(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 13.3' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 2925842, 51678] NotebookOptionsPosition[ 2914426, 51494] NotebookOutlinePosition[ 2914842, 51511] CellTagsIndexPosition[ 2914799, 51508] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[ RowBox[{"ClearAll", "[", "\"\\"", "]"}]], "Input", CellChangeTimes->{{3.92615667517485*^9, 3.926156686424818*^9}}, CellLabel->"In[1]:=",ExpressionUUID->"1e6115ea-cb4c-429c-be4f-790d4d1d31c1"], Cell[CellGroupData[{ Cell["Einf\[UDoubleDot]hrung in die Computer Algebra - 2024 - \ \[CapitalUDoubleDot]bungsblatt 4", "Chapter", CellChangeTimes->{{3.9270239720010033`*^9, 3.927024011562078*^9}, { 3.927277035400279*^9, 3.927277036245101*^9}, {3.9289036792676163`*^9, 3.928903680025075*^9}}, TextAlignment->Center,ExpressionUUID->"d64facf9-cde0-44d8-9a21-ec4ca1aa32c4"], Cell[CellGroupData[{ Cell["\<\ 1. Aufgabe: Monte-Carlo Integration\ \>", "Subsection", CellChangeTimes->{{3.9291847280327587`*^9, 3.929184749818014*^9}, { 3.929429764978565*^9, 3.929429766840497*^9}},ExpressionUUID->"23432cad-5230-40b5-a317-\ c8c4980d7eee"], Cell[TextData[{ "Betrachten Sie die Funktion ", StyleBox["Sqrt[Tan[x]]", FontWeight->"Bold"], " . Finden Sie einen analytischen Ausdruck f\[UDoubleDot]r das Integral von \ 0 bis \[Pi]/2 und berechnen Sie das Integral numerisch mithilfe von ", StyleBox["AdaptiveMonteCarlo", FontWeight->"Bold"], ". Wiederholen Sie diese Integration 1000 Mal und speichern Sie alle \ Ergebnisse in eine Tabelle . Erzeugen Sie ein Histogramm der Ergebnisse und \ vergleichen Sie mit dem analytischen Resultat . Wiederholen Sie die Rechnung \ mit MinRecursion -> 8." }], "Text", CellChangeTimes->{{3.929184706154632*^9, 3.929184752820571*^9}, { 3.929184968321639*^9, 3.929184969957851*^9}, {3.929365530549366*^9, 3.929365536482552*^9}, 3.9294299817729883`*^9}, Background->RGBColor[ 0.94, 0.88, 0.94],ExpressionUUID->"0c994294-8b24-46b0-af70-a078d2ebd91a"], Cell[TextData[{ StyleBox["Hinweis: ", FontWeight->"Bold"], "N\[UDoubleDot]tzliche Befehle", StyleBox[" Integrate[ ], NIntegrate[.... , Method -> .... ], Table[ ], \ Histogram[ ] ", FontWeight->"Bold"] }], "Text", CellChangeTimes->{{3.929184762310068*^9, 3.9291848295548697`*^9}, { 3.929433376163692*^9, 3.929433382627736*^9}}, Background->RGBColor[ 0.87, 0.94, 1],ExpressionUUID->"f6256c2e-429f-48d0-b4be-914d6cf36107"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{"Tan", "[", "x", "]"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"\[Pi]", "/", "2"}]}], "}"}]}], "]"}], "\n", RowBox[{"Integrate", " ", "[", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{"Tan", "[", "x", "]"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"\[Pi]", "/", "2"}]}], "}"}]}], "]"}], "\n", RowBox[{"N", "[", "%", "]"}]}], "Input", CellChangeTimes->{{3.92918464634851*^9, 3.929184659523108*^9}, { 3.929184875580906*^9, 3.929184896360552*^9}}, CellLabel->"In[2]:=",ExpressionUUID->"0fee0596-8059-41aa-ab38-ff969c95e05e"], Cell[BoxData[ GraphicsBox[ InterpretationBox[{ TagBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2], Opacity[1.], LineBox[CompressedData[" 1:eJwVVXk01fsD5JJdUSEpXSV6aE9KNB9tSEUir1TKUlLo4hHpVWRJJSGVXZZI dJGtW5GyJgl5ZZeQFC7u94vS/fn9MWfOnDlnzpwzf4yKrau5A0NAQCBpBv9n oRKJuh7tE1vXC1ZVlnipY/nAyy3KEcDxeTGJf7yjMMVebf853BQ/Ax5rbK1O QA6Fj7LZVngp37+Y75mM3vmOEwXhNkjwxLMW7zTcUKySzubYIWOtwxw+MwNp K44kCGSfgl/BNcvpwEy07LpalhruiloTcaG/qp9gSkNKw7eMhU3fhgpPtLIR tK7ZLZXjDoaFlW79mxwkGTgJT2R5QbdFQvOXZx4+2oSrx4VfgqBw8cZO7wLk rF+1qaf8Ms6OPbaiNArhpRPR5lV2BdzH79u+NxdCGEeXJ3H8kee9mDNbpRjK +7gFY1lBiJNacVUpiAPzs4ot98JvweacWZdrdQmkNqEkyjAMOgwn/fplpRgp Zsl2l4fh8/OO97wTpSh40Zz/T9lthAiORoa3lmJ7eeKfeE4EVtS19cqUv8LR pg1h3Ky7yMrXV7bzeo3bo0fyosITYBowUFnoU4GbctF6pdKJUPqYTxllVqAh J2CJtnkiSuQsrd1bK2D9/UivcmsijBerlMfpVsLFWpI1+iMJrBoUXBuvRKS+ Y/B9mRQ0MxXpf/+uRqfg0sJ+q3TsoueNvBx8C9V46egjsengeZlMj8+thaPu pO+HrnQ0uBjO5W2uxahb/TbO6Qzo+pF3B4NqIfz137rQC49gHyUXU7jkHTQq Wnu1Ex6jnV3rE2VYhy3luyW2ubNxc9T/oIJePWSa0t7rRLCR9YTe1GVSj69f GHdW5rGRHb9GJdq6HqECnCWKY2zkK29nd/vU48sWTe0RtxzUuO84/KaoHsG5 ksfj3XIheeOa+NTaD2hOqM2fYj1FYqvJZQWlBpzz2Xci71wRqtpj3GTrGuFc 5BDKmNlhfrLzivdVzWj6Ziz+0PYNPjDPDOxN+4yQ1ZRAwaEqJHz9WcWWawNL s+pOaWotumtkTMqCOzBldya73aUedWXj9mkOXbB9cdAs7GQDnpxtuJNzsht2 3KbS0uAmeCxAaKDbF9xYU+iaFtgMGU3/qav2PWCUFupc9fkESesAzy6Tr5DV MKnrvNeCfJ5tV4dBL4wStiWPhLehzk9XbXhZHxSGa3ddKuzA2ZihWSz5fkRX PhMUOt0F8+ZYbXmhb9BbbMBn2nfj7etDLz06v0GzS+brRY8vMLi7VX/B+wFk pc91zHfrgY5Pt40++zt8O442agZ+RTHzTmNt2iBYeptM4iN7YWE99iww9gem EnbYDob14bmnt/ivgJ+oPxd93OtBP9YD96uDh7DZcOmf9qRv0Hm6LbDt8jCq d25OJ7ED+Li5+FS0/ghSc+5v/pL5HZq9x0XkakYgt0zL6VjGIIxcWHEm5lw0 CIr5KT7/gZVppaucf3CRL+aeVl/9EybJ0T/sr49CS07GybZ8CKH627Vi1ccw HErNX988jIA5cxMXtY5hWVDQalenERhGBswrujmOL4dbW7b1jyD4ce+8H0Y8 GPU2Tua7cME0i3EXVaVw3s3BUf4nF5PJYaZbGDT2FcTslvccxZhlL9tFYgJD v518hahRHOFiY57SJJL+u/LUxX0Mn6hFdmt3TWHKUf+4968xPL+X35D79BcW T9+2ZvmMI4Y/dbFcfxpGX/YW3/UdR4b/z5VDO6bhUSmu8PLfcYRHFYUq7ZlG ze0rDRL+4+jL+3X+6uFpeKqxjFOuj+Nu3Iqbt7ymUW9qpvNf7DgWFODZrdxp +D2YPU+/ZByn1m21ttX6gz7D6zViwjyI8gTUKtbwYWtynLlchAfrpmtYvpmP 9n3angZiPKgKqQeEGPDRZNmp4iPFA7Pg09NT5nyU2a33HpzPQ47utxBnDz7i LrWq1y3n4fDeitPZxXxYFGoGRBjyIOXeeDFJVYC8VquF8nUerrT5nWeVCJDd oZ275W/yQDmy89a/ESD1vFHL2bd4qLQR4UxWCZCON4pn/4TzkDtlsf12gwCZ sD11ryOahym57vqhXgGilcDgxj/ioT/mbb6jtCCJUtj8YEkND8+t2Y8u2wiS RZf2ZCnU8uBpxbxQaS9IkvtsiubU8WCxL755rpMgYecH1vE/8JCybMi40EOQ vD3QNNX5mYfIAWaPToggEQhzPZA4wENCueFC5QJB4iSWJqwiTqEwVe1RniyD vGUE39wuSWE05DxHcQGDaE2flj8pTeFsWadhoDKDDHNXrsiUpVDM2Mt302QQ j9Z8E+2FFF6MHtSK3ckgF7PLw401KaTXqP7WucAgYRa9TLe9FM796KsdHmQQ 7r7KjEhTCgzOpJf+GIOYG2esK9w/o32ldkZMMYjcVucdvy0pdCv9628lLkSi 1XmnAo9ROOzbsm+HuhBJmRJ+Eu1KgSnQfP+FvRApTFTVf32bQnnKltTHfUJE lb/jwqsICtHGyWphQ0Ik7KhDcckdCn/THiW+lBBxXJim/fw+hRtCcpdYIsJk YaT6qvwkCrtlzui8VRMmvkEaSx7OnKyK+zAxOy1MtrmsEbz+gYKzuqvsOkqY ZNea4VojBUVjao8NX5goabIuBn2kcPTjx933xGaR8f6cSf/PFKofuo+vVJpF Uk+sH/XtpsBl2nd9J7OImOXGHhcuhWM8SZ3XobNI3Ra9cnNZGt25KpmvNoiQ kKJ/fu2aR0PDdEm2I0SIofaTtVvkaOz3DnihvFuElK5aGr9MkUb6gQ3hRTYi JE9FzGucSeNGx6OlD6+LkHuiTSui1tBIkjQTDe8TIXaNZ258NqVhm9Df+S5D lDDNUsve7adxP+l5QVqBKGmr7Zh4dYCGxYKiDZGvRcnBiv0Oj6xoFKVEiWa3 ixKjYp2tF2xoDPYM2vbMFSOrEoRGFrnS4HG7n4VcESMTTjEHjofSaLRrOcRm iZNbPsmil8JoaD3Wc5n0EydqIZmcuHAaq3VizjtEihPLDM6y1igaWVV/maYX ipPc/tYxywQaO+vkk/v44uSs/aJIEzYN5Y07xTh3JYiQh6qRUy6NRZtSys9l SpBof63fwU9p7OW1LjYvkSDVD/TsK4pocFp2rYzulyBq3Uc2GLyi0RS60tlc V5J0HY1r2tgwk5fO7BQekCRezqnBlk0z/euGIqr4kmT2xSw9j2YahwQXfXot L0X0Y1+k5LTQ4Dd4p9nvlCLRLe0eWj0zfrdC1ulUKWJhpSy3dJxG0BupNadY 0mTwpFo1oWb6dWy8qXRDmvh5rrpoM0FjuPn97QUPpUnOna29sb9pOF7JreO2 S5PZTcfyFWZNoC++I9PQdDbhMHT2hM2dgKsnYy13zhzyP4LP9Ug= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}, {}}, {"WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwVVXk01fsD5JJdUSEpXSV6aE9KNB9tSEUir1TKUlLo4hHpVWRJJSGVXZZI dJGtW5GyJgl5ZZeQFC7u94vS/fn9MWfOnDlnzpwzf4yKrau5A0NAQCBpBv9n oRKJuh7tE1vXC1ZVlnipY/nAyy3KEcDxeTGJf7yjMMVebf853BQ/Ax5rbK1O QA6Fj7LZVngp37+Y75mM3vmOEwXhNkjwxLMW7zTcUKySzubYIWOtwxw+MwNp K44kCGSfgl/BNcvpwEy07LpalhruiloTcaG/qp9gSkNKw7eMhU3fhgpPtLIR tK7ZLZXjDoaFlW79mxwkGTgJT2R5QbdFQvOXZx4+2oSrx4VfgqBw8cZO7wLk rF+1qaf8Ms6OPbaiNArhpRPR5lV2BdzH79u+NxdCGEeXJ3H8kee9mDNbpRjK +7gFY1lBiJNacVUpiAPzs4ot98JvweacWZdrdQmkNqEkyjAMOgwn/fplpRgp Zsl2l4fh8/OO97wTpSh40Zz/T9lthAiORoa3lmJ7eeKfeE4EVtS19cqUv8LR pg1h3Ky7yMrXV7bzeo3bo0fyosITYBowUFnoU4GbctF6pdKJUPqYTxllVqAh J2CJtnkiSuQsrd1bK2D9/UivcmsijBerlMfpVsLFWpI1+iMJrBoUXBuvRKS+ Y/B9mRQ0MxXpf/+uRqfg0sJ+q3TsoueNvBx8C9V46egjsengeZlMj8+thaPu pO+HrnQ0uBjO5W2uxahb/TbO6Qzo+pF3B4NqIfz137rQC49gHyUXU7jkHTQq Wnu1Ex6jnV3rE2VYhy3luyW2ubNxc9T/oIJePWSa0t7rRLCR9YTe1GVSj69f GHdW5rGRHb9GJdq6HqECnCWKY2zkK29nd/vU48sWTe0RtxzUuO84/KaoHsG5 ksfj3XIheeOa+NTaD2hOqM2fYj1FYqvJZQWlBpzz2Xci71wRqtpj3GTrGuFc 5BDKmNlhfrLzivdVzWj6Ziz+0PYNPjDPDOxN+4yQ1ZRAwaEqJHz9WcWWawNL s+pOaWotumtkTMqCOzBldya73aUedWXj9mkOXbB9cdAs7GQDnpxtuJNzsht2 3KbS0uAmeCxAaKDbF9xYU+iaFtgMGU3/qav2PWCUFupc9fkESesAzy6Tr5DV MKnrvNeCfJ5tV4dBL4wStiWPhLehzk9XbXhZHxSGa3ddKuzA2ZihWSz5fkRX PhMUOt0F8+ZYbXmhb9BbbMBn2nfj7etDLz06v0GzS+brRY8vMLi7VX/B+wFk pc91zHfrgY5Pt40++zt8O442agZ+RTHzTmNt2iBYeptM4iN7YWE99iww9gem EnbYDob14bmnt/ivgJ+oPxd93OtBP9YD96uDh7DZcOmf9qRv0Hm6LbDt8jCq d25OJ7ED+Li5+FS0/ghSc+5v/pL5HZq9x0XkakYgt0zL6VjGIIxcWHEm5lw0 CIr5KT7/gZVppaucf3CRL+aeVl/9EybJ0T/sr49CS07GybZ8CKH627Vi1ccw HErNX988jIA5cxMXtY5hWVDQalenERhGBswrujmOL4dbW7b1jyD4ce+8H0Y8 GPU2Tua7cME0i3EXVaVw3s3BUf4nF5PJYaZbGDT2FcTslvccxZhlL9tFYgJD v518hahRHOFiY57SJJL+u/LUxX0Mn6hFdmt3TWHKUf+4968xPL+X35D79BcW T9+2ZvmMI4Y/dbFcfxpGX/YW3/UdR4b/z5VDO6bhUSmu8PLfcYRHFYUq7ZlG ze0rDRL+4+jL+3X+6uFpeKqxjFOuj+Nu3Iqbt7ymUW9qpvNf7DgWFODZrdxp +D2YPU+/ZByn1m21ttX6gz7D6zViwjyI8gTUKtbwYWtynLlchAfrpmtYvpmP 9n3angZiPKgKqQeEGPDRZNmp4iPFA7Pg09NT5nyU2a33HpzPQ47utxBnDz7i LrWq1y3n4fDeitPZxXxYFGoGRBjyIOXeeDFJVYC8VquF8nUerrT5nWeVCJDd oZ275W/yQDmy89a/ESD1vFHL2bd4qLQR4UxWCZCON4pn/4TzkDtlsf12gwCZ sD11ryOahym57vqhXgGilcDgxj/ioT/mbb6jtCCJUtj8YEkND8+t2Y8u2wiS RZf2ZCnU8uBpxbxQaS9IkvtsiubU8WCxL755rpMgYecH1vE/8JCybMi40EOQ vD3QNNX5mYfIAWaPToggEQhzPZA4wENCueFC5QJB4iSWJqwiTqEwVe1RniyD vGUE39wuSWE05DxHcQGDaE2flj8pTeFsWadhoDKDDHNXrsiUpVDM2Mt302QQ j9Z8E+2FFF6MHtSK3ckgF7PLw401KaTXqP7WucAgYRa9TLe9FM796KsdHmQQ 7r7KjEhTCgzOpJf+GIOYG2esK9w/o32ldkZMMYjcVucdvy0pdCv9628lLkSi 1XmnAo9ROOzbsm+HuhBJmRJ+Eu1KgSnQfP+FvRApTFTVf32bQnnKltTHfUJE lb/jwqsICtHGyWphQ0Ik7KhDcckdCn/THiW+lBBxXJim/fw+hRtCcpdYIsJk YaT6qvwkCrtlzui8VRMmvkEaSx7OnKyK+zAxOy1MtrmsEbz+gYKzuqvsOkqY ZNea4VojBUVjao8NX5goabIuBn2kcPTjx933xGaR8f6cSf/PFKofuo+vVJpF Uk+sH/XtpsBl2nd9J7OImOXGHhcuhWM8SZ3XobNI3Ra9cnNZGt25KpmvNoiQ kKJ/fu2aR0PDdEm2I0SIofaTtVvkaOz3DnihvFuElK5aGr9MkUb6gQ3hRTYi JE9FzGucSeNGx6OlD6+LkHuiTSui1tBIkjQTDe8TIXaNZ258NqVhm9Df+S5D lDDNUsve7adxP+l5QVqBKGmr7Zh4dYCGxYKiDZGvRcnBiv0Oj6xoFKVEiWa3 ixKjYp2tF2xoDPYM2vbMFSOrEoRGFrnS4HG7n4VcESMTTjEHjofSaLRrOcRm iZNbPsmil8JoaD3Wc5n0EydqIZmcuHAaq3VizjtEihPLDM6y1igaWVV/maYX ipPc/tYxywQaO+vkk/v44uSs/aJIEzYN5Y07xTh3JYiQh6qRUy6NRZtSys9l SpBof63fwU9p7OW1LjYvkSDVD/TsK4pocFp2rYzulyBq3Uc2GLyi0RS60tlc V5J0HY1r2tgwk5fO7BQekCRezqnBlk0z/euGIqr4kmT2xSw9j2YahwQXfXot L0X0Y1+k5LTQ4Dd4p9nvlCLRLe0eWj0zfrdC1ulUKWJhpSy3dJxG0BupNadY 0mTwpFo1oWb6dWy8qXRDmvh5rrpoM0FjuPn97QUPpUnOna29sb9pOF7JreO2 S5PZTcfyFWZNoC++I9PQdDbhMHT2hM2dgKsnYy13zhzyP4LP9Ug= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, Rational[1, 2] Pi}, {0., 3.882784254920629}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, Rational[1, 2] Pi}, {0., 3.882784254920629}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>], ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, { 4.503599627370496*^15, -4.503599627370496*^15}}]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwVVXk01fsD5JJdUSEpXSV6aE9KNB9tSEUir1TKUlLo4hHpVWRJJSGVXZZI dJGtW5GyJgl5ZZeQFC7u94vS/fn9MWfOnDlnzpwzf4yKrau5A0NAQCBpBv9n oRKJuh7tE1vXC1ZVlnipY/nAyy3KEcDxeTGJf7yjMMVebf853BQ/Ax5rbK1O QA6Fj7LZVngp37+Y75mM3vmOEwXhNkjwxLMW7zTcUKySzubYIWOtwxw+MwNp K44kCGSfgl/BNcvpwEy07LpalhruiloTcaG/qp9gSkNKw7eMhU3fhgpPtLIR tK7ZLZXjDoaFlW79mxwkGTgJT2R5QbdFQvOXZx4+2oSrx4VfgqBw8cZO7wLk rF+1qaf8Ms6OPbaiNArhpRPR5lV2BdzH79u+NxdCGEeXJ3H8kee9mDNbpRjK +7gFY1lBiJNacVUpiAPzs4ot98JvweacWZdrdQmkNqEkyjAMOgwn/fplpRgp Zsl2l4fh8/OO97wTpSh40Zz/T9lthAiORoa3lmJ7eeKfeE4EVtS19cqUv8LR pg1h3Ky7yMrXV7bzeo3bo0fyosITYBowUFnoU4GbctF6pdKJUPqYTxllVqAh J2CJtnkiSuQsrd1bK2D9/UivcmsijBerlMfpVsLFWpI1+iMJrBoUXBuvRKS+ Y/B9mRQ0MxXpf/+uRqfg0sJ+q3TsoueNvBx8C9V46egjsengeZlMj8+thaPu pO+HrnQ0uBjO5W2uxahb/TbO6Qzo+pF3B4NqIfz137rQC49gHyUXU7jkHTQq Wnu1Ex6jnV3rE2VYhy3luyW2ubNxc9T/oIJePWSa0t7rRLCR9YTe1GVSj69f GHdW5rGRHb9GJdq6HqECnCWKY2zkK29nd/vU48sWTe0RtxzUuO84/KaoHsG5 ksfj3XIheeOa+NTaD2hOqM2fYj1FYqvJZQWlBpzz2Xci71wRqtpj3GTrGuFc 5BDKmNlhfrLzivdVzWj6Ziz+0PYNPjDPDOxN+4yQ1ZRAwaEqJHz9WcWWawNL s+pOaWotumtkTMqCOzBldya73aUedWXj9mkOXbB9cdAs7GQDnpxtuJNzsht2 3KbS0uAmeCxAaKDbF9xYU+iaFtgMGU3/qav2PWCUFupc9fkESesAzy6Tr5DV MKnrvNeCfJ5tV4dBL4wStiWPhLehzk9XbXhZHxSGa3ddKuzA2ZihWSz5fkRX PhMUOt0F8+ZYbXmhb9BbbMBn2nfj7etDLz06v0GzS+brRY8vMLi7VX/B+wFk pc91zHfrgY5Pt40++zt8O442agZ+RTHzTmNt2iBYeptM4iN7YWE99iww9gem EnbYDob14bmnt/ivgJ+oPxd93OtBP9YD96uDh7DZcOmf9qRv0Hm6LbDt8jCq d25OJ7ED+Li5+FS0/ghSc+5v/pL5HZq9x0XkakYgt0zL6VjGIIxcWHEm5lw0 CIr5KT7/gZVppaucf3CRL+aeVl/9EybJ0T/sr49CS07GybZ8CKH627Vi1ccw HErNX988jIA5cxMXtY5hWVDQalenERhGBswrujmOL4dbW7b1jyD4ce+8H0Y8 GPU2Tua7cME0i3EXVaVw3s3BUf4nF5PJYaZbGDT2FcTslvccxZhlL9tFYgJD v518hahRHOFiY57SJJL+u/LUxX0Mn6hFdmt3TWHKUf+4968xPL+X35D79BcW T9+2ZvmMI4Y/dbFcfxpGX/YW3/UdR4b/z5VDO6bhUSmu8PLfcYRHFYUq7ZlG ze0rDRL+4+jL+3X+6uFpeKqxjFOuj+Nu3Iqbt7ymUW9qpvNf7DgWFODZrdxp +D2YPU+/ZByn1m21ttX6gz7D6zViwjyI8gTUKtbwYWtynLlchAfrpmtYvpmP 9n3angZiPKgKqQeEGPDRZNmp4iPFA7Pg09NT5nyU2a33HpzPQ47utxBnDz7i LrWq1y3n4fDeitPZxXxYFGoGRBjyIOXeeDFJVYC8VquF8nUerrT5nWeVCJDd oZ275W/yQDmy89a/ESD1vFHL2bd4qLQR4UxWCZCON4pn/4TzkDtlsf12gwCZ sD11ryOahym57vqhXgGilcDgxj/ioT/mbb6jtCCJUtj8YEkND8+t2Y8u2wiS RZf2ZCnU8uBpxbxQaS9IkvtsiubU8WCxL755rpMgYecH1vE/8JCybMi40EOQ vD3QNNX5mYfIAWaPToggEQhzPZA4wENCueFC5QJB4iSWJqwiTqEwVe1RniyD vGUE39wuSWE05DxHcQGDaE2flj8pTeFsWadhoDKDDHNXrsiUpVDM2Mt302QQ j9Z8E+2FFF6MHtSK3ckgF7PLw401KaTXqP7WucAgYRa9TLe9FM796KsdHmQQ 7r7KjEhTCgzOpJf+GIOYG2esK9w/o32ldkZMMYjcVucdvy0pdCv9628lLkSi 1XmnAo9ROOzbsm+HuhBJmRJ+Eu1KgSnQfP+FvRApTFTVf32bQnnKltTHfUJE lb/jwqsICtHGyWphQ0Ik7KhDcckdCn/THiW+lBBxXJim/fw+hRtCcpdYIsJk YaT6qvwkCrtlzui8VRMmvkEaSx7OnKyK+zAxOy1MtrmsEbz+gYKzuqvsOkqY ZNea4VojBUVjao8NX5goabIuBn2kcPTjx933xGaR8f6cSf/PFKofuo+vVJpF Uk+sH/XtpsBl2nd9J7OImOXGHhcuhWM8SZ3XobNI3Ra9cnNZGt25KpmvNoiQ kKJ/fu2aR0PDdEm2I0SIofaTtVvkaOz3DnihvFuElK5aGr9MkUb6gQ3hRTYi JE9FzGucSeNGx6OlD6+LkHuiTSui1tBIkjQTDe8TIXaNZ258NqVhm9Df+S5D lDDNUsve7adxP+l5QVqBKGmr7Zh4dYCGxYKiDZGvRcnBiv0Oj6xoFKVEiWa3 ixKjYp2tF2xoDPYM2vbMFSOrEoRGFrnS4HG7n4VcESMTTjEHjofSaLRrOcRm iZNbPsmil8JoaD3Wc5n0EydqIZmcuHAaq3VizjtEihPLDM6y1igaWVV/maYX ipPc/tYxywQaO+vkk/v44uSs/aJIEzYN5Y07xTh3JYiQh6qRUy6NRZtSys9l SpBof63fwU9p7OW1LjYvkSDVD/TsK4pocFp2rYzulyBq3Uc2GLyi0RS60tlc V5J0HY1r2tgwk5fO7BQekCRezqnBlk0z/euGIqr4kmT2xSw9j2YahwQXfXot L0X0Y1+k5LTQ4Dd4p9nvlCLRLe0eWj0zfrdC1ulUKWJhpSy3dJxG0BupNadY 0mTwpFo1oWb6dWy8qXRDmvh5rrpoM0FjuPn97QUPpUnOna29sb9pOF7JreO2 S5PZTcfyFWZNoC++I9PQdDbhMHT2hM2dgKsnYy13zhzyP4LP9Ug= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, Rational[1, 2] Pi}, {0., 3.882784254920629}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange-> NCache[{{0, Rational[1, 2] Pi}, {0., 3.882784254920629}}, {{ 0, 1.5707963267948966`}, {0., 3.882784254920629}}], PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.92918490065911*^9, 3.929184900829462*^9}, 3.929368586174899*^9, 3.9294298125258207`*^9, 3.929434267563326*^9}, CellLabel->"Out[2]=",ExpressionUUID->"e7f5a9f6-eacd-4a56-989c-7bb8d745cd1f"], Cell[BoxData[ FractionBox["\[Pi]", SqrtBox["2"]]], "Output", CellChangeTimes->{{3.92918490065911*^9, 3.929184900829462*^9}, 3.929368586174899*^9, 3.9294298125258207`*^9, 3.929434271769568*^9}, CellLabel->"Out[3]=",ExpressionUUID->"6ebdf605-c76a-471b-b750-05de91e8aee1"], Cell[BoxData["2.221441469079183`"], "Output", CellChangeTimes->{{3.92918490065911*^9, 3.929184900829462*^9}, 3.929368586174899*^9, 3.9294298125258207`*^9, 3.929434271775217*^9}, CellLabel->"Out[4]=",ExpressionUUID->"46fec52b-90e3-40f9-b653-5d294e0e25a5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{ "Integral", " ", "1000", " ", "Mal", " ", "auswerten", " ", "mit", " ", "AdaptiveMC"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Integrale", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"NIntegrate", "[", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{"Tan", "[", "x", "]"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"\[Pi]", "/", "2"}]}], "}"}], ",", RowBox[{"Method", "->", "\"\\""}]}], "]"}], ",", "1000"}], "]"}]}], ";"}], " "}]], "Input", CellChangeTimes->{{3.92918464634851*^9, 3.929184659523108*^9}, { 3.929184875580906*^9, 3.929184912426977*^9}, {3.929523496632147*^9, 3.929523528484462*^9}},ExpressionUUID->"6969031d-d346-45cf-903b-\ 1228ea397fe6"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"10\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"x\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"x\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.9980104973627619`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"2.22605348905298`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"0.030939968011945065`\\\"}]\\) for the integral and \ error estimates.\"", 2, 5, 1, 28002648764717182493, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.929184932515373*^9, 3.929429817052486*^9, 3.929434272425919*^9}, CellLabel-> "During evaluation of \ In[5]:=",ExpressionUUID->"2d298218-bd6e-4685-ab5c-4b7ccebc93af"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"10\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"x\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"x\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.9989495861430537`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \\!\\(\\*RowBox[{\\\"2.232623319553886`\\\ \"}]\\) and \\!\\(\\*RowBox[{\\\"0.026354361703812695`\\\"}]\\) for the \ integral and error estimates.\"", 2, 5, 2, 28002648764717182493, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.929184932515373*^9, 3.929429817052486*^9, 3.929434272535645*^9}, CellLabel-> "During evaluation of \ In[5]:=",ExpressionUUID->"da376ada-0a61-42d8-b24c-7833841250d4"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"10\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"x\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"x\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.9977467710460948`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"2.3198660049289663`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"0.03625457525529752`\\\"}]\\) for the integral and error \ estimates.\"", 2, 5, 3, 28002648764717182493, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.929184932515373*^9, 3.929429817052486*^9, 3.929434272996275*^9}, CellLabel-> "During evaluation of \ In[5]:=",ExpressionUUID->"9b7eae09-ed72-4131-9ae9-0d965cada248"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"ncvb\\\"}], \\\"MessageName\\\"]\\) will be suppressed during \ this calculation.\"", 2, 5, 4, 28002648764717182493, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.929184932515373*^9, 3.929429817052486*^9, 3.929434273000083*^9}, CellLabel-> "During evaluation of \ In[5]:=",ExpressionUUID->"3d9fa4b3-2627-45bc-af08-f4e4d5eb4098"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{ "Comparing", " ", "the", " ", "results", " ", "with", " ", "the", " ", "analytical", " ", RowBox[{"result", ":", " ", RowBox[{ "Red", " ", "horizontal", " ", "line", " ", "in", " ", "the", " ", RowBox[{"plot", "."}]}]}]}], "*)"}], "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{ RowBox[{ "Results", " ", "of", " ", "the", " ", "MC", " ", "integration", " ", "are", " ", "normal", " ", "distributed"}], ",", " ", RowBox[{ "since", " ", "the", " ", "integration", " ", "method", " ", "relies", " ", "on", " ", "using", " ", "random", " ", RowBox[{"numbers", "."}]}]}], "*)"}], "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{ "Dashed", " ", "black", " ", "line", " ", "is", " ", "the", " ", "mean", " ", "of", " ", "the", " ", "results", " ", "using", " ", "MC", " ", RowBox[{"integration", "."}]}], "*)"}], "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{ RowBox[{"Histogram", "[", "Integrale", "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{"Thick", ",", "Red", ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[Pi]", "/", RowBox[{"Sqrt", "[", "2", "]"}]}], ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"\[Pi]", "/", RowBox[{"Sqrt", "[", "2", "]"}]}], ",", "200"}], "}"}]}], "}"}], "]"}]}], "}"}], "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{"Thick", ",", "Black", ",", "Dashed", ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Mean", "[", "Integrale", "]"}], ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Mean", "[", "Integrale", "]"}], ",", "200"}], "}"}]}], "}"}], "]"}]}], "}"}], "]"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.92918464634851*^9, 3.929184659523108*^9}, { 3.929184875580906*^9, 3.929184916701108*^9}, {3.929523472116542*^9, 3.9295234916606293`*^9}, {3.929523544449031*^9, 3.929523666135262*^9}, { 3.929523707274741*^9, 3.929523791204134*^9}},ExpressionUUID->"9c33f2b9-560a-4ce4-9a5e-\ a1b77cc84d08"], Cell[BoxData[ GraphicsBox[{{ {RGBColor[0.987148, 0.8073604000000001, 0.49470040000000004`], EdgeForm[{ Opacity[0.5459999999999999], Thickness[Small]}], {}, {RGBColor[0.987148, 0.8073604000000001, 0.49470040000000004`], EdgeForm[{ Opacity[0.5459999999999999], Thickness[Small]}], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.12, 0}, {2.13, 2.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{25.530368044435818`, 42.37581940552445}, { 91.04272887761908, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 2]& , TagBoxNote->"2"], StyleBox["2", {}, StripOnInput -> False]], Annotation[#, Style[2, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.13, 0}, {2.14, 3.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{41.87581940552445, 58.72127076661354}, { 90.06409331642863, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 3]& , TagBoxNote->"3"], StyleBox["3", {}, StripOnInput -> False]], Annotation[#, Style[3, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.14, 0}, {2.15, 9.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{58.22127076661354, 75.06672212770218}, { 84.19227994928589, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 9]& , TagBoxNote->"9"], StyleBox["9", {}, StripOnInput -> False]], Annotation[#, Style[9, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.15, 0}, {2.16, 21.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{74.56672212770218, 91.41217348879127}, { 72.44865321500042, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 21]& , TagBoxNote->"21"], StyleBox["21", {}, StripOnInput -> False]], Annotation[#, Style[21, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.16, 0}, {2.17, 27.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{90.91217348879127, 107.7576248498799}, { 66.57683984785768, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 27]& , TagBoxNote->"27"], StyleBox["27", {}, StripOnInput -> False]], Annotation[#, Style[27, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.17, 0}, {2.18, 81.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{107.2576248498799, 124.103076210969}, { 13.730519543573038`, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 81]& , TagBoxNote->"81"], StyleBox["81", {}, StripOnInput -> False]], Annotation[#, Style[81, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.18, 0}, {2.19, 115.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{123.603076210969, 140.44852757205763`}, {-19.543089536902485`, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 115]& , TagBoxNote->"115"], StyleBox["115", {}, StripOnInput -> False]], Annotation[#, Style[115, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.19, 0}, {2.2, 143.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{139.94852757205763`, 156.79397893314672`}, {-46.944885250235274`, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 143]& , TagBoxNote->"143"], StyleBox["143", {}, StripOnInput -> False]], Annotation[#, Style[143, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.2, 0}, {2.21, 193.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{156.29397893314672`, 173.13943029423535`}, {-95.87666330975807, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 193]& , TagBoxNote->"193"], StyleBox["193", {}, StripOnInput -> False]], Annotation[#, Style[193, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.21, 0}, {2.22, 166.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{172.63943029423535`, 189.48488165532444`}, {-69.45350315761576, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 166]& , TagBoxNote->"166"], StyleBox["166", {}, StripOnInput -> False]], Annotation[#, Style[166, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.22, 0}, {2.23, 131.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{188.98488165532444`, 205.83033301641308`}, {-35.201258515949775`, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 131]& , TagBoxNote->"131"], StyleBox["131", {}, StripOnInput -> False]], Annotation[#, Style[131, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.23, 0}, {2.24, 70.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{205.33033301641308`, 222.17578437750217`}, { 24.49551071666805, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 70]& , TagBoxNote->"70"], StyleBox["70", {}, StripOnInput -> False]], Annotation[#, Style[70, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.24, 0}, {2.25, 26.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{221.67578437750217`, 238.5212357385908}, { 67.55547540904814, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 26]& , TagBoxNote->"26"], StyleBox["26", {}, StripOnInput -> False]], Annotation[#, Style[26, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.25, 0}, {2.26, 9.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{238.0212357385908, 254.86668709967944`}, { 84.19227994928589, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 9]& , TagBoxNote->"9"], StyleBox["9", {}, StripOnInput -> False]], Annotation[#, Style[9, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.26, 0}, {2.27, 2.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{254.36668709967944`, 271.21213846076853`}, { 91.04272887761908, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 2]& , TagBoxNote->"2"], StyleBox["2", {}, StripOnInput -> False]], Annotation[#, Style[2, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.27, 0}, {2.28, 1.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{270.71213846076853`, 287.55758982185716`}, { 92.02136443880954, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 1]& , TagBoxNote->"1"], StyleBox["1", {}, StripOnInput -> False]], Annotation[#, Style[1, {}], "Tooltip"]& ], TagBox[ TooltipBox[ TagBox[ TagBox[ DynamicBox[{ FEPrivate`If[ CurrentValue["MouseOver"], EdgeForm[{ GrayLevel[0.5], AbsoluteThickness[1.5], Opacity[0.66]}], {}, {}], RectangleBox[{2.31, 0}, {2.32, 1.}, "RoundingRadius" -> 0]}, ImageSizeCache->{{336.09394390512443`, 352.9393952662126}, { 92.02136443880954, 93.5}}], "DelayedMouseEffectStyle"], StatusArea[#, 1]& , TagBoxNote->"1"], StyleBox["1", {}, StripOnInput -> False]], Annotation[#, Style[1, {}], "Tooltip"]& ]}, {}, {}}, {{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}}}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[NCache[{{2^Rational[-1, 2] Pi, 0}, { 2^Rational[-1, 2] Pi, 200}}, {{2.221441469079183, 0}, { 2.221441469079183, 200}}]]}, {GrayLevel[0], Thickness[Large], Dashing[{Small, Small}], LineBox[{{2.203999565768703, 0}, {2.203999565768703, 200}}]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{2.116, 0}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], PlotRange->{{2.12, 2.32}, {All, All}}, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.929184933445407*^9, 3.929429818085517*^9, 3.929434273288241*^9}, CellLabel->"Out[6]=",ExpressionUUID->"60d28ebc-7574-4a16-88b9-d9bfb5c67f45"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Integrale2", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"NIntegrate", "[", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{"Tan", "[", "x", "]"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"\[Pi]", "/", "2"}]}], "}"}], ",", RowBox[{"Method", "->", "\"\\""}], ",", RowBox[{"MinRecursion", "->", "8"}]}], "]"}], ",", "1000"}], "]"}]}], ";"}], "\n", RowBox[{"Show", "[", RowBox[{ RowBox[{"Histogram", "[", RowBox[{"{", RowBox[{"Integrale", ",", "Integrale2"}], "}"}], "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{"Thick", ",", "Red", ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[Pi]", "/", RowBox[{"Sqrt", "[", "2", "]"}]}], ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"\[Pi]", "/", RowBox[{"Sqrt", "[", "2", "]"}]}], ",", "200"}], "}"}]}], "}"}], "]"}]}], "}"}], "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{"Thick", ",", "Black", ",", "Dashed", ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Mean", "[", "Integrale2", "]"}], ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Mean", "[", "Integrale2", "]"}], ",", "200"}], "}"}]}], "}"}], "]"}]}], "}"}], "]"}]}], "]"}], "\n"}], "Input", CellChangeTimes->{{3.92918464634851*^9, 3.929184659523108*^9}, { 3.929184875580906*^9, 3.92918491894692*^9}}, CellLabel->"In[7]:=",ExpressionUUID->"51f64ef4-b4a9-40c9-9c90-376ade30a081"], Cell[BoxData[ GraphicsBox[{{ {RGBColor[0.987148, 0.8073604000000001, 0.49470040000000004`], EdgeForm[{ Opacity[0.469], Thickness[Small]}], {{}, {RGBColor[0.97858, 0.678934, 0.157834], Opacity[0.5], EdgeForm[{Opacity[ 0.469], Thickness[Small]}], RectangleBox[{2.12, 0.}, {2.125, 1}, RoundingRadius->0], RectangleBox[{2.125, 0.}, {2.13, 1}, RoundingRadius->0], RectangleBox[{2.13, 0.}, {2.135, 2}, RoundingRadius->0], RectangleBox[{2.135, 0.}, {2.14, 1}, RoundingRadius->0], RectangleBox[{2.14, 0.}, {2.145, 5}, RoundingRadius->0], RectangleBox[{2.145, 0.}, {2.15, 4}, RoundingRadius->0], RectangleBox[{2.15, 0.}, {2.155, 4}, RoundingRadius->0], RectangleBox[{2.155, 0.}, {2.16, 17}, RoundingRadius->0], RectangleBox[{2.16, 0.}, {2.165, 11}, RoundingRadius->0], RectangleBox[{2.165, 0.}, {2.17, 16}, RoundingRadius->0], RectangleBox[{2.17, 0.}, {2.175, 32}, RoundingRadius->0], RectangleBox[{2.175, 0.}, {2.18, 49}, RoundingRadius->0], RectangleBox[{2.18, 0.}, {2.185, 57}, RoundingRadius->0], RectangleBox[{2.185, 0.}, {2.19, 58}, RoundingRadius->0], RectangleBox[{2.19, 0.}, {2.195, 62}, RoundingRadius->0], RectangleBox[{2.195, 0.}, {2.2, 81}, RoundingRadius->0], RectangleBox[{2.2, 0.}, {2.205, 101}, RoundingRadius->0], RectangleBox[{2.205, 0.}, {2.21, 92}, RoundingRadius->0], RectangleBox[{2.21, 0.}, {2.215, 81}, RoundingRadius->0], RectangleBox[{2.215, 0.}, {2.22, 85}, RoundingRadius->0], RectangleBox[{2.22, 0.}, {2.225, 77}, RoundingRadius->0], RectangleBox[{2.225, 0.}, {2.23, 54}, RoundingRadius->0], RectangleBox[{2.23, 0.}, {2.235, 39}, RoundingRadius->0], RectangleBox[{2.235, 0.}, {2.24, 31}, RoundingRadius->0], RectangleBox[{2.24, 0.}, {2.245, 15}, RoundingRadius->0], RectangleBox[{2.245, 0.}, {2.25, 11}, RoundingRadius->0], RectangleBox[{2.25, 0.}, {2.255, 5}, RoundingRadius->0], RectangleBox[{2.255, 0.}, {2.26, 4}, RoundingRadius->0], RectangleBox[{2.26, 0.}, {2.265, 2}, RoundingRadius->0], RectangleBox[{2.275, 0.}, {2.28, 1}, RoundingRadius->0], RectangleBox[{2.315, 0.}, {2.32, 1}, RoundingRadius->0]}, {}, {}}, {{}, {RGBColor[0.368417, 0.506779, 0.709798], Opacity[0.5], EdgeForm[{ Opacity[0.469], Thickness[Small]}], RectangleBox[{2.185, 0.}, {2.19, 7}, RoundingRadius->0], RectangleBox[{2.19, 0.}, {2.195, 24}, RoundingRadius->0], RectangleBox[{2.195, 0.}, {2.2, 72}, RoundingRadius->0], RectangleBox[{2.2, 0.}, {2.205, 121}, RoundingRadius->0], RectangleBox[{2.205, 0.}, {2.21, 129}, RoundingRadius->0], RectangleBox[{2.21, 0.}, {2.215, 148}, RoundingRadius->0], RectangleBox[{2.215, 0.}, {2.22, 155}, RoundingRadius->0], RectangleBox[{2.22, 0.}, {2.225, 144}, RoundingRadius->0], RectangleBox[{2.225, 0.}, {2.23, 91}, RoundingRadius->0], RectangleBox[{2.23, 0.}, {2.235, 55}, RoundingRadius->0], RectangleBox[{2.235, 0.}, {2.24, 27}, RoundingRadius->0], RectangleBox[{2.24, 0.}, {2.245, 13}, RoundingRadius->0], RectangleBox[{2.245, 0.}, {2.25, 6}, RoundingRadius->0], RectangleBox[{2.25, 0.}, {2.255, 6}, RoundingRadius->0], RectangleBox[{2.255, 0.}, {2.26, 1}, RoundingRadius->0], RectangleBox[{2.26, 0.}, {2.265, 1}, RoundingRadius-> 0]}, {}, {}}}, {{{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}}, \ {}}, {{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}}, {}}}}, {RGBColor[1, 0, 0], Thickness[Large], LineBox[NCache[{{2^Rational[-1, 2] Pi, 0}, { 2^Rational[-1, 2] Pi, 200}}, {{2.221441469079183, 0}, { 2.221441469079183, 200}}]]}, {GrayLevel[0], Thickness[Large], Dashing[{Small, Small}], LineBox[{{2.2151544293040515`, 0}, {2.2151544293040515`, 200}}]}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{2.1169000000000002`, 0.}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], PlotRange->NCache[{{ Rational[53, 25], Rational[91, 40]}, {All, All}}, {{2.12, 2.275}, {All, All}}], PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.929184949290012*^9, 3.929429826726053*^9, 3.929434282566099*^9}, CellLabel->"Out[8]=",ExpressionUUID->"b967b9e7-2cde-4921-b667-9895b0b08f43"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{ RowBox[{"Setting", " ", "MinRecursion"}], " ", "->", " ", RowBox[{ "8", " ", "forces", " ", "the", " ", "algorithm", " ", "to", " ", "do", " ", "more", " ", "bisections", " ", "of", " ", "the", " ", "integration", " ", "regions", " ", "and", " ", "therefore", " ", "gives", " ", "more", " ", "accurate", " ", RowBox[{"results", "."}]}]}], "*)"}], "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.929523133520767*^9, 3.929523181827098*^9}, { 3.929523227788644*^9, 3.929523229276617*^9}, {3.92952381462218*^9, 3.9295239101429167`*^9}},ExpressionUUID->"80418c5c-0b5c-4b54-bb4f-\ 93e2a9e20409"] }, Open ]], Cell[CellGroupData[{ Cell["2. Aufgabe : Heat Equation", "Subsection", CellChangeTimes->{{3.927277050612318*^9, 3.92727707649513*^9}, { 3.928918446621532*^9, 3.928918451598735*^9}, {3.929366379654975*^9, 3.9293663803622017`*^9}, {3.929429773368278*^9, 3.9294297774785433`*^9}},ExpressionUUID->"81f65acf-4ce5-4bdd-a26f-\ c212e099ea35"], Cell[TextData[{ "L\[ODoubleDot]sen die W\[ADoubleDot]rmeleitungsgleichung in 2D : \t", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ FractionBox[ RowBox[{"\[PartialD]", StyleBox["u", "TI"]}], RowBox[{"\[PartialD]", StyleBox["t", "TI"]}]], "\[LongEqual]", "\[Alpha]", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["\[PartialD]", "2"], StyleBox["u", "TI"]}], RowBox[{"\[PartialD]", SuperscriptBox[ StyleBox["x", "TI"], "2"]}]], "+", FractionBox[ RowBox[{ SuperscriptBox["\[PartialD]", "2"], StyleBox["u", "TI"]}], RowBox[{"\[PartialD]", SuperscriptBox[ StyleBox["y", "TI"], "2"]}]]}], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "\\frac{\\partial u}{\\partial t}= \\alpha (\\frac{\\partial^2 \ u}{\\partial x ^2}+\\frac{\\partial^2 u}{\\partial y ^2})", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "418ee112-f33b-40ea-ac2d-823fab6d260b"], " \nmithilfe von ", StyleBox["NDSolve", FontWeight->"Bold"], " f\[UDoubleDot]r ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"-10", "\[LessEqual]", StyleBox["x", "TI"], "\[LessEqual]", "10"}], TraditionalForm], "errors" -> {}, "input" -> "-10\\le x \\le 10", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "e5d988bf-6f97-4e24-9f3f-3b5a6a745c96"], ", ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"-10", "\[LessEqual]", StyleBox["y", "TI"], "\[LessEqual]", "10"}], TraditionalForm], "errors" -> {}, "input" -> "-10\\le y \\le 10", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "5408f6cf-70fc-477c-b85e-2a157c3ee7a4"], ", ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"0", "\[LessEqual]", StyleBox["t", "TI"], "\[LessEqual]", "10"}], TraditionalForm], "errors" -> {}, "input" -> "0\\le t \\le 10", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "fe948ac9-eeb0-484e-8f7b-b27f52abff09"], " und ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"\[Alpha]", "\[LongEqual]", "0.2"}], TraditionalForm], "errors" -> {}, "input" -> "\\alpha=0.2", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "4641c821-c02f-4b0c-8235-4f237bb3f112"], ". \nNehmen Sie daf\[UDoubleDot]r die folgende Startverteilung an: ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["u", "TI"], RowBox[{"(", RowBox[{ StyleBox["x", "TI"], ",", StyleBox["y", "TI"], ",", "0"}], ")"}], "\[LongEqual]", "exp", RowBox[{"(", RowBox[{"-", SuperscriptBox[ RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{ SuperscriptBox[ StyleBox["x", "TI"], "2"], "+", SuperscriptBox[ StyleBox["y", "TI"], "2"]}]], "-", "3"}], ")"}], "2"]}], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "u(x,y,0)=\\exp\\left(-(\\sqrt{x^2+y^2}-3)^2\\right)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "2efc6a00-4d0a-49d5-81cb-29e4410cc290"], "\nAu\[SZ]erdem gilt als Randbedingung, dass die Funktion u entlang der R\ \[ADoubleDot]nder der betrachteten Fl\[ADoubleDot]che verschwindet, d.h ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["u", "TI"], RowBox[{"(", RowBox[{"-10", ",", StyleBox["y", "TI"], ",", StyleBox["t", "TI"]}], ")"}], "\[LongEqual]", StyleBox["u", "TI"], RowBox[{"(", RowBox[{"10", ",", StyleBox["y", "TI"], ",", StyleBox["t", "TI"]}], ")"}], "\[LongEqual]", StyleBox["u", "TI"], RowBox[{"(", RowBox[{ StyleBox["x", "TI"], ",", "10", ",", StyleBox["t", "TI"]}], ")"}], "\[LongEqual]", StyleBox["u", "TI"], RowBox[{"(", RowBox[{ StyleBox["x", "TI"], ",", "-10", ",", StyleBox["t", "TI"]}], ")"}], "\[LongEqual]", "0"}], TraditionalForm], "errors" -> {}, "input" -> "u(-10,y,t)=u(10,y,t)=u(x,10,t)=u(x,-10,t)=0", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "b573d379-7f82-4e14-98eb-ea01fe73670b"], " . \n\nStellen Sie Ihre L\[ODoubleDot]sung graphisch f\[UDoubleDot]r \ unterschiedliche Zeitpunkte dar. Sie k\[ODoubleDot]nnten daf\[UDoubleDot]r \ u.a. ", "Table", " oder Animate oder Manipulate verwenden. " }], "Text", CellChangeTimes->{{3.9272770901442833`*^9, 3.927277092641013*^9}, { 3.927277185346107*^9, 3.9272771856473303`*^9}, {3.927277252766768*^9, 3.9272772671818*^9}, {3.927277302864485*^9, 3.927277463347023*^9}, { 3.927277706768195*^9, 3.927277719884879*^9}, {3.927277863195435*^9, 3.9272778708688498`*^9}, {3.927370509360157*^9, 3.9273705252168293`*^9}, 3.928903684652719*^9, {3.929368030184607*^9, 3.929368036743704*^9}, { 3.929370487842849*^9, 3.929370526401534*^9}, {3.929370564885112*^9, 3.9293705972225122`*^9}, {3.929370634691163*^9, 3.929370701997981*^9}, { 3.92937079508566*^9, 3.929370824611269*^9}, {3.929370955389948*^9, 3.929370971799344*^9}, {3.929371072195261*^9, 3.929371139855863*^9}, { 3.929371250439012*^9, 3.929371439854095*^9}, {3.929371482571669*^9, 3.929371563146839*^9}, {3.929371657764864*^9, 3.929371708687866*^9}, { 3.9294300038763313`*^9, 3.929430006643029*^9}, {3.929433602363061*^9, 3.929433638222227*^9}, {3.929433673493279*^9, 3.929433676901382*^9}}, Background->RGBColor[ 0.94, 0.88, 0.94],ExpressionUUID->"dca6c4bb-3fc0-4683-9406-d7b66e69e308"], Cell[TextData[{ StyleBox["Hinweis:", FontWeight->"Bold"], " N\[UDoubleDot]tzliche Befehle ", StyleBox["Plot3D, ColorFunctionScaling -> False, NDSolve, ", FontWeight->"Bold"] }], "Text", CellChangeTimes->{{3.927697452926697*^9, 3.927697496340514*^9}, { 3.927799140561171*^9, 3.9277991410026693`*^9}, 3.92890375785045*^9, { 3.9293720699237013`*^9, 3.929372089579043*^9}, {3.929372140474422*^9, 3.92937214765552*^9}, {3.929430029656291*^9, 3.929430037495228*^9}, 3.929433391560141*^9}, Background->RGBColor[ 0.87, 0.94, 1],ExpressionUUID->"1396b715-7b91-43f6-922e-830a151d4cc1"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", "Startdistribution", "*)"}], "\[IndentingNewLine]", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Exp", "[", RowBox[{ RowBox[{"-", RowBox[{"(", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{ RowBox[{"x", "^", "2"}], "+", RowBox[{"y", "^", "2"}]}], "]"}], "-", "3"}], ")"}], "^", "2"}], ")"}]}], "/", RowBox[{"(", "0.5", ")"}]}], " ", "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "->", "All"}], ",", " ", RowBox[{"PlotLegends", "->", "Automatic"}], ",", RowBox[{"ColorFunction", "->", " ", "\"\\""}]}], "]"}]}]], "Input", CellChangeTimes->{{3.929371738878084*^9, 3.929371740229327*^9}, { 3.929523237639633*^9, 3.929523246137258*^9}},ExpressionUUID->"9af4ea99-9018-4777-b34e-\ a6e3d19a2ca0"], Cell[BoxData[ TemplateBox[{ Graphics3DBox[{ GraphicsComplex3DBox[CompressedData[" 1:eJx1nXmczlX7xzHZt7iRbexUSoRGlma+2ZIoiULaROuDPEpZR6hHhSRRKtmS LTzKSCZzV9YsSXYSUtmXVD89Kb+a83lfM+fE/HO/7s+c+3yv8znbdc73fK5T uVvv9j1y5ciRo0O+HDkS/vq8bs6lm86frxrn84nf8jx39M2Xroy3KlJpXLXK hh850LLY2LMta03YeNm+VuPKG742qcoDt3a6v868grGhPXeXMnza1JxFlz6z s+5nmfkUM7zshC31L92YXn9BZvo8hg8auytHnhVFkz7MxH/NAC9T++ZNO7tv S8qR+XcwHfyhigPW3fNc6QZTXPoU8Op1XPp3Xf4R+G+vuPw/cfYY/uNEZ88s Z7/hX81w9o9z5TX8roauvMsdP4Z3Puj40fco5JPv8AqffOdz+jtv1Hmk8ok6 8Az+XsqK6zZuOVkPnsEPt8mRq9Ul7ZPgGfzTr/e++MfvFa6HZ/AvW6aMT8x9 b0N4Bu9xuudT/auVbgTP4Pubv5FQdlrHRvAcpodn8AWtXP7wbO1oq7MHnsHz 3+rsh2fwac1ceeEZvNMMxw88h3zCM/zRPkkHDp9855P2Bs/go9LPVHm9VsWG 8Az++rDyd5btsqkRPIP3mv3TiNu3/9IYnsE/HhyV6/uvKU3gGfz2NTfc2LDl tibwDH5O6eEZ/OY5Ln94Bm8y3NkDz+D9M5z98AxOf4FncPiH55BPeIYn+js8 g9M++T04fPKdz6UPvt9/7NyWjeEZ/J3Vjh94Bp/74efbClX75gZ4Bt9wx8iC Zb7umQzP4Ac+u/PLK1ZMSoZn8BodXHp4Bn96scsfnsHnqL7gGfzN7s5+eAaH f3gGp/3Dc8gnPMMH4yc8g9Pf4Rmc9km+4PDJdz4fWFu28X1NU5LhGbz9qMc6 j65RJgWewW9+bW10x9MjUuAZ/F9Dq83cvWJaCjyDP6L08Az+q/KHZ/ABXzh7 4Bkc/uEZnPYPz+Cztzl+4DnkE54pN/ORjWvCGT/hGZz+Ds/gtE+eBw6ffOdz 86oPFqd1+cR4tvyb39kpPve48Qz+9e+v7un60Qnj2exXengGv2a1yx+ebR4e 7eyBZ/Dqac5+eAavOteVF57BL2vt+IHnkE94pnyMt/AMzvwCz+CMn/AMTn+H Z3DaJ3aAwyff+YyVXvfZ4ZWfGc/gfSpPf7H9XYONZ/CvL3Pp4Rl8pPKHZ/Dv ZA88g5fs6OyHZ/ADQ1x54Rl81hnHDzyHfMIz5cBfgmdw5nd4Bmc+gmdwxk94 Bqe/wzM47RP7wOGT73w2n/LoqG5d2tn4DD6mkksPz+CfKH94Bj8oe+AZPP8K Zz88gy9e68oLz5Z/S8cPPId8wjP2Mp/CM3jYnsHPBe0ZnPkInsEfCdoz+KCg PYPTPrEbHD75zucLQXs2fyRoz+C5JvjtGbxX0J7Bq6b67Rk8bM8hn/CMXfjz 8GzjXCt/fAbHX4JncOZ3eAb/NRifwRk/4Rl8ZDA+g38SjM/mxwXjM5/vBeMz +PpgfAY/HYzP4JuD8Rk89RZ/fA75hGeez/oInm39tNX3N8CZf+EZnPkansGZ 3+HZ8h/t+xvg3wX+BvjBwN8Ap31afQiHT77zeXqd72+AMz7AM/j0Eb6/AZ64 w/c3Qj7hmeew3oRncPxDeAbHn4RncPxPeAaHf3gGZ363eUU48xE8mz0rfP8Z nP4Oz+C0T8oPDp985/OBh3z/Gfxk3PefwXO18/3nkE94Jj/W7/AMznoHnsEZ f+AZHP7hGZz2D8/g+EvwDM78Ds/g8APPlk+qvx4Ep7/DMzjtE17A4ZPvfI66 1l8Pgr/Twl8PhnzCM79jPwSewVm/wzM4/MMzOO0fnsHx5+EZHP8Tnq29nPH3 N6y/tvT3N8L08AzO+AnP4PR3eAanfcIXOHzync9GM/39jZDPYL8uush+XXSR /broIvt10UX266KL7NdFF9mviy6yXxddZL8uush+XXSR/broIvt10UX266KL 7NeFfEYhnysy0+eMT8rMr1B8/ytzD//wy8KUjx0egZcf53C+8zvS853PfO8+ sH7TqZOWD3gh4WNdPoa3CPLndzyXdOCFgvz5LBrkD/54kA//57mkAyf9gP5F z7YaVyXO5/vnGt2zK+Nxa5/geVp80/v6/xtylb5HF0kfhemxp0Hm/2Px/peW LNS5/Z5kcNrpYwUbTF64qEvK8sz28EMG6ZtPvi/+XbVahsNfia/Xtz1XeE/K BIenkD5V6cFJX0Pp+c7n72+79PQL8N15urWffWKQpef/4NgPPvi5s61GvrfP 7OT/r1VY0K5oh63mz5Df0/duappj5Eazk/SDlZ7ygMMbfIHDG3ZYPrKHfm32 5s69qEC7rOdhL3bync9mtXdeVnR7A7Of372qfLCf9G9d49LT3sBbKH/aH3gv 1QvlBafe4Qucerf5QvjVf7x/5KONJ6284A+cLDLj7PlXzX7w/SccbvOC8KrK p66zx/BH3nH2YCflTg3sBKe9wRc49Ut67KI98DzSwyf5kB7+SQ/f8Mzv+fyl ll8v4LWD9Py/dlBf/H+oykU67Okpe+CN9PBm+z763YjAfp5DeyBf0vcM2hvp sYd6tPFY7Z/v/B8cO/l/5eKuf5Evn9MC+8FXBfVFfpQXO0McO8inTD43nmAH 6bEnGJ+ji4zP0UXGZ0vPd8bpIL29vwvzCXHKyzhUaEau9sWefdPKC36tcNLT X+mnpAevKZx2bvumQTsBp1+TD3gl4fAJTnuDd3Dq0fxSPYdymX8ofKVwe3+k 51Nee38kvGYwLoFjJ/nS3hmXbL9G6aef8MvL/6cH4xj/r6zn2nsl4UeDeuF3 VYN6AQ/zgdcXCrl5Bz5JT3smf363Mmgn4NhDvuDkH7RPa7eBv2E4PDO+Nlf9 8p3/g+Pf0u4+f2PI2Q3/3mDtkP+DYyd4S+HwQL38FuTP70hPOn5H+smZ389l 8NlvZqG+H3Q/mJKW+fvT9v/k0x++u3DFavvO/8HrZPKTEIE/+26RTqldjlo+ /B+cfIrWKTs2rWfR+OaGv/b6puSUlEYuXbxaz5J1dqflj99++LGDn36wNIXv /B+c35Mf+fCd9Ptr1mvww5yTlj//B3/RfbffdRQPfOf/4Hzns65wygl+Ksif /4PndvZb+tsbOfvLuvJGpC92xJWX7/wfnN+TH/nAPzy9KN6+cLjxs0T1Ak65 n1T9kg/p3wvqkfbb+pr3xz3d6rjlA54z59MNem/ba7/n/0uCfMDD55LP1zlc PpSX9MWDdgj+ivKHF/DdQfvhOfCDneCUFzvAsYd8sQt7wLELe0hHPrtP+eXl /+D0Z/6fqueCk75CwD//nx7YCR/wQL6kTw14Bid/eKDeWgc4z6He+T049uwo dmn3ajdXjfP5UJ07+zQo/J+r9D0K8c2Z49g2a7fheMU40a7Hfxcum/ej4cyT M2ek9li95WQK+Vj7/fGnO7avXGDpsfPbCcklJx0Zae0EPByXwJvpuTwPfIae y3c+u010+TM+g/85OOlws6/n2DgA3kf5U/5hrhwpPYPxCnyWykV5qc9iwvlO +sM/+Dzw+aB44LvtL8pO2jf5NJE9PJf/twzqi/INCeqL9nlWPAftJLpIOzGc 9kY9TJYfbn652ul04dgHf0c0PvN78iMffk9+5AOftItOM3rkT5i403Dq7ZDy p/w8d4TS83t+Rz78Hpx8+D35kQ/+NPw1+rl1yqwTL9SEZ/yUx2OJR1tU3mZ2 2j6K+jXPpT77Be0NfEXQrsBpb/AMTnugvNhF/8U+cOzEPp6DndjDc6hH+g/8 0I9oN/AEP6Sn398ezJvYS38Hp73Q3+kP8Ec/JT3+4dAhrh+RnnLQf639Cb9W 5cWfs3FG/GAHvM0Mxh9wxjdw+jXjD99JT3/HTvhn3IBf0tOv6c/gZwM+6Udz A96oR8YT2jH+OPXFd+oTPEgfv0h6w/Gf2Xf5tNGnKVeeu87a8aBM/794fOCb uWrmOvmE+du00+c1DpCe9vN8n0d/6NJ/peGs57pOmb504ANTDaddTf/ko50b 3j9muL23nzfrz0IlT9pzbT13x8Kb5nb7M5n08Jrnj3duefd4W8uH9vZy2f/G L20+3OoVvLzaIeUHTyg9d+K++y9NofzkX6DI0/f/UPV+W5+CL3rmQIsveoyz fMFp59Q3OPXOcykf/MMvODzDL+1lrHjGTvA3VF/YCf5v8Q/v4O+Jf3gHf0v8 w7udjxD/lIf0H55z/MMD+KPin9+zTm3W3q9H6ue33/16pF/+r4zLh9+TH/nw e547U/nwe/BvlA/jCfmkiWf6NenXiB/q0cYD8UN/B/9F9cJ+E/m/3djV7zOu vix93rdcfbE+B/9O9cXvsTct6HfYuzLoR9g7WnbCD/j8wD+kHMdkP8+lHNhP espxXO0NnHJskP3wTz471L+wh3wmqn+Bk8+t/V3/Cub3cNyLwnESvuhPSyf7 +4Tg3fO6fRXGX/rHDI3b2M08PL6Y2z/EPvBq2leBR+avGlqf8jzsWhrsb2MX 9tCPbD2leiRf2xf6/NLqL3Q9ZH4C9mInOPZiJ/Ms41AepQdn/Fit9yDMf4xD 57T/QHkYPybKftol/sCn4pPn8Ryey/PAea6t5/V8nsvzeD7P5Xk8n+fye/iu c+7FO17a9KmNh7Tf6cF4aOOQ+GfcA2feob7Aw3kH/LdgXAJnfMNu8JXB+ANO v6Y8tu+ictFO4PPawG+kndI+KRd84l9RLuqN+ZH0zD/Mj+DUJ/Mj4xrpmafA qWfmNXDyYf4Cp96Yv8CpN+YvcPNDNU/ZvKXyMU9RfnjqKj6xG/7xi2xfTzj+ D3aD4//AOzjjLeMgOOMq/RaccZX6oB1VC/wW2l2NwG8BXxv4LeDlA//c/Orf fd54LvMp7ZP0zC+MR6Rn/Ke8pGf8J3/6wZqgfnkO8y/285wlQfvkOQOD/KmH X4L2RnrmZXA7XxfMa9RDtWBeox7gn+/4U1f0Odr43k8eNX4ox5KAH8oxMMgH P6ij8uG54I/vzZe4pdnDNq/RTul3lJ/xcpNw+hW/mxHs/1Av1dcu6/tUw2dt PMHeg7273XXmVCOzH3sS/u3spPz8f5vsh2c+lyaM3vBWn03J/B78yH3zCtWt k9XOGfee0XPpv9RLyy/mbZpRo4a9f6QfbBm36705pdOTKQ/8HKnb4PDt8y63 emF8Xad8wO18wrwF33fvOzaZ8sDnyAHdcz+cP6fZSXvZeuj9YxUGtkupnPnc MtYeJnRanKfjlM9vsPNdwk/Pdfn/tKvYrLSeJW3dMSax+vbvhm9LJh97Lx3k A15lnp8PfOYovmr1xP8dTU50+Vh9ze7s8jGdlPDtyue4y8f6774Kzh7sJj/y ASe/mUE+2NM05uyxcVD/Bydf8iN/cPzWiR++VLHPyU03dGtSolO1m0tb/u2+ iY/+pfr11q5CO/k9OPlgD/mF+VAu+OF5YfoT44tsO5+apWdc/PjzNRvfc6TO bedLf3T+fKKt369v/8ErT43oZDjpN9S+Y9akb3+s99mWEivOny9t6SdX+az9 j9u+rAtO+uMvD83V5bmWOv8Zs/TF+ze67tKN8+qDk/7O0udf+uP3Ite3y3xu YUs/YszCKbm//r/rwElfoPm3k3YMb9kwSe2e9B8021lny8NpSeCkf/CT3x4r W/NsQ9c/z5iOtWLxti8tv+J0EjjpuywY9GreMnV0LjFu+tZ7dV6unktv64PS yof05LNLOg7Sg1dS/vU13ll5mzv7wS297L/V8WDp+73s+AEnfasWjp/6Gjfs /PgAxz846WeWcfx/6urR0qfWcPULTvpmr7j6dc9NtPR/dHTtB5z0H9V17Uft 0NJPL1Ov8L8a3VgL3HSyvV37pN1yXnLpkoK96+86Wo/2Cf7Id0ldp6/blEQ7 BE/es6Nk6qBYQ9qb6Su7Fu1Utku8Ee0KvGCjvSnDHtjXmPYDvqnT5p3Tnxza hHYC3qLcS+fGtF/UhHoHb61z3dQ7+NVKT/2CH1D+1CP4WNlDfYGnyX7qBTzX Xlde+AevcdDxA8/glZc5PuHZ9C7PD00Y8p/bkuDZdKAbksrW7XZZQ3gGPzer 3OtP3tmkMTyDH3351TYNW65qAs/gVTvveqb67pU3wDP48P5fVPjyz7bJ8Aze KM+Srr17DUiGZ/Bd0j3BM3glpYdn07cqf3i28+OyB57B94x19sMz+J+zXXnh 2ez50vEDz+DDRjo+4Rl/oN1vw3YOLl/uengG/25FzWcv/8+aRvAMfuXgN15Z vX1dE3gGHzi/3vj7mtZOhmfwrZceu/X5b3KlwA94kWGvl8lbdnQK/ID3/nBD 3zIt2qTAj+nXP1z0Wruyi5Phx9IvcM+FH/B7hzg74cf2L1e6csEP+JrfHQ/w g59z7p4l+/s379IQfsDP5kirOviBU43hB/xE7O48I5M23wA/pg/tPPeql2vk Nx7Ax/x8ZG+z+AnjAfyJP+dX/Lb9FuMBvNapKi9VX/9UCjyA99H8Cw/g60o4 e+DBzmvncvbDA/ia+1154QH/PLlevOWRiiUbwYPpQj7bN2vetNebwIPtM2dM fO/k9G7J8ABeuaLz8+EBfNCS0p98PGCp8QBe6N1az33/x2HjAbxLz4qp3zRY bTyYzlvrCHgA3yV74AG8wwpnPzyA17zOlRce8I9al6/x+bbj7Y0H8Ll3nzg1 58NNxgN4rW/LDXvj47HGg+3f3uj2FeEBfHzz9eNK5e9nPICX/apzrZEFvjMe wJ879m7rvq/sNB7Ax2jfkvKCz+nq7KS84N8kunJRXvz2sN7BC37u1zt4B/FM ucAvDeoXPG9Qv+DPBvULviGoX/Bicb9+wRcH9Qse1q/pGu/z+zv4Wzn9/g7e q4Tf38H7dvH7O/g7QX8HnxH0d/CXg/4OftXdLn94AG9d0u/v4B8F/R38km5+ f2e9/9r//HkBfOdKf14Af3qIPy+Aj1/gzwvgQ4v58wL49c1v+qHv1FHGD3jK Yn9esP125QM/4D8s9OcFi9OQ6s8LphNc7c8L4IX/8OcF1juvj/T9E/CjX/r+ CXipOb5/Av7rWN8/AU/u4vsn4BsGOP8B3sDT1+dqPWbaQPM3wLcM8P0N8Pld fH8D/MdXfH8DPGme72+An9nk+xtWrpd8f8P0N8t8/xn82oO+/wwe2+v7z+Br A/8Z/I7Gvv8M/ltn338Gf6a87z+Dz1/r+8/gXcv7/jN4gS6+/wy+pLHvP4Mn 3uv7z+DHAv8ZvN73vv8M/m267z+jZ9rS219fg6+t66+jwTu+4q+XwZPL+eti 8KEt/fUv+MwMf50Lvmqhv54FT2vpr0/BRy3016fg3TP8dajhN/nrTfAx5f11 JfjHr/rrR/Ck+v46EfzhPv560HSlpd36MdjHiNjHCPYrIvYrgn2JiH2JYP8h Yv8h2GeI2GcI9hOiisE+APhF9g0i9g2CfYCIfYBgvR+x3g/W9RHr+mD9HrF+ D9bpEet0+ORzZYO+1Yq88YO12/L7i4zqufsvPNj/uaVW0aa7k6rEa9/vt1vO d2/LjHuT1W5nrSw6P+14lfi1T9WuvS1bu92u8yHPZcZhyGq3ue+9tOy4GVXj 5Vv83T6rW7utr32DhN+Trm0+qJLxif3N5S/BJ/ZfMejv595p7Rb7Czf6qt+Q e2LXwyf2V9xcL3+rS5om2Tgs+6/cs+rVOd9urwef2F+t4Cfl+rTfaHz+9FDp NtVuTvzHfgWfnYL9inkTy1TbnVYhvr+jP97mz9wfrhifnhkvKGu8rde98J+t ileKVzm/+C+/Imu87baw8IdpPSvFv86MX5E13o49V/ixamsrxRO//ntcnWnj bYb2Wz75/Ylfvso2DpyW/Wvy/rf32k/esvFW5Y5fX21jpj9j62jZ32LA5bmm PrGiEXwWkP2PtD5dYUmtog3hs77s/0/3hmlXHIjbOID96I4ZB7A/3/j29Vve lzUO5JsRO9Zq3GX/2K/o4fY/432C/Qo+F6eX9vyBitrPnp8ZfynLHxiUu9Rb aT3LxuesLj41fzZ/YNfbpfKNq1YunmP73/r6rP2KBkmXPdlzd7l4v/822XTF isdsv2K89lsSulS4M/u8llf2R+8PPLq49GPmP3SX/X/e369agd1bb7D1uOxf tvbZy/LvWNcEnivJ/vff7jy/+fqkxvA8WPaji4dn7L+ye4Ne1TZlzWvYX7zN xDxJ2ea1Cpn96J/7FQP1nuHY575f6s5HxOKvNRzt+aV8zsiMZ5Xll45rWqzJ 7rQS8fUziyUc2ZPllybquRU7/7ijzdBnzC8doOdevfeqI4uOFjC/lOc+NyTv 2yUr1rH9iiQ9l3gL8POqnjvo0BsZv/fK8q9O6X1F67pJOxtm86/a9i1eYly1 UvHnHm2bO7t/9XBmfeX7x35FFb2/Kp3ZT7PWL7sz+S8Y/1+7Rt76ZYLe+6w6 9Xjn0dnWLw8p/xNbhl+SPO+I8VBJ+c/W+zJ42KP8Z+V7auCgHFeaf07+6Xqv BA/tVQ/T1a7goZDeT711R62x2f1z108vjec7O8Lzz937ut/+sV/xht7XTUn3 160u//MZ65pf5+1XxHV+JOdwd04DHior/2GXRPXbtlhpPExQ/j/qPKq/v50z PlTnPaxfZLafXPHSS25bl3291kD9e6PGN8rr2kPu+GsP+uu1TZn+9qqMcF8i Xe9tpt/p70usyrRnf0bV7rdtP79ygJXrY+Vz1diCk4a/+ISVa5Hy6aDzmZRr vt5DdZAOEftX6D3d1yX2e+vuJI1PtYJ1dx09/8agvpbp/dpLsf1efY3J5PlY yr+7tr3lq/1Z6yA+K+as2P3VDh+m+H7j6ZQR0mVg5yS9p5p2l78fMtXxkBLu h7j3cbmjf3Xz+1ddPSdJ9YWd/V39Rh+nufr1/eqcUaHifrs6ofyLPlV3R8Xh x8x+Po8VGfVVbON+61/PKP+9I6+uc77v7BTf780ZFS7ut7dLXDtPibe4ztsn Gav3yPOW+/skFVw7/8c+yQOu30Xbfh3hjcP59F59nvopPGDvx+rX8DBe76V7 7Hyq18m02saD+nX0dPkRbeY1nWc8FFD+Px/LObrOuSnGg/mnHZ/u8/Hu6in+ OqtQVPUnN47Bw3Y3LkV3tm/k7ZMk6n34jhz+PombB/NFCcE+SRs3DkdvahyG h5N6b9tF47atZ904H72mcR4esJd5gfnI+XWxqPjBuq9fu7ie8cNzZ6wp1nFg zcLGD89deqhynX7t19t6n+eufM/NazyPzyLr3TwIP9v03DJNRnv7JP31nv/Y Kn+fRPPjP/ZJktw8HlXXPA4/O928H12neR9+5OdY/JzAL4rGya+w9wuy9221 K/wi+S3Rvx5wfgu8ya+I9r1fsNMDU6bfAG/yQ6J2O5wfBW/YU3+t87vgq4Ls mbPW+WnwxufJjNLePgn2zA32SeR3/WOfRH5mVE5+JrzJL7V4OPAmPzzqLT82 8NujZvJ77f2X85Oja+Qnwxv2rtc4hj8pPzxqkd/54YE/Gb0f7JNgf44tzs+H Z+wvkurWBfCM/Rsz+13WPkk+2f/mCLfugN+5sn9MJ3+fhM+qwT4J9of7JHnd +i66P1b6uqqD77T1O+dq9xVw6yl4nu3WX1Eerb+C9WZUQOs1eG7j1nfRPq3v 4Nn1l8pR5cFuPQjP2HuNxttgfRQtDvZJsH9oS7c+hWfsH3HGrWfhGftffMat f4P1ZlRkh1svw7PWp9H/HvT3SbSejWprn4RyFeSclcZn8CvkH7aQfwg/A+T/ 3KD5C7y8/LEf5teYujXHbMuHz4Sibh7k+8xA5wsPyfr/d8G8OUzP3b3slkLb L5lmz82n+TFpgXsu+BOaZyfITn9fMUufBX4181VR/7lna7v8hyzwy1VB885i 8QOeU/Pdn+IzaLdx2i3thv2Ky0r4+Cn9rlZjt69C/qwv7vvRzRfgQ7SuueEb t64B5z3prXo/S7tlPVJF8xHtdo7eO7991H8/frvSp6926eGZz8od3DzO94Na R5TQOgJ7OJ/WbdFXQ75akVWPvMdcfdK9NyE9+CN6z4I95NN6atM80xdtTqFf r5Hfniq/HZxz5SWrOpznmg567ScZKTOz6he8Tcn3X7y6zSHjDbxIs301pn5z IOD5dMYU+avgP8kPf0R+OPZb/CjlA//u86f0put7ZsZNpR0ucf5zxo5VfR/s d8NXVt6N8uefkz9PuSYq/TalB/9e64g8q4bu69Dja7OT82nXrBp28/1Nvrfy gt9ZpmWJ6bXHmP3g60s73Px24fWUD+PVxmDdgf3P6zxa26m+/e49zv6U4rIT vLfWET+oXNg/TeuC+8Qz+HytI8aqXsiH94kt9b6S9OAJwfvNybLnCtlDubC/ qRcX6IydY9/f1NWvrdeE7xMOb+D3qr2Rf1qwLsCezfKHH83v+pft18l/Hq1+ AX6z/M+Wa/3+PlPvfVYcc/0de8hnq/op+FPyJ2PfunGG8e2Yxq02Gq8Yx+zc UBMf17gXheMe+8zB+S47p8e+PfXFe/8Cqi9736H29vOsqanPPrPV6hG81GyH 2zku1WMu4XaOS/jlQb8A/6m03y/ApxZYeHnfQ89n7TMIr6V87LyW8GqzfTtp DzM1LvFce++pczjgjIeXd3r26tR+m61c8FNR7Zx6Z/xZrzgklJdzBSV0boH0 2HOb0pvfqHbypJ4LXk7+QLGm/96ddOMe44H++B/1R9L30Xz9xNb8uVtsPWT2 sE91KPBDKmk/5/lfW365rOWnWfUlv2JL4FcM07x/PMDxB3YLh//yWkfPVP6k L6V5v5Tie4DjD5ySnZTrYe13/VrOrYvBKceSw8MmnVq40uqR/SL2E8CHy//5 WPyAXysevtC+FnhB8b/3Rsc/zz2r/Esqf/CByn9CwP9mzWsLVV+UF3x8gDMP TvT2bQpH1zN/qryUvz7jonD/veTplHA+Nd2AcMqbqPoaEPDwf/LfJokH8B+0 b5M/4Jn9n3HiAX4KK/+rlL/58/I/Nwf536v9kJ3aDwGHj0+D8qJL2Bv4pZyf nxn0l+/kX306qMeny2791vCb9Jw+2k8Df0P+QL3Eu7ZPazTW+G+l9OOCdshn Z+XD96XKZ4jyIX/sPFusWYNfns9aR3TTvHx34P/00Tz+S3mXj603lb61t2+Z EDG/twny6ap9nuJb3f42+E7Nj0UH+/y0FP8ljrjykn/o74GzTtka1Es4X4Nz Pud1+avgw4JxBpx92u5BefEb7xROfdH+/9zQoHvSmPWWD7qS75U/9cU+2M/a /wf/Svy0Ez/gD2q8ahy02056/j1BO+ml9wubgvx5T5EzyB9/fpTOUzG/zBW+ UvHVwfHnC01y8w75MK+9ovNppE/nPGGV7PcRcK4+Z/xdzV/0Q9rtz+KT/Kuq vRQL2v8rarc3qP2D4zfWkT20N+prkfoF9sxS+rWVfTvx964I7HxZzz0ovxe8 mp7zfVAvtMO3A56nCl8Q8Mz+88t6Lji6pHTp/cHxN0ZI3235yL+a0MHp3P1z 3b9mZJR15wCx0+J5FHf80P6/COYR2j/+SXednwSPaf+/yIFxub7Nvc3WF5fK rgpNnP08l3xKtXDnNs2PUj73630K+Fvy/zedeHxjj5MjDEc3k1D28ZJHqzxl PODXNVT8AX99dzC97S/uXgzaSVk9t7qeC56u56bpueA8d20Z91zzc4TfonHD 9pOVf2nxgz0WBzGoR3Rjrzf2z7uCX1/l1O1ld5c1vLT2k7fpfSs4++F1H67f 4/jMdmYP48nzHbLv/yeYfm1AsO5gP2r44ex+VyxifOA9Hfkznv9L/jM47w2b aj8HvI78qJHy92hXuzROpmkfA5x5ZEGw72H3Suj8J+0EfWKh2XdftarBcRu3 2Z+/dq+/b3NU7wUGHPL3efD/L9O5Svj5WftCk7UvRPtnPGlT1t8PYf6aFuyH gN8t3sALyf+ZEfjbtJ+vVF/g+MmdjmTX0Z/JaFTIva/sEfSvFdqXiJ30+xc6 tmvUv2hXB5X+/4J+QfojQb8A7xjMp8ybu15stSDXtsWB/xOLR5VdOwevrHMF kzu5dg7O+YFfH3LtHJz9t17N3PlYf/1VLN5R91yAUz+MV/78VSz+RZB+svpL v6D/WjztIP0Hmmc3BeM/7/cnBvkwX28J0jOetw3mL/Z5FnXyxz3m6yFKb/sq xHkT/5Sf99TFp/r7RX+e//vvtI3n1OMHeg9eUOMb+fPePFH7NuB11Q5LBfPF TI3b8WCf6nXN1/uC+Yv5fUMwv5P+sUo+P+Tf8S6fH/yHN5Wedkv+rJdJP1vj zMdBvYxSf1wd1KPFt1Z67Gc871zFb+flNZ536Oy38681nvfUeE7+yzQuNX3W b2+8L54Z2JPBOfCgfdaRPf8L2j/j3gGlt/eDqp8mlf35aI/64zL1R3uPr3bV dYpfv8zXE4XDf4w4RtKbg/PeZI5w2tVpra/fvb3u8q0n+gX7uvH0ekvcvM93 9g8rtPf9JfzDGdJN2H6Rzh3VLFBk7e9vVbJzSowDy3Q+h3xoV0PKuHx4L5am dVwZncewc8Xip0zbWccbP/WE4ex/cv7E9JKyv7XS8x7qI/ylmzY2SGp7heFP y49tco97rp0vUj7sD5s+UXi68ic9/Sh6J3t9/eWvqLyfl/b7Ke9ti839dcOo +x6yc3f19H751vnu/TI45+EXeufzYxH+ZKr8Iux8R3weFJ/g32j82SPewPED C80f9WHH1Vn4lfLTThZMaf/Bo1eYf5gg+wfLft9/Kx/VnNU8830uOHrwcdKD g9s9O7r3B1zvfaKDn/t4OeVzJt3lg86WfVn04OzPmt5C+7ToRcE514q+0XRL OofJvAXOuUHT6QnnvBzzCjjnx+AXnHNW9IcwPeOj2SM9EeMOOPoaeARHV8L5 ftu3lm6C8+jgnPOHT95jo5eHT3DOpcMnOPpl+AQ3va34BEcfCp/g6CLh0/Qx 0gnCJzi6OfgER18Gn+DosODTzpVIlwSf4Ohx4BMcvQl8gqOP4P1ByJvdr6px y48zUNVwzvnbvavC0YPbvavC0S/bvavC0dvavavC0ZnavavC0V3CMzg6RLt3 VTh6Pbt3VTi6Nrt3VTg6L7t3VTj6Jrt3VTj6Hbt3VbivN6kahbz59xbFLD6D f89RzOI5+PcZxUxf799nFDM9uH+fUcz0y/59RjHT7fr3EMXi6Pv8e4hicfRu /j1Ef/nz0nn59xDF4uiY/HuIYnF0N/49RFnlhR/8VuJRwA84+hH4ASfOAPyA o4s3fbhwdNzwA857dtohuP+e6GA6OPsttENbBys9PIOz/oVncPSD8AyObg6e wdGFwbPl09LjLQp5g2fWo8TxgGdw9DjwDE7cBngGJ84APNs5LJ2vgGdwzi3A MzjvK+EZnPdu8GznZ5QensHZZ4ZncPYHTAcoHB0iPIOjszM9lXB0YfAc8gbP +E3EP4FncPRN8AxOHAx4Bh+6zvld8Gz7zVpHwzM4+8l+/Lczwf4w8WPPZLDv 58fFOpPB/i08g7OPCs/gvIeFZ/CueV0cCXgGR7cIz+Do7OA55M2/5zeeTnwY cPzESgH/pL83uN/W9u2CeiE9cUjASX91UF+k333Be4Tj6Y9d8B7hePqWC94j HE8fcsF7hOO2X+rfIxxPf/OC9wjH05df8B7hePqBC94jHE/PdcF7hOPp84N7 Qu29U1CPpEcXCU76UUH9XqReorBeqF/TbQTjGDi6P+oL/EAwjoETzwQewLcE 44Od4+7ijw+mNwrGh9Ae7Gf9Snwh7AdHn4j94GOD+c72s4P5DryW5heLxyp8 QzDvgM8P5h07bxXMO+DoVSlvaL9fX3+tU8v4/o/p3Qf4/o+d9wn8H3DiyVBe cOKo0L/Ax3fx/R9w4g/ADzi6e789xExX7reHmOmg/fYQM92u3x6yymtxmrTe beb7k4ajP4UfcOIUwQ84cXXgB5x4MvADTnwVxh/wXYEfDs46nfEHnPgV8AxO PAd4tjhAqb4fDo5OH57BjwV+ODg6aHgOefP7XWL0kb8+Mhw9r9/vEiPiPvn9 LjEiTpHf7xIj4vPAs+mGc/nrSnDit8AzOHFO4BmceCDwbOXK5a8rwYkL4ff3 RIt74Pf3RNPp+/090XTlfn/P4i3YD4mIPxbse0TEywr2PSLiOwX7HhFxjYJ9 j4g4P8G+R1Tzugvue0TooYJ9D0sf7HtYXJFg38N0IsG+h+kggn0PO7cf7HuY Hh8+wTnvh/6ZfZI07Reh1w33i9CXgt+u/SJ0leC/a78InWG4/7ND7w/C/aJj OicEjo4MPRU4uip0PuBvSWeErsb0jtLXoLsARz+CTgCcc+Pok9nfQKeMnhYc XW1lvTcFR0/6ut67WHwg6SuX6z0Z+DTpENGJgb8vvRj6JfCu0k+hFwJvIN0Q ehLLX7oY9A/g6Dh4r8Y+w3jpgtGpgqOH5f0u+HrpQ3m/CH71S9Oe/XtfBZ0V +ETpvNARmS5Q+iZ0L+BPSL+DTgM8t/QmvFdjHwB9LudRwNGr6rvtG6AvQ08F /op0VeiFwJtKNzTQu7cxFs8nnQv6K9bLb0qHhb7I1u/SGaGHAd8vXYyNj1oP oj9CJ2PnN6WXoR3j3xJvgXgBdo5McQPQt4OPnOP2vdF1m25U76fQOZsuU+eR 0P3auQmd30M3C45+Fj0nOOcw0TeCo3Okv5vOr3aT/C9mrEpGtwaOfo3+Dp5P eiv6Ozj6IOIm4Fc3Es/o/MH/kN4ffTt4TZ0r4BwtOLpvzsuCo4PmXBo4OmL0 nOBnpHNhHAD/SOcW0OlZHAjp9RgHwAtJX8Y4AP689FCMA/jbNaSvZBywOEk6 p0G/Bv9cOkr6NTg6Qfo1+JfStdGvwdFh0a/xbyPpYenX4JxLof9a3CbpEOm/ 4JOkm0PfBV5UOq9BOqeLv1dKOnT0deDo7NCDgf8mXdjnOl9FP94s3Tf9F7yW /B90X4wDTaSrQvcFjv4LXRY4+izOeYPnTXd6Ls73MG6gO+P8JTh6Mc5tg6Pn Qsdl+jbpuTifDY5ui3PV1O90lQvdFzj6L3Rc4bwc+DP2/mtNMM6nBvdcgKNL AocfdEmcqyA9eh90PqRH74POBxy9D++byQfdDXob0qO7QW9j9av80XeBo/Pi /Jad/9W5IMoFzjlbzoub/kbnHDj/avuoGn84BwyO3gddgZ1LUj7o5Sy9zkeh Z7NzdtK1YT84+jLnV/9k+1HosyiXjefSc3GOysZ/6X3QcVncEfGJf864R3xF 3ruTHv2Rv65PsDiEPBec88noduxcg/Q76IjIHz2Rv14rHBG3k3bIuMT7etpV iPvrtcIWFzHNszNm+qbcfv8yfRB6SPAq0hkF751tHZHb958tn+VBP9r0nrMT nPaMbmhC0F8KzvLv9SY9uiHyob2hpyM9OHoiu89P+73oCskHHP0d+YCjP/Lv xzmTge7Mv1/gTAa6MNPpqX2i4yN/8J7CWQ+C79W+93KvPSRE9YLygqN78ved Eiw+JHaCozsjf9oPui3yt3PQwuEBHP0U/Roe0En59zvH09df8H7nePptwf3O 8IDuiXU39pcN3uNgD/FR0UeRDzop5kdw9FCMb+TPeTB0ULRD9FCVgvn0UODv gaOTQp9A/seDeRYc/QLnO00XpXOeFQIcPRR6KqsX2bk5GP/RGS0PxvMpwX3E 4HuDeyTtvZU3/ue2esefRzdl59C1LkA3BY5+Ki2wB/0RuiPSoz9Cd2TnypUP +iKLZ6n6RS8Ejm4IvsDRDaEro52gL7M4b8LRl6H7Akf/Bf/UF3quzwKcc/jo oGzdpPKig7JzuCrvomAeR+eCvoJyobNAXwGOzgJdCjj6FM6Rg6NPQZcCjj4F XQo4+hR0TeDom9DPgKOjQT8Djo4GHQvjBnoWdCng6FPiwfiDPoXzf+DoRNKC cQmdCHoq+EdXRbsFR4eyPMgH3cdPwboP/RH6E9ojOhTqEfyA+Gf8pN7xQ/z3 FAkR8dIZh8HxD4cFfj7jj91Hq/pHD/VikB49FHo5eEA3NzNY/6Lz6hb4mXcH 98PaeCLdCuUif+LDm+5OOPo78jFdpuqF+QKc+Nvo3MDRu6Fzs/0KtcMvLtJ/ KRd468CvNv6FM6/h/xD/fH7gR3FOm/PZ4Tl2zmfbORadu0YPAJ/oAtivA0cX wDl+cHQBtAdwzmNzPhic8/yc4wfnPD/7DOC/eOf5Y9ZP0y94/2k8HT0U5/XB Obe/IsA5/39dkL/PW9Z4wrn9CcFzObfv338aT0eHtTHA/fP5B9NpP8SxR18B js4C/sHRWfj3nMbT++o888wA59y7f59pPB39EefawTnfPipIz/l2zp3bukzn z/37TOPp6JgygvScP68TpPfPn/N+qnBE3P7NwTjZMbg/PfTT0CGQD3oEdAjm 33r6LPzJWMS9AP46MRYRV59xwHRLj6zbMumRmqZ3tTgr0itpn9DG56d0/9ck b18rIUKHxXoQ/OXgfk/wfRo/13jjedY+GOM85UWfxbxGPxgz3L/fExy9Ejjl Qq+ETgkcvRLtjfKiVyoV7AuhV0JPRbnQVfnv3xOi3sG5LzuHoHUu85HVi3Qu vKcgPXo0dGjg6NEYz8HRq1Iv8MM9HcXdeGvPRRf5hnDGN3SO6BvNX1J/R08I js6R8ZBxAP0FugvbV9H4CW8Wl1TnuLAfnPtE0EOCo4tED2n62sBOcHSR7D+A c48D4wM4ekZ0jODoGdExmg5S+pdhwbyJ7tLvL7GI+03QYVKPl6le6Nf2Hkf1 yPhp8U21r4L9ptOX/eh2wNHvoNsBR7+TX/v5FsdIepYrgvcF6C6fD8ZzdCuM z9i5eOJi7x5D8FGn/fsNaZ+Pz3iz+pLD1VPulp8D3uHTufsLzutp/Nt7K8Xp hQeLg1XoiS4vd96Q3C8Y38qn+vcbUo8Dcm3c9tQDnYgzmLW+0Psa4mSBP3mN e7+DDgd80aOJWyuszZlCvGb4WTXT6TIaK3+eu3Gey5/zAHZOTOceicNFPtNW u/NpDQM/Ybr8EHQg4OhBeF9v/VF6ljF6PwJ+6jFn/2T5q7wv2Cc9yz7NX+Do evz9n6x9P3DSvyj9DvGGsHPtmuxxh7LmX/Q184P8ibOEnwlOevQ8Fm9Duh7/ vsV4OrqYOYE96F/QL4Xl7ad1EHgj6ZjWyr+1eJLS7/j7YFn8gJMefVNNjQ/g p5QP8eh5P05cfeLtgr+guLvEtwWvr/eGxK/nPfU1isNPHHZw4smPVnnBu97X be7f79OJYwu+VPFy+ysOPv19h+L5E48enLj0xE+3e7cUR315MO8Td3d8MJ50 k96NOPuMD9wXQLx7OyevuPfEZwefrTjtxBMH36C44sTrZzwZoXsHiDsPTvx8 4qSD/7nNvfckrig48U7Z97Z4Nrq/gPj14BUUh5/4mODNFefT4rGzProu+70G WeeBuQeBOP7gxPMfH4wnxAslriU48S1pn8wXl+vehOWBP0w8Z9oh8yD3KdAO wZvrHALtDfxbvafj3gX6F/cvcH8A+EM6F0G8e5uXdY5i5kX6Ke0wfE9BnGLw aopXTDs0PZ/OgXBvATj3FxBnH5xzJsSXt7jjOpdCvHW7P0rnN4gTbXFtFS96 h9YF4MRPZj6198iKG0w75/0v91PQzsE5t0M7B+deAN67gRMPn7jw4MSHnyw/ Cnyq4nsT5xp8vuJdE/fZ7tOQfo11DfhRxT2m34ET15f+Rb/hngid1zK8mM5r 6byH4cN1vov9SfACim+PHhh8ouLAz9A4D75H5/Qqav0CfqX6L/uQ4Ll0Do04 zuE5PZ2XM/xnndPT+TrD9+icHvXCuDRR5zpyBv5h/bedf1hC6enX05We+K12 /lxxXIkPyPvxu/T+jril5E/8UuIVMo61UtxC3tdbnEXtnxPPC5y4XsQ1s/h8 Ss/6lHGM+ELExwEnTg5xtZgXXtY+J7jFtdI+Nutu8JjiTU0O9m2I20A8BXDi KqBnBieewPhgPwR9PXFD4JP4IeyTM34Sd2VesH4kPs/rwXqEuAcnxbPdvyGd +2j5kxavWvr0gjrHRb2U0zmu+YF/+6X0I+ic4W2I9M7ot+19gfBygV+HThm/ h/a2NriHCDxhqH8PkcVBz7vEuz8L/Nu2Jytkvz8L/NFyhZvWvPJsGBc6PiV1 2surF1xjcaHBm+l8Kf0E/PzI5+5fVvuQxX8G7/DD5Mer5E62+M92f0j3m678 s0lei/8Mvnpwjlx/z4OMd+C3zJm0P8f339n9OOBN1R/hx3S+w3Z49wqBdz9Z 8q7s9wqB33RyUv2h2e4VAh/08dSTh/pk3SsEXrxw1TdytFhounXwGdIXwwP4 wRmv/tJj+0qLNw5e7/pcXcp2WWjxxsGP72nw1zif1+KNm/11bt60s/sqizdu 9osfymv3JTaMNc9+vw/4jY/UXlEi2/0+4E1nXVny50NZ9/uAH1i2fM6ubU+a vh68unS+lAs859mVvf729+yeXOHpJZf2Hzu3hsWrB/9R5aVc4LQH/56yWHzj yCda5M92DyN4o+/ebJr9vhvwBNlj5/uFJ4l/P45rLJ7aw2+fFn/33EvefTHg 37zr6pd8wDN+dO0/PHd6Sx3/vhV7X/OS60fhudPwvhLwW47698uAvzpmXqnR W+9JDt+rpmv8p1wW3/dll950BcL/p3aOnXYu6Fk3Ptg6TeNBeC8J+K9bZ72Q /V4S8DXnarXdtfCc2WnxTb88nPvZfVPtPRb4L5qXqXfw1D9cPnbfFvnMdu2Z cll8mmWuX1Mu8McS3XiInRYf5dbvn173Rtb9TXYuqIN/Dwj4yhdc+8Qei9v3 qOt3/j0ChaOfT7nxB3ss/ujtbtz2+YlF62SPX95YlNbY9Xe/vLGoy2k37vnl jUW9C7r5Ap7tfqRtrr7IB7zTc25cNd2I8I3D3XzkxwtNjF49ll0vE/+HXsYv b2J0rc5tBvNOFN6PY/ETND/SLsFbq19Qr+F+AvnQTplP7V5y4XM0j5C/jW+t d8/6e51C/uA/q5378Z9j8es1L/v3NsZsPvLvbYzFl2vctngiqn/mcfIBv1nz F/mYPl3jPPmCfxmMn+B7ho959tWeVySbP6F28bD8BJ4LPlDzI88FjzSP2Dgr fOvvrp/Svu2eyTzFV/z3wHizB3yQ9kVNbya8wzafZ4tnmeqPS+DM19hp78E1 TmIn+L6qbl86PMey6nD2+KtZ+9K3aR8bO8EbBuMq+Phj/v1H4OF9VfSDZhe8 BzyePuOC94DH06td8B7wrPezF9u3xE7wC9/fHf/H/d30g3wv+PMX/OEHYj/4 oRnevGnjWw/5h/78EovqaL7255e/yuHN74VtfFutcZj8qZ818ivIHxw/hPxt n1N+C3zaPVd6Lv0nK07SqGz3FSbYOOnPR4UNX6d5AbvBlzb2xwHqp438PZ/P xOhh+Yf+fViJ0SGVy5/X/vKDxKc/ryVG++TPMO6B/5/6kekihDOfUi7TLWpe 8+fHxKir5iN/fky0+SVYB0WtVN5gHRStUD0G66Cov/y3YB0UrZM/FqyDou7y u4L7VaNd8nOC9U70qPyEYL1j83Ww3ol6aZ4N1jvRl8P9+27A6wb33VCOVPlF Pv+Fo4OBvwQf2zTe2nkv5bNI45h/P28svlvjnukflN9g5U968NurT+5VN9v9 jPy/hXC+w0ctjZOkBx8k/412buNicI+Mvf9V/n5/T4i+C3hgvCqlc62kx67j 4oF05FNO6X37EyLKhR085/6AB/5/h3DS2b00wuGZ9B8F9WLzQnDPIPaWD+yk fEcP+3HCeT7+M7+3uKfKx+LLKb9r9Fw/jnE8vYvOk/hxiePpeRWfhO/kM0Ln c/jO/58Tjt3gA5W/7zcWjkKc9vOCN39lnRvBP8dO+CgQxLMlnwlaj5DO4iYJ 9+8vy+p35E/6b9WPsBN7ugT287s84o3fwxP90bf/r3E06EcW71Z+FPaR30L5 dfye/PME8TPNf5Hf4sf9i6d//r6LJ2DnEdH1Kz3pwFco/f8DDGV+0Q== "], {{{ EdgeForm[], Directive[ Specularity[ GrayLevel[1], 3], RGBColor[0.880722, 0.611041, 0.142051], Lighting -> "Neutral"], GraphicsGroup3DBox[ TagBox[{ Polygon3DBox[CompressedData[" 1:eJxFmwf8V9P/xz/3fu6551aUkaakREYoqYxKIaMQDdlEyo5sQmWPzJCRbLKz 995KkR1lNuyEbP/X0+v8Hv/H43se79fn/T333nPPPee9T7v9Rw86Iq/VaheG Wq0uGkRXFO2sH5dmtVovtZXU5qv1VFtRbbOyVjtKfY5R31v0+3q1Rfp9megg tWZqq+mm+4m2UXtb7S21Qm1YUastLxpEt1FrLFyKjhZdTq2utrWufU90U7UL 1BqpNVT7Xv320P++E22vVon3r8a5s3Bbxim6iVo74ZVF9xXtoXaAxtYs1mrH iZ6oMT+s8Z8n/rmix4nfT303rmq1A/W/A9UnE+9C3fdk4Q/0vLX1/1bq30R0 qdqqwiuIrqP2jfp8qb77CvcVv6Po3WpNdN1dopPUthB/LdGJ6neS+r+v/90s 3iZqI5hHPW+k6Eg9/0f121v//0F0uNpg9eksurna2sItRa/Sfc5T/8/V7yfx ljDfaleLf774X4i/g9pKaoXaBbrvDeJP0f+vV5skvFj8scK7Cz8rfIPw5cJf C08Vvkx4kfCtwtcI/yB8HWtCeKHwtmqf6Jmbq92mtqbat/rfjuL3UqvULlf/ M8WbJ3yF8FnC84UnCZ8h/Inw6cHPKvUt2mkeRgmPYl2pz9XC3zOPwjcJ/yJ8 t/DNwr8KL9Mzf2Vu1e4U/0bxfxb/AeE7hf8SvqPud18qfK3m7nfmSfRk8XcT /xnepfC3eEX4fdHz09p7QG2rNLf7lqZvi36kfhN0bQ9d96Z+fy/+DNGxGv8u wgcKl+pzf1r/Xwlfov6bqX+f0vgSPf8Q4a31/71KryPWLffdPDd/dbX9StOr RYdnXufj1WcN9Wmv1pmxiq4herr4D4qeqbah2u16xr3i/aP/t9Wz2ecLxdte /1tHbap+DxSzN3Og3x0yrzHGt036DV5N134q2oa1r/YWY9V9Xld7R7i96LXq u75aJ7X+Guu6otuLDlB7sWY8JX2Ln/S8DdQ65Z7ntUQ7qHVhzOr3NGtKtDv7 knkQPUf0ULWual3Ud0O1zYTfVJuZeR42Fq9r7jX5rdo3mffk2uJ1zH3tvaL9 NIaeuue6wo+L113tEbWH1TZSe6i0zHpQdLboWYn/mNohat3UFmSWd73V3tG9 htEH+VT6O/yhNfwUz0tys5uetWuSp58yr4k/VtdcLrq36MVqnwtfJDpP9OO0 vxarTcosR65QO0mtj9qPaj+obck+YL70jF9E71I7QbwzRP9Ue0n4HtGlmeUF a3px6T27tegO+i5tNObzdX1/4dbCZwu/oHHMYD2JNtXvG4X/1v8OUZ+Boo+K d7DwTsKPCB8kvKPww8KHIpeFHxP+V9f9ozYUWSf+3qLP55Z3yL3ztG+OFX8f 4RdYi+JvK9xQ/KPF30v4OfF/E/5SeC7yQ+0E4XfFP0rj20H3X0/0J/E/F/9D 5I1+lzxb+IHC+qVAPmfWQZF5Dx5PYz2rdW59hF7pK35f8X/UtfXCeukv4T3V p4Hw4eyd4HnooTnsy/4S/w/1+V3tK+SbaLvCuisX7ZzWbBO1U/W/w9Rnpnhb lpare7N2CuvQDUVPTN+8hdrzaS2jh97W/75kDSG3kDu6dmWN/4jge64ofFLh tbam6AV61rnif6pn7cQYcq+Zt8R/Q/xWovcU1uGfCe/A+hd+Vff7Wfz90DOi JyCDxB8u/jhdf0CSR2sUtgsaMq7SOmhCsJ5Chn+n67cS/3rhbUUni3+V8Lfi H5hZ7iH/rhR/sug3yIPCdsdyoh8X1nGTRdfQ9QvUbzv0tX4vRt/p96DC67mZ 6On6fbz47/C+hWXwiqITonXZ+RrbAPVZVfhc9TlF+FDhGcLHq99OyDLRLnXL zCORHcIF61d4o7ptpTHCPQQ0lNpY4Y2FdevaccLdhDXU2gnIOOEGwuOQTcKN hM/ILaeXsMbQDeI3ZN7E36JuG+wo4b7CKwsfK9xHeCXho5lP4VWwZ4S7C+vV aiehN4SbCZ8svLNwe+GLhHcTXoc5Fh7IusTmE95OuKXw6cLbC7cSPpP1IdxU +HjhYcJrC18hPFh4TeFLhXcXXld4svAQ4bWwAYUHCXdAxyFrhZsLnyq8i/Aa whcn++c6tYXIYvGXEz1L/D2E1xO+SniU8ObC01gnwpsK3yY8QngT4VuxMYU3 Ep4qvK9wF+HrhD/Vx/oVu0W8kWqbCd8u/mPC9wvnondkthGD2qP6PV38jG+u flluW/BxZIdoHdutbvvkNWwc4eWFzxFux/4Q3litsz76lqJbaiGcpY+ynfB2 wsvU/1/sFtEj6+Y/oOvGCPcXfgg5hm5Ghwu/rjH9LNxNbbzuM0x0mO7TTvef x/to0e0p2kn8q7HfCs/lfPGOVZ+9kVGiWxV+v7/F71VYfv/CN9T/VhAudc/W 0TZUW9HbkAXi/408V59V0EHoE/1vIHte+LPMtjw+wMDS8/yv6IWldeMQbKK6 x34ja0zPXRmZK7qK7vOR8OPYBaX1526iN5bus6no8+kZz4meov5zhZ8o7WvQ 51Td93L93ll4BPou89iQ0WcnG2GZ+qxd+rss0juuhf2GTBD+ru5vdQNrWH2X Cm+FPKr7232D7ip9jw1Ev9bvrsLXI0/0+xfh9UrrBnTEPeLvWPp73Sf6h+hv aruozUq2wy+J93viL036cYnoFaX1+e6iV5XWz3sy97nfHf3RLPdvfKEP1S7O rKta5H5/dNtEtSMy9zlHc32h6B6it2MLYCvUTDdQ+561rrk4BAEX7O8hc0br 90PCTwsvX/e+eE54BdFH1J4VboKc03dZqPu8rHE+rGe05DrRFcR/V/xHxF+k fo3R7/pfjp/Fs6L9QtbVaciXzGsAn3ECa1e8Oep3Eesr6elHdN97RA9OdOek u3kmY0DHX1zahh8mOrX0mh+i9xpb2gfclTVZ2tYbypj1rGfQ++j0zN+M77Jz 8Hc5QuN8INmB2IPPlPaBnxXtVNrmvF/0ptJ2/lxs+WB7Cf6lpf3ny0QvKO3H Tkx7hO9yS/rWk4Vnp7Gto/f5obRfsBv6WXS9ynb8wOj98pX4L5VeM9iNV4re Udo+uLP03mMPYruupGtfwK6K9n/R4+1F1xD/WuRO9FzdpP43iK4q/tviHyT+ /vq9YxrzJ/o9VPwNo/cb8z+59Dwyn/jRP0X7UaeV3qtz01wRK2ia9jKyY2Ca k12C5/tjdEhlubOT7jEo2I5Cdg3NfP9/+Db6/ZdoV2RDaTnWT31fUpslfBjX lu7bTfTI0rbFUUkW/in+IGR0YfxzsiUz/W8/7IDM88YzhmQeA7bOkMJ7amvR 43TNvuK9mHv8XHuY7n9EaVtotOiGagcJX1/aXiKucaJoL7VThb8W3bi0T3E2 ez3Ydj1U+MzSNt9Zoh3URgmPER0cbJPQf1TpmAD87qV9opNEN9IcXqzxbat5 aJveGT3QurSM4/6rlV7rjLkPclm4I7JV172k91pZ9Cm1V4RXYR0U/l4bFJ4f xrB/zfY1Y2Y+Xxa9Rq2/2iuZ/cABar9l9s/xK5F5e2T+3t0Kr6tOhecKGYus PSn6nsxH78L3HlP4e3Et9jzj55t1ET1O7eDM62FBbvt5FWIw2E/p3Xh3xrpO aVsY/wubEr0GXqZnbVrYZ5+L7Vd3rOgl4XXFn8K6KzyvFwt/Kf6JGuc+2N2a 7yW5bdpWrPvMe7Ylaw15knkMdyd5Nabm74nvjd89UmO4SLQorZdZM/ikfPfv xB+e1hXP7S06lrln/bDuRUdk9jOxbfdLsnR6wtjET2S2bRbUHBPjWuIVrTPH EcazB0SvyhxrYL/g6xOfwA9hPkNpO394ei4xhn7pue1FR2Yea010r8x7g7WH 77NRaV+IfbRFYb/58LS//qxbV+NX9U3/61N4/x2S+rBOuCe+HvvxsLQnu6c9 PijJeN6Rb0Z8jPEQY2Ff7pP2Nd+XuSJGN7gwH7/sSbWX9f+mdb8De4q55jk8 j3e4I9mEGPsHl567nsh7/X5c7Er0XvQic4XdpPYw31T0PnQn9hX7SW02cyP6 Kr6k1s1NouPTs4hxPIoPJf69oteW/m6rixZab0H8D1nLpW289qW/79TMum0a z8MGU79t9L8WusdWWp9P8zzxm6Hr1F4Tbo4OV3tduAX7Xu1N1pHoi2ozhVfF Pi1tB74r+nLdMnY10X763Zw9rPvfrN/TsGn03OnCj6HeRW9Uu014We443h3C f/DOwrdjBwkfmVm+8y0P1f1uFR5VeJ2z3lonmf15ktsfJNsMG+1TjeELxik6 R78/xh4TfUftE+FOojPU3hPuwPwHx6yIXb2r3/OE16973ockOf9+3TGuDZkb 3fdr8V8VfU+/52MHYgdlttPY4+j9G0SvKy3/1ssc85qpfu+r/5p167Zdkq4h 3sf+Ihb4SelY6aLSehgZgixpn/YT6/AN8d9lz9Utn/CPJ9QsO5GBrO3Z+t9H omvznet+x9X5nmofCK8ligM7JfN8zdLvD0U71n0ta6BlWg+s5wa8o9oTwg1F D9F8HZPZr59Q2u6+VfRc/R6TOW6OfYadhj2GrQU+WfT0zH3g91e/YzP78qdj V4j2qyyDj0syGd2HTJpWOp5PjGug6CmZbUTswwGF5dzJhX0SbMjjtT/GCZ8i /k/oXP3v6Mx5AWw+9scpaVynp/Ggq8clmcZzTkvflPwB8YyuoqeW9v/ICQwu vVbQ48PTtfQ7ObO+Jj4zLP1ukdbISemerK/xSZ68mtn+1t9/8nhsWuf/s8ux yYn9EFccV7OdgCzE9pmW2bdBXx6GTBR9PDeP2Cg+D/r53CQ/+R99ttS7zEl8 dPfuhdf7saLnl451nyd6DjpRvB6V7VXW134hNeHjy2TDZvYviC8TvyB2cUCw DOa7n1P3d/wQXyXFcIjl4K8Rw5xU2m/BfyHO1ju9L98Xm/lIXXu07vdaun+T mmNgk9LcYitjM6M3sfm5z0Wi2+W2h5tnfjZjGJhiaZPT/a/Q7ysz6+8sxeWI z/VMsh27i7jpKak/MoncFut+vN7raNG32E/qN5GtJRpz5z+QBUdFx6Kej7ZP iZfyDYjzEgcmRsY+IC4MD/mNHEfW4//S59dgnQaftXtr2nfwZxeOjZ9Y+L2f THPI/r4x7fET6s4pvZw7vkKchd/Y99j56JT1UvwFXYJfeafw6Jp9SHzJerrn TWn8T+SO3RJ3+DuzjfeZfn9R+hlDg58/JfUfkPr8lwvILB+RjX8lPKfmfTQ2 7cGTo9+pp9beaYVjnOTcxiQ78MjCPjTxefxo7D7i9fBu1hgezWzzH61+g/X/ F7HZC/v0TxaOD3Mt98HWweYhp4JN/r/czjVqV2fOs6yYYoY7FM7B0X+/wjFG bHhsQmTSM2n9sk4fTGuVb3hf+tbTkkxjTyAnns28lvFpyDug+/DdkOvLkGGF 9/0c0dVz558Y3zV124w/5t637F/sJWw9bL7/5GDhex4nehi+P2u2sF+Kf1ov nZMFYx9i2/PdiWmPT/2Ry3czHmKflb/hK+lbTxf/jczxDb7hy+k78u7s1SVJ hiHjiC/QnxjWvaVzNFy7dc35FGIifCf8aL4nMRV4MxKfvlzTOfFmpe8+M/G5 D/7T7NR/VsKshwsKx5dm5ZZ5yD7syrMLxyXw3fDrkYX7B9sg76RvQnyOPuQh iG+RsybG9Whp23Zf9R8RvJ+QOfyGj/wkJ8BzyQuQuyaPSG6LWPnwJHfxBT/I vM/wMZCZyNzvMudyiMkfG+wrICcbFF5HxNeJPZA3Qm48hW+gPkcFN/CTpfOx 5I3IGRGvYE+PCW7gS0rn7HmnhYXjCMQTfhNvYmHZe3/huMUXmX2mF0qvSfog l+lzqvbrG4V9/PMK5yK4D34+spzcGNdcWvhZ5F8uF17E/9Hh0bRP5ZwLthay dZfcfZDhxwXzXittj5HLA5NvJec1k/XI+6CbgnMj9EF2XJnmlHz9H4Xzs8SU yL+AuYa99WLmWBs5Ee5JXp881fJJ3pFzIF+Gn7ZVwuxH/EBsNGQCOWV8vWsK /39p6o8swQ/EB5zDOs+cO149Omf9TuncKz4ysVf8ZfpcVzPlN74zeVpy1uz/ ZYlPH+7Lc/HfyfXjI6CT8C3yFLtmnyJzsU2r6Hd7r/S+Ro6Tr20QnZ/bhnWE zcRa0vXLRd9nV/EPr3s+0AMn1p2zezW3PGJcvHuj6Jj5B7r/jYV1CzHpI6Nz Ss+J3qzfF2BDFv5mfAe+I/OxLL3XR6VlEfLq49J1BCuK3odvI/6XhfUtepd+ d/ANas4J3Z4wvP3r7s91jXif3HlfdFbj3D7UwtJ8/IiNctdskEvDD1sht03J Wmic1sOCwr+ZH74p62NW6ZqHBrnjBcStm+eWHyvnrsHguywoPbZG7Lm67f/7 CutNcqvobuwqYrzYJV+Vnqus9D6Dzx5GZjdLceAHCz+LPcv/m6U+n9adyyOn N65ueTI7xYmJF7OHievwG4y9QS4EO6RV7pgF15yvb3ZQihlSoxJ1v6Wiv4ve VbMfeEJwzHYN8ZtH13X8Kd4vhfcT9TKsi35pTb5UWPa+Uji/TF7++cK1ANT9 IDOxZeEvS/3oj15Dz5PL5/8vJl3PtS2IV+Z+7j6i+/L91OcA0UP5XjXHn7fJ XdvzIHEu7B3RVtH9VhVtE/0uvNOy9I6862H6/wjmpeb871655T25DJ7VNDr/ ytr5GRkZrAfg7xOsT5pEx8a5FpwH3w9fHVsMm4z49fq5ayOYh3VL5xTILXyr tmbufMSTybZ5HHuwcO3EU6IPZa4LQW+uXzovQ37micK1IvTvkuQge+/9wrIK fV9P42Fc1J/0zG0rUWfRJfX/sPAaJzY2o7DtSR3WN6XHsyjVg7XJnadhvNR2 UNfxWuE5+7zw+/Ge6K1O6X3B6BT45MrJ45LPPVz0ucI6n3ekbqFtbt8Z3bFq bn/imdTnuWQXYetg59yfMPYce7Rt2qd/lf6+yBZyXcQ6/tW1SwrHycl7T8is s7GHyZ8Rb+oi/o7EwpF7uXOp5BynCO8k3Fn4WuFt686ZXo6er7ueYXrufAk5 i1dKy96huWXyYuzL3DVj9KP/FOGdc+tFdCIyaVCSS8jn3ZK87a37ry7eBblz oH2F7xYeE13XsZK+y67i9xC+OXes4DneHV+l7v3RiPgQv+lfdw66nfDE3Plf 8q23CO/N/5BDudceNt4ZonuJ3xvZK/680rL2H9F9xO8jfJf4ZbRM7qHxrB2d e+pAbjP3u6B7yHVer/t9K/ptYbk8q3AcbEBunwtdh84rktxF/qIneiXM96XG Ab2ODFop9UcOn1b33nwz7emRaV8zr7unuUVHwycf+ndhmfBXYVk4Kncd4ZDc 3473+SHZENhvo6NzsN9E6zR0PHqcGiswun5hsouwj0bXndt9ivfPPRfMA34n 74sc/0r9ts+t+9qk2BcxMGqdqMPD3qO+EN+COiJqTJB11JlgT22X1s8XheVi Rd/y/+vLPimse+cX3p/sU4od1tV36ijYWe9ye3SOnxxQh+C1wdpfQ7it8Pri tw9ehxsIXxed+18v5Y66i3+TxrFe8L5gTTUNzkGvy7qo+1mTkB2pBpU1uIla C76b+JdG11vAY20vFp1M3U5wn07Cdws/JLy78A3BscehrKngWOWQ6NgWMa7f Cq971j850FuC5cCurM3gmpCthG8NrqMbxjwEx4TJi94VHO/dg7x5cAx2N+F7 gmPCewrfFxwX3Vv43uCY8F7C04NjbsTeyMUT+yEHS80bMWpi1ehh9DExNnwr 8rh8GmQesg/7uLfu00u0e7QdDR+53Ct4P/aIjk1gM2FzIJuR0awr8hI8g5jY mqkPNhX1AcQvhrIe6paj1NqwJrmWeAS1CKzbXrr/FsEyYRPhLsGycSPhPYNr t7YQPoxcs/CW6EDhPRm78E7B9WM9yf8E149tLtwnWG5sig0ifJBwX+EdyZex v4U3Et5AuEt0zSi1GX2EuwbL4a7CGwfLZ+Rix9L1ANQFkBedIdxadPvCcRni lM8Gx0Vnp3hvj9zxvDnJN3+rsK8+AdtAfT/ObfM0LZyD3SS3L/Jz6b5byMdZ R+M4Ism6S4JrnHaIrk+lTnWa+l0WXBO1Y3SMHTlBXcak4Boq4uiXCl8pPED8 ycG1lOQolpaOi5LP6pz0NTJgftrXcwvn+8iN4Tecoeu3zC2fh9ctq6mLbJib z15dnGTvt8l/6pzkye+l8z/UOb6Z5Aly5d1kS2BTEDPeOMmln1Js9heNbflo mQUmv4BvQ16bnAV+TEfhK4Pj4TsLPxWcizxQ+OngXMZI4SeDczcjsOWCbbl9 hR8OzukPF34ouIZhP/LmwTmOQ4WfD/7uBws/E5wTGSX8QnDu4xDhd6P1Innz 96Pr5MiJkxufi7wSfSS4FmJ/8Z8Izp8eIPxosG5Fx44TPlF4m+i6c/TG1tF1 aLdonl6NroujzpbaWGrb2KPkB86Nrrl7QvTk4Hq2fsLnBtd+U1s3NTifMlj8 KcE5l0HIXuFbhXcRPkf4HOHthM8OrgPcPjqHju+DD9S+cn6llfDLwbmqw7GF o+PexL+npfdC7uET4hvW9f+bgmXpKtinSaej2+9P+wj59kBwnWEL9bkj2MZo Jnyn8AvCzYUHVPYNvhNuE1yr9pHoasE1ZnN5fnC+g73ZTnh94XnonOA6qE9E z44+H/CjaNvgWrKPRddMcgCdtW1l/3Bj9Vkpus5/dPDaxm74o3T9InWMFPGN Da5d/zs4J4ScHafrDg2u5/9JdHz6Lv/CC657/4u9G1xvthJxXMYn/E9wrp01 01pj3aWyv9FS95wdXePeVP0fC87psJauFX6wZv41wTVpKws/Hlyr2bL0O/Au S9E/us+ZdY/tKeHz637uzOia/hXUf0Z03X8T4Weizzzwvq9HnwFYnhhL9JmB xuz36Dp73mVWdF0+Y3gt+mzAcsKtgusAP2SPRtf9N0DeCl9Wd51/p2B7Ehtg ueD6wDfR4cF1g++z76PPMzRU/2eFL6rbF344+tzCEvZ39JkK5nx6dL3gtzw/ uCZwPrZGcK3XZ6yp4Jq0z9HJ7Ie6/bVHhc+qe946Btd6fSr6UPQ5gR+Z++ha vR+Y++have/R+dH1hd/wnaNr+74TflL4vLrXzL3R9YtfC98VXbe3QPie6FrG xcJ3R9cyLhQeWNln6Mb+jT4L8jtyKPpsA3ttbrQfgt31cbTvgd31RXRNNnr/ 8+iabGyDz6JtcXTiR9H+CfbSe9F2P+vnnej8H/v0g2i/AttsWVpL6O5fo2uv 0cWfRvsD6Ppfoutu0b8Lo+u20dFfRteLYxv8rPZn4Xrv39KcY1/Nj/Yf0OPz on0VbM5WlXOZyPx2lXO0yKXVK+dlqflpWzmni2xfrXIOGBnesnIuFt3RonI+ GH3RtHLOG72wcuWcN7rj7ejaUOTSH9Fx5KeJ1UTXsmOH/JW+KTK8eeUcLTJ/ lco5cvROs8r5fvTCkui482PELKNrvrGFFkXXwWPnUItMTTLr/Lyk65HtFwWf c2HfddQ9P6q7Jo1zWjfVvDe7VbZdyIFeLP4tNe/lq4JtVGyDy4NtYOyHOdH1 rMjbM4LPAUX0sO5zbt32zJnB54Aq8a8Itk+QFRuoz6V114ScJf4VNe9rzrqQ n6b2jFp07IEfRdeuXHt6DP6p8IWF48Z9K8dnkZ/bV45NnC68ZeU677+xhaNr srEPF0efDcA+/C66Bheb88Xoc0SMf5/S51Wo9aJuklgtZx8ej649HV+6xpRc DedK+pbOtVOvRc0l9h3nJnaq7GudGX0mh/gH5yZ+K33GBr3QpnLNAfbDS9Fn nJirO6Lrob8Mrn0l9oJfTF3TaGIZum6z4Ppe5MDmwXW/yI0DCufRRohuGlwb jEzgrAK5Amo4OS+HH0CNJecayE28XPhsBjmSZwvXrJMDPka0p64fULM8pG6N 3AY1yEdH1zdS58i5O2In1FUSFyA+cGfhulZqValNpYbhq5rPNLAGv6z5HMYH hf3tjwqfIcF/ID+GHYM9818tVun8HrUPyH7qh7CTOQPI+bs9C/uE2JvUaWOX fibeWpV9IXwizitxPffhTB9rkFoIzt5dVzh2PbVwTS+xsscK2/nU8HaoXINK jhpfkTqwz2u2c64qHHeeV7hWiXfkXTn7QN6SWhFyqVPTdyG3S/yA3C+5wv35 Vrr/yML+1fTkK5Ezpp6F+gHqEKiHpD4Bm5h1SI3Z0BRHYs9RN8D5IWqiqDOk 3pB6Pur62DvUEVIbRo0YNXPUf+xWuD6MWhFqODl3Nk68zpXrtPcS3rByvAY9 +3XhfCjxQdYiuWzqaKmr5XwiMQLyM5wZIb9MnpnaSnxAnnt06ZwrNXdg6rm6 Vj7zSD79v7x66fw7uU5qCfi+nLOkxoDxdq/8P/pw5olaDnKo5FjJVz6QYn3U h5CD5wwT9QOck+J9yJ9RN0tdM/UP1D3gn3bWOHvWrE85v0cMldoqbFdqNtfX c2+MPu+BfXhz9LkIbIMros8evI3Miz6b8RZyMfo8xmxkbfT5KOzMW6LPMGAb XB99XgK79NboMw/YGFdHn9l4T7hZ8PmLd4PjzMSR1xK9Mvr8wBzxb4g+c4WN elv0+Qrsk6nRZzOwga+KPvvBfW4OjmlznybB5zUY58XRZ05mCl8UfRZlhvDE 6PMqrwtfGH2O5Q3hadFnQr4QviT6DAk22GXR51VmCV8QfQbmNeFGwedKuH/j 4DMj9GkQfE6EezYPPt/Bu8fgsypc2zD4rArjWT44VkMMpwo+28LYrok+c4Lt t0pwfIn4z7XRZ10+4LmFc93UiXHOAhmFrKJuHN+U/ARniqk7okZp9+C4AfYb Zw+ISVNfx5kocpucs9sg+GwIcptzttQBsre7BcdRiRt0D649wzbbQ+3gmu1P ziORA3qvsLxAbnBGkrNm5GXIz3AWEhu/U+XzWuRKFxU+x7Gg5lo/ZDLnQr6O Pj9M/ICzhCsEn8VjTa4YfF6JtfphdLyM2BqxXWK8rKUp0ed/sL1bBp/TYd7u jD5X81XwuTJqYk5FRgSfr4HPOSn23W2i2wefjcWOXT/43A3r5P3SOURyif2D zw5jAw9gXmq2jTnz8o3usUB0xcp1h8S+Jgafz8VHaFC5hpK4HHkBcgCvF853 c+bx/ML5BXIPMwvXxFMbj284v3ScAt8tVK65xM9dUjq2QIyBehLiIcRF4BM/ 3qFyPpFYyzaVc+jky7Hxqsr1i8QGOQ8+ouY8P2dPGEsv6uJz+32Mh/w1+TFy 9eRGqbFDB1EbTEyO3DV5UvJexLLJh5KXpfaT+HD/5DtjE3Hek3Of5Nr+4dtU zrP0TrqVWDE5ANYMMVtqm7GRysq1p/j7xF7I2bAOiUdhq/xaOKdFbgu/ktzW gcKriTasfMaDOCf+BfFwclb4zuSqyFnhG3EOnfPonEOgtpna8li5tpWYA/Ea 4jbU7TepXDtOzJPYxRk15wPJzTGWnSufGeFdeCfi8Jzl50x/lmRaEZx/OTj3 XBA3gzekst9A7J04PL4guVrO2ZNTJg9APIVYOjF01t/ylevaiQMvV/nsCrHZ RpXPfhDLJUbHmVnOzlJHhN20eeU4BrmgwZVrP6jnwIanpoQaD9Yqh/44x0gs 5d/os4vEWKif4bwt526pfSE/Qp6EGDsxOOwN8r/khrEZyIkMFo7RObsOKa/S uHKNMrFlcujkgskJ55XraIkfknfj7Bn2M7VDz6V9Ta4Qe7C/+maV63GJGbau XANKvIu431a57S3OJJya7Dfqr17IbE/8HR03IO5ETpm8OHXK/0SfKSWutUKq Myam/Wd0vQVrjPMt6Gv0dj3VChPbjOl98W2pOcB+w94uKtcxE/cjZ83ZHs4V zUv7nX2P/CEntrX6/h/7lyoL "]], Polygon3DBox[CompressedData[" 1:eJwtmwf8V9Mbx+8899egsqJCRSTln4iKaGgIaUnZirKTLSt7U0bDzN6ZKSMh e4+QEZmlKJWMIv/Pu895vX7n9Xuec84933vvOec5n+fzPLfZsFEDTsiSJNm4 SBL9JUmZJM/r37GqTCXvq3KI9FPzJPm5SpKX1Wmg9HfSJJkteZLqrlTfTVV3 kuQ16jda8odqv0TtU9S2o/TlKovUNi0kycdqGyb9Scmvqn2O9P1UTld7HdXd oralqn9D4+UqfSQPVt1g3ctTav9IfQuVQZIX6jf6qb2h9PGSb+chpH+vf7dJ fkWlpfQZaj9Z8u4ao6/ajtZvfa+xa6v0kv6E+vwkuava+/H8av9R+hDpI6WP kf6r9P9pjE001qsqFyKrbriu/Uty/5ok+U73tA5jSV+stvO5B/V9UuU4yXVU t7/aZ6r8InmM+p+otjX6jZ0kpypXSf5e7S+q/RaV8ZK3ZI50L211H6Ok15fe Qn0z1R0vnUnMJR+scpzazlW/pbr2G/Wpo7Yeqvta8oFqP1byOWpfovYGlfu/ pz5/S66vezxS8uEqK3iXKp/q/vaQ/p3k3wu3Ha2yTHIHjbOzytnSz1F5SHW1 9X8nXXq3/n+g31yh67urTJa8QGUD1f+r9m8lf6lSSb9D7XdJnq3yg+SPmCu9 zxb6v4H0F1TGSD5LZRZrRWUvydeqdJb8vco4yf/pXmokP69yhvQPNd7v3L/K MZLvD76ecXbV+PX0/1fp3VRa8qwqyyRfq/v7RPIWeienSv5X8gD134r3pft9 hOfTu3w7+PqJau+q9g/UtkD6Jvo/Vvfyidqnqu99klup/QD1q6v2uSqXSf5a 5Q/Jt6nPvMJjMjZzOUj9Xw8ej3G71Hidsd7Yo7U15l3Sc+lHSn9d/9sUXkvP 8o4kP66yvuqvVt0Iya9q3K95Nl27eY3389aZ9wh75WKVPxPXsb9fUtlKcguV Waxl/f9EY/+nPqdpjEdV14C5l76O5PtUAvZAffpK7suaVNsp6rtQ725v6QdJ P1n6AulPqc/Gmd/Jk5LXrdx/tup+kzyt8LsMai8l16jMk9yLPS75Zb2f76Rf I3k3Pc9phZ+9ldpfl3yFxhih8d6U/rvk5ipHST5NdRtJXl/301Tybrqfufw2 607Xv6hyNutd7Werfa6ueUbtT6uukeSTEs/vZpX3C/tmteQd1b+L2g5R27fS 71K5Se2tVddUbROlXy69ifQG0h9mXXE9a0rypnqePSX/yLvT86yv/4vUd5ju pwPzp/afJO+m8orkQzXeTN69fm999W8vfaCuX6S++0p/UX2+Ud8GKs+xtwqP j014jDUl/Ri1PaNyquSDdP0MjVdpvPqsV56ZY0H6utKHMieYBenrSD9Q+nTp QXo96YdJf0H6utI3kH6w9Gek10hvIP0I6a9J31D6xtKf0zuYI/0t6a2lf1T6 3Vyqe5ugvhN0T7/o3rqqHCr5B/U7QnIPlW2k/6Nn6qy+cyXvo+t/1PW76Pr7 sUW6fpH0PTlrpD8q/fl4lvSJNnqY6l6UXl/jbqTrv1T9hYl/o2Ph9/el5FGq myV558Jz0VjlC/UdoevfUFtDXd9I1x8ufZb0etI3lD5c+qvSN5DeUPoVuv4E 6W107duSV6n++NRz0BXbq/6vszZVv0mN1zhrfQeV9ySfwz2o72ucq2o/Vv3f U//N4n7upj7HYltUnsVOq/0dtTdR+6ZqP076+9I3l95U+vHSP2BtSm9WYxuP rW+t8ib7X7/3beozvZPkNzhLwAYqZ+qaxXq/fdT2FOtJY/0svXc8T6dWts/s T2w4tvwY1b2r9k3ZO9hT1fVW34VqvyHa75Mld1JpLv0tjbc+9gIbxtoK3v/Y gVXS31b7BuATtV/Ds0rfUPrp0q+VPlLlTc5OjdtYv/eh2htLv1jtN6rtS/a7 5K4q30hemvvs6iZ9vvR31X8j6WdKH8e7kt5I+oXSb+BdSt9E+vnSr688BmN1 yWzP66pdP7v2jLyOuZLeUPpZah/PvUlfT/po6VdJ/0F6J84L6Q9K/0n6rtIf kP6w9O+ld5R+r/QHKj8zz847qil9j9wr76B26XfGu+M3qtL3zL1zz+uWfke8 K95hrdLPwLNsjE2RPq+07ZqsujvVdhFzovffXnVL9ExTg7EQmOigYDxwnvqe m/l5eUaelXdYR2N1VtlH8lHq953avpbeJrGNxFYyJ8wN77ie2n7R7w3NbCN/ Zu+Vxo6vSt6L/Sq9lfSJap+iayuVQZJ7YpMq20Hs4c7S79H/3fW7V2e2+dj+ HVR2l3yw6udXngPmogE2T23PBOMfcNAytU3mnau9GTZM7Xdkfhe/q/yqMb5S 3baSJ4FpKtswbBlrrr7abpY+TvoW2Azpl2vczzX+uio9Jd/EnlF7c2yA2udz j5JvV909avtC+jbSJ0i/vTKOBE8OVhmVGwODhXfKjKFOVHla+nSVkyS/puu/ 0fWfxv1/o+p+Tn3msf92ir8HVt9S7RfqN5px9nFu1BhvdFDfbVX3BhhK5Sjp 26s8qrpO0kewd1V+ZJ2BrxLX7SI5K2z7OkpvJnkscwTey4yfttHvb6X+g/T7 96vtV73/bdT2Wpzv54PtJ3a0M/aq9PtnHu5T/8+4J8m7ZMZvT6j/u+A/9dlD fT+P41+n9lvV/9PSc8E75913weeRfox+/wfpn5SeC+acuW8U928Ptd/G75XG 5swpc7u99N2kH6T2b6TPld4iMYYHy3+se9pZ8ku6p3MK3xP3Brbqo+dZIL2b 9KngAfqX9q3ADGCHdoXPwg7S50j+trR/hZ91L/ZHejvpt0m/u7I/9B/+leqO 1z09K7056w8MKXmJyoGSj1f7ebkxCr+3d+79uFm0l31yr+dNo/3bM/d+e0nl W7Cd6j7Xu34ZG4WvyD1I3zye53vlth+vckZgO1V3EbYPzCX90tz46hWVhdhS bKzan1B5TvJLap+jtgeok/6M9I+kPyj9SfCu9I+xXfrNUzhPwYHSm0T73Dv3 fpmtsgDbhI0P9rHwta6U/oP0yfh5zDXvvLTNUpdkp9y2rGE8b7rlnm/uaRPJ byW+V2yuhkna57bFT4EvNN5Q3iH3Es+TPXKvvxd4f2q/nPfP2ozrsX/u/f48 NlLtF6tujNpmSf9O+hWcOdJbxvU1MPf63zquxwG510OLuH775V4PM1kjuv4S 1Z1d+szQq0p2yH2W7B+8v3upcnllTDwq2kPs5Yaq3xJbpfKT6rdV/5Vq21b1 LbR+n1Gfl6W/qfE+1bX3BGPL9mB0yUH9KmxRtHesAZ7txtxrgzm/SPoNudfC zdLvlv6I9A+kX1F6rm6S/jq2Vfok7L/0/8AWKqs5Oxmz9Bwyl5PyZO1BfHHp Z58g/bXK9839YyNHS35OdfMy38PllW0mtvNoMLfke3TdKs5e7lFjPcSaV1sj lSMlX6JyJv6lyq7B583oeP5yXtwX7MuCh4ZIvpMx1Pak+n0I1gbTqP9Rqhuq tmnS38rMQcBFTMdmgb3Yz6X3DL7JWYn30jsqf2R+Z9fi6+MDpt6P3+k3Ouo3 15feO+6PcwvbIs5vuI0Z2DRdP0b9jy29R7ZQ2/W59w4YglfZLje2ACPUkt4x N3b4R2OMzOxj4TM/rrppmTHiLqX5IXw5fNrrOFMiPh+t+icr9wG/j8x9LTaH s5QzHlsExgRrck0n6VN0fw+k9ln/J3lf9pXa20rfsjQGBYv2kt6htA+ALwBG 7YgtYQ9yhmIjpI/UPd2r8c4FHxW2GZy1LRPbEvYQtnX7xHuLe54lfUjiZ+F8 q53aZwDfYyPBJpzZ2M720T4fltu+c08dpB+R+16xkWAtMAS2838Rfx2YG/91 jPjvyNzP0jvi7RNzP0uniB9H5H5Xy/T/L+mrVFZI/kcl173tq3IUZ3HET0Nz 480+Ec+flNt2fQ5Ok75aZcfCPhW+Fb+xXWnMWNKWG0vCI8EnHZD5PLlDc/Ig vrvK7cEYqK7ad82NjV7Mjc3B6I+r7Y3cvgg+yYzSNqQZeyOxbcFnXkdy59zn IZwYWLd77vMVm8dZCIbBFmITwQackdhKMG9t1k5uLAzGrMPazI09j9YzTk1t o7BVYDCwddfc+IA9zF7ukhsPMCdgc9Ysc4XNBqsxx9jyI1hD2ErpwyV/oOta qnwu/cXSGB4szxpoLX3/3DgVvLqt9C/BIZL3wYYWXjNgg66J1xJzhq/AmmAu sRmcNWfntiXYDNbmWbltyaGsu8wcBVzFdhGvHpB7brnf2/RbR6jujGgjF+Er Jbad+wZjvS1V10byPiptU2OKVsHPwFofkvvZPlb9ErXXU7kgNyaA64OLAiuA GUqwS2EswRpgLcyKfMFjpf3rFyIfcX9pf3269LrS7yjNLzwuvUb6faX976el 15H+rsb9n8Y/JTHGfKuwbwuGfF//Hy3tb8+M/MV5wf7nGfH8u0n/t5a+SuUW yeODuYDtGFf9Hy7t3z8X+ZCppfmN53PzJTPgdDLjo/mqmx7Mn10a/YnbS/Mn j2IX1X+R2puq/2bq05m9o361pNeo3C95lvrPVf/3It/wMmuEZ5PeRPq/wf4s fm036V/o/27St0rNkYDjm8X9gL/CGmQtvh/9Y8AO/j1+/orK59OzYBu111L7 vaX5nWnSa0u/Xr93ncZeT2W45B0r87/wwL3U/lRp/mG2+q8nfUppfukx6ZX0 VaX5FniXttLnBPOhk3V9d+lLg7m8nVS3JJhv5PzinfJuL1fdFanPlP0kX8oZ nDpGMbA0xgXrTlPdCZJnFl67cJpwm+x3fK8m0qdLLgrHFhpm5iN/0njrSX4M nkL38wQ+VWLOEu4SfnKd1Jwg3CDtXAtncjXYWuXa1H32l3w1/H7qM2KY5Ma6 x601Xk9sQmWfCt9qgeruLMwXX5P6nrg39hh77bnoj02SPlFtG7Nng88ozqpe Gu8Ljfeb+q5W200qN4NZsUdq/zuuZ3TWNn1+i34W/hbvk/hNc84g7I+u/ZLz PeI1MBJYaaJ+c4L6dlGZIPn9YP78q7j+sGHYssG6/uvK/BvxkTXMR+4zmrO6 L76z2luV5l/2kz4PLKSyUv3vUt01pdczfN+t0j+X/Irq5kmek5tPurq073A7 mFzXHg6fqt8aic0KxkTYsjtyYyUw4s3S782NHa8q7RvcxplU+TfxVabkvpcZ ublCbBC26FmN+YXGvqowH8UaYi2drPbz1a9ZZTy0ujD/DKcgNdk+N9dwlPTT pV8ofaX0Qep3QeozerXqDtP4vVPv6d0lH63+Z6j/RWr7A/tU+t08LP196bfq /3L1ncKZGOzT1JN+bW5fBx8DbHd1bt9jEphK+gPSC/az9Pul3yU9q/E7/F3X 35n43eJzgDWvye2LjOeMZa1KT9W/Eesn9TtfpusO1e/3Ak9Fe0ZMj9ge7/yC yhgaLH03uKTGmH4JvnhirM8crJB+R+K5mVz6Xh5S//fw56R/Jf3j3PzmymDu Aw5kqOSBup/zJe8IJ1IYU4AtXs/N9z5dmj99NTdfTfwH7qCp+k+SfGtp/nuq 2ssan1OcVwUYG98ae5WYK9xK7dNK85uv5Objp5fmW1/LzQe/IP0z6e/m5ne/ CI6XEDfpIX0mmEft7+Tmx5+X/on0t3Pzx8SL4Ba3jjbyIl1/huSNVA6UvEql k9qbSP8r2MeE62iR2PdkjWS5fWjWzgaF8X1H9fkqM7++WG39U/PfjEcbNvpv ye8En+erCsc78MEb6JqXEvvmH6i+feaYHPE64husv3aZ+Tt8nFq5zxTOFuYw Besnnlt8vDy3T4/v91vwtcRgOnAe4nzkXrOsXXz+9XL7nHABrG986atUt0Zt TfWbh0k/JM4/MbWidHybWNsalUsT+8T4xh8Fn73YsI/hnmrM88P3Hw2fUfks 5Yxqiq9V2lfgTLpT7X9yD9I3BF9L341rOBuxd5IPU/vVqc+Aq6R3UWmG76hy ouSWkcMfpDEGYTuDY23E4InFdy7MufWQ3oOzo8a4Hny/vfp2U93fiTF/W+lf qe333Pi9nfTxuXk5+Lmu0gdorP6F7ekewZgGbIN/cAb+mOpOkzw4Pg8cL77i kNTx1LYxZsJ6OZv9HBwb6yf9RrCi2i8oHE8dEYxRGufGBGAX3hdjs2ZWqL19 jf0u3ukF0o9XydR+nMqpkgerXIivzu9JPitY5owdXjom0qMwv0CsBB8cX3z/ OH9XqFwp+TOVQzlr1D8tXHel2k6HX0w9R8zVGyp7SW6tsrfaDgiOFbPH2A+9 mLPUnAj2tl7luQLj1a+crwD3Qc7DtHg+EutdGdcX+AVsQw7E05I3qMzFcaZs yPlVOlY8ivkI5jzhPvEvz6n8DDwLHPWM4Jj5h2ofmziWfjp7KHWMmlj1uypL U9fR9pfKj6lj7rNjO1iZPf5e3O/YkqVRP7l0rB3Md11wfAgugxgPsVhisOCe b6N+kvrPTx2DJH62J3hO8rYqe3EeB/sacE7jJB9ZOvYDBj9X+nY15pngmw6R fnBw7A+bBTdBzJDYIWP2kd6mxnsee39q5fUxPHHMjPUCpiTXhRg7WJP9zlxw RnFWjdbvf506xjRT+g415n3gf07m3ZR+Vzwz8bAF+u0l+APSNy+ckwJWA7PB d8FXf5V6TMYGE4HNWQOshR2Cx26n0l/ypoXXWhuVzQrnlBDzhwO9q3R5WPKf sY2chDWF8zHIVdgwuG+tyCcNVPt/hXMQ7tG1G6v97cScJdzlhNL5NvgWPdX3 ydK5BS+r/ZPK9oIYNDYKW7VRsK3F5mP7WY9XFn5GnrWhyuzENhnbjA+ALwAG 3Lk0hgZL/yJ9C/XtJ/2PwmcM5xU5GeRmYEPP0vX1g/kxOD3w2YLCOT/MAXOx CXOYmCOAK+jA+o/468yIh+Asr4v44bfcnAg5PuT6kE/DHILJwGbrBZ+NacQX xNCJIeGfw9V0lD5M+kAwpfquH3xWZRF/7a329wufWZxdcPovFs6XgusnhgHG Jj+KWBYxa/wyzpQe7CWVpxKfgZyFnWrMG/zEM6ptF+mnSO+b2r9hvxPnAfP8 HpwjQq4INvi8ynPYKPecM7efSd8G30D6S6V9DuJ1xPvwRYjfkccDpwe3t31h 7oY9RH7WHNVtljjni9wvcqYWF44/kUsFZr8hs08Dlh9ASbyH2EvnVvafsBHY iv0K5wJx3h0XfcS6uXManornH/GYZzTmIl37J+c/ezVx/gnnXTfJcyU3r3EO 09LCMQVym/Bh8WVHqM8plX16fHvyg+C64QOwtbVSx7vxyfDNOBM4G/ZQubUw f9irNEYDq4G5LgzeMw8UXqPsJezL5MgZ9Izn799gY/Z3aT6CeBc5Su8Uvufl uc/sbhHv1E8d62ctkQPza2E+jdwY7MU/iXMGTgt+J3/kxgi8q39L89vEDIgd kGM2M/Kb50s+vTI24YzlrC2Cz2ZytMjVIgb3UeRLOC/eVFmcOgfjtNI5cw9l jpmSS0eM7OHIJxE7I2fukchPsb9YH09EvvUSyfODc0/IQSHXBT7qtsiXwWf1 C+aXiCnC5xIjfjBzTI3YMZi9fsSbYHkwMrkkazmc0hiZXIvXEmNn+MQGER/C H8JxwDcSr4H7AJPXi/4cWB1MSy4PZx5nHxidXIy1HJTa+wbzXcQUWwfbE/i4 bhFv4ZPB3x+d2FfDp4O/h8/H1/tT+juZc/COKe0Tkps0MrGvCCfyd2afCK6E HKmnM8fMyZ0ipwh+G/4Z/o4Y482ZfXRij/CH8NVwcGu5ON3TCslDdb+Ng2Pc t2T2uYl943MTD2+W2BfHx78qc3wc3x8+ndhn88R8Nz78jZk5Bnx7fCZyfdZy bqV9HnKR1nJEpTkjbPdDEe8Tcyb3BB+MWDQ+O7kg+GD48vhw5KrgQ+HbkdNC bgs+FLlr+JiLM8d88D3JWYEvhh9+vbTP+kvmmA++bJPCZwNnBPiN+B7xM2JI +Jf4CMRT8InxHf7FZmb2sc8pHVOan9mnINYE55hEfwX/n5gS8TviccSa4AfS 6F/hDzUP5nLgVL+XvBAbkXhOWgbH2Im1kx+7dTDnWRP9I7hQOE9yseA44ULh FMnFgjOEa4RzJBcLHxUuEg6TXCw4NrhN+HWwAJiA+CScIblKaznW0nz0JvF8 4Dz4R887JzMncVbp++Xe4AwXB9v/36QvU9kqGGODtcHkYPOg9qWJMRH5qQuD z/oWav8ZLAnHnDmHslFln//X6O/DBWCvq8J8MVzkXyrvZo4pnFCac1wj/dHE XCQ+Pr7+jan5J/yPG1LnNJyq9svg1TJzVHBVcGRwZTdE/wQ+d3xqjHpS9K9W 5o4pTYn4dFzqHI0jSvt7j4INVe4N5kyWR34Cf/SFyDHuwfsP9s/JfSUH+OFg vnN2ah8CX4J43GOpx8R/fCA495AY4sW0gddS2xy4dvDNIYU5P7g/7PckyQNS +1dwAHAB1JFv+0ZwbBIb/lbEB9cXzrcitxT8PzZxTiG5hUMinscnIL8QvEWc jnhdWfk8AFstiuOBYcAy5GSTz72zxh9cGC/gj90UzD3CYcFl4dNy1t+VOh7U NFi+VeWW4HfGu+OZHw/mXP7MzDHBxdAfLERMidgSeAxecy2/GYyXvs6d77Cf +m9R4xwUfDR8NeKv5E6SA0wuMHPIXJ6a2t/ER8ZXPhg8L3kAGD11Th352fjY +NoHgs+Dc+JnZMYo+OfkuE7PnGNO7iuYHmwPJ71jPK/BMuDPkyvzGSsivwb/ AX4hhoYPeFnlOWKu+sPNBsc0/svMfxDrIOZBPJp4N7EQYgh/ZebwiC0Qr14S +Ta4TjhKcufAGHCX5Kh/k9tGkbsOXphSOL+PXHViFCQIgI+IXYCZwE7jor/W Pji3nnfEuyK+Q6z5idT53HmwDMcF10W+wLS4nvtGPEtePmPcLX1o4TxUcgbI HYBTg1sjH++iyjkGxOz3VvuYyviIXGF87ksr57y/nDmHmFx4/IkzC8fcmW9y 3l/KnINMLjw5/cR/iZERK2O/kcv1Vlx/Zwb73nCyA4PzqYlfYdN+zP3+yCMl n3RU5fv9Vnr3zNzgwMpzwZnO2b5/ZdvFHDKXgyv7Ztg0bBs+2lrsm9t3I98c rmp4tJcDKu8F5pi5HlQZK7AGWAvk7JOfP0xlpeT9Kq8NzmDO4v7S7028p9hb cCJwI5fn5rq6VsYqYBiwTJfK2AQMA5YhpkB+IDk1xBp2KMwFnaeyHrwRfGti zquf5H6VuWhsJLZyYunnv1+/t22Nc+6xhdjE85DV/5jEGAmstJvKgYnnjLnb u3Du/zkqDSS3Ud3miTEL2IW8WHx9Yq7EL1tX9m24Z+5938r8NDw1v79dZawD BgILkcMG/mT+Ds+d73tBYv+X/Gvy28Yntifks5EvztlDDiu5rJ0rY23WFGvr +MLffhDT2wiuFX45tb9cS/KelbEFGAIs0Vv6ZYkxB9hjS/i+1GdUHcn7VMY2 nJmcnVeA/VKfyQt1v3upfWJijARW2rsyVgITgY3aVvbNwHBgue6VsShnLGct Pt3PucfjrMcnBwuzlvDVef/k9uOf8/1FGexbw9HA1ZD/AlfKGuD8gv8cJ3mc xmxX4/ORHFI4c+LH5KCQq8UZyFk4Kpib5Br4UmJMy+FwM8eeiHkRw2SPtor4 YvPMMdJ5kleWzpXeUWV5sA+FL0XdsuA62sgRGxscMyTWRcyL+CL+Orl4fO/w i/TtgmXWBL4JHClcKb8JnoE/ZV6ZX2K35ARenznHkFzBEByPIueM/BniH/cU jh/wrRN8NN968P3ONsx3ZZlvelpW5nTgdtjTZ6jfyNLfLhBTwl+A/yHPhnyb K6X3rJwbBKYF2+5e2dZhE7GN2BRsyzHSW1Tms0dkxmSNJe9ReXwwIFiwbvDZ xBlFLIaYPbF7vicZXTlmT0yEb5ZOrGwv4d4OT8xXksN5Z+YcTXI7yQkmN5gc SnKje1TGmmBusPc6wfEsYk7EntYNzmUiBvh23E9gyWsSf0/Vt7KvTZye72vw Aear7bPcvsGvpW07+5H8mF/gYBLnJJFf9Fxm7AEBRH5kTXB8kBxF8tGq4Pgf OYnkox2m35mc+puiHzJjDLA9HA3Yo5b6T0icM0HuBJgCbLFn9LfbFo4tMcbh kpfq+gMS5wiSb7N1YXwKvuN7BzhP4jHX5d5fcPPkHzyUOn+HfB7kOip5YUwI 9w4HBlZcUjofhBwlcpXIb8L/JyeM3LDahb8NYf+xD4kFEKuDD20luW7h+8cG bRn7s3ewYdiyFaXjgeSMkTu2vLQvxfojV43vcYYl5qv4Hql1Ye7moNT5LCRL 4ovhkxFPJF8ZvojznXy8ebljN/An8Cj/lfa1sJcvxPnAVgyM75N75t7JeSA+ zHvgfZDTQzz2pOC+5CQTD+5V+fziHMM+ke90QGo+ZnmMnfRPXEf+U+1gLAWm IlbZXO19UvPP8NBgcLA43wYS+yB/h2eFs/ord84zuc/EG+CYOMM4y+CT+sbz c0xqfwW/Bc6J71WIlcNFXVw5n5dvG/k+iDln7olZEC/epTJXAAYFi+5aGYuC UcGqfFMBv05ODPwT/Nulqf0d/B6+B2LvEnPhexTwOvxf98KxqU6cwYk5CbiJ O1SfZf4GjXyFPpXfLZh7i8j1kj/BN2jgpSOlT0mdY0c+YqPg/LLlkb9rVfnb RnJOyT3dXmW7xBwHXMeQytgXHxxffGrhb6f4Bo38GjAIWGRMxB/kg7D24MzA 3+SDw8WS8wl/wzdl2H9ySMjP+K00/gHvkC/FNzR8S8M7gp9cVprbAR+RX4WP Q+yJPA98n2OD1y7PBN/C/iE3hhhan7ief0wckyY2fVzw2v4hsT+xk8bsnJjz gvvqUJlrg2ODa8P/oO8XuWN/O1TmcuCE4IbaVeaC4HjgeuDce0oflpuLh8Pu JX14bm5758rcGpwe3F7HylweHB5cHvwv3+byjeq/uqZJ8Le1fMPJt5zEUIil cIYQD+WM4qzim7hNK8coe2DrM3/vCR+ybuYcEPwN7Ce+GnXwI4xPXzhCuMJP 6ZP5m46aynwrsQryob5S2+jg2Ck2ElvJ9yh868k3AKuD44f4ctgUuOg/g3Pn ydl9MF5PbAlMR/yVGCOxRuYI/69B8G+Rc8K3ZrxPYhl8U8L3Jfg3nEV8w8q3 rHzvSW4NGLN3sM+G78Y3yvjP2ARsA9/MPKK2eir3JM7ZJR+F5yU3hj1eq3I8 8rDEMa02kY/GFtDns+D8uYVgMfB15ZgE+T34xPjG4Cliz3xDSLx3rsqQzN+M 4N/BZ+9T+Bnwz8gHxn6NTfx9AvHdsYXxOdzFKcG+cLdoD3rG9cUccb/kQxML BjPzfskPI5YM50+8kJgFuVn4fPh+g6N9457qVo4hEEugDtsHBwQX1BP8Kjmt /K1rj6gTP2lYOCb2T8R/fIvKN0PrqH1NsO9IThrfP3M9Y2EDiTViQ7GlrGn4 aL6vwB/iDOYsJl+L3EvmgHg9HMIU9ldu+8Z5Qm4R75x3j4+Mr3xQ5vgvnD3c PfwV/ijxYdr45uIQ+MrgucMm3hpsP+Bq4Qi7w6eq/yGZ/XXyH4gPH5q57kT4 gtLvmhwF/Dd8evrSh/jx6tK+IHuyYWV7A3fBmUY8AkwPtqfPxpXXB75/FucD H7Z7xL/kfoKxwFqscdY6/jrfMROjPjzyrcQwwWBgMTAuWJczgFw6zljOWvxD fAOeHyxZxvVLPLdxEXMqS/v7owpzBnAH+Gz4bszBxMjv8Z0unBncGRwmXOaH uWNd5APgEx6hutOquIcKn5fsrQtK55aQo0KuFDYcW855cFlwDGhI4TVAbIj4 5U+5Y6Y8zwmVuZwV0R6Tf0QuHN/4/BHM7y7OHR9Y+22V9N0Ln6/YI/ItDirs 38FF/h85LR/u "]], Polygon3DBox[CompressedData[" 1:eJwt13mgjmUax/G3s70nkggnRAshWSqlLFFT9qWm1CTLRLSQpSyFsnMYQmQZ 2YpQljQtspdomZQkoSw1rXIiZZiaaD7XPOeP3zn37/tc1/U87/Pe93Xf70Vd +9zaOyOVSm2jbNrrz02ZqdQQMI8vFzAnlZqE7cEeY0dis7ELz0ilLs9KpbrS 03xPvAfdmE6lxop/3f97+QGRw6fF9ce6iy0ndxg/nB7Deol7kP5kPEbsav9v oNHGu9z3ETXud/0IPYS9grXEWvLl1NuDFdAv2KX8PVTSPYqq35EeVetq7LTr NeM5aBH/q/zx8j7hr1XzJJZHa7HMuI/4ZWL+QvcaD8IWiB2hXra4qfylfBP3 6sSfSTOwg2rlix8rLxebjh3AxmJjsNM0ATulzuPGQ8PTRNcXqfccjXStJHY2 9r3YQ/Qwdgr7m/HvxkOMH6NfspN3/h+st3EfKu6+z2A/uO8MNaZELWxB1MKm Y5OxWtjJeC73fIMK+Abq9Be3WVxH11qLK4OvwTLoZewFLAebxpeSNxobhWXK zZD3DHbQtT78z9nJ93oyncyRmCtF5M7GvspIPnd8/mLYfOx77ClsEnYWNg/7 DpuGPYFViznDn6I/3OeS+H7pHnEvYe0ozTekAdhbfCe5bePdqfdX4xry7qQJ fG46yYncudhu7AyaLHcFfw7+DX9cfj72E9YZO1defeqHvcl3ULeNmD/oCWw3 NgQbEd+5/CbGXfAv433J+2928t72iTuBnYcdwrqJWYzVc61ePHPEuv57VrKe Yl01j3lp3EfsYXysmOE007h4VrLG3nXPi7G71TqGnY7Py5fGX445hC9XY6Fa 52FvYkVoPfYyVkD38c+La4g15MuKew8rGe8VW4sdjvXBLxXXAGvAf0d3Y/Ox Olhd/gfqji3B6mP1+caeZyj2AdYT64D9SH1jnmEtsBZ8o1gr2DasB9YR+4bu wv6O1cBqx3zhi2YmDa0H/kq8b+Nb/X+Sv8SlavwX9GdsClYZqxq9K2Tc23vq Q4Pd8yvsTnEzxVWP/sF/Te2xWdhlWC3+OrGDsfcykl4RPaMpNhH7AhuHDcf+ RbdhU7Eq0a/4g3QLNhmrhFXhP6cW2BisPFaRH0yDokenkx6w3v9v+Q7Gs8XV FHc5v853VML3f2Z83/S4uP14K3HjxVUQd2Fh74ge0iSd9KMN8V3QJDlT6Cs1 +rl+PTYq+qTcgXLvw/ZRSywfOx+7gD9ArbEJWEXsIr663EbYROwCrFR8v55v q/rvUHX8KH8Uf1jcq3wrca34y+Q2wYZiw2gvX5ZOyvuVusW9+aqF/SAj5jHe VL3O2Ftyy1O52EfiM9A619dmJd/zYXH7o2/LfQH7VlwlvqW4OcbHYv55B12w rtg72AW0Xe5q97oZW8qfFrcSax69BduCnZ+Z7KuviCufTp41njkv9gtxxbD2 WAG/nY5hJ+gabCe/g47zt4h7Xq0/8BfVmxnrHnsNO5s2Youx2tHD+GnRO2k/ fx9tx6rG/i1uU6xT7EO+SvQnbCN2O/YPPpfWYM9gd2Cv8sViXmDPxZyP98ef S1uwFdj92Md89dgLoya/0XNPjM/lOXqL28BXxH/DdmYkPaxC9Gt6P955zC1s nXoPYDv5y+hzbHOsP2w1X5w2YUuwNtgi/lf1lmLTYu5hC2MfxJZgT0Z/wNbH HkVbseXRF7BP+Bq0D3sL2xNrnx8ktwxWlv+YGmJjsWJYCX53nFOwR7DS2Hmx duOcZJ6cxE9QP/U/xW4wHiCulMt5/K5YS3E99g6sDL8zegc2LiPZ62PP30EN sNHYWdg5fC81d2O143yBvY0N9F57ue9vWGPvth//YNybrxVnDnFbxX1E9fmR 6hXFivPvUx2sf0Zy9jvTn/foCqwvFi00zXeM75MpQ+9gL0Zfx7byFaJvY69G D8I28KXpbWxlnEs8z9VqfeTZBtEQMa3o2TgL4IvFTY0+jK3EsmL9Y/OwTtgm Po/exVZhH1JdfrDcXOws/p90JfYw5hapXL6L3LexivQh9hq2ja7iB2b8/0ib KsJ/QFdjj8Z5ASvKb6d62HCsCHY2f0rCPsVnZSXn3sZ8OwkviUvT6+IWRF/H VvE5tBqbj9XC2vJz1KuNXZydnM/inFbCtU54ydjf1WxovDvOfrSCr4m3kfs0 XktupcL1tqOwp0VvOz836XWbC/e92P9K5ibnlTi3rFTry/hOxdyGjfT87bCb 4iyB9c1OzjJxpjlK47CrqKucVTFf6GCcp2kZdpxf6Flmx1wR1xF7AbsOuxL7 LM4m2CisXKzzqB/zgz+i/o+ULy+PumDH+Z9pfJxd6bNYv5nJeop1dY77LuaP ip0DzyjcF5pmJn0u+t08vnI62e/PcD2LLuWPxnqUc8T/Z+O5o4Z6c9VeZ3wA v4j/PTs5I5VJJ/tr7LM/xd4Y/QZvr0b72I9zkr4X/a+8Z27JXy7nDn6RuLqu VS/sxbdnJveL+y7lj8V+i73B3yXuLn5unMc9S/fYa117KPo69gm2Vdwd8X3w V8Y8cX0Z1kjuFfEs2CysAJuF5cd7j/MfdhibiY3DSslfEe8Bew6bg63B8tXe kpGchV/nu8v9QNwl9Gn07JifOcn5MM6Jz4vfx3cTt01M5dhTXVsvrgbWjJ8u ripWHhuDfSPn69iPsabYI1iLeG800GdsEL8bsV1ya9J+cVvEdaO9ro+PvTJi xYwQ29y4WJxn4izFV8tJfvPFb7/Dsc/xdcR2Nl7uWRq7Vketc+NzYP/GFmFP Y23FLclMfkPE2SHOENfGHIr1zLcV1zj6DXY/9hrWGmuEXYM9EGsca4Ndh92K vYhlRyw2FxtAh3yO6Z55Gg0TszzmEDaCb0Oj+GHULM5D6nWXO5SvJ7Zn7MfY zdj1ajXDpmBfx7pRY4e4/nSj3FOxxrHB/ECxBcYz4ndK9F55afypeMdyx6g3 Wsz/AJntAIs= "]]}, Annotation[#, "Charting`Private`Tag$40354#1"]& ]]}, {}, {}, {}, {}}, {{ GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0jkvBlEUBuBr35dCTez7R9T4AT4aJSodsUVEEETEFpUoaERHJKKj0RJL a9+XXyB6Es9EMu88585N5sw9meLe4c6hhBDColwoonrP7YupKSHks4BFLGWM TWxhK9vZwW72sJ8DHJRJ9RxXuMJNrnOX2zziAU8ZTw2hVt8fubY+Y5uUJIVw E/XmLct4x3Les4IPrOQjq/jEatbIs7qWL6zjK+v5xhjf2cAPFibb0/NXPq3P GZcL33hlfcwT7vOQW9zhGje4xGXOckYm1H3sYxe7onMyzmY2s5H1LGZhdB5z +Oalvnk8ZIOsJoaQG82ROVEvZnOBWZxnZjRvZnCG05KunmIaJ+j1YZzahTE6 chilEYQRukKRh7GE///hD5k0O44= "], VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{1286, 1573, 816, 1285, 1932, 1481, 1287, 1933, 1482, 1288, 1934, 1483, 1289, 1935, 1484, 1290, 1936, 1485, 1291, 1937, 1486, 1292, 1938, 824, 1293, 1939, 1487, 1294, 1940, 1488, 1295, 1941, 1489, 1296, 1942, 1490, 1297, 1943, 1491, 1298, 1906, 1944, 1492, 1574}, VertexColors -> None], Line3DBox[{1300, 1834, 2008, 1299, 831, 1301, 1945, 1493, 1302, 1946, 1494, 1303, 1947, 1495, 1304, 1948, 1496, 1305, 1949, 1497, 1306, 1950, 1835, 2009, 1307, 1836, 2010, 1308, 1951, 1498, 1309, 1952, 1499, 1310, 1953, 1500, 1311, 1954, 1501, 1312, 1955, 1502, 1313}, VertexColors -> None], Line3DBox[{1315, 1837, 2011, 1314, 1838, 2012, 1316, 847, 1317, 1956, 1503, 1318, 1957, 1504, 1319, 1958, 1505, 1320, 1959, 1506, 1321, 1960, 1839, 2013, 1322, 1840, 2014, 1323, 855, 1324, 1961, 1507, 1325, 1962, 1508, 1326, 1963, 1509, 1327, 1964, 1510, 1328}, VertexColors -> None], Line3DBox[{1330, 1841, 2015, 1329, 1842, 2016, 1331, 1843, 2017, 1332, 863, 1333, 1965, 1511, 1334, 2084, 1575, 1576, 1512, 1771, 1923, 2121, 1578, 1613, 1712, 1713, 1711, 1214, 1581, 1615, 1791, 2086, 1924, 1790, 1758, 1759, 1844, 2119, 1335, 1798, 1799, 1845, 2127, 1336, 1966, 1513, 1337, 1967, 1514, 1338, 1968, 1515, 1339, 1969, 1516, 1340}, VertexColors -> None], Line3DBox[{1342, 1846, 2018, 1341, 1847, 2019, 1343, 1848, 2020, 1344, 1849, 2021, 1345, 1008, 1584, 1346, 2082, 1562, 1577, 1563, 1643, 1347, 1914, 2085, 1579, 1614, 1580, 1714, 1348, 2122, 1772, 1582, 1616, 1583, 1696, 1085, 1349, 1761, 1767, 1564, 1760, 1565, 2126, 1925, 1350, 1801, 1750, 1800, 1751, 2116, 1351, 1802, 2022, 1926, 1352, 1970, 1517, 1353, 1971, 1518, 1354, 1972, 1519, 1355}, VertexColors -> None], Line3DBox[{1357, 1850, 2023, 1356, 1851, 2024, 1358, 1852, 2025, 1359, 1591, 2026, 1907, 1360, 1902, 2087, 1585, 1566, 1644, 1361, 988, 1586, 1567, 1653, 1645, 1362, 2099, 1651, 1654, 1587, 1617, 1588, 1671, 1363, 2107, 1700, 1589, 1618, 1590, 1658, 1652, 2088, 1364, 1695, 1697, 1568, 1692, 1569, 2106, 1365, 1763, 1570, 1762, 2027, 1903, 1795, 1366, 1804, 1752, 1803, 2028, 1921, 1367, 1853, 2029, 1368, 1973, 1520, 1369, 1974, 1521, 1370}, VertexColors -> None], Line3DBox[CompressedData[" 1:eJwVzzlOQlEUBuCDQaVCt8AC7Ix2qLWNEdAYxeE5N9LgFKcSBEU3wQoUh0UJ KmLtZ/Hl/8897+bm5ZLK4lEqIhZYG47Ij0Z0WdVnZI+ynpWf1Fg3j8lxXkci vuS7fGPDriGbTGUiEnnPHZt2p3LC+bE7Bf2cM7bsVtIRbb1FkWc6PJHYz7v3 offoUuKWF+pM22/77kK/ZIkrJp2feG/H7sH8yDLfzm7kNbt2KfMQQZ8qe/// I3/IsW+elQMO9Dn5y6H+B1KbKqA= "], VertexColors -> None], Line3DBox[CompressedData[" 1:eJwVzb0uQ3EcBuCfiLJYGHQ1drNIKpq4gQ6Y1ChpQkQ7SmgESYUbYDfU1wW0 tJ1wP/RTqxpPhyfve/7v+Z+zvFfcLkxFxBZHMxHV2YiWPKSmt2WRBf2Vjr4o 04mIL7JzEd9y3lnX1tLPueDN2Zq8p2eryEtW3Tm2rev79G1teeosY3vUH9jh g09+vPMuN+ydyffokuOWO66nI55kmSsyHJByZ+B+X3/mhTwl/1uxDW27ngcM J/9i03nS/mtbkjfUGXk+oaH/yRJNfSzP+Aex6TUt "], VertexColors -> None], Line3DBox[CompressedData[" 1:eJwNyslKAgAUheErpLUNsl1B9QBtIygaty58BHUVYXMqYbUMWqkFPYvauGg0 X6NHyCGhb/Fzzrn/ncvtZYuJiMigmowYjUds40z/k1uo6NNyHtfITkQsyLL7 jJzFEJ1URBffKHFfct3vJfeuf+IDp1zFbYm7swu4xQ1OuAtujXuzX5G0f8Yi jrll+xkvWPVzzh251+0G8ii7LXI1/ZB7lE9oocqtcG39gLuXDxi4N2VaTmGf u5J9TKJo9+QmdvRfuYFd/R9SZCxL "], VertexColors -> None], Line3DBox[{1408, 1862, 2046, 1407, 1982, 1535, 1409, 1983, 1536, 1410, 1764, 1984, 1537, 1765, 1904, 1985, 1753, 1796, 1538, 1693, 1905, 1986, 1694, 1699, 1755, 1539, 1754, 2117, 1667, 1708, 1668, 1627, 1689, 1744, 1540, 1638, 2097, 1709, 1787, 1710, 1628, 1642, 1745, 1863, 2098, 1598, 1646, 1647, 1601, 913, 1600, 1648, 1649, 1630, 2094, 1541, 1629, 1602, 1987, 1542, 1411, 1988, 1543, 1412, 1989, 1544, 1413, 1990, 1545, 1414}, VertexColors -> None], Line3DBox[{1416, 1864, 2047, 1415, 1865, 2048, 1417, 921, 1418, 1991, 1546, 1419, 1922, 1992, 1547, 1766, 2120, 1571, 1757, 1768, 1769, 1604, 1106, 1770, 1597, 1631, 1746, 1747, 1743, 2114, 1789, 1599, 1632, 1690, 1691, 2105, 1639, 1650, 1572, 1633, 1866, 2083, 1607, 1603, 925, 1420, 1993, 1548, 1421, 1994, 1549, 1422, 1995, 1550, 1423, 1996, 1551, 1424}, VertexColors -> None], Line3DBox[{1426, 1867, 2049, 1425, 1868, 2050, 1427, 1869, 2051, 1428, 933, 1429, 1997, 1552, 1430, 2118, 1756, 1553, 1788, 2125, 1605, 1819, 1823, 1824, 1748, 2115, 1606, 1831, 1870, 2090, 1749, 1608, 1871, 2091, 1431, 1872, 2052, 1432, 938, 1433, 1998, 1554, 1434, 1999, 1555, 1435, 2000, 1556, 1436}, VertexColors -> None], Line3DBox[{1438, 1873, 2053, 1437, 1874, 2054, 1439, 1875, 2055, 1440, 1876, 2056, 1441, 1877, 2057, 1442, 2001, 1557, 1443, 2129, 1817, 1820, 1818, 1830, 1444, 2132, 1833, 1828, 1832, 1829, 2131, 1445, 1878, 2058, 1446, 1879, 2059, 1447, 1880, 2060, 1448, 952, 1449, 2002, 1558, 1450, 2003, 1559, 1451}, VertexColors -> None], Line3DBox[{1453, 1881, 2061, 1452, 1882, 2062, 1454, 1883, 2063, 1455, 1884, 2064, 1456, 1885, 2065, 1457, 960, 1458, 2004, 1560, 1459, 2005, 1886, 2066, 1460, 1887, 2067, 1461, 1888, 2068, 1462, 1889, 2069, 1463, 1890, 2070, 1464, 968, 1465, 2006, 1561, 1466}, VertexColors -> None], Line3DBox[{1480, 1612, 1052, 1479, 2081, 1901, 1478, 2080, 1900, 1477, 2079, 1899, 1476, 2078, 1898, 1475, 2077, 1897, 1474, 2076, 1896, 2007, 1473, 976, 1472, 2075, 1895, 1471, 2074, 1894, 1470, 2073, 1893, 1469, 2072, 1892, 1468, 2071, 1891, 1467, 2092, 1610, 1609, 1611}, VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{624, 817, 1932, 625, 831, 653, 2012, 846, 668, 2016, 861, 683, 2019, 873, 695, 2024, 884, 706, 2031, 894, 717, 2040, 902, 1976, 727, 909, 1982, 737, 2048, 920, 748, 2050, 931, 760, 2054, 943, 773, 2062, 956, 788, 2071, 971, 803}, VertexColors -> None], Line3DBox[{626, 818, 1933, 627, 832, 1945, 654, 847, 669, 2017, 862, 684, 2020, 874, 696, 2025, 885, 707, 2032, 1261, 1262, 895, 718, 2041, 1263, 1264, 903, 1977, 728, 910, 1983, 738, 921, 749, 2051, 932, 761, 2055, 944, 774, 2063, 957, 789, 2072, 972, 804}, VertexColors -> None], Line3DBox[{628, 819, 1934, 629, 833, 1946, 655, 848, 1956, 670, 863, 685, 2021, 875, 697, 2026, 1014, 1015, 886, 708, 1159, 2033, 1024, 1250, 1225, 1226, 719, 1164, 2042, 1032, 1251, 1230, 2124, 1231, 1260, 1257, 1196, 1197, 911, 1984, 739, 922, 1991, 750, 933, 762, 2056, 945, 775, 2064, 958, 790, 2073, 973, 805}, VertexColors -> None], Line3DBox[{630, 820, 1935, 631, 834, 1947, 656, 849, 1957, 671, 864, 1965, 686, 1008, 1009, 1011, 2087, 986, 1016, 987, 1077, 1068, 1112, 2102, 1025, 1057, 1026, 1227, 1162, 2109, 1163, 1033, 1059, 1034, 1130, 1978, 1096, 1037, 1199, 1208, 992, 1198, 993, 1985, 1190, 1188, 1189, 1992, 751, 934, 1997, 763, 2057, 946, 776, 2065, 959, 791, 2074, 974, 806}, VertexColors -> None], Line3DBox[{632, 821, 1936, 633, 835, 1948, 657, 850, 1958, 672, 1002, 2084, 1003, 1004, 984, 2082, 1010, 985, 1076, 1012, 988, 1017, 989, 1107, 1078, 1056, 2093, 1092, 1108, 1019, 1027, 1020, 1128, 1070, 2095, 1116, 1035, 1060, 1036, 1098, 1097, 2101, 1038, 1127, 1131, 994, 1125, 995, 1986, 1126, 1201, 997, 1200, 2120, 998, 1194, 1192, 2118, 1193, 764, 947, 2001, 777, 960, 792, 2075, 975, 807}, VertexColors -> None], Line3DBox[CompressedData[" 1:eJwV0CFPQlEYBuBPZcPRKDojwc1pdCM50U2Dw+sGJolmBWUjAMlmUZFuMNHF olL4BwSC+B/Misnnhmfve885393ZKZw3qvWFiEjoLEYUlyIesxFd/UB/0vv6 qT7Qn/Vv/S0TcbQc8SHfGVGnwbr1LXnNFU122bZekn/m9+UeLc64pUaGIa+8 cJfOmruXPR7S/9NhQpsd+11Z5pg8Jww4tJfIGy64ZIUqFTaZ8cUnifOrcs5P esb3r8y585ipN1iTEzb4BwBaJww= "], VertexColors -> None], Line3DBox[{636, 823, 1938, 638, 837, 1950, 659, 852, 1960, 674, 1006, 1156, 1214, 1213, 1217, 1215, 2122, 1216, 1157, 1219, 1218, 1220, 1139, 2107, 1140, 1069, 1143, 1142, 1223, 1221, 2123, 1222, 1158, 1022, 1170, 1255, 1256, 1169, 1234, 2111, 1233, 1235, 1149, 1150, 1071, 1155, 2097, 1154, 1239, 1237, 1238, 1176, 1244, 2114, 1243, 1247, 1245, 1246, 1177, 2115, 1048, 1282, 1283, 2132, 1284, 1281, 1280, 779, 962, 2005, 794, 977, 2007, 809}, VertexColors -> None], Line3DBox[{640, 825, 1939, 641, 2010, 839, 661, 2014, 854, 676, 1195, 2119, 866, 688, 1252, 1253, 2126, 1182, 1183, 877, 699, 990, 2106, 1123, 1124, 888, 710, 2100, 1093, 1161, 1094, 1030, 1129, 1207, 897, 721, 2104, 1118, 1174, 1119, 1063, 1074, 1236, 905, 2089, 730, 1079, 1080, 1043, 913, 741, 1082, 1083, 1049, 2083, 924, 753, 1050, 2091, 936, 766, 2058, 949, 781, 2067, 964, 796, 2077, 979, 811}, VertexColors -> None], Line3DBox[{642, 826, 1940, 643, 840, 1951, 662, 855, 677, 1258, 2127, 867, 689, 1181, 2116, 878, 700, 1254, 2027, 991, 1185, 1186, 1224, 1187, 711, 1095, 2034, 1144, 1023, 1058, 1228, 1229, 722, 2113, 1175, 1039, 1064, 1151, 1152, 2096, 731, 1081, 996, 1065, 914, 2094, 742, 1045, 925, 754, 2052, 937, 767, 2059, 950, 782, 2068, 965, 797, 2078, 980, 812}, VertexColors -> None], Line3DBox[{644, 827, 1941, 645, 841, 1952, 663, 856, 1961, 678, 868, 1966, 690, 2022, 1259, 879, 701, 2028, 1184, 889, 712, 2035, 1031, 898, 723, 1274, 2043, 1040, 1267, 1269, 2128, 1270, 732, 1044, 915, 1987, 743, 926, 1993, 755, 938, 768, 2060, 951, 783, 2069, 966, 798, 2079, 981, 813}, VertexColors -> None], Line3DBox[{646, 828, 1942, 647, 842, 1953, 664, 857, 1962, 679, 869, 1967, 691, 880, 1970, 702, 2029, 890, 713, 2036, 1275, 1276, 1277, 2130, 1278, 1265, 1268, 1266, 1979, 733, 916, 1988, 744, 927, 1994, 756, 939, 1998, 769, 952, 784, 2070, 967, 799, 2080, 982, 814}, VertexColors -> None], Line3DBox[{648, 829, 1943, 649, 843, 1954, 665, 858, 1963, 680, 870, 1968, 692, 881, 1971, 703, 891, 1973, 714, 2037, 899, 724, 2044, 906, 1980, 734, 917, 1989, 745, 928, 1995, 757, 940, 1999, 770, 953, 2002, 785, 968, 800, 2081, 983, 815}, VertexColors -> None], Line3DBox[{650, 1000, 1001, 1944, 651, 844, 1955, 666, 859, 1964, 681, 871, 1969, 693, 882, 1972, 704, 892, 1974, 715, 2038, 900, 725, 2045, 907, 1981, 735, 918, 1990, 746, 929, 1996, 758, 941, 2000, 771, 954, 2003, 786, 969, 2006, 801, 1052, 1053, 1054}, VertexColors -> None], Line3DBox[{802, 970, 2092, 1051, 787, 955, 2061, 772, 942, 2053, 759, 930, 2049, 747, 919, 2047, 736, 908, 2046, 726, 1975, 901, 2039, 716, 893, 2030, 705, 883, 2023, 694, 872, 2018, 682, 860, 2015, 667, 845, 2011, 652, 830, 2008, 623, 816, 999, 1055}, VertexColors -> None], Line3DBox[CompressedData[" 1:eJwVzj1IgmEUhuGTFTY4uerSEuGkNpigIAVNQVKYQwTpHDa2FDk6BtmSbQ6N LeXQGu7R5iAktNfSGHU53Dx/5+N7V9tn+52FiNhFbjHiHdmViAx9RZpP0Scc 8H9LEb+JiAc5J9/J9xjgWz/Ql/VtOY8WTvBpu7YVbRtyGnXsYWLr2S74Y6yh j1vcoOabNzddNyP5Gcto4ggl+yEduzl3U5i/kW7TddsWfbGd6hr8D63SCh71 LXk2/6/bD/olD/UNOk16C7/DT/grfpO/pP9jcyeJ "], VertexColors -> None]}, {}, {}}}, VertexColors -> CompressedData[" 1:eJztXXlUjW3XT6YSIVPxmELmmRDZGR+Px5jMFJkyRuYpmUkylkyZQpKhTNGJ IiJDSaMGHaVZyJzwneF33m+te63Ne7/f6ZXn66+z1m/tte997X0N+7qu/btO fWtb8ymaGhoaFloaGiVlv2/6SbodbJ5ExueyvKvH+lPKd2fPIYnJVIwX48X4 /x3PAd4JeBrwK8B7Ai/4iXxRa1dh45x/Tk2cp5Rv/EWBW9U8p8B7Rk4/dkCG T9p8+JEcP3+yT5Ycb6z1+pWbDH/3+o17DRnexXOsg/kP5Dn9nD1FzW9i/Xn3 4/EmcnzloOE+crxuQTMfOT701dHnOxsnUeRdY/18GV614EK+zrNkOnbUVz94 QwK18P4y172DhHwnJjqd3yElt5NuweENYslo/O5d65oH0EidUY+/2KXQEYH8 Bchz+jl7fhf/c/2Ha+/y4UPLa3qH04KV4yqMOxhK+W4j3UvqZZD+1VinLh1z yE/T3DCwRSTVfWf3qJ3+bSoTXCplakw2JY2IfH1i8UMaufK1xt76t0gP8vMg rwn5ydAfDP0V9ir1m8OeKIE9nP1Fbf7kxi/XPzl/RlXv/Wjy/TAqtetKzNel j8ltaWBEdINM2medkPv6awKNu+6ya0ZNCc0qN2nTAUspJUD++k6lvBPkK0B/ O+jPeqvU7wp7WsGeK7CHs/9Xzf/c+OLmT268c/2T86fk4AU9+XcD9zS5LP/u hO87r8m/6wH5sZC3gbwu9N8cqdS/CvrnwZ5WsMcG9nD2/6r5RGx/5uZPbrxz /ZPzZyrk50DeHvJa0J9dQqn/IfrzbtjTGvb4FdH+rK75mZs/ufHO9U/On/2g v4W9Ur8R9HP2FLX5WV35BrcecfMnN965/vlPzTeK8+ffCy/eDxbjxXjRx7d8 9O9R5/QTcv0c1/Fe2A1qv3zRbIclL2gF8ALgZsA5+ZwHpg1X2GaTdG/jmKp3 Ayli8rzvOzIDKRv4FeD3gdtBT698pZ5+P/kupycL+FHgIcCnQ8966B8CPdx3 OfnC9r/2hcVzLWR45pRpZ41keNuOpRNsZbjWp69WX9MS6aq1W4+W6f7U51Kn Dtfyk2njnE26ZoZJ5H68sqTRU38qt/ZINQtpMi06HNyk8sl4MvGZEXp2eRpp rBkVtrGDlJV3hnx3yL9ZrZTfwMhPGO9RspFmInkf2/BlpYGEOo88PSxsnJTF bR5+K2W3SEpaRtYlTdekU+cdR2K7THtKpoe97FJvR5Ljue0DPVenkKSZpWFl jzS6399x1tS74ZR38/6fD64l0sUySY+zgjKpCeRXQP4R5MX6jbMn4GL3lI/h mbTmQkvz46FppLN/33etmeGsnVMNb8/4+48ksqi35+2CeH96+8rDUZqSTO7Q sxd66kEPJ//xkFL/eOj/BP25iMtAxMVv9Y/jyMX902WztIhl2aS9OPfY3GY3 aWqziLdOjYPIcJKBU433T2lFyTafc50kZGCz8Uis6XMyBr4IeCXg+dAzFXoW QY+wn+jAHrH9jYsv1x/E+p/zs0rPMIGeVMgPhbx2c6U8h5c5omzXULTrFNq1 APZcgT3dYQ/nN2fIH4d8C8hz/YHTz9kTif5fA/1/+XZl/+dwbnxx9schXj1u KeN1DvHi5Dl8GOaTs5hPumM+4ewpautpv8460sWBcXQ095p+aLiEvAflG9a9 +Zx6AfcAfg44N05VeB3gM4Bz8xU3rlsCXwq8GnCuv3Fx5NrVHPgp4Nf+zfYK 28XZyc1LPYAvAF7+J/gXfHc5vrsM320IO71gpwR2cvMep6eMYN3pi3WH68+c 3zh7OP1i++dNxPc65tXLiC+Ha3/U+DJ7Tzh91ird3sgjgWat7+v4OZzH335Q 4iuA2wF/Dv0L0K+8oV+sfOjDbbohLdPprFnFvXYH06lCjSYptd0jyP9l6bt1 eoXRn1XG7rfJiqYb+beTR1XNYnGb93X7nHuWQ9dP5e10XfOMInqtnT5o7T0W 9xz15t4WjTgy6TDMtSBfQqM7XNOeWDWF0tboPtd1fkz2scZhaxaGkFut9brp A9NZnNPTavaRXMmGbLKPOVQyxP0WDfu445W3TRCL74MfrsEPneAHDrcBfge4 NfCm0P88Wqm/M/RzuD3s7wn7Z8B+P7S3UZyyvYFoL4dzemIh7wO/eUB+OuKS 7KmMy0rE5SLiuxrxvSeIbz3EcQ/k225pfXL/uBy6uDfuvG2LaGq1Jfjtq+Tb NC/hTfT6ic8oy2Z47c+10qln5h09o4+Jor/bDnqSoccZem5Avgbk/QR2roCd ftAfDD98hB8uwg+cf7j2qsue25CP11PKn4E8h9+MV373Ib5bNUv53Z7wv+s+ pf83wf95kI+C/FPYyflBrH6xcefsETvfcvPV9zJaq+eYZxN1q/te0+cFVVy7 ZN+2K4+ohmtK17Al2RQ0yKDvymzZONcbYer4RxBN1zH7ZPzhCUUddJKeq36d amcHrppu+oKkGhvemTVPoLFzL/wZ0E9CdTW2WWb6Sdn55w2+2x/fbYjv6uO7 0fiuO74bBf2W0N8A+hM8LndttjWKPmmNtjIOCKAVc0et/uacSg3LKvU3gv6E NUr91+EHH/jBAH6Yh3ZFol010a6jwO8BLwX8LPA7wL9nKfEs2DkKdtaEnd9g 52vYORt2LoI9N2HPCNizDvgN4P2Bt0O7aqJdd9GuAPi5Iua3ayo/i+wn+5GH V0Qe/gx5+DHglYBHAG+B+bke1oVemJ/F6nnwalHQwJRYsi7Vcupm1xcU7WPz snG/lH/p7wD9faH/K+TtIH8e8urSw/lnwKl1Fa2WRlGpWZvv1XifIlu/Vvk6 aKdRZ4zr6hjvFhjX3LjjxhHX37j+wI1fsXZyceTGEecfdY13bpz6YhxpaivH kTPGETd+u6K9HdDeiWjvSvinIfxjDP9w8x43v3HzDzfeuXlD7LiuDju3ws6d sJObTwp7v7nKuKTritpJNK9ZztO28f40dWf7G5YpyVTLTX/ZmpWJ1CVicz/L b/6ktXi7y6vGUpmdynmgHOaBejgHc+gZ7X9pdRgNcm1TTzojktysOtZ8fjyT 9B9v7f/dJZY8q2ndnq4XQIucfc/q9EyhA5kmo97vzaEE8j2y8a84Gtk/Ic3D IIQ09OjPXX7Z1Dj+4qE+F+9R7367mukvvUkGNc89mdwsiV5cbjF+rMz+ks0d naNl9pvqaq82Kp1EKx+nHNuS7E/TTtTKe/AymbRc0yzsDiVQzuDufdu2ltDk Gb47/tgopQjENx/xXa2Ke7uyJ780SaI9Ok3ueMn0j6v0ccy8pGTq8PDLt2Ox sv1MxrYMiyx/uta86v5kDSl1O5t9v8A4nizOL/s2z15CeTGT1+yr/5zt51zc Of9zfraHn0fDz3vh55qIV2dBvCrB/17w/zL4fx/8fwf+Hyzw/xD4/+9/0/8r 4P+p8H85+D8b/reG/1V6UgV6iNFTFXoyocdKpJ4p0FMNejKgxxJ6AuHnqvDz YaxrzvBPbfinAvxTBv4pn6D0zyz4ZwHicgdx8UZcVPG1E8S3GuJlgnjpIF45 4cp4+SJemxEvzs5tsLMF7KwisDMHcZwGO6uhH85BP3RCP1TZHwD7T//E/uoC +8vB/rew/zzs3wD7v2J8uQrGVxuMrysYX/4YXw0wvkZjfBVgfImd37jz5DGC ewcTnKtEYN4OwTp4CvM2d36oOlfxE5yrOGF/aob96WTsT8XaUwpxDEYcrRDH XbZGDccnZ9PRcUm281NTqZRhUJUhNx+KtpOTLyuQV92D7EO7uqFdVmjXKNh/ BvZ3hf2h8Gcy/HnuJ/4s7O9e9vL1dHwRRp2unzB/PCecesecf3H+fYbo9Ujs uiN2fhM7rrl2cXkU1z+5/Epd6yO3TnHrmrrWL7HrlA/8OQ3+HAB/cnmR2PyH m2/Fzqs/i8sVQVw6M3Hh8iKx6ym3void/8Wuv5z+tkz/5NZrseuyWP/fmNb/ VP+TiWQ/ZOvWVu/9Kf2wVZey1aWi7b/O6Ok2cKNzyYuJ5BJ+Zol1nj+5LHcY tquSlB13NQT9WRs4tw4eW6J7d9a9BAo+W8b+QyMJlYoc5lVnoZRmNBrZa2DN JJoYpFHnhSxPGBfUs60kNZmuCezMgJ3+wFcJcL24cZ/sZOvC/stvP9aV+eF+ n0Z3rGXrgm0Jw6UlmyaRk/aHCqdkeE7NJI05Mv/MxHetBd/tNdi9ozwfsO+7 /Kw8H0hM3X9aUaenKWm1RYZv2t3geE25fo/NU0bJ88YhRhU1GybRkqoj7t+M 86dw3UzjXcm8nkXlW7rtk+HhY0/3kNf7nbm/MXSoDPfYuySjuywv/XRm0YVJ MnyBTdmwNBm+qZ7HLLMSSfQlYWe1aVJ/Ou0z02/Jq2Q6W/GYIm/JM3mtyFsW hu31/JF+C6nZ+EkyPGLdyKkNZPjxS3MXTU8Ur6ftFItpFWS4eeaFAcZy+c/1 Bjn/B3oK2x6xdjYM2q7Ax/V4p8D1PY8o8MW3OrWU4x61LM7L8Q8HOp4bokY9 XLs4+aJ271yMF+NFGX8tqO9NBf4CeBfgGT+pE+bkOf1FzQ9i8SjgpsBfAddr d1iBd09QzntS7f0KfJB96+pyPGjV5Ety/EJA1aty/Ma+/BbyOvYRl70y5HjQ NK3a8vmNq3vn5Dn9nD2c/b/Knw+AdweeB9ysnk87OZ78re45Oa77LcFbjh+I nDzIQJYPWCZkfpwpw2uNu57zQYaXv3u3XNuoeApdkT3m1FhZHn5gcrsHiVLy nj+kfr+ySXTHJd27iizf9o5dWCMlJ5m2rTI+s02mv1TJNp4GMj2H8+ctGfGD 73J2FrZ/Ji/ZqsTzlevmvErHFPiKJo4V3WT5W+lPbtabZLjJFp+hrWT5276t kkp3IrPpw6pt7dc1ekjNpxiada1yiz5lj3/0LvUJtU78bFLw+jmVc1vdKmRK OsWWmLzc4e9E+ujtqzleW0J2DrNXWppK2fWXs0dd7c0F3hn4C+AlAjMS5P1/ 18iCIDke3OTIYzlewOwXdvZpdyB2/2PKOXZrRrfeIXTx0/zw1z3Sqc7UOEeb qBySnMwpb7XjOc3dcvHU1pP36W+jkXvqmYdRK68FVysPjaYPY16tSvicye4j OHs4+8X64Q5wAv4euOVhiZM8LkM7t+4tj0v9zDlh8rgsE5x7T8O5okOlyhkV /kqkFSu+3E6TxXdbRI72zO5SerPFuXn/ui/IfWmm446QdLpVo3zbGumRNEHj ys06ibFU6V2JRct3v6Du458PezoghT1X5+ws7Lh7I77OiO9BQXxDEN+liG9f xHc04vv1F8dXXePdBeO9L8Z7eYx3oxzleB+I8Z6yRznen2C8f8J4n4/xrtJf RqC/sMd7Ya8L45sMtktOiqderfw7bRotoad/HNl4PE5KpwXrwhmsC5yeorYu FHZ+Mvjovnry/v/ddFK2HD/XZoThPyHfKM6fi/FivBgvxn8vnJsPswT52M94 yi9Fyv/uOLf+GmO9NsZ6/Rjr9e3T05Tre6NRivU95lSBnxx/Emh4QZ4PzNnT /L5Cz+5NKT9a18INd1+Wy9d9ND1Ujl+N0H0ux5fWWqf8rvZHhXxglZM/zPeK mj85O8cjP4xDfqiJ/LBdSN4YeT75tHPj9/J8cn3SuHR5PpnZKUbnYutEsgu9 7b20ooSu3Pm0q99fUmo5dOup+bI83KrG4EnbZfLH3MZlm8ry8CldJij0r7rb VqH/rNd37x/5/1f5h9svlD5wTrG/KC/ZrthfaNkfUewv/LJmkNPTHKp+O6Sb aVMp6evVfTzWJZTCcV/2APdlXrgvu6q77dbuBkk0K7fmk6dx/jSwfpruzR/c KxV2v+L2gyWxf9yJ/eMt7B/LCuo02qFOY4Bmo/s9NobRF/PNXdq3i6SGJrfi ahzIpJaoRyXUo/ZDPSpX7zGxkPdr3H7/wcBFTeXtne85N1OOH+/jWEe+X7D1 y7uyZXUiZYdIai3/6k/TRlFAByMpuQl4MZ1Rn8nxENW17+b0RARaKOY950Hj FPPe2tulFPua6j5TLbY8jaCYDPtWfz2+SSYOuw/Ob5lG08DL8AUv4xF4Geo6 D+FwLr5cfxgw2mlCilcOhZy2WLay0VPqO9Y18JVtCD3L9Rtv2T6FXg8vf9D6 Vjpl9F43pNSEGFozd3uJst+iKO3CyCdTPAJozIxS9Q9ZprL6uX5e2Ock3Lj2 896imCefmjRRzJOk81IxTyZ3Hfq+do0omuQSFdosJoAqH9oa6xqUSov69Pjo eDmWkq4NyOqhE0A5+zKv63dIoZjwisP3NEyi6G3Wn4/I5pnB0rXdhiXz89iv OifhcG5dWEF6beT4rVUXFP5ZvLHgjGJ9X9bWvo+sXXbhBZv3yfAN7n9cGipr 1yjHBdFLZPLb+vqcqSPD7zUe03PCD9Y1bh383dd3Lm85kH9JgRvp5Sjwexd2 /DCP4vKuf+o5idg8nOu3XJ5ffE7yz8Z3Y36Oxfz8DPNzJvLDhcgPXVX1qFi/ nmL96o31q9uyjBllG0ST0+sxTXsdCKCSV2b1vTUolUq8Uq6D77EOemMd5Hi+ j7Fu5kJeo49SPsug4OaaibHkTIs039UOIKvYkU6Oo1LIEN/dge/q4rt7YWcy 7BwCOzl+lg7s/IDv7oWdOtDvCv360P8I/omGf7zhn/nwZzL8+RL+VFe8uPWC 29ecYc7hufWIux+PhPx8yG+EfKxgHR+Cdfwas4/YXxBUNrJBLPX2fBe/tnkA ze03ZWa+XQrF497kPe5NbHFv8gb3qs1xz1IJ96qaTuXa77gdQSH6Nvp/SqS0 q+Hoz+sHZfDv5ADPEOwLUtulH5a+jKJhNc8fzDsZQNtGTTnnOCWV/Nz2ttwY nU01DwXTui+plLt0x5ihMQ9pXZWr89vGpVLDez4dJt5NJ/ezuXSkW9S/eMTd ka8eRb56GXm4L/LwOsjDlwv0nIIe7t3U20NvHlsd85i8mzimzN2dTJuvnX7l WI5/byQY8l6Qd4R8q0Uauts7PaGAjScXvv7rOS3fmLxs5bt0+iNoyNRukzIo /EaIzehh6RS+IbSWlstjem8evDb1ejz5hN5bvH2ChHRDH8WPSZdSiWFK/Czw csANoecR9IRCz8/eRTkkwI1h5x3YuRB2PkK7rqBda9AuL/j5MvzcTPUOAOLi gLhcQ1wG4r5SH/eVebivVN1vhuF+0x73m71hTwzsmQF7uHZ1R3yNEN93iK+p AP8APBj9rQT6Wyz6G9efufHVEuOiAONiLsaF2PG+CON0AMapA8ZpC8wzloJ5 5letX6p4BSFe8xGvrFsL9ga/iKR2J/K9mrim0J/lRwYe3JRGWsFKvA/wlsA/ Qt4EeDfgeujPEejPsejPXzEuzqH/66D/dx01ZOtWiwQqk5Xr50kSinizNr/j SSnVFIyvx9BTFfYMxHcb4LvnMC9ZYV46iXkpP0RZh/MQdTifUYfzfHD6yfaH Iigv4Wj2XicpVZ7uVRAxK4PM0c9zTyn7eRb6uQ7eM9HUVr5DMhPvkGQI6hYe oW7hPd4t2SB4t6TKEOV32yQqv5tlo/xufecVq32z4+mvVjaWHTemUQ2p4RF3 Hem/xuMJjMdQjMfWy23/ftNENn8mBriQSSpdspiaO6TxQwrCOqsJXqof1llz J1NTk3dhVGll/b/X+4RR6rE2x2/HZ1B7rO+lYpXr+0ys782Al8C6bwq8DXAJ cEvgg6B/BPRnQf9l2NMU9gTBnhvAtYFfVfGGuin3xWOwL/7urtwXT/JyGHFv eRjt63/dctrJSGqWuXDCiPOZ7HnCOPgnOkHpnxHwT2+ca/UfpjzXaodzrYSt Sv93h//N4P+/oN8T+rtAf1/o14b/10G/6j2QArwHsknwbowt4nhRgE8Cfh64 Ndrrifa2RHtVuDvw5sC59VSFTwXuq5rP4Yc8nO81gB/WwA+t4YfF8MMg+CEL frCAH3rDD7rww2b4YTj0H4D+qtD/EPq7Qn9/6A/Eech0xL0OzkNU7T2O9rZA e1ujHx5EPxyNfqhqrxHa64b22u187TeyRDLpb37xTLtTOo3v/WCoZqdE0sR5 Wu1M5Xna3zhPK+c72KzF9njKujqvXvQMCel30NGY+EVKU2GPHexpAHu0oEcL evpCzzcfpZ4c6KkNPZHmddw6JsSSd7cNTz5rBpC539tXbxukkAfWZT+sy62w LleBPenQUxV6HCEfAPk+kHcW4D2Bq863HwQrz7eTKyvPt0/AP83gn+ReSv+M Rnu/o73d0F4u31PNJ/mIiw3iwq3XtVAX1Bf5ag7qgrh5xhftuoh2NUS7DgjO b42Be1bac0nHNpzujK1bepxs/ZnlbjR+cuL/nmNbQP8A6Ff5pxzO/3Vx/h8B /3SGf5bAP2/Rb63Qb7XRb2fBb53hNwP47Qr0D4f+vtB/EPqNoP8D9KvqJ3Uc lPVUrVBPpYP31W3xvvpcvK9eHetUL6xTNlh3nFCf9g31aX6oT9tmrXwP3wrv 4c/De/iloCcB69ds6DkJf0oE/jRA/w/FuXQn9H8twTgyQL/1gD1esMcD9mRj XJzAuOiHcbEHdo6HnbNhZy7WWUvYuQB2PkDeewl571rkvZaIywPEpT3i4go/ j0XdWiX4WQ9+HjZK6Wc3+FkD/rmD79riuw5MXaKd4H3RRuD7c7z7AqYO8CH8 cwb+GQ7/cOuICeonS6F+cgzqJw0Gb4mZNjGKvuVNf3DmRQoF1Pqje8M6aWTP 8MGXo25zFeo2d6Bucw7uU3Jwn2KD+5RrnXeUqbsygZZlbR4UYCyhbhsf34tw kZJRxMcZA8wT6UKlyguTykpoklZ60AITnu/P7e/mMvc4Enx3Kb7bFd9tgu/6 Cr7rhHnjOuaN3pg3DOGfUm+V/rkM/0gEPH0P8PQ5Hn3y6vTAAY2TyMDu6Fpt 2b6j7Jkj2s2eJZMU963zcd/qj/tWfYcST8I0kqhx/tiYVVLZ/si99BfPV/y5 wW7sO/pi37EA+46nyK+8cN5y9Ce87JvIn8cgf3ZH/lwH5zk7cZ5TEec5Q5Hv VUO+9wL5Hncfytkfg3OMDzjHmIdzDN9e+qEmk3JIYpXut3hNNHV7farFec07 7LkNd86jqrcPEZzncPJC/7T7yXlICPw2Gn47AL+p8mFzQT68hNknnkC8rJEP hyFe3Pi6iH6+HP28O/p5Q/Tzi+jnk9HPrwjGoynkGzPjkXsncHbpzA9jVkZQ g6Gl9czrBNPounaTB9in/auf6wv6eS76+Vz080s/6edzUB9rhvrYJ6iPPYT/ uWiI/7mwwP9ccPPVUsi3gPxkyFti/JbB+O2PeZj7Hx8tzP8F+B+fcZj/t0NP Beh5g3lA9b8/TyA/HPIHBOvXTKxf3PzP/U/QfPi/EvxvAf+vZ86FOP9Ux/xW gPn/Bua37ji3CcO5jS3ObepBXhPz4RXIC9+7UH2XW7+eY/3yxPo1AOvXCbR3 DNo77Sf+8RDIq/7Hh9svV0JckpEvrUNc4hBHfcTRDnGsAPkrkF8JeeF8roV+ niaon/FDP6+Bfm4k6OfD0N86oL8tRH87KXiHLRT2LBH05ymC/i/kWdgx/wvD jVMDwXgsBzu59945vCbzfoIBw0P3W5Z0/QnJ8mgTLcNcHQkZph9cYNWT/z8s Lk/geBOHH07pJNdzvl4NRR3O8dOxXnI9XH3OV4a/w9VjJDuv3yWvN2hasm6E HF8zqNqbH9WfcPI7p7/sINc/oPlRhT3Gl9NP/6gOhDtH5fRz8pzf/mjgd0+u J2RhhztyPUd8nsb96H6Zq8/neDpcuzi/pe60UeA9zsxX4PWabFfgA3umKvzm 0MpD4beNR7MVfuPs5+5zOT44d97L4ZyeonaPWYz/d+ruuPqrwq5H+l1wrr6F q1/ieHAcD5GT5/T/LnVBYuurOb4Yx+PjcE7P71IvxPHCOJ4dd8/O3RNx5y3c /Sm3/+Xs4ez/Vf7k6p04Xh5XX8HVLXD3ldy9G3cfzZ0zc+cDnP2/qr6L4+Vx eRe3j+bOk7nzYe7cjzu/5c5RuXtY7h0Jrr1FbT4Ry6P8T/9HWHie8J/+j7Bw v8ztc7n9o9j/Ef5d4ih2Hitq84O61rvfZd35b+U/wvcHfvf8p7DzcG6f/v8t Dy/eVxbjxfg/Dxc7Hn+X+Zzjzc3DucpAnKsY4FylsO3neG0cX7WwecdFbT3i +ErcuTfH7+b4zhz/l+PPcnWYHM8xdMxwDQeZnbXKrqhZW2bn6VZj24xP5O8X xL6rwOEcb46rK+B43xwPmuMRc7xOrg6B4+uJ3V9w/EquToPjUXI8QbH+5/iw XF2KuvJqdfHQxeZXQv5Xr5/wvzh+Vjz4XDvA55oKPhfHO+P4YhyfqwL4XB/B 59oDPhfH23JFu6RolznaxfG/xPpZXbwkdfF91MW7Ecvz4upsxfKnxPJ9uHmJ 47Vx/DLuPIrjc3F8H47Pxb2vyPGPuHcIufpkjr/DxZF7t1Ps/1xz7yL+qv+5 FtYXlYedHG9oHdMujjfE8ek4PhHHK+T4dxz/iOOdcbwwjsenBdwbeFngqnPv R4Jzb473x/GeuPchOd4Zx9sSy5/ieFIcH0os74l795V7H5XjSXF8KK4ejOND cfwpdfGkxPKhOF7Vz3hGwnVBLF+Gy+fF8qfUxT/ieEZieUNi+WUc/0ssn0ss H4rjuYjlWRQ2P4XjN4nl0XB8FrH8FLE8EY5XxfFQON4Hxz/6GQ8lFP5vB/9z eQj3XjqXH3Lzj1g+FMeb43heHH+N461w78Nz/DuON8e9vy2W78aNX7E8O+79 c3XVaauLF8DVY6urnl8sH4qr2xdb/y+2bp+rM+dw7h17sTwLrp6Z+y7HPxJb 387Vn3M8JrH159y7/RyvhMvTxPIRuHpjrs55klWMbn3ZPq584oVe72T9PLdf nxNvf8BX4v7/i+Nhlcb/2cXi/wqt8X92qnxsE+bP4T95R5HjZ3Hn4b+Kr/Qz Hpbwf0+4//vgeEZi+WgcX5X7nw6OF6kunuO/y7/g+FARqOPi/k9EXbxI7n8c 1MVn5HiX3Ditj7iUFPAxuThyvCR18Xf0GT4Lx7vk5nmOh8LhtsNconfK5qXR 9Ud8OCqzf/mW/U2Hy+al0BFTNlfZlUh64+ZMOvzZn8q079/Hp46Ufaf3hpX5 usUyPHGC9if5OLV16PtEPk6F89t8zG+JH8I65uUkUqx15e+JL/zJN/fGqRaf +Psa7n6nabmGa1rL9He4S9WnyfASKRdsXv7g/k4s34SrTxPmIVOwLnDf5fSr 7O8osJ/js3C8HrH8Ha5d3HrH6efkOT+L5cWI5TFx/B2x/uH0qOseRyz+6oby Pt0N9+kPcJ+urnso7l6Myx+4+UTsd7l7QO7eUGy9JXfvyd3bcvq5++LCfm9f XXUI3HvOYvVw7yerq73cOOX6IVfX8avqYbi6l9+lLrG4DvDX4sL3YJNQ16GN /NAU+WEl5IfbIR8H+WTIh+Ed15e4f9fEO67cd7l6Fe7dQu49NO5dL+59M+59 Ie6dHBucc9oK3svi3t1SvTf1DfJdIc+928C9q8C9J8Dx67l9K3cOwL1vwOFX wXPPE/DcOX46V8fF5V2cPIcX85SLJs7lRWmC+VzFoylqdadcXmqEvLEL8sZY 5I3lXP5W5nvmlop87/YFLcW+wH7D0qnyfrtuXZkEOR6VMamUfP/F8XzVVR/I 4VW/2o6S57dBThcV+W05y7kZH36Q76nLnqKWb3B5xZ+B5V/L49Xt+50AxX65 7Ox7clx1D3tY8F4lJ8/1c7F2WjP5262XGmaLZHH82Mph00gZbjwhvnqYDK98 ZPWq1rNjabtPvRTrWgF0el5jl83DUigH63Ie1uVw1MVxerj+LLZuc5+2i+Lc Jr65keLc5m3ZTMW5Dbcecf2TG3di/cnZo676TC5ev0t9fmHn2/k4T3DBPiUE +xR1+U1dceT6G9c/15ZMUZzb7FmgPLdp2jznh+cS3Djixh03Tvv3f2l2Ovwp 9TQlvTe7JXTr2TKNhQOfs+eiYv3MzWPcvCe8F1CdS0/E/Hla8A4wd47N6f9V /wPO3c8W9v93FzbOre9cPy/s73J5AjcuuHFa1His3DgqajzrfypeHXmRM/Ii T+RFHw4rcRfgl4Fz862qvs5FUF/HzXs1mO8GnylI3/I0h0y+tWs+vKmUdqbv 157jEkq3gJsD9wDO3VdydnJ+UOmvCf3LoF/lB1eBH7IFda2hqGtV1X1FwQ8d 4Ic8gXwQ5Ll2cfao/NMRuLMAF/pNFZf9grjo4XzmOeoMTXE+805g5w1Bu54I 2sXlz5x/VN9NEXy3DepJNFBPYo16khWow7EXvE+yWlCf48zgqrodC+gvD/19 oZ/DufWLy88v4j3bO3jP1gzv2XL9kMO5cceNI7F+4/Rw+cZQ5FFmyKMCkUdx eR03Hrm8hXtPQKz8/wAOXya7 "], VertexNormals -> CompressedData[" 1:eJyVvXVYVs/zPo6JgYqNit0NguTDs2J3t4hd2NhdKCogdrfYgQKC1HMAQVER 66WCYoPYYGDHD3bnPnj2+nh93z//ORfjPnNmZ2NmZ+eeU3345J6j8hoZGfUu ZGSUL/vZ4tH16HCL+0fxNOL/MtnOSkbOs/NsOPn4coN9wxptPgl68zuVe74q cei0/1eX5DLPTp0GvVJ8ZuTbFxUDy/o3K3jdq24g6PfN40wsB34O6tnZMfVZ 6SJnQX8/cX1m8dotgl1bGNW+18IlGPRmRQ4X9lrwOfhZPfcjySdrhoDu8czo 55nptYO6dd4Yf2b6KJXeoChvb5NYX9v+2CTO3ybAWcvfoQqXx/pDF608065w +a2MA7TyH0zm/bVY9kvb30vmXD+NWyZo9UN6rC/rE3qEXkG/4tF3V+FOdmfw BL1V/ZU/p1y0Dur+Wze8d4ZdEOjjAg4E19avD97hlbXObvAOtV9uljPSyyX2 PTeGP0efA33wK7+egw96h8b4//hVYP7BUND1XonLi2+yCRvzYmDq5YyhYaC/ HutkcnbDsBDfMJMh8dV3q/T6or2D3L7iG87fvsIZLf/pzbg8drObaeVZGcjl t+nuo5U/uSHvr/XEPE6a/m5cyfViuXmlVj+kz8ayPjEvMU9Bhx6hV9ADEkwT 3pqbh+AJuuOR5YfC3g0OrbWq9BHrs8PVfvV2/fZp9/iC4dsTr83M718qHPSp Bzz6RhWqGdE+ofaEzMu2EaA3je44aMC28IiQc8WT77InKr1BjRPbzOs8Do03 Pr7oUcnykaAvF+11P6X2df04f53tVS3/JkO4PI69r2nlyXucy2+fulor/5+r vJ+2eRK1/XUTerdOaajVD+nTQtYn1jnWPeiYl5inoEOP0Cvo/epGmxoN9gjH E/QzjlebmfgXjZx+c2VCwPRSqn4uX7346X6ZgoZL/FnOAHqx3c0nv0v3MBTg Tz+D4euf7H8ZbEhI3hqZ8XvCfbbF7D5Z/6ahSvBvTrcT7fWtpPaDEjl//fBE Lf8POi6PU/dbWnkq1+NyO1avp5X/idC7faHj2v52EfPexjtQqx/Sp5WsT+yb 2EdBxzrHugcd8xLzFHToEXoF/WfZR59KvppiwDPlj9DDjA9Nj87Io1fuZD3T my1pq6yyqtIhh/4w4Ov3ATs2KK1NZnwtOO6k0qBpIYuvmRnMa0KvdR7HdkTs dXjkHRZ8UQmIqnCxqXsGeynas0lS+zofOX826rOWv085Lod+QzmtPF2E3p2+ 67Ty9xTz3rH5EG1/Pa24fuy8rbT6IX02l/UJOwS7BDr2TeyjoGOdY92DjnmJ eQo69Ai9or9nWtvuclx4S8HzhNeDW2WevGEH6paK/RRxXdnLn4+VxemP9DWy XrL6DjHJRTLCdPkHJ5qbxD9kz869m9G2+Bs2V7RnK6j9Nmp/U/Bl94n/HuK/ Ueidzf+oleexmPf654la+asl8v7q3vpp+2sWwPVjv+itVj+kTxtZn7DrsPPq fCa7ArsEOvZN7KOgY51j3WP9Yl5inmK+QY/QK/R5a1//oD/ed9TnBo8Gl2cb XrPYcgOMr9XZqJtR3erGRePDbOrcib3PfsnmI9opAdT+ILUfK/izacT/BPEv UozLw8YEauVJFfLrMyT5X4by/uqqnNf29/tLrh+HgT5a/ZA+bWV9wk+C3wQ6 7DrsPOiwQ7BLoGPfxD6K/RPrHOse6x3zEvMU8xN6hF6hz/ob0zJ691+ix9ON 1vt/1Xh7pYPUPkbwV+4Tf3/ib+7I5WG1Jwp5TpA8Xbdz+fWh57TyWxbm/XWq X1Pb32qRXD8Ok9y0+iF92sr6hN8JP1Sez/Cb1P2W5jPsPOiwQ7BLmA/YN7GP Yv5gnWPdY71jXmKeYn5Cj9Ar9DmH2uEZRu270nzuSPzjiL81zWf3QK081feI +Vxpj1b+xmFiPruf1/YX87mNj1Y/pE9bWZ/w4+HXgw6/E34o6PCT4DeBDrsO Ow867BDsEvZD7JvYR7F/Yp1j3WO9Y15inmJ+Qo/QK/RZpI3gi6cv8S//RezP lT9p5ZlzTezPM69p5X9I+/P8g9r+mgWK/fniO61+SJ82sj5xLsI5CXT48fDr QYffCT8UdPhJ8JtAh12HnYd9hx2CXUJ/sW9iH8V8wzrHusd6x7y0ltpDj9Ar +PctL+TAE/LU+0/4G456rfyvrwt/o8IwbX+3WQt/Y4u1Vj+kz+ayPnHOxLlT 1Rudi3BOAh1+PPx60OF3wg9V1xf5SfCbQIddh50HHXYIdgnrF/sm9lHsn1jn WPdoj3mJeQr+0CP0CnpQfSE3nqDHeAn/eewJbX87rhX+s+dZrX5In1ayPnFu xzkedJwzce4EHecinJNAhx8Pvx50+J3wQ0GHnwS/CXTYddh50GGHYJdAx76J fRR0rPOHEn/MS8xT0KFH6BX0qGuin3iC/i2vOA/WaqzVD+nTQtYn4iCIi4CO czvO8aDjnIlzJ+g4F+GcpNLJj4dfDzr8TvihoMNPgp0BHXYddh502CG5PfZN 7KOgY51j3YOOeYl5Cjr0CL2CbrZa6AVPSZ+NZX1K8br6oEvxOrW9FK9Tx0uK 16nrRYrXNQdditep/ZLider8keJ1Kl2K16l0KV6n8pfidao8UrxOlV+K16n9 leJ1sj7ry/pcurTez2YTzysTys+q28fiujKzV6ukmRvesVOCzrYRfTLR0Q6/ Q/vkYjddfiWfVfDsXHZUO7PYDFamKP+bVRNPxYXoZwQf9pD4jCM+eB/ej/fi 9+AHPoGFxN94uhE9kfh/Ij4jiQ/eh/fjvWiH36H9M+dffZOTz53EE3r7cT7k tF+zxONt4j8OnF4k4Tjo1K7xP9o3lNuP8giz6WL3w1C5jYebf3QJZfr6279z 7EvxPft2nx4xQzHhz+WK1TWLglOz6aVqtx+wL91CudxC7zJw02ClZlLW0p/Z 9KKtv4W8jo1Rfm38crDOzHSlx/rMC/dZGisv2rP8ztr2b1vx9izPJtG+C7Uv 12S7/6rqfRQ80f5sZLMZP8ftVNYFs0tOMfuUb4NMqr/K9qvxN/4f9FbNu5xO HflAaZS4csbWrc+Ua0sSRnXZkso6f2yRUmpaApsQbFG7a980tivtwK8W55+z mhWH5fN/eJUNP20+vPHxp8rlliUaPk99wcqK9so4au9H7aEv6A96g76gP+gN ckAuyHMkf+Ksy1Xvs7nL7iXf7ZfKdp/Y5tT0YKoqH+SFnM0tbhlviRuqPiOC DjT/ks1/l+CjLCc+W4lPaFPeTrnTVNu+j+CvMOIfRPyLivFg5jSeLWlcMN4Y f4wLxhvjj3EP8q6b1WvhZRbHn8dYx0azjg9vlcFOVt68Iun9OXaOP4+wuI9D yuqvZbBqgq44E/0i0d+s4XyUwr6CTwPi81TMJxYsyYN5hnkHOuYZ5h3mG8YV 44zxxTzAvMB8gB6hV+gTesc4QP/QL/QNPQ+g3w+Q+PSidoVJnlBqj7/x/6CX oPH6Q/3SU788hTzKaZJnLckDvW2T9BNO83AB/W4ztcc8wLzAfABfvAf8IQfk gjzNxfxnncT8ZzE0//E3/h/09LZ8fbG05Xx96bG+bJvyfUF9Qv4RYpwUdzFu LIzGC/MD/UZ79F+mJxj4PsJahvB9hWE/gRyQC/JI+3Pjf+zPDf+xP6vt0Q77 tEQ/Dn7/aK/SW15vUzix1FallsunFRWLxyimAw5tSjyewawFndkTvTjRsT6x XrFOTXw4XWngI+itiY59CvsW9iusZ6xvrOtugq5MkeiYZ5h3mG8YP4wnxhH9 Qf/QLy9BZzeIbkJ09BP9Rn/RH/QP/YJ8kBdyYj/C/oR9Kc1c/H3PXLQHHX/j /0Ef6iv2sW5iH1Nq0Xv3kfxxJGcRkhP7HfY/7Hv4PfiBz2Nhd1iKsDsMdgfz GPMa8xn6gv6gN8gBuSAP+OI94C/Nz4b/8DdUel0a1160v96m8cXf+H/Q4+7a 9CtY9aLuq5P/Z/cbz5h7i6AWj6q+ZPgb/w/6XUFXThDdh+hLaF4Nof3cn/ij HX6H9miH36H96hWtO72d8kR9eliHmX4fnsoCvDp5mHvdVNrob1neS3/Ihhx/ Fjp76iuGv/H/oCf/ubMgJXv+j681ee2TyTeUlPJ3K3uZpzP8jf8HfYL/6HIR bc8oA+v6meXNc155Hm2e2XN9BstcUqVL79LXlBFFJr+o+f2WctjsZlq7kW8Z /sb/g47fgx/4DKz9dGXIjFilTJ4DylW/BEV34bd/rdh3DH/j/0H3FP1X1pMe lpIe8Df+H/Q19Deei4l+7ff+HP4suCbnz6YQf/yN/wc9ScjPkoT87AnJHyf6 y1Yt5f1l3tRf/I3/Bx2/Bz/w2X5O73Vvfxj7eKvrsV1uScpuat9FjAs7KsaF FTUT43JHjCtzoXHuQePbnsYxlNr/pnFsVa/D3Gb5k1nFX6uHFC7wkE2JfmQI 6feSfb5y89aD4Nssgz/T2K0ltS1eJqWq78P78V68D+/Hex8KPgr4JBGfSqK9 Ekntx1P7eJpnU4n/S5Kz5n+8/+yj0IeynvQAvUBP0A/6iX6jv5ADckEeyAG5 IA/kgFyQJy+120LraA61x9/4f9DTxHuVx/TeJ/Te3ULvygkxDooF6f8r6T+V fveQ2qP/0Af0AL54D/iDL94D/hhvjD/GHfrB+GPcIQfkgjw1RpsHtT1x+zie 2Ffp74Yy/ZaTcamn6eHsU58L19LcXrDltO6KXRp0erZnIrt/p7XH9rTnyu+C Rbe/zZvGvm31Y6xAABtSfcWf3wXjlYRpQ4xOD8hgqbWrLtpgdYJtmjWtqW7v DVYyacLGVsHvmHvPJ3ETyx9TfMWTOa0eHxfwKoNdpXmyhvSH/SeF3tdMvF/5 Tu8tWEO8b/U2/n4llt77lfji6Uj8jwYdbZjH+ZKyvp3yOCozhkU4r/b8kjf7 3C34s8bEv7Cx4P+F+j9d6ENZRnrwov64i/4ppalfC6i/HcT/K1WI7kh/F6D2 1YhegvSAJ/TQQcinjCR5Y0jOb0IeZTnJs4TkSaXxInlVekEar6vUv+LUr7e0 Du1ofvqSnqV50vAf80SlO5EfbkXn1Hjyw+ncynrQuRX0o3/Evjy0lrALg2h/ xu/BD+17aM/jKv3q1jNXut2+w+ofeHP9oneq4jnbEPr9bBpbK/gyUyNhf3oT /0aiHXspfqcspPb4PfiBD34PfuCD34Mf+LR81aZFG7fkYz1/jRmQviTpmBof +9Fk0o9Kl1l0nbqWP6PTlOFbF6S9XPWcjab1PpDWdx9a11hvWH9Yd1g/WE9Y R5hnmHeYb5gHmBeYD1i3WMdYv5AP8kJOyAd5ISfGD+OJccT6wXrCOiK9NICe oB+sc6x7rHesc6x7rHesc6x7rHesT6xXrNNEWuemZ/k6YmdpHWHdYh1j/brS /ruK9tvO1N+rQj/MXehH6UX6wX6H/Q/7HvY1d2ldY9/BPoT9B+sc6x7rHfsF 9g/sG1jPWN9Y11jPWN9Y15WEfIppNS4ve0RyYh/5Ju0bmMc0Xg3UcyL9jfEE XWp/7B/tVfrX6KlRNX82j9i8Osqr5s9RSp0ph9y/Zp8LJi9ttn+t9TDlQun1 xuOzdiiRf7qsfvszgxm1yfRdXjs64lye1+sNC18oibQPmHikrSl784hy8rLT zUmmT5T2vevuOlbwNRucGjf01wYfpeb4jYV+N7mgRFarENpgWQazfLzQ9VfD AKV8RNciC6amKr+sDltPX/aCjZ6zN9bk4zGm48977MvRzxUSvr1hbw8O23R8 eBPd9g+Ghp9cLFn5wfXe5pzfDV7FB5cMGsYW3thUtOKauaz+12nG13Limf1r PV632Js975fzPME63Wrqs/hDBltN43pdjDMLo/GtGDvve0pPZ8Voy52Wbgk1 leBCyady+Je2X3b9YZSXcm3yqOX9do9TQvo0btQ8m76gwaG+nxqGKqv4c5ty 4WmbqOu3M9T5jfmOeY7xxvhj3KF3jAP0D/1C39DzGdJv+DKub9aG9PyZxqmH GDeG8dKR3s3EODDovzTp/d0jPg7MyFro34303lyMg/KW9A+9Yxyg/9ak9/5i HBTo/xzpfS5/eivQ/x0/8fuU95yfAj46Gsfd1zk/lY+r+D2rKvipfPB78AOf EfT7O6u18vzuK36f3FcrjyL0zIqSnuNIz4/DuX5YPOmnAemn5VyuH8VsrtBP GOnnvhgX9pvGpRGNyygvPr4sMUY7vtvK8PFiYdJ4BYrxYgYarxAaL8gHeSGn Ca2jNJK3LsnZXsjHypC8sSTn6i1if3SrKuZjOs3D7rR+71I/GpP8kBv9gPwP aH+YRv2A/AXSxHrfRv2A/C/FumKZYp0xrK8VU/i6Yh/FOmNYX40a8nXFbPgz lMXQ+pLsu7zvNZD3yY3iHoJtl+4j6lA85bF0H1Gfzpvr6Py9g/btjhQ3nLJc e1+wnuIpO6X7ghN0Lo2gc/pTnE9JDsgFeSBHHSnO842vw8vsmJtJo+Mb7yrX aBzbVj307UX/ZOWH2bmL1dqlMn3gPJ/zrdJU+TpKcU7It16K/9wT9x/6c9L9 UQeKF/WS7o886dy9guIQqdSvL0J+NsygvcfZSuf2nkKvymbSJ96H9+O9eF8H KQ6G9+H9eC/eh/fjvXgf3o/3DjrvPjz4zBU2nj/vKweLZ/WZk+cNgx2CXYI9 gh2CXYI9gr2B/cE+A3sD+4N9BvuaTmqPfQ37HNpjPWN9Y11jPWN9Y12jP+gf +gX/Cf4U/CjMS8xTzE/4VfCz4F/BLsJOYv3CLsJOYv3CLsJOwj7CPn2W/ArY M9g32DXYLZ3kP8BuwY7BfsFuwY7BfsE+tZb8BNinc5Kf4CX0ybYJfSpbSJ/w h+AfQX74PfCD4P/A74EfBPmxz2LfxX6L/fSBxB/7KfZX7KuONB5laX/FuLSg 8UgR46Puq1tpPDzF+LBYGhf4Q/CP4BfBjo6Q7DLsKOwq9Aa7AjsD+4J9/6Uk J/Z92AHICbsLOwz7C7sLOwz7e4vmZ6JkX+YJvsoFyb7ATsNuw17DHm+T7Brs caBk16B3R2ldQO8tpHWxY8CgS66bNykdrJQI/3VuisPZtc9r/M5gkPuW5H9C bvQDfAzEp63gw8Cny9PXNZ6vW6sEN05b9qD8CiXLZOyQadl0x5FJlX5VWsMG TSvwqO2RLeq82in+ZgfF/6t02D/YQ9jBXj2n7n6SsF/pLJ7sQGr0nA+fMtjY zhXGDzHrpXR8tnfq05tjmXHa/A+fsuVsNZDLyTIlOT9S/6vR/4Ne4l3q98V5 fxnwTLq6mefLFSgysGH6I6a8KJzzbKp0aLj3dA498yl/n1JSvF997/aWaR/r 6nvr5669F56/n4vhJ+Ur9vs038/MMl1f+MOmr8v+e21YvPA1pz8JHrMnpEo3 lm/hiiPe+Xspf1429/uVTTdfx3+vr9CK81P59LLuMT048Lz+m8dlR71HsKHt IkH3TKrh521iybaZnj/d3qWG0uXB2hc59GUrvn5/3XKBsmzfiU4JeYaz4qXN xsfl3L/kGftq10sjQ/6TDSLNSiaqeA07zveCoSN/blb5T7445baJZVHlZ4G6 Je9GpRmOxDBOB59rJzgfNS9uHvEZKfjowWeIfvF/Z1dWU1pVe1g2df8Tfbrf 2R88Dzkv56OfckrLx20556Pvv1zL52s8l4fVMOby6CHPIfH7SPBT41Ti94a6 xA98yjAuDytcXStPO/G3Af8vy4n3qP7e1F7VmxYqpp+/aMjBzRvv5OLyLs92 S1nvrm+bsvtq/XmW+lc0juinLCd+D36gLxO/N4Af+EAvblK/8D65vW3Q8XFH nJufwRP8Tw/dHJnhtff0mrACB7o1OKziyH46Jcyt37BpULzhZIdFgc3UvPqD PsGbN94wDSztrhjHTqqs4qFGPehcy//qiuDTO+0Htaq4TsU77IuyKGY58HmQ 37xtqc9Kf1f53Cm97UW5xLbnHCt1f/E3DijP3PS6W23rBbcp77nXz6KNyid/ 66ZrCs+fEfrFZ3PbgpXXqrgAe2fnjK3L7gTn25cWseh0PhUXYL3q6sqEPeXC TnnOrX3zYwt1XL7zfLiPwWP1bfNGm+rV9o9Dy5ydEGMVVrHmpI8Jc2aq7YPu F1h4dXatoPYSvjWE58l9tBkq8XmzKb/1pc1DQ5ZLOM0wwd8hoYaW/ychv02w JP/jlVx+h4WS/C+EfmzMzbT6adCG68c+eY1WP8+juf6tay/Q6j+2DNe/XTNz rf5P+fLxtTo6Qzu+5x7y8bUJ3KUdX7sRfP5YVDZo588FZz5/rEtGa+dPau/M YdZLvRtPWGhu32HfWjXfbHYIn5eWc0O089PLNev2uBvNg6rW+pKytEkun0Pb TAYElC0bso+eoKdYljlifbZnaN0yFW4uGd5P1cO55iFfd4//HKabUWdOfv+8 Kh5tWNciy5v4mESMNVyt65BUXcX1tF+ZMO/52R0R39vafjzfPlqlm4570rRJ nXMR1z9dafKwzEeVfiTf10F5nj4IjZZwo11Fe12Q1L674K8zbaflr+vG5dF9 l+SZbcPld3gsyb/SivfXvmU5bX/Xbed6sV2zXasfq2Fcn9b962j12eRe8KJ1 77cEt5i9+0/0G191fBt3rfwzsYRL6AJ96s+i0/qq/K0+firTYvqc8J1MPEG/ 7dignYn/j4jVPUPuBEzPq+rhRYVR6y/6ZkaWGjijcISvkYpfm/W5dL7GDUYZ wi7XCi1WeLnBi/arqd+67svsuNRQ7kahat0cAgwvXwn683Ub1w+otjN8pYQb 3Sza6wtK7ccK/voIiX/zilwep9GSPFk6Lr+uWy+t/GU/8X46Lm2h7e/Z7lw/ 9p4ttPrZdp/r06buXK0+mdeKIr0/jTjXkj975eLBQ2wDVhQ0CZ9nHG4bct0o d34WCc2eT8aRgSfj94zpkkeVhz05oy/1aqjBvYlTo5znF+qXn/GUQ25L6yiV Eua4zXtiobi9afM8h35j8GrvyIiNrGHW06HJJYOUWnYRWRXSMljgnE9TH7Ya w873GlY36cpMZfCSKqZ3c+yg/UCPdhOf6N2HTcyXlJ5qKDzxE+cfId6r/yy9 d1BRLqeT+ymtnK7neL8czQpp+1XMh+vBrpSPVg/X7HX65Qn7Q826dD9yxnSV qs/Xg8x7WCdZRlz6emFJNR9zdV1UrOH8odT2ogbv+82ynz/U914IOFS90hIb ZeXEY5tn52mijF3a7maOnF17nXYqGB7Hxg2zfdau9V2lwrQ/zqe7vWUxRce1 rFYomaU1rj15mslDxdNvdrp375csq7/iuPXGdtbEZaXdnEmblEmm5SuP+pHt /5A/9lLyx4bW5PLo76Zo5XEezOXXvfuulf+qI++vfWw3bX8jyu0pceDA4LD7 ZJdA31B5c9z5R8kRvuVm588XGKTyKVvgZtFX1bcbKu45kv2ca2j4S8hjfUmc E67vEn5+CPn58SOmNevR4LryXDdqXIeYG2xvjwurJx99y5zOOE3bsydQCUrN M2J56wh2+1qhfofPZrDKAzLMk348YE/ju1apm3JR2bnyi7/b/tfsPJ0jLmzR 8i9XkMujr7JXK0/nqlx+3afyWvnHVuD9dTgUru1v65oNe/kO3h7mN2v87fkx ruo+NrJLVPY8Kxlpqlv6vIF9kqq37l1WGlcIumD4cTxfuc0PNoTXpHE5uUbE vaMuaOOim1aUqDag2z7lhFenHsUHrtEVHeddpUf2+EY0//K617Enyq4/TQ/O GRSjiwzwW7/n1CvWuGXiywlRqWxHz1UVU05HROya3C34/aAXrC/FKxUp7jqm K5fTaZGTVs6ptXm/HKzmavuFcb9E/gLoP2jcr4txz8XN0bh3E+Ouh579aHxP ifFVTtL4fqHx/SbGV7lF42tD4/tIjC/bROObRuObQudOjO9wGt8+e7XvDaDx tTbTyonx3Rgu9ctBrPddXfn8V3Ece1zEer/3ja8XlU8yrXdnsb7U80KfQLHe 7Sfx9c6w3s/3FOs9cChf76wlrfdntN6/i/XOZtN6HzNArPdFYr0zrPc3gj8r OlnLv2otsd69HmjluU7rPfaHVv6TOrHen3XX9reJt7ALDfizl4pbmS72z/Cq Yv9UcUPTxX4bOV/st+p775BdyNeU78967M/jCgm7cFTYBQa7MOhH1/ZPRm5m 3adaH+r1PpBdTav2oGa2Xeg7V9iFQb25XWCwC8GCD3sr8Vn+VNiFUOm9E02E XXDw18oZGybswrLC2n79Irvww0erhxPCngbbCHuq4lCuCvsbul7YX1WfFsJe h28Q9lrlX8VJ+CcjhH1X5YkU/kDkM+EPqOevwV+Ef7LjCvcf9PAfbi7v8r5k 5mr92dHbPM0qBOoXvRD0rqK9frfUvkgl4W/YDtLy1+uFv1G3t1aeUp+F3HNb auUv2FP4G77O2v7aPBT+xu4FWv20Ef5e0HDh76n4pn3kF+4gPxH0ncKfDO0l /EmV/zbhf4Z9Ev6nKs+O7sJ/vqxwf1Wd5w6rhf/cuD33b1V6tJvwn4t85v6w Sp9XQPjPDSSc3S/RXpeZpW3fQvDXtZT4O/QQ/rNtlFaeEXbCf541Syv/WGvh P/cvr+3v0x1CLw92aPWzdrjwn2fV1epzFZ1bPOkcA/oTcQ4KMhfnILX9DXGe Co4S5yl1vL6WFefiQZX5uUyd/65txfk3xJef71Q5e3iJc27LVfycqO6roWRH S9fm502V3n+LOJ+Wk3B2G2hfjq2lbf9ztTiHlpL4N2onzpv912rlSS8nzpW9 qmjlt3sizo++e7T9DWklzokOMVr9JJwTesQT9A69+Pnx5JwF/Pyo5sNLcQwV XybFK1Q8mhSXyMWZauMPqpxSnEGdD1I8QaVLcQOVLsUNVLoUB1Dp0nlflUc6 16vyS+d3tb/SOV3Vz75nRjbt7JqdwRP0DIr/xEjxnxJ7xLztMEsbB5jL6920 PTdLqntzj9dpmRH65Pz8hfn/iku48PoL5cIW8HoMufGNo16xh9YnNgt5wuMn k3LrabhWNJ63q6ptZf3LZLvh41V/KYH8pIvkN4H+juNCl9tfuJTz3r3qe419 +u/buaSz3azyg7OfLqqc/zGHiNr6pTbdF/3ZbTfYS+2Xb9LQzg4Nq1r/ii2R Z01gDVUP08/emF99gpllo407da5zzP6f8QofilP4SPGKJrz+Us/QOePNNOf3 EbxO0Oeww7xuUO55v01Wjj9hEtFuQI5/kRsfGMzrVuyIuMnrWOTGE96POnVj /U2rsKRyOftqukq/+Noo3NDjgP22QovXrqqRG6dypXhFEaN74aFNH6rt+3k9 4H7MSns998tALxgZeHFFwZ8OVgmRQXEDjVU5V6zfOf3Guy72w90bzOyU3T/Q G6VbFFrcqIDtwmLnHz23LaDqQU9xiUIJ11YOSrNV9da+y7ftm1s1t+yX3H1s 4Va5caF/xSuULsIfsJbiFfZT33N/AE/QY3ndpR8RS3gdptzzvse9TV/8sv2B BfyZGx+Yscxm8rv0kYYLjW04Lt+b7HunAvWbNM22a8aNgvacrL/fkPxd0G8U 7zQ+qPVEx9/Duqz5Oy709pWIV2QUitqf2XG/wZ3aL/OJb3Iw2z/Yvm3jkoO+ pup7X1x83Mgj23/a33n+4zqljFU+K6oH+4+fNt3x0sVTFVyXTs/Vf4WSpde4 DrV/1LbNi3xdh6l6uF/e8vAq87K2o1vNfepcMXcebh4W0HV8tv7bb9QHLftr 3v4rXpF5VvilcQW15/rKPP5lHNmvTZQmDtCc15UYasAT/uHFcsUGmy2po1yd fqnNzccWigNrz/3JthWf+0ReX8HuHNqekdp4v+Jf+7Zbr+8Z7Mnbsge+BzVl Thate1ktsFM2sGuXc9r38EjL6mcyVL98yZOoY2VHqPxTz31xN69j6pQmnqo8 N48e2NF27RzHeo3rJ5guz50PeWPrjbiX7V9V+j7udMm/5s/dCv2X5PhXdpXz 54n5a74l/iNeoRsgzi9WWdrzft/ob+9zzi8u/JkbH6i4otgQs+zzywa3Uv/N yNNEifEW54vXM8e0a1rtOuu7pY998NdnSrX0oiNjjqUza7onW0v3Ztvpvqzz Iy+3jkd7snG3AsP1oT0UfcV943LulQrTvVJR6V5ptZhPTg/F/FLlyYjIWdcm jsGuqfq/x7dSj5XcPx/u66mZD/+KV1QuK86tr0215/0jDfLxc6t5i3ya+MDQ LSJPwy5cm/eSMabn+5/b/1OW6g5eSb56j5XdXWzL0Yav2TPKQ51BeakDKB/V mvJRBkv5My9+Z/mWyT6vhd5bt6X0X/qv58D3Nd1Y7wea8WqpF+e1Rj2044u4 RP1OmdvDr+ae30e0FXEJl1M21vvMzFQ9bA5eu7xVwwCDd8MnPje9L0S6vsY9 zo0uCQO3K69djzV9GdSDjSthU779rwz2lvIyoyiP15fyM68S/vCYhGN18RXn 7m6ltHqe9I+4Ssw/4gxF14jxalhSe353mXjw4K5PHoZu5ZMPrHs7Uo99r93O Yu5ucy8reHrWjjfete0diyA8RjfCd3wnXMbodiIeUspt9N15Jcuq751C8ZCT h56X0Ifk6nOKk1hfBaTz8nKyQ73ILoE+XIyvoZYYX/UcsVvMB6X8Cm3+z4O8 I329yy9Q7DwCS6REByjFtk0reOFlBhs/3dPvUIdL6tO9b6xDXOg7drjiu2lj l8az2F+1rxR1i2TzCipnalhm7/M0325K+NNPDfk81/dzzqeJkziWF+PlW+p/ i5PouvN1d27eGk/NubgAt78m4ZFinarnmn1kJ9LJboCe0jxg5KiWwwwOh+JP OJYbpp7TQ70GFSya9zQbxLreiPVIYIe8arocqJ7BOt6qXqtXUCCr9vnEp75u Uczzc8/+yQcymK7yiDxTA7qpz/Omhwr/zubDPPk+xspP4PsYwz7mcp7ve/qB /Jk7LtVEXFdn8fV/i5O8EvtwcDuxD6v+cEWxb4fWEfu22v6N2OfD7cQ+r+oH 9oCeqjzpxgUjzrYZZdhklVXg9uhR+g+kn68/2fHZGaYs5dOSTMtdTqxTr5Lx PH6SdmboHLvX+o/2Kzbej/6jjx9xlrdPKc/tGts1g9s1Brs2n9czGqrHE/oX 515jp0d8/8gdr76hIk5ytdD/Fic5Iux4UE9hx9VzwWth90OmCbuvni88hZ8Q +lD4Care3IVfEX5K+BXqe++RnfAgu6HOK+G3GF4Kv0WNbxQKsajZsuQpp/jU DveOvXystm/nwf0o/eEm3I9S95OD97nf5XSAP3PjJI15naIfuqq8TlFunMRs OvfnHPEEfVsPESdp+z/GSfoLP/PMSOFnqudNRvETY+GXqvo0FX5siKvwY1V9 jhV+b2gH4feq783k9vRnWDnhJ6tyjiZ7U4fsD+hnKE6yNg/3w1V6HaoDWF+K kywpMW9r2wArh6jy3M9X2/fmdYp26MrxOkW5cZJqfL2Z6Mrx9ZcbJynO6xR9 dnjK6xTlxknCeH2invbHJplp4iTxFB+J/x/jJPrjD8/P8Tlw8uuJd+3WRfrl 1nsR56kzmRv4eUrV/2hx/gp6JM5fKp8YcV4LbiTOa+o4tl7Dz3fnjpnx8526 Lp4H8fNg6MzL/Dyoyn+Y7OJk2nfVcaR6RGWlOMnedsFT7/a3CImP4OdTlV6L 1ykq5/CY1ynKjZPk5efQGfatLvDzr/peb16fqK3dGqku2ZP9Ik5Sb642TnKc 4iTWUpykkNiflfQsvj8rK2l/fkw4XlfyD4+Sf+go7JfSXtgvZQnZrxdWX4MX R11Srl9bXP1U9Qjlbf+v4XdrZ7BaM7j9U/B0JTv4i3BSXQnny8jviiN7eUM8 lbHUfkO/kIsFbkezihv2fry25Kxyd+lA44frM1hDa/Hewtf5e9lLeu9iktOL 7OwCkvOr8PcUD8Jn9aX3HqH37YTdpveOFPyZjvinEf9WlK+7kfJ1t5F+xpE+ LcjerSB9SvNWzVu4J+iND57U0l2f83iK5dDn2rhK3VRuLwxL7bi9MMBeJL/h 5xplXFPtucZP3M8qJ6T72URhj5Sxwh4psEdXXiVPuby9rs7mlPZ+fCbZLyOp /cVK3H4reMKOpz7k5wilsHSOmDPH73hsgxBlzPsZ33r6xijF39RbM80zg/mI e1Ll1iBxTzqZ7k1ixT2Lkk73qivonmXht1X7+xdNYNYd1y0JbJGqNDR/E93u fDrLR37afslvN+ot6J02aOmzlm7+ZX8tXjl9o1gJh6BIpf3eLZOcGmWw64NK DuuYJ0lZkG4wfhVxU/FPmpBlU/sN8+5X8voI9yRmyGjlMblYGvOyP/mjaFwq O0Z45A4Sbvo94cp+kR++ivzwVYKPohCfVcQnwu8pr5e6cNkLTd3UhQmpK3q1 fcqG163bYeaUKKX2rNFF3r5/ye5S/ZkKdbT+/DLRXulB7WtQe8/ZyYPHz0lV Mh0O+tfVhSpVepz3ixzxgu1tPqbeusoPWHSsdcMLLWNYWtzPc9+rvWEPll60 LpYSwPLOsVi679d+5jLDpVO51Ay2UdCV+NmCPpjoyYKPcpf43CU+/zp3dGkl 5I+S6sP4kJwGISczJzl9qV+tRb9YJeoX8I+7CZfmSXoOo3FpLeHEG4r7SuUa 3Vdup/vKfIH8fpMdTxP3mwl0v7lJyMO2kjxlSZ5w6tdSSf4tNE/CxPgq3jS+ m2jcI4i+muiLxXzL9gv4fGM3ab7961xwh87pL8X6Ylhfp8S6UDqJdcHK0rpw /yXW++Isrf+55LVY719OaetAPhPrlIWJdcqK0Dp99U7ET/Ja8n2GYZ+ZQ/vU LNq3VL8iXfyN5z/2PdWOS/ldKl2K26v7pD5AjNdoMV7sGo1X1ig309Cdz5RN z160n22qKBYNSlzq/fMFeyvozIfoNkT/Ru1HCjprQvQQWhfHxXxWntJ89qd1 cUbMfwXzf0fSqyrJlU8q6ZVGuwcs2q04Vwl0rpiRwTJpXcQQnxvE5wPJM4ze a0XvfS72JdbkJt+XmDPtS4NdeR6OclLk4bCalIfTp9m3bb2sryhTvj9tsezD M2XjxcVdFpV5wUxpnl+nvIu9NM/tDyVf/35om+471TWZSnVIDou8BeZLeQtX KG/h9EHRPonqlnhRe2/xXuYr3stm0nsD40Kdx5jcVcZeaN0jy/Qpm2Zxdvqv 7Hl4mc71A2k9vqb1aJs8dL6Hyx2l6+lSzhFuqcrBwSVLNspKY5XIzi4mP2QP 2dlo7yVhS+ySFIeG+XV7X55XWm821LnT7C1bT35FXvIr2pN9L0RxnstU52MC 0c2J/p7obkQ/L/gzO8GftSL+GyluFkt234vkGUn0k0RH3Yb5dC7+rufnYuUk nYvD1za/2TwxjkXtvub/uvEjJarkft3Rsa+ZX3EeT2DJy3k8gRWmeEJhoR9m KfTDrpB+TMfyuBYLprhWXoprnRb6ZwNI/4tI/05ZI3i8YtpSwb8k8Tcn/euJ fzjxRz2QQWTXCpFdO0Hj2EeiU10OZRjRv9H4XhT9ZHGi34qB+nue+h9J+lCI jvoefWme/CA+4UTvKtHfi/gemyf0oJST9NBJ6EFZTXpoZS70vMtTxG3ykx5q kZ6daR6eJT1cpfhhK+LfkPifoXk+kPhDz1/FuCvBFA/ZS+MeQ/2PI32gv0dp 3uajeduW5uFx6m8vSc/5Ho12Gtkzka0xivbPfJCqRKUPPRhcNJ0tojjaZvFk iymeFnprm09Fo0Cl8rgHA91WHGU+qyNvWDzKYHtJ/xEk1yWSZyD9Hs8VxMfo P86HrSc+3sRHd//nDJt0RXmTNzR45dpQVsfqzPIHmzPYB7LLXckue5FdXkby HBvL+SiQJ4PilsOoPeKWL4g+h+ibiX6T4tvWIr7NWlB8uxLpZ5PQDwsl/byj eZZ3j9D/cervObK/A8nfCyP7+4X2h50UH8Z5YQ35hw3IXl+h9o/IX/1MeUFz yV9dQ+cOOzp3DCU+1F92kvxDH+rXc+pvEtHR3/cdRtts7/xEiRtUdujJMrHM dU33hIfur9hB4m9P/F2J/xuhH6Un6acG6aeZ0I+ynfRzmvRzhuZtSzFvlcM0 b71ofsyl+XKX9JZ/luA/ne4X8hL/CsR/I81P6L+vyJ9UplD+ZHnKpzprM3ni 5dZHIqrTdwZSqL562Jhrs9wDdur+kJ2aSHYnUeSnsdeUf7iH8tM61ur10Wjs yYhKNbTfd1hw9617/8VhutfEZz7xeSn0yW4JfSojSJ91aN6b0nryovl/Ucxb VkHMfwXz35/kCaF8ueMkT8o9sS6WiXWh1KN1kVlTyDm3urZu/1aS8xLZ2S0k pyf5/+TPs2rk9z6hfeQ8zesQGperIm9NCae8NWfS85LmQs+PqI79EdLzutFC zw/pvZ703mNbvm7Z2qVWxDqp3sL2FrO9uhbaGxEi1VWoFF3P7cypXhFvpLoH Uy6IPNKa27R5ni5i32C/ad+oTfrxJzviQvtePtr37ET+pHKI8ic3Uv7kvqGT 15QrnKaE327HelbbxhZM9P9pXPEFOy3yKhXd+Y93H/UdpYP8GSJvkzXx1uZt 7hP3Kay+uE9RcJ9iFtnv7tEDx1hnXbGw5LLbFTt9m59OHzJY/HC/xMz/9rCu h2751Jq9WPHf8OHghWw+IVFCD00+aOsGPGkmvodRWfouRk+6x2k1WPteI/Fe pY/03iXivUoz6b2490Fdk7W0bxwQ+mFed4R+5pN+NtE4Aqd/gcZx71Yx7kMl HH2Zah+3V+tSlzWyNVjeiu/EBh5fbpMj/1O6b+12mN+3slN039qyb9aENvcH si9G/vE2d+azgTO2NL+U3b69uYj79zDXxg086dwxi+IDxejckZ/8qznkB+4j /+pf93TnyH82Ef6z0pr8Z0uK55iJeI7yguI5R8jfa0b+ZEfy9waIc5biLp2z fEhuD3Pt/UVekf+p1JfyPw+EWE7s3e8aGz4j30THjo+VsMeRY+PHvGLvxX20 4mChPU81E/cCBn/pXqClyKtUnKS8yu4iLqSPleJCuq4i7jHCS3t+3EHxkKgN WnoExUOyRDyEQW8p5G8z8of1pJ+3FM8Jl86JC8lvDyZ/GPVkjtD6ujFEe185 gNZXhJjnDPP8N62vA2KeM8xzRusiRmp/lNbFYqn9a1oXqI+EdbHRd2+3zo9u Kk71yyyvMDmGbepfc01Ph3eseVU+zxV7Gz7PFczzlAp8nivzpbwCYzHPlb1i niuY54nfeX6s8t8Unh+rJFJ+bFajXsbnDm+N8KDv7QTSdy5a0T6FfQvrrlmT kzdnvPLTPab2/tR+b/nmpZq+Ph1xmvbhJFq/Zv/56RYlzYvYLX23q1ub7hVf Nb2si3ARdvYL7f9X3POvXha0LyKQ+PxHfL7tGvdoXM29OiOyy2nUvlfxKS4B xdbpBkjfUepc78OusKejI25/0u7/i93zh5zfXl+3QGo/V+ifWQv9K9tI/6Up LhQuxYuglxQr0/gXt93UPPk9tP9vF/ubsoj2t3UUt7lC8a7yFLche8HG3hXt YS9KthTvrVJHG89ZR/bLbps2j92I7NdWyb5nFBP6CaXv8rhTf4/UFfop/0lr F5ZMFPp5ILVXyA7iHJRF5501NI5zyY6fp3EZNk2MYxjt51doHKvsFuMYSe1P U/s6Yj9Xukj7+VyxnytZYp4zzPMomudD8mj389Y0P13ouy1Hab550vwkP4Gh Dvn8xmL+G1H7k9Q+nOb/Im+t3TlN87mi9F0Ya7FOmY20Tlf3EXbHXlqPHjS+ taR4qYHo9aVxL0U4dEcJhz6U6BMkenXjtLLHN+9ih8PvnLeK2KRU3aMcC8/W W8wiYe/xhN1fPrdSg0Ld6usuSPWF/Amff13CTewos9FFN7irfkFI8J1Wzn0M v4lPoX/k54yPE3zWbNXyqUL5GLVEPoaah/Zm5ejCbp6HDIt6mN8p4TnT8OGL oCP/5E6TRzn5J07IP2m6SrTfJtrr0b7I9i6H/IOG65dYVvjTKaS6/gfyqcR7 9SlSHgjiwz5SHDVK8Nc36qnlH/aPuOt9wpvIesvqv7npHZdFBt8In3t5Xffo X/8QfF6I++XI2mna++U4kZ9vOCnl57cnf8irgNOXnTa5OJ1D1K/Tkj6LhHC9 6VMbafN2qj5oPGJ0owD9vS/OvxteXRTuQvSXU8Lj3yQM19fiOOxcvbkP4PLr a0dq5a9quqtHSNE4h0WfTmvucwut9B/avHJ8mLeEB/9Rr8meLwXWhneQvvsT kP+PTdExe8KbS/TVs/uNflHFznHCQi2ff+HBEZ9FvBZ05LMiv1W9t6X8S+Rj go58QeQPgo48OeD8QEfeWISUxwvcF/KtQEfektweOCLgikAHrgY4G9CBJwG+ BHTgJYCfAB35/asknDJw8sDNgw5cPfLTQQdu+ZCUDwycLXC3oAMXCpyoqgfC QwIfCTrwgcALgg68HPBzoANX9kNqD/wV8FjqfKB8FOCTQAcOB7gc0IEz2Sfh kYGLAE5C0puFrDfUF0C9AdBRjwD5/qADBw5cOOjALQPHDDpwtsDdgg58KfCm oANvCfwl8ruAPwQeEThE4PSGS+2BZ0uW+APfBbwX6MA1AecEOnA7wPGADpwJ cCeS3qxkvaEuA+o0gI46DsBPgA5cPXD2oAMHDlw46MAtA8eMPCjgdYHfBc4O uD7g/EAHzu2OxAf4LuC98F7gl4BnAh14G+BvpP5ay/1FHQrUpQAddSuAIwEd 9QVQbwB04OGBjwcd+G3guYGzw/067ttxz477IdwX4Z4IcRbEXRBvwb0p7lFx f4pzL87BOP8CNwgcIeQBXg74OcgPPBjwYaADvwQ8k6Q3G1lvqN+Beh6go94H cDmgo14D6jeAjvoCqDcAXB7yKpBngfM48hWQv4C8BdxT4t4S95W4b8P9G+7d cA+Ne2ncRyO+jHgz4syICyBOAHmAPwQeEfIDXwe8HfoLPBjwYZLebGW9oe7J Yyl/G3VSgHMCHfUvUA8D9KejuL9l2O8h/C/4Xer5mc7TOEcjjoy4MuLJiAsj Toz4MOJ9iP8h7oe4LeK4iN8ifop4KuKouH/FfSzuYZNE/Qi97XdRfwJ1JIBX BH5R3T8JXxca/n/qzVbWG+rCoE4M6KgLEyblY6PuDPBkoKPuDPBkoKP+COqR gI76I6hHAjrqaHQmvxJ+I+IOiEMg/oA4AuIKiCcgLoA4AeIDiJMibopzE87J ODfjvIzzLc67OOfi3IhzJM6P8IN/SPIDRwpcKfoLHClwpaADDwl8JOjAQ24I /z/HxfYf42Irjwvq+KCuD+io+wP8H+ioC4M6MaCjjgnqmmAfAN4Y+GPQgY8F XhZ8gOcEvlOSx1aWB3WFUGcIdNQhAk5R3YfJ3qGeDeiot4L6K+p6IXv3W9g7 FVcOnDlw56ADRw1cNfgA9wscMOjAqQK3KslvI8uPukiokwQ66igBfwk66vKg Tg/oqCODujKgo34K6qnAb3ETfo4yjuoNwM9B3YE3Eh14e+DvwQd4cuDL8V7g n4GHBh14XeB3pf5ay/1FHSjUhQIddaOAQwUd9YlQrwh01NNBfR3QUUcGdWVA R10V1FkBHXVGUHcEfjXO5ziv45yOuhXDpfao44C6DuCP+gWoZwA68PnA66vz jfDkwJeDDvwz8NCS3qxkvaF+FuppgY56W8D1go56T+skXD/qE6FeEeioy4M6 PaCjTg3q1oCOui2o4wI66pug3gnoqAMSILVHXYzrEn/Ug0B9CFVvlMeP+geg A5//VMo/B54c+HJJbxay3lB3bLaE30edLNTNAh11nVDnCXTUM0J9I7W/VN8H 9X5ABy5rrJR/jrowqBMDOnBBcnvgZICbAR34kF+SPMA/AA8BOvL1kb8P+r/w +MjzQ96fqmeKF636/xkvavGPeFGiFC9K+Ue8qC7h8VpJ8aL8pB/gyUCfT3gq 4KtAb0/4IuCNQO9BuBrgbEAHbgQ4EtCBc0D+OOjAJ0d10cZJgKd9f1YbV7Em HClwpaC/IVwlcJaguxL+cHhbbZwHODFjwo2BXo9wU+aEowJ9JuGF3hF+CHTg YZgUH/tA+I2WhOcAHXhgc8IHgz6QcLDAxYIezwQutDfhRLE/Jwxs9dEk0C/i Vhefgn/HVRwI3/WO8F7gA1wTcE6gDyHcTknC8YD+gHAmIwl3oupne6GEHFzu 5foFB+TgdO8Trg04VeBWcQ8LXFmqhDs+SXgq4KtAB14I+CHQ6xO+JZrwLqAD f5Us4XbLEr7oHeGN1PcSHqYt4WNAB+5olIR7BU4GuBnQL9B6S5DOKagXMEQ6 X/iE83i34UY/Ef9G3Bu4buC8cT8FnDNwz8A7A/cLHDDwv8DNAkeL++izhOcc WlDgO00oPxD4RuAdgXNs+6mP7wmPH/pf9vmvzCxzRz82NpHLCdwacGzoVyzh rBYT7kqdt4QL2kk4IdBXEV51oIRXBc4fuH/QgW9/Rnh35BUA7w38N3DfwD8D Dw0cNPDDyCtBPl73Re9K/ZgRxVwGLbDqGBPIRj+MjuhzIKc+tshXAK4ReQg9 mwqc3kfC7eF+BLgy4Mwg/1PCQQEXBfoZgas0ZAmcpYqvBF4d+HXkaWTcuN4p Bz/Z7kW5UTl4yrqEo9xP+EA/wguCP/BswLeBDvxVHsJjgd5I4GAN5wUuVvWf kY9iLX3XwJzwhw0Ijwg+jwkvZ0L4OdB9Cd/lQ3gv0M8R/jyN8OigA18HvB3o dQkP9nC/1m8E3nuQr9a/akb+zxHJ/xle/ItpZ5dIJeuN65QPM+OVT75/pj+3 zGDAfQEHBvwXcFnAaQGf1VrguNglgetS/iM8F/BmwJ8BdwacGHBjwIsBxwVc F/IzdxOO6xjhuiYQngt4LeC3gNsKpX5ZvuX9YpnUL+C+gAMD/gs4Ltkuo66Q fP8FPBLwSZgPwCMBnwQ68EjAJwGXBJzPXen75sD5APcDvA9wPsD9AO8DvA3w N+o9OOFbgL8B7gZ4G+BvgLsBvgt4L6w74LuA9wLOC3gq4KuAqwJu6pj0vUvg poCjAn4KOB/gfoD3Ac4nTPoOJvBywM9hXwKeDfg24GKAKwPODPgy4LKA00I8 SsVxEb5HxXMRzge4H+B9gOMCrgt4LtRVRJ1F1FcE7gg4JOCPUH8Q9QhRhxA4 IuCKgCcCbgc4HtgF4IjuSPsn6nWififqdgLHdVX6njXu72U66iGiPiLuBYBr uiHtk8BDAieEddSPcEZ9JJwR6kHL5wjgi2Q+TvWF/MbttPMfeCHgh4Abaina M2epPfBCwA8BNwQcHXB1wNMBRwRcEfBEwBMCXwhcIXB3wOEBfwfcEXBIwB8B bwb8GXBnwIMBHwZcGPB7wPOBz2ziP0aiH9PGvVX8EfB+Kv6P+gW8E/BPwD2h LiTqROKeAngz4M+QTwi8FvBbwG0BNwUcFfBTwE0BRwX8FPBRwEsBJwUcFHBR wEMB7wT8E3BPwDsB/wTcE+q9ov4r6r6iLirqpKI+KvBRwEsBJwUcFHBRwEMB NwUcFfBTwEEBFwU8FHBTwFEBPwV8FPBSwEkBHwW8FHBSwEcBLwWcFHBQwEUB DwUcFHBRwEMBTwV8FXBVg6TvHQPn0lf6rjHwPsDJADcDvAxwMsclPsBTAV8F XBVwU8BRAT8F3BTwQ8D1AHcULskD3BFwSMAfAXcEPsAfAV8EvBFwRsALAT8E 3BDwQsAPATcEXBlwZsCXRRNOIww4M2oP3BdwYMB/dSa9HaB5ZUp6A44LuC7g uYCDAi4KeCjgoICLgt6AbwHeBTiX0oSvaEB4C2/CWQBfAbwFcBbApQCnAnwK cCmrST/ApwCXApwK8CnApQCnAnwKcE3AOeG9wM8ATwMcDfAzwNMARwMcC3At wLMAlwKcCu65gEsBTgX4FOBDgBdBe+BDgBcBTgR4KuCrgKsC/gR4FOSpAu8B /Ienuu+J8QIOCfgj4E+ARwEORaF59pDm6TnSP/BRwEsBJ4U66aibjnrpwF8B jwUcFnBTwFEBPwUcFHBRwEMBBwVcFPBQwMsBPwfcHPBdwHvhHAHcGnBswK8B rwL8CnArqAuPOvGoDw/cXag0LsDLAT8H3BzqbqMON+pvA+cG3BvwbsC5AfeG +Qz8DPA0wNEAX5chneuBr3shjTvqnqMOOvIekZ9dWjpHID9bzmNHfjbytZGn DTwA8AGIwwAPAHwA8vyBBwA+AHn+yMNGXjbmOfL4kdePPGHk8SOvH3GkPZQ3 XIDynZE/DBwUcFHoF3BQwEUBD4V8feTvI28fef/AASD/H/pqKeGVkK+P/H3k 7SNfH/n7yNsH/gp4LOQVIy8fefqgo3496tkjLwL4CuAtoH/gK4C3gP4zKY95 wjjPWiPnmqv8ke+u5r8THbgj4JCAP0JeO/Lckd+OvHbkuSO/HXnnyENH/jnw S8AzQZ/IO0ceOvLPkXceLukf9fpRvx91+4EnAb4EuBL4LcjfR94+cAjAJQCP ABwCcAnAI+B7AH0lHBbq6aO+PvKcn+2JjHXv35M5Bu6zLFq6tzIpz0zznHPc MsIpeUt4q5n0/a/l9P2vrvT9L+CvgMcCDiuEvu/pRt/3fETfs/Ol/fObtH/+ Kw4GXBZwWsAZnRTxcP0PKR4OnNIOKU4CnBJwS+ADnBJwS8ArAacE3BLOF8Ap AbcEvBLwVMBXIW6A753g+yc4v+A7H/juB865wBcBbwScEXBowKUBjwYcGnBp wKMBpwrcKvCq+D4HvteB+QA85H7ab4H7q0v4xn3Sfgt8o5m03wLfGC/tt8Bd AIeBfRW4C2/CYWD/vE55XLEij4shjwvfEcF3RfA9kdaEh+wlxeeBhzSS9iXg IZdI+xK+34DvOeA7DsAxAtcI+YFjBK4ReEbgGIFrRL+At3wr7QP4rsl5aZ2u JhymH613jEuaGEfWRxpH4JGAT1Lr55D8wPFAfuB2gOOBXQNuJ0qya6vpu4qr pe8qAm8J/CVwl8CrAL+C/fzq0lf8O4bxU55qvmOYf4T4vqFLiPb7hl7lnFst vtSNtTc6eapmYjfFcfDigjn7UuGufwqcGunD4naddJ01aL2S9KnShzvZ4+4n 6vPqh4t6vWq+bqEShcbNWGjEhm8Jqrhu7xvDwSb+nN4kRexvrIx2f/v8rt0p S8vlStyxkaMrXB/FdpbP32FlNt1J3NdEtg0WuBDEi7p/5Pc7hk7ifseA+51S KaduvC1gpVTv99gwq15ZJV2/P53fa3zkeIzIH8UFPkON8z8T/Mee1d4Hvaa8 x1Mi71HFm/TfKfLrrvp4HlwXkO6I/LQ55IdE5tfiUIADAS4E/PGdCXx3AvwH PODyM4/+XH4G+duaCRyLbpLAteC+xiDwPAbge4BP+Vc80FTgdgzzCccD/E6F XSLv7u4abb/+ha/ZQ/zDJf53Fx1adSzaJqK9ZB+B5wG+B3oAHgb4GNCBewEO BvIAvyT3113oRz9b0s8wgdsxAMeD9v+KiwLXFCXpB/ifVxIf1NPPkHAiDaje bpE12nv8HnRf6CHVXUf9/eJ7tPn8s6iOPOrKgz7GWNSfbR1+tPTf9+nVqU7u EKqbq/KhOv7zqK4/6KhHP5Lq04OO+umopw466u3ulu5Nwul7qZul76XiOwH3 6bsB4NOe6t23o/r3oM+n+uzLqF476NXEvaFim87vDRXcG+J7A4Po+wNoj7r5 qKMP+hRRn9RQVdx7qrgw1Dm9T3VP0f4pfbcA3zEAHfX3UY8fdNT3PC3lFU+h /J7DUl4xvn+A7yGAjjr+8VTXH3TUCUXdUNBR1xJ1LkHH9xLw/QTQ25I/HCSd Q/EdhYL0XQW0t6TvARSg7wOA/lDc07GhdE/3lu7p8N0FfIcB7fH9AA/6ngDo 8VTvfjnVvwf9X+v0X/cU/jt4XgfLbMDzOhjyOvC9B3z/Afzx3YKG9B0D0FFn H3X3QUd9+VtUb15tT3kbq6U6uvmoTvQ+qhuNdTqA6iYPojrKaP+A6gXXo/rB oDek71JMo+9UgI7vK+ilfDZ8DwDfBwAddfBRFx/0EKoLn0l14tV5RXW9R7XT 5gGupTrXuvLae2rUfUYdaNATCF+G+sfqPKQ8QNT3BR3fh8D3IkDH9wzwfQPQ baiO/x2q6w/6CKprb0517kFvQvXfW+m1+XWoVz5ZytPb8I88vaeUh3biH3l6 P6U8vV2Up9dcytObSXl6a6Q8vXIir0OpIPI6lHGU1/FquvAPrUZr/cPy1L4k 5YGg/XW6d4+le3jUcV1M93ZLpbqmqFuKOqa4l1xK9QqnUf1C3M+iDhrqoqEe WomVIm9nWlUR50ddL9Q1Q50z1DdDXaEAqjOE+kKoj7OK6uWgTk4oxZd3Ubz5 MsU5N1D8egHFs5dQHBt1plB3CvWm/Cluk2K996db0OmIZIpjoJ7C7Ukbt3gX W6fiINQ6AkQH3iGY4iHRxOc68UHdENQRUfNw6PzfQapbgro8qNODcwfqHayT 6BsFvp0VFXh3Fede5RzHpes3lOU4dRWfnhUm8rj6ijwuA/K4FhN+JGF0q5h2 8bl+VzLhtGsP0OZ9tSL60f5aPsAnryW8MubVZ/KT4qTvEO2OF36P3Vrtd4gY xy22PXd5aAXNd43jvQ13C2X7EwOaub4u8Nd3iNJcvzbLu7tc2I0tHdvU+es7 y8JPsAjbNL1em+tuM1T6oRvfah2MdwlxkPJLw1YkeK0+VtDhTJ3to5O/WKj0 4WVMpo08OMHegeMmcvPomsWHN1lX0dluzzX37GcPVc4H7w8E59g/86SsdX9/ hyjZ5phjl2/1rW9KONnJtB6nSutxbLTw/wIPaL8rVLxj0uccv+1D9R+z/v6u UM11NV7Vy/ar1jR9e8P2r+8KfW+zr9LwEzsiWsbU33S5Te53hSYbcvylMxHJ VY9ZPXuTqdJH/ahe4mPi7VBXCV98dGTRwSmFPjo2nvX6gvEVY7X9WdMZP3eP f+7gUnXBvPz+H3L9+fVp2ft8W/uN+6tk7/Odc78blWia8NbcxJaeqt9yifLj SU+qfuLnpdrm+KPL3Mtc+/v7Po8+VroWkO0vhrbIsDz1l//2WVc7tFjhUYYW 8xuXWfjVQ8XZjWl/P9v/m24oli/ujt+uE4YKHwk/uGDTij/Wa8PbSjjfBos9 PEz87+vWPJ6bFTD9qdrf+/FXTY0Gj3R8JJ6q/leJftpTv9X+mol5YPNEzAt1 PkSX7l3AJduvnRX6psKnbD+3TXw77t+eqH92Wk7e6UnxVPtLcuhshVy5340S endQxDio+ne7zuelXYFLfJ6q8zO/sQf3VyocTNXkndrO5uOqWz2Kj7PaL0eO 81xuf7ksXwe532NqK/JOi2/W5p32rcfXj0O+VXw9/T+/V5Kvrzgv/S6t/Y5G v9fzDxR9tdHQ/t24rw9fTNdb/BbjEqutl6jWb6z2hrfXl8vQtr9Qjc9vnaLw +Z5bP38m3xccRJ6jhSrPv75LsrpIiYI556smFu5D//4uSc2tZ8r2mNNAGbvn Tw3noGosdfzpzJz3rn+1sdwQz2hlrWX3usq8s2yJ25jahzZlsI9kl/OJeuxs BNnlaMGHXZX4XFnA57F+lp7PaxUXtuI8X8+6zHZ8faty2mzj+6DD6aF8X1T7 da9asx3dGw0zTIg/2NmyaG6epAvZowGSPRr44WPV7HnJ4nYOLpY9T5kVzc+H zny96Y2y+PpT9TDYku87ut8b+D6kyhNmzfdr+0xfvn+r/pKrkMMQLeRS5aky na9zpyYL+bpX+TSoxfc7x5DOfP/LxU2M4HbCrgfHP+XmZ8aIcYosVpSPm+pv px4S+ZmfzmvzM8ttEPmZkxK0+ZnVy4r8zF79tH6vh+P/jZdpTnmbp6S8TeBB pkh+JuziZyme8IvWA9YH6P+KJ9iTHd0Vr40nnCH7AXsC+tUJU/k5pVbLycX/ jifUp/m9guY72l8hewz7DPp7skOwS6Bjv75E+zfo/cl+XyZ7Drov2a1aZMdA P0f7+0Pa70H3fs/npxK0g89PBfNz1wPdic7Bg/UBq4oUO3ygnwFxm+vkH6SS vwA+rcguwk6C/oLsxx4nYU+w7rpsEev92W6+ThWs06vDOptV2XCWTeubrvv0 +5iy7q67//i7GcyY4qJDpbioKc3L8zRP8d7N5K/Af1HXL9npKWS3Qf/5SuyT RmKfNGDfm2on7gW6VtfGpeMpPyBWqgPsTHHsClIcO07sw/oEiX9vWg9YH5Dn X9+rgr91mPwvdd8gP2Mk+R3quJA9njaodfDblNzvgP+rniTijyuluCXW53LH /+373efI/4sifxB0Hfl/I8kfBL0e+UNHyD8CfRf5hRbkJ6rzn/ykIPKbQF9L fkY98jtAv12G+wmsfRj3Exj8hCrkXz4kf1NdR+RvWZD/BTr8lRTyX0C3I3+C 3q++18gojfwDD01847JYD/oaZJcQT8tD9kC1D9Tekvbx6rSvgw4/GH4x6EPJ L3QlPxF0G/KrvMjPAj2K/B7yP1V9wo+xIb8GdAP5AXHkF4D+nuzoKrKr6voi ewb7ps4TskONyC6BDrsCO6OuX/JrL0s40EfkF5YjPxH0POS3jSY/DvT/yA9r TX4Z6Cbkb7mS/wU6/Jvq5O+AfpL8A2vyF0CHnYbdBr072denZG9Bn0L2svwG 7fduzpD9s5W+dzOklPuUR5PPKiHzP5hXWBCt5FnktrJ6Tr1ZQWffBZ39Xijo /bM8+T57fHCecjn7Lvbb47R/nSJ/8CLtY53Ffscm2Wnr0a0gf2yl8McU+GP1 H1SoFb4kXvFyjmga757EWmwo2Xr2uzes1phbC1+ZJim2ow5/mfXwkpIwo8qL PJlvWEG6p6wm1etz/szlZOZDuJyq/zaWznWjpXzpRYI/2y74s7PE/7KQk90n v3EhyXmG6pKsC0y0eH5raUQs5bXep/08kfxh5H1dKPnUEPRiWcQFyoMNpvbf U0R/x4n+Kh2pvxOEHlgK6aEh0UeSHsaTnBEkp57kH0f6iSP6aRqPE6izTvK0 pbhMJ4rTrKT4DORDvyDnZepPEvUvlPgYk9+cRX40/GeLUqK/0BP004He14be j/faUz2daj/WvZtlfShiA+WTpFJdkom6mKmr6q7UmVAejv2ltISV2X+vlvJz 8HcFqX0TylM59l3w30n8o37vL7yyxMGIJlIeyxLKj+kh3aP1J7/cRcobGUT1 bFtSPdv/qJ7teVov3V218/ChoLNlrtp1pNB6/COtuy7kN0yV1pH9HyE/6hGt J/nXkH6eSXVdsA6Jn7pezMjPcJbWUetg7+ptjI4zs1IxjQzrzyp7xkVvyvGj 1gl/Tj9Y+HeqX/dd5D+w91L+Q3FxDjQY07kQfsu7FFFHwKyeVc+tbRaqdf/6 07lxmNS+dm3R7m2Ktv7A/wfF5Vjr "]], {}}, { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic, Automatic}, FaceGrids -> None, DisplayFunction -> Identity, Axes -> True, AxesLabel -> {None, None, None}, AxesOrigin -> {Automatic, Automatic, Automatic}, BoxRatios -> {1, 1, 0.4}, DisplayFunction :> Identity, FaceGridsStyle -> Automatic, Lighting -> "Neutral", Method -> {"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotRange -> {All, All, All}, PlotRangePadding -> {Automatic, Automatic, Automatic}, Ticks -> {Automatic, Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{ FormBox[ StyleBox[ StyleBox[ PaneBox[ GraphicsBox[{ RasterBox[CompressedData[" 1:eJwVV3k01O8XTtkKKVuFlJAibcoSelKKQim0E6K9UNooydbX0kKytNijkKWF hGzZl5mxzVjGMtvHmKFCSsRvfn/cc95zzz3nfe9znvvc51V1cT/kNm/OnDl1 ghASxP/PPy2KjV9p90IvZyhLgVYE5uyjNzb0fjSFUsQ9jtFx5a1popVoMaYL xz3d9AfwppHTtvNBD9JSYp/6bymGvNdxI++IAQQunE6U/9QN+qvvwZ9dirF+ fZnwY94ATtksvjzI6IJ87B7vkSfFMB/UaE7ZzYBR5GrDokVdsI58dVm9tBhO yWExnxMYWNJmJPJoeyeCwsedjg8X4/bJn05NkwyMyh+kOF2ioTjY0u6JUgki FY5oMWyZaD5y5pXucyrG/ZLNq/eWIJNcPDbxjomMOJ/zorUdWOczuW36Zgm+ ha4qkRBnIaj7ydbOX+1wvW6zfnNaCXrN/gte6cKC0/I0oSy1drxwT1c911aC iZnhA1uLWTA+VdTke7ANredn5OLnfsWiQttl+xTYWFKkuK63rBXv37p72G0p hYqJ/Y8kNzZGN35TrvdsxYuYf3FVH8uwKmy0zTiDjaa0y1L5q1rhcLxyyolU jtWdjwupI2ykKy+ZSWptwcrlIQ7T3ApoaerEX9XlwD+ybORhYAsYfftLY4S/ Yf31en+pWxw4iF/ou721BanJcqq6K6qwufLs2TfFHOj7ypLdOBScdevybzas hv5iEatdQgRkxovLDsZQoLUmkXXergZGp5I39u4mwD9/Js/EggL+kNseEfda 4B3kb4cSqOmTTl47SUb2O+03iSF12DXVMylLIpBsXxgpn0GGh8fP+cap9TDf 692bLTuIOw0uAUInyNisW3CR+rUBljFLKvceHcQRU0mvYQkyfv2603S1sxEH 2B/TWS8HwTLcXK43jwxZhQiDaJNmaEpUhKQVDYLhmqs85xcJm/RepxQmkTBn E+niua5BTNtP50cySdDMPPlgxJ8M2uEea63JQSwxtzio0ULC1iKO8ZytFOTd 4W7gL+Fik0EUr6CMBLMGj9HFBAUhyROLs/W4sFzbH7QvhwTb7r/panEtcK6d N+5uz4Wb4rqV9FckuPACHbZatmLbyKKOTV5c3JO49cU9nATPqYWy5v9aISOn 8nkskou46Uq7uT4k+EnE1R7NaQPPUPv5pzwuPg5Lf486T8JjJTXfC87tqDxl cOcmmYvm3hMhmkdJeKn9TveObAdeBO12NPzOxSApXe3LHhKyjPS5D6s64JV5 aMeU1BCeVW3wJ46TUCLVK1/nQQUp88dy3tIhdJSOpeZEkUBJSirUkachO3jF b/FFQ1D4UlBzs5kE9lY3h8hCGh467yevFhuCdpfJrxXCZEzWrRH67dCJS8Z3 35rNCHCgJogKq5Ih6chPPTG3C5ZLsvxdfnFxqU1o6aAJGStHcyzK0rqgNdp1 wo/PRTjl9NrG42RsCb7GV7fsxvym+VvjmVxkNVdty71JhoWi/pOQ790YTDdY WNzFRWODplVUFBkO2X91R572oNr/LNFJ4YJfG+JwK48Mz51fqYcM6HjtEF32 u5YLqWrelZPNZAR23Pcp6KEj0KAqTr6MC51Ka78dPDJiL+xeoXy/F6dlx6/q FnBhXZYToS5OQdaMeKWfRh92jqyyOpjNhXPluOF+Ywq2WZrUaaT3IeUkLVkl iIsb1YaMmx4UsBo+n3WT64dIw8NJ3gkuQut8Q5NSKdAebRnSt+/HGcNdNoWb uYhvrNzcQKPg6tLhywui+1GT/icteD4XH0ji3eOSLSjcLvazp6MfaxWy/9n2 D6KmxTpAxbQFc9xUvXKWDCA08LSdasEgetojtS2ut8A8zOj3/aMD4I0uzRx5 OIjvNGqr59sWPMyz97aLG4C1c7NQsesghHuU77ygt6CN6v5vddcAskkBR0OM BrG0z1m9anErlGZC/CYVGVi03TDnsMwg1jHSGkd2t8JFPXVe4wkGPLNGRNS5 BEzZPK+l3q14s+9rcPxLBloUU0/+LCXATlqr+L2gFYp1+tvF2hj4uyefFx5O YNlSp+Krs634lLBIS3QuE8RGjQ8T+wlYP4p2nNjThoM3uPIiG5loV4zydlpM wE+4aY73ozbwrSqEhB2ZqBCet7O+lYOP3vNS/rW34YHai+G54UzkjnjO3xLN weAPw933l7dD7e+1TqEvTMTT+smvjnKgfNaDEHZrx1eyVdWcQSbCKg7Eiilx YENPC/kvqx3H0zXyZuVZuJ319ZQnnY0AW7q25Hg7xu/OvJzZxcLZaB3N7gQ2 8utkmx8bdeCJHfW/f54s2Pm9HDFzYWMI+zxkAzqgrZ3rNZ3Aws4LEvnZ6myo 5PvJxNR3oEYoxGmqiYWNdt53lxIsHFpX8FFRhgoXmrPV3ykWlm/nmvm/ZeF8 rkaR8GUqbBVIQ+sV2bD7wRu95sqC35ao8pEaKszsjENOG7ARljyS6LaChdjP c2tpq2jYGvlWM/YwGxV2P/cf6WIix9izueIuDavJCtWNXmxMio5PWzxjorqs ry2LRsOShYGuQk/Z2FA4kbHNhgm62f7uaN1OiFv9nKuXx8aZi5NH10kwMV5b POD3qBOTIY5JF0hsvFo+LapSzYCktfbgBW4nhmoakDDMRhtp5qP0fQZWUeJG 7My60C1i2NsqwYGkv9BpIWMGDO3Ff21P6ELjrrQ74loc7NoivHhsYgA2nTem 1vztQvF9WSUTCw68OaKlrLwBnHNgC8nadyO71K/Q8wwHubHzL3dcGoBziFiU dWE3+hidjV99ObgSRvrxZu0AtjvQ82ire3CIp2KvHsHBh69H950c7IfSpg+k 01E9qBo7TQ9J4eDPz4EU6fR+/BYOGR4RosNg+o3b908cmGhc/Ffh1o82mqOE tzsdmcIjw3a1gr14dPzwDfV+5GVtWStCp0NFSvfGly4OHi2ZcrKt7sNDvwXm T/b14on8rZkVwxws9ZWS+7KrDxfs+l2VPvdinkpJcNAsB8msFTUry3uxe02+ f5pAR26snivNE/Bbx3Kz94PtvVg1HZa46WkfuOvNY2zUCeTnmemMFNExS2w8 5TinHyf0w1fk6xHYsfRIv50hHSMUpRE1/X40g5KutJdAve/5p0X5PegpEr3L vdwPUwuFjfdPELBj++xZtaUHzlL+dpmZ/ajPzlIKdyWQ4hO17L/abnAc/2lf 5vbDTn6XWMxlAqOL3/GHT3bjYu6teRs0B0D36RxNuiG4901Vqe3PLvwQGu/6 4TqAMwz33qx7BB5v740sDOrCDVv39++TB/DdQrS+4D8CvW0TbisUuzCVOhTi 1T+A2zkvP1VECPq9KG0YlN0Jvwk3Zz0VBuYq6CY1PSfgI7RGkrezEyIWAwZ/ BPoSdqcunJYi6CtmR58NlYbQuJOLvsQxIM88dYuZJdCR9cfe51+kQZpHJXyo DMTvnTg98onAuW+eQcpzaIgyti01kWdCMzf8wORXAZ7HQ4/6R1Gx7FFz9Owh gV4oqBkJ1xIQ+ZmsPbiGihs5V/l1EUxsMqtfrd1I4Acrg7W2sQOZiSh7SRH4 OwN/mSsNBK7rJQeY+3agP0Iyyn0xC6t0ts3k1hOYehC3ym1jB+QCOs/uPMjC C9VR7lgdgYDOJ+X+jHZYeKUZyUewIKeQ0a4nyItr/+eUGNWOu27XpAfJLIQv cCm/LXjPozv3Zkv2tOP94R3ML4vYEJld9q64hoBs84347j9tIMylCh7asHF3 jBI7W00gbsUVk8mMNigbdoU6PWFjgggJ3CnIr/B061FwEOipVrqjLpmNKz2m HkFVBFIrTvpskW5DsJLXZtFFHBDkyRO13whoydkpHipvRZGkqWjnAQ5OVeWZ SwjyOW6Whe7XWvHjn1RX5mMOaIXndfdXEthasPPoQ41WXFA12m9fz8G1MJkj OwX4h81Rg/VYC5hm5ypmhAksdCjy1ksnwNg7b7VUeQsczj3TewMCb9e7xmvF ETB4ypRsetQCalhFxkFvArvmSFWohAlw6KkcCz/ZApuc7ypTHwV8onxiy9wl wNJI7bLSakF9i/LT1O8Ebqc4zhdzJ2DkHlgu+YcCs4m9Yvu1BiF3XUxnyolA xGfXN41VFJQsu+nzW7D3cvbk2nw/RIAQ2v04/CkF+iap3xMTBrFv6TEvphkB E0uNG1bOAn/nRDm9T+AH2VyhWKpg7qKiRBwkNwh8beAMdUyOC7+ijKKGNQSG 6OxdjdNkpKZrW706wIXiQ9u+UkXBvGhWa4XXk0HXPCcdFsDFfuHIdfrzCMhR 3FYGJZHRLvxRtSSXCyXVMymbGByc6f6mXnCfjKaBWd3vdC64JtsU15Vz8Jmt tpbrTMa3r5Z7VCWGUHB8YcTqRA4W/PDXUdpJRsmLmKO2BkMIvMkQU73HwYm/ A5usV5Hx6RbzQpDbEA5G5fsqOXLwTthU795cMt7Zb7hbEDkElbzQX/ImHPxb vuO6SxUJaZt9HnNLh8Bvcry0SJmDxM0zd6uDSIiXrklSGh5C4dBm5oIpNszM i4O1BD4ymi/z0VqRh2AxseMiXWwQJ7wfPxIl4VGdY/U9cx7s1LvJs5/ZCPUw iB2tbsaDtAxanhcPqqY55n9j2NAJmkg8/KAZ9wImhphJPIw4BHwdv8EGOe7j 2y/mgvq1cZ9ufuHh68FgkUMmbNRqWK3cLtuMxyQjP4lWHh7tDrHKmcdGeR4z ury3CdHXe/cl8Hg4ZRj+VLKehUITH6ndGU2IV7ovryvMxwadx13nn7CQVycT WHu9CWnlav3VynzMroxUrTnMwlv7jL+Wpk3IPludcXwrHyS5Z+fUl7OQPGDq SZJsQr7U+esj1nwkiMfm3Gcy8fxyJ3GI1oiSDxI7/M/w4TH9fKL3LRORkx6O HSmNqDqWvUDhHh87frwyMfZgIjRIvP2YeyOaZm3a38bwsYiVGBinx0TA4kRL +rZGtL8eSzDJ5aOfmtIwMc2Azyv9CifRRvRYRl+g1PKR25AmY1fJwLW1JAMW pQFF81WjPrXzoelcM2VxhwFT8ujnezEN8Oh7qjzUwYdZrMiDdk0G2BHJO3WP NGD1J9HXKjQ+nEm7ZFxaBxBie6iRo9CA7tDbOradfPiK+r8a8R2Ajvzcw887 6hHhxP/0oIuPeJOyNT5aA2jtyOuzjq7HHr1T24u7+SjymvkgJvClN2Odzwsd rse0REv1jx4+aJnGiLov2LvHF499lK9H3oDZAY1ePn4xvOtX6vSjVKn8zrn2 OpwtKKAe6+NDY8vVzON5fThN9xBVflYH5YdaTo/6+YL/+Uj5NfE+iCWsfEKy q0OLy6vBigE+ni+6SAs/1YtMJ/KyALk6PDBY5PmbwUebLzHyOp+OA6v8UvTa amGyMGBSm8WH9PBpkVIpOsaYG3SGntbi4mvCYryVj6VGajsXGPXALGx+yQ7T Wjw3tootruRDNYTha3+uG1GbmVYxIzWobc0lAj/woUVNKkp81gV2Z3HP8Isa TFyQ17dO4UNXw/kPr6ITevejL5ntrYHGXO9g+ad8GF9buVX/Bw0P1vyfGdWw jettp/vzsbu8z9N/OQ1U0t7wnynVuL9xl0baVT72SydkN+2jYs1NNWWLg9XI qUn3uuLCxxEHR97SWx24rfIvM36mCr2Okt/0DgnwyVy+xvV1O+qrOox+ZVZB csJDdtaUj/OTPa45LW1QvJzbYHmsCtsetrvUbOLjqvnLpL8C331RLvREsmgV zqtve/9YlQ+fZyd6d+u0orjoNO/Ph2+Yv07YJV2Gj39ONIucYy3o5K4J8Hb7 BuVU3asLRfiYfCszoBdEQUV85ypNpW/YoHza//pvHn6NWt3+mktGpm1oRSu5 EqZRkZE9XB4YNxeqhX8mIUrcyMUvuBJ2khXJu3p4YM0PsH0hLZj/Ep6QjnEl zgb+fJ/RzEPPi98BGWcace7qy6TOnxXwnl5ZubichzadSx8LS+pxUNPaNDi9 AuFeNq23PvDQWNrPqhXwYFvPv/7NDhVI4N9j9r3mofKgvTztYg3UIrL9+mQq 8N41Z2xPLA9FzLrdRIUArz2nVobXlqOqp3dedigPH65vvzGx7Bt+/ZUuM/At B9VuoZz8XR4yxD6kiXhWoDen7BRbtxxDjSbqd9x5SI7TpMrVlqHG1XM2gluG /wEdeLt3 "], {{ Rational[-15, 2], -75}, { Rational[15, 2], 75}}], {Antialiasing -> False, AbsoluteThickness[0.1], Directive[ Opacity[0.3], GrayLevel[0]], LineBox[ NCache[{{ Rational[15, 2], -75}, { Rational[-15, 2], -75}, { Rational[-15, 2], 75}, { Rational[15, 2], 75}, { Rational[15, 2], -75}}, {{ 7.5, -75}, {-7.5, -75}, {-7.5, 75}, {7.5, 75}, { 7.5, -75}}]]}, { CapForm[None], {}}, StyleBox[{Antialiasing -> False, StyleBox[ LineBox[{{7.499999999999999, -74.99999999999999}, { 7.499999999999999, 74.99999999999999}}], { Directive[ AbsoluteThickness[0.2], Opacity[0.3], GrayLevel[0]]}, StripOnInput -> False], StyleBox[ StyleBox[{{ StyleBox[ LineBox[{{{7.499999999999999, -74.99999999999999}, Offset[{4., 0}, { 7.499999999999999, -74.99999999999999}]}, {{ 7.499999999999999, -44.93987975951903}, Offset[{4., 0}, { 7.499999999999999, -44.93987975951903}]}, {{ 7.499999999999999, -14.87975951903807}, Offset[{4., 0}, { 7.499999999999999, -14.87975951903807}]}, {{ 7.499999999999999, 15.18036072144289}, Offset[{4., 0}, {7.499999999999999, 15.18036072144289}]}, {{7.499999999999999, 45.24048096192385}, Offset[{4., 0}, {7.499999999999999, 45.24048096192385}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]]}, StripOnInput -> False], StyleBox[ LineBox[{{{7.499999999999999, -67.48496993987975}, Offset[{2.5, 0.}, { 7.499999999999999, -67.48496993987975}]}, {{ 7.499999999999999, -59.96993987975951}, Offset[{2.5, 0.}, { 7.499999999999999, -59.96993987975951}]}, {{ 7.499999999999999, -52.45490981963927}, Offset[{2.5, 0.}, { 7.499999999999999, -52.45490981963927}]}, {{ 7.499999999999999, -37.42484969939879}, Offset[{2.5, 0.}, { 7.499999999999999, -37.42484969939879}]}, {{ 7.499999999999999, -29.90981963927855}, Offset[{2.5, 0.}, { 7.499999999999999, -29.90981963927855}]}, {{ 7.499999999999999, -22.39478957915831}, Offset[{2.5, 0.}, { 7.499999999999999, -22.39478957915831}]}, {{ 7.499999999999999, -7.36472945891783}, Offset[{2.5, 0.}, { 7.499999999999999, -7.36472945891783}]}, {{ 7.499999999999999, 0.15030060120241048`}, Offset[{2.5, 0.}, {7.499999999999999, 0.15030060120241048`}]}, {{7.499999999999999, 7.66533066132265}, Offset[{2.5, 0.}, {7.499999999999999, 7.66533066132265}]}, {{7.499999999999999, 22.69539078156313}, Offset[{2.5, 0.}, {7.499999999999999, 22.69539078156313}]}, {{7.499999999999999, 30.21042084168337}, Offset[{2.5, 0.}, {7.499999999999999, 30.21042084168337}]}, {{7.499999999999999, 37.72545090180361}, Offset[{2.5, 0.}, {7.499999999999999, 37.72545090180361}]}, {{7.499999999999999, 52.75551102204409}, Offset[{2.5, 0.}, {7.499999999999999, 52.75551102204409}]}, {{7.499999999999999, 60.27054108216433}, Offset[{2.5, 0.}, {7.499999999999999, 60.27054108216433}]}, {{7.499999999999999, 67.78557114228457}, Offset[{2.5, 0.}, {7.499999999999999, 67.78557114228457}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}, StripOnInput -> False]}, StyleBox[ StyleBox[{{ StyleBox[{ InsetBox[ FormBox["0.`", TraditionalForm], Offset[{7., 0.}, {7.499999999999999, -74.99999999999999}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.2\"", ShowStringCharacters -> False], 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.499999999999999, -44.93987975951903}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.4\"", ShowStringCharacters -> False], 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.499999999999999, -14.87975951903807}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.6\"", ShowStringCharacters -> False], 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.499999999999999, 15.18036072144289}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.8\"", ShowStringCharacters -> False], 0.8, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.499999999999999, 45.24048096192385}], ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], StyleBox[{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> False], {{ Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}}, StripOnInput -> False]}, {"GraphicsAxes"}, StripOnInput -> False]}, PlotRangePadding -> Scaled[0.02], PlotRange -> All, Frame -> True, FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> Opacity[0], FrameTicksStyle -> Opacity[0], ImageSize -> {Automatic, 150}, BaseStyle -> {}], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], {FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]}, "BarLegend", DisplayFunction -> (#& ), InterpretationFunction :> (RowBox[{"BarLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Blend", "[", RowBox[{"\"Rainbow\"", ",", "#1"}], "]"}], "&"}], ",", RowBox[{"{", RowBox[{ "1.469478491521675`*^-108", ",", "0.9981464378189758`"}], "}"}]}], "}"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", RowBox[{"LegendMarkerSize", "\[Rule]", "150"}], ",", RowBox[{"ScalingFunctions", "\[Rule]", RowBox[{"{", RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", RowBox[{"ColorFunctionScaling", "\[Rule]", "True"}]}], "]"}]& )], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", CellChangeTimes->{3.929371740856419*^9, 3.929418433567562*^9, 3.929429826823995*^9, 3.929434282869553*^9}, CellLabel->"Out[9]=",ExpressionUUID->"6540236a-d96d-41da-bce3-5d592a637886"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"L", "=", "10"}], ";", " ", RowBox[{"\[Alpha]", " ", "=", "0.2"}], ";"}], "\[IndentingNewLine]", " ", RowBox[{"(*", RowBox[{ RowBox[{"L", ":", " ", RowBox[{"L\[ADoubleDot]nge", " ", "des", " ", "Bereiches"}]}], ",", " ", RowBox[{"indem", " ", "wir", " ", "das", " ", "Randwertproblem", " ", RowBox[{"l\[ODoubleDot]sen", ".", " ", RowBox[{"\[Alpha]", ":", " ", RowBox[{"Parameter", " ", "in", " ", RowBox[{"PDE", "."}]}]}]}]}]}], "*)"}], " ", "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ RowBox[{ RowBox[{"Def", ".", " ", "der"}], " ", "DGL"}], " ", "+", " ", "Anfangsbedingung", " ", "+", " ", "Randbedingungen"}], " ", "*)"}]}], "\[IndentingNewLine]", RowBox[{"eq2D", "=", RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", "y", ",", "t"}], "]"}], ",", RowBox[{"{", "t", "}"}]}], "]"}], "==", RowBox[{"\[Alpha]", " ", "*", " ", RowBox[{"(", RowBox[{ RowBox[{"D", "[", " ", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", "y", ",", "t"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "2"}], "}"}]}], "]"}], "+", RowBox[{"D", "[", " ", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", "y", ",", "t"}], "]"}], ",", RowBox[{"{", RowBox[{"y", ",", "2"}], "}"}]}], "]"}]}], ")"}]}]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"initialdistribution", "=", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", "y", ",", "0"}], "]"}], "==", RowBox[{"Exp", "[", RowBox[{"-", RowBox[{"(", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{ RowBox[{"x", "^", "2"}], "+", RowBox[{"y", "^", "2"}]}], "]"}], "-", "3"}], ")"}], "^", "2"}], ")"}]}], " ", "]"}]}]}], ";"}], " "}], "\[IndentingNewLine]", RowBox[{"boundaryconditions", "=", RowBox[{"{", " ", RowBox[{ RowBox[{ RowBox[{"u", "[", RowBox[{ RowBox[{"-", "L"}], ",", "y", ",", "t"}], "]"}], "==", "0"}], ",", RowBox[{ RowBox[{"u", "[", RowBox[{"L", ",", "y", ",", "t"}], "]"}], "==", "0"}], ",", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", RowBox[{"-", "L"}], ",", "t"}], "]"}], "==", "0"}], ",", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", "L", ",", "t"}], "]"}], "==", "0"}]}], "}"}]}]}], "Input", CellChangeTimes->{{3.928906081097105*^9, 3.9289061162505217`*^9}, { 3.928906217898033*^9, 3.928906227019577*^9}, {3.928906391290839*^9, 3.9289064337883797`*^9}, {3.928906926167783*^9, 3.928906945659607*^9}, { 3.9289098607501907`*^9, 3.928909894525731*^9}, 3.9289184585146923`*^9, { 3.92936564299599*^9, 3.929365673496477*^9}, 3.9293679666586847`*^9, { 3.929368273909916*^9, 3.9293684449291077`*^9}, {3.929368779193863*^9, 3.9293687828613863`*^9}, {3.929368921791442*^9, 3.92936894496736*^9}, { 3.929369470740103*^9, 3.929369471238298*^9}, 3.929369528364189*^9, { 3.9293696043549023`*^9, 3.9293696044911118`*^9}, {3.929370003980459*^9, 3.929370005060855*^9}, {3.929370076179535*^9, 3.929370076397512*^9}, { 3.929370847537603*^9, 3.9293708490644627`*^9}, {3.9293709218895206`*^9, 3.92937092278306*^9}, 3.929371746041909*^9, {3.929523260569358*^9, 3.9295233133696938`*^9}, {3.929523368456552*^9, 3.929523445294818*^9}},ExpressionUUID->"82527c0d-7bb2-4fd3-8c27-\ 542224e4d5b1"], Cell[BoxData[ RowBox[{ RowBox[{ SuperscriptBox["u", TagBox[ RowBox[{"(", RowBox[{"0", ",", "0", ",", "1"}], ")"}], Derivative], MultilineFunction->None], "[", RowBox[{"x", ",", "y", ",", "t"}], "]"}], "\[Equal]", RowBox[{"0.2`", " ", RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["u", TagBox[ RowBox[{"(", RowBox[{"0", ",", "2", ",", "0"}], ")"}], Derivative], MultilineFunction->None], "[", RowBox[{"x", ",", "y", ",", "t"}], "]"}], "+", RowBox[{ SuperscriptBox["u", TagBox[ RowBox[{"(", RowBox[{"2", ",", "0", ",", "0"}], ")"}], Derivative], MultilineFunction->None], "[", RowBox[{"x", ",", "y", ",", "t"}], "]"}]}], ")"}]}]}]], "Output", CellChangeTimes->{ 3.929368595044837*^9, 3.929368784179418*^9, {3.929368924888227*^9, 3.929368945316309*^9}, 3.929369471713125*^9, 3.9293695298209257`*^9, 3.929369605194874*^9, 3.929370005781884*^9, 3.929370076727405*^9, 3.929370849646564*^9, 3.92937092362051*^9, 3.929371746586791*^9, 3.929418436118637*^9, 3.9294298268505993`*^9, 3.929434282921472*^9}, CellLabel->"Out[11]=",ExpressionUUID->"05939567-a788-4709-9306-26fc638021f7"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"u", "[", RowBox[{ RowBox[{"-", "10"}], ",", "y", ",", "t"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"u", "[", RowBox[{"10", ",", "y", ",", "t"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "t"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"u", "[", RowBox[{"x", ",", "10", ",", "t"}], "]"}], "\[Equal]", "0"}]}], "}"}]], "Output", CellChangeTimes->{ 3.929368595044837*^9, 3.929368784179418*^9, {3.929368924888227*^9, 3.929368945316309*^9}, 3.929369471713125*^9, 3.9293695298209257`*^9, 3.929369605194874*^9, 3.929370005781884*^9, 3.929370076727405*^9, 3.929370849646564*^9, 3.92937092362051*^9, 3.929371746586791*^9, 3.929418436118637*^9, 3.9294298268505993`*^9, 3.929434282932837*^9}, CellLabel->"Out[13]=",ExpressionUUID->"2a00d71c-5ed5-4487-9e66-8d086292b51a"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Sol", "=", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ "eq2D", ",", "initialdistribution", ",", " ", "boundaryconditions"}], "}"}], ",", "u", ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "L"}], ",", " ", "L"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "L"}], ",", " ", "L"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"Method", "->", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"\"\\"", "->", "t"}], ",", RowBox[{ "\"\\"", "->", "\"\\""}]}], "}"}]}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{ "Das", " ", "Ergebnis", " ", "ist", " ", "ohne", " ", "\"\\>\"", " ", "trotzdem", " ", RowBox[{"richtig", ".", " ", "Mathematica"}], " ", "hat", " ", "nur", " ", "schwierigkeiten", " ", "damit", " ", "und", " ", "zeigt", " ", "Fehlermeldungen", " ", RowBox[{"an", "."}]}], " ", "*)"}], "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.9293661786265707`*^9, 3.929366214853773*^9}, { 3.929366248717519*^9, 3.929366336306815*^9}, {3.929366744335491*^9, 3.929366747489913*^9}, {3.929367261025988*^9, 3.9293672836552553`*^9}, { 3.9293673284847717`*^9, 3.929367330817092*^9}, {3.929367755207169*^9, 3.929367836124984*^9}, 3.929367877251849*^9, {3.929367914313736*^9, 3.929367931943594*^9}, 3.9293679631106787`*^9, {3.929368197590371*^9, 3.929368307621467*^9}, {3.9293685505212297`*^9, 3.92936855281618*^9}, { 3.929368676832336*^9, 3.929368685935134*^9}, {3.929368726167307*^9, 3.929368763511745*^9}, {3.9293687941092453`*^9, 3.929368796958894*^9}, { 3.929368913442568*^9, 3.929368915540743*^9}, {3.9293690868292503`*^9, 3.92936908856958*^9}, {3.929369188969974*^9, 3.929369189971054*^9}, { 3.9293692333413763`*^9, 3.929369235454064*^9}, {3.929369319685833*^9, 3.9293693219297323`*^9}, {3.929371810643888*^9, 3.929371811339816*^9}, { 3.929371948438792*^9, 3.9293719615524073`*^9}, {3.9295229599462214`*^9, 3.929523012089224*^9}, {3.929523975146962*^9, 3.929524025666936*^9}},ExpressionUUID->"930b2791-f835-4560-b18b-\ a368e28376ca"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{"u", "\[Rule]", InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{ GrayLevel[0.6], AbsolutePointSize[5], PointBox[{1, 1}], PointBox[{2, 4}], PointBox[{3, 2}], PointBox[{4, 3}]}, {{}, {}, { AbsoluteThickness[1], Opacity[1.], LineBox[CompressedData[" 1:eJwBMQPO/CFib1JlAgAAADIAAAACAAAA4ScLwZmZ6T/ACPskWpOYv4AjHgZ5 3Os/cnpQh5xu1j/qWn1XCVDuP5K7ih5ptuc/r+pongFN8D/CUK87BHLxP46d cUQ/bPE/ujUa8/qu9j9TbqBw1aPyP/TWyyAhFfw/neDJZqDG8z+QAqdF9GsA QM1wGePDAfU/VsVD/9nXAkCidscSKDf2P6Bp73exDQVA/B1wDMFX9z+TpM3k wfUGQDzjPoyykPg/7M3Z+O7ZCEABSgjW2LT5P3pl9LwNcgpAbCYw0z/T+j86 ypori9cLQL0gflb/Cfw/lpOs9xIqDUCTvMaj8yv9Pw4alcoYNg5AT3Y1d0Bm /j+pB2LLtyIPQLClAv7Nmv8/NnA5bbjSD0BLO2UnSF0AQFrcILXmpw9AsTLc klX5AED+sDHBQukOQNp6UGP9igFAbZ+lR/sLDkD10dd20SgCQNHi3Mj38wxA 42MO5MXDAkAZdr6AZb8LQJRGQrZUVANArv7zEMKHCkA4OInLD/EDQLBlMO3M IglAnnrNRWWDBEA3d8OX6skHQNf3wBnbEgVAD3D3ndNyBkADhMcwfa4FQHOK 7Wak/wRA8WDLrLk/BkC/MhCgYawDQNJM4msi3QZAwss/TmVLAkCGc6iEq3cH QIsIg92+BgFA/OprAs8HCECrPCvgePD/P2VxQsMepAhAKXVLE0Xg/j+RSBbp CDYJQPRz0a7WJ/4/kFqZaBPFCUDN4sX5uLj9P4J7LytKYApAvh1MbRmT/T82 7cJSG/EKQHzT1YZwwv0/3W1pvRiOC0B2LZ/10lT+P0c/DY2wIAxAVrX8MJA7 /z+DS2C2aLAMQElWzbMzPQBAsmbGIk1MDUCi9bAadCABQKTSKfTL3Q1AYexd q+EpAkCJTaAId3sOQFyS/ndEhgNAQAPGdkIWD0BHWcLdahwFQLoJ6Umopg9A vd1CiejSBkCTjw8wnSEQQPiVkXD08QhAq0KpbbNqEEBsk2Azxi4LQCyTGthZ shBAYCBYjj+gDUAnaxVkFgARQMwfdA9ySBBAg+uOIqBIEUBj/5rHgMsRQNFn q5SZmRFAL++xNeOlE0Dwt3AR "]]}}}, AspectRatio -> 1, Axes -> False, Background -> GrayLevel[0.93], Frame -> True, FrameStyle -> Directive[ GrayLevel[0.7], Thickness[Tiny]], FrameTicks -> None, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], PlotRange -> {{0, 5}, {0, 5}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "10.`"}], "}"}]}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{ GrayLevel[0.6], AbsolutePointSize[5], PointBox[{1, 1}], PointBox[{2, 4}], PointBox[{3, 2}], PointBox[{4, 3}]}, {{}, {}, { AbsoluteThickness[1], Opacity[1.], LineBox[CompressedData[" 1:eJwBMQPO/CFib1JlAgAAADIAAAACAAAA4ScLwZmZ6T/ACPskWpOYv4AjHgZ5 3Os/cnpQh5xu1j/qWn1XCVDuP5K7ih5ptuc/r+pongFN8D/CUK87BHLxP46d cUQ/bPE/ujUa8/qu9j9TbqBw1aPyP/TWyyAhFfw/neDJZqDG8z+QAqdF9GsA QM1wGePDAfU/VsVD/9nXAkCidscSKDf2P6Bp73exDQVA/B1wDMFX9z+TpM3k wfUGQDzjPoyykPg/7M3Z+O7ZCEABSgjW2LT5P3pl9LwNcgpAbCYw0z/T+j86 ypori9cLQL0gflb/Cfw/lpOs9xIqDUCTvMaj8yv9Pw4alcoYNg5AT3Y1d0Bm /j+pB2LLtyIPQLClAv7Nmv8/NnA5bbjSD0BLO2UnSF0AQFrcILXmpw9AsTLc klX5AED+sDHBQukOQNp6UGP9igFAbZ+lR/sLDkD10dd20SgCQNHi3Mj38wxA 42MO5MXDAkAZdr6AZb8LQJRGQrZUVANArv7zEMKHCkA4OInLD/EDQLBlMO3M IglAnnrNRWWDBEA3d8OX6skHQNf3wBnbEgVAD3D3ndNyBkADhMcwfa4FQHOK 7Wak/wRA8WDLrLk/BkC/MhCgYawDQNJM4msi3QZAwss/TmVLAkCGc6iEq3cH QIsIg92+BgFA/OprAs8HCECrPCvgePD/P2VxQsMepAhAKXVLE0Xg/j+RSBbp CDYJQPRz0a7WJ/4/kFqZaBPFCUDN4sX5uLj9P4J7LytKYApAvh1MbRmT/T82 7cJSG/EKQHzT1YZwwv0/3W1pvRiOC0B2LZ/10lT+P0c/DY2wIAxAVrX8MJA7 /z+DS2C2aLAMQElWzbMzPQBAsmbGIk1MDUCi9bAadCABQKTSKfTL3Q1AYexd q+EpAkCJTaAId3sOQFyS/ndEhgNAQAPGdkIWD0BHWcLdahwFQLoJ6Umopg9A vd1CiejSBkCTjw8wnSEQQPiVkXD08QhAq0KpbbNqEEBsk2Azxi4LQCyTGthZ shBAYCBYjj+gDUAnaxVkFgARQMwfdA9ySBBAg+uOIqBIEUBj/5rHgMsRQNFn q5SZmRFAL++xNeOlE0Dwt3AR "]]}}}, AspectRatio -> 1, Axes -> False, Background -> GrayLevel[0.93], Frame -> True, FrameStyle -> Directive[ GrayLevel[0.7], Thickness[Tiny]], FrameTicks -> None, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], PlotRange -> {{0, 5}, {0, 5}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "10.`"}], "}"}]}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["3", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Unstructured\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{-10., 10.}, {-10., 10.}, {0., 10.}}, { 5, 12417, 1, {41, 1281, 0}, {4, 3, 3}, 0, 0, 0, 0, Indeterminate& , {}, {}, False}, { NDSolve`FEM`ElementMesh[CompressedData[" 1:eJx120GurDgShWGqRUk5YIAQQgghZMPdR7KGXkJJNe4lVi4ll/CGDEutyggp v248sU7+hsf1C7AdPq5//Offf/6raZrffm+a/9b/lJ/X/693dEGv6Bk9onv0 A92gf/0F53l/PeEn90f36BE9o1d0Qe/on4+23/abuqBX9Iwe0T36gW7Q0Z/J G/gTfnJ/dI8e0TN6RRf0jo7+NO7st3JTr+gZPaJ79APdoKM/kzfwJ/zk/uge PaJn9Iou6B0d/el7a9zZb+tNPaNHdI9+oBt09GfyBv6En9wf3aNH9Ixe0QW9 o6M//e753hp39tt8U4/oHv1AN+joz+QN/Ak/uT+6R4/oGb2iC3pHR386bvjd 87017uy38abu0Q90g47+TN7An/CT+6N79Iie0Su6oHd09KfjruOG3z3fW+PO futv6ge6QUd/Jm/gT/jJ/dE9ekTP6BVd0Ds6+tN5i+Ou44bfPd9b485+e9zU DTr6M3kDf8JP7ovu0SN6Rq/ogt7R0Z/O+5y3OO46bvjd87017uy35qaO/szf G/gTfnJ/dI8e0TN6RRf0jo7+dN7svM95i+Ou44bfPd9b485+C20dJX9/wvl7 HugePaJn9Iou6B2d8fkprkOcRzsPdB7jOOw44nfQ99g4tB8tGZ9RTu6P7tEj ekav6ILe0RmfrNtcdzhvdt7nvMVx13HD757vrXFnvyWnzviM+6N79Iie0Su6 oHd0xuendh3sOs51iPNo54HOYxyHHUf8DvoeZwlOP1o/0D16RM/oFV3QOzrH 99Cvb+062HWc6xDn0c4Dncc4DjuO+B2MYtzZb4+bukeP6Bm9ogt6R+f8M/Tr W5tHcB3sOs51iPNo54HOYxyHHUei+N4ad/Zbf1OP6Bm9ogt6R+f6KPTrW5uH MY/gOth1nOsQ59HOA53HOA5H8bvne2vc2W/jTT2jV3RB7+hcv4d+fWvzWOZh zCO4DnYd5zrEebTzQOcxURw3/O753hp39tt8U6/ogt7RmV8K/frW5gHNY5mH MY/gOth1nOsQ59HOA6M47jpu+N3zvTXu7Lf1pi7oHf1DO/PQ5lHNA5rHMg9j HsF1sOs41yHOo6M4b3Hcddzwu+d7a9zZb+Wm3tE//G4e3zy0eVTzgOaxzMOY R3Ad7DrOdUiU5MwDncc4DjuO+B30PTYO7UfrH+vXt77N48e/h77NA370bR7m o2/XwcEb+N08Ou6Pvh2H4/nRt+/xp97RUR/xd3zq6MeD2n0mf6/87j5Kpf1G e/cJNtovtDcPvtB+or153on2A+3NYw6072hvnq6jfUt781At7a+/vtubZwke 7d+0j/IDz/ZP7s86OXg+D+1dB160b8/v9q5zgmd/0t55fEf7gfbOUwfaT7R3 HjbRfqG984yF9hvtHUc32lfa77SvtD9o73cweLxn7l/Gdb6Hhd8rv0e9wd23 W+DuQ01w91UGuPsEHdy8dws3jxvvS3Dzkm94lORPridvdMHNg0S85/PDO7jr 1AHuumuCu45Y4M6LN7jzvArf4f8Tfx8dceP+b8Sj3/ngFe7+8EbtfvECdx90 gruvN8Ddp+rg7ru0cPcRIh6Dmxd/w6Mkf3I9ecsLbh4u4jGfH97BzZMMcNf9 E9x17AJ3XbbBXWdU+A4/4BGPERfun0c8Oo8IXuHur29w99sXavffJ7j7ygPc fdIO7r5fC3cfK+IxuPsyb3iU5E+uJ29+wc0DRzzm88M7uHm6AW7eaYKbR1ng 5gU2uOvcCt/hBzziMf7f9R9EPDpPDV7h+hM2uH6FBa5/YaLWzzDA3afv4O47 t3D3USMeg7sv+IZHSf7kevZtLrj7EBGP+fzwDm6eeICb95zg5vEWuHmpDW6e pcJ3+AGPeIz/V/0bEY+ug4JXuP6ODa7fY4Hr/5jg+kEGav0hHVzfQwt3Hz/i Mbj70m94lORPrmff8IK7DxbxmM8P7+DuUwxw8+4T3DzyAjcvusHN81X4Dj/g EY/x/5b7Y9H+9c31w1R4gW9w/TILXP/MBNdPM8D113TU+m1auD6SiMfg+iLe 8CjJn1zPvvUFdx824jGfH97B3Scb4O77THD3MRa4efkNbp65wnf4AY94jP+X 3P+O9q9vrp+owgt8g+s3WuD6jya4fqQBrj+pg+tXaqkb6ojH4Ppy3vAswZ9c j2/igusDiHjM54d3cPdpB7j7jhPcfbQF7r7QBnefo8J3+AGPeIx+j3iMfo94 NE8YvMILfIPr11rg+rcmuH6uAa6/q4Pr92rhDfyi1g/2hkdJ/uR6fDsXPOIx n+/k+eEdXJ/AAHffe4K7j7vA3Zfc4O6zVfgOP+ARj9Gv+X38lIhH89BRKrzA N7h+twWu/22C64cb4PrjOrh+uRbewKOfguune8MtEY95/fObX/D8Psbznd9c X08H16cywPVdTHB9BAvcffEN7j5vhe/wA57xyL5G9FvGI/sWwSu8wDe4fsEF rn9wgusnHOD6Czu4fsMW3sAzHvmu/SKO8voGTq1f8YLn9zGe7+T54R1cn9QA 1/czwfWxLHB9GRtcn0GF7/ADnuM18Rj9kuM18Ri8wgt8g+u3XOD6Lye4fswB rj+zg+vXbOENPMdr4jH4G54lOHGn3/OC5/cxno92+ho7uD69Aa7vbILro1rg +oI2uD6XCt/hBzzXM58619fR/vXN9aNWeIFvcP2qC1z/6gTXzzrA9bd2cP2u LbyB53rmo/XDvuFRkvOd0y97wXN9fX7/3vJ7/n1wfaIDXN/jBNfHt8D1pW1w fVYVvsMPeOZ7Qr/+qePvynxP3A9e4QW+wfX7LnD9vxNcP/AA1x/cwfULt/AG nvmej9ZP/IZHSc64qt/4gmf+MZ7v/Ob6kTtq/ckDXN/tBNdHusD1RW7wAq/w HX7AMx8e+vX93JkPj/vBK7zAN7h+6QWuf3qC66ce4PqrO7h+6xbewDMf/tH6 sd/wKMmZx+nXvuC5PxPPd/L88A6uv3ug1u89wfUxL3B9uRu8wCt8hx/w3C8M /fp+rtwvjPvBK7zAN7h+8wWu/3yC60cf4PrTO7h+9RbewHO/8KP1s7/hUZKz btDvfsFz/zqe7+T54R1cf/wA1y8/UeufX+D6wjd4gVf4Dj/g6acI/fr+d9NP EfeDV3iBb3D9+gtc//4E188/wPX3d3D9/i28gaef4qM9D/CGR0nOOtXzAhc8 /T3xfCfPD+/gni8Y4J43mOCeP1ioPY+wwQu8wnf4AU+/WejX933Tbxb3g1d4 gW9wzzsscM8/THDPQwxwz0d0cM9LtPAGnn6zj/Y8xRseJTl5Ec9bXPD0P8bz nTw/vIN7PmOAe15jgnt+Y4F7nmOjLtQVvsMPeMRjXBfxGNelHzfuB6/wAt/g nhdZ4J4fmeCeJxngni/p4J43aeENPP24H+15lDc8SnLycJ5XueARj/l8J88P 7+CebxngnneZ4J5/WeCeh9ngBV6pd+oD/sPvEY/5++ube56mwgt8g3veZoF7 /maCex5ngHs+p4N7XqeFN/A8b/HRnud5w6O4z5DX3+R98/qT5zt5fngH93zQ APe80AT3/NAC9zzRBi/wCt/hB/XP+Tf9VMdK "], { NDSolve`FEM`QuadElement[CompressedData[" 1:eJw1m3UQVHUDRbdAlDLo7pAuRUqkGwSkG6SR7pLuVLpBQFGQUlIFpREw6AYT sLu/7975Hf44szPnzr59O3t2Zmf3bc5OfRu/EItEInOjkUgy3eomkk6kF/Z7 JfaJ/eKdaHDeMoh4JPh3xXviQDQ4bxlFIhL8QfG++CAanLdMIkkk+EPisDgS Dc5bZpE0EvxRcUwcjwbnLYt4IBL8CXFSfBgNzlvWSHg+9qfEaXGG5+gtm3gw EvxH4mPxSTQ4b9nFQ5HgPxVnxblocN5yiOSR4M+LC+JiNDhvOUWKSPCXxGVx JRqct1wiZST4q+KauB4NzltukSoS/A1xU9yKBuctj0gdCf62+Ex8Hg3OW17x cCT4L8SX4qtocN7yiUciwX8t7oi70eC85RePRoK/J74R30aD81ZAPBYJ/jvx vfghGpy3giJNJPgfxU/i52hw3h4XaSPB/yJ+Fb9FQ3uFRGE6+13uD/EnHaZn K0Jn9n+Jv+kwA1tROrP/R/xLhxnZitGZ/X/if3SYia04ndk7+mgsdJiZrQSd 2cdEPBY6zMJWks7sEyJJLHSYla0UndknFQ/EQofZ2ErTmX0y8WAsdJidrQyd 2T8kksdChznYnqAz+xQiZSx0mJPtyfsNyqcSqWOhw1xsZenM/mHxSCx0mJvt KTqzf1Q8Fgsd5mErR2f2aUTaWOgwL1t5OrNPJ9LHQof52CrQmX0GkTEWOszP VpHO7DOJzLHQYQG2SnRmn0VkjYUOC7I9TYP22UT2WOjQ7VUWz9BZDvmcIlcs dFiYrQqd2ecWeWKhwyJsVenMPq/IFwsdFmWrRmf2+UWBWOiwGFt1OrMvKB6P hQ6Ls9WgM/tCojAdlmCrSWf2RURROizJVovO7Iv5uHRYiq02ndmX8P3osDRb HTqzL2VPh2XY6tKZfRnxBB0+wVaPzuyfFGXp8Em2+nRm/5QoR4dl2Rrc70yu vKhAh0+xNaQz+4qiEh2WY2tEZ/ZPi8p0WJ7tWTqzf0ZUocMKbI3pzL6qqEaH Fdma0Jl9dVGDDiuxNaVB+5qiFh26vedEMzqrLVdH1KXDZ9ia05l9PVGfDquw taAz+waiIR1WZWtJZ/aNxLN0WI2tFZ3ZNxZN6LA6W2s6s28qnqPDGmxt6My+ mWhOhzXZ2tKZfQvRkg5rsbWjM/tWojUd1mZrT2f2bURbOqzD1oHO7NuJ9nRY l60jndl3EB3psB5bJzqz7yQ602F9ts50Zt9FPE+HDdi60Jl9V9GNDhuyPU9n 9t1FDzpsxNaVzux7il50+CxbNzqz7y360GFjtu50Zu8PeH3psAlbDxq07yf6 06Hb6+nj0tkAuYFiEB02Y+tNZ/aDxRA6bM7Wh87sh4phdNiC7QU6sx8uRtBh S7a+dGY/Uoyiw1Zs/ejMfrQYQ4et2frTmf1Y8SIdtmEbQGf248R4OmzLNpDO 7CeIiXTYjm0QndlPEpPpsD3bYDqznyKm0mEHtiF0Zj9NTL/fIdtQOrOfIWbS YSe2YXRmP0vMpsPObMPpzH6OmEuHXdhG0Jn9PDGfDp9nG0ln9i+Jl+mwK9so OrNfIBbSYTe20XRmv0gspsPubGNo0H6JWEqHbm+sXxc6Wya3XKygw15s4+jM fqVYRYe92cbTmf1qsYYO+7BNoDP7tWIdHb7ANpHO7F8R6+mwL9skOrPfIDbS YT+2yXRm/6p4jQ77s02hM/tN4nU6HMA2lc7s3xCb6XAg2zQ6s98i3qTDQWzT 6cx+q9hGh4PZZtCZ/Xaxgw6HsM2kM/ud4i06HMo2i87s3xa76HAY22w6s98t 9tDhcLY5dGa/V+yjwxFsc+nMfr94hw5Hss2jM/t3xXt0OIptPp3ZHxAH6XA0 20s0aP+++IAO3d7LYgGdHZI7LI7Q4YtsC+nM/qg4Rofj2BbRmf1xcYIOx7Mt pjP7k+JDOpzAtoTO7E+J03Q4kW0pndmfER/R4SS2ZXRm/7H4hA4nsy2nM/tP xVk6nMK2gs7sz4nzdDiVbSWd2V8QF+lwGtsqOrO/JC7T4XS21XRmf0VcpcMZ bGvozP6auE6HM9nW0pn9DXGTDmexraMz+1viNh3OZnuFzuw/E5/T4Ry29XRm /4X4kg7nsm2gM/uvxNd0OI9tI53Z3xF36XA+26s0aH9PfEOHbu81sYnOvpX7 TnxPhwvYXqcz+x/Ej3S4kO0NOrP/SfxMh4vYNtOZ/S/iVzpczLaFzux/E7/T 4RK2N+nM/g/xJx0uZdtKZ/Z/ib/pcBnbNjqz/0f8S4fL2bbTmf1/4n90uIJt B53Z+0unaDx0uJJtJ53Zx0Q8HjpcxfYWndknRJJ46HA129t0Zp9UPBAPHa5h 20Vn9snEg/HQ4Vq23XRm/5BIHg8drmPbQ2f2KUTKeOjwFba9dGafSqSOhw7X s+2jM/uHxSPx0OEGtv10Zv+oeCweOtzI9g4N2qcRaeOhQ7f3rniPztLJpxcZ 4qHDTWwH6Mw+o8gUDx2+znaQzuwziyzx0OEbbO/TmX1WkS0eOtzM9gGd2WcX OeKhwy1sh+jMPqfIFQ8dvsl2mM7sc4s88dDhVrYjdGafV+SLhw63sR2lM/v8 okA8dLid7Rid2RcUj8dDhzvYjtOZfSFRmA53sp2gM/sioigdvsV2ks7si4ni dPg224d0Zl9ClKTDXWyn6My+lChNh7vZTtOZfRnxBB3uYTtDZ/ZPirJ0uJft Izqzf0qUo8N9bB/TmX15UYEO97N9QoP2FUUlOnR7n4qzdPa0XGXxDB2+x3aO zuyriKp0eIDtPJ3ZVxPV6fAg2wU6s68hatLh+2wX6cy+lqhNhx+wXaIz+zqi Lh0eYrtMZ/b1RH06PMx2hc7sG4iGdHiE7Sqd2TcSz9LhUbZrdGbfWDShw2Ns 1+nMvql4jg6Ps92gM/tmojkdnmC7SWf2LURLOjzJdovO7FuJ1nT4IdttOrNv I9rS4Sm2z+jMvp1oT4en2T6nM/sOoiMdnmH7gs7sO4nOdPgR25d0Zt9FPE+H H7N9RYP2XUU3OnR7X4s7dNZdrofoSYdn2e7SmX0v0ZsOz7HdozP7PuIFOjzP 9g2d2fcV/ejwAtu3dGbfXwygw4ts39GZ/UAxiA4vsX1PZ/aDxRA6vMz2A53Z DxXD6PAK2490Zj9cjKDDq2w/0Zn9SDGKDq+x/Uxn9qPFGDq8zvYLndmPFS/S 4Q22X+nMfpwYT4c32X6jM/sJYiId3mL7nc7sJ4nJdHib7Q86s58iptLhZ2x/ 0pn9NDGdDj9n+4vO7GeImXT4BdvfdGY/S8ymwy/Z/qFB+zliLh26vX/Ff3Q2 T26+eIkO77D9j87sXxYL6PAum3/Ic2f2C8UiOrzHFo2GzuwXiyV0aOctFg2d 2S8Vy+jQzls8GjqzXy5W0KGdt0Q0dGa/UqyiQztvSaKhM/vVYg0d2nlLGg2d 2a8V6+jQztsD0dCZ/StiPR3aeUsWDZ3ZbxAb6dDO24PR0Jn9q+I1OrTz9lA0 dGa/SbxOh3bekkdDZ/ZviM10aOctRTR0Zr9FvEmHdt5SRkNn9lvFNjq085Yq Gjqz3y520KGdt9TR0Jn9TvEWHdp5ezgaOrN/W+yiQztvj0RDg/a7xR46dHuP +ne8aOhsr9w+sZ8O7byliYbO7N8R79Khnbe00dCZ/XviAB1G2NLRoP1B8T4d RtnS06D9B+IQHcbYMtCg/WFxhA7jbBlp0P6oOEaHCbZMNGh/XJygwyRsmWnQ /qT4kA6TsmWhQftT4jQdPsCWlQbtz4iP6DAZWzYatP9YfEKHD7Jlp0H7T8VZ OnyILQcN2p8T5+kwOVtOGrS/IC7SYQq2XDRof0lcpsOUbLlp0P6KuEqHqdjy 0KD9NXGdDlOz5aVB+xviJh0+zJaPBu1vidt06PbyiwI0+Jnc5+ILOnyMrSAN 2n8pvqLDNGyP05n91+IOHaZlK0Rn9nfFPTpMx1aYzuy/Ed/SYXq2InRm/534 ng4zsBWlM/sfxI90mJGtGJ3Z/yR+psNMbMXpzP4X8SsdZmYrQWf2v4nf6TAL W0k6s/9D/EmHWdlK0Zn9X+JvOszGVprO7P8R/9JhdrYydGb/n9/3dJiD7Qk6 s/dFH9FE6DAn25N0Zh8T8UToMBdbWTqzT4gkidBhbran6Mw+qXggETrMw1aO zuyTiQcTocO8bOVp0P4hkTwROnR7FURFOkshn1KkSoQOC7BVojP71OLhROiw INvTdGb/iHg0ETp8nK0yndk/JtIkQoeF2J6hM/u0Il0idFiYrQqd2acXGRKh wyJsVenMPqPIlAgdFmWrdr9B+cwiSyJ0WIytOp3ZZxXZEqHD4mw16Mw+u8iR CB2WYKtJZ/Y5Ra5E6LAkWy06s88t8iRCh6XYatOZfV6RLxE6LM1Wh87s84sC idBhGba6dGZfUDyeCB0+wVaPzuwLicJ0+CRbfTqzLyKK0mFZtgZ0Zl9MFKfD p9ga0pl9CVGSDsuxNaJB+1KiNB26vWdFYzor43P2edFhRbYmdGZf1o9Lh5XY mtKZfTlRng6fZnuOzuwr+Lh0WJmtGZ3ZV/L96PAZtuZ0Zl/Zng6rsLWgM/sq oiodVmVrSWf21UR1OqzG1orO7GuImnRYna31/c7kaonadFiDrQ2d2dcRdemw JltbOrOvJ+rTYS22dnRm30A0pMPabO3pzL6ReJYO67B1oDP7xqIJHdZl60hn 9k3Fc3RYj60Tndk3E83psD5bZzqzbyFa0mEDti50Zt9KtKbDhmzP06B9G9GW Dt1eV9GNztrJtRcd6LAxW3c6s+8oOtFhE7YedGbfWXShw6ZsPenM/nnRlQ6f Y+tFZ/bdRHc6bMbWm87se4iedNicrQ+d2fcSvemwBdsLdGbfR7xAhy3Z+tKZ fV/Rjw5bsfWjM/v+YgAdtmbrT2f2A8UgOmzDNoDO7AeLIXTYlm0gndkPFcPo sB3bIDqzHy5G0GF7tsF0Zj9SjKLDDmxD6Mx+tBhDhx3ZhtKZ/VjxIh12YhtG Z/bjxHg67Mw2nM7sJ4iJdNiFbQQN2k8Sk+nQ7Y30edHZFLmpYhoddmMbTWf2 08UMOuzONobO7GeKWXTYg20sndnPFnPosCfbi3RmP1fMo8NebOPozH6+eIkO e7ONpzP7l8UCOuzDNoHO7BeKRfc7ZJtIZ/aLxRI67Ms2ic7sl4pldNiPbTKd 2S8XK+iwP9sUOrNfKVbR4QC2qXRmv1qsocOBbNPozH6tWEeHg9im05n9K2I9 HQ5mm0Fn9hvERjocwjaTzuxfFa/R4VC2WXRmv0m8TofD2GbTmf0bYjMdDmeb Q4P2W8SbdOj2fC30PDrbKrdNbKfDUWzz6cx+h9hJh6PZXqIz+7fE23Q4hu1l OrPfJXbT4Vi2BXRmv0fspcMX2RbSmf0+sZ8Ox7EtojP7d8S7dDiebTGd2b8n DtDhBLYldGZ/ULxPhxPZltKZ/QfiEB1OYltGZ/aHxRE6nMy2nM7sj4pjdDiF bQWd2R8XJ+hwKttKOrM/KT6kw2lsq+jM/pQ4TYfT2VbTmf0Z8REdzmBbQ2f2 H4tP6HAm21o6s/9UnKXDWWzr6Mz+nDhPh7PZXqFB+wviIh26vfViA51dkrss rtDhPLaNdGZ/VVyjw/lsr9KZ/XVxgw5fYnuNzuxvilt0+DLbJjqzvy0+o8MF bK/Tmf3n4gs6XMj2Bp3Zfym+osNFbJvpzP5rcYcOF7NtoTP7u+IeHS5he5PO 7L8R39LhUratdGb/nfieDpexbaMz+x/Ej3S4nG07ndn/JH6mwxVsO+jM/hfx Kx2uZNtJZ/a/id/pcBXbW3Rm/4f4kw5Xs71NZ/Z/ib/pcA3bLjqz/0f8S4dr 2XbTmf1/4n90uI5tDw3a+08X0SShw/8DeMAdTA== "]]}, { NDSolve`FEM`LineElement[CompressedData[" 1:eJwtk0lsjWEYRt/vv6+xppbaYkPClhXBkl0JSxYS44KwJGHHUoUVW0Nras3a pCKpSCQSSUVSQxpDo01T0hhKBHH+HIuT5zzvcxf3v3/ukh0HNu+vIqINGlBg IfQi1f/eV9zq/hDP/5/tx6eE/TE+NexP8Glhf4pPD/szfEbYB/CZYX+BN4V9 EJ8V9tf47LAP4XPC/g6fG/ZhfF7YR/DmsI/hLWH/hM8P+wS+IOxf8eVkK3wv Zr1NFn+DFfADXxd+blHlbT0sxreE24bK21bYiO8Nt4OVt31wCD8abmcrb8fg HH463Porb2fgEd4RbuOVt876WfC+cGtteHtQvzN8INzWNrw9r78fPhJuuxve RmEP/jvc2hve/sApvLm49TS8tdB78aXF7X3D2zL4gK8ubk3pbU39DvG24rYy vW2CVfjO4rYtve2C7fjh4nY8vR2BE/jJ4taV3tqhGz9f3AbT2wV4meZFeJXm JXiTZgcMpdkJb9O8XD9XmldgOM2r8DHNazCa5nUYS7MLxtPshs9p3oCJNG/C lzRvwbc0b8NkmnfgZ5p34Vea9+r3keZ9+JtmT/EPV2f9WxT8H0KHe+I= "], {1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3}]}, { NDSolve`FEM`PointElement[CompressedData[" 1:eJwt0jtIFAAYwPG71Hyd+Shdq8Wg1poUz7E2ixxtCEptSHQssM1GL2rKxaHH XQ+18nUHRnARBIJgCKfJoZfkcdyJWJmIij/B4Td80/fB/zt/u+fG/ROBQGCY 4LGjuYhiSjhJKWWUU0ElIao4RTU11FLHac5QTwMXuUSYVm7STjf36OcRT3lG lBgzfGaeH6yTZY/9o30OrqORCzTRTBvXucNdHvCQQSK84CWveE2UGG94yzve M8IoY3zgI58YZ4JJppgmToIZvpDkG9+ZZY55FkjxkzSrrLFOjgKb/OEf2/zn rDDnuMo1eunjOUMk+UqeAvUiNtBCmE66iPCEOAky/KJS8BCXuUIHtxjgMaOM kWKRJZZJs0KGNX6TJUeeDTbZ4i/b7LDLHgfHjxbkEO1MWvw= "], {5, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 7, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 6, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 8, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3}]}], CompressedData[" 1:eJxTTMoPSmVkYGDQZEAAXWeZ14/MpOwhtBaUtoLSXlA6CkpnQekqKN0FpWdB 6VVQepd9klGogdbKw1D+Kfs/Kz9e8k26YH98145etg/X7CedrvfYX3vXXj9v MeMe1kf2U7+xxc/weWr/uy5rT8nkF/aJ7OckA2+9thfr8XrFYvLRvkZknfvD qi/2j+YILt178Lu9h2op0yyO3/br1t6IL/P/Z88lPS9O8zSDg+19/97peUwO i9M3vyreyurA+UHMI+APh0N+RdVSHWceh6sM95g4u/gd5h5R2FCUIehwoePS vQfcwg7Mvi28/utFHDKvPs/S/ibucD7W+wS7rbSD6bN1qk+a5Rx8zTsdE54q ODT8tio416HkAAk9FQcAP9yK2g== "]}, CompressedData[" 1:eJzUvAlUj9/3PxoqlCiJilQoSiVDpeH9PEShECJjZCZzyZioKGQoYyEzGUqD SuPzToaQmRRCZCgZMpeh/p/7Pa/dXZ3fte669/f/3XU/1mqddd7nnD2dvV97 7/OsxXDKghHTGykoKJj889fwn78GSgoKXWyXBJWmZfdacd1q/r3hraxbZB6N MOzTz6ZQ9WJUp0EuvTPkKuKcJl1tFfd7j4ysfmVrdfr5J6XUVXbxpZXi94hP dh63Hza7rtrP/o9N1Y3eJ3zt1219E733ZnDdnNZpP50nekSf+BF/koeXb2xR Q8dftjNs1DvYPjE6Hd77cZv3FW6lEbYBs50ODn4y125y6nYL77Ud7A9EtQvf 0SrZXr5lycHLUR0dJr2xC286yMdhWZvji9sYHXKYVvIk/kJqQt2c1mk/nSd6 RJ/4EX+Sh7cfrdtpPItJX3nWdqFT+KsgrQQ7sk/RHLNz4TN6OrTNvVB02DHH ITf01HszBxPZ07j3nrF7fGWRm3L7pY44KLO4MOmozcYzdXNap/10nugRfeJH /Eke/n5JH9pffGpVx8ZKR+3JHvHnwqduGKNbx39TmNfNvT0aCZ0a6mwovTBA GNHNbku60iIhf92HjPFWAXVzWqf9dJ7oEX3iR/xJHt7/yP6kH513NXk0q7Jd b1l8/1fXLLYWyY4aeHf3HztKiMie/qT760ThW/7+bW7RlcLw7yPVmm3RFMeN NDb6bGYg0pzWaT+dJ3pEn/gRf5KHjw/yF7oP0pfokX3adlIYrL+rVIjTb+4+ MNZKDOk02Wp96hxxwqGkpm1r14tfHQzTRp3fVjenddpP54ke0Sd+xJ/k4eOX /Jv8h+6H9Cf6yxXzs9TNBtfJs3fahTeFbtliTaPTxSqGd8XeH82sPcIK6+a0 TvvpPNEj+sSP+JM8PL5QPJK/kz/RfZE9iJ/bz5BLye75YpBXQQ/B/LU4s1vn Ma27fhQV/vOvsm5O67SfzhM9ok/8iD/Jw+Mf+QfFJ/k/+RfdH9mH+LvfGTvT s+VHcbRVWILs0fM6e9Kc1mk/nSd6RJ/4EX+Sh8dnwjuyP/kPxQP5G90n2Yvk KQuf7f4uObnOXjSnddpP54ke0Sd+xJ/k4fMH4TPhH+ELxS/xJ3vR/dKc1v/f 7id+xJ/k4fPb/9/t+W/xz39LvP9b8PPfko/+Lfn931Iv/Vvqz39LPf+v6Y/W yqoXnppv5TxwhvucvFxrGun3Pm7Xq/LfKfReXKt15VfaRxvlaUoePyYmWjuc j2nvN1bLdoB9kxXBfb70VlN/bR2dn2+zTi/CWTurkV3NhLQEr8g7tgXNR+49 PSmn99zzUzf+6HbdLnVV+Pa3QRvsIsJu9l16frPtperqHhEBC+0NXruvGKSk b79F09/t0lsru05bPIateVBp77buu2WjrHD7CZKHiV9Ypt24xup5eWVuDhZp wtDppSV15w4qtgk4fGazQ8qjSoVxMeoO6xQmRj/38LIf/WzGYXfXWIffEdlO OusMHK5EGsSNP7im7nfaT78THaJPdIgvyUN8SU6ak5ykF+lLepEdyD5kB7Ib 2ZPsRnYm+5Od6V7ovuhe+PujkdaJDp03zjlQsMTX2JZGkjM3aIqHuqWRHel1 Yfu2aY7Vf+zILivP+xarlSTYF31YELTPLcBhX88NY4O69nEInbCgZHXPKgey b9SLEWcHRI+Q0e/tPH920E7bLLM+HGsxZbGRrPjakM6n2p+StT2qfnt8cK+6 Oa3TfjpP9Ig+/U78SR6Sj+Ql+Ukf0o/05e3wN78n+9M90f3w9JQbvE8eFNDN nkbysxStmZWrchUcpJ1r/AblXKuzU2hyWx/LU5Pr7HC2v0Z7H7UC2RUFd7PY 13tlfl9UQ+e3MhGWpcW2yl9WKvM0jdyVv85LmBIRFDXfprmQdS8y8bvFCsH+ Wuf2T7e3rZvTOu2n80SP6BM/4k/ykHwkL8lP+vB68v7zN5wg/6Y4IP/n74nn V/JtofvD9w/rRvIP43FmO0ZGrJbV6b+sbVjX1QpClHHaTKFLaJ3+mksPqv3S uC80/rolcNvTQ8KVA2vGRxxXFL+W39Ib55knLG8/4J5JWDuR9tGc1mk/nad9 RJ/4EX+Sh+QjeXk9eP/g4+5vuEr4QThD+ML7P3+PvDzkDzRe8wr3GGgWX2cn 03Fr/ky31RDz/KbmmeypEo48WbPj5G93cfiYzz+/WfYUOy0L7h90cJVIv48N NQy8+T1czKvwHlN+cFLdnNZpP52n34k+8SP+JA8vJ3//fFzxePW3PER+S3Yn /OZxhY8P/p55ecl/aFw4L7hmdj9f0eLO3KW112eJJyulZdEPT4kN3520+moX Jc4cXXbr+uSrYouHumuvm58V900y26+q+0D8MXrtlkW/MurmtE776TzRI/rE j5eDv18+bng84nH+b3mb8h/lScqPPF7zuMPHD+8HvD6kP41jcjx9F1oV19ln xsjx9/bavRP3mYljvYVXYscXzV/++vRRVA2K3f+xoqxuTut1+3Ge6PF8+Pvj 44LHGx7H+fz4tzqH7Er+S/UHnwd5POdxiY8v3k94fcccnvP1YfqHupHsNboo a1Z/vfdi/t6YnSahj+p+pzmt0+88Hf5+eL/n8YTHaT7/8XXF3+pCqt8IX6m+ 4+sLPk/yeM/jFh9/vB/x9nhwaPnBFaE368ZOzhYhSiei6+Ka5vw+3v68X/N4 weMwn9/4uoGvx/5WR1N9THU0+S9ft/H1B59H+XzA4xofn7yf8fYievzI25f3 W54+j7N8/uLrAr7e4uvYv/UdNJJ9aR9fD/N1HV+f8HmWzxc87vHxy/shb0/+ d9rPxzuPo3x+4vM+X0/xdSpf//+tTyO/pHgnv+X7DL5e5us+vn7h8zCfT3hc 5OOb91Pe3vw5osfnHz6v8/USX4fy9T3fN/2tryWcpPxDOMr3b3wfwtfTfF3I 1zd8nubzDY+bf8vXPA7y+YXP23w9xNeZfP3O90V8v/m3dwA+b1Ne5/tivr/j +xS+3ubrRr7+4fM4n494XOXxgfdz/r54viQPX5/zfc9/6Se5Pv1v7yZUR1J9 TnUm/97A9818/8f3MXw9zteVfH3E53k+X/G4y+MHHwf8ffJykbx8v8j34fz7 xt/emaivoX6R+h7+HYd/j+D7ar4/5Pscvl7n606+fuLrAD6f8bjM4wsfJ/x9 83KTPvz7Bf8u9Ld3Oeqz6f2C+nD+fey/vPNw7xV83833j3wfxNfzfF3K11d8 ncDnOx63efzh44j3B14v0pd/T/vbOya9+9B7Gr0L8e+O/PsZ/w7Ev2f8l76c 6y/5Pomv9/m6la+/+DqCz4c8rvP4xMcZ7y+83mSPv7378u+89E7Jv+fy75L8 +xr/TsS/d/B9O99/8n0U3w/wdS1fn/F1Bp8vedzn8YuPQ96feLvw7+T8+zi/ ztud92ceJ3j85fMaXy/wdRhf3/J9A9+P8X3u394P+HzK5wUe3/g4/b/7roDv SMn4rpSK70zn8N0pDd+h0vFdKh3fqTLw3SoD37Ey8V0rE9+56ua0TvvpPNEj +sSP+JM8vHzxGu8OLd5sI+gvH9Du3ctR0uyYXlcelC0RVgrdR+z4ECHpvDff Pyg+Regh9FpXW/RQ6m5XEzlsWiP5k09XJwzp/1W6PTtjs/ciZfHu65YFnq4a Yg3mYVjviv1lMnZe/QOjlwH6E08wfqfBf2lLJg9vv+hlbN2yeea2qQ6LhR0r VowoG7dTCmnl27xsWoLQ5In9lJseRdLFfs1V38fHST3EBtPPKeuKLfOmrvuW ryU2Gbx8RGlnFbnOfqOXwxW05H1c2dwF6wL2Bzmz8w5PGb03oJ+8kvF7Cf4n IS9/vxLstwD77TX8z5j3TRVkC8u67dhxR9owsVHtfIUvwrxbQsbcWx3kj+Js LCInOsn3nCm7MNW+h1z1/cqw3NrB4sDTA1uEyzzEqZirYj0P+61wfukkRm8k 6Hdoyfjlg78/7Mv73zoZs39j6Ke+gJ1P2pgfrtXhrbCqV+9TbgvayH/I7u+4 3N5Kbun7qtNSexdxdlCXTq2tR4mVBxY073HMTdx59ZpBWpCHmH6IzWuxvhT7 S3D+hhWjdzmM0R8KeYvAPxP+wMfHB/jfCtyHKvTtas3oHQ/subaoVk88PDb0 p/XPRfKbO3ackK6tl+9JPN4+cNdyUXvvkKxPfsdFZ/MBNxqePSMOwPxkEls/ if0+OP85mNHLgbxLwG84+JvDf/n43e7A/NtvGvOfrTfZ/WwWmP4aoF8y12T2 JZed8jffnoSsfXdaNE8a0bzHgDzRKrPrptqfF8TAJ49MNdQyRE/MnbCu/53t v47zk0GvLehrwh903cEf8cbjS5kti8exAvP3aPjTokXsvuJhjx6Q72uap5pV 6Q3xfdvmrW48z5YX3X3k9yTqqbxH/vWASxOeyssx34z1X9h/H+e3gt4dH0b/ GPi9B//GwAce/woqGX48uczi0ymO+f9j+JduMru/TrCPI/gfLZLtatHosXx9 zK5b8cNzRfXlZa8dNe+LOzCfiPVEXbZ/FM73OsvoxYH+RvD7BP5awDMen2uB dy+BL8aI14r9LB66wt/yMth9qtxj9iJ5Xgf9EZUvXhFLFMrEklEJ4gfMJ2Hd Cvv14Q+tQK8p4q8z+GWB/zfIw+cPxTcMn2cB//yBL7sRv7sQH+nFzP864X6N Yb/nkO/Hoo/TrvQ/Lv+GuQPWy6+x/afhv5NB7xDoLwI/d/D/gXzB57d0byZ/ 46FMH5UPTD8F6LsG+ufDnq1gH7LXW9ivaQMmX9NgNr+A9Wfw13awpx7ofd/H 6HvCnkfB39W7vj3p/r9/ZP4Qe4n5x+5Y5i8bA5n/jIR/6sC/jsHfsuF/lpCn dhmz3xLMd2HdGf7sTP4N//SCf06Df+6Gf96srO+fFE93Ee+jEG/+iL9cxPsK xKeAeL2A+L0B/l1h3yrcrwzzoVgvwP6zOP8H9HYj3ivBTw/51YmLd8KngcCr PR4Mv94DPx2Bby7Au9vAv1jwawr7lMEf/sB/FXG//bEejP0HcH4V6HVDfpoG /FTtxfgPEerjJ+H9CuB/OvJBPPJDJ+Sj6rUsf0SCfgbsMQ/5pgv8bTDiwwTz jrjfE9g/EucvIL8FIh99Rv3wA/VOxvv6+Yjy51Dk0y3Ir7eQ3w2Rf6eDXjn0 v4b7Mob/2iAetuWx+I2KZnNX+J8+9q/E+fugF7GJ0V+K/N5Ti/H/wOV3qke2 oz5p5s/qFRXUL+tw3h/2XYD7keBPV+D/IYjXpcCXxZivxfoh7O+I861Azw30 76I+S0G91I+rl6i+24l6j+q/ZdhfCPt2gT9EODL/UYS/3wU+zHFjeFJxgOGf K/AlEvEbj/h8JLDzPUGvI+z3EPzatGD8L3H1J9XLEaifb2LdHvrchv014b+d 4N/aiMeHwI95wDs95As3zCuxXg08KUG8voT/Uf3mBn4x4D+Tq+f/Nf0R6+dS HFc3n2iZbizoY6Tf/Q70na3s11fS+bygMEbdSUJfmLpxtqbL5AMThfZKJWHP DGcI6B/PWa3o8X3N4QBp+vIaS8kkUEKfmbYi/+KKTcN2Ce31iv+oNooR0I+m z941vbLLoqvS506Khmsq0iT0rRlrrROidGSZgvEI484PelZK6G8zgia0KIwv rBa8x8+abtjklYR+N/PJyTuxTqMOSev6ae6Z+uudgH450zv055v88ueSvcHx ZT5h3wX01Znt8Psa7Kff7Q4zOjNBn+gcAl+Sh/h2tWFyhkJ+kvMd9DJuz/Ql vRSuMzukwj5khwErmd3aKDN7kt1mezM7n4H9yc4qB9m91OC+6F5+cPdHI63n fGJ0vHCvkZfvNTxo7SVUYpzfZ9r+K6P9pXs5eQNLf6+R5rZ+mqDvsU8wSU2Z 7hu8RxCf6uvOnZYl+YVb3J0ZmSOlBDyc6fMlXno2Jej8x6YlglGn+4lmj5Xl 1qtnHbcPUBU9zvvtvb1YX16ydmmt55Ua4fRJv4aVVhri1JcznfslqMmv+D3s 5Le8i9h+3xTR7kNreSnmm7GueYrtX4vz7UHPHPRVwW8/+B/2YfK4RDD5aiHv Fsh/oQ3TZ9t5pt+yvkzfEXlM/+EYFWHfBM7vyf5R8PuGiAND0DsJ+1knvxtg /zBacD7LxofyjeFLn2ZLWp8PRX9SOifpWk+bd/j5HSHWZcIur+ElwvVo81jd qy3lW8a1tho1qVhy0n5z76mhitx7z5upeqUd5V0dCrrOmGslOoQ/NpkVoCdX OVLmfXe0vvj6csIGjY9tRUfX0oUnbTuLLi6n3sz7aSRWYL4T64bH2H5PnJ8H enNBP6QN47dqLOOvvJ/JE+LK5POGvIGQPzeH6XMHepZi9IY9j8Me5L82yvVx gvx7zzIWB6OAG/nJ7J5ccU/iJ8ZvD+z367ft5X56hcLYGjZqVvvLlg/6I604 Yfvnyspf0tylxpln+hrLD1zSLzm/rKP4zU3FQtViuLywR5uM9QYu4ui3J4Oa FU+Urym8XNAtwFZMaDBQ0a/cUzxU0sTn3uWh8lYD1hxtr+wrDtZI9vgzbrS8 O+YVWA9pyPZ/e8DOPy9n9C6C/gPwGwf+u5YweV6cZPL9hrxbIP9GjPdgz2Ww 7y3o7w+/nQV8SOZwlfDDBjjjfY3hiyX835j8H/eY0YvdYyjkiYQ8hedUSq8M ay5GnmVj8YM7B/1Oe8r1c4e1Tf1jIG+mNGyl0ubx8pYrr0hJ76bK9eSyd6te hYid5I+Tls8YKO91W5bYftlucVHesqR1TQPFvRE+QeUvD4rvLOQzHleEicmY j8R6EPb3ymHnZ4OeLugPUWT8Hpxn/L9BnjGQ0wGj2k8mfyb0GQ8/DYW+X6H/ ONijEnloRPv6eYjwuU8HhuNHgN/pkxmuOPoyXPnpzuLjEeJ120V2z9txz33k TN4EyHv2peed7S5T5cNL2bg85m156vhdotrG70btUzeIEy5teNZ4fJrYTH1H WtOweLHDdF/n5o8vipMiY3teqcgWtxuuf+ZYeV40Mr4yun3QefEI5qOwboX9 DXF+KeipgH4i+B0F/6sYv0A+Zdg3GvL3gN82Qfx/H830jQeuTgLO/oJ9PnSs n7cp/+UNZ3myY3eWH6UAhtd7OjK8fhLFcCdZl+FOIOLnMuJnxgrmB8HKzA8i NjB9DkCf4Kbbh7hpSeICjOesxzps6JwijnT/uCnBPEcsmROqq3rpvtzpfo4w QCFNHuP3OHyrW7Fcd9Pdh3rn8+WpmHth/Rr2u+J8Jeh5g/5OjIfA/xnkOQs/ fQl5b0D+LdCnO3C8J3C2Avp/gj3KrJh9aofXr3Oovrg/jtUh3VF/bA1mefBK DsuDKVsZnqsDz1sCl44BlzQkFl8WiK+wFsxPouAnAvQ9DX1799lwPvFykVzA 6Fl9tsmGtSnyd8qRuv4Zt+WKuwpNBr69IYa0Xy7MXJQm/7WTze9gfSn2u+K8 JcY/oN8N/A6AfwnkGQP5RgJPTkL+IdDHBvpdg773oP8d2GMq7FM9rn5dSPXb a9R5inGsvjuD+qIz6otJeSxPWiOvFgHvxwPvM4Bb3YFbrRF/wxB/m+FHlfCj DNjjLewxxU5t54YRt8TuGM0XTH/b42CyuHnt4R2TVlwRbTAXsT4Zo4TzN0Hv Fehrgp8Z+M+GPAMg3wrIawv5r0KfNtBvKPRtC/2jYI8/sM99ro6m+jgAdbQv 6ufJqNteoW4LQv3hhvpjG/KoMfKoczeWD0KQDz4bMVzLBa4NR3xeRXzawc+u wM8OwV4WsNf8gQ/zLqvuEkdj3IKxHdb3Yv8rnPcAvUzQNwW/SPBvD5w9SPIh fxlA/gDo4w/9fKFvAfR3gz3GwT4LuL6Dxnf9mX0LsO/IK2Z/qyWMju8Vdj9j wOf1c3Z/npAjD/e7G3I2wf3fgR7kj7eh5234z1PYwRH+1RV2ao9xD+zXEXMn jIOwvzni/x7oHQf9YeB3CvzHQJ5tkO8w5O0M+Y2hz3YXpt8K6PsNdjSAPTqv Z/Y52r9+n0Z+mTOWxfvt88xvTYMYHqifZn5tuIXhxaxDzO+/3Wd44t6IxcXT DIY35oibYODRVMSVFvDqJeJuAPAsDXGZhdEU9mkC+wTC71QxF7Duhv25GAkf 74M+4bEA/p8gT0fIlwk890RcqwAfsw4y/SYDH2cgrhcBHx0kZp+YcfX7WsJJ CfmneDzD0UPIT6HA2fvI1+fsGQ57Ib8tBU7PR/77JTEc90F+TAHOr0T+LEce oHwzGPoTbr6GX8XDrz4gXmNpjvW72D8a50tB7wLGXeA3H/zHox5yQJ55B3mb oR8ogz5myDNjkK+10W/2Q7/pgzzTmXsHoLy9CvVQUS+W13uhXvqGvK+HeioX dYEq6q1i1A2uOaweW4h6Wx31oz/qDneMftBvIvQT4Tdd4Dc+XDyOB87FYr4W 6zbYr4/ze0BvFegvAr/eGCeifjSEfEsuMHmNhzH546DPFfSTDycwfeegT6+F Pdr0ZvbJMKr/bkJ15BHU5013szpzN+r3qQtYHZqP+l4NdarjKVb/L0YdOzKN 9QdU57YqZKM75H+Puu07/LQCfvsZ8VZyi8WbC3BsBnCsOfLDXMyHYr034vMe zmvBz+6DfiH43QL/NMh1EeP8VCbvPshvgH7mBfoMG+irvJjprwR7ZKIO/6FX /52J+poR6Bd3oe8pTWH95Hn0ReroN79bsb7pxx/Wj8rRF67G6An5SiDfY/QN TXDvpYgnEfEUmclw6jv66yvA/6bAfxfUAe0wp/ygBFxzBM4dBr4kgv5HxMk0 9KXzIE939IMB6AcXYLyK/toffeFH6Dv4GdO/BP21Nt7lFFfUf5ejPnsi3i8C 0IdLeN/Q0WZ9epcU9v5xHn38c4ynwH8/+D/FvbaA3x5BvGxCvCQDh64DZ52B 72f3M3yfirzZaRDLm3tQj6hhbon1A4fZfgucLwK9EOqzwM8d/J/DzxZCvqGQ Nw7y+0GflRj34r0nH+8Uq2EPK9hHn3vHpHefaLynyfAu5Ij3tg14N5qPcR7o bwH9Vbi3MvjtJMSDH+LhN97NROBMf+B3B+D3VtQBA5AX21xl9UY56o35rqyO U0P9NR31yC+8V3ohr6YgHzYj+uCXB/4N0SfPhnxDyM8g/0fokwP9kqBvCsa5 sMcs2OcF9+5L75Cqa9g7rxreKXUwLsD5bTi/BvfSD/cSBX9Xhr/3B468B47c BT5n4F1bA3nPAnnPHfXE0yusnpiEOq3JBlanRaL+tcO8M9ZjzrD90TivBXqP UWe0BL8T4H8F8uhDPno3j4P89tAnGPr1hr4e0L8G79tVGH9y7+T8+3jDNfXX 8zi7f1Sq788S937fkXvnb8zlNVWuXhjC1WEKTvXr269c3xDev34/lsb1uW+5 94Pz3PcUde696xb3jmjCvc+mce/eX/7yXaHruYJsg7TsXmdyPzgPHd7KWj7r 2ZwjYj+bvlPUxy0b6NI7zLNCJ6NxV9vZTXqNbFL9yja6a5M+/VJW2V3bpaoX HPHJrkWikuCm2s9evalOzbkYX/uPd1bd1bkZXDenddpP54ke0Sd+xJ/k4eUb 1/PwTm/HqbLq0GVm798EZh8Z87WxiXRY1je1W7vsUdnZLx8duG5y4bnMoihC /4SukjRIcf86w7PdpOhtfZISww2ku32dHJuP7iGkDDedd9fRQdB3ZHMFrDfF /m2F7Lz3Y0ZvWQqjrzSW8SsE/+WQh7ffHazHPCg/6rb5oKw2c0b6oOXnszs3 ND5w4u4jmfaguyduVzSSKhVV3C1fPMie9HTl0cWuTsKi7p4NNt7uK1jNDuik NcVKavdef/d6o76SoTeb29M69ndvzc6ngt78Boz+nCzGLxz8G6xn8vD3WwP7 Lcf+br/9bUSbF7IR3dY8GHD5d/bhh7NeXeysL0w4cbXtvXNDJbeC0O2m7ouk cT/v3JV/HC5tjzSxz5u4VtAd6HFy07FwIQvzK1Vs3QT7T8Sw83mPGL2hFoz+ SvAzBf+msC/vf8Nh/6XQ7485O2/+Mln11mQtwdcj6lH/P47St2mJs7o6ukip cUkNdsvOCgFba8bUyCuFPx0uNd6wQ1PM19plENHdQKQ5rSdh/+UZ7LzpaEbv fCmj3xj2iAL/FvA3Pj4Ww18e4D6coe8E0Gu980ZSR73FgqpP4eo7p14Ic8bc M6/ZbSXujcz9VHhujvjeLk4+s8EG8dE6P8Wy3G11c1qn/c1xfgjoXYT+YeA3 D/znQh4+fjfBv8tbMP+Jwv14T2f6twB9623hyUd1B4ul0wPjLvwjz6fDKp+a DM8WPYYkjhhseFdUXj+idE1YYd2c1mk/nSd5O8xk9DPBr1iH8d8IeXh8sUE8 OsPfB8CfEnBfZA/iFxDePGLZyHzx5oOb54zMX4vHtXdrJ5l+FJMVS0L31X6s m9M67afzRI/8oTX4WYB/eSMmD49/Y4AfZxCffauZ/6+Bf9H9kX2Iv0liUrli y4/i1Y/DEsc/ei5emN4k6+E/9qQ5rdN+Ok/0yH+jEG81loz/8wgmD4/PSsC7 3cCTg4hXigfyN7pPshfJo7oz6rllarLo7HDmW4ML2+rmtE776TzRI/oZ4DcO /DtAHj5/aI9g+BwI/LMCvlD8UnyQ/9H9kv1IPivfMJNR1vp1c1qn/XSe6F0D fQvw2wP+tcgXfH5zh/yuc5g+l/4/sudv0C8Cv/5zGf+VnD3p/iPgD1Xwj/gf zF8C/of9cxXoN0Q8XAX/75x/Ujz9QHypId46Iv5i/4fjPRn0J4KfP/jPU6wf 74RPKcCryeoMv+4AzwqBn83/N+OnGug1BP0OyMdbVRh/zaL6+El4fwb4X458 YPyY5QcZ8tE85A+1/2Y+onwxDPSuIh/tQT5aAP6+XD6i/GmLfNoC9ZEm8m1P 5Hd7yBuO/Hwa9+UP//qFeKD4pfgg/4vB/t+wX3/QUwF9A/B7gPw+icvvVI/M R30ioV65g/plAs57wL5V8AdD+FMQ8DkH8WoMfJFj3grritifg/ONQG8P6qW9 4DcI/C24eonquwGo916j/ovEflXYV8GF3ccWTeY/2vB3L8SnfB7DkwMfGP61 A76tx/qzJ2x/mgY7/xL3mwT7RYHfWfCXcfUn1cvlqJ+dsT4B+oyG/YvhL7mI t7fAhxjgx2LgXVvkCwfMw7Eux/5YnE8AvVjUkzLwe0f1OlfP/1v6o2ahmUon Ts63alL2trRkxwhZK4z0e2LnKJVNW+ZmWzuf2zDeblH2C5vBgesmJlr/cNvR 01Vtg6zIron1grbbZNGy2JZvruXbOOw12RmicTI7RCfV4aZmbHakZ5hbn0k5 vcMv2W6a7Zwre9isZa8HD+7KFOdV90/O2WybO6P5xqdXvmb76Xd6FDrzZXZb Ve8Eq7dWdp/blDXS93stUym3bJW+WlcyKAg5mbMx0+6CxvlQsw5GwlebocVX u2lIu0YE9wxQ1LdP3PdKs8z3Rva5XnH+SWfbCJpTzMOWeHjZl49xfKk1Tk1q 2Dksuv/8DoIQ75P+4cAa+5Nj2e+iFdtPv687yeiEgz7RuQi+d8uYPMTXvTWT c1h7Jj/JWQW95qkxfUmv3rDDTW1mH7JDEOxmbc/sSXYrhZ1bw/5k5wu4l564 L7oXFe7+aKT1ZqCzF+cPHy8rOx2yUfYSY9/rptZJljHZq4rfvwy5cTr71DWd Ge2758ka2k9X1068JOtbqvxRufebbJ2Vv+3HWVZkH1Ss2C2YP8zeZjWuZScr FSGjZ5+bkbE9pKmzfMoPr7AWpiSvvj4mbZA03tX5ck9TEyF5X59fIV0chNWn Phne799beu1+xrSD4khB23z4uMPZjpLSSDZ/j/UT0Wx/oAs7rw963UF/Mvjt 78X4x9S+/Y88Tf2ZfFUvmLzz7Jj8KvlMH40nTD9r6HsU+hdgLIR9tDm/J/sb 456e4n4UQG8E6PUq884ePP+KLPYNG+3OTjRvt7gs2zUkNku78EX2QJ0LG0e6 /5FlXXC4MSpdRQi9/KbXwbOC1CN8jNRtcmPpR2Buy6KvvaQUw8+v+/QfJpn0 Tv52uM1UIb/1UreZNwdIQ0/0HGjyboZQ2Lbx70c5A4UOq1TTr30MECbecZr5 6Ky70BLz0HZsXcD+yTg/APS2gP6GIMYvYxPjnw55Ll1k8k3TZvKmrWPyT4c+ g6BnJfRUg/6f4D+Gw5h9mtvXxwny70jEwWL4/xDckyHu6Qb4GYJfXhPV6rSK hkJQUzYGh1+eVVrRWdpe+fyaf7Cx9Ht0Zot284dJ/nvkA67MGyb8vDi1uMTK RzALfza+5tAq4dexdsdrBtwTFhfNq+lhdkTYqz3sUXO5ohghn3js+/bLwuLz DVq7nWonqlnqppgtv1c334J12j8N52tBr2oroz/uEuP3O4rxj4I80z4x+SZD 3kroIUKPZdDvM/TNQtxdhz02wT7aHK4SfvgDZ1oCX5Tg/60Qr2dwj6/asHvs BXnOQ55VE49p+aQ4ClM82di+3M97t+5JYUfx8x5Z8w8J6npBlwwsNMT4PXre lWOqhHEKq5zHNhgpynw8G6V16yk28DQKKT+8SgxWWZ5orDBSHDx6Q9PYH+Hi MSejpIPHJ9XNaZ32O+A80UsAfQ3wOwj+bSHPFMhZBTlHQX4j6GODuBKhbyXi /xHwKgz2GaRWPw8RPs8BjlcAv7OAK/1qGK483sziYyviown8zB/3vA/yGkHe Fqu/bZq8sp2ojvHqz5wGyU6+4v1CrfxDt2aJawztk4ofnRILJmvERThEia+a DFwxaspV8f1W9chwi7Oi67hrU5x1H4iT0pWVRv/OqJvTOu2n80SP6BM/dU4O sudRyCuH/I2gTyz02w88mN2A4fxh2OMr7NOhff28TfnvPfLkAORHd+C1P/D6 AHBnPXDHCPHZGfHD+wGvT9ShvScj/tGfxnN+z7S3WxWLsww19vf5xz69Dry/ PNrunVi0fma8h/BKbFId3+HAp4/i/s4enXMryurmtE776TzR4/nw98fHxULI /wR4sBT6rYW+o6G/AezhAPvIy+rXOVRfvEcdUoj6Qw15VEQe/AE8nwk8nwtc +gNcknHxxfsJr+8nzYF569M/1I0lteP/PPnHXr4lI6PU9N6LfXaf3BUW+kj8 1Ht95ON/fqc5rdN+ng5/P7zfk3yEBzWQfwr0MYN+jaGvGvQfhLogDvaZwNWF VL/Zo85rvZ/Vdw9QX/xGPbIPeXI08uRW4P0e4D2PW3z88X7E2+Op3+7nA9bf rBvXh5x263AqWvz2YubkpH/imub8Pt7+vF/zeMHjMOUryl+Nod8h6HsP9dU3 2ONIMrPPYKv6dTTVx0NRRweMY/WzF+o2A9Rtx1F/fPJn9Ycql0f5fMDjGh+f vJ/x9nrz9MSRypOT/svI25f3Wx4PeJzl8xfJ3wz6GKC+ioO+v1HHusMe1ugv nLm+g8Zk2NcRdrQ+zexvDDua67H7+QM7buLqEz7P8vmCxz0+fnk/5O3J/077 +XjncZTPT3zeJ/nDoM8D6Hcd+lpC/2DYY8x4Zh8d6/p9GvmlCeK9IoP57YtB DA+67Gd+/V6L4UV1DPP78Vzdx9cvfB7m8wmPi3x8837K25s/R/T4/MPndZKP 5OXr0HXQrwz6akH/4cDHeTeZfYZwfS3hZAryz07gaBfkp89nGc76IH+ZA4e/ Ib8pHGc4ncDVhXx9w+dpPt/wuMnHP+/H/H3wdIkfXw+RfJSvfyLPOKL+cIB+ WdB3GfLMUtjjEexjVF7/HYDy9hHUQ7p4v3iCemkP8v5H1I/WqAuMUW+1Rd2w n6u3W3B1I1//8Hmcz0c8rvL4wPs5f18837o6EvJFQt7X6LM8oM8g6NdzK9M3 Hvp74p0gHPbppV//3YTqyBh6N5nJ6szJ6GeW/WZ1+FfU9/dRp55G/T8fdew2 9Ak6qHNbYuTl5/2Cjzcex/j8wOddvp7h60Tirwd5aFSAvDGQvwP0oTrcHfrm KbA6/B36mT+ow4dy70zU1wSiX7yIvucH+smF6At74j1iJfqm5ehHs9BXHcXo A/m2QD7yUzWuXv/N1Z17ufqJrwP4fMbjMvXXRL83FydLIM96yBcGef0xzoI+ M6CfMvTVgf6N8K6VA/tM0qn/Lkd99l68XzTfx/rwQ3jvWYV3inR6B0Ef/wkj vVMkgf8F3OsP3KsZFy+fgavFNgyHJgHfOwPfKW8OQ96keuQG5puxfhP7J+D8 XdC7Bvoy8GsJ/hcgz07I9xjvPUaQPwz67MOoD30/4J3CHPa4jneKXtw7Jr37 LMZ72jS8Cw2MYe9tp/ButAvjAtD3gn374t7G495KEA9d/zA8uAtc3QacWQz8 1gZ+uyMvBqHejWnP6o12qDcG3mV13DvUcTqoR25g/yKcf4h8OAL0V4NfKvgv hzyvIJ8+5P2Od52+0Gcm9HODvk4YO8MenrCPK/fuS++QwXjn9ejC3im9MQ7D +VCcD8G9qMJvFeHv1+Dvm4GrInC2EvlqIPCZ+tSlyHvPUF+9L2L1xC7UaaWe rE5bhPr3DOpaI6znZrP9l3F+LOhVzWT0b6EPvg7+rSHPcMJ9yHsY+HURfjYY +jWEvufxfqsIe7TGaMG9k/Pv4wHc+hzO7gs5f57L4YTE4e8G7ntAMvfdoNK6 fh22nKtvt3J9w26uH6uyrt/nruXeD/y5d5n93HvXV+3674gzuffZDty79+i/ fFfAd6RkfFdKxXemc/julIbvUOn4LpWO71QZ+G6Vge9YmfiulYnvXHVzWqf9 dJ7oEX3iR/xJHl6+hNUn2m4PshF+GV5VjH48Sup52aq14fMlQk37xbE73kRI LoaDQrLOpAgBgzfaqVx4KKWfeGilNbaRvKbNi3cHe3+VBsbMf9J/qrI4P/T9 yyuihngccxHr27Bf7srOfwC9YNA/BX53wb8A8vD2y8d6qM+ttNW9FguhZXcC tozcKelu6zBHc1KCUNj5rvWE4UXS/QNN3xp9PC1V1Lh221GjI+76Y6E4XNIS K0zzXbp3UpGfCkoxPfKjlbyZGZuPxHoa9r9MZucjuzB6JyMYfdVyxs8b/JU7 MHn4+z0Mfdpi/4ONdqcXOqQKVbfvT1UKvyPdnrqy6FujL8LzsGO9LXM7yCNN VjR+OdJJXuB95KhDzx7yrJAR0998GSw+Dd9u1raXh2gQyubPZrP1Wdi/GOeD pjF6Y0G/Zxjjlwn7xEMe3v/mwv5noF8XnA9f6L9mgc5b4UKoVnsD7zby8Sb+ m9xUreQDk2rmfuzhIm7W/rLdrOso8Vj7jELhjJv4IOTMuQHhHmKBHptLWP+V yPaX4/yR9YyeKuhfA79c8H8Gefj4+Al/ycF99IK+z0Dv5rxum09YthcvFaxY mfdlkTzWvo9P0MX1ckPHqW6jo5eL187062jod1zUut7t5pTEM+ILzKP6sXVf 7F+H8+8WMHrGoD8R/PqAfyXk4eM3Df5tG8f8xxv3sxr6zwf9sBVjVL3675Rb LdYPOFhxWjT2WW6T7ZQn/m7f4XSn/+P/J0sP7mHRLEMsx7w71idhfxzOh4Ce simjvxr8JqUz/imQh8eXM4jH6/D3LfCn17ivGNjjpS/j9yF0nJdQckNsPlZ7 pfmLbHmPxE9Fr3Y/lQ86FZ7bZPxT+RDM345h6/3Xs/2OkNcd9GpBfwT4JYB/ AOTh8e8U8KME8WmC+Binw/xLuT+7PwPYh+Rb9CDh4JgGj+XVl1Tjq9xyxZeh l6/v07gv6l9m87FYPwh5e+J8EvxhAPz3AuJNBfx1IA+Pz6HAu73Ak4eI34Pt WDw8gb/54T4DYK8KyFdbcFunOveK2HjC+1ZNPRJErQds/hXrfbH/Pc4XgZ4X 4k0X+DAC/E9DHj5/nAY+Gwcz/NOPYPiSividjvjokcb8rwvu9yPsZwT57u3L XhosHJfrYf4H62bYPwH+2wP05oN+C/DrD/77IA+f315B/iXmTB8r6NcJ9qzm 7HkS9rkKe/2GPc0hnw3s6YX774f9D3H+Gejl6zL6U8EvxoLxb32ivj3p/tNa M39oCP/oBX/ZAf+5Dv/Ugn+tgr8lw/9iIW8B7FeDeSTWl8Kf9XG+Cnj2qQ2j 3wjxcPU349+D80+Kp1DEVwjibSribyPicQXisxTx/gvxPhz8o2AvNdzvGsyN sd4A8d4V8X4V9IyRL06BX4taxv8WF++ET2+BV9eBn5uAZ4eAn1uAd4nAPwXw awT7rMZ9RsN/L2JO+ED7N+P8cdCbBPoS+CUdZ/w9B9fHT8L7vh0Y/j9APshC fshAvjBcxPLHEdBfB3t4AV8y4G+tEB8FmJdg3RP7V+N8o4WMngXozwS/vuBf xeUjyp9VyKcqqI/uIt/uRv49B3oPoX8A/GEa/OtbGxYPZ9ay+O2L+LuE9W7Y H4vzF0BvGug/BL8y5Hd1/fr5neoRszxWnyxEvbQX9UsNzj+CvkdxP17wp2TE myni9RfqJSPMF2Fdhv1BOB8DeqGgPxb8SlAvFXP1EtV341Hv3Uf91xfyNoF9 P+M+YhOZ/+xAvA1CfC6xZHgSvJbhnwB8W4F1N+xfEM/O3wa9u7BfP/DbCf5u XP1J9bLnGlY/j8W6FuyrCvsvh//+RLytRjzeAZ41B97FAZ+vAY9TsT4d+5/h fD/QOwJ/+wj7vUO93nxN/Xr+39IfoZ9LkfXp/Y9+xsIQjPT7ip9LqxXm95Ws bPdlZzV2ktAXpu4LWzI4Y8dEoUDVr+8q3RkC+sdzNYO0rr6MCpBaGW052Lpj oIQ+My10XWzhl6G7hDNNwlf0qT0uoB9N334iJKbnpKvSTp2royaXpUnoWzPC UtpOqJqdKfi83Ja62KyS+tuMrZPajre5Xi00aLGwvODnS+qDMzPcGq6vrT4k RejqTX784R31y5lfpx8zdHj7XDrewyF3z+rv1Fdnzp7Bfrdpy/bT71tGMzqh zRl9ohMBvsMhD/HddpbJaanN5Cc5C6DXlKZMX9JLD3Y42onZh+ww0oXZbUAz Zk+y2zrYWQ32Jzuvw7344r7oXvpw90cjrTcAnbk4n1z7Zm6SpZdQjHGUoB/2 aai/dM/cbmf3qjWSydLDe/3c9gnTIhqVxK3YI/xZV7zk5egsKaNje81+kTnS OD1f/8zMM9KewV1Dn/55JmT19vVKyleWH7I4e/3sQlVxTWV0Ycp0ffmNtuZB Cmk1wsqLjh+XmmuI++alqbY8qCZvZ9FvZos5XUSX53N7bShpLe+Lecf5bL3F Jbb/gi47bwF600DfDfwWuDL+g9oweQZ3YvIdhbxx4Uz+/dDH3ILpNxD6pkL/ exgjYB8Nzu/J/r1wTwG4n46gNwf0Cr/3jjt6N1qwxKiZpTgj62G2tGfB4aSI 2lRpQbWVm+7rO8LABQvH7ncrEdooul5dlt1S/uZcjG7FxmKpStTzjvvVVP7Y XdbV50lHeccnlhODp1mJCXfbvls/X0/+ycF2VYGoL45asOZEn/K2otEzz8Fh Vp3F9zn31Od+NhILnrJ514Vs/Sj2d8P5gaB3GvRP9WH8Tp9l/K0gz1vI97KK yftmPpN/APSphH5rMWpBf13Y4zbs06ZZfZwg/w5GHPSD/4fgntJxTwqw19dM xu9djfHoTO1C4XYtG1uoX3yz1uGP1O3Uwc8j1vyS1EwXuTY1MZZfrxjXunxu R9Fohna8rPNw+eHG/v47W7uIWW02h2nenSif4/k8xHixrZj423Fw91ee4oXQ i+HZGUPlE6pn/1zV0Fccb/1n8u9ho+ULMZetZ+vL/7D9/Sew81agNw30y6cz ft3Bf6cJk8fyNJPvTQsmrx7kX4VxEuxpDn1F6G+IuPOCfe50qo+rhB9LgDMf 1jJ8cYH/X4b/F+Med+Eev8Je42C/MQkV6v0mNhcPx7FxtMPDksmHPeUNpw2a fETdUO7b9ezZP8Hj5ZL/p12H3kyVnww01Ch9HiLuuWC+w9VxoPxBTU3lhGW7 xT3t833fNAkUu4fs7Hr79UFx7s23+v3Lw0RzzM9i/Q32T8X5N0QP9APAz2AK 4z8d8rSCnJrxbCyCPZ9Dn+mIq93Qdw/0t4Q9goC/1k3r5yHC5+HA8UvA7x3A lV1aDFfUUlh8tEN8iLjnRbjnFMhrBXn3ax95UN1vqryoDRsnjNI+ljdul2he ebSmd/oG8ezDqPOPxqWJWt1T2q0Nixe79VayW/3oojhxkM0Z14pssVu2QWqf j+fF6EUBh5MCz4vdMR+GdQfsr7Zk5++AnibonwY/Z8gxDuMUyBc2mcl7AfLb QR8L6LcBeDBfh+m/BPa4Dfv8aFM/b1P+m4w8GYT8uAV4vQh4nQPcOQnciUL8 NEW8roQf/IQfVHxk+qyAPk2jo7430ZJEdYyD133xXmuUIi5edDR+t1mO6Gv8 7qfLxfty2fBZmfcU0uQ7bEtbBw8tlnfrl7i4dU6+fD/mnlhfif0+OL8K9DRB vy3Gc+D/BPL4Qb5QyFuM+O8HfXZAv/3Q1xH6u8EefrCPE1fnUH1RhTrkBOqP +cijI5EHXwPPFwDPbwOXvIBLJoivUoov+Mlb+MkY6OsMfaNGFSx/falIfgBj jPKry97rUuQrZ4bsUc24La8a/CRjS9kN8VGBg+vqRWnyJ5iPxvor7D+K8+sx zgT9ReBXAf7lkOce5GuVy+S1hPzNoE8X6Jdzh+mrDf1Xoy5YDPs4N69fF1L9 1h113o5hrL5rjPriOOoRJ+TJ9jKWJ5sD72uQHxrrM9zKAW61Q/y5I/6C4Ud7 4EcusId5Y2aP2Nmm0fLht0RfjLdvdTmtfyhZlGX1eNd6xRWxBPOtWI/BWAt7 jgC9CNDvAH6DwX8E5LkC+eTAWR/kq77QJ8qe6ecKfU1RX5nDHmMmMvs4ta1f R1N93LAnq6MrUD8fRt02DXWb83lWf1ih/ohFHvVHHr2OfNAY+cAbuDYKuOaN +ExGfKbAz3LgZ2Svy7DX561C0k2VXWIpRo1wNqZhfRj2F+D8CdCj+LcGPyfw j4I81pBvIeSdC/m3QR8d1FtDoa8N9I+APTrCPlVc30HjJdj3Mvb5w/7eoPMd 97MAdgzA/QVDjhbwR3XIqYb7nwA91sM/zkNPN/gP2fEA/Os87HQTozrsdx3z Cow7sP8Tzs8FvY2gvwT8BPCfBnkMIN9r+OMayJ8DfRKfMP3SFzF9l0D/R7DH wpnMPn3a1e/TyC+bIN7NpzC/bQA88IRfHwRejIbfh45neHIGcdHoPMObs4ib zcCjaYgrGfBqL+LuCPDMH3H9DvE5F/YhfDSF3zUYwuahWE/F/lKMEaAXCPrz wM8W/FVRF+yGfCWQdzLFNfCxrS3Tby/0HQH9N8AeWvOZfXpxfS3hpIj8Mxo4 Ohb56ftHhrMbkL9MgMNeyG+/WzOcHov8dxk4Ho38qPKI4bwS8mc48oA9xkTo T7i2GH51BH5l+oDFawTmq7C+BvvjcF4Ger0waoNfDPLMHNRDyZAvEfI+Q57J gj720K8U+kYhz2TAHrGwTzD3DkB5ewfqx+BkltezUS/tRN43Qv3ohLpgGuot ddQ9S1A/XkNdMQf1WgjqDi+MraHfJejnDr8xh9/4IB5tEY+TgHMyzCle+2O/ K86Xg54u6PuD3yCMDSFPIeRbPJXJawn5D0KfCdAvIZXpewb6j8U7QSu87wzQ qf9uQnXkKdTnCidZnRmE+n26JqtDlRey+n4A6tQQ9FdeqGPD0CcsRJ27A6MG 5H8M+b/CT9fAL94h/j0Qb0OAY4XrGI5tQH5QBa65YD2e4hPnt4Hea9DfBn5O 4D8W8ozH2AX9zHHI/xT9DNXhR9HPnNBm+tvDHsWowx24dybqa9TxDncFfc8o 9JO9Q1hf5I9+cwv6pkvoR0eiL+yNUQZ7hkK+xfBTbdz7PMSTL+KpRQ7DqdOo n7ogXzkD/yXk1b6YFyA/OAHXCnG+Mei5gn4N6ust4O9N8kA+HcjbGGMC9AmE fs7Q9wb6QnrXyoV9fnPvctRn5+L9ohZ9+Dq8b5guY336ih/s/eMz+nga6Z0i AfyPwE/H417nIF7GI17GA4cuFTMceoB8NcKG4fs+5E3jxyxvbkY9EoQ8OgTr gXZs/x6cTwc9U9AfAn5DwN+B5IF8ZpB3EuRfCn3CMGbjvWcl3ikE2CMe9nHi 3jHp3ScQ72kdN7F3IV2Fsv+8txXg3Sgboz7sqQz7bsG96cFvfyIe+rRi8dAA uLoJOBMG/DYCfr+8zfJiFer9Cz6s3piIekM1l9VxnTB/ivrLGHm0KfLqQ+TD KaC/GPyeJTP+ByDPH8h3H37WE/I/h720oN8M6DseoxLsoQP7uHHvvvQOeQ/v vM/wTlmBsT3OD8F5P9zLb9zLdPj7Lfh7NHDEDDh7H/kqE/lrGPJeD+S9Gh1W T6xazOqJz6jT/sxidVoq6t8mqNtmYr1sKtv/DOfVQK896HcBvxPg/xO4thzy zYG8H/A+eAz6DId+p/DOmIf321jY4xzGudw7Of8+fpNbX8LZfQvnz4pG9XHi Eoe/ftz3AJGrFy6o1a/DUrn6dljP+n3DIa4fu6FWv8815N4PpmvXf5c5wL13 ZXLviGu599l23Lv3/r98V2gX3L3G81x2r/f91TteHdbKOi195CAjsZ+Np9+l 9tcHuPSOuTGyuknjrrbfNONGL6t6ZfsmwHT7muRVdv0vaf9pEfHJ7sa8qT53 VfrZ9/qyrrtNjK+9FD1DJfJGcN2c1mk/nSd6RJ/4EX+Sh5dvRqWC4XeZr2xA 58pzei8jsi3mvV6okJkkW92x5axGw25kD1o38PH73E+yu15xpQkaWlLQkQCr zydF6UNgrEFFmKU0eHK3DU7DHQVhRsdvY20HC9GYj8e6Hfb3xPnLoPetA6O/ DfxE8A+CPLz9aozZephLq3ZaGxNketZW+fFL7mQ/aLC0qPTGW1nt3pSLO8s1 pYLh5kKp6evsgiK/2nYDRwk3lDrsiLk2XDi93Krn8WlOkv2CV0XXjYZLk1aw eSDWY7F/6BR2fts+Rm8Z6G8Gv73gbwN5+fsNhj5x2F8xd3PmEKvPsoihTy5u ym0mKe1um7jLtJvQzLioUjV+ojS30Ex5+pRAScmkuUGzRzMly1q9Zu90w4Xb x7LUX6ZHCRMxz+jM1vth/0Qjdr5BJKP3fAijbzOP8QsC/82Qh/c/B9hfB/r9 HMzOvzwxX9KaaCQcuT78VrKmu1SdYD+hLHumlOuiF7ppR7LgdfOT094XlYLP 7JrHjfdqiuuz3j3vYW0g0nwy1rOxPz+RnXe9wehlgX4N5J0N/jWQh4+PSvhL Je7jBux3GfTG13w6vdF2qWCQ5vipUP5c2G+yoGN6sJXYyl1q3CV9jpis5e6V 3OifPidkrf2Ki9vq5rR+EPuNcf4M6DmD/lfw2wP+D8l/ufj9Oon5tx/8RwX3 Mwv6m4F+/2fhZbKmg8Wtuva7u/8jT8kz2RvbEdni7KFvL202vCvO66y49XRY Yd2c1mk/ne8CekpJjL49+I2fxfg3RLzx+DII8bge/j4c/nQG90X2I35Ji80H OYzKF9dMW+6gZv5afDdo2bMhph/FNuELtWxrP9bNaZ3203my7znQ7wV+4eDf HvLw+BcA/HiE+DwF/58K/2qN+yP7EH8Pg5OLYjU+ioE+A+KXP3ou7i9ubeO5 qbBuTuu0n86TP5D/rgG/zeA/DPLw+LwAeBcDPLFGvC5EPJC/0X2SvUgehSyl KX7nksUB6xbYnPnHXjSnddpP54ke0e8Pfl7gvxzy8PljOvBZAP69Ab5Q/FJ8 zIf/0f2S/Ui+eYlfOmprtq+b0zrtJ/8lekT/BfgtA//JkIfPb2sh/27o0wf6 Lfpv2jP4/6E99f0Z/6OcPevuH/6wHv7REf7i9T/sn5NAv10Xxm8F+Adz/knx 1BHxtRjxZof4i/8fineilwP6q8HvA/jHcfFO+DQAeNV1IsMvX+DZDOCn8f9m /DQCvVrkt2Twuz+a8d/N4Sfh/Vfg/0XkA1vk35nIFyXIH8b/zXxE+J4Eer1A vyn4bQb/Ei4fUf40Q/0Wg/yqi/rjEfJvKOU32Jf8YQL8awGX3yk+yP9OY78b zhM9jZOM/nTwew3+hzvWz+9UjzxFfVKEesUX9ctknI+DvktwP33gT76INyfE ayHwxRFzJ6xb0H6cHwt6qqA/F/xOg/9Nrl6i+m4p6r3bqP8SsP849PuB+1g4 jfkP5dc7iiw+PVcxPHFeyPBv+Uo210b8Tsf+dxPY+WeglwD6j8CvEPx3cfUn 1ct5qJ8XYT0D+vSH/buFMH8xg393QTw2B35kAu9WAJ8jMNfBenPsd8V5TdBT B/1H4DcV/K9y9fy/pT9qNWFim2cn5lsVDTrULyp8iuw2Rvp9yY1nj/PX+2e7 FH79mWwdmO1S7R+vOTHRWt/YL/xDkyjZ1ySFvFnah2Wev9p+sbyWbzPveNL0 WrX0bNew/WcmNM/KtssLVC6YmNPbbMnwWzlOd2WuGyYHDih4IUtp1mHIJ/lm 24odJUHrzytKxYnnm/ad8TXbobOS1vFyKzud68WPFoZ+lz29tM4jfrmppJ8+ yqLZxkw7Bd9Fg1bqWQmPD2xoMc7UUFp78/WnpEb69qGv0nz9fj7JnjZCpfW2 M52FVtMzVqp6eNlPzJ3QfsE4Pal2woOUubN7CB4ZW64EHlhjX4HfX2A//X7m E6PjA/pEp8qH8T0CeYhv8DUmZ3wCk5/kNNzJ9LoPfUmvGj9mh8cbmX3IDhmw 2+izzJ5kNxPYeSDsT3bejnv5gvuieynn7o9GWtcgOjj/+k1k3zuBe2TOZWxc Pml5oab5uexJKm2/xV3NzC70bTV+qkWhTP342VmBcQWy2+aWamU9fmRXyi9E 2lr+yrZMvzSpOq4se5yS/pPOZrrCztel/Z2PO0olMhsPXT9nITRI87Asaaxk b2IlruloKzi2ebBd0h8shKsXzbMTBkq1sQN+7fs9VViVl9W9edoIySCOzWux 3l2b7Z/bhZ13Ab040LcFvzmKjH+XZCbPxRwmXzrkzTjG5HdczPR5D/0ioa8t 9O+CcRvsY8/5Pdl/GO6pxIjdzxPQ2wV6uwsqN0XNKZJV32dj8fMKsatPVfa0 1Sp9V93/nB12XvnUDw81oZXCjCkvz+kKzsm3xk07NVTSqywJcfNtIzmNnvd7 ZAsnqWN6Svebjl6SzreJ0iVXHyGxuoPm4w+jJS+PzO0HhswTMq7c1ZSujxYe X/KfXVoYKCir+FV+vTdFuI/5sKtsXcD+XjhvBHp/0hh9CfwevGP8F0OeRg2Y fD9zmLwakL/5C6bPDui5DOM66P8M9ugM/3U5Wx8nyL8tEQfb4f9dcU9zcE/3 Ahi/s7Cfn9dcsbi8pTBhMhtvPk7JHfrWRvK7ZRfoFmotqan+2BPTZ7I0712R xldjLyG7yEroeXaq1KB2qPNy/w1CH43ULf0C7go7ujxWHLb8qNC3Ucfi9YWK omXlV9cX1y4Jti0KZ82/2k58HXbs0YGSu4I95iZY74f9K3DeCfRu1DD6ZoWM 37cKxj9OhcnT4zaTrwDy1kCPrxg1YM+WsG9P6B8LeyTAPvc31sdVwg/NjQxn NgBfGp1n/n8c/u+Me7wpZ/cogzwGxUyeFqZttF27ugndO7PRfVzOvfMqR4QD v1u28q45KHzP7NvnWQcN8fQK+yN5baqEfUHn7ZsojxTzQre8WmnRU3Q8bHZz 2LFV4q0lemeONBopjtUoPLWhKlzcEmC/dnTspLo5rdN+Ok/0ToE+8UsBfzfI o2zC5DPCWA57GkAfNcRVKeLqFPS/Dzz4Dfu84vIQ4fMM4Lge8LsLcGVjIsOV I4iP0YiPAtyzD+45FfJOhrzfhnQ+s39OO7EKY7fem979GeArjihVW9j/7izx fOGs8rbFp8Rqrax/qrUocdGLPwZPp1wVG318cGJkt7Ni2jTdToG6D8RBuspL HP5k1M1pnfbTeaJH9Ikf8Sd5hkE+OeQ9A/mfQJ+F0K8T9NUCrpI9jGCfsQn1 8zblv13Ik9uvsvyYCLzuB7x+D9yxHcNw5wXiJxPxE8f5Aa9PvKPbDY9/9Kfx +dGWmSlWxWK7Us89fv/YZ1mfb1madu/E2a/bKfUTXonr43OmOX76KA5tHp+4 o6Ksbk7rtJ/OEz2eD39/JB/J+/ABkz8J+vwErpZD387QPwr2qIB9Qrk6h+qL E6hDPqP+iEUeHIg8GAk87w48DwAuOQOX+Pji/YTX98IaaZ9N+oe68XrMiPHX /7HXsZme+Q/avRe9vJW2vQ99JHoZDNuW98/vNKd12s/T4e+H93seTwZC/iXQ pzX06wp9zaD/FNjjFewzh6sLqX7LQZ03s5zVdzdQX5xEPdIPeXIS8qQ5h/c8 bvHxx/sRb4+JWRv0tDbc/D9Hp+ndxdho8ZbSDssv/8Q1zfl9vP15v+bxgsdh kt8M+nSEfj2grxLqqzuwR/RnZp9sro6m+ljTk9XRXS6w+jkSdVt71G0qqD/O o/54yeVRPh/wuMbHJ+9nvL2O/d604UfSJPEIRprz9uX9lscDHmf5/EXyv4I+ j6CfCfRVhv67YY+16C8MPOv3HTTegX1zsa8Y9m8HOkNxP7fBpyvuj+Tg8yyf L3jc4+OX90PenvzvtJ+Pdx5H+fzE5307yN8F+myHfhbXmL6kfycNZg/7i8w+ 7u71+zTyS3fE+zn0bXbAA/JrfeBFV/i9D/DEEXHB1y98HubzCY+LfHzzfsrb mz9H9Pj8w+d1vl4i+VdDH7VRTL+e0PczcC0K9jjXNP0/9gng+lrCyRXIP7nA 0f3ITzrA2cfIX8rA4SvIb4OA03FcXcjXN3ye5vMNj5t8/PN+zN8HT5f48fUQ yUd1rAj5ddAfUB41Rd8VDf2rYA89vD9Uc+8AlLfLUA89wLvAdtRLc5D3E96z eioadUEr9Clt0Kec5ert71zdyNc/fB7n8xGPqzw+8H7O3xfP9wfkIfmOkbyQ 3w76HIV+Hz4wfddB/x+wR2g+s09gYv13E6ojldHPWKHObIJ+5jfqcDP0M0Go U71Q/29CHbsA/cFQ1Ll9MPLy837BxxuPY3x+4PMuX8/wdSLxp/6K6vDfXZi8 +yG/HvRZCv0q0c9MPMv0f4Z+phvs85p7Z6K+phXe4Szx/vYA/eQX9EUO6Den oW/qir5aDX3hd/RXW2DPSMh3DveuVVS/Xu+HeLoKnOrL1U+2XB1gy+UzHpcJ X2JBv4j6A/BfDnlOQD5tyN0Goxv02Qf9hkPfKuhvjHet6bDPjLD673LUZx/D +0XrGNaHT1Jl7xvH0af/wPvHPPTxPhh7gv9e8D+Be43FvTZEvLxCvFwFrt7+ ynBoAfC940iG75Q3BeRNqkfWcnXCDOQDOn8V9OJBfxn4qYB/MOTxg3zDIa8x 5HeDPqMwZkJfX+jvAHu0gn2CuXdMevdZhfe0eXgX2oD3tid4NyrAeBb0g0Df Eff2Gvfmgvh3Bx58or4cOPMS+coV+O1RVT8v/kC90Qz1xmHUcb/xHvkQ9Vcp 9u/HeU3QuwX6XuD3C7jeHPIMgHwVkLcf5I+BPi+gXxH0LcR4BvaIgn3CuHdf eoc0cWHvvOV4p/yMMQznV+F8T9yLIu7lGeKf8MADuDoGODId+JyE/HUQeS8L dcHrzqyeKGzP6gkP1Gn3LrE6LQn1b0vUbUpYr1Jg+2tw/jDohYC+NvLBNvDv C3m6Qj4LyHsP8reAPm7Qzwv6LoL+P2CPGowdXOq/k/Pv4xbc+krO7is4f27J 4YT1xvr4e5z7HrCOqxfe7a9fh+Vw9e1Yrm9o616/H9Pk+tw53PvBN+5dRm9j /feu39w74iHufXYe9+5t5/J//V0B35GS8V0pFd+ZzuG7Uxq+Q6Xju1Q6vlNl 4LtVBr5jZeK7Via+c9XNaZ3203miR/SJH/EneXj57PLfXktaaiOUmQ/c4HZ3 lDT+2tw/3g+XCGOUWvvvLomQzr5taWF6JkX4kzPskHHcQ2nltNVfnw5pJBc8 4gyqzL5KSYaNi41GKYuVh/Z52fbSELU7sPnuUWzdBfttcd6xgtEzBf0i8KsB /7GQh7ffbKwvayPdjjZbLBxQcE3oNXSn9GHEHuu+YxOEg/GmC966Fkm55fNv RHY7Jc0JfFXm811HHHbj98mkBC0xWqj+EmCgIj9wWu35jw+t5NYimz+8ztbt sf/tb3beOYHRewv65g0YvwzwT4M8/P1mQp/Z2N/K6kTbJJtUIWT20VVLw+5I ih/NlJc2/iIsVLq2/FdyB7ma6W/Tnq5OcuWDyVWtu/aQh75N76peNli8+nbh 1JOmHqJiBZvPOMDWi0zY/qY4HwJ6Q0F/PvhNAf+LkIf3v0mKzP4+0G/GLHb+ xkPDohvqb4WIkKHPP01rI4/M6Hes5Ecv+QLXa6PmmLqIyYZLDwwwGCUOb3xK HHjOTfToqtv0brSHOA3zKVh3wn61THZ+aCij9xH0G0DeHPAvhDx8fOyFvygm svvYCX2F9Yxe4x2Nozwntxd737rSZdz7RfK5Bq7dBkjr5YLatgnmR5eLhcGx 94YtPi4e2t/E80L8GbHpWjb/ifXO2P/zJjvfbCejlwN594JfMvxhHuTh4/eY nPn3V8UF//GfWEV2P79hvxTQT608pPRbtlPe7Zz6l6y3p0UvOylyYP88cZXq 4kuDqi+IXuUbTVxVM8QQzIdhfQD238L5+6BnDfveAz/rxoz/NcjD40sfxOOd NczfC+BP/V3YffWDPfanMn77eydZD3xyQyz92vjm5hfZ8sQTD0I+7HwqXxKz pN/gsU/lMzBX/sbWq7C/I+Q1Ar180M8Dv4aINwfIw+PfGuBHJ8RvU/j/H/iX fQt2fy6wzyzwnxU2ouJQ7SO5WDIope/QXPH3+Yavvre4LzpiPgHrKdBnKc7H Nmf0noC+DPxk4H8Y8vD4fBX45w482YD4HajM4uEj/E8Z9ymHvcZBnicXxvR5 d/6K+OXDpo49PBLEN5h7Yz0e+/1w/jronQP9MPD7AnyTIA+fP0qBz6bAv/PA l7eI34eIj6wy5n/euN/Wucx+zyFfpoJDgdj7uPwF5p2xPgH7D8B/T4Bef9C/ CH57wf8D5OHzWzTkHwF9vKBfa+DLK+jfHva4DfvowF7XYb8CyFeL+TKse2P/ SJw/QfjQiNHvB37P+jD+mZw96f7l8Adb+Mc4+EsF/EeCPznDvyzhn6fgf4aQ 5yv8Mxxzf6wPx/6xOC8HXt0D/QzwGwn+ih71/ZPiyRbx9RLxfg3xF414tEB8 XkW8H0H82oE/+esh3O8NzL2xfhD7WyLed4DeCOC/MfLbBsT7Hi7eCZ8cUB+U VbP8q4L8VgT8/A68uwH8q4C8FrCPMe7zB/xXwNwJ62+xPwXnGyBfRIO+Mfit /8T4b86pj5+E9xOB/4HIB1uRH1YgX+Qhf3yAvP1hjzbwhxT42x7ERwbmfbFu hf2fcN4Q9DaC/knw2wb+S7l8RPnzO/LpBeRXXeTbeOTfq6A3BPnjLPxhuwHz r5kNWTzMMWXx66DI5pbwv0TsT4L9ckFv6iNGfz749XBn/Bco1c/vVI+o57P6 ZDXqlUjUL844Xwt9vyG/PYL/2sP/VyNeJeDLMsydsH4T+zVxvzdAbyTo54Pf QfDvnV+/XqL6TsGC1Xt3Uf+5Un0F+77AfYxSYvlXBf5uhfpSx5HhyfBYhn/J wJd4rH9HfDp8Y/53FfSUYb9E8DPUZvw9LOrXn1QvL0f9/Bn16S3Ufw1g/1T4 yzvUB86IR2fg2W/g3W/g80PMA7DeF/vdER8nQK8r6DvCfgLku8HV8/+W/gj9 XEqzdS9jBh01FsrWspF+Lzg3v+TXjL7SrPWabe/V9JfQF6YuXmLTodXGiYLG yambdDVnCOgfzw1/2lMaEBEgfZu6J2hRu0AJfWbag/HLX4wesksIbuOm7fvr uIB+NN3wXO0BlyFXpXvXmvj2e5UmoW/NaCZTN03alSncXBR2V8uokvrbjB35 uw7n5lQLVcGB37e+f0l9cKar2/5q2f7D0pCL0c6jX7yjfjlzdVZN3om3z6V3 vw4cy/P9Tn115jn8/hD76fehHoyOD+gTnTXgewLyEF8zeybnuKtMfpJzKvTS 02b6kl53YYcnsA/ZIQ122wp7kt2Owc7rYX+y83vcizbuje6l+7r690cjrbcA nQs4P6nz6eBLpl5CHMbzmpWv2jr7S6NGLu+/+ssaqdwn49u1gfuEV0p71SsW 7REWnPPWmOaaJZ3SeWrfNjJHqh416W3DdXHSqehF1z68eSZcV56j3DdLWX40 Ze387lNVxersFpoHPfTlp3/mvY6JqRHkMftyGhlpiLdqs5LebFWTV3bz2hQ/ oYvon29e9eRua7meJZuPVcj+z/rQE2x/VjU7nwp600F/LPht3sf457oxedrq Mvm2Q95rkH+lL9PnFPTTacX0vQj9t2F8BvvM5Pye7L8N91Tlx+7nIOh9hf0a VT/tqXY9WuhSxcZDV2K7197Pllo3XqHTqzpVanV6fPWmt3eEw2ZRpx8PKRGO tAqvKk5sKe/VfKHXlNRiyTvIK31TQVP5o9Y+5lcKO8rvjCocc2SClei81iY7 fqKe/NPq6/tKO+uLER+k7IWlbUXzqfu+z+3eWZzR6E/p3LdGYm/MTT6y9Ujs 3xXMzueDXhzoPwe/BSqMvwR5Opoz+T78L2reMqirr+v/N1ABGwMsDLADCxWQ c1TAwFbCBruxW1DAVuwWsLEVAwWR80EQCzGwUEHFbsQAMX/Xde3XdoYz853r vuc//wf3oz2HvfeK917rvdbenxn2C3t/FRT2v8SfJ/hXGH8twfMAeHgQv9t1 PCHjuz55MJr4X2MkzimBc+qEvn7oa7v19qgmpe8qG7aJ0X5zts0Gm19aj/N3 ne/O+6GVyqzycVyJGgZr219Pyw60UrVSj/0nVuluKDNlbpndRVzVyJLmbSpe HGD4ZLTwueUoO9VxQrZdxuP+6q2mEc/2H+5iaBkZ3uXh74lq805jyvxu62no w/dIWzH/lfVl2T8MebcnC/lz0LelqdC//aOwp8oFYd807B2E/W/wJwX/TuPv cfxvTNyuBZ89Ol6V/LENnnnaR/DLKOLfifgP4ByT9olznIQ9p7Dnz43sqydH F1NPJInRMfDJ626b+htGFZlwc6FVVcPbYvV7ZM3saxheIO7oqieDDX0LztvY 4eEC9VzLno1qWLY3fOiYZ/iW6RvUcokpmzv8+//+3Ck39eSrber7J/7XD71Y qi7l25r5vJ3E+lMOYr8P8tojPxJ9mqnQ3wZ7zlwT9plibwT2O+HPfOK0C/5O w/+O4DEC/p1gkbsOSX5edFHw+Gj4O2GL4BWzjoJXVhqL/DhBfrTknJtyzgWx tzz27sg49t3bcbBh9gcxXl0R/yql93q1T+tuBXueWax2PX3txKE+karXpGI+ v//9f0ie+Vf+eO+ceqX7E+drb2LUlssaBCkfzqoud1J/tPU/q3bi+yTzQ1nf nv19kFcZ+VVWCn2/0d8Se1pj31UTYe9U7HfHn1j8e4i/Pp2F/8/BYzz4xF7M Xbdl/VtAncxoIeqjC3zdDb4eD+8Unid4J5n8WUr+3DcScZBaXMTB81bCn2/g d3PpuY1xpTU1hXFG8OKYOVYRalGLkHd+dWPVtXdfvV0Sf8tQ6Xi7Ct55Iw0Z xbqETe2canCr3MSxuCHR8JJvU+bXs74G+32Qdx/5mYz1wdMUfFtiXwXidiL2 H8efRYHCv4X464D/Eo8bdgKflbo+R/YX8+hDetF/HKEOLqMO3oTPz8Lnz/ML XmoML321F/k1gPx6PVHESSBx8s5c+NsWfxuNMm1ZISHF0Ipx+Kz8IzotiDAc +BhTfUvUdUPv40lDb79IUrct/DVjw4RIw3C+tzAfwPpm7LdinI18Y/Cdj357 4nYB9kXAJ9WwPwd/ZL16j7/z8P81eIwBnx26vlD2b0vp8xr0FP3dd/oPM/qL TOqogTqZQz04DN9PgLfuwnMLyb8Z5F9H4ugwcbQAPJLBI+BV+p6v3a6pnoyl Qt/2LrLjhFpns7HH1RkX1bx8D2Verr/BfinvAPINx4S+Qei/jT3fsK8m9m7C /tf4U3Ou8O8s/v6mH3sIHvu6CXwm6Ppo2R+fpY+WffVQ+rav9HHm9B9V6D+a UkedqKMNnop6MJJ6UBpeGwOvLSc/CxYX+dmMOGtInLUHr/zgVSH4Xeu7JutV G8aycmTehfUq+wci7zP5PwR9rXQ8K+vXW+pXM+xvgT+N8K83/j7H/yng4Qc+ r3T3DjlagW8t1u0D/5fI6cP5zERPBOfngB0DOd+x2LmM85c41iEejcFxGfFT GRymEl85IQKn4uBlCn6l+bZmHMj6kewPRV4KOOZHnwv6E7FnEPZ5YG9F7L+E Py8HCv+i6VMf4P8P8OgQI/B5qrunybjcSb5HdRRxW4B7RiJxnQlfLCHuW9O3 9SYvCtB/pJI3OfDjVPLqGfx4hLyTvFhhtsjL8eRna/DpCz4NiDs3vn2Yl3w6 jtEaeVuRbw4/eqG/Dfx4GPu+wI/fxgv7V+CPm6/wrxb3A3nPGg4elfoLfB7r 7rWSJxdSf5rCo+2pT9Pg2VnUr23w8BXqW/W//bSof53g8fPU66Xw/EXq5zTq gBVjS/w/iv8niKuvxFUS+fqG7wjm17Hemf0K8hozPkNfO/TPo15Pwr7e1Otk 7LflfvAd/9Lxt4wm/L8AHgbweah7B5B12593gLy8C+zgXrqMum9cWPRTn7hv Haff2kbfkEr/2Im+oib92nf6nqeMj/CvG/6VIm56ETdW5KNKPq6E55z5Hsn8 ENa/Js5nIO828j+h7wLjW/rIEdh3trCwNx77k/HnA/7NKyL8PYn/P8GjSkuB j/Pl3O8mso/sSn8+ij6zBf177y6iD21Bfy/vqXb0/wvpY12ui/uBA32uN6Ps g4OwvzZxUZ+4aEy+TSbfzsFj7eGxZtQHd74jmT/OenP2K8j7RB7I+1MhzlPF HmfGVdg7Fvsd8OcS/vXA3ymdhP+dwSMAfEbp3pnkveYE98Ud3HuGcp8M4l50 nftmAvem2txLl3GvmsiYjn2+2FedON3AuZcin0LIp0l2gqeKwLN+8H8B+L8s fUAZvt2ZL8n62/StLsgrgfxQ9I0j7rpgz2vse4m9nxnlO4E57y0OvL/kiRT+ ly8o8KjVT+DTYEjudzl5z77J+8V77uFpvG88557ekfcP60viHt9Yjuh/Cb5J nGsq5zqHfAkKzH0PmgsPxdL/7pkp+N2Md4ha1E1b+pF5fL+hrm6jHrxm/2zk nUP+avLzKPplnC3BvhLgFYj9vfCnO+Nk/C01WfifAx52jwQ+f3TvmPLdZyPv aYd5F4rjvc2WdyM7xjzIPwy+ScTpPOJ2JPmQzr28r4ngmaHwzHL4O576FR8g 6qIF/f7mj6LfuEq/kUAf95jvC/Qj96ijnekjFiJvPvLXoq8QPHfPVdgzGPvu Y2894q4ReM3Ev434u5Mxfy2BR7VpAp/3undf+Q7pwDvvT94p5RgLngfB9xTn kkDcjiT/t8AHs+GRdfBIRfh5nL3gZ0/qXgfqXkvuW3PGi37Ci3faI/Rpq2T/ y7cV86H9xPr17G+IvA7Iz0M9OCnrJfaMxb4c7L2A/S2Is5/4VwC8svFfjRR4 ODKu1L2T69/HO+nmQ3S4b9XFs0H3fh+m498/F3PXtfW6fiEjIHcfNiMhd39b 6Wfue0OO7j7WVnfPXa17P7h2Kfe7zErde9cH3Tuiyf7c77O3de/eG//hdwVP D6OlKRExTVeV3vxU61q62ZUDZYvUVpya5/d/dmxSW9cWrWfXiQ8rUNcue9Xq 4b2yn9uZNFvs8uOYr31Dh77naq/MtO/z4vGTFBMnh5m+A7fZhk1y+B3UIWDt lcC/33Jerpf7pTwpX+qT+qU9evvy1zmc0LNZoOPL9/UnrU/bHtPQw6PY+og4 x2cmN3fatk2LOZ35ynheXF5Fe3x/Yb981bUMt+KD7DZ31S7Z1xsdE9hK6zal RGmvdj2UTnVmlbOu3U/ZxLcd81tZX4/9bT4JeaORvwV9b9BfDXv0+AUxb/0x pWfQvFjHXYb2zewnpsd8Pbn6XVTCd0cv/0E9459bab1+FDzcJ/NLTOItg9Xw NkMVw9xFnz7HDlRcL29PMx/irpWf1qre9qoDtSN8ezO/jfU1TAv9Z/8v5O1A foVYoa85+i9hj/58A/HHmfWnMwfk+dYonzIuvlVgrTMVtfae1j5TbFRlXWCD SctDfLS35z+2aTx0ldZj+mTnchdmagu6dFhR4d0WpafyPWLju93KU76rTRPz MazPDBD7O/cS8pLjhPzin4S+2uhfhz36+JtpLPBvgX/Hz4r976cf3PXR01b5 PeDi294VB2tT1aDxBXNma+tujiwwsvUppdzY5qn7amYqzhfK5jXdW0otGbqq kq9aRZXfcn4Z6xu3Evv3ewl515B/Cnv90d+MeNDnx0jiZVyAOI/K+NvGW8jb mjZ+y1g/XyVncmTDQbcfKd2n1J/o0NdWDUzqWPRS9Gg1e/KLsZ2NF6tGBYpP Db2w+u+3nO/J+pJTxH7nh0LeeeztgT5r9PfCHn3+Xn8k4tukiIgfP84nHfzq IX/kLmcj3xcd1W7np3Qp+i97Dg713L3FLUYNrrd8d4lqyeqp04+e5Fl29++3 nJfrR7C/AvLcwPcy+uKLCf3fpD06fjlNPk4j3pOJp6GcVw/wkPrO5u2xJN4j Ue1dpLhLar0X6nSPtNnza2eoxY95KxN/Z/z9lvNyvdwv8Z2L/NPoW4H+YOzR 858L/BFHfiZMFfFvSXzN4/wkPlL/+bRmK36UyFCX+w/aFXE/XQ2b8dNsSNDd v99yXq6X+2U8lEf+D/StQ78T9uj5eSp81y5R8Mlq8tWJfJDxJs9T4iXtCXSd 1fp31Am1R3yLhIIXV//9lvNyvdyfhTwpPxh9SfDZGOzR14+J8HNN+G84/FKC /JX5EUn8yfOV+En7pgZ96zI0qcLfbzkv18v4lfKkfC/02aB/MPbo69sy7PcA z8P41wZ/s/4LngH/gOeK/4JnK+TPRd+UK0K/vw5Pef6liYeRxEcQ8VLuv8Rn wn+Jz4T/Ep9SfgD1YCX6J+riU+bTLvJrJvkWT/5N/f8p3yX/rkF+/gtC31v0 13TPne+Sn+zpD14YCf4yoj6ehD/N4LsR/x/5U/JvEeR5It8FfZt+i/5h8ePc /Cn53g3+r0o96EZ9OE29CKB+lEJ+j/9Sj7L+oR6Zs98JeTuQ3wV9+dHfU1eP ZP3sSz3dR329Sr1Npv5mIG8g9WMC51WS+FLJh2Lkb2u+yzI/mvUjwO838lrP EPJ70O80OCX0m5nmru+yH7lMf+JBv1KX/uUX9qbj70fq2znidyX5dpV8HQm/ 7OZ7F/PRrC/N+e5FXibyFfS1R3+yrl+S/d0f+r0+9H+NWb8TfAdzHq5FRfwu IN5D54j8HHBV8Emb6YL/WsEvFuTvaNbf/SPiry/yMpHvh74F6G/zIXf/Kfvl tvTP2dgbij+DiId1xEsx4nsb/JBkJ/jjEXy3DX5ex/cf5jeyvg/7lyMvEPmv 0VcY+ybp+vn/K/ej7F1V23Xe42Nb2jw41GnxRMcCjPLv0WcGzvvotyym/5Dd ZyY1XBWz+VqmWcP+R5uFJMRcm5x3n+Oj1KiMFqWOOT4+39lw7mJi84ThK9Z8 KnQpZta3I+tMC1yJmZZZbtbv/rEtpuR9tTnE+Ynj7bmPPmxO/uR4tcDqkaO1 ILsPhtENf54orT09VLl7ySFG2u4ztV4ueGVrH73HL098WEElbeCVGb3G2Wue R+o67VwUbW/oM6vZxDIuyvcgmz6FqzbScoZ2m1UxX2WH4KZeQ4Ief4h5f/XK vsu7mysh9WcPtnX3dqg/aMWO/H3raxsaP02pOrCNcmzusvd7Quc69OLv3a6J 9fLvnxUhZwnypZwD6A3FHql3Vpiw89pBYb+0s06s8GuYv/BX+tUdHMqBj8Sh 3AiBW9s0gafE7Rg4e4G/xPkZ51KL85LnYqM7PznK+XLI2c7+K0eyL8yZsd+x VbgYIycmBj+ucSFmSMHnF0rHJ8aYxGbsP1H7pWPBFI+a/fY8d1w9onzR6nUK abtCK5v8timsJe86buZ9KzumTOOFkZcr1lHKdrb6MmlLD23nqvO1to/2UNpn mDge2zNSu+151tjYooNS7dYgyyyzforaYkjnl417aZ+8r68+lTlJ+ZNxquys w4O0ogPF907mTW+L9fnZXwB5I5GvdRL67BoJ/eO2CnsWbBX2LcLeU3eF/XPx J08h4V8q/ir4b8aYBj4ddXEv8W/DOblyPunglYa8ArXOV/827JWjZ00x9spf weaOj7GWNWVJ74LX82kmzRdetelfSfmTmnVvVEQdJTStpVvrzQO0W3mVd29X 1dRuhjxZEGbirpUKzvZyVsdrcaHni3xI91f2/bi+qln2cM2ysOcLt3xTlM7m m62udB2ufCuxuM299QuUSnNOLzfxnqgUKim+TzFfmPXl2X8Gee+2CPkVQ4W+ pN+O/9F/A3u+pgn7ljYT9h7F/tX4k41/WYx38D8bPNaDT4e03Dwh47tLtsiD dHjDlHM6xjn1Q19N9LV+3snl0ItqSpsXYvzY1Mm6/NN22pK0deGTl7bVmist u0aGTNDuLPD37P1jnOIyNLPHkGkrteF23x+fH7JBWX9w1sPRb68rjua9i3Q0 26Pcafll1GTjAuroRa8CZ9idUy56fN8TWqiSeiHvjrzVw28ol/n2Yv4e64uw fyfy6iP/4RCh7/t8of+Wo7Cn+0Nh3y/sfYcflxnX499m/F2E/wHgYQo/ZGTn 5lXJHwfgmZg8gl8uEf+TiH/Ph+IczW3FOQ7Dnk62wp7q89OD6/4rz775i/H7 5QYh/bWlyib7hombKm5TbF8GNhxapKRaaoRnj9B12Up5v0v9hhR3U6/ubV3T uF4TNXT+zbGV9/uq6rzKvUNM3dSWTVJru3xfqQ5ZvvxR/Cmvv99yXq6X+6W8 0siX+s6i/wr2XA8U9jnNE2Nl7HfFH3fi9BdxOwv/w8CjNvy72D93HZL83A8e t4a/rzQUvOIeLHilAflxjPwI4pwXc86XsHd6orD3TocnRWt0qqjeZ2x/6+2C VZ0mqSYHm89ZcneEahVbr8fmh/vV3R7OtqNab1LXZwQMzRh8SV0fvC8uteFx 9XvJE6FZ5e+o9drvci305/Tfbzkv18v9Up4p8qW+e+hPYXwMnsnYexn7L+LP dfxrib87Q4X/n8CjPvgsOpi7bsv6t4o6abRb1MdJ8HUCfH0P3nkL77iSP8bk qzlx0JQ40PszxcyjRPq//Jfj0JsTsr//+/8BmSlLHv0LnwKdfh5eavdOzQkd f6SC8lwt+scuc9HHDLV132mX7d6++vst5+V6uV/K0+vRn5+M0zLYm0L+V8Of 0fj3GH9P4P8Q8LgLPqt0fY7sL07Thxyl/6hPHSxEHfSHz+/B56Y6XtLnlz5O 9P6e9frZeV3kh79jbK85Zfb9C6+c7HeNR/77/4m9KTDr6KL76pjAI/O3/vv/ tPEt5+V6vRz9+ejjXs8nu7DfGH/O4Z8L/mZ9EP5XBo/94LNL1xfK/q0LfZ6b g+jvfOkvDtGPPNTVyWHwfQp8r+ctff7p40iPh1e1x4uOLLn6d2y0/IjNjPAQ ddDwVwmT80SrjfnWr9Pjr49rPV/oeVjaPxx/fpsK/7bhbwz+DwOP244Cn3rX cvfRsj8+Qh99h/7Z4qPo24zp22rQf5ynH4nT1VF9PdDzmj4/9XEm8ZL4hVb5 7GWU4KWG6EY9vvq41fOBnmelfYOx9xL2J+BPPvor6e9n+tii4FENfPbp7h1y HAm+QaxbB/4Sxx+cTxo4DuL8JI76OquvF3re0+evPg71eOr/Ltfr813Po/r6 pK/7Eseh+OOPfwsthL/Z4BgCHosHC3zCdPc0GZdjyPclbUXc3vEQfPCLuDaB L44Q9z/LCj6ReaHvX/R1WF9P9Lyoz299nOrx1u+T8vT1R1/X9f2S7FsrwI/3 TYR/bvi7Hv97w4/b3QQ+p3X3WsmTS6k/QfDoWOpTBjybIusXPNyS+rYbnjbX 9YX6/kZfp/X1Rs+b+vzXx7H+PPRypT59PyTtk33sWuxfgD9P8a8K9y5v6mw8 eDwFnzyDcr8DyLpdlHeMEN4FvLmXZlD3r/8R/ZQ5fUEL7imW9D3Run47Rdc3 6vsffR3X1yM9r+r5QR/n+vPS65V9pLRvO/b2wX5//CmLfybcZ814F4gDDx/e dw4cyv1uIvvI+fTndekzd9K/vwsRfWgB7jNX6FN70/+foY81536QSZ87k1Ha L/tKE11c6PNNz2P6+qCvu/p+xlTXJ8rzlPerNMZX3Gs07G+JPzfxL5P7THP6 8BDwaAY+M3XvTPJeU553pp7ce8K4T+7jXqRx39zKvSmb+2h17lUlGEeCp0F3 zzHn3MuST5vJp2s6ntLzv+wDLurq2R0dL0t+sUC+Nfr2oX8F9kRhX3/sdWdU eCew4r3lF/7ex//avGsdB59I3bucvGf78X7RhXt4B96PrnFPb8l7zyXu8UmM n8EzHnxPca4/ONdv3LfmkC+28JAfPPSWerXBWPB7b+rmmeK5+6vW1NEhzFeg 3mWx3xd5NZF/jvclB/L1AfZswL4k7C0DfnfwJ4WxAf7G4X8X8JgIPn66d0z5 7jOb97QrvAt5895mPEm8G5lMyv1+dgD5Jzm3TZxbG/L/PvfyUO6pt3X3y/Lw d5Xvoi7W5D3xZjnRb5jSbyXTx8n3yHn0I6eoo4fY/4R6mIT87+iLyCN4bvIW YU937LuKve+x/yf+9ME/O/xtyWgAjyrnBT7Hde++8h2yI++8xWLEO2UJRi/2 3wDfcpxLI85lJ/nfiXjPv03wSE94pCz83Jn6Jd9ZA6h7PemvGk8X/YSNnejT rgwVfVob+t8CQ8R3BH3ciG5i/X72j0FeH+QPoR4EoL899nyG5/yw9yb2T8Wf kfj3Cn9n4787eHgyjtW9k+vfx91183463D118VxJxxPxOv4N1/0eEKT73eDt stx9WMD13P1twSa57w2HdPex1rp77hzd+0FP3e8pJ3XvXc6632dCdO+zi3Xv 3nP/4XeFEWdnbLscEXNi4ecS3hFdS5+c/v6YcRXF6dSNLq2HDG/rGnk78lv5 zQXqRuXN2lqpS/bzqOLmHv3eH/M9fb6s95KqKzNPX/r+K/uaiVO0W+fWY+qF TYp28W7YcumVwL/fcl6ul/ulPClf6pP6pT16+zLz30+vP7C5cndQ9KuiBnet TPDDzPGXpirGixqsqJa8Smtk5JKccTBC2bFm358vc+5pC/x+DQ9vlt+QrAVU uVf6i/a1+4EPn5sXVLdOnLasR8WSqtJDfNdlviPri7L/A/JuLBTy96PvK/ot jYQ9evxU5keNzFugS8XJyom5h38Xab1Oy5zacHnzzuHKIl+fWrtapWiTP3t0 qbEmTMvYuOXO1ufl1G27wiyWrC2jDolqYHTHwtRgU39aNdO00oZKfP/YKeYP s35aXs//7B/sJ+RdQX4Pf6EvCP2rsUd/vlPxJ5j1RZOmfbhf/6QyZpS9u2nA DS2qZ3/PQ8U+Ky4765Y/uqmaodzK6e1rNncxXO7wOs6ufGPDyd8bNq+61kk9 5ZUQW9ncQ7X5I76bMp+8Qqz/sEPsH+wm5FkhfyX6tqF/K/bo4+/7AoH/HPxr OFLsD3wzuWLW79fKnZZzZ9r1MTfcCIh4En6tqeFm6qBG1yxc1X0m1v1jTdzV sKVPzHIudVVPa5V+Jkd5qJ+XiW8L5o+zvlag2H/MUcibjPxr6NuO/uHEgz4/ LAqIeKk0R5xHV/w9qgh5F2evXG983lK1Gm2zq9jjCQZ1i3Ws99FFhpVWE+t6 HJuhNtwd9nH7xDC1aMVXv4YfPKyO5ruMtZhP2yzWfxkl9vf2E/Kske+HvgfE Q3Hs0edv79Uivn8XEvETyPkUxf/NyB95sfCfsw3XGW49tdr34tUBtf3ra7Yu rS+o9Q2+nedlx6uXjGacmWxyWu3Jd33mP7J+MvtvIs8S+dfRtzK/0H8Re/T8 MoJ8HEO85yP+9j4Q59UG/JzRV3psyds17iapcb3q1XF/GmMwi2y2InXVQ8Pp A82NT7g/NJw8Jb4DmR/H+svsN0XeYuLhA/F7HP3SHj3/5YE/lpO/Ie1F/NuZ ivhKrS7Orzn4vEb/nElvj5f5ed9QcXha1AnXOLVszYABQUVuqfX4nsa8Bev7 sP808fCG+G1Evu1F/3Ds0fNzbfgu+LTgk8vk74fFIh9cibdDmjjPPODnij32 NWb9MhguqoVuJu9f6BGuevA9iPls8C1FPFRGnjn5txd9S+CzTPhYXz9Ows+e 8F8C/LKM/O1IfjzJL+IvlfNtBH4fk4V9/iM3XmxfN8zwiu+WzO9m/UXitwry ShqE/Cj0Pakn9G/DHn196wie38DzC/4dAk8P/A8Bz08SH/BSwO8z9vXj24n5 g6x/z/7Pu4S8gouEfCf09YkW+m/p8JTn/zNGxEMJ4uM+8TmA+KlCfFYhvjTi 7SDxVwh7jMDPke8lzA9jvSv7WxKfn5E/lvg0oH+9Lj5lPk0gv46Qb7/Jv2Xk YwXyczr5akH+5qA/BbxyON+WxO855suzfhf7ZyDvEfKd4RfLTUL/KV2+S34q SX/Q65uo31/hs7PUn/c6/lyAvmISX86zEPGXyncj5uezvgv781EvViG/MvX4 zEehf9Ka3Pwp+T6W/mUk9aA69WEf9a0h9eMx9tYFj6OcXwvi15r8kPmczHxD 1r9hvw3ykpHfD31z0P/eKHc9kvVzMvVU1te71Num1N/K1Lcu1A97ziunkIiv F/NEPrw+I/L360Lx3ZL4c2R9J/DrhryOb4V82e+4TBP6Gy/KXd9lP7KZ/mQS /coQ+pdb2LsDf28QD1nEr5/MN/qjTPjlJvmbxrysb2U432Dk1cG+GPQdRv8T Xb8k+7tT9HtL6f+6s34d+D7kPOKo/zvIt5c7RH52NAg+SWsg+K/2GfH9i/4z hPX3X4n4+4288uCXJ0DoKz9K6B88OHf/Kfvlb/TzYdjbE38GEw9V6F+O0B8M IR/d4bP38G8m/Nye7y/MT2T9DPLDFXkPkV86ROgzx74Nun7+/8r96Edbv7fK Hp8I9Z7D57DlNZSyjPLvBZ3nFJnYq7U27v2e317vnLUXpe9+rNn/6MlKU8xT Ck4eoEydUKxpUv5hSsLhU9GnLiaeahxg0c1njp/WZOzY38eK+Wtu7RZez+of G5lq2DH+R4f1ivmAV1eXfw5TMrzyz+qvBUUltL3i1LHWJe381vjt1x9Gas4/ a+ya/cr29IvCBTYaf45Wthx6cepOmY+a6dSt/dcvij4ddbL/ueL7chQl4Hbj SsnPNLea1l+L5qscffRcF0efzJ1a1EiTApMuvlMcvxeMqe/uHZ1126xxwNt0 rd+plMI9+2YpYe3DrbeFzo1ex98/sF7+PfGikBPmL+RLOQHoHYs9Um997DwR KuyXdpZvJ/xKxV/pVxI4GIOPxGE/uP0CT4mbGzj7gb/E2YZzcea85LlM052f HOV8XuR8cRL7S267eXGupbcykXHRaatKyU1max3LdZ8U/3quZl1i2/Lv9sHK t4wJJolem5UTPs41lzc6oy3ysrOI2xCr+Xzbnzon/wGtXQ+7EjtPP1ImjWpi 6Rlc0BC1fM+w1u0Kqy9aeg4d3byyoWODssqd+b8Vtxmrqy4uVVLtePFA1Zk+ RQ2zE6qu/6rUUt8E5nzfdLKsYTXf+5i/z3rn+mL/fOQNQr4Z+sZ2F/pzPgp7 rLyFfRewdy/2X8GfSPyLw18//G/NWBV8u+viXuL/m3MKnCzOZz3yLiJvdlPH tMFaiBLYRIzn0zucr50Yoy2fbjLF5N1JbUrMj+mRn28oaQ5x9W1dHyuf4p8W fbjJzOAfF9ayTok07bby5GPEAhPDrneG1sWvWBn6fTrWuncnW7X+Ua/Frxwr GQYtKbxvYJaletNgFD7ibgV11YysNc9q1VS7zzia/8m96qrLTPH9inlf1ncL F/vrIm8s8qPQN8Eg9Jc5J+yZ2VLYp2BvP+yv9ET444afaxjv4v8Z8HgHPtYT c/OEjO/BY0QetCT+F30Q51StpDinM9OEvkngN7jV3ms3TO8qD1qLcVXEHb+0 0r+0ru0+TKyx/Ie2OqZtm3Vp1Q1zxp8cv7e9lbqjVcVnQ8y6G0JLvwou/a2D euLY/MKzjg8wjAvZdauvu536eJZiqJLSX72TZ+yeI+u6GNbsPnJrQPZE9V33 nHHdGnsajvDdI6+Y3z5brF8RLPa3Q54z8gegzwz9ZbCnT3th30HsXYT9VRmr gacJ+JrhfyHidgX4nBuTm1clf7h4CZ65qAl+6U787yP+UznHfGfEOa7EHouT wp4W6w/7LVhYTA1ZJcarTn61Vyzob6gXbu26wbWqwc7Jq7vTiL6Gp7ELTCxS BhvKVuhx5e6dBWr9L/tq9b7ZzrB8eE/HSjM2qMsc+87OX8hfveoX93PXu22q Tbc1X3qmL1Vf8h3I/H7Wr/8k9pshLwH5q9oIfb8PC/3p2PNkjbDPcZ0Yv4Hn WPxJwL+j+BuN/x3AoxX8a+uVuw5JfjaEwOPw99xuglfyvRO8sitG5Ece8mPD OHHOq86Ic26EvaHYa2d9v2CUzWDD+2pirNYvacFbz/XqkIuJRbW4xarrfqtF 3f79/2pGNN79Y9kRtZ7dljUXUs6p2w0+iUmvY9Qldw8k1nx3Vv3S1bfSiLln 1a18L2bemfWj2d8HeYWRP1vqsxL69zLewb552PsK+z/ijwX+mcAH6gfhfxF4 torEJzR33Zb1byR1sryxqI++Or7uAe8sbiV4x5f8CSB/hhEH3s4iDr5fEP50 xp8tE05daFhaU7cz7tnx40L3yhHq2t0PV9rVjlUHPvW1+3X2luF1hMOugHyR hgbt9h507ZhqqDsladCHM4mGGnwbmO/P+mPs34a8nciPZ5yK/iLgW5+8iMTe sdjvjT/tVOHfFPytgP8B4OFqKvCZpetzZH9xnT5kL/1HS+rgBupgCnw+Ez5v Ci+1gJdqfRb5ZUt+/Rku4sRPxh3++uKv3zeX7lPjUwxrGXf8SFhceVGEYfDU 3x2PRV43lK1TdazT0yT1c9ig+5cmRBps+O7FfDzrZ7N/LmMS8oPQF4j+jsRt e+ybC5+0xP7D+DMK/wpS/6T/8eBxCHyK6fpC2b81HyX6PKcror/bTH9xk/5i dayok08WizpZEr73g+/fwlu+8FYf8s+N/Ct8UsTRFOKoFXjU+ynwuDI4071n 12vqdsZFHa9Oz9p5QnXz8avaYsZFdS7fu5iPZUwHT0fkjUF+EHHbCv3rsGct 9m3CXuvZuevbBvqAx/QFAfivgsfmBIGPQddHy/7Ylz66yR3RP+efJ/q2efRt I+k/rOhHyvQQdVTW1XXUg4PUg+Pw2ll4bRn52YH83Eicfa0t4mwceE0Hr8Fr ZpVNKbT+79iPcS3zw1lfkjjdgryWyHdA3wb0P8OeG9hXB3ul/Z/pC17jX2X8 HYf/afSxx7hfdNDdO+Q4jnisA47XwX8Jcp4Tjw3Q40o8bsSOHM73AHZ24vzP 40d+4rENfqrEzzNwjCa+AsFJ4jkI/GQ8bmTcyfqa4NgNeVbIP0E8ShxXYc8p 7EvA3lHYv4Z4fDxd+HcWf9vjf0vwqA8+pUflvqfJuFwAP+68I+LWAj7IkvcG +FFdJOLeFT6ZQF7UzxR80428yQcf9SavpsJXM8m75fBZTfL6FPkZBD61JT7E XSm+DzJ/iPVxjGOQNwr5+9HnhP522OOKfUfgxw30rXnoY7cvFP7VhB974H8R 7l01bgp8mgbkvtdKnvSj/myARzdQn47CszOoX73g4UXUt9Hw9Fbqn+zjblCv 58Hz66ifu6kDjoxz8H8C/k8mrmoRV/Z7RL425Xsa84NYv4r9ochzZ7yMPjf0 r6Req9iXgb0J2H8NfzbhXyz+mjoK/zPBIwt8onXvALJuF+Id4xF1fTP9Unfq frGzop/K4b5lyz1huex7joh+rCN9RRD9mit9Rw3G4/jXHv92EjetiZtS5L/s F+foeM6O+basH8H+Ocjbhnwb9P3oK0Y77JmOfb25H0Ri/wD8eYR/c7jPLsZ/ U94JGhYR+NzfmvvdRPaRt3k3ec/7UAH697Pc74fR3//g3mxC/2/MfesN94QY +tyXjGOx34D9jsTF2/IiLlqTb9+HiXzzh8cWw2M3qQ9b+A5gviv5WYX9BYkz 2bd+5D4j9V/EngeMPdYKe1/Sh7eR9zP68MX4O54+vC54VKUPz+uV+51J3mvi 5H2Re48198lD3Iuqcd98wr3JmftoNPeq3YyXsO8b9sl7g+zX95JPp8innRmC p9zg2XKK4P8l8P9i6upMvlOpD2/htWHcCzsibxfy96PvMHG3FnsOch8cw322 G+ML/Ani/SIFf/uPE/63/ijwsI0V+Pjr3uXkPduU94ul3MNP8L7xg/ekAbx/ /OGdIh/3eUv0PwLfw5xrFc41g/tWHPeE8fBQGXgoaIvg92sBgt+z6QMCpoq6 2Zb+KnSa+K7NfAz1wJZ6VxF5M5Bflfz0IF/LYs9J7OsEXtHYPw1/JjAa8LcT 7xRvwKN0oMCn78Tc75jy3Wco72kmvGv24r0tinejq4wq8pPBN4t3oI3E7RHy YRz5MEsTPFMVnhkFfyfJe9JhURf7zxR1cWO86Dci6DfGzBR9nOxj550V81up o43pI5Ygbxzy16JvU7zQ//21sOca9nUlzqKJu83glc9W+DcjWvjrz5gCHrfA x/hD7ndf+Q7pwDtvSd4pTRnd2P+Zd7c1nEs34taI/LeHDzzgkVrwSBbvHWWo X37UvUDqXt56op+Y9V30E6mXRJ/WL0X0aYO5D6h3xfcj+riy9GfG9GdjkBck 3wWKCn0W1Ac77PHBvhzsvYr9DYiz/OWFfyvBax/++4PHbMZE3Tu5/n28l25+ ku69/bnuXT5pTG6ecNLxby/d7wFTdP3Czrm5+zCbMbn721KRue8Np0blvo/5 +ue+5/rq3g8ydL+ndNe9d9XX/T6zUPc+e0b37n33H35XWK0GpCcdi2m61qft 8v2dSzdLz5s/qmFLp+aL32SWiHdybfEtut7yJ/nq2u2+1PuExdfndt4m5V5+ POJrn+/33an9l2faV695783zQk4OT8p5hDXeNcnh05Itm4MuB/79lvNyvdwv 5Un5Up/UL+3R23ey/fNZH6zXOJZ7dOHoqatHY9ZMSj3osC/ZseCLHP+XNu9j LKdmfZ13tqSSnTa62/pHTbVLC64Gz5zqpaWWL22oMqGbVmxhU++0hoOU/FvU 8x2MxigD+FaZ92F9X/bvRF515JebLPQNRP977NHjt++hmA9p2TR/1rTrjls3 rKtWfERmjFGoZcHax00Vvw5l7YumNdH8/vz8GFI7n1bQNXr1SNspimNi1MI6 ByYoZp9LrGjoNVTz3l/28NnSE7QTfMddFvOPO4j1FYv/+s/+Qq5CXnvkV9ko 9GWiPwd79Od7C/wU1tu0c2jSu46ZsufGJJPNh+ppRtNrtfWz76r4Zk7paTTZ T8veufzUwj7btffOLYt2qr1MK9rg/FS/yH1KsM8zo4bfjyuj+b7iJOYTWP/s o9j/FXl3kb8LfYHoNwVfffyNeCbwbxMi/Ht0Texff7L8bytXF6XFLtthzctP 0sYd+eDoMGyFdiVwb6E7684oDe4MbPQhPFMZ1r7HZeu4UuqAdqPaN+lRRR3K dy3mz7G+brjYH4+8p8i/el3ou4b+Gs+FPfr8SCFednMe3/A3dLeQV31zQnzv avMV3+B96y8sSlHsCyoufqa2qtrjd//iZ0ergeYn5vuVXKzu8fR79Txp9d/v Vsw7sv4A+zcjbxzy288Q+sLQ/1Dao8vfhFQR3wMsRPzU4Hya4P8n5Fdb1/OX /faOamrZTTbnrqxWr9w3tRvQO0Y17ru1TVmrZLVOiTvTDyy7+/f7MvNyvdx/ G3kDkT8UfQvR/xR79PwykHycRbyfJ57ac14tweMB+mY4WFW50TtRfe09o8fM ei/U3WXqFvxaM0OdfWnT7Wc/M9RdfMt5uV7aK+UtRf459B1D/1js0fNfPfjj F/nZnPhvSHy15vwSwUfq97aPK7a5eIZ6b477mPoP0tWsVRXaTVhxV03heyDz cr3cL+OlCfJ3oq8V/NEfe/T8bA3fbYRPSpGvQ8gHGW/yPCVe0p5nb1/1Km44 oQY3+lQ68urqv99yXuIt989DnpSfVV/oc0S/Efbo68fLzYKfTeC/IPhF5q/M Dxl/8nwlfluw73KDS5teupj//Zbzcr3cL+VJ+dPRZ4T+ROzR17ffC4T9RfDn Xf3/GZ7yvJ+C3xYdnnJ+lw5PKc8b+YvRZ/1F6E9akBtPef4jiIdSxMeV/2V8 pvxDfHrp4vOKLj5tkb+ZerEI/Vd18fm3PyC/NpBvMv9mko8O5GfqP+S7xMv3 f5jvdshLQn7JXUJfbeqx6cLc+S75qTv9wcjCgr9uwmfHqT9R/8Cfif9L/qzK /oPI64N8Y+rxl/xC//q03Pwp+X4P/O9MPbhMPTKmXqylfkQg3+Ef6lGYrh6p unp0kv1jkFcB+ebUoz7oP62rR7J+9qCe3qS+fqLe7qf+VkVeL+rHKs6rCvHV n3zoR/566eq75HM38FORN+CUkH+WfuQ6/dPAF7nru+xHytOfDKZfWUH/Mpb9 w/E3iXi4Tfz2J98Kwbfz4Jc35O8x5q+xPoP9sp5vQf5t9K1Gfw9dvyT7u1r0 p9/p/6qzPgt8x3Ae+0qK+Ekg31yoX/e+Cj5JgP/ewS8JzEewflQBsd8febPA bwv6PB2F/hWPcvefsl++Q/9ch/k79KPBxMMl4qUu8R0IP2SWE/zRkfrxC362 5FuBX/xYP4X96cjLQX4f8PNFv9Ihdz//f+V+lPzV53ntXT62J88khy6bHuC4 mlH+vfKFpl7TRwTH3Aqr6ty02vaYLh9G/RrR92izIcXVoqM/RjpejdqSZ0ih OMdtdzasfJeQ2NyuTYfl1t9TYtxezBx0J+NBzMhy1+Z37xfbovW9Vck/W39y nLe+cX7fK/mUiEt9H3lFB9n5xL3sNWejtdYl1H6wuVdprf3lzpHtX9jaD9xU YnXS+7JKjVtG7ZI9XbVNmv3uG/Oj7as2NBtcO7+7YnnPJexx4dbasU67kjJ+ WzqY7/t0vdeUPNr4BTujrq9qp9RZO9FtcU9vh/nhPdo79XPUuk8eZevSpYdi 33lV7y/Bcx3i+fsr1su/9zkq5GxOEfKlHFP0Prkp7JF6TTYKO8uFCPulneH4 VWiD8Ff6FQgOAeAjcdDArdNpgafELRmczfcI/CXOCzmXG5yXPJf8MbnPT45y fgHnaMT+ozkPZi8ddtqxyXcxmhrG/oq1uBsTPulPfIETD2Iut2h2q0DlbMeE IwPOeW366vjdo19fx7LmWsu8Q3KG2lTQLm9Y+y3xRQHteWrFbhk5dkrI+HZn 0gIGaR2/Zc0p4zFMSburjdm5Yoa2YkbCrQ+/eilWPQ+fWJo9WvHOs+Ri1XIj tJolXo4YdD9Q6VwuY3X4xolaa76vMl/WTaw/PF3sD0VeaeQr6MuH/qKrhT15 8wn7OnkKe39hfy874c+wycK/qfgbhv8WjP3AJ0MX9xJ/G84pqxjng7zmyLto 1ShxWL9vjlUZ35je3dB8uIVW2S6xzcMEM21i9PvezqPrK1W/hZc9d8ReuT/2 zxiPKT7akk8ndlW+21xzy3uv4eC7Q7QSYXcGj2s2V3sxwE5tunOVkj4sNnH/ y2nakVbu068kzVWa/3l1zMx0mnIg51m1a4VWKlEfrBZbVgxQjvB9gXk31jdi /wPkfdgt5C9F37wMob+Ej7DnNfYlY29X7O9XWPhzHv9qWYsxCP/ngUcf4nfm 6dw8IeO7+HORByrxH35YnNMUzmlWC6HvEPiFnK2xb+yjxsqhODE2Sr5y2uea p7buxAIzizUe2v3wBekHD/lrD1uEjTpxYo7S6WStjHN1w7SsJy/GLu0UppQL rbY0fFWiktPT2uOP40FlQqXDVlVHFVCvFHV+Pqr8WcUwq9mLk4GV1JycuHMb d11V4vg+yvxU1q9nvwPyYpD/OELoM0P/NOzpGiHsC8TeW9hfh7EjeD7B39P4 X5O4DQGf589z86rkj1HwzLQUwS/jif/H5OvGHHGOHlHiHJdgTyj2vLfpWdl9 /SilbT0xXppnWqdmw+3ao0PnI5qEBSsLd0c2DH1UQjVJVbeUWZ2l7FRb7CtV zU299rFr4+Y1m6jNXv76cea4r1o5YnTNFRZuaveYup4xv1aqS3dOqL7+qtff b0vm5Xq5fxfyiiJ/MfoCDgv9adhzvb6wbxP2Xsf+pfjjf1r4txx/65L/S8Hj JfjM2ZC7Dkl+bhMseHwP/N34geCVpOWCV/q+F/mRTb66NBfnXIlz/oy9y7B3 0vmfu6cWraj6Mi62brTmlPsktXpR61nln4xQf4QcKLTh6X71fcew9Y/bbVKv lb9wtuSwS+ppp4XX3jU5rg4JWTk6vcId9eKAY+HB+aL/fst5uV7ul/KkfKlv BvqnMaZg31PsbYb9s/HHkvz/gr/D8N8VPM6Bz4Lg3HVb1r891MmN60R9/Jot +Lo+fH0M3rmfT/BOFPnzlvyxIA7mEQd6f0wjvOZ+/Zf/cgx0vd9ufrNUdd2A usrxf+GzYFWBo7NavFMnLt36+4rjc7X4kvJNy2ZkqO0qLy8x782rv99yXq6X +6U8vR79+S3APjPsvYn9h/GnI/7dwN8asl5Rv8LWC3zO38zd58j+Yh99yGsb 0X/soA4GUAe94PNr8PlceKkzvCTzS+arPk70/gZG2F7vdurD3/HmrsL+g96+ Ut19NpVaXuG9+nt6RWO7JffVZUunj+76r7/Lbzkv1+vl6M9HH/d6PumJ/evw 5y3+HcFf6f8P8ChEf5aekrsvlP3bbvq8YYdFfzeP/iKJfmQ+dXI2dfIcfD8Z vq+i4y19/unjSI9HjYMTqjwLuvp3nPPzcc8PkSFq+1pu8dMKRP/91q/T46+P az1fNMc+ybPS/mv4cxb/Wkt/8b8reHTcL/CZquujZX9cjz7ajf65BX1bFfq2 WfQfB+k/ZB2NpY4uoR70oB7oeU2fn/o40+M1xfJHq3KvvdTJulGPrz5u9Xyg 51lZr6S9Gvabfhf+HMa/Cfhrgv+VwKMj+Fjq7h1y9AJfc9a5gr8Fcmw4nxPo ucH5SRxlnZU46uuFnvf0+Svjyw+cJF56/PRxqc93PY/q65O+7p/B/hf40wv/ 1uJvenHhfwXwOAU+U3T3NBmXF8l3I+5/WfBBO+J6DnxxlLg/qOv7JN/IvNHX YX090fOiPr/1carHW79PytPXH31dl7xzFXt9sP85/jxWhX/lhwt/L/cQ/m/m 3rXziMCn1b3c91rJkyeoPzeoM0bUp+nw7AXq1xl42EB96wJPl9X1hda6/kZf p/X1Rs+b+vzXx7H+PPRypT59PyTtM8VeM+wv91T4U8lL+FeFe9cX/J8EHu7U Gddbud8BZN225x3gyAZR14tyLx1F3a/4UfRTp7lvVeeeUI57ykT6MdlXTNP1 jfr+R1/H9fVIz6t6ftDHuf689HplHyntM8FeN+wfjD978G9ApvB3Nf67g8dF 3k0ydO8mso9sQn++lz6zEv17g1WiDzWnv89Dn9qO/n8AfezMBuJ+cII+9wvj LJ39Mi526Pqj5ro6r69X3XW820zHH1KelL8IfRK/y9hzjzEee9tgf3/8qYp/ A/D3rezDwSMWfLrq3pnkveYF98VCvDt14z5Zg3vRD+6bd7g3deM+uoF71WzG ndg3DPu2c+4lOfcS5FNV8ukGPCV5trKO/2VdjdHVs3E6Xm6DvJJSPvos0F8D e/JyH8x7U9hrzHgbf/bwfjGV94sI/K8SLvDYBj4FXuZ+l5P37JG8XxziHh7A +8Z+7ulFef9w4R7fi9EX/e3Qv5Nzrc25fue+VZJ7wmV49QQ8OwJ+91AEvxuo mz+/ibr5h/7qC9/yHWMl9WA5+w8i7yzyu5KfLcjXstizAvu2Yu8N7N+GP2sY 3fH3Lf7fBg8TJ4HPAd07pnz3ycc75grehTx5b/Pn3WgRo3xXGoT8QpxbQ86t PfnweYXIBzverdzhmcfUq1Pw99Khoi4W4D3xZp7X/+k3suk3Xuv6OIV5Z/oI a/qIxchLQf4s9LWH5w4FCXtGYt8q7B2C/T/xpwf45eCvUawYP4FHqRICHx/d u698h0zh3bcv75Q9GIeyfy34NuZc5hK3s8n/8sT7AHgkCh6J5X5/gPplTt37 SF9gT39V8qLoJ27Qpz07Sh9L/1vimPhex/zNCLE+nP2pyCuK/PvUg3qpud8X ZmCfL/amYH9h4kzGXQHweon/WeDxkrFVTO53cv37+AvdO3o5He4tdPHsqHu/ 99Txb1ldXbuv+92gvu73hUELc/e3g3X3hm+6+9hq3T33lu79YFdI7neZIbr3 rpW632f2695nu+/J/e7t+A+/K/A70gl+VzrJ70yn+N0pkt+hovhdKorfqU7z u9VpfseK5netaH7n+vst5+V6uV/Kk/KlPqlf2qO3r/a3qL2LmjVXLAuUeB2y 2V17XDH9leWBqUrdth8+3D25SvthHD3XY3+EYjjzsHCtuve03s88KvwyzW/Y G3iwsevLz1o+t7U73ucpqPa/FLXOJaOE2pvvRQFivhbr/0SL/Q9NhLzpyH9Z SeiLQ38K9ujx+2Mk5tvM6P1n2q9JyqrtH/uWr7VOW/ctf5HAZuGKR7Uv49rV TdEsJwUl1V+7VQssuubR9YRy6mjfQOPJXmXUjFLnnriamhpSw/unN4subRhe Vny/nC3m3VjfYqfYb2Yl5IUg326H0DcP/VOwV3++VfDnDva1qG31pmKFk8qW pLO+tuNvaOZO4VVLVPysXLn9arf7sGqGfg+cv3Uu6WKonpmqdP/eyJDaaUCl 7ts7qSUfW2baf3JXTTqL79gMMV+Z9aPZX8pZyMt/Vch3rSP0LcfeL9ijj79L LgL/NvhXA/se+R516J32Wikfcj/jq4u5YZ+vr+3zwKaGn89mttiU3UEtdfDx ZKdHbuqVfSYl1fdd1UWVg/z2ffBQn4WJ7+rMp7K+q5/YH4W8j8g/iL5h6Lch HvT5MZ14yeJ8x4FfBvIWley1aEVgZXWW07epX85PMKzPCqyStXGR4U2if2aD pBmqw6JJSyePC1OPm/b0Kxl2WLXlOztJzHdjvQv7+5QW8sqECvl24OtHPNia Cnv0+Xub+I7eIuKnI+eTF/8rIt8y+5axZr7OcOX5UocJzw+olnXaW69yuKDG 2u8xqfUlXn0QFX0ku8BpdRffFZn/zXoX9teW9iJfQd+5CKF/Pfbo+aUz+TiA eG9PPJ3kvOaChxf6Jhh3aRGUmKQGhh5vfvVZjGH9rfAOtZY8NJSa5P7heZeH hpl8d2L+DOvvsV/iG4f8Gujrgf562KPnPxV+GU/+Lvwo4n8c8dWF8/tZW+Dz Gf0JH6osG/D1vmGqT6Gr353i1HmGTFfzgrfUHL7vM387RKy3Bt9E5P06IOTf Jt8eww+r4DM9P/eD746WEXxiQb7+3CPyYQDxpnCeu8HLc5ywx/nl1e+7oi+q k9pF3K/nGa7O4Ps29o5j/Rb2y/i9j/z86FuC/o7Yo68fO+DnuKOC/7rDL4ct Rf5+JT/eRIr4+zpRnO9i8HPCvmbODjXjzcIMc/hewXxx4sHktNi/DHnB8MOD R0LfAPi3Afbo69tj7G9oIfyZhX/qbuHvCPyvAR6nwCccvPqC3zjsG8d3DPOD Wb+D/bWRl2+vkB8P/1qDZ2kdnvL8n/qLeBhNfBQmXmKIH7NrIp7yEV/ZxJua IeJvLvZMAr+vfP8mPluH5o7PPMTnUOJ/DPkwjPywCswdnzKfZP0tTr7VJv/q kY8jyc8h5Os48rco+reCl8L5vuLbn/nlrL/G/rPIa/ZcyPdH3yX0z9flu+Sn YvQXL5YI/hoBn8VTfyTfVYf/zqAvk/xvz3mWhT+n8l0Y/NZLvmW/F/JWID8c fWWnC/1rzuTmT8n35eH/MOqBEfVhAvViQClRP+Yifyp43OT8GhFvgeRHY77f MN9L4sf+Q2ZC3jbq3SHq303q4QqT3PVI1k8n6uld6utW6m2Kn6i/vshbh/8n iIfixO/gnfBXJZG/7tT3TsyXZH0C+yvh/xrk/0DfG/Tv1tV32Y/cpz8x0K/k 0C950M8cx990zkchnqaTbwr88A5+MeV7LvPFWT+c/anIk/3He/RZon+Xrl+S /d1++r0c+r8mrK+RI/x7znncGyXiZwjxXgB+sC0n+KTaMcF/0fSfzsz/KiLW j1kq9nsSX+fAbwr6bqD/pq7/lP1yGv3zZ+aD8ecx+Mt4SSa+W5GPJahvcfCd N/w8mG8r5kuxvhT7ryDPAfmH0DcK/Yd0/fz/lfsR97mI0l/vLzkwtIZizSj/ /rTFnPzPWrbWWp1bcnTKJWeNe+HJGmMfNVBdBygjTt+cGPdiqML98VTI3cDn i/r7aRE9U6zivszVuGdG+nlN2zfOab2yd+3Fw37PwuR9NMrpZT7zuCcXtakP o25vT46U99bTHt8mlWy17YzyOmZ7kYqfMuT99nTpMeUmdp2do1zqsO26Z+gz eQ+OvqXGrO/tE6YZNTSOXL7hnbwvR19Oa9014126tvBSB+8G9bPkvTp60EPx 9y+sl38/6Sbk/Gwv5Es5Um8w9ki9oVnCzuepwn5p5zH8Gr9O+Cv9KuotcHgM PhKHmBSBm220wFPiVsFH4HwQ/CXOE+zEuYRzXvJcrujOT45yvhxy7nGuYUsL 1XAp5K1EMx669irMtuRszf3nqE0ud+dqn19ubx5bJVg5ZzMqfLnjZiX/kPEF P+Q5o8VaZDl9XB+rLXlx9/WXrmHajsfnL4QOfaRYFLuU09a7oKHpODNDkFlh Ncalzl6/n5aGzN6eHT+7/Fb2VxnZav2nEmpw01ldx9kUNdzLvpT4pGAt9XuD 1sM6+pc1POC7nq2Y71NVrO/TS+zvjLz3PkL+7qJC38RHQr/tQ2HPxHLCvp7Y W7+hsD/qlfDH5Jfwz+K68Lf6MuH/G3DoC74rdHEv8V9L3FciD2aC1wnw2/Ax NWjcrhClP+Oz592XjIiM0aq1+TTQ5uZJ7UmDcRvvGiUrHpY/izs5PVaCXYp8 OTDGzLDMOibpQWSaVuf89B1FPxkbjNr+qf4swsrQstV7p031bdU437KexfJU MlRt06BC8U2W6qAoj887YyuoD5JVj+MWNVXfLOfg3aerqwX4fnVazEeoYn3a bLF/IvLSXIT8OegrUkXov4k9L7FviY2w1w37i70U/vTIFP7tYZR4WoHvdfAZ HZ2bJ2R8dyIPTsMbtsRZPc7pcGuhLwX83hYscaFozh1leCExOj9s0G3+k59a A7PXlwO3/tB2Vl4yKc63uuHmxuVH95W3UkfVMlmcmt3NUG7VonS7Gx3Upu/N Wk5YNsCQv/64eyUb2KnLvb2TAy70V902u7SaMayLwTN5dHCT1xPVegV7ZjkU 9jR05PsA844DxfpedcX+ee+EvFsrhfx66OuE/nLYM62UsM8Xe99g/1zG8uD5 E3/f4v9+8LgGPxzQ8arkj8bwTHF4tgbx/3iwiP94zrEncXcTvBZjz/spr4p/ jC6mhkwSo2Onx85VB/c37De7/avZ2qqGQe/dH95w7mtYNS7uhuu5wYatN88c Tby4QO3Qe8rxDJd2hrFtX7qWnblBTZrdVg018ledjr43KvNlmxpbyuKs/d2l qg3fRr5i3oP153uJ/VnIm4J8O/TdKSH098WeXdi5aKoYD2H/PPC1Ik4rVhb+ 1iT/T4CHBj7p63LXIcnPT+DxPvB3f3gl47Hglf7kx3byw0Z3zi+xtyT2Lim7 NzS9zGDDujJitB60L9XVbb2q3kj3eHR1sRrcO/PEtt6Rarf2U17dX35ETVmY b9zaO+fUZibfPrx4GaM26Nhqe6NXZ1XL4IcN4/zOqvX4bsz8S9Zbsv808soi fxr6/qC/Hva4YV8H7H1jKeyvgD938e+LpfDX/oHw/8VDgcdV8OmTmrtuy/oX T52c8FXUx3LUg6Pw9Wt4p9YFwTvG5Kc9+eNJHDwiDi5cF/50x5+UCj0fVyil qbcYn/lYjBpmHqGu9T7U+511rFqtVfqtwoZbhhevbersNYo0GAVXPl2vXaph zolrw19GJhoK8v2S+Vqs38P+x8i7i/yPjHPQn4k9w7BvBPZWw/6b8EE+/LuP v8vw/wP1KwF8tur6HNlfbKTPqU//MYo6uoc6uJt6MAs+96oneOk7vNSe/Ioj vxLbiTg5T5zMxd9N+Gt45r2kV2yK4RNjefOl39YsjTB4d13qnHPyusF48hDv OalJqtXIujXqTow01ODbnfnGrE9l/3nGdORvR9919Bcnbl9gX3fs3Y39HvDs GPxLpH4Nxf8J9AXlwOdr+9x9oezfEunz0tuK/q4q/cUf+pGp1Mk5rUWdvAbf /6E+1IK3esJbL4xF/v0i/8zfiDhyIY7qgscb8Ei++qS8fadr6gnG6Uuql96w 54S6y+lWk4rTL6p7+N7DvMY4hP3tkWeP/F3EbRb6a8IHntj3Bh6eSL3ahz+n 6AP6SX/prwqAxwgPgc9hXR8t++OCl0UffZb+eYiN6NvMv4m+rUS26D+e3RD9 RxB1dAJ1tGFpUQ8qUg/ebhG81gteiyI/LcnPTSNEnD2dJOLsGnitAy/rK2/q mxutV8szDmUMYD6K9cWI0zzEbUnkB6LPEf3m8GwL7NtP/WqB/RkFhD8n6K9K 0W8do2+Noo89xr2jpe7eIcfXjQS+3R+Jde/AvwE4VjsjzqcGOA7dIs5P4uhN PBbBztfEY2/8+EN81MbPtsTPQ3A8SXz5gtN8xhbgt4HvRYz7WV8BHPsgT/Lq HfS1RH9D4tEe+54Sj3WwfzjxeBMcP9HHrgPHaO4Hk8Gxl+6eJuOyH/keM1DE 7URPwQfPiOsy8IWnIuJ+Zh3BJwnkxQV3wTc1yJt4+LHwIpFXY+ErJ/LuCXx2 j7z0Y1wKPqXB5zBxZ8q3xG8g670YbyCvLvIPou8ded0AfpR5fZd+qyr2V4Pv f5HXC6kHzfC/A/XiTHeBT0CH3PdayZMzqT+3RgsefU19qgPPHqd+OcLDD6hv PvC0FfUvBh4/SH18Cc/fp34+pQ7sY3yI/+3wfxBxZUFceevy1UfHg+ns15B3 klHW663oH0M/9Ar7wrC3AfeBzvQfu/CvAfeue/g/nv5lBHWmgZb7HUDW7SFp oh/qki3q+kn6xxzqvnE10U95c9/qS7/lSd8wrKToxw7QV3jRr3Wj76jI+AT/ wvEvjLh5S9ykk4/Vyccz8FwNvjtTrz6zfib7ryEvHfnu6KvEeJk+cjH2neF+ MA37I/CnFf5dsxL+luddYBTvBO143+n9MPe7iewjn9KfX6TP3EX/vv+e6EMb 0t9fp08Npv+Poo/tPE3cDxT63BGM/thfBPtln7yTuDAm3766iHwrDY+9Dxc8 ZkZ9MIXXyjFvQ37mYf8O5N0jD3qirzbn2Qx7VEZz7jVVuUekcj/T8E/e394/ Ev43B4+l4NNK984k7zVPuC+mcO95w31yH/eiQO7zVbg3beQ+2viRuFd95H71 ZLKwrxP2XeXcZ3DuY8mn8/DBcXi1EjzVnnplAf8b0wcU4bsk8w1ZH+sh9s9H ngPy26LvJXlyl/PuyX0wP3Y/k/da/PHGPz/8XYL/M3gXqsq7nLVb7nc5ec+e xvtFNPfw0rxv9H8t7uk3eP9IfCHu8ZmMXsZC/230f+Zcr3Ku78iX/gkiX7Lg 1YrwUBL1KsJB8HtN+gDfa6JuVqa/KkufEEtdbUy9e87+LFXIi0K+G/npif4Y 7HEkj/Jhbzj4HcKfY4y18Xc77xQPeP/yl/jo3jHlu89d3tOe8C5kxbtbPO9G Oxml/CTkZ3FuqZxbOPlwh3xwrS54pj4885x6NRD+Pj1L1MVt1MVt9FfJ9Bt1 6Vs38V0qWsz7sf47+yshbwfyk+H1b1WF/sqpwp7C8JOMsx7Y/xF/fPDPC39d GW3BozTvvo90777yHfId77xjeKccx+jB/i7sf8a5hHIuCcT7QOK9BTyyER45 Dz+bfRf8bErde0JfsJH+qo+P6CdS6FuLPBZ9WhnuAxu4H7RmvuEAsf4o+8OR l0CfYUe9DKFebsaeMdh3Af56B39NwZ90/NtLPOXwftsWPFwYV+reyfXv4zd0 8yUScuNeThfPA3U84ajj3/O6uhar+92gg+73BbPGufvb+7p7Q7FGue9jY3X3 3AG694OhabnfZQJ1713Xde+ITXXvsyt1794R//C7QqmQQlOjDsY0HbXytX9A h9LNTI2S97Zq4dR8c6EbmwYpri0Wr7qQ1edXHbspt8xzNn18bhfy6kDJtH2+ 9juuhw9JWJJpH9C11oo8Rk4ORxZ6d6y/bZKD5dmlQ+eeD/z7LeflerlfypPy pT6pX9qjt2/lwPyZU/LtdLy5v0lkh6NnY+bs/zX0wMonjn07vfN4n/9XTM3z jwbaGKoqG3+b/ozY4qxtDMrqUq/hOG1J8MGXwzt5a7/Kd4oLNpqoXCg8cWBy 9CylcwXxbcJ8R9a3Yf8K5J1Ffg76ah0Q+q9jjx6/IOyraek+obTXY0ebFbUu pPbMq3V55zlyy/LyyrHT1VqfT3TSFqWt7dp5ookW+nnDeK3CfGVe9I+Lo+f6 K1G2ty1f95yiGWocLZ3n+1ytUzPxXY75haxfniH2m0cLeYeQvxJ949B/A3v0 5xuBP8Gs3zun4KwKFaop6udSs66ubKl9G/qu0r6uXsqAjg3PXqm6XPO/X+KR j3JUO781OyH9eLCW+ryNc1pApJLH4bN26U2c0vKF+E4LFfM9WJ+H/eeGCXlb kV9+rtD3Gv1fsUcff/YdBf5n3wr/fmeK/fkiWh6zsHFX6i0wtPtYJFBrP3OK z6sq27QaE/dke62LV6r49drcNvaTEnndUPtIVin1Xfn8myynV1FP8V2W+aas n8v+lcgbhPzwT0KfA/imYI8+P44TL2s4jwj8bbFQyMujtDhlWn+V8mfotg6L K5xTMpdNvJUxsqnqVXRK64OJo9WSQY2eplotVrcfXv1r/P3Vf7/l/FfWzxom 9g9EXk3klxwu9O1GfxL26PP38C8R3w3yrftP/PR2FeezGv/HDxfyjWzPuO81 76hGlrn6yCZltRoYdeLDo0ExqluZYd+rVE9Wrw0uMDDP8rt/vwOYl+vl/grI W4j8IPRV/S3iNxl79PxiTz7aEO/dZPxNEOf1GTykPmPLRYmvvBJVY39zr5N1 X6h79ga1uW2doR45W61wYk7G3285L9fL/V+Q9x35ndHXG/0q9uj57+MW+IP8 dCb+axBf8vwkPlL/obejS6YUyVAvWJSaWTE1Xc3+tTJ68Zq7f7/lvFwv8R+A vPLI90FfbfS/wR49PzeE7/bBJ7/I3+PkgxnxJs9T4iXt0eY/L2Zz6YS60XZY QIXU1X+/5bxcL/fL+D2J/NLww1z0N8Meff14Bz+nw3/F4Jf35K/MDxl/8nwl fpuwb/KBDJ+xS4v8/Zbzcr3cL+VJfnhjL/TtR/8h7NHXt3rYvx9/ssDzGP6W /C94xvwDnhf/C55HkD8ffbHof1g+N57y/DOJh5rEh4yXiv8lPg/+l/g8+A/x KeXVQf4A6sUe9I8Ozh2fMp9cyC9X8s2D/HtLPn76H+Z7+P8w398jzwb+D0Hf JfTf1+W75Cd7+oNizwR/ZcJnjeG3M/BzAR1/BvwX/vTX8afcPwp52TOEfIV6 mpks9K/5nZs/Jd+Hw/8TqQeJ1KOv1LdZ1I/Jw/539Ujyj+TfcPY3Qt475D9G nw/6D+vqkayftvRXS6ivv6m3s6m/L5A3CnyziIc8xNce8uE1+XuQ7xLMf2J9 CfYbUy9LnBTyt9GP9Hov9BfvnLu+y36k9AHRn2TSr1jQv/izvwX1twznM4h4 qku+5ZCvf+CXPPChwrw7643Y/wP8ViLfHn1GK4X+Ogdy90uyvytHf7qb/u8U 9kaD7xzOY8xrET+jiPfpp0V+fmkh+GRrTcF/pnzfY96T9aMfiP2LkVcJ/Eyx 7zX6Bx/I3X/KfjmF/rka8/fp/5YRD/HEi+zH+5GPm+Gz3vBvJvzsync8851Y 78b+i8g7h/xm4OeB/kqDcvfz/1fuR6l33pV4FuJj+2lG3kcjPVc7vmKUfy9c brXbE4eDMWVcEjP+FDgaM6TZkd4PPI82WzLW+9K2qxcda5aI65eaccOx3eNj hR1jE5t7fFu5b9/DVzF5DMeOFj7/NqZt+Pny33rFtqhxKcdmSct8yqv0afWb xZop8w9FH+sQEWTnE7xxSYx3U21F63FXnN2ttX0F3Aokpdva3zf3DBwxvaZS eW5E8PjafTTlz1vVZm60fZuR159aPBqiZHeoNcj2STctyPTz4A3fLB2eXR3v uHSSmRZ/LNlq1ChP5VTDvRGNunk7DLm8smvrAZ0198bdz1aqPUh5ZFHleNCm uQ6f+Xvz42K9/HunW0LOYuRLOfXQ+3aOsEfqHYedKa2E/dLOvfjV8YnwV/oV CA7e4CNxuA5uy8BT4mbsI3DuDf4SZz/OxWqmOC95Lp1n5j4/Ocr5+85CTo6F 2H8jeMW7H60uO1YPEePGsiPMEn++iGlla1Sq0Pq3MTZ5Dk+LNymk1G2W3fC8 bwElTx+TDQ0zamjnXC7Pv1K/rtY7oW3UViszLb/l0U5pER2UGOebJ3f0mKgV v97m1N66U5UGt8bdq+29WHs57EOzsZdHKAOW1l/QJW6W0qxus4HDXkzTosJn OhQ+tEbxeTgq+vLYAO0x3zuZr7xMrK/F/g//jzrzDKrqWdq9YkRRMScMKGLO IAiyljmgYsKAopgjGFHMCXMEBXPWP2YREwKyNgYUcxZERTGBCcwJ1HvqzG+s Yt576tyq++n9NLX2zHQ/3dP9dM/s20Le4+tC/mT0zSsn9CfECDwjWwt87uBd DP4t2PMM+75g79bNWf3QG//aK3Ev/T+Ec3IlD5Yh7wTybIs6Bni0yaudLCJG xztF/D70rGbUNrI73g+rZOzYvXjUggUuWvDVq8lTd7lq/u/SW0fWmmk0OdL8 48B+bY3dZh9+mQ/xNWZX6R8cYhNgjK8+pGDvcdu1qF8Tq0ZGLjSaJp5fXbzu cm2CZXgxv/sLNNt1vZadmbReWxW/8UW/lECtEN/fmU+9L9ZXZ/9w5I1Afj/0 DTss9B8Bj/01ga/hHoF3NPh3YU8L7FzPmLuksD9XI+GPPfjnpMITMr4LGyIP PIj/4fbinPZwTiejhb4C6HvccGqa5c3m2hY7MTp4HMw/evcwo0eoazPb7UON IxPuT7KfHmjMWJ9wtnPvldrCFlFl8r88aRQbvqFP3r3HNbcg5z8vXAxt5q9t VRO0o9ppl9rxibVy65cmOtpb3D2uZT+pud2bWl5fP/nh75iWsVpOvnszf5H1 1dmfirykYUJ+VfRlrhP6B4HnNfgWgfcl+DsxBmFfQfybif0X8Uck/okzsvKq 5I9geGZ1nOCXUOL/i4eI/1DOsVKIOMcShwWeZeB5uOpj7fhvU7RiAWLMuexZ 3TWtYwznvoX65XcP1u4HPrsetcBSL2iX8PzP8s/ak1d2szq3cdcdPW/7vy7X UH9a8p/2P87P0K23LM/nY+eue29dUedIzkB9cqeFIytlev39lvNyvRP7pbzC yH+Evuz9hP4C4GkbKPBdBO9F8JfHnkLkVSz22pP/L/DHD/wT+TRrHZL8/FMX PL4G/o6wErzS0xC80veQyI8g8qMp51yOc04F78ulAq/7uwjvwoFl9YGMNq27 uf8ZNkEPClti2e7bcL3c4GzmAe/26YM73Jp6zX293maC5/XuIy/q3xtO72Hh dFQ/0St01Ily9/Qiud/OOG8e9fdbzsv1cr+UJ+VXQV9/9PdiNMOfK8FbFvx+ 2HMC++qHCnsLRwv7k/DHCfzTpWnWui3r31HqpEVxUR/Pwtf94Ws7eGdbDsE7 CeRPffKnGnFwhzhQ7bnlMNii/L/sl+OoOZ6d1js81Dv9XvnH41/+Mb/w29az 0Vt99NdWi+q6vNB/z/HyqP82XW+5cv7rUq9S/37Leble7pfyVD1VlPNLBJ8V eMuD/zL2ZMM+V+wdgP2X8IdrCeGfS7Oy9jmyv1hJH1KQ/qM4dfAudbATfD4Q Pi8CL1ULFryk5tcgJU5UexPj+naMO5b2dzy72Gh093Wq/jpwQ8mE0u/0AhVa W7VZnqgnZ2/aMPRfv8tvOS/Xq3LU81HjXuWTMuDPiz19sa8i9sZjfz78URr/ TFX6Qtm/1aHPe3tL9Hfz6S9e04/kLizq5C/q5Hz4/jx8X0nhLTX/1DhS/eE2 r7dXh6Brf8ev63f9eXhxs753dZGiMwpF/f1W151T/K/GtcoXEp/EGwf+adhz BPtkX1CO/moB/qh7T/in3tGsfbTsj33oo+teFv3zQvq2e/Rte+g/jq0V/cdk pY5OpR6Moh4UVnitlZKfapyp/jLZ+yxZV6r//xhV/6pxq/KByrOyXk0Br+wL 9mPPU+zzw95Y7O+NPz5yv2ih3DvkKOPRGj/OwP+3kWNJPIaiJ4DzywGOSkqd VeuFyntq/qpxqPpTfn9T4lLNd5VH1fok8Um8v8IF/pyThD3zse8R8bgY+8vg j0j8+ORI1nuajMtJ5HuFuyJuLeGDePLaCr7wJ+5LwSdnyQsnpX9R67BaT1Re VPNbjVPV3+o+KU+tP2pdl/gkP54Cvyf2XE8Q9l3DXmfsv4w/VuKfn8q9VvLk eerPt+GCR+9Sn27As62pX23g4RfUt9LwdCWlL1yt9DdqnVbrjcqbav6rcaye hypX6lP7IYmvAHjb0b834n6wDvvWYG9j7q8O3GcHU2dcZ2d9B5B1Oy/vGCN5 FwjgXrqPuu8WJvopX+5bRbineNM3xCn9dm/6Ndl3qP2PWsfVeiTzUeU5tX6o dVntd2Tf6gUeiS/GU+ANBf847OmBfQ+5z97D/gz8EVxK+Od6s6zvJrKPDKA/ P0CfuZ/+vQJ9+DL6+wP0qfno/2vSx3blfvCbPtyKfre/gl/GxWPiQs03yWOy Xqn1Qa27aj8j8+Ah+vqh/w+48oCrGnhtwf+d++Jp7NuMvePpw4/gj0j8s1p5 Z5L3mgK8M9nz7lScd5DB3Iu6cN8M4N60jvvoNe5Vuxmzg88VfJeI06mce1ny KZB8coanYpT+KRP+l3X1T3jWenZa4eVi8Ivsr4egrxH6C4BnDPgq9BZ4yzH+ wJ5GvF+EY+9l7I/GHwfxz2flXU7esy/wfpHKPbwq7xvlsot7+j7ePw5xjz/F GIf+cuhvQpze4lyrkS8byJc38Go9eOh5puD3dXcFv3vTB2hrRN1cTD8yjO/J zD+OF+u/sr8B8hKRXxF95dF/FDzyHl0TvNnsBf6H2HNT2oW9TtjfCn+U/iH8 81J5x5TvPj68p33nXWgF722NeTdyZhyM/Ee8g4zi3Hw4t0DywRY+KAKv7oVn esHfP+U9KVPURSf63aFFRL+xj36jWILo487w/ZT+6wV11MT+a8hrj/xQ9FWC 5zxOCTx7wRcN3jDwt8BfZ7FvBfauY/yNP7rw7hulvPvKd8i2vPPO4p1yGuM/ 7M/J/ie8S54hbt2I9z7E+zV45BQ8shh+vkX9ekofYEbdmz1E9BN+70Q/8YA+ 7doV0aetpf+N4NtgfmKSWH+G/V/oM24i35l6sB/9EeCJA18weFeBvxJx5krc tcbeb9ifij8SGZcp7+Tq+3hnZd5f8ftaJZ69FZ7YpvCvjVLXHiv/G/xsm7UP S1f+h9ik3Bu2KfexJso996byftBV+T9lu/LetUn5f+aV8j67S3n3Xvwf/lfg f6Rj/K90gv+Zwvnf6ST/Q0Xwv1QE/1NF8r9VJP9jRfG/VhT/c/39lvNyvdwv 5Un5Up/UL/Go+O517/f01eNGWmrJP8uOdO5uPO0ac7KLzyTN9c+QqYdnBRru 7j6rquw6rpmcR+1YMCfBqL3RbvzzI2Ymm98lKlRb+skwnv4Iybcqlx6/ovPv KUGWeqVn4jv2l5gvwPoM9gci77WU303om1ZK6HfpIfCo/vsDvgK/FuY3M03Q fu8zfrh9CTK0Hlfrh+U9rL39fT/k/p9441C1u17HpowzDowZMXzA/NL6q5yt YkZ9LqY/zleg7ta35qZuDdeMSJtUzLQpv/gOYD6a9b1yi/3Z/wh5IcivsV/o 64r+euBVzzcX9uRm/csMiwehn49rZzf27Vugw02j6Wh9as9Gn7RugQ1Wl/5j bXI/ut/t2rmWpustx9isj6hvslhRrfHNFh30L5+bbNq1u7s+j+9ZzFdk/SD2 r0Beu01C/rBMoW8++seAR40/e/xfHfsOgC9bxQvj9qx/pTWKrvDjrVVJU+3k 2SO/vW5o2rRzse/6Y+10J1+3QssWu+tFos//61LaWa+br9rtHh499bx8/5gg 5qvvEutLsd8NeVHIv4q+oegfBx41P1YRL805j3HYux55zr6W14bOrqjXjl+3 ySFonCmHc32f4cMWmezDbr6+nWOqvtOtTBHzESF694qBPZqvP6Rf49tg/rCT WF+T/ZOQl4T8k+gLQv9L8Kj524b4vjRcxE8Rzqc39n+7J+R3dFi92PxFkOnc IY8K05P26wO+VDjzq+4F3WON95hO787qupGjTuLvCN2N78HMVwoV6x3Yn4m8 70+E/Mro860n9PuCR+WXrxtEPnoR70WIJ3fONxx/LARfqfBh+XMdu6o7haVO uZQSbdr+s4Ht/KlJpogZ98sUb5Zkus73QuZ11r9h/z4pD/n50TcO/Z/Bo/Lf VvhjL/lZlfjvRvxtPiLOrwP+SUL/5a4zf51KSTR51+pYu1OjM/roCQ3vf/t+ Wz/B9znmm7C+I/s/EQ9Pxgv5yS2EvtU5hP6c4FH52QW+S7MQfDKefM17SuTD FeLtVrA4z9IZwl9PwNPb3922x9E4PaZt73YLex3W5/MdzvwF/NuceHiLvEHI t1gp9HUpIPTvAY9aP+xWCn5eZif4r+0XwS/25iJ/d5MferSIv8ec7wz85wu+ +vEFggsk/2PaxvdK5pNYX4L4bYu8nsiXfJYC/6ZSL9T6Ng38lQsKe/bjT+8o YW889p/Fn/nwZxz+8sZ/x8G3lO/XzMfiz9b4Mwh5TfFnTvSlUx8eP83qT3n+ 5YmHXMRnLPGyAf6LIT4dia+uxFuObiL+xoCnCf47y3cy8WnN+nHsv0V8uhD/ 08mHSPQnKvEp8yk/9Xcy+VZD1g/y8SH5OYZ8vXdC5K/U/xl/veJ8//A9hPlC 5Ptz9teBf5OQPwF979HfZWPWfJf89AG+cjhw59/81RM+C4DfisDPVeG/tehr iH+eEQ9TiN9Mvtswv4H1pdnvJOUhfzv6BjQT+pc0ycqfku9zdBf8f4V6cJf6 UNEQ9SKF+tER+en4Vycegom3DuRHHN+LmT/K+mLsb4i8q9SjzejzR/8FpR7J +vmCevqB+tqA/mCztai/O5G3Gvs9OK/H8F/1SJEPZ/OI/K1G/lUkvuV6uf8a 8r4jvzf6GvYU+qtkG5qlvst+5BT9yXv6lU30L+vZH4+9IZxPA+IpnnwbQr6W hc8S+F7EvAXre7B/KfImIN8bfWfQ76/0S7K/u0K/l/236P9CWG+DfUs5j16T RPwsJ94XUD8WFBJ84mEv+O8c/Lad+WGsP35Q7J+MvNrIj0JfIfTfU/pP2S+v on9+wfwS7GmE/98QLxOI74LkYw74YwD8W456sYvva5li/gv1+iP5GoO8isgP Rl+S1K/08/9b7kfc544XrPLQY3ARW82FUf6e99ip7/E5mxnbWxTesWluS4N7 4YnzZoPOdfrSV9s3OnPYiv1DNO6P4e/r527fr9RMY+DR9z89YmYb3DNP9lt2 wGeh/Rot9s6n6nNiQ+R9NMKjuldQ655xxujnjd5kRJyU99bImO733YN/RmvL nlXpEjsjXd5vI32uf+h8z/qH9qDviQpP7Z/Le3DU/QZrf3wYsd8IqhFYLdzu rbwvRyXZBTVzTE82lplypua88UXeq6P22Yvfq9UU6+XvExsKOUuQL+V0Re8Y 8Ei9A3oKnOHglzgXY1cK9kq7bJYLP6TgH+mHSQ2E397iT+m3gBzCz7laCv9L Pw/gXGZxXvJctijnJ0c5v4JzNGe/3enDnaoe9tJsGZP6PTN9vzTN2PLU5Z1/ 2Gxjbe85Y/Q3G7WC3vUd3b6v10qZ6m6otjXK6D+16atTQTHGoYbdVja+td4o 2tF97ZSoJK2b+/xGC1JymQbuGzO33p58etCz0F3955c3bUnp2+3EuV9a4ZXz i9Y8bKlnhv2+2+ywhSnUrHWVyOCq+rXpftrp4iVMGXzPPSLmO7E+P/tdkeeM /CboG4T+B3UEnjXgCwbvN/DHY8877LP3EvYmY/9Exq7455kS99L/OzinVPLg APKe4D+b0XZ+Y8Zs1uoybuyztlNSYLRx8PS54T+2nTDqH3467ortLe1hy90P 8tk/0abOC6kSVriIKbTThqgi+R8bc/02JTc9n8eUK9/dg18XVTZlWq4w90u3 068k2kyv5m9lKp/90smPD8vpj9OuBo5bVVa37x585sg3W310reCcc6ZV0UPd xffsdDHvzfqB7P+OvBzI/zNR6NM7C/0rwZOrlcB3H7wuZwT+4p7CnpXY95yx Cf40fyb84Ub8Vh6TlSdkfDuRB5I33o4S57SHc1qPv5bjvyqfJiR9vXNPa8bo NWpKW9sZmcaQfZvvvzidYbzq4jA66pSNKajjop5VjEp66LBZG5qc6WzaONwi 74a57XTHf5xyai79TOdK3h/kmeSov4g4/OPLP331t165Tj/P7WYat8Mncf6V 8XpU0P0u5U/1MG3ke3J/Md82Uqxvy/5bu4Q8L+TPRd9O9EeCJxJ8ceDN+Vng H4odOfBnEva26CPsb0Dcjocfliq8Kvkj113BM3bwbBDxX534t+QcLTjHq+BZ CJ51fZaOX1KlkN6ztxh9GrRoOblsX9PZgeturq9WydRyWPWw8MzeprCTZgPr bRpkaj39buToAwv02qs/zZtVtbXJenPtzDLT1+p1Z9Roef3PbH2zR92Y6jm2 67tq3Tt+98zSv986841Zv2OV2D8ceeeQn3eo0JeJfl/wvAOfg6cYs3kL/GnY 0wn72mOvN/Yn4o/t+Gfg3ax1SPJz8DPB4wPg78kdBK+cqSV45V1HkR9+5Edr znkX5xw7QODtBN7W8ZsX+yYPNEXfE+P6a2d2/OmwRp8zeL/X6JTFesTazJ0u vU7q65war9i9KlQv2TNb45K3zumdJn8abPE8Wp/ccM2iik9O6xXztVgxYtpp fSLfHZkvyvpg9l9D3iTk30HfQvSXB0838Jnwb3fwe2LPQuzrBx+NtRH2H8Yf q/BPOaVuy/pXjTq50V3UxxLwtTl8fcFc8E5veK4L+TOb/BlBHJQi7iyw5yL2 eLU4ePmlpaFPYLQ7FO3WIc9xvcuv2Bl1rGL0yHKDAy0j7pjqbDhlbWZ+0rTN yrHOFe2h6fuJFx+iDl82hfDdh/ljrNfZ3wp5U5Hvw/gV/dXB05Y4DQbvVPC7 YM+yScK+a9hbAfst8YdPD+GfekqfI/uLyfQhdek/kl6KOliNOugDn6fD53ng pf3w0vZAkV+dyS9H4iSNOCmOvfbYu3Ps44jskQmmk4xFRvR9snbVcVPhZua2 U47eMHk3tE06de2q3qtLqdrfxp80TeW7uJxnfTj7tzBKf7qg7xH6p4OnBvhy Bgi8T8DfuYSwZ5u0776wtx72J74Q/siPf7Z6Zu0LZf8WQJ833U70d6foLzT6 i1rvRZ2sTJ1cBN+Xg+/XwVv54C1L8q8a+XeZODpDHGU0Ff4oMFL4I+VK3uZv Wl3XDzGmuRd7+fXQMV374tfg0cQ4PXt38R3J/APGhfhTyrsi4xR9NuhvDp4C 4OsD3gTwWw8Q9ph+X/y3ffuxN2eAsL/1UeGPE67CPyVrZe2jZX9cL0b00TMa if651wzRt1XLIfq25rVF/xHYTfQfjYNFHQ2hjlauLeqBN/XgpbngtRB4zS9c 5OcZ8vN1ZxFntsTZIPwl/TeiW94eKzOD9eGMyxi/Mz+Y9a3Yfw15p5Bvgb5Z 6K8Azy4HXxz1awf4L9IXlKa/iqTfKo396fSxdfGPodw75FgJ/+5jnRX+r4Gc P5xPf/x4i3jcBY69nO9IcGbj/Pdjx3LiIw47M4mfuvjhJvH1DT89ZFyK/97w bUFc3mF9V/ZLPjiM/Fbo80G/B3jmga8NeHuCP4N+azx+HE6fupP+vwH52Zh7 2usaWe9pf+OSfL/TmriFHw+S13PhCxn3Q+GTQeTF2ZWCb55tEnlTEz5qSF7l gK8ukHeh8Nk78rIpYwj+GY5/mhJ3A/k+Jf3H+nmMm5F3FPkt0GeFftkXFCav 3em3PtG3tofvX/8R9q2kHjTC/jrcmxo5Cf9sVe61kifbU38KwaN21Keq8OxD 6lcMPDyW+nYanh5H/asCj+elPqbD8x2pn/2oA8UYz2H/Wey3Iq4M4uof6swR vqswH856WWcaI68yYwD6DPTfAk8f8F0Erw33gbPYk72wsK8696J52B+MP0bh n8vKO4Cs24VeiH6oYi9R18dxL/Wn7n/uIvqpeO5bYfRbJ+kbfAeJfuwAfcU3 +rZg+g53Rn/sO4N9tYmbUsTNCPJxHPnYGJ6T/WOoUj+Ksl/2BWOQvxd93ozj wbMCfNoQgfcV+Iu4CXt2YN96d2HvBexv7ib8Eekh/FP/ZdZ3E9lHLqI/P0Gf +Zn+/VV50YdOoL/fQJ/qtl/0//XoY537ivvBaPrcVYzu4F8Dfl/ioiBxMZJ8 OwgfOMJj7eAxC+qDF98OzL9mvavSz5RFfm30PUG/J3gGM6Zx/+oP/tvcZ9Zh X1PsvUsffgl/hOKfDnezvjPJe02eY+K+2JB3p1Tuk7VixL1oE/f5BO5NxbiX ruVe1Y4xAHwrwTdgsDj3h5z7CvLpNXywAF69CE9tg/+7wf956ANm8D2f+enw cn76wI3Im478Leg7S564gac698EI8P7DWA97zMKEfQnY2wL72/kIf4zEP+2P ZX2Xk/fs6bxffOYe7sr7Rir3dJ8x4v1jAvf4WYze6O+D/vLE6UHOtRD5Mpd8 kbw6F55tSb2KzxD8voU+ILaLqJv56K/cuorvHPR5D36J9b+Li/0bkNcc+eHo 2wf/LAZPAnEn/TUQ/Br21Gesib2h2F8Bf8Thn85jsr5jynefObxj/uRdyOuM eG8r3V+8G1kyFkP+DuSncm52nFsT8sGnisiHud0Ez5yAZ55Rr+rD318SRF2c Tl2M+SD6jfv0G0foW/PRf81nPoH1v9n/66mQF4v8weh7Da+/rCzwuIBvAHi/ gV/aUwT7KmJvQ8bx+OM7/glU3n3lO+Rn3nk38E65mXE1+8vmFPtrcC6JnEtv 4n018f4YHjkt7/Pwcyz87ETd+3xN1D1535rnLvqJ0vStPRxEn+bGfaAO332Z n9BBrN/A/q/Ik/fgStTLKdTLzeA5Ab6h4B0I/kfYY419mfhrLvZvxB+rGNOV d3L1ffyDMr9Z8XsHJZ7dFZ7oo/DvqxdZ61pPpV/Y6Jm1D+tdK2t/2y4m671h sHIfW6Tcc+so7wcFXmR9l9GV964mx7K+I3ZX3meXtMz67p36H/5XKO+9wSNo W7RdyLOYL3bNijUq2Xf/x4H1Wjgcdor8tquhq6N3gaq1On2s0fhPb7eWW1Ne NN5y7FfFiM0znNweh/iu9f/gFKSNc3bMbO5ce4PJosq6Cc4Nqy/0G274//2W 83K93C/lSflSn9Qv8aj4/qn7063jqSMuu6+usZk98Wb0IpuDC4b0++hi3qlT xYr7LYw31b50bxpRX7s3bnPpj8XcjRbZV928tmOmUWR92I16ZmONRaOj8obu n6MtOVt8ea0aS7UIvg+vE/OWrN/D/lbVhbw+yP+Dvi/ofwQe1X9jmf80JteB kFrvXVaFDfVYV6OwUbxknZrfWtbQUroNfb9iTzej4PtPh5pUSIv2nd+oWkRK kLZ9U7OFc2sEal3e3tj823m+ceHY3rO9zwYYi/kexPwk1oc2/fzv/Y3dhbwh yE9Dn8NYoX8veNTzvYw9v1if+5+e47dm1NfMK9V39ujRwXg/JJvVwMljtK23 kxyeTN9szO0xYmcBs9PG3KOtK7fbd8C40/tW4WGhF7Tip6tFP7f/V//RR3zH HBHzXqwfyv6QoUJef+RPRJ/rEfRXEXjU+PvaUfh/dglhX2xFsf9ozdwv734f rCWdLNLc890qw6lLp9iPX0ON7Xfn6QnZr2lFllYtmPfWZy27S69DVgOK6TGb fxf9EVtRz8G3OfMprJ/N/voRQt435Pe1Fvqeon+cm8Cj5ocv8XKS89iCvU+Q 12Ni1b0H2m3VQv5Zfrybzy2jR4ztvA21GurNuwUVrp48Ss+ft3XRJW0X63ti rXf5fVr197sF8/1Y78Z+l0lCXjLyKw4T+p6hfwd41Pz9NFbEt13RL/+On023 xPlcwv5mu4T8ZccqxffL66ofWOr34nfaKn1Gc8fGdydG673MVnSyq35Lr/82 R+m9AfF/v6cxf5D1cv8s5D1Gfgz6HpUS+vOQbyq/xGcT+fhxnoh3N+Ip6o44 r774Yz/66tXqf9Hc+7I+xrOWVqfGS334w+TZG8qn61tvfjy48VO6PoxvOS/X S7zSv32Jh57ocyHfvoFH5b+u8Edj8vNcmIj/gsRXa85vOv6R+nOWOaj3ypOu 943qNvP7o2T9SNyDrUc2xv/9lvNyvfS/jIe8yG9JvvVCvz94VH6OhO/83wk+ eU3+fm4i8kHGmzxP6T+JZ5jXx8GDHx3TT+y2evji66q/33Jerpf7pbwfyE9D 3x/47CB41PpxBn7OgP/qwi8G+SvzQ8bfNs5X+u84+Ao6hPsV+vDGkHjlvFwv 9+9G3mnJD+hbiv4x4FHr21Xwn8Cff7DvI/Za/Bd/Dv0P/uz3H/yZD3lpyJ+I voHoH6b4U43PYsTHO+Lz5xIRP62U+BxLvOX4L/GZ4z/EZ0vkWROfD4nPY+i/ p8SnzKeP5FdF8s2D/KtOPnqSnwf+H/N9+H/J9y7Ik/ViE/rWoH9m9qz5Lvlp EXzlnVvU3ybUt4+dBb99gO9WwH+Sn6b/F/6U89K+leyvAt+bkD8KfT3Oif4h RuFPyfer4f/z1IMP1KM46sVU6kcf5PfCH/L8ZLztVuqRnJfn8Qd7E6hvm5F/ F33b0T9JqUeyfuamvxpP/3KHetu3lqi/65DnQP3w4LyuEr9J5MNJ8veN5Bvm m7P+Kf7bg7xNyG9LP5KC/gWdstZ32Y/Y05+MpF+ZS/+ygP2VqL9zOZ9RxNM9 8s2M/qgi/PKV/H3EvDvrO7A/Cf91RP5K9PVBfz2lX5L9Xf5rot8LpP+rxvrr 2HeE8yj/TcRPJ+J9yUaRn6fSBZ/sOQ7/pYnvdObrsL5Muti/D3kG8vuhbyP6 ba5l7T9lv5xJ/1yE+Y/0o7Px/3ziJYz4LkE+loA/vsF3Z+Hnm3zrzH+BT9az f47Sz9vhv7Lot6qXtZ//33I/sq1mNPUMHG2/e+OMDW+K7nDZxSh/31I8t+nd k6hoj+cZvw9ciYn28i3R9EznsEYxXWuMMS1OcKnvtOHPYVOyy5spK2cmH7vs MGlQh9TOId+jY7vfczw6LiO62dHlXdt0jXG0X9HrzT/1imiJQ+o1ORFSSbv0 q0Rx673LG/9MnBW98EMLo+HV3F7DmtkZP+I1r4QEeyeL15YB/ZY6ap8XZ0+5 enmEUWxn6qt3vlFON460ya6t8dWa6DsbdFzR38hcf9n39ZvyzvuHDD3nM9LW +NHA+vytMsO0oZk35s1r1995a7r37OP9+xqrE1tubpw0Thvyo8H0M6tmO2/n d4eGYr383XyEkPNFE/KlnKvojQeP1FsEnGevCPwSZ80Hwq7aQ4W90q7F+KFI D+Ef6YdX+C0Qf0q/2XUTfg7G/9LPZiXEudzlvOS5fFXOT45y3gY5AZzrerNn L/w/33dJZHTruPLcp7Nfo0tN+f5gUq+M6P1zs9+ql1RCaxJXZMWXVsW1xtMr F/29rZGR1vbhBtvqzkbHklM7LupV3PBqabl/Yx0P7fyu7QNKfJxjuLUdkFr/ 3nztzVSzG82zrTde+piHtBk4WfO42CRkc8+l2vQxRwa2mr3QaB+Rc0+erju1 TP394dElVxl9+I5hPpP1vdkfhbz6yF+NvqLov11I4JnWTuCbC97l4C/iL+w5 gH27sLdzDmH/Y/yQjH98lbiX/vfjnJaTB6ORNxx5Dle3v6poVUq7cEWMd7we hrdydDTKnRgwYuziBsbTjluyP4jqqL34fll3WN5bc+3X0izXxuXGuY6drZ+M 8jAM823xOf38DctWNZ+NyLbN+DFi1NLrDcI0y0VWh0/1WmvYJy247Ltwg5by 7Z/KmbvWaB1tJnXKXyJEm91kR2J0yHZtIt9Vv4v5iqw/sVDszzNSyMuH/A7o 295B6J8IntE/BL5RbgKvO/i1/sIeV+zczXgU+5PwxyP8c1bhCRnf991FHiwi /udcEOdkzTmFHBf69uK/JU1yWd4+2lXr4CLGMutzLRrfw89I+llmiOOpSYbv OZ9NrdO3Ge5j41zyGFs0v9ob1ziZXTJ2/y7ZeEXVWG3uENsZzy4fMWY3zvU7 rWO0dmRTl2axoXn0NWaNk5of9TduLtnZvm+DivqdurvmTq2+VrvFd748Yj6G 9T8dxf6Rg5GH/Cro+zVG6K8PnsEZAp8HeJeC/zX21MKfr7B3HPZfwh9P8I+3 wquSP+bAM3uXC365SfxXI/4/cI7DOohzXAueYeAxJR13qpu6WLN5KMaIvY3y D/x42/j00H3F9k9+2qcFS19OCC2k71yc9jbnqvfaMMstf5oGuuv7PnWfcdCi od6m/CNzv3cz9IAJ664X9nbXAyrVcTlUJFDP9bWLjXfN/n+/5Xxr1u9nv5S3 HfnmC4W+pclC/xnwVHsk8D0B7wbwR2CPHXll81PY2x/7rV2FP/7gnxNDs9Yh yc97LwserwB/l2kheOWKueCVjHYiP3qSH6U45+dnxTm/eSXwrgdvhxdzfrTa VEYfwdircNseM5ZN0K949HqdbD1CX7uhQb/Z2ffrk6NKvTw0er2ee3IP2wfj L+rVihS3aNf6qJ7T0upjX+t7eurTmmYlSkX9/Zbzcr3cL+VdRr4H+gajvxtj OPiOpAq8SeB3wp752NfVVdgbnVvYXw1/tMU/Dy5nrduy/k2mTjqniPr4tY3g 69HwdXhLwTsX8gneGUj+VCJ/EomD58TdJcWe1Xfqxvn8y/4gxpR/pqUYjR/q dWd9v7ur4j3dLcwzpXyDt7rN4YutPzu/0K+6Nrcf+TJdn+zd9FGLl6l/vysz L9fXYb+UJ+VLfb3RL/37FXwR4M0D/mHY44x9z7F3qKxX1K8OqcI/B5U+R/YX ++hDltJ/PPIWdXARdXA4fH6P+jADXooaJHjpEPk1lPxS40S116ZMgmNEaNrf 8UdY3tKRr1L1bbPW1fcp8U53a/SkgNfqRL14SY8jo//1u/yW899Zr8qR8qU+ Ne5l/ks+sIZX92PPV+xbib27sd+GvuAE/rmuZe0LZf82gT6vzmjR312hv8h2 SfQXW6iTTo9EnZyRW/D9Kfh+lcJbav6pcaT6o0bbjr9Lbb/2d6xtYTnkypvN etSj6d/mVY7Sa/Gtrvsf/ke+1Cf1VwWPxBcI3mjwD8kl7BmHfZ2wNx/2H8Yf Z32Ef1wbZu2jZX8cSR+tvxf9s3VT0bd50rf9Q/+RUln0HzlrZ62jaj14qfCa mp9qnKn+st48sP+y/v3/x6j6V41blQ+k/hTwSHw5wSv7gsR6wh5X+qtO2NsK +5/Txx7kfjFJuXfIcQ3+nYMfU/D/cORc5nyu4MdY+o/b4Fit1NmqSr2orPCe mr8yvqQfayv+rK38Lter+a7yqFqfJD4Zj1fAP+m347/teYd9PbC3MPb3wx9z 8GNx5Z4m43IF+T5hnIjbm/BjSeK6AXwR9VDE/Vz4JIK8CIVvWpE3fkodrqPW E4UX1fxW41T1t7pPylPrj9Qv8ci83gveA+AvQx87AvvMuR8M5960C35sNkb4 p7qe9V4reXIz9Wc2PFqc+rQCnr1H/YqFhydT375SZy4qfeElpb9ZrdRptd6o vKnm//+IY+U8VLmybkv9V8Ej8e0Crw/3gTPYU5l7kTX3oi/YPx5/fMQ/pZdk fQeQdfsi7wAZr0Rdz869NIa6X4P73RDuW1/otwbSNxiPRT/2hb6iN/2a7Dtk /6jap8aNmo8qz9ko9UOty0FKvyP7rgHgeQ++14kC7xrwV+XetR37fmBvAvZr +GMk7ybtrmZ9N5F95Bb68zb0mdno31fRh+amv59LnxpO//+QPnY99wPZ595j HAZ+6V/Zx6n9keQDyauB8JhaHyTPyfVqPyPlZ+M+44X+4+CR+BzB+wr8C7Bn HvYlc3+rmVfY/4j7XUv8M195Z5L3mtfcF/vx7qTxDnKCe1F37vNp3Ju6cC+9 zr1qH2M+8OXjPhucJM59Bud+gnwqSD6FwVNHlf7pKvyfm7oqv+X8CdYfZP8L +MVAfif0DX8k9D/CXzr4noH3FeMS7HHj/WIZ9r7A/t34Yxv+maG8y8l79jPe L6oNFvdwq6nifeM49/QE3j/6cI8fybgN/VvQf55z3cq52pMv/cmXhfDQSXi2 KfVqyH3B7/Hmog8YU0nUTfM6oh9J57sVfcK5B2J9f/abkDcK+U3Q9xH+8QPP dvB5gncz+EdhT3/Gs9i7C/st8UdN/PNSeceU7z4XeU/rxLvmWN7diruJd6OS jIuQ74v85Zzbbc7tCflwm3wIhmcuwTOfqFcG/L1mgaiL/egLMn6IfqMt/Ya5 i+jjXPlu8CNrf5ybPmI58h4h/xj6NqG/Xh7yE3yJ4F0JfumvSOyzwd5ajGvx hzf+ea68+8p3yAKbxDtvLd6BbRgXsL8v+6/yDveD96Mg4j2IeP8Aj7jBI7Xg 53D4uTZ1L4i650N/lTRf9BNOY0WfZv1R9Gl1uA/0+yC+f9LHTZwk1h9m/zzk WSLfHX150d8UPM/Atwa8y8BflzgrQNwNwN5V2O+BPzoy1tiU9Z1cfR8vocw/ VfweqsTzBIUnliv8a63UtXPK/wYNlf8Xmtll7W+fK/eGs8p9zE+55+5W3g++ XMn6LuOvvHc165H1HfGZ8j57W3n3tt30f/9fgf+RjvG/0gn+Zwrnf6eT/A8V wf9SEfxPFcn/VpH8jxXF/1pR/M/191vOy/Vyv5Qn5Ut9Ur/Eo+KbF/Xqwc6G jbTKWtyPPIa74dHvw7n5HyZqHeZf72lVNNBoeqTGzmJBx7Wei+YPee4Ub6xN 3vnZO7eZqXmVeU3W3P1o1GvUa0T5iJy6j8eSIiGxhXQrvq2Z38z6APbPQV5n 5N9AXw/0HwCP6r9izNv+c6vyhBYTtH6JwfXPrwwyzl0IfOrfN1RzXF0tR+e9 8cZMh0UWZ2z2aM1yLHj5NldpfXzlr2Y3KxXTh9wfUNEizNy05HRA0cT3RU2H EsT3dubnsv5EE7F/EvLikB+Gvi7otwOPer4XsecG66d4XWp/KeS49mZyQLn+ OW8a87yqOyYM/aRtLNN8pXMja1P3dgfSHeq0NNma1fRr1ri+abn78y+Hl7bX Z055eOdUse76Kr6fZRfzHVm/m/33kfce+enoy/tA6P8BHjX+rs0T/s+NfXXZ 7/DxxuvBxV9p0zofC7h5uYSpnL/XKHNTA1N0ztIOjeu309fdue48NbmbnuJW z7ll/866q11HU0KNXrpvJ/H9k/kpucT6AnK/lIf8keizRf8r8Kj5cYt4+c15 3MTeuV2EvMS4hhm3P1nrdzZ09XavN85Uv6DT9uy5FpnODFg5L/u4qXqHq5e7 D/cM0QvXXVLFYvYh3ZPvFgPF/K8CYv1N9u++KOStQ367/kJfhyChv85RgUfN 38kLRXw3txXxU4Lz6YP9U5GfaDZ+zebZQabVLbqHvLuxX2/3z49+2Upf0FdM mpBj4+Oz+rBWP+NWvY/Qt/LdnfmfrL/P/tnI24b80ugbUUHonwgelV+6kI9B ZiLeSxBP43OI8/qAP8zQ55n2ZEz3+Vf1xHJlXh99F226UXWF2aQ+SaYZFwrN 21YlyXSN79XMr2T9XPZ/Qd4x4qcB+mqRbzPAo/JfMRvBH1srify8n03Ef23i a9MgcX6l8E939H8+7tNs75VEU3qukIhiZc/oC6LimiUl3datcovvWOZbsb4r +3cTD2ORP4t8s4YfwsCj8vN4+C72geCTNeRry44iHzyIt8cTxXlaVhP+ygDf jk2dtr/fEadfum1bdWifw3o4313Aex3/ehMPGvKakH+L0dckUehvDR61fuTu Lfi58RnBf1fhFzPydwT5Ma2liD95vqPxXzj4PKPOXAye+Y/pKt9rmO/H+i3E rxXyviF/IfrKw78jqBdqfXsO/rsPhT1Fugv7fnYQ9vpi/yv8mQ9//sGfEfgv EXwX+W6AP9/hz1b4szTyHDmv1vhT5zztFH/K879XWcRDQ+IzkvgMuC3iZyHx WZT42kW8uZ8Q8ZcG3gn4rz74zhGfHZT4TCE+NxGfPYlPW+JzjRKfMp/GkV8f yPea5F9T8vE3+VmXfLUlf7egPw/+ncv5OvO9gfmhrB/J/u7w7zzkj0VfT/L9 mJLvkp+c6A8KusBf8FnMXMFv++G7U/DfEPSVxz/mnOcP4rcZ362Z92b9Ofbv QV468n3RV5D+ofGirPwp+b4//L+UejCC+vCKevGd+vEY+bb44zrn50q81Sc/ evDdjHh5ynkcYP9Y5LVFfi70ZVIPXx/JWo9k/VxGfxUQJ+prKvV25idRfz2Q F4b96zivEsTvjfYiH5IbiPxdT35cZ74b67NRf5yQF099f44+S/T3mp+1vst+ xMdL9CdB9Cv2/UX/MnuK2O+IvZc5nw7E0y/yrQz8EA2/PCB/k5kvxfop7P9F //AVfF/olyzRn88ra78k+7tP9HtVQ0T/p7He66Kwrybx8KW1iB8n4v2dtcjP 7UmCT/KfFfy3A37xhj/SyE9r4u8951sS/5VG3yr6z4VK/yn7ZZtTon/+xnwp 7PmK/3MRv+eI7wDy8Q18lsdB8F1O6sVG+C8f/DKM9Xbsf0D89UV+DvRNRf99 pZ//33I/4j53vNjvvDbrvatoNRnl7707z4/IF9zU2P1s0KPPX1oY3AtPdCnh +ipfh76aZ3T7PW/thmjcH8Pt89S8NW35DKPWhLeHdI/ZBvfMk2Waz2neueQa LaXX7QcuC0LkfTRidpFTHYq2u2DEta39sO/ik/LeGjml+fUWfVxjtHDNpufN dWnyfhvZ+VWHoB1jvmteFlG/fg1/Ju/BUe1inb6Wm3fE2B+da2a+8W/kfTnK MseXSY4fko2bLhNyWJT+Iu/VUSPMxO8jWC9/Tz8r5IxBvpQzG733wSP1Vm4h cBZtJ/BLnLuxy8pD2CvtaosfauIf6Ycg/BaGP6XfduPn0/hf+nka59KC85Ln 0ko5PznK+enI8WS/fcUJJTw/99NcGfs+n9Vzuj7NiP8ZWm/jkNmGS821FR/P 2qj5vBrb9PiY9dry1Ocjzz2JNB77XFtpuyLGWBLmEPf+5DzNrMTcYf4THmn5 Vz+7PTMzpynP17IrJ8Sb67ddWyVf31DO9GNn4/CE2Eyty59iC23rWOpOfZ4P Sj2R3xQeFbL5aLit/uvn2eUpzYubNvFdgfkFrL/JfhPySiM/B/qaof9apMBT ZrTAtxu8s8C/GXusMoR9q7B3A/Z3ZxyPfw4qcS/9f5RzasP5lEPeWOT1bVHa 5W7OzVpiczG2nVw9w7NFtOEaNdO6tnbCOPz44oHXQ29pQ+xeerQv9UQzHzLt fYX+hU2FKtcqFH3lidFj4LC3SVNzmTLDQq6Y1atsCs3ZIcRhop1+ybNly9jl ZU1FLNNqXvC20mf4rEyLaVRWtwn6krH2uK3e6UbtQtX/2OhpfBdmPoX1P9n/ E3lWR4T89gOEvp7oLw2e7eC7B95W4N+HPZ7YeYIxCPtb448Z+Oe1whMyvg+O F3ngS/yfSBXnFMU5GZFCX3n0rSzas5zt8nuadzEx/ul4qmGd8Ayj1Nx5izaY ZRqdTy6v7tuisulQp2H7k80r6R9v9asQ2quzaVf/y4vHprTVDxR98qbktr4m K4vd8+ybOuple0/cZzm4r+7eY1ZqCdeOplytb/q+WD1ebzk+cPm9Cj1M2eQ3 8/NZfye/2D8AeRuQfwt9B9FvBZ414MvnJvBOBf897NmEfTewNx37b+CPk/jn yvisvCr5Yzk8s6aZ4JcexP9o4j+Vc3yZJM7xKnhagafYzRWtcn4upB+4JsYz 624dr7vC07Tfarnpo2tlU5Vh31/d8e5tGhO9tHBKh0GmDt4zgk76LtCvNvf4 mutDC1Ol1r4TO8xeq5tvznww7etsvcy2AScLWG/Xb5Yz/jm9Yalek++fm8R8 M9Y3byH2L0PeeuRbDxX6AtB/CzwLrwt8y8Ar8dfxF/ZoxGl5e2GvH/ZvxB83 8M9Tj6x1SPJz9zaCx7fC3xeLCV45dlXwiqu1yI885EcuzvlYuDjnOmUF3o3g fX2mfLDPlIGmD6fF+OXZydpXtTW666rf1T6XXKL/CbB/5t/9pO5iu/R1gw2h +nn3qluKXDyn3zEq7h71MFr/fujUl9/XT+vFXub/esb3tP6J79vMX2Z9M/Zb Bgp5GvJdngt979AfDp7T4IstI/CGgj8b9tTCvjsVhb2Pbwv7Q/DHU/xTo03W ui3rX1HqpGUzUR/XfhF8fWqV4OtF8Nq0QYJ32pA/V8ifF6dEHBwi7tYGCnts sMd6TbnVfhaGnp9xVlSJtw1Sjum/vE7Znc8Xo+cr6tvd9uAdU8HBbYxthU+a et4Y41ykzkNTFTPXhQu2XTb14LsQ8zlYn6e/2B+CvFLIb8DYAv1m+NcMfL2I 2/3g98aeX/B4MvZuxv5k/DEF/6xQ+hzZX3jlF31IcqroPzrsEHWwE3VwVR/B 50Ph84X5BC9ZwUvzdZFf1cmvsCoiTlyIkxf4ywN7e5xrN7PPwQTTMEb3BweL L9l23HSuZPWGcw7cMCXW21K3/dGreoR7euRu35Omx3ybmG/G+tHsb864GPmf 0Vcb/XmI24ngywGfjAJ/a3j2Kva1pH4dwv5a9AUe9Gdv82ftC2X/NtMQfd7I 66K/O0Z/cYX+4uFoUSdbFRB1cj18PwS+nwavJbQSvLWQ/HtM/tUgjmoRR7vx x1n8sbr+xdmdGl/XRzP+/LFD2xt9TL/s13y497g4/S3fy5jfwmhi/1bklUR+ 4iChLwH9t8BjBq9WAq8P+D2xp2tBYd97+oKz2O+FP2ZfEf75rPTRsj/uoIk+ eg599dAM0bddpG+7Tv8xf7XoP0Kpo3moo03Li3rwaauoB/deCF4rEyp4bQ35 OYn8XEKc7SbOnuCv6/ir5bXrV76/C9YLMrZmfMf8S9ZfZn8w8jyR3wR9f+DV vPBsBepVBPXrTyuBvx32HKW/ssDe7dj/iT52LfeLE8q9Q46OJuHfQjnFOjdP 4f/sp4Scg2PE+TTEj7V6ivOrgh8DON80/OjP+dfAj/bE40TsPEL87MMPC4iv JPz0hrER/kvn+zPjOtZLP4Yhrwvyi6EvHT8+Bk8B/OgA3sf40Z54rIsfh5N/ s/CjB/EYih/LGFnvaTIuzcj3yLsibh9sF3zQIlvxf8f1796CLz7mF3HvCD9e IC+6aoJvYsjrM/BjKnl1Hb6qQ95JXvxMXg5j7Id/vuKfK8Sd5MeFzLuyfiWj O/LyIv89+mLRbwU/PgWfP/zoAv7S8OMBC2FfM/hR5nU++HHbDeGfZ/mz3mv/ 8iT1J406c4v6NBSeNahfss74UN+c4OlK1L9K8Pgp6rUDPJ+X+jmaOlCLcSz2 22L/NeKqG3HVq7vI13Z832TejPVj2L8PedMZNfTlQf8E6rWsM8PAuxb8J7Dn IfaZcS+Kx/7q3Dd9qTMJyjuArNuXeMew4V0gtbjol+pyT+3K/aoX960A+q1P 9A3P6Hd30//2ol/7Rd8Yy1gd+3JiX4YSN1XIx7zwwUZ4Ljffi5i/zfqr7LdH XlHkF6PfSUSvC3iG0PdsAe8f8E/HnsX0PWmVhL1W2H8Df4znfedY26zvJrKP LNFb9Of5i4o+8yz9+4yXog9tT3+v0afOof8fKfvwW+J+cJ0+9wvjefrgvfi3 PnFRmrgoQb6tId/OwmMJ8Own6tUfvuOYT2V9PvY3RV4aebASfXb47xR4IhhT bwi8J8F/n/tZRex7xP3t+jVh/0j8cZs+fKvyziTvNeN4Z9rOu9N53kEGvhL3 ogvc5z9xb9rNvbRcJ3Gv+sX9Kgl8ceCbUU6ce/Hb4ty7kE+B5JMfvNoPnloB /8v7dQX6gM/Ug47Mh7A+kb61JPJqI/82cTaNuDsNnvXgWwjejYzDsec89vlh 70vuhQvwhzv+aa68y8l79kBDvF+MzCvu4dt534itJe7p41qK9w/bKeIeX5+x cXGhf9YTod+OOG3Fub4iX1L7i3wJhIc84aER1Kt95oLf29MHDAoUdXM7/Ugv +oQ46moG9cCb/WOR54b8nfCPH/rLgSeduEvCX6vx3zneJ0yMh3nvKYb9XfDH A94pMpV3TPnu4/1cvKcNKSnehSZZi/e2nS/Eu9F2xt/In4n89qfEuR0ibn+R Dz/viHwYbCN4pj8885Z6tQP+PkMfUI2+IG6s6Dcy6Ddcb4o+7gTfqfQjhVjf lHuWB/JOIT+T+5wFvL6Bd4J74PtCnK0h7gphzx7sS+W97B3jDd4f7/Ju9l15 95XvkHG88z7gnfIO4yL8ORH/+nAuNsTt4Nci3nO2EPE+Ax4xg2f38I76jfr1 iz4gL3XvHf2V7wPRT2yjb22VS/RpU7kPrOB+kEoft+SmWG/D/fUrfUY08kOo B2epDxfgtX7gG0J+riBfE4kzN+yLwl8G/luLP+Q4WnknV9/HbyvzC55n9buV kTWeXyg8EaHwb5Tyf0CI0i98ype1D7tkytrfTtey3hs2GVnvY87KPbeX8n6w Ufk/Za7y3tVc+X/mm/I+m6K8ew//D/8rVH+0+HevRdF2Q6e2zLOrXrFGDw53 rBpWsYXDIIdO9xuVd3VcG+Ru1ephjcZFv8xPOHb3ReMKjTLLzp4/w+n0HI9+ LSd+cKqxJbZM2Nvmzl+OzhhcftEE5zlFwvybH/L/+y3n5Xq5X8qT8qU+qV/i UfGNGj/uyT/1zrg0uz87PvH3k+hlHqOm6D+yazbGjl3pmWWNSrG/ftzd00zz tR+e72bxQcb7x67LqwQsNx49fXqoQPJMY5p1fsuyfwK0tDrXEscX2qBN4bsX 8zGst2H/SeT1QX653kLfGvTHgEf1X0Hmu/ZoMy4z8I9Lk1GvQy/FVzSSAx89 rHa8sRZexa2/NnCQEdPxw9axVxpo565Hlvoze5dm3X2DxUL/bdotxxSHZvmD jbMZAe269NpmuPJdmPlw1l9sKfa3tRXycq4S8sPQdw/9HuBRz/cW/jvE+tuT vcdVimqmxUyPqDvpaR/DwcV+TJWYWdrYkutteugHjGNlcpbMWHzDcI7q6z4o 3ynjVeqCzWHx97R5gfE/Dvgna7/43hIp5oNYX5z9gzUh7wfyB0wR+jLRXxv/ qvGXPVr43wH/DZkm9peft2D33pW+2s3yS97dPLDDGLCv0pwIH8O40vdD+8kV 7mv+1zZ/PHn2u2YRnd2/jnNxPWL0jJx+I6z1snwHMv+c9XfYP6CCkNcG+Xbg 3YX+Q+BR88NEvGzlPMyw9w3yusYXvF50Yqg2ffT7YRsHfDSmrd/WND6mnj7r 7uC8dQp46+Udq+h7AhfrW/I/Otu2yuq/33OZX8J6nf3Z7gt5D5B/HH0x6P8J HjV/x9iJ+C7vKOKnXQlxPpb7hf1HfYT8w30ndn7/vY1e/0FR2xlWq/X9v/oW XbQxWnd8U3Rl1/q39JVTtlh/DY7/+72P+Qasl/ufIq8Z8qejb6uD0L8CPCq/ jCYfbYn3ycTTBk9xXovwh8S3u3CudkXnXdYb+jYvVa7qSz3DI+OGQ5F0/dHT rRs7pqT//Zbzcr3cvxh5M4iHxehbjv494FH5zz9Z8McDd5GfiyJE/K8mvhZy ftJ/Uv+Mn565R2Sm6Y2/9mmyJzlZD2/R6cjz/fF/v+W8HevlfhkP85BfhHz7 gv5U8Kj8vAy+29lY8MkT8vXbKZEPMt7keUp/STztt6RE7851XD96IyNjca3V f7/lvFwv95dD3h/k53gl9E1B/2bwqPXDra7g53qZgv+OwS/Hyd+t5IeMP3m+ J/HfEfBlTNpyvaRFZZPEK/0r18v9Mt+k/JXoS4N/84NHrW/nwD/ESdhTEvte /3/60+m/+PMl8k9yfpXQP1Pxpzx/d+LhGPHhTXxOJH4WEE/7lPicpsTnSSU+ p/+H+JyDvCDk9yM+C1K/6j3NGp8yn7aQXwPJt+XkXwXycR75We+/5PvD/5Lv cv8E5K1F/nn0XUd/qSdZ813yU376g8LtBH+lwGf1qR954eejCn/u+3/kT7n+ GPvrIs8W+eWopwvaC/1N7LPyp+T7F/B/GPVgEPXhKfViQYKoH92QPwN/+HN+ Mt62KvVonlKPyrO/I/K2Ir8L+vzRf0GpR7J+5qa/sqF/GUS9NVF/ZyJvKPav 4LwsiK9L5MNe8jeFb2fmG7G+HvsjkPcY+d/RNw/9m4ys9V32I03oT6y8Rb/S nv5FnyH298fetpzPLuJpP/lmDT+sh1/ek7+bmZ/J+lzsH4a8W+Dri75v9EsO Sr8k+7ut9HuTe4r+7zrrA7BvCudh2UHEz37ivSb8YNVE8MkJ+NcPfhnD/FDW lyf+NiCvB/It8M849J9R+k/ZL1+lfz7O/C/60RD8bxAv7YjvO/CDFXz2Fr5r DD//w3dT5lexvhL745HXGvnO+O8f9L9Q+vn/Lfejbq0yv/aZPNr+vEurEe7L w1zkKH9feq1Opxw1L0eXS2j5JK73jegqR6pHr2se1qhaydWHrbKluqxqkbPK 8X4fXKpbeLR33HLZ4e6hDnEz7PIarh08UwZfyWd4FAn9+K5ljGOxyuPtTMUr aR+Xl+rwcVwDTTuWHJUUsLzxpAXtln616mYcrTCrW98yLY3FD3zNf563dxpX /Fyv2FWu2rvmtl4Dik0xnDwf5JzSL8qpUp44z2555mnef0K6B98dY/yzclGZ bbfKO/e/MffCrI8uxvSlQ4+dmDlJq7aoc6cGTfo7j8qzbHITLx/jxpEOpTLa z9Ham7fxsps/23l5bvF7L9bL35tfE3JqIl/KKYveOPBIvcXAWQj8Emcsds1b IeyVdnnih2n4R/pheKjwW6GWwp/Sb/vxcz/8L/1seV2cSyFNnJc8F1st6/nJ Uc6/iRdypnGuaUEVk8t4vnKpHyxGr4N5l7zvmtswy/GoYfKDfMbReqM1xwW2 WtUVsZdtEmy0Eus7/26Sr7WR70D0qXFl2hsrRnzVCy/Jr52NcvppU2e49jDz cK1GjoFGvbQvdefWDda6XG88v3HLPYZzJ8fsu4IXakWD576YvWiDZjH69oj+ EWuMOtPDFp3adkTTgx3W62O2G5X4zsX8CNY/cxP7yyHPEvn70dcG/UXXCjzf wNcdvJ7gd6gv7InDvnDs3YP93Rh/4x9diXvp/4fE/bcS4nwGIW8q8rqk9E1b ea6qlvhSjIET2o1J+drGKH51T+PGTs2Ns71zLxhfrp/W3nZF5ZN9R2rf35U8 p8/ZZHxKtj90x2eUcXxwxTktdgUa/UZkH99jXKgRkqmX3HIpRisRd7PzqeAQ 49xzv+gCvfdoFd/ZTHfuFqJZ5q6yt4TLMW3JBqcetk3CtK18P3gr5se+EOu/ XRD7w5CnI38h+myfCP1N0gSemlUFviZ9BN4G4LfyFfb4Y+dVxnPY/xF/jCR+ HVtm5QkZ353bizx4C2/0XS7OqTbntOqK0Dcc/80fcrbB/CkDtc5DxWh2rtDD 3hELjKU3187t/W6B0bZChXVhQaHGqODjyd6bDmr1B5fK6FYk0bA33ex1bfEd 7XnT048jpjw0HvwYYTOsR5zW7ULBZdf259Mvzx3z+c3OOGNAqaNVzxatpJ/P 3/F4h/o3jIF8P2V+FOsnsr8F8gpI+YOEvpdBQv/M8gLP4FsCnwbeGeDPzlgI fz7F3rnYfwV/jIIfvrfPyquSPw7CM3MrCX6xPCjiP2OdiP/xnGNDD3GOfcDj Dp70XtOtyvfeoJXtIcYJ72Jfh094YRwrl+Lu57XRqP11l9MQ8wL6y7oH/0xf nawtmpuUUahyd9217LubC9Ib6P0PDRqyyGmmPvF++605H7jrFpVKB6TVCdRT i/10HjS//99vX+blerl/MfI+Ib8j+laVEfoXgOd8T4EvDbxjwb8GezzJq33Y 60j+j8YfX/HPyxVZ65Dk5y/lBI/vgr+7Rgpesf5H8MriRyI/8pAf2TjnbJzz yhICbyfpv7lvjVFnSumfGWv/yJ3S6O4E3fHz4buZfiP0+ltuLuldfb/ud35r zrk71uvOrTNDE/0v6i6Hq7eK6HdUL9S+Vdmd1e7pw0aMeLHLLurvt5yX6yex X8pzQH5d9KWi/xLjFPCdA6/E3wB7mmHfFewNChP2j8Uf8finSvmsdVvWvx7U Sfsioj7GvRN8PQ2+nj9c8I75UME7Tw2RP49k/tQTcZCNOLDDnjrY89o+8Vwe r6N/x+S6rztm0x7q5Ve8fVW36j291Olc+/ZXf6ubD8njN73xC31x65lVXyam 60GXnu/d8iT177ecl+vlfilP1SP92Qg8NcHnAl4T+H9iz9Ahwr4c8Kwf9n/H H/2KCv/sVvoc2V/M/C36kCu5Rf/RlTqYcE3UwfXw+UT4/Pl3wUvXdMFLncmv BeSXjJMGxIlqb/brFpd2/JP2d3TQE0xzUlL1TXMr79xY6J3+PXxWvZlbE/XB pQoOf/cy9e+3nJfr5f5sjOr5qHG/ROGTevBqaXh2P/ZFYG9h+oD1+MOS/uzs 76x9oezfounzvG6L/q4e/cVg+osA6uhU6upX+L4/fD8Z3uoHbzVR8k+NI9Uf PkfLXtwRee3vODzD5dHHulv0m175Cy9pH/X3W12n+l+Na5UvvMDnB96R4K/k L+zphX0LsXc39mv4o8o94Z/zSh8t++NSR0UffYm+eg59WxP6tgf0Hxdzif6j s4Woo4Opo6+VejBU4TU1P9U4k/4ahr+Spq048Da9v/6Q8RGj6l81blU+UHlW 4nsF3kESP31BBvZtx94G2N8Zf2zEPy+Ue4ccqy0T/t2XV6ybhf/7IMc6TZzP IPTM4fyGgmMK55sfnE2UeqHynpq/Mr6G4ifpL9V/alyq+a7yqFqfpB9lPHqC /yD5tQb7YmUfK+3HH4fx42Xlnibjsjb5/vm+iNtq8MEl4ro3fLH/mYj7M/Dj MPKiK3zTV/YvSh1W64nKi2p+q3Gq+lvdJ+Wp9Ufql/woeacdeLuC3w1+/PJU 2JeMvZ7Yfxl/eDwQ/smt3GslT66g/sRTZz5Tn15RZxKo19Pg4Vz0ux+oM6vq Ze0L7ZT+Rq3Tar1ReVPNfzWO1fNQ5Up9Ur8TeCS+nOC9Qp1phT0m7BtIve5M nWnFfbMRdSZDeQeQdbsk7wCfiom67sy99CZ1/zT3q1DuW4n0W9bcU46XFf2Y DX3FTaVvrKn0P/WVOq7WI5VXVX5Q41w9L9lv1WJ8Ch4r8I3hftAB/IW5dyVj X3fus8nYPxZ/tOTdZI7ybiL7yOv05zfpM9vSvw87KvrQIHmfoU9dRP//spzo Y19wPxhFn7uUMU36E/yyT16o9EeSDySPSZ5V64OcV/lDyrNHflP0PUL/OPD4 MXqAtxJ9eDfsccI+L+y9vVfYXxl/XJPvZ8o7k7zXuPPO1JB3pxK8g8znXuTM fX4/96bG3EePc69awpjCvWsM+D5biXN35NwrkU/R5FN3eKq30j/1gf9lXe3N t6wPvVjfhf1/4Bdv5Jujb69V1nvLFPx3DLxRjPOwpxbvF+Oxdx/2z8UfE/FP svIuJ+/Z7Xi/WM49vEBO8b5xlnv6B94/CnOPt2Xci/556B/BubbmXF3Il4nk S0V4aDI8dJx61eOJ4Pfz9AHOOUXdLE5/lZc6Wor5LdQDg/09kfdW3kvQ9xb+ qQ+eSeArBl5/8Et7KjJewN5N2G+GP1bjH015x5TvPvN4TwvlXSia97Yqh8S7 UQXGQORPRv4Czm0v56aRDy+3i3xYBc88gWfqwN8N4O/Y86IuFl0j6mL1dNFv ONJvVN4o+rjyfJem/1pHHS1IXX1GPbxNPbyEPgf0LwsVeHzBtwm8Q2SeYc9t 7KuIvXJ8hj/u458tyruvfIe04523Mu/AFRmfsP8K+2N4hxvIufgT75OJdwt4 5Co8shR+fgE/l6XufacveNVR9BM10kQ/cY0+7Zm56NNm0P9Ooq/ty/yqJLE+ P/1ILPKe02cMR19X9F8GT33weYC3K/gDsScbcXcEe+Owvy3+aMrooryTq+/j jZT57Yrf1Xf5zwpP7FT4d5lS1y4r/cLaX1n7sKhlWfvbmkez3hvMl2W9j736 lfWeu0R5P2ir/J8Sqbx3BSr/z7RR3mdnK+/erf/D/wr8j3SM/5VO8D9TOP87 neR/qAj+l4rgf6pI/reK5H+sKP7XiuJ/rr/fcl6ul/ulPClf6pP6JR4VX3yD Gt3rPrbTLleb4tR0czfj6voew4N++Greu3xyjWgaYHxr9Gxni6HHtd+PvAdP fHTHSPA6dOBxVDbTlUIPJxWb+MGYctLD7lfpHHrAlWFl/MoV+Fd/L77PMx/N egf2t3YU8vog/8IGoa9JdaHfv6HAo/pvAfjmeQ/vM6LLeK3t2uodi8euNhwK FbozzuyQ9v3KoD9bf90zPn189Ta4zxntaYrfkoUWpXTXgev8rgQU0dOXevz6 5mhuarXvhWXztCKm4YvF9xHm97C+1zuxv/01IS+1oJBfeZ3Qdxf9pcGrnq8j 9nwF37i9L6u65jmutRjoNnCU3w1j1aifVyad/KR173Qs/48JFUztn/QLH5Ov hSlsa9smGU3qmcp73IndbuuqL6184+jZb930073Ety/z1Vk/y03sf+It5DVG /sh9Ql8P8L4Cjxp/K3cK/1fGPocBYv+B8kXWBJRK1TK9q33sV7uE6dCW9Udr zqxn6rIl/9Gldm31W4cv3Ri8pat+18gI3pbSWd8TPnp6muGhO8SI7yVhYv7r ZrHecavY33a0kLcM+bnAa0J/I+JBzY8fDiJeBnIeLth7FHk/d47xOXHMRs/r +1WPHD3WNM1t8MtfzReaGlSd2eu56zS97/V1LzNahOgJFV47NOp0SPfi26qa mG/L+ksTxP7Mf4S8wch/ib5J6B9K/Kr52+uhiO81r0T8TOwozqcd9o9A/rZz 8512Ra02zZsWk24Xvl/fa1+x4J435/WgHLNH2547qz9a8urtrdsR+n2+jzB/ kPUn2b8ReeuRfw99ZugPAI/KLz7k47WXIt7fPhbxlH2TOK+m+OPAVKHPaW+T FeOqX9UbnK/v7/oj2nS77aAK9conmfp/ft5wePojUwrf45hvy3oP8P71L/FQ jvjdQr4dBY/Kf6XgDxfyc+cWEf8DiK/p1cX5rcA/e2OF/tbbD+VpsjbRdK/K yUuFX5zWl6YMra3tv62PtRXfRZk/xvqr7N9CPAxCfmnybT76Z4JH5Wd7+C8R fgknX3uSH12Jt5KcZ4F2wl/O4HH9nmCfzT9O33pmz5nzAw7rLnznZd6c9ePZ 3wl5E5BfEr7ov0zonwketX50uSr4ucp+wX/v4ZcO5K9LRZEfbxaL+LPjfNfh vwDweS1bPscrepdpKd+7mJfr/xC/2ZD3+ISQH4++duivDh61vl0H//flwp72 2Dc2Wtg7Gvu/mwl/2OGfr5y3Pf5bBr72fJfAnxeJ1x74syPymiPfBX0VVgj9 lxR/yvN/UFDEQyXioxvx2YP4eU58hhBfm4m3KsRfLHiH478W4HNgviD5tJ39 fYlPA/59jr6UAUK/jRKfMp+2kV86+VaB/Esh333Iz1Ty/esekb8z0G+Gf0dx vnX5rsZ8UfK9Bvm+AXn+5HsH9B1Gf4KS75KfKtEfRKYJ/mpCfTtH/dkC3wXD fz3QF4R/GnGek4k/L76XM2/N+vXsPy35HvlT0VcB/U0fZeVPyffV4H9f6sFM 6sNB6sXFXaJ+vED+MvxRnvPrTrylUY8a8i3PtyHrT7G/PvWoEvLno68m+vMp 9UjWT2vqaU36o9PUd+cKov7G+gh58dhfhvpejPhafkrkwxTy9yP50YD5fJzv HfaPAF9J5LtS3wehf4NS32U/so/+ZDT9yg/6pTnsb4G9KZyPjKck4n80+RoO v1yAfy8w/4P6Np/9u5H3E39Up18qhf7DSr8k+ztr+r1SPqL/+0x/dxv7kq+K 8zj+XsTPQ+Ldj/ycvFLwyUD4byF8PY/5+qyPThf7h3G+FZHfB3wf6T9HKP2n 7Je96J/7MD8Ae47g/xj6qSDi+wH5mAmfZY8QfJcHfm4P/6Uxv5j1ndhfk/ir hfww9Fmi31vp5/+33I+4zx0PcGp7sY6NjbacUf5eKmeOTv4+umFVZsOmoCfN De6FJx4EmTISMvpokyb9GV+2zWCN+2N4o01fk19OnG6svO3fOrbSLHnPPHkm 8f7pfTeDteobe28pliNE3kcjmh8p6va5Y6wx7/7Wz7drnJT31shix070fBZ2 RvtWdsf4QY/eyvttpP3ZnsFPin/Tdh6+V/xqUrK8B0dtPdQ4R8fJUUbx0688 B39/Je/LUektti73fpNsHHySnqPkv/KBe3WUY3Px+weTWC9/z75byElAvpRj i94T4JF6XY4KnKUSBH6J8zl2zdkk7JV2peMHX/wj/eCyWfitr5/wp/Tb6mDh 5+n4X/o5ey5xLrbO4rzkuVRzznp+cpTzT0sLOZk5xP7J4eF6wOy+2kPGoEe7 71WpNdXQai0p+m7dLGP6Gc9Hibs3aAlFLRptGbJOs9w0PcPbL8Iw/+Y3+NLk GGNXcK1zg7sd1YJdqvn0L/JA+1za06GjnsPUYskJ71Gt8upelau9ynGnrOn/ UOeWUVk+Udu3LSpigYKJATYWGMR5KhiIioqtoIiF3YWBrdiF2IKtWIiggFyX iaCgGCAgBgZgoGIi1nuvZ37jWpzv+1/P+/X+NOu8ZmbvY+/Z+9h75uoat6N6 3+R85UGCr1HuWCO15s1T6zY/LKV3nR47uruhhRoRUvTW1pOV9J+mie+BcWJ+ M+vd2W+KPGPkn0Wft73QH7xL4KmUJ/B1AO818E+9Kuw501TYV+mJsHfSBWF/ F0YD/NtfE/fS/znE/Rby4An+uoj/atRxXTqp6W5lRG0x+v44mVwp6KLu4LmX qTsWhukqfZwWOS/lnlK2t9OrHlFPlbXlAqwyypbX1zdyManQ4oXuXtKn+K2V CusvVCx3PmhxHb3Hvrspy1a1UuvpF1YwOmemr/B60N+gYDN17IzL0dWXVFU7 PjXu16iFpTp0RvlJhY3qqYYZ4vvyNDF/8K1Yv4n9k5C3FvlTkoW+CoZC/wPw /HYT+GzBuwT8i/KFPTuw8y6jKf68h3+nEr++swvyhIzvGvdEHgyFNwIrinNq xTk9CBX6euC/ee5ZRi//JClnPMRo39c90s8hX5fl5lt93oxfurImQ1wSppnr 2yY/dTsbaq5+7Tnms4dpT/2Yffsfdonoog5/PLTatXHu+pvVc9b8MWijDu5p Fvn1pbs668OMe2dSu+kNncqOXGwxTc2a5bs1631f/XtH8f36vZjfxfrt7M9K F/JskL8ffQeThH47Y4Enpq/Atxi8x8DvxTgPf7rj313Yv4y4HQg/1NLwquSP AfBMTqrglwzyM2mXiP9kzvHle3GOTcETBp7MGj/L2evLq/pqYvS6XGnLmnlD 9MZBgzrFzLLQ+z+Y2GKc6yC92a4/blkhXvrDhVf36lBqhTr68NX1Jraq3id+ aY0efgHqi+EP7n9/uUjNM5z7+/qQIPWTu8Fgrx5r1OplxfdJ5q+wvstRsf8h 8j7tFPKXoW/6PqF/HXh2gfMc41bwh2NPeeK0Zh9hb1Pyvz58cAP+Pby7YB2S /HwqWfD4ZvhbsRO8Mg5emVpa5McO8sOQczbgnHvtFXgtwPul+pLLu04M14+s JsaETCPj93W3qbMDyx0LmbVarTTZPE3tdUE9vO7BhorHTqunx6x2eR5+Te0w bE6POQnR6gazXtP1py+re91tzPeNuayu5duZ+SjWB7G/JvKmIb9kltB3Gf1D wDMXfH/2CLy1wO+APYnYNw571d3Cfl/88Qb/PEkuWLdl/ftRVdTJ0SGiPm71 E3w9HL7+WUHwzpgUwTuP94r8WUn+OBEHZZNFHNzcJ+z5jf+y2n9uv7yoTr3D GO7d5PK4I+fUItcHTF6WqFefNGvlucT/gd5wd9x9vzoX9K7VRw+IMkzXb3i9 cvfeRbf0Hfh2ZT6R9V+vif165En52YzG+LM1/jVNEvgeg9cT/BbwwfSHwr4F 8Kwn9henfjU8K/xzVNPnyP7CiT5k9xXRf4yOFXXQv46og890gs9/7hV8fqya 4KW58NKogyK/tpBff9eKOBlBnOzF3i3YmzneYnqTrSn6IhPEWGpptR+mF8P0 fxbfCA/Zm6hvve5e2Ln5CerP4cOCRs+5oLfn+xvzbVlfiP05yEtBvg59PdE/ kbjNBl+VIwLvW/DXgGfXUK/aU79q0Ad8xh929GebNX2h7N9uXhJ93pTjor+L pb+YRX9Rnzpq/UbUyZrUg+7wfV0vwVvz4a0vQ0X+pZF/lsRRLnF0C3+k449a o8+drWV+R/06SoxW3QMPpKadU1+NfHck2jtW7cx3edZZMUawPwF5Oci/uUvo i0C/K3ywSuKDZ4+A3xd79tI3HMTeqreF/Zb0Y/Xpo5tr+mjZH3fMEH10EH21 /VnRtznSx5WbKfqPyfQjE2aLOlqaujraQ9SD59SHYfBaJLz2ifwcSX5uIs5K E2f5+MsRf20YHN3z4D1/dRrjeMb6zH9gfRn2H0GelH8QfZJnN4HnG/iqgLcC +LtjTwvsq4i9btjfEH/8xT9tMwreO+SYiX+zO4p1B/D/buScnSnOp/0Toecp 59cSHC7E411ZZ4lHHXYoxONk7HxA/HxZK/zQhPiyxE/mjKvxXwu+VcZKrK+H Hx8jryfyi6BvJ/ptiMcs8JmBtwz4E7FnCfadw95h2B+IPxbhn1eXC97TZFyW Jt/LhYi4LQkfrCeu98GP97NF3CvwYxJ58fGA4JsJ5E1V+CiFvBoBX2WSd7/h s6fk5SLGHzKv8U8ScdeUb0P8N4L1kxg/IO8V8u+j7xr6vcDTE3xR8LnM66vY czZT2LcEe8OwfxD+cD4v/FNDc6+VPDmR+pNBnXlNvb5OnelO/eoID8v6thWe 3kD9i4bH86nXo+D5B9TPx9SBAMYf2C95LY+4cieu7LxEvrrxXWiJmH/E+p/s 34s8Ocr+oAb6d1GvQ8D3DLyduA8Ml/cD7NuMvd2pMzbU62bUmQeadwBZt014 ByjNu4An99I71P2J3K+SuG9tpN96Rt+QSb87hr7CnX4tnb4nmFH6syL2XSdu dMRNT/IxkHyMh+cC+F7K/GXWb2e/I/LuIv85+g4xfqCPnA++ZPDmg/809pSm 7/HE3lvYPxd/FMY/nTTvJrKPXEB/nkCfWYT+3Y0+1ID+Ppw+dRH9/9dKoo99 wv2gC33ubMad4E/nfhFAXBwiLmaTb7XIt2bwWAI8tpT68JLvxsx3Y/1g9s9G Xgnk70bfH/SPBc9UxpHgVenDbbHnCvYd4/7WmXvIe+538finj+adSd5rmnNf DJHvTtwnR3MvWsd9M+qDuDe14j5aup+4V8Vzv0qoLvD5gm9zoDj3z5x7Ke6F o8inX0GCp+R9uR38/4f7tBV19S7fxZlvxPoh+8V+Pfyyn3y9hL5y6K8NnvX4 LxG8GYx67LHmXngXe32xv5Cx8EfJR8I/yZp3OXnPHsX7RS3u4Vt533jIPT2R 948S3OObMZYbKvRPRf+HPuJcz3Oun8mXCvCBNzw0GB4Kgt/XvRT8bvpR1E2P x6JuNqQfMaQfaURdtc0S69ew/y73g6/cs+qj7wL6L4NnPnH3k3hYhv/aYE87 xonY64P92/GHDf5RNO+Y8t1nDu9pbrwLufPetph3o5GMLZHvifyqYeLcjnBu VuRD8g6RD4PLCp55Cc+chL9Hwt9fo0VdNLoj6uLxWaLf8KbfMKeP+8v74176 4xzuB3/Zf5F62Bb5cei7Ds99Iz9/gs8DvFuJu1D5/oh9LtjbmnEz/jiJf7Zr 3n3lO2Q13nmTeJ9/xLif/XvZ35Zzecf7Wgvi3Yp4Pw6PhMAjZXjHvQ8/y3fc VtQ9I/qJGjrRTxS+Jfq0lp1En2ZM/7uQ/jeXe1ZwqFj/54bYv4M+4xp9xnz0 7ac+3ANPYXg/Cv5aDX/VJM42YJ899tpg/zf8kcv4x7bgO7n2fbyM5h39qMbv ZTTx3OpBQZ4opuHfx5q69knTLySeLtiHzbpSsL+11NwbDDT3sbunC95zXTTv B94pBd9lfDTvXarmHXGE5n12oObd+7/+V4i26uJfY2C0tc3P8HPHyxm3rnY3 J296Yac2sY41jTZ87tp249wvb0efadTOzSg9pczZV+1GVDYf1LXfAtv6canq 5YG5tp3jhqXGJjja3dtWpHtb7+l2K/0OmNdcv/Tft5yX6+V+KU/Kl/qkfolH i6/0u6D7Q2vedRg7M2jEycofoycUdzh1w6qC0sj7/uj7pxrpsvs28qk9p7dy Z7xqNaHnVN38Z01Tn6/dpbNu88y55Lm1upZBFy86ztmn7L7X7Fu1P0cUS74j Wov5/qw/x/5V/YS8Zcg3LSH0xaF/Jni0/nNhvnqS03wXIyNlVZDTtC0tm+tS 14yf53fAWclxK5nS6eE0Xdl4+yM3qrgrl+fk1cmNCFUa9aje8MqWU0q9avZm jY4e1KXnDIlfUvW0zr+q+DZgPoL1dW6K/Wv7CHlV1gr5pvuFvnD0B4NHe75H 8N8j8DU26nMzy6a3Umzh2FF3/47TJQROVXeabFSO5Ry4lfctQvc00uZTU+en uvAbfzo8XXdTt/ld56sndr1SrmSWCey77KNygO9azB9h/UL2zwwS8oYiPxl9 7cBrhn+18Td8jPC/B/4rtkDsf1Cv0KstN5cq16vZJBRqdlZXv1vY81cVbum+ LTf1e1g9U7EIrdxsa85f5f6e1od/FKmifi/y81JgQh31E98K85VXiPXe7B9W XcgrayHkFwVvGvrrEQ/a/HAnXgI4j6rYuwt5no1/NjHofVnJi/zsvdCkhL7U q8CVnzo3UN1tggd7jZ2gGrQwrVCk7mr1xGDTyyVXbfn3PZR5e9Yns390EyFv O/I3oO82+s+CR5u/zYhvoxgRP1nvxPnMwX5v5L8tP/P1PuOOakjbP11LzN6i zt5Vp7JxZrTq2mKLMrHDPdV6/If+CwMfqj34lvOhrM9m/zbkhSO/JvHgeV3o 7wEeLb9UIR8difd5xNPfZeK8bPDHafQ5nI2Z7xJ6S7WOeef+3TxTDWjWsMjF H+/VlTYXTn66/eHft5xXWH+W/XbIu0f8BKBvD/qdwPP/4j8bwR+Lu4v8zL8u 4t+a+BrD+Un/tEK/VZnYizcz36uTJ3/+m5mdoZqEFR8Qf+vhv285L/HOYf9w 5FVAvl+M0HcU/W3gMy0/z4DvilUXfLKbfA0mH2S8yfOU/pJ4mgbHuWzvF6Ye DRv/q+r2Lf++5bxcL+OjJPIuI/8w+vbAb6PAo60fL+Hn/u8F/2XDL9/I35Pk RyviT55vZfx3GHz+bad3aZPTTi/xSv+uYr2MX5lvP5Afj74E+PcUeLT1bR/4 a+LPC9h3/P+nP5v8hz+naPwp95dAnj/yx6HPAv2tNf6U5/+U+BxLfFQiXspp 4nOWJj6b/l/is6kmPmV8D0NeW+R/RN9X9G/XxKfMJ4X8mke+7SX/VpKPjcjP M/+XfF/xH/nuoMn3Dy+FvBTk/0TfHfQHavJd8tNu+KrxLcFfHvDZNxfBbyfh uxwNf0r/9vgP/pTzcn0u+2ORF4f8ZejLpn+4ouFPyffb4X899WAE9eEo9aIO 9eMt8s3wrzw/mb/B5If8HsF8B9ZHsz+f+uaL/EHoO4n+FZp6JOtnQ+ppYfqX O9R3J+rvQOS1pH4kcl61zor4GkE+pJG/QXyfYX4F61Px30pZL5HvQX1fiP5T mvou+xFj+hMn+pXj9C/r2T8ce/dzPheIp97E/w3yNRZ+kf3TAOZ9WO/L/jHI m4D8a+jrhv46mn5J9nfX6Pd+0P8ZsH409u3lPNKJ39PEu003kZ9JNQSfdP4g +M8SfvnD/DTW3yb+QpHnhfz26GuWLPQ/1/Sfsl+eTv98j/lX9KPn8P9i4uUa 8e1OPm6Ez/Lguzj4eQTfGcw3Yv159m9F3nrkV8N/Et8qTT//v+V+VDq70+bt nSfZWH42Nni09JKDFaP8fXqrk/s6XUmN9ppp5DDi25Po86dPDPO2DGn94Fa7 O/U+fHM4Pme1vvnuQorFlv2Daky91cZ7wM1qJ1yr6B4l7Hx7cIOZ7vLzz4+H NLrUtuWDrb/2PmihhJt6Wpcv6qic9p42xt9zXbtGb1ILnd45XGfsdevVmjt9 dD6W1qZjD9jYTu9a436RRkOVsX1Nnh8LX6kreXlWs5gWUbZOiY1rF/+2WfE/ uN50yYQFul8m5V26Bta0K5cX57rvfD/dh8MBzXv2Xa7k74tdcKq2p92I0Sar T3VcoOu2dfnSJ603KjmlF/duN26R3fpR4vcY1svfE78JOf2QL+XYoNcVPFJv EjjvDRf4Jc6l2NXHTNgr7VqPHxrcFv6Rfqg5UPjNYa7wp/TbpHjh5zz8L/1s Zi3OZQ3nJc8lQHN+cpTzFZAzkXPdfdwvqlOzPIfrjAOSH39ZMcNEdzi3S5HA p2a66NdjfXY/sFEGb7vUpGMxa2VPWvKQip/76lYkvNl/+/Vg3Rtnu8Qgn+5K 1hr/1j9HzFJmr7/veOXqPl21v6OvjPtyQLFYVt23zeNw3cg1+sAxZbcpKaPn xv8oekxZ0CVn8irHQ7rOJhV8irpdVh4XvteuT8szOju+pzBfY4xYX4H9H5YK eUWQ3wN959Af6yrwLL8t8H0F70Hwe70R9gR8EvbFYG+PYGG/OWM5/PtUE/fS /0+J+wjy4DP+moi8yP4l8zZUbKOMZjSP3/EqfuIAXcILa6sh+3vrCh1s1CDv 4iTF0cjg9KOfc5W45akWB2ce1z2ZdWTxICNfXdcVKSY1xu/WTVzjGTtlsE63 spRz96uGicr8qht9ytQJ091ffm7PzzNhSlxIdnFzXZgS7bLO1OvvFaVRTMsH jXwuKd26ie+5zG9YIdYPYf9q5Lkh33m50Pd8ptBvvkLgaVNO4DsN3j/gv4c9 NgOEfb0Z47D/EP51Jn57zS3IEzK+68ITC+GNeH9xTiac03j0FUVfg9Yx85xK TFMuMU64PP7wgq3+uo82b63f2wfoUmyG2X+yj9K1KJv849XqKGVa4uVS3Zu8 1o0fEzRvtd8Lpf2wU2afnD/pJlt07pFunqQ897tiuE0trwZ1bT3NpViGTv/S aINpuIWabrl4t0O/bN0lvg8zn8f6sux/O1TI64r8Duh7Zyj0VwTPi9YCXzh4 C7UpaIf0523sXYL9vYnbavBDuoZXJX8o8MzN+4JfuhL/G4h/c87x8X5xjlvB Ewye++2Mz96YFqwcayPG5k/zqmze8lV3Nuhiz6y/EbqqU+46zjI2UO3Krtnw zCFFN61UUNN3Sn810mT4zvC4luqBGZf2l01aqN7wmtA//Hw/tUa7KcpK703q bL8Lb5a3Hv7v+zrzh1gv989AXm3ke6PvXqDQ3xs8PuCsbCvGB+D/ij0didMZ 2JuG/XH4YwD8u9asYB2S/GwAj3eFv4vCKzPhlYYzRH48IF87cs7PrMU5T9on 8FYEb9a5ir6/u5moncLEWMMvqWvkqBnqp20NJ4fUH6fuLvZk6rc5wWr4vkdb J5feqZaumzH3xKE4teyV2IazNoSqF87WeFS8TbL69VTe0KUTo/59GzIv18v9 e5CXi/w66LNHf2nGjuDzBG88+OdgT13yvxv2bu4l7K+LP9bjn6bDC9ZtWf9y +4g6OamLqI83/wi+LgVfR64WvJO4UvBOA03+pJcScfBssoiDN9hTG3vm1ho7 1WJj6L/xZlq1Ie6d09W8adM7V7dOVl37jXiYYfpO9b/9NXGl9SvVpYXD1RLX PqgXRtgMGpOU/e97G/Nyvdwv5Wn1SH++B48dcdrfUOC1AL8N9iyCxxvAs9L+ XPxxxFn4x0bT58j+YsMB0Yd8viP6j0mrRR0Mpw6+NRN8PgQ+n1ZP8FIUvBRL fk0hv85p4kRrb/hr48Ctm96rYYxrvU9fMXiRrU5ziLQvVSRHtSy/t5jP+TT1 hsUd39cZ2f++5bxcH6aRoz0fqT8MPDL/9eDNBP8x7FmGfaWpX8+x/xz+aER/ dv9Awb5Q9m+OR0SftzBf9Hfh9BeD6C+6nhV1cqisq/D9N/j+Nry1H94qQ/6V If9knPUgjrT+8LT9tXNOzm11GOPv/IseQyL2qvnHJ9YdvytK/cW3XCdHrf+1 cS3zX/KB5OE48OaD/xr2dMK+ctg7F/sP4o9pP4V/6h0p2EfL/ngBffQZ+uqy RUTfNpi+bRD9xzr6Edf6oo5ep47Opx5Upx581vCaNj+1cfYTf0n/BYaH29wx 9FL3MQYxynm5Xhu3Wj7Q8qysV3PAexn83+gLfmNfXex1wv6X9LHl8Y+b5t4h R0/8e5l1d/H/CORM5Hy2oSeb84sBx21NnS2jqRda3tPmr4xDGXe/NP6U/vut iUttvkv5Up/UL+uXxHcTvOHg34Q9a7HPEXubYf86/NEP/zQ4UvCeJuNyPvle 45eI22nwwRbi+gH8WJS4nw6f/CIvbsI3QeSN5COZ19819SRcw4tyHKrxjzbu tPms5cmemvqjretBmn5J9q0fscd1mbCvI/xojv35+GM//rHS3GslT9aj/hSF R99Tn27CswbUL294uCP17TY8bVVG1L+p8PhbTX+jrdPaeqPlTW3+a+O4p+Y8 tHKlPllnvoJnOvh+Uq+bcR+Yiz0B2DcLe6tzf20u75v4Z57mHUDW7QT6oXW8 CxymX1pK3XfmfndE3rfot8bRN5jQb9elryhPv1aLvqOGpv+R/v2uiZttmnzU 8py2fmjrspRvrtHbHDyVwFd1v8C7DfwVuXe9wr7f2BuE/Q/wxyv808Cr4LuJ 7CPn0J8vps88Rv++gD50JP29EX3qK/r/KPpYI+4Hrelz+zG2B78V+D8SF5OI C5n/e8k3yWOyXsn6IL/lfCDrZX8l+60c5A9EXwP0twOPA2MU95q74L+APZWw rwP2OmL/JvyxBP9M0LwzyXvNG+6Lg7n3DOI++Y17USb3zarcmyK5j37hXpXE 2AF8LbjPziVO53PuE8mnFuTTfXjqLTx1B/4/C//Ppa6e5lvWh1esv8H+m/DL fPjFA3230X8Ff0WAr+IVgbcmYwnu2fuwr81LYa/1I2H/FfyxC//M1LzLyXt2 D94vqnMPP8D7RiD39IG8f5zgHq9jrIr+BPTHca7yfaUp+eJOvrjBQ67wkCf8 fmYxfZuLqJt9u4q6WZz+yoA6eoa6Oop64Mv+tsirj/zcZUJfYfSXA0+KfKcA rzn472DPDcYh2HsM+8PwRxv846l5x5TvPuVmife0wbwLdeG97QvvRjmMZZDv jXwrzq36o4LvGT+5lz+CZ9bBMyr8XRz+bkAfkEJdnB0q+o1O9Bvb6ONa8O1J P9KG9XvYf4F6+Jn7qy/6fqJ/L/nZFXwNwCvjbjf2dMY+o4fC3iqMM/CHL/7p O6vgu698h/TnndeYd8qKjF7sn8p+b87lN+9rUcR7APHuC48sg0dS4GfVRfBz cepeJepebfqJ28Vv/p9+or6z6NPMvEWfVpT7wHv6tjP0cSfpP0az/xX32TT6 jNrou4F+yfu7wLcDvKHgtyLOgrBvHvbOxf62+KMZ40nNO7n2fTxAM2+j8bu5 Jp6naHhisIZ/TTR1zUXTLyTsL9iH5Wn621Wae0MHzX2sr+aea6J5Pyih+T9l nOa9q8ftgu+IfTXvs+1nFXz3Pvgf/yvwP9I5/lcK53+m8/zvdIH/oSL4XyqC /6ki+d8qkv+xovhfK4r/uf59y3m5Xu6X8qR8qU/ql3i0+NpsD0gxcW6pZB8e YmwwsbeuRUqvl03KTFf6RxZ5M2bEOp0u9Yxbz0fnlHX9jIcXv5Oo+3hoe7+G Eb90hdIeTfkWmaNrf35s5fDahdRYhyuDq6oGagu+Z6aK+QTWP2D/yTQhr1aU kO+SKvT5HhH6v4FH678v4Fs5pkKYte8UpXOZV7X6tNys67MmtnevOcGKbTW/ aitOJOkMm+se1vx6X7lccaF9jFVldVZ3U+e0QeXUjxc6H2/SyUB/pmSP70GG FfRWfDdnPor1EexvUl3IS0W+aij0/UH/IfBqz9cD/40En0+P6bUiL4Yqx5p8 GtEg/rYuY+ThVRXrfVHiOj96dqd2VX1Jp8nZpzPb621qbWyx8UQT/UrXX3kN VnZRE429ds172lsN4HtJTTGf6SjW/2b/61FC3oimQv52V6HvJ/ob4l9t/LXl fOtjXx/wNS38MLmHc6Zyp06T5Hd/jPVTS96I2Xe4gX6Lb9jTNZ6d1dz5XsWC uvZSred93Vb8VW91xKladkGn3NUcvosuEPNhrPdkf3hdIW8/8ktZCX156J9K PGjz4wPxN5fzLYW9rZHXMmN8SNKRhurAJvVCXxSfpK9t1NfiZdxyfaBlxRlb fs1XR611WeJe+bDap+6ZRXs+n1Tn8+1UX8xnlRXrvdn/6bmQ1wv5aejLQP8G 4lebv6HEd4UWIn4SOZ/PJYT9TZCfMezXkq3tN+vrON5PKukXrKb4fqg8YUuM arb+d2TldVfVwR1zXDfviFA78h3P/DzW57B/PPIG4F+LLkJfGPH7FDxafrlA Pk4n3l8ST/kLxXn9xR+ZHdDXbEoZr9nx6tlZziNXlNPpK32t1OD14cf6j+PS jxxY/lhfi28/5n+z3gm8z5AXSzxIfdHojwePlv+GpAj+2NRN5GeNGiL+fxN/ gQ3E+UXgn53oLxs3taR1szR9k83T4m75XFbLxQR72Xe+r67g+2msmK/L+nvs 30A87EV+GPpmof8seLT8vAq++xYh+OQy+RrsI/JhDfEWuU6cZz/8ZQuehWbr EoZ1jlUvp+suvp9yRl3DdwfmB7G+NPEwFXlNyLcD6KuK/n7g0daPTPh5DfyX Db88IX83kR/HnUT8PeN8K+K/I+DbX3ipdfeuB/RRfLdg/gzrNxO/nsgrfFrI T0dfH/TfAY+2vjmD3w9+3o19M7F3Nfa/wJ/j8M9Y/DUF/70CXwDfDsw3Zr0J /hyAvO2c1wz0TcWfXTX+lOf/lXj4QXyEEy9l4D9LTXx2I95ciM9i4Pl7XfhP 5bsi8ztYL/O/HfGZQXyuox4YUb9mpBaMT5lPD8ivYPLtLfl3gHz8Rn6WJl+T yd+16G+Cv5I4315865l/y/p27G8M/55AviH17Qn6yx0umO+Sn67DVwvgrzz4 0wl+GwzffYP/zNHnj38yiYeXxK8B5xvNfHPWP2T/SOQdgZ+rwp/L4O/nGv6U fD8K/r9LPdhCfZhGvfChfixCfi7+fUg9Gkm8NSM/BvHtwfmmsX40+x2Qtwr5 G9FXjP5ksqYeyfq5nvpuRX3VU98tqb/2yDuGf3dxXkvmifgqRj4cOynytxn5 F0T8DWF9LP6bjrySRYT8GfQjjdcK/Y019V32Iy/pl2LpV6rRv7jJfgZ7S3A+ L4jfH+RbNPl6Gn6Zyrc1+ZHA+hbsP4m8fOT3R5+L4f93vyT7uy70e4fp/06C dxX+fUo8VCJ+zxLvRi4iP49FCj75Df/thN92wB9LWL+C+HuLvPr47xP66noL /VM1/afsl6/RP3dmPhn/ficeZhMv54lvPfwwAD7bAN+dhp+b8F0Xfgli/Vf2 r0DedM63HP47j/4MTT//v+V+xH0uLP7G0PrZgbWVt4zy9+Dtj4PeF7LX5ca1 b93wWnsd98LwXPORV5aPHKS0bXv55P7xXvL+eH6+/kCndo4+ulMpURPaNpsv 75kXvjnVLzmunr9SZdjOPsE5B+V9NKLmswxLp8TLuirXin/qO+e8vLdGXv0w 7Wv92Biltd2U2Jl7Xsv7baRFh+DL+1d/UUztXzVtWvqJvAdHeR83bL969nWd 38BSf5a2yJL35aj8WmNqVLuYocv/NrlWg/q58l4dtZrfe7Fe/j7gmJBzyU7I l3J+tBd6q4FH6o35KHCuAr/EeQa7inoKe6VdOzsKP7imCv9IP0RfEn5r0k74 U/rtdW3hZ++bwv/Sz0k7xLlsjxXnJc/FL7bg+clRzidxjhGcq+u0I+eHHBms ODN6lryUnFFhjm5DdkpEn6YLdBcPbo9u/2W7UiE0sV/3cdsU6wG1tru+Cdd1 n+kx3LnFJd2siX4TO7y/oUyp+vHNgB/JSuvkQ1dyzAvpn7lnG84cUlwNmRmz zW2Bqb7lrtVvfa2+K73Orq9bKbm0+mN+3M5jw0vox7waYOD1pbZqletxfs+l 8np3vp8y78P6+J1ivyfyYpA/BH3X0L96ssBjOEvgewbeveBPPyTsafxG2FfL QNhbdbqwvzPjY/zre7Ng3Ev/OxH3f8mD8/hrIv6bH7rc1X32TmUUY9FGSV1G uUTprt0beU4xPqe7O7Tx24PL7itNb1Yt8SD2iTJiZ3Yf215l9HOn9T/gPSxL 965t/YC83Fxdl7Hm+aNa1tb/DOtr3Tu+hVqkcCnHO+0r68OHNa72eq+xajBj 483Odc1U16ZRjyMbWKizB56OtXSuo+bxvXG6mL/tKdbHFBL7XyCvNfLHtRb6 jqO/2C6B58gtgW/RMIG30X2B37GxsCfhnLBvCmNp/PnxtfBH4TrCPyXaFeQJ Gd8j4YlN8EbOWXFOD4i7nfgrv6HQt7+6aeduWQ+UJ4x+e1qYXl73XVd69/ol dWv91t1w8zVvHFRZv352y4QP26qrN9786bTHtLt+067RH/vP76TO2uy/+mql wfqvftNf1T5trUabXem0Pm+IWmGrwYPW1bvqPydU/xTdZ6pqFtW9bvfjbvo8 vo2Yr1pVrF/E/sLIm4j8OPRFoT+2t8Djt0fgK7VX4B1UQ+A/weiJPzvj323E 6QPi9gj8sCa1IK9K/ugIrz6CZ2eRnwrxv5U4O0DcTcFfx/Ffjy2N7zezrKhe 2izGyuMn7xg1Y5A+03hS2aQpDfVtn12M315lgP5b5ci+0/yG6/0apxpO7rBc vbovJOpG76b6If6J687uCVBX1n50r3PMItWu0/u3dROC1PZ/yhi4R69We/A9 k/lVrP/D/gPI+4L8tk+FviomQr8HeOpuFfh04P0FfgX/PiROWxO3cdj/Dn/c hH+TNXVI8vNUeLw2/B0MrxhNErySTH6MJV+3c87diTsj8P4dJ/Bm91p2eXot T/1hxvZJrZz/fvZXfZPMU+Y1XqOGHRj+dHTnC+qlTPXNj+un1R2mLikfN11T +36pYRx6Jlp1/rQresDky2rgGHvHzz0uq+58t2f+OOsj2H8NeWOQPwN9i9Af xuiGP59zvmXA/wZ7vmKftLc4vPoCf+zGPwGaui3r32tbUSe/UcdD4Gs3+NoQ 3jGD57zJn6fkzwHioClxVwh7PLFnfMueq/vkRqszGc8cH3F9UcNz6q3oVcfi nPVqxIQ2FfNGP9CXLb+4cSWnC/pvldyrLb/5SL/LsuyRa463/n3bMh/K+jT2 30LeKOQvYVyI/tLgaUWcfgJvLPhHYk8veLUt9g7Hflm/kugfqmv6HNlf3LEV fUga/Udx6qAjdVCBz9Pg88urBC892yR4aW2AyK+N5Ncg4uQjcbIFe49hr71b iZZOXin6joxtXg7vlJkbpl9f3LnFhqWJ+qlpKx5cKJ+gLojvYuuw+IJ+PN8+ zE9gfRv2t2N8ivxl6PuC/pXg2Q++IrsF3r/gz8MeWa9ssHcA9tvgjy/4J8e2 YF8o+zeDQaLP635C9HfeC0R/0TFU9BcnqaONqKvj4fv+8P1TeMsF3qpG/l0g //oRR3eIo8n44wr+KOb77OiTnNtq0kIxnvf6UmqycZi6p4H/6eoDY9UIvvOZ r8h6f/YPQ95N5H8sJ/SdRr8jeLw0POwI/hbY83SosK869rbB/qr44yX+OaLp o2V//Is+2sRc9M/t6ds20Ld50n90o/9woI6Wuy3q6GbqQW3qwVR4bS689pj8 NDYW+elEnHUkzg7jryP4KzwnvVupA/7qacbHjMeYP8763uz3RF5p5B9A3yj0 bwSPK/hswPuDPqAO9nS3EvbZYe9g7G+EPzpzv3ipuXfIcTr+rc26Evh/GHLu 0rcNRk9Tzq8wfozmfG3Aacr5+2LHYuKxDHZOJH6kH/OIsyj8tI8xBv+d4vs6 40fWj2D/VOTlwaMV0Dca/b3BI/uAveDN1fRTB4mTdsTjSOwvjz9O4Z/Dmnua jEsX7mk9g0XcToMPGhDXi+GLOPK6Mn2bO3mRskPwzQDyZhh8dIO8WgRfybxz gc9ekZfDGdPxz3z8s5a4W8L3c+Zbsv4CY1PkxSD/KvoOov8UeLqDz55+KYa+ dTH2hJPXp7B3F/ema/jjEf7Zq7nXSp6sQv35CY/GUp+84NlW1K9f8PBc6lse PJ1M/QuCx7MfiPqYC88Pon7mUgd2M/bEfunfTcTVT+LqCPlaijjewnwk6/ux X4+8A4yyXkejfxn1eif4foG3H/37buz5gn39sHcr9ufiD2PeH5w17wCybs+m H5pEXdfTL3lS96Pop77SF1yh37pL3yD7sTD6isf0a9PpOwYwTse+UOxLIm6C iZsu5OMQ8vEkPOfJd+fyBevHNPa/QN4s5I9EnwPjRvBcBl8S/W7ptwJ/PvZs xb4Z04W907E/D38k4p80zbuJ7COj6M9n02c+pH8PoQ+vQ38fS59ag/6/Cn1s KPcDe/rcQYzbZB8Mfkviwpm42E++/dwq8q0pPGYGj22iPpjzLeclf2xh/0zk VUG+FfrWo98WPHJMBG8c98Vi2HMf+2yxdyB9+HP8sR7/pA0r+M4k7zUR3K9t uPdYcJ8cxL3oDPdrE+5NH7lXn+NedZRxDvhm4t/bxKmM22fk00Tyad9GwVMv 4amL8H8M/D+SunqT783Mn2F94C6xPx1+iUP+E/RFEHdP8Fc4+Dpwv+7HOIb7 9QLsG8n9+g/2n8MfO/CPr+ZdTt6z43jvceQevpX3jf7c0y15/7jKO88dxvbo 743+IpxrirxfkS8mbUS+jIOHDsBD2fS/K4YIfh9D3dzVRNTNX5GiH6lJHX29 Rczfpt45Uh92IK8b8nfZCH3l5gj9aeBpDL5I8OrBX533ibKMx7H3JfYX4T0t GP8017xjyncfC97TfHnXjObd8SjvZoGMebybqcj/QZyu5dxKkA9h8EEovOoC z1jB36vg79F/Df5PXfShL6g/U/Qbneg3NtHHqXzH0X/1oI72p642Rl4F5Ete Ww7P9SQ/m4LvI3gXat51OuC/5ryXuTBW5/3xMv6Zo3n3le+QbrzzzuOdcilj PP7cyP6FxGkHzmU28T6KeE+DR9bCI8fgZ1/4+SJ1L4O+IGWH6CeqhYh+Yjl9 WkXuA/Xof6Nl/8s77ife1X3oR0KQF4j8UrlCX6lqQv9m8GSC7xZ434J/M/bE YF8x3hnH4z89/jjHuE/zTq59H3fTzFtq/B7WtmA8V9TwxBUN/3bX1LXymn6h jm3BPsx2UMH+9rvm3tBfcx+zsyt4z31jW/D94KnmXeae5r0rSPOO+EXzP06A 5t178n/8r7BhVftnm/IuWvsn2cYPvF2p9bS9V15suurYpkNaxdHl9nVtu2nS Hq9Fgxq161Fh4Kkx41+1C9bbpcV8nW97rv+ev53Mc21LhjQptGGjo92U0JI7 Szacbte9cKNS01yX/vuW83K93C/lSflSn9Qv8Wjx5d1/t+BOvScOtSsNHDs5 /Ff0hbEZrd6rtZTAJuaPkx3b6jyehFp2z/RUDANmpK75O183euKB3j2LHtW1 WVbD7px+uy40dsyWC0bByrmsuw1rep5TDvL9dqmY78P6i9vE/nTklWkq5N8d J/Rlo//oA4FH67+qzM+o3i9+YdNqyqGwrfP6pTnojjpvvvf7ZH9lZ6vDhd1u Ltb1Nv4QutxpgdIjuKNjkU5XlBOz69S92CFS2a1mrJz9OFS3tPTuXy/Ui7o6 fG9nvjfrL1UU+8tZC3mZyJ8bLvTlof8IeLTna4o9xVjf1qfc9ojankrVGiv7 1uwxV+d0se62QU6BynB703u21WJ0XX/GurUp/k73pkpO4JB9D3XjGt0ausHv szLd5OWjluG/lVl8L2PenPUt2H8LeVuQfwt98ejPAo82/qpxvir2eVcX+xd8 3Dlj3oTNym9PqyPmHS/r3j/0MDTIeqDb6NKw5Io9n5WhM0cOsHpWXC350Gvv 8ZSq6oQ9zX3tflmo7fmezvwN1g9MEfsnDRfywpFvAV55fvvBo82PcOKlPOfh g717kNfp06UhMw88UJbP33lzgXtl/cEmz0z2NTZS/bd673ZuOVH1rHLpxQ7H Napd/EOXoS5b1RF872bezEqsH8N++89CXhTyv6JvCPpNngo82vy1IL5jK4j4 SbQT59MG+8sjv/WLg2s+dLdV3zj1HxXUaKv6fMepzh9m69QnvbfnVh1+T/Xq UfNkp7CH/76fMv+e9eXZXw15oci/hr7y5YX+l/4Cj5ZfLMnHvOMi3osTTxld xXltair88RJ9B4Z1GeBjFK/+Wtqt3T7jTLVt/53h6XHvVcNQ706t93349/2b +UOsf8v+28hbSjyYoc+BfOsKHi3/bYM/1pGfHyuL+N9PfAVzfs/wj8T3aHHj 0CUX36v7g3XzX33LUM2u/zWNLpXy7zud+T+sl/4PRN4U5DuRb2vRfxU8Wn4+ Ct9dhU/6kK8vkkU+DCfe0jlP6a8D4CmWHRjW/3OYeuPB8ranpmz99y3xyvWP ZXwgT8qfjb6i7YX+FPBo60cu/FymjOC/M/DLGPLXgfzwJP7k+Zriv+vgS+1V buesM930MXxXZV6ul/H7L9+Qfwx9RujPBo+2vtWOE/hXY89W7IvAXi+NP9vg H+mvov/hT+nvdhp/DkXeQuTPQF8++svFFfSnPH8v4qEd8RFPfI7QxKfMX5kf aZr4NNXEp5yX8ZzB/n3Ic0V+VeJTQf9KTXzKfHIjv2zItybk3wTy0ZT8zCJf 9/9HvpfmfKW/5bxcL/msFPy7Avnu6BuG/qWafJf89A3+3Er97kh920n96Qnf 9YT/stEn81+e53DiT34/Yf41653Z74m8QOT3Qt9x9JcOKMifku8zqEeNqQeh 1IeD1Itb1CMf5D/BH7LeDNPUI1mfJP84Uo/6sT8ReeuRfw59jdD/5EnBeiTr Zzz19AX11Zx6+4P6OwV5adgfwHmtniHiy5l8qEP+Huf7PvOurE9g/wbkGecK +SPRV7Wr0F+hacH6LvuRK/QnEfQru+lftrP/JPaO43zsiKe35FsY+boXflnD t5z/mi/WO7Jfh7zlyA9F3w30p2v6JdnfpdLvtawh+j8f1jfGvmqcRwjx04d4 t54l8vNHB8Enow0F/4XCL2uZr8L6+uyX51sG+UfQZ4f+15r+U/bLJ+ifM5hf jT0Wst8mXqoR38PJx1Lwhx98VyRb8LMJ382Yb8j6F+TrK+TlEW8x6HuP/oua fv5/y/3Itqa5R7GXE23m7q58pmTJBIc9jPL3ASsXvj9TNCu6nmOt76+2v40e +aCc0ab3Z1oPWnbu5fyUYkr1naWbJNgYKY0bne13tcqtNkNbb7LxXmyhc8s3 /r3Zqb4u/0/4jGlv9W0/WVf9Vq5JB2V7mUNbZ1fprXRLfFvrfaF17QZGxN+4 2nqSrshFu0pJnUfo3g5R/L+429huem+6b+TjqYpD/NlWw+z9dXa5R71tUyNt 98Rujy9aNEgJyT/840ldP13QlRKGm+xr2tm71xzq3HaK7kPpgVmq9RbFLMm8 da+0YXaW7i3cyl5aq3tSb3/tGWt3Kza1VkXFWC+y6zpE/H6L9fL3CshZg3wp Zy96m4NH6l0JzsAogV/ifItd5QyFvdIuNxvhh+P4R/rhJ34rtEv4U/rtI36O xP/Sz285lyZ7xHnJc3HZU/D85Cjn8zsIOX3Zf3Th96fJmcWV04wdPgZvHXGt rq79uL+9V76or7u7uXaRP5M6Knfu2DsEzHJUcipVGFO6/AjdOau/ISndxuke Pxs0ZfmLKcrChx7flNVLleVFqynr7YN1g0w7jbO9EqLMz2p3xLz3NZ37m4Tl K9ofUJKH3rvTbGC44mt4p8+TY2d1H265t/D6naCc+zy3UVDhi7o7fE9h3nSY WG/Bfi/kuSDfFX3t0P83Q+DxbSbwqcYCr2WiwN9zi7DHYLywbx/2tvEV9pdi fIp/dmviXvrfnbgfwvnMw1/dkTfo7vyk4COdlEaM9wYN9bHoOlpX/GnRkIcr PXVdLfwmNJ7vq3TatCb6SzM/pdPug1Nnvw/XdTtRpdWxuZt17i3OhJ0cGKh7 eWy7U/Me8bpv7oWtxkx+rHg2ezzw47IrutLDnY7XPn1Z0QVGVKh4+JqS9iV6 a9Klu0qr2ac7XGt3W5n4VXzPZn4J67uxv4qHkJeO/JTmQt+hYKF/PXgKbRb4 KlgKvO3BP22wsCcO+74wHsT+Wvj3Bv5RdhXkCRnfN3+IPJhK/E8izopxTuef CH16/Lfo6bh6P+stVl4zHm02LtMt4IDubo8NuyfuOqLzilk92j74qq5dpU79 fUrGKtZ7GphUrPBdd6BtsVtHb+QqRg8W7Cj8uYg+W3/Ky6zRc+XE3nV/Ltwz UUdtr/pqfGKurnHuuaYblzVR/86oEmyS/OPftzfzSazfz/6k+0LeauT/3i30 va4o9MdfF3i2uwp8H8Dr8Ezg/4IdU/FnGfw7C/sT8UehNsI/QzS8KvnjB7x6 Gp7tRvw/Jl+fEGfz6olz7AWedPD4dk0skTc9WkntIsbKZUqNK7K4mD5k3qpf j63u6brkhE/K+PNHGVzCrELV9YX0Pac5FFo3ZKAauDN1SFJcS7Vm4JMK+cUX qaVuODtMmDhArVp0cfMHTzepzd3HfSi5wUutxndx5s1ZH8T+AcgbjXyP90Kf CfptwNMNnKVdxFiyucB/HXv2k1f9iNva5H8q/qgF/w40LFiHJD+3gsfXwd8p yYJX4uAVa/LDlfxYwjmf5JzDfATe/NICb7OV/cZ+XGekTlslxsGO+bOvLp2p Fn4YnZa/ZbzqMu9D5YdVTqiZHeLUQY92qiV735m7LTtO3TW30N5xH0PVgxbP Ljbtk6xGNTn/t/uTqH/fO5mX61+xvyvy/iYL+SPR1wf9E8BjiT87g3ci+L2w Zxv2nTsu7F3xXNi/B38YRQr/5EQWrNuy/r2/JerkpRxRH+vA183g63Hwzt6W gndmkD/lydew4iIO5r4TcfAFezyxx6rxiULFP4WqzRjTF16ru6B/ujrF98kT tx7J6g2LNzuiv79VAzoYJ65p9EqtGd0iMHvbB7VH00ef2uuz/33L+TjWT2a/ lCf1NGccjf6f4JlCXrQmbl+R/4uwxwH7orG3CPar+CNT+kfT58j+wo0+ZAL9 x/vXog7aUAet4fNb1IeRktfgpTPklyv5lUGcdCNOJmnsXelevnzu2Pf/xhVu /uW+p2arfuuiHSyy3qkrhte2m5iZpqYeeVXp0cPsf9+r5TzrV2nkSPnSv1L/ S/D0B5/kgxTwz8GeGtQrG+yVfUAZ+oJ9+Gekpi+U/Vsufd6bIaK/m09/kUU/ cok66Uqd9IDvI+F7E3irBry1Q5N/Mo5iiSOtP345pbS3cruj5jO2776xnm/i PvW2Zd3BW20vqirfcp0c5X4pTxvXWr6Q+AzBexP8i7Dnqqew7zv2tqS/2oM/ mngI/5iVKdhHy/7YzkL00UXoq4t/EX1bLn2bP/3HU/qR4TNFHW1KHbWlHphR DyLgtUPwmszPGuSnjLPlxFmixl8Bh7N8PrcfqW5j3MMo5++wXhu3NTR8IPVf BI/E1wK8zcHfHXu+Y99a7P2K/b/oY03xj7VFwXuHHD3x733WJeH/lvFCztAg cT4r0RPC+dmDo6qmzm7n/KUd24gPaaeMH+lHGV/ST/aMu/CfjM8OmrjU5ruW R2V9kvEo/VgRvA3B74893ti3Anv/4scE/HEL/4wrU/CeJuOyCPmeRNxegR+9 ieuvVoIvxhD3tvBJMnlxAb6pTt5IfjQgryQ/yrxeAZ8tJy9lfuZr/HNbE3c/ NfksR8mPsZr6I/P6BXiqge8QeKPAPwR7vIcJ+4rDj27Y/wR/fBoq/FNXc6+V PFmP+uMLj3aV9yt4VtavL9SZbdS3a/B0WeqfGzz+jfooeV5bp+Uo/Sl5zU8T V9p89dPw4ApNfZGjrNeyvypGv9UXfP3BW4j7wEnsqUyd+YS9s7F/LP44hH9c Ne8Asm7/on+M4V1gNvfSQ9T9vtzv5nDfMueeYkvfc5x+dzl9RRL9mgd9h+wf pT9lv6eNG20+Sp6T39r6oa3LUv5w9Lkz1qePdAXfS/D2Bn9j7HmCfUOwdz/2 ++KP2/inxkXNuwl9ZB3688f04evp3x3oQ8vR3/vQp26g/19CH3uYe4Ixfa4V 41TwHwS/7JO7EheyjzYj32SfbQqPRWnqg5yX+fmc/S7Iy0N+S+4zpdBvDh45 LgfvZvDPwp7l2FcKexXsX4c/svBPPc07k7zXLOa+2IJ7z3vuk/bci1py3zzM vakU99J63KtMGK3Alw6+i5x7e869E/lkTD7FwFM6eMpU9k/wf1vqahW+KzAf zvoI9l+CX0og3wx9m9G/BTyrwGcFXhvGetiTjn19sNcd+y3kuxD+idG8y8l7 tgnvF594p5DvR77c0zN4/+jGPb4/Ywf0l+L9ZDrnupJz7US+eJAvO+GhKHi2 Gvx+y0Pw+xvq5uTPom72px8xoo7uYj6IetCA/bOQNwn53dFXDv1LwLMOfPn4 yxn8ntgzgDETe6X9VfFHCd4pmmveMeW7zw3e01J4F7Lhve0G70bXGM8hfyTy R3JunpzbK94zSpAPM+CZA/CMfNeaBX8Pow+4SF3svF/0G9Xpt7zmiD5O9rGT 6UccWb+J/a2Qtx75C9FnjX5H8JQmX/uD1wP8U7AnAftisPcWo4I/svFPmubd V75DOvDO+5J3ygzG9uzPYn8W75IZxK0V8d6feJ8CjzyHR9bBz/nwc3/q3krq 3kT6iQ3DRT/RvKzo00oPFX1aG+4DxTzE9wP6uPX0H6vZPxB5lsi/hr7h6M/W 8L4reGuD/4d8LyfuMrDXEfu/4I/3jD007+Ta93EHzXyqxu9PdxaM58canjDS 8G8tTV1rp+kXvH8U7MOyNf1tgObe4Km5jwX+KHjPLax5P3gRVfBdxlzz3nVC 845YWfM+m6B59+74H/8r8D/SOf5XCud/pvP873SB/6Ei+F8qgv+pIvnfKpL/ saL4XyuK/7n+fct5uV7ul/KkfKlP6pd4tPhWHV2Zuv5OI8UvYV2F6TtcdHPX NypTZ/Uk5U/+/edp4St1G1+383jULlS5vWz+nqtXrusalCzbqsq5LzrvIfVP RW15qftp0HXBA5dvSvNBc/58qVBILVJKfI9mvgPrR7H/EvL0P4X85huEvnW3 hf588Gj9V4b5YqnWQVMbjFPyu/nc7Wi/XhfrEpN/5fVhZdvZx1bN69/XPbJP LPb3f/g9qkLzgeUuVVRnzSmm6+BXXJ2yreemw71K6Nf97dswalUZ/WC+3Zh/ wXor9h9DXuNuQr5dd6FvAfobgEd7viH47yT4VqTUiDMwClGqHPu+eozupi77 Rr2+LTp/UYz8MtIq7aqgt59/ycDI0VbfcN2xWR5BFvrlpQ+ZnXjuqKYXa+V6 oXd3dTffZsy3Zv2TVWJ/i1ghz+C4kP8DfbHgHYV/tfFXFf+vwX9Vwfd6gc3Z UQ1fKKEHDu7OTK6oN8+NjXsab6xPjay/91NbJ/XgraiTjkHOamO3ZbFrDvZR m/t/Wa4+91Rn8x3AvHeUWH/qk9h/HXlOC4X8PuhLQX9d8Gjz4zjxspnzyMF/ qchbkVK07r1bzVWrEO9H1f9668dnzNk2s/BSver42Nas8SJ1jMPqWk1uHFJf H2uescvtpLqM71HM27O+Jvt/IW/wQSF/Lf6tHyr0t3gj8GjzN5X49id+vnE+ w/HftzNCvqHJurbZRTboAwZEfVuoBqsj6x99Yv7uumr996z1rppX1fsbQoa0 qBOhtud7KPOmA8X6qew/grzzn4V8J/RZ2wn9rksFHi2/dCYfbxPvTsTTU853 Av7oA77IwJDFKxvcUqOi7XerbXV6w2Mjj66/lq4f8GFcM5OL6frnR8W3nU7M f2X9ffZ7IK8c8dARfeno7wQeLf+Ndxf8MW+uyM8E4t8kQcTXfs7PHf/cBd/c jEnFL45N1Q9c2WnGrxOX1CmPdzlcWnZPnc13E+btwTuf/UOR5x0v5O9CXxX0 m4BHy89u8F9Jf8EnTcjXQ+TDZOLt0x9xns74bw54nApvuPQ85YZ6p3D3y9cC zqgD+V7DvFzflHgYi7zHvYX8peiLhM+Kw7/a+tEVfjYu1O//8N8H+MWU/DU+ LvKjPPHnyvkuwn/B4Dttb/e757ZAfQzffsxXkfHAfgPkvdoq5HsUF/o6FRb6 g8GjrW8+4HcKEPZcxb6D2LsG++/iz574Zz/+6oH/UsE3jW8v5n8RryXwpw/y TvcS8n+jL3G70F+vdEF/yvM/Q33bTP1oQrwYED+hxJMn8aUjPpcTf0bg6Yf/ WvC9ifkE1rux/zDysm7Cv2uFPp/ZQv+8wQXjU+bTfPLLtKLItznk3zLycQn5 uZh8XU7+7ic/auFfY863G993wJfM+nD2T0OeKfI7oC+bfG+vyXfJTyHLBV8t cBD8NZ36uPaD4Lfm8PMdY8F/+9Hngn++EQ+tiL98vp2Y38v6svBnI+R5fRTy 7dBXGf3tlxfkT8n356hH/tQjQ+rDXerRBupHU+TPxB+9Ob+VxNtH6tF6vjsw b8v6yuy/jLwfyG+Mvmvof/i6YD2S9fM09dSJ/iWBeruT+vsVeV2wvxfnNYn4 +kE+NCZ/p5J/uXFiXp7vXOrbE+R5IL8f+j5R3z009V32I2XpT7rSr8TSv2xn f3HsdeZ8vGQ8Ef/GZUS+9oJfDPnOZN6Q9cbsb4K8m8hPQt9E9DfT9Euyv5tO v7eP/m8963vj30ucRy/i5y/xfpX8nAqfpBUR/FeM7/bMx7J+J/1DGPKKIt8M fa7or6DpP2W/XOGY6J8dmLfAHn/8H0m89Ca+h5OPBvBZLfjuAfz8Cz7OhF9q sP4Z/c5t5E1Gfj79ry3632v6+f8t9yPuc2F3N27qlXPcTGm6SYzy98TenScN GmWjW/Nz0dydPu103AvDz2/znjVhUF/Fd+CMbfVXesj74/mcQ38+vEidqUvv 4GJeJWGWvGdeCJy8YPWsgVuUupHLTJ7u3i/voxFlf41KqXjpgm7B5Ceb0mzD 5b01Uv9OeXd3XbwyJqpGnZovXsj7beTYWzqPGcU+KnlT7gTPcXwg78FRNnfK dpg7JlF3bHrbNvecnsv7ctTOacqyN1nPdOddD60+O/q1vFdH2fL7SdbL33OQ 8xr5Us5W9C4Hj9TbDZyZkwR+idMDu9pjr7Sr0RThh8mOwj/SD2MOC7+9xZ/S byMDhJ+VX8L/0s893MS5jOC85Lns1ZyfHOX8Wc7xEefqZBw2yLFRP+VjJTH6 hZ0akltkhk7tuSfMotcc3bsuK72MVvkrfVNWO8y4tFkZVKrnm0GnzuoW2v5w K7lVpwvdVnXNc8tkpdTbIRvufkhU2sz51MDV4ZsubWK7SbF9C6ljZnbwXLC9 ot4uYUHn1Sc/Kv2OXt89J6aY6rPL93DPWYX0CSNinct0NVM9AzNuWy4pqT/E ty/zUaxvyP41yHuN/Oezhb5jb4T+l+BJAd958L4Bv4WzsOcy9qVibwB+8GRs g3+r/SoY99L/gzmnopxPD+QtRN6Ikoe/BOZtUzYwju5/9eVi7ws6K/OSBycu CNHNH1DnlWuNB8pdy0mGh+PTlaM+XZdajy2qT9q8dLV3WI5u8dS03m/Snyvm 7huTl66poe/rYV43ZEZT9Xx22ddTHcrr02yX7S/a3UDtEBP87N2aymrDhi0i /9Suq37rMantQ6ea6gW+WzBfjfWB7D+PvO7Ir4i+R5uE/ifgMagv8NUYKPDu BP9P7EnGvoYGYnyJ/Z/wRwP8M3JQQZ6Q8R0NT/yEN4ZxTteJuzLoG4++NWPt Br++cU9Zzfh7Vc+4uZU+62peaPKhzrnfupaPZ27/1vObzvyX2UKvW8aqpXdA 92W3O+v9suYeej+zg+oZ7d29yNl++sMLgzc2d22u7i755OXzYYPVh/GTH9+u 01FfbMmoHq9CJqu3zpaJMjLroS/C9wfm81i/iv1DkbcS+SljhL5rP4X+FekC z2rwdfcTeBuME/gjseMb9nXF3hHE6Xz8MRt+KOpYkFclf1jCM+Hw7GnivyPx n0CczSbueoCnFnjmGlVelTbVWG3O2ODhqZVp9/rpb5aqPibVsLn+9KPu2WnX 3fTfY42etL43VP/85ie7uOyl6vb11ZpEr2imOvt92TL1ToD6OnPlnMjti9SL O3y/vgzcr+7fUr/Hh2t+aiLfz5gfxvoc9te4JeSpcUK+Cfq6or8beJaCr2U5 MY4Af5kIYc897DtL3K7A/qV2wh85+OeKpg5Jfu5NHbKEv4vAa3vglTHkZzD5 8YlzPsU5zwZvBfDaZuetKTVmsH5wlhjPb/Wt53DMX22weJKV7ay1qum85LbF bC6oFb0Pll/367S65cfz8bU7X1PdldPfi8+LVps13LS37odL6sgeJZyuVr+s OvLdhvlDrDdjv5RXC/mV/YW+iei/BB5r8J03EHjPpQr8efnCnjzsm75R2Nsv QNif9lr44yz++TqxYN2W9W8+dXIy9TELvm5MfagL74RPEbyznvwxI18vE2fv iIOkRcKe6/iv2ME5R27filZ/HRBjCZ+kY+bWoWqpwy9nNnXUqVsOpL8LM3yg z+iccaOD7wX9i4+plmWdH+n3dl58tMPtm/pUvi26iPllrDdhf13kFULPb/RY 4k8D/JsNvpLE7RXyfzX2vJkg7LPD3iXUqzf4Y95b4Z8lmj5H9he/p4o+ZAH9 x3fqoA910Ou14POt8HkDX8FLXeCl5utEfpUgvyLHiDhRiZOsQ8LeN3OFvZs8 bWLsCqXotzHGeI8fNmlguL5tgzkHjHsm6rP+3I+d6BCvps59UWRywAX9G76t mI9m/UH2b2BU8edz9LVAvxFxWxt8i1YLvD7gz4Rn07GvOvYGYX8o/jiKf3ZP LdgXyv7t+zTR581OEP3dz52iv1h9RPQX1tdFnZygiDo5Ab4fBN+XzRK8NRje siD/Qsi/usTRIeKoMv7oO1b4433nWs5JfrfV+4wV2o/qHbAsTH2Sn/h1WLtY 1Yzv58z/ZWzGfhPk7Ud+DHEt+WIEeAaA7ws8uwX8L7HH2k7Y50VfYEl/tZJ+ 689t4Z9ITR8t++Mv9NEG9M9L6Nt86ds6u4r+4yD9R6FQUUdfLhZ1tOxWUQ8O Ug8UeM0VXssiP/+Qn0eJs+vE2Wf8ZYS/BhbZdmK9h786mNGfsQTzX1l/n/3h yHuP/MPoa45+T/BEgO8O9cucPmAZ9pTBPsuewt4c7K8SJPxxF/8E9Sx475Bj 9RnCvw7TxbpH+L/OSCHnEeezvIHQY5cgzq85OByIx03gtOL8XbCjBfGYi52W xM8N/PCS+GqAn96rYlyP/wz4vTbjTdZ/Yn915GUjP4V4lPXJGTwHwNcQvF3B vx17TLAv6Qb5h/2Ddwt/XMQ/N2YUvKfJuKxFvl/k3uYFHxwmrqPpd/Paibg/ AJ88IC+qbhZ805y8iYUfj5FXZ+GrbeTdfvjMWuY1fJeAfwr9Ff65Qdzl4694 5pNYb87+AOTtQP5b9B1Afw546oJvLnh/gP/NAmHPhNbCvuLY2++YsH95vPCH 413hn2Kae63kySjqzw54tMokUZ/2wrObqF+J8HAU9W2qrDPUPyN4PI96bQ/P yzpqQR1Iot4cwv4j2C/rTA5xpfqIfM3iuwPzkmd3sz8febIPqIC+Wui3oF4X AV8N8A4B/2bsmY99ztg7HvvfUq9n4p9lmncAWbftp4h+aHWOqOtn6B8D6Xse bhH9VPhM0Rcc557Sjb6ncWnRjznRV8yhb7tA33OGMZd+pBD2/SBuAoibb+Rj d/LxDjzXje/u8MMR1ueyvxny/iI/E313GTeAZzj4CoHXBvwDsefddGFfbezt h/2D8YcT/kmfXPDdRPaRLenPu9BnXuM+c48+/An3mRj61EncZ649En2sD/eE qvS5zRlbgr8/+BXi4jH3mSr0IxXJNwd4bCU81oP6sE3yGvOWrM8gX28hL4U8 MENfJPrbgKcZ4xnwLgH/UuxJw7663Gdysf8X/hiJf4Zq3pnkvUa+MzXh3ekh 98kg7kV7uW8ac7835V46mXvVSsYQ8FXgnlOUc2/Dudcmn3aST738BU/dg6da wP+yjso+wJRvM+bjWX9sm9g/DnnZ3Ad+0V9v5p7VBjwnwDcQvH0Yo7lfJ3Iv 7Ie98l64F3/kcS801bzLyXv2c957enEPP8H7hg339Du8g9zhHn+T8S36n6N/ OOcaz7l6ky9HZ4h8CYKHZsNDPahXFdsIfg+mbs6tL+qmP/1INt/LmV/Fegf2 l0LeZOR7kJ810f8IPMvA9xW8FYgHaVcUYw72tsH+a/jDA/8UH1TwHVO++1jz nubCu9Bu+f7Iu9E3+X6E/OHIl+9Olzm3v+T/d/JhITwzC56ZAH/7w9821MVG 1MUL9Btj6Tdq9xJ9nAvfY5gvzvrXWWK/rAcmyK+GPj/eBVLAU5p83QDeeeA3 xJ5w7IvA3mhGN/xRDf+k/iz47ivfIefxztuRd0oHxgXy/ZL91zXnco14N4UP 7sEjrvDIBPh5MPxcnD5gNXXvKf3E/kTRT3jQp2XRp42m/93Ht8L8AdaHsn8Q 8m5TV2/yTiDfkUeDJxt8ZcCrA78j9mzCvrrYOx77rfBHfcb+mndy7fu4j2be WPPeXkoTzyM0POGo4d8fmrq2T9MvLNX0Yce1/W2vgveGlTMK3scaa/7/GK15 P+in+T/FWfPe1Vjzjhiv+R/nk+b/nt7/8b/C8NyNqys7XLT2uX89solrpdaf Xuy1q+fi2EYdHODW4Ydz20rLx974eaphu6H1DTbefPayXX56RICH7XzbkD+W V6eGfLQ96ZAxY7ypo9281ovdS52cZteySJXji+8u+fct5+V6uV/Kk/KlPqlf 4tHie9PZf33f65kOofPSe7YcUUI3Ye7B21VGNlS2P2t7uOknJ9248naBe45P Uv6curB009Plug8bQwwHLPgfvpkbmjpL3a9r2mP5zCDlnNL18qL7SQHRyqfu 4juM+XjWb2K/UwUh7y7y7XyEvq7zhf4xXQQerf9ugi/P8GnXqy8slPMWG9J3 FOmquz7ffsvJdiOUEW1DHMqHbNCV2fewm/HZ7UpuzS+dz4y6o1Rt0Lhb4ZlX lbGvjs1cYX9Fl7tt5qhXa27orrwU32WYD2d9tb1iv2M7Ie8t8sdZCn3Tygr9 duDVnu9p/PcUfB822x1vlDleWXDtxso+tVbolo4+c/Bj9mmlzMIVPe6uTtRV b791l2HgN92f0eeHHxv9XDfvWXyRZ40Kqc8nWb885Gqgjud7OfNvVLE+foHY P3WMkHcb+Q+2CH0LwdsR/2rjrxf+n4F9ldnvvze4uZtFoLJp0tRHl9zu6KoN PeeZaJmsKzf+UW+bu4XUkgY91rbIK6v+zmzufPdcbfVNRN24AP+m/3P/Ft8D mP8zTqwvMUzs954s5F1C/nn0paI/Ejza/Mgk/nI534f4zwt5Jd+EJ5fb9lrZ On95yLPvdfWbO06K8Qirq3dd6Gsxsthk9b7Z2OtD56xTjzSzeWN23V9N5tuT +XtOYv1k9n9CXiDyT+DfxcTDKuJXm7/uxPfLPSJ+9nM+d/CfPfJnT7HfmWlf UX3ayKdV/fX+6rITH+anbtCrIUcq3Rmw997/9B3+XgcfP1RD+V7KfBbrfSaL /b2QNxT/BqNvHfq7gUfLL2fJx4HEezLxNIfzMsR/Kehr1HVk21YR8WrQi80r r/18pbrMaN6rxqT36o2UAzluTh/UrnwHMt+E9S/Yn4Z/vyL/GfrC0B8DHi3/ TYc/ntYX+VmN+J9BfM3i/KR/pP5gs6r3J41/r4YMjHhdpMJz9eE+4y8hC1PU s3zLebl+Ofu9kFcc+QPQ9wD9q8Cj5ecK8F93+MWDfM0hP2S8neE8pb8knpE5 1ttP1j+vrtibscev4TZ1NN9yXq6X+6W8POSvRd8G9HcFj7Z+LICfywQI/is8 WfBLPvl7gvxIIf7k+abgvyXg88u82ute4CC9/E5jPob16ew/hrwI5JdFXxT6 j4BHW9+Ggv8w9mzGvjfYm4r9p//DnyPwnx/4xmj8KeNX5ttd5G1F/jb0zcgU +jdo/CnP34142E18lCdevpYU8TOdeFqiic9jxN8ZTXzKeD3OvMw3Gd8jkHcN +ZXRtwr97TXxKfMpkfw6Sb59Jv8yycdW5Hs6+Vqf/A3U5HuMJt8lPskPks9C kPcU+SbUtyz0v9fku+SnoqcFXxlSv4tQH295CH6bDd9dgz+foG8R/pHxkEb8 yfNdzLxc33yq2D8VeTuQ/wf+bIj+wqcL8qfk+/bwvz31oC/1YR71Ipj6sQD5 PfGH53/UI/ntzfwZ+HI8+52RNxj5Juirgf7Smnok62c69bTIAlFfo6m3H6i/ vsibQn2S56UrIeJrOPkwkvwN4bsR8bee9VXYb4m8fORvR18x9N/V1HfZjyj0 J4vpV87Qv7xm/2TszeV8vhG/j0eJ+L9EvtaAXyRfJDEfwfqP7C+HvHTkz0ff dPRX0/RLsr8bQr+3nf5PrrfAvnGcx2n6x2ji/ZWlyE+7LMEnu7YL/msDv1Qi f7vLesz+D/Q7/w91Zv2VVdf8f1TsAhuxxVZsUdRzxE5Q7C4sDLCxURS7Awu7 EwsQ5Fxio2KgqBio3NgFCjb6/axnXvtei7O+zx/w/LTXufbeM++ZPfOe2fvK jnxn9M1Bf1VT/6n6ZR/6587MV8SeNPzfk3i5TH8QQz4+8hH+SIDvPsDPk/lO Yj5QrWf/F/ozFW/J9L+N0N/M1M//r9yPVu2q2XdtmdF1G/YblaHogdjGQxjV 7y+GxtofTUiOONIw8MSTLqkRH2b3mfHHN6jemwMva1g/ttEqlru2batPEa1N HeupXsOvOpV+M2z17F81jUXdSidala1tBKTdzpZQzFL/nGPYhMCnrlrrw/PH nOnVT7Nr9epooxZLGlx7+izDrxqTjbmzF7zaP2CckTGo3I+TMXWc44K6VT9V YJ5mXfru3BeltxupJwIaTasS5jxj6rwhv3wOao1z/d7bx32VkVD7XMYXPsUb BhSpm+9HjL/x9MuS72vbbdWi9jc46Jirf8P+bx73mvxwo2H3vMfxm832aF9O Zfp+PWBWQ/fX8nsX1qvfcyEnP/KVHHf0xpcSPErvRnDmAr/C2fqZ2FX6iNir 7GpWXfxg4B/lh434LR5/Kr/1Oyh+dmwk/ld+7jxMzuUe56XO5Z7p/NSo5rdw jq841wuzPLo6rLfVQhht3iwIGLqwhlGxnU9zr7+1jTFND9zptr+TNmp2qVZD mrlpr/MVH9q2sLcRcrrvwflTfYzV2eYvOTNrieaTP2PPiCvLtfXngs/1PHrS qLNl1ryhE85oJXbcXd2s6C2jqteYtXWrHtYKt81fvle5c1r/n+MdvheMMH41 KXJszrp72s4ozzOfbS8aFr7//pD5yqw/M0b2p2wXeT8DRf4w9J3LJ/o3ZRc8 3mGCr0p+wRsL/kfYcx77RmKvg6/YX5SxI/4t1yh93Cv/N+WcfpAHHZBXAHnD /tqt/BrlrvVgdLgzYGWnB+ON52k9p3bNPdroujeuePvRy7VOY519bP0DtFi/ PDEzt0QaQW13z7vdY48x/OZtq8COc7TbbZpdCdj9wChQeei7Xz9fa11ztjzW dtZ1Y9Qbq/NhgZe1tcszFB+2O0a7tzP6QpEvTzWHdessc/bGaaV288186FtZ X5H92ZG3DfnHb4i+5Daiv+BcwfMHfB/B6/xH8O/HnqfY95JxOPZfxx+diN8k E0+o+HYkD6oT/9985Zx8OacJ+Msefbcj6/s9T1imtT0n4+IiY7OvnRtkVH0x fEfRDSGGp/PoQk9GnTXejFv2ePLLGM2156DUsv0yWYxWtnmX7k3THCsOrZn/ uY3FcUiLfCP3vNdSdnze61i0lN6ng9Wa0nX+GgNCrj+b3b6OfuedW/FVLbJY evBtz3y+nbI+wEP2P68g8qYjvxT6Fij9DQTPM/BdB+8V8G9kPIx9tvg3Afv3 ELdb8c9eE68q/rDAq1Pg2dLE/z3y9Rjn+GKPnONS8BwCz4b9J7yb1Lyl5WPU S8Q1m2uXz5LtW9TTQdGvjGpu284W/vpQW+eRp41lTn5Lxe4JX2437aMf72O9 c+HN2vr8XGd3BrvM1pPu3Flw7XYvvc7GlUezPFmlV3tTu83ZMkP0uny/ZH4x 6w+zvx7yJiD/YxfR5/ZV9PcGTxj4EhjvgP839jwhTh3Gib325P9W/OEI/3oe SV+HFD8/9xUe/0Rdmgav5IdXQsmPp+RrX855PudcHLyVwatF9Midz+qn1ihS xnbDM3d6EzpZT7rV7XqGDWP034FBryZ3OawXmHr10Q/fzfo/IT2CPEde1Z/u qNRvXNBJ/dL5bTfyLrynx+Wsu7/TmTP/fj9jPpH1av8f5L1Ffg/0uZ0V/VcM GbuCLylV8OYBf3/sKU3+r8beK9jfF38MoL7F+Kav26r+hVMnHamPUfB1F/i6 P7yT57LwTj/ypzL5Y00cNG8rcXAfezphz6Z+lXyanjz577i9x/llMyY81hsc OVClz4x7+sLVjRvZh7zTv+aaV75zoRf6nG5B5Yrpn/R+T4sX+rH69b/fan4R 69X+bchT8jcz9kT/P+Dxcxd8w8GbD/wjsaftdbFvA/a2xf7P+GMi/nlUKn2f o/qLBzmlDylC/zGIOviEOvgoh/B5fCXh8/rw0lV46Qb5VYX8ykmcZNwiceJs trdjnkYzin3UNzKuu9ZoXf/Lr/WacUP6uh9/r8/cfD3Os8kjvf+Xj4s2n3/9 73ct5teyXu1X8pR8pS8D+vOBR+V/KHjfgL8d9mShXsVgr+oDfPCHG/55mDN9 X6j6t4P0eUPo7+rTf1Siv/CiTj6grlaF7zPB95nuCm/5w1tPyL8X5J+KIxV3 NU3+GJ29deYXOW/pnoxVW77stCvrdv1qzKY/lyZF/Ps9ink1Kv8r/5rjWuW/ 4gPFw8nwbAHwr8Ke4dh3GHsHYP8i/FHcTvyTLSV9H636Y2f66Dv0zxfp2xLp 25zpP7rskv4j23upo32po42oB7WoB3fgtcvwmjk/VZzNIM6umfw1Z0LxIuW3 DtdnMi5irMK8Wj/DFLdmPlC8+gA8tcFXE7weqg/AHlvs24O937D/I/5oxb1j iuneocYq+Lc26/bi/1wuIucS51MJPUc4v1HgyEo8Kj8+5vyVH828p+JH+WG0 KQ4rMy7Ef9X4rmaKS5XvKr7NPKr8+Bw8Ct9f4rE/+B9gT3b61kYrxF5lv9Uv 8cdH/HM8Jf09TcVlIPm+hrgtBx/4E9eT4YvHryXu/w4WPrEnL57CN3PJm9zw kcprcz3ZAJ+tIS9Vfqq8noV/oog75S9zPq8z8eRCU/1R+m3B4we+SPDmAX8S 9iS+FPtGYu827M+NP6KLin/W5Ux/r1U8+Zz6UxkezcT97T08G0j9ek+dWUl9 i4en21D/VJ15TH1UdWajqU6rerDBZL+Kq9mm/FdxVtPEgxtM9UWNql6n0Q+l gMcRfJPBm5v7QBD25KTOWLA3K/fXKvhjMP75ZXoHUHV7Hu8AOY5JXZ/JvTic un+S+11yrPQF6p7iTt/wi/7xTyfpK65apF9zpe9ow6jsU/2eiptEUz26ZOLV SyZ+SDTFuTov1fd0RF9bxpn0kb9dBV9t7gcDwP8Me2xjxL4Q7D2A/coff+l7 1pneTVQfWYr+vDl95hj69630oZ+5z+ShT42j/y9FH6vuCa3pc3syxoLfvqPg V31ySeJC9SOzyDfVh1eHx+5TH2ryreZVftqwv5QpD952Fn33OE91v2rCuBe8 DcAfiD1p3DPuYq8P9rfHH+Xxz7fD6d+Z1L0mivtiJ+49N7lPOnIvasV9U93v L3MffcO96hVjBPjagc8gTttz7v3JJxvyKRmeyglP5aBeqfu0M3W1I99/qA9p O9Lz8jn4xR759dAXg35v8PireyF43zHOwp4jpveLSth/AX/UwD8XTO9y6p79 gveLLdzDr/K+kcI9/RXvHzu4x+9V7yPoz7pP9MdzrkWJ28vkiwf5shQeioZn p8LvJxOF39u4St3cs13qZn36kSM75PswdXX1K1k/n/0+6n6g3kHuiL5L6P9B nG0C3xv89QH8M7FnHGMM9sZjfxD+WIR/bpneMdW7TxPe0wbyLlSX9zZf3o3U +AD5ycgfz7m15tx+kw/nyIdx8EwgPLMd/k6jfi3LLnUxkbp4m36jFv1G4wDp 4zLyXZT5Uay/xH4L8johfzn65qDfFTwh4CsPXg/wR2LPIewbgb3ejAXwR1P8 U9L07qveIZ/wztuDd0o11mG/8u9ZziWAc/lJvHsR7zPgkS7wSEX4ORl+zkLd c6bu9R8t/cSgYtJPLKFPi34rfVrlq9L/JtG3xdPXFqX/mMH+2Cki7yj34Pvo a4Z+O/A4gq8NeF+CfyL2LMa+ZthbAvvrKX8wnjK9k5vfxx+a5hub/B5jiud3 Jp6obXrn72aqawmmfsHe1IcNTk3f314x3Rt8TfexuqZ77hHT+0E/0/8p10z/ u0Sb3hF3mt5nK5jevYP+y/8K/I90kv+VgvmfKYT/nUL5H+o0/0ud5n+qMP63 CuN/rHD+1wrnf65/v9W8Wq/2K3lKvtKn9Cs8ZnwpN6NtVxzMr2Xoee6Ecc/J eLU7oMmkEwM06ytWG7KenGZ8DK/ddfOpw9r1SNcrG+qdMArv3tj7eL8Ew/Vk XFjnpChjxYw+f195PtOO3bl1fliNBK34dPnOcULmR++S9Vcssn/BGZE3+7LI z7lH9HmjPxU8Zv9dZt7HdedU40hvrXe9VclZQuYYFaJ3uk1x2KIdOZvjQ1Cd aGOR09RTPRzfaS2zxM5xvJVdr76u8YlX+T5o+aaFd87ROqPl2NVWI707Z7A8 nyLflZnvmlnWB9aT/fMiRd6P6yL/HPqauIl+u16Cx3y+X/BfXta/KTap7YVB e7U2xw/7NGh63rjuO37z00OfteEXU2vHZvxlHO569kaNrNUsJ6pUuVhgXH7L S5dnu25Xc9J3eDTo/H1zE70u300qy3w21vc6L/vLzhZ5Sr5LcdHngX7lX3P8 Ned8I7BvJPuPJ2dqvrbvY82qfvkpIaPzWJI/HXuzN6SAPijiwrtSdxvpIY4j /hTs7qxfjCxn02ZCN72Rx9gjN0956DPPyXeNGjJ/LVzW9/oo+28gLwT50ehb wvltAI85PwoRL6s432f4zwZ50aVfRVw7WFff2aNbbM2CAy2di2zpWdF2uuWy /3yn2qP99Fw3SzWNd9+tjxn7MGNqr0N6Nr7bz5f5+4VlfX/262VEXn/k18S/ VYiH+eAx5++vsxLfkcTPlAtyPhOw3wv5I38EFLTznWfZkuXzymOvD+iNSlkt CY24oE8o97XsLZdz+thC+Ze4VgrV1/Htzvw61i9g/xrkhSC/KfHkQPyvIV/N /LKQfDxIvCd1kXhqc0bOKwl/NEXfm8rTVl66e0Vfse91tcrTDItlVqGwbZUf WbR8KytmbP/IEsx33F6ZL1FF1p9jfyTyIpH/D/qOoX8aeMz8lw/+MNZIfnYk /pdUl/iawvm1xz+b0D+h/8rn7a0fWPJ52VW938XQAzIHng4qdVsfw/c85h+y vjf7GyKvCfE9AH1W6B9xXPCY+fkkfFdyqvCJB/lqTT5kJt4cOc9v+KsreHIu 2ma3y+GynmnF8NvNrI7p2fhuyfwT1s9if1nkNUB+6aai7zj6d8DH5vqREX7+ GCX85we/zCF/15Mf5Yi/apzvJvz3d7ngi48vduPuzQDLR75XM1+b9X3ZPx55 OweL/EvoW3hd9AfcFTzm+vYVf76Hn2/iz9nYWw77G+MPe1/xz98x6f1phz8d +b6JP0/jzy7sz4c8F/jMH39eol6cmJnen+r8dxIP01ZLfIxU8UL89CeeXIiv ZOLtIPH3DLyL8N8b8G1S8Uu+tWB/T+QNqibyUyqKvl8rRf/Po+njU+XTBvLr PPmWl/oRRT5+JT+9Tfmuod8G/5blfL/jv+/Y84v1s9lfC/6tivyS6DPQv9CU 74qfcpwTvuoJfyXCZwupPyfhOx/4T+GtjX9qcp7Vib8GfDdk3pX1Luz3QV6l JJGfD33j0b/NxJ+K7yfB/7mpB9WpDw2pF62oH32Qnw1/DOf8MhBvS8iPtBt8 M3+S85jE/pXUt6LID6P+LaMeXghPX49U/bSLknr6jPpa/ITU23yfpf46NxB5 fagfj6jXO4ivuLOSD4fI39rkx0zmn4XJ+uqcT28nkbeF+v76mOjbS38x9HL6 +q76kR70J7vpV07Rv6yjPxiNf8fR73ygfrgR/1PJ1zJDhF8y8p2ZeW/WR1OP V+K/acj3pT+rif6Fu9P3S6q/c6ff86f/y+Ek62fh30/Eww7q/0jivRn8UHm6 8Mk0+G83/HKX/P1oLetLEX9JFpFnh/yLdUXfDPrfIz3S95+qX552S/rnL/TL S/GvK/2VfYTESzT9eH/y0R3+sMB3IbHCzynUk41HZD55p6yvTH60JP4yIr8S /nsIvp030vfz/yv3I+5zpyyDByw8/NdKq+8ho/r9T+zQKV/2lDFsin5oO3Bh OYN7YXBq6ZUfvwW30CK/9fC5He6m7o8hyx60Dl563NOoO6p4wdc7PdU9M/TS kK1PK1dYqvUo12p5vqOb1H30dN55H2dcObvHeHfjdZZj+kl1bw074Ru9K/7U La1+l3XXfifGqvtt2MuPC3PV3vJcO7bcvXuBjiHqHhw+yDspp93DWKNPy3z9 dr27q+7L4edL7H+YVvCx4Tq2cs2QR/fVvTr8RzH53b6FrFe/7/ESOS+WiXwl pz16R3QWPEpvbXB+ixb8Cudx7CpUXuxVdoXhh68jxT/KD0/wm/t38afyW9cy 4ufL+F/5udo9OZdFnJc6F1vT+alRzfdDTg72zyg2Oqn6lxZaDsZRxXqfWLtl uNEzOGzxyNujjRzXr4ztsWaplvJ4jd+TAQu0GTFFC7xK3GesHT08R+0hp41+ Y9r1Xd7mqXbt95oF/q0vanOm7f5W8kGCUfFAm+RlG5K12l7dn+S5n9HyJn7R 7ENP47SJ76rbfvj8TXO8ZdPfOccno/O2JN2ncSZdy7nxZ9/oZKPRVvnOdEPm L76V9d+fyP6FY0Texv0i//NU0dfil+i/AZ46YwTfGfCeB/8m7LmBfRWKi73z sf8LY0v8890U98r/A4n7gZyP8lc3/Dcn20jr4CfLtZeMHsfPj+vZ5Lix92mx 5wdP7Te2e2V82D7vHe3whVtjwnY/0PaWPf0+v2uyUeJPf9+37T4bEyquW+/0 M6v+unPWkQE1ClrGL5s+7dnhsvqrHYv/+hf9bcyxOzlwxNRT2p6UdrHfE2z1 JlVunC8aU0J/HDHKa49TAd2pmnyf+SLzDwfJ+kXsz4y85sifWUH0jU0T/b/A 0+Ki4AsDbxT4j2DP4uxiXwnGDPhzL/44gn9emHhCxXdeeGI98Z/9iZzTgWty TrPRNwp9AUs3jBs5LFobynjKuuW7zmPfGFd23Xy3Ivy3Md06xXpNiK3+ubRD trG9Muv9fH5EJRVpbNlSv8+VI8/r6u063HnwI397S3DBGpWDt5fWX/eMf3br b3d90KHIbl2uOlmcd8Y3GhvvqQ9eE/YqMUWzZOB7+EGZz9ZL1r8qIPsbtBd5 JZBvjb4ZpUR/jsyCx2O34HPMLHiVHXbLZAzFvmLPxF5n4nQO/viMf7aYeFXx R3d4NQl+CSM/mxP/24mzs5zjX/x1GP9t7Vrt8LDOhfVtjIurl/rU6Y2bZXXK +1Le++tYWt47/6xQuxYWx7sHV9xb0t1SNGtk9sSPs/XX/2yvPP9FR33YDtfN Nu7rddeXu168Heer77Orl71NwV366r8dv3zvvUA/y3dV5newfh/7GyBvwx2R Pwp9L7+I/iDw1Oom+L6D8y34R+PfXN5iX3ni9gn2F4UPOgwV/7w01SHFz12o Q5Xh7zR4xQleWUx+XCY/ihNn3sTdd/BOBq+Da/epX5PdLBvbyxhZbr230XOt bsTOmflz/zL9/e8dL04WCdWDs4+1e+kYpCd08f6Ta/953efCja+vi0bo5RZ8 y9r/hUXPaje+jWPkWb083xOY/8b6vewvliby1iD/A/oedRD9U8BxBXzlOd9T 4N+IPdUcxL572LsK+/3h+Zv4J8hUt1X920Od7E99PABfJ8HXI+CdBHjHjvz5 OVnyZx9xYCEOumPPdez5+fPBWGN6hP6UMWFaRpvcg47pSbsXP/ve5Yy+sNTN bVMG3bFUWrBi+sMXoZabthn+Gd7uoeVN8pLwdWlRlli+MzI/m/XJ7H+EvDTk f2f8hP5N4BkbK/gegTc3+V8Ae/zg8XHYO5z6eAx/7MA/6zun73NUf1GLPmQY /cdN6uAh6uDy7cLndvD5e3jJDV6qkCj5VY/88iNONOLkCPbex967VWuMtmt2 33KH8cDpZplX5gux7NoX0m3hg5uW7xcHudzZd1Vv090rR6tboZYMl+R7IfMP WK/232DMPl3kh6KvGvoPgKcO+EqAtz/4I7AndanY54S9i7C/M/5oin8WL03f F6r+bSx9XgX6xFv0F63pR1Kpk3scpU6Gwvc/qQ8e8NZYeMud/LPuKvnnRhwt Io764o/cYeIP7WavxTvOR+sujKOHToh61TNYT82xyssp0xXdj+8GzLdizMz+ schbjvxs6PtO/o8CzyrwtQRvY+rVPurb+zZinw99wxbsb0o/lgf/1DH10ao/ 3uUtfXT24tI/h+eQvs2Xvq03/UdaVek/bKmjeaijFurBHupBYhHhtT7wWqHP kp+fyc/ixFkCcWeVU/y1CH/lcnw2K0Oltbo1o/r2Zt6a9e/YnxN5ych/Bx/U QX8WePYo+M6AtwH47daKPTr9VmaL2FuFPtYhl/gjmnvHrnHp7x1q9CMe33EP qXJT/B+MH78Rjwvo4ypyfvXB0Y/zPQbOfpx/F+yoR3z8wM6JxM9T/FCL+FJx N5KxHP5bwPd8Rp31VuT7XOQ9QX4W9BVA/3TwBIBvKHjrgb/nYbGnQmWxr0mq 2LsWP/64Lf7wKyn+qd4q/T1NxeUQ8r0lcesGH1wgrs9vE75YXVfi/jR8ovLi EHwzgbxZCh/9JK82wVebybv78Flp8tKBsT7++Yl/P5PXNvirMfO34cebjBeR p3jjH/S9Qf9B8PQBnxd4h4L/Wn6xp8CrE/+xb+NWsdf2g9g/9pH4w2Ws+Gfk 4vT3WsWTp6k/reDRSOrTPnjWj/r1Bh6uTX2bDE/fov4Vg8cHUh/rw/NJ1M/H 1JlQU71R/t1NXD0jrjaQryrO1jA/n/U32R+DvGuMVr9EXwb0R4OnJPiiwBsI fifsyU0dnYW9W7E/An8MwT8HTO8A/75P0A9FUtcT6ZeuUffzc7+7TF/Qooz0 W33pG/zox87QVwyhXztL3xHBqPoRa+y7QtwkEjcq/xuRj5XgVVe+GzH/lfUB 7K+NvFTkR6MvlPEYeNbQl6n7QQ/wX6V/7IJ9WbC3PfaH4I8t+Cf2Rvp3E9VH 3qA/f6feUejft9GHZqW/b0CfOpz+/yJ97EPuB5H0uZcZh9AHPwH/QeLCjrjY rvoj8s0bHvOHx75Qr1bz3Z/5fqxfzv4syBuM/HnoG45+V/B0YTwF3iPgv8H9 bDX3jD3c3zpg/3rud7FzxT81yqV/Z1L3mhKj5b64i3vPFe6TtnfkXtSL+2YL 7k0B3EcrcE8dxDiee5cb99k07jnFOfft5FMv8mk5PKXBU7Pg/zbw/zXqajm+ PZnPyvod7A9rJ/IaIr88+lyIOzf81RT/rec+aGH8uUTs8ePeO5j3hCrcCxfw LjSfe/Mm07ucumd78i7XLE7u4aVD5H0jgHv6fN4/rE/IPf479/lH3PN/of88 cdqOuN3EO8Ej7kHq3pAHHvKE34M/Cb/3om5erSR18xb9yFbqaCB9QracUu+a s38SvH3cSeQ/Rt808nUEcbaKuLsE3qvgb4o9tRiP8q4VwzvNz1Pij9q8U+T+ lv4dU737NLKX97Qk3oWKF5f3trK8GzkxpuDPHNEiPwNxmo+4XUv+l/GSfJjE PdUanmkFf3vC39b0Aa/eS11cQL9Re7v0G7Xp49bTf+RiPo0+oiZ19eNokffC XeTXQ180+tNGC55G5KsLcXaZuOuLv6rgv4G8F45lfGUv/gjmff2MXfp3X/UO uZJ33pm8Uy5lfML75Un8O5Y4HUfcOpP/XeCDVfBqK3/hkS68d3SFnzdQ9wZQ 92zpJ67QbznHSJ92lj7tCf3vH/rfj9wrVrB+/kPZf/uDyHNGfk/09aE+jITX asFz18nPTOD/577Y40PcXcdfmbHfif8tWjGmDEr/Tm5+H59pekePMr23Pza9 yw8dlZ4nppje+b+Y/g/wNPUL30x9WA9Tf1tgfPp7wwXTfcxYlP6e+8M9/fvB XNO7zF6H9O9dmukdcdjX9O+zhUzv3sUG////V8hZ78hTm7thdfJ5H1ncp3u+ ehtntZnZcYCL096WvvN+nG5Vv7NPlp3bhlZsMPBQTK6nsf80iC1dPHzq7anO FW3KOuYJ/eRcclb2IflrujRs2NanVQtjbMN8u9t2fvds9r/fal6tV/uVPCVf 6VP6FR4zvndvzxetWeVl4wtbxrR3fp/VeDTXPjZ/4epateARJ+72bWNcOPtq aYaDkzWPCY0K2lxcbjzdGx/X6EOwsSrq3r6Gv3cYQ52mvtgWGKLlr1/205rb Fm0g3w7Mn2X9o/Gyv2qkyOuK/NHzRJ/nVtHf+J3gMfvPmvnlbfbvOhpRSTu1 8/7iCgs7Gv0PjniaZ5enVmxa8OhORTYY/QbHlyq/MEibteljwwrN72vH9k/O dKXrRe3Dr0Pl7v+ONvKO7ZN/a+Qt4yTfXZjvxvpc7PdD3kTkJ6Eva1vR3wg8 5vO1x54g1s927zpj+v3xmv2Hv4P3DllhbL6ef2Cvsme03YfnHF1ZMNYIKtTD M3vVP8bjzWtLb3ueaJRtZpO/1f0s+oCrLc6VO2KjN+C7LvNzWN+L/QWiRZ4r 8l+jz3aX6F8HHnP8vTgl/n99QOz7/F7277rS+PXG7/u0iQUnvl2gPTS8vKfM 7vjxlFZ5X6nBnmE59NHLVw79mD2/bj2hxukGm6ro96z2d9z4ykl35duf+V97 ZX25kbL/OfKeIt8ZvF74tz7xYM6PgsRLf87jEf57hrzJz47syl/1j9a3X6eX /tGOFq8pqQvXvnW2ZG/bsXv56LH6iD45M/d+vULv5L5sgtOO9foovu2Y/+kj 66uxPxV5OQuJ/Kb49zT6+4DHnL8W4jt1kMRPA87ntqfY/6uvyO9bKFvlzBXq WJ44jnvwsNN6PcVlaveEa2f1epdyVJxtc0d/laPNp/6VHuh1+f7K/EvWW9hv Bd57w0V+HfQloH8ZeMz8cpB8bES89yOeTnJeefDfbfQdOVotou3raH3o4HEn tke90Mu08TpX7cIH3dc/6mVCwMd/v9X8CdY/Z/83/BuH/D7oa43+veAx858X /DGd/PQl/jcRX6U5vy/4R+n/5L7zZ97YD3qFhFTPBVqC/qTt3QUbO8bplfhW 82r9N/YXQd7rZSL/+SbRF7hP9O+9InjM/JxQT/hu90/hk7imkq8dyAdP4q02 51kKf1UET58Ck14sn3ZaL+y82zb4/Aa9P98Kr/KvigcVv/fGi3wv+OHVb9H/ Av411w/DSfh5qbfwnxv8kjuD5G8P8iOR+FPnG4//bMA3Ifehg94/BlsK8v2U +VmsV/HrjryD8IM3+hbBv57UC3N9uwD+7tgzFPsU33hjf038URr/qPPujf+K g28g38rfDqxX56H4YRr+nIS+gWmiv2j99P5U53+YeNhJfIQRL3mIz7LEU6op Pt8Sf+XB8xj/KfzvTfGp+KE48m4Qn43R1xD9VUzxqfLpMvk1kHzzJf/KwOdV yPdY8vUg+euBfuVfdb6lTfl+lPWKz6Yj7yv5vgF9k9F/z5Tvip+86C86UX/3 w2dZxgq/6fBdXvjvEfo+4x91ni+IP/Wt/B/Heiv2t0Re0HiRb0HfNPQfnJCe PxXf14X/l1MP7KgPVtSLu9SPHsiviz+Kcn6KD9zIj+F8F2b+M3xZlf1bkfeE eveG+ueF/oKmeqTqZyvq6QTqa23q7Xfq72PkeVDfSxMPLYivjuTDXPL3BN9b mT/N+U7xkv0xyCsRJfKro289+iea6rvqR2bRn2ShX4mnf/Fgv+pvwjifucTT k40S/0Hk63D4pSvfO8kPV9avYP93/NcB+aHoS6NfG2Xql1R/V59+Lwf9XzLr g7FP9YtDiB9P4v3AXsnPin+ET47Bfzfgt2bkbz3Wt2D/WOTNQ/5j9GVDv2bq P1W/7Ez/3Id5b+zZif8diZeZxLfih2OXhT9mwHfT4efb8PFg+CWQ9c3ZXwx5 7sh3QF8z9Nub+vn/lfvRqin2B+2OjKzrMf3C/aHN7zTezqh+/2e028WL4z5H 3K65vfjE7qkRoYM3Tf3T+2i96k3+samyPr/2+M3T5BEli2s9xnsNvl0oyilH 0wfBgQ2djNg13pP6/nQybnltnFB8eUT9cK+54WdXdNMOxW05/7TMMC0tvvW9 G48WNXBZuOZ3xcSZxtSQwjnjf/kaVWu39Z9xpbbzhEpu7hnHrNNK2z8/UiRk j1Fk9cjRrx+HOh+Z3tO+edoxrWfAmUdVE1cZKYe2PrSzKtbw1uNP15ef2mhc rTZ7zNvCu7VlJbWN+qy+Da+VKqYVXr/bGNK1w/vkxQe1UQVD3ydmmtlwGr9H sl79bvdE5KSsE/lKTgB6fxcVPEpvHXBWA7/CeRq7CjwUe5Vdv/BDKv5RfhiF 37q9FX8qvx3Bz91rif+Vn/Uxci7POC91Lh9M56dGNX+Hc3zNuQ5482vd7iIF NCfGuff9vv5xqmscHb7Q3yu5gXHSZ1ipG496aImD8o3Z7tJVq148/NmxCZON k7b9e6/MP9c4fn+db/FB27UhefK9LrZkgzZj6LsONezCDcfLAXtTv5zT0rqX 8c4w5a5x+8cln7g6Qdq1DwWOB3WL0vQ07/29O50z+pYtt7759zht11ffvw7t rhgN+XZmPv9HWT+B/c+QZ4v8NuhLyi36k8Bjm0/wjQFvocGCP/cUsaf8CLHv NfaGYP9Gxnr4t3Gt9HGv/P+EuO/O+UThr9nIy5g06FbO1b00G8bqR4+tzhUz w1i/ekuj62cnGjkubz/c9tAmrVDXtsaOCru0aSG3TtZdf8l4vjty8KvRp431 /pGpLj2vaFuyN87U+kKCYdlte/TciM9a1srj8kw9esto+XLMzSXnz2sbiq5a t3ByvJYlbVbJXavfavPPuPSv9DVB28r3WOb/YX1YJdl/DHkzkV8Xff3Rb4Bn JPhGgfc6+E9gzwzs28b4Cvub498V+Gfl2/Q8oeJ7AHlQmPjfS5ztIe46oa8q +ibYDJ+yffB6LZAx46H5lX78DjX+DKzrv/f9RSO/zezvv/6e13rYFvy2dtFD LX7Y1aig8rksk1PtCqz/ba1/mzz37y2nIpZpU/qWj/merJ15OCE+14ZKekr1 cSPmjshs8fYNPNeumaYvqnmwreeSXJbxfP9mPo31mdi/C3ldkB+Evic2or+U reDpO0jw9QVvKvjjGEOwLxx7KxGnafhjOv6JN/Gq4o8keHUr/PKd/MxE/Lfg HN9eknNsCp6i4Onw/GvC+/HPtRyMLvt3JN5aWcwSd39qQtGlaUanMU5t+5Z9 aMyzu37stkdpS/MNFRK3Bw3UjYo123awbqA7uDxaXumOn56m9c7wPHaAnnPi m0uHsqzVn0eu3RmW11PPzfcP5quw/hr7OyJvOPK3Dhd9ruj3AM9Q8PkxKn/O wJ6hxOly7B2B/fXhgxT80+Zh+jqk+LkoPD4Z/o6FV67CK7XJj9XkRzjnvI+4 Kw9eR/AuOFtm3+A2hw37OjJ2jBsVl8Nhuj7kRcyKvwHj9F3H55zKefWoHhQx 5Lrvg616sWH1w0M9rul+AZrbg0rBumtA/y/z3t3Ta3m/CBw80vj3ey7zav1R 9u9F3iDkD0bfvm6if816GXuDLwt4FxCnu7AnFvvKYK/VA7E/BH88xz+5TXVb 1b9E6mQe6uPvS8LXFeBrD3jn7zzhHRfyZzf5U5c4+DVO4qAz9vTCnjinzMW1 WsH6A0a3nG7tW+97rG8v0KJK7N17euGCl6/cbPhO9849wrnsh0Q9ZEhYkd3r P+qfmw34cq/J63+/1Xwh1u9gv5L3wKRnOPr7gKfPKMHXDbybwO+MPRXg1VHY Ww77M1C/yuGfF0XT9zmqv3Ckz5lB/3GYOniLOvgAPl8Pn7eBlzbDS8nkV2vy aytxcpg42Ya9rth79s1BY9SCD3okY53ezScf2vZav5nWM2vl9u/1uWGttC8v HukLbrmX9t34WvfjW83XZr2So8aOyFf6lP794GkDvk/gPQ3+/T5izxrsa4i9 MdifG3/Mwj991qXvC1X/Vp8+bwh9Ysxv6S/20I8E2EmdHPRK6uRi+P4cfJ9N F94qA2/NIv9Kkn9exFFB4ug2/qiJPy7NaFQz89Vb+kXGtcc82+z32Kl/9/sQ F/nKoq/jW82r9cqft5BX0BTXKv8VHyh8mcD7DfxDa4g9b/4R+9rZi71T6K/2 0W8Vjxf/NHNM30er/jgjfXRQSemfe9C3vSojfVtF+g+3P9J/dKeO9qWOplAP clAPKsNrHeE1lZ/B5KeKs9nE2Q/8tRp/NSvn/7is4a27MLZnVPM/WT/HFLdm PlC8WgM8qn69Be908D/Cnou/xb572DuDvvUL/rAvLf65arp3qDE//l3PPWQ+ /h+JnBT6ttn0ca6c3wJw2HK+yo8zOX/lRzPvqfhRfrxkikPlLzf8p37fYIpL le9KnplHlR9V/VL4soJ3BPjnY89l/LiNePTA/hj88Rb/jHdMf09TcdmLfK9M 3Co+2Edc14Qv7BMl7nfCJzaPJC9KVhK+KUXe7ICPipNXW+ErlXcW+EzltcpP s39SiTv1fdGUz2aeVPJV/VJ5fUjhAd9X+DEX+HXsyfFc7HtdUewt/EnsP/xd /FHzqfjny9r091rFk5m5Z/vBo3bUp0fw7Fzq13Z4uD/17Qg83Zv61woe70Z9 PALPq/qp6kAHRgP7Vf29aYqr+aZ8VfOFTOeh6rUaH6JvD/qHg0fVwcngvQH+ IdhzCPtWYO8T7C+HP1bhn/z26d8BVN32oR9aRF0fyb14N3U/jn4q/3zpC0aY 7ik36McajpC+Yg99Wxf6jvam/mePqY6ruFH56GbiVZWfXqb6Ya7LSn539Lky FqwkeFJGCr78DwRvpuGC3x978mFf5j1i7z7s344/duKfLaZ3E9VHlqQ/j6LP LEH//oU+fBz9/TX6VC/6/1H0sV7cDzrS56r7Q8kigv8t94vBxIVOXBwg3wqT b4rHssBj1akP2fiezXwJ1u9lv4a8nshPGSb6xvQT/S3A05qxJ3g7gF/dz05g X0/sfYX9mfHHPvzzNy79O5O617zkvpjMvUfdJz24FwVz3/Tg3vSY++gw7lUD GPuCrwj4YonTF8TtCPIplnxqAK8Wgafywv/94P/P1FU3vrMwf4d+JQf7tyKv GfKvom8X+vOApxP4RoB3HGMU9nTCvmjs9cb+ErwL/cU/Wdemf5dT92xv3i/U O50T7xvqnr6a9w/1LmIwZrAV/UvR349zvcC5TiBfKpAv/eChDfDQ+8nC75Hx wu83qZslqJvn6UdW812f+eQEWT+N+jAEeXWQf497SSP0HwdPO9M9Ogv4/bBn CqMP9uY1vaeNxj+dTO+Y6t2nJu9pS3gX2sR723PejR4zTkK+PfITOLcFnNtA 8uEr+ZAMr+6BZ/zhb1W/plEXV1EXXYpJv7GGfuMjfVwPvuvQj0yij0hh/wnk 9UX+TPSdRn8CeLqArz9448D/lnetFtj3EHufMar3R+WfyqZ3X/UOqd59K/JO WZPxCPu3s78K5zKec6lLvJfxlni3gUcs8MgM+DkQfi5G3VtK3WtFP5H5mfQT 5f9In6bT72b7Jv3vM/q2QPo41Z/dZP8A5KXwLjASfa7o3wMea/Clkp+24G+G Pcm8u/pj71bsL4k/yjIGm97Jze/jh03z1U1+10zxXM7EE9lM7/xzTHUtk6lf mGHqw26a+ttY073B0XQfK2y658aZ3g/6m95l/pj+d0kxvSPam95nG5neva/8 l/8V+B/pJP8rBfM/Uwj/O4XyP9Rp/pc6zf9UYfxvFcb/WOH8rxXO/1z/fqt5 tV7tV/KUfKVP6Vd4zPiODPFyWXGwuFGm/O3fjybW1azKXYu4mtzMuJH3cXzX 0p20Zw49i3o1C9AqWJ1ybu+1x/DxLftn9LlLmrtbqYbzre5oeed2eJvZ7r5R LLBiiVnb3hrWc+R7O/OJs2T9VPa/KyvypuQT+ZMrir6L6H80VPCY/RdVTuZ3 P1mYb9jD1kbHZfmnXS9RTWvm1+n670xeWmS7I4dqVI8wfv1JqHcg4YOWI9fs 25kGJmsHYo5EJ5ZMMhrE/l5dKzLFiLjl8mNU52fGhPvyffaOzN/NKev/sj+0 rchbP0vkbzgr+k7Gi/5cFQSP+Xx3479zu2X91y5VUgIqztHyRefKOqzLPqNl gdIbvONfa18v/S4c7ROrdQ/cfWLuyhtGrvIvx7RtlEOv0ud9tY22BfQxuQ88 SUjMq8/rJ9+BzC8/JOsLsj8qv8ibdF3kV3cXfa+DRP/zCoLHHH+JecT/X2aL fT1uyP6wqodKBwZEaQFJkSN/hWWydPeY+jlySXU97fnW4an7auju1w7sPvUi jz6o/VqnCvN76UOG3z220m6E3pDvxRdlfibrXdlfF3kWJR+8LeeI/me2gsec H1+Jvyqc72j81wB5A1Idc/e676Q/e5a0blGd9parGR8f61VxuGVg2Tcug/wW 6pNKJbW7+2aXvnrT8tnH9YP6Tr53MP+C9W/YXx55lZB/B//eIR6uE7/m/G2f QeL7AfGTdl7O59lgsX/Yc5H/+NUV67lHR1ou2U3ufOPeAX3v+x0+uy+e0/Nk 2HX08cqz+j8J2R9XsQ/WK/Adzvw11r9kfybkueDfxhdEX/W/ot8HPGZ+aUM+ PiA/xu6QeLL6R85rGf64iz4tflotP9uLeo76OV09rxuWP+H2dWvNeGBxT5n/ e9LDB5YCZ+S7NfM9WH+R/UeR14R4eLBG9I0h35LhEzP/newg/HGd/NVKS/w3 PyfxpXF+G/BPb/Q3SP2y6W1QrCXy15mBfj9C9QT9blGPmdH6Vb4dmM/L+jXs n4C8qQdEflQF0bc3VvTHdxQ8Zn7u4i98t+i28Mn0XpKvWztIPkwj3gpxnrnx 1wjw+LZPNopWuKSHL2mz/kC+4/psvnsz/wZ/J1nJ/k3Ie9xO5LfoL/qyPBD9 42YLHnP9GLJV+PnFZeG/zdbCL7YjJH+Xkx+/ib92nO8J/GeAr9fgL8aFhDmW B3xfY74F64+zfw7yWsEPI7OLvkE3Rf8n6oW5vk3yE/wt4eukvmJfLPxyBPuz 488M+HMV/lqO/x6CT32fZv4x/szN/tXI80N+R/g2A/qr+aX3pzr/A9S3oXcl PjLAz5uCJX6mEk9biK8/Tunjcyt4FuI/L77rMG9LfG5m/ybk9T0u8u0rib7i xGe0KT5VPhUjv2qQ7282S/6NSJB8XE1+HiNfncjfXeB9jr8acL7V8LfiAxfW x7B/F/KyIX/OCtH3mXzPMjt9vit+ev/35H/46gT82Zb69gf+LAbfOcN/19Gn /PPTKj1/fuX7OPNXWN+d/UuRNxX+HHpO9DWEP7+b+FPxfX3qUV3qkSP1aDL1 og31Yxvy/fDHKc5vDfHWm/yYyHdL5gtlkvVZ2d8ReTWRnwF9V6lHFRzS1yNV P7MWkHqaf7rU17vXpN7OqiL19/UnkbcD+xdzXsNCJb4s5MM68vcI35ctMr+W 9eXZvwR8XtR3B/qd276iv7FN+vqu+pFs9H8vQ6RfqdxZ+peS7H9B/Z0TKedj UfFbWeJ/B/kak1n4JZT+aYqDzPcMlfXeF2V/K/zXhP4jmH5pzGnRP9zUL6n+ zkK/Z/NM+r9eF2V92ZliX37Ow5P4cSLffOGHOXeFT+5dEf7ryvdr6ttdlZ/E /w7ia/UMkV8yWPQVfir6Q8qn7z9Vv1x3mPTPWcB7FnuK0l/ton+ZllHi2xF+ sOok/KHDdx+3CD9Xo78/4yrzi2bK+qX08xeIv2f086rf/Aq+A6Z+/n/lfsR9 7lSTyiPfdp1mazRiVL+XLzW/a65tZbUC3Vcl1LlVSeNeGLzGvtyYbj/qGM6d F/7TYVwDg/tjiM/s1mER/nW1ItqSiIDzLdS9OfRv+eI/W/cbpRXfNfh9WrV5 6j56elTfZnva+w80psxI/Fyl7zF1bw0rmUsvklzzhpbbcc6yulp/jfttWOUB X+pNzLvFSPb88r73yvMa9+Dw0r/X+lXZdtfY9WfFnKFpK9V9Ofxb2NqrK4Ku Gi3mrCrZM/mMwb06PDpCfg+wWfmf9er3Gmki59BIka/kzBsoem+WEjxK78Oc gnMB+BXO8l3Eruo7xV5ll2858YNvE/GP8oP3AvHbmG7iT+W3icXEz5vxv/Lz a87lBuelzsViOj81qvmb3UROQfbvKeIT7zGyvlHBTsYrViljusQ5aVlcr36s 9qiONnVDlcPTGwzW7He6X9yct602JGK8y8Ety4yfwd1qNG590Ng+uI//aJvH 2pccRTMPvnZW61R3tc+52wHa4ODpgWE+q7SeN8/WHdb7oTbR8/KVjL/vGbcW X8l0a0uMFpz9662qSdc0PdRnU+Dd38bIe9diS3R7q/0Klu8ZmWS+yzJZX3uk 7G8fLfK6hYt8v2qiL1dO0e8Knvbg+xQueN0DBf+cdWLPuO5iX+ZMYu8N7C9U VMYU/HPVFPfK/3m6yDnVIg+6dxR5yzKIvJvvfif6NhmqBXyQse3nrU2vT19v lEhZ/tFxx0ojsnG+3lHtr2j1xqz5VaHvLU0PCrz8cssFbeHpgm8T8/9f79n9 +YjWgQV0l3UjkqLbZLA0K7Giap/pOfQo14lf/lRM0raXj2xnvcHaEjfL89CY jdZ6hzF3r1cMzK/nmmr97ODnX1rP0fLda7bMD6go6xt0lP17iou88sifib7F 6P96TPDEjxZ8W8Eb80Xw500We16+EfussTcoo9i/pqv4I5T4PdA1PU+o+P7d WPKgzhyJ/0u75Zx2Bsg5lcRfy/HflAxN9peKD9f8rGR0Lvj7+dJx94xM0wu8 8fb/apS8nvla+xtl9NmjdgydEv5Si82ypH6+yaUtDY7leZfTyKfvPL7jlv/S spYSlwo6dW/y03C65/okcUpXvcPzaacbJLww3Pu8fP9ipoe+snWH+i9n2evz +a76XebXsv7XFdnf4oTIO4T8rllF30/0p14TPKHTBN9g8HqD/zSj8mdD7G2I /V22iT8Gzxf/nNLT86rijxfwzPMKwi/WIRL/Dc5I/Ockzlprco6F8VdQAcEz qvOR5mEtiuihjEsWZSwyxKGJJefy1Tlarapv+RRcts+Cv5X1YmPDU2ZdbW1x cFvR8IO1rx7knfFwn4aDdOu1bVxCj2/QZ7sPHHvkvK9evvOok9M99uiPXrYc n6XkfN2R75XMF2X9V/ZXQ16It8i3OSX6UpaJfl/wzAHfRMYy+DMO/14gTr8Q t6+wvwd8UJ06VGhn+jqk+HkVPL6zn/B3VXjFA14ZR36EHJH8CB4t55zAOT8B 7wHwVq9SJvDGBRt9r4OMQ20Gvtwwc60e7nqxYOacK/W8nwouefs2RJ88tmbH kGlB+oUr7kOWDDmnR3W2KeU/9ozeqaVfn95lzug7vRPL17Y/q/fkO4b5aNb7 sL8M8q4gfwj6VpYT/TsryDgXfD/AmwL+w9hTnPzfh72tsX8A/thBfbOY6raq f1tuzP5PndSo4wPPC18vpz7sgXfuwTv+5I83+TqBOAsKlTg4ij0jsefolZvd F90+o59j3B7qWN+hxiH919s/2/u/CNXHrgj8ubZGjKV81qzaj8mnLaWu5vQL mfDAcuZH9qXXdl6xFON7GPP9WH+L/e+RF4n8y4ze6D8JHm/i1Je4bUP+hwWJ PUHYd3+t2Ju7stg/6qj4ozD+OTUwfZ+j+otS9DlXekn/MWW41MEB16QOzqUe JMLnb8OFlwJPCi+lkV8lya9RxIk9cfIWe1dg74fMXydvS4i15Moi402/4Ki5 zUMt4Uk3w56Mu2Fxi7eyLXHust74xOWDH7r+n9/4fsD8M9ZnY/8r5K1F/kv0 VUT/cPCkuAq+XmMFbxy8an1T7Em0F/t2u4u9dvQV7UaLP56OFP/kGp2+L1T9 W/Br6QuTf0l/94+t9BcfF0p/0WyG1MlG1NUSF4TvS8L33vDW7zXCW1fIvxjy bwVxNJo4eo8/Cs4Vf9w4ljLUWr+uX2Q0NKd6lich+opxLe612n1ZD+H7LvO3 GR3Yfwx5k5HfGH2P0X8IPPHgOwze+eCfn3n6f+zJVEXs+0xfYLdS7P9gJf74 Q//bs8DKdH206o+fLZI++sIp6Z9/xknftiVM+jaf8dJ/nBkr/YeXm9TRstTR C9SDRtSDAHjNA167Q37akJ8ViLMWxNky/LUTf535p2eYZ/haPYTxBuNu5hew 3oP91ZBXDfmR6JuJ/nXgKQq+l+AdBf4abcWeV6PEvh8+Ym+vELHf4774Yw73 i9i56e8dauyZUfxrOS3rIrOK/8Pohwv7yvls8BI9VZIkHseCI5DzrQXOUM5/ MXYMJT4csPMq8dMKP1wmvo7gp2DGh/jvMN9nGW+yvgf7zyCvMPLbo0/VJ5Uf NcA3F7x1wW/3Q+wJwL5K2NvgtNi/Oov4Y1Go+McjQ/p7morLWO5po4jbldwT hqyQuC7cSfiiXiWJe48o4ZMg8qI5fJNC3ig++oe8egRfeZN3v+Gz3OTlS/ju GP4ZgX98ibtufFuYT2a9PfvTkNcH+YnoU7wyETzJ4KsB3ofgP31b7LmMfYPg x6TVYn9z+HEP/rk4Kv29VvFknUJSf571Ex49HCr16Z/rwrOtqNebqTNu1Os/ 8HRp6nUB6sxB6mMVeD6U+rmHOnCKMRX7vbD/tSmuvMnXEnx/ZF7V91/sD0Ne IKOq1/nRfwE8xcFXA7yHuA+cpV53xb4q2HuEOnPvmPjjwxDxz40W6d8BVN3u TT8Uz7vADe7FeZyl7g+lnzpEX5DCPWEZfU8q/ZgNfc+gytKv9aPv6M4YhX3F se85cfOEuGlNPo4nH6/Dc934HsW86h+j2a/6RyW/K/rUuM1R8NieFnwu3A9K 0/eEeok9v7HvHPb6VxH7D6t+mr7niund5N8+nP58aE/pM4Po37vTh9pxn5lw VPrUfNxnftHHbud+sIU+dxVjZ/BPCxP8qg8vR1x4kW8J5Jvi1bLw2EZTfVA8 95b1Y9mv+q3LyL/L/Sm0oujfCJ5Axkng/Qn+N9xnMvEu8I37TDfsX4g/tuGf uqZ3JnWvsWsq98WeDnLvabJe7pMFeBd59lnum3O4Nz34q//nPjqHe2F3xh7g +wg+N849B+dei3waTD51gKfs7gtPLYT/a8D/16irpfmexnxveO0FfWuxUyJv APILou8reZKB+/5O8KWC9xljKPfrJ9iXk/t1b+6FZ3eIP9ZwL5ytp3+XU/fs T7xfLOedTu8m7xvOvCftfCvvH325x29gVO8UCei/xrmu5X5V31vyJVMPyZd+ 8Opa3ntm3RV+bwi/n6VuTvKWujm1g/QjW6ij1okyn433ng8XZP8d5LkcF/kn yM/Z3Pd6k0d5yCP13tMH/B2wZzTjEuz1w/7TXcQfL+eJfzKa3jHVu8/EHvKe NqW4vAtVspf3tg9Z5N1oWVYZ/+FdadZake/Nu1Mj4vYs+VCXfHgOz3hVEJ7p DX+3gL9f0gcsWSd18T3vZgXoNzZNkD7uPf2XJ/OXeH8s6Sb7b10VecHI7+Mo +nzRPxk8VeGn8eBdBv7D+Osg/gvh/bGMtYx3eIdszLvZfdO7r3qHfM47b/vS 8k5ZkXEG75dP2b+IOK3C+5H3Von3esR7QXjkgrvwSDz8PBh+zsI76376gln0 E4tUP0GfZhUifVoB7gOj6Nsy5JD5IN7n/4yQ/Xc6i7yC0SLfGn0l0J+D/wUy 845Vg3fzuxsF/0Lsacw74xTsLYP9t3i/DWa8ZnonN7+P16uSfn5Ij/R+P2GK ZyuX9Dwxa0d6/v1gqmvNiqfvFxaZ+rA1/G+h+tuii9LfG+J+pv9fI9D0/8f3 sNnp3g8mm95lrEz/u1R2Sf+O+NH0Phtsevfe8V/+V9h9bUmbDDNO12nXcdiD O6Ns6yUdPXa/xJwmTgtHv6u8ZlHL+mNOPZ+/ybFCA6f2Le0bPkhokO1jqtOS qVOcC21eYj+xzEfn8sXPX2vctUnDh451agx65N3QsmlX1Q6/ff/9VvNqvdqv 5Cn5Sp/Sr/CY8c17WSTlXMeoxuFhHYsd3JAaEbN4/vYWS8trR6xurlm+oJnR psjwam5Hp2inanUOOL99jTHm8YtVHwueMoZMueb+NGWdkfFy46U9C5zUHtvV yNrNI0Q7cEm+j/jIfBvWd2F/IvLuIN91iej7HC76g14JHrP/ajCfcj5Dlo6f SmqHRlkvXfymneHusObbol7DtTZLPAt7ugQavxqEHzzqGKZNGjalQ52WcVqx mTPWxTYytIHXs8Y0jL9trJ8UdmPQituGA9/1Zsi8xvq17H+NvLnILzta9Fld FP2bwWM+3zzYswN8jp2ik2NKjNcajc9R/VbcCqNWou3SaQsitUzfZsx9tOae Ue3SDs+NG9KMXrPCCm71fGRcLPfIzqZJNn3b3B4Lb/600bfwXXmmzGdj/cav sn8O8iYhfwX6ZoJ3BXjM8afj/5CyYl9G9qeMyf716tuD2tEmm/ruCnhmvHxY b1rHeW+1eq8bNpvrYaO33zfqTZVtBfSo1Awdm0ytrd989Wpii5Iu+ie+hzCf 9krWl2V/JheRN8tL5A9D3zz8Gw4ec36cI14Och6DsDcVfI30xPV9xmTV+05u 4r33dk3LYWv/qU4eTSx7Fr0/uPjIBD3zhw2XQm1W6z20FXnLjt6kZ+c7gvmp rHdivy/ysoN3MfoyLBX938Bjzl8H4rsd8dOZ81kfJ/YXQ37s3/ZW55LqWzpf XNplRNFNuuuPm1N+h0bqK3rWf/Fx8h19qU35k85jHugr+Vbz/VjvZtXhP/ur IO8Z8gPQ54/+TuAx80tj8rEG8f7kosTTZ85rJv5oib60uAebd7+/oddpu9Ct VsALfVX97qnXK33Q95Ublu/Wzw//fqv5jA9lfU/2eyEvBfl30VcT/TXAY+a/ R/BLdfJ3HfmxkPg6y/m1xz910d+p8N7LDu0/6H1aOPhm9EjQa/askmdhlof/ fndmXq1X/g1FXuhekb9khuizmS76z04WPGZ+bgvfzb8mfNKDfLX6KvmQlXhb ynkux199wdM7n5vbqbBw/btL/MFHGwP1vnyr+ZWsX85+Fb+h5Ns39J2Gz9rA x+b6MRB+toL//OCXL+TvQPJjEfGnzlf5Lwl8822jqjdzHmpJ5bsO8/tZr+K3 O/JCkL8bfd/RX6So4DHXt3j8WRN7orHvJfbmwf4l+GPZf/HnX/AN/C/+XMb+ LEoe8n+gLwb9w03+VOd/lvr2gfioAz/nJz4vmOJT5Ycr8dcbPNVN8aniV61X +yORd474vD1N9A2dJvqvTEofnyqfvMgvL1UPqR/t4PMN5Gd78vW7Kd9X4K9/ z9eU74ofurLfQJ498sugbwL6PU35rvgpCr76CX8VoT6WeyT81hG+a2riz3b4 R+WXil91vh2Y78j6Vex3Q14V5OdGX2Zn0X/JxJ+K7x/C/y+oR/OpDwWpF17U jz7IX44/DFM96kp+WPMdzPxg1ruwfxbybJE/F33J6P9gqkeqfkZTT1V9HUq9 3Ur9fU/9tMb+mpxXLeJrLPlwkvw9zvcU5v/A5zWo79+RNxP5ndDnh/6Xpvqu +hEv+pO+9Cvr6V92sn8i9pZR50M85SD+q5SXfD0Ov7wnf8vA39epN5eojwuR Nw/509A3Ev2rTf2S6u/60e+9uiD9X23WJ2DfMc4jN/HTk3gfMVXys0G08Mk7 +G+j6kfJ36qs30v8P0feROR/pp+MR/9yU/+p+uU+9M/3mR+LPW0yiP9PES+X ie8u5GPiROGPM/Bdc/i5Od/9qX9VWT+O/c+Qd4nztUXfFvTXNvXz/yv3ozYj hmQp396z7oC3OecM+Dyv8dmPMqrfMwXMrrnqVVxE+7eeDlHl7kdUzhgd+Ofq 4XpL10/NU35cFu3BvBntBzzIp32Oc2j3N/ay06kXM/uEVKhlvNxxrmqJ8jUN /21NvpYpeKZ+826Le2ev2FV7V7vmxwVFRmivH3Zq0mfuwgbZPxnLW3r7GhXd sz0pc2S+sXyu5ejca7WcC+5ddbTZxa3ah7gxVSt92W2MKzLy/s8tIc491h1b V8QI0r4dnBzi/MDf8NQf7869sWjDLat2Ls1abadh2/DI0JTQXdrxkxf+5s3S p+G4A8UiquXeZ1S3afcwre0+rXKDd+UKzp3eMGK//H7DWdar3+8jpyrylRwn 9EaCR+mN2iM4L3US/Apnf+xaXkfsVXatwg85d4p/lB/sXorfWvuLP5XfFm8Q Pw99L/5XfvZZL+dyK1XOS53Lvm/pz0+Nan4J5+jAubpZnbm282hm7dff8P+M WtRa/5lB1Y3k1n+nTlpQx3BKHT2j4KNu2pMR3bbEjnTXbPtG7V3o7WMM7emS WM93vtE1clENvdc+rXrup4/2eG3XtmSNnbZhS4Rx7GS+hf3unNOi9r/M22lb jLE5tkymDAP2aPVrjC12r8Y1rZf/t4rzM0Uax1evy98k4q6WPW+JgNXrzxuN +C7CvBvrP9+V/UHIW4H80eh7nkv0nwLPe/B5g7eYp+Dfjj0D24h92lWxN0cG 8UM8/miPf1PfpY975f83xP0d8iAX8pzw37IOm3KN3NpDW8/Yp+Jmx4KBM42S JRt/v9tpkrFhhO3xabO3ad+7Z/zq0mG/1jH5a/ttly8ZkTPXjqwz7LzxpJb9 0ejcj7QBVlO/1c/9wohvWqbo+7opWjdfL78uAVHG5s87Xx0aeVgbFR053nNm grZhvdfXOolJWrYM67rmz/RCy79Bvusx3zxZ1m+fJfsjkFcX+QvQNwb9h8Az oYfgiwPvRPB/wh5bV7GvCWNj/LkGf3Qnfjf7p+cJFd8d4Ylz8MYi4qws5xRZ QvR1R9/7g06b67hs0koeknFPq7oOI/JFGCfv1e51rGi0UTlfQ/eEh8+1s471 O1Wv/VTrtrz0oKJZ8lqc5j5Y2iQ1s/7TudKnnf8UtlSN/Zo68/xH7fWSA0WK 6zX1tJA3rZvdzGRpMyJh4IUqzfQslx62qPM0i0Xj+yzzmZfKeu2u7N+HvPzI r4++EuhfA5769wWfa2vBuwH8ixhTsW8M/r2I/TbEbT344auJVxV/9IZnisEv V4j/mD4S/004R3/O0RY8EfgvstStXsEubzUvRj/XOWtr5C5t2WA9ceb6Rtks D/qPuTf1fIq2otW0GrnLlrMUWlUiorbtED3ZvkH1cteb6Etie5duv9Rf79U1 z/SpHh76jc2zn9T2CNBPHzg76MGrMXoM312ZX8P6n+x3QF5v5M8ZIPqaon8d eH6Cz6q0jM3xZ1vseYx9C7B3PPn/F38E4J/dddLXIcXPS+HxGvD3KXhlMrxS k/yYRH6crSbn3IlzzgXeKeCNG7apc4EMqZr/aBlbn65Sy7arr75mQuF3BWpN 0mt2KxTiXfyYvnBAmmXBlu36mB7djs7ocF2vs+B3iZiNIfr2L7PyOjW9r69/ PTCfXeaz/36r+bGsn8/+Wshbi/zO6Cs/UvS7e8q4GnwO4F0P/mzErYF9Q7D3 GPbH44+h+Odcp/R1W9W/E9TJCdTHWfB1bvi6FLzjAu+k+Un+/Fom+dOAOHDv K3EwB3vaY8+cEoOP5tkbos9lXNLZ27dQzGO9ZNeuzV+Wvq9Hut15c/XyW718 dCUn/Xyi7m+V4Lcs7YOe8M2p3J7kV/9+V2D+HOtLsX8p8uaa9HRF/xLw/CAv WoO3HPmfjD37sK8s9vbGfuWPu/jngKnPUf2F+yHpQ+rSfzyNTV8HB1APTsDn HvDacXgpZzHJL3vyaxZxUpc4Uf5ajL0OXqmH3v1+r5djbJvnQKl2Pq/1cxlz WdzevtMDHx0tuXfKY714yM2kxd6v9S18n2derVf7lbxlpvNR+ueBxw58NuAN Af+UO2JPIPZdnSn2rsb+avQFxfGP84H0faHq39zp8xrT352ZJ/3FterSX4Rd lzpZ/4fUyT7wfQL1YQi8pXjOkfwbR/6pODtLHCl/tMYf3WYnVewz87beldHr 4fCSB17u1t+6N81wuEKkPoZvtU6Nyp9K3llTXHujvxZ4FoNvMHhVveoXKvYM fSv2BdEXHKe/2ka/VXi1+KeXqY9W/fHJvNJH16Z/3pZH+rZ89G2LraT/GEr/ seei1NEG1NEY6oGqD2vgtR3w2nPycx75qeJMxd07/DUKf/VsHDD90pCJem/G YYwjmVfrN7O/BPLmmfhgG/oDwBMNvovgbQt+V/qCufRbLvRbp7C/OX1sAPcO b9O9Q43vice7+LE5/vdGjhvnUxA/ZuH8XMHhzfkqnCoed2KHio+52KniR/lB xddo/OTJOAT/Kf+OZVRxG2jKd8WjSp/yY23wXAefB3hVHEzFngv48SL2emJ/ KP7IpPzYMP09TcVlUe5p38jrePhgF3HtTr/74IPEfWn6tpzkRRn4ZiF5Mxs+ UnltrieKz1Ret2Hsgn+24p/XxJ3yV1dTPpt50lx/VF77g8cffHkVn4N/dIzY k/hY7CsCPwbUFPtH3BF/XCGvx+5Pf69VPPmO+qPDo0eoTxHwbGfq10V4uDb9 7gV4ejz1T9WZedTHevC8H/VT1dUlpnoTaeJNc/6rODtn4kG1X8lV4zz0qf5q M3hKgs8PvNfAXxl74rCvO/Yew/6j+KMl/kk0vQOout2Ad4xmvF804V78jrof RT9Vrbb0Bd/pt4bSNxygH7sxUPoKD/rGNvQdLRhVP1LLVMe9TfVou4lXt5v4 YawpztV5Kflt0deS8R14NPrzQ+BdBP547CmOfZew9z72N8UfLfGPk3v6dxPV Ry6iPx9Gn5lE/6760Cn09xfoUzvR/++hj7XmfrCcPnc946sxgv8i/lV9ckEV t+TbDPKtJjx2BR5bR324yrean8d6P/bbIG8R8rugr8co0a/uM6oPzwLeE+B3 wR7Vh/tibwT2/8Ifo/DPStM7k7rXZOadaSH3nuzcJ4dyL+rGffMh96Z53Ec7 c69qyniPe9dc8O3i3Edw7t7k00XyqTY8VUTxlIn/o6ir6lv1K1/pt+zZvwd5 qr+uhT5X9M8Az3PwlQevxtgTe65jXx/sHY799vhjHf75syP9u5y6Z0/g/aIE 9/DpvG+EcU+vwfvHT+7xNpVkPIP+7+h34Fz3c65fyJe65EsJeCgcHjpyW/j9 wV3h9xPUzdnUzXb0I6f4rsl8vVeyvjr9sz/ykriX3ONe4on+MPA4g+85eI+B /xl23WWshb3B2L8KfzTCPz6md0z17rOK97Q6vAuF8d6Wj3ejjIxFkB+E/A2c 22rOrQP5sJt8uAXP/APPNIe/t8HfrjOkLn6iLha4If2GQb/RlD5uH9/r6Uee 0EcMoK76I68Y8v3QNxv9Cs8I8LmCV73rTMae57wLZsLe3IzX8EdH/NP3Xfp3 X/UOWeSrvPPG845rw3vlS/YPZ/94zqUG59KPeL9FvF+CRzrCI63gZ1W/tlD3 alP3AmOkn8i7RvqJLPOlT+tJn+ZB/1uF7/X0cY70H1H0I4WRNwX5L7kH/+F9 YSB4PoBvPnjzgP8z74X1sc8Ve2Ox/z1+KYVfBiSlfyc3v49ve5d+fqjJ786m eHYzvd+3MvFvXVNdizL1C4H70vdh50397XTTvaGd6T4Wvz/9PXef6f0gzvQu 42d670ozvSMWMr3Plnif/t07W+r//38F/kc6yf9KwfzPFML/TqH8D3Wa/6VO 8z9VGP9bhfE/Vjj/a4XzP9e/32perVf7lTwlX+lT+hUeM74fS+tcidtR1ajY ze1+iW+tta+9/tkZU2yw4XGoWs4xP6dpI6/7D7/jOsk4Vjyp/O+jwUZRt/De ZTo90NrY37zR1OOxNjv62tpjNs+NAPe7dy5HJRnfb8j3naIy35T1mdjf95LI 64X8v+hrgv4P4DH7ryPzDjkP/iqmexiVR6TFpIRP1yYEprmvGb3SGH58/e4C K7caOcYuXb/r8Est9Ohlu3/K3TCm3uk7cUeeH0b7sW/+/rnz0DiXwyNHTas4 beFI+R6g5o/L+ofest/6tMj7tlnk3xsu+nKgvyp4zOebhj1fWd8qxGFH6YOr jV4XlsS5D9+p7c/r8+Px37uaVUzd9u8nztKm2++v3iqwkJ75beWu/7Qrrr+u EJM14nlWS0WvHoPcQ0pbStWQ76VvZL4b66221PvP/ls2Iu/9eZHfBX1X0Z8A HnP8peD/q/hv3EXZb/VkQkRcxhramMveucv9/W50adjO+e7Smnpwp8OHT1V2 0M9ad1vydMMvbdek/vuOTOmrp/VrVC40wlPfw3fHrDJv3VHWu7K/ZpTIsyo8 5T/yt4D3A/5tDB5zfkRckXj5f9S891+P7/vHH+JlhoSQ7PkyQorkuowkZK+Q vffOTvbem5AZWYlIcT0TQkbJSnZC9s7m+/m+j/v5vt26vt/PH/D56bydned1 rPM4HsfjPJ+3WzWPyXmMxN8uF0Te0Wl65NdPtfRedXJc6fK6hsXpxrcnN6wK Wrrabd0S/nepXn3S9nZBf3fqlV4XynLldYhegPkm1t8/kP0PXOT788grg/xn nNe9o6K/UZzYY67fT8Ukv53IH6tE1/+cT6qb+L8c+Z6DnjXp3riLHlh0UmYP z336ylX76h1yPa2/uVT4mcObU/rf5Niba9OP6E0vy3wD69vZ/2CgfD8Kf7sS X6ulkk9e5H9eR7HHjC/Zqcc2hyXf+5BPDziv5XclHpPR53I1186j9WJ0h1bF HZIfGpZcddZUXNDjlqV448WeZR7esmRi7sx6Y/aH8X2b2yLvOPLHoS8wVPSX xh4z/vmBH2sSpT5T0iT/R+WW/BrP+QUTnwboHzd0k2XP/euWOkFGgaZDj+qN h+6q1yzoor6ceQfWi7F/O9/7IW+UrchvRb01Qb8P9pjx+RL4lxV8yV1Z6vU0 9VCDfHvK+doSrwbY02eiV96Bi87pH8u9e9y74xF9MPMRrJdlf0XyoSLyck4Q +feqiD7bweAb+GvuHzPA59zZBf+cwJdf1K9OfSSSf4U4367E7xH2Ld/+2v2Q t67fZ96O9X/Z/4XvsyPvM/JD0PfDRvSfxx5zf1sWL/a79Bd/2oB/I/G3Ev6X JB51iU8v4tWX+L3AvkHMA1jPyX4nvi+HPGvkL64q+soPFP1Z4zPGU53/e3vJ B5trkh8Rz8nPMpI/XcinHeRXWkvJt6Hk32Ts6Uf8xjHvxvom9u/m+13ICyol 8veTn1/Q72DKT1VP/VpJfX0LkXrbUlTqL6ad1GNQqtRnKPVakfrNS33UIF5/ G8n5Fmb+Fftqmep91CORt5d+kZt6H3dQ9Ce2yljvCp9ygVfNwS8rP8GzmeDb ZPAubLDg3x70bSU+t6mv6nfJP843lPUj7HcEP9e6irxKCj/DpJ+Ggt8JDhnx U+F9FP3oJf3oFP2oOP0tjv5hrfpRksRjK+eXnXyrTX0ofBjIepvLsr8k3/f2 F3mF4kR+aVvRN+Ck6L8Wk7Efqf5ZmH56k/5al34bkCr9tyT9rR/+N+e8epWQ /LoGfg3sKfVblfpokF/WV7P/Ov3tIvKseoz/j/wx8J1F8IvDpv6u+MhL+Ini Kw+OCX9JjZHvbYmvVWY5n17k03zyv051qVfnEYIv3yrJ3J/1+Yov5ZN+fCI/ 50U8xqCvFfqXmfiS4nce8L188L9D7F9NfLUjch525G9u+GQC9TkePEnJL/h3 ZIjMfekvU+mHGvk3Bv7Zgfhlhu+WRr+niX8qvmy1VPhzbdYT8Cdtn8R/xiXJ l8nw8Sr035dFBD8ag3fjwOd69JN5Cl/YX4/6OHpO5I3gfF+gzw39r018/v/K /Yj7XHibkLulIpqWNEYwqr+nDXpfN62xi3a1VNEN96a6a9wLj02Y/+j3+L9t jNCby5/23NPR4P54vHJqyeGlMw3WstZ/7VH51Qh1b45wnm2k9T8xxfArPrrA 8Db91P35hP12v47zsozWCk4M63Y2y0F1b418eSh8647DZ7TqM+1Kd3Q/o3G/ jRx47kOphFnXjfctRw75N/dljXtw1Bej0OGF6eeN2z7VT5fOEq3u11HOeUcH pOZbpo2rE7bulW+iwb06arOn/N2um+xXf7+LnN3IV3J2o7cz9ii9j7Bz4wSx X9npFCh+nS8k/iq/4mZJHFLcJT4qDnmIWyDxVHHzJ85JxF/F+R7n0o/zUucy yHR+alTrFuQ84/u/1ZJm9pnYzvjIuO5/Lq5N+g/WzrkO8rmZf6gWezxTnOEY YNSIGvNwvz7DmPzxnt+3xXO0LvMj1jvHzTNWbVm84NLfi9qef67Of+IbqwUV 7rgodfxuo+KtCXeGvU8y0m8e7Ny7xjft+sMLbeZ3SzXSnMbYbP9iMf6mlb/Y 9WyKNr3lz/p+Xv9YSpwL6dqwzBftWiuZ27+S9eUNZP8Cvv+EvH7IT7AXfbXR v3qr2HNrsdg3973Y+ztS7B+IPxH4Vxd/X+L/LUYV3zhT3qv4z+ScFnM+x5C3 GnmlSkTsD94dYLRnDC1gvXDbopVaeoXPO9r+XqhZLvlVrnN1hxa+8UK5D86n tdwtJy6NWn1T85gb9it9zTvDpm3Atz+V7HSnCgtbXbaNNuZnb38rW8QNY3G2 Kju96mTS7Qtubbevh7Xl10ubCQ2efdTeJs2Ja/M0p27VI096r3/Ha2vuyrxr mqwPLiT7/fneKp/ICy0j8lPbiL7Xc0R/RAux5/YmsS/fFbG3dnmxvxX+5MK/ TIzu+D+HeAwhPktMOKHyuwc4UZb8n0meHeecclQSfYnou/DLxX5By6HGtzcy 3rjjO7yqX4zRelAzq8T7r4zIpEGP3/0opbvnvdOr29u3mlW/Nx+7Xr+o3ehj tfLY4bwW/wbWY1u0d9ZDwooVufawmOVtQ7+6z3920Fu+W9zM43Ul/VaplV+7 Deutd6jyt7b3WHd9KPOoD7K+gf2ufN8XeQnID/AQff3yiP7Md8Qer8FiX+B9 sffoDbH/83kZPfAvqJz42wf/r5C3r59IfK67Z8RVhR8/7AVngsDZaosk/3N8 kvwfwTk+jJNzTCFe74lfiV6lXEKu2ekve8qYJ/pZ/Vzvqlqeljoe+PWhq2Vt WMO39rla6l773gXOn1/DsvpPM4/tuQL0h/mLTsyZd7D+ffdst76DNumuU1NP +YbO0FPv/r61r9AevVN//z3txs3TPzKvzrp1sOxP5fudyOscIvKfHBZ9p9Bf C3tmYmdlxgbEMxZ/ZpCn1fC3AfVfYqHEYwX4+61oxj6k8HmBn+B40lbB72bZ BFe+gnP3Z0t9LPeW+niUQ875Annnib2Zsbd93tXVy3h5633yyRgQPnL5Cp+1 +nH3GeXcOq3UOxa2+WUYx//f/8/Q+2FoqG4dv//3pZKn9daZH/3b+kaU7ugQ Zpd7b4S+dnho/YfZLHoV5u1Zz8/+o3zfAXnnkb8IfQ2wYwF2LMW+R9ibiP0n qRsf/FsNHv3E/0zZJR69iM8MU99W/a8WfdKB/lgHvB6VW/B6YlnBnZngzjfq x2qp1E8+8qw1eXAOf8biT//cZXNmsj+pt2UM3nTs8YsJu/XzTbZV7P42XJ/m MCn6SblrlsSSvxf2unDC4p3S+PWbS7csvnFZPp5eft6iMU9nPUDt5/uTyOuC /MGMs9Cv4utLXfiRtwH1xP5f+FMBHK9YTvx9X1z8L0s86oRKfJxNPEfxi6/e wkPs4B9V6IMb6YOPsgqeB9AfKh0WXMoGLp2mvvZTX4fIk27kyUn8nYe/xVw/ rnbafsNSkXHV/Y83j1Q8YfGqmcVntfMVS7vDaZ/7Vj2nuzdqUL3s/f/5O/Nq rC9kfxW+z8O4G/lH0dcb/SewZwP2XcXeU9j/B39K5hb/ruFvvVvifxniMYv4 nPXOyAsVf/sFL8wLv5vxQvhFUH3hF+700Xl20idLvxe8D1V4D27lAbd06s+O +itfSvJoMnnUiHhcJh7tnboP7HsuTq/PmDje7k+5mif02+mhf2+2PK9fYt6V 9c6M9/neDXn+yLdGny36W2CPsk/ZG4X9m/GneAHxzx1e8M1D/DdeSjwGnpT4 lOmWkUcrflwRHj3ZSvhzJnhbEDzO6pbwjx3wkWn00Rj66FT6QQr9YCq41hJc 20R9NqY+K5Bn9cize8TrFvEqGzx4yb0m6/QmjLUZb7Ou9jfn+87Ia4T86ehz R/967EnGvp7Yewj7lT8zkuFb33L9x9/88NYhxCOghsTnjeneocbevhLfnO6y 7zd8dwtyPJ7J+UTA4+w+yvmtx44qnO8r7FTn74EfJckPT/xU9etMHDqSX9eJ 00NGR+J3h3kyo9rf2FTvbsjPjL5/0e+FPc+wryL2zsT+GPLx0D3xb8lz8XcB /pcgHh+bS3wWm+5pKi9HtJB6nxoleZv/geDBo/aS1w+tBS862EreHzkkeDKb utgC3thTNwofi1BX28GrWdSdwsVg6vIlow/xaUh87pB3HZg3Z30n+4MYyyLP 39R/HE19PR/2KTz/YeKhCdS1AT4m1BP/fxGPOqckPnO8M95rFU4umCH958FZ wVGHm9Kf/Ogz2atxD8nCPaSX9Le/uuB0nf3S/46C47H0x77g/BD652b6wEFG R/yfgP/NyKt65NVQ6lX1a7U+m/35VZ9C3npGP/QpfnUHe2KwbwT8Yg195kZv 8SfiT7v/+Petkvi7H/93Eg8r+syPGRnfAVTf3gQfakRft4YvJZSQvr8TPlUV XmCXX/hWtCa8waW08LFcR4RXlM0vfG04vGMMY1/8U3xvG3mTi7wpSz22ox4X gnPezP/Ce/KxP4zvByKvK/LHo28Eoz38sTa8Zxf80aqV2O/AvecPvC6S+2TJ IuJ/Ce7pcfDCxqZ3E8UjcxQRfv6Id5St3Gd6c78/CL/35Z7aifvVL3isuicE wnM7M47B/rPYf4O8iCAvjlFv6j7TChxLA8em0R/eqfsN6+o+o/jMbuTFm3ii P/p/nhZ7AhhfYm9Z7ou+Q8Qf5+bi38lA8dcmSPz/u0zisX4d70wFMr4zqXvN Zu6Lgdx7znOfbM69yJb7fAL3ppKX5T6ayL1qCGMNdT8kvn849wace1nq6Sv1 FA5O7QWnVL86Av63oq9+YF6D9ffsv83385HniPwGE0SfO/ofYM947PuVLPZe uCvjqOfijxX+Xeb9pcQH8d+J94YnxKdT/YzvcuqePZf3i3Tu4Rt43xjLPf2D o7x/fLSVe3w8o0e06J9+VfSf5p7qwf3Kl/tWbvAgkHvD8myCs03A9wbguyfv EMfuS99M/1f4yAjm+eirbdhfie/nW4s8q74i/xz1eTSX6F9Mnl2gjhph78kr Yr8X/nRhnIu/NfDfkXhsIT6NTe+Y6t0nnve0ibwLpfHe1pp3ow6MN5HfHfmd eRf59E7OrRz1bw0eNARXQ4sJzlhx3yrPPWELfbGkl/TFfvANe/iG1SThcQHw 2DPwY586sj+J7+/RDwKQ75Rf9NmDc9OwJw/16kOetSLv5uLPR/wbgr8DGF8R j9HE56Xp3Ve9Q/bhnfc575RqfM/3Kr5LOZf7nMty6r8p+f6Ud9zsQYIjB8Hn O+Czxj3Vn773Gj5RjnvCIHiaL+/p+eC/7jVl7sC9ogf8owH3taLIq4b8Aehb yntLr41iT9oSse8u9tpRr1a8Fyr/+uFvKv4/Ih6J/8s7ufl9fIxp/ZEp7nNN +bzU9H6/1SEj/qaa+loP0+8GvUw87J6J324x3Rv0rhnvY89N99z6pveD7X4Z 32XqFcr43vXT9I5ofp+NML17d/lfflfY3mPlShvXCOfEckVL/1mSz2VBvnY1 s/bQXYcOG1S57ZAmdfZuOvK8fLbydbd7B5fRnj+u2+XqxjcRzhPd9h6ZFVB4 22u31Fd7PhjZ9XoPs3QcmZBlVD33x5pfoTIB/52rdbVffa/kKflKn9Kv7DHb Vy+f4fKnxeNT22wLP6l94kv96Ym5DqcXttZ8uwx1XdK9vBF+/OtwzxoTtJ8z TnapXH+jEbW4/cgXLQ4b1vlbP9t4drixrP+vLw8qHtScAxy9tZz7tFHM32eV 9aXsn8b3CyNEXiEfkX/6uuhrgn4n7DHHbwzrLm1flWhUNP2UdslB+5TqZpxf lOfll62+mvXaw6n7N2w2Pj3uu7pZYLTmsKCyf7mrt7UeDfcGXlu8V8s8aXCQ q1uiMX9ujW9XQ+KNwszP1pf1O/Nl/xG+f4y8nsj/i77trUV/H+wxn+9S/PFl /56pmzwccw7Vzl7N/aPpwYWG9/aXr5Pmxmj/pjueqvY0yWhv+8/CPnO/G4vH 5RrU+dAho0nvhs3fav/ov/LX/+R72kZ3Zu48QNYrs3/TF/n+OPISkd90muib cFn0R90Qe8z5d7+TxL/xQvGvGN+nrGzdaVX8Xu1sUNPXW06kGC51Z+ccOeW7 NnKLs4NDbVv9WvubNyqNLqTbO3m6JEfX1d/W7h03YJmnXp55MOsF2R9TR75v sE3kNV4l8q3iRd9l4nuWfDDXhwf5MpXzCMDfQsgbaFNGv/0rj57abc759vtq Wt4FLuler7pmefApvsjswhP1kYujz2/U1ui3FtUKL+y8RZ/A/Bfra9l/iO8j kafk70RfJPqHYI+5fruQ30vJn86cz0j834z8HOVXt7myt5qlSMHWEWHvNusb F53LNHZVjF6mhX2x+jev6yUaBg4ruD/pv/MNrJdmf+UK8v1p5EUg/yX64tBv wR4zvsRQjwWoj7rkUy/O6xjxyI2+LMXid2yJj9ebf45Kiuv3VB9VLryjQ+Br 3Xfs3yvhg9/oo5mr9RzsL8f3fsjzRb4t+qzRvxV7zPgX4CD48aix1Gf2AMn/ lh0kv75xfuuIj9LvPSTH60JXX+tHck73XDYzRZ9tc9zeY1eyfpR5S9bVfhXf NOTVJH/vjRV9jXXRP8pG7Pn/4HM/wbvGEwVPEntJvTajHsaSbyU4z5HEKxx7 xvvWLP341Sn9a+svg6/dCdInMVf2qnirfBiHvOLIbww+/ER/e/DX3D9u+As+ 554j+BcIvti7SP0+oj6Kkn/qfFX8PmHfrFpDB1m972dR9s5jvTv7Vf7eRN5D 8OEp+jqAv1b0C3N/G0M85+FPTvzzwt8ppngON8XTj/j9xL4ppniqfC3F96OR 9766yG+Jvtz0h7WmeKrz31NA8qE3/aUB+ZJM/vwhn9aTX83It2bkXxj2zDTl ZwvWW7Bfff8VeYuQb0c/SNWoj5wZ81PV02XqqxL11on620g9JlKfBanXP0X/ /+u9B+c7grnyx5p6d+D70ptFXh/kt0RfOfRHmepd4dMP8CoN/KpBf3Sn/ySD d0XKCf4VQ5+qf5UPxci/kszVelH25wN/Y5Fnjfy34Gc8+mNM+KnwfgT4H0c/ OEV/8KRfnKR/PES+hfj+4PxUvl2jPsYwf8m6L/sT1ffIq4v8YPRZ0D/I1I9U //Sin/rRX9Po773ov3mQVwj/p3Jex9tJfp2iHs5Tv5mov2+sd2P/CfpPbuTl Rv5A9OVF//XOGfu74iOt4Sc94CsB8JeR8IMd+FuefKhDPh3tIPl/gnqtYiv4 soS5w0BZz8f+NM53F/J+Yd9n+Jkr+juZ+JLid5/he9/aCP/Lzf6Gi8U/xU+e kj85yPfDblKfD8CTBfME//oz94J/foZ/nuX7QORVIn4pcaIvDf7728Q/FV/2 gj+3ZX0R/uztKvF3I19Sye8Q6vHy91b/wY+CAwXvaswQfB4xQOYR1oIv69l/ kO9bIC+J8z16TfTdQv8kE5//v3I/Wu9cs0Pyz0G1j2wsHhmRM/nUSUb1d6v6 OZMyfXtR/+n4VcuKfv9Yv9s/26b/bbnf5WylhQWH3/h4ar5zld2Hr14/1dmz d75qu2JdPXoOqn6uUiFj5bMNWf4mfznVsPdU9ywHI+skTnjmP718My2tT/Hu npsGaEWHn5iUS5tf1yt55cNBtQKMYrULdW7XbInhdqtE88p3a7j9rhQZ2O30 dm3QcLfjp9tsNy7EHqj2YtQxt2UNd5VbE7xX6zCt/NgD3j2M3ZuPHr7fpEi9 oemBlWd82mXcOzrm7f6V27SuWX/mPLy1a7172cfku3Z1l5Hquiab64Nt2tTd d4OGFJ5Srwd/f8R+9fesX0VOr9EiX8nxQG9t7FF6E7Fzu7PYr+w8gl9xfcVf 5VeWiRKH5Y8lPioO3XtJ3GZXl3iquCVVlDifJ/4qzifc5VzOc17qXM6bzk+N av0actL43q/V0/gnY7+fSmNMnd3MfkKRbMazpsa3ukuKGSExYyeWPNRcS2jl l3B5eEPNZk53l5ofxxrTn+c8csN7nvHx4Jyhb3qFaO+cW/3p47dbezEt26SO 7aKNiTk2PK+xK1qLbna8QrsJlw2tTM1S3cst0/yHPFqXmhSn5b3bL+bOpyij ss2UFmP2xmmFjvc+t+HQCaN3Hpn/SJb1F+xv5CjfL0NeK+THoW8++ocdEntq pYl9zbE3CPv7nRF/GjQT/4bOE39fthT/rYjDBeKTZMp7Ff/XTnJO/amD5V4i bynxe7X71ZQKO1pqDxlH9W7zuFvwBCPOr+fz3smjDJeRtddZVdyqvWjUrobu v09bO+V5leZ/zhmHViYXqXjzglHe9piDT7NUrfS1Y4fj1qYaC8JfRDSb80lL aBP3dOTSCCM0YOwWr1FrjXXZLtX8fOWJVvVa5kNWhz9pI3ybtsgfk6otYb6e 9XFrZP+flvJ9F+S9SxD5r/OLvibo/2eq2LOmsdi3HHsfYP8n/DkaLP59ZlTx zNxc4pFC/r7+NyNOqPx+mSx1sAPceNJSzmkNedcOfX3RFxPeZEXIqvVavmMy zi+1bU+mrobhdE1rFz03wagSdLFD02pvtAlf+iRub5mijTj5Zb2jQ17LP02d h22sY60nxX6p+j7A1pLcx6H/hktPtO1WNYtYH6ytnyv5feZsu5+GMTPJf9E5 Tz3Lo96Zitp9Ng4zX8P6Ofb36y3fL0HeY0+R3xl9udEfhT0LsE8rLfa2w35/ xl/4l2uC+LuUPM3SWuKRCj6EPMmIqwo/xoIzvcDZj9SnMVvyX+cc00fIOfbB nl3Eb9PuKb9G732vjWaso23cVrxraUvb42e75FuSz7LAe3k/pxJ2esLPKSPD UspZ7i/3qPhj4SA9z5vGbb27eeoNTn9LPT5+gW6zbkBZ/yqD9CvJNjtavNig D9sSN3DLp9F6InO13pz95fj+NfIWIn8W+uzR3wp74rHvKGMR4hmAP8fJ02n4 24/6dwAPuoK/O/pm7EMKn8eD4+PA7z7gSiFwxZr6iKJe73+Wc27JOf86JvZW w94Xm+sXPjLbTh+2VcZR1zcUqRo2U2+YZ6v3zdyTdSfXSoZr+zA9IdPq1V4d d+iHsjbK96fcFb2rj60+LcsJffbDGamFl97Wg61rjrt2OVqfxVyth7JffV8T eY2RPwV9U7eI/oeMbbGvKPFdgv21yNvc1P9w/PXG/1PEI5j4JDtn7Nuq/w2h T+6gP44Fr1eB1znBtVhw5zP18zVK6mcXeXCvheRBTfwZiz+bMzmfL257Qt/C 2EAbbZT5dE9P/OdIxdv9b+vxowutc+36Uv8Wbun0Z32qvjb7/YSYYW/0q0Xa vY3a9Vxfw1ytq/3q+4bI24p8Nfqjvx72PCBPlb2e1P9t/KkAjlvh7x3870s8 PhCf5iaeo/jFr/nCQy7DP+ZWkD6Ys7n0wT3tBM83gucf+wouxYFLjtTXG+rr AnlSmzyJx18df4t7uiZpk17rDoxvx4w6GdwqTde8unzuvviVfqtLzVF9ft/T +29q9SCxSZp+m7laf8N+B5OcRshX+v6rH3seYV957D2P/fnBaR/882qNv/AA 31ISj47Ep9+kjLxQ8TdneN7fL8LvUu4Iv/g5WPjF66zSJ2+MlT45pITg/Rrw vhi41Qjc6kD9Hab+VB5dJY904vGKeKQtSJpds1Ki/pyx7po7rzwW7NEH13Cf Hd0pRq/D/AXrLxnfmOJ/1ZTXCi86Y09D7CuEvfuxP18p8Wfiooy8IQB+ZQ0f WwiPjjHxaMWP68OjU/4R/vw6XHjbr9zC2650E/5xD/5x4YH00f300Un0g6v0 g+3gmsK5S9TnaupT5dlN8mwo8XIhXiXHFVj0fehkvRTjv4zOrA9hv8rbAchT 9X8FfWacVf1rFPaewn5veEEH/OsE37oDb7WCx67hfnHWdO9Qoy/xTSeODeC7 9shx4Xzi0FMZ/nECO0pzviqOHU39QuWH8lPlo4qjykdX4qTiVYH4qXysx6jy 1lzvCle/o0/p74Y9Ko4FVT5ivy/5uBj/9iqeqvwnH2sSx7ume5rKy4DpUu9D yNsx3DMmkdfD4cveMyXvZ4AnUdSFK3ij6uYieHSEulJ4pepO4Zmqa4WPz4hP EvEZSN6puYqf2q/qWuGtuf8cNvV1DftKYW8c9leFh3pvEf86tRJ/mw8V/5eW kHjk4F7r7ZfxXqtwciL9ZyU4Oov+dBmcLUP/mgMOF4RPHwSnL9L/XoLjNeiP LuD8ZlOfVv2mmMl/c16p+lfz+iYcVN/rJrlB6KuO/pbYo/rgNey9jP1W+LMN /9S96xb+Tyce24nPANM7gOrbjrxj5Kksff0jfCmXv/T9vfApT3jBUvjWVHhD R/hY5ZbCK9bAG8fAO4YzKt6j+OM18kbxQVWPs0y4OsuED4dMee6MPCVf8a1h jHbY0wXe446907G/Lf6Uw79p+PsQ3nOFeLyH9zwyvZsoHnkAfn4cnlkF/t4H Hrocfl8ZnroR/h8Dj73G/UDx3M6MMdifmfh6kBep5MVVxaOpNx9wLBYc20V/ uMhc9V039l/m+7vIc0P+P+hrj/5O2NOa8RL2nsT+OfhTAP8W4K8P/pchHvuJ z2bTO5O617znnekv98JtvIO4cy9S7xGHuTd15D5anXuVul+FYt967PPi3Mdx 7tHUUyT11BacSgKnVL8KAf/H01dDmRdm/Rj7Xfj+APK2Ib8R+kqjfwT2hGDf be6zvxh/8l7QBf+O4G95/J9IPFKIj8eDjO9y6p69s6q8XwzjHr6b96Mx3NPT eP8o0Efu8VUZtxLPdPRP5FytOddJ1ItGvfzk3jAdHBrWU/B94inB92GlpW/m oW8eg49UYD6Lvnp2vewvTH9oj7w7yC+CPk/0Z1b2YN9a7B2C/Wd4n4hgjMbf ZvgfRDz8ic8w0zumevcp7CfvaUt4N7vKe1utufJuFD9HxqvIH4h8R95FRnBu namHZtTDZnDmDzhjA37vBL8LtpC+6DpM+qLnP8I3fHl/PAOPG8D8CXykDn10 Ge9m85D3mXezJPT1R78b9vTEvtzYG0/eBfGu9Zp3web4O5kxnXgcJD51/TK+ +6p3yJu889rwPv+W98oGfG/D9wc5l6fqXHhP2ss7yBfeiTaBI6/B5z/g8yj6 3kj63lp74RNx8Inp94SnvYen/YD/fmN+HR5nzf4exeX7rsjrhvyH6ItA/3rs yQ7OxVGfU6nXXLwXXuadeiH+huK/TlxKMzpsyvhObn4fL21atzPF/b1TxnyO fJ4RJzqa8Pe3qa+1NPGFhAEZediqcBO/rZPx3uARnvE+ljYq4z23ken94Lzp XWam6b1r4qOM74gdXDO+z742vXu//F9+V+B3pKP8rnSM35mO87tTBL9DneB3 qRP8ThXJ71aR/I4Vxe9aUfzO9d+5Wlf71fdKnpKv9Cn9yh6zff3aXvt78ZKT UadpWMC64NZa0aY9nvukDDEaBP/u8/brHO3XoMWrN1VdZzyb2ldvO/mUkat2 4/m/G97W5rzoveKYTbLm5eBeu86vu0a+eS2rr77/whhSROa3Xsq6K/s78/3z gSKvyB6R3wN9v9C/GXvM8RvL+gH7VS0PdBhmDBxfMKpfp3nab89hIyb+DjLi PJucWTZvi1br4P1eXlb3tC/W/aP3t3tnWHfp2S9z329Go8/n5yYtvKa9t7Ss vab5Gy3ihcxXdpX1xlll/64D8v2ehiLvfFORvxp9LYuI/gvYYz7fnPhTl/17 Ky/dXH3bDqNxh+xxIdcitYvBEw/6P9pujOi+aonDmpfGyZNxjRuOddDvD4xr sN++lJ5etEay2/qCljFXBjYv+LaiZY+9zP0GyXoq+6O7yffpW0Te7Y4i/yX6 bqN/DPaY82825+uEfw+w79mExRFbt8QaObes+Phu3WsjvdAq935aNf3e82wB 0esK69lGD68af7e0ntSsl21rm156xLrWg8rUHqqPY+48XNYXP5X9MXzfbpvI uzxJ5B9B3xD0b8Eec32cJf/2N5HzcNkj/sZi38+Gj+q83PWvHjBr24q9Nz4b EbNndup6oJeeVqpppUUfVuhVd52+lrnvLj3U8Gu6Itc+vSnzHKVlfSP7A0bK 910aibxVgSK/xF7RF9dU9OcdLPaY6/cP+V2O/NvtK+fzAP97Yd+Wl9X6Np49 Tr+VqXHbHC/26d+uxlhCXlh07yKHNtm8jdS/HAza/ebqYb0K8zesW9g/h+8D tok828IiP7Gn6HM8RP5PE3vM+DK+ltTj7EyS705Rkk/T3sp5uRGP9+i78S6s ab5c0Xq2iMhs9U4blvxLYvp+3H3Dsm7Wj/aN3W5aijDPw/oH9pfOLN8HIc8b +b/Q551Z9GdzFnvM+Fc5TfCjUmepz3zUx/hxkl93Od+c8RKf0+hf179Ng7iB iZawfiv7NJgfqm+J2HzTY2ys3qq/zANY38P+ZOK7E3mHR4l8nwGizxP9dZ6L PWZ87lpM8M7rneBJGPUbTD3UIN+qcp4liNdf7Gv5vLPHpzLn9O+dr9xz3XZU b8z8A+vl2D+a7x2QZ99c5G8sLvq2/xb9QY5ij7l/7Aefl50W/Gt3VfDlJvV7 kPo4R/5t4HwtxC+Lj9hnE+pfvN2zaXoe5mdZn8n+wofk+yPIK7Ze5Huir0Ws 6C89X+wx97d82O/0XfwJxL8PxLMy/u8lHhWJTw3OVyd+L4lnI+aNWH+2WPZP 5/tyyCtAPF87iL56xLOrKZ7q/IeSn0PJD2/yszj5+Y58siU/O5ryMyv2hBK/ xab8XMD+Inx/DnkLkV+L/JzYSfSPeZYxP1U9XaG+utAPR9A/Nr+QetxPfeak Xl9Qv/nRX5r4zuV8HZkHs/6U/QngxWrkjUN+CPqmof+7qd4VPrmAn/3ov7XA zyng56O5gncNwL/n6LMhPtU5zwXkb1PmadR3QfyrwvclB4m8GwVFflAX0We/ X/S/n5wRPxXe16YfTW4s/aAv/ffPVukXT+kfvaaIfBWPl6Z+tJr6aMD8Cutr 2d9gnXxfHnme9Ls9IaIviX7Uy9SPVP/8QT+NoL/awQ8+0X9/Ia8m8bV+Ked1 A/w7S721BB9OMn/GeqbXsv8W39+iX16YLPIrdxJ939DfZk/G/q74SG/4ySH4 ylH4S27sdQ4Sf0vDd/qRT37U24AiUq8d4Es/4EtjWE+m31yCb/XYL/JOIL/z v6LvL/pjTHxJ8TtrL+F7/vC/fewPx7/tHnIex8ifZuT7Ch+pT9cPgiePowT/ OrwBX1gvm0X2T4E/uDUTeVeRX9cPPol+D6+M/FPx5Q3w51fw03b4c4986Ef+ GlMkv2OpxxXgWXn6mTFX8HljUZknsl6F/Y7wiwjyryDnm4I+J+w7a+Lz/1fu R9znwgdZNfq043JpYwGj+rvz71rjJ7Z316a+P1vw+auGGvfCYy1Kv0zukNfH 6PZoeNXSAT0M7o/H+5zoELb671gt18StdZyjJmrcMyPehU6euPjoEsN5zKwl TtbzDO6jJ8pGxxxftjdA29Ji4LE+x/aoe2vkshLVdi91P6IdyJqeqWT0BY37 bWS9wlMrPNp2x7jlG3g20/mLGvfgqMoVO3hOG7/HGPxlxuW5lWLV/TpqaZ5j oYEjYrUCIe2cli+9bnCvjiqQS/5+4aPsV3/vVVPklOoh8pWc+ug9jz1K71js dMJ+ZedRQ/z6OEr8VX7FHpY4pBIfFYcNxG058VRxO0eck4m/ivMWzuUs56XO 5brp/NSo1v2RU43vc86ZW3fD3S7Gx9kyFrvs8DNo/zhtgNeD9FsHx2tpbfYt 2VZzuVHj3XnfvLmWG/M7dClZdM82be0Qjx1Oe1dpQfbhZR8PWGHM2RSW7Dni ohbwYL7rxJ/xRty0Til624dGsFWB6Fr7fmq5rQuP/Lwm1ZjfZUTRK+UvG3Nz WFVrm++J1qqji4PFsLb4VrlW9fefj1pIB5n3/kfWL7SU/RWzyvdhyGvkL/Jn 3xd92dEfbSf2nBgk9tXqKPbewf7cbcWfpfg3E3+nEIcejOuJT4Ip71X8i3NO PTif5sgrj7zBz2KKh8csN+YwPqu7v8ixcSFas3PNc/0M36llj5nu1WVrpLEk PF+BPQ83aRF1i1ZafeeCNvVOpuhMo54bHwvNXeThk1d/ljg5+efbD1r/OS+S vFMyW7xi9LJ3grLoORuuGdowb7rhnNPBcUL9OK1ryc5Niwz7Ry/9au6ynX6v DFtHmd+rIOvlvWS//xn5/jvyal4X+cfRZ4X+NnXEnvOnxL4xZ8TerrFif3U3 8Wc7/sUyzsL/7cRjK/G5YsIJld/1qYO25H9fzuk6eTeXeP0ifrOyV/D8synS eP6PjA3m/i6z0HGWtnue3bRf528ZgzqEpR25UESf3ON5yVN1f2m+1n1PWebn 0F1aNqi1vLqj5f6SpU2c2zXWd1+MbfX3VUlLYOfaBWcHdtTz7Z5y9plVbT3s V+3H62f20jOVGzeyfXYPPYa5+y5Zf8T+oDj53oK8ycj/lUX0desu+mOwZ+0C sS96sdh7NYfY74Q/JYnnEfytSJ6OJh6biM9cE64q/EgcLTjjCL64UJ/7qNfM x+Ucg8m7ncSrzTSxJ3auRR/kYaNHMr793GRJdKVClgGploQDL50tN1afOL+w Smd9SN2TW3StuL6mvZ1TWZcZ+oarxarf1Ebo5RLSL5xqulnfXH1kwauZZ+k5 swdseu27Vz9eofeLV7Hz/zuPYb0E+z/z/XrkPaon8jegryz6fb6IPZfniX3O 2Nlmh9h/FH8m4V9J6uoZ/u8kHo2JTz9TH1L4fAEct6UvjQdXUsE5b+qjn5vU x3fOuT3n7IG9L4mfT+TWau0CffTWjD9t3zeZt3qdvvv0xzSrUav0LqWXtV82 /7juczj41MTEUD21e/aR3S79zz39X4+HVWtF6aXtSlVYMyNc/9ugfOzMJ6d0 O+YhrL9hvzff90LeDuT/Rl/KCdF/ATtKp4t9m7G3AvY/7Sn+tAGP3JLxt6j4 3yNQ4uFPfNZ7Z+zbqv9ltqZP0h/bTBG8fgReT04Q3LkE7nxrLvXjnE3qp0F1 yYOP5MFJ/PmMP6dO9vA50T5KP8OYKXzEz9EB2/SV/TfsHtz5iH7Gs3fB0W4J lv2Txn4d+eyEpUmwl59N65sWK//2i1NDYi3uzK+zHs7+8XxfC3m3kG8w5ikg +o9jz7A1Yp9bDbHXHrxJayH+RBcW/+yvib8pD8V/26kSj5CSEp9p1hl5juIX 9boJDxlRUPjHk8zSBwv8tf1PH3wVLXj+dIbg+dALgktFwaW21Ncj6qsLedJI 5Qn+/j0q/u6uNObdLv/rlihG69QBHRpdPmHZt71522jby5bJLVMr33ocoztu /ZB5UetIyzjmO1hvzP4Yvt/KmIt4rkWfJ/p7Yc827BuAvfbY//a8+FNrtvj3 BH+X439X4tGskMQnvGtGXqj4m9dn4XlB8MS72YVfOMFHptpJn7xHX/0D3vuD 9wfArQrg1l7q7xH1l3ey5NFF8iiQeCwgHocSqs861fmivpTxnHfSpBLdIvUy I/+EdP0Qqycy38v6fsZFfH8CeaeR/5S8vYV+hQdlsG8F9hbD/nv0txua+Ofx rth//HXuL/775pJ4TC0h8Tn5NSOPVvx4FTzaBf58G972F97m91b4R3px4R8+ 9NH99NGz9IMf/0g/+AWu2YNrL6dJfXpTn3e3SJ4NI8+qEi8L8eqUo9XLMiM3 6G0ZWzIeZ700+xfzfWHy1g35b9BXHf3WDcWegvSrEOzdgf0a/kwsI/5t/yT+ XoHHNqwq8XDLJ/Hx2Zfx3qHGN+kS3+U2su9HTon/R+Q4f5XzKVpK9Hzk/CZj R6Cpz57m/IvjRzr50QI/w8kfFcfD5JdBnE4xNiB+l5mfZoxU+cj3G5FXB/lb 0VcK/cexR8VxCfZGYv9+/LEvLf65vxd/XfG/Gvl4j/vbqK8Z72kqL0eDj6VL Sd7aZRE8eN9b8rryacGLjeT9WfCxHXXRF7xpQN30BI9eUFdzwCtVdxHgWTfq UtXnbuIz0pSn05ir9fbs92Lcj7wTyN+Cvnj0D8QeT+yrh71lsH8u+OjnJv6N AR8/DxH/ozNJPPrZS3x+d8l4r1U4OYR77UFwdAz3t17ct0ZzD/EBh3d7S387 DU6H1pb+dw4cV/ymNzgfRf8sQR/IzngY/8/iv8qrpuRVSerVi/kh1mPZf4Dv f9G/vjAmoE9X+rEnCvtSXMTeVtifDf7uiH+j8PcAfWYm8ZhLfOaY3gFU384C f/wH3vNzo/Ald3jP5yThU9vhPUnwx4pZhTfUgY99h/fMha/ZwTsyMd7Ev874 t4S8eUveJFOPWajHZHDORvFJ1u+zfxnfe5vOKzv6rBkD4JHtsW/zE7E3NbvY H9RN/PlbUPzLir+P7oj/uYnH8OISnz3NMr6bKB45mfuMs0V4ptNg4e/5CgkP 9Y0Sft/PVXjqae5X6+CxC7kneHzl3gDfrUM8T2D/YfLCIC+6U292pj7/ln6V lf7wkXkw6yXZ35XvDyMvDPn54InB6M+JPb7ca95yn6mL/YncZ7y5Z4SpdwIH 8T/3UIlHyml4+JiM70zqXnOL+2II954T3CfdeBepyn1+L/emotxLR22Ve1VJ 7lcuxHM29n3k3IfB1/dQ/0OopzXg1Clwai/4vw/8j6Ovqvv1ftZPsn823zdF 3sRaIj8Cft2XOsmDPV2JX3Sk2NvrsIxOOcUfx7Pi30z8XYj/34hH4TCJT/FJ Gd/l1D37KO8XQdzDN/K+UYl7ejjvH995p3jHGM/9fi3xzUae3iBv7/lKvXQD D1aCq87gUCveKULhpTPgpbV430kpK3zksYPM+7Hu3Ej2u/P9llkiL5F7SRr6 QnknGVZP7KlI3l3gvece+RDP+0Qc41v87YD/94hHCvGxfpzxHVO9+7znPU29 a67gvW0D70ZbGHcivyzyc3NuKm8bRko9JBWWepgMznS6JzjTG/xOBL+teTeb 7SN98Sh8/xW81eeZ8LgI5jsdZb1sZ9l/CR6xDXnLuM/58d65lXeBJOrzb5jY NwN7e2H/EPzJ9lz8i8Zfg/EE8UgnPlYfMr77mt95A3mnVO+V6h3T4Pu5nMsK ziWEfF8NHowEV+3B2S3gczdHwedW9L0N9L3J8KtHFYRPhHCP+pwTHvuv8N+k HDJ3Zd27suyfzfc68ny5B6+jXx7nvWVtjNgzDZzLRH0mY/97/PmKf0/xdyf+ 3yYeyYyvTe/k5vfxGNN6ium9fZfpXf6U6f3+4OiM+OvVPGNf62HiC3a+GXnY uM8Z+W23vRnvDcGfMt7HCpt+/7hoej9IN/2eEm9670o1vSM6Ps74Pvve9O6d +r/8ruBUqbZjn0zHnWf71e29YlxeF9usM+c8vlzf9Ve9sONjfDzqzHhSeMX0 12XrNmz9flKzzI/r5rTU7FD5r59bZc9W277WfOW2bWnvy/en1K/XJzW4svWI EfVmXrnaadRe///O1brar75X8pR8pU/pV/aY7Tt55PsPD9cvp8rbDzjkfj6/ 1i94zY7H1qWMpBFba5zZ6aZNiSgd1DnPGC3z0GbBeU5uNXJNXDrhw7sQI8zq 9fC08Qu1p4dLBtue2aV9q/e5RI9v67SyzBezfnyC7J83RL5vcULkLR8l8iPR NxL9uY+KPeb4VWLdqe+eUiXSKhmhYz23Xt5eWTu5rVauCjXKGYtiXA/3dtxk LBvRcEKCEaP1Ds3uFjjshjYzMLJ10dXLja/rm1dbFJpgZDkWXSSu4EXjMvP1 W2Tdif3N+b7HGZHX7qDI/zwOfeifgT3m862AP5Wxzy93tQmpZ9ppXsXa/4if PcVY1jg25mvQae3Gt3cvukbeMwbuXrYhatlnw8W2xd63S25qPWfb9kuZm1U/ v3DAwsKrc+q5mbdnvT77m/L9H+RNLSryN6LPBv0Dscecf5OIf9lQ8W92Efn+ jZv9vWsTdmi+3Y7djk54YmS9bGtV8WYm/U6nQYOdnQroR8pfDfzxtIhefdRz nyTvBrpfrR/rPR299RrM97G+kP2WS/L9DeSdQv4L9PUhvvewx1wfruSLC+eR hL9XkGc758IFB8f8+uwLG/8tdqam5Z9Wtg/nONe2+Hdv37XX9yl6wVcfjt6f sE7f9WPU5LjpQXoR5utZ39tS9rfi+wbIO4v8l+jrhX4de8z124f8rkT+PP8q 57Md/6sif3Kh0INz3tnqS4L2DvAeEqQXDJufZ1KPM/rztQuMCpVu6GNO5fXI /CRJf8lcra9k/6MC8n1n5EUjfwT50B39IdhjxhcH6rcT+d6JfDrDeT0gHnPQ Vzr2Xpti3gl6wS/jth2u+VSvd2Fn/GP713rwL48/h1Ne627M1Xp59it7pyMv CPm26KuI/u3ggxn/dv549R/8eLJM6vOLjeT/3gqSX2vV+RIfpX99+Is9KT6v 9by5/b9V2pSiF6/3cM8xp7t6PuZqXe1X389BXlHy92V+0TcGfLgDnpnxecwh wbst68CTWVKvXaiHQuRbKufpSryUPZkCi90dlyNaL7v0yJkz2XbomZmr9Trs V/lRGHm1kV8ffDgNnnUCf839w6GO4LPjUcE/J/BlJ/W7l/oYQf6p83UkfiWx 7/6Y1F8lbXtbyjEvyXoI+8fy/U7kdUf+AfQVBH/j6Rfm/uYWKvY74c9b4tkG fx3/l3jmNcWzPPZZM1frKl+f8b06n1LIb6HwF/3zTfFU5+//R/JzzEbJD1vy ZSf5s4F8sjPl52ryzwZ7iprycy3rhdivvl+JvNHID6MfHCI/Z5nyU9VTXuq9 F/XWnfr7QT0+oj4XUq+lqF+lX+WfOl8X5nasl2H/Mr4vAf7GIt8DfR3Rf89U 7wqf7oBXI8GvUPDsHfg2ErwbUzgjfuYnPiofRpJ/al6AdbX/d0H5vi/yUpC/ AX3D0B9vwk+F9yXBf2/6wV/6Qwr9QvWPycg/SHz/mw/k2zbqQ/UnhT/t2a/8 rYO8q8i/i75/0Z/T1I9U/6w5WvppzcPSXwvADyLpvxuUPPy/zHltKCf5lUPV A/Xrwjwn+afw/CrfH0LeHeSH0N8fHBD98039XfGRA/CT3PCrbHmEv1SHLyl/ D3I+FVQ+FZT8t1Cvt8GXDswfUB827J/F9w+Rt5J45IQvbYEv+Zv4kuJ3x+B7 mfsJ/zuOvYkh4l8K/HM4+VOBfD8TLPW5YYPgiQH+xYIvDYJk3Z79A/i+HOe7 n/jl8hN9cfDPRSb+qfhyDfjzHNZX4U/ySIn/Tfj8JfI7kHp8aS34kemI4F3x +uAz+Hchk6wvYn8431uRf6Gcr8Me0af0O5r4/P+V+9GRcokVupwcWNtxZaNH RS+8PFWJUf3db3WlVY+XZNI+5e8Xt7fLP5p/qyse2VJDXAL/TB84f669kWvQ 5co9uhY1+gZ1sFoz65zrm7QF1cZvqKDFR4yb3MjHWftR+3ziNZ8TdWratvf8 PSqfMeD7+nc37XtrWxv+sydr9nl1q7wbUb/cwWnGjRfji0xJXG4csxpll5Du 5LbmQt5/fubcqXmVKL953YFNxukN25e9bhvu1qJ+3s5/HIK0qZV/HNk4b7Jm c35WppDM9vVW5r2ml/q4yxjTduyY6tabtBG5m8a6tOhSL8ugKrk9FwQZtQfm +tbTd622blpSoy8nJ9WbO1D+/rCN7Fd/X4ucIOQrOUXR+9NR7FF6h2PnOuxX dj7Hr0Y/xF/lV6NCEofoExIfFYdOLyRuo4inits74tzKVuKv4hzKuWzivNS5 LDednxrV+mvOcQTfz9q37JfnhmLGQsbU+bc2bFpTTcsa5u36O6aCNuHF6gd2 UcWMtv8ecD7jUseond25c5ES/Y3Ynz2rF5842yj75Ms+J8892v7qbsGxXvu0 lmumvJg+Msb4eaxYhdiQKK1xmNUlq4gYI73ZxvPD2i0w9n61tO5y/qL2vGiJ H1W2hhtJeW5/uxkcpTlH93daUXufkTe3zDuz3pv9W5vL9+WQdwD5pdDXGP1L sWfCL7Hv2T9i7/qqYv/0V+LPcPzrsUD8TcX/P4wRxKeLbca8V/E3Bso5reB8 Dh4WeT+IX8m5CeFH460N7/ky1st1Yci3kf0Nq31Tg3uU6WJELK2TNN52ndbG v/P0TQ77tJGHpgxZM/SckebdatXJu5cN7xeps2NavtAO5bLv8GNcitG5dsjF vX0/aI08trg8CVylpU/ovsfJLdg4P2/87XexT7TdE382XzYyXYv8Vf5Cq3ZP tK/MV7Fex1/2t/OS7ysjbzby7dA3Dv0PsecP9iVi79K9Yv9i/HFfJP4lzcBf 4hlLPL4Sn8ImnFD5fYg6MMCN65xTBHm3Z4/oy4O+hU0eJp8vukL7wTh/Xovw eLdTxqkj/lOa57hmOL/OH3C730ctbWC93+tPP9Xiqt9zXl7OxjLzZfVls30y 6eeSZtvf/Mfakq19pztH6yRoEXlXDZ7j6abb3K/f3bHvY2PB+vQrX5o112Oc 4hvPrfdKG8t81l1Zj2R/tXbyfV/kdUP+QfRNQf847HE4KvZ9xN6X2J/M6Id/ O4jv1+fi/y7ikRl8uH8iI64q/KgIzlwGX3qS/1PI/6ucY3fOMRP2nMSesNSr 56r980kby3joYGRs87jSlpmNBu7M3NXOknX/pQ5LjpXVv5Tts/Ffl7KWplcr PvZrMUy/cahj6I333nrY1+qLE5cu1nPY7qp8URumd39/ctL+xYF6tmNdPhbY NE7vpeasn2T/c77vjLxDyP+7T/Tp6D+HPQnYd5bxIfbb4c8+/PuNv3/xX+FB TeJT50fGPqTweSY4HgJ+O4ArPcEVZ+pjE/Whcc7tOefy2LsZexdMio6IfV1O nzRZxtzPWryY4DRH/zz0wqlSpfz16UETn0XNOaLPWbH9cpjNLt3W98TAu2+v 6L+m5fSd2TdSf+F6ZFy1hNv68QOev/ItOf3f+W/WC7B/Nt/PQJ6SXxh9n7DD GjtisK8J9g7D/kX4cxf/NuPvDPwfQjySic9eU99W/a81fbsB/fEzeP1tteD1 enDnURq4Q/20oX7OkQcbyYMU/MmDP555ppX8MiZSb8rYOvv4Lstz39e/HV1V y9h2W6/z9Frf3h9f6GWnFLMNHpGq703IUrX209f65tfbDmzzff7feWnWXdmv vm+HvGbIV2Mx9L/GnjLUhcrbHdjfCH88wNVJ+FubfnWQeEwlPsmOGXmO4hd1 ywoPWQD/aNVA+uBc+qBTDcHzgeB5dh/BpXBwKZH66kp9TSVPZpEn6fjbCn8P pURcPvbrlX6AsVTpK6NKlk3TVxy7Wty65iv9av67tg/H3NeNZeH1phVN0+OZ q/US7FffK3ltka/0Kf2zsMcD+15h70rsT2kr/uTFv9ee4u+bw+J/HLzgrbvE Z72JFyr+lrm18LyGNsLvrtoLv9DThV/smit98mcf6ZODkgTvF4H3+cCt4+BW OvVXkPoz59FK4lGceAxJWuRzJy5RH8S4M7NX9zpe+/TPXo3anww4o+9gPpj1 oYwqnkqeC/KVPlX/P7HnCPbZYO9RU3+bA2/YDi9oDb9aBd9qDv9Na5ORRyt+ PLS/8OirA4Q//zgpvC0sp/C2Zz+Ff4yaJPxjvrP00WH00UL0g670g1Bw7RW4 Fkh9BlOfKs8ukWfpxGsb8Zo9+uzlby+n6wsYVzNuYf0L+6/wvQV5e5C/BX0K V49hj7IvN/bOwf6U6uKPBX51HL5lA4+tB4+N5X5RxXTvUOM98vEtcVxbROL/ gTiW53w6EMfAZDm/ydhRnPPthp3fOH8VR5Ufu/FT5Y+Ko8pHFcetjEuIn8rH 3aa8VPWv5CkcLYc+Fcc/2KPsy42947D/DPn4gTjux9/t8P8I8nEtcczZNuM9 TeXlyopS767kbeOmggcVyeujDQUvto2XvH8D7ztBXfw18ReFj6quFV6putsP nqm6VvU5kPgoPFR1reaDTPWsxoPIq2PqP3boV7zgMPalYO8l7G8FPr6F309s Jv7G4/8+8DGQ+Mw03WsVTjalX3vQZ9LpT+3oM7voXzo4PJ/+dgicfkL/awuO 36c/zgXnVb9uQx9Q/UbFU+HmClNeqfpXc7XuajoP1f/V2Bx9il/9xp6O2PcW e5X9A/GnE/7twF93/E8jHtWJT+ESGd8BVN8+Bx9aSl9fCV9qR9+PgU+1gRc8 g29Fwxv84GON4BUD4Gt54R05GL3wT/G9r+RNAVM/UvW42YRzat3OlOdzkKfk m/WWxJ638LKB2HsR+w38aYV/4fir4f8S4jGP+ESa3k0UjywGP78OzxwMfw+A h36H3/+Ap/4L/58Ej73H/eACPPeKus9gfy3iq3hyS/JC8eid1Jvqq+3AsSP0 h47Mf7B+gP0BfN8AeS+Q74W+juiPw54zjJexdzT258Gfx/j3FH9H438n4nGa +Hz/nvGdSd1rskTKffF9Ebn3zKsm98kF3IsWcr8+yb0pnPtoAveqg4z7sa8b 9g3i3I9z7gnU03TqqVCo4NRjcKow+K/u03npqyOZ5zTxlQ/gXEvk7THx6w7o 74Q96v56DnufMAbjzzr8m8X9+hH+z+F+PYR7YZzpXU7ds7vxfjGVe3hb3o9c eE9ymifvH7u4xycz5vQU/bmXif6/vFNc4FzjqZcW1Et3cKgaOJS1peD7tGWC 798eSt+cRN/8Bh9JZB51T9aTJsr+S23k+0zIa4x8d/SFof8s9mQh744Tr6/E rzT+FGK05n3rNO80VsTDgfg0Nr1jqnefWbyn1for70LN98t721nejdIYnXg3 W0F8i4bIub3i3A5SD52oh+PgTHNwJgD8tgK/s/tIX7zzTfpi2/nCN/raCN/4 BI8rBY8Lho+soY9uaS7fX+XeMQT59dG3C/39seci9m3H3kDy7sBb8afNCvFv Fv5OZMxKPKyJT3/Tu696hwzmnfcW75SXGO353o7v3TgXJ87lRBXJ92p2ku+l wZEl4MhS8DkAfFb31HTuV8PbCZ8Ymk/4RBYH4WkevLP3Py389yS8LQweNwr+ cdxbvr+PvLXIn4S+iejfgT1Nsa+fvdh7i3q9jT9P8S8r/qr327PE4yTjZtM7 ufl9PMa0PskU9+mmfF5hwokDJvw9aupr502/G4RWy8jDxrXLyG+vme4NBUy/ a/j/m/GeG2N6Pzhkepf5YfrdJdL0jnjU9D7bxPTuveR/+V2B35GO8rvSMX5n Os7vThH8DnWC36VO8DtVJL9bRfI7VhS/a0XxO9d/52pd7VffK3lKvtKn9Ct7 zPYN6G4XOXVjdaPO6o0OWf+21vrFWEWu3TvccPOwyWJfYqEWeKBq2OTlW406 n7u9/7ws0lji7zyw4MVErVepJ6W7e1/XFnVxd8+0ONHIk9Mx/p/sD40FvjL3 cpT1AexfxfduB0Xee+RPOiP62qwR/VN7iD3m+HXBvvlFbJoW+zjCSG60d9Ga X4u0jQvH97kXsNvYdKz645nWR7Qzk+5+0ape1hZ2Sa3tUfWLsT46U6vl7T4b cTUHr7ndNE277nvfUvfxJy3dVeZHT8n6Zx/ZH8f3AcdF3shFIj+/h+gLKyr6 l2Kv+Xz9iN957Ct8+HjRKf57jRxV9epPep7RMtu1rd8vU6IRcP53D9dh6Ub3 BQ+abh5YVK+YkDt5fa2S+rDd5VwmeNpZNpfK//732fKW1SEyH35V1geyP8sF +b4K8gKR/wd9yxuL/vbE15x/E4n/OeLXku/HtVi3vdyeG8aRNs0unKt3y8ji 1a98j57l9dG3bpSbmS2bfvtpmnuXx866z4Wr654N7q3X7P321qERQ/UOzPs9 l/VJd2X/maby/TNvkefTUuSHVBN96cT3YBOxx1wfo/ZLvniHy3l8sRV/bTqL PJsBEX3POzvqg8b3e9+kQyHd0WhUxeHYcD2mudue78VW6582pNyIfrtLbz01 T+lOvffpFuYrWG/Afq+x8n1z5FXtJPLvFBB9EegvRz2Y67cf+e0zWfKnIufr TPyGTRH5K+0KRnZ55K+XqX3uz4pl+/WFTYwaea+c0v/Yflhft2qEnr93s9rH Bh3S7QvIfBfrtdg/ge/rTBV5ScS3UKzoazlR9Of7JPaY8cV+utRj8a6S70Hk 0+EEOS8b4vHWWfQ5uzz/Mmn9Sb2AjUty5qmGpUibSaMv1b1uydxscYs/N65b sjIvyfpE9n/me1/k1YwT+ZUXir4U9C/EHjP+5Swh+HGD+rxL/oelSX6FcX6h xGdPHtH/tmLIqpG1r1n2xcV2vTkwRF/b9MT8RVfP6J+Yq3U/9k/n+yjkFXwm 8jtRjxXBj2PgnRmfr3YXvHN0FzzJtU/q9SH1cJV8K855lide47Cnvs+c/Yeu n9UHrUi8+fx+uO7B3Jv1uuz/Tn48RF535FcPFn3RtUR/Anhs7h8rcgk+f+8u +HeltOCLTv3Wpj7Se0n+2XG+m4lfL+z7czG+s/HvAr038+Wsq/3f+L4R8s72 Evm9wLO9XdGfXewx97fNXcX+/bXFn3p7xL/Z+JuK/6eIR0ni8/oi8SJ+A7Gv NvO2xLMY+0twHs+QNwz59sTTzVn05+maMZ7q/BeXlHzoRX40jpd88U+V/NlA Pk0hv86Sb7aVJP9aYU8g8QvH/g/kZwr7l/H9DuQ1AX8no68O+veUzJifqp6q UV8O1Nsr6j0mUepR1ed76rUb9RuPfnfiZcv51mTelvVp7M8FPq1FXvUbIl+n 3t3R38ZU7//lL+BVZfBrKng2CnwbNlnwri74lxl9c4nPT/Ihnvzz4Xx3sP4X /xby/Z5xIq88+NyYfjphiugv8iUjfiq8nw9/qQk/WEz/9Wkt/cLoL/0j3wSR H0E8DnB+T8i3otRHHPPNrKv4dZgo39/oJ/I2taLfFRR9q9FvHMzYj1T/DKaf PqC/NqffxtF/Y+nH84jvr6tyXnHk13LqoS748Ej1e/p7zCXZP4D41W8v8tLg D7PhE5nQf9QjY39XfCQYfpIOX3EME/7SCHv/EN8X5MNc8mkC+R9Pva4Fzy6B v31Y91D5Rz/eiryH2HcDvrQU/W4mvqT4XQh87wb87xf7n+BfDOexgPw9Qb4n W6Q+nV0ET9x7CP7lpF8kG/BTtR/+sAo+Wxr57dBXHv3pqzPyT8WXE+HPgdi7 AX/WkA/fyJcD1NtJ6rE5+FGlm+DdJfpFYA+Z36IfH2R/Y/jOL/jQB87XFn02 6Hc08fn/K/cj7nPhmxu1/14vZykjkPG/fx85d82Hbe6ax8dZEdqNhupeeGzv w4/X1i/vajyf03tNp/u91P3xeIFZfut75pmouRTp55Po6K/umRFrr4+qOG3f KiP6+Nd0zzIrDO6jJwYMuZWl/7mVWonDpdza1duu7q2RbmnZR0X0XaUl3Lo3 49yL8xr320j7XIWv/ul9x/g4NT555boz6h4cZSl1+siMRvs09xlNfawKxhrc l6OahfWYkHtFgjbG/lSBO7sSDO7VUXP4e7nZsl/9PdBF5DybJPKVnMM5Re8w 7FF6bV6Ind2wX9kZMFT8Kh0h/iq/7G9IHOyKSnxUHB4Rt1lzJZ4qbrMeSZyf EX8V52Wj5FxaNZbzUudSu3HG81OjWm+BnA2c6+rAM7ZHevsaoxhdz4xwylRg krYhxOrp5RyTtQepO6r8urTG8K3Z8MGF4muMpfHHps1L2a/1fO/Sc4G2U7sR n/1KGd+zxrDf5bf45zqvDdpwNMfQNbeNqQeCL25Y+MCIO3uoU59v37QH57/u fPThkdH1TsDHSp8uGTWnDKjSfMFD7ed4nw3nXvwyVg+fmLb29CttkZ/MI6bL ussH2T//nHw/FXmVkf9gvehbjf7VCWLPE+yLTxB7s9US+6Oeij9z94l/Jc+K vz03i/9LGQOJ7xtT3qv4p5D3EdTBVuJVm/hF7BtT1bXzWiOG8dv8rXY3Rh7R 6vfO//RmllBtWdPGHYt0vmS8Xh3lO7FZqHGy1cH64a5hmtfXAgtOuz0yCjV2 jQ/SrPU9R6Ljcn3/pV3I8+xVgeRcFqtP+VLHJGX+Hz5Ybn/KgmNath3ntm9z vmt8XzitSZ95OXUnt4mdDl35ZGxh/j5M1kMjZP+b9/J9B+Slh4n8RuhrhP79 bcSeO2vEvsZeYu8z7F+zQPzZt1/8a8doQzw9iO968rfH3Iw4ofK7PzhRhPxf SZ4lkXd90Jcdfemxm9y72V8w1jAuWmQzePHBWO3H5cyPT/se1uqcPh+6JV9u /fvFhMizoZn1xYtzn+1gk0dv8W3ngoPXSlqmW7UPuzvTS3//Y3rPvQOKW9Kr D6tQ91YnPWTQjs9+Wdz0yXPOzhr4rZceudF1c3Hrprob89TBsv60muyfnC7f /4u8RsiPXCL6asaJ/nbRYs/xK2LfkOVi79TzYn/IBRkj8a9ZH/F3DHm6hLy9 QXyCi2bEVYUfhcDVEHB25DvJ/0PUa45Vco7XybvesWLPtoViT3LUzzz/Dsqk R0fKGPCg1eWkdYcNu0J3ru/KUsNS5NLdruOfdtfHfaj7KUtVd/3Sy3W2s//M 1Gd0KrKjW/vR+vLlrdwfVNuqtyx/cnnI2tl65oGOfj06h+i5in3fPP3AQv3P AJm7sb6G/f35/hryiiK/MvpSCop+q5diT1Ps2429L5eK/e3ixJ+lzcS//fjr cE38v0s8poG/w0x9SOHzYHC832DB7xngSg1wrgH18c1b6iOWPLOKkXO2Il5W 68XehSGvOy450ku/w3j9UZ8tXX6u15M+h9cMnLBaf1cm5d/LjY7rc68UbxL+ JFT/0/337fvjTukPXvQKfjs3Unff8DMofH+YPuxN/s6nz5zUKzNPZ/0V+xfx /Vfk3UH+Q/Qp/SMYAzaKfUnE9wR1kx1/HrUV/yzp4u9B/N/yS+LxkL7tHpqx b6v+1/K29Enrl9If3Q4KXkfSH3yOCu58biS4M436caJeZ36UPLgWJ3lwCn9u 48/1ws7Bu+ZF6gmMX3+UtDTtvVH3q1Z1zOM8h/UV0/6et024aqmdc8rP9Q9O WPpuzBYx/8d1i/3UmlObPj5n6cc8JYesr2T/Ir63/SnybiL/IeNb9Edhz0ns m/1J7H2N/a8V3uBfn3Dx9zj9Kv8hicf5JxKfl7cz8hzFLxZMFh4SAe95Rh+c fE764F3w/LON4PktcCkMXGpNfV2kvvzJk5xlJU9m4m9p/N0c0D7257hEy0rG iOXLXwS5RVrmft/zvHm2S5bkSl16ONyO1ueMd/16aXuk5b6asz6B/Wv4fhPj GOSPRZ/SPwV7grBvHvbeU7j6U/zpkVf8O/RR/L2K/9/hFY+Jz3MTL1T8bfUc 4Xlz6gm/KzhT+EXKR+EX+w3pk/nKl/9Pn+w1RPC+BP3BEdw6C24lU3/5e0j9 FSXP9pBH04lHT+IxxMezrcPX8/p4xvDyXWpX7half/EpFNJoYax+hvk41ocy buf7ycjbifwf5G069f8SexQOe2JvOPY/p79FrxMeMGC3+Nvoofh/Cz5WsLLE Z7mJRyt+7FBEePTUI8Kf40cIbwuYILytjbvwj5+LhX9U2SR9tBp91IZ+8JN+ MANccwPX6lOfI6hPP/LsNnn2nnhdJF6aTexz69+b9LaMvoyhrP9hv8rbJcgb gvza6KuO/onY8wn7SmDvAOz3hxfYLxD/FruKv3fgsYuHSTx2H5b4rCyc8d6h xtkzJb47uId0nybxPwz/fbBfzqflItHTA/7hiR1NOd8v2PmI8y+IH7nIx/74 GUT+PCIOPuTXceIUw9iY+B1jfoLRl/1JfL8FeV2Q74K+Ruh/gj3fsM8de8dg /13yce988W9tsPg7gDjWnSrxKE8cT87IeE9TedmTej9UUfK2NnjQ6Ynk9Urw InSI5P3db4InQ6iLteDNDOpmInhkTV13B69CqbvV4NlC6vIk4zBTfF6Qd7eY q7pew/6ljEreHIUb6PtNXc9X+Ih9Adg7Afv17+JPyW3i3wL8jX0m/nsRD6+q Eh/fqRnvtQonh9F/AsDRCfTrVO5bc+jXA8HhvfS3EuD0BPq1wvF99EcbcP4C /dOXPvCGfr0F/9fiv8orVf/bqdcxzHeyvoX9C/i+JHKzMd5H3x/4kIE9B7Dv X+zdg/0p+HMW/7bg7yL6zE7i8U9uic/82xnfAVTf9oUP9aavh8GXUtdJ358P n+oKL2gL32q+THjDRvhYBLxiBnztPbzjOWMy/qXj3zjy5jl5U4B6zEw9FgLn cvw/1Ln3X4/v+z9uRMN4oiJ7RHYoI5XrSkJmpEhokNIimkJSRrIqNIxUilS0 ta9HKtmVJLPskTJSEsL3c3se9/N5uz2u2/f1B7x/Om/X4zzPYx/34ziPhwgf fuL8btzvCn+9BP0X4FeHNR7yzEd/roZ+VxvvHku8e7bhPVmGfvkx+r7uf8ge n9AXKqdJz01YHzkOc5NFTtRndm6k/v0o3vfReJceXEZ96oky6v+D8d56zd4x +dTntrtK62nI/wb2lSAuMlj/gXyLRb59BI59Ao6dQH1g9asB+xk4fxD3T4Je Duj3gb0Yf98wyHWRVlvIux3yW94lfbyMSb9eoaTvXug/BvaoxZxpkWjOxN41 Z/Fe3It3z068J/XxLtLFe1MD7yZHvEeVg+ldFY7VBPJNh3zpiNPuiNvXyKdM 5NN24JQfcGoU8N8O+N8BdVUR372xPw3n1+D+V9A7if769QHiNxFxZ4N3ywi8 B69jHhB0kNYReGdzmF8cwTxBE3OhO5g3fMG7+WJf6bkce2cHYH4hv5ve4Scw 38jEO/0E5h8leMdfxWoCew6AfWvh1yGm5FdP5P9u4IHKD8Khp8ChzcD3lCzC d1X0Aasx3+mC/srhMH37o2+NaqHzj1DvtHoQvZ/Aua7Iz7fgn4I8Mi8n+XJh r2TY7wD08cO6HPquhP487JGAOcVC0RyTzX2aMU9LwFwoHvO2cZgbaWANBf0s 0B+NOJ2PuDVFPnxGPmQBV43wvjLDe+sE8NsGddGgDvNE9Ff30G/MR9+6x4u+ XfAecMH8MbmR7suVEr3VoB8CXAsEzn3BO/kL5noGiLN8xJ0+9BkH/S5hXpiM tSvsMR32iRDNfdkccjnmvKWYUxZiPYb7KbgfBL+0R9xuRv7vAh4sA46cBs62 oF55viZ8tsA7tTvqXk/0E7snUj8hQd/6FH3aS7wH1DPoW8af9hdOo/PxpXR/ HuhpgX5XzNGDMW8xBa7FYI7L5ua/ka/RiLOx0M8Y+qpB/4Wwxzys3/Wl5+Ti +fgs0Ry9XmR3b1E87xbN71eJ8DcuRbqutYr6hZZt0n1YlZ90fzuxr/S7ocNe 6ffYym3S79yvovmBu+j/lCrRvOu96P+ZaaL57CXR3Lvr//hfYUnPR2daijMm 76vad3CfTdepTkHn5qi81Z5262vZ/WVr9LWK22V6trwcNn1h/4jnFzJqp397 pTOo5Yqb9iXPt0dlDr3XvuBr+vz7KW2dOYvVDgV6Ouq8iB0RNv7itv++2T47 z+4zeow+48f4M3nE8qnLlZc9dZIRLJ82DfZ/qcoNL7Cc0+bIC8qTH3xU7rKa q8vKFw6tWsJN9HvSkmJ0VqiznLiyT84JIbBlrv3nx9HciveBwbsnHec2zyi8 t2GKr+CHb2fsD8b5T7voflEe0UsB/QjwSwN/H8gjtt8m7LdFNpzep6gvPIhZ o6m4y5zzmGD9+1Gwm7AwYcNynzlBwuMW48kqbcXcrl/vR3eOKOUsXlps0eos EX6fizFtGF0ijJ4+LVtG44JQhm8b7I/E+UO4Py2R6PWeSPSXnCV+C84Q/2LI I/avIvQpgHxpLmMT5Ss3C1Xpa9r8uL2c/xlDs2GV2Zx5ztOFQ+++FKaYjymv /PlGMMvqNX3Wpy/c1Ez3CevNOvBtbXO9x9p15JXwrYH9iyvpvDzun44ieqEZ RP8H+MlBXh/II46/w7B/K+xXjfsrllYsMFbbKJiZOLe6bnolZI7q1unLMDk+ XmZm2GdLRX6kUvvut/eq8vpz3rdd72HIT5Wp/nvn3jJ+Or47YX81zq/D/Reg F7Ca6O/MJH4zYd8fkEecHy6Il6HwxwzoWwd6Fu1L3ddp9+I3LB64fFjkJMnQ rRPzzu1S4/OGKgQqbvfjqyIX1EcpnuKn3YpTUFhxln+I7xLsL/Km85q4Hwt6 30B/E/g5gv8PyCPO34+Ibx/Ez8ts8o8l9JcH/QnPBunv7riUdwtb+6KbzVk+ r+szndg7JbxdR3v9tKwqPuzojFeqMx7x9vhm+1tx/lct3Z8Gerag3wXxEAH+ nyGPGF/2WFE+FiLeVyL+LsNfjrCfE/idN/o8c+S3Cp6zWCXfr+I179+z8ILF uHq+2KmTjsanet4P32z/Is5vx/0BsG8Y6L9E/DqBfw3wQYx/XDPhx7Aays9P mRT/zxFfRfBfPuwzA/y7t//0d8Tuer5owMR864KX/PXVI193VnnKl+D7H+wz eXNw/zLoNSkS/eeXiV+/F8S/+RvJI8bngheEd9xZwhPlDMpXL+RDOeLNBv7c CXsxeUx/HWq/RLWI3yszbptBznl+Ob6Lse+L8xtwn8XzKtBvBL+oOOK/4C3J I64fyxYQPtuNJvz7/ovwxQr5q438CEH8FcG/N2E/f8gXcMv8idskXQmT9xb2 r+I8i9/JoDcJ9A8AzxZoEv8Zs0gecX0LgD0jYc+BIns+EtlzB+zD/G0C+wX+ D3vuxnmWbxWgpwv6xeDnBntavpG2J/N/OeLTtZbiwwHx4ieKTxZfLN4UEH+F kOeaKD67ieKT5b8E9HRA/wf4lT8n/rmi+GT5NA75fgz5thj5fh35aIR834x8 jRflO4u/EvjXR5TvF3DeFfcngN5B0H+OfDcAf3tRvjN8agVenQR+qQDPvIFv DO8GAj8ZP2ZfFg/BiD9bfLN9d5xXwn0N0NsJ+gPB7xz4t/OTxk+G91NzCP+L 0G/0Rn0oQb3wQf3QBf3nsAerNyzeJiE/GD5kYX8P8FIL9x1BLxn0M9A/BIH/ rWzpesTqZ4cpVE/1UV8VUW/frqL6exj0XKD/fvjrCfBvPPJBHfm7Et+9EX/z cd4P91NBb9Vyoj8H/PqC/w1RfWf9SB76EzP0K103U/9yA/3IQ+jbA/6RIJ4S 0Q8tQ39UD3xpQP72xn4Yzsvh/kfQewv6s8BvFvgnifol1t9Vot+zQP9ngvP9 od9O+CME8fPnJ8X7H/SX6ucJTzZMI/yTAF8mo77U4nwk7heCHrOfF/gt/B/9 J+uXD6N/voH9i9AnF/bfi3hh/YECy0f06z7o36s5wudxqCcy2P9iQedZv2OI fLgL+k/ArxT8A0X9/P+V99FU9z9bc5zWT9Hoec16wquWAn2s7HdJiNLk3MW9 uIOSGyoR8/twYT/S3xbNjp+qGHd0o2WXiUKeyu1xNTaawhXDy72WOxZP69Gv r+/14nlcyMnMaL2zS7myN+UD5F9c1pL9fTM7U7AWrq0YVLc8vze3+0h9cvON 3dMtVkz+uHmpi6Cx68rlN7JHhU4ujspNZ9S1W4ZN4Ta4n+VOcA9T1nzzF8Yq 6Vr7c+naS626zLbdsUWIHjG5WksnhDu7f2fSpCRlnUf6wmm/+1GCyX37jr/W 7eHmZTyaeKVquc76D/5DZwx0EwpndjPMaq/KlVhPOeyk46kTUk+/z8Z59vsu 0PECfUYnz5r4tswgeRjfcsj5xZfkZ3KONyO9LDxJX6bXPNihEfZhdnCA3dpg T2a3ZbDzZ9if2bnLUfJLMvzF/BIj8h9b2T7zYw78+mq6PCdvN0l4jHVaO/k1 reMWcs7d7V+ctl3A1WVGrh/sayO8XTdranD1eqHH715e1iNcOaXdfsduHHQV XI7b/xPreYLzlFX+vq01hVvdPl3llHupMGzygkCh+RJ3Z+y9G9t27xAGWB6f ZVKVKGR9152dVlbKZc9pcY35GCss13vYKejOIUHJuseZmmMHuGyevhOwvwnn u+J+hSrRW69J9FXBTxf814SSPPF7SL5jkNfJhuQ3uEz6VEC/FOg7SJv0H4u1 O+z7XRT3zP4x8JMy/LMK9HjQm2tiMc7W0EYwwRrtI1siu8CbWx1U9Mly8lbu R8KR359Gugt2p5tK9+jEcq3653/2yi0Wen42mjMrsUKYLLP3l2/HT1xF5GOv LL0Hwu6u65tkr7/htl7uV21vUcZd21yTOdw5i1Pqt71Jxu4Fdz+svU1Xh9/c YNuzS+a9quHq8f21L+3b4fxJ3FcCPXfQlwW/8k/E320WyaMVSfItSyR51YNJ /i/QJwX6eWM9C/3Pwx6msE+DCCdYfJcjD9oj/hfBT/WIO3nwKwG/az6Xh999 6SvE7qC15/2IRQvz0gXv8uicOuc7wtCuwcNDw5u5dv24hW81PnL7u1jpf/qg IPGfV7b8iuE37lRq/KyegXL86ms/7F+dvi081sq4njdcn5+n6bVhbk8ZftSN lsh/3i3hmwXjmyMT+/BD8L0J+5U474T790CvH+hbgN/evsR/A+SxqSD5xkNe V+jB76R14E7SbyP0HYg4PQZ7WMA+3U9J4yrDj3fuhDOjgC9BiP+tiH95+PFI EvlRFfKshTwWxzP0tLSbOVmsDSsuv6htGioJiNtgsTexr2TBdW1rpxItflj9 p/URk5Ql7cP3hg9x28Kf7mfg2Wnzcr6msdLD4Hwwv2paRDfjtC3889Ix4+52 ieZ7f/todt7fm3+J7zXYf4nzabjfCfT8PxB9M/DTAv8uZiSPO+TzxjoB8ptD n+SLpN8y6BsP/T/DHjawj4K3dB1i+PwZON4d+D0NuCIHXMlFfoxHfqyAnw3h 5xGQ9wHsl9+uusT9rg7Pt6f1c0N0l7ehgby7jMKIJZ7+/J6In7e612byA5L9 j0/YHc//tVq3uNWknO+jZ9QUIlvAx68xOxKh/ZBXeB8/Zvn3ov++VbDf3prO 98X9ANBj9H+CXyvk+ItVAfacBXmdIP8O6OMK/V5C3/XQ3xD2mAT7tPpK121W /+bwVCfTUB/3ox50AV6/Au7c6ki4E4X86Yj8+Yg4GIA4cIQ+jdCnk3zRnkal Al4Oa01al0vfxtbwpublWrtkHvJ7bix92Typjt/YXubx+n6v+eePNMd4/L93 XWXY0fi6u2/5F/h2xj47z+4/Az0F0JfH2u4j8XeDPBsg3y0Wt5BfD/qMBq5e gL5a0H8I7FEB+xwS9Tmsv+BUqQ/ZvZr6jzGrqA6GTqc6yKURnj8GnttlEi4Z A5cikF9dkF+KiJP9iBMT6Mvsl/LxeNe63vX/rS0fVzVvuvOOX3D6TYvevg/8 7NTfVr5atbyO/oSKzKJ3/32z/W84nyyi8wL0l4Ef48/iti2M5IuDvMsh/4er pM8qVq8ySd9f40j/aRZkD0dLss/H4dJ9IevfbpRRn/dIj/q7Oj3qL/y+UX/h oUJ1cqg/1cnOUwjvk4D3DLeeAbd6IP9kkH8sjvwRR4tgj2bYI6SDRvjLpnt8 MNawxGVL+L0p/Nqr6k9siq/y4fhm545ibcL9haDnL4prlv8MLxgOr4a89yC/ L+pXrAfpF4a+YAz6q56zyR7q6H//uSfdR7P+eNTOLv/20S611D9Xe1HfdnI1 9W2v1lL/URVO/UeFhOqoEuqoKupBLeqBjAjX7iI/a5Gf2oizWYizdbDXcdjr dNaUm9kGe/lIrLFYj2KfnWf3dUFPjAfnwV8e8rD61RfyqkH+dtBnBvT7bkP6 Bswn/R/akz1M35B9VI50lXp3sDUF8Xj+CZ2TnUn2D7dB/4t4/AQ+ryeT/3pD DmtRnVWC/y9ADxaPNdCT5ac+7MDijNmRrWdhP/YtjksDUb4zO24CP+bHfiwe IR/rC/pA/kOIx8XQzwfxONWI9HcyIHvowI4bK6XfaSwurwIfTWdS3OqtJjyQ b6G4PpxOeKG+neJeoYDwpBB5EQ+8qUXe9AIedUReMbxiecdwrRF5yfIzCPZh eGiNuGPfLO+/ie4xeqz+LAc/ltesL2DyRULeCsj/oIT0OeFO+vkBHxuh/7M1 ZI+OyOsrw6XftQwnr6H+1K0hHNVHfZqoSTh7G/UrFTicjPq2GjjN6rUs6owD 6uMB4Hxn1E9WV1m9Yfrvhv4srp4hrnRE+bpAhIOsvtSI6HYBP9ZfeUMeOcj3 HfKegPy60CcY+sVA38V4v9bgvZmO+UMXTnoOwOp2Z8wxclHXF6FfGsX6HvRT Teh7rqDfWoq+wQz92Bz0FcroG1vQ93zBqiDSz1QUNyz/Ga4xnDsnwod2OM/6 AOYv1ld9Az/Wt9ajf5wK+ZZDXkvIfx76KKPvqYe+GtB/JexRCvvI7ZKem7A+ 0m8d9edbMR+qxLyhAPOGB3g366NPHYH+3wh97Dq8D36hD2frINiTvWdYH9cZ cdEP+fYQ+cbq6mPgmBzqw1N8K2P/Cc6r4P5P9DMuoG8NforMn5DnK9b5kHcO 5H+C9+wI6FcIfY9B/wjYwwH2MbaQnjOxd00PvBcP4t0Tg/dkE95FgXhvKuLd tBLv0dYqele9wMpBvhmQbyH8Pgt+T0U+XUY+ZQOn3gCnrID/A4D/rK72w7cZ 9m/i/Bnc/w16C0HfFPyMwX8u5DGAfKPxHtTBOgj6hEA/TeibCf29YA/2Lvwh msuxd7ZCX5pfBOEd/hnzjeV4p1/G/GMS3vHDsT7FO98b7+5K+LUP/HoC+dIC PJgOHLICDnUrI3xPdiZ8r9OgulmH+c4PzCkmoI7eQV29sJXO3yml+w1diF5X 0P8FfuHg3wPyvIZ8U2AvJr89m09gjYO+M6H/fdjDE/bp3Fd6jsnmPh0KaZ5m ibnQdMzbijA3uo01FvSXgP4I+O06/JaIfNiGfHgMnBkNnLEGfvuMJPw2y6K6 2K2V6uJkzM16c9RvSNZTHxc+m75Zf3wPdTQSdTV6EN5doK8Ofs/APwfyXIV8 dyCvLuS3hD43oF8G9E3EqgZ7sLnZF9Hcl80hL2LOq4Q5pSJWDdy3wv2n8MsO +GUz4t0O8b4DOLIaOMLe9xnA502oe6GYfydjDvsY/YTmXOrTNDBPt19L/e/M 9/T9DX1cPfqztXivla4lesagz+ol478b8tyGfO6Qdx/kD4U+7f8h/VZD39HQ n9mlJ9YY0ZxcPB8/JdpvFdm9kyieP4twImiVNP5+Ev0fECr63yBF9P+Creh/ iEIV6f8rdEXvsfai/z+OzpCeH3wTzWX010vPu1pE/88o9pWezzaI5t6x/+N/ BeUlU1SdSzIyplqcChu9vuvltrI+t1Lfamflly+Oy1+jn51k83rm2lfDckIq Bw5emVmbc0RtbKhTkVuuzIma1KBD73PTVzoXHzmtnbc7IdlopJdj3mm5Owdu Xdz23zfbZ+fZfUaP0Wf8GH8mj1i+P6OPqF492VcIOzd0hXqKPrf4u0Ot4307 4bnG6DGfAwO4QPfTmW3Do4QBbcK26JLjwowwR8Nlva9whmfHbzril8Bdymoz GKIWLvSa5njq76MUbk02feecoX07nG/5Rfc3g54t6G8Bv+3gP2AMySO231ns Hzk0OuKFiZ2wsd2GuF8ZgVxck6uqtfoFwSStKv1lsYSrbXBtiLJOFLo9+6F9 Lr5JcAn1qtX581zIPCf7z/XfX7lRHp18g4O+cy3n6XvXMdrvh/P7cN8e9GaC fhL4bQP/fMgj9q8b9NmL88dfPdcuKEoUcrKjug1LvcZxKi8S62WeCQGOVg3v 0lqFazfLV+r2VeC9lm5Y1mOFIq/hohb+o+Wx8N6t646UFx0knzbQd+IS2p9/ i84H4f7zPkRvEejfBz9P8A+EPOL4uwP7n4B+4bjf6JN1OuN7rdBz9Ez7LjOe cbL8W+FcQEfewuxz9JFnDcLxedcyHqfP5YP1frx+7GzDp0962HWajRNfgO9o 7L82pvNNHN0fPobohYH+2BziJ4B/F02SR5wfVogXWfgjCvqOGEn0vBs3O/56 JiepGisM7Ss3mK9aNdH6XaAn793j5+wz6WG874VORyUa5/l3vf0Ufs9L4l3x vRT7iqvp/PzRdF//M9HzHUL0h4Df5xTi3+pG8ojzdzHy4/ZHip8j8M8w2C9E nej3uvF2X2WnvfyaLj+W2cVd5Mcvv9LzqFsu3/Zi5qeltun8sw8GSTeOnuc/ 4fuTKe1b4HwH3A+aRPRezyD6f+2JX8A34q/2neQR48vGcMrHY4j3l4in0Y7k r46whw74xYTHnd7sm8VvWLnUftXpAkn83/ESvU53Jd922oeuO3lXcgrfMdiP wvkluH8D/ji8lugrId47g39GKMkjxj+zaMKPzshfP8R/MOLLFv7rDvtZg/+H sQ/iLW6WSeZEdvqrKjnDFw1XvrPNX8IPPE3fSuNon8nbCfcdQO8v6Pc0Jn6H jhP/8jiSR4zPR+8R3slfIDzRCqV8fYh8WIl4K4U/j8Nea06RPKfkekf/mV/C rxrJX/7VOZtPwLcM5M3H+Re4vwf0skD/gxXx+wZ8+5ZE8ojrh4E64fPzrYR/ 5V6ELws1KH8fIz+qEX8v4N9E2G8d5Ct++siuatFRfi6+rbH/EefDcb8Q9O4A H+rAT+JJ/MsmkDzi+qb+muR/CnteTyL9XkHfVdD/HuwhgX02nyB7RcJ+GyAf +1aFvdn5d7hvDXoHQV/hEPE7g/pQel3ansz/045RPDQFUXzEGVG8NM+n+DFE PA1EfB1GvE1C/CWfJHnsYT9tyNeM+F2H8z+R/9tB7x3i0wPx2YT4vJwgHZ8s n/yQXzW1lG9Pb1D+ha6mfMxAfuohX+ORv6XgnwN79fcl/8bhm+lTiPNGuP8R 9PqvJ/pByHdz5PvEMOl8Z/gU8JPwqtcnwq8SB8KzB6gftzQI7xj+GYNfL9hX 8SX5c0g9xd8QfP+DfR7n/8H9I+OI3js9on8VeB3/lvjf+y2NnwzvV3kQ/ten Uz0Y24/qw2x1qhftWqh+xGgS/Qewhzv8txbxVo/8MMP3Ouyz892m0f3KJqL3 EfWzQ1/i1xn8S92l6xGrn2dR31ehvrL+Yy7qrzLojYL+7nbkr1uI3/fIhwPA h1p8H8V+0XY6bwv/qKoRvUGgvw/8loL/fg3p+s76EQn6k3foV4xfU/8ig/6g HPpeRzzsQjyFoB5ExVO+6noQvuwG/sZifwXq223UR030X+ch3y30S/HgHyzq l1h/twr93ir0fxdx3hn6KcIf5+spfjQR7+4hlJ+hwDMXb8K/zvg+epT2T+H8 j+90fyz6nQ2gvx78TMDfSdR/sn75Mfr5ROxfhT6VsL884rc3+nEV5GPFCcKP rfWEd5GoF8NQ34adov2fON+7he5vQvxFgf4C8AsE/zejpfv5/yvvI40bfoWa zuszLU8drV0T3E6wxcp+D5luMUjxnjqXNuSn1qyySVzeq9/Oi+bEX5781Kdl rLyJMED2V820leZCYdmUdyWOxVlPqr/edentyS2Z7bslpHIHF7FtYsqBF5ez dR5LRs7bfFxo/KrpZbnguMDJbzN1vLk7Z9CDwTv1485x85euD9u91kuIas6q iY5Sz80rO9J79uNYoXf+vVTf/XlcsGz9lEYuPffDsp6FXQvvCMdkap0HfIvi Ntfway4mKeeZX3tXfjKiiDuXrbLO/GSOYMGp+sy6vzxvwz5tuRDlCu605cRc L8ccYWaZ64hGHc+8CfjdNYfOs999bhAd5Q5En9EZYkJ850EexjcOcs6D/EzO 5mrSqw76Mr06wg5/DMg+zA4yD8hui2FPZjdT2Dke9md2/gm/SOAv5hex/9jK 9tNBJwD3beeM+TG8zURYhlU12l/u8H1PzrLbtIX3q704ZXunxoHGEUKSi2Z0 a/dwYUunRs1dOZnc47SlWS/eXOQ6/13epHO8QtjxMMfrqloqt/6gbHR69D2h zelMqOR5lbBxoYxib4s67tvFc/bjO14TwusHjQrRyRXWWVlWx1Td5IY0XlIf Mc6bU51/+2+nq1c5vczkf78XWNP+riY6X5NI93stInoKzkTfDfx8wf/DH5Ln HuRbA3m9If9q6HMO+i2Fvk7Q/zjWb7DPdVHcM/urw0/T4J9toMfslytX+NTK MUK4gFV9b/6cc23Z3Ncn5sf9x17m3hpt/rXiXpUgzHZwUHt8XSiZdqqr1oYE Lq7/6le/44qFtA635snqZwqdnX44xaxsx0d1m9Pxz87uErc9O5q/NrZyPvbb U//xkuODb/eujAmpFzp0meWSE9ybX9can+SwuFEYhe/actrPdqLzT/3pfjXo KYG+TNvNf/nlgn/8FJInFvKlQt5yyL8B+sjIk37V0JOH/mdgDxfYZ44IJ1h8 88CJF8CNVPhpFPz0BfyY/WwVt1lV1lUKTlgH3CgqN3/8nPvjkeI9w/I1ZyCc DSs7/0tI0d0nvAvuyAff33fzfmkb9zCdf7P5VB9J9syM+1v2LeAdZCu7zh/z RAidtfvU1+3m/Nu1k23/GvF83KZJOeWhNrzVkENnXDca8pfx/Qb7s3Cea7r7 7/100BuQQfQfVhO/K+DfWkDy3IV84yGvPuQvxboX+uk9JX056N8Ke/QFPviI cJXhRylwZiDwxRPxz/LVBn68CT+6Qx5ZyHMg7/uDWx6fhEcFtMZOcqjz6K/E 71ePM5zYdYjkW8WN0gv56/hVoQuCA+2M+COVM7xk9+7jP0r8FTrru/MLPZ2P LbGN5hW6hyj+MyOAP1h1KCL5TCKvXqC04o7TEd4P34rYn4nz7Qvp/mbQ2wL6 o+8SPz/wj5xI8gRAvgdZtFZfJ/mHQZ9JS0i/OAPS9xj0f5RK9lgJ+ywT1SGG z0OA41eB33uBK++BKyuRH3KalB8F8HMk/LwQ8t6F/ebN6Gq2tcGOX4O1RO6f meM/nOQ/jF82q3BTKH/y8NTar3sv8zf6Gl/hn6bwH60aT0VNyeGTdT/KGnfN 4SvbJb/tXJ3IF+3STVoUkMv/wvc57Nfg/E3cDwa9J6DP+HmA/wys8bBnw3iS d3I+yZ+uQ/psnUT6GamQvhegf1w12SMU9lljKF23Wf3rX0B18hjqYynw2h54 vRq4M6Qj4Vww8icN+VqHOPiKuKuEPsXQx8yzW1bls2x+GdbKQ/FnvTrv5yXv hLuy7gn/z64e+xvb3ZYMOf0s1c87R3I7sNshy/y7kt3NPTsr7i2RVOK7K/YT cf4v7m85SPRWgb4F1hvg/w7yPIN8wZD3IPL/CPDmZy/Sr8WR9C06QPrHoz6G V5B9LuRJ9zmsvzBDn2NiSv3HpiSqg5dQBz12E54b/EN47ttAuFQNXOqI/FqH /LqNOIlEnNRB3+fQd+me7+6+5yoks7CmyJj/un08V2JgeEjBaegNyeeiVaab Hubywcox89PrciXf8c1j/yDOz8P9hVgzQL8J/A6DP5PHG/I1A09yIb9ML8Lp w11Jv2ro2w19heUlssdPY7JPkagvZP2bfj71eY3Xqb97Y0v9xcLf1F+4V1Gd /OlIdbJ+HeH9X33C+w7ALT3g1mnk3xPkH4uzc4ijZbCHMezxZcaQ7XWWV/kW rKaDAneVv8nnbyrYBAw5cZU3wPcP7L/E6on7S0CvBPT/Ab+74J8IeeZAPjnI +wz1KhP1K9GB9NO8Q/p615L+oyzJHs2lZJ/yLOk+mvXH49ZTH10UQP2zhTH1 bVFTqY8r/E39x/2u1H+8RB0NRB1VRj3YiXqQDFwb155w7RLysxT5GYc461BM cVYAe82GvZ4Nkx+i9CWKr8Jag9UY+0U4r4z7R0DvsQgPngNX8yAPq1eDIW8q 5I+APi7or979JH2HyFHfmm1E9vDB++LmWul3B1tXCGTfWtjxtz3Zv13zxX/p NFSTf6pgRwcb8p8n5GjtRv4NgJzx8P9b6DEB8XELeq5B/HxDvt5HfM2HnWZi rYf9tPBthPUpzr/AfTPQuw765uDH6hWTh/mZxaMN5LdHfpXDjj0qSN+oQNJf 0YbssRn2cc2VfqexuJRtq/k33zvdorhVOU940Fl28L9xPWsX4YXgTHH/vorw 8TPyugR4Mx95cwt4VI68qgdeFSPvjIFnMcjLZKw1sM8P2KcQccfitgn7fjh/ COtc0IsG/Qbwewf+RZBHH/I1QV4X5PVXRcJHVeR1D7wPRr2nvE5OJnvMwft4 dmfpdy3DST/Un9fAUQ/Up4cLCGdrUL+WAIcXo75tB04nof5tBY6/R308Cpxf ifo5EXW6RVRvzkD/PYira4irL8jXu/j2wv5RnJ+D+1mgewV0LcHvBPhXQR4/ yFcIeeX0Sf730Cce76Kp6E98UGd7o38ZgzmArmgOwOq2uhH1Q2dQ1+8+oH7J B3V/Xz/qp06pUF8wDv1jwkPqG5rQjyWhrxiBfu0m+o4XWBdAvwPQ7yvihtUD A+SjBPl4CjjXiO8Z2H+M83dxn/nLBPTvgV85VmfI0w39+W/0u1PvkfyvoM+H v/SelAwkfaccIv0XPyJ7vLtD9hm0XHpuwvrI0ibqzwc9pD7TMIP6d1fMGzrP pf5+0ELqUzd6Uf9/TkJ9rNcVeh8kT6Y+9znWkZD/Aez7HHHB3jOVyLclyLds 4NgJ4Fgh6sNxfKdin50vw/1NoPeS9a3g1xP8/2iSPCZYMyQkL4f36zlP0meE Pum3ZA7p2xf6b0kne+zG/GxGk/Scib1rhuK9OBvvnli8J3fhXVSH93V/vJsC 8R7thXdhPd5X9wWSbx/kWw6/b3hAfm9APj0DHlQBp6YBpxpRrxKB/1/zqa7m 4Jvtq+F8Me43gp5WGNEPAb9W5MlFvFvs80m+RMh7F+sy6FOPd+9L6MvexUGw x2jYp+ts6bkce2f7Y34xEe/wl5hvuOKdPgJzkCt4x1divQj+82BfZcSp3Tzy K498Odyd8OAtcEgLODSunurVeNSvfugDDnejuhmFfmQcvr+irhrjvPknut+u O9HbiXeWWn/iF4P33ildkqc94u4r7LUD8ttDn41Y32Hes4jNB2GPbrDPKtEc k819HDFPm4650CLM2yZgbjQGa3vY0wr0W+A3f/jNHvkwE/mwFu/yTnhfjgZ+ P8Y7IcyP6mJMR+oLzt6nfqOwmPqNZ+hbrQqoj9XGeyDmL9XREZibDUI9sAf9 /sB1oQ/xb8I7ORnzFhfIy+Z+06BPFew3TaS3KezB5usbRXNfNofUxJz3FOaU V7Fux30r3H8Av+jCLxLEuwXiPRc4ch840hPzjtXlhM+KqHvRmLsLF6ifmHaT +okEB+rT5uynPm043gMR6Nve4p3Vhrm6WwLdV0MdTQd9v7vETx/zhU6Qpwxz rHGQ9wLk/4h54WHoZwx93aB/MexRilVRNCcXz8f9TkrvbxbZfYUonoeLcGKl CH+rlkjXtc6ifuH+nxqpPixAkO5vw9dLvxuM86XfY1vbSb9zq0X/k/jNlp7L PBbNuyaI5oiDRfPZJNHc2+l//K+gmFqbcUlIm+z1omcHvWj5qXJDvjrIGmpN G5U6/Pnjo3paJ7OHh2zvOnT69O1b6oqznkyXOPfr9Tx/i7bR9J0fXEa/1X6m tChOprOWjq1tQYDxrQ06PYP6byn45fXfN9tn59l9Ro/RZ/wYfyaPWD4ny+WO qms6CV4fJdZvuo7iDl26E26yaq7QTvLwYLdTtpyS5p+46xfXCtFdnf1Ct8UI d6/ovwjL2yUM+BaUeK1fLGesfuNryMsDXOzeDJfmXruE5DH0HddM+6qFdN4A 999NJHrGoC8Bv6fgX8bkEdkvCPsOFtFOeq2Gwoe4hpDGXFtujVtWxbVsf2Hp rtrA2zqWwtWh0cO6Fxdx5vp3/JfIXuS2GT3Kujv8qnDe59j9s0ujhNnqi972 npDPJW2n7zeLaV9nJp2fj/ujg4hePuiPP0f8qsD/F+QR+9cf+jyAfM5GUz9u P+EvbPO0C7GLPc2VNhb4Xtpynqv6bZpTf+uNsOThsJFTf1cJT6+ZNF9s+M4V vMjT89zXgXfQHKB8srIDfwjfpdgvrqbz9ri/tZnolYF+CPh1g7ylkEccf1Nh /1Do9xH32w/WTNRSTRRyPS7+s+7Mc+FK6coLl8vk+MCBwW77jvXigz/7mru0 n8A/+Ba+8nz4Et43Qd+hvoM5/wjf+7FvgvMzcV/Pk+i9BP3NXsTvPvjvhTzi /HCcRPHy/hD5Y2wT6cuB3hGnMsUZP/7hL7vptnviOkHSrf3LmelTFvIRtfXn rsTt45VPH3x+0z2K7zfv2vmJ+uf4PviOwn4Qzhvgvo0z0dsF+nqw79ow4n8K 8SvO33mIbyPEDwf/LIP+Na5En8s54/9P5Vq+T1zeiotbzvG/7pXyI5VK+Q33 usw6Nvo+v1Rj8UeznY/++/6O/f44r4L7AyCvDuhrg98C8B8KecT4Ul1M+TjE gOJd+xHFkwT+mgZ7/AN+zxxds8b63uWnFLToxru85q9t+fZG2fwDLxM5/oG5 Uj1/Fd9Tsf8K54fhviPoHQD9qgfEzwr5ZgY8EePf66+EH5YLKT+PlFL8+3yh +IqG/1phHybfpv3yC16XfOBvDOSNdSpe8hr90qc3lj/lb+Kb7U/GeWbfUNBL QPzeRL6tAz40As/E+Jw+iPDupQPhyeHnlK9tyAdFxNs6+LMY9mLypO468dh+ fAk/QePcefnyJD4d37ewX4LzdrivBHqvQH8K8OGCF/F3G0nyiOvHnXDC563T CP9kNAhfMpC/A5AfCxF/zL+asN8kyOeo/alHhbEFr4lvZl9ZnGfxqwR6+0H/ NPi91SD+QhDJI65v7kNI/lvOpM8W2LMF+vaG/uthjyuwD/N3Muw3GfKliezJ 4tcW93uCXjXoa8KeQR7EX2GUtD2Z/4sQn30WUXxEIz7NEJ9nEU8/RfFpj/i7 BnkmwH5MPmfss3xi8c3wqhrxuR3xeRzxuVQUnyyfgotQf2dRvqWi3qQhH3sg PxX/R74Xi/K9CN9s/wXOMzwbC3qhjD74RaEe7xLlO8MnPeCVKfBrJfDMGPgm A7xTA/6pgF8L7MPiYQHij/n3G/bZ+RG4Pxr0rEDfA/y2gP8aEX4yvK9GPXI+ SPVgEeqRDurFc9SjGaBvAHvEw3+9EG/KyA/2fRL7Zjj/BfXiCuj9RT3W/Ur8 vPcQfxsN6XrE6uc21NMK1NdJqLcpqL/vQG8N9N8FfxkjvipE9f05vtOwPxTn 5+D+UOh/EPRngV82+K8W1XfWj6ShP1FCv3IQ/cs19CMC9N0P/2ijfsy9TvFf j3zVQb/khe/nyI/ROK+J+wrwVw/Ilw5+I8C/XNQvsf6uAv3eTfR/I3E+Efrl 7SZ/2CF+YvUo3tWWUH6+3El48hH95zNv+m6P/lQO57Vwf8wBopcF+hPALwv8 K0T9J+uXo9A/P8I+6/9mwv7rEC92iO8gCeWjN/p55wmEd5aBhM/lo+n7C/Cl HOf74/4X5IM56N8Cv9vgnyjq5/+vvI9G+tmc7rRi3ZSVKUcCNk5pLtiElf3u 5rSp0+EkJU43d2zU5Ii+XOzIZMNBdXFTdZOHtZwNmCI0TA6r6zNIR/hhdkw2 bN+VaZ9VDcLU7plwx7u5W09RXs3p3ckp7Hc+Q2vr4aoMmUYXoauhvVnjXGth Q4SPT58Sv+lfLgSejL2wgqtQ+j2hZVKIINdu8KCecWO1A1XNK4/mRHHN+/hR 8w4s435MvPpuiGWq9vaQHlMmxEYIvRU83DYHHONKLiyWLAlS1Lnsk/N9L39U eP3gh9GJ6Pmc+50bV2ROmehkVd2OnjI0mPvzVfZkyF8/Ye3ANUFprW46x/H7 81I6z34/u4Po+MkTfUbHF3y/HCR5GN95kHMT5GdyNseRXr/nkL5Mr1DYQaE7 2YfZYehwstuEKWRPZrejsLMA+zM7V8MvzfAX88tzkf/Yyvb1QMcJ922yJmW1 /ZwqLMe6J8To4KDfptz4rrpzr2kt53yO/jgrqXIVOmlPHV4m7yb8TtuR2nv/ Aa4paPb95WqruaqK1W+e+M3jEsof9TYen8qFej+xlTt1Teii17Z/6ItQbtzp 0MP3Z6ZzZwsyq/RiUwWLccsG9Est4Yq2mM7t4HNI8I37sn/ptr3CT58n7mYh MdziC/Rtu5H2b4+l82tw/x7o2XBEXwf8VoJ/+EeSp30gybcineRdDvkF6GML /V5B3wzofxvrQ9inTBT3zP7XEfc8/DMC9A6A3hTP4z3vXHEV9LBuTZPoPIkK 4mKGJeZGnD7M6TjY3Op17KzQo0VjfNCsIE53ouE9w40SoS3w7c7wXxXCMd0B SlEWDdzYg7ql36yKhVHf3y5KcK3knsw5E3pw40PO0lRXMupHLWe4LLZMVqmG W7zKY7TpPBl++d0zvo8GP+Cs8f3KmPb55XQ+Evc/tBA9rwNE3xL8ToK/+ySS 5/l3km8i5B2hSvIfhT47od86rNXQfw3scRr2YXHN7Mfi+xZw4jVwQxt+8oaf PsNeu8AvYfPkrOhNsYIV1oKUbwl/zLYLlll+TwesKBaW+p7MvBXzhcs1/TaJ M2/kPn2x7bvyvqykfomFzSStd1xr696SMeOH8atTyq9abE/gxkVnRK9uncuv +yR7f+0hFX6lRv3nVf6m/IzM+UW/zqjxy/C9FfuqOH8pie6r/CB6lUZEPwj8 NoD/Gcjjlk3yqSWTvFGQ/zPW89DPHPaNh/5bYY9RwIdJ3aVxleFH37mEM7uA L2MPUPyrIf6Xwo828KMc5Bl9meTRce31paVfI/dyC60n0ipHfL0/WDImzdzX 0au/JMEtdNUE+9m8nZLFCuGTLC87MF1HPsmTH+ok82JZNyt+a7OjobDmON90 NPiXpZwXX+jcrev1hrN8ymOJQUaqL1+M71/Y98b58bjfDfQqlYn+FfDLSSX+ PyGPDeT0xzoqleT3hT5J0M+llfRdC/2f7yN7pME+V+ZI1yGGz97A8WHnCb+X A1diXxGuhCA/DiBfTeFnL/j5AuTdDHnPbT6Vv2rqPP4t1p4R5j0OzQnifZ4s m/lrdgAfZzqg45Yh2bx2p2mmK5sT+fiFBa8CZlXwF3X/eTzIX8I/Na4d9jDg Ib/73rq/ZgYl/32zfXZ+Ku7Hgt5W0O8DfjfAvxTrD8iXCXlzIf8c6GOB/D8N fVN+kv4LYI8e58g+FqK6zepfzE6qk2qoj1UzCa9HAK8fAtc6AneEpZQ/U5E/ PoizUMSBB/Rh9kuTbT933gEJn4512iajxb2m1fDDdzzYr7XkIb9B5YJhst97 /mtQt12F117x4XPHy0b0qufvrOky4arRWz4M31+wb4/zqrg/HfSyQP8y1gHg vwPy5EG+YYhbL8ifALxZDP1eA2dnQH851Edmn0uB0n0O6y8iZakPuRJE/UdY HtXBspNUBy0MCM8n/iA8D/xBuPQIODcI+aWC/JqEODmPOGH2mgp9J9zzCxs2 9wOvjvXUJi8fLY93/MUFQW2r3tfxcvKPUk3v1/JRHn+epTi84+XxzfZP4vx4 3J+IldlzKPixuJ8OeRREePID8iddIH3UW0m/bqhffdEHmKEvKAom+/jIS/eF rH9LMaU+r8qb+rstK6i/yBpD/QVnRHXS35zqpPlnwvuOwPtm4JYncCsO+ZeA /GNxZIc4ugR7RMAeXRIt/Uzaqnh5rHPG5qxZH5jOjzTjZx6sv8bPxbcC9tnK 7MnorQd9xo/lfyLk8YB8rZB3PORPQP3yRx/QEX3BGNaP2ZE9/qD/3ZAg3Uez /tjrF/XRHo+of76xl/o2jwrq2+beof6jx2rqP+6jjs5EHb2MeiCgHmwDrtUA 124jP0ORnzGIs86IMzXYy4DZq6PjafuKQ7ws1l5Y9bHPzrM4jQW9MBEePAF/ P8gjEdWvpZDfEvrEoL+aUk76Dikk/Sf6kz2iqsk+/HfpdwdbTdaRfcMe0rkZ K8n+DmVEJwTxWA8+mxCPPOT4KaqzCfB/LfRg8cHsyPKzE+zA4pDZSQ8rs98s fLO4ZOdZ/ieDHsPVRvBj9SkF8jA7foW8syD/UcRjNvQ7vZT0fSuQ/qGIxwrY 8eFZ6Xcai8svwEejbRS3ocDH9cjrCuDj3JUU9xpfCE9YXg8R9S8awKMLyKth wCuWd+OAZ2HIS5bfsiL7iOOO2S9CdI/hLatXDI8Zf9YXMNxh+Mj60DkC6TMb eT0Z+NiKd9OHfLJHJvJ6vuhdy3CybDfVn0jgaBLqk8IpwlkP1Gtb4PA21Ou3 wOkG1Gsl4Lgb6uMF4Dyr11qoA6zeMHsy3ExEXLH8jBLlK9tn51mdYvWfrdng Fw3+/pCnN+Q7CnkbWZ1BvbaAfvOgbyD0nwh7PId92gVIzwFY3d6KfmgE6ro5 +qXhqPtx6Kf6oy9wQb/lir6hBP1YCPoKAf2aMvoORaysH4mBfqqiuGH5/xj5 yHCO4exn7J8Xxfk50GN9VW/w64W1APJEQ75KyLsL8m+EPibQLw/6zoL+nrAH m5scEc1NWB/phPdMUjz1mZcPUv/+pYb6UHW8Z+6iDx+I/n8P+tiFeB9cQp+b h/UJ5I+D/KwPV0RcsHxzQb4lAcfygWM7UR8K8M3qrjvOsz5cDvS2g34k+BWC fwTkOY11EOR1hPwZeM86Qr+LmBNsKCf9Xx4me7zF/KxkrvSc6b+5Et6LBXj3 bMR7cifeRcvw3gzBu+kT3qMzLuFdnURrP8i3DvLdgt/94XcL9L/t8B6eCJzS BU6xesXqKKuri/HdiH2GawPZuxD0dHoT/c3gdxn8/SCPOuQru0jy3sZ6n72v od9k6OsG/VfDHkmwj4xoLsfe2QMwvxiEdzibbyTjnb4B84+TeMeHYY0EfzPw L4Zfz8KvvsiXRciXNcChCZj31B4nfB9pQviujrq5DnVzHvqR3fg+i/1o1IOY BLrP6A0DfXnwWwD+WyDPR8h3CPIy+6VCn2ysrtA3C/o7wh7jYB9N0RyTzX2i ME/bgblQIuZtNzE3qsTqDPr5oN8BfrOF32KRDyZllA+ZwJklwBk3vLfs8E5w mkt18R363X2Ym1nEU7/xuoL6uN0Z9L0f/bEszrujrjqBnj7o9wS/A+Dv9Zjk +Qf4tAnyToT8TB82N6uAvjewnoc9fGCfI6K5L5tDpmLOm4g55SWs53B/F+5b wy9D4BcDxHsk4j0IODIOOMLweQHw2Q5z1ueYf8sJ1E947KR+orc79WnmmKcP 9qX+N+Q+fa9wov3hmM9vxnvNDvQCQF8e/GaCfwxw/zdwPxXyrhPNw1yh3x7o y+yXB3vkYz0rmpOL5+N+on2x3QeL4vlVN2mcuCnC372iujY5SLpfCFCQ7sOu P5Pub9uapN8NhXnS77HroneuzxHp+YGRaC5jM1d63tVBNEccK5rPHhfNvXP+ x/8KzssLOk0qSMuYP3zD0Kln5C+3DUz/qzJHK2tHgKvx/hC97AnjhzsN7TI0 R+VJ4+4jmU9yzi28um9t3pbc+mWe5y+OfJubO3Scd38ZrbxYk95JK29syLtu FZJX+MPrv2+2z86z+4weo8/4Mf5MHrF8Lmumeksu9edeOymsftrYV3g/55Ru teEyQTdu85KiFTs4O8exQzQPnhA+nHzpOLJdGscVH96guzaPEySlZj9fJQnx GSl+F41cuWylPsfH2xRyvg+T//2eU0r7o3E+/RTdVwY9DvRHg18S+NtAHrH9 YrF/TT6348Hl8wSDZemnHrv6cjk1fdqdGXBWMHRpzDTddoVrSwicFXLyijBg 6eP1hSHvhec1bg5TjE8L0x2NBfVhX7nZdx5XT/3ewik50XdFBO1XL6Hzfy7S fVPQqwX9PuB3WIH4xziSPGL/5kAfTZzf+XtE6bykOGHBkmfpbTXFnPaI1DMP 8p8KrXVh87rpPhIyXox1spjwndPLTFxic70dP3bcvHGfk7rzgVV/g+oS+vBz RtH3uMu0X/+Sznd/R/fDhxM9FdCfDn4TwD8W8ojjry2W7H8Q+o3G/b6FN45a H6gRXl8ZWZpQ0shp79i7Yd0KWUmQecEPw79twultPqpj1y/lF3naDinutYF3 W6LtG7llE78b3z+xH2NK51V86X7HIqKnCPpK4HcZ/PUQD+L8eIR48YE/LsJ+ iaDXdEsr7F74UMnb9333T7gyiU+6pMZZX9/Bm/h1v3hh3wn+hgs3sHh2PB/z 2ts/ozmJv4NvM+z/xXmXOro/GPScob8L7KsI/t0hjzh/e52m+J6J+Jnzhvxj s5P0jwJ9oz/Kx5XOBvLTbx0KWDLyEn92loKicmYWf61F8Nv65xLvvXDE4eqq KH4Xvj2wb4zz43A/4QPROwz7dn9J/AZfIv7RkEeMLwpFlI+liPfCZxRPJsvI X49gj6XgZ9KHP746MZ2fNrLIdeOefMmIypsWO06USWqyTTW2XCiXzMG3F/Zt cN4N9/+AXv/VRL8Z8XvNmPirlZI8YvzzyCH8MCyj/FybTfH/EvHlAP/FwD7d RxH/3tPt5NTa35YoHKjZ8+jmEb5zTpedDZty+LZD9F2lRfszcD4Y93eD3ojt RL9rLvFTeUD8L6WTPGJ89goh/LsLPLkznvL1KPKhGvF2GP78dpfs9c8RkqfY rCioMq6Y76Fxrn2Hszn8NXxfh/x9Yd/9uF8AeqqgXzyS+MU6EP94S5JHXD8C FQmfh90m/HtfSfjigvwNQ37cWEDxlwn/9oD9BkA+1QPxj/POhPNq+G7Kpv1I nP+F+/6gdwn0m8GPA/6aQR5xfWtVS/1X/nbAawd10k8H+hZBf6XvZI9BsM9k 2CsN9usJ+arw3YL977C/F+zJ8GA26CfDf+rgn/1F2p7M/0qFFA/Xh7v/Gx9T gd8KiJ+diKdkxNcb5Ics4rP7YZLnK+ynjnhQw74S4vMY7m8BvTuI/8uoB0E9 iL9+nnR8snyyQP2NQL4/Qb1ZuYLy8RzycwrydTry9wHkbYC9LsK/PWHvlZBP G+etcf8u6KktIvrPgC+WRsT/2BXpfGf4lIn+wBf4GQH8PA78TALeTQb+WYHf QdgnFv6cBfxUx3cg9nmcZ/c3AY+vgH5v1NPWJOD3KWn8ZHg/1J7wf8Emqgdr VKk+LCmkejEd9SMc9agA9tgK/91FvF1CftzE9wHsh+L8uHq6X3+T6N1EPfoF fnfAv9leuh6x+tmE+l6C+joN9bZWQvW3PernWR/SP38p+csS8TUd+eCM/O2G 7yzsJyyn865+dN8a8h1EfR8Ffnng/zZWur6zfiTFgPqTdcbUryS1Uf/iaET3 r0Pfex/JP59QP4agHryaQPk6GP3SDuCFSQ7tX0a8h6A+JoCeIuRrBb834H9l tnS/xPq7JVuo3zssR/0fO28D/ZTRH7gkUvxksPpqT/kZaU94YnKL8O8Svq9r 0X48zl9NpvuZ8G8q6BeB3y7wv+ki3X+yftnYkvpnl8207wd9Ws6S/bs4ULwo oJ9PKaF83I761mMk4W8Q+vn31YR/t9No3xZ4cgz9RSPiLw/+1QA/c9irn6V0 P/9/5X10zWtJxTbTdZlJcWuKdrUbwKVgZb+P+bh65/4JQwSVjhozmkaPEn53 tVW1ehd3OXuw/7KPT8YJe4aZnygbPUMIUPjSW2PvlayQkw+yqjMcuGlVA7UU ordw7VWNtDziMrJtnD/3/do7SOjx0aUpXP2YUKiiZR1R5JeTblMUU9wxhTOP 8Sy1fx/G5WxcNbU2ZmyuvmDnmlGYJLT4DJ/h9/ACd+t6+wmSNam5VUeWqlmt TxV+jH6y6IJylMBZn15XdFgxb9CCVZXf6gROte77lbF3YoSmyH79rU+Y5Lle cm+1DJBwz206R1n1cxNezT0QKPvdLW9jGv3+4AudZ7+rgc6S8USf0Zl3mPhm QR7Gd3ghyekSS/IzOQ9Arw7Ql+k1D3bYAvswO+jDbvlDyZ7MbsZDyM7hHcj+ zM694JdQ+Iv55ZTIf2xl+82go4P7Cw5a2an+VBPcsZpUDh+m1bCBk7t9crm5 mRNX6l4yaWfDUWG1esI4v/ZHhUEH1ioerc3kxhzYPl/ZL5nr0OnEols9bgpj Ol5cfVUjTbgzNjq677tczmHYnQR75bvCrjrH8Vd1H3BW07nw0K4xnG7rxvMv Z6QK2tPaq/gtusIl99/WNVf3PVf4zjlG8iRCqOpD3y0c7T+W2fTvebmZdH8p 6HmC/osJxG+fDPGfCHm+BpJ8EyGvK+S/BX0u3SL9SqAvd4j0n3GY1q6wj18H 6bhn9h+IuN+NPGgGvTmgtyG6ePzfK0eFrVhdIsNMUtMuc/YV4bNURmZynkcH BG7IuSd8ijc/1/FghTDr2eovj7Y+5cYnLvU51iWN+xA0XXmBdYvgu0JVZkWn n9xeZdOeT0tkJf22dbf5qfyB8+7rZqa3T4nnZDSy3si+FjJiBl02nD+U/5mv VjFn3HNB9Sx99+tM+19w3ngr3W9WJHqeoO8WTPyepxH/hbUkz0PIpw153SH/ EuizGfrtxJoC/fsgflSGkn02iXCCxXdv5IET4n8x/JQGPxmB3wbwS7DIHDNk dJWQinXMgRmvZ5z4wPUPnfTzzKt6LvWDZOjEBT0kCUKQRWbdF07+/DHNpfM6 8XsObMwpmSEvyTh7r2V42QL+k9fBPnaDhvBRenMti39b8PJKcV4SPX3eKls3 bVC8PV+44++1jt7z+EX41sf+fZzfhfv/xBI9nYNE//sF4re0gPjHM3mOk3yL IO9FyM9WK+jnAn1vQn832OMY7GMhwlWGH+rAGSPgy3bkpzzi/58L5Md18KMz 7KULeSq8Nb7HjZeXbMaqsD9Fc6D2CN5hiRBd3fyQW+e0Y7pzsB0/1HHA07Yb K/iKvcNnxvU4yO/4Mveu4/at/HyjZu7i2xg+5px/pFm/g7y37YlFhquT+Mnr wzKvDA3hd+D7Mvbn4bwX7n8APXXQPwB+ai7EXyeA5Pm1leQ7jnUs5PeAfVdB v/OIWxXofwd4sAr2ed0gXYcYPusCx28CvxuAK6OBK7qplB91yNe+8HMl/Oyx meRthLx+RRuDtvpv5L2wupW7mr/xi+QNf/We0ewQzivevBNxPTiT3/jk3LkV iSl8zwgzm7RDmbzrshmSNscs3vS953tTk1g+4uDAv9yibH4Wvu2w3xZO5x1x vyPozQP9beB3EPw9sK6AfCk7SF4byN+UR/rUIP9tM0nfIBnSP78T2SMe9rGO k67brP7NR520vEL1MW0o4fXViYTXD5YT7gSFEO6c2U/5MzuB8qfNgeLABnFg A302Q5+xRntNWyZm8aOwznS5ldIu3JLnR98wMJwcy79qzbjtF31DMuHg43dl D7MlDVtPLnxdXS5pzr3fenJ+seQRvvdivxDnp+G+9haiNxn0x2MNBn9nyLMW 8i1A3HKJJP9p4M176KdlRvrO1CD9NVTJHsOLyD5WftJ9DusvzEZRH3LzIPUf KZOoDnq/ozo4HPUguRfhuRJw6QRwbi/yq/M+yi8PxMmnGxQnRtB3qhPpG2nT v/ETVyZJwjp/950jG31yJW+OrP2S7nRNkjjrxOF2Fpl82V5JO2NJriQL3y+w H4nzqbgfizXTnuj3Bb+f4O8MeRQhnz3DE+BqtCfpk4V6ZQZ9d9ST/m5jyR4j gsg+89Sk+0LWv/1poD5vqiH1d8e0qL9If0j9yCpZqpN7UCebFQnvl8wkvI8E bvHAra3Ivybk3x7E0T3E0U/YYzXs0U7vzbGF7Yv5dzyte1b2fnrmfQHfEBqn umpXCb8f3z+x3xHn9XFfMYjoVYD+ZvDrCLxwgDwzIV8R5G1GvVqJ+lWqQvot RN9wu4H0T9Mme2yZiz76g3QfzfrjISbURydkUP/88CH1bS/Qt+1A/3EM/YeS D9VRHdTRmagHrqgH24FrY4BrT5Cf95GfZxBnmYizr7CXD+zVIaBVoqccy7fu o1Ue37uw/wjnP7E4Bb1XoH8T/NaD/27IYw/5NCHvMMjfFfrUod9qlZC+LtDf 8DbZozCZ7BO0VvrdwdYZr8m+QiKd89Ak+/9GP1wL/+wCn47w3yzIcR7+XQ85 PeH/ndAjHvHxGXr+RTwGwQ5yiC8n2Gk71q6wnz++/bCy+H2F+y9Brwb0DcBP FvxdII8L5EuGvPqQ/wPLL8RJNfSN7kv6b5xC9niQQvaJfiv9TmNxySPfbRC3 23UID1o+4p2xnfDCA3m9cCvhSTrywhV4swR5swV41A15tRB4dR159wB4tgV5 WYj1K/I2AfZpRtw9w/dn7JvjPFtTQI/VKw3w+wNcYfIw3AmGvCrApb3A+23I 63fQ17OG9D+mSfboMZvss0BN+l3LcNIL9doQOKqF95U66swf1OtwJcLhyahv 91FnBqL+yQLHN6A+sn5kKupn7TqqA56OtAZD/5fQ/zni6h7i6hfy9SO+v2D/ Ps5fw/1roKfhTOtA8GtCnVkPeXpBvs/oL45C/o/oP3RRZ+ZDX+O3pP9h9C+/ UYdnbpeeA7C6rYX+cY6E6no8+kdV9D2L8L6KxXvrYT71W+/wbtD2oH5MHX3F LPRr69F3eGAdDv3aw76LETf9EbeHkY8HkI81wDkO387Yb4fzzaPofiPsNQH0 N4Af61vPQB5nyOfmRvLOR9/WC/1wOPQ7jX65Bu/0wbDHXsx31p+VnpuwPvJn PfXn/dBnntyP9zz60Pno7yNrqE+VR/9vij72AN4H+ehzV2HNh/yOkN8KcfEV 7w935JsW8s0WOMbqlSvqgzu+vbCvi/NWuK+EOHMD/a7gtwL8yyDPeayT8e66 BPmDoU8w+vAL0Pc59F+F94wt7LO+QXrOxN414/BenIh3z1K8JzviXWSH9+YK vJvYu/p9IL2reuB9tQLy3YF8Jjbk93t4X3dD/pcjn84CpwYBp64A/zcC/6ej ri7Hdxb2F+E8e1deBL2uoH8K/fXaYOIfBnnq4e90yFuKNQf6OEC/AOg7Bfqv hT3mwj4DRHM59s42HETzi+kn6B3ufZPmG3PxTn8SRfOPxtP0jn+NdTz4vwoh /ubwqz7i1kFC+WKEeU8QcHUF5j0DgO8KwPdC1M0A9AXXMaeIw3cp9j370Pl4 9M9ywLVPgUT/D94le/Deewt5BkK+ebBXHuQfifkEj3Ue5j3x0H8d5l89MaeY P0R6jsnmPhNkaJ7WeQDNhT4E0Lwt/y7NjR5j1QT9cNAfAL/9CCS/5SMfGpAP lzA3a4f54wjMtRoxL3Twpbr46DnVxU7tqN+43o/6jbfZ1MddUMH3n0n/7ntX 0/nJO+m+CuphA+pD9WTityeH+OdBHh/I1wtx5gz590GfqdBPGfOyvlgHBJI9 9AaSfYbJSM992RzyxDma817+RHPKU1hPwp6V/em+IvwSjrh9N57i/YUTxfsy 4AgPHNHrQPgckk/4nIw+QDeY6l6zGvUTSgbUT0zToD5tfhL1afEN1P+2oP+t Rl/bSZ/Ov8f9BYeIni7oX8acwKAz8TeGPGMg33Tk5yLkayT0GQL9niKerPeT /qawB4c15pz0nFw8H78q2jcX2b16sHQ8x9+TxonDIvzdHy1d16x3SvcL74ZK 92H8S+n+NmqO9LtB+Y30e8xTVfqdGyP6n+SnaC6zXDTv6iOaIx4cLD2fHSwj Pfd2Pvf//7+CeqHKyJz6lMk3sr8fKh0mO9Veve+LEfVTpml1GXvm6scZWrme Pe8dvjZous2o6T/mdHo0ffIDzf19PrhoBx30alnV/rW27AOjvUeSp+jcCli+ KMHaVmf21j89LA95/PfN9tl5dp/RY/QZP8afySOWT73qQdxhv+8Fym/G1w/r q8rdzs9V6mZjKKRPedcwNNCB+yrHa5nfdhU096U33bx4Shg8bs/7D39dOPVK a+Ong2O4EwsKMmU3+nMHs90Cbs3xEK4Z0LfvXdrfr07nr+yl+4tBT24q0R9Q QPzCwV/7Pskjtt9I7I/NmpSuY24ozP963PJ26/+7v/76oWUZ+4V+a3vtXDdu Hzf9yZEPr0MLue0NI/dkZfgLGU9UPh8zLBFMtoxV6vAsnVuTkDnRoHMFZ+BO 33LYX91M5z8/pvuCFdGzBf0g8AsF/2OQR+zf67DfLJzvu+d9yveQQOHKH1vN jpviuKTvQwarhtpy5VZDMifqvxFCN40Nj1x0RXgxbuA2i42/OOPGA/1iN3bm P+kmtvXoLM///kLftdjv7Uzn/XC/otfQf+l9BX1n8EsE/5mwrzj+JPCvOvQr w31bvZQny4QsoVzva/Puuw8Fbe6qafLHTnx9aLVBvm0v3ltu0PkOh6bxtm2q Gx99N+WPX57it3eHFe+J71DsR+B83Qy6HzWT6PmBfve/xG8j+PdCPIjzQxnx Egx/DOlB+gaC3uBko5/CSDl+ae/h7XrqjpZ8CHgd1fHMKn5Zn/6/3ZYe4hu8 HYU/P2J46xOTjjzXvsB/wvca7E/eT+ffKdP9PNDrrE/0o2BfLfBXhzzi/L2I +L6F+JkL/1yF/utA39Qg78ie1I28iX3ZpWEBF3j7Kwvad9S+xn/oFncgaPd9 3vOO7RGPi4/4enzbYn8Vzuvj/knQqwV9c/D7Dv45kEeML5VjKB8X1lG8m7tQ PCmGkb/6wR4LwS92ZkjP+G93+ZVBV7t0VH7NH+r4o2/AyTre//gNr+FGH/gD +DbH/gWct8b9oaAXj3jovJH4JX0n/r0mkjxi/CsqJ/wY8Yjy02ssxf9bxNcq +G8D7LMC/Lub/NI+rvyBf9hHb8KfBy/5j1u6XEhdX8PX4LsH9tl5Zl8z0AsA fZnxxO8U8KEv8E6Mz9+nEt7J7SQ8UUC+nkM+fEC8vYU/mb2eQB7/txExG0eU 8r6xo+XilVP5vfhm+4E4X4f79aDnAfq3wS/Sg/i/Bv6K64fSK8JntYuEf/10 CF9Skb8sPzYh/nbDv59gPx/Ip7zj2va/X7f8J+9n7O/DeQ/cXwl6J0B/PvBs ciLxtykhecT1bTlP8qtsJ30soF8Y9P0I/d/DHnthH+bvXbDfLpE9H2P/sMie zD9WoN8F+HvajfhvNZS2J/N/ZAXFw57HFB93EJ9XET/rEE8OLL4Qbwqi+KyD /Z7iuxv22Xk73F8LejGgn4N6oI/4LLwrHZ8sn84i31e/p3zLRr1RQ77/AF4u Qb7GIH8ZfxZ/LB4C8M3yJ46dx/1W0JMF/efAFxPwHz9GOt8ZPt0AXjUAvzYC z2qAb77Au1nAv5Xgtx72Yfm1GfH3XoSfy3F+Lu5XgZ4C6lsw+A1G/6CyTxo/ Gd6PBv6vQz1oVaT68Az1yAv1oxX0OwD/HOC/OsSbOfLjPb5XYl8R5z1xfzHo +YD+gHbE7wP4rxfVI1Y/P6O+m6O+fkR9t0b9nQ96faH/U+DzAsSXM/KB5e8O fPtj/wLOZ8I/80DPEvT7ob7PZ/ynSNd31o80ol/yRb9iiP7lDuTdLk/6XoV/ FqL/SQA+uyBftYEvX4EXL5EfGU50ntVjK1miVwH668FvE/h3EPVLrL8bj37P Gv2fG85rQr8x1uSPSYifp98o3sfUUH5eRP+pAfx7AbxuQ/5mN9H5EsT/KNDT Av394DcH/OeJ+k/WL3ujn3fCfg/o8xD23454MUB8v0D9NbxH+BE/n/Au/ybh s+Ms+lZG/ZuI89uQr96gVwr6n+HPweBvUCXdz/9feR/1U+qoPMPdesqoSZ8m CqNvFZhhZb8bfhv22qqvArdB1UHB4X13zrXRNG3BtbNT9TNytEPcNIUFVdG6 WrXThTFpL+3K4iTTElo8djtGreButLqVPnKy4sLdm5tPx6ZpjWtY/fdiLw/h /J0jh1xnuwgnL1ROOPnFdzo3Ydv+DRY+3CC9oXdHRx4SVG8v/LW+eZT2r0WD XQs2neBc7HJv1mz25gKfBXQrWp2sfXOjeVrC/khByThiy+11wdyi+HHfmuN7 6rR3EXIs/tklhIyN+Kcycr3w0G/WkFMnjHW2xW8t210ZwZlPKYy91m6P0Dhz 6/jZn7boJFyg3/Wn0Xn2+ycnouOxlOgzOnabiO/XDSQP43sGchbwJD+TM1ed 9DKCvkyvlbCD/A+yD7PDd9jtEuzJ7JYNO8cMJ/szOy9vIb9wU8lfzC8mU6X9 x1a2vwV+1IJfF7wcpO5rOFmYhdXZ2sw/tbsZt8ZStSledSUXGdBil3Z9qxC6 6vTdZZ28BX0vv2U7zY5zTTXaJr+MfLngS3KLE+6GCGkro6aM6HWRi+i4J9ey R4kQoFyzsK29txBQrtvdrovAGXnYnh4ekSL8slcriLxVzC3Mr97+4tJmTqnF RO+GZiLX/mnfR4Mk57iyr/TdVk77g3H+gTvd168geub9if5m8JsL/rKQxx7y OUDe75D/E/RJh36Poa8E+l/Dagz7hg+Xjntm/0nwEw//rAQ9Zr/Rzsv37f// qHPzsJyiLmzcEEKKJKGRyDxmaHBOCCEkpIiSJBkaVahEyZQmoWQoswpFpUGn JDSrkDImJGWmJOF7f9a9Xddzft97fX+/f+3rPHvvNe217nXv/aRvFkZjTO3j dm+YQwTnG9mp4dbVQ9zZszqz1tYkCD3CNrqnLg0QHm71rpB6elFY2LDb7MTd u0Lc2FMRM46+4dpoO8wPdVLjDJtm5xkOOcedck9M9L/xhOtyup9shP1nLnpX blmTwyOuWvXC5OS1Mvwzj03etfcfcAPU6PtYAM0fwPq52N/8heS10Xf+K98P +u7Vk/5V3mTPrGCy7zLsFWD/L/jjB//2YrwP//MQjyTEp0KEEyy/y4ETR5D/ iTinKJxTMPRlQN/PjZu2PBAShbcYczvUpkgPSOYWqO+r7zr0khArpXNx89uX nOWQOXvDsz9zY8tetOwObp8V8kBX5WbyY87X6pq5oDuSV7XR2VQ7/ys3Mkl7 f2b1PH7Jpn3abY9p8n6zes+9ZbyM3/wpcoL7t9G8F76dMD8G6z+upP0C5B27 R/J/l5I+degf0IHsMR1A9p2HvQqOZL8axm59yb8C+PsV/v9EPLp9p/jI/JDE VYYfA4AzKsCXscj/6ch/L5xjDM6xO+w5CntqDp++qr+illuIcbnipPTVu/tk GRyQ3bUpr0+WrY3BqA+t8/k+Cd5fkr4M55t9OiX/uuvNe3BdEyfdWs1/L7Ab rWkRyR+40WdrylAfvk/jg+SCqrP8tukqCb7H/XllfEdi/ifWb8f+NttIXgzk 74G+2jDSHw17dCLIPleMIbC/Ev5Uwj+nIPJ3I/wfjHhYIz76oj7E8DkOOG4N /NYErjRfJFzZi/oI9KL6aB1M5/waeXcR9vaHvVf8bhkXhS3kKzGOmZuus9r3 AF9fvfaLpud+vsfmL63HZ6bz+/iJu1zMLvO6MlnJO26X8grmwXFn32bzL6KG 5HjcqOS3tpY+POF26993L8yz9QHYz+TVQf546CuF/lyMe2HfQ9hrizz9BX+G ov4ZHmTAf1PEIwHxyeEl+zbrf5vsqE8uR3807UF4PRJ43cbA7i/u9AHu1FdQ /VihfqYgD8yQB9XwZxz8MXz8c3pJfTY/HWO/7ubrlo97yiuVVeyL2lPJnxwz 5c6pF294lT1dW9w9XvKtLXe1ZY3reWnXxJ4zHrz+990X82w9268KeTMhfwZG Pej/AHs2wb5Q2PsY9p++T/7YMxyvdvrrrxP8H96X4hGK+BxYK8lzGL94OZ94 iDR4zzg36oNGJdQH7dwIz+XbzfmL5962hEtWwCV31FdX1NcOUZ4owt++8Pdp 0XS5uD1v/42zpbsse6P2hudb80LaLHrLJ2YmtrM0fc6rHrpzP6fnG/4qvg0w Pwfrn2D/M4wsnr2gTx76d8KeP8ATT9h7FvZ7AmcPNVK/ckf/qgOv4MArAsHP hoh4IeNvJYuI5121J37Xpv3Dv/xCw574ReQO6pNbzlCfrAXeywPvg4FbjcAt edSfHuqP5VE08mgK4jEL8egWPK956ZsHfBeMQyMSj3Q4mcJrtpHvE9+Y/+9b BvOyGMXxPwH5TJ+OCC++wb4jsHcy7PeCP7PAA77tJH+fgV8Z3Ce+peJI8cnR keTR/3gzTzxa/zLxZ/PXxNu6vyHeVudC/KMV/OMR+ugq9FF/9IPe6AcuwLUa 4Jq4PtWQZ5eRZwMRLy3Eq8jI8VeK2YF/YynGQZgfgPUsT9Uh7yfkd4Y+hqub YY+iqH9tgf074c8a+NfNnfzN+0D+t3tO8VgTR/F5NVHy3sFG25mI70Vad/4d xf9SPcnZ5kfnkwc9xTg/O9jB+qgS7GTn/xJ+sPz4AT855M9FxIHlGYsTG1n8 WHyHYeyK9Ymiev8F+crQx/T3hj3snA/CXlfYPx/+GMK/QPDUlM/kv1cexSMZ 97SlYyTvaSwvH5pQvdeto7ytAD42oK7nbiK8aETev11FeNIPdeENvGlG3TB8 nIy6YnjF6u4R8MwIdclGacQnQZSnV/DdVVTPbGT4KO4/+tC/F/Yw3NkMeyfB fn3w2G7wbwHwUcmB/H+Be5Mc7sfJonstw8n96NfW6DNH5ak/rUCfaSOz5m// im0lHLZDv3YDTi9A/+uIPsP6tRJw3lDUp9nI+kQM/Gd5+pvlFeq1VZTHbD3r U2K5rG93g/4vsKc77FOCvR6w3wL+uKOPtpEmfhII/1u7UzzGIj4edpLvAKxv F4MP7UZfNwZfmoa+fxd8ygy8QBX3hCjwhrvgY3PAK9LA17TBOxj/YXxEFv71 Rt7oivoRwzWGcwxn+2Ce9a+e2M94AZPP9DLemg971sG+37C3DvZrwp8d8E8J 99ld8D8S8fiA+LB3HxY/xiOngp9fZO8o4O8/wUNX4T4zDDx1A/i/EnjsCNwP LMFz3TA+E9n/HnnRCXnBePgH1JsicEwBOOaJ/sBwrZeo7/qL+Mw7yDeFvmzo N4A9szE+xb3rFe4ROzTIH2XcM4xCyN/1eN8IQTyk8X62QvTOxO41X3G/Nsa9 5xHuk6txL0rBfTMd9yZ2Lz2Me1Uaxvsi+9rhXtgW9+tVqKcTqKc9wKkFwKnD wP9NwP+t6Ksb8b0f8wzXGG8NhzzGrwOQZ1eQd+WwJwv2VcPeEowa8Ocl/EuF v+xdqBrxMEV8Gpol3+XYPXsL3i9K8U4RhPeNYtzTV+D94yneKaoxfsU7xTno V+1P5/oY52qCeolHvazBvSHlE+FsiTX47ynC9xnom4PRNyPBRzbiexfmB6Af lII/z/hO8hrwTqENfV9x3+sKe9rBviTYK434fYY/nfFOYQN/C9j7IOLxEvHZ KnrHZO8+yXh/tMK7kCPe2yLwbhSF0QzyWXyDcG7LcW7TUA/zUA96wJlL7H45 mN61tuG9sNiD+mI1+mIQ3s12gG/Ygse1vqNvTfCRP+DHqeirq3HvaGPu+Fe+ MvTtAq57wZ41sG8Z7D0J+8vhjzP8Ow5/wzF6Ih7r2bvvAMl3X/YOWT6W3nn3 4h03BuNu7PfB/oM4l2c4lyzk+xTkeyBwpA44mw58HjKP8FlahfpeTyfqe0Ye xCeKXYhPaAvE00rA09aC/xrG03cI7hWLwD+m477WAfe1CXjHNUQ/kIP+H7An CPYZwN47sL8Y/hyFf2vhrx3890c8QjGWj5Z8Jxe/j18Xzd8Qxd1dlM9VIpyw F+HvWFFfa+MgyRcmLZTkYeEjJPmtuY7kvSFFT/I+NlJ0zx0uej/YKnqXWS56 73ou+n/GXfQ+GyX6v0d/7P/9f4XNab39rN4nJPFZQ2WkB3ZKubfkVqvR+/HX Xtusjk/4NDn1WYSzcnCBaprKAA2/a52q0mZe2XI9s8Ep/XX/fSbz279KLzwQ XR6fOD7j3leT75Wr7DIGTGn4FRrs/u+bzbP1bD+Tx+QzfUw/s0dsX/iqeWeO Vo7lesZoHWzTa5ZgrBFUPHDefE566ebVBTPmcjnRSyNV3x8QZnR+VFZ1M53T 39/GWfdzJnc68U9Msvd54cqLXzcnOycIectUDT4POyfk4fsb5rUCab1bJ9r/ 8yTJi1hG8meokr7gaNI/C/aI48fDvtouS9ourLfgSlfvXjwgcQY3/fbtmrO/ g4W9KzKejYi+zlmXKKZ/f5/7Hxxe3WHUvHKBK2nMc6sr4+Zt7dzRM76B27Ix WC+q4At31oe+WwtpXnYfre+aT/sPWUFeLsl3WkP6JnYl/SawR3y+Rerkj/1a Wh/omq/8q/iAoL3tRNqT3slc2NXQx9u33xdsw11vC73ec9rZJXeEr9+4mo8/ bJLjvnH1+1zdYlKU+TM9W3tEhmrxpvjW/0TzuZm0fkoo7TdLIXnZkO++ifQZ eZB+KRWyR5x/IfMp/t3h3wtv2Dfvw5u8aeXC0lU7T/YzaeKOzLQ+nri4Z5bD rcvPH977wekaaZYLFma8oUvrtyFr1/Oai32Wa8xw4WPxfQDz39JofffptH+q LcmTnkvyT0PfvJuk32ge2SOujwXIPxucbzfEbzrk/ZIOzpm+TjNr1cSqBRMa pvLBWtxGznM7H9e79LBh/FF+4xMNw/FN53mP0s7fv425yDvh+y7mfbF+EPZf 6kLyXFaTfFnEt+1K0j/jFNkjrt8a5PemIsofpTA6H0vEzwvyrx7YlfJVO4g/ Oih1+JQel/ifeuu+nrFO5nVdVCwqHp/n9XRn+IcUHuKj8K2lT/NRWK8UTvs5 yGsxJPkFQaRPKY/0R3Uge8T4IhNK9XgI+f7kJuXTk+t0XumIhxf09ZuzdLnt tQS+WcNx5FrTjKyklPPTc2oLs+Zo8fvH3ivK2onvOMy/m03r12L/XsizSST5 tjdInw30rw8me8T4V5lK+KGZR/V5vZ7y//FMyq8LOL8mxK9Pf9Lvl3jmTlBp flabZ+t7/sh35n8qHdbOrE/ibarp2w3zC2FvV8T3DeS9hnypD6RPJpf0f0sh e8T4/Kye8K7zNsKT13upXltRD37INzOcZwLidegV2ROqeNx79KMcPufxt9fV F9L5GHybvaD5WVjfE/tdIM8J8ufuJ30hwLPBz8gecf+IsCF89nMi/NsqT/jC 6ncp6uOFDuWfNc63GvE7BvuifLRO5+Yd4y/he2ofmtfG+q7IX1/I6wb5Wr1I n9t60j9pCtkj7m9Hq8l+G2/yRy2Y/HsEf0/Af23EwwPx0X5J8QpB/M7AvkB8 NyHeDlif7Uz7AyBPEfJ1gkhfrTvpb34sGU92/p7RlA/xNyk/1L9Rvlgif54g n34gP92QbzbIPxPY04L4Wj+l712Yj8b6KcjPWsgbBHy1/EL6tNG/ii5K5ier p5Xo18Z7qN7uo/6s8qker6A+7VCvtahfH+jfiHjp4Xwj8L0E86rAh7PYz/B0 cg7JX49+pQD9zvsk653hkyzwU7aA8Cs5hPBMcQbh21DgXQPwMwb6NBCfcciH TD3KPxN885j3xPqv2P9sAsnrj/7UCf1UE/2/ZydJ/GR4rxRD+J+KflSKfpSD fjm8M/WPeMj3Rzxe4vwckG+mqA8PfOdg/iTW38b+3ZC3wYbkP4I+8+Wk3zVa sh+x/tl9NvVTsxzqrzHot4qs/0LeLfSPrwKd10/kL+vnM1G/Nfj+gPnTpbR+ Mc5HAf2y1ZjkN/qQvo7o7+amkv2d8ZEv4H91jsRXHrsRf+HAZ57B313Ih09Z lE8zUG+JwNugHoQve/Ft10DzIcj32GDa3zEZ8UM8eOjzXUn6FTUk+RLjd1ng e71liP/ttqH1feBfGM6j6g7lT/leyvdvBVSfp4DP/VwI/27voO+8fJpXBl8d i/zLBv/MvkHyu9uTvgXQ7yTin4wvO4A/vwef7q9G/hiZU/w/IF+mIL/vgZ8P jyX8UH5LeDfaifC5BP3tE/rfeOCJV0fa/wv1UGlE8ocjfo2wL1/E5/9X7kc9 NQKqPrmvTHbvVBZf8GUEF4qR/a59UtVBN8hAKA9x6SQ7bbqwrLfiKp38UynD b1eavH1mwpUXDXA7PmwBp+1VaPnqfNa1iB6nDzi08EK4/Ttv74f63LDCXvMc z15JnbdJpfua1q1Ca7LHOgO7ICE38WqHqV9808rfjBpmvy2eW6b3Y97wxjPc yjOvnt9vGpw+2Kj3vDe5CYLnpyyzPz5HuPICxZelVpfTrdNLZa4+PsHZflV/ l7rirOBXcCL3YmyPjDMVKj7azpc431e9IhuGOgnV8lHb1h81zVBfw/X9reku mBh+mRwSe4B7rSyXrPLJJcNXnX6vllb8u579fqOK5AR+JvlMzqc40pv3mexh eptnkJ2/J5H9zE71t+TXtWvkL/MrwJ3iYLmW4sPicFqa4qaNeLK4pd6iOMch /izOH2LoXNxwXuxcDETnx0Y2z85xNM51ZrsAu2trF3LjMKr3LuK6hi4Urpvu DdhaOU1o/PL27C9rb6HdmdQOvet9hS16lyc25PzHr5V7z/fp+59zk1PLjVuY LRxKjvp5c81Nwb3LJumSzOfcKQdllbFtS4QJI9L3FWqWcfoHGl77DUrnsn2M 3UfV7BEyKk6Uy7jc5h4d9beuOFfLRWcU5d1bns4VRNF3tyqaNzhG6w3Dab8l 5MlAfmsn0tc/ifQrdSd7lq0i+4bAXjPYf+Ur+dMyl/yrUSR/c9uS/yMRh2bE 95ko7//lOc5pOuogfQHJW4j4mZhJbe1S6S28XkzjwmEHy/dtjeO8L7iP+XYl jgsedm6Eb3mBoLhNY8uF6aXCZu8YhdXV9ZxB7/7JwZp3OaVrx7fbhv0Qfm/X /LT79keu4F7XaWVTvwrDA2VGzdhWxj35dPOR6+B+fPQ1+amROjFc+ePwDpNN tfj7fzo9cl9bxbk8oe/ojTSf8pnWm++n/V4VJO/+DpLvkkL6FnYn/cU+ZM9J 2Ld2ONk7GfbfGk7+tFtC/jlZ0GiPeL6aTfHogvhEFUriBMvvbCvUAXBj0Gk6 Jx7nVHme9A1H/NKDZxQ6RNwVVoXQqPi+78XxQe85h+OfPsY/auAKNJ+aJt3r nuV5p/TDkDF1QojVgKl9P/bho/mJ0xv5z8LAAjvdvGvG/JWsBX4Kv0bxCQrj Oi1bbcMvURvpZRE1nV+w/OIO/3OOfOOR/XHmHYx5E3zvxfxdrC/AfnfIM59M 8pstSd/tHNLfdyDZMzWa7Nv0juy9AfvPwZ/DiOcF+Hu6kfw3QDzyOlJ8Aq0k cZXhx1bgajc3whdn1OcvXcr/Fh86x4dD6RxHIF5bED+/Xr/j7E52z5qGcZVm i3fmzzH8y4Qmdaskdf7QOZmNNj7r+EiLHuPSEq34vS0an3+qhfAJ3GvHbVo+ fKJLY9ffrad4q2kqJfMag3nLORE+qlHx/GTF7Dzb5eH8RnwbYb4A6w9j/0HI +wr5cdC35jLpnzqQ7EmCfY0YzyOeSojvfNTVT+TtYNR/PPCgHvFxSJXsQwyf P+gQjjugL50FrkwDzpUrUH0MR722uUXn/Ap59wrxykH8FpuqRBv4u/AuGG8s OX4uc3Y0/3uZoeqp2Uf4xxFGnXY7JfFHfIaXbVyUwIcttt5m6nuFH9CvMK19 ejK/S+Xbwog5x/jBvwziUzRS+DH41sL8fqw/gf1MnrolyU+EvgDoX40xCPHc iPgaIk8vZJM/yaj/JXLAA+Bq26sUj/o6ik/RRMm+zfqfZxP1yd3ojzM2EF4H dCa8fuJHuDMGuBM9jerHDfX6G3kQjzx4gXgVwp9Ny3/NvLwzmd+C8ZDN7oCk BPesrIYmP3Pb43xW+a630qfuZCVNmfT5dvfUrG2nXn0I+FqU9Xt1/O4irZws P3zvw3wK1rd/R/t7rCR5PpC/G2M69HdBfMNg36ilZG8j6t9oKvkTk0z+qfqT v+fRr66tp3gMm07xkfomyXMYv0gFD/GNIf7x5CD1wfqR1AelwwjPS6sIz3Wz CZdGA5cyUF9+qK8w5Ekt8mQP4jV1Ffm72Huxed3Vwqx1GJ2PKHQbL5eeVdUn K+Ja7a2sjhZz9gb2S+Q1TjZ/Hq+bnjUA37cwH471s7F/FcYMyH8HfV+g3x/2 MDzJh70+sN8NOPvtMfmXHUH+HoX/EWEUD/VjFB/5j5K8kPG3bCXiedsfEr8b +Iz4Rfa0uX/5RbQF9UkT9Mk44H0W8H4EcOsmcEsF9ReM+ruAPLqDPHqMeCxE PCydtbZfepnNL8N4feCsOD8bgTcYFrMt1/gmn4/vlaJ1ith/A/JYXltB3xXo 7w170mCfDewthv2D4U8T4w27yF+Dy8Svdj6geLyrpPioN0vyaMaPnSYQj24D /jz4JvE23yPE2yq/Ev9IAv9YFkV9dBL66CT0A0f0AzXg2lDgmpwd1Wc06rM5 hvKsO/LMEPG6h3h5ahsuX2pyjj+M0Q1jLeZnYr0S9tdA3k7IbwUe7ID+AbDH AvYZwl5P2O8GXuDG+JWM9F9/nx0n/6vPUzwMxlJ8fJdI3jvYmF1N8VX/Mvnv ulzEPwH8N/oUnU+Pp6SnVpXOzwp2mOJ818LOPjh/P/jBcC8CfpYjf1rNKQ6L kV9FiFM5RlfEr0z0O8vHcYhjEeR5Q/4G6HuuTPo1YM8i2OcIe0/B/hL4ow/e 6tu/519/L0WT/7plFI/qXIqjwYVeEvc0lpe3G6jexxdR3hrsJDyI9p3zN6/t owgvtJD38QLhiVovqovuPOFNEuomGHiUhbryBl7dQt0tBJ6Zoi49Ma5FfBoR 3/HIu86I11LMs32mIpy8CfnXoe8E9IfCngzYlwN8fIO6VgY+GsO/pFDy19qa 6lohmOLx4x7Fx010r/13j8U92zeRcLQM96tU4KwZ7gkpDwmHc6dQf5sAnM5F v/YHjr9Dv24Eznujf05An/6A0Rz+34b/acgrVv+tqNfT+C7AfA7W22P/Jsiz xLgd+lif6YV+fQ72HYS9I2F/G33yx+EB+Xca964A3Dfd11I8fK9QfNZ/lHwH YH37B94BfqKvt4IvbZKmvh/Vg/jU5yTiBVW4J5iC9ywBf8wHr7AAX8sE77iC cSf8ew//2oK3xLC8QT2mAw9+Auf64NsZ84ew/gXy7jPkBUF+KvQx3rMd9pTA Pivwx2HLyX5H+HMRvMcJ98kD4D31iEcL4lMoejdhPFI/hfh5CXj4S9xn5oKH K4Hf+4KHn8F95jF4+GrcD9LBw09ijIT9RbBfEXkRgbyIENUbw7E1wDEl9Iet +NbGfBa7zzAeD3lSkH+V3WegvxT2XMcoy+4zsP8k/PGHf3dxf3skS/6vQjwC EZ+xyZLvTOxeU2RO90VjV7r3HD1F90lH3Aun4r5ZhHvhItxHN+JeZYexP+zb DvuG4NylcO5JqKfdqKcs4FQ1cMoA+N8X+D8afbUjvgdjvgTrS7B/EOQdh/yj qJNNqBNb3FtKYN8h2GuBcRzu2fm4F16Dv4Hw3wH36x24F3qukHyXY/dsPbz3 WMvSPVx/Pr1v3MQ7hRneQR7gnUIW9/n+0B8B/a441xM4V/MbVC9HgQcKBoRD ccDZZ+hXV4DvkeBxx8A/BPArE/CEDMyXYH0H3Acu4r3nOuTnQ1831OsX2ON7 guzLRj6MQz5shl/fMF7Cu5YU3gdt8F4YjnecNsWS75js3WdwKL2n7ca70BW8 t61QonejCoy3IX8S5Efj3M7g3PJRD3tQDytkCWdmAGcm4H7pNprwuxL3JPV1 1BfV3YlfLYokvrG+gXjr0Qj6NhlI89XnaH0l+qo8+kEA+kM4cP09cK4R+OQF fJoJe7vD/pPwZwveB2vhb4c+NIYgHvaIj3Ko5Lsve4dk7/VD8Y7bF+Nw7O+O /ZomdC7a3ehc4pHvhniPjwWOfAOO3Ac+7wY+14AHmMRT33MKJD6RintU7yfE 06xfEo+tLCb+2+Y0fZ/DPesX3tW98I5bepHkHYL8AOg7D/1meF+4ZEP2yQG/ 3IBfMj3Jn1S8u56HvxXwfx3iYYOxTvROLn4f3yuafyd6bz8uepcPXymJE04i /A0Q9bWIL5J8oemTJA/zVZX8H8J6sOS9wXqGosR9rPWL5D13tOh/EstJku8y Xa5JvncNXyJ6RxT9jzMpVPLdO/e//K+gYJJY1ybwkrZnv8YYrRqpCYdSd15/ mjdu4rK7q3Wr2utNUv5t7LMxr59Ox1Bh96WDFTobF5z7Jbtno67BzvPfcmRr dKuP9vFRODBOr+sEI9PKcbZ63jUr8ucsc/v3zebZerafyWPymT6mn9nz/7PP Y3j/y2o1kwumrFpobNqNa8xXvf/VfJrwpNnBaquMAzfk4ereiS5bhZNSI8Ja Px4QAtxcMq20gri3HR5ct70UzSncld5oKaziZg/Z8OZh1F7BLIW+Z2J+pget l8P+dRUkz+EHyTcuIH32hqT/9CayRxy/OVNp/seawB2x2lOEdlLHNGNOrOWu rTmgc9JrnxA+SLlV2v3gfzDDbmvO0Qxu/+/IbtURp4VHz0o3FfzJEi7tD6g9 bHyLe51x85utzkOuKYi+l2G+uu2Rv+tXhND+pwNJ3nR7kr8M+sLsSb8a7BWf 73vEr749rZcrX9qknB8o9K+4c6DD/PPcja0uppo1x4S2j0r+bP38Qqjt1/TO IiOBy35Z4HZnyB/Ooe8p7y1NMvzQs+fP7jvXg3/Rh75PYD5yAK2PraL9gZ4k 7yDkb4K+MNjrh/iK84+dbzziNwj7oy/GjfnTPlNoXzxtp2zIXWHVobtDske2 441HSh1M3KbAN82QMfhZY8Dbb3/Jmcyx5G+NeiFtuN+W34LvrjNpvmAErZfF /oASkmdwieR7Qd8kxHcJ8kFcH6rIl904j2nw1x3yXpVq71R6+4f7I/Uhq+yo clanB9Fb5c+s5sM67NvRlBDKF5kNmpOz9wy/wH2X31LteL4Y35GYH4P199rT /owyktcB8iM2kz555NdJ2COuX2fk917kzzmcT3v4Pxbyl9VKvZH9s4l/2eld v5BD8fw2FcX5QVPz+C49ij7qFj/gv9p9OBBRWPXv2wfztVi/HPubIa8X5JdB 3y3oPwh7xPiywZXqcdUvqo+GPpRP63C+mohHJfQV/Li7q71FOZ842mqBXuZL fkhD/YRd7+v4zTLrnKZHveUH4zsB8yVY/w77h0JeE/LhoAbpk0K9TQU+iPHv dTvCD59Kqs/mF5T/45FfB3F+LD6XoJ+/+17zvutbvse2AI3lD2v4V11vbNSt fsor4Hsq5i9jvTf2M3ktyG8z1Fsw8KEr8EyMzwXLCe/UwwlP5ilRvSagHvKQ bx1wnoMQL3nYI9+1nbdxpzz+iOqYML7qKq+AbzbP4i2N/QWQ5w35J4EPF0NI f85pskfcP95PI3wen0341/sM4csH1C+rj4/IP0+c72vE7xDs21iuJd80x/ff dx3mvbG+CfvnQl4h5NdBX/510s+NJHvE/S3JlezfcID8eYF4xsLfEvjfCfHo j/h0R7zkEL8I2NcT3z0xP/y/xHM55HcD/u5Df8hOl4wnO/8b7Skfhj2i/Jhe Q/miivxk+MLqm+WbHvKP2fsC8WP5yovyczv2R0FeF8ifgPxc+pT0N0hJ5ier p0Inqq+YFqr3j4pUf91GUT32RH0+Qb3eQf0y/YNF9a4pqvcirH+N/V0gzx54 Mqk36WsDvBnmKlnvDJ/igVflwK/XwLN+wLdq4N0S4B/DQy/Eh9XXZ+SftAg/ a7DeEvvt0C9MIP8D9HUHfygV4SfD+47Afw/0oxJ36g+6d6lfvEP/WAj5cojH cZzfHeTbHNQH+w7HfG+sz4a/UyFvDfrRffSjSug3F/Uj1j+V0U87ob+aot9W or97QZ4l/LfAeb0A/jmjHopRv9vx3Yp5XaxXw35ryPOBfAPoywS/qGyW7O+M j0iDn+iBr+iAvxhh/1j0+3bgS25qlE8NyH9p1Gse8GUL8LAv5vtg/R2crwB5 wyBfC/rkoL85X5IvMX63AvzTGPxvCNa/h38FOI++yJ+xbai/tTyn+uwLPJHP JPyzBF43oH4z/1B93EX+X4G825DfBD7ZDP77ZIok/2R8WQt8fs00mtdGfFWR D6uRLynIb013qscG9LfRaYR3KqMJn1OO0Hcz8EV5E63fi/0TIa8a53sb8fOE fTaeknz+f+V+VJt+tO9Uf6vx5V+c+3epbZxcgpH9npIgP+/l45eZpYEDNsem fMrUDYoqt3gUM6Fqt4v7mjmawtPDXi5BRaOE2IUmDV1Cr09s/6JnnyD3RdyW S3eS7llZcQGxeULzvYRJpxM7x06O8hCeLGw6UL5jk3DrwYzwsnAfnemjjlYZ Ne3its7s/vr+Kn8hpIPcJJeAQbodrnGFceWhnM6Hq2tSZ/pzw7yfDu03P15X 78qQmh3K/8nrtG7HK9L3cQX1bV+ceCGnN3iOlTAx2FpQWb3h8Ct3J8HzxqyF nwpM9KR2GWyzWHiEWyR9KmduvL9wcP2hWW6Kznqf8PshB1rPfjfkSI5lKsln cnZdJb3hH8kepjckhexsnkH2Mzv7w68A+Mv8anOF4jD/MsWHxWEt4vYoguLJ 4tayh+J8aQ/Fn8XZNJ7OxRjnxc7FUHR+bGTzm3COuTjXcleryw7HBwgXMaZq XaiZuHUht/zVRe+qY4u5JTf6dH1lvUU4Puu4Xt21rYJs/tzVmtMiuW8rb7df Ir+Pa9Xa6Xy4PloYL/P5T+fkM9wI38tl40dkCH2HvV1s63lMUBiyM2OJ203u RL9euiU34oWCyNTiC2q53PNvyxRiPSK5vDPr/G38r3NPDo2bptMxgftzir77 t9C8YwStj+5L+49CXswIkn91G+m72pX034U9DrBvA+zlZpP9+fDnDvwzG0z+ fnEj/39gdEF8P+2RzHsW/7PI+6eogyWQdxXx63As7aqs7xZBCaPFBK3XU3of 5ayS9ao2pR7hFPs/t25aniy4Pl5TMbY6Rnix3LFxTL8oLmhW3lOPjYXC/G7N DpWZNZxj/rbHRcvSuOoh14Qb1zcIH9S5DM7tGddjlUtFvvxvTuqP7pKfc55w TybdiuCcevInXZcHR/x8xDXhu+EXzYdgvYD91XdJ3tAikq8EfW2gv3UZ2VPy iOyzgL0vYX8W/NkB/45jXIB4fkY8viF/Z0dK4gTLby/gxPtqyv8E5JkhzskG +lj8buV1l35WnyIkY2y9dPacr/Mt7tOrh2atNse4PSrbjqn0K+LuW8ZUDy34 yAmbF4Un2n8Xvr2tvB3q8oAbNVL9Ztm58bzdt9vdBuZK8we3OJrNDFvIe+RJ td+7bySfciB47YcRK/nmm4uC11hO5K/gOwbzB7B+LfavgLw/tSR/GvSZQH+t KtlT8JzsM79M9mrmk/2yGAvgXyX8fQr/RyNv/YEP4y5L4irDj/HAmSDgbDfk /888yv/DOMduOMdbz8ieJsTv6mDjKfKBZVyUFo3ZHx9GVhbLZU1zfHhmb6FC 1pqVVpN3jDbjK8elqX3Qn8wXa+/WLbDewQ98+uF6Z8/1/x9vne3qd4y/OjPV u3rXDr46e/LKR3kX+GWDHlWf+b6bf4nvZMzXYv0I7C+HPE6b5G+GvpcbSX8V 7Bk8hOwrg70rEM/wavLHDv59hL8OqH93xOM34hMh6kMMn53Rh+JGEn43AldC gCudUR8aqI/FOGcznHMK7O0Pewd59OlU+nYZvxDj4YSG3/FvD/GnkiyuJ+74 zz3c3+BJqMl13jfbR1vdNJEvy7448N2EMj70T/+RtT9v8Fdut4ue9baSTw+9 Iyzbc5tPwHcI5suxnu1vhbzTkB8FfbOhfxpGdr5vYa8+7HeEP3GW5J8R/G2C /yOA80P+S99m/c/5PfXJd+iPd4cQXucBryfnEe68kSHccWug+nH2pPrpjDyw QR4chT+R8Gd69KCvO1tu8DMwrtcw37FV8ylvErOt48urlbxPeq/018Zv+G1/ HpvfGvKST9x163OXw2/5s22SPH6tfP3v2xvz3lhviv0bIM8I8mdiPAn9Z2GP E+zThr2GqP9udeTPWODq6kLytwP6oyz6lwx4zuyPkjyH8Qvrq8RDzicS/3BS pD54YDD1QX1VwvM2h1L+4nlxI+GSBnBJA/VVgfryEuXJfPjrAH/vb/4kV/C4 7t94xO+CnX5hLT8ow655WH4d79tyMK8++TnvWhe294ZQy/vhm81HYv097H+A cSPkM32/od8H9tyFfUNg7yzYbwycNSijfsX613rwgGDwAhfws16pkryQ8bdE b+J51oOJ3+2TsfzLL3YeIn5h8YP65Hpb6pOz8wnvfYD38cCtF8Ct/aL680Ee bUUeaSEehxEPjejBpQNSK3hVjFm+65IUb6Tx3T/plWtVF/I38K2OebY+UhT/ raK8ZngRDHuew74k2BsB+2PRv1zAA2Jbyd8Y8Ku2v4lvGU6m+Ox1lOTRjB+f UCQeHRlE/LnhKPG2RUeJt21eT/xjmw7xjw251Edj0EdZP2D94SpwjeEcq8/L qE835BnLux6Il4B4HfTt2/vS+gj+MEb2LY7vDuzfBHms/i9AH9OfBnueivrX VdjfAl4wGv69dSZ/U2PIf9UIisf6vRSf0i6S9w42cpspvs8Qx67SlI/tjpEc uRY6nz3Qo4B8PAM7WJ99ATvZ+SfBD4ZrLI6ayB9vxIHl2XXEiY2HRfFjeamG 9SyOLL+vQP526LsK/QdgzzPYx/KR8Skb5OMv8NSxv8lfy9Pk/8lmykcv3NPq 7SXvaSwvPZKo3hdNorwt6k140Bd53QJ8fIO83wF83Ie6GA28eYm68QYe3Udd zQNesborB55FoC5ZfasgPtsRHzlR3qmJ6pmNFZDH+hXrX/egfzvsYfyK4SOr 67PARzn45wh8HIB7Vnfgo6khxWf5Ncl7LcPJWe+o/zgkEI62alF/6oM+s/c2 9a/s8dRnjryj/tYPOP0IvJD1mRPoj+12Es6L+zTrN6xPsPgORF6x+nRBvbI8 ZvNeWM/61DrIY+Ms6GtGn7kAe57AvgrYqwb7I8A/fMPJv7d3yN+d8D8S/CUb fXjXe8l3ANa3j4EPyaKvjwZfkkffXwE+xYMXpIJvnQHvebVRkm9PAl9jPC4C 40yRfyxvWD9g9c9w7TzjPfhm/Yr1r7nYz3gBOy+m7xBGY9izEfap4H4QD95z Af5MgX974a8j/F+KeCxEfDJnSr6bMB5pAn5eAB4uC/5+EDw0BPze3oJ46vin xP+rwGNNcE94Ap77COMy2O8I+xmPe4i82IF6q0K9MR7O+kEK+gPrX6GivrsN +0sh7wzkr4I+XehfB3tOY8zEfWYD7L/ygvyRBQ9/C39z4b8N4vEd8fESvTOx e80T3K+zce+pw/16HO5FJ3Hf1MK96S3u1XK4VylhbIZ9U9XIvt449wCcexPq aSLqaQJw6hhw6grw/yLwfzH6KutnjF/tx3rGW8dAngz49SPUSTXqZCziFQT7 fuI++xljKfyZBP/84a8K/M9BPKIRn/BLku9y7J49HO9yariH78b7RiDu6bPx /rEN9/idGO9Bvyb0e+EdIGcpnWsN6mUr6kUF7xTWF4nvqgDfz9oQvgejb35D 31QDvxoInvAE84PRD05iv7o9yRsE+SOgzxn6JyPP9uIerQJ7y2G/E/wJwTgB /rrAfw/EQwHxqT8s+Y7J3n0a9tF7mhLehZTw3taEd7NvGKdCfjDk78a5TcS5 ZaIezqIeooAz+4AzDwoIv7fgnhCgQX1xFfpiMPiGBd4bQ8DjoqLpuxb82A88 wg999Rf6gQrk94S+qdCfAHtuwL4esNcT9i+FP8PhXyn8LcJ4G++wz/Cu2Bgo +e7L3iGT8M777DK9U3pitEA8bRHfSJzLJJxLNfK9APm+QIQj84DPK4HPB4ZT 31uA+1VPZeITSbOIT2SAp5nsJp62Bfy3BvxX+Q/NP+Jp/SLwkRS844fjnbgL 9ClC/yvYow/7TsLe27D/M94L7eDfS8RLQPzCEikeZhjVv0q+k4vfx++J3tH3 7ZOM+2zRu3yuCCc2i/D3kKivaYr+NxibJsnDZq2V5LfzZSTvDaucJO9jjtck 77lHRf+TBIjeZRaL3ruOi/6fOSP6H6dC9H9P63/5X6Gy29hN8uGXkgplbbLi 3kilGK/z3d+7ZNw1lXkvvv3sopd6Oihg4K27/dLsM2USzkRVpO2qlbqpFrox /deDn7939axJL1uh2tcgYlxG79lyq0fq2GYYzM6fGW/t9u+bzbP1bD+Tx+Qz fUw/s0dsX4LqOsttKydwlnrHdA4eWiBMbpx5smnOKq7/ZrcT3lFrhSflT/wP 3wgSlrU82Nz7eQK38kPssR4n07jb8jvW7hnuyz3MLmjMmZMuNPdMHZ6bckvY fp2++yrTfNgXWt/4k/bPukvy7DeRfH/oGw39X2CPOH4jMN+hybci57g99+uh qt+yEjdB+vHSzPmqdty78jOly2cncudcF0VryhULnp61Iz9b3hH04949G2dU yWVaaNqPkq7jHF0PPCh5/Z6zNqPvpnM0/2QrrZ/kQfvlIc/+JsmfD33KjaRf CfaIz9cG/ryqpPWfDmWN3SVny6lb1kTuV9nDhUyc+LBH1l3BtYPhDvObjVxy 2rimim1SfKDFqgeNpdL8vLLKsebT+vOGsu+nJtcO4zNK6VvanOYfZtD6pI60 /4o2yTPfQPJ9j5C+E7B3E+wR55+BJ8Xf8wn5Z72S9tcPGv+yS9hVoSh/oL9T x0bO61XLD9ku3bP0bB/+DPLtzzv26rTttO8y3mPPtjeL0p34xNZJDwbv3cSb 4tsa8waraH3ja9rvDHlm2iRfei3py75F+lcgH8T1cbSM8uVkGZ2HFOLXGfLG tAlsf1+hf9bWnNGCuuYCvjn51nuNtf787iCvT2U2x/n304SvPQde4E3rs9ud q43n8/F9AfPdUmj9e+xXh7y8QvgPffb3SH8X1IO4fnf8oPzWd6b8WSJF55Px kvxfAfnD5Jtj23cL5YWrjhfW77nIbznzaZr5oKv8HZeD4w9WnuLHv5LqP+Jq IH8C39cxfwHreez/dYPkLUR8l0PfNTfSb4d6FeOLRgPVo6Ur5btbKuWTHc73 K+KXAn1Kuq7RubVx/NVfP0s1xqRnjR5XP2Goa36WTdOa6sWzC7I+jaXvzZhX w/oE7O+B+KqtJvnn00mfsQvp7w88EePfji/b/+JHXhLVp9QSyv/vyK99OL9D iI8T9J9Uban5knsna+nTMMMfQ1yzqtr3ibH4kcCfeE7fjzA/FOtjsN8R8tZC vtQi0jf+Cumf84TsEeNzXSHhncoSwpN7xVSvc1l9IN+ScJ4DEL8W2FO372mL Sd0NXmnFgsgGnQz+Hr4nPqb5BsTX1JX2l0Hedsivu0v6SpeR/pcFZI+4f5xU Inx+50P4l9aN8GXIL6pfc9RHYD3l326c72PErwfsM3rQ7nnAwJN803L6VpKi +Visz3hD+xdB3m3gQ1/g2Q530p+pSPaI+9vLR2T/MkvyJwjxPAx/i+H/H8RT C/E0fETxeoX4KcLeCnz/RLx/I54HsL8K8pwgvw/w1hbxfJ4vGU92/mHXKR/0 Myk/QpAvn5A/1sinE8ivXcg3X+Sf0zOypxXxXV9N39GYr22l9Xew3wPyGP7e h77cBNJv9kgyP1k9HXlD9WWyjuotKIXqz8+e6rEJ9f4T9dqiQ/WbCHt1EF8X nO9CfK/CfDzWMzz7AHm9gSen0d+sPUi/6kfJemf4dAD4ucWF8KupPeEZ6z/P gXejgX83oS8T8QnHeW54S/k3HvVyC/NsvR72awOPn0L+V+DneeCnuwg/Gd7r lxL+dwE/yEb/PY1+ZPdn39/+cRnyPyIeK3F+Wcg3Y9THdXxbYP4x1kthfxv0 I7MCkn99POmbjH7kVybZj1j/HOpO/dS8kPrr+dXgH6Oo/yrB3mnoHzuAz9dY /qIerqJ+Z+M7HvNfcL5uNbS/9g7JqxhM8vPmkr6Ip6Rf1UuyvzM+chn8ZBr4 0uijxF987Wh/DuK7HXxHDflUs4Dy3xj4ZydH+NIT30NRHxXXaH0h8qkj5Ckh Hs1nSd886O/UJMmXGL9r0CW+9/sb8b9g8CunPPJvKPIh353yRx/9Vf8a1acV +OdxF8K/3egX3VNo/pM7rb/hSPvDS0nep3KS7/qI9L0B/4wQ8U/Gl3PAnxmf DkB8jZAPQcjfSvDx6++oHsPPEn6k3yG8k5clfI69Td+XHtK8GvjDj2ban1pM 8ow8SL4X4mcI/b9FfP5/5X5UZVOhczDQKnl1iZnrlOrRnDVG9ntbZ63V+p9m CD+8ZtyqCDQWFhm3SPV4HpNyU6VH1JoZVty6jM85XVet5DZ9PxN8KOL6tRbL g3c2LnUUbv2aMm6c1RphwizzUw6VCakJo1OmHf1hym2sODkpvecOQW96ldvr oz5pnw+YfVHuEMXtGqJovMPqHNf4aaDF6sBB6fzyVycqO14TjFy/GHVUPcWN fXHK9qBZfHpprv+nESV7uPazfbTNSw4Ib9JCLnStl8uo827aKcOd5qzV0mby mqHCuS/dHljdNclQUhNcL78OFVLH2E3+1ilU0LgTk/m9r3PG6LH0e64CrWe/ B3qRnAUzST6T0+Y66T2yiexherkVZKfdMLKf2ekEv6wfkL/Mr9GDKA6tLRQf FofbiJs54snidhhxTkH8WZzVcS4BOC92LkGi82Mjmy+HnK9OtP/m/pXzJi1a yVVjLJp18UneZ1dBe+Pxg16azkLV3AHFj39t5pZe6bWs/1BrLit6gI9Cl72c TuXg8M57znJhiadlKvtlC61ztDz4AzcE9SKpLv2/vuA+yo3NfuWUL7x331MZ ovaIM3tqrdnf+TJnl7jcxdH+Cif/IUmnW0UJp9y1umH6zfucI2f6YeuJe9yy bvR9u4HmDU7T+vDHtH++J8lLkSf5Y4pJ39i5pN8D9ox4SPbZXyB7Z8SS/VVz yB/mnyz8vQT/IzCqIr5XRHnP4u+LczqK87GAvBeQV9KoPbemwZ3L+kajzSHd Lcfj/DhZ1bFZGe1DufapS+febkkXhikeD3O6mS+0Zl6/uN7iHdfzXrhmUV0V N8b2xvSVg74KOgq5G2L933CKM13bFGa/5MwdFbY83XKbi7QILBrRX4Of5Bc7 7OK5Wq7BaXpYke5wXllGZm+TXiM3DN85O2l+ONYnudH+oVNIXlUvkt9+Nekz e0D662BPRi+yb34G2Ws8gOw/e5j8SftK/r3AKAP/1REPe8THQYQTLL9dgBPK yyn/FRLpnAbPp3NSRrysEb8Z6m80ehzLFsrVaPwtvWfC0WVvOOWM+rkqRXVc gf7b5SN7dMkyKo3tfK+yVXDX7d/0xXcIL326W1JdUqVQMEZ+18V2C/gO/eY+ SQocz097uzJxgpwdP6xZ7uGiY7P5tVcyj69+6sI/S06d2vzLhF+JbxPMy2C9 EfZ/gDyndJJvpEf6PpSRfunJZM/2dLJPryvZ264/2e+jQeMExNOkP/nby5j8 t0fepgMf+J+SuMrwwwY4EzKK8OU48r/nCcr/qTjH68i7EtjzHfGzn2fta92n e9ZhjOE/PMNGeOjzOu0qV33sNpqP3zakT68lTvya41c/Z8vZ8oOi16T3qgjl iyO+nJkevZ0fbqg6fvaZ0/zpyBEechmhfLja2CFyIfH8ySnP5pUPPsQH4zsG 89pYn4f94yDvEOQfhb4U6JduIXuOwb6182ncgngm4/zD08m/GtTV0fPkvy3w SnkgxcdU1IcYPq8cTDheHkb4LQtckwauDC2j+liG+vAvoXNmedcW9l5C/Doq xXSZ1sud74bR6minAU3tYniHc9LJS95F8b3kf+/4OeUqryC1N9Cx6DK/Ikz5 +Pr7l/m1Fnr7ZBWT+FaNsp5ftML5uR2fy2T1TuIT8L0O87ZYL439IyBvC+Sv gL7fvUn/cNiRAPvmw96HHNl/FP7ICuRfXTn563OF/L+JeHQPp/gUi/o263/K TtQnzyyj/tjajfDatJDwuliecKfZhnCnzRGqn2Adqp/dyAOWd9bwZyX8qW17 tk7n/VX+FUblA/bhodt3ZelOzdM7V3WQt6uovNrh8a2sjtZls9bNvpa1uStX cndzQVa8VvHOTt1vZO3Fd7IVzTtjvQ72L4a8Bsj/gHEp9LvAnkTY5wV7I4A3 ky6TP3NXkX9TepK/7uiPit0pHhctKT6OzpI8h/ELg6XEQ6KriH8Uvac+aOxB fdDfjPD8yCzCcw/g0n3gUjKrT9RXU3vKk1HIEzf4qxBO/uZ4TlyrvDU/6zlG BbnHzzN2pGW9qY5VGLwjN+vh9ljp2ZpxfKNJw/yeIWlZj/Cdj/l2WF+C/fcx xiCeW6CP5Wk35K067CuFvTdg/x34c9aQ/NNcQf7KwX/9LxSPEMQn21KSFzL+ ZqpFPM9gJ/G7iCbiF84BxC8eb6c+aYw+OeQH4X1JHeF9JHBrJHDLE/U3H/UX izyKQh6lIx59EQ/71ttFAVICvwLjzQH7M/Z4Crx+mtJLDcUcPhPf1pg3wfhD lvbfgrw1TD70BUE/w4NJsG8P7P0B+93Rv5rgX6MP+WsWSP7PbaR4SO2l+OgP k+TRjB9zc4lHG2gQf540jXhbt07E24ZKEf94Bf4hm0J9dC76qBP6QRz6wWbg 2i7g2kXUZxLq8x3y7DzyjEe8WPx0nb2MVdfH8iMx9sP4CPNzsD4c+ysgzx3y c6FvTH/gKuw5B/vCYe862F8GXtDDmfyr70L+BkiT/694ikcq7h3WkyXvHWxU 5Si+vu1o3cY/FP+w38//yin0ovMZ4EJ6hiIfTWDHIZyvADt3s36AOOYgP87C z+vIn+OIgxXy6zbiVIhRBfErwjeLsw3Wszjehjw/yL8DfddF/SkC9h2BvVth vzHy8RDyZDHq73QXimP8V4qHujrFx3Sk5D2N5eWStVTvn3ZT3jr9Jjyw96e8 jjYkvDiJvM8DnrQFj8sB3mihboYAj3jUVRjw6hDqLhN4Nh113RbjZsSHxXcc 8i4a3xaY74r1bHwBeWshPxT61kN/T9gzAfYVwt4/qOsU+PMC/mVbkb+HUNfD P1M8jqOutcwl77UMJ4PWU/9p037nXxyN7EL96YML4ex2OepfHRcTDpf6UH/z Bk73Rf/TA457oD/2Bs6/R/+sQB9YgvEd/PeH/3nIqxPIq9+o1234bsL8Fqwv w/7BkDcWYzP0DYP+7bBnJOxjPPYI7FePIX/qp5F/r9Cv83F/NUS/jr5FfcbY VfIdgPXt++CPJujrA8GXVoH3HAR/7ABe0BZ8ayx4w4+2xMcegVdMBl9jPM5O xH804V9X5M145E086vEO6rEEOJeG72zM9xXluQrk1UH+AuhbhFEF9lyCfWrg jw3gbcPukj9SuL/+Bn/sBt7zhPFpvO+8GSL5bsJ45CLcZ46Bh+vjPsODh9vh PqMIHj4b9xkz3LdCcE+QB8+NwNgEHpwA+xmPG4+86IN6G4968wCOhQDHNqI/ MFzbg/nRWK+H/WqQtxXyc6GvD+LnD3tmYoyHvS24RxyAPzPg33DcZ2bA/+uI xxXEx6ZC8p2J3Wte4L64aDjdewIv0n1S/zTdiyLU6b5Zh3thKe7Xul3oXtUd 43TYNxb2rca5P0bemqKe/FFPKcCpNOBUGPDfBvh/EH3VGN/hmD+H9ZnYfxry FkH+YOSZHepEHvaMgH2tuM8qdqaxRZX8+ZNM/oWqkL9bcS/WTqF4nNeh+Gz4 Lfkux+7ZB/B+MRPvFE5431iH97EGvPMkHaR7fB7GOsTTLY30j8a5euJc1fFO 4I56sT5GOJRjRDg0UZnw/Q3w/Sb6Zm/0zRvgI/L4rsZ8OdZ/Qn+QAq4ZHSD5 83DvMi8m/eqwRxb2pSEf9sF+IZT8WYHxMN63jOaR/9cRj4krKD5nRe+Y7N3H D+9pS/AuFIT3thF4NxqPUQvxjMM7iKUGnducM3RuLqj/0aiHoPuEM1eAMy9w v2xxJfzOnot3Ly/qi97gG1vkiG8sxbvZD1n6Hr2D5s/60HpDU9pvgnuHA/rD tgLSl3eX9CsmkD0hCmSfXAzZa6VG9ueYkD8KzeRfLfwtxSgfRPGYrErxkfWW fPdl75Ab8c7bgndcKbxXnkU8gxDfWTgXaeTtl3jK97ohlO8WwJF64EitMeHz PLxrl8hS3/v0nPpektTKv3wiMIj4xCTwtNHjiKcN1iP+2zyZvnUxr4D16Y3E R0bfIXl1eBeYgHeCkNmkf2Mo2bOkguxzw/8H/pfJ/u3Is+GO5N83+FsF/+cg HgsxeoneycXv45xo3l/03m4symfnn5I4cV30zr9I9H/AZydJvvDFVpKHaWtJ 8tu+GpL3hrHqkvcxKSvJe+5c0fvBBy3Jd5lP9yTfuw60Sr4j/hK9z9aK3r0P /5f/FQZJ7VZbERanfXr5/UHuVe0mrO25PjX08ZiJE8cZdJ1hM2nSgo9LKpJ7 9tExKj35NtTmvo5qzaiTycHrdK/OMewVYFytO3LSuH0d4sboqTyd9F1d30Zv osOnvOtWLv++2Txbz/YzeUw+08f0M3vE9v1MXee3+asUN7zgftC+jl0Ei/ZP vDtZTRCidfWat7VfwwU2LdN/ULBNqH1rFqnVsk/Y0X11lO2Qg9yzrPtGx7ae 4Ew26AVPGu0gzLdbeN/D8qDQfT1998ym+Qh5Wp/whvYbNpK8Lnok/zj0yeST /k+wRxy/QMz/Lrqzd8n0YYLs/LRe88NtuYh2Qzbpj9kruOnVb1sac4Tza352 qkd2Emff4arLUu/Lwny9DUnFAUnCryuaK7Pe3OUmWls8vj32KWd7lb6X6NP8 0i60fuF32j9El+S1aU/yR0Lfk2LS7wV7xOerD39ezKP1Xoo3rpgO2yf0Lzy3 xm7QeU7o8n2bamuscL5hpdaeUU+EwE7G8rv17nPJhZXNhYXt+MQOv+tl38jz 4X1fvFo8UInfi+8TmLfvQusd62l/T2mSdwDy86FvDeztKkX2iPMvHed7DPFb gP0RI562db+fKcS29g4rt8kWlmyy3Gj94Bdne7hvlf2svvwFvV7j9kyeyd+d GynX/fFK3k7J7MQXo7X8PXyfx/yRQ7R+gBvtH/+H5E0ZSfJ3Ql8z9LfCHnF9 9Ea+PNCh87CAv/shb14t1zgq4zM3+36bRcrG37jT/irOk6M28lO7Dv+cWx3O F9989+iEynlew9V5xGjNy/++52C+AuufPKb9/2lhf+V5/ib5LdBnjnzYBXvE 9WuD+hiC/PuI83kF/789IfmZ+TUZdubevNk+7w1RB//Di5u/ajwalc+/PuwX dqNjBd+zz4PE3k+r/n33x/wSrE/HfvOHJC8A8uWRT92gv7GO7BHji5Uc1ePU 9pTvWzpSPrHzzUQ8ZkFfDymT0oHx5bzam2Muamtf8ufc3l8ZO6+Ozwt9qHC6 qY4/j28NzCtivRX2l0BeT8hvkCZ9QzuRfuseZI8Y/46lEX6kaFN9xhZQ/tcg v6bj/Fj8VKH/q1MOt+pZHb/3wru49qU1/Po1Molbpj3j9+ObzTN/VLF/BuQd h/xg1Nto4EcU8E6Mz9W3Ce9s0whPwqWoXj+hHu4g36pxnmcRr0DYM9vwel5B aT4/ZIr3iMXnU3hjfO/DPItvLfYXQt59Vn/Ah71JpL9oB9kj7h+rXAmftWwJ /3b0IXwJR/32R310R/6x812H+GnBvqTxIzt4b9j979sR80VY3wv7+0KeA+TP BJ79BP66riV7xP2t+02yf0Eq+VOMeH6Gv3fh/0vE4xTiw8571v8jnnFY/1IU z0LI34B4uiGevrsk48nO3zed8mEo8vMl8vMx8mcm8kkd+aWOfPuA/NsDe9Yi fsy+z5hn61n9G0HeVcifi/yU1yH9eZmS+cnqaaEs1dfEtlRvth2o/hZEUD0m oT4XoV5lUb+snli+5uN8WbxZ/TB8MMf+RMgzQr3PRn8bg358q7tkvTN8igV+ mgC/VgDPsoBvAZWEdynAPwsRftbgPOVF+MnmGd6mYX934CfDZx3omwT9W95K 4ifD+0/fCP9z0Y/UO1F/6NJG6W+/6FJH/cMW8i8hHsY4vzzkWx/Uxy18T8F8 KjuPKtq/Hv0oD/3IG/1oEvrRbFE/Yv2zO/iVOvhLMPqtKfqvO+T1Rn/fjvPa Lurva1G/D/B9GvNTsP4h4ncB/fgi+MMo6DuM/n5C1N8ZH3EHXzIAX4kDf/HE /k3wdzfORx/94zzy/zDq1Rz4YopvG8yfw3ot7F+D8xoL+SbQVw2+Jt9eki8x frcUfG9/CfG/abBXCvENw3nMQv7s70j5PhD8sgr8Mx349wH40laX5n3QDzWw /x7yKxPxewT7zoP/ji2Q5J+ML98Hf3bKo/kv8Ece+ZCFfDmC/FZE/1UCX5dy ILwbtobw2dCPvgsEmp+N9SbYX4R6OIfzjWxH+v7AvtFpknz+f+V+pPFb29fZ xXL8vqC5RmpPO3JhGNnvCy7E3zSeqyCUqsW6tDftK/yco5o2USV6QtXkjLgB 4ztzg7tMiVRe+DnT3m+6ZV5e2sQIk5q82FuzuJwzkQF12yy43x2Vp+dbX5q0 qHf8hjEtmwTLkMuFVT89hLb+hW0WHtmq03vciTFPzuzjvJef9dfp6CEs/lTu WbZIUzcosK2C09JtXOPijMJDznu5E1eWRxvuv6Cr8Y2vGGh9VLBu+7V3icIu 7kvrwSXXbsvoJc/ccLTW3oGb0NdH6nl/D+Fkx7vPtpjM09t3s91Vh+VRXPii V4oD+u0SIn4IisWVG/V08PsbrGe//1hAcs5CPpOT2Eh6Pywhe5jeuXvITutl ZD+zM3ks+XUrmPxlfkUjDp5nKT4sDkMXUNw+daN4srit0aM4hyD+LM6aOJeL OC92LidF58dGNn8Ccoyw/5Ls85oxCj25QXI0Pnz/IW/DAENOvffi6e0LZnN3 enEJyaruwiDbaI/a1M3C5Iv2UvMnR3KjTHaOCedDuf6fx72af/acsPDy92v5 Kse5lJXjlnW6dlG4vOhbn07qZ4Wd4wvjtu25w1mtmcn1yTonuEa2z5B6dIsz K377M3fbOW6py53OjzNyuUvPnbKO6qZw6/FdgvnNEbR+NfYbTCB5oWYkv96K 9G28SPovfiJ7rs0n+47A3kzYr6FI/lyCf8c/kL953cj/axiHIz7HRHnP4q/Y mc4pDHXQBfKuI37G7SvKW/a7C+sxqlmuubt7axTX9MR5j/mwKO6xxVSbAvNr gtRh25eOL2KFm5tXnhtek8Z9/9CeG7PqljBI75drqflT7sRInbB8g9ucdNs1 13sF3+A61hwzs3r2nJsXunmepUIn3vB2xbkpW15wcSXLf9jk9OGzzxdHffd6 ycXj+88tml+P9XOwv/an3V95V0aT/IW6pE8K+qs9yZ7Wg2Tf4KVkr/9Tst8H /lyHf+UYDyOePZUoHluQv+96SOIEy++3wAkn4MYCnNMp5J0M9ClD37ENRWbN fdOEdRhDlU4YTO9UzK2vaf+8wjSd67pHVSbsXIawYYLXy++a9dygXns8QmSu cCNOzPt19XUVJyM1cOIBm8n8kl4n7jy0U+SDdfNVTPeZ808338vfMns8Py9v vvJZ69V81xyPMwpdeN4Y37WY34P1i7FfD/LCj5D8ef1Jn9940v/Rn+zxqib7 lPqQvd9gfx3G/fDPHf6ORJ5mIB5rgQ+rzkriKsMPH+DMdODLHuT/IOT/ZZzj W+SdIezZgPgV9zB8xYdlCs19aBzgYRubmvtC0Npx3jmxQjprcb3Dt4U+y/nH /Ua1zE6byc8Y13dzzzEBfFBam/AGRRe+avTLysevovllqb1yNUwD+Ac+ZqbW V+J55xavQqPY/fxDfC/H/GOsP4j9xpCnqUzybaCv0Zf0L4c9drAzrCeNqoin 9AvyxwB5OvQQ+XsA/uchHhcQnwfBkn2I4bMP+tBM4HfLJcKVxcCVo6iP06iP jsgzK5zz8O1kr7Qb2dvb9HIXlUc2/FiMh7ZPjTzmdoT/ZZ4TbegYzr+e6/og S1fgJ/9oP/r6uyv8/eLLT5wPl/EvuMDY+T9y+Oie915ubV/FNx/8PiXA/w5/ DN/VmH+A9frY/wbymPwo6BsE/SMxLvAk+xbA3k67yf4/yNtBwKOT8LcQ/lcg HjcRn2eWkn2b9b/ARdQnJ+yn/hi7kPB6DfpD+gjCnSjgzqwYqh9ZDaqf9siD eciDr/DnCPzxH9xGrbIxh9+J0XWF95/rMk95jZjHyavKKnnFK1/uKd6s5XMq tb9eeFbDD9ayytT4XMd/uhG/bUvjK14L32y+N9az/W6QtwvyAzCegv4/sMca 9inB3gRlsr/tMfKnDXB8xyjydyT837yY4mELnnPeTJLnMH4x5OeXvzzE8Cvx jycrqQ++1aY+qPyc8DysHfUHFUXCpQ/tCZf2ieprIvKkDnmiDn8d4e+bh3Y2 oXp1fC1G6xdXAvd41vKm8+JWtp/5n3vxTY2Ng9pV81GXL53/s66WP41vNm+F 9Wx/HUYWT6avHvp1YY8R7DsAewcCVycBZw1+U7/6/oL8/QBeMQK84CR44fk2 kryQ8TeVMcTzfjsRv3v0kPiFziHiF0tvUp98hz5pvIXwfiPDe+AWw7mnqD9W rzeQR72QRyweKxCPLd29Jx9yfsh7YLxrsfzt6WfXebctt7q6xRXzZfjejPmt GMXxVxDlNdPP8KBShMNhsL8O/csc/vmDFxSDX/UupXjsmU/xaaMmyaMZP5Za STxas4D4c9pr4m1qG4m3jTlD/GPyXeIffuijOuijTugHFegHX4Brx4FrrD4H oj6PIs9Y3rkjXiWIl59lY99eA47/G/0xlmLeA+tZnh6HPIYHX6BPjLP3YJ8j 7GW8QBr+1IBftQPfuu1E/ku9oHjo36L4qC6RvHewUX0kxdcnn9YVVFD8JyGO D5CPLI7jkY8c7GDnWwU7Wb84AT9YPg6CnwuQPycRB5ZnxYgTG3eK4sfy0hPr 2TkshLwhkH8T+tg51rD6gH2WsJfFsQz5mIY4XkQ+XnIm/z/dpXjU456WrS55 T2N5qQl8NLajvA2xITyYc5jyegLw8Q7yvgl4sgN1wfDmEepGD3j0EHWlCrxi dfcaeGaJulyOURwfV1HesXmGBwwnGT6yftUf+iqgn4M9zL4w2LsP9u+BPxvh 33jg40DUddhqikfYMoqPzJ8vEvdahpOFC6n/vPlMOJpuSv3JH33m2XDqX14d qc94nqL+9h595gl44QLg+A/0x/fAedavXdAHnDG+EvlvKsqrI6hXLVEe9xKd B+v/TP5u6GP8qp0F2bMQ9r2FvT9gfyDuBz64Zzng3rUFfeYC7rOj0GcUzSTf AVjfvgD++BJ9fQruxdXo+0/Ap9qBF1iAP67XJN5gAz5mCV4xGHztGHgH4z+M l9TCP8Zb7iFvWH9geMBw7pgIH9h6NexnvIDxHaYvAuMo2MN4zw3Ym4J7lgb8 6Qr/iuDvXfivhXi4ghcuWi75bsJ4ZBj4+WrwTH/w9xXgocdxnxkEHh71nPi/ L3i4ghzdD26C59bj/jAO9lvB/t/IU5a3rN4qUG8MV8uBY03oDwzXGM49xHrG w6dDHuPh7P6kCf1f3cme97DLU57svQj7j+J+Fgv/5HCf2QP/ryAe2//LOxO7 16zAfdEf955o3Cc9cS9ag/tmF9ybKnEffYt74R+MdrDvM+w7hXNvUaJzf4d6 akU9HQZO7QdOLQH+zwT+r0NfZf3MFPNbsX4/9suBB/6CfDM10rcJ+h/5kT2N 3XEvhL3HMO6CP7W49/aDv+wdaw7iMRXxqT0j+S7H7tkOMvR+UYV3Cg+890jj nn4c7x+muMcvwZgK/e0R39M41wycK3unsEW9RBwnHIoC350JfJcBvtegb55F 39QCHynHtwx4gj3Wb8Z+U8h7hnuJKvT1hf6V7L0HdVSBeB2G/R3gjxbG5fA3 A+80bRAPd8SnopPkOyZ79wnFe5q/Pr0LSeH90Q3vRusxnof8XoivKc5tD85t MOqhDPVQA5xRtSGc0cV9qwz4bYt3rwV4f5yId7M5eG9UBo8zBP9YCT4yF310 I/pqI+Qthvwm4FoC9BvDnrPAJ33Yqwn7YxGvpfDvNd4LyzEq4h1Wl6P4vBK9 +7J3yL1452XvlAMwBuD9cine3a7hXNj7ciTy/Qjy/T5w5DZwZALw+Q/6lzHu qenoezm4b3U0Jj6xEO+0a8DTjKuJ//7MpW9T3CvcwT887Wj/Z8hbDPlz0Q+a 8b6gD3u2wL5psHcJ7B+GPHusSP49Q7ycEL9diMdmjLmid3Lx+/ge0fwGUdwn yEnms7Ho/f6nCH/7ifpajIgvcKL/Fx6I/odYuljy3hClLnkfE8Dj/v3/IXo/ GCD6P8VD9N7VKvp/JqSj5Ptsnejd+/J/+V9hbpDjtuNH4pIGvHKb2fd5u5Sg 2Wufvq0ec03PVHNU2NpJqXJepgoT+/VJu3Mn93Kc/f00szCnCY2H16X7xL4q tltQnR659s7g+QljMl7n/ml7aIpNhvr0+1v1V7v8+2bzbD3bz+Qx+Uwf08/s Edu3bG/1iST3Mdw8/ZzupZNMhFh5z5nTFq7mDFy6hqq1OAvnfepLpsV5Crvb pMXFfo7m9P0qHUYYHeVMcuQXzDPZJwTGHbOJ+R0t5O3ONFque054EkbfBgdo 3jaA1neWov3GHiQvwY3kh/UkfbMnk379fWSPOH4LYZ/q3PjrS087cK7KYf6d w3wEB9Nrznva7ea4ptUtRqoRnPSlSSN7rf4/1Hn5O5ZR17ZmqaQUpQENiIoM Zeq6lIomyZwkCmkylKRSSZo0KM2TEKEkIZG6KBoRqYRUUmgUKmPpe49nnfs5 jvv+vu8PeH/ax3Xvvdc619prnWvtfZcIuZMMlnjmFAk+2vus7zpUcsoPry1K CP7C9U3VDdcb9JXbm0ffkybS/Gs9Wn/zGu3v/EbyZjmQ/M8jSZ/zAtLvBLzi 55sG/2UB38hdKuczfcO4XxddrVPHnBOGNPUUpKY/FvRznkx33dDAbZO1amqO 78lbZtZtu/dvEO9qFrFggKoa38tw0i/lei2+1Jy+T2F+2yBar3uP9td9J3mD LpP89t2kb4gi6Y+Hf8Xjz8KX/H/JkuzbG0H7q85kN1RkxXMXjAPL+6nXc071 lUOXq/fO3hz3TtL+sQ4vn5+fnqbqyu/oMffHwoPr+SNGJUbX6wJ4R3xfeULz iZdovXYT7e+jT/Jux5F8iVjS52NP+tUQD+L50RFA8eLyg84j8wfZmzSZ5HmV SOT4bx6RbaNYPGF+ggN/Lr1sU+vcPbzh9jGJ1bcv8A1r51mtk0rgy/LOvxq6 JJH/iG9tzGdg/Tvs1ygmeUf0SH4z/PuxjvT7+xEe8fwVulJ8z0L8Wd2l8znx jewvgPyoRQWJzx6F88dCWgyWVCbySg7VL/uOvM7HB41fMmv0BT65WCfpWrdt /Jvt9N0f8+5Yvw77HSFPugHng3jQR/wW9yA84vzitJXyUV+T4v3YQIqn7jhf f/hjNfQdjRgflykXx0/pX9J2USkz+1LItAfXZj/M/mj6bOp+mUfZqfjui/k7 WB+J/QmQdwzyz0Jff+SnSQDhEec/mRTiDyVNys+6DIr/CsTXaJyfBPyTI036 gzO1K/S+388eJL1e/szjvdkah3fu/jHqCv+7P33vx/wvrB+E/XqQVwr5x7NI nwD9EisJjzg/j9lOfPcU/KIwm/J1GfLhO+ItH+dZDn+VyBAer+Ojczf+zuHv Ro770rkri3fDtxXw52O9CeKjFfKMIb8J/PBAAL/tIzzi9aNsE/HzkzjiPyvw y0rk70/kx53nFH+NON+n8N8n4Nu3dNmbgBOx/Fd8W2FecQat71pC+wsgzxvy 0wxIn9x10q92iPCI17fiXYTfJZfs0YZ9LrCX2V8Lf1bAP+v74XzhvxfAx75P D6D5Sqxvgj8bIe8Q5PcF/9Y/Jv0NCaL+/G985lI81OpSfFSAn/XBj+qIJ3nE lw7y4zjir7Yv4fkE/1lL0fdVzN9BfEpjvxTkfUN8OkPfPB3S3xAnGp8sn84d ovxK16d8m4F6Uwp+jkF+5iBf65G/9dCfDn81Ix5K8P0X8x+wnvFZIeSFQf7n waTvOPRLHhPNd8ZPTd2Ir/LAn03gT90fxG/XwHcHwH9B0NcP/pHFefZA/Lnj u8Ge5ndi/WbsT4S8U40k3xD8mQT+fNNdlD8Z32/ehHpUT/WgtJ7qw9kpVC9s UD9WQ34s/CGP85P0onh7hfz4hPgbhvlMrL+B/SZFJG+CAckPRj0q/U76ywNE 6xGrn20+VE/VUd8LzlG9lThC9dcN9X0R6sdy8HMK4msJ8sEJ+bsA368xn4Pz /Yn93WB/ZTjJd4gifacWkv5qH9H6zvqRveiXYtEvGYZQ/yITSfsvNpK9V9Av +SB+9W9R/O8G3+4Dn+XgWwP8rYP4G4Dzjf5K8sbEkPzwPaRPFf3d84Gi/RLr 7xzQf9qi/9QA3jz4162FzqMf4kdam+LddgLlpyX6TaNE4r8c8Fs8+k+VKbQ+ MJn2N+B8u8N/5tDnBP1jjEX7T9YvG6Gft8e8PeyZi36v2w6Kl4tdKL4D0c+7 BKHehqCfDyR+DtlG34e3oZ9H/i5Af5GzgeTp475wA/p2s349VLSf/99yPwoe uvzHr81ONzbNfXvl/Fg1LhIj+70l5tf8K5UzhPsT6pefz5gtZOStmy01KjLd f2aMXuoiV+62zOzsgwHLuTcT3j/ZXpx504PzaQ674C9I/3N1e6O3Thhw505s 1cqkDOXkRVva6rdyY1Wbx9U8XyaESprfOx69JdNkseyVX6NWcL2Nkn49bI7m bhYsU65zHHNL1b70iMKbTOHgy3GKJdMiOacPdvyXYwm3DlWU9ZnW/aggIVWx epPzHqH4ov4/66K+WYrrzsQWZyZyM86Ner7H9LQw0F3N+eAii6yKiY5Ti47H cE4Wm/51/3ZG0J2osUyy2ivLXJV+/xVK69nvu71JTnJH+X/kMzle5aQ3tZTw ML2LHAjnM2PCz3BKmJFduopkL7PLMJX8ECCx7D/+YX6Q58lvawaQP5nfxswi P4/RJP8zPz+IpXPpO5/Oi51L8zzR82Mjm7+Ic/yGczWap7uxW9EybgbGo2Pf WvdeuUVQfLBNPtYtQDjl4ng6/VkYFzJrxOIlhTu4+PID0hVOxwS5m5cr2/+d 5vpwCbOe3c4RTBU08us0bgmhl2t2zO9Rxg3+NTPpRkyG8PTCt5Cnsi+4OUuW m7f9Tucev/Kfbmz2iMte8c/iQtcn3DEP8wF1Lys5qy2e0//pF3PnvOj7qjPN O3+g9W42tF+IJHluzST/3BXSZz6C9F82Jjw90whfSCXh1TIn/IrLyJ4K2Cej SvbKzSf7FTA+g3+HaIrGPfN/JOJ+HfJgDOTFw395K5wnSv87yB3HGHbmoN+S tWeF3SGdkYsd9wuVr/8nmN6fF3r73s2R25QjVG00M3p/qJpzHzdIv8mmipvR PKXDem2DUBqR8Nr0cC3Xdt360p05XfntX1dVvOv3gntxVHmqes1Yvq1LfcZf 82ZuyvygPxopWvyqe2GPT7Z35Rvm0bdmd5pfj/U/Gmn/wmSS9yiS5J9uIX0l 6qT/lj/hsfImfFovCe+2fYT/61myp8mT7LNeSaMC/Mn8q4b4XTZAlCdYfC/r JJ5wBW9EzqRzKkDctQeRvi3wn7mx941XneGCki6Ne38OrUo+WcatUdx1T1f5 I1eywetkunyP7BFZfOOpgX8En32/Fa900eZt8/tLj9/ZzKnabO3z9a0Nv+eI o8XOwUY8X/1qcsKpVXxpspzvUU1LXk7G5aqCpj/v1etwdUy6DT8R32GY18b6 WdgvCXldH5L8NOhTEkj/PT/C820E4dvXRHiLNQm//hQaA+DP4j1k7ybEaYAZ +WMg+EEFvMH8x/gjYBTxzI1rxC9uiP9ZyNdDOMdB1XSO5iMJjwPwmL7afFUq Syp7bjmNL7+dlfDcaMpnPPGcmxanz2v2mVqzfNF6/qhD1rZWd09+2K4DnkmL j/Jf7ti7hg0O4T1e5H0M7h7LpzsXxIwwP8qXjkvYddf4f/rQxZVfpRJP8o/x nYl5R6zvI9D+bpD3DPIVoO9EPumPBZ47wCmLUQ34u8Ke5Eqy74YX2cvyf2gq +cMwhfzzYZhoHWL8/B51SMKK+Ft7GPFKCnjFFfm5FPkahTiTwTkfhb8agbf3 tOpXJbc38XoYP5j8LtLYG8XvXjv9a83E8/y1IbZZdQop/LsGN9uUwiR+9/TS B3nzr/AvPEI79xxO4dcXVtxs+7WX95vxr/KucQpfju88zJ/G+nLsz4E8T8iv h75vJqTfEDhsgU8B/t0L/PPukD1vkf+jGB8Ykf0XwLNKs1C3p4rWbVb/er+g OmmNOt7aSHx9GfXh13nincbfxDt2hZQ/CsifW4iDoYiDdbCnBvakd/VePm1N Cp+F8Y3jnM0lmYezw9IeWcmoH+S3G80ydTPNy45vWzP/9e707E0NAcMPzn6U fcXGep6eTE52EL6TMb8F602x3x/yUiBfwPgJ+oOAZxzwZQBvCPCfKyB7UsHj vuBxNdSrPvDHFvQPO1+I9jmsv9j7j/qQzaXUf5Q6Uh3UjaA6eOs78bkt6sNB 8NJ7a+KlDuRnRwjl12PESRbiZPgNsrcA9g46t/l47x0Ps/tg/BW34evRuoxs SbWVerJcbvb4A+OH2yjF8pr9V97Xe5+RXbyfvj+q0vxPrFfCfkWMIZD/M5X0 3YX+auDpgfwfCD4YBl59eJjsGZBK9k1tIHtL0Vc4LyB/nCgk/8Q0lIv0hax/ kzxIfZ7MBurvPjlSf6H0ifqLyV2pTuagTp4D308C32eDt6zAWw+Rf9HIv1TE 0UXE0XP4Y1g8+WNRos6Qbpdv8U4YVXVnbhxmLvDX7vQfHFqfw6vh2wvzSzGq YH8F5G2FfKYvCfqLgGcB8DG8a4F/J+xpCif73HqRvWO+k/22i8kf+5ej/90s 2kez/niQOvXR68dQ//xlI/VteejbZt6n/uMF+g971FFV1NEdYvXgOHgtCLx2 E/m5B/k5HXH2FXF2C/5ShL9s99quqXO5ys/FuByjHOZzsP4t9i+DPH/Iz4C+ j9AfAjwPgG8r8I4Gfl/YcxL2fUa/FbSa7H+LPnbhSPKP3zzRewcbpfeRf38P oHWFTuR/GV+SswR923TouYvz0wEOdr75wPkA518MOx4iPqJgZxHiZxzydwXi i/lRHeNK+G8SvmUwumO9PPb/ZPEI+U+gz/Up6c8FniLguwa8Q4D/NeyRQd86 UILsPeBO9n/1JH+81yL/dL0oek9jcTmmJ90DHbdQ3A5fSnxgWU5x/aGG+ELr GMX9FvCjDvLiA/jRDXnTCD7airwyBj/GIu/kwGdGyMvv4DuW1yPhn0eIu2rE 3RrM98O+vhh1IW8T5Leg/oRB/xfgWQF8EuBHeeAPgj3OsK/7Z7L3UCnZvxf1 ostm8s+B7hUi91rGk/fKqP48+Ug8at6C+1sU7lu4J0imEA+bol5PAE/noP4N Ao8fR31MAs+zOhqAOmC2mEYF2H8A9rcirsIRV/LI1y34/oP5g1gvhf1vITcK Yzb0sX5oDfC0oQ6WAa8J8BvlkT07cC9KjCJ7A2PI/sp28ofEB/KPX7noOwCr 2yZ4B5BDXZ86nPolOdT9MvSPu3DfKrhN/ZYL+oau6MdGo6/QQr/WiL6jCeN9 2JcH+xwRN88QN2nIxybwQRZ4juUn44dLWD8d++9DHuurmN6fGEcDjxbDB7zs 3nMQ/WMy+p7N6B8nJIre09Xhn09i7yasj9ylTP25pzX1metwn4lHH26H+4wr +vAW3K9WoY+VxP0gCn1uKkZZ4B8D/KsQF70Rtw+Qb8uQb3fBY8/BY3tRH3Lx zXjODutLsL8ZcbYc8jWgbyD0bwOeQxjjgdce+INhzyf04Y6wl71vzIQ/ii3I P4lKou9M7F7jivt1TRLde6bhfp1XRveilO103/z1ge5NWtPoPnrjF92rVv6m 8VgZ4WvD/VoH5x6Ic09APlWh7+wCnjIFTyWD/7XB/+xeOAHfGZjXx3rWt85B fj6B/IPQx+4tlesJz9VSwleK94CDwJ+mj/eCCrLvUzDZm4N7cTz8cQ735iD4 i/mP3bPT8N7D4Z1CCu8bvux9DO887qfpHn8U4yO8V3SvIv0j8U4Rj7h9jPuj BvggGO8UWejnDcDvwehLd6FuvkFfoIt+5Da+QzAviXrQif65HrwW+4DklyI/ f4B/tBFnNcMJX14Z3gnwPhFyjuxZivEd3n1SXMn+zfBHBPzTICP6jsnefWrx /sjezXi8O57Au9lxjKPgTxn41wnvQBaIW0m8mx3C++MA8Mws8Gz3C8TfA/Fe OBD3hoRvVBd90F/leVO/cTKP+rjw9fSdhPl3n2n9rR+03xn1YAzqQyv0XYb+ dcjPRrw/BCLOynYQ/tuw5zXsy4a9ZRjV4Q9P9r4+QfTdl71DxuCdvhrvuJ8x mmC/F/a/uE/nIodz2YF4bwUfJOEdt9WZeGQ13jt48LM13nH/4P7pZk39xKzV 1E98wT3qA+4DnbgPOI6g7xWLaH6VL603tqL9MW9J3lLU1dnQ54r6YGlKeD6n EL4y/H8wBe/QobBnBnt3hb3esL8Z/niH8cBc0Xdy8ffxs2LzVWJ+PyMWzwfE eEJaXZR/PxuJ1rWkl6L9wrl60f8X2kNE+9vIyaL3BskdovexGT9E77k7ykTf D5LF3mU+KYq+d+V2iv4/EyH2P85Hsf973Of+v/9X6C65bM6H6nhd83c3Bm7s 1mVy3/YB/PyRWlMibh98Z9Z1sr5jxPg13tFyBlH/xv0x9ygx+FsYPGhrlafh D5+lf7g1bwx7Bs9QbvmoaZS1vr3Cb4OLUc7s+oJTx33++83m2Xq2n8lj8pk+ pp/hEcd3c2lOv3v2MtznjFqz946jBBvtXgvHJA8RwlvfThn8axlnePhqh9Wf 7UK6d2Xcq6nBgrS332G1mSe4lCeVttE1Z7gA4ws2m1rXCHvSr7Vcjg8XnurS N5dP8ylYf9eL9muHkbyzkP9Wi/QNyyT97cAj7r8i4Dur5sm1yQ/n+ia9ej81 04lL6yJ7sX7aHmHNgt4ZQ3+d5QK9lmq8Vb/CxWw/M8VgbZog7aekvGVXhHDt gK/s+9CXXGp6ete2oPdcIb6VMJ8TROu91tL+GRYk7zLkR18lfU7qpN8ceMXP NxT++4T1r13SY9wS9ghvfqeerbC4xJm+PlN5weK64Ob0SL3xyEvhSXGPjDV1 77n7pRfPBbr34vPDjixqzhnCS6Z5KpmMVeIFfF/FfMQzWh+3mPaPrSB5zZD/ B/qWwD+NwCMef5fg/2zYx/brj6z/9aDvbUHYd8k55lS8UHGrs879ZSsXfab5 W7HVKH7e8rla3kMW8Fc1pBU7xnnwBm8M7Q6ne/33ewrmbbHeFPsvHSN5LSNI /jvoi4J+L+ARz4+0QxQvT+fTedwvJ3sNT5G8P2GmPRaqv+FSdoSNlVg8js8t nBLpscCPH9Vl6PxDE0/xeY9rP/onXuYTyxXcwrte5+/hWxXzZVh/Npj2Bx4l ed+Pk3wt+Hcs4mEw4lc8f58hPywQf/1wviWw/z7k35PsU/0pJpgffvDSlecm 1/k7J+pyE7o/4bctOPjAR6eUn5RX9MXoYzkfiO/bmB+B9TnYbwx53pB/FvHw APF7Cfkmzi8maykfA7ZSvPdC/GXivB7BH4Ohr/Xr1wnbGkv4xSPv7N095AP/ bb+KXURWHT/6+1oXk6Wf+O/4dsb8H6xXxv5XkHcO8vsjfqORn9+9CI84/0nd J/6ot6X8LHlJ8b8b8TUa55cF/yyBft0x011KrD/xMieKNkzPreYfqtVXKRx9 yw/EN5tneNl+ZcjTh/wI5NsBb9KvDL4T52eVQOK7N2HEJ58PUb7mIx8ExNtG nOcX+GsA8KS/H7qsW3A+P8L6x0r/wEw+A99snvl7K/bfhbxkyE8EP5gcJP19 pxEe8frxM4f4eUQG8V9oKvHLUuRvEvJjAuKPne9j+I/hC3Y6eP9A42FeCd+F mB+L9drYnwB5epBfAX3/wL9rMgmPeH07s4Xwz4c/O+HPAtj7APZvgT/q4J/+ 8BfznyLwZYn5sx7r2f5syIuFfGv4MwP+HOMi6k92/rF5FA+LbCg+/iE+wxE/ jF/uiMWnFuJPGnjuw3+y+NYWi08B+1m820C+E+LT0IP0H38kGp8sn66vofyS RL4vKKL8UzxL+fgQ+cn46Bfyl+Fl8ToG51uLbyfMM35g/PQE8nYj3zPAL4HI dxlv0Xxn/OThQ3yl5k38tRr8+QH8Nhd8lw3+Y/pY/gbgPLUQf1vE+HMY1jP+ VYS8gVkk3wb6hkH/dB9R/mR8/w/16C/qUSTqkSXqkd0J1A/Uo/vwhwrOj8Vb PPIjC98jMM/41xn4xoSTvDNHSP4l1KMQ1KNIsXrE6qdEG9VT465UXxc0U71t R303CSN5RfBvFs6rD+IrHvmgjfy9ju8ZmI/F+qfYL4N62QXy61HfL6C+x4jV d9aPbNCh/uQc+hVVV+pfpgPvEdh7GeczFPXjNeL/FfK1EfySjO9DmP+K+JuI /T0hrxT4PqJf+oN+7YqOaL/E+rt89J9zVKj/2w+8yvBvA84jFfW/GvEev5Hy cyn6zWjwXwj45d5qmo/Hei3s94S8O/CfHPR9Qf/7JEO0/2T9cjL659OYH6ZH 9vRHPLQjXhQR3/7IR7UC4o8TGsR3J9DPp06l75jHNN+Jeh2GfscS8o7jfHux /hf6r4j18/9b7kctOhtDRl9dpOeX+EVqfUc/bg9G9rtnkV3r1hXKgq3cqb32 g1SEETOiHMrlzk9esWueTtVyLW6AeZfJpis0uI7L5/u+m3lzitXwifXPH47n JjWVKw4LWMiZ1Twytl19RT/XwmmeRr2vkG+QINfv7UZh0N1LDwd8CTD4c6v4 aZbaAc7DyUslpsZFiLuR6/Vu0SjDrwP0szhrW+Ga8/2X8/0PcsciM01VZeIM dy55dKNX7lnhme9Kg6Sjwdy3LoqDddt6G/WfOFxOoUsw5/WlOcPWKlAY9rxs 9XmnuUYb7mQcdnO7wE24KJX0btNeQT5d/1j8q9VGj2/T70s/03r2+y4tkhMJ +UzOZ+hVWUp4mF7jwYRzuyPhZzhPwS5L2MvsKoQfguAf5odV8Jsf/Mn8FgI/ 74f/mZ/P4lz6XaXzYufyV+z82MjmdSBnGfY3vht9p6CnDiddRaPnk6SXs08P FBR+5qrlL9Pg7Pw7ZGUGeglSL1a4frXeIKgY2h6/c/gE5xZfmXz2WTiXvaUx Q2VrovBriMmOKQvDuTqfoWeGWp8QVv2J6T6tMl7IuzUv1yvjMcebteY0WkQK 5+ck97xa+4g7v0y/i7pJMle9P21FU5+nXHKSVG+/9FvcugP07YT5SVi/B/ud skie8V+Sn+xN+r7Jk/7pwPMnjvAZA+984N8Fe2qbyL5A2DsR9uthjIZ/jojF PfN/oRmdkwvOxwv+csgneam2xosnBnoL9zB2aDcNlrp7kgv+/cF7wedT3Mpu hn9NZ94Umnt67R49KFlIq479Pm1iLrdTyXDKXOc7gvd3JdcBy0o5y963nC4v f8odzSruYXC9ktPfn2aSZ/qe63tsQ7+4/TL8+Y3KxYfX13EKJq8XWV1S4k+5 ptmkjfnOyeE7APPDsX4q9m/LJHmhUiRfF/pWKZL+ecATCHz7gPcR8BvokD0/ Yd9MOxpXw5/jf5M/DsM/qWaiPMHi2xd5oID4N8I5aeOcLkFfE/zX3nqXL8rK EPIxXp0SMKDcvJjTCvAz2Kyex3VuUj1U/bxUiHxuvtj9wUdupEVNv7/lEnzQ ohOV27PruPY/P4IKbU35Ddm5PnXHlPkV2/qk9Aly5jvHFVu07jPmzX7M2jF8 7ir+5/CU+yOUZ/Cz8N2O+SVY74P9vf+SvEp7ks9BXy/oLwwgPHYbCV8a8I5o I/zDMJrDnzmwNxv2z4U/QkaQf1zFeJXxR7s+8Uws+OUy4n8A4t8A5+iJcyz0 JzwHgGca5xElUVEhDJtG48HakbsmLOjP7xxVtPb+h1Sh1Ct77Nguy/mu9iWF qhYL+cCtzwJfWITyw3JWhMxZ68+HH/J7G9j/It+x4nFh6MpQ/qJFcNmrsGt8 0aV5lg42R/hYfP/DPFs/Fvu3Q54a5L+DPqNupD8DeD4AZzxG5k8L+Pci7POF vZNh/1f44zH8M0OsDjF+tltCPC4N/tYeSrzybDPxigvys+495cdJnLMpzjlO ivDOqSO8RfUphd03e/KfMR6ZoHDigHwEn/vZSGrippN8fYn2fu9uObzTivES Ozel8Rrq+vOGfnnGv7G2DTP5kMtbrbiRuHRgOX9w1mgDe89H/EJ8V2BeHesX Yf8PyLsH+SegrxL6azAuhD+9+uF8gV8V9jgj/yVgrwx4dRl4fif889VRtG6z +rfCieqkbm+qjw/bia8v+xJfJ/Qi3jkL3mlwpPzRQf7IIQ5KEAeZsCcc9sgF V8759SaXH4KxULN6Y833Sn7fryRdpY9lfPis4Sn/ptfyfZ/eqFc+Uc3XRmfa +Tl84h3Nza6OCfvIf8R3H8yz9aHYXwR5CpA/FON56H8IPG+AbwzwugN/vQPZ Ewv7QsHjJqiPvqiPD9HnBIn1Oay/CFxNfcjbxdR//JxGddAcdfXcPuLzCXeI z5+Dl76C54aK5ZedWJzshb0FsLdBOej6uri6/46z5kzeIaFWyx/+IWjcLqjj p/Tov3ONUhV/0XjJ0+PDav/7HY55tv4H9jdiLIb8PdDXCP32wLMJ+BgfdAOv usCevqh/3VG/6mF/wSzyhy76s2gf0b6Q9W8z/lKfZ21A/d0ND+oveHPqL/L8 qE76oE4uUSe+Nwfft4C3wsBb5cg/lq8sjsIQR0fhD1P4o71hwFo9uTK+FeOe Z3tULX9l82+eP5BvcyjiQ/HdgXm2nvmT+ZfJZ/qY/krgOQR8f4B3LcOP+jUM 9o1EX7AW/ZXacvLHPPS/5t9E+2jWH89KpD764j3qn4+kUt9WsZf6tkxn6j+s 0X9ojKA6OgV1tBj1IAb1YB94zRq85oD8rEZ+xiDO9BBnVfDXLvjLNPzq9Mn6 0fwMjGYYmX+rsZ7FaSzksfxfBH1MfxjwRIrVr9nA34S+QBX2tbuQvfroYz9c I3/0Esg/QbGi9w42jvxD/s27S+s2IB4r4cepG+h8LKDHBvFoDBx/cb6srrLz t4EdLD6YH1n8TIYfWJwxP7KR+W8vvtnI4tEA+1l810A+41lWrxge5kcWj6bA LwF7hsC+JH+y920o2b/DjfxhBT/6/BS9p7G43Ah+TJhCcSuAH3cir0+BH5ci 7h+AT5yQF4rgmyPIG1ZHxyOvGF8dQt59B59NQ17OwMjyWh/+eYu4E/f3TKxn I+NHVn9Y/WJ5vRh4GO8oA68t8B+EPdqwLyyU7M2D/dozyR8D9Mg/Gt6i91rG kyqo1ztRZyahXpdlEs+OQL3+IRAP+zhRfatHnemF+rcXPH4X9bEJPC+P+vkU deAJxnrYfwT2H0FcsfyMRr5+wHcY5g9jPaszrP4z+cOhj/VXrF6HAN8A4G0B fhvcDyxRZ6ahXnO4b7qiXteizsQ7i74DsLqd4kz90GZJquvx6B+L1lHdH6BM /dQN9AUl6Lcs0TeUDqR+rBx9xVv0a6yPO4aR9T2sjovHTR+xfGQ8x/pHKcyz /nE39jdAHpPP+q2jGFkf+xb48nE/qJlP+C/BnibYJwV7/8D+UPjDvhf5R95Z 9N2E9ZFT0J+vQZ9ZjP69E334HPT33dCnPsB9ZhX62OdT6X6wBH0u63e/AX8Z 8D9AXOxAXLB8O4h8ew0eiwCPHRCrD6xPDxPjD9bPsD6f6WN9+BvgeYZxDE94 U4A/EPeZJbDvBOy1QB8+DO8vcfBPsNg7E7vXvMZ9sQn3njDcJ11wL+rRTPfN WNybLHAfLcO96jtGQ+A7ivv16wF07gqI2/7IJ9Z3sj5uGXiqFfw/DfxfiLpq gO9fmGe8poD97L4+CPINoC9ajvSHwF/ncB8MB97zGD/hnWAr7LuA+7U87DeE P+7CP15i73Lsnh2B94tS3MOl8b4hsZHu6a54/5iHe7wNRk34Mw76j+FcrXCu n5AvHcgXO/DQ7lvEQ6z/bThK/P4bfZwk6mYH+pEx+B6CujoJ9WAz9ncBrzlC /gPoOw79Q4FnEPA5AG89/NeK9xdl2FWMdx8L9j74i/whBf/cMRN9x2TvPrPw njYH70Kv8P74+T69G61+QKMn/DkI/m3EuW3CuSUhH7KQD8W4p3qCZwTwty34 2wX3huFzqS7moP/1xXujL97NytHHfUY/oof++AHq6mjI84J8XehbB/2jgGcF 8MkBbwzw28JfzfBfxmOy9wDezX7CH3bwzzyxd1/2DnkS77xL8U7phPEm9o/C /lbEqb4incshxPuQBRTvHHikCTxiAX6O70v8/BF1rxl1z8kc90+8t79zpT7N FO/pCXjH3Y139+G4V5zUpvVWuK8FQZ4/5P/sQ/okoN8TeL6B968jPw2AXw3v hd/x7uoFeyXxfrsW/nDDeChR9J1c/H1cfF5fzO8uYvGcL8YTKWL82+gkWteG iv1vELpOtA/7UCfa306PFr03CGL3sfFi99w1Yu8H4v+nWIu9d60Te0d8JvY+ O1vs3Xvv/+d/hd07E+YEfopPOyjfLszp1SU9YEb80u/KWjcXLtqvZdRrcoaB 3ITc3XFymcNrEjauWVWSWV8aHTq41vPWh7+Nem/WvbkVkCSTOPqbZpaq+rAT aptcsvh5efesT/v895vNs/VsP5PH5DN9TD/DI45vr+HZZ+ldRnNaq+TuVmib CUdKM2yVhrtykQ99P3R/vV6we+vRrcuoDZx+7U9X3S9xXPcsC/t7AQeEMuWt 1ut3XRfqYxXd/QqiuD5jx6+6nn2bUzpL3x5jaH5IO60vfEP7XzwnedWPSb7z K9Knupr0PzYiPOL+Ww98AT53Twz39+AqrM73VR25VbhlMsute2cYV1U4er3N Fk/hUf6kvff6PxMk1j4N97/4UNC11i036FrFnV3tlvVD9jsX3GjgtD75Ozdx LX1Pt6f5WUto/daHtD9nN8nTnUXynWxIn4Yv6XcBXvHzVYb/di6k9X7C1DHr ToZzp7RSY28WxQpS5yV39FxwS+hU7rzeOuYL97HbzwPN+l14v70OiTqfhvIt zRPc/ppo8ZuCvc8PU53My7XQtx3mJ0nQ+gwF2t8vjuQJeiTfJpv0tcI/yvCv ePyFPCL/L5xG9tXr0P6Fh21jev65yRmvmmb0e957zjHm6AQDoVu2isW/czdO 8nx6oPHCEH13fmPGq+JLJ/z5GLtOwX1qIL8V31cxn7iA1kudo/0+a0ie8QWS Hz+F9CXBv5r5hEc8P2a/pnjRiqLz6DhD9kqvJnnZU4umfL8mm716rSofsnsp v+fV3urPV/bxyaUhvMfiSP7UgU4jq+fxfLq+q6Vy7hV+N76PYd4K62vX0P5D JiRP3pPku0SQPpcY0t9WTnjE83dfNcX33ScUP7dH0PloRJP9SsC3ckz2KznJ Y/yb76Z655US+VsrtPYlCUm8WR+XlGUlJ/lGVb6q/Ywjf0WKvkdhXrae1m/D /hrIS7xA8q8jnvZBf+oHwiPOLzkPKB8vu1O8xyH+zHBei+APSejrN6Xjq7PF Rd6wxb9nvGxG9n2zDTtyt97P7lT0Ch486UH2CHP6LsR8+2Ra/xP2LYW8yZDv 2pX0lXqQ/shiwiPOf36KxB+rbCk/K/dR/JcjvlJwfl7wzzPov3u7Q7bf8rzs 8sBvab624dkj/86f53k1lm/Gdz3m07HeCfvPQl4u5EfvIX0Z0B+lRnjE+Tnr CvHdKfDLW+TrbuTDFcTbOJynPvyltI3w6DgvPBkok8MfrtAoNbyYxc/B90zM e2B9NPZHQ1445K+Evm1epL/sEuERrx+DJxI/a38j/rsFfrFF/j5DfqQpUPy1 4Xxv/CH/bQO+d5ekNZZkxfM5+H6E+R5KtN50IO1Pg7zVkL8M+q43kH5/NcIj Xt8iUwh/d/DzVti3Hfaehf0c/FGPeNy3hfzF/HcU+Bbj+xvO3xb+zMB+N8hz gnx78K/jGtJfc17Un+z8K0ZRPDhZUXz0RHw2I34yEE/zEF9/EW91iL+VWwnP Z/jPHPg+Y94N6ydh/ynIK4D8KtQDBcTnkVGi8cny6Vcu5Vc18u0b8s/cQjTf PyFfPyN/F0D/APirF843F/72wnwb1rP9KyFvPuQnQJ+LJ+lPqxDNd8ZP/lXE V6qPib/egj+3RBC/BYPvNoH/iqHPHP4JAH9OlKf4u4TztcH8L6yPwP71kOeF +rRjOOnr/oj0m70T5U/G92PQvygFUj2wjKX6YIr6NhD1oxP1ZC38cRrnF4l4 i0Z+nMR3FOYtsX4F8HlMJ3ntkP8tkfRp+ZP+yU9F6xGrnzdR3/OnU31t0qZ6 m3yM6m805ClHkf2BOK9QxJcv8sEN+XsU388wrwM+f4L6Y+pN8mxPoX9Av7MR +lc9FK3vrB/RQb/Ujn7pzB3qXzwn0f5zl8je3YiHb6hXtcg3HfCDNfglBd+1 yA+bLrRediTtn5xE8oLhD8ss0udhSfrrXoj2S6y/y0T/+Rf9Zwb6qwzY13CU zsMN8ftpFcX7EvSfJqgPXcB/98AvHTY0n+ZC6zOxv8GY5L0zJfmewKcE/bdW ivafrF+WRf+cB7w74N8RiAfDlxQvz99TfKsJlI8nRxJ/7LpAfGc3ivh580V8 j6V5rc+0XgX9zpGHJK8G53sP/pMAvtkGov38/5r7UVV21y8pi26smzTfJ8Bb hovEyH63Cl/uv63YUNilMNjY18VEaAt55+Q24nz638XHh2365cQtPfewKlPK hXOxOKEybO7Nm45R9npTjvgLtoVfrLas9BOi44vkg3yvZKSs35N4dv1eLjJ5 pWqUxypulay/e+KPgEzPGft0Jw50FWYYHbx/5Np5TvH9PkUJ51G3HshZd16M SBUsl/sP3aCxmjvnvtPcfnDcLYk31zRndQZyda0tZ0otTwvui52u9fnXOys4 xGyt588kLi/zWqDf+R3CEQvXlrxlc7O0qk7MHPk/v7v0kjdcLe3K9X1YVvD1 zeqsRx/o94w8Ws9+77Wb5Bzr2vof+UxOkE7yf/QqfdjwHzxMr5Is4VTUIfwM 56cpZFf6JbKX2WW9gfwQ+pT8w/ygGk1++wp/Mr91XUJ+1h5G/md+zj9K57JO h86LnYuTjuj5sZHNb8E5zsa5TuY7dy4vcubkMNZ8btf+pLlFiB352llxUIBw fPGdBaVDjnI+m2uy5uru43redO/V6RUlWGwbvWB/zCqux820uU4Trwsuuo9U Dn69JbysGxEd0VrMDYp9vMtlpq+QU7n03t+uiZz8K88eqtEPONeZUSYaf59x eUvCcs5MusdFtXWT0V7wnbNwnK++KzODk8V36lKatzOj9U1ltD/jCck7Vv3o P/KHfyR9YyaS/vUZhOfFGcInnUl4EwMJv7sT2bNHkex784XsNTIh+70wVsC/ xsNE4575v+0snZO0E52PEfxVAf8lK29bc+dCOKczikal3mNHJ3yPE5IX7g2I NowUDnSTmv41PpqbVBpvNaHqmjD8bKFfp/xzbvi9+rdjHau4Y920DKpKfwh7 OvbM1vf7wBVW5aRLb5DmNSdVGM3dXc2lVkgbaEtr8LYH6l6Y9ujK+34MakiW 0OXvFq3P1jfqy+/Htwzmh76m9UfH036HDyRvZDPJ1/mj+R99Rtmk/8k5wtO7 kvAl9Ca8v6wJf38psuch7HPF+Aj+HAf/TkH8xojxBIvvJeAJBfBGGeJMDXFX AH+tgv9q+6ut1dp2lTvUl8Zj6mbtu7MzuHVJr6021FZwZbo9Dz6fKpGtM8Az seev34KV37aAF+Mn8znV4VdLM2X5NbPbzBrfOPAj+tplJC2ZxodvupzxMd2b N16THKpqb83rmf3eU/NyE3+0yadr+FkH3hjfapjfj/UDsX805GnVkHy/9aRP vy/pl9UjPAHXCZ/lEMJbMYjwzxpMoxL8+RH+/QP7NbeSP4aDH549FeVVxh9x l4ln7P2IX3R2UvxXp1P8Dyijc/zYi85x+lXC80eN8Iy07t92W75b9gGMnVte WUT5mPOLJz7dpKAzjU9M+WFr4OjPJ4Qk6K4rXMOf7eUzY+iDY3ynzKcVzgt3 83nrrKOfTInlv78Z0eEXe4w3c+FqEi9f4XvLypu/6X6a18V3C+YTsL7vANq/ E/J2Qn4Z9BVMIP2WgYTH0obwxVjR6CZP+Efj/E36kH1Rr8jelgyyX3EP+WOQ P/lnT4JoHWL8nKNPPJ5sSvx9fhLxigCek7tL+fHxNOXHIGk65zTE3Xj4qwr+ W/BrWfsUk638MIz/No85svpbFH//TOvDLkoRfNqvYOf6P8n8eNlvr73SrvLS ew5OnmYZxzfMkuVqR1/nZT2aFm/3DuD7tlfl/dyfzAe403cj5u/tpvVTsf88 5OVDfgf0WUL/UIyO8KcU8I7SIfy5MmSPBPJ/Dey1Tyf7a7TJH1rTyD/rDETr Nqt/llOpbrsNpvp4ew3VgzO1xNfvW4l3ZnQS72h/oPz5g/zZgTi4jjh4Cnva YI/rBqEkuMt1fiPGuRcOj78WdSx7yq3kl9zIHTxvP/DT4Tf3sg9MnRevKdzI tnltdL3Y9UF2yRU3f61FQrYDviMw74j1R7HfC/KWQ/56jN23kP4C4MkBvtPA 6wy++Qh77CSIx1thbwPsj7Emf7TDPw26on0O6y/etlGfY9KD+o8epVQHh3yj OvhyIvH5EPB5Yx/ipdPgpZ/IzxPIrymIkyjEiTLsrY0gew/98Pzx8u79bFeM xc/kdE0NM7JN3AxGVw+5ly3rUM7vHhLJn6mp/Th1fEb2S3v6NsR8Btavw/7d GO3hz5+ZpC8C+mcAzwHgkwAf2AL/WPDskmqyb94EsrfqMdm/+zX5I7KR+sLJ XVpF+kLWvznFUp83eRf1d9sXUX+xbQ71FzGok0dRJ5tWE98XgO9/greywVu1 yL+7yL8qxNFMxJEl/HEA/mjq81tmZ/xNfkhfGp957LFf9PEOL31+nuXqK9n8 N3z3w/xQjB3YPxHyHCA/EvpSob8ZeNKB7xfwXgV+WdSvXbCvbT/Z+3IG2Z/u RP6YcID8I3FftI9m/XGVF/XRZyqof9aeQ31b8R/q2949o/5DE/3HetRRS9TR cagHE1EPuoPXEsBrz5GfTsjPB4iz2Yi7n+fIX7nwl1zPAAUH2WR+MEZljDmY Hwb/fkKc5kOeD+TfhT5vN9LfFXgmAd9Q4DUH/sOwxxH2/UO/NRP2q9mRP57g 3mEyXPTewUat6+RfP6yTRzzGQ85IxOMY6BmF8+OAoxXny3B+xvl3wI8fGK/B zrmIn2Xw41/E4zv4KQ+jEvxXhm82PwLx2AQ/zoQ8O8i/BX2h8GM78CgDXxvw 9gZ+L9gzE/ZtQDzObyX7DV3JH824pyXeFb2nsbh8/4v40RF5rY57wincG3qg X56DuB8MPklHXjSAH+8hb+TBR1+RV1/BV9ORd4zXUpGXzzDKwz8N8M8AxJ0Z /N0L8+lYH4HxFOSxerUdfBwF/XrAcwX4OoDXDPh7wZ5hsG8i6kHTdLJ/KPxx H/7Z1d4icq9lPHmYp/oTVEA8mhxM9UnpLfHsoTaqX8HviYfTUd/CwdM5qH+n weOlqI/x4HkH1E9L1IG7GANgvyXsZ3EVgLhKQL6yeq2LeVest8H+TZCngdEN +mKh/yHwbAS+AuA9D/ySsKcO9yyfdrLX/DPZH7CY/BFUSf7J0fQXeQdgdfuL HvVDRoOork/Qon5pLOq+bQ71U13+Ud9jg/4xF33PP/S7l9BXyKNf64q+4xv6 H9b3nIV9zxE3nxE3icjHfORjAnjuO/ghDfMq6DcTsD8G8li/0wJ9rG+dDDwP ge8x8F4H/on9yJ74v2TfUdwni3BPn6RJ/rCAfzx1Rd9NWB+5Iob6cxMd6jM9 zlH/LpNJfagC7qUq56lPDU+m/j8afXgO7jE+6HN7Y7QB/tPA/xJxsQlxMRn5 loF8awWP6YDHBqE+jMN3OebTsF4J+49AXgXr86HPFPp3A08mxuW411jivvgz hewJjSD7TN+Svea3yP6TV8gfe1XIP5ZRou9M7F6Tgvu1Bu6Ff3C/9sI7jooV 3Tdvdqd70zJpuo8OH0v3qsMqNGoCn9lkwqeHe8NvnHse8mkV8qk7+rhQxrPg /wngfxnU1an4bsR8MdY3gufsIe8w5H+FvjbEXQH8VQp8kqMIr58yjSV4J/gh QfZpwt61sN8S/uiK98kJhaLvcuyePQHvF2PwTmGF9555uKen4L0nUJLu8dYY /0C/f1fSn4Z3gJu4X01E/meCDz7jnWIeePYV+vku4HdF1M3pqJu70Y9sxXcb +lY3rG/F/jDcD1Z9JPkxuJc4Qv8CxFnPVML3CPHgjPcWz15kjylGa9grDfs3 jyB/OEWSf7afFX3HZO8+z/H+uBDvZsfw7qiCdyM9jM2QHwz5Mjg3Z5ybMvJ/ LvggHLzqDZ6tAX9HNhF/t2pRXWTvicHor7rjvTG0mPq4J/h2x/z42bT+Eurq qWySF95C8t9CXxL0X8giPHPfE76DwHsa+D86kj0qsO8y3gtTMWZy5I+1eF9X VxB992XvkKu16Z33Id5x72I8BH+awr8hiFNdxO09xPsVxHvjWeKRAC3ikal4 72gCPxefRN17TnXv8wvqJ7R2UD/R0xl92lvq04oXUf/75z19n8K9YtJ2Wu9c TvuDxtB9tmkEyS/EPdgN+i2HE56Q24RvPfA+Bn59xNkMxJ0e/BUA/y07Qv5Y iVFOS/SdXPx93ElbdL5WzO+rxd7lo8R4IjVOlH+jJ4vWtQZ70X6h86doH1ac LtrfKv2QE7k3aKWL3see/xH9/8Onm+j7wfwpou8ykWdE37v2iP0/E3pW9H1W Suz/nnSt//f/Cuf1zhhmmcXoHou6kHz5Vofevd5NLhoz1aecaH8avuHHJH0p m/U3W30HGlwrGLqj+U+hwaNTI1MfzHQzfPZySsro9leGrSeTN+b8HWf0Y29V 0JTnjkYb02fEne61+r/fbJ6tZ/uZPCaf6WP6GR5xfBKzdwUv6SXH5f0uVcuY MUngA6IVOmZO5rT3CWP1wxdy+1/FyCj+DhBetP8M7Vw0Sdj85MeoEUbHuIfO FRVvV4Rzr3cdmbtn5jJuVc+uQys9fYX8PfQ9agnNv39E63vW0v5jpSQvbi/J 19xE+mSbSf8a4BH3Xy7wtX4fez5u/wzubdjou8ajVLiakDjrgkuBgpzu++i+ ESe51/ODAg+VbuPkdMpVtrenCIaNW2sWJWZwJ1cFZKRVVHG/Dv166675ibuD 7+pfNH98Eq0fbUb7u+mQvP6QH7SH9O2tJ/1jgFf8fF9uJHtGhtP6rIJFU8r8 AoVDXZ+P7jH6AmdX4dP+rf26sMlj00sZqTvCw9OunTsHN3IzyuI6dy4eyF/4 8nTS6LwxvIe3WUT+Rg0+Ft9jMX8J63k32t+3nOQ96ULypaDvxUHSfxfnKR5/ tjjft7DPFPjU3Pa19HBKFb6WBb7Lt4jmtGXi62ctaOUsXI87ei7T5h+NSDKK KFvE60xYbOW70IcPfP5TZV3pBn4yvgsxvwTr0/vT/l1PSd6g5STfFHg/7ST9 aogH8fxoR7z44jzmw16zZyQvceEqPQencu7Gnz2eLa6z+Oanl6y6n97OO3Uf urKgywU+4rvOvKzr1/hf+0dd8HmUyp/DtwvmuxfR+nbst7UjeSr5JP90GenL 1Cb984BHPH+D+/36T3zbLqT4acH5HoL/GiFfeLxz38Mp+/nql5E9XPuk8bpm Ek4zffJ5naGlc4vWlvI3F3R5EV5ezmvjm83XYP1t7G+GvGT4t8dy0uc3g/Rn PaN8E+cXlweUjzMnUrx/O0XxdA7n9RX+ewN9pUFXdYydnvNeg0wXHdlRzVvs 7X55241a3l/jbHyfhXX8PHx7Y74S6z9jfy/4NxjyIxG/N5Fvf8EP4vzXaEv8 4fiH8vPsK4r/ZsSXI85PG/5ZC/258m+zFi+q43v8yP0zMKKav++z6faGHu/4 nvhm8wyvDvYvhryXkM/yrfA36ZdwIjzi/HxHm/gueg3xyVjkqxny4TTibTzO cy78xfBdHJ6xenXEU95z/65z/ZSz+Vh8M7zMvyw+WPzqQv4W6JNfTfpVvAmP eP3or0v8HHyY+O+tF/HLUeRvM/IjDfG3AefL/MfwzZZJ3uaueY73xvdDzG/E +nTsr4c8xg9a4LPTYaT/gDzhEa9v0Tzh5+FPLdhnDnsvwn4t+MMM/mH+ioH/ VgJfAr6Zvxdg/STsPwV5EyDfF/p6wp9Z60X9yc7fGfHZG/F5HfHZcyTFz3LE k55YfAqIv+7AkwP/9cL3XbH4ZPm/BPJKEJ8TEZ/FqF+yS0Tjk+WT20PKLzVN yrdS5Hsq8vEX8v2jWL4zvHPF8t0c32y+DOtrsb8J8jwh3wH5/kyL9O8Qy3fG T60DiD+vWBF/NYM/68BvNYzvxPiT5f9EnGcq4o+drxbmP2B9Jva/gLxB4Oed 0OdoSfqH9Pglwp+M7w+A/ytQD7agPtwrpHrRz4nqx0vIb4U/nHF+LH9ZfpzE tw3mWf36jv3SqEfSJSR/O+ofh3oo+0q0HrH6OSSU6um7XVRf/6C+O7lT/T2F +jkc/vXFecUhvtSRD+uQv5Pw/QDzAVjfDfslIM8Q/UMk9A2A/nv7ROs760cW oz9pOUz9ykn0LybdaH8L/Hsf/U63MxRPmxH/WcjXzeCXHHybYj4R8bcK9bEc 8pSAbx/0LT1C+i9uFO2XWH/3Gv3nP/SfPug/P8A+NZyHO+qvOvrPVQ2UnwPQ b3qj//TF948mmm9EPZzG0f6FrP+EfDP0k0+h/+pv0f6T9csa6J8ZXjP41xbx UIH4DXxN/UER+vl/LsQfHQnEd7vau/yHn+su0PdP8Mu1x7Q+9T7tb4S8jTjf NvgvDvpfm4v28/9b7kf2a9atO/DNRi9JdtBqW5P+XA5G9nvqcROPg6bjhNFl eydPXqsp9JCRsTqQdnLyjX0Gh5evmM4ZLVrRcuL+dK7wTeh6tZaUKaabuvU/ njtfGOV90y6IkxVubCq7puZwSf/9mi6HVtXYC1L+y8yeua4TdEx++xyf72fg sWflp/V+ezjTmKThXg5ruAtz9kRnfRphOHqpif1w+/1C3MOrjotWh3J95Yu+ uOZHG9p833Kv8l+4YJHkqv08bB1XLDmmfq96D6Pl429crNgczmUtNFsxetwm ofbdA2P1ebOMjPtN9J7UFs0FDjlVUnJkpzC2S4azd7KH0fO+9Lsm1rPfP0wg OfMTSD6TY/iV9D66T3iY3i3AWRlL+BnON7vJruMbyF5m19fV5AclH/IP80O3 zeS3I/An81v3UPJzCvzP/Kx5gs7l7CA6L3YuBwaJnh8b2XznK5ITh3P1PWkl ZM+dwW3FqGwaNdPHy044tH7xmSwjS8FwsI+C1HATrue7z4suDXYVCkN6Jlkv 3seNn+7ts1PxCOe1fMGSYaFXhTtdr84oLvMUojpm9XmieIk7JrMpM6P3JaEj 5nLSDKd8Trv2ovuVXv7c5i9yDZ02JVyxQ4104dBM7kyQSsCpbm+4WNUd/pJP 73IDdtD3Gcw7YX1UE+0/AXnO/Un+uD+kz6M36X+6jPDcnUb4PIC39C3hr5GH PX5kXwTsfQn7X2HUg3+vi8U9878EzukK8sAW/tKAPPmWfTENOerc7Q4a1XxN FGIG7+FWN2t9TS0+xB0LW+lwWjpF2HxARs22MlnYEzX9iPGhJ9x2lWoth6b9 Qu7f86Ea1sXc+g9pfIjnC271aa/H3g/aOIVf2d/nTKvj+uzyuHj64Qj+Ml9Q IPOkmXs09VXV06Pq/N6KbL9jGzq5XHwfwTyH9QE/af9dyOsP+cXQFzyS9H+N JDwd+wmfDfDaAn+mD9kzukfof+yz6SQ7j8L+RPhDEvG7VIwnWHyf86Q86ALe 8EOcdQyic8qAvmbo2zLpmP/5b/9TbzDGDwjoqRpVxC3bPy3n6t4n3NpTy86d 838jfB+vuXXsuHJuw5W7xzKvK/Lt51IyjEy680t8YnttN1rAl+u7WdbXTuLj frTvVHrkwa/SblrmeMeMdz21afIYjfX8IRX3sHVdLPnl+F6G+Visr8T+5ZDX 5zzJ3w99jRqk/+kJwrMylPDpAK8j8M/CeBv2TYS9p+XI/gLEbT78k+8ryquM P/LBM6fBs/mI/0zEfy/E2RqcoznwLAeeliwVLjv+gzDsDo3G27Pajzlo8SM7 6z0D7Ebxs9uspP+Zr+Wz9vCGsz4781vtfH47xh3hi6X7zVilG8SvXnbH/eqq OH5h9apPHxOP8Fbnrg2rDU3hr87fvqsx6cR/v60wvwbrX2J/EOSVQ74d9K1k +oHnJ3AGYZwE/F1hjwXse4W4NYf9MfDHNfDvng2idYjxs1M08Xg9+Hvon0QR XmlUp/yoQn48m0DnfBXnbAi8i4HXe8nOwj8f1/GBGEdfHzXqYl407yCvd8qy 4DyvcGqKTsvFu7z909t2wzxu8psN8tXc1pTwMV4NGa+C7vM+s1XHNg0u558e XKDe3vD4v99RmGfr7bB/GOQthnwV6NsI/dswGgCfE/DqAv8HxG0B7AtRJHu3 wf5Y8GwG/HPlkmjdZvVvUC7VyYHOVB/f9yW+/tNOfB3+nngnuZN4pwT5E4T8 ERAHMxAHC2EP899yneeZnwPu8x4YM26VhnyMrOSltmz8J9FQxn+PdPW/ubiG f+Nr6PCubzU/O81k7jjzOn5s6+/jtSUfeHN8v8Y8W98H+7MgzxPy2agB/c7A YwV874C3APjHw54JsE8CPPsX9XE56tdx9A+GD0T7HNZfvDhLfcj+z9R/nFaJ +U8ddL9IdTC9kfj8+Bni82EGxEuzwEv5yK/tyK+FYnHSG/behL07I02Gj4+o /e/4XD7Oe/ihGt7r04Hryt9r+f0xg+MLzar4+1M5XdPgmv9++2C+BOuDsT8E 423IZ/qGQ78t8DA+eQG8/sD/AjzbgnplhPp1Fn3A0XbqC1LRn22NE+0LWf92 35P6vEpt6u8eLqH+Yuxn6i/eTqU6eQ518gL4/iT4fj54ayV4K1Is/1gcfUUc +cIfxfDHSJcuKYrjyvnhGDse9HmS13GPb/NrfpSt+YzvxLci5pUwMn8y/34T i+st0H8ReDzFeDgJ+FfAnhmwbzr6Ajn0VyMcyR8nJ5J/JtqL9tGsP84cRX10 hAz1zwbq1LfVbaO+7XcZ9R8DOOo/ElFHnVBHr6EeWKIePBHjtTHITzPkJ4uz UMRZO/zF/HfGevdOmwUJ/GmM5zH+wfwfrD+A/Y8gj/EB08f0FwKPhVj9cgf+ UNhTgf6qrZzsnYE+NlyN/PEO946bw0XvHWyM8yD/GvSndaMQj7u3kxxNjs7n N/Scw/m5AAc7X2vgZPViHexg8TgTdrL4YX5k8cX81I7xAvz3F99sZPHL8p3F N/PjW+hjfmR4LMTqPuuvXGBPCezTQzwqwI89EI/u0uSfA/ai9zQWl6HnKN89 dChuJ6gTP776RHF9D/wYgbiXBz/GIC+egm/WIm9YHd2KvGJ89QV5twN89hR5 yfJ7GPzD/NuKuGP+GimWz88wMp6tF6s/jFcWAc8q4GP8yPrQUvDjONi3FPw4 F3kt9Zv4MQT3WpvLovdaxpMmeVR/Cr8Qj57sR/UpDHWmFPU6FXWmVwTVN3vw 9APUv13gcUfUx5HgeTfUz0zUgXSMQbCf8aY34orV5zzkK+ODtZj/KnYerH6x PmAl9LH+ainw7AC+fOBdBvxTUK/7w770arL3DOpMmzT5Ixl15rrYOwCr2z+i qB8qXUJ1/VMH9Y+P0PdkaFA/ZYe+YCv6x7PoGyzQj81EX+GHfk0VfccYjCvE 7OstFjcs/73FeNVHjB/YeknsZ30B66tYv8XGLcBjAXxjgdcB+NVgzxbY93Mc 2VsI+7X+kT9moy90vCj6bsL6yHj05xXoMxPRv8eiD32G/j4SferTfdT/30If 64D7wWT0ueoYWf87HfiXIC5Yf8T68BXIt2jw2HzwWIFYfRCvu6yf2Qx5TpBv Cn3rod8QeKZh7Hqb8KqdJPzbcZ9pg30jcX+TxHtLPfyhhvezT2LvTOxeU7GM 7ovb19K9R72K7pPau+hetKGF7puXcG+qwn1UayDdq9wxvoQ/q4FvLc49C+de gHxaiHx6KcZTC8D/S8H/l1FXnfHN+iu2vhD72X39EeQzfYugfzTwFALfSdwH 2bvAAdhzltmH+3Up7oU5eG9wg39Ge4i+y7F7No/3CzXcw4PxvpEtS/f08c30 /mGNd571GF9Dfy70O+NcP+FcF+Gd4jXeXxrwThGPfvcO+P1nCPG7A+rmRfbe g37kHr7ZO8V41INn2F8FeePAcyegbzD0JwOPNPDZAe864K/D+4QB7PrWRvZq 431wKfzRHED+6Sf2jsnefebgPe0B3s0O4r1tGN6NVDF64P3sOvy7DXG6FXHb D/mgg3zYj3uqN94D43Df8owl/p6Ad7MhX6kudqDf8Md7YynezWbj+xbm76GO xqCuHkM9UID8DOhTGUH669g7Afgph8UZ4u4u3rW8f5N9XWGvDEZ3+OMC/NND 7N2XvUMq4523Au+4rzHuxv5s7N+Bc2nBueiz/PeieP8AHpkGHmnF/f4D7qUt eMdVxLv71ArqJ0ZpUD9Ra0d92vM+1Ke9U6H+VwHv6/H2NK+D9/kX32h/Lupo E+7Bg11I378+pL8L8BQBXwfetY4hX/siDx1hXyLs9Yb91+CPBIzJsqLv5P/X +7jYO7qFmN/NxeK5t5soTzwS49/Dl0TrWudD0X4h6rpoH3Zutmh/6z9I9N4Q Olf0PrY3UfSeu0/s/WBfnOi7TKHYe5fzCtF3xIFi77O9xN69xf8XYiP+R0rD /0o38D/TTfzvlIH/oTLxv1Qm/qe6hf+tbuF/rCz8r5WF/7n++83m2Xq2n8lj 8pk+pp/hEce36V5E4a6ZHXfUXkncuPBOXZisfvTGoTU23L7gjmF/nvgLvzu6 zHn7/SCnHxe/M+36ZU7e1TY37NJhQYpbuchAOVGIiStdl/Y7mcvurrLevfMe N/o8fX9cQPPZvrTeJ5b2H2gjeck7SH7KONI36gXpH/eE8Ij7LxP4+DLVTftC 7blHagpF6WM3Cg8megxbtfg4lzR6YPu/eVFCXJdSuV6rcoWlj98t8l+Qy9X1 fhLqt7yGu6wquWFhbgM35c3kFfc//+TGj6Pv59I07/SC1o+RoP0nlEhe0wSS Pwj6ppWS/qXPCY/4+YbAnnJVWt94feyu03ZHuQ3JA7+56icL5S6zhta1pHJr H3VTjPf5wc1ef2a9dUoX3ojfJvgmjOafNpxO6a5vwEvvSf/Xs8CE98d3GUfz D3xovdQD2r9gCcnreZ3k904lfV+hPw94xONPfyf8r0n2eaTQ/qm9s4+3rn7A jRpVPPlXYzqX4Zz+8unfLrzz4a/TVGQseIP3CSOXRazlrV9JPln8OJAPb4y7 PvXYDv4Qvssxv/oIrQ91of2zppK8M5CfAH1uOD9TxJt4fpT9pniZNoLO46ED 2avsTvKuzD5q3m++LB8j5W28ceUKPtxxwib3ZQf54uLvBhqvIvnW53MUrbrG 8yfu110cYniZ7/6Cvksw74b1R7F/BOTZmZP8hTivAYqkP6uV8Ijnrw3iewfi 58l9Op+d8J8X5PfUWe9vnXScH7A9vmah+WV+vPW8uLXdEvjYyulLi2P38QU7 Bhw47RiYPfgtfbtg3h7rx2H/W8grgfyd0KeI+P93kfCI84uiF+VjazHF+5B1 FE+HcV6B8Icx9A13HvBt5/6zvLlxqbG/ZHq2TP2sWf1v3Mt2uTEqO9kkN3sY vgXM78d6VezfA3mKkN8F8e5WQPqXgU/E+W+SJfHHGOTnasR/HOIrF+fnC//k Qf++TFsH/7a72XL3HSXNvpzOvuw1zvBq8//gz6VvO8xbYL079r+EvALIXwd9 4f1Iv7YN4RHn5+LDxHe14JMvPyhfI5APLN5m4jyrv5O/xgPPkaetKrMv3OYV AsK++ppn8UH43nWP5iXg39bXtP8H4nk75L+Avk0apN/lBOERrx/3/439Dz+v qib+e7Sb+CUL+bsL+ZESTPG3Ced7di35bxDwZY8uKSqck8Qr4XsF5mdg/afd tP8I5F2G/BHgs8XvSL816oV4fZt/ivDvVyd7VoL/zsJeWfhz/xvyRz38KQ1/ Tob/ZIBvHb6Hwp9vsN4Y/pSCPG3Id2skfX/Hkn75JFF/svP/MpviYUkfig8O 8bIf8fMK8XQK8RWOeFuL+NPNIzwta8h/Ix/Qtxfmf2L9VOyvgbzNkF+IetEo Sfr1eNH4ZPmkuZbya1YJ5VtP5J8x8jEE+dm+jfI1A/n7EvrVEH/7cL7t8B/D p4T1E5HvppDnBflPvUmfwivSXx0omu+Mnx6DP4vAX4Gob5FOxG8R4LsabeK/ 4dC3EP5xBn/uD6X488P5WmBeGevbsH8/5CmDP+dBnz70Z8eK8ifj+5ntxP8K ylQPUpdSffg8h+pFyRyqHwWQHwZ/lOP8WpC/gciPAYi/55j3w/oo7D+FerRY l+Tvgr4y6B/ZIVqPWP3cgvpeivp+D/VWDfW3Wo7kmS0m+wXU91DEF498OIr8 dcS3N+ZNcb6KjrRfez7Jq5Ik+TLoR6aivieI1XfWj3hpUH+SM476Fbk06l82 Yf9oT7J3ZT6dzx3EbzLi3wP8oA5+OY/vfpiXRH3Tfkz7bzuRvPmQb5hC+o6i X5JRF+2XWH8XV0793opy6v8c1Gn9BPi3hyqdx/luFD/T0X+OBD8YoP+c8Jb4 L1qFvkvQnxYX0frnXWn/JJxvB/x3D/2n1SvS379MtP9k/fLnW9Q/f66g+fnj yZ42+D/9H8VLZQLFdw/U3zkziT9mXCC+M+lB/Hwigr4fz6J5VfQPDbgP+KKf 14d8Ffjv4EvSvyZHtJ//33I/wn3uhssT3XC3+JHCEYzsd9tF3rODKpqntg5o Txjl0Ivdk9NfaIXbbfQ05yp/qJVuvGHB7o83PRacm2XY3VcwOdlUd3iLH7tn ZjxWzD+mlxjGXXnkuvK6XQiH+2imznD3rkOkQoVbEf0VVarC2b31ls2bjSF/ j5wUXBz7nY5afl7A/fbW6R5uO1c5pXJ3/g0x3l0YIeAenHW1fkl9nE8c96LT JOnOk2Psfp21RkpOaDOP4m68CNQPd7jI4V6dZShDv1f+oPXs9+ZGkuPdb+h/ 5DM5J3uT3n7LCQ/Tu6iScMqeJ/wMp5QC2eX/kOxldoXDD+UnyD/MD7vhty3w J/PbXvi5QZ78z/zs5Ezncimfzoudy5580fNjI5v3liE5v3Gu/dwH61huM+de u9GoZnKi1vHWOmH5tf4zE176CgNbJf8evxnOnSjct+vx0MOcj7Txfd/GBKHH gLDL4SWnhW5hn/3fWCVzIa4NmnvvZAhVAyWlnlgUc833/b7cqEvlWota8xwH XRc8XufOVx9QyMkOmx38QfMDl/r84h/l4bmci2/E7x2DWrlWnU6Ja71vcfo+ 9F1dQfNKQ2n94Wrav7ya5Hk+Jfnh0PdzKel/dJDw2PQnfPbAGwb8M5k9sO8H T/Y6wf45GHctJf/MHCIa98z/w3BOF3A+vSBvMPy3wLvRdeKWcO4qxr7f/p06 +eGasF3Zq6PI+IoQ/W784uP9c7mkn9syyu9c4pKHKH2090vjji9q2V55sIKb bOnprXErQXgjeWFYz9QXXIH9yrZntiP478qaboVKLdzrrPGnP0vp8I6PzxfZ Dx7IH4uu0FQ9bMwfCXw7cmfREP4xvl88ovn5t2n9rJG0X9aR5Ln/i/iPfC09 0mfkQPqrFQjPgx+Ez6mK8MYBv953sqcW9iVgfAl/BsAfS+Gf02I8weJ7C3hC CfH/Guf0qoXOSXUU6ZsH/52Z6HUosyOX851A49D+z69kKBcLrpIpwyKVgrkP mo0bTl3/zrUe04+1a3gnDNBfOCOj3YT/496NKwpV56euqnLt1sWV9+uppXdQ ay7/vfniq5cGG/jdX00zvkxYzK93Tf7YcjKI7/kl6Ha/Zhc+AN8JmO/aQutj sZ+DPKMVJF8G+hIPkv7ciYTHXIfw/QLexbBjuSaNkfCnHuyVQ5wWwx+n4J/e YrzK+OPEfeKZBPBL374U/5sQ/4Ff6Bxv4hxX+xCewdKEJ8jW5JuJ3lfuvDON ydWqxnYqVvwN+eKwHpPn8cO/Rbt5jgzkk87P9JV9v44PKSqolex9kjdeoNX0 fUko76+w/GO1UiwveA9a4Pv6BB/YPv7ddtnL/FnVi7sWDTzLB+M7C/N7sX4I 9l+FvIOQPwn6TkN/IfD0WEz4emGMgz9Le5M9R96TfR31ZO8+2H9VmvwhpUT+ yXsgWocYP/8+RzzuL0f8re1CvJK7n3jlNPIjSJHy4zPO+YA6nfMV4L0DvOaP aiIlP+/gZ2K8PkplltLsaD7vm0/Wq+UX+N//hzo/D6v5+97H8cgQMiVJkQwl GZtHj52ZTEmUuTKUFAllSBIlCUVShKQoYyXNzokQoUGJQoUMKUNEkfi+Luve z+s653r/rt/fn7/29Th777XutfZa91p7H8uTnlUnLrHrwUNz1awusO4FLK7i TTQ72D1tbEvLRbbpyPY5Pcc5iV9Wmv0c0vMCGxZG32GY//2Q1ldg/w3Ia4L8 89C3DPotMdYAXxHwZiNvzh8kexz7kH1bwEf7g8n+EvCsAurbgyjJus3rn789 1ckplVQflz0gvq4EX09sS7x2xph4p3AV5c845M8OxIEG4qAK9lyEPYN/LFk5 6NFFNgyjnl2F64yISHHqT0srK2Uz8Xpvt9UHDuSIE9609D+lmSLe5Kxz/++S XHHHMgNFNdMs8TJ8V2F+EdbXvaf95pBnCflGGFOhn+Ph+C4CrwD8frDn1ySy b1AHstcH9u/OI39UPSP/mC+W7HN4f/G2G/Uh++Wo/9iNOhhZTXXwBPjcbQHx eSl4yQy81AX5FYv84nFyB3Ey6S3ZawF7myY8uVLz+qb4K8bZXQbb3EtKFecO q1C+r5oj7pdnM2PmglAWm9kz7lxkqjgA328xr4z1Ddj/FuNTW5I/tZH01UN/ PvCcAr7ewOsE/PdgzwU7su8t7H1VRvYnviZ/qKMvzIO//vMf+jent9Tnrf9M /Z3zK+ovBvah/mIe6qQ+6uQT8H0d6kMSeGsfeMsV+aeKfH2LOLJDHP2EP8o7 kz8SwrWbfoUms3SM76LN1CfFZDP/PnfsL+7IYq/wnY35pxhN4c9MyONxmg59 Tcj/HcCzR4qHXwN/AexZB/s6wF6mRPYPqyZ/bGwh/3hUSfbRvD9elkt99IJ+ 1D+vmEh925e11Lf93Er9x8Qz1H8ooY56oo4eQz0IRD2oBK/FHSZeG4D8XI38 3IM4S0CcbYO/PsJfPeX7qi/zSWYqGJUxfsO8C9Yvwf4IyNsH+cWPSZ9qOOnP Ap5NwHcEeLcBf2Mt2aMJ+0q3kb2D0bf2NCZ/uKuQf9YVSd47+HjmA/l3pxqt y3xB/teBnPE4n7HQcxHntws4MnC+vK4G4fyt4cd3iA832FmD+DHh+Yv4egs/ fcDYBf57gm/Z0zSexfqX2F8Meesh/z30paI+rQQeV+DLB949wM94fqFPfYc+ tgT3gWEF5I/fXck/pt3GSdzTeFx+7kT5Xoq8NqsmPrigTHG9Up34gud1Bfjk O/JiBPjmEPKmBHzUFnnd8Iv4ygp5JzuR+KwZeb0A+RkP/8yGf2wRd474TsR8 P6wfIsWTvF7taiZ9AvSnAI8r8I0CXm30oXqwxw/3gZRBZO/6AWS/Pu5d456T f27/Vpa413KeNHGg+iOgzsTlU31SrSSeXSRL9SsIPGyD+jYZPB2P+hcJHi+T 6m+WoX4uR515jXrwDfYvh/2liKtAxNUT5OtWfFdi3gXrW7n/INcB4wDoK4T+ euA5B3wHgNcc+Gegf/+DOrrtD92Len0m+5cXkz+yu5B/ip0k3wF43f6Cd4D+ eBeIQ//4F3XfB/2U9kjqC1aGUr9lhr7hOfoxWfQVeujXeN9zDmNX2PcA9i1R mP4vbuQRNy+Rj4ZHKR+VwKuZ+G7GfG+sL5ah/VcgzxzyL0AfH3k/Kwd82cDb Gfj3oX9cPJ3sGwJ7XWF/OPzRB33hN6l3E95H7sS7SYIq9ZkM9/mTuN+X4F6q rkR96mgt6v8XjqA+dvYCuh9ko89NwMj737bA/wZxcQRx8Rj5tgX5thk85gYe S0Z92IDv9bxPx/pc7I+DvB+Q31RH+iz4eQJPMu/DcZ+pH074U7TJnnfoww9+ IXtDYX8N/FGFPjxf6p2J32uicF90w72nBffJ37gXrcR9czDuTe9wL22De9Va jEr2hM9cl/B9w7k74NwvIJ/skU+a4KkG8Oxt8D+/X+9HXd2Cbz4vD15Tx35d yAuF/KXQ10WZ9O8fRnh07AifBu6ztzBewztBJt5btPF+8bcr2R8Af/jh3ix3 VPJdjt+zWQO9X7zEPfwj3jf24J7e353eP6Jwj3fDOBD+dMO92ysv6d+5airS ufqcpHxJcaB8acQ7RSV4dgr4vQH87o+6GYq62YR+JAPfazF/Cus9sX8yeC0J vO2zifTdiCT9av0Iz/7JFHf9gXcU8Gvg/WUIxrl47xHhnUYX/pjO33+l3jH5 u8+uLvSe1lOX3oWcV9F7Wzbeze5htIM/M+DfOpzbV8RtahPlw8xQyge3RcQz 8orEMx06Ub3KKCH+no13MwHviSvRb9xHv7UK72Z6+E7DfA8VWl+G/aL3JG8L 6qER9LWH/nbIz3Hgp/nAe5/HHfx1EP77hveyFxjl8B77EO9mIxUk3335O+SC e/TOu82S3ilXYzwDf66Ef6cm0rkMsqJzeYR4Xwg+ONCLeKRZjXgkYznx89lq 4mfNO3jHxf3q4AvqJ67WUz9R8YT6tEvy1KcNxzvuy+707YD5K69pvU4l7U9C n+F/n+RHvCJ9iY6kv4sy4dmNd5sJyM8g4GeIsxmIO0v4azXeb9/Ykj/mz6PR OV/ynVz6fXznPcl5906Sfp/+VTKed0rxxI58Sf6tjZasaz0XSvYLt2Ul/18I /in5P4R3seS9IaJF8j5mLCt5zz21TPL9YP4pyXcZxzzJ966eUu+I3b5Ivs/q 9ZJ8926X/3//r9D33o0ShcBo/cGzz5oEHPthkGW4/W4PFw2jpdMetNs9dqSx 36TkM5YK3Uw+DR6s8nH9XZNi7WnFWwPsTa+tr7Het6/EtPWs+4Ly0RpmfdvO NX/2Yp5ZleqE4wfkVv33zef5er6fy+PyuT6un+ORxjecpW1KtFQQbl3t3KTy QUd0S3HTE/2scULEUlW5fI0OgkqJU6/jIheRdtE5x5FZXoK114HhS6JChG3r WuYkl+8XThc+c9GbcEiodMhv6zfoqBD/kL7XudB8+SZa/w37NSFPzobkn4W+ 59BvBjzS/ivA/PsxmhUfv1oKCz7sCd/oOkMUv21S2VBVJ5Fmdbr8fNv9wuy+ 29Nj/ENFY1RUnRXqTojOuiscGrynSLj6smrl0jm1wtwB7tH+QxuEOnxvW0/z zr1o/T4V2t8P8iZsJfkroU9Gh/Q/Bh7p890Be8Jraf3FmpfNX8XOoofrNnfZ MClUOPPFovRHTbzoxyXb0N4j0oWExbuHTHndIvSJebpoxLd+LE42PyZ+zxhW ts9n1lqxATuL78bTNL8D6z9cof0TIa95LclfCH050H8UeKTjz3kN+b8A/jsE fJsvn/qZLh8juqec6lrwI1Gw8BJdHPK2A3tcXhtv12Mc2zqp14/PZcvZzqGN Vm0eeTK5n64TXdO3syB878F8HdYL2D+2D8nbdYHknwPeAPg3ZB7hkc4PX8SL Jc5DB/YeB75XBb0mxjl1YIMVPrpu3zufde58Oj1ZO4Adiev+KrQphlW9euM/ XEhm42t1lgvLUlklvo9iXgHrZ2K/bCHJm6BI8iM+kb6WStJv8YjwSOfvHsS3 KuInGuczDfZPgHzhaI9CFb1DzK1o6xLT06nMUmafWnL4A1Z/YqzMx71l7JrK mnl90svZJ3xPx/w6rLfA/sWQV+9J8uWSSV9WP9L/8xHhkeaX5x6UjzkdKN5j F1E8daqg8+L+c4K+5Cl6d9adLWEv1PSej2h6ycqmW79eUvSGdQmrinRa+ZaV 4vs55tOw3gP7lSCvBfFwBvHr3If0+3gSHmn+s5pH/GG3kfJTFfEfg/gKxflN g3+eQb+Qu3m5rPdbtsxk/H31da/Y/cBn2fozqthyfDPMV2L9FOwPgzx/yH8G fZHghxInwiPNz9OvE9851xCfTEe+nkI+VCDePuA8S+AvB+BJyStVar1SxELS 6j4Gz7nJUvHtiPnHWP8R+59D3h7I3w19N16RfsO7hEe6fhhZEz97qRP/+YBf NJG/k5AfSYi/zjjffPiP49v+7sFw49JYdgTfDzDfFetTsN8C8rpCfiz0tYX+ 83aER7q+Lckl/Ltekz0OsO8Y7OX5XAd/FP3/8Wc6vvn8E6zn58HPZwfnL+jb D39W35P0Jz//14spHow3UHy4I16iET+RiKcZiC+eHyZS8XkH/uP4ePzyfJsh FZ+cX6ugLwHxmSIVnzyf1m6g/PqFfE9Evg9CvndDfroiX68gf3k+8Xjl8VAs le8pWO+O/XKQ9xv5/pLr60r612yUzHfOT30fEl8xJeKvxReJzwLAn+PBd8bg vzXQNxX+eY/zTET88fjg89y+sdhvDHmGkK+MevyuD+kXF0jyJ+d7c9Sjk1VU D2I+U31QUqJ6sRf1wxzy5eGPcJzfM8SbgPzg3wcxz89jHPZ/QX3r0pfkn0f9 W4p6WFEiWY94/azeQPV0ljfV17eo7xtQ34uB9xfqx1ec1zrE12bkQxvkry++ vTH/F+sPYL8x6vEtyK/g/QT0J26UrO+8H8lBf1KI/soc/cs57O8A/y5EPX2F +mEn1S/VgF+S8C2H+VCsl0+i/eWo59sgfxL0TUa/ZC/VL/H+rhr9njn6vyvA y/unLoiHPqj/vqoU7/roPxej3zRE/7kM37cxP6o3rfdA/d4EeU7w30HgC0f/ myjVf/J+eSH653YpNF8Ie6rR7+1D//IX/UoU+vkED+KP6iLiu3nLiZ9P4FvJ jeZXoV4no7+4DnnuHiR/J78/AF9HqX7+/5X70e9nw9+5dptjYO249XDD6D9j Z2Lkv2/T8Thy10xD1Gx79LnmIG3RkooxbYqtDxvO19aR1YiZKPj2/bbEZsNk YeCr0kVudZeNtifLljyRXSjSGLZW9XrcbNHz0TrqJYYxxgZRb8V5YluhXrXx lK2jo6jLhQcqT4PdTe6qO+zuUuIttPvdrVtawWbBZYTtrnUOyqY9ai/4hb4M EV08paTQ/rGvkKtpp9c99qRp8taELQ/NPEQvejwWW+bOEU4pjtVrtGhjpjmx Pqd61wlBtNTeaMF3R5Hs6UhT+ZHjzSyufR871y5eODTrZOLjIy6i9iYPw+/6 OJqtw++bltN6/vtlyJn1t/SffC4n24P0Np0gPFyvL3BuBH6OMw12lcNebtcF +GEK/MP9cB5+i4Y/ud/84ecFduR/7udcnIvxcjovfi5jlkueHx/5/Cecowv2 Tx763OTnzMnCdIzb/lcQ1MvsRS9Pf18wsGiR6GhpT4dJF9cJ8ocntWywthJe sB7+nxbYCOeveX7Qb/AXdj+bfrzkeJzI+th2Zp4VItqWefXPyb2pwp1y+eDG zRGiaSH3ez45+1AY4v+76xzfeOF20LUbhukvhH4/Ow71+nFD2CQzdNqUm7WC t65rwd2QPGEDvh0x74f18/fQ/uUHSV5pGcnvkUX6qqF/LfCEAl/sWMJ7DPg7 PiZ71GPIvjOwNwD278J4A/6ZYycZ99z/k3FOFjifk/DXdshLTHTSD8hyFTom 0fjoatmpd/Pni7YXjD/v6LFWmHKq7+qDC2NE64bXXD23P0HUMsvNODjqvtBz t03dhI+Jgkaxr6X9xgrB0EWr6uKXcmHIhynXtHTlmezs0Psdzn4VVCrH/Poy VOt/9WlW799f27Ht3sJhHabP9tlpdTpd14X54rsO84ZYf34W7d8BeVGrSb4c 9H2A/m/AYwZ8BScJ74mHhL86leyxgX2dMJ6A/eXwhy/8EyDFEzy+22tRHoxH /F8LpXPagbizLiJ9U6+RvsEbeukFjjgjeuNBo5zVxVUN4XnCzPIt9wov3hUq x5iO/33gtiAjk5Ncn1Up2K5d/7l95BhW2Sm61ClMmbVpaC43y7Vl5VfEYgVr xkbMTv8VNMWd7Zw36dkoV+v/3ZPsVU3ObGU5ynurew+0+9+9lL59MT8a659j fwfI69yZ5LtA35C/4n/6Y/UIjwrwzZxNeH2A3xmjKI3s84F/H8P+hkPkjyj4 57OWJK9y/hjZj3gm6DjxyznE/5RxFP/GOEcNxF3DU8JTDDzB5zqojRwbL6gf p/G+5rvCj+rj2LFS0e/S8UYs925x3oLfG9nAsxMGFvR3ZrI6d7M7BoQz9Q7N 4vBmf1ba7+2NvMQLzFZrbZ9lu8OZzpYI9VsDrjGnnVl7ZRdG/fc9H/NPsH4I 9neCPB3Ivw99d6G/CnjuAGdkIo0zgN8O9sQhTtO0yd7RyH8L+GMv+DdKqg5x fr7YQjz+Ffw9FLziBl7RQ35UIz9UEGda+nTOF4C3Enj98810bZ5vZYcwxpcH Pjiz8yxz6VW0cbtGDDP8sr7ybtdcFjZ63eATCplsqM3MDUb5j9gSu7SWNy/u MPldcUuXtylnZ3p1PLxV5/5/34sxz9cfwX4uzxXyz0Mf138EYwXwFQKvngHh 9/lDcXsA9kX4k70jYX/gcfLHevjHtVWybvP6V3WM6uR81EerYuLrR6gP2s7E OwbgHQ/kjxvyRw1xkIM4WAV7uP80S+P/+pfeYVoY3zcuebNkynOWdNBWvdvr p6zhl78492ANezAigJ3a/5LNCW+Qr134lrl6dfK7Nuz1f9/5mP+K9Vexvxby tKX0XIF+N+C5B3xGwBsI/N1gz9Misu8XeFYb9Ur5KfnjIfxTeFKyz+H9RdB5 6kOGrKb+oziE6mDpfqqDS2YSn9eAz00SiZd+fCFeUkJ+tUd+HUScGCFOuL/e wt7wH55hO1Pf/DcOfKc0YMKfGtbX4YzpOo23bP2nzVbpC6vZ3tYluWbfatgG fPfDPF9/BPuPYvwA+Vegzxj6Q4GnDfBxPlAEr1aAZx1gXxjqlx/6gKBA8oeu J/nH53upRF/I+7e2sdTnBc2g/k61lfqLmYHUX+Q+pTq5g9dJ8P0g8P0c8NZ/ PIf800L+3UMcfUEc9Yc/1OGPwY/XFibJVLABGL3Csksiy26zP0qaO5bveMS2 4HsI5jUwcn+qQZ50XPP8XwQ8xcBnA7xjgN8f9pjCviPoC3qiv0r6Rf4YM5n8 E7tVso/m/XHMPuqj+2ZS/1xrQH1bv7+a//q2DbbUfySh/3iHOmqBOsrrwWjU g2jwWlfwmgvycxbyMwhxxuOO+8sT/tp+06bNqjOJzBujD0bu3zZ9aD2P02DI 4/nvBn3doP808IwEvhXAOxP4b8KeCNjXCHsLYL+fPvkjMY38c9xD8t7Bx84h 5F+XdFr3ooX8fxxyVHE+kdBzGuc3DTh4nR0DnPz8uR08HmfCzv5S+TsI8cX9 KO1P7r+tGPl67kcuzxry70Mfr08cz0ipum8p1U+FwT4ej6WwfyXiMRN+VPCU vKfxuIzOp3xXsKS4LdpPfPAJef0Y/OiIuNdIlOz7eP/C+xFeh4chrxLBV5+Q d4fBZwN4XmLkee0B/7QiTvn3QKl85iPnR+n6w3mF4ykCvkHAK92HjoB9h8CP m5DXe8CPn3GvLfsuea/lPLnvONWf0rXEo66PqD5tPUA8OxP1uhw8HIT61h48 PRT1j/dxvL8xA88PlarTNRi5PzlvqiKueP4HIl9n41sF83w9r1PvIE+6bvM6 txZ4OgKfJvD+hx/2nIF9MqjXVbD/eCn54647+acsSvIdgNft3z+pH5r4nup6 egT1S+8zqO6n+FE/Nf8R9QWD2lD/uAF9w0X0Y7fRVwShX7uIvuMsRt6P6MM+ HqdDpepRFyle7SrFD3w9r8vcX1x+AvTx8TDwcHwxwGsP/IvRD19CX7dqF9lr hL4vKpL88RL+Gd0i+W7C+8jJuM+I0GfGo38fjz60E+4zZ9Gn3kT/3wN9+Kkk uh88QZ9bgpH3v7yv5H0y7494vhUg3ziPjZCqVyOleLcQ63k/0xbyuPxcqfN8 DDzPMK6KIbzeOoRfA/fFJti3D/Zehv0N8IfLQPLPoX6S70z8XlM5lO6Le3Ev HIn79VTcCxWL6b45A/dCP9yvq3GvGoL7tdxFwuerS/gycO4bce7ayCd+v+Y8 NQw8ZQ3+nwj+t0ddnYxv3l9xXlbFfi5vMOR7Q9816H8Pf6ngXqgFvMMwzoI9 O2CfIez1HU/2j4c/lOGfN0Ml3+X4PTsM7xc+uIc34H0jAff0vnj/aMY7jzPG PtDP7913EKepOFdvvBMsRb58wjvFNPDQNfB7V/D7NtTNTaib2ehH+PvPDsyr YX0h9q+DvL7guQrcSypx3wsDHn/ga8A9uiPwe+L9ZSHseoj3LSfYfwb+mAz/ zJF6x+TvPhPwnrYR70Jb8N7G341iMXaDP49D/s9COrf+iNt2yIflyIfDuJen g2d88G7mh/fHgXg3G7CP6mLHCuo3DuG98TjezeLw3Rvzmaijz1BXrXHvuIn6 MB73OSPckx2B5wneHyKBdxPesebBnkj4bznsXYVRF/4wgn/qbCXfffk7pCXe eZPwTpmJcTf2+2F/K86Fx20HvCddRbxvBo88As9W4r1jNu6l9hVU95S8qe7V 76J+YuF46ieuNVOf9iuF+jQ5vOO64luM+fdYPyiA9t/dSPLkcA9Ohj4XvC+8 Bp6VwMeAdy3ylcdZHOybAHuNYf8m+MMLo5Wj5Du59Pt4o9T8Eqn39jipeA7X kuQJsdQ7f5DU/wG9oiX7ha7qjyX6MH07yf5WmCJ5bxg3X/I+9qeL5P8fJ6Xe D3Sl3mUqpN67Xg+VfEe0l3qf/ST1f0+I4//9vwL+R0rB/0rX8D9TGv53Ssf/ UBn4XyoD/1Nl4n+rTPyPlYX/tbLwP9d/33yer+f7uTwun+vj+jkeaXxRm4oX m3tpiPoW/35zzklPmJj72kqvbqAw96PN8NIRbqIDF27qpg8JFrJl7cZ5ZYYL 75+0L+qq7SfKscg7vC93q2CbOOFY/6p0wflgN8N+23KFrpfpO3EpzTuLaP0s 7A88R/I21ZF8qwuk70AJ6Tf2IjzS/ntfRPMd7I9NrG8eKrJ/ZH6394oVIu2E TuEOE0OEt0/kFo5efVb0+05t79/3E0QKlyMPNAaXCIbZL7q/tK4XRO8VVd78 bhY0fio6Rfb6KxzFt1oGzctcoPUxt2l/bgnJGxdP8t88IH3nPUi/cinhkT7f xFtkj2IJrV8erLU+OCxIUHG/oLW//rzo1IdhYpdLN4V0/dbcj2s/CbMKdi8u je7ODCpWG24+NZq1qt19f/HcOHaiS9eakvTJ7B2+bTAfW0jrf2P/5jckz3Qt yT+/h/R9LCD9KVcIj3T8tcD/ObDPHPttUkq2DrW8I7Qt3/JntLtIuHgg6aaT giabdqp7u6vXbVl7qw83Do/awGSUY17v3LCTNZkfyf/auJt1wXdPzJtjveZB 2m/ZSPI8Id/YlfTtOUf6Re8Jj3R+TEb81eB8i9+TvUOqSJ7Ojj579izSYxu3 y19/0bSO7R0UHhEzLYStUWlz8snTaLar1+snb2PPsrVz1rJepvEsFN/rMH8c 649gf7gPyVOqJ/nt3pK+glLS3y+e8Ejnr7Yc4ruI4meEMZ2PGfx3EPIHjDEs OvQmnEV1X/ZpjVo88yvQSD0+IZbF5i43Pu64iY2fkxZy83mg+Ngd+k7BvBfW G2F/JuSdhPwAA9I3/x7p92hHeKT5ZcxdysceiPdYxN9AnNdF+CMY+nbLio39 2h9m4Sap7JtRiti8ZlDGqB054q+XTm7v8jVH/Pk1fTPML8D69dh/EvIMIN8b 8asG/fY3CI80//l+u/OPP35dp/wUyin+DRBfDji/S/DPUejXL9jSNLlFLP58 v+Bp+JCT4qDCpJ8je4Syqnz6PoD5/Vivhf1cXsNskl8AfZ3BDz3mEZ9J87N/ LPHd4g/EJ3uQryrIh2WIt0V5dJ7d4b/zwKP2W62uyiSD/awZaKE/P5PNw7f8 Q5ovhH9rEA+BkNcD8qugzxj6x14gPNL1o3Ef8fOaFuK/eeAX+bGUvyuQH6K5 FH/NON9DBeS/X8C379lDty3pSazdG/o+VETz97BedTbt3w55nSF/IvTNgf5H QYRHur6ZA78t+Pkh7JOFvR6wv+4G+eMP/NOK854J/7UBvlH4jsd8P/j/Bvy5 AvL4eWVAX5860h8dK+lPfv7V/hQPhpkUH5yf/yJ+NiGe9BBf+oi3pYi/ZuDp DP9pPqDvHpgfiPWpUvHZC/FviPjsgPyofndHIj55Pt2tovxyRj1chnzfi3w8 jfzchnzt2Zbydz7018K/33G+n/BthfkRyHd/7A+HPA/IV4I++Uuk/32hZL5z fkr+a/uPr+yzib/C9IjPmlA/gsF3M8B/O6BvG/wThPN8aEXxV4TvZ5gPx/rZ 2M/ldYb8L9CXmkP6zdtI8ifn+xD0L/aoB9NqqD5srqF6MQL1Ywfk74M/1uP8 7BBvO5Afrvheifkovh77PSFv6XeSb4V69Av9STepesTrZ99PVE8Xn6f6+mQd 1duITKq/8R9JXscQsn8pzovX747Ih97I33b47oj5NVi/BP778J7kFfD+Af2O gP7s1kfJ+s77kZos6k9S0c9ZBFH/MnwD7e8EezV16Xy+PqR4qkH8JyBffcEv KfhOwXwa4q8dzjftHcmLQ79zaR/pu1RM+jfflOyXeH8Xg/7YfDH1f1pYb3GB 7EtGPGSmUfwEI96Vsyg/V4GfBfDftFr6tsZ8/UVaX5RB+/PLSN4r9GeH4Z8U 9L+viiT7T94vd/Wk/vkL5sPg331fyP+DEC89WinflMspH8cMIj47fI74ziKY +Pl3PH2H6NG8TAmtT8T+E+fRz9eTfEX4rzv85bpJsp//f+V+hPvctZ+7c6b0 NhklGuJPI//9uuKtObmTzATTxn2K3TuME3AvTM1ID5xVE2khKv87v1Ajz4Df l9PaGjaNVX4yTxQrX3dt0GEnfs9MVwtODsyt3iP4Pe4ce+boHgH30YyNR93H VcUfFVnoLjzk+d2D31szs0e21buYtls4eGnlVPHtYyLcbzN7NLot9F6eIoSN Gu0apLFXhHtwVuXH/uMdna8IF3WLauNuRfL7dZbnUHPndrcThfUeHZ60Wx4r 4F6dlTiMfg8bTev5717vSU56f5LP5UR/Ib31ZwkP1+s+jHDeHU34Oc62R8iu /BKyl9slv4/8IAP/cD9E6ZLf3Nvb/vMn91tyJvm5Bv7nfu6jROdiEEDnxc9F PUDy/PjI52Ug5wHOddauGXve/Zwg8sJoM6QpVnaIpehO4JzOO6bPE/1Z/kvL JChAiP2y8Y3x1L3Cg4aUFy5KCaIneyz7qjrHiJTVIld6K1wXZEwc5qmtiBXV ewg/FwXeFjLyH2RlH80S4p+wmJ5LbwsJGTuDdobnC96NZfcTFL8K+nrq8ibT CoX6W3v2apTIsJsFC7cc9CwWnPBtakDzRlj/PY32335K8jbfIflWG0mftTHp 36pKeMYGEL7mL4RXBfjDHcmeot1kX2x/sneVP9kfgXE8/PtBKu65/3f+obiv QR7M30vyKgeTvG1urbm/+wQIahhTTI7FrI4/L1LJOd71vs15kftzdq3Hgjzh W5Oy15QV14UizbEDDrheEHXJ7HFOw6RE2Clf7Dxp6E9BddyLngX9XwrW/ec1 y3lrsg2eS9vrZnRkIVFxD1/MMGVrHkzYlP+2H7vRcUrZgpIJbEHZ1cpRlwex x/h2wfxyrJ/qRfsVIa/tBJL/pAvpK88g/fHdCM/FRsLn84zwpooJv7cx2RO3 huzr5kpjDfwp8id/1CB+y2VtJXiCx/dw5EG9AcW/Is7JaAWdUyL07Yf/lCeu 6xxzK0+4hTFl5pDRi8Y9FTn10HU5qpAvsvaTfWCp3pupD1nTdKj8lzBv2Saz 4cOmsZGhVpuWFBuyfgvbFfRtWcV+BJ7YNmDZXOY+ss2iYze2Mq1b5crxQY7s g9XDLbd/72L7dr43cq5exd7j2xDz/lj/CfsNIG8A5AdC3+/BpF8JePp0Inw5 wLsG+P9MoDEI/hwPe38gToXP5I8a8MODzpK8yvnjMHjVHPyyAPk5H/kqgziL xDl6yhOeaOAxNDaYePhEHzYB4/fEReoPwxew67eSlL9ssGHfVnmtbm3yZYuz 9q8N2+jFTId7uL9bHcHMnB9+YxX7WXoPpc+xHrGsdk/J60/TI9gGA0vRcq14 1v/Y+48dB0Yxf3xXYf4G1jPsFyDPBfJboO8+9A9LIjzVRoSvAGM68Nt0Jnus YN/k72RvCvJ/MfjAJ4j8o10qWYc4P3ubEI8fCCf+7jaWeKW5H/GKQTblR4++ lB8LB9I5L8c5FwBvC/zXJ7e4ZNqv3UwB4/ZJw6q3q8SwLjeHPygsOsUezY48 9vVEAotLHafr9SieZUY3+zXZRLCcML/xC5z+d095Lz9Eb8xO8YLXOeerup9l ivh+hPlvWH8W+ysgrwPkr4U+VejvjVEf/qwC3tadhF8ZcdtDkexrBR+NAK+q mZI/qsPIP7FSdZvXP/MEqpO7B1J9bMkjvn6wifj653jinQ+diHf0kT8RyB9H xMEfxEHTDbLHB/bktmwdIzc/nh3GuLnNe/sEkyix9c/5droTt4pPrrhd2Oh0 XZy3rK+77MVk8d17akbP5W+IH1jXF5rtSxffwvduzJ/F+uXNtP865KVC/lWM /Pz+AE8r8DkDbzzwa8KeB53JvtXgWS3YvwP1S3Eo+WdPvGSfw/uLFIH6kLtf qf94fZ3qYJ8yqoOrNhGfa4PP1fYSL40AL+kgv8yRX7GIk7eIk+ctZG8K7B2y VCdFISZHbIxRQ+ed/AuNa2LZWdo9373JFk+OeZ8r32k7e2bh9cmk3TWx5ln6 1sb8jzG0XhH7B2NUakvyLeHfXOg/Cjx6wDceeLWAvwk8m9+P7LNH/aqG/TPS yR/nG8g/poMk+0Lev/UYSH2e6nfq7/LNqb+Y95X6i833qU4+Qp1cAr5fDL5/ DN7KBm99Qf6FIf8SEUd2iKMt8Ecl/BE1+1f0ruGXWDHG9Yk5lSHfMlmh+ukd U/PS2D58B2I+F+M77HeBvMOQnwt9HU6T/iTgyQS+J8C7A/iNYM9S2PcS9jqj v/plRP7YV0v+magl2Ufz/vijC/XROdrUP18upr5NGX1bxWPqP16j/7iKOvoM dbQH6oE36oEZeO0PeK0R+XkG+SkzjuIsL47iLAX+8oa/yj6nzm9ZkMKKMPLv QMxfxPpK7G8DeRGQ/wr6qt6S/jnAEwV8HO9r4L8Ie9rIkX0vYe/vXLI/+RH5 w3kk+Wevi+S9g4/1uHdkDqd1qwzJ/z3hx7Ho28rhR4bzqwSO1zjfLcD5EOd/ B37kvHcedoYjfm4jX90RX5vhp10YC+A/Ho8+GL9h/Xn4cQTkxUP+EehbyM8R eHYDXznwVgP/NNjTAvt8EI/dYL8c8nMV/PNFTfKexuOycSDle2wNxe3mVOKD PMS1JvjCFHHfCD7ZjLxYBr45h7w5CT6KQl6vAT/OR94NAp/JghdfIT8j4B8e p1cRd9r4voL5P1jfgFEb8rZBfgrq13nojweeJOAbDbxuwK8Mvr8O+zrjfvAK vHYA9cIcvKdrIXmv5Tz56DLVHzvcr0c+oPqkgvtbqwXVL2PUGTvUNx3wtC3q nzF4/DvqYzl4Phb18zLqjBijHuwPgv32iKs4xFVb5GsGvvthfi/Wj8b+HpDn hvEe9BVAf0/0QxOAj+MdAvyzYM8A2GeLe1dlKdmvivvsZdThFRck3wF43VYe Rv1QtA7VdW8D6pei1lPdN06nfiqmK/UF9hrUb4WgbziNfqyXE/UV/dCveaLv cMEYyf0J+3xRVx0QN9HIxxTk42vwnFItfUdiPgDrsxB3DyAvGfK53m0Y+wKP LPCJgJfjn4B7V2fcX4fjPim/gewfYkT+cMf7jtYIyXcT3kcewLuJEd5RvvhT //4Wfagt7qVauKfWd6D+fzr68M+4H/A+dxJGZeDvDPzdERfjERdpvA9Hvn0F jwWDx+aiPuzDdwvmr2P9NeyfDHnykK8AfWrQbwg8Bhj3AG8V+nAL3BftupN9 /rC3EvYb4z5jAv88kXpn4vcaoSvdFz/gXijXQPfJAV/pXlSG9wh1vEd0n0T3 0eFz6F5VZUVjEfAthX/34dxn49wXIp9GI59GgKdWgadKwf9Pwf/dUFd5PXiE eQes5zynwfMT8jdA31GeJ8BzHfi24j54BKM37tm/cS/8g/v1ZtyLU/De8Bj+ 0egq+S7H79kzZej94gDeKTzxPuaBd4oDeOdZgncK/l6hN5n0m70g/cdxrk9x v+qhSfkSBD5YDB5qAx7i7xQ7we8TUDdl0X9cQD/C+4SpmHfB+r/Y3xHy5kC+ OfSVIV/dgcekC+HLgr8mwn/crm0YZWDvTbwPHoI/UuCfnngX5v7j7z46eE9r xbvZVLw7ntekdyNPjOqQPw7+vXmDzu0N4nYw7vcPcC/fmUY883sd8Yw752/c Ex6jLgZ/o7oYi36jCX1bK/q4ueg/hqH/mor1idh/C/XwJuT3k+L158Bj9IPw 2SPOChF3r+Gv8bBvBN5b/fBuOAP+EME/baXeffk75Ey803foTe+Un/Ce+92P 9m/FfgucSzPOZfRXivdXeI9fCx4ZjfeOVD3i5/dGxM+tqHuDUPf2ZlI/YfEZ /YQp9Wkf0O/G4D4QhfuBoTHNl3yh9W2xvxL3tTaQn21A+tqhXo4EnoF4x/JD fs5Cvt6BPa2wLwf2WsJ/6fDHKYwfdku+k0u/jy/1l5xXlfJ7tozku7x/N0me 6FQqyb82QyTrmvclyX4hcYxkHxYxSLK/VV4jeW94pCF5H5s4RvKe63JB8v2g cYjku4yh1P8ue6X+nzn0R/J/nKZvku/eNbv/7/8VVjxc0+1y4zH9eTZuW+Ld vhoY7zbr675poNF8n7VLisuGGn+0zlxiuVvOJGWK9a+Wj7kmcqPrbil+XWj6 SrPS7kRloenViJ+Hfk4aaHb/EFN5UjLHbJhK08RzPxz+++bzfD3fz+Vx+Vwf 18/xSOOL1zEbIHZpK7R7Fde2W39t0fepQb3e/7YQPM4Y+v/VtRANTY2rG2pm KVp4/oZGrbmvsKJadcPWc8FCu7WvOs4UhQl1rv1yIurjBOFqp1Q18SVhjBt9 P8N88Uta/wb7x18leXKQvw767rwk/XOBR9p/44FvVE5Tz8TsKcKs0dM/DHs4 V5T4zMF9/oChotrQTeKFR72EFP8Q1WTnI6IDzfMOxK6LF1R0j1zvWlspPL3x zSlS+5vw5ZGy7Dndn0ICvuN1aF63idZr7aH9ESEkT72c5HuMIn33xaT/BvBK n28y7MnDeo9rm0pDE6eIRiid8e3c01fouu7hz5DwUJFMxuPcleUlQomew1DH Ex3YuWDlrof3abJCkcvw0J4mLOBvwNK/0yzYQ3xfwLysPq3PwP4yN5J3vTfJ D8wgfXLQvwh4pOPvLvy/uYDsy1Gk/VPN1q7602GF6HJs+eMLE/KEzOnmxkt/ K7O+w+T3TUmewTYbtlZ5hbqy3ktPRAYH+DDrnNbCSx67mDK+fTCvjfUZ2D8O 8qKHknw/6FOvxPnFEB7p/Ci7RvGSjvONWkv2apwleU/rx76R+6PO8jwSvOPi Hdn5CjvrMar72eqrx01vrzzLdGPUbR97pzAFow3DFuWkMz18u2I+HevfYX8V 5HkDb9ka0heGeFBB/Ernb1wCxXflboofQ5xPHuwvh/xOt9RvPvsVzqyCYi57 /ElnZnMMOlbsfshOmh5ZPCC0jNW+337LMbCcncK3CebnYn1P7K+FvK2QfwH6 5geS/kkXCI80v1x6QvnYre38f/E+FvFnhfO6BH9YQt9BvQaF1U9L2Dq5WeGt Xi9ZXtaVaePav2FhCzaHVoe9YXfxvR7zYVg/D/u5f8dCfjX0rUV+DgWfSPNf gSPxh44B5ecwxP9xxNdKnJ8x/LMW+hvz6uUtU9+wWTZ2dnWmr5jN6u/u7hur mDW++TzHa4j9PF62QX4I9PmDPxRcCY80P/dfQXwnn0t84ox81UM+jES8HcN5 3oa/rICnosVtUMTbYnaqt1JW5x+32At883nuXx4fOpCnBPlx0DfrJum3Xk14 pOvHxgTi5y2lxH/zwS+rkL9KyI8axN9hnK8V/HcS+DbufTtRxf8iO43veZg/ ivU8fnm+zYd8V+jLKCH9gy8THun6dnEl4X8Ee7yl/KkP+6Pgj1vwz2wpf3K8 lfjm538P609g/yjI6wn5F6FPH/pzpPzJz1/LieJhhD7FxzLESyTih/MLz1+e P58QfzOBZxb8x8/7m1R88v1OkMf51Q/67iM+I1wk45Pn06enlF8D2lC+L0D+ bUQ+XkV+zkK+7kP+8ny6A38dwvlyf3N7DmO9DfZfhLypkL8V+q61Ur6vei6Z 75yfbp4jvgrzJf76kEZ81gx+K5Piz5nQx/P3OM7zNeKP5wvnh9lY3w37SyHv HOSvTSd9E3eR/nYJkvzJ+V6MemSHepTrSvXBLI7qRYePVD8eQ/4V+MMN5zca 8dYD+cH5YQXmk7Ge769BPTJAvctGvVc6RPo/pErWI14/3U5TPbVoovr6GP1H 9UKqvy9Q3xJgvwnOawXiq6tUfe+F7y2YZ1jvjf23IS9sGsk3Rj9i8Yr0tz8j Wd95P3KG93/oVxRTqX95C7w/XcjeOzgfJfQ/RYj/EuTrfvBLGb7TMJ+H+FuP +pgCeWLg25pM+qKgP0mqX+L93Sf0ewroP19hvVwj2Wd8kM4jB/Vf+E7xfnIM 5edB9Jst6D/P4XsP+s+dqIeGAbT/yAGS9/4tye+GfrcK/We/V5L9J++XU9E/ m2K+GPbsRTwYJFO8vEN8R7ymfFTwIP6wWkt8p4B+fjX6+RvraP5nFa335PeB RJI3Ef1bFvTlwF/HpPr5/1fuR2duXn4nLpxusO3u7oHeK79cT8LIf/dICV7q +7KnSLA38V08VEmk3Kyb1d/voOGKtMFrvWIFQdH52JaDKuOFbYvLZ84xSDCK SojKXdVukahNr2/5bt/niUxsl7vLXz1hrBdxb+jLey7C9U1lNV7OXUUGW5zW bvrtYpKXM+Gw7iAHQXTwRKuf+hbhbtug0UHVvUw3jVk07FZLkChhU09v+4Hr hOHxpQ0DWyJMOx4fPV7vTIDw/OsEkekQY8HlhtOdwYN+m0Yse/JrUsJZIf/d 529rktYIAadMZqieGWvW7bna9UP9k4Q9N7Sqbj/fKJy+2LbKQWupWfkz+n34 R1rPf3+4lOSs1pz4Tz6XM/0Y6a31Ijxcr64O4ewXQvg5ThPY9c6K7OV2ycAP NQrkH+4HX/itHfzJ/WYFP7vB/9zPW3AuiTgvfi5hUufHRz4fDDlzsP/XqOc/ kk0thI8Y2eGHJ66q24v8H1uvUQtaLHJ3ePJbUdZTcDCe4vSJOQtlfqe7D3H1 EU3e6Tlu8U834eDkV8ZP7Q6LaltfhfWSCxPpK4uCTq4XCVMHPUzZ9dFWyB+r FrbGqURg28svmg9KF46Jeu3KTnovqF97e2j/znwh9cm6S/vGfxcOZVut3PGp SEjH98sUmj+A9eXetP8a5JmqkPyb0Lf2D+m3AJ6kHYRvJ/DOA34X2OMO+3Rh bwPs/41xBfyzWyruuf/rneicGM5nOuSZQN6cSY+yZNdtFLZi/J6XeGds+G5R 8OXVwTMPbhJ1SC0+8rdhnGjZLMtpxeURosDX4rot++4Ll5U99x02yhH22M6r 2X/2o/D0QXSPOKdXQlPUyrYaM/qyscc1w3OD/go9Il+mMi9d1mmmU/wfcU/2 IDJzaXnpWPZ894ApOiZ92E1898a8PNbPx/7fkNf2IclfA33D+5L+aOA5NJPw OaURXivgb4I9zrBvBMbhsH8M/GED/3x0kuQJHt93kAerEP/aOCd7nNMy6Bty l/Slro/f82vHQpG2B41VurXLdzndEAoCktoEONwWbnX5Fv3U8Lcw6fKitJxV X4W+IVZPO7wzZ0kRK/T7tNdiNxV7zXEe68DmbohX1m6eyhrTgz/LTfVkm/qM U52ovoj5rnJJe3JtJwt80rYsfYUD88P3esz/wvqZ2J8PeWmQbwZ9XaBfU57w HAO+c8Cr4E74bVfROBr2ucFeC9gvC3+sh3/SFCR5lfNHK3i1/ijxy2zk50XE /2jE2fgLdI7Pgec18LT4tvv80eSPcBljt4gLi+VmzmRvTxwbbe85iaWM3Tmj bIs3O5346vrB2evZpEU/y4dHHWc7eqbNy1sazIzbrXSryL/CVPofUTlz5DhL W5Kxw883ja1kqc4PFU//990f86ZYH4D90yHvIuTnQF+nk6RfH3gG7QQ+jHeB fyDsORZF9nkgbvfAfn1f8scr+Md6sWQd4vw84wDxeCP4Wwm85g1e2Yv8PIf8 cMQ5q+OcP8NfmsBbV+hjM13Gj33HGOn20Gj2iPOsdoG90a5VcUxvdkb03Mm3 /ndvGBiyyiebGdR+eZ8nX8JshWj9aNm7bOrTvZM8XjxlyevbB24yfMCm4JvP 62N9KvbrQ14d5EdB3w/ob8I4HPi6w7/dgf/bJbJnMuxbDj7YCvuLwbMN8M+u EMm6zeufhSPVSRnU8Zvnia95fSi5T7yzG7zTIZLyRxf5cwpxcBVx8Br2HIc9 HtnZ16/9zPtvzJGbGOPz7hn7u/dPgsXtpyylR/asyvLXTLbkffG5Pi/Zj9/B /m33vmHF+pFj00Ne/ffdFvOpWN8miPbnQp4n5PPxDPRz/2YDH4/becBfCD4Y CftqwePPYX/b4eSPo+gf1m2U7HN4f9FydPy/PkThDPUfS/yoDvqbUx1MjCQ+ n36C+NwPvJQNXtqI/JqK/LoiFSet8JcI9tb+OX4hvLaGfcDoavorZ9bmGhYy b+u+7PVv2Fej6/Ynl1WzN72t/c3W1rBGfIdi3g3ruZw6jLcgn+szgP5k4JkM fLuBtxD4Z8Ge9rCvLeqXH/oAPR/yx6go8o9jumRfyPu3yeeoz6t0pP6uQwb1 F2uvU3/hMoPqpAHqZDT4vg583wu8ZQDemieVfzKIo6uII+4v7r8FNxMunU2o YLYYV97L99TcdZfFLi68F3O6hK3G90LML8bI/XkY8q7xOIU+rn8+xyPFw7xe bYE9SrCvDPYuQX+VkUr++I0+OvKhZB/N++Opx6iP9q+k/vmOiPq2P2XUtw1C /yF7jPqPaNTR7aijTqgHGagHieC1SeC1QuRnI/LzLeKsAXF2Bv5aAX/1jG52 qmpIYQoYFTGuwnwc1vM45fK+Q34J9HGevQo8qcC3Cnh5H7AP9tSjv9oFe2eg b71znfyx/AX5R/2y5L2Dj8+vkH9Xw49z0sn/fSBnF87nF/Qcl+pP+uJ8M4GT 1wNL2MHj8RvsPCiVvzweuR+XY+wB//H4dMLI13/H/kOQ1yTFo7w+2QHPNeDj 8bgL+DfCnhrYx+PRAfbvRDx2hR+vFUne03hcBihSvj9yoLgN9SU+KEVemxwj vhiBuN8MPvmOvPAD3/B+5KpUHf4NvuJ5/Q58thp56YJxHvzD/RuDuJP2N89n PtZDnnT94fp5X6ALfDuB9yfw28IeRdhXC3tnIa8zwY/d7ck/9iETJO61nCd7 raL6U3iKeNQ6jOpTf/DsX9TrseDhnqjXd8HTMah/M8Djb1EfDcHzG6Xq9HWM 3J+8XvM45fn5GvkqHcd8Pa8zNyGPj17QpwP99cAzDfjOAC/HX4F6rQb77FGv 9WH/q+XkD5mT5J8IN8l3AF63LwdTP1Q/kuq6dQv1S5VKVPf39aF+ysmO+oIq 9I+m6Bs+oX8Uoa/4in7tFPoO3j9ugH1jYN8fxKkh4obXh8nIxyLw3GQpfuD1 g9dl3hdsgvwT0Mf7SN4/8r7nC/COAP4tsOcB+h5d9MuJfcj+9N/kD/vR5B+L A5LvJryPVAyh/nzUDeozU3Gf2Yw+dADuMyvRp+5D/98efexo3A+00OcOxcjx pwH/B8QF74/SkG96yDdbKR5LQn3g33ZSdTcF+/n9iPeJmVLnqQ48HB+/d53H /VUMe7bDvouwtwj2/4E/tsM/Afsl35n4vWYM7osrcO9RN6L75IyddC9yuUj3 zd336d7UfIDuo5f16F5VjrE7/PkQ+L7j3HncnkU+3UE+cV7lPNsb/L8D/L8c ddUH37y/asL6bdh/R4pfTKDvK/R/BJ6hwLcAeIMw3t1M9uilk32Rl8jeQbgX PoU/8uCfJKl3OX7PVsC7nAfu4a543xiPe7o93j9q8C5SiHHhbtJvl0P6rXGu FjjXVciXKuTLVfDQM7zPGIPfZcDvbqib+aibvB8pxbcX5uWwfir2dwSvPYV8 T+jrBf0C8CgBX/9LhHf7VvgP7xP9MHJ7rWH/IvjDG/7pIPWOyd99juM9bTne heRGS747TsPoAvnzIf8j4jQDceuM+70D8uEEeOY9eGYy3rUMBOJvMe4NlaiL CngXu4l+4zH6uKv4VsL8bax3wP7DqAelqA9GuM+9hP6PkwhP6QzCNwZx5o64 4/5ygH3asFcDYx3eHyfDPwFS7778HVID77wheKdMxigPf4Zg/0Gcy36ciy/i PRrxXod30kjc5xPx3vET/Gza/OBf3WsNp7rntY36ia54J9+Md9pqvKdH4h1X Du/uOZjfhPV+eMd1xDu+Ju7B/ngnGIz3BQF4fvkQvjjgPQb8PA9dYN9c2Mv9 5w1/hGNcLfVOLv0+7iU1nybl9xFS8bxZiideLZLkX8+DknVN21uyX/jiK/n/ gvibZH+rJvV/RdlHyfvY5VETJe65TOp/kstS/6eMspR87/KTekdUlvofJ1Dq 3bvP/4//FfA/Ugr+V7qG/5nS8L9TOv6HysD/Uhn4nyoT/1tl4n+sLPyvlYX/ uf775vN8Pd/P5XH5XB/Xz/FI49OSEypcHYeJVB9pbTv210IYZXlBHKAwSbQx Z0yw+fTZorAVmnN+vdkpHNpZd2Vq9TyR1b6M3q5qq0Ub7Ytzg7tcEpYXzFVS 3XhTEJdosfD2d4XTj+h7rDvNyyjQ+vB1tF9hNckzzyL57aBvNvT3Ah5p/z0r pvn5axTnZeRYi+ybpisoi3SEEd9fep845S1czu+qc2/2aZHzsx2dwgKihZFH x3qcnP5caN2r3jopvVEIjVZ9vTVYlm1ofyHqwEw5pnOKvk/tofnYQ7R+bTnt b19I8lIaSH5iC+lrhv4OwCt9vtwe+1Zab1m7vmfnpV5C0FjH9sLZSNHhGi3d jRm5QsaaWw/W3GkQ9A2mv4jIUmHMYV2tnNiIuX4N9xQPmMpetPocuzNuFtuA 72jMmxnS+nGutN/hPckbb0Lyq9+RPpnOM/7pHzKd8EjHX8RD8r/wi+xTmED7 v00f2WPVJpGw3LGh7Mirz8KJqimsKdyQOQ7f9bIx2Z5dvu3R1P6gF3scfmxo lOlu9i3px7FONXtYOr63Yn421nti/wl7kjd1Askvgj90v5H+2BuERzo/OjhR vGx7QOfR9i3Z27yc5B0ur86NjBjPVi0s2TNo9Ebmkqf+om5XKEvrJLvXMTCa Ndm1yfveI47Jle83j1Y/y2QW0Hcp5rdjfQD2iyFv+EqSrwV9FfdJ/61VhEc6 fy9/oPh2fU/xM8OFzqcE9q+B/KM3ld9NPHmUvRn6XbvH9zhmGu3k2m1hNMv5 G7MhI6mjeOGKavsJ1w6KZbrF/ft+fIrm32N9GvY7QN5WyL8OffovSb/WOcIj zS+bQykfvyA/GvUpnpxxXsvhjwLoe/n854DjDwKZV2+T7LqTyWKHttZGDxZf F6vcP1ymMFAkdsS3DebfY3059q+CvIWQb4B4bw0n/fGBhEea/xZ7EH8kIz95 /K9HfN3E+eXAPyHQv1K3h/AoLls8q+JVvsWUaLEO03G9+n4nO/iMvudifjPW 94f/eTwcgPz90OcO/lB0ITzS/Ly0lPhODXwSgny9hXyQRbxZPIz9d54e8NdC 4Dnexurr4+GpbNbe4dGOahlsI77HA/9orJfxpHhQgDyeb+uhLxj63YoJj3T9 GPWI+HliB+K/t+AXhWTK3+HIj2kOFH+yON/fAvmP41P/cdQqrPAqM8R3Cfz7 K5/W2y6n/QaQ9wf80P0P6WtpR/qfPCY80vVND/XkLvh6Lux7D3vlYL+vBeVL NPzTC/7cBv/pAd8yfAfCn1uw3vcynUdHyCuAfE/oi4I/LxZJ+pOf/xxnigc7 xIcv4uUg4icT8fQU8Xka8RaK+OPn/8Gc/HcF+AZhfh3WN2B/FuQFQL4N9PWD fvXVkvHJ8yliBeXX9COUb6bIv9XIRw/kJ8/XuheUv3OhfyT8dRrn68n9jfm9 lbT+HfZvhTx7yL8OfT2gP8REMt85PwkJxFeaVcRfe8BnAeC3xeA7EfiP6+uA /JXxOfPvPDc7Uvz5fqDvnpj/iPWJ2L8C8twhXwf12OIF6Xc8JsmfnO8/oB5d Rz2qRf39soLqxRvUDy5/M/zxGOc3HPGmhvzg+VyIeS+sd8L+Csj7jXqcBH2n H5J+JWfJesTrZ0ga1dP0eqqvS02p3rqYUf2NQv30gv38vDYjvp4hH+TBD7ze x2B+CtY/xH5NB5JnPY3krxhP+lKaSL/cPcn6zvuR8TOoP7FSpn7FG/2Liz7t v/CO7C1FPDQjntwQ/2nI15fgswB852NeA+tH43xnQd5T9B8T60hf0Q/q1yqm SvZLvL+7gX6v3o36v5AuhDe8luw7i3iweU7xExFG8d4hkPLzFPgkCP2nB/jt MeajsN7yFe2vxPnO/0HyqxsIX1v0n+HFkv0n75dF6J+7lNC8D/o/9cvotxG/ 2YcpvnNGUD5+cCP++IT+fTX6+STwX+VamjdeTOtlrtD+asgbcovkh0wjfZXA l9VRsp//f+V+hPvctefPwq9MiRwh+oaR/367W3eTokPjBZ/yQ3oJCycLuBem Jh29fCO5+H/3nKSqn1vNbPh9OU0xto/PsGV2Qsiz57ebtNT5PTNd9dOa/cqL PYSq2or8Tk5+Au6jGZa1k6psnI+KDsybudTy3UZ+j85U0Hpg5Lc/SjC6deP8 J7uDItxvM6ddcCzoHpgseMUtOJr72YvfgzM9R52fOGF3mmC0Y/8F0dBT/L6c pXr805NrJ8TCaUW1x56FcfxenRUbTr+7HaD1/HfD4SQnqpLkczmjz5HekymE h+vV1SacdjaEn+O0qiO7xtSTvdyu2R/JD0Ul5B/uh1T4TQX+5H4bGEF+zoT/ uZ9/4FzGPafz4uei/Vzy/PjI58dCTgb2dzeXaTk42E40HaPciwPsR9eVQvik zx2eeS0SrPzq63yHzhFWLhgZJvNho/D8wc/suCMnRa5/jt2frxMt2lgirv/1 87owSvbXwNsuQcIwe9fPHVmOsGDs+29j/jceO1XsZvbmpRCXusb3S/NDYeKQ uBGndP4IyqFtvhxxrRBuJOVm9J4nx9YvG9398dlqYVQyfSfvp/kXWH/7Cu0/ fJrkfTEh+UrLSN+sNqTf/THh0ZI5/g/fpfuE19qO8Ff7kD12k8m+RtibBftd MTbBP8FScc/9/yyRzukg8mAi/GUOeTk/5Qbuf2UlPMXo0qBa3Kc4UtT5YOZe u+RTIhsN88bQlbmCnbi125J+N4T0s+u0i0LihMwzUT3fahYJvUKvXOkzW55d HnG2+FToV2FQZH6jfrcxbITGy/yhvRRZ7zxNkZ3SePYuoGueoYEGa39ygX2x 2nRW0Xi9X+pJbXb7BH3P3kPz9+/QeiVN2p8TQfJOjyL5/aBvTCzpD4wiPK9z CF/gEMJ7bD/hD/1C9mxuIvuiv9IoV0n2p3P/wj/zpHiCx3d1M+VB1BmKf8XF dE7OO+mcuoWSvp3w35B+aiO8xuQKM1VpbGysHBKomyq66+psHd0zSfTszeO8 6q4arFfy3fZn5ykyn72dP3TdP4d1HnssXtdlHOvZ6X2F0XE39sVvvn74hIXM xibrnWYbX7a1eNZMdQ1n9vN49JaJXwJYx0i3zRqr3NgffDtjfi7WF2G/FuRV mJP8g9DXCfqbgEffk/DZfCC8HiqEvx/seAJ/6h8ge+O3kv2rkHfqceQfq2pJ XuX8IV9HPHPkM/HL8L+Un18fUvw/RJzlIe5uwV/BDYRn8xRPN5uHWswLo8mN mhbNdg7MsGOmvsrVRaz1fED58NhdLONVn0fjXm9jbhdnPYrqH8k6hj8Qx00J YTOrV5zc7HmGmW55tZp1i2QNWZPNL2meZd+qar5brI9iVfieg/lxWN8b+9dA XiXkt7lA+myhfw7wnAe+iRiHvCf8M9aSPfKwLwb2piH/+8Af6eDfrnWSdYjz c9hy4vGzH4i/FyoTrwSWEq8EnKb8iI+h/IjDOZfgnEcC71TgHVJtP6Ikdg8z x5h3a+ow2fDT7HbPeQNf7z/FDlUO0PRROctOyXT/vmfVWfbgjOy1MX1CWW6W fbR3YCxbWrzGY3JFoPjp7NB69R+nmSK+EzH/Guv9sP845N2B/GLomwD9Fhin Ad9c4D0L/Mtgj8UZsi8xhuztAPsjupA/vqFu714kWbd5/dPMozqppkP10R/1 IGIx8fVm8Fo2eEcJ+bkG+ZOLOGhG3CXCnkLYEyj6uePD7lgWhtH6+3d5xcgT 4tQRp/+qpPqL/86X6W5imynWcDdbq2OTJE7pYfxNb55IfPnOI627FqniWnx/ Wkfzhra0/hH2+0BeKOSHY7wH/Y+BpxH47gDvZuDvCXu0Yd8n2BuxlOzvCX+M GUH+WSfV5/D+Yvk76kO2nqf+YzHqoGk01cE3qAd/wOe3wEvtwEtdkF8rkV97 ESe7ECfRsNcX9q5TmnBrx+Hr4iKMqmYREyYnXRXr101uk94nU+ybamV27kaT 4OPw4EFD0FWxb8zMf9+tH2jeEuuDsX81xu2Qf3Q46dsM/RHA4w18XYFXGfjL YI8y6t8O2OsK+78lkz+s0Rd+zpTsC3n/ZnOY+ryGodTfXQqm/qKfJvUX01An xaiTy8H3y8D348BbJuCt68g/H+Tfe8TRSsTRG/hjO/xhneRyanTVWaaGcdGU w/5nBmWwZ30TZo84lMJM8W2FeROMdtjfA/6fAvl3oG8b9L8BHgZ8K4F3HvB7 wJ5a2DcK9vbWIPuLDpA/bEaQf27tk+yjeX98qCf10fVHqX/eZk99mwX6Nk/0 Hy3oP/qjjnaKojr6DvWgBfXgC3itEbwWifx8jPyMRJzJdJv1L87ewl8T4S/P V9Hlk05fY5swumOchfkGrJfZNvvf/mWQdxXyb0Nf+0ek/wnwvAG+ztWEVwb4 5WHPF9jXCns7wP6qpeQPc/inX1/Jewcf87aRfwNP0rpQ9MMr0A9fRF83AX3d XpxfW+Aww/n2yiacD3D+t+HHv4iP+7CzGfHoqznjnx+GI75mw08WGNfCfwzf 1hhXY73Md9r/AfIeQH459IVDfw7wfIQfJwGvHPB7wZ638COPRx34ce5B8set I+Sf/nsl72k8Lp9nU75Hj6S4lb9KfNCEe4Mr+KID+uVq8MlC5EUb8I0V8iYK fBSPvBoLfnRE3nlwPkNemmBsSiT/+A6kOH3J4y6O+NEQ/huF9dMwboK8pZB/ GvqCoD8EeCYCH+dz3ofWwp5m5PVu2DsQ9jvCH9a4H1dmS95rOU/aiqn+RCYQ j7qYU336BZ6dM5LqVzPqTHfUNw3w9A3Uv3Xg8bOojwfA876on89QBzwwZsF+ G9j/G3H1BHG1A/mage8h4EFtrD+C/UsgzxAjr9e8H8oEHmfguw+8qsD/F/17 New7B3un4r651Iz8kRJP/umWJfkOwOv2zQXUD/kMp7p+U576JZ0lVPfPoZ+a i74gCv3WBvQN+ujHOqH/HY9+rQR9x1OM22HfCdjXBnGTjrj5g3xML6J8jAHP VSA/6zB/Fes3Yn8K5KVBfgXvdzBOAp6OwGcJvL7AP5v3j7BvLe6zF9D3CHLk D030Pal2ku8mvI8cxftz9OE70L/LoQ/9i/6++ST1qfobqf/PQB/riPsB73Nn YjSTws/7SlfEBe/DrZFv18Bjv8Bj91Af2oJ3Oc/x+89B7Of3o3jI5/rGQr8p 8DCMnsBbCvz9YE/OUbLPCfdwA7xvZMIfq/DOFF8n+c7E7zXqd+m+qF5P9575 tnSfPHGP7kU/9uE+j/v9RNxLRzyje1XUCxrXAF8M8E3DuXvj3O8inwYjn5TA U4vBU5bg/87g/1b0Ac24XwuYX4r18tjP+eUJ5DtAnwH0t39LeO4Cn/MXwrux nsZvuF930CT7rELI3o24FxssIn/Y4t4c0iD5Lsfv2cF4vwjDPVx7Cr1vpHvS PV25gd4/ynCPP45xQ1/SLwP/Km6gc43G+0oA8sUZ+fIFPHQbPPQI/M77ttWo m7y/0kA/MhR9gg/m/2A975+bIK8beNsc+mbyfD1FeII9CJ8Z7tEG8N9rvL9s +EqjewvZa7GL7I+aSP74GkP+OZIo+Y7J331e4D1tEt41X+C97TnejXIwVjeS fOVtJP9JEJ1bIOJ2DPIhFe+PluCZfPBMKfhbD/zdgLqoh36X9xsz0G/ko4+L R//1Ef1XBtbfxP5pkBcG+Xdwn/UFr1shP9cCnzziTB3vfs3wV3or2Xf3Odn7 CWO9GfnDGe9mOlLvvvwdchPeeVW64x0X44CxtN8G/g3CO5wW4jZjHsW7Vx3F uwt4ZBB4tgz8fAjv2m1R96JQ98oTqZ/Ixzv5c7zT3sN7egneca9H0bcYfVwc 7hVPsH8Q+oyvkP8J9aBDN9IvgNfSgO8e/j8YtJDw2+C90BFxtxH+aod4isf7 7QmMD55JvpNLv4+vknpH71Yh6fd1Uu/yVtckeUJGin/j50vWtYwMyX7BtkSy D9sk9T/EJqn/KzL9JO9jg4ol77lO1yXfDxyl3mVOSr13qddKviNGJEq+z5pJ vXtnP/u//1d4KleaYPjriL7WZSfTbPlPBmWb5qi3ePUz2nvj/sOUdYONG4Yu 6TSkVdbEll1IS2U5JoYmHZly8zzTDXatnx+13DMtUBJph2v3M9MUZ3p96DnT rEIjqvqy5ZL/vvk8X8/3c3lcPtfH9XM80vjUa4deSTocOXbUspAjvZL7imRj fXe6dTMWbiX0Ht/eebyoh+qA8YcKJwvnFZeJ8+5sFxIS557ucSZYyBkeXOVS fVqwUmuc4DAuRVj6pN+pZZ8yhR/96XsJ5ouSaL1hH9qvMojkeZwn+ePPkL4/ S0n/l3LCI+2/bOBLEVc0rA1mwmKTw+5qs+eIvsy4dW/fgmnCxLnaMgUbDISH w549ODTaW2SZmTP1xLZbwvzybZ6NP2qFwl0ON94otgqTZo02iMpuy0rw7Y75 +gxab2lI+xPVSV7jHJKfZkz69KH/B/BKn+8B2FOM9cZaU2ZFrx4snDN8nPlk 4QahZuDTubFvDwkrTu6w6WX4Wpj2InbuRgsF9rahdOdCdR2m4H+ioslyPHP9 YafeuG4K64Lvl5hfhvVfsN9Yg+TF6ZH8LwNI3xLo7wo80vHnB/+fhH1q2D/k qk/zPLmjQuvHliWiBa8E3TfGimHbtFiK1YhLzrrz2eXNXeuM92xgE9wbYt7F 7WJ/61WXZh0JZJPwfQ3zaVg/HPujIc8nneSPHUP6CqxJ/03gkc6PTRoUL85t 6DxKNcle+U8kT3CbldBmoC7LaBXJdEpdwyqfJypeMDvE/qTH3eh4PYH1vfEo Xy40lUX9ObEz40MmU8F3+wyaf4P1r7F/IuRdAd4gLdLn/nfYP/0GmoRHOn/d e1F8ewyl+AnF+YyG/Y8gf9zplRc+VRxni7qsLP88OIv9aNflbuXEApZpfOiM 494ypqSssebu7HKWhe9vmF+G9VOx/y3ktYP8d9A3xJj0P0W+SfPL2ATKx+Bs ivd2iKcCnBf33zzos7UdVyJuKmFnar81X237ksUPe3zaZ3YNC3x3wdCrooad w3cc5pdgPcf7DvLyIH8+9J1Gfn68Qnik+e/AUOKPsArKz6uI/+uIr1acbyP8 cxr6Cweb917S7g27vMVNr027V2y47ZD2MwOqWCK+izDP8TZgfxvEQxLkl0Bf Pfjh+jDCI83PzSrEdzd3E5+83k35Ohv50AfxloLzPAt/cXxGd9y67m16xIqP vVOw35zHzPDN8XJ/p2O/KuTx/PsFfVuhv1c/wiNdP8xLiJ9fgv/MwC89PlL+ xiA/eiD+AnC+w+C/IuCbfZ19UNmazB7hexTmg7G+N/afhLw2kD8L+kKh/08p 4ZGub7KqhD8R9nyAfXNhrxrs5/6IkfKnIfxXAHwm+E6S8mcazzfIGwf5bcC3 46A/QMqf/Pz1tCgefBCfdxAvYsRPO8QTz99YxFs+4u8C8AyC/zj+Aszz9Ty+ ebxfhfxH0PcD8XlNKj55PhUj3x2R712Rf6+Rj6+RnwuQrzbIX55PcfDXHpzv GXxzPlgole+vIO8G5KtBX+8s0m9yWTLfOT8dUCC+mj2Q+GsM+MwI/HYffDcB /GcHfV/hn2s4z+6IPx4f3zG/RIo/iyFP+f+jzsvfcoy6tjMlc4gyZU5mKmly 7VIShSSiokElSkKSjJmFkMwhSaEk0aw7aSKlJFNCgyHNZR7K9x3POvfzHfd1 fO8f8P60j+vee69pr3Wuc+8b8ndD3x1V0u+hII2fHO979yP8d7KhfmQxjPrD GvQjK/SPPMjn8ZBFPvD+w+tDCd9/EqX7UT72z+Ly0I+80f8s+5D+T0Ok+xHv n72uUj+1nEn91ViL+u20aOq/VyGvDfxPwXldQH7pcXxBf+f1EYN5vr4z9gdB nmscyddWI32l5qTfQ9TfOR/5HUr8ZC74ikkP4i8eOrTfB/03B+ezC/nUppny fxjq1Q/4MgDftSK+1ID970aRvCgNki83hvQFQ/8WEV/i/K4MfE8V/M8Z640N yT+nVuIHwei/kkTK98UvqT67gm/WzSH824NvJdRvIvhn7hTaX/qF5MXMJfmy 4Lu20H/STpp/cr4sX0P82QHzy+CPSgTF/9Fwypc5SpTfH+KpHqsnEH6kDCG8 2/mK8HncYPpeO47mR9ym9UrgFyXgZ3txX7CBviLO52ul+fz/lvuR3+kVNUVR xlMmqcwp2X67s8QSI/99d8id3ROd2wk+7q8n+Ud2EMZ//HXZNeaApqdZw6mR J1WFwcEbrnd0VxMmDu8yatPhsKmSnofHpVcukGj5H9j5PWmBJLjjlaFvNE9r TTfvuqi94CFsSZ1e+izPSpjlUGQQIOOiPSZJvdF351KJ/uE/TyOU1wspbG3Q PQ15ne41zU2zj2ySdOknqxW71lKYvbs1S25ZkI7Hmj9q09k5QVhUxXbYuAgJ Vwqd/jV81xmnHrVwvMYtwVCyJ17Haa+wX9U56c1oLd1I5e/dOx1NEqLW9fmx su8RoVA1vdO+k4t1C/H76bu0nv/uDDnjFpB8LucM9B4cSPZwvfdryc5pAWQ/ t1M5lfyKTyN/uV8bEIeViA+PQxzi1g3x5HGbiDhPRvx5nA/jXNbgvPi5zBed Hx/5vK8byTmH/WeOH+lx54WqYIzx4z2/+BGxCyWzO0Srj39gKRnb6NOg7uIl ZN5QPPbFzF3o9+VK3Yj9+yTno9io59PtJO33tX5S/+Al2DRPStMKPySZ32Xq jDPmGUKKg+2etIkhwm7jvDEjEt4I3YO6HEt6kiFYr38ljO3zVVhYl/x8ytxi QTniz/nYmzKs59MuP02zXwl98e2GeYb1Q7HfC/KWQ34o9Fl/Jf0v/cke9dtk nxHs1Yom+6fCH034lwV/Gfw/jfEx4pPtJp33PP7fz9E56eF8hkJeIeTtikvr 0vX7OuE8xrnF+b8vnPSXGBwzDRl6aJdk0hzftObJwUKQwZ+5qQtdhd/vuv/R v1YoBJ1yr98+6IHgo3UvPXhiq7By6tWMANU6wdXY7/Dl7SNY44jTm7sod2Yr 3pzsrTlalw0apNhwW2MgC1yha2HkMIO5etUqZQ8cxo7guxfmXbH+E/a7Q951 yJ8Pfc6nSX8p7Bk5l+z7C3uDYf92+HMO/i3DmAj/5RAPY8Tn2zlpnOD5PR51 cBH5/w55NhTn5Al9O6Av5GnRDJfRZwVLjI5yvvO23XggDBr8PiHaOVe4NHLz guMTerGp2m1WzhzYgd201V9vlmPMPEvSB+te0GCS/bM0qn6sYLVayy+nh1mw r32TV/6ct5WlntS96ai4nP3s7viy+epeNv1A1+cJvVzZL3zfxfxvrK/B/mzI 28jlQ19P6H8Ae7Yok30lHclei2L48YzGe/DvBfztAv8HIm+vID6uIlzl+NEE nFEHvujeofxXRf5Xm9M53sc5noM9IYhfVO1r+UclCuwAxr9PTu29vmcRG8CW qjqoz2fmtVYaedt2suzITc0jPDeyhxM7O5U6hTA33W7PL1w8xu7t6nZywvNb rKO+zBoT+xB2/HOyoVFUEivruMr6estlFoTvTpi/j/Ue2J8HecWQvxD6JkN/ nyKyJwH2JWP8gXhWDCJ/ZOeRf9styV83+L8kjuLhg/icvCfdhzg+Sw4SjstL CL8vNhKueB0iXNmA+nyE+piFc87COQ+GvV1hb9HzXP2xvfaxUoxbVVUu1sXd YEEHPNVzzlxlRSOnFt1ZkMUcXPWHDoySsAz1BV8P6TxlzWfmhZ77/YBtW9zz m9PNl8xri+/Sm53z2VZ883m+nu9/CnknIX8H9HH97zDKwz5N2Mvtl4E/Z+Df FuBBNfzv/43iUYj+5hcg3bd5/3vxrcN/+uScKuqP/s6E19rAazdNwp09wJ3z qJ9k1E8m8mAe8uAo/OHxk630U4lsfMA6Yszy/VP3ePdrVnXr+uFP514y/+/J C/U0K9mMkN2Hla+XsUXj/Kps89+z7k6Xt53oUPHfbz5/EOtrsP8B5HWBfD7u hf7TsGcB7ON5+xT274M/VvDPHTibB//VHSke2eAP6r2leQ7nF5YaxEMGrSf+ 8esE9cHNM6gPCsDzY8Dzf8ClROCSE+rrEerLBnlSjDzh8cqEvzumFS88qvae bcf4d3vCqwt/Kllyb5sXPx+/Z+Vs7JdT1mXs1YDPUQebK1kFvlMx34L1XM5O jLmQ/xn6uH472MPtc+d4APur4c8m+HcH/k4DD/gGXnDZk+JzwUiaF3L+5nGL eN5aDeJ3L+qJXzSsI35xeCD1yR3ok4XA+zrgfTvgFse5BlH9GSGPDiCP7iIe fxCPMxUvO7wa/5qdxGi3xaTS9l8u2+c5qldhcDFzxPdZzJ/HyOMpgTyep8bQ dx/6v8Aebp8c7OX9Kg3+eMO/YvirCn61FPH4Bf5rGSfNozk/ll9OPPrCEOLP LcXE2x6FE29TAP8IB/9YjD76FX20XNQPPIFrm4FrnVGfC1CfL5BnZcgzHq+l iJdRQfCDvt5JzBjjLIwOmPfH+krsL4E8Xv/doE+Ms7x/cXt/w35D+BMG/6bD 3zfwfwriMRDxsVwlundgnIF8fIB1jxH/B5BzFOcTAT08H3/ADt5nT8HOL6J+ wfPRAn7y+n2HOJxGfvE4LhPFk3+L85LHkeejGEd5f+L2HIN93N4/sF8Cf87B vwr42wT/hyEe2wZTfBQSpO9pPC+VtKjedVHXt4CPHZHXjsCL3ch7GW3Ckx+o C85fOB+xBx5loq4+Aq/2o+62Ac9+oi5/YTyB+HB83Iu84/E+hXmOp7yuOc5y 3KjmeCzq66mwj9v7E/Y3AB83wr9Y+KsM/38BH/+hrocbSd9rOU4O+kP9+v46 wtGB6NcP0GeC0K9P8XsD+lsmcDoX/S8fOB6I/vgCOM/7Ne8z9zFugf88vknI K17/xahX/s3nD4jOIxvycjB2hb4n0M/7dS7sy4e9nL/vhT8b4Z8K+vUE9Jke yykeUegzY3tIvwPwvn0Z/LHtZ+rr2xqILymj77ecJD51E7xgFfhWNniDCviY JXjFK/C1neAd2zBy3lMo6uPifsRxtQtwjn8bYj5DlOecP3aGfK7XDyPnj9w+ VdibAvtHwB9n+HcUfHka/C9uonh8QnyKDkm/m3AeqXiX+LliPPHM6qvE3wN3 Ew9dO434vVIZ8dRFuP+FgMdexP2gE3iuHMa3sH8+7D+BvOD8wwn1loZ64zgW CBxbK+oPfJ6v5/XK70cnRDzxNfR3gD2dMV6GvXdg/zrcz3LBw31nk7+P8b7x OIbiUZNC8QmRSL8z8XtN2AG6L9rOo3tPXBTdJ8c2071I7yjdNwtM6d404Qnd Rys60b2qFuMN2HcR9o3Buafj3Hk9paOeVgOnvgOnOP7z+/Rb9NXv+G6Peb7e Ffs5vjyC/FToGw79ybAnHvatx332FMb2uGcX4967HffrabgXvsV7gw7uhZai dzl+zx6Ad7ktuIcr4H2jtIHu6fz9o/Ap3eMTMZognqPMSP8AnGsUzlUZ9bIc 9bIWODQfOFQCfDcFvt9C39yFvimAjwTgm79TOGF9FfavhDw/yHeAvnbQHwd7 hsO+eMRrBd5ZnPA+sQbjXvjbH+8UQxCPaMRnqPgdE+8+4XhP08C7UBDe2+7i 3agIoz3k1yO+SshTY+Rtynyqh20HqB7scU+NAc6M0SL8HjyT8NtsJPXFU+iL 5ngXM8N74z7wuEn4VsO8I9a3xf6z6Adh6A+B0KcN/VNxT67C+0MH5Fk/5J08 4nUA/uXB3zSMfojHMsTHy0363Ze/Qw7FO68/3inHYdyN/YH83Rjncg7nEoL6 3wE8iMI7qQdwxB33+/A6wufhdtT3Fq6mvhcaSHxihBrxCbNa4mlKg4injS8i /luF70bMy4J/3DxO+4s9SN59e5I/BPfgjXjHDcH7wma828ihPn1Qr8HwRx3+ ecFfb/jviHgMxDhG9E4ufh83Fc0/FcV9giifDxyQxokA0Tv/jCPSfW3jZGm+ YOohzcPyc6T5bflm6XuDa7r0feyRjfQ912yY9PvBQtG7jI7ovauX6B1RU/Q/ zn7Ru3fn/+F/BfyPdAf/K8Xhf6YE/O+U2Ez/QyXhf6kk/E+VjP+tkvE/Vgr+ 10rB/1z//ebzfD3fz+Vx+Vwf18/tEdvnbXPgiNA4VDIo06r0Y7gguKTEuep7 zJHU6r2sCPeeJbT/s01joJ6n4G6x39r70Q5J6cIQ/b+qW4T3H77ZR1QmCM3y NQtvhOQK7/edru72vFDY05W+R76h+bzBtL7/HNpfBHkx40m+JJH07bhP+s9b kz3i+M2HfVceRoX/mrlQUiUr3z5jt7Ug825xzeHGCULe+euBKRmHJA6e5ses V6YIbPWRdI3N74Vwe82ckKxWYfs1ywk5s7qx7++++EX37sUMIun77XKar/eg 9SNX0365iyRP//2S/8gPbEP6mnJI/13YKz5fAfGbC/vMN/92S2+eLwx5Of2Y 1zIrwVXeUWXFimxhf3WAocr8P4J3U2WnQ/UjmFfs7oSSUn0W9mrfg4ODzNmK mZU2DcUL2G5862K+O9a3YP/+niRvhwXJn3SU9D341+M/+jchvuL8C9an+N+L pfjp19F+yUjTb/6DkwVf5yebj0zsyLZOWmLiOms6e6h8euO0TGc28divKtn4 zczj17CEvDN72Sc9/dw3hv5sG75dMC/B+vXY/8OJ5BVOJvk75pM+mZHW/9Hv OZbsEdfHnXbb/5MvPWPoPPr2IX/dIe/L3r5O616ZsYsaw48E9PFhsq2nfBpt Atk0i+cbd8mEsOBihartay8z54+mbrKKYewivnUw39BC6xOwvxHyTCB/tgLp O3KT9MvCHnH9Tjel/C50p/yxrqHzcYD/XP7TuxEOPStOseivxws+Vl1mgxbN U95nepZFJV5SKRrsmbar/Y5+f/sGpi2Lp+/GhTR/BeuTsD8X8twgvwr67kC/ 9yyyR4wvCq5Uj71RH2HIp3ScVyviEQd9PxfO3WigupU1afjMnjflVtqzV3Yf 71olp00dHF/7pG1K2jt8D59C86sX0fos7JfHebyEfH/o24Z6UzIge8T4l/eJ 8OMw6vcc8n808msuzu8h4ncC9lmtb3dm3rOkNPP6P33nfw5Ju5Hg12dnrQs7 W0ffgzCfi/WXsH8q5M2CfAPo++NI+pXekj1ifD7Um/BOCfhyF/W6CPWQjnzr j/Pdg3jNhn3vty53WrXjNhu0ekzDzZwEtnAbfT+BvfVY3yuO9l+HvA2Qfxz6 Sq6T/vfdyB5x/wjwJ3wueEv4txb4Eon6XYD6eNCB8i8W5xuSRfGTg31tr/7L dl0Qx9rhOzSZ5rOxvgP2m0PeE8i3gL4jwN8R+8kecX9jiOfPq+TPHY6H8Pc2 /A9APP8iPsqIZ1fETxn2dcT3HMy/xXqVBNofDXnukB8BfYaIZ1IP6Xjy8/9S TvlQ7kD5sR75Yoj80UI+OSG/SpFva5F/13C+825T/O7Avl+Yr8P6XtivCXmW kM/1rUR+Pq+Qzs//1vtiqq/bqHcv1N891GNX1Ocd1OtVK6pfXs/zSyheZThf A3wbYV4B+HAN+7m805BvBX2v3Ul/eyvpeuf49J4RXm1bQfhVU0t4pgN8iwTe xQL/YqHPAfH5mkzn2Q75dxLnOx7z2Vifgf3FkOfE+xv0Oa0i/fuNpPGT4/3X b8Rfxp6ifiDXjfrDZfTLD+gfNyFfTtSPipFve1Af8fhWxzzHyzvY3wx5FctJ vn0v0icXRfrX/dsm1Y94/3SaQv1U5hjxF5ls6rfGY6n/mqG/DYL/oTgvZeSX KeohBPVrj28DzF/m54v9/pBnN4nky0STvh0bSP9fLen+zvnIYfCl6+BLISuJ v4R8ov3D4O/BOjqfSOTTbuT/c9RrJPAlEd8mmG/E+tU4X3XwpSHXSL6qO+lT 6kj6Ne5K8yXO77ZlEN97+YD4n4Yc+GcX8q8inM5DxYnyJwD5Xov+lRtBeDIW +DuY9wvgRxPWOyL/g0PBP9eT/HDomwj+uzBTmn9yvtwXfH4H7K1AfDN1KP5b WilfhumAr6ymelRHvy3vS3hnd5jweRrwWFJG84k+tD5wOu2v/kvy2muS/KuI XyfYd85Gms//b7kf4T4XJ3vwzZkXFwdJ/vrTyH9X61feW/nvNME3scS2/qIB vxfG6yktX3pJebEk8dDttITViyW4PybEB2xWWRS7UqhfeajEZ5gdvzcnDjRO D757YJmkf/KXhiHa6/l9NOmAzvxIOcdDEpOcwKvxI3ZJcG9Nlp/b8KDPnsuC asntZw4xGyS43yZ/6FD8b8nnWEFW8VBqS88gfg9OFpytHOuM0wWn+JWx0WpX +H05ZeOihgb96ofC4ZBVe5eNieT36hTlJfS7dySt579briQ5eW1IPpfj3Jn0 3v1G9nC9K+eQnRcyyX5up5Ee+eUCf7lfVToUB8GF4sPj8OQwxW0a4snj9liR 4qyB+P83zkp0LntwXvxcXETnx0c+z8+xK851SMhcQ4tPSySKGPs3j5gv13mt ENC+9obWMjfha1nQs0DlzZKorharP5y2lZgZ+W6WafKStLbo1l+uPC6J+j5p 8ol1KcKYst5hb0sihMSa40cdNuQIP4TO9i5dM4V2nnq9Cjo0CdZvbLdOVX8u tF9hN8KwQZZpbF6lLXP2g3AvZMI4Te+e7P3f+29mTK8R/PHdeSvN73Kh9a/K aP/qNSTPwoDke9aSvlFvSb/vD7LHp5Xsaz+P7P37b/5/7Fd5R/4UtSP/opvI 36sXyf9LGO8jvuNEec/jfwLnpIk6WI14jUD8hnSa9mha0iaJL0b7NRYPuw9w EWwNBt/b+d1bYjXWwW6eZYrw4pbrKo8bacKQvHFGF6pKhF21Npnzjz8Teu2Z V2odr8iG6qseDFrfhmXf759WYKbJYr/IueXkK7NbP2QOXNtmwr7Xf7Jp+T6e PZF4XrAeZMHedbtyYfMWNVaN7wWY/431Ec20v0cGyQtjJL9iN+lLrSP9Gblk j0ss2Xd5AtmrOpfs329P/lR1JP8WYwxFPLcivs+QvzIinOD57bOK6sAbuKHQ jfIsFnl3FPGK8SB9s0++XZ6mliRswaiyqz7lZOEHIdlG85O3xVvBTjHG+vKL ScxmdNXU/nOHs3XfbTePmmnF7L6Z/7qXYcL2dMnd32PsOhblNaugtZMDe6ro N8rVeifrXJZ55E9HD/buSofREcsOsG8L565yll3HXuFbCfNPsP4u9m+DvEOQ bwV9s6DfF/Zssyb7gv3I3tNnyP7nGOUcyD9Xc/L3zlvy36uF8vYW8EHFWRpX OX6YSAhnzIwIX9Lb6P0n/4fMoPzfG0fneB55F7qY7LFF/Mqf/JJZu1iDpWB8 c7UgK9bfmW3TSLrjXOTA+mwq7jevcQ97dXzioLa/t7PbHqE9neacYUPXR6jU CMfYvy5nZl22DGUjEk6++D3jDDM7n3AoZ3wYq9m167PZ1GBmju9RmO/Wldb3 xf6HkPcS8rtD30Ho/wR7XsK+zkU0uiCeufDHHXnqCH8L55P/RxGPq1oUHy+J dB/i+NySQThuygi/f70hXBF+Ea54oz4ePqT6MME5b8c5b4K9FbD33rF/1yYW H2C3Ma6b5iZYvAlhdc1X3Sc+usD2b/635mKPy0wzxcnm7eAwFjm9e5u7n/Yy j2ejffRnXmIRZgqJj5UD0lYa9f4gp3mePTGl7wWYtzGk9UrYfxryiiF/J/RF QT+3h59vIOwNhv1j4E8Y/CuCv6q/yf+fpRQPH32Kz7QM6b7N+59eEfXJTujj /dEP1gOvJwDXVIBztqgfN9TPU+RBL+TBd/izGv60/zo/ZMGsS6z1C425192W Fk28kJZlUjt/VPTBND23vbKBmQlpR/90PDp1UEya5+3XP6Inp6QVK1gfbp19 J20lvqMxL4/1+2bR/ijIq4R8GejbAf0VsGcQ7PsIe/fDfh/4YwD/8oGzh+rI /176FI908AfLj9I8h/OLkf2Ih3wG7zEppT64Cn01Hv2gFP3hAnDpAHBJAfWV h/oajTw5jzxZiXhlwN8uJ7+dl/NLTnt4gkZJatuItCWxaUdb85+OvZ2QluOg 6VTfdUNaZl15/Ue12DS2nL7XYT4X6ztCzg/IcYH87ojvOejXgT3cvj6wl9sf D39k0a9K0b8egQfsAC/42JHi0yQrzQs5f4tPIp5nAZ7Yxpf4hQf4iGID9clI 9Mnmd4T3L4D3Y4BbfYBbRqi/B6i/ROSRAvLIFfEoRTx02yjpz3z7f/MIo9sm 9fdzLRLYcNWvfVY+u8X88L0c8/0xXsH+cMhThPzT0PceeGEPexRhnyrsfQz7 u6J/tcK/LeAFXuBXIVsoHoWuFJ/4aGkezflx3A3i0RGWxJ+P/ybeVgbeNrE7 8Y9o8I9y9NEy9FHZ3dQPDNEP5gHXUoBzqajPcNTnXeTZEOTZYMRrC+K1QSh3 Oe0Qz7Zi3IlxE+Z1sD4AeZsPeeshvwb6mqB/PeyZA/ua0L8qYX81/HkO/1rB t07C/x3gsbZWFJ/LodL3Dj5OTab4hi6gdbORj+8gpwPyMQZ6/iAfy2HHOJyv Duzk/aAZfpQiP3gc1yN/EhHH+civvYiTlyie/HsNRhWsH+dM+8MgzwbyY6Gv /xzSvwj2GMA+FdhbBfs538qDf2nIx+vw/yXuB3W4v325JX1P43k5vQfVexHq OvUt4UEn1LUe8DEdeR8NPClFXSgBb+RQNxOAR31R180zCa9UUXdKwLV01OU7 jHqIT6MTxUcWeeeOeP+WofkCrG/CWAt87MbrGnh8BnXNeUEn2NcP9j6D/ZHw 5xf8GwJ/C1DXDxCPuBUUn6Pdpe+1HCd3l1L/+StHOPoP/XoLcPYv+pcScHgX +tsW4DTvfw+A49/QHw8A57+gj15HH0jE+BT+94X/r5BXzsirp6jXVfiuxLwm 1sviPIwiSZ4lxo7o10egvxr2xMK+n7D3KOy3hz8V6KMW4Cdq6LP7EI8B6DOL X0q/A/C+HSQhPuQ1i/r6o5fEl743Ud//2kB8ygP3rSZV4ltHwBvCwcf++BCv SABf8wXv4PyjHPEMhX/56KuuyJsi1ONQ1GObPoRzMcCHPMyvw/qzyDvOC159 keY7WzBKYA/n52dhrw/sL4c/J+Hfh3ryd1I9+V9SQvFIMaX4NN+Tfjf57/tP IvHzkqnEM7//ofu8yTfioWoxxO+j84mn/lxK/N8QPPY27gl54LnZGO/C/jaw vwx5kYO8GI5664F6Ww4cMwaOeaE/zBbhbnesn4b9KZD3CfJ7Qt8D6C/m9xmM bXCfCYX9lkvIn3GPyL9td8jf3J/k/1QZus8ETKP45N6Vfmfi95pQvDMFTad7 j1IHul9PmkX3IiMTum9mjaF7Ux7u1R1xL6zeSeNbxNMZ9p3HuW/FuVejnjai njhOvQZOaQH/ZcIJ/2XAA5rRDyZhPg/rOW/dDXlNXD70HYb+jbAnj5837oP8 Xqh/mvyZOY780zIlf4PMyP+viMcdA4qPqqv0uxy/Z6/E+8UlvFMcxXtPEN4p ovHOY7KZ7vFKGBURz1+IbzzO9SfeV/JRL0tQLw4iHAoGvl8GvueABxxC38wD HwnF91fMv8L6ROx/BHmzIP8d9HXCfa8N8uwt3inMEa+RiN8kb7z3eNF4CP7u gP8FiEcq4lMoesfk7z7qeE8biHezD3hv+4l3o1aMyzqTfJ1yku8znc6tFO8Z ibepHmLx3jesiXAmFzjrA/z+if51Fn1xHnjBafArh0vEN/aCt2rhexDm16KP GmC/BvqBPeRbNpK+s8B1c9hTiXczDdRZDOpsGPxpD/9km6X97ol3WP6u6CN6 9+XvkBF4522Pd9zfeK/8jHgOwf4ynMsDnItqF8r3gXgnuvOPcLULf69+Tvic ZUL4HDiN+l4F+l487p8fnIhPXPIhnvbAnHja5J/Ef1Ut6HspeO0l8I+R72j/ T9xnlSF/PPpBZ/SHvbBnEOyL0id7zVGv2fCnEv6pwV85xM8EcTHCOOmg9Du5 +H38jugd3UIU90xRPqutlMaJvynS+GuWIt3XXB9L8wX+/wXnYUPvS/PbsATp e8P+ZOn7WOfu0vdcs8fS7wdyadLvMiNTpN+7qlZIvyN+F73P7hC9e/se/P// r7Ai69XdzjXHNK61mp57t71qSptZBpllUxSn5q6N3LTs1mCtXjMn17eaymjb dNDeXbgtWXvo1N1+5p/n6yTutVuhNTFLZ3jvDNOc7311t3QI2eFwe6bucEul e9fKrf7fN+b5er6fy+PyuT6un9sjtm+C3e2L6R2/p1qs7eV5rqox9f3glPir W0YLi/NDu+2fqCXx3KdfWvvFUkjYGNPqet9HqJZdeTCvTaCw4MP+6zXDooVF vgrXn9+8J2wI8J6amZglRG6i75+VNH8Z6wu8aX9nyPMoJPkG0GcL/dXLyB5x /JzW0/xb411jjAZMFFa3ds2dsnqmJGja6se1VsZCtmbr7RkyMyQDNFdmjwk4 LSg5Go6+GV8s3Oju8Njx+lfhxO2cx6eyOrC7j/umfgjtwgrw/RDzFlifj/22 Y0jeMSOS799C+pJnkP6/nmSP+HwtlMmf/X9p/dwJ25+nzJki7BqlcEPnqa8Q YPnkpcPHGOFLnt6j4CFNwnEHkzP7SwYyRfvumfMEbRZy0cHS8dUsprhiiquB pTk7je/2mI/B+h/YfwnyZgwl+UO0SF8F9IfBHnH+JRZQ/LMMyb8k7Dfec2iT u9cNQev+62Wtbj8ES82llzZYTWEGbivuB/a0Zztz586KO7GJyaW+DOznu5/9 KGl40lM1gHXD937Mz8R6B+xfDXlb9pH8b8qkbzv0V8EecX3UIl+itOk8fsDf nZDXTefZ17x++qyyIKU1beR6lnG8wrq860nm0fvTdIWvUcwgd33DWd9E1n/H OI34srtMH9/rMP8A639gfxfImw35HReRvsDZpL/rQbJHXL/Zayi/dwuUP/44 n43wvwbyDWbo+S6xC2H7Qx75deuTyhymDGhqefuYxV6vUbnq/ZxpuV6I9Ov5 it3Bty3mD2G9Mfb/gjwzyP8KfYrI35moVzG+jG9L9XhsOeW7KfLJEud1H/HY DX07nzn2PCVXzCxfaL0de7KMjRy4qOe1yEpWv8HUN0DtPVPBN5/fj/VHsD8f 8uZD/nno+4x6C2lP9ojxr1M54YduD6rPD3aU/wHIr9U4v2WID9ffbfFti5nL 37PnC4y6fHhUznRu3W27YN879hLf3TFvhfVLsX8N5PH8fg99qtD/vozsEeNz og/h3dA7hCfbUK99UA8C8u0GznM44sXtMxy2NiP001P28t7hL67PH7JZ/Bvz I7Ce5wfP366Q7w99XP9D2CPuHxcOET6zAsK/FhfCl/avqX6VUR9qyL8anK82 4vcc9t3dE/7B4Es8e4VvPcw3Yv1U7B8Ied+ADx2BZzLQb3OY7BH3NxfYPxj+ eMO/fvB3Bvy/iXgMQXyeIV5GiB+31wTfLzDP85Xv14O8zpAfBH0t6A/ym0Tx xPnnIh8WIT+akC8nkT/rkU9LRfnZEfn3FPZM5vHFd1fML8R6O+xfBXkHIL8S +tR4fYjyk9eTPur9Aup9HupvKeqR499e1Ksf6tcC+nm+1uF8B4vqfQ/Wc3zi +DsH8vWhbxv0h7WVrneOT6/WEV610yP8SgWerQK+VQPv9IF/3F6Oj9E4T56/ /HyXifBzBvY3Qp4V5F+Hvnod0h+1Tho/Od437yH8nzCJ+sEy9KN96BfK6B8c 7zMRD29RP+L1xvC9EvM5WF+L/by/6UD+wYWkL2g66TffL92PeP+syqN+Okig /hqvQv12yi7qvwqQNwP+z8B5rUV+tUc91PD6xfcezJtg/SLs/5NO8kzQ32MG kz5f9Pf3ov7O+cjeIcRPvoLPuU8h/lIJe0vQf+Xy6XyKkE9DwYduo15HAF+i 8d0d86FY3wb7LyN+2iNIvosa6VsPvpQs4kuc33l6Ed9Lm0n87wT4YKsm+Zfo QOfhqUH5c9OB8t0A/HIB8GQe+Oc2fF/B/Fz0wyb073FLSJ6HAcnvjPjsBP99 vl6af3K+/HEp8ecv3jS/CvG9mEvx33+I8uXkJsrvAZ2oHv0/EX4Imwnvnh8h fE4Ev//1nuY3gM9/BZ+v9yd5AbgvXEH89MGPv4v4/P+W+9GSmhNh17ZMnxKW 0t/vYaS8JBoj/11P89cMy5iBwpOHRcfWHh8iZO043e5u027N64nh+l5NChL9 HkceXXyYOs3eON43Mj1kavqDIcp2s6ZL2HBZk/AkE0n/e5en1KYe1/pcO3pk 9DNXoenozpoKeQdhUO8V6zUbHbQL+qz4bHVktUR+e+9E41AX4eDfy88b3Tvr LA6dmbOxh4vwUk42Pv+NqXAs3nBS69mjOpExN8N3nQgXFHuFqtiP2CFk5ZR/ WH27WSe0oXHf/oYkQU4/99DmGyeEBxtsHBbcVtfV/Fk45ahHhhDYsFfP6nqw 0Fq082F1F0vdTPwuN43W89+nNJKc8B4kn8sphF6Lfx3+Yw/XKxdOdu7fSvZz O7v1Jb/aHCN/uV/L6igOVYgPj8M7xC3ke8B/4snj1j+J4vwM8edxVse53Md5 8XOJFZ0fH/l8EOSMx/7s0PNyCs+UJKsu07hj7KiBgVP1Jdq9c36P/T5dEvxk wN7wGDfh/a17MSovXISbC+yP6PfaK/kyM1Hbnq2XhKxq2+pwJ1hYVDDiwvX9 yyWH1wV0Pm+bK1i9Wdjf8PEtwbpPi4r920/C46RLqr13FQjP2vmUStb9E3Rm 2uxfFPhOiA6f8HW2eic27N4442m1lcIBfGdiPhLrNZJpvxnk7YT8k9Cn94j0 58OeVtjX3ZLsvRFL9ufCn9HwTx7+ZsD/f4jHIsQnSZT3PP47btE5laAOzvUi efqQ9ze32037MysFt0c0KlgZtInrulcSvOre903rdkre6c9OMztxTZAUXD9X 5HVe2OEX+vy6T4mwZqLpjg+Ti4Tos2nLu7AuLE7BZHllyw/h7/06145sIuvh P/nq3fsKTHWh+/FoO0NmvPzhn6kOI9nxguNrEkvnsM3XAtaMkh3LLuJ7LObH Y31b7OfyJJCfB30+0H8R9iTDvnwDsne2G+yHP0fgnzzGf2PI/3eIRz3is6M8 QAoneH7bow68kf9GOKdlOKeB0OcEfXfCj2cc2B0hjMWoGJQxZ9KoN8KjQQVD DLxeCXtDPDwc9w1lEVbtLm5OUGDeWupR43PNmZbZQZamq8+OFtscNO3oyWxH 7xtxfIM169hyt2fFhZ2s+9vs8+VPVzKHQRcsNnY/xFL7j8yq6+r53+9emO+E 9XbYfxzypkH+FuiLhf5TsCcT9lUdJ3snRpD9uzEOXkz+mcHfFfDfBfFIRXyu i3CV40cJcLU98GWgCeV/Oep1dCGd42ac4xvYo4/43bN8J3P4ygiWhNGm3yal c8PtmfEN+zHTFy1h060CTR9N2McyVmk1XLHZxgx+3FIc8SeU+Rm5OZdon2Cj XY5F/464zVoGF0f+/BbK7Jh7RrcrKWzvweTXGq/DmQO+ZYbQPF+/E/tnQN4z yDeBPlvoXwV7HsK+Aox/EU8B/syYTv6te0L+dkb975pF8ZiP+LQck+5DHJ9H biAc3wD8bhtDuLLcjXBl3wSqjyOoj48459M4ZwZ7nWCvnMzdZYv9D7HuGE8x 66gG/xjWsZeat+edSJbd3njiA91sZn3Y8GY383vs4iGTr0MWP2XlnmbaBrkP 2V/v0yN2+r5kpcU/4pri81kLvsswz9cvwf6HkNcJ8s9Anzz098HoAvscYO9Z 2B8OfybBv93Ag3L4/zKf4nFPkeLTYZt03+b9z/c29clLcdQfr78jvD62lvC6 K3Cn2znCHUvUzwbUTxbygOddW/jD43d/guyWPfcesnSM/T1mutoNfc10+3bY F7zqJVvQfsYK2dAKlm1/aMJkozJ2v7d/lu2I96zU49TUZXvL//udg3m+Xg/7 B0FeFuRnYgyG/i6wh+dpMez1h/2z4c8z4Ooe+JuMfrX6LcXD5ArF5+2bDlI8 h/OLjE7EQzRiiX8cT6E+WKlAffDOAcLz4RmE52uAS4eBS76oL0PUl5UoT7Th rxL8nbTI5MXrw5X/HSMGJtl57Ktk8z4ad43X+b/39ajwbYvnlrEEhU9jrbZX Mit8m2P+GtZPxn41jMqQrwN9XD/PWyPYx/HgBOznONsT/r2Avy3wPwLxiLxF 8TnVSZoXcv5mqU08rwX8LtKE+MU28IuvjtQnddAnhwPv2wPvfwPXRgG3SkX1 l4E8mo88mo94hCMeVnFjVJ8FvWYLMGYNbVNoYpbPMtZEyUR6P2O5+F6CeWuM V7Gfy7OA/AfQd0GEF6qw7x/slYP9veEP908evGAd/E9EPDSbKD6h2tI8mvPj gCri0Ua/iD+3gLfZgbcNB/+IAv/IRh9dhj4q7gcvgGu/gGslqM801Gci8ozn XTrilY145T7QC1bsK2H5GAsw5mA+C+uXYH8y5InxoEWEs8tg3z7Y6wz7U+BP NPyzhr8r4P91xGM44rO1RvrewUdjLYrvbqyrRfynQ04D8vEm9KiI+EkrztcR dor7RSbyQwI/54rqdxHyK5PnIcZHiB/Pz4cYef7yeuf5mCHC0T/QXwF7lsI+ bu8K2C8PfyLg30Dk4wb474Z4VOOeFqQjfU/jeflejuq9EnX9CHjgi7xOAl5o I+/XAU84j9sBvBmDuuF4dAl1pQW8MkfdjQeeXUZdXuH1ifgsQnzuIe/490JR PUeIcFLcfziucF6gAvu2w15uvxP84XX9DP5ugP9hiAfHvROdpO+1HCf7J1L/ OYk+cwb9+j1wdhD6lzZweCn6G+e/uZy3Acdl0R9zgfO8T/dDH+iLkceTx9cM eZWOvLqDeuV4MAfzHGcnYD/v/wMxZkNfFvTzfj0d9uXD3kDYPwv+KMA/Xfj7 Dv6bIB4M8Qm6J/0OwPt2ug/xIc8b1NfvJBNfGoC+/wT88Td4QRH41i7whgXg YzPAK7qBr3Eex/nPPZF/vI/zfpAlqkeOq7/xzfvVeVGeP4C8DMg/C32nMSrA HmPYx+31hf1x8Ifznm/wVxb+R6RSPBoRnwObpN9NOI8chfuMmQLxzAxj4u+L cb8vfUz8vhg8ta0y8f+D/L6F+4E9eC4fe8N+fdjPeTjnRzaoN95HOc/m95kS 9Ad7fHOc4/XJ65XnGefhM6GvF/Q7wh5+T0iFvUGw3wv3mXnwTxf3t0Xg4Qtw vyvGPaXmqPQ7E7/XjMV9MQrvb8F4x3HHvdAY7xFBeI84c4Xuo8W4Fz7h92vY FwD7FuLc+X23APXE79f8Xsj5B8d/J+D/HvRVO3z/xTy/j2/G/mOQlwf5PM9m QT+/d+XBvnLcB+Vh9yzcr9/j3uuA+/Uw3Atdcb9Ww70wVfQux+/ZQwrpndPy Id3DZRTofaNXEd3TZfLo/cMH7xT7MX5FPDWgvyvOdRDOld+3ClEvusChCrzP zAa+DwK+t0ffPIC+mQQ+wt9/emB+LNYvxf62wLUZkF8CfVegn+eZLexbAnsP 4Z1lJfy5jHEs3nt88U7xGO89/P1Xvl76HZO/+9jiPc0pgd6FDC7Re9tPvJt1 GkejF+Tfgfx3K+ncLJC3KkVUD79RD9dwT00BzvwBfp/Be+EkvHu1a0990Qp8 4wX4Rhh4XA6+zTCfhz7aGftNIe8q5LtDnyv0f4I9YXh/eAp7E1FngfDHA/6t hN8CxjN4fzTBu1mA6N2Xv0Nuxzvvgyn0TnkS4zDE83I87Y/GO6c+8tYY9Z8O PFCZTTiSgPu8/XPCZ0u8v7uVUt97fpP6XmQi8Yk/9cQnXI2Jp938QTzNP434 bwm+P2Jegvf5fLwDJ+I93RfvuO0iSF94HunfC3vO4d2mHPY+h/0xyLOJ8G8b 4iWDd9yheL/9ibiEid7Jxe/jR0TzK0Vxt99xRCqfXYZJ48SAQGn8dfOT7mvG Y2Sl+MKqvtI8bJmhNL9t80363uBgIH0fu9VT+p5bJiP9P0nzVul3mRei965B ondE+8HS/+OEi969g/+H/xXwP9Id/K8Uh/+ZEvC/UyL+h0rC/1JJw+h/qmT8 b5WM/7FS8L9WCv7n+n/fmOfr+X4uj8vn+rh+bo/YvujRN7pETuws6f00YWHu GDVB+OO11PvUTEkfg3dF1nqWgnlAgdKUv8ZCiKlDpvdZD8nCuo57G5ecF6w6 rPKKrk8XDqwaev5FUpHgWNQwtt73hWC8kr7bYF6hmtYrnaH9p6eQvCmQ/+Q3 6dsE/Z6wRxy/kZiPW+/wrHTDPEm0Q5vX1Y+sBVv/gu065+0k+14fDnLo6Sfc Ssm799fqgTB3rN+WItd6wavvvI2aS2SZd8lB223vFdjHkpzZ2Rf7sc6v6ftP H5qPHEfrB6bT/ldfSZ5MIMk/7Uj6bm0g/Udgj/h8q/+SP4ecab18zzMflLKm CvtWa7mtKj8ujJg9dWfhvifCsvqUtx30O7KiGQ5bgtQnsu/OLR3lmoxZV7dx SbnvLVl5BxnlffOXMGV838d8Z2Na37aO9t+dSfJmrSL5ns6k7wXsnYzzFOef BaP42+8m/6Jdaf9w886OPfLyhG4b+v0Li1NkytE2MkNWzmZex2/vSn67iqn0 awjZsW47MwiOuWy0ez9zPunl669wiLnjWw7z0Vjvhf1DvUmehRnJD0U8MkNI f68ZZI+4PkLaUb54ttJ5hBuTv02wL3XUvA0PFS1ZzfAVpy3Obmbn9xRcqCoJ ZEuUX/UYev0CO3DVOc2w9BIbEyATMXxCKHPEtxrmr2L9A+y/BHklkO9qQvqK vpB+Hz2yR1y/mY8ov79mUv7I1NL5PIL/NyD/qsXn+ydyTrFY7QUnXrUJZc+s dun6dTnBerZor1j0Y3Oab+nfsf/8j6dV/Kbv9ZgvxPrn2J8Fee6QXw99e+6R /tMXyB4xvtwso3psQb6fQf7dxnkFIR6PoU+O+QfferCK5Y0eNSn548208SGC nMHjhLQxTubqIU6JaTkX6TtgDM0PNKT197A/FPKuQn4E9PmNJ/133pI9Yvzz a0f44Y76LUD+KyK/1uH8+iM+86Bf3V/5/K+1CWkjTN7s+qJyKS14eo93fQbY pL2cSd/hmL+C9d+w3xzyZCDfE/rCoL+wDdkjxuclwDsF4Ika6nUV6mEr8i0e 59sF8dOBPQOeDnBUnXSL2W60Wd/PJZ79LKLvm7D/HeI77C/tXwZ5yyF/BPT1 g34B9oj7x6cnhM99XhP+5QJf3FG/o1Afr15T/v1dTufbRo/iZw/7uhb3+XZj Zjw7ie9sQ5rviHzYi/x1gjwLyH8BffLQ74B+Ie5vx1zJfnn407KK/JsPf73h /7Y/FI9CxMcU8VJGPNfCvhX4foz581hfjP07IG8l5A9GPEdAf1dxPHH+WcjP XciPfOTLVOSPHfLpKfKrM/LNBPlnBnu01Ch+H5AP4zD/E/Wmvpj220CeMuQ7 Qd9n6D8lI52fvJ4SUe/LUG/hqL8Y1OM51Gcm6jXDmOrXCPYGIl6yON+n+A7E /AIDWp+A/VshLwfyh0Lf/Emkv1OBdL1zfKoNJ7zyvU/4ZYj+FgJ8e8PxGfiX Dn1rEd9RP+k8G5C/g1BviZhPw/pH2P8Y8nwgXxX4uQ/6r6ZL4yfHe58gwn+j EuoHqujng9EvCtA/CiDfH/FYifNzQL7poT688O2IeT+sL+X9DPKyID8b/ci/ ifSfnindj3j//KJL/VTOm/qrDPr7a/T39ZC3H/4Hi/q7J+rBFvW7mNcH5hOw /ij2W0Let7kkPwz6uh4l/Qn60v2d85FdX4mfjLAkviLzk/jLOAfan4v4dkU+ XEE+nUT+NwMf8oAvSqjfFMw7Yf1HnG8i4mfrTvJj5pK+pOWk31zElzi/Sygk vjdoDfE/iTWtL0Z8TSroPELBHyNRb9Woz4vAkxDg31PwUd5fOk2g9bORfyVV JC/vMMm/Y0f6csB/bxVJ80/Olx1HEH82hb0+38mfRToU/7KdlC+Lwyi/Q9B/ +7cl/PjgQnjnXEj47AH8KwXeKbyg9a5XwOcXkbzR00m+F/h8d/DjgSI+/7/l fmRN97k4+bMb2x5UbJxmco5G/rtqj2UVfhvGCJ6GhumXPCbwe2H8vAKHLsfd 5ksazr0YUzZugQT3x4ShhcVyZ/6sEsK8ZSzKzjkLuGcmXmo8q27/aYPEttHC rqmzEb+PJo3RW9kU98Re8vexavzrw34S3FuTrV31qrU3RQiJhlqXF3ddw++3 ydkaO4WK8gShV+HIzS7DQvg9OLk8f+DwtoEPhffN5p3rL93g9+UUT9s9G6+l PRWu/i6LPDo0lt+rU2SX0e8762k9/12AHP0nJJ/LWaBOeu0nkT1cr7872Rnz kuznds4dSX4FpZO/3K8mxKEV8eFxGIy4aQZTPHncHBHnHUYUfx5nDZzLYpwb P5d7Z6TPj498vgDnWN+d9m9Z+HWFXz8LiRfG5nEB6c7v1wjrpztozfrgJny+ lXBiXcIuyas1bjp2Fd4SlaryKIPjR4S77FFnHd/1krJ/kn0fjFKECeta9XcP viWEqHfxu9fvhaBabZxzKTNXOFS1TP74zj9CV3dTk10Hy4WmL8rF3m7ybNS2 n4FmVY3CqWevrQKMlNiHlK1mb1q+Cur4zsT8F6yXx34ub3ANyVdXI33Mm/Qb tZA9ruPJvr+wtxX2944lf/bCv73jyd9U+J+JcQLie8dIOu95/A/hnHRxPnqG JK895K1Xna1hs26nJG8Ujb8iqrfsqzspONZPGdav9LAgZ3fK+t/oJCGqxpl1 7y0R3mWNXZX9tEko1w4K3GBfKbwPcOzuUD+UndYZ5XlPtht7pmHZN3mOwBJf djGNsFVhL6dYtriMNGfjBxh8eH5Zg/kGsaFDvayYn3qYXp8R2iwe39/703wF 1mdjfwzkTYX85UdI372ppD8qm+zR/ET2PYa94bBfJZz8yYR/VRj3w39/xNcV 8ZkbLI0TPL/tUQebkP+DcE6WOCfvWtLnj/i5NUUmtMrGC58baLT4Y5o7ZPI/ YY5hB/8VE38I3Toodr+3S4vl6jombb89gbmELV1ffWkpU3HKdSgNM2eJCXVT rF02sH1Z685b6jizlzfCDJ4s3s3O6jS81m5ey4InLloYM/0gy7p4Zpy6sIEd wnck5ouw/iT2x0PeKMh3gj5bPdJf1Z7s0TEi+57CXkkj2R8IP8YhnoFN5O9E +G+3luIxDvGR9ZHGVY4fmeGEM+uAL8ojKf9jP1H+Z36gc5xoT+e4FfbMhj03 Wi95FedNYw0Yo10Odv2ltood+b4+8lSLM/s8f96Ilvx97PULs8HHH/mxc2Fn b6zrd4Y5PlH/s+XtMRajZxZWO+ISS7GcUV7S5wzT6NnBXH9eKDM/9WDZu3Pn mD6+ozF/BetXYP9eyCuFfBkL0ucP/Tmw5xbsS8X4GfZ/xPnvQp42Im8ta8h/ 80kUj3NNFJ+wTOk+xPF52DvCcfNBhN9qmwhXIv8SrshoUn08Rn1k4Zy/4pxX wd502HtghMHSkXsOsrUY9aLrdsXKhrCpu+w+fb5znt2XP9U50COE6R1VU1Lr GMrsq0ddiVPawkpMz9xz63GeaW7XH2n96mja9yVz/t2KPsWC8P0V8wmfab0F 9gdA3mzI14G+o9B/BGMm7PODvd9hvw38cYd/n4EHqsBVT+DshNEUn0cvpfs2 738hitQnR62h/hhXS3gdP5HwOlebcOc8cEdA/aihfsqRB3+Qd/rwZyL8efNQ Q11D6Tx7h9Hx5pH5n9iFtJHX83dOzTmSZv02WsvoRFyafzenIzodo9PmPfww Z+mhxDS9g09nSc7Epv18QN/ZmBewPuQa7ZeLIXl9ckn+P+jRhn4j2NPWQrou HGC/Hvwxh38v4W/BZPJ/Yx3F44YbxUeuizTP4fziZT7xkGTwD2/0QVf0wTPA 88fA80ARLm1GfW1EfdkgTy4gT3YiXtsQP5sxX2/vrE5IW4/RpjbRJVb5Vlpn 0wcaBZfj0ranrou+On1n2qjhYX3sf8WkheF7KOZXYv1c7F+K8QPkz0Z8E6Ff H/ach31rYO812B8EfzLgnxf8Pf2J/HdZTfFwnkLx0X0kzQs5f1tRRzyv6jHx u3PgF5/AL2rQJ3+jT14X4X06cOsScOsN6i+uiurvJvLIGHk0GfGYhnisa6fR aXzqOXYQ45AfleE3jscx/e8di9q0RrOx+NbDfDBGT+xvC3mukJ8FfXtqSH8t 7DkL+zJhbyHsvwx/vsG/VvgbBv9fIh42BRSf4jppHs358bWfxKMDlxJ/bnOX eJs/eJsp+EcE+Md99NEQ9FFj9ANN9IO/wLU1wDUt1GcX1Gs/5FlnCeVZMOI1 BvFSGPltcml0POuPcSDGUZi3w/rSNNrfBfJGQf4A6AuA/jbWZI827LODvaGw Px7+XIJ/vvA3EP6/BY+dhfgk/5K+d/BxeA3FdzruIVWI/xjI+cjPB3pu4/z2 wo4MnK8h7HyA858GP1KQHyPh5xjkjzni2Bv5pYw48XiqIH7a+OZ56oj1x3n9 Q54p5AdB3wDovwx7eBy5vddg/yX4Ew7/eD56wv8yxKMacTxbK31P43nZCHw8 i7q+CnwsQl4fBl58Qt6fBp4UoC6Wi/iLJvBIGXV1G3jlibrjuGaFujyA8SXi 8xXx1UHe+SJe1zG/F+s1MK6FPAPI/w59bWpJvy7suQ777GDva9h/Af40wj87 +HsX/hcAH3l8bB5K32s5Tir1pv6zCPfrOvRrU/SZh+hfDcDhaehv94DTb9H/ TgHH9dAf04HzI9FHq9AH1ov6zWz4/2825VVv5BXvM5r4VkbercL6HtjfFf06 FnInQV8S9JvCnouw7ynsvQ77DeFPC/zL0sK96yP5f6uR4vFHi+JzN32q1DsA 79sVJcSHnnhQX38EvvRuEvX9reBTfuAF88C3bMEbtoOP/QTv2Qy+pgvewfnP X/CRBPi3FH28Enl7DfU4DvU4CjgXiO9YzB8F33RH3sVAXi3kq0KfFkY/2PMF 9vnAXkvY7wt/NsE/efgrA97TzYficRTxafNG+t2E80j3L8TPvxoQz6zXJ/7u 1SbtPzw0HvfmIeCpDPxfF/e/ZtwPksBz+egP++tgP0NeHEFezEC9JaDergDH TIFj09AfDPAdgflYrFfD/mDIWwL5/DwPQX8R7HmOMRT2fgMPT4I/ivBPt4r8 vQoerqBG8Xg/nuKzP0f6nYnfa+Q20H0xpY7uPSNW033SuoLuReM+033zmAPd m9yb6T7aBvcqGYxlsE8T8fXFuTOcexnqKQb15AqcygNORQL/dwL/eV/1xzfn V5xv2WN/FOS9gHxT6POEfnnYkw/7VGHvJozt4Y8R/HOqI38t8C7kj/cGLdyb a0TvcvyebXyW3i+O5dM9PIDR+8b0m3RP7zuS3j8+hNI9firGHV9Jf+hy0j8M 51qD9x5z1MtG1IsmcIjz+WPA9ybgexL6ZiL6Zh7nV/i+ivmPon73DfIMIN8N +pZDvz7y7Czs24F79Fa8U7jifaLgCo3f8d7TFe8UZ/He872A4jNH9I7J330O GtB7mtFjehc6YknvbY1j6N1IeSyN6iok3yKG5JshTzUq6dz6o/5LZQgPJMCZ bsCZNPSrkehfbuiLN9AX88A35ME35oLHrcd3F7yr1WL9XuxPx70jEPLLgOvb oV8O76FrPpN9hXh/scW7mQ/eUxcjfs/x3voTozXeH5XwbpZsKP3uy98hYy7Q O++PrvROKdONRlvEUw/xvapP56L1mM6lJ+o/DnhQO41wREYgHFmHfjUJ+GyA e+pI3K/UwSdkC3GP2k487Ywd8bRzuA9kg7edAY8Lx7v6BfCzD5okb0c9yZ+/ mvQVQf+QiWRPyBSyLwH1qeBJ9qchz5SQd3MQL3/ETwbvt4145848I/1OLn4f N7soPa9qIB33+rPS+SxskMaJcVXS+NvwSrqvJcpJ/28w4JE0D4uvlOa3y79J 3xvmNkjfx7Lype+5cs1Tpd4PTpRIv8vceyr93jVso/Q74lfR/ziGonfvO//D /wq+paGeGlMOa4wP136S96Nyyqac1QEvqntNlekyS/dmcT8teUmAR/jR31rh 1Tc09U7Hafc93j9wudocnezZm5SUjdJ1hjuO/LQyoZeu45VjF4bON9T9UPHV tsR7wX+/+Txfz/dzeVw+18f1c3vE9tlmjnF+cfB36oDr8aaVR39N27085Zra 997C665vrl50GibZaX8hZus3S0F1zJcpFlE+QuRcI/8U53PCozWdChUXJArH j3xcNvDDQ6HT3IMjHx0rFH4E0HeFB82vNaP1Tqq0f4gdyeuuSPJX25O+HZGk fzvsEcevG+wLVvU55GyqIMxs7i0ZWKgrWaRgubjHBF1BufPFkzdvrBKqJ8+O KPkSK7wdqZ1X2K5C0MlYu/Vh+D/hoZJuwOCPPdiphm6Df8gosA/43o95VRVa f1GN9td1JXmqk0n+9UbSN2YU6deOInvE56sJfx400PqYkKm174YZCjmSopcL I/YLjs5sSsXh+4K6WkJL5JEWYemXbSGZQ1VYh+khKt5y05nLsOr+tXfns8ly JeWrlBex5fhuMaB5W6yfjv2jIE8mheT3DyV926B/9TKyR5x/id0p/inK5N/v u7T/formZFv/dKHMrnXDhjtybLb9dOfrLfpM2Vynp72CC/vsEGc0bsIOFq07 eWhCxGGW+lfjrqNsIEvEdz3mR2O9Hfa/g7z2qSTfMIn0BU0h/fnIB3F97Leh fPnZi86j0Yn87WZP8vbsPimpOzSLfXk4NvXc4E3si6xsb5fGM+yB2i3HTW1j 2BMbT83uuslsyPwtxn+uSFghvh9i/gfWd8ql/X6QVwd7AxFf/U6kfx/qQVy/ WcMovydoUP7kT6bzcYH/v2GfzkwnheDcUHZZtqzni2cS1jnr8q++1gWsX5xs 7Gub52zKi2mT7xW8ZP3x3RHz17DeAPs7wF4LyFdAPnRQJ/1rVMgeMb5Em1A9 XkK+j0c+TcF5NSMeodBnau3uqNW9mDno23ZYNbmMVWodyPnTt5ItsvfMNjpb yT7g2xHzFlgfjf0tkKcG+SbQFwr932CPGP/S3Qk/FDOpPquQ/83IL35+soiP HfR/vHF5+dHCSjZY9nlFyPFyluYau/b+5ndsKL75PLdXDvtzIK8W8iugrxf0 f4A9YnyOOUx4p9uP8GQB6jUN9cDzTQHnWYZ4cXscX0Rvd0opZhv+rT14qUce W4HvYZgvx3qeD1xeHOQvhr5Z0J8Be8T9Y8EcwueHwL8BwJcM1O8o1Mck5N9C nO9dxG8t7PN2/Jv56VgK24TvdMwvxnpN7B8OeRwfBkIf128Oe8T9rVoUz4Xw 7x78fQ7/FRGPN4jPEFE8vWDfSnzzfOD5yvfnQ95tyLeBvinQ/0QUT37+Nqsp H2SRH1+RLz+QP4+QT7x+ef2UIf8Gwp54xI/b/16Un52wPxvyGiD/E/S1oH/p rJbOT15PljOpvupRb8NRf/qox++oz8uieuf1VC6q91J822N+LtZzfGqEPA3I V4a+Vui3mCld7xyf2g4lvIoDfj4V4WcL8FNbhJ/tEJ8+OM/JyD9+vjx+4SL8 bIU8K8jfAn0J0L9xsDR+cryfC/6yWo76gYD+8An94iT6xx/I5/HIF/Wj4aJ+ xM/3G9ZzfN8EeT8g/yz0BYGfaCyT7ke8fwahv58fSv11IPjHXfT3DFF/V8V5 lSO/rqEe4lG/UfiuEfX3+dh/G/L875J8Z/T35tGkf2Qf6f7O+chFZ+InZ78T X0kJJ/7ikUr73V3I32nobxuQTz3Al1ajXgXgiwe+ZTHvhvVW2F+M+OlC/hfo swRfarCX5kuc3/lEEN+7O06af37uRf5t+nfhP+fRCfzxBfjn4/tUn7bgm07A v8P41kD9dkJ9NIC/zmxL5xs0mOTv/Ur6EsF/g65K80/Ol/0ziD8PvULzck7k j2Iniv9sJ8oXE/B5k3lUj8vWEn4EHiW8uwE+Pw7fP8H30+fQ+lHYP385yVPp RvKDHUnfLfB5DRGf/99yP1q9wjPu+DBhyjJ5o6ptc7pIXDHy39UWWDgcTRwi aA/r8NXVYLhwY46qcptefppzH90KP3FpoqRQ5W+Rz0hViaelxqmN5uem5jcH NR/1aC94ZQwfLjduosR9iPymIYpHtT7N1T7w49wyoUF5+LbUFjvhyZD0iaHT lmrXvA5YPrzTSsn42FfnppctFB7O2/vu+oEOOjKLUh26FPoLQRou7n20nYW0 HWMfuPU8qHNUv93s2Rq3hJ5f9hotHHtUcFesS3y1uV4n9OSid8M3Zgi5le5b +/QMFQYcv+q2tfskXW2lR5dyXPKFfUcGa6opRQiHzyc03VpkrrsGvzdW0Hr+ eyXkyDSRfC6nFXo7jCN7uF5dK7KT3SD7uZ0TS8mvIPjL/RpjTnHo/4Diw+Pw 9xvFLXMUxZPHLQtxtkb8eZxNcC6ROC9+LoGi8+Mjn+8POaOwf7Xa3kJrmckS T4wDwixCJo1QFUake+zWHi0j+JsdbWgMWyyMMgzUHfRjiRBV+rJ5TMEmSVpE 9ZzWkrWS1Gtn+0qyrgvyt96seXH/oGB2ROb5jqSngpq68+5rA9KE2Mo7ts9r moUrc8x3Tsx+KYS9n/bC93ZHxpQs9F8vrhJGPj41rI17L6a34/mmaN96oQ++ N2H+INa3YP8FyJugQfJHQ5/2bdIvd53ssYR9C9+SvUEzyH75OeRPr1zy7/AV 8jcK/h/AuBjxmSHKex7/KJzTLpwPyyN5HxG/yOMRV+yiFglqQTSuf/1lYkyJ l8TyvpalwsH1knWPslqaAm4Lczotf6l5OUpQufk2oiTuk2DcbDctbewb4fgl Q6Xeu/oyZj9+8+5N7diRLdNbtxRosjlq2m2H3BzMTvfscFixYjb7tOxMm7fC RHavddzfuAWW7HXNqbCszeosB9/PMB+G9eP5fshTh/wo6BsJ/XNgjyXs+wZ7 22eR/ZGl5I85/DOBv1GI56vHFI8MxEdRVRoneH5H3Kc66P2T8n8x8swTedc7 g/TJQV/YqfN+LfKxwjaMR6pzY39uaBQevF28yy2uWijr5drjmMt4Zt/tu1xD 22Esb1aHnan+Vqx940j11f9mssXPXW7lJ3gxN/npbHtbRzZpXRszz297mXV2 lwDZMk/Wa+fSDLkPR9mjYVaTFsd5/ffbBvPqWO+O/UshTwHyC6BvJfTL9iZ7 cmCfI+ydeJrs34RxxBvybxviaw3/tyNvPyE+P3KkcZXjR/gAwpnDwNlTVyj/ Y1GvEXJ0judxju3ekT2BsCfVdOaib3sms7sYi46tsIv+5cy0/7iu2nLGga3e 9l1ioXmI9ezYu+jrn51Mz1f797l9V9jqKeXaPepOswRNDcMO1nHsUfVUw2k7 rzAZ/3af+nukssaOp/R2h11j7fBdgHm+3gP7BcjrB/ne0DcD+j/AnjzY9xCj J+y/jPia5ZF/j5G3J1D/Pa5SPAyAv+6DpfsQx+eoi4TjNa8Iv/WTCFdCgHMq TVQfK1Af+3HOv5B3arC3DPbe+PRQMXHUMXYT44dq2w7nhseyG243a0bdjGYp zbE/c9rlsMVdMvtGTkxnQSc7npRf+ZRNe1+h9dwnl21smVI5xOAl6yx7Zd/q 6Y+ZN775/HGst8L+u5AXA/mfoS8W+uMwvoV9PL6tsH8N/FGEf/Xwdylw9cYd iofhG4pP2lXpvs3736KB1CffLaH++G0K4XV8AOH1azvCnUfAnVGon1zUjzzy wBN5cA3+fII/9285HFy+Jve/Y0ipx6ogSQmrTVjatYPGS1bTfu3tpv4VrEE7 tdUg9x2bFXzp97CDlez+qiszN/Qs/+93I+br+XrsD4W8B5Cfg7EO+nl8N8A+ nrdvYP9w+HMX/rUFzg5Ev8pAPMrAH+4PkuY5nF+U1RIPuWBA/KNyLvVBJ/TB wsmE55HA8w3ApUXApRWi+lokypMa+HsR/jps8NU5/7OC2WM89Wayfkv/Subn 26FTc2wl+zDb8VeZXhm7qHm5uLh3JfuI752Y5+v5fi6Px7MO+iTQz+3h9nnC Xo6rq+FPOPyrh7+O8P874hGL+HysleaFnL+tKyOed+wU8bsO/YhfLAa/CESf vIM+uRx4PxZ4nyvCLW3UH6/XWuQRzztxPBqjZi8+//41q8c4WbVm4lT3Avb6 dZtLahrPmSa+v2D+G8bT2L8b8qpFec3rX4A9d2BfPuzl/Yr3r1vwLx7+LoX/ yojHWcTnVJk0j+b8OPIQ8eg34M8V4G1twduiwT9ywT+eiPpoM/pBW/QDWeDa BuDaPdSnMerzPPKsAnlWgnhNQryWtQxe/nJpOrPD6IBRA/NvsV6ctyYiPPCB /q6w598Bso/b21fEC/LhXxb8bQf/qxCPJsQn4pD0vYOPYYivbj9a1wy++z2f 5PB8LIAeJxE/4efbHnEURP3iM/JjBvzk9VuJODQgv3gcJ4viqY5vHsdmrP8g qncxjnL93J5WxJHby+O4FP7kwb9U+PsX/ndBPg5FfHg+8vjxvHxcR/Wujby9 DzzYjrz+CLyIQd5vBJ5MQV1w/pGMuuF4dBJ1VQ28qkLdLQWeHUdd8rEO8eHx fYm8e49vXv8nsf6kCCdrIZ/jI8cVzgt4XbvBXl7XnvAnGv79gr9u8D8X8ViI +CTVSd9rOU5aKVL/qQCOntek/sRxtgD9+i5wWBv9bRnnv+h/BsDxSPRHjvMZ 6J/n0QeCMfJ4fob/W5FXM5FX51CvPI+3YZ6vt8P+C5B3UdS3k6A/FvZMg329 Ya8t7B8GfyLg3zP46wD/jyEeRYjPPEXpdwDet2uCiQ+9t6a+Lp9MfCkBvGcS +NQz8ALOH4vBG3TAx9aDV0SDr3Ee9xEjj2ci/PuMvAlE3tSgHjlfTAPOcZyt xvx/12M/5wVZkF8FfVx/POzxgn3c3nzYvx3+cF43CP5egf9nEA9rG4qP3znp dxPOI08OIn5+Fe9DH8OJv/cCD1UFv18InvoE/J/z8GzcD16D55Zg5Dx4FeyP EuUFr7c41Bvn2W2As5yH8+9por7LeTi/H3GeuA76uP5y2FOJMQH2NsL+6/Cn PfzTgL/c/xrEwxbvTD0GSb8z8XvN4Sy6LzrMo3tPNu7Xp9/QvWgs7tebcC/c gXt1GO5VwRhzYN8X2DcN516Ic1dEPS1BPXEepwacygP+8/7VhL4qj2/Or/h9 3BX7rSGvL+QXQZ8u9P8Vnbc77PXDuAH361m4F3bF/Xot7oWfjSgetYhPcLb0 uxy/Z08aSe8XnyvoHu4STe8bmvPonv72JL1/TMA93hPjPcSzAvF1wrl+jaZz dUW9JKBeegCHDgKHlgHf9wLfF6BvJqNvZoOP8PefJZg/h/WrsD8Y8vpA/h3o c4L+7sizPbCvCPbmwX45+JOLcQrefV7incL8IcVjN95/d4veMfm7z8eh9J52 Ipfeheom03tb+UV6N2oTQqPmCZL/Gu91ing3U0TeXumM+z3qYSHerfRxv5qD +9ZD4PdKvHvloi/+A99QA2+rB4/TwPc3zF/F+unYfx3ypkK+IfQtgv71sGcc 7DOHvR9h/zn44wn/gi6Tv/vwbjgL749D8W7WW/Tuy98hF+CdtwveKX9b0Pga 8bRCfCuT6FwKP9O5HJxO+d4D+X7pGuHIoLeEI3kxhM8n8f7+VY363jq8f9eY EZ9oOEF8IluReNo1ReJp0duJ//LvFsx74139AN5xMyDvGN6Jj0LfTLwj38X7 wiTY1xv2jgZ+yTaQP0Up5J8F4uWG+E1CXAZh9BG9k4vfx61E82VDpeM+UEU6 nwemS+NEyRBp/L18W7qvDfk/1Ln5O9Vf1D6ukiaVIQ2aB4UMURrIa6N5TqVB UhnSYC4pTaQkohkNCmkgQiFDzjE0p0kplVJSiRCRkvg+V+ve7+s65/t5/oDn p33ts/de615rr3Wv9dpnvGS/UNUg2YepfJbsb2sOS343GH+S/B6zkfr/Y6ee 5PvB8yTJd5mpgyTfu2xyJd8RT0j9jyP9f4/r//K/QoHa+Pu/xgQlK/YP6RTd +DHFJknpW2KF0vVb49y9vJ73SVN591Lb9VBT2lLFI/0UwlLSbyq41o7Qn5MR kuRc2DQpJ8OsfUH8pOtKmSOy5o1smj8ps9vKmNNXNy/8b87X+X5+nsvj8rk+ rp/jkcanmdwusPuYGuNRxsLnqPRewvnhwz9vvjBONMP5RMcutTOFZ9URnW9l mIo2ixd3nzjQQ3gb0iF3c0mCsLVl3eda5wdCw4X4sw+9Xgvvncd7t855L9y4 RPNff2ld/yDtN3lH5+ddJHmd7Ul+nhbpe8JIvyiG8Ej776sprS/Zsq3d7osm IvO2sokLu88X4ua/G7Kts4LI7GbfkBiNs8KpKc9Gp6k9EwqC5eNdN/4ULtcP tnoa0Z1FHfjaxjW/HxvZY+Zdp32D2YpAmiv+pPVK7DeYTOefppK8J2fe/JMf 3Ib0BXiQ/mkmhEf6fkOHkj2d/7T7t1/m2uX232+tEXK2PPh6pVOk0EbLaEG5 6XuhxF1Fpl0/ZXbcvOnyC2Es0z+z1DVQZS57azLjxB9DSzbXRKQ0fdlK9gnz 3Vgfjv2XN9L5YMgbuJXkq54hfTLAW69NeKTjr2kL+X96C/mv7U46f9DFafn3 haWCnI7oUa7xMPb0yfEpKWJzdqVm/KNRL13Yqt1y1+Ys8mEnv78517tpP2sj nB2luzqIBWO+A+uHsP87zo/RJnlG7iS/xIP0pca++qf/ylLC8//LjwKKl1oR 3Ycq7L0CecsFh7H7hlqywXp3Cu2u7mS3zp4z3qVwlF14urFLnWY4c4/dMufs 8gi2dInm98QNEcwX8wqsn8T+hTi/FfISId9tJOnzziL9t74QHun8bZFb8i++ jU0pfgZsovtJgf1LIf+DxaX3XdeGMg3Z17ZBphEsRzXsb3LqIZbaS2ttwOrd 4mFb3bwUNx0Ta/Wh+dq+tL4I+5NwXhnyaiDfDPFQj/hvvkP5Js0v5chfRcS7 E+LpKO4rD/6wgb5p156fXZylx1wqq0etvRAvrj996cHM8yni6HlzFNtqpoot wmn+q4LWdyTSfnOcj4W8FMhXg751B0n/giDCI81/uX+IP2YgP/UQ/96Ir2x+ v/CPFfBNn2G27JZ9injjnLhX8oMixceaT+2137xJnId59XRa/4z92fB/IOT5 QP4G6BOgvx58J83PkeA/H/BJOPLVB/mwAfFW25Puswj+i5pLeOKOvpjgt+IK 6z31U/Ti9iksGXMd4PWDf9URHwchLxLyL0BfMvS3u0h4pOuHvCvxc4Ey8d82 8MtHY8pfT+TH/S0Uf36438Vyp//5ryvwGdqoaWqJUlkbzKtayb88HiYgfkdA 3h/I14I+V/DvLyfCI13fZscSfn/Y08eU7LsAe7n993uTP1rgT1f4Sxv+a5xC +MqO0Lw9/D0E/gxVofObIO8Q5J+GP1uhX+GCpD/5/Tu1UjxMbqD48EG87Eb8 fEc8fUB8PUG8uSE+a4FXDf67jflErAdh/zacz4U8D8i/AH2W0H+jzXqJ+OT5 lIX6Ow35Nhr5x/PxCPJzJvJV8zjlbzj0r4e/duB+e2NugfUOsbR/Ls5fhby7 kL8P+uzAN60hkvnO+ckhm/jqBPirHvXxB/hNC3z3FPw3Hvpy4R8dVbpPD8Rv EOLjB9b/tqP9P3BeCfI+Q/4r6Bs3lfRb50jyJ+d78yri/+Bsqgc1qA/xqBdz UD8MID8S/hDj/vwQb6bIDwfMy7F+E/t34Lwx5FVAfiv0CdDf86tkPeL18487 1dMbD97+q69/vKjeHnWl+psJeQ9hvwj3ZY34WoJ8eIP83Yj5Oqyfxf40nBdD nifkx3qSvl9bi//p13GQrO+8HzmlT/2JbkfqV26dov7Fdzudt4K9K1HfdiGe HiL+eX+0EvzyDvMkrFdi/yOc34b+IQf90rRU0pf0l/o1+RGS/RLv77ymU79n 5kX939j2hLcuk/w7Nofuoy/6R1/Euzb6z7gA4pMG8O8B8Is71q8H0f436B+8 0O8MiyD5Ic2Eb4En6R9jKtl/8n7Z+hj1z/tn0nqdHtkzHP3e/VaKl65FFN+L kI86ssQfv8C/Di7Ez71jaN65La0/PUv79/yg86/ySF69I8lXGkb6QgTS/y5R sp//v/J9NPqnoLl4iJCy2dan1kKpr7AcI/+9XZ35jx5yXUSNf96XbjmhIBr1 ysP0naJP6pSDqW7nY41ELtsqjvVSNhOdeSp+xOafun53Vz1rqbIRFHc/fbPc xEZYMiX9dGvPQ2mdXQtj5IZ6irwXl/TU3bpSdDVj4JY1xivS97w/oHR/sbeg 1DjgqWeku8gnR/Pjzv3tM8Z1XR0ZqhQnTO9ZMVd2SqDwKG2L9xjFwIw5YQb3 p4zLERTOmypPXnJRiBev8zy1rTojR8VM/5v2M+GQaYHZq4Rk4d7khgirbqMy ZXuKBtSxt4L3sNkfRBVpwoRuwUcPLZ6fuUWJfj85jfbz3zMgxz6C5HM58SdJ 70N5wsP1xnQinH++EH6OM+o12TVrEtnL7ertQn446k3+4X5I8Ca/lW0nf3K/ rTxEft4H/3M/i6voXjrhvvi9tNhI3h8f+frMJpJzrpbOh5gf/et6ylCkN59G j4gOS9or2wmKF8pvn31nIxxutKuId/cWyWq+bPM9yVPEckIvJp05LUSX7LQV f/ERKjd96J2Sli0cWn1mR4NZqpCipnDZQ+aTcDtj+EAti2fC+I12rPaILBt8 pc+QCT8qhDLZg8/fpPRkwvnfT+0MfgsnzftNzN0wiHVK9F9dWNYivMR8QTSt P8D+RJz/4U7yjG6Q/HjoK7Im/bmbCU9AEeHLEBHeLyMI/0zYs/Ai2Sc6S/am wf4h8Ecu/DtJKu65//286J40cD9u50meKfzXsNYrolFpp2jIBhrb7u1/5LJz hHCj/MSSmHanhL26Yeadu9wSWu/LODwuzxUWFJ+yvafchs2Z8cSgNLRW6Gh+ /l6fKxrsa+drdlNn92QDzWy3CSqT2dp1IxY9MdJl77c6Do+JWsR8i3KXut8w Yh3WzjUstF7B/EyeqQYnm7DbDjSvxXo59nfC+XWQ9xbyb8wnfX+gfzDwrHpI +MYCr+8nwu/tR/bcgn2hGGPgz2Xw7xX4p88OSZ7g8a3tS3kQAN7Q16J7uvKT 7mlNBembD/+NMjiuMNzjpnBsLI0X7b7lzCvuyppmXbhkOLgDsw2bPflEoQnb NsJ++myDscxJHKUgb2DDdoUN1GuzwoLZ/jgQPG71FiZq+2H0Fu91bKDSrnZ3 GvaySWKzfPesTezt9NM1plEH2I8+z43GGG1hrZjrYN0U+yNx3h7y4iF/NfRN hv5E4DkAfA9tCW8t8GuOp9Ef/nxUSvYOQJwuUyN/5IIf2u6S5FXOH9rmxDNZ bsQvGu8o/tfkUvyLHtA9GurQPZYDzyH471HEoNphqyezVIwhtYErHAuc2byL lfN7jl7P5Guenn5gvJ+dqSnv+nKhLzt3sWbcodNhrEIpvE3xmCPsT2OgzsTK syw2Xq8++lQYU9dwMHt0NIJtM6y5Fyk6yRQxT8H6b+z/jvOJkMflt4E+C+gP Bp4W4HuGsRr+7Dib7KlFnFbA3ic3yP5g+OO3E/knylyyDnF+XlVAPH6shPg7 z5J4ZaIH8UruTMoPR+THINzzHtzzHOC9DLzfJlifKRcdYAqGNMYt9bEYP+kM Sxv+Uq+302lm/vabz4d5p1mO5ZDhiwdGsOse9q8naziyWIsJahZ2YexVZd9d SR2OiP26qffb1vMoq8f8IdZDsD8f5y0g7xPkx0LfX+DoDBxbgG8u8O4H/p2w ZxbsY+ADffDqcvD84bfknzcNknWb178+qlQnY9pRfQxFPZg1gvhauQvxjht4 xx/544v8CUUcdEccfIQ9RbDnolb58Q2uYewGxrY1ukebG8LFL+aXO8VPOSxW nbVx2rnka+Ki929FYR3jxCn2mlnbZ/3Pd37vAFO7gUnie5g/xHpf7B9iTuc3 VJO8csh/gjEG+kuApxPwnQPeVcCfAHs6gcfPgGfNUK9yUL+i5ck/VXKSfQ7v L76fpj5kLvqPoASqg5Wog2/XEp/PB5/fAC85gZfeIr/ykF9PECczESc74a8v sPdIx9mGGqkp4u0Y7138+zOwOUG8e//314teXROXq7VZf+bLPrFOVoFTz9QE ccBwmk/Ceir2n8N5T4wiyDeHf/WhvwR4goGP88EG4E+EPY6wrxH2dkJfcRJ9 weBT5J+2kZJ9Ie/fTCZTn+fTk/q7/ug/BPQX11EnP6FOMvD9cPB9CHhr4i/i rQDkX+gmyj+ZDxRHBoijffDHN/ijZ99xQvs5x1ksRsWZFabXqq+x7BzFPs1/ YlkXzMuwfhzjU5w/D3lakN8H+k5D/2PgaQWvngBeBvxTYM9r2Pcc9ubB/n7w x230v46TJfto3h9P0qA+Oh/9898r1Lelom87iP4jD/1HMepoI+poIOpBf9SD OPCaHXjNGfl5FfkZgzjTG0Zxtgj+qphB/iqafcwo7UwqK8AoxigPf+7D/iic vw55XpDvBn1a30j/IeAxAD4r4P0E/CqqZM9j2OcAe6Nh/wv0sZ16kH8UB0t+ d/Bx0AzybyL8mH2O/F8HOQ9wPxXQMwL313kG4bgoVWflF9P9j4QdnPd8YGc8 4kcT+bsO8fUNfqzFyP34G/P28GMM9msg350hbzPkf4c+Xp+uIx5HA99R4H0A P86HPbWwLx32OsH+HYjH7Srkn2Azye80HpfG0ZTvOojbjuAD7fYU19PR71Yi 7jPBJwuQF03gmzrkzQvw0XpXyqsU8KMR8m4P+CwQebnsEo01quQfXfjnFOLu M+b7eP7jnDnOWUHeIMjPgD61jaS/EHjkfkn2S6OAPxn2vIB9s2HvR+S1Qzz5 YwX88+KC1HcteLKlC9UfQ9SZGahP1agz0ahfNuDhFNQ3B/A0r9ex4PEvvD6C 56NQP9/xOoB6vQX2r4H95oirj4irDcjXaJ6vWOf1Oh3noyH3FsZL0GcC/c+B JwT4TgPvLuA/DXvmwr5m2JuMOtOK/mUT3h8i+kq+A/C6fRL90GjU9Qb0S6NR 96ein2pF3xOGfmsx+gYj9GMd0Vd0Qr8Wir7jGsZC2KcC+94gbsIQN9+Qj/3A BxPAc6XIT1XUj8eoH6tQl5dAXjHk50FfMEZt4BkBfFrAaw/8UbBHC33P7+lk b0/YP8KG/DEE7zsLf0m+m/A+cq8F9edx76jPNEf/boE+PA/9/Xj0qYX4ntmN PvYhvg+i0efysRZ9cEs14X+NuDiFuLiPfLsHPqgFj/UBj7mhPgzF/AXWq7E/ F+dPQN4LyG8Lf32C/gzgScCYAbyewF8NewbCvsewtxL2K+D9xQf+KVgk+c7E v2sW4x3uJt7fGjXoe/JqNn0XZX2h701VfDel4rt0Hr4L9TDmAZ8b8PHvwq24 90PIp3XIpz/gKf69nAz+59/XTqir7zGPwvo47G/B+a2QFwv53tDnDP07gec+ 8FkDrw1G53Fkz2/Y5/KZ7O0pJvtD1Mkf9niX6+sj+S7Hv7PP7qT3i3U+9B3e 4xK9b2j/ou/03470/rEG3/HHMCrBnwH47u6E71T+fWWDfCkEHxwBDy0HDwWC 38+B34ejbt5H3fyC/uod5rpYf4L9YTg/FfK2Q/5V6JsL/UOBJx1xVw1/3QP+ qD1kz0E+riN7s/BOMwDvheV4x7m5TfIdk7/7yDTQe5ruUXoXWryI3tuUI+nd aCjGFrwnPcQ7yES8m31G3AYhH+7j/fEzeFUYTjzD+dsI/B2BurgZfYHyK+o3 rqPfCEAfl4J5MfqRXtgfiPOnIW8jvl+N8T2bjncBX+TnN+A7Cbx/kGfH4a9G vA92wnuhMkYzvD+OxrtZpybJd1/+Dlm7it55Sz7RO+XhMhpF8GcD/FuOd7gw xK3lSIr3BrwThbwnHrHEO/yalcTPHfCu/R11z+8E1T21OOonbipRP7EdfWsu +tjkBOp/c5RpboF33PAetL8K5zujjmqkk/w0OdK32or0y+B94dIbwheA/IwB fzkizjzx7nof/0fk4R33Tg35ww2jvNQ7ufT7uNVqyfWPDZJ+r9khGc+fdkvy xJAlkvy7oEKyrvXuI9kvPI+X7MP0Zkv2t7tHSH436E6T/B7bHCv5nbtJXfL9 YNUbyXeZs7Ml37safSTfEQdJ/Y8zo0ny3bv0f/lfQdlY7e/A/H1jdMYv8/w4 +b3B6K1Tx/o86zZu7/yRF8VdVMaPvhs+8VN0w3jXy4dLdMKSJhgMsbj4/N40 w5sdTG/GDrlhqLB8g9+1Xd2MJrv7lOt6/U+6Fk7OvXh93n9zvs738/NcHpf/ nz7o53ik8U0//XOY9dofWYsDtvZVmd1qrH16a82YJa3GriYjh663Lcz6oKxy wd9toSBzdZljwktvYc/Y2Mg/HheEm0Eb6hP75gkr66afWOL5TChaumbU5P1F gjXmrw7QevIY2h94jc77K5G8CAetf/I3bSd9lQdJv0M44ZH2nx3wKXxOnqcn 99FYpYYNK1ynJ5oZ26TZnDpVGJuzct45zf3Cd9GJ/Mfz8gT1emGok3qVkJD9 uTXFuwNbnCPjNu7l//DTdoV5wy37sVmY12D9AvafwXnHXJIXdJ3k7ywnfVey SL/3IcIjfb/CQbKnuJL2LzsdN2HPzyVCjfO1oTfHhAh2Mb0W9vIqEHaf+W40 NqwjK0qIzffaMIr1G2Xuq9U6nS2eZaUwMmEJK462Vk/XXsGWYq6I9cfYn4fz 5pC3wonks1DS1/8L6S9zJTzS8afgRPdbHUf29QO+zqm5500Unwsdlbbf2HSj J5PNerFkJZvBdjbu6J/R04kpX+l6Z0mJL5t0arn+9cDD7OD9Na2fehxn0zBX xXoA9vfFeXnIuwX55x1J3+wM0p/oTPEgnR83EC8TcR97YK8S5A2cNOmRed4C 9q7fHJO6xF3s2Zn4UQlF4WynvXqDy+Ykpju4aG/980z2O+pCqc3AbKaDuQ/W +f7fOD8I8jpAvhf0jUN8xSMfpPN3GOKbx88Z3I8S7K+G/FlWt5YZapxn08p0 x5gaZLOpW5Jbd2Q+ZlrHf7TtaPSCVelrrC4PLGI6mJthfSb2L8D5OsjrAfm7 oM9LTPrnJBIeaX65OZry8QPiPQfxdBT3xf0xFfreZe2vlu/ynF3xaaw2vljC FmvLD1h8sJTNbvNUdl33j2wp5klYL8P+2Tj/GvJCIf8O9A1vIP1tgEea/1oD iT/G5lB+tuhS/A9CfO3C/ZnCP/Fc/8zHd6bM/MgUXjwXvVn+gZk7ZynGrClh Sph/wnoi9k/G+R2Qx+O3CfrmQH9X8Jk0PwfWEt95gU9MkK8zkQ9aiDc13KcF /KUIPAoLTjyP2lzItncqNs4Y9oipYM7x8v08PrQhj+ebGfSdgX4b4JGuH8vB z8vBf/ngl2PI37/Ij0rEH7/fufDfVuBbGKE/RPV/9nnzOdbnYz+P3ybIOwD5 N6EvEPpzlxAe6fpWCPzOsGcq7JsNew1gvzr8MR/+4ffdHf7zAj5lzLtjfZmU P0dC3lTInwx9QdDvLOVPfv+GiAc9xEcn8LMa4ofzC89fnj9vEX9dgWcW/Mfx 8/jl+WQmFZ99IL8N9GlBv4VUfPJ80ten/NqFfEtG/l1GPhYgPzkfFSN/Y6F/ Efw1C/drjnkc1j9gP+enR5B3DPLToE8b+vtI5Tvnp6Y44qv52cRfk8FnI8Fv leC7meC/KdDH838E7vMr4k8D80lYnyrFnzWQ1wXyraEvEPzZToo/Od8/UiD+ t0Y9Wob6wOvlCNSPr5D/EP7wlapHPD84P/B69QL7f+C8KuTx+hkCfd6oRwOU JOsRr5+DTKm+342n+pqO+j4B9bdKkeTJwP79uK+uiC8B+eCP/DXBXAXrh7D/ zw063w745kC+EvqRzgmkP3vjSIn6zvuR3P3Un6z9Rv1K+AnqXwqAtxH2XsD9 lCKeNBD/y5Gv1eAXO8wHY/0d9ufgfD7k+QGf2lnSZ41+rWeAVL+E/u5kEPV7 j95Q/1f5lfafvUj2LRPRfdij/g9BffVHf6kIPlEA/2lgfh3rbtjfF+eviUle zRWSv6CK9I2/S/q9giX7T94v70D//PIArR/zJXueTND853/t3hQvX9CvPEI/ vyqY+EPpB/Gd3zLi52r087no93MNaP+VZHwP9EL87aL7XRdM+kYBXxupfv7/ yveR0y2XFL+g8QarRqnWfOjWnLUBI//9vt/sZA09VeG8onuHxy/6C0vtm6+2 ebptbHXi99Zu3/VEUTc6+avl6IqM9t8dqmMaMs7352hbb2tDQe7aq98ba4YK +p+/2uuPDxgfd+vYuEuXZgofbZZOv2G3RLjYJapjS8GSCSFjWg7NdTcRHalY vjSyeI5wbZrj8vkH2hj2dVzWv9ThpLC+/6CEbuFewqqzPZSfdPUzbFtUIbPm dbqwbn/ayHZPTgmz6nMnTnpRbqgW/DO819CHwhAHiwfeE+ME875d3QdqahpF aHWPNWsuFJr7tbOOupgkfI4Ltbh7dqbRYvy+C/v5716Qc20vyedyhr4ivZN7 Eh6uV2cD4UyqJ/wc51V9sssc9nK7Xt4mP9RfIf9wPxT8Ir/Ji8mf3G+Hk8jP y5XI/9zP6/bRvYzXo/vi99JXT/L++MjX1+Ae03CvgvmBDL8kfdEcjBMNdnnN fmYqfL5z7ULWlAnCsGQfy23pasL2g5cSLOeaCpdXxn1/d2yScDaq75ADmxaJ HPveuC+KTRG8Xom2pOZFCukmyo21794JU2YvtZy06J5wfnvzlfyefwXXx7fl 7Ud+FLq3nXdm4GxF9jpu9WBfhzrB6eRd2asTVNn5a5ONZj//KXhi/hzrf9rQ /gc4vxDyes0h+W1NSV9H6PcEnjtnCZ/tcsL78ijhN7lE9mx7QPZtH0v21sL+ Nxh3w7+TlSTjnvv/SBbd0y/kwb57JG8X/BfS1VNf/GSEsFaFxjq/H/1sj9sJ p6c99pq2Z4Xgc7m3qf8vsaCU8jBjhHGa4JrwtXrb33ph6c72zcqq5ULBdmvd q5sHs4wJe9Vun+rGej0qu6DUy4Rd7CTX5/yCEUzLP3efg8YCdtOvRs9KbSwz mBR1dPJvS7aHLTDxnW3ExmB+B+v62L8f54dDXgTkP4O+M9B/BHi6AV8d8CoI hD/Yn+xZ347se9+0+d/I/Tkxn/wRiviNE0vyBI9vuWTKA71Giv9DiLOyBLqn sVNJ3+69pO/7/kdqBu9FwjWMg636NV3SkmEKspPevXv3W9hff99gzvmxrHbK 8fG+qVrsRuOW5vYpK5nZseN29R/ms/cW8kKPlq3M/OX4ja9jHJjGfJvm1NBA 5ltg5TLVzoMZHHixovT9UfZxm/38EfVb2TjM+foo7F+A8x8hbx7k34K+Gui/ ADw9gU8FeFcEEP49GHvAn5cmkr3ZUWS/DeLW6jf5RylRklc5f9StIp7xuEn8 sjmc4j/PnuK/He7xMe6xP/AMAx7PBFbUpGrEHDHuMFw8dLjYkRVXFM52tnVg 5kvqVDLFh5jSpWS1WOV9LM9DOVNO9hLLMXBX2HL5NPM/ap/3+1sqs9B9eCG5 5SJLiNj9wqKLmPm7aj0YuyiOJWG+GOt8/y2cvwV5fSDfAvqqof8o8OwBPj6q Av+fdmSPVhzZtxT2fltK9p8HX7mBfyuk6hDn5wnVxOPzRxF/bwGv2INXFiM/ 9iA/WnHP4bjnV8B7AHi3Lv5Y1kXtGNuF8WfSp7aa0ddY4GiXy93yEtnqtYoN 3RPvsLgB1VpujTls7c3VpTUuz1jT8p/OFl0esOYgb6MC2SI28mLIhoirj/6b N2Od7+fnV0FeEOQ3QZ8P9Pth9Ae+SuCNBH7ZqWSPM+wbD3szYP/W1+SP8PHk H7+XknWb178yRaqTgaiPAeDrO6gP1uCdN+AdC+RPDvJHEXGwAHEQAHt+wR47 0Y3F49o++G90m3Zk+pQVr1n/5uPnvvx+yYZm3Gw1PPuBjVzYK/lQ7xKWx5Ku eLWWskyHsTXHz79ntzDXxvoI7B+I8xshbx3kr8f4F/qDgWcJ8PUD3sfAvxj2 VMA+N9gbAvtr4Y8v6HMqu0n2Oby/6LGb+pAz6D/0nlAdHIc6aAU+1wGfW4GX SsBLWciv28ivWKk46Qt7XWFv4eADA867lrLnGL93njkhPKWUvZvu96L32I/M 9PzNgaEj3rOk00djFyaUskmYl2Kd73+B80UYPSB/APTZQn888NwEvtvAWyHF 09qwby3snQH7p8EfcfBPkY9kX8j7tzl21OepHaT+Tjue+osS9BenUScNUScP gu+Hc76X4q2fyD975N8IxNEQxNEH+KMG/nALZe8uDS7+b2yY0me1UtITdibx mLPHqxfsJ+YeWN+MkfuTyxsG+Txu10P/H+DZC3xLgVcX+PfBHiPYFw97y2G/ BfzhAP8E20r20bw/lkEfnYH++SX6tkXo2yzQf0xA/1GOOjoWdTQI9SAR9WAE eO03eC0N+ZmL/LyKOONxdxr+qoe/ypLaqX+Izftv/ISR+zMC+81wPhnybkJ+ BvRJ8yzHtx94xwP/J9hjAvtsYO882K+WTP6og3/eqUp+d/Bxtj35Nxr7usP/ SyHnLO5nIvQE4v44jmW432Tg/CNVL9QQH9mw8y3ixwR+4HHI/dgg5U/uv0aM 7thvJpXvtyFfB/q4fo7nilTd5/2UP+zhfkyEvWawfwb8oaBN/rlhK/mdxuPy FvixAt9tmuCDH4hrzhfjEfcrwSejkRc3pfqXy1J1uB/4ajDyrgB89g15yUcn +IfBP6cQdzxuN2K9FvuleVJNqv5w/ZwfeV6LgZf3oRawh9vnAXtrYP9A+KMZ /hnvK/ldy3mygzzVnxzw6OK5VJ+MwLOjUb/GgYdtUN++gKeVUf/ugcd5f8N5 3h710wV1wAkj9+cg2M/rDM//BORrjlQcc57l9YrXL3eMG6BPuh/ifasK8H4C /kWwRxP2rYC9k2F/Her1Qfhnu4LkOwCv22lZ1A/5O1Nd71BM/dJQ1P0HO6if akRfMBT91h30De/Qj/H+l/eNv9F38P6R+9Naqo47IG6GIx85r14HzzVhzuuV g1Sc20DeWsjnevnI+0eO7wPw5gF/G9jzAfYpo3/cAfsvoX/8hr7Ho1Dy3YT3 kar4nlHXoz7T4zT17/z7/mUy9fd7+XcqvmfOoI/dhu+DAPS5+zDuBv55wH8A ccH7oytS+fZbisc0UB+uYt4kVXd5H87jjMfdIujzhv4g4DmE0QN4TwL/D3zP LId9A/E9Ew77B+J9ox3ezzqslnxn4t81C67S96II729XD9H35BS84+yaTN+b qfgubMB39Uh8Vw3BuAP4woDvI+79Ju69B/KpFPl0BzylzXkK/M+/r3ldHYP5 QqzrYH82zvPva56v96CvFPqPAw//fh0IvEMxOuL72hDfhdGmZG8vvAv9xnuD LPwTcE3yXY5/Zy/Ee89lvG8636X3jW/X6Tu9Xy96BzHBO4+AsRb+/Ar/PsO9 zsG9fsf3I/8OmgEe6gceMgW/DwG/b0fd1EbdfId+hL//8HcKXeyfg/MjII+/ U7yAvkroXwU8pcBnAH8Zw39+vmRP7m4abyuQvfKJZH8T3r/i8I6jJJJ8x+Tv PqPxnqaNdyEfvLfNxbuZNcbh3Ul+BuQPmkn3FmJL9/Ye+XAL+RAJnqkDzzwE f/P3xyuoi0Pw/liIfiMA/UYI+rhgzAuw3gf7z+K8J+SlQP5QvD+KoD+NfycD Xz/kWbcphN/rKtmzFO+C5bC3F97NYuGP2fCPstS7L3+HTME7rxXeKZdh9MJ5 Pf7uhnvJx72EH6B4L8ijeM+MJR4JNiYeiS8iftbDd/sYvOOq4d1dA++wXkHU TwTgnXYQ+thV+B7QxjwC68XY74bzdyEvGvJF60mfDfRvNiI8By8Rvkzk51/k axvY44c8NIW94bBfH/7oj7FllOQ7ufT7+Aapd/SfipJ+z82SjOff1yV5Qt5e kn//NkvWtb0DJfuFa4GSfZjuesn+dvoAye8Gz3WS32PWUv9/PFGVfD/Y2ir5 LrPBTvK9SzVZ8h3RN0vyfVZP6t27///yv8LfiS3yOx7sS36gck9p0+T3KS/d 6tWuFHS7Ht7zcZBuF5W0goa4zubRDWlDB5Q5pIYmpYcEf7ytd29axs3DFoMq Bt/ImOBbdq10Z7fMx0FVNku3skx9vWehj1Ln/Tfn63w/P8/lcflcH9fP8Ujj O9I02DLeUlaYqGrg7tKuKsv/3oYds7r1FlmPHbFArttYoWiUtcJK2zHCoee3 XMfOOyxEbniW0tkrU9hn+6ikOfK5ULb9kYv6u1LBd9OFHyWln4W0HTQfs5rW j2H/j7d0vuj3in/yRNNIvkwp6ZtfNuaf/vW/CI+0/9SNCF/8Ue9NiuYaogeW fpNffzUR/ry7Z3DfwFkIM2tZNnhovHA3ZfXC1/ZvhU1low4eZTKseX/A8cOf VVhsVIt5vcNQNi7eUnxv3QiWhHnHAFp/gf1br9J5t2kk7+cDkj9hI+lzvkz6 vSsJr/T9HnhE9nxZS/t7JBt1X6ThJcx1yzGyenFFaIzOb7B8XCXM94gqq7Hs zyYpzvGTnScwg03d+pztspAdf3hliufXlSzv7vAixec27DLmMli3xv6/OD/y PMk7607yr8STvnebSH/yJ8IjHX+xI8j/9sVkX4YTnZ+jv6L3mTk/BB17fatZ 73XYF42Oi50jFrO0t8cDmqe4M98eOW31Lu9mJz2Pn6roEMjW5E3Vsp4YzAIw D8f6HezPxPmHkHdGj+SHe5C+Hbmkv5sl4ZHOj979V/6LlzfGdB/bLpK9zXYk L6zHtscLdFaxJ7pJLc/ivNmJbnHtn3c9ynr7a/ctCD3FZmitmzrzYzg7blza YnQ6nFliXriP1rOwvxznwyFvCPBWw796k0j/aVfKB+n8/VmK/Eik+Jmwme5n P+xvO4rkx3w/tPFyUQjzju7VqDwnnN14/NTTzTCA9V1gp6kWtlfseWtdo1bt MfFDzKdivQ/25+P8H+B9Bvl7EA8rk0l/zUvCI80vxs6Uj/sR70cRT0m4rzj4 49E50ndz4DCnu11Xi4d6mt1YEHlZPMveqyj23jVxz6mC/GWWLG6LuQHWK4bS /gHAGw95uZDvCX1noL/IifBI85+iHfFHMvLXCPF/FPH1Gvc3Bv6Rg37FbWlq 1meviWf1iJMbXx4hHtLXrMvJqzvFxph3wPprD9r/AecVES8XIJ/rmwV+WGVD eKT5udNO4rsw8Ml55Ksf8sEG8Sa7iO7zFvw1GXiqtq+MuPcull1wFys9ib3G ojGvwHqrHe1Xt6Dz/SEvHPL3QJ/6OdIfBT6Wrh+fwc8y4L+n4Bdb5O8p5Me2 2xR/uVPofmt6kP/SgG/pueAzsk9TWSLmH3rS+hHEQ3+cT4M8R8hPg7710H9o I+GRrm8LUD/s4U8H2LcZ9nrD/kj44y78qQ1/9dxB/isHvh/w52JlWjfl8Yv7 YJB3EPJ3QN9H6DfbIelPfv+JqG8LEB+dES8HET8vEZ+pjyi+ajZTvN3yoviL AJ53yuS/DsCfhHUez+aITyXE5xHIHwF9o6G/h1R88nz64Ej5lYt8c0D+PUM+ piM/VyFfvUdQ/kYA7zb4axnudy7m4Vi/3J/2y+I854/DkO8FfaUfSX+xi2S+ c37KBl+pgL9mg88eg9+qwHePwX/toO/EE/KPPu5T9g7F3yjw5wL47wr2++K8 HPj4GOT/BF9fSiD9dyol+fO/elRI/cvJ6VQPFFEfXFAvjqB+1AHvVfijH+6P 159Q5Ec05gWIF34fIpyPh7xK1LsH0PfYhPQP85WsR7x+Wk2kerrxCdXXr65U b+ejvncH3ljYH4/7Oo/4Oop82I38vYj5KaznY38Azl+BvCzU956epK/7LdKf aCtZ33k/8vwn9Sfbd1K/8jKG+pd5G+l8Pux9i3hYjXiSRfyHIl9fgl+eYa6K 9f7Yn4jztyBPFf1OagLpu2pP+mWKJfsl3t/deEX93t8r1P/VedB+t6dk3yr0 nzvRPy5FvtkhP3+BT3TBf/cxX4T1Jux3vkbnb00meXmvSP7lbaRPPpb0r82W 7D95v3y9gfrn/Fxat/tB9rybQv6X96J4sX5H8R2E+pu3ivhDCXzXx4P4+SDm h8F3AWtpv98bOl88juR9H0ny/b+TvqWNpP/ST8l+/v/K99GwXyon3h0YnzIx Xtk+YccgwRgj//2504fceWkaoo41oSUbZ+mIAu7oCpOebEuNXpj8+IJDP8Fk 1PrMt8lPjCtKbucdNwm5Pim3YEE/TXNhbIhXhMMfC+G8pd77neMC0qrdh221 3Osi6nh/Td6irfaisDKPr5YFS9LfTZeze297SDhg4fSlSmaGkDGknUFRYJsM 3XZ6n5qVrgq9q96e0ex2QohQvas0oatfxqe9P3t6iu4JzTu2X9L8kijYzLPT OVFYnnGjMtJCKbBYMJ46OOm4Q5ZgdypptqOGZmbfuHaVq4w+Cd4d77Q3jc0R FIIiOyudnZm54zL9XoX9/PfwbySnzTaSz+U83Ud6bSoID9fbR4Zwyv4g/Bzn mFlkl+xjspfb1dmT/FAWRv7hfjC8RX7L1l/3z5/cb97Tyc9rqsj/3M8JjnQv fXBf/F46S90fH/l6j+8k5ynuVX9A309ZTkMFa1Uau7qJe7udnyNUTAywXdU0 T1j3rOuR4GBX0aqel7tMjHASDVe4u8esPkoYWTo3OrL5mFA6eU+XisK7Qolt 6vykFyLBf3/G5rFKtcLoky27tqi8FSxazBTXrujKXFTvfB1T90N4esNZpV32 ACY20Lmb3LEtOxjN1BWK1dgEg8PLvr1pzyowX431o9hv2pfOW/4leZshXxxA +mJWkv5JkwjP+DLCt0WJ8O5TJfyJRWTPgslk3+5tZK9VD7J/FcY78O/qKsm4 5/43qad7Ul9G99ONkby57pD37aBHr1mOIrUvNBbK1G1IEqKFVeav9jYqRAnd lPdFHhhSKHhrv746d+Bj4XKxwVtLGXl24762ulHUXyE5Py6o5Zwey9s9sWDB +EFsvpauS+DLGcx6Peti2seAfVt98vSZwGXMb4Y48MBAM9Z9unXL7Ier2dLM vLFKp6ewv9NofhTrtdhvhvM7Ie885O+Evqn5pL8FeHpoET4l4G1ZQPiFtmTP jVqyrxrjavjzPfwbhvjNrl8rwRM8voOPUR6sBW+4KtM95RfSPU2Ev1zgv7dy kypLw14IAzAOf6aSVjKhN8sPmNcr1kKZvTK49yK591TW/8pB0/nGAuu2fa+L brw9a3tnVPBDW0uWf+73oKddt7ENrqvqPBKdWLh7//jGcfuYU7n6iCvzPZn8 7Y8jcoKD2OMco5EDv3kxFczdsR6C/QE4nwJ5SpCvD30N8aT/IfBUA99l4K1u T/jVMPrAn90Xkb0vEKcBA8gfHuCHn6ckeZXzR+cs4plaV+KX9W8p/s8gX0/q 0j1+wT3uBp7xwNO0erV6O/+Z7DVG1X3W/g6RbkxmytYLg+c5syHlexIcZwew h4kLDPWO72FfB+m2FFaGMvHixs4X5h9hPq53jTVPhrMl1fs6+1eFspK/ZWG3 GsOZTszeD89STrC7mK/Auif238B52cEk7w7kc30TuX7geQB87W1oDAb+GNjj pUT2iZBXbZXJ/sUfyB/vtpJ/Ht6VrEOcn7dPd/7H46OnEn+3WBGvHJxCvFKD /OiP/MjFPZfjnk2BtxvwLnNKXDH4cBDzxrhjWJz6DOfTrPSzQuDDjqdYXfui O5FWYUx5qu6rRw9Os4u+J9qtbZnGnvodSjRaf4zdCe2rqpl9ROxs0Vi/zSeY pWN+C+tr/Gj/rSl0/jbkvYT8fdC3SQrHMODTAN5K4O+OvImAfesfkL27wPPp NuQPNoP803xAsm7z+jephuokr4+TTxBf54Ovn4B3XME7MsgfDeTPE8SBAuJA BHtOwp7iXym3rm05xuR/03jZNeeGplO4ePv9wy1n1I+I5e0/DV/U46q4TXGK 6ZgJseKk9Z/Hh1kli9NDSmUeRieIb2B+5w2ta2G/F857QF4h9PSGHm/ovwc8 I4DvJfBqAr8s7LkM+7i93WH/S/jDry35x6Nass/h/UXALupDeqD/mIE62oI6 6Ag+9wSfe4KX7oKXriO/qpGv+YiTCsRJJuwNhL1bzE0b3j+9Jh6D0X1I70km 3+LF86YXa7SdflWsteZ507GaQPHOvlf9PGLjxVMwX4D1IOw3w/mpGOsgv/oe 6ZsnR/pzgecv8F0D3k/AvxX2bIV902HvGvQV7dEXdPMj/4Rsl+wLef/WOo36 vEHoE2egv+iVRf1FEOrke9RJF/D9WfD9GvDWSvBWAfIvxIvyrwBxpIM4Wgd/ yMMf/b81NNn1PcSeVtKoPrc+tc72KrsVevy72v6LbCDmsth3DPteDqbzDpBn CPk/oW/gHtIfBTzWwLcWeM8BvyfsUbCBfbD3OfqrGvhjQhX5Z6SZZB/N++P9 naiPHoK++vsY6tsS0LetRP/REf1IFupoT9TRqagHCagHcYuI18TgtWfIz7fI T1/E2UTEWd8w8tdI+Gu1UtuwjVNTmQNGJ4zcv+/h33Y47wh5tZAfCn33oV8E PFHANx14+wN/OuzpBfsY7L0A+2PQx8bCPy1ykt8dfBQjHpNj8X0C/xdDzknc zxf0cWtxf9rAsQX3ewA4T+D+98GOVsTHJ9g5BvHTCj94Ic604Sd9KX9qYq6L 0RL779vT+WWQ9x7yZcCzMmGkvwl4LgGfM/D25vhhTxf40Qf2ZsD+BPijDt9p RlMkv9P+y2svyvduiNup4ANdxPU48MUH5PV+8MkR5EUm+MYFefMNfDRqM+VV FvhxPvJuDvjsKPK6PUZd+Gc1/NMWcWrkQPNHWLfF/niMbSFPGfKnQN/XbaQ/ E3gWAl8e8EbyvIY9dbBvIezNgf3d4I9yfNd+k/qu5TzJv7PPgEd74vuqD3g2 GfVrLXhYQaqfvov6x+vMG9THfNSZD6iji1AHdmDk9UEV9vsjrnh+6iBfKzGf iHV97J+O8/KQN8GNRhXU6xrovw88MugzeR8rAv7W22QPt0/Wl+wtR52NCyN/ 7IV/bBsk3wF43V57kPqh7qjrOeiXBqPuz0Q/dQl9gRL6LT30DQPRj01AX+GJ fm0X+o5lGIfCvgLYF4W4MUU9eo78zwYfZIDnmjCvxnoU6scknM+EvI+4ryPQ F4nRFng6AN8S4B0P/N7ohw1hn/FDslcrkOw/bUn+MPg76p9/5NOcJd5N/uvD C6g/r5pJfWYJvue34vv+7Ujq79PRpz5C/1+CPvYFvhOGo8/ti3EH8A8G/krE RTvERR3y7TDy7SV47DB47AHqw1XMeR++EfsbcF4J8nifaAh9vP+WAR55jP3x PdMC/Cdhjwj2jdQhezPQh2e/J3/4og8/f0vynYl/1wh4ZyrxoO8eld70PSmH d5FF+J53xnehJ76rl+G7agrGevizGPi0+HcZ7r0A+VSAfEoETx0FT7mC/weA /61QV4divgHrEdgvwvlrkJcE+cOgbzT0pwLPfeALAl5bjHL4vt6A78JnC8ne zbC/3yDyR5YX+afplOS7HP/OlhlK7xfXb9N3eNh0et+ofkXf6afr6f3DBt/x cRhfQH8t9J/DvW7Fvb5FvnghX/6Ah5aBh3aB37uib9uEutkZdfO2VD/ihvV2 2L8P5w9BXj/wtjf0VUD/FeARAV8y4iES8WDVhuz5g7EI71vPXpD9b03JHyPx TmFyWPIdk7/7HKmk97R8M3oX6qhI722rd9C7kRnGCLwn5eEdJBZx+luR7u0X vu8PIB9647t8AXj2DepVA/h7DOqiDeriJvQb39Fv2KCP+4R5MNbLsX82zq+C vEjInwF9ReD1BcAjB3y9gXc73rHu8vfHOrIv1Yvszd5K42f4I20S+WffN8l3 X/4OaRlH77yrNtA75SCMCgp0vpnR+bypdC/HELdWeAcdgHfoQvDII7zD38U7 ajC+24/jO7U/6p4f+gn9auonstCnnUGf1gv977PLkn3tZvQfxjgf60/yzp0i +eXQF7+K9GeC187gnbl+I+Et6kH44xFnZrBPfgbZO12F7B+A99s38MvbOMl3 cun38X1S66WVkn43Ob1WIp7VT0jyxNfbUvzbIPl/gOZ3yX7hwFbJPmzxZMn+ 9lgnye+GKKn/NTK9JL9zD3+WfD8YliX5LqMl9b/L4eOS74jelyXfZ9dLvXtf i/t//68w4HL21Vl7do15p/dt7efAQoPDt7cMubJOdlzTOusXziVdxpvNDP9t Gvtt/BeH7ytN51ycMHd/0ktTH2aYc3LDs/2RVw3XqHkm6+rLGukPvja5W9EY I7muh9fkykz5b87X+X5+nsvj8rk+rp/jkca3tMtB5YOnnhmXXhitklhdnnXs kH6Zz4ueQpL8xtCbTzoK7YdutDA7Yydsb62Wuz4nTLAenXRsu0+W0K/B9Ozp 1kKhw8SVE3eLyoRpxhuMf+/+KjQZ0dyhntYH6tP+SzifMZjkbY1z/ye/fh/p swwn/XGyhEfaf/4Xaf3p6uZ9T891F0w6RE4bcKuP6LCfmnvqrI3Ccb1l3id0 4gRbOz0rrxXFgtXuwY5ZxTLMdl/t0GUdezPv6881xzWrsbKXLZ9+PdBkGzEP xvoh7HfB+V+QtyaA5KdVRfzTZ2RF+ueHEh7p++0I/y2TIXw3Foa5Pi73Epb0 C/N+MO6a4BLz7UGdV7Uw923M9ajC/izK5WiE7mIT5mISFD5VcTHL2Nvji+Ux W3bLNzU0O9yBJWPugPVT2O+P8yaQt7ovyQ9ZQPq0/hBeXz/CIx1/v0Xk/+v+ ZN8TnB/RwXi/4PlDWGzVsW/aQm22Onmh76nfS1j9rgkblSs3szc172wmNQSy 0SMDNm4eF8rScw1yhlidYuMwr8J6M/a747wr5M2D/E/Q57mf9Pf+THik82Pn IIqXVH26j/Gw1xPyXrRL2FYzYzWr7uT9+emAfaz75T0l4jtRbNlEl8lPBiQz mRCF/lPOitgDy5I7/XbksDaYL8d6N+xv35nOv4E8S8gfB305iIcJiF/p/A1H fDPEjwPuxx72/wI+OcNvai6JMcz4d32588EcNiuw+yC5wU+Y5o/7b89WFbL6 To5XprUtYiMxn431ydjfCedbIc8F8t2gLxP6+wGPNL8M1KN8jEG8H0A8/cV9 cf8J0Pe7/o3pldpnzPvoqM2zFr1joqyZcdMiPjCNBp91paqlTIy5H9ZbsX8K zitAXltvkh8CfVz/GOCR5r+aH8QfGcjPhYj/WsTXUtwf99926B+japGSbFXK ovbO/Xq55j0bz4YXjNQoYRf4HOs+2D8T57m8Gsi3hL5C6P8FPNL8HAS+CwWf XEK+TkQ+/D5O8TYc93kD/ooEnvvR6srtE18wt/YDrOf8eMIeYh6N9Szs5/HR FvFrCPkXoS8B+l2AR7p+lE0kfv4B/ksDv4iRv0+QH98Rf+q4Xx34zxX45par eY66cZNtwnwc1rWx/wfO83xLhXyuT7WI9McAj3R9SwJ+H9gTB/tMYW8n2K8G f6TBP/y+70j5Mx9z7u8c7Of51YT7Gf2/+HODlD/5/a9HfYtAfNgjXhoQP6sQ TzOk4lMH8XcGeHThP45/LNZ9peKT89lnyF8JfXnQ/1sqPnk+RSO/kpBvR5F/ XZGP8shPhnxtQP5yvOnw1wjcL5/vwnoz9pvhPJcnA/lc3yXod5XKd85Pcn+J r4bZE3+NBp9tleJPWfAfx8v9Owz3yeN3hBR/cr5VwHkuzwHyTaCvGPyp3yLJ n5zvhw4k/g9HPVqI+rAN9eIj6kc95HeGP1bg/nj+3kd+NCP+FmOd82UzzhdC ng/kG0FfM/Rf6C9Zj3j9vKZL/Zv/Xqqvk9B/1MpR/V0Oedawn99XMeJLB/lw Dfmrh/knrPP9/PxayFNGfd+A+l68j/SP/iRZ33k/4ryf+hPNr9SvVKJfeg68 RbCX19OziCc3qX7pCfglD3NXrEdj/w6cd4e8jpC/zYL0mVeSfv39kv0S7+9q gqjf+zCN+r9T2H/Il+zrhP5gIuLHBfE+F/lpAT65C/51xHwl1n2w3xLnubxr 8N8vReonN80j/W2OS/afvF9+KEP989tDtB4YSPZoraV4WDOc4qWzTM2/+B6E fn4s+nl39PNJ6OetMO+A9TL08wXoL/KHkbyZf+h+7x4kfamHSf+jdpL9/P+V 76M5ui9WjzMbZXCv7oT/8I1Nxgcx8t9vDbmxsfbU96z1DdktmxN+ZjU/LkjY vMF9rKzT8vuaNxVEc9VtIqoGKIqWd9nWznhr0Li3I3YstO9mJHxxr1B6nT1O iJSfWp1t5TN+XkLm1177jYRpWtZtBuuYCKZuSu3tguZNKBiz+8P6k3uFpY5f ulj3dxPsf4aO32/cOKHkQLFNL+0kIfpm5jNDx1DBT9ZvvoHBDsMZOrodtery hX1dZ214ZpokrHc6kbba/b1hnvzQeM3rJUJ1zZyq9C9iodD7U0+XhYONbq98 3Cnc6YswctXbC+O25AnVGYVvlkaaGp3A7zHYz39X6kpy5siTfC6ngy7pLc8h PFzvbeBs2ED4Oc5OBmTXLQ2yl9v1Io38MNaJ/MP94KRJflugQ/7kfjN3IT+r 1JP/uZ8/DqR7Ucd98XvZJHV/fOTrlo0kZz/utWO9bddPbeRFfX7SOLyfclbz MiNBJqYw+5HjOCGl9OfI2l5mQrvvS4/8LhgvvNHeo7drZ6hQpv3l7tnPgYLJ /eV9DTweCGXDAxcPyc8Unm3KfqESWCd4HlymMLvwnbA/eoxvs0V3ljRy3MSi 3Q3CvqJxab7Kg9m2p6v1T4S2Y2qhn0edrlBno5onOEQWd2BamHtg3QX7G3B+ JuR1P0Tyv0HfV+hfAjyndQifAvBOl1v2D39mCdlzOJ7sWzGA7J38m+w/30Tj Rvj32w/JuOf+10Lc+znS/TjCXzHwX+mDNo/tO88Qwh7S6GeTazXN9rSwolvc vZVjTggHTX+U5boXCdGmgpzg9FToajlbNqK2C1sTfenS8NmtQppSW52qhfrM sbPMkE0/B7GDmd88fcznMMet+QMCZcaxM64x0UK2NbN92i6tg+9kVlr65c8U lTVMLsxax+3BdPYGc75+HvuX43wM5NlDfjr0XYB+PeDh+NKB94084c+APbdu k33Nd2hsA39qw7+TXMk/LdqSPMHjew7yYC94Y68M3ZMj4s6vK+lzhr5D9SFV okGvhaUYHf2nunp86ckuH43/1npIiY0YOC1uxe2pTNsyW9DaI7DbH1YVioet ZzL3uvhPKlzBdg/TrKpo58v+9Jz3qy7TnV08M6Xr/RtH2OkpXnYvPu5iN0ZU LdPreJIp1X9u6ft7N8vGPBzr8djfgvN7IK8n5D+EPh3oNwGeJOBbD7wxwL8X 4yfYtx323nlP9hf9prx7Dn4Y5SbJq5w/kocRz1SnEL/81KX4j0X8r8U9ZuIe s4HHDXjMr19oNdSexeZijKuN76jqvpltKq53nZnszhx3Xjm2dmoI+5ywOfHZ l4Ns7Z2f3aoy49gP/dEeb7pHscffanIb09NZroxiy5jrcez1RzmVbeXZbELj wVHZcYn/zfOw/hT7f+K8M+RVQb4b9PlAfxbw2AHfKowbgD8e9pyHfWdh7ybY /wV8kH+F/GOkLlmHOD8fB483gr8fglca7xGvOCM/jJAf/J51cM/cX6nA+zf5 itbmGSeZXAqN9zz+dr5klcruePWfvHPVNWY3ybTt97y77Fy65aeY6XlM9Koi 4ZTDM9brs/shq28P2M/dlRU6/i+Zf/JF/9wFj1kD5nw9C/vP47w95OVD/kPo 6wT98hhTgG8n8BoD/1jYow77nGCvPXjVYQT5Yz78U7BOsm7z+pckpjoZg/po L8XXU8A718A7fZA/D5A/ZYgDJ8QB91c+7BnppppQ/fEB08bYYY/CTdfIV+xw o1q6jfdLtn7f44Mjbr5naW9SqxsK37LNASMPXO5UyqY0jhh99F4J88Q8HeuO 2H8c5+UhbzTkj8H4BPq5f12BrwZ4C4G/H+zJg31LYO8b2B8If9TBPz2yJfsc 3l+YdqE+JBT9h44W1UF11MEJ4PMr4HPZXsRLPuClGuSXE/IrCnHC4477Sw72 uiuuqXb1+fDf+G1x/+Xxfz+wB2WyoxqXlLIOTWNDUipLmOxW6+TKXx9YV8wf Y70K+zfivAdG7s8j0LcG+nncrgO+euANBH4Z2JMI+2bAXt4HzIE/nOGfSV0k +0Levz2uoj5vOfq7i+gv1qG/mIQ6GYc6GQe+Pw++zwJvFYC3lJF/Gci/RMSR A+IoH/6ohD/+RCpEHHYrZk0YY77Eng12KmBdhvec6lL+8r+5TBStt2If9yeX txbyr0OfGPp7Aw/n4VvAewX4L8Aebp8F7HWG/ffhj3D4x7NKso/m/fGyldRH f0f/bI6+rTv6to+h1H+Uof/ogToqRh01Qj14hXqwD7xWD16biPzciPxsgzjr hDjrAH+dh796u807f0z1LuuFkc8vYV0e++Vxvj3kbYH8ydDHeZXjka5fOcCv Ans+w77vsFcV9gfAH21WkX8qrSW/O/iYUE3+zYUfj8D/PSBnplRfdwn3lwcc /H7fAqcq7v8H7EhCfHA/3kX8tIcfeDxyP/Kxj5T/YjG2YH9nnH8EeV5SPFov VZ+KgC8HeHl/xeOxAvYthL0KsD8f/lCBH+2rJL/TeFx2xneaJuK2C/jAFXE9 k/e7iPsO4JME5AXvP3he8zqcibw6yPkKeecGPitHXn7B2AD/yEnFKff3X6l8 5rzA+XED5B+DvhvQHw08+cBXB7wxwN8O9vC8ng97+XfTRPhjH/yzsIvkdy3n yd+oP/Lg0dWoT6vBszNRv5LBw2qob/vA059Q/1zA43dRHznPa6F+8jrTFqML 7Of+vYe4ckdcySBfN2F+T4oH+X10grzOGHm9tpPqh9YD3xfg3Qv8qrAnHvbx em0O+zfBH2Phn2fZku8AvG4br6F+yCeI6voCdeqX0lH3VdBPPUZfMA/91iP0 DZ7ox9zRV7RHv8b7ON4/6sK+lbDvEOKG94M8/+uQjybgOT6/inUeZ8E4z/2l B/mPoO8Bxu7Aw/FtBV6OfwLsyYZ9U2DvU9ifjv6xE/zjt1by3YT3kU0DqT9v M5b6zEp8z4xEH+qC/l4XfSrv/w3Rx1rh+yAdfS7vdzsC/3rgvycVFxeQbw+R b32keGyvVH3g64+k+IP3M/chn3/P8O+ADODJxLgIeMcAfzLsGQT7VsLezrA/ dxT5wx7+qe8v+c7Ev2vOetD3ouVF+u75WEHfkwt16LvoNN4jTuK7yR7fo0H4 rtqD0Rr4RgOfF+79Me79I/KJf183gKcug6f4d18m+J/XVV4PxFiPxX7eB3J5 /LuTf19z/fy7ayHwbQNeb4z8veAm7HuE7+tX+C7c0kD+WBZH/ungJvkux7+z 3fF+8QPf4YZx9L4R9Za+0/Pv0vuHD77jj2HUgf4D0B+Ge+2Cex2JfLmOfFEE D50GD9XjnSEI/H4cdbMEdVMB/Qjvt/g7RhT2//fOAXk9IF8EffydpD/wRABf HPCuB/4OsCd9NY2PYO8N2F8Cf8TCPw1aku+Y/N1n7Td6T9vtTu9C29va/Xtv WzmY3o3eYVS8T/I/FJP8zO50b5106d5KkQ/uyIfj4Jkv4Bkn8Lcj+Hs96uIB 1EUH9Bvj0W/I491sAubOWA/Efv7utgHynCG/HvpOQL8P8GQC3wHEmTLy7MNH sqfXE7Jv20Cy9/AgGtc20/tjMN7NLOsk3335O2TAd3rnTehH75SbMQ6SIX9W uNH5eZfpXjJwL+wNxXtyBMV7uhbxyBG8w2fgveMGvksj8I7rh3f3CLzDeuG9 fSb6NDf0sd3Q/wZhvhrrsdifhvORkJcH+cXQlwv9/sCzCO/MU/H/wec6wh+q TvY0XyL7ZGBvcwv5L3MA+SMHY1mt5Du59Pt41XfJ9VM1kn5/pSkZz528JHmi XE+Sf+c4SdY115uS/cKHrpJ92K5ayf62/WrJ74ba75LfY0ek/v84nyf5fiBI /Z9Sqyv53vVa6v8ZFw3J99myGsl377u1/+//FfA/UjL+V0rB/0zX8b9TGv6H SsP/Uun4nyoD/1tl4H+sTPyvlYn/uf6b83W+n5/n8rh8ro/r53ik8T1dtyni 6oGqrL+59QPjjWWFvdHVJ5oUv2TJvun/MbtcXxggV+O7W2O3sDZgwe2v/eKF bYFHGxO1nggG33+fclr7SfCO0lB1sa4Txrq2vs1/1yCoR9LcpYbWTQ7Q/hPe dD6jufqfPCGX5J98+O2fvjNXSP/QBYRH2n9yybRedndHjPuXfqIZ4wOerh9q IRzyGzRygsthwWpvwXnD6DxhVO6V005HvgtNSj7DflZ1Z/NWd+r1NmYo8zrw 1bBg/yg2PsD6lfmJ0WxgEM1/r6J1X2XaPzuPzh/0J3m1e0m+MIb0RT0l/SOB R/p+CxvIf5VmtD9TP1Fv69cjwm73w48V/z4QjkU2jHg6XpbpOu/f/3SmNks/ 9uxv/84zWHWSXZvcz8vZPeVildYCeybyyje6qbuOncL8INbljtP+cCc6PxDy tF1JftV40hemQ/rtLci/0vF3ez/uN4DsW+NC5yd5zeu4pq88Y+7G7Q11jdl7 7WRXM+dV7IewQ0feYTMbpz7YN+vwHra5rJPOgp4HmOWq0oFdXgazI5gbYr0v o/0fcV5rI8nT20ryF28kfYN8SL+xwoB/eKTzY1krxcujfXQf3N5nwHe5c96J 68vXsGmdn1ZcurSbtX3VR9Q98H++YwuGXNB3CWMfVoXEit6EMb+gNluHdwhj kZiHYX0U9k/G+bOQFwj5/tD3wo/0321H+SCdv3s3U3yfvUnx89eR7kdeh+zv DvlPLwWUxFofZwsWPXUsEYeyKplpPTYu28nGhth/mnhhv3hvivrYL2rHxdFH aK7cOvXf+kzsl4+h866Q9xr+VUc8TUf8f/EnPNL8ohtA+bi8B8X7BcRfV9xX SxH5Ywj0hd4zzOyuvlncP2S9oqzWJfEbq1OdL2Qnis3L7x0aMzBJfBTz3qG0 nnaX9uvifA/4tz3kd0D8KiDfPMEP0vyXBn65g/zMQPwPQXx9xP3pwj9OwBd6 bUdN69VE8aoP11esVo8QP9SoXvdU2U885z3NuyTT+p3jtF9Xlvw/4hnkQb4/ 9A0CfxytJjzS/BwG/pMFn3xFvl5DPuQh3r4ep/vUXUH+qishPBrWX1tejjzP dhz45h/fL4nZYb4Q+LXg3744HwV5npB/F/pUoL8F/CtdP4a5ED/bgf98wC+b kb+bkB+bUyn+fuF+xw4j/3kA37PZw36cUUplPpj3hn81sb8G8fsH8iwg/z30 dYb+P6gX0vXtdQThLwNfb4Z9+2BvAOyfeYz80QH+XAR/3YH//IEvfiXNT+P+ 03n8htH5U5DnDPkPoU8O/lwSJelPfv+5qG89EB8xPF4QP4mIz8fI71+It2DE 52zgadAk/7ljfgLrrdiv2p7OX4U8dci3hz5P6J9ZJRmfPJ+WBlF+ZaAe9kH+ tYDPJyE/FyNfbW9T/i5GPkXCX59xvw8wP471vDu0fx3OK0LeN8jPAL808nwP kMx3zk9P0F/MBn8Zgs8eg99mSvHnV+hLa0v+iTxM97kT8TsX8WHShta7WND+ jzi/CvJ4feoBfR7QX+wnyZ+c78+3Jf5vQj1wRH34gnpRg/qhB/kD4Y9Q3F81 4u0o8qMRc1usl4F/u+B8HuRdhXwD6HuFengC9VG6/9MuoPreDf3LRDeqt0ao v5cgrxT2y4GfZyK+HiEfvJG/MZhPxro853PUt+OQdxXyNaHPBvr7Pu0vUd95 P5KZWPmvP1mjTf3K6wnUv9zF+V5RZG8J+p3LiKdZiP905Gs++OUJ5uuxvh37 fXG+F/zXC/3YotGkb9xk0n9OpkaiX+L9nfYl6vdOof/rp0/7r+8m+2QRDzWI n2zEewDyczT4ZAT4rwn8Zot1e9TjlegfLCHvPvrbUYakb99n0t8+S7L/5P1y 62jqn3XO0PquneTfmGfkf43OFL8Feyi+/yAfZ4E/eqB+7AA/Z2I+EvXPYT/t H7OdzndqQ/JCIP9aHPW/X/NJ/zonyX7+/8r3Eb7nUgrWhL0uzP5ofMmBRv77 20SjVcfaDRR9Gxm/tXPYYBG+C1PbL3a0+jTLWPiuulM9+ISxgO/H6zsu2DRc MZ4qeh2d0/dTqzH/bk47qNBha281VyEo6vq39q7z+fdoentfmertcRHCr5Za nfd+B/h3a3qQx4rol765Qn5WtNLP53H8+zZD6Ha99x25YsEu+J5/1L0c/h2c sT0qvG913yrh4pyjwRuNH/Hv5cyAvwa2ay7WCyEWthseDirg39WZy1vpd8cp tJ//bnGO5IRDPpfzUZ70XgQerrfJk3A6VhB+jvPMXrJLwYvs5Xa1VSY/TLpM /uF+mJFAfus9iPzJ/Ra8jPz8UJv8z/18PIXuxc6d7ovfi62H5P3xka9fh5xf uNeSbytrDWWNhSdfacwc8D5iyq9pIrnHLlGz8qaI7C1jDq412Cksn38pf1SM h6Cr+yQrqWeScLX+t1zn2IvCnuj9Zx6LS4Qai8oy3bInQjtZq7TJYW3Z1cs/ tsbW1QgdFl4qeqjblxl9eru1tqwdM2LNwZOOaDKrRUGnCr4osNpQeZMpdvqs h9Gu4Ln9erDLmH/Fuhz2r8D57pBnAPk/2pG+e0tIv845wrP3F+Gr0yG8VQsI /9DlZM+4IrKvc3+yt1MV2R8Mf9jDv3naknHP/d/Sh+5p1VK6ny0PSd40yKu7 pTcm7vlOwfYejbtaVI++/J4sbJSrzI5YeFWo+JBTln7ru3Bzg43xxA+fhXVv 7J91j+rPDMp2etrKKrKFmuuM18sLrMi9bTezsTrMWJi3LCR2Idv18fPhXsdN meGw6v6j2tsw73EnfHb5zWYKzoE/dwxaywYUu2xqTprPjDFvHUvrE7D/BM6r QN5DyI+HvuqPpF8MPCnrCZ92KeHVAP5rzWRP7n2yLzmfxouw/8cb8kc9/DNy qCRP8PiuKqA8yL5I8R+8jO6p41K6p2hZ0mcB/62Y1FRyUeOH8NqMRrvFw/dM L1JnyTvTHsZGDGMX1UftsdAwZ9EW74tL0qczjYTNiVUbHdmEQs+fG1xtWOvb E20mL93FFrU+sJly1Z0Vn7FMnXTLn/1W16zsdnYbC1rfmNd+RjAbsFRx/GXT XWwV5joatH4J+7fhvMw7kqcJ+YbQ9wX6fYCnHvhygVcFdoTDjnr4U68j2atl RfaPnUX+mJUIXvWT5FXOH1sDiGce9iR+Wd9I8d8T8f8G9zgf91gNPNuAR2b2 +qsP9BexvhhPb77a5lOYB4s3d6yYVu3Omv0OvG1cH8gGOm5ZXzfTjxmd1D0c ohPClG3dauvaHGF/1C56e8w5wT4XZllFjglhQ/zOWZ5zC2O/Tmm7r7ALZfaY 38S6xnDa3w3nJ0KeKuQP2Uf6UqH/PvA0ziJ8KsCZAPxi2PMKeWWGvLIYRfbL /SR/7OxG/unx/1Fn1l9ZNl3ft1EsbGwMFLAbiWNM7KZs7A5MTDBQQVRSUVFR UQFBEUURAywsLMpCRcW47O547/XMZ661zuO9nz/g+WnWnDPHrtn7u78zZ5Bh H1L43CFL4vim5RK/gwdKXIkAV9yoj8PURz5nec4rOOed2LsRe597mrhbN10r 9jHajr19zTInVOxa3D9gXb1QUerg01vPvwQII+umTqterxfDlp1z73NjQnLb skll+9n5iZ+JY3pvdQxK7vesz6dn0UvFQOaLysj1Yp5y/5M28vt2yJuGfHf0 ZaA/mVHFMxF7I7B/L3kbi3+dwaME/G/nLOMRT3yO/zTs26r/DT4s++S8+bI/ no6ReN0BvB4K7twBdzpQP9/2yfqpTR4UJA888acq/vS0sdkW6eYnhjP+fZ6y ZMjPzcnvtb8NT34PTG7pW/Vs7pV9ySKq3a5CFfckz8xXYpLW+kDyzXB3a+du e5O7M1/Memn2X+F793+kvGttpfxO6HFC/2bsKYp9lbF3OPVfH39m4t8n/O1N fyxG/8qE5zxONuQ5il+89Jc8ZGVJyT9u5Mk++LO/7IMKz+uA58PApU/gXD3q qzr19Yo8GU2eOAnp7yD8bTbm4vbsE3HJLow/K2edat83OnlXlbu1PF32J9sc 2pswdLR/srag6PkqptHJdsx/sZ7O/tp8P42xI/LDie809Gdhzyzs+ztS2lsC XPXAH1P824C/L/D/IrwgD36WucaQFyr+lthN8rw68EQ3+MUJ+IUpfbQ1fbIc eJ8L3r8Gt66Cc+2oT0G92pJH5cmjVcRjeBUZj7zs7SXjn3mJgplyLNPp2L3Q TvuF9nbf9lp/t4vBzLMz5Ppa9n0mni2R991Hyv8ZKfXN95L6D4MHDcDV39h7 AvuL408H/KuNv3Xw/wDx8Ib/LupqyKMVPx43QPLohvDnxfC2M/C2/PAPB/hH a/roXProffpBe/pBPXBt5VGJaynU52rqM2K+zLO/CTLPthKvMcTrVXhYvZm/ DonvjJW2y7Eu6+vZ/4c8HYy8eOSHoa8juPr5qbTnm7e0r3SYtDcM+5+7SH9s 8K8J/r7G/zwbGY8df2R8njgb3jvU+Jd7R37i+J34r0JORc6nOnoE5zdWxZHz HU4c/5jI8zcmjm7k40n8bEb+rCWOoeTXRJWHjL+JoyvzroyPyMvxxPEk8vYj 3wZ9a4ijF/n4nTi+wN6t2P8NvtUI/xrib6lQ6X8I8ahNHI93M7ynqbw8wz2t PHnbBzy4p8m8Vny5GXk/FTyJoi4+gTctqJsj4FHVRbKuVoOPqq7HgmcDqOto 6rNtlozPKeLjRN69PSjnZYh3BvtnM85D3jvquiH6SlPXJ7DHWNU19ir7Z+NP X/xzx9/C1LX2VMajRISMT7HVhvdahZNFzsj+EwyOdo6W/cmZ+1ahmbJ/VQGH q9PfyoHTVel/g8FxZ/pjODjfg/7Zhj6wmH7dAf/98N+9qsyrJuSVBX1mJfMi rLfiPIry/TjkFmCcj74Z6N+IPcOxrxr2XqNPWuNPS/xLpF970GfGwF/yeH8w OmL4DqD69pNfkg+VmiP7eg734pH0fSv41CJ4wVb41mB4w3n4WDF4xVH42lJ4 x1TGy/CSTfg3hLz5Ax9cQj0epR47b5c495e5BevX6F9L6Ms9kdeQ+LVD32rG rdjzmfvAVezthP0b8McR/9rgbzv894A/Nic+Y74ZvpsoHjnUX/LzoryjfIO/ /4SHloDfX4KnZsH/w+GxFbkf7IDnhjK+w/7SxHc6eeFMXryn3kZRb1PBsang 7BL6VQ3m21mvxf6G8PiOyPNBfk30FfWS+iOxJ5rRFHvV/fUx/tzEv9Pc38rg /zPudyuIz6zlhu9M6l7TYJe8L97m/S29j7xPruEd5wf3+fzcC29yH73BvSqb sS72RWLfQc7dnHM3o56eUk/fwCnFP9S9LxT8/woP2Mz8Lutn2f+C758jryTy 86NvPfq3YE9J7NuMvbsZH+LPV+6FIfh7Hf8d+8l4LCQ+taIN3+XUPdvBXL5f dOCd7gDvGxN5Tzp/Wb5/mPyW9/iX3OdT0F+C+G7jXH0510TqZQb10gUcqgYO LQffh4HvdeABtvTNmvCrVswrsd6D/Yo/myOvF/Ivou8O+tOwJxP7ThGvC9gf p95fGLeelf6edJL+17ws47EsQsYntrLhO6Z69+nZRL6ndeddsxPvbT5V5LtR aGU5ZvKu5D9Qyv9iJM/Njfv8Ser/De+P+cGZB9wv48Dv4+D3IPpiHLwgP3zj OXzLEh73gnl71j+yfzrf70PeDOQPR58P7wLDsWc49mXx/uJE3lXDH7ML0r9s U+lv/UpyXPBCxqMq7+tmundf9Q6Zf6V85813VL5TPmH0eyO/nzJYfr/qnjyX TfHyXP70lvmeWkbme8xHiSNNeYcvwjtqMO/a1eh7udw/beET9XZJPvEBnrYd nvYD/juK+TnWc+BnL+BnXeijzrFS/tx5Ul+Wq9S/kveFIHA/gvp0pV6tdkl/ 3vPuauoo/e33TPrfgvftToylJxq+k+vfxwctNVyPaGIY967mhvl8d4shTpyK MsTf/B8M+1qrJEO+kN/XkIdZ6f6HeK77vyJMdx+LXm14zz12yPD9YMEDw3eZ rADD966e0YbviJZVDd9n7XT/9wyZ9N//V1hWMauQU/qsloW0y0UaeaS1Kjtw sVnCtx+tC8/p8qboxALWx/72KVr03SPr+xnjK/xzcWtb663rzQZcb2lTqWfp Zfm3RtqEjfYzG7n/P1nTzrW4n28D26b3Apo7ptjaqrlaV/vV90qekq/0Kf3K Hr1954LnLN1y7qZ9+psPZ58cfX/i2D+Ze9Y/qKNN/5kz9/bt9tqjWfsaj2+x TOu2d9C+S/5xWr2BiQ969L6hHXK6022e/TNt34eSDZ/u/qT9XZHhW/LtNy2E +TrWTdjfh+9XI6/EWyn/fp7Ud/2Z1D9mnbRHH79f/8j1vk+3xQQH19JWhLzd 0dint7YnIGGQ+bsALfD9toXGBc5pAy+5vo1t9F47G+9n6jW2jHix9Hu7k771 RL/4RR5jNrUQPQ/ZLyq6rI3oz/wb65fYP5bvLyBvY5CU/2W91Pc0T+pv+ETa oz/fsi+kP0sD5f68rUPK+U4K0cYd/OoyZe01revcBfmbVC4kOoxes9chvbGw 2lHgZrGcnuJBt2ujx+wdIdxXPSw5ft8Usbh2alOj9e5iHPN7rDdk/1S+b4q8 BfFSfgT6HgdL/ROeSHv0+RfzTsa/H/7d4/vvIWN/n8hXXIhss/Ptv9qLvLEX njumjBLeU1vFjxrnJbqZL8zv3j9Q1EgPtBr2J0zUm+r6+nZ6+L/zAaz7sP8N 349CXvX1Un5h4lEW/cmfpD36+sgiX3ZwHlb4OxR5RRvZDVkYMUk42JVf0LP4 OmExeFlJy4W7RR2rnHmxsw+LNm0qVHw6N0U0a2ScOT709L9zc9Yt2e/G90WQ 1xP5DdF3G/1vZkp79PV7L1rmtwf505vz+Qf/+yA/3/2zM9o/ihVGfet57d1z WthOvFX5S+frYs2Ylhdurs8So/vWmXNx3k0RwNye9eLsL8L3w5H3Cvmu6FuC /krUmx5ftrjKenxCvpcmn3w5r/rEowj6jFsf/ZmZmiEKlCxq6mx1T5Se0n+I ZWausL5b5m2/7g//nRdh3YT9Jfi+IfLWIb82+p6h/xD2/H/4B34UWibr8yb5 70h+1eX87IhPPvSbtyxl+tv/ocgs08O3h0+umNCusOPsu/dFNvP6rCt71fdK Xn/kK3110N8Me/T4PBe8GwSeDKNe61IPLcg3H86zBPFKxx6HCZbPn+65KabO PD6mYnC66MFc2VuK/ev4XuWvku+KvgXod8Aeff/YDj4PBf9mgS9W1K819TGM /GvN+Y4ifsq+he1W++RUuyimMJ/Euh37Vf6qelP4MAd9U9Hvgz36/jYS+13x Zwj+NcZfG/xfRTyK6eLZkfhN+V/iacJ+VW/qfKoiX+mbg35HXTzV+S8gH4qR HwqfnckfC/KprS4/a5J/N7BnBPHL+F/yU+P7Wsjrhfxs9Jmiv4kuP1U9Jevq vTr1F6Srd4VHRtTv3xJSvzHxasX5qrnCg1LsV/hUD3kKT8qj7zP6A3T1rvBp L/i5FfxqDp69Bt8GgHe/70n8K6bDT1VfbuTfauZqvSj7i4GfLsh7gXwb9G1E //poQ/xUeF8M/P9DP2hMfxhLv6ik+gfy6+r6kTX51oT6aM28JuuqfznyfTHk jUZ+TfTV+SD1f59h2I9U/wz7LftpAPxoDP02j/7eFXn38F/16+7klyn1YE79 Vmbem/XV7H/M972QV5L+HgufKE5/N/pg2N8VH8l4KvlJh1DJV+7AX4Kwdzj+ OnI+FuRTLvk/iXpdAr7MYX6f9SbsH8n33ZGXgX19t0l9o+CTD54Z8iXF7zye Sr43/KHkf8bwwRDiO5B8cCR/TpHvt+CX7cGTjuBfX+bPWE9jv+IPtsgzIX53 4JMVHkv9/k8N+afiy1vg89dZ7wCfH0s+1Jwj82UG/KAP/Pw9+HEWvCuzUuKz ml9k3Yr99nx/eraUN+yzlP+Q81yaK/X/WmPI5/+v3I+WzOm1y2+Beas70dUn Xxjy0/4go/rdyPPlqLrrTE5223z0UYPV5U5Wubtw5Vrn8a3n1ijWYGnrutro qp/jl6bU0eyLLs6X6rGszcI6RwYevGOpxfws+WXMZ3PNx6nds3vv5li7py5M sekzTatQObKt8d0hWqD9OBuXW53artg++Mil1HCtuXPqoCKBazSjUh8/1Ul4 03Z0+ellvQqf1dKzG31btD9WC+5Xtkdmj5k2t6xaPcyp8EC77PzhkEu/M9qa nIunmx7LsplYqtOcnMbvtIJzKpyb+vm69qbnrQVr8iraXs7r5Xi39Vcts9Lf lcHjM7UpY4vnefZoY3uN38/MlvvV7/OQ44d8JecXeodhz796sdPbSdqv7PTH r/2VpL/Kr8sXZRxiHsv4qDiYWsi4ra0k46ni1rm6jPPTTTL+Ks77F8tz+cZ5 qXNZtdfw/NSo1r8i5zHf545veuHLZXNt0AQ55nj3PDVyjKWW6xsbHTa3nrZq k93CGxfnae3yWSyxz5mhHXYtNcPFIl7zXDGl8RD3PdoaL6+7q77navNTnU1v rbqhnbHM7h1lUki83vZkwnDL99rY5MgAs8k1xOIZsfMKFywi5m/tstnJuIko cOXynnIVyokX54+93PSnlWgQ0bnbP/crimfM1foE9i/n+yHI+4b8S+hbjf6t 2HMW+zpgb5OC0v6J+JMbLP3zWCX97U8cNMYVxKe9Lu9V/JPI+3rUwbdVUl7e cikv8pLXWNcuC7S+jKunzR3+YtsR7Zrv7cWJPoe05vmrXirw6p3m1Ndld/PY Z1q6yZK761fXEBYd21ZqFlVGhJdYUWNaVjth9KBerXMrmgrvNtY/7Jq6iuc1 Q4fdGNdJdG7Wa2tc+jixus6EKau79ROJZpPTEzZOF2Mzr+ZeXusoDjNfwboD +5/y/RrklUS+0qeh/yv29MW+PthbBPuVP8EXpX95jN9WSv+7Bsh4PKgm4zO2 siFOqPw+9EDWQaSZzH9TzslxszynSugLQl+t+m/XNf35QftbT45rfRc+/lvE UtgFnLG5dKiu2GZUpFblMwPEuNsJ+/uG9hCblnTKX9Z3pmjjZtR90spxYvC7 T2a/U32E47NZNjVNF4i5jy7kNcjbIBrvG/fg52dvEeW673K9av/hAckta65L 9BF7mTdhfR77B/L9SOQJ5G9F30T0R2NPN+wLxV4L/DBl3I9/I/F3J3lasICM x2TwYforQ1xV+DEOXK14SeLLQfJfI//tOcdunGNX7NmEPW02fy9xb7DLv2Pe zemZg357ip0DKl5oUneBuLDwZ3fPV5tFRqXUsNrhweLysUHaplVxIuv8gxUz Y3aJWq1OZbpWOy5S+2RUvLIiTmy9/3OXS7HTwmR3sxcr38X/Oz/Hem323+H7 K8i7hfyr6DuE/u/Y0xH7OjBuwH4H/OmCf9b4uwj/zVbKeNw/L+Pzp7xhH1L4 3G2AxHFP8Hs3uBIMrlTW1Yc65x2cczj2vsbefS6Ptvi0DRcHGRf9qTSxX1Ki MHezX6HFJ4jIojlPnq69KEr02VIkwfGs8B5nk72me4Yw71ChxbkVaeL31lJV FxvfFBWaDTFJOXBN/GFen/WV7Fff70WeJfKXoE/pT2B8h30qvipP3fHnE/41 wV9//D9OPO4Qn3yOhn1b9b/ATNknN9IfzcIlXh8Hr9/fN8SdztTPZupH5dl5 8qAu/njhT5qH7yNTzzRxlfFT87zAyu9uiTTjU9t3FropSu5cmW5cNFf8HO1q m5WYI14uq/SkivVDUf7g6bQH8+//O//Nemn2X+f7H8jLQH4643L0N8CeNOy7 g717sL8L/uzGvwLg7EX8b0A8VhCfD5mGPEfxi4HwENcGkn+spg92pQ+mg+fr wfMh4NIwcClDV1/G5EkMeaLi9RF/C8+1HLUxIVcUYhzr1Kf0xMEPRcUXoa3b hz4UIxo3Grd90QPxMqn2t5cuD8Vo5qasT2B/Eb5X41fkX0FfLPpLYc+/9Y+9 E7Ff+aP8u4u/jvh/nXh0Jz43nAx5oeJvXvC8SfC7UvALxUfm0Ce70CetwXsP 8P40uKVwrhb1t5z6+0weGZNHKl6jicc+q/Q9MaE5IpYx8GMfh+tPM8QN/xVm SxNvifXM41g/wDiO71V8iyP/F/pWoL8e9ij7zmPvYuxvjT998G8h/k7Cf0E8 dhEfs9mGPFrxYxN49B/4cxd4Wxa8rTv84zj8oyZ9NJo+WoZ+sIV+UA5c+wWu laQ+n1OfL8iz4eTZFeIVQLz+vLZfv9U6TfzVjUGsZ7B/DN+/Rp6q/4ro+6vD WWVfaeyNxf5q+HMC/5zx9z7+TyMeZZ7I+HyoaHjvUONA4vuFOFYg/pnImcH5 HEOPDecXgx2qz+7ATnX+P/FD5eMz/CxH/gwhDjHkl4rjOkYVP5WfwYz72a+v 99fI/4M+1a9U/wrDvrPYq/hVC/xJwT9P/L2J/9bEoxxxFLp7msrLFuDjEvJ2 C3gwnrzOAi96kfcjwRNP6kLhTV3qpjh4pOr6AnhVlLorAJ6NoC5HMu4mPsOI Txp5p/JW1f949o/V4WQpXf9Zoevr1bFP8a25Oh7aE//u4a87/p8lHiHEJ8PJ 8F6rcNI2S/YfK3C0Jv1phLpv0a9DweHu9Ldx4HQm/e8aOK769b99hv6p+sx7 xvz4r+Kr8lTV/zPqVeVxBR0OFtL1ly+6vh2Nfivs+Ze3Yq/qk4p/qD7zF3+7 47+9igfxccs0fAdQfTuov+RDx+nrj+FLh+j7JeBTsfACD/jWdnhDNHzsErwi Dr6meI8n4xX824V/l8ibZbp+9IN6LAXOqfkX1tX+i3yv4nUD+Yo/Kv2HsUfx 8/3YG479k/FnJ/5Vw98T+J9HPBKIz8r+hu8mikdOLS35uc0OyTPXwt/nw0NN 4fe/4Kl94P874bF23A8+wHNfMSoefAb76+nyoiT1VoN6U7iq7i9l6Q9qbsF6 Tfar75U8C+RfQ5/i32+x5zOjwN4o7Ff+fMC/0vjrgf+7iEd54nOgtOE7k7rX uP6W90Xjc/Le8+hv/f+5T+ZwL7rJfbMF96aC3EdjuVftYmyPfeHYp/J0G+ee Tj0Np56ywan54JS69ykeUIq+qvqB4ldqv+KtborHIn8L+vaifxf2qPip+/VO RvVe0Av/uuDvAvx35X49+IKMT9cnhu9y6p7tXEW+X6Q0kPdws0D5vhG3Ud7T p/L+kcI9/hzjb94p1HtPU841k3MdRb2EUS/qHWEVONQbfLcH3xvSN4/QNyvB R5KYN2Vd8Vj1zrEaee2Rvwd96p0kD3vaYF9P7DUjfnPwx42xBe9aU3mnCF8r 4zHZXMbneBXDd0z17nOK98dOvAv9Givf236tk+9GDf3lWAL5hZH/l3N7yrkt ph4iqIdW4EwaOFOK+9Zk8PsZfXEJfVG9i/0D3xgHj3vNfA3rS9n/D99PR14J 3X1O3ZNPYc907OuPvX2w35h3rfX4F+Er/Z28Ro6teX8syruvttnw3Ve9Q2bz zruHd8rjjEPGye/TiG+YnzyXuvXluZyj/tPBgwa8E7lwn18MPk8Dn3N5Z03m /XsUfMIZPvE5TfK0ZHisBfw3jXlheNx49s/m+6vI+4z8zejbiH477GmEfXWp z6T8sl6X489z8u52Velvd/KpI/Howmix1/CdXP8+PlW3nqV7b8+rapjPkflL GeDEtuqG+OvhbNjXwm8a8oVOLoY8rMEcQ35bxNTw3lBW97/GX93/H691/5M4 OBm+y2RXM3zvSntn+I4YpnuffbLR8N272v/yvwL/Ix3if6UE/mc6zP9OifwP lcj/Ukf5nyqJ/62S+B8rif+1jvE/1zE1V+tqv/peyVPylT6lX9mjt+9i6Pvq T/eXPBl665vlgYPm2oXmz4c0Sat7MmSG0fE5FSZqIwMbhn2P3axNDLjnVcX5 tLY7vU5vy6O5WiWXL5/MC3zSAiZ82FBuaT6x/PmZsBazCooNzG+zXilD7i8Q KL8vFSTlvZwi5ZtoUt+AHKm/1EZpjz5+vvfk+qq2vvs7la598t2j/MeWnJut RY/eF7h55h7titfNyQNa39b2tOj2tmej/GKz8edjrmeqiW/vf6RZdGwqZi+I mmxX0kbMXljgevxwTcxl/pL1SuzfzPeZyFsyVsrvgL5V9lJ/1h1pj/5827WU /ljlyv1Nl9csaeMWrT1xOx1cp+MTLSP2WfeAmRXEeO/MybVOW4vaYTfyxWn9 RfMxT4vtnjdSXD+zvcaDYZPEmpgTm1oWnSbuM+/DekP2L+P7VOTtQ/7EZVKf 82OpP5+9tEeff5vdZfx74999vt85x2bv77XVxZFT8SZtK3URrl8XLJo/cYxo PmmGXdXweWLmjVfzY8O9hVvChqed6/mJAi3F4qjJa0U35uNZr8H+gXx/CXnf kB+Ivgfod5sk7dHXR9lgmS9vPeV5nMbf48iLTb+4rUnhyaJ1YMKXbneXiVom FV4kbw8QZwKbj3ozOURodeZ18QoOFr/uNotwmhokrJlHst6C/VZ8vxJ5N5Cf jL7hS6T+KgHSHn39Lqc+0smfuZzPWPxvi/zRr91+eUUGiXZPNgTOaxkkElrX Xxe9eYqYnva7eOc1q5On78or9yE6OHnlZTkv0UKun8yT+5fzfRvkjUJ+V/S9 QP9Of2mPHl/KUY91yXcz8qkr51WWeHiir/DynYsXzF2cvONzfJN3LruSbZ8U cK52JSa5w5ku8cMmxCYPyJPzeNZfsz+J77shrxPyq6MvEP1bFJ7o8M/EVeLH HepzIvk/mvx6yPn9bSXj0wn9xRJW+ny7GpM8P/b0YbMhW5OHb+po4rvDJ3kH 85KsB7J/V3P5fRbyJiNfQ99r9HuDZ3p8DgPv7MGTm9RrHVUP5JvRFXmeS4lX hRhpT73Mnf03nQ0XVfpbtPy6NlZMY157n1w/wf4/5EN+5E1C/g307UT/MOzR 94/x4HMg+OcOvjSnfhdTH1fIv6TT8ny/bJDxE9hXb3dkYInth0QN5r9YzyYf PkXI76vlUG/Id0LfVvSXxB59f/PC/jW6eI7A32H4P5Z47CI+lsSrDvFbiX19 mFfg/N+x/yHfj0PeROS/QJ8X+hfo4qnOvxf5YPRB5ocD+TKP/LlIPt2jvtuS b3GHZP49wR574jcS+8eSn7PY/6GVYX66IV+g7z75eU6Xn6qeSlNf/tRbcerP TtUj9dmLeo1ZKut3Ifr9iVc1zrcJ9f+e9SBvuX8S39dHngXyC6DvFvrtdfWu 8CkDvPoFfvUAz0aAby3Bu/7gnxf67lK//pxnBfK3D/NXxK8GeNuZ77shbxry lb7iLaV+ex1+KrxfD/7vhR8coD/E0y+W0T/skF+DeFzn/CzIN436aMn8Fetq fye+j0HeMeQrfUnoTw407Eeqf/aeLvtpI/rrD/pt+bmy/8Yirwv+F+O8VP8e SD00pH47MR/CekP2K34Qg7x6yL+Avg7jpP5Luv6u+EhT+GbFh5KvlIW/rOL7 KPydxPk0Ip/6k/9HqVdn8CWJuT3r9dk/n+/fI28g8h+ir+UD+FpdQ76k+N3I DMn3PEwl/9sNv3MYL/3z1PFPG/I9h/r0AE+iwT9P5t9Zb8j+jXw/CHmdiF8I /HNyPanf6qYh/1R8uVSQ5M8/MuX6Lfhos4ky/tXIl93wldbwAWP6bVfw7u8z ic9TmCeALxXYL+Dzu+HzNeDzRTtIff9g3/T1hnz+/8r9iPtcQpv5OcYhU6ue fDdPjur3vC67tXGt6mpPu1VoeXa+hca98LCbTcyhpOf5TuabEjxe9Pp5gvvj kbiMXT2XLOuqefmHPP08r6q6Zyb++ZHj+rzxau3vpTffE8091X30aN/Zx7M/ Z8Rrh2qtcuvmuV3dW48eCTYquOlXhtZuak7E8Kkn1f02aejTUVtzo19qXVPf hCRWSVf34KQfHwr6bjr0Q2tW/bar0cd76r58rMvYnxbRzgXE+TZOw+slPlT3 6mNO/J7JfvV7BHL6npfylZznT6Te5OnSHqV3HXZurS3tV3ZWxK+hadJf5Vf8 LxmHlI4yPioOaVkybvl2y3iquKU4yDj79ZDxV3Fey7mkcV7qXNJ056dGtd6w l5STzvf5gh08DretdDJlqRyDXZdUz+nspF2d3WrgvWL9NGdtSfydmcHa31ET q3/x9te2RHca+ME0VbtS0Hz3lgfHtFdDn5659vy9tufbj519Ix9pO43HlPLw KiPcLueZHwv5qxU7/+umU8H6wjeq//yJxmXFiaReBT/0aiXGFvh5+1qj6qLb /PoPUi7Yia6e4xrWK19LdGTuzPoL9lvzfU/kPbwk5a9FXxD6Sw2T9hzBvg7Y azlG2u+PP+PnSv9iXKS/19dI/81WyXEr8Znf3TDvVfy9lstzMusjz6cr8aqG PI8Nn6yOfg/Wtq6Xo0P+RcnFd1zTpje1eHN15yUtoFm1Ca2bFBQ3oyanncr3 U2vUY8Pv1cJK5KVN/H7J2Ex0KLWhn0O2g/hmnTf4S6K1MG1i6rqu2GDx/PGz 3rn9u4upg0t8d20wTuTks3N42d1RVLIa0vPl1yniV9LiasFDXIQF8zTWp7H/ F98XQJ5ZWylfoO85+jthzx3s24+9KU2k/cPw5y7+BTBakT81iG++djI+KSsN ceLf/J4o68AN3Lg2Wp7TLCHPKQ59Y9B3oU2lnj5tiojDjK397h3sXqeVuGfX evT+H83EkcPBESueuYhtjfdWjH7ZT3xtXW/ombbuIvOa14+BPuNEHS+Pn8Pq LRFbFz1Pi8qbLfbvNy73dZCPMO/Vos7304tF7+ycI59+rxE5reyqvquxRDRg XoP1WPZv5PuWyDuPfKVvO/qPYs8L7LPD3mzsf8LojX+JKr7kaQJ5ewF8cMtn iKsKPwpdlzhzGHzZX0Dm//0omf8lo+U5buYcr2JPF+wJn16/z7ltg8UexjIm xS++OeUhBtWOSHtTeo54tm6e057A1aJzP1ePSrVXiq/dtnZytQkWzfJ8zm4R AeJeV4dGNReGiLhvZ9a7tw8W0xY9j6/2IEikPbas9elHsFjB/Cjr59nfku9v Iq8n8pW+Uegviz0R2LeNUcP+V/iTin/bydu21H9QIRmPvr9lfH5cMOxDCp8d 6EO9Z0n8zgJXuoArZ6iP5tTHTs75Cuc8AHsrYm/Vii3q+99eI0wYS01uVzHL N0S8jL06vXq/EHFwhGPzbh18xZKlI/bHNwsUDwZ1W3H9wZxkp29dj9QyWiam 1rp1198qKLnClWPuPaJniYHMe7HuyP7DfD8BeQ+Q/2eS1NcA/dUZy2PfTOyN x/79+NMR/27hby44X/e7jIcX/e1ZTcO+rfpfUXfZJ3/RHz+C17PA6wLgzgBw 5zb185n6UXn2kDx4gz/X8edjPe8uThb/uScx/hjxcn1Et03JYeNMjc5+DEw2 WdSg24Bt0ckvmkeuL78gIrlM2ZfGA9fEJmddvJtjdGNP8q4ycl6uhVz/uFDu d+F7v5FS3jLkfzCXY03O7yr2fMS+/tj7B/vz8KcL/il/l+P/OPpjoxAZn0M6 nqP4xUl4yDH4RwX6oCN98Dd4XgE8DwCXGoNL7amvh9RXMHkyiTzJxt9fxO9h etfuR47HJB9gbGzUu+KgrnuSDxo/cjvXYm9y/6C3q48OC0huPn5oxsiqe5Lt mRcuLtdN2O/L93cZTyE/En1b0B+IPc+xrwv2NtbhdEX8+wd/m+H/DOJRB16Y oOOFir91qCF5Xnf4XWv4xW/4RQZ90o0+WRu8PwreHwC3IsGtzK+y/gJdZf19 Is8ukEeJxCuuiIzHgKlNXL42mSR6TZPjlMBmu64sjhbBPVavqhi9WbRj/mS6 XB82Q461iOca5B1E/i/0NaT+u4AHe7AvCXt3Y39b/FmJf4fwNwf/9xGP28Tn ZTVDHq348Tx4dHv4c3d4mx287RH8ozb84wt9tDR99Dn9wJt+EJUmce0wuLac +qxLvR4ZJ/PMiTwr1lPGayHx8tI2uc/SDopAxiBGN9brsf8F399AnhHy96Nv I/r9wVnVvx5irx32P8UfG/x7g7/m+O9FPBYTn2+tDe8dajxCfH3ZN5r4t0BO HOdjhx5bzq8mdlzgfEdjZzT5OED1C3CtC34GkD8ziUPsZJlfA4mTL6Mf8fNi 7sB4h7ycwvfhyLNHfiP0uaD/NfasxL4U7LXH/pr40xb/ruJvbfxfQTxWEp8F unuaysue1PsD8nYWePCQvL4DXqwi78PAk13URQvw5jF1swE8KkZdjQCvjlB3 WeCZBXVpw/hytoxPKvEJoq5tmXdxl+tR7N8NLuQhrxD9agv6LoErsdizFfvs sfcK9nvjz0T8+4G/X/HfmXgMIz49dPdahZNnJsv+EwKOHqQ/lQNnX3MPqQ8O 59DfmoDTw+h/aeD4K/pjM3Deiz5alb56mH5wC//3Et/N5NUf+nMx+swr5m9Z /87+SXy/GrmlGa+hrzn6H2JPHvYNwF5L7Ff3A3XPeoG/JvifQTzWEZ+0yYbv AKpvtzWTfEjxni/wx7n0/bPwKQd4QTh86wu8YTp8LAle8bmC5Gvf4D3vGQvi XyL+hZI3QwbKvFG8xoZ6zATnhjEvzPpZ8tyW7/sgrz3y3yq+xVgW/piNfR7Y +x37FR/ujn+p+Kt4Xyf44xJ4j3VNw3cTxSMX8U60EZ45GP7+DB6aCL/vAU/N by/5/054bDD3g0rwXBPG8th/A/sfkxf3yItp1FsO9ZYAju0Cxw7Tr4KYf2D9 K/tX832R7lLeM+TfR19L9P8uLe0pjV3x2HtBd19sj39n8bcw95As3jdec08Z rXtnUvcar+byvnj6p7z3bON+3ZN70Vfum+u4N53lPtqEe5UFYxT27ce+MZz7 O869N/Wk7sN1wakocOo4+G8B/l+jr6r7tVpfz/66Oh7YWcevp6D/Kvacxr46 2NuG8YV6L8C/efibx734Lffr8n9kfMJ/BBu8y6l7drsq8v3C44a8h6+YJd83 jHinKMB7zzXu8amM79Afif7bnKsF5xpKvdhRL6fAocLg0DrwfQr4bkffVPzq DXykJvPGrKv3IcWfCyLvLPJ7oi8Y/fWxJwv70rHX2Fra3x1/RjC+wd9E/A93 l/Gom8Y7ZnXDd0z17pPSUb6n5Zbl/XiSfG/z7S/fjS71k6MV8icivy3ntoNz y6MeClEPueBMMDhTgfuWK/j9hr54m76YCt8oDt/4oN7NmF9g/S77H/N9b+QV R77S9wz99tjzF/u+Yu8Y7M/mXceb97ICTtLfQ45ybLpAxqNdfRkfx66G777q HdJ7jnzndegk3ykLMOabwfemxJd3yVXX5blUGivz/RbvIPnA1TvgSDz9KpP+ pd5ZM7h/toJPrIZPhMHTNsDT5sJ/5zEPZP0y+534/g/y8tFX16JPveNuwR57 cK4h9npQr+q9fL2H9M+spfS3nZf039VBxqM141kPw3dy/ft4+7mG670dDOOe 0sUwn71eGeLEgcuG+Guu+z/gse5/g706HnapmiG/vaC7N9TQ/a9R+LzhPXf5 dMP3g7F1DN9l6lwxfO8KtzZ8R2wXa/g+W0T3f88Vj//+v8KP59WvfPSc1PJ7 aYsWD9JOt7qxpo1rxLX3rbvd3H/5V79vbdw9f5b7UuC29ebOl8d+cgxu+3Gu Q8VeixrYzGk71HZn+3CbLsNvbrDe9t6mhd1T049NatuGeVerPXdAc1s1V+tq v/peyVPylT6lX9mjt29hZNmuH9bknojo1dcitmUBbYX7irq5rs20yS0T3I4/ H6c13pLfIq1xmFYytJbDkJtntGrvh2+47fJIK7hn7qrh0V80E9cq0zTbguJa xXu7Uh8VEQWZf9ot1yuzvxbf2yKvQzMpf/NUqa9dP6n/EPbo4+fWV64ftynZ 5rB/C83vfGL5emtmaFftux85Wilaq+xpVPpR9B1tzSK3T0VGFRAlK0eeG+1m JvbY51WwCmkhfuyv8nNtj3Zi8t59jgs7dRQ/mUexXor9G/jeHnnHNSk/Bn3P 20r907FHf75R+POA/Zv8TbLuW+zXUvrmeERefqJFFfPT/hhXFOuPbbzfO5+d SLj90r5GLRcRMzP9c0ezieJTqvaj5tdZ4v7EQl735nuI98zjWD/O/mi+V/Km IT8bfWPQ7zFd2qPPv1fE3w//fPg+fkCW9/nM6uLkULsvu1y7i7nvw9uVXDBF HPv5rX/TF96i/e4nAd2vrhe3wmIuVBq0Xfx84Xq+zOOd4ibz7qyfZv8yvs9E XhLyg9AXgn6b5tIefX18CpP50pzz2Ii/N5D3eOPEQxYVZomP9uXtykQFiTre 011a/ogSv3NSW4xZkihO5oSmmk05JXwOju22bNEZcYL5H9brsz+fJr9/hLzz yN+Fvp7oP4s9+vrN3iDzezP5s47z8cT/b9h32b2DWeOcOLGxUNiYFr5nxIEu C563d7ouTN5cqZZlmyWSTrnO6Pc5W5RlrtY3sf8G3+fHXhXfDeg7jP7P2KPH l0fvZD2WJ98jyadUzqsW8QhG3/KPqeMtAzKEcSNrN/vaOSLdKz1oT51csXiT e7ta63NFFvNSrPuyX9lrhbzLyI9Hnzn607BHj3+PwI8D1Gck+d+N/PrJ+cUR n2Lo98j0zOmSmyuKu/cRCy1zRcMP51Nbe98XJZkvYN2E/Sq+Kl+U/HD0paH/ IPbo8Vnh3Vfw5A31ept6OEa+Fec8rxEvY+zxqLN7Z+TkW+JLaImiVj8zxBLm yn4Vb5UfSl4O8l+hr0Kc1H/NRdqj7x/nweeJ4F8W+JL/paxfP+rjIPm3iPO1 In6fsc/jxak7ZvWuiK/Mm7Luxf5jfL8KeQofrqNvEfp3YY++v/3G/vfE8zX+ KX9P4X8x4pFGfIoSr9nET9m3iLk6/wyVr7p4ZiFf6StBPF/p4qnOvxj9L4b8 OES+9CB/8t/77/k5k/wrgj11iZ/Kh/msl2b/Qb7/Tn4q/N2JvrPoT9Xlp6qn b9RXFertIPV3hXqsrav3pdSvEfpVvi7gfFW8FR74sD+U75W8U8iPQl8D9F/X 1bvCp6/g1QHwKxg8WwG+fQc/08C/DehT8TXmPBPIP3W+al3h7XUdfq5Cvi/6 TqP/sA4/Fd4vBv/70Q820R/S6Rf/0D9+YG8tXT9KJt9WUB8q/xSe1WP/H3vD fnQR+UHoG6r06/qR6p8NW8h+2ov+uo9+m0D/PYO8Sfiv+rVGfmVQD9+p3xvM O+j6+3y+v4S8U8jfir7l6C+k6++Kj3yeJfnJnFTJV+oFSP4SzfcX8Hcr53OU fIon/z/r+NIP5gdYP8n+KL6PRt4G5EfCl9bDl5rr+JLid37dJN+Lspf8bxj7 zfDv0WJ5HsvIn0KKT1Kfb8EzN/DvE/OtrKv9IXxfnfOdhfzT6LsP/x3fx5B/ Kr4cul3y57Cuct1Hx+dXbpX54qb4OPy8BXjWkH72Hnxuyrwh613YP4nv1f3A nnybPUXqc+sv9beMNuTz/1fuR25eC5a7D6/WqmXdLRUvzX54wrGOHNXv+Q5s m5E59O4Jr/ytBpZLzDlRZ+ylubPKurUe9HZ+1QGTLTWHzOeFH/err83qPi9q 3ZF5bf4UvWLeyqyvNmzOziEZm9prHcxTq3n2nGq90X5up0aVfLWY2COfi4Yv 0Pp9ezv08UrbtkMsb7kcWn5IG7DvSWjXSzu0AdG9zO275LVt8jy9X8ylLC22 ygyPv+tTNLc3obEtFk6wydxT3Su15lutVvGbdmlVMzXvuUFlPQ+m2SS9XXik S9IfrdXRgGk1P+RqEy8GbbK1K2U7fezCxNqzC4vDVq8dM2vnaQ87Xz3X/Gxj 27n8Xp396vdDyCmPfCXnLno3YI/S2wE7rbFf2TkGv8LwV/kVosk45HeX8VFx iCgm4+ZxVcZTxW3pGxnn8K8t/yf+Ks5eh+S55NaS56XOZXotw/NTo1pPeSnl 5MbJ7+PNRh7I7m6pFa0tx/klsxabznLS5nWPr7rRu7+2uMuKoLZVQ7RPjUbv D6rrr00u6rOl6KXzmlWlFpUOOp7Uste1eDHz5wfNs+zwhp+ePNaaj+9z+mtw OVG70fa0NlPyC4s+q6JE3QYipfT92fmPlhe1U9Zt8hY2YoPZhARP61riTv4x v23MOwgnX+18oSF1xU3mar0G+4/yvRXyaiFf6VuL/mfY0xH7rLH3UGNp/3T8 yd9T+tcbf58Sh9Bacgw/SN4XNMx7Ff+i1+Q5reV8DveQ8sYj79PEZ8aLe6zX Wk6SY8TqZwO6JF3XzvVqndkqNE170vBEow++BUWbEctmOh39qX3Q5r2L+dlQ NN5YfVC5abWEqdGZccc+9hCJ3VKrfvtmJ1zWh+X9HTlSjJp6c8xl/76ipuNw 81H13MWG84PGXM8dJIK+b2zUvstccenKu+DQ5cNFCPN1rNdi/2i+H4S808iv jj479BcQ0p6O2PcHe0dg/yr8yYd/jRkH4/9z8ucW8YlIN8QJld+J02UdrCL/ IzmnRZzTQPSFo8/820bT7b2LCGPGPpadtfK92ohVd72Hf9jSQpyL+tDsyodh ItQkMie3v7M49K7mkze1F4je2edtW5R1FwkZY6rnLfEXCUO6T4nuvVRc33fo imuFLeLptaQtRkv8xGvLnc/9au8Uj9ckWEXN8xdvmD9jPZP9R/k+CXkDkH8U fWHoz8Ke1dg3GHvrYn8Nxo34twR/N+H/JuLRkPiYuxviqsIPJ3BmC/hiS/43 Iv9rc47fOEc/7BmEPctHn/Z0rDTy3zG8i+Xzko7e4nDtokGrBi8VjYNn+PU8 Ey6Keq+JaDhmo/AJyAqK9YwXR9x9D1+rHCXuVDDqXq32SeHYzMV3+eJ48eP8 vHmNPp0WqZ8150FfDv07V+t32X+c71cjrxTym6EvBf37sMcP+3wZB2K/iu9v /GuGvw74v5Z49CU+d2MM+5DC5zmxEscHgt9bwJU74Ep16iM/9bGJc77COR/C 3j3YW7LxxBNl7HaK0oyzNic6FUtNElMd932IPH5EfGk0K8Ct9iXR/Gd2XAfL c+Lky3fjNLMMEby02sznr9JE8dafWpdely2qhA6ZWebRtX/nQawns78F339H 3gzkz0NfefRXZIzGvlPYq/J0J/6o+m+Kv0/xP5F4hKj4xBr2bdX/OtAnB9Af G4PX5uD1Jh3uuKj6pH4KkQcq76bgj4qfRYGBTb4/SROWjG8KLt/6tNst8Z8b m81432yxJTV4bu2L94VZ3+QGhY7dFe6DW06ouSxXXJzfdvMAp3tiJvNarIez P4/vPyKvIfLVuAD9Kr4qT0tj7znsH4w/9fAvDn9b4n9v4jGU+JTQ8RzFL+4a Sx7yGf5xhj5YnT7oDJ4PB8+TwCWFc4eoL1/qq7EuTx7ir4pfeE/hFVI499/R 7kqJLxMu54oNqw7VLvk+V7Qp4/PoePEHYn37ee1eX8gVbZmHst6O/Tv5fgfj J+QrfT/Qr/JW1X8S9h7D/hP4MwL/BuFvLfz/qXhFpIyPu7EhL1T8rTQ87wT8 Lhh+YQa/WEifrEOffAPe3wDv+4Jbt8GtddTfceqvMnkUSh6peNkSj6OhEybV jcgRhxlNvp7q6FAvS0QNCn26zfW2KMf8BOsnGQXfb0ReGPJV3iq8UHig7HPC 3mzsf4c/lvi3FH+r4P8Z4mHyTsYnPtGQRyt+HAqPngl/7gtvy4K3xcA/NsI/ ntFHVV89r+sH5cE1I3DtNPU5lfpUedaSPNtNvEoTr8ul5iwb9PmauMp4nVHF M5b9NipPkTdDhwcl0G+KPd91/es99ufhz1b8O4m/6fjvQTy2E59hunuHGk3I Rw/2+RP/q8iZz/mEoucD5/cWO1Qf/YWdgZx/UfyoRH5Mwc8g8qcpcVB5WIo4 lWRMI34qP8syHme/ja7eFY7WRJ+xrj99xb7+2Kv41D/4sxn/VuOvyqMjxGMd 8XmeaHhPU3lZkntaFHV9EjxQ9waFF/XIe4UnWdSF4i/3qJtm4NEJ6uoeeBVC 3YWBZ9bUpRrjiU9z4rOLvFN5q+pfY78aFT5uRf4T9KXo+nom9h3G3gwdDzXH v+H4q3DtBfH4TnzCjA3vtQonB9F/ftFnmtOfGoCzkfSvMeCw6m8Kp43of37g uOrX38D5+ro+rcYt+L8B/1WeqvoPpF6n6vJY4ex2vn+HPNW3m6JP6Z+JPaoP FsPew9jvhD+qjx7AX3P87088atJnSuveAVTfPgEfGkZf3wtfakHfrwGfsoQX bINvnYQ3HNPx7VLwtbnwjjmMivd8xr8H5I3qR6bUox5XiyicY/0Y+9X3ihc0 Qr4H+pR+xR/1/FzZvxV/auKfOf42xv/rxGMp8bGNNXw3UTwyca/k54fgmfvh 74qHl4Xfl4GnBsP/r8FjV3I/iILnKj5eDvsbYv90XV6oelN9NAAcU/2qHP1B 4ZrCOXX/aa7jM4onNkdfBR3/jmX0wd7b2L8Of/Lhnxn+3sP/WOIRQXyqxRi+ M6l7TST3xbbce4Zxn3TmXhTIffMT96Zq3EdHcq8aqu5X2HcV+45z7kmcu6p/ xTuP6HBqAPiveMAp+upL5opfXWP/Qb4/gjxVr+p+fQL9mdizCvtcsXcEYy38 eY9/nvjbDf/3EI9pxKfgdMN3OXXPDrst3y/uGMl7+IOu8n3jNvd0b94/tnKP X8+o7vdf0T+fc/2H954Q6qUS9aLeEdR7z0HwvTr4/oS+qd571DvFeubqHUO9 9xzm+4HI64/8GuhT+v9ijw/2/cJeC+xX71c7GSvj70L8L8L71w/ef9emG75j qnefcEv5npb6Xr4L+dWV721uJeS70TDGgciPRf55zm0G5+ZGPXyhHqzBmTbg TAr43QL8Vu9elvTFAPhGDnzjCjxOzdW7WiP2j+F7a+SdRX4H9Nmi/yP2tMe+ rtjrjf0LVLzwbwXvZUmMZrzDjuZ93a1IK4N3X/UO+auqfOc1u847cLocw4hn LvHtzTtcJOdSmXwvQr5frihxpC44Mhd8bgY+m9D3DsALouETm+ATfvC0kfC0 nvDfCcyDWN/F/ji+T0ZeBfVOjD4v9HtgTzdw7gX/H/TCfnNj6U9z3nH9Xkt/ rXnHVf9b5PKOG6d7J9e/j1+obrjuZWYY97JZhvlsNdcQJwrGGeJvtu7/gGJV DfmCt+7/hSm6/yH+6O4NU3X/a8zQ/f9RsKrh+8Fp3f8pO3T/u9yaZfiOaH3N 8H0290dLg3fvhWb//X8F/kc6xP9KCfzPdJj/nY7wP1RimPxf6ij/UyXxv1US /2Ml8b/WMf7nOqbmal3tV98reUq+0qf0K3v09vmnV//sVuD1ib5H8v3aNbCO ZvLnc/OXLdtrH02P/jC5tEyb6uBb6eWAOC19SJHbT6MytCeWudNWhbzVho2K cBjmnl/0fRf5olhscdHk9I+i06qaiDHMTVlfyv77fB+DvHpVpPzjv6W+yQlS f7tL0h59/NwOyfUc38C49pW7acO7jZ4Y9361FvbAwfHEq5NazLgKx4fWeaU5 +2wOHpZWWsy9/aTM9b31xXFv0w4JZ6zFeFPjtwc/dRAmvkXmbj/fWQxinsJ6 LPsn8P0u5MXdl/J3o893tdSfclDaoz/fpV+kPw17yv2XFha9sLbEGc1174nX qTu/aU6/L8SdqltHhET2N03Y2EFcPrnm4prurmL1JbOjZkljRc8mh2fOqjpd TBzf2fZPvhliLHO1ns3+VXzvibweyO+0SOrrg715+b78jz36/KtD/Efhn+D7 ckMCere6ZCnWjY4rNa57X7Hs6pZx/u8niJlznme1+7xALB7+Z3ma0Qpx0rbk i2W+q8WymDfN7IeuEQ+Ze7C+g/3r+H4l8h4PlvLbKX2cn39laY++Pg50lvli M16exxD89Udeo24vy//jPl1k9bZbu33qcjEqoECrY57+YnyEc6WIqEBh93pU TIff/uLgucpNJ7quE69eyXkk647sf8b3NshT9s5BXwD5cIj81dev5VCZ3/nI nzmczwr8z0X++WrL5/bPDRDjG4fZl8+3ThSt1iuiSOs+ooCry/OS5n7J7a8E N/S7FZTcepCcfzKT60nsf8z3acgLRL4P+kLQXwx79PhynnqcQr5nkk/enNdg 4rG2idT3PGXcpXk7liRnbU+0efp3R3LxpSMy1leISn7XP/Rqt41RyanM37D+ KVnuz8be3sgLR/5F9O1Gf1vs0eNf6kiJH9nU5zjyfz75pXF+TpVkfArvkPpj fnz+5mwelXx3x5J9s9qFJX87WL5xbOvVyUV2ynlV1o3Yv9pcfm+FvAnIn4a+ X+gvA57p8XkOeOcCnqh6fUY91Cb/QjjfUcSrWoS0p97Kylcn7tgk3r21fjtr aJRwYN4Xe3+xfw/fvyF/fyJ/CvpGob8z9uj7xz7w+biPxL9V4Et36rdFqqyP vDSZfwGc7+l4Gb/32Hd+8qCPi9Lj/3O/lXM34tuM/c3J3w3UWyvkT0DfX/Qv xx59f3uJ/WXxZxL++eDvdfxvP1DGw4P4zCde3YhfAex7u4L4sm7Mfh++t+J8 biF/GPqc0b9WF091/mHkwxLyI458cSd/epBPwXXIL/LtIPk3k/MfmyDjp857 FetPqacpzeX3XZA3C/ne6PuI/ja6/FT15GYl62sJ9faY+ttEPQ7R1Xt16rcU 9g4hXk6cr8rfo9iXw/76fO+KvBXIz0GfJ/prWhnWu8KnGeCVBfgVD56Fg2+Z 4N0X8G8++m5Yyfh0Bi/Xkn9LmbetK9dvgkcFq8vvXyJvJ/JVP52P/jY6/FR4 b9JF4v9O+sEo+sMq+kUz+sdP5Cs8XcP5/SF/f52V9XGL+WbWfdn/je9rIs8D +ePQF4z+J7p+pPpn8Uqyn3rnyv5qSb+tRX8PRN5y/N/MeY3S9fda1O8J5uNY H8L+AL4PR94b+rsv+lbBL1ZWMezvio/0LCb5yUAHyVci4S8WfL8ef9dzPrfI p2Dyfwb1Ohl8mco8kvXX7A/n+x7IC0R+NPzsdnep3/THZwO+pPhdygHJ9yyC JP+Lg191gr+s4TyakT+LyPdD1Gc38OQa+NeWeRjro9lfgu8HwXcE8TuNfWZ+ 8M8EQ/6p+HLKZcmfz+6X6y3h1/mJvw3524/8DqT/2oIfn8G7zeDzC+aerI+l fo/w/Tb4WTLyLX5KfSbw9ZTrhnz+/8r9iPtcgt3ZalZjrpucPHRGjur3Qi8r jw2e3ECLq1qhSrVdTbS68l542M1v/cwtleqcvFXc+u/HY01Pcn88ctV/1ofl 9jO0N7v9ipx6OlbdMxNXNVqzccDcrdqsrVerZp0OUPfRo4/a1c34Ueyc5mK9 Z7xV84Pq3nq0qLdnoMv2x5qxQ6+0dQlX1f02aVFowvD4N9+01392LzxY+aG2 XN6Dk7rm7vYPTCoiNgzr9GJCx5fqvnysjf+gHu0XlBKujcfv8Dj/Vt2rj1Xk 92fsV79bImcb8pWcWPS+7CTtUXqtsHM69is73+HXRfxVfn1pKOMgomV8VBxe ELeipWU8Vdza+cg4exB/FWe3F/JcwjgvdS5NzxqenxrVumk1KSeR75uGzG+X Odz8ZNx6Of7oeqF5i3VztdBPgbOWZM7SVhT5Xs6oRJSWNfx+rybuO7VSz9a9 vul2Rzuyv+A/dydc10a1K152hVN+8fZ3xJypcR80l/fGOR/Tqv/n/lOru0X7 EuKJz96tVj+aiXIZtl26VKshzJevtGy/UYg/XifjT46tLxJqel9Zfa2T6BQY VbFA8QbiAHO1bsr+pnyfhTyTIVK+M/oK/pH6p2DPTuzrjr3tsH8Q/tzDvyX4 axIs/b8eKMeixMdfl/cq/k0ry3NyWy3PZ+8XKc+5m5RXYNuvpqPfRWuNwuVo t+jnwBZJj7V9jkkvzhzI1bYdvj/+ddmy4mN0D79jjsbi0/tftc0PthRmFp/e 1fSxEh6bNxS9cPQ//X7yTSNPhw5i8eIr1b2bjRCn6sfcHGPcX8xwvhlikz5J rLRcF1BlyyDxekVQyuMF7iKk1+Dp5ZsPE9+Zr2N9GfvP8b0v8uyQvwl9luh/ ij1V90r7orH3Nvb/WCj9KYJ/joz+xNOe+Oau+O84ofJ75l5ZBxUCZf7X5Jz8 C8tzykafBfE7fW/M0AZ55UUi44dt0y9P/SCEf/iAfE932YqHHyasrnN8mOh7 5JvL6osuIqfLyMihCTOF38N+fw/WmiwGxXi6ziyxVMS+v7iwsJuHOGjkYLZB 8xG33v0u/WOyl3jt9HpZrPEaUW9yatqgokvFM+ZXWT/F/mN874q8bci/iz4X 9Bf6KO2Zjn3G4dLeAzo/CuPfUfyNIU+PEI8+4MOKSENcVfixMEzijC/48oX8 dyf/L5NnezjHAOz5TPzO9D8+LXP+CHGWsWObC2etKi8QfrfaHri4wEPU7p1T YlSp1eJy8PvWR/qtFB8nL9JO2weKON8rSx/b/ocHnyjuXqVBoPB5ceJcYsdA 0TslpWN8NX8R5blvffzOQGHP3IP1Oezfx/e/kPcY+XXQtxr9/bHnMvalMhYm nvPxZx/+mZO3ZfB/D/FYTB8qtc2wDyl8LtsWHG8v8TsdXLMFVypSH8+oj/6c 81vybin29sHep2csY54+9BMXGPPyTwzxWRsoylUPGnY/OlCMf2U2x/vVUpHd NGpGmXN+opyTbb3tHxcmFzPyPmnm7SFut7kTt39DYHKvJZYbx14eISys5bwJ 67+d2d9Mfv/9pZRnhvws9GWj/wNjb+zzwd6/2D8af5R/ZfF3Lf4XAWef0N+W 6fq26n/3O8s+eW657I9n6AfDwevm4M4ScGct9ZNL/aSRB7bkwe9q0p+3+GNh F2vmlOQhxjKeG7p0potPaLKf1fPtlrMCkxd8vzGyRY89yQFmx9+X6LkjeXL4 nk2ND0UlZ5Sun7K9wK7k3cy3sO7G/hF8H4e8y8i/Yi/HFPTXJ74tse8i9j7E /hj8Cce/pvir+qMN/asu/GFHJ0Oeo/jFg9+Sh3jBP5bRB6/QB/eC58vB8yvg Um9waauuvjqTJ1vIk674m3+Y9Ndos83O638jkwXjKKszp38nRiSvmX//yrGc PckDfye5LfQMSJ7vfWFH+PqI5DnMB7K+lv0a3z/ZJMc7xLMM+sag3wh7/mJf LPY6YH8q/qzDv3j8zcb/hcTjFfGx1PFCxd8uw/P2wu9ewy9uLJP8Yg59ci99 8jJ4vx68DwC3ZoBbo6k/MxdZf/vIoznk0SHiMYh4tLPKirg1z0iYHZHjkXq/ uqQO3y2CPjTI17x3iIhj7qZl/896uLkcN/L9MORtRr4n+i5S/+2xxwv7xmHv Luy/jT8R+LcZf3/jf40lMh6riU+EjkcrftyzqeTRW9ZJ/nwtQPK2dHhbJPzj HfyjBH3U2Fn20Vj6QRv6wWpPiWsx4Fw1E1mf1tTnd/KsBHk2m3iFE6/13Qs5 Dut9QGxnDGZ8yXoj9nfg++vIm4L8MuizA1ftwNmO2LcPexUPqIo/H/EvBn9P 4H9VeKw594vJTQzvHWps5Cbju5Y47iAfzyAnivP5Bz2XOL932LGc822GnW6c f1n8ULg2FD/tyZ9GxMGrrMzDfcQpkHEf8TvBPJ4xfIrMx6J831fhAfJVPt7j HJOLSHsaYd9c7C1AHqTjz038i8Tf2/hfhHzMJD5Gww3vaSovR/+V9Z73QObt 9XSJBw24N5wHL2aR93vBk/3URRh4M5G6OUEfLkBdVwGvTlN3FcG1ddRlAmO+ EBlPb+Kj8m4sczMHuX6S/csZqyNvEfIboa8Ldf0Ze7Zhn8JzVddH8Wc1/h3H 37/UtRP4GEVdL9LdaxVOLuWerfrMQfr1C3BW3RM2gMO76W9O4PRJ+l+JKRLH K9MfjeA3B+ijv+kDleg3JfH/OP5PIq/8yKts6nUB886s72e/6lfpyP3F2Ih+ bYr+WtjznT6jeKwz9ofgj7pntcPfv/j/kHgsJj5+DobvAKpve8If/8J7rsAf 19L3reBT6+EFfRR/hDd4wMds4BXGZyVfuwPvyGD8jn/Z9NGm5I0FebOSeuwO HryH93ynPv1ZN4Jv+vL9TuK1jfP6gL5cRsVn22Gf4ruPsX8C/mzAvwr4Ox7/ C8AfFe9J1L2bKB65Fn7uB89cCH9fBw/ND7//DU+dDf+vwH1L3RM6wXOdGJ9j v+Jtmi4vTOEjk6m32eCYKTjWgv5Qlnkh1meyv5/CD+pA8XBL9D1E/xzsGcd4 DntLYL/y5yH+1cVfH/wPIh4fiU/PbYbvTOpe47tD3hefNJH3nl9u8j554Km8 F83hvnmRe9M97qNvuRd+Y1T3rWLYt5Zzf8S5Z1BP/amn0+BUJDil8D+P/nWY vnqBuTfrO9l/mO+VvG/If4K+Nej/yL3lIPaV4z6o7tnx+OOHfw/wtxv3whHc r024F27Qvcupe/bzfPL9osFaeQ+Pei/fN7KN5D196Xb5/vGWd5HbjHfRfxb9 MznXXM5V1X8A9RIGDvmAQwngux/4fpG++ZS+WRk+ot5/0lj3Zn8k369EnsK5 Eejrh35VR1uxbzP2HsT+zrxP9GD0532rKu8UPp9lPOwCZHyaljN8x1TvPrcq y/e08IXyXchrpXxvu+Ig340+MK7lPSkf8T3HuTXh3GpTD77UQyNwZiQ40xL8 zgG/T9MX68ELNsE3rsM3tsHjLjBfz7ot+9P4/inyeiE/AX2O6O+APXd4b1mG va+wvxDxiiF+t3gvi2HMDZLx8F8l45NYzfDdV71DOvLOm/hcvlN+YvRfIb/P XSy/X847XCfej5LI9/vk+2xw5BQ4kkG/ekr/ekHfW0PfM4NPWMMnbsBbz8LT fnIfuMH8POvl2f8XfrYWeTHID0TfIfSn8f7SOE7ap/GuVQr7O5Nnk8k7L+Jl 5i/9d+X9Nh/j8rOG7+T693Ez3bpJZcO4p5QyzOfXUYY4sVmHv/3bGva10M6G fOGRjoed0fHbP7p7w73hhvcx7a/hPfeu7n+SL20N32UOhxm+d7nuNXxHDDUx fJ81rWL47q3/X0iNi80GvwlrNLJls/Kdpz+5k9iq7cnLAdX8nrVuOj3179py 79pM/TO06upV160jfgVGtHvo29YrKF/XnAa1bY5NqK+9XhRic3H23GjTns9s VlxICZlW3NS264dnF0bZWNiquVpX+9X3Sp6Sr/Qp/coevX2J004kHS364ESJ zlN/7h9RXZv2d9urzlN7au8Dkx7ParNMO/W7ho+f+wGt4/26bQq5Z2nRO2vd 6PDkvTa4aOC1EzsKiY2jXSd63DYRExKr3lp3tZwIYe7Ieiz7p/P9fuQdC5Dy N/+S+ip2l/rbLZb26OMX2kWuH35s7bPdtZ82aF+FvGg3P+3Bwylpfe+kaM3s fi18lvVac1rqZdcyuYw45rH3VvDkhiIqL9Wy5DEhHu2t8fnpmG7ixdXFj1fu 6SWyme9j/ST73fi+C/J6PpLy66PvJPrtsUd/vha/pT/r2B8bVaej6Y2z2pUy jWqX7vRdO/7uyPl2hc2FcdPJDs6FuoiiLzeN6GcxQoxvWbmaqDlD7Hk0+Z97 fxeIk8XWWK809xK7mE9h3Zj9pnx/DHmhyI9D31j078Ieff615Hwt8G833xe3 +H7qW5uG4qGPz++4247C6MjSf2rNmyUeLdlW0+rGauFWt7ulQ9/NIrbThNCu NSJE+f3uHTbc2C32Mh/P+jP2l+b7j8irhPwY9LVFfz7s0dfHIfKlDedxAH/f Ie9VjZ8J7dstEA9DsztczNkgjJ5bWrWwiRXlXtXf2LBbkpidcq393janxYzP BW64tD4rZjKvxHpR9r/l+/fIe4b8c+jrj/472KOv3ynkdx/ypxjno+L3D/Lf jrg6osPGePHRwXPc13ZnRdr97b1sna6L8AsOlT4/yBQFM99le83JFjuYX2H9 K/s/8/175JkgvwT6JqK/P/bo8SWCetxHvhcgn55zXip+79C333NJRgenDJG4 I6HpqNZ3RY8vCYOWlH0g7g9vvER7/0D0ZH6c9cPsV/aWRN4H5BdB31P0r8Ae Pf71BD/iqE9VH+PIrzKc31Xicxj9mnMpk9Gdc8XBT7uj74Q/EImNBu52b3Bf JDJvz/oJ9qv4l0XeBOSPRF8G+ltijx6fN4F3V8CTHdTrPuphBvm2mfPsTLzi sKf6+8YhT4veFv3MbnlFNc4S5syPsN6d/SofVP7GI38L+r6hfxH26PvHDPD5 Lvh3HHypRP3Opj5+Zsj8u8v5HiF+fbDv/uiSWz6NuS6cmZ9k/Qn7Vf66I68c 8hPRV/ia1O+CPfr+pvrHNfzZjn/KXw9dPDXis494VSN+/bGvDnN1/r3Zv5Xv 3ZGnzmsz+n6g31MXT3X+Y8iH7eTHNPJlEvmj8EXVbwL5Zk3+RWNPDPE7wNye 9WPsv8b3JZGn8HcE+rLR31iXn6qeIqmvc9RbIervg67eFR4doH6VvR2I1y3O VzA/wvohXb0XQd4T5OdHXx76V+nqXeFTV/BqNPil8Ezh21Mdfn7W4afKhz/k bxhztf6F/V/5/h3yyiI/H/q80F9Kh58K72+D/x3oByfoD2/oFz/oH6+QX5B4 VND1o+nUh8IHhT/Gun70FnlK/kH0TUC/v64fqf7Zi35am/6aQr8tS/99jLyC +K/69VDyK5p6KEv9RjJX+feY/UX5/hXyKiJ/Pfp6oH9dgGF/V3xk1x/JT6x0 fOkC36fjbynOR/GfyeR/JPV6GnyJ1fGlUuyvoONLR5GfjL4F6M/R8SXF74Z2 k3wvFP53g/3P4Z+VOY+u5M9B8n0L9an6w33wN4P5TtYT2O/M94rPViV+ibFS 36A8qb9UZ0P++S+fXyD5czf46UX4dY8gGX/rPzJf/Mjv49TjFPAjGrxbBT7H MZ/B+nn27+b7l+SfB/lWlPuDQ1epf/pcQz7/f+V+tPFAyRzXU2VbnXap3Nl/ 7PcTKYzq94UuXwZdjSirzYmMyAxtX16rsrz9RD/h1Dp9XrfvLtVbarUb1Bm8 vl1DrVR/59uv/k5v86dV//rW/0zTJh4Mu+AVP0qbPaZ2vs5Go60Xvbm703lV uDbhkFtsql2gtvD7ozt3mzdv2yokddrwh6nar4nVpqdUTdAqXi20rsa1O21D AvZHv3/5RJvxT8MxWs0b2rLLR3L233KzuZd6aW1Zo9/attknLvp7P9asNu9d //zbaZvKi+vv7OVSXJh9e9xl8LG32lftWdryXwVtR/6sdcFzb1nxcu30yr/D P2jPB0YMHONc13YYv9dnv/q9DHLWIF/JeYneidij9G7AznqTpP3KTkf8aoO/ yq904jDzgIyPisOl1jJuwbVkPFXcLDxknF2iZfxVnH+4ynPp6yrPS52L1UDD 81OjWl+KnE2ca5zNO3vfoJZaITs5Hjj7sGtq3ixtzfBFs165ztCCVtx4Gfpw rzZ3b+8A6667NOfPRx3Knr+rbR/m+Hvn7hta/ZJpvrWLFBR3Emu0OjLvk2ay ttCHvctqiYmLdrvmtDcR4uOMkLClrUXr/fZ+n2vWFnXSexb5fL6TsLr65JFJ yUaiX/fmLQL+H3VnGtVj9PV9Q6ZMGUqZx0whs6LrFEUyz3PmzBEyRSpTKkNk SAkRMk+h0C8zGVMhQobMQ8bMnvu5z+f81/pd637W8/p+ddbVOWfv795n7+/e 5/xeVL6zcEx0nfn+u63owndN5iuzvgn7NeRNRn4Z9GWhvyV4joKvLnjz7JH4 12BP/WHSPl/sFfjBqbUcd+HfUbHGca/8v4pzus75KHkHkLdvQocpKeX3aW8Y Sx/Pur/P+ZmW0iZriH23x9ph7/gdMb5lxLb4s87THIuJH2Nt76SdbyXa2Qrh /rqhaP165IYKE/uIvtV//cns0kFMKxb/e1rt8aLleYPH2F/9xfRCr9zLd5gp Xn5IqbBmyUjxKizPhbZPfIVfjmkzh80e4iXfz5n3Zr09++cgbyjyHdA3EP35 xkk8u8F3Gby7wf/3mLTnIvZdZwzH/t/ETzF4wqaWMU+o+O5+SObBTeL/FnG2 nnNS+szw38NCP9y+97cQFxlvzu++0XxiO9EmoMHiRmsdhUODm3ErpnqIxjUu 1PDeMkzUmPTGJiXFX0y3jH/82nGm+OFT8vvM//t/aRPvdy/ht0R06pk04aPl FvHEPPHYsf2hovnN9rMvF9ku/vpnj73VKkw05fsR811Yn8z+38ibjfya6GuK /o7gcQTfPfDeB/8DRlPsi8PeSOwvRNxOwT8+B415VfFHPXgmEX7ZTvw3Iv5X cI7nOEcn8NwGj8fl7LORuePEGMa0ucE/m5YMFtuy97g0D10i5iS3ySk9d6so V2PQkwm1okTnYVEx+Z2PiPdVm6xa2nWP2LjCrEThuwYxNGCZn2e7I8Ihs/vc fYfOimX9H12ad/qoaMO3O/NRrP/E/m7Iq4r8+ejbj/5s8EwD33TGu+DXsCcF +w5gb1vsV3yQhX8W6OqQ4ucS8HhH+Ps6vFIfXmlCfvwjX5twzu04563gfQDe WedKlOpTZbuYzZhd2XTmp8CTYvzB6pcjFsWLZR6/+y4NThZtnR9da5hyXnTs 079yxrtbovuZa28G2lwTcXMXrcwsd1s0nTLkefWPN8QxvtV8J9Y7s38F8jyR /xp989Dvz5gFvsPg7Qx+O+z5g30dsdcB+/PGS3844580Xd1W9W8wdTKY+jgC vi4JX3eAd+zhnTnkj8pXFWdziYMx2KP898v7W7KZ9TXxm1Fz6Zp6Z98d8ele zwa/ytwWaTstCj+KfSA6r25RePWde8LQKKzy38uPxLvzA3uP6ZEpzvDdlfkM 1ueyvy3y8s2Q8tX4Dv3KvypOq4HXBvwLsMcF+3pgrwX2L8MfCfinrK7PUf3F ZPqQt/QfzamD9tTBuvD5XPhc8dJ3eOkl+dWV/FJxtpw4+Yy9yn8BKwYdDLzz 8D9j4qXde565ZYmGniOG3xqSJZrlm1PNZcP//b8JT4c06JglWvKt5pNYv5j9 gYzOyP+KvhW6uFf5r/ggz1yJ/wr2LMS+htjbGvvd8Ue1i9I/9rq+UPVv5vR5 VejvKtBfWNFf3KdOzqZOPoXvO8L3A+GtDfBWZ/LPjfxzJY5SiCMb/HESfzwa lTX/e2SmeMh4OmR1l1tNb4u/Cy+VO5CaIc7xnc38c0blT1vkpSNfxa2bji8U PsWzXcGfjT3zsS8Le8tj/yD80R3/HM817qNVf/yBPro//XNz+rbO9G2e9B9v 6T/yBMg62ow6uoJ6oOpDQ3jtELz2nPyMJz8/E2e2xNkv/GXAXxf9m0Scj0kR lxgvM55lPu8iub4V+78j74yOD47peLY1+JaDt5WuL/iMfTOwtzv298UfPvjn lO7eocYSxONQ1pXF/+2Rk8H5vEePOj+FQ9VZR3B24/yVH52Jj+PYqeKxEX7I JL6UH08xKj+q+DzD+IT1Kt8bIe8c8hXPqnql8Cg/DgFvC/Cr/MrBvifYq+4D 7vhD+XFPrvE9TcXlOvK9GHHbCD5Q94ZG8IUPcX8VPulGXryDbzaRN066Oqzq yTXyzgc+iycvjzNm4J8GKs6IUxW3Kv9Psf6UjidVXn9Dn6rr7cCzDnxvwKv6 1kvYo+xT9lZQeY0/BuGf1rp7reJJd+qPuud6Up/awrOdqV+L4WF/6tsf6oyq 14rHx1EfVZ3R12kHxnnYfxP76xNXKv8/kK8qjusxf4P1C9nviDxVt02o18t0 /ZDqWyuAV90HfLBnNvb1xN522B+CPwpRZ6rp3gFU3b5NP3SQuv6J/lH1PY3p p5zpC1rQb9Wmb4ilH1N9z1z6tZf0Hc8Z/+LPIOz7SNy4EjftyUfFB9nw3EG+ OzDfgfVqvzqvf8h/i743jKp/9AffIfAq/Kp/VPY1w95i2F+J/jED/wweb/xu ovpId/rz9vSZu+jfW9CHhtHfF+Wequ4zrvSxk7gfPKTPVf34fPCr+8xE4qIL caH66EjyrSs8puqVLfVB3WfUfATrVT+j+i19n6j0PwXPM0Yv8HbV3Rf/0oev x95W2J+KP8bgn0uHjd+Z1L0mmvtiOvee99yvXbkXxXPfvMK9Sd1HH3CvUvdV hc8FfPs4d2vO3VKXTx/gqc7wlOpH1P1a3Qub8D2IedVvvWW/klcR+Uqf0t8B PJ7gywDvQ8Zs7EnGvh3YWxP7W3C/zvNB+mfTAeN3OXXPHlpXvl+Ycw8P5X1j F/f057x/lOMeX4oxFf0n0d+Ec/3EuTYiX9R7j3pHmAkPnYXf1ftNFnVTvfeo fuQd3+qdYgbrz7Nfvfco+QJ96p3kN3gcwHcevOqdogj2FFR2YW8U9n/DHzb4 x7am8TumevcZz/tjPd6FvvHuto93o9OMZ5A/G/n3ObfJnFsi+WBPPvSAZ9T9 qj/8reqXejerRl1U72J96TfUu9lAvl8xX5v16t3MFXmDkF8Ffb3Q3w48seBz VnjBfxJ7/mHfDOxdwDiCd9iac6R/yscav/uqd8iCvPOa8U5ZnnEf75fN8K8J 75JJ6v2I/F8KHwTCI7XgkRTq1SL42YO6d4++QPVXReknKtOnqftAS/rfgXxX Z74065uy/xHyRiN/CfpS0a94X71j7QfvGfBXwp6NxN1f3mGHYv8f3renMJ7R vZPr38e36+ZNdX7/V8s4nnceMeaJenHG/LtC93vARl2/cE7Xh83U/Q5RfYXx vcFX97vGGd09d5vu/WDVBON3mZO6964Dh4zfEV3rGr/PGnS/96zt+z//rsDv SEf4XSmO35mO8rvTMX6HOs7vUvH8TpXA71YJ/I6VwO9aJ/id64T6VvNqvdqv 5Cn5Sp/Sr/Do8aXZFu/aMaSYps3cXbaLfy3NediITO35aG1S9+L2PyLWactv +jkcSz6tzX0X4O368YnmcXdodmjoL61wSNnaE6KKiRC/GV4mr81FlLfj1wvN rEQ43/WYX8n6M+y3R96nrlL+CXepr6Gf1L++lsSj9982Hzlv8HzV68rR8Zpv +YAZvvm3aOtntww+2u6WVsxx+dHlTr80p07B7U8uLS+KDUva/zmrsYi3Fdu6 z3IS8ydV6d7hQEfxaMoYk/rVughnvk8xn4f1/dhfVsmbI+VXQt+wyVJ/zbkS j/58TYZLe35byfURC+zqRoy+o03+llBh5dZC4vmiT48j2jQU33dtyj8hrKNI TDHMuNHOXYjyk1+cXjRejIqa/nl5paniVfSXkPL5pouOfHdn/gDrK++W+08i rzfyO6BvM3ir4F99/EV2k/43w75h7HdecHvZrydNxY7BHyL3NO8jDq7e8rtx 5iThNrLizBMB88TD7xudO75fJMb+cX/tNCdIeL/JG1PgRbCw5juN+ZqsP8L+ ZOSNQ/5w9Cn9I8Cjz4+rxMtNIc/jLvaeR176tpqDQqdMFcfX7XrUK3ChuGKI FoYly0Upvz2dk2xXimqTzo1/nj9EJN93CLnssFRM4bsI82dYf4r9n5F3Cvn5 F0t95YmHb+DR52/R9zK+KxE/1pxPKPZfRv7LnpGrSldbKUZe8tmyIDdQtK97 x7FU7a6GPDsGvD7yLdhwfl35gYOfrDLk2S6/7WvK+b2sP8D+h8hT52OJvoro TyDf9PySTj6+GCrj/SzxVILzysUfB9AXe/RC3ndvAgyzR5qXf1RoiyHna8/s APPthkJvvA61WbTdcIrvZsw3j5PrC16W+xORZ4P8ZPTVJd/Og0fPf2PgjwPk 50Di/ybx1Ynzm1JL+ucQ+oe7BASeqr/dkPBsRfvONhsMtmfWmFbaEmy4yXcG 84dZP72p3N8deS+R3wV9u9EvwKPn5y3wnT184ki+diAfihBvWTHyPC/iL8ts ief8xkYtXWutEWVm9N45b1uM+Bopv23A25D13sRDN08p799vKb8x+kagPx48 +voxB37+CP99gl/mkb8p5Ic98beU8511XvrvrrfE92x1zWO17h8Q4/kueU7O e7N+Ifs/Im8P8r+ir4aX1O8NHn19Gw/+MOzpin1h+PM0/lyKP23wz2D81QB/ xoLPjO8Y5i+z3oz9w5A3BfnV0bdP6df5U53/u2AZD4eIjxbEyy3ip56KJxsZ X9eIt0Tiz/WpxLMV/x0E3z/mVTxHdZH7TZF3D/lV0Hcd/ReDjeNT5dNq8us3 +b6F/DMjH2+Tny3J15Hkuzf69+CvG5zvXL6Dmf9Cvpdm/33k2SH/MPoqku/j dfmu+Gk0fNUC/vpIfdwOvx2F73bCf13hp3OtpX8KcJ4Dib+m5Msj8rsy6++x /xjyNiH/M/rmot9Zx5+K73/A/x+pR2WpD2epF/liZP04j/yr+OPrfHl+jYm3 dZkyPz7w/Yr5aNafZP9H6tFz5GdR/3pRj2x09UjVz3X0b/voj7ypt07U323I O4b9TTiv58RXD/LhAPnrzXc2831Yr/x3HHndkf/pq9Q3jPr+oYtxfVf9yKiB sj+JryD7lRcBsn+JAO9V7P3D+ZwmnmyJfyfytcxWyS8a3w7MH2K9iqeXyBuK /HT6JU/6pbihxv2S6u9Kr5D93stxsv9rAd6x+LcO52FL/JgR79fIz3HwSQXF f3yr+Uqs78n+E8TXb+Q3pZ9cQ//ZZqZx/6n65ToVZf/sFiLnSw+R9rTpIf0f QLwEE98zycdX8MdQ+G4z/OzF9zPmXVgfxP6uKVKeu+rfRkp9+eZJ/ZdsjPv5 /y33I+5zcYEPfldqtMlUc7wvR/X3suM90yokldFmpazqs71BMXUvPNp6bccR L7w6aVUjp1uHdHBS98dj47dd/vcvfJH2cE+dlWUazFP3zOMzpzzJCqlxUJu3 wNXq7JNodR+NLzg7uapPm3Rt7xFb97F7zqp7a3yPGAenhdEfNevyBb5sNGSq +21Cq2uL2jzLNhEVlrXzDPv9Tt2DE66V+dFmnSgtSk33OFiqRK66L59427pB +tV/5USpFYXDzZf9VPfqE2f4ux3r1d9TkPMvRMpXcrqgdz54lN4m4KwYJ/Er nC7YlRkg7VV2ncEPJrukf5QfPuC3JuHSn8pvq1ZJPx/PlP7/j5+ny3M5cEee lzqXwreNz0+Nat4xVcqZOEHuH2E/8vxdn67aldZyrBZWaYlDUrD2e/KlxWOO B2ptXoqYjoZE7dboReanKx7T+n3s1eDP9ddaUL12ZS9YP9biq5Y33fCruDhc IifN6mke4Tz4So6HY20xJ2fSke6ty4mJDTKnhhayFz2qxJ9v0rG22J197c+/ ZBfhUz16j+vMxmLU275FzfJ3Fv3Tm1yw/tJUDOF7DPPrWd+Z/SOQtxj5PdC3 Bf1XwHMKfMXBO9FD4h+FPV5TpH2fV0t7N7SS9u+0k2O9adI/ZpnGca/8b71R ntO1MHk+N/FXcfyXd27y3+J5T2svfOS4M6ve4ydWX7TQLZOa+jt+1MTybpHW xSqLCU5ri/RabCEeWLo2DL/jIO76Thte5l1TUaFGq8Fvl/YWyy5UyUn/5CpM mifPaBUzSnS5e6Nar7L9RB+vz739b0wWaxZc2RA4epiwjXxScceCacKyzVib 3KEjRBm+dzLfhvXd2F8EeTHIL4C+l+j/BJ6h4PMA7wjwn8CeJ9hnYKyJ/Z/x b+xq4netMU+o+D6xW+aBH/FvxTnFcE7j0XcIffXS6sc2d6gmLBmfPG+/Y2v1 9qLY+xs+AzzbiV/HCw6evWmESLjXfIjLmiHC72WJtQmx3qLurfZzihaaIvIU bGwyenaAeFmj1cuNNnNEst2f1TeiA8WcYpYpWwv6C5++boXf7goWvosuxGyf FSAW8j2L+TOsz2C/kmeN/PnoO47+fPEST03wZYG3AfibMBqwbyb2VsX+ofij dIz0T63dxryq+OMIvBoNvywg/q2Jf3fOcQjnWAU898Ez7W//Qg2fjxJejH7b TXrXPzxX/Mttvml16zniy1rLimbmQSKvW/knFQssESOs54Rc6bVSvB7VMaSo 7XKxoN/Lw5G7lgvHtqVqHO+/Urwafa6BjWWQOLS/Y8Re75WirIf8tmU+kvU5 7B+IvJyOUv439BX/LvX7g2ch+MIYn4HfAnsCsM8XexVfLcEfb/FPgYXGdUjx cwI8XgX+ngKvpMErWeTHW/JjK+f8jbgzBe9i8Obue3Rx84JgYbdfjrHbbgxZ lLlCdKmTcjbQZaXY2PLqkN3b54hWiR6ugbGLRe2M8mXt2/kZuniu3Jnny0Sx uMEX5yM3Qw31RJXEF/Wqivt8j50s50ewPpj9achzRH4G+uqh34LRG3zFwFs2 3jhvHmHfK+y9r+P5x7OkfxzijOu2qn9h1Mmq1Ec3+HoIfL1R8Rq8U4X8mUP+ FCHO3hIHQ7DnO/bcde5T/V2XSWJtezn69q8y5Fj6WsOjXabD/x0LNbyvWK53 wNpthvmxM2OuTN1ssMlMtiq7YbvhV2ynit6Hog2d+a7LfLVKcn0C+8sjz9xV yi+Bnp/odwbPJ/CVAK8v+OthjxX2bcHegdi/Bn8Mxj8TdX2O6i8C6HPc6D/q UAdnUgf7wud/m0k+Pw0vlYOXnpBfvcmvCOLEvJWMk0a7pb2v+kl7i8fsKbPu T4zBlHG8/Ycl5UKiDRU2THy1rnKMwbfr0a5X64YafPv1eVpmarTBn+/b4XK+ J+tzt8n92Yzd8WdH9JWxk/qLgacb+H6CtxL4k7CnBPWqP/aOxf4++GMA/pmu 6wtV/2ZNn2egv1P9xUb6i2jqZEvq5Az4PgO+t4a3kuGtz+RfFPnnQByVJY7+ 4Y+J+GPGREPxC6eGG4pNkGOtoT3zPE2LFheDfJr+GbBStOb75mQ5Hz9Jjq7s 74b/HxHXE9BX9K7U7wlfTAdfH/DmgH8S9lhj3y7s3Y79U/HHTfwzVNdHq/54 1XLZR7+jf/agb+tA31aI/qM6/YcXdXQVdXQv9SCb+tC/meS1q/BaoV0yPyeS n3OIs2XEmSf+qo+/Psx0e9kvdp9IZXzMWJR5A+tN2b8eeVWRnwkfRKM/sIvE U5t6tR68m8Hvgz1VsO9Pa2nvLOxfjD+y8U/EcuN7hxrXT5P+zddGrlP9cF/k rOZ8WqDHg/PbBQ57zvc9fkwkHidjxyjiowF2+hE/HfBDCPFYHD/1ZozEfxX4 7scYQVy6sL8e8rojvxv6TqL/HfFoix/bgTcE/P7Y44B9QdjbE/t34Y82+Md7 mvE9TcVlIve0j8StumesU/cG+KIvcf8QPlF5YTVa8s1U8uYWfHSavHKEr16Q d1/hM0fy8r2dHBt7Sf8o/14m7pKUvz3lfGn2zWSsBc+eR/536k8GvLIYPLN1 /VIS+LOxpxf2OWFvMPaH4I8CZaV/DunutYonZ6h6DY+q+9sYeDaM+vWTOlOb +pYPns6lb+sMj2vUx4PUmcrUz07UARfGpthfA96cQFyNJa5cyNepfHdgPi/r h7HfDHnDGVu6SH2D0G8HnsbgU/W6JPgrYc8P7FuJvZ7YvwN/tMU/36yM3wFU 3V7PO4Y7dT2Jfqk2dT+Ffqo0fcFZ+i1P+obf9Num62RfYUm/lkbfkcL4poO0 rwz2VSBOfxG39uTjfvLxATx3l++RzNckziqzP6OFlHcB+UrfM8aB4FH3AXP6 x0ngz8CeOtin7G2K/Vn4Yz7+8Txi/G6i+shq9OfP6DNH07/fpA/1or9/Sp9a kv4/D32sH/cDdW8IYCwN/nfgb0lcuBIXLuTbIvItHl7NgWfz9JL1oQ+81hee G8b6LexvhLyRuj4xH/oDwTNHd68xAb8V9rzEvt7Yewv7b+IPW+4p/XXvTOpe 836vvC+6c+95zDtOAPeiNdw3Pbk31eQ++o171XvGxeBT99nynLuPrl9X9+Gn 8NQ5eMoO/o+C/49RV/fxral7I+uLw8t5kWeC/KnoK4T+39y7AsH3BrwfGJ2w ZzP2tcfenznS/izu1628pH+u7zR+l1P37Och8v0iZLu8h8+bKt83+r+Q9/TB vH88Vu8ijIXRXw39JThXdX+MI19KkS/q3lCIfvcV/O4Mv6t3CDvq5iz6keZ8 T2O+g67emTc35u3a6EtCfxp4FL6R4K0O/hXYE8D4Hns9eafw5L0nknec9+uM 3zHVu8/xkqv/+z3tXIh8FyrbWL63lVor3400Rn/kT8G/ezi3MOLWg3zYSD5k wDPt4ZnV8Hd/+LsrdXE1dTGCfsODfqMofasX31uYD2V9e/aPRF4A8h3Qdxn9 hapJPNPBVx+8s8H/EH+15X0wjvfHFMblvMNuXSP9k5Rh/O6r3iHNrsl3Xs1X vlPWmS/HL03k/mHL5P6RXvJc3vN+tJj8Lw8f7IRHHOGR/fBzS/g5kro3mro3 nn4ik34rkD7tB/3uSPrf73yr+besn8X+fsjbivwp6DuF/kPwfh/w/QTvYPI1 aKu0J8BT2ueMv/bxnl11svRHYU85ttK9k+vfx/1uGs/v/Gns97FrjOPZar8x T/RfYMy/v3R1raTud4PDuj7sla6/TdXdGx5PM76P7Q4xvudesDJ+P0jS/Z5i tsj4vWvKLuN3RJutxu+zZneN372TMv4fvyukmVjUKN6/2bxlVYP6eB1o3naw r+nx2o9abD7SaYbmkt0yMzFyUsGs861qzM18IC7523U8FOuTYmppH2adc3rJ 5BD7QQvbjCuQ+tD+ef1Plg1vlmzt1evcB+tCVVurbzWv1qv9Sp6Sr/Qp/QqP Ht+FCLd1Lhs+OwQtbpjvzd/G2vKTdm8qxXhoZ6vYj+uQvl4b2qd6Z5MJZ7XC hUu4LHPL1g5+a+/7zyWPKG/d0TThYClRf++GHy8+VxB/z30t8NGxqqjFtznz h1hvwX5H5JkjPz5B6tu+VOpvv1Li0fuvzRI5vzLlr3Z57ARtwvQWjhXmRmuX /nncnrMkVavZ89uv5U/+aK2eFatde3AV4R+6Ojz5awtRrk6b1FBrV2E6omGp xH09RerFYmWCVvUR+fm2Yt6P9V3Z74i8vHnG/Lf8Vei7cFPqfxko8ejPN+qE tGcR66+IhN2L9t7VXHus87H0LCJicuakFivURPg19rEt7NtDrOm+uN76j2PE lehTjo1ezBQnU/f8bvDEX8yY3qXQ3nELRQLf15iPYH0g+zcirx7yD6EvGf2L 8a8+/rzx/xv814z9Ng3q5r32uKWI2dsgMmmpu5g4u+Awu5w54sD1FQ86/Vop oieEOq0/s0kETVn2YdeZ7cI5ysMmdm2sWML3TuaPsn4m++OQ1wb5NugrgX/d wKPPDw/ipRjnEY69h5BXY83TG11X+Ys15Ure9SgaKRZds/TZUvGAmBaXetUr 7YT4uyYtaOfDM+Lt+/7pZa+c+8/3DOYDWb+N/bWRtx/5W9HXDv0DwaPP39bE dzXiZwHnMwn7NyL/b/X1UcXrHRG19/rPLJp2TmyO+nR8sttNMaLw8Pe9FqWJ Bl9zfS3+potRfG9hvj7rC9SQ+3cgbzbyA9A3AP2lwaPnl8Pk41TiPZR4Osx5 LcYftdDnlPeOu51Fqig1wnf/gBH3xI95309H5H0oXEvYlSpx/6H4xbc58x1Z 35D9S5CXgPz16ItAfzR49PxnBX9YkJ+Xif8Y4ms657cJ/5RA/9txq9bun/VI 1H+/83nGr4ci5vtkqzYpD0RTvr8wr/Cq/SpediH/HPoaoL8YePT83Ay++zNc 8slx8nUp+fCDeBvCeX7CXzbgcS/T8nj0wgxh3c/Cfkyz22Ik37bM/2T9SPb/ QV4g8o+irzx8ZgEeff3If17y8yX4byr80p78zSE/rIm/dpzvFvxXDXy1GwdV a1vg1n/w7mS+K+sbsf8d8lyQPxl9j9H/mXqhr281wJ8Pe+Kxbxn25lkr7R+M P97hnzr4axD+q6nzZxPmf7N+OPt/4s/FyD+Cvgror6Dzpzr/ysSDGfFxg3jZ TfzM1MVnceLtEfFXEzwb8J+KVxW/ZVmv+METeZuRn4S+Jqq+6eJT5ZOq16oe qnoTr8v3Orp8V3g/4i8nzlf524z59qy3Yb/i3yPIX4G+NejfqMt3xU+V4CsB f/nCZ946/vwNf9ZDXxT+Gcp51ib+VHyo+bo6/tyOvBnI90HfePT/LmTMn4rv x8L/dakHqp4foF7YUD82I38B/lB8peJN5Yf69vp/1KNayDuM/A3o64v++rp6 pOrnW+ppOvXdmXrbhPobjTwPVZ85LxVfC8kHxQ8BfG9jXp2vqm97kNca+TXR Z0Z9t9XV9//0p/RLR1Q/R//Smf17sXcu5xOu65dOkK9z4JdTfF9nPpr1C9kf hTw75D9EXxr6T+v6JdXfVQyS/V4h+r8LrE/Ev9acRz3ix4d4Nyc/Vb95Xdd/ qvlZrNfYXwt5v5E/QvWT6I/S9Z+qXz4UJvvnJ8y74986VaX/o1T8km9Hyceq 8EcT+M6UeuHGd13mz7G+G/unI28V56v6XzP8dVzXz/9vuR/55t6ss+Fm4eZ+ 7ea89jhw5pRfPzmqv6/3yGrtUq6adm995QYep6poF7sW3fCvYucWk9aOrb9z XndtfrMR3V3addAqOjp0/DnPo2Xs+X8Du2Qs0v7u6zY8sdJcbXW/K7NS5w9s 1dgs1nbZ00Pay7vzasdd36a5He7+rEzZOnYxD/KalfS/o1kf8Lp27PV5rYbr pbeOJ1Ps8u3taHZpzhetQPvNW31mZmmNPqU+LenW197i6J0u4WOLiF0/F3p4 nv2oTd66eXSl8vH2385cfV30t4Xwyvv3zrVvv7RfI/OX3uD1037tqezm065U Fjm+h9et0vKISZVfj1r4snzrUP4+hvXq7z+RE458Jacyek3Ao/SagLMG+BXO NOwKw15lVy/8kL1X+kf5we6C9FsJW+lP5bcKa6SfIyOl/5Wf242T57J5rDwv dS5JXsbnp0Y1b8M5/uNcLY+XLj4zuofWl7Fu8IQMy5QQLa6X7cq945dqXYpv /2a/NUlrmnniyWv7eO3GlBWf83x8q1V7njX79KYnWrL/0Bbhg0uJss3m5tc6 5Bc/r7Xp2bxsA1ExMntle+uKou3x6w1z/ZyEXYe8C2/tbyBiiwbXnZW/m/C3 Lng/p2hLYZXZvNvY5b2Fk2F98oXt9sKC71nMb2Z9S/YL5FVHvtJXCf3XwdMK fBfBOxv8jbBncm9p3zzsNT0m7XdjLIh/f0YYx73yv1kTeU6VyQML5DVDXi97 1+Dync5okxlvTcsY3rLfV21T1fvHtvf7pFWe7v/u+4RqolRqr13TLluJfu93 ui5c1E60K/jvzov6dqJx/4524664C/chAaP95/QQObaDm82K9hLeywe+upYw XDRYVrXDk1q+oqn2O/xvxnjh+zxtlFPkAhEpTKpMvuwp5vFty3wj1qv9X5A3 CvlN0dcD/UPBYwa+2uBdAf407HHFPifGTdi/FX90JX7TGxnzhIrvMfDEd3ij L+fUiXMKRN9t9HWaeu1o5Zwawplx5vp6L3+mdBF9y2Yuun++o2g5zWtr+mFP 4d3sn/XTtmNE2rd/z8aMXyxqrLy3a0w9X9Gm4c7IsGLrRdm4Pau6/A0RZ4r0 arx01VYxv/+fyHNN1wirLf/sd1/eKdxfPJlgarJelON7HvNnWV+O/QJ59ZB/ B32z0O8MnsHgCwBvF/B3Y8zCvmDsbYb9q/HHYPjhy15jXlX88RWecYVfzIn/ OOI/P+dYk3McBB5f8Eze75U7e62XmMJY++PFhNxFK4V/kpshptQy8UFLrtKz 3HZRLsH61ZfRW8SbP9ENbO/Gid7Pfs1a0H6/qOrv6pq2LUksKZLa3OK//n68 9Ri3553PCe1E496+fY//53sR89VY35/975FXAflf0BeM/sbgmQk+NS4A/1Ds aYh95bD3GvY74o/R+OeWrg4pfh4Cjx+Bv/80lbyieM6e/BhEfkzjnB04Z1/w 1gfvL780d//7O8UfxuduhfL/Kpoo4ucfeR1T5oTwXzPdom9asogzL29o3ueC eLh97LMHR2+JK8umFbLqdk0suTV845eYdHGpTDevlS9v/Of7GvOPWH+U/QuR dwr5b9GX31/qL8DYAHyh4HUDvx/2DME+F+y9jf1N4NnL+OfffuO6rerfPxdZ Jz/tkfXRVMfXfeAdW3hH5Y/KVwviIIc4OI49yn818radP6jjtf+Mw39GjltU +Y64e8c0/8bodJGcEtGg6O5McaZk2Jhg03ui+Z2jG1IPPRSFq/ep12vcfdGC 7wvM32D9Q/aPQZ4N8tX4Af2J4FFxWhG8j8DfEnscsW8o9ua9Lu3vhD+q0D88 cDHuc1R/sZ4+pBr9hy11UKMOTtTxuQW85AAvddPl1xHiJIA4Uf5S/tve70jR +xcfiB2MJ5wSrarsfyQ6PrTLrXn0kahvOvrXjvoPxbj889tk7HkkGvLdnfkk 1u9m/15G5c9M9C1Bv8LzDnyKD5zBb4k9P7DPC3sdsd9D9QX4x1fXF6r+zYM+ T/V3U3T9RQ3qZBPqpD98b4Dv/eCtKvDWBfLvPvl3iji6SBy54Y94/PFyyf1e jZZmiueM8ZPL3O5ocUeMWnvy2+7G98QJvt8w/47RwH7l36vIP4e+LPRfBU9l 8C0Gr6pXAdhjh30NsHc79kfgjypnpX8cdH206o9f0Uer/rkxfVsZ+ral9B+q HxlKHVV1VVAPjlEPkuC1AHgtD/nZkPz0IM7qEGfD8dcx/DXsU+NDppVTxQjd qPw7lvWN2D8ReS2Rb4o+xauXwXNUV78qgn8Y9vhjXyj2qj52JP44jn/SdPcO NfbGv2Gs88L/pZGj4tEPPer8KoBDnW88OC9z/guwI4H4aICdLsSPNX54Rnwd wU9xjMN1/ovXxaWtLt/tkK/icTH6k8ETB76F4C0Pfj/sCcA+G+wth/1R+CMJ /7TR3dNUXKp72nfyujF8oPJ6EnzRnLi3gk/Okxe9dP2L4qMH5NUd+OosebcJ PjtIXh5mzMI/yr9DibvafL9g/iTrExl3Iu8a8hU/qj5A9QWVwNcDvEngN8ee Ztg3GXtVXo/DH9XJa1/dvVbxZB7utRXgUXV/c4Jn+1K/fsLDjalvbeFp1Rd+ gMcTqI+L4Xlr6ucw6sBQxs3Yfw772xFXKm6Hka/qW82fZ30M+0cibxRjA/Sp fkjVa9W3WoJX1ck62PMZ+wZhbzvs74I/NPxzx8X4HUDV7bL0jyWo61b0S7n0 Pc3ppwR9gQ/9VgZ9w0L6sU/0FX/pG1/Td7xkrIt9qn9UcZpJ3CSSj4pX88Fz /nyfYF7Vr9vsV31BPeS/QZ8aC9I/fgXfCvAq/POxpzX2OWCvsr8N/qiBf97u N343UX3kc/rz8/SZtejfU+hDC9Pfj6BPHUj/70QfO5X7gepzVT+eF/zqPnNS 9cnEhT7fFK+qenVWVx8u6eruYV0/Y0C+8pcJ+huCx5bRG7ydwD8EewZjnwn2 Kvt74Y/X+Ken7p1J3WuK7Zf3xZbce9y4T2ZxL4rivlmPe5O6lwZyr1L3K4XP EXxLOffbnLvKJ4186gNPnYanFuj4vw111YLvAOYVr6l7pbpfl0f+XfQFoV+d 93TwqfvsEvUugD0NsE/dry9gfyT+mIh/Lune5f7zTtFYvl84cg9vz/tGE+7p 7Xj/yOYe/5ixPfqrot+Nc+3FuU4hXxrr7kGf4KFS8Lt6v/Glbs7X9VeqT1Dv FLasV/u/IU/xXEv0TUV/f/D0A19d8PYE/z3sSWfsjr2tsT9Svffgn7hGxu+Y 6t1n5yb5nlaTd6HrR+V72xPejV4xKvn1kb+Xc/vOuVUmH26QD+qe+hueUfct Vb+m6epiI/qN8vQbEfRxlfhuxvxu1k9nvwvyRiK/BPc5N/TfB496N7sK3jDw 98QeT+xbjr27GBfx/uiHfwJ1777qHdJvknznDR8r3ymDGIey3539LTiXhpyL NfFej3ivAI8chkfKwM+/uberPsCKuqfecX/Qb82nT1tNn+ZI/6vuB/OY/8t6 R/arPqM88r+hzwz9ivcbgK8reCeBvxj25MO+ethbFvtb8H77Br8kzTZ+J9e/ j2/2MJ7fHGHs98gmxvFc+IAxT3TLMObf4brfAyx1vxsc0fVhi3X9beH5xveG KN197KTunltX9ztJoO73lKoZxu9dPrrfZwxNjN9nx280fvd2HP8//67A70hH +F0pjt+ZjvK70zF+hzrO71Lx/E6VwO9WCfyOlcDvWif4neuE+lbzar3ar+Qp +Uqf0q/w6PE9CU88HLTJUmvbL+3T3KvtNL+Lr5O7FZin9e0w91Mzt13aSffr qSF3UrTLTSv0Hpmao13NLVMydn5BcbD+8K22VSzElbsx0yLGVxXdxxWrGXOg ujDwvYv5BNYHsT8aefuQP/K81Gc6UOpPCpN49P7b1VfOj3r9xH98X3/Nvfyo n1GljmhheSOXzjvxRGsS983jd2ghEVx95K2c7jXFozDbZ6XL2YmBcdcrnCrf QdQtbjLj9tjuYuHnE+lTRvcULnx3Zf4G67eyfzDyBiG/QAWpr9Urqb/EIIlH f77LLkh7IsH3fEv+ioOtX2qXE5d49X1dRqz4+dJxbUpzkR1yfP7mad1F4P5+ jQJzhovYW6ciCl6cJBq1j53uETdNvC5uFdYq2Fs05Xsx82tYf5f9vshLQX4i +lqAd+Q5iUcff8fx/3jsu87+thFv8p0u2UYk2kwwvWY6UDR/d/1CgeVTxD6n f/cnefiKHqY+t0bPWCRuLql57k7VpWKO+9Kvf5sHic98uzKfwXpn9q9DXh/k H0PfVvSfAo8+P24SL3k4jznYuxx5No1s2q/7N03cqTbt9RSXhSK6w7qSVoVD xKUhXSruMw0RaVFNbpw3XyKqromzPea2UFTfJL9nMn+P9dnsN0XeYeT3R19v 9PcFjz5/VX7MJX5ecj7tsP8m8s+XymjfKzdE1F7X+mKrkgvFtNVmE0pMGWEI v/DtefcBwYbQF55Fdj0ONSScl9+7Vsn5P6zPX1ruf4g8F+Rnou8k+veCR88v B8nHO8R7CPF0ifN6iz/GK3x5bzx6s2CB4VCX5mmbjkUZ6pY6uaVR5FbD9fg9 SV6/thrumcnvgK5y/nA+uX4n+28hLxP5Sl8a+o+DR89/yfCHC/kZSPx3I75y OT/bMOmfQPA1uf3O8uGRrYZGEbtTL9utN9Rt2H/3vUnBBosN8jsv85md5fqQ ZXL/HOQNQP5a9A1F/1nw6Pk5Db5zgk/syVeVH2WJvzEX5XkOx39v1ks8Zjb3 6veLWykW9LC6tX9ItPCuL7/DwVuO9dWJj68bpbxDyHdBXy/0XwaPvn50hJ+9 4b/T8Is3+dstTObHj5cy/komyPPdayP95w6+k9dbjTZN2it68P0W/1ZhfSP2 5yffgpGfjr7x6HcGj76+JYO/FfbUxb5j2PsF+w/jz0H4Jzdc+ssH/y0E3xm+ g5m3YP1w9jfhfFYgvw/6GqP/j86f6vyPEA+9iY/JxMt44uca8ZRnhYwvb+LT kfiL4nx/1pP+2wu+k+lyfjjrz4XK/XbuUl5X5O9EXw/0/9TFp8qnOPLrIvkW Qf59Ih//kp9jyNe25G8o+hvjr3DyfRffOcx3zS/Xj2D/PuQZkL8IfdfQf0iX 74qfPsNXQfBXKnzWCn57ofgZ/juDvmErpX8CyI+/8Kc157sd/sxivR/8m4W8 psh/hb6F6P+t40/F99PhfztdPVpLvShB/TAg/zf+uEc8vCN+TckPP75vMv+Q 9XfZXxJ5Qcifib4e6F+rq0eqfm5zlfXUjfqq+oNe1N8tyGuA/Xc4r9HE133y IZb8XcX3ZDXPenU+q5E3Gfkv0Dcd/eGuxvVd9SM/6JdO0y9Vipb9yyX2h2Bv MuezgnhaQPw3Jl+vwy8t+Fbz21j/iP1TkXcW+c/ol9zol4bq+iXV363sL/u9 KfR/UeANxr7u6jyIH9VP9iU/u8En0+G/tnx3Zv6wyk/2d0PeXuQ3Bt+Vl1L/ rsHG/afql6tGyf55Ff38Sfr5yfRX8cSL6g8Ok48n4Y+T8F1t+PkR3zeZf8H6 p+z3Rt4Z5JfEf7ZDpP5iK437+f8t9yPuc3FhJrVvjEu11Nrkk6P6e+CZ9n7h WypreT46JBRzLqDuhUctxy71LrlurHZpoKdVyK4R6v54zHely6HL69ZpScUr bap+Y7m6Zx4PCpza4WqJM9qSg9Yr5sYcVvfR+FLT6ge/mPdU+1o4tUXcilvq 3hpfYFXleZWW/tH6RIR3b/3hpbrfJnyNuDT8+iwz0WrojF3jY76re3DCeLv1 fYbEVRAJbxpmfB2eT3BfTvhrmRBX+Vk18eNSxvSl303UvfpEWSv59zmsV39f iZwGyFdynqG3F3iU3jrgnA1+hdMVu1pir7LLHT+MLiH9o/zQLFT67Ud/6U/l t1Ue0s9+P6T/lZ/vXpXnkpNXnpc6lzDd+alRzQ9LlXLMzsv9zp2t/1lGjNdO d5LjqB47xryO26TZns0z+8CPCK1cw/Qihbff1Comx/2dYXlZm3asyL3Olt81 Q+Vi7Xpc/6D927rrWevkcuL078Vna70sKnzNB7XclWYrXPd2bhV0vJo4X619 obZbnMTeFm9u2123FeYuK3Z5uXQWCyybTvX0aCW2/3QrU/JSD2FSKKDfmdWt xQ6+5zBfivUH2Z+EPGfke6LvNfrfgOca+A6B9/1lif90A2lPwXPSvvCe0l5X N2l/Hsb+16R/sn4bx73yf8lB8pzakgcu+CsA/5Vf8bVYrU23tFaMfeatyZeb nlcUca9xpq7JP23SwcH/gi5bi0emT8Yk+VUTBVP8c7cUcRbTTRYWDDvVWqQm F23W3XaA8Nu9p++8vN3F/h+zW1ZIGiP+bni6cbfJYLG91txRH4K9RMkrWxt6 dBgpxn2b/i3Q3FsEtaxibTF8tPDm+1+ynN/H+l9qP/ICkf8YfbPRbwqeVPB1 Aa8G/snY82m5tO8l4yH8uQb/tiJ+i/Q35gkV37vgia3wRi7nlJ+4K42+YehL LnL4a/dXdcUnRrM+xd/kPdZZDM1yLRu4oKO493bbrgLrRwuzwj6tchcPF9PK DVkZXXGmsA16/rp6tJcI++n8tdjiAHHt9+8RfoN8REqrqqUiDiwRn6sU7HvX yV8cLjSwzZ+iQeLJIIu3j5YEiCS+3zJ/hPVP2L8ceQ7I90GfBfrTwTMCfGXB mw7+DMaZ2FcIe28Tp1XIu1Pwg00JY179D48ekjzjCb94Ef+exP89zrEb59gV PFXAc6/BvOLmX8eIx4z5duTt3HvnPDExek7b1OE+oufLNJeStwJFj8EH/fzd F4t6Vk/3FrBaJkZfsK69MC1YWFg3/RPyYKnY+P5g15vVlok8Q4rFl6m4SJhZ 3cnu+yNEVOP7AvNOrB/FfgfkuSE/DH0e6K8Jnofgy2C0Ar8P9vTCvivYuwj7 m1SR/hiKf54eMK5Dip+vwuOF4e+D8MpXeGUG+fHvpswPS845k3MeCV5T8LqP KDT63aulwo7xyFbv82u6B4u6x33y/u0cIv7Mrtv5RdGpQus24ZJ23l8c/Bnu WczR33A6rGE79/uDxM88i9r1+7rSYNrwaNzcWn0NkXxPXiXnA3/I9b+6yv1X 5kh505Afgz5X9PdirAy+ueC9BH5r7DEn/0di73vs/4Y/puGfObq6repfG+pk EepjB/h6Cnw9F965De+0I38mkT99iYMFxEF77BmPPefnTJg4b95gUW+WHB+O yPpWxWGNYfsFZ/N5T1caTE6OC6/eP9rQa5qPSa9TGw23g3aVjS62zfBw+n7/ 76c3G1bzXWS6nL94Qq63uSj3Vxgp5a1B/rDZcjyM/vHgGQ0+hXc2+AX2PMO+ 5dg7A/t744+G+MdH1+eo/mIgfchn+o8t1MGT1MFc+Hw3fK54yQdeWkJ+2ZFf Bl2cROKvcOx91adMm44Ltxr+MO6P6OKy9cBmQ/WtvUdlpUUbgjqEWNSJWGlY Xnt4+r/IzYbhfDsxf5H1j9lfpq8c8440Pp9x6DcQ96bgGwrecPA/xZ6t2Fck Qtp7FfuP4I/3qj/T9YWqfwunz5tIfzeF/sKG/uIvdXIHdfIrfL8Xvj8Ab/2u JXlr6UqZf/XJVyviqDBx9z1a+iMRfxwZMTT2WFdPQzBjo1aJLkdWbxJhz7MG /U4LFKP5ns180mg57mG/Of5NIU6DiOtn6C+6VuKpCq9uBu9W8H9T9Q378tM3 NMb+UPyxCf8s1fXRqj/Ooo+2on/+UVD2bVvp25bSf7jTf3yljm6mjv6ylPVg ymBZD27bSF5zyit57RX5eZr8DCDOzhNn9i+kv+bgr4xKQ7euuL1LXGTMZczP /GjW32d/V+RlI/8K+l7DqwcbSzz5qVcFqV+rFH7sUf1WFPbGYL8lfWwV/JP/ svG9Q41h+Lcw63zx/zbkqPPphx51fmvB4c/53sKP0Svk+Y/Bj+eJj0TstCZ+ duCHOyNlfPXGT9MZk/GfM99OjNHEpfJjWeR9Qf5a9KXhx82hEs8P8B0Bbzj4 X2PPKOwzw17V/3vij2L4J99b43uaisuS5Psi4nYffGBKXH/U9csZ8Mk+8mIM fONC3rSAjxaSV8nw1Vfy7i28dom8/MY4AP8cwD9HyGsHvocwf5j1qxjLwo/P kW9O/flHXX8HX7+Bd1S/dRb857EnGvuKw489sH8n/uiLfyJ091rFk+2pP7nw qEZ9UnXGm/p1FB7WqG+Kp8dQ/9rA40HUx8bwvOtcWT8HUgcqM5bD/nTsr0pc HSGuVpKvBr5bMp/I+iq6+vKBPuAd9ToE/RPA0xt87VWfqevfj2HfQuyNw/6h +KNqpPSPk+4dQNXtbPqhr6Gyrq+hXwqg7o+ln3pDX2BFvzWDvmEm/dgU+goH +jU/+o69jJkzpH2bse8CcfqGuMlHPdpNPibDc43gB226cf14yf4OyLOi7/FG XzhjPfCMA9948PqBvwj2XFJ9D/b6Yf9J/JGGf5oXMX43UX1kLd5NxtNnvuc+ k0Mfqu6lBehT1f3qCn3sTe4H1elzrRjbgH8J+HsSF22Ji87kfwX4YCJ99it4 zKmJrA8m1Ic18Jw56/OxfyLyXJEfou4z6P+z3RhXJngfgH8i9pTGvpvY+wz7 C3GfUX24q+6dSd1ripjJ+2IF7j0buV9Hcy/qxH3TjXvTXe6jFtyrSjE+At9F 8A3n3Odw7h3Ip63kUz94KgmeioL/98P/X+kDYvjeqOtXXNm/BXmtkb8UfV7o V/frt+D70VviNQW3ul93xz437E3E/vP4oy7+2VfS+F1O3bPn8s7Zknv4cd57 XnFP/837xzju8eMZH6PfHf19ONef3B/LkS8PyBc7eEj181fh9yPwew51czp1 8zv9yHBdn7CN9Y9UfdDxdgr6yqI/P3E2DHxDwPsT/HOwZy7jX+x9iP37eO95 i38a694x1btP1mveH8fId6FdvLct593Ii7Eh72Z/kF+Dc4vg3O6SD5/JhxHw zER4Rr2bXYa/39IHWFEX/9Dvr6PfWEMft4XvQvQj5VhflLqaiLww5C9An3o3 +w2eW+ALAW8Z8Kt4KYB9T7G3TC85Tu0o/RE2WvrHtqBm9O6r3iFHFZLvvDt5 n89KkqMt77jB+FcjTo/wvlae96RVxHsqvNocHsmEn+txL21P3XtFX3CAfmIN /UQ4fZq6D9Sn/1V9bRDzq1iv3nE/IM8R+a+pB4noHwGe4vDcGPBag/8qcRZA 3C3GX6b4b9Zt6Q+/O3Lsncf4nVz/Pu5Y0Hje75nxe/vJQcbxvKK4MU+s1fFv qO73gFG6fkHo+rBZut8hnup+r9iju48N091zd+jeD77r3mUq6X53MdO9Ix7t Z/w+62epGb17r/9r/T/+ruBZwuPPjevdmj3JDsi5kxjT/L5TgM/H8LQWmSv6 LOhTLbPl0P51mhZ+f7JVhMP+vgMWzrQb8rfF58QrJe2vxkQcXHstwP5oO7+7 H4an2dfs3mhN3yIFWufGv/o8vol5a/Wt5tV6tV/JU/KVPqVf4dHj22M951RA nzJa61TrS9oeV21/h6Xjq7X01ToGnmh/c/keLSwkdV2djFQteFXF/dW3f9aK TTpSKfZWUdGi4N5uz09VFKW+tfxQoJi1CK9Qbmrb0XVFYb5bMV+c9WvY74u8 mCVS/on2Ut/INKm/Ri2JR++/VcxfPn2/zgvHAM3MKzxodXKcNmNpqOWtAc+0 67ETtsQ6FhUZpdpU1OLqiuqXNlS5NslJrBpz/5hhbA+xofKr4Dc1B4rHgZnt u2cPEWv5XsN8Dda/YP9T5MUiPx/6MtD/CX/pz9cb/72fIteHpEwf4fPhlfa6 2u9Bkz9aiOcnvu0z+LQRYft/frvyu7/Idcs7/mHqZFFya/e6qR19xcjHmW8S iy0WQy3LdS77KVAM47sU879ZH8X+m8i7j3wv9HUGrz3+1cffNfy/AftS2T9w 4awGNda3FVW/xuX2KDtaTG7y5O22f37Cvduo1esqhYmKU2qnnDaNFk7euZ/P OsWK/q+e7mjUcI9w5LsK86NY783+hsgbjfwM9B1A/3vw6PPDj3g5x3lcwt4G yPN96H48O3mRSHlWae7i0pvFjLCI0u98DopTBzwWbqt3SizbcCXMZuxZsSip 78bpbc+LEL5PMz+X9XfY74+8usi/g7736Fd49Pm7nvi+Qfyo852E/beQvyGt w/PpoXHiXtzNfYXdzovq2z6XKN7qpthYc05S1QZpouKdW9vbhKSLKL5rMZ/F +i3sz0Ce8m+4iif0Kzx6filMPlYk3j8RT8M5r9n44y76qhoGNc1/+5bo2atl /ajoDPF0vXf2xBIPRM8JJ2r0efpAPOe7L/O1Wf+I/cq/45D/A33N0J8HPHr+ aw9/rCQ/VX5UJr6SOL8a+Kcb+rssn+wjFj4UWZOWFCsx8qGo/HjnAIdZ/4WT 797M92e9NftVvFRFfhH0bUa/I3j0/Kz4bzl8MpR8VfkQSLyt4Twz8dcz8Azr 32rPq+wMccsiPl9mqTtiJN8KbzbrVTwEIU/ln9J3EP0FwKOvH9vg5zvw3wD4 ZSD5G0h+lCH+3Djf8vjvKvhGPwy++NgrVaTyXZ353qyvxH6Vb4OQ3wN9nxX/ gkdf30qAP0znT2fsVfm7Fn/cxT8P8Ncg/Hdd588XzL9gfQT7lyBPndcQnT+L 6/ypzr8D8bBKF581iZ+zxFNN4qsr8eZI/N0HjyX+e8x3Z+b7sL6GLj4V/+ZD 3zb0t9TFp8qnguSXqm8fyb+x5OMs8vM++VqF/FV47+Gvjpxvmsp/hU+X7zOR p/hE6WuM/t8TjfNd8dNG+ErV31Xw2TQdf4bDf5noU/5Zx3maE39hfKv5Bzr+ vIu8qchfhr4f6F+u40/F94vg/wzqgaoPNtSLQOpHKvIVn57h/BYTb4vJD/V9 8v9Tj1S9S0WfyS6pf7KuHqn62Yv+bR31VfUfw6i/tZE3AftHcl4ViC9NV9/t dfVdrVf9gbLfXVffY9D/QFffVT8ynn7pGf3SevqXbPZnY686nz//n35plK5f yttJrlf1UZ3Xc+RvRZ89/VLDDsb9kurvouk/39L/mbM+CPseEg8pxE9l4j2U /FwDnzyE/8L5DmO+EuufsT8deRHIf4p/TqN/ha7/VP2yZW3ZP9++JecnYY89 8bCfeNlEfFvAD53hj9Lw3W74uRrfvZmvyPpj7N+IvNbIH4M+/3Spf5+un//f cj8ac+twr51j8zSfbjHm+KqQfNqysnJUfx/Uc8Woo4WaaK6Vk79bDGmgjXn/ 5XD+dW1bBO/pG5LfdayW6ePmY5c2XBu7p8jGt4lDWm55YXBpcipca+aSYdpl 9UqtQ/2dz64t6tHq3BCPGf4fzmrHWhkuzHsfp7WIPnDzz50qdu1i3pVbMOC5 9vPi7wUnmqZr3ntvmcydftHOdtvSB0Hv8opVAbGxT/e9026GtSnlPKeL/ZDy ad3OmZgLt8VLHQvN/6vdaZYQ7Bx+wN4qutveDQOqi8LWd6uO61dIjAzvZuIx 96N92dxVUb3q1xFPioyJqvDIVLh/LpWn8JVSrcvw99+15Hr190rIaYV8JWcM epeBR+ltDs7v4Fc4R2BXAPYqu97jh/XO0j/KDyn47eEc6U/lN1P8fKOS9L/y 8z3O5SDnps7lvIXx+f1nZP455xjP/kI3p53t3mS8No1x953UiOIDtmhHK+bv 8H1llFZ6jNvay99TtL9BOWd7d72ixU76Otm61y+tQnLr3X/fftSafyg0t2Tv SmLeyaHTbK+ZiTVdp5o82NpCXM1y7V8j1VpccV1gc/NER+Fd5rZr7tsW4tSb jQ2H/ewjRhfa+s6ui5O4+HXwj4CoweLP0anV7txqJ87yPYz5eNZPZ7+Sdw35 69C3EP2twGMDvijwtguW+PNjz1fs24W9f29I+9vgh2T8s7iicdwr/68m7jXO Zz/y9iMvNrb2ddvcVO0oo91C5xEPzE1EerVVuzLH5BXrj2bN/BdhIzwPeG/8 sqaWmO918HByWmfh5Fh7gV/1dqJAw9f7Xpn8V51dt7FR2Ln+IqyT08v7l2aI gc+sSq7+MkZErA2K87seIHr/shr+JcZLODTwdA8oHijMDLddTxafLlrz3ZP5 jaxX+9cibzXyTdDXCf1B4BkDvs3gvQR+R+yJwb51jInYP6yS9Ecd/OM9x5gn VHzvIQ/2E/8NOaeynNMJ9Nmjb65VcPXDnW3FdMZRTba9GTqnj3hc8cel60k9 xYPRfTzK/pf9s/d8bV4n11M8TzzRNMcpWDS7nHlsUVqA+PisSGa/WxGi1MMH F972CRV+V2cWWJsTIxIiz7rcPbFeOGdXyTk2ZLcYY7aoULfkCNGW7+PM+7K+ NPu/Ia8V8l+hbz76H4PnJfgmg9cH/Gpsj32XsTcf9nfHH5YvpX/OOBvzquKP IHjmHfxiQfwHEv/9dOf4FDzjwdP5jEm7GRdmiO6MtqaDh2SsWS3WxC7I82Vo qHhdaIcYtWKnCI7xjfmwbatoXexv4bfimOjgE5q5Ls9B4XXmivs+x9MiYlT2 OjvHY2LxbMf5vpfPiaW7Jk7anxAvlvCt5qey3o39TsgLRf5H9EWgvw14+oGv P+MU8Cv/7sS+idi7B/sF/viEf4J0dUjx8y94vCf8PQVeqQ+v2JEfC8mPmZxz Jue8CrzNwRtyY8rOARN3i1DGBe7Otw71M4jPofcebZh0UhRI/NpImFwRzne2 +I48eUEUe9+k77J5t0TEzqYxHoOvCY+msw6csEsXq3IuRpvfuCFG863mS7Le lf1FkPcL+UHoC0P/WsZW4NsI3mfgX4o9Kv+dsdcJ+8Pwx1T881hXt1X9m0ud rE19PANfr4avfXW8Y0f+qHwNIQ7eEgefsGch9kyI/tW/Zr9rYhJj0qkejRzX 3xYli2wccqVFuojMnr+/+cX7oukns14J3TPEnZwB17smPBDD4osO3b3+nrjL d3PmN7G+LPsvIM8b+dMZl6P/B3jeg2+VilvwC+wpgX0rsTcK+1/hDxf8M0fX 56j+wok+ZBz9xwTq4CXqYA/4PBw+V7ykeK49+aWRX22Jk0LESQnsTcTeYv1X DnyQnimKMlbb5Xu14KOHYlBVEz/7qw/FOqdikYVOPxCb19ZZv/HBQ7GB72HM 12S9GftLMyp/lkKfKfo7gMcBfIoPfoO/DPZEYt8A7E3B/mX4wwf/tNL1hap/ y0NfaEF/N4j+QvUjnaiTUdTJk/D9XPh+Hbw1Bd5aQ/4VJf9siKO1xNFg/FEF fySvm/wtZmKmuMSYGJZ0e1PqHeFUfue2sbPuiTN8X2H+OqPy53DkRSFfxW0J 9EeCZzL4IsEbAP5E7InGvu7Yewb7Z+GPhvgnp5ZxH63643T6aAv656/0bUn0 bfnpP1Q/oupoO+poEPVgIfUgCF5zh9f6kZ83yM9I4mw1cabhr5P46/bYIzHP RqeJO4wZjEnMt2d9JPu3IS8D+cPRp3g2FDyLwBcIXhfwj1N9AfYVxl7Vx5of k/5ojH8u6+4davyOf9X9ZAj+P4McN85HoOcU56dwbNDV2XWc/3DsUPF4DTt7 Ez+h+OEc8ZWAn5Q/0/Gfge/TjFdZH6nL9wwdjyo/rgfPIl3dV/hVfik/9sDe S9iv4rEp/vmuu6epuGxMvpcnbqfAByeIa8WPm4l7c/hkAXnRUde/uMBHxcmr 4vDVavLOBD6zIC/LMZ7GP8q/DsSditvLzFdnvRqLI28j8hU/Kv2qL5gEPlfw +un6UGVfX+xVeb0afzTBP/V191rFk17UH1Vn1P3qKjw7X9UveFijvuXC08uo fwIe/0J9LAzPT6Z+qjpjYFT+XIP9Kk5V3K4lX6/y3Yt5tb4I+88g75yubhdE v6rXbcC3HLxfwK/6D3UvCsLe69j/Gn/4qzqsewdQdTubfqgNdT2AfimMut+K fqo4fYEf/dYb+oa19GOq71lOv7aYvkONU7DPRFfHi+nq0TDysT88p3i2LvNF dHGu+tFpyF+KPtVHrgPPB11//hr8C7CnKPY5Ym849q/FH87455Hu3UT1kavp z0fRZ9ahf9foQ4fR3y+jT31G/59FH9uT+4Hqc9W4CvzqPpNLXKi4bU++qTq6 Tsdjql6p+rWaeU/Wt2O/kvcT+Z/Qtwb99uBR95q+4M0G/yvsCca+4djbEvvd 1P0O/3TSvTOpe40J73APuPdU5j65n3vRTe6bMdyb5nEfnca9yotR3bsegS9c d+4qn76STx11PBUO/6v7taqrTnyr/mo+6xXPqfv1CuSrPNmAfnXefcDnCd7p jL7YE4t9V7FX2d8Tf/zEPwbdu5y6Z6fz3pPOO8U53nusuKfv5f1D3eOdGGeh fwP673OuszlXb/KlgO4epN57Sqr+F35X7xCqLxhLP6K+45lX7z1m7F+HPCW/ EPrU/XUBeNS7wHbwzge/eu9pw3gIe4tjfyXeezLxT3Uf43dM9e5jwftjbd6F CvDetod3owOM8Tr56t0snnNT72bqvU+9mymeXQZ/34C/1b3BQF3sqes3StLH Xee7t64/HsT+W8gLRf4W9LVFfyfweIBvN3hvgL8G9pzXvZddYZyIP0biHzfd u696h1xhKd95l/JOWZPxOPvXsz+ZOD3AudQg3p8S7zXgkR7wyFz42QZ+vkLd G0XdU++w6r3dgz7Nkj4tD/2v+lbzVVk/m/3qPV3Jb4A+P/Sr9/P64HsEXhvw J2HPCex7vVvae4p3XKte0h/qHTfK3PidXP8+/kT3jt67grHfP+viuZGLMU88 0fFvtUvGde2wrl8YrevDLK2N+9vfuntDdd3vGmN199yjuveD2peM32Xu6t67 iut+n0nW/Y5Tqarxu/fv/8fvCvyOdITfleL4nekovzsd43eo4/wuFc/vVAn8 bpXA71gJ/K51gt+5TqhvNa/Wq/1KnpKv9Cn9Co8eX/sfVpd6fK2lPRz40na6 g7u2bO6g3PHzV2q33rS7dVQ7oeUtkLDNbFCWllF3lG2bq7+0Q96bfj5sW0qk 9Fg1xLFWVWHZZ5ODY4fa4kb3geN/OtYT+fl+yfwJ1lvVk/vzIS8P8ovPk/oc +kv9BfOU/288ev8tHCLnr14csu7+n9Vas4HXb1jMPK95HEnusLvAR+3Zz4rv rkWXFlZJm2Zs+G4j1nwp/H3LGkdRbmT40b4mXUSxE2Mj2+brLfyCLn4o1LKv KM13S+ZjWF+K/dnIi0X+2gFS389LUn9CP4lHf74FsWcP65tHrmzS8tpXLWz4 4qL9F1UWLXLrdns52kFEBA9Mu1ylt9hTqPE7Z59R4sns1W/O2U0R6TeXDVv4 fLpYbfK6m822GeIS3x+Yj2H9cfYXRt5y5NdD31v0X+M89fH35LX0fyT29WB/ R7ep8UGL24rHn6o96BbpLp4XXPf1/R0vUbjigY7vT/iKEdOFyd9TC8Vtp/sv LaOXCBPTkVm5EwNFnrbyeyLzfyvI9Y/Z3+ezlKfkr0LfavSPJx70+XHARMZL 4V/yPF5+k/Z2Rd7iZg7nVtTyFhvfbL/5N3GBSJ7X1rpS5FIxK6Tj3mMugaJg lPmAe3kWiB2185750NZP1N8ov4suk/MNfOX6buzfhrzKyLfGvybozwWPPn9n kh91iZ8FnE+6sh/5k2o9r1I9Z6lYeNUnva2Zn9hXq0/lBU3HG/KdduiV6xtk uJFnaVzkk5WGZ3z/qSrnF1yR6yPYr+Q9QP4+9Nmivxj5pueXPeTjFuI9iniq xfkG479R6OtsNtvRO3aBwXrssrdHMyIMOTu3bVqwdIth9rp6+1be/68xVn6f HSPnL5eQ69OT5f4c5BVH/k70xaJf8YOe/17AH9bk5zfifybx5cD5/sV/luB7 MLD/5aHRWwwt380+V3zaWsOL4Q7b2r4OMgx8L78bDpLzb1ifZS33b0VeO+R/ RJ+G/vw9JR49P3/tLfnuX4Lkk1Ty9T35sYP4e895fsB/vcDzOW9w++WVgkRu 2YHZMb+ihFc++f0Z/OPw7yn2byN+h5Fvj9FXHD4rAP/q60eeHpKfV8J/a+GX 8uRvszoyP0oTfzacr8MI6b8f5hLfqnsfo0y+xYo6FvL7+lA5P4D1ZdkfQL6Z I38I+qLQbw4efX2rCn4T7LmPfd/xp8rfqknSH03wzy/8OQ3/xYHXgu8nzCv/ D8Gfb5HXB3/eQ19F9OfT+VOd/2fiswvx8Yl4WUz8hKp4qivj6wrxdpv4jON8 q+DfEeCzIj6/s351dbl/EfL8kP8Ufe3R/6SHcXyqfNpBfu0g35aRf5/h517k 5xjy/XRJmb8z0D8A/+7lfN34fkm+dyPfL7D/DPIsyfej6NuL/ou6fFf8pPqL LvBXLHx2H34bCt+NhP+6oe9iNemfsmfkec7KK+OvH9/+8MMc1l9mfz/kZSF/ Nfrs0f+grjF/Kr5/Af//oj/4Rj1qS71Q9WM08jPxhzn1Jpt4y0d+WMEPVzjf dNZPYn808rogvwr1qDL16I+uHqn6aU49vUZ9VfW2M/V3GPJuYX8O8eBGfFmT D0eKyPytz/cU5t+xPpP9Hsirjvxw9AWg31JX31U/MpF+qTz9Shf6F0/2F8Xe GM5nH/H0nfh/SL7Ogl8e8a3yUcW72l8deVuR3wt9sei/Os+4X1L9XUv60xuX Zf8XxfpD2PeTeChI/IQR77XJz6/UhyBd/9mZ+SjWq/qdg7zJyF+Kvjf0n0F9 jftP1S/f/iv7+XN95Lzqr4vh/y/ESz76g2TyMRf+qAzfVYafi/D9lXnFJ8/J D1P6+RTkq/NsPEDqP5LPuJ//33I/4j4Xtzx5kNXImFLavCtyVH8fWT4u9v1m Z+1mFQfndcMc1b3waJ7EGocazJ+rPdi9+477eG91fzxWq/Fwp7K1YrU1bk+W jcu7Wd0zj4/tHnstp0WK9rjZw7iP/86o+2j8y5zZRbuF5GhVe6+f3bJJlrq3 xm+6eiXQ066QcHv1Y/Ngxy/qfpsQX6PaGM8FlqJT955fH1TOL7gHJ4SOmzAl J7uGKOVf/NOqS0XVfTkh51+/rxairqgROvCWqWdJda8+kc3fq7Fe/T0QOd2Q r+TcR68Aj9K7E5w9wK9wZmDXT+xVdh3GDwc6Sv8oPyyylX4rv1f6U/mtnUH6 uUpF6X/l5ygLeS6RaZwX5/Im3fj8/jMyf666lDODcw1K8eg9I81XW3hLjrOP xZ9M8TqorTCsDDTZvk+LqHPySdXtj7QJW21mn7a7q7UrcvF7y/P5xbf6L5NH pv/UMks4HLsYWk3k92jjNXekuZjaJ9Jk2/MWolnctBZ7utYVJucTe72Nai92 5L4p0ftOC5HRfkTo1Bk9xP+h7k/Dcu6i/n9cSIZUKPM8lMxc0ejcMg8ZQ5ll loiMGSukkjmRzLOUeUiG0zwkSkiKoigzmWX6Xf97v/Z1HH2O7338H9+P9vFp 773We6291nutvc8HnW077PT2ym3EieAp60+t6CfKzg5sOqpYW3GI78vMZ7J+ G/srIa8+8gPQVwz9GeAxaiTxVQJvPPg/YE/KOWnfjxPS3pt3pf029+R4Af8e qFww7pX/p0fLc9p4Vp7PH+RNw3+Ddgb/jb7wVNed0bb4r377TxiLHMu7Lfyd SgjdiC4Xhps3E5tWzouq6WgtLhQ7EHt4ZhdhW2XxR5umbYXNzqQ3nbYPER5N L+qvrHYVgVt9z1ac7CmaGThuMXMbLs4mt6tS9L6POFbWcdjizNEio1KRl3m2 M0TK35rZliXGiVy+dzJ/i/UN2B+MvEnIr4m+1ui/A54V4OsEXj347bBnKvZ5 MJbDflfix5v4vRhdkCdUfEeRB0nE/2XOKY5z2oK+uuj7+OlI+0rVW4jbjBMX 675vOd5brPM9UdXhZk8RZqMv9KflOHFgQs8OfQ1HiUmVjh69U2GWeO/hcjw4 20eUf1Pv3MvOAWK0Uc7AyoXnCvfP980tQwLFwzYxtW809xdNZiwd2b5PkJja bm5OeZcA0ZTvFOYns74z+5siLw/589B3DP0h4IkC3yLw5oD/MWMT7EvH3njs P44/EvBPGQ2vKv6oAs+cgV9qEP/liP8BnGNvznEHeKaBZ/FIwztmEZ5iM+PZ 2FMvL5X5//0foueFLYvMFSEXSk6wH7tEfOh/6MzqOYtFg6PFN2c/DhYNL2bW DgkIFqmVygSWS1osatd49MTrebDISfx4Y0cJf6Gzsx96cMa/fSzf9Zg/y3pb 9jdEXhU3Kd8DfZHoPwSeSPBFMAaCfzv2tMW+COxtg/1W+GMX/knQ1CHFz2mu ksd/wd9m8Mo1eKUq+fGY/IjmnOdwzkHgPQneLivqj8tuGSRmMWY5Pdm3edwS 0XvWqo+VwoNE+X2u4/1ujBGetw5Xmxk9R1hez22y4oS/fuiQHmtaVm8pIl3c RyRZrNTvrDD7+r1rI/U3+T4wWc4H3ZDrV92W+wOR56vkt5b6PNE/lPGc5nzX gv8g9jzAvvbY+xT7K+GPwnnSP46auq3qnyV1ch/1UdWDyfC1O7yjeO4F+TOf /EknzkYSB22xpyr2nJtz0fjSCFuRMFOOA9wMuztfXqN3HOnewr34Sn2hAx/j M6dt1af26qMfZxip35RVwvrBy236+7V3Go+136zX8x3E/N8Yuf7bCLm/GfI2 zJPy2/vIMZ/z6wqeqeAzJG4Xg1/Z0wD7vLA3FPud8cdR/NNf0+eo/qIrfYjq PzZTB42og5bw+V743B1eqgkvVSO/7MivXcTZ/j0yTvrgr0rYG6SruynaZ5ve lbHshK2j0ptv1tuUMVzrnbNVv964y0S7Vyv0Has2W51pvlkvSvPNfGHWz2d/ D8bByM/Bv7P3Sv1dwdMGfJXAWxX8M7BnAfa1xN562B+NP7Lwz1xNX6j6N2v6 vJn0dxfoL57SX+ylTl6mTt6C72fC95XgrV/w1uaRMv/akn/ziaMnxJEd/sjz lP7Y4rzG4Pi2qfr+7eRY8UqC21LXDeLJ1zSzPrMCxIjL8vsE6+YyWuHPUcir TVxvQl9r9JuMkXhMKkt8X6pLvF7gf4A9d7BP9QWvsP8h/vDHPx00fbTqj53o o1/QP5egbztO33ae/uMr/cdI6mhb6mgX6sEH6kFbeG0jvBZCft4kP6cRZ2WI u8X4ayr+MmswPFnfbo9ox1iV8QPzM1lvq/Yjbxfy36FvG/ozwRMFvvng1YF/ Gvb8wb5Y7I3G/ur4o2wh9//xj5Pm3qHG9vg3Bz+exv+XkLON83mHnuecXz1w qDqrB+fZ8fL8VX0YQny8xc66xM99/HCyrYyvq/gpjNEd/23g+7LyI/G4n/2K D3Ygfxj6stEfNF3i6Qq+CuBVcfAMe1Sfquy9iP2p+MMQP9bT3NNUXLqR7ypu t8AH74nrevDFTeJ+GnzSnbzIuyD55iN5LeCj+eTVQPjxJ3k9Ez5rS16aM5bA P93hw5rfZNyl469j+HsS60czdkZeffI6C378Qx+QBp6f4CsLP3qDX9mTjH1N sDcN+8/jj0P4p4vmXqt4shj15zU8qupTBXh2GPVrOTz8jvpWB57+Sb12hMcF 9bEePP9njKyfqq6219SbN/i3N3G1m7gaRb4e57sT88pf7dm/A3mzGXtQr5eh vxd4OoPvG3irg1/ZsxT7xmBvdey3xR9p+Ge05h1A1e3S9EOXqevW9Eve1P16 9FPN6Av20W+Np2+YQT/mTl+ho19rQN+TSv+hnyHtc8E+QZz2IG6TyMdq3WU+ Vqsjec6U77PMe7BeT9y50D/a01+1Rm83xsHgmQ0+X/D6gv8w9jTGvhbYuwL7 a6p+Gv8Ya95NVB+5h/5cvQ9VpH/PoQ+dTX+fRZ+6kf5/DX3sTu4Hx+hz1TgE /F7gDyEuPIiLM+TbO/Jt6CjJY9PhsXXUh3F8jxkm5w2pu+Hs74i8bsj3Rt8w 9N8BTwKjuncFgX8P9qRi3xrsVe8bdvjDmD78ouadSd1rZnC/fsC9J537ZG3u RdHcN3tyb3rNfdSPe1Uwo7pvRYAvRHPuBvS/ig8qwFO+8NRv+pFa8P8w6mpL vg2pD6rfsmC/6mNLIt8HfcvQvxk8y8G3HryrGVOwpwv2PcVedS9Mxh9X8M8z zbucumdvPCDfL4ZwDw/gvaedtbynh/P+0Zh7vAWj8qcL+rdyrlc5173kS3Xy 5SU85A8PDYTfT8Hvj6ib6dTNCfQjL/lO1PR5HuwPQd4H5NdFn9L/DDxh4FN4 M8Gv3l9qMy7C3mzeKY7gj5b4x/tAwXdM9e5Tlfe0VbwLDeG9bR/vcIcYg5Ff DP8e4tyqcW5LyIcn5ENLeGYBPDMV/rZQ/E1dVP3uOfqNC/Qb8fRxl/nezvxH 1luxvy7yhiN/Dvoaa+7JC8HnDN4n4Ff2+GneyyoyrsQfBuelf65WLvjuq94h nR7Id96eFeQ7ZSjvlZXuy/0N2f+DcxnBueRq4r0yPJIBz/4YLfl5DfzclLp3 j7oXQT8xnX4ilj4tlz7WmP73L98XmV/K+h3sf4y8Fsg/hr5q1IcP6v0FfCHg DQH/ZOy5hH3OxNNG3nHH4I+XFnJsllLwnVz7Pt4mueB8UY3frTTv8rc0PHFL w78emro2VtMvzNP0YTM0/e1gzb3BSXMfG6G559pq3g8sNO8yfzXvXaGad8Ts mILvs1erFnz39kn9f/+ucKVK8Yjjph1szhdfl1kxYWPLBo7WEa0632xldKdM Yq+tybZ506Ny0qyO2l0valdjf11v+76TP9+IKW3oMGlR3qDVObMcWvyNnlbq T7xDZPg+z9PpPx2qNf2nSu2yxo7qW82r9Wq/kqfkK31Kv8KjxVcnfH9uzabW ujH1KiYU7TBc52LYMCb02ird+9MHyltYnNPpSr433R+fpdvZ43Ij2z+FREoJ 96Lt/f6N5NiQ9y1bWYqncXOvbVrfTEReudWtzOcW4hHfDZlPZf0h9tsjzwP5 /6AvCP0t1ko8Wv/tYH7urzWBc3eu1bU49TvBc9Q13fKT0/b5dv2ke7rPfFDD X+XFk1m9WsXc+EfUXV/+zqBKXcSUz/FfW35zEzPm3O48N8hDNH/RpqH505HC h+/JzDdg/TP2v0LeIeQXQ184+heDR3u+bthTnvXDLf07Vl/zXVfBa8DxlwZ1 xKqWM2Lzy3cQV2oMC8/8OVwMSis/55XbNHHmU3BM37AAce+W76HgCSHCokvG 3Wr7lonbfJ9lfgTrE9i/EHklkD8UfQ3Q3ww82vhbhv8jsc+I/Qu++Nqb1usm wu6dm9f1xgTxwajcrq8XFom0nZ1zd7RdJ16cSurbosZO4bL1fPviEfvFrDPf Zn8JPyC68/2a+aes/8b+w8gLQb4x+o6i/zx4tPnRlnhJ5jzmYG8U8owa+OlD WoaI0Khen1uZbhfOn586DTtzRJyo83r1rT7nxLSrTX3bPbwkzL6fapm57Yrw 4fss8x1Zv5L9pZG3B/lL0fcD/e3Ao83fPcR3KvFzlfNR/luK/Jdjo38Wv3tC bC5ytFf7vVfE9H5mU9rXTBIDzS+1/fDgrvCoUrhjfM37YhDfM5nfwfoP7F+F vB/Iv46+9+g/Dh4tvzwkH6sS727EUybnpfwXib6Rpx+uvrM2WayqPd505OdU oXMqWbm7zSORGXzdq7PhYyH4Dmd+Euu3sL8T8p4jfyj6WqM/CTxa/msOf4wn P08T/yq+4tT54p/l6N/1Mj30yd7HYs+r23d73H8sHGv/mNe81mMRzXcU82Gs n8F+JU/Jj0VfIPoVHi0/K/6bCJ8kkq9dyIcpxJsr52mLv3aBZ+slu3fOzdPE 2z2Oew0SHogdfCu8TqwfzH4lrzfyk9Dnh/7Hio819WMn/NwA/isFv8wlf8uS HwOIvxTO1xb/vQHfyZyK384cuCc+8d2O+SzWj2C/CfKUfEP0OaFf4dHWN60/ k7Gvl8af/fBHc/yzBX9F4L93Gn9GMd+W9QPYPwl5PZEfr/HnU40/1fnbEg/e xIfi5w/EzzniaSrxFUK8RRB/m8DTAv/t5HsH86s08XkceS+RfxR9i9DfSBOf Kp/SyC8r8k3Vm2fkoyA/FR+NIn8V3n/wl4qHpnyvZN6T9dvZr/gjA/nu6LNH /21Nvit+OgFfZWr48zP8FgLf5Wr4U/mnL+fpTvz14Vvxg+KjPA1/fkH+BaUP /VEa/lR83wn+z6UeLNTUI3PqxzLkt8UfZzg/b+LNmPxQ36pedfpf6tEB5Aeg zyhK6rfR1CNVPxOop3uor+bU2yXU313Ie4P96ryeEV+Kv2aQv9009f0x69+z fz/yFiK/FPpOoX+ppr6rfmQ2/Ulh+pXJ9C+l2R+KvZc4n2H/f/qlFL5Pa/ql G+wPRp4F8meizwn9QzX9kurvbtHvzaP/s2L9Tux7STykED91iHcv8tMLPmmm 6T+nM1+P9dnsf448dX5F0ReJfldN/6n65Q30z5HM22BPEv53I14OEN+PyUd7 +OMFfBcNP7/muzXzT1h/nv2uyHuE/JHo+4L+YE0//3/lfvQ2+0CJJ3FfbHJL X6xcxLmczspEjurv9S88KHK1XmfdhscHngYmtNPF9E+86LLZrlXpoBZJy+7P 0205cav5u6IzdCkRLp8bHnG1vd/F61uhW/t1nSJuf3gWv003f+Eq/TybTnb5 n+IN9TPv6moe65C2cMUVXbuTWYtuWFjY39r04vanlE+6xsMaxnT4J1t3pl6V K3tN9fZdOxw2KLm9tCj7+aZ1luMPXfXcUxePL2rnkNcnzrD64ppi6xSbEQtT iovcc0Hnxc9dDqNKzJx/9X1D8dHp0fbbS8uKWUYrjUrUz3Xo6TLRvWS1FuJV ueMf3jW2EBWaeuU0WGnk6MLfP7Be/X0IcjYjX8n5ht4y4FF6O4FTB36F8yF2 FcNeZZflZ+mHhPXSP8oP5/CbLf5Ufvu8RPp5Jv5XfjbhXBZxXupcepoWPD81 qnmHDClHx/7lR6/Xn9PUT7ef0ayF4+allY7qVof/c+FJ0iHdhCIn4u/ueqpz KRm/YUiJdN3nmPoZR+ONRPuqtrdCH//Vlf39onxfOyvRM3z5gqDxVYTZjM87 mx1qIz58ndP99+zm4ueXbL+RRn1EnYEblgcntRELE1592Jw4RPTtU66kp76z KNI8wPpg5ZHi07I7XsVquIjCfLswP4/1Ndmfjzwlvxz6eqO/HHh6g+8peAPB 74k9gdj3tbm0dyP2xzJWwz/XHxWMe+X/LpyTEXkwH3nl8N/8uUNMVh7J1oUw TjrzcV1MrzKiRrvX9UycTURSo2a6+l9bCuMDn6tbP2omds3qZN7wn74izME3 JTSgmwiq+OJS5KIJYvC18O6rz/9bD9Ynlk32nivGFC832KCit8ivMdza5HKg GBx1rve+ITNE1c9Lu404GCq2VxE9Otv6isp8D2BerR/H/pHI80B+MPq2oX8f eIzA9wC8JcE/AXuWYF8AYyns344/quKf4RqeUPH9iTy4RPyP45y8OKcvbaW+ ieir0HbK9YBsO1Ga0W+eRc7p8UPE6WUez4JfDBA2tkaOl3S+In/XdZvApKmi e6OfnzJrrhQxK2pOnpMQKA4btbn2Y/EWEWm10OG6bZgYO+nF3PJN94o7g+a9 P+GwUbzetveR1+UYMe7pHxE1f8t/34nMj2e92n8KeceR3xN9P9HvCJ7L4FsN 3krgV6OKDzP8Own7Q/HHO/xTVMOrij/KwTNV4JdGxP894v93jDzHZM7xPHiC wVMifGbVc9PmitKMDwr/Grg8Kly0LL+o/gnnMLHzk3HtOU+jRMempieS4neJ Bk+/P1q4IFYUy9h8qHWbI6J+0LJwi8sXxMsnItvKL1Z06vVgeWrjKyI2LcJn 06e4/75fMK/Wl2R/M+T1RP5+9DmhPws8lcBXkTEM/NewJ0OTV9+w3wd/1Mc/ FTV1SPFzQ3j8JvztCK+YwCtLyI8o8uMr59ySc7YBbxp4i00qZjsyKUaUZMwI GjL/u/15MS2iQqGKG84K7wFOqfdq3hR7pt236WF8TZgN3jytZ7tkEbrs7o3F A26JMUf7TWh6954Y8Try6sh9iWIs32relPXR7J+KvDnIf4o+M/SrMRN8yr8C /Aa7pT0x2BeJvZWxfwL+eIl/7DR1W9U/I+qkM/UxF742ha/7wTtL4J2jmvzp TBzsIg6Uv5T/yjQbPOhI31uiLGPVLo5X7KqkiMdWQe1XJN0TJxK+N2qdnyYO L3m8J2hPqti+ym5iRPq/9+fpuT5FHj0UO/g+xvxp1mexvzbyqiC/EmMW+n3B sxd8Km77gj8Oe1Zh31DsrYz9Rb5JfwzFPyU1fY7qLzbSh3yl/6hCHfxGHRwM n4+GzzfAS0fgJUPyqxH5peJsMnHyCHurYO8Xn/VHM3+l/zd2bJRfxq12hjjh 2mZN7I/HomRucxE78LEotKVuvxW1Mv77jmO+G+vz2f+TUfnzKfqmoT8KPApf cfCeBf9m7PHEvlHY+xf7W+IPQ1fpnwhNX6j6tzf0eQPo7zrQX/jRX/SmTv6g Tqp6MBq+z4a3rOCtQPKvNPm3nzg6Rhwdxx/KfxX1j6Zf6vJIWDB2FAYB2ZNT RaPyXUo0jE4Tnfmuwnw1xq7sV/49iXwVt1q+ULyqeNYT/Pexp3BNaZ/qC4Kx fwL+WIB/3mj6aNUf59JH96B/zqFvM6BvC6f/UP3IeOroK+poHPWgA/VgILw2 HF5bS35GkJ/5m2WcFSPOGuCvdvjL4m2r6F9+90UFxoqMnZhvwXoT9hchblX+ b0Wf4tnh4FH4ToH3HfgnYk8d7NuAvaqPNVku/TEC/7zW3DvU+Bb/dmedikfl xz6avi6Z83sDjheaOhvE+XtgRxTxEY6dB4mfwvihLPHVFj85M5bHfx341sal MftPI28n8k+gT9WnYPC019T99+C/hz3Vsc8de4th/0T84YF/8jT3NBWX6h44 iLitCh8sJq6Hwhe/yest8IkXeWEE31iTN4ofjcmrh/DVQfLuHXzmSF62ZjTF P39zpH+siTtD/FVe5T3rOzN+R57Ka8WPKq/3gqce+BSfjwP/Ruz5g30e2Kvu Wa2UP/DPOs29VvGkqtfqnvuGeq141o365QUPx1Lf4uBpVa8bw+OqXqs6o+p0 JVVXGd9i/yHsjyau1hNXn8l/9a3m1frP7K+OvBqauq30q3qt+tau4D0O/mPY MwL7BmGvur8WpV6XoM78/lTwHUDVbQf6IRfquou6l1L3Q+inVtIXqHtKL/oG 1W/voK8wol97Qt+h+h8L7JuEfenEjapHKv8VH6yD54bxvZf5kqxXfYDqRytq +h01lgWP6nscwavw/8aeUOxbib3m2D8Vf0zAP3U07yaqjyxDf67eUTrRv1ek DzWgvz9An3qJ/t+OPrYM94NH9LmPGUuBX/l3BnGh+g/Vj1iSb4pXVT0YQH1Q vLaYebV+N/tVHsxGfjT6VP/9FDzqXlMBvDrwq/uM6sMNsdcc+wPxx3f88+1o wXcmda8x5r5Yg3vPXM07jgn3zYfcm6pyH13DvWqVuq+CzwF8Dpy76te7kE/H yCcjDU89g//VfVrdC9X3c+bVetUHnkSeC/JVnKm4U3gswKdwRzAqe9S90BR7 P2L/Vvxhi39ua97l1D07g/eLq9zDZ/C+MUvd03n/mM493ouxPPrVvTuWc93O uX4hX7T3IA94aB38/hV+v0XdVH2BeqeowXcS8z9ZH8F+9d6j5C9Fn9Kv3nvU u0A6eKuDfzL2eDOuxd5p2L8Ff6Thn2DNO6Z690niHbMs70KRvLcZ825UUr0/ Il+9A1Xg3L5wbiXJBzPyYS08o94f1X3rD/w9mroYSF0crOk31LtZCb4HMr+U 9erdzeCrlDcM+VXQtw79tcFTUvP+UBn887FnA/aVxd7KjHfxx3D8U1Tz7qve IX/x7tuNd8rajAfYb8D+NZxLMuei8r8q8e4CjyTAI6petYOf39MHfKIvUO+w bvQTvejT1H3gC/eB3nz3Z3406y3Z/x156h1XvaP3Rf8D8PRQvA/e2eCPx54A 7HvOO/ky5T/8UZdxvOadXPs+7qyZX6/x+zJNPNtEFOSJTpp3fhdNXbPW/G5w SdOHlWhdsL81NC94bzBqXfA+dlZzz62neT/oo3mXcdG8dzXSvCPe0bzPVs4o +O498n/5XWHUBj87A7MOx4LtH3TwS9h4PKR0zPL1nW+eCL/f5NCarcknG0zx OVCj/tHYZjOe5lWu533qm3/tET9KG8Z56mdffp0zK25F+NNhXn/i49ZfTJ9S 49HPuPGBcc8DyxqfVt9qXq1X+5U8JV/pU/oVHi2+nymzT8/o56S7fru67yBr H525mZW5+bxtupFvBwetf31Dt7zOqMt7ol7rokaUO1hlgaHQTbFLcStUSdS7 8rZ5f3dLYRUd9zNgSFMx/J7n1q9Lmot6fJswb8P6w+w/gbzOyLdEX7NEqb9O ssSj9d/eW3I+4uHb2k2W7dKtXO//zGDpPd2yxuOK/Kj1S/fpVMyzif/myYWZ e1r0nPuPWHXXZ8nxnPZiaLhtdOb83mJYyalPey52E8uKpo2++nyAaMa3PfMr WR/N/jfIm4r8UPSVQv868GrPtyT23GR9xYAAy+g7BiJ206P3987VE6cGJEcV utZWvHt4tMjdg24i1KXpw90nxgj9p87efh2miO+O7dJyT04XpaZ+iBjpNlO8 5vsI8wdYn8b+q8gLQn4n9PVD/x7waONvDf63wb7r7K/unz19rOgkmk5wLOc3 xkOMCn21PS/RR3QsU6/jyi3zRekh5u3zHi0U74I7jXWpECjcui5MmrMzUOzm uwLz/Vnvw/5ayKuD/D3oC0b/JvBo86NDXRkvazmPy9hrirxl9QsnH3ozXew6 6de8Yql/cRV3SbLos0QU/f7AuYTBYvG2od/hY3YLRP71JwabXvv+e0+V32+/ yfn+rP/C/ijkOSL/Bvry0P+R+NXm7xPiezPxUzFNnk8I9r9HfkBs5LKUpkvE xvD+zv7rfMUDu1KfV+701rfa5rF7kn+w/urGb9/2pKzQT+XbRsj55uvl+m7s T0aeH/IziIe96L8DHi2/jCEfpxHvi4in3pyXdQnpjxkRUl/O6XFRZ/0W6gcP iijUY1iEvu2njEmVVm3R76m7wNHabKu+6Uf5vYT5Gmfkeg/wLsO//ZC/Dn2b 0G8LHi3/FYE/mpKfm4n/3MEyvlpwvpvw3+eBUv/4ngM+NLmwRV92jL73ptQw feCL0DW1HEP0K0bL7wrMH2C9p4PcXx95zYnfaPR5ov/zZYlHy88O8F17+KS4 k8zXHeTDZuLPeqs8z+L4bx749na+V9en6CLRpILP+JAPEeJbF/m9Bbzn8O9V 9s8jfqOR/wZ+UPzWBjza+tEXfh4H/331kfwykvx9d1XmR6VNMv4q1ZPn2w// pZSX+Iq/KnHjxdTdohF4DV/K+a3Ew47Ncv+6a1LeZOTbwWch6PcEj7a+1QK/ JfaUx5/nsNeribR/6Hbpj774xwB/5naU/jsL3m34sxn+fM56C/xZD38eR/4T /Nka/TqNP9X519DE5x3iJZX4zIBfKrWW8eVAfpwj/tzHSjwvX0n/HQf/HObj ic/69nJ/GPKKEZ+70eeC/vJXCsanyqeZ5NcC8i2R/FN8Xp58v7pO5us78vcW +kfiL8H5PsmT32uw5zj88Bo+e0i+65A/DX3r0V9Lk++Kn3Lhq3HwV3H4cyr8 dh6+6w3/DQDvMvhxP+f5YoOMv25b5HeITs53Yr0D+98ibw7yH8GfF9F/ScOf iu+NqUfZ1AM99UHVtyXUj7+K7/HHCM6vCPH7i3r0tLH8jmDegfN4wv7NyLNC /iH0PUf/aU09UvVzKPW0NfU1inrbgvprjLzl2D+I87pK/E4jH5aQv9/5/sq8 G+sns7808tyRH4m+B+jvqqnvqh9pRn9iFCH7ldr0L6o/UP7N4XzWEk8xxL/K 12bwS2H4Yg/zJ1j/mv03kReHfCv0JdAvpZoW7JdUf3ebfq9yquz/7rN+Aval cR5biJ8txPs/5Gcj+GQF/NeK7w7Mx7B+PfufIi8S+SfQ14X+c7+m/1T98tck 2T/3uSPnt2PPTvz/hHgJJ74bk4+qX3eF7wbBzy58F2e+D+sT2f8Wec7IL8J5 2oLvfFLBfv7/yv2oacZZ0yanvxy78bp0d6eoqjrvPDmqv6f/XXdor8kQXf6e jOBnS911T06nWu3abHdixIsBRR2sl+uWGo76EmMeqFvZJzba54jrSYPd5a5W eBGre38j7WHskYM6vzPzy9yx6RQb/eCM2aWSGbqBvg6pR3OSdLE5jR0syluc 6mE6elkxl3zdhaYj+k4f/Uq327yfS0Uz/alfY80eX7crI8bkHV2ys+RfXfsl Lx/8XNQu7vUpf+9unWqJay9v2BhXNRadr5+OWf5zV1y414tr9rUaisOVP37Y /bacOJNyqdHg+rlxQRPmLg1420wcDpkx1nNweVHz7GL/BSuNTi/g75dZr/4+ DDkfka/kZKB3OniU3kxwfgW/wumKXb2wV9mVgh8qx0v/KD883yX9VgR/Kr8V wc/9oqT/lZ9dDdb/z7ksfyrPS53LneyC56dGNe/LOQZxrlMqPzULWrBSZ8no /+Pj7b4zL+iG5rcvnH7lnO7gxQZd45q/1l3eajSqVMPnujdrOpi1b2witnxa cW16IUORXXzq8pQJ9UUtw5A+Rteqi/6zk3xCt7QWS2LOuqwq31xse5oVtiOh m/jpcHBv2cDWwqCL87OLF/uKPId99o5d24syfwN7GNsNEMtS6pcstLijMOY7 hfmirH/K/qXIC0X+BPT9LCr1vwDPCvClgjcB/Huwxx77lmFvbiVp/yvGufi3 TVTBuFf+X11UntMXzqc/8oKR97xJRCmnOe90ZZrKsYir+YPlUy1EyMEuLjOM ygmrlalRVSe0FIVGB/x4Xr25GFr8/pRNRXoKv59l70ec6ShcrJ+0nf1kuGg/ LDg+qLSbyClSoapjjJdYE77Vae6sEaLznruVQq5OFc3G9Lb3rTVOmB5rtTrr 8wxRr9ToqSu7e4q/R+W3DfMWrN/J/m/Ia4z84egLQn8X8PweJfHZgjcQ/I/7 SHsKY199xvXY/+KH9EdL/NO+WEGeUPF9mzz4TvyHcU7bOKdQ9BXDfydcT9XK eGsrUtQ4tNaYiML9RKNKtdYYFXMVNsdXDnaZ7CnGbdySUtp+jCi6d8bMH/tm iVdrzk2+mzhVlEu5dmlcir8oVWjOoh52c8VLa/v3xbssFreCjukmvfQTPjMr LZ4eHigWmSdvqZrmL/rzfZ/5T6yvzH4j5OUhvxj6JqB/CHiswJcO3tvgz2J8 jj8XYW8G9t/GH/fxz+j4gryq+OMTPLMIfulP/D8l/isQZyU4xxbgeQSehr17 nDNP8BKFGBu1i5zav+R80WtHpn1iy7miW5Jvt0VvFou57TNTbk9bJHbv2Gaw 62uguOI8ym9MtyXCbu3Va19HBIg/O+oPHfIrUISOym4V5TFHVJ0wqtOMwf/2 U3znMN+N9SHsf4C8icjvj7426LcDT1fw1WPMAf8/2OOMfX+J258avnqBfyI1 dUjxc5VmkseN4O9ceMWghOQVlZ8dyI/RnPNYztkOvLbgXWjnPHbq/EDRizFv 9gyz2iaLRF7Y/cDSAxaLZ6K084XX7uLdx1ZWw3tOF21Gx139meiv71HGrPrp 4Z30BvGDMtKnLNefEx9v636P17+6Ib/bV5DzYaPk+u15cn/5NlJeAvK/oW8I +r0YncBnD95B4J+NPQOwLwB738KrFeH5rvinUbOCdVvVvwjq5Cfq41j4egR8 3RreUTz3jPxpRv4MJg4GEQcma6U9pedIey5Wndy6x8iO+tPl5Vg0ZnG9Yp6r 9T9HlpxRf/ByfYt1n/2/H9uk39Fhl5HvvvX6fZ5JF/dX2ar/t81z8B4XqV/H dy7zJVj/h/0foqW8mEpS/pcKcryMPzfg38XgGwFexTe/sMcN+5pg7yTs34Q/ XuKf8Zo+R/UXt+lDkuk/sqmDa6mDqh6ch88t4KWy8FIK+XWD/NITZ9t1Mk6u Y2809l78/tOr5pgt+seMC9Z+aT9maqS+Vb+mr9Yu3Kzv3NX63t0Vy/W6kNk+ l4dG6j90lt/zmV/P+jnsr/1Djr+R32+U1OfnLPVvBM9T8L0GbxHwm2CPeVFp XzD2rsd+O0fpj2/4Z42mL1T9WwR93gr6u2T6i1+dZX9hT51sSJ28Bt9nwPdn 4S1beCunnMy/WPLvC3HkRBx1xB878MeEhVsen3kyQ/9ngRzXDavVLPvKWtFk /dDzlf1mi3t81/eX89GsG8T+FsjbHC7lG3SU+k6h/31FiccYfBY7Jd4s8Gdi T0vs64m9f7A/B39cwj/HNX206o+P0kfPpX/2p29TfVxj+o939B/LqaMDqKPm 1IMT1INNzpLXjsBr38nPQPIziDjzI+4W4y/b4dJfw79nW3X7u0M0YJzIaMJ8 e9ZXZX8h5F1F/jH0DUD/P/CsFfjMwDsF/Kux5yP2tcLextgfjD/UvSNLc+9Q 4w78G8C62/j/zx8pR53PJ/ToOb/F4LhLPM4B5xnOvwV2DCM+VmBnGPFTGj/k Bsj42kfcJTI64r+HfFfAj8/85PoFXeT+6chbinwf9B1C/7cqEo8L+C6Dd5q2 n8K+Lthrhh/f448w/KPX3NNUXBq8kvk+mrjN0NwztsAX1sR9UfjEuIHMi8Jt Jd/cDpN585g62pu88oCv7Mjrh/BaD/Iyk3Ew+X0J/zRbK+NuKP4uR15fZ/1K xnzkeZPX09HXAf3FP0k8rcjr8/DjB/LaDHsqYd9y7M0nr03hx/X456XmXqt4 Mov6cwse9aQ+7Ydne1O/cqkzql6bwdM21L9D8Hgp6nWl1pLnkyrL+nmPOrCd ej0F+4fiXy/iaidxNZl8VfXaknlj1h9gfyJyDZH7nb6gdFup/y71ejz4ZoG3 JPjfY88r7GuJvYuwX9Xrr/inq+YdQNXtgfRDN6nrN+gfw6j76+inOtIXDKXf EvQN3enH3OgrFtOvLVN9I2M4/cgT6vg16vhT4iaSetSYfNwEzz29Lr9TmZ/H +urEnS91uUIdKb8E/dYG9IaCpyf4XMFbHfwDsccV+2Zhbyfsb0P/aDRO+uet 5t1E9ZGr6c8d6DOn078/oQ/9QX/vRp9qS//fkz7WjPtBefrcpoyjwT8O/DuJ i3nEhQH5Zki+5cKrr+Exb+pD0dHyuy59+nv44xf9zFDk3UC+O/qGob8OeGqq Phy8nuBX95kBmnv4S+zfjz8645+1mncmda9ZxX3xNPeeu9wnC4XJe5G6X9fj 3pSouVdfZuwIPi/wNeXc63Luo8mnvPsynxLhqefw1HP4Pwz+f+Mp6+pGvkvR r+Sz/gn7DcnPCORboq8z+vuAxxl8V8Gbxvgcexywzwd773Iv/Kb8kSr9M+JG wXc5dc+eyHuPKe+b7rz3zOOensp7jxHvFH+4zyehvyL6m6s45VzHkC/9yZe3 8NB7eOjP39n/w+914PeL1E3Vf/jTjxjx/nOH+Qasr0d9UO9Hj5A/EH3q/moD HgfwWYM3A/wm2KXeYUx577mN/ZvwR3/8s7dowXfM/97NouV72o9c+S60n/e2 /P/ejeSo/Kn8G8a55XNuf8iHRPJBvVu5wzOKv9U9aSl18Sd1sRX9hjn9hqCP M+W7A/NfWR/B/s3q3oH8qehbgf588JiOLvj+sBL8R7CnBP7bh71q/IE/2vJu 1kHz7vvfO26afOetVFi+Ux5ktGT/xRy5/zDnMo5zuUC8r4cPlsMjreGRuvDz T+rXYureQ+reJ/orH/qJdPo0f/q0IPrfRXx/YH4u60vRjzxG3lrkv0efEfob gGc++F6C9yX462LPbOwri79+Y/8H3m+L4Jcfmndy7ft4pmY+O6ag33tq4nmb 5v0+QsO/pzR1bYKmXzB6VbAPu6npb+9r7g3XNPexv5p7rr/m/aCe5l1mg+a9 K17z+0xe0YLvs+/2FXz3/vrk//27wqbbKxKnVv3H5qVBlG5GrZCWtS3aHp9/ IbbV7qzIeddzzts6tOm744rHNruogV+LebUdbH+j7rzaGyt/sg83fpzXff0Y h+cdwmKbz491yK65ZOPATi8deozbE3dy1o//vtW8Wq/2K3lKvtKn9Cs8Wnwd u3WLPrrZVZdVteSNnYUCdX3v3qpq0vGoLs5r9+AiG9N0lU+/yU4L/6k7MKSZ 84JZFqKBu0foj0nWolqLN70t2toKG5OQkBmb24hvA1ob/j3aVjTmuwbzVqy/ yv7qyFuI/Dboq1hN6t/ZVeLR+q8W88WKGPj+iT+pm7g69G2ne890eztUH5a7 rJSwCByVN6VRQzGk1bPGtRu3F5+26RbeyesvfMe3tTVyGyUCf2fWsQ/wEoUu DLxXJdNb+PGt5gttl+uHsr848q4jvzf66qL/N/7Snu8Q7HFl/dvG1RI79S8j Qn6en5qwvKW4XiUva8FPV9GvT65ZTgkvcfyWicOFUfNFn6TqiyI/BYvp5S6c OqxfJXL2vdkbE71G+PDdj/mTrB/L/jjk+SM/D31e6B8GHm387cD/m7FP7R/y zCggxmyAaH7Ucvu0S9PFoSIrv4TFhoqXq7d1fzNpk9i4Q/fX6/ce4Zv6+p5r 4kHRLtLhSrXJh4Uf35uZ/8T60+zvgrwxyA9A31X0HwKPNj9U/P1ZLM/jKPa2 Rd7utR2abY5ZJVyXrboWHb9L1HjU48z5F8fEobrjroRWPC8+15uwOc//suh7 v19oT+ur4jXfscxbsV7tP4I8HfIvoK8y8dAcPNr8PUp89yN+enM+R7G/J/L7 lTcu0vxTrFjS2rtBQuOrIs02zb3QrUSxZ+e9whts74q2VerveDPontjOdy7z /qz3YL/CG4f8Iegbj/5b4NHySwvy8QP5EU08feS8quCPeejbuztjsXvFZPGu h/+d7ZceCL+BSXeqn00TdksdTu1aki7m8v2d+ROsV/sbIC8f+Srei5NvjcGj 5b/68MdU8nMg8b+J+DrA+aXgnzfon+pTzah900fCZdGRuSNSHomhS2qs+un7 SHTm25f5t6x/wP5jyItAvsq3JehvCB4tP/8D302FT7zJV5Uf+cTbJs5zPv5y Bo/7q26vvNb8688OS+tOzE0Vo/nuwfxs1u9kfx7yViB/EvqC0d8KPNr6UXig 5OeP5yX/PYNfVP4OJD/aE38tON+B+M8JfB0ztrypuy9FtOfbi3kd6zuz3wV5 HZD/EH2m8G8p8GjrW0uNP6dh3wLs/YD9O/DHVPzTSuNPAb7hfCt/L9H48z3y QjT+XP6/+FOdfxPiYRrxMZR4Ufx3mHiKJ76yibcJxF9r8HTHf+rbm/mXrFf5 fxB5kcjvjL6F6LfWxKfKp+bkVz75HkP+fSYfy5Ofc8nXKPI3F/0++Ksx5zuN 7/fMH2P9QvbXRF4e8o9o8r2BJt8VP92ArwbAX0M1/NkdvusL/yl+eYR/1nOe rYg/lW+PNPw5gf39kfdffULfRPSf1fCn4ntH+L8E9UDV3w7UC1U/+iG/Fv44 zvl9JN66kR/qW9Wruqzvw/5DyGuH/Fj0/YP+Fpp6pOrnGerpBerrUurtWOqv qp8Hsf8D57WS+JpDPjiQv/P5Xsf8O9ar+tMdecORH4i+++hfqanvqh/pT3/S l37li6ZfOoe9rpzPaeLJXdMvPdf0S27MH2b9CPafQd4y5H9Dn+onF2j6JdXf DaH/LE//N4D1Z7GvDOfRi/j5Qb7NIj9nwSeF4b/5fM9m/ifrh7PfBHnXkN8f fT3Q/0TTf6p++UsX2T8PBK/Anmv4XxAvKr5bko+KP+zhu5Lws/pW9dia9XfU fuSpeBuJvhHo36Tp5/+v3I/K79l14/LJbJuSth6WG7xtda0Y1d8X7ZrgVKeM j6700uLHwstP0o19fTnkVH/LVqPDvNJ/mGzTvZ4Q9vLu8/W6mHKpLztlOts2 SHywL6REvK7brImJjaPP616+d6k/waSlXfMq28oWa/pOl2F54UGTyk91husX 7P1Wq4h9G3H7VU9RUrwMXDdh1YR8Xej8QkcGNY22H7L9WrHx42qJHhOLzXrt ZCpKlGg8wuhEc4fVNXutWJfcXPiO2nvGIbKq8P74JbDJxzUOlbsX6XtksZMo vCjj4/TZdUWa6axj1Yrcd/gW1mP8ir/OovDnjsPXmFkJ21rZtSI9vjh84u+/ F8r16u9myJmFfCVnHXpdwKP0DgJnoSUSv8LZAbuysFfZ5YofquMf5Yca+G0l /lR+c8PPvvhf+fkg5/K7pTwvdS5lWhU8PzWq+dPIWcv+pi/iKqZf2K7rxajv 0bPopxrJOo89Kya8LJmkO/Ns86e22fm61sVy77Yx+aLrlHAp1epWNZFY1qXX tXPmIqXf1H22L+zEpaYNvvkXbSpi//Y8lRLfUyyePXuDY6KzGLft8K6DS4cJ 1xuLcts97inarRjfcPbhccKjwwKPnr79Rd2BO8NXJE0SpQbsPHKjyQBRk+9h zDuzvhf7vZAXjPwL6LuG/ofgSQBfffD2An889vTHvhjstcP+oYxR+KeYJu6V /w9zTgM5n57IO4u8o/eK5RQt8kd3lfGdr+HmzMr1RGAD9yv/HKstrtzL3rGn SUehK3XweJdgZ3F3w627ias9xLXXgW2H/HQXD/bmLn04brroejfR63LgBGFX dGPe4cmLhF/QtwcrH80Uk2ad/9S6ygoRY9DR0nqBnzj8bsHsqGprRFEPb7+b gwL++45iXq1fyH575PVGvtKXjP574HEA303wzgH/a+xJxL4rjOexfyT+WIB/ Hml4QsW3LXlQh/i345xOcE7T0Kf8N/ptj9BF6Z3FUMbTt16bB64bJ+wKvX2R +mO0CKvdenTeqABR3azm8Qt75wmbxK8dttmuFQnTn3w8VW+FOGXWte7WrjvE rcQT9a5/iRB3H596OKxTtBi7tMdhy7nbxIdTZ+w8ih0Wexe/HhDfaYd4z/c4 5h+zPp79Z5F3H/lO6KuJ/k3gcQBfAng9wa/GN9g3F3uvY/8A/NEK/7TQ8Kri jwfwTGv45Szxb0n8N+EcL3OO9uC5DJ6eJxsPPTJzkejBOHlTzkSnMxtFy6+O u5P/RIhg57BOl8ocFEMqDm4ddWGfsK/czafQujhx0HRyi/4Tj4nJ7h4166y8 KCbW+b64zvo4MdnkYaHO566INXHtSuR+OyM8+R6r5ll/jP3OyBuH/KXo06Hf FzyDwDeYMR78rbHnFvYJ7HXG/kz8MQL/fNXUIcXPGdQhJ/j7BLySCK+c1ORH Rc45nHP+B7w+4K395Fd595KHRT3GVScq+NeqekE88xtnddNfL8q4V15k3uym qDrQY7DVzGsi+f7uukGJd4R/o2UGxi1uifg93+aOLH9PDGt0s6zomChu8O3H fALr67HfHHmvkB+OPmv0N2CcDj4n8G4Gf13seYB9idibjf1p+MMN/5RcUrBu q/rXlzo5gPo4D76Og6/bwTv34J3b5I8j+eNOHAQQB0+wJwx7MpzrfM5vfOu/ Mdd89Mxb9vfF7bP7ZrQyvyd+fvv1udv6h+Jdxe9Zd+c/EE5Ft1b/MThd/Bzk WKlWWOp/3x+ZN/gu1z9kfx7ycpH/nHEt+nPBswp848HrDP407EnDvm7Yewv7 w/HHWPzjrulzVH8xlT5kLf1HN+qgqqu+8LkOPk+Al87AS1HklyP5VYU4MSZO bmHva+ztZP+r/sUlaf+NrcesqW7w8JEY8cjm/e9lj4Td2b3h1zY8EhfHeLX8 m/pI2PI9kvl2rHdhfy/G98hPQZ+K+0rgaQe+I+BVvJqEPQL7ArB3Kvb74I/d +Gehpi9U/dt3+rxK9Hfu9BeC/mI3dXIydXIMfH8Pvh8Hb02Bt2aTfzfJv9fE 0R/ibij+cMQfzyL3mmd+TRdPGMN2/Tp7YNBD8ar79McGuWliBd+vmf/A2Jb9 yr+/ka/i9g7654FH4fME7yPwT8Se6dgXjb2dsH8K/miKf0pp+mjVHxenj/5I /1yIvq0GfdvP4bL/OEL/sZM6+o46up56MIV64A6vXYPXPpOfzcnP08RZK+Is F38tw1+zdh6/sMr5gZitGcOZf8f61uy/jDxH5Oej7yb6B4NnPPjWgvcz+Pdg zzHs+4299bC/Gv4oslb6p7Lm3qHGQvhX3UP64v9ayNmt6evGa/oTL87XC5wL OH/lx5fER0PsHEL8NMEPj4iv5fgplFH5byXfaxhfst6R/WOQJ5D/CX1Kv6pf o8Cn8kf5cRL2KPv2Ya819k/HH8XxY/FFBe9pKi79yHd1b+sOH3QkrucoviDu FZ+kkBeKHyeRNxbwUTx5FQ9ffSXvBHzWjLxsxZiJfxrhnxzirhnfWcy3ZL3i he7IU7xxH30qr2uCxxt80eBNBf9t7JmCfXOxV/HaZPzRGv8Eae61iic7U3/C FY9Sn6bAs+2pX23gYdXvqjqj6nVrePwp9VHVmVTq5wtVVxnbYL/yrxtxpfL/ OPn6D9/uzH9hvaozSu5LRlWvVZ15AR5VBz3Aq/AnY4+6Z6l7l6ozYfhjG/4Z qHkHUHX7M/3jSOr6dfolPXX/PP1UOn1BVfot1ffY0I+pvqcu/doa+g7VP2Zi XynsU33PdeIml3w8Rz6+hecuavhBxXky+8siLxv5Eehbz9gIPMvBp/pHhb82 9qi+R4+96p7+An9MwT9vAgu+m6g+8j39eUf6zGv075n0of/Q36fRpzrS/2+g j3XnfjCFPncaoxX41X1G9cnq/lGNfJtIvs2ExybAY/019cGXeXWfUf2VDnkv kb8Mfar/ngueOYwDwav6cCfsUfeM1tj7FPtf4I9B+Oe95p1J3WvsuS+6ce/p x31Sx71I3ecTuDdN5j56m3uVGgeAb6PCx7mr++4I8kndrw/AU6p/Uvc+1Qcs p66+5Xs084qXFc8peWOQr+JM6d+qOe8k8CZr7tm3sW8e9qp7oQ/+CMU/FTXv cuqefZ73C3vu4X1531DvSer94zv3+PeM49Cv3nvUO8Vtzf1R3YPuqHsQPHQd fveC31UfcIi6uY1+RPVbqm9V7z1qv5KXhPyH6KuG/ofgEZp79ETwf8aePMaH 2HsH+9V7j3r//ah5x1TvPjm8p/XhXUi9P57j3egE413kX0S+H+em4tZOvZuR D1fhmfPwjHrXUvVL3Rs6UxcP0G80pt8owruZ+lb9cRfWz9PcOzoi/zr6rqP/ OXgcwafwLgT/Q+xJ07yXXWKcjT/W4J8Rmndf9Q552Ea+8xbbLd8pizDasN+Z /aM5l9Yqbon33sR7EjzSGh5R77jqXTuIuqfev/vST5jTTwyhT/tMH1ua/jef 71HMV1Tr2a/us0r+MPQlot8FPPfBNwC8A8Fvgz3DsW8k9vbA/qe8355hNNW8 k2vfx2NtCs4XCS3o91hNPA/V8MQfDf+aaH4PmKzpF8I0fZiFpr+to7k3lNHc x1Zo7rkDNO8HxTTvMr817106zTviT8377AbNu/eL/+V3BX5HOsbvSsf5nekE vzud5HeoWH6XOsXvVKf43SqO37Hi+F0rjt+5/vtW82q92q/kKflKn9Kv8Gjx HTWabNfdd5RuRd9xJw+vWaPb2eTq2gPl9boHV3RV0mZl6Xq0synaVRQSi38f ORd+1UKMyqpRdtFeS2GXMGu4w5kWwtm7zMzT1exFs2yXWSa7HUVrvk2Yd2K9 K/u7IM/yqpS/p7HUd6yf1H+9qMSj9V8t8I3M3+rvOfSSLmHrjLiTh97odnR7 4zWmqqmwOZk0+Wtta/Hqa6T18yc6kSUO+my40V2kVTI8Z2vjJk72zO2x7OUQ MSAox7WRbrhI5Hsp8xdYX/ub3F8Nec2QP2mb1Hfhh9R/Dbza87XGfw1Y33t3 d1MXh3LCJLzIJpPkFuLC/j5bf7TpJoZnr73nVmOomL7zcEZIY09xLHJmi2ur fcS9ZzY/rb1miIlLLxVzujZTvOd7KPM7WG/G/tvIq4r8Aegbin4T8Gjjzx3/ 53eV9vVgf/etM0+V9+glXhvamKVmjxIP6o1/t/3VVFF9xBHvn77zxNGL3gb9 svxF9cGnVoy3WChchm4v+rTjQvF1kPyezvxu1te0lPsbI28y8v+slfoW4N/y 4NHmxw7iZf0JeR6FoqW9ZZF3/YVHp4arZ4hRQc2WZg70FwMNg14uclgoDNvW WDTdc4GIuLssL+P2NDHq5L7j7797ixFp8juitZw/UFSu9w+W+wcgbynyl+Df fPT3BY82f78T37uJv8Ocjw77bZDfoUXOpd6zA0TxwRWmT1nrLS5P2jbK+KmP vs+toSKi/xK96fimob0cQ/Wm1+V3zFQ538ZbrndjvyfyrJBfD31lid8A8Gj5 ZQb5uId4jySePnjI87pUTPpj0gSpr+zLtVnNtwboT757vMTMda0+wa1R7ZTC G/TrzEpHVpi+Qd/JVX4/+SDnrT7I9R+nyf3rOI/FxMMi9J1E/1DwaPnPEf5Y QX56Ev/DiC/b9vL8GnlL/+SD73rSgq+Hm2zQl7a8uKxJjdX6aklTS/aOCdJ3 qCm/bW/L+cBXcn2PsXL/7zZSXrVLUv4q9EWivzR4tPy8Er57DZ9sJV/Pkw8D b8l463FTnucCd+kvk+oSj2eW6SePL9NE9R2rOlhsXyUKp8vvA7Xk/HL8+/6G 3D+aeC49UMpfhL4n6A8Bj7Z+ZGRJfq4G/5WAX44Nkfn7eZ/Mj7o+Mv4yzeX5 Bt+W/vuxWeKrXSN4S4VxW8XfjfJ7UJqcdykn1y+fIvc/PiblOcIP79Fnjv7n 4NHWt8bgv4c9YdgXhj9f35f2r7wj/TGnv/TPiWrSX93x38CtEl9IpvyOZr4d 8ZvKeejuSHmm+PMI+taiP07jT3X+JYmHPsSHK/HSiPhc7yzjqQrx5f1GxluL OzL+eteWeP7ES/81q0E83JLz117L9X185P66xLsV8neibyr6h2niU+XTTPJr M/n2gfz7TT4OM5L5+clT5uvutzJ/+76V+qP7SX/5msrzPY6/D7yX8z8+yfWN x8n9seR7Q+R3Rt9x9Ntq8l3x0034agb8WQw++1WvIH/mwH8PJkl9veHHRvHy PIuMlfHXinwxmSjn13vJ9aOay/1dkKfkj0HfNfTrNfyp+H42/J9BPShBPepM vRhG/cihHjWET0118vx8k2S87T8n8+MX/PCD+YX47z77RyPPAvkR1KPf6PfU 1CNVP2dTT69T31V/MJL6a4q8atSPD5xXVfivFvk2e5jM32DyYyPxV2mkXO/E /orIu4D8SujbQ33Xaeq76kdm0f+9p19xoX/pyP4H2JuTJc9H1Y8+xP9S8nUf /DKJb5WP71jfm/Ndh7zCyG+Lvo3od29csF9S/d1v+r229H89WW+JfSXpF/8Q P1+J93MqP3tJPumk6T/dVH/K+nfsL428TOSvQd979Jv3L9h/qn75EP3zCubz sWcQ/p9FvAwlvh3Ix/ybkj/qwHfh8LMP34bwy3TWn2F/d+S95r7gib4/+Cu2 SMF+/v/K/Yj73LEs68VXf7/qroutL0f198/fdCcrrvXTrfz6a629wxx1Lzyx aXW9gyOaReti+75r26vbTnV/PPlixT7Tu8Xv6jItE/xu7byu7pmx16e7XRu9 66NuW9Hnpob7n6v76Klg8/z+qabGYl67510MvH6re+upOiXdDA261xSNejR0 +mjz3/02rsqL3kvCPzQWy/e0j+vvXFndg+Oy15/xEQ1bierRFYrdSKyl7stx G9sudu//xEF0/9kjP/5QHXWvjjvO35/ul+vV3/8iZxLylZz0XKm3I3iU3trg zG8r8Sucd7BrMfYqu4Lwww4r6R/lh54rpd9mukp/Kr9tWiX9bP9D+l/5eeQP eS7WteV5qXNZXqvg+alRzTt+kXLKfZf7s+61edG4/0FdBGPl7LdjBvul6Xpv WPLQY8sDXVz/f0ycrAoJq/376o979kO3ZX5Uq3K7qomiGf329V5uISZbLG2/ br6NGHL92OIG3g1FpknPNfPKdhQT2sz4p/AwR3FmtntEVyNX8cI6NNrpRwdx +3g7j43PB4r2QZM23MlzEX1CxIFR8cNEUqfUBqsO9BRj+K7M/GHWf2P/SuSF I1+PvpnoHwOe3McS3x3wJkRJ/KHYE4d9e7B33l1p/wbGvvg38kfBuFf+70fc nyEPpiOvPPKqTlhx3eybgWjHuKhq+/tn7OqK8ENlJza0qy1+WRSyHHukjWhj vfXxlSBHEfvAKLvy877/2rulRs0fPYXZs6IX/AaOEneHZJbeOWKIWHRiZMbW FG9RonZyg8Bfo4Vhrf5r3K5NE7Zv4hf+WDVB9Etzu/xz5kxxadvFKmt2ThTt +B7IfEpNub4W+4cg7wzybdB3Av2R4OkEvmzwngJ/GPaUx75KjLHYvxt/PCR+ E1wL8oSK7zjywIT438o5beWcLqNvM/pePI3OaTairdBlybF4F0vD7CqDRN+5 PyvUeeYuaucPN+p2YqLIWJAYd3X/eFHfIbJaudRZIr9ds5Y1EqaJnL7+lTuv 8hNjL08JtT8wRzy8UPbKh+MBosGlNkvt0haIbR2K2rp2WyiMX35pnRHmJ07y bc28L+t/sD8AeZXbS/nt0Xcf/cvA0w589zpLvGbgr8+4BfuWYe827C9K3vXB P/2tCvKq4o8lhpJnxiueJf71xP9KzlHPObYCTyn8Z/p1pVd2rrfY80WOlmXu Ju81nid0Icbdq++ZI3bsHb8kq9BCkf9pWVq+U4AYm/7G845JgKi8znL99X/9 UzZ+aKdTRWcLq9BTtZuYBQjneL9mF9pOEaEbir17besvsm/J79dL5fzKm3J9 OfabP5LyhiL/1D6pTx8s9a8DT2FwlmK8gT/nYs8r7LPD3vXYXwS+isI/tzV1 SPFzBnXIHf6uDa8shVe+kh/TyY/XnPN2zvkreBuC93rf5eYV7BaKdFc5XnwY M9vKY5742fdb2zJl/cTqVvHGa0s31t+JTX1eOXmsqPnD9dS5Pv76S0e3hoW+ Ha5/nzF29i2rpfq/jVqOc9s+WR+bLr9bnpfz+z7K9UmH5P7fplKeeT8p/9kD qW8QOMIZm4OvP+fbEvyF/LAH+1Zg71zs98YfMfinj6Zuq/oXQJ20oD4Ohq/T 4etceOd3tuSd1uSPMfnT/LOMgxHEgRP2jMCebw8PPHh2cbj+fpoc37pf+mNe fKW+aLUOTduVX6rfucLRcWDEev0+k0Ift98I00cuTy+z33+DvmnFzs41MsP1 30Pl9wczOT9wuVzftKbcX2KAlLf0kZQ/JkWOS1Ol/rXgaQ6+b8RtdfDbY099 eDUeexOwfzX+aIx/PDR9juovNqk+hP4jkzp4iDrYED4vAp/HwEsH4KWO5Ndi 8tX1qIyTNedu/E+c3Kwq7V0yUNpbZNLf3IGPI/SFJssx50br7vOKrtPXNfnU zK1zhH5v37jBs/KW6qc92dUy62e4/nAf+V2Jead4uX4YcvojJ53zMawh9V1+ JfWvPiPx9AWfO3g/g78V9mzFvirYG4b9pRpIf3zHP96avlD1b5n0eVUiZH9n Qn9xnP7Cmjr5iDq5HL5vAt9Pgtce3ZC8teW0zL+gLzL//hBH5itlHI0qLf2R jT9efR17Or34HL1znhx7rXh1/tfxUNHqyshlqeajResw+R3Buto/5Jh9Xe63 R96RZVJ+HfRZoL/UKYln0nWJ7xx4J4J/NvYcwb752HsM+98ukf5ohX9+7y/Y R6v+2JI++gL9czp9mxN921f6j0cPZf/RjjpakTo6mHrw4ZqsB63htQx47mgl mZ8Vl8n8LEycfXCTcXYjUforCn+5eHtXqn1/o+g2UY69+I7Bv5Z35PqT/eX+ sxlS3jv4ILSC1Hf4sdRv2lTiWUT9so6QeEeBvyL2HMe+8tulvSHYn4Y/1uKf mZp7hxov4d/DrHMgHo2R48b5vEXP+Yvy/MLAsZA6Km5InFXPyfPPw4+WZWR8 NIbnPExl/JTpJ/2w74uMr8OrpJ82rJFjjJf03+fV8tuV+WfE41f2zyLfM/Hj FOKxF37sQn26kSDx1SceG4C/BPFYjT51MvY2xf584vEc/ukYXfCepuJyAPlu Rtz+gB89iWvV794j7p3gk0TyIge+GUxeVz8p+ejdZ5lXX6gn2dSHIHjNFV58 zPjnu/SPmav0T/hFGXc9+d70Sc5PJZ8PM9rCjzvI6wq1pL5L6C98XOKpAD5P 8AaDvxr2bMe+2tj7CfsT1b2Le+0vzb1W8WQM9ecSPNqL+rQWnt1O/ZoOD1eg viXC05nUPzd4fD/1cXUR2Y9UTpb1syx1Zhb11dhb2r+Len0InqtHXJUg/1fC B7bE3etQub7bFLl/i5uUd4E645Uq9flnyjrTEzzzwJcF3jTwG2OPN/YlYG8o 9sfgD0veH2pq3gFU3V5PP1Saum5Ev/Seup9MP9WUviCf/rE3fYML/dgU+opQ +rX7KbLvmEz/WOyxtC80R9onqsu4OU3c1CAfnegX/eG5QuSnP/N3qR/jibu4 JvK8itP39EbvG8aF4LECX2fwOoE/AXvKYd817D2O/YPxhzn+yWpX8N1E9ZGf 6c8v0Wfe5z4zkj50MP39PPrUAfT/qo/dzj2mK32uB+NY8K8Gvy99uIrbeeRb MPlW6azkMWt4LJL6YMh9xjNWzh+i7o6HPzYhb5iKO/TFov+CmcRjAK488PqD fyD2+GNfd+ydg/0/8MdW/JOreWdS95qB9eV9sTf3nhju16+4F93jvnmHe1NZ 7qO/uFfdZ/wEvsrgK8a5O3Du18mnLPKpJjxlB09Nhv/3wf9Dqavj+O7EvDnr zdmfirxZyB+PvpLobwueftwHl4A3hrE59jzDvi3Yq+7Fhblfq3thiOZdTt2z U/rI94tl3MPf8b4xjHv6U0/5/nGMe/w5RkP0K//24lxXc64luG+1Il8s4aEd 8NA8+L0R7z11qJte1M2y9CNF+d7C/G7qwQL2T9Dwti36TNCv4iwEfJngtQH/ aeyJYzTlvWcz9v/AH2vxT3nNO6Z69zmZL9/TBvEuVIb3thrP5LuRAaOSH4D8 eM7tPefWgXxwIx+2wjNx8Ewk/L0b/s6qJeviBurij9ey32hEv5FN31qf7zH0 I96sb0xdXYC8ZORnoS8R/QvVeyj4VoB3HfjXYU8F7DvDe5mecTn+iMQ/DfIL vvuqd0jrmvKdN4h3yiOMd5Pl/vyVcv9BzmUa53KB/A8g3nPgkTj1Xg0/O8LP a6h7H+gLKnLf0tFvTaFvTaBPa9hZ9r//vbszX5z1xuxPQl4A8iugrzP6T4HH gHebK+BtR74GYM9r7NuMv6LwX6ryB+P6GgXfybXv49Gad/SrGr+/18TzMw1P 5Gn494vm94Bmmn7BUdOHbdH8DmGnuTfkae5jfpp77mzN+8EuzbtMjOa9K0Xz +4y75n02UPPu3bLm//t3hRn6OY0iLOvaJKQnWw1ZNqel19cU4zaVo1rF+Iyw q5982LbYzfp1UlxX263d/qzh95vd7aNM9Sl76j6zr3ZitPe3ZDeHg4UX3ely d5/DgsrelUftSXOISLq7f3L6q/++1bxar/YreUq+0qf0KzxafL9btRtR1n6m Ln3slBfbfHfpjM9Ou2Z+KlGXEDm67D8eH3Vzjj6v5T3CTFjtGJIes91S1Mj1 LO67yE7caXen/e+yHcTloU2Cm5fqLkIuzfQxtuwlLvGdynxd1rdi/wLknUT+ mzNSX6FxUv9i8Gj9dwt8KUYTdDN23dV1quOT9d71l+6di+GKhGE1hGFh9/OB JxzEh9Zz7vjG9P73frqhe8WZI0RqVvXfBs8miZ5dr3lsfztN+MUevTi3zkzR le8HzI9lfR77iyLvPfJ7oO8O+suBV3u+hfBfd9b/E1nmW+T4OuJY2u26DQe3 F6cnxweP9B4urMpdjt55Zprw37gr/kv8IjFw94AtxikrRXnbuYYW/cJFplNm pFnAelGObzUfzPqm7D+BvCjk26HPFf3lwKONv3P4Pxn79rD/jGOr9HaNR4lN v63/FEqbL0T6dNsKvqvF6O69WjXetU28n27hcnXKfmGSp++sO3lYpKy6XzHS +agoyfcX5j1Z3479x5B3Efn70fcV/cng0ebHbOLlo4E8j6PYewR5H9Yb+Dh1 CRfOr0zrHLfeJyJjWryoc/SEcI29eHvfzfMip4d/eve8y8LufJtpe2dfFU/5 dmN+I+td2P8NeQeRH4c+M+JhKXi0+duE+H5O/FhyPsp/7ZE/9UiYQftdceJG qRv1H867KuadHvJlTrdEccvkr7nVrmQxdZbvk/zouyKB7wXMq/W+7O+JvA7I b4C+r+hvBx4tv6h8HEG8q/gbz3kp/11E360lLSfO3nZHRPUNKpRzIUV8SPwy 4tDih+KB3QArg25pIo/vY8w/YH08+7chbzLyVfxOQn9z8Gj5LwP+SCI/hxL/ ecSXOt8Z+EfhK1mtwzqvL2liblzZmy+/posTk0pGWz5KFwF8mzF/hPVz2N8f eZ+R746+Z+h/Bh4tP9+D75zhk7LkaynyIZd4u8p5vsVfs8HT89jEISv1aSLl 5tq6S3Y8FAP4XsT8J9areFDxWxb5ZdDXH/1J4NHWj7Xw8zT47xH8cpf8tSU/ JhN/NznfY/jvPvh2eC37VbR8qnjI91nm01k/if1NkJeM/LvoC0S/wqOtb7f/ F38qvnmG/Vfwx3P844O/umn86ca3ioevrL/B/sfIU+dljL7e6L+v8ac6/6fE ww1NfL4jfnoTTz7E1y7irRDxNw08u/HfdL6LMR/Nen/2q3hX8vujL+N/iU+V T5bk10jybSH5N5F8XE1+XiJfE8jfvehX/r3F+b7gW+XbHdZfZ/965E1A/nz0 TUG/pSbfFT85aPizHnzWBn5rA9/5wH9X0Dcd/+g5T0/iT+WbH/PXWL9Iw58d kV8DfT/Rb6fhT8X3QfB/IepBLPUhhnrxhfrRHfkb8Edfzi+TeGtOfjzhuw/z m1nfkf1KXjTyj6GvCvqDNfVI1c8U6mku9fUw9fYa9Xcv8tpiv4qHl8SXEfmQ oKnvKv7UelV/DiNPyY9B3x/039XUd9WPmNGf9KJfsdP0SyextzbnE0g8DSH+ VX/0GH4x0/RLS1jfhP2qnh/X9Esz0V9L0y+p/s6Cfu8a/Z/qrz5jX3HO4wXx o/rJO+RnZ/hkAfynvlV9G836j+wvhrx85Lug7wP6X44t2H+qfnk3/XNh8ObT Xyfif9W/tCC+G5KPT1S9he/C4OcUvrOYt2K96i9UPqQhvzz++wf9OzT9/P+V +1Fwox3Vh8Tfs1mw1PXEHovhumWM6u9//XfON5iyWjfK84h/nvVyXZfsvhfu LKvQqvbVTt2zgs/qDg22Dv/keVx3dPWbjo1SW9iuqPj/UefmUTl3Uf8/CZG5 gYxlyFApkQjXISFjMhQylBKikDEhkVmijJkzZYjK0NwlZB5Spsosc+Yp8+9e z+d17rXuz/o+6/f389dZn+ucs/d777P3e+9zLlMbsx+PNY+1t3clhd/RZOct 6LevtXm70/UTeh84pyPujy0223T6i6Z/er288Zaf2x3MWtm85q264rZt+6B7 ulVEft7wYfeTtrbvU39G1UrDW4mpQWl9mvUxFXd1SneNO9TQ4YxVw7ILV3cW ndf1Kiqpbymadi81+HP5RQ7H35Xf7Tugp6jT90NpvUmtRf+kvKnpTc86BG11 GfRa4yJ27Vo83inGTjifCz0zYsUzhxn8bsJ6+fsJ5DgiX8q5gN4g8Ei9EucL 8Eucadh1F3ulXefxQx7+kX5Yi98m4k/pNz38vB//Sz/bLlDOpRnnJc/FUnV+ cpTz3ZFTjv2J+tHx271OapIYK84b7t+48yvN2uefC7dNfq65XGK2+5BdNXH0 sX6Tt28rCOuWtkXlC1qKNq++3K1uZy58Wy56m3ehu9AZUHbx0/hOYrSji0vD oGFi37OH6zKGuAjN6LPfa4WPE+cblR83dsYwYRjk7rhtTKB4bXq18+GK//BA s4F7x82aIaaGTvle6o+3+MT3C+bl+nPs74K8I8j3RZ8u+seAxxp85uBNBP8Z 7NmCfcbYuwv7DzDa4Z8MVdxL/y/gnMw5nxXIq4a8sTZeO1b/rS6mM5ayafHD soOdqLH2wEffiq1FaHSGv4MYKBJKV996opmLsBoy0P5W4wnivZ2pZ7sv3mLD 5tpHRzvPE51nuMXbDZom/IpSTu5qvEK0TDpSyTZxvrDMzvE7cCNKDLFdNqvT yMXC3cysIK1og4i/s+1GbMxSMZhvOW/Berl/EvK6IX8T+r6hvyV44sC3ELzV wP/HWrFnMvbJsRH278QfkidiVDwh4/sKeRBO/G/nnLI4p3Lo+4u+4KM1Y5YN HSxmMO5e+rXp3dGBooHTyNgTWyeLXcv3ZYw/vFTMn/pgZv2BYeJWt5/H8zTR oszVhQ5WBVEiv8ZSzZGle8XIyPshWSHbxSFD+w59C4+IPY+9khZt2y3szgz5 eO9OorBwSojasHivsOF7F/NHWD+a/YXIq4j8u+hbhP7D4GkIvkPgnQP+EEYZ H5Wx9zz2n8Yf2/DPCxWvSv64Ds9kwS/1if/axP9WznE+5yjxHABPaubDSwVW K/4d/9Z9l93ccafo8nJAtWlLtotqMTuGjXVPENV877182TVOPN617EFsx3Tx 8/PuLY4OJ4TJgH0znUxPC+P5IRvKadLFh8k7WofWPCv6nl13zXpxpnjDdyXm a7H+L/tfI88I+Qbo647+cvUUPBfBJ8c48DfBnmXYl4i9bbC/K/4oxD/fVXVI 8nMOPL4P/n7vqvCKJ7zygvywID9knO3nnDuCtzR4T3V/FdC7MPHfceHggtOv srJE2bANPy7MOilGVWhe+ovJJeGd3jy415FzokHB/nk2ntdFjZ7mxX5vL4tn tcutP+mfJ6abTLyQff2qeM53ZebrsX4c+72RVw75Yeg7j/4LjDrg6w3eI+Bf ij222PcZeydhvxE8ew7//FTVbVn/AqmTvaiPW+Frb/i6I7wTBe9UkPlJ/lQi DqoSBzoqe/TDp9T58OqyqMRYdpLRvCvTboi3bmv7Fk3IE011rM5aTrkjJqWc Smi58JaobzRuQkaDAnEtecjB9Pm3//2eyrw167+xvyryDJFvzLgI/eXBYwy+ +uB9Av7K2LMN+5ywdwr2n8YfQ/DPAlWfI/uLTvQhsv/QquqgBXw+BT73UvHS N/LrGfnlRZwMI06KsVcPe9vft45sPCBf2DFWGb2+8qxThWL73XsTLUYWinUX zz3o8apQ7LjTd9vlf35fy3cM8was78B+jZSD/C/oG41+iecN+Ep9UfA+BL/k 2Zmq+tcD+x/gj1v4x1XVF8r+TfZ5afR3j+gvDOgvXKiTVtTJ3fD9Afi+Brwl ea4i+Veb/PMnjpoRR5vxR2X84alXtn3MxkLhxfhl5/2Jxz/ki7o+jdZd/lwg PvHty3wAoxH7dyPPEvmB6DNFvz54DMFnAN5j4D+IPTbY5469tbD/E/64hn/M VX207I/30EcH0z/70bfJPi6W/mMQ/UdT6qgtdbQ/9eA99WAivFYEr50hPw3J z/XEWQRxpvbXtgm3mvSdf+ffcSdjCfMNWb+Z/buQVw/5V9AneTUAPC/A1xW8 si9ojj2y39qLvSXYPw9/ROCf46p7hxxr4V95P5Hx+B45rpyP7ONkf9IaHFU4 31fglPH4BDt8iY9q2LmR+FmOH4YSX+/x0zvGrfjvK99y9GH9JlW+myJ/Mvoe oV/G41NV3W8F/ljskXEyGHtl//8Zf6zHPy1U9zQZl5Ifk4nbLPhA5rUlfNGS uPeETw6TF5Ifa5A3w+Ajmdcv4auG5J01fKZLXlZg9MA/K/GPEXG3im+Z/3qs l7wg+dYK+Z/QJ/uAMeCRef0dvBL/KOyRvCXtlfbfwR85+Geo6l4reVLW64vw qLy/yTrjQP2SPCz7XVlnysv6B4+Xpj4OhecrUD91qQNlGFthvxn2byCuahBX a8lXI1UcN2a9rFOyfpVjrIE+2V/JfkviMwTvXfDL/mMi9jlirxP2Z+MPWWfm qt4BZN0upB/qT13/Tv8o+56X9FOyL1hIvyX7ng70Y5XpK2TfGErfsYCxMvZJ /74mbmoSN2PJx0LyMQuee8j3BObrsF72TV7Iq478JeiTfc8V8BiCrxd474N/ CfZsxr7X2DsG++vSP47EP29U7yayj3xMf55Cn2mpem/YSX/fij5V3mdkH65V 3WPK0O/KPljeL2RcvCQuRpFvBuRbaXjsJTw2nvogv/VUdVf28bLfkn2i9NdF 9OuCpyzjOfDGg78x9lhi30HsnYj9PfFHLv55rXpnkveal9wXr3LvSeI+2Yp7 URXum0u4Ny3gPnqYe5W8X52V9y3wyXN/wLkbk08F5JO8F+6HpyrD/9bwv6yr LfmW8/I+/oP9Mj9rIl/GmZPq3iL9dwS8CYyh2CPvhfL9xQ77r+GPR/jnq+pd Tt6zl/B+EcM9fDPvG9nc0yfy/lGZe3wFxnnoX4B+U861Kecq83+96h4UCA8N g9/l+00MdXMgdbMR/Yiso/Kdojnr5X753lNBdS9ZjP424DEHn4yHheCviD3l GeW71iXsT8UfB/DPatU7pnz3ucR7WkXehbby3taYdyP5HjcN+fK9rjrnZsW5 7SEfvMmHt/CMDzzTVcXf8t5gTF2U/a/s2+Lo477xLfsRI1Uf0Q158l1uIvo+ oX8qeOLB1w68xuDPw55Z2GeOvRaMl/FHH/xzTPXuK98hHXjnbc07ZSvGWPb/ yVb2x3IuOzkX+Z6UQ7zbwiOJ8EgZ+NkFfk6g7sn75yX6CXmPKqZPm0OfNoP+ N5TvN8xnsP4K+88jLx75/dBXEf2Z4GkHPslfZ8C/G3v2Y58J/krA/n74Q8P4 c/l/38nV7+ODVe/oySq/b1TF8zcVT3xT8e8nVV0LU/UL6j6smaq/TVbdG1qo 7mMDVffcuar3g2+qd5kvqveub6p3xIOq99k7qnfv8f/L/wrTlP+RjvG/0vEA 5X+mE4eU/52S+B8qea3yv1RKrPI/VUpt5X+r1ETlf6zUecr/WqnRyv9c/37L eble7pfypHypT+qXeNT4fk66NT1l30KNTnG1bzv04jXPozdnVHl1Q6P/LH1y 2ajPmuY6Ac+TWlYVhl31dXIWNxSFOU8vLdvSSvwwHnj5tlcH0VnfwHnU8S5i rUu/W8udugoPvi1qKvN/WF+V/ZbIe/tUkf8SfZ9fK/qrT1bwqP1XxHw3W22D NU/yNW/a/ih2/fpH82dleYeCenVF6dZ+M59vbS3ehcy1H7OimxjXzmBRpcYD ha7L3ylPWwwXeuLe1YyVXmJs1YAHBndGC1O+OzPfm/UP2G+JvKfIr2Wv6NOg vz7+Up9vAfYYsP774UeD3v40FYcmng1rVaajeL/Ce0BqmqsI2nD1yp+9XqLL 5vENOw6dKL567nw0UW+qGNt0xNTOHWeIc6F/1swfMFP047uE+VDWz2T/H+TN Q/439P3CPw/Bo46/a/hf+m8Q+xMaWRx+cn2QmHzx3aEUz7FC98u3atObTRPW +3x0n+8OFkFzB803OB4iltyJa/aq/3yxYOn7zS+6zxffbyvff5lvxPq7n5X9 i5G3HfnR0h/or0G8qfPjVWklXsw4j4/Ym4m8Czurnn/sNkM00yty6F03RKRO ebTKbnWImLpvd8+ggJn/3KMMU7fqTxAeVmZjx8wZLWrrKt8r9ijzv1n/pbyy fyLyIpH/AX3t0G9H/Krz96OjEt8PiZ9Azuc09m9B/rs9FVZEeM8Vtpcjb3lb jxZNta/ebCuZqv3xa5yIbb5IW3uYbsmYqsu0bfm+kqnMF15R1t/erezvjr0f kT8Lfe/R34B8U/PLBfJxNvE+jXjqyHnpByr+OHBB0bf3VsJbnzGh2m4/E5zb t4zUns8KnOR3b512feqmJVM6rNcu57uE+Wu3lfVR2LcZ/zogPwZ9Y9Ff4bqC R81/TeGP1uTnL+K/0jwlvn5yvoH4b8sPRX/nod38aldcr031nO3S5X2EtkZc ePtlNku0OaOU7ybDlPkC1u9NV/bHEg/VkX8WfWbodwOPmp9Hwnc14JOt5OtO 8uPWX4P/ibe2f5Tz3HdK8dfcEQqez+uSrOz6DxedN/Q5/GHlYlE8T/l2AX8F 1rv/VvbrIm8f8k+jzxX9Ajzq+pEEP8+C/47AL7fI360WSn5MHaHE32TOdwv+ 275Jwffi2Nh6ugYbhHaj8j3gkDL/lvWZQ5X9N1oq8tojfxn6vNG/BDzq+jYc /DWxZwT2Tcfeln8U+0/gz6n4ZxDnO3Ku4j9H/Pl4sfJ9ZaQyP4X1ZUqN/5/9 Jsh7DX/dQJ/UP1DlT3n+NsRDb+LjGvFyg/hZsVeJp2NpSnx9Id5WEJ9W4JkR q/hvIPFwdogy70c+PT6p7G8Rq8ibiPyyXoq+tujvqopPmU+55Lsn+eZK/jmT j/3IT7tLSr62u6PkrwH6P5PfUZxv59PK9z3mF5Hv6y4q+29MVuT1Qb4L+mQ9 /p7z33yX/FQBvnoDfw2Gz57Bb4bw3Rf4sxJ8aJah+OcifPkO/owjPiQ/VIGP pu9S9t+Dj28gfyn63qLfTMWfku9/Uo9aUA9eUh/8qRcDqB93pHz8mwtfdSd/ L5JvL38r3y0539Gs18VeD+StR36ZlYq+hug3VdUjWT91qaffqK9rqLdZ1N8N yMvHfsnP/YkvmW+ryV9LvtOZH836Q+z3Qd4u5EeiLw/97VT1XfYjtTYr/ckd +hWdI0r/Mof9sr+Zz/m4EU+fybfpkh/glzV8v2c+kvXT2V8L/8Ug/xf9Ui/6 ta+qfkn2d/fpP73o/yqxvlq4Yl8jzuMT8eNOvOuTn5XhkwHwXxO+26j6z68y /pB3F/99wz+u6H/5+r/9p+yXT9E/72K+jPQv/V514kX2Bx/JxwHwxyD4biP8 7Mb3eOZLWF9D1c9bcb466KtDfzxM1c//X7kfLVfuc8dmvM54s2dpgCaMUf7u e2rUj3YfNmvsV2Wmfhu5XtNLuReeePS2es8JE85oZjq9cQ5en6FJVO6PSQ22 zYl77/NM8/VT94UH3O9pzij3zOQfF/WiHYt0xCiTEfNaTvyqGaDcR5PjHZZX GFbORExOyX/5wVpf3FXurSmJ1Z5Mj+rbQuxp87DQ2Lu2vN+m7l1om2c4q63Y k1d57N07jUUz5R6ceq1Lufvxp4RY8r2X4X6NhRig3JdTM0ckzfG57ii6lmm2 olBrJfoo9+rUM/y+nPXy99KOipxjyJdyDqD3DHik3hRwzpH4wanFrn7YK+36 gh/u4x/pB3P8NhJ/Sr+9xM/vwhX/Sz97ci52xcp5yXMZXvzf85OjnM9Dzhj2 d8u9nNM1+6xGw/hxyWndOZvfaprP3Hcyc9NrzedmsT9eiqpiR3KH2Td2VBAb X1XWPFvUTKy9t+WDCG0oitMSU8t87yQSitu3f6FnJ1qvCPKpPbGvyBmf12S/ S1exb3fFMsbH3IV1eo27Ht37ipBVy0P66XqK79vvNvsWM0C4/7VMeBQ6Wuyf dexrusUg4cn3J+aXsr49+zOQp0V+C/QdQ/9d8GwBXzp4N4E/AXs6YV/9pYq9 TtjfknEq/mmrinvp/1Gc02vOpwny9JFnf2fr56zW1UVnRt9kw/mlmtiI+Ynd 1pvMshKGrZYP/Vq+h0i9EhneM7Cr2Nlnd9vIxKEiv3BMgOXQf/wwfF6+6X1f YfPh976R3b3EvQ5lW5inTRa/h46tUBIwTlQITvMs9XSaWBWxuMupnf5iTYD/ 2WKjmWLkrMW5gQsmiVl8+zDfnPV57P+EPA3yJ6MvD/1nwBMPvr82Ct614B+P PVbY15axJvb3xB8F+Ge6iidkfC8hD2oS/zLOznFOw9Dnhb5WOT0bj6vaU1Ri DOsa4DPSxFPEF+47LZ6PEAntt1m7LZ8kHpp/WRF/b4KwHW7fwdxilojo5Hhn zz/2l6xZEvWo2TxxbOeB2wvcZ4smc4OuvtPMF97vq08dM3CuMLFe9q7H4Pmi 7uNtscU280Rzvnsxf3aOsj6O/TUiFXlbkf/RQ9H3G/3dwHMBfFHgraayYwL2 LcXeDOyPxR+2+Ef/8395VfKHPjyjd0nhl43EfzjxH805WhF3SeBZDZ5FAR67 N2ZOFkcZz7pUPvTBLVgYj462y+43W3SpuKpwad/5ouk174ZeFf65P4zds714 8Bxhvs1m35OrIeJc0Rv3IE2gGBnpP3WK+xzhFLHNyOaEj5hiuGpz/ozZIp7v LlHKvDvrh7P/oq8izwL5fdHnjP7P4FkBvhDGbeDPxB5j7DuGvSew/yj+qIJ/ XFR1SPJzV3j8BPwtee08vHKT/EgnP75zzp6csyl4dfsrePd6vO0S4DxfvGGM Nnp00Nd/uljT99bUJ01miaIB8SHrcwZpjbo+3t0g0U2s7t66ms+I+dpBU5ZO OPPdV7t+5qUH22yWasfWKNdqoHWgtj/f/SYp88O6KetHaJT9ei6KvHvI90Df MfQHMTYE3xDweoO/fFPFngvYdx17b2L/GfzxEP/MVdVtWf/GUydPUB/z4Gtb +LopvBME78SRP4/In2bEQRhxkII9xwwVe4qD/vh2vemrvRCsjF9Mel7eU2Wl tur0XftyzJZqnzYx0bzIXKv9tOGsfuvTa7QBWlF8qut67Yh3T7aEjYnSWvEd sFGZ/8p6qxnK/uF1FHnmsxX5jnOVcbexon8neBqAryZ4TeGbHdgzC/t6Ya8D 9l/GHzn4p1DV58j+IpE+5Dz9hyl1MJE6+Bg+1+uo8PlReCkNnnPcruTXPPK1 c0clTvr1U+Ikdppib6m6ir1z9340b5mxTluJ8WiXoetjYqO0XglFfQ1HrdPW GfNzU9ChZdqCv7n9f+2O0nr6KN+dmb/A+lHsD2Y8X1uR35HzmYX+Hd0VPMPI f3/4oCm8+gt78qhXf7D3NPab448L+Oemqi+U/Vs8fV42feI7+out9Bdh1EkL 6qQTfO9AfdgCrx17ovDWnMlK/mWSf32Io6XmShydj1f8EYs/OiQvrzJ12lyt XqoyBg582MR5QajwvPT68YDrVtqJg5TvzynK/II0ZaztqOz/jLyKyM8nrlN7 KPrd/RU8RfBq/hoFbxnwm2DPIOxrir2bsL/aDsUf7/HPKlUfLfvjtvTRefTP W1V9myP9Rzj9hz911IU6+sJAqQcNVir1YEl1hdcezFJ4rfCtkp+WJ5X8HEOc 6RBnG4sVf0Xiv7MfG40tVxIlmn9Sxqd8fx6gzFc6qazfw/7DyGtI/reGD2ai 391QweO1RsEXS/3StlTwr8GeK9g3HnsHYn8G/riHf0xV9w45bsS/V1j3nngc j5y+nM8C9ERyfqXxowvx2Hm1grNhoHL+miDFjivEx2Xs1CM/T+CHeklKfMXj xz2M9vjxMP7TJS7diF8/8n8L8ViE/CrE/yrq023qVxF1fzp4s/Hj43eKPWtl nGDvYOx/gz/O458s1T1NxmUE+f6LuK0HH8h7wy34ogVx/wA+KaSP+7RV4ZvQ p0reGHZT+EiHvHoNP04g7zbCZ6nk9R3yU5+8PY1/fRKVuPvurXxn4b9J7HvE eAl5a5B/GH7shf6TnRQ8UfBOJPxYg7zOxJ6W2PcNeyWv2eGPAvxzWnWvlTwZ RP25AY9epz7thGctqF8l8HA69a2AOuNO/dOnzmyjPpoPVHi+LPXajrpqSz2Y jf3LqL+7iKtA4uoM+fqI7x7E8SnWJ7LfCrkL6QPezlH0edNfvQfPJvD9vQpe 6swp2b9jX1vs3Yr9+fijEP9kqN4BZN12pR9Ko64fpF+qS93PoJ+aTl9Qmn7r NH2PEf1YR/qKBPq1bvRxmxi/Y9/H/op9TsRNF/rHGeTjFPIxDl5dCM+tYr4S cbac/eXw13r6nvLo02ccCB4T8DmAtwp9z1v64QHY9xB7+2B/Iv44hn8iVe8m so+sTX9+nT5zH/277MP30t9n0Kdm0f93pI8N5X5gRZ/7hfvDHvDbgT+auLAi LqrTh/ejjo6jrtqEKzw2zkCpDzVWKd/W9AEHWF+7i7L/MvLCkd8LfSfRfxc8 tcAXDF4v8Gdjzz3s24W9Z7Ff3md+4h+N6p1J3muuc7+uwL1nHffJGO5Fc7hv 1uPeZMB9dAH3qmWM8r41Hnzy3Otw7nXJfw351AqeagtPdYH/X8L/XYyUuvqC b3vmW7Be7vdD3h/y1Qh9bdHvDp754IsE7zrGBthjgH27sPck9q/BH595l5v0 +b/vcvKefY33CzPu4S1433jEPV3w/uHPPT6Q0Rr9FujfwbnK+1UJ+TJGdQ8q gIcOwu914fcm9AFh1M1o+pHlfMs+z5b1Z9mfj7wU5Pugrwj92eDZAD5L8JqB X9ol333ssDcL+yfhj174J1j1jinffaJ5f/zLu5Ar721feXd8xqhBfh7yp3Nu azk3+S71lXw4Bc9YwzPyXSsJ/v5JXVxBXRxJv9GTfmO0qo/rxfxa1hezX8pz Q74N+grQ/wY8h8F3Wb4/gr8Ie+S7YAPeyywZJ+IPvXf/73df+Q55+Y3yzvsm S3mnvM4YxH4T9rflXAw4l2zi3Rg+2AqPZMIj8h01HX6+SN07Rt1rQD+RRz/x hz7tEn3aEfrfi3x/Yf436w3Zfwl5l5Av39FT0H8ZPLvA9478jAB/a+xxwj75 DtsF+8fzfiv/vwhTvZOr38cXvfnvvJfK75mqeI5Tvd/3VvHvClVdu6jqF/JV fViKqr+1Ud0b4tT/a6juudmq94Ng1buMm+q9q7fqHTFG9T7bSfXuvfZ/+V/h VMCwbNPLhm3aXus5PmHSRLuHDUKzD76Pbtt/rYPrSp8Y+9AzLeZ5v1rQbv3c xavST2raL9TpMLvBxRvt302aknFwvbODp86ebQH7oh2iBj3p4L7gkoPzyMTh VZML//2W83K93C/lSflSn9Qv8ajxdRg67Ouwhus0x+71nt1vz0nN3OcT05v9 KtKk2xvHh33TFeHeA0vaLjMVUeVyXc6ktxGOOR9+9nriJOZ7dxjrZeAqNMci 3SoWuAmnmyVjk1oMFYLvhcx3Z/1m9kciLwH589CXgn4D8Kj9l8782fzGA5Mf v9T0GN/13aEtVcVSh0U1JwxpKbra94m5+rO7mDIldLLlGQ+x/FINnfe1JwiT OPsd4bumi5sh1Q/PWTJHzLz6vbefY4jI5bs282Gsn8H+LshbgfxO6CtA/xXw qM93Afa0ZH3pz1HXd8+yFQEVJlrMeNVfhL+Me3oheJzot6Ry8yVec8TACu2K 3iYvF293+V0+krJWePRaGW+XEy26F1U2O2y9Vbjz/Zr54awfwv4VyBuPfB30 dUN/KHjU8XcC/wdi3zj2W0576p+x2F+4tNQEXh0d9s+9dMzQ92vWi5yukaOc R+wWx/cdXOQ197CYGhayZorjUfHwie/gzAvHxCS+U5nPY/1T9rsjrx3yJ6Bv A/rPg0edHxHES2vOYwH2DkDeg4dDfm0+Hy3yduf3dWhxSIwaP+l9G4tkMa/l x1qjXbPEqZBRHkvaZYubcYlmI/ed/fd7DvMjWP+U/Q+RNxj5S9HXG/1bwKPO 343Etyfx48r5PMT+QuSXDRk79NyfNLF3bqNBu/afFa1jAg4+PntVRO92nRBh mit6+rr1WVg9T2zj25b5Q6wvz/4XyHuN/AHom4f+GPCo+aUH+TiHeHcjnnI5 r5H4Yw/65kQvX2XZ+rrQHWw0/VDRTdHn4+xf++feETOGxtZfqskXA/jWZ34R 6w+zfzTy7iLfA30b0N8fPGr+WwJ/GJKf74j/ZOJrLudniX8kvvCRcdq7r/JF c4f5nlNsCkXy3Oo+U3oUitZ8RzFfmfXS/8HI0yL/Jfoaoz8cPGp+7gXfXYRP ZL7OIB+0xNs6zrMb/rIET3/rnCpbzhSInuN3FCQYFwh3vtsyP5D1Mj4ykTcN +VLfI/T3BI+6fgyAnyfAf13hl/vkbx75IYi/iZzvcfzXA3zTDb4axFTPF335 1jIfxPou7L+KvALka9AXgn6JR13fnMB/FnsGY98U7M3C/jX4owv+Mcdf3fGf E/gG8t2GeRfWr2d/CvL8kT8QfQXod1b5U57/UuKhuio+04if2cRTC+KrDPG2 gPiTeOPwXzO+lzFfgfUy/2W8n0D+M/Q1RP8yVXzKfJL1dz75Noj8u0E+upGf MeRrEPlbGv1d8ZeMBye+pT0hrD/A/qHIk/zfB31r0e+kynfJT9vhK1/4ywU+ ewK/3VTx5z70meMfGQ+diT95vtbMx7Jen/1FyHuJ/F4q/tyn4k/J9xvg/07U A1kfBlEvZP14jPzh+EPGQzrxdo38kN9y3pv199j/CHkDkb8Yfa7/Sz2S9fMC 9XQh9XUi9VbWX1fkFUn/cl7xxNdE8uEO+RvAdwrzt1gvz0fWy47Il/1ENPov qeq77EeW0J/Y0K/o0r9MZr/sb/pwPkOJp1fE/xDytRv8MljVLw1T9Uuy/wpE /t9Pij5v9Eep+iXZ312m37tC/yf7wUjsc+I8xhA/y4h3Y/IzBz6ZAf9d57uG qv8MYn935K1BvgP6nqA/S9V/yn65Pv1zGvOyv87G/zJ+Zb/iTD6ugD9kPXOF n/vwLef7sj6W/ZuQdx35a9B3D/2Oqn7+/8r9aEOI6Y8m07Pb3Aj0j0xoHaIp YJS/v9r4vU/v/DjNtwijBB/9WI1/4hv9fi56bc18z5XNj76h2Xswocgv74pm 3aLcpJLARvaPfuR+8Dj+VfPiqzDavuONJmPx3b/lXxm3Swl1aT3xrIH49aZy DW/X8qLowgYbs9yidkeO6GSO8rUQEc9/31jTt54Y9tJz2++Dq9ovihkev3Kq Ruj3PHetaJeVsD8T72vY3cDBrCTKvfqE3uLro94vTAe3E/tnNjFLOjbdoVpS rVPrWw4SWueFHmMHdRaPPE6LtHsnHDocfWI6MHCIuFT3WLnsUo4iy673z1VO tx0c+F2ul7/XQM4X5Es55uitDh6pdwk4N4Nf4kzDrh/YK+3KxA/38I/0wz38 tgF/Sr9JP3/E/9LPupuUc0nkvOS5PFKdnxzlfDFyfnCuVgeHjQsuvqVxYPzw 4v6hNjp/NVWHxo8xevNTMz5tSzWrBaaia+nn2ZpntYXfsEEx+qc6CNtWtz6Y h7cRZh++tdsQMUAELz2z/VatnuLX/TnrbX97i+YT43tHnxoi2gZdPB23copo evZmReuP3qJpNbdPLbyCRI2qe1elT/cTrd6WKxw8fZ6wqn50q3MVf2HDd1Xm G7O+GfvtkNcC+VLfPPRLPDbgGwvezuD3xZ7y2PcNe9tjvxyr498yq/8b99L/ ezinupzPuyGKvC/IO9yzuv6fNg3FUUbrFlVcSm11FMV3DUqiCzsLzxqmRwJ/ jhBXXixrOzV9iEhfPXTAjy5TRcivnSt06/iLhjo9DkWXChMTzx89Mz43WHzW O7fkd7k1ovbFMXlx9xaJjM7Gvl+rbRRzr7ZIs1u5UiyN1JkyZ8kWsWHqGvtC ywixhO8g5tNYX4v9X5A3BflN0LcU/VrwSHze4H0FfmlPIvbFM5Z5qdhvjH+b 4Z8DKp6Q8V1AHlwn/q05Jx/O6bFKX0JiVM+yczzFEcZLDu1HrvcNEp0Mx103 bTFTRMbkp25sHyFcpx5c6tJ8uTgZl2JSxmC7sOl4YGVf440irV3cjOEz9os2 ry2Tm3jEiH1u9p77gxKEjrvph5zZ+0SqjnPW/dHHRJhRettP0/aLJL5LMb+X 9fbsz5DykC/1DUL/FvB0Bt9t8CaC/yijLfa9wF6Zd/3xx1v880XFq5I/PsIz kmfNiP/hxL+WcxzBOXYEz3XwzC08/fuz/hoxjzGn+qrclZ92iZPHb7XvMjJG hK2Knv/icaJ4eXK+240W8eLwc5O3z5ZkiFV7Ora7ejxJ5Bt17VQSdlq8NRze ediyDNHlcVF01d5nxXOHa4Epydp/v18xf5v1q9mfiLzXyF+MvtPoLwDPIvAt ZCwAvyP2jMe+HOydjP0a/JGLfwzf/rcOSX5eDo8fgL8nwCv14JUZ5Eca+SHj bD3nnAHeG+D9UPNshQ4+x8Rnxp4uhc2uOJwSI248fVa5TJaY7NUq1f7tRdHM o9VXvbPnhIXrzpbPv+WIlYZdhyduuSwinceGe93OFQUBUzecdL8qovhezrw1 65uyfyryRiJf6vuG/u+Md8B3Drxbwe+BPZnYF4q9TbF/Bf44j3/2quq2rH/l qJNzqI8NVHztC+9InrMjfzLIn2fEgYy7YSp7on+br4jfdFlsZvw+f+ji6+fy hEmX13Wv3cwVFmfrnnKacVu0CH2+4PSBm2LxtfabPtbIF3bDY55OWXfr329L 5m1Zb8r+0qGKvL3I38PYF/3Sv0vB9xa8V8DfEXuaY18g9uo+UOzviD+24Z/G qj5H9heyD5H9h5mqDtaEz0vgc8lLqfBSBPkl87URceJPnEh/leC/TM3Lrgm9 74h0xhoH9m4ZlVsg5nyuNunbsAKxcljRXZ9/7vHB+21W5/3z+2q+FzBfk/Wn 2H+GsRT+rIe+aeg3B088+KLAewb87bDnB/bVwd4O2G+HPzrgH73H/+0LZf+W SZ8n+zs9+otm9BfTqJOZ1ElZD2R9eA1v3YK3FpF/Lci/JsRRU+JI+qs6/jC6 X/3FgDaFwpDxdlOTSnE9CkTf9OBV2x8XiEK+6zBvxlib/WHIs0a+jFsr9C8F zw3wSbwHwF8ee05jn+wLLLHfFH80xD8XVH207I/P00d3pn9uRN8m+7iV9B8L 6T9CqaNp1NEi6kEn6kEOvLYKXmtOfs4hP6cTZ8uIs9746w7+ajk9N6XZkPx/ x1aM95kfzPp17J+PvCXIt0VfBPqvgqcd+O6BNwX8C7FnGfatxt622N8Jf/TD P7dU9w45puHfTqwri/+tkDOF85F+LM35SRzPON+O4Azj/FdiRwPiIwg7ZxA/ i/FDNeIrDz/lqfwp4/MuY23WR7F/oZSH/OboC0f/QvDYg0/iPQZ+aY/sU2di r4yj+vjDRd7fVPc0GZcf4Ed5/zOFD8yJayNVv9xW1fetgG9k3tSHj5qRV8bw VUPy7gR8VpG81GesjH8W4R8n4k5+y7yvxnoDxgzk2SBf8qPsA2RfIPFJPpd9 qJ3sQ7FP1oPm2N8afzTAP7qP/3uvlTxZlvrTBB5trLq/yXotebitqp9+Qv3b C4+7Ux8nwPOyXn+lznxhTMJ+6V8Zp7OIqwDydbbkA+absT6F/T+R94sxBn2B 6Jf91gHwvQBvOvhl/yHvWROwV9bZ9vijPf4xVr0DyLq9in5oOXV9iupePE32 U/QFA+m3ZN+TTj82n75C9o3d6DucGWXf44d9RsRNE+LGlHxcpuLVFXzLetVC FeeyH92J/N7ok33XD/AsAl82eE+Dfwj2NMK+2dj7B/tX4g/Z98Sq3k1kHynf iVLpM61U7w2n6e+z6FMF/X8Ufay8z8g+/BZjCfhlXzmcuDhEXDQk33LJt3nw mKwHF6kPDnwvUtXdxuyPQ94oVZ8o++/b4MlnlPeZHeDvgj0nse8S9jbGfif8 kYd/5H1G+k/ea95wX8zi3qPhPunPvUjeN325Nx3jPirvqbcYQ8En77Py3M9x 7q/IJ8kHkld3w1NPVfx/n7p6TFXPJC+Hsz8TeVL+GfSdQv8m8Ej/5YP3LuMJ 7BmHfa+xdyr2D8UfN/CP7rf/vsvJe3Ys7xcvuIeX5X1jHPd0+d7Tjnu8vXwf Qb98P3HgXOX9Ub4TyHuQPTz0FR6yhd/l+80vN6VuhlE359KPLOL7L/OprJfv HPK9R75TmKNvMPplHsl3Cj/wJoFf2tNG9e4j3yks8cdP/JOheseU7z6feX9s wLuQBe9t33k3K2Y8gfyxyH/DuU3g3C6SD/JePgee+QnPTIK/28Hf8t1Lvj/O ot9oQ7+xnj5Ofst+pKmqj7BH3iTVfW4h+luA5yr4ZoL3A/gDsScJ+8ryXqbH OAx/dMY/+qv/++4r3yGLeOetyjulDqN8v5TvkvIdTsatC/F+iniX77jH4ZE5 8PNS+Lkldc+CutecfsKYfsKYPs2RPq01/W9XvuW8XC/fcZsizxL5K9C3AP2n wOMAvtPgHQj+d9hTE/uaY6/A/kb4oz7jXdU7ufp9/LFq/rvqvT1NFc9lVTxR VcW/e1V1raGqX9BX9WHq/vaO6t5wSXUfK6e655qq3w9U7zLVVO9dFb/99x3x qup9tq7q3bvJ1P/3/wppY69N3ZRpeOxjwNvStiMmHnexXrmoyYPoEzEvWgas GxKTNLWqyQqj+wuSnx6J8ko7pEnJqLxuxqb0Gyk7jq43jlvsnJp1/JVOrfXR qXXjyzoETr6UWqlM4/Hl9xb++y3n5Xq5X8qT8qU+qV/iUeOz8DlaaBu1VfO8 8OWe+ifPaKbYrRqQtP6ZJuPG1psnm5URV9Ma/A5LMRGHnq4KSciyEGWmbRr4 MqKd8Fh/fPkGS0dxsLV3zvub3UVw7UqLz21xFmv47sv8r6nK+nj230OeFvlr 0HcD/XbgUfuv1l1lvnzlMWbT419rKoevuVi5TCWRNi0nx66audDtOT9/x+QO oqFzSgXdqN7ilYNXhGORm+i/adXywsqewr/ZiFydQG8RsWFBx0pHfMQ0vgcz X8j6bux/5KzIy0X+pZWKPjf0S3+pz3c19hxk/dJZHX6ENm4hXNbfTO6W7yh6 v411PDVhsGiy9MPXmuHeYuzxRsPtJviL0NjyfX2fBIqUHvvK2MyZLgZGeCUN GDxDZPE9hXkz1ndgvw3ypiF/JvpeoH8GeNTxdx7/p2DfTPbfv/NwYcT+IaKS 51KdwW/GCU3V5j83XZkqSrfOs0yaFyQqV/IO738vWDTruXeu0blgsWb9tVoj xwQLm97K92l9ZT7ZVlnfhv0myCudr8j3Rd8D9Es86vx4Sby84zzqYW/RKEXe grjNCTNXThcBG+26XosOFn9GnN/x9FWQ8KkcuqxV8BQRO8zSoNUlT5H9Kq7H 0ZkDRKab8u1RVZn/MFJZX5f9Qcj7i3xr9L1H/zPwqPNXxncD4qch5yPtd0J+ xVK7XlUJmClGHpnsWPjBVZz8ZnJoTtNp2o3ujtYxdgu1rVouDk/wWKw9PkT5 9vyizJvvV9bPZP/dDYq8dshvgz4X9Mt8VfOLHvl7knhvSDzV5nwvD1f8MShW 0fdxSb+RJxvP1758PSan6ogIrcHIY2+SYyK1Fc+1Ni78FKntM0r5XvtKmb+2 WFk/epey/xXn0Qj55dH3F/1f4Qc1/7nBH93Jz7XEfx3iL7CScn5D8F8M+AJK yrm9vxWpdTpVc8KBXSu1o+strvi0wmLt2DPK90Hmj7xR1t8sUfZPIl5iiN+t 6PNF/2DwqPl5FXw3Fz65Qr427qXkwxIPJd5iOc9y+C8UPK9TJtru2dhLO6qX +dfjl4PEh+3Kd+5pZb6E9R/ZX2+IIm888qW+Aeg/Ah51/ZgOPx+E//rCLzHk b42PSn7sslTib3m2cr5D6yr+c+2t4Kv0o171Or9Xidsuynd4bebPKuuvs1/v tSKv9gZFfnf0Sf1bwaOubxHgH4c98dh3GL7JGKzY38JN8Ycd8WdyVvFXmZ2K /4z6KviaH1K+c/D3Mvy5n3zbOlyR1x3+ykDfHPSHq/wpz7878SDrx3zixYr4 jK6ixFPdH0p8GRYr8TaW+NvC+Rbj3/fgu8F8B9a7flb2ZxGfv4jPMPRNRH9H VXzKfNIh3y+Tb7XJvyj4uRH5mRWj5OunRUr+WpMfK/DvTfK9Ht8J5HtamLK+ /SFl/x3kpSG/FfqeoP+dKt8lPyXDVx7w10D4TPKbEfy5/W/M//Cf3h5FX0X4 cS35MctGiT/5HUB+PwZfJ/jzJ/zZCfnW6GuP/usq/pR8XwT/P6QeNKI+WFLf sqkfWuQfwB9liYdPQ5V46/ZUyY8W8ENt5ntTj2Zh73Xk1UZ+O/SVp9/5qKpH 6vp+lfoq6+1J6rs18hph/xHOaybx9Q5+MYMfEvg+w3ywjB/2d0TeFeSPkP0E +k+r6rvsRxbRnxyiX1lI/+LHfnvs7STrG/E0nPi/Tr66wS+FfC9nXpf1sj42 RF4A8ieh7x76d6n6JdnfldDv9aD/O8/6m9j3jXjQJ35uEe9e5Kc3fCL5L5Bv Z+bvsb43+/U430vIv46+9ugvUfWfsl/WoX9+xnyo7K/x/2PiZQ/xLftzd/gj Ab7bAj/H8t2H+fLwiZb9L5CXg/xN6PuN/qWqfv7/yv2ozsmWJ2zGZh+7OaT/ bZ3ZizU5jPL36bori2s4H9WkJT31OZp6WNPiu9/1uULvRFPjx5tjx9/WnGwe s+LN2xzNupOVil19GyWtXXgxrcqPL5qLy4rONyku1hz7/snStNA4+b7v9Z1W I6sJn0OzfA6llhG2JVu/rTtTlPzzba3eUSGNRJpRshiYYiTWWFq8r7BxVcqe 9cdd27yyFaN3bAs6sraR8MrecnV5e4PUvWtC9bLmaMScj/5DLcdaiWX1Ny3c uHd6qveIEzbBmU4iMMPS0XOvrXh+18S/8OqJVMfqOfu19Z3FsIeZ3RpbtBFV 9ay6TbS7ndqR36eyXv7uiZzJyJdy0tHbHzxS7z5wasEvcZZglz/2SruK8UMm /pF+mIbf3uFP6TcNfg7C/9LPozmXL5yXPJfmQ/97fnKU8y+Qs4D9x44fNkoz LtDcZyxVv0b0/Lm/NSOSplRPvPFD07lN+o1dpWoLhzptun/MMBL9HpyvvOB3 KxGwfJmP4WcL4dy5TuTQz11FcMfM578rdRLFh3ptL2gyQLTNchxc6aOzqGvv 66Dd6iHiLY4MCdMbIA4HzS7766uXSGkS1dGlv5vQKxz112iUj/AeueGUx2t3 8bVA+b7K/F7WH2F/WeRZIv8h+pagvx94/MDXGbwa8I/FHmvsK6qn2PsL+78z +uOfQFXcS/+/4ZwMOJ+ayPuKPM9ff7Nfj6grujPWc98SHq1jL0JNWmy+3NZO LLs3t98Rh76i4+D1m/s07SmsKx63yI0ZIQadcKpTttkQEbKi04wtM8aJwx/e VL9s4y26bHv+MOrjZJEe6LSj7Ivx4r5xo5EOE6aJ2I1tDDasDhDN+0ase9R0 hpg3rWXnVbUnCw++A5nXqamsz2J/K+QdRX4A+jzQ3wU83cG3B7zjwN8ce8Zi X3/GN9jfD3/0wD+3VTwh4/sKeeBH/NtxTsM4p0D01UVf6ljnxIrzXMRpxkZr T1yuVHG0+NM6Kr7Xq3/65bkf3evUnSwKp65+N+D3RDHbPeRw/R8zRMPy9W/t GzdNZF6r8O55nWAxL8khsvW6WaJp1UGxXyvMEVVWDE0z2TJbbL3Qs9miiGBx rce5RvqN/ukH+DZhvj/r+7H/LfKqIT8QfdnoNwbPL4kPvBfBf5JR+jMYe4di f2/8sQb/5Kp4VfKHLzzzDH4ZQvx3Jf5bcY4y7r6AxwQ8pRe12pr8TzzoM356 7vrqhHOQ2FXR7k9c+D9+SlzXxz7/n/vN8tpffX4Gi9wszzl5vWaI7UNjp5m0 /ccvg6N7/uo6Xgy6UXIros8M0eJ8Y5MrHm6iyF+zxdJnmriZrXz73VTme7F+ IvvbIu848osTFH2X0V/hhYLnVZiC7w+jjer8I7GvE/b2xv7p+OML/pmjqkOS nxPh8a+Sv+EVyXPtyA8n8uMk51yDc5b+MgDvsK3Zy3uGBouy25Tx2dDTj4Y1 myTevGs/74J5oLg1sUOlTQNHaX3czLfPvW0vSmztH7ntmqetZRh+Nkfjp/Wz 7txpy95F2vq1Tbw6HwvUetso36eqKvOD7ZT1Vp7Kflc/RV74e0V+wnBFX1dw 7GdsCr7N4DUH/1PsaYV9btjrjv0R+KPMO8U/x1V1W9Y/T+pkNPWxGXx9D77e De+Ewjtm5M8K8mc4cRBPHHhjz0APxZ52hbpP1tb1094uUMZdDUesaKpdqh3/ p2BlUvQirUOanpljyhptq9iPReuPrdI63w2cuqUkUruh1tnSk/au1lbl22+f Mr+K9RHsN22kyFuF/My7yrhomKL/MHjOgm8CeCPAXwd7FmBfGvYWYX93/JGE f4ar+hzZX8ynD9lA/3GIOqhLHbwKn3eDz4Phpc3w0kDy6wj55T9YiROnACVO dmHvFvx3vGRldI/FkVpjxgkHe5RbbLRG29XD72CIR6Q25PaMVT6vl2i3hw20 q2+4Rmt7R/k2Z74f6+ewP+ebMj5Ffhn0ffZX9Kf1VfCkgO/oEAVvMfjXY09r Vf1zwP4E/HEC/2xS9YWyfxtHn+dKf3ea/iKV/iKMOnmPutoRvp8H34+C1wLg rZMGSv6NbqPknw5x5kocNcQfA/BHj9ezix3bhWjbvlPGN2cW+602ChQ+1g4T uup5a6ucVr79i5X52W+UcSv7hyJPxukv4nYJ+V8XPEfcFXzjwVsG/DWx5xv2 bcfeJOy/gz888M9iVR8t+2Nn+uh+9M+e9G2l6OPG0X+Mpv/IoY5epo72ox6U XFTqQZKJwms28FoX8tOO/JxFnO0l7p63UvyVlKX462fezLb3xHKhuamMi24o 4zD82xX/9mf/YOTdL1TkF6NvCTzrD57Ecwq+PQEK3mHgz8Ue2V+FYO9H+tZx +MMd/3ir7h1y9MO/nViXiv/L4cdFnI8jelw4v5rgKE8d3XxJwdmrhnL+R7Fj EPExET/WIn5u4Id+xJeMu3enlNEJPx7ieyXzVYnfLPZ7Ie8DfvRA30z0N62m 4OmCH78Rj+fAb4M9A7EvEnvLFv63/++Ff6ao7mkyLkPId2fidjd8EE9cx8EX T4n72fBJThUlL4rgm1tuSt6spw4fIq8GwFeLZV7Da4/Iy6WMt8nbLfBhroUS dy35TsPfs1m/k/E9/PgW+Um/FX1H4BXDgQqeHHjHDD7vSF6HY89P7EvDXnlv SsIfU/HPaNW9VvJkT+pPFDxqRn1qAs+mU7+awsN/yyn17TU8vZr6dxUef0d/ o52g8Pyme0r9vEsdWMyYgj+rY38icaVP3E4iX635lnF3m/XZ+C+deu2L3EnU 7Y/UmQzqtfcpBV978B4FfxXqdUfsO4i9zbC/hazX+MdD9Q4g63YC/dAB6vps +qUn1H1n+qmp9AXH6beC6Rs20I9No694tEXp11Lp4zrR/wyj/6kxSbHPjziN b63Ejc1+JR+zyMd78FwdePYV9eoRcf7pl7L/C/6yx3+D0VuHsR79Y23uA+vA 6w/+XOyZhX39sPcF9i/HH8n456zq3UT2kfLdRL6jjKF/H0Yfak9/706f+pX+ 30ret7gfWNDn1mUcCP5Z+HcmcTGZuL1N/qeSb7Pg1fbwWCP68FzuM3bU3anw h5O7sv8v8myRXwd/9UJ/f/CYMpbj3tUY/L+xxxX7umGvK/bL+0x5+vBI1TuT vNec5L74knuPvF87cy+awn1zJfemDO6jbblX2TFKf0p8qzn3qZz7NPJpA/nU HJ4Kg6ec4P+r8P9f+oB4vj2Zl7w2m/2bkBeO/AD0xaK/IXjeg689eO0Z47Fn DfZNw155LxyKP37jn1Oqdzl5z37J+8Vs7uEWvG94c08fyftHLe7x8r3iEPrD 0f+Tc+3KuV4nX2aSLybwUHN4yAt+z4Xfjambgrp5k36kB996zH9n/Rb2y/ee WsifiL5U9PcFTwn4ZDxcAX8T7GnIOAh7PbBfvvdE4J+yLf77jinffXx5T2vD u9AT3ttu8m50ndEP+aORP091bk7kQwfyYQQ8I+9XSfC3Efx9nLp4UPYF9BsV 6Ddm08dV5TuC+VjWH2O/GfIOIP8T+vqp7sny/cEFvBK/tGc49n3E3mJGvROK P9zwzx7Vu698h/zEu28o75TTGN/jz9bsd+JcQjkXR+L9CfEueUS+d0yDn3fA z62oe2nUvYP0E2PpJ7Lp0+R9wIv+15XvU8x7sT6W/TuQ1wT5B9En3xf04LUl 4HsN3v7gD8OejtjXDXs/Yf9k/BHE2HXof9/J1e/jeap39A0qv6vf5b+oeCJQ xb+XVXVtpKpfWKnqwxap+tuxqnvDHNV9bK3qnjtG9X5wRvUuM0v13vVU9Y74 S/U+e0D17t37f/lfoUR/1oGIqn9az6j5xNswfJCdZ+DY8U6zFrYteSeGXFq3 3N7z1vAzwn1Cu2vhjSrEtTdvf2LLycz9lTLbl/r0+LBtdiuHgqEDnd26LnSI O9THesWjow7dN1R8N0LvzL/fcl6ul/ulPCn/X33ol3jU+GZ6lcrNyD+s6fR9 immVLjc1JXF+Oq1HfdOsd13SuX2cofgzM1DHf66VOFax9OjnNbqIuBtrVzZs 3V/cu7c84v74ocLMtVvz5xs9RfOqTT/VajhaNOD7AfNHWJ/Cfp1ZiryVyC9G X3f09weP2n/OzDfp7Jz6KfaXZvbOz6uXh9UX4eYWB/MqO4hGVVI7XnjnKsIt zmpEPR9xKyb0wtnIQHH3Tjmzs0vniManxoze4r1AdH+hpzn9d6Ew47uQ+Zus X81+U+QtQ/449LVC/0DwqM/3NfYEsH6e1d5vm7sIcXBntfnTt//jr/DBg79/ mSx0a4aXD3JbIPoMP3rois9qEdtvXp3DyzeK/iM1rpa1t4tw4+xp9jk7RC++ 98l51pdnf33k7Uf+LPQFo/8DeNTxF4H/Z2DfbvZXd/+QMcp8mkjMcLxaf/0y kRlgt0MbHi3GTDPY4ly4V5y3GNvIZm28uJ1/c6Zn5DHR/cIy94kGJ/79lvPj WZ/F/jTk1UX+XvStRn8MeNT5UZp4qcN51Mbe48i7M6ZGqe5G24VeSLXQHdcP C/3HaVWvjEoRcxesm/jgWJYw29jJopt3tqgUEp96KfWsaMj3POblemP2FyAv HfkN0NcM/XXAo87fJOJ7IfEjzzcF+ysif93LXwYmNTLE3ffzk4ennxVlDjz5 WdrpqujgmlEyN/a6eN+kwT7t4lzRkW9d5p+xXu6XeM8jX8bDWvRngUfNLzJ/ c4j3vsSTL+dVEX8Uom+5Qci6gCs5ok1yC51NjW+KiiPyc0Ojb4uB7eIGeLnf EVX4bs98JOufsr8a8qYj3xV9j9B/Ajxq/iuCP/LIzzjiX8aXPN+f+xX/2KDf 5MXs6CzdfKHz7EEbv7kFwtxkX2/z1AKhz7cZ851YXw7/BiPvMvJlPr5AfzF4 1PxsDt/Vg09cyNcC8qEu8daG8yyNv8qC517Qi+1jDxUIncX11vcdUCCe8F2Z eelfGR/1kXcH+X3Q1wz9TcGjrh9W8HNn+G8F/NKF/K1Ifjwj/npwvmb47/ci BV/BqQf9OhzPF3rgtWDejfWv2V8OeY7IXyr5DP2twaOub6bgr4s9PbDvJvaa qvz5d7jin59PFX/l4b9f4H3Etzz/yvizHftrIy8P+d1U/myi8qc8/0eq+JT8 fIH4mUM8/SI+rYk3feLvB3jr4r/S4DNm3p71Oqr4PIf8Xeh7hv6nqvj8/8v3 seRjOfKzgHxdRv62RL/0rzPnWwr/tWZ+Fesfsr8C8vyQ74y+e+hPUOW75Kd0 FX+Wgc+SJb/Bd6vgv3vok/kv40HGr72MD+YfsH4j+w2Ql4380ir+PKniT8n3 evC/7A/qUh+SqRf3qB9VkF8ef8jzMyHedMmPWnxLPqvO+mrsv428f+sn+ixl PVTVI1k/t1BPl1BfY6m3tai/sn7K+iTP6zTxJfOhM/mby7eM7wmsT2X/CeTV Qf4u9G1G/1ZVfZf9iOw3fehX5tC/HFH1S/J8ZP3YQ/w7qfolZ74PMC/X67Hf FHmJyJf9WRT6dQ6r+iX6uwH0e83o/6ayfq2q/5Txe4N4v0N+yn6zm6r/vKnq PyPZ3xh5q5Dvj77O6O+j6j9lv+xO/+zE/Cv8ux3/GxEvycR3PPko+UPWM2v4 uTnfz5lPZL2W/bWQtx/5pfDfOPTPVfXz/1fuR+kpM8PulTnSZromd6924gbN FEb5e6mH6Y8zP57W9O3m3K7rNa0msiCz6vY1H+zq+OsWnar2QtPCfMD4QyMe abIa3nh/oG4l+/1iY5i5Z3lhNiIjZMHuP5oLF7vf94so1c7YzayMoWtDUVC9 QfMHD4xEUq3LEzvWutqukvffWNHTXjxfFJXwYEJz8aLU1guHW8xo/yjv4fB3 ds5i2AzL1S0d2olTRh5XzhX+bL8oPqRiq+xBYqXt8vozDbuKzLMz32WOGuXQ QS/iwIydI0TVj3tqJP52Fi+CzMWSxTscLtb4G774oJcY59Mjat+g3kJc2h55 O+ekw3l+r8J6+buUI+VLOUvROxI8Uq/EWQx+idMIu25hr7TLBD8Y4R/phx34 zRR/Sr+Z4Oce+F/6uSLn4sV5yXOZrjo/Ocr5DsiR+7u+bOff8tIrTX/Gb/42 7sNDqoqlRbotukdWEhsOF3t7HLQS9nEWY8avbCZihjyy2Lqgu+gQd9UtpmoX ERETv3V8hofQydu56OLggSLvyrydoupE0enKmeUXK4wWw82cqy9eNlNUGVq5 /IbPE0Qv/68GXRfNF0fy994MbBAoNhVFRu9ctlA4dQho1ObkVLGR7zjme7K+ Evs9kNcB+bno00V/OHjagW87eG3Bvwp7grDvPfb2wX43xir4p78q7qX/a3NO tTifAOT9QF7ihEcLr3S2EamMxs3GnK0R1lfMuPtpzo5PvUQlJ8dKtyPHCGfb PRP2GI4Wd+oXWJSODRKXgg+0XXlzqrB/4ZLSqd4yccNgwr5Nv0LFi65nf50P Xis2thgQ9rPLCnF3egOr7OZbRPRes+PL/daIxMRaf+vM2iHafNZG7X8cKeL5 3sh8Puvl/lfIu4V8B/TloL8QPN3BVxW808BviD1J2HeM8S/2L8MfzfCPuYon ZHxXJQ+iif+mnNNSzskPfUboK5mcPe/KirHiC6NnufwvD1fMF3EbfvRxHDdP vLN/Pcj2ZaTYv7WmZkmN1WJSnwk93HN2ilaXKmp3tdwiRt6O+tHc6JCo1WFe wO7s3aJ9jfEXYq8mipAtDfI+VT0gvI2v9vpw+LiIaulXMMDw0L/fc5iX62uy 3xN59siX+g6g/xN44sE3Fry/wP+HUcZHIPauxn6BPxLxTxsVr0r+uALPGMEv LYn/LcS/4BwrcI4HweMNngSdLlH7568VRxkrj+r2opb/XrH03XFHw/O7hf3+ kLbGbY6J2AVuaXvmJ4hmv4oMXFdmivSgHjv7vE0W99yuvP914bSY38l49Pnw TJGoeRwd6HNWXHr4bL/LgJPiGN8hzN9nfSb7LZC3H/kO6AtHf03wpIBPjuPA n4w9BtjXA3sPYb8T/miOf96r6pDk50J4XB/+/par8MpyeOUM+ZFPfuzjnN9w zgvBWx28th+HTdh75Lhozejz3btct8hT4t3uIR3S/bLE12/+NY4dvyiKd5Xs dD17TlxucGS2/oYc4bJi4NSWTpdFpUnth13tnyuMzrdqte7eFaHPt5y/yvp3 7P+JvI/IH4e+tui3ZzQG32rwfpFxij0PsO8a9m7E/krwrBn++a6q27L+9adO 3qU+tlbxdQ680x7ekfnjT/7sIQ5k3L3BHum/90JMjOpyWXxiLNXSZ/7Dlnli 79wOs0NdcsXwh9vnl992S4h6TrYRb28Il+Vj78Zb3BHOFUJrPb9wUwzgW857 sf4A+8sh7zfyfzKOR7/0r4zTOPDOBH9X7BHYdwd7H2B/D/zxHv/4q/oc2V8s oQ8Jo/8oSx0cQR1cD58Xw+e14aXh8FIa+WVOfj0nTj4SJ7uw97eVYq/pqIdj 3oy/LcwYiycbbSv6my/GfTGc1XR2vjh+oOaTIUcKRI/vNqNGlioQKXwHMP+B 9U3Zb8FYHn9K/8o4fQOeFuA7CV4/8NfFnvfYtxl7x2J/A/yxDv9sVPWFsn+r SJ/Xkf7uAP1Fb/qLddTJ+9TJhfB9B/g+GN4qgLe6k38XyL+2xJE7ceSLP17h j8qOBa/fXioQlRjdu/3dXN2/QMS+brNhd3KBGMF3DeaNGD+xfwryvFRxLfO/ H3jugm8eeCX+UOwpkn0A9rpg/wn84YJ/Gqj6aNkfj6SPvkz/rFH1bZb0H7If WUMdHU0dPU89iKceVIbXdOG1TuRnd/LTkTiLJ8524y83/FW15e5RYQ/zRXVG A0bpz3jWZ7C/H/Jk/vdAX0X0SzxHwHcWvF7gj8AeaZ8N9kZjfz/8cQv/zFLd O+RYGv/Ke8g+/L8BOZGczxH0BHN+nuCQ8ZgAzp6cf3nsaEN8OGHnKOInDj+U Jb4G4ic5VsZ/g/n2YKzO+jT2+yPPFfka9Ek/9gLPIfAFgVfin4s9sk/dgL2b sV/G4w38U091T5NxGUq+2xO3uvCBvDesgS8KiXvZ97UjLyQ/FpI3z+Cj8+RV DHw1kLwzgc8ekpePGHXwj/TvTuJOxq0+85IPXjNKnh2J/Fj0yT7gNXjugE/i tQe/tEfatw57+2B/HfzRD/+sU91rJU+6UH9knbGjPo2EZ69Rv2SdsVP107uo f43h8dfUxw/wvKzXv6gzcqyF/dK/Mk5l3HYkX+W3J/NDWV+f/bL+l2EsQZ/s rz6Ax1zVZ3qp+veX2JeHvZ7Y74Q/1uAfX9U7gKzbj+mH7lPXf+T+9158jn5K 9j176bcC6BvC6Mda01e0ol/zpu+Q40fse4d9Mk5lPbIjH8uqeFXyrKxXcv1u 9n9D3lfk+6JPju3A0x58EeCdAv5D2CPvk+ex9yb2y/7xA/75qXo3kX1kHv15 DfpMO/r3VfShXejv79OnHlHd/xK5H8g+vAZjG/Dbgf8tcdGIuHipyrdu8NhB eKwc9UHymjPzsi+Q+SrvM5+Q3xF90n9G4JFjEni/gv8E9jxU3cOjsL87/jDH P+9U70zyXlOb+2I97j1tuE/u5V40mftmNe5N8l7qy71qDOMJ8H0E33LOPZBz 30c+jSCfklU8NR3+HwX/Z1NXR/A9g3nJyxnsl/kp81Xqk/rfg+c4+OT9ejzj X+ypoXq/OID9vfCHFf5pr3qXk/fsJrxfHOQeLt+P5D1dvn/U4x5fn/EH+uX7 yQHOVd4fD6jypT08JN9nDOD3W/D7bOqm7AtW0o/IbzlfoKp3r5Enea4j+uQ7 yT3wyHcK6a/SUxT8ZthTl1G+a23C/q34Iw3/WKveMeW7j4b3NPl+LN8fv/Ju 9JoxHflRyJ/Fue3j3OT9fgX5cAGeuQ7P3FTxt7ouyn5Dvj+2UvVxcl6+V8r9 Up6Ufx998p68HTwS32HwzgX/DuxJw74yAYq95Rin4I9O+GeM6t1XvkOO4Z23 Gu+UFeR7JfuN2L+Sc4njXLoQ7w2Id/mOWx0eKQU/P4Sf5TvuEupeZfqJLvQT ifRpV+jTnOl/r/KdwLxgvXwHlvI6Iv8J+sqj3wQ8XcAn8TqBPwF7pH1NsHcI 9tfFH3UYZ6jeydXv49NU871VflfHcwcVTxSr+Pebqq6NU/ULG1V9WH1VfztT dW8wU93HNqjuub6q94NvqneZYtV7l5PqHbGD6n3WT/Xuve1/+V9hwau9XlPG /j26enV+puWswceHTUtp9sct7MTamz2XvspekfSnX6ffZVZPTB72y9Wt2L5p inOjo/38fLQpHyecmBS82jbVeofb0sQGYakH9tuI72eOpbY9lVBv6Zsz/37L eble7pfypHypT+qXeNT4TC/M7P7EMVFj8HJP50vNb2milw25eSr/s6a6tfm5 pq5VRdmsj887lWok7F1tGuz5YCvMd61IaLRVCN+tfi2SA7uLGcmFBt/Degtj h48VL/j1Ff58BzAv17dl/4+TirxvLRX5geizQr8eeNT+M2Q+uUOVbhke3zW5 Lz12jB9mLIotTZ9HulqLXC/rfiYZXcTLQQ+e+a3qL+aGRL8I/jZUGKbo2JfM 9RK+pdvuz433Ef3b6u9ZeGuMGMp3aebjWH+P/XnIO4f8i+jbjP6m4FGf7wTs +cP6VtYxFTK72IrDgy7eLb+ph9i6ZkXy1tAhol6pCtY/rvmI5f4xPd4f9BfN XneMcBgSKNqZFlm9HTNNjLZccN5Ef7rowLcj8ydY/+2v3v/s34C89chvjr4X 6F8MHnX8fcH/ydgXwn6734HR77I8RHY7h6HJJ8aLt2mNzJ/WmCqGtalZeXCX mWKRWcmpw16zxNHNd1uZ7ZopPEbVTB1bfaa4Ea18BzO/k/VV0pX9H5DXGfmL 0ZeB/rrEmzo/vhAvNzmPY9j7FXnl3i4NSp80TbR56hTk6zFL1B227+m3QdPF rRNbfLrr+Ik6NyO7v3k9QFzUebqmYc224nC+8l2T+dtDlfXxRcr+5sgr316R fwl9T9Bfm3xQ529L4vsZ8WPC+T7Ef0OQv6SFUUHZ9EAxa1DEh4cr2wiblMzt uXlTtfl2Kbc3Bodqw1Y3vLmpcpjWiO9dycp8TzdlfQL7NyCvHP5tgL4C9PcD j5pfqpKPScR7NvHUgfNyxX/NRin6TD5eaRxYNFd7uv6EXS/cVmhHNrX58Mhw tdZzXpesQ6NWa7+ZK99nTJX5wvfK+irDlf2bkBeB/Lvoi0B/B/Co+W8E/FGW /LQk/g8RX1+PK+f3CP8lmSn6l1kO6qU/eLX246aIGfZGy7VLAvvVKGq4SFvM 93cLZf4u9pjh39fJirxtyB+CvgronwIeNT8Hw3f94JOO5KsB+TH6thJvu+X5 4j838PyYf6lCVJCv1nDia9Njtr4iN0T5Tme+I+tt2yj7lxYq8h6Sb7XQ54H+ ieBR14+/7RV+toP/RsEvTWX+fin6n/zYFKHE3/wQ5Xwdpyr+S/VT8E1zGDk2 3W+h0BunfD9n/g/xoEf8ltNT8i0Q+Y3R1w79DagX6vo2FPyjsacV9vnjz1X3 FfvT8Ecs8bcIfy2bp/hPO17BZ71A+T4QrczvYb0x+1/BD2n40wx9k9E/R+VP ef7jiIfKxEc14sWd+DkEv8QSX9bE5xHic+dmBY/Af7fBL5iPIZ/qpSr7yxPv kn8bo68U+meq4lPmUxnyazP5lkT+hZCPD8nPe1OUfLX6pORve/Rvx1+6nG8F 4jGrgTLv+EVZ7wmftfFQ5J1G/n30bUJ/d1W+S36yhq+08NdP6ttR+PM5fNcU /lvrqejTkP+zWyvn+WCVEn/nON/kJGU+tK+y/jn77yPPGP7UhT/vot9KxZ+S 70uoR7IeHKI+XKQe1aF+nJP8jH+Tk5TzSyfeuv1W8m1mnvLtwrwl6w+y//Ib Rd475K9D3yP0G6vqkayf+tTT29TXCOptH+rvZeSl4995nFc48ZVCPkwmf6P5 DmT+MOs/sf848uyRvxl9X9Cvq6rvsh+R/clj+pUW9C+b2H8Sez8TDxeJp1HE /5MGSr52gl90yV9n5p+xviznm4a8aOR3Qt939C9T9Uuyv2tEv7eT/u8l659g XyHnIftHWd/+Jv9/1Zx1VJZN1/axW8FAMRC7kxBQGUVBwUIQMRDBBgQpu7Cw sBVMBCwUW0yUy1ZEBVHSws7bQFTsz++d39zfes61nvX9/f4167xmZu9j79n7 2HuGtZD5OQM+aQn/OfNdi/zdyPps9l9HXhry76HvAvrra/pP1S/r0z/XYV71 15Xwfw3ipTPxbUQ+usEfQ+C7H9QLf77HMl+D9arfqY685shfhL4u6K+k6ef/ t9yPsq98+z7A9GDC08PWP0zsN9tkMarfmyxML7Ux+5JNgWm35UNsz9nY1m1y Y8OQ/KOPTxz7U/vcc5uQXl1KhQ7Ks2nsnrmkq0eF4wuHzHjsdr+oMKiy70Dv 3EKbRo3XPLzbu8gJx+av79S2MhLrz0xedSyhonj7I9hzTkDqCS8923PdF7YQ seOds242ryt65vxYbdt08snaRQceDvllKW7Ne+xcekJzUVJvTt0pNX+dTDLu FBnfupv4EbPlUVBpUzFvVoyVy0jPU689hm0KsXMQDau7rjZe0UGUOzl85epu MafmBHbp5Puyt6jWLfjHMjsrMWHK1CLmq86dmsHvTVivfs9Gzm/kKzmJ6L0L HqW3GjhjwK9whmDXHOxVdvXCD38qS/8oP8zHby74U/ntNn7+g/+Vny04l+Oc lzqXY5rzU6Oaz0NOa/YbPPG9UsftlU1Fxku9Hz168ba0MHz45MCazJLibOa4 9j6jGogvx3zHBE41EQ02WS4M+L/vGUvubihhayoy53XrV+FaTzHrys1WxSJt xYIbbYYNqu8qrryp4HC/RV+RML1t1ao7PMS+/cXmd8kfIBq3Tu7Qo99I0ahH netfeg0WZ0rdS3FdPloc8Fjn9ubZEKHjuyrzLVkfzf7LyEtF/nL0haL/AniO g68OePPBvxN7KmHfQez99VjaXxU/mOKfX5q4V/635pyecT5GyLuKvLBuvp0K fjUUOxitJnYLmdHFRqzo1qhYPeNO4kczvToLA/qLI/kHDY1C+4oPz7tUmujk KT6ajwltaTNU3DUpsiSsr7c46uE24NrUUSKnbNsT03QBoq/tSL+H6//WT+Pu KTtWBwu7SdNHjor3Fykz9UtGvAoRXnadt3YoEyD28u3D/J86cr0L+z8hbyfy 09FXykLqfwSe7eD7DN494DfGnjXYt4zxIvZXwR+v8Y+HhidUfH8iD5YS/284 p22cUwT62qOv7+yt5Y/FOotujF1Dc7Y0GTVSDHVtffK5ywhRM6BMkXt/7X+a MjCkZB8/MblJ03r9500UefEv+0atCBafW1R6+Lj1FPEsqEfMt12TRJeRP3v0 aTRF9D09b4rnu7994u61yQO6Txa2i64/3mA6RRjt4Zv5U6w/zv7TyPuA/Ej0 Kf0tweMMPnvwuoB/GGMD7NuCvXuxvwB/rMI/jTW8qvgjAJ7pAr8cI/4bE/+7 VJxxjoM1eKKq5J13TAoQGxirbspKiDOeLN7X6CjaxE4S1jWGe586P1kMNDZZ dd55igh6El9vVGSg6GfdbcS6bRPFrgeDHCZV8hL1LhgUOvz93cDO8ML6nK5i x8Xtx7ZOnyCqd5ffu8/L+WMP5Xoj9g9+KuUZIt8LfR/R/3ijxHMMfNsZe4Hf G3t+Y99u7LXC/nP4wx3/HNbUIcXPM+DxYPh7CryieO4H+fmW/EjhnCtxzsWM JN4z4NV5Fzco3/Hv/WCcHOftOvDKa+IYEZ98t/PkTr4i85yf5Z/0EbrMB+0s hp401wW8W3mz+ooZuszJE7ecSffVLfI3vKk/bZ7O/tnisl23Bulc/eT3+Gly /inrK96Q+8MuSHmVkL8VfR7gcGJU/iwL3jrgv4c937HPAD64jf0z8cd8/HNT U7dV/UugTjagPl6Ar1fA1+fgnQx4J5X8GUH+NCAOXImDdlelPQU7pT3r7Put Gpfgq9vQXY7X7VePd/u9QFfWodKVyIB5ul+59WITti/XJS9qaOqbtkT3bsjB Ezv/3utiY19uK/YyXFdvqPx+zfwu1gf2lPvLIa9yDyn/dDc5WsdJ/X3AMwd8 ncCr8r/MXmmP4vEE7I3F/tv4Q/UP7zV9juov7tGHnKb/iKEOplAHBXyeB5+f g5dMWkpeem4l80tHvhbJknFSkbgLwl9R2Gt/JzzkxOcVOmPGr8OalLvbYrmu qk38lpd6K3X6XrFlXoeH6Xp+rlojsOVyXYSn/F7K/GrW/7wt989AzmDkd0Zf KfTvSZN47Mn/4fDBRXj1IvaULCftG4q917D/JP64gH9+a/pC1b/p0+cV0t/V or+oQX8xhjppRV0dB983h+9fwFvu8Fb4VJl/N97L/LuxWMZRIHG0EX84e0h/ dKuffm9tt1DdiHpyfJG+pKxDwgARHD7IosT3CbqVafL7FPNvGcPwpw/yDiB/ AnGb+o/UbzNF4kmCh5vCwwvA3wB7amGfL/Y2wf6y+KMA/7TQ9NGqP9anjx5P /3yCvm0/fZvqP1LpP4pTR9dQV1MvyXrQr6usB1lPJa+lw2u9yc8b5GvpLzLO koiz3oulv45el/76nrTM6tG62SL3jBzb6+S4M0XOV1si179ifyhx25T8XxIj 9ZnDs1vAU8pe4oumfk2hD8hbKO2Jw76B2Kv61lP4IxT/mGruHWr8aSj9G8S6 yvj/FHJsOZ/r6HmUKM+vHzjU+X4QEmco9cIZO/YTH+/x40ji5zF+OE48jk+V fnqHv/TwZwbxaHhDjitYn8z+KOT9QP5H9Dmifx54LttKfGXBaw/+LsRjLPY5 Ye9V7K+HPxbin+aae5qKyxzyXd3/DsIHxsS1A3xRjrjXwSeHyIsl8E0R8qZ8 uuSjZeTVEfhqNHl3Cz6LIS9Vfhvgnzv45yl53YJvU+ZPsm8soyHyuiPfAn3l 4JU3NyWel+ArB14b8KdhT13sG4i9LbD/MP54iX/0Y//zXqt48hz15zw8ep76 FA/Prqd+vafOZFKvb8LT+tS/fvB4J/qPyuclz2+yk/WzJXWgkLE59rvclfbb E1flyM/r5Ott4mw487n4qyn7X9tJeenIfYa+regfT72eRx1cCN4n4P8Hez5g 3wHsTcb+LPxxGP8UaN4BVN3eRD/0s4is6yH0S6up+2Xop1LpCw7Tb62nb9Cn H5tNX7Gdfi2RvmcK/VwG9vlQRz/StxTQD5YmH3uTjxXh1QV8D2G+P+vPEHdX zkp5L+ivrqDPjL5nOngGg+8n/fl28Kv+8T32vaNfVvd09U5gQt9zUvNuovpI H/rzcfSZR+jf1f0+jv7+Hn2qK/1/VfpYdU/YR5+r+vFX9OGJ4PcmLmyJ2wv0 I4I6fwweM+8heUxHfXjH/eYFdfcT+elwX+53Rt6fK1L+VPT1wX/HwJPBuAe8 xuD3xR71LrAfe1Ox/zz+mIl/tmremdS9poD7tTP3np/cJ1tzL1rFffM79yZ1 vzbnXmXDeAJ8VcD3knP35tzv1JH5VJq+szo8VQWeKgf/Z9AHeF2QdbUY9eAc /VUf1hdhf3HkCfJ1Avr0yBND8OwAX0fwqnEA9vzEvrXY2w779Y5Lf4zCPyZV /vNdTt2zXXm/COcers/7xh7u6eG8f5hyj2/N6KLR78a55nGuFzT5kg4PFcBD F+D3IvD7LOrmEepmAf1Iknr/Yb4s63exvwT98zfkP0FfBvqfgKcX+L6C1xH8 HbFH2bcde09jfxP8sQb/DNa8Y6p3n0Le0+7zLqTHe9tZ3o0SGTcj/7DmHagt 53acfLhPPryHZ8LgGfVupu5JvaiL7aiLqr86Rr+h+rjtfPdh3oz1buxPQt5+ 5K9FX3F4PRc8e8BnDt5Y8J/Enijsu4C9aYxN8cdP/FPe7D/ffdU75EbeedU7 sBljGfbfYb8J57KSc/lD/qt3kAR4ZAI8Mgl+rgo/J2vq3g76ief0EzXp01Qf e43+V90PjJhX7+r72a9DXg7yDdCn6oPCo96xBoH3B/hXYI8x9r3A3urY3w9/ 9GCM17yTa9/HUzTzPzTv7V6aeK6m4YkjGv49qKlrLzX9wnfN3xdMNP1tI829 ob3mPvZNc8/V/p1kp+ZdZr/mvauJ5h0xQPM+W8zsP9+98/7L3xU8s24+TXmW bqr3q6F+YmYz84OtEuocnjbIokZY2ICgY54durx4c6ZS266WnhdinDZ+/GH5 odv+Gd+erLYKKPPQ94BbSeu2W1ttbGQ5yDrthWhf6c8i6w9RoQ0ettnw77ea V+vVfiVPyVf6lH6FR4vvuLNjpUYlLtg8bLpuTY+eL2zO2eyfVT6lpAjp1TY+ xbK+eDvzx7KtzzqI1hneV8c+dRD+Q3oeWezhJr7t3PfFN8FL1JkStk7EjRGP x7YLHBAxThjxXch8AOvbs/8D8vyQn4C+e+jfBR6t/3KZ77NlyIEdN8qJuwEP sz+PbS7KpX3d1Ta4u9hW+cn+0UWHiKgRHgM/jvUVq2KXh8Y0niICFt7Ubfs8 RxyuM7xck2Nhoo2YMXLz0kXiEN8TmFfrt7J/O/LKIz8Tff3R/xE82vM9ij23 WR9ywHPbb8ue4njn3T1r1xohRhfziUm1mSSeGrf8eP1AmHBYPVvP23eNONuq Z86TDpuF36CzFR6vjhGbmg1uN/dprPDm+zTzfVn/gv2eyEtAfhD6ctGfCB5t /AXi/8JUad8B9rd5b6ufWX2aKF1QOiH48XLRZ9ekJ6nuUWL0gBGn+tTdLSY2 Tu+SmHRI9Gy2zcX+4FExtGC7rk2z48KB7ynM+7Hejf3VkWeD/KPo08e/c8Cj zY/3xEsE56HsNUDe7Bm9F7iuihEj6/mF/9//U2QxNM/69bBTomna0pz5v8+J PV6djk2dekn0PDDtsefpy2IX382Zt2K9N/vnIM8Q+SPRF4f+orMkHm3+tiG+ lxE/6nwdsX8U8nfN9E3v+O6M6PVbzBx35rLoGfB78LGLN0RNU5c93TveEpmN H6+sWjZdGPPdj/n+rD/EfoXXHfkqHmLR31Xlm4Zf/MjHRcS7I/HkzXkp//VG n/XKKpMmT0gTTleGn+864474J+7E9M93MsVTvZw+lZdnifd8D2S+O+sHsL8j 8iYjX8XvZvTPBI+W/37BH37k52XifxLx1Zjzs8U/vdE/MP7loqiO2eLoCvfe ITk5onDdP7Gz2+eKRL49mFd4e7O/GfKmIf8C+qahv9guiUfLz3Xhu3j4ROWv yoedxFtVzvMl/joCHpujbXL3z8wV21J6/IoZmSt68J3E/AfW12a/il9H5Pui LxH99cCjrR8v4eem8N8G+MWN/O1OfqQRf3c530/4Lwp8KypYvG9qmCt28q0X IedfsP42+22RNxj5a9HXHv354NHWtxrg34U9Y7HPXuPPavjjKf7Zi7/M8d9m 8NnyfZz5AtYbsX8b8nogfxz6jqO/vsaf6vx/E5++xIeOeJmsic9OxJcD8eZI /MWB5w3+Pcy3il+Vbw7sV/JCkH8SfRPRr6eJT22+LybfepJ/48jH9uSnPflq Rf72RP9j/JXD+T7huy/zNqxX/KT4Q/G/Hfoi0R+iyXfFTxbw1Rr46wl8Zg+/ ecJ30Rr+7IZ/VH7dIP7Utz3z/Vh/mP1jkafq00P0bUe/lYY/Fd9/ox5FUw+8 NPVoLvVjNPLb4Y8mnF8M8daJ/FDfar4z68exfxbyjJCv6t+B/1KPVP2cTj0t S31V9dac+lsZeT2x35fzCiS+upIPih/Ut6r//qxX/YGS1wH5h9BXA/3TNfVd 9SOqP7lOvzJR0y+Nxd48zqcP8ZRE/Htr+iUfvs8x34/1z9mvzusU8iej7yP6 UzT9kurv3mj6z3usr4J9OzmPVcTPcuJ9PPm5Dz5pBf8dUPWCebVe1W/Vzxog PwN9w9D/j6b/VP3yAfrn+8wfx55p+P8n8av6cZWPP+EzVT/+gZ8b8a3qsVov 2K9H/C1Evro/FG8m9V/U9PP/W+5HH6Yu3u85e56Z/+nbz4rF7bOZy6h+33Xu usvejEybDIeCw2NLptt0GftiVabhZfMv2at/HZ1ZaLNld9Ee7SM+2gQsqF2l xd5HFisizH9V964mDD12ThxvXF4cnLeilmn6nQ79JrRalHKotfhtVzv67Yz6 4my9IoXiTaxlyFDXpKeNbMWBfre/36ptJj7ceht69kEvqxvmGxrrZfUX3hXS okRHWxG6fMYCz3m3rPLnfy9nOmKYqLzvz9bvp3qJtuv3Dmtw0tQ6Y89cy5bj RommCxOjB13rL0LXHv1e4kqItbXzwjPVSowTSy0ul/zk7CLO9klvObHhOmtL fm/EevV7JnIqIl/J+YRehUfpvQnOI+BXOKdi1w/sVXa54YfS+Ef5YRF+W4Y/ ld/y8fMN/K/8fIBzGcV5qXOZqTk/Nar5i8iJZ//ScR+26ux/2EQyVr0Qn9Z8 fm3xRv/Vqk/Fa4r2BwvqZ1pbik8buved39dMlCs6vo3eQydRd8qbnh8rOwr7 7ifKe3iPFH6BH1OmnBsqZl99frLd1iCxdMGi3ElHxokGOyN66yrOEiVnGdYO XhAkIjO27V+xer74VD5zS/9lk0VK/IjExaUWifaXf+jnhU4VV/nOZ34t60ux vy7ywpE/E33+6O8BHmPwlQGvwt8Sex5iXyXsXYP9qxmP4p8sTdwr/y/lnN5x PpnIq468ZF3Xm7EjrUUm458lcQZ+h11F84yZYbp8FzGqxswDpp38xNUq79aX uzNO3G3tFZjlECo8dlz6XH/vVDFtbneLDNflorXDxJ8/uoeJnvNXNfpxP1KU jBjW4pb7SrE9Y/frt6WiRWbQH1PjxWuFwW8Xi8WLY4X70sPhWfUjhD7f6czH sr44+x2R1w7509E3Ev0Kz2XweYO3Kfj1lkp70rDvJmNN7H+NP37in00anlDx XYI8mEf8P+OcGnFOddH3G//plQttb5owQfwqK0ev/bXaXdoyX7SuOM3DXn+e aJt9eFxEswhh+HRVSjv9NaKueQfvNu+3iXFNbhkbl40W6+ImOwX67BfbO7pW 7Ptrp2g3ZFa4KDgiPm72KdvEa6+477C5/ogrx8Sh553ziv5dd49vNW/KerU/ Enm+yK+Pvuro7wCeNuDzAW8p7CjLWAR/Nsbettj/HX+sxz8NNbyq+OMTPNMH filP/Jcg/s9wjiM5x5bgGQWeOM9hjzY+jhS7Gc9teu8xbH+cuF8xcYzZn52i 3poHr666HBW7f67fsHX3YRFdL7FX/GCd2OT7+eGEDydFi6VL5h38ekHcbbli Ts2hOuG6dO7GLr6XhfmAxfPa7DsrBvB9n/lWrN/M/p3I24f8huh7iv5r4DkE PjWOB78p9vhr8qoS9rfEH/74p7L9f9Yhxc9x8Hgg/O0Or9jBK67kRy75UYVz bsc53wXvRfBWLf1k+56/8WPIGJV7pExy2nnhWu/ns44nzgm9yluC/SZeE90+ Hqpb//gVEehmP75K5zSx8nd29uaXKaL3rjt2UVm3RExYs2ELR9/424fK71XM B7O+B/tLIG8w8rehzwj9dRiTwfcCvCpOa2PPfezzwt4+2D8Zf8zBPzpN3Vb1 z5M6eZX6OFfD163gHcVzPuSPytc44kDFnfKX8p9z0dq9PZ6nCBdG53WNrqzf mS525RkZLsm8JSI/JF+6/ChD3G98bdcwhzviasxS62kjskT2x9MDTWpkiBS+ HzG/mfX72D8YeR7IV+N29Cv/qjg9AN5m4A/AnrnYZ469Ydi/CX9k45+Jmj5H 9Rcl6UNU31OUOlifOlgCPu8Nn++ElxTPrSe/YsgvG+Lkt4GMk+3Y64S9ZT+2 bbdnR6Yoz/it3ZjxO7vniLigA2vWJGSLkel3x6+vmys+phuaG9nliLF872P+ D+sN2F+VUflzL/pKEqd24FH5vxW80eDfjT3O2FcWe9tifxX8UWqB9I+Jpi9U /ZsJfZ7q7/6hv1hPf3GbOrmDOvkZvlf1IRPeag5vLST//Mi/TOJoNXG0E38U 4o8PV4+Vbe+ZK94zPjjzXOftlyvaP3u422VGrnjE91fmvzMWaS/3H0TeRuTn oS8I/cvB0xJ8imfNwP8Fe+I0fUMU9v/EH4/wTztNH6364/n00R3pn5vTt12j bxug6T/2UkdzqaPtqQf9qQcR8Jo9vJZKfurIz9fE2XDirDX+ysVf6Wec+m9t mSsyNaPypyXrfdlfiDyV/1no64X+9eBR+EzBq/qAfdij+q1B2JuK/Z3xRw/8 s15z71BjbfxrxbpX+F/1vzc5n4roecf55YAji/N1BucSzr8HdmQQH2ewM5b4 GYYfXhJf2fgpk/E2/rvHdx7jZ9aPY/9e5Ck/PkSfI/rDwdMXfCp/7oI/H3uU fSr/bmD/L/zRE/+009zTVFwWJd/TiVs9+GA1cV0Evogh7mPhk7bkRQR805S8 6QgfjSevouGrFeRdcfjsHXn9lvEZ/hmEf5oTd8rfKv8Vn35nrIC8DciPQ18A +m3B0wR8keBtq+lD1X1A1QPFa5XwRx7+qau51yqeHE79+Uidmae5vzWnfvWC h7X99E7qXxQ83p/6+J0640T97EsdUGNR7F+G/VuIKxW3T8nXJL5jmF/FelWv VP0fwDgUfUWoM4PAo+rgHvBq+3cH7GuLvY2xPwJ/FKHOBGneAVTd3k0/lEJd 99Lci93op9R9y0BzT8mlH6tNX2FAv7aZvmMLo+p7lH+3ETeqHt0hH7uTjzfg ue4aflBxvoP9yl9uyI9FnxprgacB+J6AtyH4jbBH2TcYe2dhv+ofM/HPGc27 ieojv3GfmUKfWZP+3YE+9Cz9vepTW9H/t6GPVfeY8/S5Fxirgd8Y/ANUX0lc dCHfGmvqfG94bBX1QX2HMa/4oyv7dyBP9YlN0Kf8dwU8VxkPgNcK/Oo+8xD7 rmCvI/a3xh/z8Y++/X++M6l7TUXui0O496h3kIrcixpx31T3+2LcR8dxr1Lj PvCZgS9P3Qs5913k0xrySfFUK3gqHf7Pgv9bU1fVt5pvw3rVt25AnroXqvv1 Y/SbgicefN7gVffCMtgzAfuaYa+6FxbbKP0RhH+aat7l1D17Je8Xq7iH3+N9 ow339Bu8fxTjHq/G4uj30dy71ftKNfJlBvmi5aGt8LuqX6oP0PZX6vs989tY r+qDuh+MR/4s9FVF/z3wKHwKr3qfKKmxKwt7LbD/F/7Ygn9iNe+Y6t3nKu9p H3gXWsh7WxXejSoyZiO/HfLVu1kFzk3lg3p/dIdnZsAzpvC3ql/q3SuCuniL fuM6/cYQ+jj1rd7NVB1V+xshrz3yF6BPvds5gUfh01fvD+DvhD13sa8O9tZj PIQ/DHKkf55r3n3VO6Qf77zqnXIfo3rHfYt/P3AuaziXn+S/O/FuAo9Mgkd8 4Gf1/r6MuldAX6DecdU96gt9Wmf6NAv6Xxu+1bxar95x1Xu6kp+KvmD0zwRP M/CNAK/exv98D3unfWfE/gv4Q41hmndy7fv4ZM18tsbv0Zp4bqbhifIa/j2t qWvBmn5B24dp+9tIzb1Bex+rrbnnTtC8H5zSvMtU0rx3tdG8I+7WvM/mad69 D/2Xvyvo+SfPDjXbY6r3Yugc+9dFzPXuV0j+WtjWQi9spsG9lh066A2x7B+a Ud1S72WY3vPhty312nic+dbOx0qvz9DZY388sNJrO3377WttrfU2DD1/ZoCX td65+6fWTQr8f99qXq1X+5U8JV/pU/oVHg2+HrUG61y7XLAZ0PPsg+fTntoU /bwxoUWVIqLssjGVmzasLr6Ih6uf3m4mztWa0NTY2FK4F3+y8mjDbuLynM9H 73ZyFOd67PiyekY/oXcpL3PFUSdxje8E5key/gL79btIecWQ/6NA6uuA/u7g 0frPjPnSB6xu+ewpLqLubs3pbGUiup1v4uK5w0yMPzyn5vAYOxFSaZHjvgJn MSJ2QNo4V3exd2nJ9ldCRoizNUf4hIwZLZqvFs3KB4wR9/hOZH4g6yeyfwHy PJF/FH2l0O8BHu35FsF/q1i/s+7Sc/vOdhB7L3oFrCrSW1T/5GDimD9EVDjj tbPV0tGitHstq66ufmKP/my/IUsDxbKiRVfuMw4Wvj2u+M+NDBa2fM9mPn+o XN+e/YbIW4/8A+iLRH8x8GjjTx//W2DffPavebEy0quWh9DdbtAw9bW3GP/t Z8dDdYLE3akB9TP0J4oO6/obru49Udjt+FWrSMMQUbCthuH3KcHiHN/pzBew fj37byIvCvmJ6PNBfwPwaPPDgHhx5jyU/64ir1PkOd91jYOFnWXm9PkBE0VQ JZP4HRsDRenNTUo7thwp8l02Ft2zt4s4FtA1M2lBS51eT/m9aJOcN9CX68+z 3w1525H/OF/qG4r+MuDR5u9N4tuF+CnH+WzAfncrKf/o6+OGr4r5i0OTjT39 9rXWHX1xKqhIi2Cdft+nm8rnzda9shs+N7fyXF3FfvL7y3M577pYrr/zj9yf Bt4VyP9zWuoLRL/Co+WXseRjI+L9A/FUa5o8rxf4r84S8IVsOV0yZrrOx8u4 4f4qi3RrP5Q/9N4kXFfn541880PhukEf5XfQcDl/eJJcXzhK7h+HvETi4TH6 vNA/BTxa/suFP66Sn3uJ/w9rZXxZb5Hn1xP/mHhI/T65dyoWPR2ui4j+1PdO uUW6Mkf9K3m4z9fN4vv8XTnfCnt24v8rxIsb8bsOfXfRfw88Wn7eDd+lwScR 5Ks++dCyr4y3mn3keRZ7L/3lGyvxLPo0bHhlEagrnP+kW9CNP0lzCuR3kRg5 vx1/fyMeHveS8rrtlPJj0PcH/f/ysaZ+1IWfG8J/nvDLL/L3+kyZH5H2Mv4q f5fn2ypB+m/K3sf/g6/L5cTbuT0mCpPeT//ne+IROd/9h1y/mP2jFkt5d5C/ CX0W6G8MHm19Swb/Xuzxw76O+HOljbS/SX/pj934591W6a+H+O/lFYm3Vb78 NsafO1g/mP2e+LMB/tyMvkT052r9yfn/QzzEEh83iZcC4vPlRhlP5V7K+JpH fPbJkfH3DLzBxGcV4tOc+H1JPhkRn0uJ9yzk70DfSfT/0MYn+RRCfnUm3+6S fy/Ix/bk57qTMl8tyF9b9Bfgr53k+2fid5OnnF8xUa43Hyr3/6ko5aUgX+nr hv7h2nyHn+7AVwvgr2rwZzz85gnfWb6V/NdomdR3k/wf5iLPcxrxN8dJfhfH /1/85PpR8Kcv8sYivzT6ZqH/kpY/4fsW8P9w6kEN6tF56kVD6scF5Mfh3wfE w0DqUZ2pMj9K8B3B/DTWZ7O/O/KeIb8++gLQX05bj6ifRtTTAdTXaOrtVOpv PvL2Y/8/nJfiv93k26ztMn/T+G7GvIqfaPYrfOHIj0CfE/praus7/chn+r/1 9CsH6V9i2V8Ue6tzPonE02Li/y35uhx+ieJ7DfOvWV+V/c+p51HIj1f9Gfr1 tf0S/Z0T/Z7q/3awfrim/5xK/PQj3veRn2vhkx7w3w2+9zDfkfWh7B+HPF/k b0NfCfQP0/af9MvO9M9dVb+MParf+6Xp56eSjynwx3X4rg38nMr3LeZ9Wf+M /RWJv8bIL+Q8x6HfR9vP/2+5H3UaOH9KmaFmHp5LJr54t99mK6P6/VaLj99H 2mTYRF03PZG7LM1Gr2/0wOkxUearpiU3n7jsk01yTs0ze7Pe2Oidntlsw5wT Fj9XJFqcrlNBDK+9f9S4RsWE3qmy/v0e7u1Q4k+vMtYX64kdJ0rZfjteTeh1 nOOj32ma5aTvl0qml20vjtdrYukW1VDo1V1X6Y5zA6tRtd8YW32xEZZOHdKH xrYVeml1o0s7xFndM2jy3CjZ/m9+zXk7qG4HoVfQ4M/KweWsj3yYVpjRuo+Y El11XkjxTkLvn7yPqam9rfuXSTz+J8RJNC86rMuFzM5Cr0LwIM/+ftYD+N1D ref3c8j5PBj5yLmLXnOFB73e4ExS+MGp7Nqp7MUuffwwWPkHP/zBb3uVP/Gb 8vNi5X/8rM4lQJ0X57Jac37/jszPQ84N9m+8OuHckOTPNnGMZrFDWtkXryJc NnhXFAsMRPjNPrEZcc3FotfbHiW9bSzu/07s477FRiwd+yJ53BVL0b3DlRCd ZR8x5rtXTMPJ9qJIdteiHmvdxLF2cVu+ufcXr3/rB0728RSetmt3j3VwE5UC I53mNhwl4g7Hl5kTPlRUWOi41qDtGPF0z6XvJWsME2X5PsP80wC5fiL77yAv EfkFWVKfO/oHgGcN+F6Cdzn4o7GnN/Z1wd547F/FeB//bNbEvfL/Nc5pDufT BXlWyLuev3Dixr0txQ3GHg22NhqZaCsW1RjU1HthVzHh0Kadjx66CN+OK/au jOovHBpZ+7p7eonDX6aVHr1hmHDu6nl6xipvcbVfPYvtHf/2hzs2p7bsFiBu B+iiUw/4iO2tPlcdHRok/Lt9u+3bwl9csrxyzTE0WLQaO/yhm9sEcY7vPsxf Z30W+4ci7wny/dG3Dv1O4PEDXwh4Z4F/EPZcwL5MRlvs74M/luCfexqeUPHt SR68I/4DOaelnFMg+uzR1zg/tPOM6q6iDWPu+IzpFWz+xseC0yb2tiPFMd/h czYPmSCqP3xg+LW4n2jSr1aZlHfBYu+csSu3zQoS+xxb9IqYMVHEB4WMfpQQ IjLjS9d8nxIi1nYU/3TymSiikmb5FOwPFodqVWoWNXuiGMT3LuaHsz6T/U+Q dwD5/dDngP6H4JkCvjzwNgF/S0YX7JuNvSpOV+CP0iulf8ZpeFXxRyw8UwZ+ mU383yD+x3COEzlH5a+74OlyvcK2H10DRDPGc3WWLTz+M0TsWvfjcp+DIeLn P81tOjqGiPJfB61IrTtRVIo2HWZ0zVfsN/RrH/UqUPS4PORLla+u4lfRpGuH rviK07Pdqk3vWlS3pvK6Whu7jRPRwfJ7MvOPLsj1btXl/ktbpTxr5Nd5J/Ud Qf9V8Cic3RnV+YdgTwD2TcDeHOzfjD+q4Z9rmjqk+PkqPD4O/u4Lr3SEVyLI j27kR3vO+SPnfFCDd2UPJ9eKu/7ek3vKsXcT80M+N4aLA9UjjlTuN0pcenz4 U/7aUbrX9cJ3ew501JmsWNt46cJpuoufev+p12e8bktmyb0WkXN0rZLqXR3V LEhXOkt+//gg58uw/m5Tud8OedONpPxbjaW+HugfyrgXfDrwPgV/G+zphX0r sLeXhucD8M81Td1W9c+COulIfTwCX3+Er5PhHcVzUeTPaPLHgDhoRBxEYs8v /Pdwy9wNLu3H667HyNFwqN7NHnvn6Up6VbTyXjlHV7/HZM8/t5bozv5sUXbR joU626ytU1x3h+t2P/ni+GX4Yt0dvtsyf4L1/3jK/RXcpTyTKCm/YKscWzeS +hfXlHgekBem4O0E/ljs8cS+h9ir7L+MP6bjn+6aPkf1FyXoc+7Tf/hQB/Oo g+/g85GqPsBLB+GlRuRXEvnVsqGME6cnMk4WYm8i/rO7+ufepvdLdY0YW7V/ /WRiqaU6z9ihDib9w3VnHvnutxi/QBdRqsub6WWW6nY8lt++MXK+E+srsL8f 41rkX0ef2VOpv3x9iacv+BQf3Ad/CvYMxL5C7H2M/bPwx0/8U0HTF6r+LZA+ L5b+Tkd/UZZ+JII6uZM6OQe+Hwvf+8Nb2Zckb/nny/xbtlzmX+8fMo6ciaNN +GNDO+mPyIAzRaISQnWbGIsXafPl4VFnXc+4Ljt25Yborv1q/T/fvZg/NEGO yv8ZyNuG/IXEbRXy/xR8MQJ8keCNB/8d7LmEfa7Ya4j9D/FHAv5ZrOmjVX9c gz7aif45m76tGn2bE/3HWvqPPdTRZdTRQANZD+Y3lfUgQyd5zRGeu09+TiE/ n5WUcVZI3I3eI/1Vv1D6q1p6tWvegyeIGhly1L8lx10/5Pyb3XK9A3Hakbid i/ylT6W+lxlS/2rwrJwj8Q2gfvUGf+Xa0p4j2NcNe02w/x7+GI5/umruHWoM wb/qfrIL//8Mk3Imcz5L0HOL8xsAjgVF5PnOGC9xniyQ5z8dP5YhPnTY+SBa xo8tfnhAfH3+Jv10gvgrfxv/fZffx/BjIHE5k/3fkbcc+XboG4j+8p8lnsKx Et8t8M4Hfxz2HMK+2dhbBj/exB/D8E+E5p6m4rI0+R5P3LrCB4XcG7I1/fI5 +KQ5efGM/uXFRZk3C1pIPnpHXqfCVwfIu/wrks++k9eDGX3wz1T8Y0ncfeS7 EH8Xsr4ZeW0GP65BfgH6aqPftpXEs5T+ygR+VH3rRuzZj333sLcUeT0Kf5zH P//yo8preLID9ScXHj2iub9lUr96w8Oqn06Gp5tS/y5FSR4vrCHrYzB1Zjz1 8w51oBfjMfxphv2/4LmLxFVd8jWV73rMh7D+CPvLUq+HMRZH35dHUv9X+oc3 1Jly4D0L/kTsccC+R9h7T3Pf/IZ/bDTvAKpu76QfmkpdH0G/9Ia6P5t+ypu+ oB/91o++sm/YTj9Wnr7nGv3jQ/qOeg3laBQt7cum3zOj72lEPVhCPhYjH6fA czrFc8yvJM4iibuT1OVv9D2/0duWvqs1/WMJ8G0Ab2v6nk7Y0wn79mPvP9jv gz9G458zmncT1Ueeoj9X7yhr6d+96EN96O/70KeOp/8/QB/blPvBYfrcQ4xu 4L9C3/aeuFhPXEygjz4MH+jDq3m7JY/tpz7UPiy/nzH/i/tMv8Zy/xvyYBR9 4jP0dUC/DjwXGJuDNxP8gdjTBfsCsLcH9m/BH5PxzynNO5O614zhvliBe898 7pPPuBfN576p7k3NuI8WcK96wdgOfBngU/eydpz7UPJpCflkBk/Nhac20I8E wv+mVWRdncV3tWJyfinrG7P/OPJaId8VfUfR/wk86t76Frz5Cjf2zMC+edj7 HPvX4A9D/DNe8y6n7tk7eb8oxj3cnvcNdU+/xftHL+7x/RgboF/du2dyrr05 18rkS1fyJQkeclHvM/B7Ovw+jLp5nbrZgH4kju8w5k+z/gT7XZG3X92z0NcS /XbgGQu+IPA2B39v7HFgzMDeLdjvjj8q458nmndM9e4TxntaGO9Ca3lvs+Hd qCNjKvKVf+dybo85N5X/duTDDnjmKzxzE/7Ogr/vUxc/0heMpN+oRL/hSR9X l++xzH9jvbp3ZCNP1YdP6AtHvz14xoPvNngV/mPY81jzXqbGBPyxAf/s07z7 qnfIZbzzZvNOmca4g/2L2T+QcynKuawl3tU7USw8EgyP+MHPY+DnE9S9J9Q9 X/oJdY86TZ/mRp92mf53NN8XmVfv8/7sf4C8o8hX9TIY/VPAo/DVAO9m8Otj j7N6p8ZeZX8e/njBGK95J9e+j4dq5qM1fr+tiWc/DU8c1vDvJU1ds9P0CyU0 fdgWTX/bUXNvmKi5j5XS3HNtNO8HlzXvMkma9y4/zTtipuZ9Nlrz7n3jv/xd wXP19Bk5Tw6aeq7wWVi0Rinz6EkX7uXnmVvkda0wOvth5w6h62Z37XTS2DLv rrNf7Ldsy7MHX0dbPg6wMkkLv1u+8IlVnl2nTlN2mFuHjkmp38VtjHXbaiVW 5s2d9O+3mlfr1X4l71/56FP6FR4tvvzkWsNuFrlt09rjdOuXbT7bnLbf/zDg S2WxMfSD98JKLcU0j9nHUm27iu4LrH93v9JffDSpc7/VEw9xYce5j/FXx4gu b3ct8TkyXnwIaN0p/Ye/6Mi3mi9gfU/2T0XeKuQfQl9z9L8Ej9Z/TZjPXGda eLh8dfFia8nG7SuZie3XSpbtn9NblB2bfO5Ydy9hVOzlgWeDAoVJ+uhC3ayZ wtDY6titUQtEswYdWg/YvUTUWpr19sPecNGY78rM12d9XfaXQp6S/xx92eg3 A4/2fI9gTx7rT2b0Xv/itZNIHv7dKGTVWNHad+rILoOmC/Ho+DbfPUvE0Z97 zF5UiRAxbfvUqjx0q9h71OZkcbttYmflgruNo7eL7XxvZP4E63uwvznyriD/ FPoU3kSFRxN/a/H/Uuw7y/4BYdcOTj8/Wywpu/msc+oqsazPiW4fU6LF5yIh yyp/3SPOtJx6c//uw+J12bjRRuHHxOIZrQpzfh4Xr/hOYv4n69ewfzXyvJCv /BGH/jjwaPNDxZ8e59EIe5chr/O0WcdNum8Tg+482O0355DIKdLde3qtRJE4 ekLhwjbnhVfus9j1oZdE8c1V7xc9clkM4zuJ+QesH87+LshbifyW6CuP/jDw aPPXnviuQvyo81X+c0d+kwGpiVeWJQmzd5//HPqLJ+39Jse3A2+I/tmTE3c/ ShOVy71bn7b9lnDlO4t5a9absX8E8iKQ3x19ddDfDzxafvlAPlYl3hOIp6+c Vy7+aIe+MU3SZk+qlyaqdp7ytf2X22JN1ICwGZaZItLppHm/d5kigu/qzPuz vhP7HyKvZFEp/zT6WqK/eD2JR8t/yfCHEfm5k/g/RXyd4vyS8U9l9FsbtikY vClLGNZ33168f45o9Ov5+vpnckQdvm2YN2L9HfafRZ6K32j0NUB/Oni0/GwL 39WHT3aTry/JB3firRfnGY6/qoJnaacWk7rY5YpnEWNrR7vlirV8K7xrWe/M /uHI+wf5cegzRX9P8Gjrxw/42QD+i4Vf5pO/vzbJ/ChH/K3kfBvgv0fga9Lf uWN811zxmu92zG9hvQH7fyBvIfKVPhP0Fw+UeLT1zRr8NbFnG/a9+C/+DMM/ lfDXPPyXB77VfBsxH8n6fux3Q57iL6WvLfrtNP5U53+NeNAnPlS8nCZ+ThJP V4ivisRbK+KvHHhq4b8qfFuq+GV9KvtPIE/FfyT6jNGfpolPbb7XIN+OkH8/ yPc75Gdb8nUE+auP/oX4K5zzXcS3yjdv1it+ykbeb+QrfQ3R/9PkP/Nd8ZPj /4c/B8N3TeE/c/Sl4B8HzrMs8deb7xvMd2R9B/Yrvl+NfBv0maC/j4Y//+2v 4P/i1IOm1IcVmno0DPkZ+OM45zeEeCskP1T8qfN9rKlHNshT9bMJ+iqgf4Gm Hqn6uZ16GkN9vUq9HUz9Xa6p76peHye+HpMPc8nfp3yr+FPnu1xT34cj/zz6 Dv+3+k4/cpT+5AH9ymn6lxT2q/przfmo/mcD8b+DfN0Ov6jvrSofWW/PfnVe N5Gv9BWi/5KmX1L9Xfv/0n/uxb5ynEc14sdY03/Wg09qwn8N+a7KfB3WG7Nf 9bN7kK/0vUC/pab/VP3yK/rnZswnYI+KBxW/qh8vJB8vwx/d4bvf1AtVT1KY V+tVf6H6oYPIT0Jfb/T/1PTz/1vuRyavDPzq+HmZndl+wqn9oCSbNEb1u5/R 4uDyy57ZHDqx5tuvnDwbvU1NNldP2mZutHDfYPcaJcSujjfKvjf5bZPn19O3 aqTOwjn2eGuDIvVEg227ui5zMRQB7afW+7jpcIf6nd9dHnvBQhRNy+28dXkL 0eXRInHyZahln0Vtsz5OchAnOqZ7pc7+e889W9kx+WVTq8/XXrfI+uYmxljk LFp6r6cIjUyo2LzvAasspz4JG+uNFKcuuS2pM85ZmIwZ1ulMtIF1XEjJo36l fMT5sc+z023cRF72g4JPq5ytb1kejO/s4i/mm16zeFZnsNCPaFJ10rMg61R+ 17Fe/b4TOSeRr+Rko3cceJTeL+BMBL/C6Ypdv1OlvcquhvihFv5RfuiL31bj T+W3avg5Dv8rPwdyLomclzqXq5rzU6Oaj0LOBPabTCvsfWdOKdGKscuwdV2M JzYWZllf/nxb01BEdD9rsznmb9xnbx3wIKOzMOux7Gqf3wPFSed3xd6VdBZm 8SUDB9bwFqdnTs596TBCtJ1Vtf2HWpPFtWllno0YOUH4Lv7jZFVzrrhU5ple 6sdJYv6BB9kb+ywSnxptTvhyZoZYH9VuUmadcOH+dWJqy8JZf/tA+f2B+VDW X2D/OOQlI781+s6g3wI8J8DXDrx7wL8We1pin7K3KfarMQj/7NfEvfL/cs7J gPNpjDxb5PU/6Dsjv3Y34cY4t+GQK6LeMGFdY/Zs87dDhJeV3c0z/kGi0vh2 K95FTxCX7t02KLl4nmj6wDzfVswWQcazu3jOWSVK2f+curHdErEgsP3Osikb RbWiawftTFktLKbd/B6wL0Y03njSdX63SNG40vNG47ptF/Mu5XuP/LJeNOS7 PvPtWF+V/UpeOeQHo68V+q+ApyL4RoDXEvwLsMcV+9Roj/3t8Ucd/LNHwxMq vquTB47E/0bOabk6J/Qp/+UlfAk8+ST43/HIct2PTh6LxGZjvZ6LtoeJEz0q vYj/tV482mdY8uehdcJn4OJNew/tEOGO1z/OPRAjkoNu3HvV4KCYMW9gxfib ceLjlZWbemYn/O2jT13rb7NfLAoJOhG+5biYN7LRk9S/68L4vs+8Wj+d/SnI W4F8f/Q9R78OPFvAdxq8T8H/gnE+9in/qrw7jj8G4p/WGl5V/JEPz9SFX/YT /y2I/+KcowfnuEH5CzwfmuWNn526UeQzhv2c3vf8/D1iR7l8PbO0OFEx7Fng 1HbHhFHWwSZVVx8Rtc/2mezzVic+27S+u+rQKZHcN//JWYOL4mDTgVOT/9GJ boPO/Cw55rLo1d60w6K3Z//9PsC8Wv+N/Q2QVwf5VdEXj/5V4PkBPjUmgT8W e8ZgX2Xstcb+s/jDQvGvpg4pft4Lj/eCvw/DK+3hlTrkh8rXPM75JOe8DbyL wXuy9trPS//GzynG5HMdP24oPC+imu2+Pf7tOXHrR+tr9pbXRJmAo79nRV8R Nff0v2PyNFX8UzJniUNEimjUbcXh3yG3xOYThk6df10XTfj+wLwJ6yuwPxt5 25Cfhr6z6D/PuBx8B8F7DvxvsOca9rXA3s7Yfw5/uOOf65q6rerfEOrke+rj afi6FXxdDN4JhHeWkz/jyZ/qxEEl4kD5KwV7tu5s98BlbYqIZvzd60SDLZbp wj/7zwKDv/75vPlc2NbeGeJ0VP6K3ZduC/PnQ4Z/Pv/3PjezfNSHJXeEBd86 5r+zPoj9xXpLefHI38Oo/LkdPFXAVw+8k8AfgT2Tsa8i9nbA/rv4o0iK9M8U TZ+j+osj9CGq/zhPHfSjDhrC54vhc8VriucKyK9a5FcJ4uQmceKDvT/w3/Yf x/Y6ls0UOxjLXHSzerA3W8SVdGnb0zBbTMk5H316e44ovn50c7t92WIa3/uZ r8T6ePbvZSyOPwPQp+JUxa3K/1/gTQV/KPYsxz4j7A3C/jv44zn+uajpC1X/ doI+bw/93Tv6i4X0F6pOqrqq6sE/8H0cvHUZ3npG/hmQf8eIo3ziaCf+KIU/ foc626X9yvl3vB7XcNV611wR9MxgQJh1rkjnu9QcOV+GUfnzIPIKkX8WfXXQ /wY818CnePYT+J9ijzX2NcLeZdiv11j64zj+uanpo1V/PI0+Op3+2YW+LYK+ bRr9RwP6j9nU0fnU0R7UA0E9WAmvmcBrpcnPVuTn70gZZ8HEmR/+uoa/Yp5X Kb7eIVdsZ9zBeIv5qayfzf6yxG0HDR8ono0ATxfwKbwLwT8HexphXyj2bsL+ cfjjMf5Zq7l3qDEB/95k3XPicRVyanM+Jui5y/nNA8cuzlf58QXnXw87EoiP ZtgZQ/wE4IevxOEV/HSZMRr/3eA7lbEo8ThTk++WyE9CXwP0vwJPR/Cp/FF+ fIA9DTR96kbs/4M/8vDPDc09TcXlIfI9lrg9DR+oe4MBfKH632nwyTvyIh++ uUTeFIOPKpNXY+GrN+TdZvjszwWZl78YP+NPP/zjTdwF8v2HecWn5Rh3Ie8r 8iegzwj9pcBzAXyKzz+AX9ljpunvw7D/Jv5QeX1Rc69VPDmY+qPqzFnN/U2P +hUGDy+jvqn+15D6VwMe36zqNTy/hfr5jTqjRuXPt9gfRVypuC0k/1vwHcv8 e9arevULeaoPiENfOvpjwVMTfDXBex38K7FnPvaVxt7x2J+OPx7jnxDNO4Cq 2/vohwroe47SL6l7qjH9lLpvPdDcU2Lpx8rTV5ygX7tG35Gs6X9uYJ83caPq 0RHysa6GV435Psq8ivPx7Ff96A5Nv5PKqPpH1ffsBe8Ezb1H3V8bYa96F1D9 ox59z3XNu4nqI39wn3Gmzzyq+nf60BL091fpUzdo7n/qPrOQPlf146fBX0HT V6q4UPl2XlPnFY+FUx/U9xPmVX6WZH9d5Kk+vBr6LqB/GXjUWAhe1YfHYI+y T1/dZ7D/PP7wwj9Gaf/5zqTuNcbcF5ty79nLfdKCe5EF982R3JuecB9V99RE xq/gOwW+OM7dX9Ovq75T8epbeGo7/D8X/u9OXQ3lewfz71n/if03kKfuhQHo 24P+0+ApAN8Z8J5jfIY96l6o7LXE/vP4wxL/mGne5dQ9exXvFy7cw1tq3scG 8P6xhHv8IsZH6FfvPZs4V3V/fKjJF3UPUu8zk+B3Vb8yqZv1qZuqH1Hfucyb sn4q+xciT/HcJPQ9Rr9671H4VDyo94lw7FnIOAR712N/d/zhgX9OaN4x1btP NO9plXkXMta8O3ZiVPKVfztybipu1buUKfnQGJ5R90stf1emLs6jLtal34ik 35hLH6feI+sxv4D16t1NySunuc+pd7su4FH4OoLXBvxbsccd+xyxtzdjF/Ue i3+SNO++6h3yOO+8IbxT+jM2Z38l9ltxLgM4l0TivTnxngiPKJ5V77jq/T2F updD3VPvuOoe9YU+LYM+zZP+N5vvr8yr9ZfZr+Spd+Jv6DuL/kHg0YGvDXjP gn8Q9lhq3hnbY38Y/ljImKl5J9e+j9/QzB/U+P2wJp7baniisoZ/L2vqmrZf OKfpw25q+tvVmnvDdc197KzmnjtB835wWfMuU0Pz3mWheUc8pXmfPaV5987/ L39XOLb/1NF042TTmLVnowJa1jP/nTX+sbGdk4VuVQd7hw4DOzwqfmhRfraF 5epP7gYbVudbbhu25cSY2out9tz+7lnryC+rtTNOxj+p4WTdqcetUTW2hFo3 /ScuafGZlf9+q3m1Xu1X8pR8pU/pV3i0+HL1D6xop0uzeXhgl6hZ/4PNpEm7 fbstLC16jpsfMzbJWCwZ65vz26itWK7vOHfPuk6ihfWZq3du2Qm/0CbNehj2 EednDn65vnl/4dOkhs8JY2dxnO8pzDdl/W72ByHPCfnj0fcU/Zng0frvkcLX 367Fg+gKolmnguZxfRsJk8md6nQ0tRJLE5PC7uX0FKMnx0RO1w0Qjx88f3Hr yTBh8iXgcf/CEWJPza4HqsaNFu4D+7S+ETFGLOD762c5n8P6KPYPQF5x5NdF 3yz0p4FHe77+2GPEesfpoT++HekkKu97/cgyrJ8IMx0flrLZXdTqdiurd8Zo 0clu5Ks98eNF2tQawSWPBoi7973G3nkTKF43ztn2tluQeMn3Zeb1Wd+P/WuQ Z4r8gehrjP554NHGX2f8r499duyvNXrep+exw8XDn+a+uSe9Ra9ibaaUbRYo MkYPOT2lQ7BoEHl24Ly7f/uGCnY/DwUHiq+rvhn4JwaIheXld9cIOX+Y9Q3Z fxZ5n0dJ+R3QVzhJ6u8EHm1+TCFe5nMeQ7F3F/ISGo/s+TU/UOz5nN42xyhY PHwSWNtxl5+wHTBpn/9Vd2H5aNGIps2ri7mj6m4eFGSru1xx8f98m7rJ+ceP 5foN7J+FvFPI34u+1eifDx5t/oYT3+uJH0vOpx32r0B+mxUtu7hEjBP1+8Vu q3DbVrd4UGeHTPcgXbmXCeuWDJ2p61/8QkapBaG6us/ld/Ehcn6Dg1y/Llzu t/ki5XVDvhv65qF/AXi0/NKAfLxFvH/tLuNpCec1Cv+5ukp9K1Ku959+YKqu QtsdOa0OLdC1yFydqG+/WFf2wLaYfhmLdUcz5PeednL+FOsnsv868rKQP5T4 zUZ/M/Bo+S8E/nAmf+8Q/4eJr3Uu8vwa4J9P4Ju9ddKK4l8X65bWujb81JIw 3dPsgtLdjs/TufF9gPl6rC81WO5v5irlBSJ/N/qM0b8YPFp+vgXfbYRPlpCv tckPz0wZfyc4X+9s6a86NSWepqnFvk2zmqhr3nGWecCY4bpKN+X3KfAWy5Lr XV/I/cN/S3nB5NsJ9K1D/z3waOvHSPh5IPx3AX4JJX/7jZH5cZr4K8r5GudI /8V1lvh0Tw8EjXnrJYaby2995k33y/U9i8n9T72kvGvI128i9U1EvxN4tPUt CfxLsEeHfd3wZ6iVzN9O5EcZ/BmOv3JvSP8V4s+F+LM5/o7Any74cwD8EIk/ I9GXjP5TGn+q8x9CPNQlPo4RLzXhx2XEU5ibjK9A8mNatIy/dHX+WdJ/u8B/ nPhMaSPXPyI+bZylPDPkK32m6PfUxKfKp5rk12fyrRb5V3KMzMf35GdBV5mv A8hflR+nyPc3++T5rsF/n8H3Klmud3ST+/2Rd5N8b4e+u+i31+S74qcI+Mob /moPnw2F34bAd/1XSv4ztZf62pD/r5/J87QifhP4/gi/1rCT67cuk/sDkKf4 2R994eg/quFPxfdT4X936sEU6sM96oU/9SMfvjd4Kv3hxPn1L5Tx1sdD5kfr l/I7mnoVyvoX7H+AvEglH32j0D9HU49U/VT9VSnqu6DeNqe+L0JeP+xX/JwK /yWRD49WyvwtR/4p/r3GenP2l/ol5dkh31D1E+gfq6nvqh9R/abqrwbRv6h+ ZgT2WnA+bYinzcR/EPm6Dz47wPdh5luwfgT7lyKvE/J7oM8c/Ys1/ZLq7+7R 702n/6vJ+mLYp/qTUOLnE/Heg/zcAp9MgP/W892U+XzWT2f/RuSVQH4b9O1B /wtN/6n65cv0zw+YH4c9g/H/NOJlI/FtRD4GwR/X4bve8PM5vqcyr+r1WvYv Rp4t8sPRV/Bf+vn/LfejUkUzSn1/PdVs+PeBHt/3J9p4Marfi22cefez/yOb HoutU+1u59qsHx1Y+aX7GfP5M5fY+Zv/snmTeOGux5YCmwHlTC+/mZllMfGg yYFJelXFykcrXl82LSvOWPQd7LEvpUPFOVdu3rvaWEwy1m0vvF9LLCnUzarc eINl4O2D410fm4sa/Z2yvBo2E/On2W41CLO1Gj5A2H790lXs23cv7XyoqXhZ US/qcI8rVn1cph2MXOsgRmy6lr9sqLVY9mN+8rkOza2b2Zev1KOkkzhpW+lu 3zFCLMqvbjgvytf6UPF3L2zy+oudF8oe6hjdRWy99XrNsZrh1gf5/Qbr1e9G yFHylZx+6N0PHqXXD5zVwK9wTsOumdir7PoYKv2wFP8oP0zAb6/wp/LbTPxs hf+Vn4tzLqM4L3UugzXnp0Y13xI56lxdrpc9/bWXnhjO+MTJ/1vLAiOx1WXA klZ/qotVW7Z0L3KrrTD2y4ur07yVaJbVMfReNVvhuNNsTP/4zqLM4udXhg91 EpY9TOxnbXYQn1v0tGvXd7AI7Vbp/INKLiL59pqe5ap4iXIJkeUTng4SPjO+ Tnwwf5Qwfuz+Wf+nu6hxefL21h5jRJOvYZVOBXmIMnwXYT6c9W+PyP0ZyAtA /h/02aO/HHh6g68WeIuDX9mzGfueY68r9o9g/L5B+sdKE/fK/9mc0yzOZx3y lP/6FG/a3EyvvbBjTPqWdvZ5ip3wLvZ55P3Q7qJD6IrIaodcRd/k0b0r+7uI a4U1jScVGSGSzh25+KjBcDG006jUyuO9heHQo1OmLx0tMgPeza4xaIK457P/ c/gIHxFY+XFWiYmBYvIOF+d2w/xEq6F/NjUzCxK1mm5u2GCQv2jN9xzm67L+ Fvs3Iq8s8l3Ql4n+q+AZAr6m4A0A/wXsccK+vowvsV/5dxX+ydfwhIrvyeSB H/FfhnNaxDkpf11C3+d4j/I2zweKQkbTPnolGu0aJdql5PWsenak8NnU3yfb 01/ku9W5/HPceNEmstOLLfOCxOjhEXunhQSK7BsBhca9gsW0BRdzD5YIFj2W +lpktw0SunaxC0zcgkX8BCP38Py/96/Jvu+K9gkWO/heznxf1oexPxl5jsg3 RN9P9NuAxxZ8FuD9oLHjIvYFYe8y7DfCH974Z7WGVxV/jIZn9OBZFf91iX8n ztGYc2wCnu7gefMgb2Mjtwli8EM5NtHf9bJRq2BhZF7dtW3RYOHv6e5TIypQ NO3oNrHx5iDhoJtbdU7gGJH7+5XRpK7+YqpvwuNac3sJm1Kzh3z2GyNOJHhl m5pb64KTjBaF1B4pSp6S39+Z17Hegv2uyGuB/FXoK4L+fuBpAz47xvbgb4s9 ttjnjr1NsF/5wwD/BGnqkOLnT06SxxV/W8ArFeGVRPIjmfz4zjl7cs6/zSRe b/B2rnSiW9bbAFGLsSB71Z3spIF/+WbUgHIPPUTCn4jgmp1G60reDa8z82J/ XXj8+40OSVN0T0YMCmr921fnWKSoySejUF3T6GI7n8wM1L3Tk995I+X87d1y /Yocub/FbynPIVnK331X6uuF/g8V5TgIfDXxbzD4aw2S9tzCvjvYWwX7zfHH HPxTRVO3Vf3bTJ30pj76wtff4Oti8I4jvONF/lQnf3oTB/2JgwHXpD0lsKff wEcey1746uxc5HgxsaZX8tM5um+7M0+Urhqqs9777k+a4SKd+6suzkWdF+hu OR4/uOnKYl3ci3NlPdLDdKX4bvVazq+Ll+sL98j99ZCX4yrlV0Rf9H2p3wX/ hoLPBrwNwa/sGY19FbG3Sktp/xT8MRb/nNb0Oaq/6Esf4kX/YUAdfUQdzILP r8PnTvDSWXjpIvmVmiTzq949GSf7iLsI7C2GvTZt77mkGi7WdWsnx2Ov+30Y lLxId9rs4VyfY3/9dfOH3qRF83VNE9L1zqYs0sXckN9u5nJ+1xu5PgE5hsiZ g/wD6Bv/S+p3zJV4osj/s+A9Av4R2JOGfRnYm4P95fGHJ/6ZoOkLVf+2gT6v A/1dafqLjfQXLamTHtRJd/i+PnwfC29ljIPnyM8He2T+fSPOmhJ3Y/DHdPwR 9yerYbmnobrjjBkVx8Tr3Rmj83ja8ueyUlN0ryrI75PMD9TL/p9xOfubI+8R cWqFvjHwxVTwVPCX+H6D1xb84dhji31TsDcU+2vjDxv8c1XTR6v+OIY+Wkf/ XIa+zZi+7WET2X+Y0n9cpI5uoI7a6WQ9cL8s68HLKMlrUfDcE/KzOfk5jjhL I87qPpH+amEg/dW+caD7/LbO4mkdOeY2kOMo/GvB+nD2JyCvH/JN0Hcf/Ubg +XVM4kumfm0C/3zsscG+GvRblbHfBn+cwD97NPcONcbiX3UPKYP/lZyenE89 9Kzm/PzBkcv5NqKuruD8R2BHILxWATtDLGT8mOOHM8TZdPxoSPwNM5b+s8N/ vpXkWJd4tGJ/ZeKxLfJ7EY/P0L/QS+JpmijxRYJ3O/jXYE9P7HNU9mK/Ef5I wD/7Nfc0FZcO5Hsd4vYb94Q5xHU6fNGVuB8Pn6wlLxzgGws/mTf7MyUfZZFX NeCrd+TdA3itFnkZw7gWf1rgHxPyegTfM5h3Z30VxizkdYA3QtB3B/03syWe xNES307wWoN/PvZ0x74c7J2L/bXgR8V7Ppp7reLJ1dQfN3h0MvUpDZ79PkTW r1vwsDf17Ts8bUH9qw2Pz02R9dGMOjNvgKyfztSBeYytqQ+J+PcbdeaJg4yr CPK1HXF2hrh7xvoy7DdD3odTcrSnbo9B/+orEs9C6mAJ8Ja5KfF3wp5U7CtK vU7F/mD8oerwMc07gKrb+vRDY6jrzeiXSlL3r9BPudMXvKV/7EPfUIx+bCd9 xXDVN9J33GZU9rWk3ytD3Kh6cJh8/E4+FoPnKhSV30OZN2e9F/vvUpf3cV5/ 6LfWMHYDz0bwmYLXDPyfsWcs9mVjbz3sV/3jePzTWvNuovrIYfTn0+kzbenf fy+Sfag9/X0GfWpL+v9I+lgD7gdD6XP9GO3Avwn8g+jjLhEXY+ijb3vLfIuB x5KoB/upDw8Oye9ezB/lPuPG/lrkwRz61uno80H/RPA4MjqBdyz41X1GvQsM xN5q9OHO+EP14cs070zqXjOX+2JR7j3luE/W5l7kw33TnHvTd+6jTdW9mrE+ +LqDrwLn7sq5lyGfSpNP9eApd3hqHvx/GP5fQF2dzPc45v1Z//WX3F8CeebI t0KfCfodwGMPPjPwqnvtW+xpiX2+2FsT+5vgD/U+uUPzLqfu2c94vwjmHr6T 940V3NP78/6Ryj1e3effo78B+s05V/W+Uoz7liv5Yg4PqfeezvB7L/g9hLpZ kboZTD+i3ntmMN+D9RPYH4+8fsgPRJ8B+tPB4wy+VuAtvlfiv4I91xnV+9ZC 7E/CH3PxT5HT//mOqd59mvCeNpl3ocG8t93n3eie5v1sPvIncm7qPaMH+VCC fLgGz5SGZz5Qr9Q9SUddXEhdVP1VOfqNn/StlfgOYX4+65PYr+TpUx8M0Xcd /TXAMwB87cEbAn71/qjs+469+Yzj8Ec0/nHRvPuqd8juvPP+5p3yF+MQ9gez fwfnMolzqUu8lybeneCRufBINw0/T6XuDaTulaCfaEU/UZU+TfW7beh/9/Jd jfnWrNdj/yDkqXvwCPSpd+Sp4FH4yoJX4Vf27Me+COwdi/01ed82YvTRvJNr 38dDNPOdNX7/rXmXj9DwxCQN/1bR1LV9mn5hoKYP267pbw9q7g2nNPcxD809 N0HzfmCseZeZq3nvita8I37RvM8O1Lx7+/6Xvyv8H9tDfM0= "], {Automatic, Automatic}], Editable->False, SelectWithContents->True, Selectable->False]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.929368900612358*^9, 3.9293689493638153`*^9}, 3.9293690906199017`*^9, 3.929369192050004*^9, 3.929369237286667*^9, 3.9293693240305843`*^9, 3.929369478536016*^9, 3.929369535522723*^9, 3.929369620877984*^9, 3.929370008910253*^9, 3.9293700809317427`*^9, 3.929370853228922*^9, 3.9293718152278214`*^9, 3.929371991173664*^9, 3.929418470021409*^9, 3.929429827069681*^9, 3.9294342831632843`*^9}, CellLabel->"Out[14]=",ExpressionUUID->"1ec32007-63ba-4b12-b3d2-ccb1bcd67fb3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"uu", "=", RowBox[{"u", "/.", RowBox[{"Sol", "[", RowBox[{"[", "1", "]"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.929369004335699*^9, 3.92936904541083*^9}, { 3.9293691033043833`*^9, 3.929369140356888*^9}, {3.929369197953278*^9, 3.929369199229582*^9}, {3.929369341290477*^9, 3.929369341435816*^9}, 3.929371994745001*^9}, CellLabel->"In[15]:=",ExpressionUUID->"d2491f31-2ca2-40e3-83db-0d0cd88a240f"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{ GrayLevel[0.6], AbsolutePointSize[5], PointBox[{1, 1}], PointBox[{2, 4}], PointBox[{3, 2}], PointBox[{4, 3}]}, {{}, {}, { AbsoluteThickness[1], Opacity[1.], LineBox[CompressedData[" 1:eJwBMQPO/CFib1JlAgAAADIAAAACAAAA4ScLwZmZ6T/ACPskWpOYv4AjHgZ5 3Os/cnpQh5xu1j/qWn1XCVDuP5K7ih5ptuc/r+pongFN8D/CUK87BHLxP46d cUQ/bPE/ujUa8/qu9j9TbqBw1aPyP/TWyyAhFfw/neDJZqDG8z+QAqdF9GsA QM1wGePDAfU/VsVD/9nXAkCidscSKDf2P6Bp73exDQVA/B1wDMFX9z+TpM3k wfUGQDzjPoyykPg/7M3Z+O7ZCEABSgjW2LT5P3pl9LwNcgpAbCYw0z/T+j86 ypori9cLQL0gflb/Cfw/lpOs9xIqDUCTvMaj8yv9Pw4alcoYNg5AT3Y1d0Bm /j+pB2LLtyIPQLClAv7Nmv8/NnA5bbjSD0BLO2UnSF0AQFrcILXmpw9AsTLc klX5AED+sDHBQukOQNp6UGP9igFAbZ+lR/sLDkD10dd20SgCQNHi3Mj38wxA 42MO5MXDAkAZdr6AZb8LQJRGQrZUVANArv7zEMKHCkA4OInLD/EDQLBlMO3M IglAnnrNRWWDBEA3d8OX6skHQNf3wBnbEgVAD3D3ndNyBkADhMcwfa4FQHOK 7Wak/wRA8WDLrLk/BkC/MhCgYawDQNJM4msi3QZAwss/TmVLAkCGc6iEq3cH QIsIg92+BgFA/OprAs8HCECrPCvgePD/P2VxQsMepAhAKXVLE0Xg/j+RSBbp CDYJQPRz0a7WJ/4/kFqZaBPFCUDN4sX5uLj9P4J7LytKYApAvh1MbRmT/T82 7cJSG/EKQHzT1YZwwv0/3W1pvRiOC0B2LZ/10lT+P0c/DY2wIAxAVrX8MJA7 /z+DS2C2aLAMQElWzbMzPQBAsmbGIk1MDUCi9bAadCABQKTSKfTL3Q1AYexd q+EpAkCJTaAId3sOQFyS/ndEhgNAQAPGdkIWD0BHWcLdahwFQLoJ6Umopg9A vd1CiejSBkCTjw8wnSEQQPiVkXD08QhAq0KpbbNqEEBsk2Azxi4LQCyTGthZ shBAYCBYjj+gDUAnaxVkFgARQMwfdA9ySBBAg+uOIqBIEUBj/5rHgMsRQNFn q5SZmRFAL++xNeOlE0Dwt3AR "]]}}}, AspectRatio -> 1, Axes -> False, Background -> GrayLevel[0.93], Frame -> True, FrameStyle -> Directive[ GrayLevel[0.7], Thickness[Tiny]], FrameTicks -> None, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], PlotRange -> {{0, 5}, {0, 5}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "10.`"}], "}"}]}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{ GrayLevel[0.6], AbsolutePointSize[5], PointBox[{1, 1}], PointBox[{2, 4}], PointBox[{3, 2}], PointBox[{4, 3}]}, {{}, {}, { AbsoluteThickness[1], Opacity[1.], LineBox[CompressedData[" 1:eJwBMQPO/CFib1JlAgAAADIAAAACAAAA4ScLwZmZ6T/ACPskWpOYv4AjHgZ5 3Os/cnpQh5xu1j/qWn1XCVDuP5K7ih5ptuc/r+pongFN8D/CUK87BHLxP46d cUQ/bPE/ujUa8/qu9j9TbqBw1aPyP/TWyyAhFfw/neDJZqDG8z+QAqdF9GsA QM1wGePDAfU/VsVD/9nXAkCidscSKDf2P6Bp73exDQVA/B1wDMFX9z+TpM3k wfUGQDzjPoyykPg/7M3Z+O7ZCEABSgjW2LT5P3pl9LwNcgpAbCYw0z/T+j86 ypori9cLQL0gflb/Cfw/lpOs9xIqDUCTvMaj8yv9Pw4alcoYNg5AT3Y1d0Bm /j+pB2LLtyIPQLClAv7Nmv8/NnA5bbjSD0BLO2UnSF0AQFrcILXmpw9AsTLc klX5AED+sDHBQukOQNp6UGP9igFAbZ+lR/sLDkD10dd20SgCQNHi3Mj38wxA 42MO5MXDAkAZdr6AZb8LQJRGQrZUVANArv7zEMKHCkA4OInLD/EDQLBlMO3M IglAnnrNRWWDBEA3d8OX6skHQNf3wBnbEgVAD3D3ndNyBkADhMcwfa4FQHOK 7Wak/wRA8WDLrLk/BkC/MhCgYawDQNJM4msi3QZAwss/TmVLAkCGc6iEq3cH QIsIg92+BgFA/OprAs8HCECrPCvgePD/P2VxQsMepAhAKXVLE0Xg/j+RSBbp CDYJQPRz0a7WJ/4/kFqZaBPFCUDN4sX5uLj9P4J7LytKYApAvh1MbRmT/T82 7cJSG/EKQHzT1YZwwv0/3W1pvRiOC0B2LZ/10lT+P0c/DY2wIAxAVrX8MJA7 /z+DS2C2aLAMQElWzbMzPQBAsmbGIk1MDUCi9bAadCABQKTSKfTL3Q1AYexd q+EpAkCJTaAId3sOQFyS/ndEhgNAQAPGdkIWD0BHWcLdahwFQLoJ6Umopg9A vd1CiejSBkCTjw8wnSEQQPiVkXD08QhAq0KpbbNqEEBsk2Azxi4LQCyTGthZ shBAYCBYjj+gDUAnaxVkFgARQMwfdA9ySBBAg+uOIqBIEUBj/5rHgMsRQNFn q5SZmRFAL++xNeOlE0Dwt3AR "]]}}}, AspectRatio -> 1, Axes -> False, Background -> GrayLevel[0.93], Frame -> True, FrameStyle -> Directive[ GrayLevel[0.7], Thickness[Tiny]], FrameTicks -> None, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], PlotRange -> {{0, 5}, {0, 5}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10.`"}], ",", "10.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "10.`"}], "}"}]}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["3", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Unstructured\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{-10., 10.}, {-10., 10.}, {0., 10.}}, { 5, 12417, 1, {41, 1281, 0}, {4, 3, 3}, 0, 0, 0, 0, Indeterminate& , {}, {}, False}, { NDSolve`FEM`ElementMesh[CompressedData[" 1:eJx120GurDgShWGqRUk5YIAQQgghZMPdR7KGXkJJNe4lVi4ll/CGDEutyggp v248sU7+hsf1C7AdPq5//Offf/6raZrffm+a/9b/lJ/X/693dEGv6Bk9onv0 A92gf/0F53l/PeEn90f36BE9o1d0Qe/on4+23/abuqBX9Iwe0T36gW7Q0Z/J G/gTfnJ/dI8e0TN6RRf0jo7+NO7st3JTr+gZPaJ79APdoKM/kzfwJ/zk/uge PaJn9Iou6B0d/el7a9zZb+tNPaNHdI9+oBt09GfyBv6En9wf3aNH9Ixe0QW9 o6M//e753hp39tt8U4/oHv1AN+joz+QN/Ak/uT+6R4/oGb2iC3pHR386bvjd 87017uy38abu0Q90g47+TN7An/CT+6N79Iie0Su6oHd09KfjruOG3z3fW+PO futv6ge6QUd/Jm/gT/jJ/dE9ekTP6BVd0Ds6+tN5i+Ou44bfPd9b485+e9zU DTr6M3kDf8JP7ovu0SN6Rq/ogt7R0Z/O+5y3OO46bvjd87017uy35qaO/szf G/gTfnJ/dI8e0TN6RRf0jo7+dN7svM95i+Ou44bfPd9b485+C20dJX9/wvl7 HugePaJn9Iou6B2d8fkprkOcRzsPdB7jOOw44nfQ99g4tB8tGZ9RTu6P7tEj ekav6ILe0RmfrNtcdzhvdt7nvMVx13HD757vrXFnvyWnzviM+6N79Iie0Su6 oHd0xuendh3sOs51iPNo54HOYxyHHUf8DvoeZwlOP1o/0D16RM/oFV3QOzrH 99Cvb+062HWc6xDn0c4Dncc4DjuO+B2MYtzZb4+bukeP6Bm9ogt6R+f8M/Tr W5tHcB3sOs51iPNo54HOYxyHHUei+N4ad/Zbf1OP6Bm9ogt6R+f6KPTrW5uH MY/gOth1nOsQ59HOA53HOA5H8bvne2vc2W/jTT2jV3RB7+hcv4d+fWvzWOZh zCO4DnYd5zrEebTzQOcxURw3/O753hp39tt8U6/ogt7RmV8K/frW5gHNY5mH MY/gOth1nOsQ59HOA6M47jpu+N3zvTXu7Lf1pi7oHf1DO/PQ5lHNA5rHMg9j HsF1sOs41yHOo6M4b3Hcddzwu+d7a9zZb+Wm3tE//G4e3zy0eVTzgOaxzMOY R3Ad7DrOdUiU5MwDncc4DjuO+B30PTYO7UfrH+vXt77N48e/h77NA370bR7m o2/XwcEb+N08Ou6Pvh2H4/nRt+/xp97RUR/xd3zq6MeD2n0mf6/87j5Kpf1G e/cJNtovtDcPvtB+or153on2A+3NYw6072hvnq6jfUt781At7a+/vtubZwke 7d+0j/IDz/ZP7s86OXg+D+1dB160b8/v9q5zgmd/0t55fEf7gfbOUwfaT7R3 HjbRfqG984yF9hvtHUc32lfa77SvtD9o73cweLxn7l/Gdb6Hhd8rv0e9wd23 W+DuQ01w91UGuPsEHdy8dws3jxvvS3Dzkm94lORPridvdMHNg0S85/PDO7jr 1AHuumuCu45Y4M6LN7jzvArf4f8Tfx8dceP+b8Sj3/ngFe7+8EbtfvECdx90 gruvN8Ddp+rg7ru0cPcRIh6Dmxd/w6Mkf3I9ecsLbh4u4jGfH97BzZMMcNf9 E9x17AJ3XbbBXWdU+A4/4BGPERfun0c8Oo8IXuHur29w99sXavffJ7j7ygPc fdIO7r5fC3cfK+IxuPsyb3iU5E+uJ29+wc0DRzzm88M7uHm6AW7eaYKbR1ng 5gU2uOvcCt/hBzziMf7f9R9EPDpPDV7h+hM2uH6FBa5/YaLWzzDA3afv4O47 t3D3USMeg7sv+IZHSf7kevZtLrj7EBGP+fzwDm6eeICb95zg5vEWuHmpDW6e pcJ3+AGPeIz/V/0bEY+ug4JXuP6ODa7fY4Hr/5jg+kEGav0hHVzfQwt3Hz/i Mbj70m94lORPrmff8IK7DxbxmM8P7+DuUwxw8+4T3DzyAjcvusHN81X4Dj/g EY/x/5b7Y9H+9c31w1R4gW9w/TILXP/MBNdPM8D113TU+m1auD6SiMfg+iLe 8CjJn1zPvvUFdx824jGfH97B3Scb4O77THD3MRa4efkNbp65wnf4AY94jP+X 3P+O9q9vrp+owgt8g+s3WuD6jya4fqQBrj+pg+tXaqkb6ojH4Ppy3vAswZ9c j2/igusDiHjM54d3cPdpB7j7jhPcfbQF7r7QBnefo8J3+AGPeIx+j3iMfo94 NE8YvMILfIPr11rg+rcmuH6uAa6/q4Pr92rhDfyi1g/2hkdJ/uR6fDsXPOIx n+/k+eEdXJ/AAHffe4K7j7vA3Zfc4O6zVfgOP+ARj9Gv+X38lIhH89BRKrzA N7h+twWu/22C64cb4PrjOrh+uRbewKOfguune8MtEY95/fObX/D8Psbznd9c X08H16cywPVdTHB9BAvcffEN7j5vhe/wA57xyL5G9FvGI/sWwSu8wDe4fsEF rn9wgusnHOD6Czu4fsMW3sAzHvmu/SKO8voGTq1f8YLn9zGe7+T54R1cn9QA 1/czwfWxLHB9GRtcn0GF7/ADnuM18Rj9kuM18Ri8wgt8g+u3XOD6Lye4fswB rj+zg+vXbOENPMdr4jH4G54lOHGn3/OC5/cxno92+ho7uD69Aa7vbILro1rg +oI2uD6XCt/hBzzXM58619fR/vXN9aNWeIFvcP2qC1z/6gTXzzrA9bd2cP2u LbyB53rmo/XDvuFRkvOd0y97wXN9fX7/3vJ7/n1wfaIDXN/jBNfHt8D1pW1w fVYVvsMPeOZ7Qr/+qePvynxP3A9e4QW+wfX7LnD9vxNcP/AA1x/cwfULt/AG nvmej9ZP/IZHSc64qt/4gmf+MZ7v/Ob6kTtq/ckDXN/tBNdHusD1RW7wAq/w HX7AMx8e+vX93JkPj/vBK7zAN7h+6QWuf3qC66ce4PqrO7h+6xbewDMf/tH6 sd/wKMmZx+nXvuC5PxPPd/L88A6uv3ug1u89wfUxL3B9uRu8wCt8hx/w3C8M /fp+rtwvjPvBK7zAN7h+8wWu/3yC60cf4PrTO7h+9RbewHO/8KP1s7/hUZKz btDvfsFz/zqe7+T54R1cf/wA1y8/UeufX+D6wjd4gVf4Dj/g6acI/fr+d9NP EfeDV3iBb3D9+gtc//4E188/wPX3d3D9/i28gaef4qM9D/CGR0nOOtXzAhc8 /T3xfCfPD+/gni8Y4J43mOCeP1ioPY+wwQu8wnf4AU+/WejX933Tbxb3g1d4 gW9wzzsscM8/THDPQwxwz0d0cM9LtPAGnn6zj/Y8xRseJTl5Ec9bXPD0P8bz nTw/vIN7PmOAe15jgnt+Y4F7nmOjLtQVvsMPeMRjXBfxGNelHzfuB6/wAt/g nhdZ4J4fmeCeJxngni/p4J43aeENPP24H+15lDc8SnLycJ5XueARj/l8J88P 7+CebxngnneZ4J5/WeCeh9ngBV6pd+oD/sPvEY/5++ube56mwgt8g3veZoF7 /maCex5ngHs+p4N7XqeFN/A8b/HRnud5w6O4z5DX3+R98/qT5zt5fngH93zQ APe80AT3/NAC9zzRBi/wCt/hB/XP+Tf9VMdK "], { NDSolve`FEM`QuadElement[CompressedData[" 1:eJw1m3UQVHUDRbdAlDLo7pAuRUqkGwSkG6SR7pLuVLpBQFGQUlIFpREw6AYT sLu/7975Hf44szPnzr59O3t2Zmf3bc5OfRu/EItEInOjkUgy3eomkk6kF/Z7 JfaJ/eKdaHDeMoh4JPh3xXviQDQ4bxlFIhL8QfG++CAanLdMIkkk+EPisDgS Dc5bZpE0EvxRcUwcjwbnLYt4IBL8CXFSfBgNzlvWSHg+9qfEaXGG5+gtm3gw EvxH4mPxSTQ4b9nFQ5HgPxVnxblocN5yiOSR4M+LC+JiNDhvOUWKSPCXxGVx JRqct1wiZST4q+KauB4NzltukSoS/A1xU9yKBuctj0gdCf62+Ex8Hg3OW17x cCT4L8SX4qtocN7yiUciwX8t7oi70eC85RePRoK/J74R30aD81ZAPBYJ/jvx vfghGpy3giJNJPgfxU/i52hw3h4XaSPB/yJ+Fb9FQ3uFRGE6+13uD/EnHaZn K0Jn9n+Jv+kwA1tROrP/R/xLhxnZitGZ/X/if3SYia04ndk7+mgsdJiZrQSd 2cdEPBY6zMJWks7sEyJJLHSYla0UndknFQ/EQofZ2ErTmX0y8WAsdJidrQyd 2T8kksdChznYnqAz+xQiZSx0mJPtyfsNyqcSqWOhw1xsZenM/mHxSCx0mJvt KTqzf1Q8Fgsd5mErR2f2aUTaWOgwL1t5OrNPJ9LHQof52CrQmX0GkTEWOszP VpHO7DOJzLHQYQG2SnRmn0VkjYUOC7I9TYP22UT2WOjQ7VUWz9BZDvmcIlcs dFiYrQqd2ecWeWKhwyJsVenMPq/IFwsdFmWrRmf2+UWBWOiwGFt1OrMvKB6P hQ6Ls9WgM/tCojAdlmCrSWf2RURROizJVovO7Iv5uHRYiq02ndmX8P3osDRb HTqzL2VPh2XY6tKZfRnxBB0+wVaPzuyfFGXp8Em2+nRm/5QoR4dl2Rrc70yu vKhAh0+xNaQz+4qiEh2WY2tEZ/ZPi8p0WJ7tWTqzf0ZUocMKbI3pzL6qqEaH Fdma0Jl9dVGDDiuxNaVB+5qiFh26vedEMzqrLVdH1KXDZ9ia05l9PVGfDquw taAz+waiIR1WZWtJZ/aNxLN0WI2tFZ3ZNxZN6LA6W2s6s28qnqPDGmxt6My+ mWhOhzXZ2tKZfQvRkg5rsbWjM/tWojUd1mZrT2f2bURbOqzD1oHO7NuJ9nRY l60jndl3EB3psB5bJzqz7yQ602F9ts50Zt9FPE+HDdi60Jl9V9GNDhuyPU9n 9t1FDzpsxNaVzux7il50+CxbNzqz7y360GFjtu50Zu8PeH3psAlbDxq07yf6 06Hb6+nj0tkAuYFiEB02Y+tNZ/aDxRA6bM7Wh87sh4phdNiC7QU6sx8uRtBh S7a+dGY/Uoyiw1Zs/ejMfrQYQ4et2frTmf1Y8SIdtmEbQGf248R4OmzLNpDO 7CeIiXTYjm0QndlPEpPpsD3bYDqznyKm0mEHtiF0Zj9NTL/fIdtQOrOfIWbS YSe2YXRmP0vMpsPObMPpzH6OmEuHXdhG0Jn9PDGfDp9nG0ln9i+Jl+mwK9so OrNfIBbSYTe20XRmv0gspsPubGNo0H6JWEqHbm+sXxc6Wya3XKygw15s4+jM fqVYRYe92cbTmf1qsYYO+7BNoDP7tWIdHb7ANpHO7F8R6+mwL9skOrPfIDbS YT+2yXRm/6p4jQ77s02hM/tN4nU6HMA2lc7s3xCb6XAg2zQ6s98i3qTDQWzT 6cx+q9hGh4PZZtCZ/Xaxgw6HsM2kM/ud4i06HMo2i87s3xa76HAY22w6s98t 9tDhcLY5dGa/V+yjwxFsc+nMfr94hw5Hss2jM/t3xXt0OIptPp3ZHxAH6XA0 20s0aP+++IAO3d7LYgGdHZI7LI7Q4YtsC+nM/qg4Rofj2BbRmf1xcYIOx7Mt pjP7k+JDOpzAtoTO7E+J03Q4kW0pndmfER/R4SS2ZXRm/7H4hA4nsy2nM/tP xVk6nMK2gs7sz4nzdDiVbSWd2V8QF+lwGtsqOrO/JC7T4XS21XRmf0VcpcMZ bGvozP6auE6HM9nW0pn9DXGTDmexraMz+1viNh3OZnuFzuw/E5/T4Ry29XRm /4X4kg7nsm2gM/uvxNd0OI9tI53Z3xF36XA+26s0aH9PfEOHbu81sYnOvpX7 TnxPhwvYXqcz+x/Ej3S4kO0NOrP/SfxMh4vYNtOZ/S/iVzpczLaFzux/E7/T 4RK2N+nM/g/xJx0uZdtKZ/Z/ib/pcBnbNjqz/0f8S4fL2bbTmf1/4n90uIJt B53Z+0unaDx0uJJtJ53Zx0Q8HjpcxfYWndknRJJ46HA129t0Zp9UPBAPHa5h 20Vn9snEg/HQ4Vq23XRm/5BIHg8drmPbQ2f2KUTKeOjwFba9dGafSqSOhw7X s+2jM/uHxSPx0OEGtv10Zv+oeCweOtzI9g4N2qcRaeOhQ7f3rniPztLJpxcZ 4qHDTWwH6Mw+o8gUDx2+znaQzuwziyzx0OEbbO/TmX1WkS0eOtzM9gGd2WcX OeKhwy1sh+jMPqfIFQ8dvsl2mM7sc4s88dDhVrYjdGafV+SLhw63sR2lM/v8 okA8dLid7Rid2RcUj8dDhzvYjtOZfSFRmA53sp2gM/sioigdvsV2ks7si4ni dPg224d0Zl9ClKTDXWyn6My+lChNh7vZTtOZfRnxBB3uYTtDZ/ZPirJ0uJft Izqzf0qUo8N9bB/TmX15UYEO97N9QoP2FUUlOnR7n4qzdPa0XGXxDB2+x3aO zuyriKp0eIDtPJ3ZVxPV6fAg2wU6s68hatLh+2wX6cy+lqhNhx+wXaIz+zqi Lh0eYrtMZ/b1RH06PMx2hc7sG4iGdHiE7Sqd2TcSz9LhUbZrdGbfWDShw2Ns 1+nMvql4jg6Ps92gM/tmojkdnmC7SWf2LURLOjzJdovO7FuJ1nT4IdttOrNv I9rS4Sm2z+jMvp1oT4en2T6nM/sOoiMdnmH7gs7sO4nOdPgR25d0Zt9FPE+H H7N9RYP2XUU3OnR7X4s7dNZdrofoSYdn2e7SmX0v0ZsOz7HdozP7PuIFOjzP 9g2d2fcV/ejwAtu3dGbfXwygw4ts39GZ/UAxiA4vsX1PZ/aDxRA6vMz2A53Z DxXD6PAK2490Zj9cjKDDq2w/0Zn9SDGKDq+x/Uxn9qPFGDq8zvYLndmPFS/S 4Q22X+nMfpwYT4c32X6jM/sJYiId3mL7nc7sJ4nJdHib7Q86s58iptLhZ2x/ 0pn9NDGdDj9n+4vO7GeImXT4BdvfdGY/S8ymwy/Z/qFB+zliLh26vX/Ff3Q2 T26+eIkO77D9j87sXxYL6PAum3/Ic2f2C8UiOrzHFo2GzuwXiyV0aOctFg2d 2S8Vy+jQzls8GjqzXy5W0KGdt0Q0dGa/UqyiQztvSaKhM/vVYg0d2nlLGg2d 2a8V6+jQztsD0dCZ/StiPR3aeUsWDZ3ZbxAb6dDO24PR0Jn9q+I1OrTz9lA0 dGa/SbxOh3bekkdDZ/ZviM10aOctRTR0Zr9FvEmHdt5SRkNn9lvFNjq085Yq Gjqz3y520KGdt9TR0Jn9TvEWHdp5ezgaOrN/W+yiQztvj0RDg/a7xR46dHuP +ne8aOhsr9w+sZ8O7byliYbO7N8R79Khnbe00dCZ/XviAB1G2NLRoP1B8T4d RtnS06D9B+IQHcbYMtCg/WFxhA7jbBlp0P6oOEaHCbZMNGh/XJygwyRsmWnQ /qT4kA6TsmWhQftT4jQdPsCWlQbtz4iP6DAZWzYatP9YfEKHD7Jlp0H7T8VZ OnyILQcN2p8T5+kwOVtOGrS/IC7SYQq2XDRof0lcpsOUbLlp0P6KuEqHqdjy 0KD9NXGdDlOz5aVB+xviJh0+zJaPBu1vidt06PbyiwI0+Jnc5+ILOnyMrSAN 2n8pvqLDNGyP05n91+IOHaZlK0Rn9nfFPTpMx1aYzuy/Ed/SYXq2InRm/534 ng4zsBWlM/sfxI90mJGtGJ3Z/yR+psNMbMXpzP4X8SsdZmYrQWf2v4nf6TAL W0k6s/9D/EmHWdlK0Zn9X+JvOszGVprO7P8R/9JhdrYydGb/n9/3dJiD7Qk6 s/dFH9FE6DAn25N0Zh8T8UToMBdbWTqzT4gkidBhbran6Mw+qXggETrMw1aO zuyTiQcTocO8bOVp0P4hkTwROnR7FURFOkshn1KkSoQOC7BVojP71OLhROiw INvTdGb/iHg0ETp8nK0yndk/JtIkQoeF2J6hM/u0Il0idFiYrQqd2acXGRKh wyJsVenMPqPIlAgdFmWrdr9B+cwiSyJ0WIytOp3ZZxXZEqHD4mw16Mw+u8iR CB2WYKtJZ/Y5Ra5E6LAkWy06s88t8iRCh6XYatOZfV6RLxE6LM1Wh87s84sC idBhGba6dGZfUDyeCB0+wVaPzuwLicJ0+CRbfTqzLyKK0mFZtgZ0Zl9MFKfD p9ga0pl9CVGSDsuxNaJB+1KiNB26vWdFYzor43P2edFhRbYmdGZf1o9Lh5XY mtKZfTlRng6fZnuOzuwr+Lh0WJmtGZ3ZV/L96PAZtuZ0Zl/Zng6rsLWgM/sq oiodVmVrSWf21UR1OqzG1orO7GuImnRYna31/c7kaonadFiDrQ2d2dcRdemw JltbOrOvJ+rTYS22dnRm30A0pMPabO3pzL6ReJYO67B1oDP7xqIJHdZl60hn 9k3Fc3RYj60Tndk3E83psD5bZzqzbyFa0mEDti50Zt9KtKbDhmzP06B9G9GW Dt1eV9GNztrJtRcd6LAxW3c6s+8oOtFhE7YedGbfWXShw6ZsPenM/nnRlQ6f Y+tFZ/bdRHc6bMbWm87se4iedNicrQ+d2fcSvemwBdsLdGbfR7xAhy3Z+tKZ fV/Rjw5bsfWjM/v+YgAdtmbrT2f2A8UgOmzDNoDO7AeLIXTYlm0gndkPFcPo sB3bIDqzHy5G0GF7tsF0Zj9SjKLDDmxD6Mx+tBhDhx3ZhtKZ/VjxIh12YhtG Z/bjxHg67Mw2nM7sJ4iJdNiFbQQN2k8Sk+nQ7Y30edHZFLmpYhoddmMbTWf2 08UMOuzONobO7GeKWXTYg20sndnPFnPosCfbi3RmP1fMo8NebOPozH6+eIkO e7ONpzP7l8UCOuzDNoHO7BeKRfc7ZJtIZ/aLxRI67Ms2ic7sl4pldNiPbTKd 2S8XK+iwP9sUOrNfKVbR4QC2qXRmv1qsocOBbNPozH6tWEeHg9im05n9K2I9 HQ5mm0Fn9hvERjocwjaTzuxfFa/R4VC2WXRmv0m8TofD2GbTmf0bYjMdDmeb Q4P2W8SbdOj2fC30PDrbKrdNbKfDUWzz6cx+h9hJh6PZXqIz+7fE23Q4hu1l OrPfJXbT4Vi2BXRmv0fspcMX2RbSmf0+sZ8Ox7EtojP7d8S7dDiebTGd2b8n DtDhBLYldGZ/ULxPhxPZltKZ/QfiEB1OYltGZ/aHxRE6nMy2nM7sj4pjdDiF bQWd2R8XJ+hwKttKOrM/KT6kw2lsq+jM/pQ4TYfT2VbTmf0Z8REdzmBbQ2f2 H4tP6HAm21o6s/9UnKXDWWzr6Mz+nDhPh7PZXqFB+wviIh26vfViA51dkrss rtDhPLaNdGZ/VVyjw/lsr9KZ/XVxgw5fYnuNzuxvilt0+DLbJjqzvy0+o8MF bK/Tmf3n4gs6XMj2Bp3Zfym+osNFbJvpzP5rcYcOF7NtoTP7u+IeHS5he5PO 7L8R39LhUratdGb/nfieDpexbaMz+x/Ej3S4nG07ndn/JH6mwxVsO+jM/hfx Kx2uZNtJZ/a/id/pcBXbW3Rm/4f4kw5Xs71NZ/Z/ib/pcA3bLjqz/0f8S4dr 2XbTmf1/4n90uI5tDw3a+08X0SShw/8DeMAdTA== "]]}, { NDSolve`FEM`LineElement[CompressedData[" 1:eJwtk0lsjWEYRt/vv6+xppbaYkPClhXBkl0JSxYS44KwJGHHUoUVW0Nras3a pCKpSCQSSUVSQxpDo01T0hhKBHH+HIuT5zzvcxf3v3/ukh0HNu+vIqINGlBg IfQi1f/eV9zq/hDP/5/tx6eE/TE+NexP8Glhf4pPD/szfEbYB/CZYX+BN4V9 EJ8V9tf47LAP4XPC/g6fG/ZhfF7YR/DmsI/hLWH/hM8P+wS+IOxf8eVkK3wv Zr1NFn+DFfADXxd+blHlbT0sxreE24bK21bYiO8Nt4OVt31wCD8abmcrb8fg HH463Porb2fgEd4RbuOVt876WfC+cGtteHtQvzN8INzWNrw9r78fPhJuuxve RmEP/jvc2hve/sApvLm49TS8tdB78aXF7X3D2zL4gK8ubk3pbU39DvG24rYy vW2CVfjO4rYtve2C7fjh4nY8vR2BE/jJ4taV3tqhGz9f3AbT2wV4meZFeJXm JXiTZgcMpdkJb9O8XD9XmldgOM2r8DHNazCa5nUYS7MLxtPshs9p3oCJNG/C lzRvwbc0b8NkmnfgZ5p34Vea9+r3keZ9+JtmT/EPV2f9WxT8H0KHe+I= "], {1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3}]}, { NDSolve`FEM`PointElement[CompressedData[" 1:eJwt0jtIFAAYwPG71Hyd+Shdq8Wg1poUz7E2ixxtCEptSHQssM1GL2rKxaHH XQ+18nUHRnARBIJgCKfJoZfkcdyJWJmIij/B4Td80/fB/zt/u+fG/ROBQGCY 4LGjuYhiSjhJKWWUU0ElIao4RTU11FLHac5QTwMXuUSYVm7STjf36OcRT3lG lBgzfGaeH6yTZY/9o30OrqORCzTRTBvXucNdHvCQQSK84CWveE2UGG94yzve M8IoY3zgI58YZ4JJppgmToIZvpDkG9+ZZY55FkjxkzSrrLFOjgKb/OEf2/zn rDDnuMo1eunjOUMk+UqeAvUiNtBCmE66iPCEOAky/KJS8BCXuUIHtxjgMaOM kWKRJZZJs0KGNX6TJUeeDTbZ4i/b7LDLHgfHjxbkEO1MWvw= "], {5, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 7, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 6, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 8, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 2, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3}]}], CompressedData[" 1:eJxTTMoPSmVkYGDQZEAAXWeZ14/MpOwhtBaUtoLSXlA6CkpnQekqKN0FpWdB 6VVQepd9klGogdbKw1D+Kfs/Kz9e8k26YH98145etg/X7CedrvfYX3vXXj9v MeMe1kf2U7+xxc/weWr/uy5rT8nkF/aJ7OckA2+9thfr8XrFYvLRvkZknfvD qi/2j+YILt178Lu9h2op0yyO3/br1t6IL/P/Z88lPS9O8zSDg+19/97peUwO i9M3vyreyurA+UHMI+APh0N+RdVSHWceh6sM95g4u/gd5h5R2FCUIehwoePS vQfcwg7Mvi28/utFHDKvPs/S/ibucD7W+wS7rbSD6bN1qk+a5Rx8zTsdE54q ODT8tio416HkAAk9FQcAP9yK2g== "]}, CompressedData[" 1:eJzUvAlUj9/3PxoqlCiJilQoSiVDpeH9PEShECJjZCZzyZioKGQoYyEzGUqD SuPzToaQmRRCZCgZMpeh/p/7Pa/dXZ3fte669/f/3XU/1mqddd7nnD2dvV97 7/OsxXDKghHTGykoKJj889fwn78GSgoKXWyXBJWmZfdacd1q/r3hraxbZB6N MOzTz6ZQ9WJUp0EuvTPkKuKcJl1tFfd7j4ysfmVrdfr5J6XUVXbxpZXi94hP dh63Hza7rtrP/o9N1Y3eJ3zt1219E733ZnDdnNZpP50nekSf+BF/koeXb2xR Q8dftjNs1DvYPjE6Hd77cZv3FW6lEbYBs50ODn4y125y6nYL77Ud7A9EtQvf 0SrZXr5lycHLUR0dJr2xC286yMdhWZvji9sYHXKYVvIk/kJqQt2c1mk/nSd6 RJ/4EX+Sh7cfrdtpPItJX3nWdqFT+KsgrQQ7sk/RHLNz4TN6OrTNvVB02DHH ITf01HszBxPZ07j3nrF7fGWRm3L7pY44KLO4MOmozcYzdXNap/10nugRfeJH /Eke/n5JH9pffGpVx8ZKR+3JHvHnwqduGKNbx39TmNfNvT0aCZ0a6mwovTBA GNHNbku60iIhf92HjPFWAXVzWqf9dJ7oEX3iR/xJHt7/yP6kH513NXk0q7Jd b1l8/1fXLLYWyY4aeHf3HztKiMie/qT760ThW/7+bW7RlcLw7yPVmm3RFMeN NDb6bGYg0pzWaT+dJ3pEn/gRf5KHjw/yF7oP0pfokX3adlIYrL+rVIjTb+4+ MNZKDOk02Wp96hxxwqGkpm1r14tfHQzTRp3fVjenddpP54ke0Sd+xJ/k4eOX /Jv8h+6H9Cf6yxXzs9TNBtfJs3fahTeFbtliTaPTxSqGd8XeH82sPcIK6+a0 TvvpPNEj+sSP+JM8PL5QPJK/kz/RfZE9iJ/bz5BLye75YpBXQQ/B/LU4s1vn Ma27fhQV/vOvsm5O67SfzhM9ok/8iD/Jw+Mf+QfFJ/k/+RfdH9mH+LvfGTvT s+VHcbRVWILs0fM6e9Kc1mk/nSd6RJ/4EX+Sh8dnwjuyP/kPxQP5G90n2Yvk KQuf7f4uObnOXjSnddpP54ke0Sd+xJ/k4fMH4TPhH+ELxS/xJ3vR/dKc1v/f 7id+xJ/k4fPb/9/t+W/xz39LvP9b8PPfko/+Lfn931Iv/Vvqz39LPf+v6Y/W yqoXnppv5TxwhvucvFxrGun3Pm7Xq/LfKfReXKt15VfaRxvlaUoePyYmWjuc j2nvN1bLdoB9kxXBfb70VlN/bR2dn2+zTi/CWTurkV3NhLQEr8g7tgXNR+49 PSmn99zzUzf+6HbdLnVV+Pa3QRvsIsJu9l16frPtperqHhEBC+0NXruvGKSk b79F09/t0lsru05bPIateVBp77buu2WjrHD7CZKHiV9Ypt24xup5eWVuDhZp wtDppSV15w4qtgk4fGazQ8qjSoVxMeoO6xQmRj/38LIf/WzGYXfXWIffEdlO OusMHK5EGsSNP7im7nfaT78THaJPdIgvyUN8SU6ak5ykF+lLepEdyD5kB7Ib 2ZPsRnYm+5Od6V7ovuhe+PujkdaJDp03zjlQsMTX2JZGkjM3aIqHuqWRHel1 Yfu2aY7Vf+zILivP+xarlSTYF31YELTPLcBhX88NY4O69nEInbCgZHXPKgey b9SLEWcHRI+Q0e/tPH920E7bLLM+HGsxZbGRrPjakM6n2p+StT2qfnt8cK+6 Oa3TfjpP9Ig+/U78SR6Sj+Ql+Ukf0o/05e3wN78n+9M90f3w9JQbvE8eFNDN nkbysxStmZWrchUcpJ1r/AblXKuzU2hyWx/LU5Pr7HC2v0Z7H7UC2RUFd7PY 13tlfl9UQ+e3MhGWpcW2yl9WKvM0jdyVv85LmBIRFDXfprmQdS8y8bvFCsH+ Wuf2T7e3rZvTOu2n80SP6BM/4k/ykHwkL8lP+vB68v7zN5wg/6Y4IP/n74nn V/JtofvD9w/rRvIP43FmO0ZGrJbV6b+sbVjX1QpClHHaTKFLaJ3+mksPqv3S uC80/rolcNvTQ8KVA2vGRxxXFL+W39Ib55knLG8/4J5JWDuR9tGc1mk/nad9 RJ/4EX+Sh+QjeXk9eP/g4+5vuEr4QThD+ML7P3+PvDzkDzRe8wr3GGgWX2cn 03Fr/ky31RDz/KbmmeypEo48WbPj5G93cfiYzz+/WfYUOy0L7h90cJVIv48N NQy8+T1czKvwHlN+cFLdnNZpP52n34k+8SP+JA8vJ3//fFzxePW3PER+S3Yn /OZxhY8P/p55ecl/aFw4L7hmdj9f0eLO3KW112eJJyulZdEPT4kN3520+moX Jc4cXXbr+uSrYouHumuvm58V900y26+q+0D8MXrtlkW/MurmtE776TzRI/rE j5eDv18+bng84nH+b3mb8h/lScqPPF7zuMPHD+8HvD6kP41jcjx9F1oV19ln xsjx9/bavRP3mYljvYVXYscXzV/++vRRVA2K3f+xoqxuTut1+3Ge6PF8+Pvj 44LHGx7H+fz4tzqH7Er+S/UHnwd5POdxiY8v3k94fcccnvP1YfqHupHsNboo a1Z/vfdi/t6YnSahj+p+pzmt0+88Hf5+eL/n8YTHaT7/8XXF3+pCqt8IX6m+ 4+sLPk/yeM/jFh9/vB/x9nhwaPnBFaE368ZOzhYhSiei6+Ka5vw+3v68X/N4 weMwn9/4uoGvx/5WR1N9THU0+S9ft/H1B59H+XzA4xofn7yf8fYievzI25f3 W54+j7N8/uLrAr7e4uvYv/UdNJJ9aR9fD/N1HV+f8HmWzxc87vHxy/shb0/+ d9rPxzuPo3x+4vM+X0/xdSpf//+tTyO/pHgnv+X7DL5e5us+vn7h8zCfT3hc 5OOb91Pe3vw5osfnHz6v8/USX4fy9T3fN/2tryWcpPxDOMr3b3wfwtfTfF3I 1zd8nubzDY+bf8vXPA7y+YXP23w9xNeZfP3O90V8v/m3dwA+b1Ne5/tivr/j +xS+3ubrRr7+4fM4n494XOXxgfdz/r54viQPX5/zfc9/6Se5Pv1v7yZUR1J9 TnUm/97A9818/8f3MXw9zteVfH3E53k+X/G4y+MHHwf8ffJykbx8v8j34fz7 xt/emaivoX6R+h7+HYd/j+D7ar4/5Pscvl7n606+fuLrAD6f8bjM4wsfJ/x9 83KTPvz7Bf8u9Ld3Oeqz6f2C+nD+fey/vPNw7xV83833j3wfxNfzfF3K11d8 ncDnOx63efzh44j3B14v0pd/T/vbOya9+9B7Gr0L8e+O/PsZ/w7Ev2f8l76c 6y/5Pomv9/m6la+/+DqCz4c8rvP4xMcZ7y+83mSPv7378u+89E7Jv+fy75L8 +xr/TsS/d/B9O99/8n0U3w/wdS1fn/F1Bp8vedzn8YuPQ96feLvw7+T8+zi/ ztud92ceJ3j85fMaXy/wdRhf3/J9A9+P8X3u394P+HzK5wUe3/g4/b/7roDv SMn4rpSK70zn8N0pDd+h0vFdKh3fqTLw3SoD37Ey8V0rE9+56ua0TvvpPNEj +sSP+JM8vHzxGu8OLd5sI+gvH9Du3ctR0uyYXlcelC0RVgrdR+z4ECHpvDff Pyg+Regh9FpXW/RQ6m5XEzlsWiP5k09XJwzp/1W6PTtjs/ciZfHu65YFnq4a Yg3mYVjviv1lMnZe/QOjlwH6E08wfqfBf2lLJg9vv+hlbN2yeea2qQ6LhR0r VowoG7dTCmnl27xsWoLQ5In9lJseRdLFfs1V38fHST3EBtPPKeuKLfOmrvuW ryU2Gbx8RGlnFbnOfqOXwxW05H1c2dwF6wL2Bzmz8w5PGb03oJ+8kvF7Cf4n IS9/vxLstwD77TX8z5j3TRVkC8u67dhxR9owsVHtfIUvwrxbQsbcWx3kj+Js LCInOsn3nCm7MNW+h1z1/cqw3NrB4sDTA1uEyzzEqZirYj0P+61wfukkRm8k 6Hdoyfjlg78/7Mv73zoZs39j6Ke+gJ1P2pgfrtXhrbCqV+9TbgvayH/I7u+4 3N5Kbun7qtNSexdxdlCXTq2tR4mVBxY073HMTdx59ZpBWpCHmH6IzWuxvhT7 S3D+hhWjdzmM0R8KeYvAPxP+wMfHB/jfCtyHKvTtas3oHQ/subaoVk88PDb0 p/XPRfKbO3ackK6tl+9JPN4+cNdyUXvvkKxPfsdFZ/MBNxqePSMOwPxkEls/ if0+OP85mNHLgbxLwG84+JvDf/n43e7A/NtvGvOfrTfZ/WwWmP4aoF8y12T2 JZed8jffnoSsfXdaNE8a0bzHgDzRKrPrptqfF8TAJ49MNdQyRE/MnbCu/53t v47zk0GvLehrwh903cEf8cbjS5kti8exAvP3aPjTokXsvuJhjx6Q72uap5pV 6Q3xfdvmrW48z5YX3X3k9yTqqbxH/vWASxOeyssx34z1X9h/H+e3gt4dH0b/ GPi9B//GwAce/woqGX48uczi0ymO+f9j+JduMru/TrCPI/gfLZLtatHosXx9 zK5b8cNzRfXlZa8dNe+LOzCfiPVEXbZ/FM73OsvoxYH+RvD7BP5awDMen2uB dy+BL8aI14r9LB66wt/yMth9qtxj9iJ5Xgf9EZUvXhFLFMrEklEJ4gfMJ2Hd Cvv14Q+tQK8p4q8z+GWB/zfIw+cPxTcMn2cB//yBL7sRv7sQH+nFzP864X6N Yb/nkO/Hoo/TrvQ/Lv+GuQPWy6+x/afhv5NB7xDoLwI/d/D/gXzB57d0byZ/ 46FMH5UPTD8F6LsG+ufDnq1gH7LXW9ivaQMmX9NgNr+A9Wfw13awpx7ofd/H 6HvCnkfB39W7vj3p/r9/ZP4Qe4n5x+5Y5i8bA5n/jIR/6sC/jsHfsuF/lpCn dhmz3xLMd2HdGf7sTP4N//SCf06Df+6Gf96srO+fFE93Ee+jEG/+iL9cxPsK xKeAeL2A+L0B/l1h3yrcrwzzoVgvwP6zOP8H9HYj3ivBTw/51YmLd8KngcCr PR4Mv94DPx2Bby7Au9vAv1jwawr7lMEf/sB/FXG//bEejP0HcH4V6HVDfpoG /FTtxfgPEerjJ+H9CuB/OvJBPPJDJ+Sj6rUsf0SCfgbsMQ/5pgv8bTDiwwTz jrjfE9g/EucvIL8FIh99Rv3wA/VOxvv6+Yjy51Dk0y3Ir7eQ3w2Rf6eDXjn0 v4b7Mob/2iAetuWx+I2KZnNX+J8+9q/E+fugF7GJ0V+K/N5Ti/H/wOV3qke2 oz5p5s/qFRXUL+tw3h/2XYD7keBPV+D/IYjXpcCXxZivxfoh7O+I861Azw30 76I+S0G91I+rl6i+24l6j+q/ZdhfCPt2gT9EODL/UYS/3wU+zHFjeFJxgOGf K/AlEvEbj/h8JLDzPUGvI+z3EPzatGD8L3H1J9XLEaifb2LdHvrchv014b+d 4N/aiMeHwI95wDs95As3zCuxXg08KUG8voT/Uf3mBn4x4D+Tq+f/Nf0R6+dS HFc3n2iZbizoY6Tf/Q70na3s11fS+bygMEbdSUJfmLpxtqbL5AMThfZKJWHP DGcI6B/PWa3o8X3N4QBp+vIaS8kkUEKfmbYi/+KKTcN2Ce31iv+oNooR0I+m z941vbLLoqvS506Khmsq0iT0rRlrrROidGSZgvEI484PelZK6G8zgia0KIwv rBa8x8+abtjklYR+N/PJyTuxTqMOSev6ae6Z+uudgH450zv055v88ueSvcHx ZT5h3wX01Znt8Psa7Kff7Q4zOjNBn+gcAl+Sh/h2tWFyhkJ+kvMd9DJuz/Ql vRSuMzukwj5khwErmd3aKDN7kt1mezM7n4H9yc4qB9m91OC+6F5+cPdHI63n fGJ0vHCvkZfvNTxo7SVUYpzfZ9r+K6P9pXs5eQNLf6+R5rZ+mqDvsU8wSU2Z 7hu8RxCf6uvOnZYl+YVb3J0ZmSOlBDyc6fMlXno2Jej8x6YlglGn+4lmj5Xl 1qtnHbcPUBU9zvvtvb1YX16ydmmt55Ua4fRJv4aVVhri1JcznfslqMmv+D3s 5Le8i9h+3xTR7kNreSnmm7GueYrtX4vz7UHPHPRVwW8/+B/2YfK4RDD5aiHv Fsh/oQ3TZ9t5pt+yvkzfEXlM/+EYFWHfBM7vyf5R8PuGiAND0DsJ+1knvxtg /zBacD7LxofyjeFLn2ZLWp8PRX9SOifpWk+bd/j5HSHWZcIur+ElwvVo81jd qy3lW8a1tho1qVhy0n5z76mhitx7z5upeqUd5V0dCrrOmGslOoQ/NpkVoCdX OVLmfXe0vvj6csIGjY9tRUfX0oUnbTuLLi6n3sz7aSRWYL4T64bH2H5PnJ8H enNBP6QN47dqLOOvvJ/JE+LK5POGvIGQPzeH6XMHepZi9IY9j8Me5L82yvVx gvx7zzIWB6OAG/nJ7J5ccU/iJ8ZvD+z367ft5X56hcLYGjZqVvvLlg/6I604 Yfvnyspf0tylxpln+hrLD1zSLzm/rKP4zU3FQtViuLywR5uM9QYu4ui3J4Oa FU+Urym8XNAtwFZMaDBQ0a/cUzxU0sTn3uWh8lYD1hxtr+wrDtZI9vgzbrS8 O+YVWA9pyPZ/e8DOPy9n9C6C/gPwGwf+u5YweV6cZPL9hrxbIP9GjPdgz2Ww 7y3o7w+/nQV8SOZwlfDDBjjjfY3hiyX835j8H/eY0YvdYyjkiYQ8hedUSq8M ay5GnmVj8YM7B/1Oe8r1c4e1Tf1jIG+mNGyl0ubx8pYrr0hJ76bK9eSyd6te hYid5I+Tls8YKO91W5bYftlucVHesqR1TQPFvRE+QeUvD4rvLOQzHleEicmY j8R6EPb3ymHnZ4OeLugPUWT8Hpxn/L9BnjGQ0wGj2k8mfyb0GQ8/DYW+X6H/ ONijEnloRPv6eYjwuU8HhuNHgN/pkxmuOPoyXPnpzuLjEeJ120V2z9txz33k TN4EyHv2peed7S5T5cNL2bg85m156vhdotrG70btUzeIEy5teNZ4fJrYTH1H WtOweLHDdF/n5o8vipMiY3teqcgWtxuuf+ZYeV40Mr4yun3QefEI5qOwboX9 DXF+KeipgH4i+B0F/6sYv0A+Zdg3GvL3gN82Qfx/H830jQeuTgLO/oJ9PnSs n7cp/+UNZ3myY3eWH6UAhtd7OjK8fhLFcCdZl+FOIOLnMuJnxgrmB8HKzA8i NjB9DkCf4Kbbh7hpSeICjOesxzps6JwijnT/uCnBPEcsmROqq3rpvtzpfo4w QCFNHuP3OHyrW7Fcd9Pdh3rn8+WpmHth/Rr2u+J8Jeh5g/5OjIfA/xnkOQs/ fQl5b0D+LdCnO3C8J3C2Avp/gj3KrJh9aofXr3Oovrg/jtUh3VF/bA1mefBK DsuDKVsZnqsDz1sCl44BlzQkFl8WiK+wFsxPouAnAvQ9DX1799lwPvFykVzA 6Fl9tsmGtSnyd8qRuv4Zt+WKuwpNBr69IYa0Xy7MXJQm/7WTze9gfSn2u+K8 JcY/oN8N/A6AfwnkGQP5RgJPTkL+IdDHBvpdg773oP8d2GMq7FM9rn5dSPXb a9R5inGsvjuD+qIz6otJeSxPWiOvFgHvxwPvM4Bb3YFbrRF/wxB/m+FHlfCj DNjjLewxxU5t54YRt8TuGM0XTH/b42CyuHnt4R2TVlwRbTAXsT4Zo4TzN0Hv Fehrgp8Z+M+GPAMg3wrIawv5r0KfNtBvKPRtC/2jYI8/sM99ro6m+jgAdbQv 6ufJqNteoW4LQv3hhvpjG/KoMfKoczeWD0KQDz4bMVzLBa4NR3xeRXzawc+u wM8OwV4WsNf8gQ/zLqvuEkdj3IKxHdb3Yv8rnPcAvUzQNwW/SPBvD5w9SPIh fxlA/gDo4w/9fKFvAfR3gz3GwT4LuL6Dxnf9mX0LsO/IK2Z/qyWMju8Vdj9j wOf1c3Z/npAjD/e7G3I2wf3fgR7kj7eh5234z1PYwRH+1RV2ao9xD+zXEXMn jIOwvzni/x7oHQf9YeB3CvzHQJ5tkO8w5O0M+Y2hz3YXpt8K6PsNdjSAPTqv Z/Y52r9+n0Z+mTOWxfvt88xvTYMYHqifZn5tuIXhxaxDzO+/3Wd44t6IxcXT DIY35oibYODRVMSVFvDqJeJuAPAsDXGZhdEU9mkC+wTC71QxF7Duhv25GAkf 74M+4bEA/p8gT0fIlwk890RcqwAfsw4y/SYDH2cgrhcBHx0kZp+YcfX7WsJJ CfmneDzD0UPIT6HA2fvI1+fsGQ57Ib8tBU7PR/77JTEc90F+TAHOr0T+LEce oHwzGPoTbr6GX8XDrz4gXmNpjvW72D8a50tB7wLGXeA3H/zHox5yQJ55B3mb oR8ogz5myDNjkK+10W/2Q7/pgzzTmXsHoLy9CvVQUS+W13uhXvqGvK+HeioX dYEq6q1i1A2uOaweW4h6Wx31oz/qDneMftBvIvQT4Tdd4Dc+XDyOB87FYr4W 6zbYr4/ze0BvFegvAr/eGCeifjSEfEsuMHmNhzH546DPFfSTDycwfeegT6+F Pdr0ZvbJMKr/bkJ15BHU5013szpzN+r3qQtYHZqP+l4NdarjKVb/L0YdOzKN 9QdU57YqZKM75H+Puu07/LQCfvsZ8VZyi8WbC3BsBnCsOfLDXMyHYr034vMe zmvBz+6DfiH43QL/NMh1EeP8VCbvPshvgH7mBfoMG+irvJjprwR7ZKIO/6FX /52J+poR6Bd3oe8pTWH95Hn0ReroN79bsb7pxx/Wj8rRF67G6An5SiDfY/QN TXDvpYgnEfEUmclw6jv66yvA/6bAfxfUAe0wp/ygBFxzBM4dBr4kgv5HxMk0 9KXzIE939IMB6AcXYLyK/toffeFH6Dv4GdO/BP21Nt7lFFfUf5ejPnsi3i8C 0IdLeN/Q0WZ9epcU9v5xHn38c4ynwH8/+D/FvbaA3x5BvGxCvCQDh64DZ52B 72f3M3yfirzZaRDLm3tQj6hhbon1A4fZfgucLwK9EOqzwM8d/J/DzxZCvqGQ Nw7y+0GflRj34r0nH+8Uq2EPK9hHn3vHpHefaLynyfAu5Ij3tg14N5qPcR7o bwH9Vbi3MvjtJMSDH+LhN97NROBMf+B3B+D3VtQBA5AX21xl9UY56o35rqyO U0P9NR31yC+8V3ohr6YgHzYj+uCXB/4N0SfPhnxDyM8g/0fokwP9kqBvCsa5 sMcs2OcF9+5L75Cqa9g7rxreKXUwLsD5bTi/BvfSD/cSBX9Xhr/3B468B47c BT5n4F1bA3nPAnnPHfXE0yusnpiEOq3JBlanRaL+tcO8M9ZjzrD90TivBXqP UWe0BL8T4H8F8uhDPno3j4P89tAnGPr1hr4e0L8G79tVGH9y7+T8+3jDNfXX 8zi7f1Sq788S937fkXvnb8zlNVWuXhjC1WEKTvXr269c3xDev34/lsb1uW+5 94Pz3PcUde696xb3jmjCvc+mce/eX/7yXaHruYJsg7TsXmdyPzgPHd7KWj7r 2ZwjYj+bvlPUxy0b6NI7zLNCJ6NxV9vZTXqNbFL9yja6a5M+/VJW2V3bpaoX HPHJrkWikuCm2s9evalOzbkYX/uPd1bd1bkZXDenddpP54ke0Sd+xJ/k4eUb 1/PwTm/HqbLq0GVm798EZh8Z87WxiXRY1je1W7vsUdnZLx8duG5y4bnMoihC /4SukjRIcf86w7PdpOhtfZISww2ku32dHJuP7iGkDDedd9fRQdB3ZHMFrDfF /m2F7Lz3Y0ZvWQqjrzSW8SsE/+WQh7ffHazHPCg/6rb5oKw2c0b6oOXnszs3 ND5w4u4jmfaguyduVzSSKhVV3C1fPMie9HTl0cWuTsKi7p4NNt7uK1jNDuik NcVKavdef/d6o76SoTeb29M69ndvzc6ngt78Boz+nCzGLxz8G6xn8vD3WwP7 Lcf+br/9bUSbF7IR3dY8GHD5d/bhh7NeXeysL0w4cbXtvXNDJbeC0O2m7ouk cT/v3JV/HC5tjzSxz5u4VtAd6HFy07FwIQvzK1Vs3QT7T8Sw83mPGL2hFoz+ SvAzBf+msC/vf8Nh/6XQ7485O2/+Mln11mQtwdcj6lH/P47St2mJs7o6ukip cUkNdsvOCgFba8bUyCuFPx0uNd6wQ1PM19plENHdQKQ5rSdh/+UZ7LzpaEbv fCmj3xj2iAL/FvA3Pj4Ww18e4D6coe8E0Gu980ZSR73FgqpP4eo7p14Ic8bc M6/ZbSXujcz9VHhujvjeLk4+s8EG8dE6P8Wy3G11c1qn/c1xfgjoXYT+YeA3 D/znQh4+fjfBv8tbMP+Jwv14T2f6twB9623hyUd1B4ul0wPjLvwjz6fDKp+a DM8WPYYkjhhseFdUXj+idE1YYd2c1mk/nSd5O8xk9DPBr1iH8d8IeXh8sUE8 OsPfB8CfEnBfZA/iFxDePGLZyHzx5oOb54zMX4vHtXdrJ5l+FJMVS0L31X6s m9M67afzRI/8oTX4WYB/eSMmD49/Y4AfZxCffauZ/6+Bf9H9kX2Iv0liUrli y4/i1Y/DEsc/ei5emN4k6+E/9qQ5rdN+Ok/0yH+jEG81loz/8wgmD4/PSsC7 3cCTg4hXigfyN7pPshfJo7oz6rllarLo7HDmW4ML2+rmtE776TzRI/oZ4DcO /DtAHj5/aI9g+BwI/LMCvlD8UnyQ/9H9kv1IPivfMJNR1vp1c1qn/XSe6F0D fQvw2wP+tcgXfH5zh/yuc5g+l/4/sudv0C8Cv/5zGf+VnD3p/iPgD1Xwj/gf zF8C/of9cxXoN0Q8XAX/75x/Ujz9QHypId46Iv5i/4fjPRn0J4KfP/jPU6wf 74RPKcCryeoMv+4AzwqBn83/N+OnGug1BP0OyMdbVRh/zaL6+El4fwb4X458 YPyY5QcZ8tE85A+1/2Y+onwxDPSuIh/tQT5aAP6+XD6i/GmLfNoC9ZEm8m1P 5Hd7yBuO/Hwa9+UP//qFeKD4pfgg/4vB/t+wX3/QUwF9A/B7gPw+icvvVI/M R30ioV65g/plAs57wL5V8AdD+FMQ8DkH8WoMfJFj3grritifg/ONQG8P6qW9 4DcI/C24eonquwGo916j/ovEflXYV8GF3ccWTeY/2vB3L8SnfB7DkwMfGP61 A76tx/qzJ2x/mgY7/xL3mwT7RYHfWfCXcfUn1cvlqJ+dsT4B+oyG/YvhL7mI t7fAhxjgx2LgXVvkCwfMw7Eux/5YnE8AvVjUkzLwe0f1OlfP/1v6o2ahmUon Ts63alL2trRkxwhZK4z0e2LnKJVNW+ZmWzuf2zDeblH2C5vBgesmJlr/cNvR 01Vtg6zIron1grbbZNGy2JZvruXbOOw12RmicTI7RCfV4aZmbHakZ5hbn0k5 vcMv2W6a7Zwre9isZa8HD+7KFOdV90/O2WybO6P5xqdXvmb76Xd6FDrzZXZb Ve8Eq7dWdp/blDXS93stUym3bJW+WlcyKAg5mbMx0+6CxvlQsw5GwlebocVX u2lIu0YE9wxQ1LdP3PdKs8z3Rva5XnH+SWfbCJpTzMOWeHjZl49xfKk1Tk1q 2Dksuv/8DoIQ75P+4cAa+5Nj2e+iFdtPv687yeiEgz7RuQi+d8uYPMTXvTWT c1h7Jj/JWQW95qkxfUmv3rDDTW1mH7JDEOxmbc/sSXYrhZ1bw/5k5wu4l564 L7oXFe7+aKT1ZqCzF+cPHy8rOx2yUfYSY9/rptZJljHZq4rfvwy5cTr71DWd Ge2758ka2k9X1068JOtbqvxRufebbJ2Vv+3HWVZkH1Ss2C2YP8zeZjWuZScr FSGjZ5+bkbE9pKmzfMoPr7AWpiSvvj4mbZA03tX5ck9TEyF5X59fIV0chNWn Phne799beu1+xrSD4khB23z4uMPZjpLSSDZ/j/UT0Wx/oAs7rw963UF/Mvjt 78X4x9S+/Y88Tf2ZfFUvmLzz7Jj8KvlMH40nTD9r6HsU+hdgLIR9tDm/J/sb 456e4n4UQG8E6PUq884ePP+KLPYNG+3OTjRvt7gs2zUkNku78EX2QJ0LG0e6 /5FlXXC4MSpdRQi9/KbXwbOC1CN8jNRtcmPpR2Buy6KvvaQUw8+v+/QfJpn0 Tv52uM1UIb/1UreZNwdIQ0/0HGjyboZQ2Lbx70c5A4UOq1TTr30MECbecZr5 6Ky70BLz0HZsXcD+yTg/APS2gP6GIMYvYxPjnw55Ll1k8k3TZvKmrWPyT4c+ g6BnJfRUg/6f4D+Gw5h9mtvXxwny70jEwWL4/xDckyHu6Qb4GYJfXhPV6rSK hkJQUzYGh1+eVVrRWdpe+fyaf7Cx9Ht0Zot284dJ/nvkA67MGyb8vDi1uMTK RzALfza+5tAq4dexdsdrBtwTFhfNq+lhdkTYqz3sUXO5ohghn3js+/bLwuLz DVq7nWonqlnqppgtv1c334J12j8N52tBr2oroz/uEuP3O4rxj4I80z4x+SZD 3kroIUKPZdDvM/TNQtxdhz02wT7aHK4SfvgDZ1oCX5Tg/60Qr2dwj6/asHvs BXnOQ55VE49p+aQ4ClM82di+3M97t+5JYUfx8x5Z8w8J6npBlwwsNMT4PXre lWOqhHEKq5zHNhgpynw8G6V16yk28DQKKT+8SgxWWZ5orDBSHDx6Q9PYH+Hi MSejpIPHJ9XNaZ32O+A80UsAfQ3wOwj+bSHPFMhZBTlHQX4j6GODuBKhbyXi /xHwKgz2GaRWPw8RPs8BjlcAv7OAK/1qGK483sziYyviown8zB/3vA/yGkHe Fqu/bZq8sp2ojvHqz5wGyU6+4v1CrfxDt2aJawztk4ofnRILJmvERThEia+a DFwxaspV8f1W9chwi7Oi67hrU5x1H4iT0pWVRv/OqJvTOu2n80SP6BM/dU4O sudRyCuH/I2gTyz02w88mN2A4fxh2OMr7NOhff28TfnvPfLkAORHd+C1P/D6 AHBnPXDHCPHZGfHD+wGvT9ShvScj/tGfxnN+z7S3WxWLsww19vf5xz69Dry/ PNrunVi0fma8h/BKbFId3+HAp4/i/s4enXMryurmtE776TzR4/nw98fHxULI /wR4sBT6rYW+o6G/AezhAPvIy+rXOVRfvEcdUoj6Qw15VEQe/AE8nwk8nwtc +gNcknHxxfsJr+8nzYF569M/1I0lteP/PPnHXr4lI6PU9N6LfXaf3BUW+kj8 1Ht95ON/fqc5rdN+ng5/P7zfk3yEBzWQfwr0MYN+jaGvGvQfhLogDvaZwNWF VL/Zo85rvZ/Vdw9QX/xGPbIPeXI08uRW4P0e4D2PW3z88X7E2+Op3+7nA9bf rBvXh5x263AqWvz2YubkpH/imub8Pt7+vF/zeMHjMOUryl+Nod8h6HsP9dU3 2ONIMrPPYKv6dTTVx0NRRweMY/WzF+o2A9Rtx1F/fPJn9Ycql0f5fMDjGh+f vJ/x9nrz9MSRypOT/svI25f3Wx4PeJzl8xfJ3wz6GKC+ioO+v1HHusMe1ugv nLm+g8Zk2NcRdrQ+zexvDDua67H7+QM7buLqEz7P8vmCxz0+fnk/5O3J/077 +XjncZTPT3zeJ/nDoM8D6Hcd+lpC/2DYY8x4Zh8d6/p9GvmlCeK9IoP57YtB DA+67Gd+/V6L4UV1DPP78Vzdx9cvfB7m8wmPi3x8837K25s/R/T4/MPndZKP 5OXr0HXQrwz6akH/4cDHeTeZfYZwfS3hZAryz07gaBfkp89nGc76IH+ZA4e/ Ib8pHGc4ncDVhXx9w+dpPt/wuMnHP+/H/H3wdIkfXw+RfJSvfyLPOKL+cIB+ WdB3GfLMUtjjEexjVF7/HYDy9hHUQ7p4v3iCemkP8v5H1I/WqAuMUW+1Rd2w n6u3W3B1I1//8Hmcz0c8rvL4wPs5f18837o6EvJFQt7X6LM8oM8g6NdzK9M3 Hvp74p0gHPbppV//3YTqyBh6N5nJ6szJ6GeW/WZ1+FfU9/dRp55G/T8fdew2 9Ak6qHNbYuTl5/2Cjzcex/j8wOddvp7h60Tirwd5aFSAvDGQvwP0oTrcHfrm KbA6/B36mT+ow4dy70zU1wSiX7yIvucH+smF6At74j1iJfqm5ehHs9BXHcXo A/m2QD7yUzWuXv/N1Z17ufqJrwP4fMbjMvXXRL83FydLIM96yBcGef0xzoI+ M6CfMvTVgf6N8K6VA/tM0qn/Lkd99l68XzTfx/rwQ3jvWYV3inR6B0Ef/wkj vVMkgf8F3OsP3KsZFy+fgavFNgyHJgHfOwPfKW8OQ96keuQG5puxfhP7J+D8 XdC7Bvoy8GsJ/hcgz07I9xjvPUaQPwz67MOoD30/4J3CHPa4jneKXtw7Jr37 LMZ72jS8Cw2MYe9tp/ButAvjAtD3gn374t7G495KEA9d/zA8uAtc3QacWQz8 1gZ+uyMvBqHejWnP6o12qDcG3mV13DvUcTqoR25g/yKcf4h8OAL0V4NfKvgv hzyvIJ8+5P2Od52+0Gcm9HODvk4YO8MenrCPK/fuS++QwXjn9ejC3im9MQ7D +VCcD8G9qMJvFeHv1+Dvm4GrInC2EvlqIPCZ+tSlyHvPUF+9L2L1xC7UaaWe rE5bhPr3DOpaI6znZrP9l3F+LOhVzWT0b6EPvg7+rSHPcMJ9yHsY+HURfjYY +jWEvufxfqsIe7TGaMG9k/Pv4wHc+hzO7gs5f57L4YTE4e8G7ntAMvfdoNK6 fh22nKtvt3J9w26uH6uyrt/nruXeD/y5d5n93HvXV+3674gzuffZDty79+i/ fFfAd6RkfFdKxXemc/julIbvUOn4LpWO71QZ+G6Vge9YmfiulYnvXHVzWqf9 dJ7oEX3iR/xJHl6+hNUn2m4PshF+GV5VjH48Sup52aq14fMlQk37xbE73kRI LoaDQrLOpAgBgzfaqVx4KKWfeGilNbaRvKbNi3cHe3+VBsbMf9J/qrI4P/T9 yyuihngccxHr27Bf7srOfwC9YNA/BX53wb8A8vD2y8d6qM+ttNW9FguhZXcC tozcKelu6zBHc1KCUNj5rvWE4UXS/QNN3xp9PC1V1Lh221GjI+76Y6E4XNIS K0zzXbp3UpGfCkoxPfKjlbyZGZuPxHoa9r9MZucjuzB6JyMYfdVyxs8b/JU7 MHn4+z0Mfdpi/4ONdqcXOqQKVbfvT1UKvyPdnrqy6FujL8LzsGO9LXM7yCNN VjR+OdJJXuB95KhDzx7yrJAR0998GSw+Dd9u1raXh2gQyubPZrP1Wdi/GOeD pjF6Y0G/Zxjjlwn7xEMe3v/mwv5noF8XnA9f6L9mgc5b4UKoVnsD7zby8Sb+ m9xUreQDk2rmfuzhIm7W/rLdrOso8Vj7jELhjJv4IOTMuQHhHmKBHptLWP+V yPaX4/yR9YyeKuhfA79c8H8Gefj4+Al/ycF99IK+z0Dv5rxum09YthcvFaxY mfdlkTzWvo9P0MX1ckPHqW6jo5eL187062jod1zUut7t5pTEM+ILzKP6sXVf 7F+H8+8WMHrGoD8R/PqAfyXk4eM3Df5tG8f8xxv3sxr6zwf9sBVjVL3675Rb LdYPOFhxWjT2WW6T7ZQn/m7f4XSn/+P/J0sP7mHRLEMsx7w71idhfxzOh4Ce simjvxr8JqUz/imQh8eXM4jH6/D3LfCn17ivGNjjpS/j9yF0nJdQckNsPlZ7 pfmLbHmPxE9Fr3Y/lQ86FZ7bZPxT+RDM345h6/3Xs/2OkNcd9GpBfwT4JYB/ AOTh8e8U8KME8WmC+Binw/xLuT+7PwPYh+Rb9CDh4JgGj+XVl1Tjq9xyxZeh l6/v07gv6l9m87FYPwh5e+J8EvxhAPz3AuJNBfx1IA+Pz6HAu73Ak4eI34Pt WDw8gb/54T4DYK8KyFdbcFunOveK2HjC+1ZNPRJErQds/hXrfbH/Pc4XgZ4X 4k0X+DAC/E9DHj5/nAY+Gwcz/NOPYPiSividjvjokcb8rwvu9yPsZwT57u3L XhosHJfrYf4H62bYPwH+2wP05oN+C/DrD/77IA+f315B/iXmTB8r6NcJ9qzm 7HkS9rkKe/2GPc0hnw3s6YX774f9D3H+Gejl6zL6U8EvxoLxb32ivj3p/tNa M39oCP/oBX/ZAf+5Dv/Ugn+tgr8lw/9iIW8B7FeDeSTWl8Kf9XG+Cnj2qQ2j 3wjxcPU349+D80+Kp1DEVwjibSribyPicQXisxTx/gvxPhz8o2AvNdzvGsyN sd4A8d4V8X4V9IyRL06BX4taxv8WF++ET2+BV9eBn5uAZ4eAn1uAd4nAPwXw awT7rMZ9RsN/L2JO+ED7N+P8cdCbBPoS+CUdZ/w9B9fHT8L7vh0Y/j9APshC fshAvjBcxPLHEdBfB3t4AV8y4G+tEB8FmJdg3RP7V+N8o4WMngXozwS/vuBf xeUjyp9VyKcqqI/uIt/uRv49B3oPoX8A/GEa/OtbGxYPZ9ay+O2L+LuE9W7Y H4vzF0BvGug/BL8y5Hd1/fr5neoRszxWnyxEvbQX9UsNzj+CvkdxP17wp2TE myni9RfqJSPMF2Fdhv1BOB8DeqGgPxb8SlAvFXP1EtV341Hv3Uf91xfyNoF9 P+M+YhOZ/+xAvA1CfC6xZHgSvJbhnwB8W4F1N+xfEM/O3wa9u7BfP/DbCf5u XP1J9bLnGlY/j8W6FuyrCvsvh//+RLytRjzeAZ41B97FAZ+vAY9TsT4d+5/h fD/QOwJ/+wj7vUO93nxN/Xr+39IfoZ9LkfXp/Y9+xsIQjPT7ip9LqxXm95Ws bPdlZzV2ktAXpu4LWzI4Y8dEoUDVr+8q3RkC+sdzNYO0rr6MCpBaGW052Lpj oIQ+My10XWzhl6G7hDNNwlf0qT0uoB9N334iJKbnpKvSTp2royaXpUnoWzPC UtpOqJqdKfi83Ja62KyS+tuMrZPajre5Xi00aLGwvODnS+qDMzPcGq6vrT4k RejqTX784R31y5lfpx8zdHj7XDrewyF3z+rv1Fdnzp7Bfrdpy/bT71tGMzqh zRl9ohMBvsMhD/HddpbJaanN5Cc5C6DXlKZMX9JLD3Y42onZh+ww0oXZbUAz Zk+y2zrYWQ32Jzuvw7344r7oXvpw90cjrTcAnbk4n1z7Zm6SpZdQjHGUoB/2 aai/dM/cbmf3qjWSydLDe/3c9gnTIhqVxK3YI/xZV7zk5egsKaNje81+kTnS OD1f/8zMM9KewV1Dn/55JmT19vVKyleWH7I4e/3sQlVxTWV0Ycp0ffmNtuZB Cmk1wsqLjh+XmmuI++alqbY8qCZvZ9FvZos5XUSX53N7bShpLe+Lecf5bL3F Jbb/gi47bwF600DfDfwWuDL+g9oweQZ3YvIdhbxx4Uz+/dDH3ILpNxD6pkL/ exgjYB8Nzu/J/r1wTwG4n46gNwf0Cr/3jjt6N1qwxKiZpTgj62G2tGfB4aSI 2lRpQbWVm+7rO8LABQvH7ncrEdooul5dlt1S/uZcjG7FxmKpStTzjvvVVP7Y XdbV50lHeccnlhODp1mJCXfbvls/X0/+ycF2VYGoL45asOZEn/K2otEzz8Fh Vp3F9zn31Od+NhILnrJ514Vs/Sj2d8P5gaB3GvRP9WH8Tp9l/K0gz1vI97KK yftmPpN/APSphH5rMWpBf13Y4zbs06ZZfZwg/w5GHPSD/4fgntJxTwqw19dM xu9djfHoTO1C4XYtG1uoX3yz1uGP1O3Uwc8j1vyS1EwXuTY1MZZfrxjXunxu R9Fohna8rPNw+eHG/v47W7uIWW02h2nenSif4/k8xHixrZj423Fw91ee4oXQ i+HZGUPlE6pn/1zV0Fccb/1n8u9ho+ULMZetZ+vL/7D9/Sew81agNw30y6cz ft3Bf6cJk8fyNJPvTQsmrx7kX4VxEuxpDn1F6G+IuPOCfe50qo+rhB9LgDMf 1jJ8cYH/X4b/F+Med+Eev8Je42C/MQkV6v0mNhcPx7FxtMPDksmHPeUNpw2a fETdUO7b9ezZP8Hj5ZL/p12H3kyVnww01Ch9HiLuuWC+w9VxoPxBTU3lhGW7 xT3t833fNAkUu4fs7Hr79UFx7s23+v3Lw0RzzM9i/Q32T8X5N0QP9APAz2AK 4z8d8rSCnJrxbCyCPZ9Dn+mIq93Qdw/0t4Q9goC/1k3r5yHC5+HA8UvA7x3A lV1aDFfUUlh8tEN8iLjnRbjnFMhrBXn3ax95UN1vqryoDRsnjNI+ljdul2he ebSmd/oG8ezDqPOPxqWJWt1T2q0Nixe79VayW/3oojhxkM0Z14pssVu2QWqf j+fF6EUBh5MCz4vdMR+GdQfsr7Zk5++AnibonwY/Z8gxDuMUyBc2mcl7AfLb QR8L6LcBeDBfh+m/BPa4Dfv8aFM/b1P+m4w8GYT8uAV4vQh4nQPcOQnciUL8 NEW8roQf/IQfVHxk+qyAPk2jo7430ZJEdYyD133xXmuUIi5edDR+t1mO6Gv8 7qfLxfty2fBZmfcU0uQ7bEtbBw8tlnfrl7i4dU6+fD/mnlhfif0+OL8K9DRB vy3Gc+D/BPL4Qb5QyFuM+O8HfXZAv/3Q1xH6u8EefrCPE1fnUH1RhTrkBOqP +cijI5EHXwPPFwDPbwOXvIBLJoivUoov+Mlb+MkY6OsMfaNGFSx/falIfgBj jPKry97rUuQrZ4bsUc24La8a/CRjS9kN8VGBg+vqRWnyJ5iPxvor7D+K8+sx zgT9ReBXAf7lkOce5GuVy+S1hPzNoE8X6Jdzh+mrDf1Xoy5YDPs4N69fF1L9 1h113o5hrL5rjPriOOoRJ+TJ9jKWJ5sD72uQHxrrM9zKAW61Q/y5I/6C4Ud7 4EcusId5Y2aP2Nmm0fLht0RfjLdvdTmtfyhZlGX1eNd6xRWxBPOtWI/BWAt7 jgC9CNDvAH6DwX8E5LkC+eTAWR/kq77QJ8qe6ecKfU1RX5nDHmMmMvs4ta1f R1N93LAnq6MrUD8fRt02DXWb83lWf1ih/ohFHvVHHr2OfNAY+cAbuDYKuOaN +ExGfKbAz3LgZ2Svy7DX561C0k2VXWIpRo1wNqZhfRj2F+D8CdCj+LcGPyfw j4I81pBvIeSdC/m3QR8d1FtDoa8N9I+APTrCPlVc30HjJdj3Mvb5w/7eoPMd 97MAdgzA/QVDjhbwR3XIqYb7nwA91sM/zkNPN/gP2fEA/Os87HQTozrsdx3z Cow7sP8Tzs8FvY2gvwT8BPCfBnkMIN9r+OMayJ8DfRKfMP3SFzF9l0D/R7DH wpnMPn3a1e/TyC+bIN7NpzC/bQA88IRfHwRejIbfh45neHIGcdHoPMObs4ib zcCjaYgrGfBqL+LuCPDMH3H9DvE5F/YhfDSF3zUYwuahWE/F/lKMEaAXCPrz wM8W/FVRF+yGfCWQdzLFNfCxrS3Tby/0HQH9N8AeWvOZfXpxfS3hpIj8Mxo4 Ohb56ftHhrMbkL9MgMNeyG+/WzOcHov8dxk4Ho38qPKI4bwS8mc48oA9xkTo T7i2GH51BH5l+oDFawTmq7C+BvvjcF4Ger0waoNfDPLMHNRDyZAvEfI+Q57J gj720K8U+kYhz2TAHrGwTzD3DkB5ewfqx+BkltezUS/tRN43Qv3ohLpgGuot ddQ9S1A/XkNdMQf1WgjqDi+MraHfJejnDr8xh9/4IB5tEY+TgHMyzCle+2O/ K86Xg54u6PuD3yCMDSFPIeRbPJXJawn5D0KfCdAvIZXpewb6j8U7QSu87wzQ qf9uQnXkKdTnCidZnRmE+n26JqtDlRey+n4A6tQQ9FdeqGPD0CcsRJ27A6MG 5H8M+b/CT9fAL94h/j0Qb0OAY4XrGI5tQH5QBa65YD2e4hPnt4Hea9DfBn5O 4D8W8ozH2AX9zHHI/xT9DNXhR9HPnNBm+tvDHsWowx24dybqa9TxDncFfc8o 9JO9Q1hf5I9+cwv6pkvoR0eiL+yNUQZ7hkK+xfBTbdz7PMSTL+KpRQ7DqdOo n7ogXzkD/yXk1b6YFyA/OAHXCnG+Mei5gn4N6ust4O9N8kA+HcjbGGMC9AmE fs7Q9wb6QnrXyoV9fnPvctRn5+L9ohZ9+Dq8b5guY336ih/s/eMz+nga6Z0i AfyPwE/H417nIF7GI17GA4cuFTMceoB8NcKG4fs+5E3jxyxvbkY9EoQ8OgTr gXZs/x6cTwc9U9AfAn5DwN+B5IF8ZpB3EuRfCn3CMGbjvWcl3ikE2CMe9nHi 3jHp3ScQ72kdN7F3IV2Fsv+8txXg3Sgboz7sqQz7bsG96cFvfyIe+rRi8dAA uLoJOBMG/DYCfr+8zfJiFer9Cz6s3piIekM1l9VxnTB/ivrLGHm0KfLqQ+TD KaC/GPyeJTP+ByDPH8h3H37WE/I/h720oN8M6DseoxLsoQP7uHHvvvQOeQ/v vM/wTlmBsT3OD8F5P9zLb9zLdPj7Lfh7NHDEDDh7H/kqE/lrGPJeD+S9Gh1W T6xazOqJz6jT/sxidVoq6t8mqNtmYr1sKtv/DOfVQK896HcBvxPg/xO4thzy zYG8H/A+eAz6DId+p/DOmIf321jY4xzGudw7Of8+fpNbX8LZfQvnz4pG9XHi Eoe/ftz3AJGrFy6o1a/DUrn6dljP+n3DIa4fu6FWv8815N4PpmvXf5c5wL13 ZXLviGu599l23Lv3/r98V2gX3L3G81x2r/f91TteHdbKOi195CAjsZ+Np9+l 9tcHuPSOuTGyuknjrrbfNONGL6t6ZfsmwHT7muRVdv0vaf9pEfHJ7sa8qT53 VfrZ9/qyrrtNjK+9FD1DJfJGcN2c1mk/nSd6RJ/4EX+Sh5dvRqWC4XeZr2xA 58pzei8jsi3mvV6okJkkW92x5axGw25kD1o38PH73E+yu15xpQkaWlLQkQCr zydF6UNgrEFFmKU0eHK3DU7DHQVhRsdvY20HC9GYj8e6Hfb3xPnLoPetA6O/ DfxE8A+CPLz9aozZephLq3ZaGxNketZW+fFL7mQ/aLC0qPTGW1nt3pSLO8s1 pYLh5kKp6evsgiK/2nYDRwk3lDrsiLk2XDi93Krn8WlOkv2CV0XXjYZLk1aw eSDWY7F/6BR2fts+Rm8Z6G8Gv73gbwN5+fsNhj5x2F8xd3PmEKvPsoihTy5u ym0mKe1um7jLtJvQzLioUjV+ojS30Ex5+pRAScmkuUGzRzMly1q9Zu90w4Xb x7LUX6ZHCRMxz+jM1vth/0Qjdr5BJKP3fAijbzOP8QsC/82Qh/c/B9hfB/r9 HMzOvzwxX9KaaCQcuT78VrKmu1SdYD+hLHumlOuiF7ppR7LgdfOT094XlYLP 7JrHjfdqiuuz3j3vYW0g0nwy1rOxPz+RnXe9wehlgX4N5J0N/jWQh4+PSvhL Je7jBux3GfTG13w6vdF2qWCQ5vipUP5c2G+yoGN6sJXYyl1q3CV9jpis5e6V 3OifPidkrf2Ki9vq5rR+EPuNcf4M6DmD/lfw2wP+D8l/ufj9Oon5tx/8RwX3 Mwv6m4F+/2fhZbKmg8Wtuva7u/8jT8kz2RvbEdni7KFvL202vCvO66y49XRY Yd2c1mk/ne8CekpJjL49+I2fxfg3RLzx+DII8bge/j4c/nQG90X2I35Ji80H OYzKF9dMW+6gZv5afDdo2bMhph/FNuELtWxrP9bNaZ3203my7znQ7wV+4eDf HvLw+BcA/HiE+DwF/58K/2qN+yP7EH8Pg5OLYjU+ioE+A+KXP3ou7i9ubeO5 qbBuTuu0n86TP5D/rgG/zeA/DPLw+LwAeBcDPLFGvC5EPJC/0X2SvUgehSyl KX7nksUB6xbYnPnHXjSnddpP54ke0e8Pfl7gvxzy8PljOvBZAP69Ab5Q/FJ8 zIf/0f2S/Ui+eYlfOmprtq+b0zrtJ/8lekT/BfgtA//JkIfPb2sh/27o0wf6 Lfpv2jP4/6E99f0Z/6OcPevuH/6wHv7REf7i9T/sn5NAv10Xxm8F+Adz/knx 1BHxtRjxZof4i/8fineilwP6q8HvA/jHcfFO+DQAeNV1IsMvX+DZDOCn8f9m /DQCvVrkt2Twuz+a8d/N4Sfh/Vfg/0XkA1vk35nIFyXIH8b/zXxE+J4Eer1A vyn4bQb/Ei4fUf40Q/0Wg/yqi/rjEfJvKOU32Jf8YQL8awGX3yk+yP9OY78b zhM9jZOM/nTwew3+hzvWz+9UjzxFfVKEesUX9ctknI+DvktwP33gT76INyfE ayHwxRFzJ6xb0H6cHwt6qqA/F/xOg/9Nrl6i+m4p6r3bqP8SsP849PuB+1g4 jfkP5dc7iiw+PVcxPHFeyPBv+Uo210b8Tsf+dxPY+WeglwD6j8CvEPx3cfUn 1ct5qJ8XYT0D+vSH/buFMH8xg393QTw2B35kAu9WAJ8jMNfBenPsd8V5TdBT B/1H4DcV/K9y9fy/pT9qNWFim2cn5lsVDTrULyp8iuw2Rvp9yY1nj/PX+2e7 FH79mWwdmO1S7R+vOTHRWt/YL/xDkyjZ1ySFvFnah2Wev9p+sbyWbzPveNL0 WrX0bNew/WcmNM/KtssLVC6YmNPbbMnwWzlOd2WuGyYHDih4IUtp1mHIJ/lm 24odJUHrzytKxYnnm/ad8TXbobOS1vFyKzud68WPFoZ+lz29tM4jfrmppJ8+ yqLZxkw7Bd9Fg1bqWQmPD2xoMc7UUFp78/WnpEb69qGv0nz9fj7JnjZCpfW2 M52FVtMzVqp6eNlPzJ3QfsE4Pal2woOUubN7CB4ZW64EHlhjX4HfX2A//X7m E6PjA/pEp8qH8T0CeYhv8DUmZ3wCk5/kNNzJ9LoPfUmvGj9mh8cbmX3IDhmw 2+izzJ5kNxPYeSDsT3bejnv5gvuieynn7o9GWtcgOjj/+k1k3zuBe2TOZWxc Pml5oab5uexJKm2/xV3NzC70bTV+qkWhTP342VmBcQWy2+aWamU9fmRXyi9E 2lr+yrZMvzSpOq4se5yS/pPOZrrCztel/Z2PO0olMhsPXT9nITRI87Asaaxk b2IlruloKzi2ebBd0h8shKsXzbMTBkq1sQN+7fs9VViVl9W9edoIySCOzWux 3l2b7Z/bhZ13Ab040LcFvzmKjH+XZCbPxRwmXzrkzTjG5HdczPR5D/0ioa8t 9O+CcRvsY8/5Pdl/GO6pxIjdzxPQ2wV6uwsqN0XNKZJV32dj8fMKsatPVfa0 1Sp9V93/nB12XvnUDw81oZXCjCkvz+kKzsm3xk07NVTSqywJcfNtIzmNnvd7 ZAsnqWN6Svebjl6SzreJ0iVXHyGxuoPm4w+jJS+PzO0HhswTMq7c1ZSujxYe X/KfXVoYKCir+FV+vTdFuI/5sKtsXcD+XjhvBHp/0hh9CfwevGP8F0OeRg2Y fD9zmLwakL/5C6bPDui5DOM66P8M9ugM/3U5Wx8nyL8tEQfb4f9dcU9zcE/3 Ahi/s7Cfn9dcsbi8pTBhMhtvPk7JHfrWRvK7ZRfoFmotqan+2BPTZ7I0712R xldjLyG7yEroeXaq1KB2qPNy/w1CH43ULf0C7go7ujxWHLb8qNC3Ucfi9YWK omXlV9cX1y4Jti0KZ82/2k58HXbs0YGSu4I95iZY74f9K3DeCfRu1DD6ZoWM 37cKxj9OhcnT4zaTrwDy1kCPrxg1YM+WsG9P6B8LeyTAPvc31sdVwg/NjQxn NgBfGp1n/n8c/u+Me7wpZ/cogzwGxUyeFqZttF27ugndO7PRfVzOvfMqR4QD v1u28q45KHzP7NvnWQcN8fQK+yN5baqEfUHn7ZsojxTzQre8WmnRU3Q8bHZz 2LFV4q0lemeONBopjtUoPLWhKlzcEmC/dnTspLo5rdN+Ok/0ToE+8UsBfzfI o2zC5DPCWA57GkAfNcRVKeLqFPS/Dzz4Dfu84vIQ4fMM4Lge8LsLcGVjIsOV I4iP0YiPAtyzD+45FfJOhrzfhnQ+s39OO7EKY7fem979GeArjihVW9j/7izx fOGs8rbFp8Rqrax/qrUocdGLPwZPp1wVG318cGJkt7Ni2jTdToG6D8RBuspL HP5k1M1pnfbTeaJH9Ikf8Sd5hkE+OeQ9A/mfQJ+F0K8T9NUCrpI9jGCfsQn1 8zblv13Ik9uvsvyYCLzuB7x+D9yxHcNw5wXiJxPxE8f5Aa9PvKPbDY9/9Kfx +dGWmSlWxWK7Us89fv/YZ1mfb1madu/E2a/bKfUTXonr43OmOX76KA5tHp+4 o6Ksbk7rtJ/OEz2eD39/JB/J+/ABkz8J+vwErpZD387QPwr2qIB9Qrk6h+qL E6hDPqP+iEUeHIg8GAk87w48DwAuOQOX+Pji/YTX98IaaZ9N+oe68XrMiPHX /7HXsZme+Q/avRe9vJW2vQ99JHoZDNuW98/vNKd12s/T4e+H93seTwZC/iXQ pzX06wp9zaD/FNjjFewzh6sLqX7LQZ03s5zVdzdQX5xEPdIPeXIS8qQ5h/c8 bvHxx/sRb4+JWRv0tDbc/D9Hp+ndxdho8ZbSDssv/8Q1zfl9vP15v+bxgsdh kt8M+nSEfj2grxLqqzuwR/RnZp9sro6m+ljTk9XRXS6w+jkSdVt71G0qqD/O o/54yeVRPh/wuMbHJ+9nvL2O/d604UfSJPEIRprz9uX9lscDHmf5/EXyv4I+ j6CfCfRVhv67YY+16C8MPOv3HTTegX1zsa8Y9m8HOkNxP7fBpyvuj+Tg8yyf L3jc4+OX90PenvzvtJ+Pdx5H+fzE5307yN8F+myHfhbXmL6kfycNZg/7i8w+ 7u71+zTyS3fE+zn0bXbAA/JrfeBFV/i9D/DEEXHB1y98HubzCY+LfHzzfsrb mz9H9Pj8w+d1vl4i+VdDH7VRTL+e0PczcC0K9jjXNP0/9gng+lrCyRXIP7nA 0f3ITzrA2cfIX8rA4SvIb4OA03FcXcjXN3ye5vMNj5t8/PN+zN8HT5f48fUQ yUd1rAj5ddAfUB41Rd8VDf2rYA89vD9Uc+8AlLfLUA89wLvAdtRLc5D3E96z eioadUEr9Clt0Kec5ert71zdyNc/fB7n8xGPqzw+8H7O3xfP9wfkIfmOkbyQ 3w76HIV+Hz4wfddB/x+wR2g+s09gYv13E6ojldHPWKHObIJ+5jfqcDP0M0Go U71Q/29CHbsA/cFQ1Ll9MPLy837BxxuPY3x+4PMuX8/wdSLxp/6K6vDfXZi8 +yG/HvRZCv0q0c9MPMv0f4Z+phvs85p7Z6K+phXe4Szx/vYA/eQX9EUO6Den oW/qir5aDX3hd/RXW2DPSMh3DveuVVS/Xu+HeLoKnOrL1U+2XB1gy+UzHpcJ X2JBv4j6A/BfDnlOQD5tyN0Goxv02Qf9hkPfKuhvjHet6bDPjLD673LUZx/D +0XrGNaHT1Jl7xvH0af/wPvHPPTxPhh7gv9e8D+Be43FvTZEvLxCvFwFrt7+ ynBoAfC940iG75Q3BeRNqkfWcnXCDOQDOn8V9OJBfxn4qYB/MOTxg3zDIa8x 5HeDPqMwZkJfX+jvAHu0gn2CuXdMevdZhfe0eXgX2oD3tid4NyrAeBb0g0Df Eff2Gvfmgvh3Bx58or4cOPMS+coV+O1RVT8v/kC90Qz1xmHUcb/xHvkQ9Vcp 9u/HeU3QuwX6XuD3C7jeHPIMgHwVkLcf5I+BPi+gXxH0LcR4BvaIgn3CuHdf eoc0cWHvvOV4p/yMMQznV+F8T9yLIu7lGeKf8MADuDoGODId+JyE/HUQeS8L dcHrzqyeKGzP6gkP1Gn3LrE6LQn1b0vUbUpYr1Jg+2tw/jDohYC+NvLBNvDv C3m6Qj4LyHsP8reAPm7Qzwv6LoL+P2CPGowdXOq/k/Pv4xbc+krO7is4f27J 4YT1xvr4e5z7HrCOqxfe7a9fh+Vw9e1Yrm9o616/H9Pk+tw53PvBN+5dRm9j /feu39w74iHufXYe9+5t5/J//V0B35GS8V0pFd+ZzuG7Uxq+Q6Xju1Q6vlNl 4LtVBr5jZeK7Via+c9XNaZ3203miR/SJH/EneXj57PLfXktaaiOUmQ/c4HZ3 lDT+2tw/3g+XCGOUWvvvLomQzr5taWF6JkX4kzPskHHcQ2nltNVfnw5pJBc8 4gyqzL5KSYaNi41GKYuVh/Z52fbSELU7sPnuUWzdBfttcd6xgtEzBf0i8KsB /7GQh7ffbKwvayPdjjZbLBxQcE3oNXSn9GHEHuu+YxOEg/GmC966Fkm55fNv RHY7Jc0JfFXm811HHHbj98mkBC0xWqj+EmCgIj9wWu35jw+t5NYimz+8ztbt sf/tb3beOYHRewv65g0YvwzwT4M8/P1mQp/Z2N/K6kTbJJtUIWT20VVLw+5I ih/NlJc2/iIsVLq2/FdyB7ma6W/Tnq5OcuWDyVWtu/aQh75N76peNli8+nbh 1JOmHqJiBZvPOMDWi0zY/qY4HwJ6Q0F/PvhNAf+LkIf3v0mKzP4+0G/GLHb+ xkPDohvqb4WIkKHPP01rI4/M6Hes5Ecv+QLXa6PmmLqIyYZLDwwwGCUOb3xK HHjOTfToqtv0brSHOA3zKVh3wn61THZ+aCij9xH0G0DeHPAvhDx8fOyFvygm svvYCX2F9Yxe4x2Nozwntxd737rSZdz7RfK5Bq7dBkjr5YLatgnmR5eLhcGx 94YtPi4e2t/E80L8GbHpWjb/ifXO2P/zJjvfbCejlwN594JfMvxhHuTh4/eY nPn3V8UF//GfWEV2P79hvxTQT608pPRbtlPe7Zz6l6y3p0UvOylyYP88cZXq 4kuDqi+IXuUbTVxVM8QQzIdhfQD238L5+6BnDfveAz/rxoz/NcjD40sfxOOd NczfC+BP/V3YffWDPfanMn77eydZD3xyQyz92vjm5hfZ8sQTD0I+7HwqXxKz pN/gsU/lMzBX/sbWq7C/I+Q1Ar180M8Dv4aINwfIw+PfGuBHJ8RvU/j/H/iX fQt2fy6wzyzwnxU2ouJQ7SO5WDIope/QXPH3+Yavvre4LzpiPgHrKdBnKc7H Nmf0noC+DPxk4H8Y8vD4fBX45w482YD4HajM4uEj/E8Z9ymHvcZBnicXxvR5 d/6K+OXDpo49PBLEN5h7Yz0e+/1w/jronQP9MPD7AnyTIA+fP0qBz6bAv/PA l7eI34eIj6wy5n/euN/Wucx+zyFfpoJDgdj7uPwF5p2xPgH7D8B/T4Bef9C/ CH57wf8D5OHzWzTkHwF9vKBfa+DLK+jfHva4DfvowF7XYb8CyFeL+TKse2P/ SJw/QfjQiNHvB37P+jD+mZw96f7l8Adb+Mc4+EsF/EeCPznDvyzhn6fgf4aQ 5yv8Mxxzf6wPx/6xOC8HXt0D/QzwGwn+ih71/ZPiyRbx9RLxfg3xF414tEB8 XkW8H0H82oE/+esh3O8NzL2xfhD7WyLed4DeCOC/MfLbBsT7Hi7eCZ8cUB+U VbP8q4L8VgT8/A68uwH8q4C8FrCPMe7zB/xXwNwJ62+xPwXnGyBfRIO+Mfit /8T4b86pj5+E9xOB/4HIB1uRH1YgX+Qhf3yAvP1hjzbwhxT42x7ERwbmfbFu hf2fcN4Q9DaC/knw2wb+S7l8RPnzO/LpBeRXXeTbeOTfq6A3BPnjLPxhuwHz r5kNWTzMMWXx66DI5pbwv0TsT4L9ckFv6iNGfz749XBn/Bco1c/vVI+o57P6 ZDXqlUjUL844Xwt9vyG/PYL/2sP/VyNeJeDLMsydsH4T+zVxvzdAbyTo54Pf QfDvnV+/XqL6TsGC1Xt3Uf+5Un0F+77AfYxSYvlXBf5uhfpSx5HhyfBYhn/J wJd4rH9HfDp8Y/53FfSUYb9E8DPUZvw9LOrXn1QvL0f9/Bn16S3Ufw1g/1T4 yzvUB86IR2fg2W/g3W/g80PMA7DeF/vdER8nQK8r6DvCfgLku8HV8/+W/gj9 XEqzdS9jBh01FsrWspF+Lzg3v+TXjL7SrPWabe/V9JfQF6YuXmLTodXGiYLG yambdDVnCOgfzw1/2lMaEBEgfZu6J2hRu0AJfWbag/HLX4wesksIbuOm7fvr uIB+NN3wXO0BlyFXpXvXmvj2e5UmoW/NaCZTN03alSncXBR2V8uokvrbjB35 uw7n5lQLVcGB37e+f0l9cKar2/5q2f7D0pCL0c6jX7yjfjlzdVZN3om3z6V3 vw4cy/P9Tn115jn8/hD76fehHoyOD+gTnTXgewLyEF8zeybnuKtMfpJzKvTS 02b6kl53YYcnsA/ZIQ122wp7kt2Owc7rYX+y83vcizbuje6l+7r690cjrbcA nQs4P6nz6eBLpl5CHMbzmpWv2jr7S6NGLu+/+ssaqdwn49u1gfuEV0p71SsW 7REWnPPWmOaaJZ3SeWrfNjJHqh416W3DdXHSqehF1z68eSZcV56j3DdLWX40 Ze387lNVxersFpoHPfTlp3/mvY6JqRHkMftyGhlpiLdqs5LebFWTV3bz2hQ/ oYvon29e9eRua7meJZuPVcj+z/rQE2x/VjU7nwp600F/LPht3sf457oxedrq Mvm2Q95rkH+lL9PnFPTTacX0vQj9t2F8BvvM5Pye7L8N91Tlx+7nIOh9hf0a VT/tqXY9WuhSxcZDV2K7197Pllo3XqHTqzpVanV6fPWmt3eEw2ZRpx8PKRGO tAqvKk5sKe/VfKHXlNRiyTvIK31TQVP5o9Y+5lcKO8rvjCocc2SClei81iY7 fqKe/NPq6/tKO+uLER+k7IWlbUXzqfu+z+3eWZzR6E/p3LdGYm/MTT6y9Ujs 3xXMzueDXhzoPwe/BSqMvwR5Opoz+T78L2reMqirr+v/N1ABGwMsDLADCxWQ c1TAwFbCBruxW1DAVuwWsLEVAwWR80EQCzGwUEHFbsQAMX/Xde3XdoYz853r vuc//wf3oz2HvfeK917rvdbenxn2C3t/FRT2v8SfJ/hXGH8twfMAeHgQv9t1 PCHjuz55MJr4X2MkzimBc+qEvn7oa7v19qgmpe8qG7aJ0X5zts0Gm19aj/N3 ne/O+6GVyqzycVyJGgZr219Pyw60UrVSj/0nVuluKDNlbpndRVzVyJLmbSpe HGD4ZLTwueUoO9VxQrZdxuP+6q2mEc/2H+5iaBkZ3uXh74lq805jyvxu62no w/dIWzH/lfVl2T8MebcnC/lz0LelqdC//aOwp8oFYd807B2E/W/wJwX/TuPv cfxvTNyuBZ89Ol6V/LENnnnaR/DLKOLfifgP4ByT9olznIQ9p7Dnz43sqydH F1NPJInRMfDJ626b+htGFZlwc6FVVcPbYvV7ZM3saxheIO7oqieDDX0LztvY 4eEC9VzLno1qWLY3fOiYZ/iW6RvUcokpmzv8+//+3Ck39eSrber7J/7XD71Y qi7l25r5vJ3E+lMOYr8P8tojPxJ9mqnQ3wZ7zlwT9plibwT2O+HPfOK0C/5O w/+O4DEC/p1gkbsOSX5edFHw+Gj4O2GL4BWzjoJXVhqL/DhBfrTknJtyzgWx tzz27sg49t3bcbBh9gcxXl0R/yql93q1T+tuBXueWax2PX3txKE+karXpGI+ v//9f0ie+Vf+eO+ceqX7E+drb2LUlssaBCkfzqoud1J/tPU/q3bi+yTzQ1nf nv19kFcZ+VVWCn2/0d8Se1pj31UTYe9U7HfHn1j8e4i/Pp2F/8/BYzz4xF7M Xbdl/VtAncxoIeqjC3zdDb4eD+8Unid4J5n8WUr+3DcScZBaXMTB81bCn2/g d3PpuY1xpTU1hXFG8OKYOVYRalGLkHd+dWPVtXdfvV0Sf8tQ6Xi7Ct55Iw0Z xbqETe2canCr3MSxuCHR8JJvU+bXs74G+32Qdx/5mYz1wdMUfFtiXwXidiL2 H8efRYHCv4X464D/Eo8bdgKflbo+R/YX8+hDetF/HKEOLqMO3oTPz8Lnz/ML XmoML321F/k1gPx6PVHESSBx8s5c+NsWfxuNMm1ZISHF0Ipx+Kz8IzotiDAc +BhTfUvUdUPv40lDb79IUrct/DVjw4RIw3C+tzAfwPpm7LdinI18Y/Cdj357 4nYB9kXAJ9WwPwd/ZL16j7/z8P81eIwBnx26vlD2b0vp8xr0FP3dd/oPM/qL TOqogTqZQz04DN9PgLfuwnMLyb8Z5F9H4ugwcbQAPJLBI+BV+p6v3a6pnoyl Qt/2LrLjhFpns7HH1RkX1bx8D2Verr/BfinvAPINx4S+Qei/jT3fsK8m9m7C /tf4U3Ou8O8s/v6mH3sIHvu6CXwm6Ppo2R+fpY+WffVQ+rav9HHm9B9V6D+a UkedqKMNnop6MJJ6UBpeGwOvLSc/CxYX+dmMOGtInLUHr/zgVSH4Xeu7JutV G8aycmTehfUq+wci7zP5PwR9rXQ8K+vXW+pXM+xvgT+N8K83/j7H/yng4Qc+ r3T3DjlagW8t1u0D/5fI6cP5zERPBOfngB0DOd+x2LmM85c41iEejcFxGfFT GRymEl85IQKn4uBlCn6l+bZmHMj6kewPRV4KOOZHnwv6E7FnEPZ5YG9F7L+E Py8HCv+i6VMf4P8P8OgQI/B5qrunybjcSb5HdRRxW4B7RiJxnQlfLCHuW9O3 9SYvCtB/pJI3OfDjVPLqGfx4hLyTvFhhtsjL8eRna/DpCz4NiDs3vn2Yl3w6 jtEaeVuRbw4/eqG/Dfx4GPu+wI/fxgv7V+CPm6/wrxb3A3nPGg4elfoLfB7r 7rWSJxdSf5rCo+2pT9Pg2VnUr23w8BXqW/W//bSof53g8fPU66Xw/EXq5zTq gBVjS/w/iv8niKuvxFUS+fqG7wjm17Hemf0K8hozPkNfO/TPo15Pwr7e1Otk 7LflfvAd/9Lxt4wm/L8AHgbweah7B5B12593gLy8C+zgXrqMum9cWPRTn7hv Haff2kbfkEr/2Im+oib92nf6nqeMj/CvG/6VIm56ETdW5KNKPq6E55z5Hsn8 ENa/Js5nIO828j+h7wLjW/rIEdh3trCwNx77k/HnA/7NKyL8PYn/P8GjSkuB j/Pl3O8mso/sSn8+ij6zBf177y6iD21Bfy/vqXb0/wvpY12ui/uBA32uN6Ps g4OwvzZxUZ+4aEy+TSbfzsFj7eGxZtQHd74jmT/OenP2K8j7RB7I+1MhzlPF HmfGVdg7Fvsd8OcS/vXA3ymdhP+dwSMAfEbp3pnkveYE98Ud3HuGcp8M4l50 nftmAvem2txLl3GvmsiYjn2+2FedON3AuZcin0LIp0l2gqeKwLN+8H8B+L8s fUAZvt2ZL8n62/StLsgrgfxQ9I0j7rpgz2vse4m9nxnlO4E57y0OvL/kiRT+ ly8o8KjVT+DTYEjudzl5z77J+8V77uFpvG88557ekfcP60viHt9Yjuh/Cb5J nGsq5zqHfAkKzH0PmgsPxdL/7pkp+N2Md4ha1E1b+pF5fL+hrm6jHrxm/2zk nUP+avLzKPplnC3BvhLgFYj9vfCnO+Nk/C01WfifAx52jwQ+f3TvmPLdZyPv aYd5F4rjvc2WdyM7xjzIPwy+ScTpPOJ2JPmQzr28r4ngmaHwzHL4O576FR8g 6qIF/f7mj6LfuEq/kUAf95jvC/Qj96ijnekjFiJvPvLXoq8QPHfPVdgzGPvu Y2894q4ReM3Ev434u5Mxfy2BR7VpAp/3undf+Q7pwDvvT94p5RgLngfB9xTn kkDcjiT/t8AHs+GRdfBIRfh5nL3gZ0/qXgfqXkvuW3PGi37Ci3faI/Rpq2T/ y7cV86H9xPr17G+IvA7Iz0M9OCnrJfaMxb4c7L2A/S2Is5/4VwC8svFfjRR4 ODKu1L2T69/HO+nmQ3S4b9XFs0H3fh+m498/F3PXtfW6fiEjIHcfNiMhd39b 6Wfue0OO7j7WVnfPXa17P7h2Kfe7zErde9cH3Tuiyf7c77O3de/eG//hdwVP D6OlKRExTVeV3vxU61q62ZUDZYvUVpya5/d/dmxSW9cWrWfXiQ8rUNcue9Xq 4b2yn9uZNFvs8uOYr31Dh77naq/MtO/z4vGTFBMnh5m+A7fZhk1y+B3UIWDt lcC/33Jerpf7pTwpX+qT+qU9evvy1zmc0LNZoOPL9/UnrU/bHtPQw6PY+og4 x2cmN3fatk2LOZ35ynheXF5Fe3x/Yb981bUMt+KD7DZ31S7Z1xsdE9hK6zal RGmvdj2UTnVmlbOu3U/ZxLcd81tZX4/9bT4JeaORvwV9b9BfDXv0+AUxb/0x pWfQvFjHXYb2zewnpsd8Pbn6XVTCd0cv/0E9459bab1+FDzcJ/NLTOItg9Xw NkMVw9xFnz7HDlRcL29PMx/irpWf1qre9qoDtSN8ezO/jfU1TAv9Z/8v5O1A foVYoa85+i9hj/58A/HHmfWnMwfk+dYonzIuvlVgrTMVtfae1j5TbFRlXWCD SctDfLS35z+2aTx0ldZj+mTnchdmagu6dFhR4d0WpafyPWLju93KU76rTRPz MazPDBD7O/cS8pLjhPzin4S+2uhfhz36+JtpLPBvgX/Hz4r976cf3PXR01b5 PeDi294VB2tT1aDxBXNma+tujiwwsvUppdzY5qn7amYqzhfK5jXdW0otGbqq kq9aRZXfcn4Z6xu3Evv3ewl515B/Cnv90d+MeNDnx0jiZVyAOI/K+NvGW8jb mjZ+y1g/XyVncmTDQbcfKd2n1J/o0NdWDUzqWPRS9Gg1e/KLsZ2NF6tGBYpP Db2w+u+3nO/J+pJTxH7nh0LeeeztgT5r9PfCHn3+Xn8k4tukiIgfP84nHfzq IX/kLmcj3xcd1W7np3Qp+i97Dg713L3FLUYNrrd8d4lqyeqp04+e5Fl29++3 nJfrR7C/AvLcwPcy+uKLCf3fpD06fjlNPk4j3pOJp6GcVw/wkPrO5u2xJN4j Ue1dpLhLar0X6nSPtNnza2eoxY95KxN/Z/z9lvNyvdwv8Z2L/NPoW4H+YOzR 858L/BFHfiZMFfFvSXzN4/wkPlL/+bRmK36UyFCX+w/aFXE/XQ2b8dNsSNDd v99yXq6X+2U8lEf+D/StQ78T9uj5eSp81y5R8Mlq8tWJfJDxJs9T4iXtCXSd 1fp31Am1R3yLhIIXV//9lvNyvdyfhTwpPxh9SfDZGOzR14+J8HNN+G84/FKC /JX5EUn8yfOV+En7pgZ96zI0qcLfbzkv18v4lfKkfC/02aB/MPbo69sy7PcA z8P41wZ/s/4LngH/gOeK/4JnK+TPRd+UK0K/vw5Pef6liYeRxEcQ8VLuv8Rn wn+Jz4T/Ep9SfgD1YCX6J+riU+bTLvJrJvkWT/5N/f8p3yX/rkF+/gtC31v0 13TPne+Sn+zpD14YCf4yoj6ehD/N4LsR/x/5U/JvEeR5It8FfZt+i/5h8ePc /Cn53g3+r0o96EZ9OE29CKB+lEJ+j/9Sj7L+oR6Zs98JeTuQ3wV9+dHfU1eP ZP3sSz3dR329Sr1Npv5mIG8g9WMC51WS+FLJh2Lkb2u+yzI/mvUjwO838lrP EPJ70O80OCX0m5nmru+yH7lMf+JBv1KX/uUX9qbj70fq2znidyX5dpV8HQm/ 7OZ7F/PRrC/N+e5FXibyFfS1R3+yrl+S/d0f+r0+9H+NWb8TfAdzHq5FRfwu IN5D54j8HHBV8Emb6YL/WsEvFuTvaNbf/SPiry/yMpHvh74F6G/zIXf/Kfvl tvTP2dgbij+DiId1xEsx4nsb/JBkJ/jjEXy3DX5ex/cf5jeyvg/7lyMvEPmv 0VcY+ybp+vn/K/ej7F1V23Xe42Nb2jw41GnxRMcCjPLv0WcGzvvotyym/5Dd ZyY1XBWz+VqmWcP+R5uFJMRcm5x3n+Oj1KiMFqWOOT4+39lw7mJi84ThK9Z8 KnQpZta3I+tMC1yJmZZZbtbv/rEtpuR9tTnE+Ynj7bmPPmxO/uR4tcDqkaO1 ILsPhtENf54orT09VLl7ySFG2u4ztV4ueGVrH73HL098WEElbeCVGb3G2Wue R+o67VwUbW/oM6vZxDIuyvcgmz6FqzbScoZ2m1UxX2WH4KZeQ4Ief4h5f/XK vsu7mysh9WcPtnX3dqg/aMWO/H3raxsaP02pOrCNcmzusvd7Quc69OLv3a6J 9fLvnxUhZwnypZwD6A3FHql3Vpiw89pBYb+0s06s8GuYv/BX+tUdHMqBj8Sh 3AiBW9s0gafE7Rg4e4G/xPkZ51KL85LnYqM7PznK+XLI2c7+K0eyL8yZsd+x VbgYIycmBj+ucSFmSMHnF0rHJ8aYxGbsP1H7pWPBFI+a/fY8d1w9onzR6nUK abtCK5v8timsJe86buZ9KzumTOOFkZcr1lHKdrb6MmlLD23nqvO1to/2UNpn mDge2zNSu+151tjYooNS7dYgyyyzforaYkjnl417aZ+8r68+lTlJ+ZNxquys w4O0ogPF907mTW+L9fnZXwB5I5GvdRL67BoJ/eO2CnsWbBX2LcLeU3eF/XPx J08h4V8q/ir4b8aYBj4ddXEv8W/DOblyPunglYa8ArXOV/827JWjZ00x9spf weaOj7GWNWVJ74LX82kmzRdetelfSfmTmnVvVEQdJTStpVvrzQO0W3mVd29X 1dRuhjxZEGbirpUKzvZyVsdrcaHni3xI91f2/bi+qln2cM2ysOcLt3xTlM7m m62udB2ufCuxuM299QuUSnNOLzfxnqgUKim+TzFfmPXl2X8Gee+2CPkVQ4W+ pN+O/9F/A3u+pgn7ljYT9h7F/tX4k41/WYx38D8bPNaDT4e03Dwh47tLtsiD dHjDlHM6xjn1Q19N9LV+3snl0ItqSpsXYvzY1Mm6/NN22pK0deGTl7bVmist u0aGTNDuLPD37P1jnOIyNLPHkGkrteF23x+fH7JBWX9w1sPRb68rjua9i3Q0 26Pcafll1GTjAuroRa8CZ9idUy56fN8TWqiSeiHvjrzVw28ol/n2Yv4e64uw fyfy6iP/4RCh7/t8of+Wo7Cn+0Nh3y/sfYcflxnX499m/F2E/wHgYQo/ZGTn 5lXJHwfgmZg8gl8uEf+TiH/Ph+IczW3FOQ7Dnk62wp7q89OD6/4rz775i/H7 5QYh/bWlyib7hombKm5TbF8GNhxapKRaaoRnj9B12Up5v0v9hhR3U6/ubV3T uF4TNXT+zbGV9/uq6rzKvUNM3dSWTVJru3xfqQ5ZvvxR/Cmvv99yXq6X+6W8 0siX+s6i/wr2XA8U9jnNE2Nl7HfFH3fi9BdxOwv/w8CjNvy72D93HZL83A8e t4a/rzQUvOIeLHilAflxjPwI4pwXc86XsHd6orD3TocnRWt0qqjeZ2x/6+2C VZ0mqSYHm89ZcneEahVbr8fmh/vV3R7OtqNab1LXZwQMzRh8SV0fvC8uteFx 9XvJE6FZ5e+o9drvci305/Tfbzkv18v9Up4p8qW+e+hPYXwMnsnYexn7L+LP dfxrib87Q4X/n8CjPvgsOpi7bsv6t4o6abRb1MdJ8HUCfH0P3nkL77iSP8bk qzlx0JQ40PszxcyjRPq//Jfj0JsTsr//+/8BmSlLHv0LnwKdfh5eavdOzQkd f6SC8lwt+scuc9HHDLV132mX7d6++vst5+V6uV/K0+vRn5+M0zLYm0L+V8Of 0fj3GH9P4P8Q8LgLPqt0fY7sL07Thxyl/6hPHSxEHfSHz+/B56Y6XtLnlz5O 9P6e9frZeV3kh79jbK85Zfb9C6+c7HeNR/77/4m9KTDr6KL76pjAI/O3/vv/ tPEt5+V6vRz9+ejjXs8nu7DfGH/O4Z8L/mZ9EP5XBo/94LNL1xfK/q0LfZ6b g+jvfOkvDtGPPNTVyWHwfQp8r+ctff7p40iPh1e1x4uOLLn6d2y0/IjNjPAQ ddDwVwmT80SrjfnWr9Pjr49rPV/oeVjaPxx/fpsK/7bhbwz+DwOP244Cn3rX cvfRsj8+Qh99h/7Z4qPo24zp22rQf5ynH4nT1VF9PdDzmj4/9XEm8ZL4hVb5 7GWU4KWG6EY9vvq41fOBnmelfYOx9xL2J+BPPvor6e9n+tii4FENfPbp7h1y HAm+QaxbB/4Sxx+cTxo4DuL8JI76OquvF3re0+evPg71eOr/Ltfr813Po/r6 pK/7Eseh+OOPfwsthL/Z4BgCHosHC3zCdPc0GZdjyPclbUXc3vEQfPCLuDaB L44Q9z/LCj6ReaHvX/R1WF9P9Lyoz299nOrx1u+T8vT1R1/X9f2S7FsrwI/3 TYR/bvi7Hv97w4/b3QQ+p3X3WsmTS6k/QfDoWOpTBjybIusXPNyS+rYbnjbX 9YX6/kZfp/X1Rs+b+vzXx7H+PPRypT59PyTtk33sWuxfgD9P8a8K9y5v6mw8 eDwFnzyDcr8DyLpdlHeMEN4FvLmXZlD3r/8R/ZQ5fUEL7imW9D3Run47Rdc3 6vsffR3X1yM9r+r5QR/n+vPS65V9pLRvO/b2wX5//CmLfybcZ814F4gDDx/e dw4cyv1uIvvI+fTndekzd9K/vwsRfWgB7jNX6FN70/+foY81536QSZ87k1Ha L/tKE11c6PNNz2P6+qCvu/p+xlTXJ8rzlPerNMZX3Gs07G+JPzfxL5P7THP6 8BDwaAY+M3XvTPJeU553pp7ce8K4T+7jXqRx39zKvSmb+2h17lUlGEeCp0F3 zzHn3MuST5vJp2s6ntLzv+wDLurq2R0dL0t+sUC+Nfr2oX8F9kRhX3/sdWdU eCew4r3lF/7ex//avGsdB59I3bucvGf78X7RhXt4B96PrnFPb8l7zyXu8UmM n8EzHnxPca4/ONdv3LfmkC+28JAfPPSWerXBWPB7b+rmmeK5+6vW1NEhzFeg 3mWx3xd5NZF/jvclB/L1AfZswL4k7C0DfnfwJ4WxAf7G4X8X8JgIPn66d0z5 7jOb97QrvAt5895mPEm8G5lMyv1+dgD5Jzm3TZxbG/L/PvfyUO6pt3X3y/Lw d5Xvoi7W5D3xZjnRb5jSbyXTx8n3yHn0I6eoo4fY/4R6mIT87+iLyCN4bvIW YU937LuKve+x/yf+9ME/O/xtyWgAjyrnBT7Hde++8h2yI++8xWLEO2UJRi/2 3wDfcpxLI85lJ/nfiXjPv03wSE94pCz83Jn6Jd9ZA6h7PemvGk8X/YSNnejT rgwVfVob+t8CQ8R3BH3ciG5i/X72j0FeH+QPoR4EoL899nyG5/yw9yb2T8Wf kfj3Cn9n4787eHgyjtW9k+vfx91183463D118VxJxxPxOv4N1/0eEKT73eDt stx9WMD13P1twSa57w2HdPex1rp77hzd+0FP3e8pJ3XvXc6632dCdO+zi3Xv 3nP/4XeFEWdnbLscEXNi4ecS3hFdS5+c/v6YcRXF6dSNLq2HDG/rGnk78lv5 zQXqRuXN2lqpS/bzqOLmHv3eH/M9fb6s95KqKzNPX/r+K/uaiVO0W+fWY+qF TYp28W7YcumVwL/fcl6ul/ulPClf6pP6pT16+zLz30+vP7C5cndQ9KuiBnet TPDDzPGXpirGixqsqJa8Smtk5JKccTBC2bFm358vc+5pC/x+DQ9vlt+QrAVU uVf6i/a1+4EPn5sXVLdOnLasR8WSqtJDfNdlviPri7L/A/JuLBTy96PvK/ot jYQ9evxU5keNzFugS8XJyom5h38Xab1Oy5zacHnzzuHKIl+fWrtapWiTP3t0 qbEmTMvYuOXO1ufl1G27wiyWrC2jDolqYHTHwtRgU39aNdO00oZKfP/YKeYP s35aXs//7B/sJ+RdQX4Pf6EvCP2rsUd/vlPxJ5j1RZOmfbhf/6QyZpS9u2nA DS2qZ3/PQ8U+Ky4765Y/uqmaodzK6e1rNncxXO7wOs6ufGPDyd8bNq+61kk9 5ZUQW9ncQ7X5I76bMp+8Qqz/sEPsH+wm5FkhfyX6tqF/K/bo4+/7AoH/HPxr OFLsD3wzuWLW79fKnZZzZ9r1MTfcCIh4En6tqeFm6qBG1yxc1X0m1v1jTdzV sKVPzHIudVVPa5V+Jkd5qJ+XiW8L5o+zvlag2H/MUcibjPxr6NuO/uHEgz4/ LAqIeKk0R5xHV/w9qgh5F2evXG983lK1Gm2zq9jjCQZ1i3Ws99FFhpVWE+t6 HJuhNtwd9nH7xDC1aMVXv4YfPKyO5ruMtZhP2yzWfxkl9vf2E/Kske+HvgfE Q3Hs0edv79Uivn8XEvETyPkUxf/NyB95sfCfsw3XGW49tdr34tUBtf3ra7Yu rS+o9Q2+nedlx6uXjGacmWxyWu3Jd33mP7J+MvtvIs8S+dfRtzK/0H8Re/T8 MoJ8HEO85yP+9j4Q59UG/JzRV3psyds17iapcb3q1XF/GmMwi2y2InXVQ8Pp A82NT7g/NJw8Jb4DmR/H+svsN0XeYuLhA/F7HP3SHj3/5YE/lpO/Ie1F/NuZ ivhKrS7Orzn4vEb/nElvj5f5ed9QcXha1AnXOLVszYABQUVuqfX4nsa8Bev7 sP808fCG+G1Evu1F/3Ds0fNzbfgu+LTgk8vk74fFIh9cibdDmjjPPODnij32 NWb9MhguqoVuJu9f6BGuevA9iPls8C1FPFRGnjn5txd9S+CzTPhYXz9Ows+e 8F8C/LKM/O1IfjzJL+IvlfNtBH4fk4V9/iM3XmxfN8zwiu+WzO9m/UXitwry ShqE/Cj0Pakn9G/DHn196wie38DzC/4dAk8P/A8Bz08SH/BSwO8z9vXj24n5 g6x/z/7Pu4S8gouEfCf09YkW+m/p8JTn/zNGxEMJ4uM+8TmA+KlCfFYhvjTi 7SDxVwh7jMDPke8lzA9jvSv7WxKfn5E/lvg0oH+9Lj5lPk0gv46Qb7/Jv2Xk YwXyczr5akH+5qA/BbxyON+WxO855suzfhf7ZyDvEfKd4RfLTUL/KV2+S34q SX/Q65uo31/hs7PUn/c6/lyAvmISX86zEPGXyncj5uezvgv781EvViG/MvX4 zEehf9Ka3Pwp+T6W/mUk9aA69WEf9a0h9eMx9tYFj6OcXwvi15r8kPmczHxD 1r9hvw3ykpHfD31z0P/eKHc9kvVzMvVU1te71Num1N/K1Lcu1A97ziunkIiv F/NEPrw+I/L360Lx3ZL4c2R9J/DrhryOb4V82e+4TBP6Gy/KXd9lP7KZ/mQS /coQ+pdb2LsDf28QD1nEr5/MN/qjTPjlJvmbxrysb2U432Dk1cG+GPQdRv8T Xb8k+7tT9HtL6f+6s34d+D7kPOKo/zvIt5c7RH52NAg+SWsg+K/2GfH9i/4z hPX3X4n4+4288uCXJ0DoKz9K6B88OHf/Kfvlb/TzYdjbE38GEw9V6F+O0B8M IR/d4bP38G8m/Nye7y/MT2T9DPLDFXkPkV86ROgzx74Nun7+/8r96Edbv7fK Hp8I9Z7D57DlNZSyjPLvBZ3nFJnYq7U27v2e317vnLUXpe9+rNn/6MlKU8xT Ck4eoEydUKxpUv5hSsLhU9GnLiaeahxg0c1njp/WZOzY38eK+Wtu7RZez+of G5lq2DH+R4f1ivmAV1eXfw5TMrzyz+qvBUUltL3i1LHWJe381vjt1x9Gas4/ a+ya/cr29IvCBTYaf45Wthx6cepOmY+a6dSt/dcvij4ddbL/ueL7chQl4Hbj SsnPNLea1l+L5qscffRcF0efzJ1a1EiTApMuvlMcvxeMqe/uHZ1126xxwNt0 rd+plMI9+2YpYe3DrbeFzo1ex98/sF7+PfGikBPmL+RLOQHoHYs9Um997DwR KuyXdpZvJ/xKxV/pVxI4GIOPxGE/uP0CT4mbGzj7gb/E2YZzcea85LlM052f HOV8XuR8cRL7S267eXGupbcykXHRaatKyU1max3LdZ8U/3quZl1i2/Lv9sHK t4wJJolem5UTPs41lzc6oy3ysrOI2xCr+Xzbnzon/wGtXQ+7EjtPP1ImjWpi 6Rlc0BC1fM+w1u0Kqy9aeg4d3byyoWODssqd+b8Vtxmrqy4uVVLtePFA1Zk+ RQ2zE6qu/6rUUt8E5nzfdLKsYTXf+5i/z3rn+mL/fOQNQr4Z+sZ2F/pzPgp7 rLyFfRewdy/2X8GfSPyLw18//G/NWBV8u+viXuL/m3MKnCzOZz3yLiJvdlPH tMFaiBLYRIzn0zucr50Yoy2fbjLF5N1JbUrMj+mRn28oaQ5x9W1dHyuf4p8W fbjJzOAfF9ayTok07bby5GPEAhPDrneG1sWvWBn6fTrWuncnW7X+Ua/Frxwr GQYtKbxvYJaletNgFD7ibgV11YysNc9q1VS7zzia/8m96qrLTPH9inlf1ncL F/vrIm8s8qPQN8Eg9Jc5J+yZ2VLYp2BvP+yv9ET444afaxjv4v8Z8HgHPtYT c/OEjO/BY0QetCT+F30Q51StpDinM9OEvkngN7jV3ms3TO8qD1qLcVXEHb+0 0r+0ru0+TKyx/Ie2OqZtm3Vp1Q1zxp8cv7e9lbqjVcVnQ8y6G0JLvwou/a2D euLY/MKzjg8wjAvZdauvu536eJZiqJLSX72TZ+yeI+u6GNbsPnJrQPZE9V33 nHHdGnsajvDdI6+Y3z5brF8RLPa3Q54z8gegzwz9ZbCnT3th30HsXYT9VRmr gacJ+JrhfyHidgX4nBuTm1clf7h4CZ65qAl+6U787yP+UznHfGfEOa7EHouT wp4W6w/7LVhYTA1ZJcarTn61Vyzob6gXbu26wbWqwc7Jq7vTiL6Gp7ELTCxS BhvKVuhx5e6dBWr9L/tq9b7ZzrB8eE/HSjM2qMsc+87OX8hfveoX93PXu22q Tbc1X3qmL1Vf8h3I/H7Wr/8k9pshLwH5q9oIfb8PC/3p2PNkjbDPcZ0Yv4Hn WPxJwL+j+BuN/x3AoxX8a+uVuw5JfjaEwOPw99xuglfyvRO8sitG5Ece8mPD OHHOq86Ic26EvaHYa2d9v2CUzWDD+2pirNYvacFbz/XqkIuJRbW4xarrfqtF 3f79/2pGNN79Y9kRtZ7dljUXUs6p2w0+iUmvY9Qldw8k1nx3Vv3S1bfSiLln 1a18L2bemfWj2d8HeYWRP1vqsxL69zLewb552PsK+z/ijwX+mcAH6gfhfxF4 torEJzR33Zb1byR1sryxqI++Or7uAe8sbiV4x5f8CSB/hhEH3s4iDr5fEP50 xp8tE05daFhaU7cz7tnx40L3yhHq2t0PV9rVjlUHPvW1+3X2luF1hMOugHyR hgbt9h507ZhqqDsladCHM4mGGnwbmO/P+mPs34a8nciPZ5yK/iLgW5+8iMTe sdjvjT/tVOHfFPytgP8B4OFqKvCZpetzZH9xnT5kL/1HS+rgBupgCnw+Ez5v Ci+1gJdqfRb5ZUt+/Rku4sRPxh3++uKv3zeX7lPjUwxrGXf8SFhceVGEYfDU 3x2PRV43lK1TdazT0yT1c9ig+5cmRBps+O7FfDzrZ7N/LmMS8oPQF4j+jsRt e+ybC5+0xP7D+DMK/wpS/6T/8eBxCHyK6fpC2b81HyX6PKcror/bTH9xk/5i dayok08WizpZEr73g+/fwlu+8FYf8s+N/Ct8UsTRFOKoFXjU+ynwuDI4071n 12vqdsZFHa9Oz9p5QnXz8avaYsZFdS7fu5iPZUwHT0fkjUF+EHHbCv3rsGct 9m3CXuvZuevbBvqAx/QFAfivgsfmBIGPQddHy/7Ylz66yR3RP+efJ/q2efRt I+k/rOhHyvQQdVTW1XXUg4PUg+Pw2ll4bRn52YH83Eicfa0t4mwceE0Hr8Fr ZpVNKbT+79iPcS3zw1lfkjjdgryWyHdA3wb0P8OeG9hXB3ul/Z/pC17jX2X8 HYf/afSxx7hfdNDdO+Q4jnisA47XwX8Jcp4Tjw3Q40o8bsSOHM73AHZ24vzP 40d+4rENfqrEzzNwjCa+AsFJ4jkI/GQ8bmTcyfqa4NgNeVbIP0E8ShxXYc8p 7EvA3lHYv4Z4fDxd+HcWf9vjf0vwqA8+pUflvqfJuFwAP+68I+LWAj7IkvcG +FFdJOLeFT6ZQF7UzxR80428yQcf9SavpsJXM8m75fBZTfL6FPkZBD61JT7E XSm+DzJ/iPVxjGOQNwr5+9HnhP522OOKfUfgxw30rXnoY7cvFP7VhB974H8R 7l01bgp8mgbkvtdKnvSj/myARzdQn47CszOoX73g4UXUt9Hw9Fbqn+zjblCv 58Hz66ifu6kDjoxz8H8C/k8mrmoRV/Z7RL425Xsa84NYv4r9ochzZ7yMPjf0 r6Req9iXgb0J2H8NfzbhXyz+mjoK/zPBIwt8onXvALJuF+Id4xF1fTP9Unfq frGzop/K4b5lyz1huex7joh+rCN9RRD9mit9Rw3G4/jXHv92EjetiZtS5L/s F+foeM6O+basH8H+Ocjbhnwb9P3oK0Y77JmOfb25H0Ri/wD8eYR/c7jPLsZ/ U94JGhYR+NzfmvvdRPaRt3k3ec/7UAH697Pc74fR3//g3mxC/2/MfesN94QY +tyXjGOx34D9jsTF2/IiLlqTb9+HiXzzh8cWw2M3qQ9b+A5gviv5WYX9BYkz 2bd+5D4j9V/EngeMPdYKe1/Sh7eR9zP68MX4O54+vC54VKUPz+uV+51J3mvi 5H2Re48198lD3Iuqcd98wr3JmftoNPeq3YyXsO8b9sl7g+zX95JPp8innRmC p9zg2XKK4P8l8P9i6upMvlOpD2/htWHcCzsibxfy96PvMHG3FnsOch8cw322 G+ML/Ani/SIFf/uPE/63/ijwsI0V+Pjr3uXkPduU94ul3MNP8L7xg/ekAbx/ /OGdIh/3eUv0PwLfw5xrFc41g/tWHPeE8fBQGXgoaIvg92sBgt+z6QMCpoq6 2Zb+KnSa+K7NfAz1wJZ6VxF5M5Bflfz0IF/LYs9J7OsEXtHYPw1/JjAa8LcT 7xRvwKN0oMCn78Tc75jy3Wco72kmvGv24r0tinejq4wq8pPBN4t3oI3E7RHy YRz5MEsTPFMVnhkFfyfJe9JhURf7zxR1cWO86Dci6DfGzBR9nOxj550V81up o43pI5Ygbxzy16JvU7zQ//21sOca9nUlzqKJu83glc9W+DcjWvjrz5gCHrfA x/hD7ndf+Q7pwDtvSd4pTRnd2P+Zd7c1nEs34taI/LeHDzzgkVrwSBbvHWWo X37UvUDqXt56op+Y9V30E6mXRJ/WL0X0aYO5D6h3xfcj+riy9GfG9GdjkBck 3wWKCn0W1Ac77PHBvhzsvYr9DYiz/OWFfyvBax/++4PHbMZE3Tu5/n28l25+ ku69/bnuXT5pTG6ecNLxby/d7wFTdP3Czrm5+zCbMbn721KRue8Np0blvo/5 +ue+5/rq3g8ydL+ndNe9d9XX/T6zUPc+e0b37n33H35XWK0GpCcdi2m61qft 8v2dSzdLz5s/qmFLp+aL32SWiHdybfEtut7yJ/nq2u2+1PuExdfndt4m5V5+ POJrn+/33an9l2faV695783zQk4OT8p5hDXeNcnh05Itm4MuB/79lvNyvdwv 5Un5Up/UL+3R23ey/fNZH6zXOJZ7dOHoqatHY9ZMSj3osC/ZseCLHP+XNu9j LKdmfZ13tqSSnTa62/pHTbVLC64Gz5zqpaWWL22oMqGbVmxhU++0hoOU/FvU 8x2MxigD+FaZ92F9X/bvRF515JebLPQNRP977NHjt++hmA9p2TR/1rTrjls3 rKtWfERmjFGoZcHax00Vvw5l7YumNdH8/vz8GFI7n1bQNXr1SNspimNi1MI6 ByYoZp9LrGjoNVTz3l/28NnSE7QTfMddFvOPO4j1FYv/+s/+Qq5CXnvkV9ko 9GWiPwd79Od7C/wU1tu0c2jSu46ZsufGJJPNh+ppRtNrtfWz76r4Zk7paTTZ T8veufzUwj7btffOLYt2qr1MK9rg/FS/yH1KsM8zo4bfjyuj+b7iJOYTWP/s o9j/FXl3kb8LfYHoNwVfffyNeCbwbxMi/Ht0Texff7L8bytXF6XFLtthzctP 0sYd+eDoMGyFdiVwb6E7684oDe4MbPQhPFMZ1r7HZeu4UuqAdqPaN+lRRR3K dy3mz7G+brjYH4+8p8i/el3ou4b+Gs+FPfr8SCFednMe3/A3dLeQV31zQnzv avMV3+B96y8sSlHsCyoufqa2qtrjd//iZ0ergeYn5vuVXKzu8fR79Txp9d/v Vsw7sv4A+zcjbxzy288Q+sLQ/1Dao8vfhFQR3wMsRPzU4Hya4P8n5Fdb1/OX /faOamrZTTbnrqxWr9w3tRvQO0Y17ru1TVmrZLVOiTvTDyy7+/f7MvNyvdx/ G3kDkT8UfQvR/xR79PwykHycRbyfJ57ac14tweMB+mY4WFW50TtRfe09o8fM ei/U3WXqFvxaM0OdfWnT7Wc/M9RdfMt5uV7aK+UtRf459B1D/1js0fNfPfjj F/nZnPhvSHy15vwSwUfq97aPK7a5eIZ6b477mPoP0tWsVRXaTVhxV03heyDz cr3cL+OlCfJ3oq8V/NEfe/T8bA3fbYRPSpGvQ8gHGW/yPCVe0p5nb1/1Km44 oQY3+lQ68urqv99yXuIt989DnpSfVV/oc0S/Efbo68fLzYKfTeC/IPhF5q/M Dxl/8nwlfluw73KDS5teupj//Zbzcr3cL+VJ+dPRZ4T+ROzR17ffC4T9RfDn Xf3/GZ7yvJ+C3xYdnnJ+lw5PKc8b+YvRZ/1F6E9akBtPef4jiIdSxMeV/2V8 pvxDfHrp4vOKLj5tkb+ZerEI/Vd18fm3PyC/NpBvMv9mko8O5GfqP+S7xMv3 f5jvdshLQn7JXUJfbeqx6cLc+S75qTv9wcjCgr9uwmfHqT9R/8Cfif9L/qzK /oPI64N8Y+rxl/xC//q03Pwp+X4P/O9MPbhMPTKmXqylfkQg3+Ef6lGYrh6p unp0kv1jkFcB+ebUoz7oP62rR7J+9qCe3qS+fqLe7qf+VkVeL+rHKs6rCvHV n3zoR/566eq75HM38FORN+CUkH+WfuQ6/dPAF7nru+xHytOfDKZfWUH/Mpb9 w/E3iXi4Tfz2J98Kwbfz4Jc35O8x5q+xPoP9sp5vQf5t9K1Gfw9dvyT7u1r0 p9/p/6qzPgt8x3Ae+0qK+Ekg31yoX/e+Cj5JgP/ewS8JzEewflQBsd8febPA bwv6PB2F/hWPcvefsl++Q/9ch/k79KPBxMMl4qUu8R0IP2SWE/zRkfrxC362 5FuBX/xYP4X96cjLQX4f8PNFv9Ihdz//f+V+lPzV53ntXT62J88khy6bHuC4 mlH+vfKFpl7TRwTH3Aqr6ty02vaYLh9G/RrR92izIcXVoqM/RjpejdqSZ0ih OMdtdzasfJeQ2NyuTYfl1t9TYtxezBx0J+NBzMhy1+Z37xfbovW9Vck/W39y nLe+cX7fK/mUiEt9H3lFB9n5xL3sNWejtdYl1H6wuVdprf3lzpHtX9jaD9xU YnXS+7JKjVtG7ZI9XbVNmv3uG/Oj7as2NBtcO7+7YnnPJexx4dbasU67kjJ+ WzqY7/t0vdeUPNr4BTujrq9qp9RZO9FtcU9vh/nhPdo79XPUuk8eZevSpYdi 33lV7y/Bcx3i+fsr1su/9zkq5GxOEfKlHFP0Prkp7JF6TTYKO8uFCPulneH4 VWiD8Ff6FQgOAeAjcdDArdNpgafELRmczfcI/CXOCzmXG5yXPJf8MbnPT45y fgHnaMT+ozkPZi8ddtqxyXcxmhrG/oq1uBsTPulPfIETD2Iut2h2q0DlbMeE IwPOeW366vjdo19fx7LmWsu8Q3KG2lTQLm9Y+y3xRQHteWrFbhk5dkrI+HZn 0gIGaR2/Zc0p4zFMSburjdm5Yoa2YkbCrQ+/eilWPQ+fWJo9WvHOs+Ri1XIj tJolXo4YdD9Q6VwuY3X4xolaa76vMl/WTaw/PF3sD0VeaeQr6MuH/qKrhT15 8wn7OnkKe39hfy874c+wycK/qfgbhv8WjP3AJ0MX9xJ/G84pqxjng7zmyLto 1ShxWL9vjlUZ35je3dB8uIVW2S6xzcMEM21i9PvezqPrK1W/hZc9d8ReuT/2 zxiPKT7akk8ndlW+21xzy3uv4eC7Q7QSYXcGj2s2V3sxwE5tunOVkj4sNnH/ y2nakVbu068kzVWa/3l1zMx0mnIg51m1a4VWKlEfrBZbVgxQjvB9gXk31jdi /wPkfdgt5C9F37wMob+Ej7DnNfYlY29X7O9XWPhzHv9qWYsxCP/ngUcf4nfm 6dw8IeO7+HORByrxH35YnNMUzmlWC6HvEPiFnK2xb+yjxsqhODE2Sr5y2uea p7buxAIzizUe2v3wBekHD/lrD1uEjTpxYo7S6WStjHN1w7SsJy/GLu0UppQL rbY0fFWiktPT2uOP40FlQqXDVlVHFVCvFHV+Pqr8WcUwq9mLk4GV1JycuHMb d11V4vg+yvxU1q9nvwPyYpD/OELoM0P/NOzpGiHsC8TeW9hfh7EjeD7B39P4 X5O4DQGf589z86rkj1HwzLQUwS/jif/H5OvGHHGOHlHiHJdgTyj2vLfpWdl9 /SilbT0xXppnWqdmw+3ao0PnI5qEBSsLd0c2DH1UQjVJVbeUWZ2l7FRb7CtV zU299rFr4+Y1m6jNXv76cea4r1o5YnTNFRZuaveYup4xv1aqS3dOqL7+qtff b0vm5Xq5fxfyiiJ/MfoCDgv9adhzvb6wbxP2Xsf+pfjjf1r4txx/65L/S8Hj JfjM2ZC7Dkl+bhMseHwP/N34geCVpOWCV/q+F/mRTb66NBfnXIlz/oy9y7B3 0vmfu6cWraj6Mi62brTmlPsktXpR61nln4xQf4QcKLTh6X71fcew9Y/bbVKv lb9wtuSwS+ppp4XX3jU5rg4JWTk6vcId9eKAY+HB+aL/fst5uV7ul/KkfKlv BvqnMaZg31PsbYb9s/HHkvz/gr/D8N8VPM6Bz4Lg3HVb1r891MmN60R9/Jot +Lo+fH0M3rmfT/BOFPnzlvyxIA7mEQd6f0wjvOZ+/Zf/cgx0vd9ufrNUdd2A usrxf+GzYFWBo7NavFMnLt36+4rjc7X4kvJNy2ZkqO0qLy8x782rv99yXq6X +6U8vR79+S3APjPsvYn9h/GnI/7dwN8asl5Rv8LWC3zO38zd58j+Yh99yGsb 0X/soA4GUAe94PNr8PlceKkzvCTzS+arPk70/gZG2F7vdurD3/HmrsL+g96+ Ut19NpVaXuG9+nt6RWO7JffVZUunj+76r7/Lbzkv1+vl6M9HH/d6PumJ/evw 5y3+HcFf6f8P8ChEf5aekrsvlP3bbvq8YYdFfzeP/iKJfmQ+dXI2dfIcfD8Z vq+i4y19/unjSI9HjYMTqjwLuvp3nPPzcc8PkSFq+1pu8dMKRP/91q/T46+P az1fNMc+ybPS/mv4cxb/Wkt/8b8reHTcL/CZquujZX9cjz7ajf65BX1bFfq2 WfQfB+k/ZB2NpY4uoR70oB7oeU2fn/o40+M1xfJHq3KvvdTJulGPrz5u9Xyg 51lZr6S9Gvabfhf+HMa/Cfhrgv+VwKMj+Fjq7h1y9AJfc9a5gr8Fcmw4nxPo ucH5SRxlnZU46uuFnvf0+Svjyw+cJF56/PRxqc93PY/q65O+7p/B/hf40wv/ 1uJvenHhfwXwOAU+U3T3NBmXF8l3I+5/WfBBO+J6DnxxlLg/qOv7JN/IvNHX YX090fOiPr/1carHW79PytPXH31dl7xzFXt9sP85/jxWhX/lhwt/L/cQ/m/m 3rXziMCn1b3c91rJkyeoPzeoM0bUp+nw7AXq1xl42EB96wJPl9X1hda6/kZf p/X1Rs+b+vzXx7H+PPRypT59PyTtM8VeM+wv91T4U8lL+FeFe9cX/J8EHu7U Gddbud8BZN225x3gyAZR14tyLx1F3a/4UfRTp7lvVeeeUI57ykT6MdlXTNP1 jfr+R1/H9fVIz6t6ftDHuf689HplHyntM8FeN+wfjD978G9ApvB3Nf67g8dF 3k0ydO8mso9sQn++lz6zEv17g1WiDzWnv89Dn9qO/n8AfezMBuJ+cII+9wvj LJ39Mi526Pqj5ro6r69X3XW820zHH1KelL8IfRK/y9hzjzEee9tgf3/8qYp/ A/D3rezDwSMWfLrq3pnkveYF98VCvDt14z5Zg3vRD+6bd7g3deM+uoF71WzG ndg3DPu2c+4lOfcS5FNV8ukGPCV5trKO/2VdjdHVs3E6Xm6DvJJSPvos0F8D e/JyH8x7U9hrzHgbf/bwfjGV94sI/K8SLvDYBj4FXuZ+l5P37JG8XxziHh7A +8Z+7ulFef9w4R7fi9EX/e3Qv5Nzrc25fue+VZJ7wmV49QQ8OwJ+91AEvxuo mz+/ibr5h/7qC9/yHWMl9WA5+w8i7yzyu5KfLcjXstizAvu2Yu8N7N+GP2sY 3fH3Lf7fBg8TJ4HPAd07pnz3ycc75grehTx5b/Pn3WgRo3xXGoT8QpxbQ86t PfnweYXIBzverdzhmcfUq1Pw99Khoi4W4D3xZp7X/+k3suk3Xuv6OIV5Z/oI a/qIxchLQf4s9LWH5w4FCXtGYt8q7B2C/T/xpwf45eCvUawYP4FHqRICHx/d u698h0zh3bcv75Q9GIeyfy34NuZc5hK3s8n/8sT7AHgkCh6J5X5/gPplTt37 SF9gT39V8qLoJ27Qpz07Sh9L/1vimPhex/zNCLE+nP2pyCuK/PvUg3qpud8X ZmCfL/amYH9h4kzGXQHweon/WeDxkrFVTO53cv37+AvdO3o5He4tdPHsqHu/ 99Txb1ldXbuv+92gvu73hUELc/e3g3X3hm+6+9hq3T33lu79YFdI7neZIbr3 rpW632f2695nu+/J/e7t+A+/K/A70gl+VzrJ70yn+N0pkt+hovhdKorfqU7z u9VpfseK5netaH7n+vst5+V6uV/Kk/KlPqlf2qO3r/a3qL2LmjVXLAuUeB2y 2V17XDH9leWBqUrdth8+3D25SvthHD3XY3+EYjjzsHCtuve03s88KvwyzW/Y G3iwsevLz1o+t7U73ucpqPa/FLXOJaOE2pvvRQFivhbr/0SL/Q9NhLzpyH9Z SeiLQ38K9ujx+2Mk5tvM6P1n2q9JyqrtH/uWr7VOW/ctf5HAZuGKR7Uv49rV TdEsJwUl1V+7VQssuubR9YRy6mjfQOPJXmXUjFLnnriamhpSw/unN4subRhe Vny/nC3m3VjfYqfYb2Yl5IUg326H0DcP/VOwV3++VfDnDva1qG31pmKFk8qW pLO+tuNvaOZO4VVLVPysXLn9arf7sGqGfg+cv3Uu6WKonpmqdP/eyJDaaUCl 7ts7qSUfW2baf3JXTTqL79gMMV+Z9aPZX8pZyMt/Vch3rSP0LcfeL9ijj79L LgL/NvhXA/se+R516J32Wikfcj/jq4u5YZ+vr+3zwKaGn89mttiU3UEtdfDx ZKdHbuqVfSYl1fdd1UWVg/z2ffBQn4WJ7+rMp7K+q5/YH4W8j8g/iL5h6Lch HvT5MZ14yeJ8x4FfBvIWley1aEVgZXWW07epX85PMKzPCqyStXGR4U2if2aD pBmqw6JJSyePC1OPm/b0Kxl2WLXlOztJzHdjvQv7+5QW8sqECvl24OtHPNia Cnv0+Xub+I7eIuKnI+eTF/8rIt8y+5axZr7OcOX5UocJzw+olnXaW69yuKDG 2u8xqfUlXn0QFX0ku8BpdRffFZn/zXoX9teW9iJfQd+5CKF/Pfbo+aUz+TiA eG9PPJ3kvOaChxf6Jhh3aRGUmKQGhh5vfvVZjGH9rfAOtZY8NJSa5P7heZeH hpl8d2L+DOvvsV/iG4f8Gujrgf562KPnPxV+GU/+Lvwo4n8c8dWF8/tZW+Dz Gf0JH6osG/D1vmGqT6Gr353i1HmGTFfzgrfUHL7vM387RKy3Bt9E5P06IOTf Jt8eww+r4DM9P/eD746WEXxiQb7+3CPyYQDxpnCeu8HLc5ywx/nl1e+7oi+q k9pF3K/nGa7O4Ps29o5j/Rb2y/i9j/z86FuC/o7Yo68fO+DnuKOC/7rDL4ct Rf5+JT/eRIr4+zpRnO9i8HPCvmbODjXjzcIMc/hewXxx4sHktNi/DHnB8MOD R0LfAPi3Afbo69tj7G9oIfyZhX/qbuHvCPyvAR6nwCccvPqC3zjsG8d3DPOD Wb+D/bWRl2+vkB8P/1qDZ2kdnvL8n/qLeBhNfBQmXmKIH7NrIp7yEV/ZxJua IeJvLvZMAr+vfP8mPluH5o7PPMTnUOJ/DPkwjPywCswdnzKfZP0tTr7VJv/q kY8jyc8h5Os48rco+reCl8L5vuLbn/nlrL/G/rPIa/ZcyPdH3yX0z9flu+Sn YvQXL5YI/hoBn8VTfyTfVYf/zqAvk/xvz3mWhT+n8l0Y/NZLvmW/F/JWID8c fWWnC/1rzuTmT8n35eH/MOqBEfVhAvViQClRP+Yifyp43OT8GhFvgeRHY77f MN9L4sf+Q2ZC3jbq3SHq303q4QqT3PVI1k8n6uld6utW6m2Kn6i/vshbh/8n iIfixO/gnfBXJZG/7tT3TsyXZH0C+yvh/xrk/0DfG/Tv1tV32Y/cpz8x0K/k 0C950M8cx990zkchnqaTbwr88A5+MeV7LvPFWT+c/anIk/3He/RZon+Xrl+S /d1++r0c+r8mrK+RI/x7znncGyXiZwjxXgB+sC0n+KTaMcF/0fSfzsz/KiLW j1kq9nsSX+fAbwr6bqD/pq7/lP1yGv3zZ+aD8ecx+Mt4SSa+W5GPJahvcfCd N/w8mG8r5kuxvhT7ryDPAfmH0DcK/Yd0/fz/lfsR97mI0l/vLzkwtIZizSj/ /rTFnPzPWrbWWp1bcnTKJWeNe+HJGmMfNVBdBygjTt+cGPdiqML98VTI3cDn i/r7aRE9U6zivszVuGdG+nlN2zfOab2yd+3Fw37PwuR9NMrpZT7zuCcXtakP o25vT46U99bTHt8mlWy17YzyOmZ7kYqfMuT99nTpMeUmdp2do1zqsO26Z+gz eQ+OvqXGrO/tE6YZNTSOXL7hnbwvR19Oa9014126tvBSB+8G9bPkvTp60EPx 9y+sl38/6Sbk/Gwv5Es5Um8w9ki9oVnCzuepwn5p5zH8Gr9O+Cv9KuotcHgM PhKHmBSBm220wFPiVsFH4HwQ/CXOE+zEuYRzXvJcrujOT45yvhxy7nGuYUsL 1XAp5K1EMx669irMtuRszf3nqE0ud+dqn19ubx5bJVg5ZzMqfLnjZiX/kPEF P+Q5o8VaZDl9XB+rLXlx9/WXrmHajsfnL4QOfaRYFLuU09a7oKHpODNDkFlh Ncalzl6/n5aGzN6eHT+7/Fb2VxnZav2nEmpw01ldx9kUNdzLvpT4pGAt9XuD 1sM6+pc1POC7nq2Y71NVrO/TS+zvjLz3PkL+7qJC38RHQr/tQ2HPxHLCvp7Y W7+hsD/qlfDH5Jfwz+K68Lf6MuH/G3DoC74rdHEv8V9L3FciD2aC1wnw2/Ax NWjcrhClP+Oz592XjIiM0aq1+TTQ5uZJ7UmDcRvvGiUrHpY/izs5PVaCXYp8 OTDGzLDMOibpQWSaVuf89B1FPxkbjNr+qf4swsrQstV7p031bdU437KexfJU MlRt06BC8U2W6qAoj887YyuoD5JVj+MWNVXfLOfg3aerqwX4fnVazEeoYn3a bLF/IvLSXIT8OegrUkXov4k9L7FviY2w1w37i70U/vTIFP7tYZR4WoHvdfAZ HZ2bJ2R8dyIPTsMbtsRZPc7pcGuhLwX83hYscaFozh1leCExOj9s0G3+k59a A7PXlwO3/tB2Vl4yKc63uuHmxuVH95W3UkfVMlmcmt3NUG7VonS7Gx3Upu/N Wk5YNsCQv/64eyUb2KnLvb2TAy70V902u7SaMayLwTN5dHCT1xPVegV7ZjkU 9jR05PsA844DxfpedcX+ee+EvFsrhfx66OuE/nLYM62UsM8Xe99g/1zG8uD5 E3/f4v9+8LgGPxzQ8arkj8bwTHF4tgbx/3iwiP94zrEncXcTvBZjz/spr4p/ jC6mhkwSo2Onx85VB/c37De7/avZ2qqGQe/dH95w7mtYNS7uhuu5wYatN88c Tby4QO3Qe8rxDJd2hrFtX7qWnblBTZrdVg018ledjr43KvNlmxpbyuKs/d2l qg3fRr5i3oP153uJ/VnIm4J8O/TdKSH098WeXdi5aKoYD2H/PPC1Ik4rVhb+ 1iT/T4CHBj7p63LXIcnPT+DxPvB3f3gl47Hglf7kx3byw0Z3zi+xtyT2Lim7 NzS9zGDDujJitB60L9XVbb2q3kj3eHR1sRrcO/PEtt6Rarf2U17dX35ETVmY b9zaO+fUZibfPrx4GaM26Nhqe6NXZ1XL4IcN4/zOqvX4bsz8S9Zbsv808soi fxr6/qC/Hva4YV8H7H1jKeyvgD938e+LpfDX/oHw/8VDgcdV8OmTmrtuy/oX T52c8FXUx3LUg6Pw9Wt4p9YFwTvG5Kc9+eNJHDwiDi5cF/50x5+UCj0fVyil qbcYn/lYjBpmHqGu9T7U+511rFqtVfqtwoZbhhevbersNYo0GAVXPl2vXaph zolrw19GJhoK8v2S+Vqs38P+x8i7i/yPjHPQn4k9w7BvBPZWw/6b8EE+/LuP v8vw/wP1KwF8tur6HNlfbKTPqU//MYo6uoc6uJt6MAs+96oneOk7vNSe/Ioj vxLbiTg5T5zMxd9N+Gt45r2kV2yK4RNjefOl39YsjTB4d13qnHPyusF48hDv OalJqtXIujXqTow01ODbnfnGrE9l/3nGdORvR9919Bcnbl9gX3fs3Y39HvDs GPxLpH4Nxf8J9AXlwOdr+9x9oezfEunz0tuK/q4q/cUf+pGp1Mk5rUWdvAbf /6E+1IK3esJbL4xF/v0i/8zfiDhyIY7qgscb8Ei++qS8fadr6gnG6Uuql96w 54S6y+lWk4rTL6p7+N7DvMY4hP3tkWeP/F3EbRb6a8IHntj3Bh6eSL3ahz+n 6AP6SX/prwqAxwgPgc9hXR8t++OCl0UffZb+eYiN6NvMv4m+rUS26D+e3RD9 RxB1dAJ1tGFpUQ8qUg/ebhG81gteiyI/LcnPTSNEnD2dJOLsGnitAy/rK2/q mxutV8szDmUMYD6K9cWI0zzEbUnkB6LPEf3m8GwL7NtP/WqB/RkFhD8n6K9K 0W8do2+Noo89xr2jpe7eIcfXjQS+3R+Jde/AvwE4VjsjzqcGOA7dIs5P4uhN PBbBztfEY2/8+EN81MbPtsTPQ3A8SXz5gtN8xhbgt4HvRYz7WV8BHPsgT/Lq HfS1RH9D4tEe+54Sj3WwfzjxeBMcP9HHrgPHaO4Hk8Gxl+6eJuOyH/keM1DE 7URPwQfPiOsy8IWnIuJ+Zh3BJwnkxQV3wTc1yJt4+LHwIpFXY+ErJ/LuCXx2 j7z0Y1wKPqXB5zBxZ8q3xG8g670YbyCvLvIPou8ded0AfpR5fZd+qyr2V4Pv f5HXC6kHzfC/A/XiTHeBT0CH3PdayZMzqT+3RgsefU19qgPPHqd+OcLDD6hv PvC0FfUvBh4/SH18Cc/fp34+pQ7sY3yI/+3wfxBxZUFceevy1UfHg+ns15B3 klHW663oH0M/9Ar7wrC3AfeBzvQfu/CvAfeue/g/nv5lBHWmgZb7HUDW7SFp oh/qki3q+kn6xxzqvnE10U95c9/qS7/lSd8wrKToxw7QV3jRr3Wj76jI+AT/ wvEvjLh5S9ykk4/Vyccz8FwNvjtTrz6zfib7ryEvHfnu6KvEeJk+cjH2neF+ MA37I/CnFf5dsxL+luddYBTvBO143+n9MPe7iewjn9KfX6TP3EX/vv+e6EMb 0t9fp08Npv+Poo/tPE3cDxT63BGM/thfBPtln7yTuDAm3766iHwrDY+9Dxc8 ZkZ9MIXXyjFvQ37mYf8O5N0jD3qirzbn2Qx7VEZz7jVVuUekcj/T8E/e394/ Ev43B4+l4NNK984k7zVPuC+mcO95w31yH/eiQO7zVbg3beQ+2viRuFd95H71 ZLKwrxP2XeXcZ3DuY8mn8/DBcXi1EjzVnnplAf8b0wcU4bsk8w1ZH+sh9s9H ngPy26LvJXlyl/PuyX0wP3Y/k/da/PHGPz/8XYL/M3gXqsq7nLVb7nc5ec+e xvtFNPfw0rxv9H8t7uk3eP9IfCHu8ZmMXsZC/230f+Zcr3Ku78iX/gkiX7Lg 1YrwUBL1KsJB8HtN+gDfa6JuVqa/KkufEEtdbUy9e87+LFXIi0K+G/npif4Y 7HEkj/Jhbzj4HcKfY4y18Xc77xQPeP/yl/jo3jHlu89d3tOe8C5kxbtbPO9G Oxml/CTkZ3FuqZxbOPlwh3xwrS54pj4885x6NRD+Pj1L1MVt1MVt9FfJ9Bt1 6Vs38V0qWsz7sf47+yshbwfyk+H1b1WF/sqpwp7C8JOMsx7Y/xF/fPDPC39d GW3BozTvvo90777yHfId77xjeKccx+jB/i7sf8a5hHIuCcT7QOK9BTyyER45 Dz+bfRf8bErde0JfsJH+qo+P6CdS6FuLPBZ9WhnuAxu4H7RmvuEAsf4o+8OR l0CfYUe9DKFebsaeMdh3Af56B39NwZ90/NtLPOXwftsWPFwYV+reyfXv4zd0 8yUScuNeThfPA3U84ajj3/O6uhar+92gg+73BbPGufvb+7p7Q7FGue9jY3X3 3AG694OhabnfZQJ1713Xde+ITXXvsyt1794R//C7QqmQQlOjDsY0HbXytX9A h9LNTI2S97Zq4dR8c6EbmwYpri0Wr7qQ1edXHbspt8xzNn18bhfy6kDJtH2+ 9juuhw9JWJJpH9C11oo8Rk4ORxZ6d6y/bZKD5dmlQ+eeD/z7LeflerlfypPy pT6pX9qjt2/lwPyZU/LtdLy5v0lkh6NnY+bs/zX0wMonjn07vfN4n/9XTM3z jwbaGKoqG3+b/ozY4qxtDMrqUq/hOG1J8MGXwzt5a7/Kd4oLNpqoXCg8cWBy 9CylcwXxbcJ8R9a3Yf8K5J1Ffg76ah0Q+q9jjx6/IOyraek+obTXY0ebFbUu pPbMq3V55zlyy/LyyrHT1VqfT3TSFqWt7dp5ookW+nnDeK3CfGVe9I+Lo+f6 K1G2ty1f95yiGWocLZ3n+1ytUzPxXY75haxfniH2m0cLeYeQvxJ949B/A3v0 5xuBP8Gs3zun4KwKFaop6udSs66ubKl9G/qu0r6uXsqAjg3PXqm6XPO/X+KR j3JUO781OyH9eLCW+ryNc1pApJLH4bN26U2c0vKF+E4LFfM9WJ+H/eeGCXlb kV9+rtD3Gv1fsUcff/YdBf5n3wr/fmeK/fkiWh6zsHFX6i0wtPtYJFBrP3OK z6sq27QaE/dke62LV6r49drcNvaTEnndUPtIVin1Xfn8myynV1FP8V2W+aas n8v+lcgbhPzwT0KfA/imYI8+P44TL2s4jwj8bbFQyMujtDhlWn+V8mfotg6L K5xTMpdNvJUxsqnqVXRK64OJo9WSQY2eplotVrcfXv1r/P3Vf7/l/FfWzxom 9g9EXk3klxwu9O1GfxL26PP38C8R3w3yrftP/PR2FeezGv/HDxfyjWzPuO81 76hGlrn6yCZltRoYdeLDo0ExqluZYd+rVE9Wrw0uMDDP8rt/vwOYl+vl/grI W4j8IPRV/S3iNxl79PxiTz7aEO/dZPxNEOf1GTykPmPLRYmvvBJVY39zr5N1 X6h79ga1uW2doR45W61wYk7G3285L9fL/V+Q9x35ndHXG/0q9uj57+MW+IP8 dCb+axBf8vwkPlL/obejS6YUyVAvWJSaWTE1Xc3+tTJ68Zq7f7/lvFwv8R+A vPLI90FfbfS/wR49PzeE7/bBJ7/I3+PkgxnxJs9T4iXt0eY/L2Zz6YS60XZY QIXU1X+/5bxcL/fL+D2J/NLww1z0N8Meff14Bz+nw3/F4Jf35K/MDxl/8nwl fpuwb/KBDJ+xS4v8/Zbzcr3cL+VJfnhjL/TtR/8h7NHXt3rYvx9/ssDzGP6W /C94xvwDnhf/C55HkD8ffbHof1g+N57y/DOJh5rEh4yXiv8lPg/+l/g8+A/x KeXVQf4A6sUe9I8Ozh2fMp9cyC9X8s2D/HtLPn76H+Z7+P8w398jzwb+D0Hf JfTf1+W75Cd7+oNizwR/ZcJnjeG3M/BzAR1/BvwX/vTX8afcPwp52TOEfIV6 mpks9K/5nZs/Jd+Hw/8TqQeJ1KOv1LdZ1I/Jw/539Ujyj+TfcPY3Qt475D9G nw/6D+vqkayftvRXS6ivv6m3s6m/L5A3CnyziIc8xNce8uE1+XuQ7xLMf2J9 CfYbUy9LnBTyt9GP9Hov9BfvnLu+y36k9AHRn2TSr1jQv/izvwX1twznM4h4 qku+5ZCvf+CXPPChwrw7643Y/wP8ViLfHn1GK4X+Ogdy90uyvytHf7qb/u8U 9kaD7xzOY8xrET+jiPfpp0V+fmkh+GRrTcF/pnzfY96T9aMfiP2LkVcJ/Eyx 7zX6Bx/I3X/KfjmF/rka8/fp/5YRD/HEi+zH+5GPm+Gz3vBvJvzsync8851Y 78b+i8g7h/xm4OeB/kqDcvfz/1fuR6l33pV4FuJj+2lG3kcjPVc7vmKUfy9c brXbE4eDMWVcEjP+FDgaM6TZkd4PPI82WzLW+9K2qxcda5aI65eaccOx3eNj hR1jE5t7fFu5b9/DVzF5DMeOFj7/NqZt+Pny33rFtqhxKcdmSct8yqv0afWb xZop8w9FH+sQEWTnE7xxSYx3U21F63FXnN2ttX0F3Aokpdva3zf3DBwxvaZS eW5E8PjafTTlz1vVZm60fZuR159aPBqiZHeoNcj2STctyPTz4A3fLB2eXR3v uHSSmRZ/LNlq1ChP5VTDvRGNunk7DLm8smvrAZ0198bdz1aqPUh5ZFHleNCm uQ6f+Xvz42K9/HunW0LOYuRLOfXQ+3aOsEfqHYedKa2E/dLOvfjV8YnwV/oV CA7e4CNxuA5uy8BT4mbsI3DuDf4SZz/OxWqmOC95Lp1n5j4/Ocr5+85CTo6F 2H8jeMW7H60uO1YPEePGsiPMEn++iGlla1Sq0Pq3MTZ5Dk+LNymk1G2W3fC8 bwElTx+TDQ0zamjnXC7Pv1K/rtY7oW3UViszLb/l0U5pER2UGOebJ3f0mKgV v97m1N66U5UGt8bdq+29WHs57EOzsZdHKAOW1l/QJW6W0qxus4HDXkzTosJn OhQ+tEbxeTgq+vLYAO0x3zuZr7xMrK/F/g//jzrzDKrqWdq9YkRRMScMKGLO IAiyljmgYsKAopgjGFHMCXMEBXPWP2YREwKyNgYUcxZERTGBCcwJ1HvqzG+s Yt576tyq++n9NLX2zHQ/3dP9dM/s20Le4+tC/mT0zSsn9CfECDwjWwt87uBd DP4t2PMM+75g79bNWf3QG//aK3Ev/T+Ec3IlD5Yh7wTybIs6Bni0yaudLCJG xztF/D70rGbUNrI73g+rZOzYvXjUggUuWvDVq8lTd7lq/u/SW0fWmmk0OdL8 48B+bY3dZh9+mQ/xNWZX6R8cYhNgjK8+pGDvcdu1qF8Tq0ZGLjSaJp5fXbzu cm2CZXgxv/sLNNt1vZadmbReWxW/8UW/lECtEN/fmU+9L9ZXZ/9w5I1Afj/0 DTss9B8Bj/01ga/hHoF3NPh3YU8L7FzPmLuksD9XI+GPPfjnpMITMr4LGyIP PIj/4fbinPZwTiejhb4C6HvccGqa5c3m2hY7MTp4HMw/evcwo0eoazPb7UON IxPuT7KfHmjMWJ9wtnPvldrCFlFl8r88aRQbvqFP3r3HNbcg5z8vXAxt5q9t VRO0o9ppl9rxibVy65cmOtpb3D2uZT+pud2bWl5fP/nh75iWsVpOvnszf5H1 1dmfirykYUJ+VfRlrhP6B4HnNfgWgfcl+DsxBmFfQfybif0X8Uck/okzsvKq 5I9geGZ1nOCXUOL/i4eI/1DOsVKIOMcShwWeZeB5uOpj7fhvU7RiAWLMuexZ 3TWtYwznvoX65XcP1u4HPrsetcBSL2iX8PzP8s/ak1d2szq3cdcdPW/7vy7X UH9a8p/2P87P0K23LM/nY+eue29dUedIzkB9cqeFIytlev39lvNyvRP7pbzC yH+Evuz9hP4C4GkbKPBdBO9F8JfHnkLkVSz22pP/L/DHD/wT+TRrHZL8/FMX PL4G/o6wErzS0xC80veQyI8g8qMp51yOc04F78ulAq/7uwjvwoFl9YGMNq27 uf8ZNkEPClti2e7bcL3c4GzmAe/26YM73Jp6zX293maC5/XuIy/q3xtO72Hh dFQ/0St01Ily9/Qiud/OOG8e9fdbzsv1cr+UJ+VXQV9/9PdiNMOfK8FbFvx+ 2HMC++qHCnsLRwv7k/DHCfzTpWnWui3r31HqpEVxUR/Pwtf94Ws7eGdbDsE7 CeRPffKnGnFwhzhQ7bnlMNii/L/sl+OoOZ6d1js81Dv9XvnH41/+Mb/w29az 0Vt99NdWi+q6vNB/z/HyqP82XW+5cv7rUq9S/37Leble7pfyVD1VlPNLBJ8V eMuD/zL2ZMM+V+wdgP2X8IdrCeGfS7Oy9jmyv1hJH1KQ/qM4dfAudbATfD4Q Pi8CL1ULFryk5tcgJU5UexPj+naMO5b2dzy72Gh093Wq/jpwQ8mE0u/0AhVa W7VZnqgnZ2/aMPRfv8tvOS/Xq3LU81HjXuWTMuDPiz19sa8i9sZjfz78URr/ TFX6Qtm/1aHPe3tL9Hfz6S9e04/kLizq5C/q5Hz4/jx8X0nhLTX/1DhS/eE2 r7dXh6Brf8ev63f9eXhxs753dZGiMwpF/f1W151T/K/GtcoXEp/EGwf+adhz BPtkX1CO/moB/qh7T/in3tGsfbTsj33oo+teFv3zQvq2e/Rte+g/jq0V/cdk pY5OpR6Moh4UVnitlZKfapyp/jLZ+yxZV6r//xhV/6pxq/KByrOyXk0Br+wL 9mPPU+zzw95Y7O+NPz5yv2ih3DvkKOPRGj/OwP+3kWNJPIaiJ4DzywGOSkqd VeuFyntq/qpxqPpTfn9T4lLNd5VH1fok8Um8v8IF/pyThD3zse8R8bgY+8vg j0j8+ORI1nuajMtJ5HuFuyJuLeGDePLaCr7wJ+5LwSdnyQsnpX9R67BaT1Re VPNbjVPV3+o+KU+tP2pdl/gkP54Cvyf2XE8Q9l3DXmfsv4w/VuKfn8q9VvLk eerPt+GCR+9Sn27As62pX23g4RfUt9LwdCWlL1yt9DdqnVbrjcqbav6rcaye hypX6lP7IYmvAHjb0b834n6wDvvWYG9j7q8O3GcHU2dcZ2d9B5B1Oy/vGCN5 FwjgXrqPuu8WJvopX+5bRbineNM3xCn9dm/6Ndl3qP2PWsfVeiTzUeU5tX6o dVntd2Tf6gUeiS/GU+ANBf847OmBfQ+5z97D/gz8EVxK+Od6s6zvJrKPDKA/ P0CfuZ/+vQJ9+DL6+wP0qfno/2vSx3blfvCbPtyKfre/gl/GxWPiQs03yWOy Xqn1Qa27aj8j8+Ah+vqh/w+48oCrGnhtwf+d++Jp7NuMvePpw4/gj0j8s1p5 Z5L3mgK8M9nz7lScd5DB3Iu6cN8M4N60jvvoNe5Vuxmzg88VfJeI06mce1ny KZB8coanYpT+KRP+l3X1T3jWenZa4eVi8Ivsr4egrxH6C4BnDPgq9BZ4yzH+ wJ5GvF+EY+9l7I/GHwfxz2flXU7esy/wfpHKPbwq7xvlsot7+j7ePw5xjz/F GIf+cuhvQpze4lyrkS8byJc38Go9eOh5puD3dXcFv3vTB2hrRN1cTD8yjO/J zD+OF+u/sr8B8hKRXxF95dF/FDzyHl0TvNnsBf6H2HNT2oW9TtjfCn+U/iH8 81J5x5TvPj68p33nXWgF722NeTdyZhyM/Ee8g4zi3Hw4t0DywRY+KAKv7oVn esHfP+U9KVPURSf63aFFRL+xj36jWILo487w/ZT+6wV11MT+a8hrj/xQ9FWC 5zxOCTx7wRcN3jDwt8BfZ7FvBfauY/yNP7rw7hulvPvKd8i2vPPO4p1yGuM/ 7M/J/ie8S54hbt2I9z7E+zV45BQ8shh+vkX9ekofYEbdmz1E9BN+70Q/8YA+ 7doV0aetpf+N4NtgfmKSWH+G/V/oM24i35l6sB/9EeCJA18weFeBvxJx5krc tcbeb9ifij8SGZcp7+Tq+3hnZd5f8ftaJZ69FZ7YpvCvjVLXHiv/G/xsm7UP S1f+h9ik3Bu2KfexJso996byftBV+T9lu/LetUn5f+aV8j67S3n3Xvwf/lfg f6Rj/K90gv+Zwvnf6ST/Q0Xwv1QE/1NF8r9VJP9jRfG/VhT/c/39lvNyvdwv 5Un5Up/UL/Go+O517/f01eNGWmrJP8uOdO5uPO0ac7KLzyTN9c+QqYdnBRru 7j6rquw6rpmcR+1YMCfBqL3RbvzzI2Ymm98lKlRb+skwnv4Iybcqlx6/ovPv KUGWeqVn4jv2l5gvwPoM9gci77WU303om1ZK6HfpIfCo/vsDvgK/FuY3M03Q fu8zfrh9CTK0Hlfrh+U9rL39fT/k/p9441C1u17HpowzDowZMXzA/NL6q5yt YkZ9LqY/zleg7ta35qZuDdeMSJtUzLQpv/gOYD6a9b1yi/3Z/wh5IcivsV/o 64r+euBVzzcX9uRm/csMiwehn49rZzf27Vugw02j6Wh9as9Gn7RugQ1Wl/5j bXI/ut/t2rmWpustx9isj6hvslhRrfHNFh30L5+bbNq1u7s+j+9ZzFdk/SD2 r0Beu01C/rBMoW8++seAR40/e/xfHfsOgC9bxQvj9qx/pTWKrvDjrVVJU+3k 2SO/vW5o2rRzse/6Y+10J1+3QssWu+tFos//61LaWa+br9rtHh499bx8/5gg 5qvvEutLsd8NeVHIv4q+oegfBx41P1YRL805j3HYux55zr6W14bOrqjXjl+3 ySFonCmHc32f4cMWmezDbr6+nWOqvtOtTBHzESF694qBPZqvP6Rf49tg/rCT WF+T/ZOQl4T8k+gLQv9L8Kj524b4vjRcxE8Rzqc39n+7J+R3dFi92PxFkOnc IY8K05P26wO+VDjzq+4F3WON95hO787qupGjTuLvCN2N78HMVwoV6x3Yn4m8 70+E/Mro860n9PuCR+WXrxtEPnoR70WIJ3fONxx/LARfqfBh+XMdu6o7haVO uZQSbdr+s4Ht/KlJpogZ98sUb5Zkus73QuZ11r9h/z4pD/n50TcO/Z/Bo/Lf VvhjL/lZlfjvRvxtPiLOrwP+SUL/5a4zf51KSTR51+pYu1OjM/roCQ3vf/t+ Wz/B9znmm7C+I/s/EQ9Pxgv5yS2EvtU5hP6c4FH52QW+S7MQfDKefM17SuTD FeLtVrA4z9IZwl9PwNPb3922x9E4PaZt73YLex3W5/MdzvwF/NuceHiLvEHI t1gp9HUpIPTvAY9aP+xWCn5eZif4r+0XwS/25iJ/d5MferSIv8ec7wz85wu+ +vEFggsk/2PaxvdK5pNYX4L4bYu8nsiXfJYC/6ZSL9T6Ng38lQsKe/bjT+8o YW889p/Fn/nwZxz+8sZ/x8G3lO/XzMfiz9b4Mwh5TfFnTvSlUx8eP83qT3n+ 5YmHXMRnLPGyAf6LIT4dia+uxFuObiL+xoCnCf47y3cy8WnN+nHsv0V8uhD/ 08mHSPQnKvEp8yk/9Xcy+VZD1g/y8SH5OYZ8vXdC5K/U/xl/veJ8//A9hPlC 5Ptz9teBf5OQPwF979HfZWPWfJf89AG+cjhw59/81RM+C4DfisDPVeG/tehr iH+eEQ9TiN9Mvtswv4H1pdnvJOUhfzv6BjQT+pc0ycqfku9zdBf8f4V6cJf6 UNEQ9SKF+tER+en4Vycegom3DuRHHN+LmT/K+mLsb4i8q9SjzejzR/8FpR7J +vmCevqB+tqA/mCztai/O5G3Gvs9OK/H8F/1SJEPZ/OI/K1G/lUkvuV6uf8a 8r4jvzf6GvYU+qtkG5qlvst+5BT9yXv6lU30L+vZH4+9IZxPA+IpnnwbQr6W hc8S+F7EvAXre7B/KfImIN8bfWfQ76/0S7K/u0K/l/236P9CWG+DfUs5j16T RPwsJ94XUD8WFBJ84mEv+O8c/Lad+WGsP35Q7J+MvNrIj0JfIfTfU/pP2S+v on9+wfwS7GmE/98QLxOI74LkYw74YwD8W456sYvva5li/gv1+iP5GoO8isgP Rl+S1K/08/9b7kfc544XrPLQY3ARW82FUf6e99ip7/E5mxnbWxTesWluS4N7 4YnzZoPOdfrSV9s3OnPYiv1DNO6P4e/r527fr9RMY+DR9z89YmYb3DNP9lt2 wGeh/Rot9s6n6nNiQ+R9NMKjuldQ655xxujnjd5kRJyU99bImO733YN/RmvL nlXpEjsjXd5vI32uf+h8z/qH9qDviQpP7Z/Le3DU/QZrf3wYsd8IqhFYLdzu rbwvRyXZBTVzTE82lplypua88UXeq6P22Yvfq9UU6+XvExsKOUuQL+V0Re8Y 8Ei9A3oKnOHglzgXY1cK9kq7bJYLP6TgH+mHSQ2E397iT+m3gBzCz7laCv9L Pw/gXGZxXvJctijnJ0c5v4JzNGe/3enDnaoe9tJsGZP6PTN9vzTN2PLU5Z1/ 2Gxjbe85Y/Q3G7WC3vUd3b6v10qZ6m6otjXK6D+16atTQTHGoYbdVja+td4o 2tF97ZSoJK2b+/xGC1JymQbuGzO33p58etCz0F3955c3bUnp2+3EuV9a4ZXz i9Y8bKlnhv2+2+ywhSnUrHWVyOCq+rXpftrp4iVMGXzPPSLmO7E+P/tdkeeM /CboG4T+B3UEnjXgCwbvN/DHY8877LP3EvYmY/9Exq7455kS99L/OzinVPLg APKe4D+b0XZ+Y8Zs1uoybuyztlNSYLRx8PS54T+2nTDqH3467ortLe1hy90P 8tk/0abOC6kSVriIKbTThqgi+R8bc/02JTc9n8eUK9/dg18XVTZlWq4w90u3 068k2kyv5m9lKp/90smPD8vpj9OuBo5bVVa37x585sg3W310reCcc6ZV0UPd xffsdDHvzfqB7P+OvBzI/zNR6NM7C/0rwZOrlcB3H7wuZwT+4p7CnpXY95yx Cf40fyb84Ub8Vh6TlSdkfDuRB5I33o4S57SHc1qPv5bjvyqfJiR9vXNPa8bo NWpKW9sZmcaQfZvvvzidYbzq4jA66pSNKajjop5VjEp66LBZG5qc6WzaONwi 74a57XTHf5xyai79TOdK3h/kmeSov4g4/OPLP331t165Tj/P7WYat8Mncf6V 8XpU0P0u5U/1MG3ke3J/Md82Uqxvy/5bu4Q8L+TPRd9O9EeCJxJ8ceDN+Vng H4odOfBnEva26CPsb0Dcjocfliq8Kvkj113BM3bwbBDxX534t+QcLTjHq+BZ CJ51fZaOX1KlkN6ztxh9GrRoOblsX9PZgeturq9WydRyWPWw8MzeprCTZgPr bRpkaj39buToAwv02qs/zZtVtbXJenPtzDLT1+p1Z9Roef3PbH2zR92Y6jm2 67tq3Tt+98zSv986841Zv2OV2D8ceeeQn3eo0JeJfl/wvAOfg6cYs3kL/GnY 0wn72mOvN/Yn4o/t+Gfg3ax1SPJz8DPB4wPg78kdBK+cqSV45V1HkR9+5Edr znkX5xw7QODtBN7W8ZsX+yYPNEXfE+P6a2d2/OmwRp8zeL/X6JTFesTazJ0u vU7q65war9i9KlQv2TNb45K3zumdJn8abPE8Wp/ccM2iik9O6xXztVgxYtpp fSLfHZkvyvpg9l9D3iTk30HfQvSXB0838Jnwb3fwe2LPQuzrBx+NtRH2H8Yf q/BPOaVuy/pXjTq50V3UxxLwtTl8fcFc8E5veK4L+TOb/BlBHJQi7iyw5yL2 eLU4ePmlpaFPYLQ7FO3WIc9xvcuv2Bl1rGL0yHKDAy0j7pjqbDhlbWZ+0rTN yrHOFe2h6fuJFx+iDl82hfDdh/ljrNfZ3wp5U5Hvw/gV/dXB05Y4DQbvVPC7 YM+yScK+a9hbAfst8YdPD+GfekqfI/uLyfQhdek/kl6KOliNOugDn6fD53ng pf3w0vZAkV+dyS9H4iSNOCmOvfbYu3Ps44jskQmmk4xFRvR9snbVcVPhZua2 U47eMHk3tE06de2q3qtLqdrfxp80TeW7uJxnfTj7tzBKf7qg7xH6p4OnBvhy Bgi8T8DfuYSwZ5u0776wtx72J74Q/siPf7Z6Zu0LZf8WQJ833U70d6foLzT6 i1rvRZ2sTJ1cBN+Xg+/XwVv54C1L8q8a+XeZODpDHGU0Ff4oMFL4I+VK3uZv Wl3XDzGmuRd7+fXQMV374tfg0cQ4PXt38R3J/APGhfhTyrsi4xR9NuhvDp4C 4OsD3gTwWw8Q9ph+X/y3ffuxN2eAsL/1UeGPE67CPyVrZe2jZX9cL0b00TMa if651wzRt1XLIfq25rVF/xHYTfQfjYNFHQ2hjlauLeqBN/XgpbngtRB4zS9c 5OcZ8vN1ZxFntsTZIPwl/TeiW94eKzOD9eGMyxi/Mz+Y9a3Yfw15p5Bvgb5Z 6K8Azy4HXxz1awf4L9IXlKa/iqTfKo396fSxdfGPodw75FgJ/+5jnRX+r4Gc P5xPf/x4i3jcBY69nO9IcGbj/Pdjx3LiIw47M4mfuvjhJvH1DT89ZFyK/97w bUFc3mF9V/ZLPjiM/Fbo80G/B3jmga8NeHuCP4N+azx+HE6fupP+vwH52Zh7 2usaWe9pf+OSfL/TmriFHw+S13PhCxn3Q+GTQeTF2ZWCb55tEnlTEz5qSF7l gK8ukHeh8Nk78rIpYwj+GY5/mhJ3A/k+Jf3H+nmMm5F3FPkt0GeFftkXFCav 3em3PtG3tofvX/8R9q2kHjTC/jrcmxo5Cf9sVe61kifbU38KwaN21Keq8OxD 6lcMPDyW+nYanh5H/asCj+elPqbD8x2pn/2oA8UYz2H/Wey3Iq4M4uof6swR vqswH856WWcaI68yYwD6DPTfAk8f8F0Erw33gbPYk72wsK8696J52B+MP0bh n8vKO4Cs24VeiH6oYi9R18dxL/Wn7n/uIvqpeO5bYfRbJ+kbfAeJfuwAfcU3 +rZg+g53Rn/sO4N9tYmbUsTNCPJxHPnYGJ6T/WOoUj+Ksl/2BWOQvxd93ozj wbMCfNoQgfcV+Iu4CXt2YN96d2HvBexv7ib8Eekh/FP/ZdZ3E9lHLqI/P0Gf +Zn+/VV50YdOoL/fQJ/qtl/0//XoY537ivvBaPrcVYzu4F8Dfl/ioiBxMZJ8 OwgfOMJj7eAxC+qDF98OzL9mvavSz5RFfm30PUG/J3gGM6Zx/+oP/tvcZ9Zh X1PsvUsffgl/hOKfDnezvjPJe02eY+K+2JB3p1Tuk7VixL1oE/f5BO5NxbiX ruVe1Y4xAHwrwTdgsDj3h5z7CvLpNXywAF69CE9tg/+7wf956ANm8D2f+enw cn76wI3Im478Leg7S564gac698EI8P7DWA97zMKEfQnY2wL72/kIf4zEP+2P ZX2Xk/fs6bxffOYe7sr7Rir3dJ8x4v1jAvf4WYze6O+D/vLE6UHOtRD5Mpd8 kbw6F55tSb2KzxD8voU+ILaLqJv56K/cuorvHPR5D36J9b+Li/0bkNcc+eHo 2wf/LAZPAnEn/TUQ/Br21Gesib2h2F8Bf8Thn85jsr5jynefObxj/uRdyOuM eG8r3V+8G1kyFkP+DuSncm52nFsT8sGnisiHud0Ez5yAZ55Rr+rD318SRF2c Tl2M+SD6jfv0G0foW/PRf81nPoH1v9n/66mQF4v8weh7Da+/rCzwuIBvAHi/ gV/aUwT7KmJvQ8bx+OM7/glU3n3lO+Rn3nk38E65mXE1+8vmFPtrcC6JnEtv 4n018f4YHjkt7/Pwcyz87ETd+3xN1D1535rnLvqJ0vStPRxEn+bGfaAO332Z n9BBrN/A/q/Ik/fgStTLKdTLzeA5Ab6h4B0I/kfYY419mfhrLvZvxB+rGNOV d3L1ffyDMr9Z8XsHJZ7dFZ7oo/DvqxdZ61pPpV/Y6Jm1D+tdK2t/2y4m671h sHIfW6Tcc+so7wcFXmR9l9GV964mx7K+I3ZX3meXtMz67p36H/5XKO+9wSNo W7RdyLOYL3bNijUq2Xf/x4H1Wjgcdor8tquhq6N3gaq1On2s0fhPb7eWW1Ne NN5y7FfFiM0znNweh/iu9f/gFKSNc3bMbO5ce4PJosq6Cc4Nqy/0G274//2W 83K93C/lSflSn9Qv8aj4/qn7063jqSMuu6+usZk98Wb0IpuDC4b0++hi3qlT xYr7LYw31b50bxpRX7s3bnPpj8XcjRbZV928tmOmUWR92I16ZmONRaOj8obu n6MtOVt8ea0aS7UIvg+vE/OWrN/D/lbVhbw+yP+Dvi/ofwQe1X9jmf80JteB kFrvXVaFDfVYV6OwUbxknZrfWtbQUroNfb9iTzej4PtPh5pUSIv2nd+oWkRK kLZ9U7OFc2sEal3e3tj823m+ceHY3rO9zwYYi/kexPwk1oc2/fzv/Y3dhbwh yE9Dn8NYoX8veNTzvYw9v1if+5+e47dm1NfMK9V39ujRwXg/JJvVwMljtK23 kxyeTN9szO0xYmcBs9PG3KOtK7fbd8C40/tW4WGhF7Tip6tFP7f/V//RR3zH HBHzXqwfyv6QoUJef+RPRJ/rEfRXEXjU+PvaUfh/dglhX2xFsf9ozdwv734f rCWdLNLc890qw6lLp9iPX0ON7Xfn6QnZr2lFllYtmPfWZy27S69DVgOK6TGb fxf9EVtRz8G3OfMprJ/N/voRQt435Pe1Fvqeon+cm8Cj5ocv8XKS89iCvU+Q 12Ni1b0H2m3VQv5Zfrybzy2jR4ztvA21GurNuwUVrp48Ss+ft3XRJW0X63ti rXf5fVr197sF8/1Y78Z+l0lCXjLyKw4T+p6hfwd41Pz9NFbEt13RL/+On023 xPlcwv5mu4T8ZccqxffL66ofWOr34nfaKn1Gc8fGdydG673MVnSyq35Lr/82 R+m9AfF/v6cxf5D1cv8s5D1Gfgz6HpUS+vOQbyq/xGcT+fhxnoh3N+Ip6o44 r774Yz/66tXqf9Hc+7I+xrOWVqfGS334w+TZG8qn61tvfjy48VO6PoxvOS/X S7zSv32Jh57ocyHfvoFH5b+u8Edj8vNcmIj/gsRXa85vOv6R+nOWOaj3ypOu 943qNvP7o2T9SNyDrUc2xv/9lvNyvfS/jIe8yG9JvvVCvz94VH6OhO/83wk+ eU3+fm4i8kHGmzxP6T+JZ5jXx8GDHx3TT+y2evji66q/33Jerpf7pbwfyE9D 3x/47CB41PpxBn7OgP/qwi8G+SvzQ8bfNs5X+u84+Ao6hPsV+vDGkHjlvFwv 9+9G3mnJD+hbiv4x4FHr21Xwn8Cff7DvI/Za/Bd/Dv0P/uz3H/yZD3lpyJ+I voHoH6b4U43PYsTHO+Lz5xIRP62U+BxLvOX4L/GZ4z/EZ0vkWROfD4nPY+i/ p8SnzKeP5FdF8s2D/KtOPnqSnwf+H/N9+H/J9y7Ik/ViE/rWoH9m9qz5Lvlp EXzlnVvU3ybUt4+dBb99gO9WwH+Sn6b/F/6U89K+leyvAt+bkD8KfT3Oif4h RuFPyfer4f/z1IMP1KM46sVU6kcf5PfCH/L8ZLztVuqRnJfn8Qd7E6hvm5F/ F33b0T9JqUeyfuamvxpP/3KHetu3lqi/65DnQP3w4LyuEr9J5MNJ8veN5Bvm m7P+Kf7bg7xNyG9LP5KC/gWdstZ32Y/Y05+MpF+ZS/+ygP2VqL9zOZ9RxNM9 8s2M/qgi/PKV/H3EvDvrO7A/Cf91RP5K9PVBfz2lX5L9Xf5rot8LpP+rxvrr 2HeE8yj/TcRPJ+J9yUaRn6fSBZ/sOQ7/pYnvdObrsL5Muti/D3kG8vuhbyP6 ba5l7T9lv5xJ/1yE+Y/0o7Px/3ziJYz4LkE+loA/vsF3Z+Hnm3zrzH+BT9az f47Sz9vhv7Lot6qXtZ//33I/sq1mNPUMHG2/e+OMDW+K7nDZxSh/31I8t+nd k6hoj+cZvw9ciYn28i3R9EznsEYxXWuMMS1OcKnvtOHPYVOyy5spK2cmH7vs MGlQh9TOId+jY7vfczw6LiO62dHlXdt0jXG0X9HrzT/1imiJQ+o1ORFSSbv0 q0Rx673LG/9MnBW98EMLo+HV3F7DmtkZP+I1r4QEeyeL15YB/ZY6ap8XZ0+5 enmEUWxn6qt3vlFON460ya6t8dWa6DsbdFzR38hcf9n39ZvyzvuHDD3nM9LW +NHA+vytMsO0oZk35s1r1995a7r37OP9+xqrE1tubpw0Thvyo8H0M6tmO2/n d4eGYr383XyEkPNFE/KlnKvojQeP1FsEnGevCPwSZ80Hwq7aQ4W90q7F+KFI D+Ef6YdX+C0Qf0q/2XUTfg7G/9LPZiXEudzlvOS5fFXOT45y3gY5AZzrerNn L/w/33dJZHTruPLcp7Nfo0tN+f5gUq+M6P1zs9+ql1RCaxJXZMWXVsW1xtMr F/29rZGR1vbhBtvqzkbHklM7LupV3PBqabl/Yx0P7fyu7QNKfJxjuLUdkFr/ 3nztzVSzG82zrTde+piHtBk4WfO42CRkc8+l2vQxRwa2mr3QaB+Rc0+erju1 TP394dElVxl9+I5hPpP1vdkfhbz6yF+NvqLov11I4JnWTuCbC97l4C/iL+w5 gH27sLdzDmH/Y/yQjH98lbiX/vfjnJaTB6ORNxx5Dle3v6poVUq7cEWMd7we hrdydDTKnRgwYuziBsbTjluyP4jqqL34fll3WN5bc+3X0izXxuXGuY6drZ+M 8jAM823xOf38DctWNZ+NyLbN+DFi1NLrDcI0y0VWh0/1WmvYJy247Ltwg5by 7Z/KmbvWaB1tJnXKXyJEm91kR2J0yHZtIt9Vv4v5iqw/sVDszzNSyMuH/A7o 295B6J8IntE/BL5RbgKvO/i1/sIeV+zczXgU+5PwxyP8c1bhCRnf991FHiwi /udcEOdkzTmFHBf69uK/JU1yWd4+2lXr4CLGMutzLRrfw89I+llmiOOpSYbv OZ9NrdO3Ge5j41zyGFs0v9ob1ziZXTJ2/y7ZeEXVWG3uENsZzy4fMWY3zvU7 rWO0dmRTl2axoXn0NWaNk5of9TduLtnZvm+DivqdurvmTq2+VrvFd748Yj6G 9T8dxf6Rg5GH/Cro+zVG6K8PnsEZAp8HeJeC/zX21MKfr7B3HPZfwh9P8I+3 wquSP+bAM3uXC365SfxXI/4/cI7DOohzXAueYeAxJR13qpu6WLN5KMaIvY3y D/x42/j00H3F9k9+2qcFS19OCC2k71yc9jbnqvfaMMstf5oGuuv7PnWfcdCi od6m/CNzv3cz9IAJ664X9nbXAyrVcTlUJFDP9bWLjXfN/n+/5Xxr1u9nv5S3 HfnmC4W+pclC/xnwVHsk8D0B7wbwR2CPHXll81PY2x/7rV2FP/7gnxNDs9Yh yc97LwserwB/l2kheOWKueCVjHYiP3qSH6U45+dnxTm/eSXwrgdvhxdzfrTa VEYfwdircNseM5ZN0K949HqdbD1CX7uhQb/Z2ffrk6NKvTw0er2ee3IP2wfj L+rVihS3aNf6qJ7T0upjX+t7eurTmmYlSkX9/Zbzcr3cL+VdRr4H+gajvxtj OPiOpAq8SeB3wp752NfVVdgbnVvYXw1/tMU/Dy5nrduy/k2mTjqniPr4tY3g 69HwdXhLwTsX8gneGUj+VCJ/EomD58TdJcWe1Xfqxvn8y/4gxpR/pqUYjR/q dWd9v7ur4j3dLcwzpXyDt7rN4YutPzu/0K+6Nrcf+TJdn+zd9FGLl6l/vysz L9fXYb+UJ+VLfb3RL/37FXwR4M0D/mHY44x9z7F3qKxX1K8OqcI/B5U+R/YX ++hDltJ/PPIWdXARdXA4fH6P+jADXooaJHjpEPk1lPxS40S116ZMgmNEaNrf 8UdY3tKRr1L1bbPW1fcp8U53a/SkgNfqRL14SY8jo//1u/yW899Zr8qR8qU+ Ne5l/ks+sIZX92PPV+xbib27sd+GvuAE/rmuZe0LZf82gT6vzmjR312hv8h2 SfQXW6iTTo9EnZyRW/D9Kfh+lcJbav6pcaT6o0bbjr9Lbb/2d6xtYTnkypvN etSj6d/mVY7Sa/Gtrvsf/ke+1Cf1VwWPxBcI3mjwD8kl7BmHfZ2wNx/2H8Yf Z32Ef1wbZu2jZX8cSR+tvxf9s3VT0bd50rf9Q/+RUln0HzlrZ62jaj14qfCa mp9qnKn+st48sP+y/v3/x6j6V41blQ+k/hTwSHw5wSv7gsR6wh5X+qtO2NsK +5/Txx7kfjFJuXfIcQ3+nYMfU/D/cORc5nyu4MdY+o/b4Fit1NmqSr2orPCe mr8yvqQfayv+rK38Lter+a7yqFqfJD4Zj1fAP+m347/teYd9PbC3MPb3wx9z 8GNx5Z4m43IF+T5hnIjbm/BjSeK6AXwR9VDE/Vz4JIK8CIVvWpE3fkodrqPW E4UX1fxW41T1t7pPylPrj9Qv8ci83gveA+AvQx87AvvMuR8M5960C35sNkb4 p7qe9V4reXIz9Wc2PFqc+rQCnr1H/YqFhydT375SZy4qfeElpb9ZrdRptd6o vKnm//+IY+U8VLmybkv9V8Ej8e0Crw/3gTPYU5l7kTX3oi/YPx5/fMQ/pZdk fQeQdfsi7wAZr0Rdz869NIa6X4P73RDuW1/otwbSNxiPRT/2hb6iN/2a7Dtk /6jap8aNmo8qz9ko9UOty0FKvyP7rgHgeQ++14kC7xrwV+XetR37fmBvAvZr +GMk7ybtrmZ9N5F95Bb68zb0mdno31fRh+amv59LnxpO//+QPnY99wPZ595j HAZ+6V/Zx6n9keQDyauB8JhaHyTPyfVqPyPlZ+M+44X+4+CR+BzB+wr8C7Bn HvYlc3+rmVfY/4j7XUv8M195Z5L3mtfcF/vx7qTxDnKCe1F37vNp3Ju6cC+9 zr1qH2M+8OXjPhucJM59Bud+gnwqSD6FwVNHlf7pKvyfm7oqv+X8CdYfZP8L +MVAfif0DX8k9D/CXzr4noH3FeMS7HHj/WIZ9r7A/t34Yxv+maG8y8l79jPe L6oNFvdwq6nifeM49/QE3j/6cI8fybgN/VvQf55z3cq52pMv/cmXhfDQSXi2 KfVqyH3B7/Hmog8YU0nUTfM6oh9J57sVfcK5B2J9f/abkDcK+U3Q9xH+8QPP dvB5gncz+EdhT3/Gs9i7C/st8UdN/PNSeceU7z4XeU/rxLvmWN7diruJd6OS jIuQ74v85Zzbbc7tCflwm3wIhmcuwTOfqFcG/L1mgaiL/egLMn6IfqMt/Ya5 i+jjXPlu8CNrf5ybPmI58h4h/xj6NqG/Xh7yE3yJ4F0JfumvSOyzwd5ajGvx hzf+ea68+8p3yAKbxDtvLd6BbRgXsL8v+6/yDveD96Mg4j2IeP8Aj7jBI7Xg 53D4uTZ1L4i650N/lTRf9BNOY0WfZv1R9Gl1uA/0+yC+f9LHTZwk1h9m/zzk WSLfHX150d8UPM/Atwa8y8BflzgrQNwNwN5V2O+BPzoy1tiU9Z1cfR8vocw/ VfweqsTzBIUnliv8a63UtXPK/wYNlf8Xmtll7W+fK/eGs8p9zE+55+5W3g++ XMn6LuOvvHc165H1HfGZ8j57W3n3tt30f/9fgf+RjvG/0gn+Zwrnf6eT/A8V wf9SEfxPFcn/VpH8jxXF/1pR/M/191vOy/Vyv5Qn5Ut9Ur/Eo+KbF/Xqwc6G jbTKWtyPPIa74dHvw7n5HyZqHeZf72lVNNBoeqTGzmJBx7Wei+YPee4Ub6xN 3vnZO7eZqXmVeU3W3P1o1GvUa0T5iJy6j8eSIiGxhXQrvq2Z38z6APbPQV5n 5N9AXw/0HwCP6r9izNv+c6vyhBYTtH6JwfXPrwwyzl0IfOrfN1RzXF0tR+e9 8cZMh0UWZ2z2aM1yLHj5NldpfXzlr2Y3KxXTh9wfUNEizNy05HRA0cT3RU2H EsT3dubnsv5EE7F/EvLikB+Gvi7otwOPer4XsecG66d4XWp/KeS49mZyQLn+ OW8a87yqOyYM/aRtLNN8pXMja1P3dgfSHeq0NNma1fRr1ri+abn78y+Hl7bX Z055eOdUse76Kr6fZRfzHVm/m/33kfce+enoy/tA6P8BHjX+rs0T/s+NfXXZ 7/DxxuvBxV9p0zofC7h5uYSpnL/XKHNTA1N0ztIOjeu309fdue48NbmbnuJW z7ll/866q11HU0KNXrpvJ/H9k/kpucT6AnK/lIf8keizRf8r8Kj5cYt4+c15 3MTeuV2EvMS4hhm3P1nrdzZ09XavN85Uv6DT9uy5FpnODFg5L/u4qXqHq5e7 D/cM0QvXXVLFYvYh3ZPvFgPF/K8CYv1N9u++KOStQ367/kJfhyChv85RgUfN 38kLRXw3txXxU4Lz6YP9U5GfaDZ+zebZQabVLbqHvLuxX2/3z49+2Upf0FdM mpBj4+Oz+rBWP+NWvY/Qt/LdnfmfrL/P/tnI24b80ugbUUHonwgelV+6kI9B ZiLeSxBP43OI8/qAP8zQ55n2ZEz3+Vf1xHJlXh99F226UXWF2aQ+SaYZFwrN 21YlyXSN79XMr2T9XPZ/Qd4x4qcB+mqRbzPAo/JfMRvBH1srify8n03Ef23i a9MgcX6l8E939H8+7tNs75VEU3qukIhiZc/oC6LimiUl3datcovvWOZbsb4r +3cTD2ORP4t8s4YfwsCj8vN4+C72geCTNeRry44iHzyIt8cTxXlaVhP+ygDf jk2dtr/fEadfum1bdWifw3o4313Aex3/ehMPGvKakH+L0dckUehvDR61fuTu Lfi58RnBf1fhFzPydwT5Ma2liD95vqPxXzj4PKPOXAye+Y/pKt9rmO/H+i3E rxXyviF/IfrKw78jqBdqfXsO/rsPhT1Fugv7fnYQ9vpi/yv8mQ9//sGfEfgv EXwX+W6AP9/hz1b4szTyHDmv1vhT5zztFH/K879XWcRDQ+IzkvgMuC3iZyHx WZT42kW8uZ8Q8ZcG3gn4rz74zhGfHZT4TCE+NxGfPYlPW+JzjRKfMp/GkV8f yPea5F9T8vE3+VmXfLUlf7egPw/+ncv5OvO9gfmhrB/J/u7w7zzkj0VfT/L9 mJLvkp+c6A8KusBf8FnMXMFv++G7U/DfEPSVxz/mnOcP4rcZ362Z92b9Ofbv QV468n3RV5D+ofGirPwp+b4//L+UejCC+vCKevGd+vEY+bb44zrn50q81Sc/ evDdjHh5ynkcYP9Y5LVFfi70ZVIPXx/JWo9k/VxGfxUQJ+prKvV25idRfz2Q F4b96zivEsTvjfYiH5IbiPxdT35cZ74b67NRf5yQF099f44+S/T3mp+1vst+ xMdL9CdB9Cv2/UX/MnuK2O+IvZc5nw7E0y/yrQz8EA2/PCB/k5kvxfop7P9F //AVfF/olyzRn88ra78k+7tP9HtVQ0T/p7He66Kwrybx8KW1iB8n4v2dtcjP 7UmCT/KfFfy3A37xhj/SyE9r4u8951sS/5VG3yr6z4VK/yn7ZZtTon/+xnwp 7PmK/3MRv+eI7wDy8Q18lsdB8F1O6sVG+C8f/DKM9Xbsf0D89UV+DvRNRf99 pZ//33I/4j53vNjvvDbrvatoNRnl7707z4/IF9zU2P1s0KPPX1oY3AtPdCnh +ipfh76aZ3T7PW/thmjcH8Pt89S8NW35DKPWhLeHdI/ZBvfMk2Waz2neueQa LaXX7QcuC0LkfTRidpFTHYq2u2DEta39sO/ik/LeGjml+fUWfVxjtHDNpufN dWnyfhvZ+VWHoB1jvmteFlG/fg1/Ju/BUe1inb6Wm3fE2B+da2a+8W/kfTnK MseXSY4fko2bLhNyWJT+Iu/VUSPMxO8jWC9/Tz8r5IxBvpQzG733wSP1Vm4h cBZtJ/BLnLuxy8pD2CvtaosfauIf6Ycg/BaGP6XfduPn0/hf+nka59KC85Ln 0ko5PznK+enI8WS/fcUJJTw/99NcGfs+n9Vzuj7NiP8ZWm/jkNmGS821FR/P 2qj5vBrb9PiY9dry1Ocjzz2JNB77XFtpuyLGWBLmEPf+5DzNrMTcYf4THmn5 Vz+7PTMzpynP17IrJ8Sb67ddWyVf31DO9GNn4/CE2Eyty59iC23rWOpOfZ4P Sj2R3xQeFbL5aLit/uvn2eUpzYubNvFdgfkFrL/JfhPySiM/B/qaof9apMBT ZrTAtxu8s8C/GXusMoR9q7B3A/Z3ZxyPfw4qcS/9f5RzasP5lEPeWOT1bVHa 5W7OzVpiczG2nVw9w7NFtOEaNdO6tnbCOPz44oHXQ29pQ+xeerQv9UQzHzLt fYX+hU2FKtcqFH3lidFj4LC3SVNzmTLDQq6Y1atsCs3ZIcRhop1+ybNly9jl ZU1FLNNqXvC20mf4rEyLaVRWtwn6krH2uK3e6UbtQtX/2OhpfBdmPoX1P9n/ E3lWR4T89gOEvp7oLw2e7eC7B95W4N+HPZ7YeYIxCPtb448Z+Oe1whMyvg+O F3ngS/yfSBXnFMU5GZFCX3n0rSzas5zt8nuadzEx/ul4qmGd8Ayj1Nx5izaY ZRqdTy6v7tuisulQp2H7k80r6R9v9asQ2quzaVf/y4vHprTVDxR98qbktr4m K4vd8+ybOuple0/cZzm4r+7eY1ZqCdeOplytb/q+WD1ebzk+cPm9Cj1M2eQ3 8/NZfye/2D8AeRuQfwt9B9FvBZ414MvnJvBOBf897NmEfTewNx37b+CPk/jn yvisvCr5Yzk8s6aZ4JcexP9o4j+Vc3yZJM7xKnhagafYzRWtcn4upB+4JsYz 624dr7vC07Tfarnpo2tlU5Vh31/d8e5tGhO9tHBKh0GmDt4zgk76LtCvNvf4 mutDC1Ol1r4TO8xeq5tvznww7etsvcy2AScLWG/Xb5Yz/jm9Yalek++fm8R8 M9Y3byH2L0PeeuRbDxX6AtB/CzwLrwt8y8Ar8dfxF/ZoxGl5e2GvH/ZvxB83 8M9Tj6x1SPJz9zaCx7fC3xeLCV45dlXwiqu1yI885EcuzvlYuDjnOmUF3o3g fX2mfLDPlIGmD6fF+OXZydpXtTW666rf1T6XXKL/CbB/5t/9pO5iu/R1gw2h +nn3qluKXDyn3zEq7h71MFr/fujUl9/XT+vFXub/esb3tP6J79vMX2Z9M/Zb Bgp5GvJdngt979AfDp7T4IstI/CGgj8b9tTCvjsVhb2Pbwv7Q/DHU/xTo03W ui3rX1HqpGUzUR/XfhF8fWqV4OtF8Nq0QYJ32pA/V8ifF6dEHBwi7tYGCnts sMd6TbnVfhaGnp9xVlSJtw1Sjum/vE7Znc8Xo+cr6tvd9uAdU8HBbYxthU+a et4Y41ykzkNTFTPXhQu2XTb14LsQ8zlYn6e/2B+CvFLIb8DYAv1m+NcMfL2I 2/3g98aeX/B4MvZuxv5k/DEF/6xQ+hzZX3jlF31IcqroPzrsEHWwE3VwVR/B 50Ph84X5BC9ZwUvzdZFf1cmvsCoiTlyIkxf4ywN7e5xrN7PPwQTTMEb3BweL L9l23HSuZPWGcw7cMCXW21K3/dGreoR7euRu35Omx3ybmG/G+tHsb864GPmf 0Vcb/XmI24ngywGfjAJ/a3j2Kva1pH4dwv5a9AUe9Gdv82ftC2X/NtMQfd7I 66K/O0Z/cYX+4uFoUSdbFRB1cj18PwS+nwavJbQSvLWQ/HtM/tUgjmoRR7vx x1n8sbr+xdmdGl/XRzP+/LFD2xt9TL/s13y497g4/S3fy5jfwmhi/1bklUR+ 4iChLwH9t8BjBq9WAq8P+D2xp2tBYd97+oKz2O+FP2ZfEf75rPTRsj/uoIk+ eg599dAM0bddpG+7Tv8xf7XoP0Kpo3moo03Li3rwaauoB/deCF4rEyp4bQ35 OYn8XEKc7SbOnuCv6/ir5bXrV76/C9YLMrZmfMf8S9ZfZn8w8jyR3wR9f+DV vPBsBepVBPXrTyuBvx32HKW/ssDe7dj/iT52LfeLE8q9Q46OJuHfQjnFOjdP 4f/sp4Scg2PE+TTEj7V6ivOrgh8DON80/OjP+dfAj/bE40TsPEL87MMPC4iv JPz0hrER/kvn+zPjOtZLP4Yhrwvyi6EvHT8+Bk8B/OgA3sf40Z54rIsfh5N/ s/CjB/EYih/LGFnvaTIuzcj3yLsibh9sF3zQIlvxf8f1796CLz7mF3HvCD9e IC+6aoJvYsjrM/BjKnl1Hb6qQ95JXvxMXg5j7Id/vuKfK8Sd5MeFzLuyfiWj O/LyIv89+mLRbwU/PgWfP/zoAv7S8OMBC2FfM/hR5nU++HHbDeGfZ/mz3mv/ 8iT1J406c4v6NBSeNahfss74UN+c4OlK1L9K8Pgp6rUDPJ+X+jmaOlCLcSz2 22L/NeKqG3HVq7vI13Z832TejPVj2L8PedMZNfTlQf8E6rWsM8PAuxb8J7Dn IfaZcS+Kx/7q3Dd9qTMJyjuArNuXeMew4V0gtbjol+pyT+3K/aoX960A+q1P 9A3P6Hd30//2ol/7Rd8Yy1gd+3JiX4YSN1XIx7zwwUZ4Ljffi5i/zfqr7LdH XlHkF6PfSUSvC3iG0PdsAe8f8E/HnsX0PWmVhL1W2H8Df4znfedY26zvJrKP LNFb9Of5i4o+8yz9+4yXog9tT3+v0afOof8fKfvwW+J+cJ0+9wvjefrgvfi3 PnFRmrgoQb6tId/OwmMJ8Own6tUfvuOYT2V9PvY3RV4aebASfXb47xR4IhhT bwi8J8F/n/tZRex7xP3t+jVh/0j8cZs+fKvyziTvNeN4Z9rOu9N53kEGvhL3 ogvc5z9xb9rNvbRcJ3Gv+sX9Kgl8ceCbUU6ce/Hb4ty7kE+B5JMfvNoPnloB /8v7dQX6gM/Ug47Mh7A+kb61JPJqI/82cTaNuDsNnvXgWwjejYzDsec89vlh 70vuhQvwhzv+aa68y8l79kBDvF+MzCvu4dt534itJe7p41qK9w/bKeIeX5+x cXGhf9YTod+OOG3Fub4iX1L7i3wJhIc84aER1Kt95oLf29MHDAoUdXM7/Ugv +oQ46moG9cCb/WOR54b8nfCPH/rLgSeduEvCX6vx3zneJ0yMh3nvKYb9XfDH A94pMpV3TPnu4/1cvKcNKSnehSZZi/e2nS/Eu9F2xt/In4n89qfEuR0ibn+R Dz/viHwYbCN4pj8885Z6tQP+PkMfUI2+IG6s6Dcy6Ddcb4o+7gTfqfQjhVjf lHuWB/JOIT+T+5wFvL6Bd4J74PtCnK0h7gphzx7sS+W97B3jDd4f7/Ju9l15 95XvkHG88z7gnfIO4yL8ORH/+nAuNsTt4Nci3nO2EPE+Ax4xg2f38I76jfr1 iz4gL3XvHf2V7wPRT2yjb22VS/RpU7kPrOB+kEoft+SmWG/D/fUrfUY08kOo B2epDxfgtX7gG0J+riBfE4kzN+yLwl8G/luLP+Q4WnknV9/HbyvzC55n9buV kTWeXyg8EaHwb5Tyf0CI0i98ype1D7tkytrfTtey3hs2GVnvY87KPbeX8n6w Ufk/Za7y3tVc+X/mm/I+m6K8ew//D/8rVH+0+HevRdF2Q6e2zLOrXrFGDw53 rBpWsYXDIIdO9xuVd3VcG+Ru1ephjcZFv8xPOHb3ReMKjTLLzp4/w+n0HI9+ LSd+cKqxJbZM2Nvmzl+OzhhcftEE5zlFwvybH/L/+y3n5Xq5X8qT8qU+qV/i UfGNGj/uyT/1zrg0uz87PvH3k+hlHqOm6D+yazbGjl3pmWWNSrG/ftzd00zz tR+e72bxQcb7x67LqwQsNx49fXqoQPJMY5p1fsuyfwK0tDrXEscX2qBN4bsX 8zGst2H/SeT1QX653kLfGvTHgEf1X0Hmu/ZoMy4z8I9Lk1GvQy/FVzSSAx89 rHa8sRZexa2/NnCQEdPxw9axVxpo565Hlvoze5dm3X2DxUL/bdotxxSHZvmD jbMZAe269NpmuPJdmPlw1l9sKfa3tRXycq4S8sPQdw/9HuBRz/cW/jvE+tuT vcdVimqmxUyPqDvpaR/DwcV+TJWYWdrYkutteugHjGNlcpbMWHzDcI7q6z4o 3ynjVeqCzWHx97R5gfE/Dvgna7/43hIp5oNYX5z9gzUh7wfyB0wR+jLRXxv/ qvGXPVr43wH/DZkm9peft2D33pW+2s3yS97dPLDDGLCv0pwIH8O40vdD+8kV 7mv+1zZ/PHn2u2YRnd2/jnNxPWL0jJx+I6z1snwHMv+c9XfYP6CCkNcG+Xbg 3YX+Q+BR88NEvGzlPMyw9w3yusYXvF50Yqg2ffT7YRsHfDSmrd/WND6mnj7r 7uC8dQp46+Udq+h7AhfrW/I/Otu2yuq/33OZX8J6nf3Z7gt5D5B/HH0x6P8J HjV/x9iJ+C7vKOKnXQlxPpb7hf1HfYT8w30ndn7/vY1e/0FR2xlWq/X9v/oW XbQxWnd8U3Rl1/q39JVTtlh/DY7/+72P+Qasl/ufIq8Z8qejb6uD0L8CPCq/ jCYfbYn3ycTTBk9xXovwh8S3u3CudkXnXdYb+jYvVa7qSz3DI+OGQ5F0/dHT rRs7pqT//Zbzcr3cvxh5M4iHxehbjv494FH5zz9Z8McDd5GfiyJE/K8mvhZy ftJ/Uv+Mn565R2Sm6Y2/9mmyJzlZD2/R6cjz/fF/v+W8HevlfhkP85BfhHz7 gv5U8Kj8vAy+29lY8MkT8vXbKZEPMt7keUp/STztt6RE7851XD96IyNjca3V f7/lvFwv95dD3h/k53gl9E1B/2bwqPXDra7g53qZgv+OwS/Hyd+t5IeMP3m+ J/HfEfBlTNpyvaRFZZPEK/0r18v9Mt+k/JXoS4N/84NHrW/nwD/ESdhTEvte /3/60+m/+PMl8k9yfpXQP1Pxpzx/d+LhGPHhTXxOJH4WEE/7lPicpsTnSSU+ p/+H+JyDvCDk9yM+C1K/6j3NGp8yn7aQXwPJt+XkXwXycR75We+/5PvD/5Lv cv8E5K1F/nn0XUd/qSdZ813yU376g8LtBH+lwGf1qR954eejCn/u+3/kT7n+ GPvrIs8W+eWopwvaC/1N7LPyp+T7F/B/GPVgEPXhKfViQYKoH92QPwN/+HN+ Mt62KvVonlKPyrO/I/K2Ir8L+vzRf0GpR7J+5qa/sqF/GUS9NVF/ZyJvKPav 4LwsiK9L5MNe8jeFb2fmG7G+HvsjkPcY+d/RNw/9m4ys9V32I03oT6y8Rb/S nv5FnyH298fetpzPLuJpP/lmDT+sh1/ek7+bmZ/J+lzsH4a8W+Dri75v9EsO Sr8k+7ut9HuTe4r+7zrrA7BvCudh2UHEz37ivSb8YNVE8MkJ+NcPfhnD/FDW lyf+NiCvB/It8M849J9R+k/ZL1+lfz7O/C/60RD8bxAv7YjvO/CDFXz2Fr5r DD//w3dT5lexvhL745HXGvnO+O8f9L9Q+vn/Lfejbq0yv/aZPNr+vEurEe7L w1zkKH9feq1Opxw1L0eXS2j5JK73jegqR6pHr2se1qhaydWHrbKluqxqkbPK 8X4fXKpbeLR33HLZ4e6hDnEz7PIarh08UwZfyWd4FAn9+K5ljGOxyuPtTMUr aR+Xl+rwcVwDTTuWHJUUsLzxpAXtln616mYcrTCrW98yLY3FD3zNf563dxpX /Fyv2FWu2rvmtl4Dik0xnDwf5JzSL8qpUp44z2555mnef0K6B98dY/yzclGZ bbfKO/e/MffCrI8uxvSlQ4+dmDlJq7aoc6cGTfo7j8qzbHITLx/jxpEOpTLa z9Ham7fxsps/23l5bvF7L9bL35tfE3JqIl/KKYveOPBIvcXAWQj8Emcsds1b IeyVdnnih2n4R/pheKjwW6GWwp/Sb/vxcz/8L/1seV2cSyFNnJc8F1st6/nJ Uc6/iRdypnGuaUEVk8t4vnKpHyxGr4N5l7zvmtswy/GoYfKDfMbReqM1xwW2 WtUVsZdtEmy0Eus7/26Sr7WR70D0qXFl2hsrRnzVCy/Jr52NcvppU2e49jDz cK1GjoFGvbQvdefWDda6XG88v3HLPYZzJ8fsu4IXakWD576YvWiDZjH69oj+ EWuMOtPDFp3adkTTgx3W62O2G5X4zsX8CNY/cxP7yyHPEvn70dcG/UXXCjzf wNcdvJ7gd6gv7InDvnDs3YP93Rh/4x9diXvp/4fE/bcS4nwGIW8q8rqk9E1b ea6qlvhSjIET2o1J+drGKH51T+PGTs2Ns71zLxhfrp/W3nZF5ZN9R2rf35U8 p8/ZZHxKtj90x2eUcXxwxTktdgUa/UZkH99jXKgRkqmX3HIpRisRd7PzqeAQ 49xzv+gCvfdoFd/ZTHfuFqJZ5q6yt4TLMW3JBqcetk3CtK18P3gr5se+EOu/ XRD7w5CnI38h+myfCP1N0gSemlUFviZ9BN4G4LfyFfb4Y+dVxnPY/xF/jCR+ HVtm5QkZ353bizx4C2/0XS7OqTbntOqK0Dcc/80fcrbB/CkDtc5DxWh2rtDD 3hELjKU3187t/W6B0bZChXVhQaHGqODjyd6bDmr1B5fK6FYk0bA33ex1bfEd 7XnT048jpjw0HvwYYTOsR5zW7ULBZdf259Mvzx3z+c3OOGNAqaNVzxatpJ/P 3/F4h/o3jIF8P2V+FOsnsr8F8gpI+YOEvpdBQv/M8gLP4FsCnwbeGeDPzlgI fz7F3rnYfwV/jIIfvrfPyquSPw7CM3MrCX6xPCjiP2OdiP/xnGNDD3GOfcDj Dp70XtOtyvfeoJXtIcYJ72Jfh094YRwrl+Lu57XRqP11l9MQ8wL6y7oH/0xf nawtmpuUUahyd9217LubC9Ib6P0PDRqyyGmmPvF++605H7jrFpVKB6TVCdRT i/10HjS//99vX+blerl/MfI+Ib8j+laVEfoXgOd8T4EvDbxjwb8GezzJq33Y 60j+j8YfX/HPyxVZ65Dk5y/lBI/vgr+7Rgpesf5H8MriRyI/8pAf2TjnbJzz yhICbyfpv7lvjVFnSumfGWv/yJ3S6O4E3fHz4buZfiP0+ltuLuldfb/ud35r zrk71uvOrTNDE/0v6i6Hq7eK6HdUL9S+Vdmd1e7pw0aMeLHLLurvt5yX6yex X8pzQH5d9KWi/xLjFPCdA6/E3wB7mmHfFewNChP2j8Uf8finSvmsdVvWvx7U Sfsioj7GvRN8PQ2+nj9c8I75UME7Tw2RP49k/tQTcZCNOLDDnjrY89o+8Vwe r6N/x+S6rztm0x7q5Ve8fVW36j291Olc+/ZXf6ubD8njN73xC31x65lVXyam 60GXnu/d8iT177ecl+vlfilP1SP92Qg8NcHnAl4T+H9iz9Ahwr4c8Kwf9n/H H/2KCv/sVvoc2V/M/C36kCu5Rf/RlTqYcE3UwfXw+UT4/Pl3wUvXdMFLncmv BeSXjJMGxIlqb/brFpd2/JP2d3TQE0xzUlL1TXMr79xY6J3+PXxWvZlbE/XB pQoOf/cy9e+3nJfr5f5sjOr5qHG/ROGTevBqaXh2P/ZFYG9h+oD1+MOS/uzs 76x9oezfounzvG6L/q4e/cVg+osA6uhU6upX+L4/fD8Z3uoHbzVR8k+NI9Uf PkfLXtwRee3vODzD5dHHulv0m175Cy9pH/X3W12n+l+Na5UvvMDnB96R4K/k L+zphX0LsXc39mv4o8o94Z/zSh8t++NSR0UffYm+eg59WxP6tgf0Hxdzif6j s4Woo4Opo6+VejBU4TU1P9U4k/4ahr+Spq048Da9v/6Q8RGj6l81blU+UHlW 4nsF3kESP31BBvZtx94G2N8Zf2zEPy+Ue4ccqy0T/t2XV6ybhf/7IMc6TZzP IPTM4fyGgmMK55sfnE2UeqHynpq/Mr6G4ifpL9V/alyq+a7yqFqfpB9lPHqC /yD5tQb7YmUfK+3HH4fx42Xlnibjsjb5/vm+iNtq8MEl4ro3fLH/mYj7M/Dj MPKiK3zTV/YvSh1W64nKi2p+q3Gq+lvdJ+Wp9Ufql/woeacdeLuC3w1+/PJU 2JeMvZ7Yfxl/eDwQ/smt3GslT66g/sRTZz5Tn15RZxKo19Pg4Vz0ux+oM6vq Ze0L7ZT+Rq3Tar1ReVPNfzWO1fNQ5Up9Ur8TeCS+nOC9Qp1phT0m7BtIve5M nWnFfbMRdSZDeQeQdbsk7wCfiom67sy99CZ1/zT3q1DuW4n0W9bcU46XFf2Y DX3FTaVvrKn0P/WVOq7WI5VXVX5Q41w9L9lv1WJ8Ch4r8I3hftAB/IW5dyVj X3fus8nYPxZ/tOTdZI7ybiL7yOv05zfpM9vSvw87KvrQIHmfoU9dRP//spzo Y19wPxhFn7uUMU36E/yyT16o9EeSDySPSZ5V64OcV/lDyrNHflP0PUL/OPD4 MXqAtxJ9eDfsccI+L+y9vVfYXxl/XJPvZ8o7k7zXuPPO1JB3pxK8g8znXuTM fX4/96bG3EePc69awpjCvWsM+D5biXN35NwrkU/R5FN3eKq30j/1gf9lXe3N t6wPvVjfhf1/4Bdv5Jujb69V1nvLFPx3DLxRjPOwpxbvF+Oxdx/2z8UfE/FP svIuJ+/Z7Xi/WM49vEBO8b5xlnv6B94/CnOPt2Xci/556B/BubbmXF3Il4nk S0V4aDI8dJx61eOJ4Pfz9AHOOUXdLE5/lZc6Wor5LdQDg/09kfdW3kvQ9xb+ qQ+eSeArBl5/8Et7KjJewN5N2G+GP1bjH015x5TvPvN4TwvlXSia97Yqh8S7 UQXGQORPRv4Czm0v56aRDy+3i3xYBc88gWfqwN8N4O/Y86IuFl0j6mL1dNFv ONJvVN4o+rjyfJem/1pHHS1IXX1GPbxNPbyEPgf0LwsVeHzBtwm8Q2SeYc9t 7KuIvXJ8hj/u458tyruvfIe04523Mu/AFRmfsP8K+2N4hxvIufgT75OJdwt4 5Co8shR+fgE/l6XufacveNVR9BM10kQ/cY0+7Zm56NNm0P9Ooq/ty/yqJLE+ P/1ILPKe02cMR19X9F8GT33weYC3K/gDsScbcXcEe+Owvy3+aMrooryTq+/j jZT57Yrf1Xf5zwpP7FT4d5lS1y4r/cLaX1n7sKhlWfvbmkez3hvMl2W9j736 lfWeu0R5P2ir/J8Sqbx3BSr/z7RR3mdnK+/erf/D/wr8j3SM/5VO8D9TOP87 neR/qAj+l4rgf6pI/reK5H+sKP7XiuJ/rr/fcl6ul/ulPClf6pP6JR4VX3yD Gt3rPrbTLleb4tR0czfj6voew4N++Greu3xyjWgaYHxr9Gxni6HHtd+PvAdP fHTHSPA6dOBxVDbTlUIPJxWb+MGYctLD7lfpHHrAlWFl/MoV+Fd/L77PMx/N egf2t3YU8vog/8IGoa9JdaHfv6HAo/pvAfjmeQ/vM6LLeK3t2uodi8euNhwK FbozzuyQ9v3KoD9bf90zPn189Ta4zxntaYrfkoUWpXTXgev8rgQU0dOXevz6 5mhuarXvhWXztCKm4YvF9xHm97C+1zuxv/01IS+1oJBfeZ3Qdxf9pcGrnq8j 9nwF37i9L6u65jmutRjoNnCU3w1j1aifVyad/KR173Qs/48JFUztn/QLH5Ov hSlsa9smGU3qmcp73IndbuuqL6184+jZb930073Ety/z1Vk/y03sf+It5DVG /sh9Ql8P8L4Cjxp/K3cK/1fGPocBYv+B8kXWBJRK1TK9q33sV7uE6dCW9Udr zqxn6rIl/9Gldm31W4cv3Ri8pat+18gI3pbSWd8TPnp6muGhO8SI7yVhYv7r ZrHecavY33a0kLcM+bnAa0J/I+JBzY8fDiJeBnIeLth7FHk/d47xOXHMRs/r +1WPHD3WNM1t8MtfzReaGlSd2eu56zS97/V1LzNahOgJFV47NOp0SPfi26qa mG/L+ksTxP7Mf4S8wch/ib5J6B9K/Kr52+uhiO81r0T8TOwozqcd9o9A/rZz 8512Ra02zZsWk24Xvl/fa1+x4J435/WgHLNH2547qz9a8urtrdsR+n2+jzB/ kPUn2b8ReeuRfw99ZugPAI/KLz7k47WXIt7fPhbxlH2TOK+m+OPAVKHPaW+T FeOqX9UbnK/v7/oj2nS77aAK9conmfp/ft5wePojUwrf45hvy3oP8P71L/FQ jvjdQr4dBY/Kf6XgDxfyc+cWEf8DiK/p1cX5rcA/e2OF/tbbD+VpsjbRdK/K yUuFX5zWl6YMra3tv62PtRXfRZk/xvqr7N9CPAxCfmnybT76Z4JH5Wd7+C8R fgknX3uSH12Jt5KcZ4F2wl/O4HH9nmCfzT9O33pmz5nzAw7rLnznZd6c9ePZ 3wl5E5BfEr7ov0zonwketX50uSr4ucp+wX/v4ZcO5K9LRZEfbxaL+LPjfNfh vwDweS1bPscrepdpKd+7mJfr/xC/2ZD3+ISQH4++duivDh61vl0H//flwp72 2Dc2Wtg7Gvu/mwl/2OGfr5y3Pf5bBr72fJfAnxeJ1x74syPymiPfBX0VVgj9 lxR/yvN/UFDEQyXioxvx2YP4eU58hhBfm4m3KsRfLHiH478W4HNgviD5tJ39 fYlPA/59jr6UAUK/jRKfMp+2kV86+VaB/Esh333Iz1Ty/esekb8z0G+Gf0dx vnX5rsZ8UfK9Bvm+AXn+5HsH9B1Gf4KS75KfKtEfRKYJ/mpCfTtH/dkC3wXD fz3QF4R/GnGek4k/L76XM2/N+vXsPy35HvlT0VcB/U0fZeVPyffV4H9f6sFM 6sNB6sXFXaJ+vED+MvxRnvPrTrylUY8a8i3PtyHrT7G/PvWoEvLno68m+vMp 9UjWT2vqaU36o9PUd+cKov7G+gh58dhfhvpejPhafkrkwxTy9yP50YD5fJzv HfaPAF9J5LtS3wehf4NS32U/so/+ZDT9yg/6pTnsb4G9KZyPjKck4n80+RoO v1yAfy8w/4P6Np/9u5H3E39Up18qhf7DSr8k+ztr+r1SPqL/+0x/dxv7kq+K 8zj+XsTPQ+Ldj/ycvFLwyUD4byF8PY/5+qyPThf7h3G+FZHfB3wf6T9HKP2n 7Je96J/7MD8Ae47g/xj6qSDi+wH5mAmfZY8QfJcHfm4P/6Uxv5j1ndhfk/ir hfww9Fmi31vp5/+33I+4zx0PcGp7sY6NjbacUf5eKmeOTv4+umFVZsOmoCfN De6FJx4EmTISMvpokyb9GV+2zWCN+2N4o01fk19OnG6svO3fOrbSLHnPPHkm 8f7pfTeDteobe28pliNE3kcjmh8p6va5Y6wx7/7Wz7drnJT31shix070fBZ2 RvtWdsf4QY/eyvttpP3ZnsFPin/Tdh6+V/xqUrK8B0dtPdQ4R8fJUUbx0688 B39/Je/LUektti73fpNsHHySnqPkv/KBe3WUY3Px+weTWC9/z75byElAvpRj i94T4JF6XY4KnKUSBH6J8zl2zdkk7JV2peMHX/wj/eCyWfitr5/wp/Tb6mDh 5+n4X/o5ey5xLrbO4rzkuVRzznp+cpTzT0sLOZk5xP7J4eF6wOy+2kPGoEe7 71WpNdXQai0p+m7dLGP6Gc9Hibs3aAlFLRptGbJOs9w0PcPbL8Iw/+Y3+NLk GGNXcK1zg7sd1YJdqvn0L/JA+1za06GjnsPUYskJ71Gt8upelau9ynGnrOn/ UOeWUVk+Udu3LSpigYKJATYWGMR5KhiIioqtoIiF3YWBrdiF2IKtWIiggFyX iaCgGCAgBgZgoGIi1nuvZ37jWpzv+1/P+/X+NOu8ZmbvY+/Z+9h75uoat6N6 3+R85UGCr1HuWCO15s1T6zY/LKV3nR47uruhhRoRUvTW1pOV9J+mie+BcWJ+ M+vd2W+KPGPkn0Wft73QH7xL4KmUJ/B1AO818E+9Kuw501TYV+mJsHfSBWF/ F0YD/NtfE/fS/znE/Rby4An+uoj/atRxXTqp6W5lRG0x+v44mVwp6KLu4LmX qTsWhukqfZwWOS/lnlK2t9OrHlFPlbXlAqwyypbX1zdyManQ4oXuXtKn+K2V CusvVCx3PmhxHb3Hvrspy1a1UuvpF1YwOmemr/B60N+gYDN17IzL0dWXVFU7 PjXu16iFpTp0RvlJhY3qqYYZ4vvyNDF/8K1Yv4n9k5C3FvlTkoW+CoZC/wPw /HYT+GzBuwT8i/KFPTuw8y6jKf68h3+nEr++swvyhIzvGvdEHgyFNwIrinNq xTk9CBX6euC/ee5ZRi//JClnPMRo39c90s8hX5fl5lt93oxfurImQ1wSppnr 2yY/dTsbaq5+7Tnms4dpT/2Yffsfdonoog5/PLTatXHu+pvVc9b8MWijDu5p Fvn1pbs668OMe2dSu+kNncqOXGwxTc2a5bs1631f/XtH8f36vZjfxfrt7M9K F/JskL8ffQeThH47Y4Enpq/Atxi8x8DvxTgPf7rj313Yv4y4HQg/1NLwquSP AfBMTqrglwzyM2mXiP9kzvHle3GOTcETBp7MGj/L2evLq/pqYvS6XGnLmnlD 9MZBgzrFzLLQ+z+Y2GKc6yC92a4/blkhXvrDhVf36lBqhTr68NX1Jraq3id+ aY0efgHqi+EP7n9/uUjNM5z7+/qQIPWTu8Fgrx5r1OplxfdJ5q+wvstRsf8h 8j7tFPKXoW/6PqF/HXh2gfMc41bwh2NPeeK0Zh9hb1Pyvz58cAP+Pby7YB2S /HwqWfD4ZvhbsRO8Mg5emVpa5McO8sOQczbgnHvtFXgtwPul+pLLu04M14+s JsaETCPj93W3qbMDyx0LmbVarTTZPE3tdUE9vO7BhorHTqunx6x2eR5+Te0w bE6POQnR6gazXtP1py+re91tzPeNuayu5duZ+SjWB7G/JvKmIb9kltB3Gf1D wDMXfH/2CLy1wO+APYnYNw571d3Cfl/88Qb/PEkuWLdl/ftRVdTJ0SGiPm71 E3w9HL7+WUHwzpgUwTuP94r8WUn+OBEHZZNFHNzcJ+z5jf+y2n9uv7yoTr3D GO7d5PK4I+fUItcHTF6WqFefNGvlucT/gd5wd9x9vzoX9K7VRw+IMkzXb3i9 cvfeRbf0Hfh2ZT6R9V+vif165En52YzG+LM1/jVNEvgeg9cT/BbwwfSHwr4F 8Kwn9henfjU8K/xzVNPnyP7CiT5k9xXRf4yOFXXQv46og890gs9/7hV8fqya 4KW58NKogyK/tpBff9eKOBlBnOzF3i3YmzneYnqTrSn6IhPEWGpptR+mF8P0 fxbfCA/Zm6hvve5e2Ln5CerP4cOCRs+5oLfn+xvzbVlfiP05yEtBvg59PdE/ kbjNBl+VIwLvW/DXgGfXUK/aU79q0Ad8xh929GebNX2h7N9uXhJ93pTjor+L pb+YRX9Rnzpq/UbUyZrUg+7wfV0vwVvz4a0vQ0X+pZF/lsRRLnF0C3+k449a o8+drWV+R/06SoxW3QMPpKadU1+NfHck2jtW7cx3edZZMUawPwF5Oci/uUvo i0C/K3ywSuKDZ4+A3xd79tI3HMTeqreF/Zb0Y/Xpo5tr+mjZH3fMEH10EH21 /VnRtznSx5WbKfqPyfQjE2aLOlqaujraQ9SD59SHYfBaJLz2ifwcSX5uIs5K E2f5+MsRf20YHN3z4D1/dRrjeMb6zH9gfRn2H0GelH8QfZJnN4HnG/iqgLcC +LtjTwvsq4i9btjfEH/8xT9tMwreO+SYiX+zO4p1B/D/buScnSnOp/0Toecp 59cSHC7E411ZZ4lHHXYoxONk7HxA/HxZK/zQhPiyxE/mjKvxXwu+VcZKrK+H Hx8jryfyi6BvJ/ptiMcs8JmBtwz4E7FnCfadw95h2B+IPxbhn1eXC97TZFyW Jt/LhYi4LQkfrCeu98GP97NF3CvwYxJ58fGA4JsJ5E1V+CiFvBoBX2WSd7/h s6fk5SLGHzKv8U8ScdeUb0P8N4L1kxg/IO8V8u+j7xr6vcDTE3xR8LnM66vY czZT2LcEe8OwfxD+cD4v/FNDc6+VPDmR+pNBnXlNvb5OnelO/eoID8v6thWe 3kD9i4bH86nXo+D5B9TPx9SBAMYf2C95LY+4cieu7LxEvrrxXWiJmH/E+p/s 34s8Ocr+oAb6d1GvQ8D3DLyduA8Ml/cD7NuMvd2pMzbU62bUmQeadwBZt014 ByjNu4An99I71P2J3K+SuG9tpN96Rt+QSb87hr7CnX4tnb4nmFH6syL2XSdu dMRNT/IxkHyMh+cC+F7K/GXWb2e/I/LuIv85+g4xfqCPnA++ZPDmg/809pSm 7/HE3lvYPxd/FMY/nTTvJrKPXEB/nkCfWYT+3Y0+1ID+Ppw+dRH9/9dKoo99 wv2gC33ubMad4E/nfhFAXBwiLmaTb7XIt2bwWAI8tpT68JLvxsx3Y/1g9s9G Xgnk70bfH/SPBc9UxpHgVenDbbHnCvYd4/7WmXvIe+538finj+adSd5rmnNf DJHvTtwnR3MvWsd9M+qDuDe14j5aup+4V8Vzv0qoLvD5gm9zoDj3z5x7Ke6F o8inX0GCp+R9uR38/4f7tBV19S7fxZlvxPoh+8V+Pfyyn3y9hL5y6K8NnvX4 LxG8GYx67LHmXngXe32xv5Cx8EfJR8I/yZp3OXnPHsX7RS3u4Vt533jIPT2R 948S3OObMZYbKvRPRf+HPuJcz3Oun8mXCvCBNzw0GB4Kgt/XvRT8bvpR1E2P x6JuNqQfMaQfaURdtc0S69ew/y73g6/cs+qj7wL6L4NnPnH3k3hYhv/aYE87 xonY64P92/GHDf5RNO+Y8t1nDu9pbrwLufPetph3o5GMLZHvifyqYeLcjnBu VuRD8g6RD4PLCp55Cc+chL9Hwt9fo0VdNLoj6uLxWaLf8KbfMKeP+8v74176 4xzuB3/Zf5F62Bb5cei7Ds99Iz9/gs8DvFuJu1D5/oh9LtjbmnEz/jiJf7Zr 3n3lO2Q13nmTeJ9/xLif/XvZ35Zzecf7Wgvi3Yp4Pw6PhMAjZXjHvQ8/y3fc VtQ9I/qJGjrRTxS+Jfq0lp1En2ZM/7uQ/jeXe1ZwqFj/54bYv4M+4xp9xnz0 7ac+3ANPYXg/Cv5aDX/VJM42YJ899tpg/zf8kcv4x7bgO7n2fbyM5h39qMbv ZTTx3OpBQZ4opuHfx5q69knTLySeLtiHzbpSsL+11NwbDDT3sbunC95zXTTv B94pBd9lfDTvXarmHXGE5n12oObd+7/+V4i26uJfY2C0tc3P8HPHyxm3rnY3 J296Yac2sY41jTZ87tp249wvb0efadTOzSg9pczZV+1GVDYf1LXfAtv6canq 5YG5tp3jhqXGJjja3dtWpHtb7+l2K/0OmNdcv/Tft5yX6+V+KU/Kl/qkfolH i6/0u6D7Q2vedRg7M2jEycofoycUdzh1w6qC0sj7/uj7pxrpsvs28qk9p7dy Z7xqNaHnVN38Z01Tn6/dpbNu88y55Lm1upZBFy86ztmn7L7X7Fu1P0cUS74j Wov5/qw/x/5V/YS8Zcg3LSH0xaF/Jni0/nNhvnqS03wXIyNlVZDTtC0tm+tS 14yf53fAWclxK5nS6eE0Xdl4+yM3qrgrl+fk1cmNCFUa9aje8MqWU0q9avZm jY4e1KXnDIlfUvW0zr+q+DZgPoL1dW6K/Wv7CHlV1gr5pvuFvnD0B4NHe75H 8N8j8DU26nMzy6a3Umzh2FF3/47TJQROVXeabFSO5Ry4lfctQvc00uZTU+en uvAbfzo8XXdTt/ld56sndr1SrmSWCey77KNygO9azB9h/UL2zwwS8oYiPxl9 7cBrhn+18Td8jPC/B/4rtkDsf1Cv0KstN5cq16vZJBRqdlZXv1vY81cVbum+ LTf1e1g9U7EIrdxsa85f5f6e1od/FKmifi/y81JgQh31E98K85VXiPXe7B9W XcgrayHkFwVvGvrrEQ/a/HAnXgI4j6rYuwt5no1/NjHofVnJi/zsvdCkhL7U q8CVnzo3UN1tggd7jZ2gGrQwrVCk7mr1xGDTyyVXbfn3PZR5e9Yns390EyFv O/I3oO82+s+CR5u/zYhvoxgRP1nvxPnMwX5v5L8tP/P1PuOOakjbP11LzN6i zt5Vp7JxZrTq2mKLMrHDPdV6/If+CwMfqj34lvOhrM9m/zbkhSO/JvHgeV3o 7wEeLb9UIR8difd5xNPfZeK8bPDHafQ5nI2Z7xJ6S7WOeef+3TxTDWjWsMjF H+/VlTYXTn66/eHft5xXWH+W/XbIu0f8BKBvD/qdwPP/4j8bwR+Lu4v8zL8u 4t+a+BrD+Un/tEK/VZnYizcz36uTJ3/+m5mdoZqEFR8Qf+vhv285L/HOYf9w 5FVAvl+M0HcU/W3gMy0/z4DvilUXfLKbfA0mH2S8yfOU/pJ4mgbHuWzvF6Ye DRv/q+r2Lf++5bxcL+OjJPIuI/8w+vbAb6PAo60fL+Hn/u8F/2XDL9/I35Pk RyviT55vZfx3GHz+bad3aZPTTi/xSv+uYr2MX5lvP5Afj74E+PcUeLT1bR/4 a+LPC9h3/P+nP5v8hz+naPwp95dAnj/yx6HPAv2tNf6U5/+U+BxLfFQiXspp 4nOWJj6b/l/is6kmPmV8D0NeW+R/RN9X9G/XxKfMJ4X8mke+7SX/VpKPjcjP M/+XfF/xH/nuoMn3Dy+FvBTk/0TfHfQHavJd8tNu+KrxLcFfHvDZNxfBbyfh uxwNf0r/9vgP/pTzcn0u+2ORF4f8ZejLpn+4ouFPyffb4X899WAE9eEo9aIO 9eMt8s3wrzw/mb/B5If8HsF8B9ZHsz+f+uaL/EHoO4n+FZp6JOtnQ+ppYfqX O9R3J+rvQOS1pH4kcl61zor4GkE+pJG/QXyfYX4F61Px30pZL5HvQX1fiP5T mvou+xFj+hMn+pXj9C/r2T8ce/dzPheIp97E/w3yNRZ+kf3TAOZ9WO/L/jHI m4D8a+jrhv46mn5J9nfX6Pd+0P8ZsH409u3lPNKJ39PEu003kZ9JNQSfdP4g +M8SfvnD/DTW3yb+QpHnhfz26GuWLPQ/1/Sfsl+eTv98j/lX9KPn8P9i4uUa 8e1OPm6Ez/Lguzj4eQTfGcw3Yv159m9F3nrkV8N/Et8qTT//v+V+VDq70+bt nSfZWH42Nni09JKDFaP8fXqrk/s6XUmN9ppp5DDi25Po86dPDPO2DGn94Fa7 O/U+fHM4Pme1vvnuQorFlv2Daky91cZ7wM1qJ1yr6B4l7Hx7cIOZ7vLzz4+H NLrUtuWDrb/2PmihhJt6Wpcv6qic9p42xt9zXbtGb1ILnd45XGfsdevVmjt9 dD6W1qZjD9jYTu9a436RRkOVsX1Nnh8LX6kreXlWs5gWUbZOiY1rF/+2WfE/ uN50yYQFul8m5V26Bta0K5cX57rvfD/dh8MBzXv2Xa7k74tdcKq2p92I0Sar T3VcoOu2dfnSJ603KjmlF/duN26R3fpR4vcY1svfE78JOf2QL+XYoNcVPFJv EjjvDRf4Jc6l2NXHTNgr7VqPHxrcFv6Rfqg5UPjNYa7wp/TbpHjh5zz8L/1s Zi3OZQ3nJc8lQHN+cpTzFZAzkXPdfdwvqlOzPIfrjAOSH39ZMcNEdzi3S5HA p2a66NdjfXY/sFEGb7vUpGMxa2VPWvKQip/76lYkvNl/+/Vg3Rtnu8Qgn+5K 1hr/1j9HzFJmr7/veOXqPl21v6OvjPtyQLFYVt23zeNw3cg1+sAxZbcpKaPn xv8oekxZ0CVn8irHQ7rOJhV8irpdVh4XvteuT8szOju+pzBfY4xYX4H9H5YK eUWQ3wN959Af6yrwLL8t8H0F70Hwe70R9gR8EvbFYG+PYGG/OWM5/PtUE/fS /0+J+wjy4DP+moi8yP4l8zZUbKOMZjSP3/EqfuIAXcILa6sh+3vrCh1s1CDv 4iTF0cjg9KOfc5W45akWB2ce1z2ZdWTxICNfXdcVKSY1xu/WTVzjGTtlsE63 spRz96uGicr8qht9ytQJ091ffm7PzzNhSlxIdnFzXZgS7bLO1OvvFaVRTMsH jXwuKd26ie+5zG9YIdYPYf9q5Lkh33m50Pd8ptBvvkLgaVNO4DsN3j/gv4c9 NgOEfb0Z47D/EP51Jn57zS3IEzK+68ITC+GNeH9xTiac03j0FUVfg9Yx85xK TFMuMU64PP7wgq3+uo82b63f2wfoUmyG2X+yj9K1KJv849XqKGVa4uVS3Zu8 1o0fEzRvtd8Lpf2wU2afnD/pJlt07pFunqQ897tiuE0trwZ1bT3NpViGTv/S aINpuIWabrl4t0O/bN0lvg8zn8f6sux/O1TI64r8Duh7Zyj0VwTPi9YCXzh4 C7UpaIf0523sXYL9vYnbavBDuoZXJX8o8MzN+4JfuhL/G4h/c87x8X5xjlvB Ewye++2Mz96YFqwcayPG5k/zqmze8lV3Nuhiz6y/EbqqU+46zjI2UO3Krtnw zCFFN61UUNN3Sn810mT4zvC4luqBGZf2l01aqN7wmtA//Hw/tUa7KcpK703q bL8Lb5a3Hv7v+zrzh1gv989AXm3ke6PvXqDQ3xs8PuCsbCvGB+D/ij0didMZ 2JuG/XH4YwD8u9asYB2S/GwAj3eFv4vCKzPhlYYzRH48IF87cs7PrMU5T9on 8FYEb9a5ir6/u5moncLEWMMvqWvkqBnqp20NJ4fUH6fuLvZk6rc5wWr4vkdb J5feqZaumzH3xKE4teyV2IazNoSqF87WeFS8TbL69VTe0KUTo/59GzIv18v9 e5CXi/w66LNHf2nGjuDzBG88+OdgT13yvxv2bu4l7K+LP9bjn6bDC9ZtWf9y +4g6OamLqI83/wi+LgVfR64WvJO4UvBOA03+pJcScfBssoiDN9hTG3vm1ho7 1WJj6L/xZlq1Ie6d09W8adM7V7dOVl37jXiYYfpO9b/9NXGl9SvVpYXD1RLX PqgXRtgMGpOU/e97G/Nyvdwv5Wn1SH++B48dcdrfUOC1AL8N9iyCxxvAs9L+ XPxxxFn4x0bT58j+YsMB0Yd8viP6j0mrRR0Mpw6+NRN8PgQ+n1ZP8FIUvBRL fk0hv85p4kRrb/hr48Ctm96rYYxrvU9fMXiRrU5ziLQvVSRHtSy/t5jP+TT1 hsUd39cZ2f++5bxcH6aRoz0fqT8MPDL/9eDNBP8x7FmGfaWpX8+x/xz+aER/ dv9Awb5Q9m+OR0SftzBf9Hfh9BeD6C+6nhV1cqisq/D9N/j+Nry1H94qQ/6V If9knPUgjrT+8LT9tXNOzm11GOPv/IseQyL2qvnHJ9YdvytK/cW3XCdHrf+1 cS3zX/KB5OE48OaD/xr2dMK+ctg7F/sP4o9pP4V/6h0p2EfL/ngBffQZ+uqy RUTfNpi+bRD9xzr6Edf6oo5ep47Opx5Upx581vCaNj+1cfYTf0n/BYaH29wx 9FL3MQYxynm5Xhu3Wj7Q8qysV3PAexn83+gLfmNfXex1wv6X9LHl8Y+b5t4h R0/8e5l1d/H/CORM5Hy2oSeb84sBx21NnS2jqRda3tPmr4xDGXe/NP6U/vut iUttvkv5Up/UL+uXxHcTvOHg34Q9a7HPEXubYf86/NEP/zQ4UvCeJuNyPvle 45eI22nwwRbi+gH8WJS4nw6f/CIvbsI3QeSN5COZ19819SRcw4tyHKrxjzbu tPms5cmemvqjretBmn5J9q0fscd1mbCvI/xojv35+GM//rHS3GslT9aj/hSF R99Tn27CswbUL294uCP17TY8bVVG1L+p8PhbTX+jrdPaeqPlTW3+a+O4p+Y8 tHKlPllnvoJnOvh+Uq+bcR+Yiz0B2DcLe6tzf20u75v4Z57mHUDW7QT6oXW8 CxymX1pK3XfmfndE3rfot8bRN5jQb9elryhPv1aLvqOGpv+R/v2uiZttmnzU 8py2fmjrspRvrtHbHDyVwFd1v8C7DfwVuXe9wr7f2BuE/Q/wxyv808Cr4LuJ 7CPn0J8vps88Rv++gD50JP29EX3qK/r/KPpYI+4Hrelz+zG2B78V+D8SF5OI C5n/e8k3yWOyXsn6IL/lfCDrZX8l+60c5A9EXwP0twOPA2MU95q74L+APZWw rwP2OmL/JvyxBP9M0LwzyXvNG+6Lg7n3DOI++Y17USb3zarcmyK5j37hXpXE 2AF8LbjPziVO53PuE8mnFuTTfXjqLTx1B/4/C//Ppa6e5lvWh1esv8H+m/DL fPjFA3230X8Ff0WAr+IVgbcmYwnu2fuwr81LYa/1I2H/FfyxC//M1LzLyXt2 D94vqnMPP8D7RiD39IG8f5zgHq9jrIr+BPTHca7yfaUp+eJOvrjBQ67wkCf8 fmYxfZuLqJt9u4q6WZz+yoA6eoa6Oop64Mv+tsirj/zcZUJfYfSXA0+KfKcA rzn472DPDcYh2HsM+8PwRxv846l5x5TvPuVmife0wbwLdeG97QvvRjmMZZDv jXwrzq36o4LvGT+5lz+CZ9bBMyr8XRz+bkAfkEJdnB0q+o1O9Bvb6ONa8O1J P9KG9XvYf4F6+Jn7qy/6fqJ/L/nZFXwNwCvjbjf2dMY+o4fC3iqMM/CHL/7p O6vgu698h/TnndeYd8qKjF7sn8p+b87lN+9rUcR7APHuC48sg0dS4GfVRfBz cepeJepebfqJ28Vv/p9+or6z6NPMvEWfVpT7wHv6tjP0cSfpP0az/xX32TT6 jNrou4F+yfu7wLcDvKHgtyLOgrBvHvbOxf62+KMZ40nNO7n2fTxAM2+j8bu5 Jp6naHhisIZ/TTR1zUXTLyTsL9iH5Wn621Wae0MHzX2sr+aea6J5Pyih+T9l nOa9q8ftgu+IfTXvs+1nFXz3Pvgf/yvwP9I5/lcK53+m8/zvdIH/oSL4XyqC /6ki+d8qkv+xovhfK4r/uf59y3m5Xu6X8qR8qU/ql3i0+NpsD0gxcW6pZB8e YmwwsbeuRUqvl03KTFf6RxZ5M2bEOp0u9Yxbz0fnlHX9jIcXv5Oo+3hoe7+G Eb90hdIeTfkWmaNrf35s5fDahdRYhyuDq6oGagu+Z6aK+QTWP2D/yTQhr1aU kO+SKvT5HhH6v4FH678v4Fs5pkKYte8UpXOZV7X6tNys67MmtnevOcGKbTW/ aitOJOkMm+se1vx6X7lccaF9jFVldVZ3U+e0QeXUjxc6H2/SyUB/pmSP70GG FfRWfDdnPor1EexvUl3IS0W+aij0/UH/IfBqz9cD/40En0+P6bUiL4Yqx5p8 GtEg/rYuY+ThVRXrfVHiOj96dqd2VX1Jp8nZpzPb621qbWyx8UQT/UrXX3kN VnZRE429ds172lsN4HtJTTGf6SjW/2b/61FC3oimQv52V6HvJ/ob4l9t/LXl fOtjXx/wNS38MLmHc6Zyp06T5Hd/jPVTS96I2Xe4gX6Lb9jTNZ6d1dz5XsWC uvZSred93Vb8VW91xKladkGn3NUcvosuEPNhrPdkf3hdIW8/8ktZCX156J9K PGjz4wPxN5fzLYW9rZHXMmN8SNKRhurAJvVCXxSfpK9t1NfiZdxyfaBlxRlb fs1XR611WeJe+bDap+6ZRXs+n1Tn8+1UX8xnlRXrvdn/6bmQ1wv5aejLQP8G 4lebv6HEd4UWIn4SOZ/PJYT9TZCfMezXkq3tN+vrON5PKukXrKb4fqg8YUuM arb+d2TldVfVwR1zXDfviFA78h3P/DzW57B/PPIG4F+LLkJfGPH7FDxafrlA Pk4n3l8ST/kLxXn9xR+ZHdDXbEoZr9nx6tlZziNXlNPpK32t1OD14cf6j+PS jxxY/lhfi28/5n+z3gm8z5AXSzxIfdHojwePlv+GpAj+2NRN5GeNGiL+fxN/ gQ3E+UXgn53oLxs3taR1szR9k83T4m75XFbLxQR72Xe+r67g+2msmK/L+nvs 30A87EV+GPpmof8seLT8vAq++xYh+OQy+RrsI/JhDfEWuU6cZz/8ZQuehWbr EoZ1jlUvp+suvp9yRl3DdwfmB7G+NPEwFXlNyLcD6KuK/n7g0daPTPh5DfyX Db88IX83kR/HnUT8PeN8K+K/I+DbX3ipdfeuB/RRfLdg/gzrNxO/nsgrfFrI T0dfH/TfAY+2vjmD3w9+3o19M7F3Nfa/wJ/j8M9Y/DUF/70CXwDfDsw3Zr0J /hyAvO2c1wz0TcWfXTX+lOf/lXj4QXyEEy9l4D9LTXx2I95ciM9i4Pl7XfhP 5bsi8ztYL/O/HfGZQXyuox4YUb9mpBaMT5lPD8ivYPLtLfl3gHz8Rn6WJl+T yd+16G+Cv5I4315865l/y/p27G8M/55AviH17Qn6yx0umO+Sn67DVwvgrzz4 0wl+GwzffYP/zNHnj38yiYeXxK8B5xvNfHPWP2T/SOQdgZ+rwp/L4O/nGv6U fD8K/r9LPdhCfZhGvfChfixCfi7+fUg9Gkm8NSM/BvHtwfmmsX40+x2Qtwr5 G9FXjP5ksqYeyfq5nvpuRX3VU98tqb/2yDuGf3dxXkvmifgqRj4cOynytxn5 F0T8DWF9LP6bjrySRYT8GfQjjdcK/Y019V32Iy/pl2LpV6rRv7jJfgZ7S3A+ L4jfH+RbNPl6Gn6Zyrc1+ZHA+hbsP4m8fOT3R5+L4f93vyT7uy70e4fp/06C dxX+fUo8VCJ+zxLvRi4iP49FCj75Df/thN92wB9LWL+C+HuLvPr47xP66noL /VM1/afsl6/RP3dmPhn/ficeZhMv54lvPfwwAD7bAN+dhp+b8F0Xfgli/Vf2 r0DedM63HP47j/4MTT//v+V+xH0uLP7G0PrZgbWVt4zy9+Dtj4PeF7LX5ca1 b93wWnsd98LwXPORV5aPHKS0bXv55P7xXvL+eH6+/kCndo4+ulMpURPaNpsv 75kXvjnVLzmunr9SZdjOPsE5B+V9NKLmswxLp8TLuirXin/qO+e8vLdGXv0w 7Wv92Biltd2U2Jl7Xsv7baRFh+DL+1d/UUztXzVtWvqJvAdHeR83bL969nWd 38BSf5a2yJL35aj8WmNqVLuYocv/NrlWg/q58l4dtZrfe7Fe/j7gmJBzyU7I l3J+tBd6q4FH6o35KHCuAr/EeQa7inoKe6VdOzsKP7imCv9IP0RfEn5r0k74 U/rtdW3hZ++bwv/Sz0k7xLlsjxXnJc/FL7bg+clRzidxjhGcq+u0I+eHHBms ODN6lryUnFFhjm5DdkpEn6YLdBcPbo9u/2W7UiE0sV/3cdsU6wG1tru+Cdd1 n+kx3LnFJd2siX4TO7y/oUyp+vHNgB/JSuvkQ1dyzAvpn7lnG84cUlwNmRmz zW2Bqb7lrtVvfa2+K73Orq9bKbm0+mN+3M5jw0vox7waYOD1pbZqletxfs+l 8np3vp8y78P6+J1ivyfyYpA/BH3X0L96ssBjOEvgewbeveBPPyTsafxG2FfL QNhbdbqwvzPjY/zre7Ng3Ev/OxH3f8mD8/hrIv6bH7rc1X32TmUUY9FGSV1G uUTprt0beU4xPqe7O7Tx24PL7itNb1Yt8SD2iTJiZ3Yf215l9HOn9T/gPSxL 965t/YC83Fxdl7Hm+aNa1tb/DOtr3Tu+hVqkcCnHO+0r68OHNa72eq+xajBj 483Odc1U16ZRjyMbWKizB56OtXSuo+bxvXG6mL/tKdbHFBL7XyCvNfLHtRb6 jqO/2C6B58gtgW/RMIG30X2B37GxsCfhnLBvCmNp/PnxtfBH4TrCPyXaFeQJ Gd8j4YlN8EbOWXFOD4i7nfgrv6HQt7+6aeduWQ+UJ4x+e1qYXl73XVd69/ol dWv91t1w8zVvHFRZv352y4QP26qrN9786bTHtLt+067RH/vP76TO2uy/+mql wfqvftNf1T5trUabXem0Pm+IWmGrwYPW1bvqPydU/xTdZ6pqFtW9bvfjbvo8 vo2Yr1pVrF/E/sLIm4j8OPRFoT+2t8Djt0fgK7VX4B1UQ+A/weiJPzvj323E 6QPi9gj8sCa1IK9K/ugIrz6CZ2eRnwrxv5U4O0DcTcFfx/Ffjy2N7zezrKhe 2izGyuMn7xg1Y5A+03hS2aQpDfVtn12M315lgP5b5ci+0/yG6/0apxpO7rBc vbovJOpG76b6If6J687uCVBX1n50r3PMItWu0/u3dROC1PZ/yhi4R69We/A9 k/lVrP/D/gPI+4L8tk+FviomQr8HeOpuFfh04P0FfgX/PiROWxO3cdj/Dn/c hH+TNXVI8vNUeLw2/B0MrxhNErySTH6MJV+3c87diTsj8P4dJ/Bm91p2eXot T/1hxvZJrZz/fvZXfZPMU+Y1XqOGHRj+dHTnC+qlTPXNj+un1R2mLikfN11T +36pYRx6Jlp1/rQresDky2rgGHvHzz0uq+58t2f+OOsj2H8NeWOQPwN9i9Af xuiGP59zvmXA/wZ7vmKftLc4vPoCf+zGPwGaui3r32tbUSe/UcdD4Gs3+NoQ 3jGD57zJn6fkzwHioClxVwh7PLFnfMueq/vkRqszGc8cH3F9UcNz6q3oVcfi nPVqxIQ2FfNGP9CXLb+4cSWnC/pvldyrLb/5SL/LsuyRa463/n3bMh/K+jT2 30LeKOQvYVyI/tLgaUWcfgJvLPhHYk8veLUt9g7Hflm/kugfqmv6HNlf3LEV fUga/Udx6qAjdVCBz9Pg88urBC892yR4aW2AyK+N5Ncg4uQjcbIFe49hr71b iZZOXin6joxtXg7vlJkbpl9f3LnFhqWJ+qlpKx5cKJ+gLojvYuuw+IJ+PN8+ zE9gfRv2t2N8ivxl6PuC/pXg2Q++IrsF3r/gz8MeWa9ssHcA9tvgjy/4J8e2 YF8o+zeDQaLP635C9HfeC0R/0TFU9BcnqaONqKvj4fv+8P1TeMsF3qpG/l0g //oRR3eIo8n44wr+KOb77OiTnNtq0kIxnvf6UmqycZi6p4H/6eoDY9UIvvOZ r8h6f/YPQ95N5H8sJ/SdRr8jeLw0POwI/hbY83SosK869rbB/qr44yX+OaLp o2V//Is+2sRc9M/t6ds20Ld50n90o/9woI6Wuy3q6GbqQW3qwVR4bS689pj8 NDYW+elEnHUkzg7jryP4KzwnvVupA/7qacbHjMeYP8763uz3RF5p5B9A3yj0 bwSPK/hswPuDPqAO9nS3EvbZYe9g7G+EPzpzv3ipuXfIcTr+rc26Evh/GHLu 0rcNRk9Tzq8wfozmfG3Aacr5+2LHYuKxDHZOJH6kH/OIsyj8tI8xBv+d4vs6 40fWj2D/VOTlwaMV0Dca/b3BI/uAveDN1fRTB4mTdsTjSOwvjz9O4Z/Dmnua jEsX7mk9g0XcToMPGhDXi+GLOPK6Mn2bO3mRskPwzQDyZhh8dIO8WgRfybxz gc9ekZfDGdPxz3z8s5a4W8L3c+Zbsv4CY1PkxSD/KvoOov8UeLqDz55+KYa+ dTH2hJPXp7B3F/ema/jjEf7Zq7nXSp6sQv35CY/GUp+84NlW1K9f8PBc6lse PJ1M/QuCx7MfiPqYC88Pon7mUgd2M/bEfunfTcTVT+LqCPlaijjewnwk6/ux X4+8A4yyXkejfxn1eif4foG3H/37buz5gn39sHcr9ufiD2PeH5w17wCybs+m H5pEXdfTL3lS96Pop77SF1yh37pL3yD7sTD6isf0a9PpOwYwTse+UOxLIm6C iZsu5OMQ8vEkPOfJd+fyBevHNPa/QN4s5I9EnwPjRvBcBl8S/W7ptwJ/PvZs xb4Z04W907E/D38k4p80zbuJ7COj6M9n02c+pH8PoQ+vQ38fS59ag/6/Cn1s KPcDe/rcQYzbZB8Mfkviwpm42E++/dwq8q0pPGYGj22iPpjzLeclf2xh/0zk VUG+FfrWo98WPHJMBG8c98Vi2HMf+2yxdyB9+HP8sR7/pA0r+M4k7zUR3K9t uPdYcJ8cxL3oDPdrE+5NH7lXn+NedZRxDvhm4t/bxKmM22fk00Tyad9GwVMv 4amL8H8M/D+SunqT783Mn2F94C6xPx1+iUP+E/RFEHdP8Fc4+Dpwv+7HOIb7 9QLsG8n9+g/2n8MfO/CPr+ZdTt6z43jvceQevpX3jf7c0y15/7jKO88dxvbo 743+IpxrirxfkS8mbUS+jIOHDsBD2fS/K4YIfh9D3dzVRNTNX5GiH6lJHX29 Rczfpt45Uh92IK8b8nfZCH3l5gj9aeBpDL5I8OrBX533ibKMx7H3JfYX4T0t GP8017xjyncfC97TfHnXjObd8SjvZoGMebybqcj/QZyu5dxKkA9h8EEovOoC z1jB36vg79F/Df5PXfShL6g/U/Qbneg3NtHHqXzH0X/1oI72p642Rl4F5Ete Ww7P9SQ/m4LvI3gXat51OuC/5ryXuTBW5/3xMv6Zo3n3le+QbrzzzuOdcilj PP7cyP6FxGkHzmU28T6KeE+DR9bCI8fgZ1/4+SJ1L4O+IGWH6CeqhYh+Yjl9 WkXuA/Xof6Nl/8s77ife1X3oR0KQF4j8UrlCX6lqQv9m8GSC7xZ434J/M/bE YF8x3hnH4z89/jjHuE/zTq59H3fTzFtq/B7WtmA8V9TwxBUN/3bX1LXymn6h jm3BPsx2UMH+9rvm3tBfcx+zsyt4z31jW/D94KnmXeae5r0rSPOO+EXzP06A 5t178n/8r7BhVftnm/IuWvsn2cYPvF2p9bS9V15suurYpkNaxdHl9nVtu2nS Hq9Fgxq161Fh4Kkx41+1C9bbpcV8nW97rv+ev53Mc21LhjQptGGjo92U0JI7 Szacbte9cKNS01yX/vuW83K93C/lSflSn9Qv8Wjx5d1/t+BOvScOtSsNHDs5 /Ff0hbEZrd6rtZTAJuaPkx3b6jyehFp2z/RUDANmpK75O183euKB3j2LHtW1 WVbD7px+uy40dsyWC0bByrmsuw1rep5TDvL9dqmY78P6i9vE/nTklWkq5N8d J/Rlo//oA4FH67+qzM+o3i9+YdNqyqGwrfP6pTnojjpvvvf7ZH9lZ6vDhd1u Ltb1Nv4QutxpgdIjuKNjkU5XlBOz69S92CFS2a1mrJz9OFS3tPTuXy/Ui7o6 fG9nvjfrL1UU+8tZC3mZyJ8bLvTlof8IeLTna4o9xVjf1qfc9ojankrVGiv7 1uwxV+d0se62QU6BynB703u21WJ0XX/GurUp/k73pkpO4JB9D3XjGt0ausHv szLd5OWjluG/lVl8L2PenPUt2H8LeVuQfwt98ejPAo82/qpxvir2eVcX+xd8 3Dlj3oTNym9PqyPmHS/r3j/0MDTIeqDb6NKw5Io9n5WhM0cOsHpWXC350Gvv 8ZSq6oQ9zX3tflmo7fmezvwN1g9MEfsnDRfywpFvAV55fvvBo82PcOKlPOfh g717kNfp06UhMw88UJbP33lzgXtl/cEmz0z2NTZS/bd673ZuOVH1rHLpxQ7H Napd/EOXoS5b1RF872bezEqsH8N++89CXhTyv6JvCPpNngo82vy1IL5jK4j4 SbQT59MG+8sjv/WLg2s+dLdV3zj1HxXUaKv6fMepzh9m69QnvbfnVh1+T/Xq UfNkp7CH/76fMv+e9eXZXw15oci/hr7y5YX+l/4Cj5ZfLMnHvOMi3osTTxld xXltair88RJ9B4Z1GeBjFK/+Wtqt3T7jTLVt/53h6XHvVcNQ706t93349/2b +UOsf8v+28hbSjyYoc+BfOsKHi3/bYM/1pGfHyuL+N9PfAVzfs/wj8T3aHHj 0CUX36v7g3XzX33LUM2u/zWNLpXy7zud+T+sl/4PRN4U5DuRb2vRfxU8Wn4+ Ct9dhU/6kK8vkkU+DCfe0jlP6a8D4CmWHRjW/3OYeuPB8ranpmz99y3xyvWP ZXwgT8qfjb6i7YX+FPBo60cu/FymjOC/M/DLGPLXgfzwJP7k+Zriv+vgS+1V buesM930MXxXZV6ul/H7L9+Qfwx9RujPBo+2vtWOE/hXY89W7IvAXi+NP9vg H+mvov/hT+nvdhp/DkXeQuTPQF8++svFFfSnPH8v4qEd8RFPfI7QxKfMX5kf aZr4NNXEp5yX8ZzB/n3Ic0V+VeJTQf9KTXzKfHIjv2zItybk3wTy0ZT8zCJf 9/9HvpfmfKW/5bxcL/msFPy7Avnu6BuG/qWafJf89A3+3Er97kh920n96Qnf 9YT/stEn81+e53DiT34/Yf41653Z74m8QOT3Qt9x9JcOKMifku8zqEeNqQeh 1IeD1Itb1CMf5D/BH7LeDNPUI1mfJP84Uo/6sT8ReeuRfw59jdD/5EnBeiTr Zzz19AX11Zx6+4P6OwV5adgfwHmtniHiy5l8qEP+Huf7PvOurE9g/wbkGecK +SPRV7Wr0F+hacH6LvuRK/QnEfQru+lftrP/JPaO43zsiKe35FsY+boXflnD t5z/mi/WO7Jfh7zlyA9F3w30p2v6JdnfpdLvtawh+j8f1jfGvmqcRwjx04d4 t54l8vNHB8Enow0F/4XCL2uZr8L6+uyX51sG+UfQZ4f+15r+U/bLJ+ifM5hf jT0Wst8mXqoR38PJx1Lwhx98VyRb8LMJ382Yb8j6F+TrK+TlEW8x6HuP/oua fv5/y/3Itqa5R7GXE23m7q58pmTJBIc9jPL3ASsXvj9TNCu6nmOt76+2v40e +aCc0ab3Z1oPWnbu5fyUYkr1naWbJNgYKY0bne13tcqtNkNbb7LxXmyhc8s3 /r3Zqb4u/0/4jGlv9W0/WVf9Vq5JB2V7mUNbZ1fprXRLfFvrfaF17QZGxN+4 2nqSrshFu0pJnUfo3g5R/L+429huem+6b+TjqYpD/NlWw+z9dXa5R71tUyNt 98Rujy9aNEgJyT/840ldP13QlRKGm+xr2tm71xzq3HaK7kPpgVmq9RbFLMm8 da+0YXaW7i3cyl5aq3tSb3/tGWt3Kza1VkXFWC+y6zpE/H6L9fL3CshZg3wp Zy96m4NH6l0JzsAogV/ifItd5QyFvdIuNxvhh+P4R/rhJ34rtEv4U/rtI36O xP/Sz285lyZ7xHnJc3HZU/D85Cjn8zsIOX3Zf3Th96fJmcWV04wdPgZvHXGt rq79uL+9V76or7u7uXaRP5M6Knfu2DsEzHJUcipVGFO6/AjdOau/ISndxuke Pxs0ZfmLKcrChx7flNVLleVFqynr7YN1g0w7jbO9EqLMz2p3xLz3NZ37m4Tl K9ofUJKH3rvTbGC44mt4p8+TY2d1H265t/D6naCc+zy3UVDhi7o7fE9h3nSY WG/Bfi/kuSDfFX3t0P83Q+DxbSbwqcYCr2WiwN9zi7DHYLywbx/2tvEV9pdi fIp/dmviXvrfnbgfwvnMw1/dkTfo7vyk4COdlEaM9wYN9bHoOlpX/GnRkIcr PXVdLfwmNJ7vq3TatCb6SzM/pdPug1Nnvw/XdTtRpdWxuZt17i3OhJ0cGKh7 eWy7U/Me8bpv7oWtxkx+rHg2ezzw47IrutLDnY7XPn1Z0QVGVKh4+JqS9iV6 a9Klu0qr2ac7XGt3W5n4VXzPZn4J67uxv4qHkJeO/JTmQt+hYKF/PXgKbRb4 KlgKvO3BP22wsCcO+74wHsT+Wvj3Bv5RdhXkCRnfN3+IPJhK/E8izopxTuef CH16/Lfo6bh6P+stVl4zHm02LtMt4IDubo8NuyfuOqLzilk92j74qq5dpU79 fUrGKtZ7GphUrPBdd6BtsVtHb+QqRg8W7Cj8uYg+W3/Ky6zRc+XE3nV/Ltwz UUdtr/pqfGKurnHuuaYblzVR/86oEmyS/OPftzfzSazfz/6k+0LeauT/3i30 va4o9MdfF3i2uwp8H8Dr8Ezg/4IdU/FnGfw7C/sT8UehNsI/QzS8KvnjB7x6 Gp7tRvw/Jl+fEGfz6olz7AWedPD4dk0skTc9WkntIsbKZUqNK7K4mD5k3qpf j63u6brkhE/K+PNHGVzCrELV9YX0Pac5FFo3ZKAauDN1SFJcS7Vm4JMK+cUX qaVuODtMmDhArVp0cfMHTzepzd3HfSi5wUutxndx5s1ZH8T+AcgbjXyP90Kf CfptwNMNnKVdxFiyucB/HXv2k1f9iNva5H8q/qgF/w40LFiHJD+3gsfXwd8p yYJX4uAVa/LDlfxYwjmf5JzDfATe/NICb7OV/cZ+XGekTlslxsGO+bOvLp2p Fn4YnZa/ZbzqMu9D5YdVTqiZHeLUQY92qiV735m7LTtO3TW30N5xH0PVgxbP Ljbtk6xGNTn/t/uTqH/fO5mX61+xvyvy/iYL+SPR1wf9E8BjiT87g3ci+L2w Zxv2nTsu7F3xXNi/B38YRQr/5EQWrNuy/r2/JerkpRxRH+vA183g63Hwzt6W gndmkD/lydew4iIO5r4TcfAFezyxx6rxiULFP4WqzRjTF16ru6B/ujrF98kT tx7J6g2LNzuiv79VAzoYJ65p9EqtGd0iMHvbB7VH00ef2uuz/33L+TjWT2a/ lCf1NGccjf6f4JlCXrQmbl+R/4uwxwH7orG3CPar+CNT+kfT58j+wo0+ZAL9 x/vXog7aUAet4fNb1IeRktfgpTPklyv5lUGcdCNOJmnsXelevnzu2Pf/xhVu /uW+p2arfuuiHSyy3qkrhte2m5iZpqYeeVXp0cPsf9+r5TzrV2nkSPnSv1L/ S/D0B5/kgxTwz8GeGtQrG+yVfUAZ+oJ9+Gekpi+U/Vsufd6bIaK/m09/kUU/ cok66Uqd9IDvI+F7E3irBry1Q5N/Mo5iiSOtP345pbS3cruj5jO2776xnm/i PvW2Zd3BW20vqirfcp0c5X4pTxvXWr6Q+AzBexP8i7Dnqqew7zv2tqS/2oM/ mngI/5iVKdhHy/7YzkL00UXoq4t/EX1bLn2bP/3HU/qR4TNFHW1KHbWlHphR DyLgtUPwmszPGuSnjLPlxFmixl8Bh7N8PrcfqW5j3MMo5++wXhu3NTR8IPVf BI/E1wK8zcHfHXu+Y99a7P2K/b/oY03xj7VFwXuHHD3x733WJeH/lvFCztAg cT4r0RPC+dmDo6qmzm7n/KUd24gPaaeMH+lHGV/ST/aMu/CfjM8OmrjU5ruW R2V9kvEo/VgRvA3B74893ti3Anv/4scE/HEL/4wrU/CeJuOyCPmeRNxegR+9 ieuvVoIvxhD3tvBJMnlxAb6pTt5IfjQgryQ/yrxeAZ8tJy9lfuZr/HNbE3c/ NfksR8mPsZr6I/P6BXiqge8QeKPAPwR7vIcJ+4rDj27Y/wR/fBoq/FNXc6+V PFmP+uMLj3aV9yt4VtavL9SZbdS3a/B0WeqfGzz+jfooeV5bp+Uo/Sl5zU8T V9p89dPw4ApNfZGjrNeyvypGv9UXfP3BW4j7wEnsqUyd+YS9s7F/LP44hH9c Ne8Asm7/on+M4V1gNvfSQ9T9vtzv5nDfMueeYkvfc5x+dzl9RRL9mgd9h+wf pT9lv6eNG20+Sp6T39r6oa3LUv5w9Lkz1qePdAXfS/D2Bn9j7HmCfUOwdz/2 ++KP2/inxkXNuwl9ZB3688f04evp3x3oQ8vR3/vQp26g/19CH3uYe4Ixfa4V 41TwHwS/7JO7EheyjzYj32SfbQqPRWnqg5yX+fmc/S7Iy0N+S+4zpdBvDh45 LgfvZvDPwp7l2FcKexXsX4c/svBPPc07k7zXLOa+2IJ7z3vuk/bci1py3zzM vakU99J63KtMGK3Alw6+i5x7e869E/lkTD7FwFM6eMpU9k/wf1vqahW+KzAf zvoI9l+CX0og3wx9m9G/BTyrwGcFXhvGetiTjn19sNcd+y3kuxD+idG8y8l7 tgnvF594p5DvR77c0zN4/+jGPb4/Ywf0l+L9ZDrnupJz7US+eJAvO+GhKHi2 Gvx+y0Pw+xvq5uTPom72px8xoo7uYj6IetCA/bOQNwn53dFXDv1LwLMOfPn4 yxn8ntgzgDETe6X9VfFHCd4pmmveMeW7zw3e01J4F7Lhve0G70bXGM8hfyTy R3JunpzbK94zSpAPM+CZA/CMfNeaBX8Pow+4SF3svF/0G9Xpt7zmiD5O9rGT 6UccWb+J/a2Qtx75C9FnjX5H8JQmX/uD1wP8U7AnAftisPcWo4I/svFPmubd V75DOvDO+5J3ygzG9uzPYn8W75IZxK0V8d6feJ8CjzyHR9bBz/nwc3/q3krq 3kT6iQ3DRT/RvKzo00oPFX1aG+4DxTzE9wP6uPX0H6vZPxB5lsi/hr7h6M/W 8L4reGuD/4d8LyfuMrDXEfu/4I/3jD007+Ta93EHzXyqxu9PdxaM58canjDS 8G8tTV1rp+kXvH8U7MOyNf1tgObe4Km5jwX+KHjPLax5P3gRVfBdxlzz3nVC 845YWfM+m6B59+74H/8r8D/SOf5XCud/pvP873SB/6Ei+F8qgv+pIvnfKpL/ saL4XyuK/7n+fct5uV7ul/KkfKlP6pd4tPhWHV2Zuv5OI8UvYV2F6TtcdHPX NypTZ/Uk5U/+/edp4St1G1+383jULlS5vWz+nqtXrusalCzbqsq5LzrvIfVP RW15qftp0HXBA5dvSvNBc/58qVBILVJKfI9mvgPrR7H/EvL0P4X85huEvnW3 hf588Gj9V4b5YqnWQVMbjFPyu/nc7Wi/XhfrEpN/5fVhZdvZx1bN69/XPbJP LPb3f/g9qkLzgeUuVVRnzSmm6+BXXJ2yreemw71K6Nf97dswalUZ/WC+3Zh/ wXor9h9DXuNuQr5dd6FvAfobgEd7viH47yT4VqTUiDMwClGqHPu+eozupi77 Rr2+LTp/UYz8MtIq7aqgt59/ycDI0VbfcN2xWR5BFvrlpQ+ZnXjuqKYXa+V6 oXd3dTffZsy3Zv2TVWJ/i1ghz+C4kP8DfbHgHYV/tfFXFf+vwX9Vwfd6gc3Z UQ1fKKEHDu7OTK6oN8+NjXsab6xPjay/91NbJ/XgraiTjkHOamO3ZbFrDvZR m/t/Wa4+91Rn8x3AvHeUWH/qk9h/HXlOC4X8PuhLQX9d8Gjz4zjxspnzyMF/ qchbkVK07r1bzVWrEO9H1f9668dnzNk2s/BSver42Nas8SJ1jMPqWk1uHFJf H2uescvtpLqM71HM27O+Jvt/IW/wQSF/Lf6tHyr0t3gj8GjzN5X49id+vnE+ w/HftzNCvqHJurbZRTboAwZEfVuoBqsj6x99Yv7uumr996z1rppX1fsbQoa0 qBOhtud7KPOmA8X6qew/grzzn4V8J/RZ2wn9rksFHi2/dCYfbxPvTsTTU853 Av7oA77IwJDFKxvcUqOi7XerbXV6w2Mjj66/lq4f8GFcM5OL6frnR8W3nU7M f2X9ffZ7IK8c8dARfeno7wQeLf+Ndxf8MW+uyM8E4t8kQcTXfs7PHf/cBd/c jEnFL45N1Q9c2WnGrxOX1CmPdzlcWnZPnc13E+btwTuf/UOR5x0v5O9CXxX0 m4BHy89u8F9Jf8EnTcjXQ+TDZOLt0x9xns74bw54nApvuPQ85YZ6p3D3y9cC zqgD+V7DvFzflHgYi7zHvYX8peiLhM+Kw7/a+tEVfjYu1O//8N8H+MWU/DU+ LvKjPPHnyvkuwn/B4Dttb/e757ZAfQzffsxXkfHAfgPkvdoq5HsUF/o6FRb6 g8GjrW8+4HcKEPZcxb6D2LsG++/iz574Zz/+6oH/UsE3jW8v5n8RryXwpw/y TvcS8n+jL3G70F+vdEF/yvM/Q33bTP1oQrwYED+hxJMn8aUjPpcTf0bg6Yf/ WvC9ifkE1rux/zDysm7Cv2uFPp/ZQv+8wQXjU+bTfPLLtKLItznk3zLycQn5 uZh8XU7+7ic/auFfY863G993wJfM+nD2T0OeKfI7oC+bfG+vyXfJTyHLBV8t cBD8NZ36uPaD4Lfm8PMdY8F/+9Hngn++EQ+tiL98vp2Y38v6svBnI+R5fRTy 7dBXGf3tlxfkT8n356hH/tQjQ+rDXerRBupHU+TPxB+9Ob+VxNtH6tF6vjsw b8v6yuy/jLwfyG+Mvmvof/i6YD2S9fM09dSJ/iWBeruT+vsVeV2wvxfnNYn4 +kE+NCZ/p5J/uXFiXp7vXOrbE+R5IL8f+j5R3z009V32I2XpT7rSr8TSv2xn f3HsdeZ8vGQ8Ef/GZUS+9oJfDPnOZN6Q9cbsb4K8m8hPQt9E9DfT9Euyv5tO v7eP/m8963vj30ucRy/i5y/xfpX8nAqfpBUR/FeM7/bMx7J+J/1DGPKKIt8M fa7or6DpP2W/XOGY6J8dmLfAHn/8H0m89Ca+h5OPBvBZLfjuAfz8Cz7OhF9q sP4Z/c5t5E1Gfj79ry3632v6+f8t9yPuc2F3N27qlXPcTGm6SYzy98TenScN GmWjW/Nz0dydPu103AvDz2/znjVhUF/Fd+CMbfVXesj74/mcQ38+vEidqUvv 4GJeJWGWvGdeCJy8YPWsgVuUupHLTJ7u3i/voxFlf41KqXjpgm7B5Ceb0mzD 5b01Uv9OeXd3XbwyJqpGnZovXsj7beTYWzqPGcU+KnlT7gTPcXwg78FRNnfK dpg7JlF3bHrbNvecnsv7ctTOacqyN1nPdOddD60+O/q1vFdH2fL7SdbL33OQ 8xr5Us5W9C4Hj9TbDZyZkwR+idMDu9pjr7Sr0RThh8mOwj/SD2MOC7+9xZ/S byMDhJ+VX8L/0s893MS5jOC85Lns1ZyfHOX8Wc7xEefqZBw2yLFRP+VjJTH6 hZ0akltkhk7tuSfMotcc3bsuK72MVvkrfVNWO8y4tFkZVKrnm0GnzuoW2v5w K7lVpwvdVnXNc8tkpdTbIRvufkhU2sz51MDV4ZsubWK7SbF9C6ljZnbwXLC9 ot4uYUHn1Sc/Kv2OXt89J6aY6rPL93DPWYX0CSNinct0NVM9AzNuWy4pqT/E ty/zUaxvyP41yHuN/Oezhb5jb4T+l+BJAd958L4Bv4WzsOcy9qVibwB+8GRs g3+r/SoY99L/gzmnopxPD+QtRN6Ikoe/BOZtUzYwju5/9eVi7ws6K/OSBycu CNHNH1DnlWuNB8pdy0mGh+PTlaM+XZdajy2qT9q8dLV3WI5u8dS03m/Snyvm 7huTl66poe/rYV43ZEZT9Xx22ddTHcrr02yX7S/a3UDtEBP87N2aymrDhi0i /9Suq37rMantQ6ea6gW+WzBfjfWB7D+PvO7Ir4i+R5uE/ifgMagv8NUYKPDu BP9P7EnGvoYGYnyJ/Z/wRwP8M3JQQZ6Q8R0NT/yEN4ZxTteJuzLoG4++NWPt Br++cU9Zzfh7Vc+4uZU+62peaPKhzrnfupaPZ27/1vObzvyX2UKvW8aqpXdA 92W3O+v9suYeej+zg+oZ7d29yNl++sMLgzc2d22u7i755OXzYYPVh/GTH9+u 01FfbMmoHq9CJqu3zpaJMjLroS/C9wfm81i/iv1DkbcS+SljhL5rP4X+FekC z2rwdfcTeBuME/gjseMb9nXF3hHE6Xz8MRt+KOpYkFclf1jCM+Hw7GnivyPx n0CczSbueoCnFnjmGlVelTbVWG3O2ODhqZVp9/rpb5aqPibVsLn+9KPu2WnX 3fTfY42etL43VP/85ie7uOyl6vb11ZpEr2imOvt92TL1ToD6OnPlnMjti9SL O3y/vgzcr+7fUr/Hh2t+aiLfz5gfxvoc9te4JeSpcUK+Cfq6or8beJaCr2U5 MY4Af5kIYc897DtL3K7A/qV2wh85+OeKpg5Jfu5NHbKEv4vAa3vglTHkZzD5 8YlzPsU5zwZvBfDaZuetKTVmsH5wlhjPb/Wt53DMX22weJKV7ay1qum85LbF bC6oFb0Pll/367S65cfz8bU7X1PdldPfi8+LVps13LS37odL6sgeJZyuVr+s OvLdhvlDrDdjv5RXC/mV/YW+iei/BB5r8J03EHjPpQr8efnCnjzsm75R2Nsv QNif9lr44yz++TqxYN2W9W8+dXIy9TELvm5MfagL74RPEbyznvwxI18vE2fv iIOkRcKe6/iv2ME5R27filZ/HRBjCZ+kY+bWoWqpwy9nNnXUqVsOpL8LM3yg z+iccaOD7wX9i4+plmWdH+n3dl58tMPtm/pUvi26iPllrDdhf13kFULPb/RY 4k8D/JsNvpLE7RXyfzX2vJkg7LPD3iXUqzf4Y95b4Z8lmj5H9he/p4o+ZAH9 x3fqoA910Ou14POt8HkDX8FLXeCl5utEfpUgvyLHiDhRiZOsQ8LeN3OFvZs8 bWLsCqXotzHGeI8fNmlguL5tgzkHjHsm6rP+3I+d6BCvps59UWRywAX9G76t mI9m/UH2b2BU8edz9LVAvxFxWxt8i1YLvD7gz4Rn07GvOvYGYX8o/jiKf3ZP LdgXyv7t+zTR581OEP3dz52iv1h9RPQX1tdFnZygiDo5Ab4fBN+XzRK8NRje siD/Qsi/usTRIeKoMv7oO1b4433nWs5JfrfV+4wV2o/qHbAsTH2Sn/h1WLtY 1Yzv58z/ZWzGfhPk7Ud+DHEt+WIEeAaA7ws8uwX8L7HH2k7Y50VfYEl/tZJ+ 689t4Z9ITR8t++Mv9NEG9M9L6Nt86ds6u4r+4yD9R6FQUUdfLhZ1tOxWUQ8O Ug8UeM0VXssiP/+Qn0eJs+vE2Wf8ZYS/BhbZdmK9h786mNGfsQTzX1l/n/3h yHuP/MPoa45+T/BEgO8O9cucPmAZ9pTBPsuewt4c7K8SJPxxF/8E9Sx475Bj 9RnCvw7TxbpH+L/OSCHnEeezvIHQY5cgzq85OByIx03gtOL8XbCjBfGYi52W xM8N/PCS+GqAn96rYlyP/wz4vTbjTdZ/Yn915GUjP4V4lPXJGTwHwNcQvF3B vx17TLAv6Qb5h/2Ddwt/XMQ/N2YUvKfJuKxFvl/k3uYFHxwmrqPpd/Paibg/ AJ88IC+qbhZ805y8iYUfj5FXZ+GrbeTdfvjMWuY1fJeAfwr9Ff65Qdzl4694 5pNYb87+AOTtQP5b9B1Afw546oJvLnh/gP/NAmHPhNbCvuLY2++YsH95vPCH 413hn2Kae63kySjqzw54tMokUZ/2wrObqF+J8HAU9W2qrDPUPyN4PI96bQ/P yzpqQR1Iot4cwv4j2C/rTA5xpfqIfM3iuwPzkmd3sz8febIPqIC+Wui3oF4X AV8N8A4B/2bsmY99ztg7HvvfUq9n4p9lmncAWbftp4h+aHWOqOtn6B8D6Xse bhH9VPhM0Rcc557Sjb6ncWnRjznRV8yhb7tA33OGMZd+pBD2/SBuAoibb+Rj d/LxDjzXje/u8MMR1ueyvxny/iI/E313GTeAZzj4CoHXBvwDsefddGFfbezt h/2D8YcT/kmfXPDdRPaRLenPu9BnXuM+c48+/An3mRj61EncZ649En2sD/eE qvS5zRlbgr8/+BXi4jH3mSr0IxXJNwd4bCU81oP6sE3yGvOWrM8gX28hL4U8 MENfJPrbgKcZ4xnwLgH/UuxJw7663Gdysf8X/hiJf4Zq3pnkvUa+MzXh3ekh 98kg7kV7uW8ac7835V46mXvVSsYQ8FXgnlOUc2/Dudcmn3aST738BU/dg6da wP+yjso+wJRvM+bjWX9sm9g/DnnZ3Ad+0V9v5p7VBjwnwDcQvH0Yo7lfJ3Iv 7Ie98l64F3/kcS801bzLyXv2c957enEPP8H7hg339Du8g9zhHn+T8S36n6N/ OOcaz7l6ky9HZ4h8CYKHZsNDPahXFdsIfg+mbs6tL+qmP/1INt/LmV/Fegf2 l0LeZOR7kJ810f8IPMvA9xW8FYgHaVcUYw72tsH+a/jDA/8UH1TwHVO++1jz nubCu9Bu+f7Iu9E3+X6E/OHIl+9Olzm3v+T/d/JhITwzC56ZAH/7w9821MVG 1MUL9Btj6Tdq9xJ9nAvfY5gvzvrXWWK/rAcmyK+GPj/eBVLAU5p83QDeeeA3 xJ5w7IvA3mhGN/xRDf+k/iz47ivfIefxztuRd0oHxgXy/ZL91zXnco14N4UP 7sEjrvDIBPh5MPxcnD5gNXXvKf3E/kTRT3jQp2XRp42m/93Ht8L8AdaHsn8Q 8m5TV2/yTiDfkUeDJxt8ZcCrA78j9mzCvrrYOx77rfBHfcb+mndy7fu4j2be WPPeXkoTzyM0POGo4d8fmrq2T9MvLNX0Yce1/W2vgveGlTMK3scaa/7/GK15 P+in+T/FWfPe1Vjzjhiv+R/nk+b/nt7/8b/C8NyNqys7XLT2uX89solrpdaf Xuy1q+fi2EYdHODW4Ydz20rLx974eaphu6H1DTbefPayXX56RICH7XzbkD+W V6eGfLQ96ZAxY7ypo9281ovdS52cZteySJXji+8u+fct5+V6uV/Kk/KlPqlf 4tHie9PZf33f65kOofPSe7YcUUI3Ye7B21VGNlS2P2t7uOknJ9248naBe45P Uv6curB009Plug8bQwwHLPgfvpkbmjpL3a9r2mP5zCDlnNL18qL7SQHRyqfu 4juM+XjWb2K/UwUh7y7y7XyEvq7zhf4xXQQerf9ugi/P8GnXqy8slPMWG9J3 FOmquz7ffsvJdiOUEW1DHMqHbNCV2fewm/HZ7UpuzS+dz4y6o1Rt0Lhb4ZlX lbGvjs1cYX9Fl7tt5qhXa27orrwU32WYD2d9tb1iv2M7Ie8t8sdZCn3Tygr9 duDVnu9p/PcUfB822x1vlDleWXDtxso+tVbolo4+c/Bj9mmlzMIVPe6uTtRV b791l2HgN92f0eeHHxv9XDfvWXyRZ40Kqc8nWb885Gqgjud7OfNvVLE+foHY P3WMkHcb+Q+2CH0LwdsR/2rjrxf+n4F9ldnvvze4uZtFoLJp0tRHl9zu6KoN PeeZaJmsKzf+UW+bu4XUkgY91rbIK6v+zmzufPdcbfVNRN24AP+m/3P/Ft8D mP8zTqwvMUzs954s5F1C/nn0paI/Ejza/Mgk/nI534f4zwt5Jd+EJ5fb9lrZ On95yLPvdfWbO06K8Qirq3dd6Gsxsthk9b7Z2OtD56xTjzSzeWN23V9N5tuT +XtOYv1k9n9CXiDyT+DfxcTDKuJXm7/uxPfLPSJ+9nM+d/CfPfJnT7HfmWlf UX3ayKdV/fX+6rITH+anbtCrIUcq3Rmw997/9B3+XgcfP1RD+V7KfBbrfSaL /b2QNxT/BqNvHfq7gUfLL2fJx4HEezLxNIfzMsR/Kehr1HVk21YR8WrQi80r r/18pbrMaN6rxqT36o2UAzluTh/UrnwHMt+E9S/Yn4Z/vyL/GfrC0B8DHi3/ TYc/ntYX+VmN+J9BfM3i/KR/pP5gs6r3J41/r4YMjHhdpMJz9eE+4y8hC1PU s3zLebl+Ofu9kFcc+QPQ9wD9q8Cj5ecK8F93+MWDfM0hP2S8neE8pb8knpE5 1ttP1j+vrtibscev4TZ1NN9yXq6X+6W8POSvRd8G9HcFj7Z+LICfywQI/is8 WfBLPvl7gvxIIf7k+abgvyXg88u82ute4CC9/E5jPob16ew/hrwI5JdFXxT6 j4BHW9+Ggv8w9mzGvjfYm4r9p//DnyPwnx/4xmj8KeNX5ttd5G1F/jb0zcgU +jdo/CnP34142E18lCdevpYU8TOdeFqiic9jxN8ZTXzKeD3OvMw3Gd8jkHcN +ZXRtwr97TXxKfMpkfw6Sb59Jv8yycdW5Hs6+Vqf/A3U5HuMJt8lPskPks9C kPcU+SbUtyz0v9fku+SnoqcFXxlSv4tQH295CH6bDd9dgz+foG8R/pHxkEb8 yfNdzLxc33yq2D8VeTuQ/wf+bIj+wqcL8qfk+/bwvz31oC/1YR71Ipj6sQD5 PfGH53/UI/ntzfwZ+HI8+52RNxj5Juirgf7Smnok62c69bTIAlFfo6m3H6i/ vsibQn2S56UrIeJrOPkwkvwN4bsR8bee9VXYb4m8fORvR18x9N/V1HfZjyj0 J4vpV87Qv7xm/2TszeV8vhG/j0eJ+L9EvtaAXyRfJDEfwfqP7C+HvHTkz0ff dPRX0/RLsr8bQr+3nf5PrrfAvnGcx2n6x2ji/ZWlyE+7LMEnu7YL/msDv1Qi f7vLesz+D/Q7/w91Zv2VVdf8f1TsAhuxxVZsUdRzxE5Q7C4sDLCxURS7Awu7 EwsQ5Fxio2KgqBio3NgFCjb6/axnXvtei7O+zx/w/LTXufbeM++ZPfOe2fvK jnxn9M1Bf1VT/6n6ZR/6587MV8SeNPzfk3i5TH8QQz4+8hH+SIDvPsDPk/lO Yj5QrWf/F/ozFW/J9L+N0N/M1M//r9yPVu2q2XdtmdF1G/YblaHogdjGQxjV 7y+GxtofTUiOONIw8MSTLqkRH2b3mfHHN6jemwMva1g/ttEqlru2batPEa1N HeupXsOvOpV+M2z17F81jUXdSidala1tBKTdzpZQzFL/nGPYhMCnrlrrw/PH nOnVT7Nr9epooxZLGlx7+izDrxqTjbmzF7zaP2CckTGo3I+TMXWc44K6VT9V YJ5mXfru3BeltxupJwIaTasS5jxj6rwhv3wOao1z/d7bx32VkVD7XMYXPsUb BhSpm+9HjL/x9MuS72vbbdWi9jc46Jirf8P+bx73mvxwo2H3vMfxm832aF9O Zfp+PWBWQ/fX8nsX1qvfcyEnP/KVHHf0xpcSPErvRnDmAr/C2fqZ2FX6iNir 7GpWXfxg4B/lh434LR5/Kr/1Oyh+dmwk/ld+7jxMzuUe56XO5Z7p/NSo5rdw jq841wuzPLo6rLfVQhht3iwIGLqwhlGxnU9zr7+1jTFND9zptr+TNmp2qVZD mrlpr/MVH9q2sLcRcrrvwflTfYzV2eYvOTNrieaTP2PPiCvLtfXngs/1PHrS qLNl1ryhE85oJXbcXd2s6C2jqteYtXWrHtYKt81fvle5c1r/n+MdvheMMH41 KXJszrp72s4ozzOfbS8aFr7//pD5yqw/M0b2p2wXeT8DRf4w9J3LJ/o3ZRc8 3mGCr0p+wRsL/kfYcx77RmKvg6/YX5SxI/4t1yh93Cv/N+WcfpAHHZBXAHnD /tqt/BrlrvVgdLgzYGWnB+ON52k9p3bNPdroujeuePvRy7VOY519bP0DtFi/ PDEzt0QaQW13z7vdY48x/OZtq8COc7TbbZpdCdj9wChQeei7Xz9fa11ztjzW dtZ1Y9Qbq/NhgZe1tcszFB+2O0a7tzP6QpEvTzWHdessc/bGaaV288186FtZ X5H92ZG3DfnHb4i+5Daiv+BcwfMHfB/B6/xH8O/HnqfY95JxOPZfxx+diN8k E0+o+HYkD6oT/9985Zx8OacJ+Msefbcj6/s9T1imtT0n4+IiY7OvnRtkVH0x fEfRDSGGp/PoQk9GnTXejFv2ePLLGM2156DUsv0yWYxWtnmX7k3THCsOrZn/ uY3FcUiLfCP3vNdSdnze61i0lN6ng9Wa0nX+GgNCrj+b3b6OfuedW/FVLbJY evBtz3y+nbI+wEP2P68g8qYjvxT6Fij9DQTPM/BdB+8V8G9kPIx9tvg3Afv3 ELdb8c9eE68q/rDAq1Pg2dLE/z3y9Rjn+GKPnONS8BwCz4b9J7yb1Lyl5WPU S8Q1m2uXz5LtW9TTQdGvjGpu284W/vpQW+eRp41lTn5Lxe4JX2437aMf72O9 c+HN2vr8XGd3BrvM1pPu3Flw7XYvvc7GlUezPFmlV3tTu83ZMkP0uny/ZH4x 6w+zvx7yJiD/YxfR5/ZV9PcGTxj4EhjvgP839jwhTh3Gib325P9W/OEI/3oe SV+HFD8/9xUe/0Rdmgav5IdXQsmPp+RrX855PudcHLyVwatF9Midz+qn1ihS xnbDM3d6EzpZT7rV7XqGDWP034FBryZ3OawXmHr10Q/fzfo/IT2CPEde1Z/u qNRvXNBJ/dL5bTfyLrynx+Wsu7/TmTP/fj9jPpH1av8f5L1Ffg/0uZ0V/VcM GbuCLylV8OYBf3/sKU3+r8beK9jfF38MoL7F+Kav26r+hVMnHamPUfB1F/i6 P7yT57LwTj/ypzL5Y00cNG8rcXAfezphz6Z+lXyanjz577i9x/llMyY81hsc OVClz4x7+sLVjRvZh7zTv+aaV75zoRf6nG5B5Yrpn/R+T4sX+rH69b/fan4R 69X+bchT8jcz9kT/P+Dxcxd8w8GbD/wjsaftdbFvA/a2xf7P+GMi/nlUKn2f o/qLBzmlDylC/zGIOviEOvgoh/B5fCXh8/rw0lV46Qb5VYX8ykmcZNwiceJs trdjnkYzin3UNzKuu9ZoXf/Lr/WacUP6uh9/r8/cfD3Os8kjvf+Xj4s2n3/9 73ct5teyXu1X8pR8pS8D+vOBR+V/KHjfgL8d9mShXsVgr+oDfPCHG/55mDN9 X6j6t4P0eUPo7+rTf1Siv/CiTj6grlaF7zPB95nuCm/5w1tPyL8X5J+KIxV3 NU3+GJ29deYXOW/pnoxVW77stCvrdv1qzKY/lyZF/Ps9ink1Kv8r/5rjWuW/ 4gPFw8nwbAHwr8Ke4dh3GHsHYP8i/FHcTvyTLSV9H636Y2f66Dv0zxfp2xLp 25zpP7rskv4j23upo32po42oB7WoB3fgtcvwmjk/VZzNIM6umfw1Z0LxIuW3 DtdnMi5irMK8Wj/DFLdmPlC8+gA8tcFXE7weqg/AHlvs24O937D/I/5oxb1j iuneocYq+Lc26/bi/1wuIucS51MJPUc4v1HgyEo8Kj8+5vyVH828p+JH+WG0 KQ4rMy7Ef9X4rmaKS5XvKr7NPKr8+Bw8Ct9f4rE/+B9gT3b61kYrxF5lv9Uv 8cdH/HM8Jf09TcVlIPm+hrgtBx/4E9eT4YvHryXu/w4WPrEnL57CN3PJm9zw kcprcz3ZAJ+tIS9Vfqq8noV/oog75S9zPq8z8eRCU/1R+m3B4we+SPDmAX8S 9iS+FPtGYu827M+NP6KLin/W5Ux/r1U8+Zz6UxkezcT97T08G0j9ek+dWUl9 i4en21D/VJ15TH1UdWajqU6rerDBZL+Kq9mm/FdxVtPEgxtM9UWNql6n0Q+l gMcRfJPBm5v7QBD25KTOWLA3K/fXKvhjMP75ZXoHUHV7Hu8AOY5JXZ/JvTic un+S+11yrPQF6p7iTt/wi/7xTyfpK65apF9zpe9ow6jsU/2eiptEUz26ZOLV SyZ+SDTFuTov1fd0RF9bxpn0kb9dBV9t7gcDwP8Me2xjxL4Q7D2A/coff+l7 1pneTVQfWYr+vDl95hj69630oZ+5z+ShT42j/y9FH6vuCa3pc3syxoLfvqPg V31ySeJC9SOzyDfVh1eHx+5TH2ryreZVftqwv5QpD952Fn33OE91v2rCuBe8 DcAfiD1p3DPuYq8P9rfHH+Xxz7fD6d+Z1L0mivtiJ+49N7lPOnIvasV9U93v L3MffcO96hVjBPjagc8gTttz7v3JJxvyKRmeyglP5aBeqfu0M3W1I99/qA9p O9Lz8jn4xR759dAXg35v8PireyF43zHOwp4jpveLSth/AX/UwD8XTO9y6p79 gveLLdzDr/K+kcI9/RXvHzu4x+9V7yPoz7pP9MdzrkWJ28vkiwf5shQeioZn p8LvJxOF39u4St3cs13qZn36kSM75PswdXX1K1k/n/0+6n6g3kHuiL5L6P9B nG0C3xv89QH8M7FnHGMM9sZjfxD+WIR/bpneMdW7TxPe0wbyLlSX9zZf3o3U +AD5ycgfz7m15tx+kw/nyIdx8EwgPLMd/k6jfi3LLnUxkbp4m36jFv1G4wDp 4zLyXZT5Uay/xH4L8johfzn65qDfFTwh4CsPXg/wR2LPIewbgb3ejAXwR1P8 U9L07qveIZ/wztuDd0o11mG/8u9ZziWAc/lJvHsR7zPgkS7wSEX4ORl+zkLd c6bu9R8t/cSgYtJPLKFPi34rfVrlq9L/JtG3xdPXFqX/mMH+2Cki7yj34Pvo a4Z+O/A4gq8NeF+CfyL2LMa+ZthbAvvrKX8wnjK9k5vfxx+a5hub/B5jiud3 Jp6obXrn72aqawmmfsHe1IcNTk3f314x3Rt8TfexuqZ77hHT+0E/0/8p10z/ u0Sb3hF3mt5nK5jevYP+y/8K/I90kv+VgvmfKYT/nUL5H+o0/0ud5n+qMP63 CuN/rHD+1wrnf65/v9W8Wq/2K3lKvtKn9Cs8ZnwpN6NtVxzMr2Xoee6Ecc/J eLU7oMmkEwM06ytWG7KenGZ8DK/ddfOpw9r1SNcrG+qdMArv3tj7eL8Ew/Vk XFjnpChjxYw+f195PtOO3bl1fliNBK34dPnOcULmR++S9Vcssn/BGZE3+7LI z7lH9HmjPxU8Zv9dZt7HdedU40hvrXe9VclZQuYYFaJ3uk1x2KIdOZvjQ1Cd aGOR09RTPRzfaS2zxM5xvJVdr76u8YlX+T5o+aaFd87ROqPl2NVWI707Z7A8 nyLflZnvmlnWB9aT/fMiRd6P6yL/HPqauIl+u16Cx3y+X/BfXta/KTap7YVB e7U2xw/7NGh63rjuO37z00OfteEXU2vHZvxlHO569kaNrNUsJ6pUuVhgXH7L S5dnu25Xc9J3eDTo/H1zE70u300qy3w21vc6L/vLzhZ5Sr5LcdHngX7lX3P8 Ned8I7BvJPuPJ2dqvrbvY82qfvkpIaPzWJI/HXuzN6SAPijiwrtSdxvpIY4j /hTs7qxfjCxn02ZCN72Rx9gjN0956DPPyXeNGjJ/LVzW9/oo+28gLwT50ehb wvltAI85PwoRL6s432f4zwZ50aVfRVw7WFff2aNbbM2CAy2di2zpWdF2uuWy /3yn2qP99Fw3SzWNd9+tjxn7MGNqr0N6Nr7bz5f5+4VlfX/262VEXn/k18S/ VYiH+eAx5++vsxLfkcTPlAtyPhOw3wv5I38EFLTznWfZkuXzymOvD+iNSlkt CY24oE8o97XsLZdz+thC+Ze4VgrV1/Htzvw61i9g/xrkhSC/KfHkQPyvIV/N /LKQfDxIvCd1kXhqc0bOKwl/NEXfm8rTVl66e0Vfse91tcrTDItlVqGwbZUf WbR8KytmbP/IEsx33F6ZL1FF1p9jfyTyIpH/D/qOoX8aeMz8lw/+MNZIfnYk /pdUl/iawvm1xz+b0D+h/8rn7a0fWPJ52VW938XQAzIHng4qdVsfw/c85h+y vjf7GyKvCfE9AH1W6B9xXPCY+fkkfFdyqvCJB/lqTT5kJt4cOc9v+KsreHIu 2ma3y+GynmnF8NvNrI7p2fhuyfwT1s9if1nkNUB+6aai7zj6d8DH5vqREX7+ GCX85we/zCF/15Mf5Yi/apzvJvz3d7ngi48vduPuzQDLR75XM1+b9X3ZPx55 OweL/EvoW3hd9AfcFTzm+vYVf76Hn2/iz9nYWw77G+MPe1/xz98x6f1phz8d +b6JP0/jzy7sz4c8F/jMH39eol6cmJnen+r8dxIP01ZLfIxU8UL89CeeXIiv ZOLtIPH3DLyL8N8b8G1S8Uu+tWB/T+QNqibyUyqKvl8rRf/Po+njU+XTBvLr PPmWl/oRRT5+JT+9Tfmuod8G/5blfL/jv+/Y84v1s9lfC/6tivyS6DPQv9CU 74qfcpwTvuoJfyXCZwupPyfhOx/4T+GtjX9qcp7Vib8GfDdk3pX1Luz3QV6l JJGfD33j0b/NxJ+K7yfB/7mpB9WpDw2pF62oH32Qnw1/DOf8MhBvS8iPtBt8 M3+S85jE/pXUt6LID6P+LaMeXghPX49U/bSLknr6jPpa/ITU23yfpf46NxB5 fagfj6jXO4ivuLOSD4fI39rkx0zmn4XJ+uqcT28nkbeF+v76mOjbS38x9HL6 +q76kR70J7vpV07Rv6yjPxiNf8fR73ygfrgR/1PJ1zJDhF8y8p2ZeW/WR1OP V+K/acj3pT+rif6Fu9P3S6q/c6ff86f/y+Ek62fh30/Eww7q/0jivRn8UHm6 8Mk0+G83/HKX/P1oLetLEX9JFpFnh/yLdUXfDPrfIz3S95+qX552S/rnL/TL S/GvK/2VfYTESzT9eH/y0R3+sMB3IbHCzynUk41HZD55p6yvTH60JP4yIr8S /nsIvp030vfz/yv3I+5zpyyDByw8/NdKq+8ho/r9T+zQKV/2lDFsin5oO3Bh OYN7YXBq6ZUfvwW30CK/9fC5He6m7o8hyx60Dl563NOoO6p4wdc7PdU9M/TS kK1PK1dYqvUo12p5vqOb1H30dN55H2dcObvHeHfjdZZj+kl1bw074Ru9K/7U La1+l3XXfifGqvtt2MuPC3PV3vJcO7bcvXuBjiHqHhw+yDspp93DWKNPy3z9 dr27q+7L4edL7H+YVvCx4Tq2cs2QR/fVvTr8RzH53b6FrFe/7/ESOS+WiXwl pz16R3QWPEpvbXB+ixb8Cudx7CpUXuxVdoXhh68jxT/KD0/wm/t38afyW9cy 4ufL+F/5udo9OZdFnJc6F1vT+alRzfdDTg72zyg2Oqn6lxZaDsZRxXqfWLtl uNEzOGzxyNujjRzXr4ztsWaplvJ4jd+TAQu0GTFFC7xK3GesHT08R+0hp41+ Y9r1Xd7mqXbt95oF/q0vanOm7f5W8kGCUfFAm+RlG5K12l7dn+S5n9HyJn7R 7ENP47SJ76rbfvj8TXO8ZdPfOccno/O2JN2ncSZdy7nxZ9/oZKPRVvnOdEPm L76V9d+fyP6FY0Texv0i//NU0dfil+i/AZ46YwTfGfCeB/8m7LmBfRWKi73z sf8LY0v8890U98r/A4n7gZyP8lc3/Dcn20jr4CfLtZeMHsfPj+vZ5Lix92mx 5wdP7Te2e2V82D7vHe3whVtjwnY/0PaWPf0+v2uyUeJPf9+37T4bEyquW+/0 M6v+unPWkQE1ClrGL5s+7dnhsvqrHYv/+hf9bcyxOzlwxNRT2p6UdrHfE2z1 JlVunC8aU0J/HDHKa49TAd2pmnyf+SLzDwfJ+kXsz4y85sifWUH0jU0T/b/A 0+Ki4AsDbxT4j2DP4uxiXwnGDPhzL/44gn9emHhCxXdeeGI98Z/9iZzTgWty TrPRNwp9AUs3jBs5LFobynjKuuW7zmPfGFd23Xy3Ivy3Md06xXpNiK3+ubRD trG9Muv9fH5EJRVpbNlSv8+VI8/r6u063HnwI397S3DBGpWDt5fWX/eMf3br b3d90KHIbl2uOlmcd8Y3GhvvqQ9eE/YqMUWzZOB7+EGZz9ZL1r8qIPsbtBd5 JZBvjb4ZpUR/jsyCx2O34HPMLHiVHXbLZAzFvmLPxF5n4nQO/viMf7aYeFXx R3d4NQl+CSM/mxP/24mzs5zjX/x1GP9t7Vrt8LDOhfVtjIurl/rU6Y2bZXXK +1Le++tYWt47/6xQuxYWx7sHV9xb0t1SNGtk9sSPs/XX/2yvPP9FR33YDtfN Nu7rddeXu168Heer77Orl71NwV366r8dv3zvvUA/y3dV5newfh/7GyBvwx2R Pwp9L7+I/iDw1Oom+L6D8y34R+PfXN5iX3ni9gn2F4UPOgwV/7w01SHFz12o Q5Xh7zR4xQleWUx+XCY/ihNn3sTdd/BOBq+Da/epX5PdLBvbyxhZbr230XOt bsTOmflz/zL9/e8dL04WCdWDs4+1e+kYpCd08f6Ta/953efCja+vi0bo5RZ8 y9r/hUXPaje+jWPkWb083xOY/8b6vewvliby1iD/A/oedRD9U8BxBXzlOd9T 4N+IPdUcxL572LsK+/3h+Zv4J8hUt1X920Od7E99PABfJ8HXI+CdBHjHjvz5 OVnyZx9xYCEOumPPdez5+fPBWGN6hP6UMWFaRpvcg47pSbsXP/ve5Yy+sNTN bVMG3bFUWrBi+sMXoZabthn+Gd7uoeVN8pLwdWlRlli+MzI/m/XJ7H+EvDTk f2f8hP5N4BkbK/gegTc3+V8Ae/zg8XHYO5z6eAx/7MA/6zun73NUf1GLPmQY /cdN6uAh6uDy7cLndvD5e3jJDV6qkCj5VY/88iNONOLkCPbex967VWuMtmt2 33KH8cDpZplX5gux7NoX0m3hg5uW7xcHudzZd1Vv090rR6tboZYMl+R7IfMP WK/232DMPl3kh6KvGvoPgKcO+EqAtz/4I7AndanY54S9i7C/M/5oin8WL03f F6r+bSx9XgX6xFv0F63pR1Kpk3scpU6Gwvc/qQ8e8NZYeMud/LPuKvnnRhwt Io764o/cYeIP7WavxTvOR+sujKOHToh61TNYT82xyssp0xXdj+8GzLdizMz+ schbjvxs6PtO/o8CzyrwtQRvY+rVPurb+zZinw99wxbsb0o/lgf/1DH10ao/ 3uUtfXT24tI/h+eQvs2Xvq03/UdaVek/bKmjeaijFurBHupBYhHhtT7wWqHP kp+fyc/ixFkCcWeVU/y1CH/lcnw2K0Oltbo1o/r2Zt6a9e/YnxN5ych/Bx/U QX8WePYo+M6AtwH47daKPTr9VmaL2FuFPtYhl/gjmnvHrnHp7x1q9CMe33EP qXJT/B+MH78Rjwvo4ypyfvXB0Y/zPQbOfpx/F+yoR3z8wM6JxM9T/FCL+FJx N5KxHP5bwPd8Rp31VuT7XOQ9QX4W9BVA/3TwBIBvKHjrgb/nYbGnQmWxr0mq 2LsWP/64Lf7wKyn+qd4q/T1NxeUQ8r0lcesGH1wgrs9vE75YXVfi/jR8ovLi EHwzgbxZCh/9JK82wVebybv78Flp8tKBsT7++Yl/P5PXNvirMfO34cebjBeR p3jjH/S9Qf9B8PQBnxd4h4L/Wn6xp8CrE/+xb+NWsdf2g9g/9pH4w2Ws+Gfk 4vT3WsWTp6k/reDRSOrTPnjWj/r1Bh6uTX2bDE/fov4Vg8cHUh/rw/NJ1M/H 1JlQU71R/t1NXD0jrjaQryrO1jA/n/U32R+DvGuMVr9EXwb0R4OnJPiiwBsI fifsyU0dnYW9W7E/An8MwT8HTO8A/75P0A9FUtcT6ZeuUffzc7+7TF/Qooz0 W33pG/zox87QVwyhXztL3xHBqPoRa+y7QtwkEjcq/xuRj5XgVVe+GzH/lfUB 7K+NvFTkR6MvlPEYeNbQl6n7QQ/wX6V/7IJ9WbC3PfaH4I8t+Cf2Rvp3E9VH 3qA/f6feUejft9GHZqW/b0CfOpz+/yJ97EPuB5H0uZcZh9AHPwH/QeLCjrjY rvoj8s0bHvOHx75Qr1bz3Z/5fqxfzv4syBuM/HnoG45+V/B0YTwF3iPgv8H9 bDX3jD3c3zpg/3rud7FzxT81yqV/Z1L3mhKj5b64i3vPFe6TtnfkXtSL+2YL 7k0B3EcrcE8dxDiee5cb99k07jnFOfft5FMv8mk5PKXBU7Pg/zbw/zXqajm+ PZnPyvod7A9rJ/IaIr88+lyIOzf81RT/rec+aGH8uUTs8ePeO5j3hCrcCxfw LjSfe/Mm07ucumd78i7XLE7u4aVD5H0jgHv6fN4/rE/IPf479/lH3PN/of88 cdqOuN3EO8Ej7kHq3pAHHvKE34M/Cb/3om5erSR18xb9yFbqaCB9QracUu+a s38SvH3cSeQ/Rt808nUEcbaKuLsE3qvgb4o9tRiP8q4VwzvNz1Pij9q8U+T+ lv4dU737NLKX97Qk3oWKF5f3trK8GzkxpuDPHNEiPwNxmo+4XUv+l/GSfJjE PdUanmkFf3vC39b0Aa/eS11cQL9Re7v0G7Xp49bTf+RiPo0+oiZ19eNokffC XeTXQ180+tNGC55G5KsLcXaZuOuLv6rgv4G8F45lfGUv/gjmff2MXfp3X/UO uZJ33pm8Uy5lfML75Un8O5Y4HUfcOpP/XeCDVfBqK3/hkS68d3SFnzdQ9wZQ 92zpJ67QbznHSJ92lj7tCf3vH/rfj9wrVrB+/kPZf/uDyHNGfk/09aE+jITX asFz18nPTOD/577Y40PcXcdfmbHfif8tWjGmDEr/Tm5+H59pekePMr23Pza9 yw8dlZ4nppje+b+Y/g/wNPUL30x9WA9Tf1tgfPp7wwXTfcxYlP6e+8M9/fvB XNO7zF6H9O9dmukdcdjX9O+zhUzv3sUG////V8hZ78hTm7thdfJ5H1ncp3u+ ehtntZnZcYCL096WvvN+nG5Vv7NPlp3bhlZsMPBQTK6nsf80iC1dPHzq7anO FW3KOuYJ/eRcclb2IflrujRs2NanVQtjbMN8u9t2fvds9r/fal6tV/uVPCVf 6VP6FR4zvndvzxetWeVl4wtbxrR3fp/VeDTXPjZ/4epateARJ+72bWNcOPtq aYaDkzWPCY0K2lxcbjzdGx/X6EOwsSrq3r6Gv3cYQ52mvtgWGKLlr1/205rb Fm0g3w7Mn2X9o/Gyv2qkyOuK/NHzRJ/nVtHf+J3gMfvPmvnlbfbvOhpRSTu1 8/7iCgs7Gv0PjniaZ5enVmxa8OhORTYY/QbHlyq/MEibteljwwrN72vH9k/O dKXrRe3Dr0Pl7v+ONvKO7ZN/a+Qt4yTfXZjvxvpc7PdD3kTkJ6Eva1vR3wg8 5vO1x54g1s927zpj+v3xmv2Hv4P3DllhbL6ef2Cvsme03YfnHF1ZMNYIKtTD M3vVP8bjzWtLb3ueaJRtZpO/1f0s+oCrLc6VO2KjN+C7LvNzWN+L/QWiRZ4r 8l+jz3aX6F8HHnP8vTgl/n99QOz7/F7277rS+PXG7/u0iQUnvl2gPTS8vKfM 7vjxlFZ5X6nBnmE59NHLVw79mD2/bj2hxukGm6ro96z2d9z4ykl35duf+V97 ZX25kbL/OfKeIt8ZvF74tz7xYM6PgsRLf87jEf57hrzJz47syl/1j9a3X6eX /tGOFq8pqQvXvnW2ZG/bsXv56LH6iD45M/d+vULv5L5sgtOO9foovu2Y/+kj 66uxPxV5OQuJ/Kb49zT6+4DHnL8W4jt1kMRPA87ntqfY/6uvyO9bKFvlzBXq WJ44jnvwsNN6PcVlaveEa2f1epdyVJxtc0d/laPNp/6VHuh1+f7K/EvWW9hv Bd57w0V+HfQloH8ZeMz8cpB8bES89yOeTnJeefDfbfQdOVotou3raH3o4HEn tke90Mu08TpX7cIH3dc/6mVCwMd/v9X8CdY/Z/83/BuH/D7oa43+veAx858X /DGd/PQl/jcRX6U5vy/4R+n/5L7zZ97YD3qFhFTPBVqC/qTt3QUbO8bplfhW 82r9N/YXQd7rZSL/+SbRF7hP9O+9InjM/JxQT/hu90/hk7imkq8dyAdP4q02 51kKf1UET58Ck14sn3ZaL+y82zb4/Aa9P98Kr/KvigcVv/fGi3wv+OHVb9H/ Av411w/DSfh5qbfwnxv8kjuD5G8P8iOR+FPnG4//bMA3Ifehg94/BlsK8v2U +VmsV/HrjryD8IM3+hbBv57UC3N9uwD+7tgzFPsU33hjf038URr/qPPujf+K g28g38rfDqxX56H4YRr+nIS+gWmiv2j99P5U53+YeNhJfIQRL3mIz7LEU6op Pt8Sf+XB8xj/KfzvTfGp+KE48m4Qn43R1xD9VUzxqfLpMvk1kHzzJf/KwOdV yPdY8vUg+euBfuVfdb6lTfl+lPWKz6Yj7yv5vgF9k9F/z5Tvip+86C86UX/3 w2dZxgq/6fBdXvjvEfo+4x91ni+IP/Wt/B/Heiv2t0Re0HiRb0HfNPQfnJCe PxXf14X/l1MP7KgPVtSLu9SPHsiviz+Kcn6KD9zIj+F8F2b+M3xZlf1bkfeE eveG+ueF/oKmeqTqZyvq6QTqa23q7Xfq72PkeVDfSxMPLYivjuTDXPL3BN9b mT/N+U7xkv0xyCsRJfKro289+iea6rvqR2bRn2ShX4mnf/Fgv+pvwjifucTT k40S/0Hk63D4pSvfO8kPV9avYP93/NcB+aHoS6NfG2Xql1R/V59+Lwf9XzLr g7FP9YtDiB9P4v3AXsnPin+ET47Bfzfgt2bkbz3Wt2D/WOTNQ/5j9GVDv2bq P1W/7Ez/3Id5b+zZif8diZeZxLfih2OXhT9mwHfT4efb8PFg+CWQ9c3ZXwx5 7sh3QF8z9Nub+vn/lfvRqin2B+2OjKzrMf3C/aHN7zTezqh+/2e028WL4z5H 3K65vfjE7qkRoYM3Tf3T+2i96k3+samyPr/2+M3T5BEli2s9xnsNvl0oyilH 0wfBgQ2djNg13pP6/nQybnltnFB8eUT9cK+54WdXdNMOxW05/7TMMC0tvvW9 G48WNXBZuOZ3xcSZxtSQwjnjf/kaVWu39Z9xpbbzhEpu7hnHrNNK2z8/UiRk j1Fk9cjRrx+HOh+Z3tO+edoxrWfAmUdVE1cZKYe2PrSzKtbw1uNP15ef2mhc rTZ7zNvCu7VlJbWN+qy+Da+VKqYVXr/bGNK1w/vkxQe1UQVD3ydmmtlwGr9H sl79bvdE5KSsE/lKTgB6fxcVPEpvHXBWA7/CeRq7CjwUe5Vdv/BDKv5RfhiF 37q9FX8qvx3Bz91rif+Vn/Uxci7POC91Lh9M56dGNX+Hc3zNuQ5482vd7iIF NCfGuff9vv5xqmscHb7Q3yu5gXHSZ1ipG496aImD8o3Z7tJVq148/NmxCZON k7b9e6/MP9c4fn+db/FB27UhefK9LrZkgzZj6LsONezCDcfLAXtTv5zT0rqX 8c4w5a5x+8cln7g6Qdq1DwWOB3WL0vQ07/29O50z+pYtt7759zht11ffvw7t rhgN+XZmPv9HWT+B/c+QZ4v8NuhLyi36k8Bjm0/wjQFvocGCP/cUsaf8CLHv NfaGYP9Gxnr4t3Gt9HGv/P+EuO/O+UThr9nIy5g06FbO1b00G8bqR4+tzhUz w1i/ekuj62cnGjkubz/c9tAmrVDXtsaOCru0aSG3TtZdf8l4vjty8KvRp431 /pGpLj2vaFuyN87U+kKCYdlte/TciM9a1srj8kw9esto+XLMzSXnz2sbiq5a t3ByvJYlbVbJXavfavPPuPSv9DVB28r3WOb/YX1YJdl/DHkzkV8Xff3Rb4Bn JPhGgfc6+E9gzwzs28b4Cvub498V+Gfl2/Q8oeJ7AHlQmPjfS5ztIe46oa8q +ibYDJ+yffB6LZAx46H5lX78DjX+DKzrv/f9RSO/zezvv/6e13rYFvy2dtFD LX7Y1aig8rksk1PtCqz/ba1/mzz37y2nIpZpU/qWj/merJ15OCE+14ZKekr1 cSPmjshs8fYNPNeumaYvqnmwreeSXJbxfP9mPo31mdi/C3ldkB+Evic2or+U reDpO0jw9QVvKvjjGEOwLxx7KxGnafhjOv6JN/Gq4o8keHUr/PKd/MxE/Lfg HN9eknNsCp6i4Onw/GvC+/HPtRyMLvt3JN5aWcwSd39qQtGlaUanMU5t+5Z9 aMyzu37stkdpS/MNFRK3Bw3UjYo123awbqA7uDxaXumOn56m9c7wPHaAnnPi m0uHsqzVn0eu3RmW11PPzfcP5quw/hr7OyJvOPK3Dhd9ruj3AM9Q8PkxKn/O wJ6hxOly7B2B/fXhgxT80+Zh+jqk+LkoPD4Z/o6FV67CK7XJj9XkRzjnvI+4 Kw9eR/AuOFtm3+A2hw37OjJ2jBsVl8Nhuj7kRcyKvwHj9F3H55zKefWoHhQx 5Lrvg616sWH1w0M9rul+AZrbg0rBumtA/y/z3t3Ta3m/CBw80vj3ey7zav1R 9u9F3iDkD0bfvm6if816GXuDLwt4FxCnu7AnFvvKYK/VA7E/BH88xz+5TXVb 1b9E6mQe6uPvS8LXFeBrD3jn7zzhHRfyZzf5U5c4+DVO4qAz9vTCnjinzMW1 WsH6A0a3nG7tW+97rG8v0KJK7N17euGCl6/cbPhO9849wrnsh0Q9ZEhYkd3r P+qfmw34cq/J63+/1Xwh1u9gv5L3wKRnOPr7gKfPKMHXDbybwO+MPRXg1VHY Ww77M1C/yuGfF0XT9zmqv3Ckz5lB/3GYOniLOvgAPl8Pn7eBlzbDS8nkV2vy aytxcpg42Ya9rth79s1BY9SCD3okY53ezScf2vZav5nWM2vl9u/1uWGttC8v HukLbrmX9t34WvfjW83XZr2So8aOyFf6lP794GkDvk/gPQ3+/T5izxrsa4i9 MdifG3/Mwj991qXvC1X/Vp8+bwh9Ysxv6S/20I8E2EmdHPRK6uRi+P4cfJ9N F94qA2/NIv9Kkn9exFFB4ug2/qiJPy7NaFQz89Vb+kXGtcc82+z32Kl/9/sQ F/nKoq/jW82r9cqft5BX0BTXKv8VHyh8mcD7DfxDa4g9b/4R+9rZi71T6K/2 0W8Vjxf/NHNM30er/jgjfXRQSemfe9C3vSojfVtF+g+3P9J/dKeO9qWOplAP clAPKsNrHeE1lZ/B5KeKs9nE2Q/8tRp/NSvn/7is4a27MLZnVPM/WT/HFLdm PlC8WgM8qn69Be908D/Cnou/xb572DuDvvUL/rAvLf65arp3qDE//l3PPWQ+ /h+JnBT6ttn0ca6c3wJw2HK+yo8zOX/lRzPvqfhRfrxkikPlLzf8p37fYIpL le9KnplHlR9V/VL4soJ3BPjnY89l/LiNePTA/hj88Rb/jHdMf09TcdmLfK9M 3Co+2Edc14Qv7BMl7nfCJzaPJC9KVhK+KUXe7ICPipNXW+ErlXcW+EzltcpP s39SiTv1fdGUz2aeVPJV/VJ5fUjhAd9X+DEX+HXsyfFc7HtdUewt/EnsP/xd /FHzqfjny9r091rFk5m5Z/vBo3bUp0fw7Fzq13Z4uD/17Qg83Zv61woe70Z9 PALPq/qp6kAHRgP7Vf29aYqr+aZ8VfOFTOeh6rUaH6JvD/qHg0fVwcngvQH+ IdhzCPtWYO8T7C+HP1bhn/z26d8BVN32oR9aRF0fyb14N3U/jn4q/3zpC0aY 7ik36McajpC+Yg99Wxf6jvam/mePqY6ruFH56GbiVZWfXqb6Ya7LSn539Lky FqwkeFJGCr78DwRvpuGC3x978mFf5j1i7z7s344/duKfLaZ3E9VHlqQ/j6LP LEH//oU+fBz9/TX6VC/6/1H0sV7cDzrS56r7Q8kigv8t94vBxIVOXBwg3wqT b4rHssBj1akP2fiezXwJ1u9lv4a8nshPGSb6xvQT/S3A05qxJ3g7gF/dz05g X0/sfYX9mfHHPvzzNy79O5O617zkvpjMvUfdJz24FwVz3/Tg3vSY++gw7lUD GPuCrwj4YonTF8TtCPIplnxqAK8Wgafywv/94P/P1FU3vrMwf4d+JQf7tyKv GfKvom8X+vOApxP4RoB3HGMU9nTCvmjs9cb+ErwL/cU/Wdemf5dT92xv3i/U O50T7xvqnr6a9w/1LmIwZrAV/UvR349zvcC5TiBfKpAv/eChDfDQ+8nC75Hx wu83qZslqJvn6UdW812f+eQEWT+N+jAEeXWQf497SSP0HwdPO9M9Ogv4/bBn CqMP9uY1vaeNxj+dTO+Y6t2nJu9pS3gX2sR723PejR4zTkK+PfITOLcFnNtA 8uEr+ZAMr+6BZ/zhb1W/plEXV1EXXYpJv7GGfuMjfVwPvuvQj0yij0hh/wnk 9UX+TPSdRn8CeLqArz9448D/lnetFtj3EHufMar3R+WfyqZ3X/UOqd59K/JO WZPxCPu3s78K5zKec6lLvJfxlni3gUcs8MgM+DkQfi5G3VtK3WtFP5H5mfQT 5f9In6bT72b7Jv3vM/q2QPo41Z/dZP8A5KXwLjASfa7o3wMea/Clkp+24G+G Pcm8u/pj71bsL4k/yjIGm97Jze/jh03z1U1+10zxXM7EE9lM7/xzTHUtk6lf mGHqw26a+ttY073B0XQfK2y658aZ3g/6m95l/pj+d0kxvSPam95nG5neva/8 l/8V+B/pJP8rBfM/Uwj/O4XyP9Rp/pc6zf9UYfxvFcb/WOH8rxXO/1z/fqt5 tV7tV/KUfKVP6Vd4zPiODPFyWXGwuFGm/O3fjybW1azKXYu4mtzMuJH3cXzX 0p20Zw49i3o1C9AqWJ1ybu+1x/DxLftn9LlLmrtbqYbzre5oeed2eJvZ7r5R LLBiiVnb3hrWc+R7O/OJs2T9VPa/KyvypuQT+ZMrir6L6H80VPCY/RdVTuZ3 P1mYb9jD1kbHZfmnXS9RTWvm1+n670xeWmS7I4dqVI8wfv1JqHcg4YOWI9fs 25kGJmsHYo5EJ5ZMMhrE/l5dKzLFiLjl8mNU52fGhPvyffaOzN/NKev/sj+0 rchbP0vkbzgr+k7Gi/5cFQSP+Xx3479zu2X91y5VUgIqztHyRefKOqzLPqNl gdIbvONfa18v/S4c7ROrdQ/cfWLuyhtGrvIvx7RtlEOv0ud9tY22BfQxuQ88 SUjMq8/rJ9+BzC8/JOsLsj8qv8ibdF3kV3cXfa+DRP/zCoLHHH+JecT/X2aL fT1uyP6wqodKBwZEaQFJkSN/hWWydPeY+jlySXU97fnW4an7auju1w7sPvUi jz6o/VqnCvN76UOG3z220m6E3pDvxRdlfibrXdlfF3kWJR+8LeeI/me2gsec H1+Jvyqc72j81wB5A1Idc/e676Q/e5a0blGd9parGR8f61VxuGVg2Tcug/wW 6pNKJbW7+2aXvnrT8tnH9YP6Tr53MP+C9W/YXx55lZB/B//eIR6uE7/m/G2f QeL7AfGTdl7O59lgsX/Yc5H/+NUV67lHR1ou2U3ufOPeAX3v+x0+uy+e0/Nk 2HX08cqz+j8J2R9XsQ/WK/Adzvw11r9kfybkueDfxhdEX/W/ot8HPGZ+aUM+ PiA/xu6QeLL6R85rGf64iz4tflotP9uLeo76OV09rxuWP+H2dWvNeGBxT5n/ e9LDB5YCZ+S7NfM9WH+R/UeR14R4eLBG9I0h35LhEzP/newg/HGd/NVKS/w3 PyfxpXF+G/BPb/Q3SP2y6W1QrCXy15mBfj9C9QT9blGPmdH6Vb4dmM/L+jXs n4C8qQdEflQF0bc3VvTHdxQ8Zn7u4i98t+i28Mn0XpKvWztIPkwj3gpxnrnx 1wjw+LZPNopWuKSHL2mz/kC+4/psvnsz/wZ/J1nJ/k3Ie9xO5LfoL/qyPBD9 42YLHnP9GLJV+PnFZeG/zdbCL7YjJH+Xkx+/ib92nO8J/GeAr9fgL8aFhDmW B3xfY74F64+zfw7yWsEPI7OLvkE3Rf8n6oW5vk3yE/wt4eukvmJfLPxyBPuz 488M+HMV/lqO/x6CT32fZv4x/szN/tXI80N+R/g2A/qr+aX3pzr/A9S3oXcl PjLAz5uCJX6mEk9biK8/Tunjcyt4FuI/L77rMG9LfG5m/ybk9T0u8u0rib7i xGe0KT5VPhUjv2qQ7282S/6NSJB8XE1+HiNfncjfXeB9jr8acL7V8LfiAxfW x7B/F/KyIX/OCtH3mXzPMjt9vit+ev/35H/46gT82Zb69gf+LAbfOcN/19Gn /PPTKj1/fuX7OPNXWN+d/UuRNxX+HHpO9DWEP7+b+FPxfX3qUV3qkSP1aDL1 og31Yxvy/fDHKc5vDfHWm/yYyHdL5gtlkvVZ2d8ReTWRnwF9V6lHFRzS1yNV P7MWkHqaf7rU17vXpN7OqiL19/UnkbcD+xdzXsNCJb4s5MM68vcI35ctMr+W 9eXZvwR8XtR3B/qd276iv7FN+vqu+pFs9H8vQ6RfqdxZ+peS7H9B/Z0TKedj UfFbWeJ/B/kak1n4JZT+aYqDzPcMlfXeF2V/K/zXhP4jmH5pzGnRP9zUL6n+ zkK/Z/NM+r9eF2V92ZliX37Ow5P4cSLffOGHOXeFT+5dEf7ryvdr6ttdlZ/E /w7ia/UMkV8yWPQVfir6Q8qn7z9Vv1x3mPTPWcB7FnuK0l/ton+ZllHi2xF+ sOok/KHDdx+3CD9Xo78/4yrzi2bK+qX08xeIv2f086rf/Aq+A6Z+/n/lfsR9 7lSTyiPfdp1mazRiVL+XLzW/a65tZbUC3Vcl1LlVSeNeGLzGvtyYbj/qGM6d F/7TYVwDg/tjiM/s1mER/nW1ItqSiIDzLdS9OfRv+eI/W/cbpRXfNfh9WrV5 6j56elTfZnva+w80psxI/Fyl7zF1bw0rmUsvklzzhpbbcc6yulp/jfttWOUB X+pNzLvFSPb88r73yvMa9+Dw0r/X+lXZdtfY9WfFnKFpK9V9Ofxb2NqrK4Ku Gi3mrCrZM/mMwb06PDpCfg+wWfmf9er3Gmki59BIka/kzBsoem+WEjxK78Oc gnMB+BXO8l3Eruo7xV5ll2858YNvE/GP8oP3AvHbmG7iT+W3icXEz5vxv/Lz a87lBuelzsViOj81qvmb3UROQfbvKeIT7zGyvlHBTsYrViljusQ5aVlcr36s 9qiONnVDlcPTGwzW7He6X9yct602JGK8y8Ety4yfwd1qNG590Ng+uI//aJvH 2pccRTMPvnZW61R3tc+52wHa4ODpgWE+q7SeN8/WHdb7oTbR8/KVjL/vGbcW X8l0a0uMFpz9662qSdc0PdRnU+Dd38bIe9diS3R7q/0Klu8ZmWS+yzJZX3uk 7G8fLfK6hYt8v2qiL1dO0e8Knvbg+xQueN0DBf+cdWLPuO5iX+ZMYu8N7C9U VMYU/HPVFPfK/3m6yDnVIg+6dxR5yzKIvJvvfif6NhmqBXyQse3nrU2vT19v lEhZ/tFxx0ojsnG+3lHtr2j1xqz5VaHvLU0PCrz8cssFbeHpgm8T8/9f79n9 +YjWgQV0l3UjkqLbZLA0K7Giap/pOfQo14lf/lRM0raXj2xnvcHaEjfL89CY jdZ6hzF3r1cMzK/nmmr97ODnX1rP0fLda7bMD6go6xt0lP17iou88sifib7F 6P96TPDEjxZ8W8Eb80Xw500We16+EfussTcoo9i/pqv4I5T4PdA1PU+o+P7d WPKgzhyJ/0u75Zx2Bsg5lcRfy/HflAxN9peKD9f8rGR0Lvj7+dJx94xM0wu8 8fb/apS8nvla+xtl9NmjdgydEv5Si82ypH6+yaUtDY7leZfTyKfvPL7jlv/S spYSlwo6dW/y03C65/okcUpXvcPzaacbJLww3Pu8fP9ipoe+snWH+i9n2evz +a76XebXsv7XFdnf4oTIO4T8rllF30/0p14TPKHTBN9g8HqD/zSj8mdD7G2I /V22iT8Gzxf/nNLT86rijxfwzPMKwi/WIRL/Dc5I/Ockzlprco6F8VdQAcEz qvOR5mEtiuihjEsWZSwyxKGJJefy1Tlarapv+RRcts+Cv5X1YmPDU2ZdbW1x cFvR8IO1rx7knfFwn4aDdOu1bVxCj2/QZ7sPHHvkvK9evvOok9M99uiPXrYc n6XkfN2R75XMF2X9V/ZXQ16It8i3OSX6UpaJfl/wzAHfRMYy+DMO/14gTr8Q t6+wvwd8UJ06VGhn+jqk+HkVPL6zn/B3VXjFA14ZR36EHJH8CB4t55zAOT8B 7wHwVq9SJvDGBRt9r4OMQ20Gvtwwc60e7nqxYOacK/W8nwouefs2RJ88tmbH kGlB+oUr7kOWDDmnR3W2KeU/9ozeqaVfn95lzug7vRPL17Y/q/fkO4b5aNb7 sL8M8q4gfwj6VpYT/TsryDgXfD/AmwL+w9hTnPzfh72tsX8A/thBfbOY6raq f1tuzP5PndSo4wPPC18vpz7sgXfuwTv+5I83+TqBOAsKlTg4ij0jsefolZvd F90+o59j3B7qWN+hxiH919s/2/u/CNXHrgj8ubZGjKV81qzaj8mnLaWu5vQL mfDAcuZH9qXXdl6xFON7GPP9WH+L/e+RF4n8y4ze6D8JHm/i1Je4bUP+hwWJ PUHYd3+t2Ju7stg/6qj4ozD+OTUwfZ+j+otS9DlXekn/MWW41MEB16QOzqUe JMLnb8OFlwJPCi+lkV8lya9RxIk9cfIWe1dg74fMXydvS4i15Moi402/4Ki5 zUMt4Uk3w56Mu2Fxi7eyLXHust74xOWDH7r+n9/4fsD8M9ZnY/8r5K1F/kv0 VUT/cPCkuAq+XmMFbxy8an1T7Em0F/t2u4u9dvQV7UaLP56OFP/kGp2+L1T9 W/Br6QuTf0l/94+t9BcfF0p/0WyG1MlG1NUSF4TvS8L33vDW7zXCW1fIvxjy bwVxNJo4eo8/Cs4Vf9w4ljLUWr+uX2Q0NKd6lich+opxLe612n1ZD+H7LvO3 GR3Yfwx5k5HfGH2P0X8IPPHgOwze+eCfn3n6f+zJVEXs+0xfYLdS7P9gJf74 Q//bs8DKdH206o+fLZI++sIp6Z9/xknftiVM+jaf8dJ/nBkr/YeXm9TRstTR C9SDRtSDAHjNA167Q37akJ8ViLMWxNky/LUTf535p2eYZ/haPYTxBuNu5hew 3oP91ZBXDfmR6JuJ/nXgKQq+l+AdBf4abcWeV6PEvh8+Ym+vELHf4774Yw73 i9i56e8dauyZUfxrOS3rIrOK/8Pohwv7yvls8BI9VZIkHseCI5DzrQXOUM5/ MXYMJT4csPMq8dMKP1wmvo7gp2DGh/jvMN9nGW+yvgf7zyCvMPLbo0/VJ5Uf NcA3F7x1wW/3Q+wJwL5K2NvgtNi/Oov4Y1Go+McjQ/p7morLWO5po4jbldwT hqyQuC7cSfiiXiWJe48o4ZMg8qI5fJNC3ig++oe8egRfeZN3v+Gz3OTlS/ju GP4ZgX98ibtufFuYT2a9PfvTkNcH+YnoU7wyETzJ4KsB3ofgP31b7LmMfYPg x6TVYn9z+HEP/rk4Kv29VvFknUJSf571Ex49HCr16Z/rwrOtqNebqTNu1Os/ 8HRp6nUB6sxB6mMVeD6U+rmHOnCKMRX7vbD/tSmuvMnXEnx/ZF7V91/sD0Ne IKOq1/nRfwE8xcFXA7yHuA+cpV53xb4q2HuEOnPvmPjjwxDxz40W6d8BVN3u TT8Uz7vADe7FeZyl7g+lnzpEX5DCPWEZfU8q/ZgNfc+gytKv9aPv6M4YhX3F se85cfOEuGlNPo4nH6/Dc934HsW86h+j2a/6RyW/K/rUuM1R8NieFnwu3A9K 0/eEeok9v7HvHPb6VxH7D6t+mr7niund5N8+nP58aE/pM4Po37vTh9pxn5lw VPrUfNxnftHHbud+sIU+dxVjZ/BPCxP8qg8vR1x4kW8J5Jvi1bLw2EZTfVA8 95b1Y9mv+q3LyL/L/Sm0oujfCJ5Axkng/Qn+N9xnMvEu8I37TDfsX4g/tuGf uqZ3JnWvsWsq98WeDnLvabJe7pMFeBd59lnum3O4Nz34q//nPjqHe2F3xh7g +wg+N849B+dei3waTD51gKfs7gtPLYT/a8D/16irpfmexnxveO0FfWuxUyJv APILou8reZKB+/5O8KWC9xljKPfrJ9iXk/t1b+6FZ3eIP9ZwL5ytp3+XU/fs T7xfLOedTu8m7xvOvCftfCvvH325x29gVO8UCei/xrmu5X5V31vyJVMPyZd+ 8Opa3ntm3RV+bwi/n6VuTvKWujm1g/QjW6ij1okyn433ng8XZP8d5LkcF/kn yM/Z3Pd6k0d5yCP13tMH/B2wZzTjEuz1w/7TXcQfL+eJfzKa3jHVu8/EHvKe NqW4vAtVspf3tg9Z5N1oWVYZ/+FdadZake/Nu1Mj4vYs+VCXfHgOz3hVEJ7p DX+3gL9f0gcsWSd18T3vZgXoNzZNkD7uPf2XJ/OXeH8s6Sb7b10VecHI7+Mo +nzRPxk8VeGn8eBdBv7D+Osg/gvh/bGMtYx3eIdszLvZfdO7r3qHfM47b/vS 8k5ZkXEG75dP2b+IOK3C+5H3Von3esR7QXjkgrvwSDz8PBh+zsI76376gln0 E4tUP0GfZhUifVoB7gOj6Nsy5JD5IN7n/4yQ/Xc6i7yC0SLfGn0l0J+D/wUy 845Vg3fzuxsF/0Lsacw74xTsLYP9t3i/DWa8ZnonN7+P16uSfn5Ij/R+P2GK ZyuX9Dwxa0d6/v1gqmvNiqfvFxaZ+rA1/G+h+tuii9LfG+J+pv9fI9D0/8f3 sNnp3g8mm95lrEz/u1R2Sf+O+NH0Phtsevfe8V/+V9h9bUmbDDNO12nXcdiD O6Ns6yUdPXa/xJwmTgtHv6u8ZlHL+mNOPZ+/ybFCA6f2Le0bPkhokO1jqtOS qVOcC21eYj+xzEfn8sXPX2vctUnDh451agx65N3QsmlX1Q6/ff/9VvNqvdqv 5Cn5Sp/Sr/CY8c17WSTlXMeoxuFhHYsd3JAaEbN4/vYWS8trR6xurlm+oJnR psjwam5Hp2inanUOOL99jTHm8YtVHwueMoZMueb+NGWdkfFy46U9C5zUHtvV yNrNI0Q7cEm+j/jIfBvWd2F/IvLuIN91iej7HC76g14JHrP/ajCfcj5Dlo6f SmqHRlkvXfymneHusObbol7DtTZLPAt7ugQavxqEHzzqGKZNGjalQ52WcVqx mTPWxTYytIHXs8Y0jL9trJ8UdmPQituGA9/1Zsi8xvq17H+NvLnILzta9Fld FP2bwWM+3zzYswN8jp2ik2NKjNcajc9R/VbcCqNWou3SaQsitUzfZsx9tOae Ue3SDs+NG9KMXrPCCm71fGRcLPfIzqZJNn3b3B4Lb/600bfwXXmmzGdj/cav sn8O8iYhfwX6ZoJ3BXjM8afj/5CyYl9G9qeMyf716tuD2tEmm/ruCnhmvHxY b1rHeW+1eq8bNpvrYaO33zfqTZVtBfSo1Awdm0ytrd989Wpii5Iu+ie+hzCf 9krWl2V/JheRN8tL5A9D3zz8Gw4ec36cI14Och6DsDcVfI30xPV9xmTV+05u 4r33dk3LYWv/qU4eTSx7Fr0/uPjIBD3zhw2XQm1W6z20FXnLjt6kZ+c7gvmp rHdivy/ysoN3MfoyLBX938Bjzl8H4rsd8dOZ81kfJ/YXQ37s3/ZW55LqWzpf XNplRNFNuuuPm1N+h0bqK3rWf/Fx8h19qU35k85jHugr+Vbz/VjvZtXhP/ur IO8Z8gPQ54/+TuAx80tj8rEG8f7kosTTZ85rJv5oib60uAebd7+/oddpu9Ct VsALfVX97qnXK33Q95Ublu/Wzw//fqv5jA9lfU/2eyEvBfl30VcT/TXAY+a/ R/BLdfJ3HfmxkPg6y/m1xz910d+p8N7LDu0/6H1aOPhm9EjQa/askmdhlof/ fndmXq1X/g1FXuhekb9khuizmS76z04WPGZ+bgvfzb8mfNKDfLX6KvmQlXhb ynkux199wdM7n5vbqbBw/btL/MFHGwP1vnyr+ZWsX85+Fb+h5Ns39J2Gz9rA x+b6MRB+toL//OCXL+TvQPJjEfGnzlf5Lwl8822jqjdzHmpJ5bsO8/tZr+K3 O/JCkL8bfd/RX6So4DHXt3j8WRN7orHvJfbmwf4l+GPZf/HnX/AN/C/+XMb+ LEoe8n+gLwb9w03+VOd/lvr2gfioAz/nJz4vmOJT5Ycr8dcbPNVN8aniV61X +yORd474vD1N9A2dJvqvTEofnyqfvMgvL1UPqR/t4PMN5Gd78vW7Kd9X4K9/ z9eU74ofurLfQJ498sugbwL6PU35rvgpCr76CX8VoT6WeyT81hG+a2riz3b4 R+WXil91vh2Y78j6Vex3Q14V5OdGX2Zn0X/JxJ+K7x/C/y+oR/OpDwWpF17U jz7IX44/DFM96kp+WPMdzPxg1ruwfxbybJE/F33J6P9gqkeqfkZTT1V9HUq9 3Ur9fU/9tMb+mpxXLeJrLPlwkvw9zvcU5v/A5zWo79+RNxP5ndDnh/6Xpvqu +hEv+pO+9Cvr6V92sn8i9pZR50M85SD+q5SXfD0Ov7wnf8vA39epN5eojwuR Nw/509A3Ev2rTf2S6u/60e+9uiD9X23WJ2DfMc4jN/HTk3gfMVXys0G08Mk7 +G+j6kfJ36qs30v8P0feROR/pp+MR/9yU/+p+uU+9M/3mR+LPW0yiP9PES+X ie8u5GPiROGPM/Bdc/i5Od/9qX9VWT+O/c+Qd4nztUXfFvTXNvXz/yv3ozYj hmQp396z7oC3OecM+Dyv8dmPMqrfMwXMrrnqVVxE+7eeDlHl7kdUzhgd+Ofq 4XpL10/NU35cFu3BvBntBzzIp32Oc2j3N/ay06kXM/uEVKhlvNxxrmqJ8jUN /21NvpYpeKZ+826Le2ev2FV7V7vmxwVFRmivH3Zq0mfuwgbZPxnLW3r7GhXd sz0pc2S+sXyu5ejca7WcC+5ddbTZxa3ah7gxVSt92W2MKzLy/s8tIc491h1b V8QI0r4dnBzi/MDf8NQf7869sWjDLat2Ls1abadh2/DI0JTQXdrxkxf+5s3S p+G4A8UiquXeZ1S3afcwre0+rXKDd+UKzp3eMGK//H7DWdar3+8jpyrylRwn 9EaCR+mN2iM4L3US/Apnf+xaXkfsVXatwg85d4p/lB/sXorfWvuLP5XfFm8Q Pw99L/5XfvZZL+dyK1XOS53Lvm/pz0+Nan4J5+jAubpZnbm282hm7dff8P+M WtRa/5lB1Y3k1n+nTlpQx3BKHT2j4KNu2pMR3bbEjnTXbPtG7V3o7WMM7emS WM93vtE1clENvdc+rXrup4/2eG3XtmSNnbZhS4Rx7GS+hf3unNOi9r/M22lb jLE5tkymDAP2aPVrjC12r8Y1rZf/t4rzM0Uax1evy98k4q6WPW+JgNXrzxuN +C7CvBvrP9+V/UHIW4H80eh7nkv0nwLPe/B5g7eYp+Dfjj0D24h92lWxN0cG 8UM8/miPf1PfpY975f83xP0d8iAX8pzw37IOm3KN3NpDW8/Yp+Jmx4KBM42S JRt/v9tpkrFhhO3xabO3ad+7Z/zq0mG/1jH5a/ttly8ZkTPXjqwz7LzxpJb9 0ejcj7QBVlO/1c/9wohvWqbo+7opWjdfL78uAVHG5s87Xx0aeVgbFR053nNm grZhvdfXOolJWrYM67rmz/RCy79Bvusx3zxZ1m+fJfsjkFcX+QvQNwb9h8Az oYfgiwPvRPB/wh5bV7GvCWNj/LkGf3Qnfjf7p+cJFd8d4Ylz8MYi4qws5xRZ QvR1R9/7g06b67hs0koeknFPq7oOI/JFGCfv1e51rGi0UTlfQ/eEh8+1s471 O1Wv/VTrtrz0oKJZ8lqc5j5Y2iQ1s/7TudKnnf8UtlSN/Zo68/xH7fWSA0WK 6zX1tJA3rZvdzGRpMyJh4IUqzfQslx62qPM0i0Xj+yzzmZfKeu2u7N+HvPzI r4++EuhfA5769wWfa2vBuwH8ixhTsW8M/r2I/TbEbT344auJVxV/9IZnisEv V4j/mD4S/004R3/O0RY8EfgvstStXsEubzUvRj/XOWtr5C5t2WA9ceb6Rtks D/qPuTf1fIq2otW0GrnLlrMUWlUiorbtED3ZvkH1cteb6Etie5duv9Rf79U1 z/SpHh76jc2zn9T2CNBPHzg76MGrMXoM312ZX8P6n+x3QF5v5M8ZIPqaon8d eH6Cz6q0jM3xZ1vseYx9C7B3PPn/F38E4J/dddLXIcXPS+HxGvD3KXhlMrxS k/yYRH6crSbn3IlzzgXeKeCNG7apc4EMqZr/aBlbn65Sy7arr75mQuF3BWpN 0mt2KxTiXfyYvnBAmmXBlu36mB7djs7ocF2vs+B3iZiNIfr2L7PyOjW9r69/ PTCfXeaz/36r+bGsn8/+Wshbi/zO6Cs/UvS7e8q4GnwO4F0P/mzErYF9Q7D3 GPbH44+h+Odcp/R1W9W/E9TJCdTHWfB1bvi6FLzjAu+k+Un+/Fom+dOAOHDv K3EwB3vaY8+cEoOP5tkbos9lXNLZ27dQzGO9ZNeuzV+Wvq9Hut15c/XyW718 dCUn/Xyi7m+V4Lcs7YOe8M2p3J7kV/9+V2D+HOtLsX8p8uaa9HRF/xLw/CAv WoO3HPmfjD37sK8s9vbGfuWPu/jngKnPUf2F+yHpQ+rSfzyNTV8HB1APTsDn HvDacXgpZzHJL3vyaxZxUpc4Uf5ajL0OXqmH3v1+r5djbJvnQKl2Pq/1cxlz WdzevtMDHx0tuXfKY714yM2kxd6v9S18n2derVf7lbxlpvNR+ueBxw58NuAN Af+UO2JPIPZdnSn2rsb+avQFxfGP84H0faHq39zp8xrT352ZJ/3FterSX4Rd lzpZ/4fUyT7wfQL1YQi8pXjOkfwbR/6pODtLHCl/tMYf3WYnVewz87beldHr 4fCSB17u1t+6N81wuEKkPoZvtU6Nyp9K3llTXHujvxZ4FoNvMHhVveoXKvYM fSv2BdEXHKe/2ka/VXi1+KeXqY9W/fHJvNJH16Z/3pZH+rZ89G2LraT/GEr/ seei1NEG1NEY6oGqD2vgtR3w2nPycx75qeJMxd07/DUKf/VsHDD90pCJem/G YYwjmVfrN7O/BPLmmfhgG/oDwBMNvovgbQt+V/qCufRbLvRbp7C/OX1sAPcO b9O9Q43vice7+LE5/vdGjhvnUxA/ZuH8XMHhzfkqnCoed2KHio+52KniR/lB xddo/OTJOAT/Kf+OZVRxG2jKd8WjSp/yY23wXAefB3hVHEzFngv48SL2emJ/ KP7IpPzYMP09TcVlUe5p38jrePhgF3HtTr/74IPEfWn6tpzkRRn4ZiF5Mxs+ UnltrieKz1Ret2Hsgn+24p/XxJ3yV1dTPpt50lx/VF77g8cffHkVn4N/dIzY k/hY7CsCPwbUFPtH3BF/XCGvx+5Pf69VPPmO+qPDo0eoTxHwbGfq10V4uDb9 7gV4ejz1T9WZedTHevC8H/VT1dUlpnoTaeJNc/6rODtn4kG1X8lV4zz0qf5q M3hKgs8PvNfAXxl74rCvO/Yew/6j+KMl/kk0vQOout2Ad4xmvF804V78jrof RT9Vrbb0Bd/pt4bSNxygH7sxUPoKD/rGNvQdLRhVP1LLVMe9TfVou4lXt5v4 YawpztV5Kflt0deS8R14NPrzQ+BdBP547CmOfZew9z72N8UfLfGPk3v6dxPV Ry6iPx9Gn5lE/6760Cn09xfoUzvR/++hj7XmfrCcPnc946sxgv8i/lV9ckEV t+TbDPKtJjx2BR5bR324yrean8d6P/bbIG8R8rugr8co0a/uM6oPzwLeE+B3 wR7Vh/tibwT2/8Ifo/DPStM7k7rXZOadaSH3nuzcJ4dyL+rGffMh96Z53Ec7 c69qyniPe9dc8O3i3Edw7t7k00XyqTY8VUTxlIn/o6ir6lv1K1/pt+zZvwd5 qr+uhT5X9M8Az3PwlQevxtgTe65jXx/sHY799vhjHf75syP9u5y6Z0/g/aIE 9/DpvG+EcU+vwfvHT+7xNpVkPIP+7+h34Fz3c65fyJe65EsJeCgcHjpyW/j9 wV3h9xPUzdnUzXb0I6f4rsl8vVeyvjr9sz/ykriX3ONe4on+MPA4g+85eI+B /xl23WWshb3B2L8KfzTCPz6md0z17rOK97Q6vAuF8d6Wj3ejjIxFkB+E/A2c 22rOrQP5sJt8uAXP/APPNIe/t8HfrjOkLn6iLha4If2GQb/RlD5uH9/r6Uee 0EcMoK76I68Y8v3QNxv9Cs8I8LmCV73rTMae57wLZsLe3IzX8EdH/NP3Xfp3 X/UOWeSrvPPG845rw3vlS/YPZ/94zqUG59KPeL9FvF+CRzrCI63gZ1W/tlD3 alP3AmOkn8i7RvqJLPOlT+tJn+ZB/1uF7/X0cY70H1H0I4WRNwX5L7kH/+F9 YSB4PoBvPnjzgP8z74X1sc8Ve2Ox/z1+KYVfBiSlfyc3v49ve5d+fqjJ786m eHYzvd+3MvFvXVNdizL1C4H70vdh50397XTTvaGd6T4Wvz/9PXef6f0gzvQu 42d670ozvSMWMr3Plnif/t07W+r//38F/kc6yf9KwfzPFML/TqH8D3Wa/6VO 8z9VGP9bhfE/Vjj/a4XzP9e/32perVf7lTwlX+lT+hUeM74fS+tcidtR1ajY ze1+iW+tta+9/tkZU2yw4XGoWs4xP6dpI6/7D7/jOsk4Vjyp/O+jwUZRt/De ZTo90NrY37zR1OOxNjv62tpjNs+NAPe7dy5HJRnfb8j3naIy35T1mdjf95LI 64X8v+hrgv4P4DH7ryPzDjkP/iqmexiVR6TFpIRP1yYEprmvGb3SGH58/e4C K7caOcYuXb/r8Est9Ohlu3/K3TCm3uk7cUeeH0b7sW/+/rnz0DiXwyNHTas4 beFI+R6g5o/L+ofest/6tMj7tlnk3xsu+nKgvyp4zOebhj1fWd8qxGFH6YOr jV4XlsS5D9+p7c/r8+Px37uaVUzd9u8nztKm2++v3iqwkJ75beWu/7Qrrr+u EJM14nlWS0WvHoPcQ0pbStWQ76VvZL4b66221PvP/ls2Iu/9eZHfBX1X0Z8A HnP8peD/q/hv3EXZb/VkQkRcxhramMveucv9/W50adjO+e7Smnpwp8OHT1V2 0M9ad1vydMMvbdek/vuOTOmrp/VrVC40wlPfw3fHrDJv3VHWu7K/ZpTIsyo8 5T/yt4D3A/5tDB5zfkRckXj5f9S891+P7/vHH+JlhoSQ7PkyQorkuowkZK+Q vffOTvbem5AZWYlIcT0TQkbJSnZC9s7m+/m+j/v5vt26vt/PH/D56bydned1 rPM4HsfjPJ+3WzWPyXmMxN8uF0Te0Wl65NdPtfRedXJc6fK6hsXpxrcnN6wK Wrrabd0S/nepXn3S9nZBf3fqlV4XynLldYhegPkm1t8/kP0PXOT788grg/xn nNe9o6K/UZzYY67fT8Ukv53IH6tE1/+cT6qb+L8c+Z6DnjXp3riLHlh0UmYP z336ylX76h1yPa2/uVT4mcObU/rf5Niba9OP6E0vy3wD69vZ/2CgfD8Kf7sS X6ulkk9e5H9eR7HHjC/Zqcc2hyXf+5BPDziv5XclHpPR53I1186j9WJ0h1bF HZIfGpZcddZUXNDjlqV448WeZR7esmRi7sx6Y/aH8X2b2yLvOPLHoS8wVPSX xh4z/vmBH2sSpT5T0iT/R+WW/BrP+QUTnwboHzd0k2XP/euWOkFGgaZDj+qN h+6q1yzoor6ceQfWi7F/O9/7IW+UrchvRb01Qb8P9pjx+RL4lxV8yV1Z6vU0 9VCDfHvK+doSrwbY02eiV96Bi87pH8u9e9y74xF9MPMRrJdlf0XyoSLyck4Q +feqiD7bweAb+GvuHzPA59zZBf+cwJdf1K9OfSSSf4U4367E7xH2Ld/+2v2Q t67fZ96O9X/Z/4XvsyPvM/JD0PfDRvSfxx5zf1sWL/a79Bd/2oB/I/G3Ev6X JB51iU8v4tWX+L3AvkHMA1jPyX4nvi+HPGvkL64q+soPFP1Z4zPGU53/e3vJ B5trkh8Rz8nPMpI/XcinHeRXWkvJt6Hk32Ts6Uf8xjHvxvom9u/m+13ICyol 8veTn1/Q72DKT1VP/VpJfX0LkXrbUlTqL6ad1GNQqtRnKPVakfrNS33UIF5/ G8n5Fmb+Fftqmep91CORt5d+kZt6H3dQ9Ce2yljvCp9ygVfNwS8rP8GzmeDb ZPAubLDg3x70bSU+t6mv6nfJP843lPUj7HcEP9e6irxKCj/DpJ+Ggt8JDhnx U+F9FP3oJf3oFP2oOP0tjv5hrfpRksRjK+eXnXyrTX0ofBjIepvLsr8k3/f2 F3mF4kR+aVvRN+Ck6L8Wk7Efqf5ZmH56k/5al34bkCr9tyT9rR/+N+e8epWQ /LoGfg3sKfVblfpokF/WV7P/Ov3tIvKseoz/j/wx8J1F8IvDpv6u+MhL+Ini Kw+OCX9JjZHvbYmvVWY5n17k03zyv051qVfnEYIv3yrJ3J/1+Yov5ZN+fCI/ 50U8xqCvFfqXmfiS4nce8L188L9D7F9NfLUjch525G9u+GQC9TkePEnJL/h3 ZIjMfekvU+mHGvk3Bv7Zgfhlhu+WRr+niX8qvmy1VPhzbdYT8Cdtn8R/xiXJ l8nw8Sr035dFBD8ag3fjwOd69JN5Cl/YX4/6OHpO5I3gfF+gzw39r018/v/K /Yj7XHibkLulIpqWNEYwqr+nDXpfN62xi3a1VNEN96a6a9wLj02Y/+j3+L9t jNCby5/23NPR4P54vHJqyeGlMw3WstZ/7VH51Qh1b45wnm2k9T8xxfArPrrA 8Db91P35hP12v47zsozWCk4M63Y2y0F1b418eSh8647DZ7TqM+1Kd3Q/o3G/ jRx47kOphFnXjfctRw75N/dljXtw1Bej0OGF6eeN2z7VT5fOEq3u11HOeUcH pOZbpo2rE7bulW+iwb06arOn/N2um+xXf7+LnN3IV3J2o7cz9ii9j7Bz4wSx X9npFCh+nS8k/iq/4mZJHFLcJT4qDnmIWyDxVHHzJ85JxF/F+R7n0o/zUucy yHR+alTrFuQ84/u/1ZJm9pnYzvjIuO5/Lq5N+g/WzrkO8rmZf6gWezxTnOEY YNSIGvNwvz7DmPzxnt+3xXO0LvMj1jvHzTNWbVm84NLfi9qef67Of+IbqwUV 7rgodfxuo+KtCXeGvU8y0m8e7Ny7xjft+sMLbeZ3SzXSnMbYbP9iMf6mlb/Y 9WyKNr3lz/p+Xv9YSpwL6dqwzBftWiuZ27+S9eUNZP8Cvv+EvH7IT7AXfbXR v3qr2HNrsdg3973Y+ztS7B+IPxH4Vxd/X+L/LUYV3zhT3qv4z+ScFnM+x5C3 GnmlSkTsD94dYLRnDC1gvXDbopVaeoXPO9r+XqhZLvlVrnN1hxa+8UK5D86n tdwtJy6NWn1T85gb9it9zTvDpm3Atz+V7HSnCgtbXbaNNuZnb38rW8QNY3G2 Kju96mTS7Qtubbevh7Xl10ubCQ2efdTeJs2Ja/M0p27VI096r3/Ha2vuyrxr mqwPLiT7/fneKp/ICy0j8lPbiL7Xc0R/RAux5/YmsS/fFbG3dnmxvxX+5MK/ TIzu+D+HeAwhPktMOKHyuwc4UZb8n0meHeecclQSfYnou/DLxX5By6HGtzcy 3rjjO7yqX4zRelAzq8T7r4zIpEGP3/0opbvnvdOr29u3mlW/Nx+7Xr+o3ehj tfLY4bwW/wbWY1u0d9ZDwooVufawmOVtQ7+6z3920Fu+W9zM43Ul/VaplV+7 Deutd6jyt7b3WHd9KPOoD7K+gf2ufN8XeQnID/AQff3yiP7Md8Qer8FiX+B9 sffoDbH/83kZPfAvqJz42wf/r5C3r59IfK67Z8RVhR8/7AVngsDZaosk/3N8 kvwfwTk+jJNzTCFe74lfiV6lXEKu2ekve8qYJ/pZ/Vzvqlqeljoe+PWhq2Vt WMO39rla6l773gXOn1/DsvpPM4/tuQL0h/mLTsyZd7D+ffdst76DNumuU1NP +YbO0FPv/r61r9AevVN//z3txs3TPzKvzrp1sOxP5fudyOscIvKfHBZ9p9Bf C3tmYmdlxgbEMxZ/ZpCn1fC3AfVfYqHEYwX4+61oxj6k8HmBn+B40lbB72bZ BFe+gnP3Z0t9LPeW+niUQ875Annnib2Zsbd93tXVy3h5633yyRgQPnL5Cp+1 +nH3GeXcOq3UOxa2+WUYx//f/8/Q+2FoqG4dv//3pZKn9daZH/3b+kaU7ugQ Zpd7b4S+dnho/YfZLHoV5u1Zz8/+o3zfAXnnkb8IfQ2wYwF2LMW+R9ibiP0n qRsf/FsNHv3E/0zZJR69iM8MU99W/a8WfdKB/lgHvB6VW/B6YlnBnZngzjfq x2qp1E8+8qw1eXAOf8biT//cZXNmsj+pt2UM3nTs8YsJu/XzTbZV7P42XJ/m MCn6SblrlsSSvxf2unDC4p3S+PWbS7csvnFZPp5eft6iMU9nPUDt5/uTyOuC /MGMs9Cv4utLXfiRtwH1xP5f+FMBHK9YTvx9X1z8L0s86oRKfJxNPEfxi6/e wkPs4B9V6IMb6YOPsgqeB9AfKh0WXMoGLp2mvvZTX4fIk27kyUn8nYe/xVw/ rnbafsNSkXHV/Y83j1Q8YfGqmcVntfMVS7vDaZ/7Vj2nuzdqUL3s/f/5O/Nq rC9kfxW+z8O4G/lH0dcb/SewZwP2XcXeU9j/B39K5hb/ruFvvVvifxniMYv4 nPXOyAsVf/sFL8wLv5vxQvhFUH3hF+700Xl20idLvxe8D1V4D27lAbd06s+O +itfSvJoMnnUiHhcJh7tnboP7HsuTq/PmDje7k+5mif02+mhf2+2PK9fYt6V 9c6M9/neDXn+yLdGny36W2CPsk/ZG4X9m/GneAHxzx1e8M1D/DdeSjwGnpT4 lOmWkUcrflwRHj3ZSvhzJnhbEDzO6pbwjx3wkWn00Rj66FT6QQr9YCq41hJc 20R9NqY+K5Bn9cize8TrFvEqGzx4yb0m6/QmjLUZb7Ou9jfn+87Ia4T86ehz R/967EnGvp7Yewj7lT8zkuFb33L9x9/88NYhxCOghsTnjeneocbevhLfnO6y 7zd8dwtyPJ7J+UTA4+w+yvmtx44qnO8r7FTn74EfJckPT/xU9etMHDqSX9eJ 00NGR+J3h3kyo9rf2FTvbsjPjL5/0e+FPc+wryL2zsT+GPLx0D3xb8lz8XcB /pcgHh+bS3wWm+5pKi9HtJB6nxoleZv/geDBo/aS1w+tBS862EreHzkkeDKb utgC3thTNwofi1BX28GrWdSdwsVg6vIlow/xaUh87pB3HZg3Z30n+4MYyyLP 39R/HE19PR/2KTz/YeKhCdS1AT4m1BP/fxGPOqckPnO8M95rFU4umCH958FZ wVGHm9Kf/Ogz2atxD8nCPaSX9Le/uuB0nf3S/46C47H0x77g/BD652b6wEFG R/yfgP/NyKt65NVQ6lX1a7U+m/35VZ9C3npGP/QpfnUHe2KwbwT8Yg195kZv 8SfiT7v/+Petkvi7H/93Eg8r+syPGRnfAVTf3gQfakRft4YvJZSQvr8TPlUV XmCXX/hWtCa8waW08LFcR4RXlM0vfG04vGMMY1/8U3xvG3mTi7wpSz22ox4X gnPezP/Ce/KxP4zvByKvK/LHo28Eoz38sTa8Zxf80aqV2O/AvecPvC6S+2TJ IuJ/Ce7pcfDCxqZ3E8UjcxQRfv6Id5St3Gd6c78/CL/35Z7aifvVL3isuicE wnM7M47B/rPYf4O8iCAvjlFv6j7TChxLA8em0R/eqfsN6+o+o/jMbuTFm3ii P/p/nhZ7AhhfYm9Z7ou+Q8Qf5+bi38lA8dcmSPz/u0zisX4d70wFMr4zqXvN Zu6Lgdx7znOfbM69yJb7fAL3ppKX5T6ayL1qCGMNdT8kvn849wace1nq6Sv1 FA5O7QWnVL86Av63oq9+YF6D9ffsv83385HniPwGE0SfO/ofYM947PuVLPZe uCvjqOfijxX+Xeb9pcQH8d+J94YnxKdT/YzvcuqePZf3i3Tu4Rt43xjLPf2D o7x/fLSVe3w8o0e06J9+VfSf5p7qwf3Kl/tWbvAgkHvD8myCs03A9wbguyfv EMfuS99M/1f4yAjm+eirbdhfie/nW4s8q74i/xz1eTSX6F9Mnl2gjhph78kr Yr8X/nRhnIu/NfDfkXhsIT6NTe+Y6t0nnve0ibwLpfHe1pp3ow6MN5HfHfmd eRf59E7OrRz1bw0eNARXQ4sJzlhx3yrPPWELfbGkl/TFfvANe/iG1SThcQHw 2DPwY586sj+J7+/RDwKQ75Rf9NmDc9OwJw/16kOetSLv5uLPR/wbgr8DGF8R j9HE56Xp3Ve9Q/bhnfc575RqfM/3Kr5LOZf7nMty6r8p+f6Ud9zsQYIjB8Hn O+Czxj3Vn773Gj5RjnvCIHiaL+/p+eC/7jVl7sC9ogf8owH3taLIq4b8Aehb yntLr41iT9oSse8u9tpRr1a8Fyr/+uFvKv4/Ih6J/8s7ufl9fIxp/ZEp7nNN +bzU9H6/1SEj/qaa+loP0+8GvUw87J6J324x3Rv0rhnvY89N99z6pveD7X4Z 32XqFcr43vXT9I5ofp+NML17d/lfflfY3mPlShvXCOfEckVL/1mSz2VBvnY1 s/bQXYcOG1S57ZAmdfZuOvK8fLbydbd7B5fRnj+u2+XqxjcRzhPd9h6ZFVB4 22u31Fd7PhjZ9XoPs3QcmZBlVD33x5pfoTIB/52rdbVffa/kKflKn9Kv7DHb Vy+f4fKnxeNT22wLP6l94kv96Ym5DqcXttZ8uwx1XdK9vBF+/OtwzxoTtJ8z TnapXH+jEbW4/cgXLQ4b1vlbP9t4drixrP+vLw8qHtScAxy9tZz7tFHM32eV 9aXsn8b3CyNEXiEfkX/6uuhrgn4n7DHHbwzrLm1flWhUNP2UdslB+5TqZpxf lOfll62+mvXaw6n7N2w2Pj3uu7pZYLTmsKCyf7mrt7UeDfcGXlu8V8s8aXCQ q1uiMX9ujW9XQ+KNwszP1pf1O/Nl/xG+f4y8nsj/i77trUV/H+wxn+9S/PFl /56pmzwccw7Vzl7N/aPpwYWG9/aXr5Pmxmj/pjueqvY0yWhv+8/CPnO/G4vH 5RrU+dAho0nvhs3fav/ov/LX/+R72kZ3Zu48QNYrs3/TF/n+OPISkd90muib cFn0R90Qe8z5d7+TxL/xQvGvGN+nrGzdaVX8Xu1sUNPXW06kGC51Z+ccOeW7 NnKLs4NDbVv9WvubNyqNLqTbO3m6JEfX1d/W7h03YJmnXp55MOsF2R9TR75v sE3kNV4l8q3iRd9l4nuWfDDXhwf5MpXzCMDfQsgbaFNGv/0rj57abc759vtq Wt4FLuler7pmefApvsjswhP1kYujz2/U1ui3FtUKL+y8RZ/A/Bfra9l/iO8j kafk70RfJPqHYI+5fruQ30vJn86cz0j834z8HOVXt7myt5qlSMHWEWHvNusb F53LNHZVjF6mhX2x+jev6yUaBg4ruD/pv/MNrJdmf+UK8v1p5EUg/yX64tBv wR4zvsRQjwWoj7rkUy/O6xjxyI2+LMXid2yJj9ebf45Kiuv3VB9VLryjQ+Br 3Xfs3yvhg9/oo5mr9RzsL8f3fsjzRb4t+qzRvxV7zPgX4CD48aix1Gf2AMn/ lh0kv75xfuuIj9LvPSTH60JXX+tHck73XDYzRZ9tc9zeY1eyfpR5S9bVfhXf NOTVJH/vjRV9jXXRP8pG7Pn/4HM/wbvGEwVPEntJvTajHsaSbyU4z5HEKxx7 xvvWLP341Sn9a+svg6/dCdInMVf2qnirfBiHvOLIbww+/ER/e/DX3D9u+As+ 554j+BcIvti7SP0+oj6Kkn/qfFX8PmHfrFpDB1m972dR9s5jvTv7Vf7eRN5D 8OEp+jqAv1b0C3N/G0M85+FPTvzzwt8ppngON8XTj/j9xL4ppniqfC3F96OR 9766yG+Jvtz0h7WmeKrz31NA8qE3/aUB+ZJM/vwhn9aTX83It2bkXxj2zDTl ZwvWW7Bfff8VeYuQb0c/SNWoj5wZ81PV02XqqxL11on620g9JlKfBanXP0X/ /+u9B+c7grnyx5p6d+D70ptFXh/kt0RfOfRHmepd4dMP8CoN/KpBf3Sn/ySD d0XKCf4VQ5+qf5UPxci/kszVelH25wN/Y5Fnjfy34Gc8+mNM+KnwfgT4H0c/ OEV/8KRfnKR/PES+hfj+4PxUvl2jPsYwf8m6L/sT1ffIq4v8YPRZ0D/I1I9U //Sin/rRX9Po773ov3mQVwj/p3Jex9tJfp2iHs5Tv5mov2+sd2P/CfpPbuTl Rv5A9OVF//XOGfu74iOt4Sc94CsB8JeR8IMd+FuefKhDPh3tIPl/gnqtYiv4 soS5w0BZz8f+NM53F/J+Yd9n+Jkr+juZ+JLid5/he9/aCP/Lzf6Gi8U/xU+e kj85yPfDblKfD8CTBfME//oz94J/foZ/nuX7QORVIn4pcaIvDf7728Q/FV/2 gj+3ZX0R/uztKvF3I19Sye8Q6vHy91b/wY+CAwXvaswQfB4xQOYR1oIv69l/ kO9bIC+J8z16TfTdQv8kE5//v3I/Wu9cs0Pyz0G1j2wsHhmRM/nUSUb1d6v6 OZMyfXtR/+n4VcuKfv9Yv9s/26b/bbnf5WylhQWH3/h4ar5zld2Hr14/1dmz d75qu2JdPXoOqn6uUiFj5bMNWf4mfznVsPdU9ywHI+skTnjmP718My2tT/Hu npsGaEWHn5iUS5tf1yt55cNBtQKMYrULdW7XbInhdqtE88p3a7j9rhQZ2O30 dm3QcLfjp9tsNy7EHqj2YtQxt2UNd5VbE7xX6zCt/NgD3j2M3ZuPHr7fpEi9 oemBlWd82mXcOzrm7f6V27SuWX/mPLy1a7172cfku3Z1l5Hquiab64Nt2tTd d4OGFJ5Srwd/f8R+9fesX0VOr9EiX8nxQG9t7FF6E7Fzu7PYr+w8gl9xfcVf 5VeWiRKH5Y8lPioO3XtJ3GZXl3iquCVVlDifJ/4qzifc5VzOc17qXM6bzk+N av0actL43q/V0/gnY7+fSmNMnd3MfkKRbMazpsa3ukuKGSExYyeWPNRcS2jl l3B5eEPNZk53l5ofxxrTn+c8csN7nvHx4Jyhb3qFaO+cW/3p47dbezEt26SO 7aKNiTk2PK+xK1qLbna8QrsJlw2tTM1S3cst0/yHPFqXmhSn5b3bL+bOpyij ss2UFmP2xmmFjvc+t+HQCaN3Hpn/SJb1F+xv5CjfL0NeK+THoW8++ocdEntq pYl9zbE3CPv7nRF/GjQT/4bOE39fthT/rYjDBeKTZMp7Ff/XTnJO/amD5V4i bynxe7X71ZQKO1pqDxlH9W7zuFvwBCPOr+fz3smjDJeRtddZVdyqvWjUrobu v09bO+V5leZ/zhmHViYXqXjzglHe9piDT7NUrfS1Y4fj1qYaC8JfRDSb80lL aBP3dOTSCCM0YOwWr1FrjXXZLtX8fOWJVvVa5kNWhz9pI3ybtsgfk6otYb6e 9XFrZP+flvJ9F+S9SxD5r/OLvibo/2eq2LOmsdi3HHsfYP8n/DkaLP59ZlTx zNxc4pFC/r7+NyNOqPx+mSx1sAPceNJSzmkNedcOfX3RFxPeZEXIqvVavmMy zi+1bU+mrobhdE1rFz03wagSdLFD02pvtAlf+iRub5mijTj5Zb2jQ17LP02d h22sY60nxX6p+j7A1pLcx6H/hktPtO1WNYtYH6ytnyv5feZsu5+GMTPJf9E5 Tz3Lo96Zitp9Ng4zX8P6Ofb36y3fL0HeY0+R3xl9udEfhT0LsE8rLfa2w35/ xl/4l2uC+LuUPM3SWuKRCj6EPMmIqwo/xoIzvcDZj9SnMVvyX+cc00fIOfbB nl3Eb9PuKb9G732vjWaso23cVrxraUvb42e75FuSz7LAe3k/pxJ2esLPKSPD UspZ7i/3qPhj4SA9z5vGbb27eeoNTn9LPT5+gW6zbkBZ/yqD9CvJNjtavNig D9sSN3DLp9F6InO13pz95fj+NfIWIn8W+uzR3wp74rHvKGMR4hmAP8fJ02n4 24/6dwAPuoK/O/pm7EMKn8eD4+PA7z7gSiFwxZr6iKJe73+Wc27JOf86JvZW w94Xm+sXPjLbTh+2VcZR1zcUqRo2U2+YZ6v3zdyTdSfXSoZr+zA9IdPq1V4d d+iHsjbK96fcFb2rj60+LcsJffbDGamFl97Wg61rjrt2OVqfxVyth7JffV8T eY2RPwV9U7eI/oeMbbGvKPFdgv21yNvc1P9w/PXG/1PEI5j4JDtn7Nuq/w2h T+6gP44Fr1eB1znBtVhw5zP18zVK6mcXeXCvheRBTfwZiz+bMzmfL257Qt/C 2EAbbZT5dE9P/OdIxdv9b+vxowutc+36Uv8Wbun0Z32qvjb7/YSYYW/0q0Xa vY3a9Vxfw1ytq/3q+4bI24p8Nfqjvx72PCBPlb2e1P9t/KkAjlvh7x3870s8 PhCf5iaeo/jFr/nCQy7DP+ZWkD6Ys7n0wT3tBM83gucf+wouxYFLjtTXG+rr AnlSmzyJx18df4t7uiZpk17rDoxvx4w6GdwqTde8unzuvviVfqtLzVF9ft/T +29q9SCxSZp+m7laf8N+B5OcRshX+v6rH3seYV957D2P/fnBaR/882qNv/AA 31ISj47Ep9+kjLxQ8TdneN7fL8LvUu4Iv/g5WPjF66zSJ2+MlT45pITg/Rrw vhi41Qjc6kD9Hab+VB5dJY904vGKeKQtSJpds1Ki/pyx7po7rzwW7NEH13Cf Hd0pRq/D/AXrLxnfmOJ/1ZTXCi86Y09D7CuEvfuxP18p8Wfiooy8IQB+ZQ0f WwiPjjHxaMWP68OjU/4R/vw6XHjbr9zC2650E/5xD/5x4YH00f300Un0g6v0 g+3gmsK5S9TnaupT5dlN8mwo8XIhXiXHFVj0fehkvRTjv4zOrA9hv8rbAchT 9X8FfWacVf1rFPaewn5veEEH/OsE37oDb7WCx67hfnHWdO9Qoy/xTSeODeC7 9shx4Xzi0FMZ/nECO0pzviqOHU39QuWH8lPlo4qjykdX4qTiVYH4qXysx6jy 1lzvCle/o0/p74Y9Ko4FVT5ivy/5uBj/9iqeqvwnH2sSx7ume5rKy4DpUu9D yNsx3DMmkdfD4cveMyXvZ4AnUdSFK3ij6uYieHSEulJ4pepO4Zmqa4WPz4hP EvEZSN6puYqf2q/qWuGtuf8cNvV1DftKYW8c9leFh3pvEf86tRJ/mw8V/5eW kHjk4F7r7ZfxXqtwciL9ZyU4Oov+dBmcLUP/mgMOF4RPHwSnL9L/XoLjNeiP LuD8ZlOfVv2mmMl/c16p+lfz+iYcVN/rJrlB6KuO/pbYo/rgNey9jP1W+LMN /9S96xb+Tyce24nPANM7gOrbjrxj5Kksff0jfCmXv/T9vfApT3jBUvjWVHhD R/hY5ZbCK9bAG8fAO4YzKt6j+OM18kbxQVWPs0y4OsuED4dMee6MPCVf8a1h jHbY0wXe446907G/Lf6Uw79p+PsQ3nOFeLyH9zwyvZsoHnkAfn4cnlkF/t4H Hrocfl8ZnroR/h8Dj73G/UDx3M6MMdifmfh6kBep5MVVxaOpNx9wLBYc20V/ uMhc9V039l/m+7vIc0P+P+hrj/5O2NOa8RL2nsT+OfhTAP8W4K8P/pchHvuJ z2bTO5O617znnekv98JtvIO4cy9S7xGHuTd15D5anXuVul+FYt967PPi3Mdx 7tHUUyT11BacSgKnVL8KAf/H01dDmRdm/Rj7Xfj+APK2Ib8R+kqjfwT2hGDf be6zvxh/8l7QBf+O4G95/J9IPFKIj8eDjO9y6p69s6q8XwzjHr6b96Mx3NPT eP8o0Efu8VUZtxLPdPRP5FytOddJ1ItGvfzk3jAdHBrWU/B94inB92GlpW/m oW8eg49UYD6Lvnp2vewvTH9oj7w7yC+CPk/0Z1b2YN9a7B2C/Wd4n4hgjMbf ZvgfRDz8ic8w0zumevcp7CfvaUt4N7vKe1utufJuFD9HxqvIH4h8R95FRnBu namHZtTDZnDmDzhjA37vBL8LtpC+6DpM+qLnP8I3fHl/PAOPG8D8CXykDn10 Ge9m85D3mXezJPT1R78b9vTEvtzYG0/eBfGu9Zp3web4O5kxnXgcJD51/TK+ +6p3yJu889rwPv+W98oGfG/D9wc5l6fqXHhP2ss7yBfeiTaBI6/B5z/g8yj6 3kj63lp74RNx8Inp94SnvYen/YD/fmN+HR5nzf4exeX7rsjrhvyH6ItA/3rs yQ7OxVGfU6nXXLwXXuadeiH+huK/TlxKMzpsyvhObn4fL21atzPF/b1TxnyO fJ4RJzqa8Pe3qa+1NPGFhAEZediqcBO/rZPx3uARnvE+ljYq4z23ken94Lzp XWam6b1r4qOM74gdXDO+z742vXu//F9+V+B3pKP8rnSM35mO87tTBL9DneB3 qRP8ThXJ71aR/I4Vxe9aUfzO9d+5Wlf71fdKnpKv9Cn9yh6zff3aXvt78ZKT UadpWMC64NZa0aY9nvukDDEaBP/u8/brHO3XoMWrN1VdZzyb2ldvO/mUkat2 4/m/G97W5rzoveKYTbLm5eBeu86vu0a+eS2rr77/whhSROa3Xsq6K/s78/3z gSKvyB6R3wN9v9C/GXvM8RvL+gH7VS0PdBhmDBxfMKpfp3nab89hIyb+DjLi PJucWTZvi1br4P1eXlb3tC/W/aP3t3tnWHfp2S9z329Go8/n5yYtvKa9t7Ss vab5Gy3ihcxXdpX1xlll/64D8v2ehiLvfFORvxp9LYuI/gvYYz7fnPhTl/17 Ky/dXH3bDqNxh+xxIdcitYvBEw/6P9pujOi+aonDmpfGyZNxjRuOddDvD4xr sN++lJ5etEay2/qCljFXBjYv+LaiZY+9zP0GyXoq+6O7yffpW0Te7Y4i/yX6 bqN/DPaY82825+uEfw+w79mExRFbt8QaObes+Phu3WsjvdAq935aNf3e82wB 0esK69lGD68af7e0ntSsl21rm156xLrWg8rUHqqPY+48XNYXP5X9MXzfbpvI uzxJ5B9B3xD0b8Eec32cJf/2N5HzcNkj/sZi38+Gj+q83PWvHjBr24q9Nz4b EbNndup6oJeeVqpppUUfVuhVd52+lrnvLj3U8Gu6Itc+vSnzHKVlfSP7A0bK 910aibxVgSK/xF7RF9dU9OcdLPaY6/cP+V2O/NvtK+fzAP97Yd+Wl9X6Np49 Tr+VqXHbHC/26d+uxlhCXlh07yKHNtm8jdS/HAza/ebqYb0K8zesW9g/h+8D tok828IiP7Gn6HM8RP5PE3vM+DK+ltTj7EyS705Rkk/T3sp5uRGP9+i78S6s ab5c0Xq2iMhs9U4blvxLYvp+3H3Dsm7Wj/aN3W5aijDPw/oH9pfOLN8HIc8b +b/Q551Z9GdzFnvM+Fc5TfCjUmepz3zUx/hxkl93Od+c8RKf0+hf179Ng7iB iZawfiv7NJgfqm+J2HzTY2ys3qq/zANY38P+ZOK7E3mHR4l8nwGizxP9dZ6L PWZ87lpM8M7rneBJGPUbTD3UIN+qcp4liNdf7Gv5vLPHpzLn9O+dr9xz3XZU b8z8A+vl2D+a7x2QZ99c5G8sLvq2/xb9QY5ij7l/7Aefl50W/Gt3VfDlJvV7 kPo4R/5t4HwtxC+Lj9hnE+pfvN2zaXoe5mdZn8n+wofk+yPIK7Ze5Huir0Ws 6C89X+wx97d82O/0XfwJxL8PxLMy/u8lHhWJTw3OVyd+L4lnI+aNWH+2WPZP 5/tyyCtAPF87iL56xLOrKZ7q/IeSn0PJD2/yszj5+Y58siU/O5ryMyv2hBK/ xab8XMD+Inx/DnkLkV+L/JzYSfSPeZYxP1U9XaG+utAPR9A/Nr+QetxPfeak Xl9Qv/nRX5r4zuV8HZkHs/6U/QngxWrkjUN+CPqmof+7qd4VPrmAn/3ov7XA zyng56O5gncNwL/n6LMhPtU5zwXkb1PmadR3QfyrwvclB4m8GwVFflAX0We/ X/S/n5wRPxXe16YfTW4s/aAv/ffPVukXT+kfvaaIfBWPl6Z+tJr6aMD8Cutr 2d9gnXxfHnme9Ls9IaIviX7Uy9SPVP/8QT+NoL/awQ8+0X9/Ia8m8bV+Ked1 A/w7S721BB9OMn/GeqbXsv8W39+iX16YLPIrdxJ939DfZk/G/q74SG/4ySH4 ylH4S27sdQ4Sf0vDd/qRT37U24AiUq8d4Es/4EtjWE+m31yCb/XYL/JOIL/z v6LvL/pjTHxJ8TtrL+F7/vC/fewPx7/tHnIex8ifZuT7Ch+pT9cPgiePowT/ OrwBX1gvm0X2T4E/uDUTeVeRX9cPPol+D6+M/FPx5Q3w51fw03b4c4986Ef+ GlMkv2OpxxXgWXn6mTFX8HljUZknsl6F/Y7wiwjyryDnm4I+J+w7a+Lz/1fu R9znwgdZNfq043JpYwGj+rvz71rjJ7Z316a+P1vw+auGGvfCYy1Kv0zukNfH 6PZoeNXSAT0M7o/H+5zoELb671gt18StdZyjJmrcMyPehU6euPjoEsN5zKwl TtbzDO6jJ8pGxxxftjdA29Ji4LE+x/aoe2vkshLVdi91P6IdyJqeqWT0BY37 bWS9wlMrPNp2x7jlG3g20/mLGvfgqMoVO3hOG7/HGPxlxuW5lWLV/TpqaZ5j oYEjYrUCIe2cli+9bnCvjiqQS/5+4aPsV3/vVVPklOoh8pWc+ug9jz1K71js dMJ+ZedRQ/z6OEr8VX7FHpY4pBIfFYcNxG058VRxO0eck4m/ivMWzuUs56XO 5brp/NSo1v2RU43vc86ZW3fD3S7Gx9kyFrvs8DNo/zhtgNeD9FsHx2tpbfYt 2VZzuVHj3XnfvLmWG/M7dClZdM82be0Qjx1Oe1dpQfbhZR8PWGHM2RSW7Dni ohbwYL7rxJ/xRty0Til624dGsFWB6Fr7fmq5rQuP/Lwm1ZjfZUTRK+UvG3Nz WFVrm++J1qqji4PFsLb4VrlW9fefj1pIB5n3/kfWL7SU/RWzyvdhyGvkL/Jn 3xd92dEfbSf2nBgk9tXqKPbewf7cbcWfpfg3E3+nEIcejOuJT4Ip71X8i3NO PTif5sgrj7zBz2KKh8csN+YwPqu7v8ixcSFas3PNc/0M36llj5nu1WVrpLEk PF+BPQ83aRF1i1ZafeeCNvVOpuhMo54bHwvNXeThk1d/ljg5+efbD1r/OS+S vFMyW7xi9LJ3grLoORuuGdowb7rhnNPBcUL9OK1ryc5Niwz7Ry/9au6ynX6v DFtHmd+rIOvlvWS//xn5/jvyal4X+cfRZ4X+NnXEnvOnxL4xZ8TerrFif3U3 8Wc7/sUyzsL/7cRjK/G5YsIJld/1qYO25H9fzuk6eTeXeP0ifrOyV/D8synS eP6PjA3m/i6z0HGWtnue3bRf528ZgzqEpR25UESf3ON5yVN1f2m+1n1PWebn 0F1aNqi1vLqj5f6SpU2c2zXWd1+MbfX3VUlLYOfaBWcHdtTz7Z5y9plVbT3s V+3H62f20jOVGzeyfXYPPYa5+y5Zf8T+oDj53oK8ycj/lUX0desu+mOwZ+0C sS96sdh7NYfY74Q/JYnnEfytSJ6OJh6biM9cE64q/EgcLTjjCL64UJ/7qNfM x+Ucg8m7ncSrzTSxJ3auRR/kYaNHMr793GRJdKVClgGploQDL50tN1afOL+w Smd9SN2TW3StuL6mvZ1TWZcZ+oarxarf1Ebo5RLSL5xqulnfXH1kwauZZ+k5 swdseu27Vz9eofeLV7Hz/zuPYb0E+z/z/XrkPaon8jegryz6fb6IPZfniX3O 2Nlmh9h/FH8m4V9J6uoZ/u8kHo2JTz9TH1L4fAEct6UvjQdXUsE5b+qjn5vU x3fOuT3n7IG9L4mfT+TWau0CffTWjD9t3zeZt3qdvvv0xzSrUav0LqWXtV82 /7juczj41MTEUD21e/aR3S79zz39X4+HVWtF6aXtSlVYMyNc/9ugfOzMJ6d0 O+YhrL9hvzff90LeDuT/Rl/KCdF/ATtKp4t9m7G3AvY/7Sn+tAGP3JLxt6j4 3yNQ4uFPfNZ7Z+zbqv9ltqZP0h/bTBG8fgReT04Q3LkE7nxrLvXjnE3qp0F1 yYOP5MFJ/PmMP6dO9vA50T5KP8OYKXzEz9EB2/SV/TfsHtz5iH7Gs3fB0W4J lv2Txn4d+eyEpUmwl59N65sWK//2i1NDYi3uzK+zHs7+8XxfC3m3kG8w5ikg +o9jz7A1Yp9bDbHXHrxJayH+RBcW/+yvib8pD8V/26kSj5CSEp9p1hl5juIX 9boJDxlRUPjHk8zSBwv8tf1PH3wVLXj+dIbg+dALgktFwaW21Ncj6qsLedJI 5Qn+/j0q/u6uNObdLv/rlihG69QBHRpdPmHZt71522jby5bJLVMr33ocoztu /ZB5UetIyzjmO1hvzP4Yvt/KmIt4rkWfJ/p7Yc827BuAvfbY//a8+FNrtvj3 BH+X439X4tGskMQnvGtGXqj4m9dn4XlB8MS72YVfOMFHptpJn7xHX/0D3vuD 9wfArQrg1l7q7xH1l3ey5NFF8iiQeCwgHocSqs861fmivpTxnHfSpBLdIvUy I/+EdP0Qqycy38v6fsZFfH8CeaeR/5S8vYV+hQdlsG8F9hbD/nv0txua+Ofx rth//HXuL/775pJ4TC0h8Tn5NSOPVvx4FTzaBf58G972F97m91b4R3px4R8+ 9NH99NGz9IMf/0g/+AWu2YNrL6dJfXpTn3e3SJ4NI8+qEi8L8eqUo9XLMiM3 6G0ZWzIeZ700+xfzfWHy1g35b9BXHf3WDcWegvSrEOzdgf0a/kwsI/5t/yT+ XoHHNqwq8XDLJ/Hx2Zfx3qHGN+kS3+U2su9HTon/R+Q4f5XzKVpK9Hzk/CZj R6Cpz57m/IvjRzr50QI/w8kfFcfD5JdBnE4xNiB+l5mfZoxU+cj3G5FXB/lb 0VcK/cexR8VxCfZGYv9+/LEvLf65vxd/XfG/Gvl4j/vbqK8Z72kqL0eDj6VL Sd7aZRE8eN9b8rryacGLjeT9WfCxHXXRF7xpQN30BI9eUFdzwCtVdxHgWTfq UtXnbuIz0pSn05ir9fbs92Lcj7wTyN+Cvnj0D8QeT+yrh71lsH8u+OjnJv6N AR8/DxH/ozNJPPrZS3x+d8l4r1U4OYR77UFwdAz3t17ct0ZzD/EBh3d7S387 DU6H1pb+dw4cV/ymNzgfRf8sQR/IzngY/8/iv8qrpuRVSerVi/kh1mPZf4Dv f9G/vjAmoE9X+rEnCvtSXMTeVtifDf7uiH+j8PcAfWYm8ZhLfOaY3gFU384C f/wH3vNzo/Ald3jP5yThU9vhPUnwx4pZhTfUgY99h/fMha/ZwTsyMd7Ev874 t4S8eUveJFOPWajHZHDORvFJ1u+zfxnfe5vOKzv6rBkD4JHtsW/zE7E3NbvY H9RN/PlbUPzLir+P7oj/uYnH8OISnz3NMr6bKB45mfuMs0V4ptNg4e/5CgkP 9Y0Sft/PVXjqae5X6+CxC7kneHzl3gDfrUM8T2D/YfLCIC+6U292pj7/ln6V lf7wkXkw6yXZ35XvDyMvDPn54InB6M+JPb7ca95yn6mL/YncZ7y5Z4SpdwIH 8T/3UIlHyml4+JiM70zqXnOL+2II954T3CfdeBepyn1+L/emotxLR22Ve1VJ 7lcuxHM29n3k3IfB1/dQ/0OopzXg1Clwai/4vw/8j6Ovqvv1ftZPsn823zdF 3sRaIj8Cft2XOsmDPV2JX3Sk2NvrsIxOOcUfx7Pi30z8XYj/34hH4TCJT/FJ Gd/l1D37KO8XQdzDN/K+UYl7ejjvH995p3jHGM/9fi3xzUae3iBv7/lKvXQD D1aCq87gUCveKULhpTPgpbV430kpK3zksYPM+7Hu3Ej2u/P9llkiL5F7SRr6 QnknGVZP7KlI3l3gvece+RDP+0Qc41v87YD/94hHCvGxfpzxHVO9+7znPU29 a67gvW0D70ZbGHcivyzyc3NuKm8bRko9JBWWepgMznS6JzjTG/xOBL+teTeb 7SN98Sh8/xW81eeZ8LgI5jsdZb1sZ9l/CR6xDXnLuM/58d65lXeBJOrzb5jY NwN7e2H/EPzJ9lz8i8Zfg/EE8UgnPlYfMr77mt95A3mnVO+V6h3T4Pu5nMsK ziWEfF8NHowEV+3B2S3gczdHwedW9L0N9L3J8KtHFYRPhHCP+pwTHvuv8N+k HDJ3Zd27suyfzfc68ny5B6+jXx7nvWVtjNgzDZzLRH0mY/97/PmKf0/xdyf+ 3yYeyYyvTe/k5vfxGNN6ium9fZfpXf6U6f3+4OiM+OvVPGNf62HiC3a+GXnY uM8Z+W23vRnvDcGfMt7HCpt+/7hoej9IN/2eEm9670o1vSM6Ps74Pvve9O6d +r/8ruBUqbZjn0zHnWf71e29YlxeF9usM+c8vlzf9Ve9sONjfDzqzHhSeMX0 12XrNmz9flKzzI/r5rTU7FD5r59bZc9W277WfOW2bWnvy/en1K/XJzW4svWI EfVmXrnaadRe///O1brar75X8pR8pU/pV/aY7Tt55PsPD9cvp8rbDzjkfj6/ 1i94zY7H1qWMpBFba5zZ6aZNiSgd1DnPGC3z0GbBeU5uNXJNXDrhw7sQI8zq 9fC08Qu1p4dLBtue2aV9q/e5RI9v67SyzBezfnyC7J83RL5vcULkLR8l8iPR NxL9uY+KPeb4VWLdqe+eUiXSKhmhYz23Xt5eWTu5rVauCjXKGYtiXA/3dtxk LBvRcEKCEaP1Ds3uFjjshjYzMLJ10dXLja/rm1dbFJpgZDkWXSSu4EXjMvP1 W2Tdif3N+b7HGZHX7qDI/zwOfeifgT3m862AP5Wxzy93tQmpZ9ppXsXa/4if PcVY1jg25mvQae3Gt3cvukbeMwbuXrYhatlnw8W2xd63S25qPWfb9kuZm1U/ v3DAwsKrc+q5mbdnvT77m/L9H+RNLSryN6LPBv0Dscecf5OIf9lQ8W92Efn+ jZv9vWsTdmi+3Y7djk54YmS9bGtV8WYm/U6nQYOdnQroR8pfDfzxtIhefdRz nyTvBrpfrR/rPR299RrM97G+kP2WS/L9DeSdQv4L9PUhvvewx1wfruSLC+eR hL9XkGc758IFB8f8+uwLG/8tdqam5Z9Wtg/nONe2+Hdv37XX9yl6wVcfjt6f sE7f9WPU5LjpQXoR5utZ39tS9rfi+wbIO4v8l+jrhX4de8z124f8rkT+PP8q 57Md/6sif3Kh0INz3tnqS4L2DvAeEqQXDJufZ1KPM/rztQuMCpVu6GNO5fXI /CRJf8lcra9k/6MC8n1n5EUjfwT50B39IdhjxhcH6rcT+d6JfDrDeT0gHnPQ Vzr2Xpti3gl6wS/jth2u+VSvd2Fn/GP713rwL48/h1Ne627M1Xp59it7pyMv CPm26KuI/u3ggxn/dv549R/8eLJM6vOLjeT/3gqSX2vV+RIfpX99+Is9KT6v 9by5/b9V2pSiF6/3cM8xp7t6PuZqXe1X389BXlHy92V+0TcGfLgDnpnxecwh wbst68CTWVKvXaiHQuRbKufpSryUPZkCi90dlyNaL7v0yJkz2XbomZmr9Trs V/lRGHm1kV8ffDgNnnUCf839w6GO4LPjUcE/J/BlJ/W7l/oYQf6p83UkfiWx 7/6Y1F8lbXtbyjEvyXoI+8fy/U7kdUf+AfQVBH/j6Rfm/uYWKvY74c9b4tkG fx3/l3jmNcWzPPZZM1frKl+f8b06n1LIb6HwF/3zTfFU5+//R/JzzEbJD1vy ZSf5s4F8sjPl52ryzwZ7iprycy3rhdivvl+JvNHID6MfHCI/Z5nyU9VTXuq9 F/XWnfr7QT0+oj4XUq+lqF+lX+WfOl8X5nasl2H/Mr4vAf7GIt8DfR3Rf89U 7wqf7oBXI8GvUPDsHfg2ErwbUzgjfuYnPiofRpJ/al6AdbX/d0H5vi/yUpC/ AX3D0B9vwk+F9yXBf2/6wV/6Qwr9QvWPycg/SHz/mw/k2zbqQ/UnhT/t2a/8 rYO8q8i/i75/0Z/T1I9U/6w5WvppzcPSXwvADyLpvxuUPPy/zHltKCf5lUPV A/Xrwjwn+afw/CrfH0LeHeSH0N8fHBD98039XfGRA/CT3PCrbHmEv1SHLyl/ D3I+FVQ+FZT8t1Cvt8GXDswfUB827J/F9w+Rt5J45IQvbYEv+Zv4kuJ3x+B7 mfsJ/zuOvYkh4l8K/HM4+VOBfD8TLPW5YYPgiQH+xYIvDYJk3Z79A/i+HOe7 n/jl8hN9cfDPRSb+qfhyDfjzHNZX4U/ySIn/Tfj8JfI7kHp8aS34kemI4F3x +uAz+Hchk6wvYn8431uRf6Gcr8Me0af0O5r4/P+V+9GRcokVupwcWNtxZaNH RS+8PFWJUf3db3WlVY+XZNI+5e8Xt7fLP5p/qyse2VJDXAL/TB84f669kWvQ 5co9uhY1+gZ1sFoz65zrm7QF1cZvqKDFR4yb3MjHWftR+3ziNZ8TdWratvf8 PSqfMeD7+nc37XtrWxv+sydr9nl1q7wbUb/cwWnGjRfji0xJXG4csxpll5Du 5LbmQt5/fubcqXmVKL953YFNxukN25e9bhvu1qJ+3s5/HIK0qZV/HNk4b7Jm c35WppDM9vVW5r2ml/q4yxjTduyY6tabtBG5m8a6tOhSL8ugKrk9FwQZtQfm +tbTd622blpSoy8nJ9WbO1D+/rCN7Fd/X4ucIOQrOUXR+9NR7FF6h2PnOuxX dj7Hr0Y/xF/lV6NCEofoExIfFYdOLyRuo4inits74tzKVuKv4hzKuWzivNS5 LDednxrV+mvOcQTfz9q37JfnhmLGQsbU+bc2bFpTTcsa5u36O6aCNuHF6gd2 UcWMtv8ecD7jUseond25c5ES/Y3Ynz2rF5842yj75Ms+J8892v7qbsGxXvu0 lmumvJg+Msb4eaxYhdiQKK1xmNUlq4gYI73ZxvPD2i0w9n61tO5y/qL2vGiJ H1W2hhtJeW5/uxkcpTlH93daUXufkTe3zDuz3pv9W5vL9+WQdwD5pdDXGP1L sWfCL7Hv2T9i7/qqYv/0V+LPcPzrsUD8TcX/P4wRxKeLbca8V/E3Bso5reB8 Dh4WeT+IX8m5CeFH460N7/ky1st1Yci3kf0Nq31Tg3uU6WJELK2TNN52ndbG v/P0TQ77tJGHpgxZM/SckebdatXJu5cN7xeps2NavtAO5bLv8GNcitG5dsjF vX0/aI08trg8CVylpU/ovsfJLdg4P2/87XexT7TdE382XzYyXYv8Vf5Cq3ZP tK/MV7Fex1/2t/OS7ysjbzby7dA3Dv0PsecP9iVi79K9Yv9i/HFfJP4lzcBf 4hlLPL4Sn8ImnFD5fYg6MMCN65xTBHm3Z4/oy4O+hU0eJp8vukL7wTh/Xovw eLdTxqkj/lOa57hmOL/OH3C730ctbWC93+tPP9Xiqt9zXl7OxjLzZfVls30y 6eeSZtvf/Mfakq19pztH6yRoEXlXDZ7j6abb3K/f3bHvY2PB+vQrX5o112Oc 4hvPrfdKG8t81l1Zj2R/tXbyfV/kdUP+QfRNQf847HE4KvZ9xN6X2J/M6Id/ O4jv1+fi/y7ikRl8uH8iI64q/KgIzlwGX3qS/1PI/6ucY3fOMRP2nMSesNSr 56r980kby3joYGRs87jSlpmNBu7M3NXOknX/pQ5LjpXVv5Tts/Ffl7KWplcr PvZrMUy/cahj6I333nrY1+qLE5cu1nPY7qp8URumd39/ctL+xYF6tmNdPhbY NE7vpeasn2T/c77vjLxDyP+7T/Tp6D+HPQnYd5bxIfbb4c8+/PuNv3/xX+FB TeJT50fGPqTweSY4HgJ+O4ArPcEVZ+pjE/Whcc7tOefy2LsZexdMio6IfV1O nzRZxtzPWryY4DRH/zz0wqlSpfz16UETn0XNOaLPWbH9cpjNLt3W98TAu2+v 6L+m5fSd2TdSf+F6ZFy1hNv68QOev/ItOf3f+W/WC7B/Nt/PQJ6SXxh9n7DD GjtisK8J9g7D/kX4cxf/NuPvDPwfQjySic9eU99W/a81fbsB/fEzeP1tteD1 enDnURq4Q/20oX7OkQcbyYMU/MmDP555ppX8MiZSb8rYOvv4Lstz39e/HV1V y9h2W6/z9Frf3h9f6GWnFLMNHpGq703IUrX209f65tfbDmzzff7feWnWXdmv vm+HvGbIV2Mx9L/GnjLUhcrbHdjfCH88wNVJ+FubfnWQeEwlPsmOGXmO4hd1 ywoPWQD/aNVA+uBc+qBTDcHzgeB5dh/BpXBwKZH66kp9TSVPZpEn6fjbCn8P pURcPvbrlX6AsVTpK6NKlk3TVxy7Wty65iv9av67tg/H3NeNZeH1phVN0+OZ q/US7FffK3ltka/0Kf2zsMcD+15h70rsT2kr/uTFv9ee4u+bw+J/HLzgrbvE Z72JFyr+lrm18LyGNsLvrtoLv9DThV/smit98mcf6ZODkgTvF4H3+cCt4+BW OvVXkPoz59FK4lGceAxJWuRzJy5RH8S4M7NX9zpe+/TPXo3anww4o+9gPpj1 oYwqnkqeC/KVPlX/P7HnCPbZYO9RU3+bA2/YDi9oDb9aBd9qDv9Na5ORRyt+ PLS/8OirA4Q//zgpvC0sp/C2Zz+Ff4yaJPxjvrP00WH00UL0g670g1Bw7RW4 Fkh9BlOfKs8ukWfpxGsb8Zo9+uzlby+n6wsYVzNuYf0L+6/wvQV5e5C/BX0K V49hj7IvN/bOwf6U6uKPBX51HL5lA4+tB4+N5X5RxXTvUOM98vEtcVxbROL/ gTiW53w6EMfAZDm/ydhRnPPthp3fOH8VR5Ufu/FT5Y+Ko8pHFcetjEuIn8rH 3aa8VPWv5CkcLYc+Fcc/2KPsy42947D/DPn4gTjux9/t8P8I8nEtcczZNuM9 TeXlyopS767kbeOmggcVyeujDQUvto2XvH8D7ztBXfw18ReFj6quFV6putsP nqm6VvU5kPgoPFR1reaDTPWsxoPIq2PqP3boV7zgMPalYO8l7G8FPr6F309s Jv7G4/8+8DGQ+Mw03WsVTjalX3vQZ9LpT+3oM7voXzo4PJ/+dgicfkL/awuO 36c/zgXnVb9uQx9Q/UbFU+HmClNeqfpXc7XuajoP1f/V2Bx9il/9xp6O2PcW e5X9A/GnE/7twF93/E8jHtWJT+ESGd8BVN8+Bx9aSl9fCV9qR9+PgU+1gRc8 g29Fwxv84GON4BUD4Gt54R05GL3wT/G9r+RNAVM/UvW42YRzat3OlOdzkKfk m/WWxJ638LKB2HsR+w38aYV/4fir4f8S4jGP+ESa3k0UjywGP78OzxwMfw+A h36H3/+Ap/4L/58Ej73H/eACPPeKus9gfy3iq3hyS/JC8eid1Jvqq+3AsSP0 h47Mf7B+gP0BfN8AeS+Q74W+juiPw54zjJexdzT258Gfx/j3FH9H438n4nGa +Hz/nvGdSd1rskTKffF9Ebn3zKsm98kF3IsWcr8+yb0pnPtoAveqg4z7sa8b 9g3i3I9z7gnU03TqqVCo4NRjcKow+K/u03npqyOZ5zTxlQ/gXEvk7THx6w7o 74Q96v56DnufMAbjzzr8m8X9+hH+z+F+PYR7YZzpXU7ds7vxfjGVe3hb3o9c eE9ymifvH7u4xycz5vQU/bmXif6/vFNc4FzjqZcW1Et3cKgaOJS1peD7tGWC 798eSt+cRN/8Bh9JZB51T9aTJsr+S23k+0zIa4x8d/SFof8s9mQh744Tr6/E rzT+FGK05n3rNO80VsTDgfg0Nr1jqnefWbyn1for70LN98t721nejdIYnXg3 W0F8i4bIub3i3A5SD52oh+PgTHNwJgD8tgK/s/tIX7zzTfpi2/nCN/raCN/4 BI8rBY8Lho+soY9uaS7fX+XeMQT59dG3C/39seci9m3H3kDy7sBb8afNCvFv Fv5OZMxKPKyJT3/Tu696hwzmnfcW75SXGO353o7v3TgXJ87lRBXJ92p2ku+l wZEl4MhS8DkAfFb31HTuV8PbCZ8Ymk/4RBYH4WkevLP3Py389yS8LQweNwr+ cdxbvr+PvLXIn4S+iejfgT1Nsa+fvdh7i3q9jT9P8S8r/qr327PE4yTjZtM7 ufl9PMa0PskU9+mmfF5hwokDJvw9aupr502/G4RWy8jDxrXLyG+vme4NBUy/ a/j/m/GeG2N6Pzhkepf5YfrdJdL0jnjU9D7bxPTuveR/+V2B35GO8rvSMX5n Os7vThH8DnWC36VO8DtVJL9bRfI7VhS/a0XxO9d/52pd7VffK3lKvtKn9Ct7 zPYN6G4XOXVjdaPO6o0OWf+21vrFWEWu3TvccPOwyWJfYqEWeKBq2OTlW406 n7u9/7ws0lji7zyw4MVErVepJ6W7e1/XFnVxd8+0ONHIk9Mx/p/sD40FvjL3 cpT1AexfxfduB0Xee+RPOiP62qwR/VN7iD3m+HXBvvlFbJoW+zjCSG60d9Ga X4u0jQvH97kXsNvYdKz645nWR7Qzk+5+0ape1hZ2Sa3tUfWLsT46U6vl7T4b cTUHr7ndNE277nvfUvfxJy3dVeZHT8n6Zx/ZH8f3AcdF3shFIj+/h+gLKyr6 l2Kv+Xz9iN957Ct8+HjRKf57jRxV9epPep7RMtu1rd8vU6IRcP53D9dh6Ub3 BQ+abh5YVK+YkDt5fa2S+rDd5VwmeNpZNpfK//732fKW1SEyH35V1geyP8sF +b4K8gKR/wd9yxuL/vbE15x/E4n/OeLXku/HtVi3vdyeG8aRNs0unKt3y8ji 1a98j57l9dG3bpSbmS2bfvtpmnuXx866z4Wr654N7q3X7P321qERQ/UOzPs9 l/VJd2X/maby/TNvkefTUuSHVBN96cT3YBOxx1wfo/ZLvniHy3l8sRV/bTqL PJsBEX3POzvqg8b3e9+kQyHd0WhUxeHYcD2mudue78VW6582pNyIfrtLbz01 T+lOvffpFuYrWG/Afq+x8n1z5FXtJPLvFBB9EegvRz2Y67cf+e0zWfKnIufr TPyGTRH5K+0KRnZ55K+XqX3uz4pl+/WFTYwaea+c0v/Yflhft2qEnr93s9rH Bh3S7QvIfBfrtdg/ge/rTBV5ScS3UKzoazlR9Of7JPaY8cV+utRj8a6S70Hk 0+EEOS8b4vHWWfQ5uzz/Mmn9Sb2AjUty5qmGpUibSaMv1b1uydxscYs/N65b sjIvyfpE9n/me1/k1YwT+ZUXir4U9C/EHjP+5Swh+HGD+rxL/oelSX6FcX6h xGdPHtH/tmLIqpG1r1n2xcV2vTkwRF/b9MT8RVfP6J+Yq3U/9k/n+yjkFXwm 8jtRjxXBj2PgnRmfr3YXvHN0FzzJtU/q9SH1cJV8K855lide47Cnvs+c/Yeu n9UHrUi8+fx+uO7B3Jv1uuz/Tn48RF535FcPFn3RtUR/Anhs7h8rcgk+f+8u +HeltOCLTv3Wpj7Se0n+2XG+m4lfL+z7czG+s/HvAr038+Wsq/3f+L4R8s72 Evm9wLO9XdGfXewx97fNXcX+/bXFn3p7xL/Z+JuK/6eIR0ni8/oi8SJ+A7Gv NvO2xLMY+0twHs+QNwz59sTTzVn05+maMZ7q/BeXlHzoRX40jpd88U+V/NlA Pk0hv86Sb7aVJP9aYU8g8QvH/g/kZwr7l/H9DuQ1AX8no68O+veUzJifqp6q UV8O1Nsr6j0mUepR1ed76rUb9RuPfnfiZcv51mTelvVp7M8FPq1FXvUbIl+n 3t3R38ZU7//lL+BVZfBrKng2CnwbNlnwri74lxl9c4nPT/Ihnvzz4Xx3sP4X /xby/Z5xIq88+NyYfjphiugv8iUjfiq8nw9/qQk/WEz/9Wkt/cLoL/0j3wSR H0E8DnB+T8i3otRHHPPNrKv4dZgo39/oJ/I2taLfFRR9q9FvHMzYj1T/DKaf PqC/NqffxtF/Y+nH84jvr6tyXnHk13LqoS748Ej1e/p7zCXZP4D41W8v8tLg D7PhE5nQf9QjY39XfCQYfpIOX3EME/7SCHv/EN8X5MNc8mkC+R9Pva4Fzy6B v31Y91D5Rz/eiryH2HcDvrQU/W4mvqT4XQh87wb87xf7n+BfDOexgPw9Qb4n W6Q+nV0ET9x7CP7lpF8kG/BTtR/+sAo+Wxr57dBXHv3pqzPyT8WXE+HPgdi7 AX/WkA/fyJcD1NtJ6rE5+FGlm+DdJfpFYA+Z36IfH2R/Y/jOL/jQB87XFn02 6Hc08fn/K/cj7nPhmxu1/14vZykjkPG/fx85d82Hbe6ax8dZEdqNhupeeGzv w4/X1i/vajyf03tNp/u91P3xeIFZfut75pmouRTp55Po6K/umRFrr4+qOG3f KiP6+Nd0zzIrDO6jJwYMuZWl/7mVWonDpdza1duu7q2RbmnZR0X0XaUl3Lo3 49yL8xr320j7XIWv/ul9x/g4NT555boz6h4cZSl1+siMRvs09xlNfawKxhrc l6OahfWYkHtFgjbG/lSBO7sSDO7VUXP4e7nZsl/9PdBF5DybJPKVnMM5Re8w 7FF6bV6Ind2wX9kZMFT8Kh0h/iq/7G9IHOyKSnxUHB4Rt1lzJZ4qbrMeSZyf EX8V52Wj5FxaNZbzUudSu3HG81OjWm+BnA2c6+rAM7ZHevsaoxhdz4xwylRg krYhxOrp5RyTtQepO6r8urTG8K3Z8MGF4muMpfHHps1L2a/1fO/Sc4G2U7sR n/1KGd+zxrDf5bf45zqvDdpwNMfQNbeNqQeCL25Y+MCIO3uoU59v37QH57/u fPThkdH1TsDHSp8uGTWnDKjSfMFD7ed4nw3nXvwyVg+fmLb29CttkZ/MI6bL ussH2T//nHw/FXmVkf9gvehbjf7VCWLPE+yLTxB7s9US+6Oeij9z94l/Jc+K vz03i/9LGQOJ7xtT3qv4p5D3EdTBVuJVm/hF7BtT1bXzWiOG8dv8rXY3Rh7R 6vfO//RmllBtWdPGHYt0vmS8Xh3lO7FZqHGy1cH64a5hmtfXAgtOuz0yCjV2 jQ/SrPU9R6Ljcn3/pV3I8+xVgeRcFqtP+VLHJGX+Hz5Ybn/KgmNath3ntm9z vmt8XzitSZ95OXUnt4mdDl35ZGxh/j5M1kMjZP+b9/J9B+Slh4n8RuhrhP79 bcSeO2vEvsZeYu8z7F+zQPzZt1/8a8doQzw9iO968rfH3Iw4ofK7PzhRhPxf SZ4lkXd90Jcdfemxm9y72V8w1jAuWmQzePHBWO3H5cyPT/se1uqcPh+6JV9u /fvFhMizoZn1xYtzn+1gk0dv8W3ngoPXSlqmW7UPuzvTS3//Y3rPvQOKW9Kr D6tQ91YnPWTQjs9+Wdz0yXPOzhr4rZceudF1c3Hrprob89TBsv60muyfnC7f /4u8RsiPXCL6asaJ/nbRYs/xK2LfkOVi79TzYn/IBRkj8a9ZH/F3DHm6hLy9 QXyCi2bEVYUfhcDVEHB25DvJ/0PUa45Vco7XybvesWLPtoViT3LUzzz/Dsqk R0fKGPCg1eWkdYcNu0J3ru/KUsNS5NLdruOfdtfHfaj7KUtVd/3Sy3W2s//M 1Gd0KrKjW/vR+vLlrdwfVNuqtyx/cnnI2tl65oGOfj06h+i5in3fPP3AQv3P AJm7sb6G/f35/hryiiK/MvpSCop+q5diT1Ps2429L5eK/e3ixJ+lzcS//fjr cE38v0s8poG/w0x9SOHzYHC832DB7xngSg1wrgH18c1b6iOWPLOKkXO2Il5W 68XehSGvOy450ku/w3j9UZ8tXX6u15M+h9cMnLBaf1cm5d/LjY7rc68UbxL+ JFT/0/337fvjTukPXvQKfjs3Unff8DMofH+YPuxN/s6nz5zUKzNPZ/0V+xfx /Vfk3UH+Q/Qp/SMYAzaKfUnE9wR1kx1/HrUV/yzp4u9B/N/yS+LxkL7tHpqx b6v+1/K29Enrl9If3Q4KXkfSH3yOCu58biS4M436caJeZ36UPLgWJ3lwCn9u 48/1ws7Bu+ZF6gmMX3+UtDTtvVH3q1Z1zOM8h/UV0/6et024aqmdc8rP9Q9O WPpuzBYx/8d1i/3UmlObPj5n6cc8JYesr2T/Ir63/SnybiL/IeNb9Edhz0ns m/1J7H2N/a8V3uBfn3Dx9zj9Kv8hicf5JxKfl7cz8hzFLxZMFh4SAe95Rh+c fE764F3w/LON4PktcCkMXGpNfV2kvvzJk5xlJU9m4m9p/N0c0D7257hEy0rG iOXLXwS5RVrmft/zvHm2S5bkSl16ONyO1ueMd/16aXuk5b6asz6B/Wv4fhPj GOSPRZ/SPwV7grBvHvbeU7j6U/zpkVf8O/RR/L2K/9/hFY+Jz3MTL1T8bfUc 4Xlz6gm/KzhT+EXKR+EX+w3pk/nKl/9Pn+w1RPC+BP3BEdw6C24lU3/5e0j9 FSXP9pBH04lHT+IxxMezrcPX8/p4xvDyXWpX7half/EpFNJoYax+hvk41ocy buf7ycjbifwf5G069f8SexQOe2JvOPY/p79FrxMeMGC3+Nvoofh/Cz5WsLLE Z7mJRyt+7FBEePTUI8Kf40cIbwuYILytjbvwj5+LhX9U2SR9tBp91IZ+8JN+ MANccwPX6lOfI6hPP/LsNnn2nnhdJF6aTexz69+b9LaMvoyhrP9hv8rbJcgb gvza6KuO/onY8wn7SmDvAOz3hxfYLxD/FruKv3fgsYuHSTx2H5b4rCyc8d6h xtkzJb47uId0nybxPwz/fbBfzqflItHTA/7hiR1NOd8v2PmI8y+IH7nIx/74 GUT+PCIOPuTXceIUw9iY+B1jfoLRl/1JfL8FeV2Q74K+Ruh/gj3fsM8de8dg /13yce988W9tsPg7gDjWnSrxKE8cT87IeE9TedmTej9UUfK2NnjQ6Ynk9Urw InSI5P3db4InQ6iLteDNDOpmInhkTV13B69CqbvV4NlC6vIk4zBTfF6Qd7eY q7pew/6ljEreHIUb6PtNXc9X+Ih9Adg7Afv17+JPyW3i3wL8jX0m/nsRD6+q Eh/fqRnvtQonh9F/AsDRCfTrVO5bc+jXA8HhvfS3EuD0BPq1wvF99EcbcP4C /dOXPvCGfr0F/9fiv8orVf/bqdcxzHeyvoX9C/i+JHKzMd5H3x/4kIE9B7Dv X+zdg/0p+HMW/7bg7yL6zE7i8U9uic/82xnfAVTf9oUP9aavh8GXUtdJ358P n+oKL2gL32q+THjDRvhYBLxiBnztPbzjOWMy/qXj3zjy5jl5U4B6zEw9FgLn cvw/1Ln3X4/v+z9uRMN4oiJ7RHYoI5XrSkJmpEhokNIimkJSRrIqNIxUilS0 ta9HKtmVJLPskTJSEsL3c3se9/N5uz2u2/f1B7x/Om/X4zzPYx/34ziPhwgf fuL8btzvCn+9BP0X4FeHNR7yzEd/roZ+VxvvHku8e7bhPVmGfvkx+r7uf8ge n9AXKqdJz01YHzkOc5NFTtRndm6k/v0o3vfReJceXEZ96oky6v+D8d56zd4x +dTntrtK62nI/wb2lSAuMlj/gXyLRb59BI59Ao6dQH1g9asB+xk4fxD3T4Je Duj3gb0Yf98wyHWRVlvIux3yW94lfbyMSb9eoaTvXug/BvaoxZxpkWjOxN41 Z/Fe3It3z068J/XxLtLFe1MD7yZHvEeVg+ldFY7VBPJNh3zpiNPuiNvXyKdM 5NN24JQfcGoU8N8O+N8BdVUR372xPw3n1+D+V9A7if769QHiNxFxZ4N3ywi8 B69jHhB0kNYReGdzmF8cwTxBE3OhO5g3fMG7+WJf6bkce2cHYH4hv5ve4Scw 38jEO/0E5h8leMdfxWoCew6AfWvh1yGm5FdP5P9u4IHKD8Khp8ChzcD3lCzC d1X0Aasx3+mC/srhMH37o2+NaqHzj1DvtHoQvZ/Aua7Iz7fgn4I8Mi8n+XJh r2TY7wD08cO6HPquhP487JGAOcVC0RyTzX2aMU9LwFwoHvO2cZgbaWANBf0s 0B+NOJ2PuDVFPnxGPmQBV43wvjLDe+sE8NsGddGgDvNE9Ff30G/MR9+6x4u+ XfAecMH8MbmR7suVEr3VoB8CXAsEzn3BO/kL5noGiLN8xJ0+9BkH/S5hXpiM tSvsMR32iRDNfdkccjnmvKWYUxZiPYb7KbgfBL+0R9xuRv7vAh4sA46cBs62 oF55viZ8tsA7tTvqXk/0E7snUj8hQd/6FH3aS7wH1DPoW8af9hdOo/PxpXR/ HuhpgX5XzNGDMW8xBa7FYI7L5ua/ka/RiLOx0M8Y+qpB/4Wwxzys3/Wl5+Ti +fgs0Ry9XmR3b1E87xbN71eJ8DcuRbqutYr6hZZt0n1YlZ90fzuxr/S7ocNe 6ffYym3S79yvovmBu+j/lCrRvOu96P+ZaaL57CXR3Lvr//hfYUnPR2daijMm 76vad3CfTdepTkHn5qi81Z5262vZ/WVr9LWK22V6trwcNn1h/4jnFzJqp397 pTOo5Yqb9iXPt0dlDr3XvuBr+vz7KW2dOYvVDgV6Ouq8iB0RNv7itv++2T47 z+4zeow+48f4M3nE8qnLlZc9dZIRLJ82DfZ/qcoNL7Cc0+bIC8qTH3xU7rKa q8vKFw6tWsJN9HvSkmJ0VqiznLiyT84JIbBlrv3nx9HciveBwbsnHec2zyi8 t2GKr+CHb2fsD8b5T7voflEe0UsB/QjwSwN/H8gjtt8m7LdFNpzep6gvPIhZ o6m4y5zzmGD9+1Gwm7AwYcNynzlBwuMW48kqbcXcrl/vR3eOKOUsXlps0eos EX6fizFtGF0ijJ4+LVtG44JQhm8b7I/E+UO4Py2R6PWeSPSXnCV+C84Q/2LI I/avIvQpgHxpLmMT5Ss3C1Xpa9r8uL2c/xlDs2GV2Zx5ztOFQ+++FKaYjymv /PlGMMvqNX3Wpy/c1Ez3CevNOvBtbXO9x9p15JXwrYH9iyvpvDzun44ieqEZ RP8H+MlBXh/II46/w7B/K+xXjfsrllYsMFbbKJiZOLe6bnolZI7q1unLMDk+ XmZm2GdLRX6kUvvut/eq8vpz3rdd72HIT5Wp/nvn3jJ+Or47YX81zq/D/Reg F7Ca6O/MJH4zYd8fkEecHy6Il6HwxwzoWwd6Fu1L3ddp9+I3LB64fFjkJMnQ rRPzzu1S4/OGKgQqbvfjqyIX1EcpnuKn3YpTUFhxln+I7xLsL/Km85q4Hwt6 30B/E/g5gv8PyCPO34+Ibx/Ez8ts8o8l9JcH/QnPBunv7riUdwtb+6KbzVk+ r+szndg7JbxdR3v9tKwqPuzojFeqMx7x9vhm+1tx/lct3Z8Gerag3wXxEAH+ nyGPGF/2WFE+FiLeVyL+LsNfjrCfE/idN/o8c+S3Cp6zWCXfr+I179+z8ILF uHq+2KmTjsanet4P32z/Is5vx/0BsG8Y6L9E/DqBfw3wQYx/XDPhx7Aays9P mRT/zxFfRfBfPuwzA/y7t//0d8Tuer5owMR864KX/PXVI193VnnKl+D7H+wz eXNw/zLoNSkS/eeXiV+/F8S/+RvJI8bngheEd9xZwhPlDMpXL+RDOeLNBv7c CXsxeUx/HWq/RLWI3yszbptBznl+Ob6Lse+L8xtwn8XzKtBvBL+oOOK/4C3J I64fyxYQPtuNJvz7/ovwxQr5q438CEH8FcG/N2E/f8gXcMv8idskXQmT9xb2 r+I8i9/JoDcJ9A8AzxZoEv8Zs0gecX0LgD0jYc+BIns+EtlzB+zD/G0C+wX+ D3vuxnmWbxWgpwv6xeDnBntavpG2J/N/OeLTtZbiwwHx4ieKTxZfLN4UEH+F kOeaKD67ieKT5b8E9HRA/wf4lT8n/rmi+GT5NA75fgz5thj5fh35aIR834x8 jRflO4u/EvjXR5TvF3DeFfcngN5B0H+OfDcAf3tRvjN8agVenQR+qQDPvIFv DO8GAj8ZP2ZfFg/BiD9bfLN9d5xXwn0N0NsJ+gPB7xz4t/OTxk+G91NzCP+L 0G/0Rn0oQb3wQf3QBf3nsAerNyzeJiE/GD5kYX8P8FIL9x1BLxn0M9A/BIH/ rWzpesTqZ4cpVE/1UV8VUW/frqL6exj0XKD/fvjrCfBvPPJBHfm7Et+9EX/z cd4P91NBb9Vyoj8H/PqC/w1RfWf9SB76EzP0K103U/9yA/3IQ+jbA/6RIJ4S 0Q8tQ39UD3xpQP72xn4Yzsvh/kfQewv6s8BvFvgnifol1t9Vot+zQP9ngvP9 od9O+CME8fPnJ8X7H/SX6ucJTzZMI/yTAF8mo77U4nwk7heCHrOfF/gt/B/9 J+uXD6N/voH9i9AnF/bfi3hh/YECy0f06z7o36s5wudxqCcy2P9iQedZv2OI fLgL+k/ArxT8A0X9/P+V99FU9z9bc5zWT9Hoec16wquWAn2s7HdJiNLk3MW9 uIOSGyoR8/twYT/S3xbNjp+qGHd0o2WXiUKeyu1xNTaawhXDy72WOxZP69Gv r+/14nlcyMnMaL2zS7myN+UD5F9c1pL9fTM7U7AWrq0YVLc8vze3+0h9cvON 3dMtVkz+uHmpi6Cx68rlN7JHhU4ujspNZ9S1W4ZN4Ta4n+VOcA9T1nzzF8Yq 6Vr7c+naS626zLbdsUWIHjG5WksnhDu7f2fSpCRlnUf6wmm/+1GCyX37jr/W 7eHmZTyaeKVquc76D/5DZwx0EwpndjPMaq/KlVhPOeyk46kTUk+/z8Z59vsu 0PECfUYnz5r4tswgeRjfcsj5xZfkZ3KONyO9LDxJX6bXPNihEfZhdnCA3dpg T2a3ZbDzZ9if2bnLUfJLMvzF/BIj8h9b2T7zYw78+mq6PCdvN0l4jHVaO/k1 reMWcs7d7V+ctl3A1WVGrh/sayO8XTdranD1eqHH715e1iNcOaXdfsduHHQV XI7b/xPreYLzlFX+vq01hVvdPl3llHupMGzygkCh+RJ3Z+y9G9t27xAGWB6f ZVKVKGR9152dVlbKZc9pcY35GCss13vYKejOIUHJuseZmmMHuGyevhOwvwnn u+J+hSrRW69J9FXBTxf814SSPPF7SL5jkNfJhuQ3uEz6VEC/FOg7SJv0H4u1 O+z7XRT3zP4x8JMy/LMK9HjQm2tiMc7W0EYwwRrtI1siu8CbWx1U9Mly8lbu R8KR359Gugt2p5tK9+jEcq3653/2yi0Wen42mjMrsUKYLLP3l2/HT1xF5GOv LL0Hwu6u65tkr7/htl7uV21vUcZd21yTOdw5i1Pqt71Jxu4Fdz+svU1Xh9/c YNuzS+a9quHq8f21L+3b4fxJ3FcCPXfQlwW/8k/E320WyaMVSfItSyR51YNJ /i/QJwX6eWM9C/3Pwx6msE+DCCdYfJcjD9oj/hfBT/WIO3nwKwG/az6Xh999 6SvE7qC15/2IRQvz0gXv8uicOuc7wtCuwcNDw5u5dv24hW81PnL7u1jpf/qg IPGfV7b8iuE37lRq/KyegXL86ms/7F+dvi081sq4njdcn5+n6bVhbk8ZftSN lsh/3i3hmwXjmyMT+/BD8L0J+5U474T790CvH+hbgN/evsR/A+SxqSD5xkNe V+jB76R14E7SbyP0HYg4PQZ7WMA+3U9J4yrDj3fuhDOjgC9BiP+tiH95+PFI EvlRFfKshTwWxzP0tLSbOVmsDSsuv6htGioJiNtgsTexr2TBdW1rpxItflj9 p/URk5Ql7cP3hg9x28Kf7mfg2Wnzcr6msdLD4Hwwv2paRDfjtC3889Ix4+52 ieZ7f/todt7fm3+J7zXYf4nzabjfCfT8PxB9M/DTAv8uZiSPO+TzxjoB8ptD n+SLpN8y6BsP/T/DHjawj4K3dB1i+PwZON4d+D0NuCIHXMlFfoxHfqyAnw3h 5xGQ9wHsl9+uusT9rg7Pt6f1c0N0l7ehgby7jMKIJZ7+/J6In7e612byA5L9 j0/YHc//tVq3uNWknO+jZ9QUIlvAx68xOxKh/ZBXeB8/Zvn3ov++VbDf3prO 98X9ANBj9H+CXyvk+ItVAfacBXmdIP8O6OMK/V5C3/XQ3xD2mAT7tPpK121W /+bwVCfTUB/3ox50AV6/Au7c6ki4E4X86Yj8+Yg4GIA4cIQ+jdCnk3zRnkal Al4Oa01al0vfxtbwpublWrtkHvJ7bix92Typjt/YXubx+n6v+eePNMd4/L93 XWXY0fi6u2/5F/h2xj47z+4/Az0F0JfH2u4j8XeDPBsg3y0Wt5BfD/qMBq5e gL5a0H8I7FEB+xwS9Tmsv+BUqQ/ZvZr6jzGrqA6GTqc6yKURnj8GnttlEi4Z A5cikF9dkF+KiJP9iBMT6Mvsl/LxeNe63vX/rS0fVzVvuvOOX3D6TYvevg/8 7NTfVr5atbyO/oSKzKJ3/32z/W84nyyi8wL0l4Ef48/iti2M5IuDvMsh/4er pM8qVq8ySd9f40j/aRZkD0dLss/H4dJ9IevfbpRRn/dIj/q7Oj3qL/y+UX/h oUJ1cqg/1cnOUwjvk4D3DLeeAbd6IP9kkH8sjvwRR4tgj2bYI6SDRvjLpnt8 MNawxGVL+L0p/Nqr6k9siq/y4fhm545ibcL9haDnL4prlv8MLxgOr4a89yC/ L+pXrAfpF4a+YAz6q56zyR7q6H//uSfdR7P+eNTOLv/20S611D9Xe1HfdnI1 9W2v1lL/URVO/UeFhOqoEuqoKupBLeqBjAjX7iI/a5Gf2oizWYizdbDXcdjr dNaUm9kGe/lIrLFYj2KfnWf3dUFPjAfnwV8e8rD61RfyqkH+dtBnBvT7bkP6 Bswn/R/akz1M35B9VI50lXp3sDUF8Xj+CZ2TnUn2D7dB/4t4/AQ+ryeT/3pD DmtRnVWC/y9ADxaPNdCT5ac+7MDijNmRrWdhP/YtjksDUb4zO24CP+bHfiwe IR/rC/pA/kOIx8XQzwfxONWI9HcyIHvowI4bK6XfaSwurwIfTWdS3OqtJjyQ b6G4PpxOeKG+neJeoYDwpBB5EQ+8qUXe9AIedUReMbxiecdwrRF5yfIzCPZh eGiNuGPfLO+/ie4xeqz+LAc/ltesL2DyRULeCsj/oIT0OeFO+vkBHxuh/7M1 ZI+OyOsrw6XftQwnr6H+1K0hHNVHfZqoSTh7G/UrFTicjPq2GjjN6rUs6owD 6uMB4Hxn1E9WV1m9Yfrvhv4srp4hrnRE+bpAhIOsvtSI6HYBP9ZfeUMeOcj3 HfKegPy60CcY+sVA38V4v9bgvZmO+UMXTnoOwOp2Z8wxclHXF6FfGsX6HvRT Teh7rqDfWoq+wQz92Bz0FcroG1vQ93zBqiDSz1QUNyz/Ga4xnDsnwod2OM/6 AOYv1ld9Az/Wt9ajf5wK+ZZDXkvIfx76KKPvqYe+GtB/JexRCvvI7ZKem7A+ 0m8d9edbMR+qxLyhAPOGB3g366NPHYH+3wh97Dq8D36hD2frINiTvWdYH9cZ cdEP+fYQ+cbq6mPgmBzqw1N8K2P/Cc6r4P5P9DMuoG8NforMn5DnK9b5kHcO 5H+C9+wI6FcIfY9B/wjYwwH2MbaQnjOxd00PvBcP4t0Tg/dkE95FgXhvKuLd tBLv0dYqele9wMpBvhmQbyH8Pgt+T0U+XUY+ZQOn3gCnrID/A4D/rK72w7cZ 9m/i/Bnc/w16C0HfFPyMwX8u5DGAfKPxHtTBOgj6hEA/TeibCf29YA/2Lvwh msuxd7ZCX5pfBOEd/hnzjeV4p1/G/GMS3vHDsT7FO98b7+5K+LUP/HoC+dIC PJgOHLICDnUrI3xPdiZ8r9OgulmH+c4PzCkmoI7eQV29sJXO3yml+w1diF5X 0P8FfuHg3wPyvIZ8U2AvJr89m09gjYO+M6H/fdjDE/bp3Fd6jsnmPh0KaZ5m ibnQdMzbijA3uo01FvSXgP4I+O06/JaIfNiGfHgMnBkNnLEGfvuMJPw2y6K6 2K2V6uJkzM16c9RvSNZTHxc+m75Zf3wPdTQSdTV6EN5doK8Ofs/APwfyXIV8 dyCvLuS3hD43oF8G9E3EqgZ7sLnZF9Hcl80hL2LOq4Q5pSJWDdy3wv2n8MsO +GUz4t0O8b4DOLIaOMLe9xnA502oe6GYfydjDvsY/YTmXOrTNDBPt19L/e/M 9/T9DX1cPfqztXivla4lesagz+ol478b8tyGfO6Qdx/kD4U+7f8h/VZD39HQ n9mlJ9YY0ZxcPB8/JdpvFdm9kyieP4twImiVNP5+Ev0fECr63yBF9P+Creh/ iEIV6f8rdEXvsfai/z+OzpCeH3wTzWX010vPu1pE/88o9pWezzaI5t6x/+N/ BeUlU1SdSzIyplqcChu9vuvltrI+t1Lfamflly+Oy1+jn51k83rm2lfDckIq Bw5emVmbc0RtbKhTkVuuzIma1KBD73PTVzoXHzmtnbc7IdlopJdj3mm5Owdu Xdz23zfbZ+fZfUaP0Wf8GH8mj1i+P6OPqF492VcIOzd0hXqKPrf4u0Ot4307 4bnG6DGfAwO4QPfTmW3Do4QBbcK26JLjwowwR8Nlva9whmfHbzril8Bdymoz GKIWLvSa5njq76MUbk02feecoX07nG/5Rfc3g54t6G8Bv+3gP2AMySO231ns Hzk0OuKFiZ2wsd2GuF8ZgVxck6uqtfoFwSStKv1lsYSrbXBtiLJOFLo9+6F9 Lr5JcAn1qtX581zIPCf7z/XfX7lRHp18g4O+cy3n6XvXMdrvh/P7cN8e9GaC fhL4bQP/fMgj9q8b9NmL88dfPdcuKEoUcrKjug1LvcZxKi8S62WeCQGOVg3v 0lqFazfLV+r2VeC9lm5Y1mOFIq/hohb+o+Wx8N6t646UFx0knzbQd+IS2p9/ i84H4f7zPkRvEejfBz9P8A+EPOL4uwP7n4B+4bjf6JN1OuN7rdBz9Ez7LjOe cbL8W+FcQEfewuxz9JFnDcLxedcyHqfP5YP1frx+7GzDp0962HWajRNfgO9o 7L82pvNNHN0fPobohYH+2BziJ4B/F02SR5wfVogXWfgjCvqOGEn0vBs3O/56 JiepGisM7Ss3mK9aNdH6XaAn793j5+wz6WG874VORyUa5/l3vf0Ufs9L4l3x vRT7iqvp/PzRdF//M9HzHUL0h4Df5xTi3+pG8ojzdzHy4/ZHip8j8M8w2C9E nej3uvF2X2WnvfyaLj+W2cVd5Mcvv9LzqFsu3/Zi5qeltun8sw8GSTeOnuc/ 4fuTKe1b4HwH3A+aRPRezyD6f+2JX8A34q/2neQR48vGcMrHY4j3l4in0Y7k r46whw74xYTHnd7sm8VvWLnUftXpAkn83/ESvU53Jd922oeuO3lXcgrfMdiP wvkluH8D/ji8lugrId47g39GKMkjxj+zaMKPzshfP8R/MOLLFv7rDvtZg/+H sQ/iLW6WSeZEdvqrKjnDFw1XvrPNX8IPPE3fSuNon8nbCfcdQO8v6Pc0Jn6H jhP/8jiSR4zPR+8R3slfIDzRCqV8fYh8WIl4K4U/j8Nea06RPKfkekf/mV/C rxrJX/7VOZtPwLcM5M3H+Re4vwf0skD/gxXx+wZ8+5ZE8ojrh4E64fPzrYR/ 5V6ELws1KH8fIz+qEX8v4N9E2G8d5Ct++siuatFRfi6+rbH/EefDcb8Q9O4A H+rAT+JJ/MsmkDzi+qb+muR/CnteTyL9XkHfVdD/HuwhgX02nyB7RcJ+GyAf +1aFvdn5d7hvDXoHQV/hEPE7g/pQel3ansz/045RPDQFUXzEGVG8NM+n+DFE PA1EfB1GvE1C/CWfJHnsYT9tyNeM+F2H8z+R/9tB7x3i0wPx2YT4vJwgHZ8s n/yQXzW1lG9Pb1D+ha6mfMxAfuohX+ORv6XgnwN79fcl/8bhm+lTiPNGuP8R 9PqvJ/pByHdz5PvEMOl8Z/gU8JPwqtcnwq8SB8KzB6gftzQI7xj+GYNfL9hX 8SX5c0g9xd8QfP+DfR7n/8H9I+OI3js9on8VeB3/lvjf+y2NnwzvV3kQ/ten Uz0Y24/qw2x1qhftWqh+xGgS/Qewhzv8txbxVo/8MMP3Ouyz892m0f3KJqL3 EfWzQ1/i1xn8S92l6xGrn2dR31ehvrL+Yy7qrzLojYL+7nbkr1uI3/fIhwPA h1p8H8V+0XY6bwv/qKoRvUGgvw/8loL/fg3p+s76EQn6k3foV4xfU/8ig/6g HPpeRzzsQjyFoB5ExVO+6noQvuwG/sZifwXq223UR030X+ch3y30S/HgHyzq l1h/twr93ir0fxdx3hn6KcIf5+spfjQR7+4hlJ+hwDMXb8K/zvg+epT2T+H8 j+90fyz6nQ2gvx78TMDfSdR/sn75Mfr5ROxfhT6VsL884rc3+nEV5GPFCcKP rfWEd5GoF8NQ34adov2fON+7he5vQvxFgf4C8AsE/zejpfv5/yvvI40bfoWa zuszLU8drV0T3E6wxcp+D5luMUjxnjqXNuSn1qyySVzeq9/Oi+bEX5781Kdl rLyJMED2V820leZCYdmUdyWOxVlPqr/edentyS2Z7bslpHIHF7FtYsqBF5ez dR5LRs7bfFxo/KrpZbnguMDJbzN1vLk7Z9CDwTv1485x85euD9u91kuIas6q iY5Sz80rO9J79uNYoXf+vVTf/XlcsGz9lEYuPffDsp6FXQvvCMdkap0HfIvi Ntfway4mKeeZX3tXfjKiiDuXrbLO/GSOYMGp+sy6vzxvwz5tuRDlCu605cRc L8ccYWaZ64hGHc+8CfjdNYfOs999bhAd5Q5En9EZYkJ850EexjcOcs6D/EzO 5mrSqw76Mr06wg5/DMg+zA4yD8hui2FPZjdT2Dke9md2/gm/SOAv5hex/9jK 9tNBJwD3beeM+TG8zURYhlU12l/u8H1PzrLbtIX3q704ZXunxoHGEUKSi2Z0 a/dwYUunRs1dOZnc47SlWS/eXOQ6/13epHO8QtjxMMfrqloqt/6gbHR69D2h zelMqOR5lbBxoYxib4s67tvFc/bjO14TwusHjQrRyRXWWVlWx1Td5IY0XlIf Mc6bU51/+2+nq1c5vczkf78XWNP+riY6X5NI93stInoKzkTfDfx8wf/DH5Ln HuRbA3m9If9q6HMO+i2Fvk7Q/zjWb7DPdVHcM/urw0/T4J9toMfslytX+NTK MUK4gFV9b/6cc23Z3Ncn5sf9x17m3hpt/rXiXpUgzHZwUHt8XSiZdqqr1oYE Lq7/6le/44qFtA635snqZwqdnX44xaxsx0d1m9Pxz87uErc9O5q/NrZyPvbb U//xkuODb/eujAmpFzp0meWSE9ybX9can+SwuFEYhe/actrPdqLzT/3pfjXo KYG+TNvNf/nlgn/8FJInFvKlQt5yyL8B+sjIk37V0JOH/mdgDxfYZ44IJ1h8 88CJF8CNVPhpFPz0BfyY/WwVt1lV1lUKTlgH3CgqN3/8nPvjkeI9w/I1ZyCc DSs7/0tI0d0nvAvuyAff33fzfmkb9zCdf7P5VB9J9syM+1v2LeAdZCu7zh/z RAidtfvU1+3m/Nu1k23/GvF83KZJOeWhNrzVkENnXDca8pfx/Qb7s3Cea7r7 7/100BuQQfQfVhO/K+DfWkDy3IV84yGvPuQvxboX+uk9JX056N8Ke/QFPviI cJXhRylwZiDwxRPxz/LVBn68CT+6Qx5ZyHMg7/uDWx6fhEcFtMZOcqjz6K/E 71ePM5zYdYjkW8WN0gv56/hVoQuCA+2M+COVM7xk9+7jP0r8FTrru/MLPZ2P LbGN5hW6hyj+MyOAP1h1KCL5TCKvXqC04o7TEd4P34rYn4nz7Qvp/mbQ2wL6 o+8SPz/wj5xI8gRAvgdZtFZfJ/mHQZ9JS0i/OAPS9xj0f5RK9lgJ+ywT1SGG z0OA41eB33uBK++BKyuRH3KalB8F8HMk/LwQ8t6F/ebN6Gq2tcGOX4O1RO6f meM/nOQ/jF82q3BTKH/y8NTar3sv8zf6Gl/hn6bwH60aT0VNyeGTdT/KGnfN 4SvbJb/tXJ3IF+3STVoUkMv/wvc57Nfg/E3cDwa9J6DP+HmA/wys8bBnw3iS d3I+yZ+uQ/psnUT6GamQvhegf1w12SMU9lljKF23Wf3rX0B18hjqYynw2h54 vRq4M6Qj4Vww8icN+VqHOPiKuKuEPsXQx8yzW1bls2x+GdbKQ/FnvTrv5yXv hLuy7gn/z64e+xvb3ZYMOf0s1c87R3I7sNshy/y7kt3NPTsr7i2RVOK7K/YT cf4v7m85SPRWgb4F1hvg/w7yPIN8wZD3IPL/CPDmZy/Sr8WR9C06QPrHoz6G V5B9LuRJ9zmsvzBDn2NiSv3HpiSqg5dQBz12E54b/EN47ttAuFQNXOqI/FqH /LqNOIlEnNRB3+fQd+me7+6+5yoks7CmyJj/un08V2JgeEjBaegNyeeiVaab Hubywcox89PrciXf8c1j/yDOz8P9hVgzQL8J/A6DP5PHG/I1A09yIb9ML8Lp w11Jv2ro2w19heUlssdPY7JPkagvZP2bfj71eY3Xqb97Y0v9xcLf1F+4V1Gd /OlIdbJ+HeH9X33C+w7ALT3g1mnk3xPkH4uzc4ijZbCHMezxZcaQ7XWWV/kW rKaDAneVv8nnbyrYBAw5cZU3wPcP7L/E6on7S0CvBPT/Ab+74J8IeeZAPjnI +wz1KhP1K9GB9NO8Q/p615L+oyzJHs2lZJ/yLOk+mvXH49ZTH10UQP2zhTH1 bVFTqY8r/E39x/2u1H+8RB0NRB1VRj3YiXqQDFwb155w7RLysxT5GYc461BM cVYAe82GvZ4Nkx+i9CWKr8Jag9UY+0U4r4z7R0DvsQgPngNX8yAPq1eDIW8q 5I+APi7or979JH2HyFHfmm1E9vDB++LmWul3B1tXCGTfWtjxtz3Zv13zxX/p NFSTf6pgRwcb8p8n5GjtRv4NgJzx8P9b6DEB8XELeq5B/HxDvt5HfM2HnWZi rYf9tPBthPUpzr/AfTPQuw765uDH6hWTh/mZxaMN5LdHfpXDjj0qSN+oQNJf 0YbssRn2cc2VfqexuJRtq/k33zvdorhVOU940Fl28L9xPWsX4YXgTHH/vorw 8TPyugR4Mx95cwt4VI68qgdeFSPvjIFnMcjLZKw1sM8P2KcQccfitgn7fjh/ COtc0IsG/Qbwewf+RZBHH/I1QV4X5PVXRcJHVeR1D7wPRr2nvE5OJnvMwft4 dmfpdy3DST/Un9fAUQ/Up4cLCGdrUL+WAIcXo75tB04nof5tBY6/R308Cpxf ifo5EXW6RVRvzkD/PYira4irL8jXu/j2wv5RnJ+D+1mgewV0LcHvBPhXQR4/ yFcIeeX0Sf730Cce76Kp6E98UGd7o38ZgzmArmgOwOq2uhH1Q2dQ1+8+oH7J B3V/Xz/qp06pUF8wDv1jwkPqG5rQjyWhrxiBfu0m+o4XWBdAvwPQ7yvihtUD A+SjBPl4CjjXiO8Z2H+M83dxn/nLBPTvgV85VmfI0w39+W/0u1PvkfyvoM+H v/SelAwkfaccIv0XPyJ7vLtD9hm0XHpuwvrI0ibqzwc9pD7TMIP6d1fMGzrP pf5+0ELqUzd6Uf9/TkJ9rNcVeh8kT6Y+9znWkZD/Aez7HHHB3jOVyLclyLds 4NgJ4Fgh6sNxfKdin50vw/1NoPeS9a3g1xP8/2iSPCZYMyQkL4f36zlP0meE Pum3ZA7p2xf6b0kne+zG/GxGk/Scib1rhuK9OBvvnli8J3fhXVSH93V/vJsC 8R7thXdhPd5X9wWSbx/kWw6/b3hAfm9APj0DHlQBp6YBpxpRrxKB/1/zqa7m 4Jvtq+F8Me43gp5WGNEPAb9W5MlFvFvs80m+RMh7F+sy6FOPd+9L6MvexUGw x2jYp+ts6bkce2f7Y34xEe/wl5hvuOKdPgJzkCt4x1divQj+82BfZcSp3Tzy K498Odyd8OAtcEgLODSunurVeNSvfugDDnejuhmFfmQcvr+irhrjvPknut+u O9HbiXeWWn/iF4P33ildkqc94u4r7LUD8ttDn41Y32Hes4jNB2GPbrDPKtEc k819HDFPm4650CLM2yZgbjQGa3vY0wr0W+A3f/jNHvkwE/mwFu/yTnhfjgZ+ P8Y7IcyP6mJMR+oLzt6nfqOwmPqNZ+hbrQqoj9XGeyDmL9XREZibDUI9sAf9 /sB1oQ/xb8I7ORnzFhfIy+Z+06BPFew3TaS3KezB5usbRXNfNofUxJz3FOaU V7Fux30r3H8Av+jCLxLEuwXiPRc4ch840hPzjtXlhM+KqHvRmLsLF6ifmHaT +okEB+rT5uynPm043gMR6Nve4p3Vhrm6WwLdV0MdTQd9v7vETx/zhU6Qpwxz rHGQ9wLk/4h54WHoZwx93aB/MexRilVRNCcXz8f9TkrvbxbZfYUonoeLcGKl CH+rlkjXtc6ifuH+nxqpPixAkO5vw9dLvxuM86XfY1vbSb9zq0X/k/jNlp7L PBbNuyaI5oiDRfPZJNHc2+l//K+gmFqbcUlIm+z1omcHvWj5qXJDvjrIGmpN G5U6/Pnjo3paJ7OHh2zvOnT69O1b6oqznkyXOPfr9Tx/i7bR9J0fXEa/1X6m tChOprOWjq1tQYDxrQ06PYP6byn45fXfN9tn59l9Ro/RZ/wYfyaPWD4ny+WO qms6CV4fJdZvuo7iDl26E26yaq7QTvLwYLdTtpyS5p+46xfXCtFdnf1Ct8UI d6/ovwjL2yUM+BaUeK1fLGesfuNryMsDXOzeDJfmXruE5DH0HddM+6qFdN4A 999NJHrGoC8Bv6fgX8bkEdkvCPsOFtFOeq2Gwoe4hpDGXFtujVtWxbVsf2Hp rtrA2zqWwtWh0cO6Fxdx5vp3/JfIXuS2GT3Kujv8qnDe59j9s0ujhNnqi972 npDPJW2n7zeLaV9nJp2fj/ujg4hePuiPP0f8qsD/F+QR+9cf+jyAfM5GUz9u P+EvbPO0C7GLPc2VNhb4Xtpynqv6bZpTf+uNsOThsJFTf1cJT6+ZNF9s+M4V vMjT89zXgXfQHKB8srIDfwjfpdgvrqbz9ri/tZnolYF+CPh1g7ylkEccf1Nh /1Do9xH32w/WTNRSTRRyPS7+s+7Mc+FK6coLl8vk+MCBwW77jvXigz/7mru0 n8A/+Ba+8nz4Et43Qd+hvoM5/wjf+7FvgvMzcV/Pk+i9BP3NXsTvPvjvhTzi /HCcRPHy/hD5Y2wT6cuB3hGnMsUZP/7hL7vptnviOkHSrf3LmelTFvIRtfXn rsTt45VPH3x+0z2K7zfv2vmJ+uf4PviOwn4Qzhvgvo0z0dsF+nqw79ow4n8K 8SvO33mIbyPEDwf/LIP+Na5En8s54/9P5Vq+T1zeiotbzvG/7pXyI5VK+Q33 usw6Nvo+v1Rj8UeznY/++/6O/f44r4L7AyCvDuhrg98C8B8KecT4Ul1M+TjE gOJd+xHFkwT+mgZ7/AN+zxxds8b63uWnFLToxru85q9t+fZG2fwDLxM5/oG5 Uj1/Fd9Tsf8K54fhviPoHQD9qgfEzwr5ZgY8EePf66+EH5YLKT+PlFL8+3yh +IqG/1phHybfpv3yC16XfOBvDOSNdSpe8hr90qc3lj/lb+Kb7U/GeWbfUNBL QPzeRL6tAz40As/E+Jw+iPDupQPhyeHnlK9tyAdFxNs6+LMY9mLypO468dh+ fAk/QePcefnyJD4d37ewX4LzdrivBHqvQH8K8OGCF/F3G0nyiOvHnXDC563T CP9kNAhfMpC/A5AfCxF/zL+asN8kyOeo/alHhbEFr4lvZl9ZnGfxqwR6+0H/ NPi91SD+QhDJI65v7kNI/lvOpM8W2LMF+vaG/uthjyuwD/N3Muw3GfKliezJ 4tcW93uCXjXoa8KeQR7EX2GUtD2Z/4sQn30WUXxEIz7NEJ9nEU8/RfFpj/i7 BnkmwH5MPmfss3xi8c3wqhrxuR3xeRzxuVQUnyyfgotQf2dRvqWi3qQhH3sg PxX/R74Xi/K9CN9s/wXOMzwbC3qhjD74RaEe7xLlO8MnPeCVKfBrJfDMGPgm A7xTA/6pgF8L7MPiYQHij/n3G/bZ+RG4Pxr0rEDfA/y2gP8aEX4yvK9GPXI+ SPVgEeqRDurFc9SjGaBvAHvEw3+9EG/KyA/2fRL7Zjj/BfXiCuj9RT3W/Ur8 vPcQfxsN6XrE6uc21NMK1NdJqLcpqL/vQG8N9N8FfxkjvipE9f05vtOwPxTn 5+D+UOh/EPRngV82+K8W1XfWj6ShP1FCv3IQ/cs19CMC9N0P/2ijfsy9TvFf j3zVQb/khe/nyI/ROK+J+wrwVw/Ilw5+I8C/XNQvsf6uAv3eTfR/I3E+Efrl 7SZ/2CF+YvUo3tWWUH6+3El48hH95zNv+m6P/lQO57Vwf8wBopcF+hPALwv8 K0T9J+uXo9A/P8I+6/9mwv7rEC92iO8gCeWjN/p55wmEd5aBhM/lo+n7C/Cl HOf74/4X5IM56N8Cv9vgnyjq5/+vvI9G+tmc7rRi3ZSVKUcCNk5pLtiElf3u 5rSp0+EkJU43d2zU5Ii+XOzIZMNBdXFTdZOHtZwNmCI0TA6r6zNIR/hhdkw2 bN+VaZ9VDcLU7plwx7u5W09RXs3p3ckp7Hc+Q2vr4aoMmUYXoauhvVnjXGth Q4SPT58Sv+lfLgSejL2wgqtQ+j2hZVKIINdu8KCecWO1A1XNK4/mRHHN+/hR 8w4s435MvPpuiGWq9vaQHlMmxEYIvRU83DYHHONKLiyWLAlS1Lnsk/N9L39U eP3gh9GJ6Pmc+50bV2ROmehkVd2OnjI0mPvzVfZkyF8/Ye3ANUFprW46x/H7 81I6z34/u4Po+MkTfUbHF3y/HCR5GN95kHMT5GdyNseRXr/nkL5Mr1DYQaE7 2YfZYehwstuEKWRPZrejsLMA+zM7V8MvzfAX88tzkf/Yyvb1QMcJ922yJmW1 /ZwqLMe6J8To4KDfptz4rrpzr2kt53yO/jgrqXIVOmlPHV4m7yb8TtuR2nv/ Aa4paPb95WqruaqK1W+e+M3jEsof9TYen8qFej+xlTt1Teii17Z/6ItQbtzp 0MP3Z6ZzZwsyq/RiUwWLccsG9Est4Yq2mM7t4HNI8I37sn/ptr3CT58n7mYh MdziC/Rtu5H2b4+l82tw/x7o2XBEXwf8VoJ/+EeSp30gybcineRdDvkF6GML /V5B3wzofxvrQ9inTBT3zP7XEfc8/DMC9A6A3hTP4z3vXHEV9LBuTZPoPIkK 4mKGJeZGnD7M6TjY3Op17KzQo0VjfNCsIE53ouE9w40SoS3w7c7wXxXCMd0B SlEWDdzYg7ql36yKhVHf3y5KcK3knsw5E3pw40PO0lRXMupHLWe4LLZMVqmG W7zKY7TpPBl++d0zvo8GP+Cs8f3KmPb55XQ+Evc/tBA9rwNE3xL8ToK/+ySS 5/l3km8i5B2hSvIfhT47od86rNXQfw3scRr2YXHN7Mfi+xZw4jVwQxt+8oaf PsNeu8AvYfPkrOhNsYIV1oKUbwl/zLYLlll+TwesKBaW+p7MvBXzhcs1/TaJ M2/kPn2x7bvyvqykfomFzSStd1xr696SMeOH8atTyq9abE/gxkVnRK9uncuv +yR7f+0hFX6lRv3nVf6m/IzM+UW/zqjxy/C9FfuqOH8pie6r/CB6lUZEPwj8 NoD/Gcjjlk3yqSWTvFGQ/zPW89DPHPaNh/5bYY9RwIdJ3aVxleFH37mEM7uA L2MPUPyrIf6Xwo828KMc5Bl9meTRce31paVfI/dyC60n0ipHfL0/WDImzdzX 0au/JMEtdNUE+9m8nZLFCuGTLC87MF1HPsmTH+ok82JZNyt+a7OjobDmON90 NPiXpZwXX+jcrev1hrN8ymOJQUaqL1+M71/Y98b58bjfDfQqlYn+FfDLSSX+ PyGPDeT0xzoqleT3hT5J0M+llfRdC/2f7yN7pME+V+ZI1yGGz97A8WHnCb+X A1diXxGuhCA/DiBfTeFnL/j5AuTdDHnPbT6Vv2rqPP4t1p4R5j0OzQnifZ4s m/lrdgAfZzqg45Yh2bx2p2mmK5sT+fiFBa8CZlXwF3X/eTzIX8I/Na4d9jDg Ib/73rq/ZgYl/32zfXZ+Ku7Hgt5W0O8DfjfAvxTrD8iXCXlzIf8c6GOB/D8N fVN+kv4LYI8e58g+FqK6zepfzE6qk2qoj1UzCa9HAK8fAtc6AneEpZQ/U5E/ PoizUMSBB/Rh9kuTbT933gEJn4512iajxb2m1fDDdzzYr7XkIb9B5YJhst97 /mtQt12F117x4XPHy0b0qufvrOky4arRWz4M31+wb4/zqrg/HfSyQP8y1gHg vwPy5EG+YYhbL8ifALxZDP1eA2dnQH851Edmn0uB0n0O6y8iZakPuRJE/UdY HtXBspNUBy0MCM8n/iA8D/xBuPQIODcI+aWC/JqEODmPOGH2mgp9J9zzCxs2 9wOvjvXUJi8fLY93/MUFQW2r3tfxcvKPUk3v1/JRHn+epTi84+XxzfZP4vx4 3J+IldlzKPixuJ8OeRREePID8iddIH3UW0m/bqhffdEHmKEvKAom+/jIS/eF rH9LMaU+r8qb+rstK6i/yBpD/QVnRHXS35zqpPlnwvuOwPtm4JYncCsO+ZeA /GNxZIc4ugR7RMAeXRIt/Uzaqnh5rHPG5qxZH5jOjzTjZx6sv8bPxbcC9tnK 7MnorQd9xo/lfyLk8YB8rZB3PORPQP3yRx/QEX3BGNaP2ZE9/qD/3ZAg3Uez /tjrF/XRHo+of76xl/o2jwrq2+beof6jx2rqP+6jjs5EHb2MeiCgHmwDrtUA 124jP0ORnzGIs86IMzXYy4DZq6PjafuKQ7ws1l5Y9bHPzrM4jQW9MBEePAF/ P8gjEdWvpZDfEvrEoL+aUk76Dikk/Sf6kz2iqsk+/HfpdwdbTdaRfcMe0rkZ K8n+DmVEJwTxWA8+mxCPPOT4KaqzCfB/LfRg8cHsyPKzE+zA4pDZSQ8rs98s fLO4ZOdZ/ieDHsPVRvBj9SkF8jA7foW8syD/UcRjNvQ7vZT0fSuQ/qGIxwrY 8eFZ6Xcai8svwEejbRS3ocDH9cjrCuDj3JUU9xpfCE9YXg8R9S8awKMLyKth wCuWd+OAZ2HIS5bfsiL7iOOO2S9CdI/hLatXDI8Zf9YXMNxh+Mj60DkC6TMb eT0Z+NiKd9OHfLJHJvJ6vuhdy3CybDfVn0jgaBLqk8IpwlkP1Gtb4PA21Ou3 wOkG1Gsl4Lgb6uMF4Dyr11qoA6zeMHsy3ExEXLH8jBLlK9tn51mdYvWfrdng Fw3+/pCnN+Q7CnkbWZ1BvbaAfvOgbyD0nwh7PId92gVIzwFY3d6KfmgE6ro5 +qXhqPtx6Kf6oy9wQb/lir6hBP1YCPoKAf2aMvoORaysH4mBfqqiuGH5/xj5 yHCO4exn7J8Xxfk50GN9VW/w64W1APJEQ75KyLsL8m+EPibQLw/6zoL+nrAH m5scEc1NWB/phPdMUjz1mZcPUv/+pYb6UHW8Z+6iDx+I/n8P+tiFeB9cQp+b h/UJ5I+D/KwPV0RcsHxzQb4lAcfygWM7UR8K8M3qrjvOsz5cDvS2g34k+BWC fwTkOY11EOR1hPwZeM86Qr+LmBNsKCf9Xx4me7zF/KxkrvSc6b+5Et6LBXj3 bMR7cifeRcvw3gzBu+kT3qMzLuFdnURrP8i3DvLdgt/94XcL9L/t8B6eCJzS BU6xesXqKKuri/HdiH2GawPZuxD0dHoT/c3gdxn8/SCPOuQru0jy3sZ6n72v od9k6OsG/VfDHkmwj4xoLsfe2QMwvxiEdzibbyTjnb4B84+TeMeHYY0EfzPw L4Zfz8KvvsiXRciXNcChCZj31B4nfB9pQviujrq5DnVzHvqR3fg+i/1o1IOY BLrP6A0DfXnwWwD+WyDPR8h3CPIy+6VCn2ysrtA3C/o7wh7jYB9N0RyTzX2i ME/bgblQIuZtNzE3qsTqDPr5oN8BfrOF32KRDyZllA+ZwJklwBk3vLfs8E5w mkt18R363X2Ym1nEU7/xuoL6uN0Z9L0f/bEszrujrjqBnj7o9wS/A+Dv9Zjk +Qf4tAnyToT8TB82N6uAvjewnoc9fGCfI6K5L5tDpmLOm4g55SWs53B/F+5b wy9D4BcDxHsk4j0IODIOOMLweQHw2Q5z1ueYf8sJ1E947KR+orc79WnmmKcP 9qX+N+Q+fa9wov3hmM9vxnvNDvQCQF8e/GaCfwxw/zdwPxXyrhPNw1yh3x7o y+yXB3vkYz0rmpOL5+N+on2x3QeL4vlVN2mcuCnC372iujY5SLpfCFCQ7sOu P5Pub9uapN8NhXnS77HroneuzxHp+YGRaC5jM1d63tVBNEccK5rPHhfNvXP+ x/8KzssLOk0qSMuYP3zD0Kln5C+3DUz/qzJHK2tHgKvx/hC97AnjhzsN7TI0 R+VJ4+4jmU9yzi28um9t3pbc+mWe5y+OfJubO3Scd38ZrbxYk95JK29syLtu FZJX+MPrv2+2z86z+4weo8/4Mf5MHrF8Lmumeksu9edeOymsftrYV3g/55Ru teEyQTdu85KiFTs4O8exQzQPnhA+nHzpOLJdGscVH96guzaPEySlZj9fJQnx GSl+F41cuWylPsfH2xRyvg+T//2eU0r7o3E+/RTdVwY9DvRHg18S+NtAHrH9 YrF/TT6348Hl8wSDZemnHrv6cjk1fdqdGXBWMHRpzDTddoVrSwicFXLyijBg 6eP1hSHvhec1bg5TjE8L0x2NBfVhX7nZdx5XT/3ewik50XdFBO1XL6Hzfy7S fVPQqwX9PuB3WIH4xziSPGL/5kAfTZzf+XtE6bykOGHBkmfpbTXFnPaI1DMP 8p8KrXVh87rpPhIyXox1spjwndPLTFxic70dP3bcvHGfk7rzgVV/g+oS+vBz RtH3uMu0X/+Sznd/R/fDhxM9FdCfDn4TwD8W8ojjry2W7H8Q+o3G/b6FN45a H6gRXl8ZWZpQ0shp79i7Yd0KWUmQecEPw79twultPqpj1y/lF3naDinutYF3 W6LtG7llE78b3z+xH2NK51V86X7HIqKnCPpK4HcZ/PUQD+L8eIR48YE/LsJ+ iaDXdEsr7F74UMnb9333T7gyiU+6pMZZX9/Bm/h1v3hh3wn+hgs3sHh2PB/z 2ts/ozmJv4NvM+z/xXmXOro/GPScob8L7KsI/t0hjzh/e52m+J6J+Jnzhvxj s5P0jwJ9oz/Kx5XOBvLTbx0KWDLyEn92loKicmYWf61F8Nv65xLvvXDE4eqq KH4Xvj2wb4zz43A/4QPROwz7dn9J/AZfIv7RkEeMLwpFlI+liPfCZxRPJsvI X49gj6XgZ9KHP746MZ2fNrLIdeOefMmIypsWO06USWqyTTW2XCiXzMG3F/Zt cN4N9/+AXv/VRL8Z8XvNmPirlZI8YvzzyCH8MCyj/FybTfH/EvHlAP/FwD7d RxH/3tPt5NTa35YoHKjZ8+jmEb5zTpedDZty+LZD9F2lRfszcD4Y93eD3ojt RL9rLvFTeUD8L6WTPGJ89goh/LsLPLkznvL1KPKhGvF2GP78dpfs9c8RkqfY rCioMq6Y76Fxrn2Hszn8NXxfh/x9Yd/9uF8AeqqgXzyS+MU6EP94S5JHXD8C FQmfh90m/HtfSfjigvwNQ37cWEDxlwn/9oD9BkA+1QPxj/POhPNq+G7Kpv1I nP+F+/6gdwn0m8GPA/6aQR5xfWtVS/1X/nbAawd10k8H+hZBf6XvZI9BsM9k 2CsN9usJ+arw3YL977C/F+zJ8GA26CfDf+rgn/1F2p7M/0qFFA/Xh7v/Gx9T gd8KiJ+diKdkxNcb5Ics4rP7YZLnK+ynjnhQw74S4vMY7m8BvTuI/8uoB0E9 iL9+nnR8snyyQP2NQL4/Qb1ZuYLy8RzycwrydTry9wHkbYC9LsK/PWHvlZBP G+etcf8u6KktIvrPgC+WRsT/2BXpfGf4lIn+wBf4GQH8PA78TALeTQb+WYHf QdgnFv6cBfxUx3cg9nmcZ/c3AY+vgH5v1NPWJOD3KWn8ZHg/1J7wf8Emqgdr VKk+LCmkejEd9SMc9agA9tgK/91FvF1CftzE9wHsh+L8uHq6X3+T6N1EPfoF fnfAv9leuh6x+tmE+l6C+joN9bZWQvW3PernWR/SP38p+csS8TUd+eCM/O2G 7yzsJyyn865+dN8a8h1EfR8Ffnng/zZWur6zfiTFgPqTdcbUryS1Uf/iaET3 r0Pfex/JP59QP4agHryaQPk6GP3SDuCFSQ7tX0a8h6A+JoCeIuRrBb834H9l tnS/xPq7JVuo3zssR/0fO28D/ZTRH7gkUvxksPpqT/kZaU94YnKL8O8Svq9r 0X48zl9NpvuZ8G8q6BeB3y7wv+ki3X+yftnYkvpnl8207wd9Ws6S/bs4ULwo oJ9PKaF83I761mMk4W8Q+vn31YR/t9No3xZ4cgz9RSPiLw/+1QA/c9irn6V0 P/9/5X10zWtJxTbTdZlJcWuKdrUbwKVgZb+P+bh65/4JQwSVjhozmkaPEn53 tVW1ehd3OXuw/7KPT8YJe4aZnygbPUMIUPjSW2PvlayQkw+yqjMcuGlVA7UU ordw7VWNtDziMrJtnD/3/do7SOjx0aUpXP2YUKiiZR1R5JeTblMUU9wxhTOP 8Sy1fx/G5WxcNbU2ZmyuvmDnmlGYJLT4DJ/h9/ACd+t6+wmSNam5VUeWqlmt TxV+jH6y6IJylMBZn15XdFgxb9CCVZXf6gROte77lbF3YoSmyH79rU+Y5Lle cm+1DJBwz206R1n1cxNezT0QKPvdLW9jGv3+4AudZ7+rgc6S8USf0Zl3mPhm QR7Gd3ghyekSS/IzOQ9Arw7Ql+k1D3bYAvswO+jDbvlDyZ7MbsZDyM7hHcj+ zM694JdQ+Iv55ZTIf2xl+82go4P7Cw5a2an+VBPcsZpUDh+m1bCBk7t9crm5 mRNX6l4yaWfDUWG1esI4v/ZHhUEH1ioerc3kxhzYPl/ZL5nr0OnEols9bgpj Ol5cfVUjTbgzNjq677tczmHYnQR75bvCrjrH8Vd1H3BW07nw0K4xnG7rxvMv Z6QK2tPaq/gtusIl99/WNVf3PVf4zjlG8iRCqOpD3y0c7T+W2fTvebmZdH8p 6HmC/osJxG+fDPGfCHm+BpJ8EyGvK+S/BX0u3SL9SqAvd4j0n3GY1q6wj18H 6bhn9h+IuN+NPGgGvTmgtyG6ePzfK0eFrVhdIsNMUtMuc/YV4bNURmZynkcH BG7IuSd8ijc/1/FghTDr2eovj7Y+5cYnLvU51iWN+xA0XXmBdYvgu0JVZkWn n9xeZdOeT0tkJf22dbf5qfyB8+7rZqa3T4nnZDSy3si+FjJiBl02nD+U/5mv VjFn3HNB9Sx99+tM+19w3ngr3W9WJHqeoO8WTPyepxH/hbUkz0PIpw153SH/ EuizGfrtxJoC/fsgflSGkn02iXCCxXdv5IET4n8x/JQGPxmB3wbwS7DIHDNk dJWQinXMgRmvZ5z4wPUPnfTzzKt6LvWDZOjEBT0kCUKQRWbdF07+/DHNpfM6 8XsObMwpmSEvyTh7r2V42QL+k9fBPnaDhvBRenMti39b8PJKcV4SPX3eKls3 bVC8PV+44++1jt7z+EX41sf+fZzfhfv/xBI9nYNE//sF4re0gPjHM3mOk3yL IO9FyM9WK+jnAn1vQn832OMY7GMhwlWGH+rAGSPgy3bkpzzi/58L5Md18KMz 7KULeSq8Nb7HjZeXbMaqsD9Fc6D2CN5hiRBd3fyQW+e0Y7pzsB0/1HHA07Yb K/iKvcNnxvU4yO/4Mveu4/at/HyjZu7i2xg+5px/pFm/g7y37YlFhquT+Mnr wzKvDA3hd+D7Mvbn4bwX7n8APXXQPwB+ai7EXyeA5Pm1leQ7jnUs5PeAfVdB v/OIWxXofwd4sAr2ed0gXYcYPusCx28CvxuAK6OBK7qplB91yNe+8HMl/Oyx meRthLx+RRuDtvpv5L2wupW7mr/xi+QNf/We0ewQzivevBNxPTiT3/jk3LkV iSl8zwgzm7RDmbzrshmSNscs3vS953tTk1g+4uDAv9yibH4Wvu2w3xZO5x1x vyPozQP9beB3EPw9sK6AfCk7SF4byN+UR/rUIP9tM0nfIBnSP78T2SMe9rGO k67brP7NR520vEL1MW0o4fXViYTXD5YT7gSFEO6c2U/5MzuB8qfNgeLABnFg A302Q5+xRntNWyZm8aOwznS5ldIu3JLnR98wMJwcy79qzbjtF31DMuHg43dl D7MlDVtPLnxdXS5pzr3fenJ+seQRvvdivxDnp+G+9haiNxn0x2MNBn9nyLMW 8i1A3HKJJP9p4M176KdlRvrO1CD9NVTJHsOLyD5WftJ9DusvzEZRH3LzIPUf KZOoDnq/ozo4HPUguRfhuRJw6QRwbi/yq/M+yi8PxMmnGxQnRtB3qhPpG2nT v/ETVyZJwjp/950jG31yJW+OrP2S7nRNkjjrxOF2Fpl82V5JO2NJriQL3y+w H4nzqbgfizXTnuj3Bb+f4O8MeRQhnz3DE+BqtCfpk4V6ZQZ9d9ST/m5jyR4j gsg+89Sk+0LWv/1poD5vqiH1d8e0qL9If0j9yCpZqpN7UCebFQnvl8wkvI8E bvHAra3Ivybk3x7E0T3E0U/YYzXs0U7vzbGF7Yv5dzyte1b2fnrmfQHfEBqn umpXCb8f3z+x3xHn9XFfMYjoVYD+ZvDrCLxwgDwzIV8R5G1GvVqJ+lWqQvot RN9wu4H0T9Mme2yZiz76g3QfzfrjISbURydkUP/88CH1bS/Qt+1A/3EM/YeS D9VRHdTRmagHrqgH24FrY4BrT5Cf95GfZxBnmYizr7CXD+zVIaBVoqccy7fu o1Ue37uw/wjnP7E4Bb1XoH8T/NaD/27IYw/5NCHvMMjfFfrUod9qlZC+LtDf 8DbZozCZ7BO0VvrdwdYZr8m+QiKd89Ak+/9GP1wL/+wCn47w3yzIcR7+XQ85 PeH/ndAjHvHxGXr+RTwGwQ5yiC8n2Gk71q6wnz++/bCy+H2F+y9Brwb0DcBP FvxdII8L5EuGvPqQ/wPLL8RJNfSN7kv6b5xC9niQQvaJfiv9TmNxySPfbRC3 23UID1o+4p2xnfDCA3m9cCvhSTrywhV4swR5swV41A15tRB4dR159wB4tgV5 WYj1K/I2AfZpRtw9w/dn7JvjPFtTQI/VKw3w+wNcYfIw3AmGvCrApb3A+23I 63fQ17OG9D+mSfboMZvss0BN+l3LcNIL9doQOKqF95U66swf1OtwJcLhyahv 91FnBqL+yQLHN6A+sn5kKupn7TqqA56OtAZD/5fQ/zni6h7i6hfy9SO+v2D/ Ps5fw/1roKfhTOtA8GtCnVkPeXpBvs/oL45C/o/oP3RRZ+ZDX+O3pP9h9C+/ UYdnbpeeA7C6rYX+cY6E6no8+kdV9D2L8L6KxXvrYT71W+/wbtD2oH5MHX3F LPRr69F3eGAdDv3aw76LETf9EbeHkY8HkI81wDkO387Yb4fzzaPofiPsNQH0 N4Af61vPQB5nyOfmRvLOR9/WC/1wOPQ7jX65Bu/0wbDHXsx31p+VnpuwPvJn PfXn/dBnntyP9zz60Pno7yNrqE+VR/9vij72AN4H+ehzV2HNh/yOkN8KcfEV 7w935JsW8s0WOMbqlSvqgzu+vbCvi/NWuK+EOHMD/a7gtwL8yyDPeayT8e66 BPmDoU8w+vAL0Pc59F+F94wt7LO+QXrOxN414/BenIh3z1K8JzviXWSH9+YK vJvYu/p9IL2reuB9tQLy3YF8Jjbk93t4X3dD/pcjn84CpwYBp64A/zcC/6ej ri7Hdxb2F+E8e1deBL2uoH8K/fXaYOIfBnnq4e90yFuKNQf6OEC/AOg7Bfqv hT3mwj4DRHM59s42HETzi+kn6B3ufZPmG3PxTn8SRfOPxtP0jn+NdTz4vwoh /ubwqz7i1kFC+WKEeU8QcHUF5j0DgO8KwPdC1M0A9AXXMaeIw3cp9j370Pl4 9M9ywLVPgUT/D94le/Deewt5BkK+ebBXHuQfifkEj3Ue5j3x0H8d5l89MaeY P0R6jsnmPhNkaJ7WeQDNhT4E0Lwt/y7NjR5j1QT9cNAfAL/9CCS/5SMfGpAP lzA3a4f54wjMtRoxL3Twpbr46DnVxU7tqN+43o/6jbfZ1MddUMH3n0n/7ntX 0/nJO+m+CuphA+pD9WTityeH+OdBHh/I1wtx5gz590GfqdBPGfOyvlgHBJI9 9AaSfYbJSM992RzyxDma817+RHPKU1hPwp6V/em+IvwSjrh9N57i/YUTxfsy 4AgPHNHrQPgckk/4nIw+QDeY6l6zGvUTSgbUT0zToD5tfhL1afEN1P+2oP+t Rl/bSZ/Ov8f9BYeIni7oX8acwKAz8TeGPGMg33Tk5yLkayT0GQL9niKerPeT /qawB4c15pz0nFw8H78q2jcX2b16sHQ8x9+TxonDIvzdHy1d16x3SvcL74ZK 92H8S+n+NmqO9LtB+Y30e8xTVfqdGyP6n+SnaC6zXDTv6iOaIx4cLD2fHSwj Pfd2Pvf//7+CeqHKyJz6lMk3sr8fKh0mO9Veve+LEfVTpml1GXvm6scZWrme Pe8dvjZous2o6T/mdHo0ffIDzf19PrhoBx30alnV/rW27AOjvUeSp+jcCli+ KMHaVmf21j89LA95/PfN9tl5dp/RY/QZP8afySOWT73qQdxhv+8Fym/G1w/r q8rdzs9V6mZjKKRPedcwNNCB+yrHa5nfdhU096U33bx4Shg8bs/7D39dOPVK a+Ong2O4EwsKMmU3+nMHs90Cbs3xEK4Z0LfvXdrfr07nr+yl+4tBT24q0R9Q QPzCwV/7Pskjtt9I7I/NmpSuY24ozP963PJ26/+7v/76oWUZ+4V+a3vtXDdu Hzf9yZEPr0MLue0NI/dkZfgLGU9UPh8zLBFMtoxV6vAsnVuTkDnRoHMFZ+BO 33LYX91M5z8/pvuCFdGzBf0g8AsF/2OQR+zf67DfLJzvu+d9yveQQOHKH1vN jpviuKTvQwarhtpy5VZDMifqvxFCN40Nj1x0RXgxbuA2i42/OOPGA/1iN3bm P+kmtvXoLM///kLftdjv7Uzn/XC/otfQf+l9BX1n8EsE/5mwrzj+JPCvOvQr w31bvZQny4QsoVzva/Puuw8Fbe6qafLHTnx9aLVBvm0v3ltu0PkOh6bxtm2q Gx99N+WPX57it3eHFe+J71DsR+B83Qy6HzWT6PmBfve/xG8j+PdCPIjzQxnx Egx/DOlB+gaC3uBko5/CSDl+ae/h7XrqjpZ8CHgd1fHMKn5Zn/6/3ZYe4hu8 HYU/P2J46xOTjjzXvsB/wvca7E/eT+ffKdP9PNDrrE/0o2BfLfBXhzzi/L2I +L6F+JkL/1yF/utA39Qg78ie1I28iX3ZpWEBF3j7Kwvad9S+xn/oFncgaPd9 3vOO7RGPi4/4enzbYn8Vzuvj/knQqwV9c/D7Dv45kEeML5VjKB8X1lG8m7tQ PCmGkb/6wR4LwS92ZkjP+G93+ZVBV7t0VH7NH+r4o2/AyTre//gNr+FGH/gD +DbH/gWct8b9oaAXj3jovJH4JX0n/r0mkjxi/CsqJ/wY8Yjy02ssxf9bxNcq +G8D7LMC/Lub/NI+rvyBf9hHb8KfBy/5j1u6XEhdX8PX4LsH9tl5Zl8z0AsA fZnxxO8U8KEv8E6Mz9+nEt7J7SQ8UUC+nkM+fEC8vYU/mb2eQB7/txExG0eU 8r6xo+XilVP5vfhm+4E4X4f79aDnAfq3wS/Sg/i/Bv6K64fSK8JntYuEf/10 CF9Skb8sPzYh/nbDv59gPx/Ip7zj2va/X7f8J+9n7O/DeQ/cXwl6J0B/PvBs ciLxtykhecT1bTlP8qtsJ30soF8Y9P0I/d/DHnthH+bvXbDfLpE9H2P/sMie zD9WoN8F+HvajfhvNZS2J/N/ZAXFw57HFB93EJ9XET/rEE8OLL4Qbwqi+KyD /Z7iuxv22Xk73F8LejGgn4N6oI/4LLwrHZ8sn84i31e/p3zLRr1RQ77/AF4u Qb7GIH8ZfxZ/LB4C8M3yJ46dx/1W0JMF/efAFxPwHz9GOt8ZPt0AXjUAvzYC z2qAb77Au1nAv5Xgtx72Yfm1GfH3XoSfy3F+Lu5XgZ4C6lsw+A1G/6CyTxo/ Gd6PBv6vQz1oVaT68Az1yAv1oxX0OwD/HOC/OsSbOfLjPb5XYl8R5z1xfzHo +YD+gHbE7wP4rxfVI1Y/P6O+m6O+fkR9t0b9nQ96faH/U+DzAsSXM/KB5e8O fPtj/wLOZ8I/80DPEvT7ob7PZ/ynSNd31o80ol/yRb9iiP7lDuTdLk/6XoV/ FqL/SQA+uyBftYEvX4EXL5EfGU50ntVjK1miVwH668FvE/h3EPVLrL8bj37P Gv2fG85rQr8x1uSPSYifp98o3sfUUH5eRP+pAfx7AbxuQ/5mN9H5EsT/KNDT Av394DcH/OeJ+k/WL3ujn3fCfg/o8xD23454MUB8v0D9NbxH+BE/n/Au/ybh s+Ms+lZG/ZuI89uQr96gVwr6n+HPweBvUCXdz/9feR/1U+qoPMPdesqoSZ8m CqNvFZhhZb8bfhv22qqvArdB1UHB4X13zrXRNG3BtbNT9TNytEPcNIUFVdG6 WrXThTFpL+3K4iTTElo8djtGreButLqVPnKy4sLdm5tPx6ZpjWtY/fdiLw/h /J0jh1xnuwgnL1ROOPnFdzo3Ydv+DRY+3CC9oXdHRx4SVG8v/LW+eZT2r0WD XQs2neBc7HJv1mz25gKfBXQrWp2sfXOjeVrC/khByThiy+11wdyi+HHfmuN7 6rR3EXIs/tklhIyN+Kcycr3w0G/WkFMnjHW2xW8t210ZwZlPKYy91m6P0Dhz 6/jZn7boJFyg3/Wn0Xn2+ycnouOxlOgzOnabiO/XDSQP43sGchbwJD+TM1ed 9DKCvkyvlbCD/A+yD7PDd9jtEuzJ7JYNO8cMJ/szOy9vIb9wU8lfzC8mU6X9 x1a2vwV+1IJfF7wcpO5rOFmYhdXZ2sw/tbsZt8ZStSledSUXGdBil3Z9qxC6 6vTdZZ28BX0vv2U7zY5zTTXaJr+MfLngS3KLE+6GCGkro6aM6HWRi+i4J9ey R4kQoFyzsK29txBQrtvdrovAGXnYnh4ekSL8slcriLxVzC3Mr97+4tJmTqnF RO+GZiLX/mnfR4Mk57iyr/TdVk77g3H+gTvd168geub9if5m8JsL/rKQxx7y OUDe75D/E/RJh36Poa8E+l/Dagz7hg+Xjntm/0nwEw//rAQ9Zr/Rzsv37f// qHPzsJyiLmzcEEKKJKGRyDxmaHBOCCEkpIiSJBkaVahEyZQmoWQoswpFpUGn JDSrkDImJGWmJOF7f9a9Xddzft97fX+/f+3rPHvvNe217nXv/aRvFkZjTO3j dm+YQwTnG9mp4dbVQ9zZszqz1tYkCD3CNrqnLg0QHm71rpB6elFY2LDb7MTd u0Lc2FMRM46+4dpoO8wPdVLjDJtm5xkOOcedck9M9L/xhOtyup9shP1nLnpX blmTwyOuWvXC5OS1Mvwzj03etfcfcAPU6PtYAM0fwPq52N/8heS10Xf+K98P +u7Vk/5V3mTPrGCy7zLsFWD/L/jjB//2YrwP//MQjyTEp0KEEyy/y4ETR5D/ iTinKJxTMPRlQN/PjZu2PBAShbcYczvUpkgPSOYWqO+r7zr0khArpXNx89uX nOWQOXvDsz9zY8tetOwObp8V8kBX5WbyY87X6pq5oDuSV7XR2VQ7/ys3Mkl7 f2b1PH7Jpn3abY9p8n6zes+9ZbyM3/wpcoL7t9G8F76dMD8G6z+upP0C5B27 R/J/l5I+degf0IHsMR1A9p2HvQqOZL8axm59yb8C+PsV/v9EPLp9p/jI/JDE VYYfA4AzKsCXscj/6ch/L5xjDM6xO+w5CntqDp++qr+illuIcbnipPTVu/tk GRyQ3bUpr0+WrY3BqA+t8/k+Cd5fkr4M55t9OiX/uuvNe3BdEyfdWs1/L7Ab rWkRyR+40WdrylAfvk/jg+SCqrP8tukqCb7H/XllfEdi/ifWb8f+NttIXgzk 74G+2jDSHw17dCLIPleMIbC/Ev5Uwj+nIPJ3I/wfjHhYIz76oj7E8DkOOG4N /NYErjRfJFzZi/oI9KL6aB1M5/waeXcR9vaHvVf8bhkXhS3kKzGOmZuus9r3 AF9fvfaLpud+vsfmL63HZ6bz+/iJu1zMLvO6MlnJO26X8grmwXFn32bzL6KG 5HjcqOS3tpY+POF26993L8yz9QHYz+TVQf546CuF/lyMe2HfQ9hrizz9BX+G ov4ZHmTAf1PEIwHxyeEl+zbrf5vsqE8uR3807UF4PRJ43cbA7i/u9AHu1FdQ /VihfqYgD8yQB9XwZxz8MXz8c3pJfTY/HWO/7ubrlo97yiuVVeyL2lPJnxwz 5c6pF294lT1dW9w9XvKtLXe1ZY3reWnXxJ4zHrz+990X82w9268KeTMhfwZG Pej/AHs2wb5Q2PsY9p++T/7YMxyvdvrrrxP8H96X4hGK+BxYK8lzGL94OZ94 iDR4zzg36oNGJdQH7dwIz+XbzfmL5962hEtWwCV31FdX1NcOUZ4owt++8Pdp 0XS5uD1v/42zpbsse6P2hudb80LaLHrLJ2YmtrM0fc6rHrpzP6fnG/4qvg0w Pwfrn2D/M4wsnr2gTx76d8KeP8ATT9h7FvZ7AmcPNVK/ckf/qgOv4MArAsHP hoh4IeNvJYuI5121J37Xpv3Dv/xCw574ReQO6pNbzlCfrAXeywPvg4FbjcAt edSfHuqP5VE08mgK4jEL8egWPK956ZsHfBeMQyMSj3Q4mcJrtpHvE9+Y/+9b BvOyGMXxPwH5TJ+OCC++wb4jsHcy7PeCP7PAA77tJH+fgV8Z3Ce+peJI8cnR keTR/3gzTzxa/zLxZ/PXxNu6vyHeVudC/KMV/OMR+ugq9FF/9IPe6AcuwLUa 4Jq4PtWQZ5eRZwMRLy3Eq8jI8VeK2YF/YynGQZgfgPUsT9Uh7yfkd4Y+hqub YY+iqH9tgf074c8a+NfNnfzN+0D+t3tO8VgTR/F5NVHy3sFG25mI70Vad/4d xf9SPcnZ5kfnkwc9xTg/O9jB+qgS7GTn/xJ+sPz4AT855M9FxIHlGYsTG1n8 WHyHYeyK9Ymiev8F+crQx/T3hj3snA/CXlfYPx/+GMK/QPDUlM/kv1cexSMZ 97SlYyTvaSwvH5pQvdeto7ytAD42oK7nbiK8aETev11FeNIPdeENvGlG3TB8 nIy6YnjF6u4R8MwIdclGacQnQZSnV/DdVVTPbGT4KO4/+tC/F/Yw3NkMeyfB fn3w2G7wbwHwUcmB/H+Be5Mc7sfJonstw8n96NfW6DNH5ak/rUCfaSOz5m// im0lHLZDv3YDTi9A/+uIPsP6tRJw3lDUp9nI+kQM/Gd5+pvlFeq1VZTHbD3r U2K5rG93g/4vsKc77FOCvR6w3wL+uKOPtpEmfhII/1u7UzzGIj4edpLvAKxv F4MP7UZfNwZfmoa+fxd8ygy8QBX3hCjwhrvgY3PAK9LA17TBOxj/YXxEFv71 Rt7oivoRwzWGcwxn+2Ce9a+e2M94AZPP9DLemg971sG+37C3DvZrwp8d8E8J 99ld8D8S8fiA+LB3HxY/xiOngp9fZO8o4O8/wUNX4T4zDDx1A/i/EnjsCNwP LMFz3TA+E9n/HnnRCXnBePgH1JsicEwBOOaJ/sBwrZeo7/qL+Mw7yDeFvmzo N4A9szE+xb3rFe4ROzTIH2XcM4xCyN/1eN8IQTyk8X62QvTOxO41X3G/Nsa9 5xHuk6txL0rBfTMd9yZ2Lz2Me1Uaxvsi+9rhXtgW9+tVqKcTqKc9wKkFwKnD wP9NwP+t6Ksb8b0f8wzXGG8NhzzGrwOQZ1eQd+WwJwv2VcPeEowa8Ocl/EuF v+xdqBrxMEV8Gpol3+XYPXsL3i9K8U4RhPeNYtzTV+D94yneKaoxfsU7xTno V+1P5/oY52qCeolHvazBvSHlE+FsiTX47ynC9xnom4PRNyPBRzbiexfmB6Af lII/z/hO8hrwTqENfV9x3+sKe9rBviTYK434fYY/nfFOYQN/C9j7IOLxEvHZ KnrHZO8+yXh/tMK7kCPe2yLwbhSF0QzyWXyDcG7LcW7TUA/zUA96wJlL7H45 mN61tuG9sNiD+mI1+mIQ3s12gG/Ygse1vqNvTfCRP+DHqeirq3HvaGPu+Fe+ MvTtAq57wZ41sG8Z7D0J+8vhjzP8Ow5/wzF6Ih7r2bvvAMl3X/YOWT6W3nn3 4h03BuNu7PfB/oM4l2c4lyzk+xTkeyBwpA44mw58HjKP8FlahfpeTyfqe0Ye xCeKXYhPaAvE00rA09aC/xrG03cI7hWLwD+m477WAfe1CXjHNUQ/kIP+H7An CPYZwN47sL8Y/hyFf2vhrx3890c8QjGWj5Z8Jxe/j18Xzd8Qxd1dlM9VIpyw F+HvWFFfa+MgyRcmLZTkYeEjJPmtuY7kvSFFT/I+NlJ0zx0uej/YKnqXWS56 73ou+n/GXfQ+GyX6v0d/7P/9f4XNab39rN4nJPFZQ2WkB3ZKubfkVqvR+/HX Xtusjk/4NDn1WYSzcnCBaprKAA2/a52q0mZe2XI9s8Ep/XX/fSbz279KLzwQ XR6fOD7j3leT75Wr7DIGTGn4FRrs/u+bzbP1bD+Tx+QzfUw/s0dsX/iqeWeO Vo7lesZoHWzTa5ZgrBFUPHDefE566ebVBTPmcjnRSyNV3x8QZnR+VFZ1M53T 39/GWfdzJnc68U9Msvd54cqLXzcnOycIectUDT4POyfk4fsb5rUCab1bJ9r/ 8yTJi1hG8meokr7gaNI/C/aI48fDvtouS9ourLfgSlfvXjwgcQY3/fbtmrO/ g4W9KzKejYi+zlmXKKZ/f5/7Hxxe3WHUvHKBK2nMc6sr4+Zt7dzRM76B27Ix WC+q4At31oe+WwtpXnYfre+aT/sPWUFeLsl3WkP6JnYl/SawR3y+Rerkj/1a Wh/omq/8q/iAoL3tRNqT3slc2NXQx9u33xdsw11vC73ec9rZJXeEr9+4mo8/ bJLjvnH1+1zdYlKU+TM9W3tEhmrxpvjW/0TzuZm0fkoo7TdLIXnZkO++ifQZ eZB+KRWyR5x/IfMp/t3h3wtv2Dfvw5u8aeXC0lU7T/YzaeKOzLQ+nri4Z5bD rcvPH977wekaaZYLFma8oUvrtyFr1/Oai32Wa8xw4WPxfQDz39JofffptH+q LcmTnkvyT0PfvJuk32ge2SOujwXIPxucbzfEbzrk/ZIOzpm+TjNr1cSqBRMa pvLBWtxGznM7H9e79LBh/FF+4xMNw/FN53mP0s7fv425yDvh+y7mfbF+EPZf 6kLyXFaTfFnEt+1K0j/jFNkjrt8a5PemIsofpTA6H0vEzwvyrx7YlfJVO4g/ Oih1+JQel/ifeuu+nrFO5nVdVCwqHp/n9XRn+IcUHuKj8K2lT/NRWK8UTvs5 yGsxJPkFQaRPKY/0R3Uge8T4IhNK9XgI+f7kJuXTk+t0XumIhxf09ZuzdLnt tQS+WcNx5FrTjKyklPPTc2oLs+Zo8fvH3ivK2onvOMy/m03r12L/XsizSST5 tjdInw30rw8me8T4V5lK+KGZR/V5vZ7y//FMyq8LOL8mxK9Pf9Lvl3jmTlBp flabZ+t7/sh35n8qHdbOrE/ibarp2w3zC2FvV8T3DeS9hnypD6RPJpf0f0sh e8T4/Kye8K7zNsKT13upXltRD37INzOcZwLidegV2ROqeNx79KMcPufxt9fV F9L5GHybvaD5WVjfE/tdIM8J8ufuJ30hwLPBz8gecf+IsCF89nMi/NsqT/jC 6ncp6uOFDuWfNc63GvE7BvuifLRO5+Yd4y/he2ofmtfG+q7IX1/I6wb5Wr1I n9t60j9pCtkj7m9Hq8l+G2/yRy2Y/HsEf0/Af23EwwPx0X5J8QpB/M7AvkB8 NyHeDlif7Uz7AyBPEfJ1gkhfrTvpb34sGU92/p7RlA/xNyk/1L9Rvlgif54g n34gP92QbzbIPxPY04L4Wj+l712Yj8b6KcjPWsgbBHy1/EL6tNG/ii5K5ier p5Xo18Z7qN7uo/6s8qker6A+7VCvtahfH+jfiHjp4Xwj8L0E86rAh7PYz/B0 cg7JX49+pQD9zvsk653hkyzwU7aA8Cs5hPBMcQbh21DgXQPwMwb6NBCfcciH TD3KPxN885j3xPqv2P9sAsnrj/7UCf1UE/2/ZydJ/GR4rxRD+J+KflSKfpSD fjm8M/WPeMj3Rzxe4vwckG+mqA8PfOdg/iTW38b+3ZC3wYbkP4I+8+Wk3zVa sh+x/tl9NvVTsxzqrzHot4qs/0LeLfSPrwKd10/kL+vnM1G/Nfj+gPnTpbR+ Mc5HAf2y1ZjkN/qQvo7o7+amkv2d8ZEv4H91jsRXHrsRf+HAZ57B313Ih09Z lE8zUG+JwNugHoQve/Ft10DzIcj32GDa3zEZ8UM8eOjzXUn6FTUk+RLjd1ng e71liP/ttqH1feBfGM6j6g7lT/leyvdvBVSfp4DP/VwI/27voO+8fJpXBl8d i/zLBv/MvkHyu9uTvgXQ7yTin4wvO4A/vwef7q9G/hiZU/w/IF+mIL/vgZ8P jyX8UH5LeDfaifC5BP3tE/rfeOCJV0fa/wv1UGlE8ocjfo2wL1/E5/9X7kc9 NQKqPrmvTHbvVBZf8GUEF4qR/a59UtVBN8hAKA9x6SQ7bbqwrLfiKp38UynD b1eavH1mwpUXDXA7PmwBp+1VaPnqfNa1iB6nDzi08EK4/Ttv74f63LDCXvMc z15JnbdJpfua1q1Ca7LHOgO7ICE38WqHqV9808rfjBpmvy2eW6b3Y97wxjPc yjOvnt9vGpw+2Kj3vDe5CYLnpyyzPz5HuPICxZelVpfTrdNLZa4+PsHZflV/ l7rirOBXcCL3YmyPjDMVKj7azpc431e9IhuGOgnV8lHb1h81zVBfw/X9reku mBh+mRwSe4B7rSyXrPLJJcNXnX6vllb8u579fqOK5AR+JvlMzqc40pv3mexh eptnkJ2/J5H9zE71t+TXtWvkL/MrwJ3iYLmW4sPicFqa4qaNeLK4pd6iOMch /izOH2LoXNxwXuxcDETnx0Y2z85xNM51ZrsAu2trF3LjMKr3LuK6hi4Urpvu DdhaOU1o/PL27C9rb6HdmdQOvet9hS16lyc25PzHr5V7z/fp+59zk1PLjVuY LRxKjvp5c81Nwb3LJumSzOfcKQdllbFtS4QJI9L3FWqWcfoHGl77DUrnsn2M 3UfV7BEyKk6Uy7jc5h4d9beuOFfLRWcU5d1bns4VRNF3tyqaNzhG6w3Dab8l 5MlAfmsn0tc/ifQrdSd7lq0i+4bAXjPYf+Ur+dMyl/yrUSR/c9uS/yMRh2bE 95ko7//lOc5pOuogfQHJW4j4mZhJbe1S6S28XkzjwmEHy/dtjeO8L7iP+XYl jgsedm6Eb3mBoLhNY8uF6aXCZu8YhdXV9ZxB7/7JwZp3OaVrx7fbhv0Qfm/X /LT79keu4F7XaWVTvwrDA2VGzdhWxj35dPOR6+B+fPQ1+amROjFc+ePwDpNN tfj7fzo9cl9bxbk8oe/ojTSf8pnWm++n/V4VJO/+DpLvkkL6FnYn/cU+ZM9J 2Ld2ONk7GfbfGk7+tFtC/jlZ0GiPeL6aTfHogvhEFUriBMvvbCvUAXBj0Gk6 Jx7nVHme9A1H/NKDZxQ6RNwVVoXQqPi+78XxQe85h+OfPsY/auAKNJ+aJt3r nuV5p/TDkDF1QojVgKl9P/bho/mJ0xv5z8LAAjvdvGvG/JWsBX4Kv0bxCQrj Oi1bbcMvURvpZRE1nV+w/OIO/3OOfOOR/XHmHYx5E3zvxfxdrC/AfnfIM59M 8pstSd/tHNLfdyDZMzWa7Nv0juy9AfvPwZ/DiOcF+Hu6kfw3QDzyOlJ8Aq0k cZXhx1bgajc3whdn1OcvXcr/Fh86x4dD6RxHIF5bED+/Xr/j7E52z5qGcZVm i3fmzzH8y4Qmdaskdf7QOZmNNj7r+EiLHuPSEq34vS0an3+qhfAJ3GvHbVo+ fKJLY9ffrad4q2kqJfMag3nLORE+qlHx/GTF7Dzb5eH8RnwbYb4A6w9j/0HI +wr5cdC35jLpnzqQ7EmCfY0YzyOeSojvfNTVT+TtYNR/PPCgHvFxSJXsQwyf P+gQjjugL50FrkwDzpUrUH0MR722uUXn/Ap59wrxykH8FpuqRBv4u/AuGG8s OX4uc3Y0/3uZoeqp2Uf4xxFGnXY7JfFHfIaXbVyUwIcttt5m6nuFH9CvMK19 ejK/S+Xbwog5x/jBvwziUzRS+DH41sL8fqw/gf1MnrolyU+EvgDoX40xCPHc iPgaIk8vZJM/yaj/JXLAA+Bq26sUj/o6ik/RRMm+zfqfZxP1yd3ojzM2EF4H dCa8fuJHuDMGuBM9jerHDfX6G3kQjzx4gXgVwp9Ny3/NvLwzmd+C8ZDN7oCk BPesrIYmP3Pb43xW+a630qfuZCVNmfT5dvfUrG2nXn0I+FqU9Xt1/O4irZws P3zvw3wK1rd/R/t7rCR5PpC/G2M69HdBfMNg36ilZG8j6t9oKvkTk0z+qfqT v+fRr66tp3gMm07xkfomyXMYv0gFD/GNIf7x5CD1wfqR1AelwwjPS6sIz3Wz CZdGA5cyUF9+qK8w5Ekt8mQP4jV1Ffm72Huxed3Vwqx1GJ2PKHQbL5eeVdUn K+Ja7a2sjhZz9gb2S+Q1TjZ/Hq+bnjUA37cwH471s7F/FcYMyH8HfV+g3x/2 MDzJh70+sN8NOPvtMfmXHUH+HoX/EWEUD/VjFB/5j5K8kPG3bCXiedsfEr8b +Iz4Rfa0uX/5RbQF9UkT9Mk44H0W8H4EcOsmcEsF9ReM+ruAPLqDPHqMeCxE PCydtbZfepnNL8N4feCsOD8bgTcYFrMt1/gmn4/vlaJ1ith/A/JYXltB3xXo 7w170mCfDewthv2D4U8T4w27yF+Dy8Svdj6geLyrpPioN0vyaMaPnSYQj24D /jz4JvE23yPE2yq/Ev9IAv9YFkV9dBL66CT0A0f0AzXg2lDgmpwd1Wc06rM5 hvKsO/LMEPG6h3h5ahsuX2pyjj+M0Q1jLeZnYr0S9tdA3k7IbwUe7ID+AbDH AvYZwl5P2O8GXuDG+JWM9F9/nx0n/6vPUzwMxlJ8fJdI3jvYmF1N8VX/Mvnv ulzEPwH8N/oUnU+Pp6SnVpXOzwp2mOJ818LOPjh/P/jBcC8CfpYjf1rNKQ6L kV9FiFM5RlfEr0z0O8vHcYhjEeR5Q/4G6HuuTPo1YM8i2OcIe0/B/hL4ow/e 6tu/519/L0WT/7plFI/qXIqjwYVeEvc0lpe3G6jexxdR3hrsJDyI9p3zN6/t owgvtJD38QLhiVovqovuPOFNEuomGHiUhbryBl7dQt0tBJ6Zoi49Ma5FfBoR 3/HIu86I11LMs32mIpy8CfnXoe8E9IfCngzYlwN8fIO6VgY+GsO/pFDy19qa 6lohmOLx4x7Fx010r/13j8U92zeRcLQM96tU4KwZ7gkpDwmHc6dQf5sAnM5F v/YHjr9Dv24Eznujf05An/6A0Rz+34b/acgrVv+tqNfT+C7AfA7W22P/Jsiz xLgd+lif6YV+fQ72HYS9I2F/G33yx+EB+Xca964A3Dfd11I8fK9QfNZ/lHwH YH37B94BfqKvt4IvbZKmvh/Vg/jU5yTiBVW4J5iC9ywBf8wHr7AAX8sE77iC cSf8ew//2oK3xLC8QT2mAw9+Auf64NsZ84ew/gXy7jPkBUF+KvQx3rMd9pTA Pivwx2HLyX5H+HMRvMcJ98kD4D31iEcL4lMoejdhPFI/hfh5CXj4S9xn5oKH K4Hf+4KHn8F95jF4+GrcD9LBw09ijIT9RbBfEXkRgbyIENUbw7E1wDEl9Iet +NbGfBa7zzAeD3lSkH+V3WegvxT2XMcoy+4zsP8k/PGHf3dxf3skS/6vQjwC EZ+xyZLvTOxeU2RO90VjV7r3HD1F90lH3Aun4r5ZhHvhItxHN+JeZYexP+zb DvuG4NylcO5JqKfdqKcs4FQ1cMoA+N8X+D8afbUjvgdjvgTrS7B/EOQdh/yj qJNNqBNb3FtKYN8h2GuBcRzu2fm4F16Dv4Hw3wH36x24F3qukHyXY/dsPbz3 WMvSPVx/Pr1v3MQ7hRneQR7gnUIW9/n+0B8B/a441xM4V/MbVC9HgQcKBoRD ccDZZ+hXV4DvkeBxx8A/BPArE/CEDMyXYH0H3Acu4r3nOuTnQ1831OsX2ON7 guzLRj6MQz5shl/fMF7Cu5YU3gdt8F4YjnecNsWS75js3WdwKL2n7ca70BW8 t61QonejCoy3IX8S5Efj3M7g3PJRD3tQDytkCWdmAGcm4H7pNprwuxL3JPV1 1BfV3YlfLYokvrG+gXjr0Qj6NhlI89XnaH0l+qo8+kEA+kM4cP09cK4R+OQF fJoJe7vD/pPwZwveB2vhb4c+NIYgHvaIj3Ko5Lsve4dk7/VD8Y7bF+Nw7O+O /ZomdC7a3ehc4pHvhniPjwWOfAOO3Ac+7wY+14AHmMRT33MKJD6RintU7yfE 06xfEo+tLCb+2+Y0fZ/DPesX3tW98I5bepHkHYL8AOg7D/1meF+4ZEP2yQG/ 3IBfMj3Jn1S8u56HvxXwfx3iYYOxTvROLn4f3yuafyd6bz8uepcPXymJE04i /A0Q9bWIL5J8oemTJA/zVZX8H8J6sOS9wXqGosR9rPWL5D13tOh/EstJku8y Xa5JvncNXyJ6RxT9jzMpVPLdO/e//K+gYJJY1ybwkrZnv8YYrRqpCYdSd15/ mjdu4rK7q3Wr2utNUv5t7LMxr59Ox1Bh96WDFTobF5z7Jbtno67BzvPfcmRr dKuP9vFRODBOr+sEI9PKcbZ63jUr8ucsc/v3zebZerafyWPymT6mn9nz/7PP Y3j/y2o1kwumrFpobNqNa8xXvf/VfJrwpNnBaquMAzfk4ereiS5bhZNSI8Ja Px4QAtxcMq20gri3HR5ct70UzSncld5oKaziZg/Z8OZh1F7BLIW+Z2J+pget l8P+dRUkz+EHyTcuIH32hqT/9CayRxy/OVNp/seawB2x2lOEdlLHNGNOrOWu rTmgc9JrnxA+SLlV2v3gfzDDbmvO0Qxu/+/IbtURp4VHz0o3FfzJEi7tD6g9 bHyLe51x85utzkOuKYi+l2G+uu2Rv+tXhND+pwNJ3nR7kr8M+sLsSb8a7BWf 73vEr749rZcrX9qknB8o9K+4c6DD/PPcja0uppo1x4S2j0r+bP38Qqjt1/TO IiOBy35Z4HZnyB/Ooe8p7y1NMvzQs+fP7jvXg3/Rh75PYD5yAK2PraL9gZ4k 7yDkb4K+MNjrh/iK84+dbzziNwj7oy/GjfnTPlNoXzxtp2zIXWHVobtDske2 441HSh1M3KbAN82QMfhZY8Dbb3/Jmcyx5G+NeiFtuN+W34LvrjNpvmAErZfF /oASkmdwieR7Qd8kxHcJ8kFcH6rIl904j2nw1x3yXpVq71R6+4f7I/Uhq+yo clanB9Fb5c+s5sM67NvRlBDKF5kNmpOz9wy/wH2X31LteL4Y35GYH4P199rT /owyktcB8iM2kz555NdJ2COuX2fk917kzzmcT3v4Pxbyl9VKvZH9s4l/2eld v5BD8fw2FcX5QVPz+C49ij7qFj/gv9p9OBBRWPXv2wfztVi/HPubIa8X5JdB 3y3oPwh7xPiywZXqcdUvqo+GPpRP63C+mohHJfQV/Li7q71FOZ842mqBXuZL fkhD/YRd7+v4zTLrnKZHveUH4zsB8yVY/w77h0JeE/LhoAbpk0K9TQU+iPHv dTvCD59Kqs/mF5T/45FfB3F+LD6XoJ+/+17zvutbvse2AI3lD2v4V11vbNSt fsor4Hsq5i9jvTf2M3ktyG8z1Fsw8KEr8EyMzwXLCe/UwwlP5ilRvSagHvKQ bx1wnoMQL3nYI9+1nbdxpzz+iOqYML7qKq+AbzbP4i2N/QWQ5w35J4EPF0NI f85pskfcP95PI3wen0341/sM4csH1C+rj4/IP0+c72vE7xDs21iuJd80x/ff dx3mvbG+CfvnQl4h5NdBX/510s+NJHvE/S3JlezfcID8eYF4xsLfEvjfCfHo j/h0R7zkEL8I2NcT3z0xP/y/xHM55HcD/u5Df8hOl4wnO/8b7Skfhj2i/Jhe Q/miivxk+MLqm+WbHvKP2fsC8WP5yovyczv2R0FeF8ifgPxc+pT0N0hJ5ier p0Inqq+YFqr3j4pUf91GUT32RH0+Qb3eQf0y/YNF9a4pqvcirH+N/V0gzx54 Mqk36WsDvBnmKlnvDJ/igVflwK/XwLN+wLdq4N0S4B/DQy/Eh9XXZ+SftAg/ a7DeEvvt0C9MIP8D9HUHfygV4SfD+47Afw/0oxJ36g+6d6lfvEP/WAj5cojH cZzfHeTbHNQH+w7HfG+sz4a/UyFvDfrRffSjSug3F/Uj1j+V0U87ob+aot9W or97QZ4l/LfAeb0A/jmjHopRv9vx3Yp5XaxXw35ryPOBfAPoywS/qGyW7O+M j0iDn+iBr+iAvxhh/1j0+3bgS25qlE8NyH9p1Gse8GUL8LAv5vtg/R2crwB5 wyBfC/rkoL85X5IvMX63AvzTGPxvCNa/h38FOI++yJ+xbai/tTyn+uwLPJHP JPyzBF43oH4z/1B93EX+X4G825DfBD7ZDP77ZIok/2R8WQt8fs00mtdGfFWR D6uRLynIb013qscG9LfRaYR3KqMJn1OO0Hcz8EV5E63fi/0TIa8a53sb8fOE fTaeknz+f+V+VJt+tO9Uf6vx5V+c+3epbZxcgpH9npIgP+/l45eZpYEDNsem fMrUDYoqt3gUM6Fqt4v7mjmawtPDXi5BRaOE2IUmDV1Cr09s/6JnnyD3RdyW S3eS7llZcQGxeULzvYRJpxM7x06O8hCeLGw6UL5jk3DrwYzwsnAfnemjjlYZ Ne3its7s/vr+Kn8hpIPcJJeAQbodrnGFceWhnM6Hq2tSZ/pzw7yfDu03P15X 78qQmh3K/8nrtG7HK9L3cQX1bV+ceCGnN3iOlTAx2FpQWb3h8Ct3J8HzxqyF nwpM9KR2GWyzWHiEWyR9KmduvL9wcP2hWW6Kznqf8PshB1rPfjfkSI5lKsln cnZdJb3hH8kepjckhexsnkH2Mzv7w68A+Mv8anOF4jD/MsWHxWEt4vYoguLJ 4tayh+J8aQ/Fn8XZNJ7OxRjnxc7FUHR+bGTzm3COuTjXcleryw7HBwgXMaZq XaiZuHUht/zVRe+qY4u5JTf6dH1lvUU4Puu4Xt21rYJs/tzVmtMiuW8rb7df Ir+Pa9Xa6Xy4PloYL/P5T+fkM9wI38tl40dkCH2HvV1s63lMUBiyM2OJ203u RL9euiU34oWCyNTiC2q53PNvyxRiPSK5vDPr/G38r3NPDo2bptMxgftzir77 t9C8YwStj+5L+49CXswIkn91G+m72pX034U9DrBvA+zlZpP9+fDnDvwzG0z+ fnEj/39gdEF8P+2RzHsW/7PI+6eogyWQdxXx63As7aqs7xZBCaPFBK3XU3of 5ayS9ao2pR7hFPs/t25aniy4Pl5TMbY6Rnix3LFxTL8oLmhW3lOPjYXC/G7N DpWZNZxj/rbHRcvSuOoh14Qb1zcIH9S5DM7tGddjlUtFvvxvTuqP7pKfc55w TybdiuCcevInXZcHR/x8xDXhu+EXzYdgvYD91XdJ3tAikq8EfW2gv3UZ2VPy iOyzgL0vYX8W/NkB/45jXIB4fkY8viF/Z0dK4gTLby/gxPtqyv8E5JkhzskG +lj8buV1l35WnyIkY2y9dPacr/Mt7tOrh2atNse4PSrbjqn0K+LuW8ZUDy34 yAmbF4Un2n8Xvr2tvB3q8oAbNVL9Ztm58bzdt9vdBuZK8we3OJrNDFvIe+RJ td+7bySfciB47YcRK/nmm4uC11hO5K/gOwbzB7B+LfavgLw/tSR/GvSZQH+t KtlT8JzsM79M9mrmk/2yGAvgXyX8fQr/RyNv/YEP4y5L4irDj/HAmSDgbDfk /888yv/DOMduOMdbz8ieJsTv6mDjKfKBZVyUFo3ZHx9GVhbLZU1zfHhmb6FC 1pqVVpN3jDbjK8elqX3Qn8wXa+/WLbDewQ98+uF6Z8/1/x9vne3qd4y/OjPV u3rXDr46e/LKR3kX+GWDHlWf+b6bf4nvZMzXYv0I7C+HPE6b5G+GvpcbSX8V 7Bk8hOwrg70rEM/wavLHDv59hL8OqH93xOM34hMh6kMMn53Rh+JGEn43AldC gCudUR8aqI/FOGcznHMK7O0Pewd59OlU+nYZvxDj4YSG3/FvD/GnkiyuJ+74 zz3c3+BJqMl13jfbR1vdNJEvy7448N2EMj70T/+RtT9v8Fdut4ue9baSTw+9 Iyzbc5tPwHcI5suxnu1vhbzTkB8FfbOhfxpGdr5vYa8+7HeEP3GW5J8R/G2C /yOA80P+S99m/c/5PfXJd+iPd4cQXucBryfnEe68kSHccWug+nH2pPrpjDyw QR4chT+R8Gd69KCvO1tu8DMwrtcw37FV8ylvErOt48urlbxPeq/018Zv+G1/ HpvfGvKST9x163OXw2/5s22SPH6tfP3v2xvz3lhviv0bIM8I8mdiPAn9Z2GP E+zThr2GqP9udeTPWODq6kLytwP6oyz6lwx4zuyPkjyH8Qvrq8RDzicS/3BS pD54YDD1QX1VwvM2h1L+4nlxI+GSBnBJA/VVgfryEuXJfPjrAH/vb/4kV/C4 7t94xO+CnX5hLT8ow655WH4d79tyMK8++TnvWhe294ZQy/vhm81HYv097H+A cSPkM32/od8H9tyFfUNg7yzYbwycNSijfsX613rwgGDwAhfws16pkryQ8bdE b+J51oOJ3+2TsfzLL3YeIn5h8YP65Hpb6pOz8wnvfYD38cCtF8Ct/aL680Ee bUUeaSEehxEPjejBpQNSK3hVjFm+65IUb6Tx3T/plWtVF/I38K2OebY+UhT/ raK8ZngRDHuew74k2BsB+2PRv1zAA2Jbyd8Y8Ku2v4lvGU6m+Ox1lOTRjB+f UCQeHRlE/LnhKPG2RUeJt21eT/xjmw7xjw251Edj0EdZP2D94SpwjeEcq8/L qE835BnLux6Il4B4HfTt2/vS+gj+MEb2LY7vDuzfBHms/i9AH9OfBnueivrX VdjfAl4wGv69dSZ/U2PIf9UIisf6vRSf0i6S9w42cpspvs8Qx67SlI/tjpEc uRY6nz3Qo4B8PAM7WJ99ATvZ+SfBD4ZrLI6ayB9vxIHl2XXEiY2HRfFjeamG 9SyOLL+vQP526LsK/QdgzzPYx/KR8Skb5OMv8NSxv8lfy9Pk/8lmykcv3NPq 7SXvaSwvPZKo3hdNorwt6k140Bd53QJ8fIO83wF83Ie6GA28eYm68QYe3Udd zQNesborB55FoC5ZfasgPtsRHzlR3qmJ6pmNFZDH+hXrX/egfzvsYfyK4SOr 67PARzn45wh8HIB7Vnfgo6khxWf5Ncl7LcPJWe+o/zgkEI62alF/6oM+s/c2 9a/s8dRnjryj/tYPOP0IvJD1mRPoj+12Es6L+zTrN6xPsPgORF6x+nRBvbI8 ZvNeWM/61DrIY+Ms6GtGn7kAe57AvgrYqwb7I8A/fMPJv7d3yN+d8D8S/CUb fXjXe8l3ANa3j4EPyaKvjwZfkkffXwE+xYMXpIJvnQHvebVRkm9PAl9jPC4C 40yRfyxvWD9g9c9w7TzjPfhm/Yr1r7nYz3gBOy+m7xBGY9izEfap4H4QD95z Af5MgX974a8j/F+KeCxEfDJnSr6bMB5pAn5eAB4uC/5+EDw0BPze3oJ46vin xP+rwGNNcE94Ap77COMy2O8I+xmPe4i82IF6q0K9MR7O+kEK+gPrX6GivrsN +0sh7wzkr4I+XehfB3tOY8zEfWYD7L/ygvyRBQ9/C39z4b8N4vEd8fESvTOx e80T3K+zce+pw/16HO5FJ3Hf1MK96S3u1XK4VylhbIZ9U9XIvt449wCcexPq aSLqaQJw6hhw6grw/yLwfzH6KutnjF/tx3rGW8dAngz49SPUSTXqZCziFQT7 fuI++xljKfyZBP/84a8K/M9BPKIRn/BLku9y7J49HO9yariH78b7RiDu6bPx /rEN9/idGO9Bvyb0e+EdIGcpnWsN6mUr6kUF7xTWF4nvqgDfz9oQvgejb35D 31QDvxoInvAE84PRD05iv7o9yRsE+SOgzxn6JyPP9uIerQJ7y2G/E/wJwTgB /rrAfw/EQwHxqT8s+Y7J3n0a9tF7mhLehZTw3taEd7NvGKdCfjDk78a5TcS5 ZaIezqIeooAz+4AzDwoIv7fgnhCgQX1xFfpiMPiGBd4bQ8DjoqLpuxb82A88 wg999Rf6gQrk94S+qdCfAHtuwL4esNcT9i+FP8PhXyn8LcJ4G++wz/Cu2Bgo +e7L3iGT8M777DK9U3pitEA8bRHfSJzLJJxLNfK9APm+QIQj84DPK4HPB4ZT 31uA+1VPZeITSbOIT2SAp5nsJp62Bfy3BvxX+Q/NP+Jp/SLwkRS844fjnbgL 9ClC/yvYow/7TsLe27D/M94L7eDfS8RLQPzCEikeZhjVv0q+k4vfx++J3tH3 7ZOM+2zRu3yuCCc2i/D3kKivaYr+NxibJsnDZq2V5LfzZSTvDaucJO9jjtck 77lHRf+TBIjeZRaL3ruOi/6fOSP6H6dC9H9P63/5X6Gy29hN8uGXkgplbbLi 3kilGK/z3d+7ZNw1lXkvvv3sopd6Oihg4K27/dLsM2USzkRVpO2qlbqpFrox /deDn7939axJL1uh2tcgYlxG79lyq0fq2GYYzM6fGW/t9u+bzbP1bD+Tx+Qz fUw/s0dsX4LqOsttKydwlnrHdA4eWiBMbpx5smnOKq7/ZrcT3lFrhSflT/wP 3wgSlrU82Nz7eQK38kPssR4n07jb8jvW7hnuyz3MLmjMmZMuNPdMHZ6bckvY fp2++yrTfNgXWt/4k/bPukvy7DeRfH/oGw39X2CPOH4jMN+hybci57g99+uh qt+yEjdB+vHSzPmqdty78jOly2cncudcF0VryhULnp61Iz9b3hH04949G2dU yWVaaNqPkq7jHF0PPCh5/Z6zNqPvpnM0/2QrrZ/kQfvlIc/+JsmfD33KjaRf CfaIz9cG/ryqpPWfDmWN3SVny6lb1kTuV9nDhUyc+LBH1l3BtYPhDvObjVxy 2rimim1SfKDFqgeNpdL8vLLKsebT+vOGsu+nJtcO4zNK6VvanOYfZtD6pI60 /4o2yTPfQPJ9j5C+E7B3E+wR55+BJ8Xf8wn5Z72S9tcPGv+yS9hVoSh/oL9T x0bO61XLD9ku3bP0bB/+DPLtzzv26rTttO8y3mPPtjeL0p34xNZJDwbv3cSb 4tsa8waraH3ja9rvDHlm2iRfei3py75F+lcgH8T1cbSM8uVkGZ2HFOLXGfLG tAlsf1+hf9bWnNGCuuYCvjn51nuNtf787iCvT2U2x/n304SvPQde4E3rs9ud q43n8/F9AfPdUmj9e+xXh7y8QvgPffb3SH8X1IO4fnf8oPzWd6b8WSJF55Px kvxfAfnD5Jtj23cL5YWrjhfW77nIbznzaZr5oKv8HZeD4w9WnuLHv5LqP+Jq IH8C39cxfwHreez/dYPkLUR8l0PfNTfSb4d6FeOLRgPVo6Ur5btbKuWTHc73 K+KXAn1Kuq7RubVx/NVfP0s1xqRnjR5XP2Goa36WTdOa6sWzC7I+jaXvzZhX w/oE7O+B+KqtJvnn00mfsQvp7w88EePfji/b/+JHXhLVp9QSyv/vyK99OL9D iI8T9J9Uban5knsna+nTMMMfQ1yzqtr3ibH4kcCfeE7fjzA/FOtjsN8R8tZC vtQi0jf+Cumf84TsEeNzXSHhncoSwpN7xVSvc1l9IN+ScJ4DEL8W2FO372mL Sd0NXmnFgsgGnQz+Hr4nPqb5BsTX1JX2l0Hedsivu0v6SpeR/pcFZI+4f5xU Inx+50P4l9aN8GXIL6pfc9RHYD3l326c72PErwfsM3rQ7nnAwJN803L6VpKi +Visz3hD+xdB3m3gQ1/g2Q530p+pSPaI+9vLR2T/MkvyJwjxPAx/i+H/H8RT C/E0fETxeoX4KcLeCnz/RLx/I54HsL8K8pwgvw/w1hbxfJ4vGU92/mHXKR/0 Myk/QpAvn5A/1sinE8ivXcg3X+Sf0zOypxXxXV9N39GYr22l9Xew3wPyGP7e h77cBNJv9kgyP1k9HXlD9WWyjuotKIXqz8+e6rEJ9f4T9dqiQ/WbCHt1EF8X nO9CfK/CfDzWMzz7AHm9gSen0d+sPUi/6kfJemf4dAD4ucWF8KupPeEZ6z/P gXejgX83oS8T8QnHeW54S/k3HvVyC/NsvR72awOPn0L+V+DneeCnuwg/Gd7r lxL+dwE/yEb/PY1+ZPdn39/+cRnyPyIeK3F+Wcg3Y9THdXxbYP4x1kthfxv0 I7MCkn99POmbjH7kVybZj1j/HOpO/dS8kPrr+dXgH6Oo/yrB3mnoHzuAz9dY /qIerqJ+Z+M7HvNfcL5uNbS/9g7JqxhM8vPmkr6Ip6Rf1UuyvzM+chn8ZBr4 0uijxF987Wh/DuK7HXxHDflUs4Dy3xj4ZydH+NIT30NRHxXXaH0h8qkj5Ckh Hs1nSd886O/UJMmXGL9r0CW+9/sb8b9g8CunPPJvKPIh353yRx/9Vf8a1acV +OdxF8K/3egX3VNo/pM7rb/hSPvDS0nep3KS7/qI9L0B/4wQ8U/Gl3PAnxmf DkB8jZAPQcjfSvDx6++oHsPPEn6k3yG8k5clfI69Td+XHtK8GvjDj2ban1pM 8ow8SL4X4mcI/b9FfP5/5X5UZVOhczDQKnl1iZnrlOrRnDVG9ntbZ63V+p9m CD+8ZtyqCDQWFhm3SPV4HpNyU6VH1JoZVty6jM85XVet5DZ9PxN8KOL6tRbL g3c2LnUUbv2aMm6c1RphwizzUw6VCakJo1OmHf1hym2sODkpvecOQW96ldvr oz5pnw+YfVHuEMXtGqJovMPqHNf4aaDF6sBB6fzyVycqO14TjFy/GHVUPcWN fXHK9qBZfHpprv+nESV7uPazfbTNSw4Ib9JCLnStl8uo827aKcOd5qzV0mby mqHCuS/dHljdNclQUhNcL78OFVLH2E3+1ilU0LgTk/m9r3PG6LH0e64CrWe/ B3qRnAUzST6T0+Y66T2yiexherkVZKfdMLKf2ekEv6wfkL/Mr9GDKA6tLRQf FofbiJs54snidhhxTkH8WZzVcS4BOC92LkGi82Mjmy+HnK9OtP/m/pXzJi1a yVVjLJp18UneZ1dBe+Pxg16azkLV3AHFj39t5pZe6bWs/1BrLit6gI9Cl72c TuXg8M57znJhiadlKvtlC61ztDz4AzcE9SKpLv2/vuA+yo3NfuWUL7x331MZ ovaIM3tqrdnf+TJnl7jcxdH+Cif/IUmnW0UJp9y1umH6zfucI2f6YeuJe9yy bvR9u4HmDU7T+vDHtH++J8lLkSf5Y4pJ39i5pN8D9ox4SPbZXyB7Z8SS/VVz yB/mnyz8vQT/IzCqIr5XRHnP4u+LczqK87GAvBeQV9KoPbemwZ3L+kajzSHd Lcfj/DhZ1bFZGe1DufapS+febkkXhikeD3O6mS+0Zl6/uN7iHdfzXrhmUV0V N8b2xvSVg74KOgq5G2L933CKM13bFGa/5MwdFbY83XKbi7QILBrRX4Of5Bc7 7OK5Wq7BaXpYke5wXllGZm+TXiM3DN85O2l+ONYnudH+oVNIXlUvkt9+Nekz e0D662BPRi+yb34G2Ws8gOw/e5j8SftK/r3AKAP/1REPe8THQYQTLL9dgBPK yyn/FRLpnAbPp3NSRrysEb8Z6m80ehzLFsrVaPwtvWfC0WVvOOWM+rkqRXVc gf7b5SN7dMkyKo3tfK+yVXDX7d/0xXcIL326W1JdUqVQMEZ+18V2C/gO/eY+ SQocz097uzJxgpwdP6xZ7uGiY7P5tVcyj69+6sI/S06d2vzLhF+JbxPMy2C9 EfZ/gDyndJJvpEf6PpSRfunJZM/2dLJPryvZ264/2e+jQeMExNOkP/nby5j8 t0fepgMf+J+SuMrwwwY4EzKK8OU48r/nCcr/qTjH68i7EtjzHfGzn2fta92n e9ZhjOE/PMNGeOjzOu0qV33sNpqP3zakT68lTvya41c/Z8vZ8oOi16T3qgjl iyO+nJkevZ0fbqg6fvaZ0/zpyBEechmhfLja2CFyIfH8ySnP5pUPPsQH4zsG 89pYn4f94yDvEOQfhb4U6JduIXuOwb6182ncgngm4/zD08m/GtTV0fPkvy3w SnkgxcdU1IcYPq8cTDheHkb4LQtckwauDC2j+liG+vAvoXNmedcW9l5C/Doq xXSZ1sud74bR6minAU3tYniHc9LJS95F8b3kf+/4OeUqryC1N9Cx6DK/Ikz5 +Pr7l/m1Fnr7ZBWT+FaNsp5ftML5uR2fy2T1TuIT8L0O87ZYL439IyBvC+Sv gL7fvUn/cNiRAPvmw96HHNl/FP7ICuRfXTn563OF/L+JeHQPp/gUi/o263/K TtQnzyyj/tjajfDatJDwuliecKfZhnCnzRGqn2Adqp/dyAOWd9bwZyX8qW17 tk7n/VX+FUblA/bhodt3ZelOzdM7V3WQt6uovNrh8a2sjtZls9bNvpa1uStX cndzQVa8VvHOTt1vZO3Fd7IVzTtjvQ72L4a8Bsj/gHEp9LvAnkTY5wV7I4A3 ky6TP3NXkX9TepK/7uiPit0pHhctKT6OzpI8h/ELg6XEQ6KriH8Uvac+aOxB fdDfjPD8yCzCcw/g0n3gUjKrT9RXU3vKk1HIEzf4qxBO/uZ4TlyrvDU/6zlG BbnHzzN2pGW9qY5VGLwjN+vh9ljp2ZpxfKNJw/yeIWlZj/Cdj/l2WF+C/fcx xiCeW6CP5Wk35K067CuFvTdg/x34c9aQ/NNcQf7KwX/9LxSPEMQn21KSFzL+ ZqpFPM9gJ/G7iCbiF84BxC8eb6c+aYw+OeQH4X1JHeF9JHBrJHDLE/U3H/UX izyKQh6lIx59EQ/71ttFAVICvwLjzQH7M/Z4Crx+mtJLDcUcPhPf1pg3wfhD lvbfgrw1TD70BUE/w4NJsG8P7P0B+93Rv5rgX6MP+WsWSP7PbaR4SO2l+OgP k+TRjB9zc4lHG2gQf540jXhbt07E24ZKEf94Bf4hm0J9dC76qBP6QRz6wWbg 2i7g2kXUZxLq8x3y7DzyjEe8WPx0nb2MVdfH8iMx9sP4CPNzsD4c+ysgzx3y c6FvTH/gKuw5B/vCYe862F8GXtDDmfyr70L+BkiT/694ikcq7h3WkyXvHWxU 5Si+vu1o3cY/FP+w38//yin0ovMZ4EJ6hiIfTWDHIZyvADt3s36AOOYgP87C z+vIn+OIgxXy6zbiVIhRBfErwjeLsw3Wszjehjw/yL8DfddF/SkC9h2BvVth vzHy8RDyZDHq73QXimP8V4qHujrFx3Sk5D2N5eWStVTvn3ZT3jr9Jjyw96e8 jjYkvDiJvM8DnrQFj8sB3mihboYAj3jUVRjw6hDqLhN4Nh113RbjZsSHxXcc 8i4a3xaY74r1bHwBeWshPxT61kN/T9gzAfYVwt4/qOsU+PMC/mVbkb+HUNfD P1M8jqOutcwl77UMJ4PWU/9p037nXxyN7EL96YML4ex2OepfHRcTDpf6UH/z Bk73Rf/TA457oD/2Bs6/R/+sQB9YgvEd/PeH/3nIqxPIq9+o1234bsL8Fqwv w/7BkDcWYzP0DYP+7bBnJOxjPPYI7FePIX/qp5F/r9Cv83F/NUS/jr5FfcbY VfIdgPXt++CPJujrA8GXVoH3HAR/7ABe0BZ8ayx4w4+2xMcegVdMBl9jPM5O xH804V9X5M145E086vEO6rEEOJeG72zM9xXluQrk1UH+AuhbhFEF9lyCfWrg jw3gbcPukj9SuL/+Bn/sBt7zhPFpvO+8GSL5bsJ45CLcZ46Bh+vjPsODh9vh PqMIHj4b9xkz3LdCcE+QB8+NwNgEHpwA+xmPG4+86IN6G4968wCOhQDHNqI/ MFzbg/nRWK+H/WqQtxXyc6GvD+LnD3tmYoyHvS24RxyAPzPg33DcZ2bA/+uI xxXEx6ZC8p2J3Wte4L64aDjdewIv0n1S/zTdiyLU6b5Zh3thKe7Xul3oXtUd 43TYNxb2rca5P0bemqKe/FFPKcCpNOBUGPDfBvh/EH3VGN/hmD+H9ZnYfxry FkH+YOSZHepEHvaMgH2tuM8qdqaxRZX8+ZNM/oWqkL9bcS/WTqF4nNeh+Gz4 Lfkux+7ZB/B+MRPvFE5431iH97EGvPMkHaR7fB7GOsTTLY30j8a5euJc1fFO 4I56sT5GOJRjRDg0UZnw/Q3w/Sb6Zm/0zRvgI/L4rsZ8OdZ/Qn+QAq4ZHSD5 83DvMi8m/eqwRxb2pSEf9sF+IZT8WYHxMN63jOaR/9cRj4krKD5nRe+Y7N3H D+9pS/AuFIT3thF4NxqPUQvxjMM7iKUGnducM3RuLqj/0aiHoPuEM1eAMy9w v2xxJfzOnot3Ly/qi97gG1vkiG8sxbvZD1n6Hr2D5s/60HpDU9pvgnuHA/rD tgLSl3eX9CsmkD0hCmSfXAzZa6VG9ueYkD8KzeRfLfwtxSgfRPGYrErxkfWW fPdl75Ab8c7bgndcKbxXnkU8gxDfWTgXaeTtl3jK97ohlO8WwJF64EitMeHz PLxrl8hS3/v0nPpektTKv3wiMIj4xCTwtNHjiKcN1iP+2zyZvnUxr4D16Y3E R0bfIXl1eBeYgHeCkNmkf2Mo2bOkguxzw/8H/pfJ/u3Is+GO5N83+FsF/+cg HgsxeoneycXv45xo3l/03m4symfnn5I4cV30zr9I9H/AZydJvvDFVpKHaWtJ 8tu+GpL3hrHqkvcxKSvJe+5c0fvBBy3Jd5lP9yTfuw60Sr4j/hK9z9aK3r0P /5f/FQZJ7VZbERanfXr5/UHuVe0mrO25PjX08ZiJE8cZdJ1hM2nSgo9LKpJ7 9tExKj35NtTmvo5qzaiTycHrdK/OMewVYFytO3LSuH0d4sboqTyd9F1d30Zv osOnvOtWLv++2Txbz/YzeUw+08f0M3vE9v1MXee3+asUN7zgftC+jl0Ei/ZP vDtZTRCidfWat7VfwwU2LdN/ULBNqH1rFqnVsk/Y0X11lO2Qg9yzrPtGx7ae 4Ew26AVPGu0gzLdbeN/D8qDQfT1998ym+Qh5Wp/whvYbNpK8Lnok/zj0yeST /k+wRxy/QMz/Lrqzd8n0YYLs/LRe88NtuYh2Qzbpj9kruOnVb1sac4Tza352 qkd2Emff4arLUu/Lwny9DUnFAUnCryuaK7Pe3OUmWls8vj32KWd7lb6X6NP8 0i60fuF32j9El+S1aU/yR0Lfk2LS7wV7xOerD39ezKP1Xoo3rpgO2yf0Lzy3 xm7QeU7o8n2bamuscL5hpdaeUU+EwE7G8rv17nPJhZXNhYXt+MQOv+tl38jz 4X1fvFo8UInfi+8TmLfvQusd62l/T2mSdwDy86FvDeztKkX2iPMvHed7DPFb gP0RI562db+fKcS29g4rt8kWlmyy3Gj94Bdne7hvlf2svvwFvV7j9kyeyd+d GynX/fFK3k7J7MQXo7X8PXyfx/yRQ7R+gBvtH/+H5E0ZSfJ3Ql8z9LfCHnF9 9Ea+PNCh87CAv/shb14t1zgq4zM3+36bRcrG37jT/irOk6M28lO7Dv+cWx3O F9989+iEynlew9V5xGjNy/++52C+AuufPKb9/2lhf+V5/ib5LdBnjnzYBXvE 9WuD+hiC/PuI83kF/789IfmZ+TUZdubevNk+7w1RB//Di5u/ajwalc+/PuwX dqNjBd+zz4PE3k+r/n33x/wSrE/HfvOHJC8A8uWRT92gv7GO7BHji5Uc1ePU 9pTvWzpSPrHzzUQ8ZkFfDymT0oHx5bzam2Muamtf8ufc3l8ZO6+Ozwt9qHC6 qY4/j28NzCtivRX2l0BeT8hvkCZ9QzuRfuseZI8Y/46lEX6kaFN9xhZQ/tcg v6bj/Fj8VKH/q1MOt+pZHb/3wru49qU1/Po1Molbpj3j9+ObzTN/VLF/BuQd h/xg1Nto4EcU8E6Mz9W3Ce9s0whPwqWoXj+hHu4g36pxnmcRr0DYM9vwel5B aT4/ZIr3iMXnU3hjfO/DPItvLfYXQt59Vn/Ah71JpL9oB9kj7h+rXAmftWwJ /3b0IXwJR/32R310R/6x812H+GnBvqTxIzt4b9j979sR80VY3wv7+0KeA+TP BJ79BP66riV7xP2t+02yf0Eq+VOMeH6Gv3fh/0vE4xTiw8571v8jnnFY/1IU z0LI34B4uiGevrsk48nO3zed8mEo8vMl8vMx8mcm8kkd+aWOfPuA/NsDe9Yi fsy+z5hn61n9G0HeVcifi/yU1yH9eZmS+cnqaaEs1dfEtlRvth2o/hZEUD0m oT4XoV5lUb+snli+5uN8WbxZ/TB8MMf+RMgzQr3PRn8bg358q7tkvTN8igV+ mgC/VgDPsoBvAZWEdynAPwsRftbgPOVF+MnmGd6mYX934CfDZx3omwT9W95K 4ifD+0/fCP9z0Y/UO1F/6NJG6W+/6FJH/cMW8i8hHsY4vzzkWx/Uxy18T8F8 KjuPKtq/Hv0oD/3IG/1oEvrRbFE/Yv2zO/iVOvhLMPqtKfqvO+T1Rn/fjvPa Lurva1G/D/B9GvNTsP4h4ncB/fgi+MMo6DuM/n5C1N8ZH3EHXzIAX4kDf/HE /k3wdzfORx/94zzy/zDq1Rz4YopvG8yfw3ot7F+D8xoL+SbQVw2+Jt9eki8x frcUfG9/CfG/abBXCvENw3nMQv7s70j5PhD8sgr8Mx349wH40laX5n3QDzWw /x7yKxPxewT7zoP/ji2Q5J+ML98Hf3bKo/kv8Ece+ZCFfDmC/FZE/1UCX5dy ILwbtobw2dCPvgsEmp+N9SbYX4R6OIfzjWxH+v7AvtFpknz+f+V+pPFb29fZ xXL8vqC5RmpPO3JhGNnvCy7E3zSeqyCUqsW6tDftK/yco5o2USV6QtXkjLgB 4ztzg7tMiVRe+DnT3m+6ZV5e2sQIk5q82FuzuJwzkQF12yy43x2Vp+dbX5q0 qHf8hjEtmwTLkMuFVT89hLb+hW0WHtmq03vciTFPzuzjvJef9dfp6CEs/lTu WbZIUzcosK2C09JtXOPijMJDznu5E1eWRxvuv6Cr8Y2vGGh9VLBu+7V3icIu 7kvrwSXXbsvoJc/ccLTW3oGb0NdH6nl/D+Fkx7vPtpjM09t3s91Vh+VRXPii V4oD+u0SIn4IisWVG/V08PsbrGe//1hAcs5CPpOT2Eh6Pywhe5jeuXvITutl ZD+zM3ks+XUrmPxlfkUjDp5nKT4sDkMXUNw+daN4srit0aM4hyD+LM6aOJeL OC92LidF58dGNn8Ccoyw/5Ls85oxCj25QXI0Pnz/IW/DAENOvffi6e0LZnN3 enEJyaruwiDbaI/a1M3C5Iv2UvMnR3KjTHaOCedDuf6fx72af/acsPDy92v5 Kse5lJXjlnW6dlG4vOhbn07qZ4Wd4wvjtu25w1mtmcn1yTonuEa2z5B6dIsz K377M3fbOW6py53OjzNyuUvPnbKO6qZw6/FdgvnNEbR+NfYbTCB5oWYkv96K 9G28SPovfiJ7rs0n+47A3kzYr6FI/lyCf8c/kL953cj/axiHIz7HRHnP4q/Y mc4pDHXQBfKuI37G7SvKW/a7C+sxqlmuubt7axTX9MR5j/mwKO6xxVSbAvNr gtRh25eOL2KFm5tXnhtek8Z9/9CeG7PqljBI75drqflT7sRInbB8g9ucdNs1 13sF3+A61hwzs3r2nJsXunmepUIn3vB2xbkpW15wcSXLf9jk9OGzzxdHffd6 ycXj+88tml+P9XOwv/an3V95V0aT/IW6pE8K+qs9yZ7Wg2Tf4KVkr/9Tst8H /lyHf+UYDyOePZUoHluQv+96SOIEy++3wAkn4MYCnNMp5J0M9ClD37ENRWbN fdOEdRhDlU4YTO9UzK2vaf+8wjSd67pHVSbsXIawYYLXy++a9dygXns8QmSu cCNOzPt19XUVJyM1cOIBm8n8kl4n7jy0U+SDdfNVTPeZ808338vfMns8Py9v vvJZ69V81xyPMwpdeN4Y37WY34P1i7FfD/LCj5D8ef1Jn9940v/Rn+zxqib7 lPqQvd9gfx3G/fDPHf6ORJ5mIB5rgQ+rzkriKsMPH+DMdODLHuT/IOT/ZZzj W+SdIezZgPgV9zB8xYdlCs19aBzgYRubmvtC0Npx3jmxQjprcb3Dt4U+y/nH /Ua1zE6byc8Y13dzzzEBfFBam/AGRRe+avTLysevovllqb1yNUwD+Ac+ZqbW V+J55xavQqPY/fxDfC/H/GOsP4j9xpCnqUzybaCv0Zf0L4c9drAzrCeNqoin 9AvyxwB5OvQQ+XsA/uchHhcQnwfBkn2I4bMP+tBM4HfLJcKVxcCVo6iP06iP jsgzK5zz8O1kr7Qb2dvb9HIXlUc2/FiMh7ZPjTzmdoT/ZZ4TbegYzr+e6/og S1fgJ/9oP/r6uyv8/eLLT5wPl/EvuMDY+T9y+Oie915ubV/FNx/8PiXA/w5/ DN/VmH+A9frY/wbymPwo6BsE/SMxLvAk+xbA3k67yf4/yNtBwKOT8LcQ/lcg HjcRn2eWkn2b9b/ARdQnJ+yn/hi7kPB6DfpD+gjCnSjgzqwYqh9ZDaqf9siD eciDr/DnCPzxH9xGrbIxh9+J0XWF95/rMk95jZjHyavKKnnFK1/uKd6s5XMq tb9eeFbDD9ayytT4XMd/uhG/bUvjK14L32y+N9az/W6QtwvyAzCegv4/sMca 9inB3gRlsr/tMfKnDXB8xyjydyT837yY4mELnnPeTJLnMH4x5OeXvzzE8Cvx jycrqQ++1aY+qPyc8DysHfUHFUXCpQ/tCZf2ieprIvKkDnmiDn8d4e+bh3Y2 oXp1fC1G6xdXAvd41vKm8+JWtp/5n3vxTY2Ng9pV81GXL53/s66WP41vNm+F 9Wx/HUYWT6avHvp1YY8R7DsAewcCVycBZw1+U7/6/oL8/QBeMQK84CR44fk2 kryQ8TeVMcTzfjsRv3v0kPiFziHiF0tvUp98hz5pvIXwfiPDe+AWw7mnqD9W rzeQR72QRyweKxCPLd29Jx9yfsh7YLxrsfzt6WfXebctt7q6xRXzZfjejPmt GMXxVxDlNdPP8KBShMNhsL8O/csc/vmDFxSDX/UupXjsmU/xaaMmyaMZP5Za STxas4D4c9pr4m1qG4m3jTlD/GPyXeIffuijOuijTugHFegHX4Brx4FrrD4H oj6PIs9Y3rkjXiWIl59lY99eA47/G/0xlmLeA+tZnh6HPIYHX6BPjLP3YJ8j 7GW8QBr+1IBftQPfuu1E/ku9oHjo36L4qC6RvHewUX0kxdcnn9YVVFD8JyGO D5CPLI7jkY8c7GDnWwU7Wb84AT9YPg6CnwuQPycRB5ZnxYgTG3eK4sfy0hPr 2TkshLwhkH8T+tg51rD6gH2WsJfFsQz5mIY4XkQ+XnIm/z/dpXjU456WrS55 T2N5qQl8NLajvA2xITyYc5jyegLw8Q7yvgl4sgN1wfDmEepGD3j0EHWlCrxi dfcaeGaJulyOURwfV1HesXmGBwwnGT6yftUf+iqgn4M9zL4w2LsP9u+BPxvh 33jg40DUddhqikfYMoqPzJ8vEvdahpOFC6n/vPlMOJpuSv3JH33m2XDqX14d qc94nqL+9h595gl44QLg+A/0x/fAedavXdAHnDG+EvlvKsqrI6hXLVEe9xKd B+v/TP5u6GP8qp0F2bMQ9r2FvT9gfyDuBz64Zzng3rUFfeYC7rOj0GcUzSTf AVjfvgD++BJ9fQruxdXo+0/Ap9qBF1iAP67XJN5gAz5mCV4xGHztGHgH4z+M l9TCP8Zb7iFvWH9geMBw7pgIH9h6NexnvIDxHaYvAuMo2MN4zw3Ym4J7lgb8 6Qr/iuDvXfivhXi4ghcuWi75bsJ4ZBj4+WrwTH/w9xXgocdxnxkEHh71nPi/ L3i4ghzdD26C59bj/jAO9lvB/t/IU5a3rN4qUG8MV8uBY03oDwzXGM49xHrG w6dDHuPh7P6kCf1f3cme97DLU57svQj7j+J+Fgv/5HCf2QP/ryAe2//LOxO7 16zAfdEf955o3Cc9cS9ag/tmF9ybKnEffYt74R+MdrDvM+w7hXNvUaJzf4d6 akU9HQZO7QdOLQH+zwT+r0NfZf3MFPNbsX4/9suBB/6CfDM10rcJ+h/5kT2N 3XEvhL3HMO6CP7W49/aDv+wdaw7iMRXxqT0j+S7H7tkOMvR+UYV3Cg+890jj nn4c7x+muMcvwZgK/e0R39M41wycK3unsEW9RBwnHIoC350JfJcBvtegb55F 39QCHynHtwx4gj3Wb8Z+U8h7hnuJKvT1hf6V7L0HdVSBeB2G/R3gjxbG5fA3 A+80bRAPd8SnopPkOyZ79wnFe5q/Pr0LSeH90Q3vRusxnof8XoivKc5tD85t MOqhDPVQA5xRtSGc0cV9qwz4bYt3rwV4f5yId7M5eG9UBo8zBP9YCT4yF310 I/pqI+Qthvwm4FoC9BvDnrPAJ33Yqwn7YxGvpfDvNd4LyzEq4h1Wl6P4vBK9 +7J3yL1452XvlAMwBuD9cine3a7hXNj7ciTy/Qjy/T5w5DZwZALw+Q/6lzHu qenoezm4b3U0Jj6xEO+0a8DTjKuJ//7MpW9T3CvcwT887Wj/Z8hbDPlz0Q+a 8b6gD3u2wL5psHcJ7B+GPHusSP49Q7ycEL9diMdmjLmid3Lx+/ge0fwGUdwn yEnms7Ho/f6nCH/7ifpajIgvcKL/Fx6I/odYuljy3hClLnkfE8Dj/v3/IXo/ GCD6P8VD9N7VKvp/JqSj5Ptsnejd+/J/+V9hbpDjtuNH4pIGvHKb2fd5u5Sg 2Wufvq0ec03PVHNU2NpJqXJepgoT+/VJu3Mn93Kc/f00szCnCY2H16X7xL4q tltQnR659s7g+QljMl7n/ml7aIpNhvr0+1v1V7v8+2bzbD3bz+Qx+Uwf08/s Edu3bG/1iST3Mdw8/ZzupZNMhFh5z5nTFq7mDFy6hqq1OAvnfepLpsV5Crvb pMXFfo7m9P0qHUYYHeVMcuQXzDPZJwTGHbOJ+R0t5O3ONFque054EkbfBgdo 3jaA1neWov3GHiQvwY3kh/UkfbMnk379fWSPOH4LYZ/q3PjrS087cK7KYf6d w3wEB9Nrznva7ea4ptUtRqoRnPSlSSN7rf4/1Hn5O5ZR17ZmqaQUpQENiIoM Zeq6lIomyZwkCmkylKRSSZo0KM2TEKEkIZG6KBoRqYRUUmgUKmPpe49nnfs5 jvv+vu8PeH/ax3Xvvdc619prnWvtfZcIuZMMlnjmFAk+2vus7zpUcsoPry1K CP7C9U3VDdcb9JXbm0ffkybS/Gs9Wn/zGu3v/EbyZjmQ/M8jSZ/zAtLvBLzi 55sG/2UB38hdKuczfcO4XxddrVPHnBOGNPUUpKY/FvRznkx33dDAbZO1amqO 78lbZtZtu/dvEO9qFrFggKoa38tw0i/lei2+1Jy+T2F+2yBar3uP9td9J3mD LpP89t2kb4gi6Y+Hf8Xjz8KX/H/JkuzbG0H7q85kN1RkxXMXjAPL+6nXc071 lUOXq/fO3hz3TtL+sQ4vn5+fnqbqyu/oMffHwoPr+SNGJUbX6wJ4R3xfeULz iZdovXYT7e+jT/Jux5F8iVjS52NP+tUQD+L50RFA8eLyg84j8wfZmzSZ5HmV SOT4bx6RbaNYPGF+ggN/Lr1sU+vcPbzh9jGJ1bcv8A1r51mtk0rgy/LOvxq6 JJH/iG9tzGdg/Tvs1ygmeUf0SH4z/PuxjvT7+xEe8fwVulJ8z0L8Wd2l8znx jewvgPyoRQWJzx6F88dCWgyWVCbySg7VL/uOvM7HB41fMmv0BT65WCfpWrdt /Jvt9N0f8+5Yvw77HSFPugHng3jQR/wW9yA84vzitJXyUV+T4v3YQIqn7jhf f/hjNfQdjRgflykXx0/pX9J2USkz+1LItAfXZj/M/mj6bOp+mUfZqfjui/k7 WB+J/QmQdwzyz0Jff+SnSQDhEec/mRTiDyVNys+6DIr/CsTXaJyfBPyTI036 gzO1K/S+388eJL1e/szjvdkah3fu/jHqCv+7P33vx/wvrB+E/XqQVwr5x7NI nwD9EisJjzg/j9lOfPcU/KIwm/J1GfLhO+ItH+dZDn+VyBAer+Ojczf+zuHv Ro770rkri3fDtxXw52O9CeKjFfKMIb8J/PBAAL/tIzzi9aNsE/HzkzjiPyvw y0rk70/kx53nFH+NON+n8N8n4Nu3dNmbgBOx/Fd8W2FecQat71pC+wsgzxvy 0wxIn9x10q92iPCI17fiXYTfJZfs0YZ9LrCX2V8Lf1bAP+v74XzhvxfAx75P D6D5Sqxvgj8bIe8Q5PcF/9Y/Jv0NCaL+/G985lI81OpSfFSAn/XBj+qIJ3nE lw7y4zjir7Yv4fkE/1lL0fdVzN9BfEpjvxTkfUN8OkPfPB3S3xAnGp8sn84d ovxK16d8m4F6Uwp+jkF+5iBf65G/9dCfDn81Ix5K8P0X8x+wnvFZIeSFQf7n waTvOPRLHhPNd8ZPTd2Ir/LAn03gT90fxG/XwHcHwH9B0NcP/pHFefZA/Lnj u8Ge5ndi/WbsT4S8U40k3xD8mQT+fNNdlD8Z32/ehHpUT/WgtJ7qw9kpVC9s UD9WQ34s/CGP85P0onh7hfz4hPgbhvlMrL+B/SZFJG+CAckPRj0q/U76ywNE 6xGrn20+VE/VUd8LzlG9lThC9dcN9X0R6sdy8HMK4msJ8sEJ+bsA368xn4Pz /Yn93WB/ZTjJd4gifacWkv5qH9H6zvqRveiXYtEvGYZQ/yITSfsvNpK9V9Av +SB+9W9R/O8G3+4Dn+XgWwP8rYP4G4Dzjf5K8sbEkPzwPaRPFf3d84Gi/RLr 7xzQf9qi/9QA3jz4162FzqMf4kdam+LddgLlpyX6TaNE4r8c8Fs8+k+VKbQ+ MJn2N+B8u8N/5tDnBP1jjEX7T9YvG6Gft8e8PeyZi36v2w6Kl4tdKL4D0c+7 BKHehqCfDyR+DtlG34e3oZ9H/i5Af5GzgeTp475wA/p2s349VLSf/99yPwoe uvzHr81ONzbNfXvl/Fg1LhIj+70l5tf8K5UzhPsT6pefz5gtZOStmy01KjLd f2aMXuoiV+62zOzsgwHLuTcT3j/ZXpx504PzaQ674C9I/3N1e6O3Thhw505s 1cqkDOXkRVva6rdyY1Wbx9U8XyaESprfOx69JdNkseyVX6NWcL2Nkn49bI7m bhYsU65zHHNL1b70iMKbTOHgy3GKJdMiOacPdvyXYwm3DlWU9ZnW/aggIVWx epPzHqH4ov4/66K+WYrrzsQWZyZyM86Ner7H9LQw0F3N+eAii6yKiY5Ti47H cE4Wm/51/3ZG0J2osUyy2ivLXJV+/xVK69nvu71JTnJH+X/kMzle5aQ3tZTw ML2LHAjnM2PCz3BKmJFduopkL7PLMJX8ECCx7D/+YX6Q58lvawaQP5nfxswi P4/RJP8zPz+IpXPpO5/Oi51L8zzR82Mjm7+Ic/yGczWap7uxW9EybgbGo2Pf WvdeuUVQfLBNPtYtQDjl4ng6/VkYFzJrxOIlhTu4+PID0hVOxwS5m5cr2/+d 5vpwCbOe3c4RTBU08us0bgmhl2t2zO9Rxg3+NTPpRkyG8PTCt5Cnsi+4OUuW m7f9Tucev/Kfbmz2iMte8c/iQtcn3DEP8wF1Lys5qy2e0//pF3PnvOj7qjPN O3+g9W42tF+IJHluzST/3BXSZz6C9F82Jjw90whfSCXh1TIn/IrLyJ4K2Cej SvbKzSf7FTA+g3+HaIrGPfN/JOJ+HfJgDOTFw395K5wnSv87yB3HGHbmoN+S tWeF3SGdkYsd9wuVr/8nmN6fF3r73s2R25QjVG00M3p/qJpzHzdIv8mmipvR PKXDem2DUBqR8Nr0cC3Xdt360p05XfntX1dVvOv3gntxVHmqes1Yvq1LfcZf 82ZuyvygPxopWvyqe2GPT7Z35Rvm0bdmd5pfj/U/Gmn/wmSS9yiS5J9uIX0l 6qT/lj/hsfImfFovCe+2fYT/61myp8mT7LNeSaMC/Mn8q4b4XTZAlCdYfC/r JJ5wBW9EzqRzKkDctQeRvi3wn7mx941XneGCki6Ne38OrUo+WcatUdx1T1f5 I1eywetkunyP7BFZfOOpgX8En32/Fa900eZt8/tLj9/ZzKnabO3z9a0Nv+eI o8XOwUY8X/1qcsKpVXxpspzvUU1LXk7G5aqCpj/v1etwdUy6DT8R32GY18b6 WdgvCXldH5L8NOhTEkj/PT/C820E4dvXRHiLNQm//hQaA+DP4j1k7ybEaYAZ +WMg+EEFvMH8x/gjYBTxzI1rxC9uiP9ZyNdDOMdB1XSO5iMJjwPwmL7afFUq Syp7bjmNL7+dlfDcaMpnPPGcmxanz2v2mVqzfNF6/qhD1rZWd09+2K4DnkmL j/Jf7ti7hg0O4T1e5H0M7h7LpzsXxIwwP8qXjkvYddf4f/rQxZVfpRJP8o/x nYl5R6zvI9D+bpD3DPIVoO9EPumPBZ47wCmLUQ34u8Ke5Eqy74YX2cvyf2gq +cMwhfzzYZhoHWL8/B51SMKK+Ft7GPFKCnjFFfm5FPkahTiTwTkfhb8agbf3 tOpXJbc38XoYP5j8LtLYG8XvXjv9a83E8/y1IbZZdQop/LsGN9uUwiR+9/TS B3nzr/AvPEI79xxO4dcXVtxs+7WX95vxr/KucQpfju88zJ/G+nLsz4E8T8iv h75vJqTfEDhsgU8B/t0L/PPukD1vkf+jGB8Ykf0XwLNKs1C3p4rWbVb/er+g OmmNOt7aSHx9GfXh13nincbfxDt2hZQ/CsifW4iDoYiDdbCnBvakd/VePm1N Cp+F8Y3jnM0lmYezw9IeWcmoH+S3G80ydTPNy45vWzP/9e707E0NAcMPzn6U fcXGep6eTE52EL6TMb8F602x3x/yUiBfwPgJ+oOAZxzwZQBvCPCfKyB7UsHj vuBxNdSrPvDHFvQPO1+I9jmsv9j7j/qQzaXUf5Q6Uh3UjaA6eOs78bkt6sNB 8NJ7a+KlDuRnRwjl12PESRbiZPgNsrcA9g46t/l47x0Ps/tg/BW34evRuoxs SbWVerJcbvb4A+OH2yjF8pr9V97Xe5+RXbyfvj+q0vxPrFfCfkWMIZD/M5X0 3YX+auDpgfwfCD4YBl59eJjsGZBK9k1tIHtL0Vc4LyB/nCgk/8Q0lIv0hax/ kzxIfZ7MBurvPjlSf6H0ifqLyV2pTuagTp4D308C32eDt6zAWw+Rf9HIv1TE 0UXE0XP4Y1g8+WNRos6Qbpdv8U4YVXVnbhxmLvDX7vQfHFqfw6vh2wvzSzGq YH8F5G2FfKYvCfqLgGcB8DG8a4F/J+xpCif73HqRvWO+k/22i8kf+5ej/90s 2kez/niQOvXR68dQ//xlI/VteejbZt6n/uMF+g971FFV1NEdYvXgOHgtCLx2 E/m5B/k5HXH2FXF2C/5ShL9s99quqXO5ys/FuByjHOZzsP4t9i+DPH/Iz4C+ j9AfAjwPgG8r8I4Gfl/YcxL2fUa/FbSa7H+LPnbhSPKP3zzRewcbpfeRf38P oHWFTuR/GV+SswR923TouYvz0wEOdr75wPkA518MOx4iPqJgZxHiZxzydwXi i/lRHeNK+G8SvmUwumO9PPb/ZPEI+U+gz/Up6c8FniLguwa8Q4D/NeyRQd86 UILsPeBO9n/1JH+81yL/dL0oek9jcTmmJ90DHbdQ3A5fSnxgWU5x/aGG+ELr GMX9FvCjDvLiA/jRDXnTCD7airwyBj/GIu/kwGdGyMvv4DuW1yPhn0eIu2rE 3RrM98O+vhh1IW8T5Leg/oRB/xfgWQF8EuBHeeAPgj3OsK/7Z7L3UCnZvxf1 ostm8s+B7hUi91rGk/fKqP48+Ug8at6C+1sU7lu4J0imEA+bol5PAE/noP4N Ao8fR31MAs+zOhqAOmC2mEYF2H8A9rcirsIRV/LI1y34/oP5g1gvhf1vITcK Yzb0sX5oDfC0oQ6WAa8J8BvlkT07cC9KjCJ7A2PI/sp28ofEB/KPX7noOwCr 2yZ4B5BDXZ86nPolOdT9MvSPu3DfKrhN/ZYL+oau6MdGo6/QQr/WiL6jCeN9 2JcH+xwRN88QN2nIxybwQRZ4juUn44dLWD8d++9DHuurmN6fGEcDjxbDB7zs 3nMQ/WMy+p7N6B8nJIre09Xhn09i7yasj9ylTP25pzX1metwn4lHH26H+4wr +vAW3K9WoY+VxP0gCn1uKkZZ4B8D/KsQF70Rtw+Qb8uQb3fBY8/BY3tRH3Lx zXjODutLsL8ZcbYc8jWgbyD0bwOeQxjjgdce+INhzyf04Y6wl71vzIQ/ii3I P4lKou9M7F7jivt1TRLde6bhfp1XRveilO103/z1ge5NWtPoPnrjF92rVv6m 8VgZ4WvD/VoH5x6Ic09APlWh7+wCnjIFTyWD/7XB/+xeOAHfGZjXx3rWt85B fj6B/IPQx+4tlesJz9VSwleK94CDwJ+mj/eCCrLvUzDZm4N7cTz8cQ735iD4 i/mP3bPT8N7D4Z1CCu8bvux9DO887qfpHn8U4yO8V3SvIv0j8U4Rj7h9jPuj BvggGO8UWejnDcDvwehLd6FuvkFfoIt+5Da+QzAviXrQif65HrwW+4DklyI/ f4B/tBFnNcMJX14Z3gnwPhFyjuxZivEd3n1SXMn+zfBHBPzTICP6jsnefWrx /sjezXi8O57Au9lxjKPgTxn41wnvQBaIW0m8mx3C++MA8Mws8Gz3C8TfA/Fe OBD3hoRvVBd90F/leVO/cTKP+rjw9fSdhPl3n2n9rR+03xn1YAzqQyv0XYb+ dcjPRrw/BCLOynYQ/tuw5zXsy4a9ZRjV4Q9P9r4+QfTdl71DxuCdvhrvuJ8x mmC/F/a/uE/nIodz2YF4bwUfJOEdt9WZeGQ13jt48LM13nH/4P7pZk39xKzV 1E98wT3qA+4DnbgPOI6g7xWLaH6VL603tqL9MW9J3lLU1dnQ54r6YGlKeD6n EL4y/H8wBe/QobBnBnt3hb3esL8Z/niH8cBc0Xdy8ffxs2LzVWJ+PyMWzwfE eEJaXZR/PxuJ1rWkl6L9wrl60f8X2kNE+9vIyaL3BskdovexGT9E77k7ykTf D5LF3mU+KYq+d+V2iv4/EyH2P85Hsf973Of+v/9X6C65bM6H6nhd83c3Bm7s 1mVy3/YB/PyRWlMibh98Z9Z1sr5jxPg13tFyBlH/xv0x9ygx+FsYPGhrlafh D5+lf7g1bwx7Bs9QbvmoaZS1vr3Cb4OLUc7s+oJTx33++83m2Xq2n8lj8pk+ pp/hEcd3c2lOv3v2MtznjFqz946jBBvtXgvHJA8RwlvfThn8axlnePhqh9Wf 7UK6d2Xcq6nBgrS332G1mSe4lCeVttE1Z7gA4ws2m1rXCHvSr7Vcjg8XnurS N5dP8ylYf9eL9muHkbyzkP9Wi/QNyyT97cAj7r8i4Dur5sm1yQ/n+ia9ej81 04lL6yJ7sX7aHmHNgt4ZQ3+d5QK9lmq8Vb/CxWw/M8VgbZog7aekvGVXhHDt gK/s+9CXXGp6ete2oPdcIb6VMJ8TROu91tL+GRYk7zLkR18lfU7qpN8ceMXP NxT++4T1r13SY9wS9ghvfqeerbC4xJm+PlN5weK64Ob0SL3xyEvhSXGPjDV1 77n7pRfPBbr34vPDjixqzhnCS6Z5KpmMVeIFfF/FfMQzWh+3mPaPrSB5zZD/ B/qWwD+NwCMef5fg/2zYx/brj6z/9aDvbUHYd8k55lS8UHGrs879ZSsXfab5 W7HVKH7e8rla3kMW8Fc1pBU7xnnwBm8M7Q6ne/33ewrmbbHeFPsvHSN5LSNI /jvoi4J+L+ARz4+0QxQvT+fTedwvJ3sNT5G8P2GmPRaqv+FSdoSNlVg8js8t nBLpscCPH9Vl6PxDE0/xeY9rP/onXuYTyxXcwrte5+/hWxXzZVh/Npj2Bx4l ed+Pk3wt+Hcs4mEw4lc8f58hPywQf/1wviWw/z7k35PsU/0pJpgffvDSlecm 1/k7J+pyE7o/4bctOPjAR6eUn5RX9MXoYzkfiO/bmB+B9TnYbwx53pB/FvHw APF7Cfkmzi8maykfA7ZSvPdC/GXivB7BH4Ohr/Xr1wnbGkv4xSPv7N095AP/ bb+KXURWHT/6+1oXk6Wf+O/4dsb8H6xXxv5XkHcO8vsjfqORn9+9CI84/0nd J/6ot6X8LHlJ8b8b8TUa55cF/yyBft0x011KrD/xMieKNkzPreYfqtVXKRx9 yw/EN5tneNl+ZcjTh/wI5NsBb9KvDL4T52eVQOK7N2HEJ58PUb7mIx8ExNtG nOcX+GsA8KS/H7qsW3A+P8L6x0r/wEw+A99snvl7K/bfhbxkyE8EP5gcJP19 pxEe8frxM4f4eUQG8V9oKvHLUuRvEvJjAuKPne9j+I/hC3Y6eP9A42FeCd+F mB+L9drYnwB5epBfAX3/wL9rMgmPeH07s4Xwz4c/O+HPAtj7APZvgT/q4J/+ 8BfznyLwZYn5sx7r2f5syIuFfGv4MwP+HOMi6k92/rF5FA+LbCg+/iE+wxE/ jF/uiMWnFuJPGnjuw3+y+NYWi08B+1m820C+E+LT0IP0H38kGp8sn66vofyS RL4vKKL8UzxL+fgQ+cn46Bfyl+Fl8ToG51uLbyfMM35g/PQE8nYj3zPAL4HI dxlv0Xxn/OThQ3yl5k38tRr8+QH8Nhd8lw3+Y/pY/gbgPLUQf1vE+HMY1jP+ VYS8gVkk3wb6hkH/dB9R/mR8/w/16C/qUSTqkSXqkd0J1A/Uo/vwhwrOj8Vb PPIjC98jMM/41xn4xoSTvDNHSP4l1KMQ1KNIsXrE6qdEG9VT465UXxc0U71t R303CSN5RfBvFs6rD+IrHvmgjfy9ju8ZmI/F+qfYL4N62QXy61HfL6C+x4jV d9aPbNCh/uQc+hVVV+pfpgPvEdh7GeczFPXjNeL/FfK1EfySjO9DmP+K+JuI /T0hrxT4PqJf+oN+7YqOaL/E+rt89J9zVKj/2w+8yvBvA84jFfW/GvEev5Hy cyn6zWjwXwj45d5qmo/Hei3s94S8O/CfHPR9Qf/7JEO0/2T9cjL659OYH6ZH 9vRHPLQjXhQR3/7IR7UC4o8TGsR3J9DPp06l75jHNN+Jeh2GfscS8o7jfHux /hf6r4j18/9b7kctOhtDRl9dpOeX+EVqfUc/bg9G9rtnkV3r1hXKgq3cqb32 g1SEETOiHMrlzk9esWueTtVyLW6AeZfJpis0uI7L5/u+m3lzitXwifXPH47n JjWVKw4LWMiZ1Twytl19RT/XwmmeRr2vkG+QINfv7UZh0N1LDwd8CTD4c6v4 aZbaAc7DyUslpsZFiLuR6/Vu0SjDrwP0szhrW+Ga8/2X8/0PcsciM01VZeIM dy55dKNX7lnhme9Kg6Sjwdy3LoqDddt6G/WfOFxOoUsw5/WlOcPWKlAY9rxs 9XmnuUYb7mQcdnO7wE24KJX0btNeQT5d/1j8q9VGj2/T70s/03r2+y4tkhMJ +UzOZ+hVWUp4mF7jwYRzuyPhZzhPwS5L2MvsKoQfguAf5odV8Jsf/Mn8FgI/ 74f/mZ/P4lz6XaXzYufyV+z82MjmdSBnGfY3vht9p6CnDiddRaPnk6SXs08P FBR+5qrlL9Pg7Pw7ZGUGeglSL1a4frXeIKgY2h6/c/gE5xZfmXz2WTiXvaUx Q2VrovBriMmOKQvDuTqfoWeGWp8QVv2J6T6tMl7IuzUv1yvjMcebteY0WkQK 5+ck97xa+4g7v0y/i7pJMle9P21FU5+nXHKSVG+/9FvcugP07YT5SVi/B/ud skie8V+Sn+xN+r7Jk/7pwPMnjvAZA+984N8Fe2qbyL5A2DsR9uthjIZ/jojF PfN/oRmdkwvOxwv+csgneam2xosnBnoL9zB2aDcNlrp7kgv+/cF7wedT3Mpu hn9NZ94Umnt67R49KFlIq479Pm1iLrdTyXDKXOc7gvd3JdcBy0o5y963nC4v f8odzSruYXC9ktPfn2aSZ/qe63tsQ7+4/TL8+Y3KxYfX13EKJq8XWV1S4k+5 ptmkjfnOyeE7APPDsX4q9m/LJHmhUiRfF/pWKZL+ecATCHz7gPcR8BvokD0/ Yd9MOxpXw5/jf5M/DsM/qWaiPMHi2xd5oID4N8I5aeOcLkFfE/zX3nqXL8rK EPIxXp0SMKDcvJjTCvAz2Kyex3VuUj1U/bxUiHxuvtj9wUdupEVNv7/lEnzQ ohOV27PruPY/P4IKbU35Ddm5PnXHlPkV2/qk9Aly5jvHFVu07jPmzX7M2jF8 7ir+5/CU+yOUZ/Cz8N2O+SVY74P9vf+SvEp7ks9BXy/oLwwgPHYbCV8a8I5o I/zDMJrDnzmwNxv2z4U/QkaQf1zFeJXxR7s+8Uws+OUy4n8A4t8A5+iJcyz0 JzwHgGca5xElUVEhDJtG48HakbsmLOjP7xxVtPb+h1Sh1Ct77Nguy/mu9iWF qhYL+cCtzwJfWITyw3JWhMxZ68+HH/J7G9j/It+x4nFh6MpQ/qJFcNmrsGt8 0aV5lg42R/hYfP/DPFs/Fvu3Q54a5L+DPqNupD8DeD4AZzxG5k8L+Pci7POF vZNh/1f44zH8M0OsDjF+tltCPC4N/tYeSrzybDPxigvys+495cdJnLMpzjlO ivDOqSO8RfUphd03e/KfMR6ZoHDigHwEn/vZSGrippN8fYn2fu9uObzTivES Ozel8Rrq+vOGfnnGv7G2DTP5kMtbrbiRuHRgOX9w1mgDe89H/EJ8V2BeHesX Yf8PyLsH+SegrxL6azAuhD+9+uF8gV8V9jgj/yVgrwx4dRl4fif889VRtG6z +rfCieqkbm+qjw/bia8v+xJfJ/Qi3jkL3mlwpPzRQf7IIQ5KEAeZsCcc9sgF V8759SaXH4KxULN6Y833Sn7fryRdpY9lfPis4Sn/ptfyfZ/eqFc+Uc3XRmfa +Tl84h3Nza6OCfvIf8R3H8yz9aHYXwR5CpA/FON56H8IPG+AbwzwugN/vQPZ Ewv7QsHjJqiPvqiPD9HnBIn1Oay/CFxNfcjbxdR//JxGddAcdfXcPuLzCXeI z5+Dl76C54aK5ZedWJzshb0FsLdBOej6uri6/46z5kzeIaFWyx/+IWjcLqjj p/Tov3ONUhV/0XjJ0+PDav/7HY55tv4H9jdiLIb8PdDXCP32wLMJ+BgfdAOv usCevqh/3VG/6mF/wSzyhy76s2gf0b6Q9W8z/lKfZ21A/d0ND+oveHPqL/L8 qE76oE4uUSe+Nwfft4C3wsBb5cg/lq8sjsIQR0fhD1P4o71hwFo9uTK+FeOe Z3tULX9l82+eP5BvcyjiQ/HdgXm2nvmT+ZfJZ/qY/krgOQR8f4B3LcOP+jUM 9o1EX7AW/ZXacvLHPPS/5t9E+2jWH89KpD764j3qn4+kUt9WsZf6tkxn6j+s 0X9ojKA6OgV1tBj1IAb1YB94zRq85oD8rEZ+xiDO9BBnVfDXLvjLNPzq9Mn6 0fwMjGYYmX+rsZ7FaSzksfxfBH1MfxjwRIrVr9nA34S+QBX2tbuQvfroYz9c I3/0Esg/QbGi9w42jvxD/s27S+s2IB4r4cepG+h8LKDHBvFoDBx/cb6srrLz t4EdLD6YH1n8TIYfWJwxP7KR+W8vvtnI4tEA+1l810A+41lWrxge5kcWj6bA LwF7hsC+JH+y920o2b/DjfxhBT/6/BS9p7G43Ah+TJhCcSuAH3cir0+BH5ci 7h+AT5yQF4rgmyPIG1ZHxyOvGF8dQt59B59NQ17OwMjyWh/+eYu4E/f3TKxn I+NHVn9Y/WJ5vRh4GO8oA68t8B+EPdqwLyyU7M2D/dozyR8D9Mg/Gt6i91rG kyqo1ztRZyahXpdlEs+OQL3+IRAP+zhRfatHnemF+rcXPH4X9bEJPC+P+vkU deAJxnrYfwT2H0FcsfyMRr5+wHcY5g9jPaszrP4z+cOhj/VXrF6HAN8A4G0B fhvcDyxRZ6ahXnO4b7qiXteizsQ7i74DsLqd4kz90GZJquvx6B+L1lHdH6BM /dQN9AUl6Lcs0TeUDqR+rBx9xVv0a6yPO4aR9T2sjovHTR+xfGQ8x/pHKcyz /nE39jdAHpPP+q2jGFkf+xb48nE/qJlP+C/BnibYJwV7/8D+UPjDvhf5R95Z 9N2E9ZFT0J+vQZ9ZjP69E334HPT33dCnPsB9ZhX62OdT6X6wBH0u63e/AX8Z 8D9AXOxAXLB8O4h8ew0eiwCPHRCrD6xPDxPjD9bPsD6f6WN9+BvgeYZxDE94 U4A/EPeZJbDvBOy1QB8+DO8vcfBPsNg7E7vXvMZ9sQn3njDcJ11wL+rRTPfN WNybLHAfLcO96jtGQ+A7ivv16wF07gqI2/7IJ9Z3sj5uGXiqFfw/DfxfiLpq gO9fmGe8poD97L4+CPINoC9ajvSHwF/ncB8MB97zGD/hnWAr7LuA+7U87DeE P+7CP15i73Lsnh2B94tS3MOl8b4hsZHu6a54/5iHe7wNRk34Mw76j+FcrXCu n5AvHcgXO/DQ7lvEQ6z/bThK/P4bfZwk6mYH+pEx+B6CujoJ9WAz9ncBrzlC /gPoOw79Q4FnEPA5AG89/NeK9xdl2FWMdx8L9j74i/whBf/cMRN9x2TvPrPw njYH70Kv8P74+T69G61+QKMn/DkI/m3EuW3CuSUhH7KQD8W4p3qCZwTwty34 2wX3huFzqS7moP/1xXujL97NytHHfUY/oof++AHq6mjI84J8XehbB/2jgGcF 8MkBbwzw28JfzfBfxmOy9wDezX7CH3bwzzyxd1/2DnkS77xL8U7phPEm9o/C /lbEqb4incshxPuQBRTvHHikCTxiAX6O70v8/BF1rxl1z8kc90+8t79zpT7N FO/pCXjH3Y139+G4V5zUpvVWuK8FQZ4/5P/sQ/okoN8TeL6B968jPw2AXw3v hd/x7uoFeyXxfrsW/nDDeChR9J1c/H1cfF5fzO8uYvGcL8YTKWL82+gkWteG iv1vELpOtA/7UCfa306PFr03CGL3sfFi99w1Yu8H4v+nWIu9d60Te0d8JvY+ O1vs3Xvv/+d/hd07E+YEfopPOyjfLszp1SU9YEb80u/KWjcXLtqvZdRrcoaB 3ITc3XFymcNrEjauWVWSWV8aHTq41vPWh7+Nem/WvbkVkCSTOPqbZpaq+rAT aptcsvh5efesT/v895vNs/VsP5PH5DN9TD/DI45vr+HZZ+ldRnNaq+TuVmib CUdKM2yVhrtykQ99P3R/vV6we+vRrcuoDZx+7U9X3S9xXPcsC/t7AQeEMuWt 1ut3XRfqYxXd/QqiuD5jx6+6nn2bUzpL3x5jaH5IO60vfEP7XzwnedWPSb7z K9Knupr0PzYiPOL+Ww98AT53Twz39+AqrM73VR25VbhlMsute2cYV1U4er3N Fk/hUf6kvff6PxMk1j4N97/4UNC11i036FrFnV3tlvVD9jsX3GjgtD75Ozdx LX1Pt6f5WUto/daHtD9nN8nTnUXynWxIn4Yv6XcBXvHzVYb/di6k9X7C1DHr ToZzp7RSY28WxQpS5yV39FxwS+hU7rzeOuYL97HbzwPN+l14v70OiTqfhvIt zRPc/ppo8ZuCvc8PU53My7XQtx3mJ0nQ+gwF2t8vjuQJeiTfJpv0tcI/yvCv ePyFPCL/L5xG9tXr0P6Fh21jev65yRmvmmb0e957zjHm6AQDoVu2isW/czdO 8nx6oPHCEH13fmPGq+JLJ/z5GLtOwX1qIL8V31cxn7iA1kudo/0+a0ie8QWS Hz+F9CXBv5r5hEc8P2a/pnjRiqLz6DhD9kqvJnnZU4umfL8mm716rSofsnsp v+fV3urPV/bxyaUhvMfiSP7UgU4jq+fxfLq+q6Vy7hV+N76PYd4K62vX0P5D JiRP3pPku0SQPpcY0t9WTnjE83dfNcX33ScUP7dH0PloRJP9SsC3ckz2KznJ Y/yb76Z655US+VsrtPYlCUm8WR+XlGUlJ/lGVb6q/Ywjf0WKvkdhXrae1m/D /hrIS7xA8q8jnvZBf+oHwiPOLzkPKB8vu1O8xyH+zHBei+APSejrN6Xjq7PF Rd6wxb9nvGxG9n2zDTtyt97P7lT0Ch486UH2CHP6LsR8+2Ra/xP2LYW8yZDv 2pX0lXqQ/shiwiPOf36KxB+rbCk/K/dR/JcjvlJwfl7wzzPov3u7Q7bf8rzs 8sBvab624dkj/86f53k1lm/Gdz3m07HeCfvPQl4u5EfvIX0Z0B+lRnjE+Tnr CvHdKfDLW+TrbuTDFcTbOJynPvyltI3w6DgvPBkok8MfrtAoNbyYxc/B90zM e2B9NPZHQ1445K+Evm1epL/sEuERrx+DJxI/a38j/rsFfrFF/j5DfqQpUPy1 4Xxv/CH/bQO+d5ekNZZkxfM5+H6E+R5KtN50IO1Pg7zVkL8M+q43kH5/NcIj Xt8iUwh/d/DzVti3Hfaehf0c/FGPeNy3hfzF/HcU+Bbj+xvO3xb+zMB+N8hz gnx78K/jGtJfc17Un+z8K0ZRPDhZUXz0RHw2I34yEE/zEF9/EW91iL+VWwnP Z/jPHPg+Y94N6ydh/ynIK4D8KtQDBcTnkVGi8cny6Vcu5Vc18u0b8s/cQjTf PyFfPyN/F0D/APirF843F/72wnwb1rP9KyFvPuQnQJ+LJ+lPqxDNd8ZP/lXE V6qPib/egj+3RBC/BYPvNoH/iqHPHP4JAH9OlKf4u4TztcH8L6yPwP71kOeF +rRjOOnr/oj0m70T5U/G92PQvygFUj2wjKX6YIr6NhD1oxP1ZC38cRrnF4l4 i0Z+nMR3FOYtsX4F8HlMJ3ntkP8tkfRp+ZP+yU9F6xGrnzdR3/OnU31t0qZ6 m3yM6m805ClHkf2BOK9QxJcv8sEN+XsU388wrwM+f4L6Y+pN8mxPoX9Av7MR +lc9FK3vrB/RQb/Ujn7pzB3qXzwn0f5zl8je3YiHb6hXtcg3HfCDNfglBd+1 yA+bLrRediTtn5xE8oLhD8ss0udhSfrrXoj2S6y/y0T/+Rf9Zwb6qwzY13CU zsMN8ftpFcX7EvSfJqgPXcB/98AvHTY0n+ZC6zOxv8GY5L0zJfmewKcE/bdW ivafrF+WRf+cB7w74N8RiAfDlxQvz99TfKsJlI8nRxJ/7LpAfGc3ivh580V8 j6V5rc+0XgX9zpGHJK8G53sP/pMAvtkGov38/5r7UVV21y8pi26smzTfJ8Bb hovEyH63Cl/uv63YUNilMNjY18VEaAt55+Q24nz638XHh2365cQtPfewKlPK hXOxOKEybO7Nm45R9npTjvgLtoVfrLas9BOi44vkg3yvZKSs35N4dv1eLjJ5 pWqUxypulay/e+KPgEzPGft0Jw50FWYYHbx/5Np5TvH9PkUJ51G3HshZd16M SBUsl/sP3aCxmjvnvtPcfnDcLYk31zRndQZyda0tZ0otTwvui52u9fnXOys4 xGyt588kLi/zWqDf+R3CEQvXlrxlc7O0qk7MHPk/v7v0kjdcLe3K9X1YVvD1 zeqsRx/o94w8Ws9+77Wb5Bzr2vof+UxOkE7yf/QqfdjwHzxMr5Is4VTUIfwM 56cpZFf6JbKX2WW9gfwQ+pT8w/ygGk1++wp/Mr91XUJ+1h5G/md+zj9K57JO h86LnYuTjuj5sZHNb8E5zsa5TuY7dy4vcubkMNZ8btf+pLlFiB352llxUIBw fPGdBaVDjnI+m2uy5uru43redO/V6RUlWGwbvWB/zCqux820uU4Trwsuuo9U Dn69JbysGxEd0VrMDYp9vMtlpq+QU7n03t+uiZz8K88eqtEPONeZUSYaf59x eUvCcs5MusdFtXWT0V7wnbNwnK++KzODk8V36lKatzOj9U1ltD/jCck7Vv3o P/KHfyR9YyaS/vUZhOfFGcInnUl4EwMJv7sT2bNHkex784XsNTIh+70wVsC/ xsNE4575v+0snZO0E52PEfxVAf8lK29bc+dCOKczikal3mNHJ3yPE5IX7g2I NowUDnSTmv41PpqbVBpvNaHqmjD8bKFfp/xzbvi9+rdjHau4Y920DKpKfwh7 OvbM1vf7wBVW5aRLb5DmNSdVGM3dXc2lVkgbaEtr8LYH6l6Y9ujK+34MakiW 0OXvFq3P1jfqy+/Htwzmh76m9UfH036HDyRvZDPJ1/mj+R99Rtmk/8k5wtO7 kvAl9Ca8v6wJf38psuch7HPF+Aj+HAf/TkH8xojxBIvvJeAJBfBGGeJMDXFX AH+tgv9q+6ut1dp2lTvUl8Zj6mbtu7MzuHVJr6021FZwZbo9Dz6fKpGtM8Az seev34KV37aAF+Mn8znV4VdLM2X5NbPbzBrfOPAj+tplJC2ZxodvupzxMd2b N16THKpqb83rmf3eU/NyE3+0yadr+FkH3hjfapjfj/UDsX805GnVkHy/9aRP vy/pl9UjPAHXCZ/lEMJbMYjwzxpMoxL8+RH+/QP7NbeSP4aDH549FeVVxh9x l4ln7P2IX3R2UvxXp1P8Dyijc/zYi85x+lXC80eN8Iy07t92W75b9gGMnVte WUT5mPOLJz7dpKAzjU9M+WFr4OjPJ4Qk6K4rXMOf7eUzY+iDY3ynzKcVzgt3 83nrrKOfTInlv78Z0eEXe4w3c+FqEi9f4XvLypu/6X6a18V3C+YTsL7vANq/ E/J2Qn4Z9BVMIP2WgYTH0obwxVjR6CZP+Efj/E36kH1Rr8jelgyyX3EP+WOQ P/lnT4JoHWL8nKNPPJ5sSvx9fhLxigCek7tL+fHxNOXHIGk65zTE3Xj4qwr+ W/BrWfsUk638MIz/No85svpbFH//TOvDLkoRfNqvYOf6P8n8eNlvr73SrvLS ew5OnmYZxzfMkuVqR1/nZT2aFm/3DuD7tlfl/dyfzAe403cj5u/tpvVTsf88 5OVDfgf0WUL/UIyO8KcU8I7SIfy5MmSPBPJ/Dey1Tyf7a7TJH1rTyD/rDETr Nqt/llOpbrsNpvp4ew3VgzO1xNfvW4l3ZnQS72h/oPz5g/zZgTi4jjh4Cnva YI/rBqEkuMt1fiPGuRcOj78WdSx7yq3kl9zIHTxvP/DT4Tf3sg9MnRevKdzI tnltdL3Y9UF2yRU3f61FQrYDviMw74j1R7HfC/KWQ/56jN23kP4C4MkBvtPA 6wy++Qh77CSIx1thbwPsj7Emf7TDPw26on0O6y/etlGfY9KD+o8epVQHh3yj OvhyIvH5EPB5Yx/ipdPgpZ/IzxPIrymIkyjEiTLsrY0gew/98Pzx8u79bFeM xc/kdE0NM7JN3AxGVw+5ly3rUM7vHhLJn6mp/Th1fEb2S3v6NsR8Btavw/7d GO3hz5+ZpC8C+mcAzwHgkwAf2AL/WPDskmqyb94EsrfqMdm/+zX5I7KR+sLJ XVpF+kLWvznFUp83eRf1d9sXUX+xbQ71FzGok0dRJ5tWE98XgO9/greywVu1 yL+7yL8qxNFMxJEl/HEA/mjq81tmZ/xNfkhfGp957LFf9PEOL31+nuXqK9n8 N3z3w/xQjB3YPxHyHCA/EvpSob8ZeNKB7xfwXgV+WdSvXbCvbT/Z+3IG2Z/u RP6YcID8I3FftI9m/XGVF/XRZyqof9aeQ31b8R/q2949o/5DE/3HetRRS9TR cagHE1EPuoPXEsBrz5GfTsjPB4iz2Yi7n+fIX7nwl1zPAAUH2WR+MEZljDmY Hwb/fkKc5kOeD+TfhT5vN9LfFXgmAd9Q4DUH/sOwxxH2/UO/NRP2q9mRP57g 3mEyXPTewUat6+RfP6yTRzzGQ85IxOMY6BmF8+OAoxXny3B+xvl3wI8fGK/B zrmIn2Xw41/E4zv4KQ+jEvxXhm82PwLx2AQ/zoQ8O8i/BX2h8GM78CgDXxvw 9gZ+L9gzE/ZtQDzObyX7DV3JH824pyXeFb2nsbh8/4v40RF5rY57wincG3qg X56DuB8MPklHXjSAH+8hb+TBR1+RV1/BV9ORd4zXUpGXzzDKwz8N8M8AxJ0Z /N0L8+lYH4HxFOSxerUdfBwF/XrAcwX4OoDXDPh7wZ5hsG8i6kHTdLJ/KPxx H/7Z1d4icq9lPHmYp/oTVEA8mhxM9UnpLfHsoTaqX8HviYfTUd/CwdM5qH+n weOlqI/x4HkH1E9L1IG7GANgvyXsZ3EVgLhKQL6yeq2LeVest8H+TZCngdEN +mKh/yHwbAS+AuA9D/ySsKcO9yyfdrLX/DPZH7CY/BFUSf7J0fQXeQdgdfuL HvVDRoOork/Qon5pLOq+bQ71U13+Ud9jg/4xF33PP/S7l9BXyKNf64q+4xv6 H9b3nIV9zxE3nxE3icjHfORjAnjuO/ghDfMq6DcTsD8G8li/0wJ9rG+dDDwP ge8x8F4H/on9yJ74v2TfUdwni3BPn6RJ/rCAfzx1Rd9NWB+5Iob6cxMd6jM9 zlH/LpNJfagC7qUq56lPDU+m/j8afXgO7jE+6HN7Y7QB/tPA/xJxsQlxMRn5 loF8awWP6YDHBqE+jMN3OebTsF4J+49AXgXr86HPFPp3A08mxuW411jivvgz hewJjSD7TN+Svea3yP6TV8gfe1XIP5ZRou9M7F6Tgvu1Bu6Ff3C/9sI7jooV 3Tdvdqd70zJpuo8OH0v3qsMqNGoCn9lkwqeHe8NvnHse8mkV8qk7+rhQxrPg /wngfxnU1an4bsR8MdY3gufsIe8w5H+FvjbEXQH8VQp8kqMIr58yjSV4J/gh QfZpwt61sN8S/uiK98kJhaLvcuyePQHvF2PwTmGF9555uKen4L0nUJLu8dYY /0C/f1fSn4Z3gJu4X01E/meCDz7jnWIeePYV+vku4HdF1M3pqJu70Y9sxXcb +lY3rG/F/jDcD1Z9JPkxuJc4Qv8CxFnPVML3CPHgjPcWz15kjylGa9grDfs3 jyB/OEWSf7afFX3HZO8+z/H+uBDvZsfw7qiCdyM9jM2QHwz5Mjg3Z5ybMvJ/ LvggHLzqDZ6tAX9HNhF/t2pRXWTvicHor7rjvTG0mPq4J/h2x/z42bT+Eurq qWySF95C8t9CXxL0X8giPHPfE76DwHsa+D86kj0qsO8y3gtTMWZy5I+1eF9X VxB992XvkKu16Z33Id5x72I8BH+awr8hiFNdxO09xPsVxHvjWeKRAC3ikal4 72gCPxefRN17TnXv8wvqJ7R2UD/R0xl92lvq04oXUf/75z19n8K9YtJ2Wu9c TvuDxtB9tmkEyS/EPdgN+i2HE56Q24RvPfA+Bn59xNkMxJ0e/BUA/y07Qv5Y iVFOS/SdXPx93ElbdL5WzO+rxd7lo8R4IjVOlH+jJ4vWtQZ70X6h86doH1ac LtrfKv2QE7k3aKWL3see/xH9/8Onm+j7wfwpou8ykWdE37v2iP0/E3pW9H1W Suz/nnSt//f/Cuf1zhhmmcXoHou6kHz5Vofevd5NLhoz1aecaH8avuHHJH0p m/U3W30HGlwrGLqj+U+hwaNTI1MfzHQzfPZySsro9leGrSeTN+b8HWf0Y29V 0JTnjkYb02fEne61+r/fbJ6tZ/uZPCaf6WP6GR5xfBKzdwUv6SXH5f0uVcuY MUngA6IVOmZO5rT3CWP1wxdy+1/FyCj+DhBetP8M7Vw0Sdj85MeoEUbHuIfO FRVvV4Rzr3cdmbtn5jJuVc+uQys9fYX8PfQ9agnNv39E63vW0v5jpSQvbi/J 19xE+mSbSf8a4BH3Xy7wtX4fez5u/wzubdjou8ajVLiakDjrgkuBgpzu++i+ ESe51/ODAg+VbuPkdMpVtrenCIaNW2sWJWZwJ1cFZKRVVHG/Dv166675ibuD 7+pfNH98Eq0fbUb7u+mQvP6QH7SH9O2tJ/1jgFf8fF9uJHtGhtP6rIJFU8r8 AoVDXZ+P7jH6AmdX4dP+rf26sMlj00sZqTvCw9OunTsHN3IzyuI6dy4eyF/4 8nTS6LwxvIe3WUT+Rg0+Ft9jMX8J63k32t+3nOQ96ULypaDvxUHSfxfnKR5/ tjjft7DPFPjU3Pa19HBKFb6WBb7Lt4jmtGXi62ctaOUsXI87ei7T5h+NSDKK KFvE60xYbOW70IcPfP5TZV3pBn4yvgsxvwTr0/vT/l1PSd6g5STfFHg/7ST9 aogH8fxoR7z44jzmw16zZyQvceEqPQencu7Gnz2eLa6z+Oanl6y6n97OO3Uf urKgywU+4rvOvKzr1/hf+0dd8HmUyp/DtwvmuxfR+nbst7UjeSr5JP90GenL 1Cb984BHPH+D+/36T3zbLqT4acH5HoL/GiFfeLxz38Mp+/nql5E9XPuk8bpm Ek4zffJ5naGlc4vWlvI3F3R5EV5ezmvjm83XYP1t7G+GvGT4t8dy0uc3g/Rn PaN8E+cXlweUjzMnUrx/O0XxdA7n9RX+ewN9pUFXdYydnvNeg0wXHdlRzVvs 7X55241a3l/jbHyfhXX8PHx7Y74S6z9jfy/4NxjyIxG/N5Fvf8EP4vzXaEv8 4fiH8vPsK4r/ZsSXI85PG/5ZC/258m+zFi+q43v8yP0zMKKav++z6faGHu/4 nvhm8wyvDvYvhryXkM/yrfA36ZdwIjzi/HxHm/gueg3xyVjkqxny4TTibTzO cy78xfBdHJ6xenXEU95z/65z/ZSz+Vh8M7zMvyw+WPzqQv4W6JNfTfpVvAmP eP3or0v8HHyY+O+tF/HLUeRvM/IjDfG3AefL/MfwzZZJ3uaueY73xvdDzG/E +nTsr4c8xg9a4LPTYaT/gDzhEa9v0Tzh5+FPLdhnDnsvwn4t+MMM/mH+ioH/ VgJfAr6Zvxdg/STsPwV5EyDfF/p6wp9Z60X9yc7fGfHZG/F5HfHZcyTFz3LE k55YfAqIv+7AkwP/9cL3XbH4ZPm/BPJKEJ8TEZ/FqF+yS0Tjk+WT20PKLzVN yrdS5Hsq8vEX8v2jWL4zvHPF8t0c32y+DOtrsb8J8jwh3wH5/kyL9O8Qy3fG T60DiD+vWBF/NYM/68BvNYzvxPiT5f9EnGcq4o+drxbmP2B9Jva/gLxB4Oed 0OdoSfqH9Pglwp+M7w+A/ytQD7agPtwrpHrRz4nqx0vIb4U/nHF+LH9ZfpzE tw3mWf36jv3SqEfSJSR/O+ofh3oo+0q0HrH6OSSU6um7XVRf/6C+O7lT/T2F +jkc/vXFecUhvtSRD+uQv5Pw/QDzAVjfDfslIM8Q/UMk9A2A/nv7ROs760cW oz9pOUz9ykn0LybdaH8L/Hsf/U63MxRPmxH/WcjXzeCXHHybYj4R8bcK9bEc 8pSAbx/0LT1C+i9uFO2XWH/3Gv3nP/SfPug/P8A+NZyHO+qvOvrPVQ2UnwPQ b3qj//TF948mmm9EPZzG0f6FrP+EfDP0k0+h/+pv0f6T9csa6J8ZXjP41xbx UIH4DXxN/UER+vl/LsQfHQnEd7vau/yHn+su0PdP8Mu1x7Q+9T7tb4S8jTjf NvgvDvpfm4v28/9b7kf2a9atO/DNRi9JdtBqW5P+XA5G9nvqcROPg6bjhNFl eydPXqsp9JCRsTqQdnLyjX0Gh5evmM4ZLVrRcuL+dK7wTeh6tZaUKaabuvU/ njtfGOV90y6IkxVubCq7puZwSf/9mi6HVtXYC1L+y8yeua4TdEx++xyf72fg sWflp/V+ezjTmKThXg5ruAtz9kRnfRphOHqpif1w+/1C3MOrjotWh3J95Yu+ uOZHG9p833Kv8l+4YJHkqv08bB1XLDmmfq96D6Pl429crNgczmUtNFsxetwm ofbdA2P1ebOMjPtN9J7UFs0FDjlVUnJkpzC2S4azd7KH0fO+9Lsm1rPfP0wg OfMTSD6TY/iV9D66T3iY3i3AWRlL+BnON7vJruMbyF5m19fV5AclH/IP80O3 zeS3I/An81v3UPJzCvzP/Kx5gs7l7CA6L3YuBwaJnh8b2XznK5ITh3P1PWkl ZM+dwW3FqGwaNdPHy044tH7xmSwjS8FwsI+C1HATrue7z4suDXYVCkN6Jlkv 3seNn+7ts1PxCOe1fMGSYaFXhTtdr84oLvMUojpm9XmieIk7JrMpM6P3JaEj 5nLSDKd8Trv2ovuVXv7c5i9yDZ02JVyxQ4104dBM7kyQSsCpbm+4WNUd/pJP 73IDdtD3Gcw7YX1UE+0/AXnO/Un+uD+kz6M36X+6jPDcnUb4PIC39C3hr5GH PX5kXwTsfQn7X2HUg3+vi8U9878EzukK8sAW/tKAPPmWfTENOerc7Q4a1XxN FGIG7+FWN2t9TS0+xB0LW+lwWjpF2HxARs22MlnYEzX9iPGhJ9x2lWoth6b9 Qu7f86Ea1sXc+g9pfIjnC271aa/H3g/aOIVf2d/nTKvj+uzyuHj64Qj+Ml9Q IPOkmXs09VXV06Pq/N6KbL9jGzq5XHwfwTyH9QE/af9dyOsP+cXQFzyS9H+N JDwd+wmfDfDaAn+mD9kzukfof+yz6SQ7j8L+RPhDEvG7VIwnWHyf86Q86ALe 8EOcdQyic8qAvmbo2zLpmP/5b/9TbzDGDwjoqRpVxC3bPy3n6t4n3NpTy86d 838jfB+vuXXsuHJuw5W7xzKvK/Lt51IyjEy680t8YnttN1rAl+u7WdbXTuLj frTvVHrkwa/SblrmeMeMdz21afIYjfX8IRX3sHVdLPnl+F6G+Visr8T+5ZDX 5zzJ3w99jRqk/+kJwrMylPDpAK8j8M/CeBv2TYS9p+XI/gLEbT78k+8ryquM P/LBM6fBs/mI/0zEfy/E2RqcoznwLAeeliwVLjv+gzDsDo3G27Pajzlo8SM7 6z0D7Ebxs9uspP+Zr+Wz9vCGsz4781vtfH47xh3hi6X7zVilG8SvXnbH/eqq OH5h9apPHxOP8Fbnrg2rDU3hr87fvqsx6cR/v60wvwbrX2J/EOSVQ74d9K1k +oHnJ3AGYZwE/F1hjwXse4W4NYf9MfDHNfDvng2idYjxs1M08Xg9+Hvon0QR XmlUp/yoQn48m0DnfBXnbAi8i4HXe8nOwj8f1/GBGEdfHzXqYl407yCvd8qy 4DyvcGqKTsvFu7z909t2wzxu8psN8tXc1pTwMV4NGa+C7vM+s1XHNg0u558e XKDe3vD4v99RmGfr7bB/GOQthnwV6NsI/dswGgCfE/DqAv8HxG0B7AtRJHu3 wf5Y8GwG/HPlkmjdZvVvUC7VyYHOVB/f9yW+/tNOfB3+nngnuZN4pwT5E4T8 ERAHMxAHC2EP899yneeZnwPu8x4YM26VhnyMrOSltmz8J9FQxn+PdPW/ubiG f+Nr6PCubzU/O81k7jjzOn5s6+/jtSUfeHN8v8Y8W98H+7MgzxPy2agB/c7A YwV874C3APjHw54JsE8CPPsX9XE56tdx9A+GD0T7HNZfvDhLfcj+z9R/nFaJ +U8ddL9IdTC9kfj8+Bni82EGxEuzwEv5yK/tyK+FYnHSG/behL07I02Gj4+o /e/4XD7Oe/ihGt7r04Hryt9r+f0xg+MLzar4+1M5XdPgmv9++2C+BOuDsT8E 423IZ/qGQ78t8DA+eQG8/sD/AjzbgnplhPp1Fn3A0XbqC1LRn22NE+0LWf92 35P6vEpt6u8eLqH+Yuxn6i/eTqU6eQ518gL4/iT4fj54ayV4K1Is/1gcfUUc +cIfxfDHSJcuKYrjyvnhGDse9HmS13GPb/NrfpSt+YzvxLci5pUwMn8y/34T i+st0H8ReDzFeDgJ+FfAnhmwbzr6Ajn0VyMcyR8nJ5J/JtqL9tGsP84cRX10 hAz1zwbq1LfVbaO+7XcZ9R8DOOo/ElFHnVBHr6EeWKIePBHjtTHITzPkJ4uz UMRZO/zF/HfGevdOmwUJ/GmM5zH+wfwfrD+A/Y8gj/EB08f0FwKPhVj9cgf+ UNhTgf6qrZzsnYE+NlyN/PEO946bw0XvHWyM8yD/GvSndaMQj7u3kxxNjs7n N/Scw/m5AAc7X2vgZPViHexg8TgTdrL4YX5k8cX81I7xAvz3F99sZPHL8p3F N/PjW+hjfmR4LMTqPuuvXGBPCezTQzwqwI89EI/u0uSfA/ai9zQWl6HnKN89 dChuJ6gTP776RHF9D/wYgbiXBz/GIC+egm/WIm9YHd2KvGJ89QV5twN89hR5 yfJ7GPzD/NuKuGP+GimWz88wMp6tF6s/jFcWAc8q4GP8yPrQUvDjONi3FPw4 F3kt9Zv4MQT3WpvLovdaxpMmeVR/Cr8Qj57sR/UpDHWmFPU6FXWmVwTVN3vw 9APUv13gcUfUx5HgeTfUz0zUgXSMQbCf8aY34orV5zzkK+ODtZj/KnYerH6x PmAl9LH+ainw7AC+fOBdBvxTUK/7w770arL3DOpMmzT5Ixl15rrYOwCr2z+i qB8qXUJ1/VMH9Y+P0PdkaFA/ZYe+YCv6x7PoGyzQj81EX+GHfk0VfccYjCvE 7OstFjcs/73FeNVHjB/YeknsZ30B66tYv8XGLcBjAXxjgdcB+NVgzxbY93Mc 2VsI+7X+kT9moy90vCj6bsL6yHj05xXoMxPRv8eiD32G/j4SferTfdT/30If 64D7wWT0ueoYWf87HfiXIC5Yf8T68BXIt2jw2HzwWIFYfRCvu6yf2Qx5TpBv Cn3rod8QeKZh7Hqb8KqdJPzbcZ9pg30jcX+TxHtLPfyhhvezT2LvTOxeU7GM 7ovb19K9R72K7pPau+hetKGF7puXcG+qwn1UayDdq9wxvoQ/q4FvLc49C+de gHxaiHx6KcZTC8D/S8H/l1FXnfHN+iu2vhD72X39EeQzfYugfzTwFALfSdwH 2bvAAdhzltmH+3Up7oU5eG9wg39Ge4i+y7F7No/3CzXcw4PxvpEtS/f08c30 /mGNd571GF9Dfy70O+NcP+FcF+Gd4jXeXxrwThGPfvcO+P1nCPG7A+rmRfbe g37kHr7ZO8V41INn2F8FeePAcyegbzD0JwOPNPDZAe864K/D+4QB7PrWRvZq 431wKfzRHED+6Sf2jsnefebgPe0B3s0O4r1tGN6NVDF64P3sOvy7DXG6FXHb D/mgg3zYj3uqN94D43Df8owl/p6Ad7MhX6kudqDf8Md7YynezWbj+xbm76GO xqCuHkM9UID8DOhTGUH669g7Afgph8UZ4u4u3rW8f5N9XWGvDEZ3+OMC/NND 7N2XvUMq4523Au+4rzHuxv5s7N+Bc2nBueiz/PeieP8AHpkGHmnF/f4D7qUt eMdVxLv71ArqJ0ZpUD9Ra0d92vM+1Ke9U6H+VwHv6/H2NK+D9/kX32h/Lupo E+7Bg11I378+pL8L8BQBXwfetY4hX/siDx1hXyLs9Yb91+CPBIzJsqLv5P/X +7jYO7qFmN/NxeK5t5soTzwS49/Dl0TrWudD0X4h6rpoH3Zutmh/6z9I9N4Q Olf0PrY3UfSeu0/s/WBfnOi7TKHYe5fzCtF3xIFi77O9xN69xf8XYiP+R0rD /0o38D/TTfzvlIH/oTLxv1Qm/qe6hf+tbuF/rCz8r5WF/7n++83m2Xq2n8lj 8pk+pp/hEce36V5E4a6ZHXfUXkncuPBOXZisfvTGoTU23L7gjmF/nvgLvzu6 zHn7/SCnHxe/M+36ZU7e1TY37NJhQYpbuchAOVGIiStdl/Y7mcvurrLevfMe N/o8fX9cQPPZvrTeJ5b2H2gjeck7SH7KONI36gXpH/eE8Ij7LxP4+DLVTftC 7blHagpF6WM3Cg8megxbtfg4lzR6YPu/eVFCXJdSuV6rcoWlj98t8l+Qy9X1 fhLqt7yGu6wquWFhbgM35c3kFfc//+TGj6Pv59I07/SC1o+RoP0nlEhe0wSS Pwj6ppWS/qXPCY/4+YbAnnJVWt94feyu03ZHuQ3JA7+56icL5S6zhta1pHJr H3VTjPf5wc1ef2a9dUoX3ojfJvgmjOafNpxO6a5vwEvvSf/Xs8CE98d3GUfz D3xovdQD2r9gCcnreZ3k904lfV+hPw94xONPfyf8r0n2eaTQ/qm9s4+3rn7A jRpVPPlXYzqX4Zz+8unfLrzz4a/TVGQseIP3CSOXRazlrV9JPln8OJAPb4y7 PvXYDv4Qvssxv/oIrQ91of2zppK8M5CfAH1uOD9TxJt4fpT9pniZNoLO46ED 2avsTvKuzD5q3m++LB8j5W28ceUKPtxxwib3ZQf54uLvBhqvIvnW53MUrbrG 8yfu110cYniZ7/6Cvksw74b1R7F/BOTZmZP8hTivAYqkP6uV8Ijnrw3iewfi 58l9Op+d8J8X5PfUWe9vnXScH7A9vmah+WV+vPW8uLXdEvjYyulLi2P38QU7 Bhw47RiYPfgtfbtg3h7rx2H/W8grgfyd0KeI+P93kfCI84uiF+VjazHF+5B1 FE+HcV6B8Icx9A13HvBt5/6zvLlxqbG/ZHq2TP2sWf1v3Mt2uTEqO9kkN3sY vgXM78d6VezfA3mKkN8F8e5WQPqXgU/E+W+SJfHHGOTnasR/HOIrF+fnC//k Qf++TFsH/7a72XL3HSXNvpzOvuw1zvBq8//gz6VvO8xbYL079r+EvALIXwd9 4f1Iv7YN4RHn5+LDxHe14JMvPyhfI5APLN5m4jyrv5O/xgPPkaetKrMv3OYV AsK++ppn8UH43nWP5iXg39bXtP8H4nk75L+Avk0apN/lBOERrx/3/439Dz+v qib+e7Sb+CUL+bsL+ZESTPG3Ced7di35bxDwZY8uKSqck8Qr4XsF5mdg/afd tP8I5F2G/BHgs8XvSL816oV4fZt/ivDvVyd7VoL/zsJeWfhz/xvyRz38KQ1/ Tob/ZIBvHb6Hwp9vsN4Y/pSCPG3Id2skfX/Hkn75JFF/svP/MpviYUkfig8O 8bIf8fMK8XQK8RWOeFuL+NPNIzwta8h/Ix/Qtxfmf2L9VOyvgbzNkF+IetEo Sfr1eNH4ZPmkuZbya1YJ5VtP5J8x8jEE+dm+jfI1A/n7EvrVEH/7cL7t8B/D p4T1E5HvppDnBflPvUmfwivSXx0omu+Mnx6DP4vAX4Gob5FOxG8R4LsabeK/ 4dC3EP5xBn/uD6X488P5WmBeGevbsH8/5CmDP+dBnz70Z8eK8ifj+5ntxP8K ylQPUpdSffg8h+pFyRyqHwWQHwZ/lOP8WpC/gciPAYi/55j3w/oo7D+FerRY l+Tvgr4y6B/ZIVqPWP3cgvpeivp+D/VWDfW3Wo7kmS0m+wXU91DEF498OIr8 dcS3N+ZNcb6KjrRfez7Jq5Ik+TLoR6aivieI1XfWj3hpUH+SM476Fbk06l82 Yf9oT7J3ZT6dzx3EbzLi3wP8oA5+OY/vfpiXRH3Tfkz7bzuRvPmQb5hC+o6i X5JRF+2XWH8XV0793opy6v8c1Gn9BPi3hyqdx/luFD/T0X+OBD8YoP+c8Jb4 L1qFvkvQnxYX0frnXWn/JJxvB/x3D/2n1SvS379MtP9k/fLnW9Q/f66g+fnj yZ42+D/9H8VLZQLFdw/U3zkziT9mXCC+M+lB/Hwigr4fz6J5VfQPDbgP+KKf 14d8Ffjv4EvSvyZHtJ//33I/wn3uhssT3XC3+JHCEYzsd9tF3rODKpqntg5o Txjl0Ivdk9NfaIXbbfQ05yp/qJVuvGHB7o83PRacm2XY3VcwOdlUd3iLH7tn ZjxWzD+mlxjGXXnkuvK6XQiH+2imznD3rkOkQoVbEf0VVarC2b31ls2bjSF/ j5wUXBz7nY5afl7A/fbW6R5uO1c5pXJ3/g0x3l0YIeAenHW1fkl9nE8c96LT JOnOk2Psfp21RkpOaDOP4m68CNQPd7jI4V6dZShDv1f+oPXs9+ZGkuPdb+h/ 5DM5J3uT3n7LCQ/Tu6iScMqeJ/wMp5QC2eX/kOxldoXDD+UnyD/MD7vhty3w J/PbXvi5QZ78z/zs5Ezncimfzoudy5580fNjI5v3liE5v3Gu/dwH61huM+de u9GoZnKi1vHWOmH5tf4zE176CgNbJf8evxnOnSjct+vx0MOcj7Txfd/GBKHH gLDL4SWnhW5hn/3fWCVzIa4NmnvvZAhVAyWlnlgUc833/b7cqEvlWota8xwH XRc8XufOVx9QyMkOmx38QfMDl/r84h/l4bmci2/E7x2DWrlWnU6Ja71vcfo+ 9F1dQfNKQ2n94Wrav7ya5Hk+Jfnh0PdzKel/dJDw2PQnfPbAGwb8M5k9sO8H T/Y6wf45GHctJf/MHCIa98z/w3BOF3A+vSBvMPy3wLvRdeKWcO4qxr7f/p06 +eGasF3Zq6PI+IoQ/W784uP9c7mkn9syyu9c4pKHKH2090vjji9q2V55sIKb bOnprXErQXgjeWFYz9QXXIH9yrZntiP478qaboVKLdzrrPGnP0vp8I6PzxfZ Dx7IH4uu0FQ9bMwfCXw7cmfREP4xvl88ovn5t2n9rJG0X9aR5Ln/i/iPfC09 0mfkQPqrFQjPgx+Ez6mK8MYBv953sqcW9iVgfAl/BsAfS+Gf02I8weJ7C3hC CfH/Guf0qoXOSXUU6ZsH/52Z6HUosyOX851A49D+z69kKBcLrpIpwyKVgrkP mo0bTl3/zrUe04+1a3gnDNBfOCOj3YT/496NKwpV56euqnLt1sWV9+uppXdQ ay7/vfniq5cGG/jdX00zvkxYzK93Tf7YcjKI7/kl6Ha/Zhc+AN8JmO/aQutj sZ+DPKMVJF8G+hIPkv7ciYTHXIfw/QLexbBjuSaNkfCnHuyVQ5wWwx+n4J/e YrzK+OPEfeKZBPBL374U/5sQ/4Ff6Bxv4hxX+xCewdKEJ8jW5JuJ3lfuvDON ydWqxnYqVvwN+eKwHpPn8cO/Rbt5jgzkk87P9JV9v44PKSqolex9kjdeoNX0 fUko76+w/GO1UiwveA9a4Pv6BB/YPv7ddtnL/FnVi7sWDTzLB+M7C/N7sX4I 9l+FvIOQPwn6TkN/IfD0WEz4emGMgz9Le5M9R96TfR31ZO8+2H9VmvwhpUT+ yXsgWocYP/8+RzzuL0f8re1CvJK7n3jlNPIjSJHy4zPO+YA6nfMV4L0DvOaP aiIlP+/gZ2K8PkplltLsaD7vm0/Wq+UX+N//hzo/D6v5+97H8cgQMiVJkQwl GZtHj52ZTEmUuTKUFAllSBIlCUVShKQoYyXNzokQoUGJQoUMKUNEkfi+Luve z+s653r/rt/fn7/29Th777XutfZa91p7H8uTnlUnLrHrwUNz1awusO4FLK7i TTQ72D1tbEvLRbbpyPY5Pcc5iV9Wmv0c0vMCGxZG32GY//2Q1ldg/w3Ia4L8 89C3DPotMdYAXxHwZiNvzh8kexz7kH1bwEf7g8n+EvCsAurbgyjJus3rn789 1ckplVQflz0gvq4EX09sS7x2xph4p3AV5c845M8OxIEG4qAK9lyEPYN/LFk5 6NFFNgyjnl2F64yISHHqT0srK2Uz8Xpvt9UHDuSIE9609D+lmSLe5Kxz/++S XHHHMgNFNdMs8TJ8V2F+EdbXvaf95pBnCflGGFOhn+Ph+C4CrwD8frDn1ySy b1AHstcH9u/OI39UPSP/mC+W7HN4f/G2G/Uh++Wo/9iNOhhZTXXwBPjcbQHx eSl4yQy81AX5FYv84nFyB3Ey6S3ZawF7myY8uVLz+qb4K8bZXQbb3EtKFecO q1C+r5oj7pdnM2PmglAWm9kz7lxkqjgA328xr4z1Ddj/FuNTW5I/tZH01UN/ PvCcAr7ewOsE/PdgzwU7su8t7H1VRvYnviZ/qKMvzIO//vMf+jent9Tnrf9M /Z3zK+ovBvah/mIe6qQ+6uQT8H0d6kMSeGsfeMsV+aeKfH2LOLJDHP2EP8o7 kz8SwrWbfoUms3SM76LN1CfFZDP/PnfsL+7IYq/wnY35pxhN4c9MyONxmg59 Tcj/HcCzR4qHXwN/AexZB/s6wF6mRPYPqyZ/bGwh/3hUSfbRvD9elkt99IJ+ 1D+vmEh925e11Lf93Er9x8Qz1H8ooY56oo4eQz0IRD2oBK/FHSZeG4D8XI38 3IM4S0CcbYO/PsJfPeX7qi/zSWYqGJUxfsO8C9Yvwf4IyNsH+cWPSZ9qOOnP Ap5NwHcEeLcBf2Mt2aMJ+0q3kb2D0bf2NCZ/uKuQf9YVSd47+HjmA/l3pxqt y3xB/teBnPE4n7HQcxHntws4MnC+vK4G4fyt4cd3iA832FmD+DHh+Yv4egs/ fcDYBf57gm/Z0zSexfqX2F8Meesh/z30paI+rQQeV+DLB949wM94fqFPfYc+ tgT3gWEF5I/fXck/pt3GSdzTeFx+7kT5Xoq8NqsmPrigTHG9Up34gud1Bfjk O/JiBPjmEPKmBHzUFnnd8Iv4ygp5JzuR+KwZeb0A+RkP/8yGf2wRd474TsR8 P6wfIsWTvF7taiZ9AvSnAI8r8I0CXm30oXqwxw/3gZRBZO/6AWS/Pu5d456T f27/Vpa413KeNHGg+iOgzsTlU31SrSSeXSRL9SsIPGyD+jYZPB2P+hcJHi+T 6m+WoX4uR515jXrwDfYvh/2liKtAxNUT5OtWfFdi3gXrW7n/INcB4wDoK4T+ euA5B3wHgNcc+Gegf/+DOrrtD92Len0m+5cXkz+yu5B/ip0k3wF43f6Cd4D+ eBeIQ//4F3XfB/2U9kjqC1aGUr9lhr7hOfoxWfQVeujXeN9zDmNX2PcA9i1R mP4vbuQRNy+Rj4ZHKR+VwKuZ+G7GfG+sL5ah/VcgzxzyL0AfH3k/Kwd82cDb Gfj3oX9cPJ3sGwJ7XWF/OPzRB33hN6l3E95H7sS7SYIq9ZkM9/mTuN+X4F6q rkR96mgt6v8XjqA+dvYCuh9ko89NwMj737bA/wZxcQRx8Rj5tgX5thk85gYe S0Z92IDv9bxPx/pc7I+DvB+Q31RH+iz4eQJPMu/DcZ+pH074U7TJnnfoww9+ IXtDYX8N/FGFPjxf6p2J32uicF90w72nBffJ37gXrcR9czDuTe9wL22De9Va jEr2hM9cl/B9w7k74NwvIJ/skU+a4KkG8Oxt8D+/X+9HXd2Cbz4vD15Tx35d yAuF/KXQ10WZ9O8fRnh07AifBu6ztzBewztBJt5btPF+8bcr2R8Af/jh3ix3 VPJdjt+zWQO9X7zEPfwj3jf24J7e353eP6Jwj3fDOBD+dMO92ysv6d+5airS ufqcpHxJcaB8acQ7RSV4dgr4vQH87o+6GYq62YR+JAPfazF/Cus9sX8yeC0J vO2zifTdiCT9av0Iz/7JFHf9gXcU8Gvg/WUIxrl47xHhnUYX/pjO33+l3jH5 u8+uLvSe1lOX3oWcV9F7Wzbeze5htIM/M+DfOpzbV8RtahPlw8xQyge3RcQz 8orEMx06Ub3KKCH+no13MwHviSvRb9xHv7UK72Z6+E7DfA8VWl+G/aL3JG8L 6qER9LWH/nbIz3Hgp/nAe5/HHfx1EP77hveyFxjl8B77EO9mIxUk3335O+SC e/TOu82S3ilXYzwDf66Ef6cm0rkMsqJzeYR4Xwg+ONCLeKRZjXgkYznx89lq 4mfNO3jHxf3q4AvqJ67WUz9R8YT6tEvy1KcNxzvuy+707YD5K69pvU4l7U9C n+F/n+RHvCJ9iY6kv4sy4dmNd5sJyM8g4GeIsxmIO0v4azXeb9/Ykj/mz6PR OV/ynVz6fXznPcl5906Sfp/+VTKed0rxxI58Sf6tjZasaz0XSvYLt2Ul/18I /in5P4R3seS9IaJF8j5mLCt5zz21TPL9YP4pyXcZxzzJ966eUu+I3b5Ivs/q 9ZJ8926X/3//r9D33o0ShcBo/cGzz5oEHPthkGW4/W4PFw2jpdMetNs9dqSx 36TkM5YK3Uw+DR6s8nH9XZNi7WnFWwPsTa+tr7Het6/EtPWs+4Ly0RpmfdvO NX/2Yp5ZleqE4wfkVv33zef5er6fy+PyuT6un+ORxjecpW1KtFQQbl3t3KTy QUd0S3HTE/2scULEUlW5fI0OgkqJU6/jIheRdtE5x5FZXoK114HhS6JChG3r WuYkl+8XThc+c9GbcEiodMhv6zfoqBD/kL7XudB8+SZa/w37NSFPzobkn4W+ 59BvBjzS/ivA/PsxmhUfv1oKCz7sCd/oOkMUv21S2VBVJ5Fmdbr8fNv9wuy+ 29Nj/ENFY1RUnRXqTojOuiscGrynSLj6smrl0jm1wtwB7tH+QxuEOnxvW0/z zr1o/T4V2t8P8iZsJfkroU9Gh/Q/Bh7p890Be8Jraf3FmpfNX8XOoofrNnfZ MClUOPPFovRHTbzoxyXb0N4j0oWExbuHTHndIvSJebpoxLd+LE42PyZ+zxhW ts9n1lqxATuL78bTNL8D6z9cof0TIa95LclfCH050H8UeKTjz3kN+b8A/jsE fJsvn/qZLh8juqec6lrwI1Gw8BJdHPK2A3tcXhtv12Mc2zqp14/PZcvZzqGN Vm0eeTK5n64TXdO3syB878F8HdYL2D+2D8nbdYHknwPeAPg3ZB7hkc4PX8SL Jc5DB/YeB75XBb0mxjl1YIMVPrpu3zufde58Oj1ZO4Adiev+KrQphlW9euM/ XEhm42t1lgvLUlklvo9iXgHrZ2K/bCHJm6BI8iM+kb6WStJv8YjwSOfvHsS3 KuInGuczDfZPgHzhaI9CFb1DzK1o6xLT06nMUmafWnL4A1Z/YqzMx71l7JrK mnl90svZJ3xPx/w6rLfA/sWQV+9J8uWSSV9WP9L/8xHhkeaX5x6UjzkdKN5j F1E8daqg8+L+c4K+5Cl6d9adLWEv1PSej2h6ycqmW79eUvSGdQmrinRa+ZaV 4vs55tOw3gP7lSCvBfFwBvHr3If0+3gSHmn+s5pH/GG3kfJTFfEfg/gKxflN g3+eQb+Qu3m5rPdbtsxk/H31da/Y/cBn2fozqthyfDPMV2L9FOwPgzx/yH8G fZHghxInwiPNz9OvE9851xCfTEe+nkI+VCDePuA8S+AvB+BJyStVar1SxELS 6j4Gz7nJUvHtiPnHWP8R+59D3h7I3w19N16RfsO7hEe6fhhZEz97qRP/+YBf NJG/k5AfSYi/zjjffPiP49v+7sFw49JYdgTfDzDfFetTsN8C8rpCfiz0tYX+ 83aER7q+Lckl/Ltekz0OsO8Y7OX5XAd/FP3/8Wc6vvn8E6zn58HPZwfnL+jb D39W35P0Jz//14spHow3UHy4I16iET+RiKcZiC+eHyZS8XkH/uP4ePzyfJsh FZ+cX6ugLwHxmSIVnzyf1m6g/PqFfE9Evg9CvndDfroiX68gf3k+8Xjl8VAs le8pWO+O/XKQ9xv5/pLr60r612yUzHfOT30fEl8xJeKvxReJzwLAn+PBd8bg vzXQNxX+eY/zTET88fjg89y+sdhvDHmGkK+MevyuD+kXF0jyJ+d7c9Sjk1VU D2I+U31QUqJ6sRf1wxzy5eGPcJzfM8SbgPzg3wcxz89jHPZ/QX3r0pfkn0f9 W4p6WFEiWY94/azeQPV0ljfV17eo7xtQ34uB9xfqx1ec1zrE12bkQxvkry++ vTH/F+sPYL8x6vEtyK/g/QT0J26UrO+8H8lBf1KI/soc/cs57O8A/y5EPX2F +mEn1S/VgF+S8C2H+VCsl0+i/eWo59sgfxL0TUa/ZC/VL/H+rhr9njn6vyvA y/unLoiHPqj/vqoU7/roPxej3zRE/7kM37cxP6o3rfdA/d4EeU7w30HgC0f/ myjVf/J+eSH653YpNF8Ie6rR7+1D//IX/UoU+vkED+KP6iLiu3nLiZ9P4FvJ jeZXoV4no7+4DnnuHiR/J78/AF9HqX7+/5X70e9nw9+5dptjYO249XDD6D9j Z2Lkv2/T8Thy10xD1Gx79LnmIG3RkooxbYqtDxvO19aR1YiZKPj2/bbEZsNk YeCr0kVudZeNtifLljyRXSjSGLZW9XrcbNHz0TrqJYYxxgZRb8V5YluhXrXx lK2jo6jLhQcqT4PdTe6qO+zuUuIttPvdrVtawWbBZYTtrnUOyqY9ai/4hb4M EV08paTQ/rGvkKtpp9c99qRp8taELQ/NPEQvejwWW+bOEU4pjtVrtGhjpjmx Pqd61wlBtNTeaMF3R5Hs6UhT+ZHjzSyufR871y5eODTrZOLjIy6i9iYPw+/6 OJqtw++bltN6/vtlyJn1t/SffC4n24P0Np0gPFyvL3BuBH6OMw12lcNebtcF +GEK/MP9cB5+i4Y/ud/84ecFduR/7udcnIvxcjovfi5jlkueHx/5/Cecowv2 Tx763OTnzMnCdIzb/lcQ1MvsRS9Pf18wsGiR6GhpT4dJF9cJ8ocntWywthJe sB7+nxbYCOeveX7Qb/AXdj+bfrzkeJzI+th2Zp4VItqWefXPyb2pwp1y+eDG zRGiaSH3ez45+1AY4v+76xzfeOF20LUbhukvhH4/Ow71+nFD2CQzdNqUm7WC t65rwd2QPGEDvh0x74f18/fQ/uUHSV5pGcnvkUX6qqF/LfCEAl/sWMJ7DPg7 PiZ71GPIvjOwNwD278J4A/6ZYycZ99z/k3FOFjifk/DXdshLTHTSD8hyFTom 0fjoatmpd/Pni7YXjD/v6LFWmHKq7+qDC2NE64bXXD23P0HUMsvNODjqvtBz t03dhI+Jgkaxr6X9xgrB0EWr6uKXcmHIhynXtHTlmezs0Psdzn4VVCrH/Poy VOt/9WlW799f27Ht3sJhHabP9tlpdTpd14X54rsO84ZYf34W7d8BeVGrSb4c 9H2A/m/AYwZ8BScJ74mHhL86leyxgX2dMJ6A/eXwhy/8EyDFEzy+22tRHoxH /F8LpXPagbizLiJ9U6+RvsEbeukFjjgjeuNBo5zVxVUN4XnCzPIt9wov3hUq x5iO/33gtiAjk5Ncn1Up2K5d/7l95BhW2Sm61ClMmbVpaC43y7Vl5VfEYgVr xkbMTv8VNMWd7Zw36dkoV+v/3ZPsVU3ObGU5ynurew+0+9+9lL59MT8a659j fwfI69yZ5LtA35C/4n/6Y/UIjwrwzZxNeH2A3xmjKI3s84F/H8P+hkPkjyj4 57OWJK9y/hjZj3gm6DjxyznE/5RxFP/GOEcNxF3DU8JTDDzB5zqojRwbL6gf p/G+5rvCj+rj2LFS0e/S8UYs925x3oLfG9nAsxMGFvR3ZrI6d7M7BoQz9Q7N 4vBmf1ba7+2NvMQLzFZrbZ9lu8OZzpYI9VsDrjGnnVl7ZRdG/fc9H/NPsH4I 9neCPB3Ivw99d6G/CnjuAGdkIo0zgN8O9sQhTtO0yd7RyH8L+GMv+DdKqg5x fr7YQjz+Ffw9FLziBl7RQ35UIz9UEGda+nTOF4C3Enj98810bZ5vZYcwxpcH Pjiz8yxz6VW0cbtGDDP8sr7ybtdcFjZ63eATCplsqM3MDUb5j9gSu7SWNy/u MPldcUuXtylnZ3p1PLxV5/5/34sxz9cfwX4uzxXyz0Mf138EYwXwFQKvngHh 9/lDcXsA9kX4k70jYX/gcfLHevjHtVWybvP6V3WM6uR81EerYuLrR6gP2s7E OwbgHQ/kjxvyRw1xkIM4WAV7uP80S+P/+pfeYVoY3zcuebNkynOWdNBWvdvr p6zhl78492ANezAigJ3a/5LNCW+Qr134lrl6dfK7Nuz1f9/5mP+K9Vexvxby tKX0XIF+N+C5B3xGwBsI/N1gz9Misu8XeFYb9Ur5KfnjIfxTeFKyz+H9RdB5 6kOGrKb+oziE6mDpfqqDS2YSn9eAz00SiZd+fCFeUkJ+tUd+HUScGCFOuL/e wt7wH55hO1Pf/DcOfKc0YMKfGtbX4YzpOo23bP2nzVbpC6vZ3tYluWbfatgG fPfDPF9/BPuPYvwA+Vegzxj6Q4GnDfBxPlAEr1aAZx1gXxjqlx/6gKBA8oeu J/nH53upRF/I+7e2sdTnBc2g/k61lfqLmYHUX+Q+pTq5g9dJ8P0g8P0c8NZ/ PIf800L+3UMcfUEc9Yc/1OGPwY/XFibJVLABGL3Csksiy26zP0qaO5bveMS2 4HsI5jUwcn+qQZ50XPP8XwQ8xcBnA7xjgN8f9pjCviPoC3qiv0r6Rf4YM5n8 E7tVso/m/XHMPuqj+2ZS/1xrQH1bv7+a//q2DbbUfySh/3iHOmqBOsrrwWjU g2jwWlfwmgvycxbyMwhxxuOO+8sT/tp+06bNqjOJzBujD0bu3zZ9aD2P02DI 4/nvBn3doP808IwEvhXAOxP4b8KeCNjXCHsLYL+fPvkjMY38c9xD8t7Bx84h 5F+XdFr3ooX8fxxyVHE+kdBzGuc3DTh4nR0DnPz8uR08HmfCzv5S+TsI8cX9 KO1P7r+tGPl67kcuzxry70Mfr08cz0ipum8p1U+FwT4ej6WwfyXiMRN+VPCU vKfxuIzOp3xXsKS4LdpPfPAJef0Y/OiIuNdIlOz7eP/C+xFeh4chrxLBV5+Q d4fBZwN4XmLkee0B/7QiTvn3QKl85iPnR+n6w3mF4ykCvkHAK92HjoB9h8CP m5DXe8CPn3GvLfsuea/lPLnvONWf0rXEo66PqD5tPUA8OxP1uhw8HIT61h48 PRT1j/dxvL8xA88PlarTNRi5PzlvqiKueP4HIl9n41sF83w9r1PvIE+6bvM6 txZ4OgKfJvD+hx/2nIF9MqjXVbD/eCn54647+acsSvIdgNft3z+pH5r4nup6 egT1S+8zqO6n+FE/Nf8R9QWD2lD/uAF9w0X0Y7fRVwShX7uIvuMsRt6P6MM+ HqdDpepRFyle7SrFD3w9r8vcX1x+AvTx8TDwcHwxwGsP/IvRD19CX7dqF9lr hL4vKpL88RL+Gd0i+W7C+8jJuM+I0GfGo38fjz60E+4zZ9Gn3kT/3wN9+Kkk uh88QZ9bgpH3v7yv5H0y7494vhUg3ziPjZCqVyOleLcQ63k/0xbyuPxcqfN8 DDzPMK6KIbzeOoRfA/fFJti3D/Zehv0N8IfLQPLPoX6S70z8XlM5lO6Le3Ev HIn79VTcCxWL6b45A/dCP9yvq3GvGoL7tdxFwuerS/gycO4bce7ayCd+v+Y8 NQw8ZQ3+nwj+t0ddnYxv3l9xXlbFfi5vMOR7Q9816H8Pf6ngXqgFvMMwzoI9 O2CfIez1HU/2j4c/lOGfN0Ml3+X4PTsM7xc+uIc34H0jAff0vnj/aMY7jzPG PtDP7913EKepOFdvvBMsRb58wjvFNPDQNfB7V/D7NtTNTaib2ehH+PvPDsyr YX0h9q+DvL7guQrcSypx3wsDHn/ga8A9uiPwe+L9ZSHseoj3LSfYfwb+mAz/ zJF6x+TvPhPwnrYR70Jb8N7G341iMXaDP49D/s9COrf+iNt2yIflyIfDuJen g2d88G7mh/fHgXg3G7CP6mLHCuo3DuG98TjezeLw3Rvzmaijz1BXrXHvuIn6 MB73OSPckx2B5wneHyKBdxPesebBnkj4bznsXYVRF/4wgn/qbCXfffk7pCXe eZPwTpmJcTf2+2F/K86Fx20HvCddRbxvBo88As9W4r1jNu6l9hVU95S8qe7V 76J+YuF46ieuNVOf9iuF+jQ5vOO64luM+fdYPyiA9t/dSPLkcA9Ohj4XvC+8 Bp6VwMeAdy3ylcdZHOybAHuNYf8m+MMLo5Wj5Du59Pt4o9T8Eqn39jipeA7X kuQJsdQ7f5DU/wG9oiX7ha7qjyX6MH07yf5WmCJ5bxg3X/I+9qeL5P8fJ6Xe D3Sl3mUqpN67Xg+VfEe0l3qf/ST1f0+I4//9vwL+R0rB/0rX8D9TGv53Ssf/ UBn4XyoD/1Nl4n+rTPyPlYX/tbLwP9d/33yer+f7uTwun+vj+jkeaXxRm4oX m3tpiPoW/35zzklPmJj72kqvbqAw96PN8NIRbqIDF27qpg8JFrJl7cZ5ZYYL 75+0L+qq7SfKscg7vC93q2CbOOFY/6p0wflgN8N+23KFrpfpO3EpzTuLaP0s 7A88R/I21ZF8qwuk70AJ6Tf2IjzS/ntfRPMd7I9NrG8eKrJ/ZH6394oVIu2E TuEOE0OEt0/kFo5efVb0+05t79/3E0QKlyMPNAaXCIbZL7q/tK4XRO8VVd78 bhY0fio6Rfb6KxzFt1oGzctcoPUxt2l/bgnJGxdP8t88IH3nPUi/cinhkT7f xFtkj2IJrV8erLU+OCxIUHG/oLW//rzo1IdhYpdLN4V0/dbcj2s/CbMKdi8u je7ODCpWG24+NZq1qt19f/HcOHaiS9eakvTJ7B2+bTAfW0jrf2P/5jckz3Qt yT+/h/R9LCD9KVcIj3T8tcD/ObDPHPttUkq2DrW8I7Qt3/JntLtIuHgg6aaT giabdqp7u6vXbVl7qw83Do/awGSUY17v3LCTNZkfyf/auJt1wXdPzJtjveZB 2m/ZSPI8Id/YlfTtOUf6Re8Jj3R+TEb81eB8i9+TvUOqSJ7Ojj579izSYxu3 y19/0bSO7R0UHhEzLYStUWlz8snTaLar1+snb2PPsrVz1rJepvEsFN/rMH8c 649gf7gPyVOqJ/nt3pK+glLS3y+e8Ejnr7Yc4ruI4meEMZ2PGfx3EPIHjDEs OvQmnEV1X/ZpjVo88yvQSD0+IZbF5i43Pu64iY2fkxZy83mg+Ngd+k7BvBfW G2F/JuSdhPwAA9I3/x7p92hHeKT5ZcxdysceiPdYxN9AnNdF+CMY+nbLio39 2h9m4Sap7JtRiti8ZlDGqB054q+XTm7v8jVH/Pk1fTPML8D69dh/EvIMIN8b 8asG/fY3CI80//l+u/OPP35dp/wUyin+DRBfDji/S/DPUejXL9jSNLlFLP58 v+Bp+JCT4qDCpJ8je4Syqnz6PoD5/Vivhf1cXsNskl8AfZ3BDz3mEZ9J87N/ LPHd4g/EJ3uQryrIh2WIt0V5dJ7d4b/zwKP2W62uyiSD/awZaKE/P5PNw7f8 Q5ovhH9rEA+BkNcD8qugzxj6x14gPNL1o3Ef8fOaFuK/eeAX+bGUvyuQH6K5 FH/NON9DBeS/X8C379lDty3pSazdG/o+VETz97BedTbt3w55nSF/IvTNgf5H QYRHur6ZA78t+Pkh7JOFvR6wv+4G+eMP/NOK854J/7UBvlH4jsd8P/j/Bvy5 AvL4eWVAX5860h8dK+lPfv7V/hQPhpkUH5yf/yJ+NiGe9BBf+oi3pYi/ZuDp DP9pPqDvHpgfiPWpUvHZC/FviPjsgPyofndHIj55Pt2tovxyRj1chnzfi3w8 jfzchnzt2Zbydz7018K/33G+n/BthfkRyHd/7A+HPA/IV4I++Uuk/32hZL5z fkr+a/uPr+yzib/C9IjPmlA/gsF3M8B/O6BvG/wThPN8aEXxV4TvZ5gPx/rZ 2M/ldYb8L9CXmkP6zdtI8ifn+xD0L/aoB9NqqD5srqF6MQL1Ywfk74M/1uP8 7BBvO5Afrvheifkovh77PSFv6XeSb4V69Av9STepesTrZ99PVE8Xn6f6+mQd 1duITKq/8R9JXscQsn8pzovX747Ih97I33b47oj5NVi/BP778J7kFfD+Af2O gP7s1kfJ+s77kZos6k9S0c9ZBFH/MnwD7e8EezV16Xy+PqR4qkH8JyBffcEv KfhOwXwa4q8dzjftHcmLQ79zaR/pu1RM+jfflOyXeH8Xg/7YfDH1f1pYb3GB 7EtGPGSmUfwEI96Vsyg/V4GfBfDftFr6tsZ8/UVaX5RB+/PLSN4r9GeH4Z8U 9L+viiT7T94vd/Wk/vkL5sPg331fyP+DEC89WinflMspH8cMIj47fI74ziKY +Pl3PH2H6NG8TAmtT8T+E+fRz9eTfEX4rzv85bpJsp//f+V+hPvctZ+7c6b0 NhklGuJPI//9uuKtObmTzATTxn2K3TuME3AvTM1ID5xVE2khKv87v1Ajz4Df l9PaGjaNVX4yTxQrX3dt0GEnfs9MVwtODsyt3iP4Pe4ce+boHgH30YyNR93H VcUfFVnoLjzk+d2D31szs0e21buYtls4eGnlVPHtYyLcbzN7NLot9F6eIoSN Gu0apLFXhHtwVuXH/uMdna8IF3WLauNuRfL7dZbnUHPndrcThfUeHZ60Wx4r 4F6dlTiMfg8bTev5717vSU56f5LP5UR/Ib31ZwkP1+s+jHDeHU34Oc62R8iu /BKyl9slv4/8IAP/cD9E6ZLf3Nvb/vMn91tyJvm5Bv7nfu6jROdiEEDnxc9F PUDy/PjI52Ug5wHOddauGXve/Zwg8sJoM6QpVnaIpehO4JzOO6bPE/1Z/kvL JChAiP2y8Y3x1L3Cg4aUFy5KCaIneyz7qjrHiJTVIld6K1wXZEwc5qmtiBXV ewg/FwXeFjLyH2RlH80S4p+wmJ5LbwsJGTuDdobnC96NZfcTFL8K+nrq8ibT CoX6W3v2apTIsJsFC7cc9CwWnPBtakDzRlj/PY32335K8jbfIflWG0mftTHp 36pKeMYGEL7mL4RXBfjDHcmeot1kX2x/sneVP9kfgXE8/PtBKu65/3f+obiv QR7M30vyKgeTvG1urbm/+wQIahhTTI7FrI4/L1LJOd71vs15kftzdq3Hgjzh W5Oy15QV14UizbEDDrheEHXJ7HFOw6RE2Clf7Dxp6E9BddyLngX9XwrW/ec1 y3lrsg2eS9vrZnRkIVFxD1/MMGVrHkzYlP+2H7vRcUrZgpIJbEHZ1cpRlwex x/h2wfxyrJ/qRfsVIa/tBJL/pAvpK88g/fHdCM/FRsLn84zwpooJv7cx2RO3 huzr5kpjDfwp8id/1CB+y2VtJXiCx/dw5EG9AcW/Is7JaAWdUyL07Yf/lCeu 6xxzK0+4hTFl5pDRi8Y9FTn10HU5qpAvsvaTfWCp3pupD1nTdKj8lzBv2Saz 4cOmsZGhVpuWFBuyfgvbFfRtWcV+BJ7YNmDZXOY+ss2iYze2Mq1b5crxQY7s g9XDLbd/72L7dr43cq5exd7j2xDz/lj/CfsNIG8A5AdC3+/BpF8JePp0Inw5 wLsG+P9MoDEI/hwPe38gToXP5I8a8MODzpK8yvnjMHjVHPyyAPk5H/kqgziL xDl6yhOeaOAxNDaYePhEHzYB4/fEReoPwxew67eSlL9ssGHfVnmtbm3yZYuz 9q8N2+jFTId7uL9bHcHMnB9+YxX7WXoPpc+xHrGsdk/J60/TI9gGA0vRcq14 1v/Y+48dB0Yxf3xXYf4G1jPsFyDPBfJboO8+9A9LIjzVRoSvAGM68Nt0Jnus YN/k72RvCvJ/MfjAJ4j8o10qWYc4P3ubEI8fCCf+7jaWeKW5H/GKQTblR4++ lB8LB9I5L8c5FwBvC/zXJ7e4ZNqv3UwB4/ZJw6q3q8SwLjeHPygsOsUezY48 9vVEAotLHafr9SieZUY3+zXZRLCcML/xC5z+d095Lz9Eb8xO8YLXOeerup9l ivh+hPlvWH8W+ysgrwPkr4U+VejvjVEf/qwC3tadhF8ZcdtDkexrBR+NAK+q mZI/qsPIP7FSdZvXP/MEqpO7B1J9bMkjvn6wifj653jinQ+diHf0kT8RyB9H xMEfxEHTDbLHB/bktmwdIzc/nh3GuLnNe/sEkyix9c/5droTt4pPrrhd2Oh0 XZy3rK+77MVk8d17akbP5W+IH1jXF5rtSxffwvduzJ/F+uXNtP865KVC/lWM /Pz+AE8r8DkDbzzwa8KeB53JvtXgWS3YvwP1S3Eo+WdPvGSfw/uLFIH6kLtf qf94fZ3qYJ8yqoOrNhGfa4PP1fYSL40AL+kgv8yRX7GIk7eIk+ctZG8K7B2y VCdFISZHbIxRQ+ed/AuNa2LZWdo9373JFk+OeZ8r32k7e2bh9cmk3TWx5ln6 1sb8jzG0XhH7B2NUakvyLeHfXOg/Cjx6wDceeLWAvwk8m9+P7LNH/aqG/TPS yR/nG8g/poMk+0Lev/UYSH2e6nfq7/LNqb+Y95X6i833qU4+Qp1cAr5fDL5/ DN7KBm99Qf6FIf8SEUd2iKMt8Ecl/BE1+1f0ruGXWDHG9Yk5lSHfMlmh+ukd U/PS2D58B2I+F+M77HeBvMOQnwt9HU6T/iTgyQS+J8C7A/iNYM9S2PcS9jqj v/plRP7YV0v+magl2Ufz/vijC/XROdrUP18upr5NGX1bxWPqP16j/7iKOvoM dbQH6oE36oEZeO0PeK0R+XkG+SkzjuIsL47iLAX+8oa/yj6nzm9ZkMKKMPLv QMxfxPpK7G8DeRGQ/wr6qt6S/jnAEwV8HO9r4L8Ie9rIkX0vYe/vXLI/+RH5 w3kk+Wevi+S9g4/1uHdkDqd1qwzJ/z3hx7Ho28rhR4bzqwSO1zjfLcD5EOd/ B37kvHcedoYjfm4jX90RX5vhp10YC+A/Ho8+GL9h/Xn4cQTkxUP+EehbyM8R eHYDXznwVgP/NNjTAvt8EI/dYL8c8nMV/PNFTfKexuOycSDle2wNxe3mVOKD PMS1JvjCFHHfCD7ZjLxYBr45h7w5CT6KQl6vAT/OR94NAp/JghdfIT8j4B8e p1cRd9r4voL5P1jfgFEb8rZBfgrq13nojweeJOAbDbxuwK8Mvr8O+zrjfvAK vHYA9cIcvKdrIXmv5Tz56DLVHzvcr0c+oPqkgvtbqwXVL2PUGTvUNx3wtC3q nzF4/DvqYzl4Phb18zLqjBijHuwPgv32iKs4xFVb5GsGvvthfi/Wj8b+HpDn hvEe9BVAf0/0QxOAj+MdAvyzYM8A2GeLe1dlKdmvivvsZdThFRck3wF43VYe Rv1QtA7VdW8D6pei1lPdN06nfiqmK/UF9hrUb4WgbziNfqyXE/UV/dCveaLv cMEYyf0J+3xRVx0QN9HIxxTk42vwnFItfUdiPgDrsxB3DyAvGfK53m0Y+wKP LPCJgJfjn4B7V2fcX4fjPim/gewfYkT+cMf7jtYIyXcT3kcewLuJEd5RvvhT //4Wfagt7qVauKfWd6D+fzr68M+4H/A+dxJGZeDvDPzdERfjERdpvA9Hvn0F jwWDx+aiPuzDdwvmr2P9NeyfDHnykK8AfWrQbwg8Bhj3AG8V+nAL3BftupN9 /rC3EvYb4z5jAv88kXpn4vcaoSvdFz/gXijXQPfJAV/pXlSG9wh1vEd0n0T3 0eFz6F5VZUVjEfAthX/34dxn49wXIp9GI59GgKdWgadKwf9Pwf/dUFd5PXiE eQes5zynwfMT8jdA31GeJ8BzHfi24j54BKM37tm/cS/8g/v1ZtyLU/De8Bj+ 0egq+S7H79kzZej94gDeKTzxPuaBd4oDeOdZgncK/l6hN5n0m70g/cdxrk9x v+qhSfkSBD5YDB5qAx7i7xQ7we8TUDdl0X9cQD/C+4SpmHfB+r/Y3xHy5kC+ OfSVIV/dgcekC+HLgr8mwn/crm0YZWDvTbwPHoI/UuCfnngX5v7j7z46eE9r xbvZVLw7ntekdyNPjOqQPw7+vXmDzu0N4nYw7vcPcC/fmUY883sd8Yw752/c Ex6jLgZ/o7oYi36jCX1bK/q4ueg/hqH/mor1idh/C/XwJuT3k+L158Bj9IPw 2SPOChF3r+Gv8bBvBN5b/fBuOAP+EME/baXeffk75Ey803foTe+Un/Ce+92P 9m/FfgucSzPOZfRXivdXeI9fCx4ZjfeOVD3i5/dGxM+tqHuDUPf2ZlI/YfEZ /YQp9Wkf0O/G4D4QhfuBoTHNl3yh9W2xvxL3tTaQn21A+tqhXo4EnoF4x/JD fs5Cvt6BPa2wLwf2WsJ/6fDHKYwfdku+k0u/jy/1l5xXlfJ7tozku7x/N0me 6FQqyb82QyTrmvclyX4hcYxkHxYxSLK/VV4jeW94pCF5H5s4RvKe63JB8v2g cYjku4yh1P8ue6X+nzn0R/J/nKZvku/eNbv/7/8VVjxc0+1y4zH9eTZuW+Ld vhoY7zbr675poNF8n7VLisuGGn+0zlxiuVvOJGWK9a+Wj7kmcqPrbil+XWj6 SrPS7kRloenViJ+Hfk4aaHb/EFN5UjLHbJhK08RzPxz+++bzfD3fz+Vx+Vwf 18/xSOOL1zEbIHZpK7R7Fde2W39t0fepQb3e/7YQPM4Y+v/VtRANTY2rG2pm KVp4/oZGrbmvsKJadcPWc8FCu7WvOs4UhQl1rv1yIurjBOFqp1Q18SVhjBt9 P8N88Uta/wb7x18leXKQvw767rwk/XOBR9p/44FvVE5Tz8TsKcKs0dM/DHs4 V5T4zMF9/oChotrQTeKFR72EFP8Q1WTnI6IDzfMOxK6LF1R0j1zvWlspPL3x zSlS+5vw5ZGy7Dndn0ICvuN1aF63idZr7aH9ESEkT72c5HuMIn33xaT/BvBK n28y7MnDeo9rm0pDE6eIRiid8e3c01fouu7hz5DwUJFMxuPcleUlQomew1DH Ex3YuWDlrof3abJCkcvw0J4mLOBvwNK/0yzYQ3xfwLysPq3PwP4yN5J3vTfJ D8wgfXLQvwh4pOPvLvy/uYDsy1Gk/VPN1q7602GF6HJs+eMLE/KEzOnmxkt/ K7O+w+T3TUmewTYbtlZ5hbqy3ktPRAYH+DDrnNbCSx67mDK+fTCvjfUZ2D8O 8qKHknw/6FOvxPnFEB7p/Ci7RvGSjvONWkv2apwleU/rx76R+6PO8jwSvOPi Hdn5CjvrMar72eqrx01vrzzLdGPUbR97pzAFow3DFuWkMz18u2I+HevfYX8V 5HkDb9ka0heGeFBB/Ernb1wCxXflboofQ5xPHuwvh/xOt9RvPvsVzqyCYi57 /ElnZnMMOlbsfshOmh5ZPCC0jNW+337LMbCcncK3CebnYn1P7K+FvK2QfwH6 5geS/kkXCI80v1x6QvnYre38f/E+FvFnhfO6BH9YQt9BvQaF1U9L2Dq5WeGt Xi9ZXtaVaePav2FhCzaHVoe9YXfxvR7zYVg/D/u5f8dCfjX0rUV+DgWfSPNf gSPxh44B5ecwxP9xxNdKnJ8x/LMW+hvz6uUtU9+wWTZ2dnWmr5jN6u/u7hur mDW++TzHa4j9PF62QX4I9PmDPxRcCY80P/dfQXwnn0t84ox81UM+jES8HcN5 3oa/rICnosVtUMTbYnaqt1JW5x+32At883nuXx4fOpCnBPlx0DfrJum3Xk14 pOvHxgTi5y2lxH/zwS+rkL9KyI8axN9hnK8V/HcS+DbufTtRxf8iO43veZg/ ivU8fnm+zYd8V+jLKCH9gy8THun6dnEl4X8Ee7yl/KkP+6Pgj1vwz2wpf3K8 lfjm538P609g/yjI6wn5F6FPH/pzpPzJz1/LieJhhD7FxzLESyTih/MLz1+e P58QfzOBZxb8x8/7m1R88v1OkMf51Q/67iM+I1wk45Pn06enlF8D2lC+L0D+ bUQ+XkV+zkK+7kP+8ny6A38dwvlyf3N7DmO9DfZfhLypkL8V+q61Ur6vei6Z 75yfbp4jvgrzJf76kEZ81gx+K5Piz5nQx/P3OM7zNeKP5wvnh9lY3w37SyHv HOSvTSd9E3eR/nYJkvzJ+V6MemSHepTrSvXBLI7qRYePVD8eQ/4V+MMN5zca 8dYD+cH5YQXmk7Ge769BPTJAvctGvVc6RPo/pErWI14/3U5TPbVoovr6GP1H 9UKqvy9Q3xJgvwnOawXiq6tUfe+F7y2YZ1jvjf23IS9sGsk3Rj9i8Yr0tz8j Wd95P3KG93/oVxRTqX95C7w/XcjeOzgfJfQ/RYj/EuTrfvBLGb7TMJ+H+FuP +pgCeWLg25pM+qKgP0mqX+L93Sf0ewroP19hvVwj2Wd8kM4jB/Vf+E7xfnIM 5edB9Jst6D/P4XsP+s+dqIeGAbT/yAGS9/4tye+GfrcK/We/V5L9J++XU9E/ m2K+GPbsRTwYJFO8vEN8R7ymfFTwIP6wWkt8p4B+fjX6+RvraP5nFa335PeB RJI3Ef1bFvTlwF/HpPr5/1fuR2duXn4nLpxusO3u7oHeK79cT8LIf/dICV7q +7KnSLA38V08VEmk3Kyb1d/voOGKtMFrvWIFQdH52JaDKuOFbYvLZ84xSDCK SojKXdVukahNr2/5bt/niUxsl7vLXz1hrBdxb+jLey7C9U1lNV7OXUUGW5zW bvrtYpKXM+Gw7iAHQXTwRKuf+hbhbtug0UHVvUw3jVk07FZLkChhU09v+4Hr hOHxpQ0DWyJMOx4fPV7vTIDw/OsEkekQY8HlhtOdwYN+m0Yse/JrUsJZIf/d 529rktYIAadMZqieGWvW7bna9UP9k4Q9N7Sqbj/fKJy+2LbKQWupWfkz+n34 R1rPf3+4lOSs1pz4Tz6XM/0Y6a31Ijxcr64O4ewXQvg5ThPY9c6K7OV2ycAP NQrkH+4HX/itHfzJ/WYFP7vB/9zPW3AuiTgvfi5hUufHRz4fDDlzsP/XqOc/ kk0thI8Y2eGHJ66q24v8H1uvUQtaLHJ3ePJbUdZTcDCe4vSJOQtlfqe7D3H1 EU3e6Tlu8U834eDkV8ZP7Q6LaltfhfWSCxPpK4uCTq4XCVMHPUzZ9dFWyB+r FrbGqURg28svmg9KF46Jeu3KTnovqF97e2j/znwh9cm6S/vGfxcOZVut3PGp SEjH98sUmj+A9eXetP8a5JmqkPyb0Lf2D+m3AJ6kHYRvJ/DOA34X2OMO+3Rh bwPs/41xBfyzWyruuf/rneicGM5nOuSZQN6cSY+yZNdtFLZi/J6XeGds+G5R 8OXVwTMPbhJ1SC0+8rdhnGjZLMtpxeURosDX4rot++4Ll5U99x02yhH22M6r 2X/2o/D0QXSPOKdXQlPUyrYaM/qyscc1w3OD/go9Il+mMi9d1mmmU/wfcU/2 IDJzaXnpWPZ894ApOiZ92E1898a8PNbPx/7fkNf2IclfA33D+5L+aOA5NJPw OaURXivgb4I9zrBvBMbhsH8M/GED/3x0kuQJHt93kAerEP/aOCd7nNMy6Bty l/Slro/f82vHQpG2B41VurXLdzndEAoCktoEONwWbnX5Fv3U8Lcw6fKitJxV X4W+IVZPO7wzZ0kRK/T7tNdiNxV7zXEe68DmbohX1m6eyhrTgz/LTfVkm/qM U52ovoj5rnJJe3JtJwt80rYsfYUD88P3esz/wvqZ2J8PeWmQbwZ9XaBfU57w HAO+c8Cr4E74bVfROBr2ucFeC9gvC3+sh3/SFCR5lfNHK3i1/ijxy2zk50XE /2jE2fgLdI7Pgec18LT4tvv80eSPcBljt4gLi+VmzmRvTxwbbe85iaWM3Tmj bIs3O5346vrB2evZpEU/y4dHHWc7eqbNy1sazIzbrXSryL/CVPofUTlz5DhL W5Kxw883ja1kqc4PFU//990f86ZYH4D90yHvIuTnQF+nk6RfH3gG7QQ+jHeB fyDsORZF9nkgbvfAfn1f8scr+Md6sWQd4vw84wDxeCP4Wwm85g1e2Yv8PIf8 cMQ5q+OcP8NfmsBbV+hjM13Gj33HGOn20Gj2iPOsdoG90a5VcUxvdkb03Mm3 /ndvGBiyyiebGdR+eZ8nX8JshWj9aNm7bOrTvZM8XjxlyevbB24yfMCm4JvP 62N9KvbrQ14d5EdB3w/ob8I4HPi6w7/dgf/bJbJnMuxbDj7YCvuLwbMN8M+u EMm6zeufhSPVSRnU8Zvnia95fSi5T7yzG7zTIZLyRxf5cwpxcBVx8Br2HIc9 HtnZ16/9zPtvzJGbGOPz7hn7u/dPgsXtpyylR/asyvLXTLbkffG5Pi/Zj9/B /m33vmHF+pFj00Ne/ffdFvOpWN8miPbnQp4n5PPxDPRz/2YDH4/becBfCD4Y CftqwePPYX/b4eSPo+gf1m2U7HN4f9FydPy/PkThDPUfS/yoDvqbUx1MjCQ+ n36C+NwPvJQNXtqI/JqK/LoiFSet8JcI9tb+OX4hvLaGfcDoavorZ9bmGhYy b+u+7PVv2Fej6/Ynl1WzN72t/c3W1rBGfIdi3g3ruZw6jLcgn+szgP5k4JkM fLuBtxD4Z8Ge9rCvLeqXH/oAPR/yx6go8o9jumRfyPu3yeeoz6t0pP6uQwb1 F2uvU3/hMoPqpAHqZDT4vg583wu8ZQDemieVfzKIo6uII+4v7r8FNxMunU2o YLYYV97L99TcdZfFLi68F3O6hK3G90LML8bI/XkY8q7xOIU+rn8+xyPFw7xe bYE9SrCvDPYuQX+VkUr++I0+OvKhZB/N++Opx6iP9q+k/vmOiPq2P2XUtw1C /yF7jPqPaNTR7aijTqgHGagHieC1SeC1QuRnI/LzLeKsAXF2Bv5aAX/1jG52 qmpIYQoYFTGuwnwc1vM45fK+Q34J9HGevQo8qcC3Cnh5H7AP9tSjv9oFe2eg b71znfyx/AX5R/2y5L2Dj8+vkH9Xw49z0sn/fSBnF87nF/Qcl+pP+uJ8M4GT 1wNL2MHj8RvsPCiVvzweuR+XY+wB//H4dMLI13/H/kOQ1yTFo7w+2QHPNeDj 8bgL+DfCnhrYx+PRAfbvRDx2hR+vFUne03hcBihSvj9yoLgN9SU+KEVemxwj vhiBuN8MPvmOvPAD3/B+5KpUHf4NvuJ5/Q58thp56YJxHvzD/RuDuJP2N89n PtZDnnT94fp5X6ALfDuB9yfw28IeRdhXC3tnIa8zwY/d7ck/9iETJO61nCd7 raL6U3iKeNQ6jOpTf/DsX9TrseDhnqjXd8HTMah/M8Djb1EfDcHzG6Xq9HWM 3J+8XvM45fn5GvkqHcd8Pa8zNyGPj17QpwP99cAzDfjOAC/HX4F6rQb77FGv 9WH/q+XkD5mT5J8IN8l3AF63LwdTP1Q/kuq6dQv1S5VKVPf39aF+ysmO+oIq 9I+m6Bs+oX8Uoa/4in7tFPoO3j9ugH1jYN8fxKkh4obXh8nIxyLw3GQpfuD1 g9dl3hdsgvwT0Mf7SN4/8r7nC/COAP4tsOcB+h5d9MuJfcj+9N/kD/vR5B+L A5LvJryPVAyh/nzUDeozU3Gf2Yw+dADuMyvRp+5D/98efexo3A+00OcOxcjx pwH/B8QF74/SkG96yDdbKR5LQn3g33ZSdTcF+/n9iPeJmVLnqQ48HB+/d53H /VUMe7bDvouwtwj2/4E/tsM/Afsl35n4vWYM7osrcO9RN6L75IyddC9yuUj3 zd336d7UfIDuo5f16F5VjrE7/PkQ+L7j3HncnkU+3UE+cV7lPNsb/L8D/L8c ddUH37y/asL6bdh/R4pfTKDvK/R/BJ6hwLcAeIMw3t1M9uilk32Rl8jeQbgX PoU/8uCfJKl3OX7PVsC7nAfu4a543xiPe7o93j9q8C5SiHHhbtJvl0P6rXGu FjjXVciXKuTLVfDQM7zPGIPfZcDvbqib+aibvB8pxbcX5uWwfir2dwSvPYV8 T+jrBf0C8CgBX/9LhHf7VvgP7xP9MHJ7rWH/IvjDG/7pIPWOyd99juM9bTne heRGS747TsPoAvnzIf8j4jQDceuM+70D8uEEeOY9eGYy3rUMBOJvMe4NlaiL CngXu4l+4zH6uKv4VsL8bax3wP7DqAelqA9GuM+9hP6PkwhP6QzCNwZx5o64 4/5ygH3asFcDYx3eHyfDPwFS7778HVID77wheKdMxigPf4Zg/0Gcy36ciy/i PRrxXod30kjc5xPx3vET/Gza/OBf3WsNp7rntY36ia54J9+Md9pqvKdH4h1X Du/uOZjfhPV+eMd1xDu+Ju7B/ngnGIz3BQF4fvkQvjjgPQb8PA9dYN9c2Mv9 5w1/hGNcLfVOLv0+7iU1nybl9xFS8bxZiideLZLkX8+DknVN21uyX/jiK/n/ gvibZH+rJvV/RdlHyfvY5VETJe65TOp/kstS/6eMspR87/KTekdUlvofJ1Dq 3bvP/4//FfA/Ugr+V7qG/5nS8L9TOv6HysD/Uhn4nyoT/1tl4n+sLPyvlYX/ uf775vN8Pd/P5XH5XB/Xz/FI49OSEypcHYeJVB9pbTv210IYZXlBHKAwSbQx Z0yw+fTZorAVmnN+vdkpHNpZd2Vq9TyR1b6M3q5qq0Ub7Ytzg7tcEpYXzFVS 3XhTEJdosfD2d4XTj+h7rDvNyyjQ+vB1tF9hNckzzyL57aBvNvT3Ah5p/z0r pvn5axTnZeRYi+ybpisoi3SEEd9fep845S1czu+qc2/2aZHzsx2dwgKihZFH x3qcnP5caN2r3jopvVEIjVZ9vTVYlm1ofyHqwEw5pnOKvk/tofnYQ7R+bTnt b19I8lIaSH5iC+lrhv4OwCt9vtwe+1Zab1m7vmfnpV5C0FjH9sLZSNHhGi3d jRm5QsaaWw/W3GkQ9A2mv4jIUmHMYV2tnNiIuX4N9xQPmMpetPocuzNuFtuA 72jMmxnS+nGutN/hPckbb0Lyq9+RPpnOM/7pHzKd8EjHX8RD8r/wi+xTmED7 v00f2WPVJpGw3LGh7Mirz8KJqimsKdyQOQ7f9bIx2Z5dvu3R1P6gF3scfmxo lOlu9i3px7FONXtYOr63Yn421nti/wl7kjd1Askvgj90v5H+2BuERzo/OjhR vGx7QOfR9i3Z27yc5B0ur86NjBjPVi0s2TNo9Ebmkqf+om5XKEvrJLvXMTCa Ndm1yfveI47Jle83j1Y/y2QW0Hcp5rdjfQD2iyFv+EqSrwV9FfdJ/61VhEc6 fy9/oPh2fU/xM8OFzqcE9q+B/KM3ld9NPHmUvRn6XbvH9zhmGu3k2m1hNMv5 G7MhI6mjeOGKavsJ1w6KZbrF/ft+fIrm32N9GvY7QN5WyL8OffovSb/WOcIj zS+bQykfvyA/GvUpnpxxXsvhjwLoe/n854DjDwKZV2+T7LqTyWKHttZGDxZf F6vcP1ymMFAkdsS3DebfY3059q+CvIWQb4B4bw0n/fGBhEea/xZ7EH8kIz95 /K9HfN3E+eXAPyHQv1K3h/AoLls8q+JVvsWUaLEO03G9+n4nO/iMvudifjPW 94f/eTwcgPz90OcO/lB0ITzS/Ly0lPhODXwSgny9hXyQRbxZPIz9d54e8NdC 4Dnexurr4+GpbNbe4dGOahlsI77HA/9orJfxpHhQgDyeb+uhLxj63YoJj3T9 GPWI+HliB+K/t+AXhWTK3+HIj2kOFH+yON/fAvmP41P/cdQqrPAqM8R3Cfz7 K5/W2y6n/QaQ9wf80P0P6WtpR/qfPCY80vVND/XkLvh6Lux7D3vlYL+vBeVL NPzTC/7cBv/pAd8yfAfCn1uw3vcynUdHyCuAfE/oi4I/LxZJ+pOf/xxnigc7 xIcv4uUg4icT8fQU8Xka8RaK+OPn/8Gc/HcF+AZhfh3WN2B/FuQFQL4N9PWD fvXVkvHJ8yliBeXX9COUb6bIv9XIRw/kJ8/XuheUv3OhfyT8dRrn68n9jfm9 lbT+HfZvhTx7yL8OfT2gP8REMt85PwkJxFeaVcRfe8BnAeC3xeA7EfiP6+uA /JXxOfPvPDc7Uvz5fqDvnpj/iPWJ2L8C8twhXwf12OIF6Xc8JsmfnO8/oB5d Rz2qRf39soLqxRvUDy5/M/zxGOc3HPGmhvzg+VyIeS+sd8L+Csj7jXqcBH2n H5J+JWfJesTrZ0ga1dP0eqqvS02p3rqYUf2NQv30gv38vDYjvp4hH+TBD7ze x2B+CtY/xH5NB5JnPY3krxhP+lKaSL/cPcn6zvuR8TOoP7FSpn7FG/2Liz7t v/CO7C1FPDQjntwQ/2nI15fgswB852NeA+tH43xnQd5T9B8T60hf0Q/q1yqm SvZLvL+7gX6v3o36v5AuhDe8luw7i3iweU7xExFG8d4hkPLzFPgkCP2nB/jt MeajsN7yFe2vxPnO/0HyqxsIX1v0n+HFkv0n75dF6J+7lNC8D/o/9cvotxG/ 2YcpvnNGUD5+cCP++IT+fTX6+STwX+VamjdeTOtlrtD+asgbcovkh0wjfZXA l9VRsp//f+V+hPvctefPwq9MiRwh+oaR/367W3eTokPjBZ/yQ3oJCycLuBem Jh29fCO5+H/3nKSqn1vNbPh9OU0xto/PsGV2Qsiz57ebtNT5PTNd9dOa/cqL PYSq2or8Tk5+Au6jGZa1k6psnI+KDsybudTy3UZ+j85U0Hpg5Lc/SjC6deP8 J7uDItxvM6ddcCzoHpgseMUtOJr72YvfgzM9R52fOGF3mmC0Y/8F0dBT/L6c pXr805NrJ8TCaUW1x56FcfxenRUbTr+7HaD1/HfD4SQnqpLkczmjz5HekymE h+vV1SacdjaEn+O0qiO7xtSTvdyu2R/JD0Ul5B/uh1T4TQX+5H4bGEF+zoT/ uZ9/4FzGPafz4uei/Vzy/PjI58dCTgb2dzeXaTk42E40HaPciwPsR9eVQvik zx2eeS0SrPzq63yHzhFWLhgZJvNho/D8wc/suCMnRa5/jt2frxMt2lgirv/1 87owSvbXwNsuQcIwe9fPHVmOsGDs+29j/jceO1XsZvbmpRCXusb3S/NDYeKQ uBGndP4IyqFtvhxxrRBuJOVm9J4nx9YvG9398dlqYVQyfSfvp/kXWH/7Cu0/ fJrkfTEh+UrLSN+sNqTf/THh0ZI5/g/fpfuE19qO8Ff7kD12k8m+RtibBftd MTbBP8FScc/9/yyRzukg8mAi/GUOeTk/5Qbuf2UlPMXo0qBa3Kc4UtT5YOZe u+RTIhsN88bQlbmCnbi125J+N4T0s+u0i0LihMwzUT3fahYJvUKvXOkzW55d HnG2+FToV2FQZH6jfrcxbITGy/yhvRRZ7zxNkZ3SePYuoGueoYEGa39ygX2x 2nRW0Xi9X+pJbXb7BH3P3kPz9+/QeiVN2p8TQfJOjyL5/aBvTCzpD4wiPK9z CF/gEMJ7bD/hD/1C9mxuIvuiv9IoV0n2p3P/wj/zpHiCx3d1M+VB1BmKf8XF dE7OO+mcuoWSvp3w35B+aiO8xuQKM1VpbGysHBKomyq66+psHd0zSfTszeO8 6q4arFfy3fZn5ykyn72dP3TdP4d1HnssXtdlHOvZ6X2F0XE39sVvvn74hIXM xibrnWYbX7a1eNZMdQ1n9vN49JaJXwJYx0i3zRqr3NgffDtjfi7WF2G/FuRV mJP8g9DXCfqbgEffk/DZfCC8HiqEvx/seAJ/6h8ge+O3kv2rkHfqceQfq2pJ XuX8IV9HPHPkM/HL8L+Un18fUvw/RJzlIe5uwV/BDYRn8xRPN5uHWswLo8mN mhbNdg7MsGOmvsrVRaz1fED58NhdLONVn0fjXm9jbhdnPYrqH8k6hj8Qx00J YTOrV5zc7HmGmW55tZp1i2QNWZPNL2meZd+qar5brI9iVfieg/lxWN8b+9dA XiXkt7lA+myhfw7wnAe+iRiHvCf8M9aSPfKwLwb2piH/+8Af6eDfrnWSdYjz c9hy4vGzH4i/FyoTrwSWEq8EnKb8iI+h/IjDOZfgnEcC71TgHVJtP6Ikdg8z x5h3a+ow2fDT7HbPeQNf7z/FDlUO0PRROctOyXT/vmfVWfbgjOy1MX1CWW6W fbR3YCxbWrzGY3JFoPjp7NB69R+nmSK+EzH/Guv9sP845N2B/GLomwD9Fhin Ad9c4D0L/Mtgj8UZsi8xhuztAPsjupA/vqFu714kWbd5/dPMozqppkP10R/1 IGIx8fVm8Fo2eEcJ+bkG+ZOLOGhG3CXCnkLYEyj6uePD7lgWhtH6+3d5xcgT 4tQRp/+qpPqL/86X6W5imynWcDdbq2OTJE7pYfxNb55IfPnOI627FqniWnx/ Wkfzhra0/hH2+0BeKOSHY7wH/Y+BpxH47gDvZuDvCXu0Yd8n2BuxlOzvCX+M GUH+WSfV5/D+Yvk76kO2nqf+YzHqoGk01cE3qAd/wOe3wEvtwEtdkF8rkV97 ESe7ECfRsNcX9q5TmnBrx+Hr4iKMqmYREyYnXRXr101uk94nU+ybamV27kaT 4OPw4EFD0FWxb8zMf9+tH2jeEuuDsX81xu2Qf3Q46dsM/RHA4w18XYFXGfjL YI8y6t8O2OsK+78lkz+s0Rd+zpTsC3n/ZnOY+ryGodTfXQqm/qKfJvUX01An xaiTy8H3y8D348BbJuCt68g/H+Tfe8TRSsTRG/hjO/xhneRyanTVWaaGcdGU w/5nBmWwZ30TZo84lMJM8W2FeROMdtjfA/6fAvl3oG8b9L8BHgZ8K4F3HvB7 wJ5a2DcK9vbWIPuLDpA/bEaQf27tk+yjeX98qCf10fVHqX/eZk99mwX6Nk/0 Hy3oP/qjjnaKojr6DvWgBfXgC3itEbwWifx8jPyMRJzJdJv1L87ewl8T4S/P V9Hlk05fY5swumOchfkGrJfZNvvf/mWQdxXyb0Nf+0ek/wnwvAG+ztWEVwb4 5WHPF9jXCns7wP6qpeQPc/inX1/Jewcf87aRfwNP0rpQ9MMr0A9fRF83AX3d XpxfW+Aww/n2yiacD3D+t+HHv4iP+7CzGfHoqznjnx+GI75mw08WGNfCfwzf 1hhXY73Md9r/AfIeQH459IVDfw7wfIQfJwGvHPB7wZ638COPRx34ce5B8set I+Sf/nsl72k8Lp9nU75Hj6S4lb9KfNCEe4Mr+KID+uVq8MlC5EUb8I0V8iYK fBSPvBoLfnRE3nlwPkNemmBsSiT/+A6kOH3J4y6O+NEQ/huF9dMwboK8pZB/ GvqCoD8EeCYCH+dz3ofWwp5m5PVu2DsQ9jvCH9a4H1dmS95rOU/aiqn+RCYQ j7qYU336BZ6dM5LqVzPqTHfUNw3w9A3Uv3Xg8bOojwfA876on89QBzwwZsF+ G9j/G3H1BHG1A/mage8h4EFtrD+C/UsgzxAjr9e8H8oEHmfguw+8qsD/F/17 New7B3un4r651Iz8kRJP/umWJfkOwOv2zQXUD/kMp7p+U576JZ0lVPfPoZ+a i74gCv3WBvQN+ujHOqH/HY9+rQR9x1OM22HfCdjXBnGTjrj5g3xML6J8jAHP VSA/6zB/Fes3Yn8K5KVBfgXvdzBOAp6OwGcJvL7AP5v3j7BvLe6zF9D3CHLk D030Pal2ku8mvI8cxftz9OE70L/LoQ/9i/6++ST1qfobqf/PQB/riPsB73Nn YjSTws/7SlfEBe/DrZFv18Bjv8Bj91Af2oJ3Oc/x+89B7Of3o3jI5/rGQr8p 8DCMnsBbCvz9YE/OUbLPCfdwA7xvZMIfq/DOFF8n+c7E7zXqd+m+qF5P9575 tnSfPHGP7kU/9uE+j/v9RNxLRzyje1XUCxrXAF8M8E3DuXvj3O8inwYjn5TA U4vBU5bg/87g/1b0Ac24XwuYX4r18tjP+eUJ5DtAnwH0t39LeO4Cn/MXwrux nsZvuF930CT7rELI3o24FxssIn/Y4t4c0iD5Lsfv2cF4vwjDPVx7Cr1vpHvS PV25gd4/ynCPP45xQ1/SLwP/Km6gc43G+0oA8sUZ+fIFPHQbPPQI/M77ttWo m7y/0kA/MhR9gg/m/2A975+bIK8beNsc+mbyfD1FeII9CJ8Z7tEG8N9rvL9s +EqjewvZa7GL7I+aSP74GkP+OZIo+Y7J331e4D1tEt41X+C97TnejXIwVjeS fOVtJP9JEJ1bIOJ2DPIhFe+PluCZfPBMKfhbD/zdgLqoh36X9xsz0G/ko4+L R//1Ef1XBtbfxP5pkBcG+Xdwn/UFr1shP9cCnzziTB3vfs3wV3or2Xf3Odn7 CWO9GfnDGe9mOlLvvvwdchPeeVW64x0X44CxtN8G/g3CO5wW4jZjHsW7Vx3F uwt4ZBB4tgz8fAjv2m1R96JQ98oTqZ/Ixzv5c7zT3sN7egneca9H0bcYfVwc 7hVPsH8Q+oyvkP8J9aBDN9IvgNfSgO8e/j8YtJDw2+C90BFxtxH+aod4isf7 7QmMD55JvpNLv4+vknpH71Yh6fd1Uu/yVtckeUJGin/j50vWtYwMyX7BtkSy D9sk9T/EJqn/KzL9JO9jg4ol77lO1yXfDxyl3mVOSr13qddKviNGJEq+z5pJ vXtnP/u//1d4KleaYPjriL7WZSfTbPlPBmWb5qi3ePUz2nvj/sOUdYONG4Yu 6TSkVdbEll1IS2U5JoYmHZly8zzTDXatnx+13DMtUBJph2v3M9MUZ3p96DnT rEIjqvqy5ZL/vvk8X8/3c3lcPtfH9XM80vjUa4deSTocOXbUspAjvZL7imRj fXe6dTMWbiX0Ht/eebyoh+qA8YcKJwvnFZeJ8+5sFxIS557ucSZYyBkeXOVS fVqwUmuc4DAuRVj6pN+pZZ8yhR/96XsJ5ouSaL1hH9qvMojkeZwn+ePPkL4/ S0n/l3LCI+2/bOBLEVc0rA1mwmKTw+5qs+eIvsy4dW/fgmnCxLnaMgUbDISH w549ODTaW2SZmTP1xLZbwvzybZ6NP2qFwl0ON94otgqTZo02iMpuy0rw7Y75 +gxab2lI+xPVSV7jHJKfZkz69KH/B/BKn+8B2FOM9cZaU2ZFrx4snDN8nPlk 4QahZuDTubFvDwkrTu6w6WX4Wpj2InbuRgsF9rahdOdCdR2m4H+ioslyPHP9 YafeuG4K64Lvl5hfhvVfsN9Yg+TF6ZH8LwNI3xLo7wo80vHnB/+fhH1q2D/k qk/zPLmjQuvHliWiBa8E3TfGimHbtFiK1YhLzrrz2eXNXeuM92xgE9wbYt7F 7WJ/61WXZh0JZJPwfQ3zaVg/HPujIc8nneSPHUP6CqxJ/03gkc6PTRoUL85t 6DxKNcle+U8kT3CbldBmoC7LaBXJdEpdwyqfJypeMDvE/qTH3eh4PYH1vfEo Xy40lUX9ObEz40MmU8F3+wyaf4P1r7F/IuRdAd4gLdLn/nfYP/0GmoRHOn/d e1F8ewyl+AnF+YyG/Y8gf9zplRc+VRxni7qsLP88OIv9aNflbuXEApZpfOiM 494ypqSssebu7HKWhe9vmF+G9VOx/y3ktYP8d9A3xJj0P0W+SfPL2ATKx+Bs ivd2iKcCnBf33zzos7UdVyJuKmFnar81X237ksUPe3zaZ3YNC3x3wdCrooad w3cc5pdgPcf7DvLyIH8+9J1Gfn68Qnik+e/AUOKPsArKz6uI/+uIr1acbyP8 cxr6Cweb917S7g27vMVNr027V2y47ZD2MwOqWCK+izDP8TZgfxvEQxLkl0Bf Pfjh+jDCI83PzSrEdzd3E5+83k35Ohv50AfxloLzPAt/cXxGd9y67m16xIqP vVOw35zHzPDN8XJ/p2O/KuTx/PsFfVuhv1c/wiNdP8xLiJ9fgv/MwC89PlL+ xiA/eiD+AnC+w+C/IuCbfZ19UNmazB7hexTmg7G+N/afhLw2kD8L+kKh/08p 4ZGub7KqhD8R9nyAfXNhrxrs5/6IkfKnIfxXAHwm+E6S8mcazzfIGwf5bcC3 46A/QMqf/Pz1tCgefBCfdxAvYsRPO8QTz99YxFs+4u8C8AyC/zj+Aszz9Ty+ ebxfhfxH0PcD8XlNKj55PhUj3x2R712Rf6+Rj6+RnwuQrzbIX55PcfDXHpzv GXxzPlgole+vIO8G5KtBX+8s0m9yWTLfOT8dUCC+mj2Q+GsM+MwI/HYffDcB /GcHfV/hn2s4z+6IPx4f3zG/RIo/iyFP+f+jzsvfcoy6tjMlc4gyZU5mKmly 7VIShSSiokElSkKSjJmFkMwhSaEk0aw7aSKlJFNCgyHNZR7K9x3POvfzHfd1 fO8f8P60j+vee69pr3Wuc+8b8ndD3x1V0u+hII2fHO979yP8d7KhfmQxjPrD GvQjK/SPPMjn8ZBFPvD+w+tDCd9/EqX7UT72z+Ly0I+80f8s+5D+T0Ok+xHv n72uUj+1nEn91ViL+u20aOq/VyGvDfxPwXldQH7pcXxBf+f1EYN5vr4z9gdB nmscyddWI32l5qTfQ9TfOR/5HUr8ZC74ikkP4i8eOrTfB/03B+ezC/nUppny fxjq1Q/4MgDftSK+1ID970aRvCgNki83hvQFQ/8WEV/i/K4MfE8V/M8Z640N yT+nVuIHwei/kkTK98UvqT67gm/WzSH824NvJdRvIvhn7hTaX/qF5MXMJfmy 4Lu20H/STpp/cr4sX0P82QHzy+CPSgTF/9Fwypc5SpTfH+KpHqsnEH6kDCG8 2/mK8HncYPpeO47mR9ym9UrgFyXgZ3txX7CBviLO52ul+fz/lvuR3+kVNUVR xlMmqcwp2X67s8QSI/99d8id3ROd2wk+7q8n+Ud2EMZ//HXZNeaApqdZw6mR J1WFwcEbrnd0VxMmDu8yatPhsKmSnofHpVcukGj5H9j5PWmBJLjjlaFvNE9r TTfvuqi94CFsSZ1e+izPSpjlUGQQIOOiPSZJvdF351KJ/uE/TyOU1wspbG3Q PQ15ne41zU2zj2ySdOknqxW71lKYvbs1S25ZkI7Hmj9q09k5QVhUxXbYuAgJ Vwqd/jV81xmnHrVwvMYtwVCyJ17Haa+wX9U56c1oLd1I5e/dOx1NEqLW9fmx su8RoVA1vdO+k4t1C/H76bu0nv/uDDnjFpB8LucM9B4cSPZwvfdryc5pAWQ/ t1M5lfyKTyN/uV8bEIeViA+PQxzi1g3x5HGbiDhPRvx5nA/jXNbgvPi5zBed Hx/5vK8byTmH/WeOH+lx54WqYIzx4z2/+BGxCyWzO0Srj39gKRnb6NOg7uIl ZN5QPPbFzF3o9+VK3Yj9+yTno9io59PtJO33tX5S/+Al2DRPStMKPySZ32Xq jDPmGUKKg+2etIkhwm7jvDEjEt4I3YO6HEt6kiFYr38ljO3zVVhYl/x8ytxi QTniz/nYmzKs59MuP02zXwl98e2GeYb1Q7HfC/KWQ34o9Fl/Jf0v/cke9dtk nxHs1Yom+6fCH034lwV/Gfw/jfEx4pPtJp33PP7fz9E56eF8hkJeIeTtikvr 0vX7OuE8xrnF+b8vnPSXGBwzDRl6aJdk0hzftObJwUKQwZ+5qQtdhd/vuv/R v1YoBJ1yr98+6IHgo3UvPXhiq7By6tWMANU6wdXY7/Dl7SNY44jTm7sod2Yr 3pzsrTlalw0apNhwW2MgC1yha2HkMIO5etUqZQ8cxo7guxfmXbH+E/a7Q951 yJ8Pfc6nSX8p7Bk5l+z7C3uDYf92+HMO/i3DmAj/5RAPY8Tn2zlpnOD5PR51 cBH5/w55NhTn5Al9O6Av5GnRDJfRZwVLjI5yvvO23XggDBr8PiHaOVe4NHLz guMTerGp2m1WzhzYgd201V9vlmPMPEvSB+te0GCS/bM0qn6sYLVayy+nh1mw r32TV/6ct5WlntS96ai4nP3s7viy+epeNv1A1+cJvVzZL3zfxfxvrK/B/mzI 28jlQ19P6H8Ae7Yok30lHclei2L48YzGe/DvBfztAv8HIm+vID6uIlzl+NEE nFEHvujeofxXRf5Xm9M53sc5noM9IYhfVO1r+UclCuwAxr9PTu29vmcRG8CW qjqoz2fmtVYaedt2suzITc0jPDeyhxM7O5U6hTA33W7PL1w8xu7t6nZywvNb rKO+zBoT+xB2/HOyoVFUEivruMr6estlFoTvTpi/j/Ue2J8HecWQvxD6JkN/ nyKyJwH2JWP8gXhWDCJ/ZOeRf9styV83+L8kjuLhg/icvCfdhzg+Sw4SjstL CL8vNhKueB0iXNmA+nyE+piFc87COQ+GvV1hb9HzXP2xvfaxUoxbVVUu1sXd YEEHPNVzzlxlRSOnFt1ZkMUcXPWHDoySsAz1BV8P6TxlzWfmhZ77/YBtW9zz m9PNl8xri+/Sm53z2VZ883m+nu9/CnknIX8H9HH97zDKwz5N2Mvtl4E/Z+Df FuBBNfzv/43iUYj+5hcg3bd5/3vxrcN/+uScKuqP/s6E19rAazdNwp09wJ3z qJ9k1E8m8mAe8uAo/OHxk630U4lsfMA6Yszy/VP3ePdrVnXr+uFP514y/+/J C/U0K9mMkN2Hla+XsUXj/Kps89+z7k6Xt53oUPHfbz5/EOtrsP8B5HWBfD7u hf7TsGcB7ON5+xT274M/VvDPHTibB//VHSke2eAP6r2leQ7nF5YaxEMGrSf+ 8esE9cHNM6gPCsDzY8Dzf8ClROCSE+rrEerLBnlSjDzh8cqEvzumFS88qvae bcf4d3vCqwt/Kllyb5sXPx+/Z+Vs7JdT1mXs1YDPUQebK1kFvlMx34L1XM5O jLmQ/xn6uH472MPtc+d4APur4c8m+HcH/k4DD/gGXnDZk+JzwUiaF3L+5nGL eN5aDeJ3L+qJXzSsI35xeCD1yR3ok4XA+zrgfTvgFse5BlH9GSGPDiCP7iIe fxCPMxUvO7wa/5qdxGi3xaTS9l8u2+c5qldhcDFzxPdZzJ/HyOMpgTyep8bQ dx/6v8Aebp8c7OX9Kg3+eMO/YvirCn61FPH4Bf5rGSfNozk/ll9OPPrCEOLP LcXE2x6FE29TAP8IB/9YjD76FX20XNQPPIFrm4FrnVGfC1CfL5BnZcgzHq+l iJdRQfCDvt5JzBjjLIwOmPfH+krsL4E8Xv/doE+Ms7x/cXt/w35D+BMG/6bD 3zfwfwriMRDxsVwlundgnIF8fIB1jxH/B5BzFOcTAT08H3/ADt5nT8HOL6J+ wfPRAn7y+n2HOJxGfvE4LhPFk3+L85LHkeejGEd5f+L2HIN93N4/sF8Cf87B vwr42wT/hyEe2wZTfBQSpO9pPC+VtKjedVHXt4CPHZHXjsCL3ch7GW3Ckx+o C85fOB+xBx5loq4+Aq/2o+62Ac9+oi5/YTyB+HB83Iu84/E+hXmOp7yuOc5y 3KjmeCzq66mwj9v7E/Y3AB83wr9Y+KsM/38BH/+hrocbSd9rOU4O+kP9+v46 wtGB6NcP0GeC0K9P8XsD+lsmcDoX/S8fOB6I/vgCOM/7Ne8z9zFugf88vknI K17/xahX/s3nD4jOIxvycjB2hb4n0M/7dS7sy4e9nL/vhT8b4Z8K+vUE9Jke yykeUegzY3tIvwPwvn0Z/LHtZ+rr2xqILymj77ecJD51E7xgFfhWNniDCviY JXjFK/C1neAd2zBy3lMo6uPifsRxtQtwjn8bYj5DlOecP3aGfK7XDyPnj9w+ VdibAvtHwB9n+HcUfHka/C9uonh8QnyKDkm/m3AeqXiX+LliPPHM6qvE3wN3 Ew9dO434vVIZ8dRFuP+FgMdexP2gE3iuHMa3sH8+7D+BvOD8wwn1loZ64zgW CBxbK+oPfJ6v5/XK70cnRDzxNfR3gD2dMV6GvXdg/zrcz3LBw31nk7+P8b7x OIbiUZNC8QmRSL8z8XtN2AG6L9rOo3tPXBTdJ8c2071I7yjdNwtM6d404Qnd Rys60b2qFuMN2HcR9o3Buafj3Hk9paOeVgOnvgOnOP7z+/Rb9NXv+G6Peb7e Ffs5vjyC/FToGw79ybAnHvatx332FMb2uGcX4967HffrabgXvsV7gw7uhZai dzl+zx6Ad7ktuIcr4H2jtIHu6fz9o/Ap3eMTMZognqPMSP8AnGsUzlUZ9bIc 9bIWODQfOFQCfDcFvt9C39yFvimAjwTgm79TOGF9FfavhDw/yHeAvnbQHwd7 hsO+eMRrBd5ZnPA+sQbjXvjbH+8UQxCPaMRnqPgdE+8+4XhP08C7UBDe2+7i 3agIoz3k1yO+SshTY+Rtynyqh20HqB7scU+NAc6M0SL8HjyT8NtsJPXFU+iL 5ngXM8N74z7wuEn4VsO8I9a3xf6z6Adh6A+B0KcN/VNxT67C+0MH5Fk/5J08 4nUA/uXB3zSMfojHMsTHy0363Ze/Qw7FO68/3inHYdyN/YH83Rjncg7nEoL6 3wE8iMI7qQdwxB33+/A6wufhdtT3Fq6mvhcaSHxihBrxCbNa4mlKg4injS8i /luF70bMy4J/3DxO+4s9SN59e5I/BPfgjXjHDcH7wma828ihPn1Qr8HwRx3+ ecFfb/jviHgMxDhG9E4ufh83Fc0/FcV9giifDxyQxokA0Tv/jCPSfW3jZGm+ YOohzcPyc6T5bflm6XuDa7r0feyRjfQ912yY9PvBQtG7jI7ovauX6B1RU/Q/ zn7Ru3fn/+F/BfyPdAf/K8Xhf6YE/O+U2Ez/QyXhf6kk/E+VjP+tkvE/Vgr+ 10rB/1z//ebzfD3fz+Vx+Vwf18/tEdvnbXPgiNA4VDIo06r0Y7gguKTEuep7 zJHU6r2sCPeeJbT/s01joJ6n4G6x39r70Q5J6cIQ/b+qW4T3H77ZR1QmCM3y NQtvhOQK7/edru72vFDY05W+R76h+bzBtL7/HNpfBHkx40m+JJH07bhP+s9b kz3i+M2HfVceRoX/mrlQUiUr3z5jt7Ug825xzeHGCULe+euBKRmHJA6e5ses V6YIbPWRdI3N74Vwe82ckKxWYfs1ywk5s7qx7++++EX37sUMIun77XKar/eg 9SNX0365iyRP//2S/8gPbEP6mnJI/13YKz5fAfGbC/vMN/92S2+eLwx5Of2Y 1zIrwVXeUWXFimxhf3WAocr8P4J3U2WnQ/UjmFfs7oSSUn0W9mrfg4ODzNmK mZU2DcUL2G5862K+O9a3YP/+niRvhwXJn3SU9D341+M/+jchvuL8C9an+N+L pfjp19F+yUjTb/6DkwVf5yebj0zsyLZOWmLiOms6e6h8euO0TGc28divKtn4 zczj17CEvDN72Sc9/dw3hv5sG75dMC/B+vXY/8OJ5BVOJvk75pM+mZHW/9Hv OZbsEdfHnXbb/5MvPWPoPPr2IX/dIe/L3r5O616ZsYsaw48E9PFhsq2nfBpt Atk0i+cbd8mEsOBihartay8z54+mbrKKYewivnUw39BC6xOwvxHyTCB/tgLp O3KT9MvCHnH9Tjel/C50p/yxrqHzcYD/XP7TuxEOPStOseivxws+Vl1mgxbN U95nepZFJV5SKRrsmbar/Y5+f/sGpi2Lp+/GhTR/BeuTsD8X8twgvwr67kC/ 9yyyR4wvCq5Uj71RH2HIp3ScVyviEQd9PxfO3WigupU1afjMnjflVtqzV3Yf 71olp00dHF/7pG1K2jt8D59C86sX0fos7JfHebyEfH/o24Z6UzIge8T4l/eJ 8OMw6vcc8n808msuzu8h4ncC9lmtb3dm3rOkNPP6P33nfw5Ju5Hg12dnrQs7 W0ffgzCfi/WXsH8q5M2CfAPo++NI+pXekj1ifD7Um/BOCfhyF/W6CPWQjnzr j/Pdg3jNhn3vty53WrXjNhu0ekzDzZwEtnAbfT+BvfVY3yuO9l+HvA2Qfxz6 Sq6T/vfdyB5x/wjwJ3wueEv4txb4Eon6XYD6eNCB8i8W5xuSRfGTg31tr/7L dl0Qx9rhOzSZ5rOxvgP2m0PeE8i3gL4jwN8R+8kecX9jiOfPq+TPHY6H8Pc2 /A9APP8iPsqIZ1fETxn2dcT3HMy/xXqVBNofDXnukB8BfYaIZ1IP6Xjy8/9S TvlQ7kD5sR75Yoj80UI+OSG/SpFva5F/13C+825T/O7Avl+Yr8P6XtivCXmW kM/1rUR+Pq+Qzs//1vtiqq/bqHcv1N891GNX1Ocd1OtVK6pfXs/zSyheZThf A3wbYV4B+HAN+7m805BvBX2v3Ul/eyvpeuf49J4RXm1bQfhVU0t4pgN8iwTe xQL/YqHPAfH5mkzn2Q75dxLnOx7z2Vifgf3FkOfE+xv0Oa0i/fuNpPGT4/3X b8Rfxp6ifiDXjfrDZfTLD+gfNyFfTtSPipFve1Af8fhWxzzHyzvY3wx5FctJ vn0v0icXRfrX/dsm1Y94/3SaQv1U5hjxF5ls6rfGY6n/mqG/DYL/oTgvZeSX KeohBPVrj28DzF/m54v9/pBnN4nky0STvh0bSP9fLen+zvnIYfCl6+BLISuJ v4R8ov3D4O/BOjqfSOTTbuT/c9RrJPAlEd8mmG/E+tU4X3XwpSHXSL6qO+lT 6kj6Ne5K8yXO77ZlEN97+YD4n4Yc+GcX8q8inM5DxYnyJwD5Xov+lRtBeDIW +DuY9wvgRxPWOyL/g0PBP9eT/HDomwj+uzBTmn9yvtwXfH4H7K1AfDN1KP5b WilfhumAr6ymelRHvy3vS3hnd5jweRrwWFJG84k+tD5wOu2v/kvy2muS/KuI XyfYd85Gms//b7kf4T4XJ3vwzZkXFwdJ/vrTyH9X61feW/nvNME3scS2/qIB vxfG6yktX3pJebEk8dDttITViyW4PybEB2xWWRS7UqhfeajEZ5gdvzcnDjRO D757YJmkf/KXhiHa6/l9NOmAzvxIOcdDEpOcwKvxI3ZJcG9Nlp/b8KDPnsuC asntZw4xGyS43yZ/6FD8b8nnWEFW8VBqS88gfg9OFpytHOuM0wWn+JWx0WpX +H05ZeOihgb96ofC4ZBVe5eNieT36hTlJfS7dySt579briQ5eW1IPpfj3Jn0 3v1G9nC9K+eQnRcyyX5up5Ee+eUCf7lfVToUB8GF4sPj8OQwxW0a4snj9liR 4qyB+P83zkp0LntwXvxcXETnx0c+z8+xK851SMhcQ4tPSySKGPs3j5gv13mt ENC+9obWMjfha1nQs0DlzZKorharP5y2lZgZ+W6WafKStLbo1l+uPC6J+j5p 8ol1KcKYst5hb0sihMSa40cdNuQIP4TO9i5dM4V2nnq9Cjo0CdZvbLdOVX8u tF9hN8KwQZZpbF6lLXP2g3AvZMI4Te+e7P3f+29mTK8R/PHdeSvN73Kh9a/K aP/qNSTPwoDke9aSvlFvSb/vD7LHp5Xsaz+P7P37b/5/7Fd5R/4UtSP/opvI 36sXyf9LGO8jvuNEec/jfwLnpIk6WI14jUD8hnSa9mha0iaJL0b7NRYPuw9w EWwNBt/b+d1bYjXWwW6eZYrw4pbrKo8bacKQvHFGF6pKhF21Npnzjz8Teu2Z V2odr8iG6qseDFrfhmXf759WYKbJYr/IueXkK7NbP2QOXNtmwr7Xf7Jp+T6e PZF4XrAeZMHedbtyYfMWNVaN7wWY/431Ec20v0cGyQtjJL9iN+lLrSP9Gblk j0ss2Xd5AtmrOpfs329P/lR1JP8WYwxFPLcivs+QvzIinOD57bOK6sAbuKHQ jfIsFnl3FPGK8SB9s0++XZ6mliRswaiyqz7lZOEHIdlG85O3xVvBTjHG+vKL ScxmdNXU/nOHs3XfbTePmmnF7L6Z/7qXYcL2dMnd32PsOhblNaugtZMDe6ro N8rVeifrXJZ55E9HD/buSofREcsOsG8L565yll3HXuFbCfNPsP4u9m+DvEOQ bwV9s6DfF/Zssyb7gv3I3tNnyP7nGOUcyD9Xc/L3zlvy36uF8vYW8EHFWRpX OX6YSAhnzIwIX9Lb6P0n/4fMoPzfG0fneB55F7qY7LFF/Mqf/JJZu1iDpWB8 c7UgK9bfmW3TSLrjXOTA+mwq7jevcQ97dXzioLa/t7PbHqE9neacYUPXR6jU CMfYvy5nZl22DGUjEk6++D3jDDM7n3AoZ3wYq9m167PZ1GBmju9RmO/Wldb3 xf6HkPcS8rtD30Ho/wR7XsK+zkU0uiCeufDHHXnqCH8L55P/RxGPq1oUHy+J dB/i+NySQThuygi/f70hXBF+Ea54oz4ePqT6MME5b8c5b4K9FbD33rF/1yYW H2C3Ma6b5iZYvAlhdc1X3Sc+usD2b/635mKPy0wzxcnm7eAwFjm9e5u7n/Yy j2ejffRnXmIRZgqJj5UD0lYa9f4gp3mePTGl7wWYtzGk9UrYfxryiiF/J/RF QT+3h59vIOwNhv1j4E8Y/CuCv6q/yf+fpRQPH32Kz7QM6b7N+59eEfXJTujj /dEP1gOvJwDXVIBztqgfN9TPU+RBL+TBd/izGv60/zo/ZMGsS6z1C425192W Fk28kJZlUjt/VPTBND23vbKBmQlpR/90PDp1UEya5+3XP6Inp6QVK1gfbp19 J20lvqMxL4/1+2bR/ijIq4R8GejbAf0VsGcQ7PsIe/fDfh/4YwD/8oGzh+rI /176FI908AfLj9I8h/OLkf2Ih3wG7zEppT64Cn01Hv2gFP3hAnDpAHBJAfWV h/oajTw5jzxZiXhlwN8uJ7+dl/NLTnt4gkZJatuItCWxaUdb85+OvZ2QluOg 6VTfdUNaZl15/Ue12DS2nL7XYT4X6ztCzg/IcYH87ojvOejXgT3cvj6wl9sf D39k0a9K0b8egQfsAC/42JHi0yQrzQs5f4tPIp5nAZ7Yxpf4hQf4iGID9clI 9Mnmd4T3L4D3Y4BbfYBbRqi/B6i/ROSRAvLIFfEoRTx02yjpz3z7f/MIo9sm 9fdzLRLYcNWvfVY+u8X88L0c8/0xXsH+cMhThPzT0PceeGEPexRhnyrsfQz7 u6J/tcK/LeAFXuBXIVsoHoWuFJ/4aGkezflx3A3i0RGWxJ+P/ybeVgbeNrE7 8Y9o8I9y9NEy9FHZ3dQPDNEP5gHXUoBzqajPcNTnXeTZEOTZYMRrC+K1QSh3 Oe0Qz7Zi3IlxE+Z1sD4AeZsPeeshvwb6mqB/PeyZA/ua0L8qYX81/HkO/1rB t07C/x3gsbZWFJ/LodL3Dj5OTab4hi6gdbORj+8gpwPyMQZ6/iAfy2HHOJyv Duzk/aAZfpQiP3gc1yN/EhHH+civvYiTlyie/HsNRhWsH+dM+8MgzwbyY6Gv /xzSvwj2GMA+FdhbBfs538qDf2nIx+vw/yXuB3W4v325JX1P43k5vQfVexHq OvUt4UEn1LUe8DEdeR8NPClFXSgBb+RQNxOAR31R180zCa9UUXdKwLV01OU7 jHqIT6MTxUcWeeeOeP+WofkCrG/CWAt87MbrGnh8BnXNeUEn2NcP9j6D/ZHw 5xf8GwJ/C1DXDxCPuBUUn6Pdpe+1HCd3l1L/+StHOPoP/XoLcPYv+pcScHgX +tsW4DTvfw+A49/QHw8A57+gj15HH0jE+BT+94X/r5BXzsirp6jXVfiuxLwm 1sviPIwiSZ4lxo7o10egvxr2xMK+n7D3KOy3hz8V6KMW4Cdq6LP7EI8B6DOL X0q/A/C+HSQhPuQ1i/r6o5fEl743Ud//2kB8ygP3rSZV4ltHwBvCwcf++BCv SABf8wXv4PyjHPEMhX/56KuuyJsi1ONQ1GObPoRzMcCHPMyvw/qzyDvOC159 keY7WzBKYA/n52dhrw/sL4c/J+Hfh3ryd1I9+V9SQvFIMaX4NN+Tfjf57/tP IvHzkqnEM7//ofu8yTfioWoxxO+j84mn/lxK/N8QPPY27gl54LnZGO/C/jaw vwx5kYO8GI5664F6Ww4cMwaOeaE/zBbhbnesn4b9KZD3CfJ7Qt8D6C/m9xmM bXCfCYX9lkvIn3GPyL9td8jf3J/k/1QZus8ETKP45N6Vfmfi95pQvDMFTad7 j1IHul9PmkX3IiMTum9mjaF7Ux7u1R1xL6zeSeNbxNMZ9p3HuW/FuVejnjai njhOvQZOaQH/ZcIJ/2XAA5rRDyZhPg/rOW/dDXlNXD70HYb+jbAnj5837oP8 Xqh/mvyZOY780zIlf4PMyP+viMcdA4qPqqv0uxy/Z6/E+8UlvFMcxXtPEN4p ovHOY7KZ7vFKGBURz1+IbzzO9SfeV/JRL0tQLw4iHAoGvl8GvueABxxC38wD HwnF91fMv8L6ROx/BHmzIP8d9HXCfa8N8uwt3inMEa+RiN8kb7z3eNF4CP7u gP8FiEcq4lMoesfk7z7qeE8biHezD3hv+4l3o1aMyzqTfJ1yku8znc6tFO8Z ibepHmLx3jesiXAmFzjrA/z+if51Fn1xHnjBafArh0vEN/aCt2rhexDm16KP GmC/BvqBPeRbNpK+s8B1c9hTiXczDdRZDOpsGPxpD/9km6X97ol3WP6u6CN6 9+XvkBF4522Pd9zfeK/8jHgOwf4ynMsDnItqF8r3gXgnuvOPcLULf69+Tvic ZUL4HDiN+l4F+l487p8fnIhPXPIhnvbAnHja5J/Ef1Ut6HspeO0l8I+R72j/ T9xnlSF/PPpBZ/SHvbBnEOyL0id7zVGv2fCnEv6pwV85xM8EcTHCOOmg9Du5 +H38jugd3UIU90xRPqutlMaJvynS+GuWIt3XXB9L8wX+/wXnYUPvS/PbsATp e8P+ZOn7WOfu0vdcs8fS7wdyadLvMiNTpN+7qlZIvyN+F73P7hC9e/se/P// r7Ai69XdzjXHNK61mp57t71qSptZBpllUxSn5q6N3LTs1mCtXjMn17eaymjb dNDeXbgtWXvo1N1+5p/n6yTutVuhNTFLZ3jvDNOc7311t3QI2eFwe6bucEul e9fKrf7fN+b5er6fy+PyuT6un9sjtm+C3e2L6R2/p1qs7eV5rqox9f3glPir W0YLi/NDu+2fqCXx3KdfWvvFUkjYGNPqet9HqJZdeTCvTaCw4MP+6zXDooVF vgrXn9+8J2wI8J6amZglRG6i75+VNH8Z6wu8aX9nyPMoJPkG0GcL/dXLyB5x /JzW0/xb411jjAZMFFa3ds2dsnqmJGja6se1VsZCtmbr7RkyMyQDNFdmjwk4 LSg5Go6+GV8s3Oju8Njx+lfhxO2cx6eyOrC7j/umfgjtwgrw/RDzFlifj/22 Y0jeMSOS799C+pJnkP6/nmSP+HwtlMmf/X9p/dwJ25+nzJki7BqlcEPnqa8Q YPnkpcPHGOFLnt6j4CFNwnEHkzP7SwYyRfvumfMEbRZy0cHS8dUsprhiiquB pTk7je/2mI/B+h/YfwnyZgwl+UO0SF8F9IfBHnH+JRZQ/LMMyb8k7Dfec2iT u9cNQev+62Wtbj8ES82llzZYTWEGbivuB/a0Zztz586KO7GJyaW+DOznu5/9 KGl40lM1gHXD937Mz8R6B+xfDXlb9pH8b8qkbzv0V8EecX3UIl+itOk8fsDf nZDXTefZ17x++qyyIKU1beR6lnG8wrq860nm0fvTdIWvUcwgd33DWd9E1n/H OI34srtMH9/rMP8A639gfxfImw35HReRvsDZpL/rQbJHXL/Zayi/dwuUP/44 n43wvwbyDWbo+S6xC2H7Qx75deuTyhymDGhqefuYxV6vUbnq/ZxpuV6I9Ov5 it3Bty3mD2G9Mfb/gjwzyP8KfYrI35moVzG+jG9L9XhsOeW7KfLJEud1H/HY DX07nzn2PCVXzCxfaL0de7KMjRy4qOe1yEpWv8HUN0DtPVPBN5/fj/VHsD8f 8uZD/nno+4x6C2lP9ojxr1M54YduD6rPD3aU/wHIr9U4v2WID9ffbfFti5nL 37PnC4y6fHhUznRu3W27YN879hLf3TFvhfVLsX8N5PH8fg99qtD/vozsEeNz og/h3dA7hCfbUK99UA8C8u0GznM44sXtMxy2NiP001P28t7hL67PH7JZ/Bvz I7Ce5wfP366Q7w99XP9D2CPuHxcOET6zAsK/FhfCl/avqX6VUR9qyL8anK82 4vcc9t3dE/7B4Es8e4VvPcw3Yv1U7B8Ied+ADx2BZzLQb3OY7BH3NxfYPxj+ eMO/fvB3Bvy/iXgMQXyeIV5GiB+31wTfLzDP85Xv14O8zpAfBH0t6A/ym0Tx xPnnIh8WIT+akC8nkT/rkU9LRfnZEfn3FPZM5vHFd1fML8R6O+xfBXkHIL8S +tR4fYjyk9eTPur9Aup9HupvKeqR499e1Ksf6tcC+nm+1uF8B4vqfQ/Wc3zi +DsH8vWhbxv0h7WVrneOT6/WEV610yP8SgWerQK+VQPv9IF/3F6Oj9E4T56/ /HyXifBzBvY3Qp4V5F+Hvnod0h+1Tho/Od437yH8nzCJ+sEy9KN96BfK6B8c 7zMRD29RP+L1xvC9EvM5WF+L/by/6UD+wYWkL2g66TffL92PeP+syqN+Okig /hqvQv12yi7qvwqQNwP+z8B5rUV+tUc91PD6xfcezJtg/SLs/5NO8kzQ32MG kz5f9Pf3ov7O+cjeIcRPvoLPuU8h/lIJe0vQf+Xy6XyKkE9DwYduo15HAF+i 8d0d86FY3wb7LyN+2iNIvosa6VsPvpQs4kuc33l6Ed9Lm0n87wT4YKsm+Zfo QOfhqUH5c9OB8t0A/HIB8GQe+Oc2fF/B/Fz0wyb073FLSJ6HAcnvjPjsBP99 vl6af3K+/HEp8ecv3jS/CvG9mEvx33+I8uXkJsrvAZ2oHv0/EX4Imwnvnh8h fE4Ev//1nuY3gM9/BZ+v9yd5AbgvXEH89MGPv4v4/P+W+9GSmhNh17ZMnxKW 0t/vYaS8JBoj/11P89cMy5iBwpOHRcfWHh8iZO043e5u027N64nh+l5NChL9 HkceXXyYOs3eON43Mj1kavqDIcp2s6ZL2HBZk/AkE0n/e5en1KYe1/pcO3pk 9DNXoenozpoKeQdhUO8V6zUbHbQL+qz4bHVktUR+e+9E41AX4eDfy88b3Tvr LA6dmbOxh4vwUk42Pv+NqXAs3nBS69mjOpExN8N3nQgXFHuFqtiP2CFk5ZR/ WH27WSe0oXHf/oYkQU4/99DmGyeEBxtsHBbcVtfV/Fk45ahHhhDYsFfP6nqw 0Fq082F1F0vdTPwuN43W89+nNJKc8B4kn8sphF6Lfx3+Yw/XKxdOdu7fSvZz O7v1Jb/aHCN/uV/L6igOVYgPj8M7xC3ke8B/4snj1j+J4vwM8edxVse53Md5 8XOJFZ0fH/l8EOSMx/7s0PNyCs+UJKsu07hj7KiBgVP1Jdq9c36P/T5dEvxk wN7wGDfh/a17MSovXISbC+yP6PfaK/kyM1Hbnq2XhKxq2+pwJ1hYVDDiwvX9 yyWH1wV0Pm+bK1i9Wdjf8PEtwbpPi4r920/C46RLqr13FQjP2vmUStb9E3Rm 2uxfFPhOiA6f8HW2eic27N4442m1lcIBfGdiPhLrNZJpvxnk7YT8k9Cn94j0 58OeVtjX3ZLsvRFL9ufCn9HwTx7+ZsD/f4jHIsQnSZT3PP47btE5laAOzvUi efqQ9ze32037MysFt0c0KlgZtInrulcSvOre903rdkre6c9OMztxTZAUXD9X 5HVe2OEX+vy6T4mwZqLpjg+Ti4Tos2nLu7AuLE7BZHllyw/h7/06145sIuvh P/nq3fsKTHWh+/FoO0NmvPzhn6kOI9nxguNrEkvnsM3XAtaMkh3LLuJ7LObH Y31b7OfyJJCfB30+0H8R9iTDvnwDsne2G+yHP0fgnzzGf2PI/3eIRz3is6M8 QAoneH7bow68kf9GOKdlOKeB0OcEfXfCj2cc2B0hjMWoGJQxZ9KoN8KjQQVD DLxeCXtDPDwc9w1lEVbtLm5OUGDeWupR43PNmZbZQZamq8+OFtscNO3oyWxH 7xtxfIM169hyt2fFhZ2s+9vs8+VPVzKHQRcsNnY/xFL7j8yq6+r53+9emO+E 9XbYfxzypkH+FuiLhf5TsCcT9lUdJ3snRpD9uzEOXkz+mcHfFfDfBfFIRXyu i3CV40cJcLU98GWgCeV/Oep1dCGd42ac4xvYo4/43bN8J3P4ygiWhNGm3yal c8PtmfEN+zHTFy1h060CTR9N2McyVmk1XLHZxgx+3FIc8SeU+Rm5OZdon2Cj XY5F/464zVoGF0f+/BbK7Jh7RrcrKWzvweTXGq/DmQO+ZYbQPF+/E/tnQN4z yDeBPlvoXwV7HsK+Aox/EU8B/syYTv6te0L+dkb975pF8ZiP+LQck+5DHJ9H biAc3wD8bhtDuLLcjXBl3wSqjyOoj48459M4ZwZ7nWCvnMzdZYv9D7HuGE8x 66gG/xjWsZeat+edSJbd3njiA91sZn3Y8GY383vs4iGTr0MWP2XlnmbaBrkP 2V/v0yN2+r5kpcU/4pri81kLvsswz9cvwf6HkNcJ8s9Anzz098HoAvscYO9Z 2B8OfybBv93Ag3L4/zKf4nFPkeLTYZt03+b9z/c29clLcdQfr78jvD62lvC6 K3Cn2znCHUvUzwbUTxbygOddW/jD43d/guyWPfcesnSM/T1mutoNfc10+3bY F7zqJVvQfsYK2dAKlm1/aMJkozJ2v7d/lu2I96zU49TUZXvL//udg3m+Xg/7 B0FeFuRnYgyG/i6wh+dpMez1h/2z4c8z4Ooe+JuMfrX6LcXD5ArF5+2bDlI8 h/OLjE7EQzRiiX8cT6E+WKlAffDOAcLz4RmE52uAS4eBS76oL0PUl5UoT7Th rxL8nbTI5MXrw5X/HSMGJtl57Ktk8z4ad43X+b/39ajwbYvnlrEEhU9jrbZX Mit8m2P+GtZPxn41jMqQrwN9XD/PWyPYx/HgBOznONsT/r2Avy3wPwLxiLxF 8TnVSZoXcv5mqU08rwX8LtKE+MU28IuvjtQnddAnhwPv2wPvfwPXRgG3SkX1 l4E8mo88mo94hCMeVnFjVJ8FvWYLMGYNbVNoYpbPMtZEyUR6P2O5+F6CeWuM V7Gfy7OA/AfQd0GEF6qw7x/slYP9veEP908evGAd/E9EPDSbKD6h2tI8mvPj gCri0Ua/iD+3gLfZgbcNB/+IAv/IRh9dhj4q7gcvgGu/gGslqM801Gci8ozn XTrilY145T7QC1bsK2H5GAsw5mA+C+uXYH8y5InxoEWEs8tg3z7Y6wz7U+BP NPyzhr8r4P91xGM44rO1RvrewUdjLYrvbqyrRfynQ04D8vEm9KiI+EkrztcR dor7RSbyQwI/54rqdxHyK5PnIcZHiB/Pz4cYef7yeuf5mCHC0T/QXwF7lsI+ bu8K2C8PfyLg30Dk4wb474Z4VOOeFqQjfU/jeflejuq9EnX9CHjgi7xOAl5o I+/XAU84j9sBvBmDuuF4dAl1pQW8MkfdjQeeXUZdXuH1ifgsQnzuIe/490JR PUeIcFLcfziucF6gAvu2w15uvxP84XX9DP5ugP9hiAfHvROdpO+1HCf7J1L/ OYk+cwb9+j1wdhD6lzZweCn6G+e/uZy3Acdl0R9zgfO8T/dDH+iLkceTx9cM eZWOvLqDeuV4MAfzHGcnYD/v/wMxZkNfFvTzfj0d9uXD3kDYPwv+KMA/Xfj7 Dv6bIB4M8Qm6J/0OwPt2ug/xIc8b1NfvJBNfGoC+/wT88Td4QRH41i7whgXg YzPAK7qBr3Eex/nPPZF/vI/zfpAlqkeOq7/xzfvVeVGeP4C8DMg/C32nMSrA HmPYx+31hf1x8Ifznm/wVxb+R6RSPBoRnwObpN9NOI8chfuMmQLxzAxj4u+L cb8vfUz8vhg8ta0y8f+D/L6F+4E9eC4fe8N+fdjPeTjnRzaoN95HOc/m95kS 9Ad7fHOc4/XJ65XnGefhM6GvF/Q7wh5+T0iFvUGw3wv3mXnwTxf3t0Xg4Qtw vyvGPaXmqPQ7E7/XjMV9MQrvb8F4x3HHvdAY7xFBeI84c4Xuo8W4Fz7h92vY FwD7FuLc+X23APXE79f8Xsj5B8d/J+D/HvRVO3z/xTy/j2/G/mOQlwf5PM9m QT+/d+XBvnLcB+Vh9yzcr9/j3uuA+/Uw3Atdcb9Ww70wVfQux+/ZQwrpndPy Id3DZRTofaNXEd3TZfLo/cMH7xT7MX5FPDWgvyvOdRDOld+3ClEvusChCrzP zAa+DwK+t0ffPIC+mQQ+wt9/emB+LNYvxf62wLUZkF8CfVegn+eZLexbAnsP 4Z1lJfy5jHEs3nt88U7xGO89/P1Xvl76HZO/+9jiPc0pgd6FDC7Re9tPvJt1 GkejF+Tfgfx3K+ncLJC3KkVUD79RD9dwT00BzvwBfp/Be+EkvHu1a0990Qp8 4wX4Rhh4XA6+zTCfhz7aGftNIe8q5LtDnyv0f4I9YXh/eAp7E1FngfDHA/6t hN8CxjN4fzTBu1mA6N2Xv0Nuxzvvgyn0TnkS4zDE83I87Y/GO6c+8tYY9Z8O PFCZTTiSgPu8/XPCZ0u8v7uVUt97fpP6XmQi8Yk/9cQnXI2Jp938QTzNP434 bwm+P2Jegvf5fLwDJ+I93RfvuO0iSF94HunfC3vO4d2mHPY+h/0xyLOJ8G8b 4iWDd9yheL/9ibiEid7Jxe/jR0TzK0Vxt99xRCqfXYZJ48SAQGn8dfOT7mvG Y2Sl+MKqvtI8bJmhNL9t80363uBgIH0fu9VT+p5bJiP9P0nzVul3mRei965B ondE+8HS/+OEi969g/+H/xXwP9Id/K8Uh/+ZEvC/UyL+h0rC/1JJw+h/qmT8 b5WM/7FS8L9WCv7n+n/fmOfr+X4uj8vn+rh+bo/YvujRN7pETuws6f00YWHu GDVB+OO11PvUTEkfg3dF1nqWgnlAgdKUv8ZCiKlDpvdZD8nCuo57G5ecF6w6 rPKKrk8XDqwaev5FUpHgWNQwtt73hWC8kr7bYF6hmtYrnaH9p6eQvCmQ/+Q3 6dsE/Z6wRxy/kZiPW+/wrHTDPEm0Q5vX1Y+sBVv/gu065+0k+14fDnLo6Sfc Ssm799fqgTB3rN+WItd6wavvvI2aS2SZd8lB223vFdjHkpzZ2Rf7sc6v6ftP H5qPHEfrB6bT/ldfSZ5MIMk/7Uj6bm0g/Udgj/h8q/+SP4ecab18zzMflLKm CvtWa7mtKj8ujJg9dWfhvifCsvqUtx30O7KiGQ5bgtQnsu/OLR3lmoxZV7dx SbnvLVl5BxnlffOXMGV838d8Z2Na37aO9t+dSfJmrSL5ns6k7wXsnYzzFOef BaP42+8m/6Jdaf9w886OPfLyhG4b+v0Li1NkytE2MkNWzmZex2/vSn67iqn0 awjZsW47MwiOuWy0ez9zPunl669wiLnjWw7z0Vjvhf1DvUmehRnJD0U8MkNI f68ZZI+4PkLaUb54ttJ5hBuTv02wL3XUvA0PFS1ZzfAVpy3Obmbn9xRcqCoJ ZEuUX/UYev0CO3DVOc2w9BIbEyATMXxCKHPEtxrmr2L9A+y/BHklkO9qQvqK vpB+Hz2yR1y/mY8ov79mUv7I1NL5PIL/NyD/qsXn+ydyTrFY7QUnXrUJZc+s dun6dTnBerZor1j0Y3Oab+nfsf/8j6dV/Kbv9ZgvxPrn2J8Fee6QXw99e+6R /tMXyB4xvtwso3psQb6fQf7dxnkFIR6PoU+O+QfferCK5Y0eNSn548208SGC nMHjhLQxTubqIU6JaTkX6TtgDM0PNKT197A/FPKuQn4E9PmNJ/133pI9Yvzz a0f44Y76LUD+KyK/1uH8+iM+86Bf3V/5/K+1CWkjTN7s+qJyKS14eo93fQbY pL2cSd/hmL+C9d+w3xzyZCDfE/rCoL+wDdkjxuclwDsF4Ika6nUV6mEr8i0e 59sF8dOBPQOeDnBUnXSL2W60Wd/PJZ79LKLvm7D/HeI77C/tXwZ5yyF/BPT1 g34B9oj7x6cnhM99XhP+5QJf3FG/o1Afr15T/v1dTufbRo/iZw/7uhb3+XZj Zjw7ie9sQ5rviHzYi/x1gjwLyH8BffLQ74B+Ie5vx1zJfnn407KK/JsPf73h /7Y/FI9CxMcU8VJGPNfCvhX4foz581hfjP07IG8l5A9GPEdAf1dxPHH+WcjP XciPfOTLVOSPHfLpKfKrM/LNBPlnBnu01Ch+H5AP4zD/E/Wmvpj220CeMuQ7 Qd9n6D8lI52fvJ4SUe/LUG/hqL8Y1OM51Gcm6jXDmOrXCPYGIl6yON+n+A7E /AIDWp+A/VshLwfyh0Lf/Emkv1OBdL1zfKoNJ7zyvU/4ZYj+FgJ8e8PxGfiX Dn1rEd9RP+k8G5C/g1BviZhPw/pH2P8Y8nwgXxX4uQ/6r6ZL4yfHe58gwn+j EuoHqujng9EvCtA/CiDfH/FYifNzQL7poT688O2IeT+sL+X9DPKyID8b/ci/ ifSfnindj3j//KJL/VTOm/qrDPr7a/T39ZC3H/4Hi/q7J+rBFvW7mNcH5hOw /ij2W0Let7kkPwz6uh4l/Qn60v2d85FdX4mfjLAkviLzk/jLOAfan4v4dkU+ XEE+nUT+NwMf8oAvSqjfFMw7Yf1HnG8i4mfrTvJj5pK+pOWk31zElzi/Sygk vjdoDfE/iTWtL0Z8TSroPELBHyNRb9Woz4vAkxDg31PwUd5fOk2g9bORfyVV JC/vMMm/Y0f6csB/bxVJ80/Olx1HEH82hb0+38mfRToU/7KdlC+Lwyi/Q9B/ +7cl/PjgQnjnXEj47AH8KwXeKbyg9a5XwOcXkbzR00m+F/h8d/DjgSI+/7/l fmRN97k4+bMb2x5UbJxmco5G/rtqj2UVfhvGCJ6GhumXPCbwe2H8vAKHLsfd 5ksazr0YUzZugQT3x4ShhcVyZ/6sEsK8ZSzKzjkLuGcmXmo8q27/aYPEttHC rqmzEb+PJo3RW9kU98Re8vexavzrw34S3FuTrV31qrU3RQiJhlqXF3ddw++3 ydkaO4WK8gShV+HIzS7DQvg9OLk8f+DwtoEPhffN5p3rL93g9+UUT9s9G6+l PRWu/i6LPDo0lt+rU2SX0e8762k9/12AHP0nJJ/LWaBOeu0nkT1cr7872Rnz kuznds4dSX4FpZO/3K8mxKEV8eFxGIy4aQZTPHncHBHnHUYUfx5nDZzLYpwb P5d7Z6TPj498vgDnWN+d9m9Z+HWFXz8LiRfG5nEB6c7v1wjrpztozfrgJny+ lXBiXcIuyas1bjp2Fd4SlaryKIPjR4S77FFnHd/1krJ/kn0fjFKECeta9XcP viWEqHfxu9fvhaBabZxzKTNXOFS1TP74zj9CV3dTk10Hy4WmL8rF3m7ybNS2 n4FmVY3CqWevrQKMlNiHlK1mb1q+Cur4zsT8F6yXx34ub3ANyVdXI33Mm/Qb tZA9ruPJvr+wtxX2944lf/bCv73jyd9U+J+JcQLie8dIOu95/A/hnHRxPnqG JK895K1Xna1hs26nJG8Ujb8iqrfsqzspONZPGdav9LAgZ3fK+t/oJCGqxpl1 7y0R3mWNXZX9tEko1w4K3GBfKbwPcOzuUD+UndYZ5XlPtht7pmHZN3mOwBJf djGNsFVhL6dYtriMNGfjBxh8eH5Zg/kGsaFDvayYn3qYXp8R2iwe39/703wF 1mdjfwzkTYX85UdI372ppD8qm+zR/ET2PYa94bBfJZz8yYR/VRj3w39/xNcV 8ZkbLI0TPL/tUQebkP+DcE6WOCfvWtLnj/i5NUUmtMrGC58baLT4Y5o7ZPI/ YY5hB/8VE38I3Toodr+3S4vl6jombb89gbmELV1ffWkpU3HKdSgNM2eJCXVT rF02sH1Z685b6jizlzfCDJ4s3s3O6jS81m5ey4InLloYM/0gy7p4Zpy6sIEd wnck5ouw/iT2x0PeKMh3gj5bPdJf1Z7s0TEi+57CXkkj2R8IP8YhnoFN5O9E +G+3luIxDvGR9ZHGVY4fmeGEM+uAL8ojKf9jP1H+Z36gc5xoT+e4FfbMhj03 Wi95FedNYw0Yo10Odv2ltood+b4+8lSLM/s8f96Ilvx97PULs8HHH/mxc2Fn b6zrd4Y5PlH/s+XtMRajZxZWO+ISS7GcUV7S5wzT6NnBXH9eKDM/9WDZu3Pn mD6+ozF/BetXYP9eyCuFfBkL0ucP/Tmw5xbsS8X4GfZ/xPnvQp42Im8ta8h/ 80kUj3NNFJ+wTOk+xPF52DvCcfNBhN9qmwhXIv8SrshoUn08Rn1k4Zy/4pxX wd502HtghMHSkXsOsrUY9aLrdsXKhrCpu+w+fb5znt2XP9U50COE6R1VU1Lr GMrsq0ddiVPawkpMz9xz63GeaW7XH2n96mja9yVz/t2KPsWC8P0V8wmfab0F 9gdA3mzI14G+o9B/BGMm7PODvd9hvw38cYd/n4EHqsBVT+DshNEUn0cvpfs2 738hitQnR62h/hhXS3gdP5HwOlebcOc8cEdA/aihfsqRB3+Qd/rwZyL8efNQ Q11D6Tx7h9Hx5pH5n9iFtJHX83dOzTmSZv02WsvoRFyafzenIzodo9PmPfww Z+mhxDS9g09nSc7Epv18QN/ZmBewPuQa7ZeLIXl9ckn+P+jRhn4j2NPWQrou HGC/Hvwxh38v4W/BZPJ/Yx3F44YbxUeuizTP4fziZT7xkGTwD2/0QVf0wTPA 88fA80ARLm1GfW1EfdkgTy4gT3YiXtsQP5sxX2/vrE5IW4/RpjbRJVb5Vlpn 0wcaBZfj0ranrou+On1n2qjhYX3sf8WkheF7KOZXYv1c7F+K8QPkz0Z8E6Ff H/ach31rYO812B8EfzLgnxf8Pf2J/HdZTfFwnkLx0X0kzQs5f1tRRzyv6jHx u3PgF5/AL2rQJ3+jT14X4X06cOsScOsN6i+uiurvJvLIGHk0GfGYhnisa6fR aXzqOXYQ45AfleE3jscx/e8di9q0RrOx+NbDfDBGT+xvC3mukJ8FfXtqSH8t 7DkL+zJhbyHsvwx/vsG/VvgbBv9fIh42BRSf4jppHs358bWfxKMDlxJ/bnOX eJs/eJsp+EcE+Md99NEQ9FFj9ANN9IO/wLU1wDUt1GcX1Gs/5FlnCeVZMOI1 BvFSGPltcml0POuPcSDGUZi3w/rSNNrfBfJGQf4A6AuA/jbWZI827LODvaGw Px7+XIJ/vvA3EP6/BY+dhfgk/5K+d/BxeA3FdzruIVWI/xjI+cjPB3pu4/z2 wo4MnK8h7HyA858GP1KQHyPh5xjkjzni2Bv5pYw48XiqIH7a+OZ56oj1x3n9 Q54p5AdB3wDovwx7eBy5vddg/yX4Ew7/eD56wv8yxKMacTxbK31P43nZCHw8 i7q+CnwsQl4fBl58Qt6fBp4UoC6Wi/iLJvBIGXV1G3jlibrjuGaFujyA8SXi 8xXx1UHe+SJe1zG/F+s1MK6FPAPI/w59bWpJvy7suQ777GDva9h/Af40wj87 +HsX/hcAH3l8bB5K32s5Tir1pv6zCPfrOvRrU/SZh+hfDcDhaehv94DTb9H/ TgHH9dAf04HzI9FHq9AH1ov6zWz4/2825VVv5BXvM5r4VkbercL6HtjfFf06 FnInQV8S9JvCnouw7ynsvQ77DeFPC/zL0sK96yP5f6uR4vFHi+JzN32q1DsA 79sVJcSHnnhQX38EvvRuEvX9reBTfuAF88C3bMEbtoOP/QTv2Qy+pgvewfnP X/CRBPi3FH28Enl7DfU4DvU4CjgXiO9YzB8F33RH3sVAXi3kq0KfFkY/2PMF 9vnAXkvY7wt/NsE/efgrA97TzYficRTxafNG+t2E80j3L8TPvxoQz6zXJ/7u 1SbtPzw0HvfmIeCpDPxfF/e/ZtwPksBz+egP++tgP0NeHEFezEC9JaDergDH TIFj09AfDPAdgflYrFfD/mDIWwL5/DwPQX8R7HmOMRT2fgMPT4I/ivBPt4r8 vQoerqBG8Xg/nuKzP0f6nYnfa+Q20H0xpY7uPSNW033SuoLuReM+033zmAPd m9yb6T7aBvcqGYxlsE8T8fXFuTOcexnqKQb15AqcygNORQL/dwL/eV/1xzfn V5xv2WN/FOS9gHxT6POEfnnYkw/7VGHvJozt4Y8R/HOqI38t8C7kj/cGLdyb a0TvcvyebXyW3i+O5dM9PIDR+8b0m3RP7zuS3j8+hNI9firGHV9Jf+hy0j8M 51qD9x5z1MtG1IsmcIjz+WPA9ybgexL6ZiL6Zh7nV/i+ivmPon73DfIMIN8N +pZDvz7y7Czs24F79Fa8U7jifaLgCo3f8d7TFe8UZ/He872A4jNH9I7J330O GtB7mtFjehc6YknvbY1j6N1IeSyN6iok3yKG5JshTzUq6dz6o/5LZQgPJMCZ bsCZNPSrkehfbuiLN9AX88A35ME35oLHrcd3F7yr1WL9XuxPx70jEPLLgOvb oV8O76FrPpN9hXh/scW7mQ/eUxcjfs/x3voTozXeH5XwbpZsKP3uy98hYy7Q O++PrvROKdONRlvEUw/xvapP56L1mM6lJ+o/DnhQO41wREYgHFmHfjUJ+GyA e+pI3K/UwSdkC3GP2k487Ywd8bRzuA9kg7edAY8Lx7v6BfCzD5okb0c9yZ+/ mvQVQf+QiWRPyBSyLwH1qeBJ9qchz5SQd3MQL3/ETwbvt4145848I/1OLn4f N7soPa9qIB33+rPS+SxskMaJcVXS+NvwSrqvJcpJ/28w4JE0D4uvlOa3y79J 3xvmNkjfx7Lype+5cs1Tpd4PTpRIv8vceyr93jVso/Q74lfR/ziGonfvO//D /wq+paGeGlMOa4wP136S96Nyyqac1QEvqntNlekyS/dmcT8teUmAR/jR31rh 1Tc09U7Hafc93j9wudocnezZm5SUjdJ1hjuO/LQyoZeu45VjF4bON9T9UPHV tsR7wX+/+Txfz/dzeVw+18f1c3vE9tlmjnF+cfB36oDr8aaVR39N27085Zra 997C665vrl50GibZaX8hZus3S0F1zJcpFlE+QuRcI/8U53PCozWdChUXJArH j3xcNvDDQ6HT3IMjHx0rFH4E0HeFB82vNaP1Tqq0f4gdyeuuSPJX25O+HZGk fzvsEcevG+wLVvU55GyqIMxs7i0ZWKgrWaRgubjHBF1BufPFkzdvrBKqJ8+O KPkSK7wdqZ1X2K5C0MlYu/Vh+D/hoZJuwOCPPdiphm6Df8gosA/43o95VRVa f1GN9td1JXmqk0n+9UbSN2YU6deOInvE56sJfx400PqYkKm174YZCjmSopcL I/YLjs5sSsXh+4K6WkJL5JEWYemXbSGZQ1VYh+khKt5y05nLsOr+tXfns8ly JeWrlBex5fhuMaB5W6yfjv2jIE8mheT3DyV926B/9TKyR5x/id0p/inK5N/v u7T/formZFv/dKHMrnXDhjtybLb9dOfrLfpM2Vynp72CC/vsEGc0bsIOFq07 eWhCxGGW+lfjrqNsIEvEdz3mR2O9Hfa/g7z2qSTfMIn0BU0h/fnIB3F97Leh fPnZi86j0Yn87WZP8vbsPimpOzSLfXk4NvXc4E3si6xsb5fGM+yB2i3HTW1j 2BMbT83uuslsyPwtxn+uSFghvh9i/gfWd8ql/X6QVwd7AxFf/U6kfx/qQVy/ WcMovydoUP7kT6bzcYH/v2GfzkwnheDcUHZZtqzni2cS1jnr8q++1gWsX5xs 7Gub52zKi2mT7xW8ZP3x3RHz17DeAPs7wF4LyFdAPnRQJ/1rVMgeMb5Em1A9 XkK+j0c+TcF5NSMeodBnau3uqNW9mDno23ZYNbmMVWodyPnTt5ItsvfMNjpb yT7g2xHzFlgfjf0tkKcG+SbQFwr932CPGP/S3Qk/FDOpPquQ/83IL35+soiP HfR/vHF5+dHCSjZY9nlFyPFyluYau/b+5ndsKL75PLdXDvtzIK8W8iugrxf0 f4A9YnyOOUx4p9uP8GQB6jUN9cDzTQHnWYZ4cXscX0Rvd0opZhv+rT14qUce W4HvYZgvx3qeD1xeHOQvhr5Z0J8Be8T9Y8EcwueHwL8BwJcM1O8o1Mck5N9C nO9dxG8t7PN2/Jv56VgK24TvdMwvxnpN7B8OeRwfBkIf128Oe8T9rVoUz4Xw 7x78fQ7/FRGPN4jPEFE8vWDfSnzzfOD5yvfnQ95tyLeBvinQ/0QUT37+Nqsp H2SRH1+RLz+QP4+QT7x+ef2UIf8Gwp54xI/b/16Un52wPxvyGiD/E/S1oH/p rJbOT15PljOpvupRb8NRf/qox++oz8uieuf1VC6q91J822N+LtZzfGqEPA3I V4a+Vui3mCld7xyf2g4lvIoDfj4V4WcL8FNbhJ/tEJ8+OM/JyD9+vjx+4SL8 bIU8K8jfAn0J0L9xsDR+cryfC/6yWo76gYD+8An94iT6xx/I5/HIF/Wj4aJ+ xM/3G9ZzfN8EeT8g/yz0BYGfaCyT7ke8fwahv58fSv11IPjHXfT3DFF/V8V5 lSO/rqEe4lG/UfiuEfX3+dh/G/L875J8Z/T35tGkf2Qf6f7O+chFZ+InZ78T X0kJJ/7ikUr73V3I32nobxuQTz3Al1ajXgXgiwe+ZTHvhvVW2F+M+OlC/hfo swRfarCX5kuc3/lEEN+7O06af37uRf5t+nfhP+fRCfzxBfjn4/tUn7bgm07A v8P41kD9dkJ9NIC/zmxL5xs0mOTv/Ur6EsF/g65K80/Ol/0ziD8PvULzck7k j2Iniv9sJ8oXE/B5k3lUj8vWEn4EHiW8uwE+Pw7fP8H30+fQ+lHYP385yVPp RvKDHUnfLfB5DRGf/99yP1q9wjPu+DBhyjJ5o6ptc7pIXDHy39UWWDgcTRwi aA/r8NXVYLhwY46qcptefppzH90KP3FpoqRQ5W+Rz0hViaelxqmN5uem5jcH NR/1aC94ZQwfLjduosR9iPymIYpHtT7N1T7w49wyoUF5+LbUFjvhyZD0iaHT lmrXvA5YPrzTSsn42FfnppctFB7O2/vu+oEOOjKLUh26FPoLQRou7n20nYW0 HWMfuPU8qHNUv93s2Rq3hJ5f9hotHHtUcFesS3y1uV4n9OSid8M3Zgi5le5b +/QMFQYcv+q2tfskXW2lR5dyXPKFfUcGa6opRQiHzyc03VpkrrsGvzdW0Hr+ eyXkyDSRfC6nFXo7jCN7uF5dK7KT3SD7uZ0TS8mvIPjL/RpjTnHo/4Diw+Pw 9xvFLXMUxZPHLQtxtkb8eZxNcC6ROC9+LoGi8+Mjn+8POaOwf7Xa3kJrmckS T4wDwixCJo1QFUake+zWHi0j+JsdbWgMWyyMMgzUHfRjiRBV+rJ5TMEmSVpE 9ZzWkrWS1Gtn+0qyrgvyt96seXH/oGB2ROb5jqSngpq68+5rA9KE2Mo7ts9r moUrc8x3Tsx+KYS9n/bC93ZHxpQs9F8vrhJGPj41rI17L6a34/mmaN96oQ++ N2H+INa3YP8FyJugQfJHQ5/2bdIvd53ssYR9C9+SvUEzyH75OeRPr1zy7/AV 8jcK/h/AuBjxmSHKex7/KJzTLpwPyyN5HxG/yOMRV+yiFglqQTSuf/1lYkyJ l8TyvpalwsH1knWPslqaAm4Lczotf6l5OUpQufk2oiTuk2DcbDctbewb4fgl Q6Xeu/oyZj9+8+5N7diRLdNbtxRosjlq2m2H3BzMTvfscFixYjb7tOxMm7fC RHavddzfuAWW7HXNqbCszeosB9/PMB+G9eP5fshTh/wo6BsJ/XNgjyXs+wZ7 22eR/ZGl5I85/DOBv1GI56vHFI8MxEdRVRoneH5H3Kc66P2T8n8x8swTedc7 g/TJQV/YqfN+LfKxwjaMR6pzY39uaBQevF28yy2uWijr5drjmMt4Zt/tu1xD 22Esb1aHnan+Vqx940j11f9mssXPXW7lJ3gxN/npbHtbRzZpXRszz297mXV2 lwDZMk/Wa+fSDLkPR9mjYVaTFsd5/ffbBvPqWO+O/UshTwHyC6BvJfTL9iZ7 cmCfI+ydeJrs34RxxBvybxviaw3/tyNvPyE+P3KkcZXjR/gAwpnDwNlTVyj/ Y1GvEXJ0judxju3ekT2BsCfVdOaib3sms7sYi46tsIv+5cy0/7iu2nLGga3e 9l1ioXmI9ezYu+jrn51Mz1f797l9V9jqKeXaPepOswRNDcMO1nHsUfVUw2k7 rzAZ/3af+nukssaOp/R2h11j7fBdgHm+3gP7BcjrB/ne0DcD+j/AnjzY9xCj J+y/jPia5ZF/j5G3J1D/Pa5SPAyAv+6DpfsQx+eoi4TjNa8Iv/WTCFdCgHMq TVQfK1Af+3HOv5B3arC3DPbe+PRQMXHUMXYT44dq2w7nhseyG243a0bdjGYp zbE/c9rlsMVdMvtGTkxnQSc7npRf+ZRNe1+h9dwnl21smVI5xOAl6yx7Zd/q 6Y+ZN775/HGst8L+u5AXA/mfoS8W+uMwvoV9PL6tsH8N/FGEf/Xwdylw9cYd iofhG4pP2lXpvs3736KB1CffLaH++G0K4XV8AOH1azvCnUfAnVGon1zUjzzy wBN5cA3+fII/9285HFy+Jve/Y0ipx6ogSQmrTVjatYPGS1bTfu3tpv4VrEE7 tdUg9x2bFXzp97CDlez+qiszN/Qs/+93I+br+XrsD4W8B5Cfg7EO+nl8N8A+ nrdvYP9w+HMX/rUFzg5Ev8pAPMrAH+4PkuY5nF+U1RIPuWBA/KNyLvVBJ/TB wsmE55HA8w3ApUXApRWi+lokypMa+HsR/jps8NU5/7OC2WM89Wayfkv/Subn 26FTc2wl+zDb8VeZXhm7qHm5uLh3JfuI752Y5+v5fi6Px7MO+iTQz+3h9nnC Xo6rq+FPOPyrh7+O8P874hGL+HysleaFnL+tKyOed+wU8bsO/YhfLAa/CESf vIM+uRx4PxZ4nyvCLW3UH6/XWuQRzztxPBqjZi8+//41q8c4WbVm4lT3Avb6 dZtLahrPmSa+v2D+G8bT2L8b8qpFec3rX4A9d2BfPuzl/Yr3r1vwLx7+LoX/ yojHWcTnVJk0j+b8OPIQ8eg34M8V4G1twduiwT9ywT+eiPpoM/pBW/QDWeDa BuDaPdSnMerzPPKsAnlWgnhNQryWtQxe/nJpOrPD6IBRA/NvsV6ctyYiPPCB /q6w598Bso/b21fEC/LhXxb8bQf/qxCPJsQn4pD0vYOPYYivbj9a1wy++z2f 5PB8LIAeJxE/4efbHnEURP3iM/JjBvzk9VuJODQgv3gcJ4viqY5vHsdmrP8g qncxjnL93J5WxJHby+O4FP7kwb9U+PsX/ndBPg5FfHg+8vjxvHxcR/Wujby9 DzzYjrz+CLyIQd5vBJ5MQV1w/pGMuuF4dBJ1VQ28qkLdLQWeHUdd8rEO8eHx fYm8e49vXv8nsf6kCCdrIZ/jI8cVzgt4XbvBXl7XnvAnGv79gr9u8D8X8ViI +CTVSd9rOU5aKVL/qQCOntek/sRxtgD9+i5wWBv9bRnnv+h/BsDxSPRHjvMZ 6J/n0QeCMfJ4fob/W5FXM5FX51CvPI+3YZ6vt8P+C5B3UdS3k6A/FvZMg329 Ya8t7B8GfyLg3zP46wD/jyEeRYjPPEXpdwDet2uCiQ+9t6a+Lp9MfCkBvGcS +NQz8ALOH4vBG3TAx9aDV0SDr3Ee9xEjj2ci/PuMvAlE3tSgHjlfTAPOcZyt xvx/12M/5wVZkF8FfVx/POzxgn3c3nzYvx3+cF43CP5egf9nEA9rG4qP3znp dxPOI08OIn5+Fe9DH8OJv/cCD1UFv18InvoE/J/z8GzcD16D55Zg5Dx4FeyP EuUFr7c41Bvn2W2As5yH8+9por7LeTi/H3GeuA76uP5y2FOJMQH2NsL+6/Cn PfzTgL/c/xrEwxbvTD0GSb8z8XvN4Sy6LzrMo3tPNu7Xp9/QvWgs7tebcC/c gXt1GO5VwRhzYN8X2DcN516Ic1dEPS1BPXEepwacygP+8/7VhL4qj2/Or/h9 3BX7rSGvL+QXQZ8u9P8Vnbc77PXDuAH361m4F3bF/Xot7oWfjSgetYhPcLb0 uxy/Z08aSe8XnyvoHu4STe8bmvPonv72JL1/TMA93hPjPcSzAvF1wrl+jaZz dUW9JKBeegCHDgKHlgHf9wLfF6BvJqNvZoOP8PefJZg/h/WrsD8Y8vpA/h3o c4L+7sizPbCvCPbmwX45+JOLcQrefV7incL8IcVjN95/d4veMfm7z8eh9J52 Ipfeheom03tb+UV6N2oTQqPmCZL/Gu91ing3U0TeXumM+z3qYSHerfRxv5qD +9ZD4PdKvHvloi/+A99QA2+rB4/TwPc3zF/F+unYfx3ypkK+IfQtgv71sGcc 7DOHvR9h/zn44wn/gi6Tv/vwbjgL749D8W7WW/Tuy98hF+CdtwveKX9b0Pga 8bRCfCuT6FwKP9O5HJxO+d4D+X7pGuHIoLeEI3kxhM8n8f7+VY363jq8f9eY EZ9oOEF8IluReNo1ReJp0duJ//LvFsx74139AN5xMyDvGN6Jj0LfTLwj38X7 wiTY1xv2jgZ+yTaQP0Up5J8F4uWG+E1CXAZh9BG9k4vfx61E82VDpeM+UEU6 nwemS+NEyRBp/L18W7qvDfk/1Ln5O9Vf1D6ukiaVIQ2aB4UMURrIa6N5TqVB UhnSYC4pTaQkohkNCmkgQiFDzjE0p0kplVJSiRCRkvg+V+ve7+s65/t5/oDn p33ts/de615rr3Wv9dpnvGS/UNUg2YepfJbsb2sOS343GH+S/B6zkfr/Y6ee 5PvB8yTJd5mpgyTfu2xyJd8RT0j9jyP9f4/r//K/QoHa+Pu/xgQlK/YP6RTd +DHFJknpW2KF0vVb49y9vJ73SVN591Lb9VBT2lLFI/0UwlLSbyq41o7Qn5MR kuRc2DQpJ8OsfUH8pOtKmSOy5o1smj8ps9vKmNNXNy/8b87X+X5+nsvj8rk+ rp/jkcanmdwusPuYGuNRxsLnqPRewvnhwz9vvjBONMP5RMcutTOFZ9URnW9l mIo2ixd3nzjQQ3gb0iF3c0mCsLVl3eda5wdCw4X4sw+9Xgvvncd7t855L9y4 RPNff2ld/yDtN3lH5+ddJHmd7Ul+nhbpe8JIvyiG8Ej776sprS/Zsq3d7osm IvO2sokLu88X4ua/G7Kts4LI7GbfkBiNs8KpKc9Gp6k9EwqC5eNdN/4ULtcP tnoa0Z1FHfjaxjW/HxvZY+Zdp32D2YpAmiv+pPVK7DeYTOefppK8J2fe/JMf 3Ib0BXiQ/mkmhEf6fkOHkj2d/7T7t1/m2uX232+tEXK2PPh6pVOk0EbLaEG5 6XuhxF1Fpl0/ZXbcvOnyC2Es0z+z1DVQZS57azLjxB9DSzbXRKQ0fdlK9gnz 3Vgfjv2XN9L5YMgbuJXkq54hfTLAW69NeKTjr2kL+X96C/mv7U46f9DFafn3 haWCnI7oUa7xMPb0yfEpKWJzdqVm/KNRL13Yqt1y1+Ys8mEnv78517tpP2sj nB2luzqIBWO+A+uHsP87zo/RJnlG7iS/xIP0pca++qf/ylLC8//LjwKKl1oR 3Ycq7L0CecsFh7H7hlqywXp3Cu2u7mS3zp4z3qVwlF14urFLnWY4c4/dMufs 8gi2dInm98QNEcwX8wqsn8T+hTi/FfISId9tJOnzziL9t74QHun8bZFb8i++ jU0pfgZsovtJgf1LIf+DxaX3XdeGMg3Z17ZBphEsRzXsb3LqIZbaS2ttwOrd 4mFb3bwUNx0Ta/Wh+dq+tL4I+5NwXhnyaiDfDPFQj/hvvkP5Js0v5chfRcS7 E+LpKO4rD/6wgb5p156fXZylx1wqq0etvRAvrj996cHM8yni6HlzFNtqpoot wmn+q4LWdyTSfnOcj4W8FMhXg751B0n/giDCI81/uX+IP2YgP/UQ/96Ir2x+ v/CPFfBNn2G27JZ9injjnLhX8oMixceaT+2137xJnId59XRa/4z92fB/IOT5 QP4G6BOgvx58J83PkeA/H/BJOPLVB/mwAfFW25Puswj+i5pLeOKOvpjgt+IK 6z31U/Ti9iksGXMd4PWDf9URHwchLxLyL0BfMvS3u0h4pOuHvCvxc4Ey8d82 8MtHY8pfT+TH/S0Uf36438Vyp//5ryvwGdqoaWqJUlkbzKtayb88HiYgfkdA 3h/I14I+V/DvLyfCI13fZscSfn/Y08eU7LsAe7n993uTP1rgT1f4Sxv+a5xC +MqO0Lw9/D0E/gxVofObIO8Q5J+GP1uhX+GCpD/5/Tu1UjxMbqD48EG87Eb8 fEc8fUB8PUG8uSE+a4FXDf67jflErAdh/zacz4U8D8i/AH2W0H+jzXqJ+OT5 lIX6Ow35Nhr5x/PxCPJzJvJV8zjlbzj0r4e/duB+e2NugfUOsbR/Ls5fhby7 kL8P+uzAN60hkvnO+ckhm/jqBPirHvXxB/hNC3z3FPw3Hvpy4R8dVbpPD8Rv EOLjB9b/tqP9P3BeCfI+Q/4r6Bs3lfRb50jyJ+d78yri/+Bsqgc1qA/xqBdz UD8MID8S/hDj/vwQb6bIDwfMy7F+E/t34Lwx5FVAfiv0CdDf86tkPeL18487 1dMbD97+q69/vKjeHnWl+psJeQ9hvwj3ZY34WoJ8eIP83Yj5Oqyfxf40nBdD nifkx3qSvl9bi//p13GQrO+8HzmlT/2JbkfqV26dov7Fdzudt4K9K1HfdiGe HiL+eX+0EvzyDvMkrFdi/yOc34b+IQf90rRU0pf0l/o1+RGS/RLv77ymU79n 5kX939j2hLcuk/w7Nofuoy/6R1/Euzb6z7gA4pMG8O8B8Is71q8H0f436B+8 0O8MiyD5Ic2Eb4En6R9jKtl/8n7Z+hj1z/tn0nqdHtkzHP3e/VaKl65FFN+L kI86ssQfv8C/Di7Ez71jaN65La0/PUv79/yg86/ySF69I8lXGkb6QgTS/y5R sp//v/J9NPqnoLl4iJCy2dan1kKpr7AcI/+9XZ35jx5yXUSNf96XbjmhIBr1 ysP0naJP6pSDqW7nY41ELtsqjvVSNhOdeSp+xOafun53Vz1rqbIRFHc/fbPc xEZYMiX9dGvPQ2mdXQtj5IZ6irwXl/TU3bpSdDVj4JY1xivS97w/oHR/sbeg 1DjgqWeku8gnR/Pjzv3tM8Z1XR0ZqhQnTO9ZMVd2SqDwKG2L9xjFwIw5YQb3 p4zLERTOmypPXnJRiBev8zy1rTojR8VM/5v2M+GQaYHZq4Rk4d7khgirbqMy ZXuKBtSxt4L3sNkfRBVpwoRuwUcPLZ6fuUWJfj85jfbz3zMgxz6C5HM58SdJ 70N5wsP1xnQinH++EH6OM+o12TVrEtnL7ertQn446k3+4X5I8Ca/lW0nf3K/ rTxEft4H/3M/i6voXjrhvvi9tNhI3h8f+frMJpJzrpbOh5gf/et6ylCkN59G j4gOS9or2wmKF8pvn31nIxxutKuId/cWyWq+bPM9yVPEckIvJp05LUSX7LQV f/ERKjd96J2Sli0cWn1mR4NZqpCipnDZQ+aTcDtj+EAti2fC+I12rPaILBt8 pc+QCT8qhDLZg8/fpPRkwvnfT+0MfgsnzftNzN0wiHVK9F9dWNYivMR8QTSt P8D+RJz/4U7yjG6Q/HjoK7Im/bmbCU9AEeHLEBHeLyMI/0zYs/Ai2Sc6S/am wf4h8Ecu/DtJKu65//286J40cD9u50meKfzXsNYrolFpp2jIBhrb7u1/5LJz hHCj/MSSmHanhL26Yeadu9wSWu/LODwuzxUWFJ+yvafchs2Z8cSgNLRW6Gh+ /l6fKxrsa+drdlNn92QDzWy3CSqT2dp1IxY9MdJl77c6Do+JWsR8i3KXut8w Yh3WzjUstF7B/EyeqQYnm7DbDjSvxXo59nfC+XWQ9xbyb8wnfX+gfzDwrHpI +MYCr+8nwu/tR/bcgn2hGGPgz2Xw7xX4p88OSZ7g8a3tS3kQAN7Q16J7uvKT 7mlNBembD/+NMjiuMNzjpnBsLI0X7b7lzCvuyppmXbhkOLgDsw2bPflEoQnb NsJ++myDscxJHKUgb2DDdoUN1GuzwoLZ/jgQPG71FiZq+2H0Fu91bKDSrnZ3 GvaySWKzfPesTezt9NM1plEH2I8+z43GGG1hrZjrYN0U+yNx3h7y4iF/NfRN hv5E4DkAfA9tCW8t8GuOp9Ef/nxUSvYOQJwuUyN/5IIf2u6S5FXOH9rmxDNZ bsQvGu8o/tfkUvyLHtA9GurQPZYDzyH471HEoNphqyezVIwhtYErHAuc2byL lfN7jl7P5Guenn5gvJ+dqSnv+nKhLzt3sWbcodNhrEIpvE3xmCPsT2OgzsTK syw2Xq8++lQYU9dwMHt0NIJtM6y5Fyk6yRQxT8H6b+z/jvOJkMflt4E+C+gP Bp4W4HuGsRr+7Dib7KlFnFbA3ic3yP5g+OO3E/knylyyDnF+XlVAPH6shPg7 z5J4ZaIH8UruTMoPR+THINzzHtzzHOC9DLzfJlifKRcdYAqGNMYt9bEYP+kM Sxv+Uq+302lm/vabz4d5p1mO5ZDhiwdGsOse9q8naziyWIsJahZ2YexVZd9d SR2OiP26qffb1vMoq8f8IdZDsD8f5y0g7xPkx0LfX+DoDBxbgG8u8O4H/p2w ZxbsY+ADffDqcvD84bfknzcNknWb178+qlQnY9pRfQxFPZg1gvhauQvxjht4 xx/544v8CUUcdEccfIQ9RbDnolb58Q2uYewGxrY1ukebG8LFL+aXO8VPOSxW nbVx2rnka+Ki929FYR3jxCn2mlnbZ/3Pd37vAFO7gUnie5g/xHpf7B9iTuc3 VJO8csh/gjEG+kuApxPwnQPeVcCfAHs6gcfPgGfNUK9yUL+i5ck/VXKSfQ7v L76fpj5kLvqPoASqg5Wog2/XEp/PB5/fAC85gZfeIr/ykF9PECczESc74a8v sPdIx9mGGqkp4u0Y7138+zOwOUG8e//314teXROXq7VZf+bLPrFOVoFTz9QE ccBwmk/Ceir2n8N5T4wiyDeHf/WhvwR4goGP88EG4E+EPY6wrxH2dkJfcRJ9 weBT5J+2kZJ9Ie/fTCZTn+fTk/q7/ug/BPQX11EnP6FOMvD9cPB9CHhr4i/i rQDkX+gmyj+ZDxRHBoijffDHN/ijZ99xQvs5x1ksRsWZFabXqq+x7BzFPs1/ YlkXzMuwfhzjU5w/D3lakN8H+k5D/2PgaQWvngBeBvxTYM9r2Pcc9ubB/n7w x230v46TJfto3h9P0qA+Oh/9898r1Lelom87iP4jD/1HMepoI+poIOpBf9SD OPCaHXjNGfl5FfkZgzjTG0Zxtgj+qphB/iqafcwo7UwqK8AoxigPf+7D/iic vw55XpDvBn1a30j/IeAxAD4r4P0E/CqqZM9j2OcAe6Nh/wv0sZ16kH8UB0t+ d/Bx0AzybyL8mH2O/F8HOQ9wPxXQMwL313kG4bgoVWflF9P9j4QdnPd8YGc8 4kcT+bsO8fUNfqzFyP34G/P28GMM9msg350hbzPkf4c+Xp+uIx5HA99R4H0A P86HPbWwLx32OsH+HYjH7Srkn2Azye80HpfG0ZTvOojbjuAD7fYU19PR71Yi 7jPBJwuQF03gmzrkzQvw0XpXyqsU8KMR8m4P+CwQebnsEo01quQfXfjnFOLu M+b7eP7jnDnOWUHeIMjPgD61jaS/EHjkfkn2S6OAPxn2vIB9s2HvR+S1Qzz5 YwX88+KC1HcteLKlC9UfQ9SZGahP1agz0ahfNuDhFNQ3B/A0r9ex4PEvvD6C 56NQP9/xOoB6vQX2r4H95oirj4irDcjXaJ6vWOf1Oh3noyH3FsZL0GcC/c+B JwT4TgPvLuA/DXvmwr5m2JuMOtOK/mUT3h8i+kq+A/C6fRL90GjU9Qb0S6NR 96ein2pF3xOGfmsx+gYj9GMd0Vd0Qr8Wir7jGsZC2KcC+94gbsIQN9+Qj/3A BxPAc6XIT1XUj8eoH6tQl5dAXjHk50FfMEZt4BkBfFrAaw/8UbBHC33P7+lk b0/YP8KG/DEE7zsLf0m+m/A+cq8F9edx76jPNEf/boE+PA/9/Xj0qYX4ntmN PvYhvg+i0efysRZ9cEs14X+NuDiFuLiPfLsHPqgFj/UBj7mhPgzF/AXWq7E/ F+dPQN4LyG8Lf32C/gzgScCYAbyewF8NewbCvsewtxL2K+D9xQf+KVgk+c7E v2sW4x3uJt7fGjXoe/JqNn0XZX2h701VfDel4rt0Hr4L9TDmAZ8b8PHvwq24 90PIp3XIpz/gKf69nAz+59/XTqir7zGPwvo47G/B+a2QFwv53tDnDP07gec+ 8FkDrw1G53Fkz2/Y5/KZ7O0pJvtD1Mkf9niX6+sj+S7Hv7PP7qT3i3U+9B3e 4xK9b2j/ou/03470/rEG3/HHMCrBnwH47u6E71T+fWWDfCkEHxwBDy0HDwWC 38+B34ejbt5H3fyC/uod5rpYf4L9YTg/FfK2Q/5V6JsL/UOBJx1xVw1/3QP+ qD1kz0E+riN7s/BOMwDvheV4x7m5TfIdk7/7yDTQe5ruUXoXWryI3tuUI+nd aCjGFrwnPcQ7yES8m31G3AYhH+7j/fEzeFUYTjzD+dsI/B2BurgZfYHyK+o3 rqPfCEAfl4J5MfqRXtgfiPOnIW8jvl+N8T2bjncBX+TnN+A7Cbx/kGfH4a9G vA92wnuhMkYzvD+OxrtZpybJd1/+Dlm7it55Sz7RO+XhMhpF8GcD/FuOd7gw xK3lSIr3BrwThbwnHrHEO/yalcTPHfCu/R11z+8E1T21OOonbipRP7EdfWsu +tjkBOp/c5RpboF33PAetL8K5zujjmqkk/w0OdK32or0y+B94dIbwheA/IwB fzkizjzx7nof/0fk4R33Tg35ww2jvNQ7ufT7uNVqyfWPDZJ+r9khGc+fdkvy xJAlkvy7oEKyrvXuI9kvPI+X7MP0Zkv2t7tHSH436E6T/B7bHCv5nbtJXfL9 YNUbyXeZs7Ml37safSTfEQdJ/Y8zo0ny3bv0f/lfQdlY7e/A/H1jdMYv8/w4 +b3B6K1Tx/o86zZu7/yRF8VdVMaPvhs+8VN0w3jXy4dLdMKSJhgMsbj4/N40 w5sdTG/GDrlhqLB8g9+1Xd2MJrv7lOt6/U+6Fk7OvXh93n9zvs738/NcHpf/ nz7o53ik8U0//XOY9dofWYsDtvZVmd1qrH16a82YJa3GriYjh663Lcz6oKxy wd9toSBzdZljwktvYc/Y2Mg/HheEm0Eb6hP75gkr66afWOL5TChaumbU5P1F gjXmrw7QevIY2h94jc77K5G8CAetf/I3bSd9lQdJv0M44ZH2nx3wKXxOnqcn 99FYpYYNK1ynJ5oZ26TZnDpVGJuzct45zf3Cd9GJ/Mfz8gT1emGok3qVkJD9 uTXFuwNbnCPjNu7l//DTdoV5wy37sVmY12D9AvafwXnHXJIXdJ3k7ywnfVey SL/3IcIjfb/CQbKnuJL2LzsdN2HPzyVCjfO1oTfHhAh2Mb0W9vIqEHaf+W40 NqwjK0qIzffaMIr1G2Xuq9U6nS2eZaUwMmEJK462Vk/XXsGWYq6I9cfYn4fz 5pC3wonks1DS1/8L6S9zJTzS8afgRPdbHUf29QO+zqm5500Unwsdlbbf2HSj J5PNerFkJZvBdjbu6J/R04kpX+l6Z0mJL5t0arn+9cDD7OD9Na2fehxn0zBX xXoA9vfFeXnIuwX55x1J3+wM0p/oTPEgnR83EC8TcR97YK8S5A2cNOmRed4C 9q7fHJO6xF3s2Zn4UQlF4WynvXqDy+Ykpju4aG/980z2O+pCqc3AbKaDuQ/W +f7fOD8I8jpAvhf0jUN8xSMfpPN3GOKbx88Z3I8S7K+G/FlWt5YZapxn08p0 x5gaZLOpW5Jbd2Q+ZlrHf7TtaPSCVelrrC4PLGI6mJthfSb2L8D5OsjrAfm7 oM9LTPrnJBIeaX65OZry8QPiPQfxdBT3xf0xFfreZe2vlu/ynF3xaaw2vljC FmvLD1h8sJTNbvNUdl33j2wp5klYL8P+2Tj/GvJCIf8O9A1vIP1tgEea/1oD iT/G5lB+tuhS/A9CfO3C/ZnCP/Fc/8zHd6bM/MgUXjwXvVn+gZk7ZynGrClh Sph/wnoi9k/G+R2Qx+O3CfrmQH9X8Jk0PwfWEt95gU9MkK8zkQ9aiDc13KcF /KUIPAoLTjyP2lzItncqNs4Y9oipYM7x8v08PrQhj+ebGfSdgX4b4JGuH8vB z8vBf/ngl2PI37/Ij0rEH7/fufDfVuBbGKE/RPV/9nnzOdbnYz+P3ybIOwD5 N6EvEPpzlxAe6fpWCPzOsGcq7JsNew1gvzr8MR/+4ffdHf7zAj5lzLtjfZmU P0dC3lTInwx9QdDvLOVPfv+GiAc9xEcn8LMa4ofzC89fnj9vEX9dgWcW/Mfx 8/jl+WQmFZ99IL8N9GlBv4VUfPJ80ten/NqFfEtG/l1GPhYgPzkfFSN/Y6F/ Efw1C/drjnkc1j9gP+enR5B3DPLToE8b+vtI5Tvnp6Y44qv52cRfk8FnI8Fv leC7meC/KdDH838E7vMr4k8D80lYnyrFnzWQ1wXyraEvEPzZToo/Od8/UiD+ t0Y9Wob6wOvlCNSPr5D/EP7wlapHPD84P/B69QL7f+C8KuTx+hkCfd6oRwOU JOsRr5+DTKm+342n+pqO+j4B9bdKkeTJwP79uK+uiC8B+eCP/DXBXAXrh7D/ zw063w745kC+EvqRzgmkP3vjSIn6zvuR3P3Un6z9Rv1K+AnqXwqAtxH2XsD9 lCKeNBD/y5Gv1eAXO8wHY/0d9ufgfD7k+QGf2lnSZ41+rWeAVL+E/u5kEPV7 j95Q/1f5lfafvUj2LRPRfdij/g9BffVHf6kIPlEA/2lgfh3rbtjfF+eviUle zRWSv6CK9I2/S/q9giX7T94v70D//PIArR/zJXueTND853/t3hQvX9CvPEI/ vyqY+EPpB/Gd3zLi52r087no93MNaP+VZHwP9EL87aL7XRdM+kYBXxupfv7/ yveR0y2XFL+g8QarRqnWfOjWnLUBI//9vt/sZA09VeG8onuHxy/6C0vtm6+2 ebptbHXi99Zu3/VEUTc6+avl6IqM9t8dqmMaMs7352hbb2tDQe7aq98ba4YK +p+/2uuPDxgfd+vYuEuXZgofbZZOv2G3RLjYJapjS8GSCSFjWg7NdTcRHalY vjSyeI5wbZrj8vkH2hj2dVzWv9ThpLC+/6CEbuFewqqzPZSfdPUzbFtUIbPm dbqwbn/ayHZPTgmz6nMnTnpRbqgW/DO819CHwhAHiwfeE+ME875d3QdqahpF aHWPNWsuFJr7tbOOupgkfI4Ltbh7dqbRYvy+C/v5716Qc20vyedyhr4ivZN7 Eh6uV2cD4UyqJ/wc51V9sssc9nK7Xt4mP9RfIf9wPxT8Ir/Ji8mf3G+Hk8jP y5XI/9zP6/bRvYzXo/vi99JXT/L++MjX1+Ae03CvgvmBDL8kfdEcjBMNdnnN fmYqfL5z7ULWlAnCsGQfy23pasL2g5cSLOeaCpdXxn1/d2yScDaq75ADmxaJ HPveuC+KTRG8Xom2pOZFCukmyo21794JU2YvtZy06J5wfnvzlfyefwXXx7fl 7Ud+FLq3nXdm4GxF9jpu9WBfhzrB6eRd2asTVNn5a5ONZj//KXhi/hzrf9rQ /gc4vxDyes0h+W1NSV9H6PcEnjtnCZ/tcsL78ijhN7lE9mx7QPZtH0v21sL+ Nxh3w7+TlSTjnvv/SBbd0y/kwb57JG8X/BfS1VNf/GSEsFaFxjq/H/1sj9sJ p6c99pq2Z4Xgc7m3qf8vsaCU8jBjhHGa4JrwtXrb33ph6c72zcqq5ULBdmvd q5sHs4wJe9Vun+rGej0qu6DUy4Rd7CTX5/yCEUzLP3efg8YCdtOvRs9KbSwz mBR1dPJvS7aHLTDxnW3ExmB+B+v62L8f54dDXgTkP4O+M9B/BHi6AV8d8CoI hD/Yn+xZ347se9+0+d/I/Tkxn/wRiviNE0vyBI9vuWTKA71Giv9DiLOyBLqn sVNJ3+69pO/7/kdqBu9FwjWMg636NV3SkmEKspPevXv3W9hff99gzvmxrHbK 8fG+qVrsRuOW5vYpK5nZseN29R/ms/cW8kKPlq3M/OX4ja9jHJjGfJvm1NBA 5ltg5TLVzoMZHHixovT9UfZxm/38EfVb2TjM+foo7F+A8x8hbx7k34K+Gui/ ADw9gU8FeFcEEP49GHvAn5cmkr3ZUWS/DeLW6jf5RylRklc5f9StIp7xuEn8 sjmc4j/PnuK/He7xMe6xP/AMAx7PBFbUpGrEHDHuMFw8dLjYkRVXFM52tnVg 5kvqVDLFh5jSpWS1WOV9LM9DOVNO9hLLMXBX2HL5NPM/ap/3+1sqs9B9eCG5 5SJLiNj9wqKLmPm7aj0YuyiOJWG+GOt8/y2cvwV5fSDfAvqqof8o8OwBPj6q Av+fdmSPVhzZtxT2fltK9p8HX7mBfyuk6hDn5wnVxOPzRxF/bwGv2INXFiM/ 9iA/WnHP4bjnV8B7AHi3Lv5Y1kXtGNuF8WfSp7aa0ddY4GiXy93yEtnqtYoN 3RPvsLgB1VpujTls7c3VpTUuz1jT8p/OFl0esOYgb6MC2SI28mLIhoirj/6b N2Od7+fnV0FeEOQ3QZ8P9Pth9Ae+SuCNBH7ZqWSPM+wbD3szYP/W1+SP8PHk H7+XknWb178yRaqTgaiPAeDrO6gP1uCdN+AdC+RPDvJHEXGwAHEQAHt+wR47 0Y3F49o++G90m3Zk+pQVr1n/5uPnvvx+yYZm3Gw1PPuBjVzYK/lQ7xKWx5Ku eLWWskyHsTXHz79ntzDXxvoI7B+I8xshbx3kr8f4F/qDgWcJ8PUD3sfAvxj2 VMA+N9gbAvtr4Y8v6HMqu0n2Oby/6LGb+pAz6D/0nlAdHIc6aAU+1wGfW4GX SsBLWciv28ivWKk46Qt7XWFv4eADA867lrLnGL93njkhPKWUvZvu96L32I/M 9PzNgaEj3rOk00djFyaUskmYl2Kd73+B80UYPSB/APTZQn888NwEvtvAWyHF 09qwby3snQH7p8EfcfBPkY9kX8j7tzl21OepHaT+Tjue+osS9BenUScNUScP gu+Hc76X4q2fyD975N8IxNEQxNEH+KMG/nALZe8uDS7+b2yY0me1UtITdibx mLPHqxfsJ+YeWN+MkfuTyxsG+Txu10P/H+DZC3xLgVcX+PfBHiPYFw97y2G/ BfzhAP8E20r20bw/lkEfnYH++SX6tkXo2yzQf0xA/1GOOjoWdTQI9SAR9WAE eO03eC0N+ZmL/LyKOONxdxr+qoe/ypLaqX+Izftv/ISR+zMC+81wPhnybkJ+ BvRJ8yzHtx94xwP/J9hjAvtsYO882K+WTP6og3/eqUp+d/Bxtj35Nxr7usP/ SyHnLO5nIvQE4v44jmW432Tg/CNVL9QQH9mw8y3ixwR+4HHI/dgg5U/uv0aM 7thvJpXvtyFfB/q4fo7nilTd5/2UP+zhfkyEvWawfwb8oaBN/rlhK/mdxuPy FvixAt9tmuCDH4hrzhfjEfcrwSejkRc3pfqXy1J1uB/4ajDyrgB89g15yUcn +IfBP6cQdzxuN2K9FvuleVJNqv5w/ZwfeV6LgZf3oRawh9vnAXtrYP9A+KMZ /hnvK/ldy3mygzzVnxzw6OK5VJ+MwLOjUb/GgYdtUN++gKeVUf/ugcd5f8N5 3h710wV1wAkj9+cg2M/rDM//BORrjlQcc57l9YrXL3eMG6BPuh/ifasK8H4C /kWwRxP2rYC9k2F/Her1Qfhnu4LkOwCv22lZ1A/5O1Nd71BM/dJQ1P0HO6if akRfMBT91h30De/Qj/H+l/eNv9F38P6R+9Naqo47IG6GIx85r14HzzVhzuuV g1Sc20DeWsjnevnI+0eO7wPw5gF/G9jzAfYpo3/cAfsvoX/8hr7Ho1Dy3YT3 kar4nlHXoz7T4zT17/z7/mUy9fd7+XcqvmfOoI/dhu+DAPS5+zDuBv55wH8A ccH7oytS+fZbisc0UB+uYt4kVXd5H87jjMfdIujzhv4g4DmE0QN4TwL/D3zP LId9A/E9Ew77B+J9ox3ezzqslnxn4t81C67S96II729XD9H35BS84+yaTN+b qfgubMB39Uh8Vw3BuAP4woDvI+79Ju69B/KpFPl0BzylzXkK/M+/r3ldHYP5 QqzrYH82zvPva56v96CvFPqPAw//fh0IvEMxOuL72hDfhdGmZG8vvAv9xnuD LPwTcE3yXY5/Zy/Ee89lvG8636X3jW/X6Tu9Xy96BzHBO4+AsRb+/Ar/PsO9 zsG9fsf3I/8OmgEe6gceMgW/DwG/b0fd1EbdfId+hL//8HcKXeyfg/MjII+/ U7yAvkroXwU8pcBnAH8Zw39+vmRP7m4abyuQvfKJZH8T3r/i8I6jJJJ8x+Tv PqPxnqaNdyEfvLfNxbuZNcbh3Ul+BuQPmkn3FmJL9/Ye+XAL+RAJnqkDzzwE f/P3xyuoi0Pw/liIfiMA/UYI+rhgzAuw3gf7z+K8J+SlQP5QvD+KoD+NfycD Xz/kWbcphN/rKtmzFO+C5bC3F97NYuGP2fCPstS7L3+HTME7rxXeKZdh9MJ5 Pf7uhnvJx72EH6B4L8ijeM+MJR4JNiYeiS8iftbDd/sYvOOq4d1dA++wXkHU TwTgnXYQ+thV+B7QxjwC68XY74bzdyEvGvJF60mfDfRvNiI8By8Rvkzk51/k axvY44c8NIW94bBfH/7oj7FllOQ7ufT7+Aapd/SfipJ+z82SjOff1yV5Qt5e kn//NkvWtb0DJfuFa4GSfZjuesn+dvoAye8Gz3WS32PWUv9/PFGVfD/Y2ir5 LrPBTvK9SzVZ8h3RN0vyfVZP6t27///yv8LfiS3yOx7sS36gck9p0+T3KS/d 6tWuFHS7Ht7zcZBuF5W0goa4zubRDWlDB5Q5pIYmpYcEf7ytd29axs3DFoMq Bt/ImOBbdq10Z7fMx0FVNku3skx9vWehj1Ln/Tfn63w/P8/lcflcH9fP8Ujj O9I02DLeUlaYqGrg7tKuKsv/3oYds7r1FlmPHbFArttYoWiUtcJK2zHCoee3 XMfOOyxEbniW0tkrU9hn+6ikOfK5ULb9kYv6u1LBd9OFHyWln4W0HTQfs5rW j2H/j7d0vuj3in/yRNNIvkwp6ZtfNuaf/vW/CI+0/9SNCF/8Ue9NiuYaogeW fpNffzUR/ry7Z3DfwFkIM2tZNnhovHA3ZfXC1/ZvhU1low4eZTKseX/A8cOf VVhsVIt5vcNQNi7eUnxv3QiWhHnHAFp/gf1br9J5t2kk7+cDkj9hI+lzvkz6 vSsJr/T9HnhE9nxZS/t7JBt1X6ThJcx1yzGyenFFaIzOb7B8XCXM94gqq7Hs zyYpzvGTnScwg03d+pztspAdf3hliufXlSzv7vAixec27DLmMli3xv6/OD/y PMk7607yr8STvnebSH/yJ8IjHX+xI8j/9sVkX4YTnZ+jv6L3mTk/BB17fatZ 73XYF42Oi50jFrO0t8cDmqe4M98eOW31Lu9mJz2Pn6roEMjW5E3Vsp4YzAIw D8f6HezPxPmHkHdGj+SHe5C+Hbmkv5sl4ZHOj979V/6LlzfGdB/bLpK9zXYk L6zHtscLdFaxJ7pJLc/ivNmJbnHtn3c9ynr7a/ctCD3FZmitmzrzYzg7blza YnQ6nFliXriP1rOwvxznwyFvCPBWw796k0j/aVfKB+n8/VmK/Eik+Jmwme5n P+xvO4rkx3w/tPFyUQjzju7VqDwnnN14/NTTzTCA9V1gp6kWtlfseWtdo1bt MfFDzKdivQ/25+P8H+B9Bvl7EA8rk0l/zUvCI80vxs6Uj/sR70cRT0m4rzj4 49E50ndz4DCnu11Xi4d6mt1YEHlZPMveqyj23jVxz6mC/GWWLG6LuQHWK4bS /gHAGw95uZDvCX1noL/IifBI85+iHfFHMvLXCPF/FPH1Gvc3Bv6Rg37FbWlq 1meviWf1iJMbXx4hHtLXrMvJqzvFxph3wPprD9r/AecVES8XIJ/rmwV+WGVD eKT5udNO4rsw8Ml55Ksf8sEG8Sa7iO7zFvw1GXiqtq+MuPcull1wFys9ib3G ojGvwHqrHe1Xt6Dz/SEvHPL3QJ/6OdIfBT6Wrh+fwc8y4L+n4Bdb5O8p5Me2 2xR/uVPofmt6kP/SgG/pueAzsk9TWSLmH3rS+hHEQ3+cT4M8R8hPg7710H9o I+GRrm8LUD/s4U8H2LcZ9nrD/kj44y78qQ1/9dxB/isHvh/w52JlWjfl8Yv7 YJB3EPJ3QN9H6DfbIelPfv+JqG8LEB+dES8HET8vEZ+pjyi+ajZTvN3yoviL AJ53yuS/DsCfhHUez+aITyXE5xHIHwF9o6G/h1R88nz64Ej5lYt8c0D+PUM+ piM/VyFfvUdQ/kYA7zb4axnudy7m4Vi/3J/2y+I854/DkO8FfaUfSX+xi2S+ c37KBl+pgL9mg88eg9+qwHePwX/toO/EE/KPPu5T9g7F3yjw5wL47wr2++K8 HPj4GOT/BF9fSiD9dyol+fO/elRI/cvJ6VQPFFEfXFAvjqB+1AHvVfijH+6P 159Q5Ec05gWIF34fIpyPh7xK1LsH0PfYhPQP85WsR7x+Wk2kerrxCdXXr65U b+ejvncH3ljYH4/7Oo/4Oop82I38vYj5KaznY38Azl+BvCzU956epK/7LdKf aCtZ33k/8vwn9Sfbd1K/8jKG+pd5G+l8Pux9i3hYjXiSRfyHIl9fgl+eYa6K 9f7Yn4jztyBPFf1OagLpu2pP+mWKJfsl3t/deEX93t8r1P/VedB+t6dk3yr0 nzvRPy5FvtkhP3+BT3TBf/cxX4T1Jux3vkbnb00meXmvSP7lbaRPPpb0r82W 7D95v3y9gfrn/Fxat/tB9rybQv6X96J4sX5H8R2E+pu3ivhDCXzXx4P4+SDm h8F3AWtpv98bOl88juR9H0ny/b+TvqWNpP/ST8l+/v/K99GwXyon3h0YnzIx Xtk+YccgwRgj//2504fceWkaoo41oSUbZ+mIAu7oCpOebEuNXpj8+IJDP8Fk 1PrMt8lPjCtKbucdNwm5Pim3YEE/TXNhbIhXhMMfC+G8pd77neMC0qrdh221 3Osi6nh/Td6irfaisDKPr5YFS9LfTZeze297SDhg4fSlSmaGkDGknUFRYJsM 3XZ6n5qVrgq9q96e0ex2QohQvas0oatfxqe9P3t6iu4JzTu2X9L8kijYzLPT OVFYnnGjMtJCKbBYMJ46OOm4Q5ZgdypptqOGZmbfuHaVq4w+Cd4d77Q3jc0R FIIiOyudnZm54zL9XoX9/PfwbySnzTaSz+U83Ud6bSoID9fbR4Zwyv4g/Bzn mFlkl+xjspfb1dmT/FAWRv7hfjC8RX7L1l/3z5/cb97Tyc9rqsj/3M8JjnQv fXBf/F46S90fH/l6j+8k5ynuVX9A309ZTkMFa1Uau7qJe7udnyNUTAywXdU0 T1j3rOuR4GBX0aqel7tMjHASDVe4u8esPkoYWTo3OrL5mFA6eU+XisK7Qolt 6vykFyLBf3/G5rFKtcLoky27tqi8FSxazBTXrujKXFTvfB1T90N4esNZpV32 ACY20Lmb3LEtOxjN1BWK1dgEg8PLvr1pzyowX431o9hv2pfOW/4leZshXxxA +mJWkv5JkwjP+DLCt0WJ8O5TJfyJRWTPgslk3+5tZK9VD7J/FcY78O/qKsm4 5/43qad7Ul9G99ONkby57pD37aBHr1mOIrUvNBbK1G1IEqKFVeav9jYqRAnd lPdFHhhSKHhrv746d+Bj4XKxwVtLGXl24762ulHUXyE5Py6o5Zwey9s9sWDB +EFsvpauS+DLGcx6Peti2seAfVt98vSZwGXMb4Y48MBAM9Z9unXL7Ier2dLM vLFKp6ewv9NofhTrtdhvhvM7Ie885O+Evqn5pL8FeHpoET4l4G1ZQPiFtmTP jVqyrxrjavjzPfwbhvjNrl8rwRM8voOPUR6sBW+4KtM95RfSPU2Ev1zgv7dy kypLw14IAzAOf6aSVjKhN8sPmNcr1kKZvTK49yK591TW/8pB0/nGAuu2fa+L brw9a3tnVPBDW0uWf+73oKddt7ENrqvqPBKdWLh7//jGcfuYU7n6iCvzPZn8 7Y8jcoKD2OMco5EDv3kxFczdsR6C/QE4nwJ5SpCvD30N8aT/IfBUA99l4K1u T/jVMPrAn90Xkb0vEKcBA8gfHuCHn6ckeZXzR+cs4plaV+KX9W8p/s8gX0/q 0j1+wT3uBp7xwNO0erV6O/+Z7DVG1X3W/g6RbkxmytYLg+c5syHlexIcZwew h4kLDPWO72FfB+m2FFaGMvHixs4X5h9hPq53jTVPhrMl1fs6+1eFspK/ZWG3 GsOZTszeD89STrC7mK/Auif238B52cEk7w7kc30TuX7geQB87W1oDAb+GNjj pUT2iZBXbZXJ/sUfyB/vtpJ/Ht6VrEOcn7dPd/7H46OnEn+3WBGvHJxCvFKD /OiP/MjFPZfjnk2BtxvwLnNKXDH4cBDzxrhjWJz6DOfTrPSzQuDDjqdYXfui O5FWYUx5qu6rRw9Os4u+J9qtbZnGnvodSjRaf4zdCe2rqpl9ROxs0Vi/zSeY pWN+C+tr/Gj/rSl0/jbkvYT8fdC3SQrHMODTAN5K4O+OvImAfesfkL27wPPp NuQPNoP803xAsm7z+jephuokr4+TTxBf54Ovn4B3XME7MsgfDeTPE8SBAuJA BHtOwp7iXym3rm05xuR/03jZNeeGplO4ePv9wy1n1I+I5e0/DV/U46q4TXGK 6ZgJseKk9Z/Hh1kli9NDSmUeRieIb2B+5w2ta2G/F857QF4h9PSGHm/ovwc8 I4DvJfBqAr8s7LkM+7i93WH/S/jDry35x6Nass/h/UXALupDeqD/mIE62oI6 6Ag+9wSfe4KX7oKXriO/qpGv+YiTCsRJJuwNhL1bzE0b3j+9Jh6D0X1I70km 3+LF86YXa7SdflWsteZ507GaQPHOvlf9PGLjxVMwX4D1IOw3w/mpGOsgv/oe 6ZsnR/pzgecv8F0D3k/AvxX2bIV902HvGvQV7dEXdPMj/4Rsl+wLef/WOo36 vEHoE2egv+iVRf1FEOrke9RJF/D9WfD9GvDWSvBWAfIvxIvyrwBxpIM4Wgd/ yMMf/b81NNn1PcSeVtKoPrc+tc72KrsVevy72v6LbCDmsth3DPteDqbzDpBn CPk/oW/gHtIfBTzWwLcWeM8BvyfsUbCBfbD3OfqrGvhjQhX5Z6SZZB/N++P9 naiPHoK++vsY6tsS0LetRP/REf1IFupoT9TRqagHCagHcYuI18TgtWfIz7fI T1/E2UTEWd8w8tdI+Gu1UtuwjVNTmQNGJ4zcv+/h33Y47wh5tZAfCn33oV8E PFHANx14+wN/OuzpBfsY7L0A+2PQx8bCPy1ykt8dfBQjHpNj8X0C/xdDzknc zxf0cWtxf9rAsQX3ewA4T+D+98GOVsTHJ9g5BvHTCj94Ic604Sd9KX9qYq6L 0RL779vT+WWQ9x7yZcCzMmGkvwl4LgGfM/D25vhhTxf40Qf2ZsD+BPijDt9p RlMkv9P+y2svyvduiNup4ANdxPU48MUH5PV+8MkR5EUm+MYFefMNfDRqM+VV FvhxPvJuDvjsKPK6PUZd+Gc1/NMWcWrkQPNHWLfF/niMbSFPGfKnQN/XbaQ/ E3gWAl8e8EbyvIY9dbBvIezNgf3d4I9yfNd+k/qu5TzJv7PPgEd74vuqD3g2 GfVrLXhYQaqfvov6x+vMG9THfNSZD6iji1AHdmDk9UEV9vsjrnh+6iBfKzGf iHV97J+O8/KQN8GNRhXU6xrovw88MugzeR8rAv7W22QPt0/Wl+wtR52NCyN/ 7IV/bBsk3wF43V57kPqh7qjrOeiXBqPuz0Q/dQl9gRL6LT30DQPRj01AX+GJ fm0X+o5lGIfCvgLYF4W4MUU9eo78zwYfZIDnmjCvxnoU6scknM+EvI+4ryPQ F4nRFng6AN8S4B0P/N7ohw1hn/FDslcrkOw/bUn+MPg76p9/5NOcJd5N/uvD C6g/r5pJfWYJvue34vv+7Ujq79PRpz5C/1+CPvYFvhOGo8/ti3EH8A8G/krE RTvERR3y7TDy7SV47DB47AHqw1XMeR++EfsbcF4J8nifaAh9vP+WAR55jP3x PdMC/Cdhjwj2jdQhezPQh2e/J3/4og8/f0vynYl/1wh4ZyrxoO8eld70PSmH d5FF+J53xnehJ76rl+G7agrGevizGPi0+HcZ7r0A+VSAfEoETx0FT7mC/weA /61QV4divgHrEdgvwvlrkJcE+cOgbzT0pwLPfeALAl5bjHL4vt6A78JnC8ne zbC/3yDyR5YX+afplOS7HP/OlhlK7xfXb9N3eNh0et+ofkXf6afr6f3DBt/x cRhfQH8t9J/DvW7Fvb5FvnghX/6Ah5aBh3aB37uib9uEutkZdfO2VD/ihvV2 2L8P5w9BXj/wtjf0VUD/FeARAV8y4iES8WDVhuz5g7EI71vPXpD9b03JHyPx TmFyWPIdk7/7HKmk97R8M3oX6qhI722rd9C7kRnGCLwn5eEdJBZx+luR7u0X vu8PIB9647t8AXj2DepVA/h7DOqiDeriJvQb39Fv2KCP+4R5MNbLsX82zq+C vEjInwF9ReD1BcAjB3y9gXc73rHu8vfHOrIv1Yvszd5K42f4I20S+WffN8l3 X/4OaRlH77yrNtA75SCMCgp0vpnR+bypdC/HELdWeAcdgHfoQvDII7zD38U7 ajC+24/jO7U/6p4f+gn9auonstCnnUGf1gv977PLkn3tZvQfxjgf60/yzp0i +eXQF7+K9GeC187gnbl+I+Et6kH44xFnZrBPfgbZO12F7B+A99s38MvbOMl3 cun38X1S66WVkn43Ob1WIp7VT0jyxNfbUvzbIPl/gOZ3yX7hwFbJPmzxZMn+ 9lgnye+GKKn/NTK9JL9zD3+WfD8YliX5LqMl9b/L4eOS74jelyXfZ9dLvXtf i/t//68w4HL21Vl7do15p/dt7efAQoPDt7cMubJOdlzTOusXziVdxpvNDP9t Gvtt/BeH7ytN51ycMHd/0ktTH2aYc3LDs/2RVw3XqHkm6+rLGukPvja5W9EY I7muh9fkykz5b87X+X5+nsvj8rk+rp/jkca3tMtB5YOnnhmXXhitklhdnnXs kH6Zz4ueQpL8xtCbTzoK7YdutDA7Yydsb62Wuz4nTLAenXRsu0+W0K/B9Ozp 1kKhw8SVE3eLyoRpxhuMf+/+KjQZ0dyhntYH6tP+SzifMZjkbY1z/ye/fh/p swwn/XGyhEfaf/4Xaf3p6uZ9T891F0w6RE4bcKuP6LCfmnvqrI3Ccb1l3id0 4gRbOz0rrxXFgtXuwY5ZxTLMdl/t0GUdezPv6881xzWrsbKXLZ9+PdBkGzEP xvoh7HfB+V+QtyaA5KdVRfzTZ2RF+ueHEh7p++0I/y2TIXw3Foa5Pi73Epb0 C/N+MO6a4BLz7UGdV7Uw923M9ajC/izK5WiE7mIT5mISFD5VcTHL2Nvji+Ux W3bLNzU0O9yBJWPugPVT2O+P8yaQt7ovyQ9ZQPq0/hBeXz/CIx1/v0Xk/+v+ ZN8TnB/RwXi/4PlDWGzVsW/aQm22Onmh76nfS1j9rgkblSs3szc172wmNQSy 0SMDNm4eF8rScw1yhlidYuMwr8J6M/a747wr5M2D/E/Q57mf9Pf+THik82Pn IIqXVH26j/Gw1xPyXrRL2FYzYzWr7uT9+emAfaz75T0l4jtRbNlEl8lPBiQz mRCF/lPOitgDy5I7/XbksDaYL8d6N+xv35nOv4E8S8gfB305iIcJiF/p/A1H fDPEjwPuxx72/wI+OcNvai6JMcz4d32588EcNiuw+yC5wU+Y5o/7b89WFbL6 To5XprUtYiMxn431ydjfCedbIc8F8t2gLxP6+wGPNL8M1KN8jEG8H0A8/cV9 cf8J0Pe7/o3pldpnzPvoqM2zFr1joqyZcdMiPjCNBp91paqlTIy5H9ZbsX8K zitAXltvkh8CfVz/GOCR5r+aH8QfGcjPhYj/WsTXUtwf99926B+japGSbFXK ovbO/Xq55j0bz4YXjNQoYRf4HOs+2D8T57m8Gsi3hL5C6P8FPNL8HAS+CwWf XEK+TkQ+/D5O8TYc93kD/ooEnvvR6srtE18wt/YDrOf8eMIeYh6N9Szs5/HR FvFrCPkXoS8B+l2AR7p+lE0kfv4B/ksDv4iRv0+QH98Rf+q4Xx34zxX45par eY66cZNtwnwc1rWx/wfO83xLhXyuT7WI9McAj3R9SwJ+H9gTB/tMYW8n2K8G f6TBP/y+70j5Mx9z7u8c7Of51YT7Gf2/+HODlD/5/a9HfYtAfNgjXhoQP6sQ TzOk4lMH8XcGeHThP45/LNZ9peKT89lnyF8JfXnQ/1sqPnk+RSO/kpBvR5F/ XZGP8shPhnxtQP5yvOnw1wjcL5/vwnoz9pvhPJcnA/lc3yXod5XKd85Pcn+J r4bZE3+NBp9tleJPWfAfx8v9Owz3yeN3hBR/cr5VwHkuzwHyTaCvGPyp3yLJ n5zvhw4k/g9HPVqI+rAN9eIj6kc95HeGP1bg/nj+3kd+NCP+FmOd82UzzhdC ng/kG0FfM/Rf6C9Zj3j9vKZL/Zv/Xqqvk9B/1MpR/V0Oedawn99XMeJLB/lw Dfmrh/knrPP9/PxayFNGfd+A+l68j/SP/iRZ33k/4ryf+hPNr9SvVKJfeg68 RbCX19OziCc3qX7pCfglD3NXrEdj/w6cd4e8jpC/zYL0mVeSfv39kv0S7+9q gqjf+zCN+r9T2H/Il+zrhP5gIuLHBfE+F/lpAT65C/51xHwl1n2w3xLnubxr 8N8vReonN80j/W2OS/afvF9+KEP989tDtB4YSPZoraV4WDOc4qWzTM2/+B6E fn4s+nl39PNJ6OetMO+A9TL08wXoL/KHkbyZf+h+7x4kfamHSf+jdpL9/P+V 76M5ui9WjzMbZXCv7oT/8I1Nxgcx8t9vDbmxsfbU96z1DdktmxN+ZjU/LkjY vMF9rKzT8vuaNxVEc9VtIqoGKIqWd9nWznhr0Li3I3YstO9mJHxxr1B6nT1O iJSfWp1t5TN+XkLm1177jYRpWtZtBuuYCKZuSu3tguZNKBiz+8P6k3uFpY5f ulj3dxPsf4aO32/cOKHkQLFNL+0kIfpm5jNDx1DBT9ZvvoHBDsMZOrodtery hX1dZ214ZpokrHc6kbba/b1hnvzQeM3rJUJ1zZyq9C9iodD7U0+XhYONbq98 3Cnc6YswctXbC+O25AnVGYVvlkaaGp3A7zHYz39X6kpy5siTfC6ngy7pLc8h PFzvbeBs2ED4Oc5OBmTXLQ2yl9v1Io38MNaJ/MP94KRJflugQ/7kfjN3IT+r 1JP/uZ8/DqR7Ucd98XvZJHV/fOTrlo0kZz/utWO9bddPbeRFfX7SOLyfclbz MiNBJqYw+5HjOCGl9OfI2l5mQrvvS4/8LhgvvNHeo7drZ6hQpv3l7tnPgYLJ /eV9DTweCGXDAxcPyc8Unm3KfqESWCd4HlymMLvwnbA/eoxvs0V3ljRy3MSi 3Q3CvqJxab7Kg9m2p6v1T4S2Y2qhn0edrlBno5onOEQWd2BamHtg3QX7G3B+ JuR1P0Tyv0HfV+hfAjyndQifAvBOl1v2D39mCdlzOJ7sWzGA7J38m+w/30Tj Rvj32w/JuOf+10Lc+znS/TjCXzHwX+mDNo/tO88Qwh7S6GeTazXN9rSwolvc vZVjTggHTX+U5boXCdGmgpzg9FToajlbNqK2C1sTfenS8NmtQppSW52qhfrM sbPMkE0/B7GDmd88fcznMMet+QMCZcaxM64x0UK2NbN92i6tg+9kVlr65c8U lTVMLsxax+3BdPYGc75+HvuX43wM5NlDfjr0XYB+PeDh+NKB94084c+APbdu k33Nd2hsA39qw7+TXMk/LdqSPMHjew7yYC94Y68M3ZMj4s6vK+lzhr5D9SFV okGvhaUYHf2nunp86ckuH43/1npIiY0YOC1uxe2pTNsyW9DaI7DbH1YVioet ZzL3uvhPKlzBdg/TrKpo58v+9Jz3qy7TnV08M6Xr/RtH2OkpXnYvPu5iN0ZU LdPreJIp1X9u6ft7N8vGPBzr8djfgvN7IK8n5D+EPh3oNwGeJOBbD7wxwL8X 4yfYtx323nlP9hf9prx7Dn4Y5SbJq5w/kocRz1SnEL/81KX4j0X8r8U9ZuIe s4HHDXjMr19oNdSexeZijKuN76jqvpltKq53nZnszhx3Xjm2dmoI+5ywOfHZ l4Ns7Z2f3aoy49gP/dEeb7pHscffanIb09NZroxiy5jrcez1RzmVbeXZbELj wVHZcYn/zfOw/hT7f+K8M+RVQb4b9PlAfxbw2AHfKowbgD8e9pyHfWdh7ybY /wV8kH+F/GOkLlmHOD8fB483gr8fglca7xGvOCM/jJAf/J51cM/cX6nA+zf5 itbmGSeZXAqN9zz+dr5klcruePWfvHPVNWY3ybTt97y77Fy65aeY6XlM9Koi 4ZTDM9brs/shq28P2M/dlRU6/i+Zf/JF/9wFj1kD5nw9C/vP47w95OVD/kPo 6wT98hhTgG8n8BoD/1jYow77nGCvPXjVYQT5Yz78U7BOsm7z+pckpjoZg/po L8XXU8A718A7fZA/D5A/ZYgDJ8QB91c+7BnppppQ/fEB08bYYY/CTdfIV+xw o1q6jfdLtn7f44Mjbr5naW9SqxsK37LNASMPXO5UyqY0jhh99F4J88Q8HeuO 2H8c5+UhbzTkj8H4BPq5f12BrwZ4C4G/H+zJg31LYO8b2B8If9TBPz2yJfsc 3l+YdqE+JBT9h44W1UF11MEJ4PMr4HPZXsRLPuClGuSXE/IrCnHC4477Sw72 uiuuqXb1+fDf+G1x/+Xxfz+wB2WyoxqXlLIOTWNDUipLmOxW6+TKXx9YV8wf Y70K+zfivAdG7s8j0LcG+nncrgO+euANBH4Z2JMI+2bAXt4HzIE/nOGfSV0k +0Levz2uoj5vOfq7i+gv1qG/mIQ6GYc6GQe+Pw++zwJvFYC3lJF/Gci/RMSR A+IoH/6ohD/+RCpEHHYrZk0YY77Eng12KmBdhvec6lL+8r+5TBStt2If9yeX txbyr0OfGPp7Aw/n4VvAewX4L8Aebp8F7HWG/ffhj3D4x7NKso/m/fGyldRH f0f/bI6+rTv6to+h1H+Uof/ogToqRh01Qj14hXqwD7xWD16biPzciPxsgzjr hDjrAH+dh796u807f0z1LuuFkc8vYV0e++Vxvj3kbYH8ydDHeZXjka5fOcCv Ans+w77vsFcV9gfAH21WkX8qrSW/O/iYUE3+zYUfj8D/PSBnplRfdwn3lwcc /H7fAqcq7v8H7EhCfHA/3kX8tIcfeDxyP/Kxj5T/YjG2YH9nnH8EeV5SPFov VZ+KgC8HeHl/xeOxAvYthL0KsD8f/lCBH+2rJL/TeFx2xneaJuK2C/jAFXE9 k/e7iPsO4JME5AXvP3he8zqcibw6yPkKeecGPitHXn7B2AD/yEnFKff3X6l8 5rzA+XED5B+DvhvQHw08+cBXB7wxwN8O9vC8ng97+XfTRPhjH/yzsIvkdy3n yd+oP/Lg0dWoT6vBszNRv5LBw2qob/vA059Q/1zA43dRHznPa6F+8jrTFqML 7Of+vYe4ckdcySBfN2F+T4oH+X10grzOGHm9tpPqh9YD3xfg3Qv8qrAnHvbx em0O+zfBH2Phn2fZku8AvG4br6F+yCeI6voCdeqX0lH3VdBPPUZfMA/91iP0 DZ7ox9zRV7RHv8b7ON4/6sK+lbDvEOKG94M8/+uQjybgOT6/inUeZ8E4z/2l B/mPoO8Bxu7Aw/FtBV6OfwLsyYZ9U2DvU9ifjv6xE/zjt1by3YT3kU0DqT9v M5b6zEp8z4xEH+qC/l4XfSrv/w3Rx1rh+yAdfS7vdzsC/3rgvycVFxeQbw+R b32keGyvVH3g64+k+IP3M/chn3/P8O+ADODJxLgIeMcAfzLsGQT7VsLezrA/ dxT5wx7+qe8v+c7Ev2vOetD3ouVF+u75WEHfkwt16LvoNN4jTuK7yR7fo0H4 rtqD0Rr4RgOfF+79Me79I/KJf183gKcug6f4d18m+J/XVV4PxFiPxX7eB3J5 /LuTf19z/fy7ayHwbQNeb4z8veAm7HuE7+tX+C7c0kD+WBZH/ungJvkux7+z 3fF+8QPf4YZx9L4R9Za+0/Pv0vuHD77jj2HUgf4D0B+Ge+2Cex2JfLmOfFEE D50GD9XjnSEI/H4cdbMEdVMB/Qjvt/g7RhT2//fOAXk9IF8EffydpD/wRABf HPCuB/4OsCd9NY2PYO8N2F8Cf8TCPw1aku+Y/N1n7Td6T9vtTu9C29va/Xtv WzmY3o3eYVS8T/I/FJP8zO50b5106d5KkQ/uyIfj4Jkv4Bkn8Lcj+Hs96uIB 1EUH9Bvj0W/I491sAubOWA/Efv7utgHynCG/HvpOQL8P8GQC3wHEmTLy7MNH sqfXE7Jv20Cy9/AgGtc20/tjMN7NLOsk3335O2TAd3rnTehH75SbMQ6SIX9W uNH5eZfpXjJwL+wNxXtyBMV7uhbxyBG8w2fgveMGvksj8I7rh3f3CLzDeuG9 fSb6NDf0sd3Q/wZhvhrrsdifhvORkJcH+cXQlwv9/sCzCO/MU/H/wec6wh+q TvY0XyL7ZGBvcwv5L3MA+SMHY1mt5Du59Pt41XfJ9VM1kn5/pSkZz528JHmi XE+Sf+c4SdY115uS/cKHrpJ92K5ayf62/WrJ74ba75LfY0ek/v84nyf5fiBI /Z9Sqyv53vVa6v8ZFw3J99myGsl377u1/+//FfA/UjL+V0rB/0zX8b9TGv6H SsP/Uun4nyoD/1tl4H+sTPyvlYn/uf6b83W+n5/n8rh8ro/r53ik8T1dtyni 6oGqrL+59QPjjWWFvdHVJ5oUv2TJvun/MbtcXxggV+O7W2O3sDZgwe2v/eKF bYFHGxO1nggG33+fclr7SfCO0lB1sa4Txrq2vs1/1yCoR9LcpYbWTQ7Q/hPe dD6jufqfPCGX5J98+O2fvjNXSP/QBYRH2n9yybRedndHjPuXfqIZ4wOerh9q IRzyGzRygsthwWpvwXnD6DxhVO6V005HvgtNSj7DflZ1Z/NWd+r1NmYo8zrw 1bBg/yg2PsD6lfmJ0WxgEM1/r6J1X2XaPzuPzh/0J3m1e0m+MIb0RT0l/SOB R/p+CxvIf5VmtD9TP1Fv69cjwm73w48V/z4QjkU2jHg6XpbpOu/f/3SmNks/ 9uxv/84zWHWSXZvcz8vZPeVildYCeybyyje6qbuOncL8INbljtP+cCc6PxDy tF1JftV40hemQ/rtLci/0vF3ez/uN4DsW+NC5yd5zeu4pq88Y+7G7Q11jdl7 7WRXM+dV7IewQ0feYTMbpz7YN+vwHra5rJPOgp4HmOWq0oFdXgazI5gbYr0v o/0fcV5rI8nT20ryF28kfYN8SL+xwoB/eKTzY1krxcujfXQf3N5nwHe5c96J 68vXsGmdn1ZcurSbtX3VR9Q98H++YwuGXNB3CWMfVoXEit6EMb+gNluHdwhj kZiHYX0U9k/G+bOQFwj5/tD3wo/0321H+SCdv3s3U3yfvUnx89eR7kdeh+zv DvlPLwWUxFofZwsWPXUsEYeyKplpPTYu28nGhth/mnhhv3hvivrYL2rHxdFH aK7cOvXf+kzsl4+h866Q9xr+VUc8TUf8f/EnPNL8ohtA+bi8B8X7BcRfV9xX SxH5Ywj0hd4zzOyuvlncP2S9oqzWJfEbq1OdL2Qnis3L7x0aMzBJfBTz3qG0 nnaX9uvifA/4tz3kd0D8KiDfPMEP0vyXBn65g/zMQPwPQXx9xP3pwj9OwBd6 bUdN69VE8aoP11esVo8QP9SoXvdU2U885z3NuyTT+p3jtF9Xlvw/4hnkQb4/ 9A0CfxytJjzS/BwG/pMFn3xFvl5DPuQh3r4ep/vUXUH+qishPBrWX1tejjzP dhz45h/fL4nZYb4Q+LXg3744HwV5npB/F/pUoL8F/CtdP4a5ED/bgf98wC+b kb+bkB+bUyn+fuF+xw4j/3kA37PZw36cUUplPpj3hn81sb8G8fsH8iwg/z30 dYb+P6gX0vXtdQThLwNfb4Z9+2BvAOyfeYz80QH+XAR/3YH//IEvfiXNT+P+ 03n8htH5U5DnDPkPoU8O/lwSJelPfv+5qG89EB8xPF4QP4mIz8fI71+It2DE 52zgadAk/7ljfgLrrdiv2p7OX4U8dci3hz5P6J9ZJRmfPJ+WBlF+ZaAe9kH+ tYDPJyE/FyNfbW9T/i5GPkXCX59xvw8wP471vDu0fx3OK0LeN8jPAL808nwP kMx3zk9P0F/MBn8Zgs8eg99mSvHnV+hLa0v+iTxM97kT8TsX8WHShta7WND+ jzi/CvJ4feoBfR7QX+wnyZ+c78+3Jf5vQj1wRH34gnpRg/qhB/kD4Y9Q3F81 4u0o8qMRc1usl4F/u+B8HuRdhXwD6HuFengC9VG6/9MuoPreDf3LRDeqt0ao v5cgrxT2y4GfZyK+HiEfvJG/MZhPxro853PUt+OQdxXyNaHPBvr7Pu0vUd95 P5KZWPmvP1mjTf3K6wnUv9zF+V5RZG8J+p3LiKdZiP905Gs++OUJ5uuxvh37 fXG+F/zXC/3YotGkb9xk0n9OpkaiX+L9nfYl6vdOof/rp0/7r+8m+2QRDzWI n2zEewDyczT4ZAT4rwn8Zot1e9TjlegfLCHvPvrbUYakb99n0t8+S7L/5P1y 62jqn3XO0PquneTfmGfkf43OFL8Feyi+/yAfZ4E/eqB+7AA/Z2I+EvXPYT/t H7OdzndqQ/JCIP9aHPW/X/NJ/zonyX7+/8r3Eb7nUgrWhL0uzP5ofMmBRv77 20SjVcfaDRR9Gxm/tXPYYBG+C1PbL3a0+jTLWPiuulM9+ISxgO/H6zsu2DRc MZ4qeh2d0/dTqzH/bk47qNBha281VyEo6vq39q7z+fdoentfmertcRHCr5Za nfd+B/h3a3qQx4rol765Qn5WtNLP53H8+zZD6Ha99x25YsEu+J5/1L0c/h2c sT0qvG913yrh4pyjwRuNH/Hv5cyAvwa2ay7WCyEWthseDirg39WZy1vpd8cp tJ//bnGO5IRDPpfzUZ70XgQerrfJk3A6VhB+jvPMXrJLwYvs5Xa1VSY/TLpM /uF+mJFAfus9iPzJ/Ra8jPz8UJv8z/18PIXuxc6d7ovfi62H5P3xka9fh5xf uNeSbytrDWWNhSdfacwc8D5iyq9pIrnHLlGz8qaI7C1jDq412Cksn38pf1SM h6Cr+yQrqWeScLX+t1zn2IvCnuj9Zx6LS4Qai8oy3bInQjtZq7TJYW3Z1cs/ tsbW1QgdFl4qeqjblxl9eru1tqwdM2LNwZOOaDKrRUGnCr4osNpQeZMpdvqs h9Gu4Ln9erDLmH/Fuhz2r8D57pBnAPk/2pG+e0tIv845wrP3F+Gr0yG8VQsI /9DlZM+4IrKvc3+yt1MV2R8Mf9jDv3naknHP/d/Sh+5p1VK6ny0PSd40yKu7 pTcm7vlOwfYejbtaVI++/J4sbJSrzI5YeFWo+JBTln7ru3Bzg43xxA+fhXVv 7J91j+rPDMp2etrKKrKFmuuM18sLrMi9bTezsTrMWJi3LCR2Idv18fPhXsdN meGw6v6j2tsw73EnfHb5zWYKzoE/dwxaywYUu2xqTprPjDFvHUvrE7D/BM6r QN5DyI+HvuqPpF8MPCnrCZ92KeHVAP5rzWRP7n2yLzmfxouw/8cb8kc9/DNy qCRP8PiuKqA8yL5I8R+8jO6p41K6p2hZ0mcB/62Y1FRyUeOH8NqMRrvFw/dM L1JnyTvTHsZGDGMX1UftsdAwZ9EW74tL0qczjYTNiVUbHdmEQs+fG1xtWOvb E20mL93FFrU+sJly1Z0Vn7FMnXTLn/1W16zsdnYbC1rfmNd+RjAbsFRx/GXT XWwV5joatH4J+7fhvMw7kqcJ+YbQ9wX6fYCnHvhygVcFdoTDjnr4U68j2atl RfaPnUX+mJUIXvWT5FXOH1sDiGce9iR+Wd9I8d8T8f8G9zgf91gNPNuAR2b2 +qsP9BexvhhPb77a5lOYB4s3d6yYVu3Omv0OvG1cH8gGOm5ZXzfTjxmd1D0c ohPClG3dauvaHGF/1C56e8w5wT4XZllFjglhQ/zOWZ5zC2O/Tmm7r7ALZfaY 38S6xnDa3w3nJ0KeKuQP2Uf6UqH/PvA0ziJ8KsCZAPxi2PMKeWWGvLIYRfbL /SR/7OxG/unx/1Fn1l9ZNl3ft1EsbGwMFLAbiWNM7KZs7A5MTDBQQVRSUVFR UQFBEUURAywsLMpCRcW47O547/XMZ661zuO9nz/g+WnWnDPHrtn7u78zZ5Bh H1L43CFL4vim5RK/gwdKXIkAV9yoj8PURz5nec4rOOed2LsRe597mrhbN10r 9jHajr19zTInVOxa3D9gXb1QUerg01vPvwQII+umTqterxfDlp1z73NjQnLb skll+9n5iZ+JY3pvdQxK7vesz6dn0UvFQOaLysj1Yp5y/5M28vt2yJuGfHf0 ZaA/mVHFMxF7I7B/L3kbi3+dwaME/G/nLOMRT3yO/zTs26r/DT4s++S8+bI/ no6ReN0BvB4K7twBdzpQP9/2yfqpTR4UJA888acq/vS0sdkW6eYnhjP+fZ6y ZMjPzcnvtb8NT34PTG7pW/Vs7pV9ySKq3a5CFfckz8xXYpLW+kDyzXB3a+du e5O7M1/Memn2X+F793+kvGttpfxO6HFC/2bsKYp9lbF3OPVfH39m4t8n/O1N fyxG/8qE5zxONuQ5il+89Jc8ZGVJyT9u5Mk++LO/7IMKz+uA58PApU/gXD3q qzr19Yo8GU2eOAnp7yD8bTbm4vbsE3HJLow/K2edat83OnlXlbu1PF32J9sc 2pswdLR/srag6PkqptHJdsx/sZ7O/tp8P42xI/LDie809Gdhzyzs+ztS2lsC XPXAH1P824C/L/D/IrwgD36WucaQFyr+lthN8rw68EQ3+MUJ+IUpfbQ1fbIc eJ8L3r8Gt66Cc+2oT0G92pJH5cmjVcRjeBUZj7zs7SXjn3mJgplyLNPp2L3Q TvuF9nbf9lp/t4vBzLMz5Ppa9n0mni2R991Hyv8ZKfXN95L6D4MHDcDV39h7 AvuL408H/KuNv3Xw/wDx8Ib/LupqyKMVPx43QPLohvDnxfC2M/C2/PAPB/hH a/roXProffpBe/pBPXBt5VGJaynU52rqM2K+zLO/CTLPthKvMcTrVXhYvZm/ DonvjJW2y7Eu6+vZ/4c8HYy8eOSHoa8juPr5qbTnm7e0r3SYtDcM+5+7SH9s 8K8J/r7G/zwbGY8df2R8njgb3jvU+Jd7R37i+J34r0JORc6nOnoE5zdWxZHz HU4c/5jI8zcmjm7k40n8bEb+rCWOoeTXRJWHjL+JoyvzroyPyMvxxPEk8vYj 3wZ9a4ijF/n4nTi+wN6t2P8NvtUI/xrib6lQ6X8I8ahNHI93M7ynqbw8wz2t PHnbBzy4p8m8Vny5GXk/FTyJoi4+gTctqJsj4FHVRbKuVoOPqq7HgmcDqOto 6rNtlozPKeLjRN69PSjnZYh3BvtnM85D3jvquiH6SlPXJ7DHWNU19ir7Z+NP X/xzx9/C1LX2VMajRISMT7HVhvdahZNFzsj+EwyOdo6W/cmZ+1ahmbJ/VQGH q9PfyoHTVel/g8FxZ/pjODjfg/7Zhj6wmH7dAf/98N+9qsyrJuSVBX1mJfMi rLfiPIry/TjkFmCcj74Z6N+IPcOxrxr2XqNPWuNPS/xLpF970GfGwF/yeH8w OmL4DqD69pNfkg+VmiP7eg734pH0fSv41CJ4wVb41mB4w3n4WDF4xVH42lJ4 x1TGy/CSTfg3hLz5Ax9cQj0epR47b5c495e5BevX6F9L6Ms9kdeQ+LVD32rG rdjzmfvAVezthP0b8McR/9rgbzv894A/Nic+Y74ZvpsoHjnUX/LzoryjfIO/ /4SHloDfX4KnZsH/w+GxFbkf7IDnhjK+w/7SxHc6eeFMXryn3kZRb1PBsang 7BL6VQ3m21mvxf6G8PiOyPNBfk30FfWS+iOxJ5rRFHvV/fUx/tzEv9Pc38rg /zPudyuIz6zlhu9M6l7TYJe8L97m/S29j7xPruEd5wf3+fzcC29yH73BvSqb sS72RWLfQc7dnHM3o56eUk/fwCnFP9S9LxT8/woP2Mz8Lutn2f+C758jryTy 86NvPfq3YE9J7NuMvbsZH+LPV+6FIfh7Hf8d+8l4LCQ+taIN3+XUPdvBXL5f dOCd7gDvGxN5Tzp/Wb5/mPyW9/iX3OdT0F+C+G7jXH0510TqZQb10gUcqgYO LQffh4HvdeABtvTNmvCrVswrsd6D/Yo/myOvF/Ivou8O+tOwJxP7ThGvC9gf p95fGLeelf6edJL+17ws47EsQsYntrLhO6Z69+nZRL6ndeddsxPvbT5V5LtR aGU5ZvKu5D9Qyv9iJM/Njfv8Ser/De+P+cGZB9wv48Dv4+D3IPpiHLwgP3zj OXzLEh73gnl71j+yfzrf70PeDOQPR58P7wLDsWc49mXx/uJE3lXDH7ML0r9s U+lv/UpyXPBCxqMq7+tmundf9Q6Zf6V85813VL5TPmH0eyO/nzJYfr/qnjyX TfHyXP70lvmeWkbme8xHiSNNeYcvwjtqMO/a1eh7udw/beET9XZJPvEBnrYd nvYD/juK+TnWc+BnL+BnXeijzrFS/tx5Ul+Wq9S/kveFIHA/gvp0pV6tdkl/ 3vPuauoo/e33TPrfgvftToylJxq+k+vfxwctNVyPaGIY967mhvl8d4shTpyK MsTf/B8M+1qrJEO+kN/XkIdZ6f6HeK77vyJMdx+LXm14zz12yPD9YMEDw3eZ rADD966e0YbviJZVDd9n7XT/9wyZ9N//V1hWMauQU/qsloW0y0UaeaS1Kjtw sVnCtx+tC8/p8qboxALWx/72KVr03SPr+xnjK/xzcWtb663rzQZcb2lTqWfp Zfm3RtqEjfYzG7n/P1nTzrW4n28D26b3Apo7ptjaqrlaV/vV90qekq/0Kf3K Hr1954LnLN1y7qZ9+psPZ58cfX/i2D+Ze9Y/qKNN/5kz9/bt9tqjWfsaj2+x TOu2d9C+S/5xWr2BiQ969L6hHXK6022e/TNt34eSDZ/u/qT9XZHhW/LtNy2E +TrWTdjfh+9XI6/EWyn/fp7Ud/2Z1D9mnbRHH79f/8j1vk+3xQQH19JWhLzd 0dint7YnIGGQ+bsALfD9toXGBc5pAy+5vo1t9F47G+9n6jW2jHix9Hu7k771 RL/4RR5jNrUQPQ/ZLyq6rI3oz/wb65fYP5bvLyBvY5CU/2W91Pc0T+pv+ETa oz/fsi+kP0sD5f68rUPK+U4K0cYd/OoyZe01revcBfmbVC4kOoxes9chvbGw 2lHgZrGcnuJBt2ujx+wdIdxXPSw5ft8Usbh2alOj9e5iHPN7rDdk/1S+b4q8 BfFSfgT6HgdL/ROeSHv0+RfzTsa/H/7d4/vvIWN/n8hXXIhss/Ptv9qLvLEX njumjBLeU1vFjxrnJbqZL8zv3j9Q1EgPtBr2J0zUm+r6+nZ6+L/zAaz7sP8N 349CXvX1Un5h4lEW/cmfpD36+sgiX3ZwHlb4OxR5RRvZDVkYMUk42JVf0LP4 OmExeFlJy4W7RR2rnHmxsw+LNm0qVHw6N0U0a2ScOT709L9zc9Yt2e/G90WQ 1xP5DdF3G/1vZkp79PV7L1rmtwf505vz+Qf/+yA/3/2zM9o/ihVGfet57d1z WthOvFX5S+frYs2Ylhdurs8So/vWmXNx3k0RwNye9eLsL8L3w5H3Cvmu6FuC /krUmx5ftrjKenxCvpcmn3w5r/rEowj6jFsf/ZmZmiEKlCxq6mx1T5Se0n+I ZWausL5b5m2/7g//nRdh3YT9Jfi+IfLWIb82+p6h/xD2/H/4B34UWibr8yb5 70h+1eX87IhPPvSbtyxl+tv/ocgs08O3h0+umNCusOPsu/dFNvP6rCt71fdK Xn/kK3110N8Me/T4PBe8GwSeDKNe61IPLcg3H86zBPFKxx6HCZbPn+65KabO PD6mYnC66MFc2VuK/ev4XuWvku+KvgXod8Aeff/YDj4PBf9mgS9W1K819TGM /GvN+Y4ifsq+he1W++RUuyimMJ/Euh37Vf6qelP4MAd9U9Hvgz36/jYS+13x Zwj+NcZfG/xfRTyK6eLZkfhN+V/iacJ+VW/qfKoiX+mbg35HXTzV+S8gH4qR HwqfnckfC/KprS4/a5J/N7BnBPHL+F/yU+P7Wsjrhfxs9Jmiv4kuP1U9Jevq vTr1F6Srd4VHRtTv3xJSvzHxasX5qrnCg1LsV/hUD3kKT8qj7zP6A3T1rvBp L/i5FfxqDp69Bt8GgHe/70n8K6bDT1VfbuTfauZqvSj7i4GfLsh7gXwb9G1E //poQ/xUeF8M/P9DP2hMfxhLv6ik+gfy6+r6kTX51oT6aM28JuuqfznyfTHk jUZ+TfTV+SD1f59h2I9U/wz7LftpAPxoDP02j/7eFXn38F/16+7klyn1YE79 Vmbem/XV7H/M972QV5L+HgufKE5/N/pg2N8VH8l4KvlJh1DJV+7AX4Kwdzj+ OnI+FuRTLvk/iXpdAr7MYX6f9SbsH8n33ZGXgX19t0l9o+CTD54Z8iXF7zye Sr43/KHkf8bwwRDiO5B8cCR/TpHvt+CX7cGTjuBfX+bPWE9jv+IPtsgzIX53 4JMVHkv9/k8N+afiy1vg89dZ7wCfH0s+1Jwj82UG/KAP/Pw9+HEWvCuzUuKz ml9k3Yr99nx/eraUN+yzlP+Q81yaK/X/WmPI5/+v3I+WzOm1y2+Beas70dUn Xxjy0/4go/rdyPPlqLrrTE5223z0UYPV5U5Wubtw5Vrn8a3n1ijWYGnrutro qp/jl6bU0eyLLs6X6rGszcI6RwYevGOpxfws+WXMZ3PNx6nds3vv5li7py5M sekzTatQObKt8d0hWqD9OBuXW53artg++Mil1HCtuXPqoCKBazSjUh8/1Ul4 03Z0+ellvQqf1dKzG31btD9WC+5Xtkdmj5k2t6xaPcyp8EC77PzhkEu/M9qa nIunmx7LsplYqtOcnMbvtIJzKpyb+vm69qbnrQVr8iraXs7r5Xi39Vcts9Lf lcHjM7UpY4vnefZoY3uN38/MlvvV7/OQ44d8JecXeodhz796sdPbSdqv7PTH r/2VpL/Kr8sXZRxiHsv4qDiYWsi4ra0k46ni1rm6jPPTTTL+Ks77F8tz+cZ5 qXNZtdfw/NSo1r8i5zHf545veuHLZXNt0AQ55nj3PDVyjKWW6xsbHTa3nrZq k93CGxfnae3yWSyxz5mhHXYtNcPFIl7zXDGl8RD3PdoaL6+7q77navNTnU1v rbqhnbHM7h1lUki83vZkwnDL99rY5MgAs8k1xOIZsfMKFywi5m/tstnJuIko cOXynnIVyokX54+93PSnlWgQ0bnbP/crimfM1foE9i/n+yHI+4b8S+hbjf6t 2HMW+zpgb5OC0v6J+JMbLP3zWCX97U8cNMYVxKe9Lu9V/JPI+3rUwbdVUl7e cikv8pLXWNcuC7S+jKunzR3+YtsR7Zrv7cWJPoe05vmrXirw6p3m1Ndld/PY Z1q6yZK761fXEBYd21ZqFlVGhJdYUWNaVjth9KBerXMrmgrvNtY/7Jq6iuc1 Q4fdGNdJdG7Wa2tc+jixus6EKau79ROJZpPTEzZOF2Mzr+ZeXusoDjNfwboD +5/y/RrklUS+0qeh/yv29MW+PthbBPuVP8EXpX95jN9WSv+7Bsh4PKgm4zO2 siFOqPw+9EDWQaSZzH9TzslxszynSugLQl+t+m/XNf35QftbT45rfRc+/lvE UtgFnLG5dKiu2GZUpFblMwPEuNsJ+/uG9hCblnTKX9Z3pmjjZtR90spxYvC7 T2a/U32E47NZNjVNF4i5jy7kNcjbIBrvG/fg52dvEeW673K9av/hAckta65L 9BF7mTdhfR77B/L9SOQJ5G9F30T0R2NPN+wLxV4L/DBl3I9/I/F3J3lasICM x2TwYforQ1xV+DEOXK14SeLLQfJfI//tOcdunGNX7NmEPW02fy9xb7DLv2Pe zemZg357ip0DKl5oUneBuLDwZ3fPV5tFRqXUsNrhweLysUHaplVxIuv8gxUz Y3aJWq1OZbpWOy5S+2RUvLIiTmy9/3OXS7HTwmR3sxcr38X/Oz/Hem323+H7 K8i7hfyr6DuE/u/Y0xH7OjBuwH4H/OmCf9b4uwj/zVbKeNw/L+Pzp7xhH1L4 3G2AxHFP8Hs3uBIMrlTW1Yc65x2cczj2vsbefS6Ptvi0DRcHGRf9qTSxX1Ki MHezX6HFJ4jIojlPnq69KEr02VIkwfGs8B5nk72me4Yw71ChxbkVaeL31lJV FxvfFBWaDTFJOXBN/GFen/WV7Fff70WeJfKXoE/pT2B8h30qvipP3fHnE/41 wV9//D9OPO4Qn3yOhn1b9b/ATNknN9IfzcIlXh8Hr9/fN8SdztTPZupH5dl5 8qAu/njhT5qH7yNTzzRxlfFT87zAyu9uiTTjU9t3FropSu5cmW5cNFf8HO1q m5WYI14uq/SkivVDUf7g6bQH8+//O//Nemn2X+f7H8jLQH4643L0N8CeNOy7 g717sL8L/uzGvwLg7EX8b0A8VhCfD5mGPEfxi4HwENcGkn+spg92pQ+mg+fr wfMh4NIwcClDV1/G5EkMeaLi9RF/C8+1HLUxIVcUYhzr1Kf0xMEPRcUXoa3b hz4UIxo3Grd90QPxMqn2t5cuD8Vo5qasT2B/Eb5X41fkX0FfLPpLYc+/9Y+9 E7Ff+aP8u4u/jvh/nXh0Jz43nAx5oeJvXvC8SfC7UvALxUfm0Ce70CetwXsP 8P40uKVwrhb1t5z6+0weGZNHKl6jicc+q/Q9MaE5IpYx8GMfh+tPM8QN/xVm SxNvifXM41g/wDiO71V8iyP/F/pWoL8e9ij7zmPvYuxvjT998G8h/k7Cf0E8 dhEfs9mGPFrxYxN49B/4cxd4Wxa8rTv84zj8oyZ9NJo+WoZ+sIV+UA5c+wWu laQ+n1OfL8iz4eTZFeIVQLz+vLZfv9U6TfzVjUGsZ7B/DN+/Rp6q/4ro+6vD WWVfaeyNxf5q+HMC/5zx9z7+TyMeZZ7I+HyoaHjvUONA4vuFOFYg/pnImcH5 HEOPDecXgx2qz+7ATnX+P/FD5eMz/CxH/gwhDjHkl4rjOkYVP5WfwYz72a+v 99fI/4M+1a9U/wrDvrPYq/hVC/xJwT9P/L2J/9bEoxxxFLp7msrLFuDjEvJ2 C3gwnrzOAi96kfcjwRNP6kLhTV3qpjh4pOr6AnhVlLorAJ6NoC5HMu4mPsOI Txp5p/JW1f949o/V4WQpXf9Zoevr1bFP8a25Oh7aE//u4a87/p8lHiHEJ8PJ 8F6rcNI2S/YfK3C0Jv1phLpv0a9DweHu9Ldx4HQm/e8aOK769b99hv6p+sx7 xvz4r+Kr8lTV/zPqVeVxBR0OFtL1ly+6vh2Nfivs+Ze3Yq/qk4p/qD7zF3+7 47+9igfxccs0fAdQfTuov+RDx+nrj+FLh+j7JeBTsfACD/jWdnhDNHzsErwi Dr6meI8n4xX824V/l8ibZbp+9IN6LAXOqfkX1tX+i3yv4nUD+Yo/Kv2HsUfx 8/3YG479k/FnJ/5Vw98T+J9HPBKIz8r+hu8mikdOLS35uc0OyTPXwt/nw0NN 4fe/4Kl94P874bF23A8+wHNfMSoefAb76+nyoiT1VoN6U7iq7i9l6Q9qbsF6 Tfar75U8C+RfQ5/i32+x5zOjwN4o7Ff+fMC/0vjrgf+7iEd54nOgtOE7k7rX uP6W90Xjc/Le8+hv/f+5T+ZwL7rJfbMF96aC3EdjuVftYmyPfeHYp/J0G+ee Tj0Np56ywan54JS69ykeUIq+qvqB4ldqv+KtborHIn8L+vaifxf2qPip+/VO RvVe0Av/uuDvAvx35X49+IKMT9cnhu9y6p7tXEW+X6Q0kPdws0D5vhG3Ud7T p/L+kcI9/hzjb94p1HtPU841k3MdRb2EUS/qHWEVONQbfLcH3xvSN4/QNyvB R5KYN2Vd8Vj1zrEaee2Rvwd96p0kD3vaYF9P7DUjfnPwx42xBe9aU3mnCF8r 4zHZXMbneBXDd0z17nOK98dOvAv9Givf236tk+9GDf3lWAL5hZH/l3N7yrkt ph4iqIdW4EwaOFOK+9Zk8PsZfXEJfVG9i/0D3xgHj3vNfA3rS9n/D99PR14J 3X1O3ZNPYc907OuPvX2w35h3rfX4F+Er/Z28Ro6teX8syruvttnw3Ve9Q2bz zruHd8rjjEPGye/TiG+YnzyXuvXluZyj/tPBgwa8E7lwn18MPk8Dn3N5Z03m /XsUfMIZPvE5TfK0ZHisBfw3jXlheNx49s/m+6vI+4z8zejbiH477GmEfXWp z6T8sl6X489z8u52Velvd/KpI/Howmix1/CdXP8+PlW3nqV7b8+rapjPkflL GeDEtuqG+OvhbNjXwm8a8oVOLoY8rMEcQ35bxNTw3lBW97/GX93/H691/5M4 OBm+y2RXM3zvSntn+I4YpnuffbLR8N272v/yvwL/Ix3if6UE/mc6zP9OifwP lcj/Ukf5nyqJ/62S+B8rif+1jvE/1zE1V+tqv/peyVPylT6lX9mjt+9i6Pvq T/eXPBl665vlgYPm2oXmz4c0Sat7MmSG0fE5FSZqIwMbhn2P3axNDLjnVcX5 tLY7vU5vy6O5WiWXL5/MC3zSAiZ82FBuaT6x/PmZsBazCooNzG+zXilD7i8Q KL8vFSTlvZwi5ZtoUt+AHKm/1EZpjz5+vvfk+qq2vvs7la598t2j/MeWnJut RY/eF7h55h7titfNyQNa39b2tOj2tmej/GKz8edjrmeqiW/vf6RZdGwqZi+I mmxX0kbMXljgevxwTcxl/pL1SuzfzPeZyFsyVsrvgL5V9lJ/1h1pj/5827WU /ljlyv1Nl9csaeMWrT1xOx1cp+MTLSP2WfeAmRXEeO/MybVOW4vaYTfyxWn9 RfMxT4vtnjdSXD+zvcaDYZPEmpgTm1oWnSbuM+/DekP2L+P7VOTtQ/7EZVKf 82OpP5+9tEeff5vdZfx74999vt85x2bv77XVxZFT8SZtK3URrl8XLJo/cYxo PmmGXdXweWLmjVfzY8O9hVvChqed6/mJAi3F4qjJa0U35uNZr8H+gXx/CXnf kB+Ivgfod5sk7dHXR9lgmS9vPeV5nMbf48iLTb+4rUnhyaJ1YMKXbneXiVom FV4kbw8QZwKbj3ozOURodeZ18QoOFr/uNotwmhokrJlHst6C/VZ8vxJ5N5Cf jL7hS6T+KgHSHn39Lqc+0smfuZzPWPxvi/zRr91+eUUGiXZPNgTOaxkkElrX Xxe9eYqYnva7eOc1q5On78or9yE6OHnlZTkv0UKun8yT+5fzfRvkjUJ+V/S9 QP9Of2mPHl/KUY91yXcz8qkr51WWeHiir/DynYsXzF2cvONzfJN3LruSbZ8U cK52JSa5w5ku8cMmxCYPyJPzeNZfsz+J77shrxPyq6MvEP1bFJ7o8M/EVeLH HepzIvk/mvx6yPn9bSXj0wn9xRJW+ny7GpM8P/b0YbMhW5OHb+po4rvDJ3kH 85KsB7J/V3P5fRbyJiNfQ99r9HuDZ3p8DgPv7MGTm9RrHVUP5JvRFXmeS4lX hRhpT73Mnf03nQ0XVfpbtPy6NlZMY157n1w/wf4/5EN+5E1C/g307UT/MOzR 94/x4HMg+OcOvjSnfhdTH1fIv6TT8ny/bJDxE9hXb3dkYInth0QN5r9YzyYf PkXI76vlUG/Id0LfVvSXxB59f/PC/jW6eI7A32H4P5Z47CI+lsSrDvFbiX19 mFfg/N+x/yHfj0PeROS/QJ8X+hfo4qnOvxf5YPRB5ocD+TKP/LlIPt2jvtuS b3GHZP49wR574jcS+8eSn7PY/6GVYX66IV+g7z75eU6Xn6qeSlNf/tRbcerP TtUj9dmLeo1ZKut3Ifr9iVc1zrcJ9f+e9SBvuX8S39dHngXyC6DvFvrtdfWu 8CkDvPoFfvUAz0aAby3Bu/7gnxf67lK//pxnBfK3D/NXxK8GeNuZ77shbxry lb7iLaV+ex1+KrxfD/7vhR8coD/E0y+W0T/skF+DeFzn/CzIN436aMn8Fetq fye+j0HeMeQrfUnoTw407Eeqf/aeLvtpI/rrD/pt+bmy/8Yirwv+F+O8VP8e SD00pH47MR/CekP2K34Qg7x6yL+Avg7jpP5Luv6u+EhT+GbFh5KvlIW/rOL7 KPydxPk0Ip/6k/9HqVdn8CWJuT3r9dk/n+/fI28g8h+ir+UD+FpdQ76k+N3I DMn3PEwl/9sNv3MYL/3z1PFPG/I9h/r0AE+iwT9P5t9Zb8j+jXw/CHmdiF8I /HNyPanf6qYh/1R8uVSQ5M8/MuX6Lfhos4ky/tXIl93wldbwAWP6bVfw7u8z ic9TmCeALxXYL+Dzu+HzNeDzRTtIff9g3/T1hnz+/8r9iPtcQpv5OcYhU6ue fDdPjur3vC67tXGt6mpPu1VoeXa+hca98LCbTcyhpOf5TuabEjxe9Pp5gvvj kbiMXT2XLOuqefmHPP08r6q6Zyb++ZHj+rzxau3vpTffE8091X30aN/Zx7M/ Z8Rrh2qtcuvmuV3dW48eCTYquOlXhtZuak7E8Kkn1f02aejTUVtzo19qXVPf hCRWSVf34KQfHwr6bjr0Q2tW/bar0cd76r58rMvYnxbRzgXE+TZOw+slPlT3 6mNO/J7JfvV7BHL6npfylZznT6Te5OnSHqV3HXZurS3tV3ZWxK+hadJf5Vf8 LxmHlI4yPioOaVkybvl2y3iquKU4yDj79ZDxV3Fey7mkcV7qXNJ056dGtd6w l5STzvf5gh08DretdDJlqRyDXZdUz+nspF2d3WrgvWL9NGdtSfydmcHa31ET q3/x9te2RHca+ME0VbtS0Hz3lgfHtFdDn5659vy9tufbj519Ix9pO43HlPLw KiPcLueZHwv5qxU7/+umU8H6wjeq//yJxmXFiaReBT/0aiXGFvh5+1qj6qLb /PoPUi7Yia6e4xrWK19LdGTuzPoL9lvzfU/kPbwk5a9FXxD6Sw2T9hzBvg7Y azlG2u+PP+PnSv9iXKS/19dI/81WyXEr8Znf3TDvVfy9lstzMusjz6cr8aqG PI8Nn6yOfg/Wtq6Xo0P+RcnFd1zTpje1eHN15yUtoFm1Ca2bFBQ3oyanncr3 U2vUY8Pv1cJK5KVN/H7J2Ex0KLWhn0O2g/hmnTf4S6K1MG1i6rqu2GDx/PGz 3rn9u4upg0t8d20wTuTks3N42d1RVLIa0vPl1yniV9LiasFDXIQF8zTWp7H/ F98XQJ5ZWylfoO85+jthzx3s24+9KU2k/cPw5y7+BTBakT81iG++djI+KSsN ceLf/J4o68AN3Lg2Wp7TLCHPKQ59Y9B3oU2lnj5tiojDjK397h3sXqeVuGfX evT+H83EkcPBESueuYhtjfdWjH7ZT3xtXW/ombbuIvOa14+BPuNEHS+Pn8Pq LRFbFz1Pi8qbLfbvNy73dZCPMO/Vos7304tF7+ycI59+rxE5reyqvquxRDRg XoP1WPZv5PuWyDuPfKVvO/qPYs8L7LPD3mzsf8LojX+JKr7kaQJ5ewF8cMtn iKsKPwpdlzhzGHzZX0Dm//0omf8lo+U5buYcr2JPF+wJn16/z7ltg8UexjIm xS++OeUhBtWOSHtTeo54tm6e057A1aJzP1ePSrVXiq/dtnZytQkWzfJ8zm4R AeJeV4dGNReGiLhvZ9a7tw8W0xY9j6/2IEikPbas9elHsFjB/Cjr59nfku9v Iq8n8pW+Uegviz0R2LeNUcP+V/iTin/bydu21H9QIRmPvr9lfH5cMOxDCp8d 6EO9Z0n8zgJXuoArZ6iP5tTHTs75Cuc8AHsrYm/Vii3q+99eI0wYS01uVzHL N0S8jL06vXq/EHFwhGPzbh18xZKlI/bHNwsUDwZ1W3H9wZxkp29dj9QyWiam 1rp1198qKLnClWPuPaJniYHMe7HuyP7DfD8BeQ+Q/2eS1NcA/dUZy2PfTOyN x/79+NMR/27hby44X/e7jIcX/e1ZTcO+rfpfUXfZJ3/RHz+C17PA6wLgzgBw 5zb185n6UXn2kDx4gz/X8edjPe8uThb/uScx/hjxcn1Et03JYeNMjc5+DEw2 WdSg24Bt0ckvmkeuL78gIrlM2ZfGA9fEJmddvJtjdGNP8q4ycl6uhVz/uFDu d+F7v5FS3jLkfzCXY03O7yr2fMS+/tj7B/vz8KcL/il/l+P/OPpjoxAZn0M6 nqP4xUl4yDH4RwX6oCN98Dd4XgE8DwCXGoNL7amvh9RXMHkyiTzJxt9fxO9h etfuR47HJB9gbGzUu+KgrnuSDxo/cjvXYm9y/6C3q48OC0huPn5oxsiqe5Lt mRcuLtdN2O/L93cZTyE/En1b0B+IPc+xrwv2NtbhdEX8+wd/m+H/DOJRB16Y oOOFir91qCF5Xnf4XWv4xW/4RQZ90o0+WRu8PwreHwC3IsGtzK+y/gJdZf19 Is8ukEeJxCuuiIzHgKlNXL42mSR6TZPjlMBmu64sjhbBPVavqhi9WbRj/mS6 XB82Q461iOca5B1E/i/0NaT+u4AHe7AvCXt3Y39b/FmJf4fwNwf/9xGP28Tn ZTVDHq348Tx4dHv4c3d4mx287RH8ozb84wt9tDR99Dn9wJt+EJUmce0wuLac +qxLvR4ZJ/PMiTwr1lPGayHx8tI2uc/SDopAxiBGN9brsf8F399AnhHy96Nv I/r9wVnVvx5irx32P8UfG/x7g7/m+O9FPBYTn2+tDe8dajxCfH3ZN5r4t0BO HOdjhx5bzq8mdlzgfEdjZzT5OED1C3CtC34GkD8ziUPsZJlfA4mTL6Mf8fNi 7sB4h7ycwvfhyLNHfiP0uaD/NfasxL4U7LXH/pr40xb/ruJvbfxfQTxWEp8F unuaysue1PsD8nYWePCQvL4DXqwi78PAk13URQvw5jF1swE8KkZdjQCvjlB3 WeCZBXVpw/hytoxPKvEJoq5tmXdxl+tR7N8NLuQhrxD9agv6LoErsdizFfvs sfcK9nvjz0T8+4G/X/HfmXgMIz49dPdahZNnJsv+EwKOHqQ/lQNnX3MPqQ8O 59DfmoDTw+h/aeD4K/pjM3Deiz5alb56mH5wC//3Et/N5NUf+nMx+swr5m9Z /87+SXy/GrmlGa+hrzn6H2JPHvYNwF5L7Ff3A3XPeoG/JvifQTzWEZ+0yYbv AKpvtzWTfEjxni/wx7n0/bPwKQd4QTh86wu8YTp8LAle8bmC5Gvf4D3vGQvi XyL+hZI3QwbKvFG8xoZ6zATnhjEvzPpZ8tyW7/sgrz3y3yq+xVgW/piNfR7Y +x37FR/ujn+p+Kt4Xyf44xJ4j3VNw3cTxSMX8U60EZ45GP7+DB6aCL/vAU/N by/5/054bDD3g0rwXBPG8th/A/sfkxf3yItp1FsO9ZYAju0Cxw7Tr4KYf2D9 K/tX832R7lLeM+TfR19L9P8uLe0pjV3x2HtBd19sj39n8bcw95As3jdec08Z rXtnUvcar+byvnj6p7z3bON+3ZN70Vfum+u4N53lPtqEe5UFYxT27ce+MZz7 O869N/Wk7sN1wakocOo4+G8B/l+jr6r7tVpfz/66Oh7YWcevp6D/Kvacxr46 2NuG8YV6L8C/efibx734Lffr8n9kfMJ/BBu8y6l7drsq8v3C44a8h6+YJd83 jHinKMB7zzXu8amM79Afif7bnKsF5xpKvdhRL6fAocLg0DrwfQr4bkffVPzq DXykJvPGrKv3IcWfCyLvLPJ7oi8Y/fWxJwv70rHX2Fra3x1/RjC+wd9E/A93 l/Gom8Y7ZnXDd0z17pPSUb6n5Zbl/XiSfG/z7S/fjS71k6MV8icivy3ntoNz y6MeClEPueBMMDhTgfuWK/j9hr54m76YCt8oDt/4oN7NmF9g/S77H/N9b+QV R77S9wz99tjzF/u+Yu8Y7M/mXceb97ICTtLfQ45ybLpAxqNdfRkfx66G777q HdJ7jnzndegk3ykLMOabwfemxJd3yVXX5blUGivz/RbvIPnA1TvgSDz9KpP+ pd5ZM7h/toJPrIZPhMHTNsDT5sJ/5zEPZP0y+534/g/y8tFX16JPveNuwR57 cK4h9npQr+q9fL2H9M+spfS3nZf039VBxqM141kPw3dy/ft4+7mG670dDOOe 0sUwn71eGeLEgcuG+Guu+z/gse5/g706HnapmiG/vaC7N9TQ/a9R+LzhPXf5 dMP3g7F1DN9l6lwxfO8KtzZ8R2wXa/g+W0T3f88Vj//+v8KP59WvfPSc1PJ7 aYsWD9JOt7qxpo1rxLX3rbvd3H/5V79vbdw9f5b7UuC29ebOl8d+cgxu+3Gu Q8VeixrYzGk71HZn+3CbLsNvbrDe9t6mhd1T049NatuGeVerPXdAc1s1V+tq v/peyVPylT6lX9mjt29hZNmuH9bknojo1dcitmUBbYX7irq5rs20yS0T3I4/ H6c13pLfIq1xmFYytJbDkJtntGrvh2+47fJIK7hn7qrh0V80E9cq0zTbguJa xXu7Uh8VEQWZf9ot1yuzvxbf2yKvQzMpf/NUqa9dP6n/EPbo4+fWV64ftynZ 5rB/C83vfGL5emtmaFftux85Wilaq+xpVPpR9B1tzSK3T0VGFRAlK0eeG+1m JvbY51WwCmkhfuyv8nNtj3Zi8t59jgs7dRQ/mUexXor9G/jeHnnHNSk/Bn3P 20r907FHf75R+POA/Zv8TbLuW+zXUvrmeERefqJFFfPT/hhXFOuPbbzfO5+d SLj90r5GLRcRMzP9c0ezieJTqvaj5tdZ4v7EQl735nuI98zjWD/O/mi+V/Km IT8bfWPQ7zFd2qPPv1fE3w//fPg+fkCW9/nM6uLkULsvu1y7i7nvw9uVXDBF HPv5rX/TF96i/e4nAd2vrhe3wmIuVBq0Xfx84Xq+zOOd4ibz7qyfZv8yvs9E XhLyg9AXgn6b5tIefX18CpP50pzz2Ii/N5D3eOPEQxYVZomP9uXtykQFiTre 011a/ogSv3NSW4xZkihO5oSmmk05JXwOju22bNEZcYL5H9brsz+fJr9/hLzz yN+Fvp7oP4s9+vrN3iDzezP5s47z8cT/b9h32b2DWeOcOLGxUNiYFr5nxIEu C563d7ouTN5cqZZlmyWSTrnO6Pc5W5RlrtY3sf8G3+fHXhXfDeg7jP7P2KPH l0fvZD2WJ98jyadUzqsW8QhG3/KPqeMtAzKEcSNrN/vaOSLdKz1oT51csXiT e7ta63NFFvNSrPuyX9lrhbzLyI9Hnzn607BHj3+PwI8D1Gck+d+N/PrJ+cUR n2Lo98j0zOmSmyuKu/cRCy1zRcMP51Nbe98XJZkvYN2E/Sq+Kl+U/HD0paH/ IPbo8Vnh3Vfw5A31ept6OEa+Fec8rxEvY+zxqLN7Z+TkW+JLaImiVj8zxBLm yn4Vb5UfSl4O8l+hr0Kc1H/NRdqj7x/nweeJ4F8W+JL/paxfP+rjIPm3iPO1 In6fsc/jxak7ZvWuiK/Mm7Luxf5jfL8KeQofrqNvEfp3YY++v/3G/vfE8zX+ KX9P4X8x4pFGfIoSr9nET9m3iLk6/wyVr7p4ZiFf6StBPF/p4qnOvxj9L4b8 OES+9CB/8t/77/k5k/wrgj11iZ/Kh/msl2b/Qb7/Tn4q/N2JvrPoT9Xlp6qn b9RXFertIPV3hXqsrav3pdSvEfpVvi7gfFW8FR74sD+U75W8U8iPQl8D9F/X 1bvCp6/g1QHwKxg8WwG+fQc/08C/DehT8TXmPBPIP3W+al3h7XUdfq5Cvi/6 TqP/sA4/Fd4vBv/70Q820R/S6Rf/0D9+YG8tXT9KJt9WUB8q/xSe1WP/H3vD fnQR+UHoG6r06/qR6p8NW8h+2ov+uo9+m0D/PYO8Sfiv+rVGfmVQD9+p3xvM O+j6+3y+v4S8U8jfir7l6C+k6++Kj3yeJfnJnFTJV+oFSP4SzfcX8Hcr53OU fIon/z/r+NIP5gdYP8n+KL6PRt4G5EfCl9bDl5rr+JLid37dJN+Lspf8bxj7 zfDv0WJ5HsvIn0KKT1Kfb8EzN/DvE/OtrKv9IXxfnfOdhfzT6LsP/x3fx5B/ Kr4cul3y57Cuct1Hx+dXbpX54qb4OPy8BXjWkH72Hnxuyrwh613YP4nv1f3A nnybPUXqc+sv9beMNuTz/1fuR25eC5a7D6/WqmXdLRUvzX54wrGOHNXv+Q5s m5E59O4Jr/ytBpZLzDlRZ+ylubPKurUe9HZ+1QGTLTWHzOeFH/err83qPi9q 3ZF5bf4UvWLeyqyvNmzOziEZm9prHcxTq3n2nGq90X5up0aVfLWY2COfi4Yv 0Pp9ezv08UrbtkMsb7kcWn5IG7DvSWjXSzu0AdG9zO275LVt8jy9X8ylLC22 ygyPv+tTNLc3obEtFk6wydxT3Su15lutVvGbdmlVMzXvuUFlPQ+m2SS9XXik S9IfrdXRgGk1P+RqEy8GbbK1K2U7fezCxNqzC4vDVq8dM2vnaQ87Xz3X/Gxj 27n8Xp396vdDyCmPfCXnLno3YI/S2wE7rbFf2TkGv8LwV/kVosk45HeX8VFx iCgm4+ZxVcZTxW3pGxnn8K8t/yf+Ks5eh+S55NaS56XOZXotw/NTo1pPeSnl 5MbJ7+PNRh7I7m6pFa0tx/klsxabznLS5nWPr7rRu7+2uMuKoLZVQ7RPjUbv D6rrr00u6rOl6KXzmlWlFpUOOp7Uste1eDHz5wfNs+zwhp+ePNaaj+9z+mtw OVG70fa0NlPyC4s+q6JE3QYipfT92fmPlhe1U9Zt8hY2YoPZhARP61riTv4x v23MOwgnX+18oSF1xU3mar0G+4/yvRXyaiFf6VuL/mfY0xH7rLH3UGNp/3T8 yd9T+tcbf58Sh9Bacgw/SN4XNMx7Ff+i1+Q5reV8DveQ8sYj79PEZ8aLe6zX Wk6SY8TqZwO6JF3XzvVqndkqNE170vBEow++BUWbEctmOh39qX3Q5r2L+dlQ NN5YfVC5abWEqdGZccc+9hCJ3VKrfvtmJ1zWh+X9HTlSjJp6c8xl/76ipuNw 81H13MWG84PGXM8dJIK+b2zUvstccenKu+DQ5cNFCPN1rNdi/2i+H4S808iv jj479BcQ0p6O2PcHe0dg/yr8yYd/jRkH4/9z8ucW8YlIN8QJld+J02UdrCL/ IzmnRZzTQPSFo8/820bT7b2LCGPGPpadtfK92ohVd72Hf9jSQpyL+tDsyodh ItQkMie3v7M49K7mkze1F4je2edtW5R1FwkZY6rnLfEXCUO6T4nuvVRc33fo imuFLeLptaQtRkv8xGvLnc/9au8Uj9ckWEXN8xdvmD9jPZP9R/k+CXkDkH8U fWHoz8Ke1dg3GHvrYn8Nxo34twR/N+H/JuLRkPiYuxviqsIPJ3BmC/hiS/43 Iv9rc47fOEc/7BmEPctHn/Z0rDTy3zG8i+Xzko7e4nDtokGrBi8VjYNn+PU8 Ey6Keq+JaDhmo/AJyAqK9YwXR9x9D1+rHCXuVDDqXq32SeHYzMV3+eJ48eP8 vHmNPp0WqZ8150FfDv07V+t32X+c71cjrxTym6EvBf37sMcP+3wZB2K/iu9v /GuGvw74v5Z49CU+d2MM+5DC5zmxEscHgt9bwJU74Ep16iM/9bGJc77COR/C 3j3YW7LxxBNl7HaK0oyzNic6FUtNElMd932IPH5EfGk0K8Ct9iXR/Gd2XAfL c+Lky3fjNLMMEby02sznr9JE8dafWpdely2qhA6ZWebRtX/nQawns78F339H 3gzkz0NfefRXZIzGvlPYq/J0J/6o+m+Kv0/xP5F4hKj4xBr2bdX/OtAnB9Af G4PX5uD1Jh3uuKj6pH4KkQcq76bgj4qfRYGBTb4/SROWjG8KLt/6tNst8Z8b m81432yxJTV4bu2L94VZ3+QGhY7dFe6DW06ouSxXXJzfdvMAp3tiJvNarIez P4/vPyKvIfLVuAD9Kr4qT0tj7znsH4w/9fAvDn9b4n9v4jGU+JTQ8RzFL+4a Sx7yGf5xhj5YnT7oDJ4PB8+TwCWFc4eoL1/qq7EuTx7ir4pfeE/hFVI499/R 7kqJLxMu54oNqw7VLvk+V7Qp4/PoePEHYn37ee1eX8gVbZmHst6O/Tv5fgfj J+QrfT/Qr/JW1X8S9h7D/hP4MwL/BuFvLfz/qXhFpIyPu7EhL1T8rTQ87wT8 Lhh+YQa/WEifrEOffAPe3wDv+4Jbt8GtddTfceqvMnkUSh6peNkSj6OhEybV jcgRhxlNvp7q6FAvS0QNCn26zfW2KMf8BOsnGQXfb0ReGPJV3iq8UHig7HPC 3mzsf4c/lvi3FH+r4P8Z4mHyTsYnPtGQRyt+HAqPngl/7gtvy4K3xcA/NsI/ ntFHVV89r+sH5cE1I3DtNPU5lfpUedaSPNtNvEoTr8ul5iwb9PmauMp4nVHF M5b9NipPkTdDhwcl0G+KPd91/es99ufhz1b8O4m/6fjvQTy2E59hunuHGk3I Rw/2+RP/q8iZz/mEoucD5/cWO1Qf/YWdgZx/UfyoRH5Mwc8g8qcpcVB5WIo4 lWRMI34qP8syHme/ja7eFY7WRJ+xrj99xb7+2Kv41D/4sxn/VuOvyqMjxGMd 8XmeaHhPU3lZkntaFHV9EjxQ9waFF/XIe4UnWdSF4i/3qJtm4NEJ6uoeeBVC 3YWBZ9bUpRrjiU9z4rOLvFN5q+pfY78aFT5uRf4T9KXo+nom9h3G3gwdDzXH v+H4q3DtBfH4TnzCjA3vtQonB9F/ftFnmtOfGoCzkfSvMeCw6m8Kp43of37g uOrX38D5+ro+rcYt+L8B/1WeqvoPpF6n6vJY4ex2vn+HPNW3m6JP6Z+JPaoP FsPew9jvhD+qjx7AX3P87088atJnSuveAVTfPgEfGkZf3wtfakHfrwGfsoQX bINvnYQ3HNPx7VLwtbnwjjmMivd8xr8H5I3qR6bUox5XiyicY/0Y+9X3ihc0 Qr4H+pR+xR/1/FzZvxV/auKfOf42xv/rxGMp8bGNNXw3UTwyca/k54fgmfvh 74qHl4Xfl4GnBsP/r8FjV3I/iILnKj5eDvsbYv90XV6oelN9NAAcU/2qHP1B 4ZrCOXX/aa7jM4onNkdfBR3/jmX0wd7b2L8Of/Lhnxn+3sP/WOIRQXyqxRi+ M6l7TST3xbbce4Zxn3TmXhTIffMT96Zq3EdHcq8aqu5X2HcV+45z7kmcu6p/ xTuP6HBqAPiveMAp+upL5opfXWP/Qb4/gjxVr+p+fQL9mdizCvtcsXcEYy38 eY9/nvjbDf/3EI9pxKfgdMN3OXXPDrst3y/uGMl7+IOu8n3jNvd0b94/tnKP X8+o7vdf0T+fc/2H954Q6qUS9aLeEdR7z0HwvTr4/oS+qd571DvFeubqHUO9 9xzm+4HI64/8GuhT+v9ijw/2/cJeC+xX71c7GSvj70L8L8L71w/ef9emG75j qnefcEv5npb6Xr4L+dWV721uJeS70TDGgciPRf55zm0G5+ZGPXyhHqzBmTbg TAr43QL8Vu9elvTFAPhGDnzjCjxOzdW7WiP2j+F7a+SdRX4H9Nmi/yP2tMe+ rtjrjf0LVLzwbwXvZUmMZrzDjuZ93a1IK4N3X/UO+auqfOc1u847cLocw4hn LvHtzTtcJOdSmXwvQr5frihxpC44Mhd8bgY+m9D3DsALouETm+ATfvC0kfC0 nvDfCcyDWN/F/ji+T0ZeBfVOjD4v9HtgTzdw7gX/H/TCfnNj6U9z3nH9Xkt/ rXnHVf9b5PKOG6d7J9e/j1+obrjuZWYY97JZhvlsNdcQJwrGGeJvtu7/gGJV DfmCt+7/hSm6/yH+6O4NU3X/a8zQ/f9RsKrh+8Fp3f8pO3T/u9yaZfiOaH3N 8H0290dLg3fvhWb//X8F/kc6xP9KCfzPdJj/nY7wP1RimPxf6ij/UyXxv1US /2Ml8b/WMf7nOqbmal3tV98reUq+0qf0K3v09vmnV//sVuD1ib5H8v3aNbCO ZvLnc/OXLdtrH02P/jC5tEyb6uBb6eWAOC19SJHbT6MytCeWudNWhbzVho2K cBjmnl/0fRf5olhscdHk9I+i06qaiDHMTVlfyv77fB+DvHpVpPzjv6W+yQlS f7tL0h59/NwOyfUc38C49pW7acO7jZ4Y9361FvbAwfHEq5NazLgKx4fWeaU5 +2wOHpZWWsy9/aTM9b31xXFv0w4JZ6zFeFPjtwc/dRAmvkXmbj/fWQxinsJ6 LPsn8P0u5MXdl/J3o893tdSfclDaoz/fpV+kPw17yv2XFha9sLbEGc1174nX qTu/aU6/L8SdqltHhET2N03Y2EFcPrnm4prurmL1JbOjZkljRc8mh2fOqjpd TBzf2fZPvhliLHO1ns3+VXzvibweyO+0SOrrg715+b78jz36/KtD/Efhn+D7 ckMCere6ZCnWjY4rNa57X7Hs6pZx/u8niJlznme1+7xALB7+Z3ma0Qpx0rbk i2W+q8WymDfN7IeuEQ+Ze7C+g/3r+H4l8h4PlvLbKX2cn39laY++Pg50lvli M16exxD89Udeo24vy//jPl1k9bZbu33qcjEqoECrY57+YnyEc6WIqEBh93pU TIff/uLgucpNJ7quE69eyXkk647sf8b3NshT9s5BXwD5cIj81dev5VCZ3/nI nzmczwr8z0X++WrL5/bPDRDjG4fZl8+3ThSt1iuiSOs+ooCry/OS5n7J7a8E N/S7FZTcepCcfzKT60nsf8z3acgLRL4P+kLQXwx79PhynnqcQr5nkk/enNdg 4rG2idT3PGXcpXk7liRnbU+0efp3R3LxpSMy1leISn7XP/Rqt41RyanM37D+ KVnuz8be3sgLR/5F9O1Gf1vs0eNf6kiJH9nU5zjyfz75pXF+TpVkfArvkPpj fnz+5mwelXx3x5J9s9qFJX87WL5xbOvVyUV2ynlV1o3Yv9pcfm+FvAnIn4a+ X+gvA57p8XkOeOcCnqh6fUY91Cb/QjjfUcSrWoS0p97Kylcn7tgk3r21fjtr aJRwYN4Xe3+xfw/fvyF/fyJ/CvpGob8z9uj7xz7w+biPxL9V4Et36rdFqqyP vDSZfwGc7+l4Gb/32Hd+8qCPi9Lj/3O/lXM34tuM/c3J3w3UWyvkT0DfX/Qv xx59f3uJ/WXxZxL++eDvdfxvP1DGw4P4zCde3YhfAex7u4L4sm7Mfh++t+J8 biF/GPqc0b9WF091/mHkwxLyI458cSd/epBPwXXIL/LtIPk3k/MfmyDjp857 FetPqacpzeX3XZA3C/ne6PuI/ja6/FT15GYl62sJ9faY+ttEPQ7R1Xt16rcU 9g4hXk6cr8rfo9iXw/76fO+KvBXIz0GfJ/prWhnWu8KnGeCVBfgVD56Fg2+Z 4N0X8G8++m5Yyfh0Bi/Xkn9LmbetK9dvgkcFq8vvXyJvJ/JVP52P/jY6/FR4 b9JF4v9O+sEo+sMq+kUz+sdP5Cs8XcP5/SF/f52V9XGL+WbWfdn/je9rIs8D +ePQF4z+J7p+pPpn8Uqyn3rnyv5qSb+tRX8PRN5y/N/MeY3S9fda1O8J5uNY H8L+AL4PR94b+rsv+lbBL1ZWMezvio/0LCb5yUAHyVci4S8WfL8ef9dzPrfI p2Dyfwb1Ohl8mco8kvXX7A/n+x7IC0R+NPzsdnep3/THZwO+pPhdygHJ9yyC JP+Lg191gr+s4TyakT+LyPdD1Gc38OQa+NeWeRjro9lfgu8HwXcE8TuNfWZ+ 8M8EQ/6p+HLKZcmfz+6X6y3h1/mJvw3524/8DqT/2oIfn8G7zeDzC+aerI+l fo/w/Tb4WTLyLX5KfSbw9ZTrhnz+/8r9iPtcgt3ZalZjrpucPHRGjur3Qi8r jw2e3ECLq1qhSrVdTbS68l542M1v/cwtleqcvFXc+u/HY01Pcn88ctV/1ofl 9jO0N7v9ipx6OlbdMxNXNVqzccDcrdqsrVerZp0OUPfRo4/a1c34Ueyc5mK9 Z7xV84Pq3nq0qLdnoMv2x5qxQ6+0dQlX1f02aVFowvD4N9+01392LzxY+aG2 XN6Dk7rm7vYPTCoiNgzr9GJCx5fqvnysjf+gHu0XlBKujcfv8Dj/Vt2rj1Xk 92fsV79bImcb8pWcWPS+7CTtUXqtsHM69is73+HXRfxVfn1pKOMgomV8VBxe ELeipWU8Vdza+cg4exB/FWe3F/JcwjgvdS5NzxqenxrVumk1KSeR75uGzG+X Odz8ZNx6Of7oeqF5i3VztdBPgbOWZM7SVhT5Xs6oRJSWNfx+rybuO7VSz9a9 vul2Rzuyv+A/dydc10a1K152hVN+8fZ3xJypcR80l/fGOR/Tqv/n/lOru0X7 EuKJz96tVj+aiXIZtl26VKshzJevtGy/UYg/XifjT46tLxJqel9Zfa2T6BQY VbFA8QbiAHO1bsr+pnyfhTyTIVK+M/oK/pH6p2DPTuzrjr3tsH8Q/tzDvyX4 axIs/b8eKMeixMdfl/cq/k0ry3NyWy3PZ+8XKc+5m5RXYNuvpqPfRWuNwuVo t+jnwBZJj7V9jkkvzhzI1bYdvj/+ddmy4mN0D79jjsbi0/tftc0PthRmFp/e 1fSxEh6bNxS9cPQ//X7yTSNPhw5i8eIr1b2bjRCn6sfcHGPcX8xwvhlikz5J rLRcF1BlyyDxekVQyuMF7iKk1+Dp5ZsPE9+Zr2N9GfvP8b0v8uyQvwl9luh/ ij1V90r7orH3Nvb/WCj9KYJ/joz+xNOe+Oau+O84ofJ75l5ZBxUCZf7X5Jz8 C8tzykafBfE7fW/M0AZ55UUi44dt0y9P/SCEf/iAfE932YqHHyasrnN8mOh7 5JvL6osuIqfLyMihCTOF38N+fw/WmiwGxXi6ziyxVMS+v7iwsJuHOGjkYLZB 8xG33v0u/WOyl3jt9HpZrPEaUW9yatqgokvFM+ZXWT/F/mN874q8bci/iz4X 9Bf6KO2Zjn3G4dLeAzo/CuPfUfyNIU+PEI8+4MOKSENcVfixMEzijC/48oX8 dyf/L5NnezjHAOz5TPzO9D8+LXP+CHGWsWObC2etKi8QfrfaHri4wEPU7p1T YlSp1eJy8PvWR/qtFB8nL9JO2weKON8rSx/b/ocHnyjuXqVBoPB5ceJcYsdA 0TslpWN8NX8R5blvffzOQGHP3IP1Oezfx/e/kPcY+XXQtxr9/bHnMvalMhYm nvPxZx/+mZO3ZfB/D/FYTB8qtc2wDyl8LtsWHG8v8TsdXLMFVypSH8+oj/6c 81vybin29sHep2csY54+9BMXGPPyTwzxWRsoylUPGnY/OlCMf2U2x/vVUpHd NGpGmXN+opyTbb3tHxcmFzPyPmnm7SFut7kTt39DYHKvJZYbx14eISys5bwJ 67+d2d9Mfv/9pZRnhvws9GWj/wNjb+zzwd6/2D8af5R/ZfF3Lf4XAWef0N+W 6fq26n/3O8s+eW657I9n6AfDwevm4M4ScGct9ZNL/aSRB7bkwe9q0p+3+GNh F2vmlOQhxjKeG7p0potPaLKf1fPtlrMCkxd8vzGyRY89yQFmx9+X6LkjeXL4 nk2ND0UlZ5Sun7K9wK7k3cy3sO7G/hF8H4e8y8i/Yi/HFPTXJ74tse8i9j7E /hj8Cce/pvir+qMN/asu/GFHJ0Oeo/jFg9+Sh3jBP5bRB6/QB/eC58vB8yvg Um9waauuvjqTJ1vIk674m3+Y9Ndos83O638jkwXjKKszp38nRiSvmX//yrGc PckDfye5LfQMSJ7vfWFH+PqI5DnMB7K+lv0a3z/ZJMc7xLMM+sag3wh7/mJf LPY6YH8q/qzDv3j8zcb/hcTjFfGx1PFCxd8uw/P2wu9ewy9uLJP8Yg59ci99 8jJ4vx68DwC3ZoBbo6k/MxdZf/vIoznk0SHiMYh4tLPKirg1z0iYHZHjkXq/ uqQO3y2CPjTI17x3iIhj7qZl/896uLkcN/L9MORtRr4n+i5S/+2xxwv7xmHv Luy/jT8R+LcZf3/jf40lMh6riU+EjkcrftyzqeTRW9ZJ/nwtQPK2dHhbJPzj HfyjBH3U2Fn20Vj6QRv6wWpPiWsx4Fw1E1mf1tTnd/KsBHk2m3iFE6/13Qs5 Dut9QGxnDGZ8yXoj9nfg++vIm4L8MuizA1ftwNmO2LcPexUPqIo/H/EvBn9P 4H9VeKw594vJTQzvHWps5Cbju5Y47iAfzyAnivP5Bz2XOL932LGc822GnW6c f1n8ULg2FD/tyZ9GxMGrrMzDfcQpkHEf8TvBPJ4xfIrMx6J831fhAfJVPt7j HJOLSHsaYd9c7C1AHqTjz038i8Tf2/hfhHzMJD5Gww3vaSovR/+V9Z73QObt 9XSJBw24N5wHL2aR93vBk/3URRh4M5G6OUEfLkBdVwGvTlN3FcG1ddRlAmO+ EBlPb+Kj8m4sczMHuX6S/csZqyNvEfIboa8Ldf0Ze7Zhn8JzVddH8Wc1/h3H 37/UtRP4GEVdL9LdaxVOLuWerfrMQfr1C3BW3RM2gMO76W9O4PRJ+l+JKRLH K9MfjeA3B+ijv+kDleg3JfH/OP5PIq/8yKts6nUB886s72e/6lfpyP3F2Ih+ bYr+WtjznT6jeKwz9ofgj7pntcPfv/j/kHgsJj5+DobvAKpve8If/8J7rsAf 19L3reBT6+EFfRR/hDd4wMds4BXGZyVfuwPvyGD8jn/Z9NGm5I0FebOSeuwO HryH93ynPv1ZN4Jv+vL9TuK1jfP6gL5cRsVn22Gf4ruPsX8C/mzAvwr4Ox7/ C8AfFe9J1L2bKB65Fn7uB89cCH9fBw/ND7//DU+dDf+vwH1L3RM6wXOdGJ9j v+Jtmi4vTOEjk6m32eCYKTjWgv5Qlnkh1meyv5/CD+pA8XBL9D1E/xzsGcd4 DntLYL/y5yH+1cVfH/wPIh4fiU/PbYbvTOpe47tD3hefNJH3nl9u8j554Km8 F83hvnmRe9M97qNvuRd+Y1T3rWLYt5Zzf8S5Z1BP/amn0+BUJDil8D+P/nWY vnqBuTfrO9l/mO+VvG/If4K+Nej/yL3lIPaV4z6o7tnx+OOHfw/wtxv3whHc r024F27Qvcupe/bzfPL9osFaeQ+Pei/fN7KN5D196Xb5/vGWd5HbjHfRfxb9 MznXXM5V1X8A9RIGDvmAQwngux/4fpG++ZS+WRk+ot5/0lj3Zn8k369EnsK5 Eejrh35VR1uxbzP2HsT+zrxP9GD0532rKu8UPp9lPOwCZHyaljN8x1TvPrcq y/e08IXyXchrpXxvu+Ig340+MK7lPSkf8T3HuTXh3GpTD77UQyNwZiQ40xL8 zgG/T9MX68ELNsE3rsM3tsHjLjBfz7ot+9P4/inyeiE/AX2O6O+APXd4b1mG va+wvxDxiiF+t3gvi2HMDZLx8F8l45NYzfDdV71DOvLOm/hcvlN+YvRfIb/P XSy/X847XCfej5LI9/vk+2xw5BQ4kkG/ekr/ekHfW0PfM4NPWMMnbsBbz8LT fnIfuMH8POvl2f8XfrYWeTHID0TfIfSn8f7SOE7ap/GuVQr7O5Nnk8k7L+Jl 5i/9d+X9Nh/j8rOG7+T693Ez3bpJZcO4p5QyzOfXUYY4sVmHv/3bGva10M6G fOGRjoed0fHbP7p7w73hhvcx7a/hPfeu7n+SL20N32UOhxm+d7nuNXxHDDUx fJ81rWL47q3/X0iNi80GvwlrNLJls/Kdpz+5k9iq7cnLAdX8nrVuOj3179py 79pM/TO06upV160jfgVGtHvo29YrKF/XnAa1bY5NqK+9XhRic3H23GjTns9s VlxICZlW3NS264dnF0bZWNiquVpX+9X3Sp6Sr/Qp/coevX2J004kHS364ESJ zlN/7h9RXZv2d9urzlN7au8Dkx7ParNMO/W7ho+f+wGt4/26bQq5Z2nRO2vd 6PDkvTa4aOC1EzsKiY2jXSd63DYRExKr3lp3tZwIYe7Ieiz7p/P9fuQdC5Dy N/+S+ip2l/rbLZb26OMX2kWuH35s7bPdtZ82aF+FvGg3P+3Bwylpfe+kaM3s fi18lvVac1rqZdcyuYw45rH3VvDkhiIqL9Wy5DEhHu2t8fnpmG7ixdXFj1fu 6SWyme9j/ST73fi+C/J6PpLy66PvJPrtsUd/vha/pT/r2B8bVaej6Y2z2pUy jWqX7vRdO/7uyPl2hc2FcdPJDs6FuoiiLzeN6GcxQoxvWbmaqDlD7Hk0+Z97 fxeIk8XWWK809xK7mE9h3Zj9pnx/DHmhyI9D31j078Ieff615Hwt8G833xe3 +H7qW5uG4qGPz++4247C6MjSf2rNmyUeLdlW0+rGauFWt7ulQ9/NIrbThNCu NSJE+f3uHTbc2C32Mh/P+jP2l+b7j8irhPwY9LVFfz7s0dfHIfKlDedxAH/f Ie9VjZ8J7dstEA9DsztczNkgjJ5bWrWwiRXlXtXf2LBbkpidcq393janxYzP BW64tD4rZjKvxHpR9r/l+/fIe4b8c+jrj/472KOv3ynkdx/ypxjno+L3D/Lf jrg6osPGePHRwXPc13ZnRdr97b1sna6L8AsOlT4/yBQFM99le83JFjuYX2H9 K/s/8/175JkgvwT6JqK/P/bo8SWCetxHvhcgn55zXip+79C333NJRgenDJG4 I6HpqNZ3RY8vCYOWlH0g7g9vvER7/0D0ZH6c9cPsV/aWRN4H5BdB31P0r8Ae Pf71BD/iqE9VH+PIrzKc31Xicxj9mnMpk9Gdc8XBT7uj74Q/EImNBu52b3Bf JDJvz/oJ9qv4l0XeBOSPRF8G+ltijx6fN4F3V8CTHdTrPuphBvm2mfPsTLzi sKf6+8YhT4veFv3MbnlFNc4S5syPsN6d/SofVP7GI38L+r6hfxH26PvHDPD5 Lvh3HHypRP3Opj5+Zsj8u8v5HiF+fbDv/uiSWz6NuS6cmZ9k/Qn7Vf66I68c 8hPRV/ia1O+CPfr+pvrHNfzZjn/KXw9dPDXis494VSN+/bGvDnN1/r3Zv5Xv 3ZGnzmsz+n6g31MXT3X+Y8iH7eTHNPJlEvmj8EXVbwL5Zk3+RWNPDPE7wNye 9WPsv8b3JZGn8HcE+rLR31iXn6qeIqmvc9RbIervg67eFR4doH6VvR2I1y3O VzA/wvohXb0XQd4T5OdHXx76V+nqXeFTV/BqNPil8Ezh21Mdfn7W4afKhz/k bxhztf6F/V/5/h3yyiI/H/q80F9Kh58K72+D/x3oByfoD2/oFz/oH6+QX5B4 VND1o+nUh8IHhT/Gun70FnlK/kH0TUC/v64fqf7Zi35am/6aQr8tS/99jLyC +K/69VDyK5p6KEv9RjJX+feY/UX5/hXyKiJ/Pfp6oH9dgGF/V3xk1x/JT6x0 fOkC36fjbynOR/GfyeR/JPV6GnyJ1fGlUuyvoONLR5GfjL4F6M/R8SXF74Z2 k3wvFP53g/3P4Z+VOY+u5M9B8n0L9an6w33wN4P5TtYT2O/M94rPViV+ibFS 36A8qb9UZ0P++S+fXyD5czf46UX4dY8gGX/rPzJf/Mjv49TjFPAjGrxbBT7H MZ/B+nn27+b7l+SfB/lWlPuDQ1epf/pcQz7/f+V+tPFAyRzXU2VbnXap3Nl/ 7PcTKYzq94UuXwZdjSirzYmMyAxtX16rsrz9RD/h1Dp9XrfvLtVbarUb1Bm8 vl1DrVR/59uv/k5v86dV//rW/0zTJh4Mu+AVP0qbPaZ2vs5Go60Xvbm703lV uDbhkFtsql2gtvD7ozt3mzdv2yokddrwh6nar4nVpqdUTdAqXi20rsa1O21D AvZHv3/5RJvxT8MxWs0b2rLLR3L233KzuZd6aW1Zo9/attknLvp7P9asNu9d //zbaZvKi+vv7OVSXJh9e9xl8LG32lftWdryXwVtR/6sdcFzb1nxcu30yr/D P2jPB0YMHONc13YYv9dnv/q9DHLWIF/JeYneidij9G7AznqTpP3KTkf8aoO/ yq904jDzgIyPisOl1jJuwbVkPFXcLDxknF2iZfxVnH+4ynPp6yrPS52L1UDD 81OjWl+KnE2ca5zNO3vfoJZaITs5Hjj7sGtq3ixtzfBFs165ztCCVtx4Gfpw rzZ3b+8A6667NOfPRx3Knr+rbR/m+Hvn7hta/ZJpvrWLFBR3Emu0OjLvk2ay ttCHvctqiYmLdrvmtDcR4uOMkLClrUXr/fZ+n2vWFnXSexb5fL6TsLr65JFJ yUaiX/fmLQL+H3VnGtVj9PV9Q6ZMGUqZx0whs6LrFEUyz3PmzBEyRSpTKkNk SAkRMk+h0C8zGVMhQobMQ8bMnvu5z+f81/pd637W8/p+ddbVOWfv795n7+/e 5/xeVL6zcEx0nfn+u63owndN5iuzvgn7NeRNRn4Z9GWhvyV4joKvLnjz7JH4 12BP/WHSPl/sFfjBqbUcd+HfUbHGca/8v4pzus75KHkHkLdvQocpKeX3aW8Y Sx/Pur/P+ZmW0iZriH23x9ph7/gdMb5lxLb4s87THIuJH2Nt76SdbyXa2Qrh /rqhaP165IYKE/uIvtV//cns0kFMKxb/e1rt8aLleYPH2F/9xfRCr9zLd5gp Xn5IqbBmyUjxKizPhbZPfIVfjmkzh80e4iXfz5n3Zr09++cgbyjyHdA3EP35 xkk8u8F3Gby7wf/3mLTnIvZdZwzH/t/ETzF4wqaWMU+o+O5+SObBTeL/FnG2 nnNS+szw38NCP9y+97cQFxlvzu++0XxiO9EmoMHiRmsdhUODm3ErpnqIxjUu 1PDeMkzUmPTGJiXFX0y3jH/82nGm+OFT8vvM//t/aRPvdy/ht0R06pk04aPl FvHEPPHYsf2hovnN9rMvF9ku/vpnj73VKkw05fsR811Yn8z+38ibjfya6GuK /o7gcQTfPfDeB/8DRlPsi8PeSOwvRNxOwT8+B415VfFHPXgmEX7ZTvw3Iv5X cI7nOEcn8NwGj8fl7LORuePEGMa0ucE/m5YMFtuy97g0D10i5iS3ySk9d6so V2PQkwm1okTnYVEx+Z2PiPdVm6xa2nWP2LjCrEThuwYxNGCZn2e7I8Ihs/vc fYfOimX9H12ad/qoaMO3O/NRrP/E/m7Iq4r8+ejbj/5s8EwD33TGu+DXsCcF +w5gb1vsV3yQhX8W6OqQ4ucS8HhH+Ps6vFIfXmlCfvwjX5twzu04563gfQDe WedKlOpTZbuYzZhd2XTmp8CTYvzB6pcjFsWLZR6/+y4NThZtnR9da5hyXnTs 079yxrtbovuZa28G2lwTcXMXrcwsd1s0nTLkefWPN8QxvtV8J9Y7s38F8jyR /xp989Dvz5gFvsPg7Qx+O+z5g30dsdcB+/PGS3844580Xd1W9W8wdTKY+jgC vi4JX3eAd+zhnTnkj8pXFWdziYMx2KP898v7W7KZ9TXxm1Fz6Zp6Z98d8ele zwa/ytwWaTstCj+KfSA6r25RePWde8LQKKzy38uPxLvzA3uP6ZEpzvDdlfkM 1ueyvy3y8s2Q8tX4Dv3KvypOq4HXBvwLsMcF+3pgrwX2L8MfCfinrK7PUf3F ZPqQt/QfzamD9tTBuvD5XPhc8dJ3eOkl+dWV/FJxtpw4+Yy9yn8BKwYdDLzz 8D9j4qXde565ZYmGniOG3xqSJZrlm1PNZcP//b8JT4c06JglWvKt5pNYv5j9 gYzOyP+KvhW6uFf5r/ggz1yJ/wr2LMS+htjbGvvd8Ue1i9I/9rq+UPVv5vR5 VejvKtBfWNFf3KdOzqZOPoXvO8L3A+GtDfBWZ/LPjfxzJY5SiCMb/HESfzwa lTX/e2SmeMh4OmR1l1tNb4u/Cy+VO5CaIc7xnc38c0blT1vkpSNfxa2bji8U PsWzXcGfjT3zsS8Le8tj/yD80R3/HM817qNVf/yBPro//XNz+rbO9G2e9B9v 6T/yBMg62ow6uoJ6oOpDQ3jtELz2nPyMJz8/E2e2xNkv/GXAXxf9m0Scj0kR lxgvM55lPu8iub4V+78j74yOD47peLY1+JaDt5WuL/iMfTOwtzv298UfPvjn lO7eocYSxONQ1pXF/+2Rk8H5vEePOj+FQ9VZR3B24/yVH52Jj+PYqeKxEX7I JL6UH08xKj+q+DzD+IT1Kt8bIe8c8hXPqnql8Cg/DgFvC/Cr/MrBvifYq+4D 7vhD+XFPrvE9TcXlOvK9GHHbCD5Q94ZG8IUPcX8VPulGXryDbzaRN066Oqzq yTXyzgc+iycvjzNm4J8GKs6IUxW3Kv9Psf6UjidVXn9Dn6rr7cCzDnxvwKv6 1kvYo+xT9lZQeY0/BuGf1rp7reJJd+qPuud6Up/awrOdqV+L4WF/6tsf6oyq 14rHx1EfVZ3R12kHxnnYfxP76xNXKv8/kK8qjusxf4P1C9nviDxVt02o18t0 /ZDqWyuAV90HfLBnNvb1xN522B+CPwpRZ6rp3gFU3b5NP3SQuv6J/lH1PY3p p5zpC1rQb9Wmb4ilH1N9z1z6tZf0Hc8Z/+LPIOz7SNy4EjftyUfFB9nw3EG+ OzDfgfVqvzqvf8h/i743jKp/9AffIfAq/Kp/VPY1w95i2F+J/jED/wweb/xu ovpId/rz9vSZu+jfW9CHhtHfF+Wequ4zrvSxk7gfPKTPVf34fPCr+8xE4qIL caH66EjyrSs8puqVLfVB3WfUfATrVT+j+i19n6j0PwXPM0Yv8HbV3Rf/0oev x95W2J+KP8bgn0uHjd+Z1L0mmvtiOvee99yvXbkXxXPfvMK9Sd1HH3CvUvdV hc8FfPs4d2vO3VKXTx/gqc7wlOpH1P1a3Qub8D2IedVvvWW/klcR+Uqf0t8B PJ7gywDvQ8Zs7EnGvh3YWxP7W3C/zvNB+mfTAeN3OXXPHlpXvl+Ycw8P5X1j F/f057x/lOMeX4oxFf0n0d+Ec/3EuTYiX9R7j3pHmAkPnYXf1ftNFnVTvfeo fuQd3+qdYgbrz7Nfvfco+QJ96p3kN3gcwHcevOqdogj2FFR2YW8U9n/DHzb4 x7am8TumevcZz/tjPd6FvvHuto93o9OMZ5A/G/n3ObfJnFsi+WBPPvSAZ9T9 qj/8reqXejerRl1U72J96TfUu9lAvl8xX5v16t3MFXmDkF8Ffb3Q3w48seBz VnjBfxJ7/mHfDOxdwDiCd9iac6R/yscav/uqd8iCvPOa8U5ZnnEf75fN8K8J 75JJ6v2I/F8KHwTCI7XgkRTq1SL42YO6d4++QPVXReknKtOnqftAS/rfgXxX Z74065uy/xHyRiN/CfpS0a94X71j7QfvGfBXwp6NxN1f3mGHYv8f3renMJ7R vZPr38e36+ZNdX7/V8s4nnceMeaJenHG/LtC93vARl2/cE7Xh83U/Q5RfYXx vcFX97vGGd09d5vu/WDVBON3mZO6964Dh4zfEV3rGr/PGnS/96zt+z//rsDv SEf4XSmO35mO8rvTMX6HOs7vUvH8TpXA71YJ/I6VwO9aJ/id64T6VvNqvdqv 5Cn5Sp/Sr/Do8aXZFu/aMaSYps3cXbaLfy3NediITO35aG1S9+L2PyLWactv +jkcSz6tzX0X4O368YnmcXdodmjoL61wSNnaE6KKiRC/GV4mr81FlLfj1wvN rEQ43/WYX8n6M+y3R96nrlL+CXepr6Gf1L++lsSj9982Hzlv8HzV68rR8Zpv +YAZvvm3aOtntww+2u6WVsxx+dHlTr80p07B7U8uLS+KDUva/zmrsYi3Fdu6 z3IS8ydV6d7hQEfxaMoYk/rVughnvk8xn4f1/dhfVsmbI+VXQt+wyVJ/zbkS j/58TYZLe35byfURC+zqRoy+o03+llBh5dZC4vmiT48j2jQU33dtyj8hrKNI TDHMuNHOXYjyk1+cXjRejIqa/nl5paniVfSXkPL5pouOfHdn/gDrK++W+08i rzfyO6BvM3ir4F99/EV2k/43w75h7HdecHvZrydNxY7BHyL3NO8jDq7e8rtx 5iThNrLizBMB88TD7xudO75fJMb+cX/tNCdIeL/JG1PgRbCw5juN+ZqsP8L+ ZOSNQ/5w9Cn9I8Cjz4+rxMtNIc/jLvaeR176tpqDQqdMFcfX7XrUK3ChuGKI FoYly0Upvz2dk2xXimqTzo1/nj9EJN93CLnssFRM4bsI82dYf4r9n5F3Cvn5 F0t95YmHb+DR52/R9zK+KxE/1pxPKPZfRv7LnpGrSldbKUZe8tmyIDdQtK97 x7FU7a6GPDsGvD7yLdhwfl35gYOfrDLk2S6/7WvK+b2sP8D+h8hT52OJvoro TyDf9PySTj6+GCrj/SzxVILzysUfB9AXe/RC3ndvAgyzR5qXf1RoiyHna8/s APPthkJvvA61WbTdcIrvZsw3j5PrC16W+xORZ4P8ZPTVJd/Og0fPf2PgjwPk 50Di/ybx1Ynzm1JL+ucQ+oe7BASeqr/dkPBsRfvONhsMtmfWmFbaEmy4yXcG 84dZP72p3N8deS+R3wV9u9EvwKPn5y3wnT184ki+diAfihBvWTHyPC/iL8ts ief8xkYtXWutEWVm9N45b1uM+Bopv23A25D13sRDN08p799vKb8x+kagPx48 +voxB37+CP99gl/mkb8p5Ic98beU8511XvrvrrfE92x1zWO17h8Q4/kueU7O e7N+Ifs/Im8P8r+ir4aX1O8NHn19Gw/+MOzpin1h+PM0/lyKP23wz2D81QB/ xoLPjO8Y5i+z3oz9w5A3BfnV0bdP6df5U53/u2AZD4eIjxbEyy3ip56KJxsZ X9eIt0Tiz/WpxLMV/x0E3z/mVTxHdZH7TZF3D/lV0Hcd/ReDjeNT5dNq8us3 +b6F/DMjH2+Tny3J15Hkuzf69+CvG5zvXL6Dmf9Cvpdm/33k2SH/MPoqku/j dfmu+Gk0fNUC/vpIfdwOvx2F73bCf13hp3OtpX8KcJ4Dib+m5Msj8rsy6++x /xjyNiH/M/rmot9Zx5+K73/A/x+pR2WpD2epF/liZP04j/yr+OPrfHl+jYm3 dZkyPz7w/Yr5aNafZP9H6tFz5GdR/3pRj2x09UjVz3X0b/voj7ypt07U323I O4b9TTiv58RXD/LhAPnrzXc2831Yr/x3HHndkf/pq9Q3jPr+oYtxfVf9yKiB sj+JryD7lRcBsn+JAO9V7P3D+ZwmnmyJfyfytcxWyS8a3w7MH2K9iqeXyBuK /HT6JU/6pbihxv2S6u9Kr5D93stxsv9rAd6x+LcO52FL/JgR79fIz3HwSQXF f3yr+Uqs78n+E8TXb+Q3pZ9cQ//ZZqZx/6n65ToVZf/sFiLnSw+R9rTpIf0f QLwEE98zycdX8MdQ+G4z/OzF9zPmXVgfxP6uKVKeu+rfRkp9+eZJ/ZdsjPv5 /y33I+5zcYEPfldqtMlUc7wvR/X3suM90yokldFmpazqs71BMXUvPNp6bccR L7w6aVUjp1uHdHBS98dj47dd/vcvfJH2cE+dlWUazFP3zOMzpzzJCqlxUJu3 wNXq7JNodR+NLzg7uapPm3Rt7xFb97F7zqp7a3yPGAenhdEfNevyBb5sNGSq +21Cq2uL2jzLNhEVlrXzDPv9Tt2DE66V+dFmnSgtSk33OFiqRK66L59427pB +tV/5USpFYXDzZf9VPfqE2f4ux3r1d9TkPMvRMpXcrqgdz54lN4m4KwYJ/Er nC7YlRkg7VV2ncEPJrukf5QfPuC3JuHSn8pvq1ZJPx/PlP7/j5+ny3M5cEee lzqXwreNz0+Nat4xVcqZOEHuH2E/8vxdn67aldZyrBZWaYlDUrD2e/KlxWOO B2ptXoqYjoZE7dboReanKx7T+n3s1eDP9ddaUL12ZS9YP9biq5Y33fCruDhc IifN6mke4Tz4So6HY20xJ2fSke6ty4mJDTKnhhayFz2qxJ9v0rG22J197c+/ ZBfhUz16j+vMxmLU275FzfJ3Fv3Tm1yw/tJUDOF7DPPrWd+Z/SOQtxj5PdC3 Bf1XwHMKfMXBO9FD4h+FPV5TpH2fV0t7N7SS9u+0k2O9adI/ZpnGca/8b71R ntO1MHk+N/FXcfyXd27y3+J5T2svfOS4M6ve4ydWX7TQLZOa+jt+1MTybpHW xSqLCU5ri/RabCEeWLo2DL/jIO76Thte5l1TUaFGq8Fvl/YWyy5UyUn/5CpM mifPaBUzSnS5e6Nar7L9RB+vz739b0wWaxZc2RA4epiwjXxScceCacKyzVib 3KEjRBm+dzLfhvXd2F8EeTHIL4C+l+j/BJ6h4PMA7wjwn8CeJ9hnYKyJ/Z/x b+xq4netMU+o+D6xW+aBH/FvxTnFcE7j0XcIffXS6sc2d6gmLBmfPG+/Y2v1 9qLY+xs+AzzbiV/HCw6evWmESLjXfIjLmiHC72WJtQmx3qLurfZzihaaIvIU bGwyenaAeFmj1cuNNnNEst2f1TeiA8WcYpYpWwv6C5++boXf7goWvosuxGyf FSAW8j2L+TOsz2C/kmeN/PnoO47+fPEST03wZYG3AfibMBqwbyb2VsX+ofij dIz0T63dxryq+OMIvBoNvywg/q2Jf3fOcQjnWAU898Ez7W//Qg2fjxJejH7b TXrXPzxX/Mttvml16zniy1rLimbmQSKvW/knFQssESOs54Rc6bVSvB7VMaSo 7XKxoN/Lw5G7lgvHtqVqHO+/Urwafa6BjWWQOLS/Y8Re75WirIf8tmU+kvU5 7B+IvJyOUv439BX/LvX7g2ch+MIYn4HfAnsCsM8XexVfLcEfb/FPgYXGdUjx cwI8XgX+ngKvpMErWeTHW/JjK+f8jbgzBe9i8Obue3Rx84JgYbdfjrHbbgxZ lLlCdKmTcjbQZaXY2PLqkN3b54hWiR6ugbGLRe2M8mXt2/kZuniu3Jnny0Sx uMEX5yM3Qw31RJXEF/Wqivt8j50s50ewPpj9achzRH4G+uqh34LRG3zFwFs2 3jhvHmHfK+y9r+P5x7OkfxzijOu2qn9h1Mmq1Ec3+HoIfL1R8Rq8U4X8mUP+ FCHO3hIHQ7DnO/bcde5T/V2XSWJtezn69q8y5Fj6WsOjXabD/x0LNbyvWK53 wNpthvmxM2OuTN1ssMlMtiq7YbvhV2ynit6Hog2d+a7LfLVKcn0C+8sjz9xV yi+Bnp/odwbPJ/CVAK8v+OthjxX2bcHegdi/Bn8Mxj8TdX2O6i8C6HPc6D/q UAdnUgf7wud/m0k+Pw0vlYOXnpBfvcmvCOLEvJWMk0a7pb2v+kl7i8fsKbPu T4zBlHG8/Ycl5UKiDRU2THy1rnKMwbfr0a5X64YafPv1eVpmarTBn+/b4XK+ J+tzt8n92Yzd8WdH9JWxk/qLgacb+H6CtxL4k7CnBPWqP/aOxf4++GMA/pmu 6wtV/2ZNn2egv1P9xUb6i2jqZEvq5Az4PgO+t4a3kuGtz+RfFPnnQByVJY7+ 4Y+J+GPGREPxC6eGG4pNkGOtoT3zPE2LFheDfJr+GbBStOb75mQ5Hz9Jjq7s 74b/HxHXE9BX9K7U7wlfTAdfH/DmgH8S9lhj3y7s3Y79U/HHTfwzVNdHq/54 1XLZR7+jf/agb+tA31aI/qM6/YcXdXQVdXQv9SCb+tC/meS1q/BaoV0yPyeS n3OIs2XEmSf+qo+/Psx0e9kvdp9IZXzMWJR5A+tN2b8eeVWRnwkfRKM/sIvE U5t6tR68m8Hvgz1VsO9Pa2nvLOxfjD+y8U/EcuN7hxrXT5P+zddGrlP9cF/k rOZ8WqDHg/PbBQ57zvc9fkwkHidjxyjiowF2+hE/HfBDCPFYHD/1ZozEfxX4 7scYQVy6sL8e8rojvxv6TqL/HfFoix/bgTcE/P7Y44B9QdjbE/t34Y82+Md7 mvE9TcVlIve0j8StumesU/cG+KIvcf8QPlF5YTVa8s1U8uYWfHSavHKEr16Q d1/hM0fy8r2dHBt7Sf8o/14m7pKUvz3lfGn2zWSsBc+eR/536k8GvLIYPLN1 /VIS+LOxpxf2OWFvMPaH4I8CZaV/DunutYonZ6h6DY+q+9sYeDaM+vWTOlOb +pYPns6lb+sMj2vUx4PUmcrUz07UARfGpthfA96cQFyNJa5cyNepfHdgPi/r h7HfDHnDGVu6SH2D0G8HnsbgU/W6JPgrYc8P7FuJvZ7YvwN/tMU/36yM3wFU 3V7PO4Y7dT2Jfqk2dT+Ffqo0fcFZ+i1P+obf9Num62RfYUm/lkbfkcL4poO0 rwz2VSBOfxG39uTjfvLxATx3l++RzNckziqzP6OFlHcB+UrfM8aB4FH3AXP6 x0ngz8CeOtin7G2K/Vn4Yz7+8Txi/G6i+shq9OfP6DNH07/fpA/1or9/Sp9a kv4/D32sH/cDdW8IYCwN/nfgb0lcuBIXLuTbIvItHl7NgWfz9JL1oQ+81hee G8b6LexvhLyRuj4xH/oDwTNHd68xAb8V9rzEvt7Yewv7b+IPW+4p/XXvTOpe 836vvC+6c+95zDtOAPeiNdw3Pbk31eQ++o171XvGxeBT99nynLuPrl9X9+Gn 8NQ5eMoO/o+C/49RV/fxral7I+uLw8t5kWeC/KnoK4T+39y7AsH3BrwfGJ2w ZzP2tcfenznS/izu1628pH+u7zR+l1P37Och8v0iZLu8h8+bKt83+r+Q9/TB vH88Vu8ijIXRXw39JThXdX+MI19KkS/q3lCIfvcV/O4Mv6t3CDvq5iz6keZ8 T2O+g67emTc35u3a6EtCfxp4FL6R4K0O/hXYE8D4Hns9eafw5L0nknec9+uM 3zHVu8/xkqv/+z3tXIh8FyrbWL63lVor3400Rn/kT8G/ezi3MOLWg3zYSD5k wDPt4ZnV8Hd/+LsrdXE1dTGCfsODfqMofasX31uYD2V9e/aPRF4A8h3Qdxn9 hapJPNPBVx+8s8H/EH+15X0wjvfHFMblvMNuXSP9k5Rh/O6r3iHNrsl3Xs1X vlPWmS/HL03k/mHL5P6RXvJc3vN+tJj8Lw8f7IRHHOGR/fBzS/g5kro3mro3 nn4ik34rkD7tB/3uSPrf73yr+besn8X+fsjbivwp6DuF/kPwfh/w/QTvYPI1 aKu0J8BT2ueMv/bxnl11svRHYU85ttK9k+vfx/1uGs/v/Gns97FrjOPZar8x T/RfYMy/v3R1raTud4PDuj7sla6/TdXdGx5PM76P7Q4xvudesDJ+P0jS/Z5i tsj4vWvKLuN3RJutxu+zZneN372TMv4fvyukmVjUKN6/2bxlVYP6eB1o3naw r+nx2o9abD7SaYbmkt0yMzFyUsGs861qzM18IC7523U8FOuTYmppH2adc3rJ 5BD7QQvbjCuQ+tD+ef1Plg1vlmzt1evcB+tCVVurbzWv1qv9Sp6Sr/Qp/QqP Ht+FCLd1Lhs+OwQtbpjvzd/G2vKTdm8qxXhoZ6vYj+uQvl4b2qd6Z5MJZ7XC hUu4LHPL1g5+a+/7zyWPKG/d0TThYClRf++GHy8+VxB/z30t8NGxqqjFtznz h1hvwX5H5JkjPz5B6tu+VOpvv1Li0fuvzRI5vzLlr3Z57ARtwvQWjhXmRmuX /nncnrMkVavZ89uv5U/+aK2eFatde3AV4R+6Ojz5awtRrk6b1FBrV2E6omGp xH09RerFYmWCVvUR+fm2Yt6P9V3Z74i8vHnG/Lf8Vei7cFPqfxko8ejPN+qE tGcR66+IhN2L9t7VXHus87H0LCJicuakFivURPg19rEt7NtDrOm+uN76j2PE lehTjo1ezBQnU/f8bvDEX8yY3qXQ3nELRQLf15iPYH0g+zcirx7yD6EvGf2L 8a8+/rzx/xv814z9Ng3q5r32uKWI2dsgMmmpu5g4u+Awu5w54sD1FQ86/Vop oieEOq0/s0kETVn2YdeZ7cI5ysMmdm2sWML3TuaPsn4m++OQ1wb5NugrgX/d wKPPDw/ipRjnEY69h5BXY83TG11X+Ys15Ure9SgaKRZds/TZUvGAmBaXetUr 7YT4uyYtaOfDM+Lt+/7pZa+c+8/3DOYDWb+N/bWRtx/5W9HXDv0DwaPP39bE dzXiZwHnMwn7NyL/b/X1UcXrHRG19/rPLJp2TmyO+nR8sttNMaLw8Pe9FqWJ Bl9zfS3+potRfG9hvj7rC9SQ+3cgbzbyA9A3AP2lwaPnl8Pk41TiPZR4Osx5 LcYftdDnlPeOu51Fqig1wnf/gBH3xI95309H5H0oXEvYlSpx/6H4xbc58x1Z 35D9S5CXgPz16ItAfzR49PxnBX9YkJ+Xif8Y4ms657cJ/5RA/9txq9bun/VI 1H+/83nGr4ci5vtkqzYpD0RTvr8wr/Cq/SpediH/HPoaoL8YePT83Ay++zNc 8slx8nUp+fCDeBvCeX7CXzbgcS/T8nj0wgxh3c/Cfkyz22Ik37bM/2T9SPb/ QV4g8o+irzx8ZgEeff3If17y8yX4byr80p78zSE/rIm/dpzvFvxXDXy1GwdV a1vg1n/w7mS+K+sbsf8d8lyQPxl9j9H/mXqhr281wJ8Pe+Kxbxn25lkr7R+M P97hnzr4axD+q6nzZxPmf7N+OPt/4s/FyD+Cvgror6Dzpzr/ysSDGfFxg3jZ TfzM1MVnceLtEfFXEzwb8J+KVxW/ZVmv+METeZuRn4S+Jqq+6eJT5ZOq16oe qnoTr8v3Orp8V3g/4i8nzlf524z59qy3Yb/i3yPIX4G+NejfqMt3xU+V4CsB f/nCZ946/vwNf9ZDXxT+Gcp51ib+VHyo+bo6/tyOvBnI90HfePT/LmTMn4rv x8L/dakHqp4foF7YUD82I38B/lB8peJN5Yf69vp/1KNayDuM/A3o64v++rp6 pOrnW+ppOvXdmXrbhPobjTwPVZ85LxVfC8kHxQ8BfG9jXp2vqm97kNca+TXR Z0Z9t9XV9//0p/RLR1Q/R//Smf17sXcu5xOu65dOkK9z4JdTfF9nPpr1C9kf hTw75D9EXxr6T+v6JdXfVQyS/V4h+r8LrE/Ev9acRz3ix4d4Nyc/Vb95Xdd/ qvlZrNfYXwt5v5E/QvWT6I/S9Z+qXz4UJvvnJ8y74986VaX/o1T8km9Hyceq 8EcT+M6UeuHGd13mz7G+G/unI28V56v6XzP8dVzXz/9vuR/55t6ss+Fm4eZ+ 7ea89jhw5pRfPzmqv6/3yGrtUq6adm995QYep6poF7sW3fCvYucWk9aOrb9z XndtfrMR3V3addAqOjp0/DnPo2Xs+X8Du2Qs0v7u6zY8sdJcbXW/K7NS5w9s 1dgs1nbZ00Pay7vzasdd36a5He7+rEzZOnYxD/KalfS/o1kf8Lp27PV5rYbr pbeOJ1Ps8u3taHZpzhetQPvNW31mZmmNPqU+LenW197i6J0u4WOLiF0/F3p4 nv2oTd66eXSl8vH2385cfV30t4Xwyvv3zrVvv7RfI/OX3uD1037tqezm065U Fjm+h9et0vKISZVfj1r4snzrUP4+hvXq7z+RE458Jacyek3Ao/SagLMG+BXO NOwKw15lVy/8kL1X+kf5we6C9FsJW+lP5bcKa6SfIyOl/5Wf242T57J5rDwv dS5JXsbnp0Y1b8M5/uNcLY+XLj4zuofWl7Fu8IQMy5QQLa6X7cq945dqXYpv /2a/NUlrmnniyWv7eO3GlBWf83x8q1V7njX79KYnWrL/0Bbhg0uJss3m5tc6 5Bc/r7Xp2bxsA1ExMntle+uKou3x6w1z/ZyEXYe8C2/tbyBiiwbXnZW/m/C3 Lng/p2hLYZXZvNvY5b2Fk2F98oXt9sKC71nMb2Z9S/YL5FVHvtJXCf3XwdMK fBfBOxv8jbBncm9p3zzsNT0m7XdjLIh/f0YYx73yv1kTeU6VyQML5DVDXi97 1+Dync5okxlvTcsY3rLfV21T1fvHtvf7pFWe7v/u+4RqolRqr13TLluJfu93 ui5c1E60K/jvzov6dqJx/4524664C/chAaP95/QQObaDm82K9hLeywe+upYw XDRYVrXDk1q+oqn2O/xvxnjh+zxtlFPkAhEpTKpMvuwp5vFty3wj1qv9X5A3 CvlN0dcD/UPBYwa+2uBdAf407HHFPifGTdi/FX90JX7TGxnzhIrvMfDEd3ij L+fUiXMKRN9t9HWaeu1o5Zwawplx5vp6L3+mdBF9y2Yuun++o2g5zWtr+mFP 4d3sn/XTtmNE2rd/z8aMXyxqrLy3a0w9X9Gm4c7IsGLrRdm4Pau6/A0RZ4r0 arx01VYxv/+fyHNN1wirLf/sd1/eKdxfPJlgarJelON7HvNnWV+O/QJ59ZB/ B32z0O8MnsHgCwBvF/B3Y8zCvmDsbYb9q/HHYPjhy15jXlX88RWecYVfzIn/ OOI/P+dYk3McBB5f8Eze75U7e62XmMJY++PFhNxFK4V/kpshptQy8UFLrtKz 3HZRLsH61ZfRW8SbP9ENbO/Gid7Pfs1a0H6/qOrv6pq2LUksKZLa3OK//n68 9Ri3553PCe1E496+fY//53sR89VY35/975FXAflf0BeM/sbgmQk+NS4A/1Ds aYh95bD3GvY74o/R+OeWrg4pfh4Cjx+Bv/80lbyieM6e/BhEfkzjnB04Z1/w 1gfvL780d//7O8UfxuduhfL/Kpoo4ucfeR1T5oTwXzPdom9asogzL29o3ueC eLh97LMHR2+JK8umFbLqdk0suTV845eYdHGpTDevlS9v/Of7GvOPWH+U/QuR dwr5b9GX31/qL8DYAHyh4HUDvx/2DME+F+y9jf1N4NnL+OfffuO6rerfPxdZ Jz/tkfXRVMfXfeAdW3hH5Y/KVwviIIc4OI49yn818radP6jjtf+Mw39GjltU +Y64e8c0/8bodJGcEtGg6O5McaZk2Jhg03ui+Z2jG1IPPRSFq/ep12vcfdGC 7wvM32D9Q/aPQZ4N8tX4Af2J4FFxWhG8j8DfEnscsW8o9ua9Lu3vhD+q0D88 cDHuc1R/sZ4+pBr9hy11UKMOTtTxuQW85AAvddPl1xHiJIA4Uf5S/tve70jR +xcfiB2MJ5wSrarsfyQ6PrTLrXn0kahvOvrXjvoPxbj889tk7HkkGvLdnfkk 1u9m/15G5c9M9C1Bv8LzDnyKD5zBb4k9P7DPC3sdsd9D9QX4x1fXF6r+zYM+ T/V3U3T9RQ3qZBPqpD98b4Dv/eCtKvDWBfLvPvl3iji6SBy54Y94/PFyyf1e jZZmiueM8ZPL3O5ocUeMWnvy2+7G98QJvt8w/47RwH7l36vIP4e+LPRfBU9l 8C0Gr6pXAdhjh30NsHc79kfgjypnpX8cdH206o9f0Uer/rkxfVsZ+ral9B+q HxlKHVV1VVAPjlEPkuC1AHgtD/nZkPz0IM7qEGfD8dcx/DXsU+NDppVTxQjd qPw7lvWN2D8ReS2Rb4o+xauXwXNUV78qgn8Y9vhjXyj2qj52JP44jn/SdPcO NfbGv2Gs88L/pZGj4tEPPer8KoBDnW88OC9z/guwI4H4aICdLsSPNX54Rnwd wU9xjMN1/ovXxaWtLt/tkK/icTH6k8ETB76F4C0Pfj/sCcA+G+wth/1R+CMJ /7TR3dNUXKp72nfyujF8oPJ6EnzRnLi3gk/Okxe9dP2L4qMH5NUd+OosebcJ PjtIXh5mzMI/yr9DibvafL9g/iTrExl3Iu8a8hU/qj5A9QWVwNcDvEngN8ee Ztg3GXtVXo/DH9XJa1/dvVbxZB7utRXgUXV/c4Jn+1K/fsLDjalvbeFp1Rd+ gMcTqI+L4Xlr6ucw6sBQxs3Yfw772xFXKm6Hka/qW82fZ30M+0cibxRjA/Sp fkjVa9W3WoJX1ck62PMZ+wZhbzvs74I/NPxzx8X4HUDV7bL0jyWo61b0S7n0 Pc3ppwR9gQ/9VgZ9w0L6sU/0FX/pG1/Td7xkrIt9qn9UcZpJ3CSSj4pX88Fz /nyfYF7Vr9vsV31BPeS/QZ8aC9I/fgXfCvAq/POxpzX2OWCvsr8N/qiBf97u N343UX3kc/rz8/SZtejfU+hDC9Pfj6BPHUj/70QfO5X7gepzVT+eF/zqPnNS 9cnEhT7fFK+qenVWVx8u6eruYV0/Y0C+8pcJ+huCx5bRG7ydwD8EewZjnwn2 Kvt74Y/X+Ken7p1J3WuK7Zf3xZbce9y4T2ZxL4rivlmPe5O6lwZyr1L3K4XP EXxLOffbnLvKJ4186gNPnYanFuj4vw111YLvAOYVr6l7pbpfl0f+XfQFoV+d 93TwqfvsEvUugD0NsE/dry9gfyT+mIh/Lune5f7zTtFYvl84cg9vz/tGE+7p 7Xj/yOYe/5ixPfqrot+Nc+3FuU4hXxrr7kGf4KFS8Lt6v/Glbs7X9VeqT1Dv FLasV/u/IU/xXEv0TUV/f/D0A19d8PYE/z3sSWfsjr2tsT9Svffgn7hGxu+Y 6t1n5yb5nlaTd6HrR+V72xPejV4xKvn1kb+Xc/vOuVUmH26QD+qe+hueUfct Vb+m6epiI/qN8vQbEfRxlfhuxvxu1k9nvwvyRiK/BPc5N/TfB496N7sK3jDw 98QeT+xbjr27GBfx/uiHfwJ1777qHdJvknznDR8r3ymDGIey3539LTiXhpyL NfFej3ivAI8chkfKwM+/uberPsCKuqfecX/Qb82nT1tNn+ZI/6vuB/OY/8t6 R/arPqM88r+hzwz9ivcbgK8reCeBvxj25MO+ethbFvtb8H77Br8kzTZ+J9e/ j2/2MJ7fHGHs98gmxvFc+IAxT3TLMObf4brfAyx1vxsc0fVhi3X9beH5xveG KN197KTunltX9ztJoO73lKoZxu9dPrrfZwxNjN9nx280fvd2HP8//67A70hH +F0pjt+ZjvK70zF+hzrO71Lx/E6VwO9WCfyOlcDvWif4neuE+lbzar3ar+Qp +Uqf0q/w6PE9CU88HLTJUmvbL+3T3KvtNL+Lr5O7FZin9e0w91Mzt13aSffr qSF3UrTLTSv0Hpmao13NLVMydn5BcbD+8K22VSzElbsx0yLGVxXdxxWrGXOg ujDwvYv5BNYHsT8aefuQP/K81Gc6UOpPCpN49P7b1VfOj3r9xH98X3/Nvfyo n1GljmhheSOXzjvxRGsS983jd2ghEVx95K2c7jXFozDbZ6XL2YmBcdcrnCrf QdQtbjLj9tjuYuHnE+lTRvcULnx3Zf4G67eyfzDyBiG/QAWpr9Urqb/EIIlH f77LLkh7IsH3fEv+ioOtX2qXE5d49X1dRqz4+dJxbUpzkR1yfP7mad1F4P5+ jQJzhovYW6ciCl6cJBq1j53uETdNvC5uFdYq2Fs05Xsx82tYf5f9vshLQX4i +lqAd+Q5iUcff8fx/3jsu87+thFv8p0u2UYk2kwwvWY6UDR/d/1CgeVTxD6n f/cnefiKHqY+t0bPWCRuLql57k7VpWKO+9Kvf5sHic98uzKfwXpn9q9DXh/k H0PfVvSfAo8+P24SL3k4jznYuxx5No1s2q/7N03cqTbt9RSXhSK6w7qSVoVD xKUhXSruMw0RaVFNbpw3XyKqromzPea2UFTfJL9nMn+P9dnsN0XeYeT3R19v 9PcFjz5/VX7MJX5ecj7tsP8m8s+XymjfKzdE1F7X+mKrkgvFtNVmE0pMGWEI v/DtefcBwYbQF55Fdj0ONSScl9+7Vsn5P6zPX1ruf4g8F+Rnou8k+veCR88v B8nHO8R7CPF0ifN6iz/GK3x5bzx6s2CB4VCX5mmbjkUZ6pY6uaVR5FbD9fg9 SV6/thrumcnvgK5y/nA+uX4n+28hLxP5Sl8a+o+DR89/yfCHC/kZSPx3I75y OT/bMOmfQPA1uf3O8uGRrYZGEbtTL9utN9Rt2H/3vUnBBosN8jsv85md5fqQ ZXL/HOQNQP5a9A1F/1nw6Pk5Db5zgk/syVeVH2WJvzEX5XkOx39v1ks8Zjb3 6veLWykW9LC6tX9ItPCuL7/DwVuO9dWJj68bpbxDyHdBXy/0XwaPvn50hJ+9 4b/T8Is3+dstTObHj5cy/komyPPdayP95w6+k9dbjTZN2it68P0W/1ZhfSP2 5yffgpGfjr7x6HcGj76+JYO/FfbUxb5j2PsF+w/jz0H4Jzdc+ssH/y0E3xm+ g5m3YP1w9jfhfFYgvw/6GqP/j86f6vyPEA+9iY/JxMt44uca8ZRnhYwvb+LT kfiL4nx/1pP+2wu+k+lyfjjrz4XK/XbuUl5X5O9EXw/0/9TFp8qnOPLrIvkW Qf59Ih//kp9jyNe25G8o+hvjr3DyfRffOcx3zS/Xj2D/PuQZkL8IfdfQf0iX 74qfPsNXQfBXKnzWCn57ofgZ/juDvmErpX8CyI+/8Kc157sd/sxivR/8m4W8 psh/hb6F6P+t40/F99PhfztdPVpLvShB/TAg/zf+uEc8vCN+TckPP75vMv+Q 9XfZXxJ5Qcifib4e6F+rq0eqfm5zlfXUjfqq+oNe1N8tyGuA/Xc4r9HE133y IZb8XcX3ZDXPenU+q5E3Gfkv0Dcd/eGuxvVd9SM/6JdO0y9Vipb9yyX2h2Bv MuezgnhaQPw3Jl+vwy8t+Fbz21j/iP1TkXcW+c/ol9zol4bq+iXV363sL/u9 KfR/UeANxr7u6jyIH9VP9iU/u8En0+G/tnx3Zv6wyk/2d0PeXuQ3Bt+Vl1L/ rsHG/afql6tGyf55Ff38Sfr5yfRX8cSL6g8Ok48n4Y+T8F1t+PkR3zeZf8H6 p+z3Rt4Z5JfEf7ZDpP5iK437+f8t9yPuc3FhJrVvjEu11Nrkk6P6e+CZ9n7h WypreT46JBRzLqDuhUctxy71LrlurHZpoKdVyK4R6v54zHely6HL69ZpScUr bap+Y7m6Zx4PCpza4WqJM9qSg9Yr5sYcVvfR+FLT6ge/mPdU+1o4tUXcilvq 3hpfYFXleZWW/tH6RIR3b/3hpbrfJnyNuDT8+iwz0WrojF3jY76re3DCeLv1 fYbEVRAJbxpmfB2eT3BfTvhrmRBX+Vk18eNSxvSl303UvfpEWSv59zmsV39f iZwGyFdynqG3F3iU3jrgnA1+hdMVu1pir7LLHT+MLiH9o/zQLFT67Ud/6U/l t1Ue0s9+P6T/lZ/vXpXnkpNXnpc6lzDd+alRzQ9LlXLMzsv9zp2t/1lGjNdO d5LjqB47xryO26TZns0z+8CPCK1cw/Qihbff1Comx/2dYXlZm3asyL3Olt81 Q+Vi7Xpc/6D927rrWevkcuL078Vna70sKnzNB7XclWYrXPd2bhV0vJo4X619 obZbnMTeFm9u2123FeYuK3Z5uXQWCyybTvX0aCW2/3QrU/JSD2FSKKDfmdWt xQ6+5zBfivUH2Z+EPGfke6LvNfrfgOca+A6B9/1lif90A2lPwXPSvvCe0l5X N2l/Hsb+16R/sn4bx73yf8lB8pzakgcu+CsA/5Vf8bVYrU23tFaMfeatyZeb nlcUca9xpq7JP23SwcH/gi5bi0emT8Yk+VUTBVP8c7cUcRbTTRYWDDvVWqQm F23W3XaA8Nu9p++8vN3F/h+zW1ZIGiP+bni6cbfJYLG91txRH4K9RMkrWxt6 dBgpxn2b/i3Q3FsEtaxibTF8tPDm+1+ynN/H+l9qP/ICkf8YfbPRbwqeVPB1 Aa8G/snY82m5tO8l4yH8uQb/tiJ+i/Q35gkV37vgia3wRi7nlJ+4K42+YehL LnL4a/dXdcUnRrM+xd/kPdZZDM1yLRu4oKO493bbrgLrRwuzwj6tchcPF9PK DVkZXXGmsA16/rp6tJcI++n8tdjiAHHt9+8RfoN8REqrqqUiDiwRn6sU7HvX yV8cLjSwzZ+iQeLJIIu3j5YEiCS+3zJ/hPVP2L8ceQ7I90GfBfrTwTMCfGXB mw7+DMaZ2FcIe28Tp1XIu1Pwg00JY179D48ekjzjCb94Ef+exP89zrEb59gV PFXAc6/BvOLmX8eIx4z5duTt3HvnPDExek7b1OE+oufLNJeStwJFj8EH/fzd F4t6Vk/3FrBaJkZfsK69MC1YWFg3/RPyYKnY+P5g15vVlok8Q4rFl6m4SJhZ 3cnu+yNEVOP7AvNOrB/FfgfkuSE/DH0e6K8Jnofgy2C0Ar8P9vTCvivYuwj7 m1SR/hiKf54eMK5Dip+vwuOF4e+D8MpXeGUG+fHvpswPS845k3MeCV5T8LqP KDT63aulwo7xyFbv82u6B4u6x33y/u0cIv7Mrtv5RdGpQus24ZJ23l8c/Bnu WczR33A6rGE79/uDxM88i9r1+7rSYNrwaNzcWn0NkXxPXiXnA3/I9b+6yv1X 5kh505Afgz5X9PdirAy+ueC9BH5r7DEn/0di73vs/4Y/puGfObq6repfG+pk EepjB/h6Cnw9F965De+0I38mkT99iYMFxEF77BmPPefnTJg4b95gUW+WHB+O yPpWxWGNYfsFZ/N5T1caTE6OC6/eP9rQa5qPSa9TGw23g3aVjS62zfBw+n7/ 76c3G1bzXWS6nL94Qq63uSj3Vxgp5a1B/rDZcjyM/vHgGQ0+hXc2+AX2PMO+ 5dg7A/t744+G+MdH1+eo/mIgfchn+o8t1MGT1MFc+Hw3fK54yQdeWkJ+2ZFf Bl2cROKvcOx91adMm44Ltxr+MO6P6OKy9cBmQ/WtvUdlpUUbgjqEWNSJWGlY Xnt4+r/IzYbhfDsxf5H1j9lfpq8c8440Pp9x6DcQ96bgGwrecPA/xZ6t2Fck Qtp7FfuP4I/3qj/T9YWqfwunz5tIfzeF/sKG/uIvdXIHdfIrfL8Xvj8Ab/2u JXlr6UqZf/XJVyviqDBx9z1a+iMRfxwZMTT2WFdPQzBjo1aJLkdWbxJhz7MG /U4LFKP5ns180mg57mG/Of5NIU6DiOtn6C+6VuKpCq9uBu9W8H9T9Q378tM3 NMb+UPyxCf8s1fXRqj/Ooo+2on/+UVD2bVvp25bSf7jTf3yljm6mjv6ylPVg ymBZD27bSF5zyit57RX5eZr8DCDOzhNn9i+kv+bgr4xKQ7euuL1LXGTMZczP /GjW32d/V+RlI/8K+l7DqwcbSzz5qVcFqV+rFH7sUf1WFPbGYL8lfWwV/JP/ svG9Q41h+Lcw63zx/zbkqPPphx51fmvB4c/53sKP0Svk+Y/Bj+eJj0TstCZ+ duCHOyNlfPXGT9MZk/GfM99OjNHEpfJjWeR9Qf5a9KXhx82hEs8P8B0Bbzj4 X2PPKOwzw17V/3vij2L4J99b43uaisuS5Psi4nYffGBKXH/U9csZ8Mk+8mIM fONC3rSAjxaSV8nw1Vfy7i28dom8/MY4AP8cwD9HyGsHvocwf5j1qxjLwo/P kW9O/flHXX8HX7+Bd1S/dRb857EnGvuKw489sH8n/uiLfyJ091rFk+2pP7nw qEZ9UnXGm/p1FB7WqG+Kp8dQ/9rA40HUx8bwvOtcWT8HUgcqM5bD/nTsr0pc HSGuVpKvBr5bMp/I+iq6+vKBPuAd9ToE/RPA0xt87VWfqevfj2HfQuyNw/6h +KNqpPSPk+4dQNXtbPqhr6Gyrq+hXwqg7o+ln3pDX2BFvzWDvmEm/dgU+goH +jU/+o69jJkzpH2bse8CcfqGuMlHPdpNPibDc43gB226cf14yf4OyLOi7/FG XzhjPfCMA9948PqBvwj2XFJ9D/b6Yf9J/JGGf5oXMX43UX1kLd5NxtNnvuc+ k0Mfqu6lBehT1f3qCn3sTe4H1elzrRjbgH8J+HsSF22Ji87kfwX4YCJ99it4 zKmJrA8m1Ic18Jw56/OxfyLyXJEfou4z6P+z3RhXJngfgH8i9pTGvpvY+wz7 C3GfUX24q+6dSd1ripjJ+2IF7j0buV9Hcy/qxH3TjXvTXe6jFtyrSjE+At9F 8A3n3Odw7h3Ip63kUz94KgmeioL/98P/X+kDYvjeqOtXXNm/BXmtkb8UfV7o V/frt+D70VviNQW3ul93xz437E3E/vP4oy7+2VfS+F1O3bPn8s7Zknv4cd57 XnFP/837xzju8eMZH6PfHf19ONef3B/LkS8PyBc7eEj181fh9yPwew51czp1 8zv9yHBdn7CN9Y9UfdDxdgr6yqI/P3E2DHxDwPsT/HOwZy7jX+x9iP37eO95 i38a694x1btP1mveH8fId6FdvLct593Ii7Eh72Z/kF+Dc4vg3O6SD5/JhxHw zER4Rr2bXYa/39IHWFEX/9Dvr6PfWEMft4XvQvQj5VhflLqaiLww5C9An3o3 +w2eW+ALAW8Z8Kt4KYB9T7G3TC85Tu0o/RE2WvrHtqBm9O6r3iFHFZLvvDt5 n89KkqMt77jB+FcjTo/wvlae96RVxHsqvNocHsmEn+txL21P3XtFX3CAfmIN /UQ4fZq6D9Sn/1V9bRDzq1iv3nE/IM8R+a+pB4noHwGe4vDcGPBag/8qcRZA 3C3GX6b4b9Zt6Q+/O3Lsncf4nVz/Pu5Y0Hje75nxe/vJQcbxvKK4MU+s1fFv qO73gFG6fkHo+rBZut8hnup+r9iju48N091zd+jeD77r3mUq6X53MdO9Ix7t Z/w+62epGb17r/9r/T/+ruBZwuPPjevdmj3JDsi5kxjT/L5TgM/H8LQWmSv6 LOhTLbPl0P51mhZ+f7JVhMP+vgMWzrQb8rfF58QrJe2vxkQcXHstwP5oO7+7 H4an2dfs3mhN3yIFWufGv/o8vol5a/Wt5tV6tV/JU/KVPqVf4dHj22M951RA nzJa61TrS9oeV21/h6Xjq7X01ToGnmh/c/keLSwkdV2djFQteFXF/dW3f9aK TTpSKfZWUdGi4N5uz09VFKW+tfxQoJi1CK9Qbmrb0XVFYb5bMV+c9WvY74u8 mCVS/on2Ut/INKm/Ri2JR++/VcxfPn2/zgvHAM3MKzxodXKcNmNpqOWtAc+0 67ETtsQ6FhUZpdpU1OLqiuqXNlS5NslJrBpz/5hhbA+xofKr4Dc1B4rHgZnt u2cPEWv5XsN8Dda/YP9T5MUiPx/6MtD/CX/pz9cb/72fIteHpEwf4fPhlfa6 2u9Bkz9aiOcnvu0z+LQRYft/frvyu7/Idcs7/mHqZFFya/e6qR19xcjHmW8S iy0WQy3LdS77KVAM47sU879ZH8X+m8i7j3wv9HUGrz3+1cffNfy/AftS2T9w 4awGNda3FVW/xuX2KDtaTG7y5O22f37Cvduo1esqhYmKU2qnnDaNFk7euZ/P OsWK/q+e7mjUcI9w5LsK86NY783+hsgbjfwM9B1A/3vw6PPDj3g5x3lcwt4G yPN96H48O3mRSHlWae7i0pvFjLCI0u98DopTBzwWbqt3SizbcCXMZuxZsSip 78bpbc+LEL5PMz+X9XfY74+8usi/g7736Fd49Pm7nvi+Qfyo852E/beQvyGt w/PpoXHiXtzNfYXdzovq2z6XKN7qpthYc05S1QZpouKdW9vbhKSLKL5rMZ/F +i3sz0Ce8m+4iif0Kzx6filMPlYk3j8RT8M5r9n44y76qhoGNc1/+5bo2atl /ajoDPF0vXf2xBIPRM8JJ2r0efpAPOe7L/O1Wf+I/cq/45D/A33N0J8HPHr+ aw9/rCQ/VX5UJr6SOL8a+Kcb+rssn+wjFj4UWZOWFCsx8qGo/HjnAIdZ/4WT 797M92e9NftVvFRFfhH0bUa/I3j0/Kz4bzl8MpR8VfkQSLyt4Twz8dcz8Azr 32rPq+wMccsiPl9mqTtiJN8KbzbrVTwEIU/ln9J3EP0FwKOvH9vg5zvw3wD4 ZSD5G0h+lCH+3Djf8vjvKvhGPwy++NgrVaTyXZ353qyvxH6Vb4OQ3wN9nxX/ gkdf30qAP0znT2fsVfm7Fn/cxT8P8Ncg/Hdd588XzL9gfQT7lyBPndcQnT+L 6/ypzr8D8bBKF581iZ+zxFNN4qsr8eZI/N0HjyX+e8x3Z+b7sL6GLj4V/+ZD 3zb0t9TFp8qnguSXqm8fyb+x5OMs8vM++VqF/FV47+Gvjpxvmsp/hU+X7zOR p/hE6WuM/t8TjfNd8dNG+ErV31Xw2TQdf4bDf5noU/5Zx3maE39hfKv5Bzr+ vIu8qchfhr4f6F+u40/F94vg/wzqgaoPNtSLQOpHKvIVn57h/BYTb4vJD/V9 8v9Tj1S9S0WfyS6pf7KuHqn62Yv+bR31VfUfw6i/tZE3AftHcl4ViC9NV9/t dfVdrVf9gbLfXVffY9D/QFffVT8ynn7pGf3SevqXbPZnY686nz//n35plK5f yttJrlf1UZ3Xc+RvRZ89/VLDDsb9kurvouk/39L/mbM+CPseEg8pxE9l4j2U /FwDnzyE/8L5DmO+EuufsT8deRHIf4p/TqN/ha7/VP2yZW3ZP9++JecnYY89 8bCfeNlEfFvAD53hj9Lw3W74uRrfvZmvyPpj7N+IvNbIH4M+/3Spf5+un//f cj8ac+twr51j8zSfbjHm+KqQfNqysnJUfx/Uc8Woo4WaaK6Vk79bDGmgjXn/ 5XD+dW1bBO/pG5LfdayW6ePmY5c2XBu7p8jGt4lDWm55YXBpcipca+aSYdpl 9UqtQ/2dz64t6tHq3BCPGf4fzmrHWhkuzHsfp7WIPnDzz50qdu1i3pVbMOC5 9vPi7wUnmqZr3ntvmcydftHOdtvSB0Hv8opVAbGxT/e9026GtSnlPKeL/ZDy ad3OmZgLt8VLHQvN/6vdaZYQ7Bx+wN4qutveDQOqi8LWd6uO61dIjAzvZuIx 96N92dxVUb3q1xFPioyJqvDIVLh/LpWn8JVSrcvw99+15Hr190rIaYV8JWcM epeBR+ltDs7v4Fc4R2BXAPYqu97jh/XO0j/KDyn47eEc6U/lN1P8fKOS9L/y 8z3O5SDnps7lvIXx+f1nZP455xjP/kI3p53t3mS8No1x953UiOIDtmhHK+bv 8H1llFZ6jNvay99TtL9BOWd7d72ixU76Otm61y+tQnLr3X/fftSafyg0t2Tv SmLeyaHTbK+ZiTVdp5o82NpCXM1y7V8j1VpccV1gc/NER+Fd5rZr7tsW4tSb jQ2H/ewjRhfa+s6ui5O4+HXwj4CoweLP0anV7txqJ87yPYz5eNZPZ7+Sdw35 69C3EP2twGMDvijwtguW+PNjz1fs24W9f29I+9vgh2T8s7iicdwr/68m7jXO Zz/y9iMvNrb2ddvcVO0oo91C5xEPzE1EerVVuzLH5BXrj2bN/BdhIzwPeG/8 sqaWmO918HByWmfh5Fh7gV/1dqJAw9f7Xpn8V51dt7FR2Ln+IqyT08v7l2aI gc+sSq7+MkZErA2K87seIHr/shr+JcZLODTwdA8oHijMDLddTxafLlrz3ZP5 jaxX+9cibzXyTdDXCf1B4BkDvs3gvQR+R+yJwb51jInYP6yS9Ecd/OM9x5gn VHzvIQ/2E/8NOaeynNMJ9Nmjb65VcPXDnW3FdMZRTba9GTqnj3hc8cel60k9 xYPRfTzK/pf9s/d8bV4n11M8TzzRNMcpWDS7nHlsUVqA+PisSGa/WxGi1MMH F972CRV+V2cWWJsTIxIiz7rcPbFeOGdXyTk2ZLcYY7aoULfkCNGW7+PM+7K+ NPu/Ia8V8l+hbz76H4PnJfgmg9cH/Gpsj32XsTcf9nfHH5YvpX/OOBvzquKP IHjmHfxiQfwHEv/9dOf4FDzjwdP5jEm7GRdmiO6MtqaDh2SsWS3WxC7I82Vo qHhdaIcYtWKnCI7xjfmwbatoXexv4bfimOjgE5q5Ls9B4XXmivs+x9MiYlT2 OjvHY2LxbMf5vpfPiaW7Jk7anxAvlvCt5qey3o39TsgLRf5H9EWgvw14+oGv P+MU8Cv/7sS+idi7B/sF/viEf4J0dUjx8y94vCf8PQVeqQ+v2JEfC8mPmZxz Jue8CrzNwRtyY8rOARN3i1DGBe7Otw71M4jPofcebZh0UhRI/NpImFwRzne2 +I48eUEUe9+k77J5t0TEzqYxHoOvCY+msw6csEsXq3IuRpvfuCFG863mS7Le lf1FkPcL+UHoC0P/WsZW4NsI3mfgX4o9Kv+dsdcJ+8Pwx1T881hXt1X9m0ud rE19PANfr4avfXW8Y0f+qHwNIQ7eEgefsGch9kyI/tW/Zr9rYhJj0qkejRzX 3xYli2wccqVFuojMnr+/+cX7oukns14J3TPEnZwB17smPBDD4osO3b3+nrjL d3PmN7G+LPsvIM8b+dMZl6P/B3jeg2+VilvwC+wpgX0rsTcK+1/hDxf8M0fX 56j+wok+ZBz9xwTq4CXqYA/4PBw+V7ykeK49+aWRX22Jk0LESQnsTcTeYv1X DnyQnimKMlbb5Xu14KOHYlBVEz/7qw/FOqdikYVOPxCb19ZZv/HBQ7GB72HM 12S9GftLMyp/lkKfKfo7gMcBfIoPfoO/DPZEYt8A7E3B/mX4wwf/tNL1hap/ y0NfaEF/N4j+QvUjnaiTUdTJk/D9XPh+Hbw1Bd5aQ/4VJf9siKO1xNFg/FEF fySvm/wtZmKmuMSYGJZ0e1PqHeFUfue2sbPuiTN8X2H+OqPy53DkRSFfxW0J 9EeCZzL4IsEbAP5E7InGvu7Yewb7Z+GPhvgnp5ZxH63643T6aAv656/0bUn0 bfnpP1Q/oupoO+poEPVgIfUgCF5zh9f6kZ83yM9I4mw1cabhr5P46/bYIzHP RqeJO4wZjEnMt2d9JPu3IS8D+cPRp3g2FDyLwBcIXhfwj1N9AfYVxl7Vx5of k/5ojH8u6+4davyOf9X9ZAj+P4McN85HoOcU56dwbNDV2XWc/3DsUPF4DTt7 Ez+h+OEc8ZWAn5Q/0/Gfge/TjFdZH6nL9wwdjyo/rgfPIl3dV/hVfik/9sDe S9iv4rEp/vmuu6epuGxMvpcnbqfAByeIa8WPm4l7c/hkAXnRUde/uMBHxcmr 4vDVavLOBD6zIC/LMZ7GP8q/DsSditvLzFdnvRqLI28j8hU/Kv2qL5gEPlfw +un6UGVfX+xVeb0afzTBP/V191rFk17UH1Vn1P3qKjw7X9UveFijvuXC08uo fwIe/0J9LAzPT6Z+qjpjYFT+XIP9Kk5V3K4lX6/y3Yt5tb4I+88g75yubhdE v6rXbcC3HLxfwK/6D3UvCsLe69j/Gn/4qzqsewdQdTubfqgNdT2AfimMut+K fqo4fYEf/dYb+oa19GOq71lOv7aYvkONU7DPRFfHi+nq0TDysT88p3i2LvNF dHGu+tFpyF+KPtVHrgPPB11//hr8C7CnKPY5Ym849q/FH87455Hu3UT1kavp z0fRZ9ahf9foQ4fR3y+jT31G/59FH9uT+4Hqc9W4CvzqPpNLXKi4bU++qTq6 Tsdjql6p+rWaeU/Wt2O/kvcT+Z/Qtwb99uBR95q+4M0G/yvsCca+4djbEvvd 1P0O/3TSvTOpe40J73APuPdU5j65n3vRTe6bMdyb5nEfnca9yotR3bsegS9c d+4qn76STx11PBUO/6v7taqrTnyr/mo+6xXPqfv1CuSrPNmAfnXefcDnCd7p jL7YE4t9V7FX2d8Tf/zEPwbdu5y6Z6fz3pPOO8U53nusuKfv5f1D3eOdGGeh fwP673OuszlXb/KlgO4epN57Sqr+F35X7xCqLxhLP6K+45lX7z1m7F+HPCW/ EPrU/XUBeNS7wHbwzge/eu9pw3gIe4tjfyXeezLxT3Uf43dM9e5jwftjbd6F CvDetod3owOM8Tr56t0snnNT72bqvU+9mymeXQZ/34C/1b3BQF3sqes3StLH Xee7t64/HsT+W8gLRf4W9LVFfyfweIBvN3hvgL8G9pzXvZddYZyIP0biHzfd u696h1xhKd95l/JOWZPxOPvXsz+ZOD3AudQg3p8S7zXgkR7wyFz42QZ+vkLd G0XdU++w6r3dgz7Nkj4tD/2v+lbzVVk/m/3qPV3Jb4A+P/Sr9/P64HsEXhvw J2HPCex7vVvae4p3XKte0h/qHTfK3PidXP8+/kT3jt67grHfP+viuZGLMU88 0fFvtUvGde2wrl8YrevDLK2N+9vfuntDdd3vGmN199yjuveD2peM32Xu6t67 iut+n0nW/Y5Tqarxu/fv/8fvCvyOdITfleL4nekovzsd43eo4/wuFc/vVAn8 bpXA71gJ/K51gt+5TqhvNa/Wq/1KnpKv9Cn9Co8eX/sfVpd6fK2lPRz40na6 g7u2bO6g3PHzV2q33rS7dVQ7oeUtkLDNbFCWllF3lG2bq7+0Q96bfj5sW0qk 9Fg1xLFWVWHZZ5ODY4fa4kb3geN/OtYT+fl+yfwJ1lvVk/vzIS8P8ovPk/oc +kv9BfOU/288ev8tHCLnr14csu7+n9Vas4HXb1jMPK95HEnusLvAR+3Zz4rv rkWXFlZJm2Zs+G4j1nwp/H3LGkdRbmT40b4mXUSxE2Mj2+brLfyCLn4o1LKv KM13S+ZjWF+K/dnIi0X+2gFS389LUn9CP4lHf74FsWcP65tHrmzS8tpXLWz4 4qL9F1UWLXLrdns52kFEBA9Mu1ylt9hTqPE7Z59R4sns1W/O2U0R6TeXDVv4 fLpYbfK6m822GeIS3x+Yj2H9cfYXRt5y5NdD31v0X+M89fH35LX0fyT29WB/ R7ep8UGL24rHn6o96BbpLp4XXPf1/R0vUbjigY7vT/iKEdOFyd9TC8Vtp/sv LaOXCBPTkVm5EwNFnrbyeyLzfyvI9Y/Z3+ezlKfkr0LfavSPJx70+XHARMZL 4V/yPF5+k/Z2Rd7iZg7nVtTyFhvfbL/5N3GBSJ7X1rpS5FIxK6Tj3mMugaJg lPmAe3kWiB2185750NZP1N8ov4suk/MNfOX6buzfhrzKyLfGvybozwWPPn9n kh91iZ8FnE+6sh/5k2o9r1I9Z6lYeNUnva2Zn9hXq0/lBU3HG/KdduiV6xtk uJFnaVzkk5WGZ3z/qSrnF1yR6yPYr+Q9QP4+9Nmivxj5pueXPeTjFuI9iniq xfkG479R6OtsNtvRO3aBwXrssrdHMyIMOTu3bVqwdIth9rp6+1be/68xVn6f HSPnL5eQ69OT5f4c5BVH/k70xaJf8YOe/17AH9bk5zfifybx5cD5/sV/luB7 MLD/5aHRWwwt380+V3zaWsOL4Q7b2r4OMgx8L78bDpLzb1ifZS33b0VeO+R/ RJ+G/vw9JR49P3/tLfnuX4Lkk1Ty9T35sYP4e895fsB/vcDzOW9w++WVgkRu 2YHZMb+ihFc++f0Z/OPw7yn2byN+h5Fvj9FXHD4rAP/q60eeHpKfV8J/a+GX 8uRvszoyP0oTfzacr8MI6b8f5hLfqnsfo0y+xYo6FvL7+lA5P4D1ZdkfQL6Z I38I+qLQbw4efX2rCn4T7LmPfd/xp8rfqknSH03wzy/8OQ3/xYHXgu8nzCv/ D8Gfb5HXB3/eQ19F9OfT+VOd/2fiswvx8Yl4WUz8hKp4qivj6wrxdpv4jON8 q+DfEeCzIj6/s351dbl/EfL8kP8Ufe3R/6SHcXyqfNpBfu0g35aRf5/h517k 5xjy/XRJmb8z0D8A/+7lfN34fkm+dyPfL7D/DPIsyfej6NuL/ou6fFf8pPqL LvBXLHx2H34bCt+NhP+6oe9iNemfsmfkec7KK+OvH9/+8MMc1l9mfz/kZSF/ Nfrs0f+grjF/Kr5/Af//oj/4Rj1qS71Q9WM08jPxhzn1Jpt4y0d+WMEPVzjf dNZPYn808rogvwr1qDL16I+uHqn6aU49vUZ9VfW2M/V3GPJuYX8O8eBGfFmT D0eKyPytz/cU5t+xPpP9Hsirjvxw9AWg31JX31U/MpF+qTz9Shf6F0/2F8Xe GM5nH/H0nfh/SL7Ogl8e8a3yUcW72l8deVuR3wt9sei/Os+4X1L9XUv60xuX Zf8XxfpD2PeTeChI/IQR77XJz6/UhyBd/9mZ+SjWq/qdg7zJyF+Kvjf0n0F9 jftP1S/f/iv7+XN95Lzqr4vh/y/ESz76g2TyMRf+qAzfVYafi/D9lXnFJ8/J D1P6+RTkq/NsPEDqP5LPuJ//33I/4j4Xtzx5kNXImFLavCtyVH8fWT4u9v1m Z+1mFQfndcMc1b3waJ7EGocazJ+rPdi9+477eG91fzxWq/Fwp7K1YrU1bk+W jcu7Wd0zj4/tHnstp0WK9rjZw7iP/86o+2j8y5zZRbuF5GhVe6+f3bJJlrq3 xm+6eiXQ066QcHv1Y/Ngxy/qfpsQX6PaGM8FlqJT955fH1TOL7gHJ4SOmzAl J7uGKOVf/NOqS0XVfTkh51+/rxairqgROvCWqWdJda8+kc3fq7Fe/T0QOd2Q r+TcR68Aj9K7E5w9wK9wZmDXT+xVdh3GDwc6Sv8oPyyylX4rv1f6U/mtnUH6 uUpF6X/l5ygLeS6RaZwX5/Im3fj8/jMyf666lDODcw1K8eg9I81XW3hLjrOP xZ9M8TqorTCsDDTZvk+LqHPySdXtj7QJW21mn7a7q7UrcvF7y/P5xbf6L5NH pv/UMks4HLsYWk3k92jjNXekuZjaJ9Jk2/MWolnctBZ7utYVJucTe72Nai92 5L4p0ftOC5HRfkTo1Bk9xP+h7k/Dcu6i/n9cSIZUKPM8lMxc0ejcMg8ZQ5ll loiMGSukkjmRzLOUeUiG0zwkSkiKoigzmWX6Xf97v/Z1HH2O7338H9+P9vFp 773We6291nutvc8HnW077PT2ym3EieAp60+t6CfKzg5sOqpYW3GI78vMZ7J+ G/srIa8+8gPQVwz9GeAxaiTxVQJvPPg/YE/KOWnfjxPS3pt3pf029+R4Af8e qFww7pX/p0fLc9p4Vp7PH+RNw3+Ddgb/jb7wVNed0bb4r377TxiLHMu7Lfyd SgjdiC4Xhps3E5tWzouq6WgtLhQ7EHt4ZhdhW2XxR5umbYXNzqQ3nbYPER5N L+qvrHYVgVt9z1ac7CmaGThuMXMbLs4mt6tS9L6POFbWcdjizNEio1KRl3m2 M0TK35rZliXGiVy+dzJ/i/UN2B+MvEnIr4m+1ui/A54V4OsEXj347bBnKvZ5 MJbDflfix5v4vRhdkCdUfEeRB0nE/2XOKY5z2oK+uuj7+OlI+0rVW4jbjBMX 675vOd5brPM9UdXhZk8RZqMv9KflOHFgQs8OfQ1HiUmVjh69U2GWeO/hcjw4 20eUf1Pv3MvOAWK0Uc7AyoXnCvfP980tQwLFwzYxtW809xdNZiwd2b5PkJja bm5OeZcA0ZTvFOYns74z+5siLw/589B3DP0h4IkC3yLw5oD/MWMT7EvH3njs P44/EvBPGQ2vKv6oAs+cgV9qEP/liP8BnGNvznEHeKaBZ/FIwztmEZ5iM+PZ 2FMvL5X5//0foueFLYvMFSEXSk6wH7tEfOh/6MzqOYtFg6PFN2c/DhYNL2bW DgkIFqmVygSWS1osatd49MTrebDISfx4Y0cJf6Gzsx96cMa/fSzf9Zg/y3pb 9jdEXhU3Kd8DfZHoPwSeSPBFMAaCfzv2tMW+COxtg/1W+GMX/knQ1CHFz2mu ksd/wd9m8Mo1eKUq+fGY/IjmnOdwzkHgPQneLivqj8tuGSRmMWY5Pdm3edwS 0XvWqo+VwoNE+X2u4/1ujBGetw5Xmxk9R1hez22y4oS/fuiQHmtaVm8pIl3c RyRZrNTvrDD7+r1rI/U3+T4wWc4H3ZDrV92W+wOR56vkt5b6PNE/lPGc5nzX gv8g9jzAvvbY+xT7K+GPwnnSP46auq3qnyV1ch/1UdWDyfC1O7yjeO4F+TOf /EknzkYSB22xpyr2nJtz0fjSCFuRMFOOA9wMuztfXqN3HOnewr34Sn2hAx/j M6dt1af26qMfZxip35RVwvrBy236+7V3Go+136zX8x3E/N8Yuf7bCLm/GfI2 zJPy2/vIMZ/z6wqeqeAzJG4Xg1/Z0wD7vLA3FPud8cdR/NNf0+eo/qIrfYjq PzZTB42og5bw+V743B1eqgkvVSO/7MivXcTZ/j0yTvrgr0rYG6SruynaZ5ve lbHshK2j0ptv1tuUMVzrnbNVv964y0S7Vyv0Has2W51pvlkvSvPNfGHWz2d/ D8bByM/Bv7P3Sv1dwdMGfJXAWxX8M7BnAfa1xN562B+NP7Lwz1xNX6j6N2v6 vJn0dxfoL57SX+ylTl6mTt6C72fC95XgrV/w1uaRMv/akn/ziaMnxJEd/sjz lP7Y4rzG4Pi2qfr+7eRY8UqC21LXDeLJ1zSzPrMCxIjL8vsE6+YyWuHPUcir TVxvQl9r9JuMkXhMKkt8X6pLvF7gf4A9d7BP9QWvsP8h/vDHPx00fbTqj53o o1/QP5egbztO33ae/uMr/cdI6mhb6mgX6sEH6kFbeG0jvBZCft4kP6cRZ2WI u8X4ayr+MmswPFnfbo9ox1iV8QPzM1lvq/Yjbxfy36FvG/ozwRMFvvng1YF/ Gvb8wb5Y7I3G/ur4o2wh9//xj5Pm3qHG9vg3Bz+exv+XkLON83mHnuecXz1w qDqrB+fZ8fL8VX0YQny8xc66xM99/HCyrYyvq/gpjNEd/23g+7LyI/G4n/2K D3Ygfxj6stEfNF3i6Qq+CuBVcfAMe1Sfquy9iP2p+MMQP9bT3NNUXLqR7ypu t8AH74nrevDFTeJ+GnzSnbzIuyD55iN5LeCj+eTVQPjxJ3k9Ez5rS16aM5bA P93hw5rfZNyl469j+HsS60czdkZeffI6C378Qx+QBp6f4CsLP3qDX9mTjH1N sDcN+8/jj0P4p4vmXqt4shj15zU8qupTBXh2GPVrOTz8jvpWB57+Sb12hMcF 9bEePP9njKyfqq6219SbN/i3N3G1m7gaRb4e57sT88pf7dm/A3mzGXtQr5eh vxd4OoPvG3irg1/ZsxT7xmBvdey3xR9p+Ge05h1A1e3S9EOXqevW9Eve1P16 9FPN6Av20W+Np2+YQT/mTl+ho19rQN+TSv+hnyHtc8E+QZz2IG6TyMdq3WU+ Vqsjec6U77PMe7BeT9y50D/a01+1Rm83xsHgmQ0+X/D6gv8w9jTGvhbYuwL7 a6p+Gv8Ya95NVB+5h/5cvQ9VpH/PoQ+dTX+fRZ+6kf5/DX3sTu4Hx+hz1TgE /F7gDyEuPIiLM+TbO/Jt6CjJY9PhsXXUh3F8jxkm5w2pu+Hs74i8bsj3Rt8w 9N8BTwKjuncFgX8P9qRi3xrsVe8bdvjDmD78ouadSd1rZnC/fsC9J537ZG3u RdHcN3tyb3rNfdSPe1Uwo7pvRYAvRHPuBvS/ig8qwFO+8NRv+pFa8P8w6mpL vg2pD6rfsmC/6mNLIt8HfcvQvxk8y8G3HryrGVOwpwv2PcVedS9Mxh9X8M8z zbucumdvPCDfL4ZwDw/gvaedtbynh/P+0Zh7vAWj8qcL+rdyrlc5173kS3Xy 5SU85A8PDYTfT8Hvj6ib6dTNCfQjL/lO1PR5HuwPQd4H5NdFn9L/DDxh4FN4 M8Gv3l9qMy7C3mzeKY7gj5b4x/tAwXdM9e5Tlfe0VbwLDeG9bR/vcIcYg5Ff DP8e4tyqcW5LyIcn5ENLeGYBPDMV/rZQ/E1dVP3uOfqNC/Qb8fRxl/nezvxH 1luxvy7yhiN/Dvoaa+7JC8HnDN4n4Ff2+GneyyoyrsQfBuelf65WLvjuq94h nR7Id96eFeQ7ZSjvlZXuy/0N2f+DcxnBueRq4r0yPJIBz/4YLfl5DfzclLp3 j7oXQT8xnX4ilj4tlz7WmP73L98XmV/K+h3sf4y8Fsg/hr5q1IcP6v0FfCHg DQH/ZOy5hH3OxNNG3nHH4I+XFnJsllLwnVz7Pt4mueB8UY3frTTv8rc0PHFL w78emro2VtMvzNP0YTM0/e1gzb3BSXMfG6G559pq3g8sNO8yfzXvXaGad8Ts mILvs1erFnz39kn9f/+ucKVK8Yjjph1szhdfl1kxYWPLBo7WEa0632xldKdM Yq+tybZ506Ny0qyO2l0valdjf11v+76TP9+IKW3oMGlR3qDVObMcWvyNnlbq T7xDZPg+z9PpPx2qNf2nSu2yxo7qW82r9Wq/kqfkK31Kv8KjxVcnfH9uzabW ujH1KiYU7TBc52LYMCb02ird+9MHyltYnNPpSr433R+fpdvZ43Ij2z+FREoJ 96Lt/f6N5NiQ9y1bWYqncXOvbVrfTEReudWtzOcW4hHfDZlPZf0h9tsjzwP5 /6AvCP0t1ko8Wv/tYH7urzWBc3eu1bU49TvBc9Q13fKT0/b5dv2ke7rPfFDD X+XFk1m9WsXc+EfUXV/+zqBKXcSUz/FfW35zEzPm3O48N8hDNH/RpqH505HC h+/JzDdg/TP2v0LeIeQXQ184+heDR3u+bthTnvXDLf07Vl/zXVfBa8DxlwZ1 xKqWM2Lzy3cQV2oMC8/8OVwMSis/55XbNHHmU3BM37AAce+W76HgCSHCokvG 3Wr7lonbfJ9lfgTrE9i/EHklkD8UfQ3Q3ww82vhbhv8jsc+I/Qu++Nqb1usm wu6dm9f1xgTxwajcrq8XFom0nZ1zd7RdJ16cSurbosZO4bL1fPviEfvFrDPf Zn8JPyC68/2a+aes/8b+w8gLQb4x+o6i/zx4tPnRlnhJ5jzmYG8U8owa+OlD WoaI0Khen1uZbhfOn586DTtzRJyo83r1rT7nxLSrTX3bPbwkzL6fapm57Yrw 4fss8x1Zv5L9pZG3B/lL0fcD/e3Ao83fPcR3KvFzlfNR/luK/Jdjo38Wv3tC bC5ytFf7vVfE9H5mU9rXTBIDzS+1/fDgrvCoUrhjfM37YhDfM5nfwfoP7F+F vB/Iv46+9+g/Dh4tvzwkH6sS727EUybnpfwXib6Rpx+uvrM2WayqPd505OdU oXMqWbm7zSORGXzdq7PhYyH4Dmd+Euu3sL8T8p4jfyj6WqM/CTxa/msOf4wn P08T/yq+4tT54p/l6N/1Mj30yd7HYs+r23d73H8sHGv/mNe81mMRzXcU82Gs n8F+JU/Jj0VfIPoVHi0/K/6bCJ8kkq9dyIcpxJsr52mLv3aBZ+slu3fOzdPE 2z2Oew0SHogdfCu8TqwfzH4lrzfyk9Dnh/7Hio819WMn/NwA/isFv8wlf8uS HwOIvxTO1xb/vQHfyZyK384cuCc+8d2O+SzWj2C/CfKUfEP0OaFf4dHWN60/ k7Gvl8af/fBHc/yzBX9F4L93Gn9GMd+W9QPYPwl5PZEfr/HnU40/1fnbEg/e xIfi5w/EzzniaSrxFUK8RRB/m8DTAv/t5HsH86s08XkceS+RfxR9i9DfSBOf Kp/SyC8r8k3Vm2fkoyA/FR+NIn8V3n/wl4qHpnyvZN6T9dvZr/gjA/nu6LNH /21Nvit+OgFfZWr48zP8FgLf5Wr4U/mnL+fpTvz14Vvxg+KjPA1/fkH+BaUP /VEa/lR83wn+z6UeLNTUI3PqxzLkt8UfZzg/b+LNmPxQ36pedfpf6tEB5Aeg zyhK6rfR1CNVPxOop3uor+bU2yXU313Ie4P96ryeEV+Kv2aQv9009f0x69+z fz/yFiK/FPpOoX+ppr6rfmQ2/Ulh+pXJ9C+l2R+KvZc4n2H/f/qlFL5Pa/ql G+wPRp4F8meizwn9QzX9kurvbtHvzaP/s2L9Tux7STykED91iHcv8tMLPmmm 6T+nM1+P9dnsf448dX5F0ReJfldN/6n65Q30z5HM22BPEv53I14OEN+PyUd7 +OMFfBcNP7/muzXzT1h/nv2uyHuE/JHo+4L+YE0//3/lfvQ2+0CJJ3FfbHJL X6xcxLmczspEjurv9S88KHK1XmfdhscHngYmtNPF9E+86LLZrlXpoBZJy+7P 0205cav5u6IzdCkRLp8bHnG1vd/F61uhW/t1nSJuf3gWv003f+Eq/TybTnb5 n+IN9TPv6moe65C2cMUVXbuTWYtuWFjY39r04vanlE+6xsMaxnT4J1t3pl6V K3tN9fZdOxw2KLm9tCj7+aZ1luMPXfXcUxePL2rnkNcnzrD64ppi6xSbEQtT iovcc0Hnxc9dDqNKzJx/9X1D8dHp0fbbS8uKWUYrjUrUz3Xo6TLRvWS1FuJV ueMf3jW2EBWaeuU0WGnk6MLfP7Be/X0IcjYjX8n5ht4y4FF6O4FTB36F8yF2 FcNeZZflZ+mHhPXSP8oP5/CbLf5Ufvu8RPp5Jv5XfjbhXBZxXupcepoWPD81 qnmHDClHx/7lR6/Xn9PUT7ef0ayF4+allY7qVof/c+FJ0iHdhCIn4u/ueqpz KRm/YUiJdN3nmPoZR+ONRPuqtrdCH//Vlf39onxfOyvRM3z5gqDxVYTZjM87 mx1qIz58ndP99+zm4ueXbL+RRn1EnYEblgcntRELE1592Jw4RPTtU66kp76z KNI8wPpg5ZHi07I7XsVquIjCfLswP4/1Ndmfjzwlvxz6eqO/HHh6g+8peAPB 74k9gdj3tbm0dyP2xzJWwz/XHxWMe+X/LpyTEXkwH3nl8N/8uUNMVh7J1oUw TjrzcV1MrzKiRrvX9UycTURSo2a6+l9bCuMDn6tbP2omds3qZN7wn74izME3 JTSgmwiq+OJS5KIJYvC18O6rz/9bD9Ynlk32nivGFC832KCit8ivMdza5HKg GBx1rve+ITNE1c9Lu404GCq2VxE9Otv6isp8D2BerR/H/pHI80B+MPq2oX8f eIzA9wC8JcE/AXuWYF8AYyns344/quKf4RqeUPH9iTy4RPyP45y8OKcvbaW+ ieir0HbK9YBsO1Ga0W+eRc7p8UPE6WUez4JfDBA2tkaOl3S+In/XdZvApKmi e6OfnzJrrhQxK2pOnpMQKA4btbn2Y/EWEWm10OG6bZgYO+nF3PJN94o7g+a9 P+GwUbzetveR1+UYMe7pHxE1f8t/34nMj2e92n8KeceR3xN9P9HvCJ7L4FsN 3krgV6OKDzP8Own7Q/HHO/xTVMOrij/KwTNV4JdGxP894v93jDzHZM7xPHiC wVMifGbVc9PmitKMDwr/Grg8Kly0LL+o/gnnMLHzk3HtOU+jRMempieS4neJ Bk+/P1q4IFYUy9h8qHWbI6J+0LJwi8sXxMsnItvKL1Z06vVgeWrjKyI2LcJn 06e4/75fMK/Wl2R/M+T1RP5+9DmhPws8lcBXkTEM/NewJ0OTV9+w3wd/1Mc/ FTV1SPFzQ3j8JvztCK+YwCtLyI8o8uMr59ySc7YBbxp4i00qZjsyKUaUZMwI GjL/u/15MS2iQqGKG84K7wFOqfdq3hR7pt236WF8TZgN3jytZ7tkEbrs7o3F A26JMUf7TWh6954Y8Try6sh9iWIs32relPXR7J+KvDnIf4o+M/SrMRN8yr8C /Aa7pT0x2BeJvZWxfwL+eIl/7DR1W9U/I+qkM/UxF742ha/7wTtL4J2jmvzp TBzsIg6Uv5T/yjQbPOhI31uiLGPVLo5X7KqkiMdWQe1XJN0TJxK+N2qdnyYO L3m8J2hPqti+ym5iRPq/9+fpuT5FHj0UO/g+xvxp1mexvzbyqiC/EmMW+n3B sxd8Km77gj8Oe1Zh31DsrYz9Rb5JfwzFPyU1fY7qLzbSh3yl/6hCHfxGHRwM n4+GzzfAS0fgJUPyqxH5peJsMnHyCHurYO8Xn/VHM3+l/zd2bJRfxq12hjjh 2mZN7I/HomRucxE78LEotKVuvxW1Mv77jmO+G+vz2f+TUfnzKfqmoT8KPApf cfCeBf9m7PHEvlHY+xf7W+IPQ1fpnwhNX6j6tzf0eQPo7zrQX/jRX/SmTv6g Tqp6MBq+z4a3rOCtQPKvNPm3nzg6Rhwdxx/KfxX1j6Zf6vJIWDB2FAYB2ZNT RaPyXUo0jE4Tnfmuwnw1xq7sV/49iXwVt1q+ULyqeNYT/Pexp3BNaZ/qC4Kx fwL+WIB/3mj6aNUf59JH96B/zqFvM6BvC6f/UP3IeOroK+poHPWgA/VgILw2 HF5bS35GkJ/5m2WcFSPOGuCvdvjL4m2r6F9+90UFxoqMnZhvwXoT9hchblX+ b0Wf4tnh4FH4ToH3HfgnYk8d7NuAvaqPNVku/TEC/7zW3DvU+Bb/dmedikfl xz6avi6Z83sDjheaOhvE+XtgRxTxEY6dB4mfwvihLPHVFj85M5bHfx341sal MftPI28n8k+gT9WnYPC019T99+C/hz3Vsc8de4th/0T84YF/8jT3NBWX6h44 iLitCh8sJq6Hwhe/yest8IkXeWEE31iTN4ofjcmrh/DVQfLuHXzmSF62ZjTF P39zpH+siTtD/FVe5T3rOzN+R57Ka8WPKq/3gqce+BSfjwP/Ruz5g30e2Kvu Wa2UP/DPOs29VvGkqtfqnvuGeq141o365QUPx1Lf4uBpVa8bw+OqXqs6o+p0 JVVXGd9i/yHsjyau1hNXn8l/9a3m1frP7K+OvBqauq30q3qt+tau4D0O/mPY MwL7BmGvur8WpV6XoM78/lTwHUDVbQf6IRfquou6l1L3Q+inVtIXqHtKL/oG 1W/voK8wol97Qt+h+h8L7JuEfenEjapHKv8VH6yD54bxvZf5kqxXfYDqRytq +h01lgWP6nscwavw/8aeUOxbib3m2D8Vf0zAP3U07yaqjyxDf67eUTrRv1ek DzWgvz9An3qJ/t+OPrYM94NH9LmPGUuBX/l3BnGh+g/Vj1iSb4pXVT0YQH1Q vLaYebV+N/tVHsxGfjT6VP/9FDzqXlMBvDrwq/uM6sMNsdcc+wPxx3f88+1o wXcmda8x5r5Yg3vPXM07jgn3zYfcm6pyH13DvWqVuq+CzwF8Dpy76te7kE/H yCcjDU89g//VfVrdC9X3c+bVetUHnkSeC/JVnKm4U3gswKdwRzAqe9S90BR7 P2L/Vvxhi39ua97l1D07g/eLq9zDZ/C+MUvd03n/mM493ouxPPrVvTuWc93O uX4hX7T3IA94aB38/hV+v0XdVH2BeqeowXcS8z9ZH8F+9d6j5C9Fn9Kv3nvU u0A6eKuDfzL2eDOuxd5p2L8Ff6Thn2DNO6Z690niHbMs70KRvLcZ825UUr0/ Il+9A1Xg3L5wbiXJBzPyYS08o94f1X3rD/w9mroYSF0crOk31LtZCb4HMr+U 9erdzeCrlDcM+VXQtw79tcFTUvP+UBn887FnA/aVxd7KjHfxx3D8U1Tz7qve IX/x7tuNd8rajAfYb8D+NZxLMuei8r8q8e4CjyTAI6petYOf39MHfKIvUO+w bvQTvejT1H3gC/eB3nz3Z3406y3Z/x156h1XvaP3Rf8D8PRQvA/e2eCPx54A 7HvOO/ky5T/8UZdxvOadXPs+7qyZX6/x+zJNPNtEFOSJTpp3fhdNXbPW/G5w SdOHlWhdsL81NC94bzBqXfA+dlZzz62neT/oo3mXcdG8dzXSvCPe0bzPVs4o +O498n/5XWHUBj87A7MOx4LtH3TwS9h4PKR0zPL1nW+eCL/f5NCarcknG0zx OVCj/tHYZjOe5lWu533qm3/tET9KG8Z56mdffp0zK25F+NNhXn/i49ZfTJ9S 49HPuPGBcc8DyxqfVt9qXq1X+5U8JV/pU/oVHi2+nymzT8/o56S7fru67yBr H525mZW5+bxtupFvBwetf31Dt7zOqMt7ol7rokaUO1hlgaHQTbFLcStUSdS7 8rZ5f3dLYRUd9zNgSFMx/J7n1q9Lmot6fJswb8P6w+w/gbzOyLdEX7NEqb9O ssSj9d/eW3I+4uHb2k2W7dKtXO//zGDpPd2yxuOK/Kj1S/fpVMyzif/myYWZ e1r0nPuPWHXXZ8nxnPZiaLhtdOb83mJYyalPey52E8uKpo2++nyAaMa3PfMr WR/N/jfIm4r8UPSVQv868GrPtyT23GR9xYAAy+g7BiJ206P3987VE6cGJEcV utZWvHt4tMjdg24i1KXpw90nxgj9p87efh2miO+O7dJyT04XpaZ+iBjpNlO8 5vsI8wdYn8b+q8gLQn4n9PVD/x7waONvDf63wb7r7K/unz19rOgkmk5wLOc3 xkOMCn21PS/RR3QsU6/jyi3zRekh5u3zHi0U74I7jXWpECjcui5MmrMzUOzm uwLz/Vnvw/5ayKuD/D3oC0b/JvBo86NDXRkvazmPy9hrirxl9QsnH3ozXew6 6de8Yql/cRV3SbLos0QU/f7AuYTBYvG2od/hY3YLRP71JwabXvv+e0+V32+/ yfn+rP/C/ijkOSL/Bvry0P+R+NXm7xPiezPxUzFNnk8I9r9HfkBs5LKUpkvE xvD+zv7rfMUDu1KfV+701rfa5rF7kn+w/urGb9/2pKzQT+XbRsj55uvl+m7s T0aeH/IziIe96L8DHi2/jCEfpxHvi4in3pyXdQnpjxkRUl/O6XFRZ/0W6gcP iijUY1iEvu2njEmVVm3R76m7wNHabKu+6Uf5vYT5Gmfkeg/wLsO//ZC/Dn2b 0G8LHi3/FYE/mpKfm4n/3MEyvlpwvpvw3+eBUv/4ngM+NLmwRV92jL73ptQw feCL0DW1HEP0K0bL7wrMH2C9p4PcXx95zYnfaPR5ov/zZYlHy88O8F17+KS4 k8zXHeTDZuLPeqs8z+L4bx749na+V9en6CLRpILP+JAPEeJbF/m9Bbzn8O9V 9s8jfqOR/wZ+UPzWBjza+tEXfh4H/331kfwykvx9d1XmR6VNMv4q1ZPn2w// pZSX+Iq/KnHjxdTdohF4DV/K+a3Ew47Ncv+6a1LeZOTbwWch6PcEj7a+1QK/ JfaUx5/nsNeribR/6Hbpj774xwB/5naU/jsL3m34sxn+fM56C/xZD38eR/4T /Nka/TqNP9X519DE5x3iJZX4zIBfKrWW8eVAfpwj/tzHSjwvX0n/HQf/HObj ic/69nJ/GPKKEZ+70eeC/vJXCsanyqeZ5NcC8i2R/FN8Xp58v7pO5us78vcW +kfiL8H5PsmT32uw5zj88Bo+e0i+65A/DX3r0V9Lk++Kn3Lhq3HwV3H4cyr8 dh6+6w3/DQDvMvhxP+f5YoOMv25b5HeITs53Yr0D+98ibw7yH8GfF9F/ScOf iu+NqUfZ1AM99UHVtyXUj7+K7/HHCM6vCPH7i3r0tLH8jmDegfN4wv7NyLNC /iH0PUf/aU09UvVzKPW0NfU1inrbgvprjLzl2D+I87pK/E4jH5aQv9/5/sq8 G+sns7808tyRH4m+B+jvqqnvqh9pRn9iFCH7ldr0L6o/UP7N4XzWEk8xxL/K 12bwS2H4Yg/zJ1j/mv03kReHfCv0JdAvpZoW7JdUf3ebfq9yquz/7rN+Aval cR5biJ8txPs/5Gcj+GQF/NeK7w7Mx7B+PfufIi8S+SfQ14X+c7+m/1T98tck 2T/3uSPnt2PPTvz/hHgJJ74bk4+qX3eF7wbBzy58F2e+D+sT2f8Wec7IL8J5 2oLvfFLBfv7/yv2oacZZ0yanvxy78bp0d6eoqjrvPDmqv6f/XXdor8kQXf6e jOBnS911T06nWu3abHdixIsBRR2sl+uWGo76EmMeqFvZJzba54jrSYPd5a5W eBGre38j7WHskYM6vzPzy9yx6RQb/eCM2aWSGbqBvg6pR3OSdLE5jR0syluc 6mE6elkxl3zdhaYj+k4f/Uq327yfS0Uz/alfY80eX7crI8bkHV2ys+RfXfsl Lx/8XNQu7vUpf+9unWqJay9v2BhXNRadr5+OWf5zV1y414tr9rUaisOVP37Y /bacOJNyqdHg+rlxQRPmLg1420wcDpkx1nNweVHz7GL/BSuNTi/g75dZr/4+ DDkfka/kZKB3OniU3kxwfgW/wumKXb2wV9mVgh8qx0v/KD883yX9VgR/Kr8V wc/9oqT/lZ9dDdb/z7ksfyrPS53LneyC56dGNe/LOQZxrlMqPzULWrBSZ8no /+Pj7b4zL+iG5rcvnH7lnO7gxQZd45q/1l3eajSqVMPnujdrOpi1b2witnxa cW16IUORXXzq8pQJ9UUtw5A+Rteqi/6zk3xCt7QWS2LOuqwq31xse5oVtiOh m/jpcHBv2cDWwqCL87OLF/uKPId99o5d24syfwN7GNsNEMtS6pcstLijMOY7 hfmirH/K/qXIC0X+BPT9LCr1vwDPCvClgjcB/Huwxx77lmFvbiVp/yvGufi3 TVTBuFf+X11UntMXzqc/8oKR97xJRCmnOe90ZZrKsYir+YPlUy1EyMEuLjOM ygmrlalRVSe0FIVGB/x4Xr25GFr8/pRNRXoKv59l70ec6ShcrJ+0nf1kuGg/ LDg+qLSbyClSoapjjJdYE77Vae6sEaLznruVQq5OFc3G9Lb3rTVOmB5rtTrr 8wxRr9ToqSu7e4q/R+W3DfMWrN/J/m/Ia4z84egLQn8X8PweJfHZgjcQ/I/7 SHsKY199xvXY/+KH9EdL/NO+WEGeUPF9mzz4TvyHcU7bOKdQ9BXDfydcT9XK eGsrUtQ4tNaYiML9RKNKtdYYFXMVNsdXDnaZ7CnGbdySUtp+jCi6d8bMH/tm iVdrzk2+mzhVlEu5dmlcir8oVWjOoh52c8VLa/v3xbssFreCjukmvfQTPjMr LZ4eHigWmSdvqZrmL/rzfZ/5T6yvzH4j5OUhvxj6JqB/CHiswJcO3tvgz2J8 jj8XYW8G9t/GH/fxz+j4gryq+OMTPLMIfulP/D8l/isQZyU4xxbgeQSehr17 nDNP8BKFGBu1i5zav+R80WtHpn1iy7miW5Jvt0VvFou57TNTbk9bJHbv2Gaw 62uguOI8ym9MtyXCbu3Va19HBIg/O+oPHfIrUISOym4V5TFHVJ0wqtOMwf/2 U3znMN+N9SHsf4C8icjvj7426LcDT1fw1WPMAf8/2OOMfX+J258avnqBfyI1 dUjxc5VmkseN4O9ceMWghOQVlZ8dyI/RnPNYztkOvLbgXWjnPHbq/EDRizFv 9gyz2iaLRF7Y/cDSAxaLZ6K084XX7uLdx1ZWw3tOF21Gx139meiv71HGrPrp 4Z30BvGDMtKnLNefEx9v636P17+6Ib/bV5DzYaPk+u15cn/5NlJeAvK/oW8I +r0YncBnD95B4J+NPQOwLwB738KrFeH5rvinUbOCdVvVvwjq5Cfq41j4egR8 3RreUTz3jPxpRv4MJg4GEQcma6U9pedIey5Wndy6x8iO+tPl5Vg0ZnG9Yp6r 9T9HlpxRf/ByfYt1n/2/H9uk39Fhl5HvvvX6fZ5JF/dX2ar/t81z8B4XqV/H dy7zJVj/h/0foqW8mEpS/pcKcryMPzfg38XgGwFexTe/sMcN+5pg7yTs34Q/ XuKf8Zo+R/UXt+lDkuk/sqmDa6mDqh6ch88t4KWy8FIK+XWD/NITZ9t1Mk6u Y2809l78/tOr5pgt+seMC9Z+aT9maqS+Vb+mr9Yu3Kzv3NX63t0Vy/W6kNk+ l4dG6j90lt/zmV/P+jnsr/1Djr+R32+U1OfnLPVvBM9T8L0GbxHwm2CPeVFp XzD2rsd+O0fpj2/4Z42mL1T9WwR93gr6u2T6i1+dZX9hT51sSJ28Bt9nwPdn 4S1beCunnMy/WPLvC3HkRBx1xB878MeEhVsen3kyQ/9ngRzXDavVLPvKWtFk /dDzlf1mi3t81/eX89GsG8T+FsjbHC7lG3SU+k6h/31FiccYfBY7Jd4s8Gdi T0vs64m9f7A/B39cwj/HNX206o+P0kfPpX/2p29TfVxj+o939B/LqaMDqKPm 1IMT1INNzpLXjsBr38nPQPIziDjzI+4W4y/b4dJfw79nW3X7u0M0YJzIaMJ8 e9ZXZX8h5F1F/jH0DUD/P/CsFfjMwDsF/Kux5yP2tcLextgfjD/UvSNLc+9Q 4w78G8C62/j/zx8pR53PJ/ToOb/F4LhLPM4B5xnOvwV2DCM+VmBnGPFTGj/k Bsj42kfcJTI64r+HfFfAj8/85PoFXeT+6chbinwf9B1C/7cqEo8L+C6Dd5q2 n8K+Lthrhh/f448w/KPX3NNUXBq8kvk+mrjN0NwztsAX1sR9UfjEuIHMi8Jt Jd/cDpN585g62pu88oCv7Mjrh/BaD/Iyk3Ew+X0J/zRbK+NuKP4uR15fZ/1K xnzkeZPX09HXAf3FP0k8rcjr8/DjB/LaDHsqYd9y7M0nr03hx/X456XmXqt4 Mov6cwse9aQ+7Ydne1O/cqkzql6bwdM21L9D8Hgp6nWl1pLnkyrL+nmPOrCd ej0F+4fiXy/iaidxNZl8VfXaknlj1h9gfyJyDZH7nb6gdFup/y71ejz4ZoG3 JPjfY88r7GuJvYuwX9Xrr/inq+YdQNXtgfRDN6nrN+gfw6j76+inOtIXDKXf EvQN3enH3OgrFtOvLVN9I2M4/cgT6vg16vhT4iaSetSYfNwEzz29Lr9TmZ/H +urEnS91uUIdKb8E/dYG9IaCpyf4XMFbHfwDsccV+2Zhbyfsb0P/aDRO+uet 5t1E9ZGr6c8d6DOn078/oQ/9QX/vRp9qS//fkz7WjPtBefrcpoyjwT8O/DuJ i3nEhQH5Zki+5cKrr+Exb+pD0dHyuy59+nv44xf9zFDk3UC+O/qGob8OeGqq Phy8nuBX95kBmnv4S+zfjz8645+1mncmda9ZxX3xNPeeu9wnC4XJe5G6X9fj 3pSouVdfZuwIPi/wNeXc63Luo8mnvPsynxLhqefw1HP4Pwz+f+Mp6+pGvkvR r+Sz/gn7DcnPCORboq8z+vuAxxl8V8Gbxvgcexywzwd773Iv/Kb8kSr9M+JG wXc5dc+eyHuPKe+b7rz3zOOensp7jxHvFH+4zyehvyL6m6s45VzHkC/9yZe3 8NB7eOjP39n/w+914PeL1E3Vf/jTjxjx/nOH+Qasr0d9UO9Hj5A/EH3q/moD HgfwWYM3A/wm2KXeYUx577mN/ZvwR3/8s7dowXfM/97NouV72o9c+S60n/e2 /P/ejeSo/Kn8G8a55XNuf8iHRPJBvVu5wzOKv9U9aSl18Sd1sRX9hjn9hqCP M+W7A/NfWR/B/s3q3oH8qehbgf588JiOLvj+sBL8R7CnBP7bh71q/IE/2vJu 1kHz7vvfO26afOetVFi+Ux5ktGT/xRy5/zDnMo5zuUC8r4cPlsMjreGRuvDz T+rXYureQ+reJ/orH/qJdPo0f/q0IPrfRXx/YH4u60vRjzxG3lrkv0efEfob gGc++F6C9yX462LPbOwri79+Y/8H3m+L4Jcfmndy7ft4pmY+O6ag33tq4nmb 5v0+QsO/pzR1bYKmXzB6VbAPu6npb+9r7g3XNPexv5p7rr/m/aCe5l1mg+a9 K17z+0xe0YLvs+/2FXz3/vrk//27wqbbKxKnVv3H5qVBlG5GrZCWtS3aHp9/ IbbV7qzIeddzzts6tOm744rHNruogV+LebUdbH+j7rzaGyt/sg83fpzXff0Y h+cdwmKbz491yK65ZOPATi8deozbE3dy1o//vtW8Wq/2K3lKvtKn9Cs8Wnwd u3WLPrrZVZdVteSNnYUCdX3v3qpq0vGoLs5r9+AiG9N0lU+/yU4L/6k7MKSZ 84JZFqKBu0foj0nWolqLN70t2toKG5OQkBmb24hvA1ob/j3aVjTmuwbzVqy/ yv7qyFuI/Dboq1hN6t/ZVeLR+q8W88WKGPj+iT+pm7g69G2ne890eztUH5a7 rJSwCByVN6VRQzGk1bPGtRu3F5+26RbeyesvfMe3tTVyGyUCf2fWsQ/wEoUu DLxXJdNb+PGt5gttl+uHsr848q4jvzf66qL/N/7Snu8Q7HFl/dvG1RI79S8j Qn6en5qwvKW4XiUva8FPV9GvT65ZTgkvcfyWicOFUfNFn6TqiyI/BYvp5S6c OqxfJXL2vdkbE71G+PDdj/mTrB/L/jjk+SM/D31e6B8GHm387cD/m7FP7R/y zCggxmyAaH7Ucvu0S9PFoSIrv4TFhoqXq7d1fzNpk9i4Q/fX6/ce4Zv6+p5r 4kHRLtLhSrXJh4Uf35uZ/8T60+zvgrwxyA9A31X0HwKPNj9U/P1ZLM/jKPa2 Rd7utR2abY5ZJVyXrboWHb9L1HjU48z5F8fEobrjroRWPC8+15uwOc//suh7 v19oT+ur4jXfscxbsV7tP4I8HfIvoK8y8dAcPNr8PUp89yN+enM+R7G/J/L7 lTcu0vxTrFjS2rtBQuOrIs02zb3QrUSxZ+e9whts74q2VerveDPontjOdy7z /qz3YL/CG4f8Iegbj/5b4NHySwvy8QP5EU08feS8quCPeejbuztjsXvFZPGu h/+d7ZceCL+BSXeqn00TdksdTu1aki7m8v2d+ROsV/sbIC8f+Srei5NvjcGj 5b/68MdU8nMg8b+J+DrA+aXgnzfon+pTzah900fCZdGRuSNSHomhS2qs+un7 SHTm25f5t6x/wP5jyItAvsq3JehvCB4tP/8D302FT7zJV5Uf+cTbJs5zPv5y Bo/7q26vvNb8688OS+tOzE0Vo/nuwfxs1u9kfx7yViB/EvqC0d8KPNr6UXig 5OeP5yX/PYNfVP4OJD/aE38tON+B+M8JfB0ztrypuy9FtOfbi3kd6zuz3wV5 HZD/EH2m8G8p8GjrW0uNP6dh3wLs/YD9O/DHVPzTSuNPAb7hfCt/L9H48z3y QjT+XP6/+FOdfxPiYRrxMZR4Ufx3mHiKJ76yibcJxF9r8HTHf+rbm/mXrFf5 fxB5kcjvjL6F6LfWxKfKp+bkVz75HkP+fSYfy5Ofc8nXKPI3F/0++Ksx5zuN 7/fMH2P9QvbXRF4e8o9o8r2BJt8VP92ArwbAX0M1/NkdvusL/yl+eYR/1nOe rYg/lW+PNPw5gf39kfdffULfRPSf1fCn4ntH+L8E9UDV3w7UC1U/+iG/Fv44 zvl9JN66kR/qW9Wruqzvw/5DyGuH/Fj0/YP+Fpp6pOrnGerpBerrUurtWOqv qp8Hsf8D57WS+JpDPjiQv/P5Xsf8O9ar+tMdecORH4i+++hfqanvqh/pT3/S l37li6ZfOoe9rpzPaeLJXdMvPdf0S27MH2b9CPafQd4y5H9Dn+onF2j6JdXf DaH/LE//N4D1Z7GvDOfRi/j5Qb7NIj9nwSeF4b/5fM9m/ifrh7PfBHnXkN8f fT3Q/0TTf6p++UsX2T8PBK/Anmv4XxAvKr5bko+KP+zhu5Lws/pW9dia9XfU fuSpeBuJvhHo36Tp5/+v3I/K79l14/LJbJuSth6WG7xtda0Y1d8X7ZrgVKeM j6700uLHwstP0o19fTnkVH/LVqPDvNJ/mGzTvZ4Q9vLu8/W6mHKpLztlOts2 SHywL6REvK7brImJjaPP616+d6k/waSlXfMq28oWa/pOl2F54UGTyk91husX 7P1Wq4h9G3H7VU9RUrwMXDdh1YR8Xej8QkcGNY22H7L9WrHx42qJHhOLzXrt ZCpKlGg8wuhEc4fVNXutWJfcXPiO2nvGIbKq8P74JbDJxzUOlbsX6XtksZMo vCjj4/TZdUWa6axj1Yrcd/gW1mP8ir/OovDnjsPXmFkJ21rZtSI9vjh84u+/ F8r16u9myJmFfCVnHXpdwKP0DgJnoSUSv8LZAbuysFfZ5YofquMf5Yca+G0l /lR+c8PPvvhf+fkg5/K7pTwvdS5lWhU8PzWq+dPIWcv+pi/iKqZf2K7rxajv 0bPopxrJOo89Kya8LJmkO/Ns86e22fm61sVy77Yx+aLrlHAp1epWNZFY1qXX tXPmIqXf1H22L+zEpaYNvvkXbSpi//Y8lRLfUyyePXuDY6KzGLft8K6DS4cJ 1xuLcts97inarRjfcPbhccKjwwKPnr79Rd2BO8NXJE0SpQbsPHKjyQBRk+9h zDuzvhf7vZAXjPwL6LuG/ofgSQBfffD2An889vTHvhjstcP+oYxR+KeYJu6V /w9zTgM5n57IO4u8o/eK5RQt8kd3lfGdr+HmzMr1RGAD9yv/HKstrtzL3rGn SUehK3XweJdgZ3F3w627ias9xLXXgW2H/HQXD/bmLn04brroejfR63LgBGFX dGPe4cmLhF/QtwcrH80Uk2ad/9S6ygoRY9DR0nqBnzj8bsHsqGprRFEPb7+b gwL++45iXq1fyH575PVGvtKXjP574HEA303wzgH/a+xJxL4rjOexfyT+WIB/ Hml4QsW3LXlQh/i345xOcE7T0Kf8N/ptj9BF6Z3FUMbTt16bB64bJ+wKvX2R +mO0CKvdenTeqABR3azm8Qt75wmbxK8dttmuFQnTn3w8VW+FOGXWte7WrjvE rcQT9a5/iRB3H596OKxTtBi7tMdhy7nbxIdTZ+w8ih0Wexe/HhDfaYd4z/c4 5h+zPp79Z5F3H/lO6KuJ/k3gcQBfAng9wa/GN9g3F3uvY/8A/NEK/7TQ8Kri jwfwTGv45Szxb0n8N+EcL3OO9uC5DJ6eJxsPPTJzkejBOHlTzkSnMxtFy6+O u5P/RIhg57BOl8ocFEMqDm4ddWGfsK/czafQujhx0HRyi/4Tj4nJ7h4166y8 KCbW+b64zvo4MdnkYaHO566INXHtSuR+OyM8+R6r5ll/jP3OyBuH/KXo06Hf FzyDwDeYMR78rbHnFvYJ7HXG/kz8MQL/fNXUIcXPGdQhJ/j7BLySCK+c1ORH Rc45nHP+B7w+4K395Fd595KHRT3GVScq+NeqekE88xtnddNfL8q4V15k3uym qDrQY7DVzGsi+f7uukGJd4R/o2UGxi1uifg93+aOLH9PDGt0s6zomChu8O3H fALr67HfHHmvkB+OPmv0N2CcDj4n8G4Gf13seYB9idibjf1p+MMN/5RcUrBu q/rXlzo5gPo4D76Og6/bwTv34J3b5I8j+eNOHAQQB0+wJwx7MpzrfM5vfOu/ Mdd89Mxb9vfF7bP7ZrQyvyd+fvv1udv6h+Jdxe9Zd+c/EE5Ft1b/MThd/Bzk WKlWWOp/3x+ZN/gu1z9kfx7ycpH/nHEt+nPBswp848HrDP407EnDvm7Yewv7 w/HHWPzjrulzVH8xlT5kLf1HN+qgqqu+8LkOPk+Al87AS1HklyP5VYU4MSZO bmHva+ztZP+r/sUlaf+NrcesqW7w8JEY8cjm/e9lj4Td2b3h1zY8EhfHeLX8 m/pI2PI9kvl2rHdhfy/G98hPQZ+K+0rgaQe+I+BVvJqEPQL7ArB3Kvb74I/d +Gehpi9U/dt3+rxK9Hfu9BeC/mI3dXIydXIMfH8Pvh8Hb02Bt2aTfzfJv9fE 0R/ibij+cMQfzyL3mmd+TRdPGMN2/Tp7YNBD8ar79McGuWliBd+vmf/A2Jb9 yr+/ka/i9g7654FH4fME7yPwT8Se6dgXjb2dsH8K/miKf0pp+mjVHxenj/5I /1yIvq0GfdvP4bL/OEL/sZM6+o46up56MIV64A6vXYPXPpOfzcnP08RZK+Is F38tw1+zdh6/sMr5gZitGcOZf8f61uy/jDxH5Oej7yb6B4NnPPjWgvcz+Pdg zzHs+4299bC/Gv4oslb6p7Lm3qHGQvhX3UP64v9ayNmt6evGa/oTL87XC5wL OH/lx5fER0PsHEL8NMEPj4iv5fgplFH5byXfaxhfst6R/WOQJ5D/CX1Kv6pf o8Cn8kf5cRL2KPv2Ya819k/HH8XxY/FFBe9pKi79yHd1b+sOH3QkrucoviDu FZ+kkBeKHyeRNxbwUTx5FQ9ffSXvBHzWjLxsxZiJfxrhnxzirhnfWcy3ZL3i he7IU7xxH30qr2uCxxt80eBNBf9t7JmCfXOxV/HaZPzRGv8Eae61iic7U3/C FY9Sn6bAs+2pX23gYdXvqjqj6nVrePwp9VHVmVTq5wtVVxnbYL/yrxtxpfL/ OPn6D9/uzH9hvaozSu5LRlWvVZ15AR5VBz3Aq/AnY4+6Z6l7l6ozYfhjG/4Z qHkHUHX7M/3jSOr6dfolPXX/PP1UOn1BVfot1ffY0I+pvqcu/doa+g7VP2Zi XynsU33PdeIml3w8Rz6+hecuavhBxXky+8siLxv5Eehbz9gIPMvBp/pHhb82 9qi+R4+96p7+An9MwT9vAgu+m6g+8j39eUf6zGv075n0of/Q36fRpzrS/2+g j3XnfjCFPncaoxX41X1G9cnq/lGNfJtIvs2ExybAY/019cGXeXWfUf2VDnkv kb8Mfar/ngueOYwDwav6cCfsUfeM1tj7FPtf4I9B+Oe95p1J3WvsuS+6ce/p x31Sx71I3ecTuDdN5j56m3uVGgeAb6PCx7mr++4I8kndrw/AU6p/Uvc+1Qcs p66+5Xs084qXFc8peWOQr+JM6d+qOe8k8CZr7tm3sW8e9qp7oQ/+CMU/FTXv cuqefZ73C3vu4X1531DvSer94zv3+PeM49Cv3nvUO8Vtzf1R3YPuqHsQPHQd fveC31UfcIi6uY1+RPVbqm9V7z1qv5KXhPyH6KuG/ofgEZp79ETwf8aePMaH 2HsH+9V7j3r//ah5x1TvPjm8p/XhXUi9P57j3egE413kX0S+H+em4tZOvZuR D1fhmfPwjHrXUvVL3Rs6UxcP0G80pt8owruZ+lb9cRfWz9PcOzoi/zr6rqP/ OXgcwafwLgT/Q+xJ07yXXWKcjT/W4J8Rmndf9Q552Ea+8xbbLd8pizDasN+Z /aM5l9Yqbon33sR7EjzSGh5R77jqXTuIuqfev/vST5jTTwyhT/tMH1ua/jef 71HMV1Tr2a/us0r+MPQlot8FPPfBNwC8A8Fvgz3DsW8k9vbA/qe8355hNNW8 k2vfx2NtCs4XCS3o91hNPA/V8MQfDf+aaH4PmKzpF8I0fZiFpr+to7k3lNHc x1Zo7rkDNO8HxTTvMr817106zTviT8377AbNu/eL/+V3BX5HOsbvSsf5nekE vzud5HeoWH6XOsXvVKf43SqO37Hi+F0rjt+5/vtW82q92q/kKflKn9Kv8Gjx HTWabNfdd5RuRd9xJw+vWaPb2eTq2gPl9boHV3RV0mZl6Xq0synaVRQSi38f ORd+1UKMyqpRdtFeS2GXMGu4w5kWwtm7zMzT1exFs2yXWSa7HUVrvk2Yd2K9 K/u7IM/yqpS/p7HUd6yf1H+9qMSj9V8t8I3M3+rvOfSSLmHrjLiTh97odnR7 4zWmqqmwOZk0+Wtta/Hqa6T18yc6kSUO+my40V2kVTI8Z2vjJk72zO2x7OUQ MSAox7WRbrhI5Hsp8xdYX/ub3F8Nec2QP2mb1Hfhh9R/Dbza87XGfw1Y33t3 d1MXh3LCJLzIJpPkFuLC/j5bf7TpJoZnr73nVmOomL7zcEZIY09xLHJmi2ur fcS9ZzY/rb1miIlLLxVzujZTvOd7KPM7WG/G/tvIq4r8Aegbin4T8Gjjzx3/ 53eV9vVgf/etM0+V9+glXhvamKVmjxIP6o1/t/3VVFF9xBHvn77zxNGL3gb9 svxF9cGnVoy3WChchm4v+rTjQvF1kPyezvxu1te0lPsbI28y8v+slfoW4N/y 4NHmxw7iZf0JeR6FoqW9ZZF3/YVHp4arZ4hRQc2WZg70FwMNg14uclgoDNvW WDTdc4GIuLssL+P2NDHq5L7j7797ixFp8juitZw/UFSu9w+W+wcgbynyl+Df fPT3BY82f78T37uJv8Ocjw77bZDfoUXOpd6zA0TxwRWmT1nrLS5P2jbK+KmP vs+toSKi/xK96fimob0cQ/Wm1+V3zFQ538ZbrndjvyfyrJBfD31lid8A8Gj5 ZQb5uId4jySePnjI87pUTPpj0gSpr+zLtVnNtwboT757vMTMda0+wa1R7ZTC G/TrzEpHVpi+Qd/JVX4/+SDnrT7I9R+nyf3rOI/FxMMi9J1E/1DwaPnPEf5Y QX56Ev/DiC/b9vL8GnlL/+SD73rSgq+Hm2zQl7a8uKxJjdX6aklTS/aOCdJ3 qCm/bW/L+cBXcn2PsXL/7zZSXrVLUv4q9EWivzR4tPy8Er57DZ9sJV/Pkw8D b8l463FTnucCd+kvk+oSj2eW6SePL9NE9R2rOlhsXyUKp8vvA7Xk/HL8+/6G 3D+aeC49UMpfhL4n6A8Bj7Z+ZGRJfq4G/5WAX44Nkfn7eZ/Mj7o+Mv4yzeX5 Bt+W/vuxWeKrXSN4S4VxW8XfjfJ7UJqcdykn1y+fIvc/PiblOcIP79Fnjv7n 4NHWt8bgv4c9YdgXhj9f35f2r7wj/TGnv/TPiWrSX93x38CtEl9IpvyOZr4d 8ZvKeejuSHmm+PMI+taiP07jT3X+JYmHPsSHK/HSiPhc7yzjqQrx5f1GxluL OzL+eteWeP7ES/81q0E83JLz117L9X185P66xLsV8neibyr6h2niU+XTTPJr M/n2gfz7TT4OM5L5+clT5uvutzJ/+76V+qP7SX/5msrzPY6/D7yX8z8+yfWN x8n9seR7Q+R3Rt9x9Ntq8l3x0034agb8WQw++1WvIH/mwH8PJkl9veHHRvHy PIuMlfHXinwxmSjn13vJ9aOay/1dkKfkj0HfNfTrNfyp+H42/J9BPShBPepM vRhG/cihHjWET0118vx8k2S87T8n8+MX/PCD+YX47z77RyPPAvkR1KPf6PfU 1CNVP2dTT69T31V/MJL6a4q8atSPD5xXVfivFvk2e5jM32DyYyPxV2mkXO/E /orIu4D8SujbQ33Xaeq76kdm0f+9p19xoX/pyP4H2JuTJc9H1Y8+xP9S8nUf /DKJb5WP71jfm/Ndh7zCyG+Lvo3od29csF9S/d1v+r229H89WW+JfSXpF/8Q P1+J93MqP3tJPumk6T/dVH/K+nfsL428TOSvQd979Jv3L9h/qn75EP3zCubz sWcQ/p9FvAwlvh3Ix/ybkj/qwHfh8LMP34bwy3TWn2F/d+S95r7gib4/+Cu2 SMF+/v/K/Yj73LEs68VXf7/qroutL0f198/fdCcrrvXTrfz6a629wxx1Lzyx aXW9gyOaReti+75r26vbTnV/PPlixT7Tu8Xv6jItE/xu7byu7pmx16e7XRu9 66NuW9Hnpob7n6v76Klg8/z+qabGYl67510MvH6re+upOiXdDA261xSNejR0 +mjz3/02rsqL3kvCPzQWy/e0j+vvXFndg+Oy15/xEQ1bierRFYrdSKyl7stx G9sudu//xEF0/9kjP/5QHXWvjjvO35/ul+vV3/8iZxLylZz0XKm3I3iU3trg zG8r8Sucd7BrMfYqu4Lwww4r6R/lh54rpd9mukp/Kr9tWiX9bP9D+l/5eeQP eS7WteV5qXNZXqvg+alRzTt+kXLKfZf7s+61edG4/0FdBGPl7LdjBvul6Xpv WPLQY8sDXVz/f0ycrAoJq/376o979kO3ZX5Uq3K7qomiGf329V5uISZbLG2/ br6NGHL92OIG3g1FpknPNfPKdhQT2sz4p/AwR3FmtntEVyNX8cI6NNrpRwdx +3g7j43PB4r2QZM23MlzEX1CxIFR8cNEUqfUBqsO9BRj+K7M/GHWf2P/SuSF I1+PvpnoHwOe3McS3x3wJkRJ/KHYE4d9e7B33l1p/wbGvvg38kfBuFf+70fc nyEPpiOvPPKqTlhx3eybgWjHuKhq+/tn7OqK8ENlJza0qy1+WRSyHHukjWhj vfXxlSBHEfvAKLvy877/2rulRs0fPYXZs6IX/AaOEneHZJbeOWKIWHRiZMbW FG9RonZyg8Bfo4Vhrf5r3K5NE7Zv4hf+WDVB9Etzu/xz5kxxadvFKmt2ThTt +B7IfEpNub4W+4cg7wzybdB3Av2R4OkEvmzwngJ/GPaUx75KjLHYvxt/PCR+ E1wL8oSK7zjywIT438o5beWcLqNvM/pePI3OaTairdBlybF4F0vD7CqDRN+5 PyvUeeYuaucPN+p2YqLIWJAYd3X/eFHfIbJaudRZIr9ds5Y1EqaJnL7+lTuv 8hNjL08JtT8wRzy8UPbKh+MBosGlNkvt0haIbR2K2rp2WyiMX35pnRHmJ07y bc28L+t/sD8AeZXbS/nt0Xcf/cvA0w589zpLvGbgr8+4BfuWYe827C9K3vXB P/2tCvKq4o8lhpJnxiueJf71xP9KzlHPObYCTyn8Z/p1pVd2rrfY80WOlmXu Ju81nid0Icbdq++ZI3bsHb8kq9BCkf9pWVq+U4AYm/7G845JgKi8znL99X/9 UzZ+aKdTRWcLq9BTtZuYBQjneL9mF9pOEaEbir17besvsm/J79dL5fzKm3J9 OfabP5LyhiL/1D6pTx8s9a8DT2FwlmK8gT/nYs8r7LPD3vXYXwS+isI/tzV1 SPFzBnXIHf6uDa8shVe+kh/TyY/XnPN2zvkreBuC93rf5eYV7BaKdFc5XnwY M9vKY5742fdb2zJl/cTqVvHGa0s31t+JTX1eOXmsqPnD9dS5Pv76S0e3hoW+ Ha5/nzF29i2rpfq/jVqOc9s+WR+bLr9bnpfz+z7K9UmH5P7fplKeeT8p/9kD qW8QOMIZm4OvP+fbEvyF/LAH+1Zg71zs98YfMfinj6Zuq/oXQJ20oD4Ohq/T 4etceOd3tuSd1uSPMfnT/LOMgxHEgRP2jMCebw8PPHh2cbj+fpoc37pf+mNe fKW+aLUOTduVX6rfucLRcWDEev0+k0Ift98I00cuTy+z33+DvmnFzs41MsP1 30Pl9wczOT9wuVzftKbcX2KAlLf0kZQ/JkWOS1Ol/rXgaQ6+b8RtdfDbY099 eDUeexOwfzX+aIx/PDR9juovNqk+hP4jkzp4iDrYED4vAp/HwEsH4KWO5Ndi 8tX1qIyTNedu/E+c3Kwq7V0yUNpbZNLf3IGPI/SFJssx50br7vOKrtPXNfnU zK1zhH5v37jBs/KW6qc92dUy62e4/nAf+V2Jead4uX4YcvojJ53zMawh9V1+ JfWvPiPx9AWfO3g/g78V9mzFvirYG4b9pRpIf3zHP96avlD1b5n0eVUiZH9n Qn9xnP7Cmjr5iDq5HL5vAt9Pgtce3ZC8teW0zL+gLzL//hBH5itlHI0qLf2R jT9efR17Or34HL1znhx7rXh1/tfxUNHqyshlqeajResw+R3Buto/5Jh9Xe63 R96RZVJ+HfRZoL/UKYln0nWJ7xx4J4J/NvYcwb752HsM+98ukf5ohX9+7y/Y R6v+2JI++gL9czp9mxN921f6j0cPZf/RjjpakTo6mHrw4ZqsB63htQx47mgl mZ8Vl8n8LEycfXCTcXYjUforCn+5eHtXqn1/o+g2UY69+I7Bv5Z35PqT/eX+ sxlS3jv4ILSC1Hf4sdRv2lTiWUT9so6QeEeBvyL2HMe+8tulvSHYn4Y/1uKf mZp7hxov4d/DrHMgHo2R48b5vEXP+Yvy/MLAsZA6Km5InFXPyfPPw4+WZWR8 NIbnPExl/JTpJ/2w74uMr8OrpJ82rJFjjJf03+fV8tuV+WfE41f2zyLfM/Hj FOKxF37sQn26kSDx1SceG4C/BPFYjT51MvY2xf584vEc/ukYXfCepuJyAPlu Rtz+gB89iWvV794j7p3gk0TyIge+GUxeVz8p+ejdZ5lXX6gn2dSHIHjNFV58 zPjnu/SPmav0T/hFGXc9+d70Sc5PJZ8PM9rCjzvI6wq1pL5L6C98XOKpAD5P 8AaDvxr2bMe+2tj7CfsT1b2Le+0vzb1W8WQM9ecSPNqL+rQWnt1O/ZoOD1eg viXC05nUPzd4fD/1cXUR2Y9UTpb1syx1Zhb11dhb2r+Len0InqtHXJUg/1fC B7bE3etQub7bFLl/i5uUd4E645Uq9flnyjrTEzzzwJcF3jTwG2OPN/YlYG8o 9sfgD0veH2pq3gFU3V5PP1Saum5Ev/Seup9MP9WUviCf/rE3fYML/dgU+opQ +rX7KbLvmEz/WOyxtC80R9onqsu4OU3c1CAfnegX/eG5QuSnP/N3qR/jibu4 JvK8itP39EbvG8aF4LECX2fwOoE/AXvKYd817D2O/YPxhzn+yWpX8N1E9ZGf 6c8v0Wfe5z4zkj50MP39PPrUAfT/qo/dzj2mK32uB+NY8K8Gvy99uIrbeeRb MPlW6azkMWt4LJL6YMh9xjNWzh+i7o6HPzYhb5iKO/TFov+CmcRjAK488PqD fyD2+GNfd+ydg/0/8MdW/JOreWdS95qB9eV9sTf3nhju16+4F93jvnmHe1NZ 7qO/uFfdZ/wEvsrgK8a5O3Du18mnLPKpJjxlB09Nhv/3wf9Dqavj+O7EvDnr zdmfirxZyB+PvpLobwueftwHl4A3hrE59jzDvi3Yq+7Fhblfq3thiOZdTt2z U/rI94tl3MPf8b4xjHv6U0/5/nGMe/w5RkP0K//24lxXc64luG+1Il8s4aEd 8NA8+L0R7z11qJte1M2y9CNF+d7C/G7qwQL2T9Dwti36TNCv4iwEfJngtQH/ aeyJYzTlvWcz9v/AH2vxT3nNO6Z69zmZL9/TBvEuVIb3thrP5LuRAaOSH4D8 eM7tPefWgXxwIx+2wjNx8Ewk/L0b/s6qJeviBurij9ey32hEv5FN31qf7zH0 I96sb0xdXYC8ZORnoS8R/QvVeyj4VoB3HfjXYU8F7DvDe5mecTn+iMQ/DfIL vvuqd0jrmvKdN4h3yiOMd5Pl/vyVcv9BzmUa53KB/A8g3nPgkTj1Xg0/O8LP a6h7H+gLKnLf0tFvTaFvTaBPa9hZ9r//vbszX5z1xuxPQl4A8iugrzP6T4HH gHebK+BtR74GYM9r7NuMv6LwX6ryB+P6GgXfybXv49Gad/SrGr+/18TzMw1P 5Gn494vm94Bmmn7BUdOHbdH8DmGnuTfkae5jfpp77mzN+8EuzbtMjOa9K0Xz +4y75n02UPPu3bLm//t3hRn6OY0iLOvaJKQnWw1ZNqel19cU4zaVo1rF+Iyw q5982LbYzfp1UlxX263d/qzh95vd7aNM9Sl76j6zr3ZitPe3ZDeHg4UX3ely d5/DgsrelUftSXOISLq7f3L6q/++1bxar/YreUq+0qf0KzxafL9btRtR1n6m Ln3slBfbfHfpjM9Ou2Z+KlGXEDm67D8eH3Vzjj6v5T3CTFjtGJIes91S1Mj1 LO67yE7caXen/e+yHcTloU2Cm5fqLkIuzfQxtuwlLvGdynxd1rdi/wLknUT+ mzNSX6FxUv9i8Gj9dwt8KUYTdDN23dV1quOT9d71l+6di+GKhGE1hGFh9/OB JxzEh9Zz7vjG9P73frqhe8WZI0RqVvXfBs8miZ5dr3lsfztN+MUevTi3zkzR le8HzI9lfR77iyLvPfJ7oO8O+suBV3u+hfBfd9b/E1nmW+T4OuJY2u26DQe3 F6cnxweP9B4urMpdjt55Zprw37gr/kv8IjFw94AtxikrRXnbuYYW/cJFplNm pFnAelGObzUfzPqm7D+BvCjk26HPFf3lwKONv3P4Pxn79rD/jGOr9HaNR4lN v63/FEqbL0T6dNsKvqvF6O69WjXetU28n27hcnXKfmGSp++sO3lYpKy6XzHS +agoyfcX5j1Z3479x5B3Efn70fcV/cng0ebHbOLlo4E8j6PYewR5H9Yb+Dh1 CRfOr0zrHLfeJyJjWryoc/SEcI29eHvfzfMip4d/eve8y8LufJtpe2dfFU/5 dmN+I+td2P8NeQeRH4c+M+JhKXi0+duE+H5O/FhyPsp/7ZE/9UiYQftdceJG qRv1H867KuadHvJlTrdEccvkr7nVrmQxdZbvk/zouyKB7wXMq/W+7O+JvA7I b4C+r+hvBx4tv6h8HEG8q/gbz3kp/11E360lLSfO3nZHRPUNKpRzIUV8SPwy 4tDih+KB3QArg25pIo/vY8w/YH08+7chbzLyVfxOQn9z8Gj5LwP+SCI/hxL/ ecSXOt8Z+EfhK1mtwzqvL2liblzZmy+/posTk0pGWz5KFwF8mzF/hPVz2N8f eZ+R746+Z+h/Bh4tP9+D75zhk7LkaynyIZd4u8p5vsVfs8HT89jEISv1aSLl 5tq6S3Y8FAP4XsT8J9areFDxWxb5ZdDXH/1J4NHWj7Xw8zT47xH8cpf8tSU/ JhN/NznfY/jvPvh2eC37VbR8qnjI91nm01k/if1NkJeM/LvoC0S/wqOtb7f/ F38qvnmG/Vfwx3P844O/umn86ca3ioevrL/B/sfIU+dljL7e6L+v8ac6/6fE ww1NfL4jfnoTTz7E1y7irRDxNw08u/HfdL6LMR/Nen/2q3hX8vujL+N/iU+V T5bk10jybSH5N5F8XE1+XiJfE8jfvehX/r3F+b7gW+XbHdZfZ/965E1A/nz0 TUG/pSbfFT85aPizHnzWBn5rA9/5wH9X0Dcd/+g5T0/iT+WbH/PXWL9Iw58d kV8DfT/Rb6fhT8X3QfB/IepBLPUhhnrxhfrRHfkb8Edfzi+TeGtOfjzhuw/z m1nfkf1KXjTyj6GvCvqDNfVI1c8U6mku9fUw9fYa9Xcv8tpiv4qHl8SXEfmQ oKnvKv7UelV/DiNPyY9B3x/039XUd9WPmNGf9KJfsdP0SyextzbnE0g8DSH+ VX/0GH4x0/RLS1jfhP2qnh/X9Esz0V9L0y+p/s6Cfu8a/Z/qrz5jX3HO4wXx o/rJO+RnZ/hkAfynvlV9G836j+wvhrx85Lug7wP6X44t2H+qfnk3/XNh8ObT Xyfif9W/tCC+G5KPT1S9he/C4OcUvrOYt2K96i9UPqQhvzz++wf9OzT9/P+V +1Fwox3Vh8Tfs1mw1PXEHovhumWM6u9//XfON5iyWjfK84h/nvVyXZfsvhfu LKvQqvbVTt2zgs/qDg22Dv/keVx3dPWbjo1SW9iuqPj/UefmUTl3Uf8/CZG5 gYxlyFApkQjXISFjMhQylBKikDEhkVmijJkzZYjK0NwlZB5Spsosc+Yp8+9e z+d17rXuz/o+6/f389dZn+ucs/d777P3e+9zLlMbsx+PNY+1t3clhd/RZOct 6LevtXm70/UTeh84pyPujy0223T6i6Z/er288Zaf2x3MWtm85q264rZt+6B7 ulVEft7wYfeTtrbvU39G1UrDW4mpQWl9mvUxFXd1SneNO9TQ4YxVw7ILV3cW ndf1Kiqpbymadi81+HP5RQ7H35Xf7Tugp6jT90NpvUmtRf+kvKnpTc86BG11 GfRa4yJ27Vo83inGTjifCz0zYsUzhxn8bsJ6+fsJ5DgiX8q5gN4g8Ei9EucL 8Eucadh1F3ulXefxQx7+kX5Yi98m4k/pNz38vB//Sz/bLlDOpRnnJc/FUnV+ cpTz3ZFTjv2J+tHx271OapIYK84b7t+48yvN2uefC7dNfq65XGK2+5BdNXH0 sX6Tt28rCOuWtkXlC1qKNq++3K1uZy58Wy56m3ehu9AZUHbx0/hOYrSji0vD oGFi37OH6zKGuAjN6LPfa4WPE+cblR83dsYwYRjk7rhtTKB4bXq18+GK//BA s4F7x82aIaaGTvle6o+3+MT3C+bl+nPs74K8I8j3RZ8u+seAxxp85uBNBP8Z 7NmCfcbYuwv7DzDa4Z8MVdxL/y/gnMw5nxXIq4a8sTZeO1b/rS6mM5ayafHD soOdqLH2wEffiq1FaHSGv4MYKBJKV996opmLsBoy0P5W4wnivZ2pZ7sv3mLD 5tpHRzvPE51nuMXbDZom/IpSTu5qvEK0TDpSyTZxvrDMzvE7cCNKDLFdNqvT yMXC3cysIK1og4i/s+1GbMxSMZhvOW/Berl/EvK6IX8T+r6hvyV44sC3ELzV wP/HWrFnMvbJsRH278QfkidiVDwh4/sKeRBO/G/nnLI4p3Lo+4u+4KM1Y5YN HSxmMO5e+rXp3dGBooHTyNgTWyeLXcv3ZYw/vFTMn/pgZv2BYeJWt5/H8zTR oszVhQ5WBVEiv8ZSzZGle8XIyPshWSHbxSFD+w59C4+IPY+9khZt2y3szgz5 eO9OorBwSojasHivsOF7F/NHWD+a/YXIq4j8u+hbhP7D4GkIvkPgnQP+EEYZ H5Wx9zz2n8Yf2/DPCxWvSv64Ds9kwS/1if/axP9WznE+5yjxHABPaubDSwVW K/4d/9Z9l93ccafo8nJAtWlLtotqMTuGjXVPENV877182TVOPN617EFsx3Tx 8/PuLY4OJ4TJgH0znUxPC+P5IRvKadLFh8k7WofWPCv6nl13zXpxpnjDdyXm a7H+L/tfI88I+Qbo647+cvUUPBfBJ8c48DfBnmXYl4i9bbC/K/4oxD/fVXVI 8nMOPL4P/n7vqvCKJ7zygvywID9knO3nnDuCtzR4T3V/FdC7MPHfceHggtOv srJE2bANPy7MOilGVWhe+ovJJeGd3jy415FzokHB/nk2ntdFjZ7mxX5vL4tn tcutP+mfJ6abTLyQff2qeM53ZebrsX4c+72RVw75Yeg7j/4LjDrg6w3eI+Bf ij222PcZeydhvxE8ew7//FTVbVn/AqmTvaiPW+Frb/i6I7wTBe9UkPlJ/lQi DqoSBzoqe/TDp9T58OqyqMRYdpLRvCvTboi3bmv7Fk3IE011rM5aTrkjJqWc Smi58JaobzRuQkaDAnEtecjB9Pm3//2eyrw167+xvyryDJFvzLgI/eXBYwy+ +uB9Av7K2LMN+5ywdwr2n8YfQ/DPAlWfI/uLTvQhsv/QquqgBXw+BT73UvHS N/LrGfnlRZwMI06KsVcPe9vft45sPCBf2DFWGb2+8qxThWL73XsTLUYWinUX zz3o8apQ7LjTd9vlf35fy3cM8was78B+jZSD/C/oG41+iecN+Ep9UfA+BL/k 2Zmq+tcD+x/gj1v4x1XVF8r+TfZ5afR3j+gvDOgvXKiTVtTJ3fD9Afi+Brwl ea4i+Veb/PMnjpoRR5vxR2X84alXtn3MxkLhxfhl5/2Jxz/ki7o+jdZd/lwg PvHty3wAoxH7dyPPEvmB6DNFvz54DMFnAN5j4D+IPTbY5469tbD/E/64hn/M VX207I/30EcH0z/70bfJPi6W/mMQ/UdT6qgtdbQ/9eA99WAivFYEr50hPw3J z/XEWQRxpvbXtgm3mvSdf+ffcSdjCfMNWb+Z/buQVw/5V9AneTUAPC/A1xW8 si9ojj2y39qLvSXYPw9/ROCf46p7hxxr4V95P5Hx+B45rpyP7ONkf9IaHFU4 31fglPH4BDt8iY9q2LmR+FmOH4YSX+/x0zvGrfjvK99y9GH9JlW+myJ/Mvoe oV/G41NV3W8F/ljskXEyGHtl//8Zf6zHPy1U9zQZl5Ifk4nbLPhA5rUlfNGS uPeETw6TF5Ifa5A3w+Ajmdcv4auG5J01fKZLXlZg9MA/K/GPEXG3im+Z/3qs l7wg+dYK+Z/QJ/uAMeCRef0dvBL/KOyRvCXtlfbfwR85+Geo6l4reVLW64vw qLy/yTrjQP2SPCz7XVlnysv6B4+Xpj4OhecrUD91qQNlGFthvxn2byCuahBX a8lXI1UcN2a9rFOyfpVjrIE+2V/JfkviMwTvXfDL/mMi9jlirxP2Z+MPWWfm qt4BZN0upB/qT13/Tv8o+56X9FOyL1hIvyX7ng70Y5XpK2TfGErfsYCxMvZJ /74mbmoSN2PJx0LyMQuee8j3BObrsF72TV7Iq478JeiTfc8V8BiCrxd474N/ CfZsxr7X2DsG++vSP47EP29U7yayj3xMf55Cn2mpem/YSX/fij5V3mdkH65V 3WPK0O/KPljeL2RcvCQuRpFvBuRbaXjsJTw2nvogv/VUdVf28bLfkn2i9NdF 9OuCpyzjOfDGg78x9lhi30HsnYj9PfFHLv55rXpnkveal9wXr3LvSeI+2Yp7 URXum0u4Ny3gPnqYe5W8X52V9y3wyXN/wLkbk08F5JO8F+6HpyrD/9bwv6yr LfmW8/I+/oP9Mj9rIl/GmZPq3iL9dwS8CYyh2CPvhfL9xQ77r+GPR/jnq+pd Tt6zl/B+EcM9fDPvG9nc0yfy/lGZe3wFxnnoX4B+U861Kecq83+96h4UCA8N g9/l+00MdXMgdbMR/Yiso/Kdojnr5X753lNBdS9ZjP424DEHn4yHheCviD3l GeW71iXsT8UfB/DPatU7pnz3ucR7WkXehbby3taYdyP5HjcN+fK9rjrnZsW5 7SEfvMmHt/CMDzzTVcXf8t5gTF2U/a/s2+Lo477xLfsRI1Uf0Q158l1uIvo+ oX8qeOLB1w68xuDPw55Z2GeOvRaMl/FHH/xzTPXuK98hHXjnbc07ZSvGWPb/ yVb2x3IuOzkX+Z6UQ7zbwiOJ8EgZ+NkFfk6g7sn75yX6CXmPKqZPm0OfNoP+ N5TvN8xnsP4K+88jLx75/dBXEf2Z4GkHPslfZ8C/G3v2Y58J/krA/n74Q8P4 c/l/38nV7+ODVe/oySq/b1TF8zcVT3xT8e8nVV0LU/UL6j6smaq/TVbdG1qo 7mMDVffcuar3g2+qd5kvqveub6p3xIOq99k7qnfv8f/L/wrTlP+RjvG/0vEA 5X+mE4eU/52S+B8qea3yv1RKrPI/VUpt5X+r1ETlf6zUecr/WqnRyv9c/37L eble7pfypHypT+qXeNT4fk66NT1l30KNTnG1bzv04jXPozdnVHl1Q6P/LH1y 2ajPmuY6Ac+TWlYVhl31dXIWNxSFOU8vLdvSSvwwHnj5tlcH0VnfwHnU8S5i rUu/W8udugoPvi1qKvN/WF+V/ZbIe/tUkf8SfZ9fK/qrT1bwqP1XxHw3W22D NU/yNW/a/ih2/fpH82dleYeCenVF6dZ+M59vbS3ehcy1H7OimxjXzmBRpcYD ha7L3ylPWwwXeuLe1YyVXmJs1YAHBndGC1O+OzPfm/UP2G+JvKfIr2Wv6NOg vz7+Up9vAfYYsP774UeD3v40FYcmng1rVaajeL/Ce0BqmqsI2nD1yp+9XqLL 5vENOw6dKL567nw0UW+qGNt0xNTOHWeIc6F/1swfMFP047uE+VDWz2T/H+TN Q/439P3CPw/Bo46/a/hf+m8Q+xMaWRx+cn2QmHzx3aEUz7FC98u3atObTRPW +3x0n+8OFkFzB803OB4iltyJa/aq/3yxYOn7zS+6zxffbyvff5lvxPq7n5X9 i5G3HfnR0h/or0G8qfPjVWklXsw4j4/Ym4m8Czurnn/sNkM00yty6F03RKRO ebTKbnWImLpvd8+ggJn/3KMMU7fqTxAeVmZjx8wZLWrrKt8r9ijzv1n/pbyy fyLyIpH/AX3t0G9H/Krz96OjEt8PiZ9Azuc09m9B/rs9FVZEeM8Vtpcjb3lb jxZNta/ebCuZqv3xa5yIbb5IW3uYbsmYqsu0bfm+kqnMF15R1t/erezvjr0f kT8Lfe/R34B8U/PLBfJxNvE+jXjqyHnpByr+OHBB0bf3VsJbnzGh2m4/E5zb t4zUns8KnOR3b512feqmJVM6rNcu57uE+Wu3lfVR2LcZ/zogPwZ9Y9Ff4bqC R81/TeGP1uTnL+K/0jwlvn5yvoH4b8sPRX/nod38aldcr031nO3S5X2EtkZc ePtlNku0OaOU7ybDlPkC1u9NV/bHEg/VkX8WfWbodwOPmp9Hwnc14JOt5OtO 8uPWX4P/ibe2f5Tz3HdK8dfcEQqez+uSrOz6DxedN/Q5/GHlYlE8T/l2AX8F 1rv/VvbrIm8f8k+jzxX9Ajzq+pEEP8+C/47AL7fI360WSn5MHaHE32TOdwv+ 275Jwffi2Nh6ugYbhHaj8j3gkDL/lvWZQ5X9N1oq8tojfxn6vNG/BDzq+jYc /DWxZwT2Tcfeln8U+0/gz6n4ZxDnO3Ku4j9H/Pl4sfJ9ZaQyP4X1ZUqN/5/9 Jsh7DX/dQJ/UP1DlT3n+NsRDb+LjGvFyg/hZsVeJp2NpSnx9Id5WEJ9W4JkR q/hvIPFwdogy70c+PT6p7G8Rq8ibiPyyXoq+tujvqopPmU+55Lsn+eZK/jmT j/3IT7tLSr62u6PkrwH6P5PfUZxv59PK9z3mF5Hv6y4q+29MVuT1Qb4L+mQ9 /p7z33yX/FQBvnoDfw2Gz57Bb4bw3Rf4sxJ8aJah+OcifPkO/owjPiQ/VIGP pu9S9t+Dj28gfyn63qLfTMWfku9/Uo9aUA9eUh/8qRcDqB93pHz8mwtfdSd/ L5JvL38r3y0539Gs18VeD+StR36ZlYq+hug3VdUjWT91qaffqK9rqLdZ1N8N yMvHfsnP/YkvmW+ryV9LvtOZH836Q+z3Qd4u5EeiLw/97VT1XfYjtTYr/ckd +hWdI0r/Mof9sr+Zz/m4EU+fybfpkh/glzV8v2c+kvXT2V8L/8Ug/xf9Ui/6 ta+qfkn2d/fpP73o/yqxvlq4Yl8jzuMT8eNOvOuTn5XhkwHwXxO+26j6z68y /pB3F/99wz+u6H/5+r/9p+yXT9E/72K+jPQv/V514kX2Bx/JxwHwxyD4biP8 7Mb3eOZLWF9D1c9bcb466KtDfzxM1c//X7kfLVfuc8dmvM54s2dpgCaMUf7u e2rUj3YfNmvsV2Wmfhu5XtNLuReeePS2es8JE85oZjq9cQ5en6FJVO6PSQ22 zYl77/NM8/VT94UH3O9pzij3zOQfF/WiHYt0xCiTEfNaTvyqGaDcR5PjHZZX GFbORExOyX/5wVpf3FXurSmJ1Z5Mj+rbQuxp87DQ2Lu2vN+m7l1om2c4q63Y k1d57N07jUUz5R6ceq1Lufvxp4RY8r2X4X6NhRig3JdTM0ckzfG57ii6lmm2 olBrJfoo9+rUM/y+nPXy99KOipxjyJdyDqD3DHik3hRwzpH4wanFrn7YK+36 gh/u4x/pB3P8NhJ/Sr+9xM/vwhX/Sz97ci52xcp5yXMZXvzf85OjnM9Dzhj2 d8u9nNM1+6xGw/hxyWndOZvfaprP3Hcyc9NrzedmsT9eiqpiR3KH2Td2VBAb X1XWPFvUTKy9t+WDCG0oitMSU8t87yQSitu3f6FnJ1qvCPKpPbGvyBmf12S/ S1exb3fFMsbH3IV1eo27Ht37ipBVy0P66XqK79vvNvsWM0C4/7VMeBQ6Wuyf dexrusUg4cn3J+aXsr49+zOQp0V+C/QdQ/9d8GwBXzp4N4E/AXs6YV/9pYq9 TtjfknEq/mmrinvp/1Gc02vOpwny9JFnf2fr56zW1UVnRt9kw/mlmtiI+Ynd 1pvMshKGrZYP/Vq+h0i9EhneM7Cr2Nlnd9vIxKEiv3BMgOXQf/wwfF6+6X1f YfPh976R3b3EvQ5lW5inTRa/h46tUBIwTlQITvMs9XSaWBWxuMupnf5iTYD/ 2WKjmWLkrMW5gQsmiVl8+zDfnPV57P+EPA3yJ6MvD/1nwBMPvr82Ct614B+P PVbY15axJvb3xB8F+Ge6iidkfC8hD2oS/zLOznFOw9Dnhb5WOT0bj6vaU1Ri DOsa4DPSxFPEF+47LZ6PEAntt1m7LZ8kHpp/WRF/b4KwHW7fwdxilojo5Hhn zz/2l6xZEvWo2TxxbOeB2wvcZ4smc4OuvtPMF97vq08dM3CuMLFe9q7H4Pmi 7uNtscU280Rzvnsxf3aOsj6O/TUiFXlbkf/RQ9H3G/3dwHMBfFHgraayYwL2 LcXeDOyPxR+2+Ef/8395VfKHPjyjd0nhl43EfzjxH805WhF3SeBZDZ5FAR67 N2ZOFkcZz7pUPvTBLVgYj462y+43W3SpuKpwad/5ouk174ZeFf65P4zds714 8Bxhvs1m35OrIeJc0Rv3IE2gGBnpP3WK+xzhFLHNyOaEj5hiuGpz/ozZIp7v LlHKvDvrh7P/oq8izwL5fdHnjP7P4FkBvhDGbeDPxB5j7DuGvSew/yj+qIJ/ XFR1SPJzV3j8BPwtee08vHKT/EgnP75zzp6csyl4dfsrePd6vO0S4DxfvGGM Nnp00Nd/uljT99bUJ01miaIB8SHrcwZpjbo+3t0g0U2s7t66ms+I+dpBU5ZO OPPdV7t+5qUH22yWasfWKNdqoHWgtj/f/SYp88O6KetHaJT9ei6KvHvI90Df MfQHMTYE3xDweoO/fFPFngvYdx17b2L/GfzxEP/MVdVtWf/GUydPUB/z4Gtb +LopvBME78SRP4/In2bEQRhxkII9xwwVe4qD/vh2vemrvRCsjF9Mel7eU2Wl tur0XftyzJZqnzYx0bzIXKv9tOGsfuvTa7QBWlF8qut67Yh3T7aEjYnSWvEd sFGZ/8p6qxnK/uF1FHnmsxX5jnOVcbexon8neBqAryZ4TeGbHdgzC/t6Ya8D 9l/GHzn4p1DV58j+IpE+5Dz9hyl1MJE6+Bg+1+uo8PlReCkNnnPcruTXPPK1 c0clTvr1U+Ikdppib6m6ir1z9340b5mxTluJ8WiXoetjYqO0XglFfQ1HrdPW GfNzU9ChZdqCv7n9f+2O0nr6KN+dmb/A+lHsD2Y8X1uR35HzmYX+Hd0VPMPI f3/4oCm8+gt78qhXf7D3NPab448L+Oemqi+U/Vs8fV42feI7+out9Bdh1EkL 6qQTfO9AfdgCrx17ovDWnMlK/mWSf32Io6XmShydj1f8EYs/OiQvrzJ12lyt XqoyBg582MR5QajwvPT68YDrVtqJg5TvzynK/II0ZaztqOz/jLyKyM8nrlN7 KPrd/RU8RfBq/hoFbxnwm2DPIOxrir2bsL/aDsUf7/HPKlUfLfvjtvTRefTP W1V9myP9Rzj9hz911IU6+sJAqQcNVir1YEl1hdcezFJ4rfCtkp+WJ5X8HEOc 6RBnG4sVf0Xiv7MfG40tVxIlmn9Sxqd8fx6gzFc6qazfw/7DyGtI/reGD2ai 391QweO1RsEXS/3StlTwr8GeK9g3HnsHYn8G/riHf0xV9w45bsS/V1j3nngc j5y+nM8C9ERyfqXxowvx2Hm1grNhoHL+miDFjivEx2Xs1CM/T+CHeklKfMXj xz2M9vjxMP7TJS7diF8/8n8L8ViE/CrE/yrq023qVxF1fzp4s/Hj43eKPWtl nGDvYOx/gz/O458s1T1NxmUE+f6LuK0HH8h7wy34ogVx/wA+KaSP+7RV4ZvQ p0reGHZT+EiHvHoNP04g7zbCZ6nk9R3yU5+8PY1/fRKVuPvurXxn4b9J7HvE eAl5a5B/GH7shf6TnRQ8UfBOJPxYg7zOxJ6W2PcNeyWv2eGPAvxzWnWvlTwZ RP25AY9epz7thGctqF8l8HA69a2AOuNO/dOnzmyjPpoPVHi+LPXajrpqSz2Y jf3LqL+7iKtA4uoM+fqI7x7E8SnWJ7LfCrkL6QPezlH0edNfvQfPJvD9vQpe 6swp2b9jX1vs3Yr9+fijEP9kqN4BZN12pR9Ko64fpF+qS93PoJ+aTl9Qmn7r NH2PEf1YR/qKBPq1bvRxmxi/Y9/H/op9TsRNF/rHGeTjFPIxDl5dCM+tYr4S cbac/eXw13r6nvLo02ccCB4T8DmAtwp9z1v64QHY9xB7+2B/Iv44hn8iVe8m so+sTX9+nT5zH/277MP30t9n0Kdm0f93pI8N5X5gRZ/7hfvDHvDbgT+auLAi LqrTh/ejjo6jrtqEKzw2zkCpDzVWKd/W9AEHWF+7i7L/MvLCkd8LfSfRfxc8 tcAXDF4v8Gdjzz3s24W9Z7Ff3md+4h+N6p1J3muuc7+uwL1nHffJGO5Fc7hv 1uPeZMB9dAH3qmWM8r41Hnzy3Otw7nXJfw351AqeagtPdYH/X8L/XYyUuvqC b3vmW7Be7vdD3h/y1Qh9bdHvDp754IsE7zrGBthjgH27sPck9q/BH595l5v0 +b/vcvKefY33CzPu4S1433jEPV3w/uHPPT6Q0Rr9FujfwbnK+1UJ+TJGdQ8q gIcOwu914fcm9AFh1M1o+pHlfMs+z5b1Z9mfj7wU5Pugrwj92eDZAD5L8JqB X9ol333ssDcL+yfhj174J1j1jinffaJ5f/zLu5Ar721feXd8xqhBfh7yp3Nu azk3+S71lXw4Bc9YwzPyXSsJ/v5JXVxBXRxJv9GTfmO0qo/rxfxa1hezX8pz Q74N+grQ/wY8h8F3Wb4/gr8Ie+S7YAPeyywZJ+IPvXf/73df+Q55+Y3yzvsm S3mnvM4YxH4T9rflXAw4l2zi3Rg+2AqPZMIj8h01HX6+SN07Rt1rQD+RRz/x hz7tEn3aEfrfi3x/Yf436w3Zfwl5l5Av39FT0H8ZPLvA9478jAB/a+xxwj75 DtsF+8fzfiv/vwhTvZOr38cXvfnvvJfK75mqeI5Tvd/3VvHvClVdu6jqF/JV fViKqr+1Ud0b4tT/a6juudmq94Ng1buMm+q9q7fqHTFG9T7bSfXuvfZ/+V/h VMCwbNPLhm3aXus5PmHSRLuHDUKzD76Pbtt/rYPrSp8Y+9AzLeZ5v1rQbv3c xavST2raL9TpMLvBxRvt302aknFwvbODp86ebQH7oh2iBj3p4L7gkoPzyMTh VZML//2W83K93C/lSflSn9Qv8ajxdRg67Ouwhus0x+71nt1vz0nN3OcT05v9 KtKk2xvHh33TFeHeA0vaLjMVUeVyXc6ktxGOOR9+9nriJOZ7dxjrZeAqNMci 3SoWuAmnmyVjk1oMFYLvhcx3Z/1m9kciLwH589CXgn4D8Kj9l8782fzGA5Mf v9T0GN/13aEtVcVSh0U1JwxpKbra94m5+rO7mDIldLLlGQ+x/FINnfe1JwiT OPsd4bumi5sh1Q/PWTJHzLz6vbefY4jI5bs282Gsn8H+LshbgfxO6CtA/xXw qM93Afa0ZH3pz1HXd8+yFQEVJlrMeNVfhL+Me3oheJzot6Ry8yVec8TACu2K 3iYvF293+V0+krJWePRaGW+XEy26F1U2O2y9Vbjz/Zr54awfwv4VyBuPfB30 dUN/KHjU8XcC/wdi3zj2W0576p+x2F+4tNQEXh0d9s+9dMzQ92vWi5yukaOc R+wWx/cdXOQ197CYGhayZorjUfHwie/gzAvHxCS+U5nPY/1T9rsjrx3yJ6Bv A/rPg0edHxHES2vOYwH2DkDeg4dDfm0+Hy3yduf3dWhxSIwaP+l9G4tkMa/l x1qjXbPEqZBRHkvaZYubcYlmI/ed/fd7DvMjWP+U/Q+RNxj5S9HXG/1bwKPO 343Etyfx48r5PMT+QuSXDRk79NyfNLF3bqNBu/afFa1jAg4+PntVRO92nRBh mit6+rr1WVg9T2zj25b5Q6wvz/4XyHuN/AHom4f+GPCo+aUH+TiHeHcjnnI5 r5H4Yw/65kQvX2XZ+rrQHWw0/VDRTdHn4+xf++feETOGxtZfqskXA/jWZ34R 6w+zfzTy7iLfA30b0N8fPGr+WwJ/GJKf74j/ZOJrLudniX8kvvCRcdq7r/JF c4f5nlNsCkXy3Oo+U3oUitZ8RzFfmfXS/8HI0yL/Jfoaoz8cPGp+7gXfXYRP ZL7OIB+0xNs6zrMb/rIET3/rnCpbzhSInuN3FCQYFwh3vtsyP5D1Mj4ykTcN +VLfI/T3BI+6fgyAnyfAf13hl/vkbx75IYi/iZzvcfzXA3zTDb4axFTPF335 1jIfxPou7L+KvALka9AXgn6JR13fnMB/FnsGY98U7M3C/jX4owv+Mcdf3fGf E/gG8t2GeRfWr2d/CvL8kT8QfQXod1b5U57/UuKhuio+04if2cRTC+KrDPG2 gPiTeOPwXzO+lzFfgfUy/2W8n0D+M/Q1RP8yVXzKfJL1dz75Noj8u0E+upGf MeRrEPlbGv1d8ZeMBye+pT0hrD/A/qHIk/zfB31r0e+kynfJT9vhK1/4ywU+ ewK/3VTx5z70meMfGQ+diT95vtbMx7Jen/1FyHuJ/F4q/tyn4k/J9xvg/07U A1kfBlEvZP14jPzh+EPGQzrxdo38kN9y3pv199j/CHkDkb8Yfa7/Sz2S9fMC 9XQh9XUi9VbWX1fkFUn/cl7xxNdE8uEO+RvAdwrzt1gvz0fWy47Il/1ENPov qeq77EeW0J/Y0K/o0r9MZr/sb/pwPkOJp1fE/xDytRv8MljVLw1T9Uuy/wpE /t9Pij5v9Eep+iXZ312m37tC/yf7wUjsc+I8xhA/y4h3Y/IzBz6ZAf9d57uG qv8MYn935K1BvgP6nqA/S9V/yn65Pv1zGvOyv87G/zJ+Zb/iTD6ugD9kPXOF n/vwLef7sj6W/ZuQdx35a9B3D/2Oqn7+/8r9aEOI6Y8m07Pb3Aj0j0xoHaIp YJS/v9r4vU/v/DjNtwijBB/9WI1/4hv9fi56bc18z5XNj76h2Xswocgv74pm 3aLcpJLARvaPfuR+8Dj+VfPiqzDavuONJmPx3b/lXxm3Swl1aT3xrIH49aZy DW/X8qLowgYbs9yidkeO6GSO8rUQEc9/31jTt54Y9tJz2++Dq9ovihkev3Kq Ruj3PHetaJeVsD8T72vY3cDBrCTKvfqE3uLro94vTAe3E/tnNjFLOjbdoVpS rVPrWw4SWueFHmMHdRaPPE6LtHsnHDocfWI6MHCIuFT3WLnsUo4iy673z1VO tx0c+F2ul7/XQM4X5Es55uitDh6pdwk4N4Nf4kzDrh/YK+3KxA/38I/0wz38 tgF/Sr9JP3/E/9LPupuUc0nkvOS5PFKdnxzlfDFyfnCuVgeHjQsuvqVxYPzw 4v6hNjp/NVWHxo8xevNTMz5tSzWrBaaia+nn2ZpntYXfsEEx+qc6CNtWtz6Y h7cRZh++tdsQMUAELz2z/VatnuLX/TnrbX97i+YT43tHnxoi2gZdPB23copo evZmReuP3qJpNbdPLbyCRI2qe1elT/cTrd6WKxw8fZ6wqn50q3MVf2HDd1Xm G7O+GfvtkNcC+VLfPPRLPDbgGwvezuD3xZ7y2PcNe9tjvxyr498yq/8b99L/ ezinupzPuyGKvC/IO9yzuv6fNg3FUUbrFlVcSm11FMV3DUqiCzsLzxqmRwJ/ jhBXXixrOzV9iEhfPXTAjy5TRcivnSt06/iLhjo9DkWXChMTzx89Mz43WHzW O7fkd7k1ovbFMXlx9xaJjM7Gvl+rbRRzr7ZIs1u5UiyN1JkyZ8kWsWHqGvtC ywixhO8g5tNYX4v9X5A3BflN0LcU/VrwSHze4H0FfmlPIvbFM5Z5qdhvjH+b 4Z8DKp6Q8V1AHlwn/q05Jx/O6bFKX0JiVM+yczzFEcZLDu1HrvcNEp0Mx103 bTFTRMbkp25sHyFcpx5c6tJ8uTgZl2JSxmC7sOl4YGVf440irV3cjOEz9os2 ry2Tm3jEiH1u9p77gxKEjrvph5zZ+0SqjnPW/dHHRJhRettP0/aLJL5LMb+X 9fbsz5DykC/1DUL/FvB0Bt9t8CaC/yijLfa9wF6Zd/3xx1v880XFq5I/PsIz kmfNiP/hxL+WcxzBOXYEz3XwzC08/fuz/hoxjzGn+qrclZ92iZPHb7XvMjJG hK2Knv/icaJ4eXK+240W8eLwc5O3z5ZkiFV7Ora7ejxJ5Bt17VQSdlq8NRze ediyDNHlcVF01d5nxXOHa4Epydp/v18xf5v1q9mfiLzXyF+MvtPoLwDPIvAt ZCwAvyP2jMe+HOydjP0a/JGLfwzf/rcOSX5eDo8fgL8nwCv14JUZ5Eca+SHj bD3nnAHeG+D9UPNshQ4+x8Rnxp4uhc2uOJwSI248fVa5TJaY7NUq1f7tRdHM o9VXvbPnhIXrzpbPv+WIlYZdhyduuSwinceGe93OFQUBUzecdL8qovhezrw1 65uyfyryRiJf6vuG/u+Md8B3Drxbwe+BPZnYF4q9TbF/Bf44j3/2quq2rH/l qJNzqI8NVHztC+9InrMjfzLIn2fEgYy7YSp7on+br4jfdFlsZvw+f+ji6+fy hEmX13Wv3cwVFmfrnnKacVu0CH2+4PSBm2LxtfabPtbIF3bDY55OWXfr329L 5m1Zb8r+0qGKvL3I38PYF/3Sv0vB9xa8V8DfEXuaY18g9uo+UOzviD+24Z/G qj5H9heyD5H9h5mqDtaEz0vgc8lLqfBSBPkl87URceJPnEh/leC/TM3Lrgm9 74h0xhoH9m4ZlVsg5nyuNunbsAKxcljRXZ9/7vHB+21W5/3z+2q+FzBfk/Wn 2H+GsRT+rIe+aeg3B088+KLAewb87bDnB/bVwd4O2G+HPzrgH73H/+0LZf+W SZ8n+zs9+otm9BfTqJOZ1ElZD2R9eA1v3YK3FpF/Lci/JsRRU+JI+qs6/jC6 X/3FgDaFwpDxdlOTSnE9CkTf9OBV2x8XiEK+6zBvxlib/WHIs0a+jFsr9C8F zw3wSbwHwF8ee05jn+wLLLHfFH80xD8XVH207I/P00d3pn9uRN8m+7iV9B8L 6T9CqaNp1NEi6kEn6kEOvLYKXmtOfs4hP6cTZ8uIs9746w7+ajk9N6XZkPx/ x1aM95kfzPp17J+PvCXIt0VfBPqvgqcd+O6BNwX8C7FnGfatxt622N8Jf/TD P7dU9w45puHfTqwri/+tkDOF85F+LM35SRzPON+O4Azj/FdiRwPiIwg7ZxA/ i/FDNeIrDz/lqfwp4/MuY23WR7F/oZSH/OboC0f/QvDYg0/iPQZ+aY/sU2di r4yj+vjDRd7fVPc0GZcf4Ed5/zOFD8yJayNVv9xW1fetgG9k3tSHj5qRV8bw VUPy7gR8VpG81GesjH8W4R8n4k5+y7yvxnoDxgzk2SBf8qPsA2RfIPFJPpd9 qJ3sQ7FP1oPm2N8afzTAP7qP/3uvlTxZlvrTBB5trLq/yXotebitqp9+Qv3b C4+7Ux8nwPOyXn+lznxhTMJ+6V8Zp7OIqwDydbbkA+absT6F/T+R94sxBn2B 6Jf91gHwvQBvOvhl/yHvWROwV9bZ9vijPf4xVr0DyLq9in5oOXV9iupePE32 U/QFA+m3ZN+TTj82n75C9o3d6DucGWXf44d9RsRNE+LGlHxcpuLVFXzLetVC FeeyH92J/N7ok33XD/AsAl82eE+Dfwj2NMK+2dj7B/tX4g/Z98Sq3k1kHynf iVLpM61U7w2n6e+z6FMF/X8Ufay8z8g+/BZjCfhlXzmcuDhEXDQk33LJt3nw mKwHF6kPDnwvUtXdxuyPQ94oVZ8o++/b4MlnlPeZHeDvgj0nse8S9jbGfif8 kYd/5H1G+k/ea95wX8zi3qPhPunPvUjeN325Nx3jPirvqbcYQ8En77Py3M9x 7q/IJ8kHkld3w1NPVfx/n7p6TFXPJC+Hsz8TeVL+GfSdQv8m8Ej/5YP3LuMJ 7BmHfa+xdyr2D8UfN/CP7rf/vsvJe3Ys7xcvuIeX5X1jHPd0+d7Tjnu8vXwf Qb98P3HgXOX9Ub4TyHuQPTz0FR6yhd/l+80vN6VuhlE359KPLOL7L/OprJfv HPK9R75TmKNvMPplHsl3Cj/wJoFf2tNG9e4j3yks8cdP/JOheseU7z6feX9s wLuQBe9t33k3K2Y8gfyxyH/DuU3g3C6SD/JePgee+QnPTIK/28Hf8t1Lvj/O ot9oQ7+xnj5Ofst+pKmqj7BH3iTVfW4h+luA5yr4ZoL3A/gDsScJ+8ryXqbH OAx/dMY/+qv/++4r3yGLeOetyjulDqN8v5TvkvIdTsatC/F+iniX77jH4ZE5 8PNS+Lkldc+CutecfsKYfsKYPs2RPq01/W9XvuW8XC/fcZsizxL5K9C3AP2n wOMAvtPgHQj+d9hTE/uaY6/A/kb4oz7jXdU7ufp9/LFq/rvqvT1NFc9lVTxR VcW/e1V1raGqX9BX9WHq/vaO6t5wSXUfK6e655qq3w9U7zLVVO9dFb/99x3x qup9tq7q3bvJ1P/3/wppY69N3ZRpeOxjwNvStiMmHnexXrmoyYPoEzEvWgas GxKTNLWqyQqj+wuSnx6J8ko7pEnJqLxuxqb0Gyk7jq43jlvsnJp1/JVOrfXR qXXjyzoETr6UWqlM4/Hl9xb++y3n5Xq5X8qT8qU+qV/iUeOz8DlaaBu1VfO8 8OWe+ifPaKbYrRqQtP6ZJuPG1psnm5URV9Ma/A5LMRGHnq4KSciyEGWmbRr4 MqKd8Fh/fPkGS0dxsLV3zvub3UVw7UqLz21xFmv47sv8r6nK+nj230OeFvlr 0HcD/XbgUfuv1l1lvnzlMWbT419rKoevuVi5TCWRNi0nx66audDtOT9/x+QO oqFzSgXdqN7ilYNXhGORm+i/adXywsqewr/ZiFydQG8RsWFBx0pHfMQ0vgcz X8j6bux/5KzIy0X+pZWKPjf0S3+pz3c19hxk/dJZHX6ENm4hXNbfTO6W7yh6 v411PDVhsGiy9MPXmuHeYuzxRsPtJviL0NjyfX2fBIqUHvvK2MyZLgZGeCUN GDxDZPE9hXkz1ndgvw3ypiF/JvpeoH8GeNTxdx7/p2DfTPbfv/NwYcT+IaKS 51KdwW/GCU3V5j83XZkqSrfOs0yaFyQqV/IO738vWDTruXeu0blgsWb9tVoj xwQLm97K92l9ZT7ZVlnfhv0myCudr8j3Rd8D9Es86vx4Sby84zzqYW/RKEXe grjNCTNXThcBG+26XosOFn9GnN/x9FWQ8KkcuqxV8BQRO8zSoNUlT5H9Kq7H 0ZkDRKab8u1RVZn/MFJZX5f9Qcj7i3xr9L1H/zPwqPNXxncD4qch5yPtd0J+ xVK7XlUJmClGHpnsWPjBVZz8ZnJoTtNp2o3ujtYxdgu1rVouDk/wWKw9PkT5 9vyizJvvV9bPZP/dDYq8dshvgz4X9Mt8VfOLHvl7knhvSDzV5nwvD1f8MShW 0fdxSb+RJxvP1758PSan6ogIrcHIY2+SYyK1Fc+1Ni78FKntM0r5XvtKmb+2 WFk/epey/xXn0Qj55dH3F/1f4Qc1/7nBH93Jz7XEfx3iL7CScn5D8F8M+AJK yrm9vxWpdTpVc8KBXSu1o+strvi0wmLt2DPK90Hmj7xR1t8sUfZPIl5iiN+t 6PNF/2DwqPl5FXw3Fz65Qr427qXkwxIPJd5iOc9y+C8UPK9TJtru2dhLO6qX +dfjl4PEh+3Kd+5pZb6E9R/ZX2+IIm888qW+Aeg/Ah51/ZgOPx+E//rCLzHk b42PSn7sslTib3m2cr5D6yr+c+2t4Kv0o171Or9Xidsuynd4bebPKuuvs1/v tSKv9gZFfnf0Sf1bwaOubxHgH4c98dh3GL7JGKzY38JN8Ycd8WdyVvFXmZ2K /4z6KviaH1K+c/D3Mvy5n3zbOlyR1x3+ykDfHPSHq/wpz7878SDrx3zixYr4 jK6ixFPdH0p8GRYr8TaW+NvC+Rbj3/fgu8F8B9a7flb2ZxGfv4jPMPRNRH9H VXzKfNIh3y+Tb7XJvyj4uRH5mRWj5OunRUr+WpMfK/DvTfK9Ht8J5HtamLK+ /SFl/x3kpSG/FfqeoP+dKt8lPyXDVx7w10D4TPKbEfy5/W/M//Cf3h5FX0X4 cS35MctGiT/5HUB+PwZfJ/jzJ/zZCfnW6GuP/usq/pR8XwT/P6QeNKI+WFLf sqkfWuQfwB9liYdPQ5V46/ZUyY8W8ENt5ntTj2Zh73Xk1UZ+O/SVp9/5qKpH 6vp+lfoq6+1J6rs18hph/xHOaybx9Q5+MYMfEvg+w3ywjB/2d0TeFeSPkP0E +k+r6rvsRxbRnxyiX1lI/+LHfnvs7STrG/E0nPi/Tr66wS+FfC9nXpf1sj42 RF4A8ieh7x76d6n6JdnfldDv9aD/O8/6m9j3jXjQJ35uEe9e5Kc3fCL5L5Bv Z+bvsb43+/U430vIv46+9ugvUfWfsl/WoX9+xnyo7K/x/2PiZQ/xLftzd/gj Ab7bAj/H8t2H+fLwiZb9L5CXg/xN6PuN/qWqfv7/yv2ozsmWJ2zGZh+7OaT/ bZ3ZizU5jPL36bori2s4H9WkJT31OZp6WNPiu9/1uULvRFPjx5tjx9/WnGwe s+LN2xzNupOVil19GyWtXXgxrcqPL5qLy4rONyku1hz7/snStNA4+b7v9Z1W I6sJn0OzfA6llhG2JVu/rTtTlPzzba3eUSGNRJpRshiYYiTWWFq8r7BxVcqe 9cdd27yyFaN3bAs6sraR8MrecnV5e4PUvWtC9bLmaMScj/5DLcdaiWX1Ny3c uHd6qveIEzbBmU4iMMPS0XOvrXh+18S/8OqJVMfqOfu19Z3FsIeZ3RpbtBFV 9ay6TbS7ndqR36eyXv7uiZzJyJdy0tHbHzxS7z5wasEvcZZglz/2SruK8UMm /pF+mIbf3uFP6TcNfg7C/9LPozmXL5yXPJfmQ/97fnKU8y+Qs4D9x44fNkoz LtDcZyxVv0b0/Lm/NSOSplRPvPFD07lN+o1dpWoLhzptun/MMBL9HpyvvOB3 KxGwfJmP4WcL4dy5TuTQz11FcMfM578rdRLFh3ptL2gyQLTNchxc6aOzqGvv 66Dd6iHiLY4MCdMbIA4HzS7766uXSGkS1dGlv5vQKxz112iUj/AeueGUx2t3 8bVA+b7K/F7WH2F/WeRZIv8h+pagvx94/MDXGbwa8I/FHmvsK6qn2PsL+78z +uOfQFXcS/+/4ZwMOJ+ayPuKPM9ff7Nfj6grujPWc98SHq1jL0JNWmy+3NZO LLs3t98Rh76i4+D1m/s07SmsKx63yI0ZIQadcKpTttkQEbKi04wtM8aJwx/e VL9s4y26bHv+MOrjZJEe6LSj7Ivx4r5xo5EOE6aJ2I1tDDasDhDN+0ase9R0 hpg3rWXnVbUnCw++A5nXqamsz2J/K+QdRX4A+jzQ3wU83cG3B7zjwN8ce8Zi X3/GN9jfD3/0wD+3VTwh4/sKeeBH/NtxTsM4p0D01UVf6ljnxIrzXMRpxkZr T1yuVHG0+NM6Kr7Xq3/65bkf3evUnSwKp65+N+D3RDHbPeRw/R8zRMPy9W/t GzdNZF6r8O55nWAxL8khsvW6WaJp1UGxXyvMEVVWDE0z2TJbbL3Qs9miiGBx rce5RvqN/ukH+DZhvj/r+7H/LfKqIT8QfdnoNwbPL4kPvBfBf5JR+jMYe4di f2/8sQb/5Kp4VfKHLzzzDH4ZQvx3Jf5bcY4y7r6AxwQ8pRe12pr8TzzoM356 7vrqhHOQ2FXR7k9c+D9+SlzXxz7/n/vN8tpffX4Gi9wszzl5vWaI7UNjp5m0 /ccvg6N7/uo6Xgy6UXIros8M0eJ8Y5MrHm6iyF+zxdJnmriZrXz73VTme7F+ IvvbIu848osTFH2X0V/hhYLnVZiC7w+jjer8I7GvE/b2xv7p+OML/pmjqkOS nxPh8a+Sv+EVyXPtyA8n8uMk51yDc5b+MgDvsK3Zy3uGBouy25Tx2dDTj4Y1 myTevGs/74J5oLg1sUOlTQNHaX3czLfPvW0vSmztH7ntmqetZRh+Nkfjp/Wz 7txpy95F2vq1Tbw6HwvUetso36eqKvOD7ZT1Vp7Kflc/RV74e0V+wnBFX1dw 7GdsCr7N4DUH/1PsaYV9btjrjv0R+KPMO8U/x1V1W9Y/T+pkNPWxGXx9D77e De+Ewjtm5M8K8mc4cRBPHHhjz0APxZ52hbpP1tb1094uUMZdDUesaKpdqh3/ p2BlUvQirUOanpljyhptq9iPReuPrdI63w2cuqUkUruh1tnSk/au1lbl22+f Mr+K9RHsN22kyFuF/My7yrhomKL/MHjOgm8CeCPAXwd7FmBfGvYWYX93/JGE f4ar+hzZX8ynD9lA/3GIOqhLHbwKn3eDz4Phpc3w0kDy6wj55T9YiROnACVO dmHvFvx3vGRldI/FkVpjxgkHe5RbbLRG29XD72CIR6Q25PaMVT6vl2i3hw20 q2+4Rmt7R/k2Z74f6+ewP+ebMj5Ffhn0ffZX9Kf1VfCkgO/oEAVvMfjXY09r Vf1zwP4E/HEC/2xS9YWyfxtHn+dKf3ea/iKV/iKMOnmPutoRvp8H34+C1wLg rZMGSv6NbqPknw5x5kocNcQfA/BHj9ezix3bhWjbvlPGN2cW+602ChQ+1g4T uup5a6ucVr79i5X52W+UcSv7hyJPxukv4nYJ+V8XPEfcFXzjwVsG/DWx5xv2 bcfeJOy/gz888M9iVR8t+2Nn+uh+9M+e9G2l6OPG0X+Mpv/IoY5epo72ox6U XFTqQZKJwms28FoX8tOO/JxFnO0l7p63UvyVlKX462fezLb3xHKhuamMi24o 4zD82xX/9mf/YOTdL1TkF6NvCTzrD57Ecwq+PQEK3mHgz8Ue2V+FYO9H+tZx +MMd/3ir7h1y9MO/nViXiv/L4cdFnI8jelw4v5rgKE8d3XxJwdmrhnL+R7Fj EPExET/WIn5u4Id+xJeMu3enlNEJPx7ieyXzVYnfLPZ7Ie8DfvRA30z0N62m 4OmCH78Rj+fAb4M9A7EvEnvLFv63/++Ff6ao7mkyLkPId2fidjd8EE9cx8EX T4n72fBJThUlL4rgm1tuSt6spw4fIq8GwFeLZV7Da4/Iy6WMt8nbLfBhroUS dy35TsPfs1m/k/E9/PgW+Um/FX1H4BXDgQqeHHjHDD7vSF6HY89P7EvDXnlv SsIfU/HPaNW9VvJkT+pPFDxqRn1qAs+mU7+awsN/yyn17TU8vZr6dxUef0d/ o52g8Pyme0r9vEsdWMyYgj+rY38icaVP3E4iX635lnF3m/XZ+C+deu2L3EnU 7Y/UmQzqtfcpBV978B4FfxXqdUfsO4i9zbC/hazX+MdD9Q4g63YC/dAB6vps +qUn1H1n+qmp9AXH6beC6Rs20I9No694tEXp11Lp4zrR/wyj/6kxSbHPjziN b63Ejc1+JR+zyMd78FwdePYV9eoRcf7pl7L/C/6yx3+D0VuHsR79Y23uA+vA 6w/+XOyZhX39sPcF9i/HH8n456zq3UT2kfLdRL6jjKF/H0Yfak9/706f+pX+ 30ret7gfWNDn1mUcCP5Z+HcmcTGZuL1N/qeSb7Pg1fbwWCP68FzuM3bU3anw h5O7sv8v8myRXwd/9UJ/f/CYMpbj3tUY/L+xxxX7umGvK/bL+0x5+vBI1TuT vNec5L74knuPvF87cy+awn1zJfemDO6jbblX2TFKf0p8qzn3qZz7NPJpA/nU HJ4Kg6ec4P+r8P9f+oB4vj2Zl7w2m/2bkBeO/AD0xaK/IXjeg689eO0Z47Fn DfZNw155LxyKP37jn1Oqdzl5z37J+8Vs7uEWvG94c08fyftHLe7x8r3iEPrD 0f+Tc+3KuV4nX2aSLybwUHN4yAt+z4Xfjambgrp5k36kB996zH9n/Rb2y/ee WsifiL5U9PcFTwn4ZDxcAX8T7GnIOAh7PbBfvvdE4J+yLf77jinffXx5T2vD u9AT3ttu8m50ndEP+aORP091bk7kQwfyYQQ8I+9XSfC3Efx9nLp4UPYF9BsV 6Ddm08dV5TuC+VjWH2O/GfIOIP8T+vqp7sny/cEFvBK/tGc49n3E3mJGvROK P9zwzx7Vu698h/zEu28o75TTGN/jz9bsd+JcQjkXR+L9CfEueUS+d0yDn3fA z62oe2nUvYP0E2PpJ7Lp0+R9wIv+15XvU8x7sT6W/TuQ1wT5B9En3xf04LUl 4HsN3v7gD8OejtjXDXs/Yf9k/BHE2HXof9/J1e/jeap39A0qv6vf5b+oeCJQ xb+XVXVtpKpfWKnqwxap+tuxqnvDHNV9bK3qnjtG9X5wRvUuM0v13vVU9Y74 S/U+e0D17t37f/lfoUR/1oGIqn9az6j5xNswfJCdZ+DY8U6zFrYteSeGXFq3 3N7z1vAzwn1Cu2vhjSrEtTdvf2LLycz9lTLbl/r0+LBtdiuHgqEDnd26LnSI O9THesWjow7dN1R8N0LvzL/fcl6ul/ulPCn/X33ol3jU+GZ6lcrNyD+s6fR9 immVLjc1JXF+Oq1HfdOsd13SuX2cofgzM1DHf66VOFax9OjnNbqIuBtrVzZs 3V/cu7c84v74ocLMtVvz5xs9RfOqTT/VajhaNOD7AfNHWJ/Cfp1ZiryVyC9G X3f09weP2n/OzDfp7Jz6KfaXZvbOz6uXh9UX4eYWB/MqO4hGVVI7XnjnKsIt zmpEPR9xKyb0wtnIQHH3Tjmzs0vniManxoze4r1AdH+hpzn9d6Ew47uQ+Zus X81+U+QtQ/449LVC/0DwqM/3NfYEsH6e1d5vm7sIcXBntfnTt//jr/DBg79/ mSx0a4aXD3JbIPoMP3rois9qEdtvXp3DyzeK/iM1rpa1t4tw4+xp9jk7RC++ 98l51pdnf33k7Uf+LPQFo/8DeNTxF4H/Z2DfbvZXd/+QMcp8mkjMcLxaf/0y kRlgt0MbHi3GTDPY4ly4V5y3GNvIZm28uJ1/c6Zn5DHR/cIy94kGJ/79lvPj WZ/F/jTk1UX+XvStRn8MeNT5UZp4qcN51Mbe48i7M6ZGqe5G24VeSLXQHdcP C/3HaVWvjEoRcxesm/jgWJYw29jJopt3tqgUEp96KfWsaMj3POblemP2FyAv HfkN0NcM/XXAo87fJOJ7IfEjzzcF+ysif93LXwYmNTLE3ffzk4ennxVlDjz5 WdrpqujgmlEyN/a6eN+kwT7t4lzRkW9d5p+xXu6XeM8jX8bDWvRngUfNLzJ/ c4j3vsSTL+dVEX8Uom+5Qci6gCs5ok1yC51NjW+KiiPyc0Ojb4uB7eIGeLnf EVX4bs98JOufsr8a8qYj3xV9j9B/Ajxq/iuCP/LIzzjiX8aXPN+f+xX/2KDf 5MXs6CzdfKHz7EEbv7kFwtxkX2/z1AKhz7cZ851YXw7/BiPvMvJlPr5AfzF4 1PxsDt/Vg09cyNcC8qEu8daG8yyNv8qC517Qi+1jDxUIncX11vcdUCCe8F2Z eelfGR/1kXcH+X3Q1wz9TcGjrh9W8HNn+G8F/NKF/K1Ifjwj/npwvmb47/ci BV/BqQf9OhzPF3rgtWDejfWv2V8OeY7IXyr5DP2twaOub6bgr4s9PbDvJvaa qvz5d7jin59PFX/l4b9f4H3Etzz/yvizHftrIy8P+d1U/myi8qc8/0eq+JT8 fIH4mUM8/SI+rYk3feLvB3jr4r/S4DNm3p71Oqr4PIf8Xeh7hv6nqvj8/8v3 seRjOfKzgHxdRv62RL/0rzPnWwr/tWZ+Fesfsr8C8vyQ74y+e+hPUOW75Kd0 FX+Wgc+SJb/Bd6vgv3vok/kv40HGr72MD+YfsH4j+w2Ql4380ir+PKniT8n3 evC/7A/qUh+SqRf3qB9VkF8ef8jzMyHedMmPWnxLPqvO+mrsv428f+sn+ixl PVTVI1k/t1BPl1BfY6m3tai/sn7K+iTP6zTxJfOhM/mby7eM7wmsT2X/CeTV Qf4u9G1G/1ZVfZf9iOw3fehX5tC/HFH1S/J8ZP3YQ/w7qfolZ74PMC/X67Hf FHmJyJf9WRT6dQ6r+iX6uwH0e83o/6ayfq2q/5Txe4N4v0N+yn6zm6r/vKnq PyPZ3xh5q5Dvj77O6O+j6j9lv+xO/+zE/Cv8ux3/GxEvycR3PPko+UPWM2v4 uTnfz5lPZL2W/bWQtx/5pfDfOPTPVfXz/1fuR+kpM8PulTnSZromd6924gbN FEb5e6mH6Y8zP57W9O3m3K7rNa0msiCz6vY1H+zq+OsWnar2QtPCfMD4QyMe abIa3nh/oG4l+/1iY5i5Z3lhNiIjZMHuP5oLF7vf94so1c7YzayMoWtDUVC9 QfMHD4xEUq3LEzvWutqukvffWNHTXjxfFJXwYEJz8aLU1guHW8xo/yjv4fB3 ds5i2AzL1S0d2olTRh5XzhX+bL8oPqRiq+xBYqXt8vozDbuKzLMz32WOGuXQ QS/iwIydI0TVj3tqJP52Fi+CzMWSxTscLtb4G774oJcY59Mjat+g3kJc2h55 O+ekw3l+r8J6+buUI+VLOUvROxI8Uq/EWQx+idMIu25hr7TLBD8Y4R/phx34 zRR/Sr+Z4Oce+F/6uSLn4sV5yXOZrjo/Ocr5DsiR+7u+bOff8tIrTX/Gb/42 7sNDqoqlRbotukdWEhsOF3t7HLQS9nEWY8avbCZihjyy2Lqgu+gQd9UtpmoX ERETv3V8hofQydu56OLggSLvyrydoupE0enKmeUXK4wWw82cqy9eNlNUGVq5 /IbPE0Qv/68GXRfNF0fy994MbBAoNhVFRu9ctlA4dQho1ObkVLGR7zjme7K+ Evs9kNcB+bno00V/OHjagW87eG3Bvwp7grDvPfb2wX43xir4p78q7qX/a3NO tTifAOT9QF7ihEcLr3S2EamMxs3GnK0R1lfMuPtpzo5PvUQlJ8dKtyPHCGfb PRP2GI4Wd+oXWJSODRKXgg+0XXlzqrB/4ZLSqd4yccNgwr5Nv0LFi65nf50P Xis2thgQ9rPLCnF3egOr7OZbRPRes+PL/daIxMRaf+vM2iHafNZG7X8cKeL5 3sh8Puvl/lfIu4V8B/TloL8QPN3BVxW808BviD1J2HeM8S/2L8MfzfCPuYon ZHxXJQ+iif+mnNNSzskPfUboK5mcPe/KirHiC6NnufwvD1fMF3EbfvRxHDdP vLN/Pcj2ZaTYv7WmZkmN1WJSnwk93HN2ilaXKmp3tdwiRt6O+tHc6JCo1WFe wO7s3aJ9jfEXYq8mipAtDfI+VT0gvI2v9vpw+LiIaulXMMDw0L/fc5iX62uy 3xN59siX+g6g/xN44sE3Fry/wP+HUcZHIPauxn6BPxLxTxsVr0r+uALPGMEv LYn/LcS/4BwrcI4HweMNngSdLlH7568VRxkrj+r2opb/XrH03XFHw/O7hf3+ kLbGbY6J2AVuaXvmJ4hmv4oMXFdmivSgHjv7vE0W99yuvP914bSY38l49Pnw TJGoeRwd6HNWXHr4bL/LgJPiGN8hzN9nfSb7LZC3H/kO6AtHf03wpIBPjuPA n4w9BtjXA3sPYb8T/miOf96r6pDk50J4XB/+/par8MpyeOUM+ZFPfuzjnN9w zgvBWx28th+HTdh75Lhozejz3btct8hT4t3uIR3S/bLE12/+NY4dvyiKd5Xs dD17TlxucGS2/oYc4bJi4NSWTpdFpUnth13tnyuMzrdqte7eFaHPt5y/yvp3 7P+JvI/IH4e+tui3ZzQG32rwfpFxij0PsO8a9m7E/krwrBn++a6q27L+9adO 3qU+tlbxdQ680x7ekfnjT/7sIQ5k3L3BHum/90JMjOpyWXxiLNXSZ/7Dlnli 79wOs0NdcsXwh9vnl992S4h6TrYRb28Il+Vj78Zb3BHOFUJrPb9wUwzgW857 sf4A+8sh7zfyfzKOR7/0r4zTOPDOBH9X7BHYdwd7H2B/D/zxHv/4q/oc2V8s oQ8Jo/8oSx0cQR1cD58Xw+e14aXh8FIa+WVOfj0nTj4SJ7uw97eVYq/pqIdj 3oy/LcwYiycbbSv6my/GfTGc1XR2vjh+oOaTIUcKRI/vNqNGlioQKXwHMP+B 9U3Zb8FYHn9K/8o4fQOeFuA7CV4/8NfFnvfYtxl7x2J/A/yxDv9sVPWFsn+r SJ/Xkf7uAP1Fb/qLddTJ+9TJhfB9B/g+GN4qgLe6k38XyL+2xJE7ceSLP17h j8qOBa/fXioQlRjdu/3dXN2/QMS+brNhd3KBGMF3DeaNGD+xfwryvFRxLfO/ H3jugm8eeCX+UOwpkn0A9rpg/wn84YJ/Gqj6aNkfj6SPvkz/rFH1bZb0H7If WUMdHU0dPU89iKceVIbXdOG1TuRnd/LTkTiLJ8524y83/FW15e5RYQ/zRXVG A0bpz3jWZ7C/H/Jk/vdAX0X0SzxHwHcWvF7gj8AeaZ8N9kZjfz/8cQv/zFLd O+RYGv/Ke8g+/L8BOZGczxH0BHN+nuCQ8ZgAzp6cf3nsaEN8OGHnKOInDj+U Jb4G4ic5VsZ/g/n2YKzO+jT2+yPPFfka9Ek/9gLPIfAFgVfin4s9sk/dgL2b sV/G4w38U091T5NxGUq+2xO3uvCBvDesgS8KiXvZ97UjLyQ/FpI3z+Cj8+RV DHw1kLwzgc8ekpePGHXwj/TvTuJOxq0+85IPXjNKnh2J/Fj0yT7gNXjugE/i tQe/tEfatw57+2B/HfzRD/+sU91rJU+6UH9knbGjPo2EZ69Rv2SdsVP107uo f43h8dfUxw/wvKzXv6gzcqyF/dK/Mk5l3HYkX+W3J/NDWV+f/bL+l2EsQZ/s rz6Ax1zVZ3qp+veX2JeHvZ7Y74Q/1uAfX9U7gKzbj+mH7lPXf+T+9158jn5K 9j176bcC6BvC6Mda01e0ol/zpu+Q40fse4d9Mk5lPbIjH8uqeFXyrKxXcv1u 9n9D3lfk+6JPju3A0x58EeCdAv5D2CPvk+ex9yb2y/7xA/75qXo3kX1kHv15 DfpMO/r3VfShXejv79OnHlHd/xK5H8g+vAZjG/Dbgf8tcdGIuHipyrdu8NhB eKwc9UHymjPzsi+Q+SrvM5+Q3xF90n9G4JFjEni/gv8E9jxU3cOjsL87/jDH P+9U70zyXlOb+2I97j1tuE/u5V40mftmNe5N8l7qy71qDOMJ8H0E33LOPZBz 30c+jSCfklU8NR3+HwX/Z1NXR/A9g3nJyxnsl/kp81Xqk/rfg+c4+OT9ejzj X+ypoXq/OID9vfCHFf5pr3qXk/fsJrxfHOQeLt+P5D1dvn/U4x5fn/EH+uX7 yQHOVd4fD6jypT08JN9nDOD3W/D7bOqm7AtW0o/IbzlfoKp3r5Enea4j+uQ7 yT3wyHcK6a/SUxT8ZthTl1G+a23C/q34Iw3/WKveMeW7j4b3NPl+LN8fv/Ju 9JoxHflRyJ/Fue3j3OT9fgX5cAGeuQ7P3FTxt7ouyn5Dvj+2UvVxcl6+V8r9 Up6Ufx998p68HTwS32HwzgX/DuxJw74yAYq95Rin4I9O+GeM6t1XvkOO4Z23 Gu+UFeR7JfuN2L+Sc4njXLoQ7w2Id/mOWx0eKQU/P4Sf5TvuEupeZfqJLvQT ifRpV+jTnOl/r/KdwLxgvXwHlvI6Iv8J+sqj3wQ8XcAn8TqBPwF7pH1NsHcI 9tfFH3UYZ6jeydXv49NU871VflfHcwcVTxSr+Pebqq6NU/ULG1V9WH1VfztT dW8wU93HNqjuub6q94NvqneZYtV7l5PqHbGD6n3WT/Xuve1/+V9hwau9XlPG /j26enV+puWswceHTUtp9sct7MTamz2XvspekfSnX6ffZVZPTB72y9Wt2L5p inOjo/38fLQpHyecmBS82jbVeofb0sQGYakH9tuI72eOpbY9lVBv6Zsz/37L eble7pfypHypT+qXeNT4TC/M7P7EMVFj8HJP50vNb2milw25eSr/s6a6tfm5 pq5VRdmsj887lWok7F1tGuz5YCvMd61IaLRVCN+tfi2SA7uLGcmFBt/Degtj h48VL/j1Ff58BzAv17dl/4+TirxvLRX5geizQr8eeNT+M2Q+uUOVbhke3zW5 Lz12jB9mLIotTZ9HulqLXC/rfiYZXcTLQQ+e+a3qL+aGRL8I/jZUGKbo2JfM 9RK+pdvuz433Ef3b6u9ZeGuMGMp3aebjWH+P/XnIO4f8i+jbjP6m4FGf7wTs +cP6VtYxFTK72IrDgy7eLb+ph9i6ZkXy1tAhol6pCtY/rvmI5f4xPd4f9BfN XneMcBgSKNqZFlm9HTNNjLZccN5Ef7rowLcj8ydY/+2v3v/s34C89chvjr4X 6F8MHnX8fcH/ydgXwn6734HR77I8RHY7h6HJJ8aLt2mNzJ/WmCqGtalZeXCX mWKRWcmpw16zxNHNd1uZ7ZopPEbVTB1bfaa4Ea18BzO/k/VV0pX9H5DXGfmL 0ZeB/rrEmzo/vhAvNzmPY9j7FXnl3i4NSp80TbR56hTk6zFL1B227+m3QdPF rRNbfLrr+Ik6NyO7v3k9QFzUebqmYc224nC+8l2T+dtDlfXxRcr+5sgr316R fwl9T9Bfm3xQ529L4vsZ8WPC+T7Ef0OQv6SFUUHZ9EAxa1DEh4cr2wiblMzt uXlTtfl2Kbc3Bodqw1Y3vLmpcpjWiO9dycp8TzdlfQL7NyCvHP5tgL4C9PcD j5pfqpKPScR7NvHUgfNyxX/NRin6TD5eaRxYNFd7uv6EXS/cVmhHNrX58Mhw tdZzXpesQ6NWa7+ZK99nTJX5wvfK+irDlf2bkBeB/Lvoi0B/B/Co+W8E/FGW /LQk/g8RX1+PK+f3CP8lmSn6l1kO6qU/eLX246aIGfZGy7VLAvvVKGq4SFvM 93cLZf4u9pjh39fJirxtyB+CvgronwIeNT8Hw3f94JOO5KsB+TH6thJvu+X5 4j838PyYf6lCVJCv1nDia9Njtr4iN0T5Tme+I+tt2yj7lxYq8h6Sb7XQ54H+ ieBR14+/7RV+toP/RsEvTWX+fin6n/zYFKHE3/wQ5Xwdpyr+S/VT8E1zGDk2 3W+h0BunfD9n/g/xoEf8ltNT8i0Q+Y3R1w79DagX6vo2FPyjsacV9vnjz1X3 FfvT8Ecs8bcIfy2bp/hPO17BZ71A+T4QrczvYb0x+1/BD2n40wx9k9E/R+VP ef7jiIfKxEc14sWd+DkEv8QSX9bE5xHic+dmBY/Af7fBL5iPIZ/qpSr7yxPv kn8bo68U+meq4lPmUxnyazP5lkT+hZCPD8nPe1OUfLX6pORve/Rvx1+6nG8F 4jGrgTLv+EVZ7wmftfFQ5J1G/n30bUJ/d1W+S36yhq+08NdP6ttR+PM5fNcU /lvrqejTkP+zWyvn+WCVEn/nON/kJGU+tK+y/jn77yPPGP7UhT/vot9KxZ+S 70uoR7IeHKI+XKQe1aF+nJP8jH+Tk5TzSyfeuv1W8m1mnvLtwrwl6w+y//Ib Rd475K9D3yP0G6vqkayf+tTT29TXCOptH+rvZeSl4995nFc48ZVCPkwmf6P5 DmT+MOs/sf848uyRvxl9X9Cvq6rvsh+R/clj+pUW9C+b2H8Sez8TDxeJp1HE /5MGSr52gl90yV9n5p+xviznm4a8aOR3Qt939C9T9Uuyv2tEv7eT/u8l659g XyHnIftHWd/+Jv9/1Zx1VJZN1/axW8FAMRC7kxBQGUVBwUIQMRDBBgQpu7Cw sBVMBCwUW0yUy1ZEBVHSws7bQFTsz++d39zfes61nvX9/f4167xmZu9j79n7 2HuGtZD5OQM+aQn/OfNdi/zdyPps9l9HXhry76HvAvrra/pP1S/r0z/XYV71 15Xwfw3ipTPxbUQ+usEfQ+C7H9QLf77HMl+D9arfqY685shfhL4u6K+k6ef/ t9yPsq98+z7A9GDC08PWP0zsN9tkMarfmyxML7Ux+5JNgWm35UNsz9nY1m1y Y8OQ/KOPTxz7U/vcc5uQXl1KhQ7Ks2nsnrmkq0eF4wuHzHjsdr+oMKiy70Dv 3EKbRo3XPLzbu8gJx+av79S2MhLrz0xedSyhonj7I9hzTkDqCS8923PdF7YQ seOds242ryt65vxYbdt08snaRQceDvllKW7Ne+xcekJzUVJvTt0pNX+dTDLu FBnfupv4EbPlUVBpUzFvVoyVy0jPU689hm0KsXMQDau7rjZe0UGUOzl85epu MafmBHbp5Puyt6jWLfjHMjsrMWHK1CLmq86dmsHvTVivfs9Gzm/kKzmJ6L0L HqW3GjhjwK9whmDXHOxVdvXCD38qS/8oP8zHby74U/ntNn7+g/+Vny04l+Oc lzqXY5rzU6Oaz0NOa/YbPPG9UsftlU1Fxku9Hz168ba0MHz45MCazJLibOa4 9j6jGogvx3zHBE41EQ02WS4M+L/vGUvubihhayoy53XrV+FaTzHrys1WxSJt xYIbbYYNqu8qrryp4HC/RV+RML1t1ao7PMS+/cXmd8kfIBq3Tu7Qo99I0ahH netfeg0WZ0rdS3FdPloc8Fjn9ubZEKHjuyrzLVkfzf7LyEtF/nL0haL/AniO g68OePPBvxN7KmHfQez99VjaXxU/mOKfX5q4V/635pyecT5GyLuKvLBuvp0K fjUUOxitJnYLmdHFRqzo1qhYPeNO4kczvToLA/qLI/kHDY1C+4oPz7tUmujk KT6ajwltaTNU3DUpsiSsr7c46uE24NrUUSKnbNsT03QBoq/tSL+H6//WT+Pu KTtWBwu7SdNHjor3Fykz9UtGvAoRXnadt3YoEyD28u3D/J86cr0L+z8hbyfy 09FXykLqfwSe7eD7DN494DfGnjXYt4zxIvZXwR+v8Y+HhidUfH8iD5YS/284 p22cUwT62qOv7+yt5Y/FOotujF1Dc7Y0GTVSDHVtffK5ywhRM6BMkXt/7X+a MjCkZB8/MblJ03r9500UefEv+0atCBafW1R6+Lj1FPEsqEfMt12TRJeRP3v0 aTRF9D09b4rnu7994u61yQO6Txa2i64/3mA6RRjt4Zv5U6w/zv7TyPuA/Ej0 Kf0tweMMPnvwuoB/GGMD7NuCvXuxvwB/rMI/jTW8qvgjAJ7pAr8cI/4bE/+7 VJxxjoM1eKKq5J13TAoQGxirbspKiDOeLN7X6CjaxE4S1jWGe586P1kMNDZZ dd55igh6El9vVGSg6GfdbcS6bRPFrgeDHCZV8hL1LhgUOvz93cDO8ML6nK5i x8Xtx7ZOnyCqd5ffu8/L+WMP5Xoj9g9+KuUZIt8LfR/R/3ijxHMMfNsZe4Hf G3t+Y99u7LXC/nP4wx3/HNbUIcXPM+DxYPh7CryieO4H+fmW/EjhnCtxzsWM JN4z4NV5Fzco3/Hv/WCcHOftOvDKa+IYEZ98t/PkTr4i85yf5Z/0EbrMB+0s hp401wW8W3mz+ooZuszJE7ecSffVLfI3vKk/bZ7O/tnisl23Bulc/eT3+Gly /inrK96Q+8MuSHmVkL8VfR7gcGJU/iwL3jrgv4c937HPAD64jf0z8cd8/HNT U7dV/UugTjagPl6Ar1fA1+fgnQx4J5X8GUH+NCAOXImDdlelPQU7pT3r7Put Gpfgq9vQXY7X7VePd/u9QFfWodKVyIB5ul+59WITti/XJS9qaOqbtkT3bsjB Ezv/3utiY19uK/YyXFdvqPx+zfwu1gf2lPvLIa9yDyn/dDc5WsdJ/X3AMwd8 ncCr8r/MXmmP4vEE7I3F/tv4Q/UP7zV9juov7tGHnKb/iKEOplAHBXyeB5+f g5dMWkpeem4l80tHvhbJknFSkbgLwl9R2Gt/JzzkxOcVOmPGr8OalLvbYrmu qk38lpd6K3X6XrFlXoeH6Xp+rlojsOVyXYSn/F7K/GrW/7wt989AzmDkd0Zf KfTvSZN47Mn/4fDBRXj1IvaULCftG4q917D/JP64gH9+a/pC1b/p0+cV0t/V or+oQX8xhjppRV0dB983h+9fwFvu8Fb4VJl/N97L/LuxWMZRIHG0EX84e0h/ dKuffm9tt1DdiHpyfJG+pKxDwgARHD7IosT3CbqVafL7FPNvGcPwpw/yDiB/ AnGb+o/UbzNF4kmCh5vCwwvA3wB7amGfL/Y2wf6y+KMA/7TQ9NGqP9anjx5P /3yCvm0/fZvqP1LpP4pTR9dQV1MvyXrQr6usB1lPJa+lw2u9yc8b5GvpLzLO koiz3oulv45el/76nrTM6tG62SL3jBzb6+S4M0XOV1si179ifyhx25T8XxIj 9ZnDs1vAU8pe4oumfk2hD8hbKO2Jw76B2Kv61lP4IxT/mGruHWr8aSj9G8S6 yvj/FHJsOZ/r6HmUKM+vHzjU+X4QEmco9cIZO/YTH+/x40ji5zF+OE48jk+V fnqHv/TwZwbxaHhDjitYn8z+KOT9QP5H9Dmifx54LttKfGXBaw/+LsRjLPY5 Ye9V7K+HPxbin+aae5qKyxzyXd3/DsIHxsS1A3xRjrjXwSeHyIsl8E0R8qZ8 uuSjZeTVEfhqNHl3Cz6LIS9Vfhvgnzv45yl53YJvU+ZPsm8soyHyuiPfAn3l 4JU3NyWel+ArB14b8KdhT13sG4i9LbD/MP54iX/0Y//zXqt48hz15zw8ep76 FA/Prqd+vafOZFKvb8LT+tS/fvB4J/qPyuclz2+yk/WzJXWgkLE59rvclfbb E1flyM/r5Ott4mw487n4qyn7X9tJeenIfYa+regfT72eRx1cCN4n4P8Hez5g 3wHsTcb+LPxxGP8UaN4BVN3eRD/0s4is6yH0S6up+2Xop1LpCw7Tb62nb9Cn H5tNX7Gdfi2RvmcK/VwG9vlQRz/StxTQD5YmH3uTjxXh1QV8D2G+P+vPEHdX zkp5L+ivrqDPjL5nOngGg+8n/fl28Kv+8T32vaNfVvd09U5gQt9zUvNuovpI H/rzcfSZR+jf1f0+jv7+Hn2qK/1/VfpYdU/YR5+r+vFX9OGJ4PcmLmyJ2wv0 I4I6fwweM+8heUxHfXjH/eYFdfcT+elwX+53Rt6fK1L+VPT1wX/HwJPBuAe8 xuD3xR71LrAfe1Ox/zz+mIl/tmremdS9poD7tTP3np/cJ1tzL1rFffM79yZ1 vzbnXmXDeAJ8VcD3knP35tzv1JH5VJq+szo8VQWeKgf/Z9AHeF2QdbUY9eAc /VUf1hdhf3HkCfJ1Avr0yBND8OwAX0fwqnEA9vzEvrXY2w779Y5Lf4zCPyZV /vNdTt2zXXm/COcers/7xh7u6eG8f5hyj2/N6KLR78a55nGuFzT5kg4PFcBD F+D3IvD7LOrmEepmAf1Iknr/Yb4s63exvwT98zfkP0FfBvqfgKcX+L6C1xH8 HbFH2bcde09jfxP8sQb/DNa8Y6p3n0Le0+7zLqTHe9tZ3o0SGTcj/7DmHagt 53acfLhPPryHZ8LgGfVupu5JvaiL7aiLqr86Rr+h+rjtfPdh3oz1buxPQt5+ 5K9FX3F4PRc8e8BnDt5Y8J/Enijsu4C9aYxN8cdP/FPe7D/ffdU75EbeedU7 sBljGfbfYb8J57KSc/lD/qt3kAR4ZAI8Mgl+rgo/J2vq3g76ief0EzXp01Qf e43+V90PjJhX7+r72a9DXg7yDdCn6oPCo96xBoH3B/hXYI8x9r3A3urY3w9/ 9GCM17yTa9/HUzTzPzTv7V6aeK6m4YkjGv49qKlrLzX9wnfN3xdMNP1tI829 ob3mPvZNc8/V/p1kp+ZdZr/mvauJ5h0xQPM+W8zsP9+98/7L3xU8s24+TXmW bqr3q6F+YmYz84OtEuocnjbIokZY2ICgY54durx4c6ZS266WnhdinDZ+/GH5 odv+Gd+erLYKKPPQ94BbSeu2W1ttbGQ5yDrthWhf6c8i6w9RoQ0ettnw77ea V+vVfiVPyVf6lH6FR4vvuLNjpUYlLtg8bLpuTY+eL2zO2eyfVT6lpAjp1TY+ xbK+eDvzx7KtzzqI1hneV8c+dRD+Q3oeWezhJr7t3PfFN8FL1JkStk7EjRGP x7YLHBAxThjxXch8AOvbs/8D8vyQn4C+e+jfBR6t/3KZ77NlyIEdN8qJuwEP sz+PbS7KpX3d1Ta4u9hW+cn+0UWHiKgRHgM/jvUVq2KXh8Y0niICFt7Ubfs8 RxyuM7xck2Nhoo2YMXLz0kXiEN8TmFfrt7J/O/LKIz8Tff3R/xE82vM9ij23 WR9ywHPbb8ue4njn3T1r1xohRhfziUm1mSSeGrf8eP1AmHBYPVvP23eNONuq Z86TDpuF36CzFR6vjhGbmg1uN/dprPDm+zTzfVn/gv2eyEtAfhD6ctGfCB5t /AXi/8JUad8B9rd5b6ufWX2aKF1QOiH48XLRZ9ekJ6nuUWL0gBGn+tTdLSY2 Tu+SmHRI9Gy2zcX+4FExtGC7rk2z48KB7ynM+7Hejf3VkWeD/KPo08e/c8Cj zY/3xEsE56HsNUDe7Bm9F7iuihEj6/mF/9//U2QxNM/69bBTomna0pz5v8+J PV6djk2dekn0PDDtsefpy2IX382Zt2K9N/vnIM8Q+SPRF4f+orMkHm3+tiG+ lxE/6nwdsX8U8nfN9E3v+O6M6PVbzBx35rLoGfB78LGLN0RNU5c93TveEpmN H6+sWjZdGPPdj/n+rD/EfoXXHfkqHmLR31Xlm4Zf/MjHRcS7I/HkzXkp//VG n/XKKpMmT0gTTleGn+864474J+7E9M93MsVTvZw+lZdnifd8D2S+O+sHsL8j 8iYjX8XvZvTPBI+W/37BH37k52XifxLx1Zjzs8U/vdE/MP7loqiO2eLoCvfe ITk5onDdP7Gz2+eKRL49mFd4e7O/GfKmIf8C+qahv9guiUfLz3Xhu3j4ROWv yoedxFtVzvMl/joCHpujbXL3z8wV21J6/IoZmSt68J3E/AfW12a/il9H5Pui LxH99cCjrR8v4eem8N8G+MWN/O1OfqQRf3c530/4Lwp8KypYvG9qmCt28q0X IedfsP42+22RNxj5a9HXHv354NHWtxrg34U9Y7HPXuPPavjjKf7Zi7/M8d9m 8NnyfZz5AtYbsX8b8nogfxz6jqO/vsaf6vx/E5++xIeOeJmsic9OxJcD8eZI /MWB5w3+Pcy3il+Vbw7sV/JCkH8SfRPRr6eJT22+LybfepJ/48jH9uSnPflq Rf72RP9j/JXD+T7huy/zNqxX/KT4Q/G/Hfoi0R+iyXfFTxbw1Rr46wl8Zg+/ ecJ30Rr+7IZ/VH7dIP7Utz3z/Vh/mP1jkafq00P0bUe/lYY/Fd9/ox5FUw+8 NPVoLvVjNPLb4Y8mnF8M8daJ/FDfar4z68exfxbyjJCv6t+B/1KPVP2cTj0t S31V9dac+lsZeT2x35fzCiS+upIPih/Ut6r//qxX/YGS1wH5h9BXA/3TNfVd 9SOqP7lOvzJR0y+Nxd48zqcP8ZRE/Htr+iUfvs8x34/1z9mvzusU8iej7yP6 UzT9kurv3mj6z3usr4J9OzmPVcTPcuJ9PPm5Dz5pBf8dUPWCebVe1W/Vzxog PwN9w9D/j6b/VP3yAfrn+8wfx55p+P8n8av6cZWPP+EzVT/+gZ8b8a3qsVov 2K9H/C1Evro/FG8m9V/U9PP/W+5HH6Yu3u85e56Z/+nbz4rF7bOZy6h+33Xu usvejEybDIeCw2NLptt0GftiVabhZfMv2at/HZ1ZaLNld9Ee7SM+2gQsqF2l xd5HFisizH9V964mDD12ThxvXF4cnLeilmn6nQ79JrRalHKotfhtVzv67Yz6 4my9IoXiTaxlyFDXpKeNbMWBfre/36ptJj7ceht69kEvqxvmGxrrZfUX3hXS okRHWxG6fMYCz3m3rPLnfy9nOmKYqLzvz9bvp3qJtuv3Dmtw0tQ6Y89cy5bj RommCxOjB13rL0LXHv1e4kqItbXzwjPVSowTSy0ul/zk7CLO9klvObHhOmtL fm/EevV7JnIqIl/J+YRehUfpvQnOI+BXOKdi1w/sVXa54YfS+Ef5YRF+W4Y/ ld/y8fMN/K/8fIBzGcV5qXOZqTk/Nar5i8iJZ//ScR+26ux/2EQyVr0Qn9Z8 fm3xRv/Vqk/Fa4r2BwvqZ1pbik8buved39dMlCs6vo3eQydRd8qbnh8rOwr7 7ifKe3iPFH6BH1OmnBsqZl99frLd1iCxdMGi3ElHxokGOyN66yrOEiVnGdYO XhAkIjO27V+xer74VD5zS/9lk0VK/IjExaUWifaXf+jnhU4VV/nOZ34t60ux vy7ywpE/E33+6O8BHmPwlQGvwt8Sex5iXyXsXYP9qxmP4p8sTdwr/y/lnN5x PpnIq468ZF3Xm7EjrUUm458lcQZ+h11F84yZYbp8FzGqxswDpp38xNUq79aX uzNO3G3tFZjlECo8dlz6XH/vVDFtbneLDNflorXDxJ8/uoeJnvNXNfpxP1KU jBjW4pb7SrE9Y/frt6WiRWbQH1PjxWuFwW8Xi8WLY4X70sPhWfUjhD7f6czH sr44+x2R1w7509E3Ev0Kz2XweYO3Kfj1lkp70rDvJmNN7H+NP37in00anlDx XYI8mEf8P+OcGnFOddH3G//plQttb5owQfwqK0ev/bXaXdoyX7SuOM3DXn+e aJt9eFxEswhh+HRVSjv9NaKueQfvNu+3iXFNbhkbl40W6+ImOwX67BfbO7pW 7Ptrp2g3ZFa4KDgiPm72KdvEa6+477C5/ogrx8Sh553ziv5dd49vNW/KerU/ Enm+yK+Pvuro7wCeNuDzAW8p7CjLWAR/Nsbettj/HX+sxz8NNbyq+OMTPNMH filP/Jcg/s9wjiM5x5bgGQWeOM9hjzY+jhS7Gc9teu8xbH+cuF8xcYzZn52i 3poHr666HBW7f67fsHX3YRFdL7FX/GCd2OT7+eGEDydFi6VL5h38ekHcbbli Ts2hOuG6dO7GLr6XhfmAxfPa7DsrBvB9n/lWrN/M/p3I24f8huh7iv5r4DkE PjWOB78p9vhr8qoS9rfEH/74p7L9f9Yhxc9x8Hgg/O0Or9jBK67kRy75UYVz bsc53wXvRfBWLf1k+56/8WPIGJV7pExy2nnhWu/ns44nzgm9yluC/SZeE90+ Hqpb//gVEehmP75K5zSx8nd29uaXKaL3rjt2UVm3RExYs2ELR9/424fK71XM B7O+B/tLIG8w8rehzwj9dRiTwfcCvCpOa2PPfezzwt4+2D8Zf8zBPzpN3Vb1 z5M6eZX6OFfD163gHcVzPuSPytc44kDFnfKX8p9z0dq9PZ6nCBdG53WNrqzf mS525RkZLsm8JSI/JF+6/ChD3G98bdcwhzviasxS62kjskT2x9MDTWpkiBS+ HzG/mfX72D8YeR7IV+N29Cv/qjg9AN5m4A/AnrnYZ469Ydi/CX9k45+Jmj5H 9Rcl6UNU31OUOlifOlgCPu8Nn++ElxTPrSe/YsgvG+Lkt4GMk+3Y64S9ZT+2 bbdnR6Yoz/it3ZjxO7vniLigA2vWJGSLkel3x6+vmys+phuaG9nliLF872P+ D+sN2F+VUflzL/pKEqd24FH5vxW80eDfjT3O2FcWe9tifxX8UWqB9I+Jpi9U /ZsJfZ7q7/6hv1hPf3GbOrmDOvkZvlf1IRPeag5vLST//Mi/TOJoNXG0E38U 4o8PV4+Vbe+ZK94zPjjzXOftlyvaP3u422VGrnjE91fmvzMWaS/3H0TeRuTn oS8I/cvB0xJ8imfNwP8Fe+I0fUMU9v/EH4/wTztNH6364/n00R3pn5vTt12j bxug6T/2UkdzqaPtqQf9qQcR8Jo9vJZKfurIz9fE2XDirDX+ysVf6Wec+m9t mSsyNaPypyXrfdlfiDyV/1no64X+9eBR+EzBq/qAfdij+q1B2JuK/Z3xRw/8 s15z71BjbfxrxbpX+F/1vzc5n4roecf55YAji/N1BucSzr8HdmQQH2ewM5b4 GYYfXhJf2fgpk/E2/rvHdx7jZ9aPY/9e5Ck/PkSfI/rDwdMXfCp/7oI/H3uU fSr/bmD/L/zRE/+009zTVFwWJd/TiVs9+GA1cV0Evogh7mPhk7bkRQR805S8 6QgfjSevouGrFeRdcfjsHXn9lvEZ/hmEf5oTd8rfKv8Vn35nrIC8DciPQ18A +m3B0wR8keBtq+lD1X1A1QPFa5XwRx7+qau51yqeHE79+Uidmae5vzWnfvWC h7X99E7qXxQ83p/6+J0640T97EsdUGNR7F+G/VuIKxW3T8nXJL5jmF/FelWv VP0fwDgUfUWoM4PAo+rgHvBq+3cH7GuLvY2xPwJ/FKHOBGneAVTd3k0/lEJd 99Lci93op9R9y0BzT8mlH6tNX2FAv7aZvmMLo+p7lH+3ETeqHt0hH7uTjzfg ue4aflBxvoP9yl9uyI9FnxprgacB+J6AtyH4jbBH2TcYe2dhv+ofM/HPGc27 ieojv3GfmUKfWZP+3YE+9Cz9vepTW9H/t6GPVfeY8/S5Fxirgd8Y/ANUX0lc dCHfGmvqfG94bBX1QX2HMa/4oyv7dyBP9YlN0Kf8dwU8VxkPgNcK/Oo+8xD7 rmCvI/a3xh/z8Y++/X++M6l7TUXui0O496h3kIrcixpx31T3+2LcR8dxr1Lj PvCZgS9P3Qs5913k0xrySfFUK3gqHf7Pgv9bU1fVt5pvw3rVt25AnroXqvv1 Y/SbgicefN7gVffCMtgzAfuaYa+6FxbbKP0RhH+aat7l1D17Je8Xq7iH3+N9 ow339Bu8fxTjHq/G4uj30dy71ftKNfJlBvmi5aGt8LuqX6oP0PZX6vs989tY r+qDuh+MR/4s9FVF/z3wKHwKr3qfKKmxKwt7LbD/F/7Ygn9iNe+Y6t3nKu9p H3gXWsh7WxXejSoyZiO/HfLVu1kFzk3lg3p/dIdnZsAzpvC3ql/q3SuCuniL fuM6/cYQ+jj1rd7NVB1V+xshrz3yF6BPvds5gUfh01fvD+DvhD13sa8O9tZj PIQ/DHKkf55r3n3VO6Qf77zqnXIfo3rHfYt/P3AuaziXn+S/O/FuAo9Mgkd8 4Gf1/r6MuldAX6DecdU96gt9Wmf6NAv6Xxu+1bxar95x1Xu6kp+KvmD0zwRP M/CNAK/exv98D3unfWfE/gv4Q41hmndy7fv4ZM18tsbv0Zp4bqbhifIa/j2t qWvBmn5B24dp+9tIzb1Bex+rrbnnTtC8H5zSvMtU0rx3tdG8I+7WvM/mad69 D/2Xvyvo+SfPDjXbY6r3Yugc+9dFzPXuV0j+WtjWQi9spsG9lh066A2x7B+a Ud1S72WY3vPhty312nic+dbOx0qvz9DZY388sNJrO3377WttrfU2DD1/ZoCX td65+6fWTQr8f99qXq1X+5U8JV/pU/oVHg2+HrUG61y7XLAZ0PPsg+fTntoU /bwxoUWVIqLssjGVmzasLr6Ih6uf3m4mztWa0NTY2FK4F3+y8mjDbuLynM9H 73ZyFOd67PiyekY/oXcpL3PFUSdxje8E5key/gL79btIecWQ/6NA6uuA/u7g 0frPjPnSB6xu+ewpLqLubs3pbGUiup1v4uK5w0yMPzyn5vAYOxFSaZHjvgJn MSJ2QNo4V3exd2nJ9ldCRoizNUf4hIwZLZqvFs3KB4wR9/hOZH4g6yeyfwHy PJF/FH2l0O8BHu35FsF/q1i/s+7Sc/vOdhB7L3oFrCrSW1T/5GDimD9EVDjj tbPV0tGitHstq66ufmKP/my/IUsDxbKiRVfuMw4Wvj2u+M+NDBa2fM9mPn+o XN+e/YbIW4/8A+iLRH8x8GjjTx//W2DffPavebEy0quWh9DdbtAw9bW3GP/t Z8dDdYLE3akB9TP0J4oO6/obru49Udjt+FWrSMMQUbCthuH3KcHiHN/pzBew fj37byIvCvmJ6PNBfwPwaPPDgHhx5jyU/64ir1PkOd91jYOFnWXm9PkBE0VQ JZP4HRsDRenNTUo7thwp8l02Ft2zt4s4FtA1M2lBS51eT/m9aJOcN9CX68+z 3w1525H/OF/qG4r+MuDR5u9N4tuF+CnH+WzAfncrKf/o6+OGr4r5i0OTjT39 9rXWHX1xKqhIi2Cdft+nm8rnzda9shs+N7fyXF3FfvL7y3M577pYrr/zj9yf Bt4VyP9zWuoLRL/Co+WXseRjI+L9A/FUa5o8rxf4r84S8IVsOV0yZrrOx8u4 4f4qi3RrP5Q/9N4kXFfn541880PhukEf5XfQcDl/eJJcXzhK7h+HvETi4TH6 vNA/BTxa/suFP66Sn3uJ/w9rZXxZb5Hn1xP/mHhI/T65dyoWPR2ui4j+1PdO uUW6Mkf9K3m4z9fN4vv8XTnfCnt24v8rxIsb8bsOfXfRfw88Wn7eDd+lwScR 5Ks++dCyr4y3mn3keRZ7L/3lGyvxLPo0bHhlEagrnP+kW9CNP0lzCuR3kRg5 vx1/fyMeHveS8rrtlPJj0PcH/f/ysaZ+1IWfG8J/nvDLL/L3+kyZH5H2Mv4q f5fn2ypB+m/K3sf/g6/L5cTbuT0mCpPeT//ne+IROd/9h1y/mP2jFkt5d5C/ CX0W6G8MHm19Swb/Xuzxw76O+HOljbS/SX/pj934591W6a+H+O/lFYm3Vb78 NsafO1g/mP2e+LMB/tyMvkT052r9yfn/QzzEEh83iZcC4vPlRhlP5V7K+JpH fPbJkfH3DLzBxGcV4tOc+H1JPhkRn0uJ9yzk70DfSfT/0MYn+RRCfnUm3+6S fy/Ix/bk57qTMl8tyF9b9Bfgr53k+2fid5OnnF8xUa43Hyr3/6ko5aUgX+nr hv7h2nyHn+7AVwvgr2rwZzz85gnfWb6V/NdomdR3k/wf5iLPcxrxN8dJfhfH /1/85PpR8Kcv8sYivzT6ZqH/kpY/4fsW8P9w6kEN6tF56kVD6scF5Mfh3wfE w0DqUZ2pMj9K8B3B/DTWZ7O/O/KeIb8++gLQX05bj6ifRtTTAdTXaOrtVOpv PvL2Y/8/nJfiv93k26ztMn/T+G7GvIqfaPYrfOHIj0CfE/praus7/chn+r/1 9CsH6V9i2V8Ue6tzPonE02Li/y35uhx+ieJ7DfOvWV+V/c+p51HIj1f9Gfr1 tf0S/Z0T/Z7q/3awfrim/5xK/PQj3veRn2vhkx7w3w2+9zDfkfWh7B+HPF/k b0NfCfQP0/af9MvO9M9dVb+MParf+6Xp56eSjynwx3X4rg38nMr3LeZ9Wf+M /RWJv8bIL+Q8x6HfR9vP/2+5H3UaOH9KmaFmHp5LJr54t99mK6P6/VaLj99H 2mTYRF03PZG7LM1Gr2/0wOkxUearpiU3n7jsk01yTs0ze7Pe2Oidntlsw5wT Fj9XJFqcrlNBDK+9f9S4RsWE3qmy/v0e7u1Q4k+vMtYX64kdJ0rZfjteTeh1 nOOj32ma5aTvl0qml20vjtdrYukW1VDo1V1X6Y5zA6tRtd8YW32xEZZOHdKH xrYVeml1o0s7xFndM2jy3CjZ/m9+zXk7qG4HoVfQ4M/KweWsj3yYVpjRuo+Y El11XkjxTkLvn7yPqam9rfuXSTz+J8RJNC86rMuFzM5Cr0LwIM/+ftYD+N1D ref3c8j5PBj5yLmLXnOFB73e4ExS+MGp7Nqp7MUuffwwWPkHP/zBb3uVP/Gb 8vNi5X/8rM4lQJ0X57Jac37/jszPQ84N9m+8OuHckOTPNnGMZrFDWtkXryJc NnhXFAsMRPjNPrEZcc3FotfbHiW9bSzu/07s477FRiwd+yJ53BVL0b3DlRCd ZR8x5rtXTMPJ9qJIdteiHmvdxLF2cVu+ufcXr3/rB0728RSetmt3j3VwE5UC I53mNhwl4g7Hl5kTPlRUWOi41qDtGPF0z6XvJWsME2X5PsP80wC5fiL77yAv EfkFWVKfO/oHgGcN+F6Cdzn4o7GnN/Z1wd547F/FeB//bNbEvfL/Nc5pDufT BXlWyLuev3Dixr0txQ3GHg22NhqZaCsW1RjU1HthVzHh0Kadjx66CN+OK/au jOovHBpZ+7p7eonDX6aVHr1hmHDu6nl6xipvcbVfPYvtHf/2hzs2p7bsFiBu B+iiUw/4iO2tPlcdHRok/Lt9u+3bwl9csrxyzTE0WLQaO/yhm9sEcY7vPsxf Z30W+4ci7wny/dG3Dv1O4PEDXwh4Z4F/EPZcwL5MRlvs74M/luCfexqeUPHt SR68I/4DOaelnFMg+uzR1zg/tPOM6q6iDWPu+IzpFWz+xseC0yb2tiPFMd/h czYPmSCqP3xg+LW4n2jSr1aZlHfBYu+csSu3zQoS+xxb9IqYMVHEB4WMfpQQ IjLjS9d8nxIi1nYU/3TymSiikmb5FOwPFodqVWoWNXuiGMT3LuaHsz6T/U+Q dwD5/dDngP6H4JkCvjzwNgF/S0YX7JuNvSpOV+CP0iulf8ZpeFXxRyw8UwZ+ mU383yD+x3COEzlH5a+74OlyvcK2H10DRDPGc3WWLTz+M0TsWvfjcp+DIeLn P81tOjqGiPJfB61IrTtRVIo2HWZ0zVfsN/RrH/UqUPS4PORLla+u4lfRpGuH rviK07Pdqk3vWlS3pvK6Whu7jRPRwfJ7MvOPLsj1btXl/ktbpTxr5Nd5J/Ud Qf9V8Cic3RnV+YdgTwD2TcDeHOzfjD+q4Z9rmjqk+PkqPD4O/u4Lr3SEVyLI j27kR3vO+SPnfFCDd2UPJ9eKu/7ek3vKsXcT80M+N4aLA9UjjlTuN0pcenz4 U/7aUbrX9cJ3ew501JmsWNt46cJpuoufev+p12e8bktmyb0WkXN0rZLqXR3V LEhXOkt+//gg58uw/m5Tud8OedONpPxbjaW+HugfyrgXfDrwPgV/G+zphX0r sLeXhucD8M81Td1W9c+COulIfTwCX3+Er5PhHcVzUeTPaPLHgDhoRBxEYs8v /Pdwy9wNLu3H667HyNFwqN7NHnvn6Up6VbTyXjlHV7/HZM8/t5bozv5sUXbR joU626ytU1x3h+t2P/ni+GX4Yt0dvtsyf4L1/3jK/RXcpTyTKCm/YKscWzeS +hfXlHgekBem4O0E/ljs8cS+h9ir7L+MP6bjn+6aPkf1FyXoc+7Tf/hQB/Oo g+/g85GqPsBLB+GlRuRXEvnVsqGME6cnMk4WYm8i/rO7+ufepvdLdY0YW7V/ /WRiqaU6z9ihDib9w3VnHvnutxi/QBdRqsub6WWW6nY8lt++MXK+E+srsL8f 41rkX0ef2VOpv3x9iacv+BQf3Ad/CvYMxL5C7H2M/bPwx0/8U0HTF6r+LZA+ L5b+Tkd/UZZ+JII6uZM6OQe+Hwvf+8Nb2Zckb/nny/xbtlzmX+8fMo6ciaNN +GNDO+mPyIAzRaISQnWbGIsXafPl4VFnXc+4Ljt25Yborv1q/T/fvZg/NEGO yv8ZyNuG/IXEbRXy/xR8MQJ8keCNB/8d7LmEfa7Ya4j9D/FHAv5ZrOmjVX9c gz7aif45m76tGn2bE/3HWvqPPdTRZdTRQANZD+Y3lfUgQyd5zRGeu09+TiE/ n5WUcVZI3I3eI/1Vv1D6q1p6tWvegyeIGhly1L8lx10/5Pyb3XK9A3Hakbid i/ylT6W+lxlS/2rwrJwj8Q2gfvUGf+Xa0p4j2NcNe02w/x7+GI5/umruHWoM wb/qfrIL//8Mk3Imcz5L0HOL8xsAjgVF5PnOGC9xniyQ5z8dP5YhPnTY+SBa xo8tfnhAfH3+Jv10gvgrfxv/fZffx/BjIHE5k/3fkbcc+XboG4j+8p8lnsKx Et8t8M4Hfxz2HMK+2dhbBj/exB/D8E+E5p6m4rI0+R5P3LrCB4XcG7I1/fI5 +KQ5efGM/uXFRZk3C1pIPnpHXqfCVwfIu/wrks++k9eDGX3wz1T8Y0ncfeS7 EH8Xsr4ZeW0GP65BfgH6aqPftpXEs5T+ygR+VH3rRuzZj333sLcUeT0Kf5zH P//yo8preLID9ScXHj2iub9lUr96w8Oqn06Gp5tS/y5FSR4vrCHrYzB1Zjz1 8w51oBfjMfxphv2/4LmLxFVd8jWV73rMh7D+CPvLUq+HMRZH35dHUv9X+oc3 1Jly4D0L/kTsccC+R9h7T3Pf/IZ/bDTvAKpu76QfmkpdH0G/9Ia6P5t+ypu+ oB/91o++sm/YTj9Wnr7nGv3jQ/qOeg3laBQt7cum3zOj72lEPVhCPhYjH6fA czrFc8yvJM4iibuT1OVv9D2/0duWvqs1/WMJ8G0Ab2v6nk7Y0wn79mPvP9jv gz9G458zmncT1Ueeoj9X7yhr6d+96EN96O/70KeOp/8/QB/blPvBYfrcQ4xu 4L9C3/aeuFhPXEygjz4MH+jDq3m7JY/tpz7UPiy/nzH/i/tMv8Zy/xvyYBR9 4jP0dUC/DjwXGJuDNxP8gdjTBfsCsLcH9m/BH5PxzynNO5O614zhvliBe898 7pPPuBfN576p7k3NuI8WcK96wdgOfBngU/eydpz7UPJpCflkBk/Nhac20I8E wv+mVWRdncV3tWJyfinrG7P/OPJaId8VfUfR/wk86t76Frz5Cjf2zMC+edj7 HPvX4A9D/DNe8y6n7tk7eb8oxj3cnvcNdU+/xftHL+7x/RgboF/du2dyrr05 18rkS1fyJQkeclHvM/B7Ovw+jLp5nbrZgH4kju8w5k+z/gT7XZG3X92z0NcS /XbgGQu+IPA2B39v7HFgzMDeLdjvjj8q458nmndM9e4TxntaGO9Ca3lvs+Hd qCNjKvKVf+dybo85N5X/duTDDnjmKzxzE/7Ogr/vUxc/0heMpN+oRL/hSR9X l++xzH9jvbp3ZCNP1YdP6AtHvz14xoPvNngV/mPY81jzXqbGBPyxAf/s07z7 qnfIZbzzZvNOmca4g/2L2T+QcynKuawl3tU7USw8EgyP+MHPY+DnE9S9J9Q9 X/oJdY86TZ/mRp92mf53NN8XmVfv8/7sf4C8o8hX9TIY/VPAo/DVAO9m8Otj j7N6p8ZeZX8e/njBGK95J9e+j4dq5qM1fr+tiWc/DU8c1vDvJU1ds9P0CyU0 fdgWTX/bUXNvmKi5j5XS3HNtNO8HlzXvMkma9y4/zTtipuZ9Nlrz7n3jv/xd wXP19Bk5Tw6aeq7wWVi0Rinz6EkX7uXnmVvkda0wOvth5w6h62Z37XTS2DLv rrNf7Ldsy7MHX0dbPg6wMkkLv1u+8IlVnl2nTlN2mFuHjkmp38VtjHXbaiVW 5s2d9O+3mlfr1X4l71/56FP6FR4tvvzkWsNuFrlt09rjdOuXbT7bnLbf/zDg S2WxMfSD98JKLcU0j9nHUm27iu4LrH93v9JffDSpc7/VEw9xYce5j/FXx4gu b3ct8TkyXnwIaN0p/Ye/6Mi3mi9gfU/2T0XeKuQfQl9z9L8Ej9Z/TZjPXGda eLh8dfFia8nG7SuZie3XSpbtn9NblB2bfO5Ydy9hVOzlgWeDAoVJ+uhC3ayZ wtDY6titUQtEswYdWg/YvUTUWpr19sPecNGY78rM12d9XfaXQp6S/xx92eg3 A4/2fI9gTx7rT2b0Xv/itZNIHv7dKGTVWNHad+rILoOmC/Ho+DbfPUvE0Z97 zF5UiRAxbfvUqjx0q9h71OZkcbttYmflgruNo7eL7XxvZP4E63uwvznyriD/ FPoU3kSFRxN/a/H/Uuw7y/4BYdcOTj8/Wywpu/msc+oqsazPiW4fU6LF5yIh yyp/3SPOtJx6c//uw+J12bjRRuHHxOIZrQpzfh4Xr/hOYv4n69ewfzXyvJCv /BGH/jjwaPNDxZ8e59EIe5chr/O0WcdNum8Tg+482O0355DIKdLde3qtRJE4 ekLhwjbnhVfus9j1oZdE8c1V7xc9clkM4zuJ+QesH87+LshbifyW6CuP/jDw aPPXnviuQvyo81X+c0d+kwGpiVeWJQmzd5//HPqLJ+39Jse3A2+I/tmTE3c/ ShOVy71bn7b9lnDlO4t5a9absX8E8iKQ3x19ddDfDzxafvlAPlYl3hOIp6+c Vy7+aIe+MU3SZk+qlyaqdp7ytf2X22JN1ICwGZaZItLppHm/d5kigu/qzPuz vhP7HyKvZFEp/zT6WqK/eD2JR8t/yfCHEfm5k/g/RXyd4vyS8U9l9FsbtikY vClLGNZ33168f45o9Ov5+vpnckQdvm2YN2L9HfafRZ6K32j0NUB/Oni0/GwL 39WHT3aTry/JB3firRfnGY6/qoJnaacWk7rY5YpnEWNrR7vlirV8K7xrWe/M /uHI+wf5cegzRX9P8Gjrxw/42QD+i4Vf5pO/vzbJ/ChH/K3kfBvgv0fga9Lf uWN811zxmu92zG9hvQH7fyBvIfKVPhP0Fw+UeLT1zRr8NbFnG/a9+C/+DMM/ lfDXPPyXB77VfBsxH8n6fux3Q57iL6WvLfrtNP5U53+NeNAnPlS8nCZ+ThJP V4ivisRbK+KvHHhq4b8qfFuq+GV9KvtPIE/FfyT6jNGfpolPbb7XIN+OkH8/ yPc75Gdb8nUE+auP/oX4K5zzXcS3yjdv1it+ykbeb+QrfQ3R/9PkP/Nd8ZPj /4c/B8N3TeE/c/Sl4B8HzrMs8deb7xvMd2R9B/Yrvl+NfBv0maC/j4Y//+2v 4P/i1IOm1IcVmno0DPkZ+OM45zeEeCskP1T8qfN9rKlHNshT9bMJ+iqgf4Gm Hqn6uZ16GkN9vUq9HUz9Xa6p76peHye+HpMPc8nfp3yr+FPnu1xT34cj/zz6 Dv+3+k4/cpT+5AH9ymn6lxT2q/przfmo/mcD8b+DfN0Ov6jvrSofWW/PfnVe N5Gv9BWi/5KmX1L9Xfv/0n/uxb5ynEc14sdY03/Wg09qwn8N+a7KfB3WG7Nf 9bN7kK/0vUC/pab/VP3yK/rnZswnYI+KBxW/qh8vJB8vwx/d4bvf1AtVT1KY V+tVf6H6oYPIT0Jfb/T/1PTz/1vuRyavDPzq+HmZndl+wqn9oCSbNEb1u5/R 4uDyy57ZHDqx5tuvnDwbvU1NNldP2mZutHDfYPcaJcSujjfKvjf5bZPn19O3 aqTOwjn2eGuDIvVEg227ui5zMRQB7afW+7jpcIf6nd9dHnvBQhRNy+28dXkL 0eXRInHyZahln0Vtsz5OchAnOqZ7pc7+e889W9kx+WVTq8/XXrfI+uYmxljk LFp6r6cIjUyo2LzvAasspz4JG+uNFKcuuS2pM85ZmIwZ1ulMtIF1XEjJo36l fMT5sc+z023cRF72g4JPq5ytb1kejO/s4i/mm16zeFZnsNCPaFJ10rMg61R+ 17Fe/b4TOSeRr+Rko3cceJTeL+BMBL/C6Ypdv1OlvcquhvihFv5RfuiL31bj T+W3avg5Dv8rPwdyLomclzqXq5rzU6Oaj0LOBPabTCvsfWdOKdGKscuwdV2M JzYWZllf/nxb01BEdD9rsznmb9xnbx3wIKOzMOux7Gqf3wPFSed3xd6VdBZm 8SUDB9bwFqdnTs596TBCtJ1Vtf2HWpPFtWllno0YOUH4Lv7jZFVzrrhU5ple 6sdJYv6BB9kb+ywSnxptTvhyZoZYH9VuUmadcOH+dWJqy8JZf/tA+f2B+VDW X2D/OOQlI781+s6g3wI8J8DXDrx7wL8We1pin7K3KfarMQj/7NfEvfL/cs7J gPNpjDxb5PU/6Dsjv3Y34cY4t+GQK6LeMGFdY/Zs87dDhJeV3c0z/kGi0vh2 K95FTxCX7t02KLl4nmj6wDzfVswWQcazu3jOWSVK2f+curHdErEgsP3Osikb RbWiawftTFktLKbd/B6wL0Y03njSdX63SNG40vNG47ptF/Mu5XuP/LJeNOS7 PvPtWF+V/UpeOeQHo68V+q+ApyL4RoDXEvwLsMcV+9Roj/3t8Ucd/LNHwxMq vquTB47E/0bOabk6J/Qp/+UlfAk8+ST43/HIct2PTh6LxGZjvZ6LtoeJEz0q vYj/tV482mdY8uehdcJn4OJNew/tEOGO1z/OPRAjkoNu3HvV4KCYMW9gxfib ceLjlZWbemYn/O2jT13rb7NfLAoJOhG+5biYN7LRk9S/68L4vs+8Wj+d/SnI W4F8f/Q9R78OPFvAdxq8T8H/gnE+9in/qrw7jj8G4p/WGl5V/JEPz9SFX/YT /y2I/+KcowfnuEH5CzwfmuWNn526UeQzhv2c3vf8/D1iR7l8PbO0OFEx7Fng 1HbHhFHWwSZVVx8Rtc/2mezzVic+27S+u+rQKZHcN//JWYOL4mDTgVOT/9GJ boPO/Cw55rLo1d60w6K3Z//9PsC8Wv+N/Q2QVwf5VdEXj/5V4PkBPjUmgT8W e8ZgX2Xstcb+s/jDQvGvpg4pft4Lj/eCvw/DK+3hlTrkh8rXPM75JOe8DbyL wXuy9trPS//GzynG5HMdP24oPC+imu2+Pf7tOXHrR+tr9pbXRJmAo79nRV8R Nff0v2PyNFX8UzJniUNEimjUbcXh3yG3xOYThk6df10XTfj+wLwJ6yuwPxt5 25Cfhr6z6D/PuBx8B8F7DvxvsOca9rXA3s7Yfw5/uOOf65q6rerfEOrke+rj afi6FXxdDN4JhHeWkz/jyZ/qxEEl4kD5KwV7tu5s98BlbYqIZvzd60SDLZbp wj/7zwKDv/75vPlc2NbeGeJ0VP6K3ZduC/PnQ4Z/Pv/3PjezfNSHJXeEBd86 5r+zPoj9xXpLefHI38Oo/LkdPFXAVw+8k8AfgT2Tsa8i9nbA/rv4o0iK9M8U TZ+j+osj9CGq/zhPHfSjDhrC54vhc8VriucKyK9a5FcJ4uQmceKDvT/w3/Yf x/Y6ls0UOxjLXHSzerA3W8SVdGnb0zBbTMk5H316e44ovn50c7t92WIa3/uZ r8T6ePbvZSyOPwPQp+JUxa3K/1/gTQV/KPYsxz4j7A3C/jv44zn+uajpC1X/ doI+bw/93Tv6i4X0F6pOqrqq6sE/8H0cvHUZ3npG/hmQf8eIo3ziaCf+KIU/ foc626X9yvl3vB7XcNV611wR9MxgQJh1rkjnu9QcOV+GUfnzIPIKkX8WfXXQ /wY818CnePYT+J9ijzX2NcLeZdiv11j64zj+uanpo1V/PI0+Op3+2YW+LYK+ bRr9RwP6j9nU0fnU0R7UA0E9WAmvmcBrpcnPVuTn70gZZ8HEmR/+uoa/Yp5X Kb7eIVdsZ9zBeIv5qayfzf6yxG0HDR8ono0ATxfwKbwLwT8HexphXyj2bsL+ cfjjMf5Zq7l3qDEB/95k3XPicRVyanM+Jui5y/nNA8cuzlf58QXnXw87EoiP ZtgZQ/wE4IevxOEV/HSZMRr/3eA7lbEo8ThTk++WyE9CXwP0vwJPR/Cp/FF+ fIA9DTR96kbs/4M/8vDPDc09TcXlIfI9lrg9DR+oe4MBfKH632nwyTvyIh++ uUTeFIOPKpNXY+GrN+TdZvjszwWZl78YP+NPP/zjTdwF8v2HecWn5Rh3Ie8r 8iegzwj9pcBzAXyKzz+AX9ljpunvw7D/Jv5QeX1Rc69VPDmY+qPqzFnN/U2P +hUGDy+jvqn+15D6VwMe36zqNTy/hfr5jTqjRuXPt9gfRVypuC0k/1vwHcv8 e9arevULeaoPiENfOvpjwVMTfDXBex38K7FnPvaVxt7x2J+OPx7jnxDNO4Cq 2/vohwroe47SL6l7qjH9lLpvPdDcU2Lpx8rTV5ygX7tG35Gs6X9uYJ83caPq 0RHysa6GV435Psq8ivPx7Ff96A5Nv5PKqPpH1ffsBe8Ezb1H3V8bYa96F1D9 ox59z3XNu4nqI39wn3Gmzzyq+nf60BL091fpUzdo7n/qPrOQPlf146fBX0HT V6q4UPl2XlPnFY+FUx/U9xPmVX6WZH9d5Kk+vBr6LqB/GXjUWAhe1YfHYI+y T1/dZ7D/PP7wwj9Gaf/5zqTuNcbcF5ty79nLfdKCe5EF982R3JuecB9V99RE xq/gOwW+OM7dX9Ovq75T8epbeGo7/D8X/u9OXQ3lewfz71n/if03kKfuhQHo 24P+0+ApAN8Z8J5jfIY96l6o7LXE/vP4wxL/mGne5dQ9exXvFy7cw1tq3scG 8P6xhHv8IsZH6FfvPZs4V3V/fKjJF3UPUu8zk+B3Vb8yqZv1qZuqH1Hfucyb sn4q+xciT/HcJPQ9Rr9671H4VDyo94lw7FnIOAR712N/d/zhgX9OaN4x1btP NO9plXkXMta8O3ZiVPKVfztybipu1buUKfnQGJ5R90stf1emLs6jLtal34ik 35hLH6feI+sxv4D16t1NySunuc+pd7su4FH4OoLXBvxbsccd+xyxtzdjF/Ue i3+SNO++6h3yOO+8IbxT+jM2Z38l9ltxLgM4l0TivTnxngiPKJ5V77jq/T2F updD3VPvuOoe9YU+LYM+zZP+N5vvr8yr9ZfZr+Spd+Jv6DuL/kHg0YGvDXjP gn8Q9lhq3hnbY38Y/ljImKl5J9e+j9/QzB/U+P2wJp7baniisoZ/L2vqmrZf OKfpw25q+tvVmnvDdc197KzmnjtB835wWfMuU0Pz3mWheUc8pXmfPaV5987/ L39XOLb/1NF042TTmLVnowJa1jP/nTX+sbGdk4VuVQd7hw4DOzwqfmhRfraF 5epP7gYbVudbbhu25cSY2out9tz+7lnryC+rtTNOxj+p4WTdqcetUTW2hFo3 /ScuafGZlf9+q3m1Xu1X8pR8pU/pV3i0+HL1D6xop0uzeXhgl6hZ/4PNpEm7 fbstLC16jpsfMzbJWCwZ65vz26itWK7vOHfPuk6ihfWZq3du2Qm/0CbNehj2 EednDn65vnl/4dOkhs8JY2dxnO8pzDdl/W72ByHPCfnj0fcU/Zng0frvkcLX 367Fg+gKolmnguZxfRsJk8md6nQ0tRJLE5PC7uX0FKMnx0RO1w0Qjx88f3Hr yTBh8iXgcf/CEWJPza4HqsaNFu4D+7S+ETFGLOD762c5n8P6KPYPQF5x5NdF 3yz0p4FHe77+2GPEesfpoT++HekkKu97/cgyrJ8IMx0flrLZXdTqdiurd8Zo 0clu5Ks98eNF2tQawSWPBoi7973G3nkTKF43ztn2tluQeMn3Zeb1Wd+P/WuQ Z4r8gehrjP554NHGX2f8r499duyvNXrep+exw8XDn+a+uSe9Ra9ibaaUbRYo MkYPOT2lQ7BoEHl24Ly7f/uGCnY/DwUHiq+rvhn4JwaIheXld9cIOX+Y9Q3Z fxZ5n0dJ+R3QVzhJ6u8EHm1+TCFe5nMeQ7F3F/ISGo/s+TU/UOz5nN42xyhY PHwSWNtxl5+wHTBpn/9Vd2H5aNGIps2ri7mj6m4eFGSru1xx8f98m7rJ+ceP 5foN7J+FvFPI34u+1eifDx5t/oYT3+uJH0vOpx32r0B+mxUtu7hEjBP1+8Vu q3DbVrd4UGeHTPcgXbmXCeuWDJ2p61/8QkapBaG6us/ld/Ehcn6Dg1y/Llzu t/ki5XVDvhv65qF/AXi0/NKAfLxFvH/tLuNpCec1Cv+5ukp9K1Ku959+YKqu QtsdOa0OLdC1yFydqG+/WFf2wLaYfhmLdUcz5PeednL+FOsnsv868rKQP5T4 zUZ/M/Bo+S8E/nAmf+8Q/4eJr3Uu8vwa4J9P4Ju9ddKK4l8X65bWujb81JIw 3dPsgtLdjs/TufF9gPl6rC81WO5v5irlBSJ/N/qM0b8YPFp+vgXfbYRPlpCv tckPz0wZfyc4X+9s6a86NSWepqnFvk2zmqhr3nGWecCY4bpKN+X3KfAWy5Lr XV/I/cN/S3nB5NsJ9K1D/z3waOvHSPh5IPx3AX4JJX/7jZH5cZr4K8r5GudI /8V1lvh0Tw8EjXnrJYaby2995k33y/U9i8n9T72kvGvI128i9U1EvxN4tPUt CfxLsEeHfd3wZ6iVzN9O5EcZ/BmOv3JvSP8V4s+F+LM5/o7Any74cwD8EIk/ I9GXjP5TGn+q8x9CPNQlPo4RLzXhx2XEU5ibjK9A8mNatIy/dHX+WdJ/u8B/ nPhMaSPXPyI+bZylPDPkK32m6PfUxKfKp5rk12fyrRb5V3KMzMf35GdBV5mv A8hflR+nyPc3++T5rsF/n8H3Klmud3ST+/2Rd5N8b4e+u+i31+S74qcI+Mob /moPnw2F34bAd/1XSv4ztZf62pD/r5/J87QifhP4/gi/1rCT67cuk/sDkKf4 2R994eg/quFPxfdT4X936sEU6sM96oU/9SMfvjd4Kv3hxPn1L5Tx1sdD5kfr l/I7mnoVyvoX7H+AvEglH32j0D9HU49U/VT9VSnqu6DeNqe+L0JeP+xX/JwK /yWRD49WyvwtR/4p/r3GenP2l/ol5dkh31D1E+gfq6nvqh9R/abqrwbRv6h+ ZgT2WnA+bYinzcR/EPm6Dz47wPdh5luwfgT7lyKvE/J7oM8c/Ys1/ZLq7+7R 702n/6vJ+mLYp/qTUOLnE/Heg/zcAp9MgP/W892U+XzWT2f/RuSVQH4b9O1B /wtN/6n65cv0zw+YH4c9g/H/NOJlI/FtRD4GwR/X4bve8PM5vqcyr+r1WvYv Rp4t8sPRV/Bf+vn/LfejUkUzSn1/PdVs+PeBHt/3J9p4Marfi22cefez/yOb HoutU+1u59qsHx1Y+aX7GfP5M5fY+Zv/snmTeOGux5YCmwHlTC+/mZllMfGg yYFJelXFykcrXl82LSvOWPQd7LEvpUPFOVdu3rvaWEwy1m0vvF9LLCnUzarc eINl4O2D410fm4sa/Z2yvBo2E/On2W41CLO1Gj5A2H790lXs23cv7XyoqXhZ US/qcI8rVn1cph2MXOsgRmy6lr9sqLVY9mN+8rkOza2b2Zev1KOkkzhpW+lu 3zFCLMqvbjgvytf6UPF3L2zy+oudF8oe6hjdRWy99XrNsZrh1gf5/Qbr1e9G yFHylZx+6N0PHqXXD5zVwK9wTsOumdir7PoYKv2wFP8oP0zAb6/wp/LbTPxs hf+Vn4tzLqM4L3UugzXnp0Y13xI56lxdrpc9/bWXnhjO+MTJ/1vLAiOx1WXA klZ/qotVW7Z0L3KrrTD2y4ur07yVaJbVMfReNVvhuNNsTP/4zqLM4udXhg91 EpY9TOxnbXYQn1v0tGvXd7AI7Vbp/INKLiL59pqe5ap4iXIJkeUTng4SPjO+ Tnwwf5Qwfuz+Wf+nu6hxefL21h5jRJOvYZVOBXmIMnwXYT6c9W+PyP0ZyAtA /h/02aO/HHh6g68WeIuDX9mzGfueY68r9o9g/L5B+sdKE/fK/9mc0yzOZx3y lP/6FG/a3EyvvbBjTPqWdvZ5ip3wLvZ55P3Q7qJD6IrIaodcRd/k0b0r+7uI a4U1jScVGSGSzh25+KjBcDG006jUyuO9heHQo1OmLx0tMgPeza4xaIK457P/ c/gIHxFY+XFWiYmBYvIOF+d2w/xEq6F/NjUzCxK1mm5u2GCQv2jN9xzm67L+ Fvs3Iq8s8l3Ql4n+q+AZAr6m4A0A/wXsccK+vowvsV/5dxX+ydfwhIrvyeSB H/FfhnNaxDkpf11C3+d4j/I2zweKQkbTPnolGu0aJdql5PWsenak8NnU3yfb 01/ku9W5/HPceNEmstOLLfOCxOjhEXunhQSK7BsBhca9gsW0BRdzD5YIFj2W +lpktw0SunaxC0zcgkX8BCP38Py/96/Jvu+K9gkWO/heznxf1oexPxl5jsg3 RN9P9NuAxxZ8FuD9oLHjIvYFYe8y7DfCH974Z7WGVxV/jIZn9OBZFf91iX8n ztGYc2wCnu7gefMgb2Mjtwli8EM5NtHf9bJRq2BhZF7dtW3RYOHv6e5TIypQ NO3oNrHx5iDhoJtbdU7gGJH7+5XRpK7+YqpvwuNac3sJm1Kzh3z2GyNOJHhl m5pb64KTjBaF1B4pSp6S39+Z17Hegv2uyGuB/FXoK4L+fuBpAz47xvbgb4s9 ttjnjr1NsF/5wwD/BGnqkOLnT06SxxV/W8ArFeGVRPIjmfz4zjl7cs6/zSRe b/B2rnSiW9bbAFGLsSB71Z3spIF/+WbUgHIPPUTCn4jgmp1G60reDa8z82J/ XXj8+40OSVN0T0YMCmr921fnWKSoySejUF3T6GI7n8wM1L3Tk995I+X87d1y /Yocub/FbynPIVnK331X6uuF/g8V5TgIfDXxbzD4aw2S9tzCvjvYWwX7zfHH HPxTRVO3Vf3bTJ30pj76wtff4Oti8I4jvONF/lQnf3oTB/2JgwHXpD0lsKff wEcey1746uxc5HgxsaZX8tM5um+7M0+Urhqqs9777k+a4SKd+6suzkWdF+hu OR4/uOnKYl3ci3NlPdLDdKX4bvVazq+Ll+sL98j99ZCX4yrlV0Rf9H2p3wX/ hoLPBrwNwa/sGY19FbG3Sktp/xT8MRb/nNb0Oaq/6Esf4kX/YUAdfUQdzILP r8PnTvDSWXjpIvmVmiTzq949GSf7iLsI7C2GvTZt77mkGi7WdWsnx2Ov+30Y lLxId9rs4VyfY3/9dfOH3qRF83VNE9L1zqYs0sXckN9u5nJ+1xu5PgE5hsiZ g/wD6Bv/S+p3zJV4osj/s+A9Av4R2JOGfRnYm4P95fGHJ/6ZoOkLVf+2gT6v A/1dafqLjfQXLamTHtRJd/i+PnwfC29ljIPnyM8He2T+fSPOmhJ3Y/DHdPwR 9yerYbmnobrjjBkVx8Tr3Rmj83ja8ueyUlN0ryrI75PMD9TL/p9xOfubI+8R cWqFvjHwxVTwVPCX+H6D1xb84dhji31TsDcU+2vjDxv8c1XTR6v+OIY+Wkf/ XIa+zZi+7WET2X+Y0n9cpI5uoI7a6WQ9cL8s68HLKMlrUfDcE/KzOfk5jjhL I87qPpH+amEg/dW+caD7/LbO4mkdOeY2kOMo/GvB+nD2JyCvH/JN0Hcf/Ubg +XVM4kumfm0C/3zsscG+GvRblbHfBn+cwD97NPcONcbiX3UPKYP/lZyenE89 9Kzm/PzBkcv5NqKuruD8R2BHILxWATtDLGT8mOOHM8TZdPxoSPwNM5b+s8N/ vpXkWJd4tGJ/ZeKxLfJ7EY/P0L/QS+JpmijxRYJ3O/jXYE9P7HNU9mK/Ef5I wD/7Nfc0FZcO5Hsd4vYb94Q5xHU6fNGVuB8Pn6wlLxzgGws/mTf7MyUfZZFX NeCrd+TdA3itFnkZw7gWf1rgHxPyegTfM5h3Z30VxizkdYA3QtB3B/03syWe xNES307wWoN/PvZ0x74c7J2L/bXgR8V7Ppp7reLJ1dQfN3h0MvUpDZ79PkTW r1vwsDf17Ts8bUH9qw2Pz02R9dGMOjNvgKyfztSBeYytqQ+J+PcbdeaJg4yr CPK1HXF2hrh7xvoy7DdD3odTcrSnbo9B/+orEs9C6mAJ8Ja5KfF3wp5U7CtK vU7F/mD8oerwMc07gKrb+vRDY6jrzeiXSlL3r9BPudMXvKV/7EPfUIx+bCd9 xXDVN9J33GZU9rWk3ytD3Kh6cJh8/E4+FoPnKhSV30OZN2e9F/vvUpf3cV5/ 6LfWMHYDz0bwmYLXDPyfsWcs9mVjbz3sV/3jePzTWvNuovrIYfTn0+kzbenf fy+Sfag9/X0GfWpL+v9I+lgD7gdD6XP9GO3Avwn8g+jjLhEXY+ijb3vLfIuB x5KoB/upDw8Oye9ezB/lPuPG/lrkwRz61uno80H/RPA4MjqBdyz41X1GvQsM xN5q9OHO+EP14cs070zqXjOX+2JR7j3luE/W5l7kw33TnHvTd+6jTdW9mrE+ +LqDrwLn7sq5lyGfSpNP9eApd3hqHvx/GP5fQF2dzPc45v1Z//WX3F8CeebI t0KfCfodwGMPPjPwqnvtW+xpiX2+2FsT+5vgD/U+uUPzLqfu2c94vwjmHr6T 940V3NP78/6Ryj1e3effo78B+s05V/W+Uoz7liv5Yg4PqfeezvB7L/g9hLpZ kboZTD+i3ntmMN+D9RPYH4+8fsgPRJ8B+tPB4wy+VuAtvlfiv4I91xnV+9ZC 7E/CH3PxT5HT//mOqd59mvCeNpl3ocG8t93n3eie5v1sPvIncm7qPaMH+VCC fLgGz5SGZz5Qr9Q9SUddXEhdVP1VOfqNn/StlfgOYX4+65PYr+TpUx8M0Xcd /TXAMwB87cEbAn71/qjs+469+Yzj8Ec0/nHRvPuqd8juvPP+5p3yF+MQ9gez fwfnMolzqUu8lybeneCRufBINw0/T6XuDaTulaCfaEU/UZU+TfW7beh/9/Jd jfnWrNdj/yDkqXvwCPSpd+Sp4FH4yoJX4Vf27Me+COwdi/01ed82YvTRvJNr 38dDNPOdNX7/rXmXj9DwxCQN/1bR1LV9mn5hoKYP267pbw9q7g2nNPcxD809 N0HzfmCseZeZq3nvita8I37RvM8O1Lx7+/6Xvyv8H9tDfM0= "], {Automatic, Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{3.9293693497657547`*^9, 3.929369540884904*^9, 3.92937002301022*^9, 3.929370089341247*^9, 3.929370861154868*^9, 3.92937181943524*^9, 3.929371995391281*^9, 3.9294184721702147`*^9, 3.929429827086987*^9, 3.929434283184037*^9}, CellLabel->"Out[15]=",ExpressionUUID->"637f66f1-f4a9-4a0a-9f46-43f948432525"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"Variante", " ", "1."}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"uu", "[", RowBox[{"x", ",", "y", ",", "tt"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "->", "All"}], ",", " ", RowBox[{"PlotLegends", "->", "Automatic"}], ",", RowBox[{"ColorFunction", "->", " ", "\"\\""}], ",", RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"PlotLabel", "->", RowBox[{"\"\\"", "<>", RowBox[{"ToString", "[", "tt", "]"}]}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"tt", ",", RowBox[{"{", RowBox[{"0", ",", "2", ",", "8", ",", "10"}], "}"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.929370053626657*^9, 3.929370102102271*^9}, { 3.929372003284135*^9, 3.929372058156893*^9}, {3.92952304900902*^9, 3.929523095291286*^9}, {3.929523943824102*^9, 3.92952394550529*^9}},ExpressionUUID->"6cad860a-6deb-4e9d-8a18-\ 437e9ff288df"], Cell[BoxData[ RowBox[{"{", RowBox[{ TemplateBox[{ Graphics3DBox[{ GraphicsComplex3DBox[CompressedData[" 1:eJx1nXmcj9X7/0dDyJYGyToYa7Yiy1jmtiVSkUhS2UkhSxpkl1ISIktSlvRB ydbYhnmTPSEU2YuQ7CRb/Jr3/XpeM/f5zXf+eT/ez/eZ677OdZ/lOst1TpH2 PZ/tdE9ERESXTBERkf99Pjb//l137xYL8Zn41OuFo2adWRZ6Inv0hJgixs/X G3a6R/N7ln+y48FjT0woYDz6dL8zA4t71b7OEjW0+8E8xi8V/HtU7OUTK9eH 5eQ03u2z4/02VOq36ttw+nuNV/qnZf9q5aJXLwvza0nwUiX6DJ64JtvqiPDf iUT4iq+Pxw58v3uNL/z0cfC2WfaNSE7/pS/fg9/88tWw/DW+PsbTv3Q2rM// fP2N/z1lTdajN06snODn13g75Xetbx/jF+v69tF34xER8WF78h27Zn39bt2+ A05V4zufP0z4KmHGn4/EYmf4tycq391UYuQq7AzPcnxL7MY6WROxMzzDznaJ jw+Zmoid4RMSRj08/vvH1mBn428XiGk6sPMa7AxP6PDAnBe7vLYGO8Pfneyn x87w1st9+dgZ/usOXx/sDL/+e4XHkvXHzvDbq5795co9I1dhZ3ihn0Yvztyx Six2hkdEjKv3nz1XYGfsV0jvi3Tweqt9+Xzn8+Kwkm989MXoGtgZ3jX91LuR 5y+YneGnB9Qq9ezNXrWwMzzxzwnfXvB21cLO8M5/ftAwtmuL2tgZXv96VIZ5 y3rXxs7w8UqPneHeSV8+dobPGOrrg53h1c59GtYfO8MHD/fzi53hZWUf7Awv IHtiZ+xUvs+X4fqCneE/FKtQM/n98v/w+JBvT77zuf/DMb+32FZnLXaGb49u enNm4+VrsTP8ce9EibWdiyRhZ/jvNz5b9M1ELwk72/uc4L13d3r9JOwMj7jp p8fOJkfysTP8O+mDneFVxvr6Y2f4I5OnhfOLneE1VH+xs+kTUaz88GsnVmJn 7PFu3F/h9go7wzOpvmNneLOBfnlALnyv9Oc7n/9W/bbuqks54rAzvN0LZ281 uzgiDjvbc9/OkuGpx1fHYWf4600mNX8wZmscdoYXUnrsDB8j+dgZPq66rw92 ht+W/tjZ8jHKzy92hmeXfbAzPCJizFvJ9sTO5Htx4gvh/sLaX/Hxaj+xM7yc 6jt2hjdU+eF58FeVX77z+fBTfZZX/vIXszPc2/zNvoxPnjc7w3Nve3H9wSnn zc7wxkqPneHPSj52hm+RPtgZ/p70x87woef8/GJn+FrZBzvDIyKqzk62J3Ym f17jC0OT+2vsDJ+t/gg7w7uoPcTO8Iuq79gZnl7lDT3g9WQfvvM5fVPzlxPH /2p2hvctWzSqbdbvzM7w3kqPneHPSD52hreTPtgZTvuDneHblV/sDM/0vm8f 7GxyIiJmJNszxf/w83G6z0PVkv2llP7S5/3a+f07dobXU3+U0h75fI7az5T6 4/O+qu8p79vn96t8ptIvzDvKnnznc2jTEsUvl402O8PzKz12ht8j+dgZvlb6 YGeTP97XHzvD31d+sbP5QZ18+2DnFH1DNZPtiZ3Rd+h7PYekLs/WzzjlGT7F Kc/wyJvB8gyPccoz/EmnPMN7OuUZfuThYHnms6FTnuEtnfIMH+mUZ/MTbwTL MzzdmWB5hu8aHSzPqd7/e6nLM3rNy9Q80D7DGywPts/wK6eC7TM8yWmf4d2d 9hneymmf4c2c9hmezWmf4U2c9pnPzk77DN/rtM/w6U77DD92Ntg+w2suD7bP KfUpsX/q9pnndzl2POBvwOd/3y3gb8B3fBD0N+AJjr8B31k96G/ANzr+Bryr 42/Atzj+Bny4429YO9E66G/wuahG0N+w9tvxN+DVhgT9Dfg42Qc7p7RPWQP+ Bs+ZOuVqeLyMneGDRixpktp/hif++2nAf4ZnGRv0n+EXHf8ZXs/xn+GnHP8Z nsPxn+FnbgT9Z/gSx3+G/+j4z3yWd/xneIMy0wP+M7zNhrxPp/afU9r77zpN /jvFf0ZeW2c8CK+35MFh615+18aD8HeGB8eD8MsDpwfGg/Aig4PjQfiYc8Hx IHyrMx6Ej3XGg/BbzngQ7p0LjgfhtYcEx4Pw6xWnBsaDfBYcERwPwuMP3pg3 cfi7Nh6Et3PGg/zfpCN3AvMb8L+c+Q34YGd+A35l5tZKqec34Jd2BOc3rFx8 E5zfgDeZHJzfgF9/JTi/AV8xOji/Aa/vzG/ANzjzG/BnNb7DXvDsKm9853N7 3X4N3jhSxuY34OeD80vMm3nXNw5Ma77OO5X2fJ1XOO35Om/09Ftpzdd5Ddtc TWu+zjv89Y2X05iv85rcvD4sjfk6r9DBy1XTmK/zvsh+6OM05uu8iN7VZ6cx X+cdrZjxrTTm67wGCRHh8bIzX+e1Tnu+znujXprzdf+1G8fC9pwWlpM1xGej qZ++2PLjYXEbwnLSGS+Sa/aFfcd3xa3yuQePEx/nfzceLzl8R14Zpec7nwfS Lx3XdeuFuLXh/J5MgifcO/6l2CePx33ic/u/ueLoAz8mOegDr+88l+csdeTA J4iTnufPctLDR4qTX36v6TwXfsTJL/xjJ7/wEc5z+Tzu5BfeVs9FH37/2nm/ 8Ged9wvv6rxfPvNO8+UM6J/j+hMTiob47LpyU84fJ0QkUH/hs0+882vU+euP 6bsHbxVMb/wLpUfPquHfo0LpB9etvG9SJ9OfevzOguJjeuaca/Yk/ZLy65e8 vG6scezxbYu47eVi/jA7k/59pYeTfqnS0z7Af6h09p252ZZbOn7fK46e8BnR FW/EVjpl+sB/OzmzUL3nLphfh7zuVXpt7Z/tmOlD+sNKj9485+Ig3z7YBT5M 9uH/4VOkD+0bvGb8myXq7Dpj+vN7LXH05/NM+YfXzvphkunP/5VXevQn/XtK T3lDfhmlp5yRfpvsT37hX+h9YS/4Qud9wbGz9ZviY1d2+7hmn/Xmb8Pjc194 d8OLg0xv8jHcyS+/t5Ic0vEZq/TWzyr9AenzqJ8v4xHKF/lFzlYnv/AlTn7h xySf9Oj7msqVzdsr/cvSn/dH+mp6L9iH9F6uoH1sHC05Ns+v9DUd+/B7VXHe O7/z3iknpC8kfbAb6duW8+1Dvvi/h51yy3O2Sj5ySZ/PKbek/0npeY+k36x6 xHd+3yCOnvx+7G2/niKX9BUr++0G+vP7IL0v9EfeO+WC7RV8rMoJcpFTV/LR g/R9pY/Tnnut027PvXlpt+deG6XnO+36mGB6Ww8d78iBzxcnv7RnZW9m7zMt 1ybLL7yyOOmx30SnvMEHOOUNHi87mx8ueRUd+dSD59Q+IB8+UPXC/Gf9Xz/J sfU12gdxW/8S36n6a+tf4kMdffg/2hPSwXc7cnj/Wb4O9pv83texs80ziPP/ 8Pskx3m/3mS9R6d/94aKx3TPXfFgQuYQn7kWf9akzuHlcTPC7+V2Ep+7Nzfr UDvbn3EVw3IivYTwcy/FVV/3d+SjQ87F8Z3fHxPPUDHfuITuOTz49Ae+Otmx xGJLx+97xWN9Hsrh81APh6Nni4U/vL9gzd440vF7b6UnHbyN0pMfeLubv2ys luOCyed3+DY/X5a+gZNfl7/v/789Z5XsRjrkNVJ67ACvKU56ntNYHLk8Z7Xk 8//I8xx9+JzlvEd4Z+WX7/zeVjyfb097j1/Innzn91nifOdzhlOu6N8e+l/E jX8Ln7f+jt/zilPO0SuDON/5PUJ8f877O8Y0Khbi8/h3gzfHfHFPgr578GPi 2JdyFF1ow9PPRf5s75dyNHvTned7bTljnH7+YP1dLca+eSFud/j7L0m8h0xn +yaVfmiapSdfo/rMPD/lp4PGSX8g27p5/dMlWjr4t0rPdysn2f302AHeTemx O3yR9Ke+wUspv3wf7ucj7uIZX3/yhb5N/wrmi/StHM7nAuWL7+j7jPR03pf3 e9rvyzsjTnuKP5Xd6U95L0vU79O/wNMrvfkH+NdKT3nmPXRV+ef/ec5ipUcP 5J13xh3wFUqPHPR60PE3kNdO/SB6UD6nj0g//aO1m+25/F9bpce+1u459Rc+ XPWU7/xfe6VHP/yyUZJPeuSNlBzS8X+jHX0od1lH+vrjZ/D+f9w36UqTAce+ oxxS7z5RubX6IPvtVL2DY6c5Tn3hPfTdvmnQmKMp8xf8Hi9O+eT3V8XRH36v 0y7x3PsdjvxWksN36tMXTn2BLxMn//xO+0P+4YdkB/SAj3LsAJ+j+mjzO+J9 HPuQ75zKF3Lgr0g+35HTSJx2Af6c8oV94E/puehP/evq9L/8XxvnfcGbiNNe UL52OeWKehThtHvUo2p7q782+taPpj+/r5D+/D/PLyQ51Af4Gqe9hTdxnsv/ LXHKOf/3tNJTT/DjjihffCffufb73EkfOpZ2+tABcfxmxrutV2aZ12LdBCuX b4f9xgdCeWrv7HkxcpH52bRDP+9cevLRbqcsPXZqn/N/NydcP2Acv3v2jny/ zhy7xTjl/YdX/v35ziPnTD7l0VvVeVzWEscsPe3QqH+6zl529E/j1I+rY98a lfeelH6Z8tX/1lcNE5vsSqlveu/tT92a+t3KFVau4BlUHrALvNO10UdnRw+1 8sB7y6j3hb3guXM2SVex3Rwbd8A/bRvV4e6xdVbf4ROc+g7/WfUdPeB1pSft MPyPPT6nH4L/KjnkC3sP03vnvcJ/0vslv9SPjnq/5BdeUOWE/MLn672TX/h2 vXfet83r671bv6X0w/XesQ/8mt477xv+ut47doPH6L3zPNqTGKe80c7Vd8oP 9j550pdj/qjkFZQc/p/nepLD/8MPnAyWQ35frvdI+0j6brID/S7PPaP3RftC +t9kZ8oD/ITsRrsDn6L3yzwF8o+t8MtJvP/eLX1TvXcbr4rfdOo7+egl/ZFL Ps447Qn5OCL94eTjrPTHbqRf4/jtpN/n+O3ke5zyiz7ku5LTHpLvp5RfOPm+ ovzyXOS3VvvAe0X+/L/99oT0yI9Xu2H9iuSfVrvh+FHez/sC7b/N/0SrX8Du 1L94+W/oQb0Prbv26tFRGe158IuHDieWvlna8oOci5tyf/R0/Hsmx+YvB/rz WsiB79J8OHKoryH5t8hF377Sk/oLf7BDt5aHtp239ornL03y9Yfz/KKHff3R g/QXBgbXNUi/V3pSr2kvq2odBE47t0jpqe+0l0uVL8o3cvbv8/WEI8c74OtJ OUbOjs2+nfmO3RgXIBe9qg8OrkfAF0hP5Ni8heTwXuD7HfnoO+GAr7/toxWf d9DXH/nk45D0t/bX6ffhtPcj1D7A3f6d/6f+bZEc/h8+0ukv4Fed/gLez+kv 4E3VX2AX+FNOew6/rfac8grvIX2wC/yY0z7DT0pP9KE9uK5+gX7d9rntCfoD Ni7fE/RvyUec9Ifzf/ulv81nqfww3kEfykVH+UXog18QpXYMTnnB/+G5pM+v dhVOOcLfgNv+I7W3cPR9w8kX+j6u98jzsHNePZfnwV/Sc3ke/Cs9l/oCn670 tOPwJ5z+EX5JcrAj9u8te6In77G040/afIvsSfmBH1V/R3uHfE/y0ZP0Y5z3 hbzDkoM9KdfdnHpKuf7dqdfI+cMpz+iVwyk/6NVP+iAHey9yygPp2zjlB3vf kp1t3Uv2fuVasP/F3qX0XL4zT58xX+zUPkcXmD3Jx7G/g/YkH084cpjXLyA5 5MfGpxkuHS09r5Jx2rO+mt+mfGPndFcXPNHwn+PWHvJ/H6q9JT38b7XncPQ9 cbJP+c9Kpfh16NlVetq6LHZ27GBxYJXfv7H2x1omB/2H3v74k3MfNrHn2r7U RTNePbzkL2ufkbfoEV+O+SuSlzvr6fvHLatl7Qvt2ATpz//b+Kbk0R4lM/Sq Dbd95dPzJex6fEdt5GL/Kl1iz/2ZN9bkU15y55q4tH7pz+KKhPV5yMrDuvPl PolcccH2V8MvLctS5+XuDyddPpDzfwndc9s4bmt06J9Q3KsmBzvvceTAS3wX lEO53rhuTIauE96MK+jLsfcVuuDLsfgs+FJfzjlfjtX3L4r4+qA38uZLDhx5 s5YE5aDPE+t9fWjX+L3u+qCetl4t+XAbB3xZceE7l87Xbl8zV6uYRnlN/rwf v1oUOy2vrYvxf4clx8Zd4rMkB32QN92RY3E/i/188TzS89zzE7P/cndIShxl r9LTzv/cqkLsM3fzrrh7t6DNt1w9keep6tWqVYOTfuOKq5EjLw9atX5vrg13 7+a19HEvLyi+tfyBlXDSf5S3SZP889Jpf1uUpc+Ut+TEWrU7r4JbvGSluzO6 fDg6sWn4udksfYZpXY5vaJxpNZz0Y08lzZ3TOnpNFdVP0o/Zt6vBu7fyr4aT vli6nhPnznl6jV+vrlj87OFcOf5d2yi2Bpz08dXzT/wpbxfthwxZXO03iqut 5Ke3cUypkvG3k+WQ3uJ1FB9KeotLbebLr8y6o+R0az318WT94aQvU8DX/2nf DpZ+7awRYfvASX/vad8+ldVukH7j6t6d6/xnf7jtW+98O2z/df57tPTn/vlj e8tqB1bCSd8gc9ITye/Xf25BS9/gD7/8wE3/S99NOzx/0CqVQ0t/9lzNItGD biXASb+w6JEO702uFEu5ZZ/mxHrvvThp+LBVlE/4yQVtP+5cbUQNyiF89g9P v7D+6nErh/DeC2uVePFMu1qUK4v33Hg+sXzulbUoP/C4WdPy/DvlsdqUE3j3 rjHD3s3dpjbv3dJrfzLvHf660vN+4TGSz3uENw35+vC+LI51ia8/7wWe67Om 4fxif4vn/dq3D3aG95U9sTPtd8lT8yaOWZkpETvDx4+Jr/P55VOJ2Bn+wpob q/6qWWUtdob/Uz333Co9vlqLneHFL1XvOGHsfUnYGV6izNanEmeWS8LO8JtN Jvy1PHedJOwMn6T99tgZnvMpPz12hk+RfOwMPyJ9sDN8o/THzvBVyi92tnyV 7R+2D3aGD+rxxsfJ9sTO9OM/PP7LiZee+cTsDI8L7aj1xD/damFn23f8TKmZ jQp+Y3aGZ1t+6NFOVe/Wxs7w2Jqjn3y+Wo847AOPydf033uHJMVhH/j1ddFZ Rmb7NA77wGs//9OlVQOKx2Ef+PFPfT8E+8Cflp7YB97yJz9f2Mfi8mUH7IM/ Nfn3PPcWzlJpDfaBXztbJfe3L28x+1g86ZIHn+keyp2EfeD9tjSNXD6/j9kB nvPepDxPHjtvdoDPOd53/pm6v5kd4BtHN+2b9Odis4PFP8lvxA7wkdIHO8Db XvH1xw4WV6v8Ygf888u3phQ+uaCD2cHiNw9HxEdnb1obO8BjsvWIWLmystnB 5Gi8gB3gjVpdHx1quNfsAE/6POeQOR+eNTvAu40eMPjTLb+aHeB7NY7ADvAS 0gc7wBtIf+wA/yzj1HB+sQP+0Z0OYyq8cbOL2QH+apbN31zL/rrZAf77lNbl d35f3ewAT7fKnxfFDvC+L/WPXl57kdkBnr9uu9J9XzlldoAvrujNOlXkuNkB vlvzzOQXHpKe5Be+sIufL/KL337Tee/w0s57h9eUnckXPNp5vxYH5rxfm9d3 3i+88rXg+4X/kjX4fuHdnfcLf915vxbfcDxY3+GF/grWdxvXO/UdHu/Ud/j9 Tn2HL3HqO/ykU9/hWyQfO8BnOPUd/sblYH2HRx8P1nfG+/sLHAn0CzZ/vj/Y L8BzOP0C/OgKv1/ADvCChaf+UXxkSvsP77k+2P7Db6ofwQ42v77Kl48d4Fef Drb/8L83Btt/+BLlFztYHOeBArNT+yHwjE8OCPgh8CmOHwIvEBv0Q+BFHT8E Xlp+AnaDF++evdmiJjXNr4C/7PgVpo/jV8APO34FfJHjV8A3dB8Q8CvgvZu3 nJParyC+57tPrzb9s/dI85Phc+p0T+yUyk+Gv3CtacBPhl/4Nugnw1v+EPST 4d84fjL8T8dPho92/GT4RcdPtjhpx0+28y22Bf1k+GeOnwx//dTTAT8Zvuut +KWdUvnJZs8hq3LVnTDS/GTipeY542j4QGe8DD/20dmGqcfF8D1LbwXGv/Aj x4LjXPg7eYPjWXiHpsFxK/zaK8FxqMUV1g+OQy0uL3twvAn/+1RwXAkvrfE7 dobPyDPsqdTjRHjdZ8YsevR1G3cY7zJgc81Zw0vauI91wFEX/HGiM1/hXdF8 hTMv4Q16e2l4XsKZf/CKH6gann9w5hm8pG8Prk4eRzvzCd5Hs74rlDwed+YN vOxfrL6RerwPj1IcnzM/4JXauumf5PTOeN878HWzd5PlO+N6r9RLNYpu/E8f Z/zuVXik0Iq4//R3xune+EP9E4pWPrDSGY97sRqPY08+a7W5lbPHkTJWbgv8 ln1M94NFQjmf3zm4TOxgK7dPlstR92CVoqGLH66pn7rcsl874afkuM6Ucvu/ jTkWJpwrGlp535fHvn42pdzu076dMu8Ujmk68HErtxlevj/fhDnFQmvm5P6v fNawcltZ8wPlP3y3TZ9U9kT/Z5pPCvsP2BP94/9Jfm5FK7fo//yDa0fkPfpR IvZE/7obG3kb69xebe2w9M+S48TZ0Tl7rMKe6F9wyZnFmTvmsfJ5uXPeJjGN CoZqjdveOvW8BJ+nj1xc/lqq9vbryQ/FHEwoFMqwLmlI6vY2c3j+tnBoyMWV F5rdTGlvK3XMdueJB6JDdZv1/6BDuxXW3rZflG1ZQvfo0OFMR6+W7prS3o67 na1bzNbo0AMDBrZovayutbdJmleZNSd7oB24JP3bj/g+puzqZ629Vb5DP9es VvVs4y21bLws/WuMq3tidZ9O1t7eJ/2PDkrKd7fNMWsHKkv/9Ef7ZBnyeUo7 gP6ZdI4W7QD6N/2izcDU8z+Z5kSdfWLCg6FWccF5iU7+PGeoU8eld4en8gf4 LLGowoup/YHCmre+Pe6ZWzMbp/gDb2fIMz2he77QLyVWVC6YL8UfOPBZnkwT YvKHDryY95lvJkbbvETVKg/27X4wf6jEvPt/3vNpLpuXmKh5ldG1g/1aRunf 8bX1H9yXvpb5Dx2lf8V63adufiif+Q/oH5svd8JD//lR2Dla+jdvcivHpq2P mP8wSPr//bp/7gF2Rv+fXo8fc/zqX6uxM/rv2zs1R60RKfM/hcL1KGdo6KSf A/7nQK0nbOyTL3pgKv/T368RFaq4Znb/xqn8Tz4b52j22WcXU+YlJtTNWfNg Qq7Q2X9ii8872d3884J6bq/1+4f3Xr3E/NIBem7FG7e3bG7R3/xSnvvkxZjo T2Zmjgu2k1GhC8X9dRPs87Ge2zhUd9CQVP7VRa1L3FxW9sNhxU+bf/VUnwdy TYjJE7o/cs/E1P5Vl/D7yhS6eDR3YJxSVOs8f5Zsv7pzu5RxysGw/bOEFu0/ tzD1OOUT7e+4NurQ3MkXUsYpnSX/1uO/TE4cfdbsEC35A7WfJDgfmDU0RPte yO+zsne8yg/5zcr+xlwRS19ulOKH+/Xx/tCTx4+dTu2H++tXN5J6ZJsaGIdO 1TpY60M9XyiTahzqy7+bdOH+jul/TTX/ENL+lPpD/X0d5LeI5N+YPmDu/MUH LL+fSH4X7acNzlenC43Vvhcr/+Fyck/oxdlxceeSUsZfVVWPFzb02zHy67/3 DKG9LYPjr11hv3pTUtmYcYF5hkStw3T5a+vpf1LNM2wK6/Nb0tzXqrz0SnQx Gy+skpxHutwdPn/CAsvXEsl5U+vO5Guh1pXOKC4P/Tdo3a1xwVvpCqUaR1dR O9Sz4aTAOLqinr+9xqTA+1qt9bLykoP+Y8N2Pht37cuSWfJXLGT683klffuO 2Rrtigv6h5fiYhWng57TtO60VvZBz5m+HeIOlRwXmN/w19cyeK2eD473H9Vz 3orz3xd69vffr7dY7zfoP6fz2g8Olqvzkl93w0/nCvxxzvTnc3WLKv3Sjf0j LujHpvN2vR0sV+n98hw3S+WZ/I7Tuu16lX/yW8gvz3Gn8wbnN9r59ct7YeXp 06nb1Uxa105fwK+P5Jd2jvaf/E7UPqUp2r9EflV/vWf/vXfcqb0/WH4zS36S 1t+Ra/352vc733x9QFxw3JTVa/Su3y5hh31+O+Zl+tVvx7BDQa3jdyznt3vY we/XMnnxx3IH6lcTv131Xuw5ZE7qfvyC1lsP7SkXbodtfOq3215JtdvYAX33 6Jwc7ID85z6aU2Twl6+ZHZD/eLW9zV4b8pzZAfmzrvv9EXL53PeA339hh1/8 fse7kOj3d9ihv9bh3+7v94/YQf2a1/W1w4H5jSp+/+vNubLl93F9Usbpv/r9 tbc/a/sZyf01dpB/4s1o4p+r4/gzXpT8AZv/l77tVX7wZ+RveGXq+v4GdpM/ 4LWtM/Vc4f07zQ+U/+Atk/+D3dDn8ZK+v4S9Ckmf3+RfYTc+B8sfw27oU77q d2H/DbvJX/I2LWgRmN+Qf+j91vybpNTjbvmT3vnJ33y+8epIG7/If/beuPbx fcn+p+Nve2U2+v6qrU/5/q331oe+f4vd0HeR+hH8QPnP3kj5z44f6L3rzG+g //X+vn+OndG/cmbfn8fO6N+6pe//Y+dM0j/pqj9ewL4LpP+s3/zxBXrzOfGB 2wtfSzW/gf4RXwTnNzL64zJvW49Sc8unGnezP3d9n0zLZ/yZMxY7z/PHTd7J pR2O12nYY5UzTvTyjzxeO3mchZ2b+OMyr7TGZdjZry9FvJiL/jgOO6NvVo37 nHGNd96Z30D/tl/440rsbPEmE/xxKHZG/+gs/rjVGSd6LTXOxc4aV3rZxvrj Yuyrcag3cuNP0TnfHWbzDHx+ucZvb/l+Qv7hM1u/rTepzPA47JBFftp3arfh peQHNg34gZFeLqW/3G/4kNYj1ln71krPeavIp/M/r9jbnjtQ/tL5/U1K9yq3 0XgB+W+ZWn65pvD32+25fG5Qv8n3ufLT2gf8tEivtn5fpvToM1zPXa/nIme9 /Jwa8ivgl+UvDZS/BJ8lf6O/wxfKPyEemXxlUj+eX/mCvyG/4sAzHSu88+XW uOB85u24DsoXvKzyt9vJ1/UKvnzPkf+r+s2Vi1q9uTvDO8Yfp39X/4v8QupP h+j9wtOpH6/8VvD97qZf3uaXH6f+hvaq/lJ/mG95tHuQX9T/bW5TskHGHyrG 8lzGR/lj/X4TPljjsl3X/XFZ8D3mDF3WOjL1l/FU2XF+v0z9na/18Qrjg+v4 zZS+qfpx5LMvvmiRQuPrfLXJ7Mn66Wqt15AePlPrO8hHTo21MdtKNP8tjvZq i8YXD8mfhLO/fr84z4Vnu1Hl2IGEbfZcOy9qwqUNzQb/ZXaAP1u00O6T+05b ejtXRutx6En6ZkqP3fzPy4l5WvnnwVIelvv+fNKGjjOv7PvyqOm/Q+OLUzrf A/0nK/1upYf/oXFN7Ldb59Ro+pvpaedq9Hto7dpn/rR8wctvvSfzpMxrTE/b L6fzLmz+WTzSSc8n+bJxh9KH9Fza5x3OuIn8jtL+uGYVgvn115t+i6utfMF7 ahz0u+xg+38kZ5WeS3rWMd/SOqntC1L6Y1v8fCGH9Kyn234h9qnmCtoHvldy eL8zpH9d6Y8dyG/9cqnP/7li+95rq/zY+JQ4C3HsDN+hcov8BLjGRzbfqPFC c9UjeCP54XfGBuv7XK1b/W+cX995LnK6qF7D35RfXVnzP7RvZ9Vuddc8Nu0Y n/cuyVt5b4mYWKfd8y477Z6dK38+sA/N9hOO07qDrcuovF3u2Tbi9Zop+WUd /2PtHwiW5xOJ9zYP1lPk/C05tg9N7/GauM2HiC9VObR9Yk56OO/RU7uEnqy3 fuzs/3H7TcpJL/WPc6Y/NmllyZR9AvHip9WPw09p3P3K7EYJGfItM/n0X4cc fyZKfksnhzPf1V/9IPa5oXmbspIf3Kd3O+lF9dfkl3meOpoHgI+QH7JB+SK/ 15W+kdLD8ZcSlJ7n7pbfwjkq5Bdey+H4OXGOn8O8yuPi6HlS9mzo6M98yErp g/zh8ls6Of4Y/syLDs8jf+NLx5/ED/nQ8UPY/875Ktini+YPIzT/AOe9jWmw 52Kxjw4YPy6/t/+d5eP+7vaH8fzyP7M8dHzHqDYnjDdUvrNn8Oej4FPVf5X+ oviy29VDZh8+b2v+iu8rlb6p0lNuq+n3wdKT9NM0f/VPZ38eDz5d7fCEli/8 0C7hO9Mnn9Ln07wfPFHpdzvpe6nfySF94Nk0j7RF86I2rpEfeyWvbx/eF/7M I077if/wfaA9j/Tw219y/FvajR+V3sYt2q+yw/Gv7Dwz+Vdw2vPO0sfsKT2r qb9APv5PR/WnyKE8t3H0pNz+T+XTxtd67vNOf9RD8+onNa8OZ37+fZVDOH5j Zu0Xgj+i+epin/nvBZ5F5fZvvRf0JG7Cc+p1bFZ/frhYl2C52iC/a79TTk6I 3xAnfTH9vtsp5+NVrh5QuUIf4ibqOO0PcSjtnPazoMrhmenB/P6j8c5B5Zf+ bor8nG0Pp76/gH7/ZNw8+TnI6aB2o4zaDTjj1med+kg5eUr72ZD/tXjbssHn 4h/+Jv+T8lZZdvtA8mkHPpLdfpEfCI9R+hmOPsxz/uuUq580LpvrlKuXNU87 zskvz5ko+ehPHFArxXHDqUd7FG8Op77XVfw++X1Cz3lT8oP7tK8lrdO+PvSh 3E4rly262J2NVg7hQ8VpT7Y5/RrPxf9Zon2S8Ci1k83ORj5au8/vps/9ykdI +aV8Iief9mHaOrjmAfpqHgD9iYP5psivmSO8b80+tG8lZB/yRfrjSm/zcuK9 Aus1kR7zD70dPtxJb/PMyu8zyi/60F6d1ntEnzYqV5kb+uUKznzCRJUr5BAf 9sjK4L5W5hk2Of0v6fdHtpq4e8sI43k1X71c67DwfZr3Xja2/I1Wr06x/DIf 1cFZl5yh8vmt1iWxA+X21yLHD/09boDxQ2qHa2qeBN5d7fbiszueX1Rgvsln nD5O64Ckp/w/IL8XzrpkXs3PwCuqPW/6fO9FBf/92coP8aFlHqhYLmPx81Zu sUPlI/66M/xDrSN80nPkkxP6pXPGmzm9kS/4++cpt6wXfOvMn/yldYqM1YLz Lchprf2Z2P+q5mfujQ2ua3yi9e4Jw4L6RCu/nZVf6h3ju5POvAf1pciQ4LyH nY8qO8Ozqr/oLfnoU0C8o/PcMSr/b532ywmcerFN61zIt/FmUb/8wF9UfSl5 zi8n1Iul6sejdM+IjbtVDg877ecCpc/upKe8Pa12A46fkEfpeV+s8/Zz2iU7 t6Oo385Qv+AFigbbn8uOHBtfOOvIyKd/f1rtM5z5hwLqN3ku6dsoPfn6H+md /pRy8pBjB+QfV78f9MOjQsPS++0MvIj2ezyidgbOvo4DamfgzCsuKOTvWw72 dzlDz+l+EzjlaKrTb4aUfqKTnvZqs1MeeO5rTvpE9ZtLHPuwP+Exxz74Lf2V Hv1Y9y9VITh/dedu8t8l6wcp50u1r4B+hPrFPoR6mheCPyo/s6nTz+KP3e88 F/9th/wByhvlpKbjx+L/PyQ/mfzOFL/XqUessz/q2Gee0mdx0tM+XHbeC8+l nqIP/dq1yGB5K6B+bYBT3vaoPS/1kV/ekL9a7e1F572z/n7I0SdJ6Rc56StK n95OOaQ936z0tg6r9/BK+mC/fEj1YoLqhe1/UPnJ6bxHOx+4Qur9JNk8/O28 Nyq8Urh5ReOXNO/xmDOvgj1rrO8T9dEzL5h82oexgXIS5VXX71dK+PuvSE/7 8I3Ss26YwPyz9p/Yfmnl6828xyceHpDBOPOfX2q/jcV7Kr9zlZ51uhVK/+YH 3YvVGJ/V9jO8JT9/+xz/ubafSnIaax7V4ivFp+Tx5ZOeelRb6eHUo0cdv5p1 7RPTQsMmfl7N5ikqaf39iNbf4RanEIg7iPLwk39UnBF6fs78huwJP6z2oWg3 325w/OppjfLU/6Z0Ci8tf7XC7907vxaf1cphpPR/8FNf/6AfW8D7NDJXeL0b Tjz7bMWzB/uXPF4GxW/CtR7knR8f5Pkl5/25vhzihJmvPeN9Gd4PwLyt7Wcc H/fovk9/q0a8K3xPyacLn585zO7TgddVnCbtPnyL4hPp7+FTFK9H+w4/fmtK qnXqE7Z/4VonP86L+gAfEOXvF7LzWMUbKj6I9gI+S/pgR3iPse+PTdafuAV4 S8X52n054nc/aRXeZ4s9WeefPWDm45sTB9k9XPCYBhdeGTdqs9kT/s1vr72f HF+MPeGF77zlx+nInvCZSX4cEPaEbz/nx0nZPZHixDliT/hriqfDnqan0mNP +PjTvnzsafvOtvj6YE/b11nSj7vBnvCmiqfGnvD3FOfOuoLtHyzxRYlWPTav sHtp2T87vtBTKfvqixn/YcvmcNy93VcrXq7OM+G4FbuvVpz4a7vnVfxhxYXZ fbXijytOze6rFY9S/CB2hu9SHKXdVyteTentvlrxzEt9+XZfrXh26WPnVojv kP4WzyPedrOfX7uvVnzwvNqpzpcoZnz3ijnhOIjgfU9RoQUn/fiU4P1QUaFn JvQKn4cQvAcqKjRI5wME74GKCt1V3FbwHqgoi78O3gMVFeqhOMHg/U1Rocni wfubokIzFa8XvL8pKlRa8WvB+5uiQiNW+noG72/6b/xUKZBf4x/lnB2OH8E+ Nn5VXA/2sXnfDa+Fz5ew8wjEF2zw462wD7yk4t2wj+13UPwg9rF5X80nUw7h nTUPTDm09JpHohzC45UeO8OJ38TONl7UeBw7w9+X/tgZPk3xbtjZ9h0E7WZ8 38Gq4fgd7Iw/VVnnkGBneJORMeFzP7AznHMn7P5s8ccUb4idbb+G9l1gZ1u3 0fw8doYnBtajT9g+rKKaZ8POtj6g9NjZ5pUlHzvDn9d8BXaG95P+2Bm+SPnF zvB52QN2M35zyIT3ku2GnfGb4nR+C3aG53vibjhuCzvb+oDiDbGzrbPJ78LO 8Hkah2JneHaNg4Lny11JahqYr+a84v/G5VovDp7rdSWpmNJjZ3geycfO8I+0 noudbX+izs3AzvAzyi92hg9rELCb8WYR8beS7Ra8HzmU2Ff3I8PxE+s79if9 Yd2zDLc4da/0zdTvhfS1tX8STvq+zvsi/bQ0718OJfZJ8/7lUGLONO9fDiW+ mub9yyFbxw/evxxKjE7z/uVQYmSa9y//N/5L8/7lUGK/NO9fDiW+IzvAscNl 5z2Sfq3uZYbb/mjn/ZL+77tJqe9rtvT/u3v039TvnfmAxk47ZvsQB59pkLod g1d02jH4ULUD2AFe1GkfLN7aaR/g3Zz2AX5vxLSGqdsHi686E+zv4IWWtQv0 d/Am3wf7O/h89Re8X/gK9XfkC97X6V9snmZbsH+Brw7qaXx+pbthPYPvJco7 WiDn56n9HIs7b+2fuxV8L1HepjVBP8e44+fAV8g/oZzDrzj+DJzzAYLvN8rb UD3oz8DzLQ76M/A/dgbyZfzNA2vrpvZnbNyfb2mr1H41fMDy+eG4YOwA7/xV 04BfDR/p+NXwOMevhpd3/Gp4Jsevhpdo7I+7aU/gWRy/Gr5ySdCvhkc5fjV8 keNXw2t+3zTgV8P79P7ihdR+NXxVtfw1/300xa9mv/Oofh2P1+owbFWwHhX0 Di0/Hxgnwu//PThOhC8fNyAwTrT4gA3BcSK875XgOBFezxknwjc540R4V2ec aOe1XAmOE03/TcFxInxA4fjAOBGeua5/3kKwXhf0mp1/LEfy/vBgvS7ocX6a M7/hZavjz2848xjep2nPY3g1czf7MI15DO+rtOcxvLUH0pzH8KppXsKZx/A+ b5/mPIb3fMY05zG8EmnPY3hD057H8MZrHsaZx/Dida6FM49h5wZgT/gZnS9H nDbzHgWe8O1GXDF80aae4ecSBwsfonhY4j/hlxQHSpwkvK3iJfdrvt7iKUv4 cXBnta8L/qri4IgTgxdVPCZxTfBTRc99lKwncUTwD7cOLZMcz0ucCfxlxVMT FwF/KOLr5PmxFcRRM18xaN+ScDwOcb/whxX/W0TrvnZOZCk//muK9hXBiQ9d q/UqeFfFCRL/Bq+dxY+DI17L5m2+8+PCiI+CN3n96KjkOCniZ+DRiisn3gN+ ebEfv886E/MGxRW/zDo0fKHidlk/hh9RPCD7deDXnrzxVOEN1ZOIK4O/ovg1 4qbgfR7047WJ84HXHHIle3K8EnEp8FHn9+9+N2ePVaxfMq4/pzhiW38Sb6V4 W+LE4LUUL0YcFHzr7rXheKiBgXsVo0LtNv7eIDl+h7gyi59QfBlxU/Ddk/34 KeJ84AmK96G9Yxy3QHFVxP/Ar17z44Aor/ilOxXfyvkF8K6KwyLeHu5pvpo4 cxtHaD2IuGv4be3nIT4Z/o/2QRHfCz+o/YHEncLZR0p8JryB9v9Qr+GHZ035 YFK+FhaPZ+MprQtQr+FXFUdGvYaXmuvHPXGOA/7wIMXVcu4A/KbiAYm3hz+g fdfsx4W/pf0e7LuFE6/N+jc8XuvUxKPC39W+X+q7xUlr/wPxh/D3FYdo8XLi sYqbo77DyyrOi/qO/9z5sr9/g3oKf0VxoNRTeHHFOVJP4Vtb+HF51FP4Q4oj o57ir/bW/Q7UU/jhgcF6an644iippxanq7g/4tPgMZu6hePU3tZ+Zfy3SMVN Ex9o552sWReOEySeDb5kwM6myX7g99rXRX1tqPhx6qmdn9Rx4JAL//WnxLNR 359SXNsA6WNxb9o3TrwZ/G4Lf38O8VrwUtq3Q7wW/JjittgXBZ+ifUTsf4L/ ojg49i3ZPJXKM/tibX+ZyjP7tuFVtQ7O/gz4IJVz9ofBB4izz96Vw/5sOPty iTeD/6S4M/Zn23OlP/vaKYfbZR/i0+DtZU/ix+BRiiMjfox2N53W0Rz/KnT7 7oKw/7DF6XfKOfetw8863PYJah8R+zVJf0PxSsQpkX6X9mcSpwSvqf0PxMMg 5wGtgxP/Q3rigIj/sfIp+exXw87ltJ8Z/eHrtF+adWuLA1O8BuvHNo8qTnwd PKP2cQXvr7+S1EJxOsH7XK4k1QjEhV3+/+KniKOjXxijeDryBa+u/dI8F/5i QP6JRNtXqHlL8mvnaCqei/zCdyiOCf3h6E/cGuWQ/bd27qTqQYLmn9kHYOc8 6T0G5yUivWWal+a5cPa3W3wR807q79hnBm+t9x4cb2bzemvdgXJLO9xT+wEo h/B4535t5PytdYqEgJ5RXnvFW2UI1kdvZwm/PhK3Ca+heChnHdw7q/QZgv6/ V17xUGudejdR9QVOvSDu6ROnfr1eIXifOOmJS0KO7Qtzygn8PvHgfUNXkpqq fAbv0Q4lvp3mPdqhxNnOPdqUt8maJ18beF+RXsipp1Z+xIPzWpFeJ61rIIf3 eNWxD/yWOOXQyq3aPeKsbN5VcT30Fzy3mvqLdI4fNUd+FHFZyL+jfpa4Kd5L Ce3zIf6K9udVyYl2+sehjr8HJ55ot9M/El+w1unv4MRl8X4byE8mrgm+XHYg LsvmsZWe52IH5K93eD1x4kngr0j/CQ5vIU6cCXy27FDI4R8493STX+KkiPew eGjFfTB+tHUZxXcQ1wE/oPgO4jrg5RTfQVwKvLTiU4hLgV9XvAZxUPDmkkO8 h60fabxDvAf8sOQQ/wDn3CriH+CztV+d+Ad4V42DKK/wt7VffYdT39eovhMP Q3nAbnOdduCE2gHirEifVfmlPvK+iHul/YE3V/vPvBnv/Uv1L9MCfn6kV8Lx EyweS/KD85nZvD1q/9mfTT3tqv3SyLf2U+3hcMdvbOmUWzunQeWTfGEH4naD 86LZvFHq19i3besX0mebU99rOvfLu/x9R0/aDeIA0Sde5QT7wB/QuifxgfD7 FSdIHKDF4en9EkcH36jyTBydjaNVnonfs32XGtcTvwffTnlzxr8vOff/8r4m an/1VMm3ODC1A8QTwjdJPnGVPPfubb++2PmQ4qNVX4gbgWdX/AjjIztnNxA/ csL2Sx/QPtWFjj/APlL2Jbv7q9mXjF7Par8x8wC893jn3luLq9O+d8oPvH1g H3uUlf/B2h/LflaL21B7QvwY/DnZh33n8Aqa/2F+AH5I+2yJG7R4XLVvxA3C 3wvEeXHOfChxSJr30oYSd2r/MPvR4dO1LrzB4W3EH3PkhwL2T1nXZl/0J85z f9Vzg/fVhhKraj/2AkdOZslhvzt8lta7Q46cMoF93ScSqRcx2k/Ce6ccnlO8 VfD+2VBiYclhnzH8BT03wUn/gNJTfpD/ksrPWif9w0ofvH82lEgcFvvR4RGy wxgnPfvS2S8OP6n3Fbx/NpR4RPt1k5z0c5W+opO+sN4v8wzYs79z/yztM3F2 u5301LuE/8OfJH4AOXEaTxE/AH8qEL92ws7TLS49iZ8kPeNo/Bn4V6qPwfFd lDdD90cQZ0V7MnvsrbvZSpVkfjJlPkT3spVy5idfce5dtXh33bs6w5mXm+Xc u4qepRRntCXQj0d5R517V0lfUv485ZP6+sHQ4L2rdn7bkCAnvxUlh3gqeH/1 v5RDO+//j+B9rBZPuT/IkROpfBE3Zfv0FD9FXBl2u0/zEsH9AJHeX9pvRrwZ dvhshB93FlzPzeY1a+XvuyOukvdIHBPvy+a9tQ+K/tTm+VWvKT9w7rkgDhN+ TO0M8rHPJe3Pf0D9MnZornKOHNr5dOqnaOeRP0j9EXEa8CnqR7ADfLH2jzEP ACeOxu5vFr+jeBbiM+0+B/Vf1Bc7/1LP3fZ/jIOwP7yXM28J7+3cj+mmD9av KC9S9iTelffeQvbkfdl8oNLjt8N/0jxJ8D7EK0mXZQfieeDdZAfieezcONmB 9Rfe7xLFv7AeQTl8TeNf1gHtPhDNJxOPaucQKy6V9UE454ARX2rzrqq/5MvO F1R8TT+nfcuZfmLg3knsz7lkwfFIlDdJ907Sj2DPb5oH75GETysd5Njnp4HN dtctdI+VN/h7Fz8pOL9qPrtf0vzJbB+U+3PATNatzC+66vnrVpz/Zfsetc5F u2Hjvjv9C058o18c52jTDzZVXEkNyee5rSSf/Q/w5dq3yfliyPlE++uIU4L3 UP9FHAt8sp7L/gTkl5D8sVo/gn8v/WdoPMJ6Sl7F4xxTPwvvpLik4HxUyvyh 3dOp9G/n9uOPOEcJPXsHzlNK8R+ID1royH+1XNCfh0cTP671R97LXq0/Bu+7 DCWOV1zPfEefV2Rn4q/Qv7/y209+gmufrRpHwGMUfxScl0uZR4WTfmIu3z5l 1P7AH5Ec7gmwfQjbxqztnn7wKs5HhpfWOhfnEcN36Tx87hVgXb5Lv88aJK+X cT6+xWVUCYXX1z5UfuE5W+881nVl5STm6+y8cK3T9df9BNTTlTp/knsC4Cd0 XwDn2sMzjPfXDdc6/kZbrb9MdPyEI7rPnfsPqO8rdI8D9xDAezT11z05N9/W 13R+Pue8w2/qvHfuUaB9i9V9ENwHAD+iew04vx5+Suu/nBtr581o/Zp5csrt oFn+Ojj3CsC5H4HzT+GjtH/AzskXf6Nh6vsmUvYzv/zcmheS76fgfgV4+1n+ PQsTnfZkhPbxcm4pPEH7dSmftPOv6j6LtY7fXkX9OOWQ/uXFRlvD+ysoh/Aq M/z9GNx7QT3a3Gn788n7Ori/AX51nn8uLvcNwEto38jc/6M+Ut7gHbV+wbnS tm9T50tT3qinZS/n3zP9w16ruDcC/vyI4vmS98NwzwH8/nL+ecic7w/Po/02 nIMP76b9Kpzrbedbaz/Pfs2TwIvqvGv8K9ufqf1ClGfWwf/QubiUZ/hPd2Yc Wz9u1CrKM/yDh/u/k7x/iXVA49Hlw/udOK8fvjqjvz9qhvwx+Hrtp+Jccvha 7b/inG74VZ3XzXgKPkXnV1O/bN/jbX8/GPWI+vGDzmHWPjTj3w8punjSrGGr tL/F+MV5S8PxiczbwNnnRhwy/Pen/X1xc9Sew7cX9ffRFdb4CL5b564zLw0f onPIOY/bzv/Tvj7tAzR+SPsAtW/Q+LrV/v7DLM66yUr5jekcf3K1OOfzUn/P 65xezsmFf6f1feavqL+ZdU4s5x6y/n5S57VyHivP3aNzRTiHkXbsLa3/ck4f 8kdqPYj9A6TfrPUXzqGD19f6C+fi2XhE6TlXyPw3zdsQFw3PKM75bsi5V+e8 welHemnegH0dpF8tPsOZ7/pe8zNbnHmqepr/4ZwC+K2t/jzPRGeeh3h/znlB nyK9/HEu57Zg/6VV/fHy1854M6TxzhRnHLRaPIv2rZn/rDjxhY4fy723xGPb +UBKT5y5ratq/1t+x3+LVzw1/g3l6q+M7es8nyflHii7lzVuc6PU90DBow4+ 3/no6JR7oODbijy3JOsLKfdAwUs8uHxY9yeecs/3Dm1dMfmjLo062vne8KuK m7b6I34lS7vhdzrXs3O84euGhJYP3ZPbzvG2e6Na/nFhUrkRtv8e/uarleon 94O0d/Aj6Yp8GT0/3u4ngu9TvcM+2C+254Xeqe91gsfvvPV+y8sp9zrBf+zw wqF6P6bc6wTvu+HehIT3Uu51gt/XZuri7qtbWhw9vJ32t2MH+JmLRZ6d/tlM OzceXvZK0ZJ3fm1m58bD71n4UpXVl/fZ/kxL/3Wl7gO/6G/nxsPz3OPbh/xi jxq3Ikq82/wr9z6CUJucZwcseSLlfiV45Pdv7Kicv6StB8DrL23Z78fVj1k7 YvHCikcmX3YPcME3G1/a/67dO2BxymuXtXt+W5GU+4i5N3JFm3B+yRd82Kvb G6U+r97Oh652ouzda93Nb7B9Snou8uHzb/p2Dp43GxW6XvR0oBzauewFg/f1 2HlL1/33iBx4cZVzdz9ttyeD993A76T364u7n9a9LwZe9t9/axZOdV8MfFHL qnVKtaiY5K5Dcc4n+YK3Vnr0hLdVeUZP+On1fjuAPrbv1LkXxuK/mj964cFU 9yvBF2fs/dmsN3s45/5FenmaNM30dO4NNv8I3+TcC2Pz5JJj95qJ/7LeL7fk y7jqL/mCt4nx2z30pL5mW733sVxjMpie8Puc+1ngtasHyyF8gepX8N6HbF7P rn47gz7wLjF++xzMV5SXXvU3mK8ob+9uvx0L5ivKeytb13D7b/vhJC/xWf+9 IAdeodulcDtpfhXnlBRe1DK5fwmei1jQa6BySDvgxvUE81XQ6zWvVcOhE4et cvoRb0b74D3LlK93ik4ePu3YoFWUP3gJPZf3584DIIfy+FKlGY2T9bf73MU/ P+H3C8iH/1Ki+pMz/ht3IB8+UeU5eB51VKhnu1ZhOwfvwYwKLVL/ErwHMypU X+8ROZSvLeqX7TwLxunt/XKCHPhLKlfItfG+2kPKAXyn5g/tvhuViyrq93ku nP6O59r8p/oFngvvrfpo41vx+Pm90veNTTJ94A01v0o5s/OnHTtT7sauCLY/ ds6r2iv0hL+j9g094Tu1LuDubxmidhI9bX1Z89voaXHZTvsJb6jy6c5XuPeC UQ9up3l/eiixbZr3p4cS96R5f3rKuvP/Nd9ocXSkT/Pe89D/d+859WD4nbaB fgr71X/H7+/QH/72lUD/aPMVNXf+E+5ng/1IlFfijt8vB/uRKO/rQD+ezdq3 oWpvzb/kXqPjsS8n+wnIh3f40/ejkA/PJj8Ee8LP6rnUH/jQgqnvf4y0djLz 96n7nWzGf1Q9RW94tNMO8H4uJg3v/MP5t1cF7VnQa1e3wzf9//P3gveRFfRq 5nk5nK9g/1XQK3bRt2ew/yroRctvod2Dv6R6RL5snkTtAPmC31X/FewHC3oL 9/jtXrAfLOjVGOu3t864xkuoXbL+7tPx7rjGa3rv6brJ79EZ13i1Zp8Ilx9n XOPl7eeXQ2dc49XM5PtXzn21XkH5M874xasvf8AZv3iPFPXbZ2f84i074I+z nPGL16P2pMap7yGCd7jv29Mz+w9bhZ7kY1KgnYw0f2CGePAe5Chrb20/ruQM cc6Vtf5I7Z7FOej/RiwaUee1e1PO1bf4BXHaBX6vrX3m6Gnn8TtysNN2tZ+k h5eR/pR/7POc9kujH88fo+cG5Ud6/fTcYPsQ6fWV3bAL+ZojjnzbTys5/D+/ w0ln5xM7+UXP7o59eH4h+bc2Xyx5G537m8hHPaXnu92T45x3bf659qOiB79P lT7oAR/plBP4RckJnhcdSlykfSzB859DiYW0j4jv5K+kON/5vbA4+YJ/K/lB fzKbt8jhlJ9izrnKpJ/t2Ifnl3bODUbOgbm+n0866suPjj8Dv7nCT48+2KO4 8sVzSb9b9Y70tt6tfJHO4iidc1nR80xk0G9BzlzFTwXHTf+Nk+Rf8R35J51z OGm3usqfCZ5D+J++OoeQ/+f3EUpPOvgRpf9/Q/IwtA== "], {{{ EdgeForm[], Directive[ Specularity[ GrayLevel[1], 3], RGBColor[0.880722, 0.611041, 0.142051], Lighting -> "Neutral"], GraphicsGroup3DBox[ TagBox[{ Polygon3DBox[CompressedData[" 1:eJxFnHkcVkP7xp9znjNnTiJCaJPsW1mirFFCFCWKQpEUSnlleSlkX0O2CEXI ln1fQmSXLWsIKdkSFdnid31d8/u8f8znvp45c+bMmTNz7/O0Hjii1/C8Vqtd F2q1uuiqoo1Ft9GPOVmt9pnKYv0er9/nin6lxpuoDFL9ZiqHFLVaG9FWouNV ugpvJbqXyhbC64j2VdlQuLloL5VmwivTRv28Lrybyicq66r8qGf8V3RNlR+E TxRdi/YqXXRPC9HGon+qDND9f4i2U/lFbRdqjNeonCM8V9duE75D+C/hW4Vv F/5T+E7h+4Rz0YtirdZeffYra7Ueoh1UJuna5ZqHK0VXUf3laneq8Ke6d2s9 a2O1aSF6oehPqj9dpab2m+p3S9U/qrKK2j4iupn6P0mXz9P1cepnlPBnunao +t2O+ROdKbqGShOVC9V+sNqMVPvrGZ/wArW/RNd+FR6r8pT6XV11T4p2Kzz+ DUR7qK6d8DK1+VF0ocrmKteqr5tVN0n93Vz3ey1U28nCV9FW+CbhK4R/EF6q e5aobKPSV78PUgkqt6vNBLVZIryFnrearleiN6hcLXyU6M0qy5hD0eUqA9X2 L9aF3vM/uvdMjaW76t5Xmz1V2ut9h6j+BNV/yHphLan0UpvOKlHlWj33PLWZ J3yP8C3Cvws/LHw3cy96r8qtgn+o/gnhB/gkXK/73ZepfqrwZOHfhG8Rvlp4 EWtQ+D3hDUU31ljfEd6A/jSOW9KYZqt8nPC5unai2nyke1fT+PcWbSz6jq6N yrxGN9Xvd0Vf0HufoT5bs6ZFu+v3GNZe6bVD/elpXpifVdTm88x7b4PM+2w9 lTN07UpdO034QNH1Wd9pz9xWup+9Rf9SmSJ8h+j+KuN031Ua73Dhtqr/SrRg HtP+/Vu/7xadKvqhynzh90Wv1PhnCc8Q3lXtu2W+f67Kl5n382saxxj2jujg zHzgzJr3Inv/LNHHGFdah8eWpl+I9leZUfP6/y73OPdWP1sJb6nSSe22jF6D 24geoLrdVPZhbtXuC7XfRPR+/f6Pys68j37Dy5bofdsIHyc8QrRp9L44UM/a XQ32Fd5W5WyVHVV2UPk+9/pfrHuHZt5TjGmKft8pulzX72CdCWeiO+n3VvSh 328wF4mPtS38HSP8T23aqOyi+ukqz6l0VHlQZYLKripPluZx54o+pXKy8PnM k+7bLHf7h0V3V5/7qM/eKp1V94bqLtN7HaTfe1Yaf831g0Q76Nq2Knswd/Cs 3GM7XmvsSHi87jtD79BX+EVdO134IOEZwj2FW8L/mCe17yT8sepGqPQUfkb1 x+iZY3mW6LMUxix6juh8temtUgnPEz0A/qt7v4J/itbVbgH8WfhklUOFX1af f6v9cpU+8H/V9xd9RfW52n8t/IXqDtF4egjvrvn5SPUvqP0FoseqrCRciJ6v dv9Vm9m6d8XCMuRr+AfP411Uv3lhXttQNGPB5J6Xw0RXZ50KTxQ9TGWVzLwY njxR87Zu7v0N72uk+xtn/tbt03y3VDmusPxaSbRVbnm3UPefn/k78Y1Oq5vv vanrJ/Fuwi8Jj9KzhsGL9Kw1CsvDb3R9f13bWWUv9bGX3n+06jdWm5GFecBa olsW5p1NRB/JLIuRVRnfXff+o/rHCvOd79TnsSr7Cj+ta4ep/mf4v+ouU7lQ eL7qf9WzLha+TH3MK6wPXCU6vO5vMU1tToEfqb4Za7EwX1mbtVp6Tw0T/a20 7Bif5Bp4se6dIHyd8M/C1wlfK/yT8F2JxyxifIVl3yJd31b93FSzvB6BzEl8 p51+/6zre2sv/FBY9k0QPTozL4InnVuYD6wrekzw2ltPcziGPS/8jp57Zt3z /67wdvV/xXptlHD7uvWjk4V3FKjg2cI7CKuL2hnC2wuXfFvWgvDqwqPZi3Xz pRP5hsINGItwF+FVWe/CHYQ1rNop7HXh1YRPZf8Lr8DagY8INxS+kP1ct552 knBX4TWExwj3EV5f+Bp4pXAz4YuE9xdujQwR7i7cVPgC4R7CLYQvZb8LNxe+ BP1EeFPhG4UPEF4XOSJ8MDJS+Hrh3sLrCV8tfIjwJsI3sEaF1xQ+G91BeEPh a4UPFN6ANZCbZy+HN6jsqfomoqerflfhFYUvFj5CeCvhW9B1hB8ULkUHqWwt fKvqp2UwZM2xyKbwEdFtWEPIAtX/qbZHq2yvuql8F33QrsJHqe4plYfg1byH Plxn4R66vq/uPT4zvz1G13ZQ/T26d6jwjsL35m4Dj/tHdWfr3kOETxbdSOUz 1XXVAjmR9aj2T6r9CcJ7CT8hPEB4c+FJyDnhlYTHCvcX3gw+Izw+epy9NZ5N 1OccXTtcfY6su/5x7i3Mn0rkptp8xTPU5o7CfGYe+0n9HAjPUT+Z6ldgvkS/ QlarbKQyTO32UfVTyEC1v1J1k9Tf57lleFe1v05118Lr0EvU5lXRp9VmR10r 0SPUx/el9+kaun6i6q9Q/eDCtgRr9QT0WF3bTXW7a5yXlpZZg0VfVN1kZHlh vruqyhHwR9HDM+vHzXLrJPDuFrl/U39FaV1pH9GFpfXftfScEfAd4ZHonqV1 mKGl9SFkO3rH8My6yyYq4+HdrJma6U4qfwhvmbmfy1U2yj1nS1gT8Ebh60rr DFur/K76OzOPB7tpUtI/f9V9n5bWhY4pPcfwJOb3YOGgsp/wOF3rIjyk9Hzs nlnGHFd6jD1Ep6nPl3hH0W/0+yK+DfpeZjl4uK69LXpqZtnTP7jvL9X+aZUX hdesW0+eLrw6VOU14Raiz6i8LNxU9DmVV4Wbiz7Ob+HVRJ9VeUW4Wd22GTYa es+Npdfk4XrmRaV1nEGi95fW6Y4UPUF0gEqDzPuG9dNL966tOWqZW3ZerHVw iugBojurNGKOqNPzBqjtq2r3oupmpDXJnK2cxtCUPnL3j+6wIrIcGVN6z/bS 2E4Ubih8qPCrdev864sOLM03VtH6WarfjZB96msb1V+j+ptFXyltq7wqemdp WXWX6PRkyz0vuo/W92ka733CbUqP8wnRN0rbujPTnDyEfI5en72FP0e+lban eFYn9XMl+kH0fDIn94p2rGzHHqH6nSvrpgOFDwvWi3jWQ6X1gIdFX0NnSs/F JkUf6BCt389K79JW/cxSP6NVv0ilr3AX+i+tuz4u+rbKF8LviR5Ven1eKbpf sB5IG2y9pmkN36ByWZqTI9MaQL8dlNYGeu8fdfPv29Me+UH1c0QHBK9n+Oqv atNObW5DVynN8x8V7aCytn5+rra/1837pyCLS8uCJar/rW7evgweqvqMvS26 POm0s5lH/a6rfhfR59Oaot3ItE65dgK2U2YZ0SszZl+xv1hjJ+n6pcgE1e2G flBa/zhLtGewznx9ab6B/dVCc7tBuof6q0rbU7NK87TThd8qrcd9nVmX26L0 3rlFdNPSvIPnnlFaFxrD903yCLl0Tmn7AjtjN33fz/WuZ+m5F5T2s1zIelbd 2+hC7HuVt4TXhceovCncGp0oM39Bd98D3SXZUewJ/Cb4TJ7gXVV6wtty62kb ag88mdnW2g/+CC/NfG93XTs0sy0A74SHwpcXpPftmp45LPG1yRprf9HNS9tn QxO/xQdyTGb7kW/Ct5mLHqDfN4qeU5i/9krf62fRnzLLg0bpGfBMZFnfzHYK 3/PQxDd+yewTwfZcUXO3i96tIXsks58Fno4t2D2zPTgs6b0rizZgr6n+dOHv Rb/LrMMfXbptUfqbwKewdZA1vAvyBrmEfFpas647OOFNEj6zZj/bkMwyenRp X8IUeKx+H5HZdrhJdGBmG+Q0XdtD1w6qrKfjX8C3sAN7JrdPhrWErNtP9AP2 eub6O1J77IQv1ccBwtsWnr9j09qA9yO/kd2TEv4O3SKzTM3Se/E+6O3/L2uR s9jw6IXohE8nvHLNa/5b0S6l9xRrZP+03kekORlb+B13S/PBvDFP8+u2AbEF OxaWM0MLXx+S7mUfMf+d0t7hPTqnvd43rZkuaQxt4c2l32lL0ZMy8zSusfa3 z+zXm6nnfqC6jUXvU3lUuGJPZeZ73yR5TN/oTu8mvgp/PTatSdbmNaV1ua3Z v6XvY/0ztxdk1pNuL+0j6ibaSHxmhL7jSqIPILPVfgXRg0v7LuaL9lVZX3PQ R2vgUeS96hujF6jMFF5H9DFkvPCqovfzW7iB6F38Fq7X7Q+8i/HreQ+iTwg3 FD2I8aDHqf+H9PtJ5p/vgMzjO1X2y+GjK0SvipZNyKjWueeBtXpJ6ffbs7QP opPqHsrtI0PO42t5N1h247fbobSfYf3Sez0kPoB+QT3fHh6L/rav6PEqfTLv U2Qsa/5b9f9y4XG8hPzOLJfR9ybWzdPgbR0K62/4nn8q7evYUPQvtT038++P 6vZTtRN9Q+V99EfRpaX9JBuX1nd4d9YocpJ1CM8ZXljv7Sz6nu75lH1AHyqf sfbQWVRmsx5EP1T5nHXCulOZI7wVfF3lY+HN4OW0g3/A41U+Yu2LfsLa1rM+ hq+qrIKOp3kdIPyu8Czhd9XudXQ00ctK+0vwJ+ELweeJP+SGzDKFd0HuDIRv Bcsa+OvwYHmK/odMRf/n3rGlvzX66sWldS34H/o7+uupaT2Mqtt38jr2bOE+ R4tOLO1bGRjMS8YnPvNsbv/TrsiBzHuVfYocQh7h9/tF184TnZ5bbp2V9u9b Sf7ip/0j1c/Sveeh6+ieHpW/Iffi7+J789153ql187/X1Odzua9jm/2Znvsl a6i0v2z/YN8Jz0Jnulp9n5HZr8ccoAeyLvG5YX8dXXgto0uwnnn3cZn5w0WF 7TJ04/GlYwUrlrbDiFUgG67KHEsYm8Y+Lo2fsV+exv9MaX/mNNFbS9fD6x4u vEaPFB0XPQb0mg3SvmP//VS3/XUE/sBoP9N7oudG+5bej/bTIc93KewHvT7x wz1K8zx0EvQv3hcdbGji20cnP9BFafzw0QnpXvQCbFTuOzB3LATb7InCttYX 2ATR7z6htM+Qe4dhK9ct0/CBPVvavhgWzCfOTHufOBf4YNGz1f541b2fOx5A jKBVWqc3pbWK3JuU+PMFCSMz9kw8bVRpvz334jR6pbDf/vgkt4k90Dc+/tsz +wGnJPlOe3g+17IyxQBSG2wO9t3HojNUbs7sA++WZMTYpI/cm9k+HZ32EfOA PopeupLaTs1s1+B/I95HPXOEnUWf2FqnFtZz3ykc/0Oety+sI6Ar8DxkOD56 5Djzd1+az5MK6x2vFvYVooucLHpx3XrNHD3zAY3jNGREtK2HXr5/krNPpP2I X/0ZlS7CPcv/xRmwfbCtQ7Tf7/HMeuCYwno0cbzHSt+LHcE40TnwSZXJr9Iz tcHH9EjpbzoxfUf28ZNpL8Nz0G/wFyDfsb/4Bmfp/ktF54q+nK5R3ybJceQ5 7/RiWrfPpndkzWNvTU/v9UzCHdP1Z9M8zEj37p94DTwH3vRCehbPwN8DT8Cf jh1H34cnveWVzLoLbRkf++nb0mNmDeBbqOfmIfAP8E9pb7BHpiUb4q3MNjux XGIhxBqODZZjp5a2i8HUYR/j08Fvgzxg7cHLLy8cL3tPzzgu+F2QBZ8Wtk8v FV09+bfxc+Onpz2++v8EywXkCHEz4mdj9Psl/R4uenqw3U08aExw7BG9Fp0W W36E6s8Ibkf7F0vHP9H5J+r3C4Vl9LjCfp05ae8sqHvP4afnfvp5vbR9/2nm fYmfYHbayzybMVwa7Uefk8b5pu65TLRR6TgXzyXu1SrpQvAabAxsDdb31br/ GvTuynoj8bh3RK9V3bzM184Kvo96/Ohfpr3MvmJ/wcdWKOxLIx5ynco3mePa xAGxvz4oHddANzih5tgH8cGR6Dal687Rc84OrqP9wjRO3icG30uclPgFtg8x cmx7bHzel7aLUnv6os/ZvFPq67PSc/VDmnN0FfqhDXFn7LjrC9toi9P3wq6j nnjlttHfcm7p98MGw/6if9oTi0TnQ8bSD3X0ha23quob5+ZBy9BRRBuKLs1t 795UmBehH6D3z9O1XzPHWMkj+DcOrnY31k25j+vYwNi/8BB0AmKQraNjYAdo DpoRUFDbBfD4wnrGraLrRMfIvlb9P5nbEy87vm4f7/P41euW5+gdxOKxtRnn 6LpjWDP5DqXj+U1Fz4uOq3wiOlXtrlebe0XvLGx34EtuHh0nOyJ43PRJ/HSw 7ttDbR6BV6vdDTXHYO5LmDri+FVuO5xcgjL3NWwBYvvNRPPc/aNTLk3zPzH1 S//40/HdNcytY+O3Wzk3D1qKLiH8aG7aKN2zhmiT3N8MXYt69O0VcvdDPHWI +t2z5nu3y52zQVzt99LzsHrSeXgW8cdv6+Z/xNDQK1bLnXOC3Q/GnscnjW96 ROIbzXPHH5unevjec4V59vOF46f4Kp8RXSu37xLd+PnUhvo/Sl/D9vyxbh2I mBjtuLee/c8/3iTxYuwK9PCPEobvQNdOmLE0T+Ocle4FoxfcmfYavk14xXLR u+H1euaOlX3Q2Nb4PPOU90Kg7NzgvIjttF7akNehPoPaHCE6iGerXaE2U5Gx wTkS1G8iunl03g7tJwkfm/yT7xWWgR8Uvod7sS0XJxnQAFmt+ntUv3Lwvtk7 raWOpX25+HRPC5YVPGtosDxcPzqWj128YvD99INtvHO0Hb296NGiQ3Nf+7uw 75SYKnGQw3P3s4XKUcJbiT6iPqep7Sp1x5Rpw1i3jp4f5onYLWvt7+D7jlN5 GlmW+3k8C97Fc8l/IMjYNrd/8p2kd71VpFhD/r9cEXQ19LTLo3XJ7vpe59QT f9a19XLzcX7Dy8HYbsQ1Ns6t875eWC7NLJw7QJ4WMn1mqmcd/BufzS1b/ik9 Hnyty9OaQY+bVTj/4V3RP0vre+ir96RxovPxTuRJkCNBTJ/cjw8Lf2++O/fu WNb+Nejw+z6QOTeiYxo774MNip7QLndMf3ZaG4vT+MmBQK5D2yX8cdKTedbb hXMtmM9/805y24mswWG587dWSGu7gehZda+lWbrWre546ITcMVbilZOF+wl3 YA/ljpluJ3xX7jlBnzxP9MfSfGhlfatearOl8M2sleC48HvBdgz2DDrZfmqz BXJHv1tG5z7Bw3ctzQPwYR9Xtw2H7dtbpU9uGbG4NF/sEhxX7ST8YG4fAnGf lnXHQaYLN6k7HoTfZiXRF+pemyuLPq/yFLqK6NrR/HN39fka1+C7op1V1hEe p/4HCu+KLBA+Pzq3pBW6oeo7Ct+XO5bdWvgK9orwLsL3545d3q55+jtaBvVJ MpF8tL5JjiBbkDHIks4JI2vIlUDngDcR8++R5vDihLFRz46OkS6P7me/dC95 Ruhh6GD9RPvn1gHII6INsUXy9FbV2EJlu7Jn7rgn8q1nGtuSwjxvtcJ5Yt1y 596QJwImV+QQ0UNzzyMx31uQ2dH6APXI+jK9LzIbfaRfGg8xbGLBj+XWC3qn b72scBvyD/Hpkm+Hrous3Cd3LBkdivlBF0Lm8r7oPL8XloVfpP20Tdr76+s9 Z2D3alzfFp4n/OsLCutuX1EXnWPypujuyY7FD/1EsP9whOqfDeaNI4UfC/aL Dhd+MthXeZzwxsJrCXcS3lK4lXBn4aej8wmIST0YnWewq2gHbHXWIXw4eO3t JrxV8LpiXxLLao8+o/d5KthX+Z/od3qDNSn6XLAv9ATVL4he97zv1GA/59G8 e7QvjBjZzOB7T2NswfuFffNgsI90mOofCvZzEmt9XPgR+IrqHwjOQR0avZfY U4H7guXRMdH7jX2HL3d6sD/2RNXvXff7Xqd32anuuToHHqo2bYX3iLYd1snt P+sYzDf2VH2nYB4FD9g1mOd0Vf12peNlxM26qX5n4W48K3ifdo/2909NdsQ+ wft63+jn8Dzsje7B+3efaNuFevwh2wXzSXhhP+Huwj3U5uDgHKT9ovnDL7o+ FZmr+oP5duyFYJ/kLsJTovNveO91gvMK4B99g3MYeiKHg/OpDojOe0A37hWd YzpEuHd0TJn4DjGoE5HBqu+j+pODc4EOEj5F+BjhA4XfDPaNny78VnBc7Azh t4PjZWOEH84cR2GvzU22P7EW/Bfs13+C8/LIz/vXnoren9RT1z7Vx2hdkhjR CtF7q1dl3yxxEvIpvsytL7XWtY5qMzLpKvg7zlJ9vXTsd8fccbR/cq/hewrb ZO0T//k88Sh41ZF1yyPyDRvwHrn3zMLC+viiwrmgnXLbWL1K21jDk53IO8Db JkTfi1ybn/gDfGJZ4i3wGPIwiSNiT5Aj2jG3jbsoPet70c8K6ybkGt8UnDNG zIFELGQfsYRJwfljh+tZLwfnRfxX+NXg/IRThV8Jzmc4JToPG3neF/kZnNt5 lPDV+KmFDxV+KThH4mTh54NzHk4Sfic4TnomvCFYViIziZl/ItwWWRqcLzFK bV4Plq3I2KuCc+r6Y7sH53WTB0feGrKIvBXiMthVO0XHa7Ahie8TT0EWkQ87 UfeOV/sBwjcG58sdJnxHcH77YOE7hacIHyk8OThmMUj4guAcyH7CY4VPYT9G 59QRRyVX5a7gnPkhyKLg3BViNStF697YazcmnzC+4SbBuWrvB/txyE8gd2NJ tOyHtyyOluvwn4ej89K+Vvul0blH8JlfovMR4TO/RucXwkOeis4bWwjPjs45 +174p2gdC57/ZHTe2w+q/zHpUvD/hdE6E7Ljm2gdZV2N+edo/QM+2Uj7amzd 62HzynER1kybyrETvuM90bl6X8DDKsfLWQ8bVo6RIy82qhw7hz8/FJ1jNx+b gjynuud8pco+kXbCm1aOEbJWN6scm2F9blI5VsTauzs6P2wOsjE6D+87ZFF0 ntxnwkXlnODL4RXCF9bNuxoIX1A376pXjg08pzbNkmyFf2KzYG/sKPpndN4t fJjkRnIi4b33BdsmtPknOm8VXtoiOLfwE9Gsct4k/Pax6Bzib1mP0fmOs9ln 0fmLnyIDo3MNFwh/F60vwtt/iNankfvLonOOkS+/R+fIIi9WrOwrfBm9SLgK zsuNlXN84e1V5Txg+Pkf0XnGyIVHo/Mdv2EOgnMmPxLdRu0/qTtueG90/uWX fKfKMTz2+0H63U/tf0eeBOdO/8bar3y2hP24euUzJ+xHYmfEl4hLNqmcRw6P Ik8P/zEx5J11/07CPwefjcGWIpee8wXwZvTLC/geon9Fxz2bZ86zXTfpNsi+ VSvn0cJbyAPG78gZAfJc0X3PFu0TnOO9THRwknd/BPub8COtDj8p7Cv7ET9Q 9NmaXH03rpybC2/k/A456pcUznMmFkCcYc3KcW54ziqVc4jhLeQDE2+4u/A5 IGJbxLjWC84pZU+tH5xHypxzRoKzDI+LtgzOR2XNbFA5Po3euEZwbu0Hok2D c00/Rq+pHPtELq8ZnFP6IfpXdI7svOAzROQJkC9wX3Se7lzVb105hoocvz86 J/Ur9KbK8Vd0vC0rx1/RAci7Jl5D3Gbdyvlw6K4bBee78qw1KsfL4b0bBOfl 8qwNg/Ng6b95cC4ue2S9yvl26KXYhsjgRaJrB+fost+bFo6rkFeJ/XUwule0 TYVtBa/A1ltR9UtKnzPaSG13Ud87Beev/iTaPjjnCr46IfhMzRrYiJV1d+JE nAmbrPomqr85WH9A/k5Lcg1d95nguHBrfMbR9iF4SnBubQt8acFnc9YUnhed y9tKeH50Du46wrerzcNq0xKfZ3Cub3NsW42nT2GfeVvVt6mZt7yh3xfV7T8h ToTu9aDozOjzNuB3os9uNRDeLDifGbnzWjRv/IuxR/PM5cKDKvun2qpu62A9 Gdth8+C8XPjVDSq3Ca+lPr+KPoO0tnCb4JxeeMs3uf2OnM8an/QWZD3+U/yc TXTfI8H2MvNAbj059ivAf4JtAfrsV9nHuld0viY6Cd9yRnDOA7oHeRFza85h ezjpJNgabwTnBqB7vBgcx0f2bRR9Bm003yTYNkG+nx98vq9Um3HB58Ial25H e+bnwuBzWLH0GSH8R9cgN4LPxzGfN0Sf92qosV+s3+cjTuCF0f40/Grot9jn FTxZbV6oeQ1cEXwma1XhS5OOxLe7Uvga4dVKx+8e1XPPLBxfeyzxtx0q50Of ojafRp9nY91+IHx13ef4tg/2w2CDfBZ9Fo41Pzf6/Bhr78voM2as2y+iz4yx DudEn5djDX8Yfc6Q+ZklfEXdcYEdgvPMf2SfBeeNLxL9PPq8GWtmtvANdfuW P44+28Z73RJ93gB+dWv0WQJk023RZwzgb5OjzwnA9+6IPhuA/N00OPcefeOA yrEcvsuz0Tnl7PePos9wMrfTovP1GedN0ecT8DXdHH3OAV3umegzAIz/3eiz i6zPt6P1Gb7p89G59UuDc6/xQXLujNwa/IicKeOsCvZFrrYvR+fEI0N30jgv qdtOeSX6DBLyqF1wbj96znPRufLIx7ei9TTW3qvR55f+DM7HQB5xdor4L3Fe 4r3bBOeLoitOjz4zsJj5KZ1jR57kjOic/l9V36d0DiK5mi9G59kjK7cNzilF t+ydzpY0Ym4q+w2vi84pxx4iJ/CF6DMDvwTneWPTkPv3UvQZAHSGMvr8GOuf PHvyE8jRXatyrhU6/PfRdj7+jSG65+ia3/ffPKfMZ9/I1WcfdKucd0Fux5DC OhF+S3yVxArx9RKjI6+U/FJ8s5wdw14nTkj+Azki5OyT20GOx4WF/dXH5NZX 8ck3VNsjK/vAOTTM74GFfWo8F37MeU/OfeIj5Xwu53T3UrtuNc8z/nH83fDY rsHnI5gr+AM++MGVc9jQORuL3p17T/1WOL42UfTAyvk65K9MKZwzTY4WOdJ7 Bp+zYE0S/yXWi65IXgfxaXRgzmyQB96jcO5xnvyxxJfJdbys8Hk24uzvFz4L SV3PyjFfzoFeUThWTQz6k8L+E/KL21e2z7HTOYdIDjn5jPg1yE/Gj/1m4fyZ UaIdKp/l4xzEXYVz4eh7v8r+YvjVQ4Vt6p95TuVcBHzI+JLJbSbfeIfCeTt8 t30rn2dBLiAfDi2cazQ56XXEPoYmXo0fm9gIeZLkm5F3Nj/Z+V8X1osPytw/ +W8HCm8v/N/S+TtdKsdZ2iTfNnEK5qx/ZT88/nfmhxx3ct3Jh8fvum+Sg5wZ J2ZN7Jp8vO1EO1fOMRud2a4hn4p8BfIxFibfAToqfkh8td8V1hE4G8sZWfwS 5CezT+Ex+K3IV8U3PjJ9d3wdXXPPKb4U9mNd81CP9n0OqIzxz+CnwQ9D3i/5 v4cXzkGaVjgnjfyeAYVznMhLIveqVdLN8NHin2EtD6ls22Pjk6tPjIxnHlH5 PEK/zLnZ+FHPqTkmxl5lz3LWtnOw3x7fHfE4zu1yfpc8HOIio5LPBB/TnMK5 vuje5CCTq4/tgA3BmBgbe4pcJs6ZcP6GOALnnjjbxBkDbHlsenJ1iDORn0Pe OfnnyNmLo/O1yNviXM+gmnMxPsytGzAGYkOcy4JPEhfGT/9r4f8IwC9F/jCx aeJ2+PrJGUN3It7OOUNi/28UlrHEZzlbz/kd8nb5b4ElSdfdOzoOjh8cHzrx a+LKd6W1Sn4Y+ePEvvGB9a0cW/8n8ZCmlfNl8XuQl7ug5rOq/NcA8SVyQVtW zovFZ0tch/jOg4V1dHR19DT+1wCfK+eYvikck2B9tqp89gbfL+eQ2yU5tU7l 8zz4wFtXPnuDn7xZ5ZxafFOc/5pfc94oZxrJi2BvctZsXs35p3ckXx3n3fgu 5I1urz7WrnxuB1/0bsHnIJCD6ETkrOM/RCYyn8wrMW7yHrC/OM9P/iE8l/PR yEf2J2duyTGaXvgMLGd/Thc9uHJMnW9BzJrrh1Q+s0MeEufPyKtmbpnj5ik/ GL86eQjE3Im9t0h5yfjAiWMSNyR+yHkNcnp3Kny2ljg354PwW+G/4uw2Z3uq tIb5bwd41baVY5rEOFlL/+pfuf9HAfuaMyCcA+pfOI+UvUwexV+JZxJzJ5+A /U4sldxgcoT/D8KIQaA= "]], Polygon3DBox[CompressedData[" 1:eJxFnAf4l9P/xp/9fEulNJSGNiIJUWlpS6LSLiqVZGRk0y+UGZEtq2wNe5Ns skdEKKQi2WTW/365z3X9r6tzfc/9nPOczzPOeZ/7fb/fT03GTx10XBJF0U5Z FOlf9FgeRS/p79NpFO1YEUUrhGsKn6ZO88so+kS4nvD5wncJLxN+U/gl9W+h /vWE9SfaT/hOtddQ6ae+b6rkanhS7a+ofanamwgXRRTNEv5S7W+p7xNqf1n4 GbU3VvsqXdSeajtOxz7Q3xnq87bqzdS+p9qfVf83hF8Ubi7cVngP4UHC36vv KuEdhC/UuXcL7yPcUni42p8W/lC4lvAZal8g/Hzu8V9R+04a704dbyccxVH0 J+eo/TXBZao3U/vJwqfyPIRL4U+F6wtfrPPu0XifCTcQni18r/BE4SOFz1b/ rVyPyjFqq9DxQuc/pb+vqv1ZtTcV/ki4tvBZ6nOb+n4l3EL4GuH7hSfp+XXX tQ3h/an/9NLvo4nO30N4R+HR6ttHxxqpHqu0Fd5f59yvc9/WeJ+pbUXoX6Fj FwivVZ931PdljdtE9U06VkP1xer/pOoPqX999X9B+B3hV4V3Fn5VfZqrf1ON f5LqU9R+jNrPUXus9reEP+VdCrcRnix8tPAMYSZOZf3+Jaqu1xjv6fffU/sa 4ZVq30vtjcP9PKbyh+o7qX17tR+g9geF3xH+XPhD4bbqX0njXSy8Tv3fVfu7 al8t/FGYPw8KP8u8F24o/JzwW8IvC7cUfkX30EznnqRjM3XsA7Vvp/opOnar xnta47+me71Y/VL1P6f082gervfs0vOzcbjf/5Uev2m4vt913nCNdaOO3af6 ptzzjXn3lPr21bEjNf4uKqt17CDhE1XvqvKwcAP1Gaa/lwgv1rW8pfZWwntH nq/Pqj6Nd6FyvPDaMP+v1fEHdO4DwkuFH1VbA65H+EDhJ9X+otofEl4m/Lja G6m9jXAb4YHCm9Q+Qng0z0P4T+E7wm9vUfldx/qp/SDVj1H9V7W3F95XeKTw j8ItS8+P93XeNhp/gNoPEZ6q9s1qO0j4YOHjhH8X/kK4mfBV6r9E+G/d71jV j9Wxc9Vnjdqbqn6lji1W+wbh3YRvFn5U+PrSz4fnNEa/97Xad1H7PB17SG3r hFsJ3yj8sPB3ue+H+3pSeF+VY1U/Rcd2VX0vlSnCDTVeVY33XWnbiI3cRedu VNlL9dt17Am1/STcSXiJ8DKeh8rJwpV1fKLO31d/9xEeoXv5QW09wvk8y33U fqyOPcJSCfb5PrUvFq6OXRHeT+0nJD5G288q3VmvOvac2n4T7if8hPALwv2F Bwgfq/F+E/5ReD/hxWp/VniL8FnCnwm/IZwLT1b9aR2rxjUKd1R9kY4tVXun 1Lb/HOFzVb5Xewe1L1T9GbU3UxmDvRBOdL2/qv0A5pfw82pbKVxHeLrw7cLf Cu8pfJvw48Jfauz1XK/mc3898xYqfwhPET5Q9ZPU5xlsVdiPjhd+XHibYE+n Cj/G8w77T23hARp7qI4dod9qrDF+jbzmDlC9FnMw2M9D1X5mafvfQOe31vlf 6lhz4avV5z61fRzs0QzhO4R3UBnCvals4d2wx6m9Stg//tBvjFJb+/CMdtb5 O6neT+0b1fdz4YbCl6ltofA1WuPn69p+03n/Cu+v9m5qH6/+vwhPK72etwv2 6+TS9q1m2M+6qH8X4bHCP9Ff4w3XeKuE91Z7v8zPcg+Vb/Wb69V/V/W/SfVH 1L8xz0i4u/p/K/yNcGvhW7DJ7BfCHwi/rvauGu/U0nyirvAuwt3U3lV4nPDP ajultH2pFfaPM0rvf/WFdxO+mT1O+K3E++Oo3PPnVLX/xV4gfBj8RPhv4dNK 84d6wq3U//TSfGMH4V0rvCZ3Fj4w9Vp9XeVTjX0GY8BlVFZhj9S+u/o/r+cz R89irI49p/qTej6zVa+NfVb94My2NVXZqnMuyFzfnvWj+vMq9VSvy3pXfR37 pup11KeK8EL2beFdhfuovjTzuZzDubcyv+EeKr/q2BXCUyOP8YLq83RNl6mt h44domufpGNzhafzDFRfo37n8f6xP5nHYKzfVW7StZygYzuo3ljHX8q83zeI veex901VOR7uwH6g+kiVlmpvKbxc9ddYg3AdHTtF9Yd1PVeqfi42R/V7dSxR +0ThN/T3QeFKiW3cPfo7LDNX+FTlStVvUWkX+57nqz5ZZXfVf1S5UfXPNOYm 1b9TfQh8Qvgz4bXCg4RfS7wfV1Y5Xfe3QMf/oV2/N4bnlXmsn1S+Ud/j4S+q z+Zdsh9ovCXqe7fO7Qz/0vHxwi+oz0rVa6qswPbo3F9UP5T3Jfy2yiWq/6Dz K6utl875XvVKOvY6tkTHflb9TpWtse3NczxDlVd5dipn6Ddnqv1x1Q9S2TvM h8Hwwdjz6ZvC84V5M1zXt0R/C7i1yiLVj1O5keejc77WeFPV/2DhaxiPd6Py P9Xrq0xWfaH6ZCr3Y2P1LJ5IvRZZk+z9a7D5wg+wh+V+/zPC+fVV/1rtddT+ vNofUfta4drCzwk/nPv5z4SfCp+g48fpNwcI99T1DlL92ML3yj0fovrnOv9P uK763wA3Ff4Dbi58vfBAlZ7wR417GHxb7ZvxTXTsOrV9IvyL8A3Cf2i8W+AN cDXhdsK3qdzEuxduo/oq9f+BPsIbhQ/XuBeofYLwmann59nC9VTqqn65+pyl ekXg2/MLP9tb1P9W1dfonG3hMjqWqM9ElcMjH3sYLqdyldouxWZnPodzWYvD NN6m1Gu1v/rspfYHVCqEy8T88IDS64d1NLLC13shtlpjHBbm4+nC26pUVb2f +leB27DPqP8XwgVcGU6j5zVLv39y6D9B9a/UXjU1x4frf6ljv2ArdP5Q9ju1 l2p/CI6am0PCJfFJWgpfoP6nqn8NlYnYptL2o7XO71ZhnwXfhT2zhfqfr+PP xOa8f6W2dzyPzWH9r9QYG1S/nnvT+esyr/85zG/V31NprfHaqHyo+rsqu8Ft WU+qf67zf1C9Hzam8HreI7EP9LHq26jspXoPte+m+veZ7/dmjb8p85iMvXvi OXdh5rnDGNiDL1W6sPdh81S/lGuIbUN7qv4n81TtI1U2q76ssD3ALuAvvK2/ uya+Zq4dO4Q9wiYPwr6q//uxbf6r+Gsqq4VbqMxVvZ369FV9P53/heqXZfaV uadPM3MQuAicqq6e91Xcn+pdE9tM+M0WnX+76uN0PR9ozLXCP6jPO8xttX8t /FHi519VuLvqG9R/rPDGzGu5t8oPqv+d2rb3Ef4xs83D9uHDf5K5D317JX6+ 16msj30P16r+SOZnVQO+nlk3QD+IVM7S2FfzzGPvQSMy22BscQeV1aqvLmzb D1Q5QfX1Ora/2rolni+PBi4Hp/s1sw3GFsMB4VQNS/tj+GXjK8zb4G//arwT 9fvvs0ZU30nlqsIcFa6Kj759br7wptpqs18V5sMz2YMT6yFVc3Pn44Wr5fYb 8B8mcY/Cu5fm1/DsCRVet6xffKZ72XM0ZlWet/DPqtdSmRfZ5mH74Ce1EvvQ G7BDhfkK9ffhwmrfTvWzuV7Vt9XvnCh8UmIfAg4Ll8XHao52kXn9HaCyJ+tB bWtiawL4w20zz5W14f0xf2in32Bd/5s6trPqO6m8zlpXqZP4msapvl/h+f9O Zn8MjgHXYE89XvU497NBpNqSmQPDhdFUGsHXdP7K2DbmjcIaDloOmlVttKbC +zX7dpUK++z47jXgyOH8VWr/Xnh5YY0LrQsfv1ZujQt/ri4cEm2s8PpinR1S YU0GbQYNqU5ujQmtCf+vPtpUZn4yI/L9owmhDaFJNci9vj9S+44qL2IbCq91 eN7ACmtGaEdoSg3Vf6Xq36hvQ5VZcHaVabw7te+jc3sIz03M0eHqi3T+5Yl9 iAtK+8z4zk2Fm+X2kfGVmwg3DdfLu8JGYCvu0nhb4Hfsb2p/UL/xMPObtVna J8Q3PFPtO5U+Rhv30099X8zNDZZrnA1q20VtHbFXKq1Uf1XH3k6siaGNsecs hDuk3ovuhUOq7yKVg9Fa0FfUf7L6TMqtGaIdzmQPVX25yirh04XPyM0J5nLt qbnCTbxTuAz7rJ7v7Nzc//LU+tAQ/UZb/dbVwh/y7HKPfY3wR8JX5NYrrxVe KTyXPQzuIfxxac7B+rsx9XqEU8DP4GlwjctyP6srUutb/MZ3ia+R34ZDsbc+ lZpb7Zr73Q9I7X+1Dv7gIan9rVa559JBqfUK7gGt66LI94a/w1zsn1rf2C33 2jk4tR7yssqL6j9cx4ayXvDXhEcID8vN4eAKT6bmdrzTJno+/wvv/22VrxI/ kwtyP6NNwldGfnY8o++Fr4r87J5ReUr15zXeOrWt4P7xReF3GvsDfH60IZ5p 4WeEFoiGx7NDk0Sb5JlflNumbQj27vfCY6CFwa0Ym2PVeb6p+zLmxbFtD7+1 KLc//qDad9B8OEX4NO5FuKLC+xHntw/7N/yAvatd4ETXqP/1cFX13079q2vM JPbe1154m9J7Levp6ML87rfIPhL+WJPM860T+7fKcp6Z2t8O/m+10vsr+yz+ zitqX4GtC/705zreTu3TIu/R32ben28S/iYz7iG8d+w9+1Wd/6Ha3gz+8Wu8 M+G3gn/8uvDH7P1B34BvsXfig92gelL6WaAJHVB4jjHX5qh/dfRg3pn6Xh7s LRzxdrUvSc0d4Zxw+8WpuSg+xQLhRal9DTg/c2VBal/gZ3RF4T015sbENghb dKeO19b4t2Bz4bL4LRX2EZh781P7Di11HfvG9oF+0/n35tZ/7ld7XfW/W/hR 4fuEtxf+uLB9LXPreRWl3w0+dFkadxZupT5FaU0QbRCNbm+uHZvDXNZ4NSq8 x7C1t0u99yzMrUc9IFxP7fOErxa+TXh1aR8MX+xe4ToV9qcf0W/tjI9RWENE S0QT20t92+Xm3sNS68X48PjyJ+rYeTp2BFw/sUaEVrQIny/4bwMKa4Jog/ur vbvaxxfWluHUXVTvm1sPPDq1HoyN+yHxNWP7xqpPl9h7OHt5J5UYX4Lnruv/ hPcOtdGxf1UfonP6Cp+k+kulf5N7mZD6WtAA0QLp0zv3b6JFo1lyLRxDTzwq dd9OufXdw1PrqZ+ybwgX7DGZbRr64rTUtq5Pbr1ySmr9k4IWSh/a3mXdpV4D rAX0kQXBn9k2s81qqPblkW3ZdB17KLRXU/1x3f+y2D4qvuo8dK7ENgJbkRWe S+gyBxIPE34ltsYws/Ac+CvxmmFunJfZt9hNpanqS9TnQdW7qVxcWIObFvgM +/3Y3HoBWtPoCu+5LdjbIu/Fr6WOTRCjIHZzt8a4M/i3BzEfUmubaJzEuk7W OHfHts8bdfwJ9vTYv8Fv3S58s3B17GHgH6cE/gSfYA/h3Z2chr2FZ672YZHn Au8MLZw5xruEQ+lf1D41t4JzVRLunJqLwakqC3dJzbXgUNsId03NreA0cL9e qbkOHC6FG6XmdmjQ6KzorR1yXyPX2jM1F0JjRmtui83JzSH1CKJ9U3PLUal5 OHycWAZrHl92aGpbwBokdkPMgLXJGHCtQ1OPzZqFWw9JvZbxmfHN+qb2pfEh Cq4ttW+Bz6Y/UcfUvhycHK7ZOzVXH8x1JY55EvvEp8YX6ZPa14YzVhHulppL wtHGs5+m5m5wCrRdYh5wDTgBsRI0X7gCHANtlzUG90DjR+tnDXbMrWeiNcHB 0SMr5Y5nEiMhplFmXhu9VHYP/ja+ET4t/ilxH+I/hyeO38BRiMWg0cJd+A2u bUzq3+adEa8Znfpd4gNUxbal9g2IWRC7YI3vl7twL4elboMjEdthDLgTHBKu 87/U3BL9Zl1kzRe9Bk4KN5qemqsSA0MvQw9DH/srNxeFw9JeFuYmcCK40X7q f1pm/t+fWC0xHuwS/qTwSSrDwv70n1aXO16DJo82j43GVs8I/uaszBoh+/sw 4T4ab3hmTQ9tr1OF44TEC48XHqjSWvXJcDbVO6g9V/9qwpcwsQprxXC6O7Dd 6IPCzYTvUv0c5newD32FB6u0Uf0olXPw9QrbJjSZL9gvNP5nqf3TwbltCudO D3rFkQGjqV1RWHNCezo92DNi+NVTx3CI7fckZoGGovbT+K3C9VKlh+pnqIxT /S2VY9X/Eo7F1lDQdomP11T9TJXLVO+n8X5KHW+9QfjSwm1oNiewVxe+Vu6Z 93WA+n+VWr8cr/apKnVja2bY6yqFtTw45QauRe2HCl8e7OEeheuz8ClU31Pl itgxHGI5HYmJZD5nXLj+I1TfTu2zVb8qdRyGeMyhwT/8WPVPeJ+5C3V8SPSh d1W+iK2RnJtbw8E/59h7oR1usCZgfEx8TdbvVaV9Wnxb1ueV+GulY6twulal /d8P8O95p3DJwrHx/zSiwhwVrop+hlbP82Tuo1mhXVUrrN2hyaHNoRFck1k/ QDv4b8zYPvvL+Nq5tfXTVC4UHpM7PjySd1BY8/8q85jEAmbkjiXg06MHvC88 MLbPebjwMYW1VTg3/tZRhbUNOB38btvCa5M+9N27NHdGE2xXmsPD5YfE1pdO hJPE1oTn4GtktnPYO/R1NE+0z55hvrPns/fD/+eWnlPMLebEzfgu8N7EGtP7 YX5OiJzjwfwdqbJPbE6Mnk2MjVhbex0bIzy6cL2DymGF3wHv4uewPgdkziHo pWODcmPiVsSsujH3NF6am/PCb9Gg8uCzLckdo94mtx5D7HqScJXcMZP79bcJ czQyR4Ir7VjY/68d/MelufWvF4TXl9aw0bLZT3vmno9zM8/x18P8QEtijl1d +n2jW+JTVS4ds0EzRXM+n/sTviiz/UZ/Yz7PyTxnmbuNVV6IHLPAv26KvxKZ I8GVJqeOyXYI/JN7XqR6lvtZHFRhzocNwBb0r3AMDJt5uc5vJ9whs03HtjdU eTiyZv5l2A9Oz8zBFxbWUPHLmGPDhRsVftZVg/7RoLAeUAR/qX5hfzwP/tL4 kENCfOC7whouWu7X7J/Ch+saB0W2odhSYiYrMseT4Kfzc+uHxI5GEE9gfmb2 8fD14JDPZY5/wfcuKrx3jIu8HjlnsdrvjTwWMSliUxOx8YX1T/IA4HBwuaGF /V/2QPZC9EBsJ/GX71PHvGcGvY1YOPES/PnNwj+GOdMo9RxjLn2DJoLWIvxG 7pyJ6xPH0MmlIEfoseBPXKv6qfr9qqxtlfNU713hOCl74FmFc9TQnCcJX4S/ k9qHweaQm0JMeMfUOT3EilerNIqssaG1/aK2v+CyGn9X1pn690BLZg8qnM+G La0VWw/Hf8d2skd9ljnGgq6AvjCicHy5Ivb+QP7OqKAJw1975Y4Z3Sx8dexY Upw59kTMifgn+wc5DezZ7N29CufTLNX1/oO9z8zd2XOIP36BLcB3x37kzsn5 JzNnJFeHnI2/MvM1cjlYY/C5ypnXHjkJ6Ojo6eeVjpNhG7GRbTLnQDwf+P91 pa8Bgk28tlfgE9gqYoLEBnkezTPnsxCL4n6JlRG/Xgt3wMdMrNlcnDtH6IHg 75I7RE7L/YlzDsh1IafoweDv8j7JSbovcU4EuUpoHg2Cf/efFpLaP4aTNSus ydQP/tHy4C82DPOR+YeGQq4BOQxoK+R4ketFTiG5aeTYkZtHDhi5d+SEkRtG zh65ceT0kNuDJkEuJjlkzYP/Ri5cR13D1sgx/xas98L+Nz5n58Lz/bbM8Qpy 5cixuiHwafwV/Jd5gf/CpcmheDpxDhC5FeRQPJN4jpBbwfthrjD/LyydY7Ig +EfoCeSQ3Jo4J4zcEnI2K6XWWMjlJEfsiqBHkzt2RGF94cSw35Az9lTiHDFy ydCkyN14JbJWhX5xW9A70Arwd64M+jW+FTmec4N+jf9DTsn84A+Ra4JGRu7J y5G1M3JiyI0hJ4ZcP3KEyBUiZ4ZcVjThHxNrOGjFaFroyWjEaF3k7JC7Q3wU /xg+tzFyzJj9u05pWzZbePvSmtRPwf9Hq0KzQg8gPo2Whb5O7GZesJ9oPsSr 50f/H4/H1mPz0WLJYSKXCc2SXNGdC9t6Yuy/FY7nEw9HU0NbQ5NcF/RT9Af0 iPVBL702t0b1ddCL0a4qC78XfLIzeV6FcyewQT8V3t/IuYKDXKz72znz3ske Cr8ip7JZ0BfItURvYO+HA6A/kONDfsFzkfUHcpLITVoWOfcW/YG9jz0QfeWX 3LmE5OxtLWxv/xH+F/teOGfpH/XPYvtLNZnDkW0w8RA0WLRY4pE34E+X3kv2 Uv96pTUqtKpL4Welf69H5DXWoXDOHbl3XEN74UdVyAUmZv1YYfuIDwtHvrG0 Zkx84qjIWjI5wfiG+IjkCvfRObfG9lHg9+jpxEpui+1/4S8Qy0dTQVvB39kg PE94gep3qtyOvY69X+G/cS7HaBuMvc2sEaEVEY8n15cck6cKx/vRjtCc0J7I dyHWjkY6SvV1hW0HMeEmpf3BO2Ln9P4Nf9Y9vBE7hv1s4FvY/uXCS4Wbl87H IgenBbakcBvncO5XhW03OSDkgsCfTsysQf1TWL9Ha1ocO58V/2Jd7BjxeTp/ RWEtdF3wN2bq2MbYMcqVwb/4LnbMDX9gCvtJ5GPE/4lhfxT0cvp/wvOOPQZj gWlDA15VWA9G6/024KqFr40cHHJxiEkRmzo0tr+N/knuATYZ20wOBPoHGiH5 1vio+KrEiMkng78OzLz/4q8eqGN3xX7m+N/Ea/HNiYd8k9r/RwfE5yZf5v3M ORDojY8E/rJd5vgguffkqLAHwy/wheEgcBHmIHOR/fguBK7EuYrs32tT2zT8 UzTxvxPHzNDK0az/TazBo2WTk0du3pGRc9nRzIlp88x4dpWE302c431q7pgA sdhGsWMFPekDX4mdj0NOJrmZaOR8K1ANTT5xjv2FuXOUE7SvyLnL5GynqTVz crnRVx+N7dPh26ERoBWgWbZmLRTWokeptCrMd7ak1ou7B34EFzks7H+s96Xh faJ184x51kvD+icHfmvimCWxS/gRua2cP690zvsriXMWyYUn54PcD/gfueNt 1eeoxDm7bUpfA9cyGv5YWA/Ctn0Z+MfWoJ+iSaFNkTP/cuIcbHLpiWERr4WP Lwp8Hd+ZnLDehWMe/ySOmRALwX/k24+XIudu4tOgRZ+d2de5tLQWBEeGK08o nUvFHsVedWTpsZgTzI3JpecG18C1HFX6WnhG9YNvgm0hB+6OzDkFvCve2QzV jy79bnmnvNtjSr9bNDe0tymlfU3mAHNhUum5yT1xb4eV3svY89j79sD2x/b/ aqk+vPRcZI9jrxsmPCXyHGWuDik9l7HZ2O6hpW03Nh3bPhF9N/KaYG2gEaEV 4dPh2x1a+l3wznn3+MRoWY+k9pUX5L6/e4S7VJgTw42J4cH/5+hv59h73K/q MxjNOfI75l2T8w9/6qu/E9U+vrSvQN4k+Yrd8bkjcy641+Eq10bmNHCb/Uv7 VuQ0kP86SuedE1kjHK362NLcB84CdxlXmrvAWeAuR5TeK4ircf2vJ9aqyEEj X26M2i+MzCngFuSjk+syOcxvfKTfUt8fezk5V+ReLQ8+BDYUWzo7tZaJfnxC ZH+b+Ar5yVdE5h/kexMsID/kSPxV9u7SXBNOCDfkm5DrEn/zwLcivAPexVQ0 4tIaB7aKc9E+Ts2ci4s/Tz7r7oVzd7FR2Cr8YWIrHPurcPyEXCxyYNm/yGHh 2wI4AvGwfwvnypLDcE9hPfZyNV+pa9i/wvE4conIkdkS7Dk5ccSQib/lpXO7 iAGSTzu9sG/NnsbeBoeDy5FzQO4B/j15auSrETjYmjs3qqNKVtq/J0+KY6lw 18J9mVNwc/rQlxyPBwrnX6AlM0e4fjQBbDdjMBb5F1vx9xN/yzWjsFbJPaI3 o58dndjG7aH6tNzfThAjYL9AQ0JL4h3OUltd+EbkGBixsFGlczng4HBx9Cfi CsQXblHbiNLjsUewV4wsvVfgE+Ibdiid20SOU+fS30iQ58SxLqVzssjNImef b9fICSA3gPykmaX1arQ75iD6Nzkc5HLA188v/Q3ZXYnzF/m2jJwDcg/QhGeV 9lnxXXkG6IfE8+Cel0XOFzy3cGybOY2eXr1w/JqcEHJD5uSOtZODQC4D3wOd G9mf5/sENGP89/0za8nkqKKvw6f4/oo5ydxEo4Jr/bfeY+uL6IzEDNAqVySO Jfyp8UZGzgEhXrchdW4UnGQa4+X2hXgf5NqcW1qL7cQ6rvBeOlDtI2LHX//I HV8hx4T4Kzmp6P3zY+d3NVJZEntOk/++o8p9sa8Re3RfYe40PexH5BYxN7Hp 2PYdMsdHFgYbvDn33sgeSayR/HV+i3eIDkt+PPsZMU1im/Ah7Bd2DK2G70vG xNY/0EGIlYyNfKyz6i3RgmJrrOiuo0trwftkXs98I8e3cnAs8j95fnD1xip1 MudMc73Ea8hfJMcbrYMcDfI14PT07xX2W2LO8Ef0TfJB/82dP8Q3C3y7QE4D sSP0xptT5yOjBfFNDPne2xWO1ZODQy5OjcL5FeTokKtTU/iayDF9YvtZZl/j BpVjM8cm4GZ8Q8a3ZNsXjk2To01+BvF23jUcBT+sdmHfEx+UfKs6hfM9yOEm H6NXaW0OTQJt4miNf33smA4a5bLEsRJy9skXfzrztxbkDKIP9tY5u0fWHNAe DlbpH1lDQEs4pLSWgKaBtnFMZq2yarifrqVz5YiZEzs/pfC7XheZDw4srYWg gaCFDCqtVTGf4F53a4w48TcN92TWz8jdJ6e8YK6oXBT7Gwzi5Y9lzmUl5xL+ fkRmbYAccPRM9hu+nWANsBaYR8wn1gBrgW9E+FaEGBf5/Mwh5hL6+PrUOeLE KohZoKkSn0erxWeE75KPgNZLTgb6EN+L4Ot+FVk/wvel7TqVKaoflbnOO+Hd HFdai0LTQduhHT350tCfGBr3w30RW+P7Cmw/c5DvNYgBok3w7QWxwb9z+8bw KeKtB6p0jqzBocX1L63Fodmh3R1UWrtD00PbI0bQW3hS6tgBdgv7RY4G+S7E WIgtDs0ceyG+gjZDbjyxvD6ltSo0IrQiNNQ+wkcGbbVvae0IjQuta0BpLRHN cHOYT6wN/Gv87HqFv70gZ7hh2F9q5OY8fH+HPn9/Zv+AduI7fDcDJ4Ab8Ex4 NmvhJ4U1RLTE91Jr21wz144m0LbwM+ZZ/6dh4AurzxGJ92TysfCpqE9IHK+D 08Bt4EetS9t4nhkxwDnCeeE29t/dSu/fxIr5Bo54I/rImZl92k6Bf5BLT857 pdIcEC6ITwC3RQ8ix3NNZL0SPeyQxDmQG4P/xVpbnXq/IB52Tmb+j+9GTJvY 9sDE+gx6Bt/VEAMkFtgrcM4J6jM7zAdiR+RIkw+NXrVN4m9wfiwc4+oV+Rj6 FfrEuMTfjB6dOybSNbN9IFbCfkxsmxgFsQry98glJ4e8SulvDvn2sFrYD9CH NqfWh/lWkz2ANQyfhuvh4+Hr8ZvoIeh11RLncP9aOAbSPjMH4PeISRCbWB/Z /yOGhC1Hc0N7I98ffkxMt23Yc9l78Wl5tmjyaPPod/ib8D9yvfkGoWnp+Bbx EL6h5ttw9LGfMvsT5C7OCnyanPQ9hddrzKGJc+DRB8gf6J7ZHhF7J37VLHOM jG8D+IaSfHrOqV96zL6BX5Jb1ryw7WGvQLsjHxNtI00cP9+O553YJyK2Ojis d54Z+ibfkxELRZ/A/m5bWtvjmxi+tyL+1Dszv0KfQa+hzjfSDYK9x/eHoxDf wH6RC8AcRa8lnkUsjDX9beFnC79B/yZ/jfgRvjk2kPmCz4XvhYaGlkb87fPU 3xfwbUX1wFHwEcml6Jg5t4P58kfq78HIBUDDxR8mn4BnwR5ybeFvTrFPYxLr cacX3o+7Bb6HXjcmvE/0/h0KxwLJAeV9oHeylviGaFMR3llkXsO7JH+cmBXu ArmKxPuxHdiUs3NrSGhJvJOaYT7QOQ7vl++ryNEkf5lc67QwPyUHBf+N9zkx 8jccNYO9JXbFN6/8fwT/B9vINRI= "]], Polygon3DBox[CompressedData[" 1:eJwt13fAz+UexvGfZ/2MomEVkQiHPJJTIaOpzMppWEWiaOgcIzsaeMzsPSqz jKJBCA0jGdWhVFRGxxEl59Qhlc7r4+uP63nu631fn++8x/dXrsMTLbpmpFKp jyibOvrzkP/9M1OpBVmp1JR0KlUhJ5X6iq/D/6mvDj+bKudLpQZhT9M4uVuo tdzLDniN3LWOdTfdq90NnyM3WeZHrC0/Q65KHI//ie7HZmFXYHX549QOm41V w+rx/6bbsdHYJVg1/mbHbIUtxBbQGv6HOC82ma8odw3/Pd2FTcDKYzX5w3QH NgYrg+Xyx+g+bCZWFbuO/53ysAL5U6le2r3pDxqGFcT6afenI3HP2ES1FdT+ lT9K92CTsMuxq/lMz28kts8zuQ7Pds3/wTtic/macjfFteG9sE1YW6wVVlLt HOwYNgmbgZXAXsJ+xCZi07Fy2HtYYVqDrY1rc7wh/BdyT2I9sLJyq7Aceh17 E2shN4DfnpGMhxgXf8MGYZ9gj2BdsFJqF2MnsTnYPOwZuW+wDPdWyBjpGddG 07WzsAbUm8+m59TsU5uprpq6O6m32s3YffraxLPDhmJfYr2wnnHNVFj7Z/wX GirTHeuJDeYvcI5h2IXOMYU/qHaovvEypbEl2K/YXGw+dgDLdX2d1c2igznJ O4533TKdvOeP/L+Lntb+VO2jajvrv0B2MnYAG4KNwwpgY7A9WD9sNNaX+sS4 TCdjaYv/BeXGau+V6y/3vP7i2IvYD9gEbBp2PjYJ248NxsZixbAXsKPYeGwq 1gDLdB9D3cMuSjlHkZibmp1kj2PT+PO0i9C5ap5Q/6b2/7Qf9X8pX1e+URxP 9kZsLFYWK4f9TF2wxVgd7NaYk3JPYhuxNlhr7Bd6BFuCXYfdxhdyfeOwt1zH +fgJvnXch/5ZeG18uGP9Gu+SXyXTRF/LOK/cufzPMl/r+wv/AZV1v0Wx52m8 2i3Yj2oOyYzDJmAn1ffg31bfWN+9/Anqjq3EGmH3xDqktmA8D9qrrxLfRv3z 2t9heXKj5PLjo+MZmvvD+RF0rVwnmdMx7vnZ/Dty7eLZx3iktfyltFptmt7Q 95bsaNl74vppT6yr2GVyW2SK0/tyG7A0NirmtPPmxfpDs9TmjzF3dvx3P8uj v3U6uc6P/b+Dv0l/X+foR2NjXmFDqFU6Oe4O/y9xjqXap9zLPPkF+otiM7DV 6orhv/Kn8eHYH9iDWGW1n8VzwPpkJPtJcX9O0VPYB1gr7CF+kuxUdaWzkn1k V9xXjFO+By3AmmA9sU1qL4u1SO27aovEGNI+4ni1ZLvxT8itlbkoxqC+t+W6 xvPnS9IGbAX2OLaGLxHXg63EamJp/3dnJM/vqljn6HOZq+hr7OMYK9gG/lLa iq3D/o6t4y+ONRpbhT2JbebLx/PE3sMew1byF9I6bDk2FfvY9e/ISt7Ln+7j UWxFrF+0FlsmdxG+KPpd3xLZ7/nOcstlCsX41bdI7nqsMT9Vbgot58fI3q1m K98p1hf+YXxZ7Fu0Ansl5jP2On9OzBFscXwHYK/FnhfzFVuI/YM+8W5GxTXT SJmLYw/Qn5J7DTvKP4K/xZ9P7+h6TV0n7FU+P72JvRxzEtvIl6Nt2HqsG/YB X5bK0CH+QXo59pRYn2JfcI5G2EOZyVyNOXsM26n+aqxnxpnLSRXlX8UHuK4v qAaeT107mivwGz8/1h65g3QbNggrgVWK+5Vbj5WKPQlbjX1NN/CjMpI9KPai r6h+7ENYIaw0/yXVwwbH9WGl+M+pFtYPc1mpEvGtkZ3sk/livaY85/wCqyM3 UM5UT13E7413jI3AzsXK8HtijcaGYedgl2QnczPm6BrHOqZviON1pFe0M+lV uZdifcHuj7ks9y1lxneT2vzYMv64bE1+n+wt2n3xomor8LvoGqxXxplLThXj v6Wbsd7YhVh5/jf1FfjNMU9pTDr5XmuZmYzRGKvH0sk7f//snhR7UwU3XTe4 /iKOU0FtK8dqj83T/3t86znHTH37qSHWHyuGXc4/IDc/1iZsITYbuxLrEs9d u7zjtXS8A9q3yj2FF5eryOfih7XzZN6lU/ym2M+1d8p11beRfybO7b1NjGPF /uP4ZfA3MpO5EHNiqcyA7GR9jHXyd5ohVzud7LuFY2+PscM3pPbxfvB6ahvE fkzt+d/iOmi6zGrn2Oy8W/A7sSF8Abw+v59vSAOwZljXmH94c8dr6lhXxJyJ OaD9p9xMvik9LrcGbybXWF8T7LFY77GmWBNsvWMOV/NhRrKnreOX00CsRJwz 1iv+X7LN1A6XK4VVjXFAA2MdxlpjD8de5BwtsBex6lj1+KbB8sU7i28wfc/y 9c6Og3yxPsW84AvT0fiWyUq+21o470QarL1e9oBsDf4GuSba07BKzlE5riXW EblTmcnvhfjdkJOT7N1V08l+GPti25xkj4i9opLz3MffGN+o/AuyufqujH2D amMDMs58bqVK8udo3MAfUneACqaT3wfxO6Gidoe4Hv+bxziItZ6/XW2zs+t4 o7h37Dk6Eus6PRzrcEbyDfRf1/I0tjvmKH2j9hO1fbEdfBX6HPsQ64AtzEye XzzHmFf96Z98LlWjw/G9Tzu1q9NXarfFM8DGR7+6457ZN/FdjG3DKtMuuU1y k/Fh+tvH+h9rnkwf2h7fafSZ3Ob4DsB28VfSHmx7jIv4boj3RXuxHdizdMjx pjjeJJoo0y/2S5mqtFtui8z92DT+eOx52ISYz9gDsRdh9bH62cn9fnp2P4l9 Jdf6kotlZSfrQawLNWIOxneO83Z1zhtpRNxHjCPtnJgv+ubwvfCtMS5oZ6wH sXfEe+WXOVYD7HrsO2qK5WEXY1VivY9vH+wnbDI2ETsdv6f5bfHbiBblJN/G 8Y28IvZ8+efUHZJtrj0SL632ihh7Ocnv8pP4CarFnxfzIfbVrOQ31hi5/wNg 1/qF "]]}, Annotation[#, "Charting`Private`Tag$41678#1"]& ]]}, {}, {}, {}, {}}, {{ GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0jkvZ1EYB+BjXwYj0RONWfC3FSL8oxYKphKTKDRCQWWPiEnEFlEIGtEh OgWCmW7GFxjGNtavQSSeE8XvPu97i3vOec8t7Rn8NpASQpiRn4pYr3u8sCgj hEKWsoTVTLCZSbayjV38zj72c4zjMqZe4hxXuc5NbnOXBzziH3ZnhtBg3Wc5 0x+zXcrSQjjXf+I/fuYFv/CSX3nFcl6zgjesZEL+q6t4G/fPO9bwnrV8YB0f 47fSQ2iMZ5cn/Qk74n7s8a/+lL95yH3ucIsbXOMKZ7nIBRlVD7OPvexiJ1vZ wiYmWckEi1lvDq/8Zd2P3GNSllNDKIjzZH5cg3mc5wfOMjfeI3P4g9OSrZ5i Fifp82GCGfGe6MhhhEYQhpgaZ+llU8r7//AG4d49qA== "], VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{1299, 1590, 820, 1298, 1952, 1492, 1300, 1953, 1493, 1301, 1954, 1494, 1302, 1955, 1495, 1303, 1956, 1496, 1304, 1957, 1497, 1305, 1958, 828, 1306, 1959, 1498, 1307, 1960, 1499, 1308, 1961, 1500, 1309, 1962, 1501, 1310, 1963, 1502, 1311, 1927, 1964, 1503, 1591}, VertexColors -> None], Line3DBox[{1313, 1855, 2026, 1312, 835, 1314, 1965, 1504, 1315, 1966, 1505, 1316, 1967, 1506, 1317, 1968, 1507, 1318, 1969, 1508, 1319, 1970, 1856, 2027, 1320, 1857, 2028, 1321, 1971, 1509, 1322, 1972, 1510, 1323, 1973, 1511, 1324, 1974, 1512, 1325, 1975, 1513, 1326}, VertexColors -> None], Line3DBox[{1328, 1858, 2029, 1327, 1859, 2030, 1329, 851, 1330, 1976, 1514, 1331, 1977, 1515, 1332, 1978, 1516, 1333, 1979, 1517, 1334, 1980, 1860, 2031, 1335, 1861, 2032, 1336, 859, 1337, 1981, 1518, 1338, 1982, 1519, 1339, 1983, 1520, 1340, 1984, 1521, 1341}, VertexColors -> None], Line3DBox[{1343, 1862, 2033, 1342, 1863, 2034, 1344, 1864, 2035, 1345, 867, 1346, 1985, 1522, 1347, 2102, 1592, 1593, 1523, 1791, 1945, 2141, 1595, 1632, 1718, 1719, 1717, 1235, 1598, 1634, 1808, 2104, 1946, 1807, 1774, 1775, 1865, 2138, 1348, 1778, 1779, 1866, 2139, 1349, 1822, 1823, 872, 1350, 1986, 1524, 1351, 1987, 1525, 1352, 1988, 1526, 1353}, VertexColors -> None], Line3DBox[{1355, 1867, 2036, 1354, 1868, 2037, 1356, 1869, 2038, 1357, 1870, 2039, 1358, 985, 1571, 1359, 1652, 2100, 1572, 1594, 1573, 1691, 1360, 1937, 2103, 1596, 1633, 1597, 1720, 1361, 2142, 1792, 1599, 1635, 1600, 1102, 1362, 1777, 1574, 1776, 1575, 2120, 1363, 1781, 1576, 1780, 1577, 2145, 1812, 1364, 1825, 1766, 1824, 2040, 1943, 1365, 1989, 1527, 1366, 1990, 1528, 1367, 1991, 1529, 1368}, VertexColors -> None], Line3DBox[{1370, 1871, 2041, 1369, 1872, 2042, 1371, 1873, 2043, 1372, 1605, 2044, 1928, 1373, 1653, 1922, 2115, 1601, 1578, 1654, 1374, 993, 1602, 1579, 1667, 1655, 1375, 2116, 1656, 1698, 1580, 1603, 1581, 1721, 1376, 2140, 1786, 1582, 1604, 1583, 1699, 1657, 2106, 1377, 1693, 1700, 1584, 1685, 1585, 2121, 1378, 1694, 1586, 1686, 2045, 1923, 1813, 1379, 1819, 1767, 1818, 2046, 1944, 1380, 1874, 2047, 1381, 1992, 1530, 1382, 1993, 1531, 1383}, VertexColors -> None], Line3DBox[CompressedData[" 1:eJwVzdsywmEUhvH1p92pXIGhWzDjAnAkDeoCTBmblE054FSUCucalyDHiHRl fg6eeZ+13m/Nt7Tf3GkkEVHCUTpiN0tyEYd8jyf8mC/zOf4iT8wrsoCvTMS8 /VT+oK6byG8U7Udyhl+c6q7lmn3f7QbvoYvG/9+piDf+gCo6+MAtmvotd2Oe uH2XNdzjE3fY1p951+cDbOIG6/YDN+e6ofkRB0jZP8snXOjy3ixiAWldT17a v8qMeVW2zGWZNbd5hef4Ff8DCkAkbg== "], VertexColors -> None], Line3DBox[CompressedData[" 1:eJwVzzFOQkEUBdCH8PlsQxsscAVSm6gI0Q2YSGWDlsTQG2NMjLE1ViogDcoq AMXE5YjomeLk3pmXPzN//eTsqFOIiEMusohpHrGUXWb6r+xR1ees9E25W45Y k8eViKLc4M+sJMdmb3zoe/KJ4JkeO765MdvXXyjww629htlS73PAHYt0Fw22 zV/lihFN7vnmuui9csCQFufU0xtl5vx3OeExnZ3eYFbST8mtK5Rp29+Smf2a fOAzzawv/edCz/Ur/St9l+7X/wGu3ilr "], VertexColors -> None], Line3DBox[CompressedData[" 1:eJwNyjsvAwAYheFPom7V8hcsTbDVoKOtliZuiTJKpCZGEaFubcRApNpJ4sco VdVExd2f8QxvzvnO+01s7Cxt90VEAReJiLGhiPXBiHM9ra/pVX1azuIOm/ac rNizcgYp289AxB9+ccZ9yxV7g//Qv/CJU65uW+be3a94Qw8n3BWX52ruLYz3 Rxzb5/USrjHHX/o7sr+4u3jGjW2R6+hl7km20USNW+Ae9EPuUbYwaruXU/wk DrhbmbRn5L57RC/qu/qwvqrv6f/RHimY "], VertexColors -> None], Line3DBox[{1421, 1883, 2064, 1420, 2001, 1545, 1422, 2002, 1546, 1423, 1782, 2003, 1547, 1783, 1924, 2004, 1688, 1768, 1548, 1687, 1925, 2005, 1689, 1709, 1820, 1549, 1769, 2136, 1661, 1801, 1662, 1642, 1756, 1758, 1550, 1742, 2130, 1802, 1804, 1803, 1643, 1649, 1759, 1884, 2113, 1617, 1663, 1664, 1620, 916, 1619, 1665, 1666, 1622, 2114, 1650, 1551, 1644, 1621, 2006, 1552, 1424, 2007, 1553, 1425, 2008, 1554, 1426, 2009, 1555, 1427}, VertexColors -> None], Line3DBox[{1429, 1885, 2065, 1428, 1886, 2066, 1430, 923, 1431, 1784, 2010, 1556, 1785, 1926, 2011, 1771, 1814, 1815, 1690, 2122, 1587, 1773, 1816, 1817, 1623, 1157, 1616, 1645, 1760, 1761, 1757, 2133, 1806, 1618, 1646, 1763, 1764, 2135, 1696, 1697, 1588, 1647, 1651, 2101, 1930, 1626, 1589, 927, 1432, 2012, 1557, 1433, 2013, 1558, 1434, 2014, 1559, 1435, 2015, 1560, 1436}, VertexColors -> None], Line3DBox[{1438, 1887, 2067, 1437, 1888, 2068, 1439, 1889, 2069, 1440, 935, 1441, 2137, 1770, 1561, 1821, 2146, 1772, 1562, 1805, 2144, 1624, 1840, 1844, 1845, 1762, 2134, 1625, 1852, 1890, 2109, 1765, 1627, 1891, 2110, 1442, 1892, 2070, 1443, 939, 1444, 2016, 1563, 1445, 2017, 1564, 1446, 2018, 1565, 1447}, VertexColors -> None], Line3DBox[{1449, 1893, 2071, 1448, 1894, 2072, 1450, 1895, 2073, 1451, 1896, 2074, 1452, 1897, 2075, 1453, 2019, 1566, 1454, 2148, 1838, 1841, 1839, 1851, 1455, 2151, 1854, 1849, 1853, 1850, 2150, 1456, 1898, 2076, 1457, 1899, 2077, 1458, 1900, 2078, 1459, 953, 1460, 2020, 1567, 1461, 2021, 1568, 1462}, VertexColors -> None], Line3DBox[{1464, 1901, 2079, 1463, 1902, 2080, 1465, 1903, 2081, 1466, 1904, 2082, 1467, 1905, 2083, 1468, 961, 1469, 2022, 1569, 1470, 2023, 1906, 2084, 1471, 1907, 2085, 1472, 1908, 2086, 1473, 1909, 2087, 1474, 1910, 2088, 1475, 969, 1476, 2024, 1570, 1477}, VertexColors -> None], Line3DBox[{1491, 1631, 1064, 1490, 2099, 1921, 1489, 2098, 1920, 1488, 2097, 1919, 1487, 2096, 1918, 1486, 2095, 1917, 1485, 2094, 1916, 2025, 1484, 977, 1483, 2093, 1915, 1482, 2092, 1914, 1481, 2091, 1913, 1480, 2090, 1912, 1479, 2089, 1911, 1478, 2111, 1629, 1628, 1630}, VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{629, 821, 1952, 630, 835, 658, 2030, 850, 673, 2034, 865, 688, 2037, 877, 700, 2042, 887, 711, 2049, 897, 722, 2058, 905, 1995, 732, 912, 2001, 742, 2066, 922, 753, 2068, 933, 764, 2072, 944, 777, 2080, 957, 792, 2089, 972, 807}, VertexColors -> None], Line3DBox[{631, 822, 1953, 632, 836, 1965, 659, 851, 674, 2035, 866, 689, 2038, 878, 701, 2043, 888, 712, 2050, 1274, 1275, 898, 723, 2059, 1276, 1277, 906, 1996, 733, 913, 2002, 743, 923, 754, 2069, 934, 765, 2073, 945, 778, 2081, 958, 793, 2090, 973, 808}, VertexColors -> None], Line3DBox[{633, 823, 1954, 634, 837, 1966, 660, 852, 1976, 675, 867, 690, 2039, 879, 702, 2044, 1024, 1025, 889, 713, 1162, 2051, 1033, 1266, 1242, 1243, 724, 1168, 2060, 1043, 1267, 1247, 2143, 1248, 1273, 1271, 1205, 1206, 914, 2003, 744, 1210, 1211, 924, 2010, 755, 935, 766, 2074, 946, 779, 2082, 959, 794, 2091, 974, 809}, VertexColors -> None], Line3DBox[{635, 824, 1955, 636, 838, 1967, 661, 853, 1977, 676, 868, 1985, 691, 985, 986, 1021, 1084, 2115, 991, 1026, 992, 1204, 1125, 1161, 2126, 1034, 1068, 1035, 1244, 1166, 2128, 1167, 1044, 1072, 1045, 1997, 1151, 1047, 1208, 1001, 1207, 1002, 2004, 1121, 1213, 1006, 1212, 1007, 2011, 1198, 1196, 2137, 1197, 767, 2075, 947, 780, 2083, 960, 795, 2092, 975, 810}, VertexColors -> None], Line3DBox[{637, 825, 1956, 638, 839, 1968, 662, 854, 1978, 677, 1014, 2102, 1015, 1016, 1082, 987, 2100, 1020, 988, 1083, 1022, 993, 1027, 994, 1100, 1085, 1029, 2105, 1090, 1134, 997, 1036, 998, 1219, 1169, 2129, 1170, 999, 1046, 1000, 1140, 1093, 2118, 1049, 1126, 1141, 1003, 1120, 1004, 2005, 1122, 1127, 1008, 1123, 2122, 1009, 1201, 1199, 1270, 2146, 1200, 768, 948, 2019, 781, 961, 796, 2093, 976, 811}, VertexColors -> None], Line3DBox[CompressedData[" 1:eJwN0L1KAlAYBuCv1HKp2SWhXHMTgoZqkGqopUJbghCX0jIMCjJI+pkaHbqC XJqa3cKhltJbcIjyDtp6hof3PX9wzpmvNHZOJyJim5vJiOVExPN0RFvf1F/1 J72s9/Su/qd/JiMO0hED+cWQK1osma/KY46osULR/KpMckKda3Z5ZI8ZzujT IM+acyXZoUyGc95psmX9Q15wSZYNXti3ti5H3HLHAg/cU+CXMT8c2p+TUyn3 pGqckrPe/Ma3P5iTQxb5Bz5WJcA= "], VertexColors -> None], Line3DBox[{641, 827, 1958, 643, 841, 1970, 664, 856, 1980, 679, 1018, 1158, 1235, 1234, 1238, 1236, 2142, 1237, 1159, 1215, 1214, 1218, 1216, 2140, 1217, 1160, 1240, 1239, 1241, 1149, 2125, 1150, 1038, 1031, 1070, 1040, 1050, 1145, 2107, 1144, 1229, 1227, 1228, 1172, 1252, 2130, 1251, 1255, 1253, 1254, 1178, 1260, 2133, 1259, 1263, 1261, 1262, 1181, 2134, 1060, 1295, 1296, 2151, 1297, 1294, 1293, 783, 963, 2023, 798, 978, 2025, 813}, VertexColors -> None], Line3DBox[{645, 829, 1959, 646, 2028, 843, 666, 2032, 858, 681, 1202, 2138, 870, 693, 989, 2120, 1117, 1186, 881, 704, 995, 2121, 1118, 1119, 891, 715, 2117, 1091, 1165, 1092, 1041, 1222, 1223, 900, 726, 2131, 1174, 1176, 1175, 1073, 1077, 1249, 908, 2108, 735, 1096, 1097, 1056, 916, 746, 1098, 1099, 1061, 2101, 1081, 926, 757, 1062, 2110, 937, 770, 2076, 950, 785, 2085, 965, 800, 2095, 980, 815}, VertexColors -> None], Line3DBox[{647, 830, 1960, 648, 844, 1971, 667, 859, 682, 1203, 2139, 871, 694, 1268, 990, 2145, 1188, 1189, 1190, 705, 1269, 2045, 996, 1192, 1193, 1194, 716, 1109, 2052, 1032, 1071, 1245, 1246, 727, 2132, 1177, 1052, 1074, 1152, 1153, 2123, 736, 1209, 1005, 1075, 1079, 2114, 1080, 747, 1010, 927, 758, 2070, 938, 771, 2077, 951, 786, 2086, 966, 801, 2096, 981, 816}, VertexColors -> None], Line3DBox[{649, 831, 1961, 650, 845, 1972, 668, 860, 1981, 683, 1272, 872, 695, 2040, 1187, 882, 706, 2046, 1191, 892, 717, 2053, 1042, 901, 728, 1287, 2061, 1053, 1280, 1282, 2147, 1283, 737, 1057, 917, 2006, 748, 928, 2012, 759, 939, 772, 2078, 952, 787, 2087, 967, 802, 2097, 982, 817}, VertexColors -> None], Line3DBox[{651, 832, 1962, 652, 846, 1973, 669, 861, 1982, 684, 873, 1986, 696, 883, 1989, 707, 2047, 893, 718, 2054, 1288, 1289, 1290, 2149, 1291, 1278, 1281, 1279, 1998, 738, 918, 2007, 749, 929, 2013, 760, 940, 2016, 773, 953, 788, 2088, 968, 803, 2098, 983, 818}, VertexColors -> None], Line3DBox[{653, 833, 1963, 654, 847, 1974, 670, 862, 1983, 685, 874, 1987, 697, 884, 1990, 708, 894, 1992, 719, 2055, 902, 729, 2062, 909, 1999, 739, 919, 2008, 750, 930, 2014, 761, 941, 2017, 774, 954, 2020, 789, 969, 804, 2099, 984, 819}, VertexColors -> None], Line3DBox[{655, 1012, 1013, 1964, 656, 848, 1975, 671, 863, 1984, 686, 875, 1988, 698, 885, 1991, 709, 895, 1993, 720, 2056, 903, 730, 2063, 910, 2000, 740, 920, 2009, 751, 931, 2015, 762, 942, 2018, 775, 955, 2021, 790, 970, 2024, 805, 1064, 1065, 1066}, VertexColors -> None], Line3DBox[{806, 971, 2111, 1063, 791, 956, 2079, 776, 943, 2071, 763, 932, 2067, 752, 921, 2065, 741, 911, 2064, 731, 1994, 904, 2057, 721, 896, 2048, 710, 886, 2041, 699, 876, 2036, 687, 864, 2033, 672, 849, 2029, 657, 834, 2026, 628, 820, 1011, 1067}, VertexColors -> None], Line3DBox[CompressedData[" 1:eJwVzy1PAmAUhuGDgBDcsBuYm5nomNNNkptTQYqgJjadyY9qFJs2RmCIH40f oNmihcqodGdAN5tBLsO95z7nOW94Fxtn1dNERGyhkIwYopCNyMs3LPF5+YJj PpeOSPA+1swPqYgnPOJnJqJnv2d/bz7BHbr40LV0Jd2yOY9DHGCsu9EN+D4W UEcbNWx4M3LTdPNuvkAOVdyirN+VAzeXbip8FiWs6Nblq+5cV+Z/ckdu49n+ yPzNi26/5O///+zrcpKJ6PBN/smv+Sq/klO9ISdA "], VertexColors -> None]}, {}, {}}}, VertexColors -> CompressedData[" 1:eJztnXdUVsmytxUTYhjTGDEhJhzDmHMbMIx5zI6Ycw4ooiBizgkQFAMj5pww ATKIAUWUIEmS5KCoqIiKih/4PnvWPfuu1uFcvDPnu/z1rvVbtWpXV1VXV3dX 9Vtz/JyBk7Ty5cs3RTtfvgJZvy97urbf2yBStDzz5GT5EBcR+3nL0QERUSIP z8Pz8P+Oz9/m8gX3DNbg6f22fsFX7rD6go8Lff0F/+3x71/wXUV9C2Xj5X/I vJKNL21SyT0bX7DmpvmeLNzxWvXgbLxIYmDG1+hl/GXy/NP0lof/vf4poz/S aYZNifqRYsHByoGHs+nnp5+YFhkldju09xxtFS5i3kX8Urqpq2i489DAy5ui xd1Kx34Pb+wn5sxMHVL79h0xPM10u4NDovhgcNu+8CEfcS/Ubt3xriFi38rY x6tLPBE3oV8B/Sjod6r4N4K/TJ7cGm9u4bL5KKO3l+jTWfvsaqPYQHFk5dxW XdvECcuun/3bnI4X5Q0GmWzMlyLueY4cermjn9BttOv+Uq2bIrV4AaOLCU/F gs1G8/IP9REXjr0qZLjwhigLvR30OtCHw/8a/CfA3xp5YpGnCfLk1nhzC5fF Qxm9F/42Q+Wfij5d0U8F9DP3RLNtr3xCxLLTT8tU2RYv1rV9eT1saKwI39W3 z+qz/sJZ7+PdRVNuCMsHWwKSfk0QnaGfC/0J6EvDfyn888PfCXlckWcG8uTW eHMLl61HMvpM5vtD5vte5vtL/PMo/umKf0ahz5Po0xx9TrlUp/WsOpEiwGfW sbaPXMS0XUVC1j/O+i70s6GfBf0b+LfeouEfBP+KDTTyVA3TyGOvyJNL4/27 /NkD/1mL/4zGf8rgb9b4mzb+1hH/nI1/nsY/89lr9NkafY5Fn6WhHwu9L/Q/ wH8E/NMaavifQJ5Q5DH+h/pzTuOVbL2LJn66Ez9HEz+V+W6Mfj6hn1f4pyf+ 74F/KvbaDH0R7PUM/nfgPxj+VsgThzw//0Pjc07X36OS9d1Gsh6dx9888LdZ +Jsu870u830X8/0k9CHQz4d+q0qfTf/D8o08/J+J5+0H8/A8/P8/vOikWuWj PMLFquCK+lPquooa5vl6P1sULYJGXv/cepefmFvtuLVOjyhh0vD5S5d2ySIZ fB34ZPBCKj568AmHfhH086Cv80PS+t3Ln4rOhq3Hzcv0EN1G/XFxf5/r4kLq /GmZC+OF1uuwU9tuJ4rmT63f9VwaIOxV+EBwffgUgE9b+KTw3Y18dyLfPQ2f /PBpCx8zFX9TcBsV/hv4JBVuA57Id1fz3al8tzZyVkTODshpruJjAp+JKtwW vBZ84rpq+DSHTybfdeS7Q/luPuyyGrvoY5c30NtCPwr6AkYa/Cj4QPB3EzV8 1sCnHny++7pT+/jZUNcIcaHa4pi5qS5i7/ZWv90tHi061Bjcx69CsLDSf1Fs 3uRrwmSamX9IfKzYVeZD1EinMLE0oODo6PGuwlnM3h/5NFrEDTY2qd40Sdyz L/GyyphEsbPCsRaV//ATe6A3h/4q9EnQe0FvDf3ZC6N+OtLcX0yPa1lNX++W KDficNMx1xLEafD54OXBD2SIWq/+eCLaBJSsp6ObIJIKO8xwXu0jjj9vUnbZ 0adig3XGFc9rnqLh1cm/Nq/pIbrvMoxpuyJL78WHeS0ZnSgstw076lIqXJyE 3gn65tAbq/SzB/10RD/bVfrZgzwdkScVee582vy5XViKmB/h+qPe+yhRcOSO SS5zvcRd8LngWuClR6ZvSzoZKro8jom6v8dVZISVPH3HKOZPPluhrwS9HvQd oU9T0dtBXwN6nSEa/Xug/0Xo315lX8VeMSr72kMv03Oi34LqtQJ9xFaP0ePn lPcTT10OORwskywub09fODAzPGs/Xl9vSGVXYWa40WX+6Gip/CnwGQyfKPg0 hL499M+hV+zojzxtkecI41rMuJwYl51qvC4S/7RRjdcG/o3h3xW/+hW/Wo1f KfKPRP4Y5FfssgS76GCXm+hnBvoxQT8Kn4EqPaSCtwQPU+FNVLjM7p7IcxZ5 miKPE/oxQT9n0I8i/w7oq0GvreJvquJ/Bfq20JeD3h362dD7Mo8qMo+OMI/u g1cGPwluyjw9zzy1Z57aETc8iBv1iRujsdcQ7DUEe51jvIsY71nGu1sSx6zh 7wf/hvBfgjznkGcX8vzT8pOT87t17znfR9Qx1H69UjtQXI0Zbap7PVkcB28M 7gyegF/Z4lcp+FUy+GLwBPBh6Hkwep6AnhX+Bir+zqr4sAT/9wCfCb4I/CB8 FsHnNnyOgbcAdwE/y/w1tNHM337MX0foV0B/B3pZPDkDXgc+PcHLsC7sZl1Y z7qgyLlAJafy3ZWq78r45NS+qWvaj96s5S/a34yf3yTwlph5fPKgoKQE4XHO O21e1xThNXprsUofY4W79aqgy8+9xegZQ+Ya90kRq+c5Zq78LVAsK/lq4o4t t/7E7cHXgm+qY7/BaP9DcW1AyyAPHfesPLLssLeW8cIC/Dn4YXA7cFvwbeDn h1yrcr1NgEitWtloTd1Y4TjolZG7blZeBv0u6LdDfwX6NOj3QL9mwdKJ0/94 KjqZWTvrbPASRY5HFjPf5yHFhzOuHoxrMuOS4U7o7Sl6i0Rvw6BvCv1o6I3A F4Kbgg8FbwRupOL/BP4R8B8J/Tjo50F/CPqSYzT0mdCvYrzFGW/msX/VQy9w bfSQhj4rV9Poczr6TAevAj4V3Ae/Oo9frcOvTiaE6QSWTBHGWkEv3lb1Fz3H BF+zHXDzT9wUvBf4efBQ8FngTuBp4CbgOfV/nfRuZ7aZBIgNiwe+cewXKwxi 6wSOy5JTd1dK3fxZ69Hwk1W6dSgaLR6MGnQq09xL2G+NOjBv71NhWfa38WMm 3hb5D3vU84q7LizmOLh1//hIlLQOdT9ww1W8SvrlhfnRGFHC3Pmqdv+s9aLv yw9zJiaIV9vsU2fOixaVC779fFYra3/X4cUrqyl3hd2Oemd8svYZ7aBfA70f 9FrQ34L+JPQvzDT0s6DX2a6hr4b8HZH/CvKXYbxbGW8txnsc+Qsi/2Pk3wOu DZ4Abg9eRIXXRs4eyLkFOf2Qczxy6iFnTu3lwHp6kPVUj/X0Cut+Pdb9O6z7 jtDvgb4G9C7Q14X+FvQr8f/0JRr/z2BeKPwNoL8L/RH4r4N/Ffi7Q68PvRv0 e6E/Cb0+9M1ZB/uzDjqwDupWjBn53tBHiIb7TRYFB4k74737lC39RDRV0TtC vxb5jZm/pZi/oczTosxTS+bpauhbQF8Q+pnwHwb/jvAPh48OfCzgMxf64dC3 hL4U8l9B/gjkl9lXmXfG+G0MfruPefeReVeeedeY+bIcvwplvsw533vynglP xHWtHl6WYxJEqVf3hwYX8BXG4G7gJcDHg3uBVwJX4k8gcWYGceY0+H7wEeAD 4BMCnzrw2cJ80WG+PGW+bFLhKeDfij8L0cPnQxo9yOJMHeZjF+bjJubjbOT0 QM7SyKmMaw/jGsa4Ypi/U+FfjvnrBT4WvC74bkncMOS7UXy3Md+VzbvB0AdA Xwv6LuAxKj4yv3rxRhP3TIl7nYl7o5JfjS1zylfsqlDwYe/qEWJ7aMC7X72S xUbkL478z5C/KPFzvWq9UOJtLex1EHv9DP0B6LVV9G2gvwR9U+gPQV8Y+u+d 529u/iT5Yv0w8cqhde9Ry13FycNdu/auGyPmt90RtCDxoVi4yXz5qhpuIsw6 2aGuYbwoVEm/1a6PT0StipXNrr6IFzcPr+0xqklW3n+gdlqj0aGi8NXwI9PL JYhi+ZutGl0vRpjXahc6YK6PsCgwJebCqWBx773xtN9/fCKad/x9YsEZKaK4 q+uOQ4lBYu48Q6dxBrfFhZqvbvQ4EiUspjjbJU5IFFPqD3Bt6Bsm7pyZud/5 eopY0+xE9OuHMeL8JD2/ItH3xJbJ1WNv3Xgqyr/WudSqzD3h/ubXNX0veYg+ Wmsq52/jJ1w+Jw16ue+xmLukh67z2mThad3r4oj7fiLDufbDX62zvufUoEFm +UQxGH+YjD/Y4A+3rR4d3xkVLl7v6NQtsoarcD3u1a3JjGiRhl8txV7tsdcl /drv5zoGC+MltyzTe1wTbVt4x8w+Hiu2GcR3OBfnIxLKXX5kschXFKtovLfJ 26Q/57sZ/pCEP+xlvrsx34sT98Yg5wHk3Iac/cC7g+8A3wMfG/gUhM9a7P4G u5/B7vmwbx3s64V9d2LfIthXB/vOw09W4CcR+Mky7L4au3ur7F4Yu8/G7o7Y 3Ry7r8Tunth9I3a/orJ7Puzuit0NsfsR7L4Iuwdh91vY/TB2X893TfnuGb5r AJ8p8NkIn3j4bIXPTvhYwMcEPh7wqQefcfDZDJ8k+KyGjy18umPHitjRDjte QQ+n0EMQetDFXmWw1wHs9RN6tnfR6NkQPdugNxf0FoHe/LFvZewbmU9j3/34 yQv85CB+Mgm7P8Luidh9N3YPxO53sPs15D+I/Pf/ovzHkb8X8m9H/qnI/wD5 ZXFY8f9j+L82/u/FeCsy3jjGa8V4XzLeY6rxBqrGu4vx+jBeT8bbgXh+gvjw KUYTH4KIJ6nEk0vEE1vixhLiRk/ixjriRpsfNXGjMnEjp3Hej/ytAPnbWvK3 z9tfDHeuHykyF7iFWGbRn7t2xaF6ZJSwMgy37FkrUmwsvdTu6SMXcWtCT7eY qChxZUvSx1EtwkXDoMyiq7q7iir2XS5bO0ULC861znKutZNzrdqcV+zkvGI5 5xUVyQ8nkx/6kB8+QM78yLkBOVM2VsuoEvRUFOn1yaxz//ticrXWTddVviEy kf/TN+S/jfxLJXLqI6cdcq5AznmSe5DG0NtAbw59ZcY1jHF5M66PKj2fR05r 5NykkvMQev4ZPeuhZ9m+QCZnE4mcCp9OKj7lwS3BH0rk/5aeD6rkr4X8snVf ifMbiA+XvrG+t4RPZfiYwEfJE9bD5+I3+PQiPl8mPs8nPnsTn58Qn88Qn5tA bwL9GuijoHeEfh/0zshzFHn8kEeJb78T37ojvxVyHkHOUOQcyLowQpWf9Ab/ GdwWXFlHKqjWkbrIPxb5t6jWo5Wq9Ui231HyolfEMRfimJL/zP+L+Y+SP1io 8gdZvmFBvF2pyie7M65TjGsh43rAuGIY1ynGpeS3pnw3nO9u47uF+G4pvruU 765QfTcIel3ow1hHpsDfG/4J8LeDj7dqfZTlmWfR5wL02QF9bkWfb9FnSfS5 i/VuKOvde/aJXip7OcN/G/zN4N8b/gqf6fD5BB9ZHtIAf7bBn7vgz9b481n8 ORx/vq9aB698Yx18hp5roWcv9DwePb9Az09UeUiQal32lPitTM99Fz0tJdoF io4njrdp43NNvC1U+kLl83HCTyX/Zfgcho8JfDrDp7uKTwZ8HOwLPctXPVLY n0k2DQ91EVvT6/a7EhP15/m2vep8e+TY14/KrUgQZRv/YGJyI1GM6eHmpdfy oThBvG1CvK1BvC1DPHcgnj8inh+Z6a7brEuYeFdvY1KGmatY7Da3j7dujGiE nIbIWaiwRs6mKrwA+NgJhRcuqxgpxr+tfKRXuIvwLVm2+or4KBH2+f7LD4Uj RYvjpWfpR7mINWf3uRV4FiU+Nlj8OiE6Rdxuf9jFr3ekuNiqVst8Je6KCRI+ snzmIvKnIb8x8v8eWWpLdp3bo4oDH2bT70iZ8Tqb/hf7iEkmWfjCOwVbVc/C jT2K9xv3lXzpfLSF3kaLR2JRt75Xez52FRNXLjYdGxkjJnh6L8kwiBR984cu bJtFf+is2XTbr/DxtLDXKnk8Qlx6/biIdZqLGDN1aMmQctE55jPAtO2Edv0i xK+7Ow+/oe0qBq2+l9q0fc753FDJM+7flKc38gxCnqHII8Nl/J2GD1iYmYXv r/9kR5ss/E2/1xdtsvC2Za/0PVE3Upz19LmaloWnRliuzP84Ktf4yMaVU/o8 PA//v4AXeKap+515Q4P3qqup+x3e9OQX/Hrr519w3fgdX/B1r6IbZeNbp6Sf ycYPvLY4nY0333U6LTs+Jxp6uGbj/T3nen6tPllGL+Mvk0cm/z9Nz3n4v4db uWns63hfg//c7uv27d3JL8ooa71o6m6lOyoLN7l3Kv1RFt7l5uIim7ZFiKpx se6NMlzE0xqmXrerR4thIxLGlWjgK8beqzCi1XRvMSeuQMG45UkiacydohUD HwnnLQkGnb1dRYDltjI9r8aInQXcb13VjxTdTOIm22fti7cnXlhsGJXzPCSn 45Lh4YX2fsH9t7z8gmdO2vNV+mdVTw25My5CjB/+OsWkoKuYnvYswK9ZtAgO r7Q588FTMcVvXZHEud5C+0nDDwdee4iOJpOP3h0cI7QOOQ6755goEs9N7hkQ GyIK12+1s9X8h+LzpSNDO15wFyE7Vz6KOBYvxqnyPb9v5Hs5lV+Gd2+5sWw2 frvJ+4vZeIZdS+ev0buS56eT57uT5xv91s7G1/+hMC8b1+zX+Bhh+jL54uSF iaJ1/zW1KpxMEVdKBZbSbREqUmcWmlPKxFOEX5z1Orj4IzHo/rm1Qw/GCxPv F0vs68UKf8l5YG7JL81z7D1OZsfVvvOtvLPxhtUME75Gb8y56HvORa9wLlo1 atPhbo8eiuX+bc0SVruJZcsCYxcOiBcOA7WKuKU+Ea2NEypPeBcvLPuPK12i s4/w6Gd52b5FvOgeOmBOf89EMaTCj3rh9wKEI/yfw/8A/HMqZ27prTX2nYR9 7bBvG+zrgX3TsO9b7GuEfcdj33vY96Vq3/297Ztb8z2E+T6P+a7DfB/IfC/E fPdgvmfW08z3Kpc18/0x8/2Jiv8M+H/v+Z5b64Kv04+F/er7Ct13H1/sn+0t KjTcvzh9RZIIIP67Ef/Dif8dWUeqsY6ksI70kfD/3vE/D8/Lk/Py5Dw8D8/D /3/Cz6Vo4pUF8WoW8er4IU18m1xdE99OX9DEN6uu+Rtn49GrXnyJh5vXzvsS D7dfvKb/Jd9o+/P5bHzVueDzX/tuxQOnimfj7R3MLmfj0TF1r2XjLapr8hax XpO31BipyVsiQjVyTvfU8CnVOC+u/lf873ov5Xvj23OYv11N+2g8JCs/3DrR 0m10Fn7/4ujaEdn5Z9f3dRpbRQivwm3t/d+7iA39I+qWzconHc+fGb1HPBSh fm8aVZp6XRjdONH5VmC8WDX+tcueuln0GxuU71zaVSTYzB7q3idaHF36oO7W +pEizDJw2IYs/gUa3NFrGhklvTf53voZo6WZL7ZbNfPFfMrX8/ybL9osKTQm Qkydnja0TCFXUXp0Ia98LaJFq5VDih44lSLWzLXyaPZLqNDrf3HEq6WeImCI pp6kEPUka75R9yL77g8eGjtGemvw823+vfn7TFezvxvRUrO/C3H8+v5uCnUd l6jrcKSu42DZtweX/hAqXi2dvbZbRrzwj+82Qn9izJ/1tPmp6/5IPa26Psfu G31nsjiW0/E+sdbs388Ya/bv0TW+vn+vnVTnp8eDAsWT3g0NfO5eE5/cq9/e dCROuHHvvI975zvcOx+l/26Jun+zvUbP4xtr9Nxtx7+3j84pn1XBdy8fbekn CqyN0Ku667Hwso/uZbM++c8+KUv6dMzp08mpfnLLXnNV9UL78AeHyJFVKumn iMn1zQa16/dQBL9qpZXoflPsPfGbxZm7SaLSSRtjv7aJwrlm8avdOvhJ+ytz y/9zaz7K6pdmN7Vxft/bVxR+e6bcg/RQMSX/8pSfkpLFKu7fw7h/38/9e9zI iwtn6EYIj14jSl0u6yrC3neYsOnXaHGduDSduFSWuJRbce974y3bvnF33xsh jM80m9/jrYsoqv3Kr2rlaBEZNaFX4bcRotfTTlcPx7qI6i8vhYS+jhLerEfe rEebWI9k61durY//NLxYmx8mLMjCDxRrcTT7PH+d7zmD8f9AOb83LstvZXFJ lj/L8kBZfi7L52X5v2y/8E/TZx6uwV8Qb/8g3gYRb09dmObxx6VwEVp9w6nS Bq6i1o1k7+pLo8Ua4vZD4rYDcfs0eeAz+oIPkwfaHz3U5MhzH2F22zv9cmlf cbbIunZ74pNEwDKb5alzI8TWrssf1MzvKoa3sfEe2DBaVLuiFxK5wUdkzJzR rkeJADG9lln7yzuSReUTg+Z8WOgr4uYK/YD4MJGyeKdRl7BkcZx1szzr5hnW TVn/nTX0VaD3gF6P73rx3fF8dxR5hRl5hRl5hQf50g7ypevkS9fBd4LfAJf1 I1djXO8Y1xPGdXZOjU8n/H2E7uX1ndbdChF6+QePXF74yZ/9xQaMqwDjcmNc pRnXPsalD3/deRr+SfAPeL+6aHXzLPsGFbN70zLLvhtrLu9kGy2e4A/X8YdH +EMw9tUmz1+Bfa2x7w3s64p9HfCfCPzHAP/JLb99pFo3a7JurlXty+LYlz1R 3SM/5B6hKevyAtblYqzLOV3Hy+UbG3t6vI8oZ7RmT+KRQHH/3sBRB8OThTb3 s+nczwZxX9NGdZ/7nPudMtG9ixjOihEhg49Ejz2cKNL23tZtdDXkz/rz86r6 81mSPLP+oiJR6yr5CoeMDT95BT8StgV1x595mywOJo2tMzIqRTg63Lpkof9Y 9Fo2yMJ8zF1RLMmn4dxaKSKucbXS9XrEiVKx8U3KNLv/532cG/dxr7mP04E+ HvrS0E9SvQc7nfdg2/9UpIHjz1Hi7J1btbv0SBQht/x1Im6ECxv2FxbsL1zZ X3SH/gL0HtAnnCqzJmJqjCipZ/nC5VCi2NI9MTLEPUT021az6ogZKeL5yvau q/fFivah9ucsd3mLovO3mqV5+IrUgEcdfuvtJUrXeta8SmaiuKR678Kcdy3K Qe8FvTb0snH15bsv+W5HvivbN20CXwbuDp7CuEoxrlWMawB6uIwejqGHXnz3 Pd/tznefck86jHvSGdyT6jKuk4wrP+OS3ad7SN7DqQ4fR/h81tPweaWS3xT5 L6nesTnNeD8navwnXxON/xjgPx/Bi4A3AT+E347Fb5vit7L9UUvmUQTzyIl5 1Ir5O5/5q/2N+V6CeT2GeR3GvFbOf+6pzn/+rnW8yJkqdzN7xYhGpc17GO1P FEOCN1WNSwsRP1I/cJn6gdXUD0yW+HNxFZ++8CmhwnuBd8cPC6zS+GF//FBG 35S45E9csiIudaD+x536nzXU/8jWzU9hy0znBaSI5iM+ukzsHC5c1/3h59b1 jqjOOv6adXwa63jZZ2Zh+Z/6i6v2LZcY23qIKP0IwwbVE4Q5+Uwa+cwR8hl7 8M3gW8D9WQcLqs67qsN/M/wD4a+8G2DBel2G9Vo5B5jJOcAjzgFeMq6twzXj MmNce6HvAv1d6NOhD4Z+J/Syd1QUfc4FXwSuvHMyGXy+6j2WLuATwfcgTx/k eYA8b5DnDvJsRx4lbymPHvKhB5l+3qHnquh5MnqOA/8B3FT1/oz6fZWxnD84 pWvOH2Zy/uB6OG7lT8mPhOW9Gqs3PIsXe65UriSWx4iZAw/Xs7BLEsbOFgZB 3RNFQdvbtoZT/cTmmcfWNi6XFeeKegy2PpAoHg8Y+Kmok7/YwXlUI86jXDmP 0noX/jpY21eM6v3ppMWw+yJwV+oMzyNJYj30ZaC/BX0+6M9BHwH9CeQ0R86j yNmac7x4zvHecI53tGD4LxZr/cWbrv21KmTcEE7NFnhbLkwQDaFPgj4D+p3Q /2SoofeAvgDy1EYeX+SZzbloFOeiHzgXnY5+MtDPR/RTlvipT/z0JX4qecgW 4nlX4rlix2nYsSR2VOgnquJ/QfKrwtTDhJJfjSG/0ia/Okl+pcTz0cgTijwl WC+CWC8+sF4EsZ4OYD01Yz2VvQfyAf+shn9OwD/bwz8S/sfhLzhXf8W5eh/O 1Vfhh7Pwwxc7NH4YSr2QM/VCFagX8scuWhYau5zGLrNVdsnALrJ3jQzwk2T8 5AN+YoefNMVPbuAnW8H7gXuBz8HPfdZo/DwUP1f8qgF+5Ydf/YY8RsgzG3lk 70dZM94U/DCS8fZkvAV0NOOt/KtmvIV4P78e7+cb8X6+u+p9M1PynCnEjUji xnTihhnzcQbz8T7zcQz1bMuoZ1tIPVs0/4NwjO+a8V0nVf65lO86q+LSXvj3 JA90Ig90JQ98AP066DdD3xK/MsOvquFXJ/GrifjVffzKlPEack47kfHehP8q +NvCX/auhRb95vr0m3vSb36J/v1l9O+PpX9/P/xN4X8W/u7U9aVR1/cHdX3l wwprn1zgI0p6DNKrlBogTpWqejfONVlUBH95XYMfBZetazdVdZKDqJPsNLvL zvm1s/LRFzUvLvRKFBuffzB7XyFImDPedMbrxHj3UYfZhjrM5dRhKvcpDpwD eHEOMKX9w9kfagcIjyalOzcu7ibKDxw7NbVevNikeifhOPoZCv1N6KtCL+v3 V3BHcG8VrqbvwHgbMN4tjLcSdiyHHQ9jx6b4VQf8qjB+ZYVfTcevYvErG5Wf HEdvH7C7LXafid3vvBpnun5HuLA+NK/YmJ9dRfrWC+EjN0YLK+5hy/tr7mFn cA97beRnv1WdQ0Uz7QITpju5ig9zetv4bIgRfxCH33EetfMb95JP9vg1yagc IQolvOykXc5V6Jj4HzEYGC0iOScJ4ZykOuckPbaJuw/uBYqKl3Ytnnvmmhgc sLx77QVx0ntAA/Leg+S9NuS9VTmfSeP85ynnMwZvHy5yGBAodh6LXRYTGium R/o13/lTgthTeWrp+iVShNXKAstCCvgLnXg/I+MeN//bvbMW985mS/M/aGkQ KZy3bDeblIV3Ca7V80nWfsFWVT9vRf38evY1d1XnJ48l9xQhqvrMUM5VlPOZ 3tDrQb9YJU9X5OnIeA8y3t8Yr3K+4aQ631DjDuCN0PM1lZ57wv84/H+Ff3vw A+BG4B9UfnIBP5Hdc8XhP0XwnxL4T038pAZ+MhE/Uf4Hah3/M3KZ/xkpwbzT Zd5dZt4p/0viCr079HeIG8uJG52JG8+hnwb9eejdiQN7iAOexIHexBlP4owe caYb+F3w2uAyPrJ75GrEZ2fiswPxuTnr5gTWTXvWTV3ovaB3hF72v0Kmqvdh 7qOHz9B3gH489M7EGVvizAfizHnizAHqPfoTZy4TZ5oTZzKJMynULbu81dQt f/5JU7f8mv9XOs//K/3O/5usVL0LdI54qMP/obyCfg/0bypq/KER/vAIf1D+ r81L9f9N3oz3BePdxHhl7/+EQu8G/XLot6rOqdw4t5Gtg7J1JE11LmTCuVBH Ff1m6LerzgOV77pJ8gHZ+UAAeXI58uSMZE2enMa8+IH/n3rAvNiHfszQz0b0 o8y7cObRbej1mafFsIvtN+bpbcm69jv+FoO/jcbfjuNvLfG3AnM1/maAn/Tn f3NssXtx5KmKPFeQpxz0JVX/q7UeO6Zhx9PYUflfnjqq/+W5hvw2yJ+B/DeQ sylyvmdeWEnsuEXlV3+A73qRekm/ZqSwGdtMe2KoizBo2HrN/egoUZVzlR2c qwRzrjLHMKTMqScRomgxr5ujElxE8wGHXGu/jxI3VO8PKO88yOqvrqv8yu0b /SO5hfef1SVuYNY6YhEXYGeXhffqkZne+yv1UbJz1L9Kfwp6b8k7Fbl1/35Q 0meUW3p722JV9OAsvR19F143W2/zyzvrfk1vxtx37+e+uzD33bJ+9pzKk1t8 8vC/F5f1Acn6pGR9ZLJ+Ohm9jH9eX1Ie/l/xnPYNyfrsZH2IT8HHqXAZn9yS M7dwWb+VjL6Lqn9Q6UPX4Tw5lfv6QM6TQzgHHsg58BLOgW+rzpEGcI6UAv1w 6KdDL+vftGM/3l21H8+t8eYWLut3k9Gr+/eVuovmqvqHdM7nlfvoO9xHp3Mf fZhztqacsy3gnK0t9P7Qf4B+BPwLw/8K/JXzimuq84rcGm9u4bJ+Qxm9sg+9 qtqHKv3Fa9gHleS+YDz7bkv23fPZd5fhvvgB98XruC9uC/0U6G2gD4J/M/h/ Zp/VkftcV+5zV3Ofm1vj/bvwnPaHyvgo/7/sp9q/K+dC+9g/OrN/jGSffpZ9 ugX7dNk9fir086GfDb2y/23M/jdA9f/Luv/D/1/+T7Fjbs3rvys+5DT+d5L0 y//T1pfcynOSyGcmkM/MJJ/J6fsAef3aeXjePjEPz8P/mbisv0nW/yXrj5P1 CeZWX+r/NVzWRzyZe9uLqn7b7y1PTt8HyK3+XFkflox+P/dBEdwHjeI+SOm/ tqTuogZ1F47UQb2kDiqAOqgu1HHFUcf1kjouWR3pTOp/3lPvNJX6nx9jb/9s +iZClE2f3Ckz1kU8b9TWdHWa/F4gp+885FTPqyV1175D/vX/F9ZR7yHr11b6 dHZxT32Te+rt1P2eoO7XlrrfcOoZfqGeoQb1DNI8QdI3J6M/Qv1GqOrdgPv0 gd6jD3QjfaAyPrK+POk+VPL/DrL/cZDx+bv6/nLaP35a0tem1I0/p258KnXj lajPCVP1ndUALzjvX/u2ztO3pUffVk36toJU/VZ61BH50ge3jT64EfTBOeHP L6lf2v+N/5Ubwz34Nu7BVyp1bvi5NX7upupTswP3AJfxkdXlutJ3Voa+Mwf6 zgKRvzDzcRXyn0A/JdFPLfRjgD4F+kxEn/uwV+T/sI/sr/ZPKXVEdakjslL1 T1lL+pUMVf1Kt6nPTFb1K62n/kF2Py7rAxqo6gM6DH+lvrqGpL7alnrp7tRL D6Bf4yl9Q23p15D1E8nquErQ/xVF/1dx+nQy6d8pSP9Ow2/0hbVQ9eMo/XQl qZcOpl76HfXSpfluMN8tCP96nFs25dzShHPLH+lXuqPq56oBvhc8kz4mmfyy +tt2nD8ncP5cYJbm/PkzdiyDHcdhx6Gqc2lXzqVl9e2yPqOS2H0Adg/B7gnc Owzl3mEO9w7nVf+vrfyf+D5wM/Ar4BncU9TjniKGe4q/6/+11yKnJXJ6IKes 72mDiv469LK+pCL4w1v8oSx+UgbcD1wH/Gf8Mxz/dMU/L1PXPYu6bjPquq9L 6szbc05+U9X3JOsrVPqttOi36gceLHknU0c13gFKXxh4E/AO4M2Je5Gq/qyP 9PVUp9/Kib4e5d2VDawXlqwXG8ijbpJH7SaP0mWdLTZLs87OZp2tSZ3POup8 Aqjz2QWf7ar/rQ4Z8q/9yMtZX2T9RLL+Ahmu5MlDyZP9VP1W/vQ32aKH3dA3 g/4G9N/67kDw6ap1djDy6yD/BnBXcF1w5X+iddHDFPQQA14SfPE3+qSqsl9I Yb+Q/7pmv2BNf0cX+jtu09+xgP6OMPo7glR9T5Pp7wiivyOUfUpB+lOOsU+Z T7/Ge/pT0ulP+fxWw+eqqh9qD3xesN8JgU8f+GjR91GBvg/Zu1VHVH0QftSr z2cfpEsfxGT2QUepVzejXv049eoXJX3EMr25qeLDYuiVvphqqn4rWd9rKeL/ L8T/IOK/UN2rxrG+KP3pFaH3UeUJG+DfGf5a3IMXI/6HE/8F9dKHqJceTr10 cVX/VCbxcD3+dh5/q4K/vR/yr/19k/BPWd/uR9a1Uaxro1nXeiHPSeTpjzyy ulAZLosb01X9gIXpB1TeaTfi3rMw96o2+OFL/DkEf1bs2x77+mPf6fhzJP78 CX+eqerb+gCfTpJ9vT3+Vhd/c8ffZHl7Beqri9BHc5L66lqq98Ey4b8b/noq /kp/5QVVf+UVVR+TA/OlCfNRn/n4sZ9mPm5V9Y8kKH1J1BO+o57wIvWEsjpS WX11F1Vfz3rqjWXnAB2pe79H3Xs96t6VunRfVV26Uk++Q1VPPhX9xKGfaejH HP3MRD/e6EepP9//F+vPZf2DluhzNvp8hT7XSOp+M6kzr0f98APqh0twL/yB e+rd3Aunc3/tDL4PXFYfLquLLkrdcg2+68Z3D6nq1ZdSj/0aPqnwuQsfX+67 Y7jvXs9993b4LIbP7/A5Sj3Jz9STzKOeZBB2v43dq2P35fBZBJ9r8Inhu458 dwnfnQ29MfSPoVf8x1vlP9bQL4F+H/SyPqx09NCPe/zQb9Sl18WO3bjft8Ne +1X1usr/z5aCvlDYv9rdFvpU6I9CL3v3RtZnJ5t3snzyuWpfbMl+qq2qj8CK eW2r6jtT/mdWto8OYT5uZD6uYT4GUy/9gnppp2/US8v+l82F9e4N5zn2qv9d LcP/rk79xv+uJqj6jIrTZyQ7r1P6oa6q+qEmSc7hZ0rOQxrDxwM+1vDpx/p7 mvW3j6R/6rykf0rBkxhXYdW4KtI/VYv+qWn0T8nOJZJV9Wb+7INkfWc7JXV3 sj6m4dRBLaEOylzVrxTCvD7IvJb9z8Uw4swtVV+ni+T/ULqq/Hwtft5X1bdV Ez7q/qaPrEceqn6NDNaRJ9SPuVM/lk/5/wVJH80t+FvB/y38t7F+6dKnOZP1 y4nvtuC7+ehnke2Dcqu/9YHq/0GU/8HsrtLnSvTpquoHUfRvS76xVHXup+7r UfRwED0EsI6P/IYe1P0vDeh/2cn+11q1/w3kPDlMdZ7clvlShfnyG/NF9g5Y W+avo6r/Uemv0aG/pgX9Nf7Et1bEtw3EN9m7ZLL/nZT148jw0uUaGNXPmr9h RQfMnZp9j+bWt1jqV86LmhfwL2GxLUS8GVN0r0PZa6J/uOOpKYax0nur8qp7 rmfcc93Rdh46qFuEeGi47fAVHVexeX0pg4KdoqV9Jbn1XuUGSZ4m+66Mzy3k D0D+rcgvo5f1JcnOD3M6Lll/kJOqX0nhb6f6v3gl35DpOaf9ODntw5L1H8nO UXPKJ6f3XLl1T51beE7vAWXvJMvyhNy69/RR3atu+Ma9ak7vc3NcxyK5N89p /UBO8dz6XwAlb7dhHV/NOp5b9Rg5xWXzUXZ/8Qf1KtP+4vvSebgGl9VHyeqp ZPVXsnqt//T3q/8ufDV5YxB54+/kjcq76yGqd9d3847rItU7vTbc7+uq3stN 4Z1Yd96JDeGdWJk861TvssZzjyl7T1WH+6BH3AclcR+Uyv2LJfcvC7l/2cf9 ixH3Lw+5f0mD/gL0G6CP49xmN+c2ppzbpIMbgU8D38Z9R03ebXPnvmMv5wYm nBtc4NwgFdwKfCH4S87ZmnI+E8X5zGXOfyw4/xnN+c87znlWcM4TwzmPrN9f ee/FRfXei/LOfE/2y9XYL8veWVLj/1t98Xn91P87eBh5mgl5mhF5mulYTR61 p5Emjxrmp8mjosenfOlz+Vwl7Uv+033Jki/5T/StaVrZuN3ka1ez8XuNtlzP xmX17eccL33h3/TZ0y/8/5ix/Qt//SoaOXte1cizqmxenP8reOKNx4PCtkeI sM8jteOz8tgZixv/2OoreWxu6Vlmx+9dTzunjSZ/+JH+iN9tv/H/wpJ3PmX0 Mn/OrXGd2d9g5a9bI8SGdpcSjTNcRMEbVnZ9a0SLoQFaOieO+ojB24/d9Qn3 Fx7TZvWpMS5ZnFK9b3+K9fesio8WfKTjksxfGf22T4kZMVn7L6+1F5IXZeG1 8pu0KJm1/5Kt+3EqP5z5DT+UxZncimPfe97J/DC3/k85p9/9p50D5JZdcuon CZJ4mNPzw5zOF/W8LsB8fDd2Veyudtnv+72oWLaxtzhrkrZrnXHSfztfVd4v yql+chqvnDivtuO8OpPz6pOqd4aPECdvq875lXercis+y/CcziPZvbPsvPF7 z9Ocro85XZdj8fPwvxhv/6/hMn3K7CKbR7I4IItLf9d69J+OpxInS8zTxMlL xMnn4D+CXwGXxVtZHLukug/9RBzrGfHsl27mKSLD3aWIr2ewOH7tQ/LAFbdF L/BK1zX4JXAD6sz1qTNfQJ15b+j1oXeG/q4qfr7hu+eQf/1fzN8q8N0TfHcV 3+3Ldzvy3Zt8V1l3XrLunEFvz8CroM+r4L/ARwc+Z+EjwxW95QM/CV4dORci pwVyKvntKPLbG+S3J8hvfyS/PU1+OxD61dB7Qe+Ffddg3+3Y15zzmZfUo/pw PlMOeTyQZw3ynIePBXwOwGcFfDLhcw8+7qo6lmHUsThSR9SSOqIl1BGdAG8E Pgv8AHgLcFPlvWgV/xHwl31XVocTwLjWM671jEt5N9iWd4OL826wlSrP1yPP P41/blTtU7ZDf0+1LzjOuJowrrmM6yL+v1OVb8jqgmT5iafknt1P8j9isvch c5rP5Bb+/wBpiCUA "], VertexNormals -> CompressedData[" 1:eJx0PXc8V9/7REhEKdJSGUU0fJTtkMqqyKysiMgoyW5S0RBZUTaJUijZ42av hoqMSvYeqSRZv3vO+963N6/f9/PH577ej+c+91nnWfec2ybzs9qWi+jo6KxY 6OgY8KtJRpjdhb0r9xwhrnTovx+AXxjL4r0tm3XhzXHWugwFSRKuODp+3KrE NLts/a8NoQ9NpEi4eF7Meb2N49JhG74LL21fLUvCC7vYrl9Z6ZP7i7lzdVtc BhXeKdY7JKCgIvvft49qe7YayFHhpnLlGqlmeVbZKxQ62h9Q4fj/sgcVzsra V88a5oakUeE3RatScHzZsAX4qpOvtgoqqOT5LqBvF1PJifMjw8Qyn5/KhgT5 jevHc5SGmy3B4Bz/yR8cp0+VmEr91RLio5WXftW7M6tvy0pyn5JYSqufrAuG khf3rsz85G5oT6tPg0ptx49H+XJ37KtM5rT4kk3C40PColx1NkqXHrK8VfZP MZeE53ft7Z+Jjc1lD488m+0VSoVrfzvkzOLCJ6dr/idIYjMbVS6+PW/a3R1i 899LVS1//DAon4QfP5xUZXTKVL5bm7emxYFNnoSveV3Ayr5NWb5TeaxVc413 AY2eM6sjb8iznil6WtSTQIWf9budiOMXLMRf4/VlBqdf4KjEEkdLX/LANzec HznLj+actPxY7H8luMSFL/9dpVEELf8b6r+3HzwZKyNc2Xho2905edWnVfY8 9FKReTKmvplfbS8VrpCoi/S5TLnB6b+TX6h2If1yVYg18lMSTtJl+vx936GT sVQ6j2uYej4rv8wTzVqNriS8b8uOgypRLXLcQqm9JmvpqPJ6ZFmkNTg+Krh9 WLeWTeExFR4tfpi9ex2jgp2j6sWv27YXknDG42KbfHhPFqbGZD91CXEr/DwL /xsB4vj/q00EFJ5UcDAHsgQW5s9Q4Dj+GhxfYSF+Xq3VQM86xsKXOtcu0NKP 1FK4iPMj7xzDNo+fRqap5sNRLfnY/cF+Wv5r++48xeWUVbI8MU/eypJGN+G7 oTIL9RMzgPnj+swm1z0J7x2irJNuOd9MvvXj0iSclT02DNo1X/mVC/RTEr6t 7g/So6ShuQHUKwmXPr3yv/VjugqfFp1B1xlCXtbFy0OC3dILvyjtiTWezVZQ LKLAVUJTWoZED4DQNWXGFofWAOYZQy8IF0wQWy+cuw1Esju6qkqcwPgfPG+a xOFuzsWbj9gbgtMg2O6YnivG5XGd5QsO148S08PxsesE/mgYBf/xDpZFw6IH MFveMk1I33OKQj9f8L+JILd0hYX8WEaqPMD5LjwTUTGP/97Rycu4vPJXiirV aeXVeGPEsWczW/6gS6IzrX6+tcjbF/esznu6V4LxLY0+Z4m4ucf4OoqjJJxc V+S6J+GkX5J+SvXzZddiIN+Tv2aRXkn++5Yc6NjgpYqxiW5FV0+GZ59mcPjr /aJvvVcHYn4R+x2lXiRgg3T3txqPjwAN/TiRJNdMbLC1bXue8kdM+P7vO3q3 h4HlIAM94LgEPPWt1jVEfsWGyhnsFKIHAV//fYgPhCLUd0B8UY4uhH/xQpI/ Th8kfgg7B+k3i0Qj+oWJfLE4HyDW7AviJ56Jws/bVs1m09nswv1qegG0/P98 En8Zl1e+cHLrPHnpaswn4h4GyZW2urTS6mc0VSkJ12ceO2OUzX98c/ok85B6 sB/KSyR8U6hxBYxr/p6G1TCOUuNe7hK0zn3FzyyG655K55WJEfQb0k9J//wE WJEema5w1UC9ijpT9Kk90CQZ5vUFqzUo2AOvjOwHVj6w7gOLq3jtP0mVYsPO l1tfnX+Lhcj45p7LHQZbrA4tWrQ7HgSOfgQ3suvBj8CMTwlcw+CUcaUrjg9S Yxd9gfg6TWcRfvWlFmmcLsjcYbcb0k+/uArRDy/v3ofzA8ReyiM77698hfgR XFnGb31oDcYzvbIV8r9rmsJ/gDYDPS6vAv0DiaW08j7+euXWkANbQemrZTW0 +rll2zqN6zOf/8klRnu5OX2aEnm613SqAuZ5El68iasN5pU3vrdn2fC8RMJz Xb+iOFgu9G8djKNkPNzutBqt2ydKFUxw3Z8k1vstBW6Kn8VEID9N/jiI/G27 b1Qz1EtX9z4vqNcr9sxIP5xVj4vy3zdTr5/WlhpdregDSawfJTfddsPEj7+y 7jX8CM69GRr2SxwGkncOVuJ4mG1sVQnE33n+wnGI/3W3i2TG+bcg7qa6KaQf /LMnA9IPWXZgJc4PGE/csRPyI/2yxR/yE7PhoLSKxAlw+us/YRGcf13pFMS/ 9FN/E1xehYe/yvlo5f1+feLq4TXe8vt9b1fQ6qeytGFlZ/uDfH49vZIHp+f0 yVY9a0TUSWmwbiLhDTLDZF5Pg3mehJN5CM9LV2BeIvPRlfNWKG6GuBVvhHGU 4QIlfkZacKJ1LrQh5Dxc95wveNB6P6wXKg/9UubU1XJ63E9r/uytg/7ZHpmB 9Jhp1n1lI67Xvt4RpE/LMwrasee9Ma3fcl7w2jO5+ScDTr+mr9kFx8dmWvLT oB1qut4OQvy3i6v4cfrYqPt9JbgO1FZHNkL6J0OP/vsc+RU8khULVcD5icm5 6QT5iTssuOaonitQ3Fl2D/IfKX8T8b+9wv9jAEugAszDVTTynpEySXrdkwD1 EkOrH54RjD4vJI2II3P6vEH48yvTqWRYhy7054Kigpewblrozw0Uf1Yg7ftO cT/y5zC7f2owL3Et8GdFij8D0p+TXWSQP3s7FPnCdf+EPjoH+tujie2l0C9D zjiUQz+N7fyK/NMmQXwP1KO3pALSq1pnN9JncbNnBcQjr4fuZR+D+PWsKXug P9eGKztB+v1reJA/+02sQv584qafGORHL3oI+fMw4c8nsQoXyP8w4c87PtmS /ryaVl7SnyWLCjxo9UP6M3eY8PibZ3P6bCLiM0elkhCs6xfGZ80Mv1lYh5Jw TMQHxWdVxi+cvXjdRMKvHPx7HMbn6ZAzDDDPnyXy+wq2OpSHVLZtCYJ5ifV6 FIqHkiU3UVxW7S+SgnGUjJ+j6yZOw3UebfZvF9STTkAN0k83zzIm6JcnNKT5 oJ/6/ghpgv7Jt/PnZajHB3vEEf6TnH+vID7Da0UUnz1FBRD94pprXJD+w3eD KD5L5+r4QX7uJBcgfgAXJT7b7VCdwOMzxkvw733hOx2MzxMM4SM9NPKS8fl6 rxKdMY1+Pkg+L4fxOWHUQvL1ujl9shF90WemHStgn0TCW9SaUb2BvbNEdf3C euPCdiNUhy6sN8i6iczX+9ko9UZ1VVEczPMhRH4n8xCZl8h8JPbxJvQzTNRA Hfldw5cu5G/e9oVLYNy5nECP1n1xfARa7yxJKM6CICLuShLxtr/2RiDUY6fQ jDKkfyGDok/mB8sQH+S1YMn8eqNmz76/tPyT9cairM4LtPK2JylOwnpj6+43 7rT6IeuNglj7Y5tXzOnzJ9Enq92yn8T75hwSHhciHA3r5+z9r1Rhn0TCyfp5 k735O1jXk3Cybt5pExwG69CF9XNp6/vPUA6Sf52dLN9hXjdU+bsF+pEskd9D dm1H9fMiHVNJuI73yFLWr8qbMlQ/q9gmcMM4amFKiZ8VIttR/dynTcFnIvDL KmPp4LqyOPCXEdJ/Ozm/fl60kuELLT/VDMOIb2bJTZG0/P+q5LsC6+eF8v7W 7VoH62ffFZ4atPoxzvcZu9m9Oo85/V2k0IY5fZL9INnHk/ByFZYvloH3c5uO qml6W8dQ7UL2g9vcl6E+iYST/SDJFwkXMH+fCuvOFTs4rkC/IOF1lvTLYJ20 1GoUrUsSTvaDAlMqKC7S9IMo75J5icxHZNwk4+jCfjCt4Qw9Lf224EVoHd5V nr5Myw/ZDxrt8L5Kyz/ZD2rMuM+TN+fDTZZRn/syWib1vyQT5/RD9oML9WlB zDeE77G1c1nM9ePkfOOoZ1ha2T9FKp3IEw19cL7h7TQZlukVSoW3ulg5wL4o lDN2BbQzCc94b9kG63i3vc2orifh5HyDjHMknJxvnGL3QnmGhNMR8w0bqajH RJ6no51vcGQPXqHFz1k7huKmTZjsXVr6ZBwczTnyj5afj8nNW6FfPhIvWULL /whTAPKzrK+xvScD71PldWr2wfWGl0uTQ64ZR/nm9GzllFqXoZAloRqL5kwk 3IaY022oa0RzJhIuIZOG5nXM7x6i+0g4OQeRunEM2Y2Ek/O6m8t1g/A4RI3/ MSX9N2CfeXPaLRHGLRK+3GztAOyL7u0PiId5g4QfKo9Ddfw+ywyUt2n0jOrO tjxfhrm66QfYUG7+HNZJ55oXc9PilwW/WwfzetEHfjpJGvpdPIrLYR4y1vsy j59VhkJMBuvHc7ZeDrCDfTMJv8+/Dfkl6acknJzXRVtJzNMPOa/TXTUmRatP 16FN8WMfEjHymqA+1QqGR0BO9+JELoP3mGedzcksmy+Y3q3p80fqB4Dg1+VR OBw0zm5CcIbyNCcIDx80Po7fD1zObXwE6eyq39UG6fi8qzaHeOkloo8gvedK RxH+183TV1hYX2DklcXfKT7mywjYtbM9eqVvBRA5en7r80VdgK3B3UbDugck iX5/gsMx07DHwhAuo1ZmDeFn6sJ68PsBwzofRKe6PTQO0nlltFULfy64NvQv BT7XylDUDT63OO87ohu07OZT+JwLIvanIZ249Ws34XDsVdvGFxBONz55FsIr JWTQ81QOS0O+sJqxDwhfxtMH4a9+XZ4H4WfUR85AuHvUENLL8TvfIqGe6jW9 kLy2f0MRf1x5NY2Q3/WnsxCf0SVV6HmLlXQ3QnpKjfEOkE71rGsapKv4rw09 p3CVLuLHh/X7GLyfvPYJX4yFdGL/vD0C5c05di0aPpdr5xck7+AvdWTXgl7F Y9A+K9X+Q3bhyUhOgnpJFNVA9wWc1kf4N9/ei4P3/zWOQ/DeoRQE38msfRTe 3y1npgmv/sGOiM61ywJ/ck7QZ0ronB2HV9KvXmyctGhJ3rrHkevH5FTzZipc UlTqUvYJ+j2nywL/0OKfG/apxvEzQ9Tb5+HLnBOK1vp5Hjtw65S5eEwUUCny nJCbGgHfVmo9deJPx6xte636VhdjOzZtG/a9j9exQusKFXg9MYdVbZyDTuLY tIrYp0w8j6gGdzq+PV6IhYpmeAyLtGOcfP6pFsv7wdWRteU4PvjopzI+gOPX MczDBwvxBT49YOTdXIUV97sIayXUYN5/za/Lhw8D3x2X0W+XJWMM8O+hjLYI 7jLoL96o3YjVW3ox9mS1Yv/2MDfX2fUCvk6R8nDbMHBefW+KwJMS4Jp2e8Q+ YgT8e1VS1GP9Dqx491f7UVQbZuoxlXAnvA9stNCF+Fi395ckiF9q/RrhH/5z EOnl3IFVMVBPnGUU/Ww5+RzphadFNhnqqWMRRT8ennkMkA93/ynE17LDToif pe99nxtv/wBkeo+9+OzyDUR5W1rmcg2Aw3Uj6He62JYn8O/ih0YQ3DR9QExf 7QUwZx3eBq/BaX+q/ZtHQBEFDztE3LeLwFe4W78Hx8M0FdtEIf5RlTaEzzfb EorjYfcHmjIg/Y19i2whvgZd51Vc76DhxT97aLfXrfrJUP9Z9BS7vmFdVwzt XCNIsRdpJ9LOpL0iX71B+mJJT98XgetbIjgJ6e3V44t3QofrQf9Tz6v5e8vA Sikb4dz7Q+BwVb79nj8R2EeZ7D8RltGgPCEkseUv3nfsb0by/uCokYFyFAR+ RvzvvNUWhtPBPNf53IJ0WNf5CEE6WQ8qJCGedFklkns2pwrhJ/0OVMH5wTak R6lAfgJunf0F+dE7zj4h6CQOIpz5TkG55OnFkVwL5AX/Q15AyrvzWD+SV2rV mAr0F135RiSvQAc78qe76WnV0L86bvxGfjW+IuE21MM9G5VInH/M00xlK+Sf tB9pT9KOr/lfIv2snIkVirSMxgY6byH9kPKT+iD1kHO/HP12qeO7C+lLF5kj uP/HwHvwt9WG2gfw72e7liD4+q3rPKHdTTeq6EK5+s4nIrvvb2B9AP3kV9Iy 6KeYigu3HeTH7AMH0htjx+ZueVw/Hip7kH7k1Z1eQH/6b8ApDN73KtUX+dWW DbN20D+YAzZ6weeo1V1+CukfpOBjuwj8dAKf8D+qP5J+yCO4dBm+jsCy7oFd +DoCs7ZPPsF19KLswg74uzRAB/3dVZarDsK3/uAK/y8mCrsuM+mFr1NQul0S rdNidgkmPG6ARA8wuXpzFZh2/uIN44b0x/Ri3E5YMGvOEdxuoPBZ+WNoL7dZ it+vXf04EMqdOrIdyfuyfR2KY1Jr5Z8J4fDf1RT4erqKaUjX3XYdM3wO37rn iP4a+4xgyEdCV8p9yFcThxTih4zLi3JXXoZxemE8X7QnMRKPz1T4+vOPUTwn ryQ8v6IY4T3alIfiOgkn80GnzjCiR8JJupeGmC1p4YpVH6wEr77AFu/60+iP NWFH9PgdG/YMgV9VORAOrjE+b4JwvgOT5yCcy5TuDvTD8BKnu9CvXwgGI3+e ercrEPrbsxYFBGdz0EDwa2PxcF2AxE/lOVDfsrHvkJ439nAguqBB5Rh8vr2n Inrug/FXMzAudHzLs4Xr4Cd/MPJ/geK0JXA9/NmcZwXhGccCEbyv5Xs2TgdU pJVaQDrCoXLukM4fvT4kj1Ix91kox15sJaLveZvlEIwPWzpXVcH1W59wBMUH YefriM6ZtFpIBxRHaSE6O1a1qsM8IvMgDcWVNPFohL/FAqD7R8tjEXyTiQ+C B006qeB5AVx7NBKD5wWwRNt2BOYFgi5GPoek7/BklR183tqHrgiezrIXwS8d Y0L3+5yTQ/TS755FdEj7LrQ7md+3D0zM8x9tdaO2Q7FVmAjHGLp2vZeqSE0b Buz841Yz6s3Uq6awAbi2tB/8fnFudIXyZ2z50Ykx6bJirDRQWrQ7dgjo3zNB v58fSvwD/54hvX8bhEfFzAQyragBPt03vsjdLQAZ/1bbPFk2Aq5GRHXC3zb1 pcHw7yyR305D+GcTn1Ecjk0erSjB4VhB6zorCNf78rqzqLkO89Ju7goT+IKJ bTXf37FkALg/KkB4/g2hv+F9RwqXI/zdftOdEO/Rsm5034WTgQj/H/8q887F 97H4NzkNWxnzsElfS9djtSOA/E3+nYTTXXYYxeUC1UXXVnMpfwbv/nAKQrlW UeBYFQF/Q8Df3I+wxfWFHUs9YgH1pkHojbyfpEfSSao69Rvqy2+GvxfCrwdL In2SdMnnkPT/3T+G7FHAOmsDnxPBm6cA6a//nQz1D2qvsCF68qcwpP/VFPth 5FWV4GfK+sAFYcY84OP/PhGXF3T9EHOG8ua4so7A31PL5NDfD77ehODLy183 4PoE3tIPOnB9gjJmQTWoz5Bt16F+wVkP9Sb499mBYFUIX3qpuQr3J+C1nbMS Xm/1vqmCfnW5jm3VItv3QEhn7/nwLbUgO3vDDedfQ9Tf5N9JuMvpt9o4HDPN v7Ich2O62bm3INzz7M/V8Le9Y60e/PvfwvqbEK4k1Xk+XXZ8d8vDbCd4Jf38 31eOa5my4xnx9RznaeEMTZrR/TPFQCS6vFr8WQcmuEzS9llVLzj3NLV7nWIp EI75ym3Q3IqFDbzfKJ7bD3TjtY2/Sj0CwdutXYw8YjDjso+njMZGwKLl6UZH 1JKAy+N9H3jT04GUomqfc8sI+K/jreo5rQbs8BY2CYdbrWCicCN7UXUvSFFR 9Um+/BYb0Q86g1/BiieKrz8qDoNz4ykIDyh6wPvAzLsKNoivkFF0AeLdH/t+ C17/hqtjEJ+XPUUax8d+W4sqQXwPaZGlEL+8PmYtzjcwc3dsxOXAJDdf2AD5 Z9xe/w6XEyzWPR6Ky42dOXXCGsrr/J2lHPLNIHrgGS4HFma+BfHv9lkdyfWf TQbLmvR07J8H1gvhNxn30cPfp3W2uUH8zPh8BI88w+kN5Qp8fPA6vMrU0CE+ 73vf2g/1EKBqLQP5ZTRNXAL5JO31ifHuDWifhfZSu7vqMi3c4G3EBMyns4Pj IrDenwz/hur8jlS73TDv16w8j+rr4MusqK4++/0VA8y7zEfjF8O+QILFFeVf D81kDlgf9LRtF4F1uG6JO6oTpou1kN+rJAafgHHg0iYZ5P9uRN1+g1K3Azai bhcXeIf6DnrT1inIl8qtEsSP8qJoUUj3bbs5es7XXxyI/imfSMRHS6gkI+Tr 1K+ziB//EllUb2gPHkV1YkCQGcqDsSzNerHWFZgeU89lId2vmC/jzUdmPIOA xCPvI/EBm9YTuH7jHVNRPDM3OobiWGebfCNcn15ZLV0wHvJ5haB1KhXPUQPx unySfsD7VLpcEf5WSr0KbhP1ahtRr7opS/fA+w3UdqF4oLD6PqKjS6mXwMJ6 aSeHrxHOPxANMHHA+Qfj2Y2JkH+FE2k6N6027fHfoHLn8vm5PlTO37sZ+mvn Zj4euO4iT0lvgn4rcThvE77usLzIOl+47gL7B9G6OxkphNaJf8WR3XDdzLac QeslP47d+MbsB6A8UrHD6Uc7YOR40Ssp2gty+YvRb8XBv6fg39eMfO2G8PcU fGwvgU9P4DtuesgO48wudeAA49PKlwzeMM5I/16hD+PORAcnjEtgku0Iikvx EVFC+P1Y9n7MDNL3/jEzDOnU3d6N1pf017aDcD1tenwWra+WRlM6uI6EldRP QfiQ6xu0jsi4Q8YhMv6Ml+qiuPM6rT0MxqGJDc+RHs4QccOAEjewSSJucIS8 dILxonPVyD24HseJuGFYponkvG4EzKHcuWk8SN7RuusoDm9Q24bkzmZ6iOLw N11mZajnsX/P0fpV/srBCumfcytD8eec8De0vhdp0iH4Rk4xFBcK3AyQfPsH CpFcqz+EIf0c8X9qC5/7oFZkCD6XXG/k+iPXnUDOZjuox8+qKYLwvj//vUH4 nrM/oP2wPEchRE8u0BLpucmim+HSefo9j8ozkX+RfvV0vckDGO96py1rYJxf 4kyP4rwPs9UrTuHPYIzpUB99eyNezwpn7dQeAMED1xD/oyICH6HdJjp3Invp 7NqC7tcY84L0gPHNXYjOPdaoNTDedu793QntFfrSG8XbprgAFG8d7Z7GQfyj GktRvL0cHA7xsKU6JihOiycuR/g7TyyKRHHZOh3d19G4G+HLBoqidTIjZpyD y0VdL9X/+rLhb131XiYoNwkn8cl1thB/4bob8ymuVWA9hAkcW+fttVkXfP+v OHQa9r/Vr3YaVHljLElOme0n3mE+p9V/2q4aAV+zt7cWez3GLB5l7uXnacdW TDF0Zxn2g6BhCzFNtWeYXPmHTfoGXZjIkpBho4oeYBt3PXZPZxSmc0pudlvy F0yI548u9nkQKLWu5blt9RzbLX78U/C1L9hKGcZKo/pB0Ljtx95mxkDg7a4T 1XGuC6zQ+9IeUtgD9s/o1XB3Z4EWnT3/1O+3gp8sM8te/DcAnGOiI09cjgZ9 /XWqNYUfQJBg0v7y3GGw7JhdT5xBLvhlLWQrpvEdcHuVLGHKHgDLVufc1eXI AEOMBqktFz+BrrKnnvXGw6DnYU4m7g+Y46n+AegPGayrM6E/uFk5YrkaocA6 9FQ0b7YXNuZXFX5rGvcHqX3IH+qFmWAdgV3u+WwD7dV6/c5i1ohy7NiTU693 m8dgQnofrYY8cL1hz3YZxH3GNq8/LnzpSCYmMcXwUfbtEDBPWbMarvdG6y0/ oV+UHbvIB/1hvUQRinexhhqw7sDE9lWg9e5yZ38P5K/OJgf578VQP+S3UdEJ P3E4dkvi7gsIL5OPyIDw5FAGPhOPGPBKu9II0sG2/7WEdDKMKfYWDSvWgvbf JEux+5HwGmTXU6YBydDOzT6bkX0fFZUguy7L4t2P2xmk2NxA9v2htAz5B1fR W03cX8CMvCbyk8ELA8jetukG0P7AXeANsrvDkQxkb6H3Wx7dsnoOprJOIruT 9ibtT9q95TPrJLR3vUR5F25/rOcWH7I7aW/C/hhp939Cb22gvT3kmhbFG+Ri po5OFLuz+6ZAe1sa/krG7Y/dv+CK7K4+k9DThD9vKefiB/jzsZ2eWT3wudGS 7+qR/zzl9sDpYTvXv18M6bwUjr4J/ef2B5s8nB422VZ5BdJRWDMVBu/3exd2 APJvG/Ic0bngqOwG76fjih7F6WGFCn2IjuvzbnR/WIdVOORnuvsqojPjUJwB /ZC+iQ7Zs/xIzytoR7sLZ0dwPWAHnwlnQj0kZDevgnoQvbhPE7cXcD3Y2Ajt 5eRp9w3aq1FcvQ/XM/i+oWY5vs7A8a63xVDPlrpP+XG9YctX6GyFeiut4teA etvK8kIYty+4yKynC+07vVS/B9p3qYL7s9zNulh7TE7tftxP2CeykZ/8UJgy xu0ODh+eSkN2H00eh3ave8fZgtsddPYxP4V2H7zXawTt3tn+oBauX/sZ5R9Q jgjpqZWQf0Xmb/GQbxWBf0iOHq71iH+Cb4yUg+Q/RPtyPFzvjps3bIJyPDE3 R/yT8ZeMx2Qctn74Hvo9EAx8ygLXwWgqA1pH/Dc05GG8yspfj+Q+mzCG5I2+ mIviYXHSs+9Q7nj9HCTvtSf5EjAebt1qbwTlbmGoRvIScmKk3KS8uxgewTob fAk2QPF81d3XKJ63rii5j8cRsK/8L2OBRijmQX8CxRMu5+FcPF6A9T5XMpZE lAMJFntbGDcUWH7y4fEC7Jh+sAKPHyDSj6kRxg0yvg/VJi6ijf9kHnxQkTkv X6QzHmiD/doI613URzPobDoA67cH1lzpX85exT75rWxT3rILu8YNzPPh/pmr 9cL1Wp4g/vSolx1wxb5eurw3CIc3z+QPx+wJAnprFmvyKMZj16yZckr+joCB JMqczcKqHs3DTTr3oLnW7evWaE7xagkvem8gdU8PzStM3gegulA76cAJWOfy cT9E9eGLPcaIPyPjC+2Q3/rno6h/549ZFbBD+QUYTpfTOCxVgnUcr2FVvjcC HrQ7f4V8i0fffgnlGF1D4X/id4Qn5Pv44UUiUI49Vyn8C+V3o/caHxlWPoT8 dvBT5oFDHxnRvF71ohjit/8chc9P5zrQvK44lvIepKmZMudvaQdoDsNTrorm /SxyamjO/3f9JwNY98omuaC6PYL1Nqrb1Zx1knE+QXnLb1ecT9A0pUjh06Zq Dc4nkNGMNcb5xLgHLyE+B+yUhXD9AnXjon+xe4Iw35Q/2VDPbozKVyDdBq8K 1B/IVJ9D9BW5DiH+5B/9DoL8anRQ+LwSWoD4u9msHQ35fayhgvi8+mg7omO5 IgXxOx5ijOjIanYgu5y2eXYUwoV7+pFdTu8fQHyPbg5HcmyZpvB/nMHCCPLt wMq/FsrxZozCP7MHhe+CP78EoRymLRT+3/WGaMF4FBYnivIA34W6CriuBW1U q2Fc2xr23xSM9zbiNew0+R1bmN/JuoGsI8j6geGPBMoXuyXeQ3ogJdLi/8sX VDrnuJpOw3yh+Z23GcZ7SVldVhifo4dtn8F8IfJ84jKM92l3NLxgfHblckDx /GBsbwfEf1jOyQTxU9YszofxvIDPD+UHG600FM9VjPajuP372cYPkJ/WRyEo bm+PV+2Bce2Tb6YG5J/vKHvJ/xOfARmfz3rporpE69FKmPexG+dKUH2Sme72 Eub7mQH3MZgvHgdWoHzR/uQtyh8uOnRZED9W2g3BM6/rzcI8dPUDN5KjK7OI ko9eBoTCPOTI5oPk6K09h/h/rWLGC/ucZz230TxGzwagfodz+cMIWA/d9qDU R4JPKHXRg22cObDuWSPmh+ogZZbPqP6RunR+M6x7gt1yUR10kJ0b1T9d6aWo bsizb0R1BGfXXlQ/pEa37oN5aNJ7AtUdhnZ6qN7Iyd1SCPPKUdcuVF/kt5Sh uqK0evMYlGu8YgLlf5l/4SjvB91leQDlsirZh+o9Rx0/lPcFAjnQ8zSP5KA6 dzZECz13QZ2DkXVOr81e9Lz14a+uw3jfYTSFnntzTR/KHy+6PMcO4/gjN4JR HjHqsUJ54pn1sheQ/pf4UpQv3LWMUJ5Y4RnQAemsZ6tA+YLU40aKXqn6/Deu j/Ro2mEF60lgkVaH9EnqUZuiV0Dqs2SyAOW5SV8A+2agoy+M8p1wQzk9zDd6 kqZXIX06azNE/0XT2kyYb7iZ7hdC+gPrLFDe6aTcj5US9PQIOrc77g3Adar6 nRfl8XrBLJTHTbfsh34MpOPXoXxtIRSF8vV5q40wX2OTfg+QXzcUMiF/Lms0 Qv5TDcRm8nG+cpZQ+BkHoZAPrOZgD8qDwm6nED9eEddhvgam4z1bob6L4wV7 oZ67out1oP9wFDMhfes1vkN6zncvKod+skzPHOm7+chbpOeq228fQPkj71L0 bVBC0fOVR/n5UH6eg0eRvn/eovjtnj3nQs3v1GCF/5ZbutHFYrdtp53Py46A eqdSpM8di340QTk6NpnM0ycjRZ8Yqc/h5TaIzh+NZCecDrigPYbodI6vObvR 1wljlRr35vN1ArISUdI1ePxsz0pE8/FoptohON8u2Z2P5uT8cYmsA0vrsAPs 7H9r3rcB9x3Rn62je4Hx1VYFmI/pZ03GYH5+tokD5eUX7arHYZ6o6VFwhHE9 vOoSiuf7mfPtD3+MxH5xpLblxWeDyjK3affPI+BUPOs+nE/Q2hpgBfnM6g32 gHx2zTichfJ77IhWgn/PKn2J4GaMThd1P9zDdMWlrt3ZqYvtEMm82zGD5y8X JZCXEgF0tLdecUy9gUWH3rqlg+ejDbNMUw5CtdhlhqAEx45mwGM2YZPbOQD+ DK2/D+9Xe3cV0bshSKFjnNe39nK7E7ZCcVn4ojFn8MlILrwc7utbmbo/Pz4b 2yMjZI3LAbZe3zcF+ecMYP39/GRj4dCYgzZ+VdA+Pon2s30yEI2tAcrYqP3z U2xePwo1Rw7GQ/jov4opIXY2DBtiPvnfdWcQNt3O0YHDf1to3U7xLMIef1aa 2qAbDdhLhZIEU0cAfZSJgIgDH1YApgf2nfxR+OrLiilIx+b8i4yIWmesgjMu f7u+ItbbPz3TBs+/NHpvusQTgP3YHHBlnfkZTF5g0O7tzBydfDA9htNRIOm8 fHwd0emeiX2P0wGVBB3L9BMi34QfYA9XP1ZvOK0OtLkXLfbG/c3rS8VDYQc+ UA2m2ffjdD4TdN7kFD8Pr3UGgXfjUyAdrjy6WUjnilfK8EWeAFAZEgr5AT7D PxE/78F0F5Tn0lWecEiPpLPfMz4XyhNz3TQF0lucQ6HDK+PV8VX4AVgSkMkK +dFbwon4WRv3AvKHibtro7/bcXDO47MWTH+DzyHpp1qIFsfbC4B9vKd8t7qP KlQkWU1AeMMfo/Uct8RB9WPnSWeNGYUbyYf60T52MD0C9SUjpzOPz8O8p4zw +wsTUmoQPSqdx84D+P2FjQQ9H4LOfYv4j1AvN9x8XkK5Bp5R5CKfRz6ffG7l 2sq2IYORnPNa/IVNmfLUcz1O977I+X80yKYPDdr765c+dV9iXYSMwYzjw9yB mcqW2ZIAKv7zA8HVNr2D0vk9+r/vruGg7ocU28YjV/aES07kV0P1iRB66n6/ c6t0jo2wuOZWXUkJ532SQMWX9w9oKTwRkP9M/sp4sO816n429w+uq9/Z7ZKV HsqIHLBQmtsnXC3OyHZbRV7CR8j9Ef/Y3LnXU/6/GEVbc+n39tvay1ymwl// DJHa8vOYPMvfoH3TpZbUfYkpiX12S/gN8qIOaDFajEZR8fcyptvE0JnIe2lL 5nar+1Hx8dWXBffpnV5wrvYn04/3wOyk7LMFdP7OzmbA/ZOMC86Hthafcu9z VpfXX0CfbsqQ8/e2Vhm6Bfzb/FrlhPNfQLeNYz8t/7l2D/fh+skzWqCf/kJh UVw/Bb+ljY/T6sfp7ZOrP1hcZbIuF2xdR6P/pXbqTrj+5cbjV/6h1b/Z0zUq 1p2DOXuSjwDNLXP2Tdnl/RS3bz7des5aWvsKPsr64/fRQMpyOmee/0Rp5t/8 q/xQhlE08bXjuzn/Mef3SAlOlJBcx9ux3pxFkrpvc+JpRkLHyn0yfMFHzkzP Air+73PrO2+EB+fy/vGRqrCPosLlw3ccLLNMzmOwcEsvx68kXFtHqal/8yc5 zolznJKbf1Pl4tAXKWw/F1xg7rEsiWvvfao+24yWJ341GZJXxWSGXuZzU88F FKfePSq6dW+hv62pftBpw8JpYl9xeQpzYtjdE4W+Dn2NnD6XC4sJ+H3ivGrC gvOqtSk9b7i+n1CwW4C/+aKALE5fwebHwXn0G9WUXL6bDBW4+T0epOUn3a3i Fs6//D3DikRa/pUtPANHNn/KrytT4KKVt5rddbTUMlmWs69jnn6WnylQux4e LMO4QJ/dpRGKvyNZ5CScWqxUfNbO+fOowUE64b/5e6OTj/03/nnuPLX6bj4L cXUFHmnFUHidJfh/m79v42uB+EIDJkZucZ0nCko/KPBw+fO8PiE7wRvmTWIs koyAV+f0MIQXnP16Qc94L9iz+ljbMg9ZzL77ykUI1556zbKuURp0nqrr5Waw wBoEtIMncLg9cV7VYsF51TLZYr3TOhMKHMGfF/Hg+IvLegsgvnfc9wc4fWzx 6okOSP9IF4V+VrOBBM4P9ocpdjPkp12bws99zndemEC8Qozd4nn85x0ai8Ll LPwrlTZPXsEOk+ezW//KZVhJadHqh+mdmc9YJEv+qOKvU7T6TB7ounhgS0A+ U233wfrrUVR7TUwFcfimxBQkMtYpHnwWRbVvxArTF6IgVcGo5d6pIv2kwks9 lOceZW61j3aWwjgjllt9uSOF/bX69QrC935lvJ7FeQnLjyiodXt9D1thl+/7 Es+P5eI/lOqUMsDDK4ZqOiJ1GLOP3Hi/4jDYeUDzT3h6IriQpPhOzD8L06+p jrCpGwGFioMWyf85AvmoLSUmBR6Y4cnoh4XQ/4k6pHtBHVInGe2+A6QWvrmZ d4KWz4gNmh/vpMTIvzvtMU8ut8iySuUtAXLyFz6o0urBf6mGP18Hi/yBG8t3 BbgbUveZC5pOhHTECBUGj47aa4rNUOGPTP5sUXXgBMvYJc1EsmUBNjzwDj43 99bT63cTQrBN7X5FWtaeWGqxdth3PI+rLF8ylHc+B6woV8z+1P0aY79UzaTt PwKS6g84vfjdBMqKxRWHrrdg/MkMqYd+94Iy2/qTstLlYOcGxkemN0sw7aoX LgKbR4AeUTcqLKgbuXPuX1d34MSS2cbNIT+2BD+HEtKlcf4VzO+Hu9Dyf7Nx m7toB0tB95GUefKyDkvazepfKwg4ec80uUyRCj+hfohdwMGxUO3hqgOqj40K ewk/TCxMXHFVSRdbt70toEdnE1DescgMntOJOEXpE5oXzP8PaNnEr7zWiNUW MKgPfm8CubHKgdzB/eCpmAGH6NbXmJqTYUUWXSr4eOPjY228bsz51D+z1OA7 OM/99PHF7ipsIHD1lyD+AVBK9BH8RB/RSfQRlgVWNy4r6QIJzTaVXpyfQnsK P4J0XHX8Do4KjnWq6rT8M2pukprRvybfe+Pedlp5lb5u0ioTiS+YmqA7vrzf a+48pv6xnz/Y7hQum9Vz77i3QUGNoLOkPK98SMQek276e/CowBHAEsTnP4rD Y9Uo7wvcQinvCzYT7wsK67gy+tLfYC+XCAzV1ftgrJKX6t9vHwG/Es2Wqru0 Yl7rJrhriyKA3SYjZh77AfAl/aHftFgbqDBsrO6kj8Eqj7ro3f/XD/LlKXPm xAVz5kM6YfE4nwoTMzo57TR89qZ12JeKxMv/Hac7SCsXaffOXcZTuB4KFtp9 8hqyuwKpt0uF35Hd94q05eF2xwQIu1ukecdB+3770HcYty+m0nUgANqX7eX6 5dC+9UnDjrh9MY4E7kRoX96j65B9fWaV03H7gvDSoGZo39VE361G9N30RN/t Qdj3/rW2BvjcScK+LRv+foL2ZSusBLR8kvaNEzeuoZWLXO9+2lGmuP9T4bHn De7D9W52ZfUVbbEZKjzBmButdzeBLf74+sI2EuvLL+48Wu9OPq438fUOGAp0 0XrfL73sN1zv59fIctd1vwYbgvwY4Ho3fiZ7Dq739dvzD+LrHWyY+ZsM17vY 6SxLuN4LpcQf4usdXP4yg9b7kYxoPZw+GOz8cQ3SP1BrhOiXZlPWe9xmVy/I z8wQhR/G0jC03llvSx2i5T9vUgSt9//Wy56glXe30+FLMC9sCE8PrLs+V0+y TFPywh/6ip8az6KofkLmBdaqe3Gv9ZMUyHi7YQklL0h/NBLC8wIotKbkhcZP YZcPWmeC2nG2TQ4udUBisfGXtzuHgeeKVyj+t/0XF4fHf2DxSCMSxv/9Al1C eB4BTWl5z/A8ApY4F6M8IpRyZxtOHxwQfiII6d85TaFPxv81G07F0vLTSMR/ k/dc8/iPxKyqYfxf+04ohFZeO7EKZViHLHWJ4lP1WTt3vmmYUoe8+D38U2r8 MxW+UT0B1SFdIG2VJZ6fybx8Sl8Z1SHfFMQPSeg8KSTz+CWHTFSHKNl94lgq yYhNEXk/5yHfRViHtDWrJS/1kAWOo5Q64XLVnemienrsuHPUwHUOK+DIez1t HId7vP0YBuuKlOamFxBf9wcFP55d4z9YV3jaJo2x4vQrCfrTLu9RXbErwfUI LT/Zh26guqIZnFhLy//PqGBUV9TPzpf3WU9/IKwrNj5ZvplWP5H0iXy8r4Ny WcNfsw5kRlDPSXUMfhaFdXK4miQvXgdS63myTpYsuey7Z/Nvqv5z6EIKYJ3M NZ6ij9eZVHsxz/InwTr5WKvOPbwupZ6nM1K7gerkX5EmM4GnDRVo6uQkWCfr tpZfwOteBZo6GZ3jE1lwjk9iVUo1rJNN5Lrn4WevKpSGdbK6pN88+iLRyqhO 3tfyYh4/4/l3UJ28zDJyHv9knbytRMGPVt7Xs+9rYZ1s9O+6MK1+9nm49vzM DJLxfpTRHysQSdVnI9FHaw/mL2rOlKfChfQe6MN+2b5y/eWZkoA5+DZmadgX O8UuyjULoafaa3GE2DfY/06P1rYE+F6b6ysX/Yf63AHlVP9U/jEqPtnPDt3t ypostaTKRfatjL2vGbrU/ahwsg+1WHCOj+xDReUV5uHHCT1xhv2mwOL98+i/ YSwQg31lf5dHIC0/J8w+nIf94+HGg99p+Y85IPMc9okvJUQzaOWVWvFGbXN+ mMwis4a1sWP3qPpZ9X2PQLa9rMyk7I/KKPu1VPj2Gv6EkESJrJ5fOx7gfSL1 PJrOUgc0rxg403of7zep59fIuYQ1j7Cb3xoOar+j82unIZw/RHw0FlnzJIEK 915hwg3nDGzqu9rwPnpOz1b+nxaLtuaejTuhc0bmMhXe3Wx0Ds4NHnJ3cVmO ztWrk7OzqXA+8G3BOT59+8y3cD7AeGnpKlp8uodjo2N4vx8TwHaKlv61+89l YV9fcyRaaJCGn2TGAkvYv790dwlbS8O/5+G8omd4n87zPYM5fdOcvCFtnqgf j5cVC6XVz6XWTvv/Lq2Wfvmb5/BWN2lq3xd/1MIU+q2WRKYOa9xcn278VEsN +u2lafevtP2+yn/wezoB+S/Fev4mPJybG/yWVggt81WRl6lK/ZGoOzd/iPNg WMq+jV9eu7d1l8qaU9R858zehvunnjzDqsecVj3OVLjKdCzrAK7P5o8z8+Yt 4pG3fsK6wQGs0xzD6yMS/q9qLVbma1BwUUbQNsxsMdVv9bceDwh9EyL39NHi Jfa2PlQ+BxaLrFniwpG/ro8/QeP91Nz55QtyMrnst2V2qjSYJKyam3u8DWCS fOi1RWaXftAmfrXNVP14TdjOOEQH5766XDivjz4jdvt4MR5v9RqjbYtp+u6T CRH+g3i87V/xJW4PTZ9+OP1JTINjcIFTkUYVm8JcX7/j1j3Lo9uG5V9Ou5zu ipmbAyRsi2M+yqtcyGXNRecScpR6HlxJ1D6j48RveRXDLSe/s5gXTpLfzUim R+d5j3kWz5tHvVnydrFZ5gmFU5L8Bd+8nAu/E/gXx25Kj22bKRD0i6FXiROi Prcc0xXb8ilMfpXVkWaZynAqnY0mrcnA4U2+nRG7ZPDeH3NzvKZ7Y6Z+XPnq XxmMQ0zm/Cfix42X8n+jZQQ9P67zMXxI1dtPfdeRA4H7ZO5ycF2knf+cHfBd PIzXAxp53+bNJRr0HI2X4fWAvvQtz4w/c3331qtNV2A9sPWq2lXaPt075H5w sFt8oVa7eLTxbJKCFpF/zVYMnX0ZuxOA5u8bl+YygPIRXZSvF0ud+y6VuxRw R928flhCEctNflgA4VbqJhJqdtsAg0OsM4u+Cvbv0Fo7NOdR/4PmP3yXOOfN f0Z5X/9p27sVeyO+Ti3e0AgrbY/5OIXDoxvknaJjcbr7h396ZnOBww90cyB+ Zm+R0mfdJAUf//r7nf+lKtwm6qiEVUcV/H/uK+x8KOao93MfVa7gI9wSIju+ ye3tf/THVHmUqv/LKaYjTbb9eZo/35k3P5yh+vOH0RH17r29uV+C+dSX0fjt zh9SGkfgXMKka95c4hHPpYe38PqTPyDnqjJN/16vuYl5N15/mm4SyMuh6fc5 V94VH/OUwq7uPouuR+kHUX14el9e8r4tFzCONrkT6fvvYRZna9ZW4fWk+h2N 1MPZKQDL6DMtjHmLbWi2f3F8Bd6Xefvc4+b1AR8tTjp13nTHBsWTvh7B6Qy+ aJy8u0EaSHzeG1jS4QpUXsyKfsXhDMR7k6YF701MEuy3a+5UL3wyezXffeec P0QdOm+WJPdXjrN5xZNdtnP+Y+XEuyMwnSX/TfBVS1p/MypbyVjSziJ/aDnn vD7dOMbDtAvvU3iO7us6um2ur2dVEcs2wfuUxjwmO+FsWbBthNIXPOZdeeDS yxDMbJPzSfY1XphGoaR8A95HPJLZzdB6tRScKVdg3nirEdu0563AmbVDIJ/Y 9/KD2PdCT+x78Sf2vTwh9r1cJ/a9rPU+adLzX2ph0wNeugbdpELSfxy3bNYq fhYjX6iwfNXT7XN2LEqTEZ35e09uf0TQLlq7W3Vq3lxscK1gcnPEvPnD+f7B 0dV4HxrP3PphL03//tjSO8II70Ovt1SwG+luAuW+zKgfPDNGOWd6QoVyznQ5 cc7Uw9Ba+/eaJszTMdRCbeYb2JCklsWt2wdESyj7aNmS5u9jryP25+gt2J+j aWq2mesMJyYWySz4I0sWLKcfQnq+dPdpwoE4IYU3m3af/kljl7/cegGqfSwF OdeS5tkxBpg3VIjEF9x2nD1G24/PxG8LaGW7U8g/w8ut7zfXvxuMjAfGvDuK uZs5OacmyQCLzzvsYL9/dtGKMVb7Cuz2Cb60HcdCwJ9g9bhP50eAIrGPoo3Y R9FF7KM4bEg5v+lPnN9UIM5vWnLa39+H99EnxVY58dHo+YI239rfeB+dkZs0 b07if2IPyotcNvrz5gbpqUnvcTqFOg/Zepxp+vHXP+Xq3ggpY9LaqZ0jwYux wgtNaI6nsHjocx1jPcZZ7oGuPmPuM2/1B0EFcX6q1YByfuo9cX5KTMN2L64f hUtLup6w0OiHdafAWLlIvLzJ3fnzjVFrpUTZPhb5Jsewef2+2rmTi2C+sViX eQ7mHxJ+SLq5lPMMJ1ibIHkEty9WTkexLxuxX8h8wX6hN0O2nhlBbuC4bqLA 2u5U7Kb0z+U/RkYAxyd2n1rvWvCjyt0bXitttnf/Vz0EuIjzlU4LzlcafTjA YaikCwpUK3Vwf8Yu1VD8OcIqLBv3fwVtsaCavTT63OgurctocE0+dtB63nxj 4Pi2drqJe/lpjE4XaPvclWXafvh6LBhi9S1/sn2uL16xfSwExv1ey0KUB8j1 a0zsX2Lhp+xfEib2L71Z9M7TtroQJHEm9ozrfwM8/FwOF8UGgQlxTu0QcU6N lTintl0wx7xqPBZ4tTIYwev+/pfxPWMjoMurdzUelwAGngjhcQkY3lVCcYl5 /9uVZg6cmEfugbt4HMNsiHnL1I81DHjcU/gb6FNqSGOvlOKfQ+/bWQq0kqXn zTemDhgP3ktnkeNxFt1A27cGrr7G8ETub75NPJOmpO1cn/t8clXqYTxeC369 IeOxc64vfqJVKSaw1ltBjee8y4613oVsBPx29Cnn1Q9MgejT1C05zseAVpBh AJz/e5yLkpQQMwOyTvWXrPP8MK3f3Xs54PyNKUUHz0dgqMpDHs9HIGnxB5SP gup1R397SgGxt5RrzyJK/nLWN3svCVILc5wmxrJp5hvLIqSM8fwoL3hvYpcy zXwjujgv7PCWADlFI8F5843azrYTrPt6ZXiucrKI0/TpDj+vujfa9sv2huZJ fXk4Q60bTzCobNu541s+vadfnonyKJVOE4tbox9eB8jdZGzA6wGqfvToSxlh 3H/ty3Ac5gHSfwZqp4/h9QbYeY63/no2F5ZF1BvBZxlkB67UKnDof3r1wGtW 4Ubba4Q/w3qeRzp3KbY4w3nfIQlF0JhBqX/eu568hddLWKjCgRb2XAbMhaiX GDKz/wa5xStYvZptNJ1NKiTrqwOewrNwvqHjeZqRdr4xWJJayC78Vy70YNWa vD9zdld/qnpsJJIlf/sPznnzjRrlnNuHA9dJrypdM9ZE03c7BBT31yyNyX2v bLbm4OcHVLjAxu5reP0pN3X5scp9k7k+9Kv9Ik4phzdy9pe4yoL2/qDqs0J1 yVm8vi14K67miNe3c3Y8Y2MP84fpqkiUT0g4prP5jEbmiULpeOCB188KZP28 jZhvbF0w3+hO9qx+YfRbvtI7bjtenyuQ9flyR9lZA15lhWKl8nTnkKPU76Oq /ssUN9w2XOBbocOO1//U5yrfU7HD+wV5uszfrni/QOXzOPZVdXTzp3yWb4kb aecbvSqXOfA+RJZ7ZRxDMc18wz2LMt+YtZg/37CcrKoLwvvuaP2UvyY0fXfp 2t6Dl7TopHPbWlPL/m2k4kcML9tXans79+SxPWcHWeb6UGbJbxYsLhxyDo1f +Q69n6LC6+oYV4a9CckvZXi89bStD5VPrpO78f7RQF5IUeRBvNliatzwSXQ+ DfOcYGXmGpj3SDg53zBfMN+4+XNDJuwrVw9cYTvV40yFF6vWJuJ9aEErT2Pt /jWnqPB3n7Je431rQbWX2qJ03bn5xsca+P2iADmP8dNtcQ/n5htGyTdz4Hwj Zpa3nHa+YXL7mGtVRJjMNUv34eqhufmG/Yqt4XicxXx/b0FXjhdnUbydnNq9 TlE9EQu0fX7k58ZHWFJ6l8T2UTzemlLOEQseo5wjziPOEWsS54ivE+eIdxLn iJ/1SZW1HygClVvLRzUn32GP/hN03ogNg7TXM6Mc+/D6Q6HhKOe+EGxpnJ+u K57X4j9NSc8+rcP69PuHRA9UYLZpVh8eZQ8B/xsjAbwdXzBLsyA9p5M12F4F pl3M/wbAz7VObni+xD6taHWF16e7Zfth3gwhzh3LCsw/d/xTXxvlV1MXdxeI H3f3ai/ETz/aKIA/F7DVfxiFz83M7qiDz+0lzgsvIc4XVxLnhVmJfbD6xD7Y p8Q+2C7iPMUf4jxFJ3GegqSzgTh3XEHQyV5/NhDKZSJhoIPLBV45LUFyaen/ 8m1OrceYS+vWBgdVAiajJwL87kNgG3GucMtNyrlCVeJcYeb1rUj+10b916B8 Ja8KkFy2UtJeOH2wfkuyLqQ/+m5GAtLXrxr5x5MVg9WwZgVG3EoAEXmH60/8 HgHpMkrIDw75nz8J8+/ELz/kD+cWnE8ExPnERYcV3+H2xVJH6Jpw+wJx85Mu 0L53Ut42AvVE0G+guBT3H8Aiq7wb+k/I9nq0fpPVCi+a0OyvCNXZ2BKYKCFZ ftHsEi28Zzoj6VeskoyFg0P6K3tZaj/45s6+A3jexBRUavZb5fmB94kTKG9G GCbV4n0Zxhy82hX2ZQ/3J6C+7OHfKo6I9ETsajTre/ge+djFDPQeeZ9CvA2e lzHB1WtNKpyPYcrFR1FeLiPe4x9b8B7futMc5fG3tz2NIP4QRsHXvxPCV3nm DXZjLEPToKQOe1AbkCZlNwS8Duhfk5Uux4ZSa+Pg+9mfS/Sd4fuar8GN8P0O lrp3RAm+z40LWI/e5/5Zzf7JOr4amOhKFk1UtGH3+7g7uIr7wFriezihB+b3 KXVE/yKzoH8ZyzXQ6VzdgOn3ZOi0SFRjUzeZP95aPwQK68oddhR/wnybl2YX /HmLzT5jvrvl6hAQ18iOckv4AGzW1js1dLSCgr5hCf6MPiAUz24iuvU1UPl2 Wwm+bxVT+vQIvo9bynwjAsfHnjNMIfy6RXt2Q/xM4nuw33/N/x7sqiDp1TbD 7eCvquqpvNVF2DIFvu9G5/rAkCLlOzDLl1K+//GG+A4M22szLhwf6zA3s4X4 Or+82iH+ztw/w8JvO7BdsTfYVQ5lYttlEoHfZC/gUVYIubbhCxBl9Ndi/pQH PkrdbQ4qHwQdR2YVl6d8ALbWXcuZlYvBz7bCX5Onh4EN8T2cwQXfw5E/2aWB 42MFsuy8EP/I085RiE/KFbvgO7eFRtec8edi9/0zjsHneiR2tMHnPiK+exOw oG96rk+Rt5747g0p7wK5ACmX9LAW0oOkRqQ1rgewReI50oOvyRckb/yfbn78 uZjQ0Mov8LnhXlsZ2Qy+Y2PbFF/C96Tpmp2N8D2pi4Q10oOe0X1hXC4sUn70 J5Sr7IItsm93WYMIfN/q6d6N7PuV+B7O9gXfw1m3swXpZ0qKYT2kk5WEIf3U +Wz9g/MPNjkvWgT5V/JaJwP5526mfMdmuH3+d2yWq2smQX+bbAk5jfsP9lb9 uQz0H3Pj9AToV+/3fUBwzY6/CK5zb/lt3G+BQ7BRHe63gP/ErDf02+VEf+S8 oD/qfrEUriPsv0tbivF1BN5KnmuH66jx42NHuN4fi3Fzwzr8ciilDg8hvpMp RXwn05L4TibPpSZefF2DlqLlCvi6BnUyzK/guva+5xAE5z8TNuO6bTfdgeCS lyjOkHNszuLOm1vdpKl5tqijqz7SS1LG5eJP3ptePFR4OBH3Xt0ym1fPnCL2 oU0IdYTRvl8wn9mO3jss7gbz9qdlS70Ule5txeJE6JexKeRhRxte/z75ux/k L1oZ3Zf+BvRVfbkA9w8MRZV/hvsHPAl/Pr3Anw3DKsRwOqCXYZQd0glaz4Xo KJU/QfSPqTlx4XDwYm0agntvD3KF/i/66Iou9MNexwvI/9MMOxAda7b7/5bi +FM/NRF+jefhvXhcAhc5aw7jcQk8Vk+th3Fp7zkj5TqlDCw8MUtUR6QOtB6Y mYT7fzqJvn6K6OuriL6e76h5/5/n1djB5XfDRSeasOAfjhyv3QdB5C5lQZjH BS9bdeF5HBSl29XDPD7wdDbxgVkNeBqjsS31bwnQ0L4YFfdlGEQSfagt0Ycy E31oJfG9lBHieykYUecYEnXOXaLO2UbUOTMfmD/i9DFD4b7dOH1sZ1JOOKTf WkOpQ8w2U+qQGaIOcVcSCHkV5IYdre81XtedCrAd+ZxwDrDkpWEnLhdIpx/K xuUCFy6tWQLlavenV4dzA06RG6chvrJNCsLXP9L+HerBJk84B+LnZWoi/Hqi 3uAh6pYaot7wIL6LYkR8F8WP+C5KGAF3J+A3CXgdQUeUqFuqCTprD+euhvwf ajPkgXMMkQaGFZAfjYRAaBfQcFblIbTLXeNcZBfh05Tvomjco3wXpYP4Lkoo AfcLoMDbCXgU8f0TB+L7J9PE909uE3ATAs40SIFvIeq9y4Sepwk9j11ZfwPO H9ack/gxrv8NE3hdbQ/nD+wbo3bPFFQCviL2Uubn7ZidhU9Jp1wfmJnZr7HK sAp4tZzr/aPYhq1j7bn4ZFc/iPpQEl6kXodlLlMOOKn/HZgvSuOpnO4DG5hK GuAcSttZ9j1+Be81ns7CedRUrWbjCrOP2PIKRvMXZ6pAm5XSov1TQ+DkGsEP EO8dV1YdvI7wtSJ8Q8Wcdzg+SFTZZQvx+ZbIM0D859YTZTh/oGzfKzGcX2xZ emgx5HNdUzzXdrsKcPftOhO16+GYk0yYTLLjCDhpISvZKFwDQie0W4cf5WEW l3ekma8cAT1V2TtxfOyJyD9NiH+zSFEa4reNXtDF8TFupppiiK96dTYF4osI zDZA/leOlJzB+cE+VcXQQ358iy9pwbno5m9/7NRmvmH6KaoZcC669YR7FNRP ytCWO7h+MOO3s6uhfuT23lgF4+f4uyFUFzX687+A8TNwRzGK5+9v3kyBdcio n+otGM8fEPNVzSeU+eoFYr7KOLEW1S0c0+bvYPyvk865A/HpBP1RfZXxOTMc 7oc5WfkQ1Vcq405nYH0l5bbxMNw/c/DbvmewvmJ82bkR1mmeH3bIw3h+ZXtx OuRnHZM1yhfxxdhrWHcZBJ1EddeGZ3dQPrXRrU6G+8qe64o0oXwaR6nDD3lT 6nANog6/RNTJJ4g6WYaok//JiaC6TjC8AdZ1wODkY5SPzhwJGv9+tRS7qPSJ Bc7VO7km0Vxd/pHrftwPsTZuDeSHTF7HL0E/LLp96FPe+RxMZm1zAdwf2Hhj CO0PvCRaeRi3C+jZVY/m1a9PrM+GdrkjFxWJ2wXsO7g7EPrtXktW5LdtxLrm XdDXrPIXaWS1rwCJb77kw/kwb0tMPJwP92xYKwX9yi51ZTLuJ+DSq1bkV7/Y zJD/rOR6nAvh+j/Xp0K4HOfbWujfe5evaoLr45fgJuTnWkxeb6Cfuz5ddwn6 FX1FDFoX7QQ/O4g4Q/JTQOjZhtCzOqHnrF8hh6C8OZ7ZyA/PO3FlQnk3rhdH 8o4aWCI/NBER44XyHn9M+X6+E/H9/EPE9/O/EHWO/oI6p4ZD4AoeN7Ak11QU N75/LkVxY5B+UByuw7Ez3ChuqColo7iR8aw9auW1RhAqEqYC9yvuqekKgvvZ wpZS/h2KjcS/Q+FM/DsUp4n6c6Xs/PpzZ2tDCaRrL60sCeNTm3MIos9RJ4Pq Z8mHtyxhHah7RAjVz31mASg+DAV9k4X4rL5MKD44BKr8g36llVe1EfcrINX0 ng/6VVvEE3XoV8xqbP24X4Ec4fYL0K9uBtJ5Q3m/SK7phXNa79r2s1DekmUs ME5iFx64ouc0fLyO6G8ivmvBteC7FnH/4/sVqv/juxOH4umQHtOyctFzMo76 I3kNiX2hyQv2hX49ILArefgT2Hly/XL+ex/Bc90Pe7jHBkHryr/SOBzb39nI AuHHHkcj+C0irzkQec2XyGtZ1RM3p8XasN9X3WLhPknmcwLH4D7JOxwvTwtU dmC1m+sv0G93BZ62z7mXbOkD+qoUOZnvz9+fOb1Zf6W6SyuwlVke+r4oAgzF rV8E92F2E3OAlAVzgANyiwb2hFQCj7jjRdFZaZhl0eDvFL0RkDv9/38n4cdR Q2bJkErM5Gx3MsRPSc/8BfEtie8VbCC+V5BMfK/AhIDvIeApBNycgEsS8GcE /MKtrvO4vOBB624GKG+QxpNlUF6m//HdgFNvmBbD94D6dSV80K9c+u8ivwo+ 0QD9CoxMPuuDfsW9bQPKmzUXKOf9Xyw478/baQjXEViddRD5lZPHO+RXX8uC EqO0vICYoNypwFMB2HJra+1LMyPA6ZfoK/gedm/YovWFMW/BoTzLDPgeNsI7 3a9kWwi4JFF6TetNOqjpNbyb0TUCkoj3ki3Ee0lW4r2kH/FesnLBe0lh1ZLx H7/iwItDNXaNYXHY0rNlTRO/R0CTp3sQT1YMsDfIfBNxKwGTLTFGc5I7RR90 jxwsBDp6ku4rxQuxgrBPOXW+I+Az8R5Qd8F7QJVwHiVY9xr8yjeE/XiEtziq e48v2e8J5zOMo3In4FzruIM3ms8MM3h2fvr2HczGBC5+9K8ak3/nNaYx0A/W skyc2B6YB0a765rrWGqxZr3ANVerhoEzX7mS3wZpbEe66GBJhyvWHz+D3jtr CXmrPSsVxiZ4xQ9JJrlh50f+jTXBdbp73avk/xwxrhVp500KPMD7bMr++T/j dB/g/OTF99ojsK/hP5iK+hqRGwwqcN4y0GbsCd9TFGVQ3lPcbTjNCecqhcM1 aH/mBwYptD8zrzcEvdd4a1iA5jPeaZT5jKLY9dnkUmFgI6M6tifJDTyemUT8 vDlnNoDLi6k9NWeE8v7X7PsLyntnBeU9WuWC92hlBHxxwny4pKGsLpx72H4/ ewj2FwYFEmjucS1rOaL/6EXYEpw+CGrXQvQlbgkjPQvs12KFcItnWkjPm4n3 WcuF5r/P0ibg/Qvec3W3xe4a/RWH0R09sQv3H5CfRvGf+25rInE/wQ4dWX8K 9xNwkYMZ+Yk88e9A6RP/DtQ/4t+BCibipykRP3mI+Fl9ioIfT+APEfgyRFy9 SsTV1URc/UPg+xL4owT+UmJuuXbB3LIn6GsvjEvvdjwJxOMM6D9mOwbjzJ6l iij+0An2RkL4+p56FH+kiffF34j3xX3E+2J5Av6dgPcQcLs37ihuX94ZuwKP z9h7l+soPh9dtisa5s3OXTxacB94n1Ex2gcuJ56O4jmXEgOM81jiFaPdED8s kZLHHxJ5XJXI41H/V9mZh2PVRf1foYhSCc1pkp4mIkU4VKSSoVAJydQkoqJo 0IDSJFODQqmkKCUNyE0hPVFCSiMqkaFBRSi/e62zDrf7ep/rfX9/ttrXds6+ z9lrnbXXZ31p/xSj/XM67Z+KNH4/jZ9P43NamuP5+wzvxukrdUdcjjLxXhm4 z+z8d0cif5/haeecxHoPEatNWO8xJMkG9hmeuoXNMPP8ZN7HM28PwD5z9uyQ 7carb/JiRjXrbPAq4Zl29y2FuuWdpKfmQXpqjaSn9sSf9Zs5s7v6zW317Pjj NL6GxkfQ87CWngcZeh5qaf7dNP4LjS+VZuMNA4o33CnemEjPyU56TgbRc2JH 46fReE8aL5Sn6sjLcX5Q7GRXP3j84iPdX1nveTfUPlWWbYznZe/bbTdpRA1j eJHBvNCsb1pNhgtv8owuq2BeyC1PfB5/PNN/fOhTGD9GZL8VjBfKB3bkx9Zv ZeMBR+L3lYjff0b5gUbKD+RTfmCQdM0TiJOlj5zCuvqUmnasq99P+j4epO+z n/R9Euj5EafnR4OenzYaP5bGH6PxzT1Y/ziL/GMt+ccUGm9N4w/R+H4/ci/B 8zb4mbYD+LWPz1i/pu25JBmeN4tFM9Cv3bB2RL+mGZEXCs/bqUU9/MGvTfq2 BP3aKTdWNyeMdHPukm5OC13PQrqeD3Q90aSzs57GP6DxW3xYv+wQyvrls+SX e9H824V0eQb5v4P3hZk4Ow/fF7lN7Pvil7bsKPhfxb9j8b14Gc++Fxkm7O84 QCivK2Tv+H1lRrreOnpyGiM7NvCy9QQb3ks584dQh2ZwJRzzNk1SsphXWfNl KOZtetgm+Ub+Xc2b4FHUXHP7GG/0S+819/nPQzk9J9ZCz0l7MFt/9Vqo/uoC jV8hNF5OqS/Wn1SM1T7/JUycuUf1J6We149XzlvC09+ioeb3biTvwuALr2Hd tpyuPAz1NqWTNmv+VdVm3NbXuoB98AV/HJ++RmkufzwTS+MXee33H+T8D/NN RSLAdkmT7p7JrT9g/oMRtvsfKc1m3EO2SXwNE+cN28f+XaMiNo/6WyiP2meI WVDFvCXMq/hVyjD/mwXs/LOfs+ObhMZ/K2V5GUMhXibAasdwf6MxzPNg5e4T 85fyvyfjQmCeIMm+qrU7CzOG+R3rcv4u6nggJetZN8bQJ6gGuIPGwSx3kDaT 5YzChDgjM7qv3OSrBfz7YuTovuRr9LWiHy9l+kUNr4I6pTQFFaxTKhh85tw5 ZhlzunSxgTijzby3PWeG12Pi1l7Om8gE7s2YY1rZpHtD/ft3mGfXoslG/Ovn Fe8cj9fvSNev5dbND867R7/pet6tQTz7WSGefaaQXhKXBx5F9vFCdimaJ12Y i9fbbtkvZKjmYCOPJEGe3Vg+49np3Qqp99VK/aQPlHTUPx8z/zlox6uoVN9L 8StXhoR1jL/28hzymYH2LZrAnXB2js+c6z9iB3A5nH3L7U0qUDf2yvRICHBL nH2zii2eU1c/Gob8Fmdv+623AuqfTOJbTIFj4+ztTsFYzyw8PtO/G9ZFhdvH uAnOr5KwNxTqSDh+lLPHbf4rAnUSqpIVswWvf8+Pnody10dpcfw0Z7/4ZwfW 2dZOEu1SZ2v5coZnefzR1MQDDp41Gp11ueWPwl2LlrbfKdn+vML6flrHeg6o k7wPXHGmYtv8HIE658lqBubAwU5yr1sAvE7HdRLXqkQ8E2ffUZW1FXjIcWuU kffi7BnODsbAB0qumYrcG1dn1YdnpfkheLiuL/F/XL2Z0qJKfeDNhMe/vlBr CPxVYlhYuOD8ztNOIo+0Vsuuy/W0Rq5sA96mOdTIVPD6tyqcXwp8yIVuN40F 77d0lIzphxdHtdqswiYFaHau277Yfltg3RSX5+rWiKZ1cPEpD1ILoJ7eVUVJ B+rrO9b5EsvbP76oFbXqQ12Hvu2lkEfIsTss1i8HXoez99YsjID6Zo5/4upq rqq5OAN/G9WfuQ58GFen5Ep87Ca7UmXg5zhO9oBsRTTwovMzFGSBI/yH+MG0 NzNMgJ+cktOIPOWlEJajtNequAe8nxqNV6DxOaNWHQL+zdNOXhHmH0fz/81j +bTbQtfzlQmWh3qgAfPlFAWv3/WXOfJIRotXvhC839OKX29BvcValR3aguvW f+khCeAfRJOMGb2PnetWv0se+xpIvg7GPhOc/V/qgzBOIf7HVwnvjt/L5CDb F2Bz23jsE8DZ01xN5YADX2IwdSTwZBy35dV9CnLXFU+ykLfj+Ovvb+LuA2+8 f8FH5BG3XWC54yk3Rf2BGxxQroP28R9YPlEpKXUMcHTvxDa7wTxZxOtdl0ox A05MWz1gqODf/bt6NnJNAecb7gpe58Why5EjGtBb+7Xg/Xq3v0ZupLVmyN5z sp33u0LL1gv6RCxTvYO8EWfn+m58C1PHPhycXSpFCvsjZNvoRwIHxtnbU/tO BH7e8KIncnUc1y916ijy519k3/gBj268neXQpS3tYuGcPlvUEvPKvkFmmE9e ZJyP+d/obzsxH7zhxCTMA1+9GZkP+aMRzk2YT/JZIY15pElRm2E8M6MhVBzG X1R4j+ew1d9HnoA8NbNjzV6Y//6PSzh/r4IV+B1+YoZiCnyXH7zFfo+X+mdI Awe4esXuwXD9LcTrHfvXHrmyhwvqYwXvN8ItCbkshZ+MuOC66X6sGwPcTsjn ZYv3rOtct0GSd7H/SMb3lOnAb3H23/psv49MNZtNwBtx9kUrt2M/CP+22xbA 1XG8W+DAmnLoX7BN0ssHOMVt1CdB9XMmcvuS4iqYJ4jodRPrLrzfXca6B8+V 3lgHkea5AOsfVvmN2AN1Bkl1I63hXFpKNhnPo51saoshv1bzowzzbX+OZHSD PNuzHzpL4dx6379XbWF8mUQmjo9Wa8K8/8aERFeY/+OJrZj/9xHvGQt5infR 27EeJFeMzVdckaq/Cpzk8vaUQ3D9WcRLDm2JQ67v4Da9JYL36yJuexs4tAHL tFUF161fmYcTclN5xnNFMjvr1qRercK+KoWn81cAD8fZXQwLsT9LStxv5Lc6 9uF8iTLox/G1wvoccIocbzhj+1+bAJlVvEUONmsx/pLZg3GXsaKULnx/Js47 6Affo9Jh6/E7dL7nu1Q4J5j55FgTfA/tbz2K5wWewyMMIU+9/UFv/P5Ouzg4 DL67lZ8Z3YNz4p26xVFwbryllT0vLjh/1hS+z4tSj2CeO7hOFHn8Es/+Q+H7 KkSlDc8lDrfcx++sfCYfz3HVFiw1gHPd7gY/8TzX3eT5djlRJ+ZdH5sU6J9x WXwx9s2IOy6+DbjKf+Qexwneb/AGSXHgACNOG08XXLe8+0ORc3tt8Uyu4LZV x7o9JX3k5vb2q4L6v+Uv2fX/+vOEI/CFnF2CdJY5To6zr6Xf5Xbxtnzg5Dg7 1z8lQkhnOYx+L8lK68fAiXLXv4P0l/f9h/7yZdJf7kf6y/NIf7kX6S8XkP7y B9JfXufYVX95B53juwqd4xeQ/nJyeVf95TzSX84i/eUFpL/sQPrLytr/s/6y OukvR5H+MsfHQl8ZQf1ljo9Vl7vyUHAdVpMuM/93iRb8XZzo993w68Qmwd9F lvSa2TpUt471T6DfvY/znKVqSzp/l9cS7D6mldndC/sSkb2N9jGRlfeKGqGP EdmjRu/HfSyocoo28Lvce938wR/7vKhpa54EftqK+rG4SrP7Q67amnCw+9D+ cCHXD/cHs6sHNAXnUab9IURpv7vg9QxlBlrj/nBlyyq1Jx87ruegjA36u7/T k7BPEmcPJ39n+vn+LOAvObvdwzXo73bUuV4Bzpizm9WLTgB/5xvnNA0473fk L8akuSUCJ78x9oQicPNbN7G8/BTyL9XueZNgfBE3vsYA/cuNiKPbBOe/d/8y +hcnF41JgtdpsSOgFTjVyNuvM+4t7rxOyZQgjHNCN2Uhj8vZuX5b4maqnxok vDvWQZ3iHLu0j8hJc3axYjOMcxzfFCKnzsUbimJsnLM3Wm8icP+ZFJ8c3lgd CPHMWcdMC+iLsKeY7YeQEcP2BThowfYJ4PoDTDmfjPEMk/Zkl+D8ZR5sPPNx tluX65msMbUc4pmITUqbBe/rWb+d8yGeWZI63DC0R+d9DVE9WARxdaHhqCzs U8U959Vsn7JZRhab1lXXdejeHqe4WtvpTBBw4Zy9eQbbz+j2Qjnk8rm41IHi 6pjpzGboc8DFsaXScRhXK9/RCIQ+EBso7r1mxcbVgzPad0OfDB83Nk5etb86 9WKkFlPuH3Uevr8HD55lBd/R9f5sXD2Dxq+m8Rqj4g5AXG1028oD5q+g/hLF FFffmL7TR/B6XjCKGFenL8yJFbx+ZeL8pwrdr7H9+CyIq0/qJ98TXLeyhJqp ExRl0tzTFzJJHzvXrX3rUJv8+uBUPQ3T7ryM4x3rPyWf/U5MqxZTsLvf+b1T Vct+J5buc/2SLVB/vncE+5044Bzb54CzvxX9wcB34p570dg3grPPSH7sA9+J F9UvYF8Nzn6JvhOtdd5g3xHuu+93hhX2hTlkzvZf4b4TPW+zfUmWUJ8Sbrx9 HvudWG0kpiU4v0+kHn4nNpiHdLmevRfZ70TFWVeuCl5/qGcj9lnw9REtErxf xbFlxxeKH9VqkBg+5FL3Tk4hjjjtUdRHjbNnU35jXmWvLrzDQWVNzGPcynuV syIkrMPeorfcAfIYJsVP9kF/CM5+69TG+ZDHcFaa/BD6bXB2Z8pjLHBn+5Fw 9jWUx9iTe3v6X4F6+y+Ux/BIWu4KfWs4+w/KY+wZotFl/MC658j/VIzdsE1w fknqb5JxJaLL9WjIZIpCHmPNKt/dgtd/SkpXCvpZVDoeWqeQGdpxv8Oob8Bb ob4BP5RksV9A8f6lWN/H2fv0Z/M/Vz51zf9cGcnmf/pGeHdrEMz/EAdrWbjR 2Fwg37JjzkZct4uSy3oCD8rZy7+sxnUzvDcNuUnOHuTJ4Lq5Ss9EvpCz97rQ agfr03Q3IgB4OM6eKWewDdbHoeheBXBjnP3xpoPt/OtMvyf7uQY4Ks6e/0D8 XO/1UVrnRFI1HOdWd6yDX0MA5nnOlTf6CuZ5tm7nYX5M1fPMMZegko7n7VPh qK3AUScU9kCumrOPJe6X44A5u9rSAd+Ad428FI/8K2dPKJn4ArhQZcki5ES5 92vXgMGlwE82EE/JvY9fejkg//ZyyQjk4Tqe58FeS4EHa5mzsQfwYZx9zs0U OeCjlHmXvYCX4uwO2/sf9F9+Uku+MSdVtzm6M99lGzwN+H2xIMnRgvx+9abf d4BbPrCwm8Q0gbxEXcAnZ+B1a1+sSwF+V4+43Yex61qXW4xk8naN9gbONS2E 5QEN3oQbGY0xZ+ykW8ry/lnPm2k/G/Mkv946zwRubU33AOTYuH3434VqqcBx DV0gMRW4ro77XX7SADilnBOTAoFb4uyyNzzHS/aVSTu1QfdYau+gjut3CsvJ Lhq0m1dTmtemcT2cN2zqtAXA6yl7srq3TvvYfu+GpHtbmXcLOTG9Y0+RG+Ou x/NWQzZwUKYf7/QBLoqbP6UsaihwOyPeKKwFjoez9ye+uEiIL3bKv+cB3JR9 5QbkqLjx8c0lo4HzeWP+rj9wP5zdh/jcPCE+18qc5X/SF806DjwQZw8hvlVe iG9ND52F/QvEtfQkoJ8Bx2ExTlPyJuUv5Zku0xkDeWv/kguYr34wOBnPHSMW KF2DeocSA3c8f0x6JInc9QvT4t5Qf/EhxR7rxNbccHOGeq+rKubmUJd3fogp cspv161JgfotDVPfX8D7nnkzg+V814d2h3rNhE/tWTdCtzATg+WxbjP083vk M4P3FByAesnw48+x/uf4TBWlf4bvYVKctCySLtgwP2cMW3eGf51Lfs7F84Cj 7qLLgM/jzgVOBrH82IaQgPnAk3Ec2YwvTB/gnZQbhscA/8StjwlxteuEuFpe tulv6DsgrXFsI/QhWEQ84I60PZuB64id/Ajrr6MlWe7+OukaOJOuQTHpGnCc Nsdtc7x2IellOJNeRgzpZfiRrqIT6SreJF3FwOhlu6HuwVrmiRLUNTTcYusf DLUkQoA/NNu5PRV4ROtklkN8RbzcqI0sP8dxc7otH54C32WjIOoLvBd3v3cG a2K/gAj/d23QP2Al9Q3o1jNm/2+DYKZHm1LInXG+TPi/i/oBB5qYcrYN+Mb8 re3IO24kznH9rGpp4PEGPRDVBD6Pm781ZVv7dYuf6S7rVZEn4+zupO+gTPoO jaTvoEA6DmlCOg4+e4yRn3yZ97AJeEqOo7QbGom8n9n18Sz/R/O/H2FdCXya ztT8rcCrcXbJDcPHAQ+/akGPccDH9yIu/ufrT8MhDlyS3qb3TSAO7GspUwRx 4JHLKk8E48DukZO9gD+3mj8deXRuP5992iX3x8dgrfW9M+uLWzrjwKteX5Fn a783B/m22B0s13ZjSEwDcF+mXtZawJ+l7jFB7kwhRGoJ1OVMvC+LnFauapUK 1OdMaduDvNaH+YnIpRmITUdua6eNxBdDnzzG/ptpgfPJZ7zig7d6OO2oZ+6v XB8KnNXQMOtW4K7KJFjeak4Wy8EFMV05OE5n8zTpbG4jnU2OZwsX0tnk+DSO M+PqJ11I1+kj6To1kK6TAelBTCY9CGfSg+D4NG4ejlPzI/27cCH9uyLi6Rji 6S4TT8fp4vmSLp4i6eL13ZvXzF8f3tRlLXf568NU1IhJwvqo2o1cCuvZqFaO 9VC+2W+xDio8zrc/8GOO5948BZ7MPo3lyLhzNFOhczQufrjr0TV+sCO99b6k t25Afqcb+aOH+7raJTIeWUKd1qCbFchReY1+/BTqiLaRDvsFC/Yc+y/psP/j cwD4HF5STw/kdcz7RSCnUyp7oidwSg6B3b4A35P+NBm5nv2kz573ntVnf0b6 7Gc/bkH+p6esLI4v/hKM4xvF/IGDYkYcGonzi2hew/mnyDhgXfXd1fnDoK75 rWY6cmfi7sm3oK46cPhFD6ibrg/+dBDqpZdmx6oDp2Tg3478kHzCI+SkZNVj GOA3PGcvjQD7FYODaF9inIT1WzGr1LD+q/4iW8elXiCyGbgvzccBZ4Djcf9k hbyY+72PLM9zYz5wPMwNhz/I7/xY/z/zU69qntsCR2f3xt0NuDr7LJane+V2 GOuwH27PL4O6aZ2XQ7Ae+9HpTOTNchsVo4ETWrb2M/7dsNCXWZC3LIwTxX6Z 8Rp+2CezaK0yclw91UYaA7f0tfEl8ko+dbkjgF9atTIK7dsn7Ef7NpsZa+H6 rzR+RA5p+9YEvP63Oq/x952+OAfrcI8ERb6F9X9yR9Yd8s/p6TGy0LdyQZ04 9qvcG6gmCb+j5ZvEn1D/ItXHCeteau81Yz9Hk9tvsL9jX8t07Ov4zuzWU6hr 37fIBOvi5acqBsLvtfPJJ1Oow9s58EkQ+LvWbSxnJJL9BevXT+zvrQD19Y+8 ZyCXtL1heCKcUwTeOPwH+mX23T4Y+6C6kr72GiF97Yukr60ytKu+9rfPeqfg nELrqo0L9JssKKnEPpPSpK99hPS1X5K+9jR6Hye77q/pc6DzvTMlHqo8qysP xY0/KzQ+Zf9R5KC6pf59EyLwfXSE3rvttl3fuyFMbD/glGSPJSCfFHo1BTmj F/R+vSvt+n7JTDkJ45lJ57Jw/NfoizheK2bcYHhObhxbPws4uQemWsgJrim4 rQjPScU1C7RXlf5Fbi7ezw+5svbna/OBG0j2PIP1/Mmko90upKOtSzra/Ud3 1dH2vxPM5smVVwL/xFjeFGuDPHnT+X2a8J7K+ldvAr7KMHxvJbyPvrxcI3hP B9ue9gK71Y1K5K2k9BXwXKPW4yj2y4x2nI/nGr4Zs5Hjcjl6fTLwWFu8dzfC /U6MyJWBdWjVS0VOa3e/AbgOdqri5lA3OV1qInJayb0jsE514j7dE8Dz9AqZ VwW80V3R6X2B69EnferTpE99h/SpoymOOkdx1A2Ko2T9ptUAl+WddBw5rXET JiOfpT9mK9b3dN8thRzVs9a7yE+5kg61H+lQLyIdal3yj/HkH73JP3KcFcdd cbyVPPlHjmfieCiOaxK2fxc7tBY4K5kTN1tTQrfwUpjLyFsFHDFBrun8wyXV wDlZTniJfFO3srB1MP5ZxrrEm/y4WkXuIo7/3MjqR58h/eh5pB8tQbrSmWSf RfbtW1id6PEyrE70fNKJ5m1l7RFkNyK7LOlHB5N+dDbpR3cj+zayF5Cd46M4 XorjpNTHnsbvBS+fmpfAf6jZ70Luw/7inTvAdSzaVKcN/IfZzDXIfbSJs9yT CnFPr4h7clR+5AlcR+F8C+Q8rjxRQ44pZtIk5FL6fa1HTiXungHyKXdkapCn OpwRCXwVo/HIH/kU/TDdNcBBDXmuVAzzWGbHIycyofIk8h4b/NcZwzx5E12Q +yhqbdsPvMeso87AITFVubbIfShp2I2COnWT+PMNwEOI3fqD9epX7C8g/9AS rKgHPETmsxFYr16aqI78Q7T5UehbwzM1/YLfQRyHdV+Iw3pF7/tfofc9npG9 DeuW19fDCviYmFm9kItxoX2gn9A+MJxx9oB1M2HkkRubdngr8laSHlnIu75O v+cOflzskj1yT9u9t2nD/m9YMGAM+H2TfUnIMU3YIYnnqsVBOz3Bv6StmoHn qpq9+phBnJDUXR79RcVlceSwFvqsuwZxwtGE1H3gd0bEbkAOa4OTCPYTD3k8 wwn2/+idibj/HzFbj/XZl76qYz21yvITWEfNcVMcR8XxUxd6sXFjuQcbNzpT 3FhP8WEgxYdDKD5cZa2B+2pQmVQp+P3DJtNwX12X4Al+jTk16gD6takB8ujX 4kzVJKBuu/HE7vdQx237KxbrtzmuqUIoHub4okoh+326znEU3zrRdRpd64b8 VVFEjinwDRKzavE5UTV/dwvOVSV0J/dL33iH8VFahueql+l5PsI+zzwtep7t Z0k7w/Msykt+Cb+vc2Aq/r4vX5jg8zwiIBa5Ot2+HsjTjb72Kgie5wmVXqdg HnM1X3yeHQeE6gG/p7Dz3RTg+QJ1TJDjSzBalgv8nug4W0t43tYdrEKOj+Po OK6O4+laB6/uDZzMyRO3pkFdNlPF8jLOGTL6MP/xZ+HywBeO3OaLXKHJyR55 MP9Q2gcmW2vgPvDshx/yURbddYCXYhb4FyInxXFM64Q4pv6XZUfC+xj//WA7 /31k1F/vxfexYOpb5EaW5pSbwDoPnclDLkmPOCMZg6710noUD7is7RoP5O// n+urDYLtv0Gdsb5YLtYpHzbZgvXJE+j7qEro+8g+RzYK6t1vS59ogLr4yW29 sB6+sWc81qNbTbFTgXUb1usNrtuKI2wdeaJD/0So8zWyZutjne7F4/o8Ua/a C/vJm3GJuD6LiXs6TNzTdeKeguQKMP9z13ws5H94G1LZfoN/JKyxvnb+NI8I qAu2NXuDdbZTt+9CblBFam2fcv7+JvmpF+aFZr5Owed2tfgUc9jfbG/Z4XN7 nnRplwn1med0aScK6dIm0zm19gj2nFqKzqkPkp2h82s5sv8XJyVL59pmdK5d SufaxvR3h9PffUt/l+PEjIT0alfQPG+c2Xke0jw/6Xz8PZ2PV9H5OFfvztW/ c3XvhhtGXYJ6krPXbHpBH/0txnISUE9y84hDJPzu/cyuSgD3cN3wIfIOnP7s 34Ku+rNv6Zx9QgV7zp5H5+zTaXwljfek8Z7DnvSF50dpTskM4BuOTj+AXMMM Gv+VxnvQeE5/VkdIfzaEzvF7+rDn+BZ0jq9E4yfTeG8av5XO91PpfD+Szvdb SBegj1C97iIaf3cmO/48jU9QZsenR3UdX0D5tBWUTztP+bSyPh7RUB9VvX/g EdAlGNPMoB7BExrvSOPP0vjpFE8epngyneLJOOUYCfiO9pm7EnmC5E/PNeF7 KmvB75fwXjsr/jICnuDAvweQI3AindmNQtxZj9p1LthHw/63AnzHpe5ZiBxl y3uWRxtBPJon8WjFpCc7VUhPdrlCa8TPAxt4Lu29Kh97ODG8YUuXV/PnP066 bLOFdNliKD9pTvnJ15SfLIlmdVcTSHe1inRXD1NebpxQXk5phSLyaXdHfv0F vFqGaS5yRvKUr7srlK/bdl9qCeQxyhZVI38Wd8MY4/l7nqzuakVMV93VSLLP FdJjlRG/hjyVVa/DmA+J8FyMXNWNcWrApzGSp85iPFC+yxXjgTVbWD3WnaTH +or0WGd5sfarQvZSX7WpwE01i1hNBY6q16NsvC/p2goH4KZOP9WPAo5qm4gM 8lMb/1zBvETQHB8NyMe2XWPzEnU22VhvFpmpj99BW00fYr3Z7qeayJu9uvYF +bMi4s7s2g2zQD/mxD5tZ9CTqV3N1t39XcPmx1QoP+ZC+bHK1Q3zoG6qpXnC GdCvyNEtwDoo8XWPe4E/jX6TowPv9bPkOJZXmmeMdVP1v0ainonGSCnkm3ap tcYDz9m4NQf5qsJjKbjP7CbdzyvEJXA8wqwfpXEik72Za68KkU+dq3ccudQU XvYlmCcoNx391GKlBuRJw4hrqvzVDNwJ47ee9UfBJWPQj7j9vRsO3Ibqd9aP jBDvj/Vj1W4DgWdi2i56Yf3Y8o+9B0F9V0C5w0vQqRiu8hDru7wL9jsBx9Ls 8tAO5i/SWYfzn1MchhyLuPdy4FqYqJ9OyLMk9H24FziWe2cyD8LfbUhehjxL O30fXaPvIAP6DrIhHUx90sF8RTqYG8muRfa3ZN9Mdl2yvyb7bdLBvC2kg+m7 Z9w24F0j3HjIv6b65yD3OvMAq1+ZdbCrfmUO5RMkHnfNJzzuvg/XQcTpVxb4 /eRrq3AdYgeb4jrMe9ieAn7c124FrsN52Txch5m39GLBj59uscR1GKTdS3rp BBsmO/m95qmT03jMIZZ/eUY6lcGkU5lNOpU6gzWzgUedfSQ0DPhU72oHzCdb JSpvBh418Li6FfCpvwre4PtyfJOcNeSxc/8kYD+wwlGHML+qHC/VE+L58OHr kYO8KOuB8XNZ1YLfwNWIRn70Bs4mPJfla454s/ub9OKu+1s4nbN4UJy5jeLM CtKd1CXdyQDSnVy3j+VxjOq78jjpx1j7FSFOx8x99O5C/a08Qwvf0e26//CY FWvkX8B50xKV3u/VPZhJEraBd5Mn8Ayv13rWwzwx2/yrZbJ56bF9Pjf3iGFK oyXfX434wkj0Hqh7cnd7RlK65HTgWvbQuVW/lnt+/wzfwxtrrr486YINL/TZ IDzn6r2635MZRauZnT+UDv8y9+ElNHjIgn5o1Bu2DpDjS7j6t6XS7Pzm6ZL6 cC7Gzb8kSdIW6jafT/v1CfQ6tKhus5bqA3cJ1Qe6LKf4VShO4zgW/t8VEfy7 HomJn4HDKWlc8v0ef34F4nFu2jmdm1W0mnf4tr47//r5fmYtXv+vqgUTgMOx LHHhAZcjF8DyOE0qEmttlzRlBK84jXwSxyWtp/xh90Fd84dK0XEqwEF1O/sV OaR04o9kTNm6wUlCdYP/xQc50PyFil3njyQ/7nmhqx//0NcIzx+/fek9Hn5H 7vwxgfQuZwvpXe6lOsYhQtfzXUXCG/grP5OELvc7rvLACuCv3q13xfWRpfUJ 3psxxrSyKcO/8S5ySBx/FEd51BFCedSPgcfmAZfV3XnIEVifuvns+rhGD2Ii z5Xp5iW8wnmM5ss2Ijf0T/uVm9eOplqa3/3UOKCT15DbWFYJ/ZH7Pj6E/ZK5 c67N1A9fUagf/pSLTu+g3mzFJZX5gjxCWIJ6LPT3d7x4KqJOgF+YXL/530UW I3l2PUx8H+hb8GZe/GUP9QMxe98ugr7GD0a+40Gf4yzqb9w71KsJ9BXmkd4C Nw+nE2BMugGcfdW1nVHQ114/wD8c+9zTuWEz6b8fFoo37EnPPVUoTnBpq6wH /QabmGzUc+Dm39w4F3UI5PZnLgNdAs5+o0ZuHPTNN58r7QV99G/TOWm7yd7L vw2CebPabOvvjPPlXTdYiOeqU3L/og7E4rmF7dITRnfMo8VMRz2DFU1uoqBv wJ3ntj0ueQL990em+c7XTJVizOPZ898GxYYn0MfWQWQA9rXl0fl1YUUR6kls 7l1xVfAc/DHpIuR9XzcNdBK4c/P5tjuwf+uonGpX6OfK1Q9soz7bN4X6bG8t +ov1zMZtZ7rXCtQzK5l8wbrox5e7JQnW33J9YCcI1fG6/Ee9Lk9rbCDoWKxU OYu6Fpx9NMXtOyhuz6K4/e/vk6hvIVGcHQx6Fx3nsCLnUKehqmIz6jZw9m8p X+NA94Lp8Y8O6GBw9tx9A6eBfoNVsmU06Dlw9kXNxR6gN5D89pzOEYE+wxfo fQwY0vV9lKLzi6NC5xeTqgcEFQ3azRjWbnqscT2c0VJksF5lfcz3cTGSMjMH bZSxORK+r+P8YmhNth3oRpSGe0jZH+48j94wrO8P0Dl4ULpSG3QPOHsfiX7Y 339u5KFJpgL9om2oH/JDoX7Is+Vch0Nfb/kmqU/W+hZM81O2nmeq/5Jg6HNt VFr7x35DX54D1XOeGDamCfo+j7fQL5wuUG+5c9v9oVZWIpolckuuCfbFVapS LXuUcSLVuXLiMO/tUR12r7GhtqDHYJ1y9TvoM3D21VMGXgIdgguB8ahLwNm/ ewQPgH798x95Yv9+zv766oc1koeH61bMZ/uvc/VUY6kveST1Kef2saG5WhnQ p3uIVwD27ebmabNRmgp9q2c/8cU+1py9dJf2GOjLHGb7MBP6NHP2drP0x0+P DtXsFt76Q7Au8e+CQ/I5L6NSL6uODd+iU92xr/5lauyhvs5r1Q9V0FXg7P49 1NWgvi7i+ZJJoD/A2a+9cMP6upV92D79nN3jEFt/2DjlVGOuQP2h3ZhTWH8o ZmCyGPqvc/bhW0qx/vB3j+nfoB85Z+85/jrWH9oGfT5mIlB/ON+Kh/WHc/KD jL4I1B/2z9fB+kO5M13rD8/SuUkmnZuY0LmJ1G02niykeDKT4kndAqfkmcpP eI+e/ti8aGUW8/fsrsPL0xqY59RXtoL6yqZRX9lQ6hM7ifrEtlCfWIm/bL/W Y0L9Wv9I2nlB3c6dN/8+hv4i3rZsX1YppxUjoA/j+9PeZxROrOAZPWT7MV46 UzIZ+vQtq7GIB/7798M5yH1bUZ+7fmzfO+Y+9bv7o9kiDXVN4/LuGUFfuuwz vbGuieuLZ0l98rj+eIWUL7rgwOaL6ihfdJvyOfXv2HxOAeVzbKmflSP1s6qi fla9u7P9oL5SP6gF1A/qA/Vlkg5j+zL1pr5MVpTvGkH5rueU7+L6d3D9PLg+ Hm8pzxNGvIYh5XlUKc+jQnkeD8rzSC5pxz4vaiaeZtD35Wcd2++leC1bvxRy vhDP8TUvsPVLi+l701Xoe1OKvoN2CH0HDVStewB1a3LNSt/3Go1hrlHdmjvF sbuF4tghOrI1E/KXMsHzFQygzk1fleWyD2uz9oCzf/KBO69VYe25FL9ZCcVv 6T6my0EHKuoEM0g8uVMHqvrSTj2IbwzP3O6i+8zMiIlOdDqanqhZNn1QcKcO 1NiKbvuOBc3V6T55c5PHpE4dqLc2DtHLxa10Bih66asXd+pZu6d3P/mlwEZn 78sVBhGBBzrsP6je2EiIm77+9vgJL97Su/IRDu+93C077G4Ha1/U2DN3vb4O /rSgb13H341UGD9RTzJIu0fitKjLC7Z3XGfF/Rgp8H+5qcpf9EZ16kB9PCFm NrY2XCvq8vPEk3cOdazDT+qTvEPovUtW3/Gnlh/nNd1weCCo63RFbO0UW358 VjsscUZfvU5dJzWJfplxSfU6F3Tv1IZe69R1ur0nTCd4y6wMl7WRmupbrDs4 uJkyCkvXHV6S8X6G48yMlVsyysj+nDjoTUIctGH894S8A0V3M/XH7BGL7Kz3 yxj0b8/2DXt1fg1/ZjzGMKDDXvi9YFVyU2567FKbQY3K1Z26P+ZiP9/MPjtT XbFM9e3ssx1+SvvkJ2bH40NaP2JsXl8vD+9Yh2UjdntHO8ZmLJ7wKX3RgHjd hRR/BjRaLiw5pcKk7Q/9LlknyjgOs8X48Nb0ugG/B6oz6z3uilt90+F9WHb7 Cti1jURiW8+pM5FfpiYMfbec150Jeg3f6UnEI48V4pGtv1U8sh+/W3dDyAqF wyZBut1oHbLO14kP+6me4RjmGjP0p3qHv/Or9fD+rlyt3fr9TFpiU27Hc3J9 zucVs0a1pZX/CF0uWO/a4pPpp7zfl/dy9diF+nbBvFeawZez+XGs7+WnVsEm QRmtDjZrV47fncH93XPn1FtHGwboJE2ZrM1f7451Vt2j33JhwXbtiENMHv95 7FjnFfvYelrjoK71tHqZ4j35v5+OwvhzebkHijr8WmJ+37fWfevSr9j9Pcd/ 3jvjRqqnbVTsWk/7e3nz+M3uljpVljwn/nvzv+rFSP7xcVPnf/+Mkzkqv0JA 36Rs7gadUdfNeDFye6VskwfzjIq9qiBe4s6hXIXOoXRWmP1RvG7G2Kx5qgHj Rf6w4wfu8/x2d+UWXY1ux86sVF2qyz3PAVqq6WGBB3RE/FtGL3hl3HGd/6UL I//1+McC/vfSpzFT00T58drM83UYp20K7Tbj0S8PhjmtGJLt6MtUXTb4Bt81 jr8PqRZrFvEOZg+KKvmdy0j0O+n7YWQDU0z+9zP531Tyv5fv7O75+JcHr2yj mj/Ms3kfg/NsjpiQvvibDjPRc2Rv/vPLC3Rgn9vbX459VNtirTs7cogS/z3u 4NQSlkalTy121tFbvvsJf//ruP6PK/7O/GOwhbmRJPfAQ0SNiXw0RR7282Pk 99WE/P5emwHaAXbBTNmTF8eO7/dlDE10zsBzGFOVUCRdJ8r7pR2yiv+e8WTo /eqjV3+Yv7/oXprNC7uU1MmXrRrnLr190s/04+rdrx0T4Ms2Grv8shgQn9Fg sOBllGNsx/s7ZO6XKhm9CJ3BrY9abATqTk+ppCvKB+/R7vbBVIPvBzrel37l A4+Kgu610b25hW59eTvod+mx03021J3GzHt75atA3elBm0eooxAu8yZXsO7U ys+oQu2CTcaL2b2mqf8fuB6ViugpoCs5UcpdjPe3sx614T+4lYjup4IfJR5N 3d0gk9gwtjMPcKrStj889weH2ON78L/lAfb1jyoGv5guulNfMA8QaZKO/uC2 xg4xwTzA6ZY+26T43x3ft/o1HNO34OlZ/sU8wPCfL9LhOU5wPF0Oz7UGrZt6 gJsG+NeX16LR33LzVCixfqXi+Rr0M5z9YYwa7r+7b27YAvsx9zu2TLr8A/zx obn70D9z49eqB6EfGiyhfwP8EmdftCuhGfbrkEjvxbB/W9JzNe/aDDv+c8hT /dD/B/855D2/Ph2fQ5P/yB8aLT6N/n7zr3VR4P+5+Zst09DPjTGL0QS/x70v sbO8QsAfzBo7ubaZ7x90l7LvV21M6HR4r9uzFj7lv4+8IyVz8H38Ml69bfe0 p4y7zAcV0fgcXoDLzYHBSxqYAsqvNp3sml8NKRo2G57LKwrdj8BzGkDrbBF3 EOOPqfufHIF4pON9id6Kfjes73ML8MPcfjXQdzbuh+bVX/NskgczNrQfLj7M ngt8o3PqeXROzdW3ZAvVt6RTfrvRsWt+ewDtn8oWYvX8/ZN52cbObyChh+/D Z5Ep79T+D7pgM0k//YeQfvoZihtKhfTTf+ew+ukqQvrp/3Xu/F/5xv9f3fPm jTGVEM+ZbCk6CfEdZy/8ul7amB/PtX2IKoP4ruO9cx2/F+IboxuORRDvcHY3 2SqM81w+LJoAcR9ndygashDinvTMaoyDOPuInAvyEDe8HlOPcQTnx58FXR3H 9/uMvPXof/h+n0moCke///Do4gaIF+c2DFQRzJ98ubZOHuKnE8+X20E81fGe tvTH+GOrpybGI5w96dYwN4gbbngbLoY4gvu7It/vY75C5EjXfEX5dYdp4G/M qz9PAv+j4cS+F85mjS6w768LXH8D/EB/ek9nu+i+gn38ZNKwJtjXuX0gYZWX frvGwdTjI7a7nT7XyQ/u1C8eCXHe8PKAGxD3cfbX4VfSIU7KuxSHcRNnj/Ir mQnxzeeZMRjvdOwbp7wfQbxi0fCzB8QvnD26NSIW/P3eQNb/c++Rn7oO+kvP jzHoP7l94PR9j8Pgt1ZKLDsCfqxj/7xQg34osPe8T+CXOPvFBRk3wa8M2DnF QFD/aEv66FM7ekWkamu2WZrGHerk4z7/tIQ4zzLPwR7ivo73YurlhxCfXdr4 DeM1zj7gyrFYiLfciyQw/uLs1Zc+roK46vEHP4yzOPvyOvvJEMfExASmYlxD dpGmA88gDmiYui8N4gLOnv9gH/pjhSIdGfDPnP2P7y918K+DFEtGgL/l7Oqr La6Bv0woKOyiK73gcUj55oTjWrMclcVvfuvUIWqtF/1qlJjDG7LuRkW9+lNe ScqwdZv4+6TqlB81fDvzunxwAd/OPIozcQP7yvePpF47+fLSgpJfzG7yYPaW bK2D/bap2//8PW5L/etGzGL718lT/7prw8ze3gx5zKg9N5vsdSeVWfPp2cuH HxoY47lRPqJ+qbwSr8dVY889Zq5O3eLpy7c3UJ15FtWZX6I684lPpIL58/Dm /pnG8Ofhnb3l+Q7meUL9bIcI9bO94vDp31dOvozq+LIzhk0evNEem/D6Xahe ulmoXjqRdBz0/mV1HBpIx8E2X3wvXOd12Z3R/Ovk/Yq87wXX+b5kD/odj5yc sXy/w1wa+M8g8DvFXq799kx7yvN6Yz0F/NH7qzlyYH8wQNSfPw/ju2fER7jf j4w73u9UD+kQuK+3Ad6GsD7TPmnifb0QC8B1s7oVpQz3O39uFa7b1RJZXBfJ XmPq4Tqlpm/H9Tn19PfN2KpcppuV/J3X44t4mepK9RpjG5hW4keWEz9yhviR cypKWfzxvG4zN8XzxzONzuJfYPxLyqv8oH7XcpRXMaf8jB3lZz5TfmYn9TNx p34mW6mfiQnVX52g+qubVH81kPr5z6G61iKqa+VRv+hM6hctRv2iuf7PdzW7 9n8+5s7WF8VSfdFWqi9qjFspBf8uGfJbvpD//64jbXqC/X3yycNQHxO6/MW/ MH/2Ui+skzlH9TNfqX5mBNXPBFNfZQeh+pZu1Fe5D9Wx7KA6lvyebN/gQuob /I76Bo/U76PhKaLGey7FxPDjfZ7jyckY5w9L//MAns/d1e1l8H79e8cHn8+p 0sdE+OOZPZMs58L3weWL7HdB8vKu/XnaqD+PRCvbZ/XCqa59Vn2pb9I46pu0 mfomBdI4pSa2bmEX1S2IUf9MCaH+mb2JnzIV4qdabdj+kCOE+kOaUt1CjVDd gleNaw+IY5yr42RH8uMaxRY2njlKfQgXUx/CD9SHcKJygQ58N/o8v4jj5Wj8 cOqfECvUP+H/ASHqE3k= "]], {}}, { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic, Automatic}, FaceGrids -> None, DisplayFunction -> Identity, Axes -> True, AxesLabel -> {None, None, None}, AxesOrigin -> {Automatic, Automatic, Automatic}, BoxRatios -> {1, 1, 0.4}, DisplayFunction :> Identity, FaceGridsStyle -> Automatic, Lighting -> "Neutral", Method -> {"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotLabel -> FormBox["\"t=0\"", TraditionalForm], PlotRange -> {All, All, All}, PlotRangePadding -> {Automatic, Automatic, Automatic}, Ticks -> {Automatic, Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{ FormBox[ StyleBox[ StyleBox[ PaneBox[ GraphicsBox[{ RasterBox[CompressedData[" 1:eJwVV3c8Fe7/FYlUQrJTUgiNL0lDTmRFy2rok6w0pRQNyiwkJJWUkSJRoVIp I1zjyrj3Gte6uHu4t5QySvG7vz+e1+t5vf84r+e9zjmPjk+gy1EpCQmJJvGZ JT7/f//hUGGRaTSIDcXDL1V6ysGaSXq+d4COyZHKF3yPAfis+0v+LV0Byts5 0nUbGJBI+6yx/iYNia8XjNFMK1B97Jq3+W0GZCxr4sM/9uOjyVL1au8KFGmO VxYKGJDn1E5+4feB/Xbd1qfJFcggBWhob2dC5VbdMRW1PiiYWXvfqKxAQjQn JCWDCW3TBqq3fS8s3rtePyGswGXzwx2zx5lY0ddo+yqkB8fMjxbsVK/EcWHn 2kt7WDCObCqdzOtGallI61r7SuzL3nlL+JyF9QbNujZdVFRtivuhFFwJG9c6 vqckG1tILXeSZ1Mx/Cl98fiTSpjKWNi2H2LDOqRtVr9pF1QsXmzqJVdCp/xt ju07NhyXkM/q+XbCqrLicMV0JRYGGk2XyXPQ4fvRW4HYAdJbc3OOxGeMuqz+ 4HuEg4n2SpmblzvwMngoaVF6NYZcVV5EP+VA07r2lZRRBwIVdaNKX9egxW0m 6ymPA7xucL1Ka4fpK/9g9y+1+OjOv0Mw4sJ3WfPv8cR2jDsUHh9nEvBsH+UG K5CL2GRS9lm04xP766G0qTqk7v90RaqUixfTHbbD3ym4FvG/PRuVGxBx4OkZ 3UkuSAE9Qt8nFFhpBVv3Gjci4OAtn+0WPPyi0VIGXCmYXVZmdsWWCA+P4H2+ ETyo7WSY75emgOj610DTswn2hzwdo+t4sCjnDJDfk3FrBFoVIV+w/j97y6ey fHgZDkc7Hidjd0L0wsPJzdA5vM6EsJOPmPRvq+rUyVik3yg5nd8CeU91PdZt Plws+ZUts8mYKO6Rrv/binPjLVcXvOfD12Nkr9MkCZL7qrae9CShJbbP6kEn H7ob5fX+cUmQnqZ8kvEiw0CdL637kw/24tVTRV0kyFHq9vUpUBBdONb0SlGA 3J9OZK86EuRzP4y+rKFgcItU0sZ1AvhRTuYpvSVB6WJhUnhQOza1KrgQdguw ojj+Sl0OCSqOmYYuuh2456mtsjtAAPat53tCbpOgueR2w4rODnwfMerrSRDj n2xcYRBOwtLvUT4TMZ1wityU5Vsoxnfg/u4NIGEFIXi6yawLz5Tsfb4Rxfh6 0qSE/0gwuH/8YQa3C7Ny3fQu8wTgSK3I3epEgvGJQxsC06g4bOYzLDVnGMlr +S1x4vjZma135G27ca8hRc5Bcxi37A39BDEkXPjhlrWT3w3NrbKkYKVhxB85 PbWjioTLrFOFNxN6kPP2WurTucO4cbHoTuEECVe7ot4T1/RCz3BsP0ViGDX2 k3evq5ER2ZheO6e9Fy8fn9KamRCg2jWdbmZGxo2PJW02wX0wUWXSjUcEqDqy 2ZjrTMbNF419UWr9KEs8kOfBFaDyVP/F+2fISMoc5FaX98NyNulE3IAA5RfD CHYJZKQmj41Oe9JAuGK75n2nAJ+ilyycyCcjLXL+jIXkAHb8KB9lNQtQllzl kV9HxqPzuvNC8wZAOmbyQZEgwPtHR57tZ5CRc3Sz6keHQbgPPg/FJwHe5UuM ykyTkbffWXdCOIg+t6XbAl4LkCwVNVm0ioLNVSO7Bi4Nwe703uaOVAG4MnP0 Qw+L57n5+KyHv4cgIj8dGz4pgMX8m+72KRS8EJ31MNpKxx2ziaWS1gKkKsjH LKqn4Pz51aXxV+kwf+joqK4uwLDynTdDkxRs+iNYwK+kY2A688K673xsU1dh vDBuh0Tks2N203RE+/7Ism/kI23Jw4WXvNrRKONbk2vJgAHRpskzi4+vOtqW NnfbkZS0VFMqnIE24wc/g4P52K735LQCsR3ui2kXvD8zcCFFuCRRvEcPDfUe 0abaoZXxoO3zDAMa45YOubp8fF9T2PR8bQdYy90NtLcxUe1xJ6j8Dw/2pmsm L/h2oKBAMSosggn/z5yMdgoPDJmkwKMPOnAqtTSi6jMTxPPT7e/yebjyI2z4 +FAHzn1iz5z8yoRk3bWJxJM8LOo/dfS0XicuMZTDVTVZsFCe0fRfzcOrOg96 YEAnrsnaThMcWAjxC99m+Z0Lu6Idh86XdiJmbfDVsyEslJTO+Km85WIobSM1 ZKoTN/fl/dXKZWF4dkT8t2AuLkXqO1+x7kLK1a7QJgoLK9wliho2cqF0SqXl anwX0nKlp4JnWDiSF9GeNcXBCzdp+0hyFzKbza4sX81G+pjEREgVBzaWv2pi VKnIHT36u82DjQ7bSM09kRwM6LMs4jypKFS/fyk0jo0F92dt07fhIESx/UNC HhUl2xom9N+zYc+N9JuZw4HiVLVJsoiKD8fGQzpZbERskIzvbmJjo5r2z2cW 3ejxnFq1RI6DkV0fyOvi2bg4N1z+2/1unEZSvqYBB9pEO8ssGzbe/xlaZfaj G7OW6azUsONglzX1xTwJNsaE22zDnHpwT6L0iZofB2EVR9Uvl4t1aiDHi5DX g1UMu2WqUeI8N4zd4IrrF9QmGSYn0Yuqmt7MxY856CuJ+eVqwsLrz75pzh69 cHlyWlNZnP9cI2WfGnHfvpfUvXlQ2gte1MwDJRoHG/OektYUMLH2ycq2Ifk+ hPreUVH8w4H/UtOtGX5MnEm9IdA70YeFNivvLlTj4l56beHcZUy8jOHNPkPo Q+6KMkX5DVzULXJRu9jPgDDYYdm7Jf3YKO2UPN+Ni5+JjOvs+wwYHivY8vdi P1o4A/PnBXGxXPbcT2cXBiZVnbrSmf24mLbFqeg6F3c2hBDkFBno1B7I89pD w1dradpoGhf6ehY6pmQ6SlYGhuhX0OD7re20eSEXFYslww8l05FgPMv+m8EA etMf/Aut4MJZmkiL3k3HMdNU1Xf3BrDH1iepuo0L7q/EzS8X0LF980p+qOQg Gr4bLZVmcDFBzF9XkD4EbasPZdaBg7DIGCve8VP8zuemot+qQ/hjvyN+Lm0Q b+w/b0uS5mFn7Od8x/uD6N7df5DsMASDn3GUdlUeLvg7+T5SHsRb9wDDtHdD yMpy8VE15CHbtltbdGcA9kXh/9Yo0qHsqPXzkFhfm1b49lkoDuDda+LRO/Z0 3BzjRD/eLdZdqZF7ick0yJ16Uj8rgg6zXY+D9T15MIgbs3ykTEPxJsYPNzG/ VPrTjZcf46FldSu7pqAfbrLLtJ//ocM2Yhlb6ywPZztyb/It+/Gb6uk4Zc5A a7rXI9XLPChfDlu3sLMPWXmZIbuDGXB/+9hFKYqHMm03qpm439sv0J7kvGGA 1kKfuyCBh//qjML+m+7FsLUm6dcIA37cZTUyd3n4d0JqeXRqL5IVPabsVzMh mvG6JJnJQ87C/sYCg16spz/Qf3SSiQvqOWv/5fFg++5NALmyB71F3a7f8pn4 a8LgThTxIPC4uWjCpQfXrqpEWHGYiNmpkzX6gYdECZ+PS8Q6prvT/eXd5SzM 8/d2/1rNw/+ebTpic7UbRI27PbwjLKSG58znN/HQ6aQofUqpG2e3sQ4XZbHw XmHZ2OwWHlq/m+0/U0FFwaWodvlBFtSuvTTd0Syuw/XqWNVAKpglOvaBS9gI FW4MSvwizlfdqaxahwpNQXU56T82Bg7Ul1DE+E9fdfFPdHbBTcdr3boMNtDg PLJYHBdaeakviu1C4sGZ3Nv9bOSYDq72IPJgSh3eUbGpC/UpWeo/NDiQyjl5 OqtRzKcng68cFXViumlrkrOHeN/kJwqZDTzUTs8Uymd3wlxyQPJNOgfE0GiB njgul3qz/4NzJ85uDruo1MuBoWChwal6Hpz1F8/3nt2JgiBNUZB4P2/ty/Av Fvuw9PJsC7kPHWAWfvLq2M/FCMEg7yeBB/oew4C3Jzpwq2CnIO0+Fx7a+ay8 Gh68Iu55Zy/tgEmniWUPmQubzWqmb9/y8D5e5Pbxazt6p9VS1ebxsGZffFS1 uI/zU7c7dJS3I2LVDO+ArdgPBv2htKbx4JPxcMvX+HbouXEs0sN5kEw6pdMf L56rvB9rZA60o/Vac0rvRx5EBbSz/FAe5IsdluvoteN8wWuu+i8eqPW7qscC ePAry1685RcFGp1pWzzW8FHNqFoo5cXDp5pxWfdaCqqnr95+eJyPwn9rjyi4 8KDQvOvvmdsUHFvlx+l7wsdd9ZyiJTY8+HfmjsR5UrDAzXGz5gAf18yUpg03 8FAxMMV8YkxB6bV1yYdUBTjuHL1rowEPSjwXasUfMjwKVNiPnAVwCfiVYavB w/HvBU1UIhnjzyvPE2IE8Fcq/+oiycPnWVJOBY/FvkTtUlyu2F+QnjmlxIn5 5PwMeZdyJBlWcSaZ1wcFMN9CW19VLeaxf1l7w73J4E6IXvvPG8Zj0umen9lc 9P057TpsJfbNx/Ib7DcOQ9bvX+iqcC6SJjfvc19Ohkm3d7/B0WGcm0xcesST C+tx2YPVkmR022l9n3tnGL23tAl3t3Ih4r36sK9B7OfeU2cLq4ZhrVPs/0WL CzfWjkrjWBKW66WotwiHUfgOchJ/OagY5NRKOpBAvOe05pWaEIscya/M+jnQ 7Ysk9siScEZ6zvYkWyFCB72cT33iIKFrSVtRUxuUg6v3BwYJwQr68euxeE5/ kD92xNxsE/83rpzemy3ETpmoB9RLHBxsce/1cGpDRBlTllMmBN+H6yJpxYH8 32iFhyptMDqZQ9xJESK95wizQUasu0+974UyW0HV9IorFQjhuLv3XEIbG4OO 0Dhc1IrIVm0HLUkRpggus/beY8NuVCvb8korjMMHZGI0RHixqeW2snhfi9L/ 6C6za0X3uoxGoYkI/xXbLutdzoaKVc/zWUqtiGJ6xLo6ibBg5efiTAEL1/jv VrMGWrD6rrp9ua8IVQ83wqeEBW5y6pu6ghb02PbM0Q0TIVDhTZveRRZ2m58z fxbcguiJ+w0374qw7IaRp3CrmG8Gd1fEWrVgTYH7jdGXIlCmcr8Wz2ZB+4ax 1YkFLej1ULbzqBch6pz21QvNTNxYLdfg2NsM7W1nhmO7RIhWLy8gxjER7fF9 UCqnGYt+/d3xiSrCfFm5BNF6JszmN+QYejdD9nlCgahbhPvjB04rMBjgVj7y c9Zpxr9DGnOX9oqwlJO/a30iAw8Cz+lfYnzB6MKC4859IhR0jK85sImBHTr2 w1k5X8AjmBOj+0UwqbVVCOPQMdWu9are+wtoFxv039NEqCi5+yM7hS7W+9FA kc4XUIzcY/kDIthms9oJYj/suYFosojZhIYhFldjSIRMzaPHSR1DUOBnjm16 0oTy1CC7XXQRSiYljVSNh1CTfr7My6cJJfaznoUzRCB0Pf7qGTOI8047QmOX NyFvKln6DVME6hvLkme0Aaz4p21ZxCTiYbH2UTZLBH4yLejb+gFQi35JdD0h 4jqdE98proOVO0HdP4CGlIUXXSTdiaCFaws+Noqw8sQhkWFGP6xrM6S+ShJh snS/Q/YHEeZe/Vk18qUPoxdqS7tLGhFflZwfky+C6HZCSunvXjzR5x+t9WwE /TBxzsk0Eci5un6XxXrm2rdA9dX8Rpj/k/DfEytCaVn5Bsv9PZBKNCWmfWpA Ysam+vUXRXjQ4jpX6kY33uLg5ajjDWBvCVqhcUyEMLqwv7GUCr/Ra4YBKg3Y 0l8YPbNPBK9f0UW3WF1Qzsvt319Xj5QrLCbbTgQbWa1IZ6Uu1O3/css6qB58 dS3rLxtEMNAqdVWx6sQFue9bVy+rBz665RTriedk3U69/sAOrKxcPKLaVgd7 /w8f56mK62a/UHZvVjvCZHo8wq7WITa1Uj9hrgiH9lw54tZMQeTjNKMi0zo0 VBPuyf0Vom0f5/2BSTJiN+3/OyQgYM63Jqmb34Sw9twrf3ilmKfaVVoVHxNg q0k+N5chhFdzSHNtbhuST1Ezt+8j4LoDdSiuQwi7vp1XmqdbcG/2/TPB8wmo D6btkm0QYrVg+arOA814mOmO/NpazH7KLI8V84Py5GQ37U0TsjcsVui9VAsb Mn+VzAsh/swh3eDMJyKX1EmXW1uLmH/f0m5kCkFfnGf2zb8Bhcfvvrbg1IBg OCY957YQjStC2ePVdSie5RZ15lENpA5Mnb8eJUSRqXPqjAYBpQ8XuT52rsH/ ASNVuks= "], {{ Rational[-15, 2], -75}, { Rational[15, 2], 75}}], {Antialiasing -> False, AbsoluteThickness[0.1], Directive[ Opacity[0.3], GrayLevel[0]], LineBox[ NCache[{{ Rational[15, 2], -75}, { Rational[-15, 2], -75}, { Rational[-15, 2], 75}, { Rational[15, 2], 75}, { Rational[15, 2], -75}}, {{ 7.5, -75}, {-7.5, -75}, {-7.5, 75}, {7.5, 75}, { 7.5, -75}}]]}, { CapForm[None], {}}, StyleBox[{Antialiasing -> False, StyleBox[ LineBox[{{7.5, -74.99999999999999}, {7.5, 74.99999999999999}}], { Directive[ AbsoluteThickness[0.2], Opacity[0.3], GrayLevel[0]]}, StripOnInput -> False], StyleBox[ StyleBox[{{ StyleBox[ LineBox[{{{7.5, -74.99999999999999}, Offset[{4., 0}, {7.5, -74.99999999999999}]}, {{ 7.5, -44.78851963746223}, Offset[{4., 0}, {7.5, -44.78851963746223}]}, {{ 7.5, -14.577039274924465`}, Offset[{4., 0}, {7.5, -14.577039274924465`}]}, {{7.5, 15.634441087613299`}, Offset[{4., 0}, {7.5, 15.634441087613299`}]}, {{7.5, 45.84592145015106}, Offset[{4., 0}, {7.5, 45.84592145015106}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]]}, StripOnInput -> False], StyleBox[ LineBox[{{{7.5, -67.44712990936556}, Offset[{2.5, 0.}, {7.5, -67.44712990936556}]}, {{ 7.5, -59.89425981873111}, Offset[{2.5, 0.}, {7.5, -59.89425981873111}]}, {{ 7.5, -52.34138972809667}, Offset[{2.5, 0.}, {7.5, -52.34138972809667}]}, {{ 7.5, -37.23564954682779}, Offset[{2.5, 0.}, {7.5, -37.23564954682779}]}, {{ 7.5, -29.682779456193348`}, Offset[{2.5, 0.}, {7.5, -29.682779456193348`}]}, {{ 7.5, -22.129909365558905`}, Offset[{2.5, 0.}, {7.5, -22.129909365558905`}]}, {{ 7.5, -7.024169184290025}, Offset[{2.5, 0.}, {7.5, -7.024169184290025}]}, {{7.5, 0.5287009063444166}, Offset[{2.5, 0.}, {7.5, 0.5287009063444166}]}, {{7.5, 8.081570996978858}, Offset[{2.5, 0.}, {7.5, 8.081570996978858}]}, {{7.5, 23.18731117824774}, Offset[{2.5, 0.}, {7.5, 23.18731117824774}]}, {{7.5, 30.740181268882182`}, Offset[{2.5, 0.}, {7.5, 30.740181268882182`}]}, {{7.5, 38.293051359516625`}, Offset[{2.5, 0.}, {7.5, 38.293051359516625`}]}, {{7.5, 53.3987915407855}, Offset[{2.5, 0.}, {7.5, 53.3987915407855}]}, {{7.5, 60.951661631419945`}, Offset[{2.5, 0.}, {7.5, 60.951661631419945`}]}, {{7.5, 68.50453172205438}, Offset[{2.5, 0.}, {7.5, 68.50453172205438}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}, StripOnInput -> False]}, StyleBox[ StyleBox[{{ StyleBox[{ InsetBox[ FormBox["0.`", TraditionalForm], Offset[{7., 0.}, {7.5, -74.99999999999999}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.2\"", ShowStringCharacters -> False], 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, -44.78851963746223}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.4\"", ShowStringCharacters -> False], 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, -14.577039274924465`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.6\"", ShowStringCharacters -> False], 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, 15.634441087613299`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.8\"", ShowStringCharacters -> False], 0.8, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, 45.84592145015106}], ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], StyleBox[{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> False], {{ Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}}, StripOnInput -> False]}, { "GraphicsAxes"}, StripOnInput -> False]}, PlotRangePadding -> Scaled[0.02], PlotRange -> All, Frame -> True, FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> Opacity[0], FrameTicksStyle -> Opacity[0], ImageSize -> {Automatic, 150}, BaseStyle -> {}], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]}, "BarLegend", DisplayFunction -> (#& ), InterpretationFunction :> (RowBox[{"BarLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Blend", "[", RowBox[{"\"Rainbow\"", ",", "#1"}], "]"}], "&"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.0006290672031395617`"}], ",", "0.9933359934003899`"}], "}"}]}], "}"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", RowBox[{"LegendMarkerSize", "\[Rule]", "150"}], ",", RowBox[{"ScalingFunctions", "\[Rule]", RowBox[{"{", RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], "]"}]& )], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )], ",", TemplateBox[{ Graphics3DBox[{ GraphicsComplex3DBox[CompressedData[" 1:eJx1nXmcT9X/xydjmeyMkMg2JCEkIpnLV1IJlSJkKdm3RFJClKTNFpKlxRaS rckyzLVmz76OEJW+soaQ5Vef+3q+P3PPb779cx+fpzPnvu/rnnvO+7zP+5yK v9DjqZcyxMTE7M4UExP7z/X+Wbm33bxZ0uca3+Vwl9kpW5b59XMWG5VQ3PiC 6xvbL5x9uebYrQWO1B9V2Hj5Wb/WvW/urcvnZIsf1O1gfuMzhzfPkZC5/EOr IvXkMX65y+O33tq2wvJvI+UzG1+XrVrms6nPLF8U4ZdSrHz7Fbkn5u22PCby 3/FkeKnT3e8se7Tf8s+D8onwa7N+iJSfFtTvwU8Nui9S//LAHuN9F++N+9ee mYH9xud06RSxf1TwvMZbX18Zed4VgT7Gy186EtFHv43HxKzvks3fsozf6Pr6 hRWR8vzm+uqib5dVGZdzBTrDx0xv2m3Rw/euQGd46Wwf/tB42gsr0Bk+x+s3 rW6OjrXQGV5w897x7fctqIXO8H13PP7cyFa7aqEzvPii+0eNmn+kFjrDT6s8 OsPXbQrqR2f4kIcCe9AZvjprYD86wx+ZEzwvOsPjFgb6oDM8JuZsWv199Pu8 0G+R90U5eMOZQf385tr4wyebfXqpTS10hs8+uCVr6kuTaqEz/NtDi7PmyHbc dIbXPTLx3j+/KpaIzvCkue+W/e3u2onoDB/TJCFD3TqPJ6IzfJnKozO8jepH Z/gF2YPO8BqyH53heT8OnhedTbfZgT7oDI/xzkT0tO9EOr2f7YnI92LtT/wb vV/+Hr7vQGAPv7l6sbVyvtN8gekMX5SpzeHEXrUT0RneovbK7T0WvGo6w6+8 WW/oQm+M6Qw/NCtLi6fvmmw6w7MMCMqjM3yo6kdn+AnZg87wQTGB/egMryr9 0RmeLH3QGR4T0zGiJzqjx5LKWSP9JzrD198XfF/oDD+t9kC98IWyn99cX8jS tcWafB+azvCs554+2LL/96Yz/L7/bmg28NEtpjP8gfMZ/Q6Xd5jO8Loqj87w IqofneFfyB50hqfKfnSGn9XzojO8TbVAH3SGx8Q8ENETne25N3uR8QKd4XPV v9n3L15P3yM6w1uq/XA/eE49L7+5rq099/VODfaZzvAGr1yY1cI7ZjrDc9Q4 1SFzhuOms1seneHbVD86w6vKHnSGfyD70RneW8+LzvDcGl/QGR4TcySiJzrz fC0Gb4mM1+gMf7pwML6gM/wL9YfWL4jf0PeOzvDKam/YAW8kffjNdeqZO7KU O3vYdIZv/7XQ/KWf7DKd4Z+oPDrDH1f96AxvJnvQGZ6g/ged4Wv1vOgMvyx9 0BkeE+Pl+VfPqP8RPEeBnndH/KXoeBnwBQuD8d36d/GtGo+i/VHAc80O+s/o 9xPwevreo+874LeqfUbtC/gO6clvrreP/6pr9qeWmM7wxSqPzvCcqh+d4c/L HnSGd5T96Ay/45ngedEZPlH6oHPU3jbF/tUTnbH3XIlVofYML+O0Z/hipz3D cwwIt2e457Rn+JNOe4Z/7rRn+FanPXP9yGnP8KZOe4a3d9ozvIrTnuHHnfYM X++05+j7HxRqz9g1OH/nUP8M/9npn+E9nf4ZPszpn+FlnP4Zvtfpn+ENnf4Z ns3pn+GNnP6Z6wGnf4Y/4fTP8IlO/wwf4/TP8Aubwv1zmu8pS9r+mfuXOfFj XFp/A16/atjfgJf7KexvwC87/gZ8uuNvwGs4/gb8OcffgLdx/A14V8ffgDdy /A2ufzj+humQOexvwKv/FPY34Gerh/2NaP+0OC6tv8F9JsxqGPKf4T9nC/vP 8N6pYf8ZXjEu7D/Drzn+M/wzx3+G3z4g7D/Da8wO+8/wSo7/DHf9Z3ixzGH/ masXF/af4Ycd/xk+PFvYf472937If6a+2RlWhuaD8PdnhOeD8B+c+SC8U2p4 Pgi/5swH4UOc+SD8mDMfhF935oPwc858ED7amQ/CLzrzQfio1PB8kOvXH4bn g1b/zPB80MZPb2VoPsjfXYxbGopvwC858Q147Rnh+EbU3wnHN+CXq4fjG/Dc TnwD3rxwOL4Bf8eJb8A/KByOb8CHbw7HN+AbEsPxDfjObOH4BnzijHB8g2v9 78Lxjag/4ofiG/x77SGHu6z+//E6L6nBqvTidd6afZvTi9d5rx7w0ovXee0S Hk4vXudVbdA/vXidN/q/NfOmE6/znn6kUtF04nXeqoMD86QTr/Mm5qudJZ14 nbfm5WK3phOv8yp8+Wp68Tqv+vPb0ovXeVu3Lk0vXvePzie6dPlHzzWR8rf4 XGPuLvddi9RjiUuD3x48Vpzf/Htmp7zLX++X63L9USV8rnFFr+VdtycP7914 8e63PD0u9Xyyfnvwo3eGyhuPickXKY89EyJ6ZPeH5B/+1YejdpudvM8ffyvx WKO5RxJXRH7/mkL5x859tH9g7ijn75LuWnT41mNHE8cGPNEtD6f8NypPOfgw 2YMdcOyhXdl9h18Y+czMqM7YtdypH95Q9lj/IH5x8bJjt/11zJ6L64Ltv7ea WXKT2Q//XJzf/Pt4pzzXweK8b/7uW9k5IrDTeBPZif3Ug548L3yu6uH7gm/r 03Vajyur7b7wb5z7whurfsrzXc6XztjHvy9QPXDqe9Z575TnvtQLn6f6KU89 TVUPvyn/ldoJv/n3qeLOd+QVT/878mY+ku535GVReX7zPZW6cfWpNOVtneLi b3GheuDrx2eIcHvfand/qr3xvPDT4rxf2vtS6WPjlOrbr/fLb/79pDj1wylv 45fT/i1erb87J25xZvEzzvfCv591ngt+xqmH95aq75rf/Pt+cUdn76MKWSJ6 Ov3bv/OUCN+XJ3e7hEdL+lwrtcxT5vS1W1botwcvE+aU955Ov7x3nzh28l7m 6r3Ye+K7EKed8z4XOv0V/w6n3WBXlXJdZqRM+o3nsna1dvlrabnp89eAPhHO b/4uJqZdeuX92pVfSa/8P+PF22m56XN0YI/07PFSK7eOcL5Dnm+0vkfeK3y3 3m/FyN/HepMjf3ctJV+uTMNWLIzqQ30TnHGK+vY57Yf+coTTP9Cu96j88OB+ iTWC+/vxui9/z9+NdsYj+F7Vw99TX0HVw3Px71MbV+n17o0jiTwn/0552g/P O+PZYiVL35dq5Qt1u63iwaRbvQWdZvoP1z1s/SH21hzT4OrcKcuMY+/v7zfO f2bUpkT+HntGJv+aMfNLexNPj8m55+bA6Drj4HcHfNpgTdYVjW4WXHzzZpFo /zZlZ+aK5WOWwylfc3HypKXP371i1a58a27eLGjlB59a+0ps36IPwSm/sdOI 7r+vbaZ+ON7KDyqQM6XR3N3JcMqP2DOv749T7q/VOHLfHFbez1Ok+6GEh5fD Kd/gnkp1vio1uVZVPSflW/aPy5HhTKvlcMoPfP1SqR7eylrVIvxPW1+e9Uyd /KNP9FgOp3znUt/uKHlzt+YLvn0fxbXufF9Q3r7jO19+LFIP5amnqOYXlIf3 Vv1V1D6s/lezRuyHU/5Z2d8w0MHKv/ZMXEQfOOVblQ30CeqJt/L+xuNJ/+oP t3jDxkD/lcF7tPKZOhyOvF845Qfp/Qb3LWLlH2j9XaT9wCnfJjloP2qHVv6r hG09a48+WRNO+XJDg/ZJu2Ue0+uJO7+50fIea7fwlLG52i7u26wW7RD+5xvH kx64Z3Qt2ht8QoNcJx+8tMvaG7zYfQW3Ty+QPZH2A7/67EMfHZpaPpF2Au/z nzfWnu9aJ5H3Dh+h+Tvv3exXed4v/Kzq5z3Cy8ge3hd8jeznvcAX6nnRH17l 00AfdIY/0jjQE52ZF9Yu/nHv6Y3bmM7wXX8feqtG309MZ3ixIrtGJ/aeYzrD Vyb8VrzbG5US0Rl+6Vy1fd+kvGg6w4d9v2n+f74abDrDP/3qp0HvvvmJ6Qw/ oPVcdIZPVnl0tnVq1Y/O8NjzgT3oDD8s+9EZnnR78LzoDM96LdAHneF1pCc6 M8+u83eWXZ9le6kWOsPfu7Vj5QmFfzKd4asrNbtxNmvVRHSGb8vywnMn7hlg OsNv7P7hqbfLTDed4ZcuvDwzQ3HfdIYP+H3+851abTWd4VUVX0Vn+FCVR2f4 RdWPzvArsged4edkPzrDf9XzojO8n/RBZ3izG4Ge6Mz4WL351qXPvTnPdIbX KpOxwtq42xPRGZ4hsVG/Y6u6ms7wypl67hvy20zTGZ70xwfFyo3YYPrYemPd 0tWzdj9m+sC/j3s9y9u7Uk0fePbfSv+xYtIPpg+8ru6LPvAyshN94C/rudAH PkQ6oA/+yIY8h0qn7Nhu+sDzb094svrO6qYP/MvH9+44+P17pg8849JRGz7Z nmL62Ppqj0vv1xy319obfOjWFqmH3v7J2ht8t9an0BM+SOXRE35tQO/JzXof Mz0tH0T3RU94LtmJnrbOoOdCT3hN6YCe8CfyBrqhJ/OvHi+d6uVXPWR6wp/p U35Mu8F1TU/4uWonjzcvO9r0hMd2++5i6oE1pif8aoaL09amHrDvGt6q/m0J NcccNd3gW5a9daXfme2mG/wllUc3+A3Vj27wbLIH3eCFHgjsRzf4ID0vusGr SB90Y370ldMO4TWcdmjr8E47hMc77dDiEE47hA922iF8h9MO4a877RCecWC4 HcKXOO0QXtRph3Zfpx3COzvtEF7SaYfMmzo4/R68v9PvwWs4/R68sdPvwTc5 /R48yen34ClOv2dc9aAPvKXT78Efcvo9+BdOvwfv4vR7xJVfuR4ef+EnnPEX XqhyePyFF4wLj7+2HronPP7C814Mj7/wr53xF97KGX/hC53x160fneFl94TH X7gXFx5/4fUqh8dfVx90ho+LiQuNv8TpG5UI+5O2Tnc97E/Cx5cM+5Pw7KXC /iS88vmwPwmf5/iTln/q+JPwarPD/iR8q+NPWr6D40/Cszn+JPyOUmF/Ev5O ybA/CR/s+JPwS44/ybrHugbh+RH8tXHh+RG8Z//w/Ah+ypkfwYc78yP4s03D 8yP4LGd+BL/izI8sv8yZH8EbNA3Pj+CvOvMj+DZnfgTv1z88P4LfOy48P4JP eCI8P2Id6bwTP4Gvc+Ik8MGdw/EQ+LAl4bgHfEnZcHzD8gucOAb8ghOvgA9x 4g/wAqXD8Qf4aSfOAF9wTzieAB/0YzhuYOubncPxAXjsknAcAH7XsPB8n3jj iYNTIvEBJ07lZXluZSTO4MSjvKEzZ0XiFU7cyWvzRV3/37iHE1/yfs3cOBI/ ceJI3oC5f0fiME68yCsyZWWBtHEeeCOtbzpxIS9/5cKR8k6cx6u/vGLOf+t3 4jnevUcPRexx4jbeoL8mLv3Xfic+491b/VTkeZ04jJfljzURfdCT68E9tcdu TM1l7bbw0ZwfdDtY3F9ZfOoH9XrfZe328fK56hysWsLf8Nvr9aY1bGrtljj9 qLcO9qmXo5m125lrc81NOlXCv9D+sZRP6060drtXceYjjy8qMLLVImu3mVrl LjRqakl/f4+F60bOn2fttoriQutmTC+cVk/s71iyUvF//Rz0xP7eta/0/LTu HGu32P/F8OuffZi7lbVb7G/+2aRvnpr21Arrh2X/wHlNspbsXcDaLfb3eOvR dW+NO216nm9fsEHCo0X8eb9c7389TX/LdfyFDJ99X+W5aJxk3O0JB5Pu9MfN 6J54f/1R1t/eWrHQiKRuRf0Fjc8t6XB5p+l5X7scN+rnLeb3vKfUgblX4qy/ fWFejkVJ3Yr5A853XXNPveLW3464lqNzwoZi/gs9M1/s0bqw9bcpiqdN/C7c D5yT/cNm3CycuVAt62/13H6ON7dl7/DI7dE4iewf33jZydt3HDA9s8r+/m+t aLTqvhHWD1SR/RXqtj/94j0Pm57YX0T7O+gHsL96qZjmT6bpB+Kmxv9Rf1QB /8bgXsvS+g8v1czXLOHRgv4zi4+VX3Ut6j9w7drt8O+nnp1hOheNxMVv9/u3 Pjrhjz5R/6F/pvwTk7oV8qdM7bu2ed62pvOBSfnjRiXc4Te5p13196f2Np2r VS3Qu9vBO/wFc8peqnWhp+k8RvG0bs+Ex7Ussv/LHQOfO7xzpOncTvZ/WWFa /pIfvxyNk8j+N18u1fPDUw/YuFZM9v89adCc55/dYzq/KfsfUH4UOmN/2e0L P3+oaGMb17D/lSonal1NM67dGfmO8vg9ntnz2MQ0/vAbke8lr99l6PzfvCxR fzhYF4r3X8u6/8WR2+9PDPe38X77fmPubXrbm6bzqDp5ah5Myuf/1q583WPr vzCdzx7IMzOp221+v7jeu6p3/tZ0fuKVvPlGJeT3396w+rGkXbNN51mKpyU4 floR2T9vU+FlfxTcaDq/LvuXtzyW2vjoAtMZ+/Ot7DuvR/ehpnNV2f+z8uXQ ebTsH/Fs3VHdf91uOmN/4Qr1yv+4eazpjP0933j+ZFo/rUPkvcf5c1buWZ12 XlYiWLfxH+w/otI3lwravOxg5D1m8/ONu+3kx+2j87KxWg8qOz9vi9pTZpjO XOf+PuaHO1uuNn3a675b836W1K73z6ZPMd23crnCH79xZo/pk6r7vtblo14H xi41fcbpvvc2KV3iRtW3TZ+ndN8X1W7RJ3ukf8jlf77hyyu31zps+gT9QG7/ eq6/F0xIM19IiNhzJWVzofb3pI0DfKr1sVPLXt4/YnU0DhDUfzPlwLApTfZ0 isYBfK0fPnmh6d68N5ebDsVV/6oh467u6HXEicNfS2F9EB2o//6tfqlCe3c6 cctb/KQRvyS/98Ec0+HNSHvL4D/6WIVeV652Mx2qqb0XUr+KDkH7yeT3qTpr Ztr56bZIO1+X8sbTn76WNo6UHOF7Uir+8shjP78RjSOtjdhzNOVm23Zb82SP xpHmat2+cvNOl3vVXGM6LFb9/+kwP/fKXTtMh7mq/8i8bSWHnf/ZdFin+j+c 3jRp/55U02Gh6k/tcdvPVd71TYcpET3/SJn61/Gb3S5E4xjBuu65lKHnzhx/ 6Eg0jlFV333thGB8R4eKsne8xn10WBbUk/i26kGHj4P7Jk7QfdFhuvIUDshO dOB6onzlPGObHUwM+8PnEoc80WTtgpFRHT5S/TVm9Jh/ZuVB0+EL1V9NOqPD d4FuiXe9ELwXdJgQ6JzYUu8RHYJ61iV6eu/ocCpoJ95zaifoUFn2llC7Qod+ QTv0mqkdhucdt3iL1W7Nv1L9HdskPJDl92j/wPXC1NrV699yxHR4TfVn2tYy bt607U484RbvJX136JAx+I4Sb30v+E7RYYTW073k4LtGhzuD7zSx9B1BP4AO bYN+w7tT/QY6xAX9jJd1Y9DPoAP2jla/hA5jtH7+oPox+s39Qb/n3av8cPRR f+UNqxg/98fYnaZPVt33SN7WB6a+vMn04fql+uHw/DS794T6bfTZq/s2UD+P PkW0nj9F4wL6BP5DnPeTxhH0aRCMO94b/YNxB33OBOOUl/veYJyyOEAwrnmH mgbjGvpg71WNg+gT+MPxXi6Nm4zjGme9HzTOMo4H/nkeb4HG5bBfmsdr7sS1 NG567TTuo7PGWa+d/ASLA8j+q/IrsJvrFvkh6LxH9l+S34LO/WT/Wvk56Cy/ wlvTPPCL0Llq4Ed5f1UM/Ch0DtrPHd7GrYHfhc7yM71uyrt2/FIv55TAr7P1 O9k7XO0WneU3elPlN6Kz/ExvqvxMx1/yKjr+kvxAb7z8WHSW3+g9K78XnbH/ c/nJ6Hun7N8pvxqduU54JfDD0Rn7sy0J/HZ0xv5FQwI/H501L/AulQ7mBeis eYT3tPKo0VnzJm99/WDe4cyzvE2ap9h6dDCv8UZoXoPO2FtO/So6a97kJWne 5Pj/3gUnroX9nuZl6Iz9wzWPQ2fsX6x5HzrHyf7Dmiei72zZX2BmMK/Ebq5Z LwbzUHTG/v2at6JzlmA+7l0aef+ohXvOWf4P+V/ekGD+i85fB/Nlb/OcYL7s xAe8BycG82t0bhDMx71L7wTzcXQOvq/i3irN39EZexdr3Hfms95AJ66F/UcU T0Bn7G/WIIg/oDP2d+wQxCuc+IA3ZlAQ30BnxRO8j04E8RD0VfzB61siiJ/w XFwvadzk9zT5mWUa5p7X4qNjThw1mlcGL6fnuKF6eK63VL6C6nHeo79H7xEd ibf81+Fn9XdLdwdxIe6bTX77fo1r8DKaL5TQfAHurmvzHl+Un/+2xk14d81H Nmg+Ascfbi8/BF6JeYH8dtqDr3X/2s440kH37aX7Un6h7MyqfXnw2ay/i1PP ZdnzkuyhfLLWf1O1Pkg7f13+f6z8InhhzSMqax6BbuQ5dh42Y+AzD0efF37x 5XbTMlQ75uRvnEt5R34p/Iz89p/lt3PfcfLDH5W/Cv9F/vxI+fMWZ5Y/3+zs 90dznYraw/UX+cnGswfziEaaR6DPHOmz2Vk/fYR+VPVQPrieTy6v/b/UP07+ cAPVDy+p+g6nW49v9XDfgqon0bFzvNZPN8hOvq8d0nmA4/8nSc9ajp7L5ee/ Lz3hPTRfqKvy6DxF/v8BvS/4XM07Buq+2Eme9W7ldWNnK9Vz2JmvTZY978oe dCsiv3qjviP4r/L/3e8OP3Or8522kj883vm+ZkrP/c57z6H7pjjf7xdan83q fHfk355V+6f81yof55RvKTt3yk7KL5Of2Un9A/pcvjeYj/wnNK+P9fLL366t /o1+9Q/1l4/sDfpJ+k+ubzpc/a1XflS4vyU+/0vShLR5j5a/OjduToSjs+UX aT2d53LPf6D9kJeSSXkIth6k7/ontR/qJx9jl/JDwt/R8eSS+o5sXqx6mqh/ sDxJtc+G4hZXEW/s9Cesy3/vPJe7b5p6aA/dnX4Sfk7thPZA//mn03+SL5HB ydMYrH778o9p57Oxnts/w6drHM/tjNd3qv1Uc8bHWzRPvOaMpzzvBo2b1J9P 4+8Klac/idM8uqbaLbyn5uM5NO5QP/r0lP3wwY6/wX1r6d8nKY8dzt+R327r DprPzl5S9N2JFQ6Zns1kV8sfx7Tq9Pl30XOj1N7f0vop7R6+7vtJkfZPfir8 7OPBOiz5lPDZWge3827E38sc5CHYfhvyiJUHwncCf155R7R7eOX2QZ4S7Qbe U+V5f/CGqp98CHuu2MAe1u/hTWQ/683wk8rLtXVZcU950eiJnz5M66roCe/V Z3dkHRA94ZuVL42e8B7KN0BPeEXle6AnvIbybexcFdZplaeEnvCyygdDT/hD Km/nI4i/qPpt3774WNlj+SXiRWQ/esJrK/8ZPeGnl4V0M561Z6CbnbOkeU+9 0L6GksaHXVkUWYe185fEeygf285foh7lS9v5S+JrlO9q5xCJ36J8Jzt/Sfwz 5YmhM3y78gnt/CXxuSpv5y+JP6D67fwl8SzK/7Hzl1hnU/6znb8knqLntfOX xN8K62Y8f8LuiG7h/cvx/pGpQV5BeL9zvN+mz45l/66Dh/c1x/s7lO8R3tcc 7/vK3w7va463fOnwvuZ4v4LyzcL7muN98lrRGX6+a5APGd7XHO8XUPnwvuZ4 /2HVH97XHO/nVf5VeF9zvH9C9of3Ncf7e/S84X3N8X7cwpBuxgdliFn+r27o zLgx++4grwOd4e9XKhTJQ7Bz8cTLKd8GneGXlc+PzpavqnwzdLa8YOX7oTN8 gfIk0Rl+Qfmo6Az/XuUtT5H4mepHZ3gZ2YPO8BLK10JneC89LzrDh5YN6WY8 hz8+ohs6M25+orwadIZval4gkmeCzvBftR/Ezo8TZ/+C5eWLX1a+vZ3nJc58 HJ3NHwn5h8eT4W2VD4zOll+s8ugMX6360RmeW/mH6AwnHw+d4eWV34XO8Oxv hHSL8pj1Ed3Q2fxB5UGhs817KtSK7M9CZ3hn5ZuhM/wr5fuhM3yQ8i3RGb5E fiw6w8P57ceT4dvlb6Mz/FWVR2c4/j86w2fIHstfFN8m+9EZPlrPi87wuqVD uhmPi6kYyV8KnxvmJ8/TuVhw/O73Hf0pH6/zx+CUH1mjSui9UH6j4qhwyvd1 3hflsyu+Daf8LOc9Ur6u5oN2jqHKD3XeL+XTP8fMT96jeS6ceoY7753yJdM9 38xPTnbO46Ke15z2QPn0zz3zk1voueDU843TTij/knSDU36v034oX0D5LXDK z3DaFeUnqJ3AKZ/XaW+Uv3azddpz1az85ZsdQu2QecmbTr8Kb/BlxVC/Cr/s 9Kvwj51+1cqrX+U9wturn0RnuNvvwWc5/R7cc/o9+K7wcxk//88gk7bfs3iG M47D78hRMTSOwx9zxnF4lvPhcRwe64zj8O81zqIP/LozXsO/c8Zr27fqjNdw d7yGF3HGa5vHO+M1vJUzXsMvpEwMjdesA3hfh/1P2wezN35xWv8TnvmJsP8J /9PxP+GXHf8T/qjjf8JzOf4nnP04du6eeCnH/4S3dPxPe17H/4SXLBX2P+E5 nwj7n1bPkrD/aflrNwZ+m9b/ZF1lbufwfAo+P2FFaD4F79g/PJ+CDy8Znk/B c1YOz6fgDzrzKfg8Zz4Fv+7Mp+BbnfkUvIQzn4LXcOZT8Oklw/MpeNb+4fkU vEFYN+NnVz/eO+18inWqc4vD8QH4vkFLQvEBePtx4fgA/IQTH4B/4MQH4MOc +AC8oxMfgHdx4gPwN534gO2LcuID8Hec+AA88/VwfABedVw4PgBPDsdVjF86 szgUHyC+e1hxLSd+5b3SIN34lVe4RLrxK29STLrxK29I+vErb1X68Stvc/rx K+90+vEr73T68StvUaZ041de1RLpxq+81Q3SjV9Znj96WvmbQZ4/edXEu8oe D9apyQO2PHDlCZC3Cl/cJsjTIM/S8ohXBXky5BdaPpHyDPcpHw5es0mQf/WH 1kUs/qb8K/KQ4H1uC/KRyL+xOKfyP8kXgRe4P8gbIT8AXk/5z6xnw8do3Za8 Z+JUF5X/TJ4uPLvyWIprvRb+gPKIxit+Dc+p/KsVWkeEZ1B+GvlV8O+Uz0le EbyN8mDJg4E/pTxk8h7gG3XOPOv08MXKtydP1/LalLdDfio8r/KmyNeE71Je 6Bqtd8KPKE+S/CH4AOX3ku8Cr6b8avIz4O2V304+gdX/bZAXQZ4ucZhSyvsi PxXeRPly32h9BZ6gfEL9tngO+cnkD8GzTw7yiMh3sbiQ8l7eCJ1bFe/X0T4I 8o2IY7RS3hH5MfBBypMhn8POzxgc5HVYf6p5egHlz5DnAV+nfA/aN37+Z8r3 YH8CfLDybcint3mH8p3I/4bPVb4Zec/wHVofJA8Yvk7rkuTFwp/SejH5kfBu WiclL9Ds1HooeWyWP6h8NvKubH6q/Cv6AXhH5QvRD8DPdg/yW9inwbygjHRm XwH8K+WJkQcPX6c8PfK/4axbkQ8NL6B1IvKD4eQJkwcJT9W6FXl78LbK3yPP DP6c8s3oH+D9lR9F/2DrisrnoX/Any+gvETy5i2vSvmc9A/wGlpHI78ZTl4E /YPNs5RnSP9g5zcoL47+AU4eF/0DfLj2SdE/2H4v5aOSXw4nX3ee+gf4PuUz 0w8YVz4e/QC8xJNB/hh5TvCVrwf5Tv21Doo/2UL5w5OV9wAfo/xq8s/Mj9X+ JvKl4BWVN7VaeRV2voLyt+kf4BVKBvlU5EvRb5RWvhP5UnDy9smXsn3AWq8k X4r2U1b1kC9FP3RE46zjn/iFY36K+Cfk99Dv3dR6Mfk98ApqV6wfYw/ryGOl J+XJDyEvBz5M7RDdqOct5YeQ9wPne1yh/A+3nu7KR4HX030nKY+EelJVz7fK R4H3133JA4OXUr9Bnhbxw63qV8n3gm8hn0T5Q/CG6m/HK18HTv4PeT/wvaH8 n/P/L/+HvB/6z8aqhzwY6lkrO8l3gW+SneSNUX9mxd/IA4Mfcv6/Btw3VfFe 8mMov1rlyY+hPHky5LtQnrwI8l0ov092st5v+/yU/7BT7cfyB/UeyWeiX6qj 9tBa7YHyP6k9hOMMsd5NnbtCvpHlZau9kU9DefJqyL+hfF19L5nC36NXX/kz 5CnCGyrfxskf8Fp3Ghv5TjOF/WfvbtVD/grt9mnlpZCnAm8gzvdLe7gqPcPn cPrJZ9M9h9NPJt+GeZztv1E8n/kXPFl8Raifj/VcO+Hk1YTjPLHeKq3L0B7g 3dT/wHmuU3qucNwp1mPdBx2wk7wa8l3Q7SOdNzhE/aTFA9VPrgmNa7FeV9lD Xgv9EuMyeS3wbMpvwX7uS17Q4P8xLoTjbLFesvSZ7vg5+ZxzGrHfG/DyOx/8 uE9+Szazh/1x9VQOPkB5L+THYM+jFZ4bl2HudvsuLB9QurGf2eZxGgfZ7wR/ T+Mm+39sH4z8QPY/Mx+ppH3c7OOF59F4/aHGBfgIje/s84E/LX+gX+i81nj/ 296B/8B+ZlsfV746+2/hb8g/mab2DMefYZ8SfJb8H/btwKvLX2L/Nvo/K/+K fdTwV+SPse8Xzv5f9qnCT8rfY9+L5WHJz2R/OO+xufxS9jnDO8qPZV8uvJn8 XvaRwnvLT2ZfjeULy29nHwV8vPx8+k9b31Q+PPur4VM1v2A/MHyj5iPsX4WP 0fyF/Txw9vWwfwM+V/My9hvY+qnmcbYfWbxOQtp9/dF1w8V3t42cA8A+dhvf tZ99jLNuOEPrU+wThj+rdS72HcGbar2MfTLwVio/xln/yqv62YcAH6t1Lr5f +pPJmuem6PuFk9/Ld2rrF28F82i+U/gRzbvZfwjHf+M7tXUc9ZOcd4Cf/5r2 ZbBvHz5V8QH2mcPLal/SF6FxJ957UHGJ5aHxJd7rqjgG+9zgjRT34DtlXnDb N0GchPMC4H9o/w772+E9tX+K/djwzdq/xj5k+EeKY7APE55d+zHZlwjPrP2J +9TP2/xF8SX6AfhJxaPoB5i/PKf9MvQD8Ne0X4l+wM5V0n4x+gF4Qe3XYx81 fKHib5Plp8HrKl7Hvkp4E8X32E8In6x4IP0MvJXih/Qzdl6O9m3Rn/Ad/6L9 WYpzGp+q/XGKi0b9Ou1PZH8I/NG8QRz1nPZdwNkfPVX+PHyv4rRF5T/bPifF dfHn4W0UB2ZfH/xo6yBurDiz8T8VZ1Zc2vgNxaXJl+W7/lP7dMgXZ/64UPtr eI/02z8pTsLzWr+t+BL6WD6J4ktznHnHFs0j2F+Bn3ZF86PxzrxjocqT92/7 dXRf8vttH4buy34b6mmk/pP9Nty3p8rPduZN5O2zr4bynXTfL5z5Dvnty5x+ u73um0FxJ/T8U3qSP817WS1ueZ96Lze6VvwkplMZ2z9o8fxa7yXtqB89r8ny gfNsyzKyRF3bP2jrCxljy3RfO8n2tdl5USvPJZ3I67v72vwzhWp//uQrO21f G7y81muw29rPxiqDP3lyse1fgw9ql21jjyVjbP+axTFuXz95cZdYO98G/sXY MevHFG5i+9fgGdsOOZSxTyl3X4M/Se0WfdAv6T8n8xwdHT3HBj694aAdT/aN nhsGP3Atader+7KaXw7fNfzLiw3eudvm4fAFV7O92/i5mtZe4XdpfRAd4L9m bH5ofeW/TAf4f6tky/3albW2j8/2zVf/vUWFfkMtXg2fUeZyif4ZG9p+Sfgn bQJ97Nxd6bFl25fJDfpGz5Ox/NhLZWP6J7wQ3bclXnXLmw3fu9g/eu6ueOrY LOuHVPogeu6u+FatO9u5E+Kty11/p9+7eaPn5Yr3rVwuW5/7ptpzwUvpeW29 UPwjtYfwuVjxftHbbn9k28wvzX7z2//+oW3n6t+Z/fCGLef/vui6b/bbd6P8 2PB5VvF+xczh81XgTfVc4fOs4v0jeo/hfTTxvvd1uJ3zHBOdc0jg2TMF7YR6 4A31HbnrFyWd8zrgXTcF36O7fuGeUwFv3TbrZ8v2R8+pgN/yztAPsm+OnlNh 5zu2Ldzupdy+tSv4sXK9x2+5us/eC7xO++PzM8Ues/di8R/1/xYHFz+qengv 8KZ6j+hp++fGBe0Tfax+fafoA+96R9C/oQP9mXtOha1T1Kte9Pyo6DkV8Ayb Zm3MvHSW6WD1LJj1Xf/M20wH+FXnnAo750blw+cDxHqD1J7t3CrxZ/Sd8rzw v9Vf8byW97Uq6Ofte9D9743ZMHXZ6cFmP7zEM81/OPnOArPHzoHTd4c98IPq T8L7u3N4la4H/arFxcQrxgbjUVi3eK+M7AnrFu/FSmfaD3yZ2iHftZ375ZwD bPOF7UF/GNYt3ivQKBgXwrrFe5czBOMp9tg5r2oP2AP/++3ge8EeNz+H+8J/ 0DjFfW1+ofHd4s76uw/1nVI/vKtzjjG8V/fAf3DGccu7oH/gO2ig8nwnts9F 96U9ufEc6uG7+e9Dgf12brx4RT2vndMuflm6WXxQfJJ0Du9DjPcTLv8YeS/h cxfj/WMa38PnLsbbOBg+/zDeX6H2w33hlzYG7S18/mG8X17tE3tovxMyBO0Z e+DH5FdgD3y1vhfqhZfU90X7gyc497Vz4OS/cV/7/4qoH7BxXbyG+g3ua+ej qJ/hfvDi6pfQwfZxfj8s4+72PzrnksX6N6Ub7Rg+xnmPtOuKTj9s5+Cq37b8 BvFT8kOwH95Y4wL2w0+ExpFYmy88qPGI54L/7Iw7dv6x2gnPBc+q8TF8jtaf KW31vbhxJPf8KL7Lzumex+4nP5nueez/fMfpnsfuJ8ekex67n3wt3fPY/eQ2 6Z7H7idvS/c8dj+5Q7rnsf9z39j0zmP3/8d57P7/OI/d/x/nsfv/7zx27Pp1 Y9jPsXPR5C+hJzwu7F9F82lPBn5a2B+I98rdH/h1YX8g3usvPxDd4M3VDrEP /ra+r/C4/0/70veOPeg0bFzg92IP/IT8ZOyBr64a+NW0B/hQ2Ul7gK+X/4n9 ls8pPwr77XyRkL+Rw/gm9WO2Ti9eSuNs+L0U8cq3CuYp4fdSxJteOpjXhM/F KuId1vOG/ZYiXqzeS9hvKeIV0/vlueCX1Z/wXHb+zPtBPxk+F6uId7f8lrD/ U8Tbq/El7P/8893XDcY1Z/7uXX4+eF5n/u49qffrzN+99cODdujM373has/O /N0rJj/fOYfW66d+1Zmne8XkBzrzdK+H4gPOPN2rkjPwf5x5ulc7MRjfnXm6 t7Rb4D9gJ89xp8YR66/Ff1F/C+fvPPXPti6u8vTP9AvwS+rf4NTzotO/cZ/f nXM54Dudcwb4u5+c/hBe17HT9k2Ih/3SWK+jYw/v4ZjzXPDw/+ci1vxn5hd8 X+hfeW/4nBzbP+XMv7jPXj1X2K+O9Wo5z0V9ieLhc6hyeCVD85dY81uKOu/d 1tOP9vw9w6b99vyU76x1yf8Db3E98Q== "], {{{ EdgeForm[], Directive[ Specularity[ GrayLevel[1], 3], RGBColor[0.880722, 0.611041, 0.142051], Lighting -> "Neutral"], GraphicsGroup3DBox[ TagBox[{ Polygon3DBox[CompressedData[" 1:eJxFmgn4DtUex2fmzBEhlXaEpERkKxFCWaKFslVKWYqKqCzRYquELJFKJdqQ NSHRRsrt2or2nZT2fV/v53u/c5/7PMb5vGfOzDvvnHN+y/f3r9rryrMHZkmS 1AlJwr+kLv/tR3sgnQPzJOkE30jfAHgXfa/EJOkPn0P/aPovgM+GR8Hncf40 eHyaJOfD7eFb4XPhdvAt8CL4Gfh7eCm8Dv4JXg6/AP8Kz4PXwF/Bj8BPwl/C D8FPwJ/Di+Fn4R/gJfBz8I/wWfBJ8Ai4Ns90HO0RtH14zlPoHwz3ZUx3eAbn BtF/ETyZ/sFwL3gqfCV8MTxFL4XffBXNI/AlXHsufAfXHsLn3+Ff6MsY0xee Tt9wrr0SfgC+FD4VvgruzLiWep9c+zj8IvwbfCbcBL4Wvobxg+GHGX8tPAh+ EC7F/bvC4+AVjN8I/874p+CtcEb7NMc2ONDuzDxH5RnfBe6s38L49zM/zxj4 3cxztz9jJsCz4C30l+P4MvH1vXiGwzWG9u3M73A057/QPCS+XutD62Rb5veo 9/kn46swbm+OUhw/ap4Tv5eLGNeb9j7638p87Zu039J+l/j6M/jcmHY4Y57V utM00M7mWAbvpv8J+N/wX/Aq+CV9L7wS/hf8B7wW3gKnWnccL8M57cMcq+Ev GPMgvAr+DJ4Cz4Vfg2/mN9wPv8Bvup/+x+CP6b8TfhR+D74PXgp/BM+EF8Dv wjPgefDb8GjuE7jHq8zhHfTPp/8d+o+Cy8Nt4Orw/vCp8JGZ92Cr4jdqL3wN byx+79/w79yzEtyM+1ajvwp8QXFtVfhC+DH4cfjTYq/p+T+Bl8HL4T3wangt /A3cCD5Scw4fxn3/0XfpXXJsgv+hvyS/4Rp4Aeefo3+91j/9T8JPwd8W86V9 /TPcGD4K7gNP4Jm3wyVoH6V/MbyT/krc62N4B317wTl9kXYDx2z6T2f8DZwb AS/n3Cj4OniFvpcxt+u9MWYc/WPhtfRPhCfC6+FJ8CT4eXgBvAj+EL4Fvhl+ Br6Y6/eF63G/m+m/CX469b6YAK+Dm3KcxFGP4yb6x9H/FLxL9iyxvWhKfw3a S+k/Aa6mfvgg2Qi4JXxo9l+TkrSF68CHwV31zuES8GlwRbik9gF8cGbbfIps DsyjJq3hqnAZuJtsHFwWPhc+Gj4AbgfXgA+E28NV4NJwF/gY+CC9W7gmfDB8 FlyZ4zOtGY7a9B9K25m+E+HqcG+NgfeWfYAraM7gDnBzuCbcH24GHwP3gxsW a7InfDx8hPY4XBeuCJ8HnwzXgi+DW8DHwpfDbeGGsp9wO/h4+Gr4dPhEeBh8 HFwB7g4fDpeCO2meMu+RHnBruD48CG4DN4AHw6fC9WSX4DfgVvAoeD38GlxS a5/jPXg/2n2jf3MZJqFc9JyVhktHz/Fe8D7Rc7w3XDZ6zkrB+0c/X1n40Oj9 fwB8WPScHQhXiJ6zg3L7gl/53sm0B0bP975wmeg1URI+IHpey8EHRa+D/eBD om1Kebh89Jztk9uv/cA9b6N9LtoH9IPXR/uGy+D7WGwjGVMfnhZsq4fqGeBf ZKMz+0Wt96/03LyvPzQvHNcxbjTtPM4/xHEjfILsaPCebQBv5rsmc92r8PPR vuoK+JnoOegNPxvtby6BV8MvwT/A/4Zvg3fA/4JHy6bDL8DfwFfBCmiG8F2L ea6H6V/I5w/1u+B74Tf1PNG+5G14WbQf/QJeGu0zPocfi/apX8LLo/3HV/AT 8Ivw9/AExQbwRniSbKP8EHwbPET2Gr45+pmeh8fDg+AX4JXwBvhb+N5o//EG PBG+WnYXngz/pv1PeyvHYPhF+pfAa+DP4BXw8/A38OJoX/gpvCA6rtoNz4+O kz6C50XHT7vk26P3+SFwxWi7cDD8SHSsthN+KDom+wCeHe3z3oIfjI7P3ocX RfvdPfDC6BjlE/jx6L30tWx+dNzzMTw3Op57F54T7YPfgR+I9s3vad5ZM1Nk 97Ru6RsKL0n9/obBS+FO8JnwRLgjfAY8Ab4VvhveLDsj+8jxEZ9n524vVNzK mLPgSZxrD7eBx8Ed4LbwTfA5cEftF8VmwWMe5Nqr4dbwvfotHPU5fw9td8Z3 o/92PveAe8AzU8d+inMmwxfAF8B3wj3hnvDdcJraD2r/HCVbxrFHsYj2Lu35 RQzwNlxWa0vvD96XdovmBy5Pu1lzAu+feZ2+BZfJvEZeh0tlXndvwHtrLWpP wKUzx/2KPVoU31+W4xM+j6F/Gu0LfN6v8Hna/zF3bLYP72Or9hl8QOZYUL9X 8Z3W7HB4Gdc1gOvCA+D68HHwFXAf+FJ4rr4v8/1fpp3DfQcmXv+j+K6Uzy/D NWl3079d13FcDj/Etf1kS+CH4d6yH/Cc1HlAHX0Pn7/MbAM/o70t+P3/pTyA Yyo8lvayzN87TzFVsXZkB/fIBtC+R9ufYwD8SOHj5EcGKjbI/a5m0A7h+Fnz wDOfQtuC/usZ0wo+WfYSbgk3h0fCx2aOHy4pfFNL+AbFHXAjeEjqGEO+byh8 IXwhfBd8Q/Ba/SN3zqDc4W/5Gvgv+E/5pOhY6IngfEZ5zUjGXM+5W+Fnuc94 +C54k+7JuTHwNNpqqd+5bHojxTc6r8+Z/cXjikkUW3DsTBz/1+DYkXgtaU3z L7mPezVIvXcODs535FM0pmax5hSHHM1RLvF3Vk/9vWl0vjVOdiL3nN6d+3tr c5RRrFX89q8zP8OxqfOQ+3PP5RjOl4h+H82jv6tWEffMyh3fdaB9MvVvV1x6 O5+z1LYo5/pReoepcyflQO9kfl7da5/UeZfypw8z513Kv5Q/X5HZTy6kb0Dm WHoRPDN3Lik/+998IXXcmxQ+dFXqnFDv6keuy+DJcAXaEbmfp1Hucxqj9zo0 sy1ZzbV35V4D8sUHFDma9tdvuffQabyHI+m/TbYn+H1ULt7/PgUrJqxUzHFp joqp32+p4h1XKeZ6TzHfshs1iv6KxbrQtZWKeT68WA+nBseWinlOC44hD81t a7SPytDXITgmrEB/++BY8TD4pmB7+wx8Olwbrpg7VpdN1jvai/awYi6n5l6z xxd+QH5B+/rO3GNbyfflthdjuV+vzHn9/Xy+OLP9mK2H5n39xOeptPOD5/T6 Yt4OSe23Khb+q4RylOBrh+XWBZQHx2gbMa2wr7WL97OzmFc9j+zdhtR2qVTw PtTvOJG2XXCMLd/9s+x96rnfN9gOlyt0g6qKvaJzHM2JbLx+48nF3mmemrtw 7gHFSYnXf7PU59TfLbP+MC11DtS0eLf1C9aeGRhs356Qvw62XfJ78o9NUr/b IcG+dTV8JlwZflQxRvF98q1nBOezC+Er4GbwisL+NClskPby8an9+MnBuds8 uJJiGbij/FR0HqW+5oWupfxYufPrinOKmLEX/fcyvk3wtQt0n+i8aD5cS3ub /r6y86m/V/t5Tu790pK2BtdeD6/kXM/8/7HGK5mfV/7qxNR2U+tP2lRj7Rs9 V3Bu+Kr8WLAvWMm1I+HT4SfhCowtWayDrpnnZGpqO9qweJ6pxVzpnj2D/ZF8 yPjce/QW2nV8flV7QvaezxsS9ysen6NnKNZgmWKPy6/Lv5eQnwn23ctyx+DS RnakjllialujeFzPqDVbMvx/HwwI9nertMczx05jGdOH/hPg5fRfFxzLrYXv SR1fyM9qbjRHH2XWv7QOn2bMiOB4b438V3As9xQ8K7VP/1jxXXDuKf98dLQe sUj7OzqffAzuERyHLIX7BvvZx+EL4DrwErhL8BpYDHcN9tHyw00yP/81er/R ceoGxnQs3r++9+zgfPNwrQt4SeK4+gt4ZeL4/MtgbVMx8zfBmo+0n6+D9U/F 8x8Ha1+K4T8J1nOk6ygP2AxrEfWK1mKUF/wcrMNIj/ktWF9VHP5VsPalWP3P YK3sO/mfYE1SecT38NOJ86A/gvVG5Sk/BOu3ypU+D9bNFM+/GGzHpJ/NCI67 9B4mBccn6+GJwXHvOvjW4Nj4OXh+6ljrC669IzgOVH40E+6XON+ZBV+WOM+S 3x2VOK6aHRyDKc+6Nzj2U/71V7AeqBztruD4UPnUP/oNir2iY7PfEvvJnM+/ 0zaL1rbklzfJnwbrzMoBdwdrfcqbpmbWnTbyLNP13HoG+J7MmtV22VatXfhl +V/4HnibfBo8Xc8D3673pWeGZ2W2va+kzqu1/rUPphSx94vwXPhB+M3UOqQ0 263wHPgB+A34Afgh+C14PrwQ/iC1hjkXfh3+KVgzVz5bPrX/kO94V3Fh4lxM ebPWwHec3xb8XfrO7tG/U3m08mmt512yxdG6nnLtrcH5l/LZLfCd8Gvw5uDY 8nX41WAbolzynWC9VPnge8EaqXLAyzPHqI9y//eD9VXlm68H/xb9pteCbZdy +Q+CtVnlqp2CNZ9K8ILUPlcx/8JgfWAz/S2D9SjpJC0KWyEfcWLhC+Q7GgXr Y9J8TgjWzaT5SHuVviS9pWmwliV95qRgPUqaTONgDU2az7XweXCd3PWUb+BJ 8mPBGp30ovFwf7hubs3jHd1HdiZYJ5SGc0uxL47LXXf4lfM30Wa5awE/00ok lE34kbZ7sJZeFT4fbqrfCJ8XXCupBp8bXIM4Aj4nWHOrDHcLzjVk6zoH629V 6G8drOtKKzglWDeWfhVy1yB+oW0VrH9K40pz6/A/0ea5dfhfaRsEa+DSsuoH a+DS0BoGa5jSzVRTUQwm/eTq3BqUdJ77itjtW55tcbA+sCV3jnMMn9sVOaPi dsXvY3Jry9NpJ3D+fNlGeAV8rfYm/Cw8Xnsw9x7WXt6bvnF8LpFad1oarD9s hZ8L1oelE/8drM8rR38mOJ/anns/a1+rBqCagvy4tC/ZBdmH6sG1J+1B7fs+ 0Zq79K5BwXm04qj+wTW1mvT3C661HQNfGlxfqwFfFBx3ye8PD65V1aZ/WHDN 61j44mCdszrcK7imcxTcO7g2dHTuupVqQNLf5Kflrz/IXEdT3Uca3eUcXyfW DKWbSBs5WnaaowNcK7eGonjvOMUC/K4/Mse9dwfr+fVyx07KJTVnnaJt6xmF rVbuIx2xf7R2oJhQ2uLowm5fHp0byy93i7ah52g9R9vEzvCaYHvbGu4abZfP hlcF1whO1r6Itptdc+fGypFbaI9E29wu8IhovUYxxspi3ptrX0fn4YpbRsK7 M+fgV0Tn9oofBkTn/Ioxngr2F201v9Hak+KfNanrF6U5P7DQCxRrrQ32EW3g odEak+Ln66M1DsVCo6K1D/nTG6M1Ea3tG6K1FeVHw6I1KcWTw6N1KMVO/aK1 GMXhXaJ9VSc9Z7SupL28JLgmchJ8SXRMrNi4drServWznDG3MKYZvCy4ttI0 d83oH/nL6Nqx9JOJuWvHu+C+tOsK/6J9NKmwjdKEL4uOsRSzTSyulV6tuFTx qXKcRcG1mCb07xVds5pGe1F0Dew8re3oelUP2bdov3sWfHa0Pz4Tfjpaw5Jd WhOt+8terY3W1GRXO0f7+47wVdGao3KTHtG+ths8NzgXaKh7wjPhdtpT0fqO 8ou+0XU75SxXRsfEikV7RtfnztX7ia5XdYeHRGuRyq1WF7G2amRvc6xIvG6r R9fwZLePj67Ha+83jK7Ba++rFq7cthrtr8H1OL2TE6Jr9vJNqsErViwr2x9d 85Y/qh9dq5b9aRBda9ce31PEmYpF29M/NnM9rkmhY6uOUCO6JiQfdEx0rUi+ 5qjo2pJ8ijRDrQfpf0dE12+Uy9eMrg/JT0kLlQ6h/K1WdK1IvuzY6BqPbFrf Yl3pftI3lKMpV6saXXOShlAtuhal2ODI6Fqd4nPVKP+X9zSK/lsB+Vnl58pz VKtU/qw8Wvlalej6k7SIHcE1TdmfDtH1SNmc06Prhdq//wTrt/IRdaPrWLLb LeFrM6/hVvCIzHutTnQNTDa5cnS9UNrId8E12fPhbwu/o3zhmmhdW3nW1dH6 uHLJwdG6tvKaMdH6pmLy0dE6pmLyU+CRmfdsC3g43BhuHF3jkK3+JTgfVE5x ZnQNVWv7rOia62lwvej6vXxTx+j6a3v4jOjaquzezuC6s/bLruDasdZ52+j6 rmxv6+i6r2zsZ4x5PvFePim6zqJaUtPoOov22qfB9WjtnVPpvy6zLWoTrVHK zj8ZrZsrLro4uv6td6gcWet9i84Hx8+yD/LH8svSEhV7KNbYIP8cHG/LT32e +e8blL9sov/hxPbhpeBYXbZlYxGvKpaXPqDcXxrA+uC8QO9NWpP0TOk10vek JenvcjbyfcMyaz5ji/2ra6UtSFOopZg32HdovvT3FbKflYPzGtki2ST5Jf2N hfJiza3EN9llaZLSHvX3LNIPlRP9ldlXSzOUfix9Rj78teJZ9LcB+hsB6ZOK rw7X/ATHM5praZuqCSo23cY132fWolUf1LU35o4fFFOsi65x/Zk4B9NY1T2V p23l3KeZ/55ke3DtXr57aPGc0uCk5UpTkbansdL2pfFPyT1Gv0mas2KTHYx9 K/jvIuTTpfcq/touuxU9l6oFvBGcXyu/eDP47yUUS6yKrpcoX74n+u85lMvc Ga2hK4acFf33H8p37orW0xVPvhKci8m3Ti/2u3JMxZaKMTdF69t9EuuFd+S2 ObI98mvSGKU1Ko6VpvhSdM1CYzRWdldap+KHGYUNUY4zs9gLilelYdYt7P/d 0XUyxaiKiRUbq5b6cnAOpVzvjsImKK6uEqzDa739Bzn9rrw= "]], Polygon3DBox[CompressedData[" 1:eJwtmgf8l9MXx5/n3vuUsv2NCJXKjBQZZSTZoyFJMhoUoSRkRIXIaJGyE1lR Ng3RorL3XsmWnV3+n/fvc1+vbr/7ued+n3nvOZ/zOU+jXgM6nxmKonhR/yX9 /VL/Pam/35VFMa0qijXV2qm/vsZ2jkXxk9ps9Z/S/J6yfa35M4VXaM6DwqXw h8JLZZ8pzEE/0J8lwk8JTxNuKHyC5p8q/IeON1/4Wdl7C38h+xPC38p+v/BX wk8Jfy/8AFjzHxF+SPNPFL5f9gbCx8veT3iV7O8KL5L9CeHlsj8u/I3s9wmv o3aw+htqbFfNXUu4vfAGwi2FV6u9p/5z+v2Tsq3Q758VXqk5jwh/L/yM8G/C Dws30/w91d9VbazaFNnb6O9OGn9T9heEB2v+gxq7Tvhvjb8lPF/Hf1T4Qdm3 ET5F9v7C/8j+tvAC2R8TDrJ/JPyC8CzhLfS3o+Z24J0I/yL7EtlXlb7evziv 8DzNe0n4Z9kXC/9b+nmsp3a4+htrbDfNXVv4QOH/Ce8i/LnmP6T+Fxq7V7Z1 1Q5VfyONtZL9B9kXqf9X6ev/Vvhp4V+EZwj/qznvCC/U+R8X/kn254X/KY1/ FH5O+O/S9xeFP87rb7bwd8JzhX+V/SHhJTre9cLjZT9KeKnwBOHrhLsIL9P8 GcLLNf8e4Tqy11J/U7WFamNk35C1xPuR/R3hGzX/JeFbhF/W/HuFJ+h4Nwu/ JftEnrfsNwkPEf6X+5V9tPArmn+f8A3Bv19LeA3Nra+2qPQ7591H9Yfrty+q f4/mXx98vPM1tornITxG+DXhK4Wf0fxJwq8Lj2I/CN8o/Gz09Y4Kxm/LPonn Vfp6XxY+j/0gfIPwS8LnCs8QniD8ovA5wtOFrxdepOPdLnytjrdU+H3ZJwu/ JfvtwnOjj39l8PU8F20fLfyi8JvC04VvEb5V+AP9/m7h9/X7ycIfJT/PD9kL 2KP3853B9k9kv1/4Y9nv4nkKny/8sPBE4feSr+9N4duEH41+HkOD7R8mP88P ZL+D9xX9/m8Nnv9x8vv5SPY7eV7R6/m24Pt7Vfhm4UnCR3M+4buEpwgfJ/xZ 8v19rt/fLby+8BbC3dkzwuP0dx+1vdWOYY3r78XsJf3dVsd6Q2NfCJfCM9Xe 0dgU4ckaP1a/f0Jjw4SD/haybaTxtuqvJ9hT53pNY7eof6PGu+KvNLaZcBf2 KOtD9luFb5L9GOFTZP+e5yH8jPBvrDnOn/3vesKbC3djD7OfhesLd8UH8r6i /f1dwc9zQ9kbC5/EHhL+n/BWwicK1xM+TfgH4U81f75wP+EVwl8JPytcO9mX EjOIHXWTfQc+F99bJ9n34nPwPWsk+x58ML74T+FXhSsd72nhlcIv8byy//td +GUeXfYXn+n6HxC+T/h44U+FpwnfK9xDeG3N31S4Mz5e+F3Z7xS+Q/buwruz f4U3D/anayb7Rnwevu8P4VcIY7LPYb8Lb1LYh+JLk/An+JNsXxk9/+ng+PC1 8KOsb+GThHsJ7yp8kPBOwi3UrtCxDtZYX9laCl8pfIhwP+GearvwvDR/R9l2 Vhsp+0HEDGzCo4QPFT5V+CSOof4Bmt+M+xGuLfsIjc1i7eKjg33QpORrGK7x /QtfWxf8nHBH4QHC7TVnPPGQc2ju9vgw9Vtr7FjZO+NTS6/xxdFjO6i/b/Bc fPa7pZ85vrwTe5K9K/x89D3vqf4Rwc/iGOHthPcW3la4m/D2wvsIb1fZ579X es8SC3gGe/A+gp9NZ+EmwrsLNxXuLtxMuK3wDsKdotf3bsJNuD7hpsJ7CG8t 3DF6vbcSblz5nENKXyPXwjWdV/qcXCvHvEC4TeFzVcIDWI+l/fvuyfudfb+v 8GrhgcIbs06E91J7TLaLNHa7xtrg84QvxKcJX5LsS4YLX6T+nmqX5nfZVnNb qV2vfjeNnaf5rYUfEb4AHyI8VPPPVv8BjY2X7ULhQcLThMcJ75G8NvBVz3Nv wn24FuHLOX6yf8PP7U28VjuT/VU6HrLGLlF/v8Jrr72e28VcGz5DeKxaL/V/ 1Pgizb1Wx1tf9p6sr+Q1PUy4XeG1zhrmWXYIXtuck3MPZQ+qf7V+s67wUax3 nkfl2EEMuZm9JXwdvln4XOHR+Bfhs4QH8+zUxqo/XMdfrLm7qU2Q/ViNDdH8 3YWnCPcVHik8Jjg2EgOJha8KLyt8DxsKH6b5z5feIzOF94v2Z1sH+8/D1RbD /XhnsrWL9n/byL6ZbPtH+8dthesLt4/2P9sJb16Zo+pPsWmw/zxQbZ6OdxXv RLaDov3bjrJvKdtBavNlv5o1F83p4PX1gv0tHFf/ik2C/e0BlbkGMZZYe2h0 vNhZ9kayHRwdf3YSbiDcWnhN4YbB8WMvOKTwVsHxsQ2cWrhRcLzZQ7iO8JbB /vcQYpj6y3lfurCDhRfo/NcI163MMWupv1mw/z1CbUlpDjhbtkOi41dz2RtW 9kn4pnEauzyZ09ZWv36wf24bHY+aBsevHfAXOWY35H1pbHbpPXV/dI5DPrRx cPyCE3xd2ofDFfDJ+L4jg301Mf1L2R8uHOuJKV+VzlGINcTwT0rHJGI7exTf 3j1477Lm8N3HBa/FjmqvlOYo86PjOvGdNb9B9L5kf+6kv70yh4FLwangNhOD uQ8cCK7KHiC2HBu8N24P5vZwIrgRcZx4vh78gvWpOXPUvwyfIby/8NP4AuHp wkcKLy3Nwefw/PTMry38DnmX+KRZOd5cLFsH4Zfh0sLzorkx+dFoYnq0T8Q3 XiL8n+a/q+v5Vv3veN7qt5d9ruwjhR+K5jyflo75cKGrgrk8HBmufFg0X2uh 8a00t9IxPxV+OfOJPdTu1Px+GrtCcxsQL4R747+CYx6x7yj1z2Fvs2+Cc8LV +XniW7pp7NzKa7ilfr919NpmDRJvLw1em/gE1tZlwb7iwsrxtZPGzkz2CTzr y4N9xZnCHYQ7Cw+uvMeJBZcE7332NLFiWPBeZ8/i6y8O3svsEd7VyOC9cwbv TLiT8NnCTYK5GXuCvTEhOl8YoPEriCXR+QKiwEj8dbS/P014hPAN0fnGQOEr wfBDuDprRnig8G+yfyv7pcRGze8h3EP4POE+wgcIH8KzFu4vfIRwR+FBleM5 3OYw4bOETxY+UPhQ4YHgynwZPWKf6DXI2rgieG0SwweV5ljE9h+j8+MngvWJ L6Pz+enB+e3y6HzzgWC+/3l0PjtNeGrlNVzoeEOC1/YX0fn/g8H5JhyqaWlf Arf6OFqvmBqc//ROXs+s67n4gmi95O7g/GR7Yk5pn/Saxn6P5r9zg/UGOBWx Y1ww14LfzhK+Jzh/+jY6H38kWN/4WX//KJzzbiLbL9H5wCyNT5f9t2j+PCc4 v8bH4HuvCfY9P0TrBY8H6y0rovP3x4L1oGuEzyD2Cg+vvKeJNVcH73U4HbFw bDDX+z463380WM/5NZrPzw7WC+Al8JN/1M7AF/EMCsdsOBI8Bb7yt9rpxDiN Nc7+gkB2tdrp6vaTbRjvS/hE4ROFL6jcrs18Fhtr8KrSa461yR4emfk3e/t8 7rH0HhwazQHgVicHcwN8BlzhlGBfMgROUnqPXRTtMy7OfAhfMiFZG4BznJTM ry/JfGcga1+tufotg/WrDsQg4V2C9TH2wLmZb7I3GEM7a1R4bj34Q36GPB80 JLSkbYW7yraXxvqW5tTHZMzxds/2M/E5wi0K87XGnF/4c2I67xofUvqaTsj2 5jkG9czXjPbWsPC97BqcK8Kh4dLwwQGlcxL44emaf3rpe+4h3LdybgaHgcsc GK2H7aDfnVJ5jHtpFjwXH3BOvn58w4xgbY49zd7mHtqqv3/wvXGOfYT3Cz73 1OT8nTz+osrvF67XB95aOUf7o7QmSe52udop6veWfWjlNXECzyJ4raDHkTse wRoovQaOl/344LWBRvm7xucV1i7x+T+pvzw4FpCj/lB6T7O3yWF/LK2xktvi 43i2jYN9H++Me2+T3/XRwrsJtxY+rbIPvbD0PeNbiSFDMx8nthADLiIXKRwb Rqn1V78v67LyO8bWLvjdo/Gu1vylhbXfZ4Jzc3wUvmpdtTVlX0ttvWgNt5bs rxXWdt9U/0v118ZnCz8ZrFXik/HN5CCrNfZf4dyEmN2/dM5GLCeuEl9bqDWJ 1hjQGn4hBgrfqN/sW/qd8m53jF63rN8The9M1mqOFh4cHa/hnq01dof68/DJ wTHpbNnfqqzr8Ju7kvW8GK25oO2iecCZyD8GaXwBMSM4xxlOrI8+F9d0d3LO s5HGNiidC42Jzv9+LZz/cA/cyzLWTLIGgbaLxoA2wfUdnTlaf7SPynkH+Qe5 FOfk3Ggw5EPklPhN/Ce5D5o02vQual15x7L9XHgNshZf4f0Ej2HbRL9/W/hr 4Q3QEpO5ETGeWP+q7GU0f5uIXiW8TPO7CI9gLSb7ZmIisfGW5HN3yc93itrG pTVVtFV+g62Vxm4XPiG5zzXflswv0daIkZPVH4f+UjomE5troc+VXoNXcTxd yxY65mbkDMkxl9jbKftbNDI4dWfhs6L1N9ao/tVw/3bJa4MYw/3trzZGtnrC 4+E2wXGV+Domnw/dFx+Pr+ecnBsOCBd8o/Jz5xncmrxmWDtw+r7CC2X/KfgZ j5Ntqtpq9f8snK8OzfyDe76XWIo/CdYULsjXh5YIfir6fRErB+Xj7alWV/0G wfoh+TzPnncwNjnfJ/YSQ8Zr7kS1ITwbzR9VmZ//Gnw9aBlwHLgO+VMt9XfW 2KmFOTXxkBxgu+h3xrvbJZmvommgbaAxoDWgaaBtNE/m4uTcxNfh+fl8Fry3 WibzXzQNtI0WyXyXnJ/cH33g7+B7apXXM3kD+cPJwocna/G8w4U69hXCdYTr qo1K1uxS9mdoeaM1Z2VhDguXRWNEa0TTo1axInMU9jB7GY0VrRVOQ+1rnWj/ 93rh9cgaY63BAfska5homXAwajvsMfbaN2q91G+h+V8V9pk9837AlzXJ++MF /X6N6BrHZcmc+7Ycj8vKNR9qP9zjlcl6P9yDGsVI4SXcr8aS8Ijkd8q7XZ3X E/pIVVrDhq+QM1XZn1d5vfbPHPPs5P2CL2iZ/enrlf00/vqmZP9Mrto8+0Nq JuRr5IPkp+Sr5Ifku+Sv1EiovdTUOKI5Mvks+S3cGT2GfB+OCdekBkIthPyP Wg4aNrUBahBo29QcqE3U1AyiOTP58rQcb+HA1JpqanrRnJRaVk0NKserH3I8 Jv6RQ6zI8Zr4BUemNgmnhzvD+al9kH+TC1Ajo1ZWU/PK8fP3zC+Ij9TAqIXV 1MiiNePfMp9BSyYHWJn5A/GWnINaV02NLrrmQa1kcuFaCPk9+uqUwnoE77tW 9PrHP6B51Y5+x7xrcoKfy1zDi67R4gzJGRCOqPG8UeaaTHTNqE5eU6wtNMX/ gn0UvgrN8M9gn4JvwV+tEv5L+Jy8futy3Xk/UlOihoZ+U6OvVeb4NT4N3y7c R/2tZT8gen/BOT7N65GaDvrcHYX1DHK2ZWWu4UT7322ic0jiP/GKnP9H4TOS 98vaMdc0o9dv0+gazIKYc8Iy1xijc0b0E/Qe+Cb8E/0HvQd+R82N2hs58ozo mhy1OXzqw9E1LHwXPozc/Vrhe0rn2JOFrxG+u3SOdVu0hoyWjL+hdkiOM7E0 xyT3qakRltYD0T/QZNFmB+T4Ss1zZX7+xCveFzkXNek1Kusb8LsXhP/T7w9L 3rtoNFMyn2qWOQ3chpxvUmkOTC5IzXlV5oerM58jZyMfqV255vxv5nvU5qlB UotEc3gwuiZObRzNYVq0xnBj6RwO7QFOekNpDQGuCkdH3yUng7tTo6R2in5J 7RLNYnJpzo6WwXpEMzuZZV3ZX/4RHCPhM+hH6KnksOSy5NB8K1DzDUJ0zZra dU0NPToH5tsIcnxyY3JavlWghkauiwYEZ0UT+ytZU7mjdI6B1kJMJVYSM4m1 5BTjS2tK5BrkJI2ifSZ8Fg4EF+IbA/gsmguxkpiJFoPGcpPwSTleEZ9uLs0J z8p8hf2Hf4dbXK35U0vnzLcIXyV8V+kcYFK0jxhWOEbgO+CscNff8/E2j66t E3+IQ8vwibLdr3OcoPnHJvs2fBy5zybJe7d3aT27fjSXIiaj/3UjBhfOech9 jkn2tfhccqMDkvUPNHb0M+qrIwpzLHhed9kXFM7ZyN02Tq7n9Cqtp2+UXA/q WVpvn5Wc+5Ozk5/NhCMU1gTQBs7RMbsWzgHIBR5PzqXImcidHiOfKJxjkWs9 laxXoSGgJfCdAdyQ+Eic/CZ4L8IpvodnJMfe2tkXV9G1nSqPzU7WEtAgyC/n JGsRaBgX5FgPFydHJ/8eneP3L8HcH/2HWgfvjLyDHIFc4+vg3OHoZC0bjRqt ukuy78KHoWWPKa0Fk2+Qd/TCv2f/8HO0T2RtN8m+8o3sy2/W3G7CnZO1WTRv tG/yY/JiagDUAvpobB2NvZ/9zVHJ6wdNF223U3JsJkajbT+RnI+Sw5LLHprs m9HI0au6Cj9WWKNHq38jeW3WybHquORrx8eRy3IPrLeZ+d7eTOZGa+VYtDDH StY2sapHMpeD05HbHplcy6TmiR53RHKsJeaid3UUnlq4RkmtskNyrZIaKLXQ 4/R3ndKc7y0d86PgWhg5IHntk8m5OhoSWtLg7HvJIYhl5Gc9SmvcfyfXfNB3 0EjQSqjR9Cut91C7oSbDtwvUdKjVUNNEj0HvQZ+hRsO3AdRUqN2gD6MvNSys PbBn2bvsKWpT9yR/q4AGix5BjYtvBdB7ampflb9VQM8h97hP8+sV1njQb6i5 DiytB1GLRS9Cf0JfQs+ipsS3CdScqDVRM+K39fL6IV+ECzfIsfyRZP0DTQht iJrvWaVr5tSCx+Y9ST5EIY2a0amla8rUkh5KPjfXgF40I1mbQvNC/5gOfy2s WaEfURM7rXSNm1oZGlXHfH1oV/gcfA8+h9oeNSf0sEaF9fbFyb4WH4wvXpLs i4n5xP6lybEfTgA3WJQcO/D5+P5Byb6FvY228FzOn4gpxJa5ybGEGEmsJOfu kvcyWgL1S2IF+T55/+nJXOjznG89L3xa4ZhAbMBn4jsbF65dLkyOrcQ0Ytsz wscVjtHE6keT9Sk0RrTL2uhjpfMR8hJyanLrLTPXm5/MJYj5xP4FybGaGE4s JychdhHD4JLzkrkPHAQuQg6JdnRecG75bDJXgCPBlZ5O9ufEWGItOfGg7JvJ Zdh/aCfES+ImPr95tE8nFmyRvFbZM+wdNIR27P9gbQH9hvzuw2Btinxuy8J7 lL3aW/ZW7EXZm1f2efijxcG+cOvkby+ogVML3zJ57bJH2CvbJdcL+UaE7yO2 Sq4/8k0C3yZsmryW2fPsfXzwZ6V9Kr6Z/JPjvx+sfTRL5k6sD+qBDZJrJewZ 9k7D5OulhkItBT6CVsozrKP+NrK3L/zNCN+OwMnRqrYP5urUV9F+lheuZ6BJ nlxa00WrPCQ51yPno15ADWhw6T1MbQh9hON/HKy1bZ9cH+WbGOqtjZO/D+Ab FL4vaZr8PtDU+RahifBehb/J4NuMHYQPK/yNDN8TdInmI3vq+NtUficjSp+T d0W8Jl7Ct+Hd/ybvFzQ34mfr5HodNWNqx/ukzL1L19/QHNAeWBPoef8k1x6o +aH37psy1yxdz2ubXH+hZk8978DkWjffDFAP3BwOXlgTRRs9WPiGwjVY6l2N kr9N4ZsUvk05KLk2S82c+t+OyfUKvhGh3gxH+6l0DIS71U/WWvFp+Daeydml 1wDPam84bOEaLLXY74K1ETgNecZmyb4Qn4pv3Su5HkfNmNrxTsLdC39jQX27 XnJsImYRu3ZN/raDb2D4FuaLYG2SZw6vbZNcz6QmTW162+RaDXyL731WJecK zIUL/x9ASZDR "]], Polygon3DBox[CompressedData[" 1:eJwt13fglfMaAPBzfkPDvqVkh8oOJbeN9t5poyWJrITKRVFULi1FpbRoSYu2 W9oD0UKl4UoDlazq8nnue/54Ot/n833e93fe93xXRdt3b/xwViqVWi5yxa85 qdQG8A+xU54l3yqGy79Op1JT2IbsVGoze5ltYCPZUtaafcR+YovZUTaDlWc9 WBnWjLVhH7Pf2Ar2OzvNDrJD4mE2mP3ONskLit0sR/6z+ESeX2xlJ9Xdzd6N GvebzvaweawRG8jqsQfZXNaQvcLqsm7sOFvD/krHw/r+XkI+dqF2tXTyTkqr +5A1YYNZA/Ywm88as0GsPnuIfcBqsb7sBVHSDWaz2qyfvJq6jurmsDrsRVad dcp8l7XsXHGO6OjaLWyY9lfqJqvbqO4YW8XOEtvZafYLWyc/L36nVLysVCqP KCS/07VKUrf6pxX7gB1gc9kP7BQ7wA6LE+xVlpcVlldJ//9WqVKspcYs9j2b ww6w39hGVkDsYtnyt/lYsU67B6/gOU5or9c+X3yjLi3/RkyUH3S/+exr15xk +9l34h72LPuezZOfVLeaHWH12etsDRvG1rJtbETcn73LNrFPWR+2jA1gc9l7 7AbWmZVg1dmT8dvLPxS/xnhV04930t9eXlQ7n+d4l18v76Suo7iU/cAWsJ/l R8VMNkX9ZNFL31/u0dtnMzE+fjM1E9kO/U3ZOLaNTWDbWXP2DtvBJrGvYvyJ PtrX+LxW5Pc3pqq7VV03dTfpq8+HsiLyS7TPEC/IvxVT1e3he+Oerh0SY1z7 YjVp8Zx8miil7qEYt+5Xj/eP+RZzlJ0tHyD/p+ip7iJ5Yf66fKj2EzEH+O8i y9+oyvtqn6mvr74FPnP5SVZEu5Br3/E5NX4TsV790zFe4/1pX6XdVs3lrq2s vwl7k33OxrIvWMP422wdG8HWs6/ZBPYDm8e+YQ3YELaWDWfr2C3ssVgP/L2R 8lGiFhvIlqsbFOsi6xJjNdZE7XP5QHkL8R77Vj5D3V593diemAva58X18jE+ R4t9sS6quzfmMh/rcz9/n21RX5sNYivYYLaClWGntZ+O55FPFDNjTRUbWa+Y n757Y+1R2p+5doz6zfpniffFJn299VVVN10+TWxgz7C7WCPtkdqfxvd07ef6 P2cD2Hr2BlvGtrPRWcn4iXHUwrU74vnYvhjz6r5UV4+9xlazoWwN+5K9yr5k b7OX5NNFOfYEezzmofuVZJ3YMHlLdf1jnMd4ZjXYGew2dgNryfqzWqwnK8Fq sMfYbawDK8aqsUdYKXYfu5G1YgNYbfYUm5CTrMGxFpeM9yy/SbRW9zKrE78B fy0nGbMxdk/pOyPWg8wciLnwP5aHdVb3lfbzvKpr74+xp/8C+YWxZupLq9vH Z2r/wpep+07ffjY7K5lvMe8OsUvYLawNu4zVZZey29i97CrWiF0Rc5N1YMVZ 05hvIifW8OxkbYs1rpC6a9TVjra6qvouZ7ez9qwYa8JG5yT7VexbJeRj5JeJ MuruY1fra8wvZDeypvEeWM3MeHmLbWZfxLj0vBezm1mrWDfV1VF3ESvJWsSa xWqzIvH+WfNYn1gtdjW7gz3IbmStWQe2jT3HqsS+mpOsz9exBqyh6JybrH/T spK1Odbodpk1e2FWsufH3t+eXcBKyGvKL9BVJbMvnMhKDkexnse6vifGLzum bomufewgWxS/a5yJ2DF2mC2RZ4tN7Bd2gM2Xn3LtGvYjO8KWspyYh+wE+47N kf+hbiU7yA6xxbG2io3sOPuMPS//JJ2s+7H+FxbXsrrywuqqZSfzrWxWsmfF 3tXV8xSPcc8elZeOfU7dNawu68nKxtjNTtaxWM/+HftH7A9xf1FP+ylWTl0X dbvY5DhHxDhju9j1rAF7hlVgXdleNoMdZ0vZfnYdq8+eZuXZA6yiOCfWR75V /KnmR7FcO2+sJ/r+UDMuxq7rrtPeHO8s9g5RWbsrv0FdK30/sRUsn9jC/mTl MnvO0NxkbYw1ciV7hL3v2ifVDY/1nBVld8c+yCqwSuxZNpv1YvPYW+JNsTqz t5R13/O1r9RumU6eJ56rYmZdHqH/A/lscQd7js1NJ3t97Pk1WX+2lPVnS1i1 OJuwRawfW5jZu2IPW6PvcX3l3Ley9r+056jrrW6+/lXsUTaL9WQj2M2sMxvO WrEB2ck5tmZWsjbHGt3d/WayO1kveUV1bdV9FHshG8Kasx6sTk6yD8V+VCze h3yWqKKuD6usrx0/k13EarE8rAw7i13M6rC87HZ2a+aZBvoOo2MdEgVZcVZd XUF1d7ErWSX2ALuetWQFWLHY/1gBdif7L5sb44mtYodjr2R3sd6sEmvDarCX 2BL2Eluc+dvxHdbqe0Jfed9phXb8J2pGOjkDxVmodE5y9h2sf5x8vFjG7mcT Y/6pe4V9zLqwSexB9jJbyjqy8bF+xb7EPmHd2UzWgw1jpTLfYVBuct6Oc/dR tjLOXGKbulOsKKso7xJzhLVgu9kUdoQtYLvZTjaJHWIfsp1x3mFXsGbsLFY+ 5iS7nDVhZ7JybAnrwMalkzNznJ0rZM4ow3OTs0icSaqzF9lidS+qW8T+wx5g k1k3NpAtZ13ZFPYQG8QWs3vYqFjDWR92duxJrBHLz8qyujnJ+TDOidny5+Xl M2eeYbnJ+SnOUQtZW/aGujbqn2ELWJuYl6w168UWsXZsJGsbZ3n2N//g8jE= "]], Polygon3DBox[{{1138, 751, 412, 413, 752, 1139}, {1081, 632, 767, 1288, 937, 938}, {1235, 653, 467, 466, 778, 1156}, {1130, 734, 386, 387, 735, 1131}, {932, 931, 1278, 754, 755, 1279}, {929, 928, 1283, 761, 762, 1284}}]}, Annotation[#, "Charting`Private`Tag$41780#1"]& ]]}, {}, {}, {}, {}}, {{ GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0jkvRFEYBuAzdmPGXlqisZPoiYiIiCFBRJhodERoiVosP4CEmp5QioJO NHZjbJWIP6D03Cje83xf7k2+c869DXPL40uxEMK6tCqiutHyxa7cEMrZy3qO spOz7OEiU1xjmttc4B73ZVV9wk2ec5fXPGSWp/zhJbfyQoib2y63+mbWSGFO CHf6It6zmA+M85ElfGKCz0wyw1KWyYu6nFlW8JWVfGMV31nNj+g9e0mY2SGf +hbWSoG93eh/Pb/gN0+Y4QGvuMMzbvCYR7Ki3uU8NznDVQ5zgd1Ms4Mp1nHO rG+2mVvGJpZKOlI/zSSnmOAkSzjBOMdYHH0rjkiReji6Rw5FZ+Eg8zlA40I/ jQ99zInuSZOM/f8Pf63VNWY= "], VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{817, 1121, 533, 816, 1291, 1031, 818, 1292, 1032, 819, 1293, 1033, 820, 1294, 1034, 821, 1295, 1035, 822, 1296, 1036, 823, 1297, 541, 824, 1298, 1037, 825, 1299, 1038, 826, 1300, 1039, 827, 1301, 1040, 828, 1302, 1041, 829, 1274, 1303, 1042, 1122}, VertexColors -> None], Line3DBox[{831, 1191, 1381, 830, 548, 832, 1304, 1043, 833, 1305, 1044, 834, 1306, 1045, 835, 1307, 1046, 836, 1308, 1047, 837, 1309, 1192, 1382, 838, 1193, 1383, 839, 1310, 1048, 840, 1311, 1049, 841, 1312, 1050, 842, 1313, 1051, 843, 1314, 1052, 844}, VertexColors -> None], Line3DBox[{846, 1194, 1384, 845, 1195, 1385, 847, 564, 848, 1315, 1053, 849, 1316, 1054, 850, 1317, 1055, 851, 1318, 1056, 852, 1319, 1196, 1386, 853, 1197, 1387, 854, 572, 855, 1320, 1057, 856, 1321, 1058, 857, 1322, 1059, 858, 1323, 1060, 859}, VertexColors -> None], Line3DBox[{861, 1198, 1388, 860, 1199, 1389, 862, 1200, 1390, 863, 580, 864, 1324, 1061, 865, 1325, 1062, 866, 1326, 1063, 867, 1327, 1201, 1391, 868, 1202, 1392, 869, 1203, 1393, 870, 1328, 1064, 871, 1329, 1065, 872, 1330, 1066, 873, 1331, 1067, 874}, VertexColors -> None], Line3DBox[{876, 1204, 1394, 875, 1205, 1395, 877, 1206, 1396, 878, 1207, 1397, 879, 596, 880, 1470, 1123, 1124, 881, 1471, 1126, 1127, 882, 1474, 1130, 1131, 1473, 883, 1180, 1181, 1491, 884, 1187, 1188, 1493, 885, 1208, 1398, 886, 1332, 1068, 887, 1333, 1069, 888, 1334, 1070, 889}, VertexColors -> None], Line3DBox[{891, 1209, 1399, 890, 1210, 1400, 892, 1211, 1401, 893, 1212, 1402, 894, 1275, 1403, 1134, 895, 719, 1125, 1117, 896, 1472, 1128, 1163, 1129, 897, 1475, 1132, 1164, 1133, 1489, 898, 1183, 1118, 1182, 1119, 813, 899, 1190, 1177, 1189, 1404, 1289, 900, 1213, 1405, 901, 1214, 1406, 902, 1335, 1071, 903, 1336, 1072, 904}, VertexColors -> None], Line3DBox[{906, 1215, 1407, 905, 1216, 1408, 907, 1217, 1409, 908, 1218, 1410, 909, 1277, 1411, 1136, 910, 1276, 1486, 1165, 1135, 911, 749, 1137, 912, 1477, 1138, 1139, 1476, 913, 1142, 1174, 1412, 1281, 914, 1143, 1413, 1282, 915, 1219, 1414, 916, 1220, 1415, 917, 1221, 1416, 918, 1222, 1417, 919}, VertexColors -> None], Line3DBox[{923, 1337, 1073, 921, 1338, 1074, 925, 1339, 1075, 927, 1340, 1076, 929, 1284, 1341, 1077, 1168, 1286, 1342, 1176, 1078, 932, 1279, 1343, 1079, 1146, 1478, 1141, 630, 935, 1148, 1151, 1479, 1080, 1169, 1150, 1344, 1081, 938, 1345, 1082, 940, 1346, 1083, 942, 1347, 1084, 944, 1348, 1085, 946}, VertexColors -> None], Line3DBox[{945, 1430, 1230, 943, 1429, 1229, 941, 1428, 1228, 939, 1427, 1227, 937, 1288, 1426, 1149, 936, 1287, 1425, 1147, 934, 1280, 1424, 1167, 756, 933, 1140, 1166, 1487, 1278, 931, 1145, 1423, 1285, 930, 1144, 1422, 1283, 928, 1421, 1226, 926, 1420, 1225, 924, 1419, 1224, 920, 1418, 1223, 922}, VertexColors -> None], Line3DBox[{948, 1231, 1431, 947, 1349, 1086, 949, 1350, 1087, 950, 1351, 1088, 951, 1290, 1352, 1089, 1184, 1273, 1353, 1179, 1185, 1090, 1175, 1488, 1152, 1170, 1091, 952, 1481, 1154, 1171, 1232, 1480, 1155, 1120, 1173, 642, 1172, 1157, 1354, 1092, 953, 1355, 1093, 954, 1356, 1094, 955, 1357, 1095, 956, 1358, 1096, 957}, VertexColors -> None], Line3DBox[{959, 1233, 1432, 958, 1234, 1433, 960, 650, 961, 1359, 1097, 962, 1360, 1098, 963, 1490, 1178, 1099, 1186, 1492, 1153, 1100, 964, 1483, 1156, 1235, 1482, 965, 1158, 1236, 1484, 966, 655, 967, 1361, 1101, 968, 1362, 1102, 969, 1363, 1103, 970, 1364, 1104, 971}, VertexColors -> None], Line3DBox[{973, 1237, 1434, 972, 1238, 1435, 974, 1239, 1436, 975, 663, 976, 1365, 1105, 977, 1366, 1106, 978, 1367, 1107, 979, 1368, 1240, 1437, 980, 1241, 1438, 981, 1242, 1439, 982, 671, 983, 1369, 1108, 984, 1370, 1109, 985, 1371, 1110, 986}, VertexColors -> None], Line3DBox[{988, 1243, 1440, 987, 1244, 1441, 989, 1245, 1442, 990, 1246, 1443, 991, 1247, 1444, 992, 1372, 1111, 993, 1373, 1112, 994, 1374, 1248, 1445, 995, 1249, 1446, 996, 1250, 1447, 997, 1251, 1448, 998, 687, 999, 1375, 1113, 1000, 1376, 1114, 1001}, VertexColors -> None], Line3DBox[{1003, 1252, 1449, 1002, 1253, 1450, 1004, 1254, 1451, 1005, 1255, 1452, 1006, 1256, 1453, 1007, 695, 1008, 1377, 1115, 1009, 1378, 1257, 1454, 1010, 1258, 1455, 1011, 1259, 1456, 1012, 1260, 1457, 1013, 1261, 1458, 1014, 703, 1015, 1379, 1116, 1016}, VertexColors -> None], Line3DBox[{1030, 1162, 782, 1029, 1469, 1272, 1028, 1468, 1271, 1027, 1467, 1270, 1026, 1466, 1269, 1025, 1465, 1268, 1024, 1464, 1267, 1380, 1023, 711, 1022, 1463, 1266, 1021, 1462, 1265, 1020, 1461, 1264, 1019, 1460, 1263, 1018, 1459, 1262, 1017, 1485, 1160, 1159, 1161}, VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{321, 534, 1291, 322, 548, 350, 1385, 563, 365, 1389, 578, 380, 1395, 593, 395, 1400, 605, 407, 1408, 616, 421, 1419, 627, 1338, 434, 638, 1349, 448, 1433, 649, 460, 1435, 661, 475, 1441, 676, 490, 1450, 691, 505, 1459, 706, 520}, VertexColors -> None], Line3DBox[{323, 535, 1292, 324, 549, 1304, 351, 564, 366, 1390, 579, 381, 1396, 594, 396, 1401, 606, 408, 1409, 617, 422, 1420, 628, 1339, 435, 639, 1350, 449, 650, 461, 1436, 662, 476, 1442, 677, 491, 1451, 692, 506, 1460, 707, 521}, VertexColors -> None], Line3DBox[{325, 536, 1293, 326, 550, 1305, 352, 565, 1315, 367, 580, 382, 1397, 595, 397, 1402, 607, 409, 1410, 618, 423, 1421, 629, 1340, 436, 640, 1351, 450, 651, 1359, 462, 663, 477, 1443, 678, 492, 1452, 693, 507, 1461, 708, 522}, VertexColors -> None], Line3DBox[{327, 537, 1294, 328, 551, 1306, 353, 566, 1316, 368, 581, 1324, 383, 596, 398, 1403, 740, 741, 410, 1411, 746, 747, 424, 1422, 761, 762, 1341, 437, 808, 809, 1352, 451, 652, 1360, 463, 664, 1365, 478, 1444, 679, 493, 1453, 694, 508, 1462, 709, 523}, VertexColors -> None], Line3DBox[{329, 538, 1295, 330, 552, 1307, 354, 567, 1317, 369, 582, 1325, 384, 727, 1470, 728, 729, 719, 742, 720, 788, 1486, 744, 748, 745, 425, 1423, 763, 793, 764, 1342, 800, 811, 721, 810, 722, 1353, 806, 804, 1490, 805, 464, 665, 1366, 479, 680, 1372, 494, 695, 509, 1463, 710, 524}, VertexColors -> None], Line3DBox[{331, 539, 1296, 332, 553, 1308, 355, 568, 1318, 370, 583, 1326, 385, 730, 1471, 731, 786, 732, 1472, 743, 733, 411, 749, 750, 790, 1487, 754, 755, 1343, 438, 768, 798, 1488, 769, 795, 770, 814, 1492, 771, 465, 666, 1367, 480, 681, 1373, 495, 696, 1377, 510, 711, 525}, VertexColors -> None], Line3DBox[{333, 540, 1297, 335, 554, 1309, 356, 569, 1319, 371, 584, 1327, 386, 734, 1474, 736, 787, 737, 1475, 739, 412, 751, 1477, 789, 753, 791, 756, 765, 1478, 758, 439, 772, 1481, 774, 796, 776, 1483, 778, 466, 667, 1368, 481, 682, 1374, 496, 697, 1378, 511, 712, 1380, 526}, VertexColors -> None], Line3DBox[{337, 542, 1298, 338, 1383, 556, 358, 1387, 571, 373, 1392, 586, 388, 807, 1491, 598, 400, 812, 813, 802, 803, 609, 414, 1412, 759, 792, 620, 427, 1425, 766, 794, 631, 1479, 441, 723, 797, 642, 453, 780, 1484, 654, 468, 1438, 669, 483, 1446, 684, 498, 1455, 699, 513, 1465, 714, 528}, VertexColors -> None], Line3DBox[{339, 543, 1299, 340, 557, 1310, 359, 572, 374, 1393, 587, 389, 815, 1493, 599, 401, 1404, 801, 610, 415, 1413, 760, 621, 428, 1426, 767, 632, 1344, 442, 779, 643, 1354, 454, 655, 469, 1439, 670, 484, 1447, 685, 499, 1456, 700, 514, 1466, 715, 529}, VertexColors -> None], Line3DBox[{341, 544, 1300, 342, 558, 1311, 360, 573, 1320, 375, 588, 1328, 390, 1398, 600, 402, 1405, 611, 416, 1414, 622, 429, 1427, 633, 1345, 443, 644, 1355, 455, 656, 1361, 470, 671, 485, 1448, 686, 500, 1457, 701, 515, 1467, 716, 530}, VertexColors -> None], Line3DBox[{343, 545, 1301, 344, 559, 1312, 361, 574, 1321, 376, 589, 1329, 391, 601, 1332, 403, 1406, 612, 417, 1415, 623, 430, 1428, 634, 1346, 444, 645, 1356, 456, 657, 1362, 471, 672, 1369, 486, 687, 501, 1458, 702, 516, 1468, 717, 531}, VertexColors -> None], Line3DBox[{345, 546, 1302, 346, 560, 1313, 362, 575, 1322, 377, 590, 1330, 392, 602, 1333, 404, 613, 1335, 418, 1416, 624, 431, 1429, 635, 1347, 445, 646, 1357, 457, 658, 1363, 472, 673, 1370, 487, 688, 1375, 502, 703, 517, 1469, 718, 532}, VertexColors -> None], Line3DBox[{347, 725, 726, 1303, 348, 561, 1314, 363, 576, 1323, 378, 591, 1331, 393, 603, 1334, 405, 614, 1336, 419, 1417, 625, 432, 1430, 636, 1348, 446, 647, 1358, 458, 659, 1364, 473, 674, 1371, 488, 689, 1376, 503, 704, 1379, 518, 782, 783, 784}, VertexColors -> None], Line3DBox[{519, 705, 1485, 781, 504, 690, 1449, 489, 675, 1440, 474, 660, 1434, 459, 648, 1432, 447, 637, 1431, 433, 1337, 626, 1418, 420, 615, 1407, 406, 604, 1399, 394, 592, 1394, 379, 577, 1388, 364, 562, 1384, 349, 547, 1381, 320, 533, 724, 785}, VertexColors -> None], Line3DBox[{527, 713, 1464, 512, 698, 1454, 497, 683, 1445, 482, 668, 1437, 467, 653, 1482, 777, 452, 641, 1480, 775, 773, 440, 630, 757, 1424, 426, 619, 1476, 752, 413, 608, 799, 1489, 738, 399, 597, 1473, 735, 387, 585, 1391, 372, 570, 1386, 357, 555, 1382, 336, 541, 334}, VertexColors -> None]}, {}, {}}}, VertexColors -> CompressedData[" 1:eJztfXdQlUmzN6Iii4oBBUwoJhQxK4ZFW1HBHBDMyq45goFgFjCgq6KIYgZz zgEVDoiKKKIkERE4yCGDAV3XhKze53n5ne/Wna9av/Ne3d2v6v3rVHV19fT0 9HSY+c1zTCc6203R1tLSelReS6us9Pu6r8Jqb4t0sjxbeMowOYSyvvgcG6rM oD9sS+lOoA/V2vQvOsd/gErp1udL6Rllv87/T6Nrqr+m9tGUX1O685VhN/ZI 9LRele/K9HdjXZQyfdqq4U19JfqgnD4OtSR6s6txSQ4S3SWxevF0ib72Tyfz hhJ94+hA/WkSvZ9Bvp+tRLdSDPdqLtF9R3ZwdP0KPyef0+d7zfd72XN4r/M5 sp79PlQOl+mHFigfyPQ5+b+v3iHRb+6kICOJXjPl7mk7iX7L8e0kS4m+okNw v5YS3a522dClEn2ybnZl26bp1Nt1a+VeT0LotyW/td/1NIN+7aN/ckfNdGpw b+P7F2khVGC/f3F4bgZtX6Y3/bBuOmVdC1BFPg2hExNXTh70nOdXy+8jyOf0 4fTn5vuj9wunT5hVNXfZf1rYre4l+8/qax0vyf5z5OyUtJ8lOzzu2NdRWxlC W5zW9cyX7PDB5jf3s9ZK+hDp3WNQRQWd/DDtcZOeKqqtPfWk1fMUmt+z6USV j4KufTnS8VDPTPoQ46of4/CEgqqWC+6WryDHcytHJxVlkqHAHwz+94x8UR9f 6MPpz833e9mT21+cP3D27OHcsvhqUiqNWr6h1fCxClrn89SysVJFF0pyHYtq JZDh81b5gZ63aZ+tk8nGxFxquzjb7vTGOBqU7aI6OjuN3Mbqd/r4sID6d31R y+F5AjUvmbVwwXMV1Ro02yS/dT51AP8E8LuC/wzkN4X8Q5DfVdBnPfQ5Cv2T Bf25+X6v+MPFN26/q/3zPfznBPznPOZbS7Bn4W49Vd7Ux7QlPaqMmXEOzXde 4Gs8I5vcoq2d9afk0FX34ak3I/Nojcvotn/4JtL9GtkDt2zJpd/L3pm952Ye KXs3GVut0UOW/y3k+0P+dMg/Bn2soM8J6PNO0F/t/1z84eyjqZ25/MLFQ2Nm /6r9c6Dgn0sE+3jAPquefxxhPymDQtrs6v5mZB49N07SmTAojfzWdaiSZZhI g808J9eqlkVTt2Ta3emaR0vAfxX8ZWuV8rsK8tdCfmfoMx/6uECf6tDfBfor oD83X84+mtqZy+9cPipC/LyC+DkR8XM49ntH7Pfq2O+R8M838M8s+OdWwZ5T YM/zTXq19z8WT/0java9ZHiHAi26tMuyzKNl4CfwLwL/A8h/Lfj/ROhjA310 oE8m9A+G/tOhPzdfzj4/2p+5fNQe/jNGiJ/LBX9bCn/zgn8Gwz9fw599Yc+B sOd02NMN/EHg14c/ewvy50N+V+jjAX0WQJ+qgj+HQv9fhPnmf2d//lZ8FuOV mN9PIb6dQjxsg3h4BPHwM+LnDsTPSYifiwT7eME+UUJ8VsE/ufhTZk+p/J2Q /wvkH4A+Q6HPGSY+q/WfwuSj7xWf/7f1hrpe6iLk99/U+R3z7SHkI3X8XCDE z0nY7/2w38tjv/8M/jXgnw9+tT3tBHt2gD5joM9G6HOYqZe+V73xV9fPavu/ Y/y/JpOP8hE/ryJ+Tkb8rMbs92/Vz2L99nfVzz+6H+T2IxcP/Zl8xPFz8v+u fvA/5xt/7/nGf87rvq99BtVLXtBwlNTvFuQE/34rj4zOj31pN+Mh2Qn06qCP EOiVvkH/0fYZZ+d9cMebREpfqVxZOTCLLjSxNb28NJfc7wwoueaiojWelbeV eObRmy/j1nWemULuyz5/iFqTQfWPhp9u4phHfYJM29zTTaM0d2VeR5ssWjvg ZFZjqW4xim1ZuQ09ZvljwL8G/K3B/yv0yYA+Z76hj3HyBavqFXKp48xiVWaE 1A88bfGl+/2HlAv56yC/POQvgz4NoM/P0EfH7XLmHc9cCj5cfYy7ZP99DqFB HpYPSbfb6/lXLeLo7pF7F9/2TqHwx2fNo14XUHnQg0C/AXo50M+CfhN0LdB3 gn4L9Hjo6Q09zaHnGuhpCj3NoSdnzzjBni0hZ+rMR/n7T8ZS6kaH6NVhCXSp o/vH7LEFrP09hHEtIb+KYGdv2DlJWPeGkLMOchpCTpNvrLs+5HeA/HWQv16Q 0whyFsFPXsFPdsFPFgv0HaD/0+JSWcHfDsHfPrn+T/pp0E0E+7jBPur1zcH6 BmF9J4H+AfRg0Dl+zv+1QA8B/SjoJa7/k34S9C8C/fg3+H/Dvl6HfR2Pfb0G 9LWgJ4P+T1tHPayLJdZlA9alurBfVoNuINBXfoP+T5uvpvRZ2I+52I9HsB89 hPXNxvpmjrx/9IlxLu0/Z215RrLDhfyi9A1BD2ke5BRCzj7IWS3ISYOc6eDP Bv8x8HsK/CrwZwjjXsK4nP4rBTnpkJMPOQcg5yTkLI7y73H6hYqmp74dfMEv j5o67M1asv0Jy9+9V1WPF5GppHOxwEdX2jdP9u66vc5URTFeZZZFZzyllPXZ j0e1zaN278pmzXBUUt3jOlv6146nydtOPPrZIIr0Ui/2GXEhj84ZhZ8Z2SOO Isy1t++5lEJOq3/fG/6sgCLTkvrE/ZZEdleqLHx3KJv848KflDPJ+W7rntOr lD7sXCm9kva/VzdO3qJsJdOTxr8/K9ODH3qc+Rr/wMntpsn9yzQP7VC5f1n3 +V3w1/rBWaN61fGW6ONabP6tjkT3/CWi8Ziv8A9ZOujBZIk+Ydusmo0k+qCP 55Onf8fzVU3la6q/pvbh7P+91pejTwLdAfQG/2af2Cfz7Z9y/9VQ52qwTPdX uN2S6av6pzTfJfP/+Xy0bIeTfnEfh0n0Wo3/cJkm0U3zSlbI/V2H4imX5f7u S/qZg+Oap1NUJYsF2yT63XTXKNv0DDq0vZVrnYbptORe9bstU0JI1Xbo7Umq DJp+/7R1sUE6GefH1uinDKH9/kqj+Xn8+TnHz8nn9OH05+bL2UdTOx9btzl6 p0S3qXbMSZY/912XhrJfNVAerrtVopdruf6MsUQPybnvay/R27mFHJ/aIJ3K REyN3yjNq+LWp8UmmRk0dbqfpW2kknpVCl8w4WUIjc1UjL6uq6Lwjp4R1U+n kf+Uor7tLBTkHPzeqY+nii5/uvPY6VoKjflk+qLSLgXFbGu4eObI//s+dwLO oy4x/Jz8KYw+nP7cfDn7cPZ8rHc9Tl6Xsq+PRcj0l2cfJ8n0M64DPw2R6CM/ DD5uJsufWf/2PIl+3vfn2EX10mnE23bu7VJDqFj/cZFjVgbN39RvVvHbNDIa UxhpXldBG5d3sNKZqKI9Zz3sZ1Z9TLWdT52tNj2UksMGapUvyKJfMl3LWujF UVh+wrv2pg/IO3xdDaOD+XRqZ58oz7A4WqFY2sXTS0m+1/N83kYUUD+crzbD +WodnK+eBv9a8G8Gv1q+AvLXQH6AoM9j6DMX+htDfx/oz82Xsw9nz5KDDY5v kehay7pqyec2Jst128rnNlPyvvjtNEsn23iPwA8S/YLeuLo/Pc0gz6JnQ3R3 KMl+7ew56z6EUFjBH4t866roZZt9Ou9aJdGpSY4+B3eG0ujRlw2O9Mum7ROO 7W0cHUtLo5aG1T2XTFNza5w6XqGQjNzq37c6lUOde5X9VHRbqntnX7Az+jmR vD2XGF4OSKOi503m9jmcS0v8+jYv2JdBLlYjnrv1jaV4o41tH1xMotXll/cs 1CukfIx7BuOOw7iintehJzcvzg7Ha073cpboh5zDghtI9DE2yp6TJXqTGbFh leqk0ydDm3Ihkv2rJe2rPzM7g+zq9GlxvU4aXarRsnbTgQo69XRVrM91FV0z v/WugVEcpX0wKTvr/H06k7j0uYVfPjmuW/3+cFAS6VVr+MLsRjZ1CJ35rPeH bDpkR4+SM9LJwrj+T+N18ijh4eVzPpvTyR/3U0NxPzUJ91N7wG8O/jTwX48v dqgalEPvXx1JT5DsXOmE9Y5arRNpFMbVwbhdMW4Q9MyFnueh5zBmXk0FO1SH HTi7tQnR7mcn0Yf4HTGT/fPXAMe7c+V+MKvMm0HV0mlRcfS6p1L8zwpsPWl7 fgbN2Vw5Lt04lZpVTW9WbbWCuvsd/NOrVSbFzum89KhfLOmVSa/offEhjXbN 2We5poAeFE1uZ08ptH/dsjHmerk0ryCxXQxl0tnmihpTYjMp2uSKxfVLeeRp +WZ3B/1kWtr05wUHeyWQ5fr4grjaKrKIL/uu0eV8CgZ/DPidwR8P+Qcgfw7k x0AfA+gzBvpMhf7NoX8P6C/ONxvz5ezD2ZOzP7del7G+BcL6ToY/VIY/tIY/ BMCvWsCvkuFX3D31VvA3B38O+O8LflhyvNQPJwnjtsG4F6HnH9DzMvQcgnld xrxOY17q/Vj8/+iHmsa9FUw8yRbiz3jEnwDEvc2Ie1MQ92oj7nVB3HuAuLcF ce8V4p4L4t4uyFklxM8MYVxHjKvW0+F/Gfe+V/51EvLvJuSvjch3Jsh36ch3 jsiPn5AfNyA/XkQ+PYl86oN8qsYz2Ap4hsvgvyzwc/J9GH2chPy7icm/H7+R f5NgT23Y8wXs+aPrycmo33qjfhuH+k0h1HtzUe+dQX04DvVhPOpD7n7zlMCf AP4wyN8uyFfrY/0X15N/d3+0VOhfpjH9jvp+M1Pojzh+Tv4/rT/6XuceXP/O nQOozxMchfOEb50/iPycfE4fTc9tfvT5wI8+r/in0f+u+a79pPNF3i+bipf8 a788P1vmX/vFvrzDJdlPmmVWOiX7ya8H8nbKfpJVs7rFZom+/tqADXL+tSln YD1Cokf0PuAt5+VGl7ZXkOm58yfR1/BInRqX1jnzZpfWOSY9SuucpJQXLeT4 ua1K65Ny/KzTtcd6OX7q3tpZJOu53DYjVJYza2hA1F9hnyslVUvkcQsPNAyR 6a822UTI9Jedew6W48/Has+H/Qt34WlZKMcfn6mttWZKdLOkB69MJXp+u74B UyV69DbdgD1SfJv8rv5Eb4kec1Qx3kKKb0c6eFUwaJpOXumPlw1+EkKjnkas OCfVOTui4r2rSvWPwVv7G4YS/VzK2Ce9nvJxoN6K5msHG0vy1+ZOd0gLoe6X 2xttz8mg6SFFazdJchyMohOLJf6KF4fMrCz3xaeTZ4+S5Dzw149pItFXdjzX 1EmSUzTkwEF5XrFOTUmel87ugNvD/gI7G5uYBcn50YrGL5DHndlvWgvZ3yxp Y/g2ie6+ubOd7A/DAhOVwyW63kCLtjOl/Psg75aenH+HNz7uXk/Kv+6Wg6LL JippzgBbm9HPQujSi/ymadoqSljT2zVipJKG5V89cEJHQf57ql2q21lFfpZL RgYuU9IfW9KKRn6W7L9vmWWWmYrNa6t9i29GDUklj6E1q39eqCDjDV5jPxpm kq/NrIgZ7kq6advP6fIXKe8PsfTYYK6iF1Xf6u+T6vx9Dw7t2yXVXc4P+5WY S3V+j8ErX0yS4+GtQBs5bj+bsafzDCWP53k0yNFAtpt5snaQbLfdM/oFf82e rrql9ds61G9vzpXWb80nVW83VKLbl++9V673Ao4cPi3Xe68PFe8OkOrDIZ+y Hc0lPbMsTc2HSvXhZ4fAzk3KKKlnvm6XoFoK0jn021ur8SpKe5xlutQ9maJv mLaqX0uqPwvfrak/JIve1vA+N9c4kcq+n7SoeZUwaub/oXtYqxwy6b3zzrnu j+hYsGK8e0woWV73ub/vXDY9Z+q0Gb03tXD8FEuPP89bN7zLE7JxdvUkrUKa 4fz7k4WWD0lH/7b+zbU36OMs/+cXlDnUoEebGR0d02jrtf5vh3ZT0Mig6g8P HeDfd2RE5Q6R44+e2ZPbcvxJCPUaKceflnvubZX9sF+5i4tl+/sEX+zytTqt bUBpP2KzvLQf2eVR2o+YuVxfvEfad4XH2pW8l+iH35RLryDtuz5z21XN3Kmk iueKe5lK/U7/Jl5zIuuoqHdO5S5WO5Ko7u7r9ZZ7hdLAGpF9vetm0/JP44+O V8SSfZ/BQ9YbJFBG9y77x3UvoMjAQK9uZtn0JnrrlLn38mjdisXuUTWTSG/P u/IdGifRgGlHVr2fmE1Zd8wCJrrlkFbY8tvtx8ST8ckBKYmt7kr1a+anrMV5 ZJya2vnShjQ61vC3TkPbK2j3rUYVmmz6b78NFPz2Rf6GGoOk+V5qsHdgM7lO 83Qru0Ca74Gqpf4WWlTqb/NPl/pbBb3SON9+fmmcHzGgNM432vY0ylCS/zzu U8xVSf7Vlqfjp0jyXXs7bNZqmEaqrc7akf0V1GxwmkuGQkWp805XCPKOo7X7 Oi4xqB9NYbvsP3m0lfqsO1O3/yTZr9vDbcdSXPJoatUeTst0Utn7QeNdH6WK /yG5HatX7+SeTDLwPTau4Hoeuer77FOUfUSF+1oFzkkNpay0ROucqGyaEJla GOmrJDNd89UFH0PIesneRKqvYuNq4NlSf5i3uNQfTBeV+sOBU6XnJJ7+peck ew+VnpMM9tswcES1dIq+l3BRKfnnxF/0Yv3yM2jUp1Y/BddLpe5BRvFfViqo ZszLJk4WmfQ5IsrU81AsdXAy0xlb4SFtrTTaa9H0Agqx331i/6MEunVl9IFu cSrKbVvz/aOe+VT/1+DwqGfZ1PadmYn53Txq06NRl1dNHlHlyb2GJO5Po9jK O45FS/17i7BToZUCMyhmSMVdinJxZLe+47lRXx7Qqrhf3WyC8mnKuUa/Zxmm 0V6nN/M6DVLQo0Ndjh68Ia3L1d5TyknreNSGUhTSOvrVjLw4J5vP7xydk8ON q9ZziKDngJvl9ivuplD1nWVc4zvl0uDsK6bOj1Vk/ucXszz7bKpz8ZBJQVQe uVmdW1k1/RFlXEwedLRbKu2d7Xvh+IRcclsSsHPfctX/sXMXwc52WJceWBdj rMsQrON9YR25def8hPMrzg9d4LfP4LfZ8Nthk/dHF6dl08yaJSUO0rovT141 RrvzI9KnXeOTnTPo402LI1Fj82jpZrcKEW3SqG2t3G5HayTQwNkzvOdkZFDu 9YQoSsmnJOy7ndh3t7Dv5mGfZmKfmmOfivv6GvY1Fwe4uMHFmZdMPjVi4tgJ 4MMtgQ8/Bnx4hO5Yxx1vEqirQeLHRW9VVNPyyKkW5vl0ZsmzvIVd42jHyFPb Ovql0M1Hfc/7vCggD8RhG8RhJeJwZ8RtE8RtO8TtXkycb8bkBS6PcHmHy1Nc XuPyIJc3pyLPVkGeLUaenYm8nIy8bIu8/AvOtXrjXOsnnGs1Q94/grzfDnm/ BHWCNuqEJqgTklBX3EddoUJdUYw6xBp1iC7qkFdM3cLVOVxdxNmZq7u4Oo2r 6zi/5erGNUydWcjUS+o69o1Qx8aj7h0q1L1cnfwT6ur7Ql3N1eFc3f6j+wWu T+H6Gi6ucn0TV/9zfdlhpo/j+j6uT+T6Sq4P/bvOK7h+nOvfubzP9bPceQJ3 /sCdV3DnG5rOt6qQN92QN6e4bJy3Iz2HXM/VjR5zO4+it6RsOvjnQxYnVg9y PkHORMhxghwXyAmHnO+1XqeR1zYLea1kd2m/YI1+oQj9AnevfQN50xJ50wh5 M0zoR/zQjwwW6hBP1CE3UbcT6vaBqNuHIo+0QR6piTwShHGbYdz6GPeu8C5V /S7vnvBe7ynoAwV9VkKfvbgftMf94ATcD7ZBXTRAqIsM0UcsQB9RA31EQift gwXKLNIdkrS/X7Qk39Ytv7dzEkXOuXx42Ygc6jvgY5mXkXmkOJbpEnwwkSxQ l9ZGXTofdWlDoW63QN3+GvXqAdSrM1GvVkc9H4d6vhnq+fl211S9srKpbv9y E3pJcrRbTowc0eYR2aJOroo6eSjq5JvoIx6gj8hAH7EJ9hkA+8yEfewhpwbk 2EDOKbz/HYf3v4fw/jcc8u9Bvgrye0KOPuQ4fEPOVcgJh5x8yNkAPftBz9nQ s6FQ/3vAzjmwZwDs6QJ76gn9UUvY8zn494HfCfw1hfXqivVqLIy7HOOqcd0q AdddT5DTFnLKQZ8Y6NMG+oQJ+8gO+4jbd9y5QQz2ly32VyXsr12wpx3s+Qvs eQbjWmFcZ4zL7ccwwf9vw/8jwP8H+LPBHyPo6QE9ZyA+DEV80EJ8MMV+9MR+ rIT9aITzkOGIb8mIbz/6XoOjc/fp3PcfHgCH8A44hGLgENT+Uwj/uQL/8QQ+ xAr4kGbAh5zBPrLHPjqAfTRbiA96iA8TBXpN0KcK9Oqg1xHmFY15ce+mkxEn KyBOLkWcDIef2MJPbsFPbgr066DfFXAaWsALNUfctkbcfo64zcXnVOG8KBj5 ugr8ZzD85yn85xLy6SXk03Dk033Im78jb85G3jwGfjfwR4C/Lvx2Cfy2CvzW EvoPh/6Z0D9V0H8h9OfqDWfg2KcBx94FOHYO366t41rUykgp5ZHVJR7XcilQ u52F8Wipr3l5OCB6QwKlL25h1TjvFg216WaVN5d/p/O98MAcDkFT/JumOCVO vqa4iB9N5+67ObwBh/fg8DYcXovDv3H8nHxOH07/H32/z93DcngDDu/B4Ys4 PKoah3kROLGTwIktAB6vKfB4VsDjcXg5DvfF6cPpz81XU7tpiivg8B4c3obD SxcJ+N5RwJtxuNYE4CE/aJXiIUcAD3kJ/C/BfxH8eYL8sZDvzOCvOP25+f7o dzQc3maKgHcaA7zTbgZ/7g+832IB7zceOEld4CQtgZOMBB41AHhUN+BRfwV/ JfC3A/9uyPcW5HP4NxE/psZrcfP90e+PuPcg3PsFNd7+poDn5/rxO0J9qI36 5xLwwPeBB14MPHCkwF8O/Dsg/zXkz4N8Nf7wnYA/5PB4HL7r3323JeKaOH7u Pc4F5v2I+n2El/DewUSoY++ijuXw7StQb3dFvW2OensT+JuBvxD8XP2vxose F/CfJxm8onq+tYT5amq37/WujaNr+n7qFfNdMnEdY2EHO/SD7dEPGnzjPQv3 HbMdwjuFiehzjwvrHo115PopT8ixhhw3yPEVcOb5kMN990x9n9IH86qAeV3C vM4IfqL+HlqI8D20E4z/cOvC4TY1xR9q/O74O8XV6xrG1RDh3cRsxEku7oUy OOHvFfe+dx4X38HtQt6sI+TxHcy7pzjh/YgT8vUvwjug9kK+XqNhvhb1/F75 +kfXn9x7t1zUh6eFd17ceyXuPc558H8EfxD4ufcUHP6//Q+uP/+ufop7P8K9 a5stvM8i9FODBX71Ox0Ppp+68Df1U/+08wHuHZM2816M4///5XzgP+dXf813 ADicBoeTYfFFGuKvODzS34V/5nAsHL6Uw1WK+LRJwKdxOCsOX6QpDpmlM7gd NT5WT8BNcbjQCQJO0gB4PA4Hpen3J9m4CtxXHQGvmwK83Hrg5a4DL6d1uxRP 2Bh4Ql/gCTlcFocj0hSfz+F4OZwMh+vg8DOa4j04vA2Hq58OvFmigDe7L9wP euJ+8JqABx6He8kI3BfH4r74Ke6LRwn3pC64Jw3HfWhH3Ica4z60OfBshwU8 G4e/4vBCHL6FszOHE1Pj9PSB0/sEnB53b5Ur3BOdwj0RhxNW4yG3CriRPwX8 XmPg9zi8GffOhcPzcLhE9fftuwp4ztq4R1uMe7RquEfjcBEizjADOEMOF8fh uDjcEYer5/C6ajxzf+CZVwLPzOHxOPwYh3fi8MMivjoR+GoOh8bFGQ6/zfFP FHBTscA7cbh9D9xXzsB9ZV3cV04XcFN3voGb4uqTlrhv7Yv71nzct9aAX82F Xxl9A+fD4UN0BPxGa/hhUwEfshj4EG4/cnJeYtz9GHc2xjUW5HSCHBMBd7QS 434BHqw34sYLxI3biKs9EFdt1XFViMPrEYfVOKL7Ao6Iw/90Bv6nIvA/476B /7kFOTGC/KtC/HeEnjcFPTep9RTwJ7k4fxPxYONxjrcG573WOO9tjPNeb/Db gH/eN3AyHC4iCXr+Dj3doCeHi+D8pwD+EAh/mAt/qCv4Q3v4Q4RwL6CDewED IX6awd84XA2Hw/nRfcRMAZdSCbiUXwR6LdBjBHtegD0nAlfzmfkOp4i3qSec 50fhPL+x8L2gm6BzenK4Gn/mXuaxgJ9ZjvhzTZjXPcyLu/fhcDW38L3Bofje 4A58b9ACcdIGcbIQcTJR0GcF9OHyckfIsRPwLRwuiMsLPsK9mBvsw32XsubD G+FzPzymzfn2dp59JX9trNNzY3EW+z6uM3AvJcC9jALuxWKOgeqNVIdkDDKY WTYvgwwrzLarmpRPCbDbGNhtwze+08jlTa4O5ORw+Xoq8vseIb+L9UAv1ANc /cDVG9w7XK6eWSS8s8tE/SPWS3tQL3H1FVePcfVbCuq9e6j3nqLeM2XqTK4u 5epYru59jzq5HOrkpqiTp6FuryS8r+HqfK5f4PoLX+ZdszH6l+PoXzqjf+He 9awS+rLa6Mu4Po7r+zS9f9zGvL/IFv73ZyruuSbgvswa92V6uC/LEvin/Zv/ E8T1uRy+l+ujub6bq9/aIU4ORpzMQZzU9F0Md55QgneO3XEu4Y9ziUScYwTi HCMC5xjcezdN8zt3DsOd23Dvp0YI7zENcf4zV3if2BznRb2Z8yXuHZmm8+LO x7jzNO78bTDznrQhzveeCe8ruXeF3Pnhj363xZ2javo+mjvX5c6BNX3fx9Er Ce99VuCdDsevPifxF85J7IXzpcXq9y84X+qM8yVDnC9tFv7Pawb6iPHoj4zR HxH6o0Xg7wb+peDvJ4zrjXEfYFwbjFsZ445G/LRC/KysxhuA3wz8puDncPt2 GHcGxl2KcTl8+zSMOxjjlsW4F2DPE7DnDdjzOOiLBRy1xu+hnuc1lOnlV++4 INMj9fZflOkXrwS6yXHJp2XANXlfeNiNuSTviy/uVQPWSvQqt1Z1lO/x3ZuW LB8t3+uFHnCYJdGXVAg5LNdFtXOLKk79yn3Nvp07Dm6U6Av3Pq1dW6IPHqQ9 aqQc91Z+KZD3Yy3j99PkcZdHtKr5V7yjdC0wsZbzReWK2+3lcXenzSiS84X9 bd9g+X9zDk+Y0lm+F/YxfNxcvhd+9kf5n92kumt/XHjCJonepvWWeCup7jrs 1v/TnEZSvmv6ZXSWVIf8dMP0TIKUryxeOY1wqpVObzqsNTWU6oR7RkpFnRwe P6wVdq/5WXMp7k03Lj9Akv9yju2FIGncsl0HVPKU9PlwwvdpXTk+9PcKHSfR rz9zd94t0a+5OFSX9S9/rqeTrH8nz66G8nw/Gky8LM93dfmq175mBz/DoUNm SHXsk4DZVnId2zPcLVmuY+f2n9F8dYySbkWfWO/zPIRueenpdiqvor7pmXtm aSvpTdNEV6daCvI6uara+XEqelnj6MjX+am0J6bZ4WEjFRTuqlXD4ZGK5gs4 3p9x79x9lO+eQ83SyWPlsIJQSR+XDi2P+0v29FrW9aa/pKeygm8tud54XW2y 8/CvzJebV0zsntsnWydTSn+9vgXNQkl5Zn/5vDlZtPlB/6AjhxOoomJ4jaE+ t2jjQtfMEWNzadTMc7PSS2Kpb9kTn19oxdKboW4TV9//b3zsG+BjHYBP4P5P jZsXt45sX8Pkfc5PuH3E9VPcfuTqWK1qelt0JX3iz1gXyffXCa4XC2ZJ+ow6 kH2zQe00OtXOuZPnQAVNNr0xu0e4ijziTDvrV4yjymcPHjX88z698lwY+CEw nybMe7ZpXrNkut/Eo7XLqByyWn+tjFFSFi2c9mfYkvI59FPC4c/KO3lkteBj 5W06j9h3duMEOd0hZyTWcRzW8S3WsVDwz5vwT26fcvGNs+f15ZZX0vyUtF5Z aOYi9ZVG+4IrjjVR0en624eP3vmIBmrf8V8bHEoN6vQ5eXtdNul0X17BplI8 5ezQfRfR+im5VT1von+ygIyEd7KzkX/Lg18Ffnfwb4I/V4E/+8CfbbBPf8c+ XYl9ysUrLs637Ot+u/zRNFrVZmLqmpYKGvX7NHvlShXlWuh38R74kPQU+v2L utygKKOoCZvv5dBd7Ls07LsM7DtnxJObiCcRiCdiXG2LuMrlo1aMPpyd1X6o Cz8sgh+qcUfVBdyROh6mIB5aIx5yeYHLp5w/cPuFw+dweYqLG9w+5XApnBwu j2s6rqbnOdx8RzN2Y/cdsy7cOnJ5cAX8R1+IY+cFfzOBv3H+yfkzV1eI+Ve9 X7i8xo3L7WsuDoj5XR031HlTT8ib6riUJcQxww051g1fxJGFQfdp8evTKaOb ybDAoAI6w+xTbh25OMzF7RdCnL+BOK/O7wOF/D4ZeSQGeaQz8sgc5CNd5KP+ yEdi/uoGfi7fift9CvyW2y9c/v13v8duhnjSTfgeewXEvVGIezEC3tUZeNcL wnuKpcAJL8d9UBcB/x8q4Ipngv+hIH/2X/Q9dk37Dq6+4uIVV9dxdaC6Ppko 1Cc+2F/Vsb82Y3/dYfIppw9XJ3N1Nacnh595hv21V6ijbJm4MZfJ+1yeZb+b yvQ13Hy5deHWl4snXJzk6hYuv2iaxzWlc/7M+T8XV7l8weUvLs9qqn855JF0 5JGFyCO/It4+QLztinjrKsTnHt+Iz3cRfwIRf1wQf64gXj1AvHJBvBK/pzcQ fYcH852BtaD3Br0R6EsEPTtDT07/MCF+ToM+XN/E/c8F119w9uf0XIl5dce8 mmJe84V+rTf4XQQ51qCr9cmFPq7QR73uT4W+xnFBVJFXlSfkX2PG/C6Hc8jH P+uiX9Ms6oZ7yULcSw7HveR/ASrkVVE= "], VertexNormals -> CompressedData[" 1:eJx0XXk8V83310Ip7SVLpWRLlBJJfCYlkZSEVLaQVi3Ikj0SbVokFUX2LQop y73KGpKdKKUkKT4hhPC7M/dOD16/7/PPfX2Oae6Zc8+cbd5nnmVmp3QOTeTg 4Kjm5OCYRD2n6XPNm/B+kvI0fQ705ED//QK7tjd3KfAtyPrL/95jlYMMgemv 7toWbZjBqfysd0UlIaLCwvRNJxd6FenoZD2qNukUMzUnBkbgf2ww46zxepeK rVlGc07KpG+zYGG6Xcp6IllTKetg7OS2BJmrLCmGvnaa1Ovj+yyUZXIVj5w5 EsZaMkDT53SP+Hmt1lde3j21kVB7wjJop+k9NX+yqPFZQ+PG33+2/kGKppLy 45ix8794l+vkXLFVefussfzkh0pGUPwr+4zjP9aZbac4gzPr7++x630mMXHl Br4FyuPlc3j2XRVKjllGdiNzR8tzkQA9TlpiYjeUK6bza/hf4H0kz7qZPd0b PjFdRcXWKOuxLEFILassLdn4j37lnFEVz3YflsNRvaoY2/MsPobPuNhXU5yc LYlPfMW3t+aFEY39NF36rmzarLREonXd8YBpMg3EkhlDiD5/5de4sqwi4qz6 1ql324YJnus5iF5XcpVsKYpkqXRMvHlSh5usjzVBdK8bmpHUeNbayR5jxlsH yppT87MOxn8eM39AVmURxQ9r3/XNAaP5OfpYm3/Gdh9i3qTEMfzHL2OPZD6W Za0PDxyz3nMKk1IouRDNC5q8RsvHUzs+npInC6z4fFFv4X/yNGf0UuWxcAnU U0x3ajVE82K5YvpNjyjhTtFTrHlW/Uvh8zPDj5rVVKNjt54RKtKOF4L3pRCq +TR95Xnb4hOiv4lt0Vb5lpH9hL5nFqLfHFx62G/pStJviP/Jk99y5NMLJjWQ rrynzL4tRo4sLwl5tk1cn9zo0dw3RNGzWJzXbabxkx3TquyGww6Sb1a9XjpI 0Q3o8eD1kn1o/DZm/P3BpabU/MBtV0USnP85M3+yskwyxQ9r7YDoGH4mTzl/ jOKftWNy8Fj+H0ixfomeIo6I8gmPXm/xrSkL35ZsJAL6bxqPls/c1A4xUkSF eKLOOiTbNPmfPM8z+8Q2dD/a93i/YL3ct+0S0lP8fdfr6yE+sFwxP1zfvg6v teQgFQQ00POYjyOirxN2zd2bo0sOrbdJXClgTO76QuYPUPRFDauX7RB2Ii37 hE2Cn/iRGXkZNTXD1HjNy3uTBb3JH8enrPKIjyYF/DlnTOhlg3P3J22/vEUe qG3JMdm1/wlZpuB5UqKdDX6fQ+PB+eWPpeF4znf0+PvriuZQ84PN914bw/ld Ruj5H041DKP4AZ41JYifu600P2ddT82j+AYntJSGIP/WDP9H+TSNqPWymrjM xqx3w3z395R8CLH5aWPks6WCe5q4qTnrdUPynx27/5Pndi7aTi3yPiUP7Sim HwuVRfvqmk8IN9z3eH8t3tGYB/UgedpQEdRTrA9YjliuWJ5DZg/qFp26S+Jn xoQZFZ0DbPDZ+e0d07JU0mbixelTnbLJmsU9d3OD2aA0ZsW92pEUMurLlbNb V5WR0bOFb+m86wDyGsaaHue3AP/3T9LJ+Ary/nQDWdf7HeDAIe+H1Hig9eIC Gm91eD4a39ScdIuaH6jVXEHzE5oc9+D8dW9ep1N8AJWsG+8gP8nkXMRP1iNL QYp/UKRA8y/ElY34n2p6xYdaLwvvS7zeNpfdkyj5sICe1fC5UfLx4jliSsmT 6DVXXs4eJc9zUbSfeCvw4Dn0S9hfSDmuRnYN21Fs364x+/zPwYtH4L5PYvbj sfk1SC8XigcIQz1tTqX1B8sRyxXLU4v7RyWnSAmJn+u63YSGjnaAX7YaE378 TSK51sUPlh3MJldP0WediGWDb3YPf6RucAdmQRO9OD7rkC+qNxRlUu8doceD 8eNN1m9uoOYFYp2BdXD+NxNKl8D5HXwmD01xygZdRsKBkJ8BJSskf+f+wo9B T/yA6KcgxL9WWA7if0f2LCdqvWDWX9rOqXnT63XK6M7hlmlgvR65+2a0fLqf +xUkylwlsq//tZdN/k+eiwtoP81Z+6cY+nnsr7Ffych1fQL9EvYv9YzdHHwh bw3tqAZjD/VSTNE+9xGk9/3qXfT+xXqmQevdP33znHi0F8pF3JdV3UbJNZD/ E5JP2oXLBTWZ+f+e+qcPO2v0dwC5bys/OXd6gi8veJM2TSgHUsV955ZT8zgY FpdQ40j1TBM0/lbRSjReNttxTvnBbPBlzncO+N1iDB8pw/llfYaPUfyAo6yz IZCfieo2/pAfradz37vHR4NXuw1UIP/fSrci/isDA9yp9YJd2fR6wy7R69XZ q88f2DbMUsh1dYTymc3Ix+fJYj6bI2GE/BrboZId/8kzmE3HSVTc9BDGTThe wn4d+3ns37829SE/VLSBMwn6pWTGH/3MCUB28+xSK40rlB3ND6Dt5+fCTy/g Pt8cbI32fQ3bHu33gtaNaUNNOqR3PK2n9kAR6edUqflIjtvtrh5woeQ6ZUU3 kmcii+yfdW4xuX0j2S9EPeMU5PshP5203Ml1zHeQZOR/dkmz58zPOqDq2AM0 P3feejS/6q/mJIofULNBZwfk5yRRsw7yY9QlKkHxD1RXvUT86wn9RfzXzRvS pNYLFHbTfvi4Gr3efUVLS610uMG7kqsj3yj5NDPyedG3bnO22hNCuhvKUe+f PLfk0/osPE0qA8ahWP66YuZIn3HchPWZYPz63Z9HXaCfX8/oc8B92m9JBHXv hn6pvpzW5wkz/ZE+W3aU+EM7+vnFaqTPf8sUkD6/unoQ7fuyzvNIn0V2pSG9 FEzUfAX1lJc3DOmnOiN3Xvo7kJyM/Kfdeoj0GT8rRH45wfFKy9t5oT6v6i+D +gymWp9F+tz6nuc41GefgozbkB/He9eQPvvp232A+ryYZ8FJyP/6N5vH6LMZ rc9gvD77MPIZr8/eAhXGsrJm/+R5MJq2z23fj8XAuB7bExzX4jgU2x8XJk6a YHbxIIybnjH2GejT9vmF09BM6Of3/aHt85WCa8g+fzDcfRP6pWeck5E9dNc5 jOwy6zhPI7SjzoGdyH7W25Ft0I6MbORcCOX0gzMcycc6hNbL+mOL06ZTelq4 SgHpJ5YjliuWZ6zGMmSf8XPJ8Vg0v5N6wF9on/sNufwhPw0rnRE/L1RfI/s8 8dJ6Hsi/Cpu2z9qMfU66nW4M17uDsc+/1x7PhfbZpdhSZ7R8sH3+HPWA900J 6588c6fS8cbfxb4oTxofb3yauyIfxvXYn+I4GMeh2P/eCuNH8UY6EzflMPHS D64wFGdobVXJgH7+aC3t37Efwn4J+6Nf5/nuQ7t57Skn0jvQ6Y70bXm9dYQj tc8rBb+ifV/JWYv2u+VhTjgeLND+gMZv+2iBxnfmTUJy1DSchub/fMwBzd/6 uRTFG4tTj7yAz9Dl/IifI+/v8sF4408RVyjk35eHjje6n6iieEMx//nT0es9 w1U/EcYb4pdCnoyWD443jhoH+Oq9+U+et2vo+FlqqgrKO8fHz2Xza1GeND5+ Lq98jOJ6HE9OY+Ln2ma9OTAOxfHnvZdcKE46XLNPAK7jDBMv2fnJo/hZz+oU 0qPABFp/fiinIT8qG/e8Ae7jskWMPzq0F8XPN9iuyI5Gmg4i+xnZ+AzFz1xK x5EfG7ypisaL15Sh+Dlsj/MnOP+qcnr+/OjmR1CORrPfLID8fGHkGfnk0WzI 92w+7rnweY7h31hFHMXP49eL4+fgpkkCo+Vjz6mM4uc1wYtNkkfJE9cpcB4/ Ph98+Vaeg8p3WOPzQZwnjc8HcVyP+cFxNtYLrA8zmTjJ5ORetC9Vmf14aR+d D1aoNSK76MvYQ+yHsF/C/iiYHg/Gj3dh7Jr9oodofnXvsfkgjovH54Pj+dcf yEDrHL/emXXFvDAfvGMThfLy8flgnMppbpEp/8lTg6lvCPpFS8K6yPj6xoSX l5NhHo/pJ4InoTzz4q4tKO8cX9/A3xl/39clzZwwzxm8thnF9ePrG8EfqlEc iu0bycSRto4KyM9g//KRiXtONHQiP4/9+2q6HsLCfmn2uPoGOZI2Zn5c31j1 6sIYfnB94/JRvYbR/OP6Bs6zx9c3tnJqj5EPrm84RM7M8Jn/nzzXtHCiOl3C hzBUZxpfr5u06S36d5hu1aT3GtZBNlTNEYffDdNnbFRFebvCfCe0b8bX6976 V5tAu4XpOC9qDg/Lh35jfL3uw9t5/NBvj6/XeapyqcK4CcdLOE5q/Go9Zjyu 15m+/pk7ev6Ctupz0A8FjePn1sm9yG4ab7o7hn/3paZon/PwssVGr7duezPS y6Rzd8bIB9frtIkS23Wj5Pn8tFfyoqcJJH4OP31qcaiZDeIOvuugfoNdUrsR /V2YE6JfKD2Gfm/8vqoc/t1q5R1EdyRJNL46fLAMPrcvMkX0R5u3PlZJTs9S 9U2+CZ/4vZ+rn3s2rFrB+uRee3CSTJsSpvuwN53iS05Xxv8O0+0Trr2nxhNN EuUuv2T/Gz8t5H1PzMZckqP9R+uU5WVkb6pR+rsrHSBme88HF/NccjYPmz1J opgUn90lb1PfAbjnh67MHI4lv2SGaEsKlJGtnss6U352AN1GvlCN70lg2RqJ m1f1isG9T45Rz2TYeDz4H+PJ8eObCoa+QT6OvXXognydnB+K+MF8YL4wP7w5 51ZkPI4FK/KS7nV8TAPHLM/lLy5nA9OJnwPhvIulukjI16eYukg4P+YDrwPz 0ywlPPHkjDBSqy/3+tUPF8kLR0sm5/Wzgef7rUsUXHP+Pdfv3w9eAsp+Wo8s o36TzBPIjcxC9GsaHGgc19rnK+DfU8rbWJD+TKUVjW/cUCY6mp5ZsNuF4pM8 e/0Zkt+qF0HRkM8VMrn7KT4B5xQnScjnvJgyNuSTZzgd8T/zcXd7BiXXab/2 IP6xHLFcsTzNTsaeMDugARzums45q5RLnnVyO9gfyAbNbVu84HuzRzzQ+D35 G/+/9wL8XrOiMhNKvmTd1ZmSlLzJXaGSBVDO3U+iz0O+w/gvoXVMH3qP5sF8 4/nwPMw6SbxuvF6joy5D6dS8fG7hJ+F77NyXo/mD129CfMhtKzaE8whuv4rm mUzrK5hP6y/4zegt/o3/jul4P3yNrrgE9wfW/wU19D46uk1s5mSZtszx+wg/ MR2P6xt2Q/vp3zzdA6ZwH7KZfTl+/Odx9E7FS9evUXrmMk8Q6Z2ZWzbSN//t 7pAODq46ywfpJquSEd3Wef4VqN/dnrJQToDTvBjpuY6NhKkl9X3XtFdwUt8X 1Mf1oO+bnh/PDX97Fk5Ff2+VK0V01RDvGVAPUhZ/N4H0HjIS0d+lrPeh3gcK A3civnTunkbvxfwx/ALM57jxAI8X8TVA/7737ocz8O96bS6Ijsfhf4fHC/Ie HqH2NYiVOAr3NTCbsATt6y/RrGb426pce/Jk6u9r/K7LQTqWc7l+5hj5Y/um YBuh5jrqO0bcfH/uTfVc1rBjFHpieozBhTLqNzGejn9P3KSN/j5+/Hg61lc1 Wn8B1tuuA4/Qbwv3n2jfrPHbhejTvND3I/H3xN+RdDF0gb9T7AzQ34kzfYh+ yU9b4tdFIdY9kvPHhCMD/+z2vsvcWyceGcgMY/6O6ZvrFNE4nT07PCj6Pz51 Blei34JW8n0rLAf+yef7r1NofMC4efB4w6aZQlGj3lvEjMPvx/QJ4Sz0W6Fw 0Zj3cjL7EPsZ7F/wd39Af3cSf/eLC+8TXCPJ4PV37+k1iXHkq69TMrvq2SBq yAz5g3LBYTTfEWF3NM89a0X070/z+yE9Kd5dS+sJYwfG+7Un/vlIzw7NWtgD /cl10zj03uDlPfB9oL6g6zL1frIuzRu9F/97PB+eB/ujVNofAeyPHsmWoH/P 91ZgD5zPZLMGmufkRheVK4fzQd/I51XUk3x4+PeRGRPY/9aJ143Xm/ZBdMQz I5M8vyt2wGdaOQitTjl25VEHGFkFZJcavST3nVmQk334LYjrv1pgl9YB0jjO flccIEDWl6e91JMUubHRR+IiG2w20ImQv/waXFd9cGJLSB4ZPp+rbeRzB7Bb n77t0mApGDyY4AtOFpDnlBQ3xrh0gHSlyOY3xBpWu7sPT+Wb/+L5VoXbjhv7 mpUe/NgWNPeu3D/6MWWL17PlhImU8gZy6XnFf/Qt14yLpI+qZdX/FGrZMUGP GGHiru9CqnftW1xYCy4bCYc+t2dF4PgtOl+IW0kri9OpoOlwF8+/ebaVn5jb EWvNuuZ2XEVe+xrByYyf7bS1l+zcnHXoa8SDn4rOrFKGrmo00ZLz8l1ihZ9C Wf25AiLEhqZf1XqcM/ucrLKm8McfjpH+LP1hmj5iFKd4bcsL4prhdWftqO9E kl8Pne/4cN2VX2OunBGd2jVXK4L1/Q893nXmSVMyMZ8ghT7l/UriIJXevUD0 v110HLuMOXfex8Sxy7M2DG09bpplETN2nh4mv2CNOz+dFuheYLWokCWxYQDN f6OQnr+reRsnxX+W0Tj+q68b81H8sxZMaRjD/+FznHGUfJQXNI+Vz9SnQJ6S D2tHZfgY+cTNnPFlqpKWcp7cWPlfzb4vRsmfcAiV3jxa/moJcWzq+yp3jfu+ B0FEJ/V9iYq9ZWO+706RopnKfc2ZHa1j9Wc171dRSn9YodltY/THoS7ETW/C TGWDzoama0eE/9kTzW3tU0qJNcQntUvTR+vnpNcZCRZBSqz28utGXxXW/Bvv 4hOo3aB4hFV+6m37MGHJYjP87I4+p3XQJY5wipuzaVlqNBHdRtO1/u48E3bt K6EbXf6A42cbwXGsHdHl1yjcUnVdSMYfWrT7goMwaW3u+QfR32T8NZVeTdo9 Dwq23LWFXGV95xakK03pK+fIkiUjbqSfMC7eS6a8dnwC8/E7zHluO3OeW8rU z8svzrm3T2otcM1WPgXHXxNanQrHy71x6qPmB/M5jNH8csz8Ft7Slyh+wBHu Jm3Ijy3Dz/7dn/dR/LNurb8yhv903wRzar2sT+T6MevdmLwvql7xCKHkFdwx Wj53d34eouRJ5JdsNBktz4NObrlivG4s+6qEX0WbLrD2MOP3p6XHLjNJIBK4 hE2AVBIh/ZmmPzlYcepd/29CN2SR0ropPcT6D4V0HSZfbO0lta3k2tDmc8bB O0nxFxfCh2Ge7tdZ+KvmGBmh+PCtk6MzWVx9fs4rin72QPxXiyNu5PFJpfEu GwLJ5fYxx+yH2EBItNNz0WZP0vP0hlUp7THkS87525b2sMHxIPo8dytznlvO nOe+vS7X8uikJ3hb0V72lBr/JvdX4BJqfHarUD01P6h954bm355Mzy/mMS2Z 4ge8W30M8fOtleZna180N8U/UK6Tc4L8l6XT/Nsvu6Ze1/+b9eFFqSJcryKz 3s+JEicp+bBOVpqPkY+mNyin5EkUDdWPkWfwbp5TM0RCifiDHHt/xpsT5oM0 Xdb63sO9Ft3EUTONXa+UOwh+uXo6L55tFVTdq0OGFR/veSCzneTzavoJ9Udw 5vCRp7svkw/ntvaDzEvkRJebSTeHqXjbOnRuzL5osqp+nmWxYRJZEWY30POV you/K4RfCU8lrWZ3/VF1yiVL5nZwZTqwwYQ/oStEjZ6SZpsasjjdy8gv9XGE QnUHeL+DPs+9Ne48V/POzcR6y6dgcmec9IBbGSl6b8ny5dT4r/scHlHzg7QM ev7nH7rQ/PrRslwUP2DrJID4kSh0Q/wQ11pUKP6Bd2r9AOT/sLc/4l9GxhdQ 6wXh26zQehtu0Ot9q2R/mpIPK7OwH8lHgJGPjatYB49IKEtIZL3WaHn65bvd rouvJYxNTAuks+MI2xy6btO0Vm9P6k0ZMldMdO8+UxFS4bJBK6RHuz5YMm2O F7nCWF+sR+0MqSN4Ot6HoisvrATOHk/J18PPnQauR5HRpbxf3jdR+dSRZ/u/ /cglV3sdFFxn9ZKcv2PhWQ9V6ru/LT93gyMO2Jcf+ps1mE4mNrC6WvKp+Y0e Z5WoFYIrU09YOscUk7dnPXSeFdkBJnR4u8vsLAA3QznjevpekdXcgxtnC7JB FufGFdR7QXfcJGf43jQeTfTey4e73nDP8QLhlnqIz0JVG8TnLI3BFdS6wNvu xfpwXdeYdVn3JDTUxteyJr+b1zBaDvttZtp96B8gFimJ3+C1LCAqBssR3XD1 p5ummdpk69z77aU7ZMjUjTtrof5LDAhcfG78kHzWMIXnmpgzeVvo+fLeQcr+ h31kFx3MIdNW/hlUaY0i36pycblTeUeJMzst8HgRKdlqn3zUJ5ncpma0a/V6 Kl9WOFHHWpgLbhyRO521phC8tuG62jKZDRJb6HO+pnHnrVuSvfWUX+eQEzq7 l/OtKwS/zJep/pjCBpt2v5z1+McNwO19+XbXYRfy05bGPB9Kf4YX302h3gs6 ShRy4Xt3+pqi93ota6+n+ASOeosGIJ9ft1YjPtd++7iEWhcwLNzw6yq1LuHZ FWhd2oZHj1JyACW8bkgOy1RoOSzcwB/2vn+AxXFZ2hTKrZqR20SJTo56Xi5S b7hmyLczjPV96AKiGygUa4RF7ydXHfKoPJM5l3zo/2s91GegotRyZ3EkKbzZ wNdBVByUCidE7f9D+VljixWtKwrIRZePLYisZQG/9XxqBLWProfv8XoaVkBS wmfPiDsOlkYXvp9qwwbzfBYlL2pJAhb+tp/KtnqAJX8qBWspe1jOu+1T791S 0perJ5GfcAVucnqv181lg1PT77lT48m4Nw9fwvFunWARHC/9jPsCNT/4bOLa AefnFMxG8zu0ucyl+AEdmbd5IT+2X0W3QX60CssfUvwDz7eP/SD/ZN0HxP/L DcVTqPWCWJumdLjeg4/o9bouEtd9x8sFoh2jFlym5POLkY/C7t9noR7qndp/ kZInC+th285YpIemHwd7KPmDOEYPnxTEeEM97F2sxUnpIZi6h9bDlnu0Hqpx 2P2ivi8wG5iJvu/++u9ID2/07M6i9AH0fVdF+hCt4/0O6uGAbsBxSg/JnJR1 SA9fnaXPSeePOyeNn22lC/Vw4PdNCUoPSZ/Ori1QD+fsjtoC9bBpkVhT52EX EBnwDumhYVzCM6iHnfvOoPeu0dND773ya1kD1EPX2LbfkM9E6VrEZy8reCnU w7gVkhJwXRyNZWP0cJPLbaiHYLwenr1s5QPlhvWwcloKsnt9xp9cqP3Owvt9 VrwQsnuvxcp2U/YBKDH24URBMLJ7R8onCFD2BAzI0XavdO87ZPeOKQzaUvYH FGQIIvtzbvN9ZPfs+70XU3YPDG7nRHavT5Uf2b3q31qyxGA6cO736oR2b31U ZTa0e8/91U5Rdg+06/c5QbtnmCejS80DGsMmo3kMLuxE88TNLJaAds9pnrMd fC+3uDZ6b9Nl2u4JpSnxQT43mNN2zzebtnsb9j/dBdd1k1nXXxfe99DuxZx5 c2q0HAIZ//u+qm+Q8hcs7C90+jhDoP+dvjtvJeVfWNj/irXJIf9b9epFMeWP wBZv2h9Fjwwi/1sRbVdP+S9wfhntv8xFqpD/vdl2WZ/yd2D+gQDk7wLC45D/ dXQkWyn/CEzcb0+B/rEyYL8U9L+TVx9Jpvwv8No8PRv639cf6PPNinHnm0Jq L2Kg/11xeGQ55X+BXbO9CPS/Lx2uh0L/u8BxzXc4f9yRu2h+n1ZL5H8XaG1D /OhahCB+VodlIf/7oM6+DvKvqxuA+C8oKFSG/ndn4ZtCuF5Lf3q92pc3If/7 cJAHyQf73+89We3Q/waL1n4fLU9tJp7MmLJbunjTBWJ8PClpte4wFS+xcLyU ysSTI56s+bJTelg4vjpkmrgGxpPdd8wbjYJ3gouv6HgsbFEZiidr714yoOI3 8MrFC8VvB91eoXiyQzFrDxXvAfU96Sje+5PI6wXjSXMes7rk9hjAjtmH4skc S/p802/c+eZicADFk4eLOZypeBK8jZW7C+PJTYVyKJ68etxJF87/yJCefwvX 96cwngTqDxA/DX40PwdWCqJ4sv/o+3eQf+dcmv+j22dshfFkj+eSBXC9ysx6 ddq7rGA8+YxLdox8+PYooXjyzx2HMfLkY/KjzumD06l4njU+P1qd/VCNiv+J 8fnR1kaJeVS+wML5Qo1X7WmYHyWXiRpT+QVrApNfVHmLovyoXY29nMpHwFUm H8l/S+dHH11vnqTyF/Dbhs5fBGbQ+ZHCg4G1VL4DzlTR+dEc5nyzZtz5pvcV Oj/SvpApB8cDSTo/uh7k8wfmR3NNE9D8fcz8DnsUL8P86O8jSRHIzzWGnwNM fhTvajWG/+vSsSg/Wj1uva77c1B+NKwYPkY+e6Y9RvlR3+/bY+SZytRPbrgZ rKPy0395U+y2jUWwTvLtuN4wlef+o5M5m1A9ZG/CylVUvkzgfDlbvRnVPcx5 t/LJaV9j4bybPeXDIVjfEFUwF6TydxbO36skHZRhHUP795xnu6K+s3AdoNtW 9xCsV1SZtar+SuIAm3C9gqk/HB13vuk2bFkC6w9Sx3vQ+NtM/SHOaKUgrDO0 Ji4YMz+uJwTt3juGH1w3aCk35R/NP64PeHWmSI1eL64DSCTxj5EPzvczCJUx 8tybrSavN2Fm1qGiKTx+R4T/q1PN2mAH61QHOyxnzbsr92/8bbVgVI+64pHf s2OCHgvXK26d7UZ1pwu82nHHunj+jd/0WKEH1pf2nWuf26HoTOD6SZF7UwGs I81Tm2LvFOlP4DoMrhdt/9aVP18rgsB1HlwX8mDON3Fd6Idv/gCsC3kIqBWM Hr9d8/HIrHOyWUmsm3aj558tejoW1nMu6IXPGc3PiPmrz7Bus/XCpajR/J/k /obqM5qZXWPWe6V47wxYhzF4tWmMfC5F5Mxr7pJh3VouMh8+MV3dXS5xibc0 IdDQ5OKX8R+9MJfFf93QlXU3Q3vj1Y/2rDBm/uft4mu8nPUJyYVNk9UH/Qk1 hv95sZ7yO17fITzz9j7UXZNLNNyh6bd1TWvKsmIJR+6q37YbG4las7+InkW+ iGQX2bGWeMdITpStJeK+0n75bl+CP5Tnma6xdbZyqXl3YHwD8tKPPm8bIKpX VdBxjtuEDZqvo1hRN1sP5RZWEsSpYURXehBqESxoyNql32Vip3yLuMzw+b5F InP6dgdi1sUi00Bve9YLZl1ArDyjwnsxy9mpSWMoSI8YZuhSov2BSx7xEr/W 9X0IMwH/5LO2MFVitao8K9X94v6WUfUTjy2S1y7MOcJqPPXjCnx2MPOUxWlP nLotnnCUfKG58kAMYfedpj/YXvOk7vcXQs2qwtrF4ztREMRGdLMQUS3p/fNJ nRT92588l5JLXsMTcsq+9e/b7fJuAWk4slGgzkGeDEq92QjpxxTTUvu/dBCp U86IVurKks0fb6P4Z6CBtgMy7LF1SHGR9F7+3rXg9u2zO5847SFrDdlW0B/1 hi4wWmEjArTVDOJXd8uQOofPf4Pjjy8wUJrb/p1ltmySood/F1H74yOaJyau Tn3ntijWSj1Ce5PSY2ITs67G+5GpNfznibbtwL2z1Zl1jpEDV3le62EgxDrl KHittmH1P3mmuLKiJi1UIFKyX0+pGlX3U5t9ZqGxujsrK+KeEuXvWFrMPBuM Aj5dcHhMFKQsPuvUnUT4fqTpK4RcQlsdfxPFp16EwKfsnWJEN7f/Yj9UqErO mjtl9xahneTSFxJP4HrlXa0V59tYkLe/zHt+ptqeHHA0662m6H8kih1vmR0m d0wTOvdkjS/50WBrjgFF59bzH9goLUMujFzpU1XgSeqxEhY/oOi1irRfs5k+ tu73VFTt2G0dT/BlSar1t/QIMv/2DPYmKj+6PkNgkVuSLbDy/b7O386HPOJ5 K2QXNb5aNSJ9o9sOIGgi67Hjoy6pwq/rAf3gEoNpVq0OA6w+LR1Tyw1DxL2K B2hdj6yuXsjKSmUZfvXW3746lTjK4Hlc865z+rXaEjKBIrWbKu1ZLxm5Ldto E61QMo94xnu4oWOU3rLad60xsgklRJbefQPrJwpM/HZNxIu8KdtNFPx8uvyd UAfRlU/HeyWRjidUK3TINRMu7D32R4NsFRPpgXwmTM+u0XbwJVWzSPSczD4S nEHFk916S2w/vA0hl/dKzaswjSE9fp9ke3SywZnZ+0y2sO6RG679llJXTSZ/ rvI9N6eFDdpTOWfnqHiS035d6Form0JarDq9ko+iv3lE1/0MxtX9Om/t0fCw egom8RQe/2v/hvS/s+yqwEw28Pee5rx07hPg5HblmGJNBilwfYfcgiwq7tI1 8Go+fRM429X+4Ky9Tb6YS7wu/csGj7dNO//y5D6w5Fzpe+pJagoadkF82rEf 56eLLhlm1Ra88ymc8ZewWRKA5FB/wSyyMeMJy8WcK9NH8Akxs56W2yKdbhud QnfCZM+5mVBvNbA/iv+g25dbS/AmyBfDOsxfgrZ7vXo+nUOOMuSjPNULeQYi pMnx62j/iksl+/2t9CQHfQLshIdOk8pf3eMuw+9rycrOzkki36VwVE9YF0mG /10o/4SSz4yOfGKj9gsSP4+4GUmeT6TivWqLnIzlSaB7n2DXVuNcsrKlw27R RTbQXaW68qFsIZgesrr+1YZS8mfw5NOr3DvA8WLReXLnSLArmZB8mpRJTnn8 d371VTZ4/Xj+JaVwf5AZmLJ71qLr5GxXZ00dKu49tfGoEKWvIHAorZnSX/K9 GK23/jMen3/D/s3apGl1euRZB1H/vhqtd7gstpnXPIQl63hiDtS3QkbfvHj+ ZvRzDhJfr/EFw7pKdwWdz4p0NgyphGuTebovWi23yJBhJ7zr4f6tyF98oWTg AalQ/k2Iq9eJdDwgLD6L+o5K5kkKXLtekj4L2yw8P0WS0Y6eFW7xbHBx7+xK kTU55MO9Bh7stgJgcja9xGoO5XeY87mKceeSBtMuiiyRKAODT2O/Kb19STZF ZxpohHeAItdrgQOPnwEiXyzxaHA06bbE84pqDRU/pFs+HqnzAk8Lr4pftj9D hmh4bnWn+ORN0nCn7CmwqJYwo+wrGc/Y1S/zF5CWzrWss+e04qA+HCyh9YH9 XuDiiSVcpNii/bMvdYaxFGLpOklK0pmp3/33kyX8Fj91huaSC/ZMUIJyrrq9 PWBzbwR5OaigaI70QiC9kFV8lrIz9rvq0+3a88j8k3m6f3jOktxbX+8s8mZT Of20oAbHUlLo28NOqZ1RYN5a9T3x09lAbtbq8JIDGaSoqlL0illhoC3bocqk mPq+YpU14dllYPIlheekdDgpIhh+uqChAzSaRQhlh+SCVZWKfyZxRZDS26f8 +UHpSXxIbuvphIegJOD7V54iJzKSeDaheZANXO63xgmUaQPvkE+RAUoyZI/l uyr4HesXJNxOaxtg9S6ssoDfvY7x70vDQpC/r2D8P/b7HTKZ1dQ85LDSiqMa m2VATukbNM8ZBT0d64SHZFDFc9vvrk5gFrcQ51fqvdvsqlclhOSSVTkhE1LW RgCDC6Z1pRSfKvv2bG6h5GNjorUFPqcnfEtso+TwVEP+/RL1SDJzQKHlb99y oKWlL6xMyTOl8Wezt1AZaPbjdAsiHwPxlup899YOYKQ50numPQ9o3c+M4z9v D/QXH7uRQ8nZYaBKifouYOv9dTzveeTBl0DJRPhdZugtLGj13w8Sd+ZdO3Bz Lmk9dw76jsPTP9QfX8IFcj5saoDffRPz3Zskh1wOO9cSIY8EdsI6BtaT6tK9 yE+/PClsDP029tdPS3o4ON55kcuFrglSegjWTHFHeshquZdB6S2psdU4jtJb oC8hjPR2+bLitGesUBC9VnhS8MJIMOvnyfK0bspfB3QeefjtJfD3XHsIPoPu 9QgtMmYDp3slWbPMSsCMwlxRoV8vQVe29z3hpg7AWdu/gtp34FaNwz5q3wEe M55KuO/CI24KUfsUzD/+cyO1TwHfdUW0Tx/VClVT+xrwkPFwX4OOM/S+PqwD 2v5wDrKCK21uwe/ey9iB8KmLbReahxC/c24SsM6A7YaZE4ug7AzBoWm0nbIz rHeMndlokuMO/ah3Yz7yq7sZf7pGZfILyo6RZUcXbqLsGHBYbo/sWLXC1Wly xZmkxae5X+0npIN761nDRqFsMOWNy58lS5OB5Ke4MP8VZaC40fbQ28YO4BOy 9p7HBhLoLk8zcjtTCHZcqz38U5INtGeSJGV/wZ0b3ugpONEA2WHviklJlN0G DyVvlFF2G6yXUUZ2+z0RDCg7D+xX3DhC2XkwabEXsvNJSh2FlF8AGiXtLpRf AGmMX/D7tTW4N7eWteYrhw3UB+xHgqV2Hqf8DktnQ992WB/AfifOIb+G8lNE mq1fAeWnWNhPgaPTNcSWDBP2Kz8ZFMz4y7Jm/NoU0Q3I/11t8vSA/tCT8YPV +20CKb9JhqVPfkn5TSDq/Ar5zcqZlm6UnyVVY123U34WLChORX72liyv8+/D T0mDM4krpjq8AQIf13OKU345kMHtl46ra6XO3XVu5nVPoPGFt01GNgVoN+rJ L6Dk8yxD1oiKE4Bh2OqFVJwAJioQKE74Zn3lNBVXAONt2wfKTWNA9T0vFFcc qjv7nIo/QNqu2WnwaTH5BIpDmkekZ1JxC8jYt3YlFbcAzvV03HKlYccNKs5h HeSZMlIn1MHqZuKcP+BWkqFNKEs88Y5pO6VvOC5qqty6hIqjWKfUb/t2jKoP GFxYsZeKu1hZW5XCqbiLwHFXuqroFSpOIwpctTdTcRoLx2krxQ9bfHcYIICK k96hDUOs+0xc5x0tjPzon+6CJdCvDjP+VPR2rDgVN5Iz/Z5X3rLzAYenBaK4 UVDXlBQw8SSnuJnWtaRHUPG7oh2MMzFu//K4ulaG7dRuO0IOSB2r2EzFsUCq 1WU2jGODR2Jh3AtiRmTFqbgX3LLSQHGvYGDxKipOBl+4OgyoOBk0B5mjOFlM V0ufiqtBRql+2mahncAnh46rL9RV2n9z/M063n3LET43MHH4Ye/V4VTczjoz c4sbFbezcNy+jK0sRMX5RKeGhSPUWxznhyrHH6XyAtartbvWVI2qD/xlJ6gd BULEeb/XwnUNq//RS5cOPKTyDtY0e3UTKu8gcN6heW+9HJWnEFeP/GwESo9Z OE/xXzDbkMpriOKlV0fc/btYOK8xrzZFflpq0BX5beyvNzs33d3UvZb8IPxj CZU3AXWRXpQ3rWbqWhXj6lrpXJyKHTJfCF+va+0VurJAaOpDtH+1hxu0qTwO hBpN+FzrIA8Un9F5XGzsBA0q7wM/hD6eoPI+IMvkfZFCU+9SeSKrVeTLOipP ZOE8cYbP57lUXsm6GLaDn8orWTivdF+Q0Ow15wiR37sRPXEe+qPC0JjKW4me Iv2pLaP09rnVYN28nHtZFhrOfg9fSvyje/32PUblv6zAxy6Hw03APzk/C+hQ r/ReTDT5/jCj8mUWzpdXRMnZU/k166LjWVsqvyZwfh3QYHcySNCQ2H+haudZ 5VssnI8vdp/gQOXvxIrVfOk5hZUsksnft68vvA3jgKW7/VBcgOOBWqauZT6u rqVz1qnuQ5Eda/oueYUJsrUsXE9I0UP1B5ZqVM6AzcZGFq4/xEZ49mm+vsN6 Vl/Pobsml4XrFZJzNvz2ctZnzdy72nbboD8L1zcm5p88dd3QleDtH9p29aM9 geshVbXtwku8pVlLy4Qi/TL+u/9ht2SLEeUvSfx0WBq8FPrN/tSXUSsr0si8 y98WLmxIJNcXnTH3KmGDIAZXtpjBlR1kcGUDEeHo32dGkpbQ/54K34nmyW6Q qqXmAdLL9XSoeYDNyhgzOA/+jsXut8yp7/iPH+s1y+61vbqn7KUROoY++17L puYuGWIaUJ43ui6U6T5wn/Jr5OSRJgvKr5HXneyQX6uW8xen8gXS9GplLcwX WHUGKF848H1eeolaIZnd5HgQnWuLzXeB5zvTz3NCv0k6G36NovwmWXCu1QL6 TRU6HyGn76fzkQomH9momPucikNIgx7R+0ELI8kDms9QHHKgVuAtFbeD+3U2 KG5v2PIJxe2ftWh8ws1x+ASF1Ol/ob+Wt/+E3vtW9CN6r4Q93Y96P4rum05n +qZdmX7qvJtj6U9pfoBu71h+Cv/HOfUrC+5sKi4iI+NCllNxERlIOqK4iLfJ VozKI0jr8pFmmEcYGPujPCLQbH9nqdFLco6K2Sprdgap179d9eN5yr/Enb82 7BEP5JtjK8UekGC29wExxxQ20I/lUxdSjwRrdr0PetK3nNypOR3Fpfq6z5uo uB1oJ0bmw7g9MO1mJYzblyZ0fqTiVXJN/2svKl4lJe3sCmC8qmnsUU7F86R0 kPALGM9b6BqegfH85v6mnrl5z0Df1B+lA/xB4PB+ecFT76l99Oq+MhUf/3s6 6hklwTh5QwH3fSqPAGKpMzilqTzivqEGyiO0GPk0jpOPcqIjirdFq4+w4DwK 2xajeQri6P7fWaUE6v9NYPp/Z/Alqyi6loK5EtbNWQ8fknM+rv0sNJvK40Kj EB/L672U4HzGQkfHzGMWTY6Zh5v3zmZqHnKtE3saQc2jxSuI5jnInPPOZc55 uZhz3uiPA3Uw/gcpC19T8T8585oBkvNsVhuK//crWiB5areUofh/RsyKz3co edZ8rxV6oRsOFM6UBCdS8pyWNe0TlH+rt/RumC889I1E8p+hKbU62igD/G4P 8jXuDSZVAu9v8HnDBi29LxTh97UCg1+GqLxD0mo+em+cKY3ztx+H899vEjgS ZZRBXlmZdAnO084PFOE8wYUnvlH8ANX7SlqQn+bkviDIj8y8s8VwH1XKWDhQ +4i82W7zBu4jIaNvEXDfPd+/AMX/qUEOSM89xHc8hftUXPPpdDXjXPDtEDfa p53nb6F9PdPC5xGMhwff3kPxcMP/ODcP3f23Aubd80K43eF7V+kXo/07lemT VTpI98kWMH2ymW5FVpT+k41NK6Ip/ScXOomJQ/1/yoyfazd2vKbJ+1ewvqGp FsMD+Tx0/sNZyOfbRjrOLB8XZzoKXUV5feh8/RZqP4K1GwvRfuyLWIvqIQHx 1g2UfQMG5zpPQfuG6+dLFnkjeznefkbLmo6hTxek7e3ROoEx/jRuui3CPS5T yJk++lwDn3fcGoeHLA2shefp5MffD/ohjkhtqzrCEbUz9mrCg7H2ar4/3+GE HzfIG+bq8p2HXcjt7QMIhxB0aGwfQQPTR9CqqPOx924pOHVc9agA4QoeHDuI 8CHsRHofxSiO3UcndXWeU/aBJE9d2Q3tg9nAhEXQPnzr4WJDu1Fzcp42RSf3 /jiE7IZP+BESjudL2QjHk+mv2xE9KK7HAK5rsVSEDMQJpEjGIpyAPfN9HU6M 7ZvOM/bleGv0EiQ+WStH2Umg+zN+C7STF+cdNIZ2csm2TcFQT/QaTZCebPXb gfTHfDtRCO2ndW84sp/eM6Z7Qfm06Mfe7TrsAubldSL5PPjzFeWzTku3iUG7 bXbdHdntdpVb6L32J4qkoX12fJeP3pvG1Ivmt9H1opdMveh7/C1R6B93afa8 h/rzvXkp8o9Tf2YHQn/6wOYlyhMP17xH/rTUyOYF9Jt2Ug2nIS7i6IgywoOt kv55F+aVp0takP+1dXZF4wvUV4tDPyItq4D0tt/6NNLbgQ6Hl9DvrLvhgfLx JKk9iP/TbtrIv6h7FyG5reFZg/yLJRNvlJaOjTfsGRw7B8cXhGMPYXDsdgy9 h8G3hzL0+BMxCfkdz8mnqebtQ2/LgPD9PpkfaR3AWWpjU+GH50DguGA79SQL njzj3vuUDSz+CCHcuXrezK/wHBXreT6j92q5h9A+wPRuBu9b4XURnW9jumqo N8JTmjD4AnwOfhUY68F64sz6pJMQ34FxCKYM/q+cwcVgHEh89aYrMM7kXV2P 8EcYd7SVwW8Ni9N4Lozj2sPgkwwZ3Bwe/5vB2Ry4tShg9PzKkjM4YN4YZMZ/ ajQ/wicbpGCeI6O+KG80/w/3ZKLz5g6eX2PWyzf1JTof/XWKu3m03MIZXHWS hwTC6WO6AIPjj043d4XnpZguMzKHDXHAmwR1d0FcAD7vnme1HOFW2xx/IVwG xhuILvmLcJYqYjQuBuNh+vbxIXxh8EkaR7mBwdsIOBZ3Qpzc/e6PCLcVz+C1 FI94ZEAc2KeztxEOLoHBv5nGF8LxoPQEjfNKZsYP7svRhjgen+VL0fzKzPyp TvkIdxKqU/ZwND85XAsRTuLjo6Vxo/l/MBSKzvWVmlZpj17vH2c1dA7t9eN4 8Wi5XRxUROemdRd7hdi2/8nNudMY4d2/Czmj83x8rv2Kwce/doxG588jDF22 qB5AHHZJphfCWWC8gX7IJ4STTleYhXAuGC/NvZbGuUZ+o3G+GN+buN5aFOI7 jXxXIXzWo2U0Los7YgXCX/KqxyEcnIcijX+7UP9jl72oOLAXskG4wsyheITH 21KJxoPI1g1ovJY+Pd7JP0sQ4qiuvO1ZDOcvV6Dnf8HgnDxcIxA/axm8k4L9 B16IU8mblW0F+cf4HIwjcZ7cMWa9XWqSCPcQeDhhjNy6vAA6t+Y18pi478h/ cnt0XQn1IQSJCSN8BMYVXFiUj/oWzlvcROf5+Lukz9yEcPDVDG4F4+EDL35H uPM5n5YhHLoYgz/HOGmMm8Z46fSIRwjX69tVgPBuPP00vnfN/Bu9ECcq0PsO 4Qpn3pqGcHoPe8r8I2pZgG+3miTEaT6tmoHwmWujEP4VlPm8RuPNF09B40+L +CIcW/Bsev4F2QJo/s1rRt5B3NVQT89RyM9RARo/JrfG4yPECb27xI/4t2bw ToUMruXbbV3Ux4DxLSq/zRCORClbcMFoueVpFhRD3EDuVZ1LuYr/ye3pwkWo P+T+U3HUT4NxHS8/0v0kbQZhvyE+AuMQ7NfOQX0RBnvW+kMcEO6PWOwvWgZx 8zd2DL+GOCyeSho/j3HnGIeO8ecYJ41x0xgvzen8IBvidCcMN7+AOM1jVcsQ TlJ0xnyEcw0YsroIca+V+mEIj9rtOJAD8ZSnLrxH4+828qPxpxJbF0Ec4Qnv a4Zwfuf2Hls4f56cI8K9STQsmQf5OaFO4/F+5/YhnFb0molFkH9lJxqv1beY RDgnV6YvBOOdPnU7IRzMNbf5dqPlVrqzZB7EbSS+uLDoFOeWf3LjqrqD+nYq GPwOxtXEMX0+pwWc3kC8CcaBODJ9JsZvBgcgrmo10w+iU6ecAPsWDk550QJx bXVGdP/CmUMdCGef6H09AuIKX19sQ3h7nIfjvBzn44P2O77BuNBQnN8ExkHy Hv0o/un0PYVwwC4+ybEQR/ywogXhh1/JRKE4qYqwdobjD1Z3ofE79VtOwHjl zwyJTDh/Y40uiltcSzMQrjFPZVIk5Mew5wbCHwqUTEc4OX27hw2Q//UnaLxc QP4ehOtaNondD9fbz+C7rHmlEA5p+o3GFaPldpJoRrgZw942U9l5/8mtSYXu p/rF4KFw39bRWLov61qGYxDE72AczrGLOahvpy9kdinEqWUy/TvBNs6oz8T4 Zud5iBOc9G4ewgcus8hAfRGBW3RXQZxmbns46o+w9kzqhHH5MrF4CRjP3poa g+LzyCZphGvfm22E8MVZ04auQFzxrTaOJIjDvmpn3gjj7gMD1ijetugpsYX4 Y/PILQgXT74uReNbA/hXwvj4tLkCygOWZ4WgOPlzvwXCiQrli66G/PhO5UR4 0TSXewjXmDjB6xTk333zfsR//9cMhMObHDX7DVyvD4PHe7W7AeHAXGx1JaHc MH7s6oaoPIhbcorNM5Jd/p/ccD9bz7h7w/gk2pH8cX8b7mu7z9w/9reLvn8M 43keMv1yP3zz+yFOCs/fzNw/Fs7cP5bC4CjWP1NDfVN8HX3BECfoxfRPtTH3 kh1aNvZesug2mXLY/8M/SfszxG+qp9B9QPi+su8h9H1ltcx9ZXWeQaiP5Y+8 dCTE1X7mW4/6WQ610feYXR53jxkXc49Z7tmx95h5yCqLwP6ES+l7NSFOfCT1 AupTmMncb3Ypfmw+xWbuN3vcMvZ+M6kflxG+/OoyY9T3MPnxd4Qzn7+Uvves nrn3bBpz79kW5t4zZ+Wx9569FVJD+OA/4iNoXa9k7iCcsCFzH5rcavo+NH3m PrSJalUI5zpdvn0Ayk1g/TqEd8V4zTnj7kmb88YF4TVPiq28Db+LPoPb1Gfu T+sdd3/aNA1a36YHupdDPcH4wzTmXjUB5l41rCeejB6eTWJ/vctv9E9P9mk+ RHYV90di+3CesasVzdv6IM4O24eZTH9dnKXeIMSTrmHs6g6TOciuFuxQrIZ4 3j+xtF197TmI7Kr/7JcPIJ6aJ+MvsqtL6sJRf8Wk6ZN8Yf/EMK806puQyDyN 7F6VKisEjv/eFI7snv1gFrJ7l9TWNsH5A9fRds+DsXu75B91Q35GGLu36IsB snsDOXPmjl6XIWP3BE/uf3f3ruS/dR1oVkd+/KnhZzmI08T+aG4T7ceTiP54 iCvE/mhCWAvqJ1zD4GdxX+EzciHy4/G/fyVB/PImpg/uRoMA8uMX/LU5IX78 MemO/KbXD0Pkx9szPPUgfv+3wC7kx3V0DF/wUP568P3QedhHIlLwDvnrw0dy oH8Hx/6mwj4MIDQNIH9d6zgJ4f4PCzuiPoDJvppoHtkMceSvCf4/6L1J/TRe vbT3IvLXu2KXPoZ8rvan/bWq1wvkr9fNmukL1+XHrOvx51fIX+/geyw+Wj7x jL++mb6xLcNyyz/5HGHiz0flOyQgvvVf/LmFjj9l73CiPtp/eeuxtyj+FF/y FeGOcfzJ3eWH4s8rkoEI993A9A/udmpG8Sf3Bq3NEHf/+iod7y3QbEfxZ6i9 HOr3kpCk+7xmbPDqg/Gn1sEW1LcU60r3iWS+1P8cTMWfB0duob4c/wl0P86c Wls4HpR+r0P9JTXKpWi8b2wlij/n/NqO5j+YtRPNH9Y1iOLPa/clN0F+bujR +P8Jkx68h/Fnprv6FMj/IQavLnZrOYo/EyOt0Hpx/MnLabsQxp/B2felR8uN 86NpHow/T5a0Ljfe8J/cjjH5lNYNzS6IF8Z5wa92Op/amlCA8K04L1jE5FPp vl8RjhvnF+pMPnVmWQfC0eN8ZNWVmt8wn2rO/cSCfQx/mf7BRWfOonyKZ2sG 6iOpVqf7R7wW66J86vrKM6gPbF9hOcqPFhipaMN8imONSgjsc7p9he5v4n61 B+VTVde0heB4/xv0+Pl/clE+dUzCohTOv3wvPf9fTxGUT8XIcitBfi4x/RTL 7Y3mwXzKYVmpGuQf4/8VUv/MhfnU+PU6fJJA+ZRdu/cYub3zckP5VLtZvLHc KLnhvuvpe6+IQfz1v/Mgpj7gtddlFsQLY7qy1wxUH+C/cQDh4nG+zMXUB3Cf K86vD9moo/qAmaEK6gvB/SDy++n6QHa7jCTsy8F9iPkapag+0M3xEPUzzWH6 mBJt6PrAl4YS1DeG+8WmuqB6AihfMnY8lzjdv2Rz0xLNf52Z/xFTHzCIsB/D zzOmPnB1/8Yx/D8+P2MbrA/gPmm8XoxTj5WsFB0ttxNMfaDEXjZy/8//5KbP 1LXKTd0Rnh3Tb2yeaQzrV1H7hYZhPwGmyzH1KylrBdTPges/+xZn7oH1q903 BVA/K64XaTL1KwvSH/Vx4vrSbKZvs2bp8CPYB4b7v5SY+pWw4nvUb4f77F7Q 9S7Wly8Lw0aPb2LqV4t1ncfML8HUr5aY6I3hZy5Tv3rRvPLtaP5vM/WrWku6 v/xfPZypX61fsGeMfFhvGlEdfOejlevyBmf8sw9PGVz1T08PhLP+V5+xtkE4 4K0MLhjjBD4P9RZDuSWf/S0DcawYp7H/Po2z9G2aowdxlxgnoyixJhD1bQbn I7whxhmqZRkgvJ2TDj/C32Hc3cZAGnf1MuaQK8RhYfzVMF/0K4hDcuKXRLgk jEdKeeiB8DfrbwUhPA7G4cy6ro/wIjLfeYUgfgSva0dGGsI3WJyehfAOmL6N XxGdHyySOr4Knuti+nAyjXuWVypBOGiMoxB7aC4Ccbr1ve0It4vxurUqg+ch rtTB2OcXxJmaMTgi7v4ZnyGe8uTs3C6Ir1x2ksFVXjjxCuILL6rZd7T67yfd DWic4SslQ4Sv0oqbhfBWGGcVu9oe4Yqe8w0jnBHGF12e2x8GcTB3/JYiXAzG w3SX3EK4DUJ9qTrEcfw7d/5giXAGhQd090HcAab3nPm9CuKMt3+euQvijjWk adyOeYxbNP/QadKVp21LV6Un2Rzfj3BTLQ/yhq72OJF2W97kqQ48IPsnRmhA vFm35gbvdMmFwO30JsG3PRFkVNUNATvKnkvzuB+A+CcVu/dqEA+FcVCDTwDC 60wUc0D4HYzb4WbwJZJJIiEQb4JxJtNumCM8hJZ0oyLER2BchF6byrwhmUjy vrjqTYeXSeTCWTaCz1uoeIb9mTeoJpL0sraT2LjtJdm4dz1PcTwbxOz7sC1s wVlS70PX07hveWRVRGLktItskMTgkxeNwycH5jzfC/FDd4/0m0E8EcYR5Xzq RniXLEc9hH/BuBe7hfcQPmOasA/Ca2CcxnEGx3tzHI7XAmQhfMytj1JGEC+D cTLhP9MRnsPKvRrhOzCuYwGDdzVn8K4JDH5GRlse4TxCKjh8Ie4D4z1EGJxn zTicp+zKmO2wP6H/eGEf7Fc4akT3KZiwORLy0iPIG10fTp3V8QSau9ZPUaG+ o+Bz429Tzr4h/wzomzcdewqChyaGac1kg117F3ZAnMH5NzkZ8JxQeqqEPTwf 9Nnnh/AEtntF4bkoqTuXC52H5vVmTIbn2Zbc74IhTnbAYTE613YQ421emRYB aqTtOJz5Q8E8CZFfM35TerjX6wY8B53ZYL+Tb2kySBw0cIDnoXuJlxqfWSnA Mv9x1aYrnkDpUl5KHxXH+nGdOPfotSdYXiW/3pGQA5stQoeDoV/Tj9Kt1JUF WZ03qyBuSGwKjRfS+xKwHuJavOcD7k9Fdv/wLe8Y/Gf+OPwn0Aks9LPzIRXb Vko4JdmChtpKhBNzCUjdpVidQQ5zid+RnfMEXA/VSRXIouIur/sIz3HiToIU PP/k9BdE51YYD3133P1FCjytPhBncMetPQbihV1z7BFOeO6zJ98arQvB3ctK hUs3kiClSzW+SpINbAe2b+3dkwxuWV/etVbnHjgz3Gz1jZJDhX8Dmb3WF1SO kD88zQ+DwPKNqRBv1n5RcGadgzzYbhVmB3FSz5k+l+1uzxGOJ+rglSqI68F4 Hm6ha1UTa2+TFX7xHo2nb4KoFuFiiEuUL9lHRE9IJ/l8fNUnF2eCvSeWzTIO ZYOGYTOEw4haGIDOgUnpd+gcLUfiAwnxECEhZQjvrG/zEOGcV0ZszjM/FAOe JxaJfqkIAW5rHJ45d7LBpj519oVqe/D03qo8URsLEMQtiHBxGpNtTkL81jwH E4TnwjiuC50mEyDeKOVEWRvEH2HcUX5A7Z4Fi66Tvz0VQkG4P3ihsHE7xKMK 88onqD6MJlc9SU8ZTHwGzKZbbtpUQ+UpIo8DzKdHkJMCdqTmhuWCLJnnbwuv UnHv0v7fEIe3bjaHC8Tl6RM0Hk/0YhDCjR1m3wiEODKMHyuodbGBOKcSxYF6 iHvCeCeNnGw+P/szpJyWruDkd16g/vIOhB9exv6SplnkRGpJHzZKSXgI+q9I /PpCxb19k5ci/FnTHoF5EI+GcWgtGjYaEC8lJ7f9NMRPYdxUtzNfIsR/87T8 TIR4cCMGB97wpj0C4qieq/IgXBW2/2p3J6pCvNTkCzwJED+1h5RDuKkHzL1e Fcy9XjXMvV4HmPPKZua8Mow5r1z+ddNBiJfqFMh+C/FTJg5JCDdVw+CiMouO Zo32s45MfGK2snfLy5EZ/+hZGXmRu9kvyani6V7JpiXkyJfu2aymDqB3/jM8 lyXXs6TQOW1ZzDGkVxjfg/E+GOejlRVTHkM+Jp1X3uyCOJE9O9+kQXzIgQ3L ES7nssAzhNPJWKmH8Dn9xSeDzZ4rkTarU5c6fosAq3c8I9wou3f8rV8U3I/h +zZVQxyQyNYyhP+RchLdCfEfSdm7ED5lICca4VJ4V++rot4LQMN19N5tpUXo vdmKiQiPYtNzdwXEp+x4+RjhUniq0HvByXHvbQ/4VgPtRn3LF3Tuzd3ijOyG s+UCT2hXvzj9hLgPkG0VifAe39wlkR0+fUDnEcSV2B44gOywgNvndtiHcHSb AMITNWftQ/Z2hxqYBPE6QeRtiN8BYOlihNvZwOCIljE4og0Mjsi2nPh/8T82 r2KqIH7ITOT6FogDSnjAj+aZtUwU4VHsyrkQvixGpJPm0+naFIgjSavqhbgS ct7suQj3wvGbrgcW/I964Idx9cDBJwEaEFdxVFO+Cd7DMW2RKo2vYOp+BePq fmuHCqE/Ivde6UN4ma/DqYifxyvout+C42PrfoY7Q2lcju8nhH85LtyKcC/B tv4hEA9htEvRD+IgymJp/Mz8hGgPS0p/gspnkw7fIsjpIv3oO4r+3oL0kDP2 Uh/EN7VmiyN90L7zC+GKpmQvHIY4o0B5VYQvql7T4A/PBWR35YvCey9mrWlA 5wLPXY5thfq2LaW7FeKPEksKEO4I42kwvgbjaj6MDCEcQ8akbGSHN5/IQPvl D7Mf70c9TYU4mn91AwaHMyw4FodDMviB2dYCCF+D6WJM/PxW8U31t1HzMDiV f7gVjFe53rIC4Vf4Jtl+h3Sv6rOIrrRqRQnEkWzUKnKGeJPHlr4IT/KCuYez JP3/v4dzeBZ9D2cvcw/n2jvH0HnBy7RedE/Gz6kW6LwA35eB78/A92YcPpo1 F/IZaD+bgDgahaMjiB8Gf0NiPA7G4VyfX4fOZZJ1T6J7hpJdtqJzGQW98C0Q /2E1R2+Esj+gUMcL4VimfqbxVSk03grwMjgrtrXYZ3hOZMv5At1r4nydvs8k cyA9C8rB9tcZhK+Zk1OG5ODI3Df4h7lv0Im5b5AnSjkc2knVRSoelJ0E58+x 5kA7uSomC+Fp3rZ6IH4WnilD/NwovwL7rECE7ApkP6M+WSB92HZkM7S34DV/ FrK3XC5/kL3N05mlDNelFtHcDe3qBR8OZFd3M34heNx9j3n1m9C52MgkaRLK p/VlDZIPxvFgXA/G88iF7NXUfZNOFryaSrZXlgH2vXNX5j/pACccnwo9TcoE W9P3isidI0lF8An1xz1kcC/K43AvUtekvY/8KAGLBbPk/rBzSZOIYs/G9A5w hpFb3zi5fYqa6Qr7sTWZ/myst0YSpUdgv5PRfZ93sP9pC9P31MX07WqN69vF /dtvc+1QPzf2v7vWXkF9yBYJdF8y9tefXpaeXOHmBO69rG1JTXhIZqhd7IZ9 WwPfF8+i4gFwW+60FRUPkJ3qGigeqH2owQn7wDuKOWVhXziOH/Ls1FA/82rx g6i/GccbKvfeX4b9t/em2IbAflzOFDo+ufhsUvJkhQhwrexqamJYLrluDldh HCXP8oDkaCr+AVMP5NVS8Q+ZG8GJ4p9uzb+bqXgJjFTIl1HxErk3Rw7FS4cX rkT9595v6H50HF95FunfgX3U/p1x2rCvejETjwWvd97lXW1PnitbUEPFb+Ta T/wofntkUNZIxXvk45IjK6h4j6z/cxDFe/mKzTFUnAnSXtsFUHEm+W61OIoz f56c3wP72wXYQw2w3x3HpYI899Vgn7Z6kKI97NsWYOJY5V/L5r5c60uuuJhW TcW95JTq9SjuTUvmNaTiZDLxVYMRFSeTpkWxKE7+lhS+morbgXjcpPtU3E5+ eJOO4vbZ3xotqTgflEx9Jk/F+WS8UR2K823epaK++oK0XNRnj/OFmvqYK7A/ 3HNgj+XAlw6irZHuE/8iwltC5SPkB+OY1EgpGVLPtnw67AcZci65+5WVQp7n n7LDXdmTLG6wjR2g+LlabxMz5+wbsHxxg5TWoafk67Of1PfDvp7qQGEqLwOX 9uXoDhp7kkKeutdgH0pCcqMA7Jd4eWLaDdg/Mcj0TTQwfX994/r+fnTQ54Z3 +xLCR58b4j523NeOzx+PfabPDZvlxp4bDjHng+XiY88HAXNetkORPi87xZyX GTDnYltXjT0Xw30dq8edf2kz51zl4865nkz0Q/cRKF+i7yfA9xIcKUmfD+Oo Px/fEtD/njal/e/m+I/ongL57SXG8N4CnEf3A1HUbx+zfB/qv8d5d4byTOiv AcfXrf3QX7MlOp5Bf80hbYDs5NJ1K5G9VZeRQva25sdpdN/BLq1EdP8BzveN ZU6hvv2nIp9QHz+uD2iXCZnBPvO3H34dg33nuN+cP89LscHXHrB7lPyivuWB iBUHP0+i4o3fWQmwjgHM1SMENm6j7PSCJFTHmCD2fuaQTCRYFOBy3uFlEuDZ cgfVPSx5v6F7FlTilTLhvQu4TrJKqs0N3hfw4f4Auj8A11V6XRVQf/sjqxjU 747rMNkN2ZdgP/aJPwVTYX827su+yvRPDTH9UyNMHSOy3ObUOx554LqfO6+0 JwJcTHUahv2Y/uebYL0ImBw5aqI68ACAN1moXiS5v/4B/9BpoNeS8ruz0hM8 rviL6ktf+fomw/4xZeVJ7C0VOuCSMl2P0p0s0gjviUhO8ED3RmC7zb7Kje47 CBA6+B3ef4DpvVelUX++O9Ovj+tjJ5dUZMB+8uAoU9Rfjutpa0+bnIJ91OKt Z1FfNe6nfnTTzwn2kT4W3p0A+0rfLqT7SflcJsH6HuB0VS6CfZaWNnR9b7Vg sSvsJ/zwcx/qL3yO+823Pkf9b0HuHqgf7l8f3IVlqF8resUh1L+F641zo3i5 4X0Nv7MaI+H9DXhd745Ho/sF1FXdouB9A5heUiaF+uENiQ7UH4/rolET9/LC +q3J0gjUF47rqM8D792B9dt7s/sI2CeN667rZnYTsL79Me9GA+yXBUydVouu 67LSy1iofxT3jW6598wD1m/nb4gJgn2TuA589leEHaxvhypJPoF9frhu3A4K HWD91veewhLYl4brzLlcyahvquXJLdRHhdfFF0n36dQzfTpWTJ+ODIMPlxzX X3O+b1FHo3UhuWfB9fylG0kyZOFgHKyTVAdcPbEyLYK07G947MQfSlrPCkX1 pWzr2gDYx/JgSa8e39Jkcs/ILXtYX5rE5B24j2Eqk3dcYfojJMb1R/xk8g5N Ju9Yif9/atJp9bCu5e2E6lrkZm9J9N6UK+dQXStWxEsfvneujhqqazUxOAp2 6FgchfDVNsSnQoe8GqyDCV94jvjk/0jnTYLj8iY/sY/WcL1r+xwmwHqa7bXT 6L2F8+l859g4nMNmxm6fZ43FOUSLtaC6U8xs9SIoT+lViqjuxKfDz4ZyZllt LoD1KK/2H0jO7xp3ZN75IE4crmlcUvfgv/uKG/U381fPcGUF/Jrkfi/PnhXO fPedSq63q2SOsiJuZ+9rCbpOfGbss3Flqt+8NXcJgsM6/0pFPrHTiaZXJbzc vFg9jQAV65zTvn4jijt76XOKHwWbOA1yiJeVuv2iZ4aIlWdfI7oZc17zdxze eIPi6Xp+/6esDNnWve/ymgj2wABdF70aeFwl+AaLbyrfWzvbbII/g37vnmkj l1Pn2hKO/1famcdTtbVxPNPVSMlFGhSXUG5HA417RVLXi0pUKiXJFIVCUqhD gzlEdYtUOpSZJMNZZh1Kdeot6aqIuHXryDVe4l1rnb29n86n3n/ef/dnffZZ w/M8v++z11rP6TiTbFXH5gbT/U/lFip1P/XhwosR1OE2D4pHP9fuHj5aGq1M bdMyvJS/6b//tytP262yiN0OjeS6P5ZI46qPmX+Fr5bKbaL1wu1m9BRuWSs3 VIY/Fup94Pac/kye39RyupW0UgFqGLq4rsmaA+OGdEg+XtUW1artpgnTtkxx d0pYDX2vJmWT75kj93xr4XxovnyRsY+tBRzPs03C8UqePj/cJHJ+WH6saXHW oARY9lBm3kK+DBzOyBjG79lW5kkpSbygBop/v1756A/ulizhvL3ryrinsOsK VRO/slS2/BL3Of1/PdbqCbufcHZzFQOdlvE5u6l+en6q9ee0oXnhVqr5XSyL Vh719z75IzdtO4xgdSd7ei1lDr2qpDJwP7MOKdS5ijlC/0NRW1KzfOHBHDW/ evRcLHPsr11hXlBXt32uoXM0FLPd1B+J8qkd2nYVsZ7eMFVJ8Ny78yq0KGhy tke8bf+H8BzvIZFzvIn2qmJvy+aCu29btGzTWTDJ6EEb7mfTYIu7uXMLFTmv d8cG5xaujhN9zjDBOxyNkxo/4911NO7R8WbdcDZGdsCFy3ue/I30h7EH8wGj ysFN12DkbeOFS17egrJveQ2+AhQHpA4uNl7MgW69D0yaTxdCw27nbtc6xP96 LHeHmGtw8OxmSyuxSlgj/c7t9XnELUPC87EK9PnYXPp8bBe9f2Ersn8RNN/v 8e50FrDMa16NxgfnrRWOa2uB7U60ftS492mWaD1H15Hqzq+wrGNTOQ35bsje KcbO4+j9i7si+xf8yNJXunwZoGfUWoPsBYpnCu3kzBOBCfIfqjxY+hzyp1E/ mknvXziI7F+scr/Ba6hqpqbos/qQX47644/qVDw7tChvVfVGGFkavSBsHQus cpJ5ju3kX8USx3qPJMJYrfrgtM9+wHVjuVcnWvfXuXPDo7MrYNGqjXqdyznA TEXtzUc0nxEeH7fe2fUABrqYzH2gkQPu3OzaN11FAGT2XFfkcULAxcaF3psn HAA2M9wMV+Pv/HT8Z4nE/8s3d21H7wGSeT8twO9JeV1M3qMbtWRpnlQlyDj+ NoZ1+xoQDzqqeAP97thPTl71nVeB1Zlh7bY6b3AloYzai/p5WPOyDvJPUPvi XL9fghb4jT2OnA+J8PObiuIa9eVuUm5uZSXV5iCMbz+qU6F2TKdoW1wQlJ/2 TMXa0QMsGFk/nY2eP1RfesT5Qh40XJvf4KiYAlIa9zVs/UMAFGdcD+9r58Fg 7+Tj66vLgN+bcXwHKQGYSOvvCxH9bV8gcxa1BzoaKaT90hFj0j7v52j7+TGF IDHk/N57KzhAuTmTZ4DsOfylXN1t52jg1DtDxijcC1QqG3ZgP7WC46xRnAIq f6p+RHELLEoSxqv2AFZ5fls79TiuejaK99QDOs5rFjlNdWmLhpdP+EnovowA Ka5fvqSh/FTy4oj2Vq18GOjFVmrRygdbQ3y/7CoXACmdJg2FplvguMY0JVvL a2CDsaOeF/K7DJ7NrqIsX5DpYBzqJ+YILrDeHMXxRLoi2xDFU3D/q9wNFF9B Oh1Xywf9FJAOUcpT7pgjXaIYPTK23rGNehkBTZ5TFYfbosGWkkgB7k+aovgF MC0FRh4PPf/5Yh54K2ETbIHmeS/nZpQB8vfwD/JXBXkVYHggSv8RsoeM8u+f O/rF5lYxjzIHk77yUlBcBL21wnjoELeHx9X7QDV2jRkoKWulGF2Y1H+rqu1y FMXbNj4V6eqonnpdGPnVxtEDfuxU1bGJCwIdjnLEHiye30jpkT4Gl7db2i33 TQSFVecmYn/R+sH5nDWrnVyRPlHTp+xiI72iGJ1KkIgPQ7rOtZe674F0nsvo u0WzFT/HiAUlHhVGIH8FjUvln/+vcykDXAkLxA3cgrsCNcQRo/r4o3MXxnlD hDP6xywg3DG6j1C3gMSFh3NkCnCcKHEUxgfme46pyPecs28kCZe0bjlKOIXp /+PCwctYjx/Y3CX6zIx3yMz//Z8ovszOHAArfBOh/CoxezxvvGordTTPQPFI gj+aZzhbT5bM855ZWtsx3/AD+LGYd5h1kXhgRHT92fGZROeZdQxqdLTC+ldi rliP9dClVLjuHc21J/cDDmDV8Io78ipgQF+pcQ22n8UyMcjeQHvajhxkb/DD SgVib3Yy0/SRfQL43vMjsk/IqQ8l9tlja0G4SuXpU8JZjD03HzU4gHkityQ9 HfNFLG3/brKCGuQvcMKmqKvIX6BxfRPxF/fpGQbIv+DeOadmIv+CjpfMiH+x NS0+OiN/qJUbo4H8FIau6SF++s8XA8JtqZOi1mKOY/jN1vSfE5hXggNVOzG/ vEoUxgG5rPcT0pCub1yzewKKG9C1fimJGypVfH8UZ+Cp6Z37UZyB/mMsSJwJ 6r8ThuNYfk2aH4pL8K2FJolLf50PiZ2UUwtuZE7W7FpfDqXeJZ/83IM433vP DhQPwdmQma9RPIR/WaWReLgnGTij+Al4RYJ5KH7CVSxTso72vWzClw3Gg0aY NxnO7OefscZcNbZZ5yTmrJXVQr468DR74SPEH/d5B/bVIR6xMfJZjjlkX056 VJFUJbSXb1kRFn8Nbkjss8tE68hraCR6xP28UQvpCFR485noyKvy1fdrOCHw Xs9iZ6RH8F2CP9GjHIfBbVh3uhZ6Lsbtp/lUkvYrtqxLj8+uAKVN9wsrF3Dg mYKfm/9G7zf9ZFDScyQRyB2i1hUgv3cVN52F7VZWNzUE+6e+LKsW++uhZUI/ /VH9qBGapz1F6rFvpuuxS4vUY19J12OXMBLWY39E12PfTddj94z+th77Jboe u1rkt/XYVel67P0x36/H/kTy23rs/nQ9diBSj12frsc+YPv9euzNJcJ67F4i 9djj/8967Hb6eSTf+GQvzD8YzukceFmP842AVStI/sHw0hEDN8LfDkWKJZjH GQ7vMk8keUi4+75wnJcwnOZi3Ui4fOI0b8LpDNd9tAvQxlzbeFqFcG4izbeb kgQfhm9eA9kan9JMxCpBzNeTZk+RnXRa/6WLuBRwUot0EZcCeBgSLjXc08dF HAvE4ycoIY4FZv0thGPTLy4i+c8YHzAN50MM98pF/BvifKDAupnkBwwnq82/ YIN5Oji47gDma4arTwVaE049dauvHnMri+bVVPq7k3r3t9+dBOz3rqmIn5rY K194IZ6S1915AHMUO95IE+UFoI4l3m6AuONM1XaSF6QfW1+E8giQU/zmUwrS /+FJ6iSPKIuRZGN99cn6GoD1VvGxMN5SSb+R/O1ZgtYxnM8x+mKm8JXkM3oO V0h+w+Q1Mqw9JB9QpvMDZryp73QIZy/RVyLczazLrrFRhJuHZiUTjpag+Xn9 8MBXzH+3Yz8pYx78O1jIgS7TM5sxJxWMcVqHuekhzUv5Kd3XMa/Y9hsaYH7J pOO29wovwgdnrFIILzD6EimvTvR7/8Q4oueMrn1QS4rF+Zi0jy7Jz5jx/jk5 huQz3b17SX7DrG/01f79OE/InJNM8gbGDi1blpzC3B9q95bkAYw9G0qXDGG+ P3AukvA+Y/+Hl5WlYa6VnppGOJfh28T0E5qY/5619pVhHmQ4UOnd+52Yw1SX TyBcxuhXnL/d75h7gn+JqsYcxOisoWuHO+aSOwmqoZhTGH2X83H+BXOGQukM wh2j5+Vedod7VpXBMO/ZJu1IT6IUfC0PIh3xEC+qnIXibMx42d92ojitOnXL JFUUb2vn8XXnS7pDLUXZ2Y8Cz4InTXY7zND7DfJcalB78LhuLGkvp72RtF8t I7x/d1Xk/l0QfV8snL4vlkDfFzOm9+UVRfblX3UI7z2Fidx7Wpv1/f3x04FP LmEdCRxJuWOB8hq55BNER+alLglC/Qf8yTrnHwaehbdbvUj/c14I72XIidzL CDQtx/MAOP0zTNG4QK+XFhmXy2bhPQXJJuE9BTX6nkLDav0INJ8g4HbmWjSf YNOEHDKfR+l9ZwmR+g9Z7O0bcP61/qVa1gakd89LhfkXU1fhrvO3dRXu85LM 8PwP/iR1BPe/ssqH9F/OMjsEj8sjuVicrEvSXvK8JNcwDK/vQY+fjXF/TnK4 pD/B7FmknxvPQ7Lu0SYHyfNrHO30GyP5sPh4VTP/wmPg31Pk4FH1GUTS+5Lq IvuS/wGQtU1h "]], {}}, { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic, Automatic}, FaceGrids -> None, DisplayFunction -> Identity, Axes -> True, AxesLabel -> {None, None, None}, AxesOrigin -> {Automatic, Automatic, Automatic}, BoxRatios -> {1, 1, 0.4}, DisplayFunction :> Identity, FaceGridsStyle -> Automatic, Lighting -> "Neutral", Method -> {"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotLabel -> FormBox["\"t=2\"", TraditionalForm], PlotRange -> {All, All, All}, PlotRangePadding -> {Automatic, Automatic, Automatic}, Ticks -> {Automatic, Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{ FormBox[ StyleBox[ StyleBox[ PaneBox[ GraphicsBox[{ RasterBox[CompressedData[" 1:eJwdl3k41OsbxkllS1lCluRIolLaCOUuy8mkhUibJYUiWoiKSLIfiqiOSiRt SEqJ7Et2ZsYwxjLMvkgiS2nRb87vj/e6vtfnn/f6Pu/z3Pf9/HX87H4vCTEx sWbRERed/77Hbcu3ZqwehPGr4XwVWhnYf248t6czoH6L8Gv7czrSZcW9vk+W YWPamacZykxY91PLOLp0/DqpurRPoRyR+ntzhvcw4a/rGRr3aADu9YbdZWvL 0VlumG0Sw8Qd/3GzNVoDqNG2TsqwK4eOg1xWVCUTVcXhP4j3+qEbdsTm6qly nOeOZJCnmRD8kf0QqNqP2N5zv49Fl6Pmctt9rXUsKBLSL6um9WF4c+w7y+xy KCzMTz99kgXzW3qmZfJ92HMrw1+3qhzHsv+5W5LJgmd/0Xe3pF4UjhatmD9Q jkLj07fn0Vi4obujZI5MLxTtWuj87+UQa92Vul+ejWL/jotPY2gIesa43axc gX3uq1IybdlgFB812SVBA03i2568DRXInJC+ORLBhrSYcPrz1R6YH5Obn7Sv AqOxwkTTUjY2EIKLU35R8bB8eeUZvwpYaDYnxIyz4XJLInjzZSrE1cyC7eMr cKPweRzFgIPo/uTNvVPd8AyyX7vhaQUGreNitI9zUKCrNXUloBsNZG+eUl0F DHtPRvnf44Dmn/dW+0sXDNaGPZwaqkCY/87ID50ciL3fcqH+dBcSE1Kde35V oE18ZYSkLBerxBo2nhJQ8IX3YmGpWiU078wPd7LigiJcl/uzmILj6kzbnyFV GOIJdm8+w0UoJV37ZjQFn/QSa7TOVOORSauGSjoXuhUSd3WcKMipfjZYpVUD z7iXw9N1XLQ99Zcr1qHA7Ujdz2PEGuj13iztGeUiKLnnOmG8E6qTg0vmRNRC aBAQV6LGg1bIjh8DVZ0gJf3Y/NioDnkhTgfTrXloOJF37tyNTiSsVHG0Ztbh TKuxXshZHs7uUeZLuHbCumb9OW5KPYw01aaO3ONhiclV17urOzF7ZE9SjOVH TPj9rDP/yEO1tpCy6gcZxZOncldOfERxBf2W5hgPPjKOuyqbyDh3I6qx6XED Li2s9vitzofiZHm1w10yVulncXycGmHunm00aMPHB7qeCdeLDHZNmbjsvCb8 fhX1p/IcHycak19e2kRGxtEerfx3TagWO9mReZ+PBa9/LF8gQYbz1FfzPd7N iHQgZEQ08PH2nue9TDIJ8jcXHh5VaYFN9mo/j3E+XKM65DdmkdCsvyr4ZmML JCfkzC01BZh/ZktswxkSImttUo0utaLFakx6+U4BCg5m/z68jYStLh6FZP02 JKV10iQCBDi4Y8GFz7IkTE1daQ/obcM+7ttnnAcCvPplZR06nwTpBJ8xqZJ2 TGv+7lpaKIBkSehiaXES1LWclTLvdOChk82cg3UCVPG8mw2/EbHmjaXx5iAi bBKT1iVTBTjrSvUhjBCh/fhuPteAhJG6bpdmoQDaXTYyXkwiDD7LVRqlk5D6 c2nCnN8CkHa9y42gErHBJIoYKkWG+Ubv9+byQkTU6No9aCXC/NoPRsNFMli+ BZwLy4VYvyXt0/tq0X2t574q8MmIz55WKDAWglkgkUh5R8Te/57fuRNGfRbg E4S4tSJwzZdcIg66uyo//9gJmkKsn7arEJYPWG0yWUR4vKDoTWyi4CqBmH74 nBBfFff7690mwneCsMUihwK9a6qNt64LkR1fI2eZQETgtmpCvFIX2kvcJ1vv COEotr7A9SoRV2KNj3ZFdiFo7Nlf83KFkLiYtffyBSKiyfl+y752QVN/bK9F hRBvPy/6kuZDxE2N5eG+Ht2oc99y5SJJCE/PqzcL3Yj41yv95jtSN3zvRrwo ZAuxuH90XZsjEdmvFj0S206FIrGJKpwW4qODG4lvS0TuTPQbu1dUlM5XmLtc ZhhBTe3nJCyIKLL6VXdHqwfHLA6vd1k6DPr/dYKI7RHOuQeie7A6VqW3Q3UY f9dYPtgWQ0RbeWHy4pEefCNSInYoDqNg2+/XR0R1Ozwjc5Gyn4baJSn6bxcM Q+XD+8aLHURwN3u53iqlIcljL0lPchjhxgH0tK9EnA+osnLQ7sWhXNlL6eLD CDx8Z+aQqN9mC9RWycf2QneiadmCX0I8uxsYdXIpCQmfAuWJn3vxxTymMVz0 XwPd9ouC15Ggqt8xneTUhw9RVmfHx4SQX7z2XtQOEnI89em7y/oQ0y6m6vlJ COv9sitSHUkwehRZJ6vTDweVykoqV4hLyYJXj7xIKKcPvGiJ64eme6g3gSFE fsdHs8KLJNiqmyTHf+mH4NmWheV9QjAWPP5YGU8C1Tkl2NZ5AEVjU+/Wdovq bxdh336fhOOpn1wkKwYQblrk+ogohG28a3//SxJGiTZWDcvp2BV5bt7iFiHC Gs28h6tICF2QZRCdQIdyq+HLmHohXs9bMv5dNNeShB+LrMfpYCh9cpqpFIJr NRUqySEhLdppes6hQeS5PP91ulQItcjO+SrTJGjXFgzUVA7i4hOvnMEiIfZU v0rRFc1J/qxUXcSKIViO6ux2KBDCjNV3r1KfjKgCIS82eAhwdMpOSRNi5dz5 OYcIZLi5tcjcbByCeUn0d3KIEEp6619+9SFDI/aAqt0CBrYsfb9X0UMIMVuX 4sQEMiSHbF50bGJgc6QgZ/9OIUZ8Yqv08siYNDY23+/KwAa+2s9bhkL0/vOm qbqVDMYNvfbuaAbW7bZzoCgJ0fCSTj4yQkY7T8X9cAEDa15feab0Q4AiolT/ 5IJOlFpIjg9QGTBQKfjtyBAgc3wj54ZhJ57c+RZ57A8DeqFDjmkNAiQquX/W 39uJlFH+Ys5KJnQY8rld+QJc3pwwXXumE2F/056etGdimY2lmHKqAN4H3/1x udkJ34dNWz5dYkIzN9D5wGUB9l9mSH171Qnn6ZKWM4+YUFv0JP+2uwC4L6uY QuqE5d4XLl+bmVC5QJ1DtRFgTYWxxmqRH619mj4a9JUJpV7JwyprBFAb8tD9 qECBxmx8xIw6C4ssTF85KwowTzzJ0H0DBVLOIYphViwseOw77+53Pr7qlBjP 7Kdg8qVvjpgfC9JSD472DPJFvs1GaiAFjHlHjaPSWJjv3/5a9SMfrd4LCYZp FLS52jVJVrAg0TkreSiPj3yR2w1VUzDKfqPR2MuCiW6Obl8UH4khnZSUzxQs 8lU/GzPNgl8wYYeLGx9+UZvUrNW7YDR2rdZGiY2splHXQRM+9ty44zb9dxcc goXK84zY6FZPCzmmwIfhv98fPw/sQsAve5/63WzI+JveZQ3zsDD7iPBIVhdS I0vKr/uwsa1qsMiznofRvPK1cu1deCulLW8Vw0aAQhSJl8FDxzutC1UzXei+ EXtizmM2np0w+HzqIg8FVRGl5/W6Mb34S3FNFRv97zqkP9nzcKOZNbvcsRuq 951lrg2wIS91Qc9/FQ/nKNbW1KvdMP2r0nX7DBvWR9SsvkjwYE9/Gh+X340j z1a8/qPMweX8SvfzdC6M+FJEs95uhBgmza3awMHL2RNXJoq5kB/3Xfx5HhUP iiYPhu/jgGUvnR6UzMXYj7bDmRuoKDd1ydvmx4HK44J333y4IM9dl+ngTsVg Vd3srzgOdk05dl4W5Z83C1M4EolU/LFZvb/8CQdXd86M/tTk4taSCYPiEiq0 2249Ca3l4G36Q9nwaQ4CdA6cPcWlYsf+H9/NhjgQfLLSFyNxsH/N+7fqij04 TvPY/eMnB0sthNaRLzhgWpR/H9nVA7Vl3uv6F3Jx9XOuw+FwDs451Gytut4D opevYvlfXDAf+LkZOXIwe6IhIqW8BzH5Z6YebOLCevfa05L6HCQGt9afmOrB 1okAWthOLp7+/HJx8Bcb6vEkKeO1NEyYXixzO8KFdN7rqHdkNnLvd++WOklD bkToQ/hz4XskMCXxKRtbCvqS+zJpONZ49Zp2BBft0psfnghlo6F6qCufRoPq wihP8VQu1pVO55rZs+FE4Sy5qtCLdqe4nawnorqcKnmvsIINFlfo4rCrF1H3 E1fVlXAxqRpSL5hhIeD7aNby670wZyXL5bRy4dxoTq7qYEFMdpIzVdaLcf3b Y1GDXJQG/6bfeSzK4Utn9Jsme/H8bDrFa5wLDb2qYf9LLGgazfrdM+yDW3FG 8d9zeQjvjvhmvYeFPEuJ137efVD+/Sh9pSoPjCjLuZo6LJgdkJqyyOxDm9XT K1KiPrPcNFdhQrRHNJ2UM1Wg9SEyIddduJWHHPbHpS2tTPw3zmz5fpiSCyxb 9vEgmRq76lEWE9xE1Zp3hH6MqRatyDvOg68lweRSEBOBmZrz4iL78dTtvVRi EA9t4zLW+3YxMWhV+222oR+j11lhstd4oL4Wc7n6FxO2gpPDQbIDMH4hN5GQ yAPr/HTgq+8MvE6Uo4/sG0BYx5ZTMv/y8Hn9yD9DRAY01hcRT6QN4OPECXr8 Yx6+jzMfL3rGQFT3odo+2gDk1G7ul37Fw9w3PWUIZ+DL5dm3DkvpOGDxoTHu g2ieA9opZw8wcFgr51mTBx0PTnC3SjXwoLah7lPmGgZqawn38JQOTpz8m1gy D7pfSyRIEiL9PvklsXiYjjUF5isl6Twc83Q1ESsewh3Z21cN1w3iAsX7QYyA h2CO7cljnkMQKzQLyAkcRNn3FIX5kzz847npbrXiEHydGJ4aJYOQ0KqIif7D QzZnWaN2zSC6vkcfvPVrEHZWgp9zZfko8ZT9FnF2ENsyVu+S3jGE1FNK56NU +OjgTOsxlw7i2Q7y1ojoIfQlWfAkdPjgerKcd7TRocgLXveteQg6RT5Hrxvy 8YPTHvMohA4Lm4UKJpIM+NLSSHNM+ZD3Ki0WN6AjQNUjIcCAgTe/q2wirflY yc3hefQM4JmwSKLAjoEZnU8fxO35sPBKVqmNHsBA2fwwoT8DO2xVjK4d5cOJ G/q3zqYBkDqKHkemMXDQ1klC34MPa6vTw8yxftQyj7VolDHgb3uL2uHNh8mj IzcevewX7Rty42+ZDETakl4E+Ynu/UPY4OHbj1zJMtW9Ukz8a7swTDOAjyWu plTtlf14oH7Kgr+WiQLb3fZ1F/mQKdMPYbD7kGyo7BVxgIl624TlvmF8/Fyy RCsrS9TH22v/UbvCRJ9t07T8dT5GgyVr3V37EOx49s2bbCa+2M5veR8n8qGu aa9l6n3w8dbstRP53zyCdYbbDVGdN/Ckh6i9cLnc/IfzhQkNgijgpPFRk9z9 8mFqL/YlBuuFq7CwnlBtlZ/Ox+vRegc3+15YZi7fo7qNhZ2EWRXHTD5ydr+d WirXi81vSIGFJ1hwIWwdnsnhIy33cTq9mQaDj2H3CAkiPSCEVGTl8hEtlbot Q7RXa9BW1bAKWYgjlCTvLOTjknck08WKhkWfevihPSw8JEyfGH3Hx6n689Ga YjSIz0YtVJ5l4S1hk8ntMj6O6ngYDIj0cUp+w+YCXTaaCQEyW2v4+H+cu9wD 4fKhozvt2BgiFNJZor3LfBDnjxr3oN84MZJxno0pwmhhfBsfa7euU9aYoCJj z8jf9elsVFvuiFIS8b+I8f/611Lh6rlb9nkNG4nmaQczWvlQPs7RqE6hQis0 n/iPkI2Dm/irVor4f6qj6EEFI2VB2lkFDnQMzWYLW0TvFZuu42VERdZzv0OO phyMrkgim4n4mPrkk/d/unG8qk3TxIODUi1GTn0zH+yXew1kiN3Qoa5hqsdz EKW68dJeEe/Z/iLf5WE3OCOJT2YLObCXj7GjNfHRQpEweuXfjScSn31YNA40 pHu1jot4hbdbkfi2bnir71nbIMYFT3zN10+NfLyZKTF2WtCNlaJ4+EJf5Hs/ wj8GiXhOotKHp/1dEO6Ue59kz0XYBPnfP6K63V12ZttMbhdeuPmHnr/EBWFE 1y9exBNFsdAupAung9pxIIuLxdyLUBLxcJvl1g8JXVidaDjXtImLIXqLYoYo 9wTSwhrHlnRhJDupSXOMizzqUp6eiHufpu2yElBQUPo5UWyJSF+I50oL6/k4 PLuh4/Z7Cs6Q9jhwwMOOprpEMxHfm5LkIIihiPLAS+WmkzzI1agcq6/jY7uu oMvMmYKx33J9eTd5oJX6bNwr4pvfWx5KWkHB/wCfAq8h "], {{ Rational[-15, 2], -75}, { Rational[15, 2], 75}}], {Antialiasing -> False, AbsoluteThickness[0.1], Directive[ Opacity[0.3], GrayLevel[0]], LineBox[ NCache[{{ Rational[15, 2], -75}, { Rational[-15, 2], -75}, { Rational[-15, 2], 75}, { Rational[15, 2], 75}, { Rational[15, 2], -75}}, {{ 7.5, -75}, {-7.5, -75}, {-7.5, 75}, {7.5, 75}, { 7.5, -75}}]]}, { CapForm[None], {}}, StyleBox[{Antialiasing -> False, StyleBox[ LineBox[{{7.5, -75.}, {7.5, 75.}}], { Directive[ AbsoluteThickness[0.2], Opacity[0.3], GrayLevel[0]]}, StripOnInput -> False], StyleBox[ StyleBox[{{ StyleBox[ LineBox[{{{7.5, -75.}, Offset[{4., 0}, {7.5, -75.}]}, {{7.5, -27.}, Offset[{4., 0}, {7.5, -27.}]}, {{7.5, 21.}, Offset[{4., 0}, {7.5, 21.}]}, {{7.5, 69.}, Offset[{4., 0}, {7.5, 69.}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]]}, StripOnInput -> False], StyleBox[ LineBox[{{{7.5, -63.}, Offset[{2.5, 0.}, {7.5, -63.}]}, {{7.5, -51.}, Offset[{2.5, 0.}, {7.5, -51.}]}, {{7.5, -39.}, Offset[{2.5, 0.}, {7.5, -39.}]}, {{7.5, -15.}, Offset[{2.5, 0.}, {7.5, -15.}]}, {{7.5, -3.}, Offset[{2.5, 0.}, {7.5, -3.}]}, {{7.5, 9.}, Offset[{2.5, 0.}, {7.5, 9.}]}, {{7.5, 33.}, Offset[{2.5, 0.}, {7.5, 33.}]}, {{7.5, 45.}, Offset[{2.5, 0.}, {7.5, 45.}]}, {{7.5, 57.}, Offset[{2.5, 0.}, {7.5, 57.}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}, StripOnInput -> False]}, StyleBox[ StyleBox[{{ StyleBox[{ InsetBox[ FormBox["0.`", TraditionalForm], Offset[{7., 0.}, {7.5, -75.}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.2\"", ShowStringCharacters -> False], 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, -27.}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.4\"", ShowStringCharacters -> False], 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, 21.}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.6\"", ShowStringCharacters -> False], 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, 69.}], ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], StyleBox[{{}, {}, {}, {}, {}, {}, {}, {}, {}}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> False], {{ Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}}, StripOnInput -> False]}, { "GraphicsAxes"}, StripOnInput -> False]}, PlotRangePadding -> Scaled[0.02], PlotRange -> All, Frame -> True, FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> Opacity[0], FrameTicksStyle -> Opacity[0], ImageSize -> {Automatic, 150}, BaseStyle -> {}], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]}, "BarLegend", DisplayFunction -> (#& ), InterpretationFunction :> (RowBox[{"BarLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Blend", "[", RowBox[{"\"Rainbow\"", ",", "#1"}], "]"}], "&"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "3.473044158385925`*^-8"}], ",", "0.6252471952264516`"}], "}"}]}], "}"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", RowBox[{"LegendMarkerSize", "\[Rule]", "150"}], ",", RowBox[{"ScalingFunctions", "\[Rule]", RowBox[{"{", RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], "]"}]& )], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )], ",", TemplateBox[{ Graphics3DBox[{ GraphicsComplex3DBox[CompressedData[" 1:eJx1nHm8TmXXx48pyni6kXAynVKSVIYSzk7IlNCEesykDK/ILFRkHjNkyEwZ KpRDHM42hh7DYzyGDCX1ROb58Tpv7vv3XffZ13ue/tmf8+2y77V/+9prr2ut de1irf6nUduMMTExD2WJicn097H8ojy7U1NL+BybD55Y+dSpJWv8WrmKjo8v ZrzIQ6NHP1qjdZVJOx84UWt8YeOhYU9fP1tsVpUl2UMDOx3Jb3xLx7iffqu8 tcqG8Hlio+epsKlKtzxnqnwbHn+P8R61vvx5fe5MVb8P82vJ8I+n3QgNaBlb NSb836kkeL++Nca9eiVv1VmR8Qnw1ufOh8fPj5zfg9+Ku3P07vnXRuwxXnfX lLA9X0XsN3608X3b79o/PnK9xvu9XCZ8vesi+hj//pP+YX30t/G/jU55/9LS NfyNrmf7vBMez98cfz036IUcn2yuis7wr0Z80mf8k7erojO8Ynzf4+UHP5yA zvDp9Rt+dGdJjQR0hmc+frPYv996OwGd4S/mLJ6z7KH2CegMz3exQ41Hj3VK QGd4dY1HZ/g9Oj86wxfLHnSG15H96Aw/p+tFZ/ht6YPO8JiYFqPS6O+jX/PY 4uH7xTj4QZ2fvzleGdluW8zIsgnoDB898Up8s5Vvms7wMntvly50ubvpDO+1 te3k4XuGm87wiZnfyj2l6yTTGX61wpBPu06eajrDp2k8OsM/1/nRGV5N9qAz fL7sR2d41lGR60Vn+CXpg87wmJix1+7qic7odLlfyfDzjs7wyrq//Hv4KNnD 3xx3jP51SYdCA0xneP+OLT7c13Gq6QyfkmVohhdTvjad4dOzrGlReMRK0xk+ 7tqF0iO9NaazOx6d4WN1fnS28bIHneFHZD86w7/X9aIzvJ30QWd4TIwf9j/o jB6dp84L+yt0hvO8ozP8Ec0HzgsfLvv5285zuN+TbyR8bzrD2+Q4Mb/HpE2m M7z5n9P2bd61w3SGr5jUcv68RbtNZ3hTjUdneHudH53h38gedIZ/IfvRGV5d 14vO8CTpg87wmJhZYT3Rmet+4eaE8PsIneHZ5d/QGd5DzyM6w2do/vB78Na6 Xv7mWLLc9i/OD91jOsNnfVFyU74zB01n+ITaP+3J1PqQ6QyfovHoDH9M50dn +AeyB53hy2U/Ott16XrRGV5d+qAz/G//HH7/2vtS1/ds6Jfw+xqd4byP0Bk+ Qf7QnivxqXp+0RneSvMNO+DzpA9/c+w59I/Bu7IdMZ3h5xrUyNZ+w2HTGd5J 49EZ/oXOj87wdrIHneEzZT86w5fretEZ3kv6oDM8JmZpWM808Uf4Okb26xeO l6Lvywh/QO/3qH+P8KwVI++jqD+K8OHyn9HnJ8LX6HmP3u8In6j5GbUvwi9I T/7mOOjRL+s+3TY6n+GnNB6d4Z/o/OgMXyt70Bk+V/ajM7yorhed4TWlDzpH 7S0a1hOdsfdAhpOB+Qyv6cxn+ExnPht35jO8hTOf4Yud+Qzv48xneLaGwfns jkdn+//OfIZ3d+Yz/GtnPsN/cOYz3J3P0fvvB+Yzdi1t1T7gn+GFHf8MH+f4 Z/hsxz/Duzv+Gf6c45/hXzv+GT7F8c/whY5/5ljB8c/wgY5/hq92/LOd3/HP cNc/R5+nsj+n9c/8fvFpXwXiDfgyJ96A13TiDfg8J96AL3XiDXgvJ96A93Ti DYsXnHgD3sOJN+D9nHjD1itOvAFf48Qb8FZOvAE/5sQbUf/kBeINi2s2ntie Nn6Gv+HEz/DFTvwMv+HEz/B5TvwM3+zEz/AVTvwMn+rEz/DlTvwM3+XEz7b+ c+JnjoXGBONn+G4nfoYPdeLnqL/3t6WNnzlf06QygfUg/E9nPQhnfYTO8NXO ehBez1kPwuc460H4Kmc9CC9cMbgehK9x1oPwRc56EN7CWQ/CdznrQftdZz0I rzAyuB6Mvj/LXk+7HuTf1azVNJDfgN93PpjfgOcYGcxvwLs4+Q34QSe/Aa/j 5DfgvZz8BryBk9+Af+TkN+CtnfwG/FcnvwEf5eQ34N7IYH6DY73zwfxGNB4Z OCZtfoP/P+rhnU/81maRm6/zTtRrNyqdfJ23td6D6eXrvEyF39+eTr7OS9iY kF6+zpva6Hx6+Tove+uh6eXrvJq/b0svX+dNeqxTevk67+z5Nj+nk6/z+h+b XTmdfJ33yMnmP6WTr/NObXkgvXydV3jO5lHp5OvuxndDT51atKZP79w3ao0v 7nN8otOv1Y5PGGbvR/gbzVde77CyThX97cGfCY43/rf/v5ZmPOfxyqV/fu/2 /HPpnd9rqfH8ze+M+OW+G2nPb/nMF0NpueUnj9X85no6472fhz4YHu/Y/7c+ J8LjU2LztImvXcLnOCOlfN8ZfZpU1d8e/ESQM94rdyjd8V4Dcezj301P6n2t 0cBS/K7Z3yXvP66k4WZ//o+K3bjL+Zt/9/dzdD2d8f7llvWupzP+7/vlX0jD zf78f669no49Xsq9seHfPTch14HUAdG87qu/XduwaM+Gqq+kFliVmhpnvzux qrcyx47Pq8AZ//zuc1W27LpadcO+vJtSUwtE72PRIgeqLPSrwBnfvtqB+28O j9NzFbLxS7fWaHxgzIkqcFtnP1D2Zt1czyc0CP9uThtf98fh7171r1WBM/7Z wiWvftq+YUKF8LhM0Xz+pucujL19T1U4469VuKfLxpQWCRXD/HI0n19xztxD e2OrwhmfXPvxvLt6vyv/7Fuev6/y/M9ExlueP8usqeHzMJ7zhOTPGQ9P0vnL Rey0+fPlqMTzd+2HM/687K8f0cHGP//lnfZ39YEz/mnpEzlPyMYnPZ0rrD+c 8YnSf33kPtr4bTu77r97f+GM76b7G/ndOBvfoP1z4fkDZ3wbzR/NQxtf+scm pV4v0oL5aePf0vxk3vLeaJL19ednLbxh8xa+7/xf6z/87rEE5iE8sc+tf69u 3sDmIXz6jecSL53oYPMN/tQT+3uc/XOgzSv4opTnepd7c4zNH/gvw72q5a5P snlieXvlz7nv8N80nvsLX6Xzcx/hz8oe7hd8ruznvsCTdL3ob3ZKH3S2eoT0 RGfewzOfXvTkmH3FE9AZ3qj2d3WWdm9kOsNfLjm4yGuLupvO8CJf1fv+4IPj TGd41vj1Qwp1m2s6wz/ZuP7ZE6FlpjM8aeMLTbdnWGU6Wz5c8T86w3/QeHSG 99H50RmeQfagM/xh2Y/O8Hq6XnSGt5U+6AxPlJ7oTFzTsdm365pdr2Y6ww88 uvX1pBLvm862frr+WdNd48ebzvCtV/fVH3F4kekMvxKb/3DnAkmmM/x0pjHv bz+1xXS2vPueFi/28Haazpa/1HoWneFrNB6d4Sd1fnR27UFn+E7Zj85Wb9H1 ojP8lPRBZ3hf6YnOxIk5227P03F3Y9MZ/ubD0yv9GDPYdIa/NvqR46dLzTed 4ftyVms3JEeS6Qw/+U2mY2s3bTed4UNGtyzZ++Re0xleJHR7cKhgiukM/0z5 GXSGF9B4dIZ/ovOjM/wX2YPO8MOyH53hTXS96Ax/T/qgM/wJ6YnOlreuc7zw fevams7wY6/+VTdp+jjTGX6lw2/5lv5rqekMn5HYL+Oi7ZtMZ3jzCan/yVd7 j+kMb5oyudyg5SmmM/zTYuUmZYw5Yjq7+XN0hn+o8egMb6DzozO8sexBZ6uv yn50hl/Q9aIz/Kz0QWf4XumJzqxjRm5Z3rB18fdMZ/i+rXlKDjkxwXSG13jp u8bDP/3OdIa32ffF0h/7/Gg6w3c/9+4bW8/vNZ3hHX967MTR1YdMZ/gvI5Y1 WD/psOkMJ3+OzvAUjUdn+Fs6PzrDN8kedIa3lP3oDK+n60Vn+FHpg87wudIT nVkXrnTmM/y0M5/hN5z5DHfnM7ylM58tr+7MZ/hIZz67+XN0dsejM/x1Zz7D mznzGT7Hmc/wW858hl905jPcnc+WJ3f8M7yj45/hTR3/DD/t+Gf4Lcc/wz93 /DP8ccc/23jHP8Mfcfyz5fkd/wy/7Phn+B+Of4Y3d/wzvJvjn+FlHP9M3qK/ E2/AzzvxBjzJiTfgvzjxBjzP/cF4A/4fJ96AH3biDfh6J96AH3DiDfh1J96A 57o/GG/A/3DiDcvbO/EG/LYTb8A/d+INy1c78TO8vRM/wzs48TP8WSd+hpdw 4mfLhzvxM3yvEz/DpzjxM3ynEz/DJzvxMzzeiZ/hCU78DO/pxM/wvk78DN/n xM/k1d5z1oPwi856EL7XWQ/CtzjrQXgdZz0IP+qsB+H3jAiuB+GFKgbXg+54 dIYfcNaD8FrOehD+T2c9CE9x1oPwzBeC60H4dGc9SJ6yu5Mvgg918kLwVU7+ B37HyfPA2zr5HHhcxWDeBn7Vyc/A6zv5FvhNJ98CL14xmFeBt3PyJ6796Azf 6eRD4POcvAd8jpPfIF9XqdHox+7mQ5y8nDf14dhwXsXJv3lr8iwL52ecPJtX Msu5N+/meZx8mhfTYXI4n+bkzbz+31YM582c/Jg34bMGgbwWvIby504ezKu7 /tnweCev5SXW2hDOazn5K69L7Uj+yslTec3OJIXtd/JRXpOSNcP5Rifv5DU/ GNEHPTme9p78ZvpQ3+Zt4ZO5RnY6Usw/+HLdY1+XiM7buk/krnakQnE/e/Nu rT85XdDmLXnoHuVGT7mzpHzUD2/O/U3iX8X994fEx52vXsPm7UHlaX8scfxi 2UO1bN5maZan4Ph5JfyNa5PvL32sis3bcsqDbd761vi0emJ/hSJdi96Nl9AT +2e2zlDkfPXXbd5i//pVre5JKPC8zVvsL9P447EVB+eL+mHZP25su/nLSvxW FT2xv/tX15oW+GS+zc9L7QrUi68d55/p+E7ptP6WY9vGb1Ua9Puj0bzQ5Afj jyQ+5M+pMbvtppsvm573li04NrFTEb/ZkhtHqs9sZ3o+0ybnnVr3F/XHLl2w t8Ou7qZnq6U5v0/sVNT/6NgPm/dt7Gt6jr2d8734bUX99h9lrL2uVC/TM1n5 w9qOH7go+/e+Onj0ukITTE9dt1+/Z7NLfRYPjuaFZP/1Li8fHN2ii+l5n+wf OGPn8nM1G5qe5WR/jxM/VKt29DHzA9h/XvVc/AD2b1vVutLiNH4g27zQ2Vrj H/Ab/++Yh9PGD20r520cX7uAv+byU2USf2sYzQvpOHnWlgYd9nUznYt0ylf2 SOKD/h8rvm1e548RpnO/LPmnJ3Yq6Ncc/MTAMrunmM6Hv8ifbXx8Ib/r537p bDtmmc4VKzzwQacjhfzvc1/JUHPOLNN5gvKHOZ33WlbZv+DYwfYfdF5hOreR /VvaxLYeXHZhNC8k+z9ukry9/4iJpnNR2R/71IWOLw7pYzp/KPvpN0Bn7J89 /cb8+s+Usfca9k9Y9sjItO+1h8LPUaw/ZH2Z79PGw33Dz8v9/qIJ/XY0m93F dI7UVUJ+89TnMjW8f5xT1wj5k0J1/8zx1IJo/FAttvKRxLx+3YKpTx4e953p fOFw7FeJnfL5ja+fuO92gdWm88vd7s87Pj6/36jLayWzn08ynRcpfzjdidPi ZH//fgeP7t/2k+ncR/ZneW/A0MqtNpjO2L962PVOxb3lpnMF2U//Kjp/JvsH Zvur38tL+prO2F9o6skOjwx4zXTG/noLljRJG6e9E77v2fzU5P6Z067viofv 773+lGnjzkz7YJDpfCR8H7P77/+cp+SYb+Y6efscfkzBkeVjT600nTn2Wlxm fv9Km0zn7OHnNLcfn9L3WOt2P5nOrcPPYx7fn/mPrC9V3G06+8ofrnLWHe1k f/LR+rOyZjpoOheV/R3iz3RZMutfpjP2d1E/DzpPlv0bOhdNWTNxmencSPZ/ qPmPzjlkf+vKP1++v3JX07mV7J/4Vc2Dadcd8WF7biaPWZIlX9p8xZTw795O vlAqR5dWL0XzFZHzpyanNCzUc9bFb03niA4Z/LNX+9c5M2eD6Rx5LjL6Gddt 69N0507TmWPVbf+a/PtX+0zni+F5ksXP/triHDE1o+voxcofTnTW0cVk//gT g3Ln3xfNC02S/dPVn4bO2L9z5PSvX6q+28knZ/Bn/fhQh4xl/KjfkP0d8x74 bMHRBaZzRdlfS/4fnS/I/l6zPyyadh29O2z/luTcl4rUT5t/SwrzA8kretdv 23xVNP+2OWzPyeQRxYdczVcimn/7Jjz+dPJjjceu7TBqi+n8efh6zyYfvtLv hdwH9jh5+4vJve578vU/Z0XzQhx7vT3r2Fv7Djv1kf+f51wl+38TR+elsr/K lPHJPf4Zzb9tkv31D53Js6tVNP/2nexPeXr41SyrNpvOM2X/4rGxvePLLzOd N8n+7HO/zXlqUzQvVEH2N1Ccg85lZW85cXReEzlPQmadB53HRH43YZl+F50X ROxMwE50TopcV0JjXVcw/3Yg4RXpgL6TI7olXA70CZPn9JMGO3lOjv10X4Lr josJXXQf0Xms7N+j+47Os2V/cc0TdF4h+8drXqHzVNm/TvMQnWfL/oc1b9H5 r8g899ppnqPz07K3pp4LdO4deY689nqOguu7DN58PXfonC3ynCbs13MaXEff Tlii5xqd4yJ+IOEL+YFgvuJaQlYnz3lO9ueVn0FnjtXll9AZ+1PXRvxYMC+U wcPvoXNm2X9cfhKdx8r+jI9H/Co6PyT7v5EfRueWEb/tTZXfRueIPrm99+Tn 0Rl7P9V7AZ0jcVcOj/cIOh+KvHe8HnrvoHPEnnu9XnpP2Xsw8l7zdui9hs4L lT90/bPeO95GvTfR917ZX1LvWezm2Ffv5WC+IoeXS+9xdD4o+3vqvY/OcbL/ e8UJ6NxG9hf1I3EFOteLxCFeXcUh6Hw+Erd4BRW3WF4oEud4nyvOQWfspU8V nSPro5C3XnEUOivu8nIp7kLnyHot1hupOC24Ton11jnxhuIor77iQHRW3OUR N1peSPa/ojgTuzkuVFyKzgdkf1fFsejcW/bvUNyLzoozve8UJ9u6NBJXezMU V6NzZB4W8uYqDkdnrTs89p056xSviOJ8q1/L3oGa/+isdYT3m9YR6Kx1h7dc 6w4nfvbGO/Gz1gXeIq1r0FnrCO9drYPQGfsbaN2Evg/J/tjEyDoLnTn+oHUZ OmP/L1rHoTP2j9a6D521TvR+1zoRnbWu9DKrbxOdtY72hmod6qy7vdFat1o/ RmSd693UOhedsbeO/L/FdZF1tHdC62hnPejlddaD2P+a1unojP39ta5HZ+yf rDwAOmeT/b2VN0DfxbL/Z+UZsJvjOOUl0Bn7n+gUyWOgc9ZIfsYrenB94l8T 3jWd6aerpXwIOi+M5E+8z5U/cfJFXnnlW9C5XiQ/451SfgadI89XMS9J+Rx0 xt5Gin+c/IZX08lvYP+zyi+hM/YnKR+Fztg/WvkrJ1/kzVW+C52VX/JaKD+G vspHeZXqR/Jpjp7+FenJ9ZAHa5oS5Bf0704pX8d5zur/Z3ohwD2ORR2u83t3 nN8lT7ji932Ppek3s77Bw9s7hPvQbL+3/j99koyDl7q/dng8fVQWtyp/Tt8P fKrqF/SpwOn/oa/C9FP9zvoV6LNQ/ZS6NXy46tfUWeErNJ66oOWZdH7qWPDe soe6C3yR7KdOAO+s6yWvDW8v3dCT56m58uHoCT/7+iPh/C16wveqjoOe8IbU 0aQn/KjqdOgJb6w6KXrCj6tOjZ7wLeoTQE/4rxqPnvAuOj962nXJHvSEt5H9 6AmnboWe8A+CuhnPGvNi4l3dbP+1/FPXQP2lhPHk4yXC+XPbly2+QnUi25dN HKo6nfWHic9RndT2ZYs3Up3a9mWLX1WfADrDa6lPw/ZlO+NtX7Z4A53f6rXi ibLH9i+JN5b9ti9bfJeu1/Zliy8K6mb8noH7w3WW4L6GkPXNBvdBhPyjlSuG +2yD+x3+jt9VpwvudwhZn2Fwv0PI36w6dXC/Q8j60IL7HUL+dPVpoDO8hfpk gvsdQv5UjQ/udwj5+3X+4H6HkH9M9gT3O4T8srI/uN8h5CfpeoP7HUL+iaBu xrPGPBrWDZ15fz6vepz1GYtXfrxbuJ6FzvAyqpOiMzyH6tToDL+svkR0htNH Z31g4v9Qnww6w/+pPiV0hjfReHSGn9b50RmeXX0L6AwvKPvRGV5T12v7iMSb BnUzfm/M8HDdDZ2JR26ozxydbb2+qWi4PojO1negOjU6wwerTwCd4fSdojN8 qPpk0Bn+pvqU0BneQX1i6Ax/ReNt/6pzfnSGX5E96AwfJfttv5k4dXl0hheq GNDNeJaYouG6p30fR/Ed+wvQGd6mxcRw/RSd4afUN47OcPqc0Rm+RX0y6Awv oT4ldIYH+yRPJcFPqE8PneH9NB6d4QV1fnSGb5c96AxfL/vRGZ5BfRHoDL8c 1C06PqZZWLfg9wT8JL4XBLe+AEd/xo/QdwngjC/9/oTAfWH8PVrvwBl/xrlf jB+mdSic8Wuc+8j41coPwBm/3rm/tg5T3gbO+Eed+854vnsAZ/wwZz4wnn5O OONvOPOE8aec71Qwfogzfxj/seyHM76wM68YnyR94Izf58w3xs+R/nDGb3fm IeOL6P7CGZ/ZmZ+Mr675Bmf8BWfeMj41tUja+WbjU1M7BOYz6znXP8P/vf3O +bT+GZ7o+Gf4R45/hp91/DN8guOf4c0d/wz/wPHP8Lcd/wwf7fhn+C3HP9t4 xz/D9zn+GZ7X8c92/tSNAf/M+riyE2/Ae9xqFIg34BWdeAN+nxNvwO848Qb8 ghNvwFs78QZ8txNvwFs68YZ7fnSGxzrxBryQE2/AaznxBryJE2/Ab6RmfTdt vGF9VU78DM/crmwgfrZ8phM/w0s78TN8jxM/w39x4mfL9zrxM7yNEz/D5zrx M/xPJ36G/9uJn+GVnfgZvtOJn+E3nPgZfiv14Jtp42fyNx8760H4/x65sT/t ehCe7KwH4c2c9SB8mbMehLdz1oPwO856EF7TWQ+anc56EN7RWQ/CNznrQXhP Zz0IT3HWg/CtznoQfntA9cB6kHxYSye/AV9/9tlAfgP+q5PfgL/n5DfgZ5z8 Bryzk9+wfg0nv2H9Mk5+A37ZyW/AP3DyG/BbTn4D3sfJb8DpOw36jThvupPf gN9IfXFl2vwG+bx3lF9y8m9ez/Tzb15y+vk3b3z6+TevXPr5N29v+vk3b0n6 +TfvcPr5N692+vk3b3r6+TfvUPr5N29e+vk3b3Ywb2n8emrc43fzlvTz2b5w 9fXRfwZ/TfUI+qXgQ1UPor8Hfkt9PvSjwOlLSVH/ATyH6tFnVceFN1I9mrop fILqp9T54C+o3kddCk59ijoE/IjqKeTN4QWUN6bfzvo7VK+hPwy+VPWyYuoH gk9TvfJz9a/AL6kPZ536LeBfql5PPRjeTnVh6pfwfKpjUm+D0/9GfcXyiuo/ pB4AP/BlpK5Bf5jlzVQfPKp+Jnhn1Wfpv4EfVX2cfhH4WPUnUKeED1a9lbqa 7b9UfZA6kPUHqp5F3cLOr/oL/WHkkVIfjNSX6WeCU9//Wv0r8Hj1V+hvy0fR F0edEp5D9UrqavBBqq/1DXzXIuQ/qXoQfVS23079VJPUNwOn/4c6qPVhqR5K 3c7yV6rfUWeCL1e9ab36b8hLdA/0n8RZvoJ+D+pS8FWqT/GcWB1V9Sn6a+EH VB+kHxS+UPVZ+hfhH6s+Tr8dfLf6E+gPg89Qfwj9TPAs6g+hLwSeTf0h9DHY 9xjUz0DdHV5T9XfqxGa/6sX4E/gbqm/iT+Ce6nH0GbPuoK5KXyx8r+ra9HHC c6uvgL5DOH0d9MnB+f4bfV3whuprom8D/oj6N+gzsP5o9RtQF4e3U30cP2Pr PtVz7bsq4t+r/oifsf0W6qOgbxLeU30s+Bn4IfURbaQvTZw+LvwMvIH6IvAz 8ATV8fEzcOrO+Bl4L9VJ8TPE21vVh0Pfoe1/Uh/UUvkZ+M/qQ8OfWH1b/QP4 E6vHqt5t3+URn6n6bD/5E+LS3urLmiF/Al+lvjjq5fBjqptT34U3Vp13o/wG fiK3+u7wD/CnVP+l7oufSNH71IlD/MwxHcN12CzB8V6C6sLUg+G/qy7s1GG9 EbOqlUpznmh8dShyHvZL8L67pX0f9BHCM+q66HuD85yyv4L3Tqz0YZ8AfLb0 HKV+PvjX0r+X+s/gb+t+9Q587yjk99T9Zb8E/A3NB/r74VfU5z9f/YLwA5pv 9OfBZ2h+0k9m+zs1n9kfwnukp+Y/+zTg7NdgX4HVI/R80QcPr6/nca36F43r +aVfEL5Dzzv9bfBO8g/0Y1lfp/wJ+1h4f22R/2E/Bpx9JewfgHeRf6PfHd5E /pD+cvjD8p8z1X8Jryt/S78jfKr8M/158Pfkz+kng2eT/6d/CL5f7wueI/ue h9477DOBd9F7in0R8OV6r9HHD39V70H65i1vr/cmfd7wXHrP0i8L/0t5YPo7 4WP0Hqefz/b56b1P/xyc/Q70S8FnKK6gvwd+WHGI7QcRbxjYVxXN/+/fNj68 D4t9RPC6yutOcPL/5IfZpwGfqDwz+wrg9PvRBw+fpLw3fdtufp7+V/iv4vRr wgfoPPQXwn/Q79IPB58mOyc4ee8Cui76jeCVpQN+1b5HovgwWX4VPlBxJv6T 9+lPikvxn/D/KI6ln9v2VSgepn8XnknxM/vceD8+r3ib/VrwwYrP2V8EL6Z4 nn5reCmtC+gPhl/QOoJ+Vnh29bXiP+07K1qnsE8M3l/rGvY1wZdqHcQ+HPvO k9ZN7Bux/J7WBfSFw0dr/UUfM/y01msp8qvwQVrfWZ+r+AdaD+JXee8PUl8c ftXySFpv4lfh87Q+xa/CS2g9y74Xy4Np/TtDfhW+Wutl+rDhWdSPTd+wfWdF 63H8Kny71u/4VfhJrffxn5aHUd5AeQbjC5VnUF7C+KvKS+A/4UuVx8B/wvsr 7zFP/hNeRnmSIvKf8BXKq+A/4ZXUF03/Lnyl8jbK8xgfpzyP8kLGn1GfJH14 9h2aF4L7auH35o7Ltbp3dF8tvM7s+z7pt7CwxSW2P3fGS7NvrHjO3vfwovEH QitzNrD3JfzC5aM7732kmdsn6T855I8SC5u1M/8IH6a8HP7I9rX/8Wlqpb5v mX+Bv1f9/I+h1XXt+bd8VMWz3XLMjfZD2jq4ebnvFj9WwOYf/FRd/87e2pfc fkX/ouJY9EG/06XWHn/tdH3TB96/0YPbCnnvmj7wPEu75+9zz4fRvgfxkeW7 FH5/8DDTB/744T193iw23vRx+9zQwfbn5X2gXKOne5gO8Btzd2ctX62V6WD8 7a5FClauaTrY+TfnunizvvUzGz8hfew7ZtKjf+E/Z5foO8rtA/ef2rvi7FM5 Zkb3Q/G9ydzFX2nTJ9oHDs9fqmPuZrWWRb9jJv6S6gu2X0x8YLuYEvMHfBz9 /hj7Awa8HN+7a/vo98f4rtI/ItfLddk+cs2H4L77kF9peaZGzWqucL5XGfI7 3tnVf/JrvvNdypAfM/OF95s+v9n5/mTIb6Y6VHC/fMj/0tm/Ce+v6wrulw/5 t3Ufg/2xIb+F5jl2ch1zWj99cXf3HWYn/Oi9+9aGeu0xO+E/qS6JPfBPnH2O 8Ec037AHPljPI7+LXe3e/7X6yoXRfYVuX5Cb16rj7O+Dn5Uf4Dz8zkn1M7j5 Lnc/Grx7352ldy+N7keDj9gx4+SBS9HvQdl3CvN5qTH3RPej2XdBsrV6pvNH 0X1/8J9f7njto5PRfX/waasHLCh/PbpPyu3HwO/BW0s367cXP6z7yLyCZ9A8 5D7CH9Dzhc7wKvIz9v4Qryv/jG7Y5e4vg7ceP+3N2HoLnP04d/eDJjxUs9w6 0w3edcHyhbGhHaYb/NIfN5ZmrLTfdIOjJ7rBuznfH4PP0/wP7q/J5HXW82vf ARDHL6EPfIb8s9WZxGOvRN5rXC+/v+PipbozRiyNrpPFv5335oaNN9Y7+zVy et2kA9cLn6B5xfXCdzrfVYNXl7/iuuDPyw8H91nk9ErrfcR1wSvoPR68XyHv X7qu4P0KedN1f4P3K+Qt1/MSvF8hr5Xz/Ter4+s9EtQ/5M3R+zSof8grMjMS h2AP5+umeWjrXr6vo+cae9z6tdV9xeMfj7zf+V37jpriouD9ivMGyp8E71e0 bhvUOc5rq7jLiX+sLokf4/l7QuN5PuHd9LvMSzcPxnms31v22/dLxU8pnrHv hYoPlW6cH/6GdA7uywj5fyg+DH4PJ+T30H0Mfg8n5A/XfQ9+lybkL9T8CX6X JuR/qvkW/C5NyN+u+Yk9zN8Sms/YY33Fmv/Wpy5eQc8L57W+ZT1f2AkfpucU O+HN9FxbXlt8ofwA89jyZo79zOvLip+xHz5Mfgn74cnyY9gPJ26x6xSfKz/J dcF3yt9yXfBf5J/NX4i31PUGv1ORyR+j+8XzA3/HmT88T2Wd9w68jN5TXC88 pPca1wvPqPcg1ws/pvcmdsDf1XvW6mTiI/W+Rgf4Dulj/WTiwwPzIWT8S81n dIAP0vMV/L7B5eR+eq7dPJi77x7/MTzd74v6SXvT/b6on1Q93e+L+kmt0/2+ qJ+0K93vi/r/5fuivn1fNPgdUf+/fEfUT2qa7ndE/aSN6X5H1E9qke53RP3/ 8h1R/798R9T/f98Rxa5/Kc60OJL4QfOE8VZvUtyL/vB4xcmcB348EL9lsvfv Aj2PQXtCXhPF+cF4LOT9R+uCYDwW8oZpHRG0P+Rl1nMR3Hcf8rrIPwTjqJBX TX4Pe9Db07oJe+A3ta7EHvhcrcuYb/DhspP5Bh+qdYf1T4s/qOcd++H/DMRv OY3Xkz/nemwfqt47wfsY553UOjd4H+O8rVoXB/f7x3lZtK4MxoFxXqZ5kfsS jAPjvCfSnQ9xHnF4cD7EebPl54P79OO8Unp/BePAv8frPRuMA+O84opnnPyP d0nX6+R/vNd1f538j9dV89DJ/3izNP+d/M/f8XzwObJ9svLzTp7He0xxtZPn 8arpPe7kebwSigOdPI/3peIcJ8/jdVYcxX2HX1Ge5/8ALXEGpw== "], {{{ EdgeForm[], Directive[ Specularity[ GrayLevel[1], 3], RGBColor[0.880722, 0.611041, 0.142051], Lighting -> "Neutral"], GraphicsGroup3DBox[ TagBox[{ Polygon3DBox[CompressedData[" 1:eJwtmXfAj9Ubxr/Pc863QkJWiMioiLaISNGwygyhUkpDFEWFJCLR0kBUfiqy G2aTohAtq21VqKRQyPh9rq7nj9v9eY/nPe8zzrnHdSp169X6jjSXyz3PPwH/ Or4Y/usklzsevgA+By4G14XPhgvAZ8PV4aJwHfgsuCB8DlwDLgSfC58OHwuf B9eEy8AXwxfAFeHL4UZwWfgSuB5cHK4HnwuXgxvD9eGT4abwJfCZcAe4FXwW 3BFuDe/Q78M5/HY9A3gY+xkujC+O/xUrAaf437CScMSfwDyN4LrwtsTv4SB2 DONn4U9jrBJ8BXwx/Af+J2wrdirjrfBXMH4a3BpuCleH28DN4J/0LuBi+KsY fwQeDHeEn4QfgR+AF8Cz4UHwfHgW/CC8SN8HHgjPg2fC/eE58FR4FLwUfgce DS+D34WHw+/D8+HB8EJ4DjwC/gBeAD8MvwfPgx+BF8ML4VrwTXBX+Fp4LPw4 fCF8N9wTPg++A+4OnwPfDt8Anwv3hG+Ea8O94Jvg8+He8M3wKSy6O+HLtaaw 2+BujNeD+8C3wQ3ge+A74Dqpr+8BN4T7wb3g+nBf+Hb4Irg/3BveqrUIF8Fv 0RqFC+O/wyJ8BHuK69/Gv8nYeHgJ/DY8LnsPi+Ax8DvwW/BD8Az4Zbgn/Az8 GNwXngg/A98Jj9fc8JPZt3sD7gNPgJ+G74ZfgJ+F74Kfh8dk7/91eBo8FJ4J vwKPhN+Ap8M3wKPgoXAbeADcF+4GPwo/BN8Ij4aHwdfDI+Eh8BB4OjwZbg3f D/dJ/A30bm+BH4XfhGfAreD74Lvg2+Gn4dHwrfBT8KPwbfAYeBR8LzwJHg/f B/9P8QUeAL8MT4R3YqXhAviN2DHw0fg/FSPg4/AJ158Gn5xos7LHcJXgFK4O V4Y3Kx7BhfA/YkfDefy3iePZIewH+Ch8wH+T/DdV7l/sezivUIH/HSsFH5Xd v97/a5oDrgFX0XqBT4erwvsUC+Ay+P2KTXDZbH1eD3eE74cnwxPgunA3uBN8 CKsGV8DvxcrDpfC7sXLw8fiDWFW4PP4vrCxcFP8vVgU+Eb8HOxEugT+AVYbL 4W/ibz0OD4f7wbPhKXAP+CV4rGJR9D4pi9+GXQKXx/+CXQyfiP8ZawSXw2+N 3m9l8Jui91sp/OboWFAa/yt2KVwRf0f0M7zGR9gBN2H8JPyW6P18An471hiu gO8Z/WxTuf726OeZAv8OX5F6bZ7Ax5qMb85Yu+g9/BTXtI/+lmPgm6LX0CS4 Q/SaeAb+E27B71bFt4leB08wvg++Wd8VvxfroDWHbxu9hp7kmpXwiVo0mg+7 AC6BX4PVgAtojujv9D+u/wtuyXg1/C6sOVxFfzM6PhbBr8VOhwvqOaJjaDH8 19Fx8Dj8BuwMuDB+fXQsPha/DqsJF8KX4J1M1PvR/UbH3KL44oxPgC+Dd2NX wqfgP8FKwoe4z6/gU+Bj8F9i1eCj8Z9i5eEE/0N0vC6O3xOdt07Fb4yO0SXx f2DN4Mr4nVhT+GT8b9hlcCX851gVOI9fjZ0EB/wKrDR8hPv5Aq4KH6XvGZ0z jsd/hlWGI34VVgFO8T2i98xkfveW6P3wMnxj9H5+Cd6OFVXs5Xd2wl8qf+En 8fMKeEni73Aj3Dnx3O3hlonv8Wr4ysTvox3cIvG9dIbb6HvDK+EPE9cPqgEu T/yOW8JNEj/fVfBl8N/YGXA1/D/YmfApWTxRjXEqvjfXvwa/BPeCp8IvZjll GjwJviWLseOy2K5c82TiOkTxpwOswm4K/ELi9dId7gLvShxLKyZeXzfD1yau eRTTTlBeiI5L7/H/v/BzRbh04vVyHXx14vVyLdw+8XfrCreDO0fn3bG856uj 4+/TcNfoOmw8fF10fTYB7hJdG42DD8H3MNdZ+E7R8f1Zxq+Pru0mwrdFx9xX 4Wui8/pz8K3R8fQVuFt0nfcCfEN0nfei/i5zj+M+n+Dn49gjT/PzxVpTwXnw PXyesQbwecobcEO4NlwCbgE3TryWu8BtlTfgK+FLlU+Ycxg/12XOI/x8PuNn KC8xdhF8fuJY0hZunuU11c9n6n7gS+EGiWvORnAduIj2MdwQPp75x+o65u+O f4zxhxl/DP5Y96+cgv8T+x37G9uZ+68czm3JeDO2B9uF/YbtzrmW/TX7/x3Z NVOZcyN+Q+K/+Tn8CTwndQ59jX+ewz6DP048l+b8Oefa6Qv88sTzan7Vyf9k XASbnc0/C/877/0j3YPyBVZBNUNwX7IGXpk47t4F3wofxmrDtbQ+GF8NL9M9 BP99zaMeRjX8gex9bMe2YY8F39vM1CZeoTybPb/e0zTFYHxJxh+Ozt+K+VPw PzK+PvGz/pI972fKb/i/mHt16v2yG/489Z7al+2p6dozWr/ZPW3K3tm+bC6N 7c/uVffyV/btPlb+0/8HX7M3+92d2Tfekb1XvV/1JN2ja6xdXP9+6veg/f1B 6nj4B+Ovwj/A67RP4PXwau0f+Ht4beIcshb+NHGeWQevUk6FV8FLFXPh7+A1 irnw1/Dn8B+KF/BJiePtN/AXidfln9m3eJHxDXp/id+B3sVX2PHatznnl+LB 8Vn1RongOKZ6Y13q+fcy1iu6rtoD/8B4Lb0XeH3qWKcF+33q2PsP4z+mjr37 4I2pY6/2XGGsCXyh7hO+ED7INf2i+9j9Wl+p9/W/8E+p1+EB+CDcPOc89W8W K5TvDmfxQbn1tyy2KP/uzGLLYXhvtveV1wZF972qN3ZlcUC5RbWG3sk1erdZ PFHe/DuLD8qnh7K8oxy6J3sW5XEVw8pNyg/P8/PVqeucI1luUg3wUHS/qnrm tOC9pjxeI7gXU36PwXlQtUc+OFeqJikN98i5njw2ODaqDimkGJ1zPVMwOG+q /jkqOLeqtjkuOI8o1xcNzl+qowsH5xTVRaWC85TqzyLBOUg1Scng/lT1pNb/ 7iy2hOAYq/qqfHBPqvq2THCPqfr2pOD+VPVn1eCeVLWK6s0H4XsVV6NrT42V U47JuR6uFNzzqqatGdx7qsarA9+bc41UObjnVT18TnCvqhrsjODeWbXoWcG9 rWpF5XTpACOz2LIn2wsdo3ukTdibqTUN1a4Lo+sP1cOqi7/V9VyzKHUPpbz5 Vmo9RHXswiyGaJ4Fqfsv1cYPY8vhZswzPLgu0n6dm1onUY09P3V/pDw+L7Vm onp7GPYJ3JTffQT+FG4BPxock69U7Rn8XHq+lvATcM3ouvtF+Dnu59JgPaQG 4+3h5+Ba8NDgvHYF/Ep0b6NavWdwX1MPHhkci1rCb0b3zMq/o4NzViv47dQ9 lOqEUcE56yrVp/AIuDp8R7CWUh/uF6yTNII787tD4YHc5zXwQ/AA+PHUz/5+ Yg1Ha+Y+uBM8BL4/8T4bDPeHu8IPww/AXeBh8CD1Ianf/wdwe/gBuB/cFh4I 3w23gwfB9yTWE/SNFsP3c5/vwpdwnwOCNZzG2svB+o/6gl7B/ax0hb7wXMU3 xvsE60gN4LuDtaaGqr+CNaiL4P7B2oX+5pBgfUk9xcBgTalJdA2l7/4R9zMo WFNSfTI/WjdRffVAsJaiuuDyYC1Cdevt8Cz4Aq5pF6wvnQEvTd3/qmb7KHXP q1puWereWbX9h6l7XtWEX6XWHtUzLs5yrvLdktS9uerMFal1A/Voa1Lrk+o3 v0ytZ6qeXJ5ac1D/+EWWF5S716bWMNXPbk2tSc6Bt6TWLWfD38H14ZnwN6m1 0+lww+C1oTWivac9WDBxr6m9MAJeBdfMuXb9NrX+OQPekLo+VP7anFo7naXa JrUeOw3enlqTfAPelOUL5bJtqfXV17UvU2sX6o9WptY01DftSK2pvhlcd+tb vKp1G1wnn8m36BK8T8+Grw3uO6SRzIzWsFSrdw3WFs6Jrn+1JucyT4/gnqUO 4x2C+xT1Md1Vf8DnMn5jcJ9ynmJCcO9zvvZ6cO9TO7qP25xzTfdOap1E/YX6 E/Up6imKBetXyh27U+uu8xg7JstNb+N/ZbwZ/BZcALsFfkd7KLWWoh7kr9T6 7Vz4z9R5U/n3ANYJXsh4GqznLMLvT60/L4D3pdal58NJlsuUc4vlXStrv5QN 1tPe1RqO7g1Uh7wdXTOpZuud7Rft2TuDNcmf8Hfpd+Cf8Y9H99ofKaZG9+BL NXdwT/qLclEWz7V/50RrcJsZmxgdy77Qt42OR18p7kbriZ/CjYL1vc/1nqP7 VdW0V2VrQPG8VbC+9zX+hSxWfqlvG60PanxKtD74DXx/tL6v9/9SdExcozmi Nc118ODgmlyxYnK0jrmesUuCtUfNPyRaZ9f7vyjLL9pfjYP1WD1LE+zZnOd/ JFrjej9YH1ccm8HPL2d91AbGmwVrs7qHNsFa5bf4ttgr8Hf41sGanp7l9OA4 r/c/KVp7XQu3CNZ1NeeDwZrDNnzzYH1YzzI4+ixBa+aj6LpTtWWt4Pyi71g9 ixuqPe6M1j0VT3pHa6Pa+9OitePv4T7RGqXiz93R5zGKS9OjdecftLeiNWs9 S9/osxzFk7uitU7FnP7R5zqKG/dGn/0otsyO1jQ3wRcE68wr8XWD4/kKxZDo sx/FxqnRerHe4YxoffxHuF6wdq01dl/0OZPiz4PRZzzaXxOi86jW3vjovPgZ XD9Y016FPzM4Ly/DVwvOm0vwVYJz5WL8ycE59AOtkWgtTtefHZx/P8afGpyj P8SPjc67mv/ZaH1cz3hucO7+ROsrWhPX846J1vo0XhsbzjXLtW+i9UbNPzT6 vErx5+loLU7XNAjWafVc70f3tOpfKgbr+VqrFwb3+Kv1fNFnZootFwfr7dq/ o6N1Nt1/gbzPgZTfj8n7jEf1TJL3eZJirERvnSEp9qpf1j6owFia9/mT4u3+ aL1YddqR6HMmxfaj8z5PUt11VN7nRsrd6qPVz6mXfydaY1KvelvwuclWrZdo HVjf5Z9oLUb13q3B5y9b8Muj9RT1RB9Hay7qv2LeZ2DKIyHvcyzliIJ5n3Wp hjkQrXmpbjwYraMpfy2N1lbUo5XOu0dVrXts3jWc6pzF0bqPesZSefelqmmL 5q0vqKYqmXefrFp0SbQ2pF6ySN79sGqwUdEauNbhu9F6nzSBE/PWDlRz/h19 lqaa83C0Rq/c+m+03qf6p3ze+otq10J56zuqzcrk3W+rxi6cd+2oGrVc3v28 6u2yeffwqodHRmvsWv+zos9jNgbrG1tz1iM6B58xaW+OiNb/pYMtitb+pBUs iD4bUxwbF12Pak1+EK1zqQfvFnxmpPhwTfAZmWJOx+AaQHlfGqzWidaLcrly unSkZdE6l3rq16PPqLQeRgTrBupHOgWfWynW3YC9lXMuuz74XEzPNTD6LFl5 f1702Z7y4NzoMy3lzQHR59DK78Oiz49VAwyPPu9QXn4r+rxNOfe64PpZNU/T 4HM6xfk3os8CtbavCK5tVNP+HyMu6Uw= "]], Polygon3DBox[CompressedData[" 1:eJwtmXPAJkcehKenJ94kGxsb27Z5sX2xdbFt27YvzsY2N7ZtX3zPszV/9Ddd M/O+37zT3fWrqh60yY6r7tA2TfNv/nQcr+L4AccvaP+lv1HlSH9P+v9ww6rg U8Hbga8Erw2+CrwT+E/w/uDnwGeARxumaXYE3w8+Ejw8+P3SNO/RhqMNTzuA 689z/Uyuj8716zl+Bv6cdgP97bl+L/3D6Q/L9Z3AN4GPBt/C/1sNfBp4e/BV 4APBD4LPBt8B3hP8BPhE8Mh8fg/w4+ATwAPAu4MfAx8PHgm8F/gu8Mng2/j8 buBHwceBR+T6vuBnwKeBRwVvCL4BvAf4b+7fBfwI+FjwCFw/BPwy+FzwGODt wPeADwMPA94H/DT4VPAo4B3A94GPAA8H3gB8PXh38F98/yrgU8Dbgq8Arww+ GbwN+HLwzuCbwceAbwXvB34WfDp4IN+3EvhC8Fbg37g+N/go8Mrgn8Bz0a4E X8jYtNw/J/gK8AXgAt4VPC/9RTn3Pp+ZA3w5/fM513B9LPCmdNd3nOnvTpuf /uKc+5D7dwPPB14M/AF4F/Ac4PnBb4LnAV9N/2LOdXzf8J6jvwjn3qN/OM/7 ms9Df2yuz8T9Zzie3PO7v6fLfLwIXLk+M/hMxx/8B/3ZaBc430rGa/Yu7+Os kvk9C+0s8Ekl8/k/3kN/Ps69wf/8gf8/Cf1xOHcP134ETwoeF3wv+Gfw1OBJ wfeDD3CM6K/FuV/5/F7gRcHLgD8D/4/7Z6E/Dececrxoy9FflXM/cH0f8OLg 5VyT4AOdA+C1wf/z8yWf9TuedyHTZgHPTfdV+jtx/6zgecCvgXf2HYDnBb8O /p7/Py79AZy7m2vb06anPzvnXuT6duDpwLOBh4C3BU8LnhX8AvgwPv+q409/ LN73L+CZwFNxzwPcuwNtBvpzcO4l7jmU66/QP4/+mNy/VM34bAT+xbnRZb5f UbLepwHvBd65ZH6OTdsMvAH4ffrj0baUv8Af0R+Htjl4Q/AH9Cf2N4E3B39O fxKfCbwF+Av649K28P+DP6Q/AW0b8CbgT+iPT9sKvDH4Y/oT0bYDbwb+jP7C PP+J4LV5/p99V7QjwQeW/J5lOL81/W1oX4Nn7HL/USXrb62a9bZjm/k5KW1H 8JZc/5L+hLRtwZuCP3VsuqzXg8C/0l+jZn1K4s7/qVxzfh/Xf6A/iLaT6x38 lXOPNhh8YwkfLtWFnweX8O8i4Dvk/hJ+XLILH91RwueLd+Gv20r4b5ma9WL9 8HmW6MLXt5fwzQJd6sdVJfw/fxe+vLKE3xYE3wq+roQvp5Rz/T3g7+lPQdtV fgd/R39yOdb6A/6W/mSuUfkQ/A39FWvW95auDfDUtD2sT1z/0fGi3W5tKeH7 hcC3ga8v4Xc5+NaS3yg3/833bEh/So4vcO/ynDvO8QdfAl7WNc39e9KOB5/D 9Ym5PjZ4I/BhXeaOc2j4mjU1Bf0/StbaCbS96R/Euem4fhJ4X/Ah4JmcW+B9 wAeDZwAf6/iC9wdP4bP4+6yjrjm53PcD3gc8cc2am5L+nyVrcbga7pjFtdil Zp7HtUub1FLrwd70V+H6aXJ9zXetCj69y2dca645v+sG8DUlNXlja5EcBj7U /2GtAu8PPgw8W807WIf+rG3ezTxt5qZzdCDXjnQ8S55hfPARXda+HDAh+Gjn A3hfOdZaal2n/wnnNuTag9ZZuRK8MfhheQn8FXhT8EPyDvhL8CZd+HM82mQ9 nz2gDqH/Oef+zfU7ab+DR6Pdx7XHaePR/57rW3DtM+tEk8/42UesS/S/5vxm XThzcvDvJVx6JM/8lPWN84PBB9PW8Vk5V7h2jPMfvB94MvBntCH0nyzRM/+l XVtS4zfh2qf99z1Yolf2Bt8NPoXvv71LjbJWWaOebVOjrFWD+noh58v9/iZ/ 23w173Y1+md0eSe+m99KuH/+mmdbnfNngheomYtrgM8CX0Q7mXvP5tyyXPut Te2ajONBXWrWsuBBfS2zJloLJ21TK51zcpsc51z8vE3tHZ3j3l1qoFphjL42 +oyHcP8xTZ5dDTED/a7XFta46SyLfe07lXYA9x/OuTmci224WE6Wy625apXx 29Ti79tolfE47utaoR1TorkW5f6zwYe79sELgs8HH1ui0RZTa4GPL9GoS8hN 4ONKNPTi4I3baA05VC49l+tHg08CL1KjOaanX9toEWv4tM6VvrarIazlo/Xa Yuc22kcNpDbfqw33ysFq+eu552rwjXI2+OouWkvNtQ546zZa6MImWlFNeTb4 oiZaU847FXxuEy5Ug54DvriJNtUTnAu+pIlXcE6rZaZtM9fVfGqLEXstqCZU G4zURis6pw7l88c2mWvOqcNKONe5JgcdDD66CTddDD4FfA54OfClziHweeB/ ga8BXwK+Brwu+FrwpeBrwevVaFi1zQhttO2nbbTSQI57dhlTuXXNNmPtdzrW m7f5X09wHB/8g5wIfgo8Ifgn8Nbg78Arg8fh+CT4W44rWR84PgH+iePqchvH p8A/c1wDPBHHp8G/cFxTLuf4TOdEYNw4TA1+sV8/astJOD7bZY0sVrLGXDv/ 0DayNnAcwrW/OG5g7eD4PPgbjiuCx5LbwF2NvpoB/DJ47Bo9sVAbfSRHy9Vz g98Bj1qjV+YCvw2uNfp/evBLck9N/V24jT4bs6aeL9BGv41VU+8XbKPXRq+p 5/OB3wWPUVPv52/jJ/7guD54co7PyTfWZX7v65w7ooYj5coXmnhB15xrfcM2 a3Fr8J3gg9r4CzlK7tikDXdtVaOPDmzjHzar0Qf7gfU3rmlr2/pt1rocYK1e rw03OAedu5u2mZuucWvfBm3W/pY1+uqANv5qixo9sn8bfzUNx7VLxtixds66 1nZpM5ddo871/7RZu2c5j0o8tF7aOe3c37XNXHeNuzb3brP2rdGuzX3a1G7f h2vjYPCN4G1q1sYh4Ju61Bi1wb5tas8oNfp5TvBb4Kc5TgT+WY3b6wu1wcyc fw08TI0enxH8Cvh2jsOB3+X+tbt4BL3CzJx7m2sPgqcu8TPvgm9pk0u8xbk1 6NwGHhb8DnitLh5LrzVNE79zazt0mJq3Obdml+9cyKFr878m5uK1bTz6wbUZ 6pcGlXCq3HonbUT6H3JuPe6/uR06DM2b4NXBj9BmLvFXn1g/aQPof8y5DZx7 4AnAP6r5wIPBI4A/AK8Lvgs8Evgj8PrgR7v4NTlH7tHv6q/kJLnpxnboIzZv cG61Lh5Rv6f/0g/bFqE/XJtrvgOf7Z+Sd+M7XBg8bP9uHeObStaAY68m8N3/ UqIV1AS++19LtIKawHf7XYlWcE7cXJKROFcG1Pih2bnvDa59xXEF8JgcHwOP WONfZgO/Dh65xo/NAX4TfFQb73F/k6zITOdO8ANNsh4116S+mxIt5jtaGjxq m3fnGCwFHqXN2FgzD5br29TSjzkuCR6Z48PgVzjOBf6b77sP/Fgbv/6tvwl8 kvOkJDMyO1JTqa2ebJINmancVZIxmbUMW+MfZ+Jzr3apGYuUPKPPquZZtUTz qoX0THonPZJZkp5H7yPHmB3pQfQicoLZkx5YL6xnMgvTU+mt9GRmO3oYvYyc YpalZ9O7yWFmXXq2O/r3azan57uxH39/n57sql4P+P4dj6t7Pe/7v6FGD5nZ WK9vrNFr/kZ/qx7uyl5fmF19xOfnpD+A4x5cH5dze3p/G/+8P21557JrRE6R o5tkRLv37/+mfn75vuXoi/v67XyVky/q9YpcLf/d2Y+HfK/nusZa08SL6WkH 9/NJflyH6yOAxwHf0T/jAiXP4LMf3sWv7wweTW4Hr6tXkCpqMqMze31k9mdm dFavjzbq9dbZvR6Se+X4C3s9JvebKZ3U62P1mXrt5F6/yO16eLMsMxG9vZnA ib0+NCu4uUZPW+Ot9ZKd2ZsZgLXKGmJWZ6ZgbdlczgNPBX7Ud1ujDcyg1Ivn 0I6gfwLnFuLaiTVeRk8j35xW866G7fn69BqvMKDns1Nr/E7X8/HJNf6q6fn6 pBo/9ncT/jylxo+1PT9fUaMHzZj0R47J8E0yYsdqlS61zRo3Eb9thS556SN6 FvCKXfLYR8HjD5M1PUnJmnatn1Gjz0bp+Xz5LmvbNT4O998MvqXEM23ru+2S D99fki9eVTOfzbD0z85Z58oEbebybTVz2cxOv3BtjT8xM1SvXwdeoEnGqR95 uc1Y/AXe0bla42/M5PQn5uPm4tYMa8fVNfreDE+9fwt4+SaZoP5HDzmE/htN vKWe76EST6gXlNNGLMn4Hus5cKYSDpQbb+31+bIl/ub2mnzAzFI/dkcNd5k5 6tcGq0macJrcdn2NPzITVj+3/fuYrs3aubNm7ehx1f8rd9kfeBw84TDJxO8p ydjNyh1Dx9LM+piaTEk/qN7XH5mpma3pD80O9U/6ATWcWs6M0LzA/ED/aEZn VmfNmaQmA9uqX99T12RCZkNy1Jw1mZvZmxp3yhp/aD5jTbG2qJmXLNHMamk1 +cI936vVn+35X478tdeoS5TURLWrmn0Z8CqukRpNvnSJR1CrmzEtVeIRzJ7U g46NY6SXMrM0u1RzT16TaZptqskG1WRgZmFq5ulr9gzOKMnE3EvQYyxYUhP1 HmZkR5b4X7MzNfu/SjyJWv71kj0hNYhaxIzTvOugJn55XMbr4ZI1eVRNxmnW qYaftiYf85x98y33PC4vyXjdCzGjNKvUI8xek/mZ/ek5Zq3J/Mz+9Agz12R+ Zn96iBlrMjeztwPB09R4LPcLFm3ivfQQ65V4Er2Fa27GkjXtWpRD5BI55Oga TzZ3iabSq43bZm47x80CvuSeT+h/Svu6Rk+e0+bcV+ATfAdN9rC+qalB1qKP aV/U+Gv9vfmBftoM2PxBv6/fvonrHzbZg/u8RiOtUZJBqp2ua+NvhvTf7xpy LcmRx9X4oQf79S8fyHFynfpFfySHyqX6o+NrMvh7S/bAzOblPLlPjnSvZQLw YyVr9tiajP++Eo40+9cDrFniMfUGarzVSjya2k9NuHqJ51Qr6vnM7vUEekE9 nXtFmzXxenpAs3s1ld5Qz7BiiQfWSzjGrltzdcdej7xQiQbUO5uRm5WrSSeq 8axm+3oSvawe1PzSPFZvasZv1q9GHa/G865Q4sH1wmq6lUo8tlpPTyM3ypF6 HT3vWiV+TS+sJ9a/bdzEK+up5yrR4N/0Gsg8eOsm2sj8c51eX6g3VurCfb5z 373j7Z7oe/14nVnjLwaW+IenarhPDjQbebrGf5qJmY09WcOdcqjZ2gs12ZQZ ln71mZpsxczF7OX5mrnpHFU/D6nJqsy09LuP1PhdM2mz6YdruFGONMu2plvb 1QB6sWW6cLtzzLl2ZU3e4x6T+bdz6h3w5W0/12r8shmyWfLjNf7dDNksWY2h 1lBD6AUfrMlnzMTNxh+t8edm6GbpS3fxetYYa40aR65Yq432ebYmzzFjMmsa ra9X8/Za0IxXf6gH0guZ8UxW4hfNfu6tycfNrM2uzXymKMnszILuqalF1iSz 7Ptq8lUzerP6u2vmgnPCPPyumrnpHDVrv78mbzXzNvt+qH9+M3+z/wdq8lcz Y7Pjl8CnN8kczTvUbGo3NZre20x6opI9AbPq52q0nxmm+ZaZ+AQlmbVZuZn5 hCV7FmbpeuaXmnCe3PdPDVfKuXKvHPQu+Io23DRsl1ppTbO2jdiltrjGXGvD dKmN1lRr60hd1p5r3rU/Whfuk2PkmtG7cI1rzrU3oAs3uEZdq531q0nNtfaO xfHLJhx8Nc80XJfaas219qp5lu3r8fc93y/T12Prx7f8noFN9gD0n7/W+GUz Cv30GF3WvmvetT9yF66QI+SK4bt8l99p7TcjmbIkozY7GdiFG+V4uX7ULtwp Z8qdo1i/mnCq3Pon/39B8Jwl/vqvmnxDjpFrSpfaLifKjW0XblSjqFX+ruEi a5y1To2uVlejm7VYA9+if2lfG9Vgb4Mva6PNzDQmL8nUzTqsKWZvF7apNbWL FlIDqYWe4vhVk/ronFFP+C4H9vVNT6A30HOYteg59B7ut6g3/qjJM8xI9Ptq jDfBl7TRHr/XaFkzGf2/HClXXtmm1rkHNH7JHoZ7Q09w/YgmewDuBbwFvqzJ Hph7YR/XeEk9pVnERTVrXQ6QC/Q8eh/1tPpcT6G30BOZHX1U4yXMSMxKLq/J csx03D95sWYvwD0A88Dzataaz+iz6tH0W9+UeLfXuH5+k0zbvNkxd+wdc7OW 68CXga8Dr8+9F9eMjRwlV51Vk0ePXpJPfQJ+qEmGYZah5/Gzh7bxQu/X7C25 p2c++AH4liZ7TuZ/+mv3Ns38VqX/Xk1WYGZgvuj/8H9Zo8zGzq/hDjlFbtHf 6Ef04Pq7c2vGxj0499ts9gc12U9zT2/Mkt/gXp81z9qnpzNLu7DGT8lpctuH NdmBGYJZ16s1eah7Fu5dXFqz9uRoufoy2ukl73iFmv0898cmbZI9vVOThw7d Q+DeC2q4U06UG9+oyVPdA3Ev5JIa7neNuFaW7aKt1Exqp7Nr3p2/yd+2Qs+/ W7R5lvX78d6tH9t3+/EZumfh84JnbMIhcsnLNdmBGYL59ds1WcnQPR3wKzX5 sXsk5tGv12QTZhTu7bxZk++6Z+Pezf8BPFO3Qw== "]], Polygon3DBox[CompressedData[" 1:eJwt12fYFNUVAOBldwGpIggoKBaKSg2gIF2pkSo9oSZUQzVUI02liAKiAkKU YlRKVDQJClgokao0oxQbkKCACoKiKEjLe57hx3nuPe+c2W935s65893Ua2i7 IelUKvW+yCkqZlKpCqJ0NpVq4cCTxrXyhuZHza83LyWKmNdk/XOkUkOddyW7 mtVmA9ifxBT5Kn4ju1t+j7oz5pVZJVHG8Zbyp4y75J3MR6t7SF19+U7RkY1i E1g9+SeiL5vCZrJW8nKirLjJ5zRzbIaxqKhjPlDdMHWFHS/O6rHBbAS7mhVj ddkgNpwVYdeJkhGO3e3Yo8YS4i7z+9WNVlfc8fysMuvB+sb1Y78RVeL7ONbK saeNBUU1817qBqjL5/hb4mbWiLVgv5oXUFfF2JP1Y7nUXMsasKFsFCvG8rAK rCvrIibK84qKrJu8t7qMusKsBuvHhrCC7BpWnw1hI1lRtjquHWvImrOz5lep u8PYlw1mBdQUYrezPmwQy8/Ki9vitzjW3LGZxnyiknl3dX3UZR2/klVnvdlA lpetySTX94hj15qXEJXNY0EuVLdEXSf2vmjDfozvZF5DbMok6/NkNllLsaYy 5jewNs7t5Nyf4xz+i/wWUYXtZKfYz/JyojLbxbLOLW1sz7qy8+abM8n6/D6b 3NO4txszye88kU2ek3heNmSSdXec3WJ+q9iSSe7/D6yqeTVxLq4Da+BvNPU3 jphXdXyk8Rk2V1yIa6yuurglm/zu2cZbxb3mD6mZ6tw7HU+zUqw168hOm5+P 59DYmLVk35lfjHVubMpasxPmx+K3mL/LXo3vLl9rLMheNr4i2mXj5nkezFvG OhXj5eVFz7jX8Z2VNHNujugNrBXrwH4yv439zjiVPSqek69X25h9Y35TrBuR y7ws66imu3MvmOdkZYwdWDd2zrwC+0P0JDaPNY2+xGaxN9ibomDO5FrHNS/n WGvHZhnXyRuZfx1rJHqS2Cf6sMnOe8LntZR/LLqz8dG/WGP5HtGLTWTTWXP5 XtGbTWIzWAv5R6IbG8cms0by/4iubCybxBpG34v+Gt/Bd2nq2HTjB/K25sPU jVFXK9YW759O1kWsj8XybbwdGy4fq662/EPRhY2JXsDulm8X7dkINo7Vke8Q HdjIuI+sbvRhn3kfm8cWsdaxztn97Hm2jHVm/xZN2LfZ5LvHb6hlPoktjmdV 5HTtt2aSa34qm6zhWMs/iYvxrIlKsV9kk3U/Kp2cF+cvjx4pRrOl8tf83e7O ey+TXKNj2aTHR6/fLXqwCbGu1DWJnuv4ULaILWUd2a+iIKvPmrDD5qfZpegF ogbby6o79wHjMvY666HmgijKmrBW7Lj539gPscZEidgz00nPit51XTbZI6ca /yt/0Pw5dS+q+2P0Of4kW8+2stHsLjaTrWNb2Cj2PzGGzWcvsV6Z5DnqzB5g fxGn5Yf4WLYgrp+63vLvxQl5HpFXvKPuABsePUS+QF1X+UExgs1hC1k3eQO1 T7C1bDMbyeqzGWwN28SGxxply9gn7CCbweqx6emkl0RPGcGWiywrG/ecfRHP LftMfi72J7GCvRy9w3gzL88+jWeUPWt8h21gD8v3i2HxLLP5rIv81ej5rAyr yD5PJ9fgpPwGUSr2Zd9tNjtgnhG51a2KfssOyfPFtWJvs7MsfzpZo7FWN0Yv FuPY8ugv6vqqqcumstVsHRvC7mQPs3+yt9h9rCZ7iP2DrWb92VdiInsp1jwb GM+VurlsC9vJxmWSPb58Oum50Xt3X+7FJVldeT2xTT4n7mc8e+IKJatjP2XT jK+yN9iwy72kXzrpw9GPz8iP8qfZCvm76h6MHhmfyTax7WwM+5e4ilVjtdk3 0W9ZEePtrC47Zn6YPR57B1vB/iz/UjzCXox9hg2IZyjWqvzG2JfZFsc/YwOj F7LZrJ38czGIzWBzWHt5Dd9vAnudrWL9Lu8Bs9nGWC/h8R4qprCV8jXqBqn7 VAxg09gs1lZ+r7qlbB87wKazNmwJ28v2s2nsCzGYPRG9mHWQ11H3KFvF1rLB l3vi5HSyF8WetCKbrKsC6eSexb0bnU164oXLazTW6jr2CkurKy2v4PM+M/8r Oyy/ShRga9iz7Ii8SI5kv459exE7Ls+KYmxT9PRYb/IrRf7Y69kZlttYkzVg B81/iT3YWIPVZ/vj2Yt9wNiW/Z5dIb8i3m9YZ9aTXTLPzcoZO7Ee7GLsG2q/ k+cSxdnm2CPY6fhu8ZvZjngGYm+QXy2uZ9tjnbAf5YXFdWxbOtmrY88ulU3e HR7PJv+DxP8i12eTff0x48/ynOZ3xPPh3APp5P0i3jNuyCb71zTjfPk3ai7G +754j78dfdbYnLdnafmb0dtZbdaInTJ/gZ2SFxIl2Qfp5P+eWunkXTzeyQ/G e6oYz16Tr1TXx3krRQlWhzVmP5q3VPdCOlm3sX6vsYc2Z4vYLvk+dZOdt1Ac k6dFUbbR8ZPsaFzjWENsPWvq3HnGrWwXG6+mMXuGbWY72NhM8ndfZB+zj6Jn yZvFtWHbo9+oe0RdK/YS280+Z4+xWdGP5TniHrOVjrdWt9i4h33BHlezNPbg uE6iDPvY8b+z83G/RTm2hz0dz5f8Uir5H/RN9lQ8/+xC0vZSb0RvZYWMVXkt 9nX0AZbXWIHdzr6MPZF9K0/F2jJsiD7qQ543fsg+YVPUvCuqsnasC8sjnxs9 K5612BvYO9G/WT5jRXYH+8r8tz5vgXEH28MmqlkizspLiNLso7j/0cuN5Vl1 dijeM9i5WN+iLNsdPZgVjncRVod9a36Pv7HQuJPtZZPi3UUUZ81YG3bS/P9Y itd+ "]]}, Annotation[#, "Charting`Private`Tag$41879#1"]& ]]}, {}, {}, {}, {}}, {{ GrayLevel[0], Line3DBox[CompressedData[" 1:eJwt0rsrRnEYwPHjfr8lpYj8AWxkYJSBSTKwkYGBkoHRIDYbfwEriV2xufO6 35Pktrhf4/Mrw/f9PPX+Ouc5nVPW3tvUExdF0bBeFeZHXWo2PopyucBSrrOC p6zlAxv5zTZmJERRN4tYrEFzNUdZzwm2cIqdnGc/l8K1eM13betZ91q2UIwr 3OEqd7nGvbAT97nBA27ykFvc1pE5xmPu8IS7POUez7jPc057jht+6EIvYS+N 2W2LQ1xkH+fYwUk2c5x1HGEVKzVgLmQX09jKT/do4B1reMzy8Fws4a1zV3xT jp7CWRXYMZv5zGIeM8MZZjCL6eEdMI2pTFGqOSnMTGByeMdM4q8S9RP+05es Ec34uf3/Hv4AxpdK8A== "], VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{690, 1001, 473, 689, 1107, 912, 691, 1108, 913, 692, 1109, 914, 693, 1110, 915, 694, 1111, 916, 695, 1112, 917, 696, 1113, 481, 697, 1114, 918, 698, 1115, 919, 699, 1116, 920, 700, 1117, 921, 701, 1118, 922, 702, 1106, 1119, 923, 1002}, VertexColors -> None], Line3DBox[{704, 1007, 1210, 703, 488, 705, 1120, 924, 706, 1121, 925, 707, 1122, 926, 708, 1123, 927, 709, 1124, 928, 710, 1125, 1008, 1211, 711, 1009, 1212, 712, 1126, 929, 713, 1127, 930, 714, 1128, 931, 715, 1129, 932, 716, 1130, 933, 717}, VertexColors -> None], Line3DBox[{719, 1010, 1213, 718, 1011, 1214, 720, 504, 721, 1131, 934, 722, 1132, 935, 723, 1133, 936, 724, 1134, 937, 725, 1135, 1012, 1215, 726, 1013, 1216, 727, 512, 728, 1136, 938, 729, 1137, 939, 730, 1138, 940, 731, 1139, 941, 732}, VertexColors -> None], Line3DBox[{734, 1014, 1217, 733, 1015, 1218, 735, 1016, 1219, 736, 520, 737, 1140, 942, 738, 1141, 943, 739, 1142, 944, 740, 1143, 1017, 1220, 741, 1018, 1221, 742, 1019, 1222, 743, 1144, 945, 744, 1145, 946, 745, 1146, 947, 746, 1147, 948, 747}, VertexColors -> None], Line3DBox[{749, 1020, 1223, 748, 1021, 1224, 750, 1022, 1225, 751, 1023, 1226, 752, 536, 753, 1148, 949, 754, 1149, 950, 755, 1150, 1024, 1227, 756, 1025, 1228, 757, 1026, 1229, 758, 1027, 1230, 759, 1151, 951, 760, 1152, 952, 761, 1153, 953, 762}, VertexColors -> None], Line3DBox[{764, 1028, 1231, 763, 1029, 1232, 765, 1030, 1233, 766, 1031, 1234, 767, 1032, 1235, 768, 552, 769, 1154, 954, 770, 1155, 1033, 1236, 771, 1034, 1237, 772, 1035, 1238, 773, 1036, 1239, 774, 1037, 1240, 775, 1156, 955, 776, 1157, 956, 777}, VertexColors -> None], Line3DBox[{779, 1038, 1241, 778, 1039, 1242, 780, 1040, 1243, 781, 1041, 1244, 782, 1042, 1245, 783, 1043, 1246, 784, 568, 785, 1158, 1044, 1247, 786, 1045, 1248, 787, 1046, 1249, 788, 1047, 1250, 789, 1048, 1251, 790, 1049, 1252, 791, 1050, 1253, 792}, VertexColors -> None], Line3DBox[{796, 1159, 957, 794, 1160, 958, 798, 1161, 959, 800, 1162, 960, 802, 1163, 961, 804, 1164, 962, 806, 1165, 963, 808, 1166, 585, 810, 1167, 964, 812, 1168, 965, 814, 1169, 966, 816, 1170, 967, 818, 1171, 968, 820, 1172, 969, 822}, VertexColors -> None], Line3DBox[{821, 1267, 1063, 819, 1266, 1062, 817, 1265, 1061, 815, 1264, 1060, 813, 1263, 1059, 811, 1262, 1058, 809, 1261, 584, 807, 1260, 1057, 805, 1259, 1056, 803, 1258, 1055, 801, 1257, 1054, 799, 1256, 1053, 797, 1255, 1052, 793, 1254, 1051, 795}, VertexColors -> None], Line3DBox[{824, 1064, 1268, 823, 1173, 970, 825, 1174, 971, 826, 1175, 972, 827, 1176, 973, 828, 1177, 974, 829, 1178, 975, 830, 1179, 1065, 1269, 831, 601, 832, 1180, 976, 833, 1181, 977, 834, 1182, 978, 835, 1183, 979, 836, 1184, 980, 837}, VertexColors -> None], Line3DBox[{839, 1066, 1270, 838, 1067, 1271, 840, 609, 841, 1185, 981, 842, 1186, 982, 843, 1187, 983, 844, 1188, 984, 845, 1189, 1068, 1272, 846, 1069, 1273, 847, 617, 848, 1190, 985, 849, 1191, 986, 850, 1192, 987, 851, 1193, 988, 852}, VertexColors -> None], Line3DBox[{854, 1070, 1274, 853, 1071, 1275, 855, 1072, 1276, 856, 625, 857, 1194, 989, 858, 1195, 990, 859, 1196, 991, 860, 1197, 1073, 1277, 861, 1074, 1278, 862, 1075, 1279, 863, 633, 864, 1198, 992, 865, 1199, 993, 866, 1200, 994, 867}, VertexColors -> None], Line3DBox[{869, 1076, 1280, 868, 1077, 1281, 870, 1078, 1282, 871, 1079, 1283, 872, 1080, 1284, 873, 1201, 995, 874, 1202, 996, 875, 1203, 1081, 1285, 876, 1082, 1286, 877, 1083, 1287, 878, 1084, 1288, 879, 649, 880, 1204, 997, 881, 1205, 998, 882}, VertexColors -> None], Line3DBox[{884, 1085, 1289, 883, 1086, 1290, 885, 1087, 1291, 886, 1088, 1292, 887, 1089, 1293, 888, 657, 889, 1206, 999, 890, 1207, 1090, 1294, 891, 1091, 1295, 892, 1092, 1296, 893, 1093, 1297, 894, 1094, 1298, 895, 665, 896, 1208, 1000, 897}, VertexColors -> None], Line3DBox[{911, 1006, 685, 910, 1309, 1105, 909, 1308, 1104, 908, 1307, 1103, 907, 1306, 1102, 906, 1305, 1101, 905, 1304, 1100, 1209, 904, 673, 903, 1303, 1099, 902, 1302, 1098, 901, 1301, 1097, 900, 1300, 1096, 899, 1299, 1095, 898, 1310, 1004, 1003, 1005}, VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{251, 474, 1107, 252, 488, 280, 1214, 503, 295, 1218, 518, 310, 1224, 533, 325, 1232, 548, 340, 1242, 563, 355, 1255, 578, 1160, 370, 593, 1173, 385, 1271, 608, 400, 1275, 623, 415, 1281, 638, 430, 1290, 653, 445, 1299, 668, 460}, VertexColors -> None], Line3DBox[{253, 475, 1108, 254, 489, 1120, 281, 504, 296, 1219, 519, 311, 1225, 534, 326, 1233, 549, 341, 1243, 564, 356, 1256, 579, 1161, 371, 594, 1174, 386, 609, 401, 1276, 624, 416, 1282, 639, 431, 1291, 654, 446, 1300, 669, 461}, VertexColors -> None], Line3DBox[{255, 476, 1109, 256, 490, 1121, 282, 505, 1131, 297, 520, 312, 1226, 535, 327, 1234, 550, 342, 1244, 565, 357, 1257, 580, 1162, 372, 595, 1175, 387, 610, 1185, 402, 625, 417, 1283, 640, 432, 1292, 655, 447, 1301, 670, 462}, VertexColors -> None], Line3DBox[{257, 477, 1110, 258, 491, 1122, 283, 506, 1132, 298, 521, 1140, 313, 536, 328, 1235, 551, 343, 1245, 566, 358, 1258, 581, 1163, 373, 596, 1176, 388, 611, 1186, 403, 626, 1194, 418, 1284, 641, 433, 1293, 656, 448, 1302, 671, 463}, VertexColors -> None], Line3DBox[{259, 478, 1111, 260, 492, 1123, 284, 507, 1133, 299, 522, 1141, 314, 537, 1148, 329, 552, 344, 1246, 567, 359, 1259, 582, 1164, 374, 597, 1177, 389, 612, 1187, 404, 627, 1195, 419, 642, 1201, 434, 657, 449, 1303, 672, 464}, VertexColors -> None], Line3DBox[{261, 479, 1112, 262, 493, 1124, 285, 508, 1134, 300, 523, 1142, 315, 538, 1149, 330, 553, 1154, 345, 568, 360, 1260, 583, 1165, 375, 598, 1178, 390, 613, 1188, 405, 628, 1196, 420, 643, 1202, 435, 658, 1206, 450, 673, 465}, VertexColors -> None], Line3DBox[{263, 480, 1113, 265, 494, 1125, 286, 509, 1135, 301, 524, 1143, 316, 539, 1150, 331, 554, 1155, 346, 569, 1158, 361, 584, 1166, 376, 599, 1179, 391, 614, 1189, 406, 629, 1197, 421, 644, 1203, 436, 659, 1207, 451, 674, 1209, 466}, VertexColors -> None], Line3DBox[{267, 482, 1114, 268, 1212, 496, 288, 1216, 511, 303, 1221, 526, 318, 1228, 541, 333, 1237, 556, 348, 1248, 571, 363, 1262, 586, 1167, 378, 601, 393, 1273, 616, 408, 1278, 631, 423, 1286, 646, 438, 1295, 661, 453, 1305, 676, 468}, VertexColors -> None], Line3DBox[{269, 483, 1115, 270, 497, 1126, 289, 512, 304, 1222, 527, 319, 1229, 542, 334, 1238, 557, 349, 1249, 572, 364, 1263, 587, 1168, 379, 602, 1180, 394, 617, 409, 1279, 632, 424, 1287, 647, 439, 1296, 662, 454, 1306, 677, 469}, VertexColors -> None], Line3DBox[{271, 484, 1116, 272, 498, 1127, 290, 513, 1136, 305, 528, 1144, 320, 1230, 543, 335, 1239, 558, 350, 1250, 573, 365, 1264, 588, 1169, 380, 603, 1181, 395, 618, 1190, 410, 633, 425, 1288, 648, 440, 1297, 663, 455, 1307, 678, 470}, VertexColors -> None], Line3DBox[{273, 485, 1117, 274, 499, 1128, 291, 514, 1137, 306, 529, 1145, 321, 544, 1151, 336, 1240, 559, 351, 1251, 574, 366, 1265, 589, 1170, 381, 604, 1182, 396, 619, 1191, 411, 634, 1198, 426, 649, 441, 1298, 664, 456, 1308, 679, 471}, VertexColors -> None], Line3DBox[{275, 486, 1118, 276, 500, 1129, 292, 515, 1138, 307, 530, 1146, 322, 545, 1152, 337, 560, 1156, 352, 1252, 575, 367, 1266, 590, 1171, 382, 605, 1183, 397, 620, 1192, 412, 635, 1199, 427, 650, 1204, 442, 665, 457, 1309, 680, 472}, VertexColors -> None], Line3DBox[{277, 682, 683, 1119, 278, 501, 1130, 293, 516, 1139, 308, 531, 1147, 323, 546, 1153, 338, 561, 1157, 353, 1253, 576, 368, 1267, 591, 1172, 383, 606, 1184, 398, 621, 1193, 413, 636, 1200, 428, 651, 1205, 443, 666, 1208, 458, 685, 686, 687}, VertexColors -> None], Line3DBox[{459, 667, 1310, 684, 444, 652, 1289, 429, 637, 1280, 414, 622, 1274, 399, 607, 1270, 384, 592, 1268, 369, 1159, 577, 1254, 354, 562, 1241, 339, 547, 1231, 324, 532, 1223, 309, 517, 1217, 294, 502, 1213, 279, 487, 1210, 250, 473, 681, 688}, VertexColors -> None], Line3DBox[{467, 675, 1304, 452, 660, 1294, 437, 645, 1285, 422, 630, 1277, 407, 615, 1272, 392, 600, 1269, 377, 585, 1261, 362, 570, 1247, 347, 555, 1236, 332, 540, 1227, 317, 525, 1220, 302, 510, 1215, 287, 495, 1211, 266, 481, 264}, VertexColors -> None]}, {}, {}}}, VertexColors -> CompressedData[" 1:eJztfHdQVcvyLuaEGQFBVMCcUOSgqNiYM+aMipgVEyIqoKJiwIQ5Iuas6DGA ujcGTCA5SN7AJmMWsxjecvOte+vOq74e7j3vV+9Vvb+omppqenp6ur/u/tY2 dpg/bFppLS2t+uW0tMpIf9/2VXY51DKNLC89u6CbqKCsn1vPDFFlUPVchWb9 3YPi9Z4tvDXri+sFaNYdY55r1r07bNest293SLM+YO1bzfrs4T6a9S6z2mnW n3aodFEjZ+0TzfrpKn90/rU+95qNZr32Jcuzv9Z9wwqtfq0P2rpes9497K5m PdDAXrNuEnlasx50/ue/3c/J5/Th9OfOy9mnpPY0jLM4sUpaVzRtebuetF5j 4HR3O2k9avjNr24t0qjB1bK9R0nrVqOsjoVJ61N/DJvl3yiNvrar1ehgkoKC r7o+65WRQZkhOrkR1dPoSIJuUPs0BT1ITvfuXJBB1mWnfU3OVNFplz4f6+Qr qI7VvriV3zJIqfNoUL0LKtphVHFog/cKqhejcv9YW00RdfRCxu1Q0a4ZA0qH fFHQyAh7Z60Gana/KF8X8tWMPpz+3Hk5+5TUPzn5rXRNOmsZp9H1C9erOiYr qOZk6+YqdQbpd/Qc/eCVivq/c1+9JEdB0TGD1VM/ZdDqAQ+0xvdX0deQKV6H KimpMMC6d6q1mh68stWrUy6V1rTxCTYeqqRT7tO29wpRU5311e6a7Egm8yF/ hF8+piTji1f/6D4zk2509Asqn59E7nOme+kFK2lgYd/HLf7MpNrY3w77G2J/ EOR7Qv5pyBf1eQd9ZP37Qf8o6M+dl7NPSd87d7+iPrI9nWtVmmX/IpU2Noj/ o099JU3XdlSYTlfTgGtpFqmvkuh2qGv2nkdKCpvc/3MXv0y6GTen0rj9ceQx zXBvdGEgHW975e3yT9kUOnBEF3vdGFqtLNIfs/UhvX5wdvfxhFwyzXhRw6Zd NIXN2lrH7F4wlR82x2KObx67XyHIPwb5vaHPXegTAX0WC/rPgP56jP05+5Q0 fnLvnfPPftD/jmBPT52inVqZMWS9w+z7Uf8gOjVlXueiJrlUyv10uVcHImm2 8tZPs1mxtOhW5qJJywokf3UIHncyinY5H53l8C6VblS1mvdnWAEtyIhLDnOO pkLzyZ6P60rxt09nI48xBeSG/d7YfxP7tSB/PuQ7Q/5K6DMQ+pyDPpz95fMW Cf7P2aek+agrE9+49x4A/1kF/zkB/+HsWcWr89lxJ2Mou8KulrRLTallv1X9 NCOf3J0O7Un8GU9juwVX6fImm5a5V9/Y+WY27Ru3L1HfJ5FiTYcXZazIoYX7 exp1XZFFi7F/FPavwH5tyM+B/BTI/+FWrI879HGBPpeh/xrofwr63xPOK8cf Lr/I9nT8i/mdyy9i/JTjYRjer4fwfmX/3Cv450rYxw72cYF9ioaMTW6/IJmW TrvcbYZBLmV9jPTzM8ikwTVerqtpkkzrju06tlArl1ZVP5tfYVQmvcF+Z+x/ gf3LhPtyhfzl0OegoM8T6O8J/d9A/xrCeU1w3luwz3bYxwj2KSle4vL7NeSj 5UI+aoT4+Qjxsyzi5yK890947yfw3g8I/rkA/jlMsOdK2FPfvf8xT99E8p0d nuu3Mofq2+qPnuGeRT2xfzX2b8T+dZAfDvkesv9Dn8/Q5xj0qQ/9U6B/Jeh/ GeddgfPa4rycfUqKPzl/roX7bSv4M+cPsj/vEfxnLfzNHv62EP72E/65DP6p hn86wp7esOcc2JPbz8UfD+hzDvoEQJ9g6L8N+hcK/twe5zX9D/2Zi89c/LnP 4CV/Jj7L8XC5EA91ET/fIn7GIH6uh30cYJ/5sI8v/PMp/HMu/NMT+ycJ96UD +a8hP06Izxugz1Lo4yfE5zNCfJbPe+Yvxue/Wh9xeH4Vk397Mfl6BfK7rZDf 5fN64LxLcF7Z3y4I/rYU7/0b3vsRvHd5/3nhvcjyPQV7ukIfO+jjB326CfpH Qn/uvDLeOAr7PPwN3vhv8bOMJxcBf24C/pwJ/MnZ/5zgP2fhP4/wfvfi/b7H +zVG/IxD/KyI+Cnv3yXsPw35npB/DvJtBH2ioI8To7+In+V6YQrs8wX2efwb /Px31YOcPquY+kus1+T3WF3I73I8/JPJR9UYPMC9d84/Of2580bCPvVhn46/ qQdL2t/g5P+uvyG+Ly6+cfmFy++3hHwt7+8C+WcE+Vw8FP1T1p87b0n7G/+/ X/c/06+bM/SC2UFpfbeVXUM9ab2y/X6vodL6+SbF++/4F+/fWc37/8r9/6fX tU9OKPKR1kfX7K/QrM/d+eDvXHeyKf6/df4s/r8byhT/3/9X1sf599JbK61P NizzzVBaj5/xvNR4aT3V9oZmfzXvYv+0vratuJ/TXn9aoBQfeg2plt1HWvfb +WDfZWndseCUZn8Hh9ea/Z+b7dPsd5yYtDKjSRrNMAkfYizFmSttHeaPSc+g DoNmaPZvm/hds3+041XNftPsq6e7G6RRuKfOorwUBfXu0zrwbnYGNXoUo3l3 W8vX17yvtzrvNPsfpF+Z++6HirrXPrs7X60g0x8nmi9+k0HZbtmdfu3Pnj1M s3+S5VjNO53Q13pwy6cqcjjyaaD+c+n/Hj67YkJpNU12ydC89xl7Nmn2m58J 1uxXWbQ1yj6joph1bdfHSfH2eLsIxeg6fJ3FyeHiOSf/r+o/CvqX1D4ltf9f vd+ruN+S+k+Hj8Vxb/q9Yv8cY/rv/TNb+4vJEUlOxb3qYbbS+tRhZU0DpfXd ORVaTjJNo8HzQg7mSvqMn+heIUnKa5PmpIcdKJVG0R2vWA6X7NAsv++3oa8z KKxbowvePio6NvHN2o2fFDT54aOdRwzUpOjbMcQ+KpX8Xusbz2+kJP+jjkGm TmpKiluxasyZFHrjEuS1dpqSHlZcdqvsWzX1W+5gk+6eTAcWKU5MOK2kRyNz +0xa+L/3zwcAL8n7Dwr7EyD/NeQ/gvxbjD7hjP7yeWOE83L24eyp7KnssbNx Gk2p12b3bGm/Mq9r9zzpfs8VfEqx+aai990zZ3tkKqjapgOmh95m0HabJZm9 Bqmo0G/XsC8VJTzvcrS5Txc1Tcx6Z+s7N4VOLG5Wdb6Tkup2SBnbtrKEq4/s nBr6KoFmlluS16pDIE0YHD3yulcWtQo9tD/upFTfrj+/YteHO+Q0YG+47vIc spyUZ6n8Ek2tam39fOX9Q9rxcZWX+5t/9s9Dgf/LAf/L+1sI+9tA/gzIXwD5 ztBnBvSxgz6y/qegvwH05857Hvb5APtUh304e4ZPSLzct3YanTZd3GCBSsIV bb+b387LIIM5+l8D3FQ0dcs2vfs/FHTK5pT+tWZq+hE24l7Ldimk23KYw82V kj7H1l7Xb5RJt46/8X2+9SldH9Bxe6wykJJ/6ORab82miYlzzzf5HkWFKUUB k9xC6EzG6xa+oXk0Ma9HP1O7SNKeU31f8LOnVPFmmm+7/AK6Pyc0zOpmFBVc j+viPFVFN9Jv99z9qIDmo559K/TP5f2Zwv5JkF9ekM/pcwP6+0P/FOj/XTiv Ic5rKNjnNOwj2lMH9mxRbmX3d89VZO/bpKpuroKeVmj1ev/nDDJx1tm2zj2V NmtViEuzVFJQS3MTnT1qcv1xpM3dyQmUefn8WbNRgdRk7u7wZo+yKODaW4Py WtFkfFN7keHCELK9s8qkYUgefa22+k6RYRSNybrf4mZOEtV6ffnoq48FdG+G T4tAj1h61LTi9/QTmbRkq3aTK7fyaOGbr42rmCXQaoe1V/aWy6G1S6js+p3Z tBf9mRj0Z5zQn5mF/SuwfxP234b8IMhfBvmyPuMEfa5D/6bQfwj0X8qc1xj2 2QL73Id9OHsGnB8wR1uponNV9nXxfSPFpXauQcZV1bR8trvp0TEptLFMi3na S5RSXlvRx6x2JhkdiPgz/Hos+WzodnjWmjtkMedV787zc6jg5IY99rsjyT3A 9O3zo7H0onNX41ZrCsjCss7mK+4xdPTa2Jo3J0v5eO2hUbU35FNH61NzOyYm UIx9WEaYdQ5p5Y5dXL52NuUGP/eePz2ZDF6GbWmml0uf6laJr2vC989TsV8X +39if2vIj4T8ipBvBn18oM9d6PMM+jtD/+fQvz7OuwvnbY/zugv2sYd9bgj2 dIA9HS0b6q05qaJ17/0DdnxQUJlzOm5PdNX0dX7fBwdjkmn1ucN5a3YpaXDB VvMjAzPJIjWo7/5qsZT/WW9BN70gMsjstqu/dO6Hud21zQZG0vEly7aFbYmn 7o1UKWPLPqMGR5XXkrxiqXFus8PmlzOpdvcuz1dezaOKG1qX3fs9kTzWmDbu dTiH3vsbbWtrkUUhgWOeHX6bRF4KwwFj3+TQiE8u8bGufP/8Dvavw3477H+/ vli+K+SXDiiWrw99DKFPXejzCPofgf7doL85zvsK562H836BfTxhnyGwD2dP zv6iP8v3VQ/3ewz3+8df9Ofj8B8l/Kcr/O0p/K0op9jfXsA/DeGfhfBPrn/O 7TcX3ktZ+HN74X3dhj6y/qug/0vob4jznsR5LXFeN8E+k3/jz82FeBKHeGIs xGc5/nDx6griWzvEt2GIbz8QD52EeBiK+BmD+Dkf8XMF4u06xFs3xFsfxOc4 xOd5iM9Lsd8T+1di/yPID4d8J8j/Dn1mC/rI+psL+rvgvNk4b1Oct2EJ4zOX H0W8IefTr0L+rYf8ewX5OgD5Og35egzye5XU4vx+EfndDnjABHhAG3ggGPih tH8xfggAflgi9M+PAm88xv7v1/91/wTIbwD5VSBf1qeSoM9lQf906P9FOK8R zlsX9pnyF/EGh/c4fCjiyUjgyfEC/jQE/pwFvDobeHUy8GoT4NtDwLcuwLdt gYdtgIf3Ag/L/fMY4OcKwM/m2N8F+/dgf1PI3wf5iyGf02ecgP9l/bcx55Xr i49CfRHI2PO/rQebM/WgA+qpm0L9FYD6K06o1x6jXuuB+s4H9V0w6jtunsvt F+XL9SCnTyijP3fektaDXD3O9oWY/oAJ02eQ+xU9hH7FePQ9Jgt9G7l/Eov+ yQn0T7h+SyrTb7Fj+kKcPpz+8nlnCufl7MPZk+uHcH0Vrj/TEX2e7ejzjEGf h+sXcX0nrq9V0j4YJ5/Th9OfOy9nnwVXa1XYIK23cwwY9cvO1WpevTNWWrf/ bDXggXQvOzvcntRbWu8cGnH8orR+zmvf54FN06hRxJQllaR7NG98/21z6R43 fh9T098ojRa38ezQWLp3Pb2u9XpnZZDdfc8pI2qk0VRvj5m6aQq6cqbD2NIF GfR8UNJPZZU08t9qHq+fLuXfJQ3rf30m+fnIhOfO+mnkUqnh54GpCvIM0zm+ Loe3p/tIKw1eeljbR4OXhlVdrcFLI136bqzyQUXb3PUa6WYrKGNCZqVr7zNo U6ZW7y6Sfzpu7J2cL+k5ebb9svuSf0a1D4pp3iyN8q9tyU+U5K/zOdYvNC2D Wt/Ou99W+r+u/mPWtZHWl1h0aLJS+r8TN+4ZtedXX/1053b60vol93WHhkvr eqeK48PYxcXx4VaN4vhw9uH03UekeLKkSqxVomS36IMVfiileOJucsOiebk0 skqJrLIpQ0H6U0+HhL7MoMITVa5vCFDR1++3Rvm8VZDqDzv9mtXVFLB3Y8eQ ASr6I3FD2UGVlLTs08IhZK2mwqmRzy9UU1Hll6UvKHWVpK+b7rhgtJo61Z3i s7+9igbn1R7jW01JppYtyx/qI+VlJg4822d2r3lhMhnVTozduUVJfYZ6fa9L mUQ3XmTHz0ulvi0CWqitlFRuR4+wtwfVFLzN/sfGNSpStLC6Uvm75LdnDh8c 21hN3z3CfPv9VNHinH7Hnkrx4Un83o5DpPgw+LSW/jDJDloel9wKJDvcv1bm WNq/4Q83NSqOAzWti+OAx9niONBk9R1Nvqs4vbUm33XztNbku3Irh9pc+a6i rlkT25tJ+fFc+43RP6T/m7QoZnQ9exW5vg8p/7SskppsPtDTy0JNbV3a9Y56 lUKe6W7tK4yS8o5B+IuoGDW9r1/mxNcKyWR7YkO1mveUZDnNK3fp8UzyGDBm S7fgRBqR71NgVyGQgsuu7ryqVRZ9c2hQ8fPTRNp10Lv22LKBtHpvw1NHmmT9 g5cl5rXOV9u8T9oXQ1ndajpWU96nA02czy6cnkuDV+l02KwXT60zjk4N8Q2k IO8rpS8NzyaLJ8Fe7QKSKWRIha8bDygpY9O1dvZjMumbX+61CYYqCnrvM6mw tpJaZ8ZpaQ3j+cOdhvg9emmcRuUjBsZ2SFbQneubxy5RS34Y+UHjt1MHZWr8 Nv16OY3fhsXnaPDbyNZOGvyWOOuTBr91/pyX/NZDRUVTqr/xke49/+PASy5N 1HTtYWq32HkptOOAokFLCc+0cbzw+nylTIqIKXfzYtUEOvgh5+b5mYHULO5k n3bPsuhHUej8tCqxZBTQ5V1p4yB6c+Ns2pnSueT2+sSbnUujJf/pcK130GMa 9meH6172eZRwYEwlu5AoWqy0TnexeEIVK6wP2/w5jxoyPAeHXaeqlO8v4eGz i6OuPJfu07XF9kcS7t1z0q1yYXwkjdlkYP+hTDQddN91eFH1Agrre+/oxAmx pGwcMu7O97s0dU7nL+8UOSx/NbnP68m+1SU/p5a710vvTnHB9XVF6d152TUr Kv9JRZMcp+w4laWgiLh3m5PfZdCdUD+N316v1U7jt58v9tT4beo2X009Eu7X QFOPHFxdX1OPbJ6mten++lQKTfzae7qFZE+dsjV7bFeTTanW02+lJFCbTR9r TuwcSA5rpg9Vb8+i8job1+RrxdCuSd9ca6Q8pENF7xb0eJZLJrdvj/U/EUmb KjelzuViaVudjbsNZxaQjeXKTPeOUfTmbkb6s/XJ9GNhj9wWrwpo+LK4HqNb RlOCjUlCkXs6be5kfdlzRwEtRN3xHnXHKdQdFZuaOff8I54iVLOav52bTf23 HN1/eUYO1bm0qWBxzRiqPvdQ/OLUDKKBYYMfpub/gz+8FHyexeDzZJf1K1q+ TtKv1OlGIbPv0pe5LbJ678shS/j/E/h/Ovz/z2WtfrouUFGT6z4nOpdSUucx cc3XtlaTQcwNjd9a1XbX+K3t9crtf/ntvneLNPlibltvTb5QvJypyRcTm5yI GDI9hSKTlulVdlZS/SjHQ0OrZtLhUdO7ln0ZS1V+Gh28rn+bPkdduDWuWw4t HVLjRo2oSFqbPqdT9/7RpB/h3GKfYQFN3Na0JsVEUfLZs3ViC1X0p8PPB1m3 C8ir/LZZR5rGUeH02QdUhln0ZoM6ya5VHjVb/7Dzk0kJNGbH3MchdSQ/K3/B 2mNeNsvDbGxu7Hr5j2SyCcxe+rF8Lllv8vVp2CeTloKfNhr8NDfw00zyyzzx bR9NPpVG+3lvT6cRAZ5Xvm4qoL15pyu4VYoij2vvPRZbh9P9rr1D15/Mpz0J +YNOxseTp9G0AQ+dA2nEHfNNj0tlkw3ifx8h/vcLHKXxW59lZhq/dR1grfHb s5vNNf2iOS+uaPpFtSO0Nf0ifzPnxtpJyVQ20dat7k4ldW/hd03VL5MsPl7c s79JLB1Y4N7a7d49mjylaeWlz3PIw6rrlHnTIqW61GxK7KanpKx8+P6ThALa 3Xyti0t8DDVqZlO7d7SaImdb57bulk9VW4cmXnqQQLoLyi0b3CGHmraKup9q nE0TXEa/+y7ZrV75EZY1KuRSaKmk+zm9+T5nL4G/6oX1hvsq7m9QM4ksnZ9t DjqZQykLTncb1ziLbl4c+KRO21jydep+6KRNJpWd4DN+2tc8ajN8Cxm7R5KT 7dz6OcfjyGmku5XiUgEZeWRNCT8k1YkDu9Ry07tLLwoqRlf1zKG754YEtR2W QpXjXZNdlipp3oeJD9/WySQ34JwHAs4R8c9QrAcxcgzxf33xf1/i/3J63sG5 TuFcP+2Kz2UBO1jDDmGwwwjYbT3stpzhCRuhz+mAe6mPewnGvZTFPdbGPbbG PW7DvRvh3mNw76vgJ6fgJ7fgJ+bwqyPwqynwq2vww9KCH56B3zoKfttf8HM3 +Ln4LsriXezDO1ojvKM9eHcb8e4e4N01xTs9g3c6FO90ncATXoB33Q5xoCfi gAXiwBzYfyvs7wj7myPOjEec6Yo4sxVx6SPi0gvEpQmIYwlCHOPi3iHESW3E yS+Ik3aIq1GIqw0QV7k4bMjEbS7Ot2dwEZdHZB7pCoEnbIQ8ZYA81RF5qg7y WjzyGiGvcfF5BPJmCvKmF/KmnGcLkWd/Is/KedkbeXk78nJp5PEjyONHkMcJ eb8t8v4U5H0v4IQw4AQz4AQZV0QAV/gAV3A4hMMtSQLOUQLncDzVJ8BRQcBR 04GjZNzlANzlC9w1DTityrlinDYIOE3+LuCL8F1AInCgE3BgeeBADjd+B85s KODMYOBSH+DSlsClV4BjdwLHmgHHWgH3fhVwr4iTk4CTOVzN4XDuu7Mi4Pz7 As4X6wIZF/VGHWGGOuIx6oiOqDteoe7wQd3BfWenNaW4rtmBusYDdc1qoQ56 jDqokKmbWqHOWos6awjqrAShLmuKuoyr4xqj7quAus8GdR9XJ3K8TVvUoT9X /msdytWtYp1rjzq3G1MX56OOro86ui/q6CvCdzr/qAdRpw8R6nSurvfn+gBM 34DrM5xBX8IFfYko9CW4Pkae1tKbv/h+9Uweh/zqw1wPiM4Y8m/6IVz/hOu3 cP2ZEejnbBf6ORwu4vqccn9pidBf4vpRYv/qKvpXXL+L649x/TTOntw6168r 6Tonn+uvlpSHxu0vKZ+K4/+UlF/xV+fX8v6Szgc5/f+ueQHXv+XmFBwPjeNN mQhzUpnnswJzai+Bl/JN4FHYgiewXNgvz/25ObUBMzc8x8wBufOW1G7c/IXr n3M8SY7n9hNzUh2Bh+YmzOUbY04t8yIOCTyf9uBpPANPwxA8DW6/OyO/iJlT c/qLPEl5LlZSu3G8WY5ny/E2OZ6hAnPqawKvj+OhyTwNV4FnwvFkZJ7SUmG/ P+SbCPK5ub8dM+fleLbiHK3Xb+zG8Zm5+RHH410g8E4nyjxPhpfI8ejMwZM5 IvBkjMBTMgFPSQc8pbbYf0jgicnyJwjyx0KfCgJvwVGYs9tD/xs470VhLizO MU1+Yzc7Zt7Kze8ShTm1zItuCZ6Aq8Dj5XindxmepIXAUyoDnlJ5hofWUuDp VcJ+Tr7MGzEUeCPNof8G6O8M/bm5PDenFu02EXbj+P/c/LQvwzPneM4PwJN5 JfBkFoOntAY8pVXgKXE8yWDw9DaApzcKPL1k7K+D/VoGxfvnQL4H5HtB/kPo UyjoYwH920L/XdC/J8OLSGXm/n/X9xclnWtfY34npzdzX41Rhz4Qfq9AvseW wj06oT/wEf2BkwLvOl+wJ/f7G264l7W4l+W4F+53DwoEf/gAf+D4nJnwk+3w k27wE+53EvIgvy7kf4R8T+gfJvx+wlzBr9ZDf2fhdxVOCDyxItjHH/ZpAPsn C7+3IPOdOgp8p5Lydn7HPxH9tqT+VtL4HI949UqIz/J3Fk7CdxByfK6FeFhJ 5ukhfkYifi5E/LRmeKo1EJ89EZ9fIj53wv447P+B/Q8h/wnkL4J8jjcox2cv IT4/Fb7TkeMzx/Ph7FZSvMF9p7OQwRt2yO9FwBvnkN+/AQ/MBB6oCTxgCfxw UuAJczxtjlfMyR8NfbSBN/x+gzc4HlpJ8UZJ8TOHJ0X8KePnAOG7klTg1avA t62Bb4cK+HkN8PAr4GGOJy/vXy3s/xPyLQQe7yWGdyrzJE8K+Jnj9XE8NJY3 9R/Wg+J3ZFw9JX6nI9dfzqjXslCvNUO9ZoD67qLAG28vfKcg14Py/vPCfieB F90c8kXesszj5XinHE+S4/Vxdvu7+hscT5jjaTdk+g8cD5/7DsKV2c/xzDl9 OB7v39XfKOn3oX+1/yZ+LzZJ6I+V9HscuV939r/sv5WU/1zSviXXD+d4aPI8 aJQwD5LncWECz4ebh55heBQc74LjvXDzPm4+xc1TuL4xN6/pxMzLNmFe+UTg NXE8HH9hXm+Def1lZi4szjHDMcfk5m4c/5Cba/gL80GZ59ad4WX5CjwieT7e HvwEX4GfIM9bnQVeGcfr4+ZZ3PxF5ontFHhi3Hxf5lecAb9CAX4Fx4srEniJ rTCv5OZr3DxI5iEkCjwEjv/zB+ahwZiHpmEeKs/vlML8bjPmTXMxb3LAvKmS wCNqAf4Jx/fg5lMcP/kZMx/shPlsrsALnYL5eKlz/8pj1AM/IQH8BGvwE8wF fog5+CEzBX7IPNSbjcEPGQV+SF/wQzgeYDLm73Mwfy+H+bs8L94pzItFHrIJ 5pvcPI6bqw7AXLsN5toPMNeWeQVTBF4Bx+vgfv/NErymruA1PQGvSeRvyDzJ FeAbzAXfYAj4Bp6Yjw8X5uPvmHkuN38MBY/irsCjkHksKwUeS3PwiPzAIxoM HhHH45J5ESYCL0LmPw8U5vjc3Jnj+WeBh7MbPJyv4OHIPKjtAg9K5qEtAQ9t EXhorQWetswf4Obd3Hx2h8BvHAVeVl3w4k6AF/cavDh5bt5JmJtzc947Au9u Pnh3JZ3/cjikpHPhksrh9OT4hNw75ezD8RDqwf4HBD7kQYFHNwz3xd3vO8Ef 0uAPZgzPX/a3+fC3hfA3mR/rJvBjc+DPm+DPn+HPnP9z32tw3xfIfPgGwnvk +KUyv/cg3vtIvHeZX+0s8KvleHJbiCdc/OH4J9x3EDL/ykXgX8nx863AfzND vO2CeBuJeOsi8JmXy7+3iXheTeCTy/HfDvHfB/Gfyxfcd0ZWzPcyP5jvO+KR B12E7xFkHmAi8uZG5M1WyLNjkWd7IM/aIi+vRV5ejbxsgjxOyOOEPC7z7cMF vj33vYM1cEUqcMU+4IoCBodwvBqxH3v/N79LzPWHTdBnjhT4Zhzf74DwXfn8 3/wucXesrxL66qsgJxRy1kCOPEf4IMwRuO9Krvzm94d3CnYYKeBDNfChLnBm XeDMhsCZHA8qhMGxewQ8HAE8LH+PkCrgZw5vc/ic4x/K/Hw/gZ8v1xFeqCMM UEeUQd3hK/BauTqF+15M5kn2FeogsW6Searc91Ny/eWD+ssB9ddBoV4rQr3W SeDfTkN9J/NFd6EebIt6kKsfuXqTq083MrxcjhfN8dvHM3xsjj9sxXznxdX7 XN+A6zNwfQm5j9FJ6GNwfQ+uTyL3Veahr6JEX0XFfG/F8Xg53inXF+LwWEPd 5ol3pf0ve+Qa/+rjOV/qV/+StO6hV/dMWQkvDS1/bkJdSX5qq9Zv+v7CSy2M VjcwTCPL+W2z/aU40NntrY6DFAcuLXLpOLd0GvWfVOFdI+mdOg0PCvv0KoP6 9xu9t0eaigyC46foFyhId571/iU/Mig59HqnuBsqeuZ812m4hIvyt80utaYa 35cbmx7kaJijomVb13fcmyfZ50evBxuKMuhyRtj1KhXTqKjThgv5Ek7IDOvY 0/tFBlVdusRJKeGxuCinKFNJzz0+/e17SHjs4Ynu4wKlc0VrF9x7I5331NQm j79Icebzi9Fb1JId2lo8f0PSerK3d92j/8ZuwZ0eKr+USaM5Xx8+CJdwo1PO +uRB0nnt3+1tq31ORbZ+I+ftfK+gI8trxifqqGnYzM1BgaVUpHe116VddZU0 u8XTXUV2arIc1/NrSINU+ty39e7uA5SkDug1IDZQTVfso45P6JFChU0u97rp JuHY9MtjB9bjeW51I753i+mjooB7a1q1qqykmCFWwwu7qmnq5KUnX4RLeMnE SOfyCwXVsTWbvrScVKfUGz5Ur3oaLd+g18BOwoczjuzsulHCh9+vvTS4LflV gZmq+WTp3k+MV+TEpfP2cavpELwmIoW0y+U1N56gpFVHawSfyVBTk5uV3hq0 S6I7U22nDX6jpAve2rW3/8wkhbHpzJSfT+mdj3bCj+OB1DfYd1L8hGxad2Hy heb7Y+lr3faXqje7S4k+jzrpbPjnfKFA+B2k2t9mpby8lEpFcT83bm+ppJlL dPW0PdTkNy9nfEs/FY3tOnz++XcKslTH79Wp/c/zrhDOy/lDrWY33dYdiyG/ tw55bvvvU9+m9Y2rTsylLYVWt+ZWiKInk9v0HL49nDwjl/58eCGfIir7V5rq FUnB906FT6sXR0fmx4cM3/dPHtchzKFsMIfqyfSpajHnku+xinCPnJ93mfbm w/LdUTSu1oTHDfanUkyud7Ud0QX0o12Op++BGDJOKaqZv05ND9yXr1u4IJ/q YS5pjLlkHcwl2wv9K5nPr8/425/Me2xwvaOpc0QCOefnt9raKYd0K+32WWjA 84K4Ok6OA66IAz6IA8HM71lx36Md3phbOHNkCj1xHHbi3hIl5e+et26bTiYt 3P50b/jFWPLIGu6yT3mHgp8dbdDKRcqz0SF3a3hHkpWRS5fZmbFkGzQob/DW AjKybWi+80gMLTj96pHtVume+h8aHTgnn2YMVL+fqJ1IimruyxsOzqH6y2sG zXqeRQk2K3qdt0umQOeCpILauVTeuvd3z+aZLB+jHuy2CHarC7t9wz02FO5R 9sMQwQ/l91WE95WA93UJceY94kx5xJkkxOcCIT5z/cYt2VH7ypRLINsv0bN3 zg6knl/OfMx7mUU7N7YZmu4aRYbaPad/GBhKbjvMp53okk/jKw0eouMpvSNP /WZVLFNprK321RfxBbTFpfybgafi6Oz7Y2dGzc2idu+vf+h1J5e1Z3X4z2r4 zyv4j+z/dvD/aPi//H4jhPfLxSULIT5nIj73E/KaHvLajXpxu/0fxdLY+F7h myvfoWrfH/l72+eQZ9PW1VtkRpJrgd3x4dujqGLSwphTRbwd6sOvnOBXDvAr ma9oKvAHqiNeBSBe9Ue8aoQ4fFuIw0OFfDQH+UjO4/2EPB6Ac9kL59qO+zXG /S7H/crvxUZ4L/Jc/qjAa10m5JHVyCOTmHwq45AOAg7ZAD8cDD/sAz+cj3e9 Ge86BO+am18/ZvI7h4t8mHjCzW1F3LUYuIvDP9x+X/zfEPzfPPxfLn5y+nN4 Ro6HbkI83C689x6wM4cPRVx0GPco4gf53mX/sYT/DIL/7IW/VYW/LYW/3YR/ joB/VoV/crhUxmO6Ah5rzLyXmnhflwU8oId3OgvvdCbe6Wi8a3+863F412sR B5wRByogDnBxg8PPHG4U41gfxDEOt8hxcrwQJ0ch3voj3rZEvPVAfD6C+GyN +DwG570hnHcX7qsO7ssV97VZ8J9e8B+uLuDw8HrktU9CXpPz4BMhD/5E3jRF 3gxC3jQV8IkO8uwj5OsbyNe1kK85++jDH2YL/tAF/mwh+LMT3pcz3tcjvK9D QjyR3zXXB/tPf180j/l90WNCfK7/N/2+6F/9HdEy+B1RPfxfg//h3xEV600Z ZzaDn7jAT6rDTzjcy9VlWubFfthI8ENrvMeJAm7ncD5XF8j10TfUEbNQR8jv Igzv4ijehRwfYhEf1iI+1EDc8xdwBVc3cXWlXJeNE+oyTs/2wu+ryP2xtXjv 3/Dek/DeAxD33iPu9UPcMxHqUD/E86XIO1WFvMPVuVxdzNWV4r3o4l64uonD 4Rz+lPGbvoDfOLzE4RnuvNz9cn4o+n8W/H8M07dJYuK8nO8MBVwt5vFFyOMc DuRwDoejuD7P/wIAF8Ev "], VertexNormals -> CompressedData[" 1:eJx0vHk8l833P65FIZFCSmVpsRZtWsSkhAqJbO2WEIWkEkUoSygpSwgh2WXL EkahQhKSZE+pSEhlC7+Zua7r/bnz+H3vf66HuafzOnOuM2ee55znXCLGNton prOwsCxjZWGZgZ4ZX758Dlbr3Db36+c5IejJQv7rB9uUlW7PFHYoFDa34b+S f7fIcnwS/dcHcgbDtBM/pxTO2/+8lOt6fdE82Qkyzu0gP4u7qrww11y5d8sa FrjYt4iM74JjOhOV3wolNCUqAY8ovKDaNUrGvXqUPon+LqybV/Za9uwWyFNx tQGPa4acq+9d+7Nwtkj8nvwNqvDSt6MX8fi6yXDN+uu1Cnt7zj4QH90LFxbs 34bHj1DzFXinzF+mm6uM5Cs8nyK/1jFHHumjsG2KPnsvyGdwVZUrvJ+if8Ds PVxovQqbpqx3Mpi/e4awg8KI2b/2OVEWcadRrbNATiziTvB/7OlB2/GKFyux KzP/Lp/+brWP9UXMU3bHXzKudeaP8aFTM6GxhXRxXhkHPOj1aQKPLwh/qmW2 RxyCzKqs7DkbYJtfYgse748e7HbsVYJruwtfWRvowCh18y0TaFynV0AyT0IT mkG2pKeOFnD64hvwNxrPVvw5+4jCbniFV36vxKQ9tLT5VNuJxs2uZSg5Nfcr CjUe/VMvcBHK1M+Pfo/GX5uvXIDmgxX0/FZrar4RJR9MlR/rWtOK9AFwjRvR h1+D0uf2xiZxpD/YT+s/TuvPL6S4Ha0XCK+wIOs9TK/XKNW2X/VjvWKLoeA/ 9rlUtHPIOf+u4puBpC0s8/7PnpL0e+rYJ6VD/JR+Xw+S+yGWK1+SSuzK2PNk 67XIwx0bIfOcOVe8FI/LfuFr3FxnCE9zrHNaNOMYdHmxL2YEjfdYeA4teWIL zeHGlQ/MnODslSO3IRr3L/zQ3GjiCOd3Hh0XWOAP73/p46qd6APbK6UiuFnO wR3+Pm0nxUPhKUlWvs3jfcBmfyhL1WshWLQuNXJPRQR8/L72yd6/fcCnlcwH zgZ/W/H8TFVqvv0rIh9sDaz+i+VHjVDy3WXX/UD6gKVvKH18NlP6GMCPuUh/ kDuP0n+8itJ/3ziHC1onqN7KF4XXe5he77ldHObIPiBegs8U2+c4bZ8a/wgZ ZE/F8B1t+xs6/8+en+h9wux7Zr+MWrNn4/eqUm2/H/tpC/1+99B2XLm4nNj1 EG3PWRMHXKC/C2Se7a6zzrqj8adfRu6nRgfAL4MbJJN/hkAvWR0BOWSfubdC A/wNQmG/uF+EnGgiDLUq2RT2sw/kmtyqNZC4DTMSfX04D2XCi4lFn5Z86QOP E6Q27TaWgI8yMp75VWfDnUq+xXIf+8BQe34Lmg9aHvqQ+c2TBWS+ACUfTJUv 1+4eivQB16u/En2Slx8g+vBMW26A9Abz5fsuY/3nis4m+n+5GrIXrRecXU6t t7OWWq92ZpU1sg8Ipvex3w3KPknP4qyRPUHe53gFljflhctoe+6m45RcavcB HEeZeMXsc2bfM/udu4Dyg2lKJ0awnwqJUP6wrSRUCuv9Rb4hBttV4YE20f99 wi3j45cSIPP0kf+4P6WnD6hk3vt5QzsVzlg39m7S6zGE9vfOltT0gep3nSay X6PhbUeVWVE2BdBfbmFN6os+YDX7YOnO1GVwMDawdLiiEHYO7S7UfYni55Mv eD54XHxmJp7f+nQpmR9XcRvLBzFSiR+w/Eau20S+sZPoIaQH0Ok8Y4r1SUjq Ivro+enOQ/qDiYa/xC9i5Q2I/gOhn/7GmjkBoXRqXwqlUeutgRx+yD4gp2nV V2yfg3qUfdjzarWRPcGsoIWfEhO/FT6h7TlKnxPMucScF0xcY+IoE9/GvePI Pl/xmNr30a3UfjSUbbqH/aaqo/om9lNP/1LiP7Wpte/xOvuKQohdXymFkPXO yC4o4k3Lgszzz5GcBwYVyD/tX9/pFImGmc1ucw+MpMPqZzPe3O9C66oYt7mt rgqen+cL2mGeAud0DBk5IvkX/evxfMALf83G82t3ziPzS7W3liK54An1hPfL Q4n8hL59dUgfEL9IsBfrU7UohejTNPOGJ9IfLA1Xu471v/yzgegfNj+zC60X VPC3kPXeLP5J1lsDlY8i+wD7/s/S2D4BByj77Gs3k0P2BJx+JZ9eSf8uHKqk 7LmGPqfnreOG+JxnzmvmHGLOJeY82uZAxU2Bn0cScBydM5eKh8y+/ULt4//t X8YvGT9l/JOxy0nKTv+zj1gCe+zKGech80y3PG9dgn43Jdr62tZ1hsDpQqah 6lU/MGDGnbkcn5uLG/tXzDgPdP5ykPlF+g5k/sHReQuQfHDN8AWR/0ppqBrL 75x1bzrSB6yL6iH6SGusIPpcDz3sjPQHSfyvif5xY81Ef7nIwidovUDrriw5 N1Zd4iTr/cjNMwfZB/h9J+cwVF34mdjnwsmgF3kbVEGa7v72SZeBQus+yp4+ NE5KHA+/gXETg5cmboeSc30Gfc6ffUud7/psQuQcyjxLnUuSY9R5xMRNJo4y 8ZPZ58y+Z/Y745eMnzL+aVIiwoLtyNN845ocsqv3QT5iTwG/GdbvQrT/95Th 01AfR+OXqflw6vxtHVdzkHzwd+busz5IvpFDI5E/RukDpuqTc0I8C+kPkvT2 Ev0DOLKI/k5lBefQesG9mtUsNWi9z/qayXpt0sISkH2At0Cqkguyz0jZAmIf jYIAVmRPMFMw89rkZJ1CXSllz620PzM4lPHn+9XniT9rUf4MXtN4iTnXmXOe Od+Zc+sldY4B5vxymCPChv25T6/UAMfRJesof46O6SX+nMS+PAnv+5A4Kj7c p/wTmlH+CRj/fJppR/z5Djtl1+m3eIk9t1J+/78n4/+MPwdS/gwYf87+ZoXj OHijN8MG6zNTfuE//vyE8mfA+PMaT8qf5YuN8f4FJUcpf17h4UX8ObmHwpVz +f/158cPl56/e3dQgfHnWTxUfNak4rMCE5896PgcKqIuhnGoNINvv1A4rGY+ 1weMm5r7qfg8L/cDic+m7GHknHccp873p45D5JwL2yg5jM+loI1UfC5Zkkji 8hOvinIcR5n4yexzxk7/s4/hF+L3xT6Un7oIUv7J2HHqfCY+M09GvrirGonP qss2EH0uhUUTfUbDfEl8fj4/keivs+Ud0d8jb5TEZytuEp+Bfw4Vn3mKqfj8 24CyT9eU+NzqW7pnfd0vBSY+m9B4o8Pn5VacJzF4g8HxDK5n8Lz20oUrMN64 to7CoUbbqPPXqjeM4A3HuYF3MW7yovHSXpMggjOKEpaTc/7wqq/kfFf1Tybn YsgT+xq87qC51HnExE0mjjLxk9nnzL6fijcghTcAgzd0KPlgqny/WxJED7FO dUP8bPfpI/oI7NUjeEMm5lwY1v/7GkOi/8MkCm/kOFDrjXlGrXeSxhufzhW3 YfvE0XjjtNCW/RhvzKPwhkIhbc9WGj8nt4g8wnkng5+16LxoNExJEudJYzR+ ZnA8g+sZPK95V5fg5qYqG32MQ3cLUfiTx60nGuOkaefYeAhu+q1P9H9C+Q1k /IjxnwNL3pBzqFR35BLex9cM28n+PSZRoKiE4mZcYiOJo81SGSR+Mvuc2ffM flfoacW4B6jw+hH5xq8o+csKPAh+LrIqIPp8nEPZM8PElugdX/qO4Og1OZT+ 4T4Ufi42vpSD11vdSK23V16P4GeNkzcksH1SpuDnza+VY826yhUY/KxM54NM Hs/kL6Z0Xs3knUy+yeRFTJ7E5Ecm/VQ++KddTB3r9ZnG8wzu/B8OpfGnZH5C G8ZJnVnUvtRNpfYjODYRgM91lj71AhwXt9Pn+/HLseTcZQtfTc6l9QtayHkk 6UFwABh5R81voeNneQaRD6oP7fhC5D+g5D8zFenDfjmWQOmTVkzpkxUoQ/zm Im3XJNqefvQ6mefjKfmgdcNhJWwfJh+cUVqzBueDnL3iDc9+/5898+j6BlMX YfJx3ZoAkrczeTyTvx+g6xu9Ba7kdxj5VXTe2ES/55v0+3XMm0nyHN6Z1b54 n2nT+ytlxSKCywdoHFpAxze2XgonPT1Qz4HPmU4aL6XOzCS4J+jXMXLOFz6n zncxCleB6ZXq5FxKoM+jL5R8YDWTncjvpuULeFJxUK5GkOhTS+sjIEfVNxKH bhH9Gf9cRPtZokPhP+tl7KJ979jAf+3TtiLxN65vdJjWLGxd/X/29NrxQw7X 6catjO98UOssYOpLI5OXSF2J72PDH/zvmPlMHSQmqIu8N+Z9tSh7sZJ6XV0O 2TfMfrlE1+vkC5RInsTkR9kFywDOi7KVt5JzgzkvblvsqMA43t5RmpzbdvR5 XTT9HsGdugXzCW5qpPHSszAKJ0meHXqO59vT8/Mo+QoNftJbsPxeWr6AL3UO bT3yZv9/9eFRZkvFcdN+mOX0f/UvMGkk+zwleZfsf9fL+KXr9UMj/7WPzfHN a7AdQ26uKo7ja/+fPeU+ydi7fg4tKikePoufB0ep+eHZLxfW1LsWWW/7drLj uXHho0lq/NmRmi1onmLrxev/zD/tvPLum3pXxVLO2g3Oxf83n5G7b2so+XfM /He0/HbHRmkkX4GZz8xr5jf5Zz4zL8KhPxT/DjM/bEDeEuvH6MuMc8pKr8bz lzz+d5yZ72p86+5/5cjv/flf/f+nzx6+Bi6ROsci5hlHj4v09wQK1zkq/lzN yf3fcWae8zpz8v+Z8doiV/I38++YcRu9wqA56UZF5leW1YZkahf+pcfLjPV1 0N8K1frU/2fGA0Waa/C8Hq9NoRzpRorMOPhtRv4urdD5rpGurcCMc93VIXLV 9P6Vw8y3SwLTBnL+73e30b+3X8VfG/8+M974WoD8/VHzZsR/fzdI3XC7vWFd kb3NNvXJlXVF/YvHqbqZ3M2PYPXDwuGoHwvO3XhT9LGX8s/Pp0Ne6bGwwMCl ngFHSmbCw3IHyLiwQOKh9N5nhXpu3JV5in+KfOZ3kHFDsYce8QIiUMgy01/6 lhTk5L/Zh8efHxefc1+ovbBSZbrq6yX8UJN9IYkzqwe3J/OybIZL3uaZHz6k BvWV01Tx+Hh1m0TiSF8h55yqy9JGa+AT7TsDePzVr1ON86+qwMXnpdX1zx6F IedZP46h8Wln+RPjzH4VpogYlD19pAjPe4mU4fmCMUE/o3+ow4X7jR/HNZ2C Ec/uSP1E402l2zoyUn8Udog48FtUqcKqe4ftSF2xx5qzfqYKvKQQynLM7RwU iz8S/hGf13SdX5XOX/novPXDkF/ZrCv9Ct+myLnk8W+9WpauV6uc65tzY5UK +NAfOXkUyX+k9i0Uy0/ilE1G+iuETtHf+bTJb6Q/eK9F6X+O1r+y6PUSZB+F IY5/7VMf2VCD7AP6hWcT+/yh7WOh6PErSqhdoX6K/WdtXhmE7A/uCjgT+4fT 9r948pkwer8K9lPer1vbOUv0fkH+jDzyfgXp92tgy5aI/EeB/f6//vPn7/M0 5D/gImcG8Z8jtP8IOMjxtdnaK/DHvlof6hFYtHaC8s8vB/f3nzWsU/wjzvKP f3r/WFQiWTIbKo4cZH3TOg1OTIqS8Zn7pfasB2uhcs96fQvOtbB/v2ITHt8h Ulq6Yq02FHp/ciePjS5csDX22180XhGSV9QvYw4f60mO5t0+A3u+Cu75hMZv fHp56MxBe5jGJ8dnH3EVXkl4XuOExu+qrnL+w3ER2nEnX3YICYBGbV+HnRGe ORYvtWDYxg7yJt06kFgQCie+qz0TQvjHbx9VpyiYUj9n/1RuKaFlBz54Cd3C 81VK988RRvPD9Yl88Oz5EiJ//S9K/rKYQV2kD9CLquDF+iQVUPp8vaWfgvQH d45R+rv/pvQfvx+SgtYLuNUvkPUeUqDW2/FrtgyyD8iMSST2kdCm7LMme8wO 2RPsS7g9C9tzOstyYs9DfV+/DFWshZYl+4MWKa2EJg/FPuNxJ7kTy7ndDeDn 0mbjIuED0LVz9nws33rxO6fX0eehi+858f2rzkPpdQ37nqJxc5OLJes8r8NC PWXpaCt/+Aj0Gu9A63Jw3vjQ2DMQTquK1Z1/9z6sYTvKYzjSB4aa+E1X+oVA ljqtGQ9UU6DLSSXBbf0Iz98IvBRV4Q//yO469iQhE/r/DvmUjvLTA3H/1s+V 6fpP/J0I6f5Cf7DhZqVpAZrvXvHJNxPNPyvTYYbkg/GNlPyX7duJfK1En2ik D6jjbKH0yaD0CcqRy0D6g+LgM0T/jmU/iP6Zhu1H0XqBwOdAMbxebw9qvY8O aI5xuRsAj7UNxD4yPZR9HDc4xiN7gkCbx4HYnv20PXk1trDFbdwPly7sPBx8 DMC9s7VCMU77zlPg7vXsHMxyV+e8vskSJiVlJDbg8+USz8UAiQAYlmMX2WB9 Hfp4S5jORvpIvFK1bBqLhs9DLZ48N78PJ/MPj0f97gPdp3a7jmgkwV+aUrwz rB7BLdvEd9t3Ivu8UBF74JAEh38tfw9m5MK3Knbhs9+g/eKZu9vcLwreGdLt CwkrgHPmCigYobx15aghyWd/0XW1T3Q+u03rrn2AdxRwUr2VGYrmx2/dv9EE jQ/FAywf7L905gOWz25oReSf/Rp1CekDLt5fzo/1yZKk9Gn7UXQM6Q8EUz8S /c/kGxP9v/5WMEXrBU2xL8Lxet3vS5P17vjlboTsA0J0dNixfWTmZBL7/JIO e/1g436w2axJH9tzGTdlz2nyYjVyNSfguUGpWjfTPTAh4GPHEBpff2Bao02s NzxVdztud4E9XO7rUbAdjXu0nBL8ahgDGzckj0UPBMBRCTXromEUf1r+rHZ6 nQ7jD99UkXz6AAYMsEoVfUL7SGZFYkRDNgzbXLsgTz4dWr7yX+BY3Qf21n0I cXyZDivLJuekT8+CcQObevjq+kCM5leH+NhIOCq6b++ofzps+yTDU/YV5Vmv qLpkOV2n5KTrk2Ua7Qs31UUCj1+vfwyi+bJ+H33y0Pxdx8fCkXzw9O8TLix/ 4p0YkV/B/Swe6QOOOkjyYn1eNd4m+vgpRa9E+oOrKjY7sP53DgsS/Q0Wr2ZH 6wXORXLDeL0vcnXIek87v0hH9gHZjUnEPk1uXsQ+1QqhPsie4Jh8wltsz19P KXsaHc40FSiwg6d4kudl8qlA6bY1Qd/QeE6KCLfjjzsw4gr3H9HrtvD1lrV5 m9F7lAzNqi4STIFL9Mo2/frsAzW4KiTGB/rAa70LLv5dOVBwNMJSxzkcnu7/ 7MPWiPIv1vfirldz4f41y2pKI6KhtxjPga63fSBkplDLpYQk6DXG6Xg9KBzO MTty7B3a1wftNNeqX7SDToUq4e4l5rCyO+B9B8a3dP389JT6+ZNH9vo2nPag ucSh8gqaz77u19xWfH7lbf6K5ANu18mLWP7MVzpEvrBGtiTSB3zmFiT6fLOc Q/TJT+O8gPQHJyoziP6/ZSaJ/qw9LrlovYDdsGQjXq/TvjayXq6+nf0Xf9wB 7JmzfmD7fNCTI/Y5pOImiewJJA68WITtyWUuQ+ypdestX9yJ83DVMa9XTa69 iu+vvX3QjsZ3WdduCU8IgS2DXsbRVfywWygnIRKdL0razQ/XeTyCQTvVM9a/ Wwkti9Qiun/0gau5iV/mv86Dvob8loZHVsDDfFanVN71AdsWfeenK3Lh8+EB 7/nHJEDZXh6vS00oHs47Kpq2KRYuyjBOV+bXBOdva18KQ3FyZ/eFibXLrgPV jkvfFx0zAN84XojqIH2gL1U3Xzylfv7rt0S3rbc3/MZaHCOE5m/y/BxzEI0/ MLwoj+SDuOfLMxWR/OdzdxL5ok+CryJ9wCXTUL9ZSB8TkwlPrE/fHot2pD/I uipO9I+JcCP637r9MRStF7DzHLbbgNZreteErDctY4gP2QfsbNsu+gDZ5xxb EbFP+cDv6gcnzgO+rrrOj8ie1rvriT0lo74Qf15P+TNIb6X8eQ9HPhf2Z493 Cb3ofQGhw5Q/W7SHEn/2evBYDL1fsHRWJXm/R5RPXMH+zPr3myHyB1D/sYv4 Q5bmhAT259XvPGuR/4D95ZzEf5QfujRgf365wCcM+RvgeX6Q+NvdnW539iJ/ flzGU478Gdxbf4f4cyNdP/ei6+cz6fr5ZBX4hf05/ywYRv4MGjx/En9WkKju xf5s4DGG/Rks/KNJ5H9e0SCF/fnOXY73WB+tthlEH0np38Sf5yu/Oof1vzY6 QvT/VE/5M0tzM96/YNM6yp+H9PYSf461OIX3O1BVpvy5o6qb+PPK3nZBbM/p ZpQ/C9LxednT3GoUT0AFHZ8lWgPf4/i844dJLIo/QDaYis9pW46R+FywSnwc xSswOKJK4lXmAnYSn+dIzdmD4hvYF0vF59ccv3E8hO5R2YtQPAQX9niSePhm 9SsSn3tNU/lQ/ARmuUIkfkqeayLxmVV9hzaKz0AtVJjE552HqPr5syn18wa+ FyQ+N6ZFjKL4DJbeekni88P1IyQ+Xyxy48Hyt7YLE/kLqwpIfNZpur8Q66N2 wpfSJzOCxOe3pnxE/4/S/ET/ordbSHw247Un6zXq1ibrzR5dl4Hj81E2Fxyf wY/LVHyeqUjFZy6Fk8SeW55R9uRgZyV4I+TwQ1V0PoI4Gm9oHe5ww3hDqLRw 1HuTJTAqoPDGtW1DDhhvnGLz8EfnL7ilLUnOX13VPQRvVN0SzkbnNdi18jg5 r/Vc9xO88YLtOTc630HejrXkfN+56ADBG+tqeOsQHgCZrq4EDzQehwRv2GWI fEd4A7wKWE7wxgoab0ytnzN44yqFNwCDN44Y6BC8kbr+OpHfJ3SFyG/PTyF4 o1BiPdFH3lKO6CM2/xnBG/n2KVlY/ysPzIj+P48oErzx7mRrAF6vw4rVZL2d ExTecJ5fRezDt5DCG+nP7xC80btefDe2pyGNN1YkZRH8rPdnpj3Ce8CRxnst zkYUfj7xRw3hQ3DnC4UPw60o/HwiyJYT4UlQ7ELhydXFlqUYP18cebQY4U/g at9H8GdTeA3BzwN5K3chvAoapptT+LlsAONbeLa+rDtWNQXMOqJP8C1XpPVV jJ9XGJRrIfwMmqOfEPz8dyVVP38wpX6eeThlDcbPGiye+gg/gyB5Vj+Mn4Wm NWJ8DngnLvRg+Y3ClPzsAx73MX5+KHWU6DNtkNJn0ImT4OdNTZsEsf6dev1E f594W4Kf0/fKzMXrbX1Drde1Q4XgZ45Zn1SxfU73UfZhSeYh+Lmj3v4stidb PGXPmnWaJB90Orn5S3XrNDBJ54NiWSEkH1RSKFVA+Q5YSec794NqSD748c+Q KMqPgAug8qOgd1Q+aGkj3I7yKSAiuoTkU0U33x3G+aCKcc3Q2YiroKX+Bcm/ fs48fxnng3mLeExRvgamhX4n+ZrWFxN2nA86FFjKovwOWN7SIvmgixNVP59N 18830PVz/t4qkg/2Npw7jecPbDIk+WCP144rOB8MqFYh8m29KfnTw4P0cT4Y sGr2MNaHq4PS53rfolScD27w5SL6H1hD6f8tTpzkgy+PR5D19uyg1sv+m8oH l6+vIvYxou3z13WY5IPC+vJfsT1n0Plgk78fqRdVv7WbmFhZp8jk42V7Q0ld qOQb0EB5PThG5/X3xBZ64vrPA15NWelbUuAoXR9IrndOwnWem1yr+Q8fUgPy alSdQS6r4T2u51wViu3WO3sU1PpR9QrrTFL3gEqW4Yfjmk4BqwWBpO7hsHwb P67P6BjcLzrqdg4sNTxK6jMlrFT9PHBK/Xz+N6reYn2bm8wfHqbqLa6UfFBl kETkH6XlP8ii6ifcOrOJPqo3KH2itlF1khsVXnxYf3da/zK6HvLdIIKs9zS9 3mG67vF3tT2xz3HaPllimqS+0VO7Z/K/9tRV/BzWZmtfyMF/QP2uR6AiUw/p uPuX1OXmX2CLtL/xRpGpq5R5qZL6W1N17bI8xT+KfnR95sIoD6mz1d28kFq1 hB+cpOs8apuei+F6mqvcWyhltAbY6lD1ImUu2Qe4bja2YR3P00eKQMKHqjst WBtTjutjWyqO3TSvUgV8sXR9jK6f60ypn/eM+r3AdbB6k7Vk/kJ6/oKmvw9x XUvYQmMBli9CyxfeNEsA1686eUqeYn2saX0ijnsN4jrVwMWQlP/qL/BBZhmu R70Uq17y3/U6/D5L6k4y7xZF/dc++47XblOvf1P01L2GPPeUU3Ye4kle7B09 USQdq+EvLjITGs85TsZztWqmsxxZBp0WXjugtE8Cziwz+YnHdRbnKjn1roWr BxPa2ht3Qt3jJ7xJndY6rE89Ug4OP/oSYlWmAycvLDXE8X/2nU+BxgoSMPVY w8LnpYawooT1KMa94Jxd4nhTsSK77JU250w9GDf58C8eVy+YrYPt6Tilrsj+ ctdgBsJJd43j2ddU28Ezt81OYrxksIy/aW+kCnjoq33/SLUJ/FCpeRT3y0yr 1yp+sJADvSayTct/qUO+CjZuwgORqXxpvkcAXNZZH6HLuxo2ujn143F1qWtf faN/KNroXWtmF5sJhV/7EDtsT/dfpfMxW5H3TdPKpVH1RSe5KHveyuISP3N2 Nkzm+T6E4gOcmbKKjPPe8ir74iwLmWeu+1/SV+KIkNHZbaQFWQ4KjShl6MCO BmiD13s6LWyNw2UjOLxwY8zph6fgN1Mx0x9onNPEZKNEiBkUG1szlCDqBJPC 3Vkq0Lhm57EqLvHjMKkhzsouyRVazz7XkoLGl9tNmy4UqAIzZGdYHPx4Bfaq 6crn4jzOl6q7bptSdz3r/6lyp7EdWNrY7r0rORimSTma5KN429Zy2q39jj2Y 4PbcE11wHWpzvXu1Ds2Xmgh6X1NoDi7/KHWSyTkHuXS35DaicX13VY0x0/0g RdLvfOlqQ7ho9nl9HFev+2/bei1YBnwY+qPx9skGaBjlXY/tIPpssDxj+izQ e1RPwliGHdbt+0r82e6GXu72hnrFrVaeObjOuT+L6q/FjVbNnhm4Fip2nvHD 9SK//ghy3jkP6Zm2XdCHavadHMqeOnDOYMch/Lu8TY+evlGwh8wzP+jzy1c4 H18gVW+y/SqM9t7w2bvzOowcD8r4hM4RVbnewLwJL9gmLrLKrjMYXotbOFsC 2aFYj6+91ckdHh4fYlt/KhIqJERal42hfO1V6PARRztoYCtkb9UVBe+DyY9n 0XjaHqrO+XpKnfNvZ5fo82KEV77tuHG3Kx26xr7Ua+zuA/VnXj0bnh8IEuKL zmi0xUGjaWtf8v3pAx4VbSZKir7ApyfCYjgiEG6OnTH9BNKnMLe2r3+lAxAU u1mQ7XQZXhNfvuUBWldl2ftR6bJDYJal0J6VPEdg/Knvadj/rxcXP/lptRG4 sTft0LZbD8X40yqx3YL12S3K7djB+N2tUrjO+VWJi9h5Uf5BlZvjWpCTc68W rhc93/X6Pt6/jo+WtK1tsYe3NZNrWi6ehFVbW+M+4Pqw0kxxYW1/+LIimfOt qxdMfxhrewzZM00y/kX1mXuQeb4rGNfagvDPhgKe8bIN96Eyi1RP0+N4KJl/ 8kINyo/+zPiiJ7blHnxfpj97Z/cjGNtZPuspss/F8H0rLr/0hzZqG95GJmTB QTnh5VII/8+LoeqcmVPqnBLmgrMcvKLAljM2p0+GP4FLDYaPd1ciP7lTnCe9 IgGkGw5Vny3KhkVBT885vu8DSmEOZlmtsUC8VfPijCcJkO/30v63KC/2sK/r yq8IBIvDG4fQE/IuvTx9D3qP6pJZucMszsDt1vjRByyO8BBv4sV7yA48yZId 1gKHQbtG8MbF4bowzTdhIT4f795an6OdtA7wim16gv12x3HxThK3BfPjfG+e gPdOT3TjelHLZlOuYTS+k33jths5XnDHp4UDpxHOUrt08qgGjksfxrqdIu/D 9s6UbjmOADig65zRhux54Kp4/mhFMmwRqGsPq4+BA1wRvu3f+4Bh/fCDdrs0 yDxfJH16y9bRB7zebjcfUUmC0/2GWK6fyIaJXy10Ehr6wKsS6xz3K1HwtWXf tqK8fJg05/m836/7wCM67+ifUudsXJj/cyw3EmRqeIHz9plwREj33RH0Xka/ vmrw60gHHDYsac+iHsPlc+yMGpH91d5vzOF/ngmO38gW4fmRDtcNFCwwRHmf 8+6gLc+rE4DtTpbdjw7EwGX6qTIFfX1ARSB3H/J7oBiw6TTaB9BIdzbx/5Ns Agf1wy8An1sOv/aMWcK8baYva5B9wi7Jqo/m7gd7vDUPYb/tsjT1wn57780s TukAO9gn/ksT14sGin8M4fPiacTxk+bGd+BBwWifm+m2kFXj6Yx9yG8/NZ9a bL85CabKtprEf/OF0j2HXoYMovO98ndt87MsOGn/8LgkZxScJtNwZrS9D1R5 mX1NqcuCSwW/f5woToDW4oWlth/Q+yp7OHIKpkHmObaOg/cMmv8nIWB1mm8k 1E7k9mrwSYXSUUfH3XrR+VhJ1TmLptQ5l08fH8qIOgs+rOFQ6Nf1goPZxU24 jtQvMy1/75U0kDC+qdE0OA7ycV4OuoTy61PyauvueueBQ9xG15/pJcEh1uGL psj+hmwPneUHs4BH+A290l8xUD2hPEelFZ1rfr2ODxQeAOXbn9b/sgmAob+y VSOGUByu1RNBcR+0eNvgcwD+3fCexP/MlptO3CvNgIO1bBL223Oae+JxHq1j fsLRX/s83Kd5Temda6/i71apJlwv0ufY92O2RQjUWyw1ryBwHZy3dUw8Gb3H Ct5reYoLH8GK1BXDj+Bx2DBn8ONL9N7VHt/ovHsnFwbBT3Equ92h9IT25MtG tE+LtbhWqefARadmVx89FgzvXRYdbW7qA6zPQ/TaRROgb7lIj09dKOzKneGm id6XqIDV18kUO8g8rTcsNn6L9NGm65x2U+qcL98sche08YabRMIO7nh5EkT4 mn7EdraLvXBhDowDJuY3DWNu7IGeGfE5X5F9ou9EdPQdzQPmpZOtQ4d8YDQE sX24zrY0snCzSB4Aq62rX0+/Df9Kn9o+E+2vr7mN67+PpIBvir6We+Z6QU0p vydGKO41Ceeu5ZENBIFHT8oNXbCBH/0/+ckgPxSbN7N6dbUdUHSJ+YbwDixY ak5wTnxcM8E9S2dcxOPAmMY/cxeP7kJy4CW2RVV1XjbAvkflMpbDE59o8mMk BW7On9ALaPEEFgKSf0zQ7y4VnEhSFMmDHrvvaM55EwAULlrmzEF6bvostGjw aB68q7piDHD7gKD8sYxBtC6uc0ry7DAOti6+8LDj6VFQqFv5+DOyg6rnG4/U zddB2uHL0tc7FKDfAhNiN1m6vik7pc4pvXb72usNZ//3ZL91sPw1Gr/47W1W kWgCUJ1bOiByLwwohv1KXo7eo8SxzzsXqOeATzPvz5XoCQb3FPq3l6D3ft+h PCrsTi64uCjt6pc57uDLu/dqlchPzC/VSIKFj8CX6v7mu55HwLeImOZy5Fez t8Y0Ij8EzZfUdWdELQa3WGvlsR+CmaMbkN+CjtlGWV3Ib8OipInfpvyoe4b8 HKaUj8XhetGhpZSfj149sRfjofGcUReMj6azU7hI7rTjTbSPIN9OgS1oH4ER 34dkHz24wOuJ9h08rqBmiPYdUK5MJ/vuQU7CerRP4eLHdz3RPgU/R36Tffri 4K4EtK9h+rXrfWhfA60Sal/veF6+Q63LDn6FK2MGdL3Az9Vh4bq4HpVF1TkN p9Q5a59sXmM1EAmuLrXKhj6pYM3HUnZLFGduW/dMOw3T/vd8WTCyAMcl5QeL vqE4BvRvm3WhOAbYruaSOOatduEVintg61i/GYp7IK7vE4l7/WHJrChOAtPA QRwnQWzwaRInHy0WUkdxFdz/cAPHVbDqTxmJqxEVi+qkAuyAeNwZA1znTFHu I3HYv8/JC8VtmHTw8x5cL6oypuK2mDW/K4rz8HHGsi4U50FhvQmJ8zn3lE9i PNTRvMYY46MlURQuam0/p4bOEbh/+JQKOkdAbXsMOUdY613z0LkDuT9l4XMH mCjkkHNnyCiyDp1TcDI5OwOdU6Dpoy05p3adWjDxoDgS8r1ZJ3LOPhN0b+zt P4TOtQN0nbNiSp2zm2WbfWVwFPia3yydlZcPYqpk+b+hczNYZjc+Z4HL8Y0T 3ieyQcBeW3LOilk64vMYVFlpxeKndGUXOZd1h1+loHMc1H/z7kDnOLj6LJ6c 487aK5rQuQ9auSx60LkP3vzxIOf+tLUbBRBOABcqYT/CCWDRViuCE/SzQ40R rgAHCx2/Yr/9ZEbhiqHR4TGEQ+CuqvK7uF6Ue4zCIXqPnvDaCByGye+gIMIt 4Mk1Crc8yehqQzgHXn1zeifCOeDHhwSCc4LdE4cxHup1zSb4KGTiEsFFldYr rBCOguzTWy0RjgKHrq8iOCp5+TuMu2Clu2UZwl1AQq+V4K6V6wMWVN+IggLD SoFm4U+Axo3dy74g+yexUDzhoSl1zlq9vd9rEH523/XSOiohCyRtj1wujd6L rWrbAYQbwbl7Oyd2dD8CN+62ENz4+njJKMKZQF3wWBvCmeCqgD3BmWtnKj1B eBR09Pvn4ef+dzP2Y1yqW/OBD+FYkDcWyIJwLHjj+5Dg2NKxUohwL5huvb0Y 4V5gFUrh3kg9IS6Ek8GPmpxt2G+9NSicXN/9oQzhapjq934OwtXgE42rE6zZ uhAOh/sO7VyJcDiY4KNw+A+DWuHVZYdgcJyxMMLt4PNpCrcH1PKzDax0gFqt qwIRzgduthTO79nz1RrjodaXO7QwPuJZReEikb8rcB4BD7mLHUZ5BDD0307y iMdfim7mIfys/mOkO6QrHdwZalN/j+xjJU7VOe9PqXO+lswRDVa1A9ZDDREo rwFKUlH69iiv2XuguAvlQWBi/+qedacigVNeHMmDHn9SuIXyJrDjrD8XypvA IdUlJG+a9ImvRHkWWF5SXI7yLMBVHULyrG0fJh6ifAzcamiNx8/r/F0kLxud /ROgPA4M7fzSv9NTB6SOU3lc4Pq48hmBa8Gg+nVL7LerB6i8j//EiIBSQ33R 6uMjJ1GeqMjkid5eKqMor4RdrzNbjGTYQT2dV3IC01MoD4XC5734UB4K8uk8 NKt79XGUt8LHl9cAlLeCU9xU3irxVekTynNhr/nqAyjPBe05VJ4rxOZ9FeMh hZp8go8OS1K4qHBVSTTnUTs4nK9mi/Jo4HxszWmcR3PTPGGWKXVOrwXyZ+OC doEVdRtUUZ4Odl3TUsF5+owmI5zXA+cHQXtRXg9yRM+TvH5xfwiuAwBj0e7K BFEnsEfmKqkDBBn9WeFw2Qjk8145f/rhKbApgKobrHLZpLjbSAtMLNL7oJSh A9TbqDpDp2td8hdnWVBr+5Y8l12l6hKfv/5ttD07G3zeXvYB1znZ6TpGqsxf n9ufHYsCHLw8AWuo4hqah9ncm+Gi8zG7aJfh7sglUfWKTD3ELfPuEr/oH0Ui CxaeYhebCVbQ9ZNPFaYD5nsEYO98NUFd3tVAzZ2qt6S/Xav+wUIOspr/sV7+ Sx3MfUPVZ4AyqedA6SrPY0eqTUDgL6qeI1bB0o3x0PFXVa8xPtq8jMZFNE/4 xpQ6p4bZzRN/m4sVdx80cXHO1AMJ8+JJfYlVRuC+sYIEcDrc/KSs1BCovKPq UWk3SP0K1HxO1rUq0wFGblT9Kuhv4Ean3rVApYA1rL1xJ1hsQtW7nmgNvJk8 vAyUdf8d3b5PAujT9THToOAur+gJxRNdVhriIjOBGV1P+6m93hfbc6iw5vR2 1tAixp48mm/3o3FFUenH/4w/Ftg2srf+jWLJePQ/9bobWhPkb4Vt8uT/M+Pi 9N/VAb3/jEdI3iPy2ayPeP/3PZ4VkSZ8s7k5xpr/ra96nckldVe5KTw0hh/J 8CWZOq0bPY9P05X8O2a+f/pdwkt7TfclGH5a+J8swvvhp/tCDJ+K4f0soHlA DP+H4amw0H1Rhq/iRvMqGJ4Fw68oOUTxAPI1oggvwNKD4gPIvXNYjPGHAD0f 0v3rq5R8MFX+XbovyE73CZn+YOHhSjscj1bS+jsxfDC678J3wY2sl+m/MH2C /Wwr/7HbS62DhP+nl2RM+gYMj3QuzRdc2TpM6txM/TZLXI7w1TrXrCb9HIbX N6dMi/Cr6h2pflowzUPTLnIhfCAWXoo/NZRC9TEF31P8HoX3VD/52i2qjxxQ Qfr3MLmA4qeI76X6+DKtFH9incDWrZhP0TeH4lGk287A/Axgp/mY9P+n031/ tw4iH+xtL2rA8neHU/KDn1L91NkmuUQfgXxKn4x1PaT/10r3A4PoPiDTr5oV EErWy/StJLS61HH/QC30dBW2G9NnWSl6h/QDHGZvdDGS+j+7yTgNE17mLJt5 pA8zh+5H+NM8zlKvHNI3YPicXDQ/crnIhjLcH5tB8yTLoCnh83nR/L6DNK+v 0LCU8LF+V64l/eGCVxQPbUzACven4Ybq16Q/75JM9eUXBRE+BCx/lE34EWm9 FM+HYz3FR6nK+Ub4KWnRFC8l9WMS5seA7ta7ZP7kTmo+mzCRDzh/ZxL5sICS bxbw6Bbu10qLRxN9tuyj+tT7g9pJP/WLzR9HrP9MV0p/gyNUP8w/SImsl+kD vpB7T/o3n9ieEf4y07eazHtN+isRr7bpHe57Vsj0HThLXhK+7F94mvCX9Wje 7BDNr1V8H0n6MAzPVluX4mu6KpYW436j7ReKt9m5d4jwC5Or9cpwv3ecm+JJ lhsO5GM+nJ7tj5O438669gjpUy+f3KmK+VsW/JsI3yFOdDbhCYxocpzAfCOR VQ6EP+Wz+gvhaTD8Hobvw/B8zphHY34SuODt64znuz76SuavKgdYPlipyy2D 5bfPmkHkO5cfIv3+TSZzrLA++wOOEX2efz5N+tPpZ0QJ31P4BtWn/upO9SMt Y7pIf1Wc7qtKxXuQ/h+flH0CtpsC3Uc7qjYzDfd7cgKXO+pytxcyfR+G583w vhm+tyLNCz+w8pwk7msx/OeTtVaEv8txfZD0b4/GUrzZ+NIawu8MT9Uh/fO/ 3UdIn7rTqpnwIw1Y1Qh/IenNKsITWJVTR/h8c63GCX+k7CfFo/O6upjwvRIE v2P+Fzz2jIPwZBi+FMOfYnhTf9SE8XwQcDtDDM83SeUl87Nk2vkw/6PX+WAK li/i4U7kX2F3mIf5Cp4HTK9gfTZHyhJ9CjR+KOP++ljJwlis/9enVJ9d9GEY 6U+7vSkn/OXMD1Rf+Ll9Oelfsr3LI/3VSrqvun63VjHut3kE8Dgrf+8rtKH7 bgw/nuHLMzz5VpqPbtd4KRb3CRleunZZB+Eru1b+xP1qWPOa4i0nF1VMx/za DrFywudd9Yzi8XadvNaI+aDPG3YQPshcIWvC0/hpGs6B+Yuh35oIH4fttDzh ybzfPpPw+d7zX/iM+VA8a/QIT+lFelC6Cr8muHjkxRLMR/s1rkt4YlXHP1hj PpP/a2HCB+z5fIzMd6D5N0EUHwcyPBzJlw5vMV/k1qFVy7E+2d0Ub6Qy1oHw Gwwl4o9j/U//oHgOctdzTHA/ftVCCcIHfxtL9eVfquaT/rGS+uUhbLd1dB95 7X0v0k+9ZvMt7q7Sr0Jxuu/ZlHWf3Cuop+8ZLKDvF8wRpe4PzApgf4z7rsw9 gk8ZLoRf7uo3tATzCyQ+UDzzH5bKhA9dNeOgB+Z32KQGE14Hw99l+LwMj9fJ 104F801/uvwi/CbHoK2E18Q+jRvzyaDwkPp+zJeMc6F4klf3mZxaeswANHK8 V1+37DrIP/6M8Po8PS7cdCsxB7tTNMh8D4vbZP7ljUqEL6Wo+O4Klq8YvYzI Z/g9DN+H4fmUNn7bj/kojW8tif7JIblE/yD5SRnMhwiKkuHD6031pXgU3gta SP9+nvi2+dhu8QZU39/Q6RXpN5dblb2ZPNZbOI/uOzPfE1hE38Owp78nsCW5 idy7aHskOh3zAi7R9y886f5rAf1dAqYPO59+L6+HqP4281506e8S1Jz597sE PDFzCb8/ppPi+894SfH8GZ46w1tn+jgxB14RnnrMsg+imHeTPK+L8NUZvjXD v2b6EdIzKx5jvnVKUaMl5kOVZe4hPCiGN8zwiJm6eqtjOeENB49+U8Q8NfOW 94Sfpk9/90CC/o6BD/0dA+Huh0UuyB/c9im9xfzBL8WDhDfI8DgZXidT5yy1 SVy+HPlJpz7F63zY/InwOc/Q30mYKv8eoPiIwjHbifzZ7yleIqC/n+Azi/p+ gjH9/YRPZZGEV3dQ8RU31p/ft4Loz/DDGL4YUz9Z98aX8MM2smk7Y/tUyqsT +zDfW9itQ31v4Tb9vYWD47aE59Spm0buDZRlUXyni/R3GJ5U//sdhoajHISv UyESaoff7/VtFG/Hmv4+Q8Sif7/PYKm5l/jt/c4+buxvUjT/ZC/93QaBKd9t 0KP92Zi7fafZ8wEFxp8L11wh8XkDx+V+zFu5PyU+c1H3nxSY+Gy704vEZ+ly zkuYTyTeQ8VnFbZKEp+Nty8kfK75n6j4rPIhhNwHaHFJEMd8ujuZNiQecsT7 kvh83bs/BvMZDd+Ikvhp2fMSx1soN/iG8EmHz+0n8dZk+XUSnzlXUnzeG4E7 SHxm+KYM/5ThnTL8SIYvycTnTJEvJD5P8wFrsD7z2c4TfQoSKf7Z2CnCdwPc +XoUz217L4nPwmG/CX9q5x0qPovM+EPis/HiPYPYblvo+CxKx+cVvF/fv7r6 S4GJz6wi1L2p43UVbzAPaPoF6tzcTuON99VCizFvhcEbG7yayf2clrauA5if FVFE4Y1ErlqCNy5e+UP4cSM11L2SkijqPkZBTJ4z5ifynZYk5/uSrjcEb9T+ SknA/FAW3gCCBxh+OcM3Z3jmhmYVBG8oFlH86NeGFC/a+LcAwRuH4AfC5+X+ NJvMN4//QvCGVmLIQyz/0y4KzzxpvUDwxhKR4MtYnyTW9UQfdSEKb0j/EIvB +ht1U3hj2SmKDzfL+xe5n3T8C4U3pp+j8MYRheOEP7WM5k0J7tYifKNFbNf3 8CT0KTC8I+a+WVSNM+FVhdH4eYLGz09uVxIeEIOfk1nDRjB+trpN3X8q+kPh 59uDFH6OXiCYjvmGekuoezoHjGTJfRLNed8J37OAxYTgVc6rWgQ/L5mVtQLz bV2XLCb4tlg8i/D1BbUOncd8Z0Hlab4YD18vKj6ti/BzdmUx4ZsDN1eCn3ce TSP4mefyEOFHf7T5S/Czy6t7+H4I6Fak5HcHUvJVhI8T/GyyfTXRJzic4p1O H9En+Nlt9EAm1j/YmOJJfqf5fPvlJpLxekVlKPxsU2FB8LPS8PZgbLdzNH5O T7UkfKlfy4dUROe3KzD4WZi+h+nWpmuFeWqL6bzmEp0PnjtpJ4R5VUw+yNwf Y+6TMffI5vCeIPng1YrLhL9pco3Kp1ax/byH88Gj1SmEP7vFjbqn82ZnDskH B6sp/rJtO8Vb1mhMWo/zwYIlrY8xf9zyWzvJ736UBDxeg/JBGQnlMMzfP1Bn TPLBl7vJfQlg9iSU8M3nbqJ45tdFh/H9HBDsoErkWyym7q08uNNO8sGPm5ad wPpU81A83r2Cx0k+eOmB1jGsfzTNO22k+ZEcD3OT8XrHaJ7k2Y4dJB/kespC 7Mbw+go9npB8cKFUiyXH5DMFJh+0GPMi9Q3mviNzz5Gfrm8w9yOZPH0g5T6p b9x7NIfwMZl7edWmeqS+scs4g/BhZel7ZGfWniH1jUubrxA+sjB972nTz9R4 XN94+Yvig+90oHjgCweiPuP6xolHSYSPD/QpHn5e601S34gO8CL3IY4so+5B ZMSR+ydASyCTzE+mefuJvUQ+EM0OJfLnnaXkG3ms+IvrG7O4zxF9VvBT+qTV mpL6xqp7e4j+BjSP9zhd34i5MZesl+GdLqHrG2nODx5huzE8yUWivyJwfWPY bun8p1v+z27JmbakLrfGXYvwKJn6kgdTfztidBbzWJn7jC/pe4yb+ike8QBd vyod3074EwWxpoTHLUDztw2EpUn9zdHnLuHR89H8eecdF3E9DdYfVCf3GK7R 93G+rfEm9Tf5VEjukXDuoe6PNCmR+WAPVxaZH0Dfd3Cj5APXeWeI/LW0fMMT VP3t8fznVVgfJ1qfhUeo+ttSQ0D0Z/jPZ+j62+llYWS9DF/3KV1/CwhbNfBf +4h9vrwX1z0NNS4YnHe0V2DqlsceiQ9jPt9Rhe2E38fw+kwHdX2x3VhurCN8 tJs0D20ivlkZ282K33A75k9BFaofVHOrPBvbrT7V+zLm+xzSp/pxITNS+nAd 22BV2TOpADsoaEP1Q5/JSLXXI7t9ily6FfMpDgRQ/ei8DNdgbB8+3vwc3Jdu WEn1o2d22O3C9gmY5u6B+6gSJlT/NCF9Zwi2z+O970jfL4/u940FvCN9qX3i XM9xn4rpT70wpPooZ5r9SV+F6acUrPpC6v7WD6674Lo1UzcOCrr3c6enDlwq 3amK+XdDY1S/Jv2r8mjTxZNQ44DXMdkWe3gltJP0y9SPOC0xR3m4Yv947bUc L7ik9iPpV5pplWz2SLeFqX9rfh00vgO9496w4n7xrXP9M6oC18HVnd+Lx81D 4P6JHkncr3/eEuiK+8G3W1lVcX/4Yz3F/2FPqOPF/UsRpwFu3M8c9KT6mJYl rKTf5qzMSvpvk3TfTZPvIOkPZd+XHsP9IqZPNF23jvQz3Gx8nXF/g+lrTPsW HAZdvaDc52T9+dr+cPoa47O4P9jhv+zhMDvCk5adS7dF3od/G2xacX9W8xtv tfw3X9jWeiKsb1MSFPA5Bu4OonyZ6/ct4eLj8AhH8S3ehY/gPPGUTZifUFMT vBj3WbfxN9fhvutbX4pX9sQ3Xwj3BSUa/UVwn/Aj3R8c3vOO9LEU6/lIX4vp Z12IbrfCfZcok7JluA/D9F+K9fleKdbHwGDbnl2WFclwQjNXreM7zh/PafBy RkGnbta4+8+y4NDmxQvH2vtA0u7cMtfd7pDL6V6y951cGNG7XKYcneOeNC9u 0RRe3IcH/Pdxn5I3MUEW9y3ZK0RJv1K88/VO3Fd7tfWvGe6zBc2l+muq5hpL cB8oy3RjH+4LqdL9oKu13+tZnyZAtvdVbo/qsqDo9325mIfgzvXnfPmxYMjy XIlDXT0HqrWev4D5P7tonpg8zRMzpnliXPP4buK+XUD11t21heZwXtVm0r97 v0f+LO4zcZ++vg/3ncqqqX5Tm/Cmt7PfhsKMM2z61ssT4C4jtWEN9L5saR5U 0xQe1F+VeEvcl9qxN68X96navlP9qUSanyM8hZ9jzl94bkdyMBw9z3Vju7Ed iD61wBT3B0WPiZp7dqXDd9frOOOL/UGkj7075oV+yOaZPBr+BAYV/Plp6BUF FH6+u4N5jKVSC5UD7TPhu3ixnvDcSNAcrBKNeXf6Z/aHJep5wSSeX6sDos6C hhUb63BdomSa488DL0+C2Ks/NPhtvKH/q2DCzwnjrLPf6JMKQvwFvf72R4KJ xOwEzA+JKY+UvZmXD1xWXTh3NzgKeHy4lYz5DBox6kWPErJAcIRaUybS0yBa fRzzMBtGYkSLu6LAqeBlgwdV7YCKxxUp3C9+GnPqofXHK6DH5XlBaNAuMDYe uwv3N3my+K64ZOqBv4UxxXNaihVFOym+9wTNq5mW+y+v5gHv97PKbXFQqHKb fPf8QNB2jLUG97Wf1gkNni7Khp7TOs7PWpEALAxHYjCv4G9T7tLmqMfQd+WC JSc70sFe5RQrzOvYfOwM763gOLipRfiu0JU0MHG3IBrzavg8eSZHb+6ByeK3 7jYXxYE1bn3vMb9r5bC9meeJbFB1rsPhp0oSWGZgcBzzN2qdvss7dz9CduCI 0tlyDywoWO5SjN7XWEqW+LbTkYAts99/7yV3cOfJYQncHzdZ7bnRJ8kV2Mpq WIiIHwcfIvybcT/3hVFo+/NSQ2AyWsBvqiAB1oZS/UepeO5nmIf6fmv919TW WPB14uIg5lEovXmpIPQjHeolrY1ke54Jlr0d4sc8lrSkOcKc+klw2Z+sBhfv PFBVusoX84iSlOpVsw77wK95GktqjuaBp3Eb/mJ+mnyMifmpnHjglTxTePnG +0BV+lz9G4QbC24GPR7oDAaP6zIk5Sa9wDrBtd/EkX9mXnO5ly/qBIABf4tc iBm46KxE+s4W5WvicX80VWiXvkakHHC2p/qkIttHX2QfiIE9ZyL7yqoTgPzl IGnMw+l1Eojt/hUDbUD6IaXBLPB5pbE/5kHZRK+3YZ9xG9pWZs3fKZIHNmjN XYj5crJuT80fdF4Hl9ruyTtsvwq0L+k9wvwB8fUPztk+PAVCBeKGL142AvGd y0m/+5kwazzuy3rGce7AfVonY6o/2y0oUTzdNgAWdHQ4pCo8AMA8BmBeloSF gve1uV7Q01rBbN5oCkj6+SoI8/Emdr78g/vlTz9e18X9836an79o46Ux3N81 TWiqxf1ePbrP22a0Jm38gg187TWkwisbCNg8DxH+XqFxlzru+yYe0PiK+8BM /1fEs430d7XpvjpzntY7B5P7LUs2NQ1wm/5f/9SqiOoTM/1bZr4d3f8VmdL/ jaD7sExfl5GTJBnngc/xCwnlh/4rpz5gObnvwVesTO5/mNB6Tpv7Qe2Dlw1w 5ZY4iNYFD7IVXcLraqbvBYzR9wJ06HsB3fMjdPH9kLdBaTPxfZEZtH1gdwDf jgwdGPL6qBW+92DxhrLnx4Lsa69bPIG6Z3r+/NEUKLFvew3mJdqNST1F7wuU Cpb6ofcFA4wCyfvq35rSg++ZFF1epYHvnZQco97vtmyjaOQPkG2dAKvjZSNY mUX5Q0b2NA/kP/C820oV5D+wx/EA8Z+SvCfnVN8EgA1zVq/YLZIHew47+mHe o4bZLOyfINgi0Bz5J9z9fQfxz9Pf5UuRPwODoOeTyJ/hxkwf4s86YWo9+H6L lDzrQeT/cJEl5f/NcufL0X6BV7jrW9F+gcu+bif7RaMsugrtL+gexyON9hc8 UyBN9tfA0Dx7tB+hgp8n3o+wjN+K7EeZzhc2E9w+4OEzzdVvj+bBV5+t5vxC +9dKecsKtN9Bpt7zd2i/w0wpar9Pv2OyDcUHIP64IxrFBzjxeoDEBx3hOdmY j5VttbAXxRP4MNOVxJOEktZtL0oN4Y+JaQtQ/IFRnlT8SVj2VhfFK/jtaQ2O V3CD600Sr1Qv9Kig+AZdd37F8Q227NMl8e3VZJEyiofwaqx2CIqHUP/VfBIP s+zemaP4CWdeT7dH8ROqbKbiZ/Pk3idmz46CbeG8UR+K4uAq17cNmEc6b8m8 xSg+g3SjdjcUnyFr8GsSn7fpXRFG8Rw4nty9CMVzaBmVROK52C/eXhT/QeLa vzYo/sOTe7ljcfwXLC0/is4L0F4ysQGdF5DVk4+cF7qzetvQuQNH/JtlJpuK FaVqqXOncltuKTqnIM+NF178gSrQozhhKz6nWpdZtcOuKJjz5ffOVY528KZE 52N8v4OzP4kHnYPw8Jawe8de+sOAvz1/JdE5+PLGOd2QvHzo4LXYVvNKFGwQ qErC/Hn+1/bRu31SoUzQz0PrfSPhSYfsGHd0zi6e7tCw4qMCFKmVv5q4+TqY bxZIzmWOjZWcKXpeAIhdF1vaZQdL9wjcwTzPugq2ydv2meDk/O7PqsWRkH/v 7ELMSzwDo9UOhz8Bqdxry9JvRMHOy9r7MY/ukMTJdx5d6SBkrd2McKRn7vj+ i5j39TJq+iGEQ4CN1n4L9qN2MP7VC8JTEqf5xmAK3zifrv9zPZl9+7/1f8E7 VB/BwPffPoI5Xf8fPPVv/Z+5p8Hc22Dq/My9grQp9XyGB89W+W/d/jBdn89t +rd+voOuq9dPqaur0vXze1Pq5wy/kOEbMnXyTLoenqv7bz3cjq57753y/WFz ur7tPuX7w9/NTyXje2hB1d+68b00tVIKH3pdrCn0vxcGYgqb5+9engDcl4mJ Y57zrO2ibfh+Gs/u2J34vtqrcgqXepuNZON7VuKu7AoIxwLvUxSOzeL5uNmv JxiYrgrV2ayeAyY18p8+Q3j4xvqfGD+DRE5rV4SfwQcXHYKfuTMcyD230LsV Ffje23v6vpv0cX0nfF9rbfr6A/j+1iZWCp8vltr9Et8v0lkFBRCeB6WuFJ5n 932VtpzTHewM/6DvcycX7DZvdcC86/kqFeoojwA7jh6JRHkEEPoiRfIIEf7t FSjvACssdm1FeQeAgyUk72j4Y0Pu173l8yP37Zh7drNER8k9scJVivL43pgB ndfceuy3G99resB2ZAzfc0qm7zdN+gXL4Xs4f1hTk/G9nLJSKm/qp3mSHTRP cj7NkzR/fveij9cRsHpL2BDKv4D8hQtrK1A8r9OPa0H5GtizuNgD5Wvgt6Yt ydeWiEfEovwO7N16by7K78AeyYskv7sgV+CP8kHwW3ynKsoHQV+FKckH+VJH yP3AxgrqviCTP3KVdojje24TkKcC33tj7rtVx7aTe1kuuZHknhZzP8v93PE1 +B5RC2dhM7lXdIPKZy+uDLqJ771Y28kK4XswseAEyX+PPuj3NYlaDKq2vEtA +TLYpFOigPPlk87PcX4NgteONqD8GkQr1pP8eq7uxmUoHwf1qVVpKB8H0Vc+ kXz86kbOXpS/g1cu67aj/B0U/6HydwOzpEbMy2yQclmOeZpnZn0k+b7JliFy T2/+TUDu7TF1A9+mTZK47nR+zI7cM2PulxUJVJB7UKx7Ih/je1E76ftQF904 DXH9xPPztD34Ho+CFVXHGGkndQ+4OMvOFt87kdKn6h6X0leMtLr2KnKVpP26 qX0ezD6wmtRJpm9wHMF5l6JlgjfmmysNUnWV1iJShwEZGzZtwfxok2tUHWbb UJQMrp9Y/N0zG/N5H2hSdZvpB0+dxPUTW3Z7wj9dQ/NO9S1eNOL6UmBX8AfM l2R4krU0T69tCk/v0tUfhmH7J4tKTlry7LSbCV+sOUjGP+gEpe06JwyN6ydr vN5IwnAbL7If86KCta2d5KAGW47H+FZVuHGuiyEeD20+c99ERRm6aO+LuaF1 GPZcc7uA7f+DRdrklMRuuCXx84DgOkvoFvg+/hca35DAEyPZsgM6xPFM1wRn YfyRFJeveP4RiheXN4UXF2Agmzz0fDfYtYDllJuuBbwYp77oD8aHv2OeNBXt AJfEHh7dLmwIHQbqZfG5qQ+rhrKvrgfcHOczKviU4WlhPXes53jIsGnOsiWg 01F38BG3GJQYufuL1FuunU4J+jyquOVUUeDr4mmwetyd2KGUttubKXa7YyFU /WVMC16e8Xy+p8oB+MLZThn/bnP+qrgsPVOYZKbEf+aLDcxWb7iP3+8RHd8d gk9sYbSR39+Tr1yh3hoDzUg0fjb32+PjJmfhkmsayhvSbsCehzaC48j/g2vr bCcGrWDh+hmhj90CYdyvWWwr0bhmM8Vzk53CczNfN/OL54nTIMX13o6lWy5B 78+Wj4vxebfWQ/jMx2Og84iK7Oo2c3hkvFtoEPv5z+2qOuNq4GspNOZs1YDO 11uuYr96dPhj3eW34mCjeOpf9IQCxU++k7gnU2GA7ALiWUrakJ2K3tD2eSG8 8fei2muwpeJqhNNxX1gk8TgKIj05X79V3rXEHy4YHnvrcjIcupqp9b0dwzj5 bBHHqluQVyM9ytMlDmolzR7pQ/jH7qzu2xYxTxghUMI7kJsCDS0DOBMQzoyT ofhmr6bwzQYmah+vOu4Cem9zGisru8P1O+4lnkD6uJ1+UR5hawmmKRzIRk9o ucVSrBufa+pKcmidIIgt0wKtG573odYbKLfkPvIDEOccfhv5BTSk/WGGU/0a nq0xUKzqxjwO/UTYJNRSfQTFYQE15x+PuqLhlSqXxAy1TNh5RnGGcCfKWzk2 f1jyMhi2OKQvUZqfC20XfrW4hM6db9r//zwuX7pOJTSlTvWYL2ZARdkd+NW9 fojWB0VqrpJ1LebwP4neHwh0GdVG7xNyPafe46bc8zbIv8GpwQG2x1fXw0+i lJ8/Lj9iVR6fDAffq/50lcyGcXaeR+YhfLvASHqd+r4oePVgfWbkklzIsXTp Kgs0zjJJ8aDOTOFBqdP1qx1T6lcrNTl/L9tyCTxoT9vgdeI0dL1vSvyt/dnP xWgfgtA2wxK0L6HjBLUfv4u+V3PMDoOZKzZyJpglwsH5zisWIZwzSPOCLk/h Bdn/P+73Ffsny6P9DyR4TRNRPID7K6k4IPX/4L38v+6j2Qo9St3FHQjlIq1P q4jZAqNLtSIbkN+u8Wpf+uZEChS0V2x663cd/N30LbES+eHWfO/n6htz4UWR I4fr5ocCDllbw0iE57WDd5o5PMqFswxnPvoNokB8ruHTxHoUf7zrBJe+T4Td tipBoitDgI+9e9ZZtF7r7mnHo9KOw7LxXJP+ehOQqeR4BX//uYnmY7ybwseQ zMzZu9wsEZgeecTRvCgcdJVJPZyB5Kw3dDvivCQXvJxUszxvFgXKdyx8cBi9 R68Dftyq83OB4UzZOOviYHB/Rn7ZZeSH5Z3isevzUsDhn6/bork8gdnh2J94 fxlLfu4qcgsEuyWcDltkWQEO1QEFHGfeHh0f1QBnwYklpQ2dEzvAQQVrZxyf R/4f98u2X1BwtgiPhV3bZx2WDQsAv878uTltGM3f227w+3gmDE/N3LugKRYk DRZuTOnoA0sjclPVtXOg1mcx0z/30oD7jv7L21A+Yh++aGG0YDp8snXid6Rg OviqvXudLvLDN+EXr239EwzvvbMwm2xIBJ9NCu5fQnb4uYLiLXBN4S18exlR 5yaZDbqX6RXnxyeDFjFTC+z/k03ZKW/VMoHmcg3F2q5owLZ78z0htH+t1Pi6 ulzigEWQ/W2w6hYYePQxFccljrul5ippN8DABtkKC5OzQLhk12Icnxc+NuBc ss4SzPj/Cjn3d6qzPY4fuVWY2uginSKXilHoQp3J2uyGKHKZUvZTUYhoRgyZ agZdtsykkMvkUrsrmYRSEbU85qKJGteIDtJITngSD5HL+XzW9+sHPXXOH+Bh r/VZ78/rtZb90ZfegP5Geg9yfU14yknt1ZwMqn/2K6MTTy+Q6GCJgRjWOera 1MI4l1zqXz3SFuuSS274hDjsAu5NWtk4YHg2m/4zUzxm7nyH/CXYcxjXofXO xQutIilVS9Po88zJJ7cdQ4YzoK5G/T/+/wOqaxJnBLpmEtF1rftfrb5IbtFd TphXNpfPmzT7phJB1XSjwLkxZElnYA3m8EtvZ8uA8gjy0DNXX6swgCQunsn6 0eOhJxLo38SlJ6kY+jkZ/pHr4+IHiWPweWh8m41Tz5wMktYzXQc/l2p6c4Nu 4yXqEd38Ts7jJinuEsnh/qpHW/0unZ9MfVvXKG1akU9kdldJU+G8LCzk3uXz PniXrx9sz4t1P0Hcbmp9s7jqGBE9rT6LfeSN8wqXoPZvyBHJzJFbmz1JuFkN 66eNtmetgD9Ii3/9OuAR4j2d45CTirJrvkiJo1ML7MODUy+RW6P1x7AOC+6f C2pL+5HOXNt5s98ri+zTPZT7EO/TSj7+fh07Q0UZ+joxjv67HPo80Qnn+ntq XfC3wENQ7z4JwEfkHc9FuZ7yAwKdAKpCHKvXTUsgDrJlizFPvv3Eu639kfZy q0A5crjqkS7wl0UZz12fepfM1hQyPmvOkzBeG+c05X0bdW0hv7Y2xb2G30tN zqxlOfape7B7pkNVyHNVcX45yHcp/N+feO2wIXLMs5HkF8g1uqHc51XcnJo6 AjmY2jPvlwHIxVCB11HMQ19hIq4zGcvYGQ/rTB/0l7F1XrA+Jga5MD00XIyc eFWZ25cpHtlHYB+pzhlTldvAR13D1WwfX9S118C+09J2yUHYd/rsp0q278pN DWY9kLNXrtRpu0Luhg3XLsO83Wv3GOuNxPqOycp73KQvOxexervc5/wez9v+ DUbuUJ90iflkVp+fiQ1bkUc1uh1KkU+PhnD1HB3UIob6p3471hhC/VO6bAar /wNfDG6A80LbXPWWwnmh0Yn+7LzM2ndIG84X/XWbNYXzRVdZbGXna3eQSqyK UEqG9lsGeUMf+OVZXSfm/2js2Hs416RGx1hmFeRcboI7O9fCmIJ8yAHyR1/U K8gBavsqmOVAcrlEHnKDBIf3GuM5ky88yXJjisLJ7ZAzdFplay5ydI45lzMk TzcBcoleiVmLuUSzpopYLq1qsB+EHKNRT7fHQY7Ryw61LMdKV2vfgtyj39t5 rYLco7ctFrPci1U6hzlJTZ58Vwg5SfUifVhOFsfIulXq/kze7nU16K/LpOty E/7G/hXhcn0u5DOpdLnUBflMHaw3snweGVHCPCdxR1O3Q57TP+kAy3MnhX5H yH9y5cFxa8h/Kj1dw/Jf4+B3e6BfkPqLrzZDv6B/dsvGYP2oBC81Qx/oXBla gX5g/Owa84KGH/paoE9RgcemUoU+P7o+LEUB+1Tbhs3ppgVZ1PZwhI3iokia bHn9UQasW8lj3UnWwGF+mrVvNIDLpC8uuyGPqQs6NCOBew6fl403BA5qtHKM QP7pFmlLlgOXNI+M+AqAU1rWRKYgn+zwv/d9N/RpG/t7Mti3NaUHWb/WkL8R olufSToqNzX+BH0p1NE1CPuRzh7j1hDI6yVXenXLIL9ro+sqMLe/DnteYAc5 aKQ3UHQEcjF4sv4fmIeCsWvCvyCPppYcbyiCfHob1V6HudQwe38C8Akx0lBa Nw1y5drIFoPl/+N79xv5+aKOHhPni4r4+aLveybOFxXy80VNhRPnix7jOXWc W7eNf++A58Kx0YnzRZP5+aJffmK+aHfLxPmi7fwc0X8ocHNEzfk5ohn8HNEV D7g5oqUfzBHV8ps4R7SbnyPqGPHxOaKzp0+cI5rDzxEda+LmiIb8nzmiEUn7 otAzbVceuoze6R/DceZO40dOFnNSSVaa3c/xwGVyZl3LkMdOu5fsRf8sN1Iv Yj7azXFv6PEDC+aDj8UVDSwETiYdyhwnG1iEwM9Lybvh/rxE4LgtbRXrkd8W O/zmD9xOqhNfvgFuJzaNUYzbz8u45KHHVomC3qHXbuF9ViV3NAa9Ls9A0Rw9 T5zNeUHC5ylTbMCLIi0aT6AndbpwHjFisUgmELgwftvgSivgxK4NxdXIh1al tV3gNURL8J8L4DWkaYkT85o8E8Hn4EEkr05bHjyIPFz5inmQkas/8+fE1R7e 6NOLeG+S7nrpgz5p4uTP/FKb98rXxq6d6GMtm2edRj/T472sQkOrCj0nW8nL DjyOTCrkPK6Xvx9r++B+bEv/7h0HgF8XesuI3uZnEWuJvUkmcsipH4rBK4m0 yzEavJKETJ7BvLKvTN8SPJTIpFcVgIcS1zYH5qE+Q3c6wFtJStbuCPBWIlyb z7x1aHka8/8wMXcfMH4PcNoyk/nwCbV65sfjXmz57wXMJ1tF+43RL6t4r7ya If4Xeppnkedk9Lav1V+zfRm+u7MXPJ3eTGpXB08nAQf9WD0UjJZtcgf+Ntqk mQ6+T2pNxQTzTUbbOd8duHP+k+JZy4FD1R0D2f1AX6CqUBO4rddvV6svcNy2 uVtZ/7pnIXcmDzjJU6OsLQC4accx7v7BxNC6ADkmR+zUKwGuuSrh+vvxz7yb 0Of3JQm2ot+Pe/2zEvV49OG3cvFS9GM3fn81TrlNRc+cfdJuL3pnP++bKbKX StD31CpylND/wmSesPrXjGb3NnTefbN56G3nnnPnyHzS84voFap3z/yOnnGX cn4xpjjohTydaBl6ThP4+mk91+98m91TkEf1VLbaIJ+GJ3N93MVxyAL5z21Z hxny4BjPgWWPD8Qjn8kUajBeG+Q557daVR3kLTW1gEfIX+PcFca/Vy794L3y v+nVPxo= "]], {}}, { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic, Automatic}, FaceGrids -> None, DisplayFunction -> Identity, Axes -> True, AxesLabel -> {None, None, None}, AxesOrigin -> {Automatic, Automatic, Automatic}, BoxRatios -> {1, 1, 0.4}, DisplayFunction :> Identity, FaceGridsStyle -> Automatic, Lighting -> "Neutral", Method -> {"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotLabel -> FormBox["\"t=8\"", TraditionalForm], PlotRange -> {All, All, All}, PlotRangePadding -> {Automatic, Automatic, Automatic}, Ticks -> {Automatic, Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{ FormBox[ StyleBox[ StyleBox[ PaneBox[ GraphicsBox[{ RasterBox[CompressedData[" 1:eJwVl3dczf8Xx9P4ymgoaZOipRBSUl4pDUkolTSUikgoUkRSKGWWaBIyUkQa ym1SCnVn6zbvvp8SSoiS3/39cR6P97/nvF7v8zrPxXuPuAZLiImJtYhqhqj+ /x51JFnmLuvH2uKhogVdb8D5d/XJ9r5ByEvPCx+m9cHcXXvo1vAb+LKitu2U YGH5++CH6071wWLSS0/53xt0Nvj/9DRgYevFqu7ExX2wvHcj6LYCCa75m3O9 t7FwyE5OtqO5FxscWu4p65Lw6cKqTXsiWUiRDLJZcrQX1iNiA7fXkWC/X314 bzYLBW9fn4hQ7oVNmrmGylYS6hwlU/fVs9AcL1NYV9ODTeuOemX4k2BhOGJ+ UMCCYOPeAdl9PbAfeHxL5TgJpXM6BsJk2PhvRoWir0wPHC8M0DMSSVgxUnMx fDUbS+rmOBaWMuG0THmeajYJBW2PjSO92LA963/6tzcTzlQXl8znJOi8uM6I PsvG3g1lLxwkmHCJupii2kBC7o2TMacfshH3dxYv/Wk3tmvWNGe2k6B8bK92 3Ec27pL8VLk7uuH69oeUGkFC6s4tLQmjbNTEvNq66ncXdh4wts2aImHu2jVH E5U56LWQjo/L64KHXHCcmnw1LiprKqdYcTD526e8zaELu8pyqrN0qiH2W6rm aiAHapUvhzS+dmK3N+OPmlk1TjG/BKVe4mBd9H+LQm91wmfGXPNsp2qMv+mc c6uYA08zb7dKq07seWwbqe5XjSO5dSWZ7Ryc+FmcOJPXAf+tMSXZ4dUgYgu8 cic5SC+TJLlf7kDg95Kv6heqEeifKnZvMRelx72+PVjdgeDMIaOcjGr0bYx5 nO/ABW318yVjzHbsh/ZBjaJqeOoEuTwJ42J0TNzLOr4dB3hej3Nqq0GT3Pqj MI0L+RLPK1cN2hGacoOrQa+GM980p7iSi+XhRfW9FAbCTFoW5/Kr0fR+oe2r AS5cVs74aRjNwJFOsT2af6phXTBzqFyKh0Nf3Q1PLmIg/Ix5Tq5MDaqSv12v WsbDie3z9ep76EjrW2muf7wG2+sXXXVx4SEi6pP+3io6nNcPhzzbW4tIj3QV m1Aewu6cN5TIpCP+E805U78O2cOzH5gm8RDSaGmUH0WH3+QKXs/dOtTFxRkb POQh6PO4sZ0HHesNr5xZqFwPvtLPCo0GHvYoPlvBX0OHsteQUsDVeswtDLWR H+DB2yLYJFGRju+JDs8fSDXAxJr1SWKKB48AzdX6YzRQyvPt+acb4Nnu4flL hQ/XpPY1LRQaingzBvTHG3D64CfWkCkfW4uvrD1YTEPS/D1RoaFvcf/fxkP9 rnxs7rAzn3OVhiBbktxz9ls036z4ST3Ch93fv+uKDtFgHaH65JvXO4wYGJ9r vMyH9ZLy9Vu30KBx74T1auo7KNTen1NZwIfllsNWXwxo+E2md0U6NsJ8p8qt oiY+zCJ0cU2ahvbpleGvaxvhR1zRyuPwsSqz33qlgIqXxldnTa5tQkKsRGGa mADL627ZUBupuOozfM/qeRMKFE+aJmoKYChw2RSRT8XBFEeLuKXv0fbkS+0p CwGWys60V0ygwr7qIa0h5z3GrYKcDnsKoGVa61AaQIU2IR4qNb8ZavRuRsBx ATR8oja7W1PxT9lfwjGlGQjZtsf9hgAqCSu2/FxIRY99dXayeAuC/74jHJ8L oPhU4Hz7LwWvI9XWtJ5sQXKqxXHLjwLIUu+6mPdScDM/6pPcaAte6L2YXiEU YPaE5/buKgqO0hlBriEf0E5aeklHSgipRfKupzIpcBZf9ffmwAdM7shWVNYW YoZ9s5t6NAX6JtfSOz0+Qksgf2c2hPh7KM6d5EGBpP9nY7W2j7A/fVF/2luI iTRzT19TCgavbm7ysfuE0HlTJaPRQoxXfds1rUgBqfqR313SJ9x4FG7FSxfC Usvsns4sCj40KDw5sKUVBZOrnUmPhJi0CbA/IUXBhfg3069YrdAOSFKseCVE VXDKcPMMCqxtgtyno9qQ09TLfFknxKh86GKzKTL+zJApcpQlQ8nI5H5RqxCH PWpDe8fJKKsvE0/LJ+PajQsHHjOFGM5WLD83QsZr6+Kiw5oUSP/qXnlfIEQI a7+YHp+M9DyJrrQQCuJ9lk/kjAvB0yU5feonI0Jsl0TlKwom6+Nrb88gEHhI Pj28k4zt/kXL+6cpiNTrvJgqS2DwZdDAAgoZxnViuyWcqPhyeZnLFXUCvr9e G5CayZit5X5BP52KkLGzSkn6BJiWMscD6skQni14sXWQCrYnozfelMCu+ICa /6rIaBz42xOxjAbvav38MzYE2t+XSReVkHEfrjMzToj8q30mNHobAVeZ2W47 CsmIu/toVXU9DS5J1FXHfAiQXf1yfz4gw/ffH1/2XDqaR5b+CTtAwDmjRJCd Q4bFnm2XZu6iY6PbqfqQEwQ+9P23amM6Gcq1D0qNHtDx5nVbUmACAQcd79P8 K2SML5wY2PGFjjULdbb7XSfwLqS4KeUiGbRY5zlR6xh4nhCl7JVLYONziXkm Z8ko7s9bm3OeAT3iY7/bUwK13z29O6LIuLzhh6htBu65aD1yqSBgua7oYcxR Mg7c2XyFr9YOtdLjYZvfEaiMFfumdYAM++nc13P2teOmasuaTVQCa9/ttGgK IEPHb4yz8mU7ZM5qTm3oJ/BqVsH50N1kiNXYy3lMtSORG/523TABk21/2+Td yOjXzLaIceiAmFNT8poJAs9v7lAt30LGmzNfg/NSO3CqWM11hdQQljEfBnpv IiOjz/ZGY18Hvs8/omqoMIS4Z0f2+m4kw3NdRdEi/U78bqpx6tIYgk3Ssae1 XmRoqyUEnQ3rRNHLjEwV1SFIBkaNLY4gY+SPi8ZAiSivciKEu5SG0GQVY3E+ WeTDHjXGholOKCQ6m2XOG0KSytl4/n0yEkj8lDtWXWgM173YLTMEp+/xHxzf kOGSW2I7Hd+FaB+xdtXZQ5jbdlGhkE6GamzspG9zF4wcmDq7/xsS7aHk3TKf yeD6Ob2qlunGgElpRJb4EJo3OlDNxCkoxoJQTbdupGpcrWdOEzBYsflHiCwF p7TY2mcyumE3M0RefZJAssYW1Sw1CuxmPGf29nVjYnTjHu9fBIZnbbX6qEuB PPtkqqUOE4W96s+zv4t89cslYGoVBT0Ndk45IUz4vf8x1fNVNGfu9gvGoODR g3niU8+YmFdC3qLxmYAczbXAbwsF4ef7Kr2/M/EupyDLR0jgaO3O1mueFFgG F4S/Me9BVGICkcMlQC3yGK0LpGCmfaSBemwPDCN8zfsGCazK2qU0doQCmu5G 1qm3PejzMUvU7COQlrh7nc5pCnJnymQypXtx3WFeh283gfHjPr47kygIEXZt t3Dphe2q4SV32gm47/U7d+EmBatb8qWz0nrxU6PxWL/Ib+Xb/B+W51EwXXC0 7ndXLwpm3m1Y2EZA2Wpvi6CIgpZky2ivhX3wGYuet+cDgWjDoBGVSgrSQqVX Vgb2Qa7P1f9uE4Fu5X3znBop8HNmCFQK+tDw3qh4oIGAhVSIaQyVAgPjvLvR X/oQWfLf9KJaAtljB7yK+igYlznk2bW6H/q5g87+bwhMDYSe6SMoqP1iJmd+ sh+9iVXZeaJ/5Nsadk/2JwXJZIn3t2v6cS3i5tDgKwI1VUcaIU6F+wty7C+J Adj4Hl63+AUBa/btpwmKVKicV514u3EAvpryWh4PCRTp84UXDagYk39HOhk9 ALUQ3SPf00T9HlmjlwwqPuYePreieABdJZY11+MJxJfFB19xp+Khoao9jzeA 9L+uMsvDCXyZpDy4HkpFbU/Aha2yg3BzPODzcQ8BL5tF7LRzVBhpV+x/YiC6 y9POFoa4EGhMCtO6fZuKzJC5ThJ2g2jrS/8jZUVgJfmNX9YzKqSKA4z8/AeR ol+0+cEyAjlKs3Nz31IR8aNctjJmEJuPNWRYqxGY6bOrJ6+bioH1c0cVbw9i Zk2XoE+aQMT9R6r5X6lwjg+gHy4ZxDvpr2tjfgnRLxz3fCxFQ2VzeVlL6yDi 3aQuqvCF2LzC9tZTdRqWys3NWEIMAnfU28sYQpRG3mA8M6Eh1T3g1FlJFv4K TZa4vRVCizSg8NKBhn/Z5T7MRSxUrXY89u2lECniy3eU+tJwiD0HputZiI71 a7iSJ8Qvx9PXKo7R0KUfsPi6BwtrW47PW3ZNiL3XPrRWXaLB7ki5xHA4C98V U/ybzwjR1q4yt+YuDSVlc/h2V1h46XevOPiQEOs09jvVl9GwaMq/Oe8JC4cL KqbFRbmcv7cs6d1HGi7blD+dfMuC0Xjr1rzNQsgXSLx/z6JhImnOFY8BFogN 3BwrcyFivu6Q+viLhmCy/5GXf1h4fOnPMFNXCL5pnm2bDB00pfIdcxewEcSQ Xx+tJITr6S/nqDp0wGfOmv0mbGgv0ktWkhSiusGyjrGOjsL7/gsanNkYPGDV XTImgMGslOnObXSoEGUTGiFs5Ja66W9nCXBzW7dlTzAdF1bM6YlKYMP734Go EbIAYrf0Yvpj6BiL9K+m3WFDxSmuKblGgNDeyErWDdEdSyq7a1zFRsfNW0r6 zwQIkNNNNS2mw2r/4KuDbWxwrdz2yd8UoH5ZWFBgKx2nZxm9prPYqNcdlVE8 JYC2Y+naG8N0VBVGkSx/sHFH7lqZkr8A8UGT0rWzGPi99W3dQ2kOTk0Y+arY C8CJs+n5rMeA2TfZRlkNEYewPkiqGwmwKffSMzV7Bk6k7m6JWsHB6g8hRZoK AuRXUs46BjFQuuZR66ANB/Kv/tupNcGHVIey64l4BsY6RqmbPTj4nJ0/qd3P x74xvyX5eQyYnLTqKDnAQct5mwdL3/HRJPvoJ7WGgaPql5jqZzh4FDbopP+U D71lI83/ekW5W83oP3+dg3iP2DHD63wkOqzJNp5k4PMeLc7IAw72QCPL+AQf gsCYMG/VdhiKHxJ4VHBgqV+1caUPH45xDbhkJuKa/Irh2g8cqM7bRayy4eNJ ziyFCvd2PLaX+Kbfz8GP3z+um+rzMatyO5d7rB18ocv4jVEOaOw0c3NZPg62 3y5XSG3HkpSsiT+SXDz/aDJoMc7Dh9H+JOsX7Qg05k8FqnCRUkpOtGLysExW 1/twWzvukU1mtC7jIiQ3bIV1HQ8phmHGOZ/bMRh+RmotuNh0cU6nzSMePtuX /muZ3YGF81tm3XXlYvGRgli7yzw4B05Sf+l3wLd8vqz0Pi7+ejroOkbw8Oys Tf5SUd5n7/JXCD/JBdOa1+q0iwfZnEsn3II7wPxTuIB5mYtyg4TIrRt4OPya 4nguoQMqub/UbPO4SFNYrLl9CQ9khrJ68b0OeMJ2UdErLo5O1rxznc3DylG/ kd7aDqSzruoovefCmetzyP0bF9dlHtXO7u8AI4GpF8vkwqD1j+KuDhE/Gozc MJ/qgIKurpFghAup8ow3u0lcZAUZxj7S6MT6HesdY/5x0ayXkH72HhdPGQ8X S9p2IlIyIcJiLg/WsWbu3ue5qNq0uDHgQCdeVHzI+a3CQyVjeL7Zfi5aSnNC aq91YuigwvvXS3kwWZbHUHDionuJylzN8k4sWbh7NGoVD0/P7bz5xYgL4mZa 8aneTvhR76mbgQftLumdH+S4+C0p59Yl3oWM84Tdzy08ZC2vVnw0xsGsyOSf pgZdoJmZHC0TzVHxQjj9nIi7VXlSWWnbuiAzHJ11PFikX8/SNN/XHBi4n7Ma jeyCw526d6tFekiuYrquyxZxfePUoEtOF87tkP46FsvD6aSrCkqxHGw2jT5f 1NCFN5LbVUtSePjRb0P75s+B18PverOJLvyouG0bniHiW9NfNz7ZcnBA6cjH /XLdWBE6ELZSxLH8lMIdT3Q5iL4wdLjRtBsHF+plfH3Jgx97z7zzszhI+hGs oOPTjXzq4YbnNTx0ms+n7vnMRkYwqywuvhv958s/h33kYdu15uvryWw8affx 6n/SDRXz6QXGXTw0805vVy5h47Vd19R6cjdch+02fuaKdLE0kf9+k43mMre8 zB/duHznSmjhKA+vU3nktig2upaSbX+pM/F+R3v6wWmRLkTmtae72RCmOwl2 2jAxQ0qzzmAOHwVw2XbRio0JqabkEtH9tP510JBQmQ/tW+Jye7XY+B84ZIUY "], {{ Rational[-15, 2], -75}, { Rational[15, 2], 75}}], {Antialiasing -> False, AbsoluteThickness[0.1], Directive[ Opacity[0.3], GrayLevel[0]], LineBox[ NCache[{{ Rational[15, 2], -75}, { Rational[-15, 2], -75}, { Rational[-15, 2], 75}, { Rational[15, 2], 75}, { Rational[15, 2], -75}}, {{ 7.5, -75}, {-7.5, -75}, {-7.5, 75}, {7.5, 75}, { 7.5, -75}}]]}, { CapForm[None], {}}, StyleBox[{Antialiasing -> False, StyleBox[ LineBox[{{7.5, -75.}, {7.5, 75.}}], { Directive[ AbsoluteThickness[0.2], Opacity[0.3], GrayLevel[0]]}, StripOnInput -> False], StyleBox[ StyleBox[{{ StyleBox[ LineBox[{{{7.5, -75.}, Offset[{4., 0}, {7.5, -75.}]}, {{7.5, -39.45497630331753}, Offset[{4., 0}, {7.5, -39.45497630331753}]}, {{ 7.5, -3.9099526066350676`}, Offset[{4., 0}, {7.5, -3.9099526066350676`}]}, {{7.5, 31.635071090047397`}, Offset[{4., 0}, {7.5, 31.635071090047397`}]}, {{7.5, 67.18009478672987}, Offset[{4., 0}, {7.5, 67.18009478672987}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]]}, StripOnInput -> False], StyleBox[ LineBox[{{{7.5, -67.8909952606635}, Offset[{2.5, 0.}, {7.5, -67.8909952606635}]}, {{ 7.5, -60.78199052132701}, Offset[{2.5, 0.}, {7.5, -60.78199052132701}]}, {{ 7.5, -53.67298578199052}, Offset[{2.5, 0.}, {7.5, -53.67298578199052}]}, {{ 7.5, -46.56398104265403}, Offset[{2.5, 0.}, {7.5, -46.56398104265403}]}, {{ 7.5, -32.34597156398104}, Offset[{2.5, 0.}, {7.5, -32.34597156398104}]}, {{ 7.5, -25.23696682464454}, Offset[{2.5, 0.}, {7.5, -25.23696682464454}]}, {{ 7.5, -18.127962085308052`}, Offset[{2.5, 0.}, {7.5, -18.127962085308052`}]}, {{ 7.5, -11.018957345971561`}, Offset[{2.5, 0.}, {7.5, -11.018957345971561`}]}, {{7.5, 3.1990521327014254`}, Offset[{2.5, 0.}, {7.5, 3.1990521327014254`}]}, {{7.5, 10.308056872037918`}, Offset[{2.5, 0.}, {7.5, 10.308056872037918`}]}, {{7.5, 17.41706161137441}, Offset[{2.5, 0.}, {7.5, 17.41706161137441}]}, {{7.5, 24.52606635071092}, Offset[{2.5, 0.}, {7.5, 24.52606635071092}]}, {{7.5, 38.74407582938389}, Offset[{2.5, 0.}, {7.5, 38.74407582938389}]}, {{7.5, 45.8530805687204}, Offset[{2.5, 0.}, {7.5, 45.8530805687204}]}, {{7.5, 52.96208530805688}, Offset[{2.5, 0.}, {7.5, 52.96208530805688}]}, {{7.5, 60.07109004739337}, Offset[{2.5, 0.}, {7.5, 60.07109004739337}]}, {{7.5, 74.28909952606635}, Offset[{2.5, 0.}, {7.5, 74.28909952606635}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}, StripOnInput -> False]}, StyleBox[ StyleBox[{{ StyleBox[{ InsetBox[ FormBox["0.`", TraditionalForm], Offset[{7., 0.}, {7.5, -75.}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.1\"", ShowStringCharacters -> False], 0.1, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, -39.45497630331753}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.2\"", ShowStringCharacters -> False], 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, -3.9099526066350676`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.3\"", ShowStringCharacters -> False], 0.3, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, 31.635071090047397`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.4\"", ShowStringCharacters -> False], 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.5, 67.18009478672987}], ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], StyleBox[{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> False], {{ Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}}, StripOnInput -> False]}, { "GraphicsAxes"}, StripOnInput -> False]}, PlotRangePadding -> Scaled[0.02], PlotRange -> All, Frame -> True, FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> Opacity[0], FrameTicksStyle -> Opacity[0], ImageSize -> {Automatic, 150}, BaseStyle -> {}], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]}, "BarLegend", DisplayFunction -> (#& ), InterpretationFunction :> (RowBox[{"BarLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Blend", "[", RowBox[{"\"Rainbow\"", ",", "#1"}], "]"}], "&"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "3.588677346250582`*^-21"}], ",", "0.422412758607727`"}], "}"}]}], "}"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", RowBox[{"LegendMarkerSize", "\[Rule]", "150"}], ",", RowBox[{"ScalingFunctions", "\[Rule]", RowBox[{"{", RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], "]"}]& )], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )], ",", TemplateBox[{ Graphics3DBox[{ GraphicsComplex3DBox[CompressedData[" 1:eJx1nHmcT2X7x8fIGsK3EMaSQTyyRBTDHFKWEOWRJFmzpSIpohRTkq0x2dOG JEnWrHN+ogXZYiyDyFCp7ElS8+P7/byv75z7mZ5/vi/v5+7MdT7nPtd9Xdd9 3ad896ce6BUbExNTJldMTM6rv3csKLwjM7OCz++hliW6//6sl+A3L1QuOb68 8Un9Wo2e/ceshlO2FT/SPLm08deLvdL7/OItDRdeHxo5IL2Y8aq56yy8ftHp hhvC1ylivEq/dsuW1Mrf6NPw+NzGj529Z+fJumUaLQvzi6nwZe9VrOl/eGuj mPD/MtbCV7RtOPH0nmqN3o2MT4R7f90WHj83cn0PPqPwhzuuXX9dxB7jl2fd E7ZnfsR+4yfzdQvbnxy5X+NtLvcI3+/6iD7Gf6p/cNQ1ffRv4zExXo/f+3sJ /Btd70/IDI/n3/yeadHi9IFm5xqhM/yXn2e3n/lA2UR0hg//un6PGsMaJ6Iz vHOHvzMO9nokEZ3hGQcyJo25/8lEdIZ33Dhx7vHSzyeiM/yfzdfPb1R8eCI6 wztoPDrDT+j66AwfLHvQGT5O9qMzvOjJyP2iMzxvy4g+6AyPiRn5Shb9ffQ7 Wat/+HkxDn5FevJvfodUS18w4lhz0xm+odzOv+re3890hr+fKznpXK9RpjP8 l51bKu55LMV0hi/7cNvuyc3fMZ3hI3595bWhse+bzvAFGo/O8FO6PjrDF8ke dIbvkv3oDE/R/aIzvKr0R2d4TMy7j1/TE53Rady8iuH3BZ3hr+j58t/Dt8oe /s1v3vYp34UKjjWd4duL//Jej9/fM53h07vc+t/XV39mOsNPHfhzcZ+Y1aYz fPGV3oXu7bfOdIaf1Xh0hr+t66MzfK/sQWd4BdmPzvAfdb/oDJ8pfdAZflXn j6/pic7o8dPaGmF/hc7wrnq/bL6KMz+5Lnyb7Off/HYbV/zm5zNWmM7wmoO/ /mvfkY2mM3zHi6M+77Rmq+kMvycxoUXM4u2mM3y3xqMzvJ6uj87wJ2UPOsMP yH50hi/T/aIz/DXpg87wmBh/6TU90Zn7Hlr53vB6hM7wU/Jv6AznfUdn+CzN H/4evK7ul3/zW/35zbWH9t5pOsMP9evS+ulQmukM/6m4X//oS3tNZ3i6xqMz vIauj85wT/agM3yR7EdneOyuyP2iM7x0ekQfdIbHxBwJr7+2ruv+mvgNwus1 OsNZj8xvii+VP0Rn+Bm9vzYPxNM037ADfkT68G9+Dy3MKJR35X7TGT74wWqb Jjc9YDrb9TUeneF7dH10tr8re9AZ/rvsR2f4V7pfdIYPlz7oDL9qdFjPaPwR uY/fcrQPx0vR9TLCy2yJrO9R/x7h47QeRf1RhK+R/4y+PxHeXu979HlH+B+a n1nsC/NnpCf/5rdiuwcafNw4qjO8n8ajs/13JSLXR2d4M9mDzvAvZD86w2fo ftEZXlP6oHPUXi+sJzpj7/ifKwbmM7ybM5/h7nyGX3TmM/wHZz7Df3TmM/xn Zz7D3fnM71FnPsOPOfMZftyZz/ArznyGf+fMZ/hrznyOPv/CgfmMXc2fKRjw z/Czjn+Gn3H8M3ye45/h9R3/DK/n+Gf4L45/hl9XIuif4ccd/2x/1/HP8FaO f4a7/hle0PHP8BKOf46+TyN3ZvXP/P1Gm+sH4g34s068AV/ixBvwH5x4Az7E iTfgzZx4A37SiTfgfZ14A/6rE2/AWzjxBr+vO/EG/IwTb8C/cuIN+IdOvBH1 T96yrPEGf+fno9cF4mf4eCd+hv/gxM/wW534GX7EiZ/hK5z4GZ4jPRg/w9Oc +BmeNz0YP9v65sTP8FNO/MxvQyd+hucpH4yf4Yud+Dnq748E4meul/Ngz0A+ CC90MpgPwpOdfBB+xskH4audfBCeZ1cwH4QfcvJB+DQnH4Tvd/JBeL5dwXwQ /pWTD8JzlA/mgxZ3OPkgvKOTD0bXT6931nyQ/25FjgdHZ61vwAu1DNY34OSb 6Ax/36lvwGc59Q14ufRgfQOe5NQ34A9tCdY34JOc+ga8enqwvmH+1alvwJc4 9Q14T6e+wW8dp74RjUe6Zq0vUTfzmtbI6Pr7c/9Tr/OO9R0/Kpt6nVegSvXs 6nVehY9e/Dibep336rYm2dXrvK4TTu7Ipl7nzewzu0Y29Tpv7h/vZFev82Jb 5MquXufd3nx2dvU6b3dafHb1Oq9yvs+yq9d5hdeXy65e5916NH50NvW6a/O5 ++8DvIRhQ2+41Dz5Fp/fic227p2wb535bfjapG+TxiSPaqh/e/DRwfHGr4qS dTzX8cZmf30vtun+7K7vfaLx/NvqBydfCFyf63147FjgOvDZvdZnN94b2WFT mDv2X9VnR5jvK1K4Z3yLCj6/m0vlOT5wQXIj/duDzwtyxns7sh9vHPv4714+ 0LnNr/3783fN/q7JTVpn4Wb/hNyPh8fzb/67mJhy2Y33m1T+OLvxV5/XyPuy cLN/8N4Ps7PHm7V+batr/FRKobTMl7LUdb9fmZj69+lG92eW+DwzM87+buML X7z8zMJNDeGML7axf/VB75dI3LD7xo2ZmSVsfOby9nFdep1oCLd1rOulLUO/ vlPvVcjGH7nj0+0zCuVoBGd8+0db3zesyAOJbcN/t6CN/+nj706UHR1qBGd8 ib8zGs7/rUdi3fC4nDa+4gejSo55sXwjOOOrf7HqnQK9BibWC/PzVs+fMjVv 6Vdvq9IIbuPv+X5TzVn4Z9/q/MtV568dGW91/t+O3xC+DuO5zt+qVzMeXlXX rxOx0+ZP7ootw/bDGX+r7G8T0cHGN+mdEtYHzvibpE/kOiEbv+L0orD+cKu3 S///izxHGz8n15Ph5wtn/Aw938jfjbPxbxz6KDx/4IyvrPmjeWjjd1+adT5P tWnMTxsfeyQyP5m3rBv/iVmbq3mfUonMT/gnHb8pWXvu3TY/rV7t9a6Y9mV3 m4fwg61fber/OdTmG/zvcrufmtr7DZtX8G6vjdt5XcmpNn/gh8fftLbskXds nsCHK17iuVvdW+N5vvCHdX2eI/yS7OF5ufbzXEwH3S/6w9dIH3SGJ0pPdLZ9 hpPtC373ViPTGV4pqXDtAt/1NJ3hs+/f98b01FdMZ/j+ajumzH9+mukMP3BH kXvuSZpvOsM/W1e6Wo6tS01neOV3Puw8Z8Bq09nqmor/0Rl+q8ajs43X9dEZ niZ70NnslP3oDP9Q94vO8FrSB53hn0hPdCauadNlYvfyfz5kOsOPHlowpcX2 F01n+L5GA3MeuGmG6Qx/oETBk1W+/9R0tvp8oaStA/5YZzrD0+v+0W/o3i9N Z/iRKTP6nb75W9MZ3lT5LDqbnRqPzu710dm1B53h7WU/OsMP6n7RGX5K+qAz /DHpic7EiX2qZs6amtTPdIa3uu5Iuc71J5nO8HmfjHmvwl8fmc7wcR90nhe3 fp3pDP/mljtG31Jys+lsde/BNS4PSd5lOsNfejd//3+8NNPZrZ+jM3y4xqMz fJ+uj87wL2UPOsPflP3obHVo3S86wztIH3SGvyg90Zm4O+e4pHwtbn7WdIYX vXz+roaXppnO8JQxE1veUGOp6QyvVnfkmK8ObTSd4atfWjgkrfFO0xne9a/U hh2upJnO8MXvfZK06uv9prNbP0dn+AKNR2d4e10fna3+L3vQGV5F9qMzfJLu F53hxaQPOsND0hOdyWPaNj5yukPK86YzfGzZTXdU3TTLdIZ3GNs3+YcNy01n +OEyd85/8/avTGf45oMnx11Ysct0hu+t9MihgrX2mc7wKqGzS+ta/dz/n/o5 OsPLazw6ww/o+ugM3yh70Bm+Q/ajM/wB3S86Wz1D+qAzvI30RGfywvzOfIaH nPkMn+bMZ3gdZz5b/4Izn+F9nfkMX+PMZ7d+js5Wz3fms9X/nfkMX+3MZ3h1 Zz5bX4Azn+HlnPkMj3PmM3l2f8c/w9s6/tn2tRz/bP0Ijn+G73L8M/yE45/h Ex3/7NbP0Rk+xvHP8GOOf4anOf4Z/rbjn+ErHP8M7+L4Z/gLjn+mbtHNiTfg l514A37BiTfgTzvxBjz3DcF4A37OiTfgfznxBryPE2+449EZftqJN1x70Bk+ zIk34FeceANe4HAw3oAPd+IN6kALnPgZfqcTP1td2omf4eec+Bn+lxM/w7c6 8bPVsZ34Gb7HiZ/hnhM/w7904mf4RSd+hl9y4mf4aid+hrd04mf4Lid+pq5W 38kH4V84+SB8s5MPwjOdfBBevnwwH4SPdPJBq3tPCOaD8KlOPgiPnRDMB+FD nXwQXrp8MB+0unebYD4I/9bJB+G7nXwQ3sfJB6lTVjoSrBfB73XqQvCvnfoP fIRT54Hf7dRz4G2dug28m1OfgXfYEqy3wPs49Rb4A05dBZ7o1E/gw5w6CXyX Uw+B93bqHnZfTn2Del3j1d3D9RCnLueVyf9SuK7i1N+8KSPSS1+rzzh1Nu/J hDfDdR6nnuZd2LMwXC9y6mbehImJ4bqTUx/zXpwxu1TWuhZ8jurnTh3M2zP7 Uni8U9fy2n6SEL6+U7/yahx+NWyPU6fyxo6bH7bfqUd5o1dOD9ejnLqTN3H5 0LA+6MlvzXYLD43r9KvN29JHC40bkF7ev7n48lcvjChu8/a+225okl73Fr92 rW1t1+y7w+YtdeivBzwcf6jXfVE/vOmGRSt+u8X/qvyc0/PWdLB5u1d12mZf 3lL4x9Idbd7m6lK4ZPKcCv7OPesKNC3eyuZtHdXByne7b1JWPbG/x5qlBa/F S+iJ/X/Oabl93prHbd5i/8W03hsXlG1n8xb7D5z/b+5aw2pF/bDsHxv70aA/ R+SxeYv9RyfNaXe82S6bn+ceL9EqvkWcnxKz4LdmWfwtv+fOx168bXuTaF1o 6s3x6SvK+Ilvdq0xbHtX0zNfzZKTVgwo69ddsumFt0YMNj1r9yz4T/Oi5fyE +Qll9vR/2fTsvrjgshUDyvl/JCQn1X4wyfScdKVgv/hvyvl3da6ZcHT8KNMz VfXDco4fOCv7b6r17P0NvFmmZxv82f7P6i76ZlK0LiT7b3u6/IaOp0aYnvll f74TlVcWzdHT9Kwj+4ucKrZ+YeOmpif2l9D+Gn4A+5cfbBbjZ/EDeeeEfm2e XNz/stTkC7uyxA+9Em7sGN+ihP9MsVefKXS5R7QupN9pext2ePnQSNO57ICb aqavuNk/UWV+kYdmTDadh+cqNmvFgJL+98XXZex+8F3T+cDbxfImx5fyEzp/ dG/8nDmmc726xQcPSC/lT++zrOYD+eeazimqH77urGt5ZH/XbQ/UHnXVx6Fz T9n/U/cOw46MXBStC8n+ca2Sn19YbLbpXE72n6w2udqoVa+aziNk/wHtd6Mz 9qeEzpeomq+Z6Yz9rzX4ok/Wda1M+D0q4idVb9E2azz8Qvh9Ker7hwffvW7O CNM5sq8S8tt/XLvMM4umOvsaIf90sbGTS1ZaEI0fmhRJSF9xo//utqe+b3fP ctP5zIEi81cMuMnvk7tc55SP1pjOrZ8pemNyfDH/yU+rfPLIwvWm8wLVD1c7 cVqc7N884eENky9vNp2Hyf6xyb/v+vSnDaYz9jdOf3vi+gvLTOe6sn+/+h/Q ebLs/3zIgx16T3jNdMb+F0YN3x9/a2/TGft3fDSgQ9Y4rXf4uef1z5Y4+kbW /O6W8PPN5789d/87p/pNNJ3Tw8/xen93pUuPr778oVO3L+DXqX93Rq0uq0xn fvPX/fTJmDs2ms7Xh9/TG/wZ45KOdVqy2XTuEX4fC/sXb6yw+Mec201nX/XD Fk7e8bjsH9Lt3uaxrfaYzuVkf2aLnxrmnrvDdMb+hurnQeepsn/872VXjrx/ men8gOyfoPmPzgVk/8WdDQY8OXCk6dxd9rd+ecvorHlHfNieP1MbNP4zs3mW esX08N+9kjo3/pb4X/pE6xWR62emjm1auV/DKktM54gOOfyb977x2f1bN5jO kfci1t9VoufeUjO/NZ357ZzrzZOdX/jOdD4bnie5/LOVO65NmR7Noz9W/fBn p85ZXvbfVbJrnQpPR+sVU2R/mvrT0Bn7B+SrOmNp7HannpzDT198y4JXz/hR vyH7t9zxcPevci80nevJ/i/l/9H5jOwv6BdfnDWP3hG2/8vUs0WW/JK1/rY2 zNNSyz729tzRSdH626awPUdTlz16Yc5d7aL1t0Xh8SdSn5hysG3Jjl+aztPC 9/tr6gflPts+cvNOp25/NjX38Xb/WVV2b9Q/6/fxboMGd85SF1r4L3XOz2V/ f3F0Xiz772j4zekFBaP1t42yf3eDE7VbVo/W35bK/rfXp3/f6PNNpvM7sv/2 5dfd+fm70brQRtn/yupSm3+oN910riv7BynOsbhN9vYTR+c1keskvqjroPPE yN9NrK+/i87zInYmzpGd6Lw2cl+Jx3RfwfpbWmId6YC+UyO6JQb7hKlz+v9T 5+S3r55LMO84m5hTzxGdJ8n+OXru6Pye7O+ieYLOy2X/Z5pX6DxD9t+qeYjO 78n+05q36PxbZJ57l1Mj8xydb8devRfoPDTyHnlf6T0K5nc5vEN679A5b+Q9 TRyq9zSYR19J/EnvNTrHRfxAYiv5gWC94qLpb3Gy7L8oP4PO/HaTX0Jn7MeP BetCOTz8HjpfJ/vxk+g8SfYvll9F5zKyv4P8MDp3i/htr438NjpH9LnBuyQ/ j87YO0PrAjpH4q4C3iStI+i8P7LueIlad9A5Yk8+L3fLyDpl62BkXfNe0bqG zh+pfpjDqXNq3fHy3RRZN9E3n+x/T+ssdvNbSOtysF5RwPO0jqPzXtl/WOs+ OsfJ/vWKE9C5p+zPeXMkrkDnVpE4xNumOASdT0fiFm+44harC0XiHG+94hx0 xt6jiovQOZIfhbxWiqPQWXGXN1lxFzpH8rUi3h7FacE8pYjX3Yk3FEd5gxUH orPiLu9JxY1WF5L9cxVnYje/eYpH4lJ0TpP9AxXHovNQ2X9CcS86K870lihO Rue6kbjaG6W4Gp0j87CUl6w4HJ2Vd3i/KG538hTvtOJ827+WvW9p/qOz8ggv d49IHoHOyju8Xso7nPjZ2+bEz8oLvBTlNeisPMKrpzwInbE/Q3kT+paR/ReV Z6Ezv58oL0Nn7J+sPA6dsT+mdCTvQ2fliV668kR0Vl7pVVBeic7Ko72SykOd vNsrpbzV+jEiea5XV3kuOmPvN/L/FtdF8mivjvJoJx/0Jjv5IPbXVZ6Ozth/ Rnk9OmN/I9UB0Dmv7G+hugH6fiz7O6nOgN383nQhUpdAZ+zfqToGOueJ1Ge8 vFVHvTln39umM/10i1QPQeePIvUTr6PqJ069yKPegs6tIvUZ7x/VZ9A58n6V 9wrMjdRz0Bl7hyv+ceobXmunvoH9Y1RfQmfsr6l6FDpj/y7Vr5x6kXdG9S50 Vn3J66n6GPqqHuX1VD3N0dN/V3pyP9TB1jn8jP67WqrXcZ1f9f93DnKP38EO 1/W9uP8Er0+dsFKlLVn7zaxvsPfW38Oc/jP+f/okGQe/HLcqPN7OP4uXVv3c zv2Kj9f+hfWviN+n/SM7zyn+mPbv6AOAx2r/lH1reB3tX7PPCs+h8ewLWjyi 67OPBe8qe+xcBPtasp99Angj3S91bXgp1bft+wJ6nyqoHo6e8I6PLQ7Xb9ET Tl8fesLLso8mPeH0TaEn/D7tk6InnH189IQPUp8AesLzazx6wtvo+ugJvyB7 0BNeTfajJ3yT7hc94c2CuhnPHVMgrJudv5Z/mhnYf6lgfFtKi3D93M5liy/W PpGdyxanr8/OZYvv1z6pncsW/0D71HYuW5w+H3SGt1Kfhp3LdsbbuWz8rq5v 57LFT8geO5fNfcl+O5ctvlH3a+ey2b8K6mY8b8yx8D5L8FxDyH9I+0HBcxAh v9XkWeH9i+B5h5B/WPuMwfMOIX+f9kmD5x1C1tcXPO8Q8pPUJxA87xDy6TtC Z/hu9ckEzzuEfPqsgucdQv4EXT943iHk95A9wfMOIf+k7A+edwj5F3W/wfMO IX9gUDfjuWPah3VDZ9bPOO3HoTP84F3fhPeP0BlOHy8623jtU6Mz/Ff1JaIz nD46dIavVJ8MOsNT1aeEzu5462sR36LrozP8iuxBZ/hZ2Y/O8JLaF7b9RfH6 Qd2M544ZGdYNnYlHbtd+KDrDjzZ6Pbx/h85w+qLR2fry1CeAznYd9WnYdwfE D6pPBp3hXdSnhM7wreoTQ2f4IxqPzra/oeujM/wX2YPOVm+T/egMf073i87w VkHdjOeMaR/WDZ2J727XfjQ6w4d+XSZ8jgCd4UfVN47O8P+oT8O+WyH+o/pk 0Bk+Sn1K6AwP9klmrIVXVZ8eOsM/0ng7hyz+gq6PzhbPyh50hteU/egMv6j7 RWd4+6BuxnPE/BTedw5+T8BfG6c4GW75n6M/43/VdwngjJ+28PrAc2H8G8p3 4Iw/7DwvxrOPA2f8bc5zZPyDqg/AGX/aeb6M5/sGcMa/7jx3xlNPgzN+tTMf 3DonnPHuPGF8P+dcP+OXOPPH6qmqO8EZ/6ozrxh/r/SBM/6MM98Yv0H6wxlf x5mHjJ+u5wtn/D/O/GR8Dc03OOMfceYt4zMzE7PONxufmfl7YD6Tz9Vw/DN8 ZtKTAf8M7+z4Z/hKxz/DXf9s3PHP8L6Of4Z/7/hneA/HP8N/cPwz/LTjn62O 7vhn2/90/DO8ueOf4VcyJwf8M/lxSSfegPfptzIQb8CvOPEGPMOJN+CnnXgD vtOJN6wvyYk34DuceMP6H514A77biTfgeW8Ixhvwc068AS/rxBvwO514A345 81gg3qDe0MmJn+Edc8wOxM/wDCd+hp9w4mf4Y078DJ/lxM/wWk78bNd34mer szrxM/xtJ36GD3XiZ/hlJ36Gx7YJxs/wF5z4GX4lc2YgfqZ+M8vJB+FbX64T yAfhK5x80OptTj4IP+7kg3Ze0MkH4dOdfBDexckH4W87+aD17Tr5IPyykw/C Vzv5IHynkw/Ctzn5oF0/8+a4rPkg9bB4p74Bz99wUaC+AV/l1Dfgdzr1Dfgl p74B7+TUN+CVnfqG9YE69Q14Rae+Ae/s1DesT+FwsL4Bv9epb8B3O/UNeBen vgG/nDk2UN+gnldI9SWn/uZ52dffvFXZ19+8QdnX37yXs6+/eaWyr795A7Ov v3kVs6+/eeOzr795w7Kvv3lp2dffvEHZ19+8dkcCdUvj5zIbh+uW9PNRr3tF 9XD6z+Cr1YdGv5SN134Q/T3wn9TnQz8KnL6Ufeo/gO/WfvSv2se1uqv2o9k3 hdP3wj4fnP0+9qXg9H2xDwHfpf0U6ubwhCqRujH9dtTZntB+Df1hdj5e+2Xl 1Q8En6X9ymnqX4HP037xevVb2D6w9uvZD7b6ofaF2b+EP619TPbb4G9p3439 FXi89onYD4AP1r4G/WHUuzpof/Cg+png27U/S/8NnP1x+kXgi9SfwD4lfJX2 W9lXg3+v/UH2geDFtJ/FvgW8k/Zf6A+jjlRd+8v0M8GLaX//E/WvwHupv0L/ tnoUfXHsU8J/1n4l+2rwItpfeyHwXYuQ/432g+ijog6zVX0IU9Q3A5+lPhD2 QeFvaD+UfTt4de3fsc9k9SLtN/2f+m+oS1wX6D+Js3rFJu33sS9l/XTan+I9 IU8ZoP0p+mvhZbQ/SD+o9dNpf5b+RXia9sfpt4PTn0B/GJz+EPqZ4PQ70RcC P6f+EPoY4LHqZ2DfHd5N++/sE8MnaL8Yf2L5o/Y38SfwrtqPo8+YvOP/pDN9 sfCL6o+ljxM+Xn0F9B3C86ivgz45+En11dDXBU9QXxN9G/D31b9BnwH8cfUb sC8Ov1374/gZ+M/az8XPwOtq/xE/Q17QUn0U9E3Cm6iPBT8DH6Y+oi/kZ+A/ qo8LP2Pnk9QXgZ+B0/+Mn7G/q31n/Iz1KWuf1PpQ5SdS1IdD3yH8B/VBLZaf gc9THxr+BE7/AP4E3kz73ezLws9rf3a4/Alx6T71Zc2WP4Hfpb449sst3ta+ Ofu78K7a5/1CfgM/kaK+O/wDvKP2f9n3xU/01D6vE4dcqz+fuxaH5AqO90pr 35b9YHh17fM6+7Demr5/ns9yHYtzXtff5bwE610l2UkfIfxZ3Rd9b9bXqfeU 8xWsOw2kD+cE4E2l53j188Hph3xe/We2Dup5DQ187yjkf6vny3kJeD3NB/r7 4RmaP3PVLwifqflGfx78gOYn/WTw1zSfOR/COvKt5j/nNOD0aXCuAH5U7xd9 8HYeV+/jOvUvwg/o/aVfEN5P7zv9bfAG8g/0Y8Gbyp9wjoX16175H85jwC/J X3F+AM45CPrd4U/IH9Jfbn2j8p/vqP8SHi9/S78jfL/8M/158H/UT04/GXyc /D/9Q/A/tF7wHlEP/0PrDudM4I21TnEuAj5L6xp9/PBntA7SNw/PVP88fd7w C1pn6Ze162hdpr8T3kDrOP188AFa9+mfg29RnEC/FLyT4gr6e+BlFYfYeRDs CZyritb/OxbtHj6HxTkiuKe6bopT/+e7iJzTgG9SnZlzBXZ91avpg4dfUt2e vm23Pk//K7yvOP2a8L91HfoLzX79Xfrh4Hw/OcWpe7+l+6LfCF5JOuBXWd9z KD5MlV+F51Wcif9kPb2kuBT/Ca+jOJZ+blvHFQ/Tvwunj5dzbqyP+xVvc14L XlTxOeeL4PQf0m8NH6S8gP5geFnlEfSzwhOUd+A/WU+HKk/hnBi8sPIazjXB +T4/53DsvKnyJs6NwKcpL6Av3MYr/6KP2c4HK1/bJ78Kz1B+h1+FP6F8EL/K un9C+SN+1frulG/iVy1+UH6KX4WPVj7LuRf4X8p/Z8uvWp1N+TJ92PAVyq/p G4Z/rnwcvwo/rvwdvwqfqHwf/4n/2Ki6geoMxl9VnUF1CeOHVJfAf8K7qY6B /4QX0XmTOfKfxotG6iRl5T/hnVVXwX/Ci6kvmv5d+GLVbVTnMR6rvlPVhYzv V12IPjzrT3PO1cKnDZjUqXbh6HlwO283L/FSxrf1LC6x+lLtXI/u/bOtrffw wjkWDW9Zr7utl/B9e8bfd2vMU26fpL+vwJ4qKdOifZKWp6ouhz+Cz7npsTxH Njxh/sX6bVtltlhZoau9//DXN69/c0SL1vb+wKuu3lv0VN86Nv/gDx4Y832Z z2+05wS/R7qhD/p9vqX7y3c/1830sX6zmEpHFjR4zvSxfraxU5e36Pua6WPf D1v17tY3LiSbPvCEI/XLfzNxuukDH6g6MDrAVyVd6TW39CjTAT6kXMEd8X8P NB3gRVu2XtXhrU6mg/XP5nvqpp3fJpgO8Eekj33HjP6xqucG/bIzxe0D959f d3jOthkfRM9DiX/Xf+D9oTLRPnD41lYNL7actdTuF95S+wt2Xky80vNpC4c0 Gx/9/ph4nyl3jmmUMST6/THx0rpf7gteV/MheO4+5H9aaPD8sbErne9Vhvwn b3y0yad7fOe7lCH/rjZT63dO2OR8fzLaxxU8Lx/yDzvnN+HcV/C8fMgfrucY 7I8N+Sma59jJfZQrnVm4zNNbzU74w8s7pvR8aqfZ6fZBYQ88xTnnaM9Z8w17 4DP1PvJ3savWmTHL8hTaa3/X7Qty61pfOef7jMsPcB2378Wtd7nn0eDND+SJ LVwieh4NXqFJt6bn2kfPo8HblnioS68bo+fR4F9d//n2cgOj5/7g+Ws98UhG lei5P/i4KUOu9DsQPSfl9mPg9+C3Szfrtxd/VM+ReQVnHvIc4dv0fqEz/D75 GXS28/fyz+hm+/jO+TJ4/7x9n2vQ8WPnPE5Ob15suxFvbU813eBDj/c4v6Hw VtMNPmlgij94XfRcKryg9EQ3t2/B4lHxypr/wfM1Ob1Ben/tOwDie+WX0Ae+ Vf4ZfeDntK5xv/z9+jOnf5lUb6ndL9xv/mdqraQNznmNgt4I6cD9wplX3C98 u/NdNfha+SvuCz5Sfjh4zqKg10XrEfcFv0XrePB5XY2TdV/B5xXylur5Bp/X Vbv0vgSfV8jLcL7/Bl+pdSSof8iroPU0qH/I26c4BHu43jDNQ+yBx+u9xh74 o8535+D7tb7zd+HtFBcFn1ec10X+JPi8ovu2QZ3jvP2Ku5z4x/Yl8WP2fTWN 5/2Ee/q7zEu3DsZ1eF8ry36LP+ij1v3a90LFy0g3rg9/VDoHz2WErjq0yHMJ fg8n5F+v5xj8Hk7If1/PPfhdmpDfTPMn+F2akD9b8y34XZqQX0vzE3uYvzdq PmOPne/R/Mce+DC9L1zXvmep98vWA/H1ek+xE/6U3mvshK+RH2Aew+s69jOv D8vPYL/FU/JLFseI75Efw3740/J79vfEK8pPcl/wKzUj/tb2A8RHyT9zX/CB ut/gdypy+nP1vHh/4E8584f36ZCz7sA9rVPcL3y71jWrt4o31DrI/cJZN7HD 1mets9ZvKj5C6zU6wC9LH3SArw7Mh5DxezWf0cHOm+r9Cn7f4HxqK73Xbh3M PXdv+UG23xf1147J9vui/tr/Zvt9UX/toWy/L+r/y/dF/X/5vqhv3xcNfkfU /5fviPr/8h1Rf+0X2X5H1F+7PdvviPr/8h1R/1++I+r/z3dEsWuJ4kzbL8QP aZ4wHnsnK+6180Wsy4qTuQ68ayB+y2nrbyW9j0F7Qh75bDAeC3kvKC8IxmMh r7ryiKD9Ie9uvRfBc/ch71n5h2AcFfJWye9hD3pXU96EPfASyrOwB/6U8jLm G7yG7GS+wWcr78B+Ow+t9932ZcV/CMRvBY2Plj/nfqxfTutO8DlezW+U5waf Y5xHXhw87x/nxet+g3FgnDdKzyUYB8Z5X2c7H+K81vJvwfkQZ/Fn8Jx+nNdJ 61cwDoyzeCkYB8Z5e7S+O/Ufr7Pu16n/eAl6vk79x5ujeejUf7y5mv9O/cfb 5rxH8Cvy806dx4tNi6x3Tp3Hq6J13KnzeGmKN5w6j/dfxTlOncfLUBzFc4c3 UZ3n/wEaWrzo "], {{{ EdgeForm[], Directive[ Specularity[ GrayLevel[1], 3], RGBColor[0.880722, 0.611041, 0.142051], Lighting -> "Neutral"], GraphicsGroup3DBox[ TagBox[{ Polygon3DBox[CompressedData[" 1:eJwtmXfAj9Ubxr/Pc863QkJWiMioiLaISNGwygyhUkpDFEWFJCLR0kBUfiqy G2aTohAtq21VqKRQyPh9rq7nj9v9eY/nPe8zzrnHdSp169X6jjSXyz3PPwH/ Or4Y/usklzsevgA+By4G14XPhgvAZ8PV4aJwHfgsuCB8DlwDLgSfC58OHwuf B9eEy8AXwxfAFeHL4UZwWfgSuB5cHK4HnwuXgxvD9eGT4abwJfCZcAe4FXwW 3BFuDe/Q78M5/HY9A3gY+xkujC+O/xUrAaf437CScMSfwDyN4LrwtsTv4SB2 DONn4U9jrBJ8BXwx/Af+J2wrdirjrfBXMH4a3BpuCleH28DN4J/0LuBi+KsY fwQeDHeEn4QfgR+AF8Cz4UHwfHgW/CC8SN8HHgjPg2fC/eE58FR4FLwUfgce DS+D34WHw+/D8+HB8EJ4DjwC/gBeAD8MvwfPgx+BF8ML4VrwTXBX+Fp4LPw4 fCF8N9wTPg++A+4OnwPfDt8Anwv3hG+Ea8O94Jvg8+He8M3wKSy6O+HLtaaw 2+BujNeD+8C3wQ3ge+A74Dqpr+8BN4T7wb3g+nBf+Hb4Irg/3BveqrUIF8Fv 0RqFC+O/wyJ8BHuK69/Gv8nYeHgJ/DY8LnsPi+Ax8DvwW/BD8Az4Zbgn/Az8 GNwXngg/A98Jj9fc8JPZt3sD7gNPgJ+G74ZfgJ+F74Kfh8dk7/91eBo8FJ4J vwKPhN+Ap8M3wKPgoXAbeADcF+4GPwo/BN8Ij4aHwdfDI+Eh8BB4OjwZbg3f D/dJ/A30bm+BH4XfhGfAreD74Lvg2+Gn4dHwrfBT8KPwbfAYeBR8LzwJHg/f B/9P8QUeAL8MT4R3YqXhAviN2DHw0fg/FSPg4/AJ158Gn5xos7LHcJXgFK4O V4Y3Kx7BhfA/YkfDefy3iePZIewH+Ch8wH+T/DdV7l/sezivUIH/HSsFH5Xd v97/a5oDrgFX0XqBT4erwvsUC+Ay+P2KTXDZbH1eD3eE74cnwxPgunA3uBN8 CKsGV8DvxcrDpfC7sXLw8fiDWFW4PP4vrCxcFP8vVgU+Eb8HOxEugT+AVYbL 4W/ibz0OD4f7wbPhKXAP+CV4rGJR9D4pi9+GXQKXx/+CXQyfiP8ZawSXw2+N 3m9l8Jui91sp/OboWFAa/yt2KVwRf0f0M7zGR9gBN2H8JPyW6P18An471hiu gO8Z/WxTuf726OeZAv8OX5F6bZ7Ax5qMb85Yu+g9/BTXtI/+lmPgm6LX0CS4 Q/SaeAb+E27B71bFt4leB08wvg++Wd8VvxfroDWHbxu9hp7kmpXwiVo0mg+7 AC6BX4PVgAtojujv9D+u/wtuyXg1/C6sOVxFfzM6PhbBr8VOhwvqOaJjaDH8 19Fx8Dj8BuwMuDB+fXQsPha/DqsJF8KX4J1M1PvR/UbH3KL44oxPgC+Dd2NX wqfgP8FKwoe4z6/gU+Bj8F9i1eCj8Z9i5eEE/0N0vC6O3xOdt07Fb4yO0SXx f2DN4Mr4nVhT+GT8b9hlcCX851gVOI9fjZ0EB/wKrDR8hPv5Aq4KH6XvGZ0z jsd/hlWGI34VVgFO8T2i98xkfveW6P3wMnxj9H5+Cd6OFVXs5Xd2wl8qf+En 8fMKeEni73Aj3Dnx3O3hlonv8Wr4ysTvox3cIvG9dIbb6HvDK+EPE9cPqgEu T/yOW8JNEj/fVfBl8N/YGXA1/D/YmfApWTxRjXEqvjfXvwa/BPeCp8IvZjll GjwJviWLseOy2K5c82TiOkTxpwOswm4K/ELi9dId7gLvShxLKyZeXzfD1yau eRTTTlBeiI5L7/H/v/BzRbh04vVyHXx14vVyLdw+8XfrCreDO0fn3bG856uj 4+/TcNfoOmw8fF10fTYB7hJdG42DD8H3MNdZ+E7R8f1Zxq+Pru0mwrdFx9xX 4Wui8/pz8K3R8fQVuFt0nfcCfEN0nfei/i5zj+M+n+Dn49gjT/PzxVpTwXnw PXyesQbwecobcEO4NlwCbgE3TryWu8BtlTfgK+FLlU+Ycxg/12XOI/x8PuNn KC8xdhF8fuJY0hZunuU11c9n6n7gS+EGiWvORnAduIj2MdwQPp75x+o65u+O f4zxhxl/DP5Y96+cgv8T+x37G9uZ+68czm3JeDO2B9uF/YbtzrmW/TX7/x3Z NVOZcyN+Q+K/+Tn8CTwndQ59jX+ewz6DP048l+b8Oefa6Qv88sTzan7Vyf9k XASbnc0/C/877/0j3YPyBVZBNUNwX7IGXpk47t4F3wofxmrDtbQ+GF8NL9M9 BP99zaMeRjX8gex9bMe2YY8F39vM1CZeoTybPb/e0zTFYHxJxh+Ozt+K+VPw PzK+PvGz/pI972fKb/i/mHt16v2yG/489Z7al+2p6dozWr/ZPW3K3tm+bC6N 7c/uVffyV/btPlb+0/8HX7M3+92d2Tfekb1XvV/1JN2ja6xdXP9+6veg/f1B 6nj4B+Ovwj/A67RP4PXwau0f+Ht4beIcshb+NHGeWQevUk6FV8FLFXPh7+A1 irnw1/Dn8B+KF/BJiePtN/AXidfln9m3eJHxDXp/id+B3sVX2PHatznnl+LB 8Vn1RongOKZ6Y13q+fcy1iu6rtoD/8B4Lb0XeH3qWKcF+33q2PsP4z+mjr37 4I2pY6/2XGGsCXyh7hO+ED7INf2i+9j9Wl+p9/W/8E+p1+EB+CDcPOc89W8W K5TvDmfxQbn1tyy2KP/uzGLLYXhvtveV1wZF972qN3ZlcUC5RbWG3sk1erdZ PFHe/DuLD8qnh7K8oxy6J3sW5XEVw8pNyg/P8/PVqeucI1luUg3wUHS/qnrm tOC9pjxeI7gXU36PwXlQtUc+OFeqJikN98i5njw2ODaqDimkGJ1zPVMwOG+q /jkqOLeqtjkuOI8o1xcNzl+qowsH5xTVRaWC85TqzyLBOUg1Scng/lT1pNb/ 7iy2hOAYq/qqfHBPqvq2THCPqfr2pOD+VPVn1eCeVLWK6s0H4XsVV6NrT42V U47JuR6uFNzzqqatGdx7qsarA9+bc41UObjnVT18TnCvqhrsjODeWbXoWcG9 rWpF5XTpACOz2LIn2wsdo3ukTdibqTUN1a4Lo+sP1cOqi7/V9VyzKHUPpbz5 Vmo9RHXswiyGaJ4Fqfsv1cYPY8vhZswzPLgu0n6dm1onUY09P3V/pDw+L7Vm onp7GPYJ3JTffQT+FG4BPxock69U7Rn8XHq+lvATcM3ouvtF+Dnu59JgPaQG 4+3h5+Ba8NDgvHYF/Ep0b6NavWdwX1MPHhkci1rCb0b3zMq/o4NzViv47dQ9 lOqEUcE56yrVp/AIuDp8R7CWUh/uF6yTNII787tD4YHc5zXwQ/AA+PHUz/5+ Yg1Ha+Y+uBM8BL4/8T4bDPeHu8IPww/AXeBh8CD1Ianf/wdwe/gBuB/cFh4I 3w23gwfB9yTWE/SNFsP3c5/vwpdwnwOCNZzG2svB+o/6gl7B/ax0hb7wXMU3 xvsE60gN4LuDtaaGqr+CNaiL4P7B2oX+5pBgfUk9xcBgTalJdA2l7/4R9zMo WFNSfTI/WjdRffVAsJaiuuDyYC1Cdevt8Cz4Aq5pF6wvnQEvTd3/qmb7KHXP q1puWereWbX9h6l7XtWEX6XWHtUzLs5yrvLdktS9uerMFal1A/Voa1Lrk+o3 v0ytZ6qeXJ5ac1D/+EWWF5S716bWMNXPbk2tSc6Bt6TWLWfD38H14ZnwN6m1 0+lww+C1oTWivac9WDBxr6m9MAJeBdfMuXb9NrX+OQPekLo+VP7anFo7naXa JrUeOw3enlqTfAPelOUL5bJtqfXV17UvU2sX6o9WptY01DftSK2pvhlcd+tb vKp1G1wnn8m36BK8T8+Grw3uO6SRzIzWsFSrdw3WFs6Jrn+1JucyT4/gnqUO 4x2C+xT1Md1Vf8DnMn5jcJ9ynmJCcO9zvvZ6cO9TO7qP25xzTfdOap1E/YX6 E/Up6imKBetXyh27U+uu8xg7JstNb+N/ZbwZ/BZcALsFfkd7KLWWoh7kr9T6 7Vz4z9R5U/n3ANYJXsh4GqznLMLvT60/L4D3pdal58NJlsuUc4vlXStrv5QN 1tPe1RqO7g1Uh7wdXTOpZuud7Rft2TuDNcmf8Hfpd+Cf8Y9H99ofKaZG9+BL NXdwT/qLclEWz7V/50RrcJsZmxgdy77Qt42OR18p7kbriZ/CjYL1vc/1nqP7 VdW0V2VrQPG8VbC+9zX+hSxWfqlvG60PanxKtD74DXx/tL6v9/9SdExcozmi Nc118ODgmlyxYnK0jrmesUuCtUfNPyRaZ9f7vyjLL9pfjYP1WD1LE+zZnOd/ JFrjej9YH1ccm8HPL2d91AbGmwVrs7qHNsFa5bf4ttgr8Hf41sGanp7l9OA4 r/c/KVp7XQu3CNZ1NeeDwZrDNnzzYH1YzzI4+ixBa+aj6LpTtWWt4Pyi71g9 ixuqPe6M1j0VT3pHa6Pa+9OitePv4T7RGqXiz93R5zGKS9OjdecftLeiNWs9 S9/osxzFk7uitU7FnP7R5zqKG/dGn/0otsyO1jQ3wRcE68wr8XWD4/kKxZDo sx/FxqnRerHe4YxoffxHuF6wdq01dl/0OZPiz4PRZzzaXxOi86jW3vjovPgZ XD9Y016FPzM4Ly/DVwvOm0vwVYJz5WL8ycE59AOtkWgtTtefHZx/P8afGpyj P8SPjc67mv/ZaH1cz3hucO7+ROsrWhPX846J1vo0XhsbzjXLtW+i9UbNPzT6 vErx5+loLU7XNAjWafVc70f3tOpfKgbr+VqrFwb3+Kv1fNFnZootFwfr7dq/ o6N1Nt1/gbzPgZTfj8n7jEf1TJL3eZJirERvnSEp9qpf1j6owFia9/mT4u3+ aL1YddqR6HMmxfaj8z5PUt11VN7nRsrd6qPVz6mXfydaY1KvelvwuclWrZdo HVjf5Z9oLUb13q3B5y9b8Muj9RT1RB9Hay7qv2LeZ2DKIyHvcyzliIJ5n3Wp hjkQrXmpbjwYraMpfy2N1lbUo5XOu0dVrXts3jWc6pzF0bqPesZSefelqmmL 5q0vqKYqmXefrFp0SbQ2pF6ySN79sGqwUdEauNbhu9F6nzSBE/PWDlRz/h19 lqaa83C0Rq/c+m+03qf6p3ze+otq10J56zuqzcrk3W+rxi6cd+2oGrVc3v28 6u2yeffwqodHRmvsWv+zos9jNgbrG1tz1iM6B58xaW+OiNb/pYMtitb+pBUs iD4bUxwbF12Pak1+EK1zqQfvFnxmpPhwTfAZmWJOx+AaQHlfGqzWidaLcrly unSkZdE6l3rq16PPqLQeRgTrBupHOgWfWynW3YC9lXMuuz74XEzPNTD6LFl5 f1702Z7y4NzoMy3lzQHR59DK78Oiz49VAwyPPu9QXn4r+rxNOfe64PpZNU/T 4HM6xfk3os8CtbavCK5tVNP+HyMu6Uw= "]], Polygon3DBox[CompressedData[" 1:eJwtmXPAJkcehKenJ94kGxsb27Z5sX2xdbFt27YvzsY2N7ZtX3zPszV/9Ddd M/O+37zT3fWrqh60yY6r7tA2TfNv/nQcr+L4AccvaP+lv1HlSH9P+v9ww6rg U8Hbga8Erw2+CrwT+E/w/uDnwGeARxumaXYE3w8+Ejw8+P3SNO/RhqMNTzuA 689z/Uyuj8716zl+Bv6cdgP97bl+L/3D6Q/L9Z3AN4GPBt/C/1sNfBp4e/BV 4APBD4LPBt8B3hP8BPhE8Mh8fg/w4+ATwAPAu4MfAx8PHgm8F/gu8Mng2/j8 buBHwceBR+T6vuBnwKeBRwVvCL4BvAf4b+7fBfwI+FjwCFw/BPwy+FzwGODt wPeADwMPA94H/DT4VPAo4B3A94GPAA8H3gB8PXh38F98/yrgU8Dbgq8Arww+ GbwN+HLwzuCbwceAbwXvB34WfDp4IN+3EvhC8Fbg37g+N/go8Mrgn8Bz0a4E X8jYtNw/J/gK8AXgAt4VPC/9RTn3Pp+ZA3w5/fM513B9LPCmdNd3nOnvTpuf /uKc+5D7dwPPB14M/AF4F/Ac4PnBb4LnAV9N/2LOdXzf8J6jvwjn3qN/OM/7 ms9Df2yuz8T9Zzie3PO7v6fLfLwIXLk+M/hMxx/8B/3ZaBc430rGa/Yu7+Os kvk9C+0s8Ekl8/k/3kN/Ps69wf/8gf8/Cf1xOHcP134ETwoeF3wv+Gfw1OBJ wfeDD3CM6K/FuV/5/F7gRcHLgD8D/4/7Z6E/Dececrxoy9FflXM/cH0f8OLg 5VyT4AOdA+C1wf/z8yWf9TuedyHTZgHPTfdV+jtx/6zgecCvgXf2HYDnBb8O /p7/Py79AZy7m2vb06anPzvnXuT6duDpwLOBh4C3BU8LnhX8AvgwPv+q409/ LN73L+CZwFNxzwPcuwNtBvpzcO4l7jmU66/QP4/+mNy/VM34bAT+xbnRZb5f UbLepwHvBd65ZH6OTdsMvAH4ffrj0baUv8Af0R+Htjl4Q/AH9Cf2N4E3B39O fxKfCbwF+Av649K28P+DP6Q/AW0b8CbgT+iPT9sKvDH4Y/oT0bYDbwb+jP7C PP+J4LV5/p99V7QjwQeW/J5lOL81/W1oX4Nn7HL/USXrb62a9bZjm/k5KW1H 8JZc/5L+hLRtwZuCP3VsuqzXg8C/0l+jZn1K4s7/qVxzfh/Xf6A/iLaT6x38 lXOPNhh8YwkfLtWFnweX8O8i4Dvk/hJ+XLILH91RwueLd+Gv20r4b5ma9WL9 8HmW6MLXt5fwzQJd6sdVJfw/fxe+vLKE3xYE3wq+roQvp5Rz/T3g7+lPQdtV fgd/R39yOdb6A/6W/mSuUfkQ/A39FWvW95auDfDUtD2sT1z/0fGi3W5tKeH7 hcC3ga8v4Xc5+NaS3yg3/833bEh/So4vcO/ynDvO8QdfAl7WNc39e9KOB5/D 9Ym5PjZ4I/BhXeaOc2j4mjU1Bf0/StbaCbS96R/Euem4fhJ4X/Ah4JmcW+B9 wAeDZwAf6/iC9wdP4bP4+6yjrjm53PcD3gc8cc2am5L+nyVrcbga7pjFtdil Zp7HtUub1FLrwd70V+H6aXJ9zXetCj69y2dca645v+sG8DUlNXlja5EcBj7U /2GtAu8PPgw8W807WIf+rG3ezTxt5qZzdCDXjnQ8S55hfPARXda+HDAh+Gjn A3hfOdZaal2n/wnnNuTag9ZZuRK8MfhheQn8FXhT8EPyDvhL8CZd+HM82mQ9 nz2gDqH/Oef+zfU7ab+DR6Pdx7XHaePR/57rW3DtM+tEk8/42UesS/S/5vxm XThzcvDvJVx6JM/8lPWN84PBB9PW8Vk5V7h2jPMfvB94MvBntCH0nyzRM/+l XVtS4zfh2qf99z1Yolf2Bt8NPoXvv71LjbJWWaOebVOjrFWD+noh58v9/iZ/ 23w173Y1+md0eSe+m99KuH/+mmdbnfNngheomYtrgM8CX0Q7mXvP5tyyXPut Te2ajONBXWrWsuBBfS2zJloLJ21TK51zcpsc51z8vE3tHZ3j3l1qoFphjL42 +oyHcP8xTZ5dDTED/a7XFta46SyLfe07lXYA9x/OuTmci224WE6Wy625apXx 29Ti79tolfE47utaoR1TorkW5f6zwYe79sELgs8HH1ui0RZTa4GPL9GoS8hN 4ONKNPTi4I3baA05VC49l+tHg08CL1KjOaanX9toEWv4tM6VvrarIazlo/Xa Yuc22kcNpDbfqw33ysFq+eu552rwjXI2+OouWkvNtQ546zZa6MImWlFNeTb4 oiZaU847FXxuEy5Ug54DvriJNtUTnAu+pIlXcE6rZaZtM9fVfGqLEXstqCZU G4zURis6pw7l88c2mWvOqcNKONe5JgcdDD66CTddDD4FfA54OfClziHweeB/ ga8BXwK+Brwu+FrwpeBrwevVaFi1zQhttO2nbbTSQI57dhlTuXXNNmPtdzrW m7f5X09wHB/8g5wIfgo8Ifgn8Nbg78Arg8fh+CT4W44rWR84PgH+iePqchvH p8A/c1wDPBHHp8G/cFxTLuf4TOdEYNw4TA1+sV8/astJOD7bZY0sVrLGXDv/ 0DayNnAcwrW/OG5g7eD4PPgbjiuCx5LbwF2NvpoB/DJ47Bo9sVAbfSRHy9Vz g98Bj1qjV+YCvw2uNfp/evBLck9N/V24jT4bs6aeL9BGv41VU+8XbKPXRq+p 5/OB3wWPUVPv52/jJ/7guD54co7PyTfWZX7v65w7ooYj5coXmnhB15xrfcM2 a3Fr8J3gg9r4CzlK7tikDXdtVaOPDmzjHzar0Qf7gfU3rmlr2/pt1rocYK1e rw03OAedu5u2mZuucWvfBm3W/pY1+uqANv5qixo9sn8bfzUNx7VLxtixds66 1nZpM5ddo871/7RZu2c5j0o8tF7aOe3c37XNXHeNuzb3brP2rdGuzX3a1G7f h2vjYPCN4G1q1sYh4Ju61Bi1wb5tas8oNfp5TvBb4Kc5TgT+WY3b6wu1wcyc fw08TI0enxH8Cvh2jsOB3+X+tbt4BL3CzJx7m2sPgqcu8TPvgm9pk0u8xbk1 6NwGHhb8DnitLh5LrzVNE79zazt0mJq3Obdml+9cyKFr878m5uK1bTz6wbUZ 6pcGlXCq3HonbUT6H3JuPe6/uR06DM2b4NXBj9BmLvFXn1g/aQPof8y5DZx7 4AnAP6r5wIPBI4A/AK8Lvgs8Evgj8PrgR7v4NTlH7tHv6q/kJLnpxnboIzZv cG61Lh5Rv6f/0g/bFqE/XJtrvgOf7Z+Sd+M7XBg8bP9uHeObStaAY68m8N3/ UqIV1AS++19LtIKawHf7XYlWcE7cXJKROFcG1Pih2bnvDa59xXEF8JgcHwOP WONfZgO/Dh65xo/NAX4TfFQb73F/k6zITOdO8ANNsh4116S+mxIt5jtaGjxq m3fnGCwFHqXN2FgzD5br29TSjzkuCR6Z48PgVzjOBf6b77sP/Fgbv/6tvwl8 kvOkJDMyO1JTqa2ebJINmancVZIxmbUMW+MfZ+Jzr3apGYuUPKPPquZZtUTz qoX0THonPZJZkp5H7yPHmB3pQfQicoLZkx5YL6xnMgvTU+mt9GRmO3oYvYyc YpalZ9O7yWFmXXq2O/r3azan57uxH39/n57sql4P+P4dj6t7Pe/7v6FGD5nZ WK9vrNFr/kZ/qx7uyl5fmF19xOfnpD+A4x5cH5dze3p/G/+8P21557JrRE6R o5tkRLv37/+mfn75vuXoi/v67XyVky/q9YpcLf/d2Y+HfK/nusZa08SL6WkH 9/NJflyH6yOAxwHf0T/jAiXP4LMf3sWv7wweTW4Hr6tXkCpqMqMze31k9mdm dFavjzbq9dbZvR6Se+X4C3s9JvebKZ3U62P1mXrt5F6/yO16eLMsMxG9vZnA ib0+NCu4uUZPW+Ot9ZKd2ZsZgLXKGmJWZ6ZgbdlczgNPBX7Ud1ujDcyg1Ivn 0I6gfwLnFuLaiTVeRk8j35xW866G7fn69BqvMKDns1Nr/E7X8/HJNf6q6fn6 pBo/9ncT/jylxo+1PT9fUaMHzZj0R47J8E0yYsdqlS61zRo3Eb9thS556SN6 FvCKXfLYR8HjD5M1PUnJmnatn1Gjz0bp+Xz5LmvbNT4O998MvqXEM23ru+2S D99fki9eVTOfzbD0z85Z58oEbebybTVz2cxOv3BtjT8xM1SvXwdeoEnGqR95 uc1Y/AXe0bla42/M5PQn5uPm4tYMa8fVNfreDE+9fwt4+SaZoP5HDzmE/htN vKWe76EST6gXlNNGLMn4Hus5cKYSDpQbb+31+bIl/ub2mnzAzFI/dkcNd5k5 6tcGq0macJrcdn2NPzITVj+3/fuYrs3aubNm7ehx1f8rd9kfeBw84TDJxO8p ydjNyh1Dx9LM+piaTEk/qN7XH5mpma3pD80O9U/6ATWcWs6M0LzA/ED/aEZn VmfNmaQmA9uqX99T12RCZkNy1Jw1mZvZmxp3yhp/aD5jTbG2qJmXLNHMamk1 +cI936vVn+35X478tdeoS5TURLWrmn0Z8CqukRpNvnSJR1CrmzEtVeIRzJ7U g46NY6SXMrM0u1RzT16TaZptqskG1WRgZmFq5ulr9gzOKMnE3EvQYyxYUhP1 HmZkR5b4X7MzNfu/SjyJWv71kj0hNYhaxIzTvOugJn55XMbr4ZI1eVRNxmnW qYaftiYf85x98y33PC4vyXjdCzGjNKvUI8xek/mZ/ek5Zq3J/Mz+9Agz12R+ Zn96iBlrMjeztwPB09R4LPcLFm3ivfQQ65V4Er2Fa27GkjXtWpRD5BI55Oga TzZ3iabSq43bZm47x80CvuSeT+h/Svu6Rk+e0+bcV+ATfAdN9rC+qalB1qKP aV/U+Gv9vfmBftoM2PxBv6/fvonrHzbZg/u8RiOtUZJBqp2ua+NvhvTf7xpy LcmRx9X4oQf79S8fyHFynfpFfySHyqX6o+NrMvh7S/bAzOblPLlPjnSvZQLw YyVr9tiajP++Eo40+9cDrFniMfUGarzVSjya2k9NuHqJ51Qr6vnM7vUEekE9 nXtFmzXxenpAs3s1ld5Qz7BiiQfWSzjGrltzdcdej7xQiQbUO5uRm5WrSSeq 8axm+3oSvawe1PzSPFZvasZv1q9GHa/G865Q4sH1wmq6lUo8tlpPTyM3ypF6 HT3vWiV+TS+sJ9a/bdzEK+up5yrR4N/0Gsg8eOsm2sj8c51eX6g3VurCfb5z 373j7Z7oe/14nVnjLwaW+IenarhPDjQbebrGf5qJmY09WcOdcqjZ2gs12ZQZ ln71mZpsxczF7OX5mrnpHFU/D6nJqsy09LuP1PhdM2mz6YdruFGONMu2plvb 1QB6sWW6cLtzzLl2ZU3e4x6T+bdz6h3w5W0/12r8shmyWfLjNf7dDNksWY2h 1lBD6AUfrMlnzMTNxh+t8edm6GbpS3fxetYYa40aR65Yq432ebYmzzFjMmsa ra9X8/Za0IxXf6gH0guZ8UxW4hfNfu6tycfNrM2uzXymKMnszILuqalF1iSz 7Ptq8lUzerP6u2vmgnPCPPyumrnpHDVrv78mbzXzNvt+qH9+M3+z/wdq8lcz Y7Pjl8CnN8kczTvUbGo3NZre20x6opI9AbPq52q0nxmm+ZaZ+AQlmbVZuZn5 hCV7FmbpeuaXmnCe3PdPDVfKuXKvHPQu+Io23DRsl1ppTbO2jdiltrjGXGvD dKmN1lRr60hd1p5r3rU/Whfuk2PkmtG7cI1rzrU3oAs3uEZdq531q0nNtfaO xfHLJhx8Nc80XJfaas219qp5lu3r8fc93y/T12Prx7f8noFN9gD0n7/W+GUz Cv30GF3WvmvetT9yF66QI+SK4bt8l99p7TcjmbIkozY7GdiFG+V4uX7ULtwp Z8qdo1i/mnCq3Pon/39B8Jwl/vqvmnxDjpFrSpfaLifKjW0XblSjqFX+ruEi a5y1To2uVlejm7VYA9+if2lfG9Vgb4Mva6PNzDQmL8nUzTqsKWZvF7apNbWL FlIDqYWe4vhVk/ronFFP+C4H9vVNT6A30HOYteg59B7ut6g3/qjJM8xI9Ptq jDfBl7TRHr/XaFkzGf2/HClXXtmm1rkHNH7JHoZ7Q09w/YgmewDuBbwFvqzJ Hph7YR/XeEk9pVnERTVrXQ6QC/Q8eh/1tPpcT6G30BOZHX1U4yXMSMxKLq/J csx03D95sWYvwD0A88Dzataaz+iz6tH0W9+UeLfXuH5+k0zbvNkxd+wdc7OW 68CXga8Dr8+9F9eMjRwlV51Vk0ePXpJPfQJ+qEmGYZah5/Gzh7bxQu/X7C25 p2c++AH4liZ7TuZ/+mv3Ns38VqX/Xk1WYGZgvuj/8H9Zo8zGzq/hDjlFbtHf 6Ef04Pq7c2vGxj0499ts9gc12U9zT2/Mkt/gXp81z9qnpzNLu7DGT8lpctuH NdmBGYJZ16s1eah7Fu5dXFqz9uRoufoy2ukl73iFmv0898cmbZI9vVOThw7d Q+DeC2q4U06UG9+oyVPdA3Ev5JIa7neNuFaW7aKt1Exqp7Nr3p2/yd+2Qs+/ W7R5lvX78d6tH9t3+/EZumfh84JnbMIhcsnLNdmBGYL59ds1WcnQPR3wKzX5 sXsk5tGv12QTZhTu7bxZk++6Z+Pezf8BPFO3Qw== "]], Polygon3DBox[CompressedData[" 1:eJwt12fYFNUVAOBldwGpIggoKBaKSg2gIF2pkSo9oSZUQzVUI02liAKiAkKU YlRKVDQJClgokao0oxQbkKCACoKiKEjLe57hx3nuPe+c2W935s65893Ua2i7 IelUKvW+yCkqZlKpCqJ0NpVq4cCTxrXyhuZHza83LyWKmNdk/XOkUkOddyW7 mtVmA9ifxBT5Kn4ju1t+j7oz5pVZJVHG8Zbyp4y75J3MR6t7SF19+U7RkY1i E1g9+SeiL5vCZrJW8nKirLjJ5zRzbIaxqKhjPlDdMHWFHS/O6rHBbAS7mhVj ddkgNpwVYdeJkhGO3e3Yo8YS4i7z+9WNVlfc8fysMuvB+sb1Y78RVeL7ONbK saeNBUU1817qBqjL5/hb4mbWiLVgv5oXUFfF2JP1Y7nUXMsasKFsFCvG8rAK rCvrIibK84qKrJu8t7qMusKsBuvHhrCC7BpWnw1hI1lRtjquHWvImrOz5lep u8PYlw1mBdQUYrezPmwQy8/Ki9vitzjW3LGZxnyiknl3dX3UZR2/klVnvdlA lpetySTX94hj15qXEJXNY0EuVLdEXSf2vmjDfozvZF5DbMok6/NkNllLsaYy 5jewNs7t5Nyf4xz+i/wWUYXtZKfYz/JyojLbxbLOLW1sz7qy8+abM8n6/D6b 3NO4txszye88kU2ek3heNmSSdXec3WJ+q9iSSe7/D6yqeTVxLq4Da+BvNPU3 jphXdXyk8Rk2V1yIa6yuurglm/zu2cZbxb3mD6mZ6tw7HU+zUqw168hOm5+P 59DYmLVk35lfjHVubMpasxPmx+K3mL/LXo3vLl9rLMheNr4i2mXj5nkezFvG OhXj5eVFz7jX8Z2VNHNujugNrBXrwH4yv439zjiVPSqek69X25h9Y35TrBuR y7ws66imu3MvmOdkZYwdWDd2zrwC+0P0JDaPNY2+xGaxN9ibomDO5FrHNS/n WGvHZhnXyRuZfx1rJHqS2Cf6sMnOe8LntZR/LLqz8dG/WGP5HtGLTWTTWXP5 XtGbTWIzWAv5R6IbG8cms0by/4iubCybxBpG34v+Gt/Bd2nq2HTjB/K25sPU jVFXK9YW759O1kWsj8XybbwdGy4fq662/EPRhY2JXsDulm8X7dkINo7Vke8Q HdjIuI+sbvRhn3kfm8cWsdaxztn97Hm2jHVm/xZN2LfZ5LvHb6hlPoktjmdV 5HTtt2aSa34qm6zhWMs/iYvxrIlKsV9kk3U/Kp2cF+cvjx4pRrOl8tf83e7O ey+TXKNj2aTHR6/fLXqwCbGu1DWJnuv4ULaILWUd2a+iIKvPmrDD5qfZpegF ogbby6o79wHjMvY666HmgijKmrBW7Lj539gPscZEidgz00nPit51XTbZI6ca /yt/0Pw5dS+q+2P0Of4kW8+2stHsLjaTrWNb2Cj2PzGGzWcvsV6Z5DnqzB5g fxGn5Yf4WLYgrp+63vLvxQl5HpFXvKPuABsePUS+QF1X+UExgs1hC1k3eQO1 T7C1bDMbyeqzGWwN28SGxxply9gn7CCbweqx6emkl0RPGcGWiywrG/ecfRHP LftMfi72J7GCvRy9w3gzL88+jWeUPWt8h21gD8v3i2HxLLP5rIv81ej5rAyr yD5PJ9fgpPwGUSr2Zd9tNjtgnhG51a2KfssOyfPFtWJvs7MsfzpZo7FWN0Yv FuPY8ugv6vqqqcumstVsHRvC7mQPs3+yt9h9rCZ7iP2DrWb92VdiInsp1jwb GM+VurlsC9vJxmWSPb58Oum50Xt3X+7FJVldeT2xTT4n7mc8e+IKJatjP2XT jK+yN9iwy72kXzrpw9GPz8iP8qfZCvm76h6MHhmfyTax7WwM+5e4ilVjtdk3 0W9ZEePtrC47Zn6YPR57B1vB/iz/UjzCXox9hg2IZyjWqvzG2JfZFsc/YwOj F7LZrJ38czGIzWBzWHt5Dd9vAnudrWL9Lu8Bs9nGWC/h8R4qprCV8jXqBqn7 VAxg09gs1lZ+r7qlbB87wKazNmwJ28v2s2nsCzGYPRG9mHWQ11H3KFvF1rLB l3vi5HSyF8WetCKbrKsC6eSexb0bnU164oXLazTW6jr2CkurKy2v4PM+M/8r Oyy/ShRga9iz7Ii8SI5kv459exE7Ls+KYmxT9PRYb/IrRf7Y69kZlttYkzVg B81/iT3YWIPVZ/vj2Yt9wNiW/Z5dIb8i3m9YZ9aTXTLPzcoZO7Ee7GLsG2q/ k+cSxdnm2CPY6fhu8ZvZjngGYm+QXy2uZ9tjnbAf5YXFdWxbOtmrY88ulU3e HR7PJv+DxP8i12eTff0x48/ynOZ3xPPh3APp5P0i3jNuyCb71zTjfPk3ai7G +754j78dfdbYnLdnafmb0dtZbdaInTJ/gZ2SFxIl2Qfp5P+eWunkXTzeyQ/G e6oYz16Tr1TXx3krRQlWhzVmP5q3VPdCOlm3sX6vsYc2Z4vYLvk+dZOdt1Ac k6dFUbbR8ZPsaFzjWENsPWvq3HnGrWwXG6+mMXuGbWY72NhM8ndfZB+zj6Jn yZvFtWHbo9+oe0RdK/YS280+Z4+xWdGP5TniHrOVjrdWt9i4h33BHlezNPbg uE6iDPvY8b+z83G/RTm2hz0dz5f8Uir5H/RN9lQ8/+xC0vZSb0RvZYWMVXkt 9nX0AZbXWIHdzr6MPZF9K0/F2jJsiD7qQ543fsg+YVPUvCuqsnasC8sjnxs9 K5612BvYO9G/WT5jRXYH+8r8tz5vgXEH28MmqlkizspLiNLso7j/0cuN5Vl1 dijeM9i5WN+iLNsdPZgVjncRVod9a36Pv7HQuJPtZZPi3UUUZ81YG3bS/P9Y itd+ "]]}, Annotation[#, "Charting`Private`Tag$41980#1"]& ]]}, {}, {}, {}, {}}, {{ GrayLevel[0], Line3DBox[CompressedData[" 1:eJwt0rsrRnEYwPHjfr8lpYj8AWxkYJSBSTKwkYGBkoHRIDYbfwEriV2xufO6 35Pktrhf4/Mrw/f9PPX+Ouc5nVPW3tvUExdF0bBeFeZHXWo2PopyucBSrrOC p6zlAxv5zTZmJERRN4tYrEFzNUdZzwm2cIqdnGc/l8K1eM13betZ91q2UIwr 3OEqd7nGvbAT97nBA27ykFvc1pE5xmPu8IS7POUez7jPc057jht+6EIvYS+N 2W2LQ1xkH+fYwUk2c5x1HGEVKzVgLmQX09jKT/do4B1reMzy8Fws4a1zV3xT jp7CWRXYMZv5zGIeM8MZZjCL6eEdMI2pTFGqOSnMTGByeMdM4q8S9RP+05es Ec34uf3/Hv4AxpdK8A== "], VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{690, 1001, 473, 689, 1107, 912, 691, 1108, 913, 692, 1109, 914, 693, 1110, 915, 694, 1111, 916, 695, 1112, 917, 696, 1113, 481, 697, 1114, 918, 698, 1115, 919, 699, 1116, 920, 700, 1117, 921, 701, 1118, 922, 702, 1106, 1119, 923, 1002}, VertexColors -> None], Line3DBox[{704, 1007, 1210, 703, 488, 705, 1120, 924, 706, 1121, 925, 707, 1122, 926, 708, 1123, 927, 709, 1124, 928, 710, 1125, 1008, 1211, 711, 1009, 1212, 712, 1126, 929, 713, 1127, 930, 714, 1128, 931, 715, 1129, 932, 716, 1130, 933, 717}, VertexColors -> None], Line3DBox[{719, 1010, 1213, 718, 1011, 1214, 720, 504, 721, 1131, 934, 722, 1132, 935, 723, 1133, 936, 724, 1134, 937, 725, 1135, 1012, 1215, 726, 1013, 1216, 727, 512, 728, 1136, 938, 729, 1137, 939, 730, 1138, 940, 731, 1139, 941, 732}, VertexColors -> None], Line3DBox[{734, 1014, 1217, 733, 1015, 1218, 735, 1016, 1219, 736, 520, 737, 1140, 942, 738, 1141, 943, 739, 1142, 944, 740, 1143, 1017, 1220, 741, 1018, 1221, 742, 1019, 1222, 743, 1144, 945, 744, 1145, 946, 745, 1146, 947, 746, 1147, 948, 747}, VertexColors -> None], Line3DBox[{749, 1020, 1223, 748, 1021, 1224, 750, 1022, 1225, 751, 1023, 1226, 752, 536, 753, 1148, 949, 754, 1149, 950, 755, 1150, 1024, 1227, 756, 1025, 1228, 757, 1026, 1229, 758, 1027, 1230, 759, 1151, 951, 760, 1152, 952, 761, 1153, 953, 762}, VertexColors -> None], Line3DBox[{764, 1028, 1231, 763, 1029, 1232, 765, 1030, 1233, 766, 1031, 1234, 767, 1032, 1235, 768, 552, 769, 1154, 954, 770, 1155, 1033, 1236, 771, 1034, 1237, 772, 1035, 1238, 773, 1036, 1239, 774, 1037, 1240, 775, 1156, 955, 776, 1157, 956, 777}, VertexColors -> None], Line3DBox[{779, 1038, 1241, 778, 1039, 1242, 780, 1040, 1243, 781, 1041, 1244, 782, 1042, 1245, 783, 1043, 1246, 784, 568, 785, 1158, 1044, 1247, 786, 1045, 1248, 787, 1046, 1249, 788, 1047, 1250, 789, 1048, 1251, 790, 1049, 1252, 791, 1050, 1253, 792}, VertexColors -> None], Line3DBox[{796, 1159, 957, 794, 1160, 958, 798, 1161, 959, 800, 1162, 960, 802, 1163, 961, 804, 1164, 962, 806, 1165, 963, 808, 1166, 585, 810, 1167, 964, 812, 1168, 965, 814, 1169, 966, 816, 1170, 967, 818, 1171, 968, 820, 1172, 969, 822}, VertexColors -> None], Line3DBox[{821, 1267, 1063, 819, 1266, 1062, 817, 1265, 1061, 815, 1264, 1060, 813, 1263, 1059, 811, 1262, 1058, 809, 1261, 584, 807, 1260, 1057, 805, 1259, 1056, 803, 1258, 1055, 801, 1257, 1054, 799, 1256, 1053, 797, 1255, 1052, 793, 1254, 1051, 795}, VertexColors -> None], Line3DBox[{824, 1064, 1268, 823, 1173, 970, 825, 1174, 971, 826, 1175, 972, 827, 1176, 973, 828, 1177, 974, 829, 1178, 975, 830, 1179, 1065, 1269, 831, 601, 832, 1180, 976, 833, 1181, 977, 834, 1182, 978, 835, 1183, 979, 836, 1184, 980, 837}, VertexColors -> None], Line3DBox[{839, 1066, 1270, 838, 1067, 1271, 840, 609, 841, 1185, 981, 842, 1186, 982, 843, 1187, 983, 844, 1188, 984, 845, 1189, 1068, 1272, 846, 1069, 1273, 847, 617, 848, 1190, 985, 849, 1191, 986, 850, 1192, 987, 851, 1193, 988, 852}, VertexColors -> None], Line3DBox[{854, 1070, 1274, 853, 1071, 1275, 855, 1072, 1276, 856, 625, 857, 1194, 989, 858, 1195, 990, 859, 1196, 991, 860, 1197, 1073, 1277, 861, 1074, 1278, 862, 1075, 1279, 863, 633, 864, 1198, 992, 865, 1199, 993, 866, 1200, 994, 867}, VertexColors -> None], Line3DBox[{869, 1076, 1280, 868, 1077, 1281, 870, 1078, 1282, 871, 1079, 1283, 872, 1080, 1284, 873, 1201, 995, 874, 1202, 996, 875, 1203, 1081, 1285, 876, 1082, 1286, 877, 1083, 1287, 878, 1084, 1288, 879, 649, 880, 1204, 997, 881, 1205, 998, 882}, VertexColors -> None], Line3DBox[{884, 1085, 1289, 883, 1086, 1290, 885, 1087, 1291, 886, 1088, 1292, 887, 1089, 1293, 888, 657, 889, 1206, 999, 890, 1207, 1090, 1294, 891, 1091, 1295, 892, 1092, 1296, 893, 1093, 1297, 894, 1094, 1298, 895, 665, 896, 1208, 1000, 897}, VertexColors -> None], Line3DBox[{911, 1006, 685, 910, 1309, 1105, 909, 1308, 1104, 908, 1307, 1103, 907, 1306, 1102, 906, 1305, 1101, 905, 1304, 1100, 1209, 904, 673, 903, 1303, 1099, 902, 1302, 1098, 901, 1301, 1097, 900, 1300, 1096, 899, 1299, 1095, 898, 1310, 1004, 1003, 1005}, VertexColors -> None]}, { GrayLevel[0.2], Line3DBox[{251, 474, 1107, 252, 488, 280, 1214, 503, 295, 1218, 518, 310, 1224, 533, 325, 1232, 548, 340, 1242, 563, 355, 1255, 578, 1160, 370, 593, 1173, 385, 1271, 608, 400, 1275, 623, 415, 1281, 638, 430, 1290, 653, 445, 1299, 668, 460}, VertexColors -> None], Line3DBox[{253, 475, 1108, 254, 489, 1120, 281, 504, 296, 1219, 519, 311, 1225, 534, 326, 1233, 549, 341, 1243, 564, 356, 1256, 579, 1161, 371, 594, 1174, 386, 609, 401, 1276, 624, 416, 1282, 639, 431, 1291, 654, 446, 1300, 669, 461}, VertexColors -> None], Line3DBox[{255, 476, 1109, 256, 490, 1121, 282, 505, 1131, 297, 520, 312, 1226, 535, 327, 1234, 550, 342, 1244, 565, 357, 1257, 580, 1162, 372, 595, 1175, 387, 610, 1185, 402, 625, 417, 1283, 640, 432, 1292, 655, 447, 1301, 670, 462}, VertexColors -> None], Line3DBox[{257, 477, 1110, 258, 491, 1122, 283, 506, 1132, 298, 521, 1140, 313, 536, 328, 1235, 551, 343, 1245, 566, 358, 1258, 581, 1163, 373, 596, 1176, 388, 611, 1186, 403, 626, 1194, 418, 1284, 641, 433, 1293, 656, 448, 1302, 671, 463}, VertexColors -> None], Line3DBox[{259, 478, 1111, 260, 492, 1123, 284, 507, 1133, 299, 522, 1141, 314, 537, 1148, 329, 552, 344, 1246, 567, 359, 1259, 582, 1164, 374, 597, 1177, 389, 612, 1187, 404, 627, 1195, 419, 642, 1201, 434, 657, 449, 1303, 672, 464}, VertexColors -> None], Line3DBox[{261, 479, 1112, 262, 493, 1124, 285, 508, 1134, 300, 523, 1142, 315, 538, 1149, 330, 553, 1154, 345, 568, 360, 1260, 583, 1165, 375, 598, 1178, 390, 613, 1188, 405, 628, 1196, 420, 643, 1202, 435, 658, 1206, 450, 673, 465}, VertexColors -> None], Line3DBox[{263, 480, 1113, 265, 494, 1125, 286, 509, 1135, 301, 524, 1143, 316, 539, 1150, 331, 554, 1155, 346, 569, 1158, 361, 584, 1166, 376, 599, 1179, 391, 614, 1189, 406, 629, 1197, 421, 644, 1203, 436, 659, 1207, 451, 674, 1209, 466}, VertexColors -> None], Line3DBox[{267, 482, 1114, 268, 1212, 496, 288, 1216, 511, 303, 1221, 526, 318, 1228, 541, 333, 1237, 556, 348, 1248, 571, 363, 1262, 586, 1167, 378, 601, 393, 1273, 616, 408, 1278, 631, 423, 1286, 646, 438, 1295, 661, 453, 1305, 676, 468}, VertexColors -> None], Line3DBox[{269, 483, 1115, 270, 497, 1126, 289, 512, 304, 1222, 527, 319, 1229, 542, 334, 1238, 557, 349, 1249, 572, 364, 1263, 587, 1168, 379, 602, 1180, 394, 617, 409, 1279, 632, 424, 1287, 647, 439, 1296, 662, 454, 1306, 677, 469}, VertexColors -> None], Line3DBox[{271, 484, 1116, 272, 498, 1127, 290, 513, 1136, 305, 528, 1144, 320, 1230, 543, 335, 1239, 558, 350, 1250, 573, 365, 1264, 588, 1169, 380, 603, 1181, 395, 618, 1190, 410, 633, 425, 1288, 648, 440, 1297, 663, 455, 1307, 678, 470}, VertexColors -> None], Line3DBox[{273, 485, 1117, 274, 499, 1128, 291, 514, 1137, 306, 529, 1145, 321, 544, 1151, 336, 1240, 559, 351, 1251, 574, 366, 1265, 589, 1170, 381, 604, 1182, 396, 619, 1191, 411, 634, 1198, 426, 649, 441, 1298, 664, 456, 1308, 679, 471}, VertexColors -> None], Line3DBox[{275, 486, 1118, 276, 500, 1129, 292, 515, 1138, 307, 530, 1146, 322, 545, 1152, 337, 560, 1156, 352, 1252, 575, 367, 1266, 590, 1171, 382, 605, 1183, 397, 620, 1192, 412, 635, 1199, 427, 650, 1204, 442, 665, 457, 1309, 680, 472}, VertexColors -> None], Line3DBox[{277, 682, 683, 1119, 278, 501, 1130, 293, 516, 1139, 308, 531, 1147, 323, 546, 1153, 338, 561, 1157, 353, 1253, 576, 368, 1267, 591, 1172, 383, 606, 1184, 398, 621, 1193, 413, 636, 1200, 428, 651, 1205, 443, 666, 1208, 458, 685, 686, 687}, VertexColors -> None], Line3DBox[{459, 667, 1310, 684, 444, 652, 1289, 429, 637, 1280, 414, 622, 1274, 399, 607, 1270, 384, 592, 1268, 369, 1159, 577, 1254, 354, 562, 1241, 339, 547, 1231, 324, 532, 1223, 309, 517, 1217, 294, 502, 1213, 279, 487, 1210, 250, 473, 681, 688}, VertexColors -> None], Line3DBox[{467, 675, 1304, 452, 660, 1294, 437, 645, 1285, 422, 630, 1277, 407, 615, 1272, 392, 600, 1269, 377, 585, 1261, 362, 570, 1247, 347, 555, 1236, 332, 540, 1227, 317, 525, 1220, 302, 510, 1215, 287, 495, 1211, 266, 481, 264}, VertexColors -> None]}, {}, {}}}, VertexColors -> CompressedData[" 1:eJzVfGdQVNsSLiKiBEmiqEgyix7MEaXNRxEDIJgzZsw554QBQUVUzAERcwJl MKAeUVQykgYZMgiKEVDRN47fvrfequrr4b1zX/hF1a6uplfvXt1fd397rCbO cZqsrqamZl5FTa2y8u+7frKuh5unUYdLBedrJYZQ5o9dZ4fI0yn+ZJDq+dnr r1XPt5XvVj23eOCren5i9XvV8+Wdj6ieN71dR/U8x13vgkpPYJzqudmZE11+ Pl+WNV71PHXWooCfz4PLMjv+fP514lfV8+z9J879fB5hHNfu53PjUP+LP597 eb0P/Pl8TNrKtj+fG7T9oHrePnDT+f8kfwv6v0F/DvRz9nD2c+fl/FNRfw6w 2H9cYZ1GpfuXFJLyeW+9DIPjyudVz1adu79xGtXSbDihdVIIzWz97O6SV+nU zcn1YuuaaVQ+qLefhjyEAr6sPFKYk06bw6qRU7ac6l6QW2/PDaE5Lh37zPua ToaTH1WpuVtOg737vO73JYRCzNWelVkoyOuK640m7eSUaFm57ho9GcW3N7EY /6eCks2/ZAzVkZNLhnfGUhMZNXZNdHw1/N/yLwV5Tj9nj51g/znYL53XRDgv 55+Kxifnz8huM59c0kmjNl0VoaavQqhSvbjHPwrS6WazxUaHT8lp8rUl9o8+ hdCT4HyDP0wUdCYxPHPx4VRKKf3x8lhLGZ1fGKL3eYuCHMqW3bLLTaZuJn1G f/GUkfpXo7ePe2VQQ5duXd2bJFFOcZsJc9/LyFi9w7ygyplUr35EF43JibRs ZfglG7NQarzcLltrWCY1hny2IC/pt4P+ytB/irFHsn+KYD933mqM/yt637n4 vMHY8z7CR7fAOJXWj5GdPzNQRpOfBy9fGaaggk41dnWYnkjZkTuX96wXSrOc beZ1c8mk5utmDfFbFUvx7q8ubfa4R+mBXWd9PZpNU5aad1q/OpruXzwWanzh MZWb2G9wG5VL1VJvZBwJjKLiSW5z7hx5Sp3axp4eYZRHkyH/EPLfIW8N/UnQ r4D+PMGe2bCnWLB/CuznzsvFf0Xzp3S/TIX7xcXna9ifJfjTZlH1UfvtYuji zVqxR78/pOAfH0rvXs+h8/2zN2vsiSR1F0+LardjKeflQlvXLfnkEPThqt/C KJqbYDKtWloKOXvHtbuYkk8Tsuv11PoSRUVau/Js49MoeJP5Df+r+TQQ8gsh 7wR5Sb829OdCf3PYEwx7bsMeyf85sH8O7D+J86YK5xX9Mxf+Ef2Z8pt6ZMDk N+6+S/GTKMSPdN5qgj9XtP/6TKsomiYogqLbXEonV9s1C7eV5ZHf0oat6rnF k0anHrVn5mZSnGxbpSjTHOpx45B1zxMJdN9S44b29SzK9R5hEaeVTQcF+QTI r4T+idDvAv2BsKcG7MmDPY1hfx7sz4L9/YX8o4Hz6sM/gwT/cPWXq9dcPWrI 5EPpvj8Q7q8Ub4uFeDsK/2jCPzHwj5r3kA2uZYl07OnaNSmHs8m71GX0zI6Z ZNn44WF3nyTqcn3WUN2YbNpY9WRUnXsZVOr1S/4w5H0hvw/61aA/GfoHw561 gj1usP+xYL+VUC9q4by7mfr7O7xkKOAlqb4PFep7bdSj5ahHTVGPNJE/y5A/ bZE/3XDfv+K+B+G+D0J8PkV8piA+zeHPzvDnZvjT23qUS5s9SdRLdvN5WVQ2 tVPPmbMzLIOMId8B8jsh7wr9kdAfD/1S/nkj5B8N2K/m9sv+brC/Bs67Eue1 xnmTBPzTBP6pKP4U4znhN/EsxUM44uEH4kGKn/VC/JxGvGkj3p4h3vQQz6cQ n1t/E88akD8OeU/In4D+atAfBf1DYM9mwZ6JsP857Fer/ct+i78Zzwm/ief/ 1fws4qWmyG/pyG+ZyG9SPqwu5MN1yJ/TkD8dkT/Pwj+68M8T+GcE4jMa8RmD +DwFeS3Iv4D8BuifAf1DoP8c7LGEPQW/yc/9cF7Ceav8Jj8HC/k5+zf9EYfn Twn19wLqb7ZQr+eiXjdDfb+H+i5DfZfOayqc1xHx5iHE2xTcd0PtX/f9Ju67 JL8T8o6Ql/SbCfobwp4o2HMP9qTD/lzYPx/2H2fOu4XBYxXtNzl8yOFJCX9u EPBnDuP/hoifN4ifXMTPBNzfaNzfSri/asifhsifPZA/x0M+EfLqkJf0F0J/ DvQrGH++EfDzVAY/P8V5uf6iov07129y/RHnfxF/SvHQj8FL5siHeciHtZEP jZl6JOXPXEGeu+9cfF5n7H/xD/WDFZ1vcPql9/vtb8439Jn8z9WXl0x9383U ay5/cvedi0/uvBWdb/zfmtdVFM+PZvDn/+68LuX/0LwuqVuV2h7K50vaz8yo q3zec+b31OHK552CbqvkPar+0mN43vP/Sfn/9vOmPmvtDiqfl9+Y6GKifF6q +Fzs+A8+7yoLUf3fxi9+vZfWXX/93/9fnstbfjUuU97rnaabH3ZRPm9R+LLy fuXzgSuOqeQbPitWya8uOPjr/W6a+S2gSRrtKiit/En5/PhZQ2N1ZX7YNKa/ Sn7nh8qqOP/W/Z5KfnpMaUKQaRqdaVt7yr6UEGpz6ctTy6x0qt9qrO1P+Utn O6rkX+k2Ut2XCR6XPvcol5PO992Zf2aEkG7T5Hc279JpaaNDnX/KF8QeVMkf G5Ojkl+2xrP/qEdy0jup4ez9JoReHwtb0lBLQavULFX3dP2yxqr7O8Tns+qe tgoOuFJnmZzeffq42PVHCK3LejQ+tpmCyv8IUN33uOZXVPJ/fdRQ5QFbC51R 1VvKqWqdms5H9GX0asScKrv7830Wp4ebV3P6V8P+DbDfEfa3Zuzn/LMc/tGH fwrhH87/Exn/V/T9VjR+LkwLVsmP3/br/jYP2P0f43NmxIFmnZR6msYf1tZT 1qlZ83NS2yj1jBludG26URoFvrnS+Liyro22inlklpdOZGhk0jtCTlf73r3R pyiEvh9eV9NPU0Et1ll81bKSk2WCreE1Ixnd9onx9BqsoKzer2OtylKoe9aB 6WHOMtL9MzXM7YWCekZZ17Vfkkxnd66V7z8ro3DZocgHCzLogZ5+Vwv9JBp+ okrz8BJl/2gYdNdKj5+fP2Lke0O/P/Q/hn7OHs5+7rycfzh/2t7Vs/xhkka3 vcekTUkNoejixxa3stPpZdvZncPuyckhucB839sQ6rFt0Md6Ogqq6/nU5vm5 VLp5OKPJ1RYyOtdI55rdegXNUncZaEDJdL3W6T0fr8toxu4Pn1K3Z1DNrZsK lgxKICfbTQ1ueodS6AY9vUZds6jszoin8eUx5BQ6uK21cxjlad67Gq+XQ8lu 8543clP2uY2SPvTXCafJtoea9JqfS1rA/28w/+kM/C/Ku0Fe0u8o6K8Fexxh jwz2uDP218F5g3DeQJxX8s8AwT+cP8u+rzhi+kZOmsY2h/yyQ2hV7butL5Qo cUWs7+1Zb1Pp9eQg90NmMpK7j0yNc1NQ1NCOF198S6KeR33lmx7IKJt6ne95 NoPunBxgWPw+lv7SfOE8zeQOmTX6oBttl03WaZccd22LIs/lzidW1I6gSp7j 7HJb5tHzV3eyd46JpPXtHNYOTo2niZn+Z65k55O+PLG3/aYoUvg1TnzTNZXu Rcnddib8e37+WphfSfIZgjynn7MnlLH/hXDeHJy3HuMfzp9nOmrpbj4pp8kO fifVP4eQYlac/6mf/VrcDoeFXimk3qGK2q4ZMnrXa9CUuC8Kcj04q5NXQjxd 6dYwzehCKC2q3jJk65wsalTVx3zS/ijq524VWD33KSUbl7vlNsijoerk/uxr JM3q1nesR5ckGu267YaNWgH12RFbNDMwhrQO95j25JDynvgPsm8xKY9aj1/w Nn17PNXbl6TzQy2LfIJ6bdpdls3Oz1tC3hTyvpDvBf1Vob8e9Ev2zBDsaQj7 Bwr2O+K8V3HeJTivreCf9/DPafjTTfBn2Zi+k2s5y2n89f26V6vKaODxq63M uyjz0vkNdQ9ZJ1PGtyn6C28p+8HBF/2O782gF9t3JdxoEEse7lXSXkTcp6wG 2VFlRdl0WeeV0fA9kTTttP2iqzdjae/b74/DNudTG9ddqUbx0eShPaRkhlc6 TZl87/li3Xz6lnTrhnvLBHIrVTRsOSOLFJu8bgS7Z9NGjaN9y3STKHaq+cEJ p7Jp3sFX1uua8vPG1ZCPhvxiyL+D/jHQXwD9NrBnI+yZAXsk+90E+yNx3s04 bwbOayf4RxP+KWX8+WSxdtEYJX5wLzT326HED+FqNqtmKfHDn4oEN99dSfS+ 5oqu91Nk1PSdW/c1LzMow7QwadnGGFpxwG3DK42HNLhO2BvzpTm0e9/jsXLn SFK/uELPkRJoa+GADRGf82lY/MPWZ8NiyGtc634BwQpqU7X1+JghefRUN9Vp e7+XZJA1+oSBXjZdJEu3pmuz6Lxm0NAqP/0Z71O5IDqbUqds7z3tP8zPT0G+ E+QzIP9M0H8e+ofCnh2wpz3s8Yb9Hy78sn8T7JfOuxTnHYTz9mX8w/mTi2fx fUnx/Bzvd5cQzxcRD3MRDz6Ihw6In12IHzfEj0byr3ibjnhLRrztRnwmIj6n /Saet0I+DvKzIS/el3To5+6XFM8zhHiW7u8O4bzdmHgugT/HCf4U80k68klX Jv9w+ao+8psj8lsK8ttw5MPFQj50QP40Qv40Rv7sjnzbGPnWA/mWm593hnx9 yHtC3h76DaC/FvSPgD3LBXusYP9w2C+H/U7CeZfivF3+Zn6W/MnVR66eRgj1 Nxf19zrq9RPUa0vU6/qo7wGo71VR3yOAB/yAB6YCDxgDP3wDfrgD/CDNz/WF +TknL+n3hf4p0M/Zc0Wwvz7sfyqcNw/nrcv4p5Tx5+/ws4gPJTwZDDx5Hnhy uoA/3YE/dYBXhwKvhgGvvge+nQF8+wb4Nh54eDnw8AzgYWl+boD5eXfg5zjI rxbkP0L/ZOgvgn5dwZ77sGcaYz933gTGP10Yf1a0H7T7TT9ohX4qBP1UOvqv Hui/9NB/dRX6wafo12To70aiv6uL/o6bn9+B/AjI14G8naD/CfSnC/2gntAP ivZz561oP8j141xfz80HxDlPdcwZxHmONK9oKcw91mPu0Rnzk2qYn6RjfsLN zzsx8px+zh5uTsWdl/MP509uHsLNVbj5DDfn4eZFq4W5mTR3+oa5Vqww1+Lm 59wcjNPP2cPZz52X88/bM23u6iifD1vzMaCD8vmGRvmVPZXPv55pm5mofC+3 39W8XqB8Pt+tvKwoLZ28u16qfNAsjVKObZrYXPkeO83vX98pM52G2XmFLqmW RmrVP7+OehVCAWqaJeML0yn4QmRj+3dyCjjtszE/K4RazZ1ea8jndLrk3/3l 3SI5LXQqD7+srAsT797dEqesC9UTfK33Vk0jmVWjT+rpIdTQ/tLasELen82X mKrwkkWD4yq8tE7jkQovfTfYZlhyU04/6pmPlr0Lobkh3zYM1lfei5KRoy/+ kNPg6Gor7yqU93oX6TQqTqc/Vq5cONUyjUIOxJzamRxCPduVnTTPSKdRH7z1 Q5ql0fDNPpfXKv/v51XzHC2UfrAemegyW2lP6cPYb5bK5+dtLoW5Ke1Z739Y lR/yv/qp8sPbp1mq/PBHh8W0skYaNYjd/MRNmU+8fE3qns1NJ+NbOz6NjJfT VKfSmOqvQ0jzzGqj/uoKmrtPv//QEXIqbFD/tpOmjAI7+rnO66ggg44fCrX/ SqW8hW7y641ltOVa/kOvxUpcNmFSbMGiVPqYfy/cqZOMvPcPbJ/vq6ATVKVv r4Op5PAsRNellYzGm6cOc9nG84RHvzF2zD+ZRMZvx84zfCkjHwf7WaNfZNDo JvNKly5PoVMHrm8/NEdGwVrGXy9oZJDDzi2t5pem0lSjLq+Omspofrsbi0rG K8h88d2zJQ/l1P3yuS5nlfmh3haD5oOV+WGv9erSY4Zp9K7Jq37PlX6w9i9/ viCP3+f+5VyiygPPPv7KA4F7klR5YMQxc1W9e2c8UlXvNtS/r6p39tuSA0yV eckwvP6QY8r/+971hIyU//fU4iltF0ankkZr6z1tGirzm/bJoAvzFDT4Su+o fM0UOn1/fUblbTKqp6nbo32HDMrTMbG0fJtIhXsLzaK/y2hT8Oa5iaaZdGK2 fpXSHS9p2HCtOpccQunU+rppJ65lkrn9PKO27i+pyfdZ2zOdQykq7sOIi/cz /8XLWiHwspZEJlo8rBRDvjtsTv94+YhMtu4r2JifQ4PHrr/ad1Ic/XjTqO+N 76EUdLTYOlDZ5+neH3Fk2fAkOuPRZo5/roz6GrmNv/Img+xjWi5tNSKVWjYf G3bSTnlUq9u9O5/+9/5d5D+/Vj/T00AvjbLVln/al6b0p/Pq8i/56TSgYJsq boudjqvi9nb3IlXcrlCcU+E340cNVPjNTi1Qhd+0O7r7TP6aSm56hk/K6sqo eULg1WvjFNTBOfjHynHJ1GHTpq2xF2Q094DxwJJVGdR91s6oJ+HxtG9gtnvd y6FUZ2Kw19xFWXTqxdTej0/EUOFR2YS9vg9oofP7wrgxOdS7f1jrXJNoWrsh 6M5D0yfkn97owrTrubRwwNWNWWOiqOmr2pM3X4+gAbZZx8Nd8v7FcysVeG5H irPKlzWKommfbHxCTZOp/N2R8ZU/5tOOvdXenAqPJJnZ5fyaPtHUM3FzrStN 8+ncMsOOnW/GkOZXhTKvPKD+3T17f3bIYfnD13b3l5v3S6WHQZ9WuvWUkeWz zkYe5xWUH3lwzNPrcopp7RXW4b0yDi3KzewMFHQr9ZXFz7g9r5iqilt9rVRV 3LapPkHVj+z5tlXVjxwNv6jqRw4Gyg8+OJNCN7q+9kybLKMjhn69r75TkInN gH45yxPIwcnD4d3WUKppq1e1brMsettk2TP/09FUq6Whlo3VYyoata7D7M65 9CK9Q9GA05FU3KxtXs8fMXSmp92BGlPzadhm9dDQ2lF0/n1Xh76xSTRRVz+x qETpn92LVl9OiaL4H3337GqaRmFOzxZ+C/n3nLNYmHPqlmj0qHwzjlqsaHFl 3pJMmqm2Wv3OlRy61uP6+07zomnBdVtnl5rptFZnyGrnUfn/4msZCHytpitC 4+ukxVCk4Yoeex6GUaRL7WtjrHPY+L/z9U938+RU6jguOtW+voxaHdX9/nmW gmY1a6iK25eTeqji9k5olipu9488q6oX9ZqtV9WL2ie2quqF+Yijs316JFP3 A0EbpihxuN22vKrhHhnUcaShfvbEWKqfG7RVreAeOU9wTW8alE3rtkUfCIiI pL4RnfLslkRTUVrvaWMa5FOuWUd3Q78o+hqxKc/jTiq1T9zuviMyn4KtJzoG UyyZDuu0tcbQDHq1WvaH7ptcWpv60bNDUjydrzG+v6xNFk0ctrthyc1s6ok+ Ogx9dA76aF+XpfoB5xJp4UFT/6AN2dR02cJeNgsyyQf8tErgpyWBn9ax/KX1 cuV7nGqqvWCE8n4nh1s2qy7Lp1mvmrv0+R5Jic+OT/0z6wX5Jfq+03maRw9S F/c/YRNPjnPKLX5Eh5J5q2/b1wdl0Sgm/1e19df5Gbf+L6+o4rbWrO+quPUd 0141L7qwqqZqXrT3sKlqXvSpyuw6z32TyLvRsKfrk2RkHHB9gUVsBhlZ/3E/ 92gMPQ+1KEo88YAK4pZrOo/PIfV6BVR3ZqSyDh3blu4YT7cjdkwMf55PH6tr r6rdIoYmTexh51meTj4DdlaVPc4jt+6P3g752We9Xb28+mrlfXjn86e5UzYZ ZXuVe/2c82z9sz+dyqbHZY+PRP6HuVAtgb+6A8//akLP+li9pHMBVrM0KmXT m6+6j78dzqKdZv29TsyMoYtVu1fa5KAgbSu3xjv35ZHdJllr05WRFKfZ+Ev9 U3E0weBO3qNL+XRk1cC3f1aLpXb97BfG/xFG/aa1uPWoSg7t3lI4eYplMvUs 8lh3NUTZH+0fO73SgQyyZnAO99wLenpATx3o8cP/7Yr/a4//2w12psDOibBz P851G+dSx7kewg+B8MNb+KGiPOFaeC/xeC8P8V4m4j064T2+w3v8hPfuJrz3 yoiTLYiTYMRJDcTVU8RVPuLqIxOHXNxqMnHO4SLxHpnhHkn3To57dxj3rjPu 6ULhnp7BvdYReMIXkQdWIA/URh7g/L8ReeYS8sxY5BkZ8pIl8pIceYnLY1ze 4/KkmZBXCXl1H5OHubx9F3m+k5DntYW60A91oQnqSAzqSBTqiFR3jIS6E4Q6 tRR1aiXqVC3UtbaoaxNR14YJPPY45GdP1M081M37qJsjUGevCnVWqssfUZf9 UZeLUMetUMeLUcdroO4PQt2vhbrvK+CEo8AJEq7YC1xxDLiCwyEcbrkKnPNA wDkcT/gscJQBcNQA4CgJd/0F3NUbuOsYcNoC4LRvwGmTgTe0hTnnAuDAP4AD HYADewI3bgZuPAvceBI4sxg4cxFwZifg0v3ApWbApW0EHDsfOFZLwL0tgHuX ASfXEHAyh6s5HM7h9v7A+TYCzpdw0Vkh/vugj1B/+6uPCEEfsRh9hx/6jtro O9SBn7Uw57QDfpb6msboayLR15xCH+SKPugk+qAcoW/ajL7JAX3WGfRZZuiz TqIvq4K+TIG+TOrjjIQ+Tur73gt9H9cncrxNrg/l+lauz5Xy/2nk/1vI/65C H30AfXRNoR9shn7wOPr0AUKfXpPp6/UxB8gV5gDc3ECaM0wT5gw2mEs0xFzC G3MJbo7hqr19gW/zNErdO+D2T75fyfDzN5zk/DyEm59w8xZuPiPOc+ZhntMM +MdcwD/cnJObL0nzqAXCPCpImF+1xPxKnHedw7yLm49x8zTOn9xzbl5X0eec fm6+WlEeGidfUT7V3+WrpP+GXxFRwf01q7+C+6x/al/AzW+5PQW3R+N4UxLP p5LA8+H2+PbgCbwDT6AxeALdBXkNyHM8IsmeQsEebs/FnbeifuP2Edz8XOIN XhP2RByvT+ShSbysYcKeWuJNcTyfLPA05oOnMRA8DU5e5GUtlvQz9tRl9ozc eWfAb/5/028cb5bbX4i8TWlPx/EkOV5fE/AEeoInkAieAMc7kng+JeDJbAZP huNZSTwxe4EnFgx7HsMeC9gzg7Gf20tyezTOb8sZvje3P+J4sxzvtBl4At4C L5Hj0bUCT2YLeDLTwJMZAp7SVvCUOoGnxMm7QP8c6B8D/Y1gzzHYowF79IQ9 +z3Yr2D21Nwek/ObyJOX9qEcr57jRZeCJ+Ai8GwlXug28DQmgafRFzwZbYEn +QU8pYngKWWCpxQKnpgueGJB4ImVQH4C5LMh35vhYT6DPXtgz2TYI/EcJsD+ Qtgv7uWl80p75GLBbxyfn+P/c/tTkWduAp5AEngaM8HTmAKehgF4MnngydwF T6Y9eEoW4CntAU+J40leBE/PFjy9ZPD0VkI+CvJLIG8D/XUFnqoR7CkW7EmE /XNh/1TYf1fgRdTGebsIfkv/jd+43xP43fcdf3evzf0uAfddALfHkd6ju/Ae J2I+8EX4HQPJn+8EHhT3+wZdBH7aLrwXbp4m8QwTBJ4hN+fk4oT7nYTNAi9x DvRzv5/QCfZbwv7dsF/8XQXRP+8F/1QRfm+hK/z/Ev5fAP9Pg/9/x9sZKfB2 koR4k/qyLgz/pKLfE3HfMXF5RszP0nclJchvw5Hf8n+Tn/shf+ohf5ogf3I8 1Rjk5xrIz/7Izz+Qn6dAPg3y/aFfX+BJcry+T7B/LOx/zeTnJ0J+/rt1raJ4 I5PBG0YC3riLet0U9X2fgDcknuoiAW+0B37YCfwwGfhhFPCGD/BGS+CNdpDf IchL+pcK+iWeZKDAk+TwBseL477L4/xWUfz8B4MnZwr4cybw523g1XDgVXPg VYln6wp8myrg59nAw/uAhz2Bn7XBk/cAfuZ43RyPl+OdTmV4kiJ+ljH4ufpv /PZP9YMib1P67onrvwahX7uGfm0Z+jWOJ5+OfnA9+kFH9IPPIO8N+WzIDxb0 S7xojsfL8U45nmRF/fbfnm9wPG2OB26LeUWmwMPnvoPoyshz+jleNPed4D81 36jo96HS/CpEmF9J/O0qwrzrNPO9GPc9Trgwf3uC+Rv3vcMp5vspjk9eUf5z ReeW3Dx8pMBD24h9BMeb4vZxHC+F20dzvAtuf8rt+7j9FLdP4ebGIu/uHfY1 HE+M4zVxPJxS7Ou9sK83wr6e2wuLe8wP2GNyezduT8TtNdozPLfaAi/LGPtZ bj9uDH5COPgJeeAniLwyK+xbud+x4fZZ3P6lGPtlI+yXC7Fflvb7PbHfL8R+ X+Lh7AK/4hb4FRwvjuMlivs1M+zXpH3QbWEflAMewifwEDqAh1AMHshY8EAO ggfC8cS4/R23b5oE/okz+CfF4J+I+z6J78Htp6yZ/dRIYT+4H/tBbj8r7ccX CjxGjp/A8UM4vtM68EMugB8yAfyQXeAzZAh8hiXYv9fD/r0f9u9Wwr74BfbF HA+Z5XszvBp77LUrYa99C3ttiVdwT+BzBoPXsQy8jhXgdYi///YUvJrn4DVd BK8pD7wmib9xXeBvSDzVNQJP9YywHz+B/Xgt7HM/Cftcbv8o8Sj0BB6FxGOp CR5LPngsEo9oEXhESeARHQCPKxQ8LjXwuE6AF/ERvIjF4EVw/GeRf74Ve2eJ 539W4PlLPJx48HCiwcNxBw8qT+BBSTw0OXhobuChcfwBbt/N7WfvgJflBF6W JXhZEi/OFry4/uDFcXtzbs+7i+HvVXT/y+GQiu6FK6qHs3OPcK7aONcY5p5y /uH8yfEhw/G+huB91cP7kt5vJeF7k3lMPHA8f4mfGS3wMyWeXoLAj7VGPD9F PL9APHPfuXA8DfF+STwZjqfkhft7FfdXE/e3A+77ZIE3KOUHPYHnFoB8Ug35 xB75hPseh/2uhPkOohfy4UaBfzUc+fOKkD+vId+eQr79hnzri/ysLvwe8lXk 8/kCn1zK/3eE/C/VCzWhXugKdacR6s5xpk7VQ11rKnzfIfHQWgjfI+xE3UwT +PPrUWcvos6OR53l5swHBb53E9RxDdT9Jqj781H3pe8dpgMnfAdOWAZc4Q1c UQu4YgSDQ0Re8XrgFmkeayTMYxMx13UV5rrcfFj6XV91gW8m/S6xmsD3G1zB 3yWugeft8XwXng+FnufQkwA94/F/c4XvGrjfT675m98fFvcpEj5UM/uf8eEU 4EwX4Mwi4EwOl0o4dpqAY0uBh6cCD+8FHuZ4vBz/isPnHP+wEvqCw+gLZOgL 1qKPcEAf8QZ9xBv0HeboO96g7+D6FK6v4fogjqeqw/CEDdB/JaD/KkT/1R79 WlP0ay7o14zQ3w1Ef2eC/o7ji3L9I/e9G9efSv1srNDPSt+/dBb6X47fXk/o r7ujvz6AfvymwB+W+K6TBL4rx8/k5gbcnIGbS3BzDG7u4SPMSfZhTrKXmatI c5h9whyG4/FyvFNuLsThsek+kXPuK+Ubzq6a+lb53GNz1aqlyjh/9slj9/B6 yryj7q0/X4mX2hUb56Uo8dK4kqnT9NXSKLzHuUbnlHmgnXmjBV/fplNRiHpA wxdy+qLl8uBkYQh9mWTvNr6Kgh55FAV57JCT5uUBLQ2+htCZtge7rrZS1uuI L9rfBsrJ83xAn+hqMhr2SNtkUFeeF+frdmBCNV85Ld22bfq20hAqGzxhvlc9 Bek7xQ5+liinhmNG6TgUhJBhsY9zpJqC4v+q76qjqYxzN4XzCGU9rft6QtqM onSaSlf6bTJPI7clrc+WKPPMyNN9HIqUecY2oPyGvbIuHrs1/0K00g8n85u3 Dk3j/fa8+S2179Fyal7maR6hxI3DT66pcbuyEtdtN6nfspvyvOUXs9fryqjt 1I4L1vVS0CgKOVd7QCoNcXT8Lusho260YnevQOV7D+x2YY1VCrmf776u+QYZ 3azysm+UdQalTXapO8gomYZe7JwUcUdGVce2fK1zNIMGMDy3OIvvU4adTCWN yiOru9rI6KunSZd5mxR0esXbaLUFcmrV68PpC2oyKtw1b8zcFgqaYKptNz1X Tr6z2njUzA2hxbNzSrd/Ud73+bf8GtRJowbH13s2VsbVjcZRD2yzef/se7R1 zoe4ZMpzjdBT2yujS3l9bI4OyKAvJwO0DTJe0iXt3ZvLOodSh7kN+lt7ZtK5 9raOn9fHUWWt0c9DS0LJ9OPD7bWUOKvnUsXMEVqx1Cqzm7GGdRjZ/9lhUaJG zr/4ZvOwX3DAfsHJfNmsszEpZJBz6XPH0TJSrKzWOiNNQb2cvg+53F1ORfJq J0N1ZFS8asxrtZ78ebl4eK/Ra7lLxxha6Os/27P2I7JuUe2pTkgOXS5bYbZb LYo8XpbovQ14QXNjDcsrPcqjh5FWR/pti6RW+uO/rDKLI78pJ2w2+vI8Lu73 tLlzce+Ri/Nyu5Yjh0+Novl+c297eKeQ77D0jWGv8mneniCZ8ftoWh7zSW/J jXRqeFVDsfNTHsuDkuZX/qhTf6JOSfFWBfH2DfGmJ9xHA9xHm513Y9LsEih5 weXB5guzKN927+qZ43heEPd9n5QHliEPfEEe4PgM3PdoeXU63VvbKJmMPi3t t+e2jPQXaG6I9skgoy0N2nnVjSUznce3VxTeJ83d/gvyPmVTjRk+yVt3RlLE qnU+ej/3k0E2uyt75VOm/cCDLT9Ek9vcHO+Em+kUNMx42cWPeeR7v9qi1sMS aK3L8toPNij7+bUDOi+zV9brJUVafpZJpF1Fdj33XDb16zq9zKcOz9tpCb+l CH5bgPe4Cu/RCu+Ri0PpfrUW7leykGeqIc8cZ/IzNwfrN8/8gN+UeKp3fdy4 y49CyTYy6NDGo1n0ofd6Xz+TKAqXedlcufSMFHPWnrvvnUet63SI2OIaRbqT JrSVt0mhMLOyWm+y8qlGZqDei+mxFDw84vu4rRmUYmRuGfkslw7Bn+vgz0Pw J8db+I74X47434/4l+6vN+7vPNzfAOQldSEvtWLys1TXqqKu+aOujezVoVKg VSxtVi8Zbhp7n/ZNXTb17ttsejFxgVWX2Eg6OG5g1Idm0WQ0eeipyrXyqQ38 YCD4gYurkbin+3BPW+GevkG+WoN81QL5qpTJwyOEemSHelQo1PEy1HHpXFuE cxXj/cbi/Wbh/Ur35YlwX6S9vBb28tuQD71RRwpQRy6jjgxCPa0q1NOxDA7p hTg0Qxx2QxxK99pcuNfS/nqduL8W6vsI1PcI4KIgARdlIZ/UQD4xQD7h9rYS 7mok4C5uL8nhtAIhj+nh/3JzMA7XiXhGOm8N+K02/FYFfnMQ7ntn+JnDhxwu 8mHwgxQ/YYifx4ifj4i3+4i3dMTbaMTnasTnHsQnh0tFPCbFf5lwX9rjvhTj fi0V8EAa7ukY3NMQ3NOWuNfqwr2ORB7YizxgiDwwCvavh/17YT+XZzjcyOUx Ke95CnlPypNLhDy5A/l2KfKtP/KtNvLzReTnDOTnVjivhnBeKf8/FvJ/P+Ge dkX8SHVnl1B35EydkupaG9S1AahrUh1sjzp4BHWQq5utUGdTUWfzUGfVUa81 UK+Hol57wD9L4J8A+CcF8TAS8RCKeDBGPN8T8qEx7lct3C8N3K9cBp9weIb7 Pcx+Qr8g/r7ocub3RSv9l35ftKK/I+os/I5oB+F3RN//l35HlOs32yBO5IiT XMQJ14fGCjhZ6ssWIQ7XIA4tEYfSfVwq4HYO559BX9Ba6AschT4iA32EdC9s cS+O4l5I+eEA8sN85Ie3yHsrBVzB9U1cn8X1ZZyd2kLfIc3HuuO+d8J9H4j7 fgZ5TwN5zwx57zPy+WXk847I53tQd/JRd66g7nB9LtcXi+ddgvOeZt6LGA9S 35SC/OaK/KaF/Mbhz5FM/eLwklTfWwj1nTsv937jEIclQhxy8b+f6deOMXn+ IVPvJFxaJtRxEQe2Bd7gcBqHu7g5z/8Ac8v/rg== "], VertexNormals -> CompressedData[" 1:eJxsXXk8V0/3j1CoVLYiilK0UKFSMYok+5JUiFAhUYQWUiFriciWyL5ElpB1 UmkvKYnKFiLKUiKy/Gbm3vs8T16/3z/31f3OM86ce+bM+7zPez4/MUtHg0Os 06ZNE2WfNm06errtjY3ZPupS7rp3MXlOI//XDzY8UZJvAOnlN8tCi932vKuY EzAxOTnZB1L+GnZ4Vb8tV5qny2PtzgotQjLI++Rydr7keT/KZeamVHEvl4Bp A6wj+H20MdvaT6LTK4wEJ48EuG+DUduu5OP306bHnY/u5a5wMhSOil21G6Z2 rrCdQO8lgr74/whir7gwGbsu0MUCHlW0fPQXvb/UXGiz5Ead4iX9M+zDwArG tDySH0XvuSv4w9F4panj7W9suoTmVzo9ZX4P+S9LkT1KtlPs2Vju05w074fi VPvf87A+QutVtJ6y3q0fdB/Vg3TFkCn+ydRWK9w26qI4cfF01P/68wU9bke9 rhz2KzNeXDbeYYnNeAXzfN55jbwPrrofHn5THBoq8LdyCUnCpTkXBvD71+pr JdlWKEPJxGlbrdZrwNEGOV78XpbrdEdBkAGs27u58X2rFVyhd/fMH/Q+1Ttz u+e9/XBV9cyaKBsXeH1Z3tUW9F7k9Eu3SfPdUFGmWW7g3nm45FqM2z30fiJs f8B1r14lLoUes4kDXlDx4oq1Ceh9XfDkRTQe5CfskcfjnS9T43frntqB5gdR e0Pe4PmVJaj5xZ/JfUL2gIf7KHuS9Sl7eNt28SP7gaDwKWL/lY+U/UnVEWfQ ekGCR0MLXq8svV773Q/mIb8o8YsHO2L/vKT9c88gcB/yp9KyvghHWdn/+pP5 TjXGbSROme91nZ73jOBp4lfGn+ODyr4n7mpC5vnu0KbzOE642A/da7Y7Al+4 3VZgj7OHvl1Vt7rRe5nEfe1ZQafg8wqtcU5lb3hJxr/aGb0/+r30TW/yefhh s1N65pkwWCfhtk1wog/oSC9sj7U7BRUFxNvGom7CIOlwnvVjfUCTK275jQcL YLX42/Vs527BozEPizb+7QOnKjT60HigqaHcjsf3PAkj452p+cHU+VOC2D4h e0D3G8oeKS3Kntu7I+OR/cDCl7L/1whlf3HIR0u0TnBKSfwSXu+nI9R6Pws4 xyP/gEjaP0a0f/aFFT6zcmcF/LGf3hxvfFtuSfvTit4nDf33yL5n9gsTl0yc MvG59N2WzdiO22yUX2fQ/pz/03B42VsfOE+n5A9+Lojc9m0eel+a/KBmeG44 rH2o7PB4xQ3oZ7Bt8Srkn8x2Vvn21dEwXdDPo2MwHe6d+Cb+7GcfWD8j28Kz KQS69Zfc752WBxd4JO5z6+4De7YOsyioLIMP4tR3PP2aD19qRm2X7+wDG97W H0XjwWceanxv7y0y/pdS1GY0PwArfcn8Sz52kfl/+jo+RfaAyJlpjtie4KDt xJ7lF0rbkN2Av2gGsd/XZTuxf1/wCj60XjCku6AYr/ca52Oy3th7835brtcA roIeK7B/Ehop/9R1qbogfwLZ53yzXs36Uf6Z9qcLnacybfhlcB5l8tV3ep8H Cwe0432vSe93Ji6ZOGXi8+/MbcSPFSod1divfLcofzqYLnnquyUNMk/72IjJ +B994EGU8t4XmhkwDRyuf3IlH36eoc23sRH5x/fs+/wvcTAkp2m0frgI/uic /4yjvg+8vWJsnqWyCPaMeLQMzCuGaXV10XHovdOYCx4PjswpHMPjVx2YTca/ puYHU+e38sm7j+wAY53qj7E9t1NuEns28n0xRvaDuLYqEhdHlNSI/cYD6e1o vSDEcj9Z74hkAFlvaeaxdOQf8HkRlReNj1P+0bPeswr5ExRd3ycryzu9IlOF 8mcQfU7obXjrgc8l5rxg8iaTR5n8+cSTJQPvQ48Wat93zaH2IxOXTJwy8Sk1 HlyH12l+/a4B9quW6B6y3sc511ZsOJYLmWd26t8jvxr6QPvDZ0+9cuKh2B5P meKEHOi51Oi6AYrPzJNt0cdnbQRyKyuN1mzOhnLyt3sLBlB8UuPB1PGmNgvX oHnBbuoJm862kfmlKXvAVHvc97y0R/aDL+ZJeB9AZ8chYn9IysEQtF5g96Oc rDdl8gxZ75h0XQzyD/D9S/nnVx7ln8pWz33In0C5WrR5YpK7ImuA8mc0fU4b 7L9zDp/zzHnt+E2InCstbtS5JB1CnS+pJ6tJHlROInkRZiVT+XB+TSnZt2Cr lxHe96rcyWT/rkziGcFxlqs9nIbj9N25pSTeXHaeJn7Z2C3UjP0a5L2L+Kcw fnzfO4NQyDwb7zhYWYz3AXlFj7agu7vA3ieb+Y5WeELBrjrz+8ieMC2W/Wgc uLJq0xo8PnqBCxk/KcQjj+YHmwoeku+24go1/5mz3NgecGvtVojt2fZHhNgz IsxShOwHGbolJG8dOlZM7A9vZKtE6wWSa/TJelfIx5L1NtaMzEL+AarCRw5i /2i23yD+Wd2XMxngYgHe2sofHZ9kq1hoTPkzhcZJZk8LuzBuYvCSiecdcq5L RFDnvKc3db63cqiQc6hDjTqX8r5R59EL7ghVnDcfGP0hebSdI4bkT9tBap87 Lx3e+Art+4xqar/HVt3QwHG5+WvVtfMoTteFFpL4FDXgPmiH/Fih6NgWhvyq od5A/Ln7k2WQp7vKf55nlJdtx/tx8z0yHhw85Um+w6I71PhtVNz/dx/Q8f+L yjv/yUNM/kk/LLMZ2Q9WbXKYI4Xsd55RQOyPX7BUFK0XbC92kUhC62Xpfk3W qy+5XQb5B0wzXROQgvyzRE2K+EeMp+35ELACn6ZXIT82K1LP/8Yzg0OZeD7f RcUzXwiFm44EU/HMnOvMOc+c78+e2lfieE5dnoXjAfT2UOcRkzeZPMrkzyQp fhxv8NcVpzy874XWGP0Tz4+pJ2DimfEj41fGn8y4qeNrm29uxvEcmVJO8srz P4pk/jkrp5N4vjlU1YPtWdxD5X/NwTwSz4sdi4n9Wz4XEftVJqh4brNZjHEQ 0DWm4nlJoPxsHM8KstH22D/BLf/GczsVz0pMPIfS+bms+qgXxvVMfj7N94rg zsTSJoBx6EuJf/OzD5WfAZOfmXOdOeeZ8505h5hziTmPOPguk7wszL6E5NGq kD6SP5l9zux7Zr8bNnwicWlh1WGB43RXxi0Sn2rUeDB1PDPvHOrv/Gf+x0vu 1uL8nDVPndgTzEfl568qr0h+zmWfg88XkHltmLI/gsrPll4B7/B6Tbr+zc/X qPwMpubnzjixXYdSuJWY/HyRxhv2y2qW4TqJwRurbk58xnhjI43rn9F4PmPl Z4I3JgqXN2AcqkDjT5d6Cm+8EtF+jnETpPESc64z5zxzvjPnEHMuMefRVd4L BG88NJhB4u7OiQUk3lblm5J9njmc0kT2/a3PZL/z+BF8AiIpfAIYfFJupEr8 qLD2Mplf/oo+mf/n3E8V2A7m2XcnmdgzzaGN4I2CESeC+1Y/2Uns35slRPCG pR47wd3qmhTeWGmTTvDG/udLP2P/XD7xL94oo/CGEoM3TGn8fGvp9xZcdzL4 mamLmDqJqY/ufaHwsw6N651pPM/gTgaHMviTwUkMbmLwkrZ2MjnXLzgeOYrj aEsIFT881L6FzD5m9q/Yu5msOO8ftKDyqOX4XZI/mX0+dXwvhRv+gyMY/MD4 kfEr4084u4zYXW4r3oGfuSoqxP7emxR+jozTvIXXOylE4efkbdGDGD/3tlP+ 2dz0L35eKq3SEKXwQ5HBz3Z0PXj/YMlDXMcz9aA5XVcXezSTupOpN+8NUXVg sLwmqZPe0fXRVhGqbpHsKSR2RdB4vucwhTs3xVBxkSxNxYNHK4WTvHr6yb4s pfcjGy91rv+cEUby4rf5VD48/zKVnLunFlLn0uUe6jxSpHDAf3ABgwd8qPnB 1PmZuGTilInPz/ZU3JSOUvazCFP2H7lG1YOqG6n1vrCl1ttF14OVdF1+aEo9 eF4sVNPnxVtFph6sofmNh+b1DzEvwtTjsRmCpG7veKEwH9fxTP3O1JmpbTAO /x2m3kzUoOrGSLpOukHXRxulqTrnDY3rT9N4nsGdTJ5j8puv9iuCIyerKdxU TJ8vYmqmBPdkOnCQc95JnTrfla2neeFzyFXlBDmXuD9R48XHqbxZNC5O5q+5 S83//BOVB1NvU/a8o/d7Fx2XPmv9if3SdHwyfmT8yviT8UtdiSTv//rHd/He /ZjfuKYp1pmx+b/+lBs9Go15pU0/6vMxz8TwS2e4pxO+btkpDcKLMOM72Vd9 xTyI09dY8t2Y71VH83WNrDxk3zTR++XRzl+Er5NvDiZ5K53OVy+5Kb5OVkmG nBul9HkRdJTC8QqcLeTcntxDndf+fyi+ToUnkeAmFjYKL12PJfye0ozLZ8h4 efp8r6HmV2rRMiPz59PzJ0lQ59ChfP3V2J5E2p6Y/k0kb2rYuhD7mf1eR/N1 3Vps/6yX4eveGLL84x+Gr/shuq3z5GzX//gzRcOvoLnoZcUCB0ieCVbU+Pzv nG3PxUoqfPuMvNZ0hZcbvJ8k71tv5F9E45RkV+j/M/7Ws1oXNF7phVnUUae2 /45n5h8z2kH+d8z4FHp+d30PbTS/IjPe4bQ7Gcc8mfHvS8V18LiS/THk7zDj +V+KEvui6fmY98z4qe+Z8bePj57833kY+0vOLpr37Md/7XlqX7QlZTSnQnik hjz/fKLez216x4H+rcT8d+Y98+8y/WLy35n3RUMzZ+B/C4XJ/fN+Nd+B5Xo6 CRXKZ9esrDgcWP5olHr/ZPmt0vLDgYoK9H9n3musuyKFx2XGat7T1UlQYt7n Zd8m/x5r8HtgbRaoyLz/3jufzDtryjztrc1FePyeGIvvGXb//bvL6XF1G/NK 8N+fas+3ksUl//t377DfEn1jNFrhsoDvzKLSkQoutUzy/tlKs6MqL16VhxVF h473jVWMpL8g7x9za9haPhKBmQKWa55NiMNriV+H8Hv5n2u7+nI7yh1zGs+0 fhWBOS0Xxsjfzc0xupC9EUoWTCzqu7UdGtavuITfLzHOdVe1Gi332DrDYvbj DTD2SXgz4UVPaSVtiteAFpcLjRwd9sP6WImwMfRe5WHO9If2HBUh1+HLoDka 8HvC9j14vNhyvvvisUYwNbf7RfRZe/jBusJzANcvjdNNZfZwVazc0Np61sQY Dow4NI3j+AxSybQQ3wc3c8Sp/0Dn27XDUar1OG9X/N3bfJ61gievLav+tQU8 +H4oHO93jX376w+81Ie8qwdm5c++AJ8Ob5tTiN6X0Dy/zxSe38JL7PB9+elK s6fM4x1J1bGcU/jqzA12t+M/6YPNTzaS+b/8FpuF52/5PN0K2a+0fIr9Kd1S Och+sGXFBWL/n0OU/Y4z5Cce2HMohU7xz9JdhSXIP0B5YQjxD89hyj9v5Byt kP8VL07x/5fp4VeR/8F6+1rK/zcp/2eFi1Wi76toPeX76rCNbELfF5x4rCKC v28K/X0n9xmuR/GjWDolfjrLKjaj+AEGlVtJ/Nyk4ydXe5pi1+1kxezSA6eH xN9UxP6l8sbx1APPq41GlfK96kl8zqLjk/ULT8rtDAn4beOWoQcaS2DJOe9B /F5mtvTgb3U16H5g+KbSwA74RO8MN37vPKe5t2jLQWh/wiFF190a6pnZvhpE 79eLH7UREHOCvHkns+uOnIUFgT1eZei9pVBAvGvtWdhY9nBEhC0Ivtwes58b 44qLcPstXk9YO9Py5BXWCPhCf3RBHqpDQ7K4L96xdYGXfvFvVF0eB+dOu/1m Aa4fZ/7Ln9vT/HnH7DmCP/RcQKCkwyk8/sPOh/MXovH83YE70PzALCKdzD97 MzV/5Le70cgesOU5ZY+gMWXP6OFXZsh+8O0pZf/DRMp+K+/wz2i9oCXSkKx3 8xFqvSOfPtYi/4DjRkuIf9YYUP5Z7u1/FPkTtC7bRfz5hfZnggxU3hm+E5q8 235yp+pW2G/LroLfvxEJ/3lU6Aj81rLfOyrUErYflt7xE73faaCdpG1wHiq1 sB99l+EJZ8k03juH64WHmcccRoPhiR93b6b7XYNdGcuyL6J1ebwTmVv79zr0 jHlzMMwvARZ7fei5+qcPrG0Cg5cXRkLeaSYRTqduw07OVQ6zUX3qN4d9Z5pu MKy8fkioUjEPnoszvLER4XlpBYo/r5zCn1vZzVY8vCUYpIRNvsbjpaBO/SY0 fmj/lr9ofrDm9T4y/6tiKTI/2zbLWcgecC5c2RLbc7mXssd2e9B+ZD84MLQl Dtsv8VSC2D9zjnsYWi9YLa1uh9c7P59ab93w9RrkH/BuWR3xj8M5yj+vFqya hvwJcq3ZnLE/e+0pfwoJ/nzkOXAQftUN8Vq8RQ8qZeX1j+BzynpJ42qH8/Bz z20D41Bn6PPzREgSej/nY/Vr2UPhkG1aZfT8/itwcs7JOjVkD7ymO9NaMhFe Pvdoc7zlLfhhlGOT/280z4VHOjtZ06Hg1fdf5tZkwRqRMF3tLrQfJcsbwgtS oZ01V9Wh9LswJ1Bpq8vnPgBmXGFR746B5iMpbceF78FF0R2d/qg+jfeieKvv NH+eTvNX4izjuze1xYDHWbvnOKHxhVE6xwPR++aYMjw/8Dc7T+bn269I5hf9 u1gD2QMWrLrTiu05UxtJ7Fl8fdqklWQi4O3SI/avez2L2F/gKV+G1gsC7iyM xesd53Aj620/avsE+QdIHSwj/qlKciL+Yb9XHI78CeY83eON/Rn/hPJnpnjo 63ZTZxjk+5r9xEFjGJh0zeEret8wpiyQnHcVfjCuqYlMOgMj51Y9L0N1ysJN r0eq5ybBuXdl1349ew1GmZ7r3ITigc+9Y1RnRw5ML/R++Ts3EV5SnBtj+g3l k62HXKwe5MFt1xJKr1/Igrs+Bs0yROtlW/pCrFkvGzbvvBwhsiUXyvc80mVr 7gOS3adT30vFwpcZeyfUnHLgid8dxrCnD1x1o3jDDTR/Lk/zhy2PapIblWOB vJ+uhioa38lTvKAEjbeW4V+J5gcmVnkxeP6xeXfJ/IIxbm7IHhCw+QnE9nSI exN79BYWDSH7wYkZva+w/Zc7BIn9DmIl3Wi9QPjnPVm8Xh4NX7LeM5ku05B/ wCLFWuKf811PiH9u/Jx5E/kTPNZuIf5kEQoj/kwQMVswXfMcDPh7fSlrrT4U ld95pArj0nW1Hzu5ouDvZe1f1l13hu2PJJ6fRN+RZfEWqwBwG95bNbQ5sCcA 8ptzq75B9fhdbaj+ZewuPOJlairTGglt38aITLaifBi99LvzpgIoVCpXeFwh Hr4TH3+WhdZ78Yxc+EzlTDjdxfHahrhYGNM5vWSwvw+sWHLOvKwxGFYor/vo yxEC+1Tfrm9Bf3eE5s+PTOHPOWoizFTFr4LtXC07vPH4xNQHDWj8kFdELJof rBIrOYzndxOZQeZvMNjUi+wBvjVP72J7Dun/IfZULG9VQfaD3wGLjmH7JcyT if2/KvbrofWCDWNj6ni9GQbCZL3txsMlyD/gpeXFVuyfOLbVxD/hamzVrJrn QJnWCR7szwxtdeLPlaf73cQuX4CTp1/+kcrvVmLb6jeWh97vFliYoJ9+A944 echL6OY8qN1TZvIcnS/ayjkDvifuQK/SzFXndMVgbkb1aX9k/57OZpjmXgg5 T7LnPFsvBs+vNSowakHnrFjzyoXGBVDf319/+be5IDfvw2v3tj5wYcZyHb7M VFgpplsSKqEEvOY71SoO94ETIg9/5p46C3Mj2Zwif6iD7BkxCm8wbqF58z1T +PP6V6Jbwvjcgaq5w8tgNL5/1GzRa8xXiHvtQfODLVa3Ky6i+c+I2JP5u7sH VyN7wEINWxVxZI+p6Ftij9uGrBJkP6ioaoPFyP7p7VbEflV7sUa0XlAQWZnn gtZr9r2NrNfEQegc8g+w/RvDugT55/boI+Ifw/Gz2sifYD1Xx5VNyJ+Xc/yJ P2UWUfG8Ot9qDfI/uC9LxXP7CxsSzzk2EW3oe4H19VQ8Px0aJ/G8uKIHf19w Y4iTfN8j079r4HheH7v+FIoHYJBxlcTDwkyffhzPEcWm+Sh+wPZvP0n8vHG9 ieMNXkh00EPxBl5un0XiTeACFc+OvyNqUTyDG9PfkXiWOE3x57um8Of+08NJ PO8YdD6C4hncWp1I4vlGXl8yjueH0W0n8PzeNuPFeH7hDerYHnBSLfcBtkcZ 9hB7BBM3qOJ4TjK19ML250vEE/srTBX0cTwn3/6ihtcrnSFE1vu9dYLEM5B4 04D9M8lPxbPMC3sSz+rTlRZif1ZqUPGs0GxG8rODscl0lE+AezKVn69sUyT5 OSswCecfkDGPys/TK1+R/HyiOxfnK5BS60Hy1dcHb/7i/JzTkfMG5Tdg/5yb 5LeSX36uOD8X1ak8RPkQGAh5kXwong9JftZPFIpF+RNoDd4j+bPK0JHk51dv uqbvdMoBH85/JPl542eKPz84hT/vWv6E5GedrGZdlJ+BYUwWyc991iIkP69v +x6J5/edWULmtxjVxfaAFt6FOD8DR3dfYg9vzLPfOD/n+xtUY/u//FhA7Le4 QuXn1/yV+DwCoeVUfhZNoPJz7ooZddg/Ph+p/JxK5+dtdy/h/Azm0/k5+l05 wRsRqYfPovMRHMqmzsd3G/0I3pAzz92FzlOwkp06T4vX9RC8Ec6VHoLOX7A0 gsIbGxKsZmC8ocWSKo/Oa3BTj4uc1zx+/poYb7RbvfmMzncgrXaDnO/VPmHv Md6wjJF9iPAAELdVI3hg25dQgjdS4qtbEd4AO1f3ELzxJ/X/588/f2Qxwnjj z26PWQhvgNZVuwnecBe6T/DGrbxUMv9Vse1kfo+Zf9Ux3hAdSf2E7VlpGkfs edrBN4HxhugrVTlif/JcYr+/iTDBG+13c4Pxel9/pPDG3jwWgjfEN63QxP5J KaH8Uzv2g+CN5MWr3bE/g55S/vS9t2Ibxs/j8TKGCO8BCzsK7x2Nu0Hw88Vf BicQPgTdJyh8eP5WOcHPvc/0tBCeBDOSKTx5yn2mA8bPux13XEH4ExxZsYLg z2rrrfMxfi7ZyLEb4VXweEkzwavT4t3/YPwcd1DJB+FbwG25meDbuskFBD/H HBCeh/AwcPxkQ/DzSDXFn1tM4c8dxK9LYfx8bUZhFR5/fdUhgp+XNJ3F84OR iV2X8Pypzgpk/go1G4Kfb8YEEXu4mil7OD2DCX7WqYsj9s/SlyT2s5pQ+Flt bL0OXu8W8SayXq+AYIKfE+waiH9O+1P+Sbv6YFIN4efeSGPiT6tjlD91l6uS enBrzWATql/AY7p+4Xq+jtSDwyfDL6B6B3DS9Y6pMFUPenY3BqL6CBg4UPWR 3lmqHkznYA9C9RTIYvlO6inXpkBSD1qKWdWj+gscFIgl9VfQjqu4XoNbTc32 o3oNXB6cIPXagajPgbgedPx4mQ/Vd4Bf5y6pB42e/8ufX6H5c78UXlIPqu53 2I3Hh3K/JPWgsAaZH0wGK5D5x0ap+TOzCkk9CKUpezJXUvYsuE/Vg+dFKPvL FlL27wih6kG5X9R6V52i1ju3kaoHN/y9Svxz2JDyjwxdD3oI5RF/9tL+VLjC uRjzRXc8NkuhelyJm67HVSc6bDAvJNl2buTphDjIo+t6fpVEwv9wWvp3997a DlZ+pPiB3dFmiZjnYReTnuvosB8o36Z4hklWT4j5nLL7SV7RZ+3BjmSKr3jJ p0p4m4tGj2f9sDsFFEWiCe+xcr4J4Wfsm1a1582+AI4bqhB+JnUXxZ9nTOHP LfspviXitFMbHu+vv5TwLeKf52ZjXsU74yyZP5yeP/FOejHmT8RNRYk9xSmU PRf5KJ7kyaQmsV8ui7JfkYPiQ4oa2sl6z9LrvSj3mPAe7JWzRrF/ymj/HLz+ ivAb7y04VmJ/zqb9ObRheWTX7eTyzKs7Vw6Jv1Fi+BDHiRh7zMsJO89aNt43 pvSX5lW2qO4j/FtRKg9n61cR8ILmZ5bujPfAPNtjZSee2Y83gItPKZ5n1SI1 NsynpbJyugXN0QDqqRRfJCO8cR/mzfasnBd11sQYbJnhSHgnZRYZXcyPbQxl PVv/2gII9VO8VjnNn2+fwp/rPdltinkw/6r0M3j8Lnp8cSfh5ZTWDU8j8yvR 8798nDOG+atNeUnEnm20PXEDAdaYp/LO1p6L7T9P2/80PITwUR0fnf5ZL8t+ inc6fUZs6f/6Rzz2jt6HX0MVintyybNeooK8b3S87NjyQxgGcj1cKL9ZHFaz PhzG70/m7nSsWisHT2bKnLZ5rQwNbnbFkfjnWrWwKGg7dBNqKNwoZwRLzQ50 Yfvh6tpxKy5V6GvRHvT9mSUc0fIRxH5gX5itNdNCDiotWFxouMsGxnoVZw+h 948Cr6/bdqFCKUa09pGZgA08tXdtH34/fqreEfszYgqvOMt28AMLwkkXVxjY pbudg+zzi8ofoffSxuYKB7l2g6v8ZvLLRZzgSN7l79/wem9sdWmX2QlWHTx8 2VDeAvKcvH8A+1/P5oM++4q1QOtIVIvrhx0wqenYKbyuT+pPH7b/4AYO/JXH A7cth2syPIkfTPkd10jbNCrZiDgv1A1ggT/u3iF+E/x9dnzxSgn4Z2nJV8wX eVz6SPKDVKNrqATrDsg8CzoMluL3Jqulu7gkDkDlxb6irCctYcPBjWLDOG5/ PRtJCbGDxd8vHFNtc4HBDfNnfEDvq3jsb8pWOcAAD4Uud7eLcC7P658x6L1K 1A2t2s2HoYzV64mQ3b5wZYv/+uOEzwzwyWE3gGWlbr2zD/rCrtJCPlf0njuF 4l0XTuFdARheYGTuAvbmvoj4OBYDX79w+PsO5duaTerH2MAZUJ9WObneOQT+ qt9ql4RwVJhq1RqlhhOg4MZB7bTM8/CJhd6NFDTPz4PqtbF7LQCPZbepg7IN zBmMS8DnlMZpN8HZ7qpALb3ipuRDDSgrw9WO+0QCL1Y+chpfinCA2JU1pcuh TVU26a+Zpo+zyO+fUMp6f/kP5jlduWKJn19XLM7mmbcTzvgmfQjzRTFW3LsI r8678HL2h0NQcsx7adLHg9CbO+DqL8yX6nI/0r7mDtl3vKjCz7mXkn5E4Xkc LZ+xTvrCQDkD/ytlwXB9x6DcSbQuAyu9VF3dQNjLPpm041UUfKsTm5CJ/KC0 ltNt1jEfGM+3sd/7Tjzk07DeIovOqd/Dqt7KTi5QyXG/SIZZAkzrkQqLHUXn OBvFc9ZN4TnTJ5RhGwgG8q+sR+c35EDHzOBy9R99wPb44dNQMhyc4r7/1UIz FWqZVyx5hHDXiq73c97uugpK9pZZse+Mgj/MqwLdkD3t8uc5ts26AEza1hgK c/pA/zUDBepoXf27pGuPHbAFH6KqDN0y7WCqb2At7her7P3w8oehJmhYYiMr UKMOW/R3Z2L/H084XxpQugIk3Fsv8hDF7Tuj2b+Ivvqhe3xn8EFY1lh1BfNF q5Q+LMf77or2yqKidZ4wc79vxpNuJ8i2LObNbfx9Wbwe1vSHwl/ZGtXjvkHw 3ad7Ga/QuSwQnJwVnxcLa9ZMkqfDggZj4RG0Lwrj9x90joe5uUGnW06nws5H 1rbLfyE8eXH4bURMDNS9J9DB5nIHXrVO3hWA/HPesDysUysYftk93ca4LQ8e AQtcCxFeLdlA8ZwPp/Cc/KdvDz9pjQGJxZlQ1LUI8rNWRpz+2Ae+RYh2qP9O Bp/WJ2Q0rsqHJUc2iBxH9ZpO+Xn77tlJAApZ5x9pTYPZyVbLZ/RjfaC/ldON SDBdT/AkesKSXuWtqug7NuRlHTmwxQcsOylXV6J4EY7XXBbeivxwxqC4vdjR Dnz/rjkTtlrB4lTNzl70XniEty1VeBdomR8QheM24pjLWhLPPn8dzrA4wyDt iXOYL7o/5+WuTvRefankkkNDwZBz7CVnj9gZWB+f0vEexefjivzGNUsS4JLs uX3WGaGwMSKk6jzy50iP+oGwmAy4+7Zrtoh9AlQ4dsn6Zh/Kq9O+KTZsvA2Z 58wnC6T5kH+ig+STlTtS4eRWEbWxd3mw5+Gc3s8tfaCpnS0871MMPFFo9FKu sRD+DYcpG1G9IETznN+m8Jw+m7VXK6+PBaJXF22Wys2FX5RWbuVFdVkon698 rFg2WB18ce2LufmwQma3wPRPfcAt+JniAslcsDve6lK88B3YmOf+x7YJ4UB3 JbvoBemAqypp9c70BBh/Y4PoXeT/iw4fNVHcg7Ejt/nQPoDB+56R+BdrRSdI 4wWwzLX3MA//STgSsmt6BPLb4Kwdf3anWYLzGmuO4bjVV1jqh+sOwWmT+2d2 eMCJk9feYL7oo37X18eYb9Fw+WitEQlFhEQsX/x1hkPpbd2RKG53GK/iVdqf ARM5JLdHXQ+CVjqbyowH+0BbtcBqlTN5cPJCgVYQZywM3rbo+m7kz7c9rQt9 XfPg3cRW7o7cFNidobg08guax2zrmrgTtyHz9HuzNiTrax8olYPtY4tiYcph bversVlwdYtA2HAvyjOuFM8pPYXnLJ7JFeLEdxWsWzvHOSsiAlqsPX77DfLD moy0bdliWUDcLYfrZV0SbOLPmdWL6usP0x33SfkUgJ6b26okuFLhvCtL5mSh +F9yZp5m6NM8IFYdvHLdzVvwWpfM39kdqB6pW95yaigZzPtgVXQxJRR2veh2 WzjcB7TPpXehvA/CUtYdRecAyovKJP+XJ6qytTxwBho/z1w6juI2YYmcSwfy 5/QFFdavXS9A78s820Xzu5W4B4ZgPnq/xljROnr3DbhiwayudjYFGNX2grcR 2S/lMtDtEZcNR0tFy78LW8ES+6/1umi9PIK12asDCqB+cLuVxd8LcMPjKP0E 5E9e2x8Vq1PvQg0z+cqjL6/B9Cbblw/aEC4VVzn6eDAddk7M6vz7IRL2KUL1 2SifSCWJ8O/sDobMs63IJIUV2e9D85xaU3hOp5Am/7Nr3MFKjuspnefXw6C4 Sg3Mv7FW95+RHU4DN56/esIHTsAzizgfSw+h/bjdoir5WwHIG3NXKl7jDyN+ Bi/TQ/nkU6fjolX9BeDO021JWzmuwt3ZyQGf0P76PbRTuHZeFqj+vPPrY9tL MP5dn5bmzz4Q2QFHEs2jwKqnhn17tZxgCjvP8iMoDl+v5liC8A3oP1Gaj/AO 5Fh/j+Acl1vfbDHuWWhH4aBrvBT+KW4Wm5VkHgWncUl/GTF0AmKW1/jwPJUD r9Pez8uCZjM9NRJUL4G2XaI9WujvJurdiJLuL4Bp/j9POpQGA7US+dAWZGdS 4r6lad8KoF6uf+fsTj/goSB93RCtq3FdcbjMcBqcIRQls9fGGSzQWFgrhfzw /preszrzs1Bug8vi7aImYKT9PvGb0GeK32SeDM+5kfXVhOCiq/95ZshZtf1B dorzvZUsHEwHggujpz9TigINx6+tHUF2bo61eCWRehckis5eGjwvDFz/4j33 Hvru8+ZZTKwJKABCpudF6x9cALM4OXcloTixG1EtOBeXDQzYeWaEXDoIur9G 3NdDcfWsftIIxSHYrrLbyttNBjxnObUKx+HRniubUdwCThNrv20obrUO/iFx 23OxVB7FORTUCfNGcQ5epMiSOD+UKjFNFuEhLykKH+m/oHBRr8jGAbSPYIqi Kd5HIIm3meyjsOb1+mjfwQtvDNagfQe4BhaTffdxVTLep/DGFoWXaJ+C9AEh sk87ZPPxvobjnWVjL+qSQN2KYrKvi1ML61+NBsP005wVdyIigN4+s2CM017T PGfQFJ4ze3WszQG9WNA0Yp3iE5sFRua+b+xBeeaISYg8ykdg4ocszktgs50U yUuPlnYuQnkMyJn/5UB5DEDJzSSPcRW0rUB5D1QUrHBAeQ9MmIuSvDeoojwd 5UnQHqegj/IkMIlQJXnyhPSuMpRXwd1ZZftQXgVLT38jedUwZi0vysNgSNbz MeY5I8y/kTw8GWkmZZRmCVeLLLHGfNEHESpvL7Z/uA7ledjyaf8BlOfBtYfq JM+nbphP8NDlI9PmYnzkb0LhIq1pR1zQOQIXXamTQucIeHdWhpwjVgod+NyB j73P+KFzB6w6doacO8nNsmvQOQX/FkXLoHMKxG0+QM6pXcd3vNdViIVirzz2 S+bmgqMjx+LnoXONn+Y5D0/hOV9tyDIu/RkDftV9kV/XWAiOrvqVvB6dm84n N+BzFrzlF8XnLFCspM7Z7n71reg8BrrxQpvws3LfYnIu6878sAed44DL6dAd dI6DQ4JB5ByXT2x5g8594P5iQy8698HTsUhy7mvaTQxbDwUDM1n32QgngPsC 6QQnnA10BwhXgFdsvzCuAFGeFK4oSxaXShPeBf8INJ/GfFGEHYVDnr5cPafE 0Q7WWiUOVrRagdwQCrcYi7/xQDgHfuY/+gThHNB0jMI556StnTEeetDoZo3x 0bY2Che5bWY5jnAUnK0llI5wFAhztSU4Sv1OSDPCXdD/6WQKwl3A9s92grvc j5S86+yJgXdP+y4ScS0Cvacnrd1Q/LfcpnjO9Ck8ZzDPB/PHSsEgV9ngC8KB wHLC16AI4UCxxPUfEG4EN+wC6xFuBBZ1OQQ3CnQVGyOcCVZprjmBcCbQtrMn OPN3k1scwqPgjkcNeS7Jbia4dDy0Ih/hWPBQ481DhGMBz/tSgmOTy5cGI9wL Ql/2JyDcCzjfUrh38+pyJ4STgaCBqy+OW7m9FE4OSxaaQLga5rMMsSNcDbJo XB1eNj6CcDicnDXKi3A4GNejcPiTr0YDCLfD/IXusgi3A+dACreL1/6dj3A+ 3FHosBXhfGCVR+H8ImsKDwmvmKuF8dFPHQoXba53xHUELDR8W4vqCMDi+ILU EbOApbcqws+fu1UDUd0B3gmfHduJ/DPzLcVzmk3hOV+X+s8r3uUCWnKe7EJ1 DQgyspx2E9U1TUU8uA4Cbttav6A6CHQqHSV1kN6im2mobgInwNWrqG4C9Sa3 SN20ZeaCclRngci9ux1QnQX4JYZJndUuX5+O6jGwyDkkEz+NtiWTuoxDw88R 1XEgyvrxPFTHgUgpqo4bHBZyRHUfOFSyUBXH7dfDVN034+ScQ6hOrPhR6ZyC +SKmTszc5d6F6kro+CZ1D6orwWm6rhxu/rEW1aHQdma2NapDwcZ1VB0aKOb9 BdWt8J2i/1pUt4JZPPGkbvV8biyL6lxYKAplUZ0LZqzUJ3Xu2T8R9hgPxQ3w fcP4KOcnIPm/af+TFG8TFygq6OiJ6mhg05DEXov8wEHrhE9O4TnldKvlkxP0 QZZ7/gtUpwP1zd7iuE5/smeTAarrgZWHXwOq68GC4EBS17cuVoiRrXIAt3s9 X7u7XQRZkxQP8OzGgt6UEDsgv6xLV7XNBWyT4yW8QcRJyWdcEgdA18dv7Kwn LcE+N4pncFI74SrBugNsiJtBnhxdFC8RuOTho8UrJYCpuVw15jnv0DyGyL6j yT+LblfsjVV2fi/4Vqkyk+Lf+r0fBUjbNFY4hHo16ASwgD6aD6nfKvS9/Qc3 3M87IhG4bTkwp/mTojfl1uwr1sLaqOybrh92AO1Wim/J3dd5vl1mJxyU5jpo KG8BpgVQ/MzJ+WobD3LthgO9kTOWiziBH0JXCJ/Ta3LhKcZDr6VYCT5aJ0Ph IgFaJ5wyhee8aHCO449PhdLc0IsXzARsAG8gxS99+d5qPNNCDkwUPnM13GUD QvMpPmqFK+GvQN/bZSbfn1kCGTuKv7pV93VOUdB2wGXKeW6jnBHwOkLxXdH5 qcZVa+XAoe2emjavlcGceIofq56oVmv5IQzeavt1yW0WB4M0n6ZN+7OI92sl 8mcF409N4+tO6L3SS436f95fuerE+eHXkNJiwYP6/8vXlW/gJP+efe8p+e/M +zknnpN/qyR5cOFnA/2+XtaczH8xZe4/35HRm017JPQPv/pwuiHhXaum6NBc aX1kFq2XZHSS3+hx43dTIvD/jhm/pf800VHtpPsSjD6N0VHF07oqRk9VYWFJ dCqctA5oGa3/CaZ1Kum0boXRq4SPUbqK8IhBQdyXTt9A9aNVjlM6gKrSZaew LkBhM6UHWJNH9a0VE6pIH1tuPTV+dvG2mfi8/BwtRebnp/utl+i+YCVtjzrd H2T6WD50X4vpZ3UvKCR9Ai5al8f0XyR+10jiPHVfwIn0DZh+QeMueaL/S7nU RPoGjI70La0XFFaTIDw3oxs0b/hL9Go9T6l+DqPrW95K6c8UoqRIP239EapP VP6xlOiBptH6qYO0bkrgCKXveXPpPT/uJ8eK0n3krnMfsd4i8FZAA+7nDy5c TvrULlqUfmKjyjDRU/gVUzoKNrrf77H9OOn/l9VRfX9VuQnSnz7N85rMz7KY ml/0viDpF848Ttkzn+6rVtD9v1qhdcT+TU6U/fKeY6QfI8pm/Auvdw7dt3p3 mYX0D0pdfhC/5dJ+u+kjT/oBnBt1jps2vypneO9g4RGiu5XYRvVhdtP6zCJa x+nxrpT0DRg9ZxTXU6IX3EHrJQVpneSHnh22WN/W+2lxMu5PqtC6vtNv+Ike K7iI0qP97HYmfVLDUkovtdc8n/TnnY5RuqlpB99hfQAca/lmifURwxyUzoeP l9Kj3Od/9BPrU5bFvCY6jW8L2vZgPYFKgCjRUzRNUjqKwgGq37+tK4/M79lB 9f11Y7NIvzZlbU41tqcljOpTb31O9VOnr8sh/dWTdF+1rDKE9MPeKsj14fXu pvuA9dLRpH+zUOXhbuy31XQf53mqMek3jD6y0vVBfmP6Dk60XrnAn+prddC6 5QxaXzsu13cW92EYnW2VXyTRa46KUf3GzbTuNN3ZhOgjT3lfsMf93vUvKJ3k 4VdbtmA9nIQzpe9jK6F0fXuOaWJ9AGxYWkP0Dmops4hOwCZNHutL4IWtqbuw 3qRzWhjRafiteFBcuV4Mnr216T7W+zhs3k10MqknnnpgPcce31CiT2HxpHQp jH6C0VMwOor7sTKk3795Uznp/382ofr+TH+a6VczfeqmS8dJP9JVLZKst36S Wu/wEqr/d7TvJ/HbJroPaA7USL+qIIbj3OE9o+VedN/nHq3zHnxzjvQJB2i9 9z1a97zq1hxW3Ndi9M+asjKjRL/LS+l5e7ZSutm7+ZTe1O7krzm4f65ZTOk8 z1mcJHrE9VfvaGH9wjXOCKITcOsk+gxYwR5I9CMx/ZeITkOhDpZivZee7c4f WL9zYOcw0ck40vqkT5ReCZrROqU9OhV4POjXccB6MVizYZCMr72iRPQoMdax p/D8mxTOkfkZ/QSjp2B0FLfEqf76YnGq/7/2XROxvxnok37wslaqX20iSPWF s+h+qvReSi+/mu6r+lwVI/22v1vk0yePclTspPtuDm1lRF+uQOvlN9E6eQ1a j67tJmKM+4SMLp2rbpML1iuH1BD9MtRaQumW9wdT+t1vii4DWI+w/iql47UP 3oD1GTBMnu0N1oMc8NEgOg0x9wCij+QzNluB9ThJSZDoZMo+/8T6JFhYspXo +xYmcRMdVBt7GtGHtdsImWI92r2RI0QntqpwiOiZjtmlBOPxJ4/MJeMn9ASI vmdRKC/W48DX83LJ/Lb88kQvkmf28i22R9lNndizcrKf6CfMOCg9xeADSucQ LvJ6H+7Hj5hR/X+dOZNkvdF7qP60oF9GMvabsSjVR/4juIH0O/m0lsZMAK4K ObrvCYdFZmPd/8q91D0DjSHqfoEkfX9g5Ke0Nu67MvcIDrTYbsJ68cPDdURf MP9aJtEVWMzWI3rore2nZbG+w2u6EdF1XFOc+wXrd1cvu9a0szsGCvL9JLqa IZgwjvWmh3qvPMb6pgGDFqJrSjsfifVkcFeopy7Wl7my1hJd2RdjHqeQH+qg YO7l4LxTZ6GXahTR9Qk9jSb6s+iSpfPw+LG2D2T826gNRC+1/SilnxLq/0Tm 5y2cje0Boe/5e7E90QW9xB5nrvNzsb5kSFoMYPvjS+2I/aaBc4l+QmPe52C8 3raDlI7CzFiW9PthbuV97LdTe6i+/xGTVtJvVvjaVDfezFKxiu4776d/TyAz +t/fExCYPcaN/X9/I6ULaB6m7l8k0/3XkCm/S7Cc/i5sXmI2uL/NfJcW+ncJ ilX//V0CdwsNou+fS+v9L+tROv/n9O8VRBv8+3sF21N8qvF3ZMk5T3Q39yso vTrzOwbKC/79HQMOIyOit1a5xaqP9VDZrrpEB3WT/n0D0W///r7B/aFzOlg3 PB6Qdwnr1CRDiog+TZr+3QMvJep3DzTp3z245ED0gvDvxbBDWD94ZWUC0Q0y Os6UKXpORsfJ6DoZPSejR2T0iQxfx+gRGX0io0tUoX8/gdFBM32BRGvu3VhX p/6kjOjslNmTif2D9O8qMPp0pl9TF72AG+vD1tV52WD/lIpSOjHm9xbY5Knf WzhJ/95C0v0ConMy9wxeh/1/4I418T/zOwyCRdTvMLDSv8NwwYPS65QVqHPi 76u9ltLt6NG/z3DJ/N/fZ+C8s4PoThacrrmB403OiNKfLKF/t4Gb7d/fbThE x3OIXlraeDOrEhPP9QJXSX5+VDqE8zOIpfOzGp2f96t0W2CdBZOfX3Pyk/y8 pI66X1K2nMrPWmb5JD+bhx4neq5X/dQ9CEavz+j3Gd1+V3Yf1i/CxrWBy7Ce UUCXys/FW3pIfr634TrRR+tcYiP5tlqLys9HhFoOYD0v+H6I5Oe31HgwdXzf 1XM3cX7mE6jAekywaLCAzJ91+VUlzs8bKwM/Y3t6P6oSe4JvaRD9WT6LJr4v AlwUKZ3bHDo/S74dUsPrbZpJ5WcF2XaSn3V03NKw3xxpnU8fnZ/Djh6yezHG qcTk519XIwneyM+9cQ/rgKzo+1MFNN5guVo+jnUrDN5QqfcjeANuCYjC+iwz PQpvTGRQeKPwRdBsrI97PELhDeb+A3MfgrkHsU8zltwfWJR1muj3145QutA8 d4IfYEe2PNGb+7yi8MNVr30Eb0z73rYG66PDb1YTvFE9WEbwhneYaR8eP1w2 QMa/m6tG8MZN+YP4vgJ4+saHzA8fqn7EeINFdIzoJZVT44k9375TeGPjW10u bL8qaCH2W2cPf8B4I3vFmxt4vcpSFN44K/Cc4A1dNkDun82gdVMuNN4oWlE3 97AGhxKDN8JyIgl+HqTvn3XQ985SaPy8v7yI6IAY/Fw2suIOxs8JZ5tMsd7t LH3vye+jH8HP3p9sTbHeMLmKuqfD3Cdh7pcw90rc91H3H873mpH7EBtiKJ1t gjQg+FlYfxPRO1/UTiB4WJ37FcHPuacri7He/NupwwQ/387aSvTccWDZDjz+ QUscGS9oUUjw843xAjL/6rUCZH5Gb8roTxndaRlQI/j5bu52E2y/ryGlkwxR aw3E+Plr0CjR99XQur44Wn8mNd07BPtNktah6dP4eZ6rUW7UwVFFBj9zW+wi 9/QGTnIoYJ0ac1/vJl0PcksMEl0VUw8a8lL14GVeP6IfHD5M1UfxYcvJfaeS c/5EvylF33tKzqPu5xTHCxH97BluSje79nAxuU+S/uT3N6xf3lJF6ZY7Wan7 D/cX7Cb6ceBK6ca/hBaRevDTIUq//6KT0u3PmkfGg1F1Sm/+6zI1vrWb3FcB MqO1RB+9UYGan9HvMnpeRsc7w0Gf1IP1Vbbh2P5FtO7U8TlVD5ot+UPWu5zW Sdp565J6UIXW912g68Fiuh48Upm4XOp5hyJTD1q/PUT4DY/idVuw7i+WrtOf 0fyGjVnLOqxTY/iNRHPqvmLqUmuix5Si6/0fAxS/cded9S3Ww9rQ98h4XLII vwG7xx9jPbJZGsUnfF5D3c/xEmslevCztA68raiL3LcxL7EsxXp86e+rCF/R 7HSU8Bu9f+aT+xBC49Q9CLXRGMJvPNzGQcZfHaPGv5cm84Mvve/J/AOfqPn1 di0g/EbhEGXPN1oX7c1mSPgN3QlOYr8DrePVP0/xG0PGjmS9R2jd6ZVd7ITf OLH0PdFLMjpJE4PthN+w9K+P+/nolSLDb/THuxNeTkKqiugomfuhQ/S90K6B HjusY2XuM+6qo/i3aFspcg+vm75/J29O3bv74VVKdNz36Pti9t8o/s3nGAfR 0XPT+vmXmRGEf9soP4PcY6ih7y9Uv39F+LfHJTvIPRLXPOr+iONBa8K/SXfV kPEn1ajxhd1kflA6/2gsnt9LmJq/upDi32SvVRJ7ymk9+fdEin/LlQgn9u+n 9c9DNP82OOBFdLuMXjeO1ukKDFx7gf3D6EuLnBevwrzn9xvuusXpyYoMb+m5 t4Xo+Y7tCiH6PkbXd/TAawvst5/LSjOwHq2G1qEtDFl3CvvtVB+vP9ZPtWhT /aC0J7rjWCcxcjNnHtb78LG9Iv24BT5fV2K/7R9JdJ7R4QHdn/WQfuhOjogY EeS3FMl787CegvPxCOlHF5/UOoL70At9MpfhvvSuOqofzTH7iwn2T4bjRgnc R9URo/qnBYtb3bB/1kpESeK+XzLd79P8mkj6UmI6beO4T5VN96fi13KRPkqm shvpqzD9lGVcnoQvjmotisG8NcMbd+243ZL48SA0Mtm8Bevv8myofs29nt88 Vd1O8O/COtv8dZ7w7fw80i8TcWtRaBY7A/0gq8aeoWAYaFLyFfcr/X58GYJ/ naE2X2Dibo1IWLiMrxf3i01Dp4eysyvALO60hiu7b0C/7H0CuF8/9PNR1xz+ k6Co/OqAaOMFuF5Si/SF2QMOdOD+5eomCzbcz9yRSPUx1+oPk37bX+0FpP/G SevfnrIIG+P+0M4kB9IvYvpETdN9ST/jYnVuOO5vMH2NG/suT+/wDYKRIY6/ 7/eHwhUnIrJxf7DPbul1+YxQON5199zY4gSYuMitC/dnixTHQsyvB0GORKHF /fsyoN220kncH9c/n/xl2yIr6Hdp71yDuGxotrqCFesT5P60xuI+q9SiQlfc d10iF0z6rQdcOtbhvqCOzKufuE8YS/cH7WR+kj5WXcx50tdSoPtZzpwHl+O+ S8eMlB7chzlA91/2LTvA9/toAhRN52g0jMmANXNzcnF/WXR+hekFzlgorb37 95ozebA9qOIZ7u/nFCQ4ePy9ALOBT9vygAJY836LBdbhsAj/q4srpXVxRoXR KrhPeTyiaSvuW7ax9JN+ZUt3jgLuq+0wOPAT99nYplH9tX5T4TjcBxri0zmE +0I76X6QmJY4a1duCvzOs3i6n2setCpnX4x1CDFZqgZRL69BHr4IeYXUu3Ai dXYy1v9coHVio1N0Yvwh9c64b+fUkJWB+3iunDqkf2dS6nwI95kmzw2F4r7T r0tUv2n5HBM/+fpImOEh2TE8mA6H5+3jxzoiRgd1jdZB9dE6qIdPHBbgvpT+ 8f17cZ/qVh+lNz5N63NEaH1OGK3Pscpg/103FgONb09r1DN3AfsLdoxh/Ubu ma3WnA05kE3jokMFCAYNmny1WBf6cMD7q5BrEdTqmhWW3hoD+mrL07GO0eGF jOrG3Fz45tbBUzPXx4KDGlVSWHd3qc7wVltEBKysFwg34bsKCnj3JGOd2GB1 rt60C+thgJ630Zk17iAmqYroc44tDbc1is0Cv845lkrqxYKS2i8C33v7wBuj 0ekSjYUgrJ9zJPhnDOALdHuL9QwJ42PFZm15wFCrMSdNKRh8z/FSw/13jjsT 2+vMEoDAiXmyQbtcwI3AyE6sgx2Ik+ladtAXdI2OXYlJ0AfBFm5iuL/J51n6 +oCADXjQWlY97lOhBK7KkH6cDa2r8ad1NQa0ribP/qu+iWYqjNax+31XMhw4 m15ejvvaH84PPPm0Kh/u0wqDsr+TgQSv3lqsKxB6tevIx7n58Dr/DPUTYtng Sf5JYazr0M1uKuirS4LT4xcnBIhlAWjxjR/raiYGRMZcwAmYYf1aesFwGjj3 yP8j1nfFhogf+PsuD2zglclQ7EgF8Q8dfmL9xluVKB0ZlztgBjTsSIiJAc9W uIlgvYHO2WNf396JBxoze3apHfMBssqac3F/vGHgt1rebl/wVbGNt2fzYeDr xLIO93Mt4EVVo102AAQdq+GykAMfdO6R/uPQ5aV7bVrToMmfcNWvs5PAYlNP SayjKFoSNTtf+A6MVuUbmyOZC84nGo1iHUtp8NtKfa5UmK/gt0LIpwDIR5kL Yh3RFze/geXS/vDIz9XNEd8KwHR30x1Yn/Y2IHJkyZlU4LO8csTfOR4UbeeX wLqI731r9qa9igJjP7QtsnUDQXpNqj/u488IepEY6HYRCKVrKGtWOYCVmjKk 75wsLyTw45kluOhRPu0QlypQ++lN+qRNrFm7NdMT4ImrA4+iFqQDyXcai7AO p1YySU/t5i2o1jVrbdjTPNDwkqsH66B2ri2y2M9xFUp/udMl3V8A3tw+6Y71 cisj5nLnlAWD24LPAoUnfUH7n6J1WD8Q6ysbq97mAnx7ti+9HWKH8uV00u8O KufNwn1ZQcd+JdynHaXvI8yekbXlckoo9JUMPnluKBk8Sg5ywros/rUl13ps L8HYhUoKnfOywPF3vQpYj2d+jM0Y98uvrynT5ZY4ANokqb751bsGOri/e1aZ 1RT3e7/HUX3ep7YesmZaTvDU2J3YVPMocM5VSwLr7gx70knf19FxgvSBmf7v UZlm0t/ldE9I/t/zdOVHH9J/bZOVaK1N+G//1I4eP2uuJOnfMuOj6P7vt6J/ +7/NdB/2BUfoVtzXZebRgvNO4nP89yt3h/+dJ3NNAbnvYfDTgNz/eEPb+aBR VnTC0Ak0Dkxko3VBwQU1vHhdr+h7AR/oewGD9L0Akx1h7vh+iOjWNGd8X2QV fU9kvqfhcXzPYTyg6RjyJ1zPS/lz6zK2qCeql4DNwJaGrnlZcI/4zHqsS2Tt T8LfC5yvsrqEvhfMOHyefK+KZxkd+J7Jps8cO/G9E93d1PcN0PxcguIB1moN SqN4gNqVrCQeYOn65Sh+4I+yxddR/MA1rwtI/Bw6/nxbZmkw2Kl902V9fwGs Tn7lhXWPc1jW70HxCcwun5VH8Qm9+0a7cXymXmnSR/EMpANevkHxDNWWq5B4 XpJ6ZieKf1jydB0Lin+o8p6Kf80Ogwq0X6Dx3gIltF9gsbE02S99mTfs0f6C i5PXWaH9BbUDE8n+WnpqhEXsTCrcumgM70eoNDaH7EexmjBjj04/sGrk27Lo bwVwa9OGIqzD5PMerUL7HXBfqJVC+x32H9xD9nvD8B0elB9Ac6cMzg+w28yQ 5If4CHMdlE9An5qAOsonsPmRN8kntmnbvVH+gWp/rdtQ/oE7Ran8w5FTbY/y FTwXenohyleQt2ByLc5XTroygyi/wdo3cttRfoO7DqmS/PaDT8oE5UNYxR1W i/Ih3HDYgeTD2Unlpih/Qpm9EZkof8I3006Q/Hmoqzgk38YZxIjURfMNp8Hq 3TpdWEf68Xkjzs9As2hfHMrPcM23HpKf60387FA+B1JB8jtQPoefohxJPre+ /vshyv9AMte+FOV/OM3HlOR/o7Cfyui8AJUCzvi8gOKFUeS88Hp0a565gA0s arI8pHahQum3GXXu+G74yyFx0Bdu8Uk2SWM3gI5f0nnxOXWqdDc7Oteglfqa aQJOLjAixvosPtd8Mobl0DkI5XgE7J9rBcOTHRJ2+D5CTa64iWRjIdSRNJjj 8ykGip2yq8X6+SHhuFnmsVmwtfLO3oeLYiHvxtnVWO8tLDbYryJqAuKFBKve m5+Fr8ceknPZY6eM89eICPCi9hZP7Ggw9Ntl6IdxQvdTT/UNubmgRVOSY6FC LGQZ5r+CdYniHS8NFroWAVnfaJHnPTFwy/ZMV6yjqzP8Nj6zIQe4LN1ZtxjZ CRe2z8e4wr7I/RPCIaCcNcvqvIkLzON358A6pTe03vgnrTeeQeuNi2j+v9Sy vu9/+X87uo+wPu3fPkInzf/HKP/L/7+kef7lev/y/IdpPr9E8F8+/zrN27/s /Je356X5eZ4p/Dyjf309hVdXp/lzhyn8+U+aJ/fz+5cnT6H5cN6N//LhN2je ++m9f3lvLZrf/m3yL79ddvOQGr6HZnZ4vzG+l1boS+HDKJ5F9yaUogDLr/0O XwfTgU0nnPiD8t6T0zEh+H7a37J7Pvi+mswJCpfKqF66jO9Z+e2yS8T3ruJU tAmOdZwZGlQyLww4NFxhW596F+is5+4uQnhYp10M42dQPzCLDeFnkHd9OsHP HZ3irfieW4L5e0N87y2avu/2LsjrML6vBRQvt+H7W7Ed1L2t5x379uP7RdHe PTL4vtH0C30Ez68Q+Vj9+8EF4MB5Z4VkQAFYq/bEGOuuI3xCzFEdAZSvLB9A dQTwuP6E1BHHWmbNR3UH6O+//h7VHWB+VBGpO4SCP5L7def2X3iE79sx9+ye h26Kw/fEbg/fIffGVtP3xb4N3jTA95p0BW+9x/ec3Oj7TYMV+rfxPZzA7GsW +F6OUwxVN5XQOkkRWif5i9ZJ1vX2a3RfOghq95s+RfUXsFzp1Y3rr6M7uEJR vQYOHznMg+o18F32KanX/n55EonqOyB/tfUEqu/AgkkPUt+9PZn1u903CAS+ v9eB6kEQFBBN6kHHWdbkfmD+nW5yX5C5J5j0Q4vcc7Pikif33pj7bm2F4+Re VoGDGbmn1UzXp6WvLf+gehYqnSv4hO8VzSmm6tl34ZF9qP6Fobd561H9C0pG qfrX0KEt652bDMhSv/4U1ctAxYdDGtfLtalak6i+Bv4/wy+h+hp8ubKQ1Ndf Pyjhehx0mHktRfU46H1URupxHivzmah+B6xzPmxD9TsouU/V78tWHn6N6n2g muUpinWa5y9R9T5n491hzDv5aViw4nt7DG8Qxy5F7pXdY/9Ygu+ZMffLFhsN RmL+pDs15Au+FxVH34dSrZqF9d/QOrzjF77HM0OR4jHaUxusMX+y/vPRX80P nIGVHnXfpKnnsqRsfrcSy2PRzleuF8Bvhb+EJ7H/li+H+SWO4OTVMzo8gH3N d8KrKK7UwzwM4H4W2XqaxRkYuVI8DFenvCPmT7RdlphgPe9WG4q34ZMpBZg/ SeG6ZI/1p7xHKJ5H+8Iioo+saUggeklGJ5lH6/RUpuj0Xs08Zi/WsAguPXxt qecNcWi0fQ+J84qv4pyR3hvg+RXbQwQ5tsMeuQXB+P3f8Nc798aoQ7agoydb F++DYhKWA5jHvmO00zpI0xB+OMY1fUegHczU3ueP/b9HYseA/gsjyDW50GmT uSvcwNryuQm9t73hEl95Xge+FJ7vf2nwHDy7Ikr2Id5fzpQu7tEUXdz3LUG2 B6/vAatdW1dzqbpA4RC2ilaMW3q2fJuvZgDSmnrXSFvbQM9BvcO/0fsNHyqU ucd3gMLwGN8Hl/fA22dOBmA85vHqkcH9JFkQAAv437Epw3dupakEx/osZi1f tBD8XvdlwC54CZxmq0x+//MW7TeZKX776Fq57UO4ORR0uqB3QswKXhpytMTn tWkLd3G3rSN0yxWSu5J8ChYtWxP7HL3PvzreuPSjK2zWqvqwa70f3Lz1xpgW /l51KjcN7U/BtyICbwM3X4Pjbzv6bFCcbxHg6JUNPw4FZN0MVkZEwcgNc96b o32hoUHp3DZM0blxHTivzbLGBSSu8vtb6+wNKySarc+i+aX2nrtsq20HWD0V l3E9coY1K+5UfUbvKzkWbGl5vBfM/PT8i02fGSzbNr4QxxV4Nb/hgY8yCM/k 70dP6N903g2vN7Ui6BHyC2B5dlsK+QnOpf1TntO46su4PxRQqq/48vQqPKwq bqSI7OfnFE2daRUCjwX1HGTTvQnbkgRKNqPzyFM1TdHBJgR+WfcpwyMsBVZE Xt5Uj/BV+v3UtDcel2D3oWPq/MW34W2X7znR+HdpeCi9GZyiN/t6i3dW4xNv 8O5ZW41ioD98xXb0a/8E/p1tx5LJjJPgnlndGfSEQuZXorH//W6GvUDrBMOu YkZo3XDJdmq94UdGv71lUwY6O57YoriAf05R8fBzgKX4nlQCrHRUFSurSIOL EuofqKA8XN26PdVe+Ba8f6Tk8QfzXGg4+r3xEsJXVbr8+1y7wuAFpdNzdy8p gFb5zhPG6NzpFfv/dVzsNE81cwpPNajuPH1boD/g6b+T9vmJN7TbrkbWtU5k 8Dr6fuDTsUP56HvCLT+yyHf08lc2QPENmgbW6qF4hzZeVJznJinlqCH8mvMr tqwzOA8W9JTGZ6C/G3pi5dCtLTfg9wEBW4mZBVAw9HC6NMKl40b/vw7qEs1f jU/hryrcb12oc/YGDg8mjqG4g1s2V5N4OzomMwftQ5R3nn9H+xLKzNIn+/HR jOIbj7bEwKPJ5bzXozPg2vsfNs9E39d+BtV37pyiC9Kdcr+P4bUUvzWLof0P 5lln7Uf5AI7nUHlAbu//r3txpfkuoSl812Trs/Ed8lGQJfZFN/9vJzD3csHY Mdx/FN4jkOxzG9o4cVuGHfAHM5Uuq6cgO0UUZ6pVKhTAvZWGCw/EXwdaEUtN nyG/JbI/051rWgA952Sf2+p8A9hHSYuoID9LHZxY3tCUgeqQ8x9vnYsCXZCj fyWa54VVtRL3jstQ4vEM65bMyyAjLyFLG61rpgWlx/g6RY/BmnPsuXU0wiUv GtTZHWOAVdT2Y+MoDl1S1cuEZxaAbd9v9QUb3ADdoYpZUsgeLjM+D6MlBcDD +PjVA61hILd0xbJ9KA6l9lvybSy+DYa+2HDesr0ETEO8XWKQPRcflD6SjYgC SUu52lzcj4Nncww48P+/hnWvmx+jvAxqDv2q3BGnAy61Vq3D+Zm5X+Y9hQdL T+RfF7k7GR5QU29M/hEKPsmdSXBH33HxIEfbNN9cWMNj/mRZWgLIdPlUb4Bw l6zbEhHVxnx4o03ib2JPBthodf9AH6qbTFbsqLb7ngUT0rSfmn7PAgHnlZ3+ YD3etP6bPkeiYLrSJZnXTRmgpsj32v/Vce7/VGdrHO+yRUNHF0wXheSIcjma 3EqrRkphJKKGaCJF2S6VKdKFkAojl13s0kXaiU5IocaSTCgvak66yF1qjBSO SY5onmd9v37g1fkL9vf7Xev5PO/3Wvv16MHz59p+/X8Lm+aIi/6IzSGCpUkP l/dJSKHT2Eu4/5N6gv/V4pZNajbUlwTOukC+OD25h/W7VS3i/c2EdOIl82Np 9I44ErLTeBLmUr0oOV1kGk/GtqWKXHftIwkrBzsxn83O5LRBPyMJHaWH1z/a QELTG1hfG/jsandBfIVWhAytz3K6SKpuOCpKwXPKuJbPKxJdp3ssAzzzRdfJ 5asRq3NhXcpmzSkv7cigIY5yO4zrc4l28ZIt+B2MFX1+FgaJqbrVwVhplzxC +oRnVsDzl8Z8/f8D4yMcNdqLJGRPlvfeZ1oXSU/I5FjMq8kzMgU2tueI/oM0 wwXucWTxQd00zOEOs4ZyB4NjxDHWfNfC2kDydPuXAexHC/z9raB/k3pB1x3o 52SbgOvj/dan78L70EKBxZZ08RWyt9dlCr6Xw4F3qrqSi/R56OpTEyKzida9 tge4vkPfK3XFZCTR9dRn1X2TPOJlfSyyrBnnrHL38jdG3ctv9m599aH8F1Ip 1g/pHYwiy2qD12Mf8Zf8GBh3eR8J6ywMf+/lS+LdVFg/PTy4wQn4gzjuatgE PEI+aXEcYlG5yzer8xT1XTl4+7zDZeKbl5GC+/D+40lqcjujaFOrvXNBeCY5 t6hNdBmevzKOu7+uHXV/feeScTD0dVL+U0g09Hli85Dr70T17VbgISKOiO0W HTUk1YYcF3m4PM617A6gT7stStYshnr/pV8ghDry4e9tO0fd27o7enQfFM8l 87MHlgN/kQM8d/2/e8n8viOMz4zTtBmvDXOaUMNg4QzIr2pNQS38LtXR7BjA HKvmz8GejToHc8qbnoA8ty8zWg75rpznuoiZ2onIMdYJYVnINa9zuPedelHp YQbk4DfunjKFkIu6Ab9+h3n4wzsP/M6k2EelAr4zfbo6lfvO106cQS6U11nt hZy4VJlbF/3s40mwjtTWSJAE60h3vpvD1rHwpOKfsO5UymFFFKw7Ldmyn627 lJ/sdiHk7PSaLZGlkLunX8avw7z9d66CBuw3ss0kXwT7jZq7Pmf7rVdncQHW W3TExp2wP2nELUe2P1OWSMUij3Zl6xYjn+Y+2sj287aUcX/A/qfNbbpC2P/0 RPsg2//+USdmQb1Q98bNJlAvVPnmfFYvA+FBOlBfdK/QKRDqi9ZKJrL6em11 XOIKuR/tqZIiA33A+aChNub/JmmXKqhrIvN7uhfUNdUNMmB1nRajhDlA/BXm bYccoBI+Bwbz366C3CAr4s0dsc4OnXRhuTGvsVnZBLj5+Z6XYZAz9KoslzOl ffoUconmBogxl2jdqX6WS2vndA1CjtGQgrH3IMfovs86LMcK76obQu7RS4oz CyD3qKZfJcs9Ja21dyEnafL5nErISdr1rRTLyY8HCstioW8lm8Z+rIA+tjBk x5gF8DxmkqqnkM/EJHjqI8hn6pZnzPJZJJuMeU7mvln5EfKcutnfZ3n+xdmr HvKfWE8Rl0L+U0vvdpb/41qvq0K/IKbXbLFf0ECNcNYv0hcvnhYJPtDYlqlf An6wWUbEvKCm/9Ud6FPUTvKizhi4eLra3P8gD3/f+6uTIfDikWepGm3Aj9ej rU8hN34xHbqLHPb6wKLpvsBlrxpqB5HHdt/7MEEFuOecbplNOHCQorGoGPnn m44JV3yAS4KcbaNSgVNcH+3wQD7x/u7ZlAbo09PqUnfKQd/e35XL+vUl2QV/ 1UEf2ptQpSeCvnSwVRyG/WjdgzXL5CGvVa7+o90a8rv044aTmNs2h92kiyEH zau7Jx+CXFRI/HIK8/CCRevuNMgjzRaZ+r+8o2iBecY1zKXIbbPbgE/IOo/D fhaQKzfnl0phnlTz52Ddo87BtPj5ouEhI+eL2vPzRf0DOG/4gZ8vas3PF3XO Hzlf1ImfL+on5OaLHuHni47n54s2JYycLxrGzxddq/71+aLjz4ycL/qW55th 3hnmnHf8HFEVz6/PEbXZMHKOaCA/RzSpZOQcUXN+jmiqaOQcURd+jmj//7g5 oln8HFEHfo7oIn6OaAw/RxRw3RE9syPIfjN6Z586x5nvlJut5gOHycYkHj8J XDaj7NJK5LHNDxut0T/V1VPa0EeF9ZyHTm/RPAecTF/oPfFEPwvTqmKcnDFZ ryUDuE11crHCXOC4oOjQJOS3N6cvZgO3Exu3l8jt5NjaQsbtedvjYtBje72D CXrtof0c50dHHM1Fr2v+1vw8et7WW5wXLAlOUwaPoHY9ccngEcQh3oJ5hLtG nsATuHCa4HwN1AepUL3G+HDIKEsCXkNcOxVLwGvIWYePzGuy7SPzwIPITPm5 M8CDSE57E/Og32qIEvqzsrKY+XQV79EfWlr70CcjiktM0C/lzTjPul2t9xh9 bJ269jb0szeunJcl77KdCR5Hs2U25YPHEc3bnMfd4c/H1Eadjx1Qkx46Cfwq W+GsogQ8mykrnYAcW/GkjIBXEmpxJQW8kkySO828Mt9wQjp4KBH0yFqBh5IV hsrMQxPLG2aDt5Kaotwb4K1Er2Ye89ba0Ik96P9GZ4LZecDwOUCy4RDz4ez/ Cl+gH0fyXqxxTs0RfdLyiM9t9Mu0Vdz7GluZpqKnLbfplEZvM3DjvPvmdS17 9KVPb9Y1gqcTO6Mmth9+3u39T3/g71XWgVvB90nT8qUyyOGFJ6ZdsAfuXGbt W3gCOFR7Yzs7H2hqrX2pjtxmuadgDXDci1tn2XmC/JNEyZ/ASY1jlBRigJsi Rdz5w5yhZlXkmEm/mRkh1xRN8mP9vX9PDPP5K4MzmN8Pe31EQJ43+nCf0J35 8QDvxWcVDOzQM0WhalbonalHuX1Yre/6Hn2vIdbggw74X6I6531JmXKe6GlT +9Q+TQRv654txeroxZi0tegVd2+qmqFnZA6WMb+o+2lqrx3wtMg9zxT5Ok3M nRf97q7hhjx6ellt0Urg03GRHJdKDe02RP6bkKNpgDz4yYDjDa+Hs98jn4WW nd+CvPae57QLHpWMt3pcrBh/DXOXhL+v/DzqvvJvtNXTkQ== "]], {}}, { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic, Automatic}, FaceGrids -> None, DisplayFunction -> Identity, Axes -> True, AxesLabel -> {None, None, None}, AxesOrigin -> {Automatic, Automatic, Automatic}, BoxRatios -> {1, 1, 0.4}, DisplayFunction :> Identity, FaceGridsStyle -> Automatic, Lighting -> "Neutral", Method -> {"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotLabel -> FormBox["\"t=10\"", TraditionalForm], PlotRange -> {All, All, All}, PlotRangePadding -> {Automatic, Automatic, Automatic}, Ticks -> {Automatic, Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{ FormBox[ StyleBox[ StyleBox[ PaneBox[ GraphicsBox[{ RasterBox[CompressedData[" 1:eJwVV1k0FWwXLpFIg6SJiCgikkqfD4+KlCRRyZA0qMyiMpSKEKlQSF+ROYQo aXAUQojO6AzmMzmDIqEk1X/+i73We/Fe7PWsZ9oaxwMdvWbNmDGjVTIzJfP/ 9+guglmmXh+2PBWXLmHWgPv3dpFD7wBabApXnO3sxa6SuPE5QzWItqpJhRQb 2TuTJ62u9MKlQNPs1+8arEoQXDVYy0aodQR9mW4vfLPfXvuykIB3HUr+K+3Y 2Gd1suozpQeRD1w/9q8mwGORpYvCWTbW7LC/U3epB0np3xdRthDw+5Cf9a80 Nv5s2xqUuqYH2Sl3XBt3E/DgQYaR+A0bnZaa9mdI3Xh20yC32p0A04HGlax+ NsqgoG8W0Y3G622iokACWFqjci3SHMRYfJdbqNUNevQpowfRBIR5r/xercuB u/mAgNvRBUGkVPitNAKWlO/mFNhzYGzW1vQytAs/w7LqrhQR8OLb+U+pIRzM /bcqL1GjC3PPmc4JriHggEnum2sZHHD+yYo6+pGFlYH0fSc/ETB28VNhcC0H b7bGHzU+z4KBT/C9Q2wCUuqm7hzjcJBiEmwuq86Cpdf8/l3jBGyQWXvFQZYL 7y3uKt0tTDh6lqz5V7YWxN1OvtDnwnLzzp/lwUycdNsZsH5FLQJuX3E22M/F sk0bGNGqTJw/xHmhvr4WCtQnO1Ze4GJk44oXh5oZuL7/8m9Fy1o8Wco0VHjA xQcj6bvrghi4b7fCWtqpFrbu0qq/3nGRtWE46M9yBkpsqm9+96qFMHvDHDGP iwuGTHvKezoI2x1pwrBaXOe7jzPleNhr0KBf6E/HJ/Nhle7EWqxZlzDwwYAH rfWl8hFL6RjYeuNER1YtmgJetFc78TCtly7cW9+JUeM1T95V1uLkc/argjAe aOuuNmv4dmKWYcO3ysZaSE3OK0jN5OGJrk/+xOJOKK/zMM1n1CLHzDTlWgMP 0ToHolvf0rBWeyoqXVwLy6hTkcECHlzXWnhmnqFh66r01vjftehruuN9TIGP jWt0LM4uosFWZaPixYVvESn/7qCDER+3W1XH2hlUFMrrTfgkvwUpa+1zwn4+ HELTOJ4vqSjlpBLXhr1D7Mozl3r9+VDSnk8ZT6fC5cjfA98M62D6sMj6TwIf dEpcffwFKtx2b2og5dVheIVovnohHxlX/1aoHqLi6GZvw6dL65F3X5eJBj7c DMKyKzZTcUwj6+GtxHocXuaT49nHh1rP1yQrZSpOzqPK+f2tx7x7JT5RU3wM JHhfYY5TcOanbKhtSAMalIeMc5cMIs+EE+BHo8CHb8bTETQgNFXvd8PGQXjx XT1mVFHgTz67X9btPfSV/Jq59oPQuUvdm3qXgqDawrf8T+/BTilNkvYdxJCl nblOCAXBxd16jdsbkbbwy2Ht64MoG27UJzhScCFt4f3c6kbYJq3X3Jk3iKCH 5qoOGykIi7KeHbWuCX/nBQydejeIjbbVc3mKFFz0jwg5mtWEqpvlVde7BzHx w+BX6CgZl12eDpgvaob33JHIoh+DeFXwWDyXTEaUNW+valwz1G4Y2rQqCRDh tKrrUQUZMUbLa6Z+NoM6J2ih2FAA85n3W42TyYhbaa/D8v+A+OsVLHk7AWY8 VXz9IZCMBLlraS/ZH2A2ezRX74wADe43itz2kXFz4qVU+sEWjMYY+dnFCBAj PytjxICMZPbnwHOtLSicFbzZP1sAm1cXr1+bT8adDo1eR/NWuEU/+3OLIID8 qfELS4dJSH99yNaoshULZ459KGcK0K7kf+pJBwkZBYkvF2i3oemKcQpxXICk ev5BlJHwIKVOazijDRF/Qly/LhTCMdDDmnqThKzIiZR2hY8wiKxarbheiMUr GZtO+5GQ7b3ub8nVj+D+Gv9stFsIRts+rV97SMg/eNQvYfwjMiI2Vzt6CXE/ rEUpSY+Ewm2prNNn2rH35/krIVFC2Gec12bMJcEtf3+MVG87pPqYJ40zheDF HkiymkNCx51j7bMDO1Dw7MFTYrEQESHGPyulSRL9nF08d+Yn7LruMeVbLcTC Y4tOqM8k4VlglPuCu58w5KZhPee9EHaZnPvLfxGh5ZGSr6RNxO0NvKR8ohBh Ydn+42NEpNvlfF76kijxscddlj1C5Dt5bCN+JiIm8/CK21okUFne2r1CIUgG qsolfCJqUz0tkv1JuFCuHxQ+IcS0XJcwpo+IycQzx+9Uk7D82sgbZSkRdPj3 CEcZRBhdC4pL/UsCwfmZzLP5IhyoO5hsSiLCJyKsJH0XGUf1zzvYq4hw9YHS SeVWIvLOXv2UkUKG1MytD8RrRSi9QDb5Wk9Ez5n4b/91kVHQOcWP2yQCa3/S 3I9viFD2TF6SuZoiybfaDau3iSCzfm9/wXMi7J0zTB/5UTB0+erFd3tF2DBn 7vOrpUTE22d75Lyg4LbTjmY3VxHcuS1xbgVENFgXRef9ocBIZ7bi5CkR4t/G uW7JImLKrKKwwIYK2nSLW2qICFX3rQwU7xGxadOrtsfJVISSEws3XBWBfU5K 6nMSEf56dcPFLCpWFNqPtt8UYZ5DXWdzPBGFmi2LSjVpqI1QNPO+L8I/epeL c6KI6F9O2lLuS4PnPlqcTKEIXrPNIi9FELFMkelaUUXDLK175JxnIqSwfzo4 hxCxf87A5We/aSicdFG1eCdCLeGl1kY/Im7+FeRW7ezE7g7V010fRRDdOz+p 4EVE4/eR5uqkTnzO6a+8wBRBOcS4XXCEiD9ffohfMTuRdCF3ehFfhG32o48a DhFhwv87v0aDjo17vGyejorgr/s0JHMfEUE9ssa1PnR0quvc2fNHhPvS/jZh u4gopi5wfvecjrBxcY9AXoym/nUqTtuI4LQtvVg/TceK1rK1MUvFmOPLe/Ha VrJ/De94/XYGuL9XsU+riLHxQOgln+NEaJuXLdGJY6AqVj/iveS/u7n8DhUJ DlNvz7fdbmUgdt5WJfXFYsSuyZRrTyGCaGlxeUKBiUNpO0ojForxdMEG0qVi IvIbZm90d2BCZ+U+a7qCGKzJhvT1Ev6EWxH5DXeZ+Jnv2mckJ4YU5+CRPqaE J8337usymGjTPxV6S0YM/Y/C1UlfidDc5bk3eQULD6rOLhTNFEOvy3xCXaK7 H606M38cYcHPLLLYSoJDnf31w5MLJDrdM1p1JIcF88b47dlTIhx8T6ohqZCQ 2/H6TCOPhfl2qd2/vosgNlmhXryWhNB90ap6Ol0YoD465zwmwpXSE9FRxiTY kW1JKb5dqHR7Mu/5iAhKGmV8F5CwykkpZrK8C9Hc6sL5n0UoSvu+a6PEZyZo 3SZHv3XBybcBPkIRzOUtS+WdSWg7lD/UtLkbWmMdzCaeCJTLCQu4xyV+xfR7 pB/ejYkI1lkNtginxyjBNQEknHfd7HSX0I1mKb58ZK8I06dV6XcjSLDt+T17 6m83Mm58zWOyJDzs8frHL44ENY/mN547euC9aNpsE12ENfufPrS6Q8JY/+2A D3E9MP1Plp5EEeFN0+Rf1SwSWo45axq09WCuplLg0CcR9pluPzFRTEImV52e Oq8XPcVqc2wkvOWVJzZ3vCAh2EuY8MuhF2VG63JyP4gQvrpTt7CehJ2CCvPj qb24/Hqz6Z/3IszPULt1WeLnqt7hoy2MXjhs20Z1qRMhT+HM10MsEkbF2woM Vfqg0Wrn94IgwtaoSidDPgnNfvIu6R59+OZwWEbxtQgdE1PVsqMS/x+mKPzO 6cN75oksvxciHPexWjEwTUJQ0IO6E/w+pHoGmrRUipAc4p1vKEeGBYN+Y5lO PxTl/z1yuUyiF/td+XfUyBgrp8hbHumHulXxv/89FGG37tr8CWMyiuI+3Th9 px8Gl5euqE6U4CY9O//wbjKOeLTJJ33oh9mr2ElyhAiz+nl5NR5kKG5pvlE9 3Q/bb2P0L94iDLx+n6d2jgzu7GMyI8sG4KJ//IWciwiE1Ny8qAQy3n7zaIo2 HsDpU6S72rskOg2MyuNlkZHR5x67xH4A57MtgreZiHDB1jPPpoqMkDZX65Iz A4jpKnU4skYEJ23klbSSsbf6sIzFtQHcWaxiGK4s8c8Zannz+slYm3uoiZw5 gGz7hHlp0iIodE/nBo1L/Pr2gVivVwN4Gv9jqGJMCNGL7lyqHAU94Y7WPykD qG3wamvnCNGc/CZ3izoFL70cZG59GcDHaWqRkCxEnu/93PubKEjZb9+0ag4b XVu2X5euF+LqzrDc6d0U+JnbxVZpsiEMqvBaVSHEEQ3n3KNHKbDRtbXeZc7G 9xI1K7NHQphOb85tOEeBhvIumR5nNqT5NzUP3xZiCWNxrvYNCqZn7GwKDGZD Sf3XjHORQoxVjuXEP6KA/nlH7KxbbGi4ePcn+Uny7iYlZ0jSxyqZ26zvPWbD 8C6j9ombEGWnK3Ps2yhIbISMXgMbFh3WDz/YCpGwPTmnsp+CUxXmTW972LCT rYrg/iPEqZWBOYsnKLB8+G+s4w82XLdpuvzVEWLH5N6cUHlJTsT/Yz2oyIH3 xWQTlWVCrKLq53SpUzERYiIToc9B6Is/yiaykpwtm5tjLumfxKObm+bZcBA3 4jfu+F0AVrw4O9uWipI9xrE5xzhI1e2mBPAFqD7Rmj3Lk4oYEyPrzZc4yD2x u/IGTYC7FkXZp85L+u1qQ5nWdA4qM18mFb4XIGj59ezWG1SYLljf5F7JwVuG dkDDMwGyguPks/MlPbmhaNbDDxx8qBC0r88U4Htmnd63eireXfWqCe3iQGq3 a+GXawLYt07ZWfVToQnNEKcvHJiz26+U+QhQOL4pIH2airjffesMZ3ARFg4X //0C/FYPTBIup0FU84Ajr8TFc8VnG9dvFeDgnuIKUxMa9kYc/m9Qm4vhYi2F L2oClF3gkm8eoKFiq7Jjw1YudLff45fKCCCdu3Ks7ywNi3+Q5bL2cHGyS+6d 3+dBuHc4LzZKoklwvF0f7sHFo+BLGfrUQVRNpmy+VkpDd8ie8INnueiSHzn7 +fUgFLTaD3W20mCxcY6RUQwXynnH9pRmD+LEvtlhawU05H5tFCrc48LhX5qW n6Rv10RY3g+X7oTM06hsYTEXidSdf/QCBqFUGPHmo0YnvP0tDjcSuGj2fc0Y OjAIH3JV90p0ol3v14JsIhdS0vqVT/4dRMP08HSgeyc2iF9+uMjhwvxh1g1f zUGo6OiqNYR3IrXo3BXnCS5CNyme1JMbRLDTCSy+14kfp4xMjOfw8Kz9mvnQ CB9tlzM9T1V1wk17eHi+Cg9fTn5f8oTOh2YJI+oVuRNvuSWF4vU86Pw+89Wn lo+ITsU8+ZFOaOae9mi25OFEWnfrunw+yDPsGt0V6Ij11FqSK7kDs9bb54lv 8KGrH8cv16VDpMbuiDzFA6up7lLJWT6inOtmz7Shw643M9YlnIfFHsaHfA7z wYyeWut0ko6KB67mm2/y4PC9wHAd+NhQvml3QRQdSq5LJxY+4iHx9jI5sTYf 8awAnx9ZdIQuo5V+ruSheU0ip1hyDw5IFyfuJtDRRU8+2dLIw8x3v2u8x3jY uoFb+oBFh0XaXtV8Bg9mzkFpul08JLmt/PTlOx05TvK0K2IeQkc4AaI6yV6R pl9oixlwV+fv5EzzQHX0Hgp8zAOjXbBTxZQBL1FKoZUcH0R/8Sf1RB4yVNOy jx1lIPC5xezHyny0x/s+IwZI7la/7VOPYxgIixzyktPkozXvc9oVRx5UCSNO w8UMRNlkNPka8NH81j/ccAsPfXMzyzYRGbihaK39yZSP96xh9/7lPDxys5W9 OM7A3e7RmA02fNSNB1om/ebi2JMfnvXLmXhYkMW748RH7YLR1WBzsfpX/htZ MFEYuMdq4igfb9YFy440csGzdVxsf5KJp/9M5jn78fHSekycVcRF4X9//VMT mHg1q2DWmzA+qjzPfbK/ycUZcemHrnIm6jv2n1CN5aPy4kTln0Au1pm6amjQ JH3o3p+Gyyl8lKdfSCt34mIoQfbi6Z9M0I490WRn8vGk8keYhwkXZawqWpka C716h6N3lPBR1B7mPl+Fi0Dd4wbjO1gYnJDmFFTzUSD4ibd/ONgQviDe1JuF kXeV2+a85yNX6uLqAA4H31oI7Ku3WZhM8MjxIfLxaOX0bLVmDv4HaomuPg== "], {{ Rational[-15, 2], -75}, { Rational[15, 2], 75}}], {Antialiasing -> False, AbsoluteThickness[0.1], Directive[ Opacity[0.3], GrayLevel[0]], LineBox[ NCache[{{ Rational[15, 2], -75}, { Rational[-15, 2], -75}, { Rational[-15, 2], 75}, { Rational[15, 2], 75}, { Rational[15, 2], -75}}, {{ 7.5, -75}, {-7.5, -75}, {-7.5, 75}, {7.5, 75}, { 7.5, -75}}]]}, { CapForm[None], {}}, StyleBox[{Antialiasing -> False, StyleBox[ LineBox[{{7.499999999999999, -74.99999999999999}, { 7.499999999999999, 74.99999999999999}}], { Directive[ AbsoluteThickness[0.2], Opacity[0.3], GrayLevel[0]]}, StripOnInput -> False], StyleBox[ StyleBox[{{ StyleBox[ LineBox[{{{7.499999999999999, -74.99999999999999}, Offset[{4., 0}, { 7.499999999999999, -74.99999999999999}]}, {{ 7.499999999999999, -38.414634146341456`}, Offset[{4., 0}, { 7.499999999999999, -38.414634146341456`}]}, {{ 7.499999999999999, -1.829268292682918}, Offset[{4., 0}, { 7.499999999999999, -1.829268292682918}]}, {{ 7.499999999999999, 34.75609756097562}, Offset[{4., 0}, {7.499999999999999, 34.75609756097562}]}, {{7.499999999999999, 71.34146341463415}, Offset[{4., 0}, {7.499999999999999, 71.34146341463415}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]]}, StripOnInput -> False], StyleBox[ LineBox[{{{7.499999999999999, -67.68292682926828}, Offset[{2.5, 0.}, { 7.499999999999999, -67.68292682926828}]}, {{ 7.499999999999999, -60.36585365853657}, Offset[{2.5, 0.}, { 7.499999999999999, -60.36585365853657}]}, {{ 7.499999999999999, -53.04878048780487}, Offset[{2.5, 0.}, { 7.499999999999999, -53.04878048780487}]}, {{ 7.499999999999999, -45.73170731707316}, Offset[{2.5, 0.}, { 7.499999999999999, -45.73170731707316}]}, {{ 7.499999999999999, -31.097560975609746`}, Offset[{2.5, 0.}, { 7.499999999999999, -31.097560975609746`}]}, {{ 7.499999999999999, -23.78048780487803}, Offset[{2.5, 0.}, { 7.499999999999999, -23.78048780487803}]}, {{ 7.499999999999999, -16.463414634146332`}, Offset[{2.5, 0.}, { 7.499999999999999, -16.463414634146332`}]}, {{ 7.499999999999999, -9.146341463414625}, Offset[{2.5, 0.}, { 7.499999999999999, -9.146341463414625}]}, {{ 7.499999999999999, 5.487804878048789}, Offset[{2.5, 0.}, {7.499999999999999, 5.487804878048789}]}, {{7.499999999999999, 12.804878048780497`}, Offset[{2.5, 0.}, {7.499999999999999, 12.804878048780497`}]}, {{7.499999999999999, 20.121951219512205`}, Offset[{2.5, 0.}, {7.499999999999999, 20.121951219512205`}]}, {{7.499999999999999, 27.43902439024393}, Offset[{2.5, 0.}, {7.499999999999999, 27.43902439024393}]}, {{7.499999999999999, 42.07317073170732}, Offset[{2.5, 0.}, {7.499999999999999, 42.07317073170732}]}, {{7.499999999999999, 49.390243902439046`}, Offset[{2.5, 0.}, {7.499999999999999, 49.390243902439046`}]}, {{7.499999999999999, 56.70731707317074}, Offset[{2.5, 0.}, {7.499999999999999, 56.70731707317074}]}, {{7.499999999999999, 64.02439024390245}, Offset[{2.5, 0.}, {7.499999999999999, 64.02439024390245}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}, StripOnInput -> False]}, StyleBox[ StyleBox[{{ StyleBox[{ InsetBox[ FormBox["0.`", TraditionalForm], Offset[{7., 0.}, {7.499999999999999, -74.99999999999999}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.1\"", ShowStringCharacters -> False], 0.1, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, { 7.499999999999999, -38.414634146341456`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.2\"", ShowStringCharacters -> False], 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.499999999999999, -1.829268292682918}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.3\"", ShowStringCharacters -> False], 0.3, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.499999999999999, 34.75609756097562}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ StyleBox["\"0.4\"", ShowStringCharacters -> False], 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], Offset[{7., 0.}, {7.499999999999999, 71.34146341463415}], ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], StyleBox[{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}}, { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]], { Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ Directive[ Opacity[1]], Directive[ Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> False], {{ Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]], Directive[ AbsoluteThickness[0.2], GrayLevel[0.4], Opacity[0.3]]}}, StripOnInput -> False]}, { "GraphicsAxes"}, StripOnInput -> False]}, PlotRangePadding -> Scaled[0.02], PlotRange -> All, Frame -> True, FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> Opacity[0], FrameTicksStyle -> Opacity[0], ImageSize -> {Automatic, 150}, BaseStyle -> {}], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]}, "BarLegend", DisplayFunction -> (#& ), InterpretationFunction :> (RowBox[{"BarLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Blend", "[", RowBox[{"\"Rainbow\"", ",", "#1"}], "]"}], "&"}], ",", RowBox[{"{", RowBox[{ "1.7804456985431553`*^-18", ",", "0.41043562178793214`"}], "}"}]}], "}"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", RowBox[{"LegendMarkerSize", "\[Rule]", "150"}], ",", RowBox[{"ScalingFunctions", "\[Rule]", RowBox[{"{", RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], "]"}]& )], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]}], "}"}]], "Output",\ CellChangeTimes->{{3.929370058754302*^9, 3.929370102535256*^9}, 3.9293708632534733`*^9, 3.929371821877407*^9, {3.9293720438977118`*^9, 3.929372059206807*^9}, 3.9294184779703217`*^9, 3.929429827293806*^9, 3.9294342834370003`*^9}, CellLabel->"Out[16]=",ExpressionUUID->"dc7ab7ec-29f9-416d-a8d8-b503b4529e11"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{"Variante", " ", "2"}], "*)"}], "\[IndentingNewLine]", RowBox[{"Animate", "[", RowBox[{ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"uu", "[", RowBox[{"x", ",", "y", ",", "tt"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "->", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}]}], ",", " ", RowBox[{"PlotLegends", "->", "Automatic"}], ",", RowBox[{"ColorFunction", "->", " ", "\"\\""}], ",", " ", RowBox[{"ColorFunctionScaling", "->", "False"}]}], "]"}], ",", RowBox[{"{", RowBox[{"tt", ",", "0", ",", "10"}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.929370209595549*^9, 3.929370211416491*^9}, { 3.929523948642322*^9, 3.929523952295231*^9}},ExpressionUUID->"3666d2b6-a82d-427f-957a-\ 6432cc75b2ae"], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`tt$$ = 3.745415687561035, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`tt$$], 0, 10}}, Typeset`size$$ = { 413.2, {171., 175.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`tt$$ = 0}, "ControllerVariables" :> {}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Plot3D[ $CellContext`uu[$CellContext`x, $CellContext`y, $CellContext`tt$$], \ {$CellContext`x, -10, 10}, {$CellContext`y, -10, 10}, PlotRange -> {0, 1}, PlotLegends -> Automatic, ColorFunction -> "Rainbow", ColorFunctionScaling -> False], "Specifications" :> {{$CellContext`tt$$, 0, 10, AppearanceElements -> { "ProgressSlider", "PlayPauseButton", "FasterSlowerButtons", "DirectionButton"}}}, "Options" :> { ControlType -> Animator, AppearanceElements -> None, DefaultBaseStyle -> "Animate", DefaultLabelStyle -> "AnimateLabel", SynchronousUpdating -> True, ShrinkingDelay -> 10.}, "DefaultOptions" :> {}], ImageSizeCache->{460., {205.6875, 211.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, SynchronousInitialization->True, UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Animate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{3.929370211861067*^9, 3.929370867593165*^9, 3.929371825826112*^9, 3.92942982735576*^9, 3.929434283561143*^9}, CellLabel->"Out[17]=",ExpressionUUID->"fb5acbb3-295d-42b8-8262-b1dda9178c48"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["3. Aufgabe: Legendre Polynome", "Subsection", CellChangeTimes->{{3.927277500699644*^9, 3.927277508593761*^9}, { 3.92891863099606*^9, 3.9289186386502037`*^9}, {3.929366386383273*^9, 3.9293663871582327`*^9}, {3.929429782863366*^9, 3.929429783788884*^9}},ExpressionUUID->"2edcc4ce-8d47-43a9-bbf6-\ 269b44ac30a8"], Cell[TextData[{ "Legendre Polynome ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]], "(", StyleBox["x", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "P_n(x)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "6870b978-b5cf-4673-81e7-7f6ade14bf4a"], " sind spezielle Funktionen, die eine wichtige Rolle in der theoretischen \ Physik spielen, und Ihnen in den kommenden Semestern begegnen werden. Eine \ besondere Eigenschaft dieser Funktionen ist, dass sie auf dem Intervall \ [-1,1] ein orthogonales Funktionensystem bilden. \n\nSchreiben Sie einen \ Modul, der die Projektion einer Funktion f(x) auf den n- Legendre Polynome \ berechnet. d.h Das Skalarprodukt beider Funktionen sollte berechnet werden, \ wobei dies durch\n ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ RowBox[{"\[LeftAngleBracket]", RowBox[{ StyleBox["f", "TI"], ",", SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]]}], "\[RightAngleBracket]"}], "\[LongEqual]", FractionBox[ RowBox[{ SubsuperscriptBox["\[Integral]", "-1", "1"], StyleBox["d", "TI"], StyleBox["x", "TI"], SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]], RowBox[{"(", StyleBox["x", "TI"], ")"}], StyleBox["f", "TI"], RowBox[{"(", StyleBox["x", "TI"], ")"}]}], RowBox[{ SubsuperscriptBox["\[Integral]", "-1", "1"], StyleBox["d", "TI"], StyleBox["x", "TI"], SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]], RowBox[{"(", StyleBox["x", "TI"], ")"}], SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]], RowBox[{"(", StyleBox["x", "TI"], ")"}]}]]}], TraditionalForm], "errors" -> {}, "input" -> "\\langle f , P_n \\rangle= \\frac{\\int_{-1}^{1} d x \ P_{n}(x)f(x)}{\\int_{-1}^{1} d x P_{n}(x)P_n(x)}", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "ca154f8d-dc04-4e94-a427-811f2d99d805"], "\n definiert ist.\nBenutzen Sie ihre L\[ODoubleDot]sung, um die \ Projektionen von ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["f", "TI"], RowBox[{"(", StyleBox["x", "TI"], ")"}], "\[LongEqual]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox[ StyleBox["x", "TI"], "2"]}]]}], TraditionalForm], "errors" -> {}, "input" -> "f(x)=\\sqrt{1-x^2}", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "d00be55d-fad6-4d9a-87d8-3add1bedd3f4"], " auf die ersten 20 Legendre Polynome zu berechnen. Plotten Sie Ihr \ Ergebnis als ", StyleBox["ListPlot. ", FontWeight->"Bold"], "Vergleichen Sie au\[SZ]erdem durch einen Plot die Summen ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{ StyleBox["n", "TI"], "\[LongEqual]", "0"}], RowBox[{ StyleBox["n", "TI"], "\[LongEqual]", "20"}], LimitsPositioning -> True], RowBox[{"\[LeftAngleBracket]", RowBox[{ StyleBox["f", "TI"], ",", SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]]}], "\[RightAngleBracket]"}], SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]]}], TraditionalForm], "errors" -> {}, "input" -> "\\sum_{n=0}^{n=20}\\langle f,P_n\\rangle P_n", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "98407789-f8d7-48bb-99a8-856b49b58dee"], " und ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{ StyleBox["n", "TI"], "\[LongEqual]", "0"}], RowBox[{ StyleBox["n", "TI"], "\[LongEqual]", "3"}], LimitsPositioning -> True], RowBox[{"\[LeftAngleBracket]", RowBox[{ StyleBox["f", "TI"], ",", SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]]}], "\[RightAngleBracket]"}], SubscriptBox[ StyleBox["P", "TI"], StyleBox["n", "TI"]]}], TraditionalForm], "errors" -> {}, "input" -> "\\sum_{n=0}^{n=3}\\langle f,P_n\\rangle P_n", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "9353cafe-ef5e-43bc-82c5-c50027f7749d"], " mit der Funktion ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["f", "TI"], "(", StyleBox["x", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "f(x)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "7925d870-a19c-4517-b6fa-360928bcfe70"], "." }], "Text", CellChangeTimes->{{3.927277892921328*^9, 3.927277933182638*^9}, { 3.927278002296256*^9, 3.927278003579713*^9}, {3.92760427167266*^9, 3.9276043613983088`*^9}, {3.927604918476722*^9, 3.927604922223835*^9}, 3.927604984418355*^9, {3.927699817594887*^9, 3.927699905280695*^9}, { 3.927699942610712*^9, 3.9277000444406137`*^9}, {3.927700105389535*^9, 3.927700116099683*^9}, 3.928903687634439*^9, {3.9289184924096212`*^9, 3.9289185521855803`*^9}, 3.9289185840795517`*^9, {3.929372208643147*^9, 3.92937221570709*^9}, {3.929372275057424*^9, 3.929372460663375*^9}, { 3.9293725402614727`*^9, 3.9293726404076233`*^9}, 3.92937270318158*^9, { 3.9293727599916067`*^9, 3.929372856685869*^9}, {3.9294301458584843`*^9, 3.929430212365541*^9}, 3.929430248050962*^9, {3.9294302890520353`*^9, 3.92943033697691*^9}, {3.929430370603106*^9, 3.9294304556147833`*^9}, { 3.929430488361215*^9, 3.929430506402964*^9}, {3.929430618121179*^9, 3.929430687952011*^9}}, Background->RGBColor[ 0.94, 0.88, 0.94],ExpressionUUID->"5ff27437-36cf-42e7-914e-89e95677612e"], Cell[TextData[{ StyleBox["Hinweis: ", FontWeight->"Bold"], "N\[UDoubleDot]tzliche Befehle ", StyleBox["LegendreP[n,x], Integrate ", FontWeight->"Bold"], "oder ", StyleBox["NIntegrate, T", FontWeight->"Bold"], StyleBox["able ", FontWeight->"Bold"], "oder ", StyleBox["ParallelTable", FontWeight->"Bold"], StyleBox[", Sum, ListPlot, Plot.\n", FontWeight->"Bold"], "ParallelTable ist die vor-implementierte parallelisierte Version von Table \ und ist dadurch meistens zeitsparender. " }], "Text", CellChangeTimes->{{3.927697526090448*^9, 3.927697538036504*^9}, { 3.927697594019755*^9, 3.927697596852735*^9}, {3.927700069032035*^9, 3.927700078914391*^9}, {3.927799136563517*^9, 3.927799137101882*^9}, 3.92890375440003*^9, {3.929430256379822*^9, 3.929430269194512*^9}, { 3.929430701162484*^9, 3.929430828955678*^9}, {3.9294333978494*^9, 3.929433398882832*^9}, {3.929433736928746*^9, 3.929433815042824*^9}, { 3.929433852884632*^9, 3.929433897776409*^9}}, Background->RGBColor[ 0.87, 0.94, 1],ExpressionUUID->"1b9b1820-c35d-47fa-ae7b-539fd320cdba"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{"Projectionfunction", ":"}], "*)"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"PnProjektion", "[", RowBox[{"f_", ",", "n_"}], "]"}], ":=", RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{"f", "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", "x"}], "]"}]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}]}], "]"}], "/", RowBox[{"Integrate", "[", RowBox[{ RowBox[{ RowBox[{"LegendreP", "[", RowBox[{"n", ",", "x"}], "]"}], "*", RowBox[{"LegendreP", "[", RowBox[{"n", ",", "x"}], "]"}]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}]}], "]"}]}]}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"(*", RowBox[{"Check", ":"}], "*)"}], "\[IndentingNewLine]", RowBox[{"PnProjektion", "[", RowBox[{ RowBox[{"LegendreP", "[", RowBox[{"3", ",", "x"}], "]"}], ",", "5"}], "]"}], "\[IndentingNewLine]", RowBox[{"PnProjektion", "[", RowBox[{ RowBox[{"LegendreP", "[", RowBox[{"3", ",", "x"}], "]"}], ",", "3"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.929372882660122*^9, 3.929372976076395*^9}, { 3.929373020729329*^9, 3.929373053739418*^9}, {3.929373096753118*^9, 3.9293732048820543`*^9}, {3.929373256408964*^9, 3.929373257087929*^9}, { 3.929373413493593*^9, 3.929373484922092*^9}, {3.929380938414481*^9, 3.92938098367013*^9}, {3.929381124765284*^9, 3.929381129268898*^9}, { 3.9293812717572117`*^9, 3.929381282820548*^9}, {3.929381511826068*^9, 3.929381531726818*^9}, {3.929524044585915*^9, 3.92952405797707*^9}, { 3.929524153505361*^9, 3.929524205648459*^9}}, CellLabel->"In[17]:=",ExpressionUUID->"e94d377b-09ea-4c72-be12-a4037f24c1e5"], Cell[BoxData["0"], "Output", CellChangeTimes->{ 3.929381283623166*^9, {3.9293815147734957`*^9, 3.9293815322882967`*^9}, 3.929418513510041*^9, 3.92941868137796*^9, 3.92942982750497*^9, 3.929430509611341*^9, 3.929433724950877*^9, 3.929434283750371*^9, { 3.9295240616478252`*^9, 3.929524075622417*^9}, {3.929524154846567*^9, 3.929524165038074*^9}, 3.929524212449032*^9, 3.929524770521331*^9}, CellLabel->"Out[18]=",ExpressionUUID->"a7d4b81c-9bda-48b6-8d13-3b18c6b25f89"], Cell[BoxData["1"], "Output", CellChangeTimes->{ 3.929381283623166*^9, {3.9293815147734957`*^9, 3.9293815322882967`*^9}, 3.929418513510041*^9, 3.92941868137796*^9, 3.92942982750497*^9, 3.929430509611341*^9, 3.929433724950877*^9, 3.929434283750371*^9, { 3.9295240616478252`*^9, 3.929524075622417*^9}, {3.929524154846567*^9, 3.929524165038074*^9}, 3.929524212449032*^9, 3.9295247705244713`*^9}, CellLabel->"Out[19]=",ExpressionUUID->"11983235-b199-4c93-8721-be02eab0e8ef"] }, Open ]], Cell[BoxData[{ RowBox[{ RowBox[{"coeff", "=", RowBox[{"ParallelTable", "[", RowBox[{ RowBox[{"PnProjektion", "[", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{"1", "-", RowBox[{"x", "^", "2"}]}], "]"}], ",", "nn"}], "]"}], ",", RowBox[{"{", RowBox[{"nn", ",", "0", ",", "20"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"(*", RowBox[{ "Table", " ", "funktioniert", " ", "hier", " ", "nat\[UDoubleDot]rlich", " ", RowBox[{"auch", "."}]}], "*)"}]}]}], "Input", CellChangeTimes->{{3.929372882660122*^9, 3.929372976076395*^9}, { 3.929373020729329*^9, 3.929373053739418*^9}, {3.929373096753118*^9, 3.9293732048820543`*^9}, {3.929373256408964*^9, 3.929373257087929*^9}, { 3.929373413493593*^9, 3.929373484922092*^9}, {3.929380938414481*^9, 3.92938098367013*^9}, {3.929381124765284*^9, 3.929381145903865*^9}, { 3.92938120159988*^9, 3.929381203340259*^9}, {3.929381316354278*^9, 3.929381316525112*^9}, {3.929418674114768*^9, 3.9294186858244877`*^9}, { 3.929524222628808*^9, 3.92952423593998*^9}, {3.929524748180932*^9, 3.929524748353949*^9}}, CellLabel->"In[20]:=",ExpressionUUID->"1e827fe7-3b3d-4959-9b87-1434d6889372"], Cell[CellGroupData[{ Cell[BoxData["coeff"], "Input", CellChangeTimes->{ 3.9293813104103403`*^9, {3.929418705681896*^9, 3.92941870874185*^9}, 3.929430813720283*^9}, CellLabel->"In[29]:=",ExpressionUUID->"313f5104-1eb1-45af-89f2-c0baaca6b55d"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["\[Pi]", "4"], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"5", " ", "\[Pi]"}], "32"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"9", " ", "\[Pi]"}], "256"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"65", " ", "\[Pi]"}], "4096"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"595", " ", "\[Pi]"}], "65536"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"3087", " ", "\[Pi]"}], "524288"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"17325", " ", "\[Pi]"}], "4194304"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"410553", " ", "\[Pi]"}], "134217728"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"10122255", " ", "\[Pi]"}], "4294967296"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"64312105", " ", "\[Pi]"}], "34359738368"]}], ",", "0", ",", RowBox[{"-", FractionBox[ RowBox[{"418518529", " ", "\[Pi]"}], "274877906944"]}]}], "}"}]], "Output", CellChangeTimes->{ 3.929418709017807*^9, 3.929429838508482*^9, 3.929430548259718*^9, 3.929433731301*^9, 3.929434293598064*^9, 3.929524089681905*^9, { 3.92952477911908*^9, 3.929524829439104*^9}}, CellLabel->"Out[29]=",ExpressionUUID->"3d893f42-e8fd-43f0-8d18-9281737aa875"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ListPlot", "[", RowBox[{"coeff", ",", " ", RowBox[{"PlotRange", "->", "All"}], ",", RowBox[{"GridLines", "->", "Automatic"}]}], "]"}], " ", RowBox[{"(*", " ", RowBox[{ RowBox[{"Hier", " ", "kann", " ", "man", " ", "sehen"}], ",", " ", RowBox[{"dass", " ", "die", " ", "Reihe", " ", RowBox[{"konvergiert", ".", " ", "Das"}], " ", "stimmt", " ", "aber", " ", "nicht", " ", "f\[UDoubleDot]r", " ", "alle", " ", "Funktionen", " ", "f", RowBox[{ RowBox[{"(", "x", ")"}], "."}]}]}], "*)"}]}]], "Input", CellChangeTimes->{{3.929418735334688*^9, 3.929418744045116*^9}, { 3.929524100824753*^9, 3.929524126467575*^9}, {3.929524697940181*^9, 3.929524720257546*^9}, {3.929524793319483*^9, 3.929524890375946*^9}}, CellLabel->"In[32]:=",ExpressionUUID->"f8f6085f-be20-4c0e-b7ab-7de1e5096ad4"], Cell[BoxData[ GraphicsBox[{{}, InterpretationBox[{ TagBox[ TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ 0.012833333333333334`], AbsoluteThickness[2], PointBox[CompressedData[" 1:eJxTTMoPSmViYGAQBWIQDQEf7CV0XUJ+K760hwo4MKAADoc4i1DNqqz7+yF8 ATR5EYfdm87ss3LbA5WXQJOXcThrO9WxuW0lVF4BTV7JIcMqd9Jfk7lQeRU0 eTWHPYqXong+ToLKa6DJaznUq0//3jS5Cyqvgyav51By84Wn3bpmqLwBmryh w6vrivJrguug8kZo8sYOt7aYdt4QrYDKm6DJmzoY2rMdmTe9eD8AX7w4xA== "]]}, Annotation[#, "Charting`Private`Tag#1"]& ], {"WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>}], DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{ Annotation[{ Directive[ PointSize[0.012833333333333334`], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Point[CompressedData[" 1:eJxTTMoPSmViYGAQBWIQDQEf7CV0XUJ+K760hwo4MKAADoc4i1DNqqz7+yF8 ATR5EYfdm87ss3LbA5WXQJOXcThrO9WxuW0lVF4BTV7JIcMqd9Jfk7lQeRU0 eTWHPYqXong+ToLKa6DJaznUq0//3jS5Cyqvgyav51By84Wn3bpmqLwBmryh w6vrivJrguug8kZo8sYOt7aYdt4QrYDKm6DJmzoY2rMdmTe9eD8AX7w4xA== "]]}, "Charting`Private`Tag#1"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0.5833333333333348, 21.}, {-0.4908738521234052, 0.7853981633974483}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0.5833333333333348, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.012833333333333334`], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0.5833333333333348, 21.}, {-0.4908738521234052, 0.7853981633974483}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0.5833333333333348, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.012833333333333334`], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>], ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, { 4.503599627370496*^15, -4.503599627370496*^15}}]}, Annotation[{{ Annotation[{ Directive[ PointSize[0.012833333333333334`], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Point[CompressedData[" 1:eJxTTMoPSmViYGAQBWIQDQEf7CV0XUJ+K760hwo4MKAADoc4i1DNqqz7+yF8 ATR5EYfdm87ss3LbA5WXQJOXcThrO9WxuW0lVF4BTV7JIcMqd9Jfk7lQeRU0 eTWHPYqXong+ToLKa6DJaznUq0//3jS5Cyqvgyav51By84Wn3bpmqLwBmryh w6vrivJrguug8kZo8sYOt7aYdt4QrYDKm6DJmzoY2rMdmTe9eD8AX7w4xA== "]]}, "Charting`Private`Tag#1"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0.5833333333333348, 21.}, {-0.4908738521234052, 0.7853981633974483}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0.5833333333333348, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.012833333333333334`], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0.5833333333333348, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{Automatic, Automatic}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "DefaultPlotStyle" -> { Directive[ RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Directive[ RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Directive[ RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[2]], Directive[ RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[2]], Directive[ RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[2]], Directive[ RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[2]], Directive[ RGBColor[1, 0.75, 0], AbsoluteThickness[2]], Directive[ RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[2]], Directive[ RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[2]], Directive[ RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[2]], Directive[ RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[2]], Directive[ RGBColor[0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[2]], Directive[ RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[2]], Directive[ RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[2]]}, "DomainPadding" -> Scaled[0.02], "PointSizeFunction" -> "SmallPointSize", "RangePadding" -> Scaled[0.05], "OptimizePlotMarkers" -> True, "IncludeHighlighting" -> "CurrentPoint", "HighlightStyle" -> Automatic, "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& )}}, PlotRange->{{0.5833333333333348, 21.}, {-0.4908738521234052, 0.7853981633974483}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.9294187446287622`*^9, 3.929429838543812*^9, {3.929430533916607*^9, 3.929430550647238*^9}, 3.929434293763805*^9, 3.9295240952088842`*^9, { 3.929524783528051*^9, 3.929524834164798*^9}, {3.929524867840026*^9, 3.9295248924480886`*^9}}, CellLabel->"Out[32]=",ExpressionUUID->"def14bf6-98fe-4d49-bc17-d0173969e1a9"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"Reihenentwicklung", " ", "in", " ", "Legendrepolynomen"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"f3", "[", "x_", "]"}], ":=", RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"coeff", "[", RowBox[{"[", RowBox[{"i", "+", "1"}], "]"}], "]"}], "*", RowBox[{"LegendreP", "[", RowBox[{"i", ",", "x"}], "]"}]}], ",", RowBox[{"{", RowBox[{"i", ",", "0", ",", "3"}], "}"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"f20", "[", "x_", "]"}], ":=", RowBox[{"Sum", "[", RowBox[{ RowBox[{ RowBox[{"coeff", "[", RowBox[{"[", RowBox[{"i", "+", "1"}], "]"}], "]"}], "*", RowBox[{"LegendreP", "[", RowBox[{"i", ",", "x"}], "]"}]}], ",", RowBox[{"{", RowBox[{"i", ",", "0", ",", "20"}], "}"}]}], "]"}]}]}]}]], "Input", CellChangeTimes->{{3.929380964835204*^9, 3.9293810408555593`*^9}, { 3.929381096672865*^9, 3.9293811137877407`*^9}, 3.929381153974936*^9, { 3.929381219396983*^9, 3.929381219856309*^9}, {3.9293813286773043`*^9, 3.929381334915204*^9}, {3.9293813716968517`*^9, 3.9293813983097763`*^9}, { 3.92941881238688*^9, 3.9294188550135183`*^9}, {3.929430520772379*^9, 3.929430520984421*^9}, {3.929430569671775*^9, 3.929430607950828*^9}, { 3.92952425084269*^9, 3.9295242512017593`*^9}, {3.929524660161193*^9, 3.929524695561348*^9}, {3.929524738087476*^9, 3.929524756762089*^9}}, CellLabel->"In[33]:=",ExpressionUUID->"dd485afb-599c-47c7-83c8-9a6953c65eb9"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sqrt", "[", RowBox[{"1", "-", RowBox[{"x", "^", "2"}]}], "]"}], ",", RowBox[{"f3", "[", "x", "]"}], ",", RowBox[{"f20", "[", "x", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"PlotStyle", "->", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"Directive", "[", RowBox[{"Blue", ",", "Dashed"}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{"Black", ",", "Dashed"}], "]"}]}], "}"}]}], ",", RowBox[{"PlotLegends", "->", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.929381043219059*^9, 3.929381119339632*^9}, { 3.929381337052917*^9, 3.929381381210092*^9}, 3.92941877829872*^9, { 3.929430587290998*^9, 3.929430589357004*^9}, {3.9295247598691053`*^9, 3.929524764804637*^9}, {3.929524907276278*^9, 3.929524949127965*^9}, { 3.929524982457699*^9, 3.9295249905746183`*^9}}, CellLabel->"In[38]:=",ExpressionUUID->"c890b845-487a-46e3-a3a9-78ff88fedb37"], Cell[BoxData[ TemplateBox[{ GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]], LineBox[CompressedData[" 1:eJw12Hk4lN/7B3CULEkSabWklCUpW7LciUgl8UGiEiHZimQpW1IhlS1kTYQU Y82awyB79rGTNTEzDx9Zs3zP57p+v7/mel3zzDxnzpxzv+/zCJnf07NkYmBg MGdkYPjvVRJ2TW1sEEhzr7SPZ9FJuLcs7L+8QqBhT1K+Lj0RsnJPiMzNE4g4 mOEeYfwJZu2hijpDoO3bi7s5OEhw8qi2+cQ0gYTfaPnwUbPhwYgxw88JAvHo aWd0s+ZBXqx1fM8wgeLqdIV9ZvNBfodfb2MXgYJFvmu/0C8Ct4YQt+9tBFpm N9nR1l8Mxc8SdpU3Eah/a+u+LJ1SUFop1sutJJCzJhdsMCA4Mzpb/45EoPMK mYeiRyvgSdyGdVg6gZh/Oxq23iMD+eo2llcfCTR0f+Hkr0UyqDceVfOJIZDd k11da6uVoJVvWmL1gkArFNOu6eFq0HvR9FnalEA+huvygUp1EKbap3XMmECv dU5bZSfUQcffyV8iBng8u3TYdBjrwfD+5kN7LxKIr828RKq8HkyuKcYyyBMo g9Ml7bBkI1iIfwpq4iQQG2QcH+74AR/Hv4rVsBEIvaSHOhxuhomEqtryzfh9 rql+wYfNcJfn5+a8FTqK1ols3MLWAg5ruzyjJ+hI80BqkX5iC7g2+9nfKcP+ Yj4aWdEKQdMuXX8K6UgrLvnGkV+t8IHlrqpvLh09PiG515yjDRpBmzcujY4a es9ZDRu0wcEs3m9toXQUP1V2RXG8DX4Ep3Co3KGj7UXhO78vtIOIXu1nHi46 ohyTYFildYKSQzHvB3Y6+hNw9GLVVgroBn7xPs5MR9xNm2RNRSngQQ7+58IK DckPq+dtt6BA28lrf73HaKhSupXFoYsCnjunLkwX0tB26eGK1K9d0NGxdarC jIbYs4u3xhv3wBOL/LLP12moyeoFHHbqAck/N8PeXqUh77p3haEBPeC/M0fp rjYN1Tj5hAkV9oCyntEbLgUaSu/bo7+LpxdSmpNlTLloaMuyvU1YTS+41St7 r5ZRkRefgpU5fz8cKL/HI7+fioyknmQzvR2ERm5Z59N8VFTczXRNN3UQHlmu tCtzUxHXBem+kKJBoLA/C1NnpaLqvbT2yYFBCDaI5tb7M41Yry6ozR4egk3T VVz2jdPo8m4U6ZM7BL95925L8phGBdLWSZHmPyHftop5+8AUWkt8a2t5exhu BZ2Y6fH9jZg8DX6a647CUuhjfwST6OGqYLLR8BgkcQ7uiRqeQK1CM2u/bk5A 7IUTTu0B42jt5M64qPRf4Gtn5iaqNYZUmR8WxaBJeLwp3dWJNoIsDeQphk2/ wcyn+RAlbRjpyHtoxJKm4O238ahYm5+Ix+BwZo/rNBQPHeX4cnAQxS2MSjMr UkGY68xZ/fg+FLDeIDk/QIUcMX+bkdFudCP4jczuxzQYqs4WlJOjoAtsjnta mOgwLvH2JPrajkrbdQQyHemww+uTnCRjK5IuCRR/1UOH51+P1nIttiCrv1qv ZnvpsEJPvTZHbUGnUA27QT8dRkxTPAq7W1D9v+7X9gzRIUc1iXw2qwUN2e7Q ihyjgx5z3OWrpi3I3sfzpTVBhyN7hJoYHjejmHvI1mwzARJyhMTHuUakzxhX liNOgJWkt3fRQCNyKWjdWJQgIEFke1tTTSPiiZJWVpIkgJvvuOtCTCO6YrL2 pUKKgMVFhwpN9Ubk0cFnUS5LALmIbjAV3oBe13lcfAUEGCnTvY7L1aO1/MBW Sz0CQmW9WtUE61Hd9oftgf8Q0HCM85ARez16WKXZmalPgAq/ZJ3PYB0K3eDt mTMkQHjDfmfb8zoEtTfGHE0IoJfTUp27alE9o5eQigUBT9VpLUVuNeic0w2C 7yG+/3mqjsztGmQvJH57twsBDNrTPzK1a9Dz2POjfK4EeBj8bkw6WIP6Y5pZ edwJcLEar33V+B31NQZPM3gSYO0/UG4m+B3t7k0RzvAj4FJjUxZbbRXaoaa9 qBNGQGBL43G/nCp0wEdI8GQ4AbUdDZnrsVXo39q/V3e+JeDcQN2XOccqJD/L Pd8WgX8PvTptYF8VYg9dntCIJkCKq+x99r1K1HyuvpgxkQBe/czga3xk1H63 LKUyg4AckZfF5zaR0dCYWu6jTAKuLN8ZO0FUIA3d3TNSJHz/eKFT7DUVKHhq fCU6i4D1yfChYpcKtLcj0tAyl4AJz8eS+ynlKJxF6WR7IQEOOiFR30QR0g+U o+ysJCDtzwXqW0aEissctmRjj7zbfMahpww5jIdba1cRYDjm+os/oAwVPusl P60mANxvyvlMfkOLlLCWiRoCuJLEO86mliKD7z+Mnzfi8S5Ub689VIzIDQGu 4p0EvE7/QFZZLkLqbizMxdi2N70f5jcVoaCTo4maFAIOfT/V98EFe3yC7VYX ARFvP6d41haiKgb38Gc9BDySCVGWtitA+52145MG8Hgm7Wc+nSlAq1+vHxEe JEA69kKSIG8BOnXdvzwRm7ppMxtn2VdkaW4mHDtEwM12l47J7V8Ra5r2l2fD BJx1um4bn5uHcjabd4iPE8AvosDP65+HFCvVLGKx//bwtr68nofSTaY2c0wQ kKfaLOfOnIc0z2a4TWKL7DjLpH81FzWd5xOPmCSAPevIO7a/2ehj6/vKqmkC PvaNv/rtl4msei4y3JsloNdjV0KcdCbi9slSL8Xm5NfM0h3JQP0DLkWs/+L1 diutrQgy0LVlkEnA1hi34Qtc+Yw2as3vkecImKQT78Xuf0Iq+0kMI/ME7A8W zBnk/4Q6575rH1zA6+GEbmVoUxp6KxnRYIZd+CBnfEUsDYWzO1wbxA5YchZr GE9Bw6+elzUtEiDGtJJra5KMZhXO5DxbxvOTJFYtwJ6Mbr2icxRhh6qbUNoL k1A2S3TUNPbK89IlxV1JqKlg8ezlFbw/t3orc7QmIr8nsmNsf/F+yiBdLvdO REoLMjVy2DKXf5o6SyaiA88u95ljxwar+va/fI/MYCCiELtbjPX1tVfxiItC NjFeJeCM/d2siqk4FHaaVuODnUaqbxM9H4dmSi5YpmC7y7ziW2GKRSTbdGkC e68Kd2K02zvkYHdewHWNAF+fB5VMlCjEudOINxJ7mtwxbiMdhRinSUpfsUs1 I8UU6RGo+7WqwL/YN3T35/XdDkfFXWIyt9bxepmbV3hYFYaW/J7KuWN7RDQj zsNh6Fq/ilMIdmyfb4PqRAhS9x97i7AlvK7r9mmEIMZTbZ6d2CWCcl3OqcHo wnnRhCnsvIa2ap3W16gtcc9r7g0COriet/qGvkJhbfkmh7HnDBQG8v8JQr9P VpjLY5/8mfBnHyUAXcsRO3ANW/fwPww6kf7o6rmXLdbY9222cPgavUC5hOk3 V2zSHzvhyV4/ZN5+Vy0M+4eC4PF9sU8R27bE/gRsulf76cs3fFHezSukz9jb qp5rPOF/gpyT3Uq+YhtxOydbI280+XkvYwV2ZGxvyQ9VT6QiI+9Tj00RUW2X qXqE5Ok/TrVj82SnTkVruCEhjxGxPux/FDmZGOseokFHJ8MR7NBq5z13Lj5A g/reJZPYLTp9Uk1N99HhWDZjOjZ/3tNgq/d2SCNrx8k57JjaK+jkxzvIajpS bRF798AB+vonc6TyLvb1Crb4aKdCxA0TxLMosHMNW4TjfqTkHV1UJX2wdR3b p+Nox75KZVR0L6kW980gsX3AhvnYIZgtTVr+z5RZ3wSupfOwxi9s8Z9ndI78 e8/JENYDhVj/+/zjMI16W5lbkPorfvwv9rqXe0zCcUs4sy1mdem/77f5Ytcu ZgPx1bza89ibDIeUWUTugVgjZ9cMdqVgwIs4Lif42fQsehrbL+LgffnXznDp 7qPIcWwNjlKj1q2uEChJbRrEZvE1ULUNcIeLCb3KXdi1i3RRZhYP+CF57tcP 7EB7f+4EPy8YURWvr8ZOmQ323P/EB6YkgyZKsO/cEbP6uu4L4mklDR+xzx90 NX6q7AeLUf7h77CPDlRevuLxDPolmiKCsKf0bshPLb8AVesizfvY9dvSxQtO BUAzg+nCLezPtQsCfq6B8IrfbfAKtp1KMCv/fBC0STCYSGJrL/evTkm/hrZo O2IftmSe6GyB0xtY9Nf8xoq9FD5MPboUDOmqasw/8XovYn/cSX4YBpNeRzSe Yb8/xttOOhgO6pP1z2ywn18htcQ2h4P73y99l7H1I0YbXEQjoCtEuJ4He0bo EllsIApElcKy3+L92aU+gfgC34GVyviHB9hld3y+bZaPhsrqW+lXsF9m5BUO BseAqH7tXxZsEYUDpFD1ePgSy5Bmi+sDx/WCL96z8eD4ROPCWew5L910u/gE sKmIYdqNfWuErCfs8R4GkWV+Oa5HkkcXtdc6E+G51jZhFuy6XFP17IBkYGDk 3WeN659StUTlkZ/JoJTkuF8KO4uyrBov9xGcT0RLLy7hvFoOg5ejH4H5gWKS L7YF1J62VE6FqCqpF69xvd2olzqxZ/YTCI3J3niE67dT/xrpjWY6CJN6C6Wx J2j1klvi08GsaE6U+oeARi5LibkLn+FF991LxtjRhu+ONCV/gdTxvBBxnAey I4z8T4xIQNda4vswg8dffHVW6hMJojRFfPWwRUIzqn4ukyBeKl+ACXtr4hfZ 99pZQAoe+HOTIGD1ilH/Bj0LmHI+b9lOJ2AgiySKTuSAjV0S+TzOr95Y4518 xjnQ/vG3KXUK7yd/5jUH3xxoHDkq9Qb7xy2TFv72HBjRdLnb9hv/P1wsrl7O ufDIwU9FB+dhwv2bVcoFeXCsedH2IM7T2OtsmW+H8uBXj5ls0RgBUefzImks +RAD2id0sIMF2W3jjPLh1Bb/crdRvP9a8nesLefDgs0nRTLOazOpbaalSgWQ 56ARJ4nzXXimZPk0uQhynv5ptsP9g0eTmt8fWhHUCZl2DuL+gpLewJm5pxjG MngmdbADLfuEhRyLYeX2MdnjHXi99a5oswiWQKtAut1IKx5/tcKHds9SWBU8 dm5fEwHGMQUX7BQQOJoGnaaQcT13g87DlgiOiQ78EMXmNKwxHQpGkDif6+BR QUAFV5ez3iSCbmpeC385rpdqj3ViL5aD9Jvz+42+4XpTGO3uu1IO3WovK2ML CNBK6mm6bEQGIXuNfvvPeDzPMq2q7clgUJLulpKO58f66YbiUzKwTdw8MvgJ 5/+xYydEM8kwoni/5EIaAf6FPuGbNlfC20G10t0fcT1pOmJSSKqEls4GLv94 AjSXHk4KsVSDuO6rJ7nBuP/U5t40n18D5GmLXQpOuB8zY5tdrquBgcmyo5qO OI8fMgytD9RAQU//Hf37BNjE04tZt9QCjWO3nZ0Dvp6od9pvWAsfm+4Fhtrg 60Oejqgt1EJ6wfNtBeb4esqfilC5evDws39/C/fzb0y7fKQKGuHV4hXdE8fx /qcqwURjI5BaR+dnjhHg5f5hLWakERx482JI+DzhEGb/iIWzCfjiQ6ZExQi4 XLPJedCiCfre94VwH8bzfVzqThD3D/D1FZrO3YvHs+6vPWnfDFH+f8dlmQmo uXxg2xXuVpAfID893kUHmhCvV1t0O+wzfdp/3IUOD53Fzd7sokCJVkNsCisd uvq59Kxqu8G50DFo2IcGt9yVfrFc6gN2tSN+PrNUqBSXD6xkHoSGwoe2BWep IMJWOpl8/ie4eZaqswdNw4FS23PM/sOwWdwtVa56ChhWmD45jYxAqLVii0Xn b1jU/Xaz+vAY3NbPWXnQPwl9Mqb7DvuNQ7wQ4wyZ9AvuX+XacbB/Amy4BUI8 LCZgT/iY0eYDk8C1WrNowzYOmSbvU+fcfsOwv2SOw81RuKrsfb722xRM/m6c Nwobhv75ie1k8hRk+Wm8qXo5DOaZl7tKaqZgzUTdVdxvGOwE+K1IrVPg/f7c 3mnnYfBl/PY0YnwKHBNc1qQMhyGzeqXMYts0pAvyvmnlw7/jsoss441pCJop PCob+ROyb9ofPL06De3GJAkvtiEwz5858J6RCnnqYfVr84PAw+G8ZwsLFcKN RnTtRwbBpegRV9sOKnDdKE/cVzIIp3n81+8eocLmU5fasm0HgVz3ofedHhUS Lp6xSK0bgA6Z7tDlNDyve2OT81z74dlLk9emmXjebZUWqGb9IDcyGFCdS4WW NLIl16V+iHoz7hNSRoXubP8+PsF+uDH1r4NoBxWaV8vfC9f0wUTCtovXNqhQ am1bvMHVB0vsapuKDGiwLbpWQyC0B7jpnOFkYxrMitkqzj/qAfHW3kONpjRw 2rjOmXO7B25GOmkM3aVBZ1zIqSGZHqgU/hDA7EUD2Xae/I3ObnitxMill0KD a5NDirw7u+GwA9o/vUCDrqFh5V0uFFDRfZnx5y8NvKSYbA+aUMBI5qrKOgMd rMl25mxnKBC4QjfdsZUOEn/1Ai3ZKDDznD9JXoAOvj8FZjWiO6E0wVPUT5MO tlqP0cG8DtBrVZQ7EEUHyXukol5yG7Arbq0ojaNDpqegInN8G1Qk9168nkSH dJFCxyG3NpByczeLyaTDgiNoxRxrA06BgqA91XT4+26ZdSG0FersTo7y/ksH KpOhEOfFFvChMDrkL9Jhu+MZoT2CLXDqTOuS/hodFs8lHdD93QwpO+9zhrPi vjZWkDvgVDP4FWcocAvgOsqlnzdW1wRnWEWDOS8RoKzNHH8xsx6WHJf2Zuri PipMWHFMrR5IfTUfta/ivjdFRSG3qw74SVYlQbhODJgNs0Uu18KqQfIEOz5n N6u6R9gI10AeeuCY7oXrcNLdztzU72Arqraqhc/ZWx+drpcW/Q69q8M7At4Q 4GnqmcwpXA0FSQLKLCn4/kYBboemyeCwjahJwXU0nGr8XFSPDCKuZXoa2Tj3 Qx7UT+ZWQPiFG9bPSnEdJIXpS1qWw6U8iblDuI5zLF/Uv2WFYBP/qmcVPsfK 3VZcj539Bk6z0WGb2glQvDQ3nVNfDGImNvxJ3QQUHGMT7+QqguEqhU9ncQ69 dLWg9MkWQJQkm8wIzi0795bgXSfy4UpUd9kTnIvhdUysUvM5wMqUpiWEczfj 7A2LAtssQLauHeU4142U7B16W9PBpVPD9BY+V61JPOFtXPwA//c8GP7/efD/ AFYD6CU= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ], TagBox[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], LineBox[CompressedData[" 1:eJw12Hk0lG/7AHBZEjKhJMmaKEnIlyRdlBBJlBaJVNJr3woRQqJFErIMKruE pKy5rRn7MkyyVbaGmOcRFV7x3t9zfr+/5nzOuc/MNc+57mt5pC+7mtuxs7Gx Ca1hY/v3Uwk2T62uEohz/wfk/7kbXBe3hy8uEahjYdDYkNkNhW9V5OZ+Eehd zvq7gn+6QXWnyeWJHwR6NZC0Qt1EBw3B0P7WTwRyCfKlxJvSQWd0tjmhgEBn 21ReSDTQwfxe26t9NgRK8YqLds7vAe+OUGf7KhZaWNibIXSLAT09fFM1tjNI 20jjUu2hfhCvdt2ksW0aiZ0/cVyAOgTvHOu5NgxNIc48W+4q269w6aEK+Tl4 EgW6mKj9YR+BhWi/cARM5DpMejK9RiGNMiwa/20Cmefc13pJjgHVSMWDHjGO RiaMD62YTkCwk63PrmNj6Lzerntxod/BjyPX22NmBFEv26ScqmKCbVCHLCP7 G1pwl9BO7JiE2A/j8VSHr8g1bjhBvGkKyr/sXJ8nM4yMGgUcoe4HbBfQOXw6 ZQCVHM56fDJhGooUwh1GRvvQ9SNO/IZOM/Cl4Y2UujoDVQkKJwvIsWBcMVYV vaejEXnVu8eqWSAYkKOutKYLjfgKmdPMCQh7v5Mm8KcTsWi7zWpPE7DEyjo/ N92JqAcJmYozBIzYZPqX9nWisSdeh3IsCSjSTas9XNiJtsz7WHhfJsCcK/nE WZtOJPrsOseAOwHyotJtbH4dKOjsqHX1YwIU1QnFjLlWNFijv4mDRsA1pcDA sqFW9OyhUn5vEwGpchu62xpbkU2xwURmCwFCInu9fye1oi1iFJWjHQT8+eNS Y6DXihSO/lB2ZxBQW8aymIppQb183z+HjRFwTpsVsFe9GRlcGevMXiUg+p+A riNSzejzd7/4LDYSWvZQZM/xNqOY4ykit9aQcEhCqSlouAk9l97DIc5BwvZV 543dYU2Ie8njseVaEljVM1len2ho69VU/+L1JITozXSW+TQiE3G/nNEtJNQa TpuqXWlEO/6MHU8WJYHN5Ed7vkkjEk1qOnpmKwn+FpOtaTKN6LQux/6PYiTc vDZOe9T6EW3m3i+RIkHC9fChalupj6jdO2t2jywJx1vbCnlo9YjCSi5uUyLh fmfr3tCiemTNZ8vtsZcEWk9L/gq1HjX9TCkQVibh6FBT3px7PZqXfMB2QQX/ H1ZD9pBYPYqdk00f2keCskDV8zeudYg/yPpn7X4ShE/nR50XqUUteyZz+Q+T UCT3oPwoRy1SdJgXfYp9ctF+TIWoQaYDz+ZFjuDfT5Hez9tYg/ovZE1L6pGw woz5Un6zBq1nML/v1Cdh4raf0jZGNerM/8UraUSCi+mT+A+7EJqcVeegmpGQ PW80HbsGoYcfDccp5iSMJHDquHyuQrMdP1XvYJ8Z8/4uEVGF2O9sELx6igTw tVYPYn5AB60c+2QsSBBI291zOKsSCf/Jexp6Dsf7u2EDTbYcna46W9lnTUJk 7svaQ4tlKKnJTF7XhgRH68Ab79rKkKxW32g2tuzH/QMvb5YhNrP7ZjcvkRAX +yrzNq0UfTIIWV13mYRbak+09zmVoHWXaRn8djgepjOZo1OCbnWF73LE3kc1 SpMSLkF7s3pXGrGnOTh5KFXv0aW7m1ICr5FgTb/Zw9zwHo2tly+YsCfhsIeV Y8rbYuRimCoW40CChJymhHB4MeLbJlc6gf3fz8JdD6yK0Q8Lzcz9jiQU63ao +3IVI89lTu9+bDnBw+ynz75F6ZtUfgg7k8BbKJ/A8983KMx9UNzJlYSMgfFH k6H5yGwoMC/Wk4R+/82pyfvyUTv/Fe92bIqEQaHZyGsktW9f7lovnG+XsrvL 4DXSsUo0uIGtP+4gcn/pFfLcGWprfIMEJot4ruCWg15mNwgO3CRhW5RU0bBE Droi53OB1xvng4pZXXRbNlqIF+HXxC71LBpfUshGqVbi2THYEQteCi3jmejr Rb0Pej4kKLAvvXW8kI4UDdmuhvvi55Om0CDJm46UNwYr5mNH611g0EvTEA+d tKJjL4VVLmhtTkMaKrG/xG7h+8kXqL2+6wUKs1/kysRme11wojrwBVL8PMLf iK124quNl9ILlAllt79jU6N0gwcfPEdbfijGyvmR0KewLvL8oxTEqtibloyt 4/yfwpqpZPRPT9BUGXZ2QXP3LsNkZP6tKqEX21ftkcgSOxVx969R5vMnYesh oReJPgnoytE0LVfs4CDPOnZGPDLhtKoNw/5R2zPusC8e8ZWueZOMXWnwTEGL FYc4VzZ+bMK+aLateOBKDPrOcbpj622cL3O/NG/UP0UZbRH792D7x3Ugyo6n SOJR3AbApg4Et+hOPEHaM2rcttiKAVZmA/pP0Nijj/Lu2BVS6p+8sqKQvuze 90HYxS3dDaZdkUhD9e62FOwegbCu4OhH6GOOx/wr7DkLzaF3px4iARGNA2XY ql9T58UYEYjerbehG9tsxyk202fhyFg6MmUI281h7frgc/dQgF1+EhO7YN5p O7M/FAl1eH5Zxm7XlNorRg1BnvNb5NYG4HoYQD9w4mIwerwhtp+CzV8fpn9H 4g6yk2Iub8Y+J+SVfh0Fol9yQo8ksJ9R+yvadW8j2L7xwQ5shpwuXa3+Fjoi /OP3buxNb7KmEvV9EPvfhE4V7FNaFPY1TTfQrX7JLRrY0Q1eovbGnuj1a/82 LexO0wHltjY3lHizkARsieKQqGvPnZDuPxV3jmAn0U4i1Qx7lDZJDdLH3jIk zlrJuYyqnlrMGGLvHu3VjLt4AcXsG280wpZb7/ZMyd4MyTYZCxzHDurZ2SNW p41cTkd8/NeKG4YcuPbIgmdv8tS/ZswGpwosGILq8Qj/f02ayv909TgDuaXG /sbYfk/1mx3VLsHQ1vHJY9grAb5JqXvtoNnDosHg3+93yHOiKziARzWVchSb 48wXbW45V6BzVDToYtdJRdxLFvAA4mDhlDZ2aJyMm0akFzQ4+t/WxNZfX3mu i88bLKIkA9SwuYMtdB0jfCE1N2FaCZv2h7WLi9sf0sunaDux7zuHC6WGBsDl aqGNMtiZs1G3t90JgoEKwZat2Pb2CtferwTD8tOYUF5sQxlvyxDtUEhz2xK2 BnvnUN2Jk/53geuI568/OB+mzC9qTC3eg9+01+Kj2M38ubtL9kfAPf9HjE/Y r2i/JUO970PXDr2/LdhOh6LWSfx6CLHn1WOKsE0WB5en9kUCZcydMwNbqXjX bInHY9C9GjoSh70Q821650IUMI4qMX2wy3j9emtvPIXyR7Gi6tjP9wjTC2Ri QHPHmusy2GEnCzqpHTFwyPc6LwX7dNxoy81dcTBwRsF4FN9HUvp4rcJQPFxi 3qq8i/1JbwKJ3E8Awav1uU7YVfZBHzg1EsGQyjNjjv3gdXHpcFQSGB2+5yyO LacpXhCtlwLxV02tc3G9WG9Vkhc4mwL+9TenH2DPBZjlOqWkwsTXhHYn7Esj tebb/Z/DcVN6pCK20s4/Jn97X8BV9o2rabheNb210XsTkQ61NQ0pHrj+HWxQ rJP/mg48U9lOx7ALGYu6KeoZ0Nd+L1ISO27xKTwYzQDu9v3tTbi+XgXaATvt LCh6aa+9GXu1WVlFdDYH1DIW+iNx/fYY/Fvw2CAXvsU+Y1piT8w0K61NyYVN R1SN5LBbBewU54xeAT/dkqcC1//EMwnybel5YNTk4z2I+8M/I2sk7pwrgJ8U ptCqB46//Oysck4ByO8ejq3Hlot+Xf91sQAqN3KHRGDzvcj757lJIaw1mk0S xF4+eW5wlVUIYsbytK3uJAwVFuxCKkWgnyrKK4j7Vz/VcqOIZRH43Tmo3OaC 71M411+X4CIQUI6uDsduv3ShU4JeBFY/eyVXcP+rEuD2DvB6C+58qO+bEwmp btb12iXFkPxYRO0R7qdUK5782C/FQNew/wvY8YbFz2a438F/8iaVf/6HhCgp Xsfkc++geCmMcRo7qPOd4N/Fd9C8e/u2jddJsFXmt6k8WAILX75FeeL+vp2s WDxQWwZnonyk6vH84N92JHR+pgxGebokrLAZuS2UfNFyyLil6jyH54/7dgPb pd3LgaYrsCSJTfYvmXBLVUDENY0eNyscf4PmS/rtSpjjUbs/i+cXy6QSIydN BG6lE8sueD4q9oHeHXYIErdYL5Mncf8+02jzJQrBguuwsQd2jcAnL3MmglOc S/0eprheHvEzpRpXQ0gdtczRBNeb0kTf4KVqaEuK8jl4jIRjaZ/bTpyrBd5i lb/ndXA8d/OvNTjXwtFlrrc0wM/nesiqVkgtdP/SQerYzD17VHbl18Lw8lS/ wCESwkuDYjg466DFcoPkBy1cT9rkL5QW1AHLIqH/lzoJBgs3mNLcDWBxrEiC qYjnTxMhjl/vGuGt7EJ/x2Y8j9nyzC42NYJTuUOnFHbfDbYvK0ONEB9tpuou TIJDCqt83VoaGPH6awlswueJZo9tZ2ggKqJ3xUAQn38SMnLkNw2sMp+vS+TD 5xnzNdHqzTCtLmLxAs/zj20+BSmXtMICMotb24b3lemDMNHaCn5PJEcO4H0h wPfl36SRVpC9PtrtjPcJl6fOt7gpbUDImqR1NBBwopHDa/hqG1gPZq8GVxFA 2ats/1CoHbIO38nMLiAgciXchOncAePT7/KIKAIaT4jznxTqAv5SpSQnUwJm pIUDuhPp4KeSa5f4kQU3vHbbPt7MgJVtPZ7SSiz4NChgfo3WBy/zLB/KeM3A Jd+D37mPD0C0pumq6dtpqNutcb+OaxjspQ3sdNp+gBxPJTPd8CtEnmK55I1M gXil41Gu8G+gYiVdqDg1CWxL7DkeIyMwIkINHG9kwh+zD9YNO8agIlP1dUjG dxhQsxHbEToOHmJvOVMtJsDtrICgzOAE/DptlWn7ewxEY8bOcYozQSOyNiEy aRTyLzzPmvOZhGC3bo0Yygic1Q40pH2YgnD/U61m4V/hjbWzzIHlH1ByuIWZ xhqCBd4jHGUWM3BIWdnUwKYfzLu01MXjWRAYn1UuP8EAXi2+mspkFujcDq04 yWBATXq/sVUaCwbmztBvfmSAso+vbVI+CyLjBg3KMxlAkSx5KNrAgqk3DnoS 9gxoclIdFf7Jggyd6AeW33tBZ92uKMpxAuY+UMzTx3tgwX1ha74ZAReGklXc enugYKAxw+QsAXGRMjs1G3pAouBaxUO8d8ZmrresTe+BZYv0CV5fAu7lXel6 c6UHStIktbkzCbATEKdwfaODCz/RmPmKABkTrosvO+kg511lrv+GgGKx0dqD 1XSIMbp4/W4lAWYugfTrqXTwmE18ykHHeTd5YF3KRTooXHCQSOsj4GdxB0XW hA7f6jVzDg8ToCxkqZh1kA4n4/uq7kwSIBlsmpcuRod17NnHpAkCPsWUUyT5 6IAcvXuq5/HeqykWHrfUDTd79W0uLRHQ5Oq+hW+qG/7vfQj8//uQ/wGeE9sb "]]}, Annotation[#, "Charting`Private`Tag#2"]& ], TagBox[{ Directive[ Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], LineBox[CompressedData[" 1:eJw12Hk0VP//B3BSibJGm0iRkOwpRa+UkBBKiVApspcUKruESkJIlqJC2Zfs 3gwytuxkN7YYM3OJbBXf9+ec3++vOY9z75n7njv3/Xq+XnfvDSfDW+uYmJic mJmY/vuUhm3UtTUCXbgQL3OtMxmclkUCl1cIRNtoJcYv/gWycuXE5n4TaEpR +juLdQbIi+vemJgm0HKZuUOvUQ4c4fHvbewmkLBuRIC5TCG4Nbxy+9ZGoMaF I0+6Q4ug+EnCtoomAkVKSjnYUotBZaXYMLeKQObpu2pQQBmcHJ2tf5NJoE5V hW6Ww5XgE7d2O/wzgYY1DTN211UC6TIH64uPBGJdci7kNSGBeqP4ae+3BNKk n7D55VwFZ/MtSqyeEuhr/lrVqG8NGD5t+qJgQaDVwl6+Uak6CFfrO3vIhEAf k3/8cY6ug44/kz/FjAjEorfGxLuuHi7dWS+66xyBsramqhY114PpleOxTEcI xLzcVXz0UiPcPJj6vImTQAPOY9/3CjTDx/GvkrVsBNKLaOvrc2iGiYRqcsV6 AklkSZjYoGaw4Rten7fCQM+fkA6EybSA479tHjETDFS9i20HW10LuDb7O1iX M9Dn0jGTqxOt8Hz6Qfd8IQNddjnQtGtzGySy2qj55jLQll5R7TsybdAIuvxx KQx0r0S5jvGgDfZl8Ze1hTHQCseZd1HM7fA99NOWE9YMpETv1DqwqQPEDMlf +LgZyDFf4E3RVCeoOBbzJ7JjFxYWXNnYBQbBaV4yGxjI/ehAX8e+LnhMCr2g vUJHWaHTvNdMu6BN/sofrzE6ujml82Okvgs8tlK1pwvpqLjoEkn1Qzd0dGym Vl6nI8uts2x1p3vA52Z++ZerdOTh3h520bQHpOfNw19fpqM5dx3NJuceCNya o2KjS0eiN16kBLzvAVVD45fcynT0q1ude/dqD3xq/qBowU1HPyRbGZTcXnCr V/X6W05DO+ri7u/h7QfBCie+I7tpiO+eDv+OmEFo5D3scmw7DZkd81joTRuE h7dW2lV5aehXYtCLF2gQutifhKtvoqHhYPuNpLFBCDWK4TWcn0bJWwVMbKSH gGW6mtuhcRqZjF4ILC0fgin+XRxJj6fRbxNtuRmbYci3q97ANUBFuS/unj1q S4Gjwo5yn7qpKD174ZmbMwWKO7abqbZREWuAi0DOQwpUqNrl2dVS0bd9dy14 nlGgnovXkpxNRctyo1K+XygwnGtR4RNARWaK8drHpinA/nfl4bwMFXFd/Rlr bzUC157LzfT4TiH9PVNOFXqjsBT2KBDBJHqqdCa3tW8MkjgHd0ZTJlAx1fAK p8UExGrLObcHjaOFIdrG/Zk/wdf+upvE2TH0PYHLMog0CY9YPrs600dQ3vuq 2yENU3Ddu1m0K4WCOkP31KR8ocLrsvHoWNthtOdb9UrA/WkoHhLfkrZvEJ3i Z99vo0IDEe6Tpy7G96G4C6XuVhQa5EgG2o6M/kASZeKFfh50GKrJFlZS6kLj t5hcZNYxYFzqtTz62o787qf7NTgygMczVUmauRXtsr1kn93FgICv4mTuxRZ0 bkREVuAHA1YYyVfmaC2oyVBd3r+HASMWnx4X/mhBrxwrZi70MyBHLYl0KqsF 9QQIGFApDDDcEKd32aIFudjNOfyiMeDAzr1NTI+aEWH6RM1xHQFSSoTUx7lG JCuzp5L5IAFW0l5eRQONiKySU20oRUCCGFdbU20jUlbuaUg8RADvdhnXhbeN aOda4QjIErC46Fipqd6IEl2eizgeJoBUxDCiRjSgsBxf1xggwFiV4SmjVI9M dX7FSV8gIOywZ+tp4Xr0WO0Fq8VFAhoOcYoas9ejMtFoyxAjAk4ISdd5D9Yh b5GlmanLBIisOWxtC6hDZ59RDSOuEsCooCe7dJPRLUfu2vxbBPip01uK3GpR 0T5zLXFXfH0t2nlFy1qk8UFSXs6NACbd6e8ZurXI8st7dmV3Ah4bTTUm7atF I0JqAWceEfDAapz8ovEbYnr/KMHAi4DbgQMV14W/oYKrKzuUnhKg09iUxUau Rp9VZx5LRxIQ3NIo459TjW4oXCjmiyKA3NGQsRpbjcYF1IaWsc8M1KXN3a1G 7FuMhyre4N/DqEkZEKhGR0N2fVWLI0CWu/xdtlMV2qDQmc35gQD+ixmhV7aT 0DjdmtaZRUCO2LPiMywklM4hzPw8mwD9ZesxOaISBZBN96nl4OvH7z3KXluJ 9isOBqfkErA6GTFU/KAS0aPHFu2+EjDh8Uh6d1cFGn3/4lZNCQGO519Fl0kg FL3TbKmqhoCUeW3aa2aEqkzsFk2/ETDyZv1Jx55ytIFCYpvDvjTm+lMoqBzp FfrYCJEJAHdzJe/JMrQ5kRC0rSeAO+lgx6nkUhRzh+lD53e83oUaLrJoMbLK 6fi81kVAyOdE0onlIqTv3cD9pJsAO3Ov+/lNRUih5LIj2w8CRL8d7Ut8UIR2 jF/j5eohIPL1l08e5EJEZJE4OPsIeKj4SlXBvgBpapwy6BvE65l0mEk9WYA8 So+76A8RoBCrnSTMX4ByqhejqrFpLOvZOMu/oiU+obHUYQLM2x90THJ9RYsn ed/dHiHglPNVu/jcPCTv/1mmYJwAITFlIf7APOTbTUnePUHAnx7+1mdX81Dk 9zRJH+w8tWYl9w15KGblsaHmTwLEeE6tu3g5F5F6nqqQJwlgzzrwhu1PNpqB GxvjpvH9tlyv492cjaJ8O5znsKu2U1YXkrIR24PuOS0aft68Ym6O6WSjZlY2 pVlshh6HLIrPQuOhVxqVGAR87Bt/MeWfgdxvi9ZFzhDQ+3hbQpxCBupuNN7U i80ppJllMJKOpsyKfHfP4uf1WkpbEaQjCmlcMgFbY9x2e/DKFzQzsv3S218E TDKId5J3UpGPx3ovp3kCdocK5wwKpSLe6sSUT9j6cgZVYU0piNm8gG8Au/Be zviKZAoqPriSr/mbgKAlF8mG8U/IfiJLnG+BAMl1K7l2ph/QlCGLZPAivr9J kjV72D+gykeOafnYYeqmXe2FSah/pMB1GHsloHTp+LYkdKn0ClVhCe/vzV6q W1rfI6HgmrNt2EzpmXoVXu9RyfNtgkvYinrDFi7S71GqMpeK4DIBsaFqvv3P 3iEBpG5+C/uH5KaQKy/iUczuCBU69kkHm6xKahxyGFm9z7GCn+fM+jYJrTg0 +DronxS2u+KL7SvrYlGL8d4lG+xdJ3jfx7i9QWOKq4l92L7e96rWdUWj/g5+ owXsaVLHuK1CNOqmOVzm/kNAqWaU5HFGJOp72KF7CtvMYHden2UEOjzdyxqP TZv7rXy/OhxxN13sycF+HNmMOPeHI6snr1lqsWP7fBvUJl6h5N37LenYUp5X Dfo0XqHzKk3Ra9glwkrdLsmhyCCLcYDnL37eGtpqzreGIO2TJy/IY3dwB7T6 hr1AdVzlhBr2nJHyQP6F5ygzSn9CH1t+OGFeoCsIXROAEXtsg/0XmM5HBaL1 WwZ+umPfsd24xdf4KWKP3aoVgJ05by8y2euPWKXKd8Rhf1cWlhGI9UOrR24H JWMzPNuP6Zn5ItnlbUbZ2BzVARo+Qj5oPpfyqBjbmNflw23khU5JDv4jYUfF 9pZ8V/NALTHCffXYXWJq7YrVD5FGRcnWNmy+7GRqjIYbcm2pSP6BfeE45zrm uvuo4hFEDWKH1bjstD53D12gnRkZxW453yfb1HQHldUMB05iC+X5hVq9s0cX RQWe0bDfkvWR/Edr1Ba7Oklg7xgQZKym3kAjx8MTf2EfHO1UjjQzRZQnQwXz 2GJb7kRJWxugsAeT4gvY3h3iHQJVqmjaO/v3f5biGrDdcEgUFkJUhBb/W/+s bwL3khbkMwcn/nd85vyBX07Ol0AsO9r3N/ajcI16O8VrYEC7VT6Hverp/jZB 5haYutONZv/7fts0+3ZJW8h7LXGWgc1yaUiVVcwJDBd4o6nYVcJBT+O4nYGF /O7UBLZ/5L47R0JcoDyTrEXB1thSaty62RVYGjw/92Gz+hqp2QW5w72sfOtO bPIiQ2ID62NQuWPu/R072CGQN8HfEyojbs9/w/40G+qx28cbDouQqsqxra0l rb6u+sK9f1td0rC19rma+Kn6Q3zF8MVEbPGBKj39x09Af/BjaBQ21dDsCHX5 KYwGZO/wxq7n+Hyw4GgQtPhU3LyH/YW8sMffNRhCiow3W2HbnwjdJPT7ObiZ fbQ+i6273P+XqhAC5UbbBI9hS+dJzBY4v4Saj0FSkthLERSa+FIoFKoMG2/C LmJ/1Em6Hw6eTr0jpXg/vDvE3565LwLaD3AkfMIO0M9siW2OAEJNP/Il9sXI 0YYHEpHQumnzYQvsmb06JMmBaOhMXz34G+/fbvUJtD34DViyORb9wC639i5b fyQGhL6RvEqwn6XnFQ6GvoVgwdF8T2wxZcHMMPV4IKQ3oT+4nmy5WpDmNRsP ta8L2Xuw5zwNPtvHJ8BCV9rzfOxrIyRDkcfvgBzLkLPHlhZf1P3X+R6EpY0X m3H9qsu1UM8O+gA18nZ8d3H9U6mRqjow/AFkdga9VsPO6lpWi1f6CHTRWxo8 2JHL4fBs9CNwrnofzsD19SaQj91STYbCLwIqg7j+rtXLyu2cTQXGpJzHNlyf nfv/Zb7U/AwBfucqeuZw3tDrpTfGY0fKH4zFbuS+JTWn/QUKRNQfCGHHXHpz oOlDGuj0KbftwHlweIRZyMc4E0qkI0XHCLz+4suzsqmZoBHkkxSPLRaWXj28 nAlJL03NjbE3v087/E43CzQXfz2pw/n0V9+4f42RBQWCx14m0gkYyMqUQHI5 oHNDU1AG511vrMnW7SY5YIg27x2g4v0UuOGfo28OHNP5ZRyM/f2aaYtQew6U L0pYjkzh/4eb1dXTJReiFK60B+I8TbhjXq1akAfGccdyM3A+x15ly3g9lAfj aa5l57GjtfKi6Kz5kJQ3MkeMERAqzG4XZ5wPGpJao4ewvVvyef4t5wOs+pYn 4Ly/LsthUapSAJYGCssmuD8QmSlZPkYqglolM3Ep3H88bjrtP08vAk9db49k 3J90fW7gzNhZDBpcvOS92MG3+kT23i2GA1rnj2/F/cxM74ouq3AJiBZxP5tq x+uvUU5s9yiFO9FFJpbNBJi8LdC2V0ZgN25vGoj7qzw36Nx/C8Gu3K9WlGqc 35dqLYZCEby97m6sjF3J3e1iOIkg1WKBPk7C9fL0o/Ox5yqAfIinW64C15vC GHfflQooPMxvElFMwNmkniY9YxJ82Vig65uB1/Mkw6rGgQSqv+f0StLx/bnt t3bcjwRX1XWU59Jw/h86JCeRQQKO2nGyxRcCAgu9I1jWV4F0iU7rwRRcT5oO mBZmVsH3Ht6HL98ToLl0f3Ivaw2om4nIPAnH/asuL8vv/FpofuNdLuuC+7nr bLPLdbVQ0v/xudI9nMf3mYZWB2qh6dJXp+POBNjGM4o3bSSD7Lbq+6fu4POJ eufdl8jQLPE36Iw9Pv+V38jpBTKc3vVwp/BNfH7XfGWYUj08XORRlsDzwEuL bm/Zgka4N/ut/Z003v80FZhobAQzG6dvF/G84eme+O/tSCOc+La9khXPI47h Dg9ZOZvge4BPi60EAXq1LC6DN5tA3eGy1X5RfL9lZK2f836Hkk5fiv1OvJ7V QN1Jh2ZIpT8I0WIhoFZPkEOftxVSgxQWtDsYQN/L79kW0w4LSPsM3GPAfZeD 119u6wKfat/VYVYGdPdzG1qRf8CojdBjBT86XHNX+cmq0we6t2+qMf2mQdXB I8FVGwZh5bp7A6jTQIytdPKD1jDofX2rwhE8DYKldmc2BFIgdMPnEvVKKjCt rEt1HhmB4ZWaxoftU7BoUGZes38Mcq94354dnIQ+RQuB/f7joGJ02uhi3k+4 c5mbZ1//BLjk8rGU35yAnRFjxusFJ6HQ6Ce/9PpxyDB9lzznNgXmzfTzL01H QbFbZGWj5xTkTZGK1i6OQolhss4uvynoLa1e54DnY/LZjNmTL6bgobX89hNq ozB6pPR4yPspyBFk+BeJjcIOvh/N4vVT8D7ZcYxzdgR8G7mWzASoIL09pWDJ dwQuq3ppkcuo0FNBPvfqDQX6f09wkUhUSFuJjt8eRoEbGXrdJbVU0N/C6R4d TAH7PUJWma1UQBxlEUGPKODLXOYXOU6FbA8FfnEzCmTUrJTf5JgGnRK95HN7 KLBe78FhZrNpkCdeOffED0O2ucO+Y3+n4XhxieMlniG4kT8j+I6ZBsFDi9a3 /g0C3xaXnRtZaRAp99Tn+tQgPCh6yN3Gg+dwo8o+4cpBOMYXuGpzgAanD+78 Wuw0CKS6xN43hjSYf2i8zaBuADoUf4Qtp9DArCentt2hH548Mw2xyKBBCZd2 kMvlflAaGQyqycXXK60IZlbrh+iX496vymmwiY9Xc3hrP5hRfzlKdNBA3H+3 W1ZhH0wkcJy7skaD7B2bc96s9sIS+2mWIiM6tJIvJlk86gFeBmcEyYQOXwd+ Lh+42QMHW3tFGy3owMl8ZGxApwfMo5w1hmzoYDO9bYlHqAeqRBKDNnjSQfo1 q2IU+gEhKszchp/o0NZfEE5f7Yb9jmj39AIdyIEfZqrsu+CEwbP0+T90sJxx d6g27AJjxcsnVpkYYH7D6UHy0S4IXmFY8GxmwMTt++d413fBTIBQ0pE9DPDq K128+aYTShM8JPw1GaDNGh8nXdYBhq3HlQSj8XEp8wz74TZgP765sjSOAYfe VYZ0lLZB5Yfec1eTGKB+KvPNYHQbyLq5X3+bwYDD12KPN5xvA849Bc931jDA s8pVN66wFb4FBmwvqmdAuuVGpoxXreDxyyjRuIUBTrJpJ9RsW4FWM18Q1ceA 94WaCf07W6HOXn6U/xcDrrmd6b/i3ALeXcyO+YsM2BX15M8vjRY4erJ16eI/ BnB099wZ29UCn7be4YzYRIDfIfkdTj7N4F+crsy7B/c5/Dxr5I3f4eQmiVBO HTwnfJQ/6lVaD0t3l3ZlGODcTISS2bP1kNlX+1H3Ms4Bt0Ov+TvrQCjTquT5 DQLUB7TTBMfI8NfowwS7O+6TBsNPV4x8gzx07+5nTwLo1abZhqbfwE7i9N+z /njO6j65f6ClBnr/UniCXuLc6Oy/4JRTDQVJe1RZP+E+Ifkqk5MOCRw5iNpP uE5nWh+SSE+tBDHXckMNPPenW/Z+WlxXCRHaZreflOI6qNC+0cgQgfNsTDgL zqE97OcNj3sXgaSprVASzjXPvNfk/LkCoFQrp57Cc3PNVGHawtWvoB/9o9wH 5+5mvbAcN65c2LQu5exenPPpm8b02I2zAdm5dlTgPiM3Yfr6RslMeNCpYXEN 90kBbJYp7M+/wP+934b/f7/9PyHgYOI= "]]}, Annotation[#, "Charting`Private`Tag#3"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]], Line[CompressedData[" 1:eJw12Hk4lN/7B3CULEkSabWklCUpW7LciUgl8UGiEiHZimQpW1IhlS1kTYQU Y82awyB79rGTNTEzDx9Zs3zP57p+v7/mel3zzDxnzpxzv+/zCJnf07NkYmBg MGdkYPjvVRJ2TW1sEEhzr7SPZ9FJuLcs7L+8QqBhT1K+Lj0RsnJPiMzNE4g4 mOEeYfwJZu2hijpDoO3bi7s5OEhw8qi2+cQ0gYTfaPnwUbPhwYgxw88JAvHo aWd0s+ZBXqx1fM8wgeLqdIV9ZvNBfodfb2MXgYJFvmu/0C8Ct4YQt+9tBFpm N9nR1l8Mxc8SdpU3Eah/a+u+LJ1SUFop1sutJJCzJhdsMCA4Mzpb/45EoPMK mYeiRyvgSdyGdVg6gZh/Oxq23iMD+eo2llcfCTR0f+Hkr0UyqDceVfOJIZDd k11da6uVoJVvWmL1gkArFNOu6eFq0HvR9FnalEA+huvygUp1EKbap3XMmECv dU5bZSfUQcffyV8iBng8u3TYdBjrwfD+5kN7LxKIr828RKq8HkyuKcYyyBMo g9Ml7bBkI1iIfwpq4iQQG2QcH+74AR/Hv4rVsBEIvaSHOhxuhomEqtryzfh9 rql+wYfNcJfn5+a8FTqK1ols3MLWAg5ruzyjJ+hI80BqkX5iC7g2+9nfKcP+ Yj4aWdEKQdMuXX8K6UgrLvnGkV+t8IHlrqpvLh09PiG515yjDRpBmzcujY4a es9ZDRu0wcEs3m9toXQUP1V2RXG8DX4Ep3Co3KGj7UXhO78vtIOIXu1nHi46 ohyTYFildYKSQzHvB3Y6+hNw9GLVVgroBn7xPs5MR9xNm2RNRSngQQ7+58IK DckPq+dtt6BA28lrf73HaKhSupXFoYsCnjunLkwX0tB26eGK1K9d0NGxdarC jIbYs4u3xhv3wBOL/LLP12moyeoFHHbqAck/N8PeXqUh77p3haEBPeC/M0fp rjYN1Tj5hAkV9oCyntEbLgUaSu/bo7+LpxdSmpNlTLloaMuyvU1YTS+41St7 r5ZRkRefgpU5fz8cKL/HI7+fioyknmQzvR2ERm5Z59N8VFTczXRNN3UQHlmu tCtzUxHXBem+kKJBoLA/C1NnpaLqvbT2yYFBCDaI5tb7M41Yry6ozR4egk3T VVz2jdPo8m4U6ZM7BL95925L8phGBdLWSZHmPyHftop5+8AUWkt8a2t5exhu BZ2Y6fH9jZg8DX6a647CUuhjfwST6OGqYLLR8BgkcQ7uiRqeQK1CM2u/bk5A 7IUTTu0B42jt5M64qPRf4Gtn5iaqNYZUmR8WxaBJeLwp3dWJNoIsDeQphk2/ wcyn+RAlbRjpyHtoxJKm4O238ahYm5+Ix+BwZo/rNBQPHeX4cnAQxS2MSjMr UkGY68xZ/fg+FLDeIDk/QIUcMX+bkdFudCP4jczuxzQYqs4WlJOjoAtsjnta mOgwLvH2JPrajkrbdQQyHemww+uTnCRjK5IuCRR/1UOH51+P1nIttiCrv1qv ZnvpsEJPvTZHbUGnUA27QT8dRkxTPAq7W1D9v+7X9gzRIUc1iXw2qwUN2e7Q ihyjgx5z3OWrpi3I3sfzpTVBhyN7hJoYHjejmHvI1mwzARJyhMTHuUakzxhX liNOgJWkt3fRQCNyKWjdWJQgIEFke1tTTSPiiZJWVpIkgJvvuOtCTCO6YrL2 pUKKgMVFhwpN9Ubk0cFnUS5LALmIbjAV3oBe13lcfAUEGCnTvY7L1aO1/MBW Sz0CQmW9WtUE61Hd9oftgf8Q0HCM85ARez16WKXZmalPgAq/ZJ3PYB0K3eDt mTMkQHjDfmfb8zoEtTfGHE0IoJfTUp27alE9o5eQigUBT9VpLUVuNeic0w2C 7yG+/3mqjsztGmQvJH57twsBDNrTPzK1a9Dz2POjfK4EeBj8bkw6WIP6Y5pZ edwJcLEar33V+B31NQZPM3gSYO0/UG4m+B3t7k0RzvAj4FJjUxZbbRXaoaa9 qBNGQGBL43G/nCp0wEdI8GQ4AbUdDZnrsVXo39q/V3e+JeDcQN2XOccqJD/L Pd8WgX8PvTptYF8VYg9dntCIJkCKq+x99r1K1HyuvpgxkQBe/czga3xk1H63 LKUyg4AckZfF5zaR0dCYWu6jTAKuLN8ZO0FUIA3d3TNSJHz/eKFT7DUVKHhq fCU6i4D1yfChYpcKtLcj0tAyl4AJz8eS+ynlKJxF6WR7IQEOOiFR30QR0g+U o+ysJCDtzwXqW0aEissctmRjj7zbfMahpww5jIdba1cRYDjm+os/oAwVPusl P60mANxvyvlMfkOLlLCWiRoCuJLEO86mliKD7z+Mnzfi8S5Ub689VIzIDQGu 4p0EvE7/QFZZLkLqbizMxdi2N70f5jcVoaCTo4maFAIOfT/V98EFe3yC7VYX ARFvP6d41haiKgb38Gc9BDySCVGWtitA+52145MG8Hgm7Wc+nSlAq1+vHxEe JEA69kKSIG8BOnXdvzwRm7ppMxtn2VdkaW4mHDtEwM12l47J7V8Ra5r2l2fD BJx1um4bn5uHcjabd4iPE8AvosDP65+HFCvVLGKx//bwtr68nofSTaY2c0wQ kKfaLOfOnIc0z2a4TWKL7DjLpH81FzWd5xOPmCSAPevIO7a/2ehj6/vKqmkC PvaNv/rtl4msei4y3JsloNdjV0KcdCbi9slSL8Xm5NfM0h3JQP0DLkWs/+L1 diutrQgy0LVlkEnA1hi34Qtc+Yw2as3vkecImKQT78Xuf0Iq+0kMI/ME7A8W zBnk/4Q6575rH1zA6+GEbmVoUxp6KxnRYIZd+CBnfEUsDYWzO1wbxA5YchZr GE9Bw6+elzUtEiDGtJJra5KMZhXO5DxbxvOTJFYtwJ6Mbr2icxRhh6qbUNoL k1A2S3TUNPbK89IlxV1JqKlg8ezlFbw/t3orc7QmIr8nsmNsf/F+yiBdLvdO REoLMjVy2DKXf5o6SyaiA88u95ljxwar+va/fI/MYCCiELtbjPX1tVfxiItC NjFeJeCM/d2siqk4FHaaVuODnUaqbxM9H4dmSi5YpmC7y7ziW2GKRSTbdGkC e68Kd2K02zvkYHdewHWNAF+fB5VMlCjEudOINxJ7mtwxbiMdhRinSUpfsUs1 I8UU6RGo+7WqwL/YN3T35/XdDkfFXWIyt9bxepmbV3hYFYaW/J7KuWN7RDQj zsNh6Fq/ilMIdmyfb4PqRAhS9x97i7AlvK7r9mmEIMZTbZ6d2CWCcl3OqcHo wnnRhCnsvIa2ap3W16gtcc9r7g0COriet/qGvkJhbfkmh7HnDBQG8v8JQr9P VpjLY5/8mfBnHyUAXcsRO3ANW/fwPww6kf7o6rmXLdbY9222cPgavUC5hOk3 V2zSHzvhyV4/ZN5+Vy0M+4eC4PF9sU8R27bE/gRsulf76cs3fFHezSukz9jb qp5rPOF/gpyT3Uq+YhtxOydbI280+XkvYwV2ZGxvyQ9VT6QiI+9Tj00RUW2X qXqE5Ok/TrVj82SnTkVruCEhjxGxPux/FDmZGOseokFHJ8MR7NBq5z13Lj5A g/reJZPYLTp9Uk1N99HhWDZjOjZ/3tNgq/d2SCNrx8k57JjaK+jkxzvIajpS bRF798AB+vonc6TyLvb1Crb4aKdCxA0TxLMosHMNW4TjfqTkHV1UJX2wdR3b p+Nox75KZVR0L6kW980gsX3AhvnYIZgtTVr+z5RZ3wSupfOwxi9s8Z9ndI78 e8/JENYDhVj/+/zjMI16W5lbkPorfvwv9rqXe0zCcUs4sy1mdem/77f5Ytcu ZgPx1bza89ibDIeUWUTugVgjZ9cMdqVgwIs4Lif42fQsehrbL+LgffnXznDp 7qPIcWwNjlKj1q2uEChJbRrEZvE1ULUNcIeLCb3KXdi1i3RRZhYP+CF57tcP 7EB7f+4EPy8YURWvr8ZOmQ323P/EB6YkgyZKsO/cEbP6uu4L4mklDR+xzx90 NX6q7AeLUf7h77CPDlRevuLxDPolmiKCsKf0bshPLb8AVesizfvY9dvSxQtO BUAzg+nCLezPtQsCfq6B8IrfbfAKtp1KMCv/fBC0STCYSGJrL/evTkm/hrZo O2IftmSe6GyB0xtY9Nf8xoq9FD5MPboUDOmqasw/8XovYn/cSX4YBpNeRzSe Yb8/xttOOhgO6pP1z2ywn18htcQ2h4P73y99l7H1I0YbXEQjoCtEuJ4He0bo EllsIApElcKy3+L92aU+gfgC34GVyviHB9hld3y+bZaPhsrqW+lXsF9m5BUO BseAqH7tXxZsEYUDpFD1ePgSy5Bmi+sDx/WCL96z8eD4ROPCWew5L910u/gE sKmIYdqNfWuErCfs8R4GkWV+Oa5HkkcXtdc6E+G51jZhFuy6XFP17IBkYGDk 3WeN659StUTlkZ/JoJTkuF8KO4uyrBov9xGcT0RLLy7hvFoOg5ejH4H5gWKS L7YF1J62VE6FqCqpF69xvd2olzqxZ/YTCI3J3niE67dT/xrpjWY6CJN6C6Wx J2j1klvi08GsaE6U+oeARi5LibkLn+FF991LxtjRhu+ONCV/gdTxvBBxnAey I4z8T4xIQNda4vswg8dffHVW6hMJojRFfPWwRUIzqn4ukyBeKl+ACXtr4hfZ 99pZQAoe+HOTIGD1ilH/Bj0LmHI+b9lOJ2AgiySKTuSAjV0S+TzOr95Y4518 xjnQ/vG3KXUK7yd/5jUH3xxoHDkq9Qb7xy2TFv72HBjRdLnb9hv/P1wsrl7O ufDIwU9FB+dhwv2bVcoFeXCsedH2IM7T2OtsmW+H8uBXj5ls0RgBUefzImks +RAD2id0sIMF2W3jjPLh1Bb/crdRvP9a8nesLefDgs0nRTLOazOpbaalSgWQ 56ARJ4nzXXimZPk0uQhynv5ptsP9g0eTmt8fWhHUCZl2DuL+gpLewJm5pxjG MngmdbADLfuEhRyLYeX2MdnjHXi99a5oswiWQKtAut1IKx5/tcKHds9SWBU8 dm5fEwHGMQUX7BQQOJoGnaaQcT13g87DlgiOiQ78EMXmNKwxHQpGkDif6+BR QUAFV5ez3iSCbmpeC385rpdqj3ViL5aD9Jvz+42+4XpTGO3uu1IO3WovK2ML CNBK6mm6bEQGIXuNfvvPeDzPMq2q7clgUJLulpKO58f66YbiUzKwTdw8MvgJ 5/+xYydEM8kwoni/5EIaAf6FPuGbNlfC20G10t0fcT1pOmJSSKqEls4GLv94 AjSXHk4KsVSDuO6rJ7nBuP/U5t40n18D5GmLXQpOuB8zY5tdrquBgcmyo5qO OI8fMgytD9RAQU//Hf37BNjE04tZt9QCjWO3nZ0Dvp6od9pvWAsfm+4Fhtrg 60Oejqgt1EJ6wfNtBeb4esqfilC5evDws39/C/fzb0y7fKQKGuHV4hXdE8fx /qcqwURjI5BaR+dnjhHg5f5hLWakERx482JI+DzhEGb/iIWzCfjiQ6ZExQi4 XLPJedCiCfre94VwH8bzfVzqThD3D/D1FZrO3YvHs+6vPWnfDFH+f8dlmQmo uXxg2xXuVpAfID893kUHmhCvV1t0O+wzfdp/3IUOD53Fzd7sokCJVkNsCisd uvq59Kxqu8G50DFo2IcGt9yVfrFc6gN2tSN+PrNUqBSXD6xkHoSGwoe2BWep IMJWOpl8/ie4eZaqswdNw4FS23PM/sOwWdwtVa56ChhWmD45jYxAqLVii0Xn b1jU/Xaz+vAY3NbPWXnQPwl9Mqb7DvuNQ7wQ4wyZ9AvuX+XacbB/Amy4BUI8 LCZgT/iY0eYDk8C1WrNowzYOmSbvU+fcfsOwv2SOw81RuKrsfb722xRM/m6c Nwobhv75ie1k8hRk+Wm8qXo5DOaZl7tKaqZgzUTdVdxvGOwE+K1IrVPg/f7c 3mnnYfBl/PY0YnwKHBNc1qQMhyGzeqXMYts0pAvyvmnlw7/jsoss441pCJop PCob+ROyb9ofPL06De3GJAkvtiEwz5858J6RCnnqYfVr84PAw+G8ZwsLFcKN RnTtRwbBpegRV9sOKnDdKE/cVzIIp3n81+8eocLmU5fasm0HgVz3ofedHhUS Lp6xSK0bgA6Z7tDlNDyve2OT81z74dlLk9emmXjebZUWqGb9IDcyGFCdS4WW NLIl16V+iHoz7hNSRoXubP8+PsF+uDH1r4NoBxWaV8vfC9f0wUTCtovXNqhQ am1bvMHVB0vsapuKDGiwLbpWQyC0B7jpnOFkYxrMitkqzj/qAfHW3kONpjRw 2rjOmXO7B25GOmkM3aVBZ1zIqSGZHqgU/hDA7EUD2Xae/I3ObnitxMill0KD a5NDirw7u+GwA9o/vUCDrqFh5V0uFFDRfZnx5y8NvKSYbA+aUMBI5qrKOgMd rMl25mxnKBC4QjfdsZUOEn/1Ai3ZKDDznD9JXoAOvj8FZjWiO6E0wVPUT5MO tlqP0cG8DtBrVZQ7EEUHyXukol5yG7Arbq0ojaNDpqegInN8G1Qk9168nkSH dJFCxyG3NpByczeLyaTDgiNoxRxrA06BgqA91XT4+26ZdSG0FersTo7y/ksH KpOhEOfFFvChMDrkL9Jhu+MZoT2CLXDqTOuS/hodFs8lHdD93QwpO+9zhrPi vjZWkDvgVDP4FWcocAvgOsqlnzdW1wRnWEWDOS8RoKzNHH8xsx6WHJf2Zuri PipMWHFMrR5IfTUfta/ivjdFRSG3qw74SVYlQbhODJgNs0Uu18KqQfIEOz5n N6u6R9gI10AeeuCY7oXrcNLdztzU72Arqraqhc/ZWx+drpcW/Q69q8M7At4Q 4GnqmcwpXA0FSQLKLCn4/kYBboemyeCwjahJwXU0nGr8XFSPDCKuZXoa2Tj3 Qx7UT+ZWQPiFG9bPSnEdJIXpS1qWw6U8iblDuI5zLF/Uv2WFYBP/qmcVPsfK 3VZcj539Bk6z0WGb2glQvDQ3nVNfDGImNvxJ3QQUHGMT7+QqguEqhU9ncQ69 dLWg9MkWQJQkm8wIzi0795bgXSfy4UpUd9kTnIvhdUysUvM5wMqUpiWEczfj 7A2LAtssQLauHeU4142U7B16W9PBpVPD9BY+V61JPOFtXPwA//c8GP7/efD/ AFYD6CU= "]]}, "Charting`Private`Tag#1"], Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12Hk0lG/7AHBZEjKhJMmaKEnIlyRdlBBJlBaJVNJr3woRQqJFErIMKruE pKy5rRn7MkyyVbaGmOcRFV7x3t9zfr+/5nzOuc/MNc+57mt5pC+7mtuxs7Gx Ca1hY/v3Uwk2T62uEohz/wfk/7kbXBe3hy8uEahjYdDYkNkNhW9V5OZ+Eehd zvq7gn+6QXWnyeWJHwR6NZC0Qt1EBw3B0P7WTwRyCfKlxJvSQWd0tjmhgEBn 21ReSDTQwfxe26t9NgRK8YqLds7vAe+OUGf7KhZaWNibIXSLAT09fFM1tjNI 20jjUu2hfhCvdt2ksW0aiZ0/cVyAOgTvHOu5NgxNIc48W+4q269w6aEK+Tl4 EgW6mKj9YR+BhWi/cARM5DpMejK9RiGNMiwa/20Cmefc13pJjgHVSMWDHjGO RiaMD62YTkCwk63PrmNj6Lzerntxod/BjyPX22NmBFEv26ScqmKCbVCHLCP7 G1pwl9BO7JiE2A/j8VSHr8g1bjhBvGkKyr/sXJ8nM4yMGgUcoe4HbBfQOXw6 ZQCVHM56fDJhGooUwh1GRvvQ9SNO/IZOM/Cl4Y2UujoDVQkKJwvIsWBcMVYV vaejEXnVu8eqWSAYkKOutKYLjfgKmdPMCQh7v5Mm8KcTsWi7zWpPE7DEyjo/ N92JqAcJmYozBIzYZPqX9nWisSdeh3IsCSjSTas9XNiJtsz7WHhfJsCcK/nE WZtOJPrsOseAOwHyotJtbH4dKOjsqHX1YwIU1QnFjLlWNFijv4mDRsA1pcDA sqFW9OyhUn5vEwGpchu62xpbkU2xwURmCwFCInu9fye1oi1iFJWjHQT8+eNS Y6DXihSO/lB2ZxBQW8aymIppQb183z+HjRFwTpsVsFe9GRlcGevMXiUg+p+A riNSzejzd7/4LDYSWvZQZM/xNqOY4ykit9aQcEhCqSlouAk9l97DIc5BwvZV 543dYU2Ie8njseVaEljVM1len2ho69VU/+L1JITozXSW+TQiE3G/nNEtJNQa TpuqXWlEO/6MHU8WJYHN5Ed7vkkjEk1qOnpmKwn+FpOtaTKN6LQux/6PYiTc vDZOe9T6EW3m3i+RIkHC9fChalupj6jdO2t2jywJx1vbCnlo9YjCSi5uUyLh fmfr3tCiemTNZ8vtsZcEWk9L/gq1HjX9TCkQVibh6FBT3px7PZqXfMB2QQX/ H1ZD9pBYPYqdk00f2keCskDV8zeudYg/yPpn7X4ShE/nR50XqUUteyZz+Q+T UCT3oPwoRy1SdJgXfYp9ctF+TIWoQaYDz+ZFjuDfT5Hez9tYg/ovZE1L6pGw woz5Un6zBq1nML/v1Cdh4raf0jZGNerM/8UraUSCi+mT+A+7EJqcVeegmpGQ PW80HbsGoYcfDccp5iSMJHDquHyuQrMdP1XvYJ8Z8/4uEVGF2O9sELx6igTw tVYPYn5AB60c+2QsSBBI291zOKsSCf/Jexp6Dsf7u2EDTbYcna46W9lnTUJk 7svaQ4tlKKnJTF7XhgRH68Ab79rKkKxW32g2tuzH/QMvb5YhNrP7ZjcvkRAX +yrzNq0UfTIIWV13mYRbak+09zmVoHWXaRn8djgepjOZo1OCbnWF73LE3kc1 SpMSLkF7s3pXGrGnOTh5KFXv0aW7m1ICr5FgTb/Zw9zwHo2tly+YsCfhsIeV Y8rbYuRimCoW40CChJymhHB4MeLbJlc6gf3fz8JdD6yK0Q8Lzcz9jiQU63ao +3IVI89lTu9+bDnBw+ynz75F6ZtUfgg7k8BbKJ/A8983KMx9UNzJlYSMgfFH k6H5yGwoMC/Wk4R+/82pyfvyUTv/Fe92bIqEQaHZyGsktW9f7lovnG+XsrvL 4DXSsUo0uIGtP+4gcn/pFfLcGWprfIMEJot4ruCWg15mNwgO3CRhW5RU0bBE Droi53OB1xvng4pZXXRbNlqIF+HXxC71LBpfUshGqVbi2THYEQteCi3jmejr Rb0Pej4kKLAvvXW8kI4UDdmuhvvi55Om0CDJm46UNwYr5mNH611g0EvTEA+d tKJjL4VVLmhtTkMaKrG/xG7h+8kXqL2+6wUKs1/kysRme11wojrwBVL8PMLf iK124quNl9ILlAllt79jU6N0gwcfPEdbfijGyvmR0KewLvL8oxTEqtibloyt 4/yfwpqpZPRPT9BUGXZ2QXP3LsNkZP6tKqEX21ftkcgSOxVx969R5vMnYesh oReJPgnoytE0LVfs4CDPOnZGPDLhtKoNw/5R2zPusC8e8ZWueZOMXWnwTEGL FYc4VzZ+bMK+aLateOBKDPrOcbpj622cL3O/NG/UP0UZbRH792D7x3Ugyo6n SOJR3AbApg4Et+hOPEHaM2rcttiKAVZmA/pP0Nijj/Lu2BVS6p+8sqKQvuze 90HYxS3dDaZdkUhD9e62FOwegbCu4OhH6GOOx/wr7DkLzaF3px4iARGNA2XY ql9T58UYEYjerbehG9tsxyk202fhyFg6MmUI281h7frgc/dQgF1+EhO7YN5p O7M/FAl1eH5Zxm7XlNorRg1BnvNb5NYG4HoYQD9w4mIwerwhtp+CzV8fpn9H 4g6yk2Iub8Y+J+SVfh0Fol9yQo8ksJ9R+yvadW8j2L7xwQ5shpwuXa3+Fjoi /OP3buxNb7KmEvV9EPvfhE4V7FNaFPY1TTfQrX7JLRrY0Q1eovbGnuj1a/82 LexO0wHltjY3lHizkARsieKQqGvPnZDuPxV3jmAn0U4i1Qx7lDZJDdLH3jIk zlrJuYyqnlrMGGLvHu3VjLt4AcXsG280wpZb7/ZMyd4MyTYZCxzHDurZ2SNW p41cTkd8/NeKG4YcuPbIgmdv8tS/ZswGpwosGILq8Qj/f02ayv909TgDuaXG /sbYfk/1mx3VLsHQ1vHJY9grAb5JqXvtoNnDosHg3+93yHOiKziARzWVchSb 48wXbW45V6BzVDToYtdJRdxLFvAA4mDhlDZ2aJyMm0akFzQ4+t/WxNZfX3mu i88bLKIkA9SwuYMtdB0jfCE1N2FaCZv2h7WLi9sf0sunaDux7zuHC6WGBsDl aqGNMtiZs1G3t90JgoEKwZat2Pb2CtferwTD8tOYUF5sQxlvyxDtUEhz2xK2 BnvnUN2Jk/53geuI568/OB+mzC9qTC3eg9+01+Kj2M38ubtL9kfAPf9HjE/Y r2i/JUO970PXDr2/LdhOh6LWSfx6CLHn1WOKsE0WB5en9kUCZcydMwNbqXjX bInHY9C9GjoSh70Q821650IUMI4qMX2wy3j9emtvPIXyR7Gi6tjP9wjTC2Ri QHPHmusy2GEnCzqpHTFwyPc6LwX7dNxoy81dcTBwRsF4FN9HUvp4rcJQPFxi 3qq8i/1JbwKJ3E8Awav1uU7YVfZBHzg1EsGQyjNjjv3gdXHpcFQSGB2+5yyO LacpXhCtlwLxV02tc3G9WG9Vkhc4mwL+9TenH2DPBZjlOqWkwsTXhHYn7Esj tebb/Z/DcVN6pCK20s4/Jn97X8BV9o2rabheNb210XsTkQ61NQ0pHrj+HWxQ rJP/mg48U9lOx7ALGYu6KeoZ0Nd+L1ISO27xKTwYzQDu9v3tTbi+XgXaATvt LCh6aa+9GXu1WVlFdDYH1DIW+iNx/fYY/Fvw2CAXvsU+Y1piT8w0K61NyYVN R1SN5LBbBewU54xeAT/dkqcC1//EMwnybel5YNTk4z2I+8M/I2sk7pwrgJ8U ptCqB46//Oysck4ByO8ejq3Hlot+Xf91sQAqN3KHRGDzvcj757lJIaw1mk0S xF4+eW5wlVUIYsbytK3uJAwVFuxCKkWgnyrKK4j7Vz/VcqOIZRH43Tmo3OaC 71M411+X4CIQUI6uDsduv3ShU4JeBFY/eyVXcP+rEuD2DvB6C+58qO+bEwmp btb12iXFkPxYRO0R7qdUK5782C/FQNew/wvY8YbFz2a438F/8iaVf/6HhCgp Xsfkc++geCmMcRo7qPOd4N/Fd9C8e/u2jddJsFXmt6k8WAILX75FeeL+vp2s WDxQWwZnonyk6vH84N92JHR+pgxGebokrLAZuS2UfNFyyLil6jyH54/7dgPb pd3LgaYrsCSJTfYvmXBLVUDENY0eNyscf4PmS/rtSpjjUbs/i+cXy6QSIydN BG6lE8sueD4q9oHeHXYIErdYL5Mncf8+02jzJQrBguuwsQd2jcAnL3MmglOc S/0eprheHvEzpRpXQ0gdtczRBNeb0kTf4KVqaEuK8jl4jIRjaZ/bTpyrBd5i lb/ndXA8d/OvNTjXwtFlrrc0wM/nesiqVkgtdP/SQerYzD17VHbl18Lw8lS/ wCESwkuDYjg466DFcoPkBy1cT9rkL5QW1AHLIqH/lzoJBgs3mNLcDWBxrEiC qYjnTxMhjl/vGuGt7EJ/x2Y8j9nyzC42NYJTuUOnFHbfDbYvK0ONEB9tpuou TIJDCqt83VoaGPH6awlswueJZo9tZ2ggKqJ3xUAQn38SMnLkNw2sMp+vS+TD 5xnzNdHqzTCtLmLxAs/zj20+BSmXtMICMotb24b3lemDMNHaCn5PJEcO4H0h wPfl36SRVpC9PtrtjPcJl6fOt7gpbUDImqR1NBBwopHDa/hqG1gPZq8GVxFA 2ats/1CoHbIO38nMLiAgciXchOncAePT7/KIKAIaT4jznxTqAv5SpSQnUwJm pIUDuhPp4KeSa5f4kQU3vHbbPt7MgJVtPZ7SSiz4NChgfo3WBy/zLB/KeM3A Jd+D37mPD0C0pumq6dtpqNutcb+OaxjspQ3sdNp+gBxPJTPd8CtEnmK55I1M gXil41Gu8G+gYiVdqDg1CWxL7DkeIyMwIkINHG9kwh+zD9YNO8agIlP1dUjG dxhQsxHbEToOHmJvOVMtJsDtrICgzOAE/DptlWn7ewxEY8bOcYozQSOyNiEy aRTyLzzPmvOZhGC3bo0Yygic1Q40pH2YgnD/U61m4V/hjbWzzIHlH1ByuIWZ xhqCBd4jHGUWM3BIWdnUwKYfzLu01MXjWRAYn1UuP8EAXi2+mspkFujcDq04 yWBATXq/sVUaCwbmztBvfmSAso+vbVI+CyLjBg3KMxlAkSx5KNrAgqk3DnoS 9gxoclIdFf7Jggyd6AeW33tBZ92uKMpxAuY+UMzTx3tgwX1ha74ZAReGklXc enugYKAxw+QsAXGRMjs1G3pAouBaxUO8d8ZmrresTe+BZYv0CV5fAu7lXel6 c6UHStIktbkzCbATEKdwfaODCz/RmPmKABkTrosvO+kg511lrv+GgGKx0dqD 1XSIMbp4/W4lAWYugfTrqXTwmE18ykHHeTd5YF3KRTooXHCQSOsj4GdxB0XW hA7f6jVzDg8ToCxkqZh1kA4n4/uq7kwSIBlsmpcuRod17NnHpAkCPsWUUyT5 6IAcvXuq5/HeqykWHrfUDTd79W0uLRHQ5Oq+hW+qG/7vfQj8//uQ/wGeE9sb "]]}, "Charting`Private`Tag#2"], Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12Hk0VP//B3BSibJGm0iRkOwpRa+UkBBKiVApspcUKruESkJIlqJC2Zfs 3gwytuxkN7YYM3OJbBXf9+ec3++vOY9z75n7njv3/Xq+XnfvDSfDW+uYmJic mJmY/vuUhm3UtTUCXbgQL3OtMxmclkUCl1cIRNtoJcYv/gWycuXE5n4TaEpR +juLdQbIi+vemJgm0HKZuUOvUQ4c4fHvbewmkLBuRIC5TCG4Nbxy+9ZGoMaF I0+6Q4ug+EnCtoomAkVKSjnYUotBZaXYMLeKQObpu2pQQBmcHJ2tf5NJoE5V hW6Ww5XgE7d2O/wzgYY1DTN211UC6TIH64uPBGJdci7kNSGBeqP4ae+3BNKk n7D55VwFZ/MtSqyeEuhr/lrVqG8NGD5t+qJgQaDVwl6+Uak6CFfrO3vIhEAf k3/8cY6ug44/kz/FjAjEorfGxLuuHi7dWS+66xyBsramqhY114PpleOxTEcI xLzcVXz0UiPcPJj6vImTQAPOY9/3CjTDx/GvkrVsBNKLaOvrc2iGiYRqcsV6 AklkSZjYoGaw4Rten7fCQM+fkA6EybSA479tHjETDFS9i20HW10LuDb7O1iX M9Dn0jGTqxOt8Hz6Qfd8IQNddjnQtGtzGySy2qj55jLQll5R7TsybdAIuvxx KQx0r0S5jvGgDfZl8Ze1hTHQCseZd1HM7fA99NOWE9YMpETv1DqwqQPEDMlf +LgZyDFf4E3RVCeoOBbzJ7JjFxYWXNnYBQbBaV4yGxjI/ehAX8e+LnhMCr2g vUJHWaHTvNdMu6BN/sofrzE6ujml82Okvgs8tlK1pwvpqLjoEkn1Qzd0dGym Vl6nI8uts2x1p3vA52Z++ZerdOTh3h520bQHpOfNw19fpqM5dx3NJuceCNya o2KjS0eiN16kBLzvAVVD45fcynT0q1ude/dqD3xq/qBowU1HPyRbGZTcXnCr V/X6W05DO+ri7u/h7QfBCie+I7tpiO+eDv+OmEFo5D3scmw7DZkd81joTRuE h7dW2lV5aehXYtCLF2gQutifhKtvoqHhYPuNpLFBCDWK4TWcn0bJWwVMbKSH gGW6mtuhcRqZjF4ILC0fgin+XRxJj6fRbxNtuRmbYci3q97ANUBFuS/unj1q S4Gjwo5yn7qpKD174ZmbMwWKO7abqbZREWuAi0DOQwpUqNrl2dVS0bd9dy14 nlGgnovXkpxNRctyo1K+XygwnGtR4RNARWaK8drHpinA/nfl4bwMFXFd/Rlr bzUC157LzfT4TiH9PVNOFXqjsBT2KBDBJHqqdCa3tW8MkjgHd0ZTJlAx1fAK p8UExGrLObcHjaOFIdrG/Zk/wdf+upvE2TH0PYHLMog0CY9YPrs600dQ3vuq 2yENU3Ddu1m0K4WCOkP31KR8ocLrsvHoWNthtOdb9UrA/WkoHhLfkrZvEJ3i Z99vo0IDEe6Tpy7G96G4C6XuVhQa5EgG2o6M/kASZeKFfh50GKrJFlZS6kLj t5hcZNYxYFzqtTz62o787qf7NTgygMczVUmauRXtsr1kn93FgICv4mTuxRZ0 bkREVuAHA1YYyVfmaC2oyVBd3r+HASMWnx4X/mhBrxwrZi70MyBHLYl0KqsF 9QQIGFApDDDcEKd32aIFudjNOfyiMeDAzr1NTI+aEWH6RM1xHQFSSoTUx7lG JCuzp5L5IAFW0l5eRQONiKySU20oRUCCGFdbU20jUlbuaUg8RADvdhnXhbeN aOda4QjIErC46Fipqd6IEl2eizgeJoBUxDCiRjSgsBxf1xggwFiV4SmjVI9M dX7FSV8gIOywZ+tp4Xr0WO0Fq8VFAhoOcYoas9ejMtFoyxAjAk4ISdd5D9Yh b5GlmanLBIisOWxtC6hDZ59RDSOuEsCooCe7dJPRLUfu2vxbBPip01uK3GpR 0T5zLXFXfH0t2nlFy1qk8UFSXs6NACbd6e8ZurXI8st7dmV3Ah4bTTUm7atF I0JqAWceEfDAapz8ovEbYnr/KMHAi4DbgQMV14W/oYKrKzuUnhKg09iUxUau Rp9VZx5LRxIQ3NIo459TjW4oXCjmiyKA3NGQsRpbjcYF1IaWsc8M1KXN3a1G 7FuMhyre4N/DqEkZEKhGR0N2fVWLI0CWu/xdtlMV2qDQmc35gQD+ixmhV7aT 0DjdmtaZRUCO2LPiMywklM4hzPw8mwD9ZesxOaISBZBN96nl4OvH7z3KXluJ 9isOBqfkErA6GTFU/KAS0aPHFu2+EjDh8Uh6d1cFGn3/4lZNCQGO519Fl0kg FL3TbKmqhoCUeW3aa2aEqkzsFk2/ETDyZv1Jx55ytIFCYpvDvjTm+lMoqBzp FfrYCJEJAHdzJe/JMrQ5kRC0rSeAO+lgx6nkUhRzh+lD53e83oUaLrJoMbLK 6fi81kVAyOdE0onlIqTv3cD9pJsAO3Ov+/lNRUih5LIj2w8CRL8d7Ut8UIR2 jF/j5eohIPL1l08e5EJEZJE4OPsIeKj4SlXBvgBpapwy6BvE65l0mEk9WYA8 So+76A8RoBCrnSTMX4ByqhejqrFpLOvZOMu/oiU+obHUYQLM2x90THJ9RYsn ed/dHiHglPNVu/jcPCTv/1mmYJwAITFlIf7APOTbTUnePUHAnx7+1mdX81Dk 9zRJH+w8tWYl9w15KGblsaHmTwLEeE6tu3g5F5F6nqqQJwlgzzrwhu1PNpqB GxvjpvH9tlyv492cjaJ8O5znsKu2U1YXkrIR24PuOS0aft68Ym6O6WSjZlY2 pVlshh6HLIrPQuOhVxqVGAR87Bt/MeWfgdxvi9ZFzhDQ+3hbQpxCBupuNN7U i80ppJllMJKOpsyKfHfP4uf1WkpbEaQjCmlcMgFbY9x2e/DKFzQzsv3S218E TDKId5J3UpGPx3ovp3kCdocK5wwKpSLe6sSUT9j6cgZVYU0piNm8gG8Au/Be zviKZAoqPriSr/mbgKAlF8mG8U/IfiJLnG+BAMl1K7l2ph/QlCGLZPAivr9J kjV72D+gykeOafnYYeqmXe2FSah/pMB1GHsloHTp+LYkdKn0ClVhCe/vzV6q W1rfI6HgmrNt2EzpmXoVXu9RyfNtgkvYinrDFi7S71GqMpeK4DIBsaFqvv3P 3iEBpG5+C/uH5KaQKy/iUczuCBU69kkHm6xKahxyGFm9z7GCn+fM+jYJrTg0 +DronxS2u+KL7SvrYlGL8d4lG+xdJ3jfx7i9QWOKq4l92L7e96rWdUWj/g5+ owXsaVLHuK1CNOqmOVzm/kNAqWaU5HFGJOp72KF7CtvMYHden2UEOjzdyxqP TZv7rXy/OhxxN13sycF+HNmMOPeHI6snr1lqsWP7fBvUJl6h5N37LenYUp5X Dfo0XqHzKk3Ra9glwkrdLsmhyCCLcYDnL37eGtpqzreGIO2TJy/IY3dwB7T6 hr1AdVzlhBr2nJHyQP6F5ygzSn9CH1t+OGFeoCsIXROAEXtsg/0XmM5HBaL1 WwZ+umPfsd24xdf4KWKP3aoVgJ05by8y2euPWKXKd8Rhf1cWlhGI9UOrR24H JWMzPNuP6Zn5ItnlbUbZ2BzVARo+Qj5oPpfyqBjbmNflw23khU5JDv4jYUfF 9pZ8V/NALTHCffXYXWJq7YrVD5FGRcnWNmy+7GRqjIYbcm2pSP6BfeE45zrm uvuo4hFEDWKH1bjstD53D12gnRkZxW453yfb1HQHldUMB05iC+X5hVq9s0cX RQWe0bDfkvWR/Edr1Ba7Oklg7xgQZKym3kAjx8MTf2EfHO1UjjQzRZQnQwXz 2GJb7kRJWxugsAeT4gvY3h3iHQJVqmjaO/v3f5biGrDdcEgUFkJUhBb/W/+s bwL3khbkMwcn/nd85vyBX07Ol0AsO9r3N/ajcI16O8VrYEC7VT6Hverp/jZB 5haYutONZv/7fts0+3ZJW8h7LXGWgc1yaUiVVcwJDBd4o6nYVcJBT+O4nYGF /O7UBLZ/5L47R0JcoDyTrEXB1thSaty62RVYGjw/92Gz+hqp2QW5w72sfOtO bPIiQ2ID62NQuWPu/R072CGQN8HfEyojbs9/w/40G+qx28cbDouQqsqxra0l rb6u+sK9f1td0rC19rma+Kn6Q3zF8MVEbPGBKj39x09Af/BjaBQ21dDsCHX5 KYwGZO/wxq7n+Hyw4GgQtPhU3LyH/YW8sMffNRhCiow3W2HbnwjdJPT7ObiZ fbQ+i6273P+XqhAC5UbbBI9hS+dJzBY4v4Saj0FSkthLERSa+FIoFKoMG2/C LmJ/1Em6Hw6eTr0jpXg/vDvE3565LwLaD3AkfMIO0M9siW2OAEJNP/Il9sXI 0YYHEpHQumnzYQvsmb06JMmBaOhMXz34G+/fbvUJtD34DViyORb9wC639i5b fyQGhL6RvEqwn6XnFQ6GvoVgwdF8T2wxZcHMMPV4IKQ3oT+4nmy5WpDmNRsP ta8L2Xuw5zwNPtvHJ8BCV9rzfOxrIyRDkcfvgBzLkLPHlhZf1P3X+R6EpY0X m3H9qsu1UM8O+gA18nZ8d3H9U6mRqjow/AFkdga9VsPO6lpWi1f6CHTRWxo8 2JHL4fBs9CNwrnofzsD19SaQj91STYbCLwIqg7j+rtXLyu2cTQXGpJzHNlyf nfv/Zb7U/AwBfucqeuZw3tDrpTfGY0fKH4zFbuS+JTWn/QUKRNQfCGHHXHpz oOlDGuj0KbftwHlweIRZyMc4E0qkI0XHCLz+4suzsqmZoBHkkxSPLRaWXj28 nAlJL03NjbE3v087/E43CzQXfz2pw/n0V9+4f42RBQWCx14m0gkYyMqUQHI5 oHNDU1AG511vrMnW7SY5YIg27x2g4v0UuOGfo28OHNP5ZRyM/f2aaYtQew6U L0pYjkzh/4eb1dXTJReiFK60B+I8TbhjXq1akAfGccdyM3A+x15ly3g9lAfj aa5l57GjtfKi6Kz5kJQ3MkeMERAqzG4XZ5wPGpJao4ewvVvyef4t5wOs+pYn 4Ly/LsthUapSAJYGCssmuD8QmSlZPkYqglolM3Ep3H88bjrtP08vAk9db49k 3J90fW7gzNhZDBpcvOS92MG3+kT23i2GA1rnj2/F/cxM74ouq3AJiBZxP5tq x+uvUU5s9yiFO9FFJpbNBJi8LdC2V0ZgN25vGoj7qzw36Nx/C8Gu3K9WlGqc 35dqLYZCEby97m6sjF3J3e1iOIkg1WKBPk7C9fL0o/Ox5yqAfIinW64C15vC GHfflQooPMxvElFMwNmkniY9YxJ82Vig65uB1/Mkw6rGgQSqv+f0StLx/bnt t3bcjwRX1XWU59Jw/h86JCeRQQKO2nGyxRcCAgu9I1jWV4F0iU7rwRRcT5oO mBZmVsH3Ht6HL98ToLl0f3Ivaw2om4nIPAnH/asuL8vv/FpofuNdLuuC+7nr bLPLdbVQ0v/xudI9nMf3mYZWB2qh6dJXp+POBNjGM4o3bSSD7Lbq+6fu4POJ eufdl8jQLPE36Iw9Pv+V38jpBTKc3vVwp/BNfH7XfGWYUj08XORRlsDzwEuL bm/Zgka4N/ut/Z003v80FZhobAQzG6dvF/G84eme+O/tSCOc+La9khXPI47h Dg9ZOZvge4BPi60EAXq1LC6DN5tA3eGy1X5RfL9lZK2f836Hkk5fiv1OvJ7V QN1Jh2ZIpT8I0WIhoFZPkEOftxVSgxQWtDsYQN/L79kW0w4LSPsM3GPAfZeD 119u6wKfat/VYVYGdPdzG1qRf8CojdBjBT86XHNX+cmq0we6t2+qMf2mQdXB I8FVGwZh5bp7A6jTQIytdPKD1jDofX2rwhE8DYKldmc2BFIgdMPnEvVKKjCt rEt1HhmB4ZWaxoftU7BoUGZes38Mcq94354dnIQ+RQuB/f7joGJ02uhi3k+4 c5mbZ1//BLjk8rGU35yAnRFjxusFJ6HQ6Ce/9PpxyDB9lzznNgXmzfTzL01H QbFbZGWj5xTkTZGK1i6OQolhss4uvynoLa1e54DnY/LZjNmTL6bgobX89hNq ozB6pPR4yPspyBFk+BeJjcIOvh/N4vVT8D7ZcYxzdgR8G7mWzASoIL09pWDJ dwQuq3ppkcuo0FNBPvfqDQX6f09wkUhUSFuJjt8eRoEbGXrdJbVU0N/C6R4d TAH7PUJWma1UQBxlEUGPKODLXOYXOU6FbA8FfnEzCmTUrJTf5JgGnRK95HN7 KLBe78FhZrNpkCdeOffED0O2ucO+Y3+n4XhxieMlniG4kT8j+I6ZBsFDi9a3 /g0C3xaXnRtZaRAp99Tn+tQgPCh6yN3Gg+dwo8o+4cpBOMYXuGpzgAanD+78 Wuw0CKS6xN43hjSYf2i8zaBuADoUf4Qtp9DArCentt2hH548Mw2xyKBBCZd2 kMvlflAaGQyqycXXK60IZlbrh+iX496vymmwiY9Xc3hrP5hRfzlKdNBA3H+3 W1ZhH0wkcJy7skaD7B2bc96s9sIS+2mWIiM6tJIvJlk86gFeBmcEyYQOXwd+ Lh+42QMHW3tFGy3owMl8ZGxApwfMo5w1hmzoYDO9bYlHqAeqRBKDNnjSQfo1 q2IU+gEhKszchp/o0NZfEE5f7Yb9jmj39AIdyIEfZqrsu+CEwbP0+T90sJxx d6g27AJjxcsnVpkYYH7D6UHy0S4IXmFY8GxmwMTt++d413fBTIBQ0pE9DPDq K128+aYTShM8JPw1GaDNGh8nXdYBhq3HlQSj8XEp8wz74TZgP765sjSOAYfe VYZ0lLZB5Yfec1eTGKB+KvPNYHQbyLq5X3+bwYDD12KPN5xvA849Bc931jDA s8pVN66wFb4FBmwvqmdAuuVGpoxXreDxyyjRuIUBTrJpJ9RsW4FWM18Q1ceA 94WaCf07W6HOXn6U/xcDrrmd6b/i3ALeXcyO+YsM2BX15M8vjRY4erJ16eI/ BnB099wZ29UCn7be4YzYRIDfIfkdTj7N4F+crsy7B/c5/Dxr5I3f4eQmiVBO HTwnfJQ/6lVaD0t3l3ZlGODcTISS2bP1kNlX+1H3Ms4Bt0Ov+TvrQCjTquT5 DQLUB7TTBMfI8NfowwS7O+6TBsNPV4x8gzx07+5nTwLo1abZhqbfwE7i9N+z /njO6j65f6ClBnr/UniCXuLc6Oy/4JRTDQVJe1RZP+E+Ifkqk5MOCRw5iNpP uE5nWh+SSE+tBDHXckMNPPenW/Z+WlxXCRHaZreflOI6qNC+0cgQgfNsTDgL zqE97OcNj3sXgaSprVASzjXPvNfk/LkCoFQrp57Cc3PNVGHawtWvoB/9o9wH 5+5mvbAcN65c2LQu5exenPPpm8b02I2zAdm5dlTgPiM3Yfr6RslMeNCpYXEN 90kBbJYp7M+/wP+934b/f7/9PyHgYOI= "]]}, "Charting`Private`Tag#3"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-1, 1}, {0., 1.0308350720127606`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-1, 1}, {0., 1.0308350720127606`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]], Line[CompressedData[" 1:eJw12Hk4lN/7B3CULEkSabWklCUpW7LciUgl8UGiEiHZimQpW1IhlS1kTYQU Y82awyB79rGTNTEzDx9Zs3zP57p+v7/mel3zzDxnzpxzv+/zCJnf07NkYmBg MGdkYPjvVRJ2TW1sEEhzr7SPZ9FJuLcs7L+8QqBhT1K+Lj0RsnJPiMzNE4g4 mOEeYfwJZu2hijpDoO3bi7s5OEhw8qi2+cQ0gYTfaPnwUbPhwYgxw88JAvHo aWd0s+ZBXqx1fM8wgeLqdIV9ZvNBfodfb2MXgYJFvmu/0C8Ct4YQt+9tBFpm N9nR1l8Mxc8SdpU3Eah/a+u+LJ1SUFop1sutJJCzJhdsMCA4Mzpb/45EoPMK mYeiRyvgSdyGdVg6gZh/Oxq23iMD+eo2llcfCTR0f+Hkr0UyqDceVfOJIZDd k11da6uVoJVvWmL1gkArFNOu6eFq0HvR9FnalEA+huvygUp1EKbap3XMmECv dU5bZSfUQcffyV8iBng8u3TYdBjrwfD+5kN7LxKIr828RKq8HkyuKcYyyBMo g9Ml7bBkI1iIfwpq4iQQG2QcH+74AR/Hv4rVsBEIvaSHOhxuhomEqtryzfh9 rql+wYfNcJfn5+a8FTqK1ols3MLWAg5ruzyjJ+hI80BqkX5iC7g2+9nfKcP+ Yj4aWdEKQdMuXX8K6UgrLvnGkV+t8IHlrqpvLh09PiG515yjDRpBmzcujY4a es9ZDRu0wcEs3m9toXQUP1V2RXG8DX4Ep3Co3KGj7UXhO78vtIOIXu1nHi46 ohyTYFildYKSQzHvB3Y6+hNw9GLVVgroBn7xPs5MR9xNm2RNRSngQQ7+58IK DckPq+dtt6BA28lrf73HaKhSupXFoYsCnjunLkwX0tB26eGK1K9d0NGxdarC jIbYs4u3xhv3wBOL/LLP12moyeoFHHbqAck/N8PeXqUh77p3haEBPeC/M0fp rjYN1Tj5hAkV9oCyntEbLgUaSu/bo7+LpxdSmpNlTLloaMuyvU1YTS+41St7 r5ZRkRefgpU5fz8cKL/HI7+fioyknmQzvR2ERm5Z59N8VFTczXRNN3UQHlmu tCtzUxHXBem+kKJBoLA/C1NnpaLqvbT2yYFBCDaI5tb7M41Yry6ozR4egk3T VVz2jdPo8m4U6ZM7BL95925L8phGBdLWSZHmPyHftop5+8AUWkt8a2t5exhu BZ2Y6fH9jZg8DX6a647CUuhjfwST6OGqYLLR8BgkcQ7uiRqeQK1CM2u/bk5A 7IUTTu0B42jt5M64qPRf4Gtn5iaqNYZUmR8WxaBJeLwp3dWJNoIsDeQphk2/ wcyn+RAlbRjpyHtoxJKm4O238ahYm5+Ix+BwZo/rNBQPHeX4cnAQxS2MSjMr UkGY68xZ/fg+FLDeIDk/QIUcMX+bkdFudCP4jczuxzQYqs4WlJOjoAtsjnta mOgwLvH2JPrajkrbdQQyHemww+uTnCRjK5IuCRR/1UOH51+P1nIttiCrv1qv ZnvpsEJPvTZHbUGnUA27QT8dRkxTPAq7W1D9v+7X9gzRIUc1iXw2qwUN2e7Q ihyjgx5z3OWrpi3I3sfzpTVBhyN7hJoYHjejmHvI1mwzARJyhMTHuUakzxhX liNOgJWkt3fRQCNyKWjdWJQgIEFke1tTTSPiiZJWVpIkgJvvuOtCTCO6YrL2 pUKKgMVFhwpN9Ubk0cFnUS5LALmIbjAV3oBe13lcfAUEGCnTvY7L1aO1/MBW Sz0CQmW9WtUE61Hd9oftgf8Q0HCM85ARez16WKXZmalPgAq/ZJ3PYB0K3eDt mTMkQHjDfmfb8zoEtTfGHE0IoJfTUp27alE9o5eQigUBT9VpLUVuNeic0w2C 7yG+/3mqjsztGmQvJH57twsBDNrTPzK1a9Dz2POjfK4EeBj8bkw6WIP6Y5pZ edwJcLEar33V+B31NQZPM3gSYO0/UG4m+B3t7k0RzvAj4FJjUxZbbRXaoaa9 qBNGQGBL43G/nCp0wEdI8GQ4AbUdDZnrsVXo39q/V3e+JeDcQN2XOccqJD/L Pd8WgX8PvTptYF8VYg9dntCIJkCKq+x99r1K1HyuvpgxkQBe/czga3xk1H63 LKUyg4AckZfF5zaR0dCYWu6jTAKuLN8ZO0FUIA3d3TNSJHz/eKFT7DUVKHhq fCU6i4D1yfChYpcKtLcj0tAyl4AJz8eS+ynlKJxF6WR7IQEOOiFR30QR0g+U o+ysJCDtzwXqW0aEissctmRjj7zbfMahpww5jIdba1cRYDjm+os/oAwVPusl P60mANxvyvlMfkOLlLCWiRoCuJLEO86mliKD7z+Mnzfi8S5Ub689VIzIDQGu 4p0EvE7/QFZZLkLqbizMxdi2N70f5jcVoaCTo4maFAIOfT/V98EFe3yC7VYX ARFvP6d41haiKgb38Gc9BDySCVGWtitA+52145MG8Hgm7Wc+nSlAq1+vHxEe JEA69kKSIG8BOnXdvzwRm7ppMxtn2VdkaW4mHDtEwM12l47J7V8Ra5r2l2fD BJx1um4bn5uHcjabd4iPE8AvosDP65+HFCvVLGKx//bwtr68nofSTaY2c0wQ kKfaLOfOnIc0z2a4TWKL7DjLpH81FzWd5xOPmCSAPevIO7a/2ehj6/vKqmkC PvaNv/rtl4msei4y3JsloNdjV0KcdCbi9slSL8Xm5NfM0h3JQP0DLkWs/+L1 diutrQgy0LVlkEnA1hi34Qtc+Yw2as3vkecImKQT78Xuf0Iq+0kMI/ME7A8W zBnk/4Q6575rH1zA6+GEbmVoUxp6KxnRYIZd+CBnfEUsDYWzO1wbxA5YchZr GE9Bw6+elzUtEiDGtJJra5KMZhXO5DxbxvOTJFYtwJ6Mbr2icxRhh6qbUNoL k1A2S3TUNPbK89IlxV1JqKlg8ezlFbw/t3orc7QmIr8nsmNsf/F+yiBdLvdO REoLMjVy2DKXf5o6SyaiA88u95ljxwar+va/fI/MYCCiELtbjPX1tVfxiItC NjFeJeCM/d2siqk4FHaaVuODnUaqbxM9H4dmSi5YpmC7y7ziW2GKRSTbdGkC e68Kd2K02zvkYHdewHWNAF+fB5VMlCjEudOINxJ7mtwxbiMdhRinSUpfsUs1 I8UU6RGo+7WqwL/YN3T35/XdDkfFXWIyt9bxepmbV3hYFYaW/J7KuWN7RDQj zsNh6Fq/ilMIdmyfb4PqRAhS9x97i7AlvK7r9mmEIMZTbZ6d2CWCcl3OqcHo wnnRhCnsvIa2ap3W16gtcc9r7g0COriet/qGvkJhbfkmh7HnDBQG8v8JQr9P VpjLY5/8mfBnHyUAXcsRO3ANW/fwPww6kf7o6rmXLdbY9222cPgavUC5hOk3 V2zSHzvhyV4/ZN5+Vy0M+4eC4PF9sU8R27bE/gRsulf76cs3fFHezSukz9jb qp5rPOF/gpyT3Uq+YhtxOydbI280+XkvYwV2ZGxvyQ9VT6QiI+9Tj00RUW2X qXqE5Ok/TrVj82SnTkVruCEhjxGxPux/FDmZGOseokFHJ8MR7NBq5z13Lj5A g/reJZPYLTp9Uk1N99HhWDZjOjZ/3tNgq/d2SCNrx8k57JjaK+jkxzvIajpS bRF798AB+vonc6TyLvb1Crb4aKdCxA0TxLMosHMNW4TjfqTkHV1UJX2wdR3b p+Nox75KZVR0L6kW980gsX3AhvnYIZgtTVr+z5RZ3wSupfOwxi9s8Z9ndI78 e8/JENYDhVj/+/zjMI16W5lbkPorfvwv9rqXe0zCcUs4sy1mdem/77f5Ytcu ZgPx1bza89ibDIeUWUTugVgjZ9cMdqVgwIs4Lif42fQsehrbL+LgffnXznDp 7qPIcWwNjlKj1q2uEChJbRrEZvE1ULUNcIeLCb3KXdi1i3RRZhYP+CF57tcP 7EB7f+4EPy8YURWvr8ZOmQ323P/EB6YkgyZKsO/cEbP6uu4L4mklDR+xzx90 NX6q7AeLUf7h77CPDlRevuLxDPolmiKCsKf0bshPLb8AVesizfvY9dvSxQtO BUAzg+nCLezPtQsCfq6B8IrfbfAKtp1KMCv/fBC0STCYSGJrL/evTkm/hrZo O2IftmSe6GyB0xtY9Nf8xoq9FD5MPboUDOmqasw/8XovYn/cSX4YBpNeRzSe Yb8/xttOOhgO6pP1z2ywn18htcQ2h4P73y99l7H1I0YbXEQjoCtEuJ4He0bo EllsIApElcKy3+L92aU+gfgC34GVyviHB9hld3y+bZaPhsrqW+lXsF9m5BUO BseAqH7tXxZsEYUDpFD1ePgSy5Bmi+sDx/WCL96z8eD4ROPCWew5L910u/gE sKmIYdqNfWuErCfs8R4GkWV+Oa5HkkcXtdc6E+G51jZhFuy6XFP17IBkYGDk 3WeN659StUTlkZ/JoJTkuF8KO4uyrBov9xGcT0RLLy7hvFoOg5ejH4H5gWKS L7YF1J62VE6FqCqpF69xvd2olzqxZ/YTCI3J3niE67dT/xrpjWY6CJN6C6Wx J2j1klvi08GsaE6U+oeARi5LibkLn+FF991LxtjRhu+ONCV/gdTxvBBxnAey I4z8T4xIQNda4vswg8dffHVW6hMJojRFfPWwRUIzqn4ukyBeKl+ACXtr4hfZ 99pZQAoe+HOTIGD1ilH/Bj0LmHI+b9lOJ2AgiySKTuSAjV0S+TzOr95Y4518 xjnQ/vG3KXUK7yd/5jUH3xxoHDkq9Qb7xy2TFv72HBjRdLnb9hv/P1wsrl7O ufDIwU9FB+dhwv2bVcoFeXCsedH2IM7T2OtsmW+H8uBXj5ls0RgBUefzImks +RAD2id0sIMF2W3jjPLh1Bb/crdRvP9a8nesLefDgs0nRTLOazOpbaalSgWQ 56ARJ4nzXXimZPk0uQhynv5ptsP9g0eTmt8fWhHUCZl2DuL+gpLewJm5pxjG MngmdbADLfuEhRyLYeX2MdnjHXi99a5oswiWQKtAut1IKx5/tcKHds9SWBU8 dm5fEwHGMQUX7BQQOJoGnaaQcT13g87DlgiOiQ78EMXmNKwxHQpGkDif6+BR QUAFV5ez3iSCbmpeC385rpdqj3ViL5aD9Jvz+42+4XpTGO3uu1IO3WovK2ML CNBK6mm6bEQGIXuNfvvPeDzPMq2q7clgUJLulpKO58f66YbiUzKwTdw8MvgJ 5/+xYydEM8kwoni/5EIaAf6FPuGbNlfC20G10t0fcT1pOmJSSKqEls4GLv94 AjSXHk4KsVSDuO6rJ7nBuP/U5t40n18D5GmLXQpOuB8zY5tdrquBgcmyo5qO OI8fMgytD9RAQU//Hf37BNjE04tZt9QCjWO3nZ0Dvp6od9pvWAsfm+4Fhtrg 60Oejqgt1EJ6wfNtBeb4esqfilC5evDws39/C/fzb0y7fKQKGuHV4hXdE8fx /qcqwURjI5BaR+dnjhHg5f5hLWakERx482JI+DzhEGb/iIWzCfjiQ6ZExQi4 XLPJedCiCfre94VwH8bzfVzqThD3D/D1FZrO3YvHs+6vPWnfDFH+f8dlmQmo uXxg2xXuVpAfID893kUHmhCvV1t0O+wzfdp/3IUOD53Fzd7sokCJVkNsCisd uvq59Kxqu8G50DFo2IcGt9yVfrFc6gN2tSN+PrNUqBSXD6xkHoSGwoe2BWep IMJWOpl8/ie4eZaqswdNw4FS23PM/sOwWdwtVa56ChhWmD45jYxAqLVii0Xn b1jU/Xaz+vAY3NbPWXnQPwl9Mqb7DvuNQ7wQ4wyZ9AvuX+XacbB/Amy4BUI8 LCZgT/iY0eYDk8C1WrNowzYOmSbvU+fcfsOwv2SOw81RuKrsfb722xRM/m6c Nwobhv75ie1k8hRk+Wm8qXo5DOaZl7tKaqZgzUTdVdxvGOwE+K1IrVPg/f7c 3mnnYfBl/PY0YnwKHBNc1qQMhyGzeqXMYts0pAvyvmnlw7/jsoss441pCJop PCob+ROyb9ofPL06De3GJAkvtiEwz5858J6RCnnqYfVr84PAw+G8ZwsLFcKN RnTtRwbBpegRV9sOKnDdKE/cVzIIp3n81+8eocLmU5fasm0HgVz3ofedHhUS Lp6xSK0bgA6Z7tDlNDyve2OT81z74dlLk9emmXjebZUWqGb9IDcyGFCdS4WW NLIl16V+iHoz7hNSRoXubP8+PsF+uDH1r4NoBxWaV8vfC9f0wUTCtovXNqhQ am1bvMHVB0vsapuKDGiwLbpWQyC0B7jpnOFkYxrMitkqzj/qAfHW3kONpjRw 2rjOmXO7B25GOmkM3aVBZ1zIqSGZHqgU/hDA7EUD2Xae/I3ObnitxMill0KD a5NDirw7u+GwA9o/vUCDrqFh5V0uFFDRfZnx5y8NvKSYbA+aUMBI5qrKOgMd rMl25mxnKBC4QjfdsZUOEn/1Ai3ZKDDznD9JXoAOvj8FZjWiO6E0wVPUT5MO tlqP0cG8DtBrVZQ7EEUHyXukol5yG7Arbq0ojaNDpqegInN8G1Qk9168nkSH dJFCxyG3NpByczeLyaTDgiNoxRxrA06BgqA91XT4+26ZdSG0FersTo7y/ksH KpOhEOfFFvChMDrkL9Jhu+MZoT2CLXDqTOuS/hodFs8lHdD93QwpO+9zhrPi vjZWkDvgVDP4FWcocAvgOsqlnzdW1wRnWEWDOS8RoKzNHH8xsx6WHJf2Zuri PipMWHFMrR5IfTUfta/ivjdFRSG3qw74SVYlQbhODJgNs0Uu18KqQfIEOz5n N6u6R9gI10AeeuCY7oXrcNLdztzU72Arqraqhc/ZWx+drpcW/Q69q8M7At4Q 4GnqmcwpXA0FSQLKLCn4/kYBboemyeCwjahJwXU0nGr8XFSPDCKuZXoa2Tj3 Qx7UT+ZWQPiFG9bPSnEdJIXpS1qWw6U8iblDuI5zLF/Uv2WFYBP/qmcVPsfK 3VZcj539Bk6z0WGb2glQvDQ3nVNfDGImNvxJ3QQUHGMT7+QqguEqhU9ncQ69 dLWg9MkWQJQkm8wIzi0795bgXSfy4UpUd9kTnIvhdUysUvM5wMqUpiWEczfj 7A2LAtssQLauHeU4142U7B16W9PBpVPD9BY+V61JPOFtXPwA//c8GP7/efD/ AFYD6CU= "]]}, "Charting`Private`Tag#1"], Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12Hk0lG/7AHBZEjKhJMmaKEnIlyRdlBBJlBaJVNJr3woRQqJFErIMKruE pKy5rRn7MkyyVbaGmOcRFV7x3t9zfr+/5nzOuc/MNc+57mt5pC+7mtuxs7Gx Ca1hY/v3Uwk2T62uEohz/wfk/7kbXBe3hy8uEahjYdDYkNkNhW9V5OZ+Eehd zvq7gn+6QXWnyeWJHwR6NZC0Qt1EBw3B0P7WTwRyCfKlxJvSQWd0tjmhgEBn 21ReSDTQwfxe26t9NgRK8YqLds7vAe+OUGf7KhZaWNibIXSLAT09fFM1tjNI 20jjUu2hfhCvdt2ksW0aiZ0/cVyAOgTvHOu5NgxNIc48W+4q269w6aEK+Tl4 EgW6mKj9YR+BhWi/cARM5DpMejK9RiGNMiwa/20Cmefc13pJjgHVSMWDHjGO RiaMD62YTkCwk63PrmNj6Lzerntxod/BjyPX22NmBFEv26ScqmKCbVCHLCP7 G1pwl9BO7JiE2A/j8VSHr8g1bjhBvGkKyr/sXJ8nM4yMGgUcoe4HbBfQOXw6 ZQCVHM56fDJhGooUwh1GRvvQ9SNO/IZOM/Cl4Y2UujoDVQkKJwvIsWBcMVYV vaejEXnVu8eqWSAYkKOutKYLjfgKmdPMCQh7v5Mm8KcTsWi7zWpPE7DEyjo/ N92JqAcJmYozBIzYZPqX9nWisSdeh3IsCSjSTas9XNiJtsz7WHhfJsCcK/nE WZtOJPrsOseAOwHyotJtbH4dKOjsqHX1YwIU1QnFjLlWNFijv4mDRsA1pcDA sqFW9OyhUn5vEwGpchu62xpbkU2xwURmCwFCInu9fye1oi1iFJWjHQT8+eNS Y6DXihSO/lB2ZxBQW8aymIppQb183z+HjRFwTpsVsFe9GRlcGevMXiUg+p+A riNSzejzd7/4LDYSWvZQZM/xNqOY4ykit9aQcEhCqSlouAk9l97DIc5BwvZV 543dYU2Ie8njseVaEljVM1len2ho69VU/+L1JITozXSW+TQiE3G/nNEtJNQa TpuqXWlEO/6MHU8WJYHN5Ed7vkkjEk1qOnpmKwn+FpOtaTKN6LQux/6PYiTc vDZOe9T6EW3m3i+RIkHC9fChalupj6jdO2t2jywJx1vbCnlo9YjCSi5uUyLh fmfr3tCiemTNZ8vtsZcEWk9L/gq1HjX9TCkQVibh6FBT3px7PZqXfMB2QQX/ H1ZD9pBYPYqdk00f2keCskDV8zeudYg/yPpn7X4ShE/nR50XqUUteyZz+Q+T UCT3oPwoRy1SdJgXfYp9ctF+TIWoQaYDz+ZFjuDfT5Hez9tYg/ovZE1L6pGw woz5Un6zBq1nML/v1Cdh4raf0jZGNerM/8UraUSCi+mT+A+7EJqcVeegmpGQ PW80HbsGoYcfDccp5iSMJHDquHyuQrMdP1XvYJ8Z8/4uEVGF2O9sELx6igTw tVYPYn5AB60c+2QsSBBI291zOKsSCf/Jexp6Dsf7u2EDTbYcna46W9lnTUJk 7svaQ4tlKKnJTF7XhgRH68Ab79rKkKxW32g2tuzH/QMvb5YhNrP7ZjcvkRAX +yrzNq0UfTIIWV13mYRbak+09zmVoHWXaRn8djgepjOZo1OCbnWF73LE3kc1 SpMSLkF7s3pXGrGnOTh5KFXv0aW7m1ICr5FgTb/Zw9zwHo2tly+YsCfhsIeV Y8rbYuRimCoW40CChJymhHB4MeLbJlc6gf3fz8JdD6yK0Q8Lzcz9jiQU63ao +3IVI89lTu9+bDnBw+ynz75F6ZtUfgg7k8BbKJ/A8983KMx9UNzJlYSMgfFH k6H5yGwoMC/Wk4R+/82pyfvyUTv/Fe92bIqEQaHZyGsktW9f7lovnG+XsrvL 4DXSsUo0uIGtP+4gcn/pFfLcGWprfIMEJot4ruCWg15mNwgO3CRhW5RU0bBE Droi53OB1xvng4pZXXRbNlqIF+HXxC71LBpfUshGqVbi2THYEQteCi3jmejr Rb0Pej4kKLAvvXW8kI4UDdmuhvvi55Om0CDJm46UNwYr5mNH611g0EvTEA+d tKJjL4VVLmhtTkMaKrG/xG7h+8kXqL2+6wUKs1/kysRme11wojrwBVL8PMLf iK124quNl9ILlAllt79jU6N0gwcfPEdbfijGyvmR0KewLvL8oxTEqtibloyt 4/yfwpqpZPRPT9BUGXZ2QXP3LsNkZP6tKqEX21ftkcgSOxVx969R5vMnYesh oReJPgnoytE0LVfs4CDPOnZGPDLhtKoNw/5R2zPusC8e8ZWueZOMXWnwTEGL FYc4VzZ+bMK+aLateOBKDPrOcbpj622cL3O/NG/UP0UZbRH792D7x3Ugyo6n SOJR3AbApg4Et+hOPEHaM2rcttiKAVZmA/pP0Nijj/Lu2BVS6p+8sqKQvuze 90HYxS3dDaZdkUhD9e62FOwegbCu4OhH6GOOx/wr7DkLzaF3px4iARGNA2XY ql9T58UYEYjerbehG9tsxyk202fhyFg6MmUI281h7frgc/dQgF1+EhO7YN5p O7M/FAl1eH5Zxm7XlNorRg1BnvNb5NYG4HoYQD9w4mIwerwhtp+CzV8fpn9H 4g6yk2Iub8Y+J+SVfh0Fol9yQo8ksJ9R+yvadW8j2L7xwQ5shpwuXa3+Fjoi /OP3buxNb7KmEvV9EPvfhE4V7FNaFPY1TTfQrX7JLRrY0Q1eovbGnuj1a/82 LexO0wHltjY3lHizkARsieKQqGvPnZDuPxV3jmAn0U4i1Qx7lDZJDdLH3jIk zlrJuYyqnlrMGGLvHu3VjLt4AcXsG280wpZb7/ZMyd4MyTYZCxzHDurZ2SNW p41cTkd8/NeKG4YcuPbIgmdv8tS/ZswGpwosGILq8Qj/f02ayv909TgDuaXG /sbYfk/1mx3VLsHQ1vHJY9grAb5JqXvtoNnDosHg3+93yHOiKziARzWVchSb 48wXbW45V6BzVDToYtdJRdxLFvAA4mDhlDZ2aJyMm0akFzQ4+t/WxNZfX3mu i88bLKIkA9SwuYMtdB0jfCE1N2FaCZv2h7WLi9sf0sunaDux7zuHC6WGBsDl aqGNMtiZs1G3t90JgoEKwZat2Pb2CtferwTD8tOYUF5sQxlvyxDtUEhz2xK2 BnvnUN2Jk/53geuI568/OB+mzC9qTC3eg9+01+Kj2M38ubtL9kfAPf9HjE/Y r2i/JUO970PXDr2/LdhOh6LWSfx6CLHn1WOKsE0WB5en9kUCZcydMwNbqXjX bInHY9C9GjoSh70Q821650IUMI4qMX2wy3j9emtvPIXyR7Gi6tjP9wjTC2Ri QHPHmusy2GEnCzqpHTFwyPc6LwX7dNxoy81dcTBwRsF4FN9HUvp4rcJQPFxi 3qq8i/1JbwKJ3E8Awav1uU7YVfZBHzg1EsGQyjNjjv3gdXHpcFQSGB2+5yyO LacpXhCtlwLxV02tc3G9WG9Vkhc4mwL+9TenH2DPBZjlOqWkwsTXhHYn7Esj tebb/Z/DcVN6pCK20s4/Jn97X8BV9o2rabheNb210XsTkQ61NQ0pHrj+HWxQ rJP/mg48U9lOx7ALGYu6KeoZ0Nd+L1ISO27xKTwYzQDu9v3tTbi+XgXaATvt LCh6aa+9GXu1WVlFdDYH1DIW+iNx/fYY/Fvw2CAXvsU+Y1piT8w0K61NyYVN R1SN5LBbBewU54xeAT/dkqcC1//EMwnybel5YNTk4z2I+8M/I2sk7pwrgJ8U ptCqB46//Oysck4ByO8ejq3Hlot+Xf91sQAqN3KHRGDzvcj757lJIaw1mk0S xF4+eW5wlVUIYsbytK3uJAwVFuxCKkWgnyrKK4j7Vz/VcqOIZRH43Tmo3OaC 71M411+X4CIQUI6uDsduv3ShU4JeBFY/eyVXcP+rEuD2DvB6C+58qO+bEwmp btb12iXFkPxYRO0R7qdUK5782C/FQNew/wvY8YbFz2a438F/8iaVf/6HhCgp Xsfkc++geCmMcRo7qPOd4N/Fd9C8e/u2jddJsFXmt6k8WAILX75FeeL+vp2s WDxQWwZnonyk6vH84N92JHR+pgxGebokrLAZuS2UfNFyyLil6jyH54/7dgPb pd3LgaYrsCSJTfYvmXBLVUDENY0eNyscf4PmS/rtSpjjUbs/i+cXy6QSIydN BG6lE8sueD4q9oHeHXYIErdYL5Mncf8+02jzJQrBguuwsQd2jcAnL3MmglOc S/0eprheHvEzpRpXQ0gdtczRBNeb0kTf4KVqaEuK8jl4jIRjaZ/bTpyrBd5i lb/ndXA8d/OvNTjXwtFlrrc0wM/nesiqVkgtdP/SQerYzD17VHbl18Lw8lS/ wCESwkuDYjg466DFcoPkBy1cT9rkL5QW1AHLIqH/lzoJBgs3mNLcDWBxrEiC qYjnTxMhjl/vGuGt7EJ/x2Y8j9nyzC42NYJTuUOnFHbfDbYvK0ONEB9tpuou TIJDCqt83VoaGPH6awlswueJZo9tZ2ggKqJ3xUAQn38SMnLkNw2sMp+vS+TD 5xnzNdHqzTCtLmLxAs/zj20+BSmXtMICMotb24b3lemDMNHaCn5PJEcO4H0h wPfl36SRVpC9PtrtjPcJl6fOt7gpbUDImqR1NBBwopHDa/hqG1gPZq8GVxFA 2ats/1CoHbIO38nMLiAgciXchOncAePT7/KIKAIaT4jznxTqAv5SpSQnUwJm pIUDuhPp4KeSa5f4kQU3vHbbPt7MgJVtPZ7SSiz4NChgfo3WBy/zLB/KeM3A Jd+D37mPD0C0pumq6dtpqNutcb+OaxjspQ3sdNp+gBxPJTPd8CtEnmK55I1M gXil41Gu8G+gYiVdqDg1CWxL7DkeIyMwIkINHG9kwh+zD9YNO8agIlP1dUjG dxhQsxHbEToOHmJvOVMtJsDtrICgzOAE/DptlWn7ewxEY8bOcYozQSOyNiEy aRTyLzzPmvOZhGC3bo0Yygic1Q40pH2YgnD/U61m4V/hjbWzzIHlH1ByuIWZ xhqCBd4jHGUWM3BIWdnUwKYfzLu01MXjWRAYn1UuP8EAXi2+mspkFujcDq04 yWBATXq/sVUaCwbmztBvfmSAso+vbVI+CyLjBg3KMxlAkSx5KNrAgqk3DnoS 9gxoclIdFf7Jggyd6AeW33tBZ92uKMpxAuY+UMzTx3tgwX1ha74ZAReGklXc enugYKAxw+QsAXGRMjs1G3pAouBaxUO8d8ZmrresTe+BZYv0CV5fAu7lXel6 c6UHStIktbkzCbATEKdwfaODCz/RmPmKABkTrosvO+kg511lrv+GgGKx0dqD 1XSIMbp4/W4lAWYugfTrqXTwmE18ykHHeTd5YF3KRTooXHCQSOsj4GdxB0XW hA7f6jVzDg8ToCxkqZh1kA4n4/uq7kwSIBlsmpcuRod17NnHpAkCPsWUUyT5 6IAcvXuq5/HeqykWHrfUDTd79W0uLRHQ5Oq+hW+qG/7vfQj8//uQ/wGeE9sb "]]}, "Charting`Private`Tag#2"], Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12Hk0VP//B3BSibJGm0iRkOwpRa+UkBBKiVApspcUKruESkJIlqJC2Zfs 3gwytuxkN7YYM3OJbBXf9+ec3++vOY9z75n7njv3/Xq+XnfvDSfDW+uYmJic mJmY/vuUhm3UtTUCXbgQL3OtMxmclkUCl1cIRNtoJcYv/gWycuXE5n4TaEpR +juLdQbIi+vemJgm0HKZuUOvUQ4c4fHvbewmkLBuRIC5TCG4Nbxy+9ZGoMaF I0+6Q4ug+EnCtoomAkVKSjnYUotBZaXYMLeKQObpu2pQQBmcHJ2tf5NJoE5V hW6Ww5XgE7d2O/wzgYY1DTN211UC6TIH64uPBGJdci7kNSGBeqP4ae+3BNKk n7D55VwFZ/MtSqyeEuhr/lrVqG8NGD5t+qJgQaDVwl6+Uak6CFfrO3vIhEAf k3/8cY6ug44/kz/FjAjEorfGxLuuHi7dWS+66xyBsramqhY114PpleOxTEcI xLzcVXz0UiPcPJj6vImTQAPOY9/3CjTDx/GvkrVsBNKLaOvrc2iGiYRqcsV6 AklkSZjYoGaw4Rten7fCQM+fkA6EybSA479tHjETDFS9i20HW10LuDb7O1iX M9Dn0jGTqxOt8Hz6Qfd8IQNddjnQtGtzGySy2qj55jLQll5R7TsybdAIuvxx KQx0r0S5jvGgDfZl8Ze1hTHQCseZd1HM7fA99NOWE9YMpETv1DqwqQPEDMlf +LgZyDFf4E3RVCeoOBbzJ7JjFxYWXNnYBQbBaV4yGxjI/ehAX8e+LnhMCr2g vUJHWaHTvNdMu6BN/sofrzE6ujml82Okvgs8tlK1pwvpqLjoEkn1Qzd0dGym Vl6nI8uts2x1p3vA52Z++ZerdOTh3h520bQHpOfNw19fpqM5dx3NJuceCNya o2KjS0eiN16kBLzvAVVD45fcynT0q1ude/dqD3xq/qBowU1HPyRbGZTcXnCr V/X6W05DO+ri7u/h7QfBCie+I7tpiO+eDv+OmEFo5D3scmw7DZkd81joTRuE h7dW2lV5aehXYtCLF2gQutifhKtvoqHhYPuNpLFBCDWK4TWcn0bJWwVMbKSH gGW6mtuhcRqZjF4ILC0fgin+XRxJj6fRbxNtuRmbYci3q97ANUBFuS/unj1q S4Gjwo5yn7qpKD174ZmbMwWKO7abqbZREWuAi0DOQwpUqNrl2dVS0bd9dy14 nlGgnovXkpxNRctyo1K+XygwnGtR4RNARWaK8drHpinA/nfl4bwMFXFd/Rlr bzUC157LzfT4TiH9PVNOFXqjsBT2KBDBJHqqdCa3tW8MkjgHd0ZTJlAx1fAK p8UExGrLObcHjaOFIdrG/Zk/wdf+upvE2TH0PYHLMog0CY9YPrs600dQ3vuq 2yENU3Ddu1m0K4WCOkP31KR8ocLrsvHoWNthtOdb9UrA/WkoHhLfkrZvEJ3i Z99vo0IDEe6Tpy7G96G4C6XuVhQa5EgG2o6M/kASZeKFfh50GKrJFlZS6kLj t5hcZNYxYFzqtTz62o787qf7NTgygMczVUmauRXtsr1kn93FgICv4mTuxRZ0 bkREVuAHA1YYyVfmaC2oyVBd3r+HASMWnx4X/mhBrxwrZi70MyBHLYl0KqsF 9QQIGFApDDDcEKd32aIFudjNOfyiMeDAzr1NTI+aEWH6RM1xHQFSSoTUx7lG JCuzp5L5IAFW0l5eRQONiKySU20oRUCCGFdbU20jUlbuaUg8RADvdhnXhbeN aOda4QjIErC46Fipqd6IEl2eizgeJoBUxDCiRjSgsBxf1xggwFiV4SmjVI9M dX7FSV8gIOywZ+tp4Xr0WO0Fq8VFAhoOcYoas9ejMtFoyxAjAk4ISdd5D9Yh b5GlmanLBIisOWxtC6hDZ59RDSOuEsCooCe7dJPRLUfu2vxbBPip01uK3GpR 0T5zLXFXfH0t2nlFy1qk8UFSXs6NACbd6e8ZurXI8st7dmV3Ah4bTTUm7atF I0JqAWceEfDAapz8ovEbYnr/KMHAi4DbgQMV14W/oYKrKzuUnhKg09iUxUau Rp9VZx5LRxIQ3NIo459TjW4oXCjmiyKA3NGQsRpbjcYF1IaWsc8M1KXN3a1G 7FuMhyre4N/DqEkZEKhGR0N2fVWLI0CWu/xdtlMV2qDQmc35gQD+ixmhV7aT 0DjdmtaZRUCO2LPiMywklM4hzPw8mwD9ZesxOaISBZBN96nl4OvH7z3KXluJ 9isOBqfkErA6GTFU/KAS0aPHFu2+EjDh8Uh6d1cFGn3/4lZNCQGO519Fl0kg FL3TbKmqhoCUeW3aa2aEqkzsFk2/ETDyZv1Jx55ytIFCYpvDvjTm+lMoqBzp FfrYCJEJAHdzJe/JMrQ5kRC0rSeAO+lgx6nkUhRzh+lD53e83oUaLrJoMbLK 6fi81kVAyOdE0onlIqTv3cD9pJsAO3Ov+/lNRUih5LIj2w8CRL8d7Ut8UIR2 jF/j5eohIPL1l08e5EJEZJE4OPsIeKj4SlXBvgBpapwy6BvE65l0mEk9WYA8 So+76A8RoBCrnSTMX4ByqhejqrFpLOvZOMu/oiU+obHUYQLM2x90THJ9RYsn ed/dHiHglPNVu/jcPCTv/1mmYJwAITFlIf7APOTbTUnePUHAnx7+1mdX81Dk 9zRJH+w8tWYl9w15KGblsaHmTwLEeE6tu3g5F5F6nqqQJwlgzzrwhu1PNpqB GxvjpvH9tlyv492cjaJ8O5znsKu2U1YXkrIR24PuOS0aft68Ym6O6WSjZlY2 pVlshh6HLIrPQuOhVxqVGAR87Bt/MeWfgdxvi9ZFzhDQ+3hbQpxCBupuNN7U i80ppJllMJKOpsyKfHfP4uf1WkpbEaQjCmlcMgFbY9x2e/DKFzQzsv3S218E TDKId5J3UpGPx3ovp3kCdocK5wwKpSLe6sSUT9j6cgZVYU0piNm8gG8Au/Be zviKZAoqPriSr/mbgKAlF8mG8U/IfiJLnG+BAMl1K7l2ph/QlCGLZPAivr9J kjV72D+gykeOafnYYeqmXe2FSah/pMB1GHsloHTp+LYkdKn0ClVhCe/vzV6q W1rfI6HgmrNt2EzpmXoVXu9RyfNtgkvYinrDFi7S71GqMpeK4DIBsaFqvv3P 3iEBpG5+C/uH5KaQKy/iUczuCBU69kkHm6xKahxyGFm9z7GCn+fM+jYJrTg0 +DronxS2u+KL7SvrYlGL8d4lG+xdJ3jfx7i9QWOKq4l92L7e96rWdUWj/g5+ owXsaVLHuK1CNOqmOVzm/kNAqWaU5HFGJOp72KF7CtvMYHden2UEOjzdyxqP TZv7rXy/OhxxN13sycF+HNmMOPeHI6snr1lqsWP7fBvUJl6h5N37LenYUp5X Dfo0XqHzKk3Ra9glwkrdLsmhyCCLcYDnL37eGtpqzreGIO2TJy/IY3dwB7T6 hr1AdVzlhBr2nJHyQP6F5ygzSn9CH1t+OGFeoCsIXROAEXtsg/0XmM5HBaL1 WwZ+umPfsd24xdf4KWKP3aoVgJ05by8y2euPWKXKd8Rhf1cWlhGI9UOrR24H JWMzPNuP6Zn5ItnlbUbZ2BzVARo+Qj5oPpfyqBjbmNflw23khU5JDv4jYUfF 9pZ8V/NALTHCffXYXWJq7YrVD5FGRcnWNmy+7GRqjIYbcm2pSP6BfeE45zrm uvuo4hFEDWKH1bjstD53D12gnRkZxW453yfb1HQHldUMB05iC+X5hVq9s0cX RQWe0bDfkvWR/Edr1Ba7Oklg7xgQZKym3kAjx8MTf2EfHO1UjjQzRZQnQwXz 2GJb7kRJWxugsAeT4gvY3h3iHQJVqmjaO/v3f5biGrDdcEgUFkJUhBb/W/+s bwL3khbkMwcn/nd85vyBX07Ol0AsO9r3N/ajcI16O8VrYEC7VT6Hverp/jZB 5haYutONZv/7fts0+3ZJW8h7LXGWgc1yaUiVVcwJDBd4o6nYVcJBT+O4nYGF /O7UBLZ/5L47R0JcoDyTrEXB1thSaty62RVYGjw/92Gz+hqp2QW5w72sfOtO bPIiQ2ID62NQuWPu/R072CGQN8HfEyojbs9/w/40G+qx28cbDouQqsqxra0l rb6u+sK9f1td0rC19rma+Kn6Q3zF8MVEbPGBKj39x09Af/BjaBQ21dDsCHX5 KYwGZO/wxq7n+Hyw4GgQtPhU3LyH/YW8sMffNRhCiow3W2HbnwjdJPT7ObiZ fbQ+i6273P+XqhAC5UbbBI9hS+dJzBY4v4Saj0FSkthLERSa+FIoFKoMG2/C LmJ/1Em6Hw6eTr0jpXg/vDvE3565LwLaD3AkfMIO0M9siW2OAEJNP/Il9sXI 0YYHEpHQumnzYQvsmb06JMmBaOhMXz34G+/fbvUJtD34DViyORb9wC639i5b fyQGhL6RvEqwn6XnFQ6GvoVgwdF8T2wxZcHMMPV4IKQ3oT+4nmy5WpDmNRsP ta8L2Xuw5zwNPtvHJ8BCV9rzfOxrIyRDkcfvgBzLkLPHlhZf1P3X+R6EpY0X m3H9qsu1UM8O+gA18nZ8d3H9U6mRqjow/AFkdga9VsPO6lpWi1f6CHTRWxo8 2JHL4fBs9CNwrnofzsD19SaQj91STYbCLwIqg7j+rtXLyu2cTQXGpJzHNlyf nfv/Zb7U/AwBfucqeuZw3tDrpTfGY0fKH4zFbuS+JTWn/QUKRNQfCGHHXHpz oOlDGuj0KbftwHlweIRZyMc4E0qkI0XHCLz+4suzsqmZoBHkkxSPLRaWXj28 nAlJL03NjbE3v087/E43CzQXfz2pw/n0V9+4f42RBQWCx14m0gkYyMqUQHI5 oHNDU1AG511vrMnW7SY5YIg27x2g4v0UuOGfo28OHNP5ZRyM/f2aaYtQew6U L0pYjkzh/4eb1dXTJReiFK60B+I8TbhjXq1akAfGccdyM3A+x15ly3g9lAfj aa5l57GjtfKi6Kz5kJQ3MkeMERAqzG4XZ5wPGpJao4ewvVvyef4t5wOs+pYn 4Ly/LsthUapSAJYGCssmuD8QmSlZPkYqglolM3Ep3H88bjrtP08vAk9db49k 3J90fW7gzNhZDBpcvOS92MG3+kT23i2GA1rnj2/F/cxM74ouq3AJiBZxP5tq x+uvUU5s9yiFO9FFJpbNBJi8LdC2V0ZgN25vGoj7qzw36Nx/C8Gu3K9WlGqc 35dqLYZCEby97m6sjF3J3e1iOIkg1WKBPk7C9fL0o/Ox5yqAfIinW64C15vC GHfflQooPMxvElFMwNmkniY9YxJ82Vig65uB1/Mkw6rGgQSqv+f0StLx/bnt t3bcjwRX1XWU59Jw/h86JCeRQQKO2nGyxRcCAgu9I1jWV4F0iU7rwRRcT5oO mBZmVsH3Ht6HL98ToLl0f3Ivaw2om4nIPAnH/asuL8vv/FpofuNdLuuC+7nr bLPLdbVQ0v/xudI9nMf3mYZWB2qh6dJXp+POBNjGM4o3bSSD7Lbq+6fu4POJ eufdl8jQLPE36Iw9Pv+V38jpBTKc3vVwp/BNfH7XfGWYUj08XORRlsDzwEuL bm/Zgka4N/ut/Z003v80FZhobAQzG6dvF/G84eme+O/tSCOc+La9khXPI47h Dg9ZOZvge4BPi60EAXq1LC6DN5tA3eGy1X5RfL9lZK2f836Hkk5fiv1OvJ7V QN1Jh2ZIpT8I0WIhoFZPkEOftxVSgxQWtDsYQN/L79kW0w4LSPsM3GPAfZeD 119u6wKfat/VYVYGdPdzG1qRf8CojdBjBT86XHNX+cmq0we6t2+qMf2mQdXB I8FVGwZh5bp7A6jTQIytdPKD1jDofX2rwhE8DYKldmc2BFIgdMPnEvVKKjCt rEt1HhmB4ZWaxoftU7BoUGZes38Mcq94354dnIQ+RQuB/f7joGJ02uhi3k+4 c5mbZ1//BLjk8rGU35yAnRFjxusFJ6HQ6Ce/9PpxyDB9lzznNgXmzfTzL01H QbFbZGWj5xTkTZGK1i6OQolhss4uvynoLa1e54DnY/LZjNmTL6bgobX89hNq ozB6pPR4yPspyBFk+BeJjcIOvh/N4vVT8D7ZcYxzdgR8G7mWzASoIL09pWDJ dwQuq3ppkcuo0FNBPvfqDQX6f09wkUhUSFuJjt8eRoEbGXrdJbVU0N/C6R4d TAH7PUJWma1UQBxlEUGPKODLXOYXOU6FbA8FfnEzCmTUrJTf5JgGnRK95HN7 KLBe78FhZrNpkCdeOffED0O2ucO+Y3+n4XhxieMlniG4kT8j+I6ZBsFDi9a3 /g0C3xaXnRtZaRAp99Tn+tQgPCh6yN3Gg+dwo8o+4cpBOMYXuGpzgAanD+78 Wuw0CKS6xN43hjSYf2i8zaBuADoUf4Qtp9DArCentt2hH548Mw2xyKBBCZd2 kMvlflAaGQyqycXXK60IZlbrh+iX496vymmwiY9Xc3hrP5hRfzlKdNBA3H+3 W1ZhH0wkcJy7skaD7B2bc96s9sIS+2mWIiM6tJIvJlk86gFeBmcEyYQOXwd+ Lh+42QMHW3tFGy3owMl8ZGxApwfMo5w1hmzoYDO9bYlHqAeqRBKDNnjSQfo1 q2IU+gEhKszchp/o0NZfEE5f7Yb9jmj39AIdyIEfZqrsu+CEwbP0+T90sJxx d6g27AJjxcsnVpkYYH7D6UHy0S4IXmFY8GxmwMTt++d413fBTIBQ0pE9DPDq K128+aYTShM8JPw1GaDNGh8nXdYBhq3HlQSj8XEp8wz74TZgP765sjSOAYfe VYZ0lLZB5Yfec1eTGKB+KvPNYHQbyLq5X3+bwYDD12KPN5xvA849Bc931jDA s8pVN66wFb4FBmwvqmdAuuVGpoxXreDxyyjRuIUBTrJpJ9RsW4FWM18Q1ceA 94WaCf07W6HOXn6U/xcDrrmd6b/i3ALeXcyO+YsM2BX15M8vjRY4erJ16eI/ BnB099wZ29UCn7be4YzYRIDfIfkdTj7N4F+crsy7B/c5/Dxr5I3f4eQmiVBO HTwnfJQ/6lVaD0t3l3ZlGODcTISS2bP1kNlX+1H3Ms4Bt0Ov+TvrQCjTquT5 DQLUB7TTBMfI8NfowwS7O+6TBsNPV4x8gzx07+5nTwLo1abZhqbfwE7i9N+z /njO6j65f6ClBnr/UniCXuLc6Oy/4JRTDQVJe1RZP+E+Ifkqk5MOCRw5iNpP uE5nWh+SSE+tBDHXckMNPPenW/Z+WlxXCRHaZreflOI6qNC+0cgQgfNsTDgL zqE97OcNj3sXgaSprVASzjXPvNfk/LkCoFQrp57Cc3PNVGHawtWvoB/9o9wH 5+5mvbAcN65c2LQu5exenPPpm8b02I2zAdm5dlTgPiM3Yfr6RslMeNCpYXEN 90kBbJYp7M+/wP+934b/f7/9PyHgYOI= "]]}, "Charting`Private`Tag#3"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-1, 1}, {0., 1.0308350720127606`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> NCache[GoldenRatio^(-1), 0.6180339887498948], Axes -> {True, True}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{False, False}, {False, False}}, FrameLabel -> {{None, None}, {None, None}}, FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{-1, 1}, {0., 1.0308350720127606`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{"\"Sqrt[1-x^2]\"", "\"n=3\"", "\"n=20\""}, "LineLegend", DisplayFunction -> (FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]], { LineBox[{{0, 12.5}, {40, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0]], {}}}, AspectRatio -> Full, ImageSize -> {40, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], { LineBox[{{0, 12.5}, {40, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], RGBColor[0, 0, 1], Dashing[{Small, Small}]], {}}}, AspectRatio -> Full, ImageSize -> {40, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], { LineBox[{{0, 12.5}, {40, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], GrayLevel[0], Dashing[{Small, Small}]], {}}}, AspectRatio -> Full, ImageSize -> {40, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #3}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), InterpretationFunction :> (RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}], ",", TemplateBox[<|"color" -> RGBColor[1, 0, 0]|>, "RGBColorSwatchTemplate"]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}], ",", TemplateBox[<|"color" -> RGBColor[0, 0, 1]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"Dashing", "[", RowBox[{"{", RowBox[{"Small", ",", "Small"}], "}"}], "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}], ",", TemplateBox[<|"color" -> GrayLevel[0]|>, "GrayLevelColorSwatchTemplate"], ",", RowBox[{"Dashing", "[", RowBox[{"{", RowBox[{"Small", ",", "Small"}], "}"}], "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), Editable -> True], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", CellChangeTimes->{{3.929381071088387*^9, 3.929381119844901*^9}, { 3.929381210071321*^9, 3.929381221482188*^9}, {3.929381294363041*^9, 3.9293813020375023`*^9}, {3.929381354934824*^9, 3.929381399770589*^9}, 3.929418781393635*^9, {3.929418815529234*^9, 3.929418870386066*^9}, 3.929429838650276*^9, {3.929430558875785*^9, 3.929430609198063*^9}, 3.929434293826148*^9, 3.929524897229595*^9, {3.929524945784155*^9, 3.929524949959524*^9}, 3.929524991194034*^9}, CellLabel->"Out[38]=",ExpressionUUID->"69057c39-934c-448b-80dd-05d341773495"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["4. Aufgabe: ", "Subsection", CellChangeTimes->{{3.9273707561824512`*^9, 3.927370759986985*^9}, { 3.9277024718055773`*^9, 3.927702471961231*^9}, {3.929366393351248*^9, 3.92936639424643*^9}, {3.929429788218594*^9, 3.929429788336224*^9}},ExpressionUUID->"8c4f473a-1422-457a-9abc-\ 01d6455c0083"], Cell[TextData[{ "Betrachten Sie die Differentialgleichung ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ OverscriptBox[ StyleBox["x", "TI"], "."], RowBox[{"(", StyleBox["t", "TI"], ")"}], "\[LongEqual]", "exp", RowBox[{"(", StyleBox["t", "TI"], ")"}], "-", SuperscriptBox[ StyleBox["x", "TI"], "2"], RowBox[{"(", StyleBox["t", "TI"], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "\\dot x(t)=\\exp(t)-x^2(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]], FontWeight->"Plain",ExpressionUUID-> "5fc3ad33-b662-4d10-b294-f0e174d1d54b"], " mit Anfangswert ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], RowBox[{"(", "0", ")"}], "\[LongEqual]", "1"}], TraditionalForm], "errors" -> {}, "input" -> "x(0)=1", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]], FontWeight->"Plain",ExpressionUUID-> "bc95c258-9f82-4ce1-8337-f3772ae89e70"], ". Berechnen Sie die numerische L\[ODoubleDot]sung der Differentialgleichung \ f\[UDoubleDot]r ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"0", "\[LessEqual]", StyleBox["t", "TI"], "\[LessEqual]", "100"}], TraditionalForm], "errors" -> {}, "input" -> "0\\le t \\le 100", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]], FontWeight->"Plain",ExpressionUUID-> "3812c6e8-bf33-4931-a1a4-1e2c7bceac22"], ". Ersetzen Sie nun ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}], "\[Rule]", "exp", RowBox[{"[", RowBox[{ StyleBox["y", "TI"], "(", StyleBox["t", "TI"], ")"}], "]"}]}], TraditionalForm], "errors" -> {}, "input" -> "x(t) \\rightarrow \\exp[y(t)]", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]], FontWeight->"Plain",ExpressionUUID-> "8688e291-fd17-4934-b1ea-93fd43464218"], ", und l\[ODoubleDot]sen Sie die resu", "ltierende Differentialgleichung in ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["y", "TI"], "(", StyleBox["t", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "y(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "53dcabfe-3351-4e8d-b620-d60014097a80"], ". Vergleichen Sie beide Ergebnisse." }], "Text", CellChangeTimes->{ 3.92737077097237*^9, {3.927604486722774*^9, 3.927604491953952*^9}, { 3.9276045372296753`*^9, 3.927604573768821*^9}, {3.927801068780904*^9, 3.927801078303049*^9}, {3.927801249029561*^9, 3.9278014725584173`*^9}, { 3.928208799663024*^9, 3.928208869817666*^9}, {3.928213827606935*^9, 3.928213829085759*^9}, 3.9289037011077147`*^9, {3.929102084114977*^9, 3.929102084595645*^9}, {3.929185252009728*^9, 3.929185255694867*^9}, { 3.9293815623897333`*^9, 3.929381675550479*^9}, {3.929381738162418*^9, 3.929381740604738*^9}, {3.929381789983485*^9, 3.9293818058139963`*^9}}, Background->RGBColor[ 0.94, 0.88, 0.94],ExpressionUUID->"eec1f6e5-df75-4341-8880-d804f815ce28"], Cell[TextData[{ StyleBox["Hinweis: ", FontWeight->"Bold"], "N\[UDoubleDot]tzliche Befehle ", StyleBox[" NDSolve, /.->", FontWeight->"Bold"], " Rule , ", StyleBox["LogPlot", FontWeight->"Bold"] }], "Text", CellChangeTimes->{{3.928213838169512*^9, 3.9282138497098846`*^9}, 3.9289037078793573`*^9, {3.929381683216967*^9, 3.929381726488213*^9}, { 3.92943084411987*^9, 3.9294308562249603`*^9}, {3.9294334074955177`*^9, 3.929433428978739*^9}}, Background->RGBColor[ 0.87, 0.94, 1],ExpressionUUID->"8c226efe-4988-4965-b950-b66da8406496"], Cell["", "Text", CellChangeTimes->{{3.928916715926094*^9, 3.9289167747317142`*^9}, 3.928918486352702*^9, {3.929185293532631*^9, 3.929185309094141*^9}},ExpressionUUID->"9a354085-2176-46d8-81c9-\ 20910600535d"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", "DGL", " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Deq", "=", RowBox[{ RowBox[{ RowBox[{"x", "'"}], "[", "t", "]"}], "==", RowBox[{ RowBox[{"Exp", "[", "t", "]"}], "-", RowBox[{ RowBox[{"x", "[", "t", "]"}], "^", "2"}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{ "Direkte", " ", "L\[ODoubleDot]sung", " ", "durch", " ", "NDSolve"}], " ", "*)"}], "\n", RowBox[{"sol", "=", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{"Deq", ",", RowBox[{ RowBox[{"x", "[", "0", "]"}], "==", "1"}]}], "}"}], ",", RowBox[{"x", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "100"}], "}"}]}], "]"}]}], "\n", RowBox[{"(*", " ", RowBox[{ "Umschreiben", " ", "der", " ", "DGL", " ", "durch", " ", "Ersetzungsregeln"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{"Ersetzung", "=", RowBox[{ RowBox[{"x", "[", "t", "]"}], "->", " ", RowBox[{"Exp", "[", RowBox[{"y", "[", "t", "]"}], "]"}]}]}], "\n", RowBox[{"Ersetzung2", "=", RowBox[{"D", "[", RowBox[{"Ersetzung", ",", "t"}], "]"}]}], "\n", RowBox[{"Deq2", "=", RowBox[{ RowBox[{ RowBox[{"Deq", "/.", "Ersetzung"}], "/.", "Ersetzung2"}], "//", "Simplify"}]}], "\n", RowBox[{"sol2", "=", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{"Deq2", ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "==", "0"}]}], "}"}], ",", RowBox[{"y", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "100"}], "}"}]}], "]"}]}]}]}]], "Input", CellChangeTimes->{{3.929185310794097*^9, 3.929185310794849*^9}, { 3.929525011755477*^9, 3.9295251636776114`*^9}, {3.929525220097843*^9, 3.929525221680408*^9}}, CellLabel->"In[53]:=",ExpressionUUID->"f4e37abe-3e91-4ab6-9767-79de6db0eb9f"], Cell[BoxData[ TemplateBox[{ "NDSolve", "nderr", "\"Error test failure at \\!\\(\\*RowBox[{\\\"t\\\"}]\\) == \ \\!\\(\\*RowBox[{\\\"47.543412832568464`\\\"}]\\); unable to continue.\"", 2, 54, 7, 28003239224282045663, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.9295252234396963`*^9}, CellLabel-> "During evaluation of \ In[53]:=",ExpressionUUID->"67791874-9c88-4e56-b236-b522a945f2f9"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], "\[Rule]", RowBox[{ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAA6hy9JPIJqz7KFgAAAADwPyItWF4k zeg/IUNcP8UD9D+p/AyOKtj5P/HLjwEmpf8/VkfVq9gyA0ApOpqg8XcIQG4E OWAXWglA7YISVn96EkDueE/MbAMQQDTtSPRnlhxAoJoxg8kgE0A95tiU0Fcl QH3UFPzngBZAGHybhyxoMEBliMIcRNEZQCd2gXMM9ThASGcf2JvoHEBlk/EM gmxCQCuvvqpaISBAE7Jbv98TTEAvQMU25bEhQJ+0oYL9yVRAOA6xlo46I0Al DWExuYheQFdondeY5CRAzEjM4RYpZ0D0V+HlIHImQJtPvNKpFHFAptMl1Qkh KEB+vqEChAZ6QF6MT5gRyClAm8mQCEmsg0CT2tAol1IrQMBp1Lpf7IxA3rRS mn3+LECa3baNH/eVQKYkLNnhjS5ANJnpOf04oEBCEIN8Ux8wQPc98DWUwahA tKxidsXzMECbcDpRhr6yQOQT7lb2uTFADA2TUd2au0Afwfmn15AyQPhabGwi AMVAGTmx33dZM0A1FciUMBPPQJZPW4EnHjRA6J6ugpvQ1kAdrIWTh/M0QPJ/ g64tTuFAY9NbjKa6NUC3W4K/KYjpQLRAsvV1kjZAfTWk+WN180CITPvIVGY3 QG6b5i+0bv1AGiPwgvIrOED+ns7p7KUFQbc/Za1AAjlAdVCc80BzEEETJ4a+ Tco5QL9jjrRzUBhB8qyZOWqOOkACR1c3xdQhQdt4LSU3YztAsCJ2eBUFK0GD D233wik8QAHaYKDm6DNBNuwsOv8APUCDmlepP1A+QaiTmGP6yT1AtxjEhXNx RkGc2fb2BI8+QFe7ZmgmfVBBm2XV+r9kP0CZPmiwBAhZQSzer/IcFkBAtabL iGB6YkGRLDUgMoJAQCeUmoRLL2xBN8qzAk/sQED7j35DmlR1QT1NiFhLT0FA p0A0yFVmf0FI85zmn7pBQGqxt7l84IdBsn4H6NMeQkCefKLEa6iRQV5Za54P gUJA1HneNM3qmUEPVw+No+tCQIhsS8dopqNBHzoJ7xZPQ0CyljNCh/qsQTVA Q4niukNATRN2o24TtkGMlXbYtSREQP8YfvBBsMBBQ9D/mmiHREBcmfmY9onI QQKS0JV7j0RA1Nyzq/J/yUFWZ4HP "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAA6hy9JPIJqz7KFgAAAADwPyItWF4k zeg/IUNcP8UD9D+p/AyOKtj5P/HLjwEmpf8/VkfVq9gyA0ApOpqg8XcIQG4E OWAXWglA7YISVn96EkDueE/MbAMQQDTtSPRnlhxAoJoxg8kgE0A95tiU0Fcl QH3UFPzngBZAGHybhyxoMEBliMIcRNEZQCd2gXMM9ThASGcf2JvoHEBlk/EM gmxCQCuvvqpaISBAE7Jbv98TTEAvQMU25bEhQJ+0oYL9yVRAOA6xlo46I0Al DWExuYheQFdondeY5CRAzEjM4RYpZ0D0V+HlIHImQJtPvNKpFHFAptMl1Qkh KEB+vqEChAZ6QF6MT5gRyClAm8mQCEmsg0CT2tAol1IrQMBp1Lpf7IxA3rRS mn3+LECa3baNH/eVQKYkLNnhjS5ANJnpOf04oEBCEIN8Ux8wQPc98DWUwahA tKxidsXzMECbcDpRhr6yQOQT7lb2uTFADA2TUd2au0Afwfmn15AyQPhabGwi AMVAGTmx33dZM0A1FciUMBPPQJZPW4EnHjRA6J6ugpvQ1kAdrIWTh/M0QPJ/ g64tTuFAY9NbjKa6NUC3W4K/KYjpQLRAsvV1kjZAfTWk+WN180CITPvIVGY3 QG6b5i+0bv1AGiPwgvIrOED+ns7p7KUFQbc/Za1AAjlAdVCc80BzEEETJ4a+ Tco5QL9jjrRzUBhB8qyZOWqOOkACR1c3xdQhQdt4LSU3YztAsCJ2eBUFK0GD D233wik8QAHaYKDm6DNBNuwsOv8APUCDmlepP1A+QaiTmGP6yT1AtxjEhXNx RkGc2fb2BI8+QFe7ZmgmfVBBm2XV+r9kP0CZPmiwBAhZQSzer/IcFkBAtabL iGB6YkGRLDUgMoJAQCeUmoRLL2xBN8qzAk/sQED7j35DmlR1QT1NiFhLT0FA p0A0yFVmf0FI85zmn7pBQGqxt7l84IdBsn4H6NMeQkCefKLEa6iRQV5Za54P gUJA1HneNM3qmUEPVw+No+tCQIhsS8dopqNBHzoJ7xZPQ0CyljNCh/qsQTVA Q4niukNATRN2o24TtkGMlXbYtSREQP8YfvBBsMBBQ9D/mmiHREBcmfmY9onI QQKS0JV7j0RA1Nyzq/J/yUFWZ4HP "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAA6hy9JPIJqz7KFgAAAADwPyItWF4k zeg/IUNcP8UD9D+p/AyOKtj5P/HLjwEmpf8/VkfVq9gyA0ApOpqg8XcIQG4E OWAXWglA7YISVn96EkDueE/MbAMQQDTtSPRnlhxAoJoxg8kgE0A95tiU0Fcl QH3UFPzngBZAGHybhyxoMEBliMIcRNEZQCd2gXMM9ThASGcf2JvoHEBlk/EM gmxCQCuvvqpaISBAE7Jbv98TTEAvQMU25bEhQJ+0oYL9yVRAOA6xlo46I0Al DWExuYheQFdondeY5CRAzEjM4RYpZ0D0V+HlIHImQJtPvNKpFHFAptMl1Qkh KEB+vqEChAZ6QF6MT5gRyClAm8mQCEmsg0CT2tAol1IrQMBp1Lpf7IxA3rRS mn3+LECa3baNH/eVQKYkLNnhjS5ANJnpOf04oEBCEIN8Ux8wQPc98DWUwahA tKxidsXzMECbcDpRhr6yQOQT7lb2uTFADA2TUd2au0Afwfmn15AyQPhabGwi AMVAGTmx33dZM0A1FciUMBPPQJZPW4EnHjRA6J6ugpvQ1kAdrIWTh/M0QPJ/ g64tTuFAY9NbjKa6NUC3W4K/KYjpQLRAsvV1kjZAfTWk+WN180CITPvIVGY3 QG6b5i+0bv1AGiPwgvIrOED+ns7p7KUFQbc/Za1AAjlAdVCc80BzEEETJ4a+ Tco5QL9jjrRzUBhB8qyZOWqOOkACR1c3xdQhQdt4LSU3YztAsCJ2eBUFK0GD D233wik8QAHaYKDm6DNBNuwsOv8APUCDmlepP1A+QaiTmGP6yT1AtxjEhXNx RkGc2fb2BI8+QFe7ZmgmfVBBm2XV+r9kP0CZPmiwBAhZQSzer/IcFkBAtabL iGB6YkGRLDUgMoJAQCeUmoRLL2xBN8qzAk/sQED7j35DmlR1QT1NiFhLT0FA p0A0yFVmf0FI85zmn7pBQGqxt7l84IdBsn4H6NMeQkCefKLEa6iRQV5Za54P gUJA1HneNM3qmUEPVw+No+tCQIhsS8dopqNBHzoJ7xZPQ0CyljNCh/qsQTVA Q4niukNATRN2o24TtkGMlXbYtSREQP8YfvBBsMBBQ9D/mmiHREBcmfmY9onI QQKS0JV7j0RA1Nyzq/J/yUFWZ4HP "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "47.543412832568464`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAA6hy9JPIJqz7KFgAAAADwPyItWF4k zeg/IUNcP8UD9D+p/AyOKtj5P/HLjwEmpf8/VkfVq9gyA0ApOpqg8XcIQG4E OWAXWglA7YISVn96EkDueE/MbAMQQDTtSPRnlhxAoJoxg8kgE0A95tiU0Fcl QH3UFPzngBZAGHybhyxoMEBliMIcRNEZQCd2gXMM9ThASGcf2JvoHEBlk/EM gmxCQCuvvqpaISBAE7Jbv98TTEAvQMU25bEhQJ+0oYL9yVRAOA6xlo46I0Al DWExuYheQFdondeY5CRAzEjM4RYpZ0D0V+HlIHImQJtPvNKpFHFAptMl1Qkh KEB+vqEChAZ6QF6MT5gRyClAm8mQCEmsg0CT2tAol1IrQMBp1Lpf7IxA3rRS mn3+LECa3baNH/eVQKYkLNnhjS5ANJnpOf04oEBCEIN8Ux8wQPc98DWUwahA tKxidsXzMECbcDpRhr6yQOQT7lb2uTFADA2TUd2au0Afwfmn15AyQPhabGwi AMVAGTmx33dZM0A1FciUMBPPQJZPW4EnHjRA6J6ugpvQ1kAdrIWTh/M0QPJ/ g64tTuFAY9NbjKa6NUC3W4K/KYjpQLRAsvV1kjZAfTWk+WN180CITPvIVGY3 QG6b5i+0bv1AGiPwgvIrOED+ns7p7KUFQbc/Za1AAjlAdVCc80BzEEETJ4a+ Tco5QL9jjrRzUBhB8qyZOWqOOkACR1c3xdQhQdt4LSU3YztAsCJ2eBUFK0GD D233wik8QAHaYKDm6DNBNuwsOv8APUCDmlepP1A+QaiTmGP6yT1AtxjEhXNx RkGc2fb2BI8+QFe7ZmgmfVBBm2XV+r9kP0CZPmiwBAhZQSzer/IcFkBAtabL iGB6YkGRLDUgMoJAQCeUmoRLL2xBN8qzAk/sQED7j35DmlR1QT1NiFhLT0FA p0A0yFVmf0FI85zmn7pBQGqxt7l84IdBsn4H6NMeQkCefKLEa6iRQV5Za54P gUJA1HneNM3qmUEPVw+No+tCQIhsS8dopqNBHzoJ7xZPQ0CyljNCh/qsQTVA Q4niukNATRN2o24TtkGMlXbYtSREQP8YfvBBsMBBQ9D/mmiHREBcmfmY9onI QQKS0JV7j0RA1Nyzq/J/yUFWZ4HP "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAA6hy9JPIJqz7KFgAAAADwPyItWF4k zeg/IUNcP8UD9D+p/AyOKtj5P/HLjwEmpf8/VkfVq9gyA0ApOpqg8XcIQG4E OWAXWglA7YISVn96EkDueE/MbAMQQDTtSPRnlhxAoJoxg8kgE0A95tiU0Fcl QH3UFPzngBZAGHybhyxoMEBliMIcRNEZQCd2gXMM9ThASGcf2JvoHEBlk/EM gmxCQCuvvqpaISBAE7Jbv98TTEAvQMU25bEhQJ+0oYL9yVRAOA6xlo46I0Al DWExuYheQFdondeY5CRAzEjM4RYpZ0D0V+HlIHImQJtPvNKpFHFAptMl1Qkh KEB+vqEChAZ6QF6MT5gRyClAm8mQCEmsg0CT2tAol1IrQMBp1Lpf7IxA3rRS mn3+LECa3baNH/eVQKYkLNnhjS5ANJnpOf04oEBCEIN8Ux8wQPc98DWUwahA tKxidsXzMECbcDpRhr6yQOQT7lb2uTFADA2TUd2au0Afwfmn15AyQPhabGwi AMVAGTmx33dZM0A1FciUMBPPQJZPW4EnHjRA6J6ugpvQ1kAdrIWTh/M0QPJ/ g64tTuFAY9NbjKa6NUC3W4K/KYjpQLRAsvV1kjZAfTWk+WN180CITPvIVGY3 QG6b5i+0bv1AGiPwgvIrOED+ns7p7KUFQbc/Za1AAjlAdVCc80BzEEETJ4a+ Tco5QL9jjrRzUBhB8qyZOWqOOkACR1c3xdQhQdt4LSU3YztAsCJ2eBUFK0GD D233wik8QAHaYKDm6DNBNuwsOv8APUCDmlepP1A+QaiTmGP6yT1AtxjEhXNx RkGc2fb2BI8+QFe7ZmgmfVBBm2XV+r9kP0CZPmiwBAhZQSzer/IcFkBAtabL iGB6YkGRLDUgMoJAQCeUmoRLL2xBN8qzAk/sQED7j35DmlR1QT1NiFhLT0FA p0A0yFVmf0FI85zmn7pBQGqxt7l84IdBsn4H6NMeQkCefKLEa6iRQV5Za54P gUJA1HneNM3qmUEPVw+No+tCQIhsS8dopqNBHzoJ7xZPQ0CyljNCh/qsQTVA Q4niukNATRN2o24TtkGMlXbYtSREQP8YfvBBsMBBQ9D/mmiHREBcmfmY9onI QQKS0JV7j0RA1Nyzq/J/yUFWZ4HP "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAA6hy9JPIJqz7KFgAAAADwPyItWF4k zeg/IUNcP8UD9D+p/AyOKtj5P/HLjwEmpf8/VkfVq9gyA0ApOpqg8XcIQG4E OWAXWglA7YISVn96EkDueE/MbAMQQDTtSPRnlhxAoJoxg8kgE0A95tiU0Fcl QH3UFPzngBZAGHybhyxoMEBliMIcRNEZQCd2gXMM9ThASGcf2JvoHEBlk/EM gmxCQCuvvqpaISBAE7Jbv98TTEAvQMU25bEhQJ+0oYL9yVRAOA6xlo46I0Al DWExuYheQFdondeY5CRAzEjM4RYpZ0D0V+HlIHImQJtPvNKpFHFAptMl1Qkh KEB+vqEChAZ6QF6MT5gRyClAm8mQCEmsg0CT2tAol1IrQMBp1Lpf7IxA3rRS mn3+LECa3baNH/eVQKYkLNnhjS5ANJnpOf04oEBCEIN8Ux8wQPc98DWUwahA tKxidsXzMECbcDpRhr6yQOQT7lb2uTFADA2TUd2au0Afwfmn15AyQPhabGwi AMVAGTmx33dZM0A1FciUMBPPQJZPW4EnHjRA6J6ugpvQ1kAdrIWTh/M0QPJ/ g64tTuFAY9NbjKa6NUC3W4K/KYjpQLRAsvV1kjZAfTWk+WN180CITPvIVGY3 QG6b5i+0bv1AGiPwgvIrOED+ns7p7KUFQbc/Za1AAjlAdVCc80BzEEETJ4a+ Tco5QL9jjrRzUBhB8qyZOWqOOkACR1c3xdQhQdt4LSU3YztAsCJ2eBUFK0GD D233wik8QAHaYKDm6DNBNuwsOv8APUCDmlepP1A+QaiTmGP6yT1AtxjEhXNx RkGc2fb2BI8+QFe7ZmgmfVBBm2XV+r9kP0CZPmiwBAhZQSzer/IcFkBAtabL iGB6YkGRLDUgMoJAQCeUmoRLL2xBN8qzAk/sQED7j35DmlR1QT1NiFhLT0FA p0A0yFVmf0FI85zmn7pBQGqxt7l84IdBsn4H6NMeQkCefKLEa6iRQV5Za54P gUJA1HneNM3qmUEPVw+No+tCQIhsS8dopqNBHzoJ7xZPQ0CyljNCh/qsQTVA Q4niukNATRN2o24TtkGMlXbYtSREQP8YfvBBsMBBQ9D/mmiHREBcmfmY9onI QQKS0JV7j0RA1Nyzq/J/yUFWZ4HP "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 47.543412832568464`}, {0., 8.556311914051766*^8}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "47.543412832568464`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["3", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{0., 47.543412832568464`}}, { 5, 7, 1, {3958}, {4}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJw81wk0Ve0bMHxTioyZ53PO3udI5rlQ5yIpMlPKUOYkVKRUZKyUeSZKaCYS KcqUjIWekFSUKCINUoYM3/X/3ne9z1rP+q19nH3v+76mfaK6H7b1YmNhYWHF /4/zs/y//24aaJ9jZjOY/0ed/6sJM2zq5jXVaev/e72buS4jIEO3OYh55v// PIIZmJx9pok1lumteWGPg2AS0/iJ+aE28RvM/gz9iMs695nxnS87XrtWMwvY KrhjtzUwQ68slV1728TkC78/7KDfzizcf0BobV4XU5KSSNu//B/TM9nn8aPS XuZdlq326/b3M2ePyEwd4n/LZF5Oee/KOcRsGmX7cmf5I3Ns4YkLfeETc63g ib78P6NMVXl1C8lfX5h2myefpX8bZ56wu27APz7BlH6b9tqpZYrppma40d72 J7MyaOPZU42/mJwPVV9dVfvN3LvAkGvNn2GWbJb1m+L7y1yOEKkWOjPLtHnG w6k3Nce8tprDztV5gfnX7F/+uef/mKaJ099K9JaYef993dRze5l54uKRplAe FmgL9jjOcYUFxN12K8SrssJBc9P3Qo2sUKNrkJRrywbchKoRMcoGTny0P3eC 2aHyIVdKCRcH8Ln9Uiq9zAEHuAfaytRXQUNFg2d58yqQcLnFUrGXE96aVPCG 9nBCnlqd5DaL1eAi2S7P17oaZDl6tfphDXyYGjK8WrMGfB8JO6XSuOBvlNmx mItcEGkRkXB8mgt4xKtu+DhyQ9anyXrHp9xQ49m01lhmLQx9ueSgHLIWWA8G Fon2rAVy0vTHijIP7PCn6n+N5YGeN3s5+gZ4YL9xamfDBl6YLOvILDnNC8el 2F2zX/AC23l9hRgZPmAOfKmL8uaDUMVU+8gyPqgJ2zwRPscHs93j4WcM+UGL li4SdpEfAo8xi0/38IODRzBlM58AHOfZeeiJhgBkPKBU6TsIQMW+vyyPTwvA q9UvdupdFYBf9woyq58JAL/jieGNXwVAhd1C6RGvIPCq/tPboCYI3xxvm+bZ CsLzcw57+IIF4c79VQcisgRh2bmsv+ihINiu3rujtV8QbpazVU/MCsI/pxIF PvF1oMIXYaiqsw7cGuz2Wtuvg/RA+aNHA9dBC/kvNjV5HSyb6x7+UbIOtIOD dpm3rwP/y2X6tz+vg2vNk1RONiGgNT1QfyUtBFcbwg2v6AqBbJ2pja+tEOQ9 FnLT8RcCj5M+CXnnhEBBt7aa7aoQ/JgR/OJTLQQP7nuv634lBO8/MG/9nhAC Nl6JLeLswqCgN91jICUM1geeH3TTFIbRg0luHmbCcNLPbq+XmzDwHRazORAi DEVH3+04mCQMYWbp2z2uC4MDYWHi8lgY1BdXbXP4TxjW9tVttRkTBtbZaTfH RWGYFZeP8BAUgSk9pyt+DBH45Jz0JFhfBN5sJGmFViLQJVx9vstDBJ79tJha OCECNS8+2crHi8DhO+X3Y/NFgIiNWDdxXwT6vawCd7aIQPxW2VclAyIg2Ufr tP0mAre85dvmlkVAd06x6YqgKDRfUKszJtG2KM3NOujqvlvaO0ThmYm8rIoj evZkGsNPFET05ofDwkTB63uIWl+iKFQVzp1RuioKnA4hndHlohBeU8217ako zMv828bZIwqBkQZRrSOiMDkaVhc7Iwq+Ixs/1HKIwdfh3yvTwmLg87GUsp4u BmNDBw1dtMVAY9/WbfzbxCBsUNq00V4MWp3/mgd5isG6993W9GNiIFuY5uIc LQaKPg6+aalioKsidaKjQAy2zgxFs5aLwe1AKdbmejHg/+VwJrZLDIIPp//b OSgGb6dehvB/E4PaWU2G94IY5LNm9TxZIw5RaxcihMTEwVPERcWXLg4Sg766 jpri0HUtBMwM8e9+50z1rMRBVyvddoOLOAxdE99f7SsOZ0UuH9oRIg5K56gh /WfF4dXf6zHeaeIQMzzcknNVHHReyHB13hWHsaq9O1kei0NOQUaCZps4PNfh 7ebvE4fl5zEC34bFQc1t0abtuzi4/w1Ku/ZPHEQvWzBV1khA+1b5yYfCEhA2 wZJlSJUAtZS3Rs+VJaBjvP8wp54EeEBfnqGJBCxmvWoPtZWAzB/dfx/uk4D0 B28CbvlKQOrp4S/ZxyUgxXBi34UoCUha/fv1yUQJuNK8T464JAF3ozsOvLgu AY8Nde4Fl+O6KwVzsrUScOt9hUNMmwScr26u+tojAV6Z/SJWHyRga9DXY5UT uJ6a89ybPxLwcarr9BKLJKgWG65QeSQhzKcyykRMEpwsxtiVaZKwSUPyrJCy JIiKWXAu6ErCzL/w8x+NJCEj5va9OAtJ0OHtGdDZIwn9GYtsn9wlIUSWoZTg LwmBnjKhKyckwe+O8IujUZLg9XOt9Gi8JOzXYffbnSUJhjpWeqkFkkDTyV3T VSwJHDpjr7mqJOGLtub1bQ2SkHRcj7TokISNDw2L7HslYXh2B815SBIubrQu 8BiXBKEp6qeN05KQW/CbxrcoCeTuZo+RVVJQwp117RG/FEy7nctxkZCCjdXB iWyEFIQJeEXfVJKCpgP2IeY6eF0lMPuUKQW6qzqDN5lKwU+7CzNltlJwp3Bb EMNZCrr9Xugc8ZKCGR27heoAKZBkfVvLHiIFzOeukRaRUvDoUIOS30UpUOeh vLmYhveVhEffzpMCwuKDStt1/J6AomVtqRQ49Rz3v/9QCkIyn8bfbJCC9L18 JXntUpBW/+/BwVdSkEL/Wq/zTgqS4163s49KQdKvpp6X36RA26lK8cQfKXj/ 7Fa0zLIURKnkvmvilAaF7ARNX35p2BUgpzgpJg2RxuU0P4o0lEhulZxaLw1v fvYKBqhLQ+h4x3jHJmmQ+9hQL28kDU39VZkxZtJwoLvEf9hWGjpdkuylnKRB 69tR/V0e0nDplD0t6ZA0sHDpcrUHScMv3yHq8GlpGHlxVm8+Whp6VZTtBOOl oTm595BCujRITv5ro+RJQ8A2giF+DdfPN4vmL5EGsYWjHzkrpcHPPmfz8mNp aChtuPSnSRpEuMZnvz2XhoMe/LtGe6Shtlbn/rt30rBOfB9/z4g0eAee9euY lIbHL0raG39LA798L6P6H+5/j86+InYZULmQnZGwVga21Cy8OCEkAzaBlyLN pGTAc4OejgwhA8c/DUz82IDfE5S/WawhA5+ZxzwO6MnA5YBGOcJIBnYrjR1s M5UB/gmeSn8bGWi7qbG8bq8MaOd2OhS6ykBBok+5uo8M8Eaxr208LANny3f9 0jshA4sfb/ZXnpGBYwILtSrnZGCnp9SdtAQZoD0yyJxLl4H5tfuiXPJkQOJU wNe7RTKwafyM9fIdGdi7O+mh5X0ZWNg+xB1XLQO5m5T3tTbIgIFiaDl7mwwI fKzap9QtA6Ppv9buei0Dj0yVqsMGZcDoaPSGtFEZeJ79NvfWpAzsalDnrZuW AeZE2O2GeRlQEO7Y1sQiC0JbRD81r5aFzqQlnio+WTg/PKp7Q0QWjDRfuGdK y4JHyafQY4QsnKXPZ9pukIWbV/jL1dRlwfjurNiSrix8evzhTPsWWQjvaP2c sU0WFh9Yz1iby8LJggE2HjtZ+BPvLti6VxbWml6XO+oqC5RV48pSB2RBu3GD QbO/LCheup6/7xh+HkRhnzslCyLmud4pkbLAiN4ZKBkrCxtr/oUVJcqC6a/i C0oZshD7HyPxeq4stJQXpMoWysKqVOmsrFuycMD55ieWMlnoYGio+D6QBaVf T072PJYFvUG3PcpPZWFHO6fu+TZZ2PWgWGS4Sxa2D9n+p9iH669eiD/+ThYU 1Ap2NA7LwvF5isLSmCw8fXqVa9N3WeCPp0wcm8H9ZdtpFy7Igtq1cxHdLHJg eK/6+SKnHAyvTWmW4pWDqAM+9XpCcvh7glm9V0IO9Hh6i3zl5MBul0/iaboc HLqyGBKvKAeZVvnpSepy0MBidC9VVw4my0efZ2yWA+EVNYe4rXKw2TzsU4Sp HHjntPsft5KDVU8qru/bJQdFQ5cHTZzkwIg1VkTVTQ4C7Q5qcx/Az6+b7frs Jwc9s4rBDYFycGTgdVViiBzwPI6ccz4jB7fzlPQUY+SgjDrT9+2CHFTdeHy0 NEkOahWjeY9kyMFbmrkePVcO5iREDry9KgcigkNpSTfkgHNG4fzGEjn4+zr4 1HC5HIxVN/pffCgHxhKPnORr5aAgpNT02VM5WOm/puvWJgdZLoTddKccqI4U BET3yEGbD+Wi8IAcLDk1cVwakgMNK+9wuVE5OGDEtXDtqxy4PNPmkPuB8TFx 58uZkQPTtkRxoQU5mFgMG45ckYPmbJ1dIWwUENUsrVZdRYG/Dqnpw6sp8Dr0 +OE0bgpUFTiabeOlgOFWhfu/+CnQOTorcWUdBfaea4k0E6HA2+zg+F9iFHAu JrOyJSkwWNtTwJShwCvOPs9hOQq0WL2Wj6ZR4HF2/wRJp8Dlu9KnG+UpEPHU be2+DRRw77+Ru6BEATbVG7ypqhQoOHc9XEEDnzd07VeDFgVemjvttdOlwL7H go2fN1FgSqFtfYgBBRSV6nNWMSngo1LFnWZIgRtqd09TjClgk7+45rYJBZZ4 zTPVTSlwOzSXqNlJgYmuqQ+bLSmgRIW8RmsK+Ael7tlmRwHrbvndz3ZRQFOx 1m7rHozDeVubp44UIN6yFxq4UEBN+cF01X4KGER4b1V3p8Cy5a25G54UaJCZ uCt9gAKR3xQ9Ug9SQFtaMJHdjwLjO/8+OhZAgdzT70Y+H6HAs9MSGbZBuO/T Dib1wbh+aMasYggFht/GMNNPUaBk07Hzi6EUCMn26PYMp8AZW466tkgKnOW5 XqIUQ4H4lm25yecocGkR4GcsnkfD4LNVHAUe+uheLEugwMr6TzPcyRTY/jV+ v3cqBRJv63Y0plNARCGDSyIL93FreseRHArQ1lvHtubi30eEiiWvUGDhSn+n /1UKeDvm/mwopICxv+Iqgev4vYjHEvtv4rqpO1VKb1PgWsJTo/liCpjGbnIw LqXA96h7h5LuYfzTPia8vk+BA0UC92QeUKCoAl55PqSAX2cF/61qCmiNMSwm H1NgkeXSRZU6jGdj+k//BgqYRSbtvvuUAkcNLz759owCYUO8e9a3UiD2dMpv j3YKpIuLJOU/p0BX8rBffycFuLhKzfhf4v4iT63f/ooC3TN8u073UsDJpyiy 7DUFvrzTLR15Q4E7ya+1hd9hXrcF1xoPUkB9QWhb8AesT4EGzcJhCkTJ+9G6 R3DfW8QFFz9jPn9fCqSPU8D8lkyv5QTWr8tV7ZBvFJhvuSBy5TsFMtSC/jT9 xHUuOfd9naZAox0Hk+cP1hdvyS2VWcxfi906m3kKHLZ7K3DkH57zgyt/0hIF LvqN8Zau4PrzuiXtrFSYOhtr9pmdCvnrBsZZOKmw2fG2usQaKrwrOHlKnZsK p76aNpnyUOHbY7nGfXxU2Jf4py5IgAr/uT5/ErsOr1nmTl4SpsJkPqlbIkqF k0ybmVpxKnRqzZ56IUkF2obLrO+kqXBcbmvsV1kq7Ni569MMhQoSJw4YsBB4 X+HJzLV0KhjvrusUkqfCZS72VdIKVPj7ZLsBqUiFu6d3OyooU8FTzytERZUK UvNBmZrqVDD79fCatiY+7+u/+7raVLg1zGzcpEuF8+aLbRs3UcHr4aOXuvq4 Li34jc5mKpRN1X/SYFJBspp7SsWQCudids1u2EoFw8+yvOQ2KixuG6fJbKfC wxvlG0VNqcCm1ODOs5MK5uVd8WwWVMjSGayas6SC7djLpUlrKvBmPzP+YEuF th2P4l7ZU0FQgXvu6W4qOHI5e1bsoULR17svixyp8FO4wjfFGeMKjzjC91Hh 4qHaK36uVBAQuxng4E6FzKfJW4w88VwBp/iUvalgJ2kvLeKD32tR3rB0kApP A1dv/HyICms6n8R1+FPBSj7wQ9lhKmREymtmHKXCD/+I3hNBGFfHgWDHYCoU mmiIbT5BhfSNfbwyJ6lwdkMIx9IpKpyQlvr3PpQKJr8SLWvOUEGkha0wK4IK o5eO/zkWhfHspN61isE4rbzw3HAO/64RIr0qlgodaQXMwQtUOPOnw/1BHBU0 HWbOJiRQIXxXi5RHEhWe22WXb0yhgpit73a+NFz//M/dw+mY7yfHvSszqXDj 12Lw+WwqGEkwOPdcosIQWGWuz8O68glhzF+mgvhO0S2t+VSoUq7clVFAhV0C tv4eRVRQPy4lpHqdCnzvRx8t3KDChGHpvpZbVFCt2ZyTdIcKQRqdPXtKqPDo jjMfrRT3F6Y5Ol5Gha3W3DVl5VTgIoaTjldQgVT3XK3/gApM5tiZlSrMj4Xv 36ZHVGAt+yJyroYKNwU8tHc8oYJF4Ad77jqMv/cFWkc9fs9R8+eFRiq4WQ7W mjZRYTihi7m6Ga876xufteA1T/nWqDYqzPlPhW/uwH12KzyZe04Fupr3XEUn 1uXgwIxfN/bBRYtf9P+oQN3YODX0igo8Icx7Gb1UmH1YG2j+mgqfZvW12d9Q ofJ5VNPDAazL/HYbv3dU2BMk8JEyiHUV2MbsGcI8HInIP/uRClGHN67ofqLC vcu/tcdHMJ7PS/2yP+O6CweLdoxRYcu1oqq/41Q4bDnYfm2CClfnRAdtv2F/ yG16tTyF95k4td75QYVq/7Anu39hvyW8zWb5jeve1Q2+M0OFA53pNvZ/8ZwV vpKLs1RwyoGRonnMS7hoyc5/VMj2T/P+tYjzwUmAmrVMBRmzhHcGLDSQ0G2P /8hKAxFy1ZYYdhqsEzT8Ib+KBm/yIa+dkwZXVMD00BoaeNYy//Jw08Dj79+i krU0cFcttTHnpYGbj9fKJB8NWK5U3r8gQIP8HnZv+XU02MJlJ9EsRIOTCdz9 riI0eCD4NH1RlAa/Mk7aZovTQLJ9t5yGJA22Lmp+ey5FAz9VwWovGRqIldfn LMnSoFEj4FQGBT+vlHZSptHAKGmjfROBf/e1t9hLp8GU8RGTHwwajCvFOEev p8GocHag2AYafFgsji1WpIEVh3bDZmUaNKytm+1WoYGa0HZVdzUaMGil8dPq NJBSF5mI0qSBIIRuF9Kmgf1+6e4CHRpknXmyW20jDd5edh6q20QD17qo9J36 NBgbumX2xoAG/itdLF5baPAl4tHXH0wa7GMrfHXKkAb90XGPV22lwXKO97tE Y3zOPcN/YiY0sGyRlirYToPEIK7j601p0E35+7LMjAb8XZ8Udc1psEf1V/MT CxoUJK/sN7KiweQv3oVWaxqQMVv7d9ri+qInK7vtaJB9qzTFbhfG32zlQd9u Gqh+s3rrsIcGCwlXlwf24vcP/PV3dMLngfngW2cahEgUmjvto0GkZj/32/00 uGjB077HjQZpBwzP97vT8N9xRLa9J+b9L8ft/7xosKv2S7XlARoU9epQO3ww T5PnYrf50oDJ3v+j4RANXJ6Ylev50+B0cF1gZQANclQ0tFSO0IBv+YjdjaM0 iO4sC5QNosFc3veUzGM0YL2SsY73OA248w3Sok/QQOjqiNBCCA1W+0TNB5yi waIq9cPIaXzObP2zPWE0SOV8t+7FGRpoifx1ZUbQoI8QLLsfSYOuo5SDZDQN WutVicwYzCcvc3D1ORo8abnHGXKeBo/CaWrjsTSo3Ji+d89FGhjKd/xpicP7 RFhStRNo4MSho3ItkQYJg7EgmEyDuqp3tmdSaPAzScVrMpUGPge//dydToOP RndCn2ZgPqR91qhk4XmSuwWys2lQyqErwXaJBgMhV6h+uTRo2vv1dm8eDe7q aWlsvoL1IhVecz2fBs6sg808BTSgjun9F1SI9fEi+/3bIhokeysEwHUa6LHU rFy/gXWaY5ay9hYNLr1fX3L4Ntap3OrWnjs0WOX+eVi3BPttPe3Cpbs00P2x T22plAYvH+T277+H52Ya8DWW0+Be+3tjWgUNrtqFnY6upMH9h2eMRx7QoFkq gnfrQ6zD8MjXhY/wvIt9Wqw12DcnN6Ttf0yD2T9nftU+wbwEC41L1tGAZ+bm 0Il6GogGGfT1NtDgMcdPb7WnNNifWTQX10QDjvUOF8eeYT5vstUYttDgm3zp 19xWjNPNvRJ/22hQ69n51bIDz0E1rLn5nAYnhiovsnRiX26tXnbowvlwuzaw rBvnCN/TL5z/0WB3iQiryyvMq+lBqYoe7LexJ9pcfZg/LdF5l9c0kI46/OR+ Pw0iutvCVw/Q4Kth73fHtzSwqfzgUvqOBtWMyResgxjfOesJuyEaxLZXrb7x AfN4SZo+95EGKX9O/d7xiQaa1gONOSNY33d0kydGsV/G6Ov0vmCdEcLpF8Zw fVc20YFxGtxI4beUn6DBi6fS54InaTD9W6Gu6RvOqd+DpQLfsX9+p+S7/MC8 /d6WfOcnDTRa5Qz+/qKBQu78mOFv3MfhnrSEGRpcZrFY6v+D8yy1xZs2S4NM Al76zdHg5v72+QfzeL5cW2JlgQbt/e/MdyzSQHzm48bkJRp4C3wh3yxj3SpN ClBYCPib2dXozUqALuv9wLtsBIQcyiBm2Ak4U1KRu2kVATFT/wmFcxJwQeVn 3LPVBJx6WdC5hosAv0A7fgtuAlyEV9mkrCXg9ZH0fb08BFh1En5ifAS0K1Sc dOQn4Odqv115AgSIfSHVhwQJ2PJskIcihJ+zslW7ChNQxGR4FYgQsCvMTPCT KAEnrESTqeIEZFM/8blJEFDz+27CVUkC5Lh3DQ9JERBNWdSSkSFgXKco1kmW gD99uyqy5QisrzVDfRQCeIUfrxGi4XMeFvBYEQQcdowViCMJuLoUINxKJ0D/ 193frPK439FvrwzWE3D0jeL9EwoEqN0dCijfQMCPyBTFSUUCSncbj5PKBPRO R8e4qBDwL7GJkqlKAFWRvbZLjQBmxUc9Tg0C9unXPdqsSUBoU65OsBYBsJ2W XaxNAMfzW/PDOgS0Wao6iW8k4PuUV6HFJgJEEvK+RukRYKDUo/ZIn4AdJ6r3 fzPA8z/NT6RsIcCN91ytPZOA9aNir88D3ldz+3uNIQGVKfqrvxsR8F4nYC3F mIBV76/y224jQCWyRyjGhICB6OxVD7Zjvs65zH7eQYDqBdpXUTOMg49nh8lO Asy33yg+bk6AE2M8/oYF5pM9aX+fJQGPPmprcFgT8KX2PYemDQFvjrV1uNpi /hQrkxPtMP6f8nc/scc8pZYIft1FQLxR9QsRBwKOTTefN9pDwCWu55sC9hJQ T3k5meNIwGfdvsvNTgTERlzf8dOZAKX24N+S+wjoFjS5sm0/ASfVyrYediWA tBL/mu1GQJd/ZOJTdwLfPzvVJj0I4Dou+krIiwD5hY9BBt6YB9uXQp4HCNAp rq+I8yGglr3MruIgxpU15veALwE9K3vSWPwIGFpS1pT3x3p2vd5rHkAA3zPp 44GHCaDLp4tlHyHgsYTbkydHCbDmUXEbDsR9Li+s4jxGQOufzjKFYAJuf7u6 1+I4AXEjQexHTxDAQ65UpIUQkOB50bPqJK53XURk4BQBFrdYuxZOYxyKp85J hxHQUTrA3HKGgLnO52z7wwlgTNU2h0cQYM9zL/ZqJAEZj7Y5NEQR0O/5jv4x mgBxwaMzKzEENFqZv5Q9R8DBRPmSzecJWNfJFuscS8CHpw8DT10g4O4jP5fs i9hvpdQdVXEE3Iwy3doTj/W4++iWnwkEsCjmbOJNwqZ/2miikExAvuOE3bYU rPfpdW5uqRjPlueRoWkE+OTGFGal43kPb266n0HAx2Ge+Rc4LN7bvVcZy8J9 NRd7suZg/8+Ilktewr6jRS1p5uJ5rKdMLfIIGIk+Xep1GfNUxSV05grWy9es E5n5WJ9ra//cvUpAltKnoOYCAlZbrp5+X0jAp37juN9FBDxxiyK5r+PfJ+tr KTdw3zLxQTo3CRC03qNgfgvjGEV+cLuN68T+uH/8DgHsiTXn4ooxj2lnHa+W EPDMq96i8i4Bd3Tnoa2UgGQuTa33ZQRsCjDe8eMeAcOvdjmz3cc61j1wRKQC 50Jc7Q35SgLCPggNbnpAwHFNXyHzKozDVm9/l4cEuNq7twY8IqDPcx81ohrr 0cb9anIN1vkWb7mCxwQ8VfS9Uv6EAHft/q2NtThPmMZfX9YRULCjPPFjPfar x6jTjwaMV5iYwnIjzo1ss788Tdj3PzK+ST4j4LzJ8Kf1zQSkXlYa0GkhoOXN 6PzWVgIWhC5L2rQRoGy1S39fOwFSXZ3nfTsIWGNh0nv8Oc6v53WU6BcEfD2/ 7VJiJ55/6wuhS10EvFqxTbjeTUCaj6b2vZc4H/4TGqz5jwBRvZmY5lcEXDc5 7dzdQ4CmHZvWQC/W0/4La0f6cL6pzgl9e03Ag2Vv6T/9OB+6+sjlNwTsfu67 n/MtxqdtJYfvHd7fnN4r+h7ja55qJDtIQFlP0j36EM4ZxwRZ5Q8EmMVrNGp+ xHqp7ffQG8Z4/gjlNPxEwDYrlg8mIwQIlUU/NB/FfPOtTrb9TMCNC/n5Dl+w njk2ljmP4XnDX9a5jRNAUB5wen8lQKIxx9J3ggB+9zOZAZMEXHz4VizwGwGc vLo5wVMERLqnSZ78TkDV3ezXp38QMDF3OfXMT5z7xkWWkb+w/tjPmERP/2/O 7tly9jcBitGaOudnCJi/xXso9g/Gu2ss/8JfjNdMY+/FWXw/pDZsj5sjYLN6 fU3cPOalu1Y5foGABtlVH+P+4Vz1N0+NWyRAujbNOG4J++eloe7FZQJooz8U LqxgfGYvS8eykHDxzH/W51hJOLxq1dkYNhLs4zdWR7GTUCgjrBbBQcKP0h83 wlaRYADPZU5zkvAz3OPNidUkXKv/l3psDQl7VtIsjnKRwB/HZuHPTUKz6FHz g2tJCC38sNOLh4QmLp0UV14SuI7Gv3biI8H6zScpB34S9ntq3bIRwOf+PKtl LkjCmdD+BpN1JNhW6GWAEAn0icsH9YRJmKOwbtESIeFS/0knZVHcR+J0CEOM hA/GhzLlxEkQ6OVZFpMgwdCj1EtAkoSgaavONVIkjDXIRLBIk+CcNKkxh/7n Uv35hwwJHPyPR7/IkrCx4cnIoBwJh47WfeqlkCBfs6LynErCCJvh6UYaCfk7 o1ofEvhc1iW3uyQJ6Q9PLBbSSUjyn87MZpAgXHc3IkGehBy+g75R60mQ3U/a n1AgQVlAKvHQBhI2Nwq27VckwTxwDZu9EgnlbroJ25VJELXxFtdXIeEUZBSp qJLwauBXBFWNBIUgy33C6iRE8BTrr9YgYeCimt88qsFVlTepSULcef3OQS3c X9+wTbc2Cfpk7OsGHRLSAlWc7uuS0Fo9plW0kYRFlgK+9E0kqO9wHI/RI6Fe Xkg8WJ8Ei9UvtnsZkPDuS8yJXZvxHBe0l423kGCk9CVGi0nCn65MzBoJTpvJ iXWGJDQUl7exGpHAkGTe/IkSr3OGhraSQEmdEek0JkHG0sri8TYSLn9wH7pl gtdHjx/O3I7XbBdZYnaQUKe06dsRUxI+7h7vdzEjgTUyq8lsJ+5frYtb1xzr 5COHLWFBwq1k/Rx+SxJiCvsN/qFulUEfv1hh/Fr4Y15Zk1CgtRBTa0PCqqLR s7dsSTgo2H0uzY4EG8uRz2H2JOjFzRr77ML9ta29ZrubhBtiiu4GDiRsOGBG Yewh4W7VwSH+vSTQJv0X59AsuUDJT44k8Ngf3/jciYSaBP2HFc4k+LSy6OS5 YH5YWypj9mH8rBUz/PZj/vKTg+1d8e/f/+wycEN/tmcT7riP6cvvuD1I8J05 KjuNfmcmPXvjifUXV+Jb70XC7Ot2gRveJIS7s0nFHyBhzXc9eqAPCckng1T3 HCShh8i9stkXn9f1lJc4RIJjyEToGj8SwK3HZgplmD1hvPIngVfz+r+qABI2 aUrr5h4mwUszLTD8CK6jyV3qcZQEab1B6+2BGEe493tDEAma26Mz+Y6RYCwU VvALtf9wvKQ3GO8rPvLw4XESarc7K146gc8d3Z4fGkJCQISm0P6TJDRKDv2E UySIPIjtop3Gc1pplnCEkrBjwXXmMyp/PdGgNYyE1dZPYm6dIcFyQG3jhXDs C/frkwcjsK4mJfLNIkmIZ8mp2xCFfSoiPsQdTcKUQtbSBPrm9viFjhgSniro id45i3m5HVd44RzG5Yt/ns95Ejxo1pnbY7Fu9mkkMy7gXEh1m+O4iPXWkuw6 gr6ar29rjMN871nOz4/H+VRlcCIsgYS1IqctnRKxnqSiMzYmYf/Q4t6LJGN/ KKQRv9Hea9R33Skk+FHupZakYh3lbTG7kIZzJYY/yCudhAn/j7mGGSS8313+ TCYT++nw8f3zqGms/kJvFgkrV1ky7mWTcLbyRGFcDj6v7XuZ9yUSUt951Rrm ksAyZrhFOg/jOC1T/xd9vzTP/O8yzrvGKa3iKyToxAwrnM3H823vk91/lYSo nozYjQW4//27pwULMe6Tos6T6LfCPfrPikgQc7wkefka9qXg+/ng6//b904r yxtYt6o11xg38ftbFBaW0eiKwJbXt0jYtv5JaultjOPlVfvP3SHB5cbrQpdi Eu6X3fyiVYKfV4ds4LmL+aRGffmEtl2IK6wuxXkznb4vuQz30xmR5n0P83fL r82gnAStmD1L6+6TcOzqy+JxtOLJDse6ChJ+v2lYk16Jc6LpiPrBB1jfpRTH LVUkzOe8jBJ6SEJC4V7GOEop/tT+5BHeV3HIP6Ua63ptSLxXDfa/R0zxpsdY pzXJHbxPcN53NHkNo/Zv/7I8qCVBcUIhL7YO97NavtKpnoS3JPlCpQH70Ig6 ytpIQthg3MletC3kL9/NpyQICbtdO9lEwnX1gYc7n5Gga2XzXKaZhHa/9qEf 6DPO70caW7Cerq5jT2sl4ZGeboZnG74X7ty+od2OcZaSfsTZQcL2uMT2fvT9 yk/HW89JOHLM7lvIC6yTrw/CTDtxIrrnJEl0kbD1XWjBV9Td3rWiupuEzMpA kwsvSegQPjuw5z8Slo9l+a1/RcLLR56Rs2jhonpmSw/GEVbuZPRin44QRp59 uK+zOwY0XmNe1/sfYe0noT874mI3asiVfu3yGxJKTt6sOzSA8aBvc970loTi l5/mOd/hPAuNyOpF+05urC54j3V+4ufbgEH8XvCtRf0h3BchULTmA76P/jth 2oe+DP/wo+AjCYEmaVIBwxgv3u3b9T6R8KBnIZBzhIRc7zjyFRoxL/X68igJ 3vEl5w9+xvyu3KrX+oL1FXR9dgUVHCtQfT6GcTW58j1jnITIG5fuun7F9ydn lp/iBAnd05IVf1DvD1fm6yfx/fOcBhe/kaBk9pTPfgrfv21ugzLfsT5MWEvG UJPzO9nLf2BftWY4nvqJeVnzsXzrL1zXzjmVZxr77sqbwD503Vd7uyu/cc5b ZdZ6z+C8e9Avr/oHzyUlkTqLasbdOVf/F/OwoH/6/CwJCwc7D1vNkfCvSeOH 6DwJSzLZAUPoyomlqesL+L4L75jz+4fv6fNZ7FqLJJQmevL9Q5t8hK43LuH7 1uipfuwyznHpo68sV/A9yMz4I8xChza3avF3qFbMoH4BK15bzU96s9HBRUok T4mdDr++qJlPowLZHRcectBBzdSzNXQVHawWljiMOOlQ1Jz+knM1HWaTFfOe o2bOTw8kr6HD4+yhRnsuOij1LUhJcNMhT1Ds+CB6hJe5v2AtHbZyHdjhxUMH 0VVJ6gq8dOj9u/HONzR1/BPtHh8drN/G5wbx04Ghz7ymI0CHpdxfJfNo72LR gyeCdGANGbUMX0cHld/kuKEQHZwCvCI5hOlQ8qqiuAVd0mF7HStCB8tca5ad ovj8GuIJjxgdvg78PdGF6s63ayaL02F1fGGkjQQd3sie7l4nSYdb5XYyvegw W8VSuhQdJOzXDe2SpoPt9aN1ojJ02NjSrt6Pyo5Rr2fJ0oFjzSnxPXJ0eChk JidOocMhOUnGG1RWcUIpm0qHGud7rQ40OuxOPO4uRtBhut5g6TUqx+WnlEnS wdw212kXnQ4nczsuCjPo4J06bNmD2l2YW5cqTweI4O+3Xk8HA5kINX4FOmyq +XmhE9VxcBuJ20CHOuuyV6aKdDAxW2pcrUSHzq07y5vRQr1BnWhlOoSoH34C KnSwWM9qtIx6uTrue6xKh7DsilMhanTIfMmTpa1Oh4I7l8ym0ZKY9culGnie fVXlhzTpkGP1fVFei46/5xg7RlFn9X1pV7Xp4J5x77izDh0OzrM5iutiXl12 be5Fr4rqVCdtpMN/3aLaOzfRge3C7D1OPTrobX3T3IgGLT16G6pPh+KHOT90 DeggNTp1eRqNEzAyv7uZDv8MMhcObKFDCkuXEY1Jh/XPVsW9R+vPb+7JBDpc 1mh9YG1Ih9OD1tncRnRwjH176hnK+YcyF7aVDhVuB4J1jeng2nV3+icqtpe+ 9s42OnSN5BEeJnQ4GyBsIL2dDntVGD97UeXvutcSdmA9lZruMTHFPFv63lpG i75fnKsyo8PvxOIdh3diXAS2aMub08Ez9SX1Ayot7MGXZUGHF2Vvsiwt6RC6 05LKaUUHxbGmO7XoVq2o/45Z4/4iYU7Rhg6BXcuyI2jKv8CRHFs63Fs/dtPa jg7du5z8VtvTYVfAVFct+u5cuPqxXXRwyxdM37Ab4x61IeMjmua1NTPTAfex wznLfA8+/5evLtteOsTnnOx/iC4Zxp7wd8S+ZIxV0Zwwn9wmf/vR39+vaSc4 02FdXauwkQsd1BMmfv9FrZ15e4r3Yf52Wdi67qdDtGXCf8Ku2CfbO63bUQ/7 vCNhbnRQcDuUrO5Ohx/+evc+o1Z35o7keNCh7EuVuoUnHfiJ4GkWL+xDu/P2 lahFdE7VAW86+FUUi0sdoENC0SHpLvRumiIl0gfzED1JaB3EfmA2t39BPyxc OZzjS4cDVSEi5ofwPIm9LsvofW+1G/f86NC/Jf67uz8d5q7WDQgHYD+y/3rW gup7EfdCDmM9zVzasuEI1lP0us536Oi6i04JR+kw4FOQsCUQn1f3qP4H2iT8 8tfVIDrUyn9utTlGhyq9hctswZgHC/5jFegPqbDvHsfxHBMTPsIn6OD/aM/I MzTC+QJbcAjGn6WGSj9JhxvXJvAdhfPRUnfV2VN0EJmLbtc6jXVQ8DJhFK21 vzybFornXe3rtjUM67VG5/k0ejXmzduCM9iXlqcmrMPpcF1cemEFbU35VVYa QYcJ7lYvl0g68MTkSfFE0SE7dPlEDUoGu/b6ROM+/Z+qicXg/PkmqNWMNvi6 6QadpYPp13t61HN4Tkv43IXaV3YnhZ6nw1uJ/XobYnH+3E6N70dzN7UMxVzA vmmfV9O4SIdtQXTFDyi/jA09Pg7nX0uo3KZ4OojfZX/6Gd2bdtEzNQH7/6Tg amYi9nvAFttJVNHj0OWsJKwrh+zxrcnYXyyt73+gerf+vMxNocM+a7J5eyq+ J77dd/+NsscasuSn0aGPeHnZLB3r8AnP5z+opb2pUkEG9v23s0HmmXhfS6/n LKpxldhdmIX9fCpwu0U2HXyfS4/Mop3SrWcKc7B+A45KWlyiw6Bxj+ssGiul fbMgF99f05lTO/PweZWcH/6gPcHHX+Zfxnjrfmk0vYL5uflw32/0j9iFf3n5 OH9jHbNNrtJhJXjw4w/0g4erQk4BzhmbkaNGhRi/0kDvSXRmLZtTehEd+A6m WG2+hnUgf+rnZ1T8i3tK4nXM77WdGro38DzrPoZ/QFfCj3Wev0mH8qk1Umq3 8BxceSJvUGdSVSDiNn7OfMq9/g6eh7x5vxud4Ip3PFGM3/txhE2uhA7nRhYc WlDONzF3/e/S4fwLPnaRUjosByZxPkGDJQS4Pcro8K0+mZf7Hp6DdVf9PdTG SOKoQzkdYqIHacuo33X16Gv3ca60nh0xq6DD5q8DW3+h70JE7bIq8X2zxs59 8wM8R3bS0RH01gqL2oUqfL8cCPyu8pAOHV0jJb1oRGav5KlH+L7Z1xwrV43P pVf9fYYacAcK+9Zgv35X1uB/TIf3r75aVaLaBztk9j6hQ9LKnckl9GtGXHVh LR0qPXt0t9fheppSVZPoTjYPreR6XE/Sy0OrAeeE5oHUN6iK+cHG0EacR98O F1CeYl3GH498hiorh7n5NOH3x/qm1z7Dfi9UiSlDfV3Oi9g1Y393Bu/5i0pv 8czNacE4ldoOGbTSofoko+cDumi80BrVhu9Tga4n9Hacw8J9Hm3oJ/H33Ic6 6KApM1LO+xz7yMtr7T3Ut3TM0/YFHVbNHqybQecZ5R2Znfj83XOvN3bR4eM5 5shbtFwyrTC0mw5RpV/cZF/ie9tIj9qAXtWdSHP7jw5TSpc42V/hvKKZnbyG Xv6ek7+thw4sj782f0Hdz2/6dr4X64vh37K+D/f77OrVdtTLo/eU72tc974+ 19p+XI+1KKu4/3/ve26G+RvM3+Exn2+oVuKz4vgBnF8lBd+V3uJ6TPjyAu37 b2jQ7x0ddniG9fG8p8OZCmpUCVrB1qJiPkiHcRvfd5Oo7Zjt5rghnFuh+vkb PtBBfh3J2oFayheJH/xIh+MGNLU1w7hvm4LtN1GjF9PCJp/wfhPjT6NoYmNG WfQI1pcQtyZtFM/reaaqAb1cNb1p/2ecO+cagpbQ7N2Jd3O/4O8NhvPYpjHs s719/f3oeLxlW/A4HQQbWh8JfcW8K1Ndy9GZS6dWW03g76E1vaXf0MefXXgv TuL3msYOyX/Dz68e7XiGCuwI+Og2hXH74ft3GfXIOsCT950OrwsE3m78gecv qb7Zhz6ucg8O/IlzNJ3jH98vnL+BNyKK0VzrHZw7pungc0vOeBTVYpmNjPiN vwf2dNVLz9Dh53rZqkfo0Lx/if0f7NuO2sKf6GWRDpv4v9hnrq9Z1s9iPxR/ KmtCg2omxfbP0eFO+0z4Ajr8ZmksYx7P/4zJpb6Acb0XueEFypHXtPPAP7Qv ksG2iPIB62WUffvyO90lPNeVsCOvUOk/ixz+y/g7yDw0Z/UKPmd5ZqwAtb7n r2PAwgBP9y8xr9HCk+kJR1gZ8CHZKJObjQHSt35euYZaX5dw38LOgJhCI/ob 9GH+ofGjHAyQ07D3XruKAbHPDEavoT930923cDJg4Ttbbj+66vzHniOrGcAv V8fDvQbXC+1mKUI3DHyc0edigK7O9HgvmvQoNNufmwFf9Fbv4FzLgC21KbNX 0J2Vz911eRiwp3hVVzfqXcjc5MPLgJcCnq4sfAzQD489n41enyopVeNngKHi Ukob+t7HIthVgAEnblzeM4cKnHaYSxJkwG0rwWz5dfg98rluPZq/hZ6+W4gB S3vCf06hjkED5meFGcCxTcRbWoQBpaI24RWow3h8tpkoA7xaPwYMo4E3tLaF iDEg4mysFL84A6IWdcquozFBn40MJBhwbiLt9StUS+qV/EFJBozsFDi5gqaE WnZkSOH+j+8ZUJTGuBx1H29ELQ/5zTrIMCDaMOLZFFotlp4SLcuA71M390nI MUB4/u/XUlSfwyTYmMIAN/4Mlrfo8H1Hs8NUvN5NSeeg4fX858EclIvh9EWF YICG7cvvTajTmW2ze0gGbA66XTeFUnx4z0XRGcDuctRCjMEANtpST/H/HIt1 BHkGsJYID/ein5WWGAfXM6D97me/JfSuStf9FAUGNNvufETfwIDB42211eif S9uaLBQZcCnwQuwwCmadFsFKeD9VUIhLGevkzP7sPNTx7V0ZNRUGZOgsFjah 0+vCxnerMsDqx5LyBHr3+ZmgMDUGjD4KOymgzgCpG6HhRaht2umzOhr4+ay4 eTsa7Fy1zlmTAasb7Qa+o72JL1wjtRhQ4LxtXEibAQEb6g7fQBNULR9t1GFA sdYQy3O0fVOAqYsuA5Lf2Nj9QB1OaLtEbmSArKjEAaFNDLhWdlHjOqpgurik o8eAsk/+7W1o5+vE3Y76DPjWUTYyiXLXvzwSZoDxc35bz7eZAYtzI3xX0T8Z Uy7qWxiQc17m8FN080mLCDsm5sU3LGUUNeZf4xUMDLhZkbqR05ABa/fI8GSh n88oFcobMaD+uv7GR+ilF2ZdO7ZiXr1k5QdQheVf4QeNsb8ym9/Mo4UZUTMX tjHAPp0pIGnCAM60RcU7qFHyCLfedgaEJXR8bUerL5a37d3BAD/WP75fUUrI Rt6Tpgzo+X66bI0ZnqvWRCQbbY0XPC2/kwGNTu8/VqEGe45ym5hjn9tzavWh Gja5Lp4WDAjaJLzzN1pJTdgYZcmAGS5OhqAV5vNFcX8+qp1kc0HFmgGvbWb1 atFR8+V7O20Y8Hv7Kvm3KNtWnss+trhPq8z+v2i0E2XdWTsGNB24Yy5kj/kS /L6zAHV4rL5TdRfu1yvYrBbdbFbCt3M31o/qyKs36HFhySxvB6wDdR/KzP+0 rLoduYcBxw5xaPLvZYDKcGpkHjq2m/pSwRHr4kWZ7EP0b26LhrETA8wPDZr8 hxbozTjuc2ZAhWO91iTafOoiX4gLA95c2jXOsQ/Pl7VwPgUVzMiXl92P66Ya t95B04rmlHRdGTBXWZLahDq3uM5ZueF9JbvI9+iuNDNrH3cG/HeSGTqDcr2+ HBDhgXNHY9GVx5MBJxMd7bJRacKNh/RiQMPDA81lqKd5wBl9bwYoMvSWW9Dp lVVnbA9gHgf+WxpEGYKZxgd98Pk7HONm0JVw2VfhB7EeXgt+5PZlwDblVd8z 0LHouX+UQ5hncf3/itG6u2E3dPxw/hk1nG5E17ulipv7M+BGuOeD1yh5RcfW LQDnnltl1SQ6QmhIHT/MgKrppFSFQAZcaJziGjyG50zeGZl8AuelzA8jymmc n8WpHPfOYL9v0mlhRmGdtwyc7z6Lc9HvrLBMPPb9OvUC31R8/sP3yo+yGeDi EluzKh/n6FXHDw/vYl2OKHH4PsF+8OCayG/D+0c+d/f1Ylw8nz5YO8yA3aNX cg2nsD8cmFyb/mGen384rsYlD6uYEaPyYvKQfp9iK0eXB5LRWC+qKQ8VOW7K fIbysJWXLXeVlTy8iihcs+QsD0diX6an+MkDX/IyhREqD8VZSndr4uTBNN9x k1WuPIzdiG0euSMPL7S1XCbQLLu4+FnU7einxxzF8lB68KWZL/rPrW6gG93h WOKjXSIPTpvdBy6hhyniZix35SGKvavGC10TaMP7HE342LtfrVQehKz23M9A if4XXxZQrf2GUq5l8mA89sCqGb1HIbw33JMHKcfk0CT0fNpS6gyqOhIct7dc Ht5ofI+uQyOivEOJ+/IQHyTnEIu+/X1PU/+BPCgcMxL4/lAeTsz0fLtaIw/J zG9M5Tp5uHWRI626UR4a+6S/bGuWhwGK9qZXbfKwc3Or85ZueXiyd2/EnT55 UDk+WST6Xh6upoa1Rn2ShwnVT0ebfuI+O02kOVbkIdy3uMWYdz20rxY4elZq PRw21TtBVVoPwnGeYbUG66HmRWL0Xov1sJ+v+sIfl/WwynokKSVgPdxJ4c1U Dl8P1j26ee1J6+GPsHuh19X1oH3k1WqpyvWYTyP/l63r4QGj4tXZd+thJpLY qP9jPWgNpl3+yaYAxzZysN8QVYCmPE3qIkMBBFk9mLa6CuDqlepya7sClLU3 nl52UIBl5V859j4KQL2XMnY/WgGMNTS0BfMV4EDlq6jDNQpwUSfoZWefAtx9 JCSr9EsBXupVHrrIswFsGriVUpQ3wH/b3L5lWeL184clVw7jtTWf//XkDWD7 2lO5pHwDvHJ6PHX/FV4PC5ZW/94APd4+AQ3CinDDxl2rYpMinDJwXri+TxEs 5Hc3ZEcrAnWd9bm4W4ows2hqfqZTEdrGtq47Oq0Irr+U4gUpSjC3IMJ530IJ UjhWwm1PK0Hr+UodpatKsMztO7WqWQm0E+WuffiqBIcE+xyr+ZShMP2iYJqm MgyIQZvfHmXgz/1zxiRMGUxki7UphcoQWuD6bb5FGSpI0aKeSWWYuPl8710B FaAoRgqc11YBh1KdVldHFUhU/xamF64CzyoLtISvqcCLzXo6Fl0qoBO6pkro lwrk17zWfiukClzz1x5c1VGFIN0g7QN7VeF9sOED5VBVMKnk1565ogr3pgcr axpVQUK9RCtyVBUadTe/LWJXgw7vs1UcEmrQk9GZ6qWiBrrMLPZephqIucVH WG9Vg7moyKUXJmowcO34KVMzNahuOTTbbKEGl8ZdjxnZqIHIRMlLPwc1SJqc U8pyUQPuKeMLjR5qEPM9+fPkQTVY+fHeUPSIGsRN9woGnsZ1/7wY7jynBkWz z8oVUtVAZeFJ5NnLalCzWGkzfEsNXK4O5ixXqwGLMecnqedqcG1MZcOm92qw Pc4hcPeUGkyoRNQELauBtWPzCRchdag6y629fb06SJdbTattVoeo9+llkrbq ML76rR/HAXWw1JTb8P20OlTu8xzrT1YHyYu3rzVeV4eIB9/dimvU4ctHTbmM bnUw5zn5/syoOtzXrcvxmVeHvKLPN08IacA5ft6qc8oa4Dhx1GGtkQasFeln CKOPmQZ/pVE/34JmOiqTwZmhgnbWH/LURVVFdNhN0WRflkJH9Fd9B/ihC3T2 /ZdQ9nj9sDaUZzoo9+//vj+kOS9rrAE2Hb93b9+mAceqKioPm2hAdR18OLRD A1ZaOrl8zDTAuNtRy9NcAy70j+1ztcT71Y3f6ttpQOLFq7vE9miA4Ojiy2ln DUjbvNe8y00DhMUmdrT4akDGz1Pb6oI0QLRjrVFVqAZkFeVtKT2rAeJhyvo3 EjVg3cR8hF0erufQ0sJyRwM4n6XylD7UABb1/bZOzbjvy4rZa3o0YIZ7bvDB Rw34fuIZ4fFdA8ZHkw8KLGpAUfDDMCUeTdjHOZSyQ1oTJLI4bngqaUKvvGJN hIEm/nvBpivPXBPMTEM+PXLWhFVvr/zt9dOEBt9m7l+hmnD636Qsb4ImPKCk ya7J04Qf2/Rk2Ys1QeHQsMxytSZ4JMfKzLdpwuUHqjIz/ZrQ//a19I8vmiDI ckZ64o8m7KTTpT9zaEERmTPULKwFCwRvwQ1SC2yJSI/zWlpwh/aH7mOsBay0 g+M77LVgL3XwjoKnFpRTbPy5j2nBGkqz6mS0FrzjHxSdQe+uzCwtohE/eD6v isF1PpAv+FB6t0GFGNpR6hepgB5OzLPSR4UCXshYoJX1znLn0F2CU5R69I97 GG0OvVl/gnf7OS1wlA6cyzivBTwn/UZGY7XAUnRX0vxFLUiu2KzPl6AFr6wZ Y7QkLRD+zpemm6IFKyMKir8ztGBiwLip9JIW9HXvd/LN14KG5lO/6de0YK2y zSx5Vwt2p8v/I6q04Oq/pWVavRZMuvey0dq0QKfjDif1Py2Q+qRF/zKE51+o 21r8TQvGBE3djyxoQadCT4T2Gm2oMHTJXxDRhpy9Y7X1hDacOXr0fYy6Nnhe +LdgytSG7RrzR5cstWHDu7/j9/ZpA2/MzH7PAG14vzYgN+uUNtxauvUiDw36 MbJUgDKHZVVvomt79rqWoK+fpaeUowG3uGceo6viI3a3oHmH/z56iSoHZGWv oHV+G0NUTmuD1aEBBxc0Zp+Na0moNlTbtPv8C9OG78aGR83CtcGJekzBNlIb 2pZuDO+N1gattwM5bme1oaCKx/bgeW3QDRwuK72oDV3KVbwzCXiOrxcPbUrR hoVr+9vPpGtD6Ir5WclL2rC0V8+wKl8bwivll2yuawMLv0j11B3cpxzPvX2V 2jCoyn6zu1YbdmIHQCvuw/pXevlLbZB3G4+jvUWDZW45jWsD44Lts/S/6OXz Hzs5dIBe/mSRUwht/iUOVB0gBxjaJ1XRKSeb+5t1gGBN8Z/ciYq0XCAdUYV/ 1118dIC2We1p5nHUxmuoO0YHqF6XFtakoSe7RY0KdGCzm/sB9Xs6sNf0z0NK vQ7+no5dI9ClA6kSUntX3utAKWvp7e+TOtDxFRYG/7+S7TQeyi4KADghpQ0h CUXeyJI9+8yZXRIhZStCiSiUyJaKUkKRtNBmqWxZIgmlVMqSCiWkZEkiEVmS 9zzPfPr/xnOfe88959w704em1kPvm3dm9fP1gK9s95VyST0o3rjj/AZlPfDo sI1tMdKD5fs3nXDbpAd1PKwjwzv0IDzBOCjMVw80FHT8hI7pQWXPm79mZ/Vg 06390TFX9aBtzyKxuhw98FLOvrbwoR5MDJiqbHqph/u4aaTTpgeWlOmNKwb1 INhji9OcWT3IOJvr3S+sD40P5oY1yuvD3y7n2Ps6+qC48EHqVbY+WOuK5kXZ 6UPYjr2V3l76cOdkdYNNqD405ct0Gsbpw2zroZ9y1/VBha9xdl6hPmxVXSs8 /FQfjtoeW/W+WR9ywts0Kvv04cMtHVrGpD7wvYm1OrPAAGzqo/YxpAwg7WVY zJSSAYw+C7hdoGcAjCc+z/awDUDL5nX+oJUBXOpP2TGC8kR4LfyD7pHQL5tG X+cI7OGxNgA9xjtxAXSu7z6/xWhzyvz6ZWj6y3QlOZSH1tDhgzqW/kkoQ++r y5kK2hhAbrVarssWA7hpbyhaZmsAF4fYgUu3GcDbhJooS3sDWKhndj7G0QA4 bbU3X2w3gKNHNhXwuRjAcZkgoWfuBhD18KbbCU8DOGFfX87ZZwDRf/6Izz9g AK6/0t/JhRqAyYDVOcMoA1jW88/CJs4Afn3KXuidbAC1H+xeRV43gO7iSIpd ngH8S8gvVCnHcb7ta2ZfGoDGpnlX3r43ADNlnSWZPQbgJuhy/PCoAYR2x/wx 5zWEpKr7e1ctMQQtJ23dP7KG0DCe969+nSHsPadck04xhMt+7tpSGw3haaf/ t0e2hvBj09HUXS6GIFEeb71gryFQla8KFgQYgufFnPKtEYbw4FrIsv4zhjD/ lpl/yCVDsM9bXr8o0xDuFH9TvF5oCJPl949pPcJxan279BsM4fBViQ2UDkMw WMJWZf7A50cClphNG0LpcPqIpZARSJamffwqbQTSO2PMAlSMYKXQgbK5hkYg X+SgfNHUCP5zol9eu80IlASUhR7uMoKup77njgUaQeqx+5Jmp4xgG+3fNZEr Rvi9wVJszTGCAUPTLeEPjeBZwMajq18ZwbV8i7yaD0ZweMCqzafPCGzW2M5b Om4ErVopXwrnGcMO6tcy6xXG0L1R+fyImjF42vn5JIAx/HQvZWvZGMNBv9mV b3cZw1QYe9IvyBiOnI59KxJjDD+WSvC3XTKG8Pwz87tQ4U18S/rRG/2HxYZR 7RPDy/+gz+Q9Vv5DvzluUV542RgWJtF0pVB1/M2nhCbMP5B7D/3NvC9Fu2IM 2yKmT9ajfWdvvc5LNYagGzbLzl4zhvmFszv8bhjDpSfZmdZpxuB73fExf5Yx sMMXfCzJNwYZp4eje+4bw6jB3kUrKo0hLbnrdd4zY7AZs0+g1xsDn82bLS1N xlCUb7rMq90Y3BY/bp35agycyAz1yl/GoDx1Oip81hgW+/q2URaZwK8eW81Z KRNodjQ6+UjJBLpu924+bGQCP8fOSWlbmMBfukn3DxcTmH/2W27mARMQ70gM dDlhAvLKVJrUJROonl+3pfeuCeR/e7B1osoEHEo89hDyR4oHE961ehpDaL/S L5WQb1D2LqFddPBbwpzVLWOEEzpe26ZQFvtf6TRKG30ePf+JCVCux9stQ/cl dF9ai16NNGgzQl8fipO2IMzwzAkibGIapxHyraqrJ9SadpxAXZ6xrRyrcZ/b EtiVz0zg+PcOI7kXJiBwsiRtyUsTiF4dv+DfK9xHw2mz5DoT4A0+cUqjAdf9 71jNy9cmENwYJuj2xgRMVvx4/vKdCfDsdjih0WICy1yLognX7VgYQ8hy2BVL 6LS1Mp7wgPWyBMIbZi8vEDbQQ64QXvq97xWhe6brJKH1xb4GLRROe6froAUa b44zUfn3um5b0Aubna56oEKvjrUGo+GMO2Jx6JwvEmuz0BPhkSbP0fnSI1Zd 6JPC41TR9yYQskFcjY7qfM6U8ke3BTu8nvsB9yO2OPIKmpJXpa/RivkcVnO0 bzOB61qXw451mMDNg3OvZ3eaQHqJ/5OmLyawaX1Brsc3Exgr/nlxagjH666L jB0zAU6x9/5Vf00gYHq3RxkfBdJoO523LKBA40nHbUOiFPhXb2sZLUUBVbHN HHl5Cjg4mFHL11JAZMk6U8KapyJWhEeCxuwJ16u1uhIOfinfS+i4MTKM8OW9 jfGEEu/EaRWo66/OEcKdq551V6MullkttehKl4HCNvSTr2r8ANpxqOk7rzIa GsqWRNuPKdxch9p4alZsRV9ZUj6Eo7B+42gmSimiJbmrUMBYQ19PXpUChrnr WjtRf12FR83rKJBdsTyjVoMC3awlMVVaFJBp4Pe7r4PxaXb+99SAAgFJDz42 UCggN5kY/5FBgXqnfcxeUwo8vXxZusaKAg8+PP99x4ECeRKjdTFuFEjfsjLD x5sClxM2hlkGUKCH+XGv23EKaP7Z4xB4jgJhd/6YxlzD+R1P6F3LpYDYYvE1 RQ9xv4/TxF68pECOvxZf23sKTChU/RrqoQDjveXnOb8pEH/qU4PEHCq0GflU KAtTQXFoOpsiSwX/66cvW6tSodJ6+andhlRQp667RnhNhVFMKCxpV0t4lN/n C+HI8NE/hO9eZq/2QO/dbLYkPLYiaL4nuvm81FMvNFNk4Y1gdDpuJvw0uvPE h+xU9HlY0Yd8VCUgTqAazT0SN+czuu503Ow0mn8+7u8yIyrUJv2w4aB9F8yy D6FzLt6ek4lalC8L0jemwqXPJwZfoT38467bTaig8OBy/3EqFdx8qL5ZNCrc kOseb2RQ4XNzdNgfFhU+zuWXPmmOcesdKZOwoUL9nim7THuM51LAH10XKgzl X7Nr9KCCRM3LB177qUDpHJUSCKTCrnGZ0GvhVIhdZNphcIIKxQr+lKZYnM/Q hUo4u9kCCBU8jGmEG8KU6YT7EyUZhA8e/WYS8v1oZBN+z/SyJ3yzk9+bsDlP YE0zMd/03M+Ec/8tVehAtXjk9nQT4+5WMn4T8zk7reSPo4Kks8JjKbRqxw8X TdRrxz1eUzQo+t+UPxpVaPo7FU1sTxisQY3cdELL46nwtb9ZKP8sFWJ8Ay+l naPC3X7T81cSMR+uUvGJSVSYaBs4FZNMBWnbisjjl/DvS5/6el2lwum3NU5W aVSgn2sw1b9NhUnLJp2VuVRY9SdBdk4JFThXreb1VFJhH0t45MULKiT9aGjL aqRCeWLss9hWKmR13X59so8KFzWrW4+OUYHx+OevCl6AMo+Z8bJ5AJpLFvy9 vwTgdokkb7EEwModa+YWygBcENBZcFcBYFEuTThHBSByi6X4HS2A6WknqUwD AP80r5VpANBvFqRwnQPgMhK1NtUCoLu9QofQ48UYlfB7gdpGQp+UXVsJf51I 3Un4x3FREOE/jbA4Qjjetu8qeqzZwPIa2pR02OQWumbrA5W7qOwug6el6LKD DxyeoMLHDUZq0Z27jUZb0cINJr/7UD416tgYemO+7/1FlgCU3uuH/0Pbn7wx MkF5hd2fnkDXbB83a0TNs6LfLt8MID/4bkTVCmBCfeVSsAZo8PfStrEByCgu ttm9BcDowkh53jaAN4fU1/xxANizzTueugPj17szcXIngPrTtKW2uzAei6vr 5D0BElovbvjpDVDtnuhe7gsw9jP2yKmDAIoh0Ze3BuH7HjOkt238rxD2U/tI lVWdUgj3Sr4hHRwuSyXc/zL9KuExyotbhElF/fmEVmz6wm3ootbLHoQe54Un HdAqyxOndxDrCGoG7UaFH7Xt2od+6Ei4dRi9/ndDfyTquYJX5Szx98RIvgzU dOG89gdoaWTMvQY0c/N/lkaHARKlH/XfQo9+s4sUCwb43XP626IQXO9rublg KMDHz0P5PGEAmz6tEp9CT4uO2wdEALxg114dPgbAH3L9694orPPdAKW+kwDh bDsRuzMA5R2GUzVnAaYOynw1SALQX8hTl3UJ4FBa170VVzGPn4bkZDPwteXT catyAGq3CP6VLwL4Fr/U878yAIHalS2KVQByc1UZyjVYb5p+vuprAIdQpox6 C0Dg/c2nNTsw/hGnP9rdAPlqnu7rBwDq9gS80R/BvKcdpRhN4jydsdkmPDQ4 EJGdQ/hZ7mUuocXT3jzCh+78+YRr58oXEPJv2F5E2BlzsZhwn1J/LeHfaoMu wvgu5yoKKs9z4joVPTqzN45DzDtlFWqJqsnzLrVHgzfk33FFX/g6gzcad2Ib BKO2KZYQjcoUcuACOm9h+kwu+nsXz8NnxDyPnII60Ms3Hn9fw4vjjyts90WF d0W/foC+ONPypG4ODcLuKZR08tFAp93/zgg/DQb4qlIE5tLAJGbV0Kb5GKdo BPXCQhp8udR59tMSHCdH7VqzlAYfu5NnRyUw7tvD0lVSNFDy3mAYJ0uDBvWb 2xzlaRAwOnVQaQ0NpO/bJIytpcHUcA1pqzIlkfC+exHphatK5wkDPqSSaplH JxH+fOR/gdCGdeUaOf7V09uEqTz2/OPo8fVDzoTHrJ6MTqIR3hdOzqAvwtcF CCjTYPG5566L0DYxt0xJ9NbF2f7V6EHpFDV1VCj42womev29jpA9ul736IQP mpFsrNOOik392W+mgvM7FWWXogKv6j0LVWlwUu+bYo4aDeZnzOnNWEeDM6Iy 6dfUaTA7Ldm/XAv7o0ds3XkdGvQ2CB9YrEcDh9KFpdEGNFgSeCVv0oQG1brK GV50rOvv0ittbBqoF3ESzDfSoNuvJbrCkga5adsZj7bS4FBz98zj7TSgCHqX PnGngaDBqH/1Xho0egWrPfenwcUU3m8vDtNgZ0P0zZcRNFDmEd5ee5IGo5rJ y+rjsB/dZN82JNEgMinjTGMKDTa9UOW8TaOBxGQRb1MWDT4pG5U3F9DAVcC+ grCn81Al4Z6y848IB84XPibct7+xivCgwsJqwpBWznPCBwMp7YR/Zn6NEO6+ x3zbgjZ7JRe8R4XlN1/rRM1a58X2oS5RWat/oQGa5mVTaEzH4Gb+QhqcUpve LIpGh82zWoWeqBe3Woda72cJs1FZkYDX29HvhelxAejmwbVzH6HFinfD5hXR YIWrzpgVevan/Gv3ezSYGyZyJ7CYBqFCPMdPl9DgV/KQU+p9GijYnKvqKaPB 1sU6a9ZV4novW04fqqJBWeThn5XVNHj9eo7QmRqsg9QZBfs67Ndd4tQ1jVi3 gqv2o+/w/b+KBx+/p4EBpyAuto0GJZPlpDo5NaSFO5pINUQ+k+Y9HSDNUuKL J8yIlSINPsJ/ltDSb4j0+leRy4S/bHXTCKXqk/8RMplT9nHo14G3A+fQY4nZ YUlo+KTB3lRiHucauwxi3Zcpl/PRAW2/9oeowlWW7Au0LmzeVBt6cHtt8zAq bRJXINCO5y9O4bQ/euFzmWsnaqNlZWTegX3Lenyf9YkGCXbqOtROnHfv1Xz9 zzR4E75ITesLDfpz7DflfqUBb1uGj1IvDSTnj8SmfcP96lHyZAdocNg6+3L8 Txo88ZE8yfObBgtPRR3wm8B7J33EuesvDa4+cja34aXDyUD7m7bz6LBf3WZi 2xI62PWZWzhI0AGusdOdZOiwdhtM7VCg4783DDfvVKHD1HPtTDctOnwNV/u7 y4AOtesVrfcAHe4NrbrtxaFDSqbUP28LOkTtENuy35YOPhKLs/yc6LC1QZDn oBsdTh/6j5fwkSxjDuHocxc+QsX94fyETstSBAirPd4LEqqVigoRMtrdVhHa 8xSvJ1zv+Vk8ABV7u2CMUCHndlcYqnuC1RiFbs2r2h2PHmoxmbmIJv97kHgT tUjJSMxHBQzPJVai5e9DE+vQJxf3WXejNfYuIn/RBiniP3DTwVF7gLUd/bYx 8mEmGuAuozmMDgmL8fPtpoNHhdB7cQ86dHryZintwfxJTIQaedLBPzGn7bg3 HWKFdxrW7afDrVjxS2IH6FAl9OqP0yE6HA69LKocTAfNIS+1P2F06Hc2Mq0+ Socbbxa4nYvCfTLaw3acooNocc5FlVg67PYsJS2TqSZd8vY1qduJNtJSwz7S nWn/SIUWSlwiTJPnuUxoYvCd64ol6YTGM9q5hAZv0ueponoZ4u6EywfDxtXR vzq90dooJ3b/ISM0sWfCjYEuFaVmWqAJlKhv9qjo3lrlXeja6vwFwSjIXPgR h9odCqlPQ/spEvNE4ugQLFhAD0cXNG4MG0BPxnQv6omnAz8n7Oqns3Q4OkdC /cM5OsxU5D16k0CHvgr9m+ZJdGiseBL5Ihn3XWHuQb9Mh/SKlg0VKXSgWm7S WXeDjr9jnspey8C6+BvOF86igzB/wWhEHh2ykxQ//SrE+qYdXfj7AR3qCtoM xx/Tof2RrufECzoM1scnTzXgem39z/4202Hxd8bvf+10kJ1IleftpsO6uROb +QZwHTHrIwIjdLCUz8kVnKSDi8bc9vk8DPCluAgtFGRAhHmZ/uLFDDjnIOYh LM6AVhGtPYTyLy09Cb0ifLwIi/Ri9hJOD932JjyzvXsfoUzdSj/CFzL+Jwn9 91enEi67Ph0qglY0ajmJojarqjdIof37bfXk0baLDfUqaH0Vx10XffT98RQF PRpTOGWO0lXTpxxQ/vqkqT3oiWqBsgh0XnnA4YtoTFGPfj5qKPf97iT6PW5o DUOCAZf+jqSeQXeea/K9towBa9eUMAolGfCrLFni2XIGPLA83P9eigHlhXIb V8niuuKvcvbIMeBpkP/iAgUGPG+T8p1UZMCunb2nn6vg+n0FGYnqDEjzDnvs oo1xjZi2qekx4Eug2PiUIeZvplO4hsKA0fwBUg/3P6Qfl/GJEFrULiatCpci vd2jSRpvvoE0wUpblPDCVpmlhBXRNGnCr2W7/iN0z38dQdibYdBO+Mt4+746 9O+7CJ5G1HD1vKH3aKB/fFsnql17QWYAHVp91XkczQrNuMFLxfiXL46QQFNK Du1QQZNsOo0BrXnSyMlFpzWfWEsBA9RuFG0/iQo4jvZG0BjQLqbtG0xnwL0G /8kDDMx7dOExHyYDwtf+F/mNjX30KjnKbQMD3PYKnfy0kQG2C8Oi7S0YsOlG pN8rawaw1p9xMNrGAJPaREaOIwN0Xa6oyrgwQHXspnicOwM0knQdzu7FuHVr rib4M2B9s8PX84dxXwGDiskR+J54hPelkwyAYtGCK3EMYNpmjKUmMYAzpmd4 PYUBZkmvwm+mYZ51tz9Nz2KAVfNPwVsFDNgScMz8TikD7MTFz2U/YoBj8a3m 3OcM+M2uJo398Jl0jdcM6aPp5S2EdrHrSWPy95NWvLtNWqjd/YHwVuLKNkJj G79fhG9Enwrmoelxv3sJA4XWPL+LGk2WFN1HZ/s4Nx6h6g7lei9R5zqNhrdo HCXDvR1VvnLG/Tv6/M8B9wl05xZH97kvGBCllbpaFr0j3Nmli9YNrbq5Cf1y IU4yGR2j/I37jAr1eQoo1zCgtPhag/FL7L/I5mTLVwwQt1mw07UW+1qOphxQ h+fu+9v4itcMWHLPfUzgHdYhbNzBogXzwo5+fKEVz7PQsY9uHbjfhpDfGl+w fxICFv/rZsDKbfuVar8xYPMKT/rFH3g+O12ddg1j357bR5rGCCYtHosifX7r HOkH+1TSqYp7pDLydaSHF5RsJ2z+fW0HobfoUw9Cfo1eX8If21h1hE1H0hV3 o32LnR54opOpSzf6oANil/UD0PaYVWvC0JMtNR7RqKac351EtG3v8oGr6HzV 5GdF6PofYtdrULechOAOdDPF1MjsF9avcWa6BF3rWlS+eoQBOSvpejKj2I8d jQUSv7HfLzurCo8xQN9uKHP+OAMm0jlNkROY51/XeXmmGRBEmVoXMoPPY2yc xmcZcOqXFMeDnwkft3VpfpjHBJXKO9IbFjEhVMFPsEyECfWn9UeUJZjg8s9w i5oME0b9TErUFZhwoocqqaXChOX29GAdLSbk1DHb1xswgQocigEw4V3RhutG HCbsVjSfQ7FgwuRlC3ewZcKZxVbP6U5MWHnMRonlxoTCMdvTHC8msDztfmzw Y8KHdgcL8yAmUHwCSTNmEkkXxOWT+svWk7bm9ZNmvpa3JDww7EgaqJ9sRRgS 8daGMG3zai/C2lUHIwjt6CnOm9Bet2qKBbrabZPqVtTZtWX5DnRXFz3fA/Vy vcv2Q/d3regIRldI83REo89tu9svEHHE17Sno9/LJFLKUdded8cmtE2kSOoH OhgyeFb3MBNmexQFj6Aim13DatDPRdc5bcFMyFvWKTIUwoSwEJl2njAmmHc6 Zi4NZ0Ksgv5ip6NMaPAUO5QeyYQld4c7fpxkguXvOpZuDBM6fY44z4lnwr4+ zcOvE5gw49KdkHIB8/rxQo7nZSZIb9nwfP1VJmTXT3fy3WQCz+RfUluFf6RZ lrOks8E8nwm3ZPKSzv7lI71jM5fUskSGdFxSlzRgVPYL4Vj9vC7C0a0qA4S/ Ojf9Jmw3uGXJjz5P5Mkm/CURbjwPlb48Xb8ADVI8+nAp2nRv7p0VxLwGId/X oMse/VTRQg2Y7j4m6LWQGpY1yl+kKuuBen4/Ox6C/twdGP+NiOPrdiXbNCZM OzOrqlBx0ymdh+lMUNfIv30vgwkbJHdL52UywY1H+uytW0xQjr3TIp/FhOHl ejJXc5hwP7PabfldJoRrW2edL8DPM0fPCZRgvC8Kgg6V4fiEL859lUxwdxLh 2D1lQuoa2rqXL5iguLI4vbYB+3XZ2hUNzUwwEU4919jOhBfzROa9+8oEa96o 8ObvmIfJid/vfzHBY8R778cJnPf75y/ts3ievm6x65zLgrntNQ1fFrHgXJMx q1uMBSvq8x/2rmBB5jMFrX55FmhUXrw9sJYFSyyKSYc63pDW+wyR5swI3SE8 E6tIapbrQjqv/hJpgFBzNmEXRziPcHWeSzWhu1jBR3I+0eYHP9AgkcmLg2hu XtSJMWL8RtGDM2jCinAhQWUW0Af6rwujI2W2elLo1nEtPSW0TFNYbz0q4zO4 nonOCeUbd0T7Ti8vPoDWXVI/GIPG5Ff3N6FmL+ydZVVYMP/TUJMH2qZveTVY FddNvOsRq8aCI0NLNK+vY4HVBt+pQnUWvK5+tmNaiwUWsOIpYz3u+6Gv4hkD FpjrPY/BlEHHoScZN4AF+0sqH+1jsoBnvKzVyBTj1r0/Os8c9xtQtKjFkgX3 7t1VTLNhweYbhaQ/YotJo4NLSVd7PCR9ZFNJOq5aTbpu7itSu2P8SoTH/lFI 1344qUz4uqBRlZxX6w6D8E3hUQfC9/fHKenop/K9qzNQRY9R4Vx0v0jIv3vo 995NyZWoe/kqjRpi3LnRmjeo3M1vdZ3orsKOxkH09pO3TdNobQKrYOkWrJdr aawKKqqt4sVA/VUULGLRt6tltN6jmtISEnK22A+5Ago6W7EOlDFNzjasX2M3 1cGOBak7mzb52OM83o57SpxYQA3qOjbrzIKzxz1TTd1Y8CVu+P653SyYsrco 2+HFgqX/5ZSr7GOB6vD8RxN+LGA/9Kh6FsAC5xPPniYcxr6xWv3cOYwF/Ze5 OnRzrVVTIDUJ5Jr3mOtZm/9ID/RyNUtTIZV30eQ+f+xF+m9VOvd5z5cawgt3 VtYSxmw59YXw6OzIH8IVuUs/uKDFDjqlO9Fj1x5neKKW3eaJfmisr7JyCBHP X8GqSHTeqZ5tceiC98fsUtBF/62yz0KXHKiwL0WFd6vKNqIi9le6+lBRc6Fb s+jWr7kaG8JZcCXYqiwB7RQZY7SjRYlzZX4eYcFJcclx3qMscEpe+1rsGJ7b 5Ua3FY+zwMZxs5rvCRYcSt1VWHqKBZc7g/V4Y1lQIXe2fMNZXKfr2luJ81jv m3e/fU1mwQPXR//yr7Bg8erXYuHXWOD69ZPyxjQWlKQNgeQt3NcQ1z79n6RH jnNd1sA1X3KY9HMuVxHGL9I/En9IO77/JW3V1KMRtgT5kRZQShmEZ/hnWYTS j544EeYcPnGA0OKpyrbl6M+FbwyliPlXuSrJo291RsWV0XDRvXnaqMpwF9sE fV/v0Mkm5ou41bUFpWv/7nEl4uiBfl/0y5/Wx9Hoq/kHLl5H761Y6FuKWu+Z Q59zmwXD9yaWmqNxvD97klDvI4O9t+9gP8wM9D3MYoFSyPdvDdl4f05+6/+S g324pLBPOR/P1X8hPQeKWLDdmPm1vATPp/WiLwJlmPcxRt/bCszzxeDBa1Us UDcqGPV+hn3e0Tdp8JIFzyJkeQTrsf9W285tamSBng/XzhKuJ3m2kqqbcX2f yHWN4jbSQ2VcE0K2k+YZu5E+e5FC2m7dQvqkSnw+4W0N2wWEmVGv5QjTP27Q JzyrKrK8GQ0L/zBJ+LnGua8DZSzta+pBnVIXef9EDyrq8E2iZwocLs95g+fz ePAVYbRuy+UUWdR7TVmqKhq5rmUXE72yfkTNCS2iLB4/gPIK6sVWoJavnRUE 37IgJTn64WY0Jjjqkts7FhzefizwUBML9sAR21PN2P+rQ7VTWlhg0KD5trsV z93hPl+1Djynq1OXHPqMcTZY51V+ZYGQjHRVTB8LtPf2vLMbwDo8yOv97ycL TggGTY6MYH/a0hY+Hsf+SxNaGTuF98MQ1xv6C0gFjnPdU8+1btlC0vM5XB1p i0gVRZaSjnyWJO3+Z03aIh1LyjF9K0f44MAyBUKlNbWGhMkfwq0IfzUe14lD zV5GL4tHUweXCySjwyLZI1fRDpuPp2+jr5Lmry5ES9/rP3yIZp0TqnxJjN/Y /vg9Gi+Q97QHPaPWkDyDnrId2is+jfsNWwxqqFL7MH8gWmv47uVjdN+l4jih v7j/cxFnZGZYwDy98bTGPxbcPSYRzZhlgVTIl6itPGz4Z37B6xofG77IbrT8 NpcNz4ZntTWF2Ph9cE8yeBEbXqkflOeIsOFHiraqmDgbFguN6n6RZINGYCE1 T5oNVt1+G0JWseGAlaaNqQIbzK9wVejhOrNOi7QliGveE67OW7VJhb9znc4z IO07QCWV+O8wKaulkFTmyagt4Viujh3h7u6KfeS8UpwoQmOjtN0b0JuOsxwz 9IJFjK41eoq2bLUDOj/reJkbGi06bOWDCoY49R9C1yQMfI9EmXeCfySgbo/n D10n4lm1/kEpev6oa2QjqtoVZ/kNFUm/OKL5H8ax62ZSCPpRMUf/Geq9skv6 wxrMp4Qk74AiG+IXW/TMKLFBbm7kS2FlNkSeoQbZq+H+RKfX3NRgg9mlkubv 2mzIXekfqa3HhlL3rvM8Rmx4esc6o57ChvqhJ8WX6Wz4oK393IPNhq9BaS06 ZmwYqljax2vBBs15YqQHrLmWpHCd7OVqrClOWvWMK8dBgvSIojTp/d9ypN8m HEmXzySR8it+7Cf8uVn2B+GK3y/mzCHeT/ZbTsj7R+QvYdnWwk986CJ7Rt0C 1MWx6cFSVIWnxUoGHU9/378GfbKh9agGmt23PZKCJkV1nTAn4ljtccoBzfHc 4eiPtt61VTuNCo6bz95AHR78eziA5obmB+lasoEHXHWPoGYLj69N2Ix1+ZAm k2HFhk/p1SKl1mxQ8usRqLVhg8fDkM9Lt7EhQ0D0oZMD5s3ydlLGdqzDZYrv kAsbfAykQh66s+HBh7Go6D1sEAh6c9bWG/t4We4VeV82pJZEZ/48wIZ+W/eC 8kA2NF/jWtXPNVd7F+nFMK6RL7g6Oe4m1fnJNa3Ym1Q01J90t3EOadnfHlL+ CMV7hBZ8niWEGgoTdYRLWSe/En6PlX1WgT5pKc6sJD4fNz7/nHiu+fRoAyqZ zVn+AZX5ry7/C7r62mbTAZRhK2w2ibotaNwoGMSG41Xxm8RROCgnpYbOrCnq ZaJlrcwiJ3SRnqFjJup8Xp1vGC38pZBtcJgNgU1lZ82DsY/ubz7kHIL5v9zr 6B+K90NoKC0qDPtu7NBkfQTmdZ9fgUQkGxp693o6n2RDqPNuudunsX9fB2gE xLFBFqKo9AQ27M8/b7HkAhser0rf3n4Jz9G5Iu87qRgn79OQQzfYkLCR65Mk riOdXOWVq0mtD3ItnPeMVDSVa+OeWtJ4nTekvMoLQgn9V7JIvxZHhxNuMa+L IKxU9U0mVFoklkdo/ib4bCDqm/TFP4hYb7OPSwTaLDS5KRpdFdrRcw71HqwK u4Le35EpnoG+reKRLEIHFRylqlDB6GLp12h4zLnBXvR3nE/lP3RvwoZ4iZvY /0FJHBf0x44vs3dQVZZa6Sh6a+JC7tx0XDeHJ215BhuuOntdVM3E87i0KZZ6 C/t5WMQlOgvPd72l1ptc7NfsWH6pAjbYRNe2uN7D9XwOd6mXsiHLWnHo70OM W6958uUjrJfMcYHkp3ge52iKuL9gw7a+T9KatZhHzU5SixCuZs+4spd8JqXb czUc5Kp19AvpZ9M+0jjhQVKHjjUyhIpZLqSrs26uJFyZ1S1HOHEnSJ/w7Z2F loSWt5s0tNC6zBRRbXQwUonHCF3idm+QjrJirKLM0eCiIemtaH5bzD1ndGuJ T4kPOnPWsjQETdurWXYKfX/0zskb6IKLcrYPUGreJfk3aPoG5QapOrzve8oO u6P7Izb+l4ceW35zSVU93j+FE5PvGvD7baNld+9rNjzszmiYbGTD3+8VZ+hN bKD8ajaLeY/305/BeU0fsV9nBF5If8J78Oy65v4vbDgkv+1rSQ8b3tw78ut4 P+aXc3t28yAbTrQ2LpL9hd+jeydXDPzGOpVwVeKZIjU347r/PNfET1w/+k+T ygn+Je1/wytNmJ8iSBoaTSM1PRhCSs2qlCVc/5lXjrB9+oYe4dFldAvCCZXj Gj+IdaBadBAtG7DkGUP5k9sG/6Jzjt6NmjvGhlmv4zLC6MyWbcXL0dXjSfcV UbPkpge6qJ/+0nIGmtyjcMYRrUxY73QA7aGaqsagoYtzvzShYh0iybLj2N/Z h8z3oBEtxfSQP2yw5R3Tj5tgg7KqjvqNSezHbQf+uzfFhnWBhkN/Z/C+TOa9 z+LlwOn7NUfi+Dn4uyfe9L0gB9b8u2ObvoAD5xWqXf2WcIB346f9lKUc2O83 EbpgGQc6kkVPf5DigFmlanKGLAfs56mR7rHmGpjC9UQv1ySNdaRF1Vwb7dRJ p+R0SVcPGJI+fX6Q1PVmHunl9b8uEb55pZ1CyJNUX0io7uzxkvzM8szORN8q 7429ha499Sv4Lnq0L3DPfbQiSZWnCp1kfEl+heqOJKk3oXt9b2l2odeHSrWH 0RbvV7r/0G3F2fwSKznQOnPmnRrqwN53k4VeGdCwiUfbz47ytaIy60vuya/i wI36/Rm6chxQ2LX2gqk8B27/7TrhuJoDKudTAvcp4PpfVKn3FTlgoV4xl0eF A52hmxpM13HA71VH0jlNDmwMNEzboYv5VkjOVzHA/bwZrZgw5kBb2ObaZ8CB YuXcDwlMDpx9P7/X2RTXkxMiLdrLtbqYa/Ms174NC0iFPnFV9V9IGm0kStrN L0l6uMuKdPHjGNLPHg3fCAuXiAwQ9qRm87qgkqpsSUKpMsspQmlT+/ad6I/e 7peeaHmU730/dN64smUIaru7pzeSiLPlWngculmxKCIFnQ18fiwLzatpjSxF vT+V2jSia38ny38j4p4f+GsWDXWn39ywgQMijxbZJKKZy1v5OtDdu4KGf5ph ngqWdcwx50Dv35KX4ps4kGG6tUTJAusqJh/uZ4X56BxklW3hwJbsB4v47Djw 9VBU80ZHfG/OeJekMwc8Y3cP97hyIEfy/Uzhbg78TOMsiPDigJZ6qeSmfRwI KFNaI+WPfcu/ljTZguudi1zLurjWqiqTDj7mKmyrQuohq0n6qG89qcozX9IL N7O475kOKhHy/FRXIRT1eUUjVBhwtyNsfe9juAKNrT4kLU285yUopIBeF774 RwXNstsSr4veuy6sSEUrv9VVmqK3KO2Pt6Lx5weeuKNB36eq/dGDCgWJp1Hf HR6uN1HvizKaZejtxotf+A5gfuaJJWxCV9Li6clo3wFd1ayDHMjPbBOvCMA+ aT06+/oQB+gLlfq7ArEOEf4FKiEciPldfvhgOI7bI0ivOIr9124lNDeKA3Nz NJa9i+aAXsgShetn8D4wG9LwOcuBS8vrTQzPc+DVt2wzwYscmL5/elvTFezT OTGkUuZc117gqv+Zq6nyGVKPSq5R1rGkD1Ykkv7ovkg6+Pgt6VDKQjvCKR1L B8K59eecCEMrVA4Q/sp9dorwtOjLvc3o6sC6TS2oiJmd0Sd0VrpbqRflmbjy +Cc6552N3STKl7dgeE4KnkszqRFh9F6f0m9ZNDZSb1wVXbtytJqJPnuQl+iE 7tzi5XoQ9ex8IlqJ+nuteCqYyoHgsQMHrNBXksPu7ldx38beWwOv4Tjnb5zT 13Ffx9wNUm/guTd+OtGTzoGCcbnSdbc5kJsfERiYjX3o1bn+cR4HTmowWbGF HHAfv23jUIL1KV/kqljGgVXH/H1/V3DgH+d9eFUV3leLjGPjnnHgfxd+350= "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd24EraGEY4Om7d6w1xhhrjDXWyEiSJEmSJEmSJEmSJEmSZCRZSZIkSZIk SZIkSZIkSZIkSZIkSZIkSZIkSdrnzqnnL/h9p3POd97vf9b/r/LW/+PPnz// 33/587+vvwQQSBDBhBBKGOFEEEkU0cQQSxzxJJBIEsmkkEoa6WSQSRbZ5JBL HvkUUEgRxZRQShnlVFBJFdXUUEsd9TTQSBPNtNBKG+100EkX3fTQSx/9DDDI EMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDK GedccMkV19xwyx33PPDIE8+88Mob73zwyRff/PDLHwvhLwEEEkQwIYQSRjgR RBJFNDHEEkc8CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWUUkY5FVRSRTU1 1FJHPQ000kQzLfxb5G2000EnXXTTQy999DPAIEMMM8IoY4wzwSRTTDPDLHPM s8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWecc8ElV1xzwy133PPAI088 88Irb7zzwSdffPPDL/9u/r8EEEgQwYQQShjhRBBJFNHEEEsc8SSQSBLJpJBK GulkkEkW2eSQSx75FFBIEcWUUEoZ5VRQSRXV1FBLHfU00EgTzbTQShvtdNBJ F9300Esf/QwwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDL HvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/zwy5//oD8B BBJEMCGEEkY4EUQSRTQxxBJHPAkkkkQyKaSSRjoZZJJFNjnkkkc+BRRSRDEl lFJGORVUUkU1NdRSRz0NNNJEMy200kY7HXTSRTc99NJHPwMMMsQwI4wyxjgT TDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU3 3HLHPQ888sQzL7zyxjsffPLFNz/88u/B/5cAAgkimBBCCSOcCCKJIpoYYokj ngQSSSKZFFJJI50MMskimxxyySOfAgopopgSSimjnAoqqaKaGmqpo54GGmmi mRZaaaOdDjrpopseeumjnwEGGWKYEUYZY5wJJplimhlmmWOeBRZZYpkVVllj nQ022WKbHXbZY58DDjnimBNOOeOcCy654pobbrnjngceeeKZF155450PPvni mx9++fN/6k8AgQQRTAihhBFOBJFEEU0MscQRTwKJJJFMCqmkkU4GmWSRTQ65 5JFPAYUUUUwJpZRRTgWVVFFNDbXUUU8DjTTRTAuttNFOB5100U0PvfTRzwCD DDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8BhxxxzAmn nHHOBZdccc0Nt9xxzwOPPPHMC6+88c4Hn3zxzQ+//Hvp/0sAgQQRTAihhBFO BJFEEU0MscQRTwKJJJFMCqmkkU4GmWSRTQ655JFPAYUUUUwJpZRRTgWVVFFN DbXUUU8DjTTRTAuttNFOB5100U0PvfTRzwCDDDHMCKOMMc4Ek0wxzQyzzDHP AossscwKq6yxzgabbLHNDrvssc8BhxxxzAmnnHHOBZdccc0Nt9xxzwOPPPHM C6+88c4Hn3zxzQ+//Pm/9CeAQIIIJoRQwggngkiiiCaGWOKIJ4FEkkgmhVTS SCeDTLLIJodc8singEKKKKaEUsoop4JKqqimhlrqqKeBRppopoVW2ming066 6KaHXvroZ4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh132 2OeAQ4445oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeDT7745odf/n3w/yWA QIIIJoRQwggngkiiiCaGWOKIJ4FEkkgmhVTSSCeDTLLIJodc8singEKKKKaE Usoop4JKqqimhlrqqKeBRppopoVW2ming0666KaHXvroZ4BBhhhmhFHGGGeC SaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ4445oRTzjjngkuuuOaG W+6454FHnnjmhVfeeOeDT7745odf/vxH/QkgkCCCCSGUMMKJIJIoookhljji SSCRJJJJIZU00skgkyyyySGXPPIpoJAiiimhlDLKqaCSKqqpoZY66mmgkSaa aaGVNtrpoJMuuumhlz76GWCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW 2WCTLbbZYZc99jngkCOOOeGUM8654JIrrrnhljvueeCRJ5554ZU33vngky++ +eGXf5t9fwkgkCCCCSGUMMKJIJIoookhljjiSSCRJJJJIZU00skgkyyyySGX PPIpoJAiiimhlDLKqaCSKqqpoZY66mmgkSaaaaGVNtrpoJMuuumhlz76GWCQ IYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGU M8654JIrrrnhljvueeCRJ5554ZU33vngky+++eGXP/9JfwIIJIhgQggljHAi iCSKaGKIJY54EkgkiWRSSCWNdDLIJItscsglj3wKKKSIYkoopYxyKqikimpq qKWOehpopIlmWmiljXY66KSLbnropY9+BhhkiGFGGGWMcSaYZIppZphljnkW WGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57HnjkiWde eOWNdz745Itvfvjl30b/XwIIJIhgQggljHAiiCSKaGKIJY54EkgkiWRSSCWN dDLIJItscsglj3wKKKSIYkoopYxyKqikimpqqKWOehpopIlmWmiljXY66KSL bnropY9+BhhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWP fQ445IhjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz745Itvfvjlz3/WnwAC CSKYEEIJI5wIIokimhhiiSOeBBJJIpkUUkkjnQwyySKbHHLJI58CCimimBJK KaOcCiqpopoaaqmjngYaaaKZFlppo50OOumimx566aOfAQYZYpgRRhljnAkm mWKaGWaZY54FFllimRVWWWOdDTbZYpsddtljnwMOOeKYE04545wLLrnimhtu ueOeBx554pkXXnnjnQ8++eKbH37595PvLwEEEkQwIYQSRjgRRBJFNDHEEkc8 CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWUUkY5FVRSRTU11FJHPQ000kQz LbTSRjsddNJFNz300kc/AwwyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6 G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3 P/zy57/oTwCBBBFMCKGEEU4EkUQRTQyxxBFPAokkkUwKqaSRTgaZZJFNDrnk kU8BhRRRTAmllFFOBZVUUU0NtdRRTwONNNFMC6200U4HnXTRTQ+99NHPAIMM McwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaec cc4Fl1xxzQ233HHPA4888cwLr7zxzgeffPHND7///v+H6U8AgQQRTAihhBFO BJFEEU0MscQRTwKJJJFMCqmkkU4GmWSRTQ655JFPAYUUUUwJpZRRTgWVVFFN DbXUUU8DjTTRTAuttNFOB5100U0PvfTRzwCDDDHMCKOMMc4Ek0wxzQyzzDHP AossscwKq6yxzgabbLHNDrvssc8BhxxxzAmnnHHOBZdccc0Nt9xxzwOPPPHM C6+88c4Hn3zxzQ+//Pm/9SeAQIIIJoRQwggngkiiiCaGWOKIJ4FEkkgmhVTS SCeDTLLIJodc8singEKKKKaEUsoop4JKqqimhlrqqKeBRppopoVW2ming066 6KaHXvroZ4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh132 2OeAQ4445oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeDT7745odf/g33/CWA QIIIJoRQwggngkiiiCaGWOKIJ4FEkkgmhVTSSCeDTLLIJodc8singEKKKKaE Usoop4JKqqimhlrqqKeBRppopoVW2ming0666KaHXvroZ4BBhhhmhFHGGGeC SaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ4445oRTzjjngkuuuOaG W+6454FHnnjmhVfeeOeDT7745odf/vxX/QkgkCCCCSGUMMKJIJIoookhljji SSCRJJJJIZU00skgkyyyySGXPPIpoJAiiimhlDLKqaCSKqqpoZY66mmgkSaa aaGVNtrpoJMuuumhlz76GWCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW 2WCTLbbZYZc99jngkCOOOeGUM8654JIrrrnhljvueeCRJ5554ZU33vngky++ +eGXf4N9fwkgkCCCCSGUMMKJIJIoookhljjiSSCRJJJJIZU00skgkyyyySGX PPIpoJAiiimhlDLKqaCSKqqpoZY66mmgkSaaaaGVNtrpoJMuuumhlz76GWCQ IYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGU M8654JIrrrnhljvueeCRJ5554ZU33vngky+++eGXP/9NfwIIJIhgQggljHAi iCSKaGKIJY54EkgkiWRSSCWNdDLIJItscsglj3wKKKSIYkoopYxyKqikimpq qKWOehpopIlmWmiljXY66KSLbnropY9+BhhkiGFGGGWMcSaYZIppZphljnkW WGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57HnjkiWde eOWNdz745Itvfvjl31DvXwIIJIhgQggljHAiiCSKaGKIJY54EkgkiWRSSCWN dDLIJItscsglj3wKKKSIYkoopYxyKqikimpqqKWOehpopIlmWmiljXY66KSL bnropY9+BhhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWP fQ445IhjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz745Itvfvjlz/+jPwEE EkQwIYQSRjgRRBJFNDHEEkc8CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWU UkY5FVRSRTU11FJHPQ000kQzLbTSRjsddNJFNz300kc/AwwyxDAjjDLGOBNM MsU0M8wyxzwLLLLEMiusssY6G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfc csc9DzzyxDMvvPLGOx988sU3P/zyb6D/LwEEEkQwIYQSRjgRRBJFNDHEEkc8 CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWUUkY5FVRSRTU11FJHPQ000kQz LbTSRjsddNJFNz300kc/AwwyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6 G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3 P/zy57/rTwCBBBFMCKGEEU4EkUQRTQyxxBFPAokkkUwKqaSRTgaZZJFNDrnk kU8BhRRRTAmllFFOBZVUUU0NtdRRTwONNNFMC6200U4HnXTRTQ+99NHPAIMM McwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaec cc4Fl1xxzQ233HHPA4888cwLr7zxzgeffPHND7/8O8zzlwACCSKYEEIJI5wI IokimhhiiSOeBBJJIpkUUkkjnQwyySKbHHLJI58CCimimBJKKaOcCiqpopoa aqmjngYaaaKZFlppo50OOumimx566aOfAQYZYpgRRhljnAkmmWKaGWaZY54F FllimRVWWWOdDTbZYpsddtljnwMOOeKYE04545wLLrnimhtuueOeBx554pkX XnnjnQ8++eKbH3758//qTwCBBBFMCKGEEU4EkUQRTQyxxBFPAokkkUwKqaSR TgaZZJFNDrnkkU8BhRRRTAmllFFOBZVUUU0NtdRRTwONNNFMC6200U4HnXTR TQ+99NHPAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yx zwGHHHHMCaeccc4Fl1xxzQ233HHPA4888cwLr7zxzgeffPHND7/8O8j3lwAC CSKYEEIJI5wIIokimhhiiSOeBBJJIpkUUkkjnQwyySKbHHLJI58CCimimBJK KaOcCiqpopoaaqmjngYaaaKZFlppo50OOumimx566aOfAQYZYpgRRhljnAkm mWKaGWaZY54FFllimRVWWWOdDTbZYpsddtljnwMOOeKYE04545wLLrnimhtu ueOeBx554pkXXnnjnQ8++eKbH3758z/0J4BAgggmhFDCCCeCSKKIJoZY4ogn gUSSSCaFVNJIJ4NMssgmh1zyyKeAQooopoRSyiingkqqqKaGWuqop4FGmmim hVbaaKeDTrropode+uhngEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhn g0222GaHXfbY54BDjjjmhFPOOOeCS6645oZb7rjngUeeeOaFV95454NPvvjm h1/+HeL9SwCBBBFMCKGEEU4EkUQRTQyxxBFPAokkkUwKqaSRTgaZZJFNDrnk kU8BhRRRTAmllFFOBZVUUU0NtdRRTwONNNFMC6200U4HnXTRTQ+99NHPAIMM McwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaec cc4Fl1xxzQ233HHPA4888cwL/z/GW5H+ "], CompressedData[" 1:eJw02nc81u37P3ArZNyERPbee8/rsDfXsEVGpCIyosiKrEIaJAlRlCKrUkYp UjJTlEpRRGQlFL5Hn8fv1189H6/jOM7zfV7r/e6+RXxDyP7UVFRUPwSp/t+f ecL//9vNrDWGf6ZOuJ/fdlGSwED+set/+XyFktFFTcK+qXaL/9lbaubxBXMC QTMu7382bdKr/UkkhAfxMFCjt2irzejOOxNij47psPzLd4Z2bN0PJ6h57not 9s8x/F3uYwmEpyxbLyz+mShlK/IxlbCpO80ZjU7oE3McH8oiZGZ8/PWEdp6w t5oLOq6VE3Q0u7hEmTD/uW4zcPkuITR2N3US5zwh1Ip8kkn/PiHQROppn9A8 oS1fp7KxoYWwzjjweENxnrC64TExkvKEoFZFk05vM0/IqW61zJHuJJx8rj2p FjxPcGUl2A9WviSckzKV9LgwT6hnUHkQQ99HKPOMbHdqnycEBY2+D5IdINzM su2m+j1PiD4zHLZq9JpwzH23r77yAmFLsjNU0f4NwU2dHJWetUCITCS+doUR As9V5aceqwsEuy9XTtsLjhL+W7hB3h+8SOhapx7lnP5IsOO8E7p/dpGg3l7J dWtgjOArrZIjEL1EWO4SSHsi/YXw+923WCLrMiHwh47aUtQ4gW4hd/hl1TIh l//YwmDbBGFBMtDJr/wXoe/Du7vVud8IOh/cNa/WrhC8qabHLdynCJGDP4lc r38Tnusx0cbyThNcD/1YCt6+RjjvNa7hNjBDEAvt4wslrxPosr+XCqXOEjp9 tGvX7vwh1EuqviXo/iT05kZl0gttEAqsGweko/CcTj79UFO6SbD0czahpSwQ wr74MfAKUEGoTQg9q+oiQW/zWMDCIhUEi1xjK9m5RDjlv8dAYJAavnd5HmLf WiK0P+Ckm2ymAR/6pTuFP5cJ8V3XlG/U0cLQaJdCxNQvQhjDOY1TcXSQwxnP 71a/QiBMvcptI24DXvNb8hWnfhOOtgu/zpWlh6qnTVyje1cJu8vy2gxYGMB7 /K1nIKwRvvy4x0+/wgD5z3XsmqTXCWf9Ph1Vn2KEYqWPvLq8fwjqM/cSgie3 Q9+fxpRC7r+EnWkTm6s/mUD4g842E4ENQjUnQ6wiDQt8clrxy1XYJByXuCV6 QJAVsv2+vJ6z2CKsKWi0MJj9BzU0tJe8NKkgVkntSjKBDRjfnb0wUUsFAi/Y Jp4Is8OYTY+qmho1ZOT+N1pazg4V7SLz++9RA90ZH+cExR1QPDRBXUKgAc/+ VI/jD3dAwvER142XNKCRfddZUosDiusHlqUsaCFtYO/zvw0c4NLrUJ74jBZ+ +GyVcmhzgtC1P6pCFnTgfn3Y50QzJ1z9+2RpZzcdkL8ksFDMuYDddKE1xnEb 3GRN4vnUxgVrQgIalT3b4PG23+IyhjuhLXUxJ8+GHiT+JNMateyEGu3wNOeX 9PC4SGxM04gbGPVGlVbsGMA+TcqEr5MbvPVpl08NMsB/7Se398AuyFH/479g ywj5y3uoZx/tAnZjxfmu54zwdZj7fLIeD4xdvDzDb7EdLjapHCx5xAMh/pSl lc7tcK8jK4gIvCAsmTe2z4YJFvtPvXF9wAvwgm6b+lMmKIYb7mfUd8PYrN15 ZQIzVNNVbv6+uxtgV2DGvkfMMM4PK6UqfBB/nJXznR4L3OOev5ZfxwdbDntS LzezQNf2j5fGtfjBm744tM6IFVSY7xZktfBDjUJGuvxzVih+EF5QZiEAbIM7 WnaQ/oOJkaOtyoMCkKDfKH949D/Y26PrZ+gjCDnHS6XsDrJB8/oezpEFQWDr sdBoWmeDUNm0XJYUIQCFqrQxc3b487c+KIxVGIhnfrxpPMsOrv5vmO+5CUPo Bard3z5g/vrg9aVSYWCXW3v/n9QOWDPj/xE8Kwx3/06kRR7ZAQtOD4zkdEQg VODnlFDzDggxvCWuckoEckQ/UDiZOOD0IedsvV7M79/7zELhgLCTS+HBvKIw f2lJQPEKB5zwaY1/uU8UaqjznsZMcUDeIQh3vysKwpsqlevqnHDO86C7zroo 5HxY//TiBCcUMP5IkjcVA6LD4MnqTk7wbU7Ypp0tBr0Wz+qrOLjgdWo9k/d7 MUiQYKjp8OIChWnSEI+4OMwzup4Nu8EFjUHZ7EPB4lBdOU0vusAFA8l8Hvn3 xaHXuLBhWG8nECyfewfQSQBxPdO9IHUnJO7PjN+wlQCAbYySfTvhJ3eLVvpF CSh2TAu6zssN4x3hT1g+S4DymmOH4D5uOEXo8suUlwQyy7f9udXckCo4mUYX KQkLBGFn6lVu+JydweXfIglUds/aXYx2gW+Y4XQ1oxRAdGN+fuYu8Hk2vTJJ kYKE5zOvOt7sAsa4TkPzQikoTs+Z4hPiASX2C3wJX6WA2s7mtm0gD3xvlpLO V5KGBM3CJo9aHoj+6sJw9rg0tC1fbLbZ4AHB2wPcb59gXhGZlG7GC17St3bO MctAiWGfZX4WL0S6uXsPO8kAVZlx6PFhXrgvbuqeXywDbacW96mK7YYJvYHI 51MyAKy9q+6HdoPQY8nRVhVZaMvaNWldvxv2Ph6qS4hB13G60W3uhnMZR2VY O2SB+utUUrolH+h23zCX+U8O2hIcHxfl8MGBK5OTtC7okwfPho3wwWmuz3RX i9EKirP0Yvxw7Fdiwd9pOYB1gWHPYH4wmBgKpleTh8+x7N4+DfzAvRjc2hEj DyKPlcP4Nvlh5vwHT8IzeUjMEPx0Bj8Xr4668YexKYBQQXd801kBoMpiFT/k ogBt0ynNt0cEQH2Rw46zWAGK21iliKKCcMT7uVHQdwWAquzAa4cEYdalvCZK TRHa7uZoVDYIgq9mj4FPjCJQLWwcPLMhCFWda2JL7YrgvdBIs9tcCJrvRcwq sipB4vWracRsIUh0UZbmdlEC6gaRbNURIRjRmd+3UKQEOeVPg5LZhSHl2nzD 4UklmKfVLW5TF4Yt6WNPLXiUgUr71CV7/NwlXYq5IWugDAlzkpxKccIgxxZS usMH/UHkCSd+DusqS1vNU5Sh7QVrnnmHMHy/qVb5olIZigMr9Z9PC8N+zgam oh5l8Oay977EJgLnd+weiVtUBsjXYI5WEwFvVwnuW9wqkGDDKV3qIgJrz+O8 xfRUoK1NyJknVgQ2vwi6Tu1VAaCe0XxfLALCQpr72k9izjVjUv9UBJa/GrpP 3kCfHjZ4MyUCtHJnehy7VYDqXPoDI1ZR+Clb7syyoAIlexfsfquIAtE6m+oL lyq+P4p4XzqJgpDJL51NbVUQTjwe9fWYKFyMGDzj44luX1k0LxKFST3dNJYk VaA6GcI7/0QUXEhzkh/KVcFbr+J3yzdROH5kRHixSxUSUzLUBpjE4HXQiVWb OZz/nIYoqyQGcWouKjMcagCPmvo7KWLgf/Ud5z1NNRDO7v4vN0oM8gaWCc/c 0Y7VeUWXxeB0XIgyd7waUFeemZxtFQP7xDXvm9fUoJhROiZhQgxmVVp6jnSq QcIfoT3mjOIgY7px7tgMzr9fcNFWXhyu0EWIP2FTB+/520XniOJQc+zuso26 OiSQv3znixSHR9yOSmyu6rD11vDOh3xxqN/g+cEeqw5jK5dWPjwSh7a9Vvmk YnWgajyjLPBZHMxG50r6n6pDmwTjy8vbJOAcZ+bXnCl0DO1tNxkJyGUwmz/N ogEJpf0ujnYSkEo5JtOhrAHgyqt2+ogE0ORqrOk7aUDbswc3qPF7al7tXOxq tAbEPzk8+vCBBFw5piz+sxD7I35p3v0gARP7V0gijzXg6rYY3i/UkjCiciQw +6sG+OyznbSXlIS3ARleFts1Yaxco3ibtSQ4Vhn80FbQBO8aucVfwZKwfSTo 8D6SJrSJO+gK50pCVXqO8YtITTCyfPEmuVESWN4OjMRd0oTPfhug/U4SHook 5xxq1gRq5pWXYpuS8CtirCXnsyaAlWyfhagUxEVWN89t04KEz9tulJlLQT/z gEixjBZsXaWbdTwoBZOzkpBmpwWE0bA5vSwpuCtSGHTjCNZbRWy51UrBaaWS PxsX0N7skdVvpKBtbYRS9QBdtvZoz7oUlGRncuR80IK2jcQggqA0dGmWp1ZS a0Nb9ItBF2NpCD+fRbsmga7sNLkeIA13Vx9HlllpA4SerCVmSEO+wypTcrA2 EBopZkp3pKFv5QBb/lltoOK+amk8IA0T3q29Yw2Yb+Rsz1iRhmMOSyfSR7Qh PgDaVHbLAM/5nt3+G+iPFwJYDGXgzAjnz3ARHQCeeLPdvjLg7jhn0mimAwm6 Jdc9TsmAuhiXw54DOkC47P+M6qYMeO2+JKp+RgdaHx29/faVDLzP3UZneFcH trhTysYWcF6Wic7xIR2g8v0xz8ctC5lB11sE1jCPo5xv0ZEF5b/6Swv8utBm 2j151lMWNv0zeX+DLrRSqBQvJspCkOqRCAV/XUgI1bn5slwWNnK25fSkYf2z jNlDXbKgUTxud7UK85hfg3qzslD65tHs1T7Mue2v6O2Qg0tW+dV9y7rwmHkr /ZCGHAw+9Y0J4dGDNqqSU9vd5ECJkW5KX18PEjxGxd/EysGyfJqqjrceGG3/ WNKPvwOt12zy9yXrQeKlvXp/n8rBaaOditQVekAlmcGUPyUHXJl0h1++xPqN nGQfFnmg/VCZ2/4T623EJlyV5cFxx+c33zn1IcEkYl+cozycfNFsm6ylD1Q6 jXw80fIQESGSYOOhD1v3Zc9+vCwP8tPmlYR4fYAzMhv9rfKwl6WGyueaPsRV nMpfHJeHF5YsQWsdWP+93zaDQQF0pbruNk/jPBAatZNTgDTdnwx3/jOA+Ijc WAMHBTj5t6vshaoBUGk+3ecWrgBvj6Xs9nE2AMLZVNmfFxVAa94/R/S4AWz9 ZVioblKAMXlfXbYiA2gbd/px+aMClO+ssZV6gv1TP4l1NIrA3Kcz9vAr5ryq ehaSitDty1F6fLshxJ8nO26zVoRvH/Wf+ikYQkJOUM9ssCIcmfodHUVCW9OO UuUqgtD1c3pMkYaQ+PDGn9wGRbj2LMe3I98Qz089wX5EEab8dgtWPTIEqo0f l9Q2FCFn9lzRwzGsnwg/ZiyiBHZZcaW2dAQwkvUaGzBVAgLBzZJeGp16/3tm oBL4L+S0TNkQoC1q29Pg05h/7FRbDkHvFy+KrlGCQUmN9JPn0EkaexheK4FL v8oz3XsEAHEH6pbfSjB3Oplr93u0kqRnD6syjCRIlolsYb2g8rt+IWVQEL5c 5bIDIOFsw6F8FWUwu80urCoG0MbmezHMRBkCddiMhfHrD86/C/F2UgZ5Wmtp UQsAwvNZVt/9yvB1vE9nyhWgVXx9WOqYMri27jzz+CDmX9a/UmUqwwmdFc07 sdjf9cZqtlAZxm4G2N7JAthSLeSdvaMMBj01heHFuH7IgERtmzJ8PpX5zqYW 68e6hTIGlMEwTHi31lP8uexv5oucUAb61jshGm8AEgU2FMJXlCGdLYpufRL7 BdYStBhVwJ7uuEb/GgBVl3fof7tV4JiyJvdDZiNo+9XEtiqnAuQKw6Z7AkZA LV4btmygAvfYzAtilDAf3MV530EFaOcmO0lGRkBVYE6d5aMC+zSonHUpmBuI Eo+Gq0Cje5yLhj/mx2s4jqSowAxvQfrqUSNIoNVlUM9TAd5I0+ZXaZinxm0w VqpAUWELXUOBEWxd72CYb8L1nfaE3alCu8Vof8ff9W0RweuhLejI+eRbH1WA wTJU16wP10tOTI+fV4FbFzlM5b4YAWH/uIs/jSokv+OUEVvG/Ol3ak/83f9q Z/ZHnt4YWrO9LwVIqkLFdHq3JY8x7l9COQnvA5YS3tw5KmsMbSlKw9XWqrDr lUp9oz46NuXazz2q+D6rn2N0MAYCPaHMKEQVeiLSQ4N90KdO/ShPVAW+mFmb iXCcP5yfxX9eFaruKp0LPmUMW8+fFpZfVwWeiLuu2y/hep6HZIweqMKRA9Uv 82/h/KXCrZ6XeJ8hANd0W4wBTnOcCfmoClojkYtzfZgfGJwXW1CFl/svTJ8Y R5/eL11HqwZTCWd3CK3g+jqjWo7canD51lb0AKMJtI7wBzDIqMGgSuqaN58J bLnUPbugpwZini1h1IomQHhxjkXTXg3S9KhW6sAEIOmO45S3Gryo86Y2ppgA 1aKb/tFwNfgv+mHfZ3/M/zi+2XlKDd76MUSei0abGBl25quBe99nVpFME6AW Y6hzvKUGBoe1tNquYP/9CzeWmtUgWKuI+kiNCX6f5GuW9akBY95J2c0nJpAQ /FdPZVwNvpdk3S0cQqvbZvf+UgMtr9/XbaewnirXOp5RHUQlfHxH1nG9G1rj zHzqwCrYZB3Fagpwbim/UkEdOP0/hUgKm0Iim16KK6iD/kettlpVU6AKyK6b IKvDxRQvVqIZ5v2qvYn+6nAvcThg0wXtx7KgFK0OTgEh9hkHTSHhvPu9hxnq 8KmtlVbqhCm0EXX0Xa+og03+2oXX2TjPlT5/W4063CGy7/IuxfU5M1ZznqhD UUCv1t96dOrYd/khdXgTzcVQ2YnO/3JyZFIdVsdHxNTfobc9S9i3rg6XPqnU 9f7A9ZbqP2/hfZO9/s32mC1TMK5garklpAE2Wdpx9BxmQH3U201TVQPWf2rG l4ibQZvdT/l+Uw3Y/uXra1stM0h4l+sQ66IBUnOWSm+tzMAoyzeT/qAGrGl8 LTuyxwyo2BJeF8dqgIp9jQl/iBkAxd7IJlsDMvZ+IVxPxH6RM0JDJRpwUPmP PJxHn2T/fLheA7zrb/BMXzeD+AMdl3k6NeDSnXP3wx+YwZazu2DpiAaUGy4I sXabQWsNnYfeDw1gmJbc0/gR97tgtH9iUwPyVitKCAu43nGanOAdmlC4fTNl mNYc2hrjrenFNYGXZMmdyG0OBN7nt+5oakKZhyItk4w5JNyIi9Wy0oS6ZZ79 pXpog4B7vR6a8H7blL21vTkk5ogeiTqsCYTxxYkB73/1mTNbCZrQ1LHx4mC4 OVCx+lbmndMEceMKVo5T5gDvP7cYXtcE6a8Z9gX5uL5F1UTHfbxvXJN/oHIL +52/SHm91ISGSz/dhpvNgfq0RyHdR03gAKKFdx/m2TIhp+c1YffGrPbvL5hP C+iK0WpBnuGs7pVf5kATc4e9a6cW5DYHvBFntIAErl25RGkt+F5DIT3cbQGJ tbsmv+lqAdPFK/e8FTCndIqexvtExpCHNFMEC6ByITtyemuBUqLm9jgyujVf ozJMC1joWt+I+ltAvJfTiF2KFhhOMQxWRqF/pDx6nacFoWLm+wkZWL9qJH/w phZ8NlosGi+0gK0n07r/NWuBzb1Ru4PVWL+q1n++Vwu6mDaPbD1GFyb0y3zR goKKfO5rr7H+3Tu7V8uYn8s9JjOJJt7IpzBoQ1VepVLLGta75MpN8WqDzYkZ Ex8WS6AKIvFkyuN9pInbnklBS6D2oOHdQdCGheSD12NUMK/NhHKSNoi/XZMX NLWErTPEYot92vBjTP3vNWfMyfqur45qw7EsjVGtA5jXOnL7pGvD35KytyMx mFdWzdAUakPvrb9ee7MsIZFVeE/aHW0QYX39ZrEY89CbtXyPtaGY6ZrV+TpL iB9kp2oe1AavOO8M3g6cF0iSNf6mDRePTV+uGraEhHMSfEOr2hDCkpFmN2MJ SfvpxyOZdeDCi9mTAxs4n0h+vi6gAxL968r+7FZAVaPvdEZZB5R1ui9tE7OC xMblSwomOlDtzUDK0ECHHNerddKBnfaOl/kt0YzqAaaBOnDfqSTpkbsVbNUz yk4c14EjpyZXIBhtt5YWiPfFu4SUxwbirSBBUpeyflUHhN8aWIblWgG1Z1D+ pVodiNyqPb5Shrnt9waBZzoQ236VLu0e9pOcRarf6kCUR+FPyRe4Pw32abtp vA/v8vl8cxTXD9Du7P+rA9e1LrDq/8R5l0OHfNl0gSq8/MQ7amugYhwUoxbV hQOBQ0peXOjwlsfJ6rrwqGJya07SGuKvOUfstNCFimLR36d10HMR1nVuuqDt 8fwguy06T/6mZpAuJLkSxoq90KE3aDrjdOHS9evehkesISEr3nffWV2YPv/q 4uOT1rD1kCVl8poufPeRryNdtIZExenkqEZd8G982DJXgblFRChXly7ce7v/ /pGHOO/bsHPee134KCB1groHfS5rS3JOF1Kbu3cWjVlDUnJDdDuVHsTMrQ0K L1kD9eEZMXNOPThGTjWu2WaDn/eJo0MSeuB5TuygLY8NJHxJjj+irQdXDnTN 9shi/iBxfslaDwSSMxm8DNDbRX4meerB7fHl1jUHG0hkZ0sXDNWDW8e2McX6 Ys7S3lacpAf89937mCJxXuu+IKULeuDav4fveirmxwMvvbihBzuiHstLF6B3 Psy3bdKD1x/+FjdWodOqF99164GwgVMCqRWdebI+8hNaaNltsB/nqbnF/l7Q A1VWvxM+E2jlmZQUOn2YZ+9c/LOC9XNGH4V26cOQfMKFE9ttIeFHdEiJjD44 e+8/wMxvC9R3pmWU9PXhgV3i0XJFW6C6fmh3l70+1LQqjEsaYf2h95HWPvrw teF5YD3FFuLZAr68DdeHKjktNvsAzMVuBx05pQ/5hnfNe6PRXornFvP1Qc5H N35PJs7/vr0u/pY+kErz235dwbytepinRR/UTt5qP1qD63GzvLzUpw9OwzY1 tO1oyt6rkuP68DdaJKtwCNdbnPJp/aUPNvyFngJT2N8zKwyMBtDhFLdVuY71 Op9vdu82AN8Icowxqx1QWwwy+ysYgGz7+q52ITug4jHL/0owgKOHDEMdVO0g QWhl+AjZAP5+yMicNMWc+fnIdn8DWOcTX9nvYgeJdwLVM6IMIINrYtvyAazn n5fnzjAAni2+J5mxdrB1l6P3dqEBpKf7/2HOxn6p4lWFagOweNvYnldiB/Gb 7DcfPDaA3FNmokr1aOLsHPG1AdSWrctWd2B/ishU3zcDoHP4UaU7gv2jaZQ9 awZALalR3T+D5k7QX2I2hODTzGmkTVw/go0+XNAQNuXLn46y2wM1Vbj8prIh mBvRBIWL2eP+PjSdNzGE33KVO5c00MWRTlzOhuC9c5o1ztIeEkcGtK4GGkKJ 7y0PLg/MOzaCNGIMQX1h6M25YHugsiON1J8xBP7y1kzBBPTCjWhCsSHsuaKR WJ+L/UJfnIZqDWFqKKNHrRzzxIvnHZ8ZAiv1DqOWezgvbnjh41tD+JoY+4ny wh62hr2jI6YNgd66bGtgFP2GP2PpryHsH3mg7PkT+4/oXT/BRoBTnm7HFqkd ICHT/i2HKAHUg1eCjnA5AHVz3aOz6gTwTEn1/COJDruUz2dBgP3CZ0k5Og4Q n3wossaNAH1DJrxstg5Apc2rpBREgNMN2i/yvRwgsabq5f04Arzc9uGgwhGc fyHIye4sAS7kGDNUncT+b5vjL68RQK4j7pjGRewXFTV2aiTAtNpUZ1cFrpe1 euz7cwKMXrykY/kQfYTh4358btNl/hPc/wrnjVzcnJ8lQMIH20P+Yw7Qdmsg zJgK4Kz2WO34InrtS3bidnxMMxZ2aqQhQsJwN3UHB0CnSLccFQuaI+4VGz8A k2uvLmEnEahsPw3ZSwDoJgbmnxTEXOO1zDlFfGxULrV4JYWO1ekZ1QKYS5Ex ZlHB+haNJ3xGAKSb3ElEXcxXrq7utQb4++AAU4EJ5uymRyspALxZTfPDtmgT YeepPQDVj705BZzRWvtC5AMA/lMhRwbsJQK138uOyBCAw4U1FuWBmMu9zK2P xttQpnC770fQHjbZq4kABtYp6aoxRPz9+d1mlInzz6lbHkkm4uvheSzhPED8 coRKwxmsZ4hxe3oF4Iy/tOXmRSIkHprxZ70B8K4xaEm/GPPnf5hsa3B9jjNt CZVoRp7e7AcAjzp8artqcb5ed+PwE4Cj6cetGR/h9T19ZrmrG+Bb6ts/Ns+w vld/wX0IYG+BRdf5HswN7tRf+wiwZnfMfvDtv3lDal/wObROLGKC+zPuL4Lh scQCXv+tjTN7p9HZdd6H1/H1SUmkKlrC+hB4VUVrBJlJITGf/+K8zSTCPIsR OPIkU8vSk/B5491DbW4jmEzN8wlkIwF1ExN3lJAR1NX0P77Fg/nXhuAmaXwO 3P1NfFmEBPF7FTppVI3A+HZnmKoc5ncM2Yz0jOC/qzfuR6qTICH5lm2yqRFs NCivNRtgPfW9k912RlDexq/x1xzzs18fMLkYwU6PNW8CER108IOdtxHsqwuM T3UjQeK344sXDhjBiPylyme+mLtR7XodZgT3Dnc8ZAxC18wL74o1gtvaGfeJ kehn4Vx7U4ygKVC7PysO98OYLnUlywjuiG9/0Z+KVtLiGcszAulvZ8p5z2J9 T/60VIkRuHH8qHIpQPeH/PC/aQTb82+dLriG9YWSTyvqjGDHgJPFlyp064vI +Ud4XrMlBsKNWM9fEqDYYQQlvdfp/FrRRY0SR3qNIPT916Kbz7F+B8u9+8NG UF3ikDzVj7nujryVz0Yg2PRZVe496d/nxUBnxgg063feDpvAelW16gR8zrZm HUysmcXzf1AY17JhBHy/CTxLK//2Y8NKzWAMN8g9YbpUZKDqkNpryW4MPEwc WtHb0UrSgqd4jYF/8FpDEwf6J+eF56LGMEw7N0/NT4aEbx2dbPLG0FE+X0aQ wDzw4lE7DWOgubfCnKSI+Rbrm2xDYyiW8JPu0sK8auP7GwtjuPCN0k1vRIYt zZdpXCR8Tv7EyW9ljfl7zn5nd2M4fW+TN4eC/XOXO674GcO+69vvvNqDNj/n 9D7IGO5ffPaNLQBdMHdK4KgxBDOndjiH4Lz+AK998cbgEjdhfT6aDPHb2j6U pBnDqYDpoDeJmBfHrI6fNQZd42+KApm4nqNFrexlY1i62XzN/TwZEs/KiAaW GUOQunV14RWc35ooefO2MXRHDVDGr6NPLD6ZbzQGzzeuD4RrsP9ErphimzFY TTbc8X2A/Q/7doR2GUPsCRnNyie43h/Ts40DeL5DGae/vcT9pPR8WXpvDLsW Vw9JD2G+qvpQ4yuez0bVm8MfcX70lkDsHO43kVuwavKfr3o/+G0M3jRvJ2fn cT3BQ2J/qExgj7CIpvo6zmP6esCIyQScGpoOH6GlwJZc+5U4ThP4ZbldrI6F AlTOKjZt/CaQxKrjtLYT/elGJL2kCXz4ohSvKUSBeNaFAhMlE5BWthOMlqZA wjZjtRRtE/g81KjeokIBaurtxi+NTMDutA7xjy4FEitmXBlt0K773+mboj97 j1o5msB/E3uHkuywf7a7N9vTBHg/n/3S6oxWCxruDjABNVd6V2pvdJyexX+h JrBj+I2WxQHsp1wQcjxmApbPpzSTw3B/FSK7zyaZQBfvZN6zGMwnz0QMZJrA Lveve5hT0N9lVXkumMCIx6adZRbO03op6FRkAvV9rQXpeWhnVv+LN0zgqpeW WW8x7r9Fm3G0Bs/jaqw0y03MN3dM8jSZQIuRto9dHc5r9eZ1bzeBWL6whdxH uL68X+nVbhOY8Wbp7H2GnroSPjpkAmdS/86w96Jd1HIFPpnAnxpTX+dh7I9w pfabMgH3WVfZc59x/mHeZ1cXTKCov07v9TQ6VK5vbN0Ejn0m5fMuY39ik4Qk nSnstqamOG9g/kB01JfVFAr51oh59I74PDE+eI3bFIwoyudH2RxhS1yI/buQ KfzyKjfi5XWE+DHXBxIypvCAGCnvLop+RlMUoGoKLo1nna/KOUKihdbjW3qm YN0yv/JeHedVBHhOmZrCcMGrHn5DzCMVlWTsTWEogWvMxwLn5xTrHHYxhRyH pPAiItZrTz+/6W0KeWwl2p/c0Ffo0mYOmEJbrYuKuJ8jnvfaMeVwU2D+/eue dxC6LO5vUKwphKumHSyJxPpV/srbKabgKjNv/S0O7T+UtJhlCq3EiaeiaejX D1cV802hT1jI3+8s9k9znAspMYVUsxMKFQXoW4OO9TdN4br+ZMHENdzvuG7L fJ0peP1ak5a4jfmrY+YqzabwddeZkQON6MjE+cgOU9iRdE73eiv6a7Zdba8p cK/UNX57jlb/0b44jNcj/9hBbgCdEe+s9cUUnpLiyva/R5MdboTPmMKlmqH/ KibwPDYXmOuXTWFK4kLOj1lHoJ60TF3dMIXnHPIj0r/RP/6+VGcwA1qBHyoH qJwgMXyXUCS7GfxyLSq8vd0Jvy/DTj7gNQPuu6oj3znQHxQe/RI1A9/kM8Ky /E5ALbG4oSFvBvdVwiMOSzhBgshZm+MaZuCdJ1B+UxFNExzdaGgGYay676e1 sL6EunLFwgzeO6TxKBnhvCbeMV2SGfQqBxkcskaz61BHuZtBaFuM7y2KE8Qb 9Qrf8zODWZmw9J97cN7Lq0Z/gsxAcORuqVwA1reKu2gdNYP06xONh0IwP/bD PyreDI4YPu6sjsbr0agLfZhmBgMdEUMziZhXNRz/fdYM2kPmh+UysZ/8Olrr shmwRH8bDDmPueXT4JgyMzA6Lv/m1hXMW3yD7t02A0daga6Z62g+OvffjWZQ /cv/jlINOs1ZR6/NDB6f8y4/9MAJttZq5aO6zOAo+VfqrSf/zo+e6d6AGRQ/ f+Xy8yXmh34Prr83g5qtSyZyQ7hereIjza9m8Hz2785DH9HJnulH58wge+5y 351JrPcXN2z6bQZjNvZ3p+dx3oI13wqVOTQ0FYfLrqOPHx3WYDKHwkPqvIdp nYHqG0Qf4zSHgqTluUoWZ9jijbNu4DcHk8qDJd93OkOC/7vfyxLm8GVZTVVB yBnid31P0lYyBxsano1AaaznoFhHaJuDwMnXVytUcF4OzVSdkTkMJNDw/9BF eyR7/bY2h85L/KNSpmg+BT41R3PIajYI2W+HHrOrDPM0h5XV9Tc3nXE+fzBz Y4A5lF0KP/1tL+Zrsc0LIeYg/0uBXfIA+oiJvsoxc7gk+9DvQJgzJJZBRkSS OaxnV/5XHuMM1PU9KjWZ5tBqIHxyIhn91LPk53lcP7zqiVQWXs+r/e9Vi8yB Zkbczy8P+83Sog/fMIewyajnpcVY/3Br+HaNOXAMKy5/rcT1OIy35h+YQzc/ MUOkDp3NmSvfbg5uNZVj3o/w+s9cGT/UbQ6jho9Xrz3DfMZu5c6QOQwuFyd/ 6kHPfY2b/mgOXoKi3YLDaPNrj2WmzCGztqPP5zP602xb0II5SCcnk69M4/o/ DxEq1vE8pFwzR5cwd08Nn6S1gLDZ1lihDcwVSvfKslpA3YewZXd6F6A2EHjt z20Ba4wPBQvYXICq4P5amZAFBIlzbozyYH6hb2BS2gJO7ek5yCOKeZ2HgZiq BXTtqjzlIof+ct7RV88C6ON2kwvU0f0Du8tNLYCLarVhyMAFtt6lxozZWYAw c0Y7lwXmR04mC7lYwH5z01gXIrqaW9vX2wLc113f5Lr9y5myrxywgAN9j4f6 fdEDk+mjYRbw+M9cDFcQ2mZdVijWAvxyvbodItEuxGj3FAs46dndnBWH+402 8L+UZQFZ0uWk/lTM7zIsv8+zgK1dx/NZzuJ+Ql9o7SqxgEdZ1LE2Bej377md b1pA9N+yjTPXXICmNvZcfp0FDKYt6XZV4TyrtleDjyxAh7OOnbERbcd1laMD 6x9aJVi3Yr9E/XanXgs4oqhQn/Ic3XJON2fYAqj4rWOf9uP6yQ6bPZ8toGYv 7Tv69//OV8Blx4wFGNSdozOeQAvejbNdtgDJj0qtCbNo8op65oYF8J/UYm5f wXlmgrGv6C1BnjVDfnML/f14ASO7JWilPh3R3+4KW8mBJha8lmAbYMIVz+EK 1Ns4j6WLWoImb4h8E58rUN1yyHoqZwnioYHdq+JoLnpZWg1LONGc9ktXES3p aW9maAmvzQvojmqhfU+5J1hYQnVBYF494PxzfN9biJZwacmqesUK57cY/qVy t4RfPL4NKhSs147c0vOzhLIcJb3QPWh9zsTjQZawmrrNuNYfPaZx8lGkJXw0 UiDMHkYnJZ34HWcJGttY7stF47y9eosaaZZ4/gu3gxNxvbro8aizlkDPZlVa kYFW/PO6tsAS3Gl9/5s8h/1lv/UXrlmCB3PGkvQVV6ApSxRQu20JzAmCn/yu Y/7Fgv5woyV8uJZmWFqN7i3yqWq1BJUmDs6J+2jrCypzz/F6u5Z/CT5BH63e ITNgCZGKXZaeL9GDx7z3v7eEF+ZvWa6+Rl/cFKqcsIRsMYHJkQ+4n46k3+Oz lhDUdFyBZxLzfZ90RH9bgkS2+me3efSu3d/9qKxAZuBX7fk1rO8Tul+03QqC 3/79MUDjhs8HinOjHFZgR8rM4WJBS1ieEeS3AvL0kJvDTrT1B4qbhBX87S5M PSPoBltz9SfyFK2gYFyQr1fKDWj6XrKMaFkBVwvz6HYVrJff/pLTyAruv67b sNBF338xRbK2AjoKJTHdBPs7GQPPUaxAQmRB56kt5ht/BXr2WMEX/7MONM6Y O7QqsQRYweLF4HaTvej7JlftQqxAe6gnPC7QDai1qe3Soq2AaTnxxKMj6M8f yR2JVqD7qPnzxnGc59Ndy5BpBe/N5tK1k9E/vFyNz1vBpMzz1KNn0HWHyAlX rGD7mfjRexfRmh9LH1+3grdN52MXr+K83R7wt9oKjj+oPaxciblRvaLuAytg 42CuP1KLpukPiXliBbkcHLZVD9GOZtsaX1qBoFa66vRT9LOtyaXXVtAYeTVQ rgd9fpxX46MVrBrfXfV/izYIvBEyiedNKR28NobXV1oWd3veCuZ3XF2f+I6m ji6ZW7OCsbihJKEl9DNJKRlaayBS+5I9/2J/Hv1SAIs1fEo8fLBomztQX1uk r9hpDRpu7dPD/7kDldaz5C+C1pBU+OMONw/6mpWZsLQ1dD/Ycd9FBOsFXKx9 VKwhiOuacq4s5mmH2i7rWoPqvazvvWrusMXVFDliYg0RV9bG2Q0w38EdtNvO GgpvfXW0MUeHZbxzdLaGdZsHNOkO6PLnybl7rWHrv7y5Llf0ruKgwUBreBsw 5ELni/PWDg2yhlmD15vsdaND6Mz8MJsYa2jM+PY2KQL3c3DB5nSyNexJztFp PoHepXir44w1OLmQ+9dPoU8eINDlWQPVkFWxXg7OP3uIyawYc8rR9chLmPcq +cZXWsO+HM/UulLMGfNnHtVag/J2PsvlW2jXwIqNh9aQYTtYoNiA9X7Nq1rP rGGn9jx/UAvmF3yjInus4dGfjN6qTtyfD49k41trOBw7tnuy71/OFjI/Zg3V STa54u/Qu5nGFaat4djqF03/cZxX+fTk4SVruB00evzqD/STfc8q/lpD7+5r k6O/sJ7mieK3bTYwc9smTmALfefCY0k2tMz2hy6MHkB1afOPN48NhOwnC1zY gT7+1b1IxAbOjOhcH8L3ItX01qePsjbwLKDpPZs4ul6Zk1fdBj5OZKrZKaAf Xt/vbGAD7Rda7pzR9IAtHa5PF81tQOIxx4dOggdQuwow9zvYwI6qk7LbrLD+ po7Tf242sB4slG9G/jd/V6u9rw1I5bu2xnuga5gm0g7ZgNpoAk3zPrTYV7GO CBuoVSjz3QhGZ5ET6ONs4JfycJJWFM5/ZVoEqTagIfb6YUQC5oVrgydybODO u5L/GtJxP795xFou2YBXzqjUz1z0QW7d1VIbuHWwxVm+EOs77/lrVNnAqLRD YVA5Or/kRmSDDX5/X7lz/Q7a5N696hYbaC2OHhy/h+u5u4786LSBpwzfmMUf Yy4l+Z9CP54fs+UurxeYf6fs2v/OBoqDRVUvD/6bv65YNm4DgQPRnu9Hcf2e +84TP2zAJZ3Rd+c3zCt43ARXbMD0FE04+Sf2n/wa4LGF5xsYeDZ3Fa3flHiZ 0RZK+5Wzu6n3ABW3y4mhHbbQHutxcTszetU9kYPPFrKYp25Yce2BrcOe2WRx W/w9Wy86KYD5mGXyaQVbcGsILmyTRBtfjuvStIWVy4YlVMponu/x2wH7n1Wc 1dXBfn3lwyZWtiApF5USZYy53oRXAtkWZpLKT9yzQR+6SGnzsIXEqKP7FxzR OZZ66/ts4UJCA0nRC+0QLqp12Bb89u8xOLx/D1B/KmOKirKFTZ9LwhWhmKt2 ztQk2IIilyP112O43sXwrtl0W/i+N3lM/CTaU6Nc4Zwt6AgaN3udxvqU0fj9 hbawtJ57/vIFNKeEY1m5LTiuBO1/X4RWyRObuGMLUjpVBjsrcL2f7b8F7tsC +cYlZvJdzGfvPHF/bAu9+2QGzjahD39IKXhhC/S/aEpftmN9fAXl9aAtVPne CmB8hbZy3Lnjgy0Mr3OJWL7Behm/buI3W+g6dmY68RNarP9cxk9b0GL/U94y hfsdsbDtXLWFmzr2jpsL2P/U/Dc9jR380DyyS/sP1ov43QdmO9CgaeiKoPME 6mcN+09w2cE9a8agela04kP6ZgE7cIj7JT3H7Ynvv/LHK5J2QF2jPiArjLnl 2n41ZTsY7qwNPCjjCVvDSn/CdOzAQ5QiVKaKOfRXVxnbgdtiTOuYHvZzcNl9 t7GDVk8ea2EzrCeEvJZ2soOu5ax1N3vPf/99KcnXyw6uDHWdveiC9exmu67u t4PtB2rZ33hjfepi7sdQO+g02/6Q7SB6jaTHc9wOiuL8rWzDsV5tsMPxpB0o Pb3zKDMWfXxS8/xpOyiV+eX9LAXny+qOvLpgBz+VUr9RZ2OeuOLBdNUO/F9b 2xvlY66b2WZVYQdcQfE/jpdg3tW75+RdO/hGY3Pg3k1cb+vFm9YmO7g8efbZ Sh16YUppq90Onjzt9FRuxvog1Q7tV3ZgsOtrf1AH5jeStSLf2MHSyW7Rql7M qaxS6j/ZgZMaU8PXYVxv5MrOuSk7kO5LFhb9gvklcpzsoh2IuQsE+MygF161 HfhjB200UYsFyzjPwdjmGp09OLAGOr3dwP7ysFufWO3h+3BvNjeDF1DRtX8R 3GUPj3NNuYns6GWn/a7C9nCHrib0NC+6fVvreRl7uL3w8+pLUS+gXlebGVS1 h86Ci8Lb5NE2fw+w6ttDr3p+mJGG179/L3xgZWYPvDN9FxMMMf8b/i7N3h5o ne7uaLLAPPYY5YmLPXTVO3msENG2QQWb3vYQXZofoeGOflpRY3DQHoyC730/ 7OcFWyzzYlHh9jDwk0HuVhB6/JxvXaw9gJqfznQkmjAXvJhiD9Yn+yvE4rHf J+29XLY9VNBNfN6bhuZd2hGYbw/NGmFfi85i/acUjhsl9sB+WsVhuADtFXF8 7KY9XFNkSeAqw/r/qir46+2BuHM4mnIbPZtY5NFsDyfVf4+ebkRnDlJd6LCH Mpfb27pa8fpiZiT7e+1BfrlniaEL8yB+DvYRe8hcJJONBtA8bw5bfbEHeq25 sBPv0d/enk6ZsYdX98OdH02gOcOCny7bw1pfcPWvWdzP7vKnGxv28HuF9rnK b8zDr7/TYXCAOzcYSkKp9gI109OaaHYHIN0/vly5fS9+n4XT1PI6AIWNc9s3 Dsz3xLDPiTqAbV3xoDg/5vzSo/Ly2M9TLuIlsRe2Hh+SDtBwgNrDe2QLFDE/ madYaugAp60uzA1rYX/e8s8xCwdIOiCrxWGEFurW3E1ygOMxdNr21mh+IQ1n dwfYXT6/cJqC/efVf5z3w/UvCWl07MGcplKhJ8gB9AZkFGkCMC9TFmc66gBN TO8/QAiuL8vebxnvAJ8e3OE7Ho3eJ8+alOYA9harLI2JWN/x+0/zWQdYpE+q Xc5Af6kv+lvgAKvbGWYUzuP8QylDGmUOkPK4+PWBK5j7lT86ctsB9AV5Qiuu Y07l5FTT6ABaeq7XPlejr46f+t7qAAMcxBSBB1jPFRAg0eUALJqd3HueYO6x +5ffgAN8IXeZXniJngkWufLeASopskL9r7G+13NteMIBnIJrrrN9xPybRNyu OQfQLI/qtZzEPMmonPjbAS5QWZUmz6NpBnXNqYgw7vFdqH1tL8SfMY/+SkcE IYunInHU3vh7abQ9aTsRpAtDGfjpvfH598Gs0H9EeB7qYfSQCR1gLdnKQQT+ faV9Lmzowy31HruIkNN+tfYXJzor/cIaHxF4btZPnufBeYnmXfnCRNDtOhCh IoC5nKyThgQRZtZqyL0iaEUj1UEZIrDUTCcdlkRbSPiEKRIhIIGZlVkOve3o 9H9qRKj5c3myQgntMdxepYX5/B8OS3VvoKb9OmujTwTF2aKCCW3MHR5ETAER DsidPZJkgA6Ltz5lRoTRIZV8EWPcD2dviIQ1Ed6buwi0mGOuJrX82J4I5jG3 5z1s0DaUjr0UInT8yeX444D++/3bpgsRfpYTLuQ5outfBF7eQ4RzcVT+Gm64 /mE/LR0fPM9gtaTXnpj3WlGG/Ymw/HIPzRFfdG7FQMRBIqhdje/5bz/asPwK RwgRZpXXvt0+hD7yuv5uOBH0fO7vsw5F732hYh9NBDdtV4WpCNzvmtnaTCwR TH01jFKP4Xrr75gzE4n4XB7zSCwO6+dcT0mdIsLj/ozEx0n/ztPc+lkGemdb jncq1h/ScN2XTYRHDaXbNzIxP0jqozqP5/lR52VBDlr+eU5RPhEK6D8P6VzA +hC5AoMrRCijuNq+ufTv9f3A9q6ECD9ehzJFFP3rf9sddZ0IDftT2DmvoQ1u 9nPfIsJ29uLk6hvoN1RmddVEsD1oTbCrQp/J2iTWEyHj0Uf4UYPWGd/8eZ8I tTcv1KY1oL3ehpxuJoJnRvcBySZ0xJKE7BMiDDB/CHjWgvvx6hDp6iCCWIva G5/2f/M8cvxfEuHLvr/pW51oI2YT2j4iMPDnJBV1/ztPP93S10RQp7n2U7cf vaPxuuEIEbyq+IqHh9B5u5xHPxCh5Br5fNQ7NMtOq5gvRIhy+bvJ+Qn9eKt2 1yQRuEyoq+6Oo+1/ejXMEIHX68Fl4hS+HvMhdo7zRBhc46eb/YF5886G+WUi dDMO3s5YQKve98xaI8LlRdVLMivo618sFDaJMFZI2Xq2jm4yv91FQ4LhG63l fls4b7WYvJ+BBAd/vDpNQ+cDVA9itOlZSDCzs2y+iBEdf/FyKTsJLmq0ndNn RWeVGsBOEtDmRR99vwN9UEboEy8J9r1gGo7iRu+nTogRJAGNxqeonXzoo52C vGIkOH7RxrleCE2g+3tPigQM0TkNRHG0cI67ozwJJkJ3kuek/9Uzriwok4C+ UUn+jAKa5VdPjgYJ8CcsXUYV3W0np6BLgh+ZOaKdmmjBc+0vDEkwyhu56q+H /mKTf8CEBNcETSg0gNbwW9xmSYI906TvV03RTwJTr9mSoKD4V5OhFfrcFxdj EgmO9p/ifG+H1m2p/uhEgtJTHtejyT54/59pFOtOgu97OsN3uWAu0cvKt5cE r3fJv6jzQEfH+93zI0Hq3WE3kve//UguOgaSgGwkLDa/D51m0bQURIKl3H1R pw+gM4dZc46Q4EX9Cq3sYbRnwCWFoySY0pHpeh6GTo3w7D5OAg59bT7/qH95 /53AeBJUJhaW0cSil1S16JNJcH93hX9JApqR/3dZGglI8SkNBinovZbmRmdI 0CjxWO99Ono26eXHsyQQKqxaPZaFLrNLPXGRBLvt95lzn0N7O73mvUyC/7qT u+ry0HuOOt+7SoJLYnuTyIXoNpX/nMtIUMG69GquGP2M222xggTdfX/sTpej r4oMZ98mgcafLhq5m+jCgUzFWhJ88zG07byD5yd36fWLRhJ4Kml07atDXz5H DHxIgtPhm8do7/vAVpgRFUMbCT5+OfT46qN/7wcai2tPSWDWc1DP4DHmavRt 0EWCwufWU++fYX6i+9CnV/j+Ki9ViH6BvhFdEzNAglNJhWU7e/+9fscked/i +UWn2tUPolVte+69J4E256Mc4jBa+g274xgJ/ErK6OZG0TMdJxcm8HxbsitP f8b1Oi5L5XwngczW3Wnpb5j7cwXKz+H1XLns0TGN+X2G4a5FEkBzwd99PzE3 X4wK/I3vP5kmPepl9M4DjXR/ScA31FBZtIpeDBErpSJDR+B7c4ONf+eV1Arb yMDaOHtyhNoXqFxn/4xuJ8PKqcW5o/TowU3/4/+R4RmrVtpOZrSA6iYPJxne +kH7XTb05/PaDbvIYDtDkXPgQp9qvErmJ8Pq3pa2WR603w71BWEyTPD0raUL oE+eCDojQQZVgW17pUTRfE/6ZGXJ4FJXOf9MEt3g6tOlSAaJi7elfOXQG/fy /NXIoKf2M31LCV3BtEajTYb7e5p2Fan7AnVwV0qJPhmOOLTZ6upg/lSuycCI DCf6hKreGmDeeIXnvRkZ6gzFNY8aYx6QV3LMmgzJg6oHOCzQjrSvdzqQ4bfU /WfVNuiYQqU6ChmKpLds7Ilo23f1JFcy/IwSODHtiF5y/jq7hwzFHP1vUt3Q 3UKGmT5k2Baxz03SC511q1UmgAxrVtlpT3zRZRpzzw6SwcAq5NPe/WgLeVO/ EDJMxtp7bR7C/R3e9oQ6ggykoozMglD045K5K9FkUNl95ZNWJNabdBvpnSCD x+le9zfHMFdefziSSIYbijtOhcVhvlr4LfIUGdLLbN6ynUS/mtfkzCRDBt9z +zupaPODt+9mk8Hu045o69NoIe43dufJwKIf3TGZ4wtbqnliM/lk+Ltgonvq AuYhPhfTr5DhOqXRR7QAPaTZLFFKhveHDt5uLUL/pmdsv06GqKwKAa9r/94P ZlE+t8hA7lQ0Wb+BNlIq3KgmgxCbwOm8KtzvT92Jgnpc3/7hqsZd9N13DjoP yHCL249/oAHrLSfDhprJEJ1d4BvShD5gcD/sCRluala+ZG1FczgI7+jE13/a f7ayHZ1wxOj2SzIwybxXtniOfkSfbN1HhhgG4sWv3b7//n/0qanX+H7Tlm5M 7Ee/bWFIGSGDJ/v4iuAbXH+zwEL0IxlKdTpdm99hzpxS0faFDD0b74+6fcLz sKPu2DNJBrZXm/Ur45jfNqddnyHDvplIzgtTmAs9886fJ0OT3GUllVnMH5Jj 1X+RYX5j/WDPAuZ73zT2r5FBmvD+WdAKrhfUyh66SQZjDp0xxj9YH35KloWW AprmWzzXt9DNR3wrGSigRA4PNaXzg62/P+9bsFBgjW8hbYzRD+8f3vaNs1Og TI++9QQrmsRJn7iTAgbtvzn4OdCh7G5Cuymwt/SyzH1uP3y+FQp5KEiBV5v0 nk58mKvUlriKUYB8Ku72khDmNzUXVqQo0P066Em2OOYPcradk8ec3nFJXgbd XKyhrEIBon80vFTA/UQMJvZoUMA0J4OyXxVzY/L5g7oUqOZ7nkinhe5+8JiB QIEDPyNeluphvdNRpusmFJht6xk1BHSeAZ+xJe63MpVx1BTrm0TMP9lS4ITi uP1xq3/Xk5V5gkQBZosoL257dGVOAa8zBVJtrqbWkXG/Il+fNLpTQMGn6AXJ BfPCFTqnvRSwvBM+POuBXtflWPCjQOIXjq0Mb/QrBu2sQAo+B7cYyvijfTuP ygdTYMnmifWzA+gR3aTnRyiQ0tNx2PcwWuxwuf9RCuTW/HeLKhz3u+PlGG0M Bc48pDQURmHelzB9NZ4CzWv9b3Ri0VRKzAbJFEgKe8k2nIB+a2jyPo0Cb1z2 8kSkoDVMbaLOUKDrpb/Wjgz005gDXLkUYIoWDq7Owuvhty+qvUgBlfDNcJtz /86rqMz+Mp5vSHrOVB7W53u0zVylAMMDmvZThf/2O7uQXkaBn6Vcz0VL0P1h KxKVFIhhYfuCd0xAdamYrf029n9T3eF1E+ff/mjgU0sBOpZyrvU7mN95ChuN FIhy05fPq0OfyHEpeEiBQT8dV437aNrKJO02PM974279j9C/Ok++fkqBlZH5 w4cfoxuY8o90USCYviSPpQNd9raVrYcC1OlX8ipeoFOtWm8NUCCuSO+mWS/a Q7Df8i0FsqUe9o4Poj8//PXtPQXsV7l64of/j4P7jqeCbeMAbmVGkpRCJZVC wyOr4pLREmUcxxkcJHtlz1AiJIkSkpVklESEZITK3jKSkZ0QsuK9vH9+P7/r vu/rHud0/PE86PqQP/4/8Hwlr3wX6EX3rTHs/akNDdRMuqJ+tKqHSMkY9ntb /R9hGK3xYC9pShv4J7k45sbRmaESf2e1oapC8kjEbzy/ucZLUX+1IUFW7sDR OTSdptqJVW3g/Z58vGYR69P/XKmn0wHfkDfqFv9MYI11v7X1JrQnvdomhmtA pzVxjZVdB+ICFjWSmNEugjbPuXTg+JE2M+BALwgEKG/TAa/QCMOeLWh7ba++ HTrAwnrqujsvmkfW30tABwarNnvt4L8G6/0Sj3ft04Goxb033gqie4tC3x3Q AYlTpi5XhLGedCZc+4gOHDTZcXfq4DWgr+JNmjmqA0cYIryDxdDDbI/u/acD pW/8bx46jvU9so+PyOqA28zB+5VS6DuMqZ9P64DW7hU/IzmsX9CKvqakA1c0 Qv3WzmDusf8xvZoOVOXtCIs7i7l7e9KzizrgvfnyTdlz6IrAh6c0dWC/aaBX 2yWst2MI79TWAZ/HjHccr2Bu9CLahagD29PeO2/RxXxnVyAPVQesij/YZ+qj b+3xf22E1ld3vWiA+9vSGXj5ug5c6tczHTZGz9Ccxyx1oFl7hXrLDOvL1Wzu 2OlA1uANo33WaNqYnYiTDtgcm7r8wR7Xyxsgl7rpgKGmugrJGXPp21ep3jrw VOSLyqI75ickrq746cCtExnHIn0wX7536vEdHeiZLNp/4hZaaPCoVIgOtAxL 72sIxHqDELHm+zrwl/Euu1UoepDCaxupA40JhFWWB1j/zW4TxxMdUP7XtfA8 CvtNFV5Pe6oDs7tSvyvFbOQ2wypJ+D585Ou/x6NDz7f1p+rA0Z0tlV7JOF8m d+3NDB0IsODM3JmGeVXNm93ZOnDnjeGTvEw0xTS+IFcHrj9gCtN+g/N/lY8g vNeBl3I5N37nocctXGY/6ICBWzU1tBDtWk27X64Dmgk+mkc+4niV7KsS1Zg/ iJWsqkBf1ZT6UqMD/En2u00+o+NsBK436sDtDhl2+jp0tBk7U5sO+FV/mYhr wv4ueE08+4brq5s2y7WjWY2bTn/XAUYhlZKOLlzvpVNx14AObDtxLd6xD8fv 3hnnMqIDy/DDn3sI86t9N7dN4vkVzFi9GsU884D5m2kdKKp4cPHir439XlC7 PK8DX3j6xUdm0Ht/Hhpf0gGTyp3bAhbQn7U4g9Z0wGXfiem9Kxvv9/fYfkZd mBlTb/ywjo4hfill0YWM2ZS3ZCZToEscyTDYrAvip0/e/8uKVv13Z5lbF9RX BW0iOdG//rv2eLsucBc/vizJg877qXxyly7syvpwqJ4PHf1AsElIF993BKPV bnRZ7qLNfl1g4r/cz7oX3ZvWxiGqCy7Mq+9TRNCm37NeiOuC9H/ZD5UOmwK9 zsAdlRO6YByZaNsnYYq/tzmNBk7qQuiNL6qekljfXizjI68L7DIagjtl0Kci uHYr6kLvPbP5vFPo18M/C5R1IT97T81V2NjPwSKd87rgqHYvYUoF/eHn/Rl1 XQjKGXEOvYA+73Xt/lVd8IGDF0U1cL3TyrJiBF24muwoWKmF+eZB9s8k7HeB edpYD+3+tsfUUBckV9rK18jYbwjHa/prunBwG1dkLA3zsUc34811QZdn2ETO FL2WqXHaBvvv0jrZZoG2Td7T6aALNxpvMd2wRd8TnXJy0QURv9dNWxxxvvMP C3k88Xz3RydmuGIuyRz86qYuaLUk2J73Qk+aEC7d1oWkznXZYV/0LMPesSBd sL8WzOIfgL68c+r2PV0oKH/QLBS8cR/OBfsidMFo7lJMcRi61f7mx0e4nwkr M+JDXO+4gDo5VhfIqtePzz/G/JwN7+IzXXj+wX4+Ig6d/b4zKkUXViP2lB1N 3Oh3LvnES114LcoSVPMcx5f+Z1mfpQu35ykXLdLRzrVi1jm6wDr9gnfTazR9 yjxLvi4E9AR/S3yL48363qcU4fv4Jf9EsQCt3eJ2tlQXPNckjbuL0XeJSt8/ 6YIQy/4DbmU4vjuR0fMLns+C4sD2KryfSMbSnfW6wJDa+PLNV/TSvsDcZl1o 315oqdGAfmB67mqHLuyeOX5gsgXn2y9M/7tbF/TuXJ0I7MT56Jqqgn/oAr2l eLpIL+aNzAGHfupCM9OCUXk/eueO05VjurDm8/ygwTDWW+vSGU3hfuIdBpfH N96Ld/G/WV2gBoVFR/82hbWqfvvYv9hvxTBZag5ziy//yazqws+vJXxNi9jP 2r9fLXQEoN6++MX2H+anm585bCLAzqfnQtgZrgPdRUMjTnYCfLQVVXnBjHZ6 yp/ORYDsuL1zKhzXsd++z+e2EeAE76fcH1vQjNvuDu4gwJb511bevGhOqqKv AAE6E3fw7+bH8SxbJgX3ESD9vmPnO0E03Wr6+wMEuGDkfU9bGF11zZBwhADT suayMwfR1TFsc0cJUNFJWQgVw/k276u+/x8Bngebvjx8HO19111clgC/j+dd rZbCerED+76eJsC+NBKXidzGeEqvqRIBrhz2/Lh+Bt3Se49BjQA39C6YPj2L /rUomXCRAHa/o/fKnUMf6/51SpMAVSo1DW2X0A22cZ3aBLhZxOPoeAUtxKTo QiTA2i8OiS26aL/wxa1UAny7fKUrQx/7mZd+/sqIAHF0PJ4XDDDXOKeqfp0A mn5F//00Rj+8/W/EkgDPqPx9fmboc6ppt+3wvLyp3nus0YOdqsJOBDhi80aq yP46rG8vW/3gRoDW+P3f9Zwx//HoOcmbAKtFP93n3dGUl7DoR4D63u/HHvig tWQWHt4hwKdeWofELewnS/Dp8RACZIg+ta8JxPlEM07W3yfAHb6LB8xC0cRf YxaRBLh7euIr4wN0/J8w5icEaPz6xigxCudT2Xwg5SkBdM3Et5+JwfleCXQq JhEgi8Dy/ls85lZUz55UArwLdbzsmowOEtjikUGA8SmPdZ40nE+xsHR7NgFW iJqJrzMxV5g3ysklwKT/vv8uv8FccPcfzfcEiHwnNDSah97zOnniAwEIAYTb AYXoMxrKQeUE6LJa2rb/I47PUW0+UE0A57jYipIKtOxNv7IaAnwOHTYif0ZL Su4xaCSAjw/778Va7NcnI2OlFde/f+1pZBPmBk/1H38jgK1Cu9yJdnSj6/x/ 3wmwEH7/U33Xxn0F3mwaIMDPn08dLPtw/SUJcZsRAlw0+W8zyxDmU+JVbJME EGq/GZkyijm58fKLaQJQ+skAvzA/orp0dp4AivrHvvXMoDv9H/QtEYCl6bCh xwL2w9XG571GgD9iOWx8K+jchdKdjHrg05GUkLOO9epaenksehApISZyhckM 6I7/16W1WQ8aXxjXTbCibZluTXHrQQ2jk3EQJ9rYb0fIdj0INA4bPMCD3jX/ WHSXHn7vp4aU8ZnB+q0Xip+E9GB2iH2PwW7MRdyaafv1oIc4/nRlD7r8zZW1 Q3rgbN6h8lgE6+/K/X0irgdc8bfa/zuMfqMVJH1CDzjTBbWbJNBZ55haT+qB klrjorXkxvxRL+3k0c/ygthkcD7/UdnNinqQJ7HK8OIUuiA456WyHnxPC3xx FtDf3xBUz+uB28HCk30qZkBfojXUr64H3SNlWV4XMJ98R755VQ+sT/y9slMD bRC0tougB56E8725WujI88H5JD0wMxrU0tLD8Z9hXcdQD14o98/9IqMVuhOm TfA8QuxvBtOwXr7ryD1zPejc/HH2kCn2+/HO0yM2ejCwO+xhhQW6Y/ZMlYMe 1JZdE6DZolvkqoxd9EAmzv7evxs4/lqKNJ2nHhyrnhZ/4ooWKG+LvakHl678 fnvSC+tfnKDI3tYDwrMnwi2+aLtTX9uC9CAkfb7UNgDrrU+aO9zTA5t759Q4 gtFri5OcEXpA8ijOSQtDi9YTMx7pwQPJeU2Vh2iV5/NqsXqQ0hPb8uMxGkrc Bp/h+Tn3nvGJw/mbaAO+KXqgG9fwjT8R99s44y3wEtenpZHfPUdHnlkvyNID p+DICu10rLcJuU7I0QPfy74Gv1/hfD589LPv9GCKu/Z7yFvMv7X5hhXpwap5 isrhAhwfwz0sVqoHqYMy3z8VY32n8s3qT3pQpfCcYlS2Mf7AP5Mv+D67dpau VaLFVw3p6/Vg5O1TYsxXtOy+xbhmPaAyu7ZJN6A97JzkOvQgfK1RurVl4z4k 2tq79aCa80S9XSd6QML6xg892FdGu7C5d+O9twxz/dSDma2haS/70awmqplj esDoV6egOoz9uqp2n5vC90omFfSPowPO6wzN6kGWmcH2m7+x/9o32X5/9aD9 tXH6rjkc/0hPVXBVD97lHxXOX0TfiCl+T0eE7dumvHT+4fjXH/n0NhHBI72Z e5reHOik1NJn2YjAs7RyJ5QZPTe85z4XEUxpUX2HOf5vV/FtRCDucLhRucUc 6JlM2T/vIIKbwJYRI17M2T19rgkQwexZzJn1negum1b6fUSwShRtiBHE+tR4 06cHiMDA9FdJRhid+7ND7ggRZCuPP2o9iHYJFOs4SgQNlYcH7cVwPN+9ohv/ EUG+M/fx5uOYTx0S3yJLhJrLpWMvpTDfFeedeRrXF9nlriqH9n+y+bwSEVRN c0b7z6DjMjyHVImwO/Ot7M2z5rCuzFfjd5EI7o/Zqnedw/wgt76gJhEq2wVP 5l/CvCO+6r02EXTadt3SuYL5wCZePSIRBpiBe1oH1/dtSJilEOH3QrJXqD7m Lq823zciQugP+8+HDTDfNawnfp0I5W/ddSqNMS98OFhtSYSH589+NDJDL3dc vmZHBMH0OdZ1K/S7+Uf0TkTQU1x7GGOP9k3Z99QN70fqwj9pZ5wvySpYzpsI vSbrKq3umH+/19TuR4SdzfX1dj7oKQbyjTtEcH5nJL35FjqVp5wrhAgiH/o9 XwaiievMmfeJcKEwnEk1FPenq3P/XCQRmrsDLPvDN/ZXNTcYTYTp+PEsnyjM /0TL+D3F9XIjTu6KQduNlAgkEYFRiinmXTx6ol34fSoRxizNu7WTN87/pQkh gwj30waMfr/AfkW/js28JkLF1vRPIZmY7+RWD8slwouqEcbDb9DXi4PF3hOB 0qJ/91MeOq1tS/UHIhw1ezpOK9zoN9repJwIJ5y6D62V4HrPVbPoqongtbwv 80nFxnn9dyKuhggBP0o4pD9jfulKuGwjEWLGu9RaatGKPV/bWolAI6t+tW3a mH/qssM3IhhnhIhytGN+Ii+D8zu+F4d2o7QutJX9UPoAzveKaUi5D+s3n7uu NkIEtteR8GMQ85965QMTRMjqeeXqPYo+Obh4c5oIklZ/F3f+wv3at7rvnifC 8nlRnbwZHB9zpzV/iQhtORZ3tRYwb5Vj013D9//xGdvUMuZrO+9OM+jDfkFV k+B1tDwMhLLog1SP36NDTBZAR/rNe2SzPtwLeb29ghUdWvWwklsfLHe02hhy or1sJoy268M7kx3PVrdawHrdfoF1fn0QTBETjObDfKD/SYyQPmypKXGU2o05 4+Jv6f364Bi+mNS0B23xXKj1kD5Q6f/tsRHB+s06sXbimI+zOrMdRnsM/uY4 oQ+DHcpJqRLolAiBlyf14XWfrNBZSbSCZLSKvD48dypx+C6N8/08NfFDQR98 /67EeZ7CXHJqu4+yPijUzOzYAejVsHD+8/pg9YXe8q2KBdBH7B/IU9eHmEPa D69cQFPG2bWv6oNz0wXOyctYfzH09pSuPgR+GqIGaWFOy2wNJumDP8elgAN6 6FdBK4cM9eHqrVNrpWSsrxdxqjDB9fpJl6k0zKu+lBua6wNlU+ON5WvY3728 kVVrfZAvSByPskCr/mcY7aAPvKYSspK2OH6XaqaUiz4klj0hN9xAp4o2NHno w+V1p2ZLV7RGtqrNTX242RklxOKFbtR7wHZbH3o7hSHFd2M/lJzUIH3oKpvM UwzYOJ+WQ2fv4X1Rguh67m6c/4LD9wf6YMousNc9DOtZGR54PtKHR7ysUbwP 0UdiN+2I1QczF63v2Y9x/FkbjbfP9OGQ+b7Vy3GYc+VZXUnRB/6wBbuxBMwL ZPom0vShjj8/P+A52s33YFCWPpzfdbdFOB3rp2uUDuToA2OSjVrJK8zVDHJL 3+nDmUM1oaS3mN9WWaYU6ePvwerUv/nY30ThtuWP+vi9GbvzYTF665mAqE+4 PzcX6rEytEzilxNf9KHlhI9zbSXO92h/f30d3udzwrDZV8zvpl+1bNYHrhef DjM1oJWTIpk79MG75pdiYgvWh6ulJ3frg/n2itenOzF/+5Vf8Yc+kH4Vz3T2 YF6iQe4e0oe2j3TMLv0b989l5zaG61e1Om0dRvs+6N02pQ/kNkpe1vjG+aYI Zs/qQ/OxkuqLv9E//I5d/qsPCV9LTg7/wf3NnXg6uqIPT2wZnf0X0Z/oe27T kSBQ9k3Ann9Yby8+uW8TCeovhMwW0lvi78d3xA9sJMj/KHdcjxl9ezpKnwvr 7/crzLGjc7anLPCQgPHfWPr9LWiV+i0RO0gg/lFvRIwXffzzpaMCJOBM0Zz7 vNMSGBgUiDV7STB47T/Da4KYqzWXXz9Agr5yzhg6YUugvyL3j+EICZhMGZ8/ PWgJ64ZZLAlHSSDlxLtFTgzr1e0cTv1HgqXlrPNtx9DDUekdMiSIcp+7ekMK xxuQ3zqdJkFlGW8Rpxy6U1yAW4kEGZWaf16ewXq3ee1MVey378uy2lnM9/4m XbhIgrnyf8YDaph7tJYPaZCgfXffE59LmH9XXvLVJoGAYMSz3VfQoy5rgkQS QMMT5nwd7M/7uOl7Cgn2bh44pa2P4xVYYnSNSCDUH6Y4TUWnSz2dNSXBoejU 5yHGG/VrDGGWJFh3ifh2yAxt4i59xI4EsqYu3Z+scH7z7zLVjiS4e6wKaPY4 PvpHnLEbCQ4o+DiuOmF+ULRhzYsEXNrljk/cMW//VR/rRwKjjNkOKR/0aqOk zB3c/7s9bE3+WD97z6QlmATdW21YbAMx96Ea2d8n4e+ODku2UPQVz08ckSTQ 0G6NeR6O/Qiyzr2IRs8HPD4bhbnT6WmVpyT4psW03PsE55O21fqRSILgspei HvGY30jx9Uol4e/KJ/t3JGNuu8OTP4MErm+FAnJebMx/pSf3NQn0XtFyNDLR YfvZruaSICLHP2MiG+vhC/1UAQnOv5nhCMxDn580uvuBBJ/ev5XZX4j1zHDv QDkJfNsmjpaWoC+u3iqvIkFIRngYuQL7ddUdpNaQ4KrSnvd/qzfO34VzuYEE PF6FryJrcT6RRwyPW0mQye7Eebxp4/0wGUl+I4G8/Svp2jY0pelufS8JVmxC j1h0Yb2/lLfVAL73+YAgpj7M1wa6mEdI4Df8ODthEPOFQIbkCRI09A4lnRnF PJI0pzhNAoc/o+udkxv5tqvdcyS4SH160HkG3UV2dV0iwZkokR08C2gVCzPe NRIIP1ByzFpGl5yqeM1ABp7TL6IvrKNpJ0cvsZAhYtI1cJjRCuhehbaPcpBh cDR6wI/VCv+eMjlxm5sMW7VimYU4MVdf1tm7nQzu5MQ/hVvRPoFKH/jJIPt6 8jKBDz0eFEsUIsOxlBz72V3o1MEPc8JkaLi4nXJ/D3qxLu3BITIcbLqad0QE PVxKLyFOBj//pPYqUXR7qvCX42QIUz9caiKB63/I47h+kgwt7TE710+g//Sa 0MuTQSSqUDZWGusNHt56qkCGTK30vbKnNtbjsJJXJsO5kMNuLYpWG/+/mPK2 c2Q4TZ55ZKdihf/+P/vhoE4GmtV+780XrIBhmFTFdZUMkUfnWl5cxnx8QCBd lwxXLNNmlLXQuRLyaiQyaD03av9BQDvZCw0akMHO84C4Fxk9POHoY0KGkhmz 8ztpuJ5a5f1d5mTYbHNRLO/axnmeuJFvTQbl/fy+VyzQVwqqtBzIILqFIXbS Bh0s2z/lTIZmx4Ned2/g/sxGykI8yMAcJNEo4op5Qur2QzfJ0No9PlbqieuV rBytuIUOv/mF6os5YTcXLYgMDAW+Aku30cuttJVQMhi7tUpF3cX69lK3xw/w fppjeSTD0NHbCFKPyGCvNH+tLgLrcw6kNcSQYeaggpfFY/QRlo9Wz8gwbPSY yByHVpmMYU0hwy3H6ZeJCTietDaRnIbnKdT+8czzjf170UMWGS7stYjpeon1 UnHdPW/I8PHO1LjzK/Rsl5jbOzL07Ypf3/oW3bMfeIvw/j2iO1/l437pM3a+ +UiGWVdt0YvFmN/ZY67+Cft92n5quHTjvE97jn4mw6/rZ7fdqtw4n5NaAXV4 v/YSxkJfN95jV8LeZjLkLPs4FdZjvlSZU9xOhlpjvYt6LTieWzxIv5sMTJ90 omc70MGDbXN9ZBDS03sZ1rPxXnyHw4fIEEK86S3Wj+OLpAslxsiQfb78a9VP 9HYpli+/yLAU+rLLeByt+o7PdJYMP5R0s9ancD6X6VH6v/j5aM9ZivmDLmA9 +XSFDJaSOqwyi2g3VWU5OgrEaut/a1nF9R5929bORIFq2QYRO3pr/H3NbujA RoGPBaKSHMzosHUrTi4KPM4OoE9jtwb6xQn5dB4KuJXzqytvQUudClDdQYFH SSeIfdvQp3+H9++mQBTXrwNeO9Eu8gY+eynwnvTSbocgziee84L/AAX2sAd7 vN2HtjyWk3eYAseLXqldOWgN69Qhb62jFGjqSLw/cQQt9rDqlyQFzmiSngQe w3rf0Ya7MhRoSPhrIiKFfsQXc/A0BfxXD2V+lMX6nwwDZYDj2T7mks+gJWTG qaoU+O9wj/eiEvZj+zNn+QIFDvJKVj5Uw/Fxf5eiNCjgQAmvPXYJ693/0Elq U6BTmS+yVhPzWfbP9XoU0H7m1mWmg64/zGVJocAPvYAfjPo4X0LrNmYjCuSH k1MTqJjXnv6WZEoBez+OyVPGaNuXQgqWFChUZJ3puI71wSr7u2wp4NJon+dk hQ5XHHFxpMDPZsryFnusvzMqxuNGgQpz2bUMJ/So8bFXXhT45CZcdt4d6xv7 Zi76UUAr6+imIW80vDw5HECB3NA6Fl//jfMfkfEPpkB0n+AXgUAc/+nrotB9 vO8luc0FIZjbp5wqfEiB9COhnDrhmIs8Ok2IpsATwf/qpiNx/0WNK7NxFPBb yt0S+gRzNW6FsEQK9Ndxc4vGY77CoXAklQITh0zrPyXhfNZzK1XpFCjeSs9N e4FW1zhj/JoCvHy7t6xmbNwP6+m1txR4ltJUE52NDtdejCmggI5W3mapPKz3 nZeV/kCBjuQi9sb3mFvHSTeXUeDmBEOVdQk62m3GtooCJ9f3MLNWbNynzgn2 GgqYPGRiTKlGv/kmkdpAAane+mKoxfqzciNnW/H9rpxY7W7EXJB88HsnBZab 6Rdd2zb2U7vPo5cCWz0p2bxd1sAQWfyNb4ACdx3qpl5/xzx0ckfOMAXWnl4Z uzSIvraVR2OCAmUrjAmjI+hG0ufx3xQIMUrpvTWJ9incdGeOAuPdq+17ZtDT uWv7lvD8LoiFFs+jO93flvyjwGmBbV/0ltGi+6b1GajQpqhf9mcNnco2Os9M BWuX3c7hjDb4+904NoKDCjqPT70RY7UB+qCzHRLcVDjwiJZWvRmtzl7/hZcK yTvTSNe2Yj372M3r/FTIGF6PWt+ObqUroheiQogTY2jsLqw3fpH9VJgKzZca T8vuwXyYw0j+EBX8HbVcW/aj1TRi28SocP3eIWs7URtYr6i673CcCv+YbXZv lsDxZ1MUuE5SIUXmsu6LE1j/Q8XtpRwVrs4cuqAsjTmhwkpVgQqpAbv+9smj LTX4B85S4QWH1HFPRZwvRFTL+xwVIpd+C+9QQUcFqfCrU0ErwKrh7Xl0f9x0 3hUq7BRPYNG8jPP7Rohe1aWCrcmepfGr6L3v+H/pU+GZKnNKIAHr5aQ/3TWg QvyPB93CZMyH/FdETKhAjeGuLTHE3CR1otSMCqUOz5zJ1zbOoz6Sak2FrfSU zAVzzD+o1yzaUyHvVm5shA3mpIuFkc5UUOmtVD52A500b3TCgwqex9rdv7qg g6sf1/pQQTtVzPy6J453KA8wv0WFc+yDXIy+mIvyim8KogLre2mV+Nu4/4LD RgmhVFhmcz8hfxfzz1s1Tj+gQkx6VXv7PRzPuTzbGUUFDv8DHDci0GO7DjnF UCGrQOAv52P0pQIe7mdUONj/OSY9Fu28npeZTIW07ffrVRNwvqnAsXNpVIhu efy+PwV9VKZ1MJMK0xHrZJ+XNsBAkHfxfYOmHwnjf4W51FDa7ndU6DAocsvL QVMMI/IL8bxZnvBr5aO7OiV1PlLB+OPCpV9F2L/00rXfFVTYJjUpdbd0o/+o yyGfqSCfFtV6oBJz++7JQ3VUuPWDnrnsC+bx7EIVTVR435z9i1KP/k7bZNiO 9/+iJGSpGfs/w5G80kUFxy3PiiM7MG9/1fKojwoTcTbJx3vQQgcKJYeoUG6g BnU/0J9iCA2jeH5VR+zNf6Ljzt6x/IXvbTJNl2kcXWxuxTxLBZ+KnumEKZy/ TY45eYEKMjwie0//wfydykmFFSq83vuGqfMv5ic8+LvWqVD35Vm806oNrNkw v3VhMoAcNZW6LfS2+B5s+7eyGUByU1d2xib0z6xPWZwG0CV288J5dlugl52m XOQxgJmJU66DXLZAx+cQ/JPPAK7CY/2b2zCnOVv77cbxjZnTu3fieOXDjEJ7 DeCJcJ1gvgC6ifP4exEDaJiVXdfah+OHhbfqHjaA4AaOqN8HMHePTJ2RMIBu VrOy4COYH89tDpU0APHxwsSDxzB//CZHVMYAPEaFpSv+wzy6QK3ylAHIVJQb GciipQVv0MAAAktYlZZPY/02zqurKgagLM3d+kgJ/evtYPQFA6BWs66fUMP6 6w5cUhoGsFdZt7fuIprZfLJBywBMJ7ntLDVxP+YV3tZ6Bvh3HuXJJh3Mg1tf sFAM4FN/uksiEXPuutvJNANIY+RjUaBiLt/JC6YGMFIXcfybEdp4l0K3hQEM jn3c7HwdfX6W39XWADrMC2K3WuF4oZC0bY4GIFfk/SnTDnMmvqZXrtgfU9Kz 806Ye/3MuOhlAMOnQeKnG/avLyI34msAldsddX29sX5VwMg/wAAs+94eE/Df 2D/bKaFg7NdDsLjgDo5v31ZdGIb7uR8wqB2C+XelKd2HBrBSnV78+z66i6d6 5jHez8SLc6GROL/hm6thcQYwdUbc9tCTjfNacT2caAD2hwTVKp6ie6M1K58b QL5eVINhEs5fkNNplG4AZYNm88up6MxLa6uvDCCrmVD7KAPnXxxujX5rAKtF Xjr/ZaN7XlFOFhiAs0Cte30uuvyTX2OxAZTSj2pavsfxxvf0rMsMwGFivJ25 xBYYsiW/s1bhfs84riSWY32uH0PKVzwfS7fGM9Ub+/mvQ7HBAOY7eQldNei5 G5SeFgPo5+pxd25EC9H7unYaQMuHxstb2zacrL2t1wCaT3I2Z33D/ST6d7zu N4AmRs35898xjwhZvjiM7/Gs3eehAczP6NcNj2M/R4Iu+Y2gQ7ZfufXbADhj uGwFJrGeYnJDaM4AStJEoGAac7lDKoWLBuDvOlSmM4/7qQ2uJPzD8xVMGPy9 hPULnCMz9IbwqzkuN2RtY/8F+feYDWF/4pyUKKMd/t7JlTnCYQh3nrIRKljQ Og+IlVsMYbvl1oOGm9E+50SNeA0Blg48X+G2w/dA9+LfTkNosHpW+Wi7HdBX KVVHCxqCRcGHSMldmFdyPZISNoTrhTE8DUJ2wGAcvq3poCHcXNaQtNyP89Vu /s9azBBu6JHomEXRItV0rMcNIT6q3StJHMdfGPVKkTIEzT2zsWdOoCVqYxXl DOEjaYfFt5NYn5lg3n3GEBznDYec5dG+YYOuZw2B/WARw1ZF7OdiDv22c7i/ 9ub6TGW0vXvdq0u4v7jS8xfOYz89m89dumIIX+5FXR9Sx9w3/dqwjiEk7+s6 4XsV3Rl/zF/fEJQ6X6QLENBuPGlCBoYwIfu1Op+E65X8+/Te2BC2PNoSoW2I lv8TpmtmCCT9B2zTJlh/dDfzrJUhyJlyHgwxx/51acL37A3hHhft90EbzAkm E6LOuF5akmmFA473VzeqdDcEz8FHfgYu6EU2b5qPIXxL235x2QPraXKqq/6G UH1S9uOjm5iXMhRGBxqCNMmo68RtNHG+9b9QXP/Al8S6IDQvV1xDON5fSdB2 y3s4vtZpi3WUIUh+mDu2KQLtkX6YJQbnq9ReSHiE9a8KfyfFG0L6aIn5mVi0 Wp2RYjL2+9HSv/MZevSsZ9cLQ/itXHLOKQX3M3gOXDINodC+uYD7JebfGd/w vDGEM46/mzKy0I3jX7LyDMF2h8WjcznoI3xhFwrxfZwlMg+927iPrH8/S7Ce cUzoZhHmFFY+vwpD2B0XMrCrFOefoXwT+GwIVj3Eq/mfMA9qPve+1hDCIpQs tL7g+JQAQ50mQ9gbPiM2VYceGNk33WYIM2F+T4KbsT5i7/3QLkN4rFGafaBj Iz+ceqjPEC5s8rpR1o05T7RZxaAhkPXqvlN/bJxfRIvhqCEY9fw3vziEjqsY W540hKOn6vIix7Cfui3pj2YM4S1Dzt4TU5g3P+X9b8EQLk8kStfOoiOJR+qX DSF/0mPB7C+ulzY0ZrFuCCm+ujSmVbRl7mFGBhq8lU4v1KSzx79H+HOvMNFA zWzpyVMGtPzZh/HMNLh8W6R+ggl9/mz1JCsNGgq9iXIs9rC+x++qPAcN8rj9 ZQLZNuoNjwdx0qAk64xVGwd64LdJ+xYauO/bMS/MhRZ+/Ws/Dw3S9ri22HOj 6cZqHHhpcK/SgvkjD/p79tpHPuxHt/f+5u3os+xBnPw0OMXw1oa0Az373pS8 mwYrvQvP0vjtgV645fFLQfTO3YcXdmOu07v37x4asIp6M6sIoe/wr6kI0yBm 22HZiL3o8ZhjD0VokCu0s6xPGPuftyv4cZAGvD174yUOYL6mFXX0MA1+XtBs 8DyE5tar8hKjwb8bAsQvh9FX2DW/SqCv9EntEMfxIS/Edh6nQWNHsqnpUezn hxLluiQNYnXXfuUcx/ow/6G3UjR4F3HkK91/mOvcLaWXoUGLm9SyxsmN87CY 1pSjwTExCf84GfSu825PT9Hg/dcW6rgc2viL9sQZGixLS92TPY3uWfeXAxpc /TXFe0cBPZ3AHniWBtSR/6ZbAJ1T+rNVhQYhy1x7hJXRyw68+8/RYGAmONVO FU1qjbW/gHmijd+Hc+jJBy4ll2gw3Fr+muMi9uf1IWWzBg3OqLdJ66tj7vFO jHQF98MgtvWFBvroyKY0LRqQ3jcozF9BWxr/t6BDA52dLyvPaqMNhAuV9fD+ zZOeheuiuxYePtCnwZpRde13PTwv09nSPjINzFnEtMVJmJefPidhQAMXaoi4 B2VjvNteTxoNkrfOET8boBvz1b8Y06BYc0ffdiN0Z1kznykN7I7wFpiYbNxP TMY1MxqQVRcG35iiebU7cixooPyjzWLdDPcTzE+ls6bB9b3WZy9bbryPkJMa tjSIevbJJtZ6Y/5CWpw9vh9exT+jthvvV2B4DH8xnVO/XCPtgOZjLpFxpsHt tuX5247or8GjAa40EDik5dnsjN75xabFnQYcgbu097qhpWxU93nR4KWnobet B/rGXTs7HxqYxEowFHuhCxXmin1pcIvv4je2m9jfTpka9ls0yLYoZSD6Yf75 9hwxgAb7Uo0Dn9/a6IfLPTWQBrvKjxv8CUCrF2jO3cXPz3HpQKWgjfcY5XY2 lAbNpHcc94NxvtzV1fthNJBmhYGeUMx9jVt6w2mglfSdXew+urVzRewh1rct h7k9wPsg99x0j6LBU/m1a1UPN95/kW71YxqkHp8L5X2ELr3rvT2GBszby7iN ozf2q0BvEkeDnStaw69jcD1iZnt2PN6/XB7nWhzmt4f/rSXQ4DdF98GlZ2hR Wz/1ZJzPLfr6k8SN+e4RYp7TIODb3Xsjyejjet6jL2hQPVzFfTIVXetJJ51O g7rft3/6p6Ht+dpuZdIAZBs4mtI33rvsStMrGryZDQoTytp4z13ee97QoOtj orH1a+ynvuGqzVv8/HeJBBW+wRzEXIvyaLC7q5idNXfj85C+xFpAg075iO+6 7zbui1pHKKSBikQ2Y0oBOkZ7NqWYBiznee/MFOJ8vs+cZktooCAaqa/4YeP8 V89BGQ1ezcv73PuI51fkaR1WQQPBOQW67jL0E7Op7koaGIqfaRH9hO4+W3b4 Mw02fYC/LlU439E9P12/4v0NL7t9+rzxfVB2vbIW9/fj3iWemo3v3xNy2xpo 8N9HJjta3cb3gR/FqAnf54j3dFbDxn0P9L5qoUFF5KvylSa02vTr1Tb8PmlK /HmhdeP8i5svdtJAlvbh+uP2jf2Vakd30UBC3k72ZyfaXPPAcA9+3o3LSf91 4/qZnuek+mjgN1nW7duLpph89uvH9/pOOqu+D+uT8p40DNKgqFCsQWBg4/vz VpHgMA225ldoWg5t3B/TaatRGnRPvd5bMIxeqNv8fhw/P9orSsxj6IJZCZZf NOBiVSjXntj4vAm+0vlNA5ttuRGJv9DhDj5JMzRIopq//f0brbEeP/0H95Pq 9t+ZWTTropDCAg223YllDJlDFy9OhSzSoLCre/+3BXQ8z5auZRqcjPNOPriE /U/FhR36R4PHZ7Y6Oq1g7sJl4LxOA2JUYkT5P7yPm27eFfRGsCAozMNN54C/ d/tXuZmM4Pu6Yz+VwQF/72ytNWA2gmLWJLpMJgf8fcM/kbnx38EO5t1cYsZ8 ervlMjuOj/LQOMeGLi2QPc9pBPa8asP1vA6QUdpgX7/TCM6XvLpgsNcBusKn v1NEjCA/YMZ7XswB5s3Pt/05ZgSmqvPLF045QMmKZOtFRSN8HJEimRcxb/08 kqVhBL8NNVkESA6ge3fWTtDACLQvcLx+YuEA6beGO2NsjMCRQS7tQIADrFww VDx41wjK4pzFehMcoOJAyGhvihH0yNZ7lxY7AItpErWs1AjEQm4PNXQ6wOGz U0WNPUbwzFbLfGzXDZAxoUsYEzKGipPkgL/UG9A9/M7nr5Ex/IyPFrR6dAMi Zq+2WMYYA7mHwhPacAPyb3UXhbYYw+YnjG4UNkdwlW49SeU0gaW/CWbflR3h 4XsRl+/nTEBTaUtuaqAjGE9u03gRYgJPvjaqU2sdIS+4Xc2w0QQsua64bOJx gmGvRilmvmvw1ynnZhLRCRb7bvglUa6BXJvaZ5kEJ/gtwsArl3INKh2OvP88 6gR9X7tffpm8Bt9pXpVESWcY6rizU1/aFBgjim0nvJyBZy2JOOlrCouqnlZX m5whInaITavNFLZelHzJcMgFxiJL8xnFroO5poY8k48LFIOjCZP/dQjIt7hA bnfB34/XVild1yGVzoWT87grnHdff8khZQYuki8u/YfuzTiw/TS6onTp8000 XWf4zG10UKrCuVo0Pd2ISz06Rnn6Ef9/mItbPOCXMQN7Bp59ZifRtFNj5nJm ULu56meuDNafT899d8oMHEIoJxnk0UztZowKWM9/6aPmabTXloQrYAbHhONv PVXA8aWLl+PPmgFHZG7zOGA+6vFwQsUMpkIFKLLK6FYjXrlzZhBI17PnjirW N55ovnMB613HbFvOocN5hVovmYFVnczi3otoyrvn+zTMQLq/tshWHb160dzu ihnQUx+zF2ugUzzeFWuZwUT0g4dsVze8RZFd1ww4iWUEPW303lV6op4ZaBSq P0/RRdvTrjzXNwOzhAWJWb2N8xjrnCWbwX9Vn6YVSRvzP4kFAzM44DygeI/i Cuv7U8fv0cwgOvCwONHaFTw0NtUQ7M1AZC2oQsLLFRaO1ewS8zWDjGdSnFyh rnCAPv4IR7gZ7M7qW/6X4ArK1neG11LMYOC31y26d66QLz1EZCg0g9z02fzt Na4A6kzMOxpwv3tN0878cIURA+1ohSEz4GrW/1LA7AbXEz8sFbCbQ9C+z0MO Em5QJfaecuOEORgd+2JgoeMGbdYs/yyI5mA6Uhf7zNMNOp7cE0u4aQ6WMZLR d1rcoF0ll3inwxzY/aKW08TdwekvxSftuAUsSrw6yhHoDtUeWW/YQyzg6Fxe 9psBd9ja9+rWm2ELkEp7cm6PpgdUcTxqFdK2hHXWwiqtDx4gIzlXpFNmCRl7 aXHaEp7g84IgrXvCCiLzn2sefuYJ/jMskoeTrUCTcCS4m8cL/m7L8ujms4Yi wXu7bgR5gchhu8uOodbwnLr919y6F9S4fl6eZ7SBu55rbNbu3pDcmWZl5W0D u1PYLPZt9gGr/u9nhLltYeYIR3J2og/snDVczn6Of4efXRo5JH8ThMoaSkQV 7KCfYyg9qu0m/PNyDI76ZgejW2UITPK+0KBTwrEJf5daREYsVAf7Aj8xSK4a f3fYuJcfGa/3hXQ+E7+JRnugMdT1ivD6gZpNQaIInwN88N8e4UXyg0ApyTov igPY31TvnU/0gwc64QILyQ5Qp/jNLGrcD1LZLydFTTpA9PEOhR/X/eGM+Kzf D/MbUB4V9jdo2B9KhCIzg0ZvQAL/vslUi1tQXDrj9MLKEcSZ2/m0pm9BnzLj Dq1ZR9DxerMz2eM2GDD2eyZ7OcGpMcqpt6wBkDpxajKH3Rna9vCwqLwPAB1B 8esqRc7Q3eJnGW93BybVjwnEO7gA90FYmBULhB2zB3/MSrjCHk+NZsepQFjS qMxwnHaFI7lyNTr5QfA4leuRzns3EOSyoNXcuQtJr1nEa4LcQTlDvJmLGgwj 5wOiuQw9ILlC6zhRPgQGrg9N6J32hE1+Cfq35UPhWDid/e3TXsD4ko9hl8o9 yHCydt+l5g2GgXHZDnphoH6UvOKg7wPqL4LER5zug/rDYrURl5vwrPhgvbVG OHiz/ffFWtMXhIPyWtpGwiGVh+lv26gv7JzslObNegC+xQ0cvK/8wPtfgYmm ZwRUqUs0a3r5w4tsd/FprYcwrPMt5bf2LYipflh0hjUSrp/YpqfAdhs0uYT+ HfsUCcpPkv4dq7wNIY1VCpsCo6DyzPcmpqAAKI//I7B25RHsEOLLWLt6B9S/ j4dRhR+DbtCCLnV/IKRZnV83X3kMMztFBs1XA2FwQNTMvCca/FeP1pr3BsHo 408GqZVPYJLu17/nVXdBTImgYJ8fA1lR/L32BcHgGRQswZcTC3tbhjy2vw0B 1X8/LkzkxYGKNK1g4l0oeL7eW6xa8RTilK2HVT/dg8frRxt9uuLBMt3A2Kc7 DBb08nb9WXkGeSazgn9W78Mh2x/q9JEJsIlR96VfZDg0a3FbZaklQmzm4znx cw/gRMFBZbe+RHA8rpW22PcA3s2+VQv2ToKsgLen2H0iwMDy/F6efckQaHKs 7sG+h3Dtc8hu+JoMr9I5Y0q/PoSbWUliau4pMOZ/erDSPRIExDjW9I4+B6rm EFPn0SgoGvVmzxh7Do6+Mnxi41HwnE0k0SUjFTilx2MXMh7BTgbhlT+OL4AY dHWzk9NjuChv57bkmAZHlbcpuztFQ9MfgYdjPi8h3IgvzvLmEygM0dyxSEuH LzK7mFyMYmBy5r6fwP10yJbgzH16PwZKLuYmPviQDpKJWfu3lsSAz5d1RuIk 1jcHDnZMxoAlr4u0/e4MOCCtfnZ6dyxcLVb/3HUxAyooqa2kS7FweXv+Yb9n GZCZO3WJPiEWKu+u8xydzwB+3kLmV/Ox8OOodc7QpUyI9YgqvqYeB0czFhTT kjOhOf+MtGhKHFDnq/55rmZCao4L2+pqHMzER++ZT8qC+5sv7nBOfgp0GQ/V jlx+Be2mUSfTL8eDzFjT0PGVV6BkGlqdvRIP9ezMo0JZr2F1m9x4fNYzkNV2 pQacyAb7IkHlyhMJsKXqyS6HkmyYWppqzS5JgHhrRYFDV96AkMrxnutXEoFX esfWpuE3oO5wqpp7JBFK/SJ5YvxzoEZJufqbfxI8GDr95tX+t6A9/tJ4an8y WIUVFP79/RYsP52xk5lOBtVQvt2Vn3LBKP2zw6bKFOip3FrkkJQH98SFZXOS noN9X845yt13cKHR4F3s3VSYuDZvOuKeDyYXRRIOebyAadX3ne5OBfjvCBNd oVMaXOk3TvVxfw8qVOPTJe4vIULCVNP0biEQ5KgPnt9Nh5ObCUuJKUUQvDm+ pz8lA9gr9yVm1RRDVu3luF81mUA5Mq3BvP4BHL35FdXWs8AufED9mOJHGJeU IdkpvoZH3u8jbO1LIZptyTbMPhu+L6jQS6iXgRbhw+fL6m/gz57WnDP05ZDa +3mYTJ8DmoxPGe+h+T7FzVigNYj8hB70rS5aTS1asJ8jXYyhHJTEdpXsY8gB 70XjdQ902HbK6xvoe1H8hK9oUzkWr3K0KqsmiwVjOdT8vXbqPmMOOL/TKGFh Koeou10l4kw5YJH5xSMVzffeP6QafT4glkONuRx+Jk3NmzLngFJId9lPlnJg lr+Wvok1B9Z57z8NYCuHs3a84c/ZcoDat357aVs5EA2rmnfw5sD7/F2ejkLl sHSLz/mBEK5Hb37rj2g5xCaLBG49nAPW4ZNFDKfKIYP/gOv+UzkQVrUytv9y OVA0b9CrXsZ+gkz36BmWg5BrJberYQ7QXA/axjmUg1vJOc9ihxzIvHA9PD6+ HHaFLRiVxOfA5VLdQK7acmh1EVA9WovnIcVk+GsJz1NS7QDnMp6n4e8Dp0Ur QI7r2A+y6FuouCNfMexTAWqGdrLMN9+C4GqcA39HBdQSabvkO97CpdF3Qt3H P0G5T+yhleO5wClu3yEZ+gmcGMe/aoXmwpO/XZ8PjX0C0ytLTefGciFPyUlg u0clMHDY/5HyyIMJppLeKa4q+OPuXMq15R1spYorNL6oAqHCz6LTL97BiQO7 xdpUqoHU+n51TiUfPtw7pLNruBr4nI+ryQ/ng9D5vKMfQj5D/p/JgZ6QAkjY x/ev++QX4K00LFw5+R5yxaitUUNfoK9XvjZv6D20TKSMuBZ8hRUu/fDHBYVw dr2lbs/DGnCz23sDHhaBwqNbvz851UKI3wfakFMxzHLz+SZQ64DtmihLGfUD 1N1Vvf3rcj2wKN2Q59QogaljTD9HVRvAu4j+DJvaRxCMUS8eFW6EK3WzCovC pfBlYIZ7LrURWGMZXjC9KIU7VxuHZY41wcyVnZ7njpVB1OgFnfY3TRBGDtk0 /KYMaoJjInVlm0GE/9I7U9ly2JT9YW9LeTMo/3zfMFBeDonCVVo2V1vggji/ oPfVCsgkJ1orD7XA1/pGQ+2hCvDpG4519mwFsVuCMgGen8CPSt50YEcb9GR4 7Dq5oxLYXD5UOea3gUDzG+Nb+ZVgK/H0aPj1dmjwvLcp4XoVRBMtI47v7gC7 s3xasLsaxNRirfzaOuBNw37ZB23VsIfh05PsqE5ILF9SL436DBF3Vex+kb8B c97Zc//IX2D4nlehuWgXXLVbUnYT/QpnD7W366x0QeMtXVbTla/AkXAq62dr N8jaOUjPtdbAqyc8EUZt3RCk0rp+sq0GpApY3HvR2dZdX1+jfYz3G+u3d0NZ J4+7WHsN3Pe+frkNzf/+A+kF+olUk/zVjm742yGgtr+jBgIqJndf6OyGuobW TrvOGlgMGNik9K0bcmoK/HW/1eA+7BZlu7qBFCbVer6rBtiDglm0e7uBlSVW 07i3Buae8tjZ/OiGPz4tl7x/1IDWd55jQYPdwOT2mid6sAZi0xqsa+e7YUgj menbPI6PISUKsPbA/A6+ZFHWWrh6JqrVbVcPJLvFTdzeVQvfZGS3Vsr0wNcW Ymq7TC2w6rd3HtPtge2EvSVKurUQfffopfc3cPxYqNiXG7Ww5EEJMgrvAYvg vSkO4bXgL5g3cKG1B9ody5/pt9bC2OimVy07e8FR95/G4M46yB8St6Qz6IX9 W/r4uA3qILXOJqYpuRe21ehJ9yfXweGV9O1aR74D9VHSaaMj9TBR+WhM6u13 uOB5fVz1bT30n/wycluhD06yis5HKjTA6Ks+nsu1fVDRWrBOqW0A0dBxTfWj P2DsUjpB52gjiHsZyco8+wFhaaU7FJ81QvH6NUHpbf1QkdmwSWFbE3zkZfAw CO6H0Gt7LK4HN0GVYL5BFdMAfOOnytUzNQNB/4HLbf8BfMdbrUP9m8Hm7m+2 bMZBKL2+qTafsQUSRQlMRkGDoJEh32ge1AIDuxiXXnMPQb2Q+2w+dyuUm54L T80eAuHg9KJX2a3QrSJ6LVr3J/zyY8p5ptsGLCKBx7PWf8LC+bkb79bbIJpp f5Bn4DBInh5T8w9sB+V7DUzv0C0yxcJK6A+kKf9p9GzUWlkDml3zI71Y0DCw /+Qx4g1qh6TzYn6m6Ge7VXZcQY/7H6NPQJ/hu10cjGYMmGHYfncYEt7bxx+6 2w4xp0VYgtGHG2wVI9GB5rmc6+jI3VPrzMHtsEe48NqW0GHQq48c4QttBy/K 3sk9YcPQrjvYeSisHVZmJpKPhw+D5X7jSNnwdlgyOi29FD8MAhQxv7X4dhjQ PeFWkzUMkzH1pxuz8HNLEbd/UTwMeXd+qGYWt0NROv3T6pZhUJ7aS25qaYc4 X7Lm+jg6SUyEbaIdTmf7x2swjMCzm7mMBIYOOCE4npTHPwIi3N+DP/B3gIRW u3mc4ghINj/WTVHsAKbZQIMy0xE4Z8R5/YtpByh2lI+JhI4A/8x0uXhoBxTk yzpU54yATVAUuSGnAwJOe195Mj8CzGIMtQnzHRA6efzxIblRkFdj5jsm1wl3 KtKITt6jwMK6Z9TTuxO8LlVk+ZWPQtHZg8J3yzth0ye6o+6yY+ClYEX1lf0G tLUP75Oyx2BbCDRnZH+DBOH0KlaxcdivJFPLLdYFquVXVvNejENe7ZPJDy+6 oPmU1sm8gxNgKztw6sPBbvg2xJ/hOz4BOVy+NkHj+LkdIHE2vp2EgxEX+jre 9oAwda9wjf8v4IhzYWzx74Xv3JfrYvSm4LLiu1tJet+h78bELgvJ35DlFsTh INkHgUx7krLZpuGAfJNRLtsPWKr926vnPQ05D3e9Jnv/AOF9F3crzU0DmcNj u+rcD7hjGNt5y3YG7lXMDwba9oNt8Y9TspMzYDc8PHxqsh8s7WV2u9rMAoU0 PudhMwDmuiXr+rOzkJhwtpQ6i5YC8RWPP6DrFme07jEILbc545xZ5kCWRWHa jWUIntH5e8g/mwPF0G0EhWdDELbLlep9ah7EDawpfqd+wsy4swatZx7SqApi 13p+QrD/oh6z/wIolaovsPkPA5tgfPhD8b8gEezp81h8BKq11oUkev4Ca97J quM9I3DRu0VlKXwROPdvP/8vfBT4fNuM91xaAvvNj4eFL43B1YRwxinxZZiS p+bOiI+D2+9/d+L4VqCsMnv2Gd8ELLNvl3dgXYXhy6QiJ9ZJeHIoujeX4R+s w2XDAoZf0HQ+ozhn0xo4Vzb4vds0BaHsPSUFW9eBz69soWjrb+hQzGw5NbsO OdeDGxRnf4O490RSsDWdUt986O1Q62lofrDPXm6QTinu7HbVU4PTwP/4Q48S lV5JbKywRJk6A3Nfk4WKu+iVVPcOiZR0zYCjj+mokTeDUna+Tq2J9ywMMz4n NR1gVLLovRnUcuAPfKt7Kq7Yyqikxf/nPbT+AbMrd1f7g5iUDN9fShgKmoOR rdHas8qblKgWK1//KM/DvtKrH9M3MSstatd+y9y0AD8jbAbP1TMrqVxkq71Q vwAngBLGGs+ixKbZzMAR/xds1l99knBmVeKRPSx9zHkRbv2e6lvWZlOS1U46 /U97CYbtHZ7mybMrFRYPK+TLL8NI1CW51MMcSuYeTuVph1fgyOSsx459m5Vk /GbLd+5bhYs8R74R9nEqpdC1mujv+wcj4S/v5h7hUvrXL6by7sgavKOKxd86 s0UJUsb/BJxZhxnXJxycEtxKM4cd7nBK0CldybweZF7KrXQh4Ncey1I6JbMK 9+kbZ7YqcX8sdXY8Q6/09cVajnDJViUWnn28IiX0Sr/+x3F9h2PVBnAcL1SS LbL3yiZb4icjWdlCRkIolZREJEn2HtkV2UoIUaJBSFaIijSUlgoN5L2f96/n +lznnHucp76359JdmjQ9Vvh7FXim6VGBwVL9y2Q3K1aNOJSnu6nApG57z06d DX+fXKqzVadGz62QxkhiPrPyan/ifQfort8gvjrFoZpLfFWHqvQlcQPDSeku YioLj0I6DTYcfZssskB8JU02W414dp0Ur7AGNT6tWY5NIU53StTIJx5MOxb+ idisYM34Z2KjxLgTBppsUKDpOmioSY0Ev1lBCW02lLcK90toU2MD1YjmRl02 PN1Hw0GnS56fdrn/SY8Nfe6hBZ/1qHF3DXP8Vws27M+ImftsQY0I2XL+v85s CGkQUvjtTI2zNsIRjL5s6Gq9cIXelxpHxReqe8LZYOV8/8mTcGrMNTsrXc5g g1e0cdXVDDJeYvTWpEo2nLxvzphcSY3TU79qMtrZoP3LtTOznRquk77dj+bY wGxkm905Rw356/xFBwU3Y1142T4fQRqwaxzQDt2zGaNcn6jO7KHB4PXvtVQR mxG88aYfdQQNIiLX6HJPbgZ9d34x9yQNaJ4JZL3ewY645F9mb3asA92dxkC3 InaMUX084160Dpk/ypsLqDmg5sJfVUi9HhPZu/yKD3Ig4XJ1YMnB9Qhcpylc sW4L5uvO/qxYtwHFWZNCy9e2IJLmy5qVaxswPmh1scmUE+vO+h1tNqVF9gCr 4b9FTsQW3mRZXaSF2XUtsS8lXLDIkuD4WrIR1yqPPynZy43g7PKT1/bSYdMf gV5jVh5w31iM2M26CdrlH3OWnvIgQ2hN6vLTTbA+1nH5+nVePL4WPnXjOj02 bWD56ZvJB9l/P775ZjLAOJib3+s8P9zYc0oPnmeEq4OAwDN9AVymvj0+rM+E im3P1em+CGBiR6Ez3RcmNElzcB4wFYRu1gK3pykz8tc/oGIpFsTt1WxdlmJm PGl2Tc5YEcTGd2v7M1aY8eG3WOWSgxDU1Q9h2YEFp+vyUt06hdD1hGubeycL 3FdNliPVhXGOf4/yeXVWUP/idw2qEsZHm/yXQVWskBf7VmQqIoKQ91osZiJs +HbTnIsjn1jqcTxHPhu21N3uzFYSBZdmkvUlpc1Yen1ENKlXFEmWE8JJvZvB vNNDgMdPDOUdRmY8fuzYy76u2pVRHKyPp5TdGDkws2+x6+wtcWT+2T9/9hYH lJe5xx0TJHAr9kyNY8IWjAQY9LlqSUKT47OWmxYncrJ/XfT9Kgnmhd4vvl85 0V/wXrTo2lac+h0kW3SNi/z7cR4UPyCFv9InIyQOcENqdGpUTEKavK+aSTEJ How108494JUBI63zgwe8vDicmDHNwiOLJKHjt1h4+GC0vUDZSVgOXUarJ52E +SEgHiP7Q0keLyWj6H8oCcDi882lvQwKSPpy3sSRQRBhrKrlWecVsPTNqCLr vCD8Hg5ymawqoHY+dYfJqiDYKwbWJp5RxOi2So3EM0LotmAfOr2qCJ9nBuRT CLwJinFSFUoIjaNvkqoQRnYt7z8Zp234dzjKR9ZJBNdl9YTvsirD/MdZxbus otjrGrOVd0AZ+9hXy3kHRDGeLp0SnamCbZvu50ZniqGdMVNrp4cqan/Rde30 EMfowd1n09XU4KH67UWamgR0z9Bb32dTh7Z4T9YDNknkSFwWcO5SR9lrzXin LkmclZITqiNe2kHtFU380eqrCN1jdeQ/N3vzinhyYVLCnfia5t/3Ko/J/RzU sk3EG8ZjPsUTzzbZb2PqVodrp8H3N8Q5g+k77xBnyNrxDHVL4hHDJQe/HnWY TqLGr0cSsmc8Arh61aF3U/c6V68kxCbXhcwMqoPBLkh6ZlASjoz17o3P1SF+ dh1143NJGPJ/F4+ZUodWwXznxSlJfNmRmb74Sx2CTfo9i78koZspw3qaSQNn X5hJhDBtxauhM/VsEhqwTEz+wSaxFbOm7sn3d2jAxq328f0dW6GksZ1uJE0D TDHJ+c/StmJ07SalDbMacF+eO7d+div0Xr944ghNSI7EcztCCsE5a2uHL2mi SkVEf/iSFFhPDWs4r2pix0EuJ+dVKcjf1jTw9tLCurmuPm8vafh75OYu9Wmh KqWcYblPGnfUr3ILaGxH8NfERAENGYwe6KgfLd6O7ZdHukaLZbB+a/3fwEPa OJpQfzXwkCx4JpVsIjR2IOzu9/AIDTlo1dwsFKbXwYYnQc3C9PK4c1rsfvhb Hdya8BkJfysPt8A7e93cdXFt95Krm7sCxDJqFDJWdPHLWWVDxooCooaUS3IL gaOSS1vyChXx2txEudJIDymev80rjZSgUid7aGVBD+0JCskrC0oYkP64+qRi J4T61Zn6KrYhqpj1paOXPopC70k6eSnj7UzwSREbAzxef+mmsI0K7pmFVBpz GmLjcNJhE05V/LlSeGQ3sUjXzuvBCqrgN6ffZkJcw52YepNHFX9FXBcpzpX4 6fuI3J/uXNNsStx2LfjuPuJbnCuhZsRsf2rLLYipw3KoLYjHowWyzIkf/lWL 3UP8+mffLOW6QvWBXldircSsvQ7EvpO5jEeIp/2vJ3gTG/ZsKN3AZQhlnYmL LcSmcik7i4hFb/7abMOlishKz1UfbkP8fOeSdo5bFUc9De9v4zHE1/6gW+Zk vcl1vQkrxNTf60IXiOdNd4oM8xmiVjrBu4JPFfXdG6cqBAzhtHb7crGAKuI5 5+9HCBmi8Hu+dISQKjam0jx1EDFE1cM/7xxEVOG36bVso5IhOu6lX6hXIs97 06sL6hkiRHvNY149VSzc+jqfZmmI5lnLyGRLVUx/PFIg7W0Iu8cSoQreqnh5 I0R8LNQQJltbG/pDVcEb+Hl0LNEQT3fJjL5OVEUEg/OPmSJD9LYkNb4vUkXC EPPZdXWG2KQnvYm6ThV06TJJig8NwSeYqrftIXnfaRFL2VOGcLxANZcxpQrL Rn4foWVDzLz9aim7rAoXbpVIinvKUvwSNFTR9asun2JrPd7MpFRVPDjv10Sx xazf2fEOVagMYYjiEdansowvVXFxQPIrxXu9v8UZfFJFRimTqDCxC5ec6cSC KljJzwWKR7d3yvT+UcXJ8+knRInVlrZwUpH57d1lUsSJPU9ueyBCfM1TokSL +OTrUkNF4pd1Ks17KOttsbYwJP7mOiixYcUQ9B0y/FXEfy9y5N0hNt5/JmL/ iirCojhu5vwjvhBLW/NPFTt+Lg8ErRqCV6WN6dqqKt65R/2xWWMEcc7qLdZr 1CBZEfI9a60RRv76a0atVYOB7KulcSoj1Ke05ryjUoO3A7bw0xjhzEfrakYa NSisUN8zWG+Evh3PT5msV0ODp0reYVojvEnJizhEq4ZZCdaqDDojTHbPtGbQ qcHYl2nEiMUIvudlHY1Y1FBvpfRjaYsRXjouH1raoga6E5vW3uQ3AvW1fSG1 /Gp4HKzQ3KxmBD1Or/Zm0nnqHadjX+wxghHn2YKXe9Swb0EvldvXCNY6HTXc vmr4Vr385XikERjc6NYFRqpBOqpHVHvACB/iJi5vH1ADq4rL9Q2Cu1C733N5 vaA6quX+To0c2YVL0flSI0fUoeG0l7Pm3i4cCH9RUH1PHfuuqzSeEDCGkp7U qxMCGtDYlqtTFm6M3JQn+mXhGrj/742QyWtj3L/P88nktQauLa2f9NDfjeZW hv0e+ppYKkhh+V22G2YsKYV/yjQxUnnVhYHJBNN92zPomLRw7/C5MYq/Xmys hZ8WTM/yWTISc5hKVfoLayEwMfAxxeecHooIsWnht9UdMBEHLtdqzJLngzip b1Ncft6hTJu4TTehgpnY4JZiOzvFhltyWYgdw3++YyGW4zmzhoe4fkw+jINY S/a9pyjxy9tWQwLE96Prnc8R58enJVkTq655bDNFzFX3NbiWmPZswM9bzCZI ZPzXY8KshZ7+9uwEFhM40SV4CrNo4ZBnlXorqwmunZvX+sCqhZDCS+9n2Uxg 97qke5Ws3/Mj52UudhNYxPHLMLFrIXEoo1t9iwlsuqnuqGzRAsvDRn4HLhMc XFJ65MClBeoc3/wgHhPwV1vXBPEQ/4i4ESlmggNtfbfOiWkh/8vn0DR5E5Tt +eKWKq8FRNLTlGqYYPKJwUyJhhYOKnjggI0Jot7qJB6wIfMvPWrXOmKC4D7/ LdpHtCDy/W+BbKwJ7pYpVcrGaqFj9vcPjRIThAV/EdYs0YKEdhWX5ScTvI1L n9vzibyfH6bzXEqm8OW3KuZS2o6gmNMGmcGmiPXvp8kM3o6/VszDne2muNX+ 80xn+3Zsu1tyJlfPDC0vbgzl6GmDr0Xb6MZDM9h+j/KtfagN3hK53cwm5mDm uBzAbLIDFvH0Tx4OmmPLjdKXDwd3QDGgXX/C2QLdMxsOTzjrwFFsw187/j04 R1M5a8evi6WVg8suKXuw8fq97y4puthzIfhL7gZLtDmqk0/AbOLsddEIS3w8 FpghGgGEF010Mf+zREWF4yDzP2B0d4bXqTArCFwvlz4VpofuNGePQCpriD17 vjOQaid617404Y+1xp9lfxv+2J3omovYn8xuA7d57vBkdn3I6Xy+8q7YBr3B eZbvivXRUljRo6FuC8PEqgYNdQOYyDO5lz+1hfWYpUz5UwO8jAist/SzQ7SA 7S9LP0P4r7nzZs8me2TNLJrv2UT+3y+YT1sSH4jQfJzHaAT91rtTVsTlxWp2 58l17Ysyk9bEou58B+yIo3RzXtoQm38/mGtDPL+W9oUtcfq/20dsiQdK3ozZ E8du0PxKuV/7RNuzvcQxkRozDsTD1K63DhPPXtV66UFcWMuUFUEs1Nx3K4i4 NyP6sDq9PUbYf3C+JNadLjf+RtzvLPApjd4I7l+XTXsZ7PF3RNVjksEIIheV HMsZ7eGRwrY8StZvIkhz5AKTPbjK1brOMxnhsRa33GNme7iI/ehtYDaCj3HK 6iZWe8gvH6bewmoE4zs/Xpuz2YP1mTSbDpsRchUVFI+x2+PmSDR1ELsRRmlb bqZtsSd9FzmbSrrJHdPvdYvLHq/0lQ/e4jLCjkmDv1aC9khwagiwEjQC+5xU wHdxewyrhr+eEzfCOWW6pymy9uS8mNVOkTXC2tBlgzhDezzfp6gdZ2gE2rmv JYWu9vj4zPhakasR2nXfbnp6yh4nUuw5n54ywtEHi+lcqfawqJHO40o1wtWp 7IlPk/Z4cSbH+NOkEb6dmWVpk3MA59Eai7tyu5CdoX4xM8wBh07mdWSE7UKX k3LOiacO+J0nxHLi6S68NktZPi23F1nnmbeEyBmDKa5u1+fEvfjwbHXb50Rj eKbiZ9/cXvQ5S7c8nTNG1ZhghKSNI5RoRsYkbHbjpXJdyr8mRxgPhhmvad4N 62LlJ3YCTthfbx5sLWCCC5dej1McdkbHrfWgGfmdzfGB4raKkbRaL1P8OEy7 QHGq2rdTniMmKHo4vNaeWOdudXJ9lAn6hOIZKaYybjDKcDABvdG4BMXPjFNu J6qYoLOTBxT/fehYvyhhAhU/V20HYt+rayImyPxs2QUae4lFP8dccyO2OsO+ 2YP4dVjBbhfi8W9JXw8RD7hcZDlILOXJd+op8V0xn90FxHIdzNRKgk74ef1V 3xpB0m2tM9wbhZwwZf3pcj7xXdE09Slib9c/TYFCJkj++kOdTcQJl7l2yELE BMLv4o0MRZ1gYb3e117UBBG3tnoEizmB1/sk41HS0bIX2x7dk3CCouY6+7tk /RI0Ro60Uk7gHFRqopUywexxe4E9Mk6oZ1Xm3yNDziH/flNdDSekdwlm7CCd PVzmcFXV0AmnBzxLlA1NcHbstdg2ayfsyXssr2htggr+xvXi/mT+9WduiPub 4JTGsZBtMU440ZCypBxjgn3yWgVOxU74E7Ity6mYvI+esJiCNid8/1xaXdBm gqMhljsXqJ1xLvg98wK1KeQSlnfP73JGSemPnz93mWI+kFUnP5FcZ7u5kJdo ir9L39q/Dztjl1WQ5/dhU2x//fa7lN0+PGONVJWyM8Mrv1nz0uf7cLR10Kns uRlYBR8tH3V1gXl3M8cxV3Pom1SYps64QFH6JPk0R/PK3rvsAa7Yyc49xh5g gbQe1g5/STfYB3RX+EvugYOZ+JOZHDe4PUxtmcnZg+77gaNxzO6wOqbyNI7Z EgrftK2OxbgjRn5G8ViMJZTST5hfX7cfbDxz5NMK4pNu4fui9mOz4Jjuvigr vHgghnRaD3TTLnKm01rjS654/qEkD+T+/Ek+rWFanG62hvsANizGuK/htsHz lJ57PmUHED7e6OdTZgPh4lzhB5qeeB2fQP1A0xadVXKu0gOeuLG6R0x6wBYP vs1tbfXzwkNjQ49W0uFkZuGVNDpvFIpqe6fR2eMgddtqOvGA8Mk1x0nXtj/e TpVJfOhFb3oluX6qopkmi1hrnY9yFvFQkuqGbOIlmZBUivefrdt4ifh5zmpK NvHJyGrGXOLc7nT2HOIHdaVs+cR3DXO48oiv2QYZ1BJz7BBXLyWOKHUIekj8 Ruy0Vwtxa5CNWugmbww99p0WJF0WzvyzrETvjfU7ai6PEm/v+83CzOAN6vA+ TRGy3uYtEwpfiAV+W1fzkA4f83O072b0xtcrW2O6iHcILBswMHujhG+C4S/p soAbldEeFm8svCzjc2Kxh+mmvw5prN6Q+TGQFUm67FXvVNC42RuCrrtc7my2 h12CD8cLDm9Md4a8HOewx84ut/Y1XN6wj2u6vYZ0+AvzMkuxgDfYYnUjrgrY 43DKz93G4t64kLt0YxfpsELg0KE5GW+slnoNfpOxB/emkvXvDbzRte3A4jsD e9xlmoxYdPHGnM3z079cyLngcGpJ6JQ3ZvQWVoVIh4v0wpMPpnjjKktd0sEU eygV988aTpLvpyF6jyHp8KC1SLy43EG4HQluFyMdZtgb8Ygu7CA4BwJ/byQd vi3k/mux7yDYgjd6LfY54INXsc1vWR8k3Bvx/C27Fyzu0uc9E32w8TiPnyfp sN1jtr8753xQmHatXp90eHPqlOYla19cV6pNz7Z2hPwznXe+Tb4QDM4NP0Q6 3Fvjfvkuvx+O6wkcb+F3wklvsesUf3Nm/cQj4oJP3aytFI/7bNzwzMwZc6xV XRQPVo361WSQzuwVfUbxik3ML18zJ7ysSnpNcdKlwAtMik4Yq977l+KWGs1Q NdK50mxBtjZiDerPASOkm0eEXtDdI5YdiHboIvNne2ZRtRM3rT/y7B7x+Zcf r3cTR1tRv3tIvKlLZ98w8Q3N2MSnxNs+OoioCPjBQfpxDw0Z7551z2wGccxx i2RP4vHOhD+HBMn+XiqHrCVd1tz7h1FfyA/GPo1xY8RB9GqnTwj7YUh07NoV YdLlX5d+XhPxQ1hC7qVmst6ivYPBY6J+UNk+ldBHuqxr1uLFKOGHwhmamk2k w1aMfRH6W/1AfYD1q/5WJ9RFLXWflvbDqTMNHaelndAvGb1CreYH7VavLCo1 J/QFLbCn6pHxDftCkvXIuZDnzCFm7gdf264IEXMnXC893d5z0A8ig6yyvQed 0D7YdyQ+0g+qFnLdCZFO2Bxcp+ld4Iegw4Wy3gXkfWq0ajk3++EYS62tc7MT Gvl1eML++aH2ed6rM/+ckGAwu89U/xBsNjEumeg748bzmtqu2EOYrFDc1xXr jEGuU13zA4fw6Mcb1/kBZ4zH5scyWx+G9tGBTibrfYiV4qrxHzkM2dl7DUdG 9mH0+YQll7M/NqnLeHA5uyBAVqqD+60/vqVZ3OZ+6wIVtZbgM/5H4MY0HnvG 3xVjPGoqX8SPIsRshuuLuBve51yzarh0FOo0l7Y3XHJD10sdvmqmY5j4+o+5 mskdkcPcGp8uHsPhwzSbP110Rx7t3KcL6wIw5Dz+4QLpsPujeoHsqABcEDCY yCIdbmO381HbeBy0e45oq230QF4SG0NY8nF0WD7YGJbsgR9UElQXeAKxxOPJ eoHnADg4pBd9KgIh5aee61NxADd8M+wMtE/g0VVqZQNtT5QnpVsrD59Ah0Lw ZuVhT7DlCs5YHzmJhXUsfDZHvJCjemG4nTEIm0teqLWTTlWGuXyleEht+vvn rd74HstL20GcplE57EO6dItpVIhi/WlWJl0mb3zhTtGi+OgAC+8QeX6B3cSW 4i01LTkPiNM3tF2k2EJwPL+D2OyPUivFpS7x5RQLR96++4DYIyr5/n3iNA29 9kfEnxKt7j8knv2XPT5O3Hm6aaif+LnR2vmvxNYmLp/eEmcd/dhbwhQExcYO z91kPWIhIZXOzEFov9mss5Z0dkg885kGSxCOv3q8ZEo6G6GbvnELaxDKNBcT Dch+NvjJG8wT62ffOvGDePm3lJ3a5iCM5fEwiZLupmyJDz7NHoRv781tothJ B/tfVd/hCIL/e7epatLhhy6V719zBuGgctS1GU5v4Ayn1XqeIGTstdy8jscb osEec1J8QTDMfvxOis8bDfE7Y56IBCFcvWu+V4ScW/Z3NwZIBYHv2fpDx6S8 oVPiGsCpGISwbqXhLYreUP5p58+4OwjbougcGXeTc6GhyUjAIwj2rqe2C3p4 431dAI9JaBD6/b6RT2/UqsWuT80IQrNX+9rUDHLu3Vh5H/ImCOCr2xXyhuzX UkrWW+kU7vsedvFSOoj8Pd7S9udOocHZaK/duYMQXROsYzF0Cpu7WCrMh0i3 Rd6EuCsFY//yrhh3JR+oZzD3TqYGg+n4kZrJVB+c5hcseTofjJhj+c798z5Y eJIar+pwGlomD6ZUHHxxw0lMmPvOaeTnLLTw3PFFhNQq41mREBjl+z4LJV2K k5Pko3h7phndvs/+0E9dK0UxS/jW375Mh+C/PUaV4rcq66V+OPvBcs2KHsUv KhyVzyj64eEnPwuKu8ucbT6I+6Gf1eggxcPC9jp/yPjp40IRFF9h2K+aQmzN UR0cQdxTFG0UQRzhoB5wjvj1/qAliv1GKyTiibN8y62iicf7BF9mEG8Js1tP ef7+xZD5ReL03Wf9HxHb5igyOIiGQPIT0wUJ0tW1MvU68mIh4BfbX3Gf+OC3 qVPrxUMQY3lnMkfMD8oP5c3UJUKgGP8w15N0N6S5TN5XMgSs/GvzQyX98FZ7 lT9vawgmGFd2pJIO812XaBuWDkHfw6lNg6TDKsrTCQxyIeB8/usHgxw5t+QE 4wwVQuDe2BBmqOAHoS5uiX9aIRh9JHBzWcsPcxd6n942CsE79ZuizUZ+uOx3 IDrUOgQMW/mnT1uTc2jSfZOSfwg2/tUJVvL3g/CbMxVrY8h4mfM01DF+WBTa FvbpagjKGF8c+nSV7M9Itejb3RCsTwq69e0u2b+zrDc1TSjUxrrFqWkOQU38 mOR941Dyu29NR4fxIXBf0UlWSA4FTxCXukLyIVxy7DE3Gw3FNGPVtOnoIYi3 9aefcziDyYKnTyIcDiOfJ7zh78QZxBz+1bQ0cRg0oesH29zDsN788GSbuz+O LMyrv/gYBk1PetkXH/2x2cDO2zEwHH0qcYGOgUcwFxeo9W7rWYTdEOR/t/Uo 1jUrvbiVdxbMuxUe3Mo7CllLX54m1gjofBJnaGI9hhd553JW4yLg2X3m+Grc MRgcdc0rpj0HYRfNrGLaADDMrpCCnUOy2732uxcDsH9B6og3fSSmObbBm/44 1n59xdqYFgnfxRSGxrTjUJF/876T/zxu83MvdPIHwv2ZWkZ99XlY8Qao11cH gtc6JjpbNwr5n1/vz9Y9ge/NTLNJo1G4NsdSnjR6Aj0Hc282BlyAjXb4+8aA k3j2SrBIljUaw5m318qSTk2z0dymuIhX/gq7fBD8bB8PUVw7c2haj3Sr2j/+ C8WGcerGNuR+HTeLDXLENd2n7ioQs1iwClH8UmjWUI44XybbhmK7jWHbKa6m 479IsVAZ7ymK/Z46xCkQRyk4xssTr29PS1QifrdcnKhIrD4+W2NIbD1/5fJ2 Ys8I66eOxG3mcu17iB137GpjYYtGnVWT8S3i86dn6ruI7+3O1zrMFoTnEbn/ SjZHIySqUbKZrN9bWdkqkj0aE9/fP68l3U374VvtxhGNse7dYy6kuyWxOnNX t0Qjaf37suQtQaA7EmowwxkN5rZTvD9Ih9+0V1dKcUejutV2gpubrDd5jZsF bzSkU2n5bXmD0GdAbRTIH432Zd4Nx/mD4KP50+2SYDRKuPfaXBIMQsDjh4e0 JaLR5yI8sl0iCG2lbW5vZKNhw/b83rQsOQcGDmnHKUfDMoYlP1aZnEPndxSd M4vG1LcNsefMgvCw7exkulc0bpc6DGZ4BSEvjY+zIzwa7h25HB3h5JyL5vCm uxQNKVpzN7pLQfgZ1Bu7diYa//i9ZtfMBKHXb8Xgr8pFVK9lO/FH5RTS8ps+ /Yq6CGcT3y2/ok6BU/DM+MrIRcxxLOqtjJyCcezTj3yqMVjZxLDApxqMds5O 3YrMGCj1ZAhVZAZjvGanbdnvGFBJKdKV/w6GaX1iNZ9zLLq3f1jD53waNIwS s0ztsYg5GhPO0n4aaWn0Decl4tCw+1pYBOmUH9/WRooZBdKOLJH32mox10Tx 9dHbYjwnIrFu9NxtirvaNxc/VI6A68v5FooZWN6pyF8JR9Sw1R2Kp6nlb8h8 OoNXP2fbKL44cXmtrUcohDmPd1BcLCO260R9COitzCYorkng/LhBKQTaZfzz FOuPsRebkU56fNP/HEX8iY6NMZqsr1/B7+0F4gODrYcvEFuWfMpIJvas+tIW R3w06YhRDmW9w8+PZhAP09qqLRFfLpbp6CYeT0qXdJaMw+gvpTppMv7HezPB 27bGgfV80WAnseLm9wN0UnFQ/GYvUUi6/OMl/dXt0nHIc9k15UO6vGC675y/ TBz+XFUViJAJwcyjaP8i2Th06xw9nSkbgq92T31H5eOwvOdL1bB8CMLm92Uw KpH3u8ZoiZHszyJT9KuBchyOBPRNGiiHoKg75cRznTjcEnXbMKZDrvuwzR4z icNGjwtGR01CkDd134zJPg4mZ4dvMNiH4N+nXIP2Y3FgfrWtqv0Y6TiDlnlC fByEWa9fTYwPgdnuTRHHS+Pw1OXt4eOlIbgmeuPX8Y44UN1s3BTYEYKVqycj yzbE437JI92yDaFQtlvOjDGLx55MJrkYs1DodwZOcabHI8b0QxRneih+LjOw OkzEw/Pvwav2E6GomrHYXeCcgPyEHRH5zmfgVvf9qsRUAjgUp0okp87A5+Yu /PNMxKXFAtN/nmG4rMYQIPM1EZ4fpA/IfA2D1nBwfeupJIQHFbS1ngqHWQ7/ I3mZZFy//qBUXuYsnAa4H/IUJoPt2foqnsKz4FDK8lRnT8FBeks7dfYIbDKV tMpLTMHG1g1SeYkRoPKRH3XZlIrkMvYBl03nIJka9C4rLhVKh3/nZ8WdA8Pq d043pjTUlP/96MoUCS0b1jv9mWlokWu/1Z8ZCU3+oH5q4XQc+NL4klr4PD7t s6TdXJsOqp9GFWy151H9beo5r34GFOJ163n1ozAYY31GcyIDGzoltDQnorBj YWQ+5mQmHswNS8SevABhRlH6rRxZgKfVIUnSsaZCWnGKFwsSNTxIR5Kae3Uo 5j976eBu0rWRvKS9FFMlpXEok/vzA62OU3y4aLJzK7GkKXsCxa9EXVIpdl/K uUfxyNTWKxQLVwrOU2waRz9JMevlvb+kiT2m1v2SIn5zP/WvLLG019AfGUpX H41y6xGbh3HTqxPz2spp2RF/lRWSMSX+16i0i2FLFrJkrnXUEpscnXZ8QCw6 zjp4kKx3xdOz8zJnFgZebpuv56Rc79MO58qCyTGf3mquaNhnjLQ4c2dhgwLN O0fSD45Z321FPFkw/DMzE89DzjU33ztveLMwNW6c8ZV0unTczUGCPws7Ovoi t5BOL3f2eZoKZqEvkV/UinSac898yTHhLCxdaj9wVDgaN0cZubJEs+D9O3BT lmg0FJMb+bZLZyFvguqCljQ5p9BB90YxCywZXT7TitFwXbw9FaeeBbVRE504 9WhsrA38dsEyCw9SNMYuWEajy+PNyzzfLAhuG3ua7xuNmXc/u55EZuG277FH TyKjoRpT8YQrn3x/0a8fcuVHg5Eu/wnfJ7J/E0EZvk/ReLytLkFEMxvdXOUt wpoXURwT6i4Xm42frxniZWMvgn3T31JMZGM+wIkJExexdc6bLUDzEtLmb/IF aMZg25jWOqbcS7hT8uYtY24Mhr2N5vlWLsFgLLKMfyUGS4qd3sVuOdjlUtp8 1S0WC+nKa8se5iDuYn5m+cNYsCdG+cnJ5KKP+5eiNOnSNa4N/hTztB+O/+Wd CxmfZ0co3mNwNfV5WxoUuq2PURwdsLX2lm0yrkTVBFBMp+rK0FGYgGCnP8cp tu/T0WfSj0dpZ+hJik15h1LCQ+OAX39PUbx6LO+b5s44pCQPp1D8N2ZnGyvp oJd7dQXFK8FV4WpkPV3aYlflifnSrZTkibOE83MViL1WlPkViJuWzPZoEt8Q ORCkQrzHlGqdPvFhoQVpHeIBwd7NJcRag2qJgcT/qubE1svmwvhWQeEzYqMf 9bkviX+Ff546Rua/f0qMs0EuF982uzkay8Uh/fD7rTPyuYgzYDixWSEOm9cP G3Mp5kK0IG9CWjEOsjsKT5oo5ULB928kSKcPNf1xjVQm85v/vXKWdDp9sjmo RTUXMye/TrSoxkHsYf+dn+q5eH75WM1P9Tg831pZl6ZP9ut9F6n65ByM2Vuk vofsVz3+j+qeOGzxXI6adsoFy/iLt1NOZL6F4n25J3OR0NrxIPdkHDi6Zsz9 U3JBXXGm+EhKHK5Eahx3qspFKOsaV6eqOIiG7Hq7vzMX0roHfu3vjAOPws7f efR5cBfOqc+jj8f5ttnkSKs8NKjSSURaxePbqq4z56U8hHfdWcN5KR5b/UG/ byoPiWsr8pyn4vFH1Ca62T0fz2v57zS5J0BPNuzC3nf5qLwdHu34LgFTl7pl jfwKkM0voW7kl4gYqut98T8LkPOwqy3+ZyLGmKU/KocVQum27U/lsCQYbubu W5YrwriT1vVluWT8DFUT+nu5CHKHr2z4ezkZxdrVYZKcl9F64q2/JGcKihZO phWkXMbso2HfgpQU5Hj51hxnvALuQ72lxxlT0TU33NGWeAU7eUZPtyWmwumz 2pFc1qsoLL+lk8uahpMlJWsFc64ie3nor0BOGoZe+YR4ixXj+2Opi95i6WjO P5YeX18MMd13KvH16RB+1vmgwqgEUkwFBRVGGbhGe8Lo1asS9E4/onn1KgNa l1KE9E9fw4kFVhv905nw/NQv9JerFD2spyP+kK6dq2/Rotj/9oVbLaQjwQPn bSn++6WdJ5l0Lni32RGKcyYVlVbI/Qn32GMo5pZWS/9LnK366grFB/IvxFPM K3JkhGK+d6l3KGZjXkO3RDzxI3eO4uO+5QwrxC7G7vTLxC++W7GsEpe7vGH+ R2z0dkmFjbsUdwz2iG4k8y963XKUIF5/ZmEXH3H+/p/nXxH7e7LOnSPuSn9R n8FTioNKX3k1SYcL4xoMjvOWokv8z4kLpMOD0ien9vCV4pJv5olwviyoCo6e k+MvRXaEbYUM6fKq/1GFAIFSXBM/Nu0ikIWIz0FzDYKloHa63XWPdLrAMrj9 j1ApdB1VZj8KZWHemV1FQLQUFYXXfoqSTj+NPD6hL14KE7GUSzvFs2ChMlDv K1mKPSO3rvlKZuHGvys/meVL0ZBr4cQsnwVab02eZpVSeP8pDG5SycKaLBEZ j+2lkF9ijd2/nZxDdO2O+21LIXyRaud+2yx8MI04HOpfir1aQq5n/LPw/Ldt RG10KRTYrMNqo7OQJrarbu3lUsTEr1SsvZyF2TP7X7N+K0WTiLEO6zdyjhSx L4vtKMNnW6+tYjuyIbpwwX5HYhmySgIitBOzYe5vYe06WQan3+y3XSazITJk HVG4o5z8vcIdV7jjEgRfcgSYFpYjitrY0rTwEoyCLfP91lZge9Jmy0NrczD0 QSqOyrMC6rcvvVjrmQON7XSvOLor8Gr4eQBndw6qk0ZRo1AJQz0a2kqFXKz5 0qBPcVGLQ4uX+3X8CfUzpLhO4vSe3JtX8Ptdj9H/3hR/ToW/APNTbMYU14Tq b27ekIfc5za7KdY/ebXE1Z90mXPQlGLJiFofaq1cMCWZW1DckTkX6UO6V1ew 9SDFDlKraxvJ/LXXaCIo/hWhV1xD/OZPavB14p7KnFWKR2yFAm4QCyu0z18n 5hu5KXGbODE+x6yBePmJ0cv7xLKletRtxOdlxxZEFSvxsknKd564fvd9pgvE 8uyx521Jh+t/LZftU6rE04XnE9+J5f+92aWyrRIRkZOnHpP1tXOXXPBWrkTj 99/P0kmXW0bSBy+pVII/Vf1wlUoustI9pHtVK8FWbqLcQTqd9IFRnkajEoOS a4+u1SDdv8Trvl2rEuIjeLid7N+87Ex7oDbZ39u82kDtXFR90EliMa7EdZ/H fMzGuVCqsNpTZ1OJvFOKFbU2uXi8OrTe0a0SfS17vRzccmHYHnCMI6QS5wp9 RjlCcpGjceD354xKCEoZmn3NyMWGJf6GlzcqoXfvYNHLG2R/263bP/RUYpl/ duhDTy5Y+03CFFmq8DWAQVORJQ9yJp8/i9tX4U6t7zlx+zyY1rW0dOdXQacw z7U7Pw9NfNvz+d9V4ezBtbL87/IQt+PK9mSvajAJPTmW5JWPOAWuuwaz1Th3 tv+u4Ww+DlaaGRkfrcEWla2WxkcLIK/sIl3yuwZdNxd5Sn4XgPbR308ekdcx 7Fm84BFZiLfDj4TKFG9g+tYVqjLFIpSGLr9sLr4BIRGhB83FRUi8MKyzwl2L 0ZUu+RXuywjsnv59Mb0W7TcWn15Mv4wkySbnQJab4HswbhvIcgXnj571GE25 iZwGOZ7RlCvoT7h3o5u9DlInfp/tZr+KRc36LO/8OtC8L0r2zr8KzaBf/F2S 9ZhKDZHukizGTtZv1Bua6rFZZ1PJ+qZijN4weqBj0oB82+f5OiYlcH/6rChx ugHO+0b3JU6XoGuyvJg57Bauai2OMIddg6JubvEbvkb0lL+kfkO6VlJgUUpx /nuXVJXtZfg58b6cYmVG7R3yaqUIuBBSRfFDqZm7AqRrLYtM1ynW+HVVgIN0 cMq9uJZi3nFhng9kvD1qT25RXPXzh+5b4iL6xRaKXQv/XKfMt25/4jeK4z/n D1L8qlFc5C3xr+aa9ZT7HaW5Jd4Tt4YeF3tH3N/DIP2BOF1v59YZ4orbuVbL xCEtKjo/iCe0tE4z8zfC4Xm713qyHt6xo/c7icW1GvkPETNctmYNF2jElUdl viKk04W06HIWJPefvbB0hOynu23LRU2hRpRUiYv5kE4v0SdbcAo34tGXpJMc wqUQkV+/zVmkEZkdIq93iZTC9+IXySLRRmh7rKOuJB0/mDAg/1asET4xYbbD YqWw/r1zeaNkI8a+FLYwkY4vWJxdkpdqxAsvkWY5qVLMMDyQtZNpxOdKTwE7 GfI+bRnCV5QaYSfn8X5ZqRTMAt7N1zQa4aJ5fMs1jVLol+57aanbCOHeeU1L 3VIY/5bwtNnbCJsAWTObveT7c2gdOhbQiNIYzYcBAeR9qzEaVsQ1wtGiR68i rhSd5ySfrxST70cmv3+luBRc8/uTeH82Yv7G1888P0uR1iHopq3XRM5ruoTt emXwohUp8khtQl9g6eP9qWXYlFx0PfVNE8z3buJIfVOGQ+ZbJqf1miFyP/PD tF45Uhp2MRZdbQatjfmXwqvlGOQbaXi67jaqu6x8+tdV4NS/QZcgn9t4Hbj1 xkmfCgS9Sq/K67uN27ojugV9FdDw+G1ioNICtXvJrHqkW5kbeS0orrWcob8p 2w7umMo9FAucc36tubkWts6/LCl2yR9TV3StQs64mjXFpYNt2hLelVA9ftKG YgftgAdFpGOtP37YUTy/O5aalnSQf/+RvRS/73u6z57M11BpEkCxYxRvpgGx 5oJEHMUhwSLnKJZ83hFpSHxslnODITHLo32hRsTdl6uojIhdvh5SsiR+Hlpj b0q8mBD+wZHYvekagx3xLf/f61qJs6TDg+KI5xd6RPlUW2DZPJH5mXgji/X0 PPHf9kaqGLI+3ZKL13rVWvByhPeBm1olorQnGVbVW3DpcY+rDOn2IWuvSEXN Fpje/CSlr1mJqsAn6w5otSC0aPdGR9LxnOSif7naLej4yqV9iey/M75XbFiH jH91b+ywDjmXLPVC6PVasCZWxI9erxIaNV7WV81asHTc6s1ls0p8OvyTU2cv eX+7YwO191ZivJKqb/JAC8aeqsq/OlAJ625bpsLwFnxWow4sDK9E7wtV/1M5 LdA0PdARnFMJegVemkMNLdBhlf3m11CJpssNs8H9LSjbSL0S3F+J4q6R8UH2 Vjw7p5M5yF4F9vdUtWNOraiJ4DIcc6qCVKI7b8KVVtD/nWqLv1KFbyJb+r9/ bIU6dYDr949VcA09oBvsdwc8TbInTvlVI+PcgQX9b3dA9Zlz0eBbNT7cj+Bw PXEX98N5BF1P1OBaVNHvgZW7oF349WFgpQaRF3cIlF1sw6uz1yTLLl6HrbRz n4vyPRzRZb3uonwDCibzrVGl91BI/+NKVOkNVD4/uPCKrx0NPprvXvHVYkBV Wy4iqx0ucuLrIrJqcbxvy73IzR04Z8/THLn5Jq4fcSv7l94BpaAx13/pN1F4 fk0yHdd9GNixuNFx1cHyYvvTe0X30REQ33WvqA5+sb+Oa8k8wDc117NaMvV4 nTCrk9HyAC+e9E6lt9RjWsqh8aP5Q5gaP0z+aN6AbT+shWzfP8TGPSKvbN43 wC5jX9J8xCPM7ctsn4+4hcncTy/eCXWi8/lrrXeka2deXZ6k+GfH0hMZ8yZs k1GfpvjXysyGh/KN5PdQ71uK121QCogh3TPtcJ+huC+2u/MLeX4icvEjxbNX r2W8Jx5YL/iN4ruHYl9Qxn8UYzxPcUSh9SjFfaUfJN4Tn77wkJFy/65H0U4U O/y+B4qfMLW5fiD+OETtMkNsfWHRY5Z43lt7/0diDEol/iNO0JUMnifWvnm0 iVW4ExqckVdpyfreaTcKdhMby+065E+sMlOZGCHSCRlfu1Ex0umaGmtfV9FO 7OqeKQognaY+9N5CW6wTy2zX5/1Ip+NpeLV5xDuhmnnOg0u8EWKZxx1cJTqh vH0/talEI05c0LlwVbIT70fn3GtIx2/Rb3o4s7UTtC6PZ0a3NsKN8/t3BplO PA9UuclGOn6ZrcJSWa4T4Z7fGbfJNaIw8vhbR4VO8IksPHNUaARfzAkHarVO mI6ntFGpNWJk23hDtXYnTnlXslVrN0JwTHZlr34nWK1jHPfqNyK40Pyn275O yDrJTrjta8SblC3Pzp3sxI3AwkeRJxsxHRTR1pbUicn1/K1tSY3wzct7uqW8 E08avj3aUt4Ie492Y/1fnZBwYyrd+asRUS2X6I8bduHJWW2NAMMmtN2IOFya 2YXQLW2Z1zKbcITX7MnbmS6wMIVuezvThAqeqxEGRo+R77Eaa2DUDL3tE4Fs ZY/RldFlzVbWjCuJFwVt6LqRWzU3ZEN3G1RVdYwM/t048GXOld7/NmSLK97s HOoGbfD9IIOh28i6ZWj2T6MHzssjbEsaLTDaGWNO8Z17NSdvan/H5WFNC4qv 9cq1ZS9Nw63p6v++cpAvQezwCExkP/zvPBux4d8GT9Dmwr2H4jmJosaykw9h bOX1vy+/eX1BWfseArgq/vezg7RVlUutcHsgaU3xzuWL9ecsWrAzucSWYo0F z6L1pJtvM8/7U7zpVmH+KllfZJ5HNMUjpoqR/4gdnnOdXSXep+hCQ7nOINB/ ao1mD7LE2VYoFrw3J09HfJOh1GYd6XLK2OYZNmKNmqObmIhfnd7OdILY+7hW iD4xy/Bd9RFiU6N9JSXEahsKeWq0euCgJbtVj6xHbUJu3YXtZP7dv5m4t7dA 95BiXpN2D5h9dH6+I123LPXCpx1kPHqv7ys7yLkYf+Ynn24Ptgkb/GTTJR3m LWW30+vBJeZUK2vS+UwLSa9E/R7U3/ndnajfgpOr398+MuyBinzd8CPDFnxS YDnrZNWDYNYCZkerFii6jK5b2NeD6haN/T/3teDwDedTaT49yLlmN57i04IV o/Ppdud7kNoR+9vufAs+eBkMbCsk419XFFMpbIHoVc5d0rd78PTipm3St1vw he8Gq/azHsR8fC6q/awFdMZd14q5e3FUZMW9mLsVMTpWps1uveAr3Pq6ya0V vzf8vBla2kv6qm4XWtqKnEdmiXNfe/Ez3Jtv7msrstd7LSQcfYLYV1+3Jhy9 A2uP1rVH55/gYmgU1bH5OxjP9HhRdLoPRZUv3hWdvov37t8mpKifYuy4WK8U dRv++KVHcSY+xeXciUTOxDZkOFsXSav1I/zdz7PSavdw7/jxx94V/bgz4njd u+IeJPraXowIDkAlMqx3RLAdwdwBGUk5A+ClxqGknHYYl9JZlm8ZxELlP+Py LR2w3/qNZXv2IBokdz7Wyu7A3y6ZC268QzA7LG7nxnsfzbajmxSKh5AZm0yj UHwff+7W1z+QH4ZCKVP7A/kH+K1caqzRNgzVYvdZ9bYHSJdWtCm3eobEmBjZ cquHcBW0E1KcfYbjNOteKcw+RGrWza4vUSN4b/H+75eoRzAtWy+zIjYK31OP YpdJ9/qk7spR/MrDyHlobxeuiNooUhz4hGbbTtlOFFp/3EYx75po0a2ki/1n wlQpZuGmlf9H6WYpmwbFNEinplhiWXsHxTMX/chznbDac3AnxXUSX9Qpdsxh CqI4QyrHheLht7cqKH7jNZZCsfl7neurxILdtNWU8fo2P65bKz4KvtdJtWvI /Fypcq/ZiTmvX+jeRDxaUsIoRTxkvea3ADFV5vWs18R/GDsHo4jPVBwUvyQx igDqqy7apOOv/23fGiQ5ivL7azxiScfV6f+p2G4dxb9JmzeRpOOFZh67t0mN YuuNK0cVpTqxPsO3IEh6FDkx9gYHpMn1gI80rTKjiNcdmn5EOp8+5Bu6Rm4U 2CqSN0feV/7Ji+skFEaxNnP4kQzpfN3miHYzJbI+ldAwUyVy7mqn3ghUHkV4 9JorgcqdkB7/p8evNYrXsz/K+bTIeBt52x5jFOLB93kfg5yTKifFgnaN4vN0 6bmTu0jnNUUDz7mPYp/oV6dz7p14bMVSV3Z6FO7htcXlpzuxwq+1+jFtFDdm Hi19TCP767x1wrB6FFHHfh8yrO6EXkH1obNL5P3SDjwOX+pEU1H/aOvuMaTd Bk3r7i7ETG5gWM0ZAzcNq+q/nC7oMzYc3v15DHvibw8Zf+5CtvrCaovJc/ia 7d7YavIYNhndLLlVz1H7NWEup+oxPmi2831hHAfDLruBL4zdeD32oqYxYBws L+pWbwV0Y/zrId81Y+PYvUdpde1YN07r7l7t3TGBx2k6Dx6Tbik7n137hDiA 9nHAB6XfoN0vREVxzVprN4OLE/hbFva/Xw38lXj27imO5/b/7xs0gvOL63rx o0yQmmL7PilTfrceDLLe+9+Fjdynn4GcA4dcaSgW/Vuhz6HTA9FX2XQUf3v3 r/wJmf+MxSAzxQkKLN97idPvMFtQ/KPFV5VynV/GIoHipn9HDlKcn9e29JR4 gJbpYR9xib6C7yCxK437tgHihvtXbs8Sx9D4pr4ivr0gtYlaZwIC6pvfLBKn 1LowTRBT3eyhP0LWE8i2k7tOdwKGmRabjUi3B+1jy5swAUt5b7+nZP2mLyL1 7+pN4FxpK8MC6fjpf+Ef7u+cwOHm9LT2nT3Q1Fth1TOYgOYiVbK0QQ/seHSt 7xmS8eo5P/aSrlfrZpbu2EXG2/qDW2ZXD07YinQ83j2BcOPLJ/t392DxhyCX rdkELirwFFmb9WC97WjVlMUE3n04nTtl0YOgz6Uf79tP4Hi+z7b79j144FV4 uNx1AnDZVVXm2oMdC54aKd4T+DUTEZTs3YPwTy5PWaMmULIaWMca1YOqtcpS 9VcmoHFyx66GKz2Q1uc/dOLeBHx/sx48ca8Hn44HNNq9moBgL0e13aseCB0T 5wjTfIEckZe2ZzR78fmTvvxI1gucpstTeZbVi0unA3/sX3wBa9XOeffFXmy0 +egsafcSdy/rlUrYPUFo/GHGsEcvsf1h9pawR0+QRSX8NkL9FSLSaTsi1PvQ onZgj2bVKwzfD+TVqurD0wbJ59VCk6AybeKsFnoKncBZ4TfZk0jKtpl+m/0U 8VWCR+Zop1Ccy1f6lbYfMi2X/ncin1Rsqiu33gmDD/9b+E50lDUvi57IAM9R ikUE+VQzTqzXU9bY8b9lbrvuu7a0gvA22/9d9l1pLe3ZedglHP3fbvtc1hY7 zaBqLuJ/t5hZGG0xf4VtYW//92aJl/dkZAcguA7HKKbW+DJoKdiPU5zPAyk+ cKtmk+jGfuwVPHaK4t+7wt7PkfU6+bvnUaxcXB5PcVWr5T2K63RmrlP860W9 xA9iqrHI49+Ju3g5k34SL+unTfwg9ty3mr124xTG/7Cn/yU+/+HHFSbisUz6 Aloy3wRD1MNE4pfCP7ZZEHvJbvjMQDcFfdbTDn3EC8UNraXEhxezWRro+nE8 TD8dm6bAtGX/O/dN/aB9yX9sgthjolx0nFhvR5d4K/0UpPSWHtXQ9+PeYe2P eQxT+GSf61vM0I+Cc6GNZxincN5wpiWAkaw/tP7gEtMUtJn2eawy9WNng6p2 MMsUrL0f7zvF0g+bblmVX6xT+JrAIP2Lleyn8uunjC1T8JWricjY0o+oswWL KrxTuCP+MUqFtx+vXxTYjgpO4aZN1tsR8n7XKCwGKSpNYeqUlreiUj8U3oQb FOwk69Gg/1Kwsx8JPjaDfLZTeJL35SmfbT8cIvOUbnhNoU08RuaGVz8aEyyP T+dN4bnpYarpvH44fj/R3Tk0hbe2z9Q6h/rRzzUQvX/Ta3jMDP9w3zSA2iJ+ 6oadr5Es7p1dv3MAPuvWyA9GvcbtoztVBqMGYFend/Fz12vojd479rlrAHKh B8c3MExj76n1drQMgwhbcVuWsJrGa67Q8xJWg6AONhrdkz0Ne76Mz5bk7xA7 31nHC5PT+FQULXp+chAFOalOFN8uSN6Qt1FYT/T87//t/ilPfmWCXW9YXM2Z 4qFNd4ILXtHpDZ1z+d8ngy7nHpleo5fLdup/62yRFlX5toADf9L+993XJgm+ 32bQzHHtf6tw3n3sxD6JG+8591HMz7XnflDdEHTVov/3sCnr1ndfBnGUb8id 4qRS2eEisr66FX4vigUbtvVdIM5uY0+h+APnz2CKJyPoWykesd5QQnG37A2f i8TGqgOp0cSzq9ZbYomzMoN1Y4hzfTsmc4g5WopDUokn2nXKKolNr7DoXyUW yl5viqlp7BjvCl4kLhk7Mj9CHKj7WiB+ahBZCfJ88a+nQZXC/zL39SC06Daa Y3oadEybDb2nB+H6SSBqkfh9zebP88R/OB9sW31D7PI57dubQfCKhn7f8G4a ZjvMrjO/G8TTcu47zO+nofzq0ST1e7K+nN0Hh2am4ZOkxzQ2M4hwPyPtzI/T qFNtU8v4OAgmmZ3b936aRrmDjsLeT4MwpQm71jc3DdvZYMm+OTJe3IerBovT ePBFnd9gcRD3vi0q3yW/o47Kv6+5szSIqX7ualnmN2hOqb0kyzwE5vlXonWi byCg8XS2TnQIi6PzdeYab3D3nkitucYQDKSFAtaYv8Gevz9815gP4UDdAdHh hDf40qRTOJQwhEG6469O972BxNfk/zqu73io/zgO4M4OGQ0yyqhQGZEREe9P paVBCckKCZVRIYRoaNjpJ1nRMhKVXZIyoiQhrhwdZ3a44+zx+3zvz+d9796f 1/t993jc560R0PgT+N7znJwS6YW0ZzbZkyItIOG7/aSpeS+UdHv8OWjeAvxJ zzatTe+Fw1u3bl2b3gIaTjIMidFe2KBIb5cYbQGDN11KYESDEyTuIjBqhbCE KvOUGBqUTDMbkmNaYUq4TlCjhwYPTrfv1uxphYkbO1kcun3gtKzJd1GnDX5G C04S/q6aqi23RxGlOoSyPZZJf7fRQRI1Kn5mu90rT/6v93Ikn/2Pbe0KOc/u hyQkyMs7RXjqebV5L/8kvDgrz7blC830xIZ+WNG0je0Lxy99TJzrAt+JIraT eHpk9tXj/XROZ5rwZrEDEy+N2iDgiPYC4eEjdXXCum1wP30bJwnbnktwFQk7 q0FBi3CTc4YkYdUpsTOEf78cOUD4cZWbNRf2tYF39pzY9NKPpjzY+Ukrj3Fj 2zfqN64h8j0NXS6CfZGr+ogKNjlHKVoBO5l+0/sP9uuL+g7Xsaf3vE+8t70P Mh69va61vQ1y7r8rdtTrg4qnNtsu6bWBksSubh39PpBZKH/spN8Gt5myokI7 +kDzo5eRwI42cHf94bHLoA/8OL2Gtxq0gcLanR0Bhn3gcSBf74ZhG6zeRbJ8 vbMPbE0Prs/c2QZVPjsufzLuA7mwd5N1xm3wmnn2cwvqg7rOLdE/URs8+/J5 d9/uPnDsKtTp290Ggu3G84cO4vyfWs4eOtgGjY6n7hab9cEPxsxIkVkbTHWl MhWs+uB6eL2FglUbfLWciVT1wv3o//ZV9WqD9IQzfOYRfaBHyxo1j2iD8T0f AmLS+yDxlptfTHobvMhicg2W9MGV2PC5gZI2UBYs6uTg7oeaFAPg4P4F4zxd VNGj/WDx4KmE6NFfIBF5f69MSj8E3ha/Ip3yCz71cB1UHO6HkQMyxRuH8d7Q K3GxwmQA+k9FBlaYtMMiz+2ThZkDcHZ0aEdhZju4KOrtEuUchB82GXRRzg4Y y6EFtzgOgt/XU+Sfjh2QQPHw5/s0CBofjVj8nzrANkLwSd7GIejI8UrK2UgG q461TwnrHGz8sjZUFR3emcd27n83zkUKy6JMjnm2j8xGCtwsFUU1CUrPCF98 XH7pwgdOlJwJbA+9CPba7z4JLTG2bG8QbthfxDsAk4rebIcbje9q6cD/Y4cF nxPeE6YS7H6TDLcdMtk+fI4nPXwzGWJn414Sln5xFRXifOvjw94Qfj9+uTkP +1MEZYTwu+uN9YS5Q/Q3v8I+GiGx4hX2vF5zYAF2uuor83zsxE3u395g/7M9 +OQ1tmmr80I9Ni3uhssH4v2il1Sp2OpZVxPasJ89qbhaoDgEYtOSrfsVyZDZ d6klVGkIKkgPlSWVyEAp3l4XqDwEcfLuD2KVySCpqF3ru2kIUof/uuRswnvJ prZG781DUJl/J9kT97Mi9dCl7i1DQPGwqq3fQga7qOdqR1SH4ByZctRGlQyX qTD/Xm0IfKJSNuaqkUEiN3lRVWMIVPQTfbQ0yOCW810/ddsQPM2QbkreRoZB kCsQ1hkCs5mgdGEdMgTKxJ9MMRyCxz90cpMNyXC4ukVDbc8QaEd3+qvuIUMu +YbuR9MhWLOBP7jSlAz/SO0Zom5D0BtPviXqRgbziYRbwTeGoABlPAy5QYb4 qlhewYwhED7wjFMwgwxRq0qMiyqGoO/WJ52iCjKM/TjaLCcxDBkZg5JyEr9B 4Hryq1dewxCnvKUyz+s3GCv3p55pGIbkkUc5Lg14L1gTeHG/0j+wHjeo3qf0 B9QOHNNbE/8PVromozXxf6BapbspnIMOb5Ze5YVzdMJbJWn3OE863t8X1OM9 OyHeq3zvgW46NP2Vu7u/uxOkYqhfCsxHgDLjGfLGnALi78ROfa8ZgS0Xvboa aigwTXK2JWySplZebq6JjnAvsyMcbP4zcne3PPLss2E7emX9KROWGNr2+xbb hktNvTpCXMjx1GO2SWfLDj2RmgQ+n/dsD/ttdxWyHIAvZ5vZvin1/JnWFiqc sb5hTzik2FZbnbsLTKd0HNgeurT1yhcK7Lmt6Er4QLPa8WacL1ZK/ALhtDv+ 5t+xheu83xBOMqNGE97k+22a8A6xuFbCNOfTec3Y3RSN4z+wY2KmnFqxzf3t +Fuw5Z3bA8ewA3KZo1Tsu2I/4gVrR8Dg0TjfIvZVW87EJeyR08cSbtRSgGxW lTleNwICr01SrtRR4JjInRGp+hEY3JETqVVPgeSkGyaoYQRoh+x3hTZQ4PFk zgu3ryPAemQi5/qVAnv7k8QkG0cgUtrfb+kbBZpfSsfXfR+BfKoeve07BT7e MN7i/2MEDp7pl3X6QQF/Bcp9i5YR8CV7bbNtoYDzYTu07dcIrF9+4oHGLwqs qluhJUbG/YhEyomRKSCi0XmESR0B3eGT4QwqBfJvUWZah0fAYvyfXOswBfLa mjXfTYwAOXu3dfkErv+155Gg+Ci4LxsLFBTvAt6XlD/BuqPw4F/rulDdLhg0 OCkjbj0Kw9tLJcStu+DUbaFrPwJGwWrU6vKPgC54vnvp0h/qKCzqbkz+Te2C M3HPM2UVx2Bj2i9xWUV8z07bqRViMwYz45ufBtt0QzJLWSU6dgxWkvKqo2K7 wff2UBXpxxhsKX9ZR/rRDUG3Px5xFWNAwvUGfVexv8Din/D9ZM6A5+5p/z6Z Y7fX9EsmMECVM9hXMuEvNDzrPn2hnQEB+lpunu1/oZdy8dVnGSZwdgz8VyWD 73UCR/IJr2pusXZP1kU1Vflsu/88ltmyfCOymetkexfp96GQoJVoIGyCbbL2 v9I0dy4UuYNUQHiPaXW2OZ0FBb9F2H4pWJz1n/YgnA2VZntD6tPkIrFeaF66 zjbFgVdgvToV4taMsJ2j/q3Ray2+Rw7yFxFWbZw5Xo3z5ZeuLyOsuPU/fC4V mijqPYR/1PZ8J3yI20CoGjtWaHiasEB04bMa7AvZjh3E52V2quOdkInvvW0X a7Hjeqb2t2MHxWXuacJuKWs0H8AeH3I/3E3U/+M64reWCScCQG4rzsPx4GIU 3zo8n+iVFR+wjTPPOBZiq1xIDfi8jgoejrIGTrJMOCllXHBLlgqND1pkxOSY 0AB6D0XkiHpTYiLyTCjlHRLgkKfC1R1xq5crMMGh/0fIagUqrO+4pii4ngkV o15fFrHFnAeNyzcwoaRKquzDBip0OdmEeygy4Ss385a7IhV4hvlGpJWZUGgc TpVWpkLgO0aopSoT8rV28VuqUsEgfjjhviYTvHJpq+9rUsEw0ln1py7uL4f0 slmXCoJiJc0XDjIhLHfpw4WDVNjb+TxO1p4Jdo+cjsrZUyG4kB5O82FC1KjW NZoPFWg1Fu8rbzLhULNnUeVNKnQ3Vq5a+oS/D99lCYufqPDH41s3H+c4LPyb 0Ofj7IEE5Q8Vncbj8LBph3incQ+oHOk4Hh46DrtfK/8JC+2Bu2c01DUaxmF6 5yttjYYesLDdx7EgPgEl590G5sV7YZveKbFhpwmIv1qQNOzUC1IRT0qWCiZg 2jRYe6mgF26IvXcwIrHAnNYVY0yiwe1jUkF5ZiyIFYkUyTWjQXCo8lXCs/Rr 87qGhqj0yQO2j6/ISGK0KSGtj9VsB48/5upyXoWCBP6wXXlP9cytg1yo/t4A 2ybNV04vvWDB4dkptg+OMA78KhqC+uU8wez6Q1IRjk/wPdk9lO2jszujLU/R YOTOHNtpIr+W8ZjTQPpDfThhL5PGojycT2/8YQT7uY+2H+Ha+YISwn+urMgg /JG3foBwfOLKZsL518q+5GMP/Zxtf4W9Wikn+zX2o8K2sgJsr2KpS9XY+31t RN5hS7clGbZjPz06296InTK7bs81cxZwdI5WquA8PoZdZpuP4XnFrGpoxX4V ktM9ie244PGY/zgNNoim+H86zoITbW6uI9jfyx9KxFiwYOLo+PEoCxpolIQx y06wIEVIVC/rBA1W8HlTaJYsyKgJ/zZqSYMf34TJotYsuD1/di+nNQ3uJF4n LbdhwVi1+L4VNjQwV+C1WmbLAtPuVHV+W9zfsq+dPPYskAre1cRjT4M12gEU FRcWvNn87qiKCz7/cNwTCw/c/yNtYQsPGrS/frA11JsFnn7fHoZ44/pz2/fF R7Bg+ra0ZnwEDTyfHtL6kMaCRuSwsjINn7cpRoS7mAVXNpwU4i6mgWzOjwnH RtxP1tt/jo00+Pr4+NAl8UlQpIsfvyTeBz5rVNf42k9C6ZCIxWX7PrhqUhJ7 NmsSTD/6Nbhm9cGg1uClIxOTcN5vsO/wRB8srvTl0TGdguBE2+U6pv3w2WmF +vmnU3CvVn/F+af9cMv40MLM0hTwn+RJn13qh/8Cx+/8tZkGd+2okW6bATC1 pgpsKp0G3kMKlzeXDsDbAbHSVokZ8OhNam2WGITzmWfLCIcLzxhnByA0P97H 9i3I1RTcuQVt8F9TTnjpjKL8B5vVyK9cje2hjSqdb7W4EMN8B9tkNLr+ZSkL cjaZsr2I97b45XRI3GbD9uzR57k3mYOgV/2P7Wt2hygv1w7CP+3gd4RFP8u4 LOE8t+JVqgjzuz7kaMPmYpBrCd+UjLvcit2cmI1fn4Feal4vYTkI0CNcff6+ DPH+ttEH3u3YSaQ0i1/Y9U1vssjYa2VKIzuwC1y6yGPYZQ+sq2jYnI/WCfGt mYFzPenjc9gjnhYcjdgPWMU33NcMQvTzwtn7kjjPAO9VDclBeDmj9+WG1Aw4 yM6+TpIaBOdnYRm+0jPQoTOyMUt6EMg7xK+7ysyAuKzrOReZQZCf+WdRu3YG dO9yh73G/W7M+bZDSRbP//SKPk3ZQVBPVNS6JTcDOfUDYr5ygxDiduZdp8IM dBqnj/YoDMLujVJBWhtn4Ox8luy2jYPwzPX6xbtKM2BREu10V2kQKkd3/a1X m4FBtQ369WqDcOhlqouQzgx4gsVbQZ1BoF9WIx01nIFjT52OHDHE9TdyugZY zQDzAN+hAKtB2OvKWFZ1cQbid1SKfro4CANZ/suUomfAz7SARyl6EChdqjey svHv43dKYFb2IKxMLEm9tjQDEiYN9NClQbjCnarmYzEL39917fO2GALR6cmf wbmz8KTo5tDV3CE4fvaYfg73HHC/kI/P5h4GL55JK/lzc2DQw3Na/twwXJgP ebq+dQ6MDuteX986DMMMcdESo3mws3jaWGL0D87ytSf15szDN7H7vT05/+DA 7AbnV5ILEK2WJ1AgSQd3ce2EdbcX4LfjlI70bTrw9HU8ILzRwfGFfaUJOjHv 8h9hvphNywoOqqFzIYlsqw3J0/g6ViP/83lsj2gGbPae5kSVBuVsn8xC1OBN kxA08o3tu7pDYoNbxiD/SBfbjFYJ/QdiI8ApeSeRsEL1nNbOe3R41aT1kHAq pTNjK85zdKYrjfBeronz67CXK9x9RviAeRWdsHip/iDhb8KkGsJFR4e2yGLv z+dYJovtYVtTI4/NxcfylyM+/zTDcQN2zfMVq9djO608cGEndn8H01UD+3Ag f6AV9tua0ksHsS107F6gOwuQvF0q9ht2yH8Tf1TuLgDNbVVV8R06/OLT27Pv 3gJMkQsoDji/0rFNZU6RC8Bb17gtLZIOnO2/t4dELUC8sEFtUBQdUkc2mKyN WYBMnfFS7hg6JPNzeZTHLsB9s5sqX2Lp8Px18lPr+AX45HbOd088Hbh236uU fLAAEZZzwvIPcD9H8mTIiQvg1awU1p5IB8ldZmVJjxZgQCrqedIjOsyEi22R f7IA77JTzsg9oYOehp5odu4C6Ib9NMrKpYPyUpC7diE+/1noQ61COpjo1xWp ti5AoMPGRNVWOvxxiXTfx1oA9dmstP0sOuT4/Mq+sXoRvu52enZjNb7nW35P pmkvQrFbdCxNewTKdG6EVz5cBOsxyzcfHo5A8rnLfrTFRbjdstatd3EEIgru lFu5LIHibMcLS5dRCHY6+XjdtyXYQk/6s/bbKFh+qhr1Wc+BSvW2sXzWj0FK lmmJkSMHsmOcfWLkOAZajHHlmTQOdFw94uFM2hiM2jDqM7o40MS+33YZXWOQ xK+03ViOhMqN7mmCHANqmr+ItjqSECXsldhPRwbEz30XI/z+bodu235TdFRu 3QrCh1YsXjfs3IqeMnXZnoo9RD52QBx59SK2l12n5iAaJ3J8tJ9t7rettn7q U2C/4zjbM77lxXxWTHBytmN7DatRNvUOA+jin9hmLUstfHyaAdTPSisJ898M VfuF8yxEi0sQnlZfJduKvcaGR5rwZGDYOsJ7D1gjwn4SpWqEm/ReuhE+4112 grDRiwlmG/Zw3Vu1Nmw7PYOgduzuGLVion7OKZGOfuwUhezN3dg9K8e0p7A5 XsbcGsVevMnJd+00CUWR5NYZ4Hw6T6z/CDiRkIHAMUY1tunbLdkF2FQNDcVK JwZ4C14MsXImIZ8VdVcDnRlQ1el/cgmbbio2sICdwFW7fNyFhHhctqb1ujBg R/RkY98ZErr0wa935AwDTmxgJJNdSSjLZOJ9oysDLp5L3nzFjYQqtjn7XnVj wPKKPIqEBwnpnNlFF/dgwMadJ0qLzpFQrvO+vKJzDEjcrtBQ7k1CYZkuluXe DNDas+FIlS8J8XrYtXz0xfPqr9lTH0hCg+ee138JZMAF5Y68R1EktN2/NflR FANiH/FYX3tMQi81hUTCHjOgnSV9MvAtCam8DbIMfIvnn7RQe7uWhFpsbD/e rmVAQaXGp8OcnGj5smf7DnMyoaxBmdRmyIm6bPlPtxoygf6AxK0QwImK+MxP ywcw4dHaqye0iznR/oo8qlYxE9r8pEO7FzmRlb73ze5FJhzoGZdM3cuF1B1L OVP3joMXrwj4xHKh34KHqn1ix6GinbbO8Q8XeiCtmu7wZxwy2m+PXVDmRjEH tMS9lCfg1Pqbs2mXuVFqm0pmyuUJuP+lZo7wptygoGQzM3REU2aecA8FSr5e 1ETrNHTYflq7XHjRVxydVQO2w/sufnHHuXwd97HtVqjVPUWdhowHx9l+0KVp 6CvJguwAB7aZWcYdupET8PlPG9u1wp/5eX0nINrg0AJhVonWcBrOkzj7j5SO nR1ucCAdO6rkHi/huz6V48TzexvqtQjf+7K0jnjeGcPnRHjEUn03Yd2e8xoZ 2AK/Mg48xj5t17KUiR0qxCeZiT3J7BQpwl7e+43vJfbilSnZOuzRM7xrPmCn fCs74e7Ljfam0vUlcT5PnetxQn7cyMdO91I59rWyIloTtiZTmfHXbwJ67PMh wZ8beSwXvFjhPwGNOeeeWF/B/RenMCyvTICs++or/gHcaPBmWIBrAM5jscru v0Bu9DotrCc9cAKynsibFwVxI6Hl85YvgiZASKRmS2owNwpZbNHPDJ6ABK+H mjdDuVGhvoX4jdAJKJNuPnMhjBtxeny3vhA2Aed8VR6diOBGhyS5Vp6ImICu UtFw4yhuZL0mnWkUNQHGqvPrVO5zo7SXClFb7k9AWH4M0yybG3UYnuw0y54A rU87k6MruZGakqdPTOUE8K4q0Ka1caPNb5I0aW0TwFr3vN2czo0ex5GbzOkT cJJsqx+iyYM28ShkB2uyoI5+CMX486DXcpy3ov1ZMBVr3BvxgQdpvmVsjPiA 9ykL5XXn+HhRckFHggffJJxAM2dqbXhRroLXhVqbSTA4u6zIpYAXpYvmJLkU TAKX6nfqQX4+NLcQEmzKPwUHPjj/DHbgQ2ZrN+8MdpiC6+Gs61xlfEi16BOF u2wKclb7L1BW8SOTifwdf1ZNw1tLjiXCik62brzqFqjI0JZtTam+65ZiWijV 3o/t6Yxewej74uhqShjbySnHSuzOcyHD23fY3h4ZtHDVYQ46CxPZPlh6nlUX PA0tuc/YLk3avFtYYRqO8GlydGEnaHYIi66ehhKH92z/fkQmd+M8bhQ1XsJG 7YPcXdjSp9IFCdfbafMTPrJHBBG+6yylRHhRLdifcPF7CTvCW91/Jv7FvvwT RRD1fFqVS3uwq56mvaBit1jfnp/G7s7tPjmCff/JvJHwan7kuudUKhfOY9DA UvuGbVs9V3Qe++779vX3xPmRXsPQCxXxaZjgA72LEnheAlr7b0lMw4pji1Yn 1/Cja9MerXfWTINlQX4oSPIj78jRUCPJaaBe4FwbL8WPNl8SkQmRmoaXn6O+ 9krzo738MaQx6WnQ+fszUmctPzJUPCyluHYaVOtVqy/J8iMOGb/SANlpeOhc pPFGnh/tN5DtKZCfhqL0lz8Z6/mRypDdZ8b6aagufP6BtpkfObo7ydI2TwPd ZG/ubw1+JEDbxflbYxrMv8gm/dzOjzSW0kebt0/DTFXj115zfrTneMebXvNp SA8TWL7iPD9aly+/bOX5aXicxHfF5hY/alrrctnm1jQMSaxU//gYz0OItvHj 42n4FSWRoDLOjyiZx4a3jE8DY4OIzNM9y1CZa5LRkz14b8iOMVR7uAwdcY6x VX04A2HflEMa6MuQuWAJpZ4+AyTeiL7VZgLo9dOjo6vNZsFy83j4n0IBxFf1 zulP4SycunRYYKOMIJqRiPq4UWYO/D1KDVnhgoi/f1XURPgc3hMCFszpgujs o6D7x+lzMFCxddtuKyFEiQueMLaah8LNwtqEqWHLoq7WWSNVWx+27R0/fuV5 qo0Uku6xfVC0024pRxz9OZHI9tz9ed8X+7hR1Y7HbGuNJ0+9eb8ICl8K2D75 0+xsd9I8bNeqYtuwMCohxX4eOPTO6BCWF/DWscLnnzYU0CW8Il4qwAS7/KyP IWEDzx/2u7Fn48m7CNNddEZ2YQfv+RfOfl7KdCKex08tfCLMR5vLJBwm+Gr3 XuzmWxbcRD0uK4fq/disd1w39mGHB1l/PY2dwZjYdwJboOzsz0BspvbIEU/s D+u1Y05ZC6Fze/U0/mFHOkwdMzwphEyO3mB8tcbzEg0yP2QjhHw5ro0628zD HcHNtranhNCwxjnPB6fmIe+Dtvd5WyFUGCMr4WE7D53ven7M2gmhapGGPT12 8yD8edv+CAchJHfqSkCCA86bZ9+6+rQQauna6s95eh6e223KL3UWQn4/jr2u dJ6H3Wp3v9i6CiHHhmKjU67zUG3XJM/pLoRi4+pFON3n4UKMt5yGjxAq0//u tNVnHuLyLgWcDhBCYyrWrx0D5kFv762tD8KE0Jp9v10TwuaBs4Hhtfsxrid7 /9jux/OgmxVfuLJSCO012UtZVTkPrfoz8txdQkhnqGAtd9c8XH/e0LF6UQjl vl5oXL04D4abmPuHbZej8ttyYUO2C/Dxd0joQsVyBHpcV+crFkBrw537R+WF 0fe1f+8dkV8EIzv9nIHrwoijznGk//oilNZeH66ZEUavitpZNTOLcAtV5Dt7 iSAhJ/IdZ68lqGpYnl83III0597c+jKwBEKe3h1BGqLojJaMT5AGB6K/OWoW 4imKmmY/G4d6ciCDygv6nnmi6K9nsdn5PHzvXoreQdgjWNQvaac9qn5SzXZO x8D8tKou8uxoZjttaTCO1iyOxNZ2sH1tXbq91nMeVKpOYTvW8aEp520S8qX2 s/1c46faQhUHcrzDYLvbItD4QD4H4hQxNyBcMlQv54vP94t/zXZx0/2HF7C1 K/2MCauuitP0xB7/Z7CbsIJSvxbh/NwxN8KvvGKtCFedexJNuGlnTDDhJ0tZ /N7Y/hdsTb2wK9+8uuaDXTH++rM3Nql3dMc17LB9zZQr2MxVhpPR2F/9NjyM wNakjm1f9UoU2V8xkmjGTjN9H5KI3Xif49SJVxxorEw1bns+zp9e52eC+7lk U5PTju1mxo9msSNEqfX+BaLoGynkrF8BBwp6THl++rUoEo22+3r8NQcKXKka Z/pGFImXvbE4/oYD/ZCritB5K4o27DRbv+UtB1pUjt3/uRCffzDYra6QA8WX 6KibF4sis/4Le82K8Twku/S6S3C9+F3q3SX4+/WTUS54L4rvB2tK899zoJmj PlfCq0RRXlMeVziev3idiZplrSjis1AtOVHLgbh+yQqf6RBF7qk/5l06OFDT 2ZO2EcOi6OeJecHbwxwILfRsrVgQRY9S7dQqFjhQv0B5Cp+oGKr5YPcfnygJ Pfp1wvH8PjHUuLxy+Nw+Eur19Y+KvCaG1r2sYd27RkI9DiaR7uViiH9BlulW jveOAvVG3kkxRBkVtuedJCGzV5sONeqvQF7fDx5r1OdEmS8tVFJCV6Dshe7V KaGcSP/NQTu/2hVo7rRnp18tJ7rCE/fXQWQl+nvsuquDCBcqyQqttbVaicDb iGpnxYX+dd9X9slYiZQPe/V7ZnCh/wFLr+Yu "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False], "[", "t", "]"}]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.929525223473021*^9}, CellLabel->"Out[54]=",ExpressionUUID->"0f364d55-35f9-4755-9ff6-2ba4fa513d84"], Cell[BoxData[ RowBox[{ RowBox[{"x", "[", "t", "]"}], "\[Rule]", SuperscriptBox["\[ExponentialE]", RowBox[{"y", "[", "t", "]"}]]}]], "Output", CellChangeTimes->{3.929525223487852*^9}, CellLabel->"Out[55]=",ExpressionUUID->"e097e641-e3b4-4dca-b8bb-29759c773d3b"], Cell[BoxData[ RowBox[{ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "\[Rule]", RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"y", "[", "t", "]"}]], " ", RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "t", "]"}]}]}]], "Output", CellChangeTimes->{3.929525223488903*^9}, CellLabel->"Out[56]=",ExpressionUUID->"81977182-130d-47ee-b3b5-58fa53f6f003"], Cell[BoxData[ RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"y", "[", "t", "]"}]], " ", RowBox[{"(", RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"y", "[", "t", "]"}]], "+", RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "t", "]"}]}], ")"}]}], "\[Equal]", SuperscriptBox["\[ExponentialE]", "t"]}]], "Output", CellChangeTimes->{3.929525223489705*^9}, CellLabel->"Out[57]=",ExpressionUUID->"46fd72e1-126f-418e-acb2-a473c006deb0"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"y", "[", "t", "]"}], "\[Rule]", RowBox[{ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwt0H1Q03UAx/EBykBKWIBAOkBTJg+tAUMxxvbZxh5AhntmpTOMQwQRBhjZ 4RmsgQ+nx0PHThqicuIadU2SrGyds7O8QDLBHlypFwcEpBfkmIin9vXu98f7 Xv+/V79dpS7xp9FoPNJzu5ou0G1VLj5NbgxxrujMltxIreBGLgqqH4QG34ma FCwtYQ8EskNQsPVXmbZsUVD+o7T0GicCPcW8x38HLsGgeZ+nyvEyxG0p3zy1 LkPke+er+b/FY/TSU3rlaBjimdnGn5hr0Txadjl+VQQSV/WGf9jHwrbYW2+N OaJgSln+5EpCMvY+mAqvT1iJMMdhBa2UDeeafZa7O2NhcFdzv/JxwP6ntbzf Fw/dmH3ea0vDu8tYi3O2NZg7ul05lclFrXTr48nMtXihxBLmW8jAd8Ej5vmF ddDVpluCbBthd34sCbKxEOtUGTOKNmHo3kFxRlEimmpnr0czs7Cj6+cr0cxk xFRG+2guHhiGiVmaKwWvWp2NAQf4CK5veD/gABuZi6VFSxlARGcIkYMYtzPN 6gWa2nPTrV4Ocge/VPnfFIJ3vUPtfzMVLVWWQdMZEZaMpw+ZzqSh45Oguopm MeZbdMR0fG5W1Ze/kYMpeyGRi9juN4fF6yX4fpeGmIE85Up1X5AUYcMM4gYc O3GKE+6Rot7eSdyAlsbbwuBvZfB76CFuxF8Oz0mPTY6R08/NRO6ersLPdudC r2slbkL11UhRqCIPM9njwlDF6zjn0jTXxG3GtPffppq4LPB9qqj++5vRc/6L Ff33s3D0B/of+4fzcfUltmf/MA+zqeaFvG4FLtTWPczrzkYEd0B+tqEAoiNW 2dkGPrbc6PsvQLsFT3occwFaAfbcOre3m6HEDmE+EWiP3HXYz6yEsS2RCIhO +g1NzChRVzw5ODEDqL2+3tZtKtQIHxGFOLI7n5V4TYUhkZEohIJj+UXEVaM0 8DhRBJM7ivlKrxpfV7KIIsR1H2uzLNfALbYSyecTxZ+OvqPBgK+EKEZyWUfR 9ISGUox7jQ5hQ4GWMgcv7oxx3b6kpcyBvmL6z/Wv6SglSHLbkuatOkoJtt91 MA7R9ZRSMPM/Wtdl0lNKwbNMjtSN6Sml+OBOe4JAXUgpg655tf3QxUJKGQ4+ Crl8PNlAKYfk4u/0pA4DpRz8mPGFZ88MlHL8D2YWnCQ= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwt0H1Q03UAx/EBykBKWIBAOkBTJg+tAUMxxvbZxh5AhntmpTOMQwQRBhjZ 4RmsgQ+nx0PHThqicuIadU2SrGyds7O8QDLBHlypFwcEpBfkmIin9vXu98f7 Xv+/V79dpS7xp9FoPNJzu5ou0G1VLj5NbgxxrujMltxIreBGLgqqH4QG34ma FCwtYQ8EskNQsPVXmbZsUVD+o7T0GicCPcW8x38HLsGgeZ+nyvEyxG0p3zy1 LkPke+er+b/FY/TSU3rlaBjimdnGn5hr0Txadjl+VQQSV/WGf9jHwrbYW2+N OaJgSln+5EpCMvY+mAqvT1iJMMdhBa2UDeeafZa7O2NhcFdzv/JxwP6ntbzf Fw/dmH3ea0vDu8tYi3O2NZg7ul05lclFrXTr48nMtXihxBLmW8jAd8Ej5vmF ddDVpluCbBthd34sCbKxEOtUGTOKNmHo3kFxRlEimmpnr0czs7Cj6+cr0cxk xFRG+2guHhiGiVmaKwWvWp2NAQf4CK5veD/gABuZi6VFSxlARGcIkYMYtzPN 6gWa2nPTrV4Ocge/VPnfFIJ3vUPtfzMVLVWWQdMZEZaMpw+ZzqSh45Oguopm MeZbdMR0fG5W1Ze/kYMpeyGRi9juN4fF6yX4fpeGmIE85Up1X5AUYcMM4gYc O3GKE+6Rot7eSdyAlsbbwuBvZfB76CFuxF8Oz0mPTY6R08/NRO6ersLPdudC r2slbkL11UhRqCIPM9njwlDF6zjn0jTXxG3GtPffppq4LPB9qqj++5vRc/6L Ff33s3D0B/of+4fzcfUltmf/MA+zqeaFvG4FLtTWPczrzkYEd0B+tqEAoiNW 2dkGPrbc6PsvQLsFT3occwFaAfbcOre3m6HEDmE+EWiP3HXYz6yEsS2RCIhO +g1NzChRVzw5ODEDqL2+3tZtKtQIHxGFOLI7n5V4TYUhkZEohIJj+UXEVaM0 8DhRBJM7ivlKrxpfV7KIIsR1H2uzLNfALbYSyecTxZ+OvqPBgK+EKEZyWUfR 9ISGUox7jQ5hQ4GWMgcv7oxx3b6kpcyBvmL6z/Wv6SglSHLbkuatOkoJtt91 MA7R9ZRSMPM/Wtdl0lNKwbNMjtSN6Sml+OBOe4JAXUgpg655tf3QxUJKGQ4+ Crl8PNlAKYfk4u/0pA4DpRz8mPGFZ88MlHL8D2YWnCQ= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 100.}, {0., 49.99999915254237}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 100.}, {0., 49.99999915254237}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwt0H1Q03UAx/EBykBKWIBAOkBTJg+tAUMxxvbZxh5AhntmpTOMQwQRBhjZ 4RmsgQ+nx0PHThqicuIadU2SrGyds7O8QDLBHlypFwcEpBfkmIin9vXu98f7 Xv+/V79dpS7xp9FoPNJzu5ou0G1VLj5NbgxxrujMltxIreBGLgqqH4QG34ma FCwtYQ8EskNQsPVXmbZsUVD+o7T0GicCPcW8x38HLsGgeZ+nyvEyxG0p3zy1 LkPke+er+b/FY/TSU3rlaBjimdnGn5hr0Txadjl+VQQSV/WGf9jHwrbYW2+N OaJgSln+5EpCMvY+mAqvT1iJMMdhBa2UDeeafZa7O2NhcFdzv/JxwP6ntbzf Fw/dmH3ea0vDu8tYi3O2NZg7ul05lclFrXTr48nMtXihxBLmW8jAd8Ej5vmF ddDVpluCbBthd34sCbKxEOtUGTOKNmHo3kFxRlEimmpnr0czs7Cj6+cr0cxk xFRG+2guHhiGiVmaKwWvWp2NAQf4CK5veD/gABuZi6VFSxlARGcIkYMYtzPN 6gWa2nPTrV4Ocge/VPnfFIJ3vUPtfzMVLVWWQdMZEZaMpw+ZzqSh45Oguopm MeZbdMR0fG5W1Ze/kYMpeyGRi9juN4fF6yX4fpeGmIE85Up1X5AUYcMM4gYc O3GKE+6Rot7eSdyAlsbbwuBvZfB76CFuxF8Oz0mPTY6R08/NRO6ersLPdudC r2slbkL11UhRqCIPM9njwlDF6zjn0jTXxG3GtPffppq4LPB9qqj++5vRc/6L Ff33s3D0B/of+4fzcfUltmf/MA+zqeaFvG4FLtTWPczrzkYEd0B+tqEAoiNW 2dkGPrbc6PsvQLsFT3occwFaAfbcOre3m6HEDmE+EWiP3HXYz6yEsS2RCIhO +g1NzChRVzw5ODEDqL2+3tZtKtQIHxGFOLI7n5V4TYUhkZEohIJj+UXEVaM0 8DhRBJM7ivlKrxpfV7KIIsR1H2uzLNfALbYSyecTxZ+OvqPBgK+EKEZyWUfR 9ISGUox7jQ5hQ4GWMgcv7oxx3b6kpcyBvmL6z/Wv6SglSHLbkuatOkoJtt91 MA7R9ZRSMPM/Wtdl0lNKwbNMjtSN6Sml+OBOe4JAXUgpg655tf3QxUJKGQ4+ Crl8PNlAKYfk4u/0pA4DpRz8mPGFZ88MlHL8D2YWnCQ= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 100.}, {0., 49.99999915254237}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 100.}, {0., 49.99999915254237}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "100.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwt0H1Q03UAx/EBykBKWIBAOkBTJg+tAUMxxvbZxh5AhntmpTOMQwQRBhjZ 4RmsgQ+nx0PHThqicuIadU2SrGyds7O8QDLBHlypFwcEpBfkmIin9vXu98f7 Xv+/V79dpS7xp9FoPNJzu5ou0G1VLj5NbgxxrujMltxIreBGLgqqH4QG34ma FCwtYQ8EskNQsPVXmbZsUVD+o7T0GicCPcW8x38HLsGgeZ+nyvEyxG0p3zy1 LkPke+er+b/FY/TSU3rlaBjimdnGn5hr0Txadjl+VQQSV/WGf9jHwrbYW2+N OaJgSln+5EpCMvY+mAqvT1iJMMdhBa2UDeeafZa7O2NhcFdzv/JxwP6ntbzf Fw/dmH3ea0vDu8tYi3O2NZg7ul05lclFrXTr48nMtXihxBLmW8jAd8Ej5vmF ddDVpluCbBthd34sCbKxEOtUGTOKNmHo3kFxRlEimmpnr0czs7Cj6+cr0cxk xFRG+2guHhiGiVmaKwWvWp2NAQf4CK5veD/gABuZi6VFSxlARGcIkYMYtzPN 6gWa2nPTrV4Ocge/VPnfFIJ3vUPtfzMVLVWWQdMZEZaMpw+ZzqSh45Oguopm MeZbdMR0fG5W1Ze/kYMpeyGRi9juN4fF6yX4fpeGmIE85Up1X5AUYcMM4gYc O3GKE+6Rot7eSdyAlsbbwuBvZfB76CFuxF8Oz0mPTY6R08/NRO6ersLPdudC r2slbkL11UhRqCIPM9njwlDF6zjn0jTXxG3GtPffppq4LPB9qqj++5vRc/6L Ff33s3D0B/of+4fzcfUltmf/MA+zqeaFvG4FLtTWPczrzkYEd0B+tqEAoiNW 2dkGPrbc6PsvQLsFT3occwFaAfbcOre3m6HEDmE+EWiP3HXYz6yEsS2RCIhO +g1NzChRVzw5ODEDqL2+3tZtKtQIHxGFOLI7n5V4TYUhkZEohIJj+UXEVaM0 8DhRBJM7ivlKrxpfV7KIIsR1H2uzLNfALbYSyecTxZ+OvqPBgK+EKEZyWUfR 9ISGUox7jQ5hQ4GWMgcv7oxx3b6kpcyBvmL6z/Wv6SglSHLbkuatOkoJtt91 MA7R9ZRSMPM/Wtdl0lNKwbNMjtSN6Sml+OBOe4JAXUgpg655tf3QxUJKGQ4+ Crl8PNlAKYfk4u/0pA4DpRz8mPGFZ88MlHL8D2YWnCQ= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwt0H1Q03UAx/EBykBKWIBAOkBTJg+tAUMxxvbZxh5AhntmpTOMQwQRBhjZ 4RmsgQ+nx0PHThqicuIadU2SrGyds7O8QDLBHlypFwcEpBfkmIin9vXu98f7 Xv+/V79dpS7xp9FoPNJzu5ou0G1VLj5NbgxxrujMltxIreBGLgqqH4QG34ma FCwtYQ8EskNQsPVXmbZsUVD+o7T0GicCPcW8x38HLsGgeZ+nyvEyxG0p3zy1 LkPke+er+b/FY/TSU3rlaBjimdnGn5hr0Txadjl+VQQSV/WGf9jHwrbYW2+N OaJgSln+5EpCMvY+mAqvT1iJMMdhBa2UDeeafZa7O2NhcFdzv/JxwP6ntbzf Fw/dmH3ea0vDu8tYi3O2NZg7ul05lclFrXTr48nMtXihxBLmW8jAd8Ej5vmF ddDVpluCbBthd34sCbKxEOtUGTOKNmHo3kFxRlEimmpnr0czs7Cj6+cr0cxk xFRG+2guHhiGiVmaKwWvWp2NAQf4CK5veD/gABuZi6VFSxlARGcIkYMYtzPN 6gWa2nPTrV4Ocge/VPnfFIJ3vUPtfzMVLVWWQdMZEZaMpw+ZzqSh45Oguopm MeZbdMR0fG5W1Ze/kYMpeyGRi9juN4fF6yX4fpeGmIE85Up1X5AUYcMM4gYc O3GKE+6Rot7eSdyAlsbbwuBvZfB76CFuxF8Oz0mPTY6R08/NRO6ersLPdudC r2slbkL11UhRqCIPM9njwlDF6zjn0jTXxG3GtPffppq4LPB9qqj++5vRc/6L Ff33s3D0B/of+4fzcfUltmf/MA+zqeaFvG4FLtTWPczrzkYEd0B+tqEAoiNW 2dkGPrbc6PsvQLsFT3occwFaAfbcOre3m6HEDmE+EWiP3HXYz6yEsS2RCIhO +g1NzChRVzw5ODEDqL2+3tZtKtQIHxGFOLI7n5V4TYUhkZEohIJj+UXEVaM0 8DhRBJM7ivlKrxpfV7KIIsR1H2uzLNfALbYSyecTxZ+OvqPBgK+EKEZyWUfR 9ISGUox7jQ5hQ4GWMgcv7oxx3b6kpcyBvmL6z/Wv6SglSHLbkuatOkoJtt91 MA7R9ZRSMPM/Wtdl0lNKwbNMjtSN6Sml+OBOe4JAXUgpg655tf3QxUJKGQ4+ Crl8PNlAKYfk4u/0pA4DpRz8mPGFZ88MlHL8D2YWnCQ= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 100.}, {0., 49.99999915254237}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 100.}, {0., 49.99999915254237}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwt0H1Q03UAx/EBykBKWIBAOkBTJg+tAUMxxvbZxh5AhntmpTOMQwQRBhjZ 4RmsgQ+nx0PHThqicuIadU2SrGyds7O8QDLBHlypFwcEpBfkmIin9vXu98f7 Xv+/V79dpS7xp9FoPNJzu5ou0G1VLj5NbgxxrujMltxIreBGLgqqH4QG34ma FCwtYQ8EskNQsPVXmbZsUVD+o7T0GicCPcW8x38HLsGgeZ+nyvEyxG0p3zy1 LkPke+er+b/FY/TSU3rlaBjimdnGn5hr0Txadjl+VQQSV/WGf9jHwrbYW2+N OaJgSln+5EpCMvY+mAqvT1iJMMdhBa2UDeeafZa7O2NhcFdzv/JxwP6ntbzf Fw/dmH3ea0vDu8tYi3O2NZg7ul05lclFrXTr48nMtXihxBLmW8jAd8Ej5vmF ddDVpluCbBthd34sCbKxEOtUGTOKNmHo3kFxRlEimmpnr0czs7Cj6+cr0cxk xFRG+2guHhiGiVmaKwWvWp2NAQf4CK5veD/gABuZi6VFSxlARGcIkYMYtzPN 6gWa2nPTrV4Ocge/VPnfFIJ3vUPtfzMVLVWWQdMZEZaMpw+ZzqSh45Oguopm MeZbdMR0fG5W1Ze/kYMpeyGRi9juN4fF6yX4fpeGmIE85Up1X5AUYcMM4gYc O3GKE+6Rot7eSdyAlsbbwuBvZfB76CFuxF8Oz0mPTY6R08/NRO6ersLPdudC r2slbkL11UhRqCIPM9njwlDF6zjn0jTXxG3GtPffppq4LPB9qqj++5vRc/6L Ff33s3D0B/of+4fzcfUltmf/MA+zqeaFvG4FLtTWPczrzkYEd0B+tqEAoiNW 2dkGPrbc6PsvQLsFT3occwFaAfbcOre3m6HEDmE+EWiP3HXYz6yEsS2RCIhO +g1NzChRVzw5ODEDqL2+3tZtKtQIHxGFOLI7n5V4TYUhkZEohIJj+UXEVaM0 8DhRBJM7ivlKrxpfV7KIIsR1H2uzLNfALbYSyecTxZ+OvqPBgK+EKEZyWUfR 9ISGUox7jQ5hQ4GWMgcv7oxx3b6kpcyBvmL6z/Wv6SglSHLbkuatOkoJtt91 MA7R9ZRSMPM/Wtdl0lNKwbNMjtSN6Sml+OBOe4JAXUgpg655tf3QxUJKGQ4+ Crl8PNlAKYfk4u/0pA4DpRz8mPGFZ88MlHL8D2YWnCQ= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 100.}, {0., 49.99999915254237}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 100.}, {0., 49.99999915254237}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "100.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["3", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{0., 100.}}, { 5, 7, 1, {353}, {4}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1nk01VsbB3CJjIUzn/M7hqOMR0Jm8fvWG2lSCE3XeApJUoTrFtVFRRlL pnQqUdEkRBpIAyqzSCkq3EbzkOL1vre91rM/67vXetbaa6/9x8PzDHDYJioi IjJrpjz+t/1eg1uChlKGlcl/XfRbkhxdnlocMLbid15HBtWLO4mO+pEj/z8P IdvqnXjfJyJJ42k3b/XxKPL23oGnyRNC8lyv9Lhi8FXy8cIk6obQIrK8V4nP Lr5DDi8WhLbsf0yWyQfNF7v/jLw/utSbHdlAcr622maxm8l97/20eYWtZEO7 iGzOmnZSp/7kV82eDvLIY+26/IhOsnZAvuixaBfpEBknWvKom2yfJ7k+98gH 0j3rcFbq6h6ylz/9KWZeH7mr7E/T0IZ/yFN/GtUz5L6Qd837vYvWfCP37G+Z 1rLuJ6Pf3Fw94TVAplkmpD49NEgWZPm/TxUOkQ9+rVrk/WCYbP5DM9z47QjZ e1f8ifjUKDmp+J7Swh0n5SlLhmz9Jki1OSebykt/kOY/vhbqSf4k132zSbng /IsUdGcHsXKmyLDW8Q1xQ9OkWV7rAdX9IjD+qNd0QGQWDFRjNToOz8Iit4/h JhKi0Mkk65OPiUKzPW1B/9zZUGMMh65JnA1VR7vneTQxKCXk8cRPi2HcsuDn O4Y4Gj/feFl+UhxX0opvnqbNQdSKO8eDkufAdeS+z3qKBCoXuEaapUpAbcPP VFWuJI4cTr8mI5TE55umT4bVpJBgI4i+ly4Fw1fx1kfkpNHmf0fM4W9p7J/V +5CYkMaol0a0i4cMdj32tk2ulkGvZp50nb4s3GL7nkmny0LF2jzRaFwWXVOx Tu7Oc3Hu9ht27K258NyzqLOIMg+eiqc2nPGZ8enPmuh7M+71WhpAk4OHUk2J yw45nJW+PLqxVA4Bk1WchWLyiB8wLCvgy+Nq74VNuo7y+INQE60IkYfsupzL jpnyuHNIzbHngTx2FOdMhn6Uh5WZsCNaQgHU8sw7KVoK6LU6nXFutQLKK5LD r/srYEJTpkAkXgEmCYc6119XQNDYhJywQQHVcoG+WwYUoKzZV0lXoCAIbtx6 PQqY8ovestdRUPp2SujlT8GWay8EBbEUZM173X0xj4K3/v+4n31Egcrz0c60 bgqky5bau01RMHQx7uECDhWvk18afTKiIjjdyTtlPRVzhU2nrfyouJhrX9MX RUVmoJ7weDYViRZyoQalVMSIf7N72UiFW+2ExbHPVJgmimtZitGg4KLA6OfS 0Ih3AZWGNCRpX6tOWUODI+3AfG8BDfywU4E+4TTM7rx63zeJho5lT+b6XaJh MkB1xaX7NBBZ+yN7W2iwqGkrVftCAzeDCCuYRceUn6upEZOOd0uEY+U6dGRO 0XPTltKx6cEx533OdNAPTYs7+tExn/5CLD6CDoO8zNm1yXTAwk9UIo+O6/7O VVfu0KF8dmn0+jo6TjTq2I5005Hje2W3zCgdd0W003hSDDSn5lWYcBnYKaZr 8USXAfHAwlvOSxnIemOq2+PIwPcagdXoNgZwO8FuTigDSTnlroxjDIyfvFVS kMGAa3S+vHUBA1X7Lvi+vsfAro+BZrPqGWBtIKXUuxh4WCnbvmqQgQ7DmlbR 2cyZ949pLqMyIcO2btyzgIkLMR0rHxoyYTkaWEG1ZqJVIGkmcGLixJX/0B22 MWEzeGCADGZi2rTs+cIoJrqOnBHeTWGisu1Q8NoLM/2a3ivfFDJRbjHiQn3I RIvd4e0rG5n46qEQHNHFxMGmoNtu/UwwrNsmyWkmLhdbkCrzWGi44RtwlcvC eH5q9hI+C8p5j+pqzGZyW7G3tC0L9VJ50yudWcgzT0s9KmAhXKbq1f49LKx9 /U1xTyQLKgVsj+0nWNDqzXCjZLJgwFNyvXeJBYstZ7fuKGHhzYr2sfoqFiIM KckmjSzweKt1z7xlodiqj6j8wsKarVFSPRMsdIWpjklJsLHB3eDRVyobT2yW JTeosGG+0MGjaCEbXqXJoVvM2YizbomftYKNogZGbq4jGxa1AjuKOxsVVTdH /trJxop7Ilm9oWzwjxCTrCg25ByMN61KZGOIsC8Jz2Ij6fLbluBLbOiZ7RoO KGKj7slPyo4KNv6QqHur+5yNzzbC/KE2NsKi94bd/sCGTLVB9cp+Ns7IDLI6 Jmf67G747JTgICWDNl5L4WC8LySGr8TBVuMORqwWB9f+czKuzJADUft1op9I DpxcpULZqznQURnbxnHmQKz7gyPhwUHH+cal3J0cXH6jpd6/j4Mw5kHpqoMc 2Nq3fUuN44CeRjNGKgdd79bv7xNyUKB5vCohnwOLmIbqeSUc1Hyk18VVcLBx +eZm6WccDO193u3WysHx8xi49Y4DzabCaanPHNw3CHE0GZm5R5J5rmCag88D v34kShG4H+dbeZpKIEmj5Wi2IoHtlbC/qEEgTLolP0afQJyDr6SvBYHs9F9e q6wJxI6b+UisI7DPed/Oqo0EPG7d3H3Qk8DFzGXqxE4CX/5u7LgVTEDf3zPR LoJA+aTMyKMjBFYcK9pomUSgkeVWfiuDgImjcYV0DoGM43Mfu18lMP3kQ01x CYH8Bc83fXlAYPPBoj5eDQGJzqwQlyYC7St7AvxfE7hSpOtz+COBA7wQ97Rv BMZiR04njBHYPbq3IUaEi408YfpPHS6w5oVX4CYutEImdXqiuDAwSDVd84CL JV8Nlt/8wYVN3ot1LCNFrPPaseVAgCKyHarDleoV8X2pZuY9PSWQ+jHlrolK iFfpeT01oATnZduN9X2VoSToifd6p4zBZYXDNXwVtDru5Qm8VVAmWGz365wK soKH/jzVqYKD0YW5izg8bBg45qkj4EFzq6ei1lUeJh+btamN8/BCXyFZdZkq hJl9a5XjVKH2ZIdq/EdV5A18GZ2ymg8dbkDtrtPzcc1mILtzYD6+yHH9h/Ys gFa7jbnk8AI0T/94k7pFDRHq1w5qPFSD9lovtRJtdTTvZVbbJKkjIr12Z+uE OrQrIuS3e2igpXfxrZGnGoic1+cSpaeJMq0T5qLZmhhabqgYMVcLC91fTU+G a2F7eGR36CctnM09W7nPRxuvmh6cC+rRBk2k69AeAR+/jj0+eX7GXnp+XvOM 9WcT74hv46OMH/LCeMbzxVu7vGcMeaYhUTPjqu5BHZ3tfDQllP6V5cPHVjLy 2Tw/PvrfNp1xCufjcKRGYGYsH6M3Ig03X+Bjx/v2MeZdPjppi++0tPCR0+5i KCmhA78zfxWYm+pA30uo7u+rA3GPzWJ6v3TQ7krtHkxYiPytz+4XLdBF5Oao rNDbunhVcrPrV/oipEv3J1VY6WFF6Rwjset6GPZWfGnD08fJeE3bfUJ9GJcs Ls3hGaCt00q7RWiAsDmrMsRUF4PQdZI1PLcYBYs++T/cbDjzHyLqHKhGaDSg 6XfXGkFgeCkp8G9jjBlZDYtYmuCoSZNTwogJCDOfEuWrprDM1Kn5J9sMbtP9 rwsTzXHQs+j7/sMWOPcoTNQ2eAlqXoyGWU5bYuDl3gGDoyTidocaphwFntba Dv48uRxiGuzr287Z/nYtDiXLthnY2/9rg+Pv7IyKlXN2puW54N/pdxP+C8pv xF4= "], {Developer`PackedArrayForm, CompressedData[" 1:eJwl02FEGAAQgNFKkiRJkiQtSZIkSZIkSZIkSZIkSZKWJEmSJEmSJEmSJEmS JEmSJEkyM5PMJEkykyRJspcd7/4f331p+lrVERgQEND0uUwQwYQQShjhRBBJ FNHEEEsc8SSQSBLJpJBKGulkkEkW2eSQSx75FFBIEcWUUEoZ5VRQSRXV1FBL HfU00Ph5B8200Eob7XTQSRfd9NBLH/0MMMgQw4wwyhjjTDDJFNPMMMsc8yyw yBLLrLDKGutssMkW2+ywyx77HHDIEceccMoZ51zwje/84CeXXPGL31xzwy13 3PPAH/7yyBPPvPDKG+98EKCBIIIJIZQwwokgkiiiiSGWOOJJIJEkkkkhlTTS ySCTLLLJIZc88imgkCKKKaGUMsqpoJIqqqmhljrqaaAx8H/HzbTQShvtfEbe SRfd9NBLH/0MMMgQw4wwyhjjTDDJFNPMMMsc8yywyBLLrLDKGutssMkW2+yw yx77HHDIEceccMoZ51zwje/84CeXXPGL31xzwy133PPAH/7yyBPPvPDKG+98 8Pn8QQQTQihhhBNBJFFEE0MsccSTQCJJJJNCKmmkk0EmWWSTQy555FNAIUUU U0IpZZRTQSVVVFNDLXXU00AjTTTTQitttNNBJ11000MvffQzwCBDDDPCKGOM M8EkU0wzwyxzzLPAIksss8Iqa6yzwSZbbLPDLnvsc8AhR/wDiYmnfQ== "], CompressedData[" 1:eJxl2Hk4lc/bAHDLcTjnIGSXPZEWX5U97htFyp4kUSqKhJJIRCRLWqwVbZKU 7GUJ9SUtllJURAvPQagoS7Jkeaf3/V2/f97nv891zzXzzMw9M888irv97D04 OTg4ark4/t+jGPLyVGG/jdEXy+LfYmPycGDNvV8nh/YZafZ2eV0Y1YA63Lhq bCTCSEpH9L34KEDWAk+Or8NJRg09fckjv8zhdmpvyHX/DKPMklgJp2EbKLNS e24X1G40M3RRseqrN8QuOp2i9mPEqCVXKy3gSxC8zUn65DTJCZX2U7wD/Sfg nu4HrudCgmB5hjUx0XEKTAJu5y8fN4UY1p/qxjs34IlM0ePF+11AaUaHpXI2 H+pododXch4AEfuupurEEtBS0Wu7qBgE3l8EzPq0KqG65EFR4JOzID920dvj 5FOQLTna5txzETaYyP66frIBnsqra4t53ICwivRljVqvwDdJbPZ5ejY8MnzV LzDSDB8TTl346Z4HiQp3Wwry3oBnfMyBMNdiuBRYgTLW72BD771kw8YS2B15 3LmqtRUO1VB85wIegFnRg2rWuvfg57rrsHzdI9hv2N0nJtABkyoVj6sePgYO Jx5F67sfYGX20Qrhx0/B7NmS0TjZT3BTdIGj4GAd+J8rvvHa8zN0TTtUeum9 gLfZfhusznUCX/8jbZlbr0BFWjDXOqELIuxv/AhOagGPCHGz4w4U9Fgm37Dv fQtxw5o74uopCHcobvy8rg1aGbq+L5ewQeb28Qf6xe3wsyu2/uEhNow2GaR3 LfkItodGpKpy2VB7mac99eZnyHny1Zv5ng02LjIPK0UoUN71W65hnA0uVeEN flvYEBTb8+47oxtK/oDC2rRuYJjUeOiLdQP7uZVkwucemH7RSreW6oaODu71 rVu/QPzR9Jwm8W7I8rZKzWrpgyE935/2gt0QUDRwNmnjALT3+HaFcnZDihsr 1L72K7z1nEi8PsKG5G8PbxbpfgeRI16fX3SxgfWrSOJs/iBcfe634/1LNvQL ONRsbRmC+QyBupRHbNBfysGj+usHTC19r21cwIY/35ryZpnDMLfvFTfrOhsy bln0e18eBqFlhSvFEtggV5Ra6LZsBMw3NT84GsGG5uylGl2VI3BptlzU/DAb UnuO8Hy3GIXAkF1p8R5suMvZIBXbPgp7xj2yLJ3YUL79Z1Dl3jGIGVnLe3YT G1p5Hdpzf47B1LGVZmXAhkj7j8uNj/4CddkdNQ5r2NDwO48/jGMcNuHGyx5L 2fCzKueXR+w4vDTSXvNFjg1ScQKmMwt+w/a619GvRdmQVCTtXnb1NygP217M Y7Jh/eU8EbllE/Aju2XxOAcbtiuMlWo/mICDA1lPb05QkLY/LY57/SQcT3l3 //4Pkg+0gZ7wmkmgisaeq/RTcNo7RPy5wRT8ULe48KmLAsu8TfztZVPw9NGw Yms7BfnvQtLLNafhieGKE/xvKJCfSk7UvT4N7ot1vDVfUuCjHjqdzP8Hds30 3Il6ToHgEe/ZxuA/UOksGUJ7TMF3Tr3yzr4/cGptwfLCKgpM39aipcUM2Dp9 MeMsp8A1bzDjWu4MUHV1MgH3KChWg9Q2gVmwLfZKoxeQfP38690vv1mwrKbf L8+h4PhWG/3dDbNg0PRhb88tClwcxm2rlOZAK8FWXjWTgixOvkscoXOAc0bL Iq9RsP388OlVrXMwfWznp7F0Cs7Kec2rqc6D3nyUcu1FCqpy1T8uCJ6Hzd5S FzJTKAhb2RDY3zgPKrF2D1MSibesE3US5MDN1/gVLp2j4GW0Z/KKNRyom6Ku 1RNPAU9M2+jMNg5UuXl+19o4CvhH3e2fh3NgF+jY3YymwEhLvSXuFge+sFco loii4B70OhfUc2Ce96mapxEUXD+2bq7pOwemPvo8ERpOAYY3vBkQ5MSEIF9p PE6BxfmDP+c0OdF/tdKgQAgFxj0Xla0cOHGhUrz9yFEK/IMTZy4EcuKc4M2S zkAKhNwvnP90iRNXWg8fbwugYFZZtjy0ghPfbqTzD/tTEOA7ryj1gRMHS/bf Ej5EyvcbUMXTpH5e4y0GfhTY2HonvpTiwk6jt0KRPhQsZc3z9OpyYUjMwd7X 3hQ8DNuyaXIrF6662l69eD8FvvWfU4qOcKG/7qLGJE8y3pIL+Pcmc2F0tNUM fR9p7zLtoWQxFzJbr26M8KDgjvKM7NkmLnSTrE0RdqfgZNBu+vxXLlTP2IS3 d1MwUHgqzJfOjSq+xqYmuyhYkvgxr0KRG8VNRFKGd1IwX+aax2XIjWpOeddv 7qBgI1d/lIUTN9Y3l7pud6VApnyY66Q/NzofWaG62IWCoJDYxMoz3LiH44Hc iDMFWpXbdYazubEl39KwdhsFQ5sPtC6v4UY9OfnQTCeyHlqWVO7r4Mb3sPNQ 9FYKdj02/p4xyo2O38UkfB0pWLl6dPkYk4YiJ1fp7dlCgVvk8x5TZRpeU3TO 3U7228SIHNFkAxr2aB3x3LqZAjl6fRRrMw2DW4Z0d9qTfDf/JylyPw2rtlhz 7rejoL1K2Xgygobb1uk8CrKlYNxLr/zWJRqGvLRwSLChYI4ZOGRXSEPj9qkL udZkvpzP9s88o+HOhBMRDVYUNNtXPh78SEN739c6I5YUZLQdO/ZxhIbVHdu3 yhDbmrHEGnh50Myv85P5Jgo8VZI9eWV5kBYtb3x8IwWdrs6l61bxYI3apXcl FhR80dWdO2HOg8uZB1J+bKBgt1RgjaQLD7YP0Pb8Q1xxyDe58CAP8vh3rwgw p+DF4czg9ad4sP5z5GiFGQWTAe2ZmMaD65flCPISy+mfHtHP50G1D6rTW9ZT ULDu5741j3lQU6TxXvY6CjgefxW68o4HVWI7FOZMKRhTbBzhGuDBm9nHtbcS T8TG8nv94cFh6ycjxSYURFDcsesF6XhALP6NCPHB/Y2bFBXpqHMnWeeIMQUH Yq9um1lNR7aDknwHUvC6Q3/jFjM6FvBM5ZoQ947UJ+Y70fEkM+lqPlDAvN+h yeNNx8Fte0aliE8Lj19hh9IxXbczON6IguDtigcenaMjy2/YYs6QAm/RuoxL GXSsl9Df5U/8Plhyfq6YjnYL9677vpYCqtusyf0JHTuX9Dp6EFfcvsDf+I6O PmLBFykDCmpWHHSq+ULHmJuR5m7Ena/r5cp+0/FwmqIQW58CAfVnbrm8vDhf rj+8m9hKs1JJR5IX/8nxGRzQI/O3s9GzVo0XW33uDfoR87jNrbbS48Wg14zh CV2yP1tWnz1swYtfo2WfniR+pWcbkLaNF0+fLYkTIn6hemPgXy9elLYbgGs6 FLS8mL0WFcyLYanRkRrES4pFvlnE8aKf4btbj7VJe9MVjYJppD5/jhwHYlGH Kaujd3jxvX7U9DctCnJTlH3Y5byolOYtG0nc5j+vtrGOF3t+TApJE4+0n7uy vY0X4ZyjdOkash5V0+8d+MKL2c5q/bbEXnVt3sd/kfbqHwcOrSbvu3Fbvj43 HyqUJw2cITb0d7o4IcyHZp1ywiuI32seUy9R4EMxdv3PplUU6F3Y/V5Bg5R/ ERJxiNhrvfmqs4Z8GGZu9q8YMc2lxmBqEx+ax166ValJwdpRxXJJZz4s3VIm upt4pDD+i44nH3r742Im8Yt1cXWOgXz4deX9t/f+IfmhHG+0PIoP92ljjytx /JCuD2cSiRv5xDGIP6osdGi7zod3gh4/K9WgwKy4qdY9nw/zIvMM3Ymfyh0b Gq3kwyNfV5suJJ77cO7diXo+fHV1oLV2JQV112wZL1r5UFI0KTKAeDRmfFa0 hw9Vl8aVLCH+2vft3o5hPtx2ZZ93xwoKzghG2O+b5cOEgpWy54gXT1wr9WMy sHbZJUtTYvPinE9BEgzMerJ+anI5Bb9zP7gbL2bgM9FlUUXEnadG7zM1GZiZ c/mUJ3HyW+vGt4YMPOaOswrENr4HU902MrDKIV734zIK8nouqQ85MpDrcXNP KnH+tNzp4D0MPMismbP9a3Wulhd+DDS7W/pUgDj23ze9sqEMjBU7/6tRnQLn TexnfrEMVL/CeS6WeJ37eGZcCgOX3b9cZU68gC/H5mYGA68o+VvxEmupmL98 mMfAyTQwrVtKynf/XpvxgIEu98fKY4nXh9WHn3zKwF65zPiNxJ8fcabubWag TyDzX37iRXnhoWKfGNjlc257sxoF3axA3af9DAzzUt2cQiwxoNLgP8bAnJC0 LCdi3tiykR9zDNSZLrGWI+aT+DG8n8lED54t1r2qFKhsYtT1iTGxscH45l3i 7830Xk1FJnYyMsCfWORPSUfociZWq+EKfeKyU5Z36nSY2Cz8w5uL2C9h39Ye EyaWWk+wXywh55eaDHvOiomtSua3UomL9lxZL72NiUbf8kp3EpfoygjxuTPR enb3D3Vi8PlTNu7LRAPO7IO/VSgQfuCr3xPMRMuQDWtriSO3L7uYFcVEjUYl pfPEedHjLR7nmSjVym/tQizR9ufbknQm0gQ+VS8lvtXUYvQoi4njFflGk4vJ +NDM/TcXMrHqjgVHHbGmQcyprxVMtBmJoV0gdjB6tNjxKRMvhu5h7CUWfcm6 VfuKWGfCSptYe+4yXaODiSXlsm/oxO8O9Gkd7mHi6Zy1m9qVKWiSzDMvH2Ji nakm513i1jsL1/6ZYGKce/tYCLFh80dNSS4Wutw42WxN3DV5gKXFz8LTnNb9 isTBUd/r7cRZuDxcXHdciQKF4Q35GxRYaKNywbOBmL8qJxDUWfhR7XbzVWLx 5f+oaK9hocJR9YP+xMzNjQv5jFiYl1bwxZyYWpUw0GHOQjsVlwRZYh65zJu5 dixc/VHs4JgimS/D3txt21mor35nUSPx0mKvy7weLKwXkp/JIPadtvUv9WWh 0PQOwaPEPaE7LuJRUl9oW68NcdjO8qwXESx85So4qEoc63803TGeheOXB5U5 iCVN97dWp7BQvbRdokOBnE+zGVNq11joti1c/x7x3S4d3qTbLCyfrYuPJ656 fcPsQxEL+5d6JnoQyxeuPahUycIq144nQPzYRClq/xMWNnvQlKWJ3fpK8pJe kv5MG2iMy5P9hL21prKVhazAI3ubiV0uK1d3d7LwdV96fS6xocmrvO/9LGzM 62mOITanXKJ/DbPw/acgLndiGRPFlGpZfrxf1qBUIkfWS55NTexGfhSQlnTl Iz4cUCdmG8SPP4xCBtxkyfcqbUer/D1+LITffvGLKEgo70scHOTH8omq8ioZ CnbsObG7TFUAi1+UbRuRJt8nEmkux3cLoH9mpdgKYstw8/byJwLIJzKr/UuS nE9pngrfFwtiSEOOa6MEWd9n8s5IRAuiXXDZvQJxsr+AhJ9hvyC+E8/hzBAj 8/2raC3/zgUoN2gi6i5KgdobI+k3bQtQnlneoLeQjPdFwQZzVSG8WxMYrkTu se9ux5xR2iOEt73VQyWFKchx8UyauiaE4W/Kt8kLUeBoYyDS9EEIpQ2/O65Z QEGtqyBcFRfGuUFRB0dBCriy9g52uAljqZK44xYBcn4p+ywSyRXGyo6Xd935 Sf+AoWw2Lowmr/lnY1gkf4vaNgSCCBpn5b4uZ5L9/OWnt5lxInjewUR2kkHO sy2mXBt6RPDO9xh1JeI9vQGlA2sX4uG4L09d+SjY+8nR+tSFhXiW1i94l5e8 j1+iitzwQgy9X32EhzgcNFQ8D4libVh3mgad3NMf3WrJHRXF9opzEf48ZLys DbhdncVQ/+S260M0ChpT0iaZtWI4/lOCfpjY/ScfZ9lScWzYvG4fD/GSzVv3 7UgUx8m6if5MbpIvJUZetClxzHnzr8AGYsnub6Z33CQwRv2b8CQX6U/eK/WN 9RI4s8lpKp84cVmn/TcNSWziuHbah9hRk1s06JokPq1QlVxBzLBzXs0lIIV4 OLVujJOC7PSoz/EhUti0ua2nhtj+zz96ot+kMJpfcSKJuOqoao2spzSqFizg dCe+4gjDKn3SePV8bpIBcdPdy1+Wu8ugk1RYmChxmr/MvCux6vnzYqqkvWwx Y4nzxPeVbPTLSFyp8PLKGuI9Pkm8AcRb1cPXjxDPzxtoWhG3PFzkouQhg12N mnu1iSG7JzaKuIJ25LAysdxocGkf8cGu1GgZ4lOZZRpOnjIYlr1CSZy4/fPz nIb9MniocWLu7/ucQ0gWDpHBz8zle0WI1Tq3Ht0WL4NRK/2kBIn1fMbeSWbJ oIavmy2N+MQHV7X2hzJofjajep6D3H85nA9dbJXB6Tj99ElirpgnbS/pi/AA n6rbEPGfo7xSXLrEUWpa3cSfPrTq6XgtQjn++2nvievLSxw5ZxdhwEzAh0ri gr64Y40JstiTJyuSSSwaV/AsabEczk63dscTR8q4OTo/kMPSNoZJMPEDZvTV L+ny2BeRlryLOGuhUke5kQI+oF0btyKmK53wmilUwF99DvlGxAqfRC+hoiJm HSswWkVskzK8/9ANRXTVSr+2hPhn/MKfNxSV0OXumoVyxK+lT+u8uaGETW/r WiSIYzZw2HIpKeNwlayaCHG57zeTVZnKqK93xVSQuKz+58pa58W4HR4pMIlt lcKH7Raq4NhQzxSd+MLa36nsFyro2S4ixkM8cq9P5VDUEiy8dcaM+2/5wNd3 OAxVMTm5L5GLOEP6oULCuCoeahM7xUlcGFaRJF+ghvra2TZ/bXDG8v7X60tR zGnnAw5i7xO6r+4nqmPUlL73X18Qte0/fnIZasgbHvrrhOyhGfMjy9FZJ4Lx 1we/ugcZzq/AsFeb6X/9ZoHp8Ko4DRRO5Ptf72YVr0mJ+wdvKm4S+WufBPPR mdQ1WNyuPTc/3wUnFaWKPDJ1MamexvE3fjmev9Aj0xD3C1hM/Y1HJvO3r7Iz xoHT27n/xv/XLab4f792/2M7s//6sQX9QNodc+T8j//vr6/Ff+P/A7Xm/t0= "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False], "[", "t", "]"}]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.929525223508198*^9}, CellLabel->"Out[58]=",ExpressionUUID->"abb121de-e515-4ba7-9a2a-168d10b865be"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"LogPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"Exp", "[", RowBox[{"y", "[", "t", "]"}], "]"}], "/.", "sol2"}], "]"}], ",", RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"x", "[", "t", "]"}], "/.", "sol"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "100"}], "}"}], ",", RowBox[{"PlotRange", "->", "All"}], ",", RowBox[{"PlotLegends", "->", RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\""}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.929185310794097*^9, 3.929185310794849*^9}, { 3.929525011755477*^9, 3.9295251636776114`*^9}, {3.929525220097843*^9, 3.929525221680408*^9}}, CellLabel->"In[59]:=",ExpressionUUID->"fde64c03-1458-468d-9237-36b2c6c876c5"], Cell[BoxData[ TemplateBox[{ GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], LineBox[CompressedData[" 1:eJwtz2k01Hscx/GhhbrmllA4qqEkHTczmSTLfL+W4V+yjKg/pRvCCIUoCS1c JZQ40UKNSgs3W6ZSVyU0l64WbcfSCXUt51KDNG3T3H/n/B58zuvJ58nbOHi7 T6g6i8UKY/ZTk6PK82fmNQiyrqpUYH7O4Yam+fxo8VlwS2P1W6UJoCGx4sJi cSXwtaImP+ZtgnzrdxvZR27Aw0B7272PYuABNzZ8qvgucEuLjKblpkCynuqm StIIegHdJps7MqAgTyj4niODH1f9T+m45kLljOzGz0kPwfdJf8bJwePwd3Y7 NRH+GDZXv1pUvaYI5OlaA4llT8E6r99MLC2BlMZKc4XkGWiL5rFvFZfCdPW1 UQmFL+CKXcnc/K4rUICfKsZzXgE/OE0MkRWwYO/J0dj0Dtj7rF6ReaEaqurt +fKkLjg7eYPuTZtaaLFNqxsOfwM2bbK4Oy11UG6vk7q8sgcipduC9Bv/gtGu LWfjy3qhtZvnf6vzLqQaavaNSd5C1q+6grmWjVBY6Bn+IWcA6rLVQnSErdB6 rCt2MPwDCIeWGs+d8QIOnShoyefJQcEfudxv+BIsxBBgVSkHiZqZ8/fFryBO 49ieuLJRaK5ePtvCvQN+CPl35JJxaFYMGBmfew36jUnOIzkKGP98NGvE7i2s rtfw7A9XAUdR0cyeNQw8VfDEbLkKWnIP6dVeGYZszu+PFtizcKJMmDHHcQTi g28l+Dax8GlHkIHu9vfg0h/TJH2uhgff5cFYiBz6Rl4HJU5MwgiTlDTp9THg KG8UKa010XClpeyimwLa2NbTJgfORKWXFvcPfRY6HRXeu+Slj4W5KtOXzC/U 8iubx+bgL2hw9bDmTPQwDx2d7bYQu5bPXJck1MWa5ykJLTaL8V6dVZWljT7a zVpSOXmvBRqAR9/jVCMM/5ZXXEpzUbOyZFMRzcHtDwasKj2W4TmnxLpyDxM8 HDDVVBnFxxQnv9FvUQsxRLYnjCe2xvpJT8a54kXYoGEgivS3wd07LU0j/Rcj T3tfwVC8Ldq9Uz84FL8EN487WHhG2WPYij8XeUZZYMmZZiNFjgDjr10yVOQs xWtHbLvafRC9rCwZuRh/y8G7eI0jnjo+RVS8hod3W0vHMjc4oaA8ejxzwzKM cFtZH0E7o07tKUYrLLrMk0ZudUHBJz4jH4+N1++P2SXE4HlSxuXYX5awUxzn ilu0oxmtsck178SBA274SnKEcQWqeXX2Hd1HYZvlT22Q5XhdTbJ7FfakXmZc iYfmKDzaD67GPRU3GW0xJiDkviLNHfelvWtQpNlh737+Fji+Bs89igiB4/ao m3+yM7PEA5+b5nRkljjgxZlLdstOe+JGOTtRdlqADXHzhWblXqhha+ViVg54 hiMxcvD1xl/LRYyI9clfWeIn3ljc/JIR0dhd4/uC9SKMSddkdMTax+ZZHc9F 2Oxgx+iI2Q9+cDmBPugu0+ZxAp0wf8fQ1s3dPmhaMMHohMl682aY+K/Fg8PG jM54xXxKa3zPWqIzTv2oZtCwyZfogpe41alnBnyJLmgeXOapjPYjCrFrVV2N 339+RCG2n0/6DXasI7ri52sie5OxdURXVN2Mk2ZsW090Q3euqzB5Yj3RDWWB lhGRO2gihbNCxLeLE2gihZvEJewnu2gihZ/idGr4yTSRwoWHFF+V6TSRwn01 d7NzC2gihbYa3lXSOppIYYZWpvrgbZpI4VPt+76Gd2gihWIj/pfU+zSRwkKe vhP1kCZS+HFDz7PObppIIQYZLGK/oYkUZoX5JEIvTaTQJLbJ6MK/NJFCUcbl 0Oj3NJHCoqzeG2flNJHCwVzD6e1jNJHpOZ1dYa2giRT+I2lmRXyhiRTOufjD 5/Q3mkhhcPmK0jYlTaSwoipGoVLRRAr/B9bJ68k= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ], TagBox[{ Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], LineBox[CompressedData[" 1:eJwV1Xs81PkXx/HRtmjLT3fyU81Kcism0hjM501ojBChbxeXkBlLJaktCSEl JpKojOjGRlFuRUtuIXQhSmRdIy01dJntMs3O/nEez8fr8Th/nP/Orz57XHZO o9FoB2XznxpJkisXl9SwtW5KpV7Gly3uKOos3cXPImPtM3N8Ytik5mDBVW1+ IUlVnuXRyfAkZ0yGtyudukNably4Gfk4mDQY7uXJ8+8T5uu/BYrJR0j4Auld aXYdWbNCK8PzZRxJS7Fhfxc0EtXW8Oo5tsmkUDmx7p+wFvLk+NLs9DdnSVNi O+cT7wkxoi5b3togJKLYWaMH89qIWjU9iVd6iRypK9QRZz8jM891WZVnXiO/ TNsUtD+9k1xkrPNN6blO0vC54IPgBdl+SK+dHVhAlkWen9wb+5L4bYpJi796 m9yqNDcWhfWQfhXNgDvMEvKQFVM+zusjziYzPlY+LCf55vMi1hT2k2mbc4dU 6v4kkz1+WaF5A6TzWf+X8u77JEJNcXAqe4jo1xw1WmxQR9LTHXnvBaOkr+TB jnk2zaT5dM/eN7z3pDfOdPli5U5y4lzawzMMEXm3SeH8iNpzos8nW40KRcRB a5XTd+0XJETh9OGQvEmi+7xQS9/+JflhY1wlyv5A9i63naJf7iWqdWHrJgRi wmxVuzBhNkS4lQqOIzwpmat3rFpp7jhhSH0+LRRJybCb7/yS6+Mkke71eJk5 DbVMz+MqlhMk1Kdiv2s9DYaWTWrz97wj1iPB9aUdcthTDUz5isjgRO+Og59+ Qo6Vf0xp2RShS+4IJSaKqE2d3ZizXkweKZnMmO4xG346IoNjqjRYJdlU5zqp wmelvNZz2d5Og69KDCU6RsfHC04qzoaDzs7Jhes1cdawzzXMZj6KOo7sf8jU xtJZ7wsMmKowm6tbOD1SH0kd8wafRKiD9y0l8xpliJ4vdz2FFB17GkaNCh1W oyprR0W+gwZObpVfLgkyxikT9uS3IE34Nh72Z/BNMAmrj4Z8LdQoLHIO3MJE 4ere5YFbtMGYE5U2FsqCt9jv+FioLrw/WOg7Bplj59tzWo5B+rh08YG6WMDG 3YTHamLBKhSfYvW0uwCx/sPd7S6GCK2w2Ji5wRLl2f+XycD95mtT8dusEO6c IXM1AtabVgZQ6yCq/08jCP9glAb+Zg3laXoyjXH6Q+XR4N9tMCEokrkGI3n7 D/BDbCHg75ZpgnrblHPR0eshfzJJ5lrIOXUPJkVx4Da0JvxxBBNNVW7LQmM5 4HbkLUyJZiJ5VZsvdYKD1NXhK1zjmKD/r2mYnszBdgFf8EzABB6VjtzO4kBF myasEjIRZX/67bMqDmwjF/eSCiZoHM6UioSDx877gpo+yNqyTC77kB2OfuU/ NfU2xVbr0eauI3aY6el1ttLXFCXrVVPnRNshsEI7i80zBd8xTCvmpB3q5svF MHebom0b294/ww5U41fhzHBTXD7QkKpfaQe+xoJBg3RTWN94vqKcxoWLeoBG WIspTqiIHdqPc1Ex8JkVrc9CalPTUG0CFwHFVwxXG7CQdejCoeIkLpbYHV/Z z2ChrMfiWmo6F334ZG2yloXXWbHf3XO5iKRHarRYsmClPTe/p4EL5xm61Hl3 Fr4zVyq+/tkerVHdiZ0RLARv9a0Vx9ijOP4tm9nMwsBRYz9ydgOWaw8fmNhi hvlnznfHX3LAovMhvS7tZsiZrXuoMcMR3scGYyOMzVETstRmRb4TfOS9fAZS zHGRnq1u4boRqvQu178GzFEZ/pXGf7oRkyMvguy1LfCrvcL3ZZudUV7msVZv twVKnugkvOxwhu3Du0a6eRZIbPhhSPdwwdU1pR5eIxY4s2/sN+9XLqgh0+Py 1dgIX7BEWWPLJjjp+Iff47JxXefn5tD+TfDOHAsuPsyG/Ee5RTWerhDZtPnX 57CRa3g74uKoK1rd+1/1t7Oh45PnKNnlhpIpv5Leb2z02JUXuf3thsCTrzrM 6ATtV8JWkn3uODASFdZuQ/BPsbO5xpQ73MW3S914BNK7IaVxuzejRc+Y0RlH YG9oaxP+aTPaFJZtF+YSNHoYBATuoyB3ZtdPknqCub78e5n7KXC06m4eeUDg yb+k9PR3CpVbs6x+yPpzyLwi43AKNCNFfWkDgeYJ8VdJLIX4mz4/pE0EUUX3 E5PTKETe4OVKWglYChtvlZZTKE31NRvrIIibFT/tzT0KXtyl1rxOgrY5ta5q VRTsA2QvRdZ8deMvEbUUMisaB/ufE6QzVK04LRT2dBdbvugi+Lit/1n3KwrV 40361a8IsGORllIfhcVNY+/MewkS/F0OkgEK4o9dwnJZa+ytV7/6mkKZg/mf RX8ROMf9sXPXOwrjZ1tnXO0nECYM3MkSUei7uUCPPkDwJlntl/YpCpY93kyh rKMyEgtMxBS2LFZRSR0kaM1+QAv4QmFEcuqN8hCBSs4Pl4xvFJITNHISZO2T v/baI4nsfs0uJ4VhgoJbwWKplMI6zbLX0bL+F4x7c+0= "]]}, Annotation[#, "Charting`Private`Tag#2"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwtz2k01Hscx/GhhbrmllA4qqEkHTczmSTLfL+W4V+yjKg/pRvCCIUoCS1c JZQ40UKNSgs3W6ZSVyU0l64WbcfSCXUt51KDNG3T3H/n/B58zuvJ58nbOHi7 T6g6i8UKY/ZTk6PK82fmNQiyrqpUYH7O4Yam+fxo8VlwS2P1W6UJoCGx4sJi cSXwtaImP+ZtgnzrdxvZR27Aw0B7272PYuABNzZ8qvgucEuLjKblpkCynuqm StIIegHdJps7MqAgTyj4niODH1f9T+m45kLljOzGz0kPwfdJf8bJwePwd3Y7 NRH+GDZXv1pUvaYI5OlaA4llT8E6r99MLC2BlMZKc4XkGWiL5rFvFZfCdPW1 UQmFL+CKXcnc/K4rUICfKsZzXgE/OE0MkRWwYO/J0dj0Dtj7rF6ReaEaqurt +fKkLjg7eYPuTZtaaLFNqxsOfwM2bbK4Oy11UG6vk7q8sgcipduC9Bv/gtGu LWfjy3qhtZvnf6vzLqQaavaNSd5C1q+6grmWjVBY6Bn+IWcA6rLVQnSErdB6 rCt2MPwDCIeWGs+d8QIOnShoyefJQcEfudxv+BIsxBBgVSkHiZqZ8/fFryBO 49ieuLJRaK5ePtvCvQN+CPl35JJxaFYMGBmfew36jUnOIzkKGP98NGvE7i2s rtfw7A9XAUdR0cyeNQw8VfDEbLkKWnIP6dVeGYZszu+PFtizcKJMmDHHcQTi g28l+Dax8GlHkIHu9vfg0h/TJH2uhgff5cFYiBz6Rl4HJU5MwgiTlDTp9THg KG8UKa010XClpeyimwLa2NbTJgfORKWXFvcPfRY6HRXeu+Slj4W5KtOXzC/U 8iubx+bgL2hw9bDmTPQwDx2d7bYQu5bPXJck1MWa5ykJLTaL8V6dVZWljT7a zVpSOXmvBRqAR9/jVCMM/5ZXXEpzUbOyZFMRzcHtDwasKj2W4TmnxLpyDxM8 HDDVVBnFxxQnv9FvUQsxRLYnjCe2xvpJT8a54kXYoGEgivS3wd07LU0j/Rcj T3tfwVC8Ldq9Uz84FL8EN487WHhG2WPYij8XeUZZYMmZZiNFjgDjr10yVOQs xWtHbLvafRC9rCwZuRh/y8G7eI0jnjo+RVS8hod3W0vHMjc4oaA8ejxzwzKM cFtZH0E7o07tKUYrLLrMk0ZudUHBJz4jH4+N1++P2SXE4HlSxuXYX5awUxzn ilu0oxmtsck178SBA274SnKEcQWqeXX2Hd1HYZvlT22Q5XhdTbJ7FfakXmZc iYfmKDzaD67GPRU3GW0xJiDkviLNHfelvWtQpNlh737+Fji+Bs89igiB4/ao m3+yM7PEA5+b5nRkljjgxZlLdstOe+JGOTtRdlqADXHzhWblXqhha+ViVg54 hiMxcvD1xl/LRYyI9clfWeIn3ljc/JIR0dhd4/uC9SKMSddkdMTax+ZZHc9F 2Oxgx+iI2Q9+cDmBPugu0+ZxAp0wf8fQ1s3dPmhaMMHohMl682aY+K/Fg8PG jM54xXxKa3zPWqIzTv2oZtCwyZfogpe41alnBnyJLmgeXOapjPYjCrFrVV2N 339+RCG2n0/6DXasI7ri52sie5OxdURXVN2Mk2ZsW090Q3euqzB5Yj3RDWWB lhGRO2gihbNCxLeLE2gihZvEJewnu2gihZ/idGr4yTSRwoWHFF+V6TSRwn01 d7NzC2gihbYa3lXSOppIYYZWpvrgbZpI4VPt+76Gd2gihWIj/pfU+zSRwkKe vhP1kCZS+HFDz7PObppIIQYZLGK/oYkUZoX5JEIvTaTQJLbJ6MK/NJFCUcbl 0Oj3NJHCoqzeG2flNJHCwVzD6e1jNJHpOZ1dYa2giRT+I2lmRXyhiRTOufjD 5/Q3mkhhcPmK0jYlTaSwoipGoVLRRAr/B9bJ68k= "]]}, "Charting`Private`Tag#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwV1Xs81PkXx/HRtmjLT3fyU81Kcism0hjM501ojBChbxeXkBlLJaktCSEl JpKojOjGRlFuRUtuIXQhSmRdIy01dJntMs3O/nEez8fr8Th/nP/Orz57XHZO o9FoB2XznxpJkisXl9SwtW5KpV7Gly3uKOos3cXPImPtM3N8Ytik5mDBVW1+ IUlVnuXRyfAkZ0yGtyudukNably4Gfk4mDQY7uXJ8+8T5uu/BYrJR0j4Auld aXYdWbNCK8PzZRxJS7Fhfxc0EtXW8Oo5tsmkUDmx7p+wFvLk+NLs9DdnSVNi O+cT7wkxoi5b3togJKLYWaMH89qIWjU9iVd6iRypK9QRZz8jM891WZVnXiO/ TNsUtD+9k1xkrPNN6blO0vC54IPgBdl+SK+dHVhAlkWen9wb+5L4bYpJi796 m9yqNDcWhfWQfhXNgDvMEvKQFVM+zusjziYzPlY+LCf55vMi1hT2k2mbc4dU 6v4kkz1+WaF5A6TzWf+X8u77JEJNcXAqe4jo1xw1WmxQR9LTHXnvBaOkr+TB jnk2zaT5dM/eN7z3pDfOdPli5U5y4lzawzMMEXm3SeH8iNpzos8nW40KRcRB a5XTd+0XJETh9OGQvEmi+7xQS9/+JflhY1wlyv5A9i63naJf7iWqdWHrJgRi wmxVuzBhNkS4lQqOIzwpmat3rFpp7jhhSH0+LRRJybCb7/yS6+Mkke71eJk5 DbVMz+MqlhMk1Kdiv2s9DYaWTWrz97wj1iPB9aUdcthTDUz5isjgRO+Og59+ Qo6Vf0xp2RShS+4IJSaKqE2d3ZizXkweKZnMmO4xG346IoNjqjRYJdlU5zqp wmelvNZz2d5Og69KDCU6RsfHC04qzoaDzs7Jhes1cdawzzXMZj6KOo7sf8jU xtJZ7wsMmKowm6tbOD1SH0kd8wafRKiD9y0l8xpliJ4vdz2FFB17GkaNCh1W oyprR0W+gwZObpVfLgkyxikT9uS3IE34Nh72Z/BNMAmrj4Z8LdQoLHIO3MJE 4ere5YFbtMGYE5U2FsqCt9jv+FioLrw/WOg7Bplj59tzWo5B+rh08YG6WMDG 3YTHamLBKhSfYvW0uwCx/sPd7S6GCK2w2Ji5wRLl2f+XycD95mtT8dusEO6c IXM1AtabVgZQ6yCq/08jCP9glAb+Zg3laXoyjXH6Q+XR4N9tMCEokrkGI3n7 D/BDbCHg75ZpgnrblHPR0eshfzJJ5lrIOXUPJkVx4Da0JvxxBBNNVW7LQmM5 4HbkLUyJZiJ5VZsvdYKD1NXhK1zjmKD/r2mYnszBdgFf8EzABB6VjtzO4kBF myasEjIRZX/67bMqDmwjF/eSCiZoHM6UioSDx877gpo+yNqyTC77kB2OfuU/ NfU2xVbr0eauI3aY6el1ttLXFCXrVVPnRNshsEI7i80zBd8xTCvmpB3q5svF MHebom0b294/ww5U41fhzHBTXD7QkKpfaQe+xoJBg3RTWN94vqKcxoWLeoBG WIspTqiIHdqPc1Ex8JkVrc9CalPTUG0CFwHFVwxXG7CQdejCoeIkLpbYHV/Z z2ChrMfiWmo6F334ZG2yloXXWbHf3XO5iKRHarRYsmClPTe/p4EL5xm61Hl3 Fr4zVyq+/tkerVHdiZ0RLARv9a0Vx9ijOP4tm9nMwsBRYz9ydgOWaw8fmNhi hvlnznfHX3LAovMhvS7tZsiZrXuoMcMR3scGYyOMzVETstRmRb4TfOS9fAZS zHGRnq1u4boRqvQu178GzFEZ/pXGf7oRkyMvguy1LfCrvcL3ZZudUV7msVZv twVKnugkvOxwhu3Du0a6eRZIbPhhSPdwwdU1pR5eIxY4s2/sN+9XLqgh0+Py 1dgIX7BEWWPLJjjp+Iff47JxXefn5tD+TfDOHAsuPsyG/Ee5RTWerhDZtPnX 57CRa3g74uKoK1rd+1/1t7Oh45PnKNnlhpIpv5Leb2z02JUXuf3thsCTrzrM 6ATtV8JWkn3uODASFdZuQ/BPsbO5xpQ73MW3S914BNK7IaVxuzejRc+Y0RlH YG9oaxP+aTPaFJZtF+YSNHoYBATuoyB3ZtdPknqCub78e5n7KXC06m4eeUDg yb+k9PR3CpVbs6x+yPpzyLwi43AKNCNFfWkDgeYJ8VdJLIX4mz4/pE0EUUX3 E5PTKETe4OVKWglYChtvlZZTKE31NRvrIIibFT/tzT0KXtyl1rxOgrY5ta5q VRTsA2QvRdZ8deMvEbUUMisaB/ufE6QzVK04LRT2dBdbvugi+Lit/1n3KwrV 40361a8IsGORllIfhcVNY+/MewkS/F0OkgEK4o9dwnJZa+ytV7/6mkKZg/mf RX8ROMf9sXPXOwrjZ1tnXO0nECYM3MkSUei7uUCPPkDwJlntl/YpCpY93kyh rKMyEgtMxBS2LFZRSR0kaM1+QAv4QmFEcuqN8hCBSs4Pl4xvFJITNHISZO2T v/baI4nsfs0uJ4VhgoJbwWKplMI6zbLX0bL+F4x7c+0= "]]}, "Charting`Private`Tag#2"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0.}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Exp[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, {Log, Exp}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0.}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Exp[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, {Log, Exp}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwtz2k01Hscx/GhhbrmllA4qqEkHTczmSTLfL+W4V+yjKg/pRvCCIUoCS1c JZQ40UKNSgs3W6ZSVyU0l64WbcfSCXUt51KDNG3T3H/n/B58zuvJ58nbOHi7 T6g6i8UKY/ZTk6PK82fmNQiyrqpUYH7O4Yam+fxo8VlwS2P1W6UJoCGx4sJi cSXwtaImP+ZtgnzrdxvZR27Aw0B7272PYuABNzZ8qvgucEuLjKblpkCynuqm StIIegHdJps7MqAgTyj4niODH1f9T+m45kLljOzGz0kPwfdJf8bJwePwd3Y7 NRH+GDZXv1pUvaYI5OlaA4llT8E6r99MLC2BlMZKc4XkGWiL5rFvFZfCdPW1 UQmFL+CKXcnc/K4rUICfKsZzXgE/OE0MkRWwYO/J0dj0Dtj7rF6ReaEaqurt +fKkLjg7eYPuTZtaaLFNqxsOfwM2bbK4Oy11UG6vk7q8sgcipduC9Bv/gtGu LWfjy3qhtZvnf6vzLqQaavaNSd5C1q+6grmWjVBY6Bn+IWcA6rLVQnSErdB6 rCt2MPwDCIeWGs+d8QIOnShoyefJQcEfudxv+BIsxBBgVSkHiZqZ8/fFryBO 49ieuLJRaK5ePtvCvQN+CPl35JJxaFYMGBmfew36jUnOIzkKGP98NGvE7i2s rtfw7A9XAUdR0cyeNQw8VfDEbLkKWnIP6dVeGYZszu+PFtizcKJMmDHHcQTi g28l+Dax8GlHkIHu9vfg0h/TJH2uhgff5cFYiBz6Rl4HJU5MwgiTlDTp9THg KG8UKa010XClpeyimwLa2NbTJgfORKWXFvcPfRY6HRXeu+Slj4W5KtOXzC/U 8iubx+bgL2hw9bDmTPQwDx2d7bYQu5bPXJck1MWa5ykJLTaL8V6dVZWljT7a zVpSOXmvBRqAR9/jVCMM/5ZXXEpzUbOyZFMRzcHtDwasKj2W4TmnxLpyDxM8 HDDVVBnFxxQnv9FvUQsxRLYnjCe2xvpJT8a54kXYoGEgivS3wd07LU0j/Rcj T3tfwVC8Ldq9Uz84FL8EN487WHhG2WPYij8XeUZZYMmZZiNFjgDjr10yVOQs xWtHbLvafRC9rCwZuRh/y8G7eI0jnjo+RVS8hod3W0vHMjc4oaA8ejxzwzKM cFtZH0E7o07tKUYrLLrMk0ZudUHBJz4jH4+N1++P2SXE4HlSxuXYX5awUxzn ilu0oxmtsck178SBA274SnKEcQWqeXX2Hd1HYZvlT22Q5XhdTbJ7FfakXmZc iYfmKDzaD67GPRU3GW0xJiDkviLNHfelvWtQpNlh737+Fji+Bs89igiB4/ao m3+yM7PEA5+b5nRkljjgxZlLdstOe+JGOTtRdlqADXHzhWblXqhha+ViVg54 hiMxcvD1xl/LRYyI9clfWeIn3ljc/JIR0dhd4/uC9SKMSddkdMTax+ZZHc9F 2Oxgx+iI2Q9+cDmBPugu0+ZxAp0wf8fQ1s3dPmhaMMHohMl682aY+K/Fg8PG jM54xXxKa3zPWqIzTv2oZtCwyZfogpe41alnBnyJLmgeXOapjPYjCrFrVV2N 339+RCG2n0/6DXasI7ri52sie5OxdURXVN2Mk2ZsW090Q3euqzB5Yj3RDWWB lhGRO2gihbNCxLeLE2gihZvEJewnu2gihZ/idGr4yTSRwoWHFF+V6TSRwn01 d7NzC2gihbYa3lXSOppIYYZWpvrgbZpI4VPt+76Gd2gihWIj/pfU+zSRwkKe vhP1kCZS+HFDz7PObppIIQYZLGK/oYkUZoX5JEIvTaTQJLbJ6MK/NJFCUcbl 0Oj3NJHCoqzeG2flNJHCwVzD6e1jNJHpOZ1dYa2giRT+I2lmRXyhiRTOufjD 5/Q3mkhhcPmK0jYlTaSwoipGoVLRRAr/B9bJ68k= "]]}, "Charting`Private`Tag#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwV1Xs81PkXx/HRtmjLT3fyU81Kcism0hjM501ojBChbxeXkBlLJaktCSEl JpKojOjGRlFuRUtuIXQhSmRdIy01dJntMs3O/nEez8fr8Th/nP/Orz57XHZO o9FoB2XznxpJkisXl9SwtW5KpV7Gly3uKOos3cXPImPtM3N8Ytik5mDBVW1+ IUlVnuXRyfAkZ0yGtyudukNably4Gfk4mDQY7uXJ8+8T5uu/BYrJR0j4Auld aXYdWbNCK8PzZRxJS7Fhfxc0EtXW8Oo5tsmkUDmx7p+wFvLk+NLs9DdnSVNi O+cT7wkxoi5b3togJKLYWaMH89qIWjU9iVd6iRypK9QRZz8jM891WZVnXiO/ TNsUtD+9k1xkrPNN6blO0vC54IPgBdl+SK+dHVhAlkWen9wb+5L4bYpJi796 m9yqNDcWhfWQfhXNgDvMEvKQFVM+zusjziYzPlY+LCf55vMi1hT2k2mbc4dU 6v4kkz1+WaF5A6TzWf+X8u77JEJNcXAqe4jo1xw1WmxQR9LTHXnvBaOkr+TB jnk2zaT5dM/eN7z3pDfOdPli5U5y4lzawzMMEXm3SeH8iNpzos8nW40KRcRB a5XTd+0XJETh9OGQvEmi+7xQS9/+JflhY1wlyv5A9i63naJf7iWqdWHrJgRi wmxVuzBhNkS4lQqOIzwpmat3rFpp7jhhSH0+LRRJybCb7/yS6+Mkke71eJk5 DbVMz+MqlhMk1Kdiv2s9DYaWTWrz97wj1iPB9aUdcthTDUz5isjgRO+Og59+ Qo6Vf0xp2RShS+4IJSaKqE2d3ZizXkweKZnMmO4xG346IoNjqjRYJdlU5zqp wmelvNZz2d5Og69KDCU6RsfHC04qzoaDzs7Jhes1cdawzzXMZj6KOo7sf8jU xtJZ7wsMmKowm6tbOD1SH0kd8wafRKiD9y0l8xpliJ4vdz2FFB17GkaNCh1W oyprR0W+gwZObpVfLgkyxikT9uS3IE34Nh72Z/BNMAmrj4Z8LdQoLHIO3MJE 4ere5YFbtMGYE5U2FsqCt9jv+FioLrw/WOg7Bplj59tzWo5B+rh08YG6WMDG 3YTHamLBKhSfYvW0uwCx/sPd7S6GCK2w2Ji5wRLl2f+XycD95mtT8dusEO6c IXM1AtabVgZQ6yCq/08jCP9glAb+Zg3laXoyjXH6Q+XR4N9tMCEokrkGI3n7 D/BDbCHg75ZpgnrblHPR0eshfzJJ5lrIOXUPJkVx4Da0JvxxBBNNVW7LQmM5 4HbkLUyJZiJ5VZsvdYKD1NXhK1zjmKD/r2mYnszBdgFf8EzABB6VjtzO4kBF myasEjIRZX/67bMqDmwjF/eSCiZoHM6UioSDx877gpo+yNqyTC77kB2OfuU/ NfU2xVbr0eauI3aY6el1ttLXFCXrVVPnRNshsEI7i80zBd8xTCvmpB3q5svF MHebom0b294/ww5U41fhzHBTXD7QkKpfaQe+xoJBg3RTWN94vqKcxoWLeoBG WIspTqiIHdqPc1Ex8JkVrc9CalPTUG0CFwHFVwxXG7CQdejCoeIkLpbYHV/Z z2ChrMfiWmo6F334ZG2yloXXWbHf3XO5iKRHarRYsmClPTe/p4EL5xm61Hl3 Fr4zVyq+/tkerVHdiZ0RLARv9a0Vx9ijOP4tm9nMwsBRYz9ydgOWaw8fmNhi hvlnznfHX3LAovMhvS7tZsiZrXuoMcMR3scGYyOMzVETstRmRb4TfOS9fAZS zHGRnq1u4boRqvQu178GzFEZ/pXGf7oRkyMvguy1LfCrvcL3ZZudUV7msVZv twVKnugkvOxwhu3Du0a6eRZIbPhhSPdwwdU1pR5eIxY4s2/sN+9XLqgh0+Py 1dgIX7BEWWPLJjjp+Iff47JxXefn5tD+TfDOHAsuPsyG/Ee5RTWerhDZtPnX 57CRa3g74uKoK1rd+1/1t7Oh45PnKNnlhpIpv5Leb2z02JUXuf3thsCTrzrM 6ATtV8JWkn3uODASFdZuQ/BPsbO5xpQ73MW3S914BNK7IaVxuzejRc+Y0RlH YG9oaxP+aTPaFJZtF+YSNHoYBATuoyB3ZtdPknqCub78e5n7KXC06m4eeUDg yb+k9PR3CpVbs6x+yPpzyLwi43AKNCNFfWkDgeYJ8VdJLIX4mz4/pE0EUUX3 E5PTKETe4OVKWglYChtvlZZTKE31NRvrIIibFT/tzT0KXtyl1rxOgrY5ta5q VRTsA2QvRdZ8deMvEbUUMisaB/ufE6QzVK04LRT2dBdbvugi+Lit/1n3KwrV 40361a8IsGORllIfhcVNY+/MewkS/F0OkgEK4o9dwnJZa+ytV7/6mkKZg/mf RX8ROMf9sXPXOwrjZ1tnXO0nECYM3MkSUei7uUCPPkDwJlntl/YpCpY93kyh rKMyEgtMxBS2LFZRSR0kaM1+QAv4QmFEcuqN8hCBSs4Pl4xvFJITNHISZO2T v/baI4nsfs0uJ4VhgoJbwWKplMI6zbLX0bL+F4x7c+0= "]]}, "Charting`Private`Tag#2"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0.}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Exp[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, {Log, Exp}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Exp[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Exp[#]& )[ Part[#, 2]]}& )}}, DisplayFunction -> Identity, DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Charting`ScaledTicks[{Log, Exp}, {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, RotateLabel -> 0]}, AxesOrigin -> {0, 0.}, FrameTicks -> {{ Charting`ScaledTicks[{Log, Exp}, {Log, Exp}, "Nice", WorkingPrecision -> MachinePrecision, RotateLabel -> 0], Charting`ScaledFrameTicks[{Log, Exp}]}, {Automatic, Automatic}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Exp[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Exp[#]& )[ Part[#, 2]]}& )}, "ClippingRange" -> {{{2.040816326530612*^-6, 99.99999795918367}, { 8.258727035547511*^-12, 49.99999897959184}}, {{2.040816326530612*^-6, 99.99999795918367}, {8.258727035547511*^-12, 49.99999897959184}}}}, DisplayFunction -> Identity, AspectRatio -> NCache[GoldenRatio^(-1), 0.6180339887498948], Axes -> {True, True}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{False, False}, {False, False}}, FrameLabel -> {{None, None}, {None, None}}, FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Exp[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Exp[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, { Automatic, Automatic}}, Ticks -> {Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{ "\"L\[ODoubleDot]sung mit Reparametrizierung\"", "\"Direkte L\[ODoubleDot]sung\""}, "LineLegend", DisplayFunction -> (FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], { LineBox[{{0, 12.5}, {20, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], { LineBox[{{0, 12.5}, {20, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #2}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), InterpretationFunction :> (RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.368417, 0.506779, 0.709798]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.880722, 0.611041, 0.142051]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), Editable -> True], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", CellChangeTimes->{3.929185311375496*^9, 3.9293818157874928`*^9, 3.929418979367263*^9, 3.929429838786881*^9, 3.929434293974203*^9, 3.9295251078287888`*^9, 3.9295251640913057`*^9, 3.929525225486574*^9}, CellLabel->"Out[59]=",ExpressionUUID->"7ef2fba9-6823-40c8-bed1-8f1efe9c390b"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["5. Aufgabe", "Subsection", CellChangeTimes->{{3.92788163522797*^9, 3.927881644241858*^9}, { 3.92942979266291*^9, 3.929429793392391*^9}},ExpressionUUID->"a8035bea-e525-4423-8c84-\ 225cdc45482c"], Cell[TextData[{ "Gegeben Sei eine Liste mit Werten f\[UDoubleDot]r die Zeit, die \ Ortskoordinate und die Geschwindigkeit einer Masse: \n ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["Liste", FontSlant -> "Plain"], "\[LongEqual]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ SubscriptBox[ StyleBox["t", "TI"], "1"], ",", SubscriptBox[ StyleBox["x", "TI"], "1"], ",", SubscriptBox[ StyleBox["v", "TI"], "1"]}], "}"}], ",", RowBox[{"{", RowBox[{ SubscriptBox[ StyleBox["t", "TI"], "2"], ",", SubscriptBox[ StyleBox["x", "TI"], "2"], ",", SubscriptBox[ StyleBox["v", "TI"], "2"]}], "}"}], ",", "....", ",", RowBox[{"{", RowBox[{ SubscriptBox[ StyleBox["t", "TI"], StyleBox["n", "TI"]], ",", SubscriptBox[ StyleBox["x", "TI"], StyleBox["n", "TI"]], ",", SubscriptBox[ StyleBox["v", "TI"], StyleBox["n", "TI"]]}], "}"}]}], "}"}], "."}], TraditionalForm], "errors" -> {}, "input" -> "\\mathrm{Liste}=\\{\\{t_1, x_1, v_1\\},\n\ \\{t_2,x_2,v_2\\},....,\\{t_n,x_n,v_n\\}\\}.", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "c5feb617-7468-492a-88c0-3d4fb612828a"], "\nBestimmen Sie Interpolationen f\[UDoubleDot]r die Ortskoordinate ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], "(", StyleBox["t", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "x(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "927bf5a7-d4e4-4a0a-8054-790aa74bb54b"], " und die Geschwindigkeit ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["v", "TI"], "(", StyleBox["t", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "v(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "6c948dca-760c-45a9-b0fc-d3585735aa58"], ". Bestimmen Sie daraus die kinetische Energie ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ SubscriptBox[ StyleBox["E", "TI"], StyleBox["kin", FontSlant -> "Plain"]], "\[LongEqual]", FractionBox["1", "2"], StyleBox["m", "TI"], SuperscriptBox[ StyleBox["v", "TI"], "2"]}], TraditionalForm], "errors" -> {}, "input" -> "E_{\\mathrm{kin}}=\\frac{1}{2} m v ^2", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "359ab9c8-563c-4ae0-89af-2d7c29d0b8e9"], " und die potentielle Energie, wobei das Potential durch ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["V", "TI"], RowBox[{"(", StyleBox["x", "TI"], ")"}], "\[LongEqual]", "0.5", SuperscriptBox[ StyleBox["x", "TI"], "2"], "+", "0.1", SuperscriptBox[ StyleBox["x", "TI"], "4"], "-", "0.6", SuperscriptBox[ StyleBox["x", "TI"], "3"]}], TraditionalForm], "errors" -> {}, "input" -> "V(x)= 0.5 x^2 + 0.1 x^4 - 0.6 x^3", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "20d1e4dc-73bd-4f92-802e-dda9ffa0c3c4"], " gegeben ist und die Masse ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["m", "TI"], "\[LongEqual]", "1"}], TraditionalForm], "errors" -> {}, "input" -> "m=1", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "a3d717d7-9f44-48d5-ad26-e26d2e868171"], ". \[CapitalUDoubleDot]berpr\[UDoubleDot]fen Sie, dass die Gesamtenergie ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["U", "TI"], "\[LongEqual]", SubscriptBox[ StyleBox["E", "TI"], StyleBox["kin", FontSlant -> "Plain"]], "+", StyleBox["V", "TI"]}], TraditionalForm], "errors" -> {}, "input" -> "U=E_{\\mathrm{kin}}+V", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "f6e205e5-db66-4c5e-a7fc-89a4d77d46ad"], " erhalten bleibt. " }], "Text", CellChangeTimes->{{3.927801965724678*^9, 3.927801967820498*^9}, 3.92788163038666*^9, {3.927881790514579*^9, 3.927881830327923*^9}, { 3.927881863751809*^9, 3.927881944899067*^9}, {3.927882325970059*^9, 3.927882364160006*^9}, {3.927882397545876*^9, 3.927882543724637*^9}, 3.927882578446169*^9, 3.927885975252193*^9, {3.928209171355524*^9, 3.928209268471307*^9}, {3.928209386229618*^9, 3.9282094053739443`*^9}, 3.9289037279345922`*^9, {3.929102096091022*^9, 3.9291021846662407`*^9}, { 3.9293820541631527`*^9, 3.929382201642511*^9}, {3.929383018195404*^9, 3.929383033915267*^9}, {3.9294309755699463`*^9, 3.929431135040403*^9}, { 3.929431368996051*^9, 3.929431371494918*^9}, {3.9294314069617643`*^9, 3.9294314384302692`*^9}, {3.929431574736041*^9, 3.929431597787423*^9}, { 3.929431633643922*^9, 3.929431636157304*^9}, {3.9294322712423887`*^9, 3.929432348377823*^9}, {3.929432425672092*^9, 3.929432467331047*^9}, { 3.929432891226656*^9, 3.9294329169637814`*^9}}, Background->RGBColor[ 0.94, 0.88, 0.94],ExpressionUUID->"43498629-e356-4c77-80b8-e9fcab297361"], Cell[TextData[{ StyleBox["Hinweis : ", FontWeight->"Bold"], "N\[UDoubleDot]tzliche Befehle", StyleBox[" Interpolation[ ], Plot", FontWeight->"Bold"] }], "Text", CellChangeTimes->{{3.927801965724678*^9, 3.927801967820498*^9}, 3.92788163038666*^9, {3.927881790514579*^9, 3.927881830327923*^9}, { 3.927881863751809*^9, 3.927881944899067*^9}, {3.927882325970059*^9, 3.927882364160006*^9}, {3.927882397545876*^9, 3.927882570905937*^9}, 3.928903746360633*^9, {3.929432492618292*^9, 3.929432498027419*^9}, { 3.929432946094839*^9, 3.9294329474313593`*^9}, {3.9294334378422947`*^9, 3.929433440358387*^9}}, Background->RGBColor[ 0.87, 0.94, 1],ExpressionUUID->"57213f74-b610-4fd9-992a-1afcbc57a3ce"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"V", "[", "\[Phi]_", "]"}], ":=", RowBox[{ RowBox[{ RowBox[{"1", "/", "2"}], "*", RowBox[{ RowBox[{"(", "\[Phi]", ")"}], "^", "2"}]}], " ", "+", RowBox[{"0.1", "*", RowBox[{"\[Phi]", "^", "4"}]}], "-", RowBox[{"0.6", RowBox[{"\[Phi]", "^", "3"}]}]}]}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"V", "[", "\[Phi]", "]"}], ",", RowBox[{"{", RowBox[{"\[Phi]", ",", RowBox[{"-", "1"}], ",", "6"}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.929374222768293*^9, 3.929374240197967*^9}, { 3.929374294489028*^9, 3.929374381412705*^9}, {3.9293745336663313`*^9, 3.929374565818317*^9}, {3.9293748394642467`*^9, 3.929374924669593*^9}, { 3.92937496717275*^9, 3.9293752275071297`*^9}, {3.929376375066*^9, 3.929376401204315*^9}, {3.929379040335096*^9, 3.929379199329108*^9}, 3.929379648461308*^9, {3.929431644598826*^9, 3.929431667589649*^9}, { 3.929431700549581*^9, 3.929431720726783*^9}, {3.9294320144066467`*^9, 3.929432018293198*^9}, {3.92943279495122*^9, 3.929432800031863*^9}}, CellLabel->"In[37]:=",ExpressionUUID->"9501511c-8fc2-4e5d-be61-cdb9fabfdc34"], Cell[BoxData[ GraphicsBox[ InterpretationBox[{ TagBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3c81f8Xx0VkXNcdhSShkiRpIcr5EJJRSEUhKXvkG0WSJEULFWUnItsN SaH3ByV7z8ge195b+X1+/9z7eD7O+30+57ze57yHmMUNA0tWFhYWNeLn//9i f3Sz1tcnEemNZ+6hw7PAMXzPxHZiEslGHlsTFpiFkbk09oaOSWS9iaqwc3UG Mklko4Svk+hIvrXRw+IZUD1evabjMon6owa8gs7PgEXEGY3wwQl0VVfKv9Zr GmKNz7YdqRpH4kasrTPlk/DY8r5PdN44cuk3w/zDJsHuv4x9nMnjaOOP5hR9 m0k49ITPq/3xOFKo1KJ4c0xCUW6NuA82jhJDpNNPqU9Ar4CeQ03WGKro3qpj XTkGO5v11m3DR9HV38EzVJYRcFIQnTHyG0UTxdrXdeuG4Vv4ZP8p11FEO7rm Vhg7DHpXAsp3nxlFidUcYwYaw+DJrAjp2TCKoupIrfxBTGhc0ZA2th1B7ncn bDfIDMHjHSeMNRWG0WRMaaHRq36oe0DSkd89jHyCJcbN7PpBuL9dWYI2jASz frOGqfZDZqLHro1jTGTwos0ocbYPOg/mTqJ3TLTR3yT2gFEfyKsdfiy/iYmy l4Ku41K9wLTZmyXRPIg8mRebGoe7oKTLY5vxj0HkW9ZM/5HcBR8uVD58ljmI 5rO+DLI7dIG52g3DqYBBdEWv/or3ZCe07vg8//XUIGq1YlfWWvkDpc2Ygu7X AWTD4lPzT6QDktSMClwi+1H9PhPXi3Gt4J+XtDvhaT/y3hK3Za9TK1gdWn3R 6t6PFh5NCGocawVx0WizE+f7ka6i2LWrtS0Qvtq3zkHuR9LfqK38rC3wNPOG avj9PpRsosGu49IEdqJ+v3CLXuQ688vD6Fk9VBZ+faOj34uqpVaXOczrQeba mGUr9KJBhwvHF4/Uw2y8/sYp4V7EpUA9HtlVB577hFV2tPQgpwtWj2bk6yBQ 7tO3e9o96HGq4meN4RrI1mlPUzzSjW61V1tcO1YB/BO890rEu1FyZKS0/Uw5 3AnEdAyo3SheVL9sOKUc7n7Qbmro6EKioyJjp0XLISCj+8wh/S40cZM+85Rc Blk/uVUnj3Wi27QSma8sv+DftJmkLU8HavgwdGfLsWJ42cN66dlAOzrwsUfT frUIdtUlPEtD7UjvuKST8vciOM2YmJh2aUcL/xnVXFIvgmAnr88eHb/RjXvp XmbGhSA1GqX6PK0NsYRxYLqyCAp+q7im+7WhBNmqPtkf30GvfCC+9mobuml5 dG7d6DvcStrPtYW/DT1akw8xeVQAuHVBTZRXK7ILifCeZ+bBhf4Ok4yzLajE 5K1C4+9cGG7wDqjb24Jyo20E/nnmgmfxLnyWrQVt+yzjtFE0F97HOuxUyG1G cpZfa2NtvsCY+dowLtqM/l0Qe0PamAM+f7a51U83Io0hkmeJRRakN196Of+6 Hnl6XR8avZkGVpOs6dHO9UjoxnxYx2wq7OBMKT+lW49upWztFbqdCkHHVtnC OeqRx0q+g4dXCrhERtxWvlOHHhTUC0RFJ4GCRcdlP7Na1GMr8+7AtgSY8vB1 l1WqRYKs+ka6jHhIei0d0iZQi0wmdAvfa8TD0afLkRdja9D7fI5l5u0PsHJW 0SfGrxpJ7y10KRuIBd/2PJ1DBpXoiZf0lQOL72CeRHrsy1OJfj1fbZ3QeAdW yiao+UcFeuL3qGIiNBpOv187eFe+AlWoarLEn4wCsvUJgR/C5WhIeF40Kisc 7oe+0ONvLkMPX5XW07aEw1TZnyc2gWVIXcqvK9M9DBqkvdZIrGVooqSex1oj FEJnvvecH/qFcmWWJw1WQ4BrF9+2xJhfaMegUla1Ywh4nL9iuGL8C6mx5o6Z 9QaDae56SXRlCRq7tdT9qe41iHthqUOffqK/063NTaUvIYWr6PYdz2LUUXTj 7M39zyE3OLC5+0Ax4h3oGVXHnkHJDlM5zb4i9Njkj9Obi0+h++jSPL9WEdrn /4vz9Wt/4LeQuZUtUIhe9iUrnMAewa7x1cZtFTg62Oj4QfG2Lxx0Lzvy0AtH dt/sF70YDyFUuIwZV46Q938KPoUHfWDjraNDnZYFqMgu+e9ApRfseFabkFaZ j1zEh6pa794Dxff2Vp6H89G9Y6JJE4c8wbnq/cDWDXmI/bCx55mvd6B9N7nf MDIXaXaaP3fYfQsWlJLidrLlomyVh/7sm12BYqB2bcb2CxJM1d5kxO0CGl4e vYHyOai746DEPO9/kNk82F1en4UW216ZqnXZQdXYg5iwY1lI7ffhkkNHbYHJ ut3cJiYTxUd/CysOswaRA+e62J0+IdWj1yavB1yHY+oT0Y2NDHQuUbBQReQa GF5+YhanxEC7xNojjfOvAo3vft4DWjrK/rdxLUHdDDSVPivu6E5FIx/8Tm5s vgxe1qNf89NSkDXvG0FuH2MYRhdzFzWTkA2fc4Gq9HkQGXshH8KfiHhFHlvz SZ0DQ8EfOYf6E5ByW/65XFV9wJ1lPzve/4B+DrxaT/DThoVIqyM8unHoOr7g hF/UBOmyyKxEoVjkf4CkunZZHSzm6w9pMGOQuKrUufnXqiBzknb9l/07JNIu qPniH0BYhJcF66YopLYtPo9fSQk2zo2Yn4gNR9JlG2ILOuTAWefiFfcToeig HMtobu8haP9QbJrVGoK4NtxKvh8qAxp/D5hMuLxGdyT2dNAPSkLm+chLe/le opc6TjujX4iDogk1s9TwBWpftkrdbrwNqLwj6crP/FHV596aNEE6MAuKUrIL HyLFgNqEd2mccO+PnP75qXvojWOVXozKmrIUMLVUTF1RRRT/+R7aiDJD5fCT S8GWiC1Y8JTpoSrlVq2NE+XH5dD11j2NuqNOyisymVV72M3B5TImk8GCKye6 vPKcs/kPVmlpK+utvcr1Ndq08zUeYGH1UJB0ekH5Xwhr428hH9h+NdGDR30j bFbrEuGpfgygcvQOCxcF9s7k2So9eAZhX6ozK1UFYIeezu+jQkHgoz+1ib1q B0h9/LZe5fIKnG68jbKo3wVH/knutqoKhi+iM1tDrkkBnH+r9U/iLai0P7tv qCMLWqnszm+8w6B5a8EMf+5hMGRzDZH5HQEbaYurxq7ycOVS77eSw9Egf6Zp 2dJbCRR9u3zuurwHsyfTf+6pqgKe8SbkVEwsSLPFNPF8VwP1dt1EelUcHOeu vkkxPwV6h/KrUiQSQHKX5WUqvy40mbp0u537CDrrwVMpm/Xg0hOp2ZPeiVCw 8gpvZOiDZXeoYEdbMih3+/Kwip6HER69fYkcqbBZnksudeYCOMtvUnY9nAaf 5st09rQYgUfArWukFxkgzGJr3dFoApoiey+KiGbCPMMwZ3+NBfBk+5r75mTC W/uT5QZ/r0H16W7bEZ0sCK0OtUs7bAnnbr31zLmTDWHlzk+Sc63BrJI99kxD DljuWq82EnMEUYurKdm2X6A0UCXke4AT9C3mZwux5MJyVGdc4wZnsNnp+mtQ +it8MQgc+v3gP3Dx6B3zepxH7Ps8azvTXEGOorzQL5wP+UEGubnet2ApPmxd KysfSguuo9yLt8GrTo8m0F0AzOJ9N2r43EEtuCuiRRiHiqLj0Xs/3oWzo7qF N24XweeQa6ph2Q+g/9rsZHB+EXAwSHbWMj7g0REq8o21GBxsGvVtknwgoarv 7sbAYmik8mlPxz6EtYw7cmEff8CS6/mExLhHkOgan1LUWgKvh1rRUssTYP23 FrJFqQJO/ErPtHd7CZc5L3z+s14HyksKoj7uEdAqYPd1YHc9/OxTWPKojwDD PV4F49r1EMyuKR0oHQlnNBJ+/n1bD1Z/hzvXuyMB811o2i7bADNaMfu/a0WD BMvbBVPzRpDyKJAuDYyBmcUW+U68GSr/nvIdM4uDG5vGlAYHm+HN1VeS2s/i YIyfBZsgtUDpiL77yy9xMHBUUvOfUQso7Vh6UMv3AVpd3I1EplvgpFv70aXv H6BgUvCOmVgbbD4Y0jzJnwD+Q8bfOh+0w/7wWuG0+EToqrJtuBLfDttdFXMU yxNBLvvOWHdpOzgU/RMNnkiEPu8wkT6+Dvj3IXs0QS4JlIXafIaiOgAD4cXD P5JgXsdIe+rrH7DSmXaUakwGncM21//78wfu/711gHc+GWK3ut+bYekERdKT 1bQtKaA3+DZj7lQnRIYG6UtcSIHU+y305aZOGJMQsPjdkAIWmRc6Nsx0gYiP 80pwYSqY6GR5FHJ3w5Ldvu7ZP6ngD0qbfIS7IfgstxfbSip07tYWZcO6wbDG J+rgwTR4PmNnwO7XDVpXVuMyI9Igd2Cm82doN8TKqnl7f06DvlYP+8fJ3RDu LPp2qToNFNFT303V3XBJzkm5nyUdmM+Sc7i29MB33jrqa/N02Hz/0MlyiR6Y 6VgyjXRLB7j5reapQg8Mrij5ng5IhzdG5Uwekx54fu6u/PNv6XBy94gQOa4H cCmJE1HkDHASvPmxOrsH5m6rXM4Qz4BwnpXDgSU9oHpFkHJFLgOmprl0KSM9 IGM/tivYJAOiv++9TzvYC6HvtSzhQwao+9V+uKPaC+GNe9waszNg7Kxbefe5 XriUPc/H/jMDFHt+bMm43QsKLN1LR/szoCfJXonfvxd0bE+1H5nNAP+btKv3 wnrBOz/8yCALA1rYzFO183vhxbyDUQ+ZAV6VHPWZVb1gHrGNJWgLAyRC0ha3 dvVC8b0jr7mEGeAqsarK3NAHM/QIuokkAyin37T5nuoDbrZchqsyA75QT6yP Eu8UWkP+gPNJBpj97tt1zq4PBN1eKB3VZECq/UFnsRd94HAAY27WZ8C5I60h /tF9UBu+HnDgPANW1rzyJjP6wNxffYFizIDTAZUc3+v7ILjcKVHCnAFTF1yk d/f3gYfDH7VL1xgQukPI4Pl8H7DsG1Y7Z8UAYOJusxzEO4qrU59qy4BBhnXU JcF+6C0/sSXYngEv7pCLC/f2Q8wkUmh3ZMAR1c9MSaV+KP2ibzV4gwHt3Cbk IJ1+mBPj1/z8HwN8GliPLJr2w/NRS/9TLgzYG5lkbHajH74F1dRFujKg9rre /Z/e/WCmI1CTfYsBbvsXP0gT7zxFQfl9gbcZILIQVf46rh9yU81e7nNjwM/v alMr2f0g9GA29QnBDn6jWyxK+sGkImhvEsGb9V4plbX0g6b3pqz/2/MEj12V He4Hi3Nm81IEW/R0PX670g9rOXWRzwn/3MmPU//xDIB0R8P5dOL7n27ur7fc PgAlmaSqQCI+I6XGxUqZAXAYNs6QJeJfZ7u7/Qg2AF7j1UlBRH4JlWInI/QH QHQ02zaDyF83pNSG9doAqFU9jXxO6DNneiPA1nUAQk+wT+0h9IuQ4M+ufTQA wR/ItAc2DFCdzG+TfzsATnt/Md5aMmD4y7X16MQBkMr09bC3YECQN/dujm8D 8LSvfvuaGQPkT3/ScqwYACExl9OnLzOgk2rk3NgxABIvTFINLjJAOi4+L3Z9 APDDc42hZxjQYK/Tw0UdhHKHqOXG0wzwODLL8Z/4ICjWPaJXqjGg9CdmAOqD kKBtPDR8jAE3AobcEi4MgtqF8Q2UIwzgvxgQxWszCN63aA2T+xlgyWxntj8d BC/eTybtokT+l/p+FEQNQkmha5n2VqJeKkdi3jEGgUaNXbOmMsDq07LRteZB yLn0SiKW6JeEnRuOqg8Pwocpt1SvyQwYDOGk7lkbBOaEgifvnwyw8hAoGxEb AqY9+8XdORmQMCYSX3lkCEpnHrWmvifGm0k8SD81BCRdsy+PnhPjTx49dtNx CGTlrL0lzQkmnUtazh0CBha/aft6OiR4XXrUXjEEwf8i5YUG0mFw6urVgs4h MFTM+GZRng5WTc5bH2xkgv8YDa9/lQ7W0QFPOPWY4FyzShXalg6JlDeWIxZM 0NNoEzVdTQOmT5RK5S0m5M7URQ38TgMb69TlwAgmtGbFrRS/JVi23FZgiAnM UA1SLGcaJMbWqS8vM0Ey28ZwrTcVmJvbxNpJw1Ba1q/1Jj8VbJaH2qIPDYNR pqDTY0eCi9i1JLyGIdFGo+NkSQokHuGV4Hw5DEueaz1+4SnATNjMOhI3DDGm T1bZnVLA5tnOb2llw8A0mvuYRksBW0MVqaNbRqDbEL68NUiG5BJNDgHJEdAU LZMME02GEQW93iXFEVB4269QM54EdtuvhOebjwDl2vFHzY8IHvTkVksdgdDv S2KQmgh27rkjBidHwV2/YKq/LgEEmk/oTxuOwlLLcdqOtwnw43Dxl0CrUTDf 3sj97nICiExW+VY+GQXOtQJnp954aLDsE9GoHQXGhSvZx4c+wPFz5HPHTMfA ebdF9u6qWBhmvP7a4jQGMVaFmPfjWHhD3ip623sMjGoOhwhCLPE+3DmeGTcG 5sobYlnS30M8dsxPemQMZPXzP8f4xABZ5nreDrdxwDv1BO15IyHv2bDYd/9x EE2h/7C0jgCbYSd/k3CCBSuLK1E4FH24cz6sYBzMVWbIHfZh4LYtcJK2cQKc D2gdGWS8gW7Obzs5Xk4A/mv4fed4EGT28T0fS54EljILWMh2hqWR+UT27wT/ ftstxm4HyjPtP0XqCLYcee8VZAEVLInreosEJ74Lsc1XghlyzNffYlPAsrDp x+Ade8QtrbAfnAg+pWHjJ+iHFK1sNnNumgZsRcm7+GwU+mPbHhtMmQbvly/q Eu9FI2/HMwfFhKYBD5ggFvgdKnE9ckZx/zR0i7NGrnK9RwYPWfwdzk3DlI0k z7JnHLKLCV2tfUfMP3LrKOlNIor4XdobpjADpXHJZ3MrPqE1zYqCZZUZ8B4z D8iWyEQmX6pCjbVnwPyydJSCTyYSCa4/s9VsBvCowPZWxSwUq9vxLfQhMb7q 2TuvzGyUjE++eltN+Cscvu2b9wXlJvCfDLk+C7IfQ0SCj35HW7dsFZl3nCXu CZ7Pf7//jjwebls2dJsFzeCOH2lkhI6bi2ZsfjoLWK6Z2OowQmir1LbgjFn4 MbwxMbwBRyXPT8y+WpkF55g4S/HoItR483pcUNAccOrqVTXZEO/65vjiM2Fz oCmUVB0bV4LYlIb6SLFzMLUe8zm9swQdYrPb9SRrDty1v5o9PP8LBb2+Ef+g eQ78qyJBTKMUaWd7fLwpPA8KvO0z8ofLUdF8UIph4jwIVjXKUU9Uowz3gixB fAGCov9xv/BvQK8OHjgQXLYAlU8evhP+1IBuj8Qk8zUsQDZZ5GR9WwNSNvF9 zzG4AA66pMKMfY2oGrQD53gWwdNotulwXSOa4Gizq724CJXpY/wWO5uRdMic mP/kIuhdLk02729FiZ/2BS2KLINzsvLb+dZOpGreoVe3Zxls8j4vfdnUhf6Q X1BTZAn7R8dHEXJdiOYw8cpMdRlwuRnBkuAu5CnxKeSn5TLITWe5Ge7tRmcj 5CJepy4Dpl73SX+kGy34qiQcUFyBuYmIq6nuveik0cV86/Or4ClV4eVdMoD+ HgzNlsn7C0aOshYl5ePo7R9jm35u4k78JDSwzWwWsRhriKzs3IDpMYt9WlYW 0ZLjCcU8Q1as2/EgxdDiLyo8Rv+n9h8bJlKe0j5hugFXN20+p+C/Eett5Jp7 yb8RNxb6wNeSw459qBJc2y64CVcO0HNRruPAnmuw9qX1ceGZEZtO6LNxYixk V82iRhLew5IaWnWAC5N2+ZGi+YwP7xE+EEnT5MYky/ioX0YoeO65JtN6HW4s /6SHh8kkBQ94enfHK31u7IPp955/sxRccelXLPUyN6bGdIlQ/EvBXzWYJ1Gc uLG5/uwLL/iouNrTVznkYG7M/UZSYeRhKp64OF/L3c2NHf8Y1XD6DhX3kol8 Vd7Pje3S/2/U7x4VN7RUNXw6TMwP73hW9ICKb2gIaOGa5cb0Jh5c3P+Uil9K 39PJycGDtU6tMlrDqTjJ0niUQ5oHY/ZYiT7Mo+LO9fnsbO482NxbXT3SChUX 92Ud+c+TB3NeG+p7/ZeKNxzVrO725sEo/CKcghtouFxYw5vvT4j5T7Pnt3DS 8LUrI3s8Ingw6a9fScwtNNx/XEBr+jsPxshIMO+VpeExnC4BXewkzDA9aNfW 6zTc4FvuzTPcJGzMJz9U2pqGszn8u1BAJmHulx/KHbej4VY1T3ZECJAwm8s/ e84603DpNzGMC3tJGP5VJELTk4bn7qyur9IhYZvfn83xfE3Da5X3CuS/JmHC PLaard9peHd8zvvNoSRM06A11LSQhk+T1KQdIwn7jsr6zmIaTms3UxGJJ2Es s3cWGktpuKFbsL13DglbM9CJC6yn4S0Z60itjYQd379WpDRAw5n8L7Si/pCw oOeRUl5DNHzpnlDTfA8JIwmf1MwfpuGCOkdHEkZImMJsfOi+CRp+iWm3mWuN hP0oTTrUvEDDO0WbbapEeLHS9d3ORpvo+ITftdndO3mx7oVKhiEXHV+fmLrn tYcX0yne7aLDQ8dFC3heH5Dlxbx9vt2Q4aPjFsYqBS9VeDGHiz2jefx0fOBl KvXCdV6MwjLGubKLji8sHYtMt+HFUr+SW1Il6DiH+S+JTY68mDMzd/qSJB2X kOlVyr3Fi8WUK60n7qPjNuUCVkJ+vJhg07ww6RAdH2N9+K0ziWDTM86jJ+j4 teDEmZB0Xsx1y1PGDaDjv3dXS+lm8WIdso17JjA6/ktza0RePmHv3p/cdpKO xwZk3A2t4cUibSYe2p2m44KiTVlnG3kx4chIVlyLjgd+WhnlaCPiybgRwqdD xz0b1U1u9fJiienLA5Fn6PhFoY7jBvO8mOTnoC83ztHx6pQNt7hWCL2Sr5qE GNJxtRN70vB/hB41O2eyz9PxQ+Y3tx/gJGNqpRWdPRfpOCmB8x/PNjKWey8c m7lMxx/Ky8gV7yBjkXzjU4MmdHyl9JyTxy4ydnwm06nJlI4PjUZ3MveTMTy7 GH93hY4XHTyKfmKE/c2AyrAFHVcovrToqU7GEg/+6k65RsczDL0PHNEixlMN 99pcp+ORbhXvYs+RMc/gW/FVlnSczjXdYmxEfE+bu/a2FR1/Gs5PoZqSMR1n rVdbrem4W8FV7/tWZMzbHq/QtiHW/4xfrpw94Y8yfqyd4OvdqVPjN8iYcGHm /uu2dNyAbcnc5A4ZyxYdeW1hR8dLg7eH0b3IGIvx6b8tBIPEybpyHzLmmi78 W8OejkufDlA59pyMibJNtFMc6Hjc76w7U0GEHuq1i/YECzm0ffoYQsYkpSdd cYKD/v4bNgsnY3ozX8+QHen4psBd4vzvyJhzSrT3eYK9RLUuVcWRsTkVbo43 BM99uvHKN5GM+bvZ/K4h2P5kSLlSGhmzGdi5zOpEx3sbv7HOfiLiXY03PUCw kVW3YnIOGZNlvch2nuCaRXaXq3lkLEYgesCFYI0n+1IEcUKfQz3rzwjOF9Lv q/lB6L3jkW4UwYdTb2/zKyP09R0v+0hw8onIc8rVZKyxw9M5hWDRmsJn8/Vk bO1u8PFEgt+aDxWnthD6Pw/eG00w0yFVhN5Bxn5wLDwPIFjxzn937nSTMZKC 4rg7wc8fyTV29ZOxpe5IDVOCO1+uymgMkzHzHqMQJYJlo/EnqeNkTFAhsYlO sE/yo37aDFEfbD/YBon8G3O04M4CsR7e/dsyCZYo5gvvWiH05lYRcifYvaZx Tn2djE2JUFblCS5vDzubysaHHb/o922a0F+YaZZM4+TDfB3bDeMJdprbyX6H xIcxFLESA4JxluErXRQ+rDuHyb1CrC+NN/2b+hY+TGeZY0cEwTm7FZxpInwY XmaTUE7UA+ehv+Xu4nwYSZxEMyb4knLR7i4JPky2qf9ED1FP/y7otKcc4MM4 5cdKOol607tGlaMdIeJJchE2JDj2RnOQuwIfduRvj3gxUa8a/uYa6ip8GIvk tsMBRD2HBu9+n6LOhz3Pkz86QtT7SMzIKlWL8J/c2QoEB3x1/dRpQMRrYznf QvRL04i/sPt1wv+YsUCeOaHPoq5bpw3hf73+ax/Rb+5s9Ho1Rz5MQX62k51g YeEoP+ptIr+KhPdyRH9e1/00k+zHh5Wqb408bUzka3xbl/qcD7OxpQydMCLy tVJKdAsi8ld/HbKP6P9Ur5+mamF8GLMwineW2C/mMtpK/yTzYe6VsHZQj8gn P3qnWgYfJtm1eWGK2G9CS695JWfxYbmbxI8k6dLx4z3jh93y+bBaQSlHdm06 7ktjfUepJtbDO+G6gzrR37ekbp2cJr5fITg3pUDHK1P87nEu8GHYiHLjdnli fG//o6oVPszfuvW+6lFiv/l4tmIfKwUzD6fvdjlIx+22cHd85qFgsmjv1v/2 0nHtKa+/ZSIUTJSz7kC7AB1PfJb2QFqMgvm/pF7z2ULHN+7pYA/cScFsFKb5 xOhEf5geIxtKUrAg44lCNTLR7xWzIp0HKZjCZVjYtfH/+58NNqNGwYxWjwuo EeePjcrbH4anKFjusKKb+SgN/9HxU/PLacLf/qq/Lkwa7knfqe95hoItvSi0 9e6l4ePef65yGBHzv+6Vkmmm4dWXDR4K2RP+59YyW/NoeCD1eInqS4LFpZrU vGm4kd23ds/XFAxzFnroTZzH4sUK0zkhFMydnzaY5U7Dc1yPCu8LJ/znB37d 8B8N72iRuUmPo2Cl7O3bjl2l4VLRYiL92RRM8/6VWRpGw0ukNt1+1ErBGHa7 R88tUvGgh4+eod9EvAYdyfdmiPtLB9v75Q5CL3rEy+hxKj7+gqXSsYeIx+pQ 0c8+Kr55elnswggRT8SHg0k1VNziy1iVxBoF4+y6eR6Pp+L/TtbvLt1BxSQN 9nbxaVNxNzdX8qIYFTOvu1t1WJ2KTyXzL+7eRcWCNOvTzwAV76NeLn0oScVY OvYcsyXuX6VdfXZwkIrhvIEzstuo+Mu78xk5qoQ9SVdi0zAF35UlqBhvScU4 L9Y1Ztyj4FGD38QbranY0unbH5NuU3B+IVMeNjsqFmps2R12g4JzPXjfYe5E xdy99F1Mr1KI80DqvrAbEd/s/RhnNQr+ZUTpx2t/wv7gkkwxJwXXEr9yxieF ijm7DCrM0vnwBbuqF91pBGeksHCy8uGxWUpVygwqRrm78c/GKTK+qiaos5pN 8PaeDzkVZDzVuu6063cqNrXaKLX8gIzzpZ1Ut6qjYrWSpo2Tw7x4o7zkca1F wq5fekr/Iwn39n5zN3GZism2dAzpvyLh0mUb8zjWqBjG8N957B4Jf3Sp51gx Cw3Dy5kn8gxIuNy9cPnj3DSs9rEA4/kaDx5WRDoss52GsdS3ki5p8+BmutN7 aSdpWJDRVRWtJi7c/VzGyil1YvzLNOGE71z4K2PHinunCDu18cnIRy68xHLY YVib8P9ydFragwuX8erJwA1pmDO/T++b7Vz43/S6ozesaBil2fjJwhVOPJKS qVL5hIZ1fxRnRNdz4L8bbho/riX4kvibS45s+J7JNe/RehoWcyVIQ+wMG+7K 7Zeo10TEdybgdpkMG05WiVgU+k187+gF0e+TrLhqenFIRh8NExU2kJR3ZsVT /DfXty4Q/nRxexP7DbjniRytfdvpmHf7znDp4H9I5OOyUq0tHcObjj39qDOP hKI+ykk5EKzVbRi0PocEXp8/6OtEx1his6vlM+cQ5f4nCQUXYr6wuHUR/xxi vWhLjfGkY5h1mk5xxwwa5GgbvBFI2EUsmCYmUyjdKvcl32di/v0S3MFgEIGE 29AZls3E+eNm+zLJBpLbXF28WQme+hKWQQ6DzS9urn/aSLDmg7Ojzz4Cc9ZR YAsXwdLiw7rNORBUeP1UO5Xg5s27hF+XQK+JwUfrnQRbkMk875vB9/V+a28N glOiT2tzDkEZS//gp+ebMfzOMp/jhiXYJnkhbGTXFuK+0XSGasODNSV/ebcp aws2tSdr5rcoP1acMfW4js6P2fJ+fL+aL4z9D6eQrOI= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}, {}}, {"WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwVl3c81f8Xx0VkXNcdhSShkiRpIcr5EJJRSEUhKXvkG0WSJEULFWUnItsN SaH3ByV7z8ge195b+X1+/9z7eD7O+30+57ze57yHmMUNA0tWFhYWNeLn//9i f3Sz1tcnEemNZ+6hw7PAMXzPxHZiEslGHlsTFpiFkbk09oaOSWS9iaqwc3UG Mklko4Svk+hIvrXRw+IZUD1evabjMon6owa8gs7PgEXEGY3wwQl0VVfKv9Zr GmKNz7YdqRpH4kasrTPlk/DY8r5PdN44cuk3w/zDJsHuv4x9nMnjaOOP5hR9 m0k49ITPq/3xOFKo1KJ4c0xCUW6NuA82jhJDpNNPqU9Ar4CeQ03WGKro3qpj XTkGO5v11m3DR9HV38EzVJYRcFIQnTHyG0UTxdrXdeuG4Vv4ZP8p11FEO7rm Vhg7DHpXAsp3nxlFidUcYwYaw+DJrAjp2TCKoupIrfxBTGhc0ZA2th1B7ncn bDfIDMHjHSeMNRWG0WRMaaHRq36oe0DSkd89jHyCJcbN7PpBuL9dWYI2jASz frOGqfZDZqLHro1jTGTwos0ocbYPOg/mTqJ3TLTR3yT2gFEfyKsdfiy/iYmy l4Ku41K9wLTZmyXRPIg8mRebGoe7oKTLY5vxj0HkW9ZM/5HcBR8uVD58ljmI 5rO+DLI7dIG52g3DqYBBdEWv/or3ZCe07vg8//XUIGq1YlfWWvkDpc2Ygu7X AWTD4lPzT6QDktSMClwi+1H9PhPXi3Gt4J+XtDvhaT/y3hK3Za9TK1gdWn3R 6t6PFh5NCGocawVx0WizE+f7ka6i2LWrtS0Qvtq3zkHuR9LfqK38rC3wNPOG avj9PpRsosGu49IEdqJ+v3CLXuQ688vD6Fk9VBZ+faOj34uqpVaXOczrQeba mGUr9KJBhwvHF4/Uw2y8/sYp4V7EpUA9HtlVB577hFV2tPQgpwtWj2bk6yBQ 7tO3e9o96HGq4meN4RrI1mlPUzzSjW61V1tcO1YB/BO890rEu1FyZKS0/Uw5 3AnEdAyo3SheVL9sOKUc7n7Qbmro6EKioyJjp0XLISCj+8wh/S40cZM+85Rc Blk/uVUnj3Wi27QSma8sv+DftJmkLU8HavgwdGfLsWJ42cN66dlAOzrwsUfT frUIdtUlPEtD7UjvuKST8vciOM2YmJh2aUcL/xnVXFIvgmAnr88eHb/RjXvp XmbGhSA1GqX6PK0NsYRxYLqyCAp+q7im+7WhBNmqPtkf30GvfCC+9mobuml5 dG7d6DvcStrPtYW/DT1akw8xeVQAuHVBTZRXK7ILifCeZ+bBhf4Ok4yzLajE 5K1C4+9cGG7wDqjb24Jyo20E/nnmgmfxLnyWrQVt+yzjtFE0F97HOuxUyG1G cpZfa2NtvsCY+dowLtqM/l0Qe0PamAM+f7a51U83Io0hkmeJRRakN196Of+6 Hnl6XR8avZkGVpOs6dHO9UjoxnxYx2wq7OBMKT+lW49upWztFbqdCkHHVtnC OeqRx0q+g4dXCrhERtxWvlOHHhTUC0RFJ4GCRcdlP7Na1GMr8+7AtgSY8vB1 l1WqRYKs+ka6jHhIei0d0iZQi0wmdAvfa8TD0afLkRdja9D7fI5l5u0PsHJW 0SfGrxpJ7y10KRuIBd/2PJ1DBpXoiZf0lQOL72CeRHrsy1OJfj1fbZ3QeAdW yiao+UcFeuL3qGIiNBpOv187eFe+AlWoarLEn4wCsvUJgR/C5WhIeF40Kisc 7oe+0ONvLkMPX5XW07aEw1TZnyc2gWVIXcqvK9M9DBqkvdZIrGVooqSex1oj FEJnvvecH/qFcmWWJw1WQ4BrF9+2xJhfaMegUla1Ywh4nL9iuGL8C6mx5o6Z 9QaDae56SXRlCRq7tdT9qe41iHthqUOffqK/063NTaUvIYWr6PYdz2LUUXTj 7M39zyE3OLC5+0Ax4h3oGVXHnkHJDlM5zb4i9Njkj9Obi0+h++jSPL9WEdrn /4vz9Wt/4LeQuZUtUIhe9iUrnMAewa7x1cZtFTg62Oj4QfG2Lxx0Lzvy0AtH dt/sF70YDyFUuIwZV46Q938KPoUHfWDjraNDnZYFqMgu+e9ApRfseFabkFaZ j1zEh6pa794Dxff2Vp6H89G9Y6JJE4c8wbnq/cDWDXmI/bCx55mvd6B9N7nf MDIXaXaaP3fYfQsWlJLidrLlomyVh/7sm12BYqB2bcb2CxJM1d5kxO0CGl4e vYHyOai746DEPO9/kNk82F1en4UW216ZqnXZQdXYg5iwY1lI7ffhkkNHbYHJ ut3cJiYTxUd/CysOswaRA+e62J0+IdWj1yavB1yHY+oT0Y2NDHQuUbBQReQa GF5+YhanxEC7xNojjfOvAo3vft4DWjrK/rdxLUHdDDSVPivu6E5FIx/8Tm5s vgxe1qNf89NSkDXvG0FuH2MYRhdzFzWTkA2fc4Gq9HkQGXshH8KfiHhFHlvz SZ0DQ8EfOYf6E5ByW/65XFV9wJ1lPzve/4B+DrxaT/DThoVIqyM8unHoOr7g hF/UBOmyyKxEoVjkf4CkunZZHSzm6w9pMGOQuKrUufnXqiBzknb9l/07JNIu qPniH0BYhJcF66YopLYtPo9fSQk2zo2Yn4gNR9JlG2ILOuTAWefiFfcToeig HMtobu8haP9QbJrVGoK4NtxKvh8qAxp/D5hMuLxGdyT2dNAPSkLm+chLe/le opc6TjujX4iDogk1s9TwBWpftkrdbrwNqLwj6crP/FHV596aNEE6MAuKUrIL HyLFgNqEd2mccO+PnP75qXvojWOVXozKmrIUMLVUTF1RRRT/+R7aiDJD5fCT S8GWiC1Y8JTpoSrlVq2NE+XH5dD11j2NuqNOyisymVV72M3B5TImk8GCKye6 vPKcs/kPVmlpK+utvcr1Ndq08zUeYGH1UJB0ekH5Xwhr428hH9h+NdGDR30j bFbrEuGpfgygcvQOCxcF9s7k2So9eAZhX6ozK1UFYIeezu+jQkHgoz+1ib1q B0h9/LZe5fIKnG68jbKo3wVH/knutqoKhi+iM1tDrkkBnH+r9U/iLai0P7tv qCMLWqnszm+8w6B5a8EMf+5hMGRzDZH5HQEbaYurxq7ycOVS77eSw9Egf6Zp 2dJbCRR9u3zuurwHsyfTf+6pqgKe8SbkVEwsSLPFNPF8VwP1dt1EelUcHOeu vkkxPwV6h/KrUiQSQHKX5WUqvy40mbp0u537CDrrwVMpm/Xg0hOp2ZPeiVCw 8gpvZOiDZXeoYEdbMih3+/Kwip6HER69fYkcqbBZnksudeYCOMtvUnY9nAaf 5st09rQYgUfArWukFxkgzGJr3dFoApoiey+KiGbCPMMwZ3+NBfBk+5r75mTC W/uT5QZ/r0H16W7bEZ0sCK0OtUs7bAnnbr31zLmTDWHlzk+Sc63BrJI99kxD DljuWq82EnMEUYurKdm2X6A0UCXke4AT9C3mZwux5MJyVGdc4wZnsNnp+mtQ +it8MQgc+v3gP3Dx6B3zepxH7Ps8azvTXEGOorzQL5wP+UEGubnet2ApPmxd KysfSguuo9yLt8GrTo8m0F0AzOJ9N2r43EEtuCuiRRiHiqLj0Xs/3oWzo7qF N24XweeQa6ph2Q+g/9rsZHB+EXAwSHbWMj7g0REq8o21GBxsGvVtknwgoarv 7sbAYmik8mlPxz6EtYw7cmEff8CS6/mExLhHkOgan1LUWgKvh1rRUssTYP23 FrJFqQJO/ErPtHd7CZc5L3z+s14HyksKoj7uEdAqYPd1YHc9/OxTWPKojwDD PV4F49r1EMyuKR0oHQlnNBJ+/n1bD1Z/hzvXuyMB811o2i7bADNaMfu/a0WD BMvbBVPzRpDyKJAuDYyBmcUW+U68GSr/nvIdM4uDG5vGlAYHm+HN1VeS2s/i YIyfBZsgtUDpiL77yy9xMHBUUvOfUQso7Vh6UMv3AVpd3I1EplvgpFv70aXv H6BgUvCOmVgbbD4Y0jzJnwD+Q8bfOh+0w/7wWuG0+EToqrJtuBLfDttdFXMU yxNBLvvOWHdpOzgU/RMNnkiEPu8wkT6+Dvj3IXs0QS4JlIXafIaiOgAD4cXD P5JgXsdIe+rrH7DSmXaUakwGncM21//78wfu/711gHc+GWK3ut+bYekERdKT 1bQtKaA3+DZj7lQnRIYG6UtcSIHU+y305aZOGJMQsPjdkAIWmRc6Nsx0gYiP 80pwYSqY6GR5FHJ3w5Ldvu7ZP6ngD0qbfIS7IfgstxfbSip07tYWZcO6wbDG J+rgwTR4PmNnwO7XDVpXVuMyI9Igd2Cm82doN8TKqnl7f06DvlYP+8fJ3RDu LPp2qToNFNFT303V3XBJzkm5nyUdmM+Sc7i29MB33jrqa/N02Hz/0MlyiR6Y 6VgyjXRLB7j5reapQg8Mrij5ng5IhzdG5Uwekx54fu6u/PNv6XBy94gQOa4H cCmJE1HkDHASvPmxOrsH5m6rXM4Qz4BwnpXDgSU9oHpFkHJFLgOmprl0KSM9 IGM/tivYJAOiv++9TzvYC6HvtSzhQwao+9V+uKPaC+GNe9waszNg7Kxbefe5 XriUPc/H/jMDFHt+bMm43QsKLN1LR/szoCfJXonfvxd0bE+1H5nNAP+btKv3 wnrBOz/8yCALA1rYzFO183vhxbyDUQ+ZAV6VHPWZVb1gHrGNJWgLAyRC0ha3 dvVC8b0jr7mEGeAqsarK3NAHM/QIuokkAyin37T5nuoDbrZchqsyA75QT6yP Eu8UWkP+gPNJBpj97tt1zq4PBN1eKB3VZECq/UFnsRd94HAAY27WZ8C5I60h /tF9UBu+HnDgPANW1rzyJjP6wNxffYFizIDTAZUc3+v7ILjcKVHCnAFTF1yk d/f3gYfDH7VL1xgQukPI4Pl8H7DsG1Y7Z8UAYOJusxzEO4qrU59qy4BBhnXU JcF+6C0/sSXYngEv7pCLC/f2Q8wkUmh3ZMAR1c9MSaV+KP2ibzV4gwHt3Cbk IJ1+mBPj1/z8HwN8GliPLJr2w/NRS/9TLgzYG5lkbHajH74F1dRFujKg9rre /Z/e/WCmI1CTfYsBbvsXP0gT7zxFQfl9gbcZILIQVf46rh9yU81e7nNjwM/v alMr2f0g9GA29QnBDn6jWyxK+sGkImhvEsGb9V4plbX0g6b3pqz/2/MEj12V He4Hi3Nm81IEW/R0PX670g9rOXWRzwn/3MmPU//xDIB0R8P5dOL7n27ur7fc PgAlmaSqQCI+I6XGxUqZAXAYNs6QJeJfZ7u7/Qg2AF7j1UlBRH4JlWInI/QH QHQ02zaDyF83pNSG9doAqFU9jXxO6DNneiPA1nUAQk+wT+0h9IuQ4M+ufTQA wR/ItAc2DFCdzG+TfzsATnt/Md5aMmD4y7X16MQBkMr09bC3YECQN/dujm8D 8LSvfvuaGQPkT3/ScqwYACExl9OnLzOgk2rk3NgxABIvTFINLjJAOi4+L3Z9 APDDc42hZxjQYK/Tw0UdhHKHqOXG0wzwODLL8Z/4ICjWPaJXqjGg9CdmAOqD kKBtPDR8jAE3AobcEi4MgtqF8Q2UIwzgvxgQxWszCN63aA2T+xlgyWxntj8d BC/eTybtokT+l/p+FEQNQkmha5n2VqJeKkdi3jEGgUaNXbOmMsDq07LRteZB yLn0SiKW6JeEnRuOqg8Pwocpt1SvyQwYDOGk7lkbBOaEgifvnwyw8hAoGxEb AqY9+8XdORmQMCYSX3lkCEpnHrWmvifGm0k8SD81BCRdsy+PnhPjTx49dtNx CGTlrL0lzQkmnUtazh0CBha/aft6OiR4XXrUXjEEwf8i5YUG0mFw6urVgs4h MFTM+GZRng5WTc5bH2xkgv8YDa9/lQ7W0QFPOPWY4FyzShXalg6JlDeWIxZM 0NNoEzVdTQOmT5RK5S0m5M7URQ38TgMb69TlwAgmtGbFrRS/JVi23FZgiAnM UA1SLGcaJMbWqS8vM0Ey28ZwrTcVmJvbxNpJw1Ba1q/1Jj8VbJaH2qIPDYNR pqDTY0eCi9i1JLyGIdFGo+NkSQokHuGV4Hw5DEueaz1+4SnATNjMOhI3DDGm T1bZnVLA5tnOb2llw8A0mvuYRksBW0MVqaNbRqDbEL68NUiG5BJNDgHJEdAU LZMME02GEQW93iXFEVB4269QM54EdtuvhOebjwDl2vFHzY8IHvTkVksdgdDv S2KQmgh27rkjBidHwV2/YKq/LgEEmk/oTxuOwlLLcdqOtwnw43Dxl0CrUTDf 3sj97nICiExW+VY+GQXOtQJnp954aLDsE9GoHQXGhSvZx4c+wPFz5HPHTMfA ebdF9u6qWBhmvP7a4jQGMVaFmPfjWHhD3ip623sMjGoOhwhCLPE+3DmeGTcG 5sobYlnS30M8dsxPemQMZPXzP8f4xABZ5nreDrdxwDv1BO15IyHv2bDYd/9x EE2h/7C0jgCbYSd/k3CCBSuLK1E4FH24cz6sYBzMVWbIHfZh4LYtcJK2cQKc D2gdGWS8gW7Obzs5Xk4A/mv4fed4EGT28T0fS54EljILWMh2hqWR+UT27wT/ ftstxm4HyjPtP0XqCLYcee8VZAEVLInreosEJ74Lsc1XghlyzNffYlPAsrDp x+Ade8QtrbAfnAg+pWHjJ+iHFK1sNnNumgZsRcm7+GwU+mPbHhtMmQbvly/q Eu9FI2/HMwfFhKYBD5ggFvgdKnE9ckZx/zR0i7NGrnK9RwYPWfwdzk3DlI0k z7JnHLKLCV2tfUfMP3LrKOlNIor4XdobpjADpXHJZ3MrPqE1zYqCZZUZ8B4z D8iWyEQmX6pCjbVnwPyydJSCTyYSCa4/s9VsBvCowPZWxSwUq9vxLfQhMb7q 2TuvzGyUjE++eltN+Cscvu2b9wXlJvCfDLk+C7IfQ0SCj35HW7dsFZl3nCXu CZ7Pf7//jjwebls2dJsFzeCOH2lkhI6bi2ZsfjoLWK6Z2OowQmir1LbgjFn4 MbwxMbwBRyXPT8y+WpkF55g4S/HoItR483pcUNAccOrqVTXZEO/65vjiM2Fz oCmUVB0bV4LYlIb6SLFzMLUe8zm9swQdYrPb9SRrDty1v5o9PP8LBb2+Ef+g eQ78qyJBTKMUaWd7fLwpPA8KvO0z8ofLUdF8UIph4jwIVjXKUU9Uowz3gixB fAGCov9xv/BvQK8OHjgQXLYAlU8evhP+1IBuj8Qk8zUsQDZZ5GR9WwNSNvF9 zzG4AA66pMKMfY2oGrQD53gWwdNotulwXSOa4Gizq724CJXpY/wWO5uRdMic mP/kIuhdLk02729FiZ/2BS2KLINzsvLb+dZOpGreoVe3Zxls8j4vfdnUhf6Q X1BTZAn7R8dHEXJdiOYw8cpMdRlwuRnBkuAu5CnxKeSn5TLITWe5Ge7tRmcj 5CJepy4Dpl73SX+kGy34qiQcUFyBuYmIq6nuveik0cV86/Or4ClV4eVdMoD+ HgzNlsn7C0aOshYl5ePo7R9jm35u4k78JDSwzWwWsRhriKzs3IDpMYt9WlYW 0ZLjCcU8Q1as2/EgxdDiLyo8Rv+n9h8bJlKe0j5hugFXN20+p+C/Eett5Jp7 yb8RNxb6wNeSw459qBJc2y64CVcO0HNRruPAnmuw9qX1ceGZEZtO6LNxYixk V82iRhLew5IaWnWAC5N2+ZGi+YwP7xE+EEnT5MYky/ioX0YoeO65JtN6HW4s /6SHh8kkBQ94enfHK31u7IPp955/sxRccelXLPUyN6bGdIlQ/EvBXzWYJ1Gc uLG5/uwLL/iouNrTVznkYG7M/UZSYeRhKp64OF/L3c2NHf8Y1XD6DhX3kol8 Vd7Pje3S/2/U7x4VN7RUNXw6TMwP73hW9ICKb2gIaOGa5cb0Jh5c3P+Uil9K 39PJycGDtU6tMlrDqTjJ0niUQ5oHY/ZYiT7Mo+LO9fnsbO482NxbXT3SChUX 92Ud+c+TB3NeG+p7/ZeKNxzVrO725sEo/CKcghtouFxYw5vvT4j5T7Pnt3DS 8LUrI3s8Ingw6a9fScwtNNx/XEBr+jsPxshIMO+VpeExnC4BXewkzDA9aNfW 6zTc4FvuzTPcJGzMJz9U2pqGszn8u1BAJmHulx/KHbej4VY1T3ZECJAwm8s/ e84603DpNzGMC3tJGP5VJELTk4bn7qyur9IhYZvfn83xfE3Da5X3CuS/JmHC PLaard9peHd8zvvNoSRM06A11LSQhk+T1KQdIwn7jsr6zmIaTms3UxGJJ2Es s3cWGktpuKFbsL13DglbM9CJC6yn4S0Z60itjYQd379WpDRAw5n8L7Si/pCw oOeRUl5DNHzpnlDTfA8JIwmf1MwfpuGCOkdHEkZImMJsfOi+CRp+iWm3mWuN hP0oTTrUvEDDO0WbbapEeLHS9d3ORpvo+ITftdndO3mx7oVKhiEXHV+fmLrn tYcX0yne7aLDQ8dFC3heH5Dlxbx9vt2Q4aPjFsYqBS9VeDGHiz2jefx0fOBl KvXCdV6MwjLGubKLji8sHYtMt+HFUr+SW1Il6DiH+S+JTY68mDMzd/qSJB2X kOlVyr3Fi8WUK60n7qPjNuUCVkJ+vJhg07ww6RAdH2N9+K0ziWDTM86jJ+j4 teDEmZB0Xsx1y1PGDaDjv3dXS+lm8WIdso17JjA6/ktza0RePmHv3p/cdpKO xwZk3A2t4cUibSYe2p2m44KiTVlnG3kx4chIVlyLjgd+WhnlaCPiybgRwqdD xz0b1U1u9fJiienLA5Fn6PhFoY7jBvO8mOTnoC83ztHx6pQNt7hWCL2Sr5qE GNJxtRN70vB/hB41O2eyz9PxQ+Y3tx/gJGNqpRWdPRfpOCmB8x/PNjKWey8c m7lMxx/Ky8gV7yBjkXzjU4MmdHyl9JyTxy4ydnwm06nJlI4PjUZ3MveTMTy7 GH93hY4XHTyKfmKE/c2AyrAFHVcovrToqU7GEg/+6k65RsczDL0PHNEixlMN 99pcp+ORbhXvYs+RMc/gW/FVlnSczjXdYmxEfE+bu/a2FR1/Gs5PoZqSMR1n rVdbrem4W8FV7/tWZMzbHq/QtiHW/4xfrpw94Y8yfqyd4OvdqVPjN8iYcGHm /uu2dNyAbcnc5A4ZyxYdeW1hR8dLg7eH0b3IGIvx6b8tBIPEybpyHzLmmi78 W8OejkufDlA59pyMibJNtFMc6Hjc76w7U0GEHuq1i/YECzm0ffoYQsYkpSdd cYKD/v4bNgsnY3ozX8+QHen4psBd4vzvyJhzSrT3eYK9RLUuVcWRsTkVbo43 BM99uvHKN5GM+bvZ/K4h2P5kSLlSGhmzGdi5zOpEx3sbv7HOfiLiXY03PUCw kVW3YnIOGZNlvch2nuCaRXaXq3lkLEYgesCFYI0n+1IEcUKfQz3rzwjOF9Lv q/lB6L3jkW4UwYdTb2/zKyP09R0v+0hw8onIc8rVZKyxw9M5hWDRmsJn8/Vk bO1u8PFEgt+aDxWnthD6Pw/eG00w0yFVhN5Bxn5wLDwPIFjxzn937nSTMZKC 4rg7wc8fyTV29ZOxpe5IDVOCO1+uymgMkzHzHqMQJYJlo/EnqeNkTFAhsYlO sE/yo37aDFEfbD/YBon8G3O04M4CsR7e/dsyCZYo5gvvWiH05lYRcifYvaZx Tn2djE2JUFblCS5vDzubysaHHb/o922a0F+YaZZM4+TDfB3bDeMJdprbyX6H xIcxFLESA4JxluErXRQ+rDuHyb1CrC+NN/2b+hY+TGeZY0cEwTm7FZxpInwY XmaTUE7UA+ehv+Xu4nwYSZxEMyb4knLR7i4JPky2qf9ED1FP/y7otKcc4MM4 5cdKOol607tGlaMdIeJJchE2JDj2RnOQuwIfduRvj3gxUa8a/uYa6ip8GIvk tsMBRD2HBu9+n6LOhz3Pkz86QtT7SMzIKlWL8J/c2QoEB3x1/dRpQMRrYznf QvRL04i/sPt1wv+YsUCeOaHPoq5bpw3hf73+ax/Rb+5s9Ho1Rz5MQX62k51g YeEoP+ptIr+KhPdyRH9e1/00k+zHh5Wqb408bUzka3xbl/qcD7OxpQydMCLy tVJKdAsi8ld/HbKP6P9Ur5+mamF8GLMwineW2C/mMtpK/yTzYe6VsHZQj8gn P3qnWgYfJtm1eWGK2G9CS695JWfxYbmbxI8k6dLx4z3jh93y+bBaQSlHdm06 7ktjfUepJtbDO+G6gzrR37ekbp2cJr5fITg3pUDHK1P87nEu8GHYiHLjdnli fG//o6oVPszfuvW+6lFiv/l4tmIfKwUzD6fvdjlIx+22cHd85qFgsmjv1v/2 0nHtKa+/ZSIUTJSz7kC7AB1PfJb2QFqMgvm/pF7z2ULHN+7pYA/cScFsFKb5 xOhEf5geIxtKUrAg44lCNTLR7xWzIp0HKZjCZVjYtfH/+58NNqNGwYxWjwuo EeePjcrbH4anKFjusKKb+SgN/9HxU/PLacLf/qq/Lkwa7knfqe95hoItvSi0 9e6l4ePef65yGBHzv+6Vkmmm4dWXDR4K2RP+59YyW/NoeCD1eInqS4LFpZrU vGm4kd23ds/XFAxzFnroTZzH4sUK0zkhFMydnzaY5U7Dc1yPCu8LJ/znB37d 8B8N72iRuUmPo2Cl7O3bjl2l4VLRYiL92RRM8/6VWRpGw0ukNt1+1ErBGHa7 R88tUvGgh4+eod9EvAYdyfdmiPtLB9v75Q5CL3rEy+hxKj7+gqXSsYeIx+pQ 0c8+Kr55elnswggRT8SHg0k1VNziy1iVxBoF4+y6eR6Pp+L/TtbvLt1BxSQN 9nbxaVNxNzdX8qIYFTOvu1t1WJ2KTyXzL+7eRcWCNOvTzwAV76NeLn0oScVY OvYcsyXuX6VdfXZwkIrhvIEzstuo+Mu78xk5qoQ9SVdi0zAF35UlqBhvScU4 L9Y1Ztyj4FGD38QbranY0unbH5NuU3B+IVMeNjsqFmps2R12g4JzPXjfYe5E xdy99F1Mr1KI80DqvrAbEd/s/RhnNQr+ZUTpx2t/wv7gkkwxJwXXEr9yxieF ijm7DCrM0vnwBbuqF91pBGeksHCy8uGxWUpVygwqRrm78c/GKTK+qiaos5pN 8PaeDzkVZDzVuu6063cqNrXaKLX8gIzzpZ1Ut6qjYrWSpo2Tw7x4o7zkca1F wq5fekr/Iwn39n5zN3GZism2dAzpvyLh0mUb8zjWqBjG8N957B4Jf3Sp51gx Cw3Dy5kn8gxIuNy9cPnj3DSs9rEA4/kaDx5WRDoss52GsdS3ki5p8+BmutN7 aSdpWJDRVRWtJi7c/VzGyil1YvzLNOGE71z4K2PHinunCDu18cnIRy68xHLY YVib8P9ydFragwuX8erJwA1pmDO/T++b7Vz43/S6ozesaBil2fjJwhVOPJKS qVL5hIZ1fxRnRNdz4L8bbho/riX4kvibS45s+J7JNe/RehoWcyVIQ+wMG+7K 7Zeo10TEdybgdpkMG05WiVgU+k187+gF0e+TrLhqenFIRh8NExU2kJR3ZsVT /DfXty4Q/nRxexP7DbjniRytfdvpmHf7znDp4H9I5OOyUq0tHcObjj39qDOP hKI+ykk5EKzVbRi0PocEXp8/6OtEx1his6vlM+cQ5f4nCQUXYr6wuHUR/xxi vWhLjfGkY5h1mk5xxwwa5GgbvBFI2EUsmCYmUyjdKvcl32di/v0S3MFgEIGE 29AZls3E+eNm+zLJBpLbXF28WQme+hKWQQ6DzS9urn/aSLDmg7Ojzz4Cc9ZR YAsXwdLiw7rNORBUeP1UO5Xg5s27hF+XQK+JwUfrnQRbkMk875vB9/V+a28N glOiT2tzDkEZS//gp+ebMfzOMp/jhiXYJnkhbGTXFuK+0XSGasODNSV/ebcp aws2tSdr5rcoP1acMfW4js6P2fJ+fL+aL4z9D6eQrOI= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-1, 6}, {-4.858075864430436, 7.184553647824353}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-1, 6}, {-4.858075864430436, 7.184553647824353}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>], ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, { 4.503599627370496*^15, -4.503599627370496*^15}}]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwVl3c81f8Xx0VkXNcdhSShkiRpIcr5EJJRSEUhKXvkG0WSJEULFWUnItsN SaH3ByV7z8ge195b+X1+/9z7eD7O+30+57ze57yHmMUNA0tWFhYWNeLn//9i f3Sz1tcnEemNZ+6hw7PAMXzPxHZiEslGHlsTFpiFkbk09oaOSWS9iaqwc3UG Mklko4Svk+hIvrXRw+IZUD1evabjMon6owa8gs7PgEXEGY3wwQl0VVfKv9Zr GmKNz7YdqRpH4kasrTPlk/DY8r5PdN44cuk3w/zDJsHuv4x9nMnjaOOP5hR9 m0k49ITPq/3xOFKo1KJ4c0xCUW6NuA82jhJDpNNPqU9Ar4CeQ03WGKro3qpj XTkGO5v11m3DR9HV38EzVJYRcFIQnTHyG0UTxdrXdeuG4Vv4ZP8p11FEO7rm Vhg7DHpXAsp3nxlFidUcYwYaw+DJrAjp2TCKoupIrfxBTGhc0ZA2th1B7ncn bDfIDMHjHSeMNRWG0WRMaaHRq36oe0DSkd89jHyCJcbN7PpBuL9dWYI2jASz frOGqfZDZqLHro1jTGTwos0ocbYPOg/mTqJ3TLTR3yT2gFEfyKsdfiy/iYmy l4Ku41K9wLTZmyXRPIg8mRebGoe7oKTLY5vxj0HkW9ZM/5HcBR8uVD58ljmI 5rO+DLI7dIG52g3DqYBBdEWv/or3ZCe07vg8//XUIGq1YlfWWvkDpc2Ygu7X AWTD4lPzT6QDktSMClwi+1H9PhPXi3Gt4J+XtDvhaT/y3hK3Za9TK1gdWn3R 6t6PFh5NCGocawVx0WizE+f7ka6i2LWrtS0Qvtq3zkHuR9LfqK38rC3wNPOG avj9PpRsosGu49IEdqJ+v3CLXuQ688vD6Fk9VBZ+faOj34uqpVaXOczrQeba mGUr9KJBhwvHF4/Uw2y8/sYp4V7EpUA9HtlVB577hFV2tPQgpwtWj2bk6yBQ 7tO3e9o96HGq4meN4RrI1mlPUzzSjW61V1tcO1YB/BO890rEu1FyZKS0/Uw5 3AnEdAyo3SheVL9sOKUc7n7Qbmro6EKioyJjp0XLISCj+8wh/S40cZM+85Rc Blk/uVUnj3Wi27QSma8sv+DftJmkLU8HavgwdGfLsWJ42cN66dlAOzrwsUfT frUIdtUlPEtD7UjvuKST8vciOM2YmJh2aUcL/xnVXFIvgmAnr88eHb/RjXvp XmbGhSA1GqX6PK0NsYRxYLqyCAp+q7im+7WhBNmqPtkf30GvfCC+9mobuml5 dG7d6DvcStrPtYW/DT1akw8xeVQAuHVBTZRXK7ILifCeZ+bBhf4Ok4yzLajE 5K1C4+9cGG7wDqjb24Jyo20E/nnmgmfxLnyWrQVt+yzjtFE0F97HOuxUyG1G cpZfa2NtvsCY+dowLtqM/l0Qe0PamAM+f7a51U83Io0hkmeJRRakN196Of+6 Hnl6XR8avZkGVpOs6dHO9UjoxnxYx2wq7OBMKT+lW49upWztFbqdCkHHVtnC OeqRx0q+g4dXCrhERtxWvlOHHhTUC0RFJ4GCRcdlP7Na1GMr8+7AtgSY8vB1 l1WqRYKs+ka6jHhIei0d0iZQi0wmdAvfa8TD0afLkRdja9D7fI5l5u0PsHJW 0SfGrxpJ7y10KRuIBd/2PJ1DBpXoiZf0lQOL72CeRHrsy1OJfj1fbZ3QeAdW yiao+UcFeuL3qGIiNBpOv187eFe+AlWoarLEn4wCsvUJgR/C5WhIeF40Kisc 7oe+0ONvLkMPX5XW07aEw1TZnyc2gWVIXcqvK9M9DBqkvdZIrGVooqSex1oj FEJnvvecH/qFcmWWJw1WQ4BrF9+2xJhfaMegUla1Ywh4nL9iuGL8C6mx5o6Z 9QaDae56SXRlCRq7tdT9qe41iHthqUOffqK/063NTaUvIYWr6PYdz2LUUXTj 7M39zyE3OLC5+0Ax4h3oGVXHnkHJDlM5zb4i9Njkj9Obi0+h++jSPL9WEdrn /4vz9Wt/4LeQuZUtUIhe9iUrnMAewa7x1cZtFTg62Oj4QfG2Lxx0Lzvy0AtH dt/sF70YDyFUuIwZV46Q938KPoUHfWDjraNDnZYFqMgu+e9ApRfseFabkFaZ j1zEh6pa794Dxff2Vp6H89G9Y6JJE4c8wbnq/cDWDXmI/bCx55mvd6B9N7nf MDIXaXaaP3fYfQsWlJLidrLlomyVh/7sm12BYqB2bcb2CxJM1d5kxO0CGl4e vYHyOai746DEPO9/kNk82F1en4UW216ZqnXZQdXYg5iwY1lI7ffhkkNHbYHJ ut3cJiYTxUd/CysOswaRA+e62J0+IdWj1yavB1yHY+oT0Y2NDHQuUbBQReQa GF5+YhanxEC7xNojjfOvAo3vft4DWjrK/rdxLUHdDDSVPivu6E5FIx/8Tm5s vgxe1qNf89NSkDXvG0FuH2MYRhdzFzWTkA2fc4Gq9HkQGXshH8KfiHhFHlvz SZ0DQ8EfOYf6E5ByW/65XFV9wJ1lPzve/4B+DrxaT/DThoVIqyM8unHoOr7g hF/UBOmyyKxEoVjkf4CkunZZHSzm6w9pMGOQuKrUufnXqiBzknb9l/07JNIu qPniH0BYhJcF66YopLYtPo9fSQk2zo2Yn4gNR9JlG2ILOuTAWefiFfcToeig HMtobu8haP9QbJrVGoK4NtxKvh8qAxp/D5hMuLxGdyT2dNAPSkLm+chLe/le opc6TjujX4iDogk1s9TwBWpftkrdbrwNqLwj6crP/FHV596aNEE6MAuKUrIL HyLFgNqEd2mccO+PnP75qXvojWOVXozKmrIUMLVUTF1RRRT/+R7aiDJD5fCT S8GWiC1Y8JTpoSrlVq2NE+XH5dD11j2NuqNOyisymVV72M3B5TImk8GCKye6 vPKcs/kPVmlpK+utvcr1Ndq08zUeYGH1UJB0ekH5Xwhr428hH9h+NdGDR30j bFbrEuGpfgygcvQOCxcF9s7k2So9eAZhX6ozK1UFYIeezu+jQkHgoz+1ib1q B0h9/LZe5fIKnG68jbKo3wVH/knutqoKhi+iM1tDrkkBnH+r9U/iLai0P7tv qCMLWqnszm+8w6B5a8EMf+5hMGRzDZH5HQEbaYurxq7ycOVS77eSw9Egf6Zp 2dJbCRR9u3zuurwHsyfTf+6pqgKe8SbkVEwsSLPFNPF8VwP1dt1EelUcHOeu vkkxPwV6h/KrUiQSQHKX5WUqvy40mbp0u537CDrrwVMpm/Xg0hOp2ZPeiVCw 8gpvZOiDZXeoYEdbMih3+/Kwip6HER69fYkcqbBZnksudeYCOMtvUnY9nAaf 5st09rQYgUfArWukFxkgzGJr3dFoApoiey+KiGbCPMMwZ3+NBfBk+5r75mTC W/uT5QZ/r0H16W7bEZ0sCK0OtUs7bAnnbr31zLmTDWHlzk+Sc63BrJI99kxD DljuWq82EnMEUYurKdm2X6A0UCXke4AT9C3mZwux5MJyVGdc4wZnsNnp+mtQ +it8MQgc+v3gP3Dx6B3zepxH7Ps8azvTXEGOorzQL5wP+UEGubnet2ApPmxd KysfSguuo9yLt8GrTo8m0F0AzOJ9N2r43EEtuCuiRRiHiqLj0Xs/3oWzo7qF N24XweeQa6ph2Q+g/9rsZHB+EXAwSHbWMj7g0REq8o21GBxsGvVtknwgoarv 7sbAYmik8mlPxz6EtYw7cmEff8CS6/mExLhHkOgan1LUWgKvh1rRUssTYP23 FrJFqQJO/ErPtHd7CZc5L3z+s14HyksKoj7uEdAqYPd1YHc9/OxTWPKojwDD PV4F49r1EMyuKR0oHQlnNBJ+/n1bD1Z/hzvXuyMB811o2i7bADNaMfu/a0WD BMvbBVPzRpDyKJAuDYyBmcUW+U68GSr/nvIdM4uDG5vGlAYHm+HN1VeS2s/i YIyfBZsgtUDpiL77yy9xMHBUUvOfUQso7Vh6UMv3AVpd3I1EplvgpFv70aXv H6BgUvCOmVgbbD4Y0jzJnwD+Q8bfOh+0w/7wWuG0+EToqrJtuBLfDttdFXMU yxNBLvvOWHdpOzgU/RMNnkiEPu8wkT6+Dvj3IXs0QS4JlIXafIaiOgAD4cXD P5JgXsdIe+rrH7DSmXaUakwGncM21//78wfu/711gHc+GWK3ut+bYekERdKT 1bQtKaA3+DZj7lQnRIYG6UtcSIHU+y305aZOGJMQsPjdkAIWmRc6Nsx0gYiP 80pwYSqY6GR5FHJ3w5Ldvu7ZP6ngD0qbfIS7IfgstxfbSip07tYWZcO6wbDG J+rgwTR4PmNnwO7XDVpXVuMyI9Igd2Cm82doN8TKqnl7f06DvlYP+8fJ3RDu LPp2qToNFNFT303V3XBJzkm5nyUdmM+Sc7i29MB33jrqa/N02Hz/0MlyiR6Y 6VgyjXRLB7j5reapQg8Mrij5ng5IhzdG5Uwekx54fu6u/PNv6XBy94gQOa4H cCmJE1HkDHASvPmxOrsH5m6rXM4Qz4BwnpXDgSU9oHpFkHJFLgOmprl0KSM9 IGM/tivYJAOiv++9TzvYC6HvtSzhQwao+9V+uKPaC+GNe9waszNg7Kxbefe5 XriUPc/H/jMDFHt+bMm43QsKLN1LR/szoCfJXonfvxd0bE+1H5nNAP+btKv3 wnrBOz/8yCALA1rYzFO183vhxbyDUQ+ZAV6VHPWZVb1gHrGNJWgLAyRC0ha3 dvVC8b0jr7mEGeAqsarK3NAHM/QIuokkAyin37T5nuoDbrZchqsyA75QT6yP Eu8UWkP+gPNJBpj97tt1zq4PBN1eKB3VZECq/UFnsRd94HAAY27WZ8C5I60h /tF9UBu+HnDgPANW1rzyJjP6wNxffYFizIDTAZUc3+v7ILjcKVHCnAFTF1yk d/f3gYfDH7VL1xgQukPI4Pl8H7DsG1Y7Z8UAYOJusxzEO4qrU59qy4BBhnXU JcF+6C0/sSXYngEv7pCLC/f2Q8wkUmh3ZMAR1c9MSaV+KP2ibzV4gwHt3Cbk IJ1+mBPj1/z8HwN8GliPLJr2w/NRS/9TLgzYG5lkbHajH74F1dRFujKg9rre /Z/e/WCmI1CTfYsBbvsXP0gT7zxFQfl9gbcZILIQVf46rh9yU81e7nNjwM/v alMr2f0g9GA29QnBDn6jWyxK+sGkImhvEsGb9V4plbX0g6b3pqz/2/MEj12V He4Hi3Nm81IEW/R0PX670g9rOXWRzwn/3MmPU//xDIB0R8P5dOL7n27ur7fc PgAlmaSqQCI+I6XGxUqZAXAYNs6QJeJfZ7u7/Qg2AF7j1UlBRH4JlWInI/QH QHQ02zaDyF83pNSG9doAqFU9jXxO6DNneiPA1nUAQk+wT+0h9IuQ4M+ufTQA wR/ItAc2DFCdzG+TfzsATnt/Md5aMmD4y7X16MQBkMr09bC3YECQN/dujm8D 8LSvfvuaGQPkT3/ScqwYACExl9OnLzOgk2rk3NgxABIvTFINLjJAOi4+L3Z9 APDDc42hZxjQYK/Tw0UdhHKHqOXG0wzwODLL8Z/4ICjWPaJXqjGg9CdmAOqD kKBtPDR8jAE3AobcEi4MgtqF8Q2UIwzgvxgQxWszCN63aA2T+xlgyWxntj8d BC/eTybtokT+l/p+FEQNQkmha5n2VqJeKkdi3jEGgUaNXbOmMsDq07LRteZB yLn0SiKW6JeEnRuOqg8Pwocpt1SvyQwYDOGk7lkbBOaEgifvnwyw8hAoGxEb AqY9+8XdORmQMCYSX3lkCEpnHrWmvifGm0k8SD81BCRdsy+PnhPjTx49dtNx CGTlrL0lzQkmnUtazh0CBha/aft6OiR4XXrUXjEEwf8i5YUG0mFw6urVgs4h MFTM+GZRng5WTc5bH2xkgv8YDa9/lQ7W0QFPOPWY4FyzShXalg6JlDeWIxZM 0NNoEzVdTQOmT5RK5S0m5M7URQ38TgMb69TlwAgmtGbFrRS/JVi23FZgiAnM UA1SLGcaJMbWqS8vM0Ey28ZwrTcVmJvbxNpJw1Ba1q/1Jj8VbJaH2qIPDYNR pqDTY0eCi9i1JLyGIdFGo+NkSQokHuGV4Hw5DEueaz1+4SnATNjMOhI3DDGm T1bZnVLA5tnOb2llw8A0mvuYRksBW0MVqaNbRqDbEL68NUiG5BJNDgHJEdAU LZMME02GEQW93iXFEVB4269QM54EdtuvhOebjwDl2vFHzY8IHvTkVksdgdDv S2KQmgh27rkjBidHwV2/YKq/LgEEmk/oTxuOwlLLcdqOtwnw43Dxl0CrUTDf 3sj97nICiExW+VY+GQXOtQJnp954aLDsE9GoHQXGhSvZx4c+wPFz5HPHTMfA ebdF9u6qWBhmvP7a4jQGMVaFmPfjWHhD3ip623sMjGoOhwhCLPE+3DmeGTcG 5sobYlnS30M8dsxPemQMZPXzP8f4xABZ5nreDrdxwDv1BO15IyHv2bDYd/9x EE2h/7C0jgCbYSd/k3CCBSuLK1E4FH24cz6sYBzMVWbIHfZh4LYtcJK2cQKc D2gdGWS8gW7Obzs5Xk4A/mv4fed4EGT28T0fS54EljILWMh2hqWR+UT27wT/ ftstxm4HyjPtP0XqCLYcee8VZAEVLInreosEJ74Lsc1XghlyzNffYlPAsrDp x+Ade8QtrbAfnAg+pWHjJ+iHFK1sNnNumgZsRcm7+GwU+mPbHhtMmQbvly/q Eu9FI2/HMwfFhKYBD5ggFvgdKnE9ckZx/zR0i7NGrnK9RwYPWfwdzk3DlI0k z7JnHLKLCV2tfUfMP3LrKOlNIor4XdobpjADpXHJZ3MrPqE1zYqCZZUZ8B4z D8iWyEQmX6pCjbVnwPyydJSCTyYSCa4/s9VsBvCowPZWxSwUq9vxLfQhMb7q 2TuvzGyUjE++eltN+Cscvu2b9wXlJvCfDLk+C7IfQ0SCj35HW7dsFZl3nCXu CZ7Pf7//jjwebls2dJsFzeCOH2lkhI6bi2ZsfjoLWK6Z2OowQmir1LbgjFn4 MbwxMbwBRyXPT8y+WpkF55g4S/HoItR483pcUNAccOrqVTXZEO/65vjiM2Fz oCmUVB0bV4LYlIb6SLFzMLUe8zm9swQdYrPb9SRrDty1v5o9PP8LBb2+Ef+g eQ78qyJBTKMUaWd7fLwpPA8KvO0z8ofLUdF8UIph4jwIVjXKUU9Uowz3gixB fAGCov9xv/BvQK8OHjgQXLYAlU8evhP+1IBuj8Qk8zUsQDZZ5GR9WwNSNvF9 zzG4AA66pMKMfY2oGrQD53gWwdNotulwXSOa4Gizq724CJXpY/wWO5uRdMic mP/kIuhdLk02729FiZ/2BS2KLINzsvLb+dZOpGreoVe3Zxls8j4vfdnUhf6Q X1BTZAn7R8dHEXJdiOYw8cpMdRlwuRnBkuAu5CnxKeSn5TLITWe5Ge7tRmcj 5CJepy4Dpl73SX+kGy34qiQcUFyBuYmIq6nuveik0cV86/Or4ClV4eVdMoD+ HgzNlsn7C0aOshYl5ePo7R9jm35u4k78JDSwzWwWsRhriKzs3IDpMYt9WlYW 0ZLjCcU8Q1as2/EgxdDiLyo8Rv+n9h8bJlKe0j5hugFXN20+p+C/Eett5Jp7 yb8RNxb6wNeSw459qBJc2y64CVcO0HNRruPAnmuw9qX1ceGZEZtO6LNxYixk V82iRhLew5IaWnWAC5N2+ZGi+YwP7xE+EEnT5MYky/ioX0YoeO65JtN6HW4s /6SHh8kkBQ94enfHK31u7IPp955/sxRccelXLPUyN6bGdIlQ/EvBXzWYJ1Gc uLG5/uwLL/iouNrTVznkYG7M/UZSYeRhKp64OF/L3c2NHf8Y1XD6DhX3kol8 Vd7Pje3S/2/U7x4VN7RUNXw6TMwP73hW9ICKb2gIaOGa5cb0Jh5c3P+Uil9K 39PJycGDtU6tMlrDqTjJ0niUQ5oHY/ZYiT7Mo+LO9fnsbO482NxbXT3SChUX 92Ud+c+TB3NeG+p7/ZeKNxzVrO725sEo/CKcghtouFxYw5vvT4j5T7Pnt3DS 8LUrI3s8Ingw6a9fScwtNNx/XEBr+jsPxshIMO+VpeExnC4BXewkzDA9aNfW 6zTc4FvuzTPcJGzMJz9U2pqGszn8u1BAJmHulx/KHbej4VY1T3ZECJAwm8s/ e84603DpNzGMC3tJGP5VJELTk4bn7qyur9IhYZvfn83xfE3Da5X3CuS/JmHC PLaard9peHd8zvvNoSRM06A11LSQhk+T1KQdIwn7jsr6zmIaTms3UxGJJ2Es s3cWGktpuKFbsL13DglbM9CJC6yn4S0Z60itjYQd379WpDRAw5n8L7Si/pCw oOeRUl5DNHzpnlDTfA8JIwmf1MwfpuGCOkdHEkZImMJsfOi+CRp+iWm3mWuN hP0oTTrUvEDDO0WbbapEeLHS9d3ORpvo+ITftdndO3mx7oVKhiEXHV+fmLrn tYcX0yne7aLDQ8dFC3heH5Dlxbx9vt2Q4aPjFsYqBS9VeDGHiz2jefx0fOBl KvXCdV6MwjLGubKLji8sHYtMt+HFUr+SW1Il6DiH+S+JTY68mDMzd/qSJB2X kOlVyr3Fi8WUK60n7qPjNuUCVkJ+vJhg07ww6RAdH2N9+K0ziWDTM86jJ+j4 teDEmZB0Xsx1y1PGDaDjv3dXS+lm8WIdso17JjA6/ktza0RePmHv3p/cdpKO xwZk3A2t4cUibSYe2p2m44KiTVlnG3kx4chIVlyLjgd+WhnlaCPiybgRwqdD xz0b1U1u9fJiienLA5Fn6PhFoY7jBvO8mOTnoC83ztHx6pQNt7hWCL2Sr5qE GNJxtRN70vB/hB41O2eyz9PxQ+Y3tx/gJGNqpRWdPRfpOCmB8x/PNjKWey8c m7lMxx/Ky8gV7yBjkXzjU4MmdHyl9JyTxy4ydnwm06nJlI4PjUZ3MveTMTy7 GH93hY4XHTyKfmKE/c2AyrAFHVcovrToqU7GEg/+6k65RsczDL0PHNEixlMN 99pcp+ORbhXvYs+RMc/gW/FVlnSczjXdYmxEfE+bu/a2FR1/Gs5PoZqSMR1n rVdbrem4W8FV7/tWZMzbHq/QtiHW/4xfrpw94Y8yfqyd4OvdqVPjN8iYcGHm /uu2dNyAbcnc5A4ZyxYdeW1hR8dLg7eH0b3IGIvx6b8tBIPEybpyHzLmmi78 W8OejkufDlA59pyMibJNtFMc6Hjc76w7U0GEHuq1i/YECzm0ffoYQsYkpSdd cYKD/v4bNgsnY3ozX8+QHen4psBd4vzvyJhzSrT3eYK9RLUuVcWRsTkVbo43 BM99uvHKN5GM+bvZ/K4h2P5kSLlSGhmzGdi5zOpEx3sbv7HOfiLiXY03PUCw kVW3YnIOGZNlvch2nuCaRXaXq3lkLEYgesCFYI0n+1IEcUKfQz3rzwjOF9Lv q/lB6L3jkW4UwYdTb2/zKyP09R0v+0hw8onIc8rVZKyxw9M5hWDRmsJn8/Vk bO1u8PFEgt+aDxWnthD6Pw/eG00w0yFVhN5Bxn5wLDwPIFjxzn937nSTMZKC 4rg7wc8fyTV29ZOxpe5IDVOCO1+uymgMkzHzHqMQJYJlo/EnqeNkTFAhsYlO sE/yo37aDFEfbD/YBon8G3O04M4CsR7e/dsyCZYo5gvvWiH05lYRcifYvaZx Tn2djE2JUFblCS5vDzubysaHHb/o922a0F+YaZZM4+TDfB3bDeMJdprbyX6H xIcxFLESA4JxluErXRQ+rDuHyb1CrC+NN/2b+hY+TGeZY0cEwTm7FZxpInwY XmaTUE7UA+ehv+Xu4nwYSZxEMyb4knLR7i4JPky2qf9ED1FP/y7otKcc4MM4 5cdKOol607tGlaMdIeJJchE2JDj2RnOQuwIfduRvj3gxUa8a/uYa6ip8GIvk tsMBRD2HBu9+n6LOhz3Pkz86QtT7SMzIKlWL8J/c2QoEB3x1/dRpQMRrYznf QvRL04i/sPt1wv+YsUCeOaHPoq5bpw3hf73+ax/Rb+5s9Ho1Rz5MQX62k51g YeEoP+ptIr+KhPdyRH9e1/00k+zHh5Wqb408bUzka3xbl/qcD7OxpQydMCLy tVJKdAsi8ld/HbKP6P9Ur5+mamF8GLMwineW2C/mMtpK/yTzYe6VsHZQj8gn P3qnWgYfJtm1eWGK2G9CS695JWfxYbmbxI8k6dLx4z3jh93y+bBaQSlHdm06 7ktjfUepJtbDO+G6gzrR37ekbp2cJr5fITg3pUDHK1P87nEu8GHYiHLjdnli fG//o6oVPszfuvW+6lFiv/l4tmIfKwUzD6fvdjlIx+22cHd85qFgsmjv1v/2 0nHtKa+/ZSIUTJSz7kC7AB1PfJb2QFqMgvm/pF7z2ULHN+7pYA/cScFsFKb5 xOhEf5geIxtKUrAg44lCNTLR7xWzIp0HKZjCZVjYtfH/+58NNqNGwYxWjwuo EeePjcrbH4anKFjusKKb+SgN/9HxU/PLacLf/qq/Lkwa7knfqe95hoItvSi0 9e6l4ePef65yGBHzv+6Vkmmm4dWXDR4K2RP+59YyW/NoeCD1eInqS4LFpZrU vGm4kd23ds/XFAxzFnroTZzH4sUK0zkhFMydnzaY5U7Dc1yPCu8LJ/znB37d 8B8N72iRuUmPo2Cl7O3bjl2l4VLRYiL92RRM8/6VWRpGw0ukNt1+1ErBGHa7 R88tUvGgh4+eod9EvAYdyfdmiPtLB9v75Q5CL3rEy+hxKj7+gqXSsYeIx+pQ 0c8+Kr55elnswggRT8SHg0k1VNziy1iVxBoF4+y6eR6Pp+L/TtbvLt1BxSQN 9nbxaVNxNzdX8qIYFTOvu1t1WJ2KTyXzL+7eRcWCNOvTzwAV76NeLn0oScVY OvYcsyXuX6VdfXZwkIrhvIEzstuo+Mu78xk5qoQ9SVdi0zAF35UlqBhvScU4 L9Y1Ztyj4FGD38QbranY0unbH5NuU3B+IVMeNjsqFmps2R12g4JzPXjfYe5E xdy99F1Mr1KI80DqvrAbEd/s/RhnNQr+ZUTpx2t/wv7gkkwxJwXXEr9yxieF ijm7DCrM0vnwBbuqF91pBGeksHCy8uGxWUpVygwqRrm78c/GKTK+qiaos5pN 8PaeDzkVZDzVuu6063cqNrXaKLX8gIzzpZ1Ut6qjYrWSpo2Tw7x4o7zkca1F wq5fekr/Iwn39n5zN3GZism2dAzpvyLh0mUb8zjWqBjG8N957B4Jf3Sp51gx Cw3Dy5kn8gxIuNy9cPnj3DSs9rEA4/kaDx5WRDoss52GsdS3ki5p8+BmutN7 aSdpWJDRVRWtJi7c/VzGyil1YvzLNOGE71z4K2PHinunCDu18cnIRy68xHLY YVib8P9ydFragwuX8erJwA1pmDO/T++b7Vz43/S6ozesaBil2fjJwhVOPJKS qVL5hIZ1fxRnRNdz4L8bbho/riX4kvibS45s+J7JNe/RehoWcyVIQ+wMG+7K 7Zeo10TEdybgdpkMG05WiVgU+k187+gF0e+TrLhqenFIRh8NExU2kJR3ZsVT /DfXty4Q/nRxexP7DbjniRytfdvpmHf7znDp4H9I5OOyUq0tHcObjj39qDOP hKI+ykk5EKzVbRi0PocEXp8/6OtEx1his6vlM+cQ5f4nCQUXYr6wuHUR/xxi vWhLjfGkY5h1mk5xxwwa5GgbvBFI2EUsmCYmUyjdKvcl32di/v0S3MFgEIGE 29AZls3E+eNm+zLJBpLbXF28WQme+hKWQQ6DzS9urn/aSLDmg7Ojzz4Cc9ZR YAsXwdLiw7rNORBUeP1UO5Xg5s27hF+XQK+JwUfrnQRbkMk875vB9/V+a28N glOiT2tzDkEZS//gp+ebMfzOMp/jhiXYJnkhbGTXFuK+0XSGasODNSV/ebcp aws2tSdr5rcoP1acMfW4js6P2fJ+fL+aL4z9D6eQrOI= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-1, 6}, {-4.858075864430436, 7.184553647824353}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{-1, 6}, {-4.858075864430436, 7.184553647824353}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.929434294124979*^9}, CellLabel->"Out[38]=",ExpressionUUID->"e2d83748-4122-4293-8c03-161769e7ef1f"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Liste", "=", TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"0.\"\>", ShowStringCharacters->False], 0., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1\"\>", ShowStringCharacters->False], 2.1, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.\"\>", ShowStringCharacters->False], 0., AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"0.2\"\>", ShowStringCharacters->False], 0.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1429\"\>", ShowStringCharacters->False], 2.142850731111446, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.43028\"\>", ShowStringCharacters->False], 0.43028145924386907`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"0.4\"\>", ShowStringCharacters->False], 0.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2735\"\>", ShowStringCharacters->False], 2.2734723041622935`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.88071\"\>", ShowStringCharacters->False], 0.8807058187944055, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"0.6\"\>", ShowStringCharacters->False], 0.6000000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.4974\"\>", ShowStringCharacters->False], 2.497382923696419, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.3642\"\>", ShowStringCharacters->False], 1.364200917423707, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"0.8\"\>", ShowStringCharacters->False], 0.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.8208\"\>", ShowStringCharacters->False], 2.820839707076508, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.8727\"\>", ShowStringCharacters->False], 1.872654493899903, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"1.\"\>", ShowStringCharacters->False], 1., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.2449\"\>", ShowStringCharacters->False], 3.244872601107243, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.3497\"\>", ShowStringCharacters->False], 2.3496884629088095`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"1.2\"\>", ShowStringCharacters->False], 1.2000000000000002`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.7465\"\>", ShowStringCharacters->False], 3.7465017100681184`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.6126\"\>", ShowStringCharacters->False], 2.6125621080361876`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"1.4\"\>", ShowStringCharacters->False], 1.4000000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.2603\"\>", ShowStringCharacters->False], 4.260302656780939, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.4306\"\>", ShowStringCharacters->False], 2.430554348749054, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"1.6\"\>", ShowStringCharacters->False], 1.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.6722\"\>", ShowStringCharacters->False], 4.672183777101664, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.5587\"\>", ShowStringCharacters->False], 1.5586789793959266`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"1.8\"\>", ShowStringCharacters->False], 1.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.843\"\>", ShowStringCharacters->False], 4.842959461898668, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.088785\"\>", ShowStringCharacters->False], 0.0887854796017391, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"2.\"\>", ShowStringCharacters->False], 2., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.7043\"\>", ShowStringCharacters->False], 4.704259209312685, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.4266\"\>", ShowStringCharacters->False], -1.4265660268165903`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"2.2\"\>", ShowStringCharacters->False], 2.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.3118\"\>", ShowStringCharacters->False], 4.311751651071175, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.3784\"\>", ShowStringCharacters->False], -2.3783726841610946`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"2.4\"\>", ShowStringCharacters->False], 2.4000000000000004`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.8005\"\>", ShowStringCharacters->False], 3.8004967493824564`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.6266\"\>", ShowStringCharacters->False], -2.62661823139859, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"2.6\"\>", ShowStringCharacters->False], 2.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.294\"\>", ShowStringCharacters->False], 3.2939825555000697`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.3834\"\>", ShowStringCharacters->False], -2.383390835239078, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"2.8\"\>", ShowStringCharacters->False], 2.8000000000000003`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.8613\"\>", ShowStringCharacters->False], 2.861310133224551, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.9246\"\>", ShowStringCharacters->False], -1.9246023997152506`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"3.\"\>", ShowStringCharacters->False], 3., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5271\"\>", ShowStringCharacters->False], 2.527107032543586, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.4177\"\>", ShowStringCharacters->False], -1.417667925402084, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"3.2\"\>", ShowStringCharacters->False], 3.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2927\"\>", ShowStringCharacters->False], 2.2927281706535534`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.93176\"\>", ShowStringCharacters->False], -0.9317590302168947, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"3.4\"\>", ShowStringCharacters->False], 3.4000000000000004`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1523\"\>", ShowStringCharacters->False], 2.1522868870475413`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.47732\"\>", ShowStringCharacters->False], -0.47732162919947463`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"3.6\"\>", ShowStringCharacters->False], 3.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1003\"\>", ShowStringCharacters->False], 2.1003353663334257`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.044591\"\>", ShowStringCharacters->False], -0.04459069773394114, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"3.8\"\>", ShowStringCharacters->False], 3.8000000000000003`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1342\"\>", ShowStringCharacters->False], 2.1341505567924, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.3839\"\>", ShowStringCharacters->False], 0.38389528636130055`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"4.\"\>", ShowStringCharacters->False], 4., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2551\"\>", ShowStringCharacters->False], 2.255059558711176, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.82887\"\>", ShowStringCharacters->False], 0.8288727879486892, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"4.2\"\>", ShowStringCharacters->False], 4.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.4681\"\>", ShowStringCharacters->False], 2.468093694613491, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.3088\"\>", ShowStringCharacters->False], 1.308789920173394, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"4.4\"\>", ShowStringCharacters->False], 4.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.7808\"\>", ShowStringCharacters->False], 2.7808035383918015`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.82\"\>", ShowStringCharacters->False], 1.8200107767172535`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"4.6\"\>", ShowStringCharacters->False], 4.6000000000000005`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.194\"\>", ShowStringCharacters->False], 3.193961931065244, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2971\"\>", ShowStringCharacters->False], 2.297074069884017, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"4.8\"\>", ShowStringCharacters->False], 4.800000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.6888\"\>", ShowStringCharacters->False], 3.688847569676592, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.6076\"\>", ShowStringCharacters->False], 2.607636632776812, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"5.\"\>", ShowStringCharacters->False], 5., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.2079\"\>", ShowStringCharacters->False], 4.207922295426031, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.485\"\>", ShowStringCharacters->False], 2.48499303870686, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"5.2\"\>", ShowStringCharacters->False], 5.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.6376\"\>", ShowStringCharacters->False], 4.637559398466595, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.6901\"\>", ShowStringCharacters->False], 1.6901440550109084`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"5.4\"\>", ShowStringCharacters->False], 5.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.8392\"\>", ShowStringCharacters->False], 4.839246371294883, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.25349\"\>", ShowStringCharacters->False], 0.2534945070719745, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"5.6\"\>", ShowStringCharacters->False], 5.6000000000000005`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.7329\"\>", ShowStringCharacters->False], 4.732886512727096, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.2787\"\>", ShowStringCharacters->False], -1.2786695592881367`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"5.8\"\>", ShowStringCharacters->False], 5.800000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.3617\"\>", ShowStringCharacters->False], 4.361650459526603, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.3119\"\>", ShowStringCharacters->False], -2.31194941316903, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"6.\"\>", ShowStringCharacters->False], 6., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.8568\"\>", ShowStringCharacters->False], 3.8568441384052488`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.6282\"\>", ShowStringCharacters->False], -2.628181281869617, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"6.2\"\>", ShowStringCharacters->False], 6.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.3453\"\>", ShowStringCharacters->False], 3.345348890835447, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.4234\"\>", ShowStringCharacters->False], -2.423439457200586, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"6.4\"\>", ShowStringCharacters->False], 6.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.903\"\>", ShowStringCharacters->False], 2.9029810339977926`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.9787\"\>", ShowStringCharacters->False], -1.9786891415326084`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"6.6\"\>", ShowStringCharacters->False], 6.6000000000000005`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5579\"\>", ShowStringCharacters->False], 2.557899192041629, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.4709\"\>", ShowStringCharacters->False], -1.4708772647652313`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"6.8\"\>", ShowStringCharacters->False], 6.800000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.3132\"\>", ShowStringCharacters->False], 2.31324695188101, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.98112\"\>", ShowStringCharacters->False], -0.9811232506667218, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"7.\"\>", ShowStringCharacters->False], 7., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1631\"\>", ShowStringCharacters->False], 2.1631102244931766`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.52549\"\>", ShowStringCharacters->False], -0.5254862349962981, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"7.2\"\>", ShowStringCharacters->False], 7.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1016\"\>", ShowStringCharacters->False], 2.101590240691465, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.091809\"\>", ShowStringCharacters->False], -0.0918085895999653, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"7.4\"\>", ShowStringCharacters->False], 7.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1262\"\>", ShowStringCharacters->False], 2.126157349135687, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.3384\"\>", ShowStringCharacters->False], 0.33840135062512156`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"7.6\"\>", ShowStringCharacters->False], 7.6000000000000005`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2379\"\>", ShowStringCharacters->False], 2.2379018942801494`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.78285\"\>", ShowStringCharacters->False], 0.7828518785210552, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"7.8\"\>", ShowStringCharacters->False], 7.800000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.4414\"\>", ShowStringCharacters->False], 2.4413694716958054`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.258\"\>", ShowStringCharacters->False], 1.258032804548396, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"8.\"\>", ShowStringCharacters->False], 8., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.7432\"\>", ShowStringCharacters->False], 2.7431640916955935`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.7627\"\>", ShowStringCharacters->False], 1.762660929333065, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"8.2\"\>", ShowStringCharacters->False], 8.200000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.1454\"\>", ShowStringCharacters->False], 3.145435931219388, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2494\"\>", ShowStringCharacters->False], 2.2494040950573035`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"8.4\"\>", ShowStringCharacters->False], 8.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.6332\"\>", ShowStringCharacters->False], 3.6332499429370397`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5873\"\>", ShowStringCharacters->False], 2.5872935142768476`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"8.6\"\>", ShowStringCharacters->False], 8.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.1538\"\>", ShowStringCharacters->False], 4.153847917897761, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5278\"\>", ShowStringCharacters->False], 2.5277765185467054`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"8.8\"\>", ShowStringCharacters->False], 8.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.6001\"\>", ShowStringCharacters->False], 4.600070517219406, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.8081\"\>", ShowStringCharacters->False], 1.8081483923692065`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"9.\"\>", ShowStringCharacters->False], 9., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.8318\"\>", ShowStringCharacters->False], 4.831750346782529, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.42932\"\>", ShowStringCharacters->False], 0.42931610781744056`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"9.2\"\>", ShowStringCharacters->False], 9.200000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.7591\"\>", ShowStringCharacters->False], 4.759056984581098, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.1335\"\>", ShowStringCharacters->False], -1.1335359170062103`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"9.4\"\>", ShowStringCharacters->False], 9.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.4105\"\>", ShowStringCharacters->False], 4.410475648231704, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.236\"\>", ShowStringCharacters->False], -2.23599995706505, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"9.6\"\>", ShowStringCharacters->False], 9.600000000000001, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.9128\"\>", ShowStringCharacters->False], 3.9128246662810224`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.626\"\>", ShowStringCharacters->False], -2.626011188080984, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"9.8\"\>", ShowStringCharacters->False], 9.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.3975\"\>", ShowStringCharacters->False], 3.3975277976940492`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.4611\"\>", ShowStringCharacters->False], -2.4610871227909, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"10.\"\>", ShowStringCharacters->False], 10., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.9458\"\>", ShowStringCharacters->False], 2.945826517364145, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.0308\"\>", ShowStringCharacters->False], -2.030756033740118, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"10.2\"\>", ShowStringCharacters->False], 10.200000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.59\"\>", ShowStringCharacters->False], 2.5899848796960883`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.5254\"\>", ShowStringCharacters->False], -1.5253908057538792`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"10.4\"\>", ShowStringCharacters->False], 10.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.3347\"\>", ShowStringCharacters->False], 2.3346999699644058`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.0327\"\>", ShowStringCharacters->False], -1.0327278027282143`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"10.6\"\>", ShowStringCharacters->False], 10.600000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1747\"\>", ShowStringCharacters->False], 2.1747052085717193`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.5722\"\>", ShowStringCharacters->False], -0.5722015074751649, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"10.8\"\>", ShowStringCharacters->False], 10.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1042\"\>", ShowStringCharacters->False], 2.1041811320186423`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.136\"\>", ShowStringCharacters->False], -0.1360044735512621, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"11.\"\>", ShowStringCharacters->False], 11., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1197\"\>", ShowStringCharacters->False], 2.119716039514171, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.29163\"\>", ShowStringCharacters->False], 0.29162612882329186`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"11.2\"\>", ShowStringCharacters->False], 11.200000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2217\"\>", ShowStringCharacters->False], 2.221731887032873, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.73197\"\>", ShowStringCharacters->False], 0.731966981852589, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"11.4\"\>", ShowStringCharacters->False], 11.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.4145\"\>", ShowStringCharacters->False], 2.4144556400387986`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.2024\"\>", ShowStringCharacters->False], 1.2023665453911014`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"11.6\"\>", ShowStringCharacters->False], 11.600000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.7053\"\>", ShowStringCharacters->False], 2.705323723293991, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.7103\"\>", ShowStringCharacters->False], 1.7102529268929225`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"11.8\"\>", ShowStringCharacters->False], 11.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.0977\"\>", ShowStringCharacters->False], 3.0977476323128865`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2038\"\>", ShowStringCharacters->False], 2.2038101775416945`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"12.\"\>", ShowStringCharacters->False], 12., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.5782\"\>", ShowStringCharacters->False], 3.5782166636704558`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5658\"\>", ShowStringCharacters->False], 2.5657853107286397`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"12.2\"\>", ShowStringCharacters->False], 12.200000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.1\"\>", ShowStringCharacters->False], 4.10003920777473, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5635\"\>", ShowStringCharacters->False], 2.563456504209923, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"12.4\"\>", ShowStringCharacters->False], 12.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.5603\"\>", ShowStringCharacters->False], 4.56033225754325, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.9202\"\>", ShowStringCharacters->False], 1.9202364149717932`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"12.6\"\>", ShowStringCharacters->False], 12.600000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.8213\"\>", ShowStringCharacters->False], 4.821300470769562, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.59209\"\>", ShowStringCharacters->False], 0.5920941335322278, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"12.8\"\>", ShowStringCharacters->False], 12.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.7811\"\>", ShowStringCharacters->False], 4.7810789871373185`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.97647\"\>", ShowStringCharacters->False], -0.9764713932688168, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"13.\"\>", ShowStringCharacters->False], 13., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.4572\"\>", ShowStringCharacters->False], 4.457198617526808, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.1547\"\>", ShowStringCharacters->False], -2.1546540761345168`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"13.2\"\>", ShowStringCharacters->False], 13.200000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.9689\"\>", ShowStringCharacters->False], 3.9689044968514398`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.6127\"\>", ShowStringCharacters->False], -2.612685571880036, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"13.4\"\>", ShowStringCharacters->False], 13.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.4505\"\>", ShowStringCharacters->False], 3.4505362783859765`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.497\"\>", ShowStringCharacters->False], -2.4969691122235402`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"13.6\"\>", ShowStringCharacters->False], 13.600000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.9898\"\>", ShowStringCharacters->False], 2.9897941810660864`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.0833\"\>", ShowStringCharacters->False], -2.0832796608057373`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"13.8\"\>", ShowStringCharacters->False], 13.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.623\"\>", ShowStringCharacters->False], 2.6230463824831265`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.5796\"\>", ShowStringCharacters->False], -1.5795675681443653`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"14.\"\>", ShowStringCharacters->False], 14., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.3573\"\>", ShowStringCharacters->False], 2.3573377328854956`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.0828\"\>", ShowStringCharacters->False], -1.0827945507206322`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"14.2\"\>", ShowStringCharacters->False], 14.200000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1876\"\>", ShowStringCharacters->False], 2.18762482235794, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.62007\"\>", ShowStringCharacters->False], -0.6200748087690777, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"14.4\"\>", ShowStringCharacters->False], 14.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1075\"\>", ShowStringCharacters->False], 2.1075186951895906`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.18377\"\>", ShowStringCharacters->False], -0.18376560244851625`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"14.6\"\>", ShowStringCharacters->False], 14.600000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1137\"\>", ShowStringCharacters->False], 2.1136579616747633`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.24556\"\>", ShowStringCharacters->False], 0.24556402044984843`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"14.8\"\>", ShowStringCharacters->False], 14.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2065\"\>", ShowStringCharacters->False], 2.2064873528735975`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.68597\"\>", ShowStringCharacters->False], 0.6859690980435901, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"15.\"\>", ShowStringCharacters->False], 15., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.3899\"\>", ShowStringCharacters->False], 2.3898517438728217`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.1534\"\>", ShowStringCharacters->False], 1.1533960324810355`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"15.2\"\>", ShowStringCharacters->False], 15.200000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.6701\"\>", ShowStringCharacters->False], 2.6700586489042117`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.6529\"\>", ShowStringCharacters->False], 1.6528527822501458`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"15.4\"\>", ShowStringCharacters->False], 15.4, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.0512\"\>", ShowStringCharacters->False], 3.051240047644521, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1526\"\>", ShowStringCharacters->False], 2.1525942840179653`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"15.6\"\>", ShowStringCharacters->False], 15.600000000000001`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.5237\"\>", ShowStringCharacters->False], 3.52367924174663, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5376\"\>", ShowStringCharacters->False], 2.5376180354625024`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"15.8\"\>", ShowStringCharacters->False], 15.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.0443\"\>", ShowStringCharacters->False], 4.0442846699561334`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.5892\"\>", ShowStringCharacters->False], 2.5892118957894503`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"16.\"\>", ShowStringCharacters->False], 16., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.518\"\>", ShowStringCharacters->False], 4.518022701999556, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.027\"\>", ShowStringCharacters->False], 2.026998696422546, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"16.2\"\>", ShowStringCharacters->False], 16.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.807\"\>", ShowStringCharacters->False], 4.8070029372517284`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.76168\"\>", ShowStringCharacters->False], 0.7616827544147746, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"16.4\"\>", ShowStringCharacters->False], 16.400000000000002`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.801\"\>", ShowStringCharacters->False], 4.800952105533656, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.82087\"\>", ShowStringCharacters->False], -0.8208701514699543, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"16.6\"\>", ShowStringCharacters->False], 16.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.5024\"\>", ShowStringCharacters->False], 4.502382024708796, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.0617\"\>", ShowStringCharacters->False], -2.061682445787708, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"16.8\"\>", ShowStringCharacters->False], 16.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.0243\"\>", ShowStringCharacters->False], 4.024315531503292, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.5975\"\>", ShowStringCharacters->False], -2.5975101166266508`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"17.\"\>", ShowStringCharacters->False], 17., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.5042\"\>", ShowStringCharacters->False], 3.5041699418130126`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.5268\"\>", ShowStringCharacters->False], -2.526814638118537, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"17.2\"\>", ShowStringCharacters->False], 17.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.0349\"\>", ShowStringCharacters->False], 3.0348710170015227`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-2.1338\"\>", ShowStringCharacters->False], -2.133824483293441, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"17.4\"\>", ShowStringCharacters->False], 17.400000000000002`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.6575\"\>", ShowStringCharacters->False], 2.6574982742130158`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.6342\"\>", ShowStringCharacters->False], -1.6341662764483469`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"17.6\"\>", ShowStringCharacters->False], 17.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.381\"\>", ShowStringCharacters->False], 2.3809682884798957`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-1.1355\"\>", ShowStringCharacters->False], -1.135491557800468, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"17.8\"\>", ShowStringCharacters->False], 17.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.2012\"\>", ShowStringCharacters->False], 2.2012347146829834`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.66723\"\>", ShowStringCharacters->False], -0.6672284882432371, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"18.\"\>", ShowStringCharacters->False], 18., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1121\"\>", ShowStringCharacters->False], 2.1121264457099644`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.22774\"\>", ShowStringCharacters->False], -0.22774083707034734`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"18.2\"\>", ShowStringCharacters->False], 18.2, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1093\"\>", ShowStringCharacters->False], 2.1092675478552776`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.19906\"\>", ShowStringCharacters->False], 0.19906143080058958`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"18.4\"\>", ShowStringCharacters->False], 18.400000000000002`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1921\"\>", ShowStringCharacters->False], 2.192075587798022, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.63237\"\>", ShowStringCharacters->False], 0.6323653428556701, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"18.6\"\>", ShowStringCharacters->False], 18.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.3646\"\>", ShowStringCharacters->False], 2.364597886843891, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.1\"\>", ShowStringCharacters->False], 1.1000204753949496`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"18.8\"\>", ShowStringCharacters->False], 18.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.6346\"\>", ShowStringCharacters->False], 2.6345827540166087`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"1.6037\"\>", ShowStringCharacters->False], 1.603748441632379, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"19.\"\>", ShowStringCharacters->False], 19., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.0059\"\>", ShowStringCharacters->False], 3.0058873993497595`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1029\"\>", ShowStringCharacters->False], 2.102916638452622, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"19.2\"\>", ShowStringCharacters->False], 19.200000000000003`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.47\"\>", ShowStringCharacters->False], 3.4700289537496936`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.513\"\>", ShowStringCharacters->False], 2.5129727250629004`, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"19.4\"\>", ShowStringCharacters->False], 19.400000000000002`, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"3.9902\"\>", ShowStringCharacters->False], 3.990180226956472, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.6091\"\>", ShowStringCharacters->False], 2.609083597930756, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"19.6\"\>", ShowStringCharacters->False], 19.6, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.474\"\>", ShowStringCharacters->False], 4.474010158339445, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"2.1158\"\>", ShowStringCharacters->False], 2.115838830931807, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"19.8\"\>", ShowStringCharacters->False], 19.8, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.789\"\>", ShowStringCharacters->False], 4.789034411348978, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"0.9236\"\>", ShowStringCharacters->False], 0.9236041765415638, AutoDelete->True]}], "}"}], ",", RowBox[{"{", RowBox[{ InterpretationBox[ StyleBox["\<\"20.\"\>", ShowStringCharacters->False], 20., AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"4.8168\"\>", ShowStringCharacters->False], 4.816750916821219, AutoDelete->True], ",", InterpretationBox[ StyleBox["\<\"-0.65721\"\>", ShowStringCharacters->False], -0.6572149765193166, AutoDelete->True]}], "}"}]}], "}"}], NumberForm[#, 5]& ]}], ";"}], "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.929433066080488*^9, 3.9294330995279713`*^9}}, CellLabel->"In[39]:=",ExpressionUUID->"eefe058f-c8b4-478a-984d-36f8b2be723f"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "Extrahieren", " ", "der", " ", "separaten", " ", "Listen", " ", "f\[UDoubleDot]r", " ", RowBox[{"{", RowBox[{"t_i", ",", " ", RowBox[{"x", RowBox[{"(", "t_i", ")"}]}]}], "}"}], " ", "und", " ", RowBox[{"{", RowBox[{"t_i", ",", " ", RowBox[{"v", RowBox[{"(", "t_i", ")"}]}]}], "}"}]}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"xt", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"Liste", "[", RowBox[{"[", RowBox[{"All", ",", "1"}], "]"}], "]"}], ",", RowBox[{"Liste", "[", RowBox[{"[", RowBox[{"All", ",", "2"}], "]"}], "]"}]}], "}"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"vt", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"Liste", "[", RowBox[{"[", RowBox[{"All", ",", "1"}], "]"}], "]"}], ",", RowBox[{"Liste", "[", RowBox[{"[", RowBox[{"All", ",", "3"}], "]"}], "]"}]}], "}"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ "Erzeugen", " ", "von", " ", "interpolation", " ", "function", " ", "f\[UDoubleDot]r", " ", "x", RowBox[{"(", "t", ")"}]}], "*)"}], "\[IndentingNewLine]", RowBox[{"f", "=", RowBox[{"Interpolation", "[", "xt", "]"}]}]}]}]], "Input", CellChangeTimes->{ 3.929382002203574*^9, {3.929382228928421*^9, 3.9293823662105017`*^9}, 3.9293824245479193`*^9, {3.929382538576482*^9, 3.929382551960409*^9}, { 3.929382698409658*^9, 3.929382752858899*^9}, {3.929382839660921*^9, 3.929382874865225*^9}, 3.929430938287936*^9, 3.9294320606684637`*^9, { 3.9294331146324*^9, 3.9294331146340923`*^9}, {3.929525278225198*^9, 3.929525391240587*^9}},ExpressionUUID->"ffe0c812-05c2-4ce1-a5a8-\ 36a3ca936883"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj79qvvMzMwAQDd0wYnD 3dQ/1eEQGXq3AUDSUFjDa77lP8E85pxp6QRAIqE47Akn8D8yC3yF6SMKQNWb k3tZVPU/wtlabl9gEEC7wbiC/fH6P375omjzGxNAgEqXStgXAEDGC6/rjL8S QLtJtw/c7gJAEQ5mtkYcD0DziT6XnbgFQFTDNWA3RghA2iBupGZSCEDLBl8p 6cYDQFrNgu1ZJAtAKJslyBM/AUCJ0D+8VMYNQCWNhBeY4gBAWwqypoYtEEC0 c4qTfloCQD63Ng34kxFASgAe0bsqBkB4j482beISQBR0FxSR5gtAf/LaffdM FECuFiJXn4wRQAX2WabgsBVAa2R4VRJeE0DiJK2RzfwWQAZ1qj8s6hFAjN7y ms9kGEDM1CjIO88MQI3DDGfVtBlAcm+Fe7PPBkBbMxlR8CAbQIYITNsqpgJA p0NZHGqGHEA5YOZLNucAQEt/barn0x1A7Yc7FfAwAUC8RXRWej0fQPrmOk0b ogNAwpunYohHIEBgFIKKqx0IQOXkrgoD7SBACpB47GljDkBvc69BiKAhQNLx cbV/fhJApRcaWg9IIkCMnQ9qGD4TQEEBfgGh/SJAc3a3Gxu8EEAcu3sZ4q8j QE9ILKV1VwpAoorjEiVWJEDPuoK6eB4FQI+fRJtyCiVAL4CbVJXRAUAoyg8F wrIlQNG9D5XQzABAAMV038BXJkB8J5E/Cp0BQD4F00jKCidAIKrqAPigBEAo W5uT1bEnQCf6kDRWpAlAePZcbetmKEB0i8xCHGkQQHSniCgDEClAy30INLIK E0CvKE5UyrUpQIElKLNR3BJAUe8MD5xpKkBibI72CZ8PQJ/LNatvEStAuOGH S5oQCUBT7VfWTccrQDCfP8Qq8ANAR98Tctt5LEAylYC6K1MBQObmOe9qIC1A KgTZRDLZAEDrM1n7BNUtQESJldViaQJAnJbi6KB9LkAiHY368fsFQIzJBUfs Ii9AySs399KNC0DiQSI0QtYvQGfCiKqNWxFA8mdUAc0+MED6nBGZWFMTQKZR FDB+mTBAtJwMjU8DEkB6IyEXh/IwQJrOyuiDHg1AJADj7pBFMUAfXH1BkxsH QIF/IQ6gnzFAakrZwtvWAkC0CRUesPMxQPEm+7sMAQFAmjaFdcVOMkBzfMyw xiQBQJ9LQoUyqDJAwaKbDadzA0B6a7SFoPsyQDLJeRtwwwdACC6jzRNWM0Ck oq2SVJcOQGz7RgaIqjNAuSdn9yVpEkAyFFD6//8zQGkA4WtaRBNAliKOZw== "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj79qvvMzMwAQDd0wYnD 3dQ/1eEQGXq3AUDSUFjDa77lP8E85pxp6QRAIqE47Akn8D8yC3yF6SMKQNWb k3tZVPU/wtlabl9gEEC7wbiC/fH6P375omjzGxNAgEqXStgXAEDGC6/rjL8S QLtJtw/c7gJAEQ5mtkYcD0DziT6XnbgFQFTDNWA3RghA2iBupGZSCEDLBl8p 6cYDQFrNgu1ZJAtAKJslyBM/AUCJ0D+8VMYNQCWNhBeY4gBAWwqypoYtEEC0 c4qTfloCQD63Ng34kxFASgAe0bsqBkB4j482beISQBR0FxSR5gtAf/LaffdM FECuFiJXn4wRQAX2WabgsBVAa2R4VRJeE0DiJK2RzfwWQAZ1qj8s6hFAjN7y ms9kGEDM1CjIO88MQI3DDGfVtBlAcm+Fe7PPBkBbMxlR8CAbQIYITNsqpgJA p0NZHGqGHEA5YOZLNucAQEt/barn0x1A7Yc7FfAwAUC8RXRWej0fQPrmOk0b ogNAwpunYohHIEBgFIKKqx0IQOXkrgoD7SBACpB47GljDkBvc69BiKAhQNLx cbV/fhJApRcaWg9IIkCMnQ9qGD4TQEEBfgGh/SJAc3a3Gxu8EEAcu3sZ4q8j QE9ILKV1VwpAoorjEiVWJEDPuoK6eB4FQI+fRJtyCiVAL4CbVJXRAUAoyg8F wrIlQNG9D5XQzABAAMV038BXJkB8J5E/Cp0BQD4F00jKCidAIKrqAPigBEAo W5uT1bEnQCf6kDRWpAlAePZcbetmKEB0i8xCHGkQQHSniCgDEClAy30INLIK E0CvKE5UyrUpQIElKLNR3BJAUe8MD5xpKkBibI72CZ8PQJ/LNatvEStAuOGH S5oQCUBT7VfWTccrQDCfP8Qq8ANAR98Tctt5LEAylYC6K1MBQObmOe9qIC1A KgTZRDLZAEDrM1n7BNUtQESJldViaQJAnJbi6KB9LkAiHY368fsFQIzJBUfs Ii9AySs399KNC0DiQSI0QtYvQGfCiKqNWxFA8mdUAc0+MED6nBGZWFMTQKZR FDB+mTBAtJwMjU8DEkB6IyEXh/IwQJrOyuiDHg1AJADj7pBFMUAfXH1BkxsH QIF/IQ6gnzFAakrZwtvWAkC0CRUesPMxQPEm+7sMAQFAmjaFdcVOMkBzfMyw xiQBQJ9LQoUyqDJAwaKbDadzA0B6a7SFoPsyQDLJeRtwwwdACC6jzRNWM0Ck oq2SVJcOQGz7RgaIqjNAuSdn9yVpEkAyFFD6//8zQGkA4WtaRBNAliKOZw== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 2.100000001364041}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 2.100000001364041}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj79qvvMzMwAQDd0wYnD 3dQ/1eEQGXq3AUDSUFjDa77lP8E85pxp6QRAIqE47Akn8D8yC3yF6SMKQNWb k3tZVPU/wtlabl9gEEC7wbiC/fH6P375omjzGxNAgEqXStgXAEDGC6/rjL8S QLtJtw/c7gJAEQ5mtkYcD0DziT6XnbgFQFTDNWA3RghA2iBupGZSCEDLBl8p 6cYDQFrNgu1ZJAtAKJslyBM/AUCJ0D+8VMYNQCWNhBeY4gBAWwqypoYtEEC0 c4qTfloCQD63Ng34kxFASgAe0bsqBkB4j482beISQBR0FxSR5gtAf/LaffdM FECuFiJXn4wRQAX2WabgsBVAa2R4VRJeE0DiJK2RzfwWQAZ1qj8s6hFAjN7y ms9kGEDM1CjIO88MQI3DDGfVtBlAcm+Fe7PPBkBbMxlR8CAbQIYITNsqpgJA p0NZHGqGHEA5YOZLNucAQEt/barn0x1A7Yc7FfAwAUC8RXRWej0fQPrmOk0b ogNAwpunYohHIEBgFIKKqx0IQOXkrgoD7SBACpB47GljDkBvc69BiKAhQNLx cbV/fhJApRcaWg9IIkCMnQ9qGD4TQEEBfgGh/SJAc3a3Gxu8EEAcu3sZ4q8j QE9ILKV1VwpAoorjEiVWJEDPuoK6eB4FQI+fRJtyCiVAL4CbVJXRAUAoyg8F wrIlQNG9D5XQzABAAMV038BXJkB8J5E/Cp0BQD4F00jKCidAIKrqAPigBEAo W5uT1bEnQCf6kDRWpAlAePZcbetmKEB0i8xCHGkQQHSniCgDEClAy30INLIK E0CvKE5UyrUpQIElKLNR3BJAUe8MD5xpKkBibI72CZ8PQJ/LNatvEStAuOGH S5oQCUBT7VfWTccrQDCfP8Qq8ANAR98Tctt5LEAylYC6K1MBQObmOe9qIC1A KgTZRDLZAEDrM1n7BNUtQESJldViaQJAnJbi6KB9LkAiHY368fsFQIzJBUfs Ii9AySs399KNC0DiQSI0QtYvQGfCiKqNWxFA8mdUAc0+MED6nBGZWFMTQKZR FDB+mTBAtJwMjU8DEkB6IyEXh/IwQJrOyuiDHg1AJADj7pBFMUAfXH1BkxsH QIF/IQ6gnzFAakrZwtvWAkC0CRUesPMxQPEm+7sMAQFAmjaFdcVOMkBzfMyw xiQBQJ9LQoUyqDJAwaKbDadzA0B6a7SFoPsyQDLJeRtwwwdACC6jzRNWM0Ck oq2SVJcOQGz7RgaIqjNAuSdn9yVpEkAyFFD6//8zQGkA4WtaRBNAliKOZw== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 2.100000001364041}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 2.100000001364041}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 2.100000001364036}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "20.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj79qvvMzMwAQDd0wYnD 3dQ/1eEQGXq3AUDSUFjDa77lP8E85pxp6QRAIqE47Akn8D8yC3yF6SMKQNWb k3tZVPU/wtlabl9gEEC7wbiC/fH6P375omjzGxNAgEqXStgXAEDGC6/rjL8S QLtJtw/c7gJAEQ5mtkYcD0DziT6XnbgFQFTDNWA3RghA2iBupGZSCEDLBl8p 6cYDQFrNgu1ZJAtAKJslyBM/AUCJ0D+8VMYNQCWNhBeY4gBAWwqypoYtEEC0 c4qTfloCQD63Ng34kxFASgAe0bsqBkB4j482beISQBR0FxSR5gtAf/LaffdM FECuFiJXn4wRQAX2WabgsBVAa2R4VRJeE0DiJK2RzfwWQAZ1qj8s6hFAjN7y ms9kGEDM1CjIO88MQI3DDGfVtBlAcm+Fe7PPBkBbMxlR8CAbQIYITNsqpgJA p0NZHGqGHEA5YOZLNucAQEt/barn0x1A7Yc7FfAwAUC8RXRWej0fQPrmOk0b ogNAwpunYohHIEBgFIKKqx0IQOXkrgoD7SBACpB47GljDkBvc69BiKAhQNLx cbV/fhJApRcaWg9IIkCMnQ9qGD4TQEEBfgGh/SJAc3a3Gxu8EEAcu3sZ4q8j QE9ILKV1VwpAoorjEiVWJEDPuoK6eB4FQI+fRJtyCiVAL4CbVJXRAUAoyg8F wrIlQNG9D5XQzABAAMV038BXJkB8J5E/Cp0BQD4F00jKCidAIKrqAPigBEAo W5uT1bEnQCf6kDRWpAlAePZcbetmKEB0i8xCHGkQQHSniCgDEClAy30INLIK E0CvKE5UyrUpQIElKLNR3BJAUe8MD5xpKkBibI72CZ8PQJ/LNatvEStAuOGH S5oQCUBT7VfWTccrQDCfP8Qq8ANAR98Tctt5LEAylYC6K1MBQObmOe9qIC1A KgTZRDLZAEDrM1n7BNUtQESJldViaQJAnJbi6KB9LkAiHY368fsFQIzJBUfs Ii9AySs399KNC0DiQSI0QtYvQGfCiKqNWxFA8mdUAc0+MED6nBGZWFMTQKZR FDB+mTBAtJwMjU8DEkB6IyEXh/IwQJrOyuiDHg1AJADj7pBFMUAfXH1BkxsH QIF/IQ6gnzFAakrZwtvWAkC0CRUesPMxQPEm+7sMAQFAmjaFdcVOMkBzfMyw xiQBQJ9LQoUyqDJAwaKbDadzA0B6a7SFoPsyQDLJeRtwwwdACC6jzRNWM0Ck oq2SVJcOQGz7RgaIqjNAuSdn9yVpEkAyFFD6//8zQGkA4WtaRBNAliKOZw== "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj79qvvMzMwAQDd0wYnD 3dQ/1eEQGXq3AUDSUFjDa77lP8E85pxp6QRAIqE47Akn8D8yC3yF6SMKQNWb k3tZVPU/wtlabl9gEEC7wbiC/fH6P375omjzGxNAgEqXStgXAEDGC6/rjL8S QLtJtw/c7gJAEQ5mtkYcD0DziT6XnbgFQFTDNWA3RghA2iBupGZSCEDLBl8p 6cYDQFrNgu1ZJAtAKJslyBM/AUCJ0D+8VMYNQCWNhBeY4gBAWwqypoYtEEC0 c4qTfloCQD63Ng34kxFASgAe0bsqBkB4j482beISQBR0FxSR5gtAf/LaffdM FECuFiJXn4wRQAX2WabgsBVAa2R4VRJeE0DiJK2RzfwWQAZ1qj8s6hFAjN7y ms9kGEDM1CjIO88MQI3DDGfVtBlAcm+Fe7PPBkBbMxlR8CAbQIYITNsqpgJA p0NZHGqGHEA5YOZLNucAQEt/barn0x1A7Yc7FfAwAUC8RXRWej0fQPrmOk0b ogNAwpunYohHIEBgFIKKqx0IQOXkrgoD7SBACpB47GljDkBvc69BiKAhQNLx cbV/fhJApRcaWg9IIkCMnQ9qGD4TQEEBfgGh/SJAc3a3Gxu8EEAcu3sZ4q8j QE9ILKV1VwpAoorjEiVWJEDPuoK6eB4FQI+fRJtyCiVAL4CbVJXRAUAoyg8F wrIlQNG9D5XQzABAAMV038BXJkB8J5E/Cp0BQD4F00jKCidAIKrqAPigBEAo W5uT1bEnQCf6kDRWpAlAePZcbetmKEB0i8xCHGkQQHSniCgDEClAy30INLIK E0CvKE5UyrUpQIElKLNR3BJAUe8MD5xpKkBibI72CZ8PQJ/LNatvEStAuOGH S5oQCUBT7VfWTccrQDCfP8Qq8ANAR98Tctt5LEAylYC6K1MBQObmOe9qIC1A KgTZRDLZAEDrM1n7BNUtQESJldViaQJAnJbi6KB9LkAiHY368fsFQIzJBUfs Ii9AySs399KNC0DiQSI0QtYvQGfCiKqNWxFA8mdUAc0+MED6nBGZWFMTQKZR FDB+mTBAtJwMjU8DEkB6IyEXh/IwQJrOyuiDHg1AJADj7pBFMUAfXH1BkxsH QIF/IQ6gnzFAakrZwtvWAkC0CRUesPMxQPEm+7sMAQFAmjaFdcVOMkBzfMyw xiQBQJ9LQoUyqDJAwaKbDadzA0B6a7SFoPsyQDLJeRtwwwdACC6jzRNWM0Ck oq2SVJcOQGz7RgaIqjNAuSdn9yVpEkAyFFD6//8zQGkA4WtaRBNAliKOZw== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 2.100000001364041}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 2.100000001364041}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj79qvvMzMwAQDd0wYnD 3dQ/1eEQGXq3AUDSUFjDa77lP8E85pxp6QRAIqE47Akn8D8yC3yF6SMKQNWb k3tZVPU/wtlabl9gEEC7wbiC/fH6P375omjzGxNAgEqXStgXAEDGC6/rjL8S QLtJtw/c7gJAEQ5mtkYcD0DziT6XnbgFQFTDNWA3RghA2iBupGZSCEDLBl8p 6cYDQFrNgu1ZJAtAKJslyBM/AUCJ0D+8VMYNQCWNhBeY4gBAWwqypoYtEEC0 c4qTfloCQD63Ng34kxFASgAe0bsqBkB4j482beISQBR0FxSR5gtAf/LaffdM FECuFiJXn4wRQAX2WabgsBVAa2R4VRJeE0DiJK2RzfwWQAZ1qj8s6hFAjN7y ms9kGEDM1CjIO88MQI3DDGfVtBlAcm+Fe7PPBkBbMxlR8CAbQIYITNsqpgJA p0NZHGqGHEA5YOZLNucAQEt/barn0x1A7Yc7FfAwAUC8RXRWej0fQPrmOk0b ogNAwpunYohHIEBgFIKKqx0IQOXkrgoD7SBACpB47GljDkBvc69BiKAhQNLx cbV/fhJApRcaWg9IIkCMnQ9qGD4TQEEBfgGh/SJAc3a3Gxu8EEAcu3sZ4q8j QE9ILKV1VwpAoorjEiVWJEDPuoK6eB4FQI+fRJtyCiVAL4CbVJXRAUAoyg8F wrIlQNG9D5XQzABAAMV038BXJkB8J5E/Cp0BQD4F00jKCidAIKrqAPigBEAo W5uT1bEnQCf6kDRWpAlAePZcbetmKEB0i8xCHGkQQHSniCgDEClAy30INLIK E0CvKE5UyrUpQIElKLNR3BJAUe8MD5xpKkBibI72CZ8PQJ/LNatvEStAuOGH S5oQCUBT7VfWTccrQDCfP8Qq8ANAR98Tctt5LEAylYC6K1MBQObmOe9qIC1A KgTZRDLZAEDrM1n7BNUtQESJldViaQJAnJbi6KB9LkAiHY368fsFQIzJBUfs Ii9AySs399KNC0DiQSI0QtYvQGfCiKqNWxFA8mdUAc0+MED6nBGZWFMTQKZR FDB+mTBAtJwMjU8DEkB6IyEXh/IwQJrOyuiDHg1AJADj7pBFMUAfXH1BkxsH QIF/IQ6gnzFAakrZwtvWAkC0CRUesPMxQPEm+7sMAQFAmjaFdcVOMkBzfMyw xiQBQJ9LQoUyqDJAwaKbDadzA0B6a7SFoPsyQDLJeRtwwwdACC6jzRNWM0Ck oq2SVJcOQGz7RgaIqjNAuSdn9yVpEkAyFFD6//8zQGkA4WtaRBNAliKOZw== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 2.100000001364041}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 2.100000001364041}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 2.100000001364036}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 20.}, {2.100000001364036, 4.841866813157234}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "20.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["3", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{0., 20.}}, { 5, 7, 0, {101}, {4}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJxF0E1Kw1AYBdBURRRFqlatWrWt/f9N8jpP1uAShOrQ9eiOBF2AY0fOBEEQ HGjMAS+EkO+eLzxe6/ruarkSRVHl91lG/3m4L/KYle+XbBGKvPp+y0r1bv6R 3d4U+dR/Zc9PRb65KC/nlbz0q3nZr+Xl3npesg1uk9vitrkdrmpe5Xf1e/b2 uRpX4w64Q+6Iq3N17pg74U65Btfgzrhz7oJrmjf5Zv5Xh5a9Ftfm2lzbfy65 S67DdbgO1+W6XI/rcT2uz/W5ATfgBtyQG3IjbsSNuDE35ibchJtwU27KzbgZ N+Pm3JyL3VfMx/rYXswlXMIlXMIlXMqlXMqlXMoF5wlc4AIXuEX+A2L5Hv4= "], {Developer`PackedArrayForm, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101}, CompressedData[" 1:eJwBNQPK/CFib1JlAQAAAGUAAADNzMzMzMwAQLSqkuyOJAFAGOlVPxIwAkB8 6/blo/oDQO42iWgUkQZAWIkrxH/1CUCENHnj1fgNQIO+l8eMChFArzau8VCw EkCL1eLDMF8TQISef1Mp0RJAfkwn0zs/EUA2N/nWamcOQAq9q4YTWgpAhE0v kfbjBkBnIVLkgzcEQG+Z/N2BVwJAqNT7L+I3AUAhRuigfM0AQPNO8Ya9EgFA 1JJ5qlwKAkBKoS7op74DQHHz7+wVPwZA+8C06TuNCUA2hb2DwoINQDHbC5Xp 1BBAk6/2XtyMEkAn/pdmY1sTQJVeT8157hJAIgCBf1RyEUA8woEZ0doOQPPI fkdGwwpAJm7PHk45B0DbRALak3YEQHo0L56HgQJANru+uwxOAUCg5kqLDtAA QK2AxcheAgFAsLe8GznnAUAbF7O37IcDQCgn6wMA8gVALgFCUNopCUAc3phY 5RANQN22/06KnRBALgG74nhmEkByeOdctlMTQAVO8jtGCRNAmdZzulOkEUDZ RcUEd00PQFfG0g0jLgtADSY+fg2RB0D9bhv+SbgEQCPBhy13rQJAGA0q2Mtl AUDpCtfqXNUAQPoo1K4t9QBA3koaXhvGAUAH4FwezlADQAogpcOApAVAvFwg 6S/ICEAWvOMOMKAMQELXlq1wZhBAHitEvcc9EkAllJj9AkkTQO5jhSvTHxNA WjfY3yvUEUDnZDcAUcAPQHOiqsOymgtAfJkrNhnrB0DEP+W9//sEQLz1ouLT 2wJAsY9fcUGAAUARYvzCMtwAQMWVYoHF6ABApwld1+KmAUBZx1GXah4DQHWQ e7VHXAVAlAfHivBoCEC1Kge+fjAMQPez5PVYLRBA0LEOi3QSEkClFl36XjoT QLO368ksNBNA4uP4bnACEkCxXbIr5hgQQHS0HUCKCAxAZMysdGpHCEDpXod0 jkIFQImsHho5DANAAhEz8iCcAUBnusqMouUAQJZrBKrH3wBArp7/7F6JAUBV ewFMsuoCQAfbeB+gEwVAX1NdsQ4MCEBoOUSKnsILQChkX5zj6w9ApyhA62Ll EUBfpgCj+CcTQI7mMlpaRBNAuWRTFg== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{3.929433132805395*^9, 3.929434294172739*^9}, CellLabel->"Out[42]=",ExpressionUUID->"3c30eb92-2f5b-413a-8653-9bb13eab37e3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\[IndentingNewLine]", RowBox[{"(*", RowBox[{ "Erzeugen", " ", "von", " ", "interpolation", " ", "function", " ", "f\[UDoubleDot]r", " ", "v", RowBox[{"(", "t", ")"}]}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"g", "=", RowBox[{"Interpolation", "[", "vt", "]"}]}], "\[IndentingNewLine]"}]}]], "Input", CellChangeTimes->{{3.929431486968625*^9, 3.929431495061575*^9}, { 3.9295253027370462`*^9, 3.929525307076117*^9}},ExpressionUUID->"6b81c177-f52d-4269-a75b-\ 5e510471eea1"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj4AAOiCqiSoPjd0wYnD 3dQ/zJZ+5zTA5j/SUFjDa77lP1c7GgwyEPk/IqE47Akn8D/hBUHEg/MCQNWb k3tZVPU/COzsFOVyBEC7wbiC/fH6P3ZJ4C1Fau8/gEqXStgXAEBu21SF/vr3 v7tJtw/c7gJAfbcUbDAABcDziT6XnbgFQBWzFxYpFAHA2iBupGZSCEByuFrs Exb1v1rNgu1ZJAtAGqBJEiyT37+J0D+8VMYNQIXWdXqqmcs/WwqypoYtEEAe 5rOpYdjtPz63Ng34kxFA1rpRLNXl/D94j482beISQNYHt/o4LQRAf/LaffdM FEC2JAuinRsCQAX2WabgsBVAMB29Ax+zsj/iJK2RzfwWQCK9mwqkyQDAjN7y ms9kGEAI2r1qrpkEwI3DDGfVtBlAuH9Tusab/r9bMxlR8CAbQNAJdrHYYPC/ p0NZHGqGHECOYgU85qjOv0t/barn0x1Asy/GhOyd3T+8RXRWej0fQHhnCBhg h/Q/wpunYohHIECuVO4SI+YAQOXkrgoD7SBAfRXl9pf9BEBvc69BiKAhQKZY i/kvr/s/pRcaWg9IIkB8719R8w/mv0EBfgGh/SJA4f2jkmQCBMAcu3sZ4q8j QA1nbfVSEQPAoorjEiVWJEBsfO0WY7b5v4+fRJtyCiVAKoQyAG4R6L8oyg8F wrIlQFCrhf0Qtp+/AMV038BXJkBG28OUilzlPz4F00jKCidAtVr3M3oj+D8o W5uT1bEnQI059GrvegJAePZcbetmKEBttO/sqX4EQHSniCgDEClAqApmdpqR 8T+vKE5UyrUpQHpOha/yqPW/Ue8MD5xpKkC2CEUGPu4EwJ/LNatvEStAzXpV 0yTrAcBT7VfWTccrQLHT3HuZr/W/R98Tctt5LEBM0oW1tiThv+bmOe9qIC1A dx30+oZQxT/rM1n7BNUtQJCXWHfPg+4/nJbi6KB9LkBV8azGNFP8P4zJBUfs Ii9AQvgUlMfxA0DiQSI0QtYvQFKdWtIisAJA8mdUAc0+MED0H4kLMxHaP6ZR FDB+mTBA6+nnJEJ6AMB6IyEXh/IwQE5Nq8DDtATAJADj7pBFMUAq78XySGH/ v4F/IQ6gnzFAMqon3OxC8b+0CRUesPMxQFJp7lrjOdW/mjaFdcVOMkDurQfZ EoLbP59LQoUyqDJAKsEzmyPe8z96a7SFoPsyQNS7mP8jgABACC6jzRNWM0Dy J9boyQgFQGz7RgaIqjNA2qZHOgWK/D8yFFD6//8zQKMdtsLhB+W/RhjD+w== "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj4AAOiCqiSoPjd0wYnD 3dQ/zJZ+5zTA5j/SUFjDa77lP1c7GgwyEPk/IqE47Akn8D/hBUHEg/MCQNWb k3tZVPU/COzsFOVyBEC7wbiC/fH6P3ZJ4C1Fau8/gEqXStgXAEBu21SF/vr3 v7tJtw/c7gJAfbcUbDAABcDziT6XnbgFQBWzFxYpFAHA2iBupGZSCEByuFrs Exb1v1rNgu1ZJAtAGqBJEiyT37+J0D+8VMYNQIXWdXqqmcs/WwqypoYtEEAe 5rOpYdjtPz63Ng34kxFA1rpRLNXl/D94j482beISQNYHt/o4LQRAf/LaffdM FEC2JAuinRsCQAX2WabgsBVAMB29Ax+zsj/iJK2RzfwWQCK9mwqkyQDAjN7y ms9kGEAI2r1qrpkEwI3DDGfVtBlAuH9Tusab/r9bMxlR8CAbQNAJdrHYYPC/ p0NZHGqGHECOYgU85qjOv0t/barn0x1Asy/GhOyd3T+8RXRWej0fQHhnCBhg h/Q/wpunYohHIECuVO4SI+YAQOXkrgoD7SBAfRXl9pf9BEBvc69BiKAhQKZY i/kvr/s/pRcaWg9IIkB8719R8w/mv0EBfgGh/SJA4f2jkmQCBMAcu3sZ4q8j QA1nbfVSEQPAoorjEiVWJEBsfO0WY7b5v4+fRJtyCiVAKoQyAG4R6L8oyg8F wrIlQFCrhf0Qtp+/AMV038BXJkBG28OUilzlPz4F00jKCidAtVr3M3oj+D8o W5uT1bEnQI059GrvegJAePZcbetmKEBttO/sqX4EQHSniCgDEClAqApmdpqR 8T+vKE5UyrUpQHpOha/yqPW/Ue8MD5xpKkC2CEUGPu4EwJ/LNatvEStAzXpV 0yTrAcBT7VfWTccrQLHT3HuZr/W/R98Tctt5LEBM0oW1tiThv+bmOe9qIC1A dx30+oZQxT/rM1n7BNUtQJCXWHfPg+4/nJbi6KB9LkBV8azGNFP8P4zJBUfs Ii9AQvgUlMfxA0DiQSI0QtYvQFKdWtIisAJA8mdUAc0+MED0H4kLMxHaP6ZR FDB+mTBA6+nnJEJ6AMB6IyEXh/IwQE5Nq8DDtATAJADj7pBFMUAq78XySGH/ v4F/IQ6gnzFAMqon3OxC8b+0CRUesPMxQFJp7lrjOdW/mjaFdcVOMkDurQfZ EoLbP59LQoUyqDJAKsEzmyPe8z96a7SFoPsyQNS7mP8jgABACC6jzRNWM0Dy J9boyQgFQGz7RgaIqjNA2qZHOgWK/D8yFFD6//8zQKMdtsLhB+W/RhjD+w== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj4AAOiCqiSoPjd0wYnD 3dQ/zJZ+5zTA5j/SUFjDa77lP1c7GgwyEPk/IqE47Akn8D/hBUHEg/MCQNWb k3tZVPU/COzsFOVyBEC7wbiC/fH6P3ZJ4C1Fau8/gEqXStgXAEBu21SF/vr3 v7tJtw/c7gJAfbcUbDAABcDziT6XnbgFQBWzFxYpFAHA2iBupGZSCEByuFrs Exb1v1rNgu1ZJAtAGqBJEiyT37+J0D+8VMYNQIXWdXqqmcs/WwqypoYtEEAe 5rOpYdjtPz63Ng34kxFA1rpRLNXl/D94j482beISQNYHt/o4LQRAf/LaffdM FEC2JAuinRsCQAX2WabgsBVAMB29Ax+zsj/iJK2RzfwWQCK9mwqkyQDAjN7y ms9kGEAI2r1qrpkEwI3DDGfVtBlAuH9Tusab/r9bMxlR8CAbQNAJdrHYYPC/ p0NZHGqGHECOYgU85qjOv0t/barn0x1Asy/GhOyd3T+8RXRWej0fQHhnCBhg h/Q/wpunYohHIECuVO4SI+YAQOXkrgoD7SBAfRXl9pf9BEBvc69BiKAhQKZY i/kvr/s/pRcaWg9IIkB8719R8w/mv0EBfgGh/SJA4f2jkmQCBMAcu3sZ4q8j QA1nbfVSEQPAoorjEiVWJEBsfO0WY7b5v4+fRJtyCiVAKoQyAG4R6L8oyg8F wrIlQFCrhf0Qtp+/AMV038BXJkBG28OUilzlPz4F00jKCidAtVr3M3oj+D8o W5uT1bEnQI059GrvegJAePZcbetmKEBttO/sqX4EQHSniCgDEClAqApmdpqR 8T+vKE5UyrUpQHpOha/yqPW/Ue8MD5xpKkC2CEUGPu4EwJ/LNatvEStAzXpV 0yTrAcBT7VfWTccrQLHT3HuZr/W/R98Tctt5LEBM0oW1tiThv+bmOe9qIC1A dx30+oZQxT/rM1n7BNUtQJCXWHfPg+4/nJbi6KB9LkBV8azGNFP8P4zJBUfs Ii9AQvgUlMfxA0DiQSI0QtYvQFKdWtIisAJA8mdUAc0+MED0H4kLMxHaP6ZR FDB+mTBA6+nnJEJ6AMB6IyEXh/IwQE5Nq8DDtATAJADj7pBFMUAq78XySGH/ v4F/IQ6gnzFAMqon3OxC8b+0CRUesPMxQFJp7lrjOdW/mjaFdcVOMkDurQfZ EoLbP59LQoUyqDJAKsEzmyPe8z96a7SFoPsyQNS7mP8jgABACC6jzRNWM0Dy J9boyQgFQGz7RgaIqjNA2qZHOgWK/D8yFFD6//8zQKMdtsLhB+W/RhjD+w== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "20.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj4AAOiCqiSoPjd0wYnD 3dQ/zJZ+5zTA5j/SUFjDa77lP1c7GgwyEPk/IqE47Akn8D/hBUHEg/MCQNWb k3tZVPU/COzsFOVyBEC7wbiC/fH6P3ZJ4C1Fau8/gEqXStgXAEBu21SF/vr3 v7tJtw/c7gJAfbcUbDAABcDziT6XnbgFQBWzFxYpFAHA2iBupGZSCEByuFrs Exb1v1rNgu1ZJAtAGqBJEiyT37+J0D+8VMYNQIXWdXqqmcs/WwqypoYtEEAe 5rOpYdjtPz63Ng34kxFA1rpRLNXl/D94j482beISQNYHt/o4LQRAf/LaffdM FEC2JAuinRsCQAX2WabgsBVAMB29Ax+zsj/iJK2RzfwWQCK9mwqkyQDAjN7y ms9kGEAI2r1qrpkEwI3DDGfVtBlAuH9Tusab/r9bMxlR8CAbQNAJdrHYYPC/ p0NZHGqGHECOYgU85qjOv0t/barn0x1Asy/GhOyd3T+8RXRWej0fQHhnCBhg h/Q/wpunYohHIECuVO4SI+YAQOXkrgoD7SBAfRXl9pf9BEBvc69BiKAhQKZY i/kvr/s/pRcaWg9IIkB8719R8w/mv0EBfgGh/SJA4f2jkmQCBMAcu3sZ4q8j QA1nbfVSEQPAoorjEiVWJEBsfO0WY7b5v4+fRJtyCiVAKoQyAG4R6L8oyg8F wrIlQFCrhf0Qtp+/AMV038BXJkBG28OUilzlPz4F00jKCidAtVr3M3oj+D8o W5uT1bEnQI059GrvegJAePZcbetmKEBttO/sqX4EQHSniCgDEClAqApmdpqR 8T+vKE5UyrUpQHpOha/yqPW/Ue8MD5xpKkC2CEUGPu4EwJ/LNatvEStAzXpV 0yTrAcBT7VfWTccrQLHT3HuZr/W/R98Tctt5LEBM0oW1tiThv+bmOe9qIC1A dx30+oZQxT/rM1n7BNUtQJCXWHfPg+4/nJbi6KB9LkBV8azGNFP8P4zJBUfs Ii9AQvgUlMfxA0DiQSI0QtYvQFKdWtIisAJA8mdUAc0+MED0H4kLMxHaP6ZR FDB+mTBA6+nnJEJ6AMB6IyEXh/IwQE5Nq8DDtATAJADj7pBFMUAq78XySGH/ v4F/IQ6gnzFAMqon3OxC8b+0CRUesPMxQFJp7lrjOdW/mjaFdcVOMkDurQfZ EoLbP59LQoUyqDJAKsEzmyPe8z96a7SFoPsyQNS7mP8jgABACC6jzRNWM0Dy J9boyQgFQGz7RgaIqjNA2qZHOgWK/D8yFFD6//8zQKMdtsLhB+W/RhjD+w== "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction[ "DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj4AAOiCqiSoPjd0wYnD 3dQ/zJZ+5zTA5j/SUFjDa77lP1c7GgwyEPk/IqE47Akn8D/hBUHEg/MCQNWb k3tZVPU/COzsFOVyBEC7wbiC/fH6P3ZJ4C1Fau8/gEqXStgXAEBu21SF/vr3 v7tJtw/c7gJAfbcUbDAABcDziT6XnbgFQBWzFxYpFAHA2iBupGZSCEByuFrs Exb1v1rNgu1ZJAtAGqBJEiyT37+J0D+8VMYNQIXWdXqqmcs/WwqypoYtEEAe 5rOpYdjtPz63Ng34kxFA1rpRLNXl/D94j482beISQNYHt/o4LQRAf/LaffdM FEC2JAuinRsCQAX2WabgsBVAMB29Ax+zsj/iJK2RzfwWQCK9mwqkyQDAjN7y ms9kGEAI2r1qrpkEwI3DDGfVtBlAuH9Tusab/r9bMxlR8CAbQNAJdrHYYPC/ p0NZHGqGHECOYgU85qjOv0t/barn0x1Asy/GhOyd3T+8RXRWej0fQHhnCBhg h/Q/wpunYohHIECuVO4SI+YAQOXkrgoD7SBAfRXl9pf9BEBvc69BiKAhQKZY i/kvr/s/pRcaWg9IIkB8719R8w/mv0EBfgGh/SJA4f2jkmQCBMAcu3sZ4q8j QA1nbfVSEQPAoorjEiVWJEBsfO0WY7b5v4+fRJtyCiVAKoQyAG4R6L8oyg8F wrIlQFCrhf0Qtp+/AMV038BXJkBG28OUilzlPz4F00jKCidAtVr3M3oj+D8o W5uT1bEnQI059GrvegJAePZcbetmKEBttO/sqX4EQHSniCgDEClAqApmdpqR 8T+vKE5UyrUpQHpOha/yqPW/Ue8MD5xpKkC2CEUGPu4EwJ/LNatvEStAzXpV 0yTrAcBT7VfWTccrQLHT3HuZr/W/R98Tctt5LEBM0oW1tiThv+bmOe9qIC1A dx30+oZQxT/rM1n7BNUtQJCXWHfPg+4/nJbi6KB9LkBV8azGNFP8P4zJBUfs Ii9AQvgUlMfxA0DiQSI0QtYvQFKdWtIisAJA8mdUAc0+MED0H4kLMxHaP6ZR FDB+mTBA6+nnJEJ6AMB6IyEXh/IwQE5Nq8DDtATAJADj7pBFMUAq78XySGH/ v4F/IQ6gnzFAMqon3OxC8b+0CRUesPMxQFJp7lrjOdW/mjaFdcVOMkDurQfZ EoLbP59LQoUyqDJAKsEzmyPe8z96a7SFoPsyQNS7mP8jgABACC6jzRNWM0Dy J9boyQgFQGz7RgaIqjNA2qZHOgWK/D8yFFD6//8zQKMdtsLhB+W/RhjD+w== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], Line[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAStFeOa+/lj4AAOiCqiSoPjd0wYnD 3dQ/zJZ+5zTA5j/SUFjDa77lP1c7GgwyEPk/IqE47Akn8D/hBUHEg/MCQNWb k3tZVPU/COzsFOVyBEC7wbiC/fH6P3ZJ4C1Fau8/gEqXStgXAEBu21SF/vr3 v7tJtw/c7gJAfbcUbDAABcDziT6XnbgFQBWzFxYpFAHA2iBupGZSCEByuFrs Exb1v1rNgu1ZJAtAGqBJEiyT37+J0D+8VMYNQIXWdXqqmcs/WwqypoYtEEAe 5rOpYdjtPz63Ng34kxFA1rpRLNXl/D94j482beISQNYHt/o4LQRAf/LaffdM FEC2JAuinRsCQAX2WabgsBVAMB29Ax+zsj/iJK2RzfwWQCK9mwqkyQDAjN7y ms9kGEAI2r1qrpkEwI3DDGfVtBlAuH9Tusab/r9bMxlR8CAbQNAJdrHYYPC/ p0NZHGqGHECOYgU85qjOv0t/barn0x1Asy/GhOyd3T+8RXRWej0fQHhnCBhg h/Q/wpunYohHIECuVO4SI+YAQOXkrgoD7SBAfRXl9pf9BEBvc69BiKAhQKZY i/kvr/s/pRcaWg9IIkB8719R8w/mv0EBfgGh/SJA4f2jkmQCBMAcu3sZ4q8j QA1nbfVSEQPAoorjEiVWJEBsfO0WY7b5v4+fRJtyCiVAKoQyAG4R6L8oyg8F wrIlQFCrhf0Qtp+/AMV038BXJkBG28OUilzlPz4F00jKCidAtVr3M3oj+D8o W5uT1bEnQI059GrvegJAePZcbetmKEBttO/sqX4EQHSniCgDEClAqApmdpqR 8T+vKE5UyrUpQHpOha/yqPW/Ue8MD5xpKkC2CEUGPu4EwJ/LNatvEStAzXpV 0yTrAcBT7VfWTccrQLHT3HuZr/W/R98Tctt5LEBM0oW1tiThv+bmOe9qIC1A dx30+oZQxT/rM1n7BNUtQJCXWHfPg+4/nJbi6KB9LkBV8azGNFP8P4zJBUfs Ii9AQvgUlMfxA0DiQSI0QtYvQFKdWtIisAJA8mdUAc0+MED0H4kLMxHaP6ZR FDB+mTBA6+nnJEJ6AMB6IyEXh/IwQE5Nq8DDtATAJADj7pBFMUAq78XySGH/ v4F/IQ6gnzFAMqon3OxC8b+0CRUesPMxQFJp7lrjOdW/mjaFdcVOMkDurQfZ EoLbP59LQoUyqDJAKsEzmyPe8z96a7SFoPsyQNS7mP8jgABACC6jzRNWM0Dy J9boyQgFQGz7RgaIqjNA2qZHOgWK/D8yFFD6//8zQKMdtsLhB+W/RhjD+w== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, "Frame" -> {{True, True}, {True, True}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360}, "Axes" -> {False, False}, "LabelStyle" -> {}, "AspectRatio" -> 1, "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0., 20.}, {-2.6250923580000163`, 2.6292913618426548`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "20.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["3", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{0., 20.}}, { 5, 7, 0, {101}, {4}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJxF0E1Kw1AYBdBURRRFqlatWrWt/f9N8jpP1uAShOrQ9eiOBF2AY0fOBEEQ HGjMAS+EkO+eLzxe6/ruarkSRVHl91lG/3m4L/KYle+XbBGKvPp+y0r1bv6R 3d4U+dR/Zc9PRb65KC/nlbz0q3nZr+Xl3npesg1uk9vitrkdrmpe5Xf1e/b2 uRpX4w64Q+6Iq3N17pg74U65Btfgzrhz7oJrmjf5Zv5Xh5a9Ftfm2lzbfy65 S67DdbgO1+W6XI/rcT2uz/W5ATfgBtyQG3IjbsSNuDE35ibchJtwU27KzbgZ N+Pm3JyL3VfMx/rYXswlXMIlXMIlXMqlXMqlXMoF5wlc4AIXuEX+A2L5Hv4= "], {Developer`PackedArrayForm, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101}, CompressedData[" 1:eJwBNQPK/CFib1JlAQAAAGUAAAAAAAAAAAAAAMjD4T67ids/0M0j+L0u7D/Y IFhXxNP1P8geAI9k9v0/0tr/dinMAkAiRmb2huYEQN04eHrGcQNAmH2XXlnw +D/wxz8rpbq2P80w7OU20/a/hF8BQugGA8B1eVdrUAMFwPOA1zYvEQPALUjJ 4ivL/r+6CgOQxK72v3sYUVD40O2/oHPFBHCM3r/4OfKIl9Smv2ypAIm9kdg/ OhaZOSCG6j+2qgezzfD0P/7jxZ7DHv0/vCG1XmhgAkAVBk2YcNwEQN5EwAdE 4QNAks8cftQK+z/QvmUGQTnQP1GIODZudfS//Il8Vd9+AsAEt2zogwYFwJ4Z 5Dk0YwPAblP98bWo/7+ui0mZtoj3v1SuXpZcZe+/KtU5gsjQ4L9o4NKJxIC3 vyjbdiNeqNU/6oX7YR8N6T/QSY0B5yD0P3zCVvLbM/w/phP+ksf+AUCYxifx xrIEQOgJNuXiOARAyKY4Ai3u/D/kM65E6nnbP/Igxo72IvK/Rp0L8lPjAcBJ 510nEgIFwADzB3JOsAPAP4z4BP0+AMDfT4UwAGj4v7EzppYNhvC/yXwqiXlP 4r9ElQE3mGjBv7YgfaMAqtI/1eAZBUZs5z8DJuSz5DzzP0pLTiwyXfs/eRH5 OmehAUD5F/FyuoYEQJ5m0nv1gQRAMUau0Um5/j98lHVlb/LiP0E2cu9AP++/ 2Ya5Rrs8AcCBpW+xx+YEwGP6IPHK+QPAMqncho6qAMBsCXCk6EX5vzMd+mAg U/G/lJIXIKfX47/ks1KaoYXHvxIEdE6kbs8/Jz5Fd3Xz5T+oee1lT3TyPyzf TcIVcvo/QE8bWoM4AUDkaECvCk0EQIij9rm0tgRAEluxF0s3AEDgbwSDtF/o P8Ju2nqRROq/+ym7XVN+AMBfhk9is8cEwH8vzpfqNgTABzIZkhISAcDeJZmJ iyX6v5QxGjL5KvK/7Nr+ju9Z5b+pJJebnCbNv+h8l0/Yesk/uAtWPlY85D/j BuwRr5nxPwwnPSD0qPk/NvJi9cXSAEDNFK9xkRoEQBEkrThn3wRAAKyz6Dzt AECpPZZYKo7tP5/w0rPnB+W/+kWVQA== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.929431495508883*^9, 3.929431682409254*^9, {3.929431765124282*^9, 3.9294317926990767`*^9}, {3.929431897768406*^9, 3.9294319212434883`*^9}, 3.9294320639781637`*^9, 3.9294321409554*^9, 3.929432814076153*^9, 3.9294331347175837`*^9, 3.929434294205159*^9}, CellLabel->"Out[43]=",ExpressionUUID->"dccbc3e0-ffe1-44e5-a48e-d1539478284c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"f", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"PlotRange", "->", "All"}]}], "]"}], ",", RowBox[{"ListPlot", "[", RowBox[{"xt", ",", RowBox[{"PlotStyle", "->", "Red"}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.9293768536939583`*^9, 3.9293768543529654`*^9}, { 3.929377144168264*^9, 3.929377182313635*^9}, {3.9293772616952467`*^9, 3.929377277611689*^9}, {3.929379282286049*^9, 3.929379284238469*^9}, { 3.929379556535219*^9, 3.929379557837493*^9}, {3.9293795966707077`*^9, 3.9293795992936487`*^9}, {3.9293824355707684`*^9, 3.929382435833147*^9}, { 3.929382770712778*^9, 3.929382817494348*^9}, {3.929382924187587*^9, 3.929382981685358*^9}, {3.929431770314336*^9, 3.929431771512652*^9}, { 3.929432070273435*^9, 3.929432071469344*^9}, {3.9294327157032633`*^9, 3.929432717560128*^9}}, CellLabel->"In[44]:=",ExpressionUUID->"6bfb04ef-a863-4d78-8496-b2af2615c791"], Cell[BoxData[ GraphicsBox[{ InterpretationBox[{ TagBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2], Opacity[1.], LineBox[CompressedData[" 1:eJwU23k4lF8bB/B5ZuzrmEHZGQZjL4qi5puKSGRrlUIIpdBmSYuilCUJkbX8 0qaNiiRbEVGyl1KIEilbsr7P+5frvuaZs9znPOfcHy4q7vsdPKkUCkWFl0L5 /8/0cHe+RbvTVn405a1/84aCqiZlm83KwVyO55zgLzKef1Uaoax8jrtipGDQ uJ4CsYTH94XaE7iOryKjb5FxelmMEq/yFW5uVePk2gYKdIZ3x857Z3L3vRu1 EXpLwSexjLmZthxu/xvrq3/JWO0/waVT07lcm3SjGdFGCvauOLTvr9JNbpua +KkN7yl41Pzl+tjqO9xKC5PVj5somPKz6fzjfY9r3SfqvK6Fgiyi89zftQ+4 //UNvaG1UbCm/iJ7ou0hl6m9tOx7OwXfUyzLx3wKuHVJa9b8/UDBhd2zLqPT hVwB0SP++p8oaJrek/hbqYg7nftCSKGbgsPVigbDD4q5GnEXb7zvpUD2UnPd 0OoSbqX4PPdhPwXuWqD99H7BXbxbrWh4iALqdMjbsbAybuhcctWGPxQ0f3FW GFtbzlV4rqjSOkbB0TvCRSNtFdwtRp9YXjMUWCf08Y1kVXK9H70b2UchIH+0 3OmPTxX3aY+tTxYPgbLVR34PT7/kSnxzzzwjSoD/Y7fGkNJr7vwavUhHFQLt Zc8PDX5/zb2oWfLloTqBW/+lVP58UMs1a6u8sEKHgG2g7c6B1W+4Faynei3G BJIEi5P6vd9y52yCf4vbEyg4Yh0YtPAd94mHrO6bzQSuDhjLjIa947rsVPMq cCXg/47hPbK2keucMMAS3EeAcbWG+qftPXdP+WmFV+cJTIs9vnnArIn7o+PB pd5LBHpPXtv4O6uJq/Vn6QP9qwQee4dnDPs0czvyyoxt7hLYZmi0/Nd0C3f9 ggWvsxoJZNdmBvxU6uAWVU7k17KoGEsp1Oq60MEduvEk9LYeFRbedT3v/3Vw vykXB5Ytp2KQ9te5uOkDd2OD4dkLjlSYrLBdfi6qkzufN/XwYRQV7+7NUDWG u7hlwdVCDlNUMLiCrqJ6X7h+PsMLsgRpMFVPXB61+wtXbfdbFXUZGmLHbo6G NH7hul9ffOODCQ1GF1s83W9/5cYH9bZ/D6HheK2O9aKdPdztbDv5ckEe5D14 on77cg9X2F4t8o48D96nmNPYb3q44+WUO436PFDz3lKycFkv9/4rFl5v4kEt 7bQehfmN65PjsND/Bg+kV3xkvH3Vx/3cljaV4MiL/HvnPu7VG+A2LlaX0Wrn wwBj4IK12wD3zHr3gbbffNA4bL1SM3GAq7AuVu2JID+yzISze/4NcPUdo9wF zPiR8PqC17aXP7kuYU8Gf+bw43BP3B9LlyHuzOHPR7yCBZApXBchsfY3tzdQ +32HpRC8uY1XBgNHuW3Pfu9psBEDJWei+OP5UW54xc/5u/vEkMIj31l7fZQb oy18MiZWDDWvvRRvto5yp+6dP7X2nRg0nWZyPJePcQvsPNb5Oorj+x6NO5+J cW7T7fHISG06TtTZ1NfLjnNf7BE6EG9Kx0K9wF8lhuNc0X0f3l5YT8e60RKD NM9x7taL0olb/ei4ecyhcPPrcW6Efv9F7Vt0+CYcK30XP8H1FvVaoKsmAep4 TteLmxPc0bgglqyhBFI311DuVUxwKzRycn+ukkCtPHN1zNgEV6Lx44TxTglo 38irttryl/shU2JiS4oEBp81vatQmuRqdwiPtNAYOK34788Dk0muefBOwTg6 A/InFZnZ9mQsXcSSV2DAxsLH+XjEJLfvxN8V+UsYuPtursO0f5LLzv9jeXk3 AxaGatNalH/c/tqXWY37Gfh82UpeVuYf13NLQllHCANi2xNdJ63/cY/Pxxhb xTPg/43TU5D/j5u8tzza5CkDX1w7BMpf/+Muqin6JlfBgGP7Wb363n9cyz+r jYrqGDCp6w/+JjvFndAMW6D0mYHba5Iz/yyZ4i48/NWtr48BxVKLl7Mbp7iv RC2FPYcZoD3IpUtHTXFbr5zsOzPPwGEt56WsnClu+RvRBnV+Jr5f43HRez7F XVctcCJMjImGJI8bFqNT3JXxRfmr5ZkAnVnvIDbNNUpX//qIxcSjcxUjrpxp btuvA1atmkykhKmsPLJzmrv0k7CGvhETQhPvPCJCprkhT5kOu5cxcWz/iXNx l6e5oc7eilYrmfj9Xf9e2v1pbrhjd1+nORPu7l3NN+qmudX2u/iULJlo/hg7 9ahvmps6XNImtp4JS+eVymXEDNfsTVPhbVsmihuG1r6Rn+EOR56YHrNnQmdd ul+78Qz3X2kGbcCJiYxym4u9DjPcDKYQJ3ozExKmM49/75vhqqhlvGreysTp gtudM2dnuNVxS41fb2diQnc7VfD6DLd5PL/FawcTPjeENKVezHAvjHfP3HFl olO5eIPKhxnu7r+nPpvvZMI21SdId3yGG/u5vINNxuVMmSvL6LNcR5UE3Qfk 80YxNaVrtWe5j3h9d30j2/uP72ivvcUs917ji8kKFyZkTmgIubrNci3qBI9Z k/1f+Neq7xs2yw02KQ0KI8c3FxjpfDh5lrtup6PHVnL8AYNLQk89nOUWnOG+ /0rOr9fzW1Zs/Sz32Z9JC2kHJjZ1Jb5K/T7L3fVj3PIvmZ+aLWsG/6PNcbMe 3tl+hsyf6ftRiUeKc9zwS5cEysn85q+/Zvxi2Rx3slG55dZqJpRfOuyoc5rj 0gtqLVdzmUhYSY1o2z/HfXmcvz96ORO8Tx/k9UTPcReEblh2agkTA7foY9Nl c9ykhQ30U1pMuKiVyQh0znErLMZzzqsx8TZ9P1fy7xz3fMkcYanIREF8Q7SO 7jx3OukiWuhMaAiF3zdZN8/NiuLXvSnIRGqEbusaj3lub5sJZRGVieOHL6js uDLPtb7330HXEQZGhk0tfQrmuX4Vb1m8Awzs9vm599Dbea7uhphGt68MsPXY na+oFNwLFa7WeMuAkMppjS4TCsJXMUXKcxmoMbuoH76WgtgZ1/iQNAYit2QY KzhQcMU64+oU+f5R459abvej4KbvzQCHUAam5ga929LJOsCyQSx8AwM/O53z 3lIJJH5ZKn/3uwRuTbrf9xcnsDrp4t71HyWwR/LAU1F5AqLCN9rK6iXQuz66 Zv0SAlMzj1hLHkqgs7j0e7U3gT1xi2N2BUvgTYoGp+wNAYOAB1+/ExKILjBa tLODwDVNx/cRI+T5927VsrlvBCS235rl7aGjit/FymyeQP9dq4bKSjpKDsf7 PF1ERevh+Y/c03Tcdfp3834SFXt/dzeIUumIpddpZe+ioWuTsfyGP6IoMlYo tPWnoWm9+6XaelH0uu7nzoTSsDfy9PWNt0RhepfptDmZBt1spalQD1F8t3I5 JtpAg+uKVyaHWkWwOmLobbApD6ouRRgplwljclz8kIM0Lyq9kl/szReEqoL7 /LwqL/y01m4RjROE7ZqCc3cX8cKD7aHbuV8QuQlbMgQ28EK13TKYb7EgHPSz q0sjeDH1Tl4s7akA7u5ZLKv9hxd76cu79N/yw/2j0wvaGz7sc0nQ4WrwQSjt 676ADj58k+ERWyHOh4fb/OW7+viQz/C8FviXF7QPUcHFBD/4jiTRztTw4np7 sWGAMT8ub1TdYLmPF30tynmfyXtv6SHLLMtyHsRevrvJ5j4/Ak5kl1fe4cFS 5+W8xc/5sa42YPZICg+imh3dL7fzI+WD9OezB3ig2RQpbyMmgPmfu/g8VHng +24wvoi8N538axLEE2lgxAdzNaIE8OLzimnFCBqK7fh+JSYKYMG22fOegTQI v1Vaf+CeACabZh8n29Nwp96BV+ObALzOhGnEMGhwiul6lDgiAKW5olcONBpm bPa6UymCuGJx9p7tGBUb3px58UlWECY3Q359b6XiV+3T4MSNghDw0pO+nkFF UvRaTaqrIG6L+k4svEjFSuv3rfv9BPHV6tiqyggq4l7/NFwfKYjA7vq8Jz5U GNQo/iJKBNF94vkxGRMqAl6edt+vIQSx4KSUR58JKPZa8E0YCmEdX7uJcguB OqrgrTAIoal4V19RHQE2Yv6c2yoEfuccqYNFBDqKL5+4fl4I7L1uoUQygciO zWraKUJQcths1hxLwHBSpubBdSFUtVh5NEUSiFmSIf7iuRDMAo7HbTpCYNX9 /zI6hoWgsiBvgf82Ar8a9pjvmhHCPYG50mxHAmlDWn19AsJYLcbHJjYQGNe6 pzumIowb9KgOcxDIsQpoDNEThrif7pzacgJ2ewwPEabCmPhbyqNnROBm7pMS MSdhvDCtzCrRJLCpKnjX5V3CMGrN7FqjSoDWY8ojv08Ym+drtk8qENihXLae EymMmKeLur8wyfcwrebD6qfCkOh5QH1CECgtig6vrRKGlfg6/pRZCvzabVj2 jcKYI2+Ma/8oeCnV6OM6IIxqHztPsxEKAo0uiX6bEIZtWV9jzS8KlBydH/jR RLC81WXu+E8KguM7Jo/Ki0BzWmqf/zcK1O+lXZ3XFEG6d0BqLumLpvodiFwi gp22nTv4v1BwYlCpV8RcBBqfu+9cIj2iK9wddclWBPfWShyz/kjBB851bdnt InjwaLRSu4OCqHVeb7O8RdC/SfqIMekdI2/NII2DIhB25b2wj/TQ1zMD0vkn RND612aynvRS7PU7xUYxIqA5Bj/YQnrKtNLf9dkVEdhkSN/9v7e+fzWgmv8n Aj+BB18GSY9dpozm1jwUwcKy5lUTpN/MlQqt7F6IgD4m+opDxsMrjgy11IlA qOm7exTpvasuyy66tIvA3jeXwUvGVqHTRj29IqiN05i/TXpx4srzdp8/Iija 2EI9RsbXnh4P+z0rgrvlr1hHyXhj2yrlI0KiWPqXuTudjGfHaVWz0qLo5m2p GyTjW5KvvE+rimI1lbXTi2x/s+FZYWEDUfRRmKpC5Hh4HKzvXTQTxXbpMvl2 Mn5wQMRxoZUoDDevsn9HzudNKjP47iZRKDjoLPn/fPuqZDPNd4tict6+PpTM B2VY5WVbgCgOKyxSlm8mvSfD+bn3uCisvdcZ/SLzabTaQIIaIwp2qjR9hMy3 3T5j4+RUURQHyhZrkJ48Xb42orxQFO38pQmaXRRk/LS5ualSFC9XbG8Y/UrB Uymntz/ficJIhDPym/TkkI+7nPSgKHZ62oucJPeLQKLPqtv/RHHc56a45DAF rNID3uAXw49JHakOcr9tYhx/5MsSg/udB/g3RcEBs8iOeX0xtFjdD3KapyDa K2Y+cYUYtnu2VHylEXhRnLb+xRYx7BaMfZtA+vFDb06Ak5cY1gsrpT5mEBgT u5X8I0gMBY9NfhMLCWh6PO1hxpF1/9X/TuuT7495zAvBm1fF0DDiS2VwCLg8 eaW/8pYY5IafLNTQJ3BRuCV0z0sx+PD7BfwwJe/FR3+Yz6fF0Pv73ulG0pOS nyeXOQiKY8kjw6PrdxLQE6Ds6pcWR/Shla8nvQh4uIjdkVgsDjmNPX1Dhwm8 4dFe47VHHMNHIkvXXCHQp7fYd/qQOPYdLLFzySFA2bosPj5CHDdrj9DybhNY cteyszhDHHgwa9RZSiDDefdB8Rby+1llAcX9BJ4e90u93i2OkNy0mkMjBJpu BpYt+y2OEzum+LxmCfAcB99DXjo006vCu5ikJ5tsHTqV6bDrPnlw1WoqskP9 Bgw208G/mRnFvkOer2WCk1E76Kh4sfSNRREVZTx5vF0edPzUeSWd8oqKLzG9 yjEHyOc/7jWq+0qFYtaOzT/O0aE29ujjYVkaUqvsqrJL6OA7O6M5R94vWoK/ Gicr6Dgb2tipm0tD0YYLXXav6UiKUTkSV0hDe2vN1GwLHVat5a60Nhqkf6xa tG2YjohkxetbSH8miBplMFgSuK1IF/W7zwOWw/vbPpoSWCbH5/i2kgcPkg4U lelJwPli9AfPNh68U7rb7G8qgUqj2GLOPA/EFqsL1zlJYNLttqSoPS+iNy08 GhElAeGcy91r5nhxKnPGfmxQAlWRfL3vTvBjo8HTAO1Rsk5KW3FYJpUfiuVB F93/SYCHGXQ59hE/irsH3r3jZaDA+4fbbB8/RtgddncVGfDdeej0NzsBct8W bvDayMAu05TQHI4gVhX5W7U/YiD3fPIrvXnynrLW8hEvZmCb3GKBpwrC6Pzw 7axFGQNmHZreO8yEcXTGpabgDQMfrEoU/gUL4z53veXFbwxo9h9sdCHPYeVX GmutFzCxe/NM4MJREVCavqAkhIkXMdzbW2bEcPpHaXbISSYeCw4d+KYkDkFK OnXZWSa6vwRZeK8WB0N3a1XhZdJJ2TKZq6LFwY5qtLx3n6yriy+URAvTYW1a YZvTx0Sb7doH+ZfpaLDPurdriImx8dTx9P/ocNwTTlcaY6LCZvz54Sd0uFxe /j6NkETCkjHVH+10+A8/dL4sLwkX/eSTInISuHTtmstZB0nUCzrYG12RwMLi k88ttkriVkmZwoY8CVx9t1ORd5ckaDtGnEyfSOC/WbkvJ/dJ4j8TteaEZgk8 3ZzoEXpWEoXyfq8FRck8+QdWLYuTRPrMlcybsgyUn97Inrwsie/+ySclNRmo fSDSf/CaJJifIpZZmDPQKXzG179UEp1ZdTrjQeS6sDzqdF5K4mfzAqnXxxn4 ZrJK52edJFZh5a0d5xn45Tk75N0hCYuvu7Q1shkICvtoq/5FEr4y205fu83A ZELRvd4+SfhMWw92FjJAlB0KcBuTxG+ZwB8Rr8n6vNXxvdK0JEZPt80Nvyfr +aFFhp8JKbyaSFCV7mRAUvbX2DZxKbSu902LGWJA/aDXUSctKVha6FtKijKh u7zLMdNACpA3vFHJJD1G2aI/sFQKf5ZLjhvIMmF+warv+GopbFvYOGCuzoSV Q0V5rZUUiOWft/VpM7FxoWm61EYprPTVtlq7iAnX6zpOt12ksL3ku4GhKROe vrn6E+5S0FwVPVJGemmvgaLwKh8p+KY2VPCvYSJoIqnv/H4ppAQ38PKvYyKk RLyi9ZAUtOJzlEpJj508dTZdJUwKSXEeB3XsmDi7jgjee0oKzhytPfak5+LE QpyenJXCZzHxnTrOTCQ1j+hT46SQ90freQnpwfRUP+ENl6WgHZHUR2xj4vqu 3r7kNCk8bDdveUV68rb6jorubCmId37MaSC9+XCwJV03Two/g+avRZMeLXpo G3w0XwqXJAt1psm47Gi1U2WBFJwW81xUJv1avRIGYs+kELpqTO3/nzfwFAlv LZfCpscXzM6TcUvtov5r1VJYzNui3Ui23xl/q+JXPZmfnGaLerL/nk2qGcua paBMvfT1ODm+Afmrwac/SKE+ZcHGH1uY+NMt6fz2ixTuf/DpEyTnM5kXYyDb LwUps4uT//ftnD+fiOeQFNYvuvwhgMwH75Lj/fdGpZChd+xLEZkvkem/FVP/ yP7yNroW2zDBKD+QsZYijXeMBXlBVqSvo34Ex/NJw6q7TaJvLenbDe7OH0Wk IXk+dVjCnPQn86OBOlMa4Se9Lv9dwYReh6NIgIw0Wpat3py8jAkzz7WVfOrS CCu3Oc5nwMRq7dIMex1peAefjWklvWv9Z2nI1cXSCKoa4XdnM7HlmOaixVxp sL4duHhHhomDl4Uzd2yRhrNgr4bMPAOh20+H5LlKo5jhWVP/l4FTKrPOo7ul cct+4yH8ZiD+7i+RcwHSkDkUcjq+i4E7LxtDCqKlkZwc9YLnGQOPzltvmo+X hvzU1jarBwwU21cusk6WhlGDBtvpBunbTwXfu65JY3Sez60kgYHe8eRNws+l cXxa2PavFwM5qwyDPlVKoz8icO+5bQzsjGmIu1crjS5DntEu0rcf1HhfO7ZL o1r8qW2XIQONjoGmV0elcbez9oP1rARKH9go62otgOPYt4UjkRJI3kcM2CYv wLXu9Af3wulwKrrKp5KxAKfCFHkt99HB4DVRHb2+ABSdDS9rt5Mevervkvxw AbRe9Ry6akLH6bqPDV31C/As/NicVI84DnAePzrAsxAyNXsv3K8Ug/U332MJ AQvJ+v9p3A2yDrU4pnpnzdGFmPo48XibnwjMpTo/TIQvxN2OaIaqFVlHr91g sv3CQihscB6f5BGBVq7+qOqNhfj99bvdl2PCEPYc21PYuRAiglwp6SNCeNN7 zKndUgYzXkeuro8VQE3Y0ohoWxkwOsx/mwcIoEpy+IGZM/n5jyeEn5MAStbs Es92l8Fh0fl9dnICuHPdvNbnmAzYO3M+H7nNj5jd/Jh+KAOVcLHAl618sO2N 11ZUlEUOrzzj4xZevNHubXZRk8Vau6BDG9bwYn2QcXialiyWHqbY/dbnxTrq 53cLjWXx2PByYjU/L8yVtQ8zN8qiyiHp6fMiHixxeVkmcEoWtDtmhaYaPCi4 ttDX8qws2oRlkhqleLD4px8zMlYWJ1Ze+pPMwwO9EIYXLU0WHNaO0sJuGjRT dgrPPZKFoIj2MsNsGuSb/zmPfpPF20fvqCwNst6Q2zC/aFAWO/4wiMKFNMh4 ZOUdGJGFpUyPxBEhsp4YsZgempOFnB5H4uwvKuj0xKzvC+QwkmhA//iUitjN /VYainLIs32l03ubCtHM5aOeanI4Off1hlwmFUJ6X9f2GMghyuLGTqlIKmg2 ej8/WcnhRH7rskWbqDh16WSi/EY5NAnF1N6ypoLysXnF9k1ysDvBx+fApWLG JzS+3V0OAv4hqhwOFRNRNUuaQuWQs3kw4u8cgYFK9xM1d+VwPUzTmHhEQOli u29sgRwmDh9bG3+TgJOrrbPTMzl4d5Z5OGaRfptcpvWlRg7nvc7sOET6NEFX ovlvjxwW/VBXY+8jUD0VWfp8QA6v79Lj7T0JzFTP5EX8kYNtR736gx0EvNy/ HxOflwNvj5G7oB0B0+QXGhqy8ghKiR8dNyRwYPcSxpCyPDQ8JoPu6RL4b9Ht mYca8hg6f/VcmgYB+pukxpVL5FHbF7xaWJ7A2isiJTxm8vClq76NlSYQ4nXq v1pzeSyO+l66RoJAL8U/dNNGedivz7tiyU9ApqHHU34z+Xk8Y28ilYBt2taN 3TvksVEiOIA5R/phyVq2v588tj2R7b0xTvqB+kzcKFAe75pemjz/Q3rhncHU v6PySJHbEMdDevSCr/zbM5HyWCr/js7pp6DcOKFofYw8kt6YqvKR/pjgEbgu kSgP12QPPinSJ9rvj8W2pcrD4ej8XefPFOzKHD2ani2PZX7VojWkPy/v9fHw yJNHm1+QzF7Sn7XLujZw7slj5NCzqlWkh+b5nE2GC8nxntlMs/q/l5prWYUl 8ii4PF9zkvSnTzZEQyvl8S3HT3CQ9FeG/+O/qJVHXp7j06h3pIdNdbr5GuXx c77F3Jb0moBgzps3bWR7m9O55qTnVrQueJLwWR7+8ZdyvEn/BV6Lyd7yTR6M 97SAUtKHeQdoFxQH5SG8etl9CzL+tCL4cO+IPNhCxz0pZMwQHt516588dG2V k37WUbCufff6AxQF/Fmyx1KA/PxY7oclS/kVYPY9O3wTGT8M3Kg8I6qAz+cX rmol437uK6EKSQXkWC5I/L935UXNxqPkFOBs/iPMlxyf/YcHXRtYCniV00E5 To4/8oZGLZOjgLI4Q/ZLcn7PDqYXdOgrQMLAfNiM9ObvVczMzKUKiLy1cXcf mR+2+LlznisUMMS+da6czN+2zrkg7TUKYLy+sruBzG/czYOuf6wVUFHsOyVC erPq8MC6J/YKqFPZs/FYJwV6Eq0Kq3cqQPanpMP/vdkX03fqsqcCur4cGK4k 1ztd6G9/v58CTM0uTrwg94MIz8KHF44qwK93k+Nycr9UndBc0BWugESJlAdP yf0UOmsStuiMAng8W6Ldyf02MLHVovWiAty4YS9MZinICfK9rZmigP/+O6nq SRDY+juEHpqhgNWTld2FvARqfqR9ULqtgEXDV3laxQjkdn7y96lSgBaLWqdK +tJl66+mZ7UKGBA4rZyrSXqxdc5ErFEBy8zuxjroETj1Von26JMC5rjPZxYt J7Crwi15ZkIBj8uspHmdCCzkBs7YziqQ71eYxo9tBN4+O+WWTVPEbblvX/65 EVhZeE3bgq6I7fKqidkHCMjnfXsRx1HEaG3ViHA8gWa1CbVufUXkTLPMNqcQ OJ/NF220VBGfN1k+f0ueJ1OpGk4d5oo4t+ZW/rqHBNpjfL6zXBShRtitcWkj EC8UsuGQuyJao53MmV8JWEZFP6zeQ7Z37trv8QECj0/cDtt7SBGr7p2kr5wn cCloiP44VhG+C5P6/pLnnfXv2UMClxUR3d+2TnYJFdR9Yh+3pSliRuz3Cj9Q ccBLP3f+hiLiHQfXXdlMhe3WgGVW5WR/OswSzbPk+csdd+scVcTyAdF+7REq jq7SFHg8pUi6zcAtiKChb/X2/DhCCdy72YdH6TRUrCufMhdXwjBHfjLdgIYQ h5hLN7WU0C9mMJEZSMNPT/bLw25KsKlJc6gheLBtzxa/jXuUoNwyXfVIkgc1 vucltPYrYceXQeMO8r66vv/Pjk9hSnidWmD93pYHLsHPJ1anKEHNbIVDeCYP 3lxw1pR4q4Rf0utcqtfzYnnc2YaBFiW0N9zo3+zOi7yLzw5WdSrhm4aHsmow L04nqZQfGVCClJfSS58bvFB8N6EzTFVGQ2p5TQ8fH1o7Kl46KyrjQIi8z0wj HyyHtv1lOStj4I6wWsdFAWRIRjQd36KMlfu6rcTvCWDM9Pa9zu3KmNtQMnL4 jQCyoqe9k9yVIa51+kEHvyCmNK62Cx5QxvawpoMypwRxx/1T0e9oZfh8dXj/ 4bgQ6O07w0rLlPEs7vTRh5dF4DUftUWuShmMfbyzY09EUKJ+3+hotTJK1vFf svkgAp9DlKFFDcrQEZmrPqIkigpG9o7cj8oQ7qO5nrgjioMbuldemFCGrJSq TV+1GNordhPbdFSQdn7tJ+FQOnkefJA9pq8CEVTo9UTTwV9uZ5S1WAUfD9lr 3kylY+mL5d59Jio4FhjctaGYjsRn9PrAtSp4oX7R684kHXYFJSnnXVXwvFsw PP6ABLwMFz/Md1OBlmCxOM9xCYQ/vFHXuFsF+0O233WOkcCd+wlzC/xUoH7q 0vvYmxIQurtn9/UjKsjlL9c3/SKBV7mSBs/jVbB4bMuFuLUMfFaLtvpySQV8 rTQpT3sGxq/Nu9OSVZApxa7g38GAWs7AZat0FWw8qmLiRnryVEbZdMtNFdz8 cKhQPp2BVIWlUv/uqODM7dYLFLK+fXD1tp78fRXYv6rYe/s+A19Sk9zcH6uA /0ZPvGMlAyuT91b/qlBB44O2gx9I52+S7v4i8Yqcz35WWg/pw32XN08ZvVbB HN1iZ/44A1cvmeuGvlXB3relwpE8TBQwnlpkvCf7d/C+clGYibqLurvKW1SQ FxUn7sJgYipu4SX+ThWsbOalaCuR3hCPvaPVpYKjDjeU9Mj6nxNLe7WhWwXP 7PYHDpE+2HLh1+Sl7yq4kygzk76Eif3CuxlPfqpg2tyuPWY5E5HRHdoffqng 6gqHxcakHwvPVrkqj6tA7pvXrUeWTORZ1y2MmlTB6p49/s2kF1NF3r8fmibX a50MPZP0T0xD+wWneRXs2xTzkOHIxIn4LotnVBZqZKLvXie9GOTQR2HxsZBZ Fyb0nPSVl+RQ8VlBFly2Lfx8bCsTW1tHDw6LsKBg6evfT/rMJmVKbxOdhXnG CWKK9Bt3G/GjhMmCMtf7UyHpu8XyAtdUF7Bw1UZ3nRzpP7XPYjuiZVm4VNIV pUXGC7KkFvxRIJ+nX+juIZ8Xcpdv3KzCglsNN8OSjGdUVc+XqrFw0EuA2ES2 P/yNs5atycJhv9GN4mT/3TcM5s9rs3Bmi1hzEOnDFh/johE9Fp7ne72L2MRE jfbKoK2LWVgxLHiBS/qweGiNbtkSFlhpvBtu2DNx9976fvVlLJw19N76zJaJ rACH7BgzFmKXmf0NJfOXYLh1+xiXBQe9hL0/yPwefeL1ttyChdPfJ8bryPz7 Be87p2nNgt595aRVpO9dTQ+ujtvAgrAfoe65lPTfi5NPXJxYaCpV0H2izcTS k2cDKjez8HfrQYM+cv01V8dpa21n4dXgE9Mqcn+IVV/N/OvGQv2s6alYcv8Q 565tdfVkYXV4slUoub/GrG8xX+5hYVZnY2MBjYmOhidRCftZSMpbXfxthIHr re/36x5jYeX7CJNn9Qwkp3RwEk+wEFm67kgxud+jt33pmYpgoW//t/VBRQzs /zy0uSaahQ87tJOkrzOwvE8AHiks1ArG1q09zIBunvjU6zQyXxWFLYa+DCj7 ShcYZLKw68kLo2/k+8j7S1VzLpeFoMT5d0lrGHg3vpJ+5RELxiVNGZvFGfDi PfSloYEFAUv9CJc0CcgqvW6bbmShP4ZbRyfPhwYThbeaLSzwJnlrZ4dLYOne l89PfWQhY8nyjdvcJMDXJJW29DsLaZVn/1izJZCb9dg5g1BFam7lC+E8OnpN J2v3GaliRv7cqXyII8XZpiLVWBWmhTcXZCmJw2Z/VlH1clXYVYtGR8+JoSBn XZ7KKlUkVUfJ2ZWI4bTglTMtG1TBw02OKDYWg1rbMqzwVoWbWdXUUn1ReASG FoqkqiK2R/Hbc44wli7+XMhJV8XnyGhtN2FhCI3gsUWWKo62GL1VHRLC/QC+ Jyf+U0WPpISU4AMhzBy4+HTsoSrOHQse2LVcCEn7bzzrrFNF2XyiyX1HQfjo C5X8a1BFiEKN6yljQZgN7y2Rfq+K5d57joXKCaLHf/Hzje2qGFIsie7tEYCB //PSql5VRJ5YtSTzsABe720qvzOrCn1pOwuV6/y4qrO04jVFDQUFwufyo/lx YDCloo+mhhN0099ZAfyQ3utaqSykhszDjgES4Ie734+qRGk1jKie0FPt4iO9 NF8dpq+GPLNAKRl1Puh7azfYuKlBdAktrbaNB599lPbf3a0Ge++CpV0VPLiw l0kX26OGQE7sYtN8HvwImLZ/668G9tFTq0vO8OBaWF2LfZgaLOw6un2NebAg we/TpmQ1WHPav3nk0vAqcWf4k1Q1bDko+FApkYaDyY5KCzPUYN72yY4ZQUPj VVO3jutqWFk+nZrtRsP5G8Lftj9UQ7ReV95mFRrmS24P7qpXw8OTpU+YpB/z X2TGlL9Tg51/ib15OhUuFZf0WM1q+Bfqr3Yjjoqi6tADPR/UwLO+mcY8REXQ +/Vjnt/V4DT488oBcypYLdzLr36qIUbq3fcNS6l412a4VGNYDWKEYfwuLSp0 P8kd/T6uhqP7tx1lM6no7/857Utjw+rzwXStfgJJA11X6/jYmNiQmHmvk8Ca oaYVOkJsqKvMyvi8J5A98uz4EJ2NTPN4/uBSAttnz9MOKLJh9x9RKHiFgBDl xPV3Kmys83qwR5+sH59SD65dxGZjVutQwdkoAlICLlEj2mwYMhWvtxwm61GG jvChZWz4lDrxvN5M1qP79v1IM2MjUObPsZmNBPKr86sruGzkEe5wsSYQG7bo NN2CjUT7Lb5ZKwjMtQa6G1uxsZrNeXLamMC+RQVwtWGD6eq54PIiAjZ9S2dv O7DB1/a4c5k6gRIc/fjemQ2ViAUaDcoEdNKKiv5tYWPD3hC7WDkCwhvNDlvu ZONt/SeeBNKftUWrhrv92OAvXH4hd56C5ZIR9YL72Vi/qH5j8jQFt/yrbhsE shGRGne24C8F51Qt94QfZaNS2FQ+4DcFk8fOWuSGslF1fP8O+hAFe9pfq70J Z+PWU9/ODz9IX8XYfJU5w4aMvY3rnx7Sr/0xL3CWjVT5cIsVpE80zN+me59n Y+y0qHEB6c2kq/Sw2Fhy/MhibSI9w/fXflvhRTYUeDqnWaR3DttfMulMZKMv 0qtQtp30ze1maVoKG0fCv61a0UrBJj7pcU4aG90nLx0+00zBy12bmzZmsGF8 2HfZKOkto2cpD45kk+MdufL8POnP61If4jKus/GppIbHjvSZ5AE5/5c32Gi7 kk5fQfrtdK2LzeAtMr92L7qdSd+NqWVoMfPZeJ7dHHaF9J/H8S6B5Q/YsN98 +gs/Gb/vUO7fVcCG9JJD4tmkF82N3F9GPWFjJ8VW2PP/noy9di2/mI0T4YUt jmTM+tF7suU5uR4HHQ7sI+OE1eq7ZsrYSM+r63xAxkSG90rVKjbQVS2vQrZ/ YDJP3rqaDZHPQ4uekfEXh4GpA7VsOPn2Kpwgx7fxrnZHcj0b+6wcuveT4y/j 3/ek9B25Hvh8Ipqcn4F7/uVvTWzsktKffkvOP6tkOEikjczXhZ8OIP1JX7DI wfADG6f3Fp/7SObveECgwbZPbKQFm2dnk/n9VfdI7OQXNoKDtdISyPy7qo8P 3uhh49AimeB8cn1Wfjxyc/wHG4yu3H6vLgrylxRFyQ+xsW3nxVBaNwUK8VOe q3+zIX5XcaqW9OjMmmOsixNsiL4qev5hgIK9maWUp//YmJeT4lMlPdr5b/7z 5xk27jrd5SaRHn2WfypNh6YOHz/TVaOT5P6wcZZN5lPHsqi78oakR+1/aFwh hNQh0/H5ci7p0X7V+qRWujruG5YWsoQJLC7PlFolqY5nr85H6tIJHHMNTLy9 QB3Hrm+28pMiwLyyIOGEojreOXH+HSffH9elA/SfKuoofGBL30y+XzebSuKc 2er4t+/BPjcdAlwx9xgtHXVYyPjb0ZcR8Iu4c7Z5mTpi647NtJM+fax8nJ+7 Qh08BZaXbFwIEKX2kTehDk12/cIxDwLJkxMR4ZbqYD+2WtMVRKBy36rjms7q OKta6auZREBMWHIuYYs6hLtZL1dkkr7O6wub3a6OGIeSx1F5BIa7z4e8d1eH oevHR0XPCMhtaT0UdkAdEbFnBY71EvAazxvrC1KHjqb3foNhAg8SQoPsj5Dj 1TN0lpkivVqvHKAeTo5HsnbRBTp53pr77X13Xh1/nALMprhUlHat+Lk8Th0n dy3L22FDheAxum9ugjr0CJdnf7dQkfmk0DvkijqMkvr93gVSUadD8VC7oY61 Ckm0hTepkK59/zX2ljokvtx/YvSECjfv3F3/7qojd9cl03Mvqfibbe3aUKCO o/p9Fh+6qVBdcHnr0Qp1qDFWBSsr0xBKaG1880kdQT3XwpPI+6hvjXC7+ld1 GHtfa5p8TMPGs4M7T/aS7TfLPEuooUFN/N7+pT/VsftF+cl9gzS8kTeKy5pU R7XJtvtlS3mgaLKy4SBTA7Yp8bk/W3hwNlRp01tpDSyvk7/TMMCDkVLKZ46s BiIRbDEwz4PqtZVDn5U1kLju3+E6LV4ccFwnaqWngRytwHPGEbyo8HewUbDS wMq33LARLh90Hho2H7HRQP3w7GzsFj4kjUu6vLfTwOFTlc/cA/jgF9bmF7VJ A6blKYP51/ggGe1y/o+HBlhTLdpNQvzwyvWqfRmuAQ/+Xx7MHn4IdYas8y/Q QOrpyzuPlghi6ZGbonFPNBDEpcnc7RCEG6P9/b1iDRgPBizl+yuIp+uW7PhT poH79+rfsxYLwatwOOBgvQbyBrr4R24KoTx2d1pInwZiLh2RtskUxtFVtr8i F2pCjB36d1eWKK53hj26IaeJna0JrSgXxdsjt4/WKGpC5cSvLRrdolDPF6AJ sTWRIy6oQlUTQ5Ns5YKYRZoY2/nrQeUNMeiNGa+6ZK0Jj/eX9ivmi+PbfyqJ mWGaCFx8gzbaSsfg6a//aCc0sSn35NqX/XSMuGfv3BOhCem8lB+hpF8pSira i6I18Z96y4KLMmQ9mqxcUZGsicvnxi2XbpOAyqEvGhppmlgxq9LG5ysBTces mPMZmoi9ZGb5IFgCS8SVtzrlauLCn8RzsSkS2Bil9PvbQ000jHHfr22WwGbP Lmfrx5o4Pm99vaxbAq6rM5/lF5HzeTHeIvRHAn7zilFHyjSRwYlYICDKQOQR RUXBBk0Ea7i6+pszEOP8OWJfoyYOLNx9QdiOgUTDjB+NzZqI69tI99/OQPaw QmHqR02oCbcZHyf9W+KtYKPzQxP9wjvaHmcxULn204P4QU2sD3OL9LjNQK1q +oLxYU1cuW1WXV/IQFuXfM/zCU20GO+Xb3tNevt55zrWlCaWxlRwDzYx0Jt2 NT9yVhNuCb2Muk4GRjbLh9jxcEBNv9CX/YuBf0s6ux7xc9CXKjah9JcBiuTV tQuFOTiybHOT4zwDou/kJL5KcHDCykiqQ4wJyfyPh9dKceD3qOqspjQTshfS Om8u5KAnn/mdo0D6Z51cXqASB7vXf4taSfpXX/2jaBuLg85ejzY7A9JLPGlB puocVFKuGIiTnjLr3taRyeHAPo2aFkp6a3WZLJdHl4Py+4qKiWDCOuPD9T0G HFit8CvfvJaJjWGpQvWGHEhN3hj+z4qJzdu2HVhkTLb/676vxAbSayayrZeX c/Csbk0QeyMTntIfTKdWcFDA0jTqcWBi79iVbNdVHNRFKbVbkz4OfL+Vv3IN B0Tc8DkX0sfB92X2aazjYNsbl4MLSR+fiO14f349Bx1N2hXhpE8j914x+W3L QfgylYw40q8x1lsznBw4sLtIGK4nfZuoKcNT5MzBhv0Xbz8gYxdX9Rs9Wzh4 LO16q4qM1RINrcVcOPgkNPkqhowHX2PIZCcHC9Zw1ETJuGB+Q7yHOwfFxc96 zcn2w5ZsN4z15EDWO1hbn+x/jd+e1qd7OIhdpSP3nvSxSPah4B4/DvaaZ7Rq k+Nvbj0lL7afAwH3KyfMyPldFYl/YRLIwdOUflMeRyZ2m6e7exzioOmzg3YE mR+do7d4Y49ycEcnN6CIzN/Y3Sd5T0M5SAvJW3TDmomSnqr1PeEcjJapx9qQ Xj4t8/6X6CkORCZ/3Ly5mgnmmUEjj7MctMh43zpPrt+H4n9tMec5WDRe0Ew3 ZiLnN1/o01gOsnP2W9kuZsJXXVKx5yIHx2TdtNfoMrHYRaVc9DI5P2fH9BEN JqYu6u02SeGgwZpesZXFREW1Kb9HGrmel/uX6sgz4WC4acPTbA4eqPrGR5L7 UdbH43f3dQ7YuhwdG34mujMOXBLN42D4n+RkPbl/A4XOd7jnk/PJmX0v+JuB hK8vPEWfcdB46fPhMNLT2xbUC5iUchAm9/bQiioGWBs+3HYv5+D6b0KoopiB h0/H/jyp5uDouqLrMjcYeB/HCXdvJtdHYvkZ+WMMSKy8lPRkiIN76mTxosRA e1DWsu7fHKzNMMZNBgNZN+92ioxxkH5k9nMvLwMGUjUs9yly/JIuQ60/yfNm cCZfhF8LnvJn5hMKJRCf6lXtpqyFbpWca8WrJHDk8KmgMFUtqIgVOf9dTJ4/ DhlKyepaUHfyvrZATQI6Qq1H3uhoobFOeY6PTwKvg9dqGi/TQs8xDU5JDR3U rWrnRBy0MBB7WtrFmo5DC7qtn0RoQdTDvu5trBhcRmcnGiO1kPnmtMJmfzGs eStzbfCcFt4rijt+2iAGRpT9tEq8FjalvYn6KSKG/Imy2xeuauHeK+/xxedF 8b0lU8S9UAvjR3jrL5wTwbbEHQ0i/Vr4tWyFZFKqEOQfCcn5DWhBxGRQY2uI ELoan3i/HtLCwvtKvebbhLBbnEFEjmnhlAGPaIysEPyjXxnOE9pQ83BSEU8X xKkT+lf+yGtjUvLKFvdbAliT2fnNTlkbRPGj3V8vCIC/9NzifFVtnHBnjl/c L4AL0z11vlracP9ycWv0EgEkHU6Z6zHWxsAJAYddVfy4uZfY3eqgjahhDdPG IT7sPZ9/32iTNnolIo6ONvFB79b22YSt2vgRudDLppgPD/sLk+x2acOSGd+e E8WHEnff1zX7tHHWlXj9TY0P77Y06T07qw0PQV/rrz68SDhyIlTmgjby7Xrt wx154ZykW3MkThv+CeJqTit48aEpys0oSRudT6Tv3ZLgRa+tWeLda9qA0zPC /zkPJtfk/sss1cYexim3PiUehD3LjKgq18bvTEZCoBgPKItTRX9UaSNulJ2v P0sDv1KcyuI6bRz6HLvN7CMN0v+OWlW1aSPQ5fiu9Cs0GN61ufL9NznfV1HE PiUaHqtaqoqOaaN9Tqx0jk7D8tRVdxf91UZpBUW3jEqDedTS8pBZbTz//Kmp sY+KjW7KP0SEdGDl5By37AEV/lJjJotUdUDQF+OTLRUj539VOKvrwMT7tK7H aioOUX/YhHB00LgnxGmBCRVhw592Verr4MlWzqAgi4rzr6vPOpvp4P3RkAtS k2S9igpGCFcHu282xgv9IpDwuORqhrkOEt3CBHTJejT12oP7/et0ELL5+q9/ 7wjkHUtrD3bWQVMX+8v9O6RXxy67Z2zRQWcT5bXYdQL3feMHK7broFany/VK GoEnm89QRNx1MDN9TM/oPIFXi/ZrZvjrIHmVRNyevQSs83weVgTogL7y0xoV TwL1irvN+g/qYIVWkzCfK4Fm4a0bDUJ1MJIpccWR9HfPN/OjFVE6qLp+a/Xs UgLmmQ05Wud1sNR0eiLZgEDWlm31CbHk/Nte//XUIj1QF8DyuKyDj8p+mWmK BJ6fnrWpSyHz94bKpskQkF957ojhVR0UhOQUpjMJfLif9YZ2TQc6XyIK/QQJ LPPV+ev3nw5yL0fTMnkIpKg+VWm+qQOmjaosL4XApqS3h6/f14FxUaKrD+nt Qrvt2SIFOsjxX+znPUr6VLC/7uATHfiyBmeTh0lvhs4pry3VQfCpFUHx3ylY tCR6/d1yHRzUTTXa8o2C+F9Sh6Ve6mBJ89VlDqS/hm9kZx2r0YHkxI2AcPKI s3XTrftWp4N9DMU3naS378oWjW94S+bv95IFnqTnRJrXKD9+r4OJxoUR8qT3 /GLeWSu26pD1jSGFj/RgrYXLocgOHXS4PolXIb3IoXzP/NWpA8f49qX7SW+f LQqq3fSFXF/312O/SH/2B86PlfaQ63Wl5E0W6VMLnfNKGv06+PK3t+w06dfc b9LWcQM6+IlDTamkb3kycw7+HdLBpHEWXw/pYY8tepk7/+jAMivFZQcZV0gU v64e08GCFRfbBMlYpW7tmP6kDv5rLAn+XkfBidONiinTOjBSsV37j4y7Vuyw osyT6zV8xMyMfH7l3+9Be6i6sJnb6/Z/b6ffP5jxjlcXjoxdj7eQ/c/4UF6b COpi86+IFYvJ8W1XvTCaJaKLy87C//7/+4HizgWKgnRd2ApzfoaS85NJurYu gKmL8vfi0v//+/ZRO/2gDmld6O4fCY0lfd0m8Cx9lawuGq/RlDxaKFhaYVFz U0EXg4aHCd82Ci6Hvh+RUNFFaXcY+1oHBWNGrgoharqIDLKOESPX5+GNQ4HW 2roYs+RdFPaVAgk3Iv2hni5kGFsCwklPH5CNqZZdrAuDOrO5//9/ql7Mdfmf JrookLcJyyE9HWNhYOlopouryYrmu0coGJx/FvCMqws3B4foLRMU3ApsenXe ghz/i+6h9jkKBHV2/hm10kW4mLm+J43Anm8Dci4bdLGlhZ+rJkBAfQs1QMdJ F//R3kiZMgjkrFgkV++mC/+92wvqNQlU2ApFTO/WRZ7Swedn9Qh07+wZ4Owh 8zVanHTAiIDqqcvFkf662MZ4+vcVCFx/9W8rQnXR/+aRWvx2AlVt78v9w3Xx W/nkrkfuBHq/3+akn9SFe4XFd5ovQe5D13//onQxS8uS0Q0mkGtXkfIoURex Sg0F2VfI82FXGqU7WRdOYdnEohwCfQEH99DTyO/vLaH+vEWOP1HdZF82ud7t uSFfSwj81x7dpp6vC+Xkjb1/u8nzyc1ROrVaF6OBui1fjKmoCdQJr6nVRXq1 6Bl78nz8HsHbN1FP5i80POYPeX5q/vek0LGZXK8PqaJlXlTcHJBzFv1KPr// 9MUrKVTcCuq9dGJKF4efmH924qWh9vTz6fxZcj9d2jj7iknDwOUkj08UPaQd EvvPj0WD9tN1hsv59XDEgv/hRtBwZ+bO+1GmHiY9X7F8wmm4e+aQhLeuHsS/ +Ix9pfFg0GzHqTMGekiavHR0oRQPeZ6uGb1mqIdVZwqFjqvz4Ja7ZMuXZXq4 sjUmudOKB3ncRynbLPRgf8ZJ6GMCD67/+61ku1MP6pmeQqO65H12vz1+r7se ljIOv1pkzgvVPWXEeU89KBw0Pp+9iRc5rXE91X7k58PibY4neJH5SO/GqqN6 OM4v2SfVyovUfXv1llwkx5v8NyMjmg8f1JwyHRP14BvEu4k3hw8ynab0wGQ9 1KxXFE4r4kOKtfBIfroedsUJdTr84MNljVuFmrf0cDOXIvHbmh/xX/vN5Cv1 sE939myZtACinD3W08b18OPjlNuJJkHk2HW6eE7qQYiyUFR9VBAlVs7+1dN6 qKp6GjDOEMLICsuL56n6UJ1czRZzFIKLunYbk66PV8eeetJbhLD474i7mrY+ qstb6rO7hPE55VTIWjd9WGaIz2SJi+FfwvT5G7v1seIRq1bBUAySMQfTBffo Iyb7dm/aJjFYnfQqq/fXx9zY6reJ6WIo8LHm2xSmj1/d8dqW2uKIXs5I8ErW x6e0zVWiLDqWdGbfjKrXx864nD4Tsh6k6+2ZvPdOH7bzp7UtyXpx8LieZXuT Ps43U9Yab5TAddVnvZof9OH6Kvvp030SkPRrVqrt00ejX+IE64YEfpek+o/8 0EfIrQ1GLLL+fCPm9lx2SB9ex7a9maqQwOmHQ9v8RvVx+u/6BsPPEpgKo63n oxhgpnR9x39kffs91yswlTDAnW2ZDD2y/m1teH1Fj2YA06d6HpHaZP2sHP99 E58Boo8Y9v23mgHfKvnIGyIG+G1mUhQXwMCWoeN3TcUMkKlQ/ycqjAEL6Z7m t+IGcFpBC7GOIuvxPTdVJxkGcJ88I6V9lYEO4aXl62QMIHZpXal5JQOvjK58 75Q1wM9s66JDbxgo2DEjHiBvgOm9jmZ7WxiIv1fhekXJAIsmbh/O6mMgvJ0d qatigGymVFgn6d+9xLm75SwDNN5+kts+wcA6R7uZH2wD0IQ7CTE+0qthD1XD NQxgu+jIqbWipN9ypdYzOAYYjA+vXCbJBOXvxyvLdQzwsJhH1VmFiV9K3PIG XQOwe6/GhZCe6VyX891d3wDhvM1btpLeqQ3gpf81MIBbw+Pc36SHnqbuMT6/ 2ACHftmnc02Y+K+yzlXJyADxBWuvD5qRnhzUi3y0xAAHtzIJiVVMnJJKuGtp bACtjxs+/VzDxIGV480fTQwQatu34tg60r/eW2b2LzeAQU29xsv1TNjEP1Pl MTMAc8d4ZqUtE8uLFNenrDDAkIrt7aP2pNe7TwbqcA0Qpf3atpf0obTwtytl MMDt2M1xfJuY4DFaV+5kbgDWroGALtKXIy63v39fbYDHBYHT/qSPv5wRox9b S/aX/dWgkPRpQ36AsYSlAbYu11zwkPRrSVuza+46cj0SjR95kr69RTGJXGZt gC8vKULvyDiFk3a3fr0B3n09qPyHjMdGLXIjNhjA+/LMhv//f6xd6cjVZXZk +6d0T634//fPZiQObzSA/iX7SneyfT5H6wu5DgbwefRwwWKyf3eFiYjtTgbo qU89c5v0cWl/dqjEJnK96x2Zb8n5yD7cEFS92QA30zWqrzoxcSjsn++xrQag cHbdkHRg4p1FrrvhdnL+2yyLl9qRPpaw3/bDhYwVNPhoNkyc/Thjn+lqAIEd VheDyXz35uZZOe8ywCvapFsquR444LRK2N0AP2bCwj3BRNpyyrJyDwOEGLKG PpA+nvhfRXYeD/X2xgHcjDFDjGWGZMuSi5Dm+/2WFqpPUrm4XC3aUJZCUdki VCoUZUklqSjZSrS5bqSs8Su3RLr2EiItpJK1+p375/M683qd5zzPOed73q/h 3BAFbyf9SqIKJ0yJZ+s3GMzxJOODb7LDKCEKzotr9XiR83P94HZ7IyGkPG4q n98pwgtRhna9rhDlY1yexG4Rorq2/vx3uhDqVXd+luwRIdPwwzpXOSFC4ly+ 7/UT4fLh14oXiYfn6hS97QgUwSLlrbn+qACxH107k/aR/Rvyrm0/2f99RfyX ViFk/lxTu8NvBUiz2V5dGEb6Z3pO626jADJBildPHhFhf3uKZ8U1AbyWlada RIpwnaV3tTVNgCopn6SxKBFeT1SeuHlagNC0qsMeMSKsyJV9nkLO80Ct/zbz RBEcH6jPiLAh51W1QePjJRHgXzewjNwnOm/DlTLSRfi3UnXG2XoFHLhpwN94 RQSTTI/QknIFzLOMmKrKFGHXbWWzsAwFZPjObb+QJ8JsbSu7CXcFHCqPS7Ep FmHshlmNWpc83neWnxkvEaGlgau3vV4ejpNfE3NKRSh/e1n/7EN5GJtujhEv J+ObEvQKLsqjJU8v9H6NCJc+BNzs3yAP+lzZFqMmEbQenTpnf14Ofb7DM6WH RCiJLrmq78mHwwldteLPItx6uekPdUs+SnM3KHt+ESHiRSB7pjYfp3seyFWN iJAru3uvfbsMsClWLGyK3AcDaZGpf8og1XJW93spCsG7KoPSV0jjD7X1WU90 Kaj21g6Er5JCSq9J+RY9CrYj7A4lQyn05ku2f9SnkCcd9+ZfvhTCUSovZ0Sh NC457cVLSdzYPit8LUVB7dk9g8eekph2a3hNxxIKye19cS7JPDjur/P1XUYh ftfcV9IHeMiwyDr+ExSaJ4Kc+t15WPRy40MtSwqLe4x9ZtM8eE2Uzd5uTcHH NzGl8zkXtZbxYoOOFK5PZujrKnMhkPVSO7SRwla37buqxbhwaV5uKr+ZQvho L+vsewl89x7ZRTtT6A6xuVX7UAJ6CU7N+9wptOzkvNhHfBzZaljwaw+F9KdL lfv/x8HzDM7jRD8KnXejJkv+4kDd51WPdgAFd9nRr2UZHNz9eUrFch+FrjLl HqcDHHTPGo88Hk7Bwe8Y9808Dpbvrt2iEEPqM9JYxckXx0TLwKrqWAoLQ7Wz jl8QR+EKGTr4JAX6yQfhylhx6Kk4SHYmUNgfkmzt6SUOmeq2wtxkCvfLiz7b 6YujxuRH+pYUCo1rHQVnlcVx6LzmCdlUCmU5ZU8UJcXxZbeHa+AlCjk63tnV A2y0qAzykUlhl1hV0cObbCRFyo9/ySL9iX7jVHuFDZshujcrh8JZng2Pd4aN h9XBJdJ5FJ6++TZkuJ+NzD0sz+bbFKZtdK5grWJj7yPF8t1lFH6stn3/fIAF Q9GCPO0KCidrPmSZvSb+TN2U3FRJYagn/3B7E/Hf3jSfxTUUDHsTtErKWTBX M1DhPiX7oXVsajCVhe9R1pziZxT0T0stnDjFws3PPkO7nlPgTdfMWxTDgk7N 7UcNLyhkLojsWRfCgqSfmf+lNgq+87wtJzaS93i7s/OfHRQkDzX2ZTqwELYq wkr8FQVHpRSlo9YsDKo9mun9hvy+z72y1Zy8f6P7pdR7KHxiRSitIT52HZYa edZLIdFQN/3HXOLpGru6ee9I/z1EYoOzWIin/Ir6ByhUORbcoImPV188fSX1 A+mPctei6zNYKPFrCRYbojD1KPYyJctCQMeE293PFKLOqNgvJz42Xq1ht+ML BZmvx44fJT5OV3fT/WeEQoT23FXpk2JYzBiZuI1SqD9oeeUB8XHT798WjI1R CNBeV877JgbJ4Ggb3SkKPa9iOZqfxJARZ7++5AeFx3/UcD8OiME8c8bWP39R mH9d91hvH/FSw3X/cDYN9dSs/NXEU9PeBYQLODT2n2pTu/dKDJk/zaNzJWhw axYMrCX+WqrETVzKo2H5+06hGvFxi1H9+SZJGkXGmil84mN/i5SrO6fR6Dws HmREfCyzyTVfTIaG+ebqnEDi4+w9hn8n82msr5U1GSA+RvTXcmM5GtfbEiRi iBfbLpY+qZSn8TDrm9E64snAu1FNGwU0FBa/T7Mm3pR9YvdqUEjD4JqGkw/x aG6X8rtIJRpHOeauxcSrFqNdw6rKNLKcv+RRJO7gX5+8NYOGfM2nRS+Jb/fp BkisVqWx2r5dMpPECmbmcp1qNOqmeU1PI/ENBwmVAA0amtOWb6si8SqvZzpS mjSqXYS9wv/+bz54zjhdi8YS1ZPpCSQOPbvNdL4ODb7dxkRTko/ijdmom0Wj UPq3QkmSb0Hll99df6Pxt0e6JJesx6r1/tpRPRpndwaeMCHr7R6KdI4zoNFo 4rD4CKlHONfOc5YhjeHKbgGL1Gu6hrJfsREN/4X/CvKIl28xXaH2c2i0XG5Z EEG8bG19LfKtCY1s/rlDEcTLvdv848NENJwTH/bntYvhYLBZigJNI2LxlC+b 9PNO5tO8JfNpHLcvuq3VIwbb+8l/vTClwTtgrvrxrRj6GraWeS+k8Zt7XUX3 OzGo/hpuPGtGQ1nqouyaITEUKt3vMFpCo1XLsOkJ8bOdcWRfxVIawiubVPYQ Px/dNH3i03IaDbHz3RcTP8/c+1o8cgWN5bYmx13ZLNyLzuWrrqTB1nP1LeSy 8PHuYu1VVjQ2N/KLO+VYiH4ibtTxO41XUy+WFSqyoPXmn3n+NjQShnxqi1RY WCe71SrNjsbGzpsq0CXnVddgzbw/aWwRZXNqZ7Nw3Gx4yxMHGp6TPCqUnM9S r6N7vq+jEXgtO367GfFyVU6y3RYaG+Yd0F6znoVnxmOZHU40Muvl0lScWAhJ trq704WGoWHzTBl3Fuq8B+qjXWlMJHR5+/ux4C9vJFXmSfpjkvDnkkQW1EPD lP/wprH1kGrTuhQWHvXU/da+k8ZruZihc5dZmPG3j8WoL6nPhdNuV26zUOZc EDY3kMbJX6Ne1S9Z8Kr9GfMgiIbEd9P2/+5DAWWfYhNMY2fEtmev37Gwg/O5 0DOURv3E97z8KRZk8qjB9AgaNkZ1AR56bGweK9wmH0fjW1bnnQ1H2OC4SexJ iyf5VjHtmfFsFNStP2CcSCNa46ij1gU2WOnfz1udpiE551RJRiEbuSsXvog4 T/azO8erhdz/I0n3Vw5n0UjaelRyt7M40qak1x3KoVGqMeRQ5CMOqx1Obvxr pP+DmUtMwsVxcdGPg7NvkP3iMTQ/n3yfLLqW3nO9Q8P2hTgGOsSROKfSsPEh DcEx2507vIi3F26ROlJOw1i74PiycA7KVnzrpyppNH26XOeQyMHgJr2sU49o +Nj8IaVTzIFNdKymwz80dtit3hnAlwD39RrF5600Soq1Hd5XSEDj/Ycvh9pJ /Q9DI7RVAvNGIhvmdtK40vqTshiWgLv03/EJXTQujPolhWpzUb5ATcq+n4bU tJaSY5FchCX2/Hj6jYZ1YhP38zoeki6Edxz4TiPSqXDl8B4ermcr3Z8zRiMn J2m5wQkeWkpXh8RN0ugLcntqWsmD6UDeF1s2A8NstwYwkvi8PLC/To7BWLBH Z7yWFHZ85TQ8NiRxa8OiU+rScLlu+czJmIG7loOth5k0HF0j64bmMIiSlj61 frM0VtWL1yhRDM5bxvknpkhDL49933UBg4igy5vfKMvgrZtY1vgKBhfblPQW q/Ph0TgZMtuZwdrsUyEFxNdOMWb7Sl0YLLO9UBhvK4d1CAuw38YgP7L5sbuv HCwLJnyD3Bns+LTwdV+BHHRjx90qvBmYSvjp8FTk0bN81HbTPgaDfI1j6any cLv9RSsmgUHB2tn9W+MU4HNk7ZT1KQZSuS6H51xSQNDawmaZ0wwaRyLSnt5Q wPGRoPjEZAbtBuVVh+oUULBofPLcJQbFVXP467kC3Ju2uXlTOoM1NZrTwhQF qGgvuaN2hYGWbtwTLx0Bmg6Ee6dnMlDn/ZOQvESA8Ypf/2bnMWhg7WfNIL5m n952xyufwe2g3qGNB8h73qMizvAmA+W9N89uiBFgJveoZcEdBl/5jqyYywIY NPdo7i1kYFVqaFmcJwCVazlJFTEo4joszCgSwNKae+evYgapUZEm5+sEsFPz jAu+z6CrOjY/k3h7w8dar0UPGHT/1dTs/pp4Pz5G80E5g/rK3wzGhonHG2Xi qmsZZGtuiVsvFCL1qq9X9GMGzpEa5u2qQlwNfLbCqo6BYg0vdpqOEEXTEyfq njEQfV/5Y9tc4p/+zy/jnjPwHEpKj5ovxON7DrftGxksbR9vsyO+6tgs9Hrx kvT/Mk/5yUoh+owCV5xtZlASmXNmv7UQQ1NNMze0Mljgtzbrf8TDY0/nT8xo Z+D24RiviPiPnZ78sq2D5BdSsR/Ei9J7R29dfEX6nxZesoN4V3H5xpMuXQxk u+cf1ycenSko9tTqZsB97H3lsIsQ+j0qK7p7GBS2nKkO2CaEqDB0ZuZbBkeS mVtTrsTfUe3j2/sZtB6r1FFzF2KFo/lL/QHST/ph21MS2+pfujXwnkGZ6tVk oYcQjmM/TuR9JOO1nxQ/kPGtj108fQcZXCtVVVxLYq/UMou5nxlUR2SvsXYT wn+X1szhYQYtKfyEejJ/uPnh8TtfGdjF/nPsDckvit/dFDjCIKFt6+RBkn/8 K4tbpqMMxOUsc7PJ+lJuXj0xNsZAPn/EdgNZf0YEx7Nkgsy/eDgngdQnz2G7 RfgUg0tmd4PtSP0KdWo0lv5kMGR6LzTpd+Ltr3rjv34x2H87fM9m4uH/A48d ZMA= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}, {}}, {"WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwU23k4lF8bB/B5ZuzrmEHZGQZjL4qi5puKSGRrlUIIpdBmSYuilCUJkbX8 0qaNiiRbEVGyl1KIEilbsr7P+5frvuaZs9znPOfcHy4q7vsdPKkUCkWFl0L5 /8/0cHe+RbvTVn405a1/84aCqiZlm83KwVyO55zgLzKef1Uaoax8jrtipGDQ uJ4CsYTH94XaE7iOryKjb5FxelmMEq/yFW5uVePk2gYKdIZ3x857Z3L3vRu1 EXpLwSexjLmZthxu/xvrq3/JWO0/waVT07lcm3SjGdFGCvauOLTvr9JNbpua +KkN7yl41Pzl+tjqO9xKC5PVj5somPKz6fzjfY9r3SfqvK6Fgiyi89zftQ+4 //UNvaG1UbCm/iJ7ou0hl6m9tOx7OwXfUyzLx3wKuHVJa9b8/UDBhd2zLqPT hVwB0SP++p8oaJrek/hbqYg7nftCSKGbgsPVigbDD4q5GnEXb7zvpUD2UnPd 0OoSbqX4PPdhPwXuWqD99H7BXbxbrWh4iALqdMjbsbAybuhcctWGPxQ0f3FW GFtbzlV4rqjSOkbB0TvCRSNtFdwtRp9YXjMUWCf08Y1kVXK9H70b2UchIH+0 3OmPTxX3aY+tTxYPgbLVR34PT7/kSnxzzzwjSoD/Y7fGkNJr7vwavUhHFQLt Zc8PDX5/zb2oWfLloTqBW/+lVP58UMs1a6u8sEKHgG2g7c6B1W+4Faynei3G BJIEi5P6vd9y52yCf4vbEyg4Yh0YtPAd94mHrO6bzQSuDhjLjIa947rsVPMq cCXg/47hPbK2keucMMAS3EeAcbWG+qftPXdP+WmFV+cJTIs9vnnArIn7o+PB pd5LBHpPXtv4O6uJq/Vn6QP9qwQee4dnDPs0czvyyoxt7hLYZmi0/Nd0C3f9 ggWvsxoJZNdmBvxU6uAWVU7k17KoGEsp1Oq60MEduvEk9LYeFRbedT3v/3Vw vykXB5Ytp2KQ9te5uOkDd2OD4dkLjlSYrLBdfi6qkzufN/XwYRQV7+7NUDWG u7hlwdVCDlNUMLiCrqJ6X7h+PsMLsgRpMFVPXB61+wtXbfdbFXUZGmLHbo6G NH7hul9ffOODCQ1GF1s83W9/5cYH9bZ/D6HheK2O9aKdPdztbDv5ckEe5D14 on77cg9X2F4t8o48D96nmNPYb3q44+WUO436PFDz3lKycFkv9/4rFl5v4kEt 7bQehfmN65PjsND/Bg+kV3xkvH3Vx/3cljaV4MiL/HvnPu7VG+A2LlaX0Wrn wwBj4IK12wD3zHr3gbbffNA4bL1SM3GAq7AuVu2JID+yzISze/4NcPUdo9wF zPiR8PqC17aXP7kuYU8Gf+bw43BP3B9LlyHuzOHPR7yCBZApXBchsfY3tzdQ +32HpRC8uY1XBgNHuW3Pfu9psBEDJWei+OP5UW54xc/5u/vEkMIj31l7fZQb oy18MiZWDDWvvRRvto5yp+6dP7X2nRg0nWZyPJePcQvsPNb5Oorj+x6NO5+J cW7T7fHISG06TtTZ1NfLjnNf7BE6EG9Kx0K9wF8lhuNc0X0f3l5YT8e60RKD NM9x7taL0olb/ei4ecyhcPPrcW6Efv9F7Vt0+CYcK30XP8H1FvVaoKsmAep4 TteLmxPc0bgglqyhBFI311DuVUxwKzRycn+ukkCtPHN1zNgEV6Lx44TxTglo 38irttryl/shU2JiS4oEBp81vatQmuRqdwiPtNAYOK34788Dk0muefBOwTg6 A/InFZnZ9mQsXcSSV2DAxsLH+XjEJLfvxN8V+UsYuPtursO0f5LLzv9jeXk3 AxaGatNalH/c/tqXWY37Gfh82UpeVuYf13NLQllHCANi2xNdJ63/cY/Pxxhb xTPg/43TU5D/j5u8tzza5CkDX1w7BMpf/+Muqin6JlfBgGP7Wb363n9cyz+r jYrqGDCp6w/+JjvFndAMW6D0mYHba5Iz/yyZ4i48/NWtr48BxVKLl7Mbp7iv RC2FPYcZoD3IpUtHTXFbr5zsOzPPwGEt56WsnClu+RvRBnV+Jr5f43HRez7F XVctcCJMjImGJI8bFqNT3JXxRfmr5ZkAnVnvIDbNNUpX//qIxcSjcxUjrpxp btuvA1atmkykhKmsPLJzmrv0k7CGvhETQhPvPCJCprkhT5kOu5cxcWz/iXNx l6e5oc7eilYrmfj9Xf9e2v1pbrhjd1+nORPu7l3NN+qmudX2u/iULJlo/hg7 9ahvmps6XNImtp4JS+eVymXEDNfsTVPhbVsmihuG1r6Rn+EOR56YHrNnQmdd ul+78Qz3X2kGbcCJiYxym4u9DjPcDKYQJ3ozExKmM49/75vhqqhlvGreysTp gtudM2dnuNVxS41fb2diQnc7VfD6DLd5PL/FawcTPjeENKVezHAvjHfP3HFl olO5eIPKhxnu7r+nPpvvZMI21SdId3yGG/u5vINNxuVMmSvL6LNcR5UE3Qfk 80YxNaVrtWe5j3h9d30j2/uP72ivvcUs917ji8kKFyZkTmgIubrNci3qBI9Z k/1f+Neq7xs2yw02KQ0KI8c3FxjpfDh5lrtup6PHVnL8AYNLQk89nOUWnOG+ /0rOr9fzW1Zs/Sz32Z9JC2kHJjZ1Jb5K/T7L3fVj3PIvmZ+aLWsG/6PNcbMe 3tl+hsyf6ftRiUeKc9zwS5cEysn85q+/Zvxi2Rx3slG55dZqJpRfOuyoc5rj 0gtqLVdzmUhYSY1o2z/HfXmcvz96ORO8Tx/k9UTPcReEblh2agkTA7foY9Nl c9ykhQ30U1pMuKiVyQh0znErLMZzzqsx8TZ9P1fy7xz3fMkcYanIREF8Q7SO 7jx3OukiWuhMaAiF3zdZN8/NiuLXvSnIRGqEbusaj3lub5sJZRGVieOHL6js uDLPtb7330HXEQZGhk0tfQrmuX4Vb1m8Awzs9vm599Dbea7uhphGt68MsPXY na+oFNwLFa7WeMuAkMppjS4TCsJXMUXKcxmoMbuoH76WgtgZ1/iQNAYit2QY KzhQcMU64+oU+f5R459abvej4KbvzQCHUAam5ga929LJOsCyQSx8AwM/O53z 3lIJJH5ZKn/3uwRuTbrf9xcnsDrp4t71HyWwR/LAU1F5AqLCN9rK6iXQuz66 Zv0SAlMzj1hLHkqgs7j0e7U3gT1xi2N2BUvgTYoGp+wNAYOAB1+/ExKILjBa tLODwDVNx/cRI+T5927VsrlvBCS235rl7aGjit/FymyeQP9dq4bKSjpKDsf7 PF1ERevh+Y/c03Tcdfp3834SFXt/dzeIUumIpddpZe+ioWuTsfyGP6IoMlYo tPWnoWm9+6XaelH0uu7nzoTSsDfy9PWNt0RhepfptDmZBt1spalQD1F8t3I5 JtpAg+uKVyaHWkWwOmLobbApD6ouRRgplwljclz8kIM0Lyq9kl/szReEqoL7 /LwqL/y01m4RjROE7ZqCc3cX8cKD7aHbuV8QuQlbMgQ28EK13TKYb7EgHPSz q0sjeDH1Tl4s7akA7u5ZLKv9hxd76cu79N/yw/2j0wvaGz7sc0nQ4WrwQSjt 676ADj58k+ERWyHOh4fb/OW7+viQz/C8FviXF7QPUcHFBD/4jiTRztTw4np7 sWGAMT8ub1TdYLmPF30tynmfyXtv6SHLLMtyHsRevrvJ5j4/Ak5kl1fe4cFS 5+W8xc/5sa42YPZICg+imh3dL7fzI+WD9OezB3ig2RQpbyMmgPmfu/g8VHng +24wvoi8N538axLEE2lgxAdzNaIE8OLzimnFCBqK7fh+JSYKYMG22fOegTQI v1Vaf+CeACabZh8n29Nwp96BV+ObALzOhGnEMGhwiul6lDgiAKW5olcONBpm bPa6UymCuGJx9p7tGBUb3px58UlWECY3Q359b6XiV+3T4MSNghDw0pO+nkFF UvRaTaqrIG6L+k4svEjFSuv3rfv9BPHV6tiqyggq4l7/NFwfKYjA7vq8Jz5U GNQo/iJKBNF94vkxGRMqAl6edt+vIQSx4KSUR58JKPZa8E0YCmEdX7uJcguB OqrgrTAIoal4V19RHQE2Yv6c2yoEfuccqYNFBDqKL5+4fl4I7L1uoUQygciO zWraKUJQcths1hxLwHBSpubBdSFUtVh5NEUSiFmSIf7iuRDMAo7HbTpCYNX9 /zI6hoWgsiBvgf82Ar8a9pjvmhHCPYG50mxHAmlDWn19AsJYLcbHJjYQGNe6 pzumIowb9KgOcxDIsQpoDNEThrif7pzacgJ2ewwPEabCmPhbyqNnROBm7pMS MSdhvDCtzCrRJLCpKnjX5V3CMGrN7FqjSoDWY8ojv08Ym+drtk8qENihXLae EymMmKeLur8wyfcwrebD6qfCkOh5QH1CECgtig6vrRKGlfg6/pRZCvzabVj2 jcKYI2+Ma/8oeCnV6OM6IIxqHztPsxEKAo0uiX6bEIZtWV9jzS8KlBydH/jR RLC81WXu+E8KguM7Jo/Ki0BzWmqf/zcK1O+lXZ3XFEG6d0BqLumLpvodiFwi gp22nTv4v1BwYlCpV8RcBBqfu+9cIj2iK9wddclWBPfWShyz/kjBB851bdnt InjwaLRSu4OCqHVeb7O8RdC/SfqIMekdI2/NII2DIhB25b2wj/TQ1zMD0vkn RND612aynvRS7PU7xUYxIqA5Bj/YQnrKtNLf9dkVEdhkSN/9v7e+fzWgmv8n Aj+BB18GSY9dpozm1jwUwcKy5lUTpN/MlQqt7F6IgD4m+opDxsMrjgy11IlA qOm7exTpvasuyy66tIvA3jeXwUvGVqHTRj29IqiN05i/TXpx4srzdp8/Iija 2EI9RsbXnh4P+z0rgrvlr1hHyXhj2yrlI0KiWPqXuTudjGfHaVWz0qLo5m2p GyTjW5KvvE+rimI1lbXTi2x/s+FZYWEDUfRRmKpC5Hh4HKzvXTQTxXbpMvl2 Mn5wQMRxoZUoDDevsn9HzudNKjP47iZRKDjoLPn/fPuqZDPNd4tict6+PpTM B2VY5WVbgCgOKyxSlm8mvSfD+bn3uCisvdcZ/SLzabTaQIIaIwp2qjR9hMy3 3T5j4+RUURQHyhZrkJ48Xb42orxQFO38pQmaXRRk/LS5ualSFC9XbG8Y/UrB Uymntz/ficJIhDPym/TkkI+7nPSgKHZ62oucJPeLQKLPqtv/RHHc56a45DAF rNID3uAXw49JHakOcr9tYhx/5MsSg/udB/g3RcEBs8iOeX0xtFjdD3KapyDa K2Y+cYUYtnu2VHylEXhRnLb+xRYx7BaMfZtA+vFDb06Ak5cY1gsrpT5mEBgT u5X8I0gMBY9NfhMLCWh6PO1hxpF1/9X/TuuT7495zAvBm1fF0DDiS2VwCLg8 eaW/8pYY5IafLNTQJ3BRuCV0z0sx+PD7BfwwJe/FR3+Yz6fF0Pv73ulG0pOS nyeXOQiKY8kjw6PrdxLQE6Ds6pcWR/Shla8nvQh4uIjdkVgsDjmNPX1Dhwm8 4dFe47VHHMNHIkvXXCHQp7fYd/qQOPYdLLFzySFA2bosPj5CHDdrj9DybhNY cteyszhDHHgwa9RZSiDDefdB8Rby+1llAcX9BJ4e90u93i2OkNy0mkMjBJpu BpYt+y2OEzum+LxmCfAcB99DXjo006vCu5ikJ5tsHTqV6bDrPnlw1WoqskP9 Bgw208G/mRnFvkOer2WCk1E76Kh4sfSNRREVZTx5vF0edPzUeSWd8oqKLzG9 yjEHyOc/7jWq+0qFYtaOzT/O0aE29ujjYVkaUqvsqrJL6OA7O6M5R94vWoK/ Gicr6Dgb2tipm0tD0YYLXXav6UiKUTkSV0hDe2vN1GwLHVat5a60Nhqkf6xa tG2YjohkxetbSH8miBplMFgSuK1IF/W7zwOWw/vbPpoSWCbH5/i2kgcPkg4U lelJwPli9AfPNh68U7rb7G8qgUqj2GLOPA/EFqsL1zlJYNLttqSoPS+iNy08 GhElAeGcy91r5nhxKnPGfmxQAlWRfL3vTvBjo8HTAO1Rsk5KW3FYJpUfiuVB F93/SYCHGXQ59hE/irsH3r3jZaDA+4fbbB8/RtgddncVGfDdeej0NzsBct8W bvDayMAu05TQHI4gVhX5W7U/YiD3fPIrvXnynrLW8hEvZmCb3GKBpwrC6Pzw 7axFGQNmHZreO8yEcXTGpabgDQMfrEoU/gUL4z53veXFbwxo9h9sdCHPYeVX GmutFzCxe/NM4MJREVCavqAkhIkXMdzbW2bEcPpHaXbISSYeCw4d+KYkDkFK OnXZWSa6vwRZeK8WB0N3a1XhZdJJ2TKZq6LFwY5qtLx3n6yriy+URAvTYW1a YZvTx0Sb7doH+ZfpaLDPurdriImx8dTx9P/ocNwTTlcaY6LCZvz54Sd0uFxe /j6NkETCkjHVH+10+A8/dL4sLwkX/eSTInISuHTtmstZB0nUCzrYG12RwMLi k88ttkriVkmZwoY8CVx9t1ORd5ckaDtGnEyfSOC/WbkvJ/dJ4j8TteaEZgk8 3ZzoEXpWEoXyfq8FRck8+QdWLYuTRPrMlcybsgyUn97Inrwsie/+ySclNRmo fSDSf/CaJJifIpZZmDPQKXzG179UEp1ZdTrjQeS6sDzqdF5K4mfzAqnXxxn4 ZrJK52edJFZh5a0d5xn45Tk75N0hCYuvu7Q1shkICvtoq/5FEr4y205fu83A ZELRvd4+SfhMWw92FjJAlB0KcBuTxG+ZwB8Rr8n6vNXxvdK0JEZPt80Nvyfr +aFFhp8JKbyaSFCV7mRAUvbX2DZxKbSu902LGWJA/aDXUSctKVha6FtKijKh u7zLMdNACpA3vFHJJD1G2aI/sFQKf5ZLjhvIMmF+warv+GopbFvYOGCuzoSV Q0V5rZUUiOWft/VpM7FxoWm61EYprPTVtlq7iAnX6zpOt12ksL3ku4GhKROe vrn6E+5S0FwVPVJGemmvgaLwKh8p+KY2VPCvYSJoIqnv/H4ppAQ38PKvYyKk RLyi9ZAUtOJzlEpJj508dTZdJUwKSXEeB3XsmDi7jgjee0oKzhytPfak5+LE QpyenJXCZzHxnTrOTCQ1j+hT46SQ90freQnpwfRUP+ENl6WgHZHUR2xj4vqu 3r7kNCk8bDdveUV68rb6jorubCmId37MaSC9+XCwJV03Two/g+avRZMeLXpo G3w0XwqXJAt1psm47Gi1U2WBFJwW81xUJv1avRIGYs+kELpqTO3/nzfwFAlv LZfCpscXzM6TcUvtov5r1VJYzNui3Ui23xl/q+JXPZmfnGaLerL/nk2qGcua paBMvfT1ODm+Afmrwac/SKE+ZcHGH1uY+NMt6fz2ixTuf/DpEyTnM5kXYyDb LwUps4uT//ftnD+fiOeQFNYvuvwhgMwH75Lj/fdGpZChd+xLEZkvkem/FVP/ yP7yNroW2zDBKD+QsZYijXeMBXlBVqSvo34Ex/NJw6q7TaJvLenbDe7OH0Wk IXk+dVjCnPQn86OBOlMa4Se9Lv9dwYReh6NIgIw0Wpat3py8jAkzz7WVfOrS CCu3Oc5nwMRq7dIMex1peAefjWklvWv9Z2nI1cXSCKoa4XdnM7HlmOaixVxp sL4duHhHhomDl4Uzd2yRhrNgr4bMPAOh20+H5LlKo5jhWVP/l4FTKrPOo7ul cct+4yH8ZiD+7i+RcwHSkDkUcjq+i4E7LxtDCqKlkZwc9YLnGQOPzltvmo+X hvzU1jarBwwU21cusk6WhlGDBtvpBunbTwXfu65JY3Sez60kgYHe8eRNws+l cXxa2PavFwM5qwyDPlVKoz8icO+5bQzsjGmIu1crjS5DntEu0rcf1HhfO7ZL o1r8qW2XIQONjoGmV0elcbez9oP1rARKH9go62otgOPYt4UjkRJI3kcM2CYv wLXu9Af3wulwKrrKp5KxAKfCFHkt99HB4DVRHb2+ABSdDS9rt5Mevervkvxw AbRe9Ry6akLH6bqPDV31C/As/NicVI84DnAePzrAsxAyNXsv3K8Ug/U332MJ AQvJ+v9p3A2yDrU4pnpnzdGFmPo48XibnwjMpTo/TIQvxN2OaIaqFVlHr91g sv3CQihscB6f5BGBVq7+qOqNhfj99bvdl2PCEPYc21PYuRAiglwp6SNCeNN7 zKndUgYzXkeuro8VQE3Y0ohoWxkwOsx/mwcIoEpy+IGZM/n5jyeEn5MAStbs Es92l8Fh0fl9dnICuHPdvNbnmAzYO3M+H7nNj5jd/Jh+KAOVcLHAl618sO2N 11ZUlEUOrzzj4xZevNHubXZRk8Vau6BDG9bwYn2QcXialiyWHqbY/dbnxTrq 53cLjWXx2PByYjU/L8yVtQ8zN8qiyiHp6fMiHixxeVkmcEoWtDtmhaYaPCi4 ttDX8qws2oRlkhqleLD4px8zMlYWJ1Ze+pPMwwO9EIYXLU0WHNaO0sJuGjRT dgrPPZKFoIj2MsNsGuSb/zmPfpPF20fvqCwNst6Q2zC/aFAWO/4wiMKFNMh4 ZOUdGJGFpUyPxBEhsp4YsZgempOFnB5H4uwvKuj0xKzvC+QwkmhA//iUitjN /VYainLIs32l03ubCtHM5aOeanI4Off1hlwmFUJ6X9f2GMghyuLGTqlIKmg2 ej8/WcnhRH7rskWbqDh16WSi/EY5NAnF1N6ypoLysXnF9k1ysDvBx+fApWLG JzS+3V0OAv4hqhwOFRNRNUuaQuWQs3kw4u8cgYFK9xM1d+VwPUzTmHhEQOli u29sgRwmDh9bG3+TgJOrrbPTMzl4d5Z5OGaRfptcpvWlRg7nvc7sOET6NEFX ovlvjxwW/VBXY+8jUD0VWfp8QA6v79Lj7T0JzFTP5EX8kYNtR736gx0EvNy/ HxOflwNvj5G7oB0B0+QXGhqy8ghKiR8dNyRwYPcSxpCyPDQ8JoPu6RL4b9Ht mYca8hg6f/VcmgYB+pukxpVL5FHbF7xaWJ7A2isiJTxm8vClq76NlSYQ4nXq v1pzeSyO+l66RoJAL8U/dNNGedivz7tiyU9ApqHHU34z+Xk8Y28ilYBt2taN 3TvksVEiOIA5R/phyVq2v588tj2R7b0xTvqB+kzcKFAe75pemjz/Q3rhncHU v6PySJHbEMdDevSCr/zbM5HyWCr/js7pp6DcOKFofYw8kt6YqvKR/pjgEbgu kSgP12QPPinSJ9rvj8W2pcrD4ej8XefPFOzKHD2ani2PZX7VojWkPy/v9fHw yJNHm1+QzF7Sn7XLujZw7slj5NCzqlWkh+b5nE2GC8nxntlMs/q/l5prWYUl 8ii4PF9zkvSnTzZEQyvl8S3HT3CQ9FeG/+O/qJVHXp7j06h3pIdNdbr5GuXx c77F3Jb0moBgzps3bWR7m9O55qTnVrQueJLwWR7+8ZdyvEn/BV6Lyd7yTR6M 97SAUtKHeQdoFxQH5SG8etl9CzL+tCL4cO+IPNhCxz0pZMwQHt516588dG2V k37WUbCufff6AxQF/Fmyx1KA/PxY7oclS/kVYPY9O3wTGT8M3Kg8I6qAz+cX rmol437uK6EKSQXkWC5I/L935UXNxqPkFOBs/iPMlxyf/YcHXRtYCniV00E5 To4/8oZGLZOjgLI4Q/ZLcn7PDqYXdOgrQMLAfNiM9ObvVczMzKUKiLy1cXcf mR+2+LlznisUMMS+da6czN+2zrkg7TUKYLy+sruBzG/czYOuf6wVUFHsOyVC erPq8MC6J/YKqFPZs/FYJwV6Eq0Kq3cqQPanpMP/vdkX03fqsqcCur4cGK4k 1ztd6G9/v58CTM0uTrwg94MIz8KHF44qwK93k+Nycr9UndBc0BWugESJlAdP yf0UOmsStuiMAng8W6Ldyf02MLHVovWiAty4YS9MZinICfK9rZmigP/+O6nq SRDY+juEHpqhgNWTld2FvARqfqR9ULqtgEXDV3laxQjkdn7y96lSgBaLWqdK +tJl66+mZ7UKGBA4rZyrSXqxdc5ErFEBy8zuxjroETj1Von26JMC5rjPZxYt J7Crwi15ZkIBj8uspHmdCCzkBs7YziqQ71eYxo9tBN4+O+WWTVPEbblvX/65 EVhZeE3bgq6I7fKqidkHCMjnfXsRx1HEaG3ViHA8gWa1CbVufUXkTLPMNqcQ OJ/NF220VBGfN1k+f0ueJ1OpGk4d5oo4t+ZW/rqHBNpjfL6zXBShRtitcWkj EC8UsuGQuyJao53MmV8JWEZFP6zeQ7Z37trv8QECj0/cDtt7SBGr7p2kr5wn cCloiP44VhG+C5P6/pLnnfXv2UMClxUR3d+2TnYJFdR9Yh+3pSliRuz3Cj9Q ccBLP3f+hiLiHQfXXdlMhe3WgGVW5WR/OswSzbPk+csdd+scVcTyAdF+7REq jq7SFHg8pUi6zcAtiKChb/X2/DhCCdy72YdH6TRUrCufMhdXwjBHfjLdgIYQ h5hLN7WU0C9mMJEZSMNPT/bLw25KsKlJc6gheLBtzxa/jXuUoNwyXfVIkgc1 vucltPYrYceXQeMO8r66vv/Pjk9hSnidWmD93pYHLsHPJ1anKEHNbIVDeCYP 3lxw1pR4q4Rf0utcqtfzYnnc2YaBFiW0N9zo3+zOi7yLzw5WdSrhm4aHsmow L04nqZQfGVCClJfSS58bvFB8N6EzTFVGQ2p5TQ8fH1o7Kl46KyrjQIi8z0wj HyyHtv1lOStj4I6wWsdFAWRIRjQd36KMlfu6rcTvCWDM9Pa9zu3KmNtQMnL4 jQCyoqe9k9yVIa51+kEHvyCmNK62Cx5QxvawpoMypwRxx/1T0e9oZfh8dXj/ 4bgQ6O07w0rLlPEs7vTRh5dF4DUftUWuShmMfbyzY09EUKJ+3+hotTJK1vFf svkgAp9DlKFFDcrQEZmrPqIkigpG9o7cj8oQ7qO5nrgjioMbuldemFCGrJSq TV+1GNordhPbdFSQdn7tJ+FQOnkefJA9pq8CEVTo9UTTwV9uZ5S1WAUfD9lr 3kylY+mL5d59Jio4FhjctaGYjsRn9PrAtSp4oX7R684kHXYFJSnnXVXwvFsw PP6ABLwMFz/Md1OBlmCxOM9xCYQ/vFHXuFsF+0O233WOkcCd+wlzC/xUoH7q 0vvYmxIQurtn9/UjKsjlL9c3/SKBV7mSBs/jVbB4bMuFuLUMfFaLtvpySQV8 rTQpT3sGxq/Nu9OSVZApxa7g38GAWs7AZat0FWw8qmLiRnryVEbZdMtNFdz8 cKhQPp2BVIWlUv/uqODM7dYLFLK+fXD1tp78fRXYv6rYe/s+A19Sk9zcH6uA /0ZPvGMlAyuT91b/qlBB44O2gx9I52+S7v4i8Yqcz35WWg/pw32XN08ZvVbB HN1iZ/44A1cvmeuGvlXB3relwpE8TBQwnlpkvCf7d/C+clGYibqLurvKW1SQ FxUn7sJgYipu4SX+ThWsbOalaCuR3hCPvaPVpYKjDjeU9Mj6nxNLe7WhWwXP 7PYHDpE+2HLh1+Sl7yq4kygzk76Eif3CuxlPfqpg2tyuPWY5E5HRHdoffqng 6gqHxcakHwvPVrkqj6tA7pvXrUeWTORZ1y2MmlTB6p49/s2kF1NF3r8fmibX a50MPZP0T0xD+wWneRXs2xTzkOHIxIn4LotnVBZqZKLvXie9GOTQR2HxsZBZ Fyb0nPSVl+RQ8VlBFly2Lfx8bCsTW1tHDw6LsKBg6evfT/rMJmVKbxOdhXnG CWKK9Bt3G/GjhMmCMtf7UyHpu8XyAtdUF7Bw1UZ3nRzpP7XPYjuiZVm4VNIV pUXGC7KkFvxRIJ+nX+juIZ8Xcpdv3KzCglsNN8OSjGdUVc+XqrFw0EuA2ES2 P/yNs5atycJhv9GN4mT/3TcM5s9rs3Bmi1hzEOnDFh/johE9Fp7ne72L2MRE jfbKoK2LWVgxLHiBS/qweGiNbtkSFlhpvBtu2DNx9976fvVlLJw19N76zJaJ rACH7BgzFmKXmf0NJfOXYLh1+xiXBQe9hL0/yPwefeL1ttyChdPfJ8bryPz7 Be87p2nNgt595aRVpO9dTQ+ujtvAgrAfoe65lPTfi5NPXJxYaCpV0H2izcTS k2cDKjez8HfrQYM+cv01V8dpa21n4dXgE9Mqcn+IVV/N/OvGQv2s6alYcv8Q 565tdfVkYXV4slUoub/GrG8xX+5hYVZnY2MBjYmOhidRCftZSMpbXfxthIHr re/36x5jYeX7CJNn9Qwkp3RwEk+wEFm67kgxud+jt33pmYpgoW//t/VBRQzs /zy0uSaahQ87tJOkrzOwvE8AHiks1ArG1q09zIBunvjU6zQyXxWFLYa+DCj7 ShcYZLKw68kLo2/k+8j7S1VzLpeFoMT5d0lrGHg3vpJ+5RELxiVNGZvFGfDi PfSloYEFAUv9CJc0CcgqvW6bbmShP4ZbRyfPhwYThbeaLSzwJnlrZ4dLYOne l89PfWQhY8nyjdvcJMDXJJW29DsLaZVn/1izJZCb9dg5g1BFam7lC+E8OnpN J2v3GaliRv7cqXyII8XZpiLVWBWmhTcXZCmJw2Z/VlH1clXYVYtGR8+JoSBn XZ7KKlUkVUfJ2ZWI4bTglTMtG1TBw02OKDYWg1rbMqzwVoWbWdXUUn1ReASG FoqkqiK2R/Hbc44wli7+XMhJV8XnyGhtN2FhCI3gsUWWKo62GL1VHRLC/QC+ Jyf+U0WPpISU4AMhzBy4+HTsoSrOHQse2LVcCEn7bzzrrFNF2XyiyX1HQfjo C5X8a1BFiEKN6yljQZgN7y2Rfq+K5d57joXKCaLHf/Hzje2qGFIsie7tEYCB //PSql5VRJ5YtSTzsABe720qvzOrCn1pOwuV6/y4qrO04jVFDQUFwufyo/lx YDCloo+mhhN0099ZAfyQ3utaqSykhszDjgES4Ie734+qRGk1jKie0FPt4iO9 NF8dpq+GPLNAKRl1Puh7azfYuKlBdAktrbaNB599lPbf3a0Ge++CpV0VPLiw l0kX26OGQE7sYtN8HvwImLZ/668G9tFTq0vO8OBaWF2LfZgaLOw6un2NebAg we/TpmQ1WHPav3nk0vAqcWf4k1Q1bDko+FApkYaDyY5KCzPUYN72yY4ZQUPj VVO3jutqWFk+nZrtRsP5G8Lftj9UQ7ReV95mFRrmS24P7qpXw8OTpU+YpB/z X2TGlL9Tg51/ib15OhUuFZf0WM1q+Bfqr3Yjjoqi6tADPR/UwLO+mcY8REXQ +/Vjnt/V4DT488oBcypYLdzLr36qIUbq3fcNS6l412a4VGNYDWKEYfwuLSp0 P8kd/T6uhqP7tx1lM6no7/857Utjw+rzwXStfgJJA11X6/jYmNiQmHmvk8Ca oaYVOkJsqKvMyvi8J5A98uz4EJ2NTPN4/uBSAttnz9MOKLJh9x9RKHiFgBDl xPV3Kmys83qwR5+sH59SD65dxGZjVutQwdkoAlICLlEj2mwYMhWvtxwm61GG jvChZWz4lDrxvN5M1qP79v1IM2MjUObPsZmNBPKr86sruGzkEe5wsSYQG7bo NN2CjUT7Lb5ZKwjMtQa6G1uxsZrNeXLamMC+RQVwtWGD6eq54PIiAjZ9S2dv O7DB1/a4c5k6gRIc/fjemQ2ViAUaDcoEdNKKiv5tYWPD3hC7WDkCwhvNDlvu ZONt/SeeBNKftUWrhrv92OAvXH4hd56C5ZIR9YL72Vi/qH5j8jQFt/yrbhsE shGRGne24C8F51Qt94QfZaNS2FQ+4DcFk8fOWuSGslF1fP8O+hAFe9pfq70J Z+PWU9/ODz9IX8XYfJU5w4aMvY3rnx7Sr/0xL3CWjVT5cIsVpE80zN+me59n Y+y0qHEB6c2kq/Sw2Fhy/MhibSI9w/fXflvhRTYUeDqnWaR3DttfMulMZKMv 0qtQtp30ze1maVoKG0fCv61a0UrBJj7pcU4aG90nLx0+00zBy12bmzZmsGF8 2HfZKOkto2cpD45kk+MdufL8POnP61If4jKus/GppIbHjvSZ5AE5/5c32Gi7 kk5fQfrtdK2LzeAtMr92L7qdSd+NqWVoMfPZeJ7dHHaF9J/H8S6B5Q/YsN98 +gs/Gb/vUO7fVcCG9JJD4tmkF82N3F9GPWFjJ8VW2PP/noy9di2/mI0T4YUt jmTM+tF7suU5uR4HHQ7sI+OE1eq7ZsrYSM+r63xAxkSG90rVKjbQVS2vQrZ/ YDJP3rqaDZHPQ4uekfEXh4GpA7VsOPn2Kpwgx7fxrnZHcj0b+6wcuveT4y/j 3/ek9B25Hvh8Ipqcn4F7/uVvTWzsktKffkvOP6tkOEikjczXhZ8OIP1JX7DI wfADG6f3Fp/7SObveECgwbZPbKQFm2dnk/n9VfdI7OQXNoKDtdISyPy7qo8P 3uhh49AimeB8cn1Wfjxyc/wHG4yu3H6vLgrylxRFyQ+xsW3nxVBaNwUK8VOe q3+zIX5XcaqW9OjMmmOsixNsiL4qev5hgIK9maWUp//YmJeT4lMlPdr5b/7z 5xk27jrd5SaRHn2WfypNh6YOHz/TVaOT5P6wcZZN5lPHsqi78oakR+1/aFwh hNQh0/H5ci7p0X7V+qRWujruG5YWsoQJLC7PlFolqY5nr85H6tIJHHMNTLy9 QB3Hrm+28pMiwLyyIOGEojreOXH+HSffH9elA/SfKuoofGBL30y+XzebSuKc 2er4t+/BPjcdAlwx9xgtHXVYyPjb0ZcR8Iu4c7Z5mTpi647NtJM+fax8nJ+7 Qh08BZaXbFwIEKX2kTehDk12/cIxDwLJkxMR4ZbqYD+2WtMVRKBy36rjms7q OKta6auZREBMWHIuYYs6hLtZL1dkkr7O6wub3a6OGIeSx1F5BIa7z4e8d1eH oevHR0XPCMhtaT0UdkAdEbFnBY71EvAazxvrC1KHjqb3foNhAg8SQoPsj5Dj 1TN0lpkivVqvHKAeTo5HsnbRBTp53pr77X13Xh1/nALMprhUlHat+Lk8Th0n dy3L22FDheAxum9ugjr0CJdnf7dQkfmk0DvkijqMkvr93gVSUadD8VC7oY61 Ckm0hTepkK59/zX2ljokvtx/YvSECjfv3F3/7qojd9cl03Mvqfibbe3aUKCO o/p9Fh+6qVBdcHnr0Qp1qDFWBSsr0xBKaG1880kdQT3XwpPI+6hvjXC7+ld1 GHtfa5p8TMPGs4M7T/aS7TfLPEuooUFN/N7+pT/VsftF+cl9gzS8kTeKy5pU R7XJtvtlS3mgaLKy4SBTA7Yp8bk/W3hwNlRp01tpDSyvk7/TMMCDkVLKZ46s BiIRbDEwz4PqtZVDn5U1kLju3+E6LV4ccFwnaqWngRytwHPGEbyo8HewUbDS wMq33LARLh90Hho2H7HRQP3w7GzsFj4kjUu6vLfTwOFTlc/cA/jgF9bmF7VJ A6blKYP51/ggGe1y/o+HBlhTLdpNQvzwyvWqfRmuAQ/+Xx7MHn4IdYas8y/Q QOrpyzuPlghi6ZGbonFPNBDEpcnc7RCEG6P9/b1iDRgPBizl+yuIp+uW7PhT poH79+rfsxYLwatwOOBgvQbyBrr4R24KoTx2d1pInwZiLh2RtskUxtFVtr8i F2pCjB36d1eWKK53hj26IaeJna0JrSgXxdsjt4/WKGpC5cSvLRrdolDPF6AJ sTWRIy6oQlUTQ5Ns5YKYRZoY2/nrQeUNMeiNGa+6ZK0Jj/eX9ivmi+PbfyqJ mWGaCFx8gzbaSsfg6a//aCc0sSn35NqX/XSMuGfv3BOhCem8lB+hpF8pSira i6I18Z96y4KLMmQ9mqxcUZGsicvnxi2XbpOAyqEvGhppmlgxq9LG5ysBTces mPMZmoi9ZGb5IFgCS8SVtzrlauLCn8RzsSkS2Bil9PvbQ000jHHfr22WwGbP Lmfrx5o4Pm99vaxbAq6rM5/lF5HzeTHeIvRHAn7zilFHyjSRwYlYICDKQOQR RUXBBk0Ea7i6+pszEOP8OWJfoyYOLNx9QdiOgUTDjB+NzZqI69tI99/OQPaw QmHqR02oCbcZHyf9W+KtYKPzQxP9wjvaHmcxULn204P4QU2sD3OL9LjNQK1q +oLxYU1cuW1WXV/IQFuXfM/zCU20GO+Xb3tNevt55zrWlCaWxlRwDzYx0Jt2 NT9yVhNuCb2Muk4GRjbLh9jxcEBNv9CX/YuBf0s6ux7xc9CXKjah9JcBiuTV tQuFOTiybHOT4zwDou/kJL5KcHDCykiqQ4wJyfyPh9dKceD3qOqspjQTshfS Om8u5KAnn/mdo0D6Z51cXqASB7vXf4taSfpXX/2jaBuLg85ejzY7A9JLPGlB puocVFKuGIiTnjLr3taRyeHAPo2aFkp6a3WZLJdHl4Py+4qKiWDCOuPD9T0G HFit8CvfvJaJjWGpQvWGHEhN3hj+z4qJzdu2HVhkTLb/676vxAbSayayrZeX c/Csbk0QeyMTntIfTKdWcFDA0jTqcWBi79iVbNdVHNRFKbVbkz4OfL+Vv3IN B0Tc8DkX0sfB92X2aazjYNsbl4MLSR+fiO14f349Bx1N2hXhpE8j914x+W3L QfgylYw40q8x1lsznBw4sLtIGK4nfZuoKcNT5MzBhv0Xbz8gYxdX9Rs9Wzh4 LO16q4qM1RINrcVcOPgkNPkqhowHX2PIZCcHC9Zw1ETJuGB+Q7yHOwfFxc96 zcn2w5ZsN4z15EDWO1hbn+x/jd+e1qd7OIhdpSP3nvSxSPah4B4/DvaaZ7Rq k+Nvbj0lL7afAwH3KyfMyPldFYl/YRLIwdOUflMeRyZ2m6e7exzioOmzg3YE mR+do7d4Y49ycEcnN6CIzN/Y3Sd5T0M5SAvJW3TDmomSnqr1PeEcjJapx9qQ Xj4t8/6X6CkORCZ/3Ly5mgnmmUEjj7MctMh43zpPrt+H4n9tMec5WDRe0Ew3 ZiLnN1/o01gOsnP2W9kuZsJXXVKx5yIHx2TdtNfoMrHYRaVc9DI5P2fH9BEN JqYu6u02SeGgwZpesZXFREW1Kb9HGrmel/uX6sgz4WC4acPTbA4eqPrGR5L7 UdbH43f3dQ7YuhwdG34mujMOXBLN42D4n+RkPbl/A4XOd7jnk/PJmX0v+JuB hK8vPEWfcdB46fPhMNLT2xbUC5iUchAm9/bQiioGWBs+3HYv5+D6b0KoopiB h0/H/jyp5uDouqLrMjcYeB/HCXdvJtdHYvkZ+WMMSKy8lPRkiIN76mTxosRA e1DWsu7fHKzNMMZNBgNZN+92ioxxkH5k9nMvLwMGUjUs9yly/JIuQ60/yfNm cCZfhF8LnvJn5hMKJRCf6lXtpqyFbpWca8WrJHDk8KmgMFUtqIgVOf9dTJ4/ DhlKyepaUHfyvrZATQI6Qq1H3uhoobFOeY6PTwKvg9dqGi/TQs8xDU5JDR3U rWrnRBy0MBB7WtrFmo5DC7qtn0RoQdTDvu5trBhcRmcnGiO1kPnmtMJmfzGs eStzbfCcFt4rijt+2iAGRpT9tEq8FjalvYn6KSKG/Imy2xeuauHeK+/xxedF 8b0lU8S9UAvjR3jrL5wTwbbEHQ0i/Vr4tWyFZFKqEOQfCcn5DWhBxGRQY2uI ELoan3i/HtLCwvtKvebbhLBbnEFEjmnhlAGPaIysEPyjXxnOE9pQ83BSEU8X xKkT+lf+yGtjUvLKFvdbAliT2fnNTlkbRPGj3V8vCIC/9NzifFVtnHBnjl/c L4AL0z11vlracP9ycWv0EgEkHU6Z6zHWxsAJAYddVfy4uZfY3eqgjahhDdPG IT7sPZ9/32iTNnolIo6ONvFB79b22YSt2vgRudDLppgPD/sLk+x2acOSGd+e E8WHEnff1zX7tHHWlXj9TY0P77Y06T07qw0PQV/rrz68SDhyIlTmgjby7Xrt wx154ZykW3MkThv+CeJqTit48aEpys0oSRudT6Tv3ZLgRa+tWeLda9qA0zPC /zkPJtfk/sss1cYexim3PiUehD3LjKgq18bvTEZCoBgPKItTRX9UaSNulJ2v P0sDv1KcyuI6bRz6HLvN7CMN0v+OWlW1aSPQ5fiu9Cs0GN61ufL9NznfV1HE PiUaHqtaqoqOaaN9Tqx0jk7D8tRVdxf91UZpBUW3jEqDedTS8pBZbTz//Kmp sY+KjW7KP0SEdGDl5By37AEV/lJjJotUdUDQF+OTLRUj539VOKvrwMT7tK7H aioOUX/YhHB00LgnxGmBCRVhw592Verr4MlWzqAgi4rzr6vPOpvp4P3RkAtS k2S9igpGCFcHu282xgv9IpDwuORqhrkOEt3CBHTJejT12oP7/et0ELL5+q9/ 7wjkHUtrD3bWQVMX+8v9O6RXxy67Z2zRQWcT5bXYdQL3feMHK7broFany/VK GoEnm89QRNx1MDN9TM/oPIFXi/ZrZvjrIHmVRNyevQSs83weVgTogL7y0xoV TwL1irvN+g/qYIVWkzCfK4Fm4a0bDUJ1MJIpccWR9HfPN/OjFVE6qLp+a/Xs UgLmmQ05Wud1sNR0eiLZgEDWlm31CbHk/Nte//XUIj1QF8DyuKyDj8p+mWmK BJ6fnrWpSyHz94bKpskQkF957ojhVR0UhOQUpjMJfLif9YZ2TQc6XyIK/QQJ LPPV+ev3nw5yL0fTMnkIpKg+VWm+qQOmjaosL4XApqS3h6/f14FxUaKrD+nt Qrvt2SIFOsjxX+znPUr6VLC/7uATHfiyBmeTh0lvhs4pry3VQfCpFUHx3ylY tCR6/d1yHRzUTTXa8o2C+F9Sh6Ve6mBJ89VlDqS/hm9kZx2r0YHkxI2AcPKI s3XTrftWp4N9DMU3naS378oWjW94S+bv95IFnqTnRJrXKD9+r4OJxoUR8qT3 /GLeWSu26pD1jSGFj/RgrYXLocgOHXS4PolXIb3IoXzP/NWpA8f49qX7SW+f LQqq3fSFXF/312O/SH/2B86PlfaQ63Wl5E0W6VMLnfNKGv06+PK3t+w06dfc b9LWcQM6+IlDTamkb3kycw7+HdLBpHEWXw/pYY8tepk7/+jAMivFZQcZV0gU v64e08GCFRfbBMlYpW7tmP6kDv5rLAn+XkfBidONiinTOjBSsV37j4y7Vuyw osyT6zV8xMyMfH7l3+9Be6i6sJnb6/Z/b6ffP5jxjlcXjoxdj7eQ/c/4UF6b COpi86+IFYvJ8W1XvTCaJaKLy87C//7/+4HizgWKgnRd2ApzfoaS85NJurYu gKmL8vfi0v//+/ZRO/2gDmld6O4fCY0lfd0m8Cx9lawuGq/RlDxaKFhaYVFz U0EXg4aHCd82Ci6Hvh+RUNFFaXcY+1oHBWNGrgoharqIDLKOESPX5+GNQ4HW 2roYs+RdFPaVAgk3Iv2hni5kGFsCwklPH5CNqZZdrAuDOrO5//9/ql7Mdfmf JrookLcJyyE9HWNhYOlopouryYrmu0coGJx/FvCMqws3B4foLRMU3ApsenXe ghz/i+6h9jkKBHV2/hm10kW4mLm+J43Anm8Dci4bdLGlhZ+rJkBAfQs1QMdJ F//R3kiZMgjkrFgkV++mC/+92wvqNQlU2ApFTO/WRZ7Swedn9Qh07+wZ4Owh 8zVanHTAiIDqqcvFkf662MZ4+vcVCFx/9W8rQnXR/+aRWvx2AlVt78v9w3Xx W/nkrkfuBHq/3+akn9SFe4XFd5ovQe5D13//onQxS8uS0Q0mkGtXkfIoURex Sg0F2VfI82FXGqU7WRdOYdnEohwCfQEH99DTyO/vLaH+vEWOP1HdZF82ud7t uSFfSwj81x7dpp6vC+Xkjb1/u8nzyc1ROrVaF6OBui1fjKmoCdQJr6nVRXq1 6Bl78nz8HsHbN1FP5i80POYPeX5q/vek0LGZXK8PqaJlXlTcHJBzFv1KPr// 9MUrKVTcCuq9dGJKF4efmH924qWh9vTz6fxZcj9d2jj7iknDwOUkj08UPaQd EvvPj0WD9tN1hsv59XDEgv/hRtBwZ+bO+1GmHiY9X7F8wmm4e+aQhLeuHsS/ +Ix9pfFg0GzHqTMGekiavHR0oRQPeZ6uGb1mqIdVZwqFjqvz4Ja7ZMuXZXq4 sjUmudOKB3ncRynbLPRgf8ZJ6GMCD67/+61ku1MP6pmeQqO65H12vz1+r7se ljIOv1pkzgvVPWXEeU89KBw0Pp+9iRc5rXE91X7k58PibY4neJH5SO/GqqN6 OM4v2SfVyovUfXv1llwkx5v8NyMjmg8f1JwyHRP14BvEu4k3hw8ynab0wGQ9 1KxXFE4r4kOKtfBIfroedsUJdTr84MNljVuFmrf0cDOXIvHbmh/xX/vN5Cv1 sE939myZtACinD3W08b18OPjlNuJJkHk2HW6eE7qQYiyUFR9VBAlVs7+1dN6 qKp6GjDOEMLICsuL56n6UJ1czRZzFIKLunYbk66PV8eeetJbhLD474i7mrY+ qstb6rO7hPE55VTIWjd9WGaIz2SJi+FfwvT5G7v1seIRq1bBUAySMQfTBffo Iyb7dm/aJjFYnfQqq/fXx9zY6reJ6WIo8LHm2xSmj1/d8dqW2uKIXs5I8ErW x6e0zVWiLDqWdGbfjKrXx864nD4Tsh6k6+2ZvPdOH7bzp7UtyXpx8LieZXuT Ps43U9Yab5TAddVnvZof9OH6Kvvp030SkPRrVqrt00ejX+IE64YEfpek+o/8 0EfIrQ1GLLL+fCPm9lx2SB9ex7a9maqQwOmHQ9v8RvVx+u/6BsPPEpgKo63n oxhgpnR9x39kffs91yswlTDAnW2ZDD2y/m1teH1Fj2YA06d6HpHaZP2sHP99 E58Boo8Y9v23mgHfKvnIGyIG+G1mUhQXwMCWoeN3TcUMkKlQ/ycqjAEL6Z7m t+IGcFpBC7GOIuvxPTdVJxkGcJ88I6V9lYEO4aXl62QMIHZpXal5JQOvjK58 75Q1wM9s66JDbxgo2DEjHiBvgOm9jmZ7WxiIv1fhekXJAIsmbh/O6mMgvJ0d qatigGymVFgn6d+9xLm75SwDNN5+kts+wcA6R7uZH2wD0IQ7CTE+0qthD1XD NQxgu+jIqbWipN9ypdYzOAYYjA+vXCbJBOXvxyvLdQzwsJhH1VmFiV9K3PIG XQOwe6/GhZCe6VyX891d3wDhvM1btpLeqQ3gpf81MIBbw+Pc36SHnqbuMT6/ 2ACHftmnc02Y+K+yzlXJyADxBWuvD5qRnhzUi3y0xAAHtzIJiVVMnJJKuGtp bACtjxs+/VzDxIGV480fTQwQatu34tg60r/eW2b2LzeAQU29xsv1TNjEP1Pl MTMAc8d4ZqUtE8uLFNenrDDAkIrt7aP2pNe7TwbqcA0Qpf3atpf0obTwtytl MMDt2M1xfJuY4DFaV+5kbgDWroGALtKXIy63v39fbYDHBYHT/qSPv5wRox9b S/aX/dWgkPRpQ36AsYSlAbYu11zwkPRrSVuza+46cj0SjR95kr69RTGJXGZt gC8vKULvyDiFk3a3fr0B3n09qPyHjMdGLXIjNhjA+/LMhv//f6xd6cjVZXZk +6d0T634//fPZiQObzSA/iX7SneyfT5H6wu5DgbwefRwwWKyf3eFiYjtTgbo qU89c5v0cWl/dqjEJnK96x2Zb8n5yD7cEFS92QA30zWqrzoxcSjsn++xrQag cHbdkHRg4p1FrrvhdnL+2yyLl9qRPpaw3/bDhYwVNPhoNkyc/Thjn+lqAIEd VheDyXz35uZZOe8ywCvapFsquR444LRK2N0AP2bCwj3BRNpyyrJyDwOEGLKG PpA+nvhfRXYeD/X2xgHcjDFDjGWGZMuSi5Dm+/2WFqpPUrm4XC3aUJZCUdki VCoUZUklqSjZSrS5bqSs8Su3RLr2EiItpJK1+p375/M683qd5zzPOed73q/h 3BAFbyf9SqIKJ0yJZ+s3GMzxJOODb7LDKCEKzotr9XiR83P94HZ7IyGkPG4q n98pwgtRhna9rhDlY1yexG4Rorq2/vx3uhDqVXd+luwRIdPwwzpXOSFC4ly+ 7/UT4fLh14oXiYfn6hS97QgUwSLlrbn+qACxH107k/aR/Rvyrm0/2f99RfyX ViFk/lxTu8NvBUiz2V5dGEb6Z3pO626jADJBildPHhFhf3uKZ8U1AbyWlada RIpwnaV3tTVNgCopn6SxKBFeT1SeuHlagNC0qsMeMSKsyJV9nkLO80Ct/zbz RBEcH6jPiLAh51W1QePjJRHgXzewjNwnOm/DlTLSRfi3UnXG2XoFHLhpwN94 RQSTTI/QknIFzLOMmKrKFGHXbWWzsAwFZPjObb+QJ8JsbSu7CXcFHCqPS7Ep FmHshlmNWpc83neWnxkvEaGlgau3vV4ejpNfE3NKRSh/e1n/7EN5GJtujhEv J+ObEvQKLsqjJU8v9H6NCJc+BNzs3yAP+lzZFqMmEbQenTpnf14Ofb7DM6WH RCiJLrmq78mHwwldteLPItx6uekPdUs+SnM3KHt+ESHiRSB7pjYfp3seyFWN iJAru3uvfbsMsClWLGyK3AcDaZGpf8og1XJW93spCsG7KoPSV0jjD7X1WU90 Kaj21g6Er5JCSq9J+RY9CrYj7A4lQyn05ku2f9SnkCcd9+ZfvhTCUSovZ0Sh NC457cVLSdzYPit8LUVB7dk9g8eekph2a3hNxxIKye19cS7JPDjur/P1XUYh ftfcV9IHeMiwyDr+ExSaJ4Kc+t15WPRy40MtSwqLe4x9ZtM8eE2Uzd5uTcHH NzGl8zkXtZbxYoOOFK5PZujrKnMhkPVSO7SRwla37buqxbhwaV5uKr+ZQvho L+vsewl89x7ZRTtT6A6xuVX7UAJ6CU7N+9wptOzkvNhHfBzZaljwaw+F9KdL lfv/x8HzDM7jRD8KnXejJkv+4kDd51WPdgAFd9nRr2UZHNz9eUrFch+FrjLl HqcDHHTPGo88Hk7Bwe8Y9808Dpbvrt2iEEPqM9JYxckXx0TLwKrqWAoLQ7Wz jl8QR+EKGTr4JAX6yQfhylhx6Kk4SHYmUNgfkmzt6SUOmeq2wtxkCvfLiz7b 6YujxuRH+pYUCo1rHQVnlcVx6LzmCdlUCmU5ZU8UJcXxZbeHa+AlCjk63tnV A2y0qAzykUlhl1hV0cObbCRFyo9/ySL9iX7jVHuFDZshujcrh8JZng2Pd4aN h9XBJdJ5FJ6++TZkuJ+NzD0sz+bbFKZtdK5grWJj7yPF8t1lFH6stn3/fIAF Q9GCPO0KCidrPmSZvSb+TN2U3FRJYagn/3B7E/Hf3jSfxTUUDHsTtErKWTBX M1DhPiX7oXVsajCVhe9R1pziZxT0T0stnDjFws3PPkO7nlPgTdfMWxTDgk7N 7UcNLyhkLojsWRfCgqSfmf+lNgq+87wtJzaS93i7s/OfHRQkDzX2ZTqwELYq wkr8FQVHpRSlo9YsDKo9mun9hvy+z72y1Zy8f6P7pdR7KHxiRSitIT52HZYa edZLIdFQN/3HXOLpGru6ee9I/z1EYoOzWIin/Ir6ByhUORbcoImPV188fSX1 A+mPctei6zNYKPFrCRYbojD1KPYyJctCQMeE293PFKLOqNgvJz42Xq1ht+ML BZmvx44fJT5OV3fT/WeEQoT23FXpk2JYzBiZuI1SqD9oeeUB8XHT798WjI1R CNBeV877JgbJ4Ggb3SkKPa9iOZqfxJARZ7++5AeFx3/UcD8OiME8c8bWP39R mH9d91hvH/FSw3X/cDYN9dSs/NXEU9PeBYQLODT2n2pTu/dKDJk/zaNzJWhw axYMrCX+WqrETVzKo2H5+06hGvFxi1H9+SZJGkXGmil84mN/i5SrO6fR6Dws HmREfCyzyTVfTIaG+ebqnEDi4+w9hn8n82msr5U1GSA+RvTXcmM5GtfbEiRi iBfbLpY+qZSn8TDrm9E64snAu1FNGwU0FBa/T7Mm3pR9YvdqUEjD4JqGkw/x aG6X8rtIJRpHOeauxcSrFqNdw6rKNLKcv+RRJO7gX5+8NYOGfM2nRS+Jb/fp BkisVqWx2r5dMpPECmbmcp1qNOqmeU1PI/ENBwmVAA0amtOWb6si8SqvZzpS mjSqXYS9wv/+bz54zjhdi8YS1ZPpCSQOPbvNdL4ODb7dxkRTko/ijdmom0Wj UPq3QkmSb0Hll99df6Pxt0e6JJesx6r1/tpRPRpndwaeMCHr7R6KdI4zoNFo 4rD4CKlHONfOc5YhjeHKbgGL1Gu6hrJfsREN/4X/CvKIl28xXaH2c2i0XG5Z EEG8bG19LfKtCY1s/rlDEcTLvdv848NENJwTH/bntYvhYLBZigJNI2LxlC+b 9PNO5tO8JfNpHLcvuq3VIwbb+8l/vTClwTtgrvrxrRj6GraWeS+k8Zt7XUX3 OzGo/hpuPGtGQ1nqouyaITEUKt3vMFpCo1XLsOkJ8bOdcWRfxVIawiubVPYQ Px/dNH3i03IaDbHz3RcTP8/c+1o8cgWN5bYmx13ZLNyLzuWrrqTB1nP1LeSy 8PHuYu1VVjQ2N/KLO+VYiH4ibtTxO41XUy+WFSqyoPXmn3n+NjQShnxqi1RY WCe71SrNjsbGzpsq0CXnVddgzbw/aWwRZXNqZ7Nw3Gx4yxMHGp6TPCqUnM9S r6N7vq+jEXgtO367GfFyVU6y3RYaG+Yd0F6znoVnxmOZHU40Muvl0lScWAhJ trq704WGoWHzTBl3Fuq8B+qjXWlMJHR5+/ux4C9vJFXmSfpjkvDnkkQW1EPD lP/wprH1kGrTuhQWHvXU/da+k8ZruZihc5dZmPG3j8WoL6nPhdNuV26zUOZc EDY3kMbJX6Ne1S9Z8Kr9GfMgiIbEd9P2/+5DAWWfYhNMY2fEtmev37Gwg/O5 0DOURv3E97z8KRZk8qjB9AgaNkZ1AR56bGweK9wmH0fjW1bnnQ1H2OC4SexJ iyf5VjHtmfFsFNStP2CcSCNa46ij1gU2WOnfz1udpiE551RJRiEbuSsXvog4 T/azO8erhdz/I0n3Vw5n0UjaelRyt7M40qak1x3KoVGqMeRQ5CMOqx1Obvxr pP+DmUtMwsVxcdGPg7NvkP3iMTQ/n3yfLLqW3nO9Q8P2hTgGOsSROKfSsPEh DcEx2507vIi3F26ROlJOw1i74PiycA7KVnzrpyppNH26XOeQyMHgJr2sU49o +Nj8IaVTzIFNdKymwz80dtit3hnAlwD39RrF5600Soq1Hd5XSEDj/Ycvh9pJ /Q9DI7RVAvNGIhvmdtK40vqTshiWgLv03/EJXTQujPolhWpzUb5ATcq+n4bU tJaSY5FchCX2/Hj6jYZ1YhP38zoeki6Edxz4TiPSqXDl8B4ermcr3Z8zRiMn J2m5wQkeWkpXh8RN0ugLcntqWsmD6UDeF1s2A8NstwYwkvi8PLC/To7BWLBH Z7yWFHZ85TQ8NiRxa8OiU+rScLlu+czJmIG7loOth5k0HF0j64bmMIiSlj61 frM0VtWL1yhRDM5bxvknpkhDL49933UBg4igy5vfKMvgrZtY1vgKBhfblPQW q/Ph0TgZMtuZwdrsUyEFxNdOMWb7Sl0YLLO9UBhvK4d1CAuw38YgP7L5sbuv HCwLJnyD3Bns+LTwdV+BHHRjx90qvBmYSvjp8FTk0bN81HbTPgaDfI1j6any cLv9RSsmgUHB2tn9W+MU4HNk7ZT1KQZSuS6H51xSQNDawmaZ0wwaRyLSnt5Q wPGRoPjEZAbtBuVVh+oUULBofPLcJQbFVXP467kC3Ju2uXlTOoM1NZrTwhQF qGgvuaN2hYGWbtwTLx0Bmg6Ee6dnMlDn/ZOQvESA8Ypf/2bnMWhg7WfNIL5m n952xyufwe2g3qGNB8h73qMizvAmA+W9N89uiBFgJveoZcEdBl/5jqyYywIY NPdo7i1kYFVqaFmcJwCVazlJFTEo4joszCgSwNKae+evYgapUZEm5+sEsFPz jAu+z6CrOjY/k3h7w8dar0UPGHT/1dTs/pp4Pz5G80E5g/rK3wzGhonHG2Xi qmsZZGtuiVsvFCL1qq9X9GMGzpEa5u2qQlwNfLbCqo6BYg0vdpqOEEXTEyfq njEQfV/5Y9tc4p/+zy/jnjPwHEpKj5ovxON7DrftGxksbR9vsyO+6tgs9Hrx kvT/Mk/5yUoh+owCV5xtZlASmXNmv7UQQ1NNMze0Mljgtzbrf8TDY0/nT8xo Z+D24RiviPiPnZ78sq2D5BdSsR/Ei9J7R29dfEX6nxZesoN4V3H5xpMuXQxk u+cf1ycenSko9tTqZsB97H3lsIsQ+j0qK7p7GBS2nKkO2CaEqDB0ZuZbBkeS mVtTrsTfUe3j2/sZtB6r1FFzF2KFo/lL/QHST/ph21MS2+pfujXwnkGZ6tVk oYcQjmM/TuR9JOO1nxQ/kPGtj108fQcZXCtVVVxLYq/UMou5nxlUR2SvsXYT wn+X1szhYQYtKfyEejJ/uPnh8TtfGdjF/nPsDckvit/dFDjCIKFt6+RBkn/8 K4tbpqMMxOUsc7PJ+lJuXj0xNsZAPn/EdgNZf0YEx7Nkgsy/eDgngdQnz2G7 RfgUg0tmd4PtSP0KdWo0lv5kMGR6LzTpd+Ltr3rjv34x2H87fM9m4uH/A48d ZMA= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 2.0995645056484236`}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 2.0995645056484236`}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>], ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, { 4.503599627370496*^15, -4.503599627370496*^15}}]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwU23k4lF8bB/B5ZuzrmEHZGQZjL4qi5puKSGRrlUIIpdBmSYuilCUJkbX8 0qaNiiRbEVGyl1KIEilbsr7P+5frvuaZs9znPOfcHy4q7vsdPKkUCkWFl0L5 /8/0cHe+RbvTVn405a1/84aCqiZlm83KwVyO55zgLzKef1Uaoax8jrtipGDQ uJ4CsYTH94XaE7iOryKjb5FxelmMEq/yFW5uVePk2gYKdIZ3x857Z3L3vRu1 EXpLwSexjLmZthxu/xvrq3/JWO0/waVT07lcm3SjGdFGCvauOLTvr9JNbpua +KkN7yl41Pzl+tjqO9xKC5PVj5somPKz6fzjfY9r3SfqvK6Fgiyi89zftQ+4 //UNvaG1UbCm/iJ7ou0hl6m9tOx7OwXfUyzLx3wKuHVJa9b8/UDBhd2zLqPT hVwB0SP++p8oaJrek/hbqYg7nftCSKGbgsPVigbDD4q5GnEXb7zvpUD2UnPd 0OoSbqX4PPdhPwXuWqD99H7BXbxbrWh4iALqdMjbsbAybuhcctWGPxQ0f3FW GFtbzlV4rqjSOkbB0TvCRSNtFdwtRp9YXjMUWCf08Y1kVXK9H70b2UchIH+0 3OmPTxX3aY+tTxYPgbLVR34PT7/kSnxzzzwjSoD/Y7fGkNJr7vwavUhHFQLt Zc8PDX5/zb2oWfLloTqBW/+lVP58UMs1a6u8sEKHgG2g7c6B1W+4Faynei3G BJIEi5P6vd9y52yCf4vbEyg4Yh0YtPAd94mHrO6bzQSuDhjLjIa947rsVPMq cCXg/47hPbK2keucMMAS3EeAcbWG+qftPXdP+WmFV+cJTIs9vnnArIn7o+PB pd5LBHpPXtv4O6uJq/Vn6QP9qwQee4dnDPs0czvyyoxt7hLYZmi0/Nd0C3f9 ggWvsxoJZNdmBvxU6uAWVU7k17KoGEsp1Oq60MEduvEk9LYeFRbedT3v/3Vw vykXB5Ytp2KQ9te5uOkDd2OD4dkLjlSYrLBdfi6qkzufN/XwYRQV7+7NUDWG u7hlwdVCDlNUMLiCrqJ6X7h+PsMLsgRpMFVPXB61+wtXbfdbFXUZGmLHbo6G NH7hul9ffOODCQ1GF1s83W9/5cYH9bZ/D6HheK2O9aKdPdztbDv5ckEe5D14 on77cg9X2F4t8o48D96nmNPYb3q44+WUO436PFDz3lKycFkv9/4rFl5v4kEt 7bQehfmN65PjsND/Bg+kV3xkvH3Vx/3cljaV4MiL/HvnPu7VG+A2LlaX0Wrn wwBj4IK12wD3zHr3gbbffNA4bL1SM3GAq7AuVu2JID+yzISze/4NcPUdo9wF zPiR8PqC17aXP7kuYU8Gf+bw43BP3B9LlyHuzOHPR7yCBZApXBchsfY3tzdQ +32HpRC8uY1XBgNHuW3Pfu9psBEDJWei+OP5UW54xc/5u/vEkMIj31l7fZQb oy18MiZWDDWvvRRvto5yp+6dP7X2nRg0nWZyPJePcQvsPNb5Oorj+x6NO5+J cW7T7fHISG06TtTZ1NfLjnNf7BE6EG9Kx0K9wF8lhuNc0X0f3l5YT8e60RKD NM9x7taL0olb/ei4ecyhcPPrcW6Efv9F7Vt0+CYcK30XP8H1FvVaoKsmAep4 TteLmxPc0bgglqyhBFI311DuVUxwKzRycn+ukkCtPHN1zNgEV6Lx44TxTglo 38irttryl/shU2JiS4oEBp81vatQmuRqdwiPtNAYOK34788Dk0muefBOwTg6 A/InFZnZ9mQsXcSSV2DAxsLH+XjEJLfvxN8V+UsYuPtursO0f5LLzv9jeXk3 AxaGatNalH/c/tqXWY37Gfh82UpeVuYf13NLQllHCANi2xNdJ63/cY/Pxxhb xTPg/43TU5D/j5u8tzza5CkDX1w7BMpf/+Muqin6JlfBgGP7Wb363n9cyz+r jYrqGDCp6w/+JjvFndAMW6D0mYHba5Iz/yyZ4i48/NWtr48BxVKLl7Mbp7iv RC2FPYcZoD3IpUtHTXFbr5zsOzPPwGEt56WsnClu+RvRBnV+Jr5f43HRez7F XVctcCJMjImGJI8bFqNT3JXxRfmr5ZkAnVnvIDbNNUpX//qIxcSjcxUjrpxp btuvA1atmkykhKmsPLJzmrv0k7CGvhETQhPvPCJCprkhT5kOu5cxcWz/iXNx l6e5oc7eilYrmfj9Xf9e2v1pbrhjd1+nORPu7l3NN+qmudX2u/iULJlo/hg7 9ahvmps6XNImtp4JS+eVymXEDNfsTVPhbVsmihuG1r6Rn+EOR56YHrNnQmdd ul+78Qz3X2kGbcCJiYxym4u9DjPcDKYQJ3ozExKmM49/75vhqqhlvGreysTp gtudM2dnuNVxS41fb2diQnc7VfD6DLd5PL/FawcTPjeENKVezHAvjHfP3HFl olO5eIPKhxnu7r+nPpvvZMI21SdId3yGG/u5vINNxuVMmSvL6LNcR5UE3Qfk 80YxNaVrtWe5j3h9d30j2/uP72ivvcUs917ji8kKFyZkTmgIubrNci3qBI9Z k/1f+Neq7xs2yw02KQ0KI8c3FxjpfDh5lrtup6PHVnL8AYNLQk89nOUWnOG+ /0rOr9fzW1Zs/Sz32Z9JC2kHJjZ1Jb5K/T7L3fVj3PIvmZ+aLWsG/6PNcbMe 3tl+hsyf6ftRiUeKc9zwS5cEysn85q+/Zvxi2Rx3slG55dZqJpRfOuyoc5rj 0gtqLVdzmUhYSY1o2z/HfXmcvz96ORO8Tx/k9UTPcReEblh2agkTA7foY9Nl c9ykhQ30U1pMuKiVyQh0znErLMZzzqsx8TZ9P1fy7xz3fMkcYanIREF8Q7SO 7jx3OukiWuhMaAiF3zdZN8/NiuLXvSnIRGqEbusaj3lub5sJZRGVieOHL6js uDLPtb7330HXEQZGhk0tfQrmuX4Vb1m8Awzs9vm599Dbea7uhphGt68MsPXY na+oFNwLFa7WeMuAkMppjS4TCsJXMUXKcxmoMbuoH76WgtgZ1/iQNAYit2QY KzhQcMU64+oU+f5R459abvej4KbvzQCHUAam5ga929LJOsCyQSx8AwM/O53z 3lIJJH5ZKn/3uwRuTbrf9xcnsDrp4t71HyWwR/LAU1F5AqLCN9rK6iXQuz66 Zv0SAlMzj1hLHkqgs7j0e7U3gT1xi2N2BUvgTYoGp+wNAYOAB1+/ExKILjBa tLODwDVNx/cRI+T5927VsrlvBCS235rl7aGjit/FymyeQP9dq4bKSjpKDsf7 PF1ERevh+Y/c03Tcdfp3834SFXt/dzeIUumIpddpZe+ioWuTsfyGP6IoMlYo tPWnoWm9+6XaelH0uu7nzoTSsDfy9PWNt0RhepfptDmZBt1spalQD1F8t3I5 JtpAg+uKVyaHWkWwOmLobbApD6ouRRgplwljclz8kIM0Lyq9kl/szReEqoL7 /LwqL/y01m4RjROE7ZqCc3cX8cKD7aHbuV8QuQlbMgQ28EK13TKYb7EgHPSz q0sjeDH1Tl4s7akA7u5ZLKv9hxd76cu79N/yw/2j0wvaGz7sc0nQ4WrwQSjt 676ADj58k+ERWyHOh4fb/OW7+viQz/C8FviXF7QPUcHFBD/4jiTRztTw4np7 sWGAMT8ub1TdYLmPF30tynmfyXtv6SHLLMtyHsRevrvJ5j4/Ak5kl1fe4cFS 5+W8xc/5sa42YPZICg+imh3dL7fzI+WD9OezB3ig2RQpbyMmgPmfu/g8VHng +24wvoi8N538axLEE2lgxAdzNaIE8OLzimnFCBqK7fh+JSYKYMG22fOegTQI v1Vaf+CeACabZh8n29Nwp96BV+ObALzOhGnEMGhwiul6lDgiAKW5olcONBpm bPa6UymCuGJx9p7tGBUb3px58UlWECY3Q359b6XiV+3T4MSNghDw0pO+nkFF UvRaTaqrIG6L+k4svEjFSuv3rfv9BPHV6tiqyggq4l7/NFwfKYjA7vq8Jz5U GNQo/iJKBNF94vkxGRMqAl6edt+vIQSx4KSUR58JKPZa8E0YCmEdX7uJcguB OqrgrTAIoal4V19RHQE2Yv6c2yoEfuccqYNFBDqKL5+4fl4I7L1uoUQygciO zWraKUJQcths1hxLwHBSpubBdSFUtVh5NEUSiFmSIf7iuRDMAo7HbTpCYNX9 /zI6hoWgsiBvgf82Ar8a9pjvmhHCPYG50mxHAmlDWn19AsJYLcbHJjYQGNe6 pzumIowb9KgOcxDIsQpoDNEThrif7pzacgJ2ewwPEabCmPhbyqNnROBm7pMS MSdhvDCtzCrRJLCpKnjX5V3CMGrN7FqjSoDWY8ojv08Ym+drtk8qENihXLae EymMmKeLur8wyfcwrebD6qfCkOh5QH1CECgtig6vrRKGlfg6/pRZCvzabVj2 jcKYI2+Ma/8oeCnV6OM6IIxqHztPsxEKAo0uiX6bEIZtWV9jzS8KlBydH/jR RLC81WXu+E8KguM7Jo/Ki0BzWmqf/zcK1O+lXZ3XFEG6d0BqLumLpvodiFwi gp22nTv4v1BwYlCpV8RcBBqfu+9cIj2iK9wddclWBPfWShyz/kjBB851bdnt InjwaLRSu4OCqHVeb7O8RdC/SfqIMekdI2/NII2DIhB25b2wj/TQ1zMD0vkn RND612aynvRS7PU7xUYxIqA5Bj/YQnrKtNLf9dkVEdhkSN/9v7e+fzWgmv8n Aj+BB18GSY9dpozm1jwUwcKy5lUTpN/MlQqt7F6IgD4m+opDxsMrjgy11IlA qOm7exTpvasuyy66tIvA3jeXwUvGVqHTRj29IqiN05i/TXpx4srzdp8/Iija 2EI9RsbXnh4P+z0rgrvlr1hHyXhj2yrlI0KiWPqXuTudjGfHaVWz0qLo5m2p GyTjW5KvvE+rimI1lbXTi2x/s+FZYWEDUfRRmKpC5Hh4HKzvXTQTxXbpMvl2 Mn5wQMRxoZUoDDevsn9HzudNKjP47iZRKDjoLPn/fPuqZDPNd4tict6+PpTM B2VY5WVbgCgOKyxSlm8mvSfD+bn3uCisvdcZ/SLzabTaQIIaIwp2qjR9hMy3 3T5j4+RUURQHyhZrkJ48Xb42orxQFO38pQmaXRRk/LS5ualSFC9XbG8Y/UrB Uymntz/ficJIhDPym/TkkI+7nPSgKHZ62oucJPeLQKLPqtv/RHHc56a45DAF rNID3uAXw49JHakOcr9tYhx/5MsSg/udB/g3RcEBs8iOeX0xtFjdD3KapyDa K2Y+cYUYtnu2VHylEXhRnLb+xRYx7BaMfZtA+vFDb06Ak5cY1gsrpT5mEBgT u5X8I0gMBY9NfhMLCWh6PO1hxpF1/9X/TuuT7495zAvBm1fF0DDiS2VwCLg8 eaW/8pYY5IafLNTQJ3BRuCV0z0sx+PD7BfwwJe/FR3+Yz6fF0Pv73ulG0pOS nyeXOQiKY8kjw6PrdxLQE6Ds6pcWR/Shla8nvQh4uIjdkVgsDjmNPX1Dhwm8 4dFe47VHHMNHIkvXXCHQp7fYd/qQOPYdLLFzySFA2bosPj5CHDdrj9DybhNY cteyszhDHHgwa9RZSiDDefdB8Rby+1llAcX9BJ4e90u93i2OkNy0mkMjBJpu BpYt+y2OEzum+LxmCfAcB99DXjo006vCu5ikJ5tsHTqV6bDrPnlw1WoqskP9 Bgw208G/mRnFvkOer2WCk1E76Kh4sfSNRREVZTx5vF0edPzUeSWd8oqKLzG9 yjEHyOc/7jWq+0qFYtaOzT/O0aE29ujjYVkaUqvsqrJL6OA7O6M5R94vWoK/ Gicr6Dgb2tipm0tD0YYLXXav6UiKUTkSV0hDe2vN1GwLHVat5a60Nhqkf6xa tG2YjohkxetbSH8miBplMFgSuK1IF/W7zwOWw/vbPpoSWCbH5/i2kgcPkg4U lelJwPli9AfPNh68U7rb7G8qgUqj2GLOPA/EFqsL1zlJYNLttqSoPS+iNy08 GhElAeGcy91r5nhxKnPGfmxQAlWRfL3vTvBjo8HTAO1Rsk5KW3FYJpUfiuVB F93/SYCHGXQ59hE/irsH3r3jZaDA+4fbbB8/RtgddncVGfDdeej0NzsBct8W bvDayMAu05TQHI4gVhX5W7U/YiD3fPIrvXnynrLW8hEvZmCb3GKBpwrC6Pzw 7axFGQNmHZreO8yEcXTGpabgDQMfrEoU/gUL4z53veXFbwxo9h9sdCHPYeVX GmutFzCxe/NM4MJREVCavqAkhIkXMdzbW2bEcPpHaXbISSYeCw4d+KYkDkFK OnXZWSa6vwRZeK8WB0N3a1XhZdJJ2TKZq6LFwY5qtLx3n6yriy+URAvTYW1a YZvTx0Sb7doH+ZfpaLDPurdriImx8dTx9P/ocNwTTlcaY6LCZvz54Sd0uFxe /j6NkETCkjHVH+10+A8/dL4sLwkX/eSTInISuHTtmstZB0nUCzrYG12RwMLi k88ttkriVkmZwoY8CVx9t1ORd5ckaDtGnEyfSOC/WbkvJ/dJ4j8TteaEZgk8 3ZzoEXpWEoXyfq8FRck8+QdWLYuTRPrMlcybsgyUn97Inrwsie/+ySclNRmo fSDSf/CaJJifIpZZmDPQKXzG179UEp1ZdTrjQeS6sDzqdF5K4mfzAqnXxxn4 ZrJK52edJFZh5a0d5xn45Tk75N0hCYuvu7Q1shkICvtoq/5FEr4y205fu83A ZELRvd4+SfhMWw92FjJAlB0KcBuTxG+ZwB8Rr8n6vNXxvdK0JEZPt80Nvyfr +aFFhp8JKbyaSFCV7mRAUvbX2DZxKbSu902LGWJA/aDXUSctKVha6FtKijKh u7zLMdNACpA3vFHJJD1G2aI/sFQKf5ZLjhvIMmF+warv+GopbFvYOGCuzoSV Q0V5rZUUiOWft/VpM7FxoWm61EYprPTVtlq7iAnX6zpOt12ksL3ku4GhKROe vrn6E+5S0FwVPVJGemmvgaLwKh8p+KY2VPCvYSJoIqnv/H4ppAQ38PKvYyKk RLyi9ZAUtOJzlEpJj508dTZdJUwKSXEeB3XsmDi7jgjee0oKzhytPfak5+LE QpyenJXCZzHxnTrOTCQ1j+hT46SQ90freQnpwfRUP+ENl6WgHZHUR2xj4vqu 3r7kNCk8bDdveUV68rb6jorubCmId37MaSC9+XCwJV03Two/g+avRZMeLXpo G3w0XwqXJAt1psm47Gi1U2WBFJwW81xUJv1avRIGYs+kELpqTO3/nzfwFAlv LZfCpscXzM6TcUvtov5r1VJYzNui3Ui23xl/q+JXPZmfnGaLerL/nk2qGcua paBMvfT1ODm+Afmrwac/SKE+ZcHGH1uY+NMt6fz2ixTuf/DpEyTnM5kXYyDb LwUps4uT//ftnD+fiOeQFNYvuvwhgMwH75Lj/fdGpZChd+xLEZkvkem/FVP/ yP7yNroW2zDBKD+QsZYijXeMBXlBVqSvo34Ex/NJw6q7TaJvLenbDe7OH0Wk IXk+dVjCnPQn86OBOlMa4Se9Lv9dwYReh6NIgIw0Wpat3py8jAkzz7WVfOrS CCu3Oc5nwMRq7dIMex1peAefjWklvWv9Z2nI1cXSCKoa4XdnM7HlmOaixVxp sL4duHhHhomDl4Uzd2yRhrNgr4bMPAOh20+H5LlKo5jhWVP/l4FTKrPOo7ul cct+4yH8ZiD+7i+RcwHSkDkUcjq+i4E7LxtDCqKlkZwc9YLnGQOPzltvmo+X hvzU1jarBwwU21cusk6WhlGDBtvpBunbTwXfu65JY3Sez60kgYHe8eRNws+l cXxa2PavFwM5qwyDPlVKoz8icO+5bQzsjGmIu1crjS5DntEu0rcf1HhfO7ZL o1r8qW2XIQONjoGmV0elcbez9oP1rARKH9go62otgOPYt4UjkRJI3kcM2CYv wLXu9Af3wulwKrrKp5KxAKfCFHkt99HB4DVRHb2+ABSdDS9rt5Mevervkvxw AbRe9Ry6akLH6bqPDV31C/As/NicVI84DnAePzrAsxAyNXsv3K8Ug/U332MJ AQvJ+v9p3A2yDrU4pnpnzdGFmPo48XibnwjMpTo/TIQvxN2OaIaqFVlHr91g sv3CQihscB6f5BGBVq7+qOqNhfj99bvdl2PCEPYc21PYuRAiglwp6SNCeNN7 zKndUgYzXkeuro8VQE3Y0ohoWxkwOsx/mwcIoEpy+IGZM/n5jyeEn5MAStbs Es92l8Fh0fl9dnICuHPdvNbnmAzYO3M+H7nNj5jd/Jh+KAOVcLHAl618sO2N 11ZUlEUOrzzj4xZevNHubXZRk8Vau6BDG9bwYn2QcXialiyWHqbY/dbnxTrq 53cLjWXx2PByYjU/L8yVtQ8zN8qiyiHp6fMiHixxeVkmcEoWtDtmhaYaPCi4 ttDX8qws2oRlkhqleLD4px8zMlYWJ1Ze+pPMwwO9EIYXLU0WHNaO0sJuGjRT dgrPPZKFoIj2MsNsGuSb/zmPfpPF20fvqCwNst6Q2zC/aFAWO/4wiMKFNMh4 ZOUdGJGFpUyPxBEhsp4YsZgempOFnB5H4uwvKuj0xKzvC+QwkmhA//iUitjN /VYainLIs32l03ubCtHM5aOeanI4Off1hlwmFUJ6X9f2GMghyuLGTqlIKmg2 ej8/WcnhRH7rskWbqDh16WSi/EY5NAnF1N6ypoLysXnF9k1ysDvBx+fApWLG JzS+3V0OAv4hqhwOFRNRNUuaQuWQs3kw4u8cgYFK9xM1d+VwPUzTmHhEQOli u29sgRwmDh9bG3+TgJOrrbPTMzl4d5Z5OGaRfptcpvWlRg7nvc7sOET6NEFX ovlvjxwW/VBXY+8jUD0VWfp8QA6v79Lj7T0JzFTP5EX8kYNtR736gx0EvNy/ HxOflwNvj5G7oB0B0+QXGhqy8ghKiR8dNyRwYPcSxpCyPDQ8JoPu6RL4b9Ht mYca8hg6f/VcmgYB+pukxpVL5FHbF7xaWJ7A2isiJTxm8vClq76NlSYQ4nXq v1pzeSyO+l66RoJAL8U/dNNGedivz7tiyU9ApqHHU34z+Xk8Y28ilYBt2taN 3TvksVEiOIA5R/phyVq2v588tj2R7b0xTvqB+kzcKFAe75pemjz/Q3rhncHU v6PySJHbEMdDevSCr/zbM5HyWCr/js7pp6DcOKFofYw8kt6YqvKR/pjgEbgu kSgP12QPPinSJ9rvj8W2pcrD4ej8XefPFOzKHD2ani2PZX7VojWkPy/v9fHw yJNHm1+QzF7Sn7XLujZw7slj5NCzqlWkh+b5nE2GC8nxntlMs/q/l5prWYUl 8ii4PF9zkvSnTzZEQyvl8S3HT3CQ9FeG/+O/qJVHXp7j06h3pIdNdbr5GuXx c77F3Jb0moBgzps3bWR7m9O55qTnVrQueJLwWR7+8ZdyvEn/BV6Lyd7yTR6M 97SAUtKHeQdoFxQH5SG8etl9CzL+tCL4cO+IPNhCxz0pZMwQHt516588dG2V k37WUbCufff6AxQF/Fmyx1KA/PxY7oclS/kVYPY9O3wTGT8M3Kg8I6qAz+cX rmol437uK6EKSQXkWC5I/L935UXNxqPkFOBs/iPMlxyf/YcHXRtYCniV00E5 To4/8oZGLZOjgLI4Q/ZLcn7PDqYXdOgrQMLAfNiM9ObvVczMzKUKiLy1cXcf mR+2+LlznisUMMS+da6czN+2zrkg7TUKYLy+sruBzG/czYOuf6wVUFHsOyVC erPq8MC6J/YKqFPZs/FYJwV6Eq0Kq3cqQPanpMP/vdkX03fqsqcCur4cGK4k 1ztd6G9/v58CTM0uTrwg94MIz8KHF44qwK93k+Nycr9UndBc0BWugESJlAdP yf0UOmsStuiMAng8W6Ldyf02MLHVovWiAty4YS9MZinICfK9rZmigP/+O6nq SRDY+juEHpqhgNWTld2FvARqfqR9ULqtgEXDV3laxQjkdn7y96lSgBaLWqdK +tJl66+mZ7UKGBA4rZyrSXqxdc5ErFEBy8zuxjroETj1Von26JMC5rjPZxYt J7Crwi15ZkIBj8uspHmdCCzkBs7YziqQ71eYxo9tBN4+O+WWTVPEbblvX/65 EVhZeE3bgq6I7fKqidkHCMjnfXsRx1HEaG3ViHA8gWa1CbVufUXkTLPMNqcQ OJ/NF220VBGfN1k+f0ueJ1OpGk4d5oo4t+ZW/rqHBNpjfL6zXBShRtitcWkj EC8UsuGQuyJao53MmV8JWEZFP6zeQ7Z37trv8QECj0/cDtt7SBGr7p2kr5wn cCloiP44VhG+C5P6/pLnnfXv2UMClxUR3d+2TnYJFdR9Yh+3pSliRuz3Cj9Q ccBLP3f+hiLiHQfXXdlMhe3WgGVW5WR/OswSzbPk+csdd+scVcTyAdF+7REq jq7SFHg8pUi6zcAtiKChb/X2/DhCCdy72YdH6TRUrCufMhdXwjBHfjLdgIYQ h5hLN7WU0C9mMJEZSMNPT/bLw25KsKlJc6gheLBtzxa/jXuUoNwyXfVIkgc1 vucltPYrYceXQeMO8r66vv/Pjk9hSnidWmD93pYHLsHPJ1anKEHNbIVDeCYP 3lxw1pR4q4Rf0utcqtfzYnnc2YaBFiW0N9zo3+zOi7yLzw5WdSrhm4aHsmow L04nqZQfGVCClJfSS58bvFB8N6EzTFVGQ2p5TQ8fH1o7Kl46KyrjQIi8z0wj HyyHtv1lOStj4I6wWsdFAWRIRjQd36KMlfu6rcTvCWDM9Pa9zu3KmNtQMnL4 jQCyoqe9k9yVIa51+kEHvyCmNK62Cx5QxvawpoMypwRxx/1T0e9oZfh8dXj/ 4bgQ6O07w0rLlPEs7vTRh5dF4DUftUWuShmMfbyzY09EUKJ+3+hotTJK1vFf svkgAp9DlKFFDcrQEZmrPqIkigpG9o7cj8oQ7qO5nrgjioMbuldemFCGrJSq TV+1GNordhPbdFSQdn7tJ+FQOnkefJA9pq8CEVTo9UTTwV9uZ5S1WAUfD9lr 3kylY+mL5d59Jio4FhjctaGYjsRn9PrAtSp4oX7R684kHXYFJSnnXVXwvFsw PP6ABLwMFz/Md1OBlmCxOM9xCYQ/vFHXuFsF+0O233WOkcCd+wlzC/xUoH7q 0vvYmxIQurtn9/UjKsjlL9c3/SKBV7mSBs/jVbB4bMuFuLUMfFaLtvpySQV8 rTQpT3sGxq/Nu9OSVZApxa7g38GAWs7AZat0FWw8qmLiRnryVEbZdMtNFdz8 cKhQPp2BVIWlUv/uqODM7dYLFLK+fXD1tp78fRXYv6rYe/s+A19Sk9zcH6uA /0ZPvGMlAyuT91b/qlBB44O2gx9I52+S7v4i8Yqcz35WWg/pw32XN08ZvVbB HN1iZ/44A1cvmeuGvlXB3relwpE8TBQwnlpkvCf7d/C+clGYibqLurvKW1SQ FxUn7sJgYipu4SX+ThWsbOalaCuR3hCPvaPVpYKjDjeU9Mj6nxNLe7WhWwXP 7PYHDpE+2HLh1+Sl7yq4kygzk76Eif3CuxlPfqpg2tyuPWY5E5HRHdoffqng 6gqHxcakHwvPVrkqj6tA7pvXrUeWTORZ1y2MmlTB6p49/s2kF1NF3r8fmibX a50MPZP0T0xD+wWneRXs2xTzkOHIxIn4LotnVBZqZKLvXie9GOTQR2HxsZBZ Fyb0nPSVl+RQ8VlBFly2Lfx8bCsTW1tHDw6LsKBg6evfT/rMJmVKbxOdhXnG CWKK9Bt3G/GjhMmCMtf7UyHpu8XyAtdUF7Bw1UZ3nRzpP7XPYjuiZVm4VNIV pUXGC7KkFvxRIJ+nX+juIZ8Xcpdv3KzCglsNN8OSjGdUVc+XqrFw0EuA2ES2 P/yNs5atycJhv9GN4mT/3TcM5s9rs3Bmi1hzEOnDFh/johE9Fp7ne72L2MRE jfbKoK2LWVgxLHiBS/qweGiNbtkSFlhpvBtu2DNx9976fvVlLJw19N76zJaJ rACH7BgzFmKXmf0NJfOXYLh1+xiXBQe9hL0/yPwefeL1ttyChdPfJ8bryPz7 Be87p2nNgt595aRVpO9dTQ+ujtvAgrAfoe65lPTfi5NPXJxYaCpV0H2izcTS k2cDKjez8HfrQYM+cv01V8dpa21n4dXgE9Mqcn+IVV/N/OvGQv2s6alYcv8Q 565tdfVkYXV4slUoub/GrG8xX+5hYVZnY2MBjYmOhidRCftZSMpbXfxthIHr re/36x5jYeX7CJNn9Qwkp3RwEk+wEFm67kgxud+jt33pmYpgoW//t/VBRQzs /zy0uSaahQ87tJOkrzOwvE8AHiks1ArG1q09zIBunvjU6zQyXxWFLYa+DCj7 ShcYZLKw68kLo2/k+8j7S1VzLpeFoMT5d0lrGHg3vpJ+5RELxiVNGZvFGfDi PfSloYEFAUv9CJc0CcgqvW6bbmShP4ZbRyfPhwYThbeaLSzwJnlrZ4dLYOne l89PfWQhY8nyjdvcJMDXJJW29DsLaZVn/1izJZCb9dg5g1BFam7lC+E8OnpN J2v3GaliRv7cqXyII8XZpiLVWBWmhTcXZCmJw2Z/VlH1clXYVYtGR8+JoSBn XZ7KKlUkVUfJ2ZWI4bTglTMtG1TBw02OKDYWg1rbMqzwVoWbWdXUUn1ReASG FoqkqiK2R/Hbc44wli7+XMhJV8XnyGhtN2FhCI3gsUWWKo62GL1VHRLC/QC+ Jyf+U0WPpISU4AMhzBy4+HTsoSrOHQse2LVcCEn7bzzrrFNF2XyiyX1HQfjo C5X8a1BFiEKN6yljQZgN7y2Rfq+K5d57joXKCaLHf/Hzje2qGFIsie7tEYCB //PSql5VRJ5YtSTzsABe720qvzOrCn1pOwuV6/y4qrO04jVFDQUFwufyo/lx YDCloo+mhhN0099ZAfyQ3utaqSykhszDjgES4Ie734+qRGk1jKie0FPt4iO9 NF8dpq+GPLNAKRl1Puh7azfYuKlBdAktrbaNB599lPbf3a0Ge++CpV0VPLiw l0kX26OGQE7sYtN8HvwImLZ/668G9tFTq0vO8OBaWF2LfZgaLOw6un2NebAg we/TpmQ1WHPav3nk0vAqcWf4k1Q1bDko+FApkYaDyY5KCzPUYN72yY4ZQUPj VVO3jutqWFk+nZrtRsP5G8Lftj9UQ7ReV95mFRrmS24P7qpXw8OTpU+YpB/z X2TGlL9Tg51/ib15OhUuFZf0WM1q+Bfqr3Yjjoqi6tADPR/UwLO+mcY8REXQ +/Vjnt/V4DT488oBcypYLdzLr36qIUbq3fcNS6l412a4VGNYDWKEYfwuLSp0 P8kd/T6uhqP7tx1lM6no7/857Utjw+rzwXStfgJJA11X6/jYmNiQmHmvk8Ca oaYVOkJsqKvMyvi8J5A98uz4EJ2NTPN4/uBSAttnz9MOKLJh9x9RKHiFgBDl xPV3Kmys83qwR5+sH59SD65dxGZjVutQwdkoAlICLlEj2mwYMhWvtxwm61GG jvChZWz4lDrxvN5M1qP79v1IM2MjUObPsZmNBPKr86sruGzkEe5wsSYQG7bo NN2CjUT7Lb5ZKwjMtQa6G1uxsZrNeXLamMC+RQVwtWGD6eq54PIiAjZ9S2dv O7DB1/a4c5k6gRIc/fjemQ2ViAUaDcoEdNKKiv5tYWPD3hC7WDkCwhvNDlvu ZONt/SeeBNKftUWrhrv92OAvXH4hd56C5ZIR9YL72Vi/qH5j8jQFt/yrbhsE shGRGne24C8F51Qt94QfZaNS2FQ+4DcFk8fOWuSGslF1fP8O+hAFe9pfq70J Z+PWU9/ODz9IX8XYfJU5w4aMvY3rnx7Sr/0xL3CWjVT5cIsVpE80zN+me59n Y+y0qHEB6c2kq/Sw2Fhy/MhibSI9w/fXflvhRTYUeDqnWaR3DttfMulMZKMv 0qtQtp30ze1maVoKG0fCv61a0UrBJj7pcU4aG90nLx0+00zBy12bmzZmsGF8 2HfZKOkto2cpD45kk+MdufL8POnP61If4jKus/GppIbHjvSZ5AE5/5c32Gi7 kk5fQfrtdK2LzeAtMr92L7qdSd+NqWVoMfPZeJ7dHHaF9J/H8S6B5Q/YsN98 +gs/Gb/vUO7fVcCG9JJD4tmkF82N3F9GPWFjJ8VW2PP/noy9di2/mI0T4YUt jmTM+tF7suU5uR4HHQ7sI+OE1eq7ZsrYSM+r63xAxkSG90rVKjbQVS2vQrZ/ YDJP3rqaDZHPQ4uekfEXh4GpA7VsOPn2Kpwgx7fxrnZHcj0b+6wcuveT4y/j 3/ek9B25Hvh8Ipqcn4F7/uVvTWzsktKffkvOP6tkOEikjczXhZ8OIP1JX7DI wfADG6f3Fp/7SObveECgwbZPbKQFm2dnk/n9VfdI7OQXNoKDtdISyPy7qo8P 3uhh49AimeB8cn1Wfjxyc/wHG4yu3H6vLgrylxRFyQ+xsW3nxVBaNwUK8VOe q3+zIX5XcaqW9OjMmmOsixNsiL4qev5hgIK9maWUp//YmJeT4lMlPdr5b/7z 5xk27jrd5SaRHn2WfypNh6YOHz/TVaOT5P6wcZZN5lPHsqi78oakR+1/aFwh hNQh0/H5ci7p0X7V+qRWujruG5YWsoQJLC7PlFolqY5nr85H6tIJHHMNTLy9 QB3Hrm+28pMiwLyyIOGEojreOXH+HSffH9elA/SfKuoofGBL30y+XzebSuKc 2er4t+/BPjcdAlwx9xgtHXVYyPjb0ZcR8Iu4c7Z5mTpi647NtJM+fax8nJ+7 Qh08BZaXbFwIEKX2kTehDk12/cIxDwLJkxMR4ZbqYD+2WtMVRKBy36rjms7q OKta6auZREBMWHIuYYs6hLtZL1dkkr7O6wub3a6OGIeSx1F5BIa7z4e8d1eH oevHR0XPCMhtaT0UdkAdEbFnBY71EvAazxvrC1KHjqb3foNhAg8SQoPsj5Dj 1TN0lpkivVqvHKAeTo5HsnbRBTp53pr77X13Xh1/nALMprhUlHat+Lk8Th0n dy3L22FDheAxum9ugjr0CJdnf7dQkfmk0DvkijqMkvr93gVSUadD8VC7oY61 Ckm0hTepkK59/zX2ljokvtx/YvSECjfv3F3/7qojd9cl03Mvqfibbe3aUKCO o/p9Fh+6qVBdcHnr0Qp1qDFWBSsr0xBKaG1880kdQT3XwpPI+6hvjXC7+ld1 GHtfa5p8TMPGs4M7T/aS7TfLPEuooUFN/N7+pT/VsftF+cl9gzS8kTeKy5pU R7XJtvtlS3mgaLKy4SBTA7Yp8bk/W3hwNlRp01tpDSyvk7/TMMCDkVLKZ46s BiIRbDEwz4PqtZVDn5U1kLju3+E6LV4ccFwnaqWngRytwHPGEbyo8HewUbDS wMq33LARLh90Hho2H7HRQP3w7GzsFj4kjUu6vLfTwOFTlc/cA/jgF9bmF7VJ A6blKYP51/ggGe1y/o+HBlhTLdpNQvzwyvWqfRmuAQ/+Xx7MHn4IdYas8y/Q QOrpyzuPlghi6ZGbonFPNBDEpcnc7RCEG6P9/b1iDRgPBizl+yuIp+uW7PhT poH79+rfsxYLwatwOOBgvQbyBrr4R24KoTx2d1pInwZiLh2RtskUxtFVtr8i F2pCjB36d1eWKK53hj26IaeJna0JrSgXxdsjt4/WKGpC5cSvLRrdolDPF6AJ sTWRIy6oQlUTQ5Ns5YKYRZoY2/nrQeUNMeiNGa+6ZK0Jj/eX9ivmi+PbfyqJ mWGaCFx8gzbaSsfg6a//aCc0sSn35NqX/XSMuGfv3BOhCem8lB+hpF8pSira i6I18Z96y4KLMmQ9mqxcUZGsicvnxi2XbpOAyqEvGhppmlgxq9LG5ysBTces mPMZmoi9ZGb5IFgCS8SVtzrlauLCn8RzsSkS2Bil9PvbQ000jHHfr22WwGbP Lmfrx5o4Pm99vaxbAq6rM5/lF5HzeTHeIvRHAn7zilFHyjSRwYlYICDKQOQR RUXBBk0Ea7i6+pszEOP8OWJfoyYOLNx9QdiOgUTDjB+NzZqI69tI99/OQPaw QmHqR02oCbcZHyf9W+KtYKPzQxP9wjvaHmcxULn204P4QU2sD3OL9LjNQK1q +oLxYU1cuW1WXV/IQFuXfM/zCU20GO+Xb3tNevt55zrWlCaWxlRwDzYx0Jt2 NT9yVhNuCb2Muk4GRjbLh9jxcEBNv9CX/YuBf0s6ux7xc9CXKjah9JcBiuTV tQuFOTiybHOT4zwDou/kJL5KcHDCykiqQ4wJyfyPh9dKceD3qOqspjQTshfS Om8u5KAnn/mdo0D6Z51cXqASB7vXf4taSfpXX/2jaBuLg85ejzY7A9JLPGlB puocVFKuGIiTnjLr3taRyeHAPo2aFkp6a3WZLJdHl4Py+4qKiWDCOuPD9T0G HFit8CvfvJaJjWGpQvWGHEhN3hj+z4qJzdu2HVhkTLb/676vxAbSayayrZeX c/Csbk0QeyMTntIfTKdWcFDA0jTqcWBi79iVbNdVHNRFKbVbkz4OfL+Vv3IN B0Tc8DkX0sfB92X2aazjYNsbl4MLSR+fiO14f349Bx1N2hXhpE8j914x+W3L QfgylYw40q8x1lsznBw4sLtIGK4nfZuoKcNT5MzBhv0Xbz8gYxdX9Rs9Wzh4 LO16q4qM1RINrcVcOPgkNPkqhowHX2PIZCcHC9Zw1ETJuGB+Q7yHOwfFxc96 zcn2w5ZsN4z15EDWO1hbn+x/jd+e1qd7OIhdpSP3nvSxSPah4B4/DvaaZ7Rq k+Nvbj0lL7afAwH3KyfMyPldFYl/YRLIwdOUflMeRyZ2m6e7exzioOmzg3YE mR+do7d4Y49ycEcnN6CIzN/Y3Sd5T0M5SAvJW3TDmomSnqr1PeEcjJapx9qQ Xj4t8/6X6CkORCZ/3Ly5mgnmmUEjj7MctMh43zpPrt+H4n9tMec5WDRe0Ew3 ZiLnN1/o01gOsnP2W9kuZsJXXVKx5yIHx2TdtNfoMrHYRaVc9DI5P2fH9BEN JqYu6u02SeGgwZpesZXFREW1Kb9HGrmel/uX6sgz4WC4acPTbA4eqPrGR5L7 UdbH43f3dQ7YuhwdG34mujMOXBLN42D4n+RkPbl/A4XOd7jnk/PJmX0v+JuB hK8vPEWfcdB46fPhMNLT2xbUC5iUchAm9/bQiioGWBs+3HYv5+D6b0KoopiB h0/H/jyp5uDouqLrMjcYeB/HCXdvJtdHYvkZ+WMMSKy8lPRkiIN76mTxosRA e1DWsu7fHKzNMMZNBgNZN+92ioxxkH5k9nMvLwMGUjUs9yly/JIuQ60/yfNm cCZfhF8LnvJn5hMKJRCf6lXtpqyFbpWca8WrJHDk8KmgMFUtqIgVOf9dTJ4/ DhlKyepaUHfyvrZATQI6Qq1H3uhoobFOeY6PTwKvg9dqGi/TQs8xDU5JDR3U rWrnRBy0MBB7WtrFmo5DC7qtn0RoQdTDvu5trBhcRmcnGiO1kPnmtMJmfzGs eStzbfCcFt4rijt+2iAGRpT9tEq8FjalvYn6KSKG/Imy2xeuauHeK+/xxedF 8b0lU8S9UAvjR3jrL5wTwbbEHQ0i/Vr4tWyFZFKqEOQfCcn5DWhBxGRQY2uI ELoan3i/HtLCwvtKvebbhLBbnEFEjmnhlAGPaIysEPyjXxnOE9pQ83BSEU8X xKkT+lf+yGtjUvLKFvdbAliT2fnNTlkbRPGj3V8vCIC/9NzifFVtnHBnjl/c L4AL0z11vlracP9ycWv0EgEkHU6Z6zHWxsAJAYddVfy4uZfY3eqgjahhDdPG IT7sPZ9/32iTNnolIo6ONvFB79b22YSt2vgRudDLppgPD/sLk+x2acOSGd+e E8WHEnff1zX7tHHWlXj9TY0P77Y06T07qw0PQV/rrz68SDhyIlTmgjby7Xrt wx154ZykW3MkThv+CeJqTit48aEpys0oSRudT6Tv3ZLgRa+tWeLda9qA0zPC /zkPJtfk/sss1cYexim3PiUehD3LjKgq18bvTEZCoBgPKItTRX9UaSNulJ2v P0sDv1KcyuI6bRz6HLvN7CMN0v+OWlW1aSPQ5fiu9Cs0GN61ufL9NznfV1HE PiUaHqtaqoqOaaN9Tqx0jk7D8tRVdxf91UZpBUW3jEqDedTS8pBZbTz//Kmp sY+KjW7KP0SEdGDl5By37AEV/lJjJotUdUDQF+OTLRUj539VOKvrwMT7tK7H aioOUX/YhHB00LgnxGmBCRVhw592Verr4MlWzqAgi4rzr6vPOpvp4P3RkAtS k2S9igpGCFcHu282xgv9IpDwuORqhrkOEt3CBHTJejT12oP7/et0ELL5+q9/ 7wjkHUtrD3bWQVMX+8v9O6RXxy67Z2zRQWcT5bXYdQL3feMHK7broFany/VK GoEnm89QRNx1MDN9TM/oPIFXi/ZrZvjrIHmVRNyevQSs83weVgTogL7y0xoV TwL1irvN+g/qYIVWkzCfK4Fm4a0bDUJ1MJIpccWR9HfPN/OjFVE6qLp+a/Xs UgLmmQ05Wud1sNR0eiLZgEDWlm31CbHk/Nte//XUIj1QF8DyuKyDj8p+mWmK BJ6fnrWpSyHz94bKpskQkF957ojhVR0UhOQUpjMJfLif9YZ2TQc6XyIK/QQJ LPPV+ev3nw5yL0fTMnkIpKg+VWm+qQOmjaosL4XApqS3h6/f14FxUaKrD+nt Qrvt2SIFOsjxX+znPUr6VLC/7uATHfiyBmeTh0lvhs4pry3VQfCpFUHx3ylY tCR6/d1yHRzUTTXa8o2C+F9Sh6Ve6mBJ89VlDqS/hm9kZx2r0YHkxI2AcPKI s3XTrftWp4N9DMU3naS378oWjW94S+bv95IFnqTnRJrXKD9+r4OJxoUR8qT3 /GLeWSu26pD1jSGFj/RgrYXLocgOHXS4PolXIb3IoXzP/NWpA8f49qX7SW+f LQqq3fSFXF/312O/SH/2B86PlfaQ63Wl5E0W6VMLnfNKGv06+PK3t+w06dfc b9LWcQM6+IlDTamkb3kycw7+HdLBpHEWXw/pYY8tepk7/+jAMivFZQcZV0gU v64e08GCFRfbBMlYpW7tmP6kDv5rLAn+XkfBidONiinTOjBSsV37j4y7Vuyw osyT6zV8xMyMfH7l3+9Be6i6sJnb6/Z/b6ffP5jxjlcXjoxdj7eQ/c/4UF6b COpi86+IFYvJ8W1XvTCaJaKLy87C//7/+4HizgWKgnRd2ApzfoaS85NJurYu gKmL8vfi0v//+/ZRO/2gDmld6O4fCY0lfd0m8Cx9lawuGq/RlDxaKFhaYVFz U0EXg4aHCd82Ci6Hvh+RUNFFaXcY+1oHBWNGrgoharqIDLKOESPX5+GNQ4HW 2roYs+RdFPaVAgk3Iv2hni5kGFsCwklPH5CNqZZdrAuDOrO5//9/ql7Mdfmf JrookLcJyyE9HWNhYOlopouryYrmu0coGJx/FvCMqws3B4foLRMU3ApsenXe ghz/i+6h9jkKBHV2/hm10kW4mLm+J43Anm8Dci4bdLGlhZ+rJkBAfQs1QMdJ F//R3kiZMgjkrFgkV++mC/+92wvqNQlU2ApFTO/WRZ7Swedn9Qh07+wZ4Owh 8zVanHTAiIDqqcvFkf662MZ4+vcVCFx/9W8rQnXR/+aRWvx2AlVt78v9w3Xx W/nkrkfuBHq/3+akn9SFe4XFd5ovQe5D13//onQxS8uS0Q0mkGtXkfIoURex Sg0F2VfI82FXGqU7WRdOYdnEohwCfQEH99DTyO/vLaH+vEWOP1HdZF82ud7t uSFfSwj81x7dpp6vC+Xkjb1/u8nzyc1ROrVaF6OBui1fjKmoCdQJr6nVRXq1 6Bl78nz8HsHbN1FP5i80POYPeX5q/vek0LGZXK8PqaJlXlTcHJBzFv1KPr// 9MUrKVTcCuq9dGJKF4efmH924qWh9vTz6fxZcj9d2jj7iknDwOUkj08UPaQd EvvPj0WD9tN1hsv59XDEgv/hRtBwZ+bO+1GmHiY9X7F8wmm4e+aQhLeuHsS/ +Ix9pfFg0GzHqTMGekiavHR0oRQPeZ6uGb1mqIdVZwqFjqvz4Ja7ZMuXZXq4 sjUmudOKB3ncRynbLPRgf8ZJ6GMCD67/+61ku1MP6pmeQqO65H12vz1+r7se ljIOv1pkzgvVPWXEeU89KBw0Pp+9iRc5rXE91X7k58PibY4neJH5SO/GqqN6 OM4v2SfVyovUfXv1llwkx5v8NyMjmg8f1JwyHRP14BvEu4k3hw8ynab0wGQ9 1KxXFE4r4kOKtfBIfroedsUJdTr84MNljVuFmrf0cDOXIvHbmh/xX/vN5Cv1 sE939myZtACinD3W08b18OPjlNuJJkHk2HW6eE7qQYiyUFR9VBAlVs7+1dN6 qKp6GjDOEMLICsuL56n6UJ1czRZzFIKLunYbk66PV8eeetJbhLD474i7mrY+ qstb6rO7hPE55VTIWjd9WGaIz2SJi+FfwvT5G7v1seIRq1bBUAySMQfTBffo Iyb7dm/aJjFYnfQqq/fXx9zY6reJ6WIo8LHm2xSmj1/d8dqW2uKIXs5I8ErW x6e0zVWiLDqWdGbfjKrXx864nD4Tsh6k6+2ZvPdOH7bzp7UtyXpx8LieZXuT Ps43U9Yab5TAddVnvZof9OH6Kvvp030SkPRrVqrt00ejX+IE64YEfpek+o/8 0EfIrQ1GLLL+fCPm9lx2SB9ex7a9maqQwOmHQ9v8RvVx+u/6BsPPEpgKo63n oxhgpnR9x39kffs91yswlTDAnW2ZDD2y/m1teH1Fj2YA06d6HpHaZP2sHP99 E58Boo8Y9v23mgHfKvnIGyIG+G1mUhQXwMCWoeN3TcUMkKlQ/ycqjAEL6Z7m t+IGcFpBC7GOIuvxPTdVJxkGcJ88I6V9lYEO4aXl62QMIHZpXal5JQOvjK58 75Q1wM9s66JDbxgo2DEjHiBvgOm9jmZ7WxiIv1fhekXJAIsmbh/O6mMgvJ0d qatigGymVFgn6d+9xLm75SwDNN5+kts+wcA6R7uZH2wD0IQ7CTE+0qthD1XD NQxgu+jIqbWipN9ypdYzOAYYjA+vXCbJBOXvxyvLdQzwsJhH1VmFiV9K3PIG XQOwe6/GhZCe6VyX891d3wDhvM1btpLeqQ3gpf81MIBbw+Pc36SHnqbuMT6/ 2ACHftmnc02Y+K+yzlXJyADxBWuvD5qRnhzUi3y0xAAHtzIJiVVMnJJKuGtp bACtjxs+/VzDxIGV480fTQwQatu34tg60r/eW2b2LzeAQU29xsv1TNjEP1Pl MTMAc8d4ZqUtE8uLFNenrDDAkIrt7aP2pNe7TwbqcA0Qpf3atpf0obTwtytl MMDt2M1xfJuY4DFaV+5kbgDWroGALtKXIy63v39fbYDHBYHT/qSPv5wRox9b S/aX/dWgkPRpQ36AsYSlAbYu11zwkPRrSVuza+46cj0SjR95kr69RTGJXGZt gC8vKULvyDiFk3a3fr0B3n09qPyHjMdGLXIjNhjA+/LMhv//f6xd6cjVZXZk +6d0T634//fPZiQObzSA/iX7SneyfT5H6wu5DgbwefRwwWKyf3eFiYjtTgbo qU89c5v0cWl/dqjEJnK96x2Zb8n5yD7cEFS92QA30zWqrzoxcSjsn++xrQag cHbdkHRg4p1FrrvhdnL+2yyLl9qRPpaw3/bDhYwVNPhoNkyc/Thjn+lqAIEd VheDyXz35uZZOe8ywCvapFsquR444LRK2N0AP2bCwj3BRNpyyrJyDwOEGLKG PpA+nvhfRXYeD/X2xgHcjDFDjGWGZMuSi5Dm+/2WFqpPUrm4XC3aUJZCUdki VCoUZUklqSjZSrS5bqSs8Su3RLr2EiItpJK1+p375/M683qd5zzPOed73q/h 3BAFbyf9SqIKJ0yJZ+s3GMzxJOODb7LDKCEKzotr9XiR83P94HZ7IyGkPG4q n98pwgtRhna9rhDlY1yexG4Rorq2/vx3uhDqVXd+luwRIdPwwzpXOSFC4ly+ 7/UT4fLh14oXiYfn6hS97QgUwSLlrbn+qACxH107k/aR/Rvyrm0/2f99RfyX ViFk/lxTu8NvBUiz2V5dGEb6Z3pO626jADJBildPHhFhf3uKZ8U1AbyWlada RIpwnaV3tTVNgCopn6SxKBFeT1SeuHlagNC0qsMeMSKsyJV9nkLO80Ct/zbz RBEcH6jPiLAh51W1QePjJRHgXzewjNwnOm/DlTLSRfi3UnXG2XoFHLhpwN94 RQSTTI/QknIFzLOMmKrKFGHXbWWzsAwFZPjObb+QJ8JsbSu7CXcFHCqPS7Ep FmHshlmNWpc83neWnxkvEaGlgau3vV4ejpNfE3NKRSh/e1n/7EN5GJtujhEv J+ObEvQKLsqjJU8v9H6NCJc+BNzs3yAP+lzZFqMmEbQenTpnf14Ofb7DM6WH RCiJLrmq78mHwwldteLPItx6uekPdUs+SnM3KHt+ESHiRSB7pjYfp3seyFWN iJAru3uvfbsMsClWLGyK3AcDaZGpf8og1XJW93spCsG7KoPSV0jjD7X1WU90 Kaj21g6Er5JCSq9J+RY9CrYj7A4lQyn05ku2f9SnkCcd9+ZfvhTCUSovZ0Sh NC457cVLSdzYPit8LUVB7dk9g8eekph2a3hNxxIKye19cS7JPDjur/P1XUYh ftfcV9IHeMiwyDr+ExSaJ4Kc+t15WPRy40MtSwqLe4x9ZtM8eE2Uzd5uTcHH NzGl8zkXtZbxYoOOFK5PZujrKnMhkPVSO7SRwla37buqxbhwaV5uKr+ZQvho L+vsewl89x7ZRTtT6A6xuVX7UAJ6CU7N+9wptOzkvNhHfBzZaljwaw+F9KdL lfv/x8HzDM7jRD8KnXejJkv+4kDd51WPdgAFd9nRr2UZHNz9eUrFch+FrjLl HqcDHHTPGo88Hk7Bwe8Y9808Dpbvrt2iEEPqM9JYxckXx0TLwKrqWAoLQ7Wz jl8QR+EKGTr4JAX6yQfhylhx6Kk4SHYmUNgfkmzt6SUOmeq2wtxkCvfLiz7b 6YujxuRH+pYUCo1rHQVnlcVx6LzmCdlUCmU5ZU8UJcXxZbeHa+AlCjk63tnV A2y0qAzykUlhl1hV0cObbCRFyo9/ySL9iX7jVHuFDZshujcrh8JZng2Pd4aN h9XBJdJ5FJ6++TZkuJ+NzD0sz+bbFKZtdK5grWJj7yPF8t1lFH6stn3/fIAF Q9GCPO0KCidrPmSZvSb+TN2U3FRJYagn/3B7E/Hf3jSfxTUUDHsTtErKWTBX M1DhPiX7oXVsajCVhe9R1pziZxT0T0stnDjFws3PPkO7nlPgTdfMWxTDgk7N 7UcNLyhkLojsWRfCgqSfmf+lNgq+87wtJzaS93i7s/OfHRQkDzX2ZTqwELYq wkr8FQVHpRSlo9YsDKo9mun9hvy+z72y1Zy8f6P7pdR7KHxiRSitIT52HZYa edZLIdFQN/3HXOLpGru6ee9I/z1EYoOzWIin/Ir6ByhUORbcoImPV188fSX1 A+mPctei6zNYKPFrCRYbojD1KPYyJctCQMeE293PFKLOqNgvJz42Xq1ht+ML BZmvx44fJT5OV3fT/WeEQoT23FXpk2JYzBiZuI1SqD9oeeUB8XHT798WjI1R CNBeV877JgbJ4Ggb3SkKPa9iOZqfxJARZ7++5AeFx3/UcD8OiME8c8bWP39R mH9d91hvH/FSw3X/cDYN9dSs/NXEU9PeBYQLODT2n2pTu/dKDJk/zaNzJWhw axYMrCX+WqrETVzKo2H5+06hGvFxi1H9+SZJGkXGmil84mN/i5SrO6fR6Dws HmREfCyzyTVfTIaG+ebqnEDi4+w9hn8n82msr5U1GSA+RvTXcmM5GtfbEiRi iBfbLpY+qZSn8TDrm9E64snAu1FNGwU0FBa/T7Mm3pR9YvdqUEjD4JqGkw/x aG6X8rtIJRpHOeauxcSrFqNdw6rKNLKcv+RRJO7gX5+8NYOGfM2nRS+Jb/fp BkisVqWx2r5dMpPECmbmcp1qNOqmeU1PI/ENBwmVAA0amtOWb6si8SqvZzpS mjSqXYS9wv/+bz54zjhdi8YS1ZPpCSQOPbvNdL4ODb7dxkRTko/ijdmom0Wj UPq3QkmSb0Hll99df6Pxt0e6JJesx6r1/tpRPRpndwaeMCHr7R6KdI4zoNFo 4rD4CKlHONfOc5YhjeHKbgGL1Gu6hrJfsREN/4X/CvKIl28xXaH2c2i0XG5Z EEG8bG19LfKtCY1s/rlDEcTLvdv848NENJwTH/bntYvhYLBZigJNI2LxlC+b 9PNO5tO8JfNpHLcvuq3VIwbb+8l/vTClwTtgrvrxrRj6GraWeS+k8Zt7XUX3 OzGo/hpuPGtGQ1nqouyaITEUKt3vMFpCo1XLsOkJ8bOdcWRfxVIawiubVPYQ Px/dNH3i03IaDbHz3RcTP8/c+1o8cgWN5bYmx13ZLNyLzuWrrqTB1nP1LeSy 8PHuYu1VVjQ2N/KLO+VYiH4ibtTxO41XUy+WFSqyoPXmn3n+NjQShnxqi1RY WCe71SrNjsbGzpsq0CXnVddgzbw/aWwRZXNqZ7Nw3Gx4yxMHGp6TPCqUnM9S r6N7vq+jEXgtO367GfFyVU6y3RYaG+Yd0F6znoVnxmOZHU40Muvl0lScWAhJ trq704WGoWHzTBl3Fuq8B+qjXWlMJHR5+/ux4C9vJFXmSfpjkvDnkkQW1EPD lP/wprH1kGrTuhQWHvXU/da+k8ZruZihc5dZmPG3j8WoL6nPhdNuV26zUOZc EDY3kMbJX6Ne1S9Z8Kr9GfMgiIbEd9P2/+5DAWWfYhNMY2fEtmev37Gwg/O5 0DOURv3E97z8KRZk8qjB9AgaNkZ1AR56bGweK9wmH0fjW1bnnQ1H2OC4SexJ iyf5VjHtmfFsFNStP2CcSCNa46ij1gU2WOnfz1udpiE551RJRiEbuSsXvog4 T/azO8erhdz/I0n3Vw5n0UjaelRyt7M40qak1x3KoVGqMeRQ5CMOqx1Obvxr pP+DmUtMwsVxcdGPg7NvkP3iMTQ/n3yfLLqW3nO9Q8P2hTgGOsSROKfSsPEh DcEx2507vIi3F26ROlJOw1i74PiycA7KVnzrpyppNH26XOeQyMHgJr2sU49o +Nj8IaVTzIFNdKymwz80dtit3hnAlwD39RrF5600Soq1Hd5XSEDj/Ycvh9pJ /Q9DI7RVAvNGIhvmdtK40vqTshiWgLv03/EJXTQujPolhWpzUb5ATcq+n4bU tJaSY5FchCX2/Hj6jYZ1YhP38zoeki6Edxz4TiPSqXDl8B4ermcr3Z8zRiMn J2m5wQkeWkpXh8RN0ugLcntqWsmD6UDeF1s2A8NstwYwkvi8PLC/To7BWLBH Z7yWFHZ85TQ8NiRxa8OiU+rScLlu+czJmIG7loOth5k0HF0j64bmMIiSlj61 frM0VtWL1yhRDM5bxvknpkhDL49933UBg4igy5vfKMvgrZtY1vgKBhfblPQW q/Ph0TgZMtuZwdrsUyEFxNdOMWb7Sl0YLLO9UBhvK4d1CAuw38YgP7L5sbuv HCwLJnyD3Bns+LTwdV+BHHRjx90qvBmYSvjp8FTk0bN81HbTPgaDfI1j6any cLv9RSsmgUHB2tn9W+MU4HNk7ZT1KQZSuS6H51xSQNDawmaZ0wwaRyLSnt5Q wPGRoPjEZAbtBuVVh+oUULBofPLcJQbFVXP467kC3Ju2uXlTOoM1NZrTwhQF qGgvuaN2hYGWbtwTLx0Bmg6Ee6dnMlDn/ZOQvESA8Ypf/2bnMWhg7WfNIL5m n952xyufwe2g3qGNB8h73qMizvAmA+W9N89uiBFgJveoZcEdBl/5jqyYywIY NPdo7i1kYFVqaFmcJwCVazlJFTEo4joszCgSwNKae+evYgapUZEm5+sEsFPz jAu+z6CrOjY/k3h7w8dar0UPGHT/1dTs/pp4Pz5G80E5g/rK3wzGhonHG2Xi qmsZZGtuiVsvFCL1qq9X9GMGzpEa5u2qQlwNfLbCqo6BYg0vdpqOEEXTEyfq njEQfV/5Y9tc4p/+zy/jnjPwHEpKj5ovxON7DrftGxksbR9vsyO+6tgs9Hrx kvT/Mk/5yUoh+owCV5xtZlASmXNmv7UQQ1NNMze0Mljgtzbrf8TDY0/nT8xo Z+D24RiviPiPnZ78sq2D5BdSsR/Ei9J7R29dfEX6nxZesoN4V3H5xpMuXQxk u+cf1ycenSko9tTqZsB97H3lsIsQ+j0qK7p7GBS2nKkO2CaEqDB0ZuZbBkeS mVtTrsTfUe3j2/sZtB6r1FFzF2KFo/lL/QHST/ph21MS2+pfujXwnkGZ6tVk oYcQjmM/TuR9JOO1nxQ/kPGtj108fQcZXCtVVVxLYq/UMou5nxlUR2SvsXYT wn+X1szhYQYtKfyEejJ/uPnh8TtfGdjF/nPsDckvit/dFDjCIKFt6+RBkn/8 K4tbpqMMxOUsc7PJ+lJuXj0xNsZAPn/EdgNZf0YEx7Nkgsy/eDgngdQnz2G7 RfgUg0tmd4PtSP0KdWo0lv5kMGR6LzTpd+Ltr3rjv34x2H87fM9m4uH/A48d ZMA= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 2.0995645056484236`}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], {{}, InterpretationBox[{ TagBox[ TagBox[ {RGBColor[1, 0, 0], PointSize[0.009166666666666668], AbsoluteThickness[2], PointBox[CompressedData[" 1:eJw11AlMk2cYB/CvB1dpaw8PDoVyFwq0tKSEue37zzCJRBnKjI5BSVCBuMST TZgGYaAEcG54IcYRhgcL8wJUFjniQAQ33XTgicfSilpLmEJgigeD+bxP0jRf +ry/73uf/t/PL2PtklVCjuNWTX6mvllduTxVHA5UTdUl/nT9rsGdgQK6vs17 2JfyKoMQ0aapsvFbHGMDh8ZF9LudHzKXZk+vcMY77Rm/vFR3YeuoG/WP8MXR ebbrL2TIypyqMb6ovbJ7h0RJ61/yJ80nniedUuHdc7zmy69bOw3pavI4FFdv TQ69pqJ+AfIXhvTO5ZXki2COeXljdZac1oshaft5uzpFQvdzRvEifcWYjT2f K7L8ljwsihGT54a1Va/vFS5j+3PHT32v9NYYAXlS+M1/UrPlCkeeHCOJz7e3 qQTkKdC3K68+VSKkfgUSfox8UtfO5qPE+pF/BmfwzrRehVfnT9vnfsvmo4Z5 W1tRxzcy8qYjqt99r71PQd507D45Zrm7g+1/BkLeVmau+FxN3kzstXxyJW9I Rd4s+HOFWz/doCTPA+93FHpeu8Pm44GRnvz4+Z0S8jwRvOZPn8RYF/K80B8n vLP7KzF53vg6Wl9dUigkbzbMLe0t0kQ2n9moeZRQLr/K8jMHxwu6eixCAXk+ ONXc6h37WECeL7xnNTUPlojI00Ab4hBxw07Ur0GkYF7SnVA38jWYfX//8gGF DP8vN/nh3tmJxLIfFHQ/v8n+Fmvu5Fzfef7YkPs49Wwym48/nBKH5853U5Pn j6obG88lH2b5CcDtj7vEmxZNIy8Ayy7+JQuIdCcvELLgD/NlFWw+gXizxvvt gl/E5AUi4NeSiE3HWX6C4CELu/X7KnZ+gmCX3Hyaep0jLxjj2r4TEaMsT8G4 n+Bl8b7I5hkMl79Tff5IEpEXAonmSGfBYSfyQtCaqrHre1zJ02Jmq01uqJGS p8W8m/uOr8tk+dHCRxfX1v0By0cogvbsfyNcoCYvFEMrtul6fdl5C0NKzK0H uj4leWF4vDKGW3x+Gnlh2Fhb39l4wJ08HbZU6cyeDhfydLjAD7RNvBKTF47W 0Vprb7+QvHA0fJe+/qMCtt9wKDNedxjvcuRFoGtvRmHXE5anCNS5pd20HmXn LRKfdS+uXO0jIi8SX36/+Ux8qhN5kdjj0l32LNuVPD3OhLm05xuk5Onxb9PD 0eURCvIMuNogL89RqShfBhyZmTZueY/lx4CmZsel8Gg2LwOsthdr1gnZ+8qA hrRG3SMP5kUh5/QclLlKyYvCysvHclbHu5IXBbulJGfnPPZ/RqH0mI9XrFRE XhSEStOw5iDbrxFZ537bUTvAkWfEvi/E9d0PWH6MOFE9MWgpZXkzYulmwcLG p+x9ZIRLf65vjdqJPBPSk9Ma5FI2HxOyY+PKqjvcyTNBuzL9oM3BzoMJdVo4 MgaU5E2uP8odehHC8hKNnY+MKSlxavwHuhhwBQ== "]]}, Annotation[#, "Charting`Private`Tag#1"]& ], {"WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>}], DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{ Annotation[{ Directive[ PointSize[0.009166666666666668], AbsoluteThickness[2], RGBColor[1, 0, 0]], Point[CompressedData[" 1:eJw11AlMk2cYB/CvB1dpaw8PDoVyFwq0tKSEue37zzCJRBnKjI5BSVCBuMST TZgGYaAEcG54IcYRhgcL8wJUFjniQAQ33XTgicfSilpLmEJgigeD+bxP0jRf +ry/73uf/t/PL2PtklVCjuNWTX6mvllduTxVHA5UTdUl/nT9rsGdgQK6vs17 2JfyKoMQ0aapsvFbHGMDh8ZF9LudHzKXZk+vcMY77Rm/vFR3YeuoG/WP8MXR ebbrL2TIypyqMb6ovbJ7h0RJ61/yJ80nniedUuHdc7zmy69bOw3pavI4FFdv TQ69pqJ+AfIXhvTO5ZXki2COeXljdZac1oshaft5uzpFQvdzRvEifcWYjT2f K7L8ljwsihGT54a1Va/vFS5j+3PHT32v9NYYAXlS+M1/UrPlCkeeHCOJz7e3 qQTkKdC3K68+VSKkfgUSfox8UtfO5qPE+pF/BmfwzrRehVfnT9vnfsvmo4Z5 W1tRxzcy8qYjqt99r71PQd507D45Zrm7g+1/BkLeVmau+FxN3kzstXxyJW9I Rd4s+HOFWz/doCTPA+93FHpeu8Pm44GRnvz4+Z0S8jwRvOZPn8RYF/K80B8n vLP7KzF53vg6Wl9dUigkbzbMLe0t0kQ2n9moeZRQLr/K8jMHxwu6eixCAXk+ ONXc6h37WECeL7xnNTUPlojI00Ab4hBxw07Ur0GkYF7SnVA38jWYfX//8gGF DP8vN/nh3tmJxLIfFHQ/v8n+Fmvu5Fzfef7YkPs49Wwym48/nBKH5853U5Pn j6obG88lH2b5CcDtj7vEmxZNIy8Ayy7+JQuIdCcvELLgD/NlFWw+gXizxvvt gl/E5AUi4NeSiE3HWX6C4CELu/X7KnZ+gmCX3Hyaep0jLxjj2r4TEaMsT8G4 n+Bl8b7I5hkMl79Tff5IEpEXAonmSGfBYSfyQtCaqrHre1zJ02Jmq01uqJGS p8W8m/uOr8tk+dHCRxfX1v0By0cogvbsfyNcoCYvFEMrtul6fdl5C0NKzK0H uj4leWF4vDKGW3x+Gnlh2Fhb39l4wJ08HbZU6cyeDhfydLjAD7RNvBKTF47W 0Vprb7+QvHA0fJe+/qMCtt9wKDNedxjvcuRFoGtvRmHXE5anCNS5pd20HmXn LRKfdS+uXO0jIi8SX36/+Ux8qhN5kdjj0l32LNuVPD3OhLm05xuk5Onxb9PD 0eURCvIMuNogL89RqShfBhyZmTZueY/lx4CmZsel8Gg2LwOsthdr1gnZ+8qA hrRG3SMP5kUh5/QclLlKyYvCysvHclbHu5IXBbulJGfnPPZ/RqH0mI9XrFRE XhSEStOw5iDbrxFZ537bUTvAkWfEvi/E9d0PWH6MOFE9MWgpZXkzYulmwcLG p+x9ZIRLf65vjdqJPBPSk9Ma5FI2HxOyY+PKqjvcyTNBuzL9oM3BzoMJdVo4 MgaU5E2uP8odehHC8hKNnY+MKSlxavwHuhhwBQ== "]]}, "Charting`Private`Tag#1"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 20.}, {0, 4.842959461898668}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.009166666666666668], AbsoluteThickness[2], RGBColor[1, 0, 0]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 20.}, {0, 4.842959461898668}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.009166666666666668], AbsoluteThickness[2], RGBColor[1, 0, 0]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>], ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, { 4.503599627370496*^15, -4.503599627370496*^15}}]}, Annotation[{{ Annotation[{ Directive[ PointSize[0.009166666666666668], AbsoluteThickness[2], RGBColor[1, 0, 0]], Point[CompressedData[" 1:eJw11AlMk2cYB/CvB1dpaw8PDoVyFwq0tKSEue37zzCJRBnKjI5BSVCBuMST TZgGYaAEcG54IcYRhgcL8wJUFjniQAQ33XTgicfSilpLmEJgigeD+bxP0jRf +ry/73uf/t/PL2PtklVCjuNWTX6mvllduTxVHA5UTdUl/nT9rsGdgQK6vs17 2JfyKoMQ0aapsvFbHGMDh8ZF9LudHzKXZk+vcMY77Rm/vFR3YeuoG/WP8MXR ebbrL2TIypyqMb6ovbJ7h0RJ61/yJ80nniedUuHdc7zmy69bOw3pavI4FFdv TQ69pqJ+AfIXhvTO5ZXki2COeXljdZac1oshaft5uzpFQvdzRvEifcWYjT2f K7L8ljwsihGT54a1Va/vFS5j+3PHT32v9NYYAXlS+M1/UrPlCkeeHCOJz7e3 qQTkKdC3K68+VSKkfgUSfox8UtfO5qPE+pF/BmfwzrRehVfnT9vnfsvmo4Z5 W1tRxzcy8qYjqt99r71PQd507D45Zrm7g+1/BkLeVmau+FxN3kzstXxyJW9I Rd4s+HOFWz/doCTPA+93FHpeu8Pm44GRnvz4+Z0S8jwRvOZPn8RYF/K80B8n vLP7KzF53vg6Wl9dUigkbzbMLe0t0kQ2n9moeZRQLr/K8jMHxwu6eixCAXk+ ONXc6h37WECeL7xnNTUPlojI00Ab4hBxw07Ur0GkYF7SnVA38jWYfX//8gGF DP8vN/nh3tmJxLIfFHQ/v8n+Fmvu5Fzfef7YkPs49Wwym48/nBKH5853U5Pn j6obG88lH2b5CcDtj7vEmxZNIy8Ayy7+JQuIdCcvELLgD/NlFWw+gXizxvvt gl/E5AUi4NeSiE3HWX6C4CELu/X7KnZ+gmCX3Hyaep0jLxjj2r4TEaMsT8G4 n+Bl8b7I5hkMl79Tff5IEpEXAonmSGfBYSfyQtCaqrHre1zJ02Jmq01uqJGS p8W8m/uOr8tk+dHCRxfX1v0By0cogvbsfyNcoCYvFEMrtul6fdl5C0NKzK0H uj4leWF4vDKGW3x+Gnlh2Fhb39l4wJ08HbZU6cyeDhfydLjAD7RNvBKTF47W 0Vprb7+QvHA0fJe+/qMCtt9wKDNedxjvcuRFoGtvRmHXE5anCNS5pd20HmXn LRKfdS+uXO0jIi8SX36/+Ux8qhN5kdjj0l32LNuVPD3OhLm05xuk5Onxb9PD 0eURCvIMuNogL89RqShfBhyZmTZueY/lx4CmZsel8Gg2LwOsthdr1gnZ+8qA hrRG3SMP5kUh5/QclLlKyYvCysvHclbHu5IXBbulJGfnPPZ/RqH0mI9XrFRE XhSEStOw5iDbrxFZ537bUTvAkWfEvi/E9d0PWH6MOFE9MWgpZXkzYulmwcLG p+x9ZIRLf65vjdqJPBPSk9Ma5FI2HxOyY+PKqjvcyTNBuzL9oM3BzoMJdVo4 MgaU5E2uP8odehHC8hKNnY+MKSlxavwHuhhwBQ== "]]}, "Charting`Private`Tag#1"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 20.}, {0, 4.842959461898668}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.009166666666666668], AbsoluteThickness[2], RGBColor[1, 0, 0]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], {{}, {}}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 2.0995645056484236`}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.9293829823332043`*^9, 3.929419228574099*^9, 3.929419324897911*^9, 3.929429839151198*^9, {3.92943091474545*^9, 3.929430943928163*^9}, 3.9294316835535173`*^9, {3.929431766182007*^9, 3.929431795322749*^9}, { 3.929431898692911*^9, 3.929431922179853*^9}, {3.929432066811945*^9, 3.9294320719879837`*^9}, 3.929432144600225*^9, 3.929432718279077*^9, 3.929432819043262*^9, 3.929434294260228*^9}, CellLabel->"Out[44]=",ExpressionUUID->"594b2331-334d-4787-aa5c-66be94eb74cc"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"0.5", "*", RowBox[{ RowBox[{"g", "[", "t", "]"}], "^", "2"}]}], ",", RowBox[{"V", "[", RowBox[{"f", "[", "t", "]"}], "]"}], ",", RowBox[{ RowBox[{"0.5", "*", RowBox[{ RowBox[{"g", "[", "t", "]"}], "^", "2"}]}], "+", RowBox[{"V", "[", RowBox[{"f", "[", "t", "]"}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "->", "All"}]}], "]"}]], "Input", CellChangeTimes->{ 3.929376499350833*^9, {3.929431503604474*^9, 3.929431555761045*^9}, { 3.929431801996541*^9, 3.9294318833186626`*^9}, {3.929431945324794*^9, 3.929431972123706*^9}, 3.9294320903146887`*^9, {3.929432154099374*^9, 3.9294321819003153`*^9}, {3.929432217610045*^9, 3.929432224434525*^9}, { 3.9294327213429527`*^9, 3.92943273669625*^9}, {3.929432824393655*^9, 3.92943282722596*^9}, {3.9294331553051453`*^9, 3.9294331563782463`*^9}}, CellLabel->"In[45]:=",ExpressionUUID->"1832ab66-6ca0-4d3c-a5ed-b33ce9786728"], Cell[BoxData[ GraphicsBox[ InterpretationBox[{ TagBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2], Opacity[1.], LineBox[CompressedData[" 1:eJwUmXk41N8Xx5mxztgydoOJilBoV3KOkJSyhFSSZCehTaFEIdmSnUiI0EIh slPJEl87EWUJkX3ffvP7a5773O28z/3cc9+vZzZbXDWwIjAwMKwzMTD8//fZ XQsWJcvHqldC+x3ybA8ermqm6Zyh2cFY9cLv0wfnVTe+lPjQaLfBN2WJ8fYh AeAKy3tH6vAGCfm5a95M2+FZWZAEM+0RbN6bkminug/kJyyDN2xCgEX4E9/q JTXo4UpYX20Pg1GJ13bf2LVhy0v2fcsrEaBc7r//NlkfHA/fuLIgEQOmwlIf /mgYw/uWvpRZ9XhwvsOTcEHJFJYddLqnbBKhzPZCzwPbS/CcsfvRgmYSlPf+ 4eHitQKN+idb59tfQL5lpfhlfjsYjtYqn7VLgTj/61bPXK9AoOWa6cxKKpBS fW/+5XOB5hXb8EmJV3BkcjLq7OmbcPOruOJEdgasR8i/PLrvNog8bakdV8+C oXrVPPujHmAhi8S/Nm8hiCvNVfvWfSCs3GmY9XgHcun8b8+p+0BLn5HYrGY2 dLZYftm67SG4ZZELpttzQPimTS674iM4HjbEMv38PYyybXDvPvMYqG7lhlN2 H2CQZnxif0QQlKnfmpxYyQWlP+PPl2SfAOuP39LjEgXQai55Ou5GJHSUFd8Y Gy6A7Wj+SngwCjJeRlf+zS6EW9vve8qax8Ap11MXR9WLoHwkrkzwdjxEshdG /rEpBYOdwjvOxiXBh1vHXa8JlYFHMk9Hxv0XED+6X3jGowy+slWvdV1JBqdG XptpzXLgvxq77feZVOCNryZMtVdA1rdx3Z+ur2CFK++Vs0olCPeEDt3wz4CB +8l6k88r4QZb8wQxJRPybO4mTNhVgaTTc2me8ddwbveeg/9WPgP/w49xLy5n Q1JNostfiW8Q5ip26WlDHsxG58r2Bn6Do+Z6tpWx+XDUpra/aekbTM4fzouw +whjxAWjwuYaOBjjLSrHWwgHDp86+MivDnydb7mZhxRD49tVgvREA1zdF2C/ NaECeIHdjHNnI/SZkxSubK6EQ9vCD/pZNgLn/vi6uJeVEDz7aubOf43g8MM6 8H1eFex50mplkfkfXBTvaF4Y/wL3auSPK11shqWK82H7CmshPTt/W2ZEM/y2 kA5PM62DpugjxK11zSD7abuCMGM9bLExKRJSboGI6ldKzHrfoYb4YCcDpRX4 3HvkhX0aQeDwD96GL23wNhz0S+2bAbdYTxxba4MLQYJs9vR17MhTtRW722G9 jZ+4RaEFijpZHuY9bwd/74Dv3xZawOLmroVndzqAS+f99aWINnjz9tEPx51d wL/08YgCexeM8o4GHr/UBT/iz5ddv9EF0jePq8qEdwEzS1xR/u8ueK5CTupf 6oJX3RGxB8p+QNi3QOtzn3/Ay7KQ1H1+PXCzP2RKy7QHwuMNE5pf9EHO0ckX W0N6YFUQPjL/6oOJV3qGxIoeGJM7fOCTxC+wdd6UXyL9E5K2uvtmJ/yCc2th HntnfsLRgh/szS9+QyK51meTZh8sxzN921o1AKqH3U29zPog48y2j29Ig9Dt JLd34lYfbLjlnCrVHwShpsdDdRl98C+RfN3t1yA8idbR9uf5BRVRLpH6rH/A Z+t3ro0fv+CB3IHgVscRsIH/YsZc+2Fdd4X9RMo/YHgxX/jjcT9sCe0sGF35 B9FM1O6alH6YYI0Z4DecgOpv1uKv2vrhn3xkKgtxEmQMV19YHRyA0cI4pkMf J2HYVjrrJ+MgqAW1LNgqTIN9mGdJY+gQsPDzN3HqzoHT4Pb+D29GYLYnbqVK bRX6zDrZyr+NwO0cHTWDB6twusN/Z/3ACJBlJ2KEv67Cgdo/twdFRmFs5FzL qZNrQMxO5RHwG4XYOOk1UdN1iPbYrHrr4l/YVT3xJg8ZsJwiHKPMMw6T29fz HK4QcE9QdYmm3DhIjK0F7gol4EsWtwH9o+PwJiVoYDKHgIFLbQr2HuPgkZXy +NQiAY17w7/EDo/Dd1cdtPYm4mgGz+xK2T84/mjDvyKMCUmbH0j3HpgExgBW tYPxLFit8kThruYk1LUlJcQXsKCvScJ+MYNJ4F3e71vXxoKE0I9a5x0moapr d2IwDysur4/ZtD+bhPrtzRev3mfFv91G6Q2EKZC0vB5/8AwbZixavHPinoLf R9qP5TqzoS2f80dO6hQImOO7/kdsOHAioPrE3ilYuBYhZfSJDbsLS4a/2kzB eZb4AlMRdqyLlt5eVjcF/aP830K+smPAhz1KFzunoCasIfv+D3Y81qimvD44 BV5CnLs4J9ixitVUW2VjCkRONz0Y5SNh0c1Qu49K00A8H/DoyXkS3gl75nJG dRqivWcOSzmS8MCbjNvzx6ch0KW0Us2DhB8Gqx7tsZyG9NaQdfE4Er42XHr1 LnIaHosXl+xsJqGjM0uObvI0PHfh8lrpJaFsIKXw39tp4L4lXnZsjIQvK3fU yH+bhqCpkTIzIhktew821bZOw+nP7QFbuMgouaLVZf97Gu5lbB6yFCJjwi6L 0fSVafikfPyBrhwZTU9dndZim4Er1wgj87vJKGLvsTzENwPW15mkKCpk7Hj4 iOC7eQYOB3bVvlAnY2RSJGnrzhmoasvzSjlORsPiZN6qgzOwQviwsEefjLyd 70Qua80Am8eRjmNnyNg4WyxJMJyBxMkfiTWmZAzmqZVNMp8Bs4jQPx8vkbFg v1juKacZ6C8uyre1JuOA2VVYdZ8BPgXXfzb2ZOTxLf/26tEMxAwqtXy4QsZD rymGZ6Jm4E/x7/yTzmS0brH6yZQ6AzteMk0oupIxbCXfNidnBqKPDLSaXiNj sSRp5mLZDPwjNjQ00NvD2qaenN9n4MU7LS1/epvP5Q3rpx8zoGx+6M0D+nyI ZgizHZkBzpF9dyvp69uXGlAFFmbgbln8AXUnuv6hlJeVTLNw5+QPa4IDGcs5 FxRdeGfB6XVy7AY9/rE92p/EabMQ/JfmpGxBRiHTOM26HbPgn6Hw4A1dv7rP eMPtQ7MQjZH+F4zJ6JQB56S1Z2FU87Cipi4ZY/97MtBiPAsPI2yVLbXI+Hmx 38nbchZsyyYdClTJOCmxb0nBdRbkZjxi1PeSkarl79NzbxZmTxY/Y6Sfp5ZT F+fjoFn49ibVbFqCft5FdyWH0mdhMHj2tw0rGb/1N2Y9zZsFnp9ZaaNLJJwl Se1Xq5oFB//t8vF/SXji7NcT8b30fj7VGb86Et70Em7THp+F9mevw8o+kfBF moP5wvIsiFE5s7ZkkHBxjvuGgcAcmHkLBjk+IKGUmMXGhtQcXHYZ4NN1JuEp jQ+PXivR65aqVdQ5+n1IDTNJYDs5B8Z8PgmjO0nYWJAhk3eO3q8ccMpJkISr fas5l23nwK4/Xk94gx0NFJK+lvjMwfWgD6oDtex413hG3/HJHHC/fPGNmM2O rzw1u4UT50D25tyAdgQ7MtSNTF4vnIOZ2C3vtc+z42vbXSJyU3NwQKvGXaSH DTtCHqR0rM/B0mufcWf6/WfKb9vpyzEPpTMnrCai2fAcs7v6L+l5WLh3x9pa nw195evrg/fOw39b6qjm8myYfVrCREV9HrbSInY/YGFDtheVjlFm8zD85sqr Ux9Zcfc3/gUNx3k4PTRHWghiRbNJm/vTt+fhdYlqgJw5K+aqckSejJiHj93d P7QIrGjxw7CUWDcPfWXnxN8cZkFS3K8rLp3zEGMVzJFLZsGcc07U3qF5GBkm 3+bvZEZil9/tQsYF+GHaNDDpwowpHYW7XfYvwP2zv7huxTPhUCst/eeLBRg9 xXqX3EFA+8ax0ILbi2DXreNuT14H3tDbIO23CKLb74QzBq1BoS7Lv/DwRRA+ 8HP7aa41IDdInHB+uwgr0ku2J3hWIavegFl6cBGiQyiEON5l+Ffz8Xa43hKc +lRipCo8Dy6fH1hclV6GPcuYz2w2BuIDR1nmdy9DncVI2nOPv1BLYM/wwGXo X7/zM/TZKGzFoKlHZ5dhaF6gsGJoGDoLI7xSHi9Dy3gbREcPgm/nmS1y0csw fjrmCLluAHYvCldnpyzD7oKhsKuEAQjam8BdWrwMMX4PUgzdfoPau5cJnRPL oKp//MQ8Xy/8+257xHx1Gd5tTnWvedMDceOyQ0NsK8Ai3q75VLcb5mTf7pjd vAIRmRl37r3shFep+UVchiuwX8rkJcvrFjCuum0eYb4C4iNe16rvNwOx/xAT 9coKpHgqDFibNcEFWtmJ7b4rAJc7Hj5XaIRNcdVd6h9XYO4d14CpXTWUFATc ralaAeGLnV3EyC/g0KEjqf/fClTe3mjobK6Cz/z/2ZmN0tdzv/w026ccXPc8 5RycXwG+J6Ui639LQeK0UbYDcRXuc+7L2TpbBLdDOxfdqKugYrWTVcY5H7a9 jYvfkFkFM9TJvT/wAZrrL6Dv3lXwSdf4ZeWZA15jEgMcR1ZBzVhAi+PQO9hB /u339NQquOvyk04fyoKu7SlyIudXYUClSOnn8XTwO2bd8NxmFdj9pQsFUlNg j43MNenrq8A0NsRx+ngS/Ho4KvDGaxX8Lep8v9yIh+CUrMI9QasgXiGrKfkv Eg5VOpl9ilmFoaD6Hbj+BIZ/KRKOvFyFZobHFXtOPoYIhpnU6pxVqLLU9FZp 8IEjErnauqWrMP25Pi2bxR0mDt8ab62l71dXmG/R4gzxpspPTDtWQbIzZX/H +iXQdl/Z0z+wCrqiZp8Gy3VgPqa4w25qFbZVnYh6x7sFkj/e85hcWwXLawKF zFOLqnrtarRbpDXYwmz/5SEHwtocsWpNYA3C3aZ0Z+3OQgbfF5sHUmswdGKC haxlD2d2+5PJimvw3uKcA5reBCaD42+fqKzBQYpJJDPhPmQ7c5wW0l4DgdEe AWZOf6iLpdx+bbwGF6KKZ/38QmGoSiTxiOUaON86XJVfEgEME5s/t7usgVKb 98mnmXEgIrz9r+O9NRDLkN9atS0J9qgrbiLQ793kOTHXxf9SQPfK/v1RsWtw TTOwl709HR6Ua/qU565BvvLtC6Hz7yDhr84r48o1cN/nQE24+x4+8hs2/G1c A6NhVZ93u/Jg3M5CVGBsDVI9C4yrxIqALdxOLXNpDWp+dxrJGpaCZImzDbKu w6whv8Dbc+VgzHvvvb3kOphzCe60WKkCZxXfzg2FdTBg1SkS+fsFAqyDNsIP rwMq6m+4TVRDaWHciVKTdbi6eLHnxN56kLn8sZ8Ssg5Hdse225xphiNBpeyv 4unzBV1vpCa0gGn+FwXVjHV4cTsx7/BEKzwht7rbfl6HrKvOM2OZHbD8fopS vLIOKmLHqLwhP4Hv56KyAfsGiO3RlfHg6oOdbAzmfwQ24La6eIpnZx9cNuXK 2rRrg35/0h8YuP+GOiY5DWvbDbg8pdSf/3cQEowsr3O3boDc6k0df7txSHJ3 GFU8w4D9Yp/vc8fPg2IZ+6LfBQaMfVWqSOJfgDKmdObeywzol7bZTSN4AfqC BmhBzgwoUX5kyvD+Iog/v3Bm5BED3g5aZZyxXYbYKt2qpCIG1HM2fZm+bx1k 2f/9t1jBgD7Dm50j365DwcnAXt1vDGh5++CfQzIb0NFWvbzWyoCMbZLBRzkY UGBETencBAMyK35u2LXMgGGcexJ4JRnRyiY2da2agJIGTZl2MozYwOv3T5+R iNmRzgVlOxkx9/lPfnVlIjZKvG5xOsSIH7ykRMbTiMi1axu51pARI5bf7F26 x4QJN6uEJM8z4qTiFa/6D0y445PFttuXGPHunb8Rm0eYUEcjUU3aiRF/L+pI HdJjxgBjITcfP0YUyX4X1CzIgiJxeQ+7ghjRTJ25TPMYC77qNXyqFM6IxwLe hlLd6P7c9smb3ueM6MeuptvUyIIs7qTBQ4WM2LrzS2WyKytGlqZPh5Ux0n25 kppFDCtuZdJiGP3CiHMDNe5XS1lRI8hHNLqZEUV7Hcxd2dnQO3FVf3aMERX+ +joRIthQT/Gji9wMIz7JcV29ncuG4uXXnlgsMeJFQ1ZQa2XDwt+jjY3MBOzd UdlbxMuO01s7dV+LE7CgoXXd9CE7luWFXx3YQsDMin2njj5nx2AtvRBROQL6 mu539ShkR1m7r98f7SfgZs8Hkd/H2NEiK/ektR4BTSwZtrBpk1DxsMuVZ8YE PElVSTIyI+F6vXxQiykB/aR98iZcSRg7kVx3xI6A/Znh6qRYEtp6XRy7fZWA rOMJEo+zSLhvkyhH9g0Cbvo+fv5sCQmbdoWdkPAmYHfuWVov3a8/rzzpYOxP wGF8dTpqgoROhuyPg4IJ6Pn+wuGEdRKSbnrVrMQSUFxxfChGhO63WVRGdyUR UMshKTxEmowvoxbY7dMIGJO9vaWV7s/VCpy0O94TUGdq5yFjuv/mOi5rx11I wLu9C8FPDMnY3TXof7SMgPosf+skzMiY4ZCU7vmFgOdvZzxjtCGj26pp9Yc6 Apa9IGTvv0rGo0FCw3+bCKjAVVNccZPuh8VbWKU6Cbjdsvx+sicZf78JkT7X S0CfiGvlXT5kfAcntJ4MEvDsfoFjdo/IeLeRxab6LwG3ctv/0Q0mo86lCt+N KQIebYi7FRJG54lpz5f76Fz4gbi1XSaS7r+9lb9cWSfgFoXXo9QYMuZR5gZT mIioL/Q33jGOjA9S3jF3k4hYoOX7U+gZGQ32Om6lbCLio9zFVMkEMtK+SGse FyTinzTniQB6+59xv+V9MSJ6lecUGdDbRX8SHnyUIqIFrvK50+cHuJ1LmdhO RKUrg0zM8WQ0YReo2qZIxKiDGglT9P23xf7Xf2EfEf9NHS5qpMc3KxtEjFCh c+ujgzNp9PgrPh2TqjtCRObkbRWDQWQM1WFSJ2oT0WrwWMpjfzKa9ZRaHNQl okzMeeE4bzLKO7l7uxgRMZVmm8rvQabfi30v0s8T0aTqRePqdTJWh0yX914i YlrjUWkDOs9E0t78ErAlog7zNWVBKzq/ZdsxnnIiYrAxS9xJOi8wNPdh0R0i qo7Wv+bTpudnpCTpzn0i7j2W4FF6mIzsDM8Iyv5EZE+8vKlGic5fO85W5UYQ ccS1aoGFzntR6vu3Xo8noudIg/9hEp0XzvH77komomPpSbPuFRJu9ftP6+07 ur4qWc/zPSTMePY2/Uo+Ef9b6NmM9STc+SGIXb6EiE93nyyPKKLz6y/t2vRa Il4T9vsSH0PC44cqTr0YIuLj6asnTE6S8Lv+87fm4/S6NZbMS1Qm4WnbuzwS s0QsDewrUNxCQtOIg01xjEz4RJi9SGyJHZ0mcowiqEw45d9mcPcZOz5NTjb1 N2BCywDtvLNNbChUeL/46FkmpITd3qGRz4bxjRfFmc2ZULovi60tjg1fron2 3b/ChDmKswxLl9nw45nwy+7+TMgl2X3CfZIVu8kP7Z1KmPDz0XwP61UW3Hbd 2s1QlhnfqHAfNWdkxh0He08nKjLjsReh41W/mXAPg4nC6D5m5B1syeKqYsIj gdpD99SZ8T9RLpKxLxOapcgbZpoyY7PpAa4WdiaMbJlWIIQwY/LYvLUvJz2P e+/9eTvDjALvD5kqcDMix8pCxfISMx4670zRo78DvOXOCZoMLJipkXTgVgMD 0k5aGP3gYMGRZ4ZO3SEMqGKlWcmyjQWTTlteFd3EgNcjyIkXTFjwobVXorH8 OgzMRRmTi1mQosnSUuK2DC/Udl/rqWTBoVNMli4Hl+Fi0PeQtzUs2E/c8dJ0 dQm6tjB/O93Bgu58k1F9Xkvw32nXQ/EzLPjAKHbmQ+AilGTr0HbI0us4TV5L 5d08RF1hHD0VxYoD4udp4XIzYFgQz7I5gRUH53Yyf56bBl7mA1IzKax45Nli p3rZNATHO5lG5bDiWtbtAzuMp+FB7Y/vvfWsWJZpbPfp4RQ4b89778zEhpGa Y0YeIxNwfNDeM8yFDT9D89Dfg6Nw1FMqS8ONDcn5+QY/h0bgCH931/xdNtRo umps93QEDmqePHA+kA31PZ4YHPs3DLKpCjNSaWxYrDeitCXzD5CtZm1zu9kw bHi1Y7PaILCtZUXZ9LMhw8Pj4T7zA8AUYfVFeJQNbxpVat/JGoDVqjapuwts uHB3f/JWkQEY21Lw8yj9XfEfeTDiuEr3FwOehh1a7CjafEbXu7sPqj32+QSc YseByXo1vrg+qOKbyFYxYkdpR+nefef6oEjDnDvJgh1nBlR+nv3QC1kpR2rs PNmxlTdNPL28B4IsWXElhx2flzKceMnXBacGQuXExUmYk6bVGBLcDHVyAy2m 9Hvh8WtfkNXeZjhxbf/dOFkSerWSb4n1NMExws9Gof0kPHpImU9JoQmO0ORu UvRIKBDHFNDS0wh7TT+XsXmTcDvv1vKp6jr4kCxkr+VPQhqLppH6rjrY9deB 4htMwnRquI3Gs1rYeYfXmhhHQkHvyzQ9txqQib5IXn9P5/S/VvyOR6qB2rJk NDNIQq0SU/a3W6sgVvTkhtIYCW/uM1awf1UJwpefpztP0/f75gUVOytBYPro yjj9HVv7ff+rhmoF8PCEPx8WJCPLX7UnN5zLIPjMH21pcXpdKtTjW2YoA87E gzNWW8h4zqdDeNu2UiDt/KXZr0h/Zz7wxa/eKgaizs6/PfQ6V/JKftxIvRC8 n94Pp+qRsWclYXjeswAYfrQcPm9Mxv+MrPIzP32EVTv30A4LMsYqXnp+DPNh 3q96b7M7GR/O1i8IOn2A0UoLr+rXZDyx106u4cMbkHjSYR/8gf7u9IRw1Lu8 BkOzU0aGn8ioy0NeqdibBSWLyrJ91WRs5Hdv9m16BWE7NrUs9NPfycnEKMaL qfB12bekeJSMMtueeBicToHVr6vpPlNkHOIIEfU8lQzWFsOe3Bv0eGoY2vXP JsGhqFJpaREO3Ctdde/Q/ThwttzLO07jwLUbHvVlbTHwUilzNUeaAyX4ZOq/ KEcDT13kf6p7OXAHNc1BVSYCNGM4iphUOPBrzLRi6vuncMfa+2XNEQ5cfc0x d1MnDAYYnNyN9TgwqfrocLBOCAh/77einuFAe9ZQ0dvfA+FU3Fm93xc4cJB9 6guvQwB83Ku51cmBA7kELUyUZh/COOET9x5XDvzIVGeX2ucDko2Ky0tuHHjM q0877c99CLSnNjz05cD91qDuGOAB5fvDCk4EcWDsrMolu/23YZ6JLWVTOAcu Zr28fUz4Jsg1eQa3x3LgD9vLL1cVroF54ozbsyQOdPKojbvt7gwRjnaXL6dz oOWwhL7NggPUKPee3P6WAxXbNR3gkg1ssBgdmMjlQL1FtUDrPZdhT0uNZG4R B0oLTHQ/+WUGdknI6V7JgU0HIhnS5U0gwSlvAWs40Gdm4euYtgE0H5L/zfIf B4oWNOdaXT8ObOwv6uraOdDc2eiU0JIaHG4TzA/7yYFs5yhWlbgPXJODkkwG ObBRcH8RpktDujMxUHyMAz9xKnOWvOWFnsO3bw5Mc2C98o49vqvDqrzkCfOM JQ48CT8Mn/6sVD3WYXnCmYETU88qb0idYwHP1K69+1g5MfOx4fVEy82Q46pH W+XkxNb5Tdml3UrwB76QKvg40cPgRYLXcVWgcqrM+Yly4jDDHc7Pa0dBvyu7 96QkJ5ZTN74sHNID3zTpGsp2TvyRfd6z/5sRfLr+7EOnAidWX9whkCVjCpNq lMTEfZz4Lf65/Y6sS7CV+9Ejq8OcmP91ctQzywrOda9fk9PgRM/r15h1+e0h 5NV1s6njnBgQZZP4asgJqm6OHsvX58Tj5fNMOjyusHNTm5j6RU68peptovjn Fp3rh7wjrDgRzVyfeA/fgWekhT9/HDjRxSdP6o7gXeBgEsoJdKPrK61cO3jP G6q8ZAR773JiBevRBY3zD8B97YCH0kNOVDm8cFzplC+Mzp892vaEE5tFS9Mq 3QLgxTX7TJloTjw4dS372rtAODt5h8c9gd5vlCogshEM1SNxXRKZnHjTv+rW u8knkNrd42RXxYl9azZu6heiwPTsv+ZPNZx4+pgRUac1Gvja1g9w/ceJu06G wKhJLHg3SBDf93Bi46B08oL3MzCvuBS1Os+JoYavT1krvQAhcF09tcaJ0tLJ kquiydDwyftSEpEL2cRnHZ04UkA1N1nuKA8Xzs04eE2vpwI1fbA0ZDsXLiro qFbKZkDLlvktvxW4EF5MD/pqZMLjJJaAPfu4sIjfk/mwZRYsx0obdh7hwstu eauBuW+gI8huWNKUC/MU3k+SGrMhlHTn5A0LLjRIJbr0X88BLb+AnK+2XDjf 2FTRSH0PeV6ZHo43uDDuKf+LxRsf4Om1cZ68YC4klE3Yz+nkw/HJtRtsEVw4 NNXy9jLpIxCucP04F8eFfIKF74ZrPoKztULqRhoXdqq/mFc1KoRTZ12Utcu5 MHNVssY4pBhIMHepe4YLEza0WUNPVoCbmgxb3jIX7uwQJEY1VMCQ+vk3IYzc GNSv4uxzuhIqjpUvH+HmRie9BR7KpSq4YxD09JUsN54nvGo49PQL/LXa+vnm JW7ktb9srWxUC+dsTRz0bLmxv8elx3K+FqrtH2+SvcqNk2NWSmExdZBydepC jwc31kR8NFkerAfT28Xz6tHcmM1+NT3+RCPUBRrJbGrgRgrdt6bubIaDIf7f R1u58fXlTOavIc2Q/uTT9apu+viJE8nLU83wIHJz+a1RbvynkDcRX9AC4o3z 8hMEHvSmRkK6cRu0dVZ8NhLnQelBp7RPtZ2gNX5uQdKIBwWCzn5u+9YHCXw+ zfdMeHCXxiXsJ/+C2UOZb7vP86CK1JT2g1O/4HnAik2kBQ8+eaOR+bD1FyxL x3ewO/Ng3T7GTU9Gf0OWRU/BZAAPRoYaq21VGgRCAHPkyWAeVMp+bp3pMQgm 2TtcM57w4K0WpvC66kFgZrgraxnNg1/6NJ7/shgCs2fice2pPHiJjfbyUsIf 4Om46FFSxoOEG+oSvLtHwXrDz0S0igf7O+Ws3fxHoWjbuz1uX3lw6sETVq+f o2B3g2Fc6TsPWnWd5twX9BcqeJMupP7gwQvC+xQUF8fg+snfqoHzPGinJFyq PD4BHRWWjOfkN2HztP+/L9Iz9HrSJeKpsAnN4vRD6s/OAGu57p7nuzahgqir AH/gDOwrPWgzdGATJnBe0bKamoHwTzz1rpqbMMXzv6b1klnQ/VAU/dhsEz6v J258sJqHL6l8isWhm1A/NO9cQc8S5PpXmdHmNuGNPcw9pZ8YMP14rZDf4ib0 lf44+66HAWM5mprGVzah3Kk/PWkbDOgV2nv0E4EXf7X2yiarM6JO9PJOYx5e TK3df/Z9LSP+TlPceCzHi7HG7Kx6PwjI9TU+ceESL0p5KImVTDIh46Pks2ZW vPi7IPXv6U3MOHs8g/LZlhdH7Ca9mHYzY+f3fL+wq7x4/pG2OvUWM6a0NV3d 4cmLVK3nKW/XmPHgEBtejubFQdnor2EEVtyRzr38LY4XU5wbVUGSFWn2Ah8U E3kx2CV/21s1VmT+JyWznsqLmWkSbo33WLFxTpUn5j0vLjzI/de1yIrWzDf6 vn/nxSyag4Eg3beKSHxrX/mPF7cXyF3bPseG3w+INci08mKe9Y2bfzjZcZ/j 52LvH7y434M966IqO7I088ftG+ZFA04Fd444diwcswu7/JcXZWKbzmtn03mK peRR6D9e5LlgLSf1lR3blK3dRmd56TrlNr+cYsfU53lGCYwUTDNL0c1VI6FJ IelkLRMFH/RKBacakpCjxUxjkZWC5u8O9kvZkPA6K+tuAy4KWm0LvF0ZQEKZ zedl722i4Nft+by/6D6y++DbzVl8FNzaEu36MIuEGk5neFhEKVjMFqJ9vo6E i36ZrLvFKVhyUFb60Q8SZiVtrF/cTMHw3JrofaMk5GtNGy+QpqDw01ExdhY6 H/9bGRiSpWArOT5DlkJGDza9bspOCgYTV4qrJMg4cGix5soeCmYpP0jdu5+M 0UY6FbH7Kch/oX2+To2MOlefF3w9SEGGMFxrPUHn50ez72YPU1CEyVNR14iM H14cS9+sRkEWvgXyfjMy2hbFJ57SoOB3pj9cgdZ0Pm6bjHTXouDeiWtFOk50 HzihEZx+nII1yy1xt27Q+Zs95mHrSQr2drseINP5/oDUuAdBn4IWz9glWej8 P6aidl3BkIJ3k2rGrP3I+Nw4wsH0DAVJq3eV5APJaOg8YvHoHAWHiBlBhqFk ZAs4fC7vAgW3KGYl/3xKxqLkJ/r95hTcUB4S+RZJRufiwWM8lhSseNCdyBtD xi3tynjYhoJnas8NFMSSsWMyaL+9PQWnKNGJxXFkDCT93hl1hYLHRs4FU+PJ iFv2batypmBDp9i1Vnr/7OEAsalrFGxW2SPwhz4//cxPPvFbFDx0eEJTj76+ qcsujhN3KGggW9nGHUVGnse+RDdPCmpxXUneEk7GqpSu5RQvCiYFCAUF0eN3 K9k5/Z8PBS8vP3TXpuuT7/AeWfeloEKX4oUzdP19U219cgEUlL55UzrvPhnD yXIdJkEUfNFT1GZJ9+nHtt5reBhKwXZqrJPFdTKuqjZ/yXlKQcWilaXXjmS8 7OqeyxFLwbKQlypy58m4b9fP3O3PKKhGAPVgfTKSpjHv6HMK2l088e2IFhnf ubDke72k4AUBksEzOlf4KNnlP3tFwWhZmT9qdO4wnqrNL8yioHFrN20vnVNW nZ98nM2hoMf7vnWmFRI2KM5+3JRHQXXTCzf7/pLwxaRxwc4Cen5eCymzdZNQ 25laaFtKvw8UTD1YSMLIq2mfumspaCMHuyWcSGinQCpa+k7BhxZd/XpnSagy 4Vgk0ETBfzzWHbXqJOx32lWs10HPp6x8WbwACRWdikuqBih42u3FjrT37Ejc SSv99YeCT564mUrE0O/vuHfp+igFOxj+aPTRudLjyrGyA1MUrPviVaeiyY7f HJvLs9YoWL2zlNmmlg3j5fdVfGPgwwuNaxzHM9jQeSy6YojIh5XChq39D9lQ wNGskkbiw4wrKje4D7GhhcNIVbgAH+oyWkjcfcaKq3YbXz0U+PDqFd13oRos 2LDdojpmFx8yB1ikNwuw4IuRquq8vXyYQ+PUezTMjNp2Ad8mD/HhruPSQcYB zBhpy19reYwPGz+q1JR+ZUIFG7nvOpf40OLn+GtJeSL+tJO4+tqSD63MFNpg moCBjhQeLls+3Mb4Wno0n4AjLiv6DU58OK/O+X5OjYDJHrWt+h58uLcxcsVY nxEFwxx6jKPo+xvNfSwsX4eNoswx83o+jAqTPpNdMQ9vShODyhv58F6CUNhe 5XkwrXi6U7KFDz/P9IbvfTcHBV/dnfu7+PBAk7X0YOIsXGs6MWs1zEevG2+F k/ym4c+fvyv2RH7MVmivEyONQ+Rob3wtCz/mHXkKCnxjoDHefFiexI/fTOt+ L9H+QtL0p3vjPPz4VlqThaY+AufXHhOdxfnx8XC7vnnWIDTwypNvKPOj0wPC jt8nf4LqlSsjcSr8KLAiFJk03A1vvr75WgH8WLqzgT804AcEeyg94DnKjzXK 7ZQbAx2gM7RvLdOAH1uuyEQ+nWmGInT70WTEjxwZEpNMtU0gH1dQsGTCj9q9 +0v9M/4Dsp7KTa2L/GhS/rrmDFMD1BSoTfx2oK8/kP5oWP4rHOTzqWe/yo+/ Jy483mLxGTKcqjIVXfkxWvxx5ER6JTyS0rK968aPoLiuXOtQBoue/kdT3flR nHPD6lhjMdh2fNtSd5cf1w4IDCmPF8KxIJ1fwg/5MXXH9amu8Fz4+CeoFP35 8Q33lbME2nuQPtLwzOYxP240uRDONr6DyHgej+BgfrzC0DG1Vec1sCzon8t9 wo+H/P5TrjjyCm7qPz3QHc6P9/bMq/5+kApDmS0CxGh+NJd5yvCD9wUYswjM bY/jR8s8X5pA2zP4bH6mWS+BH4/dqMsMp0bDnk/R2beS+LHq2kkZjvUwSOHv CklI4UepGxKhw3OBwOcs6vQ5jR91PbOUrkg/hAc1pjpjGfzoeOjeYoGkJ8xu SZClvOFHjb//vU2xdYXL93rZDmbz48x5Mt8OdUto6qT9Mf9Aj694V/pxZX04 ssfis18+P7Kb7wG7sR2QE5yc/KaQH1MK+V3rrFtUJUcG7rcW8+PIobCI/sUD EKa+zXy1jH7+7T1DXgeNgTHBRlWqih/TPc8fGCPagvNiOvX4V35cv59isjZ8 HfoMRpeda/jRXSwWbmz2Ar3Xcp1R9fy45Pg9yZTVD8pYr+SXNPLjYNCKZuTW EFC0eBMx2MyPE8Npz98fDofnRRPXONr5kW+xTXbVJwZ4BJUMdnfxY7DCv3VZ q0S45+KqeK6HH70ut4ibTr6Af7Xvue738eNpTZslFveXYLZtbiytnx9tnX5w aRhkgOqPW6/mRvhx73X5mQeu2fBmb4EfdZwfp5K1uwYb3oNY6LKV+iQ/ftd9 P1ltkAerGp6ST+bpejNNI2WqP4FjYgnDxyV6vKZnGbcVlkD30sbPn6v8GErb 9fr0cBl8euMdJ08UQKpwNpF9bxWw6BiJRLEI4IutkSnJ1C+gPyIdw0gSQLG/ AaILQtXwR6o+so1HAO1NKZf/nqoDSoxgmJe4AHqXDYiVtjSB2b5Rnr+bBXCT ZPjpXUIt8Kq5KMRoqwDmNRNCWK1aAbgsgmTlBRBexi9oinSAg0+Wf4uyAPLo uh3u+NcDebR7rHBYAB1fpszL3O4FxhJ931cogCL1owLfH/ZB1OK8z10tAbwU In1HdMtvqLyidk/GSACdlxrbQoMGQdSk7YaHM33+SRV7xu4xsJ5Lnx26JoA9 kfd+PK8Zh+ww92v6twRQ7XHrVsdP/0Crnuay7a4AqhJ2f4rUn4RrRxwcGx8L 4Cvz/jM3NKahVp7h8pY0AVwIFQls05kHd0ZZvboeAbzJjPdkYtZhSIPcse2X ADJueXWbTXQD9PzHLt4fEMD7VQO/YuI3YAv326v7/gqg9IS492ldBqyj7gl5 viiAWxxNdyWfYkTxA6rfr1ME8VdDh1PNYSL6u0sYNwgIYvo1R/bO20ScLmH4 uV1EEBVs+W855RLxq2bl+E+aIL78vl9URI4JnU8f49TeKYhhvcMnx7iZscLJ QEdMWxA/HLoX+SmKBeVzdrfc0hHEP593l/pUsWDkHJ9pk64gcuV0twdPsqCD R7uDn7Egqsi+L7Y5yop8AaaPpy4LYq3Jx9trw6x4t/4wRcdGEPfY7SjL5WbD YR6JuJf2ghjOz/3w5V42LI76lXHeRRBH5iue7LjHhtap1jWf7wri2eGvjgVs 7Ng4rGVA8xbEtRCFYep2djwov73rzkNBzO83epxzjB253/8dUQgUxIvG/6m6 PmTHO/N1LgEhgvgz0M4p7gU7Dii/WRoIE8TrP38R50rY8WOZM3tsjCAWXLM+ eGCOHSWZDJ7MxguiKEeF/WZuEgZq7RbWfS6ID3OUJQ7KkPDS9zkZpjRBtLzG 8mXpDAlJ3XeOOX0QRL6cvNyc1yTcd+sVZ0i+ILITHn1uLKWP5+1oelsoiGVt T1kO/kfCj8f2XpgqE8To7ByhiSkSDvRfluStEkTuuFLPQ4xk5L4X9mfXV0Fs Ncs91MJNRuvcCZfr9YJo62qjNSZLxjA98f0RjYI4NbfD0ZHun4v/6qzmNgvS fXl21EF1Mg77upe3tQkirc1B+8wpMvJJZvgudApih0w0W6UJGaG444RQjyBW jfNZ3rUgo70J6yblPvr5/1WffuRAxsiZvW1n+wXR8NBfvaFrZCwPtoy7M0SP R19gazjd741tf2oeNyKIaXsXRMLpflnoc/nWojH6ej+/Dg75k1HdfHK0e0IQ Y8ozISiYjE4r4u/WpgVx9cGTET+6P46NPHlDfJ6en36+zHa6P/2s5HEQlgRx +IO5gSfd307WZWxcXBVE/+2bPtxOoPt5284qrw1BVJMWyKx/TvebRLaAJIIQ RmTMZtxLIuO1hH26FcxCODheyGlKbycoW/H1swmh/Djbw6f08TUtTzuJHEJo f2beTTqRjPNXKxK2cAthYpXsGeFnZNxMnrqsySuENVy5YfZ0P63zUmK7Nb8Q /iH0J1Pp8bmpnfrnKySEYC/MpkSPP6Xb432aqBAWOGSpvaLra7iV6VYtLoS3 ND+2+z4i4zJv1+GRzULoarZsVOtDxm1v2IikrUKo/y5Dx82TjPra+6tlZYTw ziMjvZCbdD4asAo6ISeE/Gm5S5uukrFZpFIwSEkIT7f4fTCn88167lT36z1C mK/JSlak84+sPu3F9/1CaGXK+cSFzkdefp7yPKpCGJTT2a2/j4xZkllTimpC +PSIOXGW/r20F3fl6WsIYcitNBFuOn/tnN2v9vS4EG62+LeWx0zGcyHWLB9O CqElLKhpLZLwoWxEbYseXZ9iiPUZOt91m08bCZyh5zM1wnSdzoMB9Vn2MZeF sKp0oyw6kIR5tj8UCq2F8IY9sfisOwl/EUlzXXZCaGZi0p9uR8IDB23uUZ2F 6DrEZxY1SDj4cnN4oocQFk4+Unk6z45jD34tEb2EkKzTG7Wvjx2nLZIu2voI oemb525W39iRQWKznFKAEIrkyyldjWVHkShaRUWUEJ542HLx+n521POTmBzM EcKyK8d2GV5kwyIbMR35ESEMWK9iE/RmwUrNnuzQMSGkckrSpi1YsEbqmeDc hBB2ODq+i1VnwfZean/xvBC+7zQMO8fEgtNnqHd0mYRRo2br5XIfZpQ5Jpru KiGMZ9fmah66M2G4jDBTgZEwltq+K9c/S0BTs21p/SbCeCEuSlRAmYBbwncf 5zIVxsNUl23tQgT8sHEy9LKFMNbwu/ud7mDEljZvKtdVYdyr8NfL4AwjUh6O 7bnsL4w5p7i+axszYNivUivOT/T+A0TJ+cZVOCdYz3agRBi7GxI/ckWsguTJ rkyLcmEMTlYfPXV2FXI+zk7lfxVGKe2laO3fK9AUsv2uRYswZp/TnIf5Zdik +jQyf1wYqzUcTv7ZtgShsdZfL9FEkJOZ+etpup++ddP7moeUCFapEd6Mu8+B mUGCRNQ2EfRtONBdqTUH8qS2W3XyIsiyNi8j3TcL325ryuxXFkHNqKWCdsos EM5uecRhIIK6G0UZx+n++4bg7+P5PiIoX/5kmNFwAkxn1ub/8xXBKcJv34S1 f6DRIJw89kgE0/PPJ5el/QNeP/2VzaEiuBi7yhexNg5v5ssyA+NF8JHY6x6P t2Mw3JrIYZFL7/8CmnvlR+Fc+IXvHH9E0JUpLNHXfxCo70miDqP0/ioXgzyV Qej9L9/m2zhdn1Rex92pAbDk5mX0nRXBb2bpXp2mA+AU8GX3BqMofpcq+fPm YD94eynETFFF8XDd/Idk3l+gkdg9qEsTxdgjxF0ajX3AWvJo1xspUbw9z+d7 O7gPAlf6a+1lRbFyz+egJI4+iLwZvd6/XxSP9cQ2XNv8E145Mlq2GYiifW5r loRTFzg+fvNuj7EodlUwXU9f7YSdGefXws6K4lDIf4ZagZ2Q8yc3UtdcFIW8 BtUq33RAkYX9t+orovR6+UMviqEdGk2ad37yF8UI+VPE5rZmCLvl5S4cKIqE osBnmjebwShyR/WtEFFs5azOKRFohq5mv0t7IunxXdDLLDvXBAOnVMJfJ4ti MF9G3ei/RljUSF1KLBHF01IGBXLBdeDxKdGnqlwUhW3Iht8WaoFhVyznSJUo dsjF7xa6XAusEiGbd9WK4j2hlGdVqjUgsOSmXdVO12tvUrGHVA27X+vEDE+K YpQJ7Z35ZCXkSWlJcc6KIsvjWrh7vRIOxqq9VloQReo2/1rl5Qo44rev/M6a KDqp6Fj7kipA7xJthINExfRfOdFKUAZO/LMHlKSomDkenMU2UgDTj/9VGG2j Yj5DDM+FLQVwgzCic2c7FZ/d22D7avERPCZ6zCsVqJhoXjzePJwHj7999TdS oWLES4XKeOEPwIUVvHeAiiwlj77bXnkPYXlF8QlHqMgj1PHqUFUOxCZnv/tz jIrarYvEiTvZkO4Z13HbiIqqm6bri4TegPxshEWCCRWTB3nyrSaz4J196FjF eSoe2N+aSvieCflnHjJwWFDRxO3VBEfcK/iidFUmwYmKcrfshfk9UuF4ul1O hQsVfe+FpXH7pEC9uKXKn+tUZHU+8HA4JBlayGf1FN2pGK2TclvuUxL0Dx5x q/CjoogUz0WHt/FwJPH7C9nHVDzoqCmqtRQLz03O1YcFU3E80Px6pV4MmNW6 SF6OoOJzvYhDATKRUPxgTac2moqi1+121aaHA1X10a3d8VT8e9i3PWbfU+h6 97yOmExFF+FOzoY7oaBsL7/g8JKKATkdU+csgiFa6uPmlldUdJoYfMw7+hiM Ixtupryjot/yCrfRcT/I1T2fxPGBij6MPKeaJB8CH/uf2uv59PNhY13cKeAD Te7rNM0SKtYl2af0xN4Fpb0BJ16XU3Hd/cRokKQ7hP7jv8n/mYrfurOaGntv wURa0nPPaiqecPgyHd90HU5d2lE7WEvFr1Q+v5FlF3gtUjB3soGKVKWIXN5s J+Bo0aDlNdHz3SkxLd1uBw5BjcfF26j0Oru8S9LWCmqOmt7w7aTiOVu9/XOX L8F2huHEf91UJEe5rcpFnAf/gms1xn10faWuQXP7jeCP68ZsST8VX4+oqDqa 68JR+ccS0n+oeEmC40LJiiakDgocDxml4kyVYV+YjwowJb64vjBORa09XD9n LRXhssnOxItT9PzPaHqIOIlDxabCb19n6d/LvP7Fd8qMsLlWc1ZhkYopZxWF pMcSVb0e/CcevULFIcLLl7d6ZlR7D1/QZtigIseOuUlTKUFQXRi+ZksQQ9nU ckOagRw8e3c9oZFZDFeZflFf/DwAq3YM3w6wi+EFizvXf3xQh/NSgTPPOcTw 44t0RbVUHSjsFhRn5xHDZO6UCL3np0E4MvmYC0UMX+0ZTQ2pPAtuugrXOgXE 0MZKV1zZzBza2T49UxMRw82dQS/9NC1hX8XR6ldiYnjExXJrWZQtRLg3TW/a LIaY9TJ80vAKzO4xE7uzRQwfyysJhqu6QE7aDdfjcmI4TnzF7MZ6CzZdYnyW s1MMrWIcvA1U7oCzSNBXkV1i+Iiz93jrS0/YGZRC/XtADKcTqrLuBXtD0FFF rdMqYngxRnXDLPwBjG18cvkEYmhiY9m2PdcXMlybvzw+Kob7O24Nxms9Bnb5 i1Mz2mJoJDmle7ogCGwHR0VNT4ph5O4tTWxSobDNhOAibyiGx77NT1t0hMGL w0qi9ZfE0N8nunB9MBoqTpF8VizFcNdnUrTo1Vj4fbF/dLutGAo9a75AY4oH Ke+IQl8nMVRM3PRqWj8RUr4snaXDOzLc8BSMV02Gqvamcqe7Ypj4XuQD2+4U GBjO3P7sPl3/VEKP+45U2EI2W1ryo+thPH3ca08apOpWRL8Pp5/H4B7BU48z 4Yt5HMPvKDF0XFY6dOhdFgy5XLfliRPDKUZRkvGP17AtfNuBK0lieJ1vezWH 5Dt42RHQvu2NGBZcSh2ufZsD6ZdOC8R+FcNecSnSe/OPUO0qf7e6Rgy36eU0 zdLr47AP89B8vRh+rysIvzRWADIv83NPt4ihSsv4QuWDT/BqVNSI85cYflE+ 5T34owQyrg089VoWw9MlN/VLeSuh5kHxyps1MXQv3MOaH1wJoxGRl3sYxJE4 oNRqxFEFch+P7T7IKo7HRna+DOL4DFmrWU0zFHHk8JG3Z9/8FV4/vLHJZoc4 /uPQTTOJq4UxlQveDxXFMeZT3c3LCnX0eqoxk7xbHHcZuz8S/lwHGRZ8rX3K 4thQcZY1aK4e0uF99Lmj4igsPBJkurcRUpYmJU5dFEdNj87K/Gb6e/auI9TR QhyfRazddpJrBinbMsbHVuKYen/iC8uDZnjRFtL/1UEcv59KzP59oAUS3+9M U3MTx60dzj5Fr1sh9orjzr1PxNHgbkejSmUHdG0xTDwdLo5VcwzMfLKdINx9 iMc1ShydAxf8Op90QvRx8vSbZ+IYbDMzoWTZBRHSGbkyGfT9Z9u9tvN1Q+iv PyrUSnFc+MXkWZzUC35Gl08Q58Tx+uZljYFP/fBCt9vUalEcBWYVD9xlGoAi bSOnryvi6HtBc+3tyQGYPqz15DFBAi+7yoR2/xoA021y7RQeCaT5yvZabhqC XQvTFlvkJNCAS/pcQNAw/Iz2vqN5SQI5P8a81uX+B0thK4/TLCXQmzPg0Lzj P+ALuv6M3VYCpzz6BFVq/4H2feuyeicJlFnhxpRHE/DB7jiLsQd9vzaHwHHf SQg4yBtmHSWBbo7hliXC07C3O+mVX70EprVbn6q9NQc8O20X3zZKIGHr7A29 rDkYu7dTq6NZAlMM7N/x/pqDFKlPAzJdEvj2TsKazol54HNokagZkkCzsVqm EMkFWPYgnmBhoGFET9rT5R+L0EneV35MmIZytVL7DUNXIXp73Ov6EzRsf1Yc 4r+TgLMzR1N9TtIwfkMtM1uPgLol0/HKujRM07m72OpKQJbTxwNTDWi4oLat hpxPwBseS/aeZ2nYd8BFgxOIaNBwRmaHDQ1PN6OV0EkmfBNDpPXb0vBbp83b qatMyG75VjDGnob3OHrNc8OYsGyRhZXZiUbnrqHLs+1MqCCZN9h9nYbvuUzX RC4xI8cNvuRAbxqyNwy56DqyoC2UxR55QMP8IHX5gUA6X7A7hi0+pOFrr/uX 1F+z4J2EyvuWj2i4XtXaZjLOgiNfXc1VQml4IfZVfIo9K34R+U9s7BkN6z+x 7/95hg0lBz34XyTSMDvm1R6R62zo+VaG0ySJhr0fyPLrIWy4R8NrtTKFhpEc 2/blfmHDF1cUfsRl0nD3WnFHkgI73isLij5RQMM5oYMND8fZcbSnLHypkIZW rp2iLQQSGq/MhKYV0fDIqHdIpiAJ5fede0Qso+v9LJY2DiSMOh30MLuchmFe RvKGp0lIcCm7f7GShl+8rsQdsiZhR+a2O5++0FA2cjvnwwASqn87e9OumoZK xNGN33EkfDMU6CpYQ0PSDp7igiw6P26esb9WT0N//e/DPXRe3BVVel6uhYaG HE8UN7OS8dmH6TOdrTTcIejWqMZHRramrYZ+7TTsCFUXraWRsZcjUKe/i4Y3 xq7lcB8g43HZ0mNPuml4iUhh/3qEjHla0xrwk/59zFpL9OqQMdDb5HDcLxrG 6t//vv0iGRcSHytr99NwwMQ/3MSGjBbFJXsXBmiYt2XrjT4nMn7vmlJKHaJh UY3109IbZFRe3LLz9DANnVVeC8660/me30SWcZSGb0u6FDzuk5Fn9+Ntb//S ENofchv7ktFdr0TywjgNi9/JTd4LIOPQlSlx8gQN38xabFoMovP94y2iBZM0 7BHlLigKJWNR+hlBm2ka/rcnfHddGBllvgRQ+GdpmE4jt/z//7in/cXclXM0 ZDp6c7aK3l5nmCK7LNBQq3B+LoPethffwva/is08HKvti+Pm3vc9KQ0UUs45 rkRUUgrZX1FJJZUkQyWZIlOTSiOJytBElAbzVCQNNzNRmRLCLUrhCqWMIZff +f25nmfvs/da67vX/qxnP2feiCKmfBE2eH+NwnvdHWKVo5yez0asWc19Dzsv Cp0YU0TmNp8Tv0IppB7JHVMZ5+I5YbP302UKMtd/DddPKOJMpPo5QRCFc4/Y QX9hGo8ur3Q96E/hR5VFr6YoDZ6o59NZpylYfg/60SJGIyHvpviQD4WX/NzO EAkaR12DRSW9KSya/6tdj0cj2/HgPuv9FKKM2K9dfBrBY4Ptn+0oiO+1+HST otEpf3ZzpCUFz9NBH9ZK0ig+4+sdYEqh6XZO/cAUGnbmF1QTDCnOz581MVI0 Jhll2f7WppDZwLw1m07jlmTpmI8ahbmD28vHZ9AoOecmqjqXwsCinGKrWTS0 nNa7ywhT2L3pZz5PlsaQe5qIWa8AZfuZnKdyNIRuHN/9pEWAe/GBWdPn0nAw DLUQyhWAKs7OKJhH42mq+rm2ZAGOtPSkudM07rc7RfbeEGCT/Pb4MiUaMXZr 9PxdBbjZplFgrUxDcdNjxasWArQ94H38Pp+GjPP0Oa0QwBc5UlPVaLjZdCtv miHAa3642r2FNPgr/f52+MPHzFqPtUs0aHw4muRS8JWPNAfWd9sSGjqJ1fG6 6XwMa/wX3qbJxeNbpZTNdT6MhusfHdaiMeO6uXv/YT4+XrzYEaFNw7is2uLW Mj4EGb1bm1bRiOebZHmm8WBxrPzAAULj12ZPS9dArj6sjg8cB42Z8pamz+15 WPneMk/RiIZl53Njs9k8OI/mL3AwofG8wnN12rFJeGUUItRjQaPlq7NCzVwJ TJ/iLH/akkbdWM7jD7/EsavBYLmUFY03oWZWFkXiGHIZdNW0pTElN3pHhr04 lENtGo7Y07jyPDZx6T0x+P+j+nDCg4bzdam/s0VEYeD+ynpaEA051ZDFtaIT ZLSxc+3LizQ6pNZtdD8/TrIMJ2sevUzj2pup5rclxomy7BZecyiXT5Wk2PeT /iOTX37ISgqnMUtxskeRxB/SKNsjiTgu/9NM/3lQOkSu+kuN9MXTMNWykRxc NUQ2/NRsi0+kMZActSn3ySDJe3n0BZVKg8qbc5KfOEDiPISdGh7REBhdjZa5 2kc8S2YWuOfTGKdeiCSp/SCqi7VT6UIau0ZLWEb7O2mN2hleV0Qjzknx8bo1 3cTC846bTimNU8tKJYdcOomevIqsRCWnH0nv1kMN7WTovInY31U0Ztv8ePJl tI2k/3L76VpNQ9jNPvIx3UaY0kcl72ppuB5plm4+9pXwvHS9oz/QKCsP3Eo/ +ESKPtramjXRUJhZaNqm0UxOrD1jLPqJRsYb7TfPn38kPfIlc12+0GinXEvU 2htJUkAHf04rjamxUxRmBDYQu17+YFUbDSevI1HRS+tJXalpudY3muPVtDGl +FoSssTraUcnt7/Uwzv2udaQdbev3Y/qpsH1HgXlOu/IC6/Go0I/abTG1mop dFeSu3P2KlUMcnb+ra7FOSVEZ6maxt7fNH7nnNkcKPSS1K0f0B4epmErvtXN xqKI8I4GbFAao6G7RuHJYvc8EhO8efuL/zg9F21Ui+D4Uy9u9m6zCRryFc4Z SvnPiee7FG9fEQZl1gHyK8IeE8G3g77TxRiouN674LLoEYkb1wtIEmdwocZU xb7rAdGXlgjTn8RgqZrkWERxMmlUextZx2MwLDOx6ktXPPFefTN2v4BB3k3U JeyJIZN32j0Qmsxggc2X+1dM7pAED9Vn4ZIM9NSXNup73yQI6C9YOJXB1/0a Y4MruP74dk5ZkRSDcfWezlD9YHLo8fk6y+kMXmmUPHDdcJ5MKTP91DODwVSj NrdizZMkqWXWN39pBpX15fYuW73J6t8tvXKzGMiqhvcr9NiTJsmUPxmzGfRN zyj+FmBGjigdFF8nx6CidIGZiqMqmaarN7VZnkG+9Np8drBDP22LuOxBBQbT NU4vLivRI2udqxj+PAYJfvztPlssScupiIV3FTl/F5kbXnrlQo7f2LN8GcMg uClZQU7nCJmZtgDlLIPup1nYQp0lD4v61tv9xaDlH+kRTb1AYvxP9rbfygw6 D8wfuLgjjHz96W8brMLFM6qk786SG8RXwtSJVWVAynt9O1KjiIzCLK+/1RhE JFpb9++9RzKWthzfrM7A9tjVwxfyY4mJSbJ/uwYDyc+OJnauiaRtj3fIicUM LvXFLFV1TCWnjurenKbJIGWgMs0vPZ1kxlWmrlrGQLPW1J8NzyIbs8Of1C5n QIX473Fc9Iz8+253vssKBg2e7naSP/8mchO9NTd0GYgL/prwacknWdLZTWqr GHSkl5rUBxYS04X+/xbqM7B66qQ8TauY+O2UGf1hwPnjZzHjZWEpmev5WdTf kEHUC3i2xb4mzwOSJOXWMNjBNzo+FFFGvj/WodcaM9h8VipN7UkVMZ+y2/iO KYMcsRDDyZ9rSY+SylYtM06Pmcce86Tfk0DdXuuyLQyiN8/1YrbVkxxnP48h cwaJzWUqizoaiVJxYripNQOb9i8FEq6fSNXC4bgmGwZqfxzEftZ/Jj7hxo/3 72IQkyH2uTKuhZS7dL4NsGMQ9NeQzE76K/GWUuPnOzFYOzOT5Gu3k3zbhycW HWLg/lH++/3YbmI1nLVHKpjB4k9bnbR6BojYXnGPOyEMBiKf7PBwGCQPy7ef XBjGwK7LOFSueZAI3x2KNL7GgFUxK79TOUSS1qyoPRPJQJ05edM5c5gMXs1e 0xvPoCfthctGvzESpl6kWpPHoEmm++5OEREkrbDmnytgQOubVtsbiCDfcKBj SRGD082f3grOiKBnp3L8lRIGU7798pMdE8GGgIvztlQwOHH9Wm9MjygkPm+d Wf0Pp1+X7dlzwsSh0NXdd/ojgy0Lxlo1CsWhNej/blEzF9/+W0+v9orDnnoW EtrC4Ooly7G1ZhIo0Jbnb+5g4Bp0wUJNfBJOhLX+VznA4HqhcLLDBh6u3vJt OjnEgJGeLpvtyUNKgnS2+jCDLjFPN+MbPDTmrPMJ/sOgX/ybr0QTD8s7U/s2 irBobHhSMribj00DRu/GRFlsmebs8PMUH/smmtPTxFl8Gt//r+z//2eSljow mc/iT80xuYl6Pn4ZHOoon8piSlGp8hh3//M2SZaemMbi27PzJu47BZhnmRCn NoNF72T/15JeApi6N9pdkmFxr/usRF20AA7HvKA7m8VrzRWnRzM5fvAXzOuW ZVG7cWPxplcCpEbpNZkosFjn5xp3/IcARfHvX4zOZaFT52VlPiHAhwz3yBRF Fv1PT0laS3H8/OqehUCJxS5iJ/9rEQXFmpXLXvzFornrVtcpfQrazTUz9s9n ofev1V1djpcd+8XevVFlETDdWg4OFHalGFXZLGQRotsnWuVBwcLOv/ynOrc+ ZWmRcIyC6eyXr88tYnFtF3zenKOw9q1oqfQSFgpzqEbtSxT0AwyLkzRZLJNN 6e7leHT5Kr8CXS0WszYd9Ci9+f/3pqLcqmUsGhYwZeuiKSinimTbabMo2h+4 dNZ9ju/2rn4+sILFmayWkWVxHK/KnntyQYdF8pd93vEJFKZUF2bK6bGwqJ43 4phEQeKCcMaDVSyEruT/OpHM8fIqgwcgLOKHnIraOXto4ExKLbjxgeeb4zm7 J7Ug0XE1N77u3rNcbn77XqH4EUMWVxjNCo1EjkdlEXN5DYtDwYdvj3Lr11Wf vjtvHQvjwySdiaFQcSH/dqYxC57Vu7CkOxwP609ErjFh4TYzvSY4iuP7Qf2I xg0s7nseoupuUMhKO3XddRMLG9XUel+O/9Ps866Mm7LQNLlfF8T1C3Fy4yFX zFisbyMpY34Ubr9bdVlpK4vtK74KNfhSuB54MujZNhY9muoBclx/cpnkBphs Z6Fu1tH92o2C/9CYX7MFi5TP1R2t9hR8H+id9bRk8TTZd+kBKwqH9vmeErVi MTyoctnRjMK+mj8+C2y5+Wd79mfoULAJ0j2Ss4vFx53+vmKcXsxx4uDmPSwS 7rx+9JahYPRw9MBhexar2yLya3gU9Bx0XHkOLFSdZupO+SOA1pzjzrccWRjI f5j3+rsAShdH9ha6sNizWTkgr0qAOQYr95i7shBfH5o7nifAzGEf2w43Tm+a hW9ePhRAzHF4h6Qni7N16790Xhag1eD3xp1HWMjz5LsqDDl9Dy83+X6Uhcc9 8wjPxQLUpB9Zd/oYp//YCpI8hzsPCkMG8b4sbKsMVL/08xEzMrC89xyLbv0l c+5z53Xvoz7FoFAun94LPk9t4cHt3LYxkyssxmYcL/ldzMPhbVkNk6+x+JLc VHcmkYfAwcMhYeEs/J7piJ89wMPDlSN/IqJZtPRmGuYOT8JI4UR9QiqnbxHL 9kyu/oTVTA5++YqF18p/KyT7xRAVe8A54A2LHX3rUw5UiyH2UJWhcTmL1uXj O9IeiOGpTNhoeRWL4lFVttJJDE1WM5xr33P6chR7W/FBFPNbZQ2/trJw8ReW WZUrgsVZx+fGtbOw+7MhdHukCHTOfxxx6GARlGHk6nRYBBvnR2d0drFYsMrT 56S6CLxdFef29rJwevhsS3S0MHz1zo5k9nP1ofmDfeoxYZyX/Fp3aJBFxDO6 Om+7MG6mx14aHmaxcJ+X8x9JYcScEXN6Mcoi3V/Mfn6XEFK3OKz2HWPhrphn vqtUCFlMqYL+OBffJ1FR92OEkNevPDIxweJH5f7gvlNC+B9etJ96 "]]}, Annotation[#, "Charting`Private`Tag#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2], Opacity[1.], LineBox[CompressedData[" 1:eJwUW3k8lN8XHjP2dcxrNxhL9lCpVOq9SllSIQkhIXuiVVH5liJLJEkhhFIk lYqSey2V7EqSVIqEyD4z9t/9/eXzfM45z1nufd85D0PV87D9QSqFQuHyUij/ /5l51pN/hXfcpuyOzA1rzrNh7UeWzV6WP0npnovwxXjpbeUFFusUWVJrS6/F WDz5eYlw53ky6dNHHpsLbJiJElT4WJdJ805l9yWM9Ue9ryz5JpIxfgYrv0ex 4Tfx24vzn5PJ+U2ecQMX2VDjrtCa2bnrZF3YmZPK0WwYtPH4IY7KTXKg+y5v ZAwbPm3vyZvakkEGKfubicWy4WygTfe4bxZZp/jU9G0cG2bzdF/mbM0hsxU7 +QoT2NC86eoy9uc7ZCR/UtGrRDYcSLOomvLPIyMzOYB7lQ3jvRdcJ+fyyYji pI8eKWz4cc4vZUzlPhnV4bT2+U02PPFO2Wj08QPSL/SSXm4GGypca28Y2VJE Huv55VWRxYaeuoD21/cR2ceN+nv0LhtS5063TEWUkLZ6XA/GAzZs79mjNLX1 Mdl9Ztrn20M2DCsSKZ/4/IRE6TuPzzxjQ+vkfv6J7Kdk1FXhe9Yv2ZAZVuUw 7l9KzitKVtRVsiHacnJsdO4ZyTyg+Wd7HRsKfP2lNaJSTnqgpfKQb2zYiV4f Hx4oJwU5LeF6vWz44G5azd/HL0nbq/e+EINsuPPIzv1DWypI3lO+TYem2TBV 6GXqH19IToUf8LWic2DpSesjR+UQCTifOo/KcmDG0Fr5yQhEloTklzUqc2Bw K8N3YmsVGXRSxFjYgAMZGXXU8c/VZMU4ZeuLnRw4J/78fohpDTk8nmzntJcD +/7LtR3LriGLutXLtD048Lnv2duj/rVkd9YZutMRDnRZZbz+39wbMv7A+pCp NA7Mqc8K/avynuyumNhgNsqBU2nPdH/EvydFF2JO9s1x4Dbfht4PM+/JCE2l 71WCXDhM4+x5+bGerKgLGdJT50KTjTvXX45uJJNyyJ3VLlzY+mieqjXaQkq9 ETLT+MSFDFLIXcyglawrkw797zcXbtBMWR/t3Uqar16YVWRz4ZWp+5On21rJ 2o2HOEJyM9D46qeDnoVtpPdIyN0W9xl4rl7fesX+jyTl+Ienq7gzsODxC83C 6x/JqAImO1J0Fn5I20xb1viRFPXV15FQnYUavk4VcuvayZChh/aj1rOwnhZl QCE+kfot1s5vcmahzMavjJa3HaRtt7H64r45CDR8Ri0XOsj5Lx+Xnzw2B/1F xhuqV30meR8g/tUJc7DiC//F59mfyQKPLaxIOAc9T6zkZJ7uJJMYOd9dtOZh 8aPLX4MMukjgBqxteBfgEGMo3vpAF1nR6Pdrk8oC1DphvUk7pYucP1oyGLJ+ AWabiuT0znSR+uc4simhCzD5fbyPy5uvZJKwY2H3rwV4ojdx3ML1G2l5RPVN btsifLJt7M6yxG+k/t7mq/lji3D0vq0Drfobydxxa3FQYgn6hUi+qNT6ThaE Bp3esGsJuiwkR6ye/E7KbSg24m9bglkiDRckt/aQ2zx1nR+HUNCmjeGuke49 JGNiuar9eQrqDtZbPXqyhyw5sDdbOoWC5D7E9Tc+6CHzeAHBV0ZBV9NsrGLo P8me/Pkf0Tw86MKyZvGlrz/JMLGNjvrpPMiXbLs5fKSXlJvX940YpCLKHfbL r3G9pGeifO6qJSpK42V21+f1khGeg7fFpGmo7r2P8v2OXtKBhx/qmNGQtsP8 nYPr+0jeoYstPOk0NOCnVfSd5zfZ+S2vSGsPLwpIPlPZmtRPDnzNv1z3iw8F /9bpLS0eJB225S047xNCPe5fBKveD5LHth2aKA0XQrs7Ywya+gbJND3hed0M IWTS8OfUb4Uh0sjwQtrBb0KI9jifLhM9REYFe1ryHBBGaRGqm07u/0ty24/9 0AkSQVWE/M119BFyTLlj1cZ4MWScUFe5VW+E9CPLEvyKxdBd/rA+u20jZN1R kePJrWIofqbDMCBihDQKbtn9TUocOf5IeXtrYITsNNplYpApjoYe0Kfm0D8y xlkkLL9QAgmrRmn9MBkja2cifZS76ajO9Krh2a1jpMlIktHSEB1dcrq9Vsl+ jNQY3WBVP0NH1KQyi32BY+TUd+YGpqwkml0c9v2cOUbSS/+WpNlKor/dewpa qOPksH1kh2mlJHrA9SwJlhgni5z2Gh1okER+UiFlYsxxMuSuY4lnpyTq2x5b t331OCm4sa5sZlwSdb+sHHjnO072rVzzfb86AzWmaemgxnEysjRnmfVZBoot NV6x/8s4qb1r9YovMQxk2Wq2bvH3ONla+ePU2msMVCvgamW6NE4eG3uywf0e A1WcSPIvWzFBaleGNG1oYqDTyZmhezdNkK7QXkK/g4FMih+cYltPkBqVC+f6 vjNQ6e/ay8beEyTXy8zvwSgDPXSYuV+SiuMddlaGihMoKIT/ya7cCTLSeeeP WGkC6cYTL/89miBbQ6jLDzIJdLdmeb3++wnS1Nmjw1mHQN4/1n9o+DRBju2/ dvKIIYHU5iy6An5hPvbdVsvVBLq90nOoYG6ClGp9ulEPEMh15+EJC8FJstvz cObqrQRSCIiY7ZeaJE3FCm1mrQjUefEy9ZLqJKnNk380bCeBUnNShZcZTJIR fHc3PLInkMPrXEbt+klSNECr/64jgRhfShS8LCbJsX/3Xjm7EKh16rUa1WGS DDKbsEduBLpCb9DN8ZgkY56+av7iQaDytUrPdgZPkgOrXIu+eRGoz/0wOR8+ SSZFrRqM8iEQ/VLV+/uXcT0b94c1+xFow0PCYe+NSdL12zO78gAC+bQf/M6b P0mCzpFQ8yACJc+98HvyZJK0La3tCj5EoNdqwpP7Ea7HRPPa2mACDVi5nhFr niSz7+6+l4mxVGixwKuvuJ5pYZ1sjMk0SrLf4CRpLF1suAnjAGjPlOFMkmk6 AZ0nMF9qf97dGt4pMg25b7PC+arEOEahjCkyZK72TimuZ9jY6pUya4r0uCej VIbrlXNN39q4fIqsBav/2uN+tlwYaTm1YYqc/5pkFYX7DX5AumhZTZGmozvD t+N53Gq72tfuOEUCbkj9PVcCveH2Bp/3niLpM7PRaU4EGlNZM2N4ZIoUfCcv quRAIKZFzIVv53A9mlbPjXcRyCK4SywuYYp0enRq5Ds+v9sVZ9X6CzCfR33t wEYCve9tLbr2fIps9TzobLGWQFPC6mvNanG8kZn3GiMCbXd+tz3jxxQ5kP5Q uZZFoBOR8h1WI1Ok9m4dXk85At25F+jBmZ0iKRtojVckCMSdljhuLzNNCiY2 Nl2bZyB1Jc+lJfVpsiDz8oXACQbaaV56+eGKadJv+ALR9oeB8pOdbgvuwP5N Lcpb2xiotfyB9nOXaTLbScxj9xsGmu+Zf+LlN006NWQJjJYxkL1hzrvKC9Ok 0XmtyObbDHTWcdIu6Oo0WRKqepBxlYHun9naLZ+F810u7ew9z0CUxsGxYy+n ybB3rjSjg/h58lupoDc+TXLrdD4d1WCgzsSovM7FaXKg7qijLsFAvC86DC6J skmujWpBCA8DufCFb/mpxSadSicfFHdLIsE7NUE33Nmkh7iZBuWKJPL86gBp jWwS1XxgS3ylI+H0n4dCv2B/tViKdQ0dPXEJZv7oZ5Nphvo86oV0ROuKPvWS h0OythUsPj9FR3mdL1eFruWQrVmaQQkMOur/xCr4fodDlnTQt9z1E0cBrcNJ 5ae4ZM/TsbXVccKIkXSK1IrmkiGF1vWN1sLo5S7+fykpXDI751ruDSFhJNKi sj3kEZeki2S9irokhIqa7Pm0fnNJI47ulPtZQfSvvuxUiu0MyXrV+flgID8K fRPleVhrlrS9U2b/5gIVKfdt42evmiWzxyrqYndQUQNV6EEEmCU9BFTWNMhS 0TKQMH7ZeZZsbX6g3fKQB315eT0yL26WBE5LpQd6KOjSl70aemnYvyTO8kwx Ba3iytc9zpsle/gOF649Q0EJq29LwNeY3/yT3S0mBZmV3L39ZXSWRLvSBFTe LcJ/zX6bPeZxfDCflXHwIkwf0e3vF5wjs++nmTbILMJp3UfLp1TnSJSz8+vt oAV4P/9FhbjDHAm8nvxXoTcPHWtPeVz3mCMph9cFwB9zkNa7gZd5CNs/Jo2c vz4H3Vhou84lbDc54ezPPwcl0+u6tpTNkZH/UjMiFmdgZXns2fpajE3XD+6o moGBnTZqdm0Yl8Yuyl6agW+k2/zdh3D84xrzEukZeMT4mthvNsa+DJ64Hi5U 2b3ncSBtnqScck4/+ZALTyV94YYx50nkV87N3MGFmo/SM5a0sX3+kGYviws/ NrmBS6sx9uvis2NzYOSwSp/oZuzvoT083MSBy0V+RV/bie2rIH/FPQ7s0snT U9g3T4K38S41Fzgw2tKnJdsX+y+3rRHw5MCfF4dkiiOx/d31EJdlHHglr+il cQK2N3imhQpz4IaaYPdXNzEudL31eRzrj59G1M13MX/o5Kmkr2x4nTKZX/cE x4vvEMt+x4abVZ5Z7YLzZKRE5rzQczYc3Xhy5FMD9j9ytqoN64sM13VXXTv/ X3/iaEYuG1qFzxn39mH+D9ZtNzBm33zd6T+O491uC03ms2Fu2bmIsQXsH5xW XoT1iO1nM9ZJ4QUS9My2VT9mw4VpWu2CzAKJPj8lVr3C+kHqrW+UOsbGzvS5 t2y4d1WMiIjRAkm5dVdX7hMb8tpbP7pqivHkQmr0bzZ8HCK6W84K84UO7dvG ZcPGW8Sph47Yfnp34koJDuyvVcja7I35vnuxmrU5kDKq+uZzKMZ/vlyV2sqB CvI6f4POYbxGR5fHmwONtxhJUhMWyMh226krFzlw16G1a2/cwji9FJXd58Co qq0Xqp5h/iN//quf4cDbf23uO9bg+E2Ws3eXcWGZtEPL31aMT7edEXTgwhF/ T0WZYRw/v2G3WRkXCqb4mxXOYFzleFLkHxeqVYb4AoFFEtT/tQGaM9CRce5p gNoiifgTzjVlzsAQ00tflgwXSUqTl6LstxkY65OwlLIR44wNAw+VZyF8mb4d OmEckx6XWzALtb3KeonERTJSoTqsrmMObk6AQvczMP9fJ/9UvK+7vnhruOkB xtEr6cGn5+FVkU/hfm8wTp+vlNZcgLNPx4nXc4ska2XIgY0pi1DqO3edvdAS yXqr8MV2ahEaCFI8/shgPMU/wXJcgl6u4kWSK5fIEJP7Ir4SFNTIq2fu47dE gu8ZVek/Kej2Hu9jEp+wPSn+qt89Kio7F3gr79cS6RHFkvz8i4o+3j+C1o0t kWN2KumNyjTEew7wP+GjAI/v+g35t2jI5ONO+24WBUSaDGT0Z/KinPDAIaO9 FDBWGitKfcyPjJAQN9qNAoxyZOJvjPIjxFvA98OLApKGQqXXGwignoQ+VkII BaD1R6qSCgWQcrbb3sHLFED/6XZrLF8Q3ardVZtTgf3zyxYErgsjXaF/bdxq Cgg5K7CF94MwKt8R/2PXe5zPdd+71+IiqLOjbnbhE67n/UCFY7QIkhk0W+Ey SgG292si7x0TRclixrcZajwgSf6/A+tMxZGa/YdCf20eAKQ5iXJHxdHj1JBy ZMADeuZyBU/cF0etKg/bgzfwAHSq9NVtKQkkvlJTpMEB46JzaFefBLp9olZO bR8PoBd+vustQkfLX3lqnjrAAwStdMIdNOjIxjzLTCuYB6T9beex3ENHsY5y YReieYAcT0jpvqd0pJD+/GJXAg8o8LzZLFZPR/d/OFxbkcIDyv64+Pv34P3b 72rxj2weMFCtn7gkIon4w4V/b3jJA2LOf8z/7C6JzmfN200N8wCT/piVupOS yNaoLFRvkgeU7DQ695TGQMpVR696zvCATo/cpB/48/Tlr6HWVj4qiNRqOKu8 ioEmln3Z9VCZCrLtUp8aHGIg9DzlcJ8GFcT03pB7c5qBrljYJirqYX+1PuH5 aAbS9X/XfHkt9n/nJrE9h4E8i57t8LGlAqfN/84HtjCQ0cbQQ5mOVCCYt1+A t4uBFpv0E9pdqSDMxO29aR8D3RrNbdzsTwW2R+J9EjkM5Be5f/jUYSooeW16 4T6FQGskFUUfH6cCP4q1h7cQgT6sTN6ucp4K6Bn22q/lCZRdsyPQMQbn8xKL 3aeK9zMHobiEK1RQx3f8Zro2gUx/1z6oTaGCgv4POWfwfi18IrJ+7hYVyBXd meJZg/dlftOhlTm4n6+nBrVN8X5+gyMUcI8KPDaMfpswI5BZebBV51MqGCiN dA61IZC4ta6/xEscrzhWpmlHoO6u3zHbEBUY3Q2ti9xDoAeBOQVn3lKB9rQO NdKZQGHzrnWljVQwTNz7rYH36W0JcgN/P1CB1K23nMN4f5RSbhdQ/4LtBenV B/B++as4UcvlBxW0vnf4NHuQQCXkdourv6nA9LFq7Qa8n55t5fet+0sFvINy 2svw/mpzoPrS0jgVlHkrZb0IxHpg4szdNVwqyKPWNkzifXfg/Lq3hxapIGPB ZE8X3oefE9O/83hpIMZ22Z9AvC9H5ZXwdQvTgDE9ZcV9jO1XBy0jJGnA4fXn gWSMWW+1tlrLYnz18BsdjP859nr/p0QDfu+HL/x/X6/4czuqTJ0Ghsc/9x3A +WLDXPJGdWig1Di1iBfX4yQkU6tpRAMZD3fm7vUnkOattl63NZhPfLWLhy/e Z3UTaNdNaaDP1yJEFfdb/cpSvXEzDdho+5Xf8CRQkg3vFpoVDTg1Mudq9hPI /Rv0XL+LBtLWHZi/i/dt/eDw86F7aGC+5OZFMzzv2cU1dwr20YBJe5RHCj6P usSJqh8HcL+Vy52y8Xmlsop/yvjRQPaK7yY+O7D+euzPszOYBiw/01v7LQlE +dgDKk7TQK1wrJsiieczWJlz+j8a6N5TX+OyjkBClEzquhga6DRed95mFdZP y51rn12ngaK4nI3bNQl0Y8vaZccyaEBOM8bJRQXv+y7Sl1bmYr4AWwEW3seX RbdZPCrB8ZmZvh8F8X3JfFRw6AUNhMR1barB992gNEFIv5IGKhy2TB/iYv35 06qhoAHPw5tnN7efgaw3VO+8008Dx/wFTZYQAzXbZT/yGKGBpEZz/77nDLTb 7yxdZQr3+8lOP6GIgVyvr/+QzsMLeFfZvV1+g4GCR5/suc7kBXlixd/f+zPQ tdxc1xh7XuBwx/3mAT4Gknv53+ttzhjfOp9P5UqijNb9ynwevGBs/7qcsCFJ dHdBsee/Q7wg8ptf4Z9mSVS2N8UrPIYXVGxyfDp6HetzkYsBwZW8QJupuOOq kiTSPOYT5qDLB+rUdc3uK+H34fofu7OM+EBF9ptvpuJ0ZExxMhxawwdK+D7P xy5IoM3xVv3ntvCB7JaWTSFQArnn6TsUuvIBikzotYObJVBq+4QhNZEP2P7r lhzdKo74Vp/782iSD2T8epQTbC2KROc41bMzfKDsYYn9F11RxKgKub2Vwg9Y xsaiO0REEWuH556vovwgI//AA/tGEWR6cGsNvyY/aHTrCP67UwQduy6S5ebE D9IWNzeNOQqjvukbjiKv+YF+zzIATwuiO2arjn6r4Qcphy6lBe0TRPsTmhMf 1fODspToK+tMBVGXBt/73Z38YOx+0vyqRQHUtvvIhoxJftBjs+/nswsCqPKx DWu5rgBodzScML3Oj24c4hnaeUMAmCec/mTbzoscyjP4VW8LgLSzHUaJ5byI wWeiPpknAE5M6KDp27zoSkaw640nAsC28gfNNIAXRTV8bf7RJAAUNtlHlVB5 UYjO86chvILAdkG82mMDDVn/DjiTHCoI6O/uq3k08aBtZ9SLzMOwfYxbtqWM B22W7u5inxUEZZ9f/d6Zy4PWb91hsi9eEFBkFd9/PcWDdPMNJ9XvCYKpS3mL Tdo8SOTglN+zbkFQq+a1l/cKBQkuFN3w7RUEafPBFs7hFMR7/eBb+SFBYLJ5 RU67HwXN13aon+UIgmSdZONN5hQ0rFH+fRtDCLSf4w8unVmCjX1nHDothABT 7Wj5pqFFWBex5kLsTiFwbP9+v9vvF2Gt1Ohj0z1CIKLSu9ji/iKsMPeQyPHE 8TYfmCf8F2FR3uZ6/zNCQCMwxMR0ZAEmeAuAuSdCwCZSfsSAugB39iXpKSsL Aynvfg81jznYqNfX7qohDDSGNwl2Wc3B7UfXnk3XFQaN33Q3N6yag5bU761y a4XBfLBikbMg3sdYeicIW2HQvteXoVo6C1e7vkGC54VBX/FVDyOZWViaKxdg ESMMRJ8urwygzcKVfwOJS1eEQeSNe8+/js1Ag9MMH1q6MBjuVkcejTNQO22/ yOJTYRCTVmYycXEGMttn9kz+FgYlOoO3RWgz8JbijqUVw8Kg6Gh70q1JLpT3 yi4ImRAGTjduOLn1caHMxLa5kUVhECKdWnXmLRfS6SnZA7IiIIp5KXRZAhde 2fvHSktZBEw5W8bsPMeFYlnrJw9qiACKZ6z+g1AuFDb4ubXXSARoo83nuI5c SLMx+PvNSgRkCAecfKrOheev/ZfCtBUBY/ZeIm6yXEj52r5xn6MIaPf7IWci woXz/uFJnZ4438EitfOTHMiOrlv9MVwEuNJ3p3i+5cChGs/IuocioPvw1mUb jnOgytXOgCulIqDn9y5RrUAOdHDfucfhlQgwtblA236AAyu563R76kRAWgZv 1vqdHJi8XLKd0ysCWGqfJZ7pcuC72UuVr4dEgMnRhRk3NQ6cfzdfcGFcBAyf ZM5tVOBAH8+BMxJLIqBia3nLnf/rpxtQS0tBFMipNlXOj7BhiPdqxghLFDSe dXPe94cN764onH+iJQqKXv1aNdbDhvTG1LZNq0WBcXihRUU7G269KVrBayoK wnYiu8lmNjztc/5u/WZRoO98aKPHezbsowSHO9qKgooLOw58rWRD+ebeg8y9 oiBFrjZ4sJwNd6Y72/5yEwWie10Elz9jw7LVW5cFB4qC7N5rSQ5FbDhCfSVh fATXYz/tZFLAhmqtRrMzYdhfaNLDLo8N4wOYLRcviYIyvcODaplsWLU2uXx7 As7P1Lf8ehPrNV7BPMkUUZAUR82tS2VDvQ9nrny+JQr6Hp8eGrrGhh5Zk2GZ OaKg2+yhxOarWC8G+Xt5FYiC+OAtvM1X2LB+3Y8dOo8w/nvi5ZV4Nlzi32My +kwUsAYkl0XFsqFxe73aswpRoMF3eG1xDBv65wCx8BpRwNx26rdoNBveDn7O AfWiYGC+UD37Iht+3KD/i79NFERpbbVzimJDQaE7jY2f8fwG/TI3XGDDjR2y L5K/iwJXY7Og3efZ8EhuQo7Tb9z/iarKrP/YsCCEFq88LArAm6BUFsbfNp46 0TeBsbDj9KdINmSIjHo8mMH9rGB9hxhbdnpvD6GIgcZdi7u/Y3wmv2v1GgEx YFr11GUFjn9yxJY1LyYGTKxS2GUY/yHfCldLiYFI7Sj94zg/U8x0OlpRDNCN uDw+uD67rsc/dqiJAamW6Yg4XP+le1r1hI4YKFAk8n7j/l4dyyz9Yohxx4mz x3D/Y2ZEVtYaMRAT0EmYXGbDZRKXLx/cKAbA73NBRnFs6NK9eFTPXAxQRrZe dUtgw8T7x9zHrcXA2KNrcTCRDWtPDFm+sBMDPc2eBx2T2dBAskNpy34xkLdx 4y+1NDbsT+g/f/2gGCipLFnDSmfDTGHOnz+BYkCjkajefpsNRXnlnsSHiQHz mHP3lmO9XhupLfvjrBgIGb0g24fvU/iCScSKi9ifcnioDt+3Ibbzto6rYiCl 6NagEr6Pd44GFGqniQHX4+sNr+D76jx2mh5+WwwUtZ0VXo7vc91gepdKoRiY P+1Qzn7Hhvnd34L9a8WALY/JtVff2NDV+d/HV/VioO6MmPKdXjaU6lg0EW/D /S0olr0YZMPzLSq0p9/EwPCWy+4hbHwfqw/cmGeLAabbQqA8gwPlyCPzOxew 3Y5+8LQ8B7a8On8ghyYOMo6v4hFR5cBNz3L1ttHFwYD06mOvjDiQWfAbJuqI g+xPnOv77DmwXYOt8ctQHMitTZ7esI8D43L4Y43XiAPR7+H5Nt4cOHtLy+HL ZnGQF6vvsHSCAzsT/AfUXMWBByfhWtFtDkwSPr3juKc4oGick2fc50CL6Ngn 7/zEQRHV5WL2Uw58HlkYEXRcHACLnYOr33PgtaMj9OdXMJ9xqsJTNgdajy0c F7wuDqJuSIslUrmQekj8q0u6OEgLP6+RKc6FIT6G+Uv3cHxVpaOtFhfudA5d Z1UlDkw064dl9uH3Lzl9oHtSHLTv0WJZNHJhmJm24PNZzF9cZJDRzYX9W/YV J/JIAKcTU0KGI1xYbVk1u1lCAgDa7KK4xAw8bZ9w7b6uBAh6fPfX6z0z8O/B ZW9OHJAAnRJOjYKjM9DFzynQ1k8C+NlVvHPAn0d1AXGSuoclQNT3RsVfsrMw 7/C427cICZAS7FFRZTYLXU+9Zm9JkwCRRylH09NmYWP8Hm3JFglgiTQZ/+zn 4PrEmOahTxLAWOspX1DgHCy4+upYbbcEsN2yoGEYNQejUlWrTg5JAHPpwZ6L z+egcitbf5RKBykpqUmHlOdhx5fqN3uU6cB0VrJm+dw8tBhx4ajtoQNunchq nuFFeFvqwsdzTnRQQHdjcUSX4NSGwkfd++igrCuybq3BEsyOnfNN9aQD18Pt ZrdCl+CsVkanUAgd1OmGuA3NLcEiz2/lY7F00N3549GxRAqid+6PqER0wOxN 0vzdwoN8lqKdFGvpILtQfZ78zYMqNEuMw97RQcX2RZOaWR7kf5wysqKZDiLq 9bV3aFJRNSPHLf8rHRz7JHkn5RwVHdvxa1M8G9e/Km8IrqOhzmpvHhd9SVBi +lTRupEXjZl1KZwxlMT6yVhhvo8XCVTtMs5eKQnkFj/ItS7wojVwvW+/iSSo vaZ595shH0p5RW86slUS2Bx7eDfuOh/aVVqRFucuCSinwv8Svvzobb6U0esk SRDTHlYbqyqInsXUurOmcfxlnjrvQRFUYN0gF82VBH7q/+0/iPfZW6IfPozM SQJ6P2kTulwURSb92PaKygAal9je90JFkU3arIEjnQGGDbcdCp0VRb/uGS3F 6TEA+NbLnyoqjsTfZWRxDjBApPNk/nlpOuK5nOvsfpABNhOfHbU06WjK+gHx xo8BQv7dIAfW0NGX5hfRyYcZYMwGnfJwoqO8jg+Hl59hACc3hdBzt+hofb8g 8ErDfDHuZfcVJNHyAonZ9+kMoJ2YWrFeVxKxAmRKjbIYoFOv81HxOknE909d ezGfATK+1Bze4CSJWqc30W8+ZYD57VsdGq9JIh++4z3NzQww8GjpTz+NgRRU 3n+ea8P16PuY7KBj/WOi1KL9iQG4WZFDcUwGWhP05vX5rwyQF2TNvWLMQPwf pdPXDDBAWdOg0TVPBno57J/s9ZcB2qGvSN4hrIf4Ky8n/WMAv9LCTZfCGKhj nU/Y0BSub7hY5VUCA+VnP99zm4cAfq0WNU3PGMjppfCOBl4CpP1K2G8LGUi0 3d2cK0AAXjsj3cw6BjomILDKXpwAzEWvR1e7GEhbdZ/uOUns7zqevraXgbrX P1ItkiJACvqjkPeXgcyD99L5FQkwdmd6ZdMcA3GjCwVWKROgdPXJhWgagYpy lhb3qxKg23X7az4RAkl9ujdSrkWAkoeRkdvkCdS3gVt/yJgA7Z/DHJtXEiht j031rbWYb2l0MNuEQDaHs8vfrSdAjLtugf4mrG8vT5VMbSRAa+f8rZAtBCq9 Y1mgaobrkyhqDsT6168iI2unOQEqrPntlbA+ZnaMpYZbEKAx5syaKKyfo4Ru Xvy0gwBlfS4ngrHeNlEfiaDaEcBorIY6hvX4sKnZMUMHAnDbo+zVPQiU7Xg9 0HUvAYaDmy4KeBHIIWTQ87ILAQSN6Cgd633B2I0uz91wfWNM7R++BKrIvWrX 60EAp7YNA63+BAp5/duS7o3tBpYGIYEE0vi8Dmz0JUDP7Qa9iiACdY4lrA0I IIDNopxM6SECxQv/MrhxCPtH+mruDSYQ0FijWRuC5/V+5GYexlMbY5XGjxIg W2jhcTrGBXu/SymfxOcnxyzdgLFr6ErR7adxvQlqQxcwHz3uEi3sDO6/a/ed ozhfbV7XbF4kAbztThsK43rCKg0m2i7gfLrUwW24Xv3O84OLl7D9tJSeDu6n Z7yjRy+WAKIyTxxLvAmUIqLX6ZRAgPiDzW1fDxDIctm5lotJBChgBQgUuhNo ftPHt0+uESBo4qGv0j4ClThpVf5IJUASD5/fyr0E8joS/kz0FgE8nNdeGLQn 0JqV35/pZBIAdaBol50EEp4Az7dlE8DSeGp/iBWBvj3Ofe6Vi8/jzI9MXXPM F8r/IvIuAQbM+zpj8H24sML/ReZ9Ash9aX4Yi++L43jDi5dF2N9xpNIQ36f5 kKtlU0/wvK/QN3hqEKjFaKpM8jnO7ycgMMok0J0xx3KDcgLY6m1pU5ImkFUI 86UfJADLa72XBy+BUg/fe9XdQADKqkP9R78zkL+hcMVMMwEin8M+4XYGMh0N qpD5gPtLWB6z+T0D9QavfG3bie+jZm/ctScMZBT8urK2D9er45FVEclANAMW /PkHn5/Hf4+djuLndeQ8XBzC/ccdfXb9IANFHLJEJuO4ftWkTZOWDPQ+6GNV 0QJ+HsxKsjeLMFCG/prq9xQpYNL6yKl3VhKFDKdV99OkwNg1+2CRIUkkE+Re wxKWAnSJa6vN3kkiz8DB2hQZKWBZeDbH7owkmvdfehdhKAWcBlrbbnTSUYuO Z93NlVIANBBnwqvp6M5gbd3z1VLASLusSqSIjqz8Y9+PbZDC/cyYrDlLR6l+ 0g3elji/7txQmzIdGfrqNdscwPGSlvKn8sTRd3+Vww+9cT039lp4BYij+CCC Lu4nBXrOnH360lAcDYbO2bUES4HsnDsC1WViKDei4ZNdhBSwXfv66sNaUSSb HPjN8Qbmu5NzXK1OGC1VFA57NGE+lvGpmVx+VAyzEqpapUAkc+M6Ty9+5Fp9 zUCtHfsPj/2ZUONH5e/CQ3q7cP/9Vmdy7/Chox+2Tx0cwHbREO/+PF7058/f uQCaNMj+KrxD7SUVpQ79yGjglwatIjo5zWepyHzk40Z9YWlgJD19hcecinIm Xp0boUuDMXeZ94xWHrRvIY4WoiwNWPJOjy+NUlALQ1/k+DqMfy8UnclZhJsO HRpMN5XG9W90PmWxCIvfFb+rJqUBRW8sbeHfArwSsSKKvg3jhfC71ZsXoE3/ moVCe2mAon4IGizOwQoQ9vXDHhxPKvS5PZ6D+unl5TNO2D/hc5GzzxwUsTU9 YbEf4w3mn9s/zcL6crPRX4HSINJadPpxwwxcL3WhSegw5uP3dVK4MgMfBNcW Gh3B/hdnzOLsZ+BldQu/s2EY29kk3vnJhdwzMdvyw3F89JYrjkVc6Nf5XqPx LMb3mZYGp7jQMsHmp/xFXE+6WaynPBeW/UmAIAZjtmpkwzAHam1uyfSNw/6x dsKh1RyYmkGPuHIF2y28Z51ucSA/x87l2VVs/9fPiTnGgSfsrpl0p+D88OI5 fjsO7C9sl6GlYXu+8a8OQw505JeZ1knH8eovkaYMB77x2PvR9jbGgmnXJHk5 0PhV2uOTObg/H7ktblNsmCfdlXg7D+O77tVCWB9LhSgGv7mH8bzVB5luNoyq d7UZfoCxG+SJ+siGUxq3dYlinP80+6FtExt6nfshuP4xtr99T43A+vjDF9Yf j1JcT6TQHG8dG2429nwT/QLjW20eQxg/uZKbW/wS+6f8atJtxPp3sO+/T69x fVoLhbVtbJi8RdNjHmH+l2D18y9syHPbd5N6LcaZ8ccWsN4I4RYwrd9hPN67 NW2MDXvsh2ZD6jFe1+4YtcSGtg/1vtxownyx3zUhnQORwKEXla04/9ZegW0a HGjkWXz990fs75ikLLOeA7MrRo+Kfsb1DLR56mN9QZddYb+q6//nsTX7YhAH ngs9YuTy7f/zeXRC+TIH/mt4Kv5fD+Z3OuoyeY8D3TWnh+/1Yhwhep2C9cKm ryfvTw/i+ECZA6WSXFi8ujyaOYLtbt5P7ddxoVLS7MEtYzi/y9Yfcl5cOG9+ Ru0qG2PJxIvCr7kwKKuSUjaD4/1fn9HH+3/3zNL37/PYvkrJxktlBr4qPp+u T5MBiOdc5ezlGchvs0fhBr8MALWuVax3M9BuUOsmj7AMoKzYy7nNPwv/qDel dtCx//5teZfiZyFxUzY5UlkGRGrZq+o9nYPua4bof1Vx/ME/G02p8/D+x4rE PcswPurM9Nk9D0lxzwRdfezvl6v4E+/vgReKYtrXYb5rgqtOeC/C56xzAuRG jCfVMm1rFiFPpd2l+wBjj7U1M+pL8AaXfeGshQzwWGq9mDS0BGsOmZ3T3oP5 XRUtv7yhIEWnjuMRITKANahVppxCRT7TBVP9R3G+zurGdx+o6HFy+FG7k9g+ oCE2JklDFk2sUM2zOD6PpOZcpaGjmwODWuNkgK1Y3dmX13lRgz7FS+OeDOix 9nG79oAfhfPo2jZ+kwFGyy8ZXv8sjPrNRTo1f2L+fw3bM2RFkG3M8P7/+nC9 p1dF7N4rgjQkHh1e81cGjOnZPXj9SQQ1Mo0Ts7k4vvzQOLtJFCmbbGo+RsgC yrLy91P3xFFMuIpji4wsYHnsdnrbI44mKinfdRRkQfYMbyRFXgK921oz8p0l C4DR4ZmsaAkUsttSzMpAFsixpiyuG9BRdbC9jZKVLBizOL6NNUlH+k9WtZ+0 kQUme+xv8gpLotRpKdcPuzCfwC6xSyxJFBjxOTDaEcefy9RytZFEUrGuceNe skBQ2yVwfZYkOtu0kbDxlQVhgv5lw08k0QBdJf1ugCzgdr+aMX4riV7f+Plg XyjOx+S5E/UX79f5PvVvzuJ8X+uE6CsYqHXAwp51Hvdj9UTrgBkDrdfX6Tp9 Ece35E9usWMgiad/Bw3jZUHr46xtrw8z0Gl2Y2hsIs7vaWy2+ywD9a0rnulL xvldXrWeimegMhQidOumLLDcfUc47B4DqfHaX53KwPPYwn9mVykDxVuskt+V jXGXjtQLxEAHmqe1ee/JAidQWLKmk4GEu09bBpfKgrTZsPoZHrzvnLwvlvgC +/O/z38uTKADjM4Pj17KgpjHbwUJgkBllqvdxpEsGPAlnAvV8H7c66XGqMXn lf+t9Y8OgSTOJf9Z+U4WlKjL/641IpDPs9HQY02yoHN5A+m5kUDJtsprr7fi eVTHmqvj/fj1X5v5Zx9lAb1LzvMS3o8HLoVXdXTIAm1tLn883o+l1B5c4nzB +auz7xnjfYx83bld7pssCKEerIx0JFCAk4Dkuh5ZULrGsSHEBe9Dk6s7nHtl gelyHQc+vO9VXfFOP90vCyquK/RtwvvgsM41j/RBWSC6+aOIMt4X5d5ULasY lgU922wO5P7/+2geY0Pdo7KAl/L0XIsfgYLnlEsWJvB5ztkI5AYQ6FbqjuPK bDzvtn2ZynhffbMiYj05IwvqflKGN+N9dqzxwdL+eVyPmOodOt53mX5faiOX 8Pm6WB6NwdiSJhibQ5UDnVamRoUYH729Zlc1nxwAxp+44RjfXndQqldQDqT9 97J0DvPVt1/7QhOVA4I/LivqYcw+XH1bQ0IOOKxV/yOM86uKjHttZWC7RdrH 9P//vfKuio6PtBzWz8ys77j+MLOd/y7JyYGkg5NC7bi/vO6Ip/cU5QB9wLMj AvffcrIwrE5ZDpTGZ9d9wfOZZXRtHFSVA/o3qu/+xfPTLBakCS+TA1GPHpk8 xfuyndXaOl1tOSD3TdxyhROBIvoOJmzXkwMaKWuzfRwI9FGhRjZhBcZ+jh6z 2wm0+Gy8+6GxHGhX+OHjYkEgXTvWnea1ckBq+drJY5sJFBl9Rp++SQ5ohzCH utdiPaZWNG5khvkHty/q4f348+uu53bmcsDjZchfE30CGUytNbtmLQfKNL6V JKoQyCXRh790B57X/pENX+UIdFH3ekO7rRyIOOHDNyBJoG6PiT0ye+VA5Iqr NZZY78U2FQXc9JIDppa+OiTWi8/9vhq+9MHzsEn/VoT15E+a8HSXP54fr0XN rzYGMlnve44ZguM3PLr3AOvR33dVU7Ii5ICrRO3lmjQGGo76OUOLlAPMqgc7 irCenfDM2e93Ac+rZG/Hvv9//05FVW9FLM53p+0VEYj19Q1WdfUNORCfQEbw r2cg22iVsd9P5EAGf6jIVLMkqvBVstEfxOdxyqv+63c6qtn67XHSMJ4fJS5f qIWO6tUzZadH8Tyq9zBVIR19/sHsfc3G519NNaVn0dHEXubpXbzyYB7pu/G7 05G2pWLBERV5ELmk0sf/RAKlaMvzlu+RB35e/DseJIkhV3fNe71O8qD2Ef1F bogY0khZZS3uKg/qnH5dz7QVQ6VLO5K8PLG/yifvVLoYau84zxQ/LA+M2lLP PksSRcTFYWOvGHkgp5S50z9ZBCX/hAfFXskD7ZpTvsfyhJCLbJOgSaU8CDrw h8/tkhBS29FV6FklDxpD3r9x9RNCT8qmxl+8w/mHyg/m6guhD4k6Zz3b5QEy qUVOzwWR5KZrqS9G5IG3qRdR3iyAkm75vDvAUgAhPlfCLkvzo5Mnzh+NUFcA 9BzWxZg5PuRuf1vlhqYC0G8/b3jvJx/SF+442aivALR9XOjmxXzo/amt2mvX KYBuXYtUihUfojprXBa1VwDG3YqTeVG86LjsL+sXFxSA8O9syjEZGnKdXGC3 XVIARUc9tKsoNGTeIp87fFkBaIj0vDD6S0WMaLs51SQFcOzVpOBJREXFbFQY n4Hr8ypZlh1ERQOfskQ9nymAW99nb+xv4EEuKW7Non8UQHLv/JmddyiI+VRY MXBIAe/DAyb7EynoR9sL3/cjCoB1aHggNYKCvCUYPJemsJ3kbTi9l4KCY9+u WuJRBMKjsROSEhR0PtLw5jhTEcTML3/fLLwEzbO6f+9iKQJtItnrxeAiFKi8 vLJYXRFkd/66O1S3COPnehsCdBXBlHLDZqOYRZh6Im2xd60iGC7lsVkhvAjv B/F4d9grAtGlZdc6FBdgUFxxibGjIpjfWM3ZsTQPDR7sW0h2VgS165MtRHvn 4ZM/z1J3eWB7zLLHroXzsMIz4H3dIUUQ5BbVs5Wch61OHw1exSgCFlinSTs2 B5NPRobLxyuCkKZfUo375uCe1OV1JxMVAf2/fuHOLXOw62P0AeNUXF+6hXSZ 1Bzs22ma8jBXERhPo76r5bOQa54/k1WpCAYOt/CdlJiFEa+yLtRWKYLS9n0S hfMzkLLylthgrSJg0n5qywzNQAGVRNWVDYpAUGFlU9KbGSgzE2ZV+1kRxO/m ljDOzcBVD21uDowpgva/GR6seS58rm6hLjaF69/okPRomAvX3zJ7uIKD/WN+ jB/5xoWbo9dUnV7A/d49lnEdcqHtAdagqDATDCdfs+O/xIXB0lMmK9SZoPVI xhlHJhdOxP2r3qPJBJENqU40Ohcepw7anNZhgqAPTYa/aFwYMfrNo8aQCUqF V+5ZjfVK3Pt3MXtMmSClvVDZAHKgOKhmnCaZwCmFEeFbyoHJzysybm9mArlF vd62+xx4K/dxyR9LzCffv2/ddQ4sOJPeeWoPE/g9/Te4K5gD9aeue952YoIk 919R4gc5sCQgabh6HxN0mrN3LOzjwBd7L1JEPZmg6H0bLdCaA9+uOKx9Oxjb eeS2RulwoHWB/5PqUNzfBp3rVaoc2KTsbfrnGBOEqAjZGihwYLuIs61ROBOU vZgpvC7Cgb2/N4dVRzNBVLx1+k2sHzZnNd/RjWMCk9aRR/WDbJjt5NKUfAXb u8RKV2K94d4QquZ1nQls3vynfa+DDV9HLdg0pDFBBqHk/7SVDZmbLp9clcEE EW2169j1bNhVkt1Iy2WCnnbaShXEhusC9DmBd5mgICnIgO8VG6apl6m232eC mK0XvVWfs6FjasuJvBImCBN4uny+iA2f7dqXI1qK83suv/WyAOsxoT8Nx15g fqQ2WZyH9VX4ImtrJROMlWWor8tkwxWrY7c/rGKCeRfVL8032TDpn/QJ6TdM MLVLde2tVDYcvZeTfaYOx0uKG6RfY8OdB5Y3/G5gAkGhkeK2JDZ8qFA+vaOF CWotqzWXX2FD0XZz1vMPTECxMFUti2PDwIRWa+UOJnBlBeIXGhvWb3M9fukL 7qdgLCA4mg11KANZ/7qZIK+Zp/TmRTaMKT9a79jDBMaDPr6zF9jwz5Glqcpe JjBfCr+QdJ4Nt+nHqWj9YYIK4RUCrv+xYf5vGevEIXxf1ghPuEayIW/WnWOc ESaQkmaZXzuH9aWTQdb+cVxvp8ri4lk2rJZ8+f7dFMant6tmY6zasHXKkMsE zKFTj05gHBnVppw2xwQahrKF5zH+sdHNirKE7+slDdlajDdxBo76UZWAxlkT znrMn1ly7HYrnxJgCZ7b9QfjeX/KexMhJVAaW67xHtezTz1+MltUCQwPboro wfW+7JZVFqIrgZT4uX3LcX/yqbmWoYQS6NkXWv8oig3Ddhke/SKjBNJev2j2 vcSGnwVfZZopKAGPy+Ehe2LYcE31trr7Sjieu/giLJYNr4d/mJBUVQIlSfLF bfFYXxu7K53WUALZgiauHolYL987fsRaTwlw85hCKtfZUPIAT+YTAyWQMZGn tCsN62GFhHcKK5VAjOwz6WfpbGiQkMf8a6IEImLtf6nlsmHCNiOL3aZKwLTc vE33HhsOL70KfUUqgYqZ6E6/QjZ8cOTj27htSgDVqAZGl7KhkP7+8UkrzH/8 pLRfORv6/R5SdN2hBOY/Kcqcq2RDTSdqqL6DEug+nOpui/X+nY0rFJsO4P6d 2ELnf+Lz2Sl8Yc4b9zt9h373Dxv+2t87pOOH+a42zM6MsKH6+esvLwXjfo9f hSvm2DDv7YwzCMd8Fl6ivbIcWPv5Q1XwWRz/OnB5jAoH9g0U6mT+pwSiMmvr 3LQ4UEPEfWYmWglod+RU3VrLgfm7qtOepuD5JOrJu7vg94NHOuXXDSVgSZnz uezFgf2hx/zo6ZhPNfRiN9bzmimaJodylIBT0pZnlEgOvNsZ+1mzWAkIEovy GQX4/XRgt8ytd0qgKHvW0xS//+qO6J+tq1cCTCeB+WMSXDhwga+f3aQEWoMY X3oUuVD77otnu9vxfKkrpu1Xc+H9IcU9Yj+xP5LsywvgwgdH+65FziqByEOf jdV+cGF91Ou54gU8z7BNbjn/uHDoeqrXN4oyGBD7Y+W4yIV6ZZar1gsoA2Tt ruipPAOL5os+TBLKYKrvpzv/gRn48OJxSd/lyqBzo+XOgrEZOGzqdv6ikTJ+ /+xtMaHN4vep+WTuKmXAK3K4eEl6Fj7wlPrUs04ZtL84sHaF6SwsIJ+muWxT BjHGS/bacbMwb2ZMZed+ZXCMZqB9ZRX+PCvpTAryxPl8nyXftJqD6n6IJ+6g MqiL2WX4ff8cvNOR2PsuUBloUAjaYvwczHpqcM8sTBkU/C7fMDI4B28dCjJY fVUZOL36oPiheB52aThk7U5RBrbML6vC6+ahfPcG+pEbyoDSbprl8WseplmL TBRnKgOp2sH1P2UW4HWtB8+0H+B6PiqIwvMLMOnnH1NmjTKIv+D9Sc5nEUbv 8dpOm1YGpbkad7cbUNCdXd2uB7m4Xli97TygoAqrPcHv5pTBlbSinh/2FDSx 0eJqHFUFRB6l+tHDKMhVU+8zQVcBGRo9/1nVUtBKzoSnhp4K4P15yNjImwd9 Tzt/eusBFdCZ03dTrYaKZpLn4u55q4D5bbzDh7qoSCrhWKaQnwrQJ4Ynfo5T kdV/PqgpWAWE5KWIm6vSUKm/Nb9jhAqoaHxXP/ofDcWuZyT73FABBXqZ9V+t edHq7pz70U0qIEh4WWvILB+iG/hxH7WqgPZM/ZhmKX40fM7AovOjCnA4WMq1 MeRHeeqv+rS7VIDonv0Ohd78SCqwXaW+XwWEfVP6ONDKj2YjaNv5KSyAMl6q rXskgL6IrKmylGeBMJXvm15ECaE0nfSHTdtZIOqkq2GGvxiamtyWf2EHC8iF 9r6lxIuhXZUTGet2sUDrtpyKg8ViiH+3dXy+PY4P67HSnxRDxyNmAs44s0Dn 4b9pcRHiyL5lr/ZyXxaYWrivXpYggYpv0li9fizQHfgmVaREAgl5P5K9GcAC gvk1j60+SCDE5RfgC2YBSsvgLVKEjgzVnv/uPsYC81la0y076Uj0uFRu/HkW GFB/pnHjAx35kejW5igWCKK/HH/4C+sLoaBk7kUWELX80F44QUenb9f8532Z BeI1NYSdGZJo8N0RD9MkFqB32Aq420qitwptSsOZLKBxwNRj1VtJpPY7QvpO FguUWX/auLVdEp15pC3mlIP7fWioavBLEhmbR87X5LHAsfnDMHJBEt05ZPg1 vZAFGmW6I0RWMtA5lJC2vRzHiw8vr73KQEPfUMrMSxYYVgnbmZzBQI5zk0n3 KnB9J8u1te8xkP4al8s0xAKROfKNd18xUGeh5ulXb/E8U3/NtP1koC3vnU/4 17GA0/XHcmiIgYr744/I1uPzWzfoc2iSgS6qTgYcbWIBlhjXQYKXQCtvwH16 7Xg+T9QGTqoRKLN0Yu+XTzjfc4fvTjoEEvywzCH6MwvUUQ8fHzEk0A/ReJve LhaIMPtJWW5KIGtdaHm1mwWSHBTLP5kR6LnFhDn5Hc/rptmt5Vjvxp932pj+ E5/nx5Gz/bYE4mTFrbPqZQEpITX3rXsI5Pm6cjWnjwVSRHuUdjkTqLlrfEV+ PwvYnj5SSnUj0DquhsHuARbwPoEU93tg/S7tpMszxAIlFcF2Xl4Eoq+K03z0 lwUKmih7xbG+D7etVHMbwf2snl2xH+v//kPjyiKjmH946a9DANbvcRqK5WMs YPR2JvlfIIEqCvbK+k6wQAZn1br//35B+20sIT3FAmN3I6eFggl0rfe1RM00 Po+Lzr2XMV6kjIuEcvB8jvKoP/j//wMqawiqzOD5Kt394o/xpw17eZtmcX8P /ltRh/mAcywlfJ4FPGznnWuDCFR44vW89iKez3RTtBvOL5Myxu1YwvN7pjKd 7E+g84/Vp6N4VEHdwYc/vXwJNNLsOL6Spgp45/qTW7wJ5DR8eaSHVxWY90g6 fDpAoFqh14NX+FWBn1HAiWPuBDLUGvttKqgKWtu22BW5EOiWufqvISFVQA/R 2xzhSCA+T8fvaSKqIG2XwMNeOwKFnLvctU1MFcRw1s7/tCFQd0ZFx5S4Khgo Kss+gc/P4uXohzt0zFdBMnLw+T75rNZiy8D5Et1bPDYQSHl6T8MigeP/y3F7 ZkygKcOKGhdZVcB199dS1CTQ/h2jUFBeFYyNCCbrKROoPkCt4rmCKkAVpH6L NIGy82NKGcrYP3NbdjONQCI1r0qQiirI1v35W2eWgU70/CsKVlUFFN3elbJj DLRDcU9+vQbOtyuUca+LgdL6DNA+TVzvp/y19FYG6nso+HVYC9sPIQX5NwwU ASroEno4/mFYl1AxAxUdVI/YvQLPo+PCP59wBuIaLKT2rVQFlhfmopoOMZA5 t+PxcWNVANzNZ57uZ6CvsbF/bqzF/ao8s9m+mYGES8btuzdi7NR//Q8VP5+n Gg4dIvE858KrmBP4+d6cH7MIcD+PCO54jyRa98mpkmWO++2xCjr7WhL5zUKd g9aqIDJ3qsngiCR6Z36F8s8R29+KSMXU0xFD3E/xnBO2j+xtFC6lI/fPZmvo Lpi/CMWuy6Qjtv904Eo3bL9heDQrmI40E10/n/DC+RTUbjwUo6OoL7rFS4dV QUhpV8FEuDgyC363T/KyKuhJ3cql/xZGs52D22pjVYGHJ096ca4wKt0iuvJk PPYvSNLh8xRGmvJ2gt8SsV3f0H7qmxASre0qLUjF53eCm3X+oyDqlP8nBvKw /Yf5iMYbfpQcRZ+ZyMf8ZppSwxf40fbRlX3591RBydWDve2b+VFl7cmXIoV4 /lNnk9Sr+FDeYR7fz4/xfCsdZfcjXhTyRgoFQ3weirkyD5upSNdo7f8qtvJw KLs3jCzRDGMmQtZ5JUqFZOc7VJJKtMiS0rQpKiTCFMnSZksL4qsv1HxIklKo c6j01RSKJFHSL0tJyTBjG7/Hn/d1n+d+nvOc573e+1zvTJFeDcxbyyZO4Hkp 8jXb+1Jz7XQ9u5JueUoRz+C/g2zqYD64nvSWTkliN9dQXfY18K2eBrsmJMhI gqv0w3qoJ9N55094/97+HfQrsBH4If7hhSkShF1359mbJqin3kvvE1uCzAyx Dc1tA71IYcGpIjGu/ejn594O8QlHxpetFuNo51iXGZ+Ad5zcXtQ7iQfmPtPe 9wXqz0/4NnfRJG6uc+Ob98L53VO9s/b1OE4xDbnf0wfnk+E/dDhqHK/Kyfgn +wfwEVs4VUbjuDKkNULiF+DcCJ/mlDF8VZOj/2oY1h/fM2912Ci2WbpwMUcI /HWNg3WWo7h5tcBSJAJsc92TMwn3a/9HjiljkF/9gov+MxGeGZG4Rn8CsOSi U6xUEb6evH5z5STo5a5baukrwnb5atvdp4BfHIkuGYlwS+WXgG4JNpLoa5zd NiXEwW8KQ7lSgIWjMRXtQqzQe5jLlGYj0lIi6K4S4nyxXSJPho3QhXf2+3OF 2EFFNs1Bjo1ind0ETieEuHVhQ1bzTOBj5WJC9wpxqFNm3n4F0JNWZY2tF2Ka 945bEjTgKxruttmAHz60oOISHeJf9ZmpGAoxShwixkqANbNNCsGft+VUv6xl AC6smpstL8RhdxOavZiAXUZMv02OYMWXbp8GWKDv1RdzVjCCeZ1zeuNVoN4r 3l/Ogf93EnYOasyB9Socyb7eEdxOLxwvVQPce9PnavcIDtc/LLNKA+qxTre8 DVjZ1k6pYy7oTRwvmwP382IPGfXDWqBXIX//Peg5B9Sz5XWAN3Sc/An5Oo9f Nr6qC3zVAMtbPIKjLvpbLGODXn+b5xwFIZ5dbIT4FOTzVhEYqAlxSe2f1Tvm QXzZXz8SYL8uH6o2Cg2AX/+RbmYrxF2/4v2SDSH+TNaUobsQc2Xd9lILAN8v sQiAfqpqzQl5uBAwmT/RD/eJ0qWdUesXQXyAU1B5jhC7uv4b/20x1CP3X3hV Jdxn/ENTok0g35f9n8VtQnw8wjZT2Qzwn3kO0ZNCXJb/ush+GcRvPrebsVqE 11ZdutdkAfFP1ZP0QkW4+812vM8K8hlv8tiaK8IaU4NvL9oCPtL/xH5MhE96 q479dIT1fn8OLXk9irWDP8+IXw76mlFrFeXG8INEHl1jJeD64RO/ncZw/10b PWcXyHf/ex+PjOFNittd/nYDvvzQ0lVN43hA33CDuTvoEfPAq5oT+JTtoO9L D1ifqbeIv3cCVwecPDSyCbBRd33cjEms/+TmJTdfNrp2WL7jznoxrjcW5bdv hfr+leUvLBDjo5dc7u7fBvrUST3TCTHm7+trSNzBRp0HrANqSqZwKGOhPN7L Rml34maVX5Qg2K8kekkYYPPOKT1nKeIjKvdnJLNRaYXfZjeBDJHmyBz6OwXi D5Yo6ZvKkhL+5mPGaWxkkpS+QeWgLJG8OpLlkgH5BgeWW/TKEt5Kq6bYLDZq 7Jcv7G6XI8Pnq1YOFrCR+6rKNfwn8iRtUe2Ct49hP9rhwlMBdMKz8pWPI6D3 6SDnQj6d4OWCHtNaNvLPfXlbq5NOBrwNCtKfwXrXf2ZmbVYkaxLP6Hi8YiPG mvRzNdZKhJNOiSXqoR96fjm+IUokKqe6vbQB9ObhfT48JcIrG8hiNEF99lui TRUYRPbzhtmNH6b50Dy9UAbR+v7jT8xHNgqOe7rU5iyDmA/Hv1nSwUZW8jc+ CfIYZOesipTUTlhvdl9jTTODEMu58ut7gPfDql4myqTVqbxH3MtGPD1b2jZn ZfJr3bq6ku9Q3wu/ixO+ykR7V8xJxQE28qqUSZtKUCbRaV8nXwuAVzHXlXmn TM5f4bYfG4Hzp5/YWNGjTApvqFQtErFR7xfmg/FR0K9edTR5HPqRrvHKSotJ fj/v9LSfhPPIEISZLGYSuabIZT/FcH5xxY4PHJjEoq/oz1opChme4leGbwO/ IFjxZmIGhWKHNB8Xw/t911TH7WIZCpnofj8fwmWSDBXGAZo8hSSuHft4IxP0 HcN6+EoU0nV/H13NZ5KZ6+h10coU+i/1tNvu90yi43UjfyGLQr16fE5OF5O4 HWzdcVaVQi5F6xrvCZlkd2QIslWj0NHgz3GZkizCjVfQ+aFOodJUbyOFWeD/ su3aXbUo1HnLKfiKJovUFryrHNOGeJmEiip9FmkrPZhVqEuha+nyKMiYRQar 5I76sCkUXO0Ydmsp+PHn1zwV9CnE4KY8j7FhEd231ssq50F9/mr3vyIWsex4 y9o/H3h08+kHZxbZMyT95sUCClktmBtzHPzetsIV9VuNoZ70o8e+gP/23BHP /7WIQk+7Prd3g/92U3v6X9wS0EvKN0qd/j9hw4w6FVPIb/JjuA38t0Pi8ic8 M+hv79kPL8F/W9ifJLbmsF+1YZr3nunvU7WP6pdBPleUcxb8t0GRVNUOSwrl 51WJ94D/1uY4PRBYUUhto0brj2n/qx53L8mGQr/bjBo0wC8rNtaUadhRqL8S JwsAyyZJlt6yp9ADjZskctp/2zveQn9RqDE8Zc7098MRQWxhE6KQvsfwiml/ PlBEbu5xAr5bXTwb8DeORMHocuD7u8fcQK9dHV0/t5JCXu5fhi3Bjzc3xlzV WUUhdwXV4kao71USzilzgf79kutQBz/+1GEqa6Urhewu5LrOnv794LDD5dY1 cD4OSg8J+PHy4uMXAtdRqPVT84AOh0WKdz5OF7tRSKB5odxsO9xXNMQp6e6g H6b4btSXRXLe2J/T3wD98lfSCvdikQunjp2u2AjxOT6+vE1wX/rrUaLrZgpN RGT7p8N9KX5k4mSHJ/Tb1m3KFPw595bdiWAvCpnzHsw6C/48bBf3+AwfiE+u 9811YpFdb8ePGvlRyH9Hl8GgJYtsPW0bXr0N6nnI22xuxiKbUPTh9f6w3vr0 EnOYrxUlYweO7KQQT5jpe0CHRex22wTO3A3PR3VYEE+NRcw1owKu7KFQ2JHr BXnKLKJ/ZpRTs49CmZkdGp+kWETT0dp/UyCFuPy92jrjTDJbdNSvJ4hCxqu1 PlBw35TeI9pCDwb9Gj6NC8/LV0fhWu9wCokMbZ7EPmaSNpGFa38E4NznDaJy Jnl7O3xVTCTgKe0W2yImqdUacSzgwvPxv+Eog8tMcn1UYDEYRyFp/+2fbwYx CefOH93TqRQ6d2OrsZESkwTFbZxwTYf6FZHEGkkmObKx/D0tg0K7eJZm9kPK 5NTwkZS0SzBvZEvN5RZlUmI9On45l0LVJZJSbVeUyWjNVMuNIgrFU7YuAbrK JO0tLfnpc9Dnxt2OVGGQ7LwDAYkvKJQWnG61QJpB8sLql7vwKVTc9wRlf1Mi 91XTxvj1sF9bhYq2q0qk3YcV0PQO5v3fAPutLCUy/6v68q6vwHsY+FQJ6cSk PEo7/xuFXr3vS9FvphObhI+ju3tg/XydR2dK6WTt/NzSvu/QDwmP/Rv30Ulo oK724CDMb+SL6rE2GuHanRgtG4J5lHuZEVxBIwn0ruawYXhefy8t+5lBI5m3 886KRDAvBakZUuto5Hqs9N7KMdifnFlZjhGNFHnsduJOUGi2qKjBSZZGytl1 Wg5iCm0VH1Mc6ZpFHg8ZjE5NQX+8is5V4Fnk/1G0+F0= "]]}, Annotation[#, "Charting`Private`Tag#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2], Opacity[1.], LineBox[CompressedData[" 1:eJwc3Hk4lF0bAPCx74xJkoSkSLJEUso5lWypJCQhpCwhhCTJTkLIViGhCAlJ 5ZUhRLbsW5Ls+27sfPd8f73X75qZ5znLfe5znzzPu8f8js5NWgKBwMhKIFD/ m+Bpzihr8UR5pSVBScGHQi5vFta6ImyNmFfSTl8Cb/0o9hUWvo9+FtmK3AYn lIQKMQg/RjQ9fvdegiWnLcK2LJ+ifY2Zc7ngP5yJm+vtkciA5YhOJdj2pIvd ktBzJNLytXoK/LGlN3XhTDw6/4JmjOBLIa/e1uqetXyFeOxUVrnBSTTdj5fO vkY5ab8294BV6iL2UdqTUX0qYU0GPBKnVrpgnYpO9KvMKYNDLDaM5tfeoHYx /pFzYBmZj8uzoWnoykvO3ivg5jWrqBmhdyhqsOSPOdi1UlBmOjcDNan0DtiC +Z+11EyeyUJvX0uuuICLTYItJ1rfo2+vXAU9weYSmG7c8gOqzHhl4A+mXXP/ teCRgwiEF5lPwC29ersXzuaiw/lWuyLAb3/I3J7nzENcBUJZ0WC3LLavc+15 qKW23+w5WDNyiHEu6SNyejaG48ECbqW6s9b5qPCO+/lE8JRxfPLM4U9IPGDs yStwyZl7M9Nrn9Cjd8mEJHDkAR3l6fIC1K66K4f6uQXXoZCp0M/o7fk/idTf KywydU3qf0FsPD6N1Osz/e4TmxT6iv4ofNR6Ae4o+eYyMfIVMblKbI8FZ7yN KxvPLUQZIbnSz8AeIXe5x93/Q8cYRF6HgS84Xbg+dqYIGbPctH8MFjY48H6U /RtqOnQ33hc8d5J+baT1G1o4pivzEBzDUhgzbElG3nnLCfbg/HuaTnf5SpCo 03afW+D4saM75z1KkI3M515jsH0DyXLubCmaT2kToc7flTMETqeMUuSvIcB9 CowLJvNnOb+jPH7XpwpgUnwV7Wz7d3TH11tHGLzGWfDO4UQZorttkswDHvBO 0Z5JKkNWKm/imMEFlp6J09bl6HY8fjoN8WcoJ398aq0CKXV6qhaCX1e/chwX +ok+DvYyqIMX4j5J/A35iZiX6E4pglUta/qbVn4iDrWvPuLgCbolvcLmaiT+ 6osiC1jx5IXjjwNrUZDEF9Vabwr5CZvFvMdCLXrmwxb2DdzTeT/LwawOEZb0 dn4A+7m+ETRQqkePKld3PgM3fFinFZv+hVQ9vzy7DiYhFhMOqQaUZStfcxms tD/qeKBFAzLPtvZWB1twCO2gedmA6rv0v50Ehy28m3dvbEBXzHv95cBffss3 LDA1Ip/Q+n8HwP++k7PslRuR052admEwa4bm4xHnRtRTbWrPB5aPaL1pntmI 4kYXM4lgEzfT093/GpHDrboYFnDg9XFBfb4mJDtKe4QOnKPquvbrQhP63BIU suFFIXcdounQ8G9C14b2pSyD6baH5Jf914Q0K508F8CS67wRJ+eaUH9Y+95Z sH7/a7vP4s1IU+Fx3BT4UbWkpuz1ZvR6PeDfBDg99/P+zOhmJF4US0d1U9xp un21zShNWu3/XntU9zeRtgUtivUPUC1qaVDEd6wFGee6ZVGvd+FCf1zknRbE caDRmHq/e0fsXdjftqCgU3fWqe1JEli5FNDdghIpT56sgKvp/KQI21qRpcM2 zi3wwhgnm7tGK/rQ8jqAAfq7u+n58PyjVsTB5LXEDlb9KlpuV9CKlK4kmW8H OyR9SBqeaEWXdr/8KQh+EXj8odneNhR7JvMQdfzL7Cuu/r7ahgjFGU/lwbwn f5N+/WhDoksDFy6AseitafWNNvSGUpdpBLZmm635LteOVOTXGGzBRZ2M/gVJ 7YixJCkrFDxUEmEm096OFirFF1+BudIFlDM4OhBRnV3uI9jc9fBSgnsHCkHO 3t3gEONvzTtyO9CAytDjOfAnFfWciOEOpLnif48avz0Hm0PYBDuRPe5W2QNm 3mZi7a/bibQvt48fAx9eHTm7FdyJtm1V3LwMvvbvrsj90k7U4UlveBrsV7W5 ObfUiUzFLBypv8/+8Pi3rVQXWhOMvE8Aj5HGQjTNupD/4KW8f3B/MVdNZfGo LvQg7/Hqd3DSCbbX/StdiJZZZ9YfHPkz5JZhxW90i3+OhgtcLzm5Q3H5N8qr CEdzMD9s4ed/bj/YjawGtm+0gv30OSUbw7vReson6Vdg1/6ns2pGf9Dm3qXF Y+A81ZnkfU//IKma7E8i4Ol32rp03/+g/Z8fmLODrRy4PxeL9aCOHqnPfY8o 5NRmR6t4wx60u/Gh2y/wP4Wmne6hPegAZ8bVb2DDjUiPI/M9yMWkJDMeHGM6 f2jb/r9oU4pFPgzcXHb574zBXySS3cfqDSaK5YfXP/mLOEVklVzAWsE8p7OK /yJ7ac9fNuCgSef5x7N/0YOH841mYPN0myY5Ui8KPa2nZQgmdPFnJh/sRb2f 19V0wa/Yany5z/YiLtemuotg5ZMPjLxMetHFL+pDWuBu+4NHpu/B9wP0np8D uyf95jCJ6EXGVbZTVPM1PRmqzehFl465T5wHF9CdICuV9yIDzd/PL4F1j0zE ZvzpRU79Buv64Llb8Q47l3qREceenSbgiDgtjSDiP/T3UcnCLbBM9fqepQP/ EMN2gWeO4Pq1rNWbZ/4hL2GbpYdg20PGzS1G/1BH5kHREDDrdY6sM67/UHv0 vl3U8UsP/+aX9/Qfyoi++uc9WPW7nfGed/+Q3J4tm1LwwPxuhfDv/5CwgkdZ G9h3Xz3n1u9/SIrBZHASLHLFc9hu8R+ae3SpnhHmsyRIqqSbsw/1Ve56sAe8 Ph7mWHiqD4WuPOM0Ar/YjTQPXOtDMxe3Rh+AFS9Oi8Q59yGLS1lOCWCXvIst Lml96PlMi/UgmGdgK2ugpA+FP4ooZ4N4zNue43+5qw8pxBPeUPOttpqpyff5 PtRtZbBJXb9TbsSjshz9yLAo6nsgdf1llHAl7e9HBgft+6jrU6LbYYQT96Pc S9/S48BVHHtKH17tRwVEYSUFsCVqfD7h1I9ktY00muH+hGRK4e8n/ShPX3XU ERxHL9BdndqPCKcCzhHBVT9vCb5r60eFrS4d1PkX111Pvnl8AAnudHhR9RDG o2BPue7lAaQYKdFsBTbYqTZ4xnYA1X63qmcBB/VEiIkkDqA/ml1BFzygvrIS y+qhGUR3pFzMhtwpZK8arbo6/kEkUfqTLhzMJ+U0VSQ3iLj3+V1RAqvPF8m8 vDmItK1uesfep5B79fouBXsOom/tO0PVwW5fmO7ejx1EkwePf1pzo5DfPdT5 dOXnIBKq5Sm2Ap/uvdem2jeI0vo960XAXacTlo6sDaKPhxIN/96DeGEeOcZz aAgpi+cqmYKTbTiu0akOoenTpK+i4ON1hz3mTIZQZ+s47YQrhWwT+bC4IXwI VScrnPIF0y4m/yW/G0Knp67qXQa/uFJF+PB9CJ1cwi77wYcLJ/ck/h5Csg/S 3q+7wH4gsO1M6MIQCtabZ2kDmz9StPDgGEbx7mJReeDVf8b+t/cPoz0/2nQj wZEqvm8N0TCSTuS97AI+mJZeqWEwjEatHaOugctZ6kcUHYeR0+8OgbNgI9t5 FvHgYZTOHjclC16o5zu4I2UY7b5zllUEHCKrrMVYNIxkwvLtt4NFo27YLbYM I5QyzMcOLqIEhQ1MDqP6NQI9I1j3avaHZsYRxCIrf4AOPPFfc8N3oRGkKfP5 EdV+giuzuYojKJ/n4zr1+wLegtteXxpBBxrln3GA8/vPyIfbjCDvjN3yO8Ba qtZ6j3xH0BnvbfV7wQPpYa728SNIa9zhvBzYgy0/1vjTCIoXOBJP7Q+PfecX rfoR5JI4/9oQ/L5hs1NpeAQ9aC074wRWlRNdkyCMoi09GYsQcE+0hgD/zlGU x7C/Px3sumx/kuXwKNJm60+oBHNeizJZ1oTvBw/aj4Dffvv6aPjGKOqW7jrE BvOlLPw3qc1jFPl5B3+QBrf50H+viB5F1xlrKvTA9oMH+vOzR1F+dtbWlDPE o0knc+nPUXSnKzRlx10K+XJHkFTdwCjad2ifyQlHWP81w/cH+ceQs3OmkYcd 1C+5b4i8gWPI/lTCs6GbsN489ijfuz6OQnaymg3pQzxSGm74uo+j4OdtHdv1 KOSHd7weP40eRwEflvI1L0O8mP9tSasBLxWN/7gI9Y96wu2OoxNo3UPabKcG hZxYqhUxoDOBhjLi2f3UKGRupfWCGbsJlCPAnbZ8lkKmHLpGy5I6gcaG77fR nKGQS7ftfH6MOIkIYx9Wkk9CvRZaVXz24CSKfOtMY3sCxofRbeCS6iSST1wT PqNEIe/0EmM1MZtEA1fkmsWPQzyttEnbeEwiK1+98N3HKORNpwA919hJFP+k rG6PIoXsOHHkgU/eJGpq6ts4chTm++ZgUljdJBKOWX5qqAD12t+oHy9GJhGP B8PM0yOQbwxUJt7STaGk2qSANnmoT5vmuT8KTqEB3eYvUuDscylHycemkCFl djhODs4LFTrGNbpTCPffc9wOjlSm9W2/M4W+B/Zmpx6mkBm+5Kb3B08hPhHv RVWwm6xZ/fSbKZTPbB6zLgv1QwZxYa1kCnkk7eipABuJluxk7p5CY3QveVLA vxLuIJ6lKaRrKPIwCnx6h9BNYdI0Eulb1nsBht03WPLQNJrK0u/IB4uxeuYo qk+jYi5FxQHwC99DbSo3phGhUj5VHO7PvtG9pu0Jn//SP+sDfuQassf4+TSS oMwoz4LnppXUrPOnkc0ul2wX6I+F9bity69plCermckF/W/vexHpPTaN/GZf q5LB+6T2df+gnUHBu1uXnGH8esbWp7SIMyhO8OhnAoxvXFoLTfPuGSTV8+V1 PPiSRRbP1YMzSIZ5mKwO88G6x0/sr+IM4mxe2MEA81V1IkLa8+wMUmci+JeB AwwSj+7WmUG2VY/4wmF+acO/qF27DZ//YMu+DPFQkllxcfXeDAp61J6uCfHi Wdl05bnfDCohBvx3EeJpdXPCsj1hBr31YKb3Q3B+4F+945oxg1rMHEU+Ylif Ckxu2z/PIK/09gMzp6D/dnuCLjdAe5Vs3j9ToZDHu/XSf9HOIltfvj2emnCe XDbPseeaRRPd2dL8WlBf8Th84RCYRVGdnaZl5yG+zgVXnTsyiw6zU16euAT1 SmHxSKXlLOoqTmL4YQDz0VYzc8t5FrU0Rf78YQj71VzHMoP3LFIRatdpNoLz 9oF5ZpUXs6jhoUo7pxmFXBsndqCkdhYdXzekZ7GhkIPz5WWvd84i9h0KZma2 sD81nDq2OTiLcLWFb5k95GMmI40TW7MofpfYYArkgyLXcOsvsnPoxelskVrY D9/rrrzLiZlDwdvID6yfQf3iwJh3MWUOlfgIPJSPgf07ZFvh1Ic5JNJaK0f3 HNZf2aFqyZ9zqM37ffu7RFjfh83H0tfmUFft8SmODIjXC3fm1JjnUUzql5SR LAqZ38ZjdYhnHolqpUx8/wD14+sY1n1S88jKSmLy7ic4zxFrJF6bziOLlLrb i2QK+evR3Z8u2M+jrstLp958h/EzuYPWH8wjvvzRyjMVsP7eb9O9EjuPkle4 2zWqKeRbLTd76N/Mo7c82aMfamG9rX22ysubR0QtTTLNL9jfNYwectTPoxPH yJy3miF/O2Yz/fd7HmVv/6R2r5VCRnGESKvReVTgo/ndsR3aN5T6tox+Adla lp8T/g35iGNJxpG0gAYia/Wau2G/kdf4T1B4AVn84Iuz66GQz/hO/rqvtIBK pni36/+DfJyBDMU0FpCAbGlISh/Mb2PEQIv+AqJ8mito66eQK5b77X0sFpDD DVb16QEKeUZIYUXaaQFVH7HbmBiE/UotyPfPowXktvku4dcQhaxm38XxJHQB 1V9/uRwzTCE7RUvGKb5cQCemAodPj8D4F3mKDKUvIIUb+Hwz+Gd/Q9azggUk /EuJV30U9lvWvUdPlS+g4Nxcxddg4cMupVONC8hzIDe/B3zuauW5+L8LyEvt eBRhDOLfa2ebxuQCmiNqjjOCk9Numy6tLqAfH+faZ+H7dfXfxlKZFxHP6Vs+ peDlRS4XHd5FZHGUbrcreO9u862tvYuo65nxABf4gkr+4/eyi6hc/qzQU2if +21GnmtoEY1d+im4AP15E2mQyHx+ETmzHVNG4IavGeIFhosodVq43wH6v967 nnfDahGF3Tr78DGMjxjzxZPcrotoYuR5wGMYPx3p15XFvouoY1Le1xHG11N/ /pJtxCJKdsc0p/uo9dfZ7p2vFpHW8eG4tV6oL2tHZ5wLF9Hq8IE0SZi/g/NK D0SqFpE+3+lHb2B+9fnDGBpaF5Hts2w5Vpj/91aH+Q/OLiKHaJLxC4iPjqd+ qR2biyi7stKzEuKH/nObVAA7BZlrTbb2Q3wZMjw480+MgpwaO3smIf4CJOvq wo5QkGdAms+fOgo597KQwYkzFKRP64hKaiAfuDv2jWpTUFX++J7Yn3AeTS6z jTWhoJzf4so3KilkuZ/bl1RsKej4+RdyrVUUssmMpffcfQpSZV6N54brB+8o ZEsKpCDFZebR/dCeT8rsMeejKWjmAs0+ErTf/Lcuma6WgnBodGL/DOTXl//s HDspSKqYbfTbItT3hvYCf4coKGwijmS2Cu3nX6vWWqCgVfJeoZpNqA+6Au8X 0iyhapN1mVXaJXLWcx5xca4l1NAh8niCcQnqsddt0QJLSCUhMDCJdYmc2lEo 53h0CSnXtkeqcS+RteLU+npUllBbosr6UZ4l8sKVlnAtnSWUL6teMcC7RI7f YYYKry+hElXnca2dS+Sz7ZOTYnZLyFnpXMidXUvkqRj3+Gj3JeQgpjt4bvcS OUaf6Rxd0BKaURfX/Se4RFbmjVpxiF5CYTn39aWFl8hDrcLpPclLKIRrW/CR PUvksOj3+lo5S0g1viFrHqygd5yh8NsSypiPiLcWWSL38FR+FKtZQvEjoldi wYEtl82jO5bQ6sEDqx5gmaheIt3QEmIunvjOD+64bEd2mF9CePspTke4nte2 VbsewjJSmFQ38IL7izcHCGhxLiPDDOUTGkJL5IbIbTVfdy2jDlU551pov5tO 0n2xA8tIv6Cig1VgiSxMOiQerbCMXAuaTBn4l8g/G7+20aosI8Y1gT3fdiyR nSJU/R0uLaMf7yfPyW1fIvNfapbrMVlG2w+/l7EmLZFtGibCv95fRleeRC3s ZF8ik8LvI7HAZVRxaBchjnmJXHiRcSoqahmJsWns7qZfIrP9Ejrn8GEZ7ZtS 4Sxeh3ohLGvlT9Eyuqnv0H99mZq/j6Wfq15GmTu+1vyap5Cz6nQYxAaXUZXJ 6SERyAe6oX8/Rs3B778962KF9biuZWtOS1hB7W6vLKr/Usjna/3Jf/hXUPOB W5ldLXA+rP5yP0p7Bc0Vzl0N/Qb5NfisOK3JCtqSSfvs+RnqW82mtju3V1C6 5W1rk1wKeYjluv8ftxXERrIIk86kkJ/+HJc7F7CCQkKFdRZToX597Nb35dkK ShZ5OJ4H+0+vOkPE/tcr6NNum+jMV3C+Y45EUdkraHb8pMLBt3BerxKcoila Qe43pA77wn7UEZgZf+fnCvK/096akwfnPTXFc3/aVhB5bP1p7hfIPz8upX+Z XUEy0o/fi5RDfRbQo79/awXpJe58HgbrU1j1NkMU+ypy3GOYWV4P9WSFn/kd sVUUUNnwM7CDQhYcUGWkyK2iLmn/kxWQT2poWTI88Cq68JSwUQf5x21PzXm6 86tIKuLkcBLkr304dPbx1VV0SERz4QTkxyaTi9HEW6to36LgkdfjUI895D4W 67SKBnzvNtdOUcidhdFeqU9WUcyxbZr3FiC/dF4RPRi3iqoLqqcXKJAvlndW 5aauov0fbEKPrsD48HbfVsxdRU16BhXKaxRy6JFELvK3VeR81uoS6wacJ3VN P56tXkU/ZV/SvoD1PuwkcqW2bRV53GsvmdyikKMiBlZ1+leR6/NXwQw0S+RT OW8TO6dXkcN/Fc7/wFP1VqdN11fRwj6BDG/IDy8nJYaGmNeQYJ/I7SGwOvvk Y7vta4j+QR4HkW6JvCjx4dDCnjX0m5KyvgmfJ2s4NrpLraEHRNfPH8EXreRc aJTWUHXFdKMUeD1gkS9IbQ3tVC+Zd4D7vXvzuYhTdw05GQp0uBOWyPrl902j TdfQF/mr589De+n6legF7NZQ+7yf/Cj0L4dmMy35/hraeLfudRHi3Vi45NyB gDUkI0RQ9IZ8x4p8pj9ErqEx7TMOjyD+PxurPFN4tYYYvz+8dA7Gk/tlVdeZ L2vIjG874dIshVz8NdizunwNJRD/2oXCfNzu0BK51LiG1CuCy+Nhviq2N1qb jK2hkFNXSMdhfTjBsXOQsoam7W4J1UB9IHRZL/c23ToS51PAR2D/uR/euewm sI5sfVTdXrZRyPs/vIzfEl9Hq0d3sr1sopCb64xxwJF15Lb7R5o7xNshtr7A ZxfWkV+Qvf0/qIf++Y/xZnuto4Jod33fj1BPpWYVyoeuoy/CF7i+ZkO9VGZv 8t/zdRTk8uZ5zzuoh/7J0J5+u442De2JFFhP0YT5N1V568jVVz2KJgnOE0Kf NC6S11HhqUVNupcU8vTJe5OtNetI/vMPk41oCjne6FiEUcc6ehZ91zfhBYWs 8WBNvn9gHW3ceha1BeuP8vxbh/XsOhJJ2ems84ZCTvnyyGNmYx2NfYysegb1 4cYiXfkG7wYy//0qpiMf9kMH9st8GhvI9lPRJUnY32pfbLv/Xn8Dpfh63eGB /XKonP/VaYsN1Deic6q5EerJnQfGbR9toDuNW8w1XXA+PCPDTRu6gdJHyTJb MJ4X7Y4ejX2xgXSPfXEkQD3gV3rWt/TTBrrZw+VhBvkrcVzrnX7ZBjJ44s33 bRLq/+26v8YbNpBSSILLH9gfm9C1Ra+eDSRxMji/BPLfpLX5Lt6JDfTWooHj JsQDc5T1qcyVDXR570pjFcSLSLGDJWbaRMlCB2zGIJ5OjNwLbeXZRJ09Xwyq IN70SY8+2ohsogXR6mNmsL4cTgR0bklvIl6trrKPEK/Bt0K3ok5uomWXS1XF EM+p4VH7JM5tInUPTnlviHdy4ctzZINNNBc0zbUK7hpIdtS9tYlsT1zxFof1 scCZETt6dxP9U8uuZgNzHsv95um9iXwt/p1Lge+L3/jSv+3pJsoJ/e0zBdc/ HUpmeRcPv7+5zkZd30aff0grZ2yijvTg5ERon+u/Or3mz5soJkVkDx2snwi2 1gdWFZtI75GwDz/kj6wj3a83mjaRjClj7wD0/8f1/srI3k3ULNvjYg7j0/t4 bFJsahN95ox99QzGb/Xj7LZva5uoUcKkyw3Gl6dn+ZgOyxYiSc6Xk2D8pZgJ psO8W8iiaUnIHOpF9cNMAR6iW2j23/F6S1g/N4w4s7gPb6FNuc0WUVg/ngHb m96iLZTRdtToBeTXuByBZaXzW+jVgfrsn1Cf1dIfVLlltYXqy5IirlHjR+qw zZrLFnLVl7EqhXqKcPVYeLjvFvo1wBs7XEohH3mv1l2YuIXCFO9uewjnEe32 C7TaWVto7O3TihlYPzY0+uKDX7fQwPC954fSIX70LJy5WrdQdfKfdXaI/y+P br9I7dtCW2eruT9Fwnp951RybGYLve28eln2Cex/zfeH6je20A3HRz1+vlAv PsKMeQwEnCsas0UIhPzCo/Lcg52AI+OHd6WEwP7xTk1SbRsBi1gMVpyE6yk2 X9DpFiZgtFco52IChXzWSmfwrRgBmz4ieJckQ/27oefmKEXAzyK06HZD+2zF jBMZTxDwMV6h6hDY314/uD0mc4WAN85pxy5AvpApYVkONCbgH3F2w6Jwfiqh T2f4e4OAnx/6nicN+aU3dEA41IGAzfJfR9RCPenQ5CM14ErAIWwcRYadFPIW 754TSg8JWLD0Tfh/MP6CScZXRh8TcJo8+fAU1NvZA2sWOJyA3+6vyC6C+Tt5 4IVTbAwBSw6wyV2B/a3WTtFrKp6Ab3W7aBbBejTKaws9m0LASjO3oscm4HxF cX4Z/46AHYOPVPdCfn2gtO3d/AcC3i8T8ymBWr965RZoFhBwdiCNkvAcnK/K L5a/LiLghi4ePUuINwmWqcbl7wRszDO53Qn2x6/nQ/5e/EnAHtgjDUG9qx4p Mfn2FwHj8M5zv8AdbVWrG60EvDn0xFgY4tdqlyWzXjcBSy3WXzwMXrrOwJvV R8AmI03Z9OCA1JS9dKMELJ5HEYqF3/OOnpI1nCbgmLl1s1G439tDvcq5iwTc Eah0fg3ac8TJU4t5nYDzaiuaa6G95QUChtdpaXB9SASNCewnumuFlgXMNDjq S8x69jScd9FVFw4uGizRO0pfAuvjrt+Sj8V2Ghzs2egcAfsL7c/o8P92wfcF 20r2wnqJ5JBPJInQYH2Lunv34LwkotOUaS1Og/voe0+HQv7LjXH4WiIFnxcE D96E+qNB6H2LvRIN5pvbc+YGzKepxbm+ilM0GPfYMwfDfE+nj04LqNNgB/qF r/cg33Ie3s9Wo0u9/uvt7yE/J7qW84lco8Gmmn4vlspgP/rPfP99MxosKl1f wgnndy2VV6fE7GlwfNHXkneQ37uDTl70dKbBRXIsp2Th/H+77rdRqzsN9rHK +RAC+1GwPp+bbyANlkw2KaiE+OZ/WeDfFUqDB+iuFWbGwvntr+4z2SgarB3M 7mcbAetBdD4p6AUNdhvpndGC9VJlFZH9N4kGRy7LJF4No5AN3ksXKaTRYJnB mbBr4VDPzNb9DH0P3zcvLr0E64nxAeugUiENds0q5doRA/UoOX0usoQGT6xk aQ/A/fbRqxHGftDgtk+eQsnPKWSVUN9dcc00eOzqBe6JeAq5pXHPgelOGsy+ QEpyhfrzBm+JgmovtP9HQtQU7H8+r9YvLUxA/75vn0yB9akt88Xx4DwNTmz9 TdeVAuul9G6E+QoNTu7yLF+D/XfiknTu8y34vfSPDGaoVwv7xhoaGGjx6dNv lQhpUM/efTvDxE6LTWa0GfrA+vTmRESixfRXzrx6D+tdNHq3jCsfLZaRvJRh DuM5t6/z4ntBWsyZ9r6BkEH9e0jUnQFRWlzNPFcRCA5T03666yAtXmjYo7ZE /feaDrYPOrK0mDUzi/8i1NsS1pX1j4/SYmVRe+JT8PKKz1TJSbiefCbNZ/CP YGXO5TO0mPiOo/EHOGrX6iFpTVoc5ZVgUww2z/p0/pY2Lc7BX8oSwDInHe0S 9GlxwBXG3xbgzTrJ0BYjWtwUaf9lG7jWZCSL7QYt9ihmssuA9ryYTqk9bU2L 3R2Ztx0AW3ldn7h/hxbnCXyqewr9U+DexZ7rQos9b2r97IH+0ye3HRx5QIvF O2aP84KbDkeeE/KhxUH0saYKMF5JZedv6wfR4nC2fi8E42uvy/IkNIwW78/h G5eF+uTEYHlGeRQtrp1fpXDAfLC6elWvvaDFoto59C0wfx2MJ8YOv6bFTrGp Hn6vYX3HLrHYpNHiC8HWv4SgXjr11V6j4yMtZp5NneaD+OXUlLDmKqTFFu8b Ku5B/dTdNRikWkKLBUNmAssgntzWjarya2G+WGPlRSH+ctA5tYhBGG99Qy8B iF/PBkbLqnFa/MP/aeMC7B9aZt8DtmZpse7CyVDyY6jffI79sNuE/sY9fiTt D+eRH2JnNXfQYZ/FboWIB7Df6PdbeO+mw0nJ52N47lPIRcOJfl/20uEJVUvr CFdYb26GqdMH6LD9cmg6szOsFxbe8v0ydPj0qTztB45Qf75o7DdWoMPOegYz f+9QyAsSoXTRJ+hw0ZP0riPg7/+p7609TYf3X7ts9syeQg7Xoj9Dp0GHY279 S1m2o5BN/pDNj1+kw8T8uuKbYEn7Bz6OenT4rU9MTZct9d9fFZLTr9Fhmaq6 3ivgqqdzpX/N6HCTwQHSn9uwHoWz//Fa0eGR/yIdbMAWudY0F+zpMH2OAisB fPj0vj3+znQ40ixqLMEG9vPmXlzkToej9EP4VcB+o8Wv3b3pMGPlxPYJawqZ hZBAeyyIDl+I3j2UAA7jfXBjKYwO57S4hFwFkw5dLf8UTYd71DcYhcCxZ47u c46nw7cqvLSnrChkAcPtAYdT6LCi5FvTSnCSw/zQzDs6HM5BkMwA7wtsVPuQ Q4f1p4VTY8AZCR/S7T7TYUHl7M8hYKn8UBbJYjpcPe6kQ/XH6ts2Y+V0mL3E 0TgarPhPoya9hg5rmiwVp4GLlsQkLZvocD5dlmEZ+BQnY+i+Tpg/whvuEfAP 0YHJ/r/w/XmX79uhvZpK3y8kD9HhwpJTGlrg+ktJH0wnYf4Nah49AV+28iQK LdDh5BMBJ5vBHZ5Gjn9WYTza3l7ZC+NlFH286SUNPZ6KO/z6Abg3k0/OkJke Vy9yjf8G3/xOecbHRY9Z9/LSq8D420/n6UUL0ONsUbZWCZi/OYaIgst76THj 5rDwO/A9gTs7SBL0+LjUyA0pmH8vjYOdYUfpsQGLVb8WxMuzlBSjIB16HOQ8 vNzkQCHzFXp/U71KjyXO7lDygfiLb7guyGBKj53IT+4qOMF629jV621Hj+N5 /svMugv11pWoGw+C6HFLQdKRKojnE/ZO5cee0uP8Q0PSsfco5FI/7X3L0fQ4 ZmS1hvr31upc9mHnFHpcJPgmi+ROIV+oGlOTy6DHWgk/tcfAzT1V6bM59Jh5 gKJXBuunm83fxr6YHvP2bxx3ewj7o8iNGskKenz6oLTLZU8KeVDxlOR4DT1u ipKrkHoE9eFFodB3TfRYl/HOLhP4fOrmxqRlJz0+fMh0VRd+f9fj94X9vfQ4 4PN4oq4H5NPIrx8GhmB8a1bMjOF+NCUujmYL9HhhL6P/E1ivAW2Xm4TW6LGb O7NLLrSfdVJWroeGAVNo/qT8g/49pSNGxTMzYO2DrhoCYB7+qQVDLgYcEv48 1gzGI06mVm8nLwPO3kdXmOtCIe9WyyhoF2DA8cpBbdS/p+53vuWmK8GAy7cH uw3AeB46/vfyKxkGbKq8+NIaLE8wkB5TYMAnTtEnLcP4K/1oYD1ykgH3+IeE RoBPh2gMPTrDgBMtfa3lwRo630urNeD3ArxH/sH8afMpJWzXZsBf3EsnY8FX ej66meoz4KRX1qEGYJNUSd1MIwZs6OTIuhd80+aNNMWcAYczNl1ZgniwlRFk O2XNgE26ZW+2gu9SYoae3GHArBtrgt/A7kVc39tcGLD7oqt9NtjbJyhhjwcD 1s38fewdOEid5r6tDwPW5LK1eA9+yumu+zmIAQ+8e1xfCI5pmZOmfQr3p6vV awQnvLjNdj4arjfI2zoDTjUdGIp9CeN3L0d0J7Qvc7/x977XDFhH/gq/Jjhv ojXhUDoDziq48tgX/DXvwn23bPjcLPl0BbjErVK3LJ8Bj3X38nDB+FQqYxnO /xhwg92TWlNwPf1XtqulDLhAeFOuENxaLTucUsmA/epDt+2C8e8Oz/g+VceA eRbjZX3BYwLx9/26GHBfre8xK8jXs308er96GbAonWDaAHg5PVSGfxj6c2rQ 0BLml+HIo+EP8wyY/fpIsCfEA/va0vfVFQa8murlSYJ4IZU6JJ4lMOKxnn1p mWDh8+Z6v9kZ8S0ufrcJiLcTN8+WMe5nxPo8A5uvID7PHCxOvCTJiHffuBSs B/GrOavgHn+YEX9L85nloD5f8VBc9jBixBtmq7wBEP/Xz7xmf3iWEa+Pfz5y FtbHLRb+kcpzcL0DmrMMXhSyczTbK2MDRpwZw7AW7A31/TU/93QTRkyTf+/t BR+on/Zs6M1bMGJuXcd3JDgvPR52kVW+zYiTgz83/YTPw99PsT92ZMTFx574 yYNj71qONN9jxGZyJv0pcL3EY71lgp6M+D9BH27q835ZFY3u+cGMuO1Uth4X 3P/jE039rXBo7zvl15HQvsJLZbKasYz4Rpy+2C5w1Z/8kb8pjPhFNpv0CejP r5RD5RIZjDioePxXC/S3zfrtK5ccRuyYvzHqBB5YjNVn+8aIzz44m0WG8Uk+ JXf3TxkjPh3CXGcJvh5a//RDNSMO3dfnygsW6LTO8m5kxPzct97VwPh2iTL8 vNzBiG8iWbNAcJxD0uC+v4z4eDttnAZYv0iJdnmQERcttKiQwDzM7YLVE4yY mW/x2j/IX42XnZTi5xnxCRWBXwXgsFccBvarjFjnV0BoJFhrPN0Z0zDhr31s fs5g1qMqESRmJpz/Xj7BCFzl8/f9ACcTHte4XKoJDqh3ry7YzoTP6TxvUwaf 4ecdDhJgwn8kpUoVwYRbuXTX9jLh28xnb1BdnKslfEiCCZNCDyecBHtsDJ/Y kmHCZqd9zquDj2n4Xm08yoQPvmO7ZACmRAm6pigzYV42Jl87cH7v10iXs0w4 fWvPt0Cwk6TeBzUtJhyY9qz9LVjabaZm52UmPJIg864aPFH2ZGT8KhO+8tqT aR6cwSXGUGzKhIvnK38IwfhYXfu+J9ySCYs5SRVqg/elGSub2zPheYvij/7g JOWoe4weTNj8V9j6KtgkWDqqw4cJOxnvGT9OnZ+26pyMx0z47sk3gp7gWDua sQuxTDh17XkwNd51v8Yz7kmE8WHyNLoKJjEo7p1PZcIZatfepoHD4u2NYvOY cMqvs780IX78an7X/61jws4N51+9eUT9e/298dwWJsyhLWyyBd4yJzH7/WbC uS0nRq5CfBZlvxfV72PC57PuMX0Cu6+qnxIfZcJXJfL9qc+rKqoOGK9OM+Ht LnOS1OclFyMeuddSmHAhybiykvq81h/+2MQNGA9FfaG9sD4cDhR8dKBnxq3t YlfpwFIulxpOszHjC+K7X1PXy3jJxAQPiRnrCpeeVwXfMti7/6sQM3Yyei7x jPq8aWrx6Sf7mTEpa9DrJLhv+up140PMmFZNMmgM2m8cGB5Ho8SMzZ3u91Gf x+JvPvip+RQzPi1ZcZ4W3CFY2fhGHWzy4UUhjIduwQarpj4z/in0c1kOTKJ9 LiZgzIxDspl5F2H8fp2XV5m6wYzdpgUPfQVrDto8jHRkxspTo5c0waoP92ap uDFjfoYYdT7w6e3dXRRP6M8PJDwK86X8PorlnT8z/jZZ2lYEPn72vOK1EGbc cWfS6hlY4Q+DJcczZmyn/KzJFnzYpTia/JwZEwdCOTXAUhz3yh2TmLHCUjWv OFjijfT83jRmHHxTd4AFvP/kyJ629zA+sVfvTEH8iLQmaQflw/jYKX5oBQva XX10/D9mfJsn4AUZzM9Ayp4oZcaEwh1iWWDehOruxCpmfG0bm+ZLMOmIL9ul X8x4pbx+KQTMWad0nK6NGUemSIh6g9luLlh96mbGqFHt+z0w80ZWrGU/M84p +FLuAKaPvvlj5xgz/tTptdsWTDgkuFgzw4yzwgWKrcHr5W17PZeYcfqzoFiq l42e6shsMuMftzVe3AYvLKh599Gz4G2lTgV3wDMhhJwoNhbsE5j92wU8Ifq1 R5XEgolsKisPwSNFjhwrfCyYoVtwk5qvBnQlTmQKsWDjl60dz8C9E302xvtZ cFZazr3X1HrK7+VzrkMsOCAzpyoH3CGgW1Uqx4Lb2KO/loJb8tmX7h5nwV7K fUdbwLUDD3U71FhwmGJlxAa4ykPBN/gCC6a1dFPjgfEv55nOPaHHgq2YG5Ul wUUqplyvzVlw7LYzb66Dv3TzKV+2ZsF22SGT7uB850ZbBgcWfJJ39EAsOCv1 dLX1QxZ85+0PmSZw+om15V1+LHhCX7llBpza8lGsPhjaw1KymwjxlWRrq+8V wYJp6HtWpMHx9Pv8D8fB94NO6GmD4+L/fBxIZMHFScLBKuAo+Zi+mDcs2Knm v/1S4PDaC9waWSyYnZmJdyc41IIJr+WxYAvtq4YM4OB1sv37ryzY7NG9xTm4 f0CUW8L1Eha8W+D5yD+wj6RsLXclCy7ktJOnttezfHS1rI4FX0KCnWVgd6Pk A64tLHhB0KCtAOy6YGgg/huuv+vcwUywU8i2wK5/LDhmI6ctCWwvWvspZIQF q8g1tlHHw6bIb0B5mgXz0vsfCAff0j25bXaRBQfnKdU+BptPLJ5KWWfBb4M2 //MDm/hlO+jRseL5BudFL7ChgOUrJlZW7F807EzNl/r5QvVfiayYcERV4SFY R6tj/fYOVuwSL36E6gsD4QcFBVmxuHuLLfX7tQcHWoxEWXGF3Gwq9Xrn7h71 fCnBim1HLAd8wdWFwWJdMqxY+mDO/iCwOm1PA99RViwhzGEZCv6hIet+5SQr 1mx/mkRd32cj/PbGnGHFBS931r+gxktHe22LBivWVzQZSwafFj7ouk2bFXPK Dk1Tx6fE0lNIR58V28wSOz+B0YfGqnAj8AxvUgm4mCLq9MucFSf8ZEO14BPK brs4rVkxUav3Qwe40L+mXOsOK27ztJgYBCvWCdo/cWHFri81pubBR4wqSph9 WPErdjtxEsx3fgqfjVoQK1Yn+V8WAR8ev70tIIwVj2/7dEAOLOVOukX3khW/ s91RpA8Wj7vOtvmRFQv+ZitIBb/9m5d/ohDG2yDzHjU/7hNjNHlQword1+Sy 6sEiBVk5y7Ws2NSd+dIqWKBlRW9+kBUPR3z7pgf59sWu81uyE6z4T9aoph14 542kdIc5ViznmUb0B/POqa5NbkL/Ot+IfwJHHXuRKsnAhm8mXLGtA2/znjx/ m40NUyYe1QyCicSopJEdbHjvX2MyL+T7sCvDGmKCbDjvdPFZaTDHq+PzN0XZ cHXnRLUaOGQoND5Vgg2nfu5UM6U+Hy3172y/DBvucvb+5EZ9PtxFfnrPUTa8 yiI/5AVm/BYYZ3qSDR8UXSh+BPaj/33q1Rk2zNN04JcnmE5LavyPBhsm4Fg+ qn2eeUcJaLPhwzc646nPYxN+t5y8ps+G722zNqbaU0R8+LkRG17bHX+N6nXr B+Ed5mzYXedtHNXuufXHdliz4dnHL7ZTr7eyvKdf7w4bfpV2u5lqN+wSEuXC hlufTTZR20MJrDrS/ADaI9vGQ33+3fnXrr/cPmxY81zxcx/wPO+dIO0gNrzH W8TcD+xk8l32aRjcX8zCPgA882b777ooNjxyoLo4CGw/aeXH/pING/Z4X34C npQvOnTuNRtm+fNKkvq8va0HV/vjNDZcUCOsGQEeKzP3qnoP/d0/lhkFForo sAnLZ8Nzt8ZT4qjPt5tc0NP9jw0XzmeMU58/L14+JtFbxYbHyqys3lLbV/GB 5+0vNpyoIxqfSX2e+tm+rdtt4O/8u3PBkYe4W5b6wSL8dNT3ASpXA4q/jbFh pjG+W2XU8atcT/edZcP+W4hUTa33zUcecm2xYUtEc6oDrBRLFhPjZ8cPiPUN S2AHiyOkSWF2vBAipk+AeuKtbOZ6nhg7NtqVzccCJtbGNCofYcdlPevnd4EH CPYP9LXZ8UGKx5nT4BAbgV/+AexYZ+Lgwzhw6dHIr+dC2fHRv9U9KWAKPXMq dxQ77h8IMvwANn0175bwmh2bunLH/ABH21rfuJHOjuN6Xmg3Ud+HOfb3/IEP 7DhJvZS/ByzfUi3yqYgdm/xcaloEW7/GHA/K2HGY8P3/aKjnC/uCJVzNjsc3 76dzgJuVJPsYG9kxh11YOfX9IWaW5NradnZcLXjdfR1+f7Jtx+fIHna8v5/V dBrslBL62mCQHW+L/s+jD/zn5H3XgTl2fGCGdO8nmMQ2bZqxwo5PVZ43/wZW 77A450DgwFcvFbzKpb7f4aQtvM7BgXcqPpd4CR5GP1i/83Dga8rufuFgAY4T i4G7OHCDl75GADggTax62wEOXFQud/Au+D/nhPxOaQ6sfc7xsg145tS2V68U OPBx/r0bZuB9XI8f3zzJgbttgw8Zgg27N+8eVOHAqnJlozrgp++cTWY1ObDo epmCFrjcdUz98yUOLNRhvFMVvHLGVO6hAQd+qnAiBoOluNt2n7nOgW/9N5Cr BB4KHfKJvsmBdbSE8o+CE1iXhodvc+DX22fU5MG6gUznjztx4B9XMxxkwez0 fHkhbhy4nOAnK029n5f4jr+eHNj0RnToIfCDDUUPWX8OnMHdGSgJPuyu8c/3 CQc+HH1wL9VjlKuqbREc2EjqnDnVyXdtMsXjOLB7aLsa9fdXZ9yJDxI5MCHw UpsUNf7snrjUpXJg3jJ+IvX+VaMvu4QyOXCXlcuSHPX9rVtZyCmXAz8o9w2j tl+hvyi1/DMHbhlRa6f2b+p6HcuOYg5srZXSTO3/m+4/9tblHNjATN+fOj5G V6ea/6vmwGnihCnq+PG0bSpyNnLg/0p2c+mCa3S4Ek3bOfDqFMvYNbDPLyG6 j384sF7q+iML8HEtGSuGAQ4s95C1yQ48W4Xrroxx4B0nRP/do8b7d7PYdQoH dpsLPBYG5kNO6xc2OPBHxTXfF+Bf//mYvabjxFktNaFpYOVPKQdViZxYvUC2 t4y6fmTzw+N4OXGeVKE49X2M99nli2MCnFiXzV+mnxpf6YPkpwc4sbAzgwf1 fbEWUYponzQnZkw2L95BfR/wNWOwvAInNlm8+E0CvPpCTLfzNCf+16Y6oUM9 n+xQ/HpQgxPrX47aaUV9/ytKXdDzIieO3ru88RDcEWo9ImLEiW+W+wxkgsNZ 3c+7mHPizFH7vjKwWmBwXqUVJ05olbzfDN6ke7mD/w4nbkvrftUCLvDK9LB1 gfZMSV5vA9tt/Pev+AEnDnrzt6gDLOpeq8rtw4l5OqOLf4O7Kd2ZN4I48amG euu/4Gd3J4kFYZw4VXG4rB+sObPhwhzNiW+p8zWNgGntOH8bvuTEYl2uz6fA X0cF8fvXnFjJZ05wkfp+3C3pN1tpnJg2QddyHSzej1h1sjmxhz66Rw/nr7/X te+k5nPi0gzJyxzgmG7TFkohtO+63RYv+MJVx2MapZzYjiLmRX2/jLHNO/Fl JSeWirvSKQn+phNJN1XHifctV3NS31dz/pVshVvgfrJ7RVWp7ydrfayL7OLE ms+bBHTBA1Vlhwd7OfHH8F3r5uCXZ1tijw7D/J/lqnDyoT7/smjWPc+Je7cr C0WD3U6JMxescuLEjxoX3oGHzlzLfkrDhYc6J14Wg7+rl66e5uLCh3f+jp8A y5xbSBLg5cIyGRd0GXwhP54XU6MIcOH7594eFgK764Q+eyfBhfdE5FrpU99n 1i055ivLhYN39ZTeBetfmf9rpMiFl9J+q0SCDxtdlSSqcuHQM7KVTeDxm/sq XM24cEzyk1dmfpCPrAxua1tx4aztnJJB4CqbJ9wSd6B9wkmtH8Cpd2aN/3hw 4d/XNBxp/WG93f9GORPHhXlyB9TzwbUheuLcv7hwmfXrHJVAWE9Pg+rHWrmw xgV1FXdwesR/zuXdXNhCTcIjB8wbNcWf2M+FBbSfnBsG+8XsKb03xoXVH6+l CgZRyHNxupaXZuF6fTru+mDTl4EcB5e5cHF2VlEYuD6h8CP9Fhf+LHTDqBIs 2ECRnKYlYmeOXK8ysN4lIsGIkYgZLRs68sEhTQeaq1iI+GXg/OM34NUWo/vJ RCJuKzU46A9u6/xeoSdIxHNYoVMZzHGtO+77HiIuFbazlASrdC/elt5HxF8v Kn/eCc7rESexSBLxTukbv+ah/WH9YSZFx4iY9oLb2TRwhUW67IGTRFxh80Il Crw+WEofg4n4T7SKtTfYZmQh444aEacFPr5kBFabNFwS0SNiO9rrTdvBiTy+ zY8MiPipvaQXA3hBKfND9zUi5tcISlkMgPNT8JpljDkR8/Adtm0HU3L3qszf JOIsCtuen+DzneeEta2JOEbxkc1/4FWx+A4WByI2fzrd8hqsfbE8/9ZdIlb8 60gTA37rOhFe5krErPuDO4PB6wk8dsLuROww423mBb5ccULj4UMYP9qteFdw xoTFvi4vIvaZWQuzAxN4QmmO+hHx0ciSYzfB+kqf/jwLJGJVva5EY3CW+Z+v M8HQP2sesj6YNpgh5nwYEQv/vPNCG2yQe8gpI4KIvQR2yZwDZ3foXWCKJmLx ezaeqmAGgqeERRwRu0zX+5wGG4m9ZSx9ScQKXPXHEDjvQn3f7ldErLJ7JfEE mNmVUuyeTMQmaCDrONgkQfBl+xvoz93dxsfA+eWq9+TfwfiY7k1XBLNO2F+O yCJizs1r/lSbbouVnvpAxD+IbONUfz5OZjv3kYivearXU3/PaT48nFYA8+NM EVECWzzmKqcvJOKym59/U+9fmHM0yewbEed39I8qg4kd1z2KS4j4M5vXyVPg W1uBBrvKifiCjWzFGXDR/hx5t0oiJrTK2VP7S7rQQWytJuLdhRdENcDWLoRJ 2XpoT9oHjS1YbyXx4j/DGom4nEPkoRqYt1z7zXgLEZ9xGyCGwnr9Tnpt/OY3 ER9PDJKk/v8Q+I7/PEb7F9aHYo6QNuQXe7PZ7df7iLjl8isN6vvAu3JO1fON wnzmDgvSUf89+XyfcggFrl/332If9bzozLprdIWIs+/blu4EC8cfXjq7Adfv 13hM/ffAujGfD1t03Jgtey+l+D6FvD9or/Bdbm7sb1fy9o0r7D/fLWgMJblx aMAf9ToHan3Uxf9Qmhuz+vO+kQAzlV6UTzrMjWn+ye16cgf2f/JxyyFFbjy2 s5de3x7yt3KOF8sJbvzEtLe+xI5Cvvlt3wtJxI2z5MOvS4Oj/iPWOZ3lxgs2 j935bCHejgcMRatz46ambL1ntynksq9rW1/OceP5KpHnJPDc56HDW5e4cfAj +VlBGwqZ5aiRlogeN/5PMuhiljX0r6Dx5lkDbmz848E7ZfDF/KK4Jybc2FR0 vt3JCuZP7nBethk31ts0meQBe+al1TRacGP6VUGvIkuoh2V3Dy5YcuO1ynvv rcFZOZGbO25z4/U9FyIEwOXSzHxK9tzYfj+faustCvl39kNZE0dunOxTP/AM PHdoXtPbmRun3P7jZwBmfW9lkXqPGwve3H5iL1hEsudhpTv0p/Wl4MJNCvlY 5uXYsYfc2M3mt3INWFviZw6HNzfOPeP8Ph1s9U65WsaPG1vNH7wfAvYSz++/ HMiNV1X+ZLuCY9MObLgGc+OGRsurluDs/a94X4RyY3HzV94m4B9veGS+hXNj Mp+SlBG4RzRYo/cZN3a3Kb9hCl5M2TKni+XG9X/9RW+D2fe6eOx/wY0vpl10 NgSLJo9FayRw45YyhoFsCzjv7zH9YJvEjbM13h9mAl9Oaq16msKNz/BKv7px A+qzxJK11nfc+PN9zpoD5tT3bRW2r2Rx46m1rwxRZhRybnymlEAON+bcKtKl A/e+iDEzL+DGDNWSQnPXKeTlnewP/L9y42LZK0QnMNdz76j0Im780FyeZtkE 6rNY28qp73B9xadlvGB93r5e7h/ceNe343Q5xlDfRF9Zlf/JjX96NAtqg/14 6rYZ1MJ8MjzVXDKikOOfnT704Bc3jrcx/voGnE/6oprYxI13s3TEXwPXRBwy LW3lxm2SMvt2gvuIKfcHOiA+/Xd791yDfPyU7xlTNzdOcKv9kwkmcYVlSfzl xh0qtbe8wQfC6H6c74P1wbhx9joYc9z/6zAI4/3kYcpZsEHI1PKzEW58geX5 G3nwHTYL0udxcEq+gyQ4ILjzYNcUN9ZqOCF2CJzIcvHsxizEZ1zkqAL4U1C5 ifAiN07MWG7VAKdr1vAFLnPj8qWIVivwC/ampsk1blwtndsdCQ6t7wjR3YL1 5NTBXAX2Cv+r+h8tCQeYHnJmhv7d1RkiiDCS8K2Ua0d0wbd4JguDWEj4xOl7 1zPBV9vmnafZSVimoIeGE8ZTK25VSp9IwmFVAuIeYGRIM1q0jYTjjlZ3LoIP CzCn7N1BwjYid/gfwPyI9nAaB/OT8OmTFqNsMJ87krbvmN1Nwm2/Pp5KB7Oa CzRe2UPC+MHqTm1T2L/27n1SLErCtjVqFtT46EuT2XpykIS1OD5tPYF4arU+ +nVOCn7fxbPbDOKt6qDy3auHSbjoU6HKKYjH9x/ODe8/RsKr4urbRGC9JTnq vA49QcI5hXTGIrB+I+WuXltAJEyxvk2RhPXv9vnWr1JVEtYkyAmbQj65fd/u sbgmCbfMde8LgnxjouR85ul5aP8X35tfIT+dIXt/NtIl4ciQvmMK1HznHeRY doWEDXJFSd6QD8XPPD0ocY2ELzDJZTY7Qn5miBkMNyHhHgn5mEN3Yf+pjH+1 ZEbChXY2xmHOFDLN45SrJjdJWKWT6LdIfR9YM2NbhRUJTw16rseCh9hz6w7a QvtSGzId4fud9Z8DI++QMOsee1MNuF5tePGpFScY76KnL4WcKORinYq1665w vRShngXq32/bmu4cekjC4sPiDxIhH8fGdR6I8iJhvqMSrXch/wYb9vav+sL3 tz08ogn9u9MzeaUqmIQHCpIJ65A/jw8x4xtxJKxQq6HjDfngUDrX6s+X0N9r X51tYbyFbXjzZV7B72tnHY1gPhim9opvviFh/h0N9Vowf8sfJPos3pGw2w6P bRdgfsccZeNrskg4Hteu68H8NywqE59/JGHa/Rl3H0D8lH0+W71VQML2GTfb n0P8FdzX8rtVSMIvvKaelED8vty4uixXCv2x+fJA3BDqN7Jp3otyEna2Fn9g cxXi29vSlqYK/OPp5QIDiGcGl976ehJW9xRfs71CIfML/Wxfa4Tro1Nr//Sh HlXc/Uu8Fb6ft+ObKdhHx/GHXgcJd7Wz+YzqwfzaVnzz+U3CIoW8jz3AY/47 P33oIWGBXZ85+cGJr+yyuv9BPG390fquSyHrfC1NYRmE8RH47e4CZmze/lJh BNaTgEadHLhwwjryxjgJE2pWXDYuw37OWPw/js48HqqvDeCKJCEyZsy+UEkS kkrbkySVkGhfbElZQoUkyVqWoiIkS/GzS1KEjKWQrZIipERZQhJjTe9z3z+/ n5k595xnP3fuee71sKHF4E359rARmcdZfPXF78UQOTrP9wnyx/U27v2jiyFb znpjAnLQvsKzlAmcT0DnWBTyZgepU7rTKD/amsb7yCMBlsedZxdD3vPG4Wzk 5IRnZnFzZMHE76NDHfLBQvE9tSKycLD2l4UAWaLpuO7EfFkw7tr9TQXnVzqY u2HJQlmQrvMWckI+P3/+ahMpWfgvw62Gj6zEPaJ8RUYWGlkHdjFw/e3aj7iZ JFkQPewQ4I8cZipM/USRhW4m7eo0sq7jAWlRuizoeRSs80L5TgRmzF/NkgVT i2spkqiPzMR/sye4sqAvFlWRhmxetE8QoigL6bJZXiaoP9KHlMHny2ThRtjK yvmo3+qh6e4fyrIQ+VTM9zWyp5hxu6yqLOg6xkffRXtQ4yW9B3VZOJqR2eeM 9tK9YaLGQVMWJn62SjWgPUWZGZTHrMXfb5cp7MP4ZHA24XmVtixw9iv9J4r2 mvdAP5W7FedHLudtRXv3WxDt/2GPLPA++ds+RH9ZpzDoOXevLMz4z1Q+Qf8f 2Lj1/CpTXK+0lxMf/d3Uqc/y+mH8fcFA9yvi/H7zeth0CuXV7f7D8zLWU8Oh a8+ckQXDd6upZsT9X/FvqncdZCFsVa+nAtZzo5uCmL/PyUJrZvC9BKwHUw90 kFhushDzPVzXkKifnTUkdnvIgkSX8PQv3F+8TGqdSvLG8dQKHkoGYzwrUR15 5ysLh5/OZF4Lwf1vi0/fbIAsaKwZ/j0WivXWwhUtB0NlYaCVH50cJuDrL7ny xj9MFkb0z0NPOMbfze8rc2+jPewtTafeFvCtXC49lYiRBSG9sNtGEegPGh1P l9+XBa/9/lF7IjF+j8AzvQS8/mLtwQ13BfzPjx8+s3qI6x2/c5wWJeDnOIvm e/8nCz9+ePJ7kX3VT+ffT5MFtUU/e/+Lxvz9uza/MFMWNB9PPzeNwfz5WLWg +ZEs1GT9pYwgzziFF4zmysK1Ju8hr3sC/hu10QKZZ7Iw1Wu5ahr5wfD+56rP 8fsmbY02sQK+a87z57uLZaHBzr+5DHmnE6PQli8Lz06e1pG4L+Az1K4U+pfL gk6eMFsPefhXZ+GDV7LgOLXrylnkike6Rfxq1LdN3qVryJFnU4raa1F+F7RW hyOfXiVePNkgCwLSrtrryBt/2ReTG2XBmtR/1gVZ+tGb4tUfcD3NYft2I3c5 arwwbkF5bNd8REJ+phrxwqFNFtr7t5Q34PyChsZfBHXIQpxaaONF5GPZh0tS OmXhTP4hFTKymuOLkpfduN5nG3hJuF5hVQ6/s0cWjp8gSSoifxz04c/2o75W ChlEorzSsr7z6UOyELBsu+40ytfTQb903W/0r6nNFvuQjVZmlJqN4vjf9Enx qA/eoGSZyzjq1yK5qQP1J8h0Krs5JQubk63Yssiv7d+XZf5FfaXruG1Efceq aJW/FiLB0oQK/Ulkp4Go8h/CJNBmPJAi5L8tc7pceD4JclsT7j5NxP2N/fEK jjgJBszf//z+n4Dft6KsYpMkCcwr1i0Zy8D900+Fl4elSRDZKuzUmSPgW9r1 vbxDJoFPutaOXYUC/poVBq8eU0lQnmh7vaIE94c/s181MEjwskx6p2yFgP/o zPlKMQUSHDe8661Wi/FbublyyVISCALydk43oH31r6/SWU6CMG2l1Xcbif83 /lV5rsLxK5N+bPqE9rTcsjpaA78vH/RQrx3tqe9l9bM1JDh6otKG8QXtKW3Z 6/frSJCwwvVYSSfa0+mg18MbSDAzL/L1im60p+WDryW3kGAkgDrX+gfaU69R jbIOrjdz1sWmF+0pNbdmx3YSSJw8dl+jH+3JVq7WWp8EsPYcpfon2pOSe+3V 3SQQn58RsnSQOC/TWhtniPLtSHixZ4jo77SprmgvCb5lc703/cJ66FRCXYsp CTxEl/HHkJ8uE64fO4DyuN/g4Tos4F/rOVm/+AgJlPh7qvnIR1Oq61cdJ0Gp y9d375BXnVqBeZkExSfzPmYid5xmn82yJgH5nPE3PeQQe1lpKVsSnJ98QEnE 8bXPzn/saEcC24kFtGKcT5/z9N43jiQwLVJOi8L5Rp3/NbLKhQTZiY8S1g4I +HpuXbfDLpBg6OrseDSud/Ris+ZvdxJY3uopK0V5PPSs/bDXkwRaDQYqWSgv kyt819wrJKh5UXbFHOUp5POEIutLgqkYBXY7yjvbL6XgXADqr3h5IPcL8XzF vUNN10lwY8vQHg3Ul0TQzSnNUBLkdDjypFGfhSG+9yLCSHC6f15d8QesN2/Z fd5/lwQN+PUgtIfKOye88mNIoKJrOpJdg/nt7j62fBwJxsY+hKRXCvjvYjdY fEoiwabvnnqr0N6CUxZ+P5JLgrnLrZseo71qp//zL35KAl/fFR/eoD33Zv5Z ynxOgsmOb34taO/bc9tsO/gkONy3iPwU/Wc0782CLRUkOLFlZcaNW2hf+RXp 8ZUkyHribXoc47FxYf5uoRoSpP9nJ7bsmoD/rzhjwLyeBDsfwb2t/rh+fnxo 2VsSXI2x+HoDv3+0/LYqr4kERd1zNuRgPH5edcmpq5UEvZMq7y2Scb9Yc1ZG twP9hbzw1c9M9L96q9ykThI82g9rNuVhvd+4e/RkLwk009QerSgnntfYElH5 E/21vTmjohrrsebVWst+kaBEO1mC+gbrvc90994xlM/6k5F/WjHff1lE3TlJ ArFbu4fPf8X49U24MG2GBGp9fxdlfhfwe3p+Tp8RlgNbdvqTNWg/kf1fYmtF 5WC767UH/n+wHhh8v0lFXA5mpn1VAsaJfhpVHSGSckDOsj2lNS3gJ44UXRmU lgMxZfGbEbMon7FHHEOSHLQp/BYhzm/Njj8sy6bIAXjNNT4uMs7PnLpruYgu BxxtDqNKdJx/5G+wsBNLDqY2vVz/WWycLy7knfSWKwfvKRH3ifPYBXPPb1df IgdB1aMnZCTGsT60/RGuJAdr868Xr5Ic58uJHQ0cWSEHQ5/LZGaQX4obK+1b JQeuxsZfXaXG+S6Suq+faMhB3orkmgRkjvS6MyQtOQiTMb/jgfxmscrCC+vl QET3BXce8mYHh757G+XAwyr/jzGOl12VXVW+RQ6MT3jePoTXZ/GGk/t05EBa LEaEs3Ccf8NT3U9aTw5uqAZYJC/A9X50sVy7Uw66ji9p658/zndQz4PjBjj+ ecOC3/PG+e3BYyx/IzmYZO42KxIe5xv80PqbYSIHu0+bKexEeRWDe1ujmRy8 MF2cGovyVLn3/PnkQTlQjVhwOR/lvdB4o+uOE3LwwWfo884xAd8j/bKpo6Uc mJvbTr/8jfWuCF8j4qQcbM6QCZZC/695vvXXNzs56F3Z3EVC/9Um+dYvOCsH L/WnKz+gv6Y7vsxQc5GDlVwlI4fPAv51hR22Xu5yMBEkobS8Ceu/y9f0ki/J QXZk13wTtC/blteKdV5yMLy9KO0w+qN+qEEn1V8ObA4qt5FKBfyCnlA+XEP7 WRJ8uBbzwTKdN/dPBaP8HJQ97J6ifcVKe964IQebAj/UjD/Cent87+Gn4XKg Zyn/wyUd4/fe2+va78jBUckbDl+ScD+V0UQWjsLvS6iJQzzmB1Hy2PJ7eD2x dbYNcQL+K/MD743j5MDuYy/EPxTwNYuiHrslysFvNbfFJ1NxPyXXejMuSQ4+ ntr8m5mF9WHNUYOBdDnw76jcYfFMwNfRtHwVmC8HnxMC/05VCfi5Nx4+zC6U gw3uq/KW1KG/9XVf/fBCDhgNFcw1b3H/F3dqs8JLOdh61slruhnz6UQqY1eV HHgZBOs/ahPwv5r0TznVyMErETP7rRj/Suc75Je8lQNrwwNtU+hvapbZEd/f 4/qeSRqz+3C/W/zrnESzHHwNWerCwHgsTVE3Wd0qB+Xvdo4Oo/6uOLuoHf4s B0nCzyPuoX6Hap9IXf0qB3KsVB59FPe7S8cGUrrkoD4h4ryjAPdH3lq1DT/Q HmISXe5M4H6jzS1trA/ll9QlEzKF8WnN80DGoBzMqeCbmc4I+MywqZPbhuVA eIm28cBfzCf9G3TP/JGDk4928vb9w/yre5kXLpADI73lM4FC43z7+BKhgkk5 yH2fwgxCe22f/NfRMYP+N+T68eBctGfTrS/mCZEhTck94A9yUbbPPRVhMsR2 iMUdQnsXNTCj3RUlQ8i/1wYhyHv7lkXPEcfP33+X9UaODZii2EuS4disi7cm co9CfeRHaTKsHu1am4bjaZTFy20lkSFb0n7iM17/8nGXOxkUMqhWW0Q34vyq p3VlyXQy3ODELQzE+ctGU255s8hgPt5yaBrXd1yrX/onlwzFR+emrcL1p70v vmm2hAwmJVHrFFE+o043pUqVyBD1ftryE8a7LVKWocoqZBjeXHzfCP0tKENT ImIVGc6/6rkYOCLgf9CfH/xPgwyXpU2SrmL8tPPNvNa0ngwzV9IViPz5jHNl /pZNZFhSc/GEKOp/TsnegDTA9UyV5S9G/7s7IfD12kGGnLUvqn1asF6IeD23 bxcZ7E9KGfe9x3i+OvbqPkMySLfZh9PR/yoctl5RMiND9YYGxf6XAr7UQtLs rYP4+6UZGkF8Af9Q6g/Pv0fIcGvjFZe/z9H+tz+fPnWCDI23dCX1MJ/8+hbs 0WhJhmll+i6bbIwH3scnN9qQwaJ73w1z9Bd/prp7ymkySJHElv1Df3lbKDwu 40CGS/Yn1izF39MPfrzg6USGoAz1oo3o3zZjqaM/zuH1vr9asQX9//GtS+f2 upEhQfzEfGXMzzvqOc5Lvcigo2ewM+OdgH/rzJ9fYVdRHhkBM9roP5/nVzpO +5Hhb4RQPtG/5JyOnf3bYDKMP89M/ofxquTLpp/aN8ngWfeQ34v114LL0meS b6G8r93KTsD6Jz7/6SmPaDIcKep/5zyJ8c/02o/uWDJo3G5L8Ud9rxk5fNIo gQz1e/h3j6G91KoIWSmmkOG1SK6qMeYbck1j5410MtyUe7vXBuO5xalk88ks Mnh8Tbm2FvNBpoj7F6vHZHilva+9THqcP56463hDHhna7PZdEJYd5+tsYX5e V0CGuwd3xE6Rxvmh7b+OPCwig7xIdGEyeZzfcrG8VZJPBocjvCPC8uN8BUrE IfdyMrANXisvpo7zHfNOtXx7RQZvtuzkW+Tne7UP7HlNhj3MRwWbaeN8kV8S H/PryNDvNHHlMLJRyBdT3lsy+Ow7e10BOWZ57vuQ92Qw8FyuGY2//17pZzL+ kQynWtaLFOH11KwPvLNoJYPIzUUPr1HG+ZfmKBvXfcbxTOu+zMH5/dBd2LK0 kwz/CoaYajh/42sDJ652I6v5kCUXj/MLa+t72nrIwHnXJRq9aJyvuOjRWa2f qO+L1sZNmA9vmISNhw2hvcQ7ufMx/01EOF/5+ZsMhhdylI5gfq9jaN5MmEB5 xPC8UjCfaZnLUaan0X9sA1UOo78lPBTEmf1D/7cLu1CG/nVB+Xm2uCgFdCwT PZ6gvr86xGidXECBBwJxq61oD7seXyrhS1DgsEfm5iCsZ1jrNjecl6XA5vTS p6aYr65dYu9/Q6bAcEv9/dZ6rFdKhDqW0yjwjfdFRhHje9X2isEODgU0KxyL F6J/aFxPurBekQJxZ9ccevQY90t1/n9vL6PA0vzhPVzMR6LSp/yHlCmgGGL7 0PoBxvt9+pI7VSmwsWzW1xP3b62RyyMeqlOgP2nHBnusF3VbxZmzmhSo65BI +3wT4y1zIOngOgqoXZZnqeDnVIt6lScbKEB6ri3hfAfzUVJ2nuQWCni6NYhn 4P5sqOfmRlsdnN/I7qIW3O+VO5oYMHdS4GDqx4EFuB9VyV3d5GZAgcWvO3+I Yz6MHCMdbTSigHWhj/9UAsYfz2a7wP0U6E1ZpJCI+fMjv+BP5yEcf2xq0gzr XxCOubTxGAV8bIWWjqUI+KSgo8G/rSiA+9rnQ7her/pNsganKOButNNiB9aj vdLse/+doUCB/rv2AIwHJqZCCnMc8XrXaY6ZGD9e3O1MP+JMgSF/L+t8zOdK beUaz85ToJGqy0zB/eEtVlKhtDux3ufCl1C+Mxb+OnaXKJCquztcIxfjR7JN zSsvCqjG3t5Tj/y2d4cJx4cCASJnGnY9wfiksrzVw58CLu4/89OfEP+Pi1t+ uEaBmtkrxQPIi5787FsVguuhtcdKY3zyENQ5B93E+TnOLiMjd6/Pnuy+RYGJ zOUb/uL3DS/fvLolkgKifa1lr5ALSp0WxERTIPtk8dOzyDwRk/DRWBx/9A5r GucTsmM11SiBAgJhzcW2yIIgUmLaQwpM2R3Oe4brsWgYUxJJoUAULUGrB9db J9Occzwd7SNnf8skykPLrGDd8ywKRC4//WMI5ZUQFV0q+xjtI31dUSXKU7zd Q98xjwLrAlxLrqK8tdzSJG/mozxJiyXW4/7FYnFL46NCCiTI/5FrScP56q85 9ruUAk4bezWI/Ux3lxVv8Uu072PjO5RwP7Hoyq0ejSoKkN9NMuywHrJ5+sv5 fD0FwhqPOeWgvdwyZq2NeEuBWcab9XloTy9+Gsw8fY/2oih0iLhfQeKlB4x/ wvELTEINcD9UdsP6nscPCug92aT3HvczA8tvm9/rw+vFHp80Chbw5V+VLSke QPkeS3zOx/2Q4zQr5+8IBaq/S+/y9BXwYyL3XGAJKCB1ZTu71hvrNXVP7S2T FDBm6iyU8cL9d136vxMzFCjtsuAYXcL9ue2nl97/KHCcOeYa4I71pbBYUOJc edBqnG+X5Yb5IU7LqHwe8lhH1Vo34rzMSVKXmDyIqbRUV7livdt0+5OwhDwY 1Gt7HkMWnC2PU1wkD4tN1w5NXBDwuQt/W21fLA8hswKlmAvE8yKGQwHy8lBe FkMh+k8mtXs+SaHLQ0O1xscE5DduGe7VLHn4liJz7hDy1OLWTX1ceaiLl/tF QV6aLSYsvkQeHI+d3tl+TsDfu3NttbKSPNhbhF35D9mz+2To7hXyYDP3XKgr cuqVOyb2qvLgKn7GwQD5Pa2CEqouD/3jO+WVkGef/m7P0sTrfXHwX4CsvJfz oGGtPARMl6UPuwj4ZgOGp35pywOjo97zM7J34GUV6c34+ZGSoTfImbzM32pb 5UGbfXakCrn5ReuzvbryYDl1zv0V8txDCzxddshDdw/XqRpZdXTt1tu75CGu 4W7VW+TDN21E8/bIQ9S/SrsOZH/liNomY3nwcr+k/xs551VF2Ng+eZjtsdIn 5tduPmJGPiAPqZeoZkuRxWY49LWH5eGM67ID+sir7xp9PXBMHtIjFmudRT6u 4ZXsbo7z0zVviUEOqs88E20lD7aJ9xVqkZ/Ztq0qtJGH/UdsZv4hdwqLj7We lgcRSzu99SjvddqnrjCckH2uFBQgW32I0N10Th6ahCIeziLfcHq54LirPLTP EwrQR/1+/497J95THmaOzGT1EP1W/Tonhb3l4bD9gKgu2seIZeIJW195OHiS aZuELMTmrlAPkodi2q8QJ7Qv2l1OefldeYhZYaaufhHt58LXZcvu4ffnmSSl IivtSwgNjpMHc+m9sTwPrDcWcQ6ZJqP9FdXtYqI9Gweyh7/nymP9uPr1sssC /oGTX8x2PZMH3orxsCzk49vii7Kfy8MuvasqmugP1twTXNkX8qA7T8uqCNnu HyvQrVQego6KzegQz99+7hhoq5AHj8SrL4jnVd2L4kygCu35/GsH4vnGK9HH C5Jq5EHpWVbjJ+L5STcWa0GDPLhId3KeIIeadfg6vEN9H/amW+Hv76yO63vX JA8DN3pH6Xi9xF/MpzFt+Pu/kr/ScP7Fp5gGKn0ojz5h+a0oj4rtnx+HDciD fF+PmQ7hbwr3KWO/5OHtKi9pI5Rv8xdG1wuBPBSaWtQGo/46XrTr86bk4Uba pEIx2k/3vdjsgL+4/nvc9AlnlP8BhoeRCBVsz57KjnQS8CfXtH95Mp8KKhfn 7p84SzzvErtdfiEVGlLsvWyQRUeOZHhKUUE5+ZNqp6OAL/mWLtMpQ4UmsvFp W2RSdpvrdjkq2GfWKs84oP5C7rWnyePvhU7YxSJzzxzRkWJQ4aOxGWsnspI+ PdWFTQVDEVONucirlrZJNvOokLrAM7zKHuOxyL1zG5ZSIW9uMDcaeeO3w5/i l1Phx9aZClfi/8VS2haRlVTg3F2+3xx5V1xrkq0aFTR/2j02Qzb2jBGvX02F a6kbMvYjHzh82El9LRVyfhvLWSEfX0f7GKFNBZ8HFS88kE+SWzdMbaLCGeaK s/eR7UejE49vpUJB54vhGmSXxkPzK3SpUPfTSVQY53sxh+qwTJ8K5z+TnbcT 55VvfGoM3k0FwYDXUDhygH30umFDKujcu72+Fzl016E4UxOU76qL4voorztK VJHnZlQwGcsgP0Y+enxpStdBlJfSiBb9LNHPePUuqaNUIF/81hGCnPdvT5iV JRU2yuYV+qO+PNccWX3jJBUKt41YS6A+de1sPxbYUiHI7oVvNHLTRx+G1Fmc z7YD00T8iZUI469zoYLei7l8a7QPa537llYXqCDuwKgnzvOPZuWnFlyiQnmE dfgJtCdZ/wFNq2u43ljmnC1Ev+nCyebQYCrcWnj+1D934v8E0UsFN6hg3XP/ Vjn645mlJFZXOBWGV+erXvMgnsfjlklGUOGQqlUPkV+mwlWt10Wh/sc/nyKe rymv2jDf6h4VTlzjRvKQg/7qp4fGUWFv0AMZ4nyTyer9ewoSqaBeERRFJc5D nbYa/paE8ysJ1o/D8b/FOd2WTKVCV8u/DcuJ83xNl7XWZVCBn/nveiHOx0U8 +JNlNhUmDNz0TJC1Icoz9DGuR2eDzzDOf65rMrsgjwrBZszdEcR574zc8m/5 VHhCm5MJyLc6+Scli6hANxzOHEH/O0ypF1tXQoWZEdV9xPlX3p7WDMsylN9m o8QzyP0+PYahL6ngrL/9rhpybsHo7/wqKpwM8dD4i/7qMTQn4lsNFWxWdDq8 RdZRXLROsoEKNX9FddKRxQ8z2ta+o0KbvVJyEHLjzeVelk1UeEPeFuxM9ON+ pcUNbabC2U1KP44jW05ve5nfivL5dyPZBFlZfe+pb5+poHVkab4BEV9tjotL dlIhUChFdA9yYaxd1tpuKvj1dl8m+nv7NLobW/ZQ4UjxVxFz5F1iAX9C+qlw dP6nqy7IMptvR+YPUkFI88gnYj4t5xLWfxumQqiZ6VAqckJaVrvEKBXulHAf 1CHbfim8snacCtOWiU1jyGpy1TzLKSoUzdexJvqPT+z68CrkLxXEtsiqHkQu 9f5mmy9Eg2n1D5LhyMYDM9kS82lAWzfjJoPyl+eJm6wVp8HJb1+eHET+eoAy ZiFJA4O0N7ZJyE4V6hvyZWkg/Eknguifvm5yc0cnmQbnDJWeJSALrTK4KkGj ATlh6sEMcliMTZUFhwbvqyjKWKzy3Vx9znkq0OCo0JajCsR5TpM49t2lNGhs qfMJQlYR/+hWp0KDXW9ejJujfb6+uF1p7Xocv+SOy3KM1zlmFk17N9LgenDM pgTkKPXL3vZbaOA9zbgmT5xn6MtrSdxOg36/wTbi/QlzDylelzChAfW5x4Z/ VwX8Pk1Ys8yMBqy3GaWePlh/Sx/t3HqQBtFvonWnkAsG3EKPHqHBnb5jd92w nouvvr3e7TgNrJZsvD7qS/QTevQ93IIG6/wy+538sP7zrg3PtKZB3D+rkAFk s6M9m6pO0cDmSe0nGX+Mn+uE+zvPIOt0y9bj5wokduSMAw22uzaOXEcWH9bW oTjT4NKd+kB95JYUlxgDNxrwy9/I1OL1LlC+7cr3pYFX34RED87v6J+/gncB NPj63UjyCbLuG+rDges0OK+9mHUVeXHg3mluGA3sl58OJM6TTlo6pGy8TYOY hOjecVz/183X9x2IpMHQ98t2DcjZgtKMkFgaMNYFtV9FjmhsP5AST4Mnyva1 x5E9syeEyx/QwMTT/zPxPhfrIFJOezINSlkz0mzk3TZqR8dTaTDxj2M19yrR 78NAbHEmDVz93d72oPxpLNs8lUcor/5i0zfIc6Z8zXfk0mDG+1d/AXLvh3gJ y6c0KPhkFppEPO/+uKjAs4AGu2v919xCfhbabH23iAZfLOzarxLnD07/kc4t QXk/NvIgzkf4bV/0oq6MBm03voieQrbjrjjd85IGSis0LhLvUzD5qyc3t5oG QVFvqvYRz+N/sixj1NJAXSO/l3ien/vUy2FtAw1u/zz5bgeyWHgM1eQdrjeg 3VWXOG9h/+yVfRMNLmQn1xPnWZr1G50Dm2mgMtv2muASxSHmg1YaNPSuOkF8 P1lIvKb4M34eOuhNjBfSvsS1+SsNPjnN5RHXO1ewlTfShfbAE15D1C+H7xxr kOihwc+XapnEeWLGE3G6XT8NRFbc1bdC/vIu/9TrQRoUVl8+6Uichxi2zlv2 G/UrrDns4U28X2nxnIBR1J9x3odryEtV+Xu6x2lQ3ZIxlzhv02dgH6MzTQPL 2atWqciOQZWr/82hw8o6Lec6ZLW0c97H5tEh9Vf12BfkP1Wc+iIxOggXZB8j 3kfjPu+SjfsiOmR2afgT+vbxXhX9m0GHM5G5Q57IuvHt3404dGhzDtsVgTy/ 5LpGtgIdrI+1dGUh17RrXZFYRgea24fkSuJ9E9NdtWeU6XDLr/cS8fy+IS1c /vVKOvwND907gSyzfvPJZep0EDpvsVgG7bfpwM/H/pp0qBs+5ilOPH/vGjXb tZYOMX9pB4nzAwcjtu/W2UAHTYayCfG+GXreyN2EzXQQiDhcsCPe3/LbQP3Y djokKYufmI+cZj/H+qMJHXLDh1MMcX32wdk5mvvpoCdZ1qpAnH9JP/L31iE6 1Hw85jKF8SS352mkkTmOp5T5lThvdV7UqivLig4XUpRKiPNga5dIq0mcosPL r9JSRH1ZbHnmdbUDytdzjwSHOL92lUJe5kyHG4+ai4WQtya8tPQ/TweFRTrd 3zB+VX5mzWy9RIdFazwiM5CvzdTqJ3jRQTzxAvsW8m76xYjZq/j79Dy6B/Lb g+9Vi67RYTrv5ElD5Ftu3peoIXRwiruSpY1sFrmy2u0mHe5d1jyuhCz/tJX0 8RYdBgbbz1GQW98HWmhG0sHX71z/fOTYEc3sW9F0MNob9WIS6/MTMt+mhmPp cNjwTu8AcT5R7eYOowQ6FBcftekk+icYbryT9ZAO0k6R6s3E+UaHvq8LU+jA EovWJc4zng6JXHkmnQ7PqC7RlcgqGds8qrPoQNHrXV6KPPR6uHLpYzo0bfX6 VYic03tf1j+PDqa1F7qeEf1X5u8278qnAz+scfYJstbSicytRXSQET2mnYs8 oZs8GV9CB68VyTceI3sWxfu+LKPDu1Ot3QQLacRI9r2kQ+JlBx7xe7/UO3cl q+mgs6sNniLPZ9/katTSYSLy8voC4jxvxPWM/Q10CGwLmVeMLCXht+bSOzr0 C7hxxHxv+Xjx45voMNaxduYVMnnSfefLZjps08uSJ/qxx5w99763lQ5H1usN NCIzfzgck+xAfeRmnW0lziMfte1R70RWdLv3DVnxvaXz/m46zPnLtv2JnLrz 2LRHDx14LJmGUUJepQf84/vpIGKU8GoWeXWWQXTvMB3KvkbtIqG+ninsUJAc pcPCusPVbGTtmK1Z6uN0qPZ1LFiBXCK9ce3+KTpYlXcsXoesE6hV5vGXDo7s jDe6hL39VdsdL8SAiJv6qwyQd55f8aFCmAHrb9l2E/0z6vqXnOgVZUDrr+DV qsjGFpw+CXEG5GtdZnGQm5pp59QlGbBM5t1/i5EPGsr9NZNmQPy9nvp5RD+R DeIy8WQG6G3umBnE+X97LHKvgsqAd3a+ol3INkr/FHsZDOD8csttQXaUG12n rsCAMd/3I4R8R4KHys2WMuDChtDAF8gX5vYZeCxngEvrJj6hvwn3ro9xKgwQ XZIUnU3o/9dn84pVDEjX3E9OJfRv09Lfo8GAXL9yzQeE/tsbz0toMcB6Qm00 FllsX/2s2noG8Noq9kUhB7+uuma2kQErWt1N7hD6h/LFHlsY4D6x/FcYof9n xbFxOgy463lD6Qah/5X5Syu2I7ds+BtM6P/h45wefQZQQv6zC0Jm0TK1JQwY YCek4HIdOTHsv5dqRgxQPvFDimDF+YmGZiYMmGc1HwhOvXyv5aIZAzp4V4SJ 36uMRljGHWSAVfPyA8T4OWfCBsqPMIB1r2pdKLJmZ5Brz3EGyC/5m3wTOf+A v5CEJQP6LpvG3kLWbrgSpHaSAS8ebaJGIpfoepDMbBmQ6LSIFkP0Xyg6H3fR jgHfq+bHxiFXqp9VinNkADvbIPYh0b8h9XRuuTMDhlMGKGnI9SzrjT3nkY98 WfgIuWnhIWO1SwzYF6FiTPjLQZ99raZeDLCUWhBTgdw+scf64lUGhKhvMqpF 7vqu414eyICJ3Q2DbcT14xseKAczILDQ+/Z3wj8OHq6/dYMBxgc3/veLuD9Q 68yzimCAuNPtfyJEvMpJqBN+yAAPp7oxov/E+jMq43b/MWDbl2vuQNR/CgXc pjQGpF102LIHeX/kG9ekHAb4Lrrtewq58dIsZ3sJAwwNJ7bHIauvCdqdVcYA 70Vrd2cihw3Jucq9Qv09NLQh+l38SklMuFzNAJnd9PBqZEOLlbXfaxnwc/Tk q4/IWbTnY3veoL14nbrf5EU8n6jLedbIANm120LriPsXoW93sT4yoP3B3ssv kWv0jl4I+MSA80JmTsXIy4V644faGeCVM/d0HhHvn5+r2f+VAX4hwmeI+eip BLOX9TBg3emTN2ORy2UKX1eNov0W9WddRubWbh9dNcGAoj2vV7kie/u9Y0VN 43jX4usdkTeP956zncsESssaG3PkwnYKa4E0E8IUPu7YTpwfj3yo7yzLhH2d gT82I7sbrTr3icyE7xFKuUS80CrXq05jMuGI3kCzCnLEpcYRGS4TDm96s2YZ 8qjmcaaHIhPONXOquci5KRdcdq1gwug0OZzILzIWc+7nqjJBOJBXS8QHJ1po FU2DCR7rzoAU0Z/nvfyIzxomhPzwHVmArBqaxPi5jgmb50x+I+JHqJ7ajn0b mbBgo57sXOSBf0XORVuYMKjW5kfEw93Pd8QqbGPCnRnq+mnkdJf3lcF6TJBu 2q8+gbxA5cTvPzuZcOB2syPRn8T2ez/96B4mqG5/PzKCXBXnqvfSmAmaSc4l w8hLD851VjFlQv6dmsYhZH+ZG/fuHGBC293vakT86q6hVs4cZsK1tc8/EfF6 m1/ysPVxXI+dckM/8oNN6vR6CyY0ChYuIrjcUNx32poJu2t0HvQR8e9EV/9y WyYobTO9SPBc52KTg3ZM+Pj5xR2CFXwiCgMcmbB61eAowbq3HXlPnZmw/eCW GGI866QdQV3nUf4XhPyJ6/s95YzIuDNBVszuKZGfkyonD8ElXM/RlBXE/F82 N5Y5ejGhoqemh/Cn7t6M5fevMmEsubnvN7LIlF94rR8TvtgXqRP5RnHh8cnJ QCYwNxvxBcT1GWstlIKZsPzW/ltEPWC9Uvr1/htMuBfnlT5DXH9zn5p/OBNo d4/NF0L9JBuVRz25w4TaXudUYSK/mN8T+naXCRecuKFEffHD+byt9D0mGO/k fJiDLOq75+3mOCYcWu5W9n/531m6ziGRCTL/Snu/IOsl/4u/l8QE79KPe98Q +eJZy/yaFJTHCR9hPlFvtAQ1L81mwkDxuSPxRPzqs9pi9pgJPuPTUkS8/jG1 McU3jwmfAu8vuYq8jPnL9WshE9IO9kVYI+urVndIlTCBYwozRL8G2y2JepvK mDBjK/ZlJxGPLfaRY6qYUOJ4UEMdudpFxau6Bte7uj17CXKv77wfgnq077eV fBqRTyI69ix5h/o42XyG6D+i9F/+031NTJhQzH0qSlwvP4zp08yEIf0vyX9x P2tbfdo/p5UJ3L+vYQz52iedwY7PTCjdzg8eRE7rp5tJduL62weCfxDno6ZH izd0M6FH1FzvK3K/RIPimR4mvLcWKW1FFmelhET1M8Ew/8HfD0T/m1Xeo5WD TEiP/yJM9B/ZBYeOjg0z4fN+7eYGon/IXo2XCqNMcDm60JPojxFkuVDFZJwJ v5i+ghrk9HPdt72nmPAsInUXwTV+L6az/zIhq/OAJ8H9EZFWn4VYYPsObtYS 1085W7tQhAVU++8B9cgrCvRXa89nwV2HKJu3yAavufdsxVnwqvCSehOyfevU 3LuSLJCq9+on+nGE/Hx/5pU0C1bIHbvTQfR7mcls/CPLglumsepEf446yQBt HoUFWYNBLweQB1gnHhjTWEBZsdmIkJ+E2jrxK0wWLLwc9n4WWWWrjEsWhwXu Wex9xPvjDEz6P7UpsMBJfPcbErK9VcVW8WUsuBegvpOLnOV/QebUShZoHz2+ ftNl4nnpYz7+aixYoO1lbvD/fKz75+FqFmxO2HL5KBFvLEkfvq5ngccV18gr yP3Ume3/NrJg3tnEcCL/Ln/X9YwJLPjV1XTlP8KetjyJOqzHAp0hv1XvCPsR xCy4uJMFe+tMBnsI+8z28bhrwIIPV6si/xH2zTA52mTCAiHjnER1wn/er68f MWNBYnD9zG7kJcHczTKHWHDZ5IsWkd+SJofZhidYYJW0di1xP6Q7pyXM3pIF oXO1Rl8gK9iWzgk+yYITqbcvtyNbslNd0mxZoJFxJbUZ+cHHm11VdigflYz9 r5A7Q91MfziyIOdQ4sonyJztJ16JuOD3K3+uS0SOf6KastWdBfGPPtO8kDvO kOXNL7Hg2fJaMaI/CYs3e83LiwXFgtuHjhL7i7D6M0V+LFgp42hC1JftO562 fQpkwZ2tzTIrken/Yg0mglgwtLHSkkX0O3GwV10TzoKX92J7iPjfqmgav+8O C750RGkQ8YnavkHa5S4Luoc3byLi48HbClfDYlhwPX5wMRE/onYtHMm+zwK1 /oESov9b85w/lvUJLFAaOWNA1CPk563vfz5kwfc298py5P1O5briKSyISZy/ rgg5Yln6U6V0Fuz52J2RR9Q7HeFLd2SxIPJQvgpR/5AiL949mcOC4enpl+nI +/ZYiPk9YYGo7NwrRD+xWyI7Lz54xgLabI91MnJjkVp/6XMWKMbc9Sb6wcic kz/ypRj9J7m8jWBjZaG6v3wWpC/+8n97Cevs2cioQP/YreBK1F9vo95kaVei fZ7wqSL+P1lknM869JoFs0tTPYn9jeH8+JtudSywMRq7T+ynbpQECEW+wc/3 X1pN1GMNFxyd8xpZsMp9QrceWXLl/m+NH3A+V99/Iupvg+5N+363sOBsNGWS qMdC7i15uaidBUmjZ9OI/FBnIrlG9QsLTFwUfhP12ELxsWSDbyxwU5b+SEbe VdZOtvuO8vnx3zFlL6Jf7cvA670sYAX+CNmC/HpV5kTKTxZ0mh6w3Y8s1nP7 dOUQC8ibRUeJeiXQzGq38BgLsrXqlicT9mjUfvTkBAs+z3NwJuyxeKeZY9U0 Cw75PCvv8SLe57wjPHguGxqyhgM1cD8tsa70weA8NjySiZ4h3ke6TGN9ntEC Nigb7vT0Rz66dEWzrDQblERX3PmK7MZJ6r0gywaFjfFLZHC/f4vGnGoms+Gj 6c28bchVUouYsUw2qHX2PM4m+qeJXVOd5bBhp+l8GeJ+1szcOWCuyAbPObOG XOJ+1/iIpeIKNnzRrt5wD3nPb7vzAapsIHnFvmtFtv3Z7d+rzobD59eQGES/ xO/H7u5awwYf34tVxP2M+18+pmauY8MxTQP3V8T7kT8ZFUptZMOwyKfuK8iN 76trnbawwfCks6Y20a+kunBIU48NJdy1dKJfikL5aqG7O9mwNJA8l+gPsrk4 U2bSgA26gXvtlhD3m3LiNF/sY8ONdreTcbj+jigfj+0WbEg/NXP0Pspz8tZ0 cIo1G9YGbisk6kVS6Pn7C2zZ8LWn59MSYn941aa03pENBru5f4n9l/WlL+9W ubCB4mBkSORXrwsHu8IvsGGe9uiMIXLe6V2i+z3ZIFehsIDoj/XGqoJScIUN 90Xu51QR+ePYxuU0XzZEnDXaSfS3Ejn4VNszgA1vnj0UXEJmm6gadFxng4zr rrbDRD84g5RjEMqGz4qq1E3Ipnqcsw/C2HDyjfU74v+LsxDtLXKHDa13uIoS RD7TXnzL5i4bWvqT1SYvYX2iGfywOoYNjGQNuX7kUlWRp8pxbOCUTQx1EP0c lS5XhiSygTW2oLUZeYwnaB5KQnnO3fmb6G8mzTzbZ5zKBqnqQ4YfkZUpvVO5 GSg/eviCduTtMhYSco/YcOVY9/ofyOYLW5luuWwwbmwZHUX2mLdv1aenbNAv dDEUw/lF/KuFDc/ZwF2ueIiDnDOpa3K/mA0WsUVLiPXV/Hlh9Y/PhlXGJhXH kb8Pal2wqGDDeRPtLf7IQr2PAioq2ZBnMpCUg0z7phS1pIYN7FVjf4n6YE17 YlpgPRvUN3XtJaM+pFVtJx69ZcN/5JMxRD4buKK6o+U9G0TcZyGQqG/ejUYI NaP8/Kr1iPs1SQpF3UqtbDi9ipNB1OfeF66u3vsZ5yseZbcX+WjVDp+LX9mw pK/Pl7Afkl0Tu+YHG241nE0k/q8dLo5xHOljg1nHgTv3kOukLF7QBtlwc9Kq cILoB5U7eNjuDxsuPV5jzSf6n4jkpd0WoH1L336phPa9cb/HRNEkjndKUSYS WT4VdnTPsOH55hMa89FfpjyFd4sKceDnkfrHbsi9yTYuMXM4sOitlxHRP+Rj w+toVWEOCD1XWr2G6F/CCevdL8qBqCue3aNE/9+XjIAUCQ6I/3fili+RPwav ZG2Q4sBIbsBcor7QI3c1vVnEAcnBiO79yDzbNIWJxRxY+l5Pag3q89NCrTJ9 KgdenYvSo13E+lMzuredhuPtPHj3vjva/7GZRc4MDjxSeGW7BDnsUfnxaDYH wnca+29zQ39pWRKwkovXk4re2eqK9cic61llPA6QVpZ6uyLr7zOa6VvCgXx3 vkrpBdyPeeYqeC3jAE+8QtqROK+VLLd78XIOFAV+3E68j3Vxg7vLf8oc+DLe 9q/9PNrHeFu0tgoHHivKO8chD7G3lDWsxPFM2TU2yO36D3otV3Eg923Zei3k Gud50uNqHHBcPzEggVwQY7s2WIMDWplvpH6eI94fWHucrckBr2dm1W+R7wyo BjxZwwEbqh+UIPvI3crasZYDlUdVYp8gO20ea2pbxwGORtffHOL5h1MHZ85q o/xTfvo/QzYIK1IQ2ciBOyt4Ji+RtZ+zdkdtwvHNey63Iit9u+qisoUDA2Xi vElk8sLv0aXAgW/Up6YcnJ+Ipn6ZqQ4HTKtNlhsjjxzN6O3dxgGxtss514j3 qfpLSV/ezgGpiZ7x18gN2c5rZXZwwJWqK04i3k/b3HQ8WZ8DMXS1XzbI6ULr AtbvwvGYrIxy5Kjl97Lqd3Pg8JNNW5ahPkb/6CX77uHAxDedtXHIRiUjseuN OGAyuv0aG/WZfi3uzi9jDnzNk11K/D8pum9XSLIJB+Y6nP9H/J9pyRT4HjHl wKyT2OxX5JKexEsy+zngaacoSvSPvuA5eebyIQ4MO4ymznhgvtdLtlx9hANH N90aJvpbq8jsPdx3lANKG3Xu3UF77E5O3WlmzgHd8AgNwh/ByXTrQksO6N2Q it2I9n1PW2h9mRUHUm9OWqj9v79WpprbSQ48OHlDQwX9weTNAaWVpzigY9bo uYX4/ydamNNli/atWNRA9EtaYP2IEn2GA4vVXycq4XilE6Lz5zmiPETbHsqh v6ziPfvefp4DQZY/Pi3A+QcNWHy+5coB/RXbpqRwfT+eSX7Qd+dArGimljzx vNLuky/zLnEgQFaseB3KV+IC6WGIDwdu/BZ99MKZ2H+Vxuj44XyWWjj+chLw KxbY35rw58BHll6YEtE/Oq7iqvV1DmhKf/fIdUT/tj17kRaMXHn7rzCyxmq6 89sQDuxvvrr/uIOA31flYr4xDK+nMNylao/72VusgyPhHNjlp1ySbEfcj60x Sr3NgZnYb8+XIs8sdd1xPALteUEdL/cMxoPf3C2ku/j5/JCt+sh5RfVaNVEc UCXFHek7jfVXwEVV7xgOFJ5Y9yQC+YzxkqVasRywX6kWuAe5kvaOOXCfAwKJ jsUyyLzvnnIP4tG+x+fc+Gor4F9+pCR5MJEDPntSVIqRWy42iUg95EB7nhg7 CVlT13umIokDSS3nwqOQw6RURi/+h+tdsDIzGvlnS/PPVakckCg2uU30n9d7 6Nv1PQ2/P1hqU478wGFV270MDtSYj27tR55d29a4N4sDz/iDG4h++YfmBtbM f4QcQzplgZxXp1H+IocDm/Vo73KQpe92PD+Xi/qJbPeRxPXbWwQ9Xp6H9nFR 39vtDHGeXSvty1OMD3Ybq4eQFQWdCRH5HHhbe8b0HMrzSmlo1O7nuH6xjdR5 KP/+z6V3Jgs58CNm5dxE5P3Tf8JSijmQOf+rL/E8Spn8slCzErRP10bfWeL9 A1qHrwuXor1NKX/jE+fB94X6Py7jQF1GzMXQs8T9k9KrJypwvXFb2afQPloy lnoUVXIgZOXa+k0uAv6214dcT1ejvxmOWGpj/Mj+EeJCqcF4EuLH1cF44M/9 c+ZcPQecwrf5XEV/Ht689BT3DQeqB1t+vUZ7PXr0kNWbtxxo+mBUIoP2rXGX f2RFE/p/ru2W++iP9/NGDnz6gPaZZtnyBf1RrHGJaWAzjtenGU/cj/8iEWLQ 1coB0ZX34+4Q///5HNx0rxP9ITPvuJ6/gD8eH7x+ZxcHrrm4GVkHYHx4UbJm vJsD3b1rQi8FCvjrJxRV9/VyIMc8Zcud6+hPDr9ZC39xYLR6fahVqIC/N1iR /nwYx++s/gQ3MJ6lHqCcGuFAw/mUy6SbGD8rg2TlRnE+hwdWdiDf7nqxqGIM 40HwxaT7YWgPQr8XOo+jvA/IJ5iEo/2yFMXYk3j9vDvdM8hwKEjo0gwHGDFC zmq3BfwM1xczSrMcCGu6fPj5baK/0vDEx38cgIcKb7XuYPx/rDDmN4cLJZd1 clKRBxv2/9YQ5oLQj6IOqQj0p4Hrg19FuPBSmLz9dATxvvEXfTdEuZDbH9qY j7xq2fD3jWJcqLmo5DmFHKOr8K1/AReWVpVtVI8U8OdZ7u+IWsiFG6J0uaPE ec4r11v1JLkQ0/5j4SXk9tjij6NSXOgQb1p5A3lH4a/GB9Jc0LCLDI1Azm3m vTFezIUzvKFt4cisMbPaWVkuRAplnb2KfH3x9apMOS7MTj1fY4M8uqq44jCF C+5Zi8u2IJ/Y84svRuVC06caHSnkmjO84mc0XN/rBSPvcL5rrpkVWDO48PH6 PIlg5ITka3mLWVwg/55+vx55YUVRTimbC6R9y293oHxcvw5lOnJRXu3FUReR v/3lpjEUuKDkX7N+IfIeullyjSIX2j20391GeUd1q5YeWcoF8xdq9xnI3Vli bQPLuDD6vV0j7paA7wnF0otW4O+nFzJCUX/VCyJXJKhwITtojfI06pv0/qye uioXQmK03KyQzWN3WpSv4oL3H/0zlWgfmScVPPepc6FugaOjIvKE6t/Ibg0u HN9oMnIZ7Ut34uPjC5pcaDW2FevD64WV5dSJanGhutNLzzNKwG8LCuq5u5YL 0n0a/oL7Av5SU+u5y9dzobTHJMfsoYDvwtzMLNTmQv/QyZd3UwV88ZzfJu2b uLDfcN6v4lyMBxdrHRy24HwMF5nF5mP80km+NgtcKLget+1AMfrDh4MlHF0u GOc8ZR96hfVjnManx9vRPvbbDcW+xnx5SmJUZwcXfEauij2rx3wyxV9+chcX wkaHcy0/YHyriNYV7Eb9NSqV/GnB+ij03InAPVzIWdQrbtaO9cj+PR7yRlwo 99p7zf8Lypu9LCLNGO3nReF6v2/E/VOhHG0TtK/VTVrGxHmm3Naa2n1cUIuo z+jtQflfyvt+1IwLu964fjLox/2j7g2hof1cALNjcp4DWJ9J2dKvHOTCweLv ry8MYT3UvFVL+jAXGm5ZuK4fxvohgb438QjK/yT3UeVvzNenx+w0jnGhu8uH yfwj4OusfhNQcRztU2r6ysZR3N/PpCaamnNB0Z6RrjiG+5dXPsXfLbigz4v2 +4C89ObRZlcrtK8pkDQSoPwPao3MP8kFsdXT+8ORS7jSktE2XFCVKb4eiyz+ s2+Zsi0XUle6fnNCNsur0Ck6zQVlm/lPpJATLt8/ZmCH9mTDtXTF8Qf03Nw/ 23PBsWylXSrOZ5303tuOjlz46rvyeDLO1++Tcva/s2gPcOeLwwjq54HI6zBn Lsh7sFLn4voY9h1d3HNceOD40M/6F+prTcFs7nkuiCt/M7szKOA/mQ2n6rqi PXTslL79E+NVlZ3mBzf0p/Mviiz6BPxd4duNbC5yQbDN5NwclP83hUm/a55c cHIOfFfQKeCrDjbGU70wvgyWLHzfgfXDs8zC9CvoH4MJ7hVtqI+d5sN1PlwY WvPngwrax1bHqiMy17nwn/BfvmEl7i9a+vReBnHh05OivqEytJ9tEhpuIVzY Eyjzz+EFype6V+zzTYxXq54JyeZhvel77s/NcC68Sm9X3PxIwI8eiujQuc2F L9yIBybpWG8dKng9docLtuuStuxLxvrnZWteaiQXXtd3v9VJwHpB9W/8kSjk B0brifPyV6LZwVIxXEie1gi1i0b5iui4lt3jwjwH7stf+P0RR2uL8/e5cP6t +QY99KfMTwEGy+K5kL4po8cOr39SN21tawIX0ipvdx97hvmROiQJSej/WRvm xFYI+Lf8pCdHkrngYjRM60L/2f1Lozs5hQv2F9UuDrxB+3jpVrgwgwtjyzsf bkJ5ua+KSS7J5AK3Li/x6lcBXz2mOMw5mwu+2xP1vL8T5xPmnGp+zAXXdfTw FMK+WxVMgp5g/NwzeK8e9U/Zrrdp01MuXHMdoqShPb19ZKs0/IwLCpt2k9dP Yf1IC5Z9WIDra/Su9/yL8cY/a9askAs/BeLR54TG+X9/vekTK0b/WbBwkiE8 zn92eKSp6AUXKrb0hrvPG+c7vSKVOvJxfmp9KwLmj/OV1dZmcMu44JxTmbt9 wTi/K+ZQZFM56ltx3Zp88XF+7DzPq4EvufDb7GJ368Jx/n6nOHvtSi5c7Xgt +1hinC/dVnpgsArj3a4fa7Ulx/mvt3fpJLzmQuM/jx+uyD4581T31WI8Fwr/ cAp5I12JKlrPheG00VZJZIH/LpHnDVzI8438eRrHezRs/8vuLcZDtR+0y3g9 2yM3W1mNXPDMXBajj/PhVT5+9e492tPX8vx6sXF+u1pTjt8HLjzLC+2QxPVE 3BPcW9vMhR+PpSPEcb2GotTA/hb050OVnq/mjvPFnDe43G9F/9Qz2wsor/K2 Y8eM29F+4VUPIc9Let76wh1c0DR6tPIyynuI/op1upMLOzqVR9+iv6YG9Cxg dOF8bmpUKGE8svi9YKyhG6+36Gu7AcavpkrDWs1eLrRc++ks3I3xR935WU8f FwqVfD/HYLzcEXs7MeYnF/qy97qIob0UOre4Cf3igu7yz0+c3gn48QxLxbox LviJyopVYDzXXr1C1XIc9RWsbP0U433TztG1ExMozynK60jMB47mL7bemOKC g5FR2uksrK/cAnYrznBhQKXNUw3t/UGokVnhXy6ceBdVOvhAwN+YJH/C+B8X vBJdxh5i/vlY2Gn7Q4gHVrJR663jsF54l+7iOZcH28K3zj7BfCTee85zsQgP pN5qHh0mzsvObgxInceDTOZtRUo2+suKN9FNYjy4Fki5QC/AeijgT6nKIh40 WaYdrKzBeBtbXFMuzQPFhp5pBvrL+Sf+TQcX84BXEnPY8D3K8yul10+OB31v xty0UR46419/0yg8sNtlO/Ib41G7ZPp0jjwPLs24JlzG/CKzYeOiz3QeHGMM 5i/E+Ja5dx71HJMH9Y9sDi0k+hXYNvAWsHkQ/31F/Cf0r69ed1XiOTxIldlj eAHjqUeEudYaHq5X58XGz6hPUuZyqFXgweLh23ul0d+yy0d2WizhgUHAHn/J CQFf/1PRvvGlPKh+LP7t/STxfgi/Y6FKPGg+1+BrOY35TNTwlIIyD2R/FUYV zGC9x6Q4P1/BA+EuA4sPaE85q796GK3kwdOmCLWCWYzHu9L8vqvieG/P25v/ w3xp7nLjkhoP7F/Xh9Yje7ltiJLR4MERHz7nH7L8DZEHKat5sPlv88tR5Nyk +oxNa3iwx3bHymxkg6LIp++1ePDlkgx3BfKPdyf4p9fxYPX2TZfs8HrevUqv /63nQZKh8IqzOB/av9+NERt4kKA4tVoL55snV9S+YhPOd8nW7FK0d0MVvx9l m3G+EWmVUrjeXp09wweAB6smPpdwxgV830PkqcGtPDgcGjgowHzGcvoi7LeN B1kiLiXhGL8KAlIladt58MEgK/c35iuT+86UHD0ebHHNMqdgvhp4os3V0+fB /v9szwtj/g+oEV7RvpMHPyXOPXr2Q8DndNZpuuzmwekm+T71LgHfVOqEfpwh D95phPD80D6GFJVMNI15oGW6f/OxZgH/2obfR2r28iBapDVsLtpTsa3vWYEp D8guT0TyMV4rVqREGh7hwc6ptyrDmH8aVCaS2o/y4ILy4AInjP/ukfpPzhzn waMaIY2aNNx/CkWXTZzgwW7x/V5CSQJ+7em+NwEWPGAcKWknoX+cf7++g2TF g7izQUYLsJ5jbQoaeGDNg8b2K4NfiHryv9YpNRseZFvUdcYEYz0hvWIB/xQP /h5UcbuG9SLD4xJlz2kefDdQviaO9e6rrtolbWd4YPP4l0VgDOo7315n3IEH EoVbXtlg/uMfy7606jzK41LugnOFmP+rZq+/uMCDr6YLRHz4mJ/VjaJ2u/FA vHarhttLAd9GZDjvlAcPznZ6RIg34P7UESrGLvFgtquKldQo4D9vDnvne5kH E15CATSUn0SG+lC8Nw/EXGxWRmB8ekbymVnpg/5v1akRgfI392oUL/blQXGC +oPTPUQ84FF3+fNA+uy9AGmsN57sPbesJYAHcm78mUD0t6NFFWtsrvGgd4fG 6gb0N9ElJN3R6zxI3LbIrhPt5fBEnrl0KA/Uwm232aK9iVjOOxt3gwd121Kq WtAes2vNLquE8eCfQqucNNrzwTX/BReG8yDyZ/57iTnj/Dnxgmj92zz4/Dy0 uB7jebrYjtSPd3jQRvtfRWceT3UWBXCZFomGwlB59LsiGi0zJFk6tjK2oSSZ kq2QZYxkyxYiU6Q0ZEkbErK8ZOdhhCl71kGJKRHJ9uzPnN+f38/7fX733HPP cu+7v3tP3iOTtXMsU/e4ArtYCgI1xy/GYfzn9A7XTMWh/ny+iCSvn2Ol6xx6 GxRPwaXC2FI7zBfHc65/2JyI8ei8bxh9H8OSaM9EUhIF4ro7yvdifkkJluXI JWM8uWVSvh/ZaMyHr/gBBXPrbq1M4PPzJ19vO/aIAi9rBX5n5MesbbIdj/F9 L9vupmB7BrJOSrYp6K9rXM3iUZ7ZO6U6k6kUMD8Uy+uhvMnLm0wDn6J/nDER KKTriV84Y8P/jILqxhH+AcxPU81ZbokZFCzOBxm/Qn9OUl4JkM3C55XCdtgv 0/9nGEYWPqdgspHT8gr9dYIvOVEnhwKFi6nDHzCeaQ6oF1kzKbD0iUw3xXw1 9sut2okXFNhw0hqyMF7Gvnjf7v+SAs/B0qOvPrNZI2FBk/FFFOgeKT6tgvOX O99aVmVKKPhmnKediP6narFzc0EpBbVbSmUrO3F9I18t11aBz38vkmPZgPH8 0G8bgyspYICGlDXOD1laM8MHqrE/gV2sXZXov6elU2+/ouC/GquNq5i/1p1n hWjUUXDRQXtQNAv9w83cZrKeAlXzmYOr6H8KVybh0WsKJMcZc/R5RP2wPyVM GiiQc1lSVMP1pc1twuFqosDPsamAgeybVNaX24z+2mJ/ehL98/bTk6VWrRj/ uJKtXuB8MZ35NV7gLQVRhxLlbNGfK8vDvSvbKZBedadWcb7YVS95yq0T9U3i K69h/lv//rhQSw8FHlXiPxhi/hMf/TIV2Iv9KxTbcAPnqwqzoa37+imIVrfi z0b5DbgYue/fYXzttfySj/nRdlNh1K0BCpLyZNyTc1E+EWOXI4MUBLPKgh2x /3d2juhPDKH+FE9uFsb49OzHYLkHHymYmU0SefgS5VPavvHXYfRvm6/PN2L+ 79bMH+Z8xvwbGDZnjPl2wtCwNnuUgoCEFzKXi1He059SLMfwd1dOyGWMFwy7 wJDNXymw4jKyNSnF9ffvojYVExgP9q7fy4PzCwPfPHCdpMBOaqdlPLLdNT0J xjQFQgVagWtx/n4lemilcYYC0daGvb8g30n06/NnYzzgG9huj5yRJlwqP4/+ 6++0wRK5Ki87vn8B/XVgd408cnfZMe/IJQoSlBMOduL7v9UNmKmtYPxcw32S Xq9ueOujOM7B/LdkJpOH8jHebRG6z0VAteHnuiGU/+BI5pQBN4FvbtXnJrB/ hjParcvfEbDMfCLfjv23W+3PyVpHYG1IW8Ad1I8fr1fUmQ0EgiZDmHI4n48R FnDh20iA919u5fuo3wzJZ/plvASSz12PGUX9V+/RlHPmI3CvQsB0ax59H67H 8JvvCdiVNT9awPHkMeSvvSJIwLh5W2oRjreEeVrKnq0EKlykFk+iPRi5dlvf ECEw0PGTwj60l/M+f4CKKD5/hp/fBe3JL5RX4osYgW2pjYxItN/MBNU+PXEC U7k/e3vHYfupHSWLDAJZzvtlj96lv99zjc+QJJDQvfvjYjS2X/fQjFeKQOgf XsOMPzG+T69t/UeOQHtIQZ0PfR4kQ7vpzI8EUppXxke82Cwz69A3E/IEgj2a a408UD7RmvrgfQQWrQUL6PqBR5u/qxU+QCAsIlZm2ZnNUg/T+jv9JwIHXXuj jjmivtVCKlUUCDDrxk277Onzn9XlTYoEfuoo60tGls7kLrVWIsBX3B/jgsyw 0SyaOUTAauipsxayiFjwy/DDBFzT+09JIm9uqWJuU8Xx0Wdpr0VeH74m97ka 6ktXfOfEBVyvqmk8hyME2OOOPQPI7JmgjLdA4L+fX5v3IH/NrHx6QZMATO+K 6Eb+aMOVuqCF73dSOvEOuU8MHt/UIeAtnZA8itzeEvhA4hiBXPUekxXkhnBW ElOXwH4e/+Mi9H2/6qvxOnoERHeLXlNELptVj+vWJ6AuZtpogZyfFXDXyZBA uvQKfxh9X7BtxW2OEQHn9/yyhcgp2zhRt40JZPOUrI4jJ7Wq3ZQ6jvoT9HGX c2Cz7l73jyg8gePFL2DtjHzzSHmY3kkCsUcSM14gh7KXQ/rNCBjIx8lzob79 nqtedTNHezMcqTNB9rDzC/jOgoCb/mezdGS7tiVv2bMEpEOyXtnS9UwjVDzL LNGeFBLO1iObwpVLv1oREMqIsTjghOvB7EWXy7YEdogoTHyP4yv154JNlSOB h3/LnltywfiqoWxl6kTgU2IQJ4A+DznvfXbYGe2HNdWy7nfMxxfmT/G7oX+c TXTbgfYypDFncNqTQEYM85CjO9rn/EG9MS8C3EqXBbgvsVltOZ7HAn1QP8WD 3UnI1eJsjVQ/AhdmTsR1of09Xpg5OBlM4DD3dp2zaJ8JuQoKoaGo3/oG8TX0 +TV7jwM/hKH9SyUnpiIHd0zvUYsgYPHR/v2ED8b3vCnJiFsEdF9KTNP1mZyD Tyzr3SZQL8DnqerPZl0+kd/FF0OgyXCXxDS9vy4l/KLpLnKPXH46/b3o7OWo 6FgCJXdHFs/Q9V5qOx2P3yPAIwrFdL3ExDglHaEEAml7H5vQ9d9SHO5Jdiai vrVmBQXx+WzlhaW4+2g/XQ+D6O8bi3gtuk4/IHBnp5fIW5SnqreEuf0RgWWj Dq1qut6Xv5/jgxQc/27jFfr+7X6jfm3rNALzHHONRnq/R0JdkqSj/wtvifyE +lioWu1My8T2I1TNVDzZLO4YK6bDcwIX9b2MvOj9H7uqSLkcAn7qutos1Kew IuU4lov2y69tuxWZsT5EO5tJQE9MtuUSvR/YNSThlo/yKvM8G8DxOpCuvXSg AOOBgcs6C+TDPqmd04UEkjLC2e/p85h665kviwm02B8Pd0c22m4f6VWK9udW ViZI1zcdq3NQLsf46N3yF12f1Kp8t/ZSBcpT2bfJE/liVIREeSUB34yELSrI HudGFwOqCVDE7B4fsv9+/U6oIeDeIxQ2ivYVtiYrj7uWQJlOOasdObqNL7Km joBRoJrUm9/p78NdHML+Qf3250U2Ij/xaNLSfYN8/kZrL3KWzj4J3kbU15qC ylnkApHoxTdNBF5frZDZju1VDn/riGxBeW3nm/SR/ykyyfu1Dftj/cQ3HLkt gnlTsJ2Adq3AF/r+8z6LrQ5vO9A/rtX3MbC/n/Z4aP3VhfYrks3jizyx3M44 1UNgbPMuKVpf842Ki6K9GN+vKn4wpM/LP4jt+LcP9SeS+5U+v7rJbS436R3G x88m80dxPIQ0zG9aDqC+t3xOo/eDZYbEtAaHCObrX64v4/jtz/dlpHwk0Fmk snofx/vwtd6F88MEGOP5T46iPRjI3M8dGUV/DK8aovdL3Z0kGZOTBAb/Ip0l dD1K1asLzGn0lxPvztHnAa/xD7Z7zGL8/kOq5iza572cJzfm5wkIBKua0d8T Pw5aa1+yiP687rfkUeRMk/OafssYj3J6Z+vR3vOpWnF1Dr4/unaYPv9UMS29 sLqK7Qtf5URcZbP+B4rpkdE= "]]}, Annotation[#, "Charting`Private`Tag#3"]& ]}, {}}, {"WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwUmXk41N8Xx5mxztgydoOJilBoV3KOkJSyhFSSZCehTaFEIdmSnUiI0EIh slPJEl87EWUJkX3ffvP7a5773O28z/3cc9+vZzZbXDWwIjAwMKwzMTD8//fZ XQsWJcvHqldC+x3ybA8ermqm6Zyh2cFY9cLv0wfnVTe+lPjQaLfBN2WJ8fYh AeAKy3tH6vAGCfm5a95M2+FZWZAEM+0RbN6bkminug/kJyyDN2xCgEX4E9/q JTXo4UpYX20Pg1GJ13bf2LVhy0v2fcsrEaBc7r//NlkfHA/fuLIgEQOmwlIf /mgYw/uWvpRZ9XhwvsOTcEHJFJYddLqnbBKhzPZCzwPbS/CcsfvRgmYSlPf+ 4eHitQKN+idb59tfQL5lpfhlfjsYjtYqn7VLgTj/61bPXK9AoOWa6cxKKpBS fW/+5XOB5hXb8EmJV3BkcjLq7OmbcPOruOJEdgasR8i/PLrvNog8bakdV8+C oXrVPPujHmAhi8S/Nm8hiCvNVfvWfSCs3GmY9XgHcun8b8+p+0BLn5HYrGY2 dLZYftm67SG4ZZELpttzQPimTS674iM4HjbEMv38PYyybXDvPvMYqG7lhlN2 H2CQZnxif0QQlKnfmpxYyQWlP+PPl2SfAOuP39LjEgXQai55Ou5GJHSUFd8Y Gy6A7Wj+SngwCjJeRlf+zS6EW9vve8qax8Ap11MXR9WLoHwkrkzwdjxEshdG /rEpBYOdwjvOxiXBh1vHXa8JlYFHMk9Hxv0XED+6X3jGowy+slWvdV1JBqdG XptpzXLgvxq77feZVOCNryZMtVdA1rdx3Z+ur2CFK++Vs0olCPeEDt3wz4CB +8l6k88r4QZb8wQxJRPybO4mTNhVgaTTc2me8ddwbveeg/9WPgP/w49xLy5n Q1JNostfiW8Q5ip26WlDHsxG58r2Bn6Do+Z6tpWx+XDUpra/aekbTM4fzouw +whjxAWjwuYaOBjjLSrHWwgHDp86+MivDnydb7mZhxRD49tVgvREA1zdF2C/ NaECeIHdjHNnI/SZkxSubK6EQ9vCD/pZNgLn/vi6uJeVEDz7aubOf43g8MM6 8H1eFex50mplkfkfXBTvaF4Y/wL3auSPK11shqWK82H7CmshPTt/W2ZEM/y2 kA5PM62DpugjxK11zSD7abuCMGM9bLExKRJSboGI6ldKzHrfoYb4YCcDpRX4 3HvkhX0aQeDwD96GL23wNhz0S+2bAbdYTxxba4MLQYJs9vR17MhTtRW722G9 jZ+4RaEFijpZHuY9bwd/74Dv3xZawOLmroVndzqAS+f99aWINnjz9tEPx51d wL/08YgCexeM8o4GHr/UBT/iz5ddv9EF0jePq8qEdwEzS1xR/u8ueK5CTupf 6oJX3RGxB8p+QNi3QOtzn3/Ay7KQ1H1+PXCzP2RKy7QHwuMNE5pf9EHO0ckX W0N6YFUQPjL/6oOJV3qGxIoeGJM7fOCTxC+wdd6UXyL9E5K2uvtmJ/yCc2th HntnfsLRgh/szS9+QyK51meTZh8sxzN921o1AKqH3U29zPog48y2j29Ig9Dt JLd34lYfbLjlnCrVHwShpsdDdRl98C+RfN3t1yA8idbR9uf5BRVRLpH6rH/A Z+t3ro0fv+CB3IHgVscRsIH/YsZc+2Fdd4X9RMo/YHgxX/jjcT9sCe0sGF35 B9FM1O6alH6YYI0Z4DecgOpv1uKv2vrhn3xkKgtxEmQMV19YHRyA0cI4pkMf J2HYVjrrJ+MgqAW1LNgqTIN9mGdJY+gQsPDzN3HqzoHT4Pb+D29GYLYnbqVK bRX6zDrZyr+NwO0cHTWDB6twusN/Z/3ACJBlJ2KEv67Cgdo/twdFRmFs5FzL qZNrQMxO5RHwG4XYOOk1UdN1iPbYrHrr4l/YVT3xJg8ZsJwiHKPMMw6T29fz HK4QcE9QdYmm3DhIjK0F7gol4EsWtwH9o+PwJiVoYDKHgIFLbQr2HuPgkZXy +NQiAY17w7/EDo/Dd1cdtPYm4mgGz+xK2T84/mjDvyKMCUmbH0j3HpgExgBW tYPxLFit8kThruYk1LUlJcQXsKCvScJ+MYNJ4F3e71vXxoKE0I9a5x0moapr d2IwDysur4/ZtD+bhPrtzRev3mfFv91G6Q2EKZC0vB5/8AwbZixavHPinoLf R9qP5TqzoS2f80dO6hQImOO7/kdsOHAioPrE3ilYuBYhZfSJDbsLS4a/2kzB eZb4AlMRdqyLlt5eVjcF/aP830K+smPAhz1KFzunoCasIfv+D3Y81qimvD44 BV5CnLs4J9ixitVUW2VjCkRONz0Y5SNh0c1Qu49K00A8H/DoyXkS3gl75nJG dRqivWcOSzmS8MCbjNvzx6ch0KW0Us2DhB8Gqx7tsZyG9NaQdfE4Er42XHr1 LnIaHosXl+xsJqGjM0uObvI0PHfh8lrpJaFsIKXw39tp4L4lXnZsjIQvK3fU yH+bhqCpkTIzIhktew821bZOw+nP7QFbuMgouaLVZf97Gu5lbB6yFCJjwi6L 0fSVafikfPyBrhwZTU9dndZim4Er1wgj87vJKGLvsTzENwPW15mkKCpk7Hj4 iOC7eQYOB3bVvlAnY2RSJGnrzhmoasvzSjlORsPiZN6qgzOwQviwsEefjLyd 70Qua80Am8eRjmNnyNg4WyxJMJyBxMkfiTWmZAzmqZVNMp8Bs4jQPx8vkbFg v1juKacZ6C8uyre1JuOA2VVYdZ8BPgXXfzb2ZOTxLf/26tEMxAwqtXy4QsZD rymGZ6Jm4E/x7/yTzmS0brH6yZQ6AzteMk0oupIxbCXfNidnBqKPDLSaXiNj sSRp5mLZDPwjNjQ00NvD2qaenN9n4MU7LS1/epvP5Q3rpx8zoGx+6M0D+nyI ZgizHZkBzpF9dyvp69uXGlAFFmbgbln8AXUnuv6hlJeVTLNw5+QPa4IDGcs5 FxRdeGfB6XVy7AY9/rE92p/EabMQ/JfmpGxBRiHTOM26HbPgn6Hw4A1dv7rP eMPtQ7MQjZH+F4zJ6JQB56S1Z2FU87Cipi4ZY/97MtBiPAsPI2yVLbXI+Hmx 38nbchZsyyYdClTJOCmxb0nBdRbkZjxi1PeSkarl79NzbxZmTxY/Y6Sfp5ZT F+fjoFn49ibVbFqCft5FdyWH0mdhMHj2tw0rGb/1N2Y9zZsFnp9ZaaNLJJwl Se1Xq5oFB//t8vF/SXji7NcT8b30fj7VGb86Et70Em7THp+F9mevw8o+kfBF moP5wvIsiFE5s7ZkkHBxjvuGgcAcmHkLBjk+IKGUmMXGhtQcXHYZ4NN1JuEp jQ+PXivR65aqVdQ5+n1IDTNJYDs5B8Z8PgmjO0nYWJAhk3eO3q8ccMpJkISr fas5l23nwK4/Xk94gx0NFJK+lvjMwfWgD6oDtex413hG3/HJHHC/fPGNmM2O rzw1u4UT50D25tyAdgQ7MtSNTF4vnIOZ2C3vtc+z42vbXSJyU3NwQKvGXaSH DTtCHqR0rM/B0mufcWf6/WfKb9vpyzEPpTMnrCai2fAcs7v6L+l5WLh3x9pa nw195evrg/fOw39b6qjm8myYfVrCREV9HrbSInY/YGFDtheVjlFm8zD85sqr Ux9Zcfc3/gUNx3k4PTRHWghiRbNJm/vTt+fhdYlqgJw5K+aqckSejJiHj93d P7QIrGjxw7CUWDcPfWXnxN8cZkFS3K8rLp3zEGMVzJFLZsGcc07U3qF5GBkm 3+bvZEZil9/tQsYF+GHaNDDpwowpHYW7XfYvwP2zv7huxTPhUCst/eeLBRg9 xXqX3EFA+8ax0ILbi2DXreNuT14H3tDbIO23CKLb74QzBq1BoS7Lv/DwRRA+ 8HP7aa41IDdInHB+uwgr0ku2J3hWIavegFl6cBGiQyiEON5l+Ffz8Xa43hKc +lRipCo8Dy6fH1hclV6GPcuYz2w2BuIDR1nmdy9DncVI2nOPv1BLYM/wwGXo X7/zM/TZKGzFoKlHZ5dhaF6gsGJoGDoLI7xSHi9Dy3gbREcPgm/nmS1y0csw fjrmCLluAHYvCldnpyzD7oKhsKuEAQjam8BdWrwMMX4PUgzdfoPau5cJnRPL oKp//MQ8Xy/8+257xHx1Gd5tTnWvedMDceOyQ0NsK8Ai3q75VLcb5mTf7pjd vAIRmRl37r3shFep+UVchiuwX8rkJcvrFjCuum0eYb4C4iNe16rvNwOx/xAT 9coKpHgqDFibNcEFWtmJ7b4rAJc7Hj5XaIRNcdVd6h9XYO4d14CpXTWUFATc ralaAeGLnV3EyC/g0KEjqf/fClTe3mjobK6Cz/z/2ZmN0tdzv/w026ccXPc8 5RycXwG+J6Ui639LQeK0UbYDcRXuc+7L2TpbBLdDOxfdqKugYrWTVcY5H7a9 jYvfkFkFM9TJvT/wAZrrL6Dv3lXwSdf4ZeWZA15jEgMcR1ZBzVhAi+PQO9hB /u339NQquOvyk04fyoKu7SlyIudXYUClSOnn8XTwO2bd8NxmFdj9pQsFUlNg j43MNenrq8A0NsRx+ngS/Ho4KvDGaxX8Lep8v9yIh+CUrMI9QasgXiGrKfkv Eg5VOpl9ilmFoaD6Hbj+BIZ/KRKOvFyFZobHFXtOPoYIhpnU6pxVqLLU9FZp 8IEjErnauqWrMP25Pi2bxR0mDt8ab62l71dXmG/R4gzxpspPTDtWQbIzZX/H +iXQdl/Z0z+wCrqiZp8Gy3VgPqa4w25qFbZVnYh6x7sFkj/e85hcWwXLawKF zFOLqnrtarRbpDXYwmz/5SEHwtocsWpNYA3C3aZ0Z+3OQgbfF5sHUmswdGKC haxlD2d2+5PJimvw3uKcA5reBCaD42+fqKzBQYpJJDPhPmQ7c5wW0l4DgdEe AWZOf6iLpdx+bbwGF6KKZ/38QmGoSiTxiOUaON86XJVfEgEME5s/t7usgVKb 98mnmXEgIrz9r+O9NRDLkN9atS0J9qgrbiLQ793kOTHXxf9SQPfK/v1RsWtw TTOwl709HR6Ua/qU565BvvLtC6Hz7yDhr84r48o1cN/nQE24+x4+8hs2/G1c A6NhVZ93u/Jg3M5CVGBsDVI9C4yrxIqALdxOLXNpDWp+dxrJGpaCZImzDbKu w6whv8Dbc+VgzHvvvb3kOphzCe60WKkCZxXfzg2FdTBg1SkS+fsFAqyDNsIP rwMq6m+4TVRDaWHciVKTdbi6eLHnxN56kLn8sZ8Ssg5Hdse225xphiNBpeyv 4unzBV1vpCa0gGn+FwXVjHV4cTsx7/BEKzwht7rbfl6HrKvOM2OZHbD8fopS vLIOKmLHqLwhP4Hv56KyAfsGiO3RlfHg6oOdbAzmfwQ24La6eIpnZx9cNuXK 2rRrg35/0h8YuP+GOiY5DWvbDbg8pdSf/3cQEowsr3O3boDc6k0df7txSHJ3 GFU8w4D9Yp/vc8fPg2IZ+6LfBQaMfVWqSOJfgDKmdObeywzol7bZTSN4AfqC BmhBzgwoUX5kyvD+Iog/v3Bm5BED3g5aZZyxXYbYKt2qpCIG1HM2fZm+bx1k 2f/9t1jBgD7Dm50j365DwcnAXt1vDGh5++CfQzIb0NFWvbzWyoCMbZLBRzkY UGBETencBAMyK35u2LXMgGGcexJ4JRnRyiY2da2agJIGTZl2MozYwOv3T5+R iNmRzgVlOxkx9/lPfnVlIjZKvG5xOsSIH7ykRMbTiMi1axu51pARI5bf7F26 x4QJN6uEJM8z4qTiFa/6D0y445PFttuXGPHunb8Rm0eYUEcjUU3aiRF/L+pI HdJjxgBjITcfP0YUyX4X1CzIgiJxeQ+7ghjRTJ25TPMYC77qNXyqFM6IxwLe hlLd6P7c9smb3ueM6MeuptvUyIIs7qTBQ4WM2LrzS2WyKytGlqZPh5Ux0n25 kppFDCtuZdJiGP3CiHMDNe5XS1lRI8hHNLqZEUV7Hcxd2dnQO3FVf3aMERX+ +joRIthQT/Gji9wMIz7JcV29ncuG4uXXnlgsMeJFQ1ZQa2XDwt+jjY3MBOzd UdlbxMuO01s7dV+LE7CgoXXd9CE7luWFXx3YQsDMin2njj5nx2AtvRBROQL6 mu539ShkR1m7r98f7SfgZs8Hkd/H2NEiK/ektR4BTSwZtrBpk1DxsMuVZ8YE PElVSTIyI+F6vXxQiykB/aR98iZcSRg7kVx3xI6A/Znh6qRYEtp6XRy7fZWA rOMJEo+zSLhvkyhH9g0Cbvo+fv5sCQmbdoWdkPAmYHfuWVov3a8/rzzpYOxP wGF8dTpqgoROhuyPg4IJ6Pn+wuGEdRKSbnrVrMQSUFxxfChGhO63WVRGdyUR UMshKTxEmowvoxbY7dMIGJO9vaWV7s/VCpy0O94TUGdq5yFjuv/mOi5rx11I wLu9C8FPDMnY3TXof7SMgPosf+skzMiY4ZCU7vmFgOdvZzxjtCGj26pp9Yc6 Apa9IGTvv0rGo0FCw3+bCKjAVVNccZPuh8VbWKU6Cbjdsvx+sicZf78JkT7X S0CfiGvlXT5kfAcntJ4MEvDsfoFjdo/IeLeRxab6LwG3ctv/0Q0mo86lCt+N KQIebYi7FRJG54lpz5f76Fz4gbi1XSaS7r+9lb9cWSfgFoXXo9QYMuZR5gZT mIioL/Q33jGOjA9S3jF3k4hYoOX7U+gZGQ32Om6lbCLio9zFVMkEMtK+SGse FyTinzTniQB6+59xv+V9MSJ6lecUGdDbRX8SHnyUIqIFrvK50+cHuJ1LmdhO RKUrg0zM8WQ0YReo2qZIxKiDGglT9P23xf7Xf2EfEf9NHS5qpMc3KxtEjFCh c+ujgzNp9PgrPh2TqjtCRObkbRWDQWQM1WFSJ2oT0WrwWMpjfzKa9ZRaHNQl okzMeeE4bzLKO7l7uxgRMZVmm8rvQabfi30v0s8T0aTqRePqdTJWh0yX914i YlrjUWkDOs9E0t78ErAlog7zNWVBKzq/ZdsxnnIiYrAxS9xJOi8wNPdh0R0i qo7Wv+bTpudnpCTpzn0i7j2W4FF6mIzsDM8Iyv5EZE+8vKlGic5fO85W5UYQ ccS1aoGFzntR6vu3Xo8noudIg/9hEp0XzvH77komomPpSbPuFRJu9ftP6+07 ur4qWc/zPSTMePY2/Uo+Ef9b6NmM9STc+SGIXb6EiE93nyyPKKLz6y/t2vRa Il4T9vsSH0PC44cqTr0YIuLj6asnTE6S8Lv+87fm4/S6NZbMS1Qm4WnbuzwS s0QsDewrUNxCQtOIg01xjEz4RJi9SGyJHZ0mcowiqEw45d9mcPcZOz5NTjb1 N2BCywDtvLNNbChUeL/46FkmpITd3qGRz4bxjRfFmc2ZULovi60tjg1fron2 3b/ChDmKswxLl9nw45nwy+7+TMgl2X3CfZIVu8kP7Z1KmPDz0XwP61UW3Hbd 2s1QlhnfqHAfNWdkxh0He08nKjLjsReh41W/mXAPg4nC6D5m5B1syeKqYsIj gdpD99SZ8T9RLpKxLxOapcgbZpoyY7PpAa4WdiaMbJlWIIQwY/LYvLUvJz2P e+/9eTvDjALvD5kqcDMix8pCxfISMx4670zRo78DvOXOCZoMLJipkXTgVgMD 0k5aGP3gYMGRZ4ZO3SEMqGKlWcmyjQWTTlteFd3EgNcjyIkXTFjwobVXorH8 OgzMRRmTi1mQosnSUuK2DC/Udl/rqWTBoVNMli4Hl+Fi0PeQtzUs2E/c8dJ0 dQm6tjB/O93Bgu58k1F9Xkvw32nXQ/EzLPjAKHbmQ+AilGTr0HbI0us4TV5L 5d08RF1hHD0VxYoD4udp4XIzYFgQz7I5gRUH53Yyf56bBl7mA1IzKax45Nli p3rZNATHO5lG5bDiWtbtAzuMp+FB7Y/vvfWsWJZpbPfp4RQ4b89778zEhpGa Y0YeIxNwfNDeM8yFDT9D89Dfg6Nw1FMqS8ONDcn5+QY/h0bgCH931/xdNtRo umps93QEDmqePHA+kA31PZ4YHPs3DLKpCjNSaWxYrDeitCXzD5CtZm1zu9kw bHi1Y7PaILCtZUXZ9LMhw8Pj4T7zA8AUYfVFeJQNbxpVat/JGoDVqjapuwts uHB3f/JWkQEY21Lw8yj9XfEfeTDiuEr3FwOehh1a7CjafEbXu7sPqj32+QSc YseByXo1vrg+qOKbyFYxYkdpR+nefef6oEjDnDvJgh1nBlR+nv3QC1kpR2rs PNmxlTdNPL28B4IsWXElhx2flzKceMnXBacGQuXExUmYk6bVGBLcDHVyAy2m 9Hvh8WtfkNXeZjhxbf/dOFkSerWSb4n1NMExws9Gof0kPHpImU9JoQmO0ORu UvRIKBDHFNDS0wh7TT+XsXmTcDvv1vKp6jr4kCxkr+VPQhqLppH6rjrY9deB 4htMwnRquI3Gs1rYeYfXmhhHQkHvyzQ9txqQib5IXn9P5/S/VvyOR6qB2rJk NDNIQq0SU/a3W6sgVvTkhtIYCW/uM1awf1UJwpefpztP0/f75gUVOytBYPro yjj9HVv7ff+rhmoF8PCEPx8WJCPLX7UnN5zLIPjMH21pcXpdKtTjW2YoA87E gzNWW8h4zqdDeNu2UiDt/KXZr0h/Zz7wxa/eKgaizs6/PfQ6V/JKftxIvRC8 n94Pp+qRsWclYXjeswAYfrQcPm9Mxv+MrPIzP32EVTv30A4LMsYqXnp+DPNh 3q96b7M7GR/O1i8IOn2A0UoLr+rXZDyx106u4cMbkHjSYR/8gf7u9IRw1Lu8 BkOzU0aGn8ioy0NeqdibBSWLyrJ91WRs5Hdv9m16BWE7NrUs9NPfycnEKMaL qfB12bekeJSMMtueeBicToHVr6vpPlNkHOIIEfU8lQzWFsOe3Bv0eGoY2vXP JsGhqFJpaREO3Ctdde/Q/ThwttzLO07jwLUbHvVlbTHwUilzNUeaAyX4ZOq/ KEcDT13kf6p7OXAHNc1BVSYCNGM4iphUOPBrzLRi6vuncMfa+2XNEQ5cfc0x d1MnDAYYnNyN9TgwqfrocLBOCAh/77einuFAe9ZQ0dvfA+FU3Fm93xc4cJB9 6guvQwB83Ku51cmBA7kELUyUZh/COOET9x5XDvzIVGeX2ucDko2Ky0tuHHjM q0877c99CLSnNjz05cD91qDuGOAB5fvDCk4EcWDsrMolu/23YZ6JLWVTOAcu Zr28fUz4Jsg1eQa3x3LgD9vLL1cVroF54ozbsyQOdPKojbvt7gwRjnaXL6dz oOWwhL7NggPUKPee3P6WAxXbNR3gkg1ssBgdmMjlQL1FtUDrPZdhT0uNZG4R B0oLTHQ/+WUGdknI6V7JgU0HIhnS5U0gwSlvAWs40Gdm4euYtgE0H5L/zfIf B4oWNOdaXT8ObOwv6uraOdDc2eiU0JIaHG4TzA/7yYFs5yhWlbgPXJODkkwG ObBRcH8RpktDujMxUHyMAz9xKnOWvOWFnsO3bw5Mc2C98o49vqvDqrzkCfOM JQ48CT8Mn/6sVD3WYXnCmYETU88qb0idYwHP1K69+1g5MfOx4fVEy82Q46pH W+XkxNb5Tdml3UrwB76QKvg40cPgRYLXcVWgcqrM+Yly4jDDHc7Pa0dBvyu7 96QkJ5ZTN74sHNID3zTpGsp2TvyRfd6z/5sRfLr+7EOnAidWX9whkCVjCpNq lMTEfZz4Lf65/Y6sS7CV+9Ejq8OcmP91ctQzywrOda9fk9PgRM/r15h1+e0h 5NV1s6njnBgQZZP4asgJqm6OHsvX58Tj5fNMOjyusHNTm5j6RU68peptovjn Fp3rh7wjrDgRzVyfeA/fgWekhT9/HDjRxSdP6o7gXeBgEsoJdKPrK61cO3jP G6q8ZAR773JiBevRBY3zD8B97YCH0kNOVDm8cFzplC+Mzp892vaEE5tFS9Mq 3QLgxTX7TJloTjw4dS372rtAODt5h8c9gd5vlCogshEM1SNxXRKZnHjTv+rW u8knkNrd42RXxYl9azZu6heiwPTsv+ZPNZx4+pgRUac1Gvja1g9w/ceJu06G wKhJLHg3SBDf93Bi46B08oL3MzCvuBS1Os+JoYavT1krvQAhcF09tcaJ0tLJ kquiydDwyftSEpEL2cRnHZ04UkA1N1nuKA8Xzs04eE2vpwI1fbA0ZDsXLiro qFbKZkDLlvktvxW4EF5MD/pqZMLjJJaAPfu4sIjfk/mwZRYsx0obdh7hwstu eauBuW+gI8huWNKUC/MU3k+SGrMhlHTn5A0LLjRIJbr0X88BLb+AnK+2XDjf 2FTRSH0PeV6ZHo43uDDuKf+LxRsf4Om1cZ68YC4klE3Yz+nkw/HJtRtsEVw4 NNXy9jLpIxCucP04F8eFfIKF74ZrPoKztULqRhoXdqq/mFc1KoRTZ12Utcu5 MHNVssY4pBhIMHepe4YLEza0WUNPVoCbmgxb3jIX7uwQJEY1VMCQ+vk3IYzc GNSv4uxzuhIqjpUvH+HmRie9BR7KpSq4YxD09JUsN54nvGo49PQL/LXa+vnm JW7ktb9srWxUC+dsTRz0bLmxv8elx3K+FqrtH2+SvcqNk2NWSmExdZBydepC jwc31kR8NFkerAfT28Xz6tHcmM1+NT3+RCPUBRrJbGrgRgrdt6bubIaDIf7f R1u58fXlTOavIc2Q/uTT9apu+viJE8nLU83wIHJz+a1RbvynkDcRX9AC4o3z 8hMEHvSmRkK6cRu0dVZ8NhLnQelBp7RPtZ2gNX5uQdKIBwWCzn5u+9YHCXw+ zfdMeHCXxiXsJ/+C2UOZb7vP86CK1JT2g1O/4HnAik2kBQ8+eaOR+bD1FyxL x3ewO/Ng3T7GTU9Gf0OWRU/BZAAPRoYaq21VGgRCAHPkyWAeVMp+bp3pMQgm 2TtcM57w4K0WpvC66kFgZrgraxnNg1/6NJ7/shgCs2fice2pPHiJjfbyUsIf 4Om46FFSxoOEG+oSvLtHwXrDz0S0igf7O+Ws3fxHoWjbuz1uX3lw6sETVq+f o2B3g2Fc6TsPWnWd5twX9BcqeJMupP7gwQvC+xQUF8fg+snfqoHzPGinJFyq PD4BHRWWjOfkN2HztP+/L9Iz9HrSJeKpsAnN4vRD6s/OAGu57p7nuzahgqir AH/gDOwrPWgzdGATJnBe0bKamoHwTzz1rpqbMMXzv6b1klnQ/VAU/dhsEz6v J258sJqHL6l8isWhm1A/NO9cQc8S5PpXmdHmNuGNPcw9pZ8YMP14rZDf4ib0 lf44+66HAWM5mprGVzah3Kk/PWkbDOgV2nv0E4EXf7X2yiarM6JO9PJOYx5e TK3df/Z9LSP+TlPceCzHi7HG7Kx6PwjI9TU+ceESL0p5KImVTDIh46Pks2ZW vPi7IPXv6U3MOHs8g/LZlhdH7Ca9mHYzY+f3fL+wq7x4/pG2OvUWM6a0NV3d 4cmLVK3nKW/XmPHgEBtejubFQdnor2EEVtyRzr38LY4XU5wbVUGSFWn2Ah8U E3kx2CV/21s1VmT+JyWznsqLmWkSbo33WLFxTpUn5j0vLjzI/de1yIrWzDf6 vn/nxSyag4Eg3beKSHxrX/mPF7cXyF3bPseG3w+INci08mKe9Y2bfzjZcZ/j 52LvH7y434M966IqO7I088ftG+ZFA04Fd444diwcswu7/JcXZWKbzmtn03mK peRR6D9e5LlgLSf1lR3blK3dRmd56TrlNr+cYsfU53lGCYwUTDNL0c1VI6FJ IelkLRMFH/RKBacakpCjxUxjkZWC5u8O9kvZkPA6K+tuAy4KWm0LvF0ZQEKZ zedl722i4Nft+by/6D6y++DbzVl8FNzaEu36MIuEGk5neFhEKVjMFqJ9vo6E i36ZrLvFKVhyUFb60Q8SZiVtrF/cTMHw3JrofaMk5GtNGy+QpqDw01ExdhY6 H/9bGRiSpWArOT5DlkJGDza9bspOCgYTV4qrJMg4cGix5soeCmYpP0jdu5+M 0UY6FbH7Kch/oX2+To2MOlefF3w9SEGGMFxrPUHn50ez72YPU1CEyVNR14iM H14cS9+sRkEWvgXyfjMy2hbFJ57SoOB3pj9cgdZ0Pm6bjHTXouDeiWtFOk50 HzihEZx+nII1yy1xt27Q+Zs95mHrSQr2drseINP5/oDUuAdBn4IWz9glWej8 P6aidl3BkIJ3k2rGrP3I+Nw4wsH0DAVJq3eV5APJaOg8YvHoHAWHiBlBhqFk ZAs4fC7vAgW3KGYl/3xKxqLkJ/r95hTcUB4S+RZJRufiwWM8lhSseNCdyBtD xi3tynjYhoJnas8NFMSSsWMyaL+9PQWnKNGJxXFkDCT93hl1hYLHRs4FU+PJ iFv2batypmBDp9i1Vnr/7OEAsalrFGxW2SPwhz4//cxPPvFbFDx0eEJTj76+ qcsujhN3KGggW9nGHUVGnse+RDdPCmpxXUneEk7GqpSu5RQvCiYFCAUF0eN3 K9k5/Z8PBS8vP3TXpuuT7/AeWfeloEKX4oUzdP19U219cgEUlL55UzrvPhnD yXIdJkEUfNFT1GZJ9+nHtt5reBhKwXZqrJPFdTKuqjZ/yXlKQcWilaXXjmS8 7OqeyxFLwbKQlypy58m4b9fP3O3PKKhGAPVgfTKSpjHv6HMK2l088e2IFhnf ubDke72k4AUBksEzOlf4KNnlP3tFwWhZmT9qdO4wnqrNL8yioHFrN20vnVNW nZ98nM2hoMf7vnWmFRI2KM5+3JRHQXXTCzf7/pLwxaRxwc4Cen5eCymzdZNQ 25laaFtKvw8UTD1YSMLIq2mfumspaCMHuyWcSGinQCpa+k7BhxZd/XpnSagy 4Vgk0ETBfzzWHbXqJOx32lWs10HPp6x8WbwACRWdikuqBih42u3FjrT37Ejc SSv99YeCT564mUrE0O/vuHfp+igFOxj+aPTRudLjyrGyA1MUrPviVaeiyY7f HJvLs9YoWL2zlNmmlg3j5fdVfGPgwwuNaxzHM9jQeSy6YojIh5XChq39D9lQ wNGskkbiw4wrKje4D7GhhcNIVbgAH+oyWkjcfcaKq3YbXz0U+PDqFd13oRos 2LDdojpmFx8yB1ikNwuw4IuRquq8vXyYQ+PUezTMjNp2Ad8mD/HhruPSQcYB zBhpy19reYwPGz+q1JR+ZUIFG7nvOpf40OLn+GtJeSL+tJO4+tqSD63MFNpg moCBjhQeLls+3Mb4Wno0n4AjLiv6DU58OK/O+X5OjYDJHrWt+h58uLcxcsVY nxEFwxx6jKPo+xvNfSwsX4eNoswx83o+jAqTPpNdMQ9vShODyhv58F6CUNhe 5XkwrXi6U7KFDz/P9IbvfTcHBV/dnfu7+PBAk7X0YOIsXGs6MWs1zEevG2+F k/ym4c+fvyv2RH7MVmivEyONQ+Rob3wtCz/mHXkKCnxjoDHefFiexI/fTOt+ L9H+QtL0p3vjPPz4VlqThaY+AufXHhOdxfnx8XC7vnnWIDTwypNvKPOj0wPC jt8nf4LqlSsjcSr8KLAiFJk03A1vvr75WgH8WLqzgT804AcEeyg94DnKjzXK 7ZQbAx2gM7RvLdOAH1uuyEQ+nWmGInT70WTEjxwZEpNMtU0gH1dQsGTCj9q9 +0v9M/4Dsp7KTa2L/GhS/rrmDFMD1BSoTfx2oK8/kP5oWP4rHOTzqWe/yo+/ Jy483mLxGTKcqjIVXfkxWvxx5ER6JTyS0rK968aPoLiuXOtQBoue/kdT3flR nHPD6lhjMdh2fNtSd5cf1w4IDCmPF8KxIJ1fwg/5MXXH9amu8Fz4+CeoFP35 8Q33lbME2nuQPtLwzOYxP240uRDONr6DyHgej+BgfrzC0DG1Vec1sCzon8t9 wo+H/P5TrjjyCm7qPz3QHc6P9/bMq/5+kApDmS0CxGh+NJd5yvCD9wUYswjM bY/jR8s8X5pA2zP4bH6mWS+BH4/dqMsMp0bDnk/R2beS+LHq2kkZjvUwSOHv CklI4UepGxKhw3OBwOcs6vQ5jR91PbOUrkg/hAc1pjpjGfzoeOjeYoGkJ8xu SZClvOFHjb//vU2xdYXL93rZDmbz48x5Mt8OdUto6qT9Mf9Aj694V/pxZX04 ssfis18+P7Kb7wG7sR2QE5yc/KaQH1MK+V3rrFtUJUcG7rcW8+PIobCI/sUD EKa+zXy1jH7+7T1DXgeNgTHBRlWqih/TPc8fGCPagvNiOvX4V35cv59isjZ8 HfoMRpeda/jRXSwWbmz2Ar3Xcp1R9fy45Pg9yZTVD8pYr+SXNPLjYNCKZuTW EFC0eBMx2MyPE8Npz98fDofnRRPXONr5kW+xTXbVJwZ4BJUMdnfxY7DCv3VZ q0S45+KqeK6HH70ut4ibTr6Af7Xvue738eNpTZslFveXYLZtbiytnx9tnX5w aRhkgOqPW6/mRvhx73X5mQeu2fBmb4EfdZwfp5K1uwYb3oNY6LKV+iQ/ftd9 P1ltkAerGp6ST+bpejNNI2WqP4FjYgnDxyV6vKZnGbcVlkD30sbPn6v8GErb 9fr0cBl8euMdJ08UQKpwNpF9bxWw6BiJRLEI4IutkSnJ1C+gPyIdw0gSQLG/ AaILQtXwR6o+so1HAO1NKZf/nqoDSoxgmJe4AHqXDYiVtjSB2b5Rnr+bBXCT ZPjpXUIt8Kq5KMRoqwDmNRNCWK1aAbgsgmTlBRBexi9oinSAg0+Wf4uyAPLo uh3u+NcDebR7rHBYAB1fpszL3O4FxhJ931cogCL1owLfH/ZB1OK8z10tAbwU In1HdMtvqLyidk/GSACdlxrbQoMGQdSk7YaHM33+SRV7xu4xsJ5Lnx26JoA9 kfd+PK8Zh+ww92v6twRQ7XHrVsdP/0Crnuay7a4AqhJ2f4rUn4RrRxwcGx8L 4Cvz/jM3NKahVp7h8pY0AVwIFQls05kHd0ZZvboeAbzJjPdkYtZhSIPcse2X ADJueXWbTXQD9PzHLt4fEMD7VQO/YuI3YAv326v7/gqg9IS492ldBqyj7gl5 viiAWxxNdyWfYkTxA6rfr1ME8VdDh1PNYSL6u0sYNwgIYvo1R/bO20ScLmH4 uV1EEBVs+W855RLxq2bl+E+aIL78vl9URI4JnU8f49TeKYhhvcMnx7iZscLJ QEdMWxA/HLoX+SmKBeVzdrfc0hHEP593l/pUsWDkHJ9pk64gcuV0twdPsqCD R7uDn7Egqsi+L7Y5yop8AaaPpy4LYq3Jx9trw6x4t/4wRcdGEPfY7SjL5WbD YR6JuJf2ghjOz/3w5V42LI76lXHeRRBH5iue7LjHhtap1jWf7wri2eGvjgVs 7Ng4rGVA8xbEtRCFYep2djwov73rzkNBzO83epxzjB253/8dUQgUxIvG/6m6 PmTHO/N1LgEhgvgz0M4p7gU7Dii/WRoIE8TrP38R50rY8WOZM3tsjCAWXLM+ eGCOHSWZDJ7MxguiKEeF/WZuEgZq7RbWfS6ID3OUJQ7KkPDS9zkZpjRBtLzG 8mXpDAlJ3XeOOX0QRL6cvNyc1yTcd+sVZ0i+ILITHn1uLKWP5+1oelsoiGVt T1kO/kfCj8f2XpgqE8To7ByhiSkSDvRfluStEkTuuFLPQ4xk5L4X9mfXV0Fs Ncs91MJNRuvcCZfr9YJo62qjNSZLxjA98f0RjYI4NbfD0ZHun4v/6qzmNgvS fXl21EF1Mg77upe3tQkirc1B+8wpMvJJZvgudApih0w0W6UJGaG444RQjyBW jfNZ3rUgo70J6yblPvr5/1WffuRAxsiZvW1n+wXR8NBfvaFrZCwPtoy7M0SP R19gazjd741tf2oeNyKIaXsXRMLpflnoc/nWojH6ej+/Dg75k1HdfHK0e0IQ Y8ozISiYjE4r4u/WpgVx9cGTET+6P46NPHlDfJ6en36+zHa6P/2s5HEQlgRx +IO5gSfd307WZWxcXBVE/+2bPtxOoPt5284qrw1BVJMWyKx/TvebRLaAJIIQ RmTMZtxLIuO1hH26FcxCODheyGlKbycoW/H1swmh/Djbw6f08TUtTzuJHEJo f2beTTqRjPNXKxK2cAthYpXsGeFnZNxMnrqsySuENVy5YfZ0P63zUmK7Nb8Q /iH0J1Pp8bmpnfrnKySEYC/MpkSPP6Xb432aqBAWOGSpvaLra7iV6VYtLoS3 ND+2+z4i4zJv1+GRzULoarZsVOtDxm1v2IikrUKo/y5Dx82TjPra+6tlZYTw ziMjvZCbdD4asAo6ISeE/Gm5S5uukrFZpFIwSEkIT7f4fTCn88167lT36z1C mK/JSlak84+sPu3F9/1CaGXK+cSFzkdefp7yPKpCGJTT2a2/j4xZkllTimpC +PSIOXGW/r20F3fl6WsIYcitNBFuOn/tnN2v9vS4EG62+LeWx0zGcyHWLB9O CqElLKhpLZLwoWxEbYseXZ9iiPUZOt91m08bCZyh5zM1wnSdzoMB9Vn2MZeF sKp0oyw6kIR5tj8UCq2F8IY9sfisOwl/EUlzXXZCaGZi0p9uR8IDB23uUZ2F 6DrEZxY1SDj4cnN4oocQFk4+Unk6z45jD34tEb2EkKzTG7Wvjx2nLZIu2voI oemb525W39iRQWKznFKAEIrkyyldjWVHkShaRUWUEJ542HLx+n521POTmBzM EcKyK8d2GV5kwyIbMR35ESEMWK9iE/RmwUrNnuzQMSGkckrSpi1YsEbqmeDc hBB2ODq+i1VnwfZean/xvBC+7zQMO8fEgtNnqHd0mYRRo2br5XIfZpQ5Jpru KiGMZ9fmah66M2G4jDBTgZEwltq+K9c/S0BTs21p/SbCeCEuSlRAmYBbwncf 5zIVxsNUl23tQgT8sHEy9LKFMNbwu/ud7mDEljZvKtdVYdyr8NfL4AwjUh6O 7bnsL4w5p7i+axszYNivUivOT/T+A0TJ+cZVOCdYz3agRBi7GxI/ckWsguTJ rkyLcmEMTlYfPXV2FXI+zk7lfxVGKe2laO3fK9AUsv2uRYswZp/TnIf5Zdik +jQyf1wYqzUcTv7ZtgShsdZfL9FEkJOZ+etpup++ddP7moeUCFapEd6Mu8+B mUGCRNQ2EfRtONBdqTUH8qS2W3XyIsiyNi8j3TcL325ryuxXFkHNqKWCdsos EM5uecRhIIK6G0UZx+n++4bg7+P5PiIoX/5kmNFwAkxn1ub/8xXBKcJv34S1 f6DRIJw89kgE0/PPJ5el/QNeP/2VzaEiuBi7yhexNg5v5ssyA+NF8JHY6x6P t2Mw3JrIYZFL7/8CmnvlR+Fc+IXvHH9E0JUpLNHXfxCo70miDqP0/ioXgzyV Qej9L9/m2zhdn1Rex92pAbDk5mX0nRXBb2bpXp2mA+AU8GX3BqMofpcq+fPm YD94eynETFFF8XDd/Idk3l+gkdg9qEsTxdgjxF0ajX3AWvJo1xspUbw9z+d7 O7gPAlf6a+1lRbFyz+egJI4+iLwZvd6/XxSP9cQ2XNv8E145Mlq2GYiifW5r loRTFzg+fvNuj7EodlUwXU9f7YSdGefXws6K4lDIf4ZagZ2Q8yc3UtdcFIW8 BtUq33RAkYX9t+orovR6+UMviqEdGk2ad37yF8UI+VPE5rZmCLvl5S4cKIqE osBnmjebwShyR/WtEFFs5azOKRFohq5mv0t7IunxXdDLLDvXBAOnVMJfJ4ti MF9G3ei/RljUSF1KLBHF01IGBXLBdeDxKdGnqlwUhW3Iht8WaoFhVyznSJUo dsjF7xa6XAusEiGbd9WK4j2hlGdVqjUgsOSmXdVO12tvUrGHVA27X+vEDE+K YpQJ7Z35ZCXkSWlJcc6KIsvjWrh7vRIOxqq9VloQReo2/1rl5Qo44rev/M6a KDqp6Fj7kipA7xJthINExfRfOdFKUAZO/LMHlKSomDkenMU2UgDTj/9VGG2j Yj5DDM+FLQVwgzCic2c7FZ/d22D7avERPCZ6zCsVqJhoXjzePJwHj7999TdS oWLES4XKeOEPwIUVvHeAiiwlj77bXnkPYXlF8QlHqMgj1PHqUFUOxCZnv/tz jIrarYvEiTvZkO4Z13HbiIqqm6bri4TegPxshEWCCRWTB3nyrSaz4J196FjF eSoe2N+aSvieCflnHjJwWFDRxO3VBEfcK/iidFUmwYmKcrfshfk9UuF4ul1O hQsVfe+FpXH7pEC9uKXKn+tUZHU+8HA4JBlayGf1FN2pGK2TclvuUxL0Dx5x q/CjoogUz0WHt/FwJPH7C9nHVDzoqCmqtRQLz03O1YcFU3E80Px6pV4MmNW6 SF6OoOJzvYhDATKRUPxgTac2moqi1+121aaHA1X10a3d8VT8e9i3PWbfU+h6 97yOmExFF+FOzoY7oaBsL7/g8JKKATkdU+csgiFa6uPmlldUdJoYfMw7+hiM Ixtupryjot/yCrfRcT/I1T2fxPGBij6MPKeaJB8CH/uf2uv59PNhY13cKeAD Te7rNM0SKtYl2af0xN4Fpb0BJ16XU3Hd/cRokKQ7hP7jv8n/mYrfurOaGntv wURa0nPPaiqecPgyHd90HU5d2lE7WEvFr1Q+v5FlF3gtUjB3soGKVKWIXN5s J+Bo0aDlNdHz3SkxLd1uBw5BjcfF26j0Oru8S9LWCmqOmt7w7aTiOVu9/XOX L8F2huHEf91UJEe5rcpFnAf/gms1xn10faWuQXP7jeCP68ZsST8VX4+oqDqa 68JR+ccS0n+oeEmC40LJiiakDgocDxml4kyVYV+YjwowJb64vjBORa09XD9n LRXhssnOxItT9PzPaHqIOIlDxabCb19n6d/LvP7Fd8qMsLlWc1ZhkYopZxWF pMcSVb0e/CcevULFIcLLl7d6ZlR7D1/QZtigIseOuUlTKUFQXRi+ZksQQ9nU ckOagRw8e3c9oZFZDFeZflFf/DwAq3YM3w6wi+EFizvXf3xQh/NSgTPPOcTw 44t0RbVUHSjsFhRn5xHDZO6UCL3np0E4MvmYC0UMX+0ZTQ2pPAtuugrXOgXE 0MZKV1zZzBza2T49UxMRw82dQS/9NC1hX8XR6ldiYnjExXJrWZQtRLg3TW/a LIaY9TJ80vAKzO4xE7uzRQwfyysJhqu6QE7aDdfjcmI4TnzF7MZ6CzZdYnyW s1MMrWIcvA1U7oCzSNBXkV1i+Iiz93jrS0/YGZRC/XtADKcTqrLuBXtD0FFF rdMqYngxRnXDLPwBjG18cvkEYmhiY9m2PdcXMlybvzw+Kob7O24Nxms9Bnb5 i1Mz2mJoJDmle7ogCGwHR0VNT4ph5O4tTWxSobDNhOAibyiGx77NT1t0hMGL w0qi9ZfE0N8nunB9MBoqTpF8VizFcNdnUrTo1Vj4fbF/dLutGAo9a75AY4oH Ke+IQl8nMVRM3PRqWj8RUr4snaXDOzLc8BSMV02Gqvamcqe7Ypj4XuQD2+4U GBjO3P7sPl3/VEKP+45U2EI2W1ryo+thPH3ca08apOpWRL8Pp5/H4B7BU48z 4Yt5HMPvKDF0XFY6dOhdFgy5XLfliRPDKUZRkvGP17AtfNuBK0lieJ1vezWH 5Dt42RHQvu2NGBZcSh2ufZsD6ZdOC8R+FcNecSnSe/OPUO0qf7e6Rgy36eU0 zdLr47AP89B8vRh+rysIvzRWADIv83NPt4ihSsv4QuWDT/BqVNSI85cYflE+ 5T34owQyrg089VoWw9MlN/VLeSuh5kHxyps1MXQv3MOaH1wJoxGRl3sYxJE4 oNRqxFEFch+P7T7IKo7HRna+DOL4DFmrWU0zFHHk8JG3Z9/8FV4/vLHJZoc4 /uPQTTOJq4UxlQveDxXFMeZT3c3LCnX0eqoxk7xbHHcZuz8S/lwHGRZ8rX3K 4thQcZY1aK4e0uF99Lmj4igsPBJkurcRUpYmJU5dFEdNj87K/Gb6e/auI9TR QhyfRazddpJrBinbMsbHVuKYen/iC8uDZnjRFtL/1UEcv59KzP59oAUS3+9M U3MTx60dzj5Fr1sh9orjzr1PxNHgbkejSmUHdG0xTDwdLo5VcwzMfLKdINx9 iMc1ShydAxf8Op90QvRx8vSbZ+IYbDMzoWTZBRHSGbkyGfT9Z9u9tvN1Q+iv PyrUSnFc+MXkWZzUC35Gl08Q58Tx+uZljYFP/fBCt9vUalEcBWYVD9xlGoAi bSOnryvi6HtBc+3tyQGYPqz15DFBAi+7yoR2/xoA021y7RQeCaT5yvZabhqC XQvTFlvkJNCAS/pcQNAw/Iz2vqN5SQI5P8a81uX+B0thK4/TLCXQmzPg0Lzj P+ALuv6M3VYCpzz6BFVq/4H2feuyeicJlFnhxpRHE/DB7jiLsQd9vzaHwHHf SQg4yBtmHSWBbo7hliXC07C3O+mVX70EprVbn6q9NQc8O20X3zZKIGHr7A29 rDkYu7dTq6NZAlMM7N/x/pqDFKlPAzJdEvj2TsKazol54HNokagZkkCzsVqm EMkFWPYgnmBhoGFET9rT5R+L0EneV35MmIZytVL7DUNXIXp73Ov6EzRsf1Yc 4r+TgLMzR1N9TtIwfkMtM1uPgLol0/HKujRM07m72OpKQJbTxwNTDWi4oLat hpxPwBseS/aeZ2nYd8BFgxOIaNBwRmaHDQ1PN6OV0EkmfBNDpPXb0vBbp83b qatMyG75VjDGnob3OHrNc8OYsGyRhZXZiUbnrqHLs+1MqCCZN9h9nYbvuUzX RC4xI8cNvuRAbxqyNwy56DqyoC2UxR55QMP8IHX5gUA6X7A7hi0+pOFrr/uX 1F+z4J2EyvuWj2i4XtXaZjLOgiNfXc1VQml4IfZVfIo9K34R+U9s7BkN6z+x 7/95hg0lBz34XyTSMDvm1R6R62zo+VaG0ySJhr0fyPLrIWy4R8NrtTKFhpEc 2/blfmHDF1cUfsRl0nD3WnFHkgI73isLij5RQMM5oYMND8fZcbSnLHypkIZW rp2iLQQSGq/MhKYV0fDIqHdIpiAJ5fede0Qso+v9LJY2DiSMOh30MLuchmFe RvKGp0lIcCm7f7GShl+8rsQdsiZhR+a2O5++0FA2cjvnwwASqn87e9OumoZK xNGN33EkfDMU6CpYQ0PSDp7igiw6P26esb9WT0N//e/DPXRe3BVVel6uhYaG HE8UN7OS8dmH6TOdrTTcIejWqMZHRramrYZ+7TTsCFUXraWRsZcjUKe/i4Y3 xq7lcB8g43HZ0mNPuml4iUhh/3qEjHla0xrwk/59zFpL9OqQMdDb5HDcLxrG 6t//vv0iGRcSHytr99NwwMQ/3MSGjBbFJXsXBmiYt2XrjT4nMn7vmlJKHaJh UY3109IbZFRe3LLz9DANnVVeC8660/me30SWcZSGb0u6FDzuk5Fn9+Ntb//S ENofchv7ktFdr0TywjgNi9/JTd4LIOPQlSlx8gQN38xabFoMovP94y2iBZM0 7BHlLigKJWNR+hlBm2ka/rcnfHddGBllvgRQ+GdpmE4jt/z//7in/cXclXM0 ZDp6c7aK3l5nmCK7LNBQq3B+LoPethffwva/is08HKvti+Pm3vc9KQ0UUs45 rkRUUgrZX1FJJZUkQyWZIlOTSiOJytBElAbzVCQNNzNRmRLCLUrhCqWMIZff +f25nmfvs/da67vX/qxnP2feiCKmfBE2eH+NwnvdHWKVo5yez0asWc19Dzsv Cp0YU0TmNp8Tv0IppB7JHVMZ5+I5YbP302UKMtd/DddPKOJMpPo5QRCFc4/Y QX9hGo8ur3Q96E/hR5VFr6YoDZ6o59NZpylYfg/60SJGIyHvpviQD4WX/NzO EAkaR12DRSW9KSya/6tdj0cj2/HgPuv9FKKM2K9dfBrBY4Ptn+0oiO+1+HST otEpf3ZzpCUFz9NBH9ZK0ig+4+sdYEqh6XZO/cAUGnbmF1QTDCnOz581MVI0 Jhll2f7WppDZwLw1m07jlmTpmI8ahbmD28vHZ9AoOecmqjqXwsCinGKrWTS0 nNa7ywhT2L3pZz5PlsaQe5qIWa8AZfuZnKdyNIRuHN/9pEWAe/GBWdPn0nAw DLUQyhWAKs7OKJhH42mq+rm2ZAGOtPSkudM07rc7RfbeEGCT/Pb4MiUaMXZr 9PxdBbjZplFgrUxDcdNjxasWArQ94H38Pp+GjPP0Oa0QwBc5UlPVaLjZdCtv miHAa3642r2FNPgr/f52+MPHzFqPtUs0aHw4muRS8JWPNAfWd9sSGjqJ1fG6 6XwMa/wX3qbJxeNbpZTNdT6MhusfHdaiMeO6uXv/YT4+XrzYEaFNw7is2uLW Mj4EGb1bm1bRiOebZHmm8WBxrPzAAULj12ZPS9dArj6sjg8cB42Z8pamz+15 WPneMk/RiIZl53Njs9k8OI/mL3AwofG8wnN12rFJeGUUItRjQaPlq7NCzVwJ TJ/iLH/akkbdWM7jD7/EsavBYLmUFY03oWZWFkXiGHIZdNW0pTElN3pHhr04 lENtGo7Y07jyPDZx6T0x+P+j+nDCg4bzdam/s0VEYeD+ynpaEA051ZDFtaIT ZLSxc+3LizQ6pNZtdD8/TrIMJ2sevUzj2pup5rclxomy7BZecyiXT5Wk2PeT /iOTX37ISgqnMUtxskeRxB/SKNsjiTgu/9NM/3lQOkSu+kuN9MXTMNWykRxc NUQ2/NRsi0+kMZActSn3ySDJe3n0BZVKg8qbc5KfOEDiPISdGh7REBhdjZa5 2kc8S2YWuOfTGKdeiCSp/SCqi7VT6UIau0ZLWEb7O2mN2hleV0Qjzknx8bo1 3cTC846bTimNU8tKJYdcOomevIqsRCWnH0nv1kMN7WTovInY31U0Ztv8ePJl tI2k/3L76VpNQ9jNPvIx3UaY0kcl72ppuB5plm4+9pXwvHS9oz/QKCsP3Eo/ +ESKPtramjXRUJhZaNqm0UxOrD1jLPqJRsYb7TfPn38kPfIlc12+0GinXEvU 2htJUkAHf04rjamxUxRmBDYQu17+YFUbDSevI1HRS+tJXalpudY3muPVtDGl +FoSssTraUcnt7/Uwzv2udaQdbev3Y/qpsH1HgXlOu/IC6/Go0I/abTG1mop dFeSu3P2KlUMcnb+ra7FOSVEZ6maxt7fNH7nnNkcKPSS1K0f0B4epmErvtXN xqKI8I4GbFAao6G7RuHJYvc8EhO8efuL/zg9F21Ui+D4Uy9u9m6zCRryFc4Z SvnPiee7FG9fEQZl1gHyK8IeE8G3g77TxRiouN674LLoEYkb1wtIEmdwocZU xb7rAdGXlgjTn8RgqZrkWERxMmlUextZx2MwLDOx6ktXPPFefTN2v4BB3k3U JeyJIZN32j0Qmsxggc2X+1dM7pAED9Vn4ZIM9NSXNup73yQI6C9YOJXB1/0a Y4MruP74dk5ZkRSDcfWezlD9YHLo8fk6y+kMXmmUPHDdcJ5MKTP91DODwVSj NrdizZMkqWXWN39pBpX15fYuW73J6t8tvXKzGMiqhvcr9NiTJsmUPxmzGfRN zyj+FmBGjigdFF8nx6CidIGZiqMqmaarN7VZnkG+9Np8drBDP22LuOxBBQbT NU4vLivRI2udqxj+PAYJfvztPlssScupiIV3FTl/F5kbXnrlQo7f2LN8GcMg uClZQU7nCJmZtgDlLIPup1nYQp0lD4v61tv9xaDlH+kRTb1AYvxP9rbfygw6 D8wfuLgjjHz96W8brMLFM6qk786SG8RXwtSJVWVAynt9O1KjiIzCLK+/1RhE JFpb9++9RzKWthzfrM7A9tjVwxfyY4mJSbJ/uwYDyc+OJnauiaRtj3fIicUM LvXFLFV1TCWnjurenKbJIGWgMs0vPZ1kxlWmrlrGQLPW1J8NzyIbs8Of1C5n QIX473Fc9Iz8+253vssKBg2e7naSP/8mchO9NTd0GYgL/prwacknWdLZTWqr GHSkl5rUBxYS04X+/xbqM7B66qQ8TauY+O2UGf1hwPnjZzHjZWEpmev5WdTf kEHUC3i2xb4mzwOSJOXWMNjBNzo+FFFGvj/WodcaM9h8VipN7UkVMZ+y2/iO KYMcsRDDyZ9rSY+SylYtM06Pmcce86Tfk0DdXuuyLQyiN8/1YrbVkxxnP48h cwaJzWUqizoaiVJxYripNQOb9i8FEq6fSNXC4bgmGwZqfxzEftZ/Jj7hxo/3 72IQkyH2uTKuhZS7dL4NsGMQ9NeQzE76K/GWUuPnOzFYOzOT5Gu3k3zbhycW HWLg/lH++/3YbmI1nLVHKpjB4k9bnbR6BojYXnGPOyEMBiKf7PBwGCQPy7ef XBjGwK7LOFSueZAI3x2KNL7GgFUxK79TOUSS1qyoPRPJQJ05edM5c5gMXs1e 0xvPoCfthctGvzESpl6kWpPHoEmm++5OEREkrbDmnytgQOubVtsbiCDfcKBj SRGD082f3grOiKBnp3L8lRIGU7798pMdE8GGgIvztlQwOHH9Wm9MjygkPm+d Wf0Pp1+X7dlzwsSh0NXdd/ojgy0Lxlo1CsWhNej/blEzF9/+W0+v9orDnnoW EtrC4Ooly7G1ZhIo0Jbnb+5g4Bp0wUJNfBJOhLX+VznA4HqhcLLDBh6u3vJt OjnEgJGeLpvtyUNKgnS2+jCDLjFPN+MbPDTmrPMJ/sOgX/ybr0QTD8s7U/s2 irBobHhSMribj00DRu/GRFlsmebs8PMUH/smmtPTxFl8Gt//r+z//2eSljow mc/iT80xuYl6Pn4ZHOoon8piSlGp8hh3//M2SZaemMbi27PzJu47BZhnmRCn NoNF72T/15JeApi6N9pdkmFxr/usRF20AA7HvKA7m8VrzRWnRzM5fvAXzOuW ZVG7cWPxplcCpEbpNZkosFjn5xp3/IcARfHvX4zOZaFT52VlPiHAhwz3yBRF Fv1PT0laS3H8/OqehUCJxS5iJ/9rEQXFmpXLXvzFornrVtcpfQrazTUz9s9n ofev1V1djpcd+8XevVFlETDdWg4OFHalGFXZLGQRotsnWuVBwcLOv/ynOrc+ ZWmRcIyC6eyXr88tYnFtF3zenKOw9q1oqfQSFgpzqEbtSxT0AwyLkzRZLJNN 6e7leHT5Kr8CXS0WszYd9Ci9+f/3pqLcqmUsGhYwZeuiKSinimTbabMo2h+4 dNZ9ju/2rn4+sILFmayWkWVxHK/KnntyQYdF8pd93vEJFKZUF2bK6bGwqJ43 4phEQeKCcMaDVSyEruT/OpHM8fIqgwcgLOKHnIraOXto4ExKLbjxgeeb4zm7 J7Ug0XE1N77u3rNcbn77XqH4EUMWVxjNCo1EjkdlEXN5DYtDwYdvj3Lr11Wf vjtvHQvjwySdiaFQcSH/dqYxC57Vu7CkOxwP609ErjFh4TYzvSY4iuP7Qf2I xg0s7nseoupuUMhKO3XddRMLG9XUel+O/9Ps866Mm7LQNLlfF8T1C3Fy4yFX zFisbyMpY34Ubr9bdVlpK4vtK74KNfhSuB54MujZNhY9muoBclx/cpnkBphs Z6Fu1tH92o2C/9CYX7MFi5TP1R2t9hR8H+id9bRk8TTZd+kBKwqH9vmeErVi MTyoctnRjMK+mj8+C2y5+Wd79mfoULAJ0j2Ss4vFx53+vmKcXsxx4uDmPSwS 7rx+9JahYPRw9MBhexar2yLya3gU9Bx0XHkOLFSdZupO+SOA1pzjzrccWRjI f5j3+rsAShdH9ha6sNizWTkgr0qAOQYr95i7shBfH5o7nifAzGEf2w43Tm+a hW9ePhRAzHF4h6Qni7N16790Xhag1eD3xp1HWMjz5LsqDDl9Dy83+X6Uhcc9 8wjPxQLUpB9Zd/oYp//YCpI8hzsPCkMG8b4sbKsMVL/08xEzMrC89xyLbv0l c+5z53Xvoz7FoFAun94LPk9t4cHt3LYxkyssxmYcL/ldzMPhbVkNk6+x+JLc VHcmkYfAwcMhYeEs/J7piJ89wMPDlSN/IqJZtPRmGuYOT8JI4UR9QiqnbxHL 9kyu/oTVTA5++YqF18p/KyT7xRAVe8A54A2LHX3rUw5UiyH2UJWhcTmL1uXj O9IeiOGpTNhoeRWL4lFVttJJDE1WM5xr33P6chR7W/FBFPNbZQ2/trJw8ReW WZUrgsVZx+fGtbOw+7MhdHukCHTOfxxx6GARlGHk6nRYBBvnR2d0drFYsMrT 56S6CLxdFef29rJwevhsS3S0MHz1zo5k9nP1ofmDfeoxYZyX/Fp3aJBFxDO6 Om+7MG6mx14aHmaxcJ+X8x9JYcScEXN6Mcoi3V/Mfn6XEFK3OKz2HWPhrphn vqtUCFlMqYL+OBffJ1FR92OEkNevPDIxweJH5f7gvlNC+B9etJ96 "]]}, "Charting`Private`Tag#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwUW3k8lN8XHjP2dcxrNxhL9lCpVOq9SllSIQkhIXuiVVH5liJLJEkhhFIk lYqSey2V7EqSVIqEyD4z9t/9/eXzfM45z1nufd85D0PV87D9QSqFQuHyUij/ /5l51pN/hXfcpuyOzA1rzrNh7UeWzV6WP0npnovwxXjpbeUFFusUWVJrS6/F WDz5eYlw53ky6dNHHpsLbJiJElT4WJdJ805l9yWM9Ue9ryz5JpIxfgYrv0ex 4Tfx24vzn5PJ+U2ecQMX2VDjrtCa2bnrZF3YmZPK0WwYtPH4IY7KTXKg+y5v ZAwbPm3vyZvakkEGKfubicWy4WygTfe4bxZZp/jU9G0cG2bzdF/mbM0hsxU7 +QoT2NC86eoy9uc7ZCR/UtGrRDYcSLOomvLPIyMzOYB7lQ3jvRdcJ+fyyYji pI8eKWz4cc4vZUzlPhnV4bT2+U02PPFO2Wj08QPSL/SSXm4GGypca28Y2VJE Huv55VWRxYaeuoD21/cR2ceN+nv0LhtS5063TEWUkLZ6XA/GAzZs79mjNLX1 Mdl9Ztrn20M2DCsSKZ/4/IRE6TuPzzxjQ+vkfv6J7Kdk1FXhe9Yv2ZAZVuUw 7l9KzitKVtRVsiHacnJsdO4ZyTyg+Wd7HRsKfP2lNaJSTnqgpfKQb2zYiV4f Hx4oJwU5LeF6vWz44G5azd/HL0nbq/e+EINsuPPIzv1DWypI3lO+TYem2TBV 6GXqH19IToUf8LWic2DpSesjR+UQCTifOo/KcmDG0Fr5yQhEloTklzUqc2Bw K8N3YmsVGXRSxFjYgAMZGXXU8c/VZMU4ZeuLnRw4J/78fohpDTk8nmzntJcD +/7LtR3LriGLutXLtD048Lnv2duj/rVkd9YZutMRDnRZZbz+39wbMv7A+pCp NA7Mqc8K/avynuyumNhgNsqBU2nPdH/EvydFF2JO9s1x4Dbfht4PM+/JCE2l 71WCXDhM4+x5+bGerKgLGdJT50KTjTvXX45uJJNyyJ3VLlzY+mieqjXaQkq9 ETLT+MSFDFLIXcyglawrkw797zcXbtBMWR/t3Uqar16YVWRz4ZWp+5On21rJ 2o2HOEJyM9D46qeDnoVtpPdIyN0W9xl4rl7fesX+jyTl+Ienq7gzsODxC83C 6x/JqAImO1J0Fn5I20xb1viRFPXV15FQnYUavk4VcuvayZChh/aj1rOwnhZl QCE+kfot1s5vcmahzMavjJa3HaRtt7H64r45CDR8Ri0XOsj5Lx+Xnzw2B/1F xhuqV30meR8g/tUJc7DiC//F59mfyQKPLaxIOAc9T6zkZJ7uJJMYOd9dtOZh 8aPLX4MMukjgBqxteBfgEGMo3vpAF1nR6Pdrk8oC1DphvUk7pYucP1oyGLJ+ AWabiuT0znSR+uc4simhCzD5fbyPy5uvZJKwY2H3rwV4ojdx3ML1G2l5RPVN btsifLJt7M6yxG+k/t7mq/lji3D0vq0Drfobydxxa3FQYgn6hUi+qNT6ThaE Bp3esGsJuiwkR6ye/E7KbSg24m9bglkiDRckt/aQ2zx1nR+HUNCmjeGuke49 JGNiuar9eQrqDtZbPXqyhyw5sDdbOoWC5D7E9Tc+6CHzeAHBV0ZBV9NsrGLo P8me/Pkf0Tw86MKyZvGlrz/JMLGNjvrpPMiXbLs5fKSXlJvX940YpCLKHfbL r3G9pGeifO6qJSpK42V21+f1khGeg7fFpGmo7r2P8v2OXtKBhx/qmNGQtsP8 nYPr+0jeoYstPOk0NOCnVfSd5zfZ+S2vSGsPLwpIPlPZmtRPDnzNv1z3iw8F /9bpLS0eJB225S047xNCPe5fBKveD5LHth2aKA0XQrs7Ywya+gbJND3hed0M IWTS8OfUb4Uh0sjwQtrBb0KI9jifLhM9REYFe1ryHBBGaRGqm07u/0ty24/9 0AkSQVWE/M119BFyTLlj1cZ4MWScUFe5VW+E9CPLEvyKxdBd/rA+u20jZN1R kePJrWIofqbDMCBihDQKbtn9TUocOf5IeXtrYITsNNplYpApjoYe0Kfm0D8y xlkkLL9QAgmrRmn9MBkja2cifZS76ajO9Krh2a1jpMlIktHSEB1dcrq9Vsl+ jNQY3WBVP0NH1KQyi32BY+TUd+YGpqwkml0c9v2cOUbSS/+WpNlKor/dewpa qOPksH1kh2mlJHrA9SwJlhgni5z2Gh1okER+UiFlYsxxMuSuY4lnpyTq2x5b t331OCm4sa5sZlwSdb+sHHjnO072rVzzfb86AzWmaemgxnEysjRnmfVZBoot NV6x/8s4qb1r9YovMQxk2Wq2bvH3ONla+ePU2msMVCvgamW6NE4eG3uywf0e A1WcSPIvWzFBaleGNG1oYqDTyZmhezdNkK7QXkK/g4FMih+cYltPkBqVC+f6 vjNQ6e/ay8beEyTXy8zvwSgDPXSYuV+SiuMddlaGihMoKIT/ya7cCTLSeeeP WGkC6cYTL/89miBbQ6jLDzIJdLdmeb3++wnS1Nmjw1mHQN4/1n9o+DRBju2/ dvKIIYHU5iy6An5hPvbdVsvVBLq90nOoYG6ClGp9ulEPEMh15+EJC8FJstvz cObqrQRSCIiY7ZeaJE3FCm1mrQjUefEy9ZLqJKnNk380bCeBUnNShZcZTJIR fHc3PLInkMPrXEbt+klSNECr/64jgRhfShS8LCbJsX/3Xjm7EKh16rUa1WGS DDKbsEduBLpCb9DN8ZgkY56+av7iQaDytUrPdgZPkgOrXIu+eRGoz/0wOR8+ SSZFrRqM8iEQ/VLV+/uXcT0b94c1+xFow0PCYe+NSdL12zO78gAC+bQf/M6b P0mCzpFQ8yACJc+98HvyZJK0La3tCj5EoNdqwpP7Ea7HRPPa2mACDVi5nhFr niSz7+6+l4mxVGixwKuvuJ5pYZ1sjMk0SrLf4CRpLF1suAnjAGjPlOFMkmk6 AZ0nMF9qf97dGt4pMg25b7PC+arEOEahjCkyZK72TimuZ9jY6pUya4r0uCej VIbrlXNN39q4fIqsBav/2uN+tlwYaTm1YYqc/5pkFYX7DX5AumhZTZGmozvD t+N53Gq72tfuOEUCbkj9PVcCveH2Bp/3niLpM7PRaU4EGlNZM2N4ZIoUfCcv quRAIKZFzIVv53A9mlbPjXcRyCK4SywuYYp0enRq5Ds+v9sVZ9X6CzCfR33t wEYCve9tLbr2fIps9TzobLGWQFPC6mvNanG8kZn3GiMCbXd+tz3jxxQ5kP5Q uZZFoBOR8h1WI1Ok9m4dXk85At25F+jBmZ0iKRtojVckCMSdljhuLzNNCiY2 Nl2bZyB1Jc+lJfVpsiDz8oXACQbaaV56+eGKadJv+ALR9oeB8pOdbgvuwP5N Lcpb2xiotfyB9nOXaTLbScxj9xsGmu+Zf+LlN006NWQJjJYxkL1hzrvKC9Ok 0XmtyObbDHTWcdIu6Oo0WRKqepBxlYHun9naLZ+F810u7ew9z0CUxsGxYy+n ybB3rjSjg/h58lupoDc+TXLrdD4d1WCgzsSovM7FaXKg7qijLsFAvC86DC6J skmujWpBCA8DufCFb/mpxSadSicfFHdLIsE7NUE33Nmkh7iZBuWKJPL86gBp jWwS1XxgS3ylI+H0n4dCv2B/tViKdQ0dPXEJZv7oZ5Nphvo86oV0ROuKPvWS h0OythUsPj9FR3mdL1eFruWQrVmaQQkMOur/xCr4fodDlnTQt9z1E0cBrcNJ 5ae4ZM/TsbXVccKIkXSK1IrmkiGF1vWN1sLo5S7+fykpXDI751ruDSFhJNKi sj3kEZeki2S9irokhIqa7Pm0fnNJI47ulPtZQfSvvuxUiu0MyXrV+flgID8K fRPleVhrlrS9U2b/5gIVKfdt42evmiWzxyrqYndQUQNV6EEEmCU9BFTWNMhS 0TKQMH7ZeZZsbX6g3fKQB315eT0yL26WBE5LpQd6KOjSl70aemnYvyTO8kwx Ba3iytc9zpsle/gOF649Q0EJq29LwNeY3/yT3S0mBZmV3L39ZXSWRLvSBFTe LcJ/zX6bPeZxfDCflXHwIkwf0e3vF5wjs++nmTbILMJp3UfLp1TnSJSz8+vt oAV4P/9FhbjDHAm8nvxXoTcPHWtPeVz3mCMph9cFwB9zkNa7gZd5CNs/Jo2c vz4H3Vhou84lbDc54ezPPwcl0+u6tpTNkZH/UjMiFmdgZXns2fpajE3XD+6o moGBnTZqdm0Yl8Yuyl6agW+k2/zdh3D84xrzEukZeMT4mthvNsa+DJ64Hi5U 2b3ncSBtnqScck4/+ZALTyV94YYx50nkV87N3MGFmo/SM5a0sX3+kGYviws/ NrmBS6sx9uvis2NzYOSwSp/oZuzvoT083MSBy0V+RV/bie2rIH/FPQ7s0snT U9g3T4K38S41Fzgw2tKnJdsX+y+3rRHw5MCfF4dkiiOx/d31EJdlHHglr+il cQK2N3imhQpz4IaaYPdXNzEudL31eRzrj59G1M13MX/o5Kmkr2x4nTKZX/cE x4vvEMt+x4abVZ5Z7YLzZKRE5rzQczYc3Xhy5FMD9j9ytqoN64sM13VXXTv/ X3/iaEYuG1qFzxn39mH+D9ZtNzBm33zd6T+O491uC03ms2Fu2bmIsQXsH5xW XoT1iO1nM9ZJ4QUS9My2VT9mw4VpWu2CzAKJPj8lVr3C+kHqrW+UOsbGzvS5 t2y4d1WMiIjRAkm5dVdX7hMb8tpbP7pqivHkQmr0bzZ8HCK6W84K84UO7dvG ZcPGW8Sph47Yfnp34koJDuyvVcja7I35vnuxmrU5kDKq+uZzKMZ/vlyV2sqB CvI6f4POYbxGR5fHmwONtxhJUhMWyMh226krFzlw16G1a2/cwji9FJXd58Co qq0Xqp5h/iN//quf4cDbf23uO9bg+E2Ws3eXcWGZtEPL31aMT7edEXTgwhF/ T0WZYRw/v2G3WRkXCqb4mxXOYFzleFLkHxeqVYb4AoFFEtT/tQGaM9CRce5p gNoiifgTzjVlzsAQ00tflgwXSUqTl6LstxkY65OwlLIR44wNAw+VZyF8mb4d OmEckx6XWzALtb3KeonERTJSoTqsrmMObk6AQvczMP9fJ/9UvK+7vnhruOkB xtEr6cGn5+FVkU/hfm8wTp+vlNZcgLNPx4nXc4ska2XIgY0pi1DqO3edvdAS yXqr8MV2ahEaCFI8/shgPMU/wXJcgl6u4kWSK5fIEJP7Ir4SFNTIq2fu47dE gu8ZVek/Kej2Hu9jEp+wPSn+qt89Kio7F3gr79cS6RHFkvz8i4o+3j+C1o0t kWN2KumNyjTEew7wP+GjAI/v+g35t2jI5ONO+24WBUSaDGT0Z/KinPDAIaO9 FDBWGitKfcyPjJAQN9qNAoxyZOJvjPIjxFvA98OLApKGQqXXGwignoQ+VkII BaD1R6qSCgWQcrbb3sHLFED/6XZrLF8Q3ardVZtTgf3zyxYErgsjXaF/bdxq Cgg5K7CF94MwKt8R/2PXe5zPdd+71+IiqLOjbnbhE67n/UCFY7QIkhk0W+Ey SgG292si7x0TRclixrcZajwgSf6/A+tMxZGa/YdCf20eAKQ5iXJHxdHj1JBy ZMADeuZyBU/cF0etKg/bgzfwAHSq9NVtKQkkvlJTpMEB46JzaFefBLp9olZO bR8PoBd+vustQkfLX3lqnjrAAwStdMIdNOjIxjzLTCuYB6T9beex3ENHsY5y YReieYAcT0jpvqd0pJD+/GJXAg8o8LzZLFZPR/d/OFxbkcIDyv64+Pv34P3b 72rxj2weMFCtn7gkIon4w4V/b3jJA2LOf8z/7C6JzmfN200N8wCT/piVupOS yNaoLFRvkgeU7DQ695TGQMpVR696zvCATo/cpB/48/Tlr6HWVj4qiNRqOKu8 ioEmln3Z9VCZCrLtUp8aHGIg9DzlcJ8GFcT03pB7c5qBrljYJirqYX+1PuH5 aAbS9X/XfHkt9n/nJrE9h4E8i57t8LGlAqfN/84HtjCQ0cbQQ5mOVCCYt1+A t4uBFpv0E9pdqSDMxO29aR8D3RrNbdzsTwW2R+J9EjkM5Be5f/jUYSooeW16 4T6FQGskFUUfH6cCP4q1h7cQgT6sTN6ucp4K6Bn22q/lCZRdsyPQMQbn8xKL 3aeK9zMHobiEK1RQx3f8Zro2gUx/1z6oTaGCgv4POWfwfi18IrJ+7hYVyBXd meJZg/dlftOhlTm4n6+nBrVN8X5+gyMUcI8KPDaMfpswI5BZebBV51MqGCiN dA61IZC4ta6/xEscrzhWpmlHoO6u3zHbEBUY3Q2ti9xDoAeBOQVn3lKB9rQO NdKZQGHzrnWljVQwTNz7rYH36W0JcgN/P1CB1K23nMN4f5RSbhdQ/4LtBenV B/B++as4UcvlBxW0vnf4NHuQQCXkdourv6nA9LFq7Qa8n55t5fet+0sFvINy 2svw/mpzoPrS0jgVlHkrZb0IxHpg4szdNVwqyKPWNkzifXfg/Lq3hxapIGPB ZE8X3oefE9O/83hpIMZ22Z9AvC9H5ZXwdQvTgDE9ZcV9jO1XBy0jJGnA4fXn gWSMWW+1tlrLYnz18BsdjP859nr/p0QDfu+HL/x/X6/4czuqTJ0Ghsc/9x3A +WLDXPJGdWig1Di1iBfX4yQkU6tpRAMZD3fm7vUnkOattl63NZhPfLWLhy/e Z3UTaNdNaaDP1yJEFfdb/cpSvXEzDdho+5Xf8CRQkg3vFpoVDTg1Mudq9hPI /Rv0XL+LBtLWHZi/i/dt/eDw86F7aGC+5OZFMzzv2cU1dwr20YBJe5RHCj6P usSJqh8HcL+Vy52y8Xmlsop/yvjRQPaK7yY+O7D+euzPszOYBiw/01v7LQlE +dgDKk7TQK1wrJsiieczWJlz+j8a6N5TX+OyjkBClEzquhga6DRed95mFdZP y51rn12ngaK4nI3bNQl0Y8vaZccyaEBOM8bJRQXv+y7Sl1bmYr4AWwEW3seX RbdZPCrB8ZmZvh8F8X3JfFRw6AUNhMR1barB992gNEFIv5IGKhy2TB/iYv35 06qhoAHPw5tnN7efgaw3VO+8008Dx/wFTZYQAzXbZT/yGKGBpEZz/77nDLTb 7yxdZQr3+8lOP6GIgVyvr/+QzsMLeFfZvV1+g4GCR5/suc7kBXlixd/f+zPQ tdxc1xh7XuBwx/3mAT4Gknv53+ttzhjfOp9P5UqijNb9ynwevGBs/7qcsCFJ dHdBsee/Q7wg8ptf4Z9mSVS2N8UrPIYXVGxyfDp6HetzkYsBwZW8QJupuOOq kiTSPOYT5qDLB+rUdc3uK+H34fofu7OM+EBF9ptvpuJ0ZExxMhxawwdK+D7P xy5IoM3xVv3ntvCB7JaWTSFQArnn6TsUuvIBikzotYObJVBq+4QhNZEP2P7r lhzdKo74Vp/782iSD2T8epQTbC2KROc41bMzfKDsYYn9F11RxKgKub2Vwg9Y xsaiO0REEWuH556vovwgI//AA/tGEWR6cGsNvyY/aHTrCP67UwQduy6S5ebE D9IWNzeNOQqjvukbjiKv+YF+zzIATwuiO2arjn6r4Qcphy6lBe0TRPsTmhMf 1fODspToK+tMBVGXBt/73Z38YOx+0vyqRQHUtvvIhoxJftBjs+/nswsCqPKx DWu5rgBodzScML3Oj24c4hnaeUMAmCec/mTbzoscyjP4VW8LgLSzHUaJ5byI wWeiPpknAE5M6KDp27zoSkaw640nAsC28gfNNIAXRTV8bf7RJAAUNtlHlVB5 UYjO86chvILAdkG82mMDDVn/DjiTHCoI6O/uq3k08aBtZ9SLzMOwfYxbtqWM B22W7u5inxUEZZ9f/d6Zy4PWb91hsi9eEFBkFd9/PcWDdPMNJ9XvCYKpS3mL Tdo8SOTglN+zbkFQq+a1l/cKBQkuFN3w7RUEafPBFs7hFMR7/eBb+SFBYLJ5 RU67HwXN13aon+UIgmSdZONN5hQ0rFH+fRtDCLSf4w8unVmCjX1nHDothABT 7Wj5pqFFWBex5kLsTiFwbP9+v9vvF2Gt1Ohj0z1CIKLSu9ji/iKsMPeQyPHE 8TYfmCf8F2FR3uZ6/zNCQCMwxMR0ZAEmeAuAuSdCwCZSfsSAugB39iXpKSsL Aynvfg81jznYqNfX7qohDDSGNwl2Wc3B7UfXnk3XFQaN33Q3N6yag5bU761y a4XBfLBikbMg3sdYeicIW2HQvteXoVo6C1e7vkGC54VBX/FVDyOZWViaKxdg ESMMRJ8urwygzcKVfwOJS1eEQeSNe8+/js1Ag9MMH1q6MBjuVkcejTNQO22/ yOJTYRCTVmYycXEGMttn9kz+FgYlOoO3RWgz8JbijqUVw8Kg6Gh70q1JLpT3 yi4ImRAGTjduOLn1caHMxLa5kUVhECKdWnXmLRfS6SnZA7IiIIp5KXRZAhde 2fvHSktZBEw5W8bsPMeFYlnrJw9qiACKZ6z+g1AuFDb4ubXXSARoo83nuI5c SLMx+PvNSgRkCAecfKrOheev/ZfCtBUBY/ZeIm6yXEj52r5xn6MIaPf7IWci woXz/uFJnZ4438EitfOTHMiOrlv9MVwEuNJ3p3i+5cChGs/IuocioPvw1mUb jnOgytXOgCulIqDn9y5RrUAOdHDfucfhlQgwtblA236AAyu563R76kRAWgZv 1vqdHJi8XLKd0ysCWGqfJZ7pcuC72UuVr4dEgMnRhRk3NQ6cfzdfcGFcBAyf ZM5tVOBAH8+BMxJLIqBia3nLnf/rpxtQS0tBFMipNlXOj7BhiPdqxghLFDSe dXPe94cN764onH+iJQqKXv1aNdbDhvTG1LZNq0WBcXihRUU7G269KVrBayoK wnYiu8lmNjztc/5u/WZRoO98aKPHezbsowSHO9qKgooLOw58rWRD+ebeg8y9 oiBFrjZ4sJwNd6Y72/5yEwWie10Elz9jw7LVW5cFB4qC7N5rSQ5FbDhCfSVh fATXYz/tZFLAhmqtRrMzYdhfaNLDLo8N4wOYLRcviYIyvcODaplsWLU2uXx7 As7P1Lf8ehPrNV7BPMkUUZAUR82tS2VDvQ9nrny+JQr6Hp8eGrrGhh5Zk2GZ OaKg2+yhxOarWC8G+Xt5FYiC+OAtvM1X2LB+3Y8dOo8w/nvi5ZV4Nlzi32My +kwUsAYkl0XFsqFxe73aswpRoMF3eG1xDBv65wCx8BpRwNx26rdoNBveDn7O AfWiYGC+UD37Iht+3KD/i79NFERpbbVzimJDQaE7jY2f8fwG/TI3XGDDjR2y L5K/iwJXY7Og3efZ8EhuQo7Tb9z/iarKrP/YsCCEFq88LArAm6BUFsbfNp46 0TeBsbDj9KdINmSIjHo8mMH9rGB9hxhbdnpvD6GIgcZdi7u/Y3wmv2v1GgEx YFr11GUFjn9yxJY1LyYGTKxS2GUY/yHfCldLiYFI7Sj94zg/U8x0OlpRDNCN uDw+uD67rsc/dqiJAamW6Yg4XP+le1r1hI4YKFAk8n7j/l4dyyz9Yohxx4mz x3D/Y2ZEVtYaMRAT0EmYXGbDZRKXLx/cKAbA73NBRnFs6NK9eFTPXAxQRrZe dUtgw8T7x9zHrcXA2KNrcTCRDWtPDFm+sBMDPc2eBx2T2dBAskNpy34xkLdx 4y+1NDbsT+g/f/2gGCipLFnDSmfDTGHOnz+BYkCjkajefpsNRXnlnsSHiQHz mHP3lmO9XhupLfvjrBgIGb0g24fvU/iCScSKi9ifcnioDt+3Ibbzto6rYiCl 6NagEr6Pd44GFGqniQHX4+sNr+D76jx2mh5+WwwUtZ0VXo7vc91gepdKoRiY P+1Qzn7Hhvnd34L9a8WALY/JtVff2NDV+d/HV/VioO6MmPKdXjaU6lg0EW/D /S0olr0YZMPzLSq0p9/EwPCWy+4hbHwfqw/cmGeLAabbQqA8gwPlyCPzOxew 3Y5+8LQ8B7a8On8ghyYOMo6v4hFR5cBNz3L1ttHFwYD06mOvjDiQWfAbJuqI g+xPnOv77DmwXYOt8ctQHMitTZ7esI8D43L4Y43XiAPR7+H5Nt4cOHtLy+HL ZnGQF6vvsHSCAzsT/AfUXMWBByfhWtFtDkwSPr3juKc4oGick2fc50CL6Ngn 7/zEQRHV5WL2Uw58HlkYEXRcHACLnYOr33PgtaMj9OdXMJ9xqsJTNgdajy0c F7wuDqJuSIslUrmQekj8q0u6OEgLP6+RKc6FIT6G+Uv3cHxVpaOtFhfudA5d Z1UlDkw064dl9uH3Lzl9oHtSHLTv0WJZNHJhmJm24PNZzF9cZJDRzYX9W/YV J/JIAKcTU0KGI1xYbVk1u1lCAgDa7KK4xAw8bZ9w7b6uBAh6fPfX6z0z8O/B ZW9OHJAAnRJOjYKjM9DFzynQ1k8C+NlVvHPAn0d1AXGSuoclQNT3RsVfsrMw 7/C427cICZAS7FFRZTYLXU+9Zm9JkwCRRylH09NmYWP8Hm3JFglgiTQZ/+zn 4PrEmOahTxLAWOspX1DgHCy4+upYbbcEsN2yoGEYNQejUlWrTg5JAHPpwZ6L z+egcitbf5RKBykpqUmHlOdhx5fqN3uU6cB0VrJm+dw8tBhx4ajtoQNunchq nuFFeFvqwsdzTnRQQHdjcUSX4NSGwkfd++igrCuybq3BEsyOnfNN9aQD18Pt ZrdCl+CsVkanUAgd1OmGuA3NLcEiz2/lY7F00N3549GxRAqid+6PqER0wOxN 0vzdwoN8lqKdFGvpILtQfZ78zYMqNEuMw97RQcX2RZOaWR7kf5wysqKZDiLq 9bV3aFJRNSPHLf8rHRz7JHkn5RwVHdvxa1M8G9e/Km8IrqOhzmpvHhd9SVBi +lTRupEXjZl1KZwxlMT6yVhhvo8XCVTtMs5eKQnkFj/ItS7wojVwvW+/iSSo vaZ595shH0p5RW86slUS2Bx7eDfuOh/aVVqRFucuCSinwv8Svvzobb6U0esk SRDTHlYbqyqInsXUurOmcfxlnjrvQRFUYN0gF82VBH7q/+0/iPfZW6IfPozM SQJ6P2kTulwURSb92PaKygAal9je90JFkU3arIEjnQGGDbcdCp0VRb/uGS3F 6TEA+NbLnyoqjsTfZWRxDjBApPNk/nlpOuK5nOvsfpABNhOfHbU06WjK+gHx xo8BQv7dIAfW0NGX5hfRyYcZYMwGnfJwoqO8jg+Hl59hACc3hdBzt+hofb8g 8ErDfDHuZfcVJNHyAonZ9+kMoJ2YWrFeVxKxAmRKjbIYoFOv81HxOknE909d ezGfATK+1Bze4CSJWqc30W8+ZYD57VsdGq9JIh++4z3NzQww8GjpTz+NgRRU 3n+ea8P16PuY7KBj/WOi1KL9iQG4WZFDcUwGWhP05vX5rwyQF2TNvWLMQPwf pdPXDDBAWdOg0TVPBno57J/s9ZcB2qGvSN4hrIf4Ky8n/WMAv9LCTZfCGKhj nU/Y0BSub7hY5VUCA+VnP99zm4cAfq0WNU3PGMjppfCOBl4CpP1K2G8LGUi0 3d2cK0AAXjsj3cw6BjomILDKXpwAzEWvR1e7GEhbdZ/uOUns7zqevraXgbrX P1ItkiJACvqjkPeXgcyD99L5FQkwdmd6ZdMcA3GjCwVWKROgdPXJhWgagYpy lhb3qxKg23X7az4RAkl9ujdSrkWAkoeRkdvkCdS3gVt/yJgA7Z/DHJtXEiht j031rbWYb2l0MNuEQDaHs8vfrSdAjLtugf4mrG8vT5VMbSRAa+f8rZAtBCq9 Y1mgaobrkyhqDsT6168iI2unOQEqrPntlbA+ZnaMpYZbEKAx5syaKKyfo4Ru Xvy0gwBlfS4ngrHeNlEfiaDaEcBorIY6hvX4sKnZMUMHAnDbo+zVPQiU7Xg9 0HUvAYaDmy4KeBHIIWTQ87ILAQSN6Cgd633B2I0uz91wfWNM7R++BKrIvWrX 60EAp7YNA63+BAp5/duS7o3tBpYGIYEE0vi8Dmz0JUDP7Qa9iiACdY4lrA0I IIDNopxM6SECxQv/MrhxCPtH+mruDSYQ0FijWRuC5/V+5GYexlMbY5XGjxIg W2jhcTrGBXu/SymfxOcnxyzdgLFr6ErR7adxvQlqQxcwHz3uEi3sDO6/a/ed ozhfbV7XbF4kAbztThsK43rCKg0m2i7gfLrUwW24Xv3O84OLl7D9tJSeDu6n Z7yjRy+WAKIyTxxLvAmUIqLX6ZRAgPiDzW1fDxDIctm5lotJBChgBQgUuhNo ftPHt0+uESBo4qGv0j4ClThpVf5IJUASD5/fyr0E8joS/kz0FgE8nNdeGLQn 0JqV35/pZBIAdaBol50EEp4Az7dlE8DSeGp/iBWBvj3Ofe6Vi8/jzI9MXXPM F8r/IvIuAQbM+zpj8H24sML/ReZ9Ash9aX4Yi++L43jDi5dF2N9xpNIQ36f5 kKtlU0/wvK/QN3hqEKjFaKpM8jnO7ycgMMok0J0xx3KDcgLY6m1pU5ImkFUI 86UfJADLa72XBy+BUg/fe9XdQADKqkP9R78zkL+hcMVMMwEin8M+4XYGMh0N qpD5gPtLWB6z+T0D9QavfG3bie+jZm/ctScMZBT8urK2D9er45FVEclANAMW /PkHn5/Hf4+djuLndeQ8XBzC/ccdfXb9IANFHLJEJuO4ftWkTZOWDPQ+6GNV 0QJ+HsxKsjeLMFCG/prq9xQpYNL6yKl3VhKFDKdV99OkwNg1+2CRIUkkE+Re wxKWAnSJa6vN3kkiz8DB2hQZKWBZeDbH7owkmvdfehdhKAWcBlrbbnTSUYuO Z93NlVIANBBnwqvp6M5gbd3z1VLASLusSqSIjqz8Y9+PbZDC/cyYrDlLR6l+ 0g3elji/7txQmzIdGfrqNdscwPGSlvKn8sTRd3+Vww+9cT039lp4BYij+CCC Lu4nBXrOnH360lAcDYbO2bUES4HsnDsC1WViKDei4ZNdhBSwXfv66sNaUSSb HPjN8Qbmu5NzXK1OGC1VFA57NGE+lvGpmVx+VAyzEqpapUAkc+M6Ty9+5Fp9 zUCtHfsPj/2ZUONH5e/CQ3q7cP/9Vmdy7/Chox+2Tx0cwHbREO/+PF7058/f uQCaNMj+KrxD7SUVpQ79yGjglwatIjo5zWepyHzk40Z9YWlgJD19hcecinIm Xp0boUuDMXeZ94xWHrRvIY4WoiwNWPJOjy+NUlALQ1/k+DqMfy8UnclZhJsO HRpMN5XG9W90PmWxCIvfFb+rJqUBRW8sbeHfArwSsSKKvg3jhfC71ZsXoE3/ moVCe2mAon4IGizOwQoQ9vXDHhxPKvS5PZ6D+unl5TNO2D/hc5GzzxwUsTU9 YbEf4w3mn9s/zcL6crPRX4HSINJadPpxwwxcL3WhSegw5uP3dVK4MgMfBNcW Gh3B/hdnzOLsZ+BldQu/s2EY29kk3vnJhdwzMdvyw3F89JYrjkVc6Nf5XqPx LMb3mZYGp7jQMsHmp/xFXE+6WaynPBeW/UmAIAZjtmpkwzAHam1uyfSNw/6x dsKh1RyYmkGPuHIF2y28Z51ucSA/x87l2VVs/9fPiTnGgSfsrpl0p+D88OI5 fjsO7C9sl6GlYXu+8a8OQw505JeZ1knH8eovkaYMB77x2PvR9jbGgmnXJHk5 0PhV2uOTObg/H7ktblNsmCfdlXg7D+O77tVCWB9LhSgGv7mH8bzVB5luNoyq d7UZfoCxG+SJ+siGUxq3dYlinP80+6FtExt6nfshuP4xtr99T43A+vjDF9Yf j1JcT6TQHG8dG2429nwT/QLjW20eQxg/uZKbW/wS+6f8atJtxPp3sO+/T69x fVoLhbVtbJi8RdNjHmH+l2D18y9syHPbd5N6LcaZ8ccWsN4I4RYwrd9hPN67 NW2MDXvsh2ZD6jFe1+4YtcSGtg/1vtxownyx3zUhnQORwKEXla04/9ZegW0a HGjkWXz990fs75ikLLOeA7MrRo+Kfsb1DLR56mN9QZddYb+q6//nsTX7YhAH ngs9YuTy7f/zeXRC+TIH/mt4Kv5fD+Z3OuoyeY8D3TWnh+/1Yhwhep2C9cKm ryfvTw/i+ECZA6WSXFi8ujyaOYLtbt5P7ddxoVLS7MEtYzi/y9Yfcl5cOG9+ Ru0qG2PJxIvCr7kwKKuSUjaD4/1fn9HH+3/3zNL37/PYvkrJxktlBr4qPp+u T5MBiOdc5ezlGchvs0fhBr8MALWuVax3M9BuUOsmj7AMoKzYy7nNPwv/qDel dtCx//5teZfiZyFxUzY5UlkGRGrZq+o9nYPua4bof1Vx/ME/G02p8/D+x4rE PcswPurM9Nk9D0lxzwRdfezvl6v4E+/vgReKYtrXYb5rgqtOeC/C56xzAuRG jCfVMm1rFiFPpd2l+wBjj7U1M+pL8AaXfeGshQzwWGq9mDS0BGsOmZ3T3oP5 XRUtv7yhIEWnjuMRITKANahVppxCRT7TBVP9R3G+zurGdx+o6HFy+FG7k9g+ oCE2JklDFk2sUM2zOD6PpOZcpaGjmwODWuNkgK1Y3dmX13lRgz7FS+OeDOix 9nG79oAfhfPo2jZ+kwFGyy8ZXv8sjPrNRTo1f2L+fw3bM2RFkG3M8P7/+nC9 p1dF7N4rgjQkHh1e81cGjOnZPXj9SQQ1Mo0Ts7k4vvzQOLtJFCmbbGo+RsgC yrLy91P3xFFMuIpji4wsYHnsdnrbI44mKinfdRRkQfYMbyRFXgK921oz8p0l C4DR4ZmsaAkUsttSzMpAFsixpiyuG9BRdbC9jZKVLBizOL6NNUlH+k9WtZ+0 kQUme+xv8gpLotRpKdcPuzCfwC6xSyxJFBjxOTDaEcefy9RytZFEUrGuceNe skBQ2yVwfZYkOtu0kbDxlQVhgv5lw08k0QBdJf1ugCzgdr+aMX4riV7f+Plg XyjOx+S5E/UX79f5PvVvzuJ8X+uE6CsYqHXAwp51Hvdj9UTrgBkDrdfX6Tp9 Ece35E9usWMgiad/Bw3jZUHr46xtrw8z0Gl2Y2hsIs7vaWy2+ywD9a0rnulL xvldXrWeimegMhQidOumLLDcfUc47B4DqfHaX53KwPPYwn9mVykDxVuskt+V jXGXjtQLxEAHmqe1ee/JAidQWLKmk4GEu09bBpfKgrTZsPoZHrzvnLwvlvgC +/O/z38uTKADjM4Pj17KgpjHbwUJgkBllqvdxpEsGPAlnAvV8H7c66XGqMXn lf+t9Y8OgSTOJf9Z+U4WlKjL/641IpDPs9HQY02yoHN5A+m5kUDJtsprr7fi eVTHmqvj/fj1X5v5Zx9lAb1LzvMS3o8HLoVXdXTIAm1tLn883o+l1B5c4nzB +auz7xnjfYx83bld7pssCKEerIx0JFCAk4Dkuh5ZULrGsSHEBe9Dk6s7nHtl gelyHQc+vO9VXfFOP90vCyquK/RtwvvgsM41j/RBWSC6+aOIMt4X5d5ULasY lgU922wO5P7/+2geY0Pdo7KAl/L0XIsfgYLnlEsWJvB5ztkI5AYQ6FbqjuPK bDzvtn2ZynhffbMiYj05IwvqflKGN+N9dqzxwdL+eVyPmOodOt53mX5faiOX 8Pm6WB6NwdiSJhibQ5UDnVamRoUYH729Zlc1nxwAxp+44RjfXndQqldQDqT9 97J0DvPVt1/7QhOVA4I/LivqYcw+XH1bQ0IOOKxV/yOM86uKjHttZWC7RdrH 9P//vfKuio6PtBzWz8ys77j+MLOd/y7JyYGkg5NC7bi/vO6Ip/cU5QB9wLMj AvffcrIwrE5ZDpTGZ9d9wfOZZXRtHFSVA/o3qu/+xfPTLBakCS+TA1GPHpk8 xfuyndXaOl1tOSD3TdxyhROBIvoOJmzXkwMaKWuzfRwI9FGhRjZhBcZ+jh6z 2wm0+Gy8+6GxHGhX+OHjYkEgXTvWnea1ckBq+drJY5sJFBl9Rp++SQ5ohzCH utdiPaZWNG5khvkHty/q4f348+uu53bmcsDjZchfE30CGUytNbtmLQfKNL6V JKoQyCXRh790B57X/pENX+UIdFH3ekO7rRyIOOHDNyBJoG6PiT0ye+VA5Iqr NZZY78U2FQXc9JIDppa+OiTWi8/9vhq+9MHzsEn/VoT15E+a8HSXP54fr0XN rzYGMlnve44ZguM3PLr3AOvR33dVU7Ii5ICrRO3lmjQGGo76OUOLlAPMqgc7 irCenfDM2e93Ac+rZG/Hvv9//05FVW9FLM53p+0VEYj19Q1WdfUNORCfQEbw r2cg22iVsd9P5EAGf6jIVLMkqvBVstEfxOdxyqv+63c6qtn67XHSMJ4fJS5f qIWO6tUzZadH8Tyq9zBVIR19/sHsfc3G519NNaVn0dHEXubpXbzyYB7pu/G7 05G2pWLBERV5ELmk0sf/RAKlaMvzlu+RB35e/DseJIkhV3fNe71O8qD2Ef1F bogY0khZZS3uKg/qnH5dz7QVQ6VLO5K8PLG/yifvVLoYau84zxQ/LA+M2lLP PksSRcTFYWOvGHkgp5S50z9ZBCX/hAfFXskD7ZpTvsfyhJCLbJOgSaU8CDrw h8/tkhBS29FV6FklDxpD3r9x9RNCT8qmxl+8w/mHyg/m6guhD4k6Zz3b5QEy qUVOzwWR5KZrqS9G5IG3qRdR3iyAkm75vDvAUgAhPlfCLkvzo5Mnzh+NUFcA 9BzWxZg5PuRuf1vlhqYC0G8/b3jvJx/SF+442aivALR9XOjmxXzo/amt2mvX KYBuXYtUihUfojprXBa1VwDG3YqTeVG86LjsL+sXFxSA8O9syjEZGnKdXGC3 XVIARUc9tKsoNGTeIp87fFkBaIj0vDD6S0WMaLs51SQFcOzVpOBJREXFbFQY n4Hr8ypZlh1ERQOfskQ9nymAW99nb+xv4EEuKW7Non8UQHLv/JmddyiI+VRY MXBIAe/DAyb7EynoR9sL3/cjCoB1aHggNYKCvCUYPJemsJ3kbTi9l4KCY9+u WuJRBMKjsROSEhR0PtLw5jhTEcTML3/fLLwEzbO6f+9iKQJtItnrxeAiFKi8 vLJYXRFkd/66O1S3COPnehsCdBXBlHLDZqOYRZh6Im2xd60iGC7lsVkhvAjv B/F4d9grAtGlZdc6FBdgUFxxibGjIpjfWM3ZsTQPDR7sW0h2VgS165MtRHvn 4ZM/z1J3eWB7zLLHroXzsMIz4H3dIUUQ5BbVs5Wch61OHw1exSgCFlinSTs2 B5NPRobLxyuCkKZfUo375uCe1OV1JxMVAf2/fuHOLXOw62P0AeNUXF+6hXSZ 1Bzs22ma8jBXERhPo76r5bOQa54/k1WpCAYOt/CdlJiFEa+yLtRWKYLS9n0S hfMzkLLylthgrSJg0n5qywzNQAGVRNWVDYpAUGFlU9KbGSgzE2ZV+1kRxO/m ljDOzcBVD21uDowpgva/GR6seS58rm6hLjaF69/okPRomAvX3zJ7uIKD/WN+ jB/5xoWbo9dUnV7A/d49lnEdcqHtAdagqDATDCdfs+O/xIXB0lMmK9SZoPVI xhlHJhdOxP2r3qPJBJENqU40Ohcepw7anNZhgqAPTYa/aFwYMfrNo8aQCUqF V+5ZjfVK3Pt3MXtMmSClvVDZAHKgOKhmnCaZwCmFEeFbyoHJzysybm9mArlF vd62+xx4K/dxyR9LzCffv2/ddQ4sOJPeeWoPE/g9/Te4K5gD9aeue952YoIk 919R4gc5sCQgabh6HxN0mrN3LOzjwBd7L1JEPZmg6H0bLdCaA9+uOKx9Oxjb eeS2RulwoHWB/5PqUNzfBp3rVaoc2KTsbfrnGBOEqAjZGihwYLuIs61ROBOU vZgpvC7Cgb2/N4dVRzNBVLx1+k2sHzZnNd/RjWMCk9aRR/WDbJjt5NKUfAXb u8RKV2K94d4QquZ1nQls3vynfa+DDV9HLdg0pDFBBqHk/7SVDZmbLp9clcEE EW2169j1bNhVkt1Iy2WCnnbaShXEhusC9DmBd5mgICnIgO8VG6apl6m232eC mK0XvVWfs6FjasuJvBImCBN4uny+iA2f7dqXI1qK83suv/WyAOsxoT8Nx15g fqQ2WZyH9VX4ImtrJROMlWWor8tkwxWrY7c/rGKCeRfVL8032TDpn/QJ6TdM MLVLde2tVDYcvZeTfaYOx0uKG6RfY8OdB5Y3/G5gAkGhkeK2JDZ8qFA+vaOF CWotqzWXX2FD0XZz1vMPTECxMFUti2PDwIRWa+UOJnBlBeIXGhvWb3M9fukL 7qdgLCA4mg11KANZ/7qZIK+Zp/TmRTaMKT9a79jDBMaDPr6zF9jwz5Glqcpe JjBfCr+QdJ4Nt+nHqWj9YYIK4RUCrv+xYf5vGevEIXxf1ghPuEayIW/WnWOc ESaQkmaZXzuH9aWTQdb+cVxvp8ri4lk2rJZ8+f7dFMant6tmY6zasHXKkMsE zKFTj05gHBnVppw2xwQahrKF5zH+sdHNirKE7+slDdlajDdxBo76UZWAxlkT znrMn1ly7HYrnxJgCZ7b9QfjeX/KexMhJVAaW67xHtezTz1+MltUCQwPboro wfW+7JZVFqIrgZT4uX3LcX/yqbmWoYQS6NkXWv8oig3Ddhke/SKjBNJev2j2 vcSGnwVfZZopKAGPy+Ehe2LYcE31trr7Sjieu/giLJYNr4d/mJBUVQIlSfLF bfFYXxu7K53WUALZgiauHolYL987fsRaTwlw85hCKtfZUPIAT+YTAyWQMZGn tCsN62GFhHcKK5VAjOwz6WfpbGiQkMf8a6IEImLtf6nlsmHCNiOL3aZKwLTc vE33HhsOL70KfUUqgYqZ6E6/QjZ8cOTj27htSgDVqAZGl7KhkP7+8UkrzH/8 pLRfORv6/R5SdN2hBOY/Kcqcq2RDTSdqqL6DEug+nOpui/X+nY0rFJsO4P6d 2ELnf+Lz2Sl8Yc4b9zt9h373Dxv+2t87pOOH+a42zM6MsKH6+esvLwXjfo9f hSvm2DDv7YwzCMd8Fl6ivbIcWPv5Q1XwWRz/OnB5jAoH9g0U6mT+pwSiMmvr 3LQ4UEPEfWYmWglod+RU3VrLgfm7qtOepuD5JOrJu7vg94NHOuXXDSVgSZnz uezFgf2hx/zo6ZhPNfRiN9bzmimaJodylIBT0pZnlEgOvNsZ+1mzWAkIEovy GQX4/XRgt8ytd0qgKHvW0xS//+qO6J+tq1cCTCeB+WMSXDhwga+f3aQEWoMY X3oUuVD77otnu9vxfKkrpu1Xc+H9IcU9Yj+xP5LsywvgwgdH+65FziqByEOf jdV+cGF91Ou54gU8z7BNbjn/uHDoeqrXN4oyGBD7Y+W4yIV6ZZar1gsoA2Tt ruipPAOL5os+TBLKYKrvpzv/gRn48OJxSd/lyqBzo+XOgrEZOGzqdv6ikTJ+ /+xtMaHN4vep+WTuKmXAK3K4eEl6Fj7wlPrUs04ZtL84sHaF6SwsIJ+muWxT BjHGS/bacbMwb2ZMZed+ZXCMZqB9ZRX+PCvpTAryxPl8nyXftJqD6n6IJ+6g MqiL2WX4ff8cvNOR2PsuUBloUAjaYvwczHpqcM8sTBkU/C7fMDI4B28dCjJY fVUZOL36oPiheB52aThk7U5RBrbML6vC6+ahfPcG+pEbyoDSbprl8WseplmL TBRnKgOp2sH1P2UW4HWtB8+0H+B6PiqIwvMLMOnnH1NmjTKIv+D9Sc5nEUbv 8dpOm1YGpbkad7cbUNCdXd2uB7m4Xli97TygoAqrPcHv5pTBlbSinh/2FDSx 0eJqHFUFRB6l+tHDKMhVU+8zQVcBGRo9/1nVUtBKzoSnhp4K4P15yNjImwd9 Tzt/eusBFdCZ03dTrYaKZpLn4u55q4D5bbzDh7qoSCrhWKaQnwrQJ4Ynfo5T kdV/PqgpWAWE5KWIm6vSUKm/Nb9jhAqoaHxXP/ofDcWuZyT73FABBXqZ9V+t edHq7pz70U0qIEh4WWvILB+iG/hxH7WqgPZM/ZhmKX40fM7AovOjCnA4WMq1 MeRHeeqv+rS7VIDonv0Ohd78SCqwXaW+XwWEfVP6ONDKj2YjaNv5KSyAMl6q rXskgL6IrKmylGeBMJXvm15ECaE0nfSHTdtZIOqkq2GGvxiamtyWf2EHC8iF 9r6lxIuhXZUTGet2sUDrtpyKg8ViiH+3dXy+PY4P67HSnxRDxyNmAs44s0Dn 4b9pcRHiyL5lr/ZyXxaYWrivXpYggYpv0li9fizQHfgmVaREAgl5P5K9GcAC gvk1j60+SCDE5RfgC2YBSsvgLVKEjgzVnv/uPsYC81la0y076Uj0uFRu/HkW GFB/pnHjAx35kejW5igWCKK/HH/4C+sLoaBk7kUWELX80F44QUenb9f8532Z BeI1NYSdGZJo8N0RD9MkFqB32Aq420qitwptSsOZLKBxwNRj1VtJpPY7QvpO FguUWX/auLVdEp15pC3mlIP7fWioavBLEhmbR87X5LHAsfnDMHJBEt05ZPg1 vZAFGmW6I0RWMtA5lJC2vRzHiw8vr73KQEPfUMrMSxYYVgnbmZzBQI5zk0n3 KnB9J8u1te8xkP4al8s0xAKROfKNd18xUGeh5ulXb/E8U3/NtP1koC3vnU/4 17GA0/XHcmiIgYr744/I1uPzWzfoc2iSgS6qTgYcbWIBlhjXQYKXQCtvwH16 7Xg+T9QGTqoRKLN0Yu+XTzjfc4fvTjoEEvywzCH6MwvUUQ8fHzEk0A/ReJve LhaIMPtJWW5KIGtdaHm1mwWSHBTLP5kR6LnFhDn5Hc/rptmt5Vjvxp932pj+ E5/nx5Gz/bYE4mTFrbPqZQEpITX3rXsI5Pm6cjWnjwVSRHuUdjkTqLlrfEV+ PwvYnj5SSnUj0DquhsHuARbwPoEU93tg/S7tpMszxAIlFcF2Xl4Eoq+K03z0 lwUKmih7xbG+D7etVHMbwf2snl2xH+v//kPjyiKjmH946a9DANbvcRqK5WMs YPR2JvlfIIEqCvbK+k6wQAZn1br//35B+20sIT3FAmN3I6eFggl0rfe1RM00 Po+Lzr2XMV6kjIuEcvB8jvKoP/j//wMqawiqzOD5Kt394o/xpw17eZtmcX8P /ltRh/mAcywlfJ4FPGznnWuDCFR44vW89iKez3RTtBvOL5Myxu1YwvN7pjKd 7E+g84/Vp6N4VEHdwYc/vXwJNNLsOL6Spgp45/qTW7wJ5DR8eaSHVxWY90g6 fDpAoFqh14NX+FWBn1HAiWPuBDLUGvttKqgKWtu22BW5EOiWufqvISFVQA/R 2xzhSCA+T8fvaSKqIG2XwMNeOwKFnLvctU1MFcRw1s7/tCFQd0ZFx5S4Khgo Kss+gc/P4uXohzt0zFdBMnLw+T75rNZiy8D5Et1bPDYQSHl6T8MigeP/y3F7 ZkygKcOKGhdZVcB199dS1CTQ/h2jUFBeFYyNCCbrKROoPkCt4rmCKkAVpH6L NIGy82NKGcrYP3NbdjONQCI1r0qQiirI1v35W2eWgU70/CsKVlUFFN3elbJj DLRDcU9+vQbOtyuUca+LgdL6DNA+TVzvp/y19FYG6nso+HVYC9sPIQX5NwwU ASroEno4/mFYl1AxAxUdVI/YvQLPo+PCP59wBuIaLKT2rVQFlhfmopoOMZA5 t+PxcWNVANzNZ57uZ6CvsbF/bqzF/ao8s9m+mYGES8btuzdi7NR//Q8VP5+n Gg4dIvE858KrmBP4+d6cH7MIcD+PCO54jyRa98mpkmWO++2xCjr7WhL5zUKd g9aqIDJ3qsngiCR6Z36F8s8R29+KSMXU0xFD3E/xnBO2j+xtFC6lI/fPZmvo Lpi/CMWuy6Qjtv904Eo3bL9heDQrmI40E10/n/DC+RTUbjwUo6OoL7rFS4dV QUhpV8FEuDgyC363T/KyKuhJ3cql/xZGs52D22pjVYGHJ096ca4wKt0iuvJk PPYvSNLh8xRGmvJ2gt8SsV3f0H7qmxASre0qLUjF53eCm3X+oyDqlP8nBvKw /Yf5iMYbfpQcRZ+ZyMf8ZppSwxf40fbRlX3591RBydWDve2b+VFl7cmXIoV4 /lNnk9Sr+FDeYR7fz4/xfCsdZfcjXhTyRgoFQ3weirkyD5upSNdo7f8qtvJw KLs3jCzRDGMmQtZ5JUqFZOc7VJJKtMiS0rQpKiTCFMnSZksL4qsv1HxIklKo c6j01RSKJFHSL0tJyTBjG7/Hn/d1n+d+nvOc573e+1zvTJFeDcxbyyZO4Hkp 8jXb+1Jz7XQ9u5JueUoRz+C/g2zqYD64nvSWTkliN9dQXfY18K2eBrsmJMhI gqv0w3qoJ9N55094/97+HfQrsBH4If7hhSkShF1359mbJqin3kvvE1uCzAyx Dc1tA71IYcGpIjGu/ejn594O8QlHxpetFuNo51iXGZ+Ad5zcXtQ7iQfmPtPe 9wXqz0/4NnfRJG6uc+Ob98L53VO9s/b1OE4xDbnf0wfnk+E/dDhqHK/Kyfgn +wfwEVs4VUbjuDKkNULiF+DcCJ/mlDF8VZOj/2oY1h/fM2912Ci2WbpwMUcI /HWNg3WWo7h5tcBSJAJsc92TMwn3a/9HjiljkF/9gov+MxGeGZG4Rn8CsOSi U6xUEb6evH5z5STo5a5baukrwnb5atvdp4BfHIkuGYlwS+WXgG4JNpLoa5zd NiXEwW8KQ7lSgIWjMRXtQqzQe5jLlGYj0lIi6K4S4nyxXSJPho3QhXf2+3OF 2EFFNs1Bjo1ind0ETieEuHVhQ1bzTOBj5WJC9wpxqFNm3n4F0JNWZY2tF2Ka 945bEjTgKxruttmAHz60oOISHeJf9ZmpGAoxShwixkqANbNNCsGft+VUv6xl AC6smpstL8RhdxOavZiAXUZMv02OYMWXbp8GWKDv1RdzVjCCeZ1zeuNVoN4r 3l/Ogf93EnYOasyB9Socyb7eEdxOLxwvVQPce9PnavcIDtc/LLNKA+qxTre8 DVjZ1k6pYy7oTRwvmwP382IPGfXDWqBXIX//Peg5B9Sz5XWAN3Sc/An5Oo9f Nr6qC3zVAMtbPIKjLvpbLGODXn+b5xwFIZ5dbIT4FOTzVhEYqAlxSe2f1Tvm QXzZXz8SYL8uH6o2Cg2AX/+RbmYrxF2/4v2SDSH+TNaUobsQc2Xd9lILAN8v sQiAfqpqzQl5uBAwmT/RD/eJ0qWdUesXQXyAU1B5jhC7uv4b/20x1CP3X3hV Jdxn/ENTok0g35f9n8VtQnw8wjZT2Qzwn3kO0ZNCXJb/ush+GcRvPrebsVqE 11ZdutdkAfFP1ZP0QkW4+812vM8K8hlv8tiaK8IaU4NvL9oCPtL/xH5MhE96 q479dIT1fn8OLXk9irWDP8+IXw76mlFrFeXG8INEHl1jJeD64RO/ncZw/10b PWcXyHf/ex+PjOFNittd/nYDvvzQ0lVN43hA33CDuTvoEfPAq5oT+JTtoO9L D1ifqbeIv3cCVwecPDSyCbBRd33cjEms/+TmJTdfNrp2WL7jznoxrjcW5bdv hfr+leUvLBDjo5dc7u7fBvrUST3TCTHm7+trSNzBRp0HrANqSqZwKGOhPN7L Rml34maVX5Qg2K8kekkYYPPOKT1nKeIjKvdnJLNRaYXfZjeBDJHmyBz6OwXi D5Yo6ZvKkhL+5mPGaWxkkpS+QeWgLJG8OpLlkgH5BgeWW/TKEt5Kq6bYLDZq 7Jcv7G6XI8Pnq1YOFrCR+6rKNfwn8iRtUe2Ct49hP9rhwlMBdMKz8pWPI6D3 6SDnQj6d4OWCHtNaNvLPfXlbq5NOBrwNCtKfwXrXf2ZmbVYkaxLP6Hi8YiPG mvRzNdZKhJNOiSXqoR96fjm+IUokKqe6vbQB9ObhfT48JcIrG8hiNEF99lui TRUYRPbzhtmNH6b50Dy9UAbR+v7jT8xHNgqOe7rU5iyDmA/Hv1nSwUZW8jc+ CfIYZOesipTUTlhvdl9jTTODEMu58ut7gPfDql4myqTVqbxH3MtGPD1b2jZn ZfJr3bq6ku9Q3wu/ixO+ykR7V8xJxQE28qqUSZtKUCbRaV8nXwuAVzHXlXmn TM5f4bYfG4Hzp5/YWNGjTApvqFQtErFR7xfmg/FR0K9edTR5HPqRrvHKSotJ fj/v9LSfhPPIEISZLGYSuabIZT/FcH5xxY4PHJjEoq/oz1opChme4leGbwO/ IFjxZmIGhWKHNB8Xw/t911TH7WIZCpnofj8fwmWSDBXGAZo8hSSuHft4IxP0 HcN6+EoU0nV/H13NZ5KZ6+h10coU+i/1tNvu90yi43UjfyGLQr16fE5OF5O4 HWzdcVaVQi5F6xrvCZlkd2QIslWj0NHgz3GZkizCjVfQ+aFOodJUbyOFWeD/ su3aXbUo1HnLKfiKJovUFryrHNOGeJmEiip9FmkrPZhVqEuha+nyKMiYRQar 5I76sCkUXO0Ydmsp+PHn1zwV9CnE4KY8j7FhEd231ssq50F9/mr3vyIWsex4 y9o/H3h08+kHZxbZMyT95sUCClktmBtzHPzetsIV9VuNoZ70o8e+gP/23BHP /7WIQk+7Prd3g/92U3v6X9wS0EvKN0qd/j9hw4w6FVPIb/JjuA38t0Pi8ic8 M+hv79kPL8F/W9ifJLbmsF+1YZr3nunvU7WP6pdBPleUcxb8t0GRVNUOSwrl 51WJ94D/1uY4PRBYUUhto0brj2n/qx53L8mGQr/bjBo0wC8rNtaUadhRqL8S JwsAyyZJlt6yp9ADjZskctp/2zveQn9RqDE8Zc7098MRQWxhE6KQvsfwiml/ PlBEbu5xAr5bXTwb8DeORMHocuD7u8fcQK9dHV0/t5JCXu5fhi3Bjzc3xlzV WUUhdwXV4kao71USzilzgf79kutQBz/+1GEqa6Urhewu5LrOnv794LDD5dY1 cD4OSg8J+PHy4uMXAtdRqPVT84AOh0WKdz5OF7tRSKB5odxsO9xXNMQp6e6g H6b4btSXRXLe2J/T3wD98lfSCvdikQunjp2u2AjxOT6+vE1wX/rrUaLrZgpN RGT7p8N9KX5k4mSHJ/Tb1m3KFPw595bdiWAvCpnzHsw6C/48bBf3+AwfiE+u 9811YpFdb8ePGvlRyH9Hl8GgJYtsPW0bXr0N6nnI22xuxiKbUPTh9f6w3vr0 EnOYrxUlYweO7KQQT5jpe0CHRex22wTO3A3PR3VYEE+NRcw1owKu7KFQ2JHr BXnKLKJ/ZpRTs49CmZkdGp+kWETT0dp/UyCFuPy92jrjTDJbdNSvJ4hCxqu1 PlBw35TeI9pCDwb9Gj6NC8/LV0fhWu9wCokMbZ7EPmaSNpGFa38E4NznDaJy Jnl7O3xVTCTgKe0W2yImqdUacSzgwvPxv+Eog8tMcn1UYDEYRyFp/+2fbwYx CefOH93TqRQ6d2OrsZESkwTFbZxwTYf6FZHEGkkmObKx/D0tg0K7eJZm9kPK 5NTwkZS0SzBvZEvN5RZlUmI9On45l0LVJZJSbVeUyWjNVMuNIgrFU7YuAbrK JO0tLfnpc9Dnxt2OVGGQ7LwDAYkvKJQWnG61QJpB8sLql7vwKVTc9wRlf1Mi 91XTxvj1sF9bhYq2q0qk3YcV0PQO5v3fAPutLCUy/6v68q6vwHsY+FQJ6cSk PEo7/xuFXr3vS9FvphObhI+ju3tg/XydR2dK6WTt/NzSvu/QDwmP/Rv30Ulo oK724CDMb+SL6rE2GuHanRgtG4J5lHuZEVxBIwn0ruawYXhefy8t+5lBI5m3 886KRDAvBakZUuto5Hqs9N7KMdifnFlZjhGNFHnsduJOUGi2qKjBSZZGytl1 Wg5iCm0VH1Mc6ZpFHg8ZjE5NQX+8is5V4Fnk/1G0+F0= "]]}, "Charting`Private`Tag#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwc3Hk4lF0bAPCx74xJkoSkSLJEUso5lWypJCQhpCwhhCTJTkLIViGhCAlJ 5ZUhRLbsW5Ls+27sfPd8f73X75qZ5znLfe5znzzPu8f8js5NWgKBwMhKIFD/ m+Bpzihr8UR5pSVBScGHQi5vFta6ImyNmFfSTl8Cb/0o9hUWvo9+FtmK3AYn lIQKMQg/RjQ9fvdegiWnLcK2LJ+ifY2Zc7ngP5yJm+vtkciA5YhOJdj2pIvd ktBzJNLytXoK/LGlN3XhTDw6/4JmjOBLIa/e1uqetXyFeOxUVrnBSTTdj5fO vkY5ab8294BV6iL2UdqTUX0qYU0GPBKnVrpgnYpO9KvMKYNDLDaM5tfeoHYx /pFzYBmZj8uzoWnoykvO3ivg5jWrqBmhdyhqsOSPOdi1UlBmOjcDNan0DtiC +Z+11EyeyUJvX0uuuICLTYItJ1rfo2+vXAU9weYSmG7c8gOqzHhl4A+mXXP/ teCRgwiEF5lPwC29ersXzuaiw/lWuyLAb3/I3J7nzENcBUJZ0WC3LLavc+15 qKW23+w5WDNyiHEu6SNyejaG48ECbqW6s9b5qPCO+/lE8JRxfPLM4U9IPGDs yStwyZl7M9Nrn9Cjd8mEJHDkAR3l6fIC1K66K4f6uQXXoZCp0M/o7fk/idTf KywydU3qf0FsPD6N1Osz/e4TmxT6iv4ofNR6Ae4o+eYyMfIVMblKbI8FZ7yN KxvPLUQZIbnSz8AeIXe5x93/Q8cYRF6HgS84Xbg+dqYIGbPctH8MFjY48H6U /RtqOnQ33hc8d5J+baT1G1o4pivzEBzDUhgzbElG3nnLCfbg/HuaTnf5SpCo 03afW+D4saM75z1KkI3M515jsH0DyXLubCmaT2kToc7flTMETqeMUuSvIcB9 CowLJvNnOb+jPH7XpwpgUnwV7Wz7d3TH11tHGLzGWfDO4UQZorttkswDHvBO 0Z5JKkNWKm/imMEFlp6J09bl6HY8fjoN8WcoJ398aq0CKXV6qhaCX1e/chwX +ok+DvYyqIMX4j5J/A35iZiX6E4pglUta/qbVn4iDrWvPuLgCbolvcLmaiT+ 6osiC1jx5IXjjwNrUZDEF9Vabwr5CZvFvMdCLXrmwxb2DdzTeT/LwawOEZb0 dn4A+7m+ETRQqkePKld3PgM3fFinFZv+hVQ9vzy7DiYhFhMOqQaUZStfcxms tD/qeKBFAzLPtvZWB1twCO2gedmA6rv0v50Ehy28m3dvbEBXzHv95cBffss3 LDA1Ip/Q+n8HwP++k7PslRuR052admEwa4bm4xHnRtRTbWrPB5aPaL1pntmI 4kYXM4lgEzfT093/GpHDrboYFnDg9XFBfb4mJDtKe4QOnKPquvbrQhP63BIU suFFIXcdounQ8G9C14b2pSyD6baH5Jf914Q0K508F8CS67wRJ+eaUH9Y+95Z sH7/a7vP4s1IU+Fx3BT4UbWkpuz1ZvR6PeDfBDg99/P+zOhmJF4US0d1U9xp un21zShNWu3/XntU9zeRtgUtivUPUC1qaVDEd6wFGee6ZVGvd+FCf1zknRbE caDRmHq/e0fsXdjftqCgU3fWqe1JEli5FNDdghIpT56sgKvp/KQI21qRpcM2 zi3wwhgnm7tGK/rQ8jqAAfq7u+n58PyjVsTB5LXEDlb9KlpuV9CKlK4kmW8H OyR9SBqeaEWXdr/8KQh+EXj8odneNhR7JvMQdfzL7Cuu/r7ahgjFGU/lwbwn f5N+/WhDoksDFy6AseitafWNNvSGUpdpBLZmm635LteOVOTXGGzBRZ2M/gVJ 7YixJCkrFDxUEmEm096OFirFF1+BudIFlDM4OhBRnV3uI9jc9fBSgnsHCkHO 3t3gEONvzTtyO9CAytDjOfAnFfWciOEOpLnif48avz0Hm0PYBDuRPe5W2QNm 3mZi7a/bibQvt48fAx9eHTm7FdyJtm1V3LwMvvbvrsj90k7U4UlveBrsV7W5 ObfUiUzFLBypv8/+8Pi3rVQXWhOMvE8Aj5HGQjTNupD/4KW8f3B/MVdNZfGo LvQg7/Hqd3DSCbbX/StdiJZZZ9YfHPkz5JZhxW90i3+OhgtcLzm5Q3H5N8qr CEdzMD9s4ed/bj/YjawGtm+0gv30OSUbw7vReson6Vdg1/6ns2pGf9Dm3qXF Y+A81ZnkfU//IKma7E8i4Ol32rp03/+g/Z8fmLODrRy4PxeL9aCOHqnPfY8o 5NRmR6t4wx60u/Gh2y/wP4Wmne6hPegAZ8bVb2DDjUiPI/M9yMWkJDMeHGM6 f2jb/r9oU4pFPgzcXHb574zBXySS3cfqDSaK5YfXP/mLOEVklVzAWsE8p7OK /yJ7ac9fNuCgSef5x7N/0YOH841mYPN0myY5Ui8KPa2nZQgmdPFnJh/sRb2f 19V0wa/Yany5z/YiLtemuotg5ZMPjLxMetHFL+pDWuBu+4NHpu/B9wP0np8D uyf95jCJ6EXGVbZTVPM1PRmqzehFl465T5wHF9CdICuV9yIDzd/PL4F1j0zE ZvzpRU79Buv64Llb8Q47l3qREceenSbgiDgtjSDiP/T3UcnCLbBM9fqepQP/ EMN2gWeO4Pq1rNWbZ/4hL2GbpYdg20PGzS1G/1BH5kHREDDrdY6sM67/UHv0 vl3U8UsP/+aX9/Qfyoi++uc9WPW7nfGed/+Q3J4tm1LwwPxuhfDv/5CwgkdZ G9h3Xz3n1u9/SIrBZHASLHLFc9hu8R+ae3SpnhHmsyRIqqSbsw/1Ve56sAe8 Ph7mWHiqD4WuPOM0Ar/YjTQPXOtDMxe3Rh+AFS9Oi8Q59yGLS1lOCWCXvIst Lml96PlMi/UgmGdgK2ugpA+FP4ooZ4N4zNue43+5qw8pxBPeUPOttpqpyff5 PtRtZbBJXb9TbsSjshz9yLAo6nsgdf1llHAl7e9HBgft+6jrU6LbYYQT96Pc S9/S48BVHHtKH17tRwVEYSUFsCVqfD7h1I9ktY00muH+hGRK4e8n/ShPX3XU ERxHL9BdndqPCKcCzhHBVT9vCb5r60eFrS4d1PkX111Pvnl8AAnudHhR9RDG o2BPue7lAaQYKdFsBTbYqTZ4xnYA1X63qmcBB/VEiIkkDqA/ml1BFzygvrIS y+qhGUR3pFzMhtwpZK8arbo6/kEkUfqTLhzMJ+U0VSQ3iLj3+V1RAqvPF8m8 vDmItK1uesfep5B79fouBXsOom/tO0PVwW5fmO7ejx1EkwePf1pzo5DfPdT5 dOXnIBKq5Sm2Ap/uvdem2jeI0vo960XAXacTlo6sDaKPhxIN/96DeGEeOcZz aAgpi+cqmYKTbTiu0akOoenTpK+i4ON1hz3mTIZQZ+s47YQrhWwT+bC4IXwI VScrnPIF0y4m/yW/G0Knp67qXQa/uFJF+PB9CJ1cwi77wYcLJ/ck/h5Csg/S 3q+7wH4gsO1M6MIQCtabZ2kDmz9StPDgGEbx7mJReeDVf8b+t/cPoz0/2nQj wZEqvm8N0TCSTuS97AI+mJZeqWEwjEatHaOugctZ6kcUHYeR0+8OgbNgI9t5 FvHgYZTOHjclC16o5zu4I2UY7b5zllUEHCKrrMVYNIxkwvLtt4NFo27YLbYM I5QyzMcOLqIEhQ1MDqP6NQI9I1j3avaHZsYRxCIrf4AOPPFfc8N3oRGkKfP5 EdV+giuzuYojKJ/n4zr1+wLegtteXxpBBxrln3GA8/vPyIfbjCDvjN3yO8Ba qtZ6j3xH0BnvbfV7wQPpYa728SNIa9zhvBzYgy0/1vjTCIoXOBJP7Q+PfecX rfoR5JI4/9oQ/L5hs1NpeAQ9aC074wRWlRNdkyCMoi09GYsQcE+0hgD/zlGU x7C/Px3sumx/kuXwKNJm60+oBHNeizJZ1oTvBw/aj4Dffvv6aPjGKOqW7jrE BvOlLPw3qc1jFPl5B3+QBrf50H+viB5F1xlrKvTA9oMH+vOzR1F+dtbWlDPE o0knc+nPUXSnKzRlx10K+XJHkFTdwCjad2ifyQlHWP81w/cH+ceQs3OmkYcd 1C+5b4i8gWPI/lTCs6GbsN489ijfuz6OQnaymg3pQzxSGm74uo+j4OdtHdv1 KOSHd7weP40eRwEflvI1L0O8mP9tSasBLxWN/7gI9Y96wu2OoxNo3UPabKcG hZxYqhUxoDOBhjLi2f3UKGRupfWCGbsJlCPAnbZ8lkKmHLpGy5I6gcaG77fR nKGQS7ftfH6MOIkIYx9Wkk9CvRZaVXz24CSKfOtMY3sCxofRbeCS6iSST1wT PqNEIe/0EmM1MZtEA1fkmsWPQzyttEnbeEwiK1+98N3HKORNpwA919hJFP+k rG6PIoXsOHHkgU/eJGpq6ts4chTm++ZgUljdJBKOWX5qqAD12t+oHy9GJhGP B8PM0yOQbwxUJt7STaGk2qSANnmoT5vmuT8KTqEB3eYvUuDscylHycemkCFl djhODs4LFTrGNbpTCPffc9wOjlSm9W2/M4W+B/Zmpx6mkBm+5Kb3B08hPhHv RVWwm6xZ/fSbKZTPbB6zLgv1QwZxYa1kCnkk7eipABuJluxk7p5CY3QveVLA vxLuIJ6lKaRrKPIwCnx6h9BNYdI0Eulb1nsBht03WPLQNJrK0u/IB4uxeuYo qk+jYi5FxQHwC99DbSo3phGhUj5VHO7PvtG9pu0Jn//SP+sDfuQassf4+TSS oMwoz4LnppXUrPOnkc0ul2wX6I+F9bity69plCermckF/W/vexHpPTaN/GZf q5LB+6T2df+gnUHBu1uXnGH8esbWp7SIMyhO8OhnAoxvXFoLTfPuGSTV8+V1 PPiSRRbP1YMzSIZ5mKwO88G6x0/sr+IM4mxe2MEA81V1IkLa8+wMUmci+JeB AwwSj+7WmUG2VY/4wmF+acO/qF27DZ//YMu+DPFQkllxcfXeDAp61J6uCfHi Wdl05bnfDCohBvx3EeJpdXPCsj1hBr31YKb3Q3B+4F+945oxg1rMHEU+Ylif Ckxu2z/PIK/09gMzp6D/dnuCLjdAe5Vs3j9ToZDHu/XSf9HOIltfvj2emnCe XDbPseeaRRPd2dL8WlBf8Th84RCYRVGdnaZl5yG+zgVXnTsyiw6zU16euAT1 SmHxSKXlLOoqTmL4YQDz0VYzc8t5FrU0Rf78YQj71VzHMoP3LFIRatdpNoLz 9oF5ZpUXs6jhoUo7pxmFXBsndqCkdhYdXzekZ7GhkIPz5WWvd84i9h0KZma2 sD81nDq2OTiLcLWFb5k95GMmI40TW7MofpfYYArkgyLXcOsvsnPoxelskVrY D9/rrrzLiZlDwdvID6yfQf3iwJh3MWUOlfgIPJSPgf07ZFvh1Ic5JNJaK0f3 HNZf2aFqyZ9zqM37ffu7RFjfh83H0tfmUFft8SmODIjXC3fm1JjnUUzql5SR LAqZ38ZjdYhnHolqpUx8/wD14+sY1n1S88jKSmLy7ic4zxFrJF6bziOLlLrb i2QK+evR3Z8u2M+jrstLp958h/EzuYPWH8wjvvzRyjMVsP7eb9O9EjuPkle4 2zWqKeRbLTd76N/Mo7c82aMfamG9rX22ysubR0QtTTLNL9jfNYwectTPoxPH yJy3miF/O2Yz/fd7HmVv/6R2r5VCRnGESKvReVTgo/ndsR3aN5T6tox+Adla lp8T/g35iGNJxpG0gAYia/Wau2G/kdf4T1B4AVn84Iuz66GQz/hO/rqvtIBK pni36/+DfJyBDMU0FpCAbGlISh/Mb2PEQIv+AqJ8mito66eQK5b77X0sFpDD DVb16QEKeUZIYUXaaQFVH7HbmBiE/UotyPfPowXktvku4dcQhaxm38XxJHQB 1V9/uRwzTCE7RUvGKb5cQCemAodPj8D4F3mKDKUvIIUb+Hwz+Gd/Q9azggUk /EuJV30U9lvWvUdPlS+g4Nxcxddg4cMupVONC8hzIDe/B3zuauW5+L8LyEvt eBRhDOLfa2ebxuQCmiNqjjOCk9Numy6tLqAfH+faZ+H7dfXfxlKZFxHP6Vs+ peDlRS4XHd5FZHGUbrcreO9u862tvYuo65nxABf4gkr+4/eyi6hc/qzQU2if +21GnmtoEY1d+im4AP15E2mQyHx+ETmzHVNG4IavGeIFhosodVq43wH6v967 nnfDahGF3Tr78DGMjxjzxZPcrotoYuR5wGMYPx3p15XFvouoY1Le1xHG11N/ /pJtxCJKdsc0p/uo9dfZ7p2vFpHW8eG4tV6oL2tHZ5wLF9Hq8IE0SZi/g/NK D0SqFpE+3+lHb2B+9fnDGBpaF5Hts2w5Vpj/91aH+Q/OLiKHaJLxC4iPjqd+ qR2biyi7stKzEuKH/nObVAA7BZlrTbb2Q3wZMjw480+MgpwaO3smIf4CJOvq wo5QkGdAms+fOgo597KQwYkzFKRP64hKaiAfuDv2jWpTUFX++J7Yn3AeTS6z jTWhoJzf4so3KilkuZ/bl1RsKej4+RdyrVUUssmMpffcfQpSZV6N54brB+8o ZEsKpCDFZebR/dCeT8rsMeejKWjmAs0+ErTf/Lcuma6WgnBodGL/DOTXl//s HDspSKqYbfTbItT3hvYCf4coKGwijmS2Cu3nX6vWWqCgVfJeoZpNqA+6Au8X 0iyhapN1mVXaJXLWcx5xca4l1NAh8niCcQnqsddt0QJLSCUhMDCJdYmc2lEo 53h0CSnXtkeqcS+RteLU+npUllBbosr6UZ4l8sKVlnAtnSWUL6teMcC7RI7f YYYKry+hElXnca2dS+Sz7ZOTYnZLyFnpXMidXUvkqRj3+Gj3JeQgpjt4bvcS OUaf6Rxd0BKaURfX/Se4RFbmjVpxiF5CYTn39aWFl8hDrcLpPclLKIRrW/CR PUvksOj3+lo5S0g1viFrHqygd5yh8NsSypiPiLcWWSL38FR+FKtZQvEjoldi wYEtl82jO5bQ6sEDqx5gmaheIt3QEmIunvjOD+64bEd2mF9CePspTke4nte2 VbsewjJSmFQ38IL7izcHCGhxLiPDDOUTGkJL5IbIbTVfdy2jDlU551pov5tO 0n2xA8tIv6Cig1VgiSxMOiQerbCMXAuaTBn4l8g/G7+20aosI8Y1gT3fdiyR nSJU/R0uLaMf7yfPyW1fIvNfapbrMVlG2w+/l7EmLZFtGibCv95fRleeRC3s ZF8ik8LvI7HAZVRxaBchjnmJXHiRcSoqahmJsWns7qZfIrP9Ejrn8GEZ7ZtS 4Sxeh3ohLGvlT9Eyuqnv0H99mZq/j6Wfq15GmTu+1vyap5Cz6nQYxAaXUZXJ 6SERyAe6oX8/Rs3B778962KF9biuZWtOS1hB7W6vLKr/Usjna/3Jf/hXUPOB W5ldLXA+rP5yP0p7Bc0Vzl0N/Qb5NfisOK3JCtqSSfvs+RnqW82mtju3V1C6 5W1rk1wKeYjluv8ftxXERrIIk86kkJ/+HJc7F7CCQkKFdRZToX597Nb35dkK ShZ5OJ4H+0+vOkPE/tcr6NNum+jMV3C+Y45EUdkraHb8pMLBt3BerxKcoila Qe43pA77wn7UEZgZf+fnCvK/096akwfnPTXFc3/aVhB5bP1p7hfIPz8upX+Z XUEy0o/fi5RDfRbQo79/awXpJe58HgbrU1j1NkMU+ypy3GOYWV4P9WSFn/kd sVUUUNnwM7CDQhYcUGWkyK2iLmn/kxWQT2poWTI88Cq68JSwUQf5x21PzXm6 86tIKuLkcBLkr304dPbx1VV0SERz4QTkxyaTi9HEW6to36LgkdfjUI895D4W 67SKBnzvNtdOUcidhdFeqU9WUcyxbZr3FiC/dF4RPRi3iqoLqqcXKJAvlndW 5aauov0fbEKPrsD48HbfVsxdRU16BhXKaxRy6JFELvK3VeR81uoS6wacJ3VN P56tXkU/ZV/SvoD1PuwkcqW2bRV53GsvmdyikKMiBlZ1+leR6/NXwQw0S+RT OW8TO6dXkcN/Fc7/wFP1VqdN11fRwj6BDG/IDy8nJYaGmNeQYJ/I7SGwOvvk Y7vta4j+QR4HkW6JvCjx4dDCnjX0m5KyvgmfJ2s4NrpLraEHRNfPH8EXreRc aJTWUHXFdKMUeD1gkS9IbQ3tVC+Zd4D7vXvzuYhTdw05GQp0uBOWyPrl902j TdfQF/mr589De+n6legF7NZQ+7yf/Cj0L4dmMy35/hraeLfudRHi3Vi45NyB gDUkI0RQ9IZ8x4p8pj9ErqEx7TMOjyD+PxurPFN4tYYYvz+8dA7Gk/tlVdeZ L2vIjG874dIshVz8NdizunwNJRD/2oXCfNzu0BK51LiG1CuCy+Nhviq2N1qb jK2hkFNXSMdhfTjBsXOQsoam7W4J1UB9IHRZL/c23ToS51PAR2D/uR/euewm sI5sfVTdXrZRyPs/vIzfEl9Hq0d3sr1sopCb64xxwJF15Lb7R5o7xNshtr7A ZxfWkV+Qvf0/qIf++Y/xZnuto4Jod33fj1BPpWYVyoeuoy/CF7i+ZkO9VGZv 8t/zdRTk8uZ5zzuoh/7J0J5+u442De2JFFhP0YT5N1V568jVVz2KJgnOE0Kf NC6S11HhqUVNupcU8vTJe5OtNetI/vMPk41oCjne6FiEUcc6ehZ91zfhBYWs 8WBNvn9gHW3ceha1BeuP8vxbh/XsOhJJ2ems84ZCTvnyyGNmYx2NfYysegb1 4cYiXfkG7wYy//0qpiMf9kMH9st8GhvI9lPRJUnY32pfbLv/Xn8Dpfh63eGB /XKonP/VaYsN1Deic6q5EerJnQfGbR9toDuNW8w1XXA+PCPDTRu6gdJHyTJb MJ4X7Y4ejX2xgXSPfXEkQD3gV3rWt/TTBrrZw+VhBvkrcVzrnX7ZBjJ44s33 bRLq/+26v8YbNpBSSILLH9gfm9C1Ra+eDSRxMji/BPLfpLX5Lt6JDfTWooHj JsQDc5T1qcyVDXR570pjFcSLSLGDJWbaRMlCB2zGIJ5OjNwLbeXZRJ09Xwyq IN70SY8+2ohsogXR6mNmsL4cTgR0bklvIl6trrKPEK/Bt0K3ok5uomWXS1XF EM+p4VH7JM5tInUPTnlviHdy4ctzZINNNBc0zbUK7hpIdtS9tYlsT1zxFof1 scCZETt6dxP9U8uuZgNzHsv95um9iXwt/p1Lge+L3/jSv+3pJsoJ/e0zBdc/ HUpmeRcPv7+5zkZd30aff0grZ2yijvTg5ERon+u/Or3mz5soJkVkDx2snwi2 1gdWFZtI75GwDz/kj6wj3a83mjaRjClj7wD0/8f1/srI3k3ULNvjYg7j0/t4 bFJsahN95ox99QzGb/Xj7LZva5uoUcKkyw3Gl6dn+ZgOyxYiSc6Xk2D8pZgJ psO8W8iiaUnIHOpF9cNMAR6iW2j23/F6S1g/N4w4s7gPb6FNuc0WUVg/ngHb m96iLZTRdtToBeTXuByBZaXzW+jVgfrsn1Cf1dIfVLlltYXqy5IirlHjR+qw zZrLFnLVl7EqhXqKcPVYeLjvFvo1wBs7XEohH3mv1l2YuIXCFO9uewjnEe32 C7TaWVto7O3TihlYPzY0+uKDX7fQwPC954fSIX70LJy5WrdQdfKfdXaI/y+P br9I7dtCW2eruT9Fwnp951RybGYLve28eln2Cex/zfeH6je20A3HRz1+vlAv PsKMeQwEnCsas0UIhPzCo/Lcg52AI+OHd6WEwP7xTk1SbRsBi1gMVpyE6yk2 X9DpFiZgtFco52IChXzWSmfwrRgBmz4ieJckQ/27oefmKEXAzyK06HZD+2zF jBMZTxDwMV6h6hDY314/uD0mc4WAN85pxy5AvpApYVkONCbgH3F2w6Jwfiqh T2f4e4OAnx/6nicN+aU3dEA41IGAzfJfR9RCPenQ5CM14ErAIWwcRYadFPIW 754TSg8JWLD0Tfh/MP6CScZXRh8TcJo8+fAU1NvZA2sWOJyA3+6vyC6C+Tt5 4IVTbAwBSw6wyV2B/a3WTtFrKp6Ab3W7aBbBejTKaws9m0LASjO3oscm4HxF cX4Z/46AHYOPVPdCfn2gtO3d/AcC3i8T8ymBWr965RZoFhBwdiCNkvAcnK/K L5a/LiLghi4ePUuINwmWqcbl7wRszDO53Qn2x6/nQ/5e/EnAHtgjDUG9qx4p Mfn2FwHj8M5zv8AdbVWrG60EvDn0xFgY4tdqlyWzXjcBSy3WXzwMXrrOwJvV R8AmI03Z9OCA1JS9dKMELJ5HEYqF3/OOnpI1nCbgmLl1s1G439tDvcq5iwTc Eah0fg3ac8TJU4t5nYDzaiuaa6G95QUChtdpaXB9SASNCewnumuFlgXMNDjq S8x69jScd9FVFw4uGizRO0pfAuvjrt+Sj8V2Ghzs2egcAfsL7c/o8P92wfcF 20r2wnqJ5JBPJInQYH2Lunv34LwkotOUaS1Og/voe0+HQv7LjXH4WiIFnxcE D96E+qNB6H2LvRIN5pvbc+YGzKepxbm+ilM0GPfYMwfDfE+nj04LqNNgB/qF r/cg33Ie3s9Wo0u9/uvt7yE/J7qW84lco8Gmmn4vlspgP/rPfP99MxosKl1f wgnndy2VV6fE7GlwfNHXkneQ37uDTl70dKbBRXIsp2Th/H+77rdRqzsN9rHK +RAC+1GwPp+bbyANlkw2KaiE+OZ/WeDfFUqDB+iuFWbGwvntr+4z2SgarB3M 7mcbAetBdD4p6AUNdhvpndGC9VJlFZH9N4kGRy7LJF4No5AN3ksXKaTRYJnB mbBr4VDPzNb9DH0P3zcvLr0E64nxAeugUiENds0q5doRA/UoOX0usoQGT6xk aQ/A/fbRqxHGftDgtk+eQsnPKWSVUN9dcc00eOzqBe6JeAq5pXHPgelOGsy+ QEpyhfrzBm+JgmovtP9HQtQU7H8+r9YvLUxA/75vn0yB9akt88Xx4DwNTmz9 TdeVAuul9G6E+QoNTu7yLF+D/XfiknTu8y34vfSPDGaoVwv7xhoaGGjx6dNv lQhpUM/efTvDxE6LTWa0GfrA+vTmRESixfRXzrx6D+tdNHq3jCsfLZaRvJRh DuM5t6/z4ntBWsyZ9r6BkEH9e0jUnQFRWlzNPFcRCA5T03666yAtXmjYo7ZE /feaDrYPOrK0mDUzi/8i1NsS1pX1j4/SYmVRe+JT8PKKz1TJSbiefCbNZ/CP YGXO5TO0mPiOo/EHOGrX6iFpTVoc5ZVgUww2z/p0/pY2Lc7BX8oSwDInHe0S 9GlxwBXG3xbgzTrJ0BYjWtwUaf9lG7jWZCSL7QYt9ihmssuA9ryYTqk9bU2L 3R2Ztx0AW3ldn7h/hxbnCXyqewr9U+DexZ7rQos9b2r97IH+0ye3HRx5QIvF O2aP84KbDkeeE/KhxUH0saYKMF5JZedv6wfR4nC2fi8E42uvy/IkNIwW78/h G5eF+uTEYHlGeRQtrp1fpXDAfLC6elWvvaDFoto59C0wfx2MJ8YOv6bFTrGp Hn6vYX3HLrHYpNHiC8HWv4SgXjr11V6j4yMtZp5NneaD+OXUlLDmKqTFFu8b Ku5B/dTdNRikWkKLBUNmAssgntzWjarya2G+WGPlRSH+ctA5tYhBGG99Qy8B iF/PBkbLqnFa/MP/aeMC7B9aZt8DtmZpse7CyVDyY6jffI79sNuE/sY9fiTt D+eRH2JnNXfQYZ/FboWIB7Df6PdbeO+mw0nJ52N47lPIRcOJfl/20uEJVUvr CFdYb26GqdMH6LD9cmg6szOsFxbe8v0ydPj0qTztB45Qf75o7DdWoMPOegYz f+9QyAsSoXTRJ+hw0ZP0riPg7/+p7609TYf3X7ts9syeQg7Xoj9Dp0GHY279 S1m2o5BN/pDNj1+kw8T8uuKbYEn7Bz6OenT4rU9MTZct9d9fFZLTr9Fhmaq6 3ivgqqdzpX/N6HCTwQHSn9uwHoWz//Fa0eGR/yIdbMAWudY0F+zpMH2OAisB fPj0vj3+znQ40ixqLMEG9vPmXlzkToej9EP4VcB+o8Wv3b3pMGPlxPYJawqZ hZBAeyyIDl+I3j2UAA7jfXBjKYwO57S4hFwFkw5dLf8UTYd71DcYhcCxZ47u c46nw7cqvLSnrChkAcPtAYdT6LCi5FvTSnCSw/zQzDs6HM5BkMwA7wtsVPuQ Q4f1p4VTY8AZCR/S7T7TYUHl7M8hYKn8UBbJYjpcPe6kQ/XH6ts2Y+V0mL3E 0TgarPhPoya9hg5rmiwVp4GLlsQkLZvocD5dlmEZ+BQnY+i+Tpg/whvuEfAP 0YHJ/r/w/XmX79uhvZpK3y8kD9HhwpJTGlrg+ktJH0wnYf4Nah49AV+28iQK LdDh5BMBJ5vBHZ5Gjn9WYTza3l7ZC+NlFH286SUNPZ6KO/z6Abg3k0/OkJke Vy9yjf8G3/xOecbHRY9Z9/LSq8D420/n6UUL0ONsUbZWCZi/OYaIgst76THj 5rDwO/A9gTs7SBL0+LjUyA0pmH8vjYOdYUfpsQGLVb8WxMuzlBSjIB16HOQ8 vNzkQCHzFXp/U71KjyXO7lDygfiLb7guyGBKj53IT+4qOMF629jV621Hj+N5 /svMugv11pWoGw+C6HFLQdKRKojnE/ZO5cee0uP8Q0PSsfco5FI/7X3L0fQ4 ZmS1hvr31upc9mHnFHpcJPgmi+ROIV+oGlOTy6DHWgk/tcfAzT1V6bM59Jh5 gKJXBuunm83fxr6YHvP2bxx3ewj7o8iNGskKenz6oLTLZU8KeVDxlOR4DT1u ipKrkHoE9eFFodB3TfRYl/HOLhP4fOrmxqRlJz0+fMh0VRd+f9fj94X9vfQ4 4PN4oq4H5NPIrx8GhmB8a1bMjOF+NCUujmYL9HhhL6P/E1ivAW2Xm4TW6LGb O7NLLrSfdVJWroeGAVNo/qT8g/49pSNGxTMzYO2DrhoCYB7+qQVDLgYcEv48 1gzGI06mVm8nLwPO3kdXmOtCIe9WyyhoF2DA8cpBbdS/p+53vuWmK8GAy7cH uw3AeB46/vfyKxkGbKq8+NIaLE8wkB5TYMAnTtEnLcP4K/1oYD1ykgH3+IeE RoBPh2gMPTrDgBMtfa3lwRo630urNeD3ArxH/sH8afMpJWzXZsBf3EsnY8FX ej66meoz4KRX1qEGYJNUSd1MIwZs6OTIuhd80+aNNMWcAYczNl1ZgniwlRFk O2XNgE26ZW+2gu9SYoae3GHArBtrgt/A7kVc39tcGLD7oqt9NtjbJyhhjwcD 1s38fewdOEid5r6tDwPW5LK1eA9+yumu+zmIAQ+8e1xfCI5pmZOmfQr3p6vV awQnvLjNdj4arjfI2zoDTjUdGIp9CeN3L0d0J7Qvc7/x977XDFhH/gq/Jjhv ojXhUDoDziq48tgX/DXvwn23bPjcLPl0BbjErVK3LJ8Bj3X38nDB+FQqYxnO /xhwg92TWlNwPf1XtqulDLhAeFOuENxaLTucUsmA/epDt+2C8e8Oz/g+VceA eRbjZX3BYwLx9/26GHBfre8xK8jXs308er96GbAonWDaAHg5PVSGfxj6c2rQ 0BLml+HIo+EP8wyY/fpIsCfEA/va0vfVFQa8murlSYJ4IZU6JJ4lMOKxnn1p mWDh8+Z6v9kZ8S0ufrcJiLcTN8+WMe5nxPo8A5uvID7PHCxOvCTJiHffuBSs B/GrOavgHn+YEX9L85nloD5f8VBc9jBixBtmq7wBEP/Xz7xmf3iWEa+Pfz5y FtbHLRb+kcpzcL0DmrMMXhSyczTbK2MDRpwZw7AW7A31/TU/93QTRkyTf+/t BR+on/Zs6M1bMGJuXcd3JDgvPR52kVW+zYiTgz83/YTPw99PsT92ZMTFx574 yYNj71qONN9jxGZyJv0pcL3EY71lgp6M+D9BH27q835ZFY3u+cGMuO1Uth4X 3P/jE039rXBo7zvl15HQvsJLZbKasYz4Rpy+2C5w1Z/8kb8pjPhFNpv0CejP r5RD5RIZjDioePxXC/S3zfrtK5ccRuyYvzHqBB5YjNVn+8aIzz44m0WG8Uk+ JXf3TxkjPh3CXGcJvh5a//RDNSMO3dfnygsW6LTO8m5kxPzct97VwPh2iTL8 vNzBiG8iWbNAcJxD0uC+v4z4eDttnAZYv0iJdnmQERcttKiQwDzM7YLVE4yY mW/x2j/IX42XnZTi5xnxCRWBXwXgsFccBvarjFjnV0BoJFhrPN0Z0zDhr31s fs5g1qMqESRmJpz/Xj7BCFzl8/f9ACcTHte4XKoJDqh3ry7YzoTP6TxvUwaf 4ecdDhJgwn8kpUoVwYRbuXTX9jLh28xnb1BdnKslfEiCCZNCDyecBHtsDJ/Y kmHCZqd9zquDj2n4Xm08yoQPvmO7ZACmRAm6pigzYV42Jl87cH7v10iXs0w4 fWvPt0Cwk6TeBzUtJhyY9qz9LVjabaZm52UmPJIg864aPFH2ZGT8KhO+8tqT aR6cwSXGUGzKhIvnK38IwfhYXfu+J9ySCYs5SRVqg/elGSub2zPheYvij/7g JOWoe4weTNj8V9j6KtgkWDqqw4cJOxnvGT9OnZ+26pyMx0z47sk3gp7gWDua sQuxTDh17XkwNd51v8Yz7kmE8WHyNLoKJjEo7p1PZcIZatfepoHD4u2NYvOY cMqvs780IX78an7X/61jws4N51+9eUT9e/298dwWJsyhLWyyBd4yJzH7/WbC uS0nRq5CfBZlvxfV72PC57PuMX0Cu6+qnxIfZcJXJfL9qc+rKqoOGK9OM+Ht LnOS1OclFyMeuddSmHAhybiykvq81h/+2MQNGA9FfaG9sD4cDhR8dKBnxq3t YlfpwFIulxpOszHjC+K7X1PXy3jJxAQPiRnrCpeeVwXfMti7/6sQM3Yyei7x jPq8aWrx6Sf7mTEpa9DrJLhv+up140PMmFZNMmgM2m8cGB5Ho8SMzZ3u91Gf x+JvPvip+RQzPi1ZcZ4W3CFY2fhGHWzy4UUhjIduwQarpj4z/in0c1kOTKJ9 LiZgzIxDspl5F2H8fp2XV5m6wYzdpgUPfQVrDto8jHRkxspTo5c0waoP92ap uDFjfoYYdT7w6e3dXRRP6M8PJDwK86X8PorlnT8z/jZZ2lYEPn72vOK1EGbc cWfS6hlY4Q+DJcczZmyn/KzJFnzYpTia/JwZEwdCOTXAUhz3yh2TmLHCUjWv OFjijfT83jRmHHxTd4AFvP/kyJ629zA+sVfvTEH8iLQmaQflw/jYKX5oBQva XX10/D9mfJsn4AUZzM9Ayp4oZcaEwh1iWWDehOruxCpmfG0bm+ZLMOmIL9ul X8x4pbx+KQTMWad0nK6NGUemSIh6g9luLlh96mbGqFHt+z0w80ZWrGU/M84p +FLuAKaPvvlj5xgz/tTptdsWTDgkuFgzw4yzwgWKrcHr5W17PZeYcfqzoFiq l42e6shsMuMftzVe3AYvLKh599Gz4G2lTgV3wDMhhJwoNhbsE5j92wU8Ifq1 R5XEgolsKisPwSNFjhwrfCyYoVtwk5qvBnQlTmQKsWDjl60dz8C9E302xvtZ cFZazr3X1HrK7+VzrkMsOCAzpyoH3CGgW1Uqx4Lb2KO/loJb8tmX7h5nwV7K fUdbwLUDD3U71FhwmGJlxAa4ykPBN/gCC6a1dFPjgfEv55nOPaHHgq2YG5Ul wUUqplyvzVlw7LYzb66Dv3TzKV+2ZsF22SGT7uB850ZbBgcWfJJ39EAsOCv1 dLX1QxZ85+0PmSZw+om15V1+LHhCX7llBpza8lGsPhjaw1KymwjxlWRrq+8V wYJp6HtWpMHx9Pv8D8fB94NO6GmD4+L/fBxIZMHFScLBKuAo+Zi+mDcs2Knm v/1S4PDaC9waWSyYnZmJdyc41IIJr+WxYAvtq4YM4OB1sv37ryzY7NG9xTm4 f0CUW8L1Eha8W+D5yD+wj6RsLXclCy7ktJOnttezfHS1rI4FX0KCnWVgd6Pk A64tLHhB0KCtAOy6YGgg/huuv+vcwUywU8i2wK5/LDhmI6ctCWwvWvspZIQF q8g1tlHHw6bIb0B5mgXz0vsfCAff0j25bXaRBQfnKdU+BptPLJ5KWWfBb4M2 //MDm/hlO+jRseL5BudFL7ChgOUrJlZW7F807EzNl/r5QvVfiayYcERV4SFY R6tj/fYOVuwSL36E6gsD4QcFBVmxuHuLLfX7tQcHWoxEWXGF3Gwq9Xrn7h71 fCnBim1HLAd8wdWFwWJdMqxY+mDO/iCwOm1PA99RViwhzGEZCv6hIet+5SQr 1mx/mkRd32cj/PbGnGHFBS931r+gxktHe22LBivWVzQZSwafFj7ouk2bFXPK Dk1Tx6fE0lNIR58V28wSOz+B0YfGqnAj8AxvUgm4mCLq9MucFSf8ZEO14BPK brs4rVkxUav3Qwe40L+mXOsOK27ztJgYBCvWCdo/cWHFri81pubBR4wqSph9 WPErdjtxEsx3fgqfjVoQK1Yn+V8WAR8ev70tIIwVj2/7dEAOLOVOukX3khW/ s91RpA8Wj7vOtvmRFQv+ZitIBb/9m5d/ohDG2yDzHjU/7hNjNHlQword1+Sy 6sEiBVk5y7Ws2NSd+dIqWKBlRW9+kBUPR3z7pgf59sWu81uyE6z4T9aoph14 542kdIc5ViznmUb0B/POqa5NbkL/Ot+IfwJHHXuRKsnAhm8mXLGtA2/znjx/ m40NUyYe1QyCicSopJEdbHjvX2MyL+T7sCvDGmKCbDjvdPFZaTDHq+PzN0XZ cHXnRLUaOGQoND5Vgg2nfu5UM6U+Hy3172y/DBvucvb+5EZ9PtxFfnrPUTa8 yiI/5AVm/BYYZ3qSDR8UXSh+BPaj/33q1Rk2zNN04JcnmE5LavyPBhsm4Fg+ qn2eeUcJaLPhwzc646nPYxN+t5y8ps+G722zNqbaU0R8+LkRG17bHX+N6nXr B+Ed5mzYXedtHNXuufXHdliz4dnHL7ZTr7eyvKdf7w4bfpV2u5lqN+wSEuXC hlufTTZR20MJrDrS/ADaI9vGQ33+3fnXrr/cPmxY81zxcx/wPO+dIO0gNrzH W8TcD+xk8l32aRjcX8zCPgA882b777ooNjxyoLo4CGw/aeXH/pING/Z4X34C npQvOnTuNRtm+fNKkvq8va0HV/vjNDZcUCOsGQEeKzP3qnoP/d0/lhkFForo sAnLZ8Nzt8ZT4qjPt5tc0NP9jw0XzmeMU58/L14+JtFbxYbHyqys3lLbV/GB 5+0vNpyoIxqfSX2e+tm+rdtt4O/8u3PBkYe4W5b6wSL8dNT3ASpXA4q/jbFh pjG+W2XU8atcT/edZcP+W4hUTa33zUcecm2xYUtEc6oDrBRLFhPjZ8cPiPUN S2AHiyOkSWF2vBAipk+AeuKtbOZ6nhg7NtqVzccCJtbGNCofYcdlPevnd4EH CPYP9LXZ8UGKx5nT4BAbgV/+AexYZ+Lgwzhw6dHIr+dC2fHRv9U9KWAKPXMq dxQ77h8IMvwANn0175bwmh2bunLH/ABH21rfuJHOjuN6Xmg3Ud+HOfb3/IEP 7DhJvZS/ByzfUi3yqYgdm/xcaloEW7/GHA/K2HGY8P3/aKjnC/uCJVzNjsc3 76dzgJuVJPsYG9kxh11YOfX9IWaW5NradnZcLXjdfR1+f7Jtx+fIHna8v5/V dBrslBL62mCQHW+L/s+jD/zn5H3XgTl2fGCGdO8nmMQ2bZqxwo5PVZ43/wZW 77A450DgwFcvFbzKpb7f4aQtvM7BgXcqPpd4CR5GP1i/83Dga8rufuFgAY4T i4G7OHCDl75GADggTax62wEOXFQud/Au+D/nhPxOaQ6sfc7xsg145tS2V68U OPBx/r0bZuB9XI8f3zzJgbttgw8Zgg27N+8eVOHAqnJlozrgp++cTWY1ObDo epmCFrjcdUz98yUOLNRhvFMVvHLGVO6hAQd+qnAiBoOluNt2n7nOgW/9N5Cr BB4KHfKJvsmBdbSE8o+CE1iXhodvc+DX22fU5MG6gUznjztx4B9XMxxkwez0 fHkhbhy4nOAnK029n5f4jr+eHNj0RnToIfCDDUUPWX8OnMHdGSgJPuyu8c/3 CQc+HH1wL9VjlKuqbREc2EjqnDnVyXdtMsXjOLB7aLsa9fdXZ9yJDxI5MCHw UpsUNf7snrjUpXJg3jJ+IvX+VaMvu4QyOXCXlcuSHPX9rVtZyCmXAz8o9w2j tl+hvyi1/DMHbhlRa6f2b+p6HcuOYg5srZXSTO3/m+4/9tblHNjATN+fOj5G V6ea/6vmwGnihCnq+PG0bSpyNnLg/0p2c+mCa3S4Ek3bOfDqFMvYNbDPLyG6 j384sF7q+iML8HEtGSuGAQ4s95C1yQ48W4Xrroxx4B0nRP/do8b7d7PYdQoH dpsLPBYG5kNO6xc2OPBHxTXfF+Bf//mYvabjxFktNaFpYOVPKQdViZxYvUC2 t4y6fmTzw+N4OXGeVKE49X2M99nli2MCnFiXzV+mnxpf6YPkpwc4sbAzgwf1 fbEWUYponzQnZkw2L95BfR/wNWOwvAInNlm8+E0CvPpCTLfzNCf+16Y6oUM9 n+xQ/HpQgxPrX47aaUV9/ytKXdDzIieO3ru88RDcEWo9ImLEiW+W+wxkgsNZ 3c+7mHPizFH7vjKwWmBwXqUVJ05olbzfDN6ke7mD/w4nbkvrftUCLvDK9LB1 gfZMSV5vA9tt/Pev+AEnDnrzt6gDLOpeq8rtw4l5OqOLf4O7Kd2ZN4I48amG euu/4Gd3J4kFYZw4VXG4rB+sObPhwhzNiW+p8zWNgGntOH8bvuTEYl2uz6fA X0cF8fvXnFjJZ05wkfp+3C3pN1tpnJg2QddyHSzej1h1sjmxhz66Rw/nr7/X te+k5nPi0gzJyxzgmG7TFkohtO+63RYv+MJVx2MapZzYjiLmRX2/jLHNO/Fl JSeWirvSKQn+phNJN1XHifctV3NS31dz/pVshVvgfrJ7RVWp7ydrfayL7OLE ms+bBHTBA1Vlhwd7OfHH8F3r5uCXZ1tijw7D/J/lqnDyoT7/smjWPc+Je7cr C0WD3U6JMxescuLEjxoX3oGHzlzLfkrDhYc6J14Wg7+rl66e5uLCh3f+jp8A y5xbSBLg5cIyGRd0GXwhP54XU6MIcOH7594eFgK764Q+eyfBhfdE5FrpU99n 1i055ivLhYN39ZTeBetfmf9rpMiFl9J+q0SCDxtdlSSqcuHQM7KVTeDxm/sq XM24cEzyk1dmfpCPrAxua1tx4aztnJJB4CqbJ9wSd6B9wkmtH8Cpd2aN/3hw 4d/XNBxp/WG93f9GORPHhXlyB9TzwbUheuLcv7hwmfXrHJVAWE9Pg+rHWrmw xgV1FXdwesR/zuXdXNhCTcIjB8wbNcWf2M+FBbSfnBsG+8XsKb03xoXVH6+l CgZRyHNxupaXZuF6fTru+mDTl4EcB5e5cHF2VlEYuD6h8CP9Fhf+LHTDqBIs 2ECRnKYlYmeOXK8ysN4lIsGIkYgZLRs68sEhTQeaq1iI+GXg/OM34NUWo/vJ RCJuKzU46A9u6/xeoSdIxHNYoVMZzHGtO+77HiIuFbazlASrdC/elt5HxF8v Kn/eCc7rESexSBLxTukbv+ah/WH9YSZFx4iY9oLb2TRwhUW67IGTRFxh80Il Crw+WEofg4n4T7SKtTfYZmQh444aEacFPr5kBFabNFwS0SNiO9rrTdvBiTy+ zY8MiPipvaQXA3hBKfND9zUi5tcISlkMgPNT8JpljDkR8/Adtm0HU3L3qszf JOIsCtuen+DzneeEta2JOEbxkc1/4FWx+A4WByI2fzrd8hqsfbE8/9ZdIlb8 60gTA37rOhFe5krErPuDO4PB6wk8dsLuROww423mBb5ccULj4UMYP9qteFdw xoTFvi4vIvaZWQuzAxN4QmmO+hHx0ciSYzfB+kqf/jwLJGJVva5EY3CW+Z+v M8HQP2sesj6YNpgh5nwYEQv/vPNCG2yQe8gpI4KIvQR2yZwDZ3foXWCKJmLx ezaeqmAGgqeERRwRu0zX+5wGG4m9ZSx9ScQKXPXHEDjvQn3f7ldErLJ7JfEE mNmVUuyeTMQmaCDrONgkQfBl+xvoz93dxsfA+eWq9+TfwfiY7k1XBLNO2F+O yCJizs1r/lSbbouVnvpAxD+IbONUfz5OZjv3kYivearXU3/PaT48nFYA8+NM EVECWzzmKqcvJOKym59/U+9fmHM0yewbEed39I8qg4kd1z2KS4j4M5vXyVPg W1uBBrvKifiCjWzFGXDR/hx5t0oiJrTK2VP7S7rQQWytJuLdhRdENcDWLoRJ 2XpoT9oHjS1YbyXx4j/DGom4nEPkoRqYt1z7zXgLEZ9xGyCGwnr9Tnpt/OY3 ER9PDJKk/v8Q+I7/PEb7F9aHYo6QNuQXe7PZ7df7iLjl8isN6vvAu3JO1fON wnzmDgvSUf89+XyfcggFrl/332If9bzozLprdIWIs+/blu4EC8cfXjq7Adfv 13hM/ffAujGfD1t03Jgtey+l+D6FvD9or/Bdbm7sb1fy9o0r7D/fLWgMJblx aMAf9ToHan3Uxf9Qmhuz+vO+kQAzlV6UTzrMjWn+ye16cgf2f/JxyyFFbjy2 s5de3x7yt3KOF8sJbvzEtLe+xI5Cvvlt3wtJxI2z5MOvS4Oj/iPWOZ3lxgs2 j935bCHejgcMRatz46ambL1ntynksq9rW1/OceP5KpHnJPDc56HDW5e4cfAj +VlBGwqZ5aiRlogeN/5PMuhiljX0r6Dx5lkDbmz848E7ZfDF/KK4Jybc2FR0 vt3JCuZP7nBethk31ts0meQBe+al1TRacGP6VUGvIkuoh2V3Dy5YcuO1ynvv rcFZOZGbO25z4/U9FyIEwOXSzHxK9tzYfj+faustCvl39kNZE0dunOxTP/AM PHdoXtPbmRun3P7jZwBmfW9lkXqPGwve3H5iL1hEsudhpTv0p/Wl4MJNCvlY 5uXYsYfc2M3mt3INWFviZw6HNzfOPeP8Ph1s9U65WsaPG1vNH7wfAvYSz++/ HMiNV1X+ZLuCY9MObLgGc+OGRsurluDs/a94X4RyY3HzV94m4B9veGS+hXNj Mp+SlBG4RzRYo/cZN3a3Kb9hCl5M2TKni+XG9X/9RW+D2fe6eOx/wY0vpl10 NgSLJo9FayRw45YyhoFsCzjv7zH9YJvEjbM13h9mAl9Oaq16msKNz/BKv7px A+qzxJK11nfc+PN9zpoD5tT3bRW2r2Rx46m1rwxRZhRybnymlEAON+bcKtKl A/e+iDEzL+DGDNWSQnPXKeTlnewP/L9y42LZK0QnMNdz76j0Im780FyeZtkE 6rNY28qp73B9xadlvGB93r5e7h/ceNe343Q5xlDfRF9Zlf/JjX96NAtqg/14 6rYZ1MJ8MjzVXDKikOOfnT704Bc3jrcx/voGnE/6oprYxI13s3TEXwPXRBwy LW3lxm2SMvt2gvuIKfcHOiA+/Xd791yDfPyU7xlTNzdOcKv9kwkmcYVlSfzl xh0qtbe8wQfC6H6c74P1wbhx9joYc9z/6zAI4/3kYcpZsEHI1PKzEW58geX5 G3nwHTYL0udxcEq+gyQ4ILjzYNcUN9ZqOCF2CJzIcvHsxizEZ1zkqAL4U1C5 ifAiN07MWG7VAKdr1vAFLnPj8qWIVivwC/ampsk1blwtndsdCQ6t7wjR3YL1 5NTBXAX2Cv+r+h8tCQeYHnJmhv7d1RkiiDCS8K2Ua0d0wbd4JguDWEj4xOl7 1zPBV9vmnafZSVimoIeGE8ZTK25VSp9IwmFVAuIeYGRIM1q0jYTjjlZ3LoIP CzCn7N1BwjYid/gfwPyI9nAaB/OT8OmTFqNsMJ87krbvmN1Nwm2/Pp5KB7Oa CzRe2UPC+MHqTm1T2L/27n1SLErCtjVqFtT46EuT2XpykIS1OD5tPYF4arU+ +nVOCn7fxbPbDOKt6qDy3auHSbjoU6HKKYjH9x/ODe8/RsKr4urbRGC9JTnq vA49QcI5hXTGIrB+I+WuXltAJEyxvk2RhPXv9vnWr1JVEtYkyAmbQj65fd/u sbgmCbfMde8LgnxjouR85ul5aP8X35tfIT+dIXt/NtIl4ciQvmMK1HznHeRY doWEDXJFSd6QD8XPPD0ocY2ELzDJZTY7Qn5miBkMNyHhHgn5mEN3Yf+pjH+1 ZEbChXY2xmHOFDLN45SrJjdJWKWT6LdIfR9YM2NbhRUJTw16rseCh9hz6w7a QvtSGzId4fud9Z8DI++QMOsee1MNuF5tePGpFScY76KnL4WcKORinYq1665w vRShngXq32/bmu4cekjC4sPiDxIhH8fGdR6I8iJhvqMSrXch/wYb9vav+sL3 tz08ogn9u9MzeaUqmIQHCpIJ65A/jw8x4xtxJKxQq6HjDfngUDrX6s+X0N9r X51tYbyFbXjzZV7B72tnHY1gPhim9opvviFh/h0N9Vowf8sfJPos3pGw2w6P bRdgfsccZeNrskg4Hteu68H8NywqE59/JGHa/Rl3H0D8lH0+W71VQML2GTfb n0P8FdzX8rtVSMIvvKaelED8vty4uixXCv2x+fJA3BDqN7Jp3otyEna2Fn9g cxXi29vSlqYK/OPp5QIDiGcGl976ehJW9xRfs71CIfML/Wxfa4Tro1Nr//Sh HlXc/Uu8Fb6ft+ObKdhHx/GHXgcJd7Wz+YzqwfzaVnzz+U3CIoW8jz3AY/47 P33oIWGBXZ85+cGJr+yyuv9BPG390fquSyHrfC1NYRmE8RH47e4CZmze/lJh BNaTgEadHLhwwjryxjgJE2pWXDYuw37OWPw/js48HqqvDeCKJCEyZsy+UEkS kkrbkySVkGhfbElZQoUkyVqWoiIkS/GzS1KEjKWQrZIipERZQhJjTe9z3z+/ n5k595xnP3fuee71sKHF4E359rARmcdZfPXF78UQOTrP9wnyx/U27v2jiyFb znpjAnLQvsKzlAmcT0DnWBTyZgepU7rTKD/amsb7yCMBlsedZxdD3vPG4Wzk 5IRnZnFzZMHE76NDHfLBQvE9tSKycLD2l4UAWaLpuO7EfFkw7tr9TQXnVzqY u2HJQlmQrvMWckI+P3/+ahMpWfgvw62Gj6zEPaJ8RUYWGlkHdjFw/e3aj7iZ JFkQPewQ4I8cZipM/USRhW4m7eo0sq7jAWlRuizoeRSs80L5TgRmzF/NkgVT i2spkqiPzMR/sye4sqAvFlWRhmxetE8QoigL6bJZXiaoP9KHlMHny2ThRtjK yvmo3+qh6e4fyrIQ+VTM9zWyp5hxu6yqLOg6xkffRXtQ4yW9B3VZOJqR2eeM 9tK9YaLGQVMWJn62SjWgPUWZGZTHrMXfb5cp7MP4ZHA24XmVtixw9iv9J4r2 mvdAP5W7FedHLudtRXv3WxDt/2GPLPA++ds+RH9ZpzDoOXevLMz4z1Q+Qf8f 2Lj1/CpTXK+0lxMf/d3Uqc/y+mH8fcFA9yvi/H7zeth0CuXV7f7D8zLWU8Oh a8+ckQXDd6upZsT9X/FvqncdZCFsVa+nAtZzo5uCmL/PyUJrZvC9BKwHUw90 kFhushDzPVzXkKifnTUkdnvIgkSX8PQv3F+8TGqdSvLG8dQKHkoGYzwrUR15 5ysLh5/OZF4Lwf1vi0/fbIAsaKwZ/j0WivXWwhUtB0NlYaCVH50cJuDrL7ny xj9MFkb0z0NPOMbfze8rc2+jPewtTafeFvCtXC49lYiRBSG9sNtGEegPGh1P l9+XBa/9/lF7IjF+j8AzvQS8/mLtwQ13BfzPjx8+s3qI6x2/c5wWJeDnOIvm e/8nCz9+ePJ7kX3VT+ffT5MFtUU/e/+Lxvz9uza/MFMWNB9PPzeNwfz5WLWg +ZEs1GT9pYwgzziFF4zmysK1Ju8hr3sC/hu10QKZZ7Iw1Wu5ahr5wfD+56rP 8fsmbY02sQK+a87z57uLZaHBzr+5DHmnE6PQli8Lz06e1pG4L+Az1K4U+pfL gk6eMFsPefhXZ+GDV7LgOLXrylnkike6Rfxq1LdN3qVryJFnU4raa1F+F7RW hyOfXiVePNkgCwLSrtrryBt/2ReTG2XBmtR/1gVZ+tGb4tUfcD3NYft2I3c5 arwwbkF5bNd8REJ+phrxwqFNFtr7t5Q34PyChsZfBHXIQpxaaONF5GPZh0tS OmXhTP4hFTKymuOLkpfduN5nG3hJuF5hVQ6/s0cWjp8gSSoifxz04c/2o75W ChlEorzSsr7z6UOyELBsu+40ytfTQb903W/0r6nNFvuQjVZmlJqN4vjf9Enx qA/eoGSZyzjq1yK5qQP1J8h0Krs5JQubk63Yssiv7d+XZf5FfaXruG1Efceq aJW/FiLB0oQK/Ulkp4Go8h/CJNBmPJAi5L8tc7pceD4JclsT7j5NxP2N/fEK jjgJBszf//z+n4Dft6KsYpMkCcwr1i0Zy8D900+Fl4elSRDZKuzUmSPgW9r1 vbxDJoFPutaOXYUC/poVBq8eU0lQnmh7vaIE94c/s181MEjwskx6p2yFgP/o zPlKMQUSHDe8661Wi/FbublyyVISCALydk43oH31r6/SWU6CMG2l1Xcbif83 /lV5rsLxK5N+bPqE9rTcsjpaA78vH/RQrx3tqe9l9bM1JDh6otKG8QXtKW3Z 6/frSJCwwvVYSSfa0+mg18MbSDAzL/L1im60p+WDryW3kGAkgDrX+gfaU69R jbIOrjdz1sWmF+0pNbdmx3YSSJw8dl+jH+3JVq7WWp8EsPYcpfon2pOSe+3V 3SQQn58RsnSQOC/TWhtniPLtSHixZ4jo77SprmgvCb5lc703/cJ66FRCXYsp CTxEl/HHkJ8uE64fO4DyuN/g4Tos4F/rOVm/+AgJlPh7qvnIR1Oq61cdJ0Gp y9d375BXnVqBeZkExSfzPmYid5xmn82yJgH5nPE3PeQQe1lpKVsSnJ98QEnE 8bXPzn/saEcC24kFtGKcT5/z9N43jiQwLVJOi8L5Rp3/NbLKhQTZiY8S1g4I +HpuXbfDLpBg6OrseDSud/Ris+ZvdxJY3uopK0V5PPSs/bDXkwRaDQYqWSgv kyt819wrJKh5UXbFHOUp5POEIutLgqkYBXY7yjvbL6XgXADqr3h5IPcL8XzF vUNN10lwY8vQHg3Ul0TQzSnNUBLkdDjypFGfhSG+9yLCSHC6f15d8QesN2/Z fd5/lwQN+PUgtIfKOye88mNIoKJrOpJdg/nt7j62fBwJxsY+hKRXCvjvYjdY fEoiwabvnnqr0N6CUxZ+P5JLgrnLrZseo71qp//zL35KAl/fFR/eoD33Zv5Z ynxOgsmOb34taO/bc9tsO/gkONy3iPwU/Wc0782CLRUkOLFlZcaNW2hf+RXp 8ZUkyHribXoc47FxYf5uoRoSpP9nJ7bsmoD/rzhjwLyeBDsfwb2t/rh+fnxo 2VsSXI2x+HoDv3+0/LYqr4kERd1zNuRgPH5edcmpq5UEvZMq7y2Scb9Yc1ZG twP9hbzw1c9M9L96q9ykThI82g9rNuVhvd+4e/RkLwk009QerSgnntfYElH5 E/21vTmjohrrsebVWst+kaBEO1mC+gbrvc90994xlM/6k5F/WjHff1lE3TlJ ArFbu4fPf8X49U24MG2GBGp9fxdlfhfwe3p+Tp8RlgNbdvqTNWg/kf1fYmtF 5WC767UH/n+wHhh8v0lFXA5mpn1VAsaJfhpVHSGSckDOsj2lNS3gJ44UXRmU lgMxZfGbEbMon7FHHEOSHLQp/BYhzm/Njj8sy6bIAXjNNT4uMs7PnLpruYgu BxxtDqNKdJx/5G+wsBNLDqY2vVz/WWycLy7knfSWKwfvKRH3ifPYBXPPb1df IgdB1aMnZCTGsT60/RGuJAdr868Xr5Ic58uJHQ0cWSEHQ5/LZGaQX4obK+1b JQeuxsZfXaXG+S6Suq+faMhB3orkmgRkjvS6MyQtOQiTMb/jgfxmscrCC+vl QET3BXce8mYHh757G+XAwyr/jzGOl12VXVW+RQ6MT3jePoTXZ/GGk/t05EBa LEaEs3Ccf8NT3U9aTw5uqAZYJC/A9X50sVy7Uw66ji9p658/zndQz4PjBjj+ ecOC3/PG+e3BYyx/IzmYZO42KxIe5xv80PqbYSIHu0+bKexEeRWDe1ujmRy8 MF2cGovyVLn3/PnkQTlQjVhwOR/lvdB4o+uOE3LwwWfo884xAd8j/bKpo6Uc mJvbTr/8jfWuCF8j4qQcbM6QCZZC/695vvXXNzs56F3Z3EVC/9Um+dYvOCsH L/WnKz+gv6Y7vsxQc5GDlVwlI4fPAv51hR22Xu5yMBEkobS8Ceu/y9f0ki/J QXZk13wTtC/blteKdV5yMLy9KO0w+qN+qEEn1V8ObA4qt5FKBfyCnlA+XEP7 WRJ8uBbzwTKdN/dPBaP8HJQ97J6ifcVKe964IQebAj/UjD/Cent87+Gn4XKg Zyn/wyUd4/fe2+va78jBUckbDl+ScD+V0UQWjsLvS6iJQzzmB1Hy2PJ7eD2x dbYNcQL+K/MD743j5MDuYy/EPxTwNYuiHrslysFvNbfFJ1NxPyXXejMuSQ4+ ntr8m5mF9WHNUYOBdDnw76jcYfFMwNfRtHwVmC8HnxMC/05VCfi5Nx4+zC6U gw3uq/KW1KG/9XVf/fBCDhgNFcw1b3H/F3dqs8JLOdh61slruhnz6UQqY1eV HHgZBOs/ahPwv5r0TznVyMErETP7rRj/Suc75Je8lQNrwwNtU+hvapbZEd/f 4/qeSRqz+3C/W/zrnESzHHwNWerCwHgsTVE3Wd0qB+Xvdo4Oo/6uOLuoHf4s B0nCzyPuoX6Hap9IXf0qB3KsVB59FPe7S8cGUrrkoD4h4ryjAPdH3lq1DT/Q HmISXe5M4H6jzS1trA/ll9QlEzKF8WnN80DGoBzMqeCbmc4I+MywqZPbhuVA eIm28cBfzCf9G3TP/JGDk4928vb9w/yre5kXLpADI73lM4FC43z7+BKhgkk5 yH2fwgxCe22f/NfRMYP+N+T68eBctGfTrS/mCZEhTck94A9yUbbPPRVhMsR2 iMUdQnsXNTCj3RUlQ8i/1wYhyHv7lkXPEcfP33+X9UaODZii2EuS4disi7cm co9CfeRHaTKsHu1am4bjaZTFy20lkSFb0n7iM17/8nGXOxkUMqhWW0Q34vyq p3VlyXQy3ODELQzE+ctGU255s8hgPt5yaBrXd1yrX/onlwzFR+emrcL1p70v vmm2hAwmJVHrFFE+o043pUqVyBD1ftryE8a7LVKWocoqZBjeXHzfCP0tKENT ImIVGc6/6rkYOCLgf9CfH/xPgwyXpU2SrmL8tPPNvNa0ngwzV9IViPz5jHNl /pZNZFhSc/GEKOp/TsnegDTA9UyV5S9G/7s7IfD12kGGnLUvqn1asF6IeD23 bxcZ7E9KGfe9x3i+OvbqPkMySLfZh9PR/yoctl5RMiND9YYGxf6XAr7UQtLs rYP4+6UZGkF8Af9Q6g/Pv0fIcGvjFZe/z9H+tz+fPnWCDI23dCX1MJ/8+hbs 0WhJhmll+i6bbIwH3scnN9qQwaJ73w1z9Bd/prp7ymkySJHElv1Df3lbKDwu 40CGS/Yn1izF39MPfrzg6USGoAz1oo3o3zZjqaM/zuH1vr9asQX9//GtS+f2 upEhQfzEfGXMzzvqOc5Lvcigo2ewM+OdgH/rzJ9fYVdRHhkBM9roP5/nVzpO +5Hhb4RQPtG/5JyOnf3bYDKMP89M/ofxquTLpp/aN8ngWfeQ34v114LL0meS b6G8r93KTsD6Jz7/6SmPaDIcKep/5zyJ8c/02o/uWDJo3G5L8Ud9rxk5fNIo gQz1e/h3j6G91KoIWSmmkOG1SK6qMeYbck1j5410MtyUe7vXBuO5xalk88ks Mnh8Tbm2FvNBpoj7F6vHZHilva+9THqcP56463hDHhna7PZdEJYd5+tsYX5e V0CGuwd3xE6Rxvmh7b+OPCwig7xIdGEyeZzfcrG8VZJPBocjvCPC8uN8BUrE IfdyMrANXisvpo7zHfNOtXx7RQZvtuzkW+Tne7UP7HlNhj3MRwWbaeN8kV8S H/PryNDvNHHlMLJRyBdT3lsy+Ow7e10BOWZ57vuQ92Qw8FyuGY2//17pZzL+ kQynWtaLFOH11KwPvLNoJYPIzUUPr1HG+ZfmKBvXfcbxTOu+zMH5/dBd2LK0 kwz/CoaYajh/42sDJ652I6v5kCUXj/MLa+t72nrIwHnXJRq9aJyvuOjRWa2f qO+L1sZNmA9vmISNhw2hvcQ7ufMx/01EOF/5+ZsMhhdylI5gfq9jaN5MmEB5 xPC8UjCfaZnLUaan0X9sA1UOo78lPBTEmf1D/7cLu1CG/nVB+Xm2uCgFdCwT PZ6gvr86xGidXECBBwJxq61oD7seXyrhS1DgsEfm5iCsZ1jrNjecl6XA5vTS p6aYr65dYu9/Q6bAcEv9/dZ6rFdKhDqW0yjwjfdFRhHje9X2isEODgU0KxyL F6J/aFxPurBekQJxZ9ccevQY90t1/n9vL6PA0vzhPVzMR6LSp/yHlCmgGGL7 0PoBxvt9+pI7VSmwsWzW1xP3b62RyyMeqlOgP2nHBnusF3VbxZmzmhSo65BI +3wT4y1zIOngOgqoXZZnqeDnVIt6lScbKEB6ri3hfAfzUVJ2nuQWCni6NYhn 4P5sqOfmRlsdnN/I7qIW3O+VO5oYMHdS4GDqx4EFuB9VyV3d5GZAgcWvO3+I Yz6MHCMdbTSigHWhj/9UAsYfz2a7wP0U6E1ZpJCI+fMjv+BP5yEcf2xq0gzr XxCOubTxGAV8bIWWjqUI+KSgo8G/rSiA+9rnQ7her/pNsganKOButNNiB9aj vdLse/+doUCB/rv2AIwHJqZCCnMc8XrXaY6ZGD9e3O1MP+JMgSF/L+t8zOdK beUaz85ToJGqy0zB/eEtVlKhtDux3ufCl1C+Mxb+OnaXKJCquztcIxfjR7JN zSsvCqjG3t5Tj/y2d4cJx4cCASJnGnY9wfiksrzVw58CLu4/89OfEP+Pi1t+ uEaBmtkrxQPIi5787FsVguuhtcdKY3zyENQ5B93E+TnOLiMjd6/Pnuy+RYGJ zOUb/uL3DS/fvLolkgKifa1lr5ALSp0WxERTIPtk8dOzyDwRk/DRWBx/9A5r GucTsmM11SiBAgJhzcW2yIIgUmLaQwpM2R3Oe4brsWgYUxJJoUAULUGrB9db J9Occzwd7SNnf8skykPLrGDd8ywKRC4//WMI5ZUQFV0q+xjtI31dUSXKU7zd Q98xjwLrAlxLrqK8tdzSJG/mozxJiyXW4/7FYnFL46NCCiTI/5FrScP56q85 9ruUAk4bezWI/Ux3lxVv8Uu072PjO5RwP7Hoyq0ejSoKkN9NMuywHrJ5+sv5 fD0FwhqPOeWgvdwyZq2NeEuBWcab9XloTy9+Gsw8fY/2oih0iLhfQeKlB4x/ wvELTEINcD9UdsP6nscPCug92aT3HvczA8tvm9/rw+vFHp80Chbw5V+VLSke QPkeS3zOx/2Q4zQr5+8IBaq/S+/y9BXwYyL3XGAJKCB1ZTu71hvrNXVP7S2T FDBm6iyU8cL9d136vxMzFCjtsuAYXcL9ue2nl97/KHCcOeYa4I71pbBYUOJc edBqnG+X5Yb5IU7LqHwe8lhH1Vo34rzMSVKXmDyIqbRUV7livdt0+5OwhDwY 1Gt7HkMWnC2PU1wkD4tN1w5NXBDwuQt/W21fLA8hswKlmAvE8yKGQwHy8lBe FkMh+k8mtXs+SaHLQ0O1xscE5DduGe7VLHn4liJz7hDy1OLWTX1ceaiLl/tF QV6aLSYsvkQeHI+d3tl+TsDfu3NttbKSPNhbhF35D9mz+2To7hXyYDP3XKgr cuqVOyb2qvLgKn7GwQD5Pa2CEqouD/3jO+WVkGef/m7P0sTrfXHwX4CsvJfz oGGtPARMl6UPuwj4ZgOGp35pywOjo97zM7J34GUV6c34+ZGSoTfImbzM32pb 5UGbfXakCrn5ReuzvbryYDl1zv0V8txDCzxddshDdw/XqRpZdXTt1tu75CGu 4W7VW+TDN21E8/bIQ9S/SrsOZH/liNomY3nwcr+k/xs551VF2Ng+eZjtsdIn 5tduPmJGPiAPqZeoZkuRxWY49LWH5eGM67ID+sir7xp9PXBMHtIjFmudRT6u 4ZXsbo7z0zVviUEOqs88E20lD7aJ9xVqkZ/Ztq0qtJGH/UdsZv4hdwqLj7We lgcRSzu99SjvddqnrjCckH2uFBQgW32I0N10Th6ahCIeziLfcHq54LirPLTP EwrQR/1+/497J95THmaOzGT1EP1W/Tonhb3l4bD9gKgu2seIZeIJW195OHiS aZuELMTmrlAPkodi2q8QJ7Qv2l1OefldeYhZYaaufhHt58LXZcvu4ffnmSSl IivtSwgNjpMHc+m9sTwPrDcWcQ6ZJqP9FdXtYqI9Gweyh7/nymP9uPr1sssC /oGTX8x2PZMH3orxsCzk49vii7Kfy8MuvasqmugP1twTXNkX8qA7T8uqCNnu HyvQrVQego6KzegQz99+7hhoq5AHj8SrL4jnVd2L4kygCu35/GsH4vnGK9HH C5Jq5EHpWVbjJ+L5STcWa0GDPLhId3KeIIeadfg6vEN9H/amW+Hv76yO63vX JA8DN3pH6Xi9xF/MpzFt+Pu/kr/ScP7Fp5gGKn0ojz5h+a0oj4rtnx+HDciD fF+PmQ7hbwr3KWO/5OHtKi9pI5Rv8xdG1wuBPBSaWtQGo/46XrTr86bk4Uba pEIx2k/3vdjsgL+4/nvc9AlnlP8BhoeRCBVsz57KjnQS8CfXtH95Mp8KKhfn 7p84SzzvErtdfiEVGlLsvWyQRUeOZHhKUUE5+ZNqp6OAL/mWLtMpQ4UmsvFp W2RSdpvrdjkq2GfWKs84oP5C7rWnyePvhU7YxSJzzxzRkWJQ4aOxGWsnspI+ PdWFTQVDEVONucirlrZJNvOokLrAM7zKHuOxyL1zG5ZSIW9uMDcaeeO3w5/i l1Phx9aZClfi/8VS2haRlVTg3F2+3xx5V1xrkq0aFTR/2j02Qzb2jBGvX02F a6kbMvYjHzh82El9LRVyfhvLWSEfX0f7GKFNBZ8HFS88kE+SWzdMbaLCGeaK s/eR7UejE49vpUJB54vhGmSXxkPzK3SpUPfTSVQY53sxh+qwTJ8K5z+TnbcT 55VvfGoM3k0FwYDXUDhygH30umFDKujcu72+Fzl016E4UxOU76qL4voorztK VJHnZlQwGcsgP0Y+enxpStdBlJfSiBb9LNHPePUuqaNUIF/81hGCnPdvT5iV JRU2yuYV+qO+PNccWX3jJBUKt41YS6A+de1sPxbYUiHI7oVvNHLTRx+G1Fmc z7YD00T8iZUI469zoYLei7l8a7QPa537llYXqCDuwKgnzvOPZuWnFlyiQnmE dfgJtCdZ/wFNq2u43ljmnC1Ev+nCyebQYCrcWnj+1D934v8E0UsFN6hg3XP/ Vjn645mlJFZXOBWGV+erXvMgnsfjlklGUOGQqlUPkV+mwlWt10Wh/sc/nyKe rymv2jDf6h4VTlzjRvKQg/7qp4fGUWFv0AMZ4nyTyer9ewoSqaBeERRFJc5D nbYa/paE8ysJ1o/D8b/FOd2WTKVCV8u/DcuJ83xNl7XWZVCBn/nveiHOx0U8 +JNlNhUmDNz0TJC1Icoz9DGuR2eDzzDOf65rMrsgjwrBZszdEcR574zc8m/5 VHhCm5MJyLc6+Scli6hANxzOHEH/O0ypF1tXQoWZEdV9xPlX3p7WDMsylN9m o8QzyP0+PYahL6ngrL/9rhpybsHo7/wqKpwM8dD4i/7qMTQn4lsNFWxWdDq8 RdZRXLROsoEKNX9FddKRxQ8z2ta+o0KbvVJyEHLjzeVelk1UeEPeFuxM9ON+ pcUNbabC2U1KP44jW05ve5nfivL5dyPZBFlZfe+pb5+poHVkab4BEV9tjotL dlIhUChFdA9yYaxd1tpuKvj1dl8m+nv7NLobW/ZQ4UjxVxFz5F1iAX9C+qlw dP6nqy7IMptvR+YPUkFI88gnYj4t5xLWfxumQqiZ6VAqckJaVrvEKBXulHAf 1CHbfim8snacCtOWiU1jyGpy1TzLKSoUzdexJvqPT+z68CrkLxXEtsiqHkQu 9f5mmy9Eg2n1D5LhyMYDM9kS82lAWzfjJoPyl+eJm6wVp8HJb1+eHET+eoAy ZiFJA4O0N7ZJyE4V6hvyZWkg/Eknguifvm5yc0cnmQbnDJWeJSALrTK4KkGj ATlh6sEMcliMTZUFhwbvqyjKWKzy3Vx9znkq0OCo0JajCsR5TpM49t2lNGhs qfMJQlYR/+hWp0KDXW9ejJujfb6+uF1p7Xocv+SOy3KM1zlmFk17N9LgenDM pgTkKPXL3vZbaOA9zbgmT5xn6MtrSdxOg36/wTbi/QlzDylelzChAfW5x4Z/ VwX8Pk1Ys8yMBqy3GaWePlh/Sx/t3HqQBtFvonWnkAsG3EKPHqHBnb5jd92w nouvvr3e7TgNrJZsvD7qS/QTevQ93IIG6/wy+538sP7zrg3PtKZB3D+rkAFk s6M9m6pO0cDmSe0nGX+Mn+uE+zvPIOt0y9bj5wokduSMAw22uzaOXEcWH9bW oTjT4NKd+kB95JYUlxgDNxrwy9/I1OL1LlC+7cr3pYFX34RED87v6J+/gncB NPj63UjyCbLuG+rDges0OK+9mHUVeXHg3mluGA3sl58OJM6TTlo6pGy8TYOY hOjecVz/183X9x2IpMHQ98t2DcjZgtKMkFgaMNYFtV9FjmhsP5AST4Mnyva1 x5E9syeEyx/QwMTT/zPxPhfrIFJOezINSlkz0mzk3TZqR8dTaTDxj2M19yrR 78NAbHEmDVz93d72oPxpLNs8lUcor/5i0zfIc6Z8zXfk0mDG+1d/AXLvh3gJ y6c0KPhkFppEPO/+uKjAs4AGu2v919xCfhbabH23iAZfLOzarxLnD07/kc4t QXk/NvIgzkf4bV/0oq6MBm03voieQrbjrjjd85IGSis0LhLvUzD5qyc3t5oG QVFvqvYRz+N/sixj1NJAXSO/l3ien/vUy2FtAw1u/zz5bgeyWHgM1eQdrjeg 3VWXOG9h/+yVfRMNLmQn1xPnWZr1G50Dm2mgMtv2muASxSHmg1YaNPSuOkF8 P1lIvKb4M34eOuhNjBfSvsS1+SsNPjnN5RHXO1ewlTfShfbAE15D1C+H7xxr kOihwc+XapnEeWLGE3G6XT8NRFbc1bdC/vIu/9TrQRoUVl8+6Uichxi2zlv2 G/UrrDns4U28X2nxnIBR1J9x3odryEtV+Xu6x2lQ3ZIxlzhv02dgH6MzTQPL 2atWqciOQZWr/82hw8o6Lec6ZLW0c97H5tEh9Vf12BfkP1Wc+iIxOggXZB8j 3kfjPu+SjfsiOmR2afgT+vbxXhX9m0GHM5G5Q57IuvHt3404dGhzDtsVgTy/ 5LpGtgIdrI+1dGUh17RrXZFYRgea24fkSuJ9E9NdtWeU6XDLr/cS8fy+IS1c /vVKOvwND907gSyzfvPJZep0EDpvsVgG7bfpwM/H/pp0qBs+5ilOPH/vGjXb tZYOMX9pB4nzAwcjtu/W2UAHTYayCfG+GXreyN2EzXQQiDhcsCPe3/LbQP3Y djokKYufmI+cZj/H+qMJHXLDh1MMcX32wdk5mvvpoCdZ1qpAnH9JP/L31iE6 1Hw85jKF8SS352mkkTmOp5T5lThvdV7UqivLig4XUpRKiPNga5dIq0mcosPL r9JSRH1ZbHnmdbUDytdzjwSHOL92lUJe5kyHG4+ai4WQtya8tPQ/TweFRTrd 3zB+VX5mzWy9RIdFazwiM5CvzdTqJ3jRQTzxAvsW8m76xYjZq/j79Dy6B/Lb g+9Vi67RYTrv5ElD5Ftu3peoIXRwiruSpY1sFrmy2u0mHe5d1jyuhCz/tJX0 8RYdBgbbz1GQW98HWmhG0sHX71z/fOTYEc3sW9F0MNob9WIS6/MTMt+mhmPp cNjwTu8AcT5R7eYOowQ6FBcftekk+icYbryT9ZAO0k6R6s3E+UaHvq8LU+jA EovWJc4zng6JXHkmnQ7PqC7RlcgqGds8qrPoQNHrXV6KPPR6uHLpYzo0bfX6 VYic03tf1j+PDqa1F7qeEf1X5u8278qnAz+scfYJstbSicytRXSQET2mnYs8 oZs8GV9CB68VyTceI3sWxfu+LKPDu1Ot3QQLacRI9r2kQ+JlBx7xe7/UO3cl q+mgs6sNniLPZ9/katTSYSLy8voC4jxvxPWM/Q10CGwLmVeMLCXht+bSOzr0 C7hxxHxv+Xjx45voMNaxduYVMnnSfefLZjps08uSJ/qxx5w99763lQ5H1usN NCIzfzgck+xAfeRmnW0lziMfte1R70RWdLv3DVnxvaXz/m46zPnLtv2JnLrz 2LRHDx14LJmGUUJepQf84/vpIGKU8GoWeXWWQXTvMB3KvkbtIqG+ninsUJAc pcPCusPVbGTtmK1Z6uN0qPZ1LFiBXCK9ce3+KTpYlXcsXoesE6hV5vGXDo7s jDe6hL39VdsdL8SAiJv6qwyQd55f8aFCmAHrb9l2E/0z6vqXnOgVZUDrr+DV qsjGFpw+CXEG5GtdZnGQm5pp59QlGbBM5t1/i5EPGsr9NZNmQPy9nvp5RD+R DeIy8WQG6G3umBnE+X97LHKvgsqAd3a+ol3INkr/FHsZDOD8csttQXaUG12n rsCAMd/3I4R8R4KHys2WMuDChtDAF8gX5vYZeCxngEvrJj6hvwn3ro9xKgwQ XZIUnU3o/9dn84pVDEjX3E9OJfRv09Lfo8GAXL9yzQeE/tsbz0toMcB6Qm00 FllsX/2s2noG8Noq9kUhB7+uuma2kQErWt1N7hD6h/LFHlsY4D6x/FcYof9n xbFxOgy463lD6Qah/5X5Syu2I7ds+BtM6P/h45wefQZQQv6zC0Jm0TK1JQwY YCek4HIdOTHsv5dqRgxQPvFDimDF+YmGZiYMmGc1HwhOvXyv5aIZAzp4V4SJ 36uMRljGHWSAVfPyA8T4OWfCBsqPMIB1r2pdKLJmZ5Brz3EGyC/5m3wTOf+A v5CEJQP6LpvG3kLWbrgSpHaSAS8ebaJGIpfoepDMbBmQ6LSIFkP0Xyg6H3fR jgHfq+bHxiFXqp9VinNkADvbIPYh0b8h9XRuuTMDhlMGKGnI9SzrjT3nkY98 WfgIuWnhIWO1SwzYF6FiTPjLQZ99raZeDLCUWhBTgdw+scf64lUGhKhvMqpF 7vqu414eyICJ3Q2DbcT14xseKAczILDQ+/Z3wj8OHq6/dYMBxgc3/veLuD9Q 68yzimCAuNPtfyJEvMpJqBN+yAAPp7oxov/E+jMq43b/MWDbl2vuQNR/CgXc pjQGpF102LIHeX/kG9ekHAb4Lrrtewq58dIsZ3sJAwwNJ7bHIauvCdqdVcYA 70Vrd2cihw3Jucq9Qv09NLQh+l38SklMuFzNAJnd9PBqZEOLlbXfaxnwc/Tk q4/IWbTnY3veoL14nbrf5EU8n6jLedbIANm120LriPsXoW93sT4yoP3B3ssv kWv0jl4I+MSA80JmTsXIy4V644faGeCVM/d0HhHvn5+r2f+VAX4hwmeI+eip BLOX9TBg3emTN2ORy2UKX1eNov0W9WddRubWbh9dNcGAoj2vV7kie/u9Y0VN 43jX4usdkTeP956zncsESssaG3PkwnYKa4E0E8IUPu7YTpwfj3yo7yzLhH2d gT82I7sbrTr3icyE7xFKuUS80CrXq05jMuGI3kCzCnLEpcYRGS4TDm96s2YZ 8qjmcaaHIhPONXOquci5KRdcdq1gwug0OZzILzIWc+7nqjJBOJBXS8QHJ1po FU2DCR7rzoAU0Z/nvfyIzxomhPzwHVmArBqaxPi5jgmb50x+I+JHqJ7ajn0b mbBgo57sXOSBf0XORVuYMKjW5kfEw93Pd8QqbGPCnRnq+mnkdJf3lcF6TJBu 2q8+gbxA5cTvPzuZcOB2syPRn8T2ez/96B4mqG5/PzKCXBXnqvfSmAmaSc4l w8hLD851VjFlQv6dmsYhZH+ZG/fuHGBC293vakT86q6hVs4cZsK1tc8/EfF6 m1/ysPVxXI+dckM/8oNN6vR6CyY0ChYuIrjcUNx32poJu2t0HvQR8e9EV/9y WyYobTO9SPBc52KTg3ZM+Pj5xR2CFXwiCgMcmbB61eAowbq3HXlPnZmw/eCW GGI866QdQV3nUf4XhPyJ6/s95YzIuDNBVszuKZGfkyonD8ElXM/RlBXE/F82 N5Y5ejGhoqemh/Cn7t6M5fevMmEsubnvN7LIlF94rR8TvtgXqRP5RnHh8cnJ QCYwNxvxBcT1GWstlIKZsPzW/ltEPWC9Uvr1/htMuBfnlT5DXH9zn5p/OBNo d4/NF0L9JBuVRz25w4TaXudUYSK/mN8T+naXCRecuKFEffHD+byt9D0mGO/k fJiDLOq75+3mOCYcWu5W9n/531m6ziGRCTL/Snu/IOsl/4u/l8QE79KPe98Q +eJZy/yaFJTHCR9hPlFvtAQ1L81mwkDxuSPxRPzqs9pi9pgJPuPTUkS8/jG1 McU3jwmfAu8vuYq8jPnL9WshE9IO9kVYI+urVndIlTCBYwozRL8G2y2JepvK mDBjK/ZlJxGPLfaRY6qYUOJ4UEMdudpFxau6Bte7uj17CXKv77wfgnq077eV fBqRTyI69ix5h/o42XyG6D+i9F/+031NTJhQzH0qSlwvP4zp08yEIf0vyX9x P2tbfdo/p5UJ3L+vYQz52iedwY7PTCjdzg8eRE7rp5tJduL62weCfxDno6ZH izd0M6FH1FzvK3K/RIPimR4mvLcWKW1FFmelhET1M8Ew/8HfD0T/m1Xeo5WD TEiP/yJM9B/ZBYeOjg0z4fN+7eYGon/IXo2XCqNMcDm60JPojxFkuVDFZJwJ v5i+ghrk9HPdt72nmPAsInUXwTV+L6az/zIhq/OAJ8H9EZFWn4VYYPsObtYS 1085W7tQhAVU++8B9cgrCvRXa89nwV2HKJu3yAavufdsxVnwqvCSehOyfevU 3LuSLJCq9+on+nGE/Hx/5pU0C1bIHbvTQfR7mcls/CPLglumsepEf446yQBt HoUFWYNBLweQB1gnHhjTWEBZsdmIkJ+E2jrxK0wWLLwc9n4WWWWrjEsWhwXu Wex9xPvjDEz6P7UpsMBJfPcbErK9VcVW8WUsuBegvpOLnOV/QebUShZoHz2+ ftNl4nnpYz7+aixYoO1lbvD/fKz75+FqFmxO2HL5KBFvLEkfvq5ngccV18gr yP3Ume3/NrJg3tnEcCL/Ln/X9YwJLPjV1XTlP8KetjyJOqzHAp0hv1XvCPsR xCy4uJMFe+tMBnsI+8z28bhrwIIPV6si/xH2zTA52mTCAiHjnER1wn/er68f MWNBYnD9zG7kJcHczTKHWHDZ5IsWkd+SJofZhidYYJW0di1xP6Q7pyXM3pIF oXO1Rl8gK9iWzgk+yYITqbcvtyNbslNd0mxZoJFxJbUZ+cHHm11VdigflYz9 r5A7Q91MfziyIOdQ4sonyJztJ16JuOD3K3+uS0SOf6KastWdBfGPPtO8kDvO kOXNL7Hg2fJaMaI/CYs3e83LiwXFgtuHjhL7i7D6M0V+LFgp42hC1JftO562 fQpkwZ2tzTIrken/Yg0mglgwtLHSkkX0O3GwV10TzoKX92J7iPjfqmgav+8O C750RGkQ8YnavkHa5S4Luoc3byLi48HbClfDYlhwPX5wMRE/onYtHMm+zwK1 /oESov9b85w/lvUJLFAaOWNA1CPk563vfz5kwfc298py5P1O5briKSyISZy/ rgg5Yln6U6V0Fuz52J2RR9Q7HeFLd2SxIPJQvgpR/5AiL949mcOC4enpl+nI +/ZYiPk9YYGo7NwrRD+xWyI7Lz54xgLabI91MnJjkVp/6XMWKMbc9Sb6wcic kz/ypRj9J7m8jWBjZaG6v3wWpC/+8n97Cevs2cioQP/YreBK1F9vo95kaVei fZ7wqSL+P1lknM869JoFs0tTPYn9jeH8+JtudSywMRq7T+ynbpQECEW+wc/3 X1pN1GMNFxyd8xpZsMp9QrceWXLl/m+NH3A+V99/Iupvg+5N+363sOBsNGWS qMdC7i15uaidBUmjZ9OI/FBnIrlG9QsLTFwUfhP12ELxsWSDbyxwU5b+SEbe VdZOtvuO8vnx3zFlL6Jf7cvA670sYAX+CNmC/HpV5kTKTxZ0mh6w3Y8s1nP7 dOUQC8ibRUeJeiXQzGq38BgLsrXqlicT9mjUfvTkBAs+z3NwJuyxeKeZY9U0 Cw75PCvv8SLe57wjPHguGxqyhgM1cD8tsa70weA8NjySiZ4h3ke6TGN9ntEC Nigb7vT0Rz66dEWzrDQblERX3PmK7MZJ6r0gywaFjfFLZHC/f4vGnGoms+Gj 6c28bchVUouYsUw2qHX2PM4m+qeJXVOd5bBhp+l8GeJ+1szcOWCuyAbPObOG XOJ+1/iIpeIKNnzRrt5wD3nPb7vzAapsIHnFvmtFtv3Z7d+rzobD59eQGES/ xO/H7u5awwYf34tVxP2M+18+pmauY8MxTQP3V8T7kT8ZFUptZMOwyKfuK8iN 76trnbawwfCks6Y20a+kunBIU48NJdy1dKJfikL5aqG7O9mwNJA8l+gPsrk4 U2bSgA26gXvtlhD3m3LiNF/sY8ONdreTcbj+jigfj+0WbEg/NXP0Pspz8tZ0 cIo1G9YGbisk6kVS6Pn7C2zZ8LWn59MSYn941aa03pENBru5f4n9l/WlL+9W ubCB4mBkSORXrwsHu8IvsGGe9uiMIXLe6V2i+z3ZIFehsIDoj/XGqoJScIUN 90Xu51QR+ePYxuU0XzZEnDXaSfS3Ejn4VNszgA1vnj0UXEJmm6gadFxng4zr rrbDRD84g5RjEMqGz4qq1E3Ipnqcsw/C2HDyjfU74v+LsxDtLXKHDa13uIoS RD7TXnzL5i4bWvqT1SYvYX2iGfywOoYNjGQNuX7kUlWRp8pxbOCUTQx1EP0c lS5XhiSygTW2oLUZeYwnaB5KQnnO3fmb6G8mzTzbZ5zKBqnqQ4YfkZUpvVO5 GSg/eviCduTtMhYSco/YcOVY9/ofyOYLW5luuWwwbmwZHUX2mLdv1aenbNAv dDEUw/lF/KuFDc/ZwF2ueIiDnDOpa3K/mA0WsUVLiPXV/Hlh9Y/PhlXGJhXH kb8Pal2wqGDDeRPtLf7IQr2PAioq2ZBnMpCUg0z7phS1pIYN7FVjf4n6YE17 YlpgPRvUN3XtJaM+pFVtJx69ZcN/5JMxRD4buKK6o+U9G0TcZyGQqG/ejUYI NaP8/Kr1iPs1SQpF3UqtbDi9ipNB1OfeF66u3vsZ5yseZbcX+WjVDp+LX9mw pK/Pl7Afkl0Tu+YHG241nE0k/q8dLo5xHOljg1nHgTv3kOukLF7QBtlwc9Kq cILoB5U7eNjuDxsuPV5jzSf6n4jkpd0WoH1L336phPa9cb/HRNEkjndKUSYS WT4VdnTPsOH55hMa89FfpjyFd4sKceDnkfrHbsi9yTYuMXM4sOitlxHRP+Rj w+toVWEOCD1XWr2G6F/CCevdL8qBqCue3aNE/9+XjIAUCQ6I/3fili+RPwav ZG2Q4sBIbsBcor7QI3c1vVnEAcnBiO79yDzbNIWJxRxY+l5Pag3q89NCrTJ9 KgdenYvSo13E+lMzuredhuPtPHj3vjva/7GZRc4MDjxSeGW7BDnsUfnxaDYH wnca+29zQ39pWRKwkovXk4re2eqK9cic61llPA6QVpZ6uyLr7zOa6VvCgXx3 vkrpBdyPeeYqeC3jAE+8QtqROK+VLLd78XIOFAV+3E68j3Vxg7vLf8oc+DLe 9q/9PNrHeFu0tgoHHivKO8chD7G3lDWsxPFM2TU2yO36D3otV3Eg923Zei3k Gud50uNqHHBcPzEggVwQY7s2WIMDWplvpH6eI94fWHucrckBr2dm1W+R7wyo BjxZwwEbqh+UIPvI3crasZYDlUdVYp8gO20ea2pbxwGORtffHOL5h1MHZ85q o/xTfvo/QzYIK1IQ2ciBOyt4Ji+RtZ+zdkdtwvHNey63Iit9u+qisoUDA2Xi vElk8sLv0aXAgW/Up6YcnJ+Ipn6ZqQ4HTKtNlhsjjxzN6O3dxgGxtss514j3 qfpLSV/ezgGpiZ7x18gN2c5rZXZwwJWqK04i3k/b3HQ8WZ8DMXS1XzbI6ULr AtbvwvGYrIxy5Kjl97Lqd3Pg8JNNW5ahPkb/6CX77uHAxDedtXHIRiUjseuN OGAyuv0aG/WZfi3uzi9jDnzNk11K/D8pum9XSLIJB+Y6nP9H/J9pyRT4HjHl wKyT2OxX5JKexEsy+zngaacoSvSPvuA5eebyIQ4MO4ymznhgvtdLtlx9hANH N90aJvpbq8jsPdx3lANKG3Xu3UF77E5O3WlmzgHd8AgNwh/ByXTrQksO6N2Q it2I9n1PW2h9mRUHUm9OWqj9v79WpprbSQ48OHlDQwX9weTNAaWVpzigY9bo uYX4/ydamNNli/atWNRA9EtaYP2IEn2GA4vVXycq4XilE6Lz5zmiPETbHsqh v6ziPfvefp4DQZY/Pi3A+QcNWHy+5coB/RXbpqRwfT+eSX7Qd+dArGimljzx vNLuky/zLnEgQFaseB3KV+IC6WGIDwdu/BZ99MKZ2H+Vxuj44XyWWjj+chLw KxbY35rw58BHll6YEtE/Oq7iqvV1DmhKf/fIdUT/tj17kRaMXHn7rzCyxmq6 89sQDuxvvrr/uIOA31flYr4xDK+nMNylao/72VusgyPhHNjlp1ySbEfcj60x Sr3NgZnYb8+XIs8sdd1xPALteUEdL/cMxoPf3C2ku/j5/JCt+sh5RfVaNVEc UCXFHek7jfVXwEVV7xgOFJ5Y9yQC+YzxkqVasRywX6kWuAe5kvaOOXCfAwKJ jsUyyLzvnnIP4tG+x+fc+Gor4F9+pCR5MJEDPntSVIqRWy42iUg95EB7nhg7 CVlT13umIokDSS3nwqOQw6RURi/+h+tdsDIzGvlnS/PPVakckCg2uU30n9d7 6Nv1PQ2/P1hqU478wGFV270MDtSYj27tR55d29a4N4sDz/iDG4h++YfmBtbM f4QcQzplgZxXp1H+IocDm/Vo73KQpe92PD+Xi/qJbPeRxPXbWwQ9Xp6H9nFR 39vtDHGeXSvty1OMD3Ybq4eQFQWdCRH5HHhbe8b0HMrzSmlo1O7nuH6xjdR5 KP/+z6V3Jgs58CNm5dxE5P3Tf8JSijmQOf+rL/E8Spn8slCzErRP10bfWeL9 A1qHrwuXor1NKX/jE+fB94X6Py7jQF1GzMXQs8T9k9KrJypwvXFb2afQPloy lnoUVXIgZOXa+k0uAv6214dcT1ejvxmOWGpj/Mj+EeJCqcF4EuLH1cF44M/9 c+ZcPQecwrf5XEV/Ht689BT3DQeqB1t+vUZ7PXr0kNWbtxxo+mBUIoP2rXGX f2RFE/p/ru2W++iP9/NGDnz6gPaZZtnyBf1RrHGJaWAzjtenGU/cj/8iEWLQ 1coB0ZX34+4Q///5HNx0rxP9ITPvuJ6/gD8eH7x+ZxcHrrm4GVkHYHx4UbJm vJsD3b1rQi8FCvjrJxRV9/VyIMc8Zcud6+hPDr9ZC39xYLR6fahVqIC/N1iR /nwYx++s/gQ3MJ6lHqCcGuFAw/mUy6SbGD8rg2TlRnE+hwdWdiDf7nqxqGIM 40HwxaT7YWgPQr8XOo+jvA/IJ5iEo/2yFMXYk3j9vDvdM8hwKEjo0gwHGDFC zmq3BfwM1xczSrMcCGu6fPj5baK/0vDEx38cgIcKb7XuYPx/rDDmN4cLJZd1 clKRBxv2/9YQ5oLQj6IOqQj0p4Hrg19FuPBSmLz9dATxvvEXfTdEuZDbH9qY j7xq2fD3jWJcqLmo5DmFHKOr8K1/AReWVpVtVI8U8OdZ7u+IWsiFG6J0uaPE ec4r11v1JLkQ0/5j4SXk9tjij6NSXOgQb1p5A3lH4a/GB9Jc0LCLDI1Azm3m vTFezIUzvKFt4cisMbPaWVkuRAplnb2KfH3x9apMOS7MTj1fY4M8uqq44jCF C+5Zi8u2IJ/Y84svRuVC06caHSnkmjO84mc0XN/rBSPvcL5rrpkVWDO48PH6 PIlg5ITka3mLWVwg/55+vx55YUVRTimbC6R9y293oHxcvw5lOnJRXu3FUReR v/3lpjEUuKDkX7N+IfIeullyjSIX2j20391GeUd1q5YeWcoF8xdq9xnI3Vli bQPLuDD6vV0j7paA7wnF0otW4O+nFzJCUX/VCyJXJKhwITtojfI06pv0/qye uioXQmK03KyQzWN3WpSv4oL3H/0zlWgfmScVPPepc6FugaOjIvKE6t/Ibg0u HN9oMnIZ7Ut34uPjC5pcaDW2FevD64WV5dSJanGhutNLzzNKwG8LCuq5u5YL 0n0a/oL7Av5SU+u5y9dzobTHJMfsoYDvwtzMLNTmQv/QyZd3UwV88ZzfJu2b uLDfcN6v4lyMBxdrHRy24HwMF5nF5mP80km+NgtcKLget+1AMfrDh4MlHF0u GOc8ZR96hfVjnManx9vRPvbbDcW+xnx5SmJUZwcXfEauij2rx3wyxV9+chcX wkaHcy0/YHyriNYV7Eb9NSqV/GnB+ij03InAPVzIWdQrbtaO9cj+PR7yRlwo 99p7zf8Lypu9LCLNGO3nReF6v2/E/VOhHG0TtK/VTVrGxHmm3Naa2n1cUIuo z+jtQflfyvt+1IwLu964fjLox/2j7g2hof1cALNjcp4DWJ9J2dKvHOTCweLv ry8MYT3UvFVL+jAXGm5ZuK4fxvohgb438QjK/yT3UeVvzNenx+w0jnGhu8uH yfwj4OusfhNQcRztU2r6ysZR3N/PpCaamnNB0Z6RrjiG+5dXPsXfLbigz4v2 +4C89ObRZlcrtK8pkDQSoPwPao3MP8kFsdXT+8ORS7jSktE2XFCVKb4eiyz+ s2+Zsi0XUle6fnNCNsur0Ck6zQVlm/lPpJATLt8/ZmCH9mTDtXTF8Qf03Nw/ 23PBsWylXSrOZ5303tuOjlz46rvyeDLO1++Tcva/s2gPcOeLwwjq54HI6zBn Lsh7sFLn4voY9h1d3HNceOD40M/6F+prTcFs7nkuiCt/M7szKOA/mQ2n6rqi PXTslL79E+NVlZ3mBzf0p/Mviiz6BPxd4duNbC5yQbDN5NwclP83hUm/a55c cHIOfFfQKeCrDjbGU70wvgyWLHzfgfXDs8zC9CvoH4MJ7hVtqI+d5sN1PlwY WvPngwrax1bHqiMy17nwn/BfvmEl7i9a+vReBnHh05OivqEytJ9tEhpuIVzY Eyjzz+EFype6V+zzTYxXq54JyeZhvel77s/NcC68Sm9X3PxIwI8eiujQuc2F L9yIBybpWG8dKng9docLtuuStuxLxvrnZWteaiQXXtd3v9VJwHpB9W/8kSjk B0brifPyV6LZwVIxXEie1gi1i0b5iui4lt3jwjwH7stf+P0RR2uL8/e5cP6t +QY99KfMTwEGy+K5kL4po8cOr39SN21tawIX0ipvdx97hvmROiQJSej/WRvm xFYI+Lf8pCdHkrngYjRM60L/2f1Lozs5hQv2F9UuDrxB+3jpVrgwgwtjyzsf bkJ5ua+KSS7J5AK3Li/x6lcBXz2mOMw5mwu+2xP1vL8T5xPmnGp+zAXXdfTw FMK+WxVMgp5g/NwzeK8e9U/Zrrdp01MuXHMdoqShPb19ZKs0/IwLCpt2k9dP Yf1IC5Z9WIDra/Su9/yL8cY/a9askAs/BeLR54TG+X9/vekTK0b/WbBwkiE8 zn92eKSp6AUXKrb0hrvPG+c7vSKVOvJxfmp9KwLmj/OV1dZmcMu44JxTmbt9 wTi/K+ZQZFM56ltx3Zp88XF+7DzPq4EvufDb7GJ368Jx/n6nOHvtSi5c7Xgt +1hinC/dVnpgsArj3a4fa7Ulx/mvt3fpJLzmQuM/jx+uyD4581T31WI8Fwr/ cAp5I12JKlrPheG00VZJZIH/LpHnDVzI8438eRrHezRs/8vuLcZDtR+0y3g9 2yM3W1mNXPDMXBajj/PhVT5+9e492tPX8vx6sXF+u1pTjt8HLjzLC+2QxPVE 3BPcW9vMhR+PpSPEcb2GotTA/hb050OVnq/mjvPFnDe43G9F/9Qz2wsor/K2 Y8eM29F+4VUPIc9Let76wh1c0DR6tPIyynuI/op1upMLOzqVR9+iv6YG9Cxg dOF8bmpUKGE8svi9YKyhG6+36Gu7AcavpkrDWs1eLrRc++ks3I3xR935WU8f FwqVfD/HYLzcEXs7MeYnF/qy97qIob0UOre4Cf3igu7yz0+c3gn48QxLxbox LviJyopVYDzXXr1C1XIc9RWsbP0U433TztG1ExMozynK60jMB47mL7bemOKC g5FR2uksrK/cAnYrznBhQKXNUw3t/UGokVnhXy6ceBdVOvhAwN+YJH/C+B8X vBJdxh5i/vlY2Gn7Q4gHVrJR663jsF54l+7iOZcH28K3zj7BfCTee85zsQgP pN5qHh0mzsvObgxInceDTOZtRUo2+suKN9FNYjy4Fki5QC/AeijgT6nKIh40 WaYdrKzBeBtbXFMuzQPFhp5pBvrL+Sf+TQcX84BXEnPY8D3K8yul10+OB31v xty0UR46419/0yg8sNtlO/Ib41G7ZPp0jjwPLs24JlzG/CKzYeOiz3QeHGMM 5i/E+Ja5dx71HJMH9Y9sDi0k+hXYNvAWsHkQ/31F/Cf0r69ed1XiOTxIldlj eAHjqUeEudYaHq5X58XGz6hPUuZyqFXgweLh23ul0d+yy0d2WizhgUHAHn/J CQFf/1PRvvGlPKh+LP7t/STxfgi/Y6FKPGg+1+BrOY35TNTwlIIyD2R/FUYV zGC9x6Q4P1/BA+EuA4sPaE85q796GK3kwdOmCLWCWYzHu9L8vqvieG/P25v/ w3xp7nLjkhoP7F/Xh9Yje7ltiJLR4MERHz7nH7L8DZEHKat5sPlv88tR5Nyk +oxNa3iwx3bHymxkg6LIp++1ePDlkgx3BfKPdyf4p9fxYPX2TZfs8HrevUqv /63nQZKh8IqzOB/av9+NERt4kKA4tVoL55snV9S+YhPOd8nW7FK0d0MVvx9l m3G+EWmVUrjeXp09wweAB6smPpdwxgV830PkqcGtPDgcGjgowHzGcvoi7LeN B1kiLiXhGL8KAlIladt58MEgK/c35iuT+86UHD0ebHHNMqdgvhp4os3V0+fB /v9szwtj/g+oEV7RvpMHPyXOPXr2Q8DndNZpuuzmwekm+T71LgHfVOqEfpwh D95phPD80D6GFJVMNI15oGW6f/OxZgH/2obfR2r28iBapDVsLtpTsa3vWYEp D8guT0TyMV4rVqREGh7hwc6ptyrDmH8aVCaS2o/y4ILy4AInjP/ukfpPzhzn waMaIY2aNNx/CkWXTZzgwW7x/V5CSQJ+7em+NwEWPGAcKWknoX+cf7++g2TF g7izQUYLsJ5jbQoaeGDNg8b2K4NfiHryv9YpNRseZFvUdcYEYz0hvWIB/xQP /h5UcbuG9SLD4xJlz2kefDdQviaO9e6rrtolbWd4YPP4l0VgDOo7315n3IEH EoVbXtlg/uMfy7606jzK41LugnOFmP+rZq+/uMCDr6YLRHz4mJ/VjaJ2u/FA vHarhttLAd9GZDjvlAcPznZ6RIg34P7UESrGLvFgtquKldQo4D9vDnvne5kH E15CATSUn0SG+lC8Nw/EXGxWRmB8ekbymVnpg/5v1akRgfI392oUL/blQXGC +oPTPUQ84FF3+fNA+uy9AGmsN57sPbesJYAHcm78mUD0t6NFFWtsrvGgd4fG 6gb0N9ElJN3R6zxI3LbIrhPt5fBEnrl0KA/Uwm232aK9iVjOOxt3gwd121Kq WtAes2vNLquE8eCfQqucNNrzwTX/BReG8yDyZ/57iTnj/Dnxgmj92zz4/Dy0 uB7jebrYjtSPd3jQRvtfRWceT3UWBXCZFomGwlB59LsiGi0zJFk6tjK2oSSZ kq2QZYxkyxYiU6Q0ZEkbErK8ZOdhhCl71kGJKRHJ9uzPnN+f38/7fX733HPP cu+7v3tP3iOTtXMsU/e4ArtYCgI1xy/GYfzn9A7XTMWh/ny+iCSvn2Ol6xx6 GxRPwaXC2FI7zBfHc65/2JyI8ei8bxh9H8OSaM9EUhIF4ro7yvdifkkJluXI JWM8uWVSvh/ZaMyHr/gBBXPrbq1M4PPzJ19vO/aIAi9rBX5n5MesbbIdj/F9 L9vupmB7BrJOSrYp6K9rXM3iUZ7ZO6U6k6kUMD8Uy+uhvMnLm0wDn6J/nDER KKTriV84Y8P/jILqxhH+AcxPU81ZbokZFCzOBxm/Qn9OUl4JkM3C55XCdtgv 0/9nGEYWPqdgspHT8gr9dYIvOVEnhwKFi6nDHzCeaQ6oF1kzKbD0iUw3xXw1 9sut2okXFNhw0hqyMF7Gvnjf7v+SAs/B0qOvPrNZI2FBk/FFFOgeKT6tgvOX O99aVmVKKPhmnKediP6narFzc0EpBbVbSmUrO3F9I18t11aBz38vkmPZgPH8 0G8bgyspYICGlDXOD1laM8MHqrE/gV2sXZXov6elU2+/ouC/GquNq5i/1p1n hWjUUXDRQXtQNAv9w83cZrKeAlXzmYOr6H8KVybh0WsKJMcZc/R5RP2wPyVM GiiQc1lSVMP1pc1twuFqosDPsamAgeybVNaX24z+2mJ/ehL98/bTk6VWrRj/ uJKtXuB8MZ35NV7gLQVRhxLlbNGfK8vDvSvbKZBedadWcb7YVS95yq0T9U3i K69h/lv//rhQSw8FHlXiPxhi/hMf/TIV2Iv9KxTbcAPnqwqzoa37+imIVrfi z0b5DbgYue/fYXzttfySj/nRdlNh1K0BCpLyZNyTc1E+EWOXI4MUBLPKgh2x /3d2juhPDKH+FE9uFsb49OzHYLkHHymYmU0SefgS5VPavvHXYfRvm6/PN2L+ 79bMH+Z8xvwbGDZnjPl2wtCwNnuUgoCEFzKXi1He059SLMfwd1dOyGWMFwy7 wJDNXymw4jKyNSnF9ffvojYVExgP9q7fy4PzCwPfPHCdpMBOaqdlPLLdNT0J xjQFQgVagWtx/n4lemilcYYC0daGvb8g30n06/NnYzzgG9huj5yRJlwqP4/+ 6++0wRK5Ki87vn8B/XVgd408cnfZMe/IJQoSlBMOduL7v9UNmKmtYPxcw32S Xq9ueOujOM7B/LdkJpOH8jHebRG6z0VAteHnuiGU/+BI5pQBN4FvbtXnJrB/ hjParcvfEbDMfCLfjv23W+3PyVpHYG1IW8Ad1I8fr1fUmQ0EgiZDmHI4n48R FnDh20iA919u5fuo3wzJZ/plvASSz12PGUX9V+/RlHPmI3CvQsB0ax59H67H 8JvvCdiVNT9awPHkMeSvvSJIwLh5W2oRjreEeVrKnq0EKlykFk+iPRi5dlvf ECEw0PGTwj60l/M+f4CKKD5/hp/fBe3JL5RX4osYgW2pjYxItN/MBNU+PXEC U7k/e3vHYfupHSWLDAJZzvtlj96lv99zjc+QJJDQvfvjYjS2X/fQjFeKQOgf XsOMPzG+T69t/UeOQHtIQZ0PfR4kQ7vpzI8EUppXxke82Cwz69A3E/IEgj2a a408UD7RmvrgfQQWrQUL6PqBR5u/qxU+QCAsIlZm2ZnNUg/T+jv9JwIHXXuj jjmivtVCKlUUCDDrxk277Onzn9XlTYoEfuoo60tGls7kLrVWIsBX3B/jgsyw 0SyaOUTAauipsxayiFjwy/DDBFzT+09JIm9uqWJuU8Xx0Wdpr0VeH74m97ka 6ktXfOfEBVyvqmk8hyME2OOOPQPI7JmgjLdA4L+fX5v3IH/NrHx6QZMATO+K 6Eb+aMOVuqCF73dSOvEOuU8MHt/UIeAtnZA8itzeEvhA4hiBXPUekxXkhnBW ElOXwH4e/+Mi9H2/6qvxOnoERHeLXlNELptVj+vWJ6AuZtpogZyfFXDXyZBA uvQKfxh9X7BtxW2OEQHn9/yyhcgp2zhRt40JZPOUrI4jJ7Wq3ZQ6jvoT9HGX c2Cz7l73jyg8gePFL2DtjHzzSHmY3kkCsUcSM14gh7KXQ/rNCBjIx8lzob79 nqtedTNHezMcqTNB9rDzC/jOgoCb/mezdGS7tiVv2bMEpEOyXtnS9UwjVDzL LNGeFBLO1iObwpVLv1oREMqIsTjghOvB7EWXy7YEdogoTHyP4yv154JNlSOB h3/LnltywfiqoWxl6kTgU2IQJ4A+DznvfXbYGe2HNdWy7nfMxxfmT/G7oX+c TXTbgfYypDFncNqTQEYM85CjO9rn/EG9MS8C3EqXBbgvsVltOZ7HAn1QP8WD 3UnI1eJsjVQ/AhdmTsR1of09Xpg5OBlM4DD3dp2zaJ8JuQoKoaGo3/oG8TX0 +TV7jwM/hKH9SyUnpiIHd0zvUYsgYPHR/v2ED8b3vCnJiFsEdF9KTNP1mZyD Tyzr3SZQL8DnqerPZl0+kd/FF0OgyXCXxDS9vy4l/KLpLnKPXH46/b3o7OWo 6FgCJXdHFs/Q9V5qOx2P3yPAIwrFdL3ExDglHaEEAml7H5vQ9d9SHO5Jdiai vrVmBQXx+WzlhaW4+2g/XQ+D6O8bi3gtuk4/IHBnp5fIW5SnqreEuf0RgWWj Dq1qut6Xv5/jgxQc/27jFfr+7X6jfm3rNALzHHONRnq/R0JdkqSj/wtvifyE +lioWu1My8T2I1TNVDzZLO4YK6bDcwIX9b2MvOj9H7uqSLkcAn7qutos1Kew IuU4lov2y69tuxWZsT5EO5tJQE9MtuUSvR/YNSThlo/yKvM8G8DxOpCuvXSg AOOBgcs6C+TDPqmd04UEkjLC2e/p85h665kviwm02B8Pd0c22m4f6VWK9udW ViZI1zcdq3NQLsf46N3yF12f1Kp8t/ZSBcpT2bfJE/liVIREeSUB34yELSrI HudGFwOqCVDE7B4fsv9+/U6oIeDeIxQ2ivYVtiYrj7uWQJlOOasdObqNL7Km joBRoJrUm9/p78NdHML+Qf3250U2Ij/xaNLSfYN8/kZrL3KWzj4J3kbU15qC ylnkApHoxTdNBF5frZDZju1VDn/riGxBeW3nm/SR/ykyyfu1Dftj/cQ3HLkt gnlTsJ2Adq3AF/r+8z6LrQ5vO9A/rtX3MbC/n/Z4aP3VhfYrks3jizyx3M44 1UNgbPMuKVpf842Ki6K9GN+vKn4wpM/LP4jt+LcP9SeS+5U+v7rJbS436R3G x88m80dxPIQ0zG9aDqC+t3xOo/eDZYbEtAaHCObrX64v4/jtz/dlpHwk0Fmk snofx/vwtd6F88MEGOP5T46iPRjI3M8dGUV/DK8aovdL3Z0kGZOTBAb/Ip0l dD1K1asLzGn0lxPvztHnAa/xD7Z7zGL8/kOq5iza572cJzfm5wkIBKua0d8T Pw5aa1+yiP687rfkUeRMk/OafssYj3J6Z+vR3vOpWnF1Dr4/unaYPv9UMS29 sLqK7Qtf5URcZbP+B4rpkdE= "]]}, "Charting`Private`Tag#3"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>], ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, { 4.503599627370496*^15, -4.503599627370496*^15}}]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwUmXk41N8Xx5mxztgydoOJilBoV3KOkJSyhFSSZCehTaFEIdmSnUiI0EIh slPJEl87EWUJkX3ffvP7a5773O28z/3cc9+vZzZbXDWwIjAwMKwzMTD8//fZ XQsWJcvHqldC+x3ybA8ermqm6Zyh2cFY9cLv0wfnVTe+lPjQaLfBN2WJ8fYh AeAKy3tH6vAGCfm5a95M2+FZWZAEM+0RbN6bkminug/kJyyDN2xCgEX4E9/q JTXo4UpYX20Pg1GJ13bf2LVhy0v2fcsrEaBc7r//NlkfHA/fuLIgEQOmwlIf /mgYw/uWvpRZ9XhwvsOTcEHJFJYddLqnbBKhzPZCzwPbS/CcsfvRgmYSlPf+ 4eHitQKN+idb59tfQL5lpfhlfjsYjtYqn7VLgTj/61bPXK9AoOWa6cxKKpBS fW/+5XOB5hXb8EmJV3BkcjLq7OmbcPOruOJEdgasR8i/PLrvNog8bakdV8+C oXrVPPujHmAhi8S/Nm8hiCvNVfvWfSCs3GmY9XgHcun8b8+p+0BLn5HYrGY2 dLZYftm67SG4ZZELpttzQPimTS674iM4HjbEMv38PYyybXDvPvMYqG7lhlN2 H2CQZnxif0QQlKnfmpxYyQWlP+PPl2SfAOuP39LjEgXQai55Ou5GJHSUFd8Y Gy6A7Wj+SngwCjJeRlf+zS6EW9vve8qax8Ap11MXR9WLoHwkrkzwdjxEshdG /rEpBYOdwjvOxiXBh1vHXa8JlYFHMk9Hxv0XED+6X3jGowy+slWvdV1JBqdG XptpzXLgvxq77feZVOCNryZMtVdA1rdx3Z+ur2CFK++Vs0olCPeEDt3wz4CB +8l6k88r4QZb8wQxJRPybO4mTNhVgaTTc2me8ddwbveeg/9WPgP/w49xLy5n Q1JNostfiW8Q5ip26WlDHsxG58r2Bn6Do+Z6tpWx+XDUpra/aekbTM4fzouw +whjxAWjwuYaOBjjLSrHWwgHDp86+MivDnydb7mZhxRD49tVgvREA1zdF2C/ NaECeIHdjHNnI/SZkxSubK6EQ9vCD/pZNgLn/vi6uJeVEDz7aubOf43g8MM6 8H1eFex50mplkfkfXBTvaF4Y/wL3auSPK11shqWK82H7CmshPTt/W2ZEM/y2 kA5PM62DpugjxK11zSD7abuCMGM9bLExKRJSboGI6ldKzHrfoYb4YCcDpRX4 3HvkhX0aQeDwD96GL23wNhz0S+2bAbdYTxxba4MLQYJs9vR17MhTtRW722G9 jZ+4RaEFijpZHuY9bwd/74Dv3xZawOLmroVndzqAS+f99aWINnjz9tEPx51d wL/08YgCexeM8o4GHr/UBT/iz5ddv9EF0jePq8qEdwEzS1xR/u8ueK5CTupf 6oJX3RGxB8p+QNi3QOtzn3/Ay7KQ1H1+PXCzP2RKy7QHwuMNE5pf9EHO0ckX W0N6YFUQPjL/6oOJV3qGxIoeGJM7fOCTxC+wdd6UXyL9E5K2uvtmJ/yCc2th HntnfsLRgh/szS9+QyK51meTZh8sxzN921o1AKqH3U29zPog48y2j29Ig9Dt JLd34lYfbLjlnCrVHwShpsdDdRl98C+RfN3t1yA8idbR9uf5BRVRLpH6rH/A Z+t3ro0fv+CB3IHgVscRsIH/YsZc+2Fdd4X9RMo/YHgxX/jjcT9sCe0sGF35 B9FM1O6alH6YYI0Z4DecgOpv1uKv2vrhn3xkKgtxEmQMV19YHRyA0cI4pkMf J2HYVjrrJ+MgqAW1LNgqTIN9mGdJY+gQsPDzN3HqzoHT4Pb+D29GYLYnbqVK bRX6zDrZyr+NwO0cHTWDB6twusN/Z/3ACJBlJ2KEv67Cgdo/twdFRmFs5FzL qZNrQMxO5RHwG4XYOOk1UdN1iPbYrHrr4l/YVT3xJg8ZsJwiHKPMMw6T29fz HK4QcE9QdYmm3DhIjK0F7gol4EsWtwH9o+PwJiVoYDKHgIFLbQr2HuPgkZXy +NQiAY17w7/EDo/Dd1cdtPYm4mgGz+xK2T84/mjDvyKMCUmbH0j3HpgExgBW tYPxLFit8kThruYk1LUlJcQXsKCvScJ+MYNJ4F3e71vXxoKE0I9a5x0moapr d2IwDysur4/ZtD+bhPrtzRev3mfFv91G6Q2EKZC0vB5/8AwbZixavHPinoLf R9qP5TqzoS2f80dO6hQImOO7/kdsOHAioPrE3ilYuBYhZfSJDbsLS4a/2kzB eZb4AlMRdqyLlt5eVjcF/aP830K+smPAhz1KFzunoCasIfv+D3Y81qimvD44 BV5CnLs4J9ixitVUW2VjCkRONz0Y5SNh0c1Qu49K00A8H/DoyXkS3gl75nJG dRqivWcOSzmS8MCbjNvzx6ch0KW0Us2DhB8Gqx7tsZyG9NaQdfE4Er42XHr1 LnIaHosXl+xsJqGjM0uObvI0PHfh8lrpJaFsIKXw39tp4L4lXnZsjIQvK3fU yH+bhqCpkTIzIhktew821bZOw+nP7QFbuMgouaLVZf97Gu5lbB6yFCJjwi6L 0fSVafikfPyBrhwZTU9dndZim4Er1wgj87vJKGLvsTzENwPW15mkKCpk7Hj4 iOC7eQYOB3bVvlAnY2RSJGnrzhmoasvzSjlORsPiZN6qgzOwQviwsEefjLyd 70Qua80Am8eRjmNnyNg4WyxJMJyBxMkfiTWmZAzmqZVNMp8Bs4jQPx8vkbFg v1juKacZ6C8uyre1JuOA2VVYdZ8BPgXXfzb2ZOTxLf/26tEMxAwqtXy4QsZD rymGZ6Jm4E/x7/yTzmS0brH6yZQ6AzteMk0oupIxbCXfNidnBqKPDLSaXiNj sSRp5mLZDPwjNjQ00NvD2qaenN9n4MU7LS1/epvP5Q3rpx8zoGx+6M0D+nyI ZgizHZkBzpF9dyvp69uXGlAFFmbgbln8AXUnuv6hlJeVTLNw5+QPa4IDGcs5 FxRdeGfB6XVy7AY9/rE92p/EabMQ/JfmpGxBRiHTOM26HbPgn6Hw4A1dv7rP eMPtQ7MQjZH+F4zJ6JQB56S1Z2FU87Cipi4ZY/97MtBiPAsPI2yVLbXI+Hmx 38nbchZsyyYdClTJOCmxb0nBdRbkZjxi1PeSkarl79NzbxZmTxY/Y6Sfp5ZT F+fjoFn49ibVbFqCft5FdyWH0mdhMHj2tw0rGb/1N2Y9zZsFnp9ZaaNLJJwl Se1Xq5oFB//t8vF/SXji7NcT8b30fj7VGb86Et70Em7THp+F9mevw8o+kfBF moP5wvIsiFE5s7ZkkHBxjvuGgcAcmHkLBjk+IKGUmMXGhtQcXHYZ4NN1JuEp jQ+PXivR65aqVdQ5+n1IDTNJYDs5B8Z8PgmjO0nYWJAhk3eO3q8ccMpJkISr fas5l23nwK4/Xk94gx0NFJK+lvjMwfWgD6oDtex413hG3/HJHHC/fPGNmM2O rzw1u4UT50D25tyAdgQ7MtSNTF4vnIOZ2C3vtc+z42vbXSJyU3NwQKvGXaSH DTtCHqR0rM/B0mufcWf6/WfKb9vpyzEPpTMnrCai2fAcs7v6L+l5WLh3x9pa nw195evrg/fOw39b6qjm8myYfVrCREV9HrbSInY/YGFDtheVjlFm8zD85sqr Ux9Zcfc3/gUNx3k4PTRHWghiRbNJm/vTt+fhdYlqgJw5K+aqckSejJiHj93d P7QIrGjxw7CUWDcPfWXnxN8cZkFS3K8rLp3zEGMVzJFLZsGcc07U3qF5GBkm 3+bvZEZil9/tQsYF+GHaNDDpwowpHYW7XfYvwP2zv7huxTPhUCst/eeLBRg9 xXqX3EFA+8ax0ILbi2DXreNuT14H3tDbIO23CKLb74QzBq1BoS7Lv/DwRRA+ 8HP7aa41IDdInHB+uwgr0ku2J3hWIavegFl6cBGiQyiEON5l+Ffz8Xa43hKc +lRipCo8Dy6fH1hclV6GPcuYz2w2BuIDR1nmdy9DncVI2nOPv1BLYM/wwGXo X7/zM/TZKGzFoKlHZ5dhaF6gsGJoGDoLI7xSHi9Dy3gbREcPgm/nmS1y0csw fjrmCLluAHYvCldnpyzD7oKhsKuEAQjam8BdWrwMMX4PUgzdfoPau5cJnRPL oKp//MQ8Xy/8+257xHx1Gd5tTnWvedMDceOyQ0NsK8Ai3q75VLcb5mTf7pjd vAIRmRl37r3shFep+UVchiuwX8rkJcvrFjCuum0eYb4C4iNe16rvNwOx/xAT 9coKpHgqDFibNcEFWtmJ7b4rAJc7Hj5XaIRNcdVd6h9XYO4d14CpXTWUFATc ralaAeGLnV3EyC/g0KEjqf/fClTe3mjobK6Cz/z/2ZmN0tdzv/w026ccXPc8 5RycXwG+J6Ui639LQeK0UbYDcRXuc+7L2TpbBLdDOxfdqKugYrWTVcY5H7a9 jYvfkFkFM9TJvT/wAZrrL6Dv3lXwSdf4ZeWZA15jEgMcR1ZBzVhAi+PQO9hB /u339NQquOvyk04fyoKu7SlyIudXYUClSOnn8XTwO2bd8NxmFdj9pQsFUlNg j43MNenrq8A0NsRx+ngS/Ho4KvDGaxX8Lep8v9yIh+CUrMI9QasgXiGrKfkv Eg5VOpl9ilmFoaD6Hbj+BIZ/KRKOvFyFZobHFXtOPoYIhpnU6pxVqLLU9FZp 8IEjErnauqWrMP25Pi2bxR0mDt8ab62l71dXmG/R4gzxpspPTDtWQbIzZX/H +iXQdl/Z0z+wCrqiZp8Gy3VgPqa4w25qFbZVnYh6x7sFkj/e85hcWwXLawKF zFOLqnrtarRbpDXYwmz/5SEHwtocsWpNYA3C3aZ0Z+3OQgbfF5sHUmswdGKC haxlD2d2+5PJimvw3uKcA5reBCaD42+fqKzBQYpJJDPhPmQ7c5wW0l4DgdEe AWZOf6iLpdx+bbwGF6KKZ/38QmGoSiTxiOUaON86XJVfEgEME5s/t7usgVKb 98mnmXEgIrz9r+O9NRDLkN9atS0J9qgrbiLQ793kOTHXxf9SQPfK/v1RsWtw TTOwl709HR6Ua/qU565BvvLtC6Hz7yDhr84r48o1cN/nQE24+x4+8hs2/G1c A6NhVZ93u/Jg3M5CVGBsDVI9C4yrxIqALdxOLXNpDWp+dxrJGpaCZImzDbKu w6whv8Dbc+VgzHvvvb3kOphzCe60WKkCZxXfzg2FdTBg1SkS+fsFAqyDNsIP rwMq6m+4TVRDaWHciVKTdbi6eLHnxN56kLn8sZ8Ssg5Hdse225xphiNBpeyv 4unzBV1vpCa0gGn+FwXVjHV4cTsx7/BEKzwht7rbfl6HrKvOM2OZHbD8fopS vLIOKmLHqLwhP4Hv56KyAfsGiO3RlfHg6oOdbAzmfwQ24La6eIpnZx9cNuXK 2rRrg35/0h8YuP+GOiY5DWvbDbg8pdSf/3cQEowsr3O3boDc6k0df7txSHJ3 GFU8w4D9Yp/vc8fPg2IZ+6LfBQaMfVWqSOJfgDKmdObeywzol7bZTSN4AfqC BmhBzgwoUX5kyvD+Iog/v3Bm5BED3g5aZZyxXYbYKt2qpCIG1HM2fZm+bx1k 2f/9t1jBgD7Dm50j365DwcnAXt1vDGh5++CfQzIb0NFWvbzWyoCMbZLBRzkY UGBETencBAMyK35u2LXMgGGcexJ4JRnRyiY2da2agJIGTZl2MozYwOv3T5+R iNmRzgVlOxkx9/lPfnVlIjZKvG5xOsSIH7ykRMbTiMi1axu51pARI5bf7F26 x4QJN6uEJM8z4qTiFa/6D0y445PFttuXGPHunb8Rm0eYUEcjUU3aiRF/L+pI HdJjxgBjITcfP0YUyX4X1CzIgiJxeQ+7ghjRTJ25TPMYC77qNXyqFM6IxwLe hlLd6P7c9smb3ueM6MeuptvUyIIs7qTBQ4WM2LrzS2WyKytGlqZPh5Ux0n25 kppFDCtuZdJiGP3CiHMDNe5XS1lRI8hHNLqZEUV7Hcxd2dnQO3FVf3aMERX+ +joRIthQT/Gji9wMIz7JcV29ncuG4uXXnlgsMeJFQ1ZQa2XDwt+jjY3MBOzd UdlbxMuO01s7dV+LE7CgoXXd9CE7luWFXx3YQsDMin2njj5nx2AtvRBROQL6 mu539ShkR1m7r98f7SfgZs8Hkd/H2NEiK/ektR4BTSwZtrBpk1DxsMuVZ8YE PElVSTIyI+F6vXxQiykB/aR98iZcSRg7kVx3xI6A/Znh6qRYEtp6XRy7fZWA rOMJEo+zSLhvkyhH9g0Cbvo+fv5sCQmbdoWdkPAmYHfuWVov3a8/rzzpYOxP wGF8dTpqgoROhuyPg4IJ6Pn+wuGEdRKSbnrVrMQSUFxxfChGhO63WVRGdyUR UMshKTxEmowvoxbY7dMIGJO9vaWV7s/VCpy0O94TUGdq5yFjuv/mOi5rx11I wLu9C8FPDMnY3TXof7SMgPosf+skzMiY4ZCU7vmFgOdvZzxjtCGj26pp9Yc6 Apa9IGTvv0rGo0FCw3+bCKjAVVNccZPuh8VbWKU6Cbjdsvx+sicZf78JkT7X S0CfiGvlXT5kfAcntJ4MEvDsfoFjdo/IeLeRxab6LwG3ctv/0Q0mo86lCt+N KQIebYi7FRJG54lpz5f76Fz4gbi1XSaS7r+9lb9cWSfgFoXXo9QYMuZR5gZT mIioL/Q33jGOjA9S3jF3k4hYoOX7U+gZGQ32Om6lbCLio9zFVMkEMtK+SGse FyTinzTniQB6+59xv+V9MSJ6lecUGdDbRX8SHnyUIqIFrvK50+cHuJ1LmdhO RKUrg0zM8WQ0YReo2qZIxKiDGglT9P23xf7Xf2EfEf9NHS5qpMc3KxtEjFCh c+ujgzNp9PgrPh2TqjtCRObkbRWDQWQM1WFSJ2oT0WrwWMpjfzKa9ZRaHNQl okzMeeE4bzLKO7l7uxgRMZVmm8rvQabfi30v0s8T0aTqRePqdTJWh0yX914i YlrjUWkDOs9E0t78ErAlog7zNWVBKzq/ZdsxnnIiYrAxS9xJOi8wNPdh0R0i qo7Wv+bTpudnpCTpzn0i7j2W4FF6mIzsDM8Iyv5EZE+8vKlGic5fO85W5UYQ ccS1aoGFzntR6vu3Xo8noudIg/9hEp0XzvH77komomPpSbPuFRJu9ftP6+07 ur4qWc/zPSTMePY2/Uo+Ef9b6NmM9STc+SGIXb6EiE93nyyPKKLz6y/t2vRa Il4T9vsSH0PC44cqTr0YIuLj6asnTE6S8Lv+87fm4/S6NZbMS1Qm4WnbuzwS s0QsDewrUNxCQtOIg01xjEz4RJi9SGyJHZ0mcowiqEw45d9mcPcZOz5NTjb1 N2BCywDtvLNNbChUeL/46FkmpITd3qGRz4bxjRfFmc2ZULovi60tjg1fron2 3b/ChDmKswxLl9nw45nwy+7+TMgl2X3CfZIVu8kP7Z1KmPDz0XwP61UW3Hbd 2s1QlhnfqHAfNWdkxh0He08nKjLjsReh41W/mXAPg4nC6D5m5B1syeKqYsIj gdpD99SZ8T9RLpKxLxOapcgbZpoyY7PpAa4WdiaMbJlWIIQwY/LYvLUvJz2P e+/9eTvDjALvD5kqcDMix8pCxfISMx4670zRo78DvOXOCZoMLJipkXTgVgMD 0k5aGP3gYMGRZ4ZO3SEMqGKlWcmyjQWTTlteFd3EgNcjyIkXTFjwobVXorH8 OgzMRRmTi1mQosnSUuK2DC/Udl/rqWTBoVNMli4Hl+Fi0PeQtzUs2E/c8dJ0 dQm6tjB/O93Bgu58k1F9Xkvw32nXQ/EzLPjAKHbmQ+AilGTr0HbI0us4TV5L 5d08RF1hHD0VxYoD4udp4XIzYFgQz7I5gRUH53Yyf56bBl7mA1IzKax45Nli p3rZNATHO5lG5bDiWtbtAzuMp+FB7Y/vvfWsWJZpbPfp4RQ4b89778zEhpGa Y0YeIxNwfNDeM8yFDT9D89Dfg6Nw1FMqS8ONDcn5+QY/h0bgCH931/xdNtRo umps93QEDmqePHA+kA31PZ4YHPs3DLKpCjNSaWxYrDeitCXzD5CtZm1zu9kw bHi1Y7PaILCtZUXZ9LMhw8Pj4T7zA8AUYfVFeJQNbxpVat/JGoDVqjapuwts uHB3f/JWkQEY21Lw8yj9XfEfeTDiuEr3FwOehh1a7CjafEbXu7sPqj32+QSc YseByXo1vrg+qOKbyFYxYkdpR+nefef6oEjDnDvJgh1nBlR+nv3QC1kpR2rs PNmxlTdNPL28B4IsWXElhx2flzKceMnXBacGQuXExUmYk6bVGBLcDHVyAy2m 9Hvh8WtfkNXeZjhxbf/dOFkSerWSb4n1NMExws9Gof0kPHpImU9JoQmO0ORu UvRIKBDHFNDS0wh7TT+XsXmTcDvv1vKp6jr4kCxkr+VPQhqLppH6rjrY9deB 4htMwnRquI3Gs1rYeYfXmhhHQkHvyzQ9txqQib5IXn9P5/S/VvyOR6qB2rJk NDNIQq0SU/a3W6sgVvTkhtIYCW/uM1awf1UJwpefpztP0/f75gUVOytBYPro yjj9HVv7ff+rhmoF8PCEPx8WJCPLX7UnN5zLIPjMH21pcXpdKtTjW2YoA87E gzNWW8h4zqdDeNu2UiDt/KXZr0h/Zz7wxa/eKgaizs6/PfQ6V/JKftxIvRC8 n94Pp+qRsWclYXjeswAYfrQcPm9Mxv+MrPIzP32EVTv30A4LMsYqXnp+DPNh 3q96b7M7GR/O1i8IOn2A0UoLr+rXZDyx106u4cMbkHjSYR/8gf7u9IRw1Lu8 BkOzU0aGn8ioy0NeqdibBSWLyrJ91WRs5Hdv9m16BWE7NrUs9NPfycnEKMaL qfB12bekeJSMMtueeBicToHVr6vpPlNkHOIIEfU8lQzWFsOe3Bv0eGoY2vXP JsGhqFJpaREO3Ctdde/Q/ThwttzLO07jwLUbHvVlbTHwUilzNUeaAyX4ZOq/ KEcDT13kf6p7OXAHNc1BVSYCNGM4iphUOPBrzLRi6vuncMfa+2XNEQ5cfc0x d1MnDAYYnNyN9TgwqfrocLBOCAh/77einuFAe9ZQ0dvfA+FU3Fm93xc4cJB9 6guvQwB83Ku51cmBA7kELUyUZh/COOET9x5XDvzIVGeX2ucDko2Ky0tuHHjM q0877c99CLSnNjz05cD91qDuGOAB5fvDCk4EcWDsrMolu/23YZ6JLWVTOAcu Zr28fUz4Jsg1eQa3x3LgD9vLL1cVroF54ozbsyQOdPKojbvt7gwRjnaXL6dz oOWwhL7NggPUKPee3P6WAxXbNR3gkg1ssBgdmMjlQL1FtUDrPZdhT0uNZG4R B0oLTHQ/+WUGdknI6V7JgU0HIhnS5U0gwSlvAWs40Gdm4euYtgE0H5L/zfIf B4oWNOdaXT8ObOwv6uraOdDc2eiU0JIaHG4TzA/7yYFs5yhWlbgPXJODkkwG ObBRcH8RpktDujMxUHyMAz9xKnOWvOWFnsO3bw5Mc2C98o49vqvDqrzkCfOM JQ48CT8Mn/6sVD3WYXnCmYETU88qb0idYwHP1K69+1g5MfOx4fVEy82Q46pH W+XkxNb5Tdml3UrwB76QKvg40cPgRYLXcVWgcqrM+Yly4jDDHc7Pa0dBvyu7 96QkJ5ZTN74sHNID3zTpGsp2TvyRfd6z/5sRfLr+7EOnAidWX9whkCVjCpNq lMTEfZz4Lf65/Y6sS7CV+9Ejq8OcmP91ctQzywrOda9fk9PgRM/r15h1+e0h 5NV1s6njnBgQZZP4asgJqm6OHsvX58Tj5fNMOjyusHNTm5j6RU68peptovjn Fp3rh7wjrDgRzVyfeA/fgWekhT9/HDjRxSdP6o7gXeBgEsoJdKPrK61cO3jP G6q8ZAR773JiBevRBY3zD8B97YCH0kNOVDm8cFzplC+Mzp892vaEE5tFS9Mq 3QLgxTX7TJloTjw4dS372rtAODt5h8c9gd5vlCogshEM1SNxXRKZnHjTv+rW u8knkNrd42RXxYl9azZu6heiwPTsv+ZPNZx4+pgRUac1Gvja1g9w/ceJu06G wKhJLHg3SBDf93Bi46B08oL3MzCvuBS1Os+JoYavT1krvQAhcF09tcaJ0tLJ kquiydDwyftSEpEL2cRnHZ04UkA1N1nuKA8Xzs04eE2vpwI1fbA0ZDsXLiro qFbKZkDLlvktvxW4EF5MD/pqZMLjJJaAPfu4sIjfk/mwZRYsx0obdh7hwstu eauBuW+gI8huWNKUC/MU3k+SGrMhlHTn5A0LLjRIJbr0X88BLb+AnK+2XDjf 2FTRSH0PeV6ZHo43uDDuKf+LxRsf4Om1cZ68YC4klE3Yz+nkw/HJtRtsEVw4 NNXy9jLpIxCucP04F8eFfIKF74ZrPoKztULqRhoXdqq/mFc1KoRTZ12Utcu5 MHNVssY4pBhIMHepe4YLEza0WUNPVoCbmgxb3jIX7uwQJEY1VMCQ+vk3IYzc GNSv4uxzuhIqjpUvH+HmRie9BR7KpSq4YxD09JUsN54nvGo49PQL/LXa+vnm JW7ktb9srWxUC+dsTRz0bLmxv8elx3K+FqrtH2+SvcqNk2NWSmExdZBydepC jwc31kR8NFkerAfT28Xz6tHcmM1+NT3+RCPUBRrJbGrgRgrdt6bubIaDIf7f R1u58fXlTOavIc2Q/uTT9apu+viJE8nLU83wIHJz+a1RbvynkDcRX9AC4o3z 8hMEHvSmRkK6cRu0dVZ8NhLnQelBp7RPtZ2gNX5uQdKIBwWCzn5u+9YHCXw+ zfdMeHCXxiXsJ/+C2UOZb7vP86CK1JT2g1O/4HnAik2kBQ8+eaOR+bD1FyxL x3ewO/Ng3T7GTU9Gf0OWRU/BZAAPRoYaq21VGgRCAHPkyWAeVMp+bp3pMQgm 2TtcM57w4K0WpvC66kFgZrgraxnNg1/6NJ7/shgCs2fice2pPHiJjfbyUsIf 4Om46FFSxoOEG+oSvLtHwXrDz0S0igf7O+Ws3fxHoWjbuz1uX3lw6sETVq+f o2B3g2Fc6TsPWnWd5twX9BcqeJMupP7gwQvC+xQUF8fg+snfqoHzPGinJFyq PD4BHRWWjOfkN2HztP+/L9Iz9HrSJeKpsAnN4vRD6s/OAGu57p7nuzahgqir AH/gDOwrPWgzdGATJnBe0bKamoHwTzz1rpqbMMXzv6b1klnQ/VAU/dhsEz6v J258sJqHL6l8isWhm1A/NO9cQc8S5PpXmdHmNuGNPcw9pZ8YMP14rZDf4ib0 lf44+66HAWM5mprGVzah3Kk/PWkbDOgV2nv0E4EXf7X2yiarM6JO9PJOYx5e TK3df/Z9LSP+TlPceCzHi7HG7Kx6PwjI9TU+ceESL0p5KImVTDIh46Pks2ZW vPi7IPXv6U3MOHs8g/LZlhdH7Ca9mHYzY+f3fL+wq7x4/pG2OvUWM6a0NV3d 4cmLVK3nKW/XmPHgEBtejubFQdnor2EEVtyRzr38LY4XU5wbVUGSFWn2Ah8U E3kx2CV/21s1VmT+JyWznsqLmWkSbo33WLFxTpUn5j0vLjzI/de1yIrWzDf6 vn/nxSyag4Eg3beKSHxrX/mPF7cXyF3bPseG3w+INci08mKe9Y2bfzjZcZ/j 52LvH7y434M966IqO7I088ftG+ZFA04Fd444diwcswu7/JcXZWKbzmtn03mK peRR6D9e5LlgLSf1lR3blK3dRmd56TrlNr+cYsfU53lGCYwUTDNL0c1VI6FJ IelkLRMFH/RKBacakpCjxUxjkZWC5u8O9kvZkPA6K+tuAy4KWm0LvF0ZQEKZ zedl722i4Nft+by/6D6y++DbzVl8FNzaEu36MIuEGk5neFhEKVjMFqJ9vo6E i36ZrLvFKVhyUFb60Q8SZiVtrF/cTMHw3JrofaMk5GtNGy+QpqDw01ExdhY6 H/9bGRiSpWArOT5DlkJGDza9bspOCgYTV4qrJMg4cGix5soeCmYpP0jdu5+M 0UY6FbH7Kch/oX2+To2MOlefF3w9SEGGMFxrPUHn50ez72YPU1CEyVNR14iM H14cS9+sRkEWvgXyfjMy2hbFJ57SoOB3pj9cgdZ0Pm6bjHTXouDeiWtFOk50 HzihEZx+nII1yy1xt27Q+Zs95mHrSQr2drseINP5/oDUuAdBn4IWz9glWej8 P6aidl3BkIJ3k2rGrP3I+Nw4wsH0DAVJq3eV5APJaOg8YvHoHAWHiBlBhqFk ZAs4fC7vAgW3KGYl/3xKxqLkJ/r95hTcUB4S+RZJRufiwWM8lhSseNCdyBtD xi3tynjYhoJnas8NFMSSsWMyaL+9PQWnKNGJxXFkDCT93hl1hYLHRs4FU+PJ iFv2batypmBDp9i1Vnr/7OEAsalrFGxW2SPwhz4//cxPPvFbFDx0eEJTj76+ qcsujhN3KGggW9nGHUVGnse+RDdPCmpxXUneEk7GqpSu5RQvCiYFCAUF0eN3 K9k5/Z8PBS8vP3TXpuuT7/AeWfeloEKX4oUzdP19U219cgEUlL55UzrvPhnD yXIdJkEUfNFT1GZJ9+nHtt5reBhKwXZqrJPFdTKuqjZ/yXlKQcWilaXXjmS8 7OqeyxFLwbKQlypy58m4b9fP3O3PKKhGAPVgfTKSpjHv6HMK2l088e2IFhnf ubDke72k4AUBksEzOlf4KNnlP3tFwWhZmT9qdO4wnqrNL8yioHFrN20vnVNW nZ98nM2hoMf7vnWmFRI2KM5+3JRHQXXTCzf7/pLwxaRxwc4Cen5eCymzdZNQ 25laaFtKvw8UTD1YSMLIq2mfumspaCMHuyWcSGinQCpa+k7BhxZd/XpnSagy 4Vgk0ETBfzzWHbXqJOx32lWs10HPp6x8WbwACRWdikuqBih42u3FjrT37Ejc SSv99YeCT564mUrE0O/vuHfp+igFOxj+aPTRudLjyrGyA1MUrPviVaeiyY7f HJvLs9YoWL2zlNmmlg3j5fdVfGPgwwuNaxzHM9jQeSy6YojIh5XChq39D9lQ wNGskkbiw4wrKje4D7GhhcNIVbgAH+oyWkjcfcaKq3YbXz0U+PDqFd13oRos 2LDdojpmFx8yB1ikNwuw4IuRquq8vXyYQ+PUezTMjNp2Ad8mD/HhruPSQcYB zBhpy19reYwPGz+q1JR+ZUIFG7nvOpf40OLn+GtJeSL+tJO4+tqSD63MFNpg moCBjhQeLls+3Mb4Wno0n4AjLiv6DU58OK/O+X5OjYDJHrWt+h58uLcxcsVY nxEFwxx6jKPo+xvNfSwsX4eNoswx83o+jAqTPpNdMQ9vShODyhv58F6CUNhe 5XkwrXi6U7KFDz/P9IbvfTcHBV/dnfu7+PBAk7X0YOIsXGs6MWs1zEevG2+F k/ym4c+fvyv2RH7MVmivEyONQ+Rob3wtCz/mHXkKCnxjoDHefFiexI/fTOt+ L9H+QtL0p3vjPPz4VlqThaY+AufXHhOdxfnx8XC7vnnWIDTwypNvKPOj0wPC jt8nf4LqlSsjcSr8KLAiFJk03A1vvr75WgH8WLqzgT804AcEeyg94DnKjzXK 7ZQbAx2gM7RvLdOAH1uuyEQ+nWmGInT70WTEjxwZEpNMtU0gH1dQsGTCj9q9 +0v9M/4Dsp7KTa2L/GhS/rrmDFMD1BSoTfx2oK8/kP5oWP4rHOTzqWe/yo+/ Jy483mLxGTKcqjIVXfkxWvxx5ER6JTyS0rK968aPoLiuXOtQBoue/kdT3flR nHPD6lhjMdh2fNtSd5cf1w4IDCmPF8KxIJ1fwg/5MXXH9amu8Fz4+CeoFP35 8Q33lbME2nuQPtLwzOYxP240uRDONr6DyHgej+BgfrzC0DG1Vec1sCzon8t9 wo+H/P5TrjjyCm7qPz3QHc6P9/bMq/5+kApDmS0CxGh+NJd5yvCD9wUYswjM bY/jR8s8X5pA2zP4bH6mWS+BH4/dqMsMp0bDnk/R2beS+LHq2kkZjvUwSOHv CklI4UepGxKhw3OBwOcs6vQ5jR91PbOUrkg/hAc1pjpjGfzoeOjeYoGkJ8xu SZClvOFHjb//vU2xdYXL93rZDmbz48x5Mt8OdUto6qT9Mf9Aj694V/pxZX04 ssfis18+P7Kb7wG7sR2QE5yc/KaQH1MK+V3rrFtUJUcG7rcW8+PIobCI/sUD EKa+zXy1jH7+7T1DXgeNgTHBRlWqih/TPc8fGCPagvNiOvX4V35cv59isjZ8 HfoMRpeda/jRXSwWbmz2Ar3Xcp1R9fy45Pg9yZTVD8pYr+SXNPLjYNCKZuTW EFC0eBMx2MyPE8Npz98fDofnRRPXONr5kW+xTXbVJwZ4BJUMdnfxY7DCv3VZ q0S45+KqeK6HH70ut4ibTr6Af7Xvue738eNpTZslFveXYLZtbiytnx9tnX5w aRhkgOqPW6/mRvhx73X5mQeu2fBmb4EfdZwfp5K1uwYb3oNY6LKV+iQ/ftd9 P1ltkAerGp6ST+bpejNNI2WqP4FjYgnDxyV6vKZnGbcVlkD30sbPn6v8GErb 9fr0cBl8euMdJ08UQKpwNpF9bxWw6BiJRLEI4IutkSnJ1C+gPyIdw0gSQLG/ AaILQtXwR6o+so1HAO1NKZf/nqoDSoxgmJe4AHqXDYiVtjSB2b5Rnr+bBXCT ZPjpXUIt8Kq5KMRoqwDmNRNCWK1aAbgsgmTlBRBexi9oinSAg0+Wf4uyAPLo uh3u+NcDebR7rHBYAB1fpszL3O4FxhJ931cogCL1owLfH/ZB1OK8z10tAbwU In1HdMtvqLyidk/GSACdlxrbQoMGQdSk7YaHM33+SRV7xu4xsJ5Lnx26JoA9 kfd+PK8Zh+ww92v6twRQ7XHrVsdP/0Crnuay7a4AqhJ2f4rUn4RrRxwcGx8L 4Cvz/jM3NKahVp7h8pY0AVwIFQls05kHd0ZZvboeAbzJjPdkYtZhSIPcse2X ADJueXWbTXQD9PzHLt4fEMD7VQO/YuI3YAv326v7/gqg9IS492ldBqyj7gl5 viiAWxxNdyWfYkTxA6rfr1ME8VdDh1PNYSL6u0sYNwgIYvo1R/bO20ScLmH4 uV1EEBVs+W855RLxq2bl+E+aIL78vl9URI4JnU8f49TeKYhhvcMnx7iZscLJ QEdMWxA/HLoX+SmKBeVzdrfc0hHEP593l/pUsWDkHJ9pk64gcuV0twdPsqCD R7uDn7Egqsi+L7Y5yop8AaaPpy4LYq3Jx9trw6x4t/4wRcdGEPfY7SjL5WbD YR6JuJf2ghjOz/3w5V42LI76lXHeRRBH5iue7LjHhtap1jWf7wri2eGvjgVs 7Ng4rGVA8xbEtRCFYep2djwov73rzkNBzO83epxzjB253/8dUQgUxIvG/6m6 PmTHO/N1LgEhgvgz0M4p7gU7Dii/WRoIE8TrP38R50rY8WOZM3tsjCAWXLM+ eGCOHSWZDJ7MxguiKEeF/WZuEgZq7RbWfS6ID3OUJQ7KkPDS9zkZpjRBtLzG 8mXpDAlJ3XeOOX0QRL6cvNyc1yTcd+sVZ0i+ILITHn1uLKWP5+1oelsoiGVt T1kO/kfCj8f2XpgqE8To7ByhiSkSDvRfluStEkTuuFLPQ4xk5L4X9mfXV0Fs Ncs91MJNRuvcCZfr9YJo62qjNSZLxjA98f0RjYI4NbfD0ZHun4v/6qzmNgvS fXl21EF1Mg77upe3tQkirc1B+8wpMvJJZvgudApih0w0W6UJGaG444RQjyBW jfNZ3rUgo70J6yblPvr5/1WffuRAxsiZvW1n+wXR8NBfvaFrZCwPtoy7M0SP R19gazjd741tf2oeNyKIaXsXRMLpflnoc/nWojH6ej+/Dg75k1HdfHK0e0IQ Y8ozISiYjE4r4u/WpgVx9cGTET+6P46NPHlDfJ6en36+zHa6P/2s5HEQlgRx +IO5gSfd307WZWxcXBVE/+2bPtxOoPt5284qrw1BVJMWyKx/TvebRLaAJIIQ RmTMZtxLIuO1hH26FcxCODheyGlKbycoW/H1swmh/Djbw6f08TUtTzuJHEJo f2beTTqRjPNXKxK2cAthYpXsGeFnZNxMnrqsySuENVy5YfZ0P63zUmK7Nb8Q /iH0J1Pp8bmpnfrnKySEYC/MpkSPP6Xb432aqBAWOGSpvaLra7iV6VYtLoS3 ND+2+z4i4zJv1+GRzULoarZsVOtDxm1v2IikrUKo/y5Dx82TjPra+6tlZYTw ziMjvZCbdD4asAo6ISeE/Gm5S5uukrFZpFIwSEkIT7f4fTCn88167lT36z1C mK/JSlak84+sPu3F9/1CaGXK+cSFzkdefp7yPKpCGJTT2a2/j4xZkllTimpC +PSIOXGW/r20F3fl6WsIYcitNBFuOn/tnN2v9vS4EG62+LeWx0zGcyHWLB9O CqElLKhpLZLwoWxEbYseXZ9iiPUZOt91m08bCZyh5zM1wnSdzoMB9Vn2MZeF sKp0oyw6kIR5tj8UCq2F8IY9sfisOwl/EUlzXXZCaGZi0p9uR8IDB23uUZ2F 6DrEZxY1SDj4cnN4oocQFk4+Unk6z45jD34tEb2EkKzTG7Wvjx2nLZIu2voI oemb525W39iRQWKznFKAEIrkyyldjWVHkShaRUWUEJ542HLx+n521POTmBzM EcKyK8d2GV5kwyIbMR35ESEMWK9iE/RmwUrNnuzQMSGkckrSpi1YsEbqmeDc hBB2ODq+i1VnwfZean/xvBC+7zQMO8fEgtNnqHd0mYRRo2br5XIfZpQ5Jpru KiGMZ9fmah66M2G4jDBTgZEwltq+K9c/S0BTs21p/SbCeCEuSlRAmYBbwncf 5zIVxsNUl23tQgT8sHEy9LKFMNbwu/ud7mDEljZvKtdVYdyr8NfL4AwjUh6O 7bnsL4w5p7i+axszYNivUivOT/T+A0TJ+cZVOCdYz3agRBi7GxI/ckWsguTJ rkyLcmEMTlYfPXV2FXI+zk7lfxVGKe2laO3fK9AUsv2uRYswZp/TnIf5Zdik +jQyf1wYqzUcTv7ZtgShsdZfL9FEkJOZ+etpup++ddP7moeUCFapEd6Mu8+B mUGCRNQ2EfRtONBdqTUH8qS2W3XyIsiyNi8j3TcL325ryuxXFkHNqKWCdsos EM5uecRhIIK6G0UZx+n++4bg7+P5PiIoX/5kmNFwAkxn1ub/8xXBKcJv34S1 f6DRIJw89kgE0/PPJ5el/QNeP/2VzaEiuBi7yhexNg5v5ssyA+NF8JHY6x6P t2Mw3JrIYZFL7/8CmnvlR+Fc+IXvHH9E0JUpLNHXfxCo70miDqP0/ioXgzyV Qej9L9/m2zhdn1Rex92pAbDk5mX0nRXBb2bpXp2mA+AU8GX3BqMofpcq+fPm YD94eynETFFF8XDd/Idk3l+gkdg9qEsTxdgjxF0ajX3AWvJo1xspUbw9z+d7 O7gPAlf6a+1lRbFyz+egJI4+iLwZvd6/XxSP9cQ2XNv8E145Mlq2GYiifW5r loRTFzg+fvNuj7EodlUwXU9f7YSdGefXws6K4lDIf4ZagZ2Q8yc3UtdcFIW8 BtUq33RAkYX9t+orovR6+UMviqEdGk2ad37yF8UI+VPE5rZmCLvl5S4cKIqE osBnmjebwShyR/WtEFFs5azOKRFohq5mv0t7IunxXdDLLDvXBAOnVMJfJ4ti MF9G3ei/RljUSF1KLBHF01IGBXLBdeDxKdGnqlwUhW3Iht8WaoFhVyznSJUo dsjF7xa6XAusEiGbd9WK4j2hlGdVqjUgsOSmXdVO12tvUrGHVA27X+vEDE+K YpQJ7Z35ZCXkSWlJcc6KIsvjWrh7vRIOxqq9VloQReo2/1rl5Qo44rev/M6a KDqp6Fj7kipA7xJthINExfRfOdFKUAZO/LMHlKSomDkenMU2UgDTj/9VGG2j Yj5DDM+FLQVwgzCic2c7FZ/d22D7avERPCZ6zCsVqJhoXjzePJwHj7999TdS oWLES4XKeOEPwIUVvHeAiiwlj77bXnkPYXlF8QlHqMgj1PHqUFUOxCZnv/tz jIrarYvEiTvZkO4Z13HbiIqqm6bri4TegPxshEWCCRWTB3nyrSaz4J196FjF eSoe2N+aSvieCflnHjJwWFDRxO3VBEfcK/iidFUmwYmKcrfshfk9UuF4ul1O hQsVfe+FpXH7pEC9uKXKn+tUZHU+8HA4JBlayGf1FN2pGK2TclvuUxL0Dx5x q/CjoogUz0WHt/FwJPH7C9nHVDzoqCmqtRQLz03O1YcFU3E80Px6pV4MmNW6 SF6OoOJzvYhDATKRUPxgTac2moqi1+121aaHA1X10a3d8VT8e9i3PWbfU+h6 97yOmExFF+FOzoY7oaBsL7/g8JKKATkdU+csgiFa6uPmlldUdJoYfMw7+hiM Ixtupryjot/yCrfRcT/I1T2fxPGBij6MPKeaJB8CH/uf2uv59PNhY13cKeAD Te7rNM0SKtYl2af0xN4Fpb0BJ16XU3Hd/cRokKQ7hP7jv8n/mYrfurOaGntv wURa0nPPaiqecPgyHd90HU5d2lE7WEvFr1Q+v5FlF3gtUjB3soGKVKWIXN5s J+Bo0aDlNdHz3SkxLd1uBw5BjcfF26j0Oru8S9LWCmqOmt7w7aTiOVu9/XOX L8F2huHEf91UJEe5rcpFnAf/gms1xn10faWuQXP7jeCP68ZsST8VX4+oqDqa 68JR+ccS0n+oeEmC40LJiiakDgocDxml4kyVYV+YjwowJb64vjBORa09XD9n LRXhssnOxItT9PzPaHqIOIlDxabCb19n6d/LvP7Fd8qMsLlWc1ZhkYopZxWF pMcSVb0e/CcevULFIcLLl7d6ZlR7D1/QZtigIseOuUlTKUFQXRi+ZksQQ9nU ckOagRw8e3c9oZFZDFeZflFf/DwAq3YM3w6wi+EFizvXf3xQh/NSgTPPOcTw 44t0RbVUHSjsFhRn5xHDZO6UCL3np0E4MvmYC0UMX+0ZTQ2pPAtuugrXOgXE 0MZKV1zZzBza2T49UxMRw82dQS/9NC1hX8XR6ldiYnjExXJrWZQtRLg3TW/a LIaY9TJ80vAKzO4xE7uzRQwfyysJhqu6QE7aDdfjcmI4TnzF7MZ6CzZdYnyW s1MMrWIcvA1U7oCzSNBXkV1i+Iiz93jrS0/YGZRC/XtADKcTqrLuBXtD0FFF rdMqYngxRnXDLPwBjG18cvkEYmhiY9m2PdcXMlybvzw+Kob7O24Nxms9Bnb5 i1Mz2mJoJDmle7ogCGwHR0VNT4ph5O4tTWxSobDNhOAibyiGx77NT1t0hMGL w0qi9ZfE0N8nunB9MBoqTpF8VizFcNdnUrTo1Vj4fbF/dLutGAo9a75AY4oH Ke+IQl8nMVRM3PRqWj8RUr4snaXDOzLc8BSMV02Gqvamcqe7Ypj4XuQD2+4U GBjO3P7sPl3/VEKP+45U2EI2W1ryo+thPH3ca08apOpWRL8Pp5/H4B7BU48z 4Yt5HMPvKDF0XFY6dOhdFgy5XLfliRPDKUZRkvGP17AtfNuBK0lieJ1vezWH 5Dt42RHQvu2NGBZcSh2ufZsD6ZdOC8R+FcNecSnSe/OPUO0qf7e6Rgy36eU0 zdLr47AP89B8vRh+rysIvzRWADIv83NPt4ihSsv4QuWDT/BqVNSI85cYflE+ 5T34owQyrg089VoWw9MlN/VLeSuh5kHxyps1MXQv3MOaH1wJoxGRl3sYxJE4 oNRqxFEFch+P7T7IKo7HRna+DOL4DFmrWU0zFHHk8JG3Z9/8FV4/vLHJZoc4 /uPQTTOJq4UxlQveDxXFMeZT3c3LCnX0eqoxk7xbHHcZuz8S/lwHGRZ8rX3K 4thQcZY1aK4e0uF99Lmj4igsPBJkurcRUpYmJU5dFEdNj87K/Gb6e/auI9TR QhyfRazddpJrBinbMsbHVuKYen/iC8uDZnjRFtL/1UEcv59KzP59oAUS3+9M U3MTx60dzj5Fr1sh9orjzr1PxNHgbkejSmUHdG0xTDwdLo5VcwzMfLKdINx9 iMc1ShydAxf8Op90QvRx8vSbZ+IYbDMzoWTZBRHSGbkyGfT9Z9u9tvN1Q+iv PyrUSnFc+MXkWZzUC35Gl08Q58Tx+uZljYFP/fBCt9vUalEcBWYVD9xlGoAi bSOnryvi6HtBc+3tyQGYPqz15DFBAi+7yoR2/xoA021y7RQeCaT5yvZabhqC XQvTFlvkJNCAS/pcQNAw/Iz2vqN5SQI5P8a81uX+B0thK4/TLCXQmzPg0Lzj P+ALuv6M3VYCpzz6BFVq/4H2feuyeicJlFnhxpRHE/DB7jiLsQd9vzaHwHHf SQg4yBtmHSWBbo7hliXC07C3O+mVX70EprVbn6q9NQc8O20X3zZKIGHr7A29 rDkYu7dTq6NZAlMM7N/x/pqDFKlPAzJdEvj2TsKazol54HNokagZkkCzsVqm EMkFWPYgnmBhoGFET9rT5R+L0EneV35MmIZytVL7DUNXIXp73Ov6EzRsf1Yc 4r+TgLMzR1N9TtIwfkMtM1uPgLol0/HKujRM07m72OpKQJbTxwNTDWi4oLat hpxPwBseS/aeZ2nYd8BFgxOIaNBwRmaHDQ1PN6OV0EkmfBNDpPXb0vBbp83b qatMyG75VjDGnob3OHrNc8OYsGyRhZXZiUbnrqHLs+1MqCCZN9h9nYbvuUzX RC4xI8cNvuRAbxqyNwy56DqyoC2UxR55QMP8IHX5gUA6X7A7hi0+pOFrr/uX 1F+z4J2EyvuWj2i4XtXaZjLOgiNfXc1VQml4IfZVfIo9K34R+U9s7BkN6z+x 7/95hg0lBz34XyTSMDvm1R6R62zo+VaG0ySJhr0fyPLrIWy4R8NrtTKFhpEc 2/blfmHDF1cUfsRl0nD3WnFHkgI73isLij5RQMM5oYMND8fZcbSnLHypkIZW rp2iLQQSGq/MhKYV0fDIqHdIpiAJ5fede0Qso+v9LJY2DiSMOh30MLuchmFe RvKGp0lIcCm7f7GShl+8rsQdsiZhR+a2O5++0FA2cjvnwwASqn87e9OumoZK xNGN33EkfDMU6CpYQ0PSDp7igiw6P26esb9WT0N//e/DPXRe3BVVel6uhYaG HE8UN7OS8dmH6TOdrTTcIejWqMZHRramrYZ+7TTsCFUXraWRsZcjUKe/i4Y3 xq7lcB8g43HZ0mNPuml4iUhh/3qEjHla0xrwk/59zFpL9OqQMdDb5HDcLxrG 6t//vv0iGRcSHytr99NwwMQ/3MSGjBbFJXsXBmiYt2XrjT4nMn7vmlJKHaJh UY3109IbZFRe3LLz9DANnVVeC8660/me30SWcZSGb0u6FDzuk5Fn9+Ntb//S ENofchv7ktFdr0TywjgNi9/JTd4LIOPQlSlx8gQN38xabFoMovP94y2iBZM0 7BHlLigKJWNR+hlBm2ka/rcnfHddGBllvgRQ+GdpmE4jt/z//7in/cXclXM0 ZDp6c7aK3l5nmCK7LNBQq3B+LoPethffwva/is08HKvti+Pm3vc9KQ0UUs45 rkRUUgrZX1FJJZUkQyWZIlOTSiOJytBElAbzVCQNNzNRmRLCLUrhCqWMIZff +f25nmfvs/da67vX/qxnP2feiCKmfBE2eH+NwnvdHWKVo5yez0asWc19Dzsv Cp0YU0TmNp8Tv0IppB7JHVMZ5+I5YbP302UKMtd/DddPKOJMpPo5QRCFc4/Y QX9hGo8ur3Q96E/hR5VFr6YoDZ6o59NZpylYfg/60SJGIyHvpviQD4WX/NzO EAkaR12DRSW9KSya/6tdj0cj2/HgPuv9FKKM2K9dfBrBY4Ptn+0oiO+1+HST otEpf3ZzpCUFz9NBH9ZK0ig+4+sdYEqh6XZO/cAUGnbmF1QTDCnOz581MVI0 Jhll2f7WppDZwLw1m07jlmTpmI8ahbmD28vHZ9AoOecmqjqXwsCinGKrWTS0 nNa7ywhT2L3pZz5PlsaQe5qIWa8AZfuZnKdyNIRuHN/9pEWAe/GBWdPn0nAw DLUQyhWAKs7OKJhH42mq+rm2ZAGOtPSkudM07rc7RfbeEGCT/Pb4MiUaMXZr 9PxdBbjZplFgrUxDcdNjxasWArQ94H38Pp+GjPP0Oa0QwBc5UlPVaLjZdCtv miHAa3642r2FNPgr/f52+MPHzFqPtUs0aHw4muRS8JWPNAfWd9sSGjqJ1fG6 6XwMa/wX3qbJxeNbpZTNdT6MhusfHdaiMeO6uXv/YT4+XrzYEaFNw7is2uLW Mj4EGb1bm1bRiOebZHmm8WBxrPzAAULj12ZPS9dArj6sjg8cB42Z8pamz+15 WPneMk/RiIZl53Njs9k8OI/mL3AwofG8wnN12rFJeGUUItRjQaPlq7NCzVwJ TJ/iLH/akkbdWM7jD7/EsavBYLmUFY03oWZWFkXiGHIZdNW0pTElN3pHhr04 lENtGo7Y07jyPDZx6T0x+P+j+nDCg4bzdam/s0VEYeD+ynpaEA051ZDFtaIT ZLSxc+3LizQ6pNZtdD8/TrIMJ2sevUzj2pup5rclxomy7BZecyiXT5Wk2PeT /iOTX37ISgqnMUtxskeRxB/SKNsjiTgu/9NM/3lQOkSu+kuN9MXTMNWykRxc NUQ2/NRsi0+kMZActSn3ySDJe3n0BZVKg8qbc5KfOEDiPISdGh7REBhdjZa5 2kc8S2YWuOfTGKdeiCSp/SCqi7VT6UIau0ZLWEb7O2mN2hleV0Qjzknx8bo1 3cTC846bTimNU8tKJYdcOomevIqsRCWnH0nv1kMN7WTovInY31U0Ztv8ePJl tI2k/3L76VpNQ9jNPvIx3UaY0kcl72ppuB5plm4+9pXwvHS9oz/QKCsP3Eo/ +ESKPtramjXRUJhZaNqm0UxOrD1jLPqJRsYb7TfPn38kPfIlc12+0GinXEvU 2htJUkAHf04rjamxUxRmBDYQu17+YFUbDSevI1HRS+tJXalpudY3muPVtDGl +FoSssTraUcnt7/Uwzv2udaQdbev3Y/qpsH1HgXlOu/IC6/Go0I/abTG1mop dFeSu3P2KlUMcnb+ra7FOSVEZ6maxt7fNH7nnNkcKPSS1K0f0B4epmErvtXN xqKI8I4GbFAao6G7RuHJYvc8EhO8efuL/zg9F21Ui+D4Uy9u9m6zCRryFc4Z SvnPiee7FG9fEQZl1gHyK8IeE8G3g77TxRiouN674LLoEYkb1wtIEmdwocZU xb7rAdGXlgjTn8RgqZrkWERxMmlUextZx2MwLDOx6ktXPPFefTN2v4BB3k3U JeyJIZN32j0Qmsxggc2X+1dM7pAED9Vn4ZIM9NSXNup73yQI6C9YOJXB1/0a Y4MruP74dk5ZkRSDcfWezlD9YHLo8fk6y+kMXmmUPHDdcJ5MKTP91DODwVSj NrdizZMkqWXWN39pBpX15fYuW73J6t8tvXKzGMiqhvcr9NiTJsmUPxmzGfRN zyj+FmBGjigdFF8nx6CidIGZiqMqmaarN7VZnkG+9Np8drBDP22LuOxBBQbT NU4vLivRI2udqxj+PAYJfvztPlssScupiIV3FTl/F5kbXnrlQo7f2LN8GcMg uClZQU7nCJmZtgDlLIPup1nYQp0lD4v61tv9xaDlH+kRTb1AYvxP9rbfygw6 D8wfuLgjjHz96W8brMLFM6qk786SG8RXwtSJVWVAynt9O1KjiIzCLK+/1RhE JFpb9++9RzKWthzfrM7A9tjVwxfyY4mJSbJ/uwYDyc+OJnauiaRtj3fIicUM LvXFLFV1TCWnjurenKbJIGWgMs0vPZ1kxlWmrlrGQLPW1J8NzyIbs8Of1C5n QIX473Fc9Iz8+253vssKBg2e7naSP/8mchO9NTd0GYgL/prwacknWdLZTWqr GHSkl5rUBxYS04X+/xbqM7B66qQ8TauY+O2UGf1hwPnjZzHjZWEpmev5WdTf kEHUC3i2xb4mzwOSJOXWMNjBNzo+FFFGvj/WodcaM9h8VipN7UkVMZ+y2/iO KYMcsRDDyZ9rSY+SylYtM06Pmcce86Tfk0DdXuuyLQyiN8/1YrbVkxxnP48h cwaJzWUqizoaiVJxYripNQOb9i8FEq6fSNXC4bgmGwZqfxzEftZ/Jj7hxo/3 72IQkyH2uTKuhZS7dL4NsGMQ9NeQzE76K/GWUuPnOzFYOzOT5Gu3k3zbhycW HWLg/lH++/3YbmI1nLVHKpjB4k9bnbR6BojYXnGPOyEMBiKf7PBwGCQPy7ef XBjGwK7LOFSueZAI3x2KNL7GgFUxK79TOUSS1qyoPRPJQJ05edM5c5gMXs1e 0xvPoCfthctGvzESpl6kWpPHoEmm++5OEREkrbDmnytgQOubVtsbiCDfcKBj SRGD082f3grOiKBnp3L8lRIGU7798pMdE8GGgIvztlQwOHH9Wm9MjygkPm+d Wf0Pp1+X7dlzwsSh0NXdd/ojgy0Lxlo1CsWhNej/blEzF9/+W0+v9orDnnoW EtrC4Ooly7G1ZhIo0Jbnb+5g4Bp0wUJNfBJOhLX+VznA4HqhcLLDBh6u3vJt OjnEgJGeLpvtyUNKgnS2+jCDLjFPN+MbPDTmrPMJ/sOgX/ybr0QTD8s7U/s2 irBobHhSMribj00DRu/GRFlsmebs8PMUH/smmtPTxFl8Gt//r+z//2eSljow mc/iT80xuYl6Pn4ZHOoon8piSlGp8hh3//M2SZaemMbi27PzJu47BZhnmRCn NoNF72T/15JeApi6N9pdkmFxr/usRF20AA7HvKA7m8VrzRWnRzM5fvAXzOuW ZVG7cWPxplcCpEbpNZkosFjn5xp3/IcARfHvX4zOZaFT52VlPiHAhwz3yBRF Fv1PT0laS3H8/OqehUCJxS5iJ/9rEQXFmpXLXvzFornrVtcpfQrazTUz9s9n ofev1V1djpcd+8XevVFlETDdWg4OFHalGFXZLGQRotsnWuVBwcLOv/ynOrc+ ZWmRcIyC6eyXr88tYnFtF3zenKOw9q1oqfQSFgpzqEbtSxT0AwyLkzRZLJNN 6e7leHT5Kr8CXS0WszYd9Ci9+f/3pqLcqmUsGhYwZeuiKSinimTbabMo2h+4 dNZ9ju/2rn4+sILFmayWkWVxHK/KnntyQYdF8pd93vEJFKZUF2bK6bGwqJ43 4phEQeKCcMaDVSyEruT/OpHM8fIqgwcgLOKHnIraOXto4ExKLbjxgeeb4zm7 J7Ug0XE1N77u3rNcbn77XqH4EUMWVxjNCo1EjkdlEXN5DYtDwYdvj3Lr11Wf vjtvHQvjwySdiaFQcSH/dqYxC57Vu7CkOxwP609ErjFh4TYzvSY4iuP7Qf2I xg0s7nseoupuUMhKO3XddRMLG9XUel+O/9Ps866Mm7LQNLlfF8T1C3Fy4yFX zFisbyMpY34Ubr9bdVlpK4vtK74KNfhSuB54MujZNhY9muoBclx/cpnkBphs Z6Fu1tH92o2C/9CYX7MFi5TP1R2t9hR8H+id9bRk8TTZd+kBKwqH9vmeErVi MTyoctnRjMK+mj8+C2y5+Wd79mfoULAJ0j2Ss4vFx53+vmKcXsxx4uDmPSwS 7rx+9JahYPRw9MBhexar2yLya3gU9Bx0XHkOLFSdZupO+SOA1pzjzrccWRjI f5j3+rsAShdH9ha6sNizWTkgr0qAOQYr95i7shBfH5o7nifAzGEf2w43Tm+a hW9ePhRAzHF4h6Qni7N16790Xhag1eD3xp1HWMjz5LsqDDl9Dy83+X6Uhcc9 8wjPxQLUpB9Zd/oYp//YCpI8hzsPCkMG8b4sbKsMVL/08xEzMrC89xyLbv0l c+5z53Xvoz7FoFAun94LPk9t4cHt3LYxkyssxmYcL/ldzMPhbVkNk6+x+JLc VHcmkYfAwcMhYeEs/J7piJ89wMPDlSN/IqJZtPRmGuYOT8JI4UR9QiqnbxHL 9kyu/oTVTA5++YqF18p/KyT7xRAVe8A54A2LHX3rUw5UiyH2UJWhcTmL1uXj O9IeiOGpTNhoeRWL4lFVttJJDE1WM5xr33P6chR7W/FBFPNbZQ2/trJw8ReW WZUrgsVZx+fGtbOw+7MhdHukCHTOfxxx6GARlGHk6nRYBBvnR2d0drFYsMrT 56S6CLxdFef29rJwevhsS3S0MHz1zo5k9nP1ofmDfeoxYZyX/Fp3aJBFxDO6 Om+7MG6mx14aHmaxcJ+X8x9JYcScEXN6Mcoi3V/Mfn6XEFK3OKz2HWPhrphn vqtUCFlMqYL+OBffJ1FR92OEkNevPDIxweJH5f7gvlNC+B9etJ96 "]]}, "Charting`Private`Tag#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwUW3k8lN8XHjP2dcxrNxhL9lCpVOq9SllSIQkhIXuiVVH5liJLJEkhhFIk lYqSey2V7EqSVIqEyD4z9t/9/eXzfM45z1nufd85D0PV87D9QSqFQuHyUij/ /5l51pN/hXfcpuyOzA1rzrNh7UeWzV6WP0npnovwxXjpbeUFFusUWVJrS6/F WDz5eYlw53ky6dNHHpsLbJiJElT4WJdJ805l9yWM9Ue9ryz5JpIxfgYrv0ex 4Tfx24vzn5PJ+U2ecQMX2VDjrtCa2bnrZF3YmZPK0WwYtPH4IY7KTXKg+y5v ZAwbPm3vyZvakkEGKfubicWy4WygTfe4bxZZp/jU9G0cG2bzdF/mbM0hsxU7 +QoT2NC86eoy9uc7ZCR/UtGrRDYcSLOomvLPIyMzOYB7lQ3jvRdcJ+fyyYji pI8eKWz4cc4vZUzlPhnV4bT2+U02PPFO2Wj08QPSL/SSXm4GGypca28Y2VJE Huv55VWRxYaeuoD21/cR2ceN+nv0LhtS5063TEWUkLZ6XA/GAzZs79mjNLX1 Mdl9Ztrn20M2DCsSKZ/4/IRE6TuPzzxjQ+vkfv6J7Kdk1FXhe9Yv2ZAZVuUw 7l9KzitKVtRVsiHacnJsdO4ZyTyg+Wd7HRsKfP2lNaJSTnqgpfKQb2zYiV4f Hx4oJwU5LeF6vWz44G5azd/HL0nbq/e+EINsuPPIzv1DWypI3lO+TYem2TBV 6GXqH19IToUf8LWic2DpSesjR+UQCTifOo/KcmDG0Fr5yQhEloTklzUqc2Bw K8N3YmsVGXRSxFjYgAMZGXXU8c/VZMU4ZeuLnRw4J/78fohpDTk8nmzntJcD +/7LtR3LriGLutXLtD048Lnv2duj/rVkd9YZutMRDnRZZbz+39wbMv7A+pCp NA7Mqc8K/avynuyumNhgNsqBU2nPdH/EvydFF2JO9s1x4Dbfht4PM+/JCE2l 71WCXDhM4+x5+bGerKgLGdJT50KTjTvXX45uJJNyyJ3VLlzY+mieqjXaQkq9 ETLT+MSFDFLIXcyglawrkw797zcXbtBMWR/t3Uqar16YVWRz4ZWp+5On21rJ 2o2HOEJyM9D46qeDnoVtpPdIyN0W9xl4rl7fesX+jyTl+Ienq7gzsODxC83C 6x/JqAImO1J0Fn5I20xb1viRFPXV15FQnYUavk4VcuvayZChh/aj1rOwnhZl QCE+kfot1s5vcmahzMavjJa3HaRtt7H64r45CDR8Ri0XOsj5Lx+Xnzw2B/1F xhuqV30meR8g/tUJc7DiC//F59mfyQKPLaxIOAc9T6zkZJ7uJJMYOd9dtOZh 8aPLX4MMukjgBqxteBfgEGMo3vpAF1nR6Pdrk8oC1DphvUk7pYucP1oyGLJ+ AWabiuT0znSR+uc4simhCzD5fbyPy5uvZJKwY2H3rwV4ojdx3ML1G2l5RPVN btsifLJt7M6yxG+k/t7mq/lji3D0vq0Drfobydxxa3FQYgn6hUi+qNT6ThaE Bp3esGsJuiwkR6ye/E7KbSg24m9bglkiDRckt/aQ2zx1nR+HUNCmjeGuke49 JGNiuar9eQrqDtZbPXqyhyw5sDdbOoWC5D7E9Tc+6CHzeAHBV0ZBV9NsrGLo P8me/Pkf0Tw86MKyZvGlrz/JMLGNjvrpPMiXbLs5fKSXlJvX940YpCLKHfbL r3G9pGeifO6qJSpK42V21+f1khGeg7fFpGmo7r2P8v2OXtKBhx/qmNGQtsP8 nYPr+0jeoYstPOk0NOCnVfSd5zfZ+S2vSGsPLwpIPlPZmtRPDnzNv1z3iw8F /9bpLS0eJB225S047xNCPe5fBKveD5LHth2aKA0XQrs7Ywya+gbJND3hed0M IWTS8OfUb4Uh0sjwQtrBb0KI9jifLhM9REYFe1ryHBBGaRGqm07u/0ty24/9 0AkSQVWE/M119BFyTLlj1cZ4MWScUFe5VW+E9CPLEvyKxdBd/rA+u20jZN1R kePJrWIofqbDMCBihDQKbtn9TUocOf5IeXtrYITsNNplYpApjoYe0Kfm0D8y xlkkLL9QAgmrRmn9MBkja2cifZS76ajO9Krh2a1jpMlIktHSEB1dcrq9Vsl+ jNQY3WBVP0NH1KQyi32BY+TUd+YGpqwkml0c9v2cOUbSS/+WpNlKor/dewpa qOPksH1kh2mlJHrA9SwJlhgni5z2Gh1okER+UiFlYsxxMuSuY4lnpyTq2x5b t331OCm4sa5sZlwSdb+sHHjnO072rVzzfb86AzWmaemgxnEysjRnmfVZBoot NV6x/8s4qb1r9YovMQxk2Wq2bvH3ONla+ePU2msMVCvgamW6NE4eG3uywf0e A1WcSPIvWzFBaleGNG1oYqDTyZmhezdNkK7QXkK/g4FMih+cYltPkBqVC+f6 vjNQ6e/ay8beEyTXy8zvwSgDPXSYuV+SiuMddlaGihMoKIT/ya7cCTLSeeeP WGkC6cYTL/89miBbQ6jLDzIJdLdmeb3++wnS1Nmjw1mHQN4/1n9o+DRBju2/ dvKIIYHU5iy6An5hPvbdVsvVBLq90nOoYG6ClGp9ulEPEMh15+EJC8FJstvz cObqrQRSCIiY7ZeaJE3FCm1mrQjUefEy9ZLqJKnNk380bCeBUnNShZcZTJIR fHc3PLInkMPrXEbt+klSNECr/64jgRhfShS8LCbJsX/3Xjm7EKh16rUa1WGS DDKbsEduBLpCb9DN8ZgkY56+av7iQaDytUrPdgZPkgOrXIu+eRGoz/0wOR8+ SSZFrRqM8iEQ/VLV+/uXcT0b94c1+xFow0PCYe+NSdL12zO78gAC+bQf/M6b P0mCzpFQ8yACJc+98HvyZJK0La3tCj5EoNdqwpP7Ea7HRPPa2mACDVi5nhFr niSz7+6+l4mxVGixwKuvuJ5pYZ1sjMk0SrLf4CRpLF1suAnjAGjPlOFMkmk6 AZ0nMF9qf97dGt4pMg25b7PC+arEOEahjCkyZK72TimuZ9jY6pUya4r0uCej VIbrlXNN39q4fIqsBav/2uN+tlwYaTm1YYqc/5pkFYX7DX5AumhZTZGmozvD t+N53Gq72tfuOEUCbkj9PVcCveH2Bp/3niLpM7PRaU4EGlNZM2N4ZIoUfCcv quRAIKZFzIVv53A9mlbPjXcRyCK4SywuYYp0enRq5Ds+v9sVZ9X6CzCfR33t wEYCve9tLbr2fIps9TzobLGWQFPC6mvNanG8kZn3GiMCbXd+tz3jxxQ5kP5Q uZZFoBOR8h1WI1Ok9m4dXk85At25F+jBmZ0iKRtojVckCMSdljhuLzNNCiY2 Nl2bZyB1Jc+lJfVpsiDz8oXACQbaaV56+eGKadJv+ALR9oeB8pOdbgvuwP5N Lcpb2xiotfyB9nOXaTLbScxj9xsGmu+Zf+LlN006NWQJjJYxkL1hzrvKC9Ok 0XmtyObbDHTWcdIu6Oo0WRKqepBxlYHun9naLZ+F810u7ew9z0CUxsGxYy+n ybB3rjSjg/h58lupoDc+TXLrdD4d1WCgzsSovM7FaXKg7qijLsFAvC86DC6J skmujWpBCA8DufCFb/mpxSadSicfFHdLIsE7NUE33Nmkh7iZBuWKJPL86gBp jWwS1XxgS3ylI+H0n4dCv2B/tViKdQ0dPXEJZv7oZ5Nphvo86oV0ROuKPvWS h0OythUsPj9FR3mdL1eFruWQrVmaQQkMOur/xCr4fodDlnTQt9z1E0cBrcNJ 5ae4ZM/TsbXVccKIkXSK1IrmkiGF1vWN1sLo5S7+fykpXDI751ruDSFhJNKi sj3kEZeki2S9irokhIqa7Pm0fnNJI47ulPtZQfSvvuxUiu0MyXrV+flgID8K fRPleVhrlrS9U2b/5gIVKfdt42evmiWzxyrqYndQUQNV6EEEmCU9BFTWNMhS 0TKQMH7ZeZZsbX6g3fKQB315eT0yL26WBE5LpQd6KOjSl70aemnYvyTO8kwx Ba3iytc9zpsle/gOF649Q0EJq29LwNeY3/yT3S0mBZmV3L39ZXSWRLvSBFTe LcJ/zX6bPeZxfDCflXHwIkwf0e3vF5wjs++nmTbILMJp3UfLp1TnSJSz8+vt oAV4P/9FhbjDHAm8nvxXoTcPHWtPeVz3mCMph9cFwB9zkNa7gZd5CNs/Jo2c vz4H3Vhou84lbDc54ezPPwcl0+u6tpTNkZH/UjMiFmdgZXns2fpajE3XD+6o moGBnTZqdm0Yl8Yuyl6agW+k2/zdh3D84xrzEukZeMT4mthvNsa+DJ64Hi5U 2b3ncSBtnqScck4/+ZALTyV94YYx50nkV87N3MGFmo/SM5a0sX3+kGYviws/ NrmBS6sx9uvis2NzYOSwSp/oZuzvoT083MSBy0V+RV/bie2rIH/FPQ7s0snT U9g3T4K38S41Fzgw2tKnJdsX+y+3rRHw5MCfF4dkiiOx/d31EJdlHHglr+il cQK2N3imhQpz4IaaYPdXNzEudL31eRzrj59G1M13MX/o5Kmkr2x4nTKZX/cE x4vvEMt+x4abVZ5Z7YLzZKRE5rzQczYc3Xhy5FMD9j9ytqoN64sM13VXXTv/ X3/iaEYuG1qFzxn39mH+D9ZtNzBm33zd6T+O491uC03ms2Fu2bmIsQXsH5xW XoT1iO1nM9ZJ4QUS9My2VT9mw4VpWu2CzAKJPj8lVr3C+kHqrW+UOsbGzvS5 t2y4d1WMiIjRAkm5dVdX7hMb8tpbP7pqivHkQmr0bzZ8HCK6W84K84UO7dvG ZcPGW8Sph47Yfnp34koJDuyvVcja7I35vnuxmrU5kDKq+uZzKMZ/vlyV2sqB CvI6f4POYbxGR5fHmwONtxhJUhMWyMh226krFzlw16G1a2/cwji9FJXd58Co qq0Xqp5h/iN//quf4cDbf23uO9bg+E2Ws3eXcWGZtEPL31aMT7edEXTgwhF/ T0WZYRw/v2G3WRkXCqb4mxXOYFzleFLkHxeqVYb4AoFFEtT/tQGaM9CRce5p gNoiifgTzjVlzsAQ00tflgwXSUqTl6LstxkY65OwlLIR44wNAw+VZyF8mb4d OmEckx6XWzALtb3KeonERTJSoTqsrmMObk6AQvczMP9fJ/9UvK+7vnhruOkB xtEr6cGn5+FVkU/hfm8wTp+vlNZcgLNPx4nXc4ska2XIgY0pi1DqO3edvdAS yXqr8MV2ahEaCFI8/shgPMU/wXJcgl6u4kWSK5fIEJP7Ir4SFNTIq2fu47dE gu8ZVek/Kej2Hu9jEp+wPSn+qt89Kio7F3gr79cS6RHFkvz8i4o+3j+C1o0t kWN2KumNyjTEew7wP+GjAI/v+g35t2jI5ONO+24WBUSaDGT0Z/KinPDAIaO9 FDBWGitKfcyPjJAQN9qNAoxyZOJvjPIjxFvA98OLApKGQqXXGwignoQ+VkII BaD1R6qSCgWQcrbb3sHLFED/6XZrLF8Q3ardVZtTgf3zyxYErgsjXaF/bdxq Cgg5K7CF94MwKt8R/2PXe5zPdd+71+IiqLOjbnbhE67n/UCFY7QIkhk0W+Ey SgG292si7x0TRclixrcZajwgSf6/A+tMxZGa/YdCf20eAKQ5iXJHxdHj1JBy ZMADeuZyBU/cF0etKg/bgzfwAHSq9NVtKQkkvlJTpMEB46JzaFefBLp9olZO bR8PoBd+vustQkfLX3lqnjrAAwStdMIdNOjIxjzLTCuYB6T9beex3ENHsY5y YReieYAcT0jpvqd0pJD+/GJXAg8o8LzZLFZPR/d/OFxbkcIDyv64+Pv34P3b 72rxj2weMFCtn7gkIon4w4V/b3jJA2LOf8z/7C6JzmfN200N8wCT/piVupOS yNaoLFRvkgeU7DQ695TGQMpVR696zvCATo/cpB/48/Tlr6HWVj4qiNRqOKu8 ioEmln3Z9VCZCrLtUp8aHGIg9DzlcJ8GFcT03pB7c5qBrljYJirqYX+1PuH5 aAbS9X/XfHkt9n/nJrE9h4E8i57t8LGlAqfN/84HtjCQ0cbQQ5mOVCCYt1+A t4uBFpv0E9pdqSDMxO29aR8D3RrNbdzsTwW2R+J9EjkM5Be5f/jUYSooeW16 4T6FQGskFUUfH6cCP4q1h7cQgT6sTN6ucp4K6Bn22q/lCZRdsyPQMQbn8xKL 3aeK9zMHobiEK1RQx3f8Zro2gUx/1z6oTaGCgv4POWfwfi18IrJ+7hYVyBXd meJZg/dlftOhlTm4n6+nBrVN8X5+gyMUcI8KPDaMfpswI5BZebBV51MqGCiN dA61IZC4ta6/xEscrzhWpmlHoO6u3zHbEBUY3Q2ti9xDoAeBOQVn3lKB9rQO NdKZQGHzrnWljVQwTNz7rYH36W0JcgN/P1CB1K23nMN4f5RSbhdQ/4LtBenV B/B++as4UcvlBxW0vnf4NHuQQCXkdourv6nA9LFq7Qa8n55t5fet+0sFvINy 2svw/mpzoPrS0jgVlHkrZb0IxHpg4szdNVwqyKPWNkzifXfg/Lq3hxapIGPB ZE8X3oefE9O/83hpIMZ22Z9AvC9H5ZXwdQvTgDE9ZcV9jO1XBy0jJGnA4fXn gWSMWW+1tlrLYnz18BsdjP859nr/p0QDfu+HL/x/X6/4czuqTJ0Ghsc/9x3A +WLDXPJGdWig1Di1iBfX4yQkU6tpRAMZD3fm7vUnkOattl63NZhPfLWLhy/e Z3UTaNdNaaDP1yJEFfdb/cpSvXEzDdho+5Xf8CRQkg3vFpoVDTg1Mudq9hPI /Rv0XL+LBtLWHZi/i/dt/eDw86F7aGC+5OZFMzzv2cU1dwr20YBJe5RHCj6P usSJqh8HcL+Vy52y8Xmlsop/yvjRQPaK7yY+O7D+euzPszOYBiw/01v7LQlE +dgDKk7TQK1wrJsiieczWJlz+j8a6N5TX+OyjkBClEzquhga6DRed95mFdZP y51rn12ngaK4nI3bNQl0Y8vaZccyaEBOM8bJRQXv+y7Sl1bmYr4AWwEW3seX RbdZPCrB8ZmZvh8F8X3JfFRw6AUNhMR1barB992gNEFIv5IGKhy2TB/iYv35 06qhoAHPw5tnN7efgaw3VO+8008Dx/wFTZYQAzXbZT/yGKGBpEZz/77nDLTb 7yxdZQr3+8lOP6GIgVyvr/+QzsMLeFfZvV1+g4GCR5/suc7kBXlixd/f+zPQ tdxc1xh7XuBwx/3mAT4Gknv53+ttzhjfOp9P5UqijNb9ynwevGBs/7qcsCFJ dHdBsee/Q7wg8ptf4Z9mSVS2N8UrPIYXVGxyfDp6HetzkYsBwZW8QJupuOOq kiTSPOYT5qDLB+rUdc3uK+H34fofu7OM+EBF9ptvpuJ0ZExxMhxawwdK+D7P xy5IoM3xVv3ntvCB7JaWTSFQArnn6TsUuvIBikzotYObJVBq+4QhNZEP2P7r lhzdKo74Vp/782iSD2T8epQTbC2KROc41bMzfKDsYYn9F11RxKgKub2Vwg9Y xsaiO0REEWuH556vovwgI//AA/tGEWR6cGsNvyY/aHTrCP67UwQduy6S5ebE D9IWNzeNOQqjvukbjiKv+YF+zzIATwuiO2arjn6r4Qcphy6lBe0TRPsTmhMf 1fODspToK+tMBVGXBt/73Z38YOx+0vyqRQHUtvvIhoxJftBjs+/nswsCqPKx DWu5rgBodzScML3Oj24c4hnaeUMAmCec/mTbzoscyjP4VW8LgLSzHUaJ5byI wWeiPpknAE5M6KDp27zoSkaw640nAsC28gfNNIAXRTV8bf7RJAAUNtlHlVB5 UYjO86chvILAdkG82mMDDVn/DjiTHCoI6O/uq3k08aBtZ9SLzMOwfYxbtqWM B22W7u5inxUEZZ9f/d6Zy4PWb91hsi9eEFBkFd9/PcWDdPMNJ9XvCYKpS3mL Tdo8SOTglN+zbkFQq+a1l/cKBQkuFN3w7RUEafPBFs7hFMR7/eBb+SFBYLJ5 RU67HwXN13aon+UIgmSdZONN5hQ0rFH+fRtDCLSf4w8unVmCjX1nHDothABT 7Wj5pqFFWBex5kLsTiFwbP9+v9vvF2Gt1Ohj0z1CIKLSu9ji/iKsMPeQyPHE 8TYfmCf8F2FR3uZ6/zNCQCMwxMR0ZAEmeAuAuSdCwCZSfsSAugB39iXpKSsL Aynvfg81jznYqNfX7qohDDSGNwl2Wc3B7UfXnk3XFQaN33Q3N6yag5bU761y a4XBfLBikbMg3sdYeicIW2HQvteXoVo6C1e7vkGC54VBX/FVDyOZWViaKxdg ESMMRJ8urwygzcKVfwOJS1eEQeSNe8+/js1Ag9MMH1q6MBjuVkcejTNQO22/ yOJTYRCTVmYycXEGMttn9kz+FgYlOoO3RWgz8JbijqUVw8Kg6Gh70q1JLpT3 yi4ImRAGTjduOLn1caHMxLa5kUVhECKdWnXmLRfS6SnZA7IiIIp5KXRZAhde 2fvHSktZBEw5W8bsPMeFYlnrJw9qiACKZ6z+g1AuFDb4ubXXSARoo83nuI5c SLMx+PvNSgRkCAecfKrOheev/ZfCtBUBY/ZeIm6yXEj52r5xn6MIaPf7IWci woXz/uFJnZ4438EitfOTHMiOrlv9MVwEuNJ3p3i+5cChGs/IuocioPvw1mUb jnOgytXOgCulIqDn9y5RrUAOdHDfucfhlQgwtblA236AAyu563R76kRAWgZv 1vqdHJi8XLKd0ysCWGqfJZ7pcuC72UuVr4dEgMnRhRk3NQ6cfzdfcGFcBAyf ZM5tVOBAH8+BMxJLIqBia3nLnf/rpxtQS0tBFMipNlXOj7BhiPdqxghLFDSe dXPe94cN764onH+iJQqKXv1aNdbDhvTG1LZNq0WBcXihRUU7G269KVrBayoK wnYiu8lmNjztc/5u/WZRoO98aKPHezbsowSHO9qKgooLOw58rWRD+ebeg8y9 oiBFrjZ4sJwNd6Y72/5yEwWie10Elz9jw7LVW5cFB4qC7N5rSQ5FbDhCfSVh fATXYz/tZFLAhmqtRrMzYdhfaNLDLo8N4wOYLRcviYIyvcODaplsWLU2uXx7 As7P1Lf8ehPrNV7BPMkUUZAUR82tS2VDvQ9nrny+JQr6Hp8eGrrGhh5Zk2GZ OaKg2+yhxOarWC8G+Xt5FYiC+OAtvM1X2LB+3Y8dOo8w/nvi5ZV4Nlzi32My +kwUsAYkl0XFsqFxe73aswpRoMF3eG1xDBv65wCx8BpRwNx26rdoNBveDn7O AfWiYGC+UD37Iht+3KD/i79NFERpbbVzimJDQaE7jY2f8fwG/TI3XGDDjR2y L5K/iwJXY7Og3efZ8EhuQo7Tb9z/iarKrP/YsCCEFq88LArAm6BUFsbfNp46 0TeBsbDj9KdINmSIjHo8mMH9rGB9hxhbdnpvD6GIgcZdi7u/Y3wmv2v1GgEx YFr11GUFjn9yxJY1LyYGTKxS2GUY/yHfCldLiYFI7Sj94zg/U8x0OlpRDNCN uDw+uD67rsc/dqiJAamW6Yg4XP+le1r1hI4YKFAk8n7j/l4dyyz9Yohxx4mz x3D/Y2ZEVtYaMRAT0EmYXGbDZRKXLx/cKAbA73NBRnFs6NK9eFTPXAxQRrZe dUtgw8T7x9zHrcXA2KNrcTCRDWtPDFm+sBMDPc2eBx2T2dBAskNpy34xkLdx 4y+1NDbsT+g/f/2gGCipLFnDSmfDTGHOnz+BYkCjkajefpsNRXnlnsSHiQHz mHP3lmO9XhupLfvjrBgIGb0g24fvU/iCScSKi9ifcnioDt+3Ibbzto6rYiCl 6NagEr6Pd44GFGqniQHX4+sNr+D76jx2mh5+WwwUtZ0VXo7vc91gepdKoRiY P+1Qzn7Hhvnd34L9a8WALY/JtVff2NDV+d/HV/VioO6MmPKdXjaU6lg0EW/D /S0olr0YZMPzLSq0p9/EwPCWy+4hbHwfqw/cmGeLAabbQqA8gwPlyCPzOxew 3Y5+8LQ8B7a8On8ghyYOMo6v4hFR5cBNz3L1ttHFwYD06mOvjDiQWfAbJuqI g+xPnOv77DmwXYOt8ctQHMitTZ7esI8D43L4Y43XiAPR7+H5Nt4cOHtLy+HL ZnGQF6vvsHSCAzsT/AfUXMWBByfhWtFtDkwSPr3juKc4oGick2fc50CL6Ngn 7/zEQRHV5WL2Uw58HlkYEXRcHACLnYOr33PgtaMj9OdXMJ9xqsJTNgdajy0c F7wuDqJuSIslUrmQekj8q0u6OEgLP6+RKc6FIT6G+Uv3cHxVpaOtFhfudA5d Z1UlDkw064dl9uH3Lzl9oHtSHLTv0WJZNHJhmJm24PNZzF9cZJDRzYX9W/YV J/JIAKcTU0KGI1xYbVk1u1lCAgDa7KK4xAw8bZ9w7b6uBAh6fPfX6z0z8O/B ZW9OHJAAnRJOjYKjM9DFzynQ1k8C+NlVvHPAn0d1AXGSuoclQNT3RsVfsrMw 7/C427cICZAS7FFRZTYLXU+9Zm9JkwCRRylH09NmYWP8Hm3JFglgiTQZ/+zn 4PrEmOahTxLAWOspX1DgHCy4+upYbbcEsN2yoGEYNQejUlWrTg5JAHPpwZ6L z+egcitbf5RKBykpqUmHlOdhx5fqN3uU6cB0VrJm+dw8tBhx4ajtoQNunchq nuFFeFvqwsdzTnRQQHdjcUSX4NSGwkfd++igrCuybq3BEsyOnfNN9aQD18Pt ZrdCl+CsVkanUAgd1OmGuA3NLcEiz2/lY7F00N3549GxRAqid+6PqER0wOxN 0vzdwoN8lqKdFGvpILtQfZ78zYMqNEuMw97RQcX2RZOaWR7kf5wysqKZDiLq 9bV3aFJRNSPHLf8rHRz7JHkn5RwVHdvxa1M8G9e/Km8IrqOhzmpvHhd9SVBi +lTRupEXjZl1KZwxlMT6yVhhvo8XCVTtMs5eKQnkFj/ItS7wojVwvW+/iSSo vaZ595shH0p5RW86slUS2Bx7eDfuOh/aVVqRFucuCSinwv8Svvzobb6U0esk SRDTHlYbqyqInsXUurOmcfxlnjrvQRFUYN0gF82VBH7q/+0/iPfZW6IfPozM SQJ6P2kTulwURSb92PaKygAal9je90JFkU3arIEjnQGGDbcdCp0VRb/uGS3F 6TEA+NbLnyoqjsTfZWRxDjBApPNk/nlpOuK5nOvsfpABNhOfHbU06WjK+gHx xo8BQv7dIAfW0NGX5hfRyYcZYMwGnfJwoqO8jg+Hl59hACc3hdBzt+hofb8g 8ErDfDHuZfcVJNHyAonZ9+kMoJ2YWrFeVxKxAmRKjbIYoFOv81HxOknE909d ezGfATK+1Bze4CSJWqc30W8+ZYD57VsdGq9JIh++4z3NzQww8GjpTz+NgRRU 3n+ea8P16PuY7KBj/WOi1KL9iQG4WZFDcUwGWhP05vX5rwyQF2TNvWLMQPwf pdPXDDBAWdOg0TVPBno57J/s9ZcB2qGvSN4hrIf4Ky8n/WMAv9LCTZfCGKhj nU/Y0BSub7hY5VUCA+VnP99zm4cAfq0WNU3PGMjppfCOBl4CpP1K2G8LGUi0 3d2cK0AAXjsj3cw6BjomILDKXpwAzEWvR1e7GEhbdZ/uOUns7zqevraXgbrX P1ItkiJACvqjkPeXgcyD99L5FQkwdmd6ZdMcA3GjCwVWKROgdPXJhWgagYpy lhb3qxKg23X7az4RAkl9ujdSrkWAkoeRkdvkCdS3gVt/yJgA7Z/DHJtXEiht j031rbWYb2l0MNuEQDaHs8vfrSdAjLtugf4mrG8vT5VMbSRAa+f8rZAtBCq9 Y1mgaobrkyhqDsT6168iI2unOQEqrPntlbA+ZnaMpYZbEKAx5syaKKyfo4Ru Xvy0gwBlfS4ngrHeNlEfiaDaEcBorIY6hvX4sKnZMUMHAnDbo+zVPQiU7Xg9 0HUvAYaDmy4KeBHIIWTQ87ILAQSN6Cgd633B2I0uz91wfWNM7R++BKrIvWrX 60EAp7YNA63+BAp5/duS7o3tBpYGIYEE0vi8Dmz0JUDP7Qa9iiACdY4lrA0I IIDNopxM6SECxQv/MrhxCPtH+mruDSYQ0FijWRuC5/V+5GYexlMbY5XGjxIg W2jhcTrGBXu/SymfxOcnxyzdgLFr6ErR7adxvQlqQxcwHz3uEi3sDO6/a/ed ozhfbV7XbF4kAbztThsK43rCKg0m2i7gfLrUwW24Xv3O84OLl7D9tJSeDu6n Z7yjRy+WAKIyTxxLvAmUIqLX6ZRAgPiDzW1fDxDIctm5lotJBChgBQgUuhNo ftPHt0+uESBo4qGv0j4ClThpVf5IJUASD5/fyr0E8joS/kz0FgE8nNdeGLQn 0JqV35/pZBIAdaBol50EEp4Az7dlE8DSeGp/iBWBvj3Ofe6Vi8/jzI9MXXPM F8r/IvIuAQbM+zpj8H24sML/ReZ9Ash9aX4Yi++L43jDi5dF2N9xpNIQ36f5 kKtlU0/wvK/QN3hqEKjFaKpM8jnO7ycgMMok0J0xx3KDcgLY6m1pU5ImkFUI 86UfJADLa72XBy+BUg/fe9XdQADKqkP9R78zkL+hcMVMMwEin8M+4XYGMh0N qpD5gPtLWB6z+T0D9QavfG3bie+jZm/ctScMZBT8urK2D9er45FVEclANAMW /PkHn5/Hf4+djuLndeQ8XBzC/ccdfXb9IANFHLJEJuO4ftWkTZOWDPQ+6GNV 0QJ+HsxKsjeLMFCG/prq9xQpYNL6yKl3VhKFDKdV99OkwNg1+2CRIUkkE+Re wxKWAnSJa6vN3kkiz8DB2hQZKWBZeDbH7owkmvdfehdhKAWcBlrbbnTSUYuO Z93NlVIANBBnwqvp6M5gbd3z1VLASLusSqSIjqz8Y9+PbZDC/cyYrDlLR6l+ 0g3elji/7txQmzIdGfrqNdscwPGSlvKn8sTRd3+Vww+9cT039lp4BYij+CCC Lu4nBXrOnH360lAcDYbO2bUES4HsnDsC1WViKDei4ZNdhBSwXfv66sNaUSSb HPjN8Qbmu5NzXK1OGC1VFA57NGE+lvGpmVx+VAyzEqpapUAkc+M6Ty9+5Fp9 zUCtHfsPj/2ZUONH5e/CQ3q7cP/9Vmdy7/Chox+2Tx0cwHbREO/+PF7058/f uQCaNMj+KrxD7SUVpQ79yGjglwatIjo5zWepyHzk40Z9YWlgJD19hcecinIm Xp0boUuDMXeZ94xWHrRvIY4WoiwNWPJOjy+NUlALQ1/k+DqMfy8UnclZhJsO HRpMN5XG9W90PmWxCIvfFb+rJqUBRW8sbeHfArwSsSKKvg3jhfC71ZsXoE3/ moVCe2mAon4IGizOwQoQ9vXDHhxPKvS5PZ6D+unl5TNO2D/hc5GzzxwUsTU9 YbEf4w3mn9s/zcL6crPRX4HSINJadPpxwwxcL3WhSegw5uP3dVK4MgMfBNcW Gh3B/hdnzOLsZ+BldQu/s2EY29kk3vnJhdwzMdvyw3F89JYrjkVc6Nf5XqPx LMb3mZYGp7jQMsHmp/xFXE+6WaynPBeW/UmAIAZjtmpkwzAHam1uyfSNw/6x dsKh1RyYmkGPuHIF2y28Z51ucSA/x87l2VVs/9fPiTnGgSfsrpl0p+D88OI5 fjsO7C9sl6GlYXu+8a8OQw505JeZ1knH8eovkaYMB77x2PvR9jbGgmnXJHk5 0PhV2uOTObg/H7ktblNsmCfdlXg7D+O77tVCWB9LhSgGv7mH8bzVB5luNoyq d7UZfoCxG+SJ+siGUxq3dYlinP80+6FtExt6nfshuP4xtr99T43A+vjDF9Yf j1JcT6TQHG8dG2429nwT/QLjW20eQxg/uZKbW/wS+6f8atJtxPp3sO+/T69x fVoLhbVtbJi8RdNjHmH+l2D18y9syHPbd5N6LcaZ8ccWsN4I4RYwrd9hPN67 NW2MDXvsh2ZD6jFe1+4YtcSGtg/1vtxownyx3zUhnQORwKEXla04/9ZegW0a HGjkWXz990fs75ikLLOeA7MrRo+Kfsb1DLR56mN9QZddYb+q6//nsTX7YhAH ngs9YuTy7f/zeXRC+TIH/mt4Kv5fD+Z3OuoyeY8D3TWnh+/1Yhwhep2C9cKm ryfvTw/i+ECZA6WSXFi8ujyaOYLtbt5P7ddxoVLS7MEtYzi/y9Yfcl5cOG9+ Ru0qG2PJxIvCr7kwKKuSUjaD4/1fn9HH+3/3zNL37/PYvkrJxktlBr4qPp+u T5MBiOdc5ezlGchvs0fhBr8MALWuVax3M9BuUOsmj7AMoKzYy7nNPwv/qDel dtCx//5teZfiZyFxUzY5UlkGRGrZq+o9nYPua4bof1Vx/ME/G02p8/D+x4rE PcswPurM9Nk9D0lxzwRdfezvl6v4E+/vgReKYtrXYb5rgqtOeC/C56xzAuRG jCfVMm1rFiFPpd2l+wBjj7U1M+pL8AaXfeGshQzwWGq9mDS0BGsOmZ3T3oP5 XRUtv7yhIEWnjuMRITKANahVppxCRT7TBVP9R3G+zurGdx+o6HFy+FG7k9g+ oCE2JklDFk2sUM2zOD6PpOZcpaGjmwODWuNkgK1Y3dmX13lRgz7FS+OeDOix 9nG79oAfhfPo2jZ+kwFGyy8ZXv8sjPrNRTo1f2L+fw3bM2RFkG3M8P7/+nC9 p1dF7N4rgjQkHh1e81cGjOnZPXj9SQQ1Mo0Ts7k4vvzQOLtJFCmbbGo+RsgC yrLy91P3xFFMuIpji4wsYHnsdnrbI44mKinfdRRkQfYMbyRFXgK921oz8p0l C4DR4ZmsaAkUsttSzMpAFsixpiyuG9BRdbC9jZKVLBizOL6NNUlH+k9WtZ+0 kQUme+xv8gpLotRpKdcPuzCfwC6xSyxJFBjxOTDaEcefy9RytZFEUrGuceNe skBQ2yVwfZYkOtu0kbDxlQVhgv5lw08k0QBdJf1ugCzgdr+aMX4riV7f+Plg XyjOx+S5E/UX79f5PvVvzuJ8X+uE6CsYqHXAwp51Hvdj9UTrgBkDrdfX6Tp9 Ece35E9usWMgiad/Bw3jZUHr46xtrw8z0Gl2Y2hsIs7vaWy2+ywD9a0rnulL xvldXrWeimegMhQidOumLLDcfUc47B4DqfHaX53KwPPYwn9mVykDxVuskt+V jXGXjtQLxEAHmqe1ee/JAidQWLKmk4GEu09bBpfKgrTZsPoZHrzvnLwvlvgC +/O/z38uTKADjM4Pj17KgpjHbwUJgkBllqvdxpEsGPAlnAvV8H7c66XGqMXn lf+t9Y8OgSTOJf9Z+U4WlKjL/641IpDPs9HQY02yoHN5A+m5kUDJtsprr7fi eVTHmqvj/fj1X5v5Zx9lAb1LzvMS3o8HLoVXdXTIAm1tLn883o+l1B5c4nzB +auz7xnjfYx83bld7pssCKEerIx0JFCAk4Dkuh5ZULrGsSHEBe9Dk6s7nHtl gelyHQc+vO9VXfFOP90vCyquK/RtwvvgsM41j/RBWSC6+aOIMt4X5d5ULasY lgU922wO5P7/+2geY0Pdo7KAl/L0XIsfgYLnlEsWJvB5ztkI5AYQ6FbqjuPK bDzvtn2ZynhffbMiYj05IwvqflKGN+N9dqzxwdL+eVyPmOodOt53mX5faiOX 8Pm6WB6NwdiSJhibQ5UDnVamRoUYH729Zlc1nxwAxp+44RjfXndQqldQDqT9 97J0DvPVt1/7QhOVA4I/LivqYcw+XH1bQ0IOOKxV/yOM86uKjHttZWC7RdrH 9P//vfKuio6PtBzWz8ys77j+MLOd/y7JyYGkg5NC7bi/vO6Ip/cU5QB9wLMj AvffcrIwrE5ZDpTGZ9d9wfOZZXRtHFSVA/o3qu/+xfPTLBakCS+TA1GPHpk8 xfuyndXaOl1tOSD3TdxyhROBIvoOJmzXkwMaKWuzfRwI9FGhRjZhBcZ+jh6z 2wm0+Gy8+6GxHGhX+OHjYkEgXTvWnea1ckBq+drJY5sJFBl9Rp++SQ5ohzCH utdiPaZWNG5khvkHty/q4f348+uu53bmcsDjZchfE30CGUytNbtmLQfKNL6V JKoQyCXRh790B57X/pENX+UIdFH3ekO7rRyIOOHDNyBJoG6PiT0ye+VA5Iqr NZZY78U2FQXc9JIDppa+OiTWi8/9vhq+9MHzsEn/VoT15E+a8HSXP54fr0XN rzYGMlnve44ZguM3PLr3AOvR33dVU7Ii5ICrRO3lmjQGGo76OUOLlAPMqgc7 irCenfDM2e93Ac+rZG/Hvv9//05FVW9FLM53p+0VEYj19Q1WdfUNORCfQEbw r2cg22iVsd9P5EAGf6jIVLMkqvBVstEfxOdxyqv+63c6qtn67XHSMJ4fJS5f qIWO6tUzZadH8Tyq9zBVIR19/sHsfc3G519NNaVn0dHEXubpXbzyYB7pu/G7 05G2pWLBERV5ELmk0sf/RAKlaMvzlu+RB35e/DseJIkhV3fNe71O8qD2Ef1F bogY0khZZS3uKg/qnH5dz7QVQ6VLO5K8PLG/yifvVLoYau84zxQ/LA+M2lLP PksSRcTFYWOvGHkgp5S50z9ZBCX/hAfFXskD7ZpTvsfyhJCLbJOgSaU8CDrw h8/tkhBS29FV6FklDxpD3r9x9RNCT8qmxl+8w/mHyg/m6guhD4k6Zz3b5QEy qUVOzwWR5KZrqS9G5IG3qRdR3iyAkm75vDvAUgAhPlfCLkvzo5Mnzh+NUFcA 9BzWxZg5PuRuf1vlhqYC0G8/b3jvJx/SF+442aivALR9XOjmxXzo/amt2mvX KYBuXYtUihUfojprXBa1VwDG3YqTeVG86LjsL+sXFxSA8O9syjEZGnKdXGC3 XVIARUc9tKsoNGTeIp87fFkBaIj0vDD6S0WMaLs51SQFcOzVpOBJREXFbFQY n4Hr8ypZlh1ERQOfskQ9nymAW99nb+xv4EEuKW7Non8UQHLv/JmddyiI+VRY MXBIAe/DAyb7EynoR9sL3/cjCoB1aHggNYKCvCUYPJemsJ3kbTi9l4KCY9+u WuJRBMKjsROSEhR0PtLw5jhTEcTML3/fLLwEzbO6f+9iKQJtItnrxeAiFKi8 vLJYXRFkd/66O1S3COPnehsCdBXBlHLDZqOYRZh6Im2xd60iGC7lsVkhvAjv B/F4d9grAtGlZdc6FBdgUFxxibGjIpjfWM3ZsTQPDR7sW0h2VgS165MtRHvn 4ZM/z1J3eWB7zLLHroXzsMIz4H3dIUUQ5BbVs5Wch61OHw1exSgCFlinSTs2 B5NPRobLxyuCkKZfUo375uCe1OV1JxMVAf2/fuHOLXOw62P0AeNUXF+6hXSZ 1Bzs22ma8jBXERhPo76r5bOQa54/k1WpCAYOt/CdlJiFEa+yLtRWKYLS9n0S hfMzkLLylthgrSJg0n5qywzNQAGVRNWVDYpAUGFlU9KbGSgzE2ZV+1kRxO/m ljDOzcBVD21uDowpgva/GR6seS58rm6hLjaF69/okPRomAvX3zJ7uIKD/WN+ jB/5xoWbo9dUnV7A/d49lnEdcqHtAdagqDATDCdfs+O/xIXB0lMmK9SZoPVI xhlHJhdOxP2r3qPJBJENqU40Ohcepw7anNZhgqAPTYa/aFwYMfrNo8aQCUqF V+5ZjfVK3Pt3MXtMmSClvVDZAHKgOKhmnCaZwCmFEeFbyoHJzysybm9mArlF vd62+xx4K/dxyR9LzCffv2/ddQ4sOJPeeWoPE/g9/Te4K5gD9aeue952YoIk 919R4gc5sCQgabh6HxN0mrN3LOzjwBd7L1JEPZmg6H0bLdCaA9+uOKx9Oxjb eeS2RulwoHWB/5PqUNzfBp3rVaoc2KTsbfrnGBOEqAjZGihwYLuIs61ROBOU vZgpvC7Cgb2/N4dVRzNBVLx1+k2sHzZnNd/RjWMCk9aRR/WDbJjt5NKUfAXb u8RKV2K94d4QquZ1nQls3vynfa+DDV9HLdg0pDFBBqHk/7SVDZmbLp9clcEE EW2169j1bNhVkt1Iy2WCnnbaShXEhusC9DmBd5mgICnIgO8VG6apl6m232eC mK0XvVWfs6FjasuJvBImCBN4uny+iA2f7dqXI1qK83suv/WyAOsxoT8Nx15g fqQ2WZyH9VX4ImtrJROMlWWor8tkwxWrY7c/rGKCeRfVL8032TDpn/QJ6TdM MLVLde2tVDYcvZeTfaYOx0uKG6RfY8OdB5Y3/G5gAkGhkeK2JDZ8qFA+vaOF CWotqzWXX2FD0XZz1vMPTECxMFUti2PDwIRWa+UOJnBlBeIXGhvWb3M9fukL 7qdgLCA4mg11KANZ/7qZIK+Zp/TmRTaMKT9a79jDBMaDPr6zF9jwz5Glqcpe JjBfCr+QdJ4Nt+nHqWj9YYIK4RUCrv+xYf5vGevEIXxf1ghPuEayIW/WnWOc ESaQkmaZXzuH9aWTQdb+cVxvp8ri4lk2rJZ8+f7dFMant6tmY6zasHXKkMsE zKFTj05gHBnVppw2xwQahrKF5zH+sdHNirKE7+slDdlajDdxBo76UZWAxlkT znrMn1ly7HYrnxJgCZ7b9QfjeX/KexMhJVAaW67xHtezTz1+MltUCQwPboro wfW+7JZVFqIrgZT4uX3LcX/yqbmWoYQS6NkXWv8oig3Ddhke/SKjBNJev2j2 vcSGnwVfZZopKAGPy+Ehe2LYcE31trr7Sjieu/giLJYNr4d/mJBUVQIlSfLF bfFYXxu7K53WUALZgiauHolYL987fsRaTwlw85hCKtfZUPIAT+YTAyWQMZGn tCsN62GFhHcKK5VAjOwz6WfpbGiQkMf8a6IEImLtf6nlsmHCNiOL3aZKwLTc vE33HhsOL70KfUUqgYqZ6E6/QjZ8cOTj27htSgDVqAZGl7KhkP7+8UkrzH/8 pLRfORv6/R5SdN2hBOY/Kcqcq2RDTSdqqL6DEug+nOpui/X+nY0rFJsO4P6d 2ELnf+Lz2Sl8Yc4b9zt9h373Dxv+2t87pOOH+a42zM6MsKH6+esvLwXjfo9f hSvm2DDv7YwzCMd8Fl6ivbIcWPv5Q1XwWRz/OnB5jAoH9g0U6mT+pwSiMmvr 3LQ4UEPEfWYmWglod+RU3VrLgfm7qtOepuD5JOrJu7vg94NHOuXXDSVgSZnz uezFgf2hx/zo6ZhPNfRiN9bzmimaJodylIBT0pZnlEgOvNsZ+1mzWAkIEovy GQX4/XRgt8ytd0qgKHvW0xS//+qO6J+tq1cCTCeB+WMSXDhwga+f3aQEWoMY X3oUuVD77otnu9vxfKkrpu1Xc+H9IcU9Yj+xP5LsywvgwgdH+65FziqByEOf jdV+cGF91Ou54gU8z7BNbjn/uHDoeqrXN4oyGBD7Y+W4yIV6ZZar1gsoA2Tt ruipPAOL5os+TBLKYKrvpzv/gRn48OJxSd/lyqBzo+XOgrEZOGzqdv6ikTJ+ /+xtMaHN4vep+WTuKmXAK3K4eEl6Fj7wlPrUs04ZtL84sHaF6SwsIJ+muWxT BjHGS/bacbMwb2ZMZed+ZXCMZqB9ZRX+PCvpTAryxPl8nyXftJqD6n6IJ+6g MqiL2WX4ff8cvNOR2PsuUBloUAjaYvwczHpqcM8sTBkU/C7fMDI4B28dCjJY fVUZOL36oPiheB52aThk7U5RBrbML6vC6+ahfPcG+pEbyoDSbprl8WseplmL TBRnKgOp2sH1P2UW4HWtB8+0H+B6PiqIwvMLMOnnH1NmjTKIv+D9Sc5nEUbv 8dpOm1YGpbkad7cbUNCdXd2uB7m4Xli97TygoAqrPcHv5pTBlbSinh/2FDSx 0eJqHFUFRB6l+tHDKMhVU+8zQVcBGRo9/1nVUtBKzoSnhp4K4P15yNjImwd9 Tzt/eusBFdCZ03dTrYaKZpLn4u55q4D5bbzDh7qoSCrhWKaQnwrQJ4Ynfo5T kdV/PqgpWAWE5KWIm6vSUKm/Nb9jhAqoaHxXP/ofDcWuZyT73FABBXqZ9V+t edHq7pz70U0qIEh4WWvILB+iG/hxH7WqgPZM/ZhmKX40fM7AovOjCnA4WMq1 MeRHeeqv+rS7VIDonv0Ohd78SCqwXaW+XwWEfVP6ONDKj2YjaNv5KSyAMl6q rXskgL6IrKmylGeBMJXvm15ECaE0nfSHTdtZIOqkq2GGvxiamtyWf2EHC8iF 9r6lxIuhXZUTGet2sUDrtpyKg8ViiH+3dXy+PY4P67HSnxRDxyNmAs44s0Dn 4b9pcRHiyL5lr/ZyXxaYWrivXpYggYpv0li9fizQHfgmVaREAgl5P5K9GcAC gvk1j60+SCDE5RfgC2YBSsvgLVKEjgzVnv/uPsYC81la0y076Uj0uFRu/HkW GFB/pnHjAx35kejW5igWCKK/HH/4C+sLoaBk7kUWELX80F44QUenb9f8532Z BeI1NYSdGZJo8N0RD9MkFqB32Aq420qitwptSsOZLKBxwNRj1VtJpPY7QvpO FguUWX/auLVdEp15pC3mlIP7fWioavBLEhmbR87X5LHAsfnDMHJBEt05ZPg1 vZAFGmW6I0RWMtA5lJC2vRzHiw8vr73KQEPfUMrMSxYYVgnbmZzBQI5zk0n3 KnB9J8u1te8xkP4al8s0xAKROfKNd18xUGeh5ulXb/E8U3/NtP1koC3vnU/4 17GA0/XHcmiIgYr744/I1uPzWzfoc2iSgS6qTgYcbWIBlhjXQYKXQCtvwH16 7Xg+T9QGTqoRKLN0Yu+XTzjfc4fvTjoEEvywzCH6MwvUUQ8fHzEk0A/ReJve LhaIMPtJWW5KIGtdaHm1mwWSHBTLP5kR6LnFhDn5Hc/rptmt5Vjvxp932pj+ E5/nx5Gz/bYE4mTFrbPqZQEpITX3rXsI5Pm6cjWnjwVSRHuUdjkTqLlrfEV+ PwvYnj5SSnUj0DquhsHuARbwPoEU93tg/S7tpMszxAIlFcF2Xl4Eoq+K03z0 lwUKmih7xbG+D7etVHMbwf2snl2xH+v//kPjyiKjmH946a9DANbvcRqK5WMs YPR2JvlfIIEqCvbK+k6wQAZn1br//35B+20sIT3FAmN3I6eFggl0rfe1RM00 Po+Lzr2XMV6kjIuEcvB8jvKoP/j//wMqawiqzOD5Kt394o/xpw17eZtmcX8P /ltRh/mAcywlfJ4FPGznnWuDCFR44vW89iKez3RTtBvOL5Myxu1YwvN7pjKd 7E+g84/Vp6N4VEHdwYc/vXwJNNLsOL6Spgp45/qTW7wJ5DR8eaSHVxWY90g6 fDpAoFqh14NX+FWBn1HAiWPuBDLUGvttKqgKWtu22BW5EOiWufqvISFVQA/R 2xzhSCA+T8fvaSKqIG2XwMNeOwKFnLvctU1MFcRw1s7/tCFQd0ZFx5S4Khgo Kss+gc/P4uXohzt0zFdBMnLw+T75rNZiy8D5Et1bPDYQSHl6T8MigeP/y3F7 ZkygKcOKGhdZVcB199dS1CTQ/h2jUFBeFYyNCCbrKROoPkCt4rmCKkAVpH6L NIGy82NKGcrYP3NbdjONQCI1r0qQiirI1v35W2eWgU70/CsKVlUFFN3elbJj DLRDcU9+vQbOtyuUca+LgdL6DNA+TVzvp/y19FYG6nso+HVYC9sPIQX5NwwU ASroEno4/mFYl1AxAxUdVI/YvQLPo+PCP59wBuIaLKT2rVQFlhfmopoOMZA5 t+PxcWNVANzNZ57uZ6CvsbF/bqzF/ao8s9m+mYGES8btuzdi7NR//Q8VP5+n Gg4dIvE858KrmBP4+d6cH7MIcD+PCO54jyRa98mpkmWO++2xCjr7WhL5zUKd g9aqIDJ3qsngiCR6Z36F8s8R29+KSMXU0xFD3E/xnBO2j+xtFC6lI/fPZmvo Lpi/CMWuy6Qjtv904Eo3bL9heDQrmI40E10/n/DC+RTUbjwUo6OoL7rFS4dV QUhpV8FEuDgyC363T/KyKuhJ3cql/xZGs52D22pjVYGHJ096ca4wKt0iuvJk PPYvSNLh8xRGmvJ2gt8SsV3f0H7qmxASre0qLUjF53eCm3X+oyDqlP8nBvKw /Yf5iMYbfpQcRZ+ZyMf8ZppSwxf40fbRlX3591RBydWDve2b+VFl7cmXIoV4 /lNnk9Sr+FDeYR7fz4/xfCsdZfcjXhTyRgoFQ3weirkyD5upSNdo7f8qtvJw KLs3jCzRDGMmQtZ5JUqFZOc7VJJKtMiS0rQpKiTCFMnSZksL4qsv1HxIklKo c6j01RSKJFHSL0tJyTBjG7/Hn/d1n+d+nvOc573e+1zvTJFeDcxbyyZO4Hkp 8jXb+1Jz7XQ9u5JueUoRz+C/g2zqYD64nvSWTkliN9dQXfY18K2eBrsmJMhI gqv0w3qoJ9N55094/97+HfQrsBH4If7hhSkShF1359mbJqin3kvvE1uCzAyx Dc1tA71IYcGpIjGu/ejn594O8QlHxpetFuNo51iXGZ+Ad5zcXtQ7iQfmPtPe 9wXqz0/4NnfRJG6uc+Ob98L53VO9s/b1OE4xDbnf0wfnk+E/dDhqHK/Kyfgn +wfwEVs4VUbjuDKkNULiF+DcCJ/mlDF8VZOj/2oY1h/fM2912Ci2WbpwMUcI /HWNg3WWo7h5tcBSJAJsc92TMwn3a/9HjiljkF/9gov+MxGeGZG4Rn8CsOSi U6xUEb6evH5z5STo5a5baukrwnb5atvdp4BfHIkuGYlwS+WXgG4JNpLoa5zd NiXEwW8KQ7lSgIWjMRXtQqzQe5jLlGYj0lIi6K4S4nyxXSJPho3QhXf2+3OF 2EFFNs1Bjo1ind0ETieEuHVhQ1bzTOBj5WJC9wpxqFNm3n4F0JNWZY2tF2Ka 945bEjTgKxruttmAHz60oOISHeJf9ZmpGAoxShwixkqANbNNCsGft+VUv6xl AC6smpstL8RhdxOavZiAXUZMv02OYMWXbp8GWKDv1RdzVjCCeZ1zeuNVoN4r 3l/Ogf93EnYOasyB9Socyb7eEdxOLxwvVQPce9PnavcIDtc/LLNKA+qxTre8 DVjZ1k6pYy7oTRwvmwP382IPGfXDWqBXIX//Peg5B9Sz5XWAN3Sc/An5Oo9f Nr6qC3zVAMtbPIKjLvpbLGODXn+b5xwFIZ5dbIT4FOTzVhEYqAlxSe2f1Tvm QXzZXz8SYL8uH6o2Cg2AX/+RbmYrxF2/4v2SDSH+TNaUobsQc2Xd9lILAN8v sQiAfqpqzQl5uBAwmT/RD/eJ0qWdUesXQXyAU1B5jhC7uv4b/20x1CP3X3hV Jdxn/ENTok0g35f9n8VtQnw8wjZT2Qzwn3kO0ZNCXJb/ush+GcRvPrebsVqE 11ZdutdkAfFP1ZP0QkW4+812vM8K8hlv8tiaK8IaU4NvL9oCPtL/xH5MhE96 q479dIT1fn8OLXk9irWDP8+IXw76mlFrFeXG8INEHl1jJeD64RO/ncZw/10b PWcXyHf/ex+PjOFNittd/nYDvvzQ0lVN43hA33CDuTvoEfPAq5oT+JTtoO9L D1ifqbeIv3cCVwecPDSyCbBRd33cjEms/+TmJTdfNrp2WL7jznoxrjcW5bdv hfr+leUvLBDjo5dc7u7fBvrUST3TCTHm7+trSNzBRp0HrANqSqZwKGOhPN7L Rml34maVX5Qg2K8kekkYYPPOKT1nKeIjKvdnJLNRaYXfZjeBDJHmyBz6OwXi D5Yo6ZvKkhL+5mPGaWxkkpS+QeWgLJG8OpLlkgH5BgeWW/TKEt5Kq6bYLDZq 7Jcv7G6XI8Pnq1YOFrCR+6rKNfwn8iRtUe2Ct49hP9rhwlMBdMKz8pWPI6D3 6SDnQj6d4OWCHtNaNvLPfXlbq5NOBrwNCtKfwXrXf2ZmbVYkaxLP6Hi8YiPG mvRzNdZKhJNOiSXqoR96fjm+IUokKqe6vbQB9ObhfT48JcIrG8hiNEF99lui TRUYRPbzhtmNH6b50Dy9UAbR+v7jT8xHNgqOe7rU5iyDmA/Hv1nSwUZW8jc+ CfIYZOesipTUTlhvdl9jTTODEMu58ut7gPfDql4myqTVqbxH3MtGPD1b2jZn ZfJr3bq6ku9Q3wu/ixO+ykR7V8xJxQE28qqUSZtKUCbRaV8nXwuAVzHXlXmn TM5f4bYfG4Hzp5/YWNGjTApvqFQtErFR7xfmg/FR0K9edTR5HPqRrvHKSotJ fj/v9LSfhPPIEISZLGYSuabIZT/FcH5xxY4PHJjEoq/oz1opChme4leGbwO/ IFjxZmIGhWKHNB8Xw/t911TH7WIZCpnofj8fwmWSDBXGAZo8hSSuHft4IxP0 HcN6+EoU0nV/H13NZ5KZ6+h10coU+i/1tNvu90yi43UjfyGLQr16fE5OF5O4 HWzdcVaVQi5F6xrvCZlkd2QIslWj0NHgz3GZkizCjVfQ+aFOodJUbyOFWeD/ su3aXbUo1HnLKfiKJovUFryrHNOGeJmEiip9FmkrPZhVqEuha+nyKMiYRQar 5I76sCkUXO0Ydmsp+PHn1zwV9CnE4KY8j7FhEd231ssq50F9/mr3vyIWsex4 y9o/H3h08+kHZxbZMyT95sUCClktmBtzHPzetsIV9VuNoZ70o8e+gP/23BHP /7WIQk+7Prd3g/92U3v6X9wS0EvKN0qd/j9hw4w6FVPIb/JjuA38t0Pi8ic8 M+hv79kPL8F/W9ifJLbmsF+1YZr3nunvU7WP6pdBPleUcxb8t0GRVNUOSwrl 51WJ94D/1uY4PRBYUUhto0brj2n/qx53L8mGQr/bjBo0wC8rNtaUadhRqL8S JwsAyyZJlt6yp9ADjZskctp/2zveQn9RqDE8Zc7098MRQWxhE6KQvsfwiml/ PlBEbu5xAr5bXTwb8DeORMHocuD7u8fcQK9dHV0/t5JCXu5fhi3Bjzc3xlzV WUUhdwXV4kao71USzilzgf79kutQBz/+1GEqa6Urhewu5LrOnv794LDD5dY1 cD4OSg8J+PHy4uMXAtdRqPVT84AOh0WKdz5OF7tRSKB5odxsO9xXNMQp6e6g H6b4btSXRXLe2J/T3wD98lfSCvdikQunjp2u2AjxOT6+vE1wX/rrUaLrZgpN RGT7p8N9KX5k4mSHJ/Tb1m3KFPw595bdiWAvCpnzHsw6C/48bBf3+AwfiE+u 9811YpFdb8ePGvlRyH9Hl8GgJYtsPW0bXr0N6nnI22xuxiKbUPTh9f6w3vr0 EnOYrxUlYweO7KQQT5jpe0CHRex22wTO3A3PR3VYEE+NRcw1owKu7KFQ2JHr BXnKLKJ/ZpRTs49CmZkdGp+kWETT0dp/UyCFuPy92jrjTDJbdNSvJ4hCxqu1 PlBw35TeI9pCDwb9Gj6NC8/LV0fhWu9wCokMbZ7EPmaSNpGFa38E4NznDaJy Jnl7O3xVTCTgKe0W2yImqdUacSzgwvPxv+Eog8tMcn1UYDEYRyFp/+2fbwYx CefOH93TqRQ6d2OrsZESkwTFbZxwTYf6FZHEGkkmObKx/D0tg0K7eJZm9kPK 5NTwkZS0SzBvZEvN5RZlUmI9On45l0LVJZJSbVeUyWjNVMuNIgrFU7YuAbrK JO0tLfnpc9Dnxt2OVGGQ7LwDAYkvKJQWnG61QJpB8sLql7vwKVTc9wRlf1Mi 91XTxvj1sF9bhYq2q0qk3YcV0PQO5v3fAPutLCUy/6v68q6vwHsY+FQJ6cSk PEo7/xuFXr3vS9FvphObhI+ju3tg/XydR2dK6WTt/NzSvu/QDwmP/Rv30Ulo oK724CDMb+SL6rE2GuHanRgtG4J5lHuZEVxBIwn0ruawYXhefy8t+5lBI5m3 886KRDAvBakZUuto5Hqs9N7KMdifnFlZjhGNFHnsduJOUGi2qKjBSZZGytl1 Wg5iCm0VH1Mc6ZpFHg8ZjE5NQX+8is5V4Fnk/1G0+F0= "]]}, "Charting`Private`Tag#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwc3Hk4lF0bAPCx74xJkoSkSLJEUso5lWypJCQhpCwhhCTJTkLIViGhCAlJ 5ZUhRLbsW5Ls+27sfPd8f73X75qZ5znLfe5znzzPu8f8js5NWgKBwMhKIFD/ m+Bpzihr8UR5pSVBScGHQi5vFta6ImyNmFfSTl8Cb/0o9hUWvo9+FtmK3AYn lIQKMQg/RjQ9fvdegiWnLcK2LJ+ifY2Zc7ngP5yJm+vtkciA5YhOJdj2pIvd ktBzJNLytXoK/LGlN3XhTDw6/4JmjOBLIa/e1uqetXyFeOxUVrnBSTTdj5fO vkY5ab8294BV6iL2UdqTUX0qYU0GPBKnVrpgnYpO9KvMKYNDLDaM5tfeoHYx /pFzYBmZj8uzoWnoykvO3ivg5jWrqBmhdyhqsOSPOdi1UlBmOjcDNan0DtiC +Z+11EyeyUJvX0uuuICLTYItJ1rfo2+vXAU9weYSmG7c8gOqzHhl4A+mXXP/ teCRgwiEF5lPwC29ersXzuaiw/lWuyLAb3/I3J7nzENcBUJZ0WC3LLavc+15 qKW23+w5WDNyiHEu6SNyejaG48ECbqW6s9b5qPCO+/lE8JRxfPLM4U9IPGDs yStwyZl7M9Nrn9Cjd8mEJHDkAR3l6fIC1K66K4f6uQXXoZCp0M/o7fk/idTf KywydU3qf0FsPD6N1Osz/e4TmxT6iv4ofNR6Ae4o+eYyMfIVMblKbI8FZ7yN KxvPLUQZIbnSz8AeIXe5x93/Q8cYRF6HgS84Xbg+dqYIGbPctH8MFjY48H6U /RtqOnQ33hc8d5J+baT1G1o4pivzEBzDUhgzbElG3nnLCfbg/HuaTnf5SpCo 03afW+D4saM75z1KkI3M515jsH0DyXLubCmaT2kToc7flTMETqeMUuSvIcB9 CowLJvNnOb+jPH7XpwpgUnwV7Wz7d3TH11tHGLzGWfDO4UQZorttkswDHvBO 0Z5JKkNWKm/imMEFlp6J09bl6HY8fjoN8WcoJ398aq0CKXV6qhaCX1e/chwX +ok+DvYyqIMX4j5J/A35iZiX6E4pglUta/qbVn4iDrWvPuLgCbolvcLmaiT+ 6osiC1jx5IXjjwNrUZDEF9Vabwr5CZvFvMdCLXrmwxb2DdzTeT/LwawOEZb0 dn4A+7m+ETRQqkePKld3PgM3fFinFZv+hVQ9vzy7DiYhFhMOqQaUZStfcxms tD/qeKBFAzLPtvZWB1twCO2gedmA6rv0v50Ehy28m3dvbEBXzHv95cBffss3 LDA1Ip/Q+n8HwP++k7PslRuR052admEwa4bm4xHnRtRTbWrPB5aPaL1pntmI 4kYXM4lgEzfT093/GpHDrboYFnDg9XFBfb4mJDtKe4QOnKPquvbrQhP63BIU suFFIXcdounQ8G9C14b2pSyD6baH5Jf914Q0K508F8CS67wRJ+eaUH9Y+95Z sH7/a7vP4s1IU+Fx3BT4UbWkpuz1ZvR6PeDfBDg99/P+zOhmJF4US0d1U9xp un21zShNWu3/XntU9zeRtgUtivUPUC1qaVDEd6wFGee6ZVGvd+FCf1zknRbE caDRmHq/e0fsXdjftqCgU3fWqe1JEli5FNDdghIpT56sgKvp/KQI21qRpcM2 zi3wwhgnm7tGK/rQ8jqAAfq7u+n58PyjVsTB5LXEDlb9KlpuV9CKlK4kmW8H OyR9SBqeaEWXdr/8KQh+EXj8odneNhR7JvMQdfzL7Cuu/r7ahgjFGU/lwbwn f5N+/WhDoksDFy6AseitafWNNvSGUpdpBLZmm635LteOVOTXGGzBRZ2M/gVJ 7YixJCkrFDxUEmEm096OFirFF1+BudIFlDM4OhBRnV3uI9jc9fBSgnsHCkHO 3t3gEONvzTtyO9CAytDjOfAnFfWciOEOpLnif48avz0Hm0PYBDuRPe5W2QNm 3mZi7a/bibQvt48fAx9eHTm7FdyJtm1V3LwMvvbvrsj90k7U4UlveBrsV7W5 ObfUiUzFLBypv8/+8Pi3rVQXWhOMvE8Aj5HGQjTNupD/4KW8f3B/MVdNZfGo LvQg7/Hqd3DSCbbX/StdiJZZZ9YfHPkz5JZhxW90i3+OhgtcLzm5Q3H5N8qr CEdzMD9s4ed/bj/YjawGtm+0gv30OSUbw7vReson6Vdg1/6ns2pGf9Dm3qXF Y+A81ZnkfU//IKma7E8i4Ol32rp03/+g/Z8fmLODrRy4PxeL9aCOHqnPfY8o 5NRmR6t4wx60u/Gh2y/wP4Wmne6hPegAZ8bVb2DDjUiPI/M9yMWkJDMeHGM6 f2jb/r9oU4pFPgzcXHb574zBXySS3cfqDSaK5YfXP/mLOEVklVzAWsE8p7OK /yJ7ac9fNuCgSef5x7N/0YOH841mYPN0myY5Ui8KPa2nZQgmdPFnJh/sRb2f 19V0wa/Yany5z/YiLtemuotg5ZMPjLxMetHFL+pDWuBu+4NHpu/B9wP0np8D uyf95jCJ6EXGVbZTVPM1PRmqzehFl465T5wHF9CdICuV9yIDzd/PL4F1j0zE ZvzpRU79Buv64Llb8Q47l3qREceenSbgiDgtjSDiP/T3UcnCLbBM9fqepQP/ EMN2gWeO4Pq1rNWbZ/4hL2GbpYdg20PGzS1G/1BH5kHREDDrdY6sM67/UHv0 vl3U8UsP/+aX9/Qfyoi++uc9WPW7nfGed/+Q3J4tm1LwwPxuhfDv/5CwgkdZ G9h3Xz3n1u9/SIrBZHASLHLFc9hu8R+ae3SpnhHmsyRIqqSbsw/1Ve56sAe8 Ph7mWHiqD4WuPOM0Ar/YjTQPXOtDMxe3Rh+AFS9Oi8Q59yGLS1lOCWCXvIst Lml96PlMi/UgmGdgK2ugpA+FP4ooZ4N4zNue43+5qw8pxBPeUPOttpqpyff5 PtRtZbBJXb9TbsSjshz9yLAo6nsgdf1llHAl7e9HBgft+6jrU6LbYYQT96Pc S9/S48BVHHtKH17tRwVEYSUFsCVqfD7h1I9ktY00muH+hGRK4e8n/ShPX3XU ERxHL9BdndqPCKcCzhHBVT9vCb5r60eFrS4d1PkX111Pvnl8AAnudHhR9RDG o2BPue7lAaQYKdFsBTbYqTZ4xnYA1X63qmcBB/VEiIkkDqA/ml1BFzygvrIS y+qhGUR3pFzMhtwpZK8arbo6/kEkUfqTLhzMJ+U0VSQ3iLj3+V1RAqvPF8m8 vDmItK1uesfep5B79fouBXsOom/tO0PVwW5fmO7ejx1EkwePf1pzo5DfPdT5 dOXnIBKq5Sm2Ap/uvdem2jeI0vo960XAXacTlo6sDaKPhxIN/96DeGEeOcZz aAgpi+cqmYKTbTiu0akOoenTpK+i4ON1hz3mTIZQZ+s47YQrhWwT+bC4IXwI VScrnPIF0y4m/yW/G0Knp67qXQa/uFJF+PB9CJ1cwi77wYcLJ/ck/h5Csg/S 3q+7wH4gsO1M6MIQCtabZ2kDmz9StPDgGEbx7mJReeDVf8b+t/cPoz0/2nQj wZEqvm8N0TCSTuS97AI+mJZeqWEwjEatHaOugctZ6kcUHYeR0+8OgbNgI9t5 FvHgYZTOHjclC16o5zu4I2UY7b5zllUEHCKrrMVYNIxkwvLtt4NFo27YLbYM I5QyzMcOLqIEhQ1MDqP6NQI9I1j3avaHZsYRxCIrf4AOPPFfc8N3oRGkKfP5 EdV+giuzuYojKJ/n4zr1+wLegtteXxpBBxrln3GA8/vPyIfbjCDvjN3yO8Ba qtZ6j3xH0BnvbfV7wQPpYa728SNIa9zhvBzYgy0/1vjTCIoXOBJP7Q+PfecX rfoR5JI4/9oQ/L5hs1NpeAQ9aC074wRWlRNdkyCMoi09GYsQcE+0hgD/zlGU x7C/Px3sumx/kuXwKNJm60+oBHNeizJZ1oTvBw/aj4Dffvv6aPjGKOqW7jrE BvOlLPw3qc1jFPl5B3+QBrf50H+viB5F1xlrKvTA9oMH+vOzR1F+dtbWlDPE o0knc+nPUXSnKzRlx10K+XJHkFTdwCjad2ifyQlHWP81w/cH+ceQs3OmkYcd 1C+5b4i8gWPI/lTCs6GbsN489ijfuz6OQnaymg3pQzxSGm74uo+j4OdtHdv1 KOSHd7weP40eRwEflvI1L0O8mP9tSasBLxWN/7gI9Y96wu2OoxNo3UPabKcG hZxYqhUxoDOBhjLi2f3UKGRupfWCGbsJlCPAnbZ8lkKmHLpGy5I6gcaG77fR nKGQS7ftfH6MOIkIYx9Wkk9CvRZaVXz24CSKfOtMY3sCxofRbeCS6iSST1wT PqNEIe/0EmM1MZtEA1fkmsWPQzyttEnbeEwiK1+98N3HKORNpwA919hJFP+k rG6PIoXsOHHkgU/eJGpq6ts4chTm++ZgUljdJBKOWX5qqAD12t+oHy9GJhGP B8PM0yOQbwxUJt7STaGk2qSANnmoT5vmuT8KTqEB3eYvUuDscylHycemkCFl djhODs4LFTrGNbpTCPffc9wOjlSm9W2/M4W+B/Zmpx6mkBm+5Kb3B08hPhHv RVWwm6xZ/fSbKZTPbB6zLgv1QwZxYa1kCnkk7eipABuJluxk7p5CY3QveVLA vxLuIJ6lKaRrKPIwCnx6h9BNYdI0Eulb1nsBht03WPLQNJrK0u/IB4uxeuYo qk+jYi5FxQHwC99DbSo3phGhUj5VHO7PvtG9pu0Jn//SP+sDfuQassf4+TSS oMwoz4LnppXUrPOnkc0ul2wX6I+F9bity69plCermckF/W/vexHpPTaN/GZf q5LB+6T2df+gnUHBu1uXnGH8esbWp7SIMyhO8OhnAoxvXFoLTfPuGSTV8+V1 PPiSRRbP1YMzSIZ5mKwO88G6x0/sr+IM4mxe2MEA81V1IkLa8+wMUmci+JeB AwwSj+7WmUG2VY/4wmF+acO/qF27DZ//YMu+DPFQkllxcfXeDAp61J6uCfHi Wdl05bnfDCohBvx3EeJpdXPCsj1hBr31YKb3Q3B+4F+945oxg1rMHEU+Ylif Ckxu2z/PIK/09gMzp6D/dnuCLjdAe5Vs3j9ToZDHu/XSf9HOIltfvj2emnCe XDbPseeaRRPd2dL8WlBf8Th84RCYRVGdnaZl5yG+zgVXnTsyiw6zU16euAT1 SmHxSKXlLOoqTmL4YQDz0VYzc8t5FrU0Rf78YQj71VzHMoP3LFIRatdpNoLz 9oF5ZpUXs6jhoUo7pxmFXBsndqCkdhYdXzekZ7GhkIPz5WWvd84i9h0KZma2 sD81nDq2OTiLcLWFb5k95GMmI40TW7MofpfYYArkgyLXcOsvsnPoxelskVrY D9/rrrzLiZlDwdvID6yfQf3iwJh3MWUOlfgIPJSPgf07ZFvh1Ic5JNJaK0f3 HNZf2aFqyZ9zqM37ffu7RFjfh83H0tfmUFft8SmODIjXC3fm1JjnUUzql5SR LAqZ38ZjdYhnHolqpUx8/wD14+sY1n1S88jKSmLy7ic4zxFrJF6bziOLlLrb i2QK+evR3Z8u2M+jrstLp958h/EzuYPWH8wjvvzRyjMVsP7eb9O9EjuPkle4 2zWqKeRbLTd76N/Mo7c82aMfamG9rX22ysubR0QtTTLNL9jfNYwectTPoxPH yJy3miF/O2Yz/fd7HmVv/6R2r5VCRnGESKvReVTgo/ndsR3aN5T6tox+Adla lp8T/g35iGNJxpG0gAYia/Wau2G/kdf4T1B4AVn84Iuz66GQz/hO/rqvtIBK pni36/+DfJyBDMU0FpCAbGlISh/Mb2PEQIv+AqJ8mito66eQK5b77X0sFpDD DVb16QEKeUZIYUXaaQFVH7HbmBiE/UotyPfPowXktvku4dcQhaxm38XxJHQB 1V9/uRwzTCE7RUvGKb5cQCemAodPj8D4F3mKDKUvIIUb+Hwz+Gd/Q9azggUk /EuJV30U9lvWvUdPlS+g4Nxcxddg4cMupVONC8hzIDe/B3zuauW5+L8LyEvt eBRhDOLfa2ebxuQCmiNqjjOCk9Numy6tLqAfH+faZ+H7dfXfxlKZFxHP6Vs+ peDlRS4XHd5FZHGUbrcreO9u862tvYuo65nxABf4gkr+4/eyi6hc/qzQU2if +21GnmtoEY1d+im4AP15E2mQyHx+ETmzHVNG4IavGeIFhosodVq43wH6v967 nnfDahGF3Tr78DGMjxjzxZPcrotoYuR5wGMYPx3p15XFvouoY1Le1xHG11N/ /pJtxCJKdsc0p/uo9dfZ7p2vFpHW8eG4tV6oL2tHZ5wLF9Hq8IE0SZi/g/NK D0SqFpE+3+lHb2B+9fnDGBpaF5Hts2w5Vpj/91aH+Q/OLiKHaJLxC4iPjqd+ qR2biyi7stKzEuKH/nObVAA7BZlrTbb2Q3wZMjw480+MgpwaO3smIf4CJOvq wo5QkGdAms+fOgo597KQwYkzFKRP64hKaiAfuDv2jWpTUFX++J7Yn3AeTS6z jTWhoJzf4so3KilkuZ/bl1RsKej4+RdyrVUUssmMpffcfQpSZV6N54brB+8o ZEsKpCDFZebR/dCeT8rsMeejKWjmAs0+ErTf/Lcuma6WgnBodGL/DOTXl//s HDspSKqYbfTbItT3hvYCf4coKGwijmS2Cu3nX6vWWqCgVfJeoZpNqA+6Au8X 0iyhapN1mVXaJXLWcx5xca4l1NAh8niCcQnqsddt0QJLSCUhMDCJdYmc2lEo 53h0CSnXtkeqcS+RteLU+npUllBbosr6UZ4l8sKVlnAtnSWUL6teMcC7RI7f YYYKry+hElXnca2dS+Sz7ZOTYnZLyFnpXMidXUvkqRj3+Gj3JeQgpjt4bvcS OUaf6Rxd0BKaURfX/Se4RFbmjVpxiF5CYTn39aWFl8hDrcLpPclLKIRrW/CR PUvksOj3+lo5S0g1viFrHqygd5yh8NsSypiPiLcWWSL38FR+FKtZQvEjoldi wYEtl82jO5bQ6sEDqx5gmaheIt3QEmIunvjOD+64bEd2mF9CePspTke4nte2 VbsewjJSmFQ38IL7izcHCGhxLiPDDOUTGkJL5IbIbTVfdy2jDlU551pov5tO 0n2xA8tIv6Cig1VgiSxMOiQerbCMXAuaTBn4l8g/G7+20aosI8Y1gT3fdiyR nSJU/R0uLaMf7yfPyW1fIvNfapbrMVlG2w+/l7EmLZFtGibCv95fRleeRC3s ZF8ik8LvI7HAZVRxaBchjnmJXHiRcSoqahmJsWns7qZfIrP9Ejrn8GEZ7ZtS 4Sxeh3ohLGvlT9Eyuqnv0H99mZq/j6Wfq15GmTu+1vyap5Cz6nQYxAaXUZXJ 6SERyAe6oX8/Rs3B778962KF9biuZWtOS1hB7W6vLKr/Usjna/3Jf/hXUPOB W5ldLXA+rP5yP0p7Bc0Vzl0N/Qb5NfisOK3JCtqSSfvs+RnqW82mtju3V1C6 5W1rk1wKeYjluv8ftxXERrIIk86kkJ/+HJc7F7CCQkKFdRZToX597Nb35dkK ShZ5OJ4H+0+vOkPE/tcr6NNum+jMV3C+Y45EUdkraHb8pMLBt3BerxKcoila Qe43pA77wn7UEZgZf+fnCvK/096akwfnPTXFc3/aVhB5bP1p7hfIPz8upX+Z XUEy0o/fi5RDfRbQo79/awXpJe58HgbrU1j1NkMU+ypy3GOYWV4P9WSFn/kd sVUUUNnwM7CDQhYcUGWkyK2iLmn/kxWQT2poWTI88Cq68JSwUQf5x21PzXm6 86tIKuLkcBLkr304dPbx1VV0SERz4QTkxyaTi9HEW6to36LgkdfjUI895D4W 67SKBnzvNtdOUcidhdFeqU9WUcyxbZr3FiC/dF4RPRi3iqoLqqcXKJAvlndW 5aauov0fbEKPrsD48HbfVsxdRU16BhXKaxRy6JFELvK3VeR81uoS6wacJ3VN P56tXkU/ZV/SvoD1PuwkcqW2bRV53GsvmdyikKMiBlZ1+leR6/NXwQw0S+RT OW8TO6dXkcN/Fc7/wFP1VqdN11fRwj6BDG/IDy8nJYaGmNeQYJ/I7SGwOvvk Y7vta4j+QR4HkW6JvCjx4dDCnjX0m5KyvgmfJ2s4NrpLraEHRNfPH8EXreRc aJTWUHXFdKMUeD1gkS9IbQ3tVC+Zd4D7vXvzuYhTdw05GQp0uBOWyPrl902j TdfQF/mr589De+n6legF7NZQ+7yf/Cj0L4dmMy35/hraeLfudRHi3Vi45NyB gDUkI0RQ9IZ8x4p8pj9ErqEx7TMOjyD+PxurPFN4tYYYvz+8dA7Gk/tlVdeZ L2vIjG874dIshVz8NdizunwNJRD/2oXCfNzu0BK51LiG1CuCy+Nhviq2N1qb jK2hkFNXSMdhfTjBsXOQsoam7W4J1UB9IHRZL/c23ToS51PAR2D/uR/euewm sI5sfVTdXrZRyPs/vIzfEl9Hq0d3sr1sopCb64xxwJF15Lb7R5o7xNshtr7A ZxfWkV+Qvf0/qIf++Y/xZnuto4Jod33fj1BPpWYVyoeuoy/CF7i+ZkO9VGZv 8t/zdRTk8uZ5zzuoh/7J0J5+u442De2JFFhP0YT5N1V568jVVz2KJgnOE0Kf NC6S11HhqUVNupcU8vTJe5OtNetI/vMPk41oCjne6FiEUcc6ehZ91zfhBYWs 8WBNvn9gHW3ceha1BeuP8vxbh/XsOhJJ2ems84ZCTvnyyGNmYx2NfYysegb1 4cYiXfkG7wYy//0qpiMf9kMH9st8GhvI9lPRJUnY32pfbLv/Xn8Dpfh63eGB /XKonP/VaYsN1Deic6q5EerJnQfGbR9toDuNW8w1XXA+PCPDTRu6gdJHyTJb MJ4X7Y4ejX2xgXSPfXEkQD3gV3rWt/TTBrrZw+VhBvkrcVzrnX7ZBjJ44s33 bRLq/+26v8YbNpBSSILLH9gfm9C1Ra+eDSRxMji/BPLfpLX5Lt6JDfTWooHj JsQDc5T1qcyVDXR570pjFcSLSLGDJWbaRMlCB2zGIJ5OjNwLbeXZRJ09Xwyq IN70SY8+2ohsogXR6mNmsL4cTgR0bklvIl6trrKPEK/Bt0K3ok5uomWXS1XF EM+p4VH7JM5tInUPTnlviHdy4ctzZINNNBc0zbUK7hpIdtS9tYlsT1zxFof1 scCZETt6dxP9U8uuZgNzHsv95um9iXwt/p1Lge+L3/jSv+3pJsoJ/e0zBdc/ HUpmeRcPv7+5zkZd30aff0grZ2yijvTg5ERon+u/Or3mz5soJkVkDx2snwi2 1gdWFZtI75GwDz/kj6wj3a83mjaRjClj7wD0/8f1/srI3k3ULNvjYg7j0/t4 bFJsahN95ox99QzGb/Xj7LZva5uoUcKkyw3Gl6dn+ZgOyxYiSc6Xk2D8pZgJ psO8W8iiaUnIHOpF9cNMAR6iW2j23/F6S1g/N4w4s7gPb6FNuc0WUVg/ngHb m96iLZTRdtToBeTXuByBZaXzW+jVgfrsn1Cf1dIfVLlltYXqy5IirlHjR+qw zZrLFnLVl7EqhXqKcPVYeLjvFvo1wBs7XEohH3mv1l2YuIXCFO9uewjnEe32 C7TaWVto7O3TihlYPzY0+uKDX7fQwPC954fSIX70LJy5WrdQdfKfdXaI/y+P br9I7dtCW2eruT9Fwnp951RybGYLve28eln2Cex/zfeH6je20A3HRz1+vlAv PsKMeQwEnCsas0UIhPzCo/Lcg52AI+OHd6WEwP7xTk1SbRsBi1gMVpyE6yk2 X9DpFiZgtFco52IChXzWSmfwrRgBmz4ieJckQ/27oefmKEXAzyK06HZD+2zF jBMZTxDwMV6h6hDY314/uD0mc4WAN85pxy5AvpApYVkONCbgH3F2w6Jwfiqh T2f4e4OAnx/6nicN+aU3dEA41IGAzfJfR9RCPenQ5CM14ErAIWwcRYadFPIW 754TSg8JWLD0Tfh/MP6CScZXRh8TcJo8+fAU1NvZA2sWOJyA3+6vyC6C+Tt5 4IVTbAwBSw6wyV2B/a3WTtFrKp6Ab3W7aBbBejTKaws9m0LASjO3oscm4HxF cX4Z/46AHYOPVPdCfn2gtO3d/AcC3i8T8ymBWr965RZoFhBwdiCNkvAcnK/K L5a/LiLghi4ePUuINwmWqcbl7wRszDO53Qn2x6/nQ/5e/EnAHtgjDUG9qx4p Mfn2FwHj8M5zv8AdbVWrG60EvDn0xFgY4tdqlyWzXjcBSy3WXzwMXrrOwJvV R8AmI03Z9OCA1JS9dKMELJ5HEYqF3/OOnpI1nCbgmLl1s1G439tDvcq5iwTc Eah0fg3ac8TJU4t5nYDzaiuaa6G95QUChtdpaXB9SASNCewnumuFlgXMNDjq S8x69jScd9FVFw4uGizRO0pfAuvjrt+Sj8V2Ghzs2egcAfsL7c/o8P92wfcF 20r2wnqJ5JBPJInQYH2Lunv34LwkotOUaS1Og/voe0+HQv7LjXH4WiIFnxcE D96E+qNB6H2LvRIN5pvbc+YGzKepxbm+ilM0GPfYMwfDfE+nj04LqNNgB/qF r/cg33Ie3s9Wo0u9/uvt7yE/J7qW84lco8Gmmn4vlspgP/rPfP99MxosKl1f wgnndy2VV6fE7GlwfNHXkneQ37uDTl70dKbBRXIsp2Th/H+77rdRqzsN9rHK +RAC+1GwPp+bbyANlkw2KaiE+OZ/WeDfFUqDB+iuFWbGwvntr+4z2SgarB3M 7mcbAetBdD4p6AUNdhvpndGC9VJlFZH9N4kGRy7LJF4No5AN3ksXKaTRYJnB mbBr4VDPzNb9DH0P3zcvLr0E64nxAeugUiENds0q5doRA/UoOX0usoQGT6xk aQ/A/fbRqxHGftDgtk+eQsnPKWSVUN9dcc00eOzqBe6JeAq5pXHPgelOGsy+ QEpyhfrzBm+JgmovtP9HQtQU7H8+r9YvLUxA/75vn0yB9akt88Xx4DwNTmz9 TdeVAuul9G6E+QoNTu7yLF+D/XfiknTu8y34vfSPDGaoVwv7xhoaGGjx6dNv lQhpUM/efTvDxE6LTWa0GfrA+vTmRESixfRXzrx6D+tdNHq3jCsfLZaRvJRh DuM5t6/z4ntBWsyZ9r6BkEH9e0jUnQFRWlzNPFcRCA5T03666yAtXmjYo7ZE /feaDrYPOrK0mDUzi/8i1NsS1pX1j4/SYmVRe+JT8PKKz1TJSbiefCbNZ/CP YGXO5TO0mPiOo/EHOGrX6iFpTVoc5ZVgUww2z/p0/pY2Lc7BX8oSwDInHe0S 9GlxwBXG3xbgzTrJ0BYjWtwUaf9lG7jWZCSL7QYt9ihmssuA9ryYTqk9bU2L 3R2Ztx0AW3ldn7h/hxbnCXyqewr9U+DexZ7rQos9b2r97IH+0ye3HRx5QIvF O2aP84KbDkeeE/KhxUH0saYKMF5JZedv6wfR4nC2fi8E42uvy/IkNIwW78/h G5eF+uTEYHlGeRQtrp1fpXDAfLC6elWvvaDFoto59C0wfx2MJ8YOv6bFTrGp Hn6vYX3HLrHYpNHiC8HWv4SgXjr11V6j4yMtZp5NneaD+OXUlLDmKqTFFu8b Ku5B/dTdNRikWkKLBUNmAssgntzWjarya2G+WGPlRSH+ctA5tYhBGG99Qy8B iF/PBkbLqnFa/MP/aeMC7B9aZt8DtmZpse7CyVDyY6jffI79sNuE/sY9fiTt D+eRH2JnNXfQYZ/FboWIB7Df6PdbeO+mw0nJ52N47lPIRcOJfl/20uEJVUvr CFdYb26GqdMH6LD9cmg6szOsFxbe8v0ydPj0qTztB45Qf75o7DdWoMPOegYz f+9QyAsSoXTRJ+hw0ZP0riPg7/+p7609TYf3X7ts9syeQg7Xoj9Dp0GHY279 S1m2o5BN/pDNj1+kw8T8uuKbYEn7Bz6OenT4rU9MTZct9d9fFZLTr9Fhmaq6 3ivgqqdzpX/N6HCTwQHSn9uwHoWz//Fa0eGR/yIdbMAWudY0F+zpMH2OAisB fPj0vj3+znQ40ixqLMEG9vPmXlzkToej9EP4VcB+o8Wv3b3pMGPlxPYJawqZ hZBAeyyIDl+I3j2UAA7jfXBjKYwO57S4hFwFkw5dLf8UTYd71DcYhcCxZ47u c46nw7cqvLSnrChkAcPtAYdT6LCi5FvTSnCSw/zQzDs6HM5BkMwA7wtsVPuQ Q4f1p4VTY8AZCR/S7T7TYUHl7M8hYKn8UBbJYjpcPe6kQ/XH6ts2Y+V0mL3E 0TgarPhPoya9hg5rmiwVp4GLlsQkLZvocD5dlmEZ+BQnY+i+Tpg/whvuEfAP 0YHJ/r/w/XmX79uhvZpK3y8kD9HhwpJTGlrg+ktJH0wnYf4Nah49AV+28iQK LdDh5BMBJ5vBHZ5Gjn9WYTza3l7ZC+NlFH286SUNPZ6KO/z6Abg3k0/OkJke Vy9yjf8G3/xOecbHRY9Z9/LSq8D420/n6UUL0ONsUbZWCZi/OYaIgst76THj 5rDwO/A9gTs7SBL0+LjUyA0pmH8vjYOdYUfpsQGLVb8WxMuzlBSjIB16HOQ8 vNzkQCHzFXp/U71KjyXO7lDygfiLb7guyGBKj53IT+4qOMF629jV621Hj+N5 /svMugv11pWoGw+C6HFLQdKRKojnE/ZO5cee0uP8Q0PSsfco5FI/7X3L0fQ4 ZmS1hvr31upc9mHnFHpcJPgmi+ROIV+oGlOTy6DHWgk/tcfAzT1V6bM59Jh5 gKJXBuunm83fxr6YHvP2bxx3ewj7o8iNGskKenz6oLTLZU8KeVDxlOR4DT1u ipKrkHoE9eFFodB3TfRYl/HOLhP4fOrmxqRlJz0+fMh0VRd+f9fj94X9vfQ4 4PN4oq4H5NPIrx8GhmB8a1bMjOF+NCUujmYL9HhhL6P/E1ivAW2Xm4TW6LGb O7NLLrSfdVJWroeGAVNo/qT8g/49pSNGxTMzYO2DrhoCYB7+qQVDLgYcEv48 1gzGI06mVm8nLwPO3kdXmOtCIe9WyyhoF2DA8cpBbdS/p+53vuWmK8GAy7cH uw3AeB46/vfyKxkGbKq8+NIaLE8wkB5TYMAnTtEnLcP4K/1oYD1ykgH3+IeE RoBPh2gMPTrDgBMtfa3lwRo630urNeD3ArxH/sH8afMpJWzXZsBf3EsnY8FX ej66meoz4KRX1qEGYJNUSd1MIwZs6OTIuhd80+aNNMWcAYczNl1ZgniwlRFk O2XNgE26ZW+2gu9SYoae3GHArBtrgt/A7kVc39tcGLD7oqt9NtjbJyhhjwcD 1s38fewdOEid5r6tDwPW5LK1eA9+yumu+zmIAQ+8e1xfCI5pmZOmfQr3p6vV awQnvLjNdj4arjfI2zoDTjUdGIp9CeN3L0d0J7Qvc7/x977XDFhH/gq/Jjhv ojXhUDoDziq48tgX/DXvwn23bPjcLPl0BbjErVK3LJ8Bj3X38nDB+FQqYxnO /xhwg92TWlNwPf1XtqulDLhAeFOuENxaLTucUsmA/epDt+2C8e8Oz/g+VceA eRbjZX3BYwLx9/26GHBfre8xK8jXs308er96GbAonWDaAHg5PVSGfxj6c2rQ 0BLml+HIo+EP8wyY/fpIsCfEA/va0vfVFQa8murlSYJ4IZU6JJ4lMOKxnn1p mWDh8+Z6v9kZ8S0ufrcJiLcTN8+WMe5nxPo8A5uvID7PHCxOvCTJiHffuBSs B/GrOavgHn+YEX9L85nloD5f8VBc9jBixBtmq7wBEP/Xz7xmf3iWEa+Pfz5y FtbHLRb+kcpzcL0DmrMMXhSyczTbK2MDRpwZw7AW7A31/TU/93QTRkyTf+/t BR+on/Zs6M1bMGJuXcd3JDgvPR52kVW+zYiTgz83/YTPw99PsT92ZMTFx574 yYNj71qONN9jxGZyJv0pcL3EY71lgp6M+D9BH27q835ZFY3u+cGMuO1Uth4X 3P/jE039rXBo7zvl15HQvsJLZbKasYz4Rpy+2C5w1Z/8kb8pjPhFNpv0CejP r5RD5RIZjDioePxXC/S3zfrtK5ccRuyYvzHqBB5YjNVn+8aIzz44m0WG8Uk+ JXf3TxkjPh3CXGcJvh5a//RDNSMO3dfnygsW6LTO8m5kxPzct97VwPh2iTL8 vNzBiG8iWbNAcJxD0uC+v4z4eDttnAZYv0iJdnmQERcttKiQwDzM7YLVE4yY mW/x2j/IX42XnZTi5xnxCRWBXwXgsFccBvarjFjnV0BoJFhrPN0Z0zDhr31s fs5g1qMqESRmJpz/Xj7BCFzl8/f9ACcTHte4XKoJDqh3ry7YzoTP6TxvUwaf 4ecdDhJgwn8kpUoVwYRbuXTX9jLh28xnb1BdnKslfEiCCZNCDyecBHtsDJ/Y kmHCZqd9zquDj2n4Xm08yoQPvmO7ZACmRAm6pigzYV42Jl87cH7v10iXs0w4 fWvPt0Cwk6TeBzUtJhyY9qz9LVjabaZm52UmPJIg864aPFH2ZGT8KhO+8tqT aR6cwSXGUGzKhIvnK38IwfhYXfu+J9ySCYs5SRVqg/elGSub2zPheYvij/7g JOWoe4weTNj8V9j6KtgkWDqqw4cJOxnvGT9OnZ+26pyMx0z47sk3gp7gWDua sQuxTDh17XkwNd51v8Yz7kmE8WHyNLoKJjEo7p1PZcIZatfepoHD4u2NYvOY cMqvs780IX78an7X/61jws4N51+9eUT9e/298dwWJsyhLWyyBd4yJzH7/WbC uS0nRq5CfBZlvxfV72PC57PuMX0Cu6+qnxIfZcJXJfL9qc+rKqoOGK9OM+Ht LnOS1OclFyMeuddSmHAhybiykvq81h/+2MQNGA9FfaG9sD4cDhR8dKBnxq3t YlfpwFIulxpOszHjC+K7X1PXy3jJxAQPiRnrCpeeVwXfMti7/6sQM3Yyei7x jPq8aWrx6Sf7mTEpa9DrJLhv+up140PMmFZNMmgM2m8cGB5Ho8SMzZ3u91Gf x+JvPvip+RQzPi1ZcZ4W3CFY2fhGHWzy4UUhjIduwQarpj4z/in0c1kOTKJ9 LiZgzIxDspl5F2H8fp2XV5m6wYzdpgUPfQVrDto8jHRkxspTo5c0waoP92ap uDFjfoYYdT7w6e3dXRRP6M8PJDwK86X8PorlnT8z/jZZ2lYEPn72vOK1EGbc cWfS6hlY4Q+DJcczZmyn/KzJFnzYpTia/JwZEwdCOTXAUhz3yh2TmLHCUjWv OFjijfT83jRmHHxTd4AFvP/kyJ629zA+sVfvTEH8iLQmaQflw/jYKX5oBQva XX10/D9mfJsn4AUZzM9Ayp4oZcaEwh1iWWDehOruxCpmfG0bm+ZLMOmIL9ul X8x4pbx+KQTMWad0nK6NGUemSIh6g9luLlh96mbGqFHt+z0w80ZWrGU/M84p +FLuAKaPvvlj5xgz/tTptdsWTDgkuFgzw4yzwgWKrcHr5W17PZeYcfqzoFiq l42e6shsMuMftzVe3AYvLKh599Gz4G2lTgV3wDMhhJwoNhbsE5j92wU8Ifq1 R5XEgolsKisPwSNFjhwrfCyYoVtwk5qvBnQlTmQKsWDjl60dz8C9E302xvtZ cFZazr3X1HrK7+VzrkMsOCAzpyoH3CGgW1Uqx4Lb2KO/loJb8tmX7h5nwV7K fUdbwLUDD3U71FhwmGJlxAa4ykPBN/gCC6a1dFPjgfEv55nOPaHHgq2YG5Ul wUUqplyvzVlw7LYzb66Dv3TzKV+2ZsF22SGT7uB850ZbBgcWfJJ39EAsOCv1 dLX1QxZ85+0PmSZw+om15V1+LHhCX7llBpza8lGsPhjaw1KymwjxlWRrq+8V wYJp6HtWpMHx9Pv8D8fB94NO6GmD4+L/fBxIZMHFScLBKuAo+Zi+mDcs2Knm v/1S4PDaC9waWSyYnZmJdyc41IIJr+WxYAvtq4YM4OB1sv37ryzY7NG9xTm4 f0CUW8L1Eha8W+D5yD+wj6RsLXclCy7ktJOnttezfHS1rI4FX0KCnWVgd6Pk A64tLHhB0KCtAOy6YGgg/huuv+vcwUywU8i2wK5/LDhmI6ctCWwvWvspZIQF q8g1tlHHw6bIb0B5mgXz0vsfCAff0j25bXaRBQfnKdU+BptPLJ5KWWfBb4M2 //MDm/hlO+jRseL5BudFL7ChgOUrJlZW7F807EzNl/r5QvVfiayYcERV4SFY R6tj/fYOVuwSL36E6gsD4QcFBVmxuHuLLfX7tQcHWoxEWXGF3Gwq9Xrn7h71 fCnBim1HLAd8wdWFwWJdMqxY+mDO/iCwOm1PA99RViwhzGEZCv6hIet+5SQr 1mx/mkRd32cj/PbGnGHFBS931r+gxktHe22LBivWVzQZSwafFj7ouk2bFXPK Dk1Tx6fE0lNIR58V28wSOz+B0YfGqnAj8AxvUgm4mCLq9MucFSf8ZEO14BPK brs4rVkxUav3Qwe40L+mXOsOK27ztJgYBCvWCdo/cWHFri81pubBR4wqSph9 WPErdjtxEsx3fgqfjVoQK1Yn+V8WAR8ev70tIIwVj2/7dEAOLOVOukX3khW/ s91RpA8Wj7vOtvmRFQv+ZitIBb/9m5d/ohDG2yDzHjU/7hNjNHlQword1+Sy 6sEiBVk5y7Ws2NSd+dIqWKBlRW9+kBUPR3z7pgf59sWu81uyE6z4T9aoph14 542kdIc5ViznmUb0B/POqa5NbkL/Ot+IfwJHHXuRKsnAhm8mXLGtA2/znjx/ m40NUyYe1QyCicSopJEdbHjvX2MyL+T7sCvDGmKCbDjvdPFZaTDHq+PzN0XZ cHXnRLUaOGQoND5Vgg2nfu5UM6U+Hy3172y/DBvucvb+5EZ9PtxFfnrPUTa8 yiI/5AVm/BYYZ3qSDR8UXSh+BPaj/33q1Rk2zNN04JcnmE5LavyPBhsm4Fg+ qn2eeUcJaLPhwzc646nPYxN+t5y8ps+G722zNqbaU0R8+LkRG17bHX+N6nXr B+Ed5mzYXedtHNXuufXHdliz4dnHL7ZTr7eyvKdf7w4bfpV2u5lqN+wSEuXC hlufTTZR20MJrDrS/ADaI9vGQ33+3fnXrr/cPmxY81zxcx/wPO+dIO0gNrzH W8TcD+xk8l32aRjcX8zCPgA882b777ooNjxyoLo4CGw/aeXH/pING/Z4X34C npQvOnTuNRtm+fNKkvq8va0HV/vjNDZcUCOsGQEeKzP3qnoP/d0/lhkFForo sAnLZ8Nzt8ZT4qjPt5tc0NP9jw0XzmeMU58/L14+JtFbxYbHyqys3lLbV/GB 5+0vNpyoIxqfSX2e+tm+rdtt4O/8u3PBkYe4W5b6wSL8dNT3ASpXA4q/jbFh pjG+W2XU8atcT/edZcP+W4hUTa33zUcecm2xYUtEc6oDrBRLFhPjZ8cPiPUN S2AHiyOkSWF2vBAipk+AeuKtbOZ6nhg7NtqVzccCJtbGNCofYcdlPevnd4EH CPYP9LXZ8UGKx5nT4BAbgV/+AexYZ+Lgwzhw6dHIr+dC2fHRv9U9KWAKPXMq dxQ77h8IMvwANn0175bwmh2bunLH/ABH21rfuJHOjuN6Xmg3Ud+HOfb3/IEP 7DhJvZS/ByzfUi3yqYgdm/xcaloEW7/GHA/K2HGY8P3/aKjnC/uCJVzNjsc3 76dzgJuVJPsYG9kxh11YOfX9IWaW5NradnZcLXjdfR1+f7Jtx+fIHna8v5/V dBrslBL62mCQHW+L/s+jD/zn5H3XgTl2fGCGdO8nmMQ2bZqxwo5PVZ43/wZW 77A450DgwFcvFbzKpb7f4aQtvM7BgXcqPpd4CR5GP1i/83Dga8rufuFgAY4T i4G7OHCDl75GADggTax62wEOXFQud/Au+D/nhPxOaQ6sfc7xsg145tS2V68U OPBx/r0bZuB9XI8f3zzJgbttgw8Zgg27N+8eVOHAqnJlozrgp++cTWY1ObDo epmCFrjcdUz98yUOLNRhvFMVvHLGVO6hAQd+qnAiBoOluNt2n7nOgW/9N5Cr BB4KHfKJvsmBdbSE8o+CE1iXhodvc+DX22fU5MG6gUznjztx4B9XMxxkwez0 fHkhbhy4nOAnK029n5f4jr+eHNj0RnToIfCDDUUPWX8OnMHdGSgJPuyu8c/3 CQc+HH1wL9VjlKuqbREc2EjqnDnVyXdtMsXjOLB7aLsa9fdXZ9yJDxI5MCHw UpsUNf7snrjUpXJg3jJ+IvX+VaMvu4QyOXCXlcuSHPX9rVtZyCmXAz8o9w2j tl+hvyi1/DMHbhlRa6f2b+p6HcuOYg5srZXSTO3/m+4/9tblHNjATN+fOj5G V6ea/6vmwGnihCnq+PG0bSpyNnLg/0p2c+mCa3S4Ek3bOfDqFMvYNbDPLyG6 j384sF7q+iML8HEtGSuGAQ4s95C1yQ48W4Xrroxx4B0nRP/do8b7d7PYdQoH dpsLPBYG5kNO6xc2OPBHxTXfF+Bf//mYvabjxFktNaFpYOVPKQdViZxYvUC2 t4y6fmTzw+N4OXGeVKE49X2M99nli2MCnFiXzV+mnxpf6YPkpwc4sbAzgwf1 fbEWUYponzQnZkw2L95BfR/wNWOwvAInNlm8+E0CvPpCTLfzNCf+16Y6oUM9 n+xQ/HpQgxPrX47aaUV9/ytKXdDzIieO3ru88RDcEWo9ImLEiW+W+wxkgsNZ 3c+7mHPizFH7vjKwWmBwXqUVJ05olbzfDN6ke7mD/w4nbkvrftUCLvDK9LB1 gfZMSV5vA9tt/Pev+AEnDnrzt6gDLOpeq8rtw4l5OqOLf4O7Kd2ZN4I48amG euu/4Gd3J4kFYZw4VXG4rB+sObPhwhzNiW+p8zWNgGntOH8bvuTEYl2uz6fA X0cF8fvXnFjJZ05wkfp+3C3pN1tpnJg2QddyHSzej1h1sjmxhz66Rw/nr7/X te+k5nPi0gzJyxzgmG7TFkohtO+63RYv+MJVx2MapZzYjiLmRX2/jLHNO/Fl JSeWirvSKQn+phNJN1XHifctV3NS31dz/pVshVvgfrJ7RVWp7ydrfayL7OLE ms+bBHTBA1Vlhwd7OfHH8F3r5uCXZ1tijw7D/J/lqnDyoT7/smjWPc+Je7cr C0WD3U6JMxescuLEjxoX3oGHzlzLfkrDhYc6J14Wg7+rl66e5uLCh3f+jp8A y5xbSBLg5cIyGRd0GXwhP54XU6MIcOH7594eFgK764Q+eyfBhfdE5FrpU99n 1i055ivLhYN39ZTeBetfmf9rpMiFl9J+q0SCDxtdlSSqcuHQM7KVTeDxm/sq XM24cEzyk1dmfpCPrAxua1tx4aztnJJB4CqbJ9wSd6B9wkmtH8Cpd2aN/3hw 4d/XNBxp/WG93f9GORPHhXlyB9TzwbUheuLcv7hwmfXrHJVAWE9Pg+rHWrmw xgV1FXdwesR/zuXdXNhCTcIjB8wbNcWf2M+FBbSfnBsG+8XsKb03xoXVH6+l CgZRyHNxupaXZuF6fTru+mDTl4EcB5e5cHF2VlEYuD6h8CP9Fhf+LHTDqBIs 2ECRnKYlYmeOXK8ysN4lIsGIkYgZLRs68sEhTQeaq1iI+GXg/OM34NUWo/vJ RCJuKzU46A9u6/xeoSdIxHNYoVMZzHGtO+77HiIuFbazlASrdC/elt5HxF8v Kn/eCc7rESexSBLxTukbv+ah/WH9YSZFx4iY9oLb2TRwhUW67IGTRFxh80Il Crw+WEofg4n4T7SKtTfYZmQh444aEacFPr5kBFabNFwS0SNiO9rrTdvBiTy+ zY8MiPipvaQXA3hBKfND9zUi5tcISlkMgPNT8JpljDkR8/Adtm0HU3L3qszf JOIsCtuen+DzneeEta2JOEbxkc1/4FWx+A4WByI2fzrd8hqsfbE8/9ZdIlb8 60gTA37rOhFe5krErPuDO4PB6wk8dsLuROww423mBb5ccULj4UMYP9qteFdw xoTFvi4vIvaZWQuzAxN4QmmO+hHx0ciSYzfB+kqf/jwLJGJVva5EY3CW+Z+v M8HQP2sesj6YNpgh5nwYEQv/vPNCG2yQe8gpI4KIvQR2yZwDZ3foXWCKJmLx ezaeqmAGgqeERRwRu0zX+5wGG4m9ZSx9ScQKXPXHEDjvQn3f7ldErLJ7JfEE mNmVUuyeTMQmaCDrONgkQfBl+xvoz93dxsfA+eWq9+TfwfiY7k1XBLNO2F+O yCJizs1r/lSbbouVnvpAxD+IbONUfz5OZjv3kYivearXU3/PaT48nFYA8+NM EVECWzzmKqcvJOKym59/U+9fmHM0yewbEed39I8qg4kd1z2KS4j4M5vXyVPg W1uBBrvKifiCjWzFGXDR/hx5t0oiJrTK2VP7S7rQQWytJuLdhRdENcDWLoRJ 2XpoT9oHjS1YbyXx4j/DGom4nEPkoRqYt1z7zXgLEZ9xGyCGwnr9Tnpt/OY3 ER9PDJKk/v8Q+I7/PEb7F9aHYo6QNuQXe7PZ7df7iLjl8isN6vvAu3JO1fON wnzmDgvSUf89+XyfcggFrl/332If9bzozLprdIWIs+/blu4EC8cfXjq7Adfv 13hM/ffAujGfD1t03Jgtey+l+D6FvD9or/Bdbm7sb1fy9o0r7D/fLWgMJblx aMAf9ToHan3Uxf9Qmhuz+vO+kQAzlV6UTzrMjWn+ye16cgf2f/JxyyFFbjy2 s5de3x7yt3KOF8sJbvzEtLe+xI5Cvvlt3wtJxI2z5MOvS4Oj/iPWOZ3lxgs2 j935bCHejgcMRatz46ambL1ntynksq9rW1/OceP5KpHnJPDc56HDW5e4cfAj +VlBGwqZ5aiRlogeN/5PMuhiljX0r6Dx5lkDbmz848E7ZfDF/KK4Jybc2FR0 vt3JCuZP7nBethk31ts0meQBe+al1TRacGP6VUGvIkuoh2V3Dy5YcuO1ynvv rcFZOZGbO25z4/U9FyIEwOXSzHxK9tzYfj+faustCvl39kNZE0dunOxTP/AM PHdoXtPbmRun3P7jZwBmfW9lkXqPGwve3H5iL1hEsudhpTv0p/Wl4MJNCvlY 5uXYsYfc2M3mt3INWFviZw6HNzfOPeP8Ph1s9U65WsaPG1vNH7wfAvYSz++/ HMiNV1X+ZLuCY9MObLgGc+OGRsurluDs/a94X4RyY3HzV94m4B9veGS+hXNj Mp+SlBG4RzRYo/cZN3a3Kb9hCl5M2TKni+XG9X/9RW+D2fe6eOx/wY0vpl10 NgSLJo9FayRw45YyhoFsCzjv7zH9YJvEjbM13h9mAl9Oaq16msKNz/BKv7px A+qzxJK11nfc+PN9zpoD5tT3bRW2r2Rx46m1rwxRZhRybnymlEAON+bcKtKl A/e+iDEzL+DGDNWSQnPXKeTlnewP/L9y42LZK0QnMNdz76j0Im780FyeZtkE 6rNY28qp73B9xadlvGB93r5e7h/ceNe343Q5xlDfRF9Zlf/JjX96NAtqg/14 6rYZ1MJ8MjzVXDKikOOfnT704Bc3jrcx/voGnE/6oprYxI13s3TEXwPXRBwy LW3lxm2SMvt2gvuIKfcHOiA+/Xd791yDfPyU7xlTNzdOcKv9kwkmcYVlSfzl xh0qtbe8wQfC6H6c74P1wbhx9joYc9z/6zAI4/3kYcpZsEHI1PKzEW58geX5 G3nwHTYL0udxcEq+gyQ4ILjzYNcUN9ZqOCF2CJzIcvHsxizEZ1zkqAL4U1C5 ifAiN07MWG7VAKdr1vAFLnPj8qWIVivwC/ampsk1blwtndsdCQ6t7wjR3YL1 5NTBXAX2Cv+r+h8tCQeYHnJmhv7d1RkiiDCS8K2Ua0d0wbd4JguDWEj4xOl7 1zPBV9vmnafZSVimoIeGE8ZTK25VSp9IwmFVAuIeYGRIM1q0jYTjjlZ3LoIP CzCn7N1BwjYid/gfwPyI9nAaB/OT8OmTFqNsMJ87krbvmN1Nwm2/Pp5KB7Oa CzRe2UPC+MHqTm1T2L/27n1SLErCtjVqFtT46EuT2XpykIS1OD5tPYF4arU+ +nVOCn7fxbPbDOKt6qDy3auHSbjoU6HKKYjH9x/ODe8/RsKr4urbRGC9JTnq vA49QcI5hXTGIrB+I+WuXltAJEyxvk2RhPXv9vnWr1JVEtYkyAmbQj65fd/u sbgmCbfMde8LgnxjouR85ul5aP8X35tfIT+dIXt/NtIl4ciQvmMK1HznHeRY doWEDXJFSd6QD8XPPD0ocY2ELzDJZTY7Qn5miBkMNyHhHgn5mEN3Yf+pjH+1 ZEbChXY2xmHOFDLN45SrJjdJWKWT6LdIfR9YM2NbhRUJTw16rseCh9hz6w7a QvtSGzId4fud9Z8DI++QMOsee1MNuF5tePGpFScY76KnL4WcKORinYq1665w vRShngXq32/bmu4cekjC4sPiDxIhH8fGdR6I8iJhvqMSrXch/wYb9vav+sL3 tz08ogn9u9MzeaUqmIQHCpIJ65A/jw8x4xtxJKxQq6HjDfngUDrX6s+X0N9r X51tYbyFbXjzZV7B72tnHY1gPhim9opvviFh/h0N9Vowf8sfJPos3pGw2w6P bRdgfsccZeNrskg4Hteu68H8NywqE59/JGHa/Rl3H0D8lH0+W71VQML2GTfb n0P8FdzX8rtVSMIvvKaelED8vty4uixXCv2x+fJA3BDqN7Jp3otyEna2Fn9g cxXi29vSlqYK/OPp5QIDiGcGl976ehJW9xRfs71CIfML/Wxfa4Tro1Nr//Sh HlXc/Uu8Fb6ft+ObKdhHx/GHXgcJd7Wz+YzqwfzaVnzz+U3CIoW8jz3AY/47 P33oIWGBXZ85+cGJr+yyuv9BPG390fquSyHrfC1NYRmE8RH47e4CZmze/lJh BNaTgEadHLhwwjryxjgJE2pWXDYuw37OWPw/js48HqqvDeCKJCEyZsy+UEkS kkrbkySVkGhfbElZQoUkyVqWoiIkS/GzS1KEjKWQrZIipERZQhJjTe9z3z+/ n5k595xnP3fuee71sKHF4E359rARmcdZfPXF78UQOTrP9wnyx/U27v2jiyFb znpjAnLQvsKzlAmcT0DnWBTyZgepU7rTKD/amsb7yCMBlsedZxdD3vPG4Wzk 5IRnZnFzZMHE76NDHfLBQvE9tSKycLD2l4UAWaLpuO7EfFkw7tr9TQXnVzqY u2HJQlmQrvMWckI+P3/+ahMpWfgvw62Gj6zEPaJ8RUYWGlkHdjFw/e3aj7iZ JFkQPewQ4I8cZipM/USRhW4m7eo0sq7jAWlRuizoeRSs80L5TgRmzF/NkgVT i2spkqiPzMR/sye4sqAvFlWRhmxetE8QoigL6bJZXiaoP9KHlMHny2ThRtjK yvmo3+qh6e4fyrIQ+VTM9zWyp5hxu6yqLOg6xkffRXtQ4yW9B3VZOJqR2eeM 9tK9YaLGQVMWJn62SjWgPUWZGZTHrMXfb5cp7MP4ZHA24XmVtixw9iv9J4r2 mvdAP5W7FedHLudtRXv3WxDt/2GPLPA++ds+RH9ZpzDoOXevLMz4z1Q+Qf8f 2Lj1/CpTXK+0lxMf/d3Uqc/y+mH8fcFA9yvi/H7zeth0CuXV7f7D8zLWU8Oh a8+ckQXDd6upZsT9X/FvqncdZCFsVa+nAtZzo5uCmL/PyUJrZvC9BKwHUw90 kFhushDzPVzXkKifnTUkdnvIgkSX8PQv3F+8TGqdSvLG8dQKHkoGYzwrUR15 5ysLh5/OZF4Lwf1vi0/fbIAsaKwZ/j0WivXWwhUtB0NlYaCVH50cJuDrL7ny xj9MFkb0z0NPOMbfze8rc2+jPewtTafeFvCtXC49lYiRBSG9sNtGEegPGh1P l9+XBa/9/lF7IjF+j8AzvQS8/mLtwQ13BfzPjx8+s3qI6x2/c5wWJeDnOIvm e/8nCz9+ePJ7kX3VT+ffT5MFtUU/e/+Lxvz9uza/MFMWNB9PPzeNwfz5WLWg +ZEs1GT9pYwgzziFF4zmysK1Ju8hr3sC/hu10QKZZ7Iw1Wu5ahr5wfD+56rP 8fsmbY02sQK+a87z57uLZaHBzr+5DHmnE6PQli8Lz06e1pG4L+Az1K4U+pfL gk6eMFsPefhXZ+GDV7LgOLXrylnkike6Rfxq1LdN3qVryJFnU4raa1F+F7RW hyOfXiVePNkgCwLSrtrryBt/2ReTG2XBmtR/1gVZ+tGb4tUfcD3NYft2I3c5 arwwbkF5bNd8REJ+phrxwqFNFtr7t5Q34PyChsZfBHXIQpxaaONF5GPZh0tS OmXhTP4hFTKymuOLkpfduN5nG3hJuF5hVQ6/s0cWjp8gSSoifxz04c/2o75W ChlEorzSsr7z6UOyELBsu+40ytfTQb903W/0r6nNFvuQjVZmlJqN4vjf9Enx qA/eoGSZyzjq1yK5qQP1J8h0Krs5JQubk63Yssiv7d+XZf5FfaXruG1Efceq aJW/FiLB0oQK/Ulkp4Go8h/CJNBmPJAi5L8tc7pceD4JclsT7j5NxP2N/fEK jjgJBszf//z+n4Dft6KsYpMkCcwr1i0Zy8D900+Fl4elSRDZKuzUmSPgW9r1 vbxDJoFPutaOXYUC/poVBq8eU0lQnmh7vaIE94c/s181MEjwskx6p2yFgP/o zPlKMQUSHDe8661Wi/FbublyyVISCALydk43oH31r6/SWU6CMG2l1Xcbif83 /lV5rsLxK5N+bPqE9rTcsjpaA78vH/RQrx3tqe9l9bM1JDh6otKG8QXtKW3Z 6/frSJCwwvVYSSfa0+mg18MbSDAzL/L1im60p+WDryW3kGAkgDrX+gfaU69R jbIOrjdz1sWmF+0pNbdmx3YSSJw8dl+jH+3JVq7WWp8EsPYcpfon2pOSe+3V 3SQQn58RsnSQOC/TWhtniPLtSHixZ4jo77SprmgvCb5lc703/cJ66FRCXYsp CTxEl/HHkJ8uE64fO4DyuN/g4Tos4F/rOVm/+AgJlPh7qvnIR1Oq61cdJ0Gp y9d375BXnVqBeZkExSfzPmYid5xmn82yJgH5nPE3PeQQe1lpKVsSnJ98QEnE 8bXPzn/saEcC24kFtGKcT5/z9N43jiQwLVJOi8L5Rp3/NbLKhQTZiY8S1g4I +HpuXbfDLpBg6OrseDSud/Ris+ZvdxJY3uopK0V5PPSs/bDXkwRaDQYqWSgv kyt819wrJKh5UXbFHOUp5POEIutLgqkYBXY7yjvbL6XgXADqr3h5IPcL8XzF vUNN10lwY8vQHg3Ul0TQzSnNUBLkdDjypFGfhSG+9yLCSHC6f15d8QesN2/Z fd5/lwQN+PUgtIfKOye88mNIoKJrOpJdg/nt7j62fBwJxsY+hKRXCvjvYjdY fEoiwabvnnqr0N6CUxZ+P5JLgrnLrZseo71qp//zL35KAl/fFR/eoD33Zv5Z ynxOgsmOb34taO/bc9tsO/gkONy3iPwU/Wc0782CLRUkOLFlZcaNW2hf+RXp 8ZUkyHribXoc47FxYf5uoRoSpP9nJ7bsmoD/rzhjwLyeBDsfwb2t/rh+fnxo 2VsSXI2x+HoDv3+0/LYqr4kERd1zNuRgPH5edcmpq5UEvZMq7y2Scb9Yc1ZG twP9hbzw1c9M9L96q9ykThI82g9rNuVhvd+4e/RkLwk009QerSgnntfYElH5 E/21vTmjohrrsebVWst+kaBEO1mC+gbrvc90994xlM/6k5F/WjHff1lE3TlJ ArFbu4fPf8X49U24MG2GBGp9fxdlfhfwe3p+Tp8RlgNbdvqTNWg/kf1fYmtF 5WC767UH/n+wHhh8v0lFXA5mpn1VAsaJfhpVHSGSckDOsj2lNS3gJ44UXRmU lgMxZfGbEbMon7FHHEOSHLQp/BYhzm/Njj8sy6bIAXjNNT4uMs7PnLpruYgu BxxtDqNKdJx/5G+wsBNLDqY2vVz/WWycLy7knfSWKwfvKRH3ifPYBXPPb1df IgdB1aMnZCTGsT60/RGuJAdr868Xr5Ic58uJHQ0cWSEHQ5/LZGaQX4obK+1b JQeuxsZfXaXG+S6Suq+faMhB3orkmgRkjvS6MyQtOQiTMb/jgfxmscrCC+vl QET3BXce8mYHh757G+XAwyr/jzGOl12VXVW+RQ6MT3jePoTXZ/GGk/t05EBa LEaEs3Ccf8NT3U9aTw5uqAZYJC/A9X50sVy7Uw66ji9p658/zndQz4PjBjj+ ecOC3/PG+e3BYyx/IzmYZO42KxIe5xv80PqbYSIHu0+bKexEeRWDe1ujmRy8 MF2cGovyVLn3/PnkQTlQjVhwOR/lvdB4o+uOE3LwwWfo884xAd8j/bKpo6Uc mJvbTr/8jfWuCF8j4qQcbM6QCZZC/695vvXXNzs56F3Z3EVC/9Um+dYvOCsH L/WnKz+gv6Y7vsxQc5GDlVwlI4fPAv51hR22Xu5yMBEkobS8Ceu/y9f0ki/J QXZk13wTtC/blteKdV5yMLy9KO0w+qN+qEEn1V8ObA4qt5FKBfyCnlA+XEP7 WRJ8uBbzwTKdN/dPBaP8HJQ97J6ifcVKe964IQebAj/UjD/Cent87+Gn4XKg Zyn/wyUd4/fe2+va78jBUckbDl+ScD+V0UQWjsLvS6iJQzzmB1Hy2PJ7eD2x dbYNcQL+K/MD743j5MDuYy/EPxTwNYuiHrslysFvNbfFJ1NxPyXXejMuSQ4+ ntr8m5mF9WHNUYOBdDnw76jcYfFMwNfRtHwVmC8HnxMC/05VCfi5Nx4+zC6U gw3uq/KW1KG/9XVf/fBCDhgNFcw1b3H/F3dqs8JLOdh61slruhnz6UQqY1eV HHgZBOs/ahPwv5r0TznVyMErETP7rRj/Suc75Je8lQNrwwNtU+hvapbZEd/f 4/qeSRqz+3C/W/zrnESzHHwNWerCwHgsTVE3Wd0qB+Xvdo4Oo/6uOLuoHf4s B0nCzyPuoX6Hap9IXf0qB3KsVB59FPe7S8cGUrrkoD4h4ryjAPdH3lq1DT/Q HmISXe5M4H6jzS1trA/ll9QlEzKF8WnN80DGoBzMqeCbmc4I+MywqZPbhuVA eIm28cBfzCf9G3TP/JGDk4928vb9w/yre5kXLpADI73lM4FC43z7+BKhgkk5 yH2fwgxCe22f/NfRMYP+N+T68eBctGfTrS/mCZEhTck94A9yUbbPPRVhMsR2 iMUdQnsXNTCj3RUlQ8i/1wYhyHv7lkXPEcfP33+X9UaODZii2EuS4disi7cm co9CfeRHaTKsHu1am4bjaZTFy20lkSFb0n7iM17/8nGXOxkUMqhWW0Q34vyq p3VlyXQy3ODELQzE+ctGU255s8hgPt5yaBrXd1yrX/onlwzFR+emrcL1p70v vmm2hAwmJVHrFFE+o043pUqVyBD1ftryE8a7LVKWocoqZBjeXHzfCP0tKENT ImIVGc6/6rkYOCLgf9CfH/xPgwyXpU2SrmL8tPPNvNa0ngwzV9IViPz5jHNl /pZNZFhSc/GEKOp/TsnegDTA9UyV5S9G/7s7IfD12kGGnLUvqn1asF6IeD23 bxcZ7E9KGfe9x3i+OvbqPkMySLfZh9PR/yoctl5RMiND9YYGxf6XAr7UQtLs rYP4+6UZGkF8Af9Q6g/Pv0fIcGvjFZe/z9H+tz+fPnWCDI23dCX1MJ/8+hbs 0WhJhmll+i6bbIwH3scnN9qQwaJ73w1z9Bd/prp7ymkySJHElv1Df3lbKDwu 40CGS/Yn1izF39MPfrzg6USGoAz1oo3o3zZjqaM/zuH1vr9asQX9//GtS+f2 upEhQfzEfGXMzzvqOc5Lvcigo2ewM+OdgH/rzJ9fYVdRHhkBM9roP5/nVzpO +5Hhb4RQPtG/5JyOnf3bYDKMP89M/ofxquTLpp/aN8ngWfeQ34v114LL0meS b6G8r93KTsD6Jz7/6SmPaDIcKep/5zyJ8c/02o/uWDJo3G5L8Ud9rxk5fNIo gQz1e/h3j6G91KoIWSmmkOG1SK6qMeYbck1j5410MtyUe7vXBuO5xalk88ks Mnh8Tbm2FvNBpoj7F6vHZHilva+9THqcP56463hDHhna7PZdEJYd5+tsYX5e V0CGuwd3xE6Rxvmh7b+OPCwig7xIdGEyeZzfcrG8VZJPBocjvCPC8uN8BUrE IfdyMrANXisvpo7zHfNOtXx7RQZvtuzkW+Tne7UP7HlNhj3MRwWbaeN8kV8S H/PryNDvNHHlMLJRyBdT3lsy+Ow7e10BOWZ57vuQ92Qw8FyuGY2//17pZzL+ kQynWtaLFOH11KwPvLNoJYPIzUUPr1HG+ZfmKBvXfcbxTOu+zMH5/dBd2LK0 kwz/CoaYajh/42sDJ652I6v5kCUXj/MLa+t72nrIwHnXJRq9aJyvuOjRWa2f qO+L1sZNmA9vmISNhw2hvcQ7ufMx/01EOF/5+ZsMhhdylI5gfq9jaN5MmEB5 xPC8UjCfaZnLUaan0X9sA1UOo78lPBTEmf1D/7cLu1CG/nVB+Xm2uCgFdCwT PZ6gvr86xGidXECBBwJxq61oD7seXyrhS1DgsEfm5iCsZ1jrNjecl6XA5vTS p6aYr65dYu9/Q6bAcEv9/dZ6rFdKhDqW0yjwjfdFRhHje9X2isEODgU0KxyL F6J/aFxPurBekQJxZ9ccevQY90t1/n9vL6PA0vzhPVzMR6LSp/yHlCmgGGL7 0PoBxvt9+pI7VSmwsWzW1xP3b62RyyMeqlOgP2nHBnusF3VbxZmzmhSo65BI +3wT4y1zIOngOgqoXZZnqeDnVIt6lScbKEB6ri3hfAfzUVJ2nuQWCni6NYhn 4P5sqOfmRlsdnN/I7qIW3O+VO5oYMHdS4GDqx4EFuB9VyV3d5GZAgcWvO3+I Yz6MHCMdbTSigHWhj/9UAsYfz2a7wP0U6E1ZpJCI+fMjv+BP5yEcf2xq0gzr XxCOubTxGAV8bIWWjqUI+KSgo8G/rSiA+9rnQ7her/pNsganKOButNNiB9aj vdLse/+doUCB/rv2AIwHJqZCCnMc8XrXaY6ZGD9e3O1MP+JMgSF/L+t8zOdK beUaz85ToJGqy0zB/eEtVlKhtDux3ufCl1C+Mxb+OnaXKJCquztcIxfjR7JN zSsvCqjG3t5Tj/y2d4cJx4cCASJnGnY9wfiksrzVw58CLu4/89OfEP+Pi1t+ uEaBmtkrxQPIi5787FsVguuhtcdKY3zyENQ5B93E+TnOLiMjd6/Pnuy+RYGJ zOUb/uL3DS/fvLolkgKifa1lr5ALSp0WxERTIPtk8dOzyDwRk/DRWBx/9A5r GucTsmM11SiBAgJhzcW2yIIgUmLaQwpM2R3Oe4brsWgYUxJJoUAULUGrB9db J9Occzwd7SNnf8skykPLrGDd8ywKRC4//WMI5ZUQFV0q+xjtI31dUSXKU7zd Q98xjwLrAlxLrqK8tdzSJG/mozxJiyXW4/7FYnFL46NCCiTI/5FrScP56q85 9ruUAk4bezWI/Ux3lxVv8Uu072PjO5RwP7Hoyq0ejSoKkN9NMuywHrJ5+sv5 fD0FwhqPOeWgvdwyZq2NeEuBWcab9XloTy9+Gsw8fY/2oih0iLhfQeKlB4x/ wvELTEINcD9UdsP6nscPCug92aT3HvczA8tvm9/rw+vFHp80Chbw5V+VLSke QPkeS3zOx/2Q4zQr5+8IBaq/S+/y9BXwYyL3XGAJKCB1ZTu71hvrNXVP7S2T FDBm6iyU8cL9d136vxMzFCjtsuAYXcL9ue2nl97/KHCcOeYa4I71pbBYUOJc edBqnG+X5Yb5IU7LqHwe8lhH1Vo34rzMSVKXmDyIqbRUV7livdt0+5OwhDwY 1Gt7HkMWnC2PU1wkD4tN1w5NXBDwuQt/W21fLA8hswKlmAvE8yKGQwHy8lBe FkMh+k8mtXs+SaHLQ0O1xscE5DduGe7VLHn4liJz7hDy1OLWTX1ceaiLl/tF QV6aLSYsvkQeHI+d3tl+TsDfu3NttbKSPNhbhF35D9mz+2To7hXyYDP3XKgr cuqVOyb2qvLgKn7GwQD5Pa2CEqouD/3jO+WVkGef/m7P0sTrfXHwX4CsvJfz oGGtPARMl6UPuwj4ZgOGp35pywOjo97zM7J34GUV6c34+ZGSoTfImbzM32pb 5UGbfXakCrn5ReuzvbryYDl1zv0V8txDCzxddshDdw/XqRpZdXTt1tu75CGu 4W7VW+TDN21E8/bIQ9S/SrsOZH/liNomY3nwcr+k/xs551VF2Ng+eZjtsdIn 5tduPmJGPiAPqZeoZkuRxWY49LWH5eGM67ID+sir7xp9PXBMHtIjFmudRT6u 4ZXsbo7z0zVviUEOqs88E20lD7aJ9xVqkZ/Ztq0qtJGH/UdsZv4hdwqLj7We lgcRSzu99SjvddqnrjCckH2uFBQgW32I0N10Th6ahCIeziLfcHq54LirPLTP EwrQR/1+/497J95THmaOzGT1EP1W/Tonhb3l4bD9gKgu2seIZeIJW195OHiS aZuELMTmrlAPkodi2q8QJ7Qv2l1OefldeYhZYaaufhHt58LXZcvu4ffnmSSl IivtSwgNjpMHc+m9sTwPrDcWcQ6ZJqP9FdXtYqI9Gweyh7/nymP9uPr1sssC /oGTX8x2PZMH3orxsCzk49vii7Kfy8MuvasqmugP1twTXNkX8qA7T8uqCNnu HyvQrVQego6KzegQz99+7hhoq5AHj8SrL4jnVd2L4kygCu35/GsH4vnGK9HH C5Jq5EHpWVbjJ+L5STcWa0GDPLhId3KeIIeadfg6vEN9H/amW+Hv76yO63vX JA8DN3pH6Xi9xF/MpzFt+Pu/kr/ScP7Fp5gGKn0ojz5h+a0oj4rtnx+HDciD fF+PmQ7hbwr3KWO/5OHtKi9pI5Rv8xdG1wuBPBSaWtQGo/46XrTr86bk4Uba pEIx2k/3vdjsgL+4/nvc9AlnlP8BhoeRCBVsz57KjnQS8CfXtH95Mp8KKhfn 7p84SzzvErtdfiEVGlLsvWyQRUeOZHhKUUE5+ZNqp6OAL/mWLtMpQ4UmsvFp W2RSdpvrdjkq2GfWKs84oP5C7rWnyePvhU7YxSJzzxzRkWJQ4aOxGWsnspI+ PdWFTQVDEVONucirlrZJNvOokLrAM7zKHuOxyL1zG5ZSIW9uMDcaeeO3w5/i l1Phx9aZClfi/8VS2haRlVTg3F2+3xx5V1xrkq0aFTR/2j02Qzb2jBGvX02F a6kbMvYjHzh82El9LRVyfhvLWSEfX0f7GKFNBZ8HFS88kE+SWzdMbaLCGeaK s/eR7UejE49vpUJB54vhGmSXxkPzK3SpUPfTSVQY53sxh+qwTJ8K5z+TnbcT 55VvfGoM3k0FwYDXUDhygH30umFDKujcu72+Fzl016E4UxOU76qL4voorztK VJHnZlQwGcsgP0Y+enxpStdBlJfSiBb9LNHPePUuqaNUIF/81hGCnPdvT5iV JRU2yuYV+qO+PNccWX3jJBUKt41YS6A+de1sPxbYUiHI7oVvNHLTRx+G1Fmc z7YD00T8iZUI469zoYLei7l8a7QPa537llYXqCDuwKgnzvOPZuWnFlyiQnmE dfgJtCdZ/wFNq2u43ljmnC1Ev+nCyebQYCrcWnj+1D934v8E0UsFN6hg3XP/ Vjn645mlJFZXOBWGV+erXvMgnsfjlklGUOGQqlUPkV+mwlWt10Wh/sc/nyKe rymv2jDf6h4VTlzjRvKQg/7qp4fGUWFv0AMZ4nyTyer9ewoSqaBeERRFJc5D nbYa/paE8ysJ1o/D8b/FOd2WTKVCV8u/DcuJ83xNl7XWZVCBn/nveiHOx0U8 +JNlNhUmDNz0TJC1Icoz9DGuR2eDzzDOf65rMrsgjwrBZszdEcR574zc8m/5 VHhCm5MJyLc6+Scli6hANxzOHEH/O0ypF1tXQoWZEdV9xPlX3p7WDMsylN9m o8QzyP0+PYahL6ngrL/9rhpybsHo7/wqKpwM8dD4i/7qMTQn4lsNFWxWdDq8 RdZRXLROsoEKNX9FddKRxQ8z2ta+o0KbvVJyEHLjzeVelk1UeEPeFuxM9ON+ pcUNbabC2U1KP44jW05ve5nfivL5dyPZBFlZfe+pb5+poHVkab4BEV9tjotL dlIhUChFdA9yYaxd1tpuKvj1dl8m+nv7NLobW/ZQ4UjxVxFz5F1iAX9C+qlw dP6nqy7IMptvR+YPUkFI88gnYj4t5xLWfxumQqiZ6VAqckJaVrvEKBXulHAf 1CHbfim8snacCtOWiU1jyGpy1TzLKSoUzdexJvqPT+z68CrkLxXEtsiqHkQu 9f5mmy9Eg2n1D5LhyMYDM9kS82lAWzfjJoPyl+eJm6wVp8HJb1+eHET+eoAy ZiFJA4O0N7ZJyE4V6hvyZWkg/Eknguifvm5yc0cnmQbnDJWeJSALrTK4KkGj ATlh6sEMcliMTZUFhwbvqyjKWKzy3Vx9znkq0OCo0JajCsR5TpM49t2lNGhs qfMJQlYR/+hWp0KDXW9ejJujfb6+uF1p7Xocv+SOy3KM1zlmFk17N9LgenDM pgTkKPXL3vZbaOA9zbgmT5xn6MtrSdxOg36/wTbi/QlzDylelzChAfW5x4Z/ VwX8Pk1Ys8yMBqy3GaWePlh/Sx/t3HqQBtFvonWnkAsG3EKPHqHBnb5jd92w nouvvr3e7TgNrJZsvD7qS/QTevQ93IIG6/wy+538sP7zrg3PtKZB3D+rkAFk s6M9m6pO0cDmSe0nGX+Mn+uE+zvPIOt0y9bj5wokduSMAw22uzaOXEcWH9bW oTjT4NKd+kB95JYUlxgDNxrwy9/I1OL1LlC+7cr3pYFX34RED87v6J+/gncB NPj63UjyCbLuG+rDges0OK+9mHUVeXHg3mluGA3sl58OJM6TTlo6pGy8TYOY hOjecVz/183X9x2IpMHQ98t2DcjZgtKMkFgaMNYFtV9FjmhsP5AST4Mnyva1 x5E9syeEyx/QwMTT/zPxPhfrIFJOezINSlkz0mzk3TZqR8dTaTDxj2M19yrR 78NAbHEmDVz93d72oPxpLNs8lUcor/5i0zfIc6Z8zXfk0mDG+1d/AXLvh3gJ y6c0KPhkFppEPO/+uKjAs4AGu2v919xCfhbabH23iAZfLOzarxLnD07/kc4t QXk/NvIgzkf4bV/0oq6MBm03voieQrbjrjjd85IGSis0LhLvUzD5qyc3t5oG QVFvqvYRz+N/sixj1NJAXSO/l3ien/vUy2FtAw1u/zz5bgeyWHgM1eQdrjeg 3VWXOG9h/+yVfRMNLmQn1xPnWZr1G50Dm2mgMtv2muASxSHmg1YaNPSuOkF8 P1lIvKb4M34eOuhNjBfSvsS1+SsNPjnN5RHXO1ewlTfShfbAE15D1C+H7xxr kOihwc+XapnEeWLGE3G6XT8NRFbc1bdC/vIu/9TrQRoUVl8+6Uichxi2zlv2 G/UrrDns4U28X2nxnIBR1J9x3odryEtV+Xu6x2lQ3ZIxlzhv02dgH6MzTQPL 2atWqciOQZWr/82hw8o6Lec6ZLW0c97H5tEh9Vf12BfkP1Wc+iIxOggXZB8j 3kfjPu+SjfsiOmR2afgT+vbxXhX9m0GHM5G5Q57IuvHt3404dGhzDtsVgTy/ 5LpGtgIdrI+1dGUh17RrXZFYRgea24fkSuJ9E9NdtWeU6XDLr/cS8fy+IS1c /vVKOvwND907gSyzfvPJZep0EDpvsVgG7bfpwM/H/pp0qBs+5ilOPH/vGjXb tZYOMX9pB4nzAwcjtu/W2UAHTYayCfG+GXreyN2EzXQQiDhcsCPe3/LbQP3Y djokKYufmI+cZj/H+qMJHXLDh1MMcX32wdk5mvvpoCdZ1qpAnH9JP/L31iE6 1Hw85jKF8SS352mkkTmOp5T5lThvdV7UqivLig4XUpRKiPNga5dIq0mcosPL r9JSRH1ZbHnmdbUDytdzjwSHOL92lUJe5kyHG4+ai4WQtya8tPQ/TweFRTrd 3zB+VX5mzWy9RIdFazwiM5CvzdTqJ3jRQTzxAvsW8m76xYjZq/j79Dy6B/Lb g+9Vi67RYTrv5ElD5Ftu3peoIXRwiruSpY1sFrmy2u0mHe5d1jyuhCz/tJX0 8RYdBgbbz1GQW98HWmhG0sHX71z/fOTYEc3sW9F0MNob9WIS6/MTMt+mhmPp cNjwTu8AcT5R7eYOowQ6FBcftekk+icYbryT9ZAO0k6R6s3E+UaHvq8LU+jA EovWJc4zng6JXHkmnQ7PqC7RlcgqGds8qrPoQNHrXV6KPPR6uHLpYzo0bfX6 VYic03tf1j+PDqa1F7qeEf1X5u8278qnAz+scfYJstbSicytRXSQET2mnYs8 oZs8GV9CB68VyTceI3sWxfu+LKPDu1Ot3QQLacRI9r2kQ+JlBx7xe7/UO3cl q+mgs6sNniLPZ9/katTSYSLy8voC4jxvxPWM/Q10CGwLmVeMLCXht+bSOzr0 C7hxxHxv+Xjx45voMNaxduYVMnnSfefLZjps08uSJ/qxx5w99763lQ5H1usN NCIzfzgck+xAfeRmnW0lziMfte1R70RWdLv3DVnxvaXz/m46zPnLtv2JnLrz 2LRHDx14LJmGUUJepQf84/vpIGKU8GoWeXWWQXTvMB3KvkbtIqG+ninsUJAc pcPCusPVbGTtmK1Z6uN0qPZ1LFiBXCK9ce3+KTpYlXcsXoesE6hV5vGXDo7s jDe6hL39VdsdL8SAiJv6qwyQd55f8aFCmAHrb9l2E/0z6vqXnOgVZUDrr+DV qsjGFpw+CXEG5GtdZnGQm5pp59QlGbBM5t1/i5EPGsr9NZNmQPy9nvp5RD+R DeIy8WQG6G3umBnE+X97LHKvgsqAd3a+ol3INkr/FHsZDOD8csttQXaUG12n rsCAMd/3I4R8R4KHys2WMuDChtDAF8gX5vYZeCxngEvrJj6hvwn3ro9xKgwQ XZIUnU3o/9dn84pVDEjX3E9OJfRv09Lfo8GAXL9yzQeE/tsbz0toMcB6Qm00 FllsX/2s2noG8Noq9kUhB7+uuma2kQErWt1N7hD6h/LFHlsY4D6x/FcYof9n xbFxOgy463lD6Qah/5X5Syu2I7ds+BtM6P/h45wefQZQQv6zC0Jm0TK1JQwY YCek4HIdOTHsv5dqRgxQPvFDimDF+YmGZiYMmGc1HwhOvXyv5aIZAzp4V4SJ 36uMRljGHWSAVfPyA8T4OWfCBsqPMIB1r2pdKLJmZ5Brz3EGyC/5m3wTOf+A v5CEJQP6LpvG3kLWbrgSpHaSAS8ebaJGIpfoepDMbBmQ6LSIFkP0Xyg6H3fR jgHfq+bHxiFXqp9VinNkADvbIPYh0b8h9XRuuTMDhlMGKGnI9SzrjT3nkY98 WfgIuWnhIWO1SwzYF6FiTPjLQZ99raZeDLCUWhBTgdw+scf64lUGhKhvMqpF 7vqu414eyICJ3Q2DbcT14xseKAczILDQ+/Z3wj8OHq6/dYMBxgc3/veLuD9Q 68yzimCAuNPtfyJEvMpJqBN+yAAPp7oxov/E+jMq43b/MWDbl2vuQNR/CgXc pjQGpF102LIHeX/kG9ekHAb4Lrrtewq58dIsZ3sJAwwNJ7bHIauvCdqdVcYA 70Vrd2cihw3Jucq9Qv09NLQh+l38SklMuFzNAJnd9PBqZEOLlbXfaxnwc/Tk q4/IWbTnY3veoL14nbrf5EU8n6jLedbIANm120LriPsXoW93sT4yoP3B3ssv kWv0jl4I+MSA80JmTsXIy4V644faGeCVM/d0HhHvn5+r2f+VAX4hwmeI+eip BLOX9TBg3emTN2ORy2UKX1eNov0W9WddRubWbh9dNcGAoj2vV7kie/u9Y0VN 43jX4usdkTeP956zncsESssaG3PkwnYKa4E0E8IUPu7YTpwfj3yo7yzLhH2d gT82I7sbrTr3icyE7xFKuUS80CrXq05jMuGI3kCzCnLEpcYRGS4TDm96s2YZ 8qjmcaaHIhPONXOquci5KRdcdq1gwug0OZzILzIWc+7nqjJBOJBXS8QHJ1po FU2DCR7rzoAU0Z/nvfyIzxomhPzwHVmArBqaxPi5jgmb50x+I+JHqJ7ajn0b mbBgo57sXOSBf0XORVuYMKjW5kfEw93Pd8QqbGPCnRnq+mnkdJf3lcF6TJBu 2q8+gbxA5cTvPzuZcOB2syPRn8T2ez/96B4mqG5/PzKCXBXnqvfSmAmaSc4l w8hLD851VjFlQv6dmsYhZH+ZG/fuHGBC293vakT86q6hVs4cZsK1tc8/EfF6 m1/ysPVxXI+dckM/8oNN6vR6CyY0ChYuIrjcUNx32poJu2t0HvQR8e9EV/9y WyYobTO9SPBc52KTg3ZM+Pj5xR2CFXwiCgMcmbB61eAowbq3HXlPnZmw/eCW GGI866QdQV3nUf4XhPyJ6/s95YzIuDNBVszuKZGfkyonD8ElXM/RlBXE/F82 N5Y5ejGhoqemh/Cn7t6M5fevMmEsubnvN7LIlF94rR8TvtgXqRP5RnHh8cnJ QCYwNxvxBcT1GWstlIKZsPzW/ltEPWC9Uvr1/htMuBfnlT5DXH9zn5p/OBNo d4/NF0L9JBuVRz25w4TaXudUYSK/mN8T+naXCRecuKFEffHD+byt9D0mGO/k fJiDLOq75+3mOCYcWu5W9n/531m6ziGRCTL/Snu/IOsl/4u/l8QE79KPe98Q +eJZy/yaFJTHCR9hPlFvtAQ1L81mwkDxuSPxRPzqs9pi9pgJPuPTUkS8/jG1 McU3jwmfAu8vuYq8jPnL9WshE9IO9kVYI+urVndIlTCBYwozRL8G2y2JepvK mDBjK/ZlJxGPLfaRY6qYUOJ4UEMdudpFxau6Bte7uj17CXKv77wfgnq077eV fBqRTyI69ix5h/o42XyG6D+i9F/+031NTJhQzH0qSlwvP4zp08yEIf0vyX9x P2tbfdo/p5UJ3L+vYQz52iedwY7PTCjdzg8eRE7rp5tJduL62weCfxDno6ZH izd0M6FH1FzvK3K/RIPimR4mvLcWKW1FFmelhET1M8Ew/8HfD0T/m1Xeo5WD TEiP/yJM9B/ZBYeOjg0z4fN+7eYGon/IXo2XCqNMcDm60JPojxFkuVDFZJwJ v5i+ghrk9HPdt72nmPAsInUXwTV+L6az/zIhq/OAJ8H9EZFWn4VYYPsObtYS 1085W7tQhAVU++8B9cgrCvRXa89nwV2HKJu3yAavufdsxVnwqvCSehOyfevU 3LuSLJCq9+on+nGE/Hx/5pU0C1bIHbvTQfR7mcls/CPLglumsepEf446yQBt HoUFWYNBLweQB1gnHhjTWEBZsdmIkJ+E2jrxK0wWLLwc9n4WWWWrjEsWhwXu Wex9xPvjDEz6P7UpsMBJfPcbErK9VcVW8WUsuBegvpOLnOV/QebUShZoHz2+ ftNl4nnpYz7+aixYoO1lbvD/fKz75+FqFmxO2HL5KBFvLEkfvq5ngccV18gr yP3Ume3/NrJg3tnEcCL/Ln/X9YwJLPjV1XTlP8KetjyJOqzHAp0hv1XvCPsR xCy4uJMFe+tMBnsI+8z28bhrwIIPV6si/xH2zTA52mTCAiHjnER1wn/er68f MWNBYnD9zG7kJcHczTKHWHDZ5IsWkd+SJofZhidYYJW0di1xP6Q7pyXM3pIF oXO1Rl8gK9iWzgk+yYITqbcvtyNbslNd0mxZoJFxJbUZ+cHHm11VdigflYz9 r5A7Q91MfziyIOdQ4sonyJztJ16JuOD3K3+uS0SOf6KastWdBfGPPtO8kDvO kOXNL7Hg2fJaMaI/CYs3e83LiwXFgtuHjhL7i7D6M0V+LFgp42hC1JftO562 fQpkwZ2tzTIrken/Yg0mglgwtLHSkkX0O3GwV10TzoKX92J7iPjfqmgav+8O C750RGkQ8YnavkHa5S4Luoc3byLi48HbClfDYlhwPX5wMRE/onYtHMm+zwK1 /oESov9b85w/lvUJLFAaOWNA1CPk563vfz5kwfc298py5P1O5briKSyISZy/ rgg5Yln6U6V0Fuz52J2RR9Q7HeFLd2SxIPJQvgpR/5AiL949mcOC4enpl+nI +/ZYiPk9YYGo7NwrRD+xWyI7Lz54xgLabI91MnJjkVp/6XMWKMbc9Sb6wcic kz/ypRj9J7m8jWBjZaG6v3wWpC/+8n97Cevs2cioQP/YreBK1F9vo95kaVei fZ7wqSL+P1lknM869JoFs0tTPYn9jeH8+JtudSywMRq7T+ynbpQECEW+wc/3 X1pN1GMNFxyd8xpZsMp9QrceWXLl/m+NH3A+V99/Iupvg+5N+363sOBsNGWS qMdC7i15uaidBUmjZ9OI/FBnIrlG9QsLTFwUfhP12ELxsWSDbyxwU5b+SEbe VdZOtvuO8vnx3zFlL6Jf7cvA670sYAX+CNmC/HpV5kTKTxZ0mh6w3Y8s1nP7 dOUQC8ibRUeJeiXQzGq38BgLsrXqlicT9mjUfvTkBAs+z3NwJuyxeKeZY9U0 Cw75PCvv8SLe57wjPHguGxqyhgM1cD8tsa70weA8NjySiZ4h3ke6TGN9ntEC Nigb7vT0Rz66dEWzrDQblERX3PmK7MZJ6r0gywaFjfFLZHC/f4vGnGoms+Gj 6c28bchVUouYsUw2qHX2PM4m+qeJXVOd5bBhp+l8GeJ+1szcOWCuyAbPObOG XOJ+1/iIpeIKNnzRrt5wD3nPb7vzAapsIHnFvmtFtv3Z7d+rzobD59eQGES/ xO/H7u5awwYf34tVxP2M+18+pmauY8MxTQP3V8T7kT8ZFUptZMOwyKfuK8iN 76trnbawwfCks6Y20a+kunBIU48NJdy1dKJfikL5aqG7O9mwNJA8l+gPsrk4 U2bSgA26gXvtlhD3m3LiNF/sY8ONdreTcbj+jigfj+0WbEg/NXP0Pspz8tZ0 cIo1G9YGbisk6kVS6Pn7C2zZ8LWn59MSYn941aa03pENBru5f4n9l/WlL+9W ubCB4mBkSORXrwsHu8IvsGGe9uiMIXLe6V2i+z3ZIFehsIDoj/XGqoJScIUN 90Xu51QR+ePYxuU0XzZEnDXaSfS3Ejn4VNszgA1vnj0UXEJmm6gadFxng4zr rrbDRD84g5RjEMqGz4qq1E3Ipnqcsw/C2HDyjfU74v+LsxDtLXKHDa13uIoS RD7TXnzL5i4bWvqT1SYvYX2iGfywOoYNjGQNuX7kUlWRp8pxbOCUTQx1EP0c lS5XhiSygTW2oLUZeYwnaB5KQnnO3fmb6G8mzTzbZ5zKBqnqQ4YfkZUpvVO5 GSg/eviCduTtMhYSco/YcOVY9/ofyOYLW5luuWwwbmwZHUX2mLdv1aenbNAv dDEUw/lF/KuFDc/ZwF2ueIiDnDOpa3K/mA0WsUVLiPXV/Hlh9Y/PhlXGJhXH kb8Pal2wqGDDeRPtLf7IQr2PAioq2ZBnMpCUg0z7phS1pIYN7FVjf4n6YE17 YlpgPRvUN3XtJaM+pFVtJx69ZcN/5JMxRD4buKK6o+U9G0TcZyGQqG/ejUYI NaP8/Kr1iPs1SQpF3UqtbDi9ipNB1OfeF66u3vsZ5yseZbcX+WjVDp+LX9mw pK/Pl7Afkl0Tu+YHG241nE0k/q8dLo5xHOljg1nHgTv3kOukLF7QBtlwc9Kq cILoB5U7eNjuDxsuPV5jzSf6n4jkpd0WoH1L336phPa9cb/HRNEkjndKUSYS WT4VdnTPsOH55hMa89FfpjyFd4sKceDnkfrHbsi9yTYuMXM4sOitlxHRP+Rj w+toVWEOCD1XWr2G6F/CCevdL8qBqCue3aNE/9+XjIAUCQ6I/3fili+RPwav ZG2Q4sBIbsBcor7QI3c1vVnEAcnBiO79yDzbNIWJxRxY+l5Pag3q89NCrTJ9 KgdenYvSo13E+lMzuredhuPtPHj3vjva/7GZRc4MDjxSeGW7BDnsUfnxaDYH wnca+29zQ39pWRKwkovXk4re2eqK9cic61llPA6QVpZ6uyLr7zOa6VvCgXx3 vkrpBdyPeeYqeC3jAE+8QtqROK+VLLd78XIOFAV+3E68j3Vxg7vLf8oc+DLe 9q/9PNrHeFu0tgoHHivKO8chD7G3lDWsxPFM2TU2yO36D3otV3Eg923Zei3k Gud50uNqHHBcPzEggVwQY7s2WIMDWplvpH6eI94fWHucrckBr2dm1W+R7wyo BjxZwwEbqh+UIPvI3crasZYDlUdVYp8gO20ea2pbxwGORtffHOL5h1MHZ85q o/xTfvo/QzYIK1IQ2ciBOyt4Ji+RtZ+zdkdtwvHNey63Iit9u+qisoUDA2Xi vElk8sLv0aXAgW/Up6YcnJ+Ipn6ZqQ4HTKtNlhsjjxzN6O3dxgGxtss514j3 qfpLSV/ezgGpiZ7x18gN2c5rZXZwwJWqK04i3k/b3HQ8WZ8DMXS1XzbI6ULr AtbvwvGYrIxy5Kjl97Lqd3Pg8JNNW5ahPkb/6CX77uHAxDedtXHIRiUjseuN OGAyuv0aG/WZfi3uzi9jDnzNk11K/D8pum9XSLIJB+Y6nP9H/J9pyRT4HjHl wKyT2OxX5JKexEsy+zngaacoSvSPvuA5eebyIQ4MO4ymznhgvtdLtlx9hANH N90aJvpbq8jsPdx3lANKG3Xu3UF77E5O3WlmzgHd8AgNwh/ByXTrQksO6N2Q it2I9n1PW2h9mRUHUm9OWqj9v79WpprbSQ48OHlDQwX9weTNAaWVpzigY9bo uYX4/ydamNNli/atWNRA9EtaYP2IEn2GA4vVXycq4XilE6Lz5zmiPETbHsqh v6ziPfvefp4DQZY/Pi3A+QcNWHy+5coB/RXbpqRwfT+eSX7Qd+dArGimljzx vNLuky/zLnEgQFaseB3KV+IC6WGIDwdu/BZ99MKZ2H+Vxuj44XyWWjj+chLw KxbY35rw58BHll6YEtE/Oq7iqvV1DmhKf/fIdUT/tj17kRaMXHn7rzCyxmq6 89sQDuxvvrr/uIOA31flYr4xDK+nMNylao/72VusgyPhHNjlp1ySbEfcj60x Sr3NgZnYb8+XIs8sdd1xPALteUEdL/cMxoPf3C2ku/j5/JCt+sh5RfVaNVEc UCXFHek7jfVXwEVV7xgOFJ5Y9yQC+YzxkqVasRywX6kWuAe5kvaOOXCfAwKJ jsUyyLzvnnIP4tG+x+fc+Gor4F9+pCR5MJEDPntSVIqRWy42iUg95EB7nhg7 CVlT13umIokDSS3nwqOQw6RURi/+h+tdsDIzGvlnS/PPVakckCg2uU30n9d7 6Nv1PQ2/P1hqU478wGFV270MDtSYj27tR55d29a4N4sDz/iDG4h++YfmBtbM f4QcQzplgZxXp1H+IocDm/Vo73KQpe92PD+Xi/qJbPeRxPXbWwQ9Xp6H9nFR 39vtDHGeXSvty1OMD3Ybq4eQFQWdCRH5HHhbe8b0HMrzSmlo1O7nuH6xjdR5 KP/+z6V3Jgs58CNm5dxE5P3Tf8JSijmQOf+rL/E8Spn8slCzErRP10bfWeL9 A1qHrwuXor1NKX/jE+fB94X6Py7jQF1GzMXQs8T9k9KrJypwvXFb2afQPloy lnoUVXIgZOXa+k0uAv6214dcT1ejvxmOWGpj/Mj+EeJCqcF4EuLH1cF44M/9 c+ZcPQecwrf5XEV/Ht689BT3DQeqB1t+vUZ7PXr0kNWbtxxo+mBUIoP2rXGX f2RFE/p/ru2W++iP9/NGDnz6gPaZZtnyBf1RrHGJaWAzjtenGU/cj/8iEWLQ 1coB0ZX34+4Q///5HNx0rxP9ITPvuJ6/gD8eH7x+ZxcHrrm4GVkHYHx4UbJm vJsD3b1rQi8FCvjrJxRV9/VyIMc8Zcud6+hPDr9ZC39xYLR6fahVqIC/N1iR /nwYx++s/gQ3MJ6lHqCcGuFAw/mUy6SbGD8rg2TlRnE+hwdWdiDf7nqxqGIM 40HwxaT7YWgPQr8XOo+jvA/IJ5iEo/2yFMXYk3j9vDvdM8hwKEjo0gwHGDFC zmq3BfwM1xczSrMcCGu6fPj5baK/0vDEx38cgIcKb7XuYPx/rDDmN4cLJZd1 clKRBxv2/9YQ5oLQj6IOqQj0p4Hrg19FuPBSmLz9dATxvvEXfTdEuZDbH9qY j7xq2fD3jWJcqLmo5DmFHKOr8K1/AReWVpVtVI8U8OdZ7u+IWsiFG6J0uaPE ec4r11v1JLkQ0/5j4SXk9tjij6NSXOgQb1p5A3lH4a/GB9Jc0LCLDI1Azm3m vTFezIUzvKFt4cisMbPaWVkuRAplnb2KfH3x9apMOS7MTj1fY4M8uqq44jCF C+5Zi8u2IJ/Y84svRuVC06caHSnkmjO84mc0XN/rBSPvcL5rrpkVWDO48PH6 PIlg5ITka3mLWVwg/55+vx55YUVRTimbC6R9y293oHxcvw5lOnJRXu3FUReR v/3lpjEUuKDkX7N+IfIeullyjSIX2j20391GeUd1q5YeWcoF8xdq9xnI3Vli bQPLuDD6vV0j7paA7wnF0otW4O+nFzJCUX/VCyJXJKhwITtojfI06pv0/qye uioXQmK03KyQzWN3WpSv4oL3H/0zlWgfmScVPPepc6FugaOjIvKE6t/Ibg0u HN9oMnIZ7Ut34uPjC5pcaDW2FevD64WV5dSJanGhutNLzzNKwG8LCuq5u5YL 0n0a/oL7Av5SU+u5y9dzobTHJMfsoYDvwtzMLNTmQv/QyZd3UwV88ZzfJu2b uLDfcN6v4lyMBxdrHRy24HwMF5nF5mP80km+NgtcKLget+1AMfrDh4MlHF0u GOc8ZR96hfVjnManx9vRPvbbDcW+xnx5SmJUZwcXfEauij2rx3wyxV9+chcX wkaHcy0/YHyriNYV7Eb9NSqV/GnB+ij03InAPVzIWdQrbtaO9cj+PR7yRlwo 99p7zf8Lypu9LCLNGO3nReF6v2/E/VOhHG0TtK/VTVrGxHmm3Naa2n1cUIuo z+jtQflfyvt+1IwLu964fjLox/2j7g2hof1cALNjcp4DWJ9J2dKvHOTCweLv ry8MYT3UvFVL+jAXGm5ZuK4fxvohgb438QjK/yT3UeVvzNenx+w0jnGhu8uH yfwj4OusfhNQcRztU2r6ysZR3N/PpCaamnNB0Z6RrjiG+5dXPsXfLbigz4v2 +4C89ObRZlcrtK8pkDQSoPwPao3MP8kFsdXT+8ORS7jSktE2XFCVKb4eiyz+ s2+Zsi0XUle6fnNCNsur0Ck6zQVlm/lPpJATLt8/ZmCH9mTDtXTF8Qf03Nw/ 23PBsWylXSrOZ5303tuOjlz46rvyeDLO1++Tcva/s2gPcOeLwwjq54HI6zBn Lsh7sFLn4voY9h1d3HNceOD40M/6F+prTcFs7nkuiCt/M7szKOA/mQ2n6rqi PXTslL79E+NVlZ3mBzf0p/Mviiz6BPxd4duNbC5yQbDN5NwclP83hUm/a55c cHIOfFfQKeCrDjbGU70wvgyWLHzfgfXDs8zC9CvoH4MJ7hVtqI+d5sN1PlwY WvPngwrax1bHqiMy17nwn/BfvmEl7i9a+vReBnHh05OivqEytJ9tEhpuIVzY Eyjzz+EFype6V+zzTYxXq54JyeZhvel77s/NcC68Sm9X3PxIwI8eiujQuc2F L9yIBybpWG8dKng9docLtuuStuxLxvrnZWteaiQXXtd3v9VJwHpB9W/8kSjk B0brifPyV6LZwVIxXEie1gi1i0b5iui4lt3jwjwH7stf+P0RR2uL8/e5cP6t +QY99KfMTwEGy+K5kL4po8cOr39SN21tawIX0ipvdx97hvmROiQJSej/WRvm xFYI+Lf8pCdHkrngYjRM60L/2f1Lozs5hQv2F9UuDrxB+3jpVrgwgwtjyzsf bkJ5ua+KSS7J5AK3Li/x6lcBXz2mOMw5mwu+2xP1vL8T5xPmnGp+zAXXdfTw FMK+WxVMgp5g/NwzeK8e9U/Zrrdp01MuXHMdoqShPb19ZKs0/IwLCpt2k9dP Yf1IC5Z9WIDra/Su9/yL8cY/a9askAs/BeLR54TG+X9/vekTK0b/WbBwkiE8 zn92eKSp6AUXKrb0hrvPG+c7vSKVOvJxfmp9KwLmj/OV1dZmcMu44JxTmbt9 wTi/K+ZQZFM56ltx3Zp88XF+7DzPq4EvufDb7GJ368Jx/n6nOHvtSi5c7Xgt +1hinC/dVnpgsArj3a4fa7Ulx/mvt3fpJLzmQuM/jx+uyD4581T31WI8Fwr/ cAp5I12JKlrPheG00VZJZIH/LpHnDVzI8438eRrHezRs/8vuLcZDtR+0y3g9 2yM3W1mNXPDMXBajj/PhVT5+9e492tPX8vx6sXF+u1pTjt8HLjzLC+2QxPVE 3BPcW9vMhR+PpSPEcb2GotTA/hb050OVnq/mjvPFnDe43G9F/9Qz2wsor/K2 Y8eM29F+4VUPIc9Let76wh1c0DR6tPIyynuI/op1upMLOzqVR9+iv6YG9Cxg dOF8bmpUKGE8svi9YKyhG6+36Gu7AcavpkrDWs1eLrRc++ks3I3xR935WU8f FwqVfD/HYLzcEXs7MeYnF/qy97qIob0UOre4Cf3igu7yz0+c3gn48QxLxbox LviJyopVYDzXXr1C1XIc9RWsbP0U433TztG1ExMozynK60jMB47mL7bemOKC g5FR2uksrK/cAnYrznBhQKXNUw3t/UGokVnhXy6ceBdVOvhAwN+YJH/C+B8X vBJdxh5i/vlY2Gn7Q4gHVrJR663jsF54l+7iOZcH28K3zj7BfCTee85zsQgP pN5qHh0mzsvObgxInceDTOZtRUo2+suKN9FNYjy4Fki5QC/AeijgT6nKIh40 WaYdrKzBeBtbXFMuzQPFhp5pBvrL+Sf+TQcX84BXEnPY8D3K8yul10+OB31v xty0UR46419/0yg8sNtlO/Ib41G7ZPp0jjwPLs24JlzG/CKzYeOiz3QeHGMM 5i/E+Ja5dx71HJMH9Y9sDi0k+hXYNvAWsHkQ/31F/Cf0r69ed1XiOTxIldlj eAHjqUeEudYaHq5X58XGz6hPUuZyqFXgweLh23ul0d+yy0d2WizhgUHAHn/J CQFf/1PRvvGlPKh+LP7t/STxfgi/Y6FKPGg+1+BrOY35TNTwlIIyD2R/FUYV zGC9x6Q4P1/BA+EuA4sPaE85q796GK3kwdOmCLWCWYzHu9L8vqvieG/P25v/ w3xp7nLjkhoP7F/Xh9Yje7ltiJLR4MERHz7nH7L8DZEHKat5sPlv88tR5Nyk +oxNa3iwx3bHymxkg6LIp++1ePDlkgx3BfKPdyf4p9fxYPX2TZfs8HrevUqv /63nQZKh8IqzOB/av9+NERt4kKA4tVoL55snV9S+YhPOd8nW7FK0d0MVvx9l m3G+EWmVUrjeXp09wweAB6smPpdwxgV830PkqcGtPDgcGjgowHzGcvoi7LeN B1kiLiXhGL8KAlIladt58MEgK/c35iuT+86UHD0ebHHNMqdgvhp4os3V0+fB /v9szwtj/g+oEV7RvpMHPyXOPXr2Q8DndNZpuuzmwekm+T71LgHfVOqEfpwh D95phPD80D6GFJVMNI15oGW6f/OxZgH/2obfR2r28iBapDVsLtpTsa3vWYEp D8guT0TyMV4rVqREGh7hwc6ptyrDmH8aVCaS2o/y4ILy4AInjP/ukfpPzhzn waMaIY2aNNx/CkWXTZzgwW7x/V5CSQJ+7em+NwEWPGAcKWknoX+cf7++g2TF g7izQUYLsJ5jbQoaeGDNg8b2K4NfiHryv9YpNRseZFvUdcYEYz0hvWIB/xQP /h5UcbuG9SLD4xJlz2kefDdQviaO9e6rrtolbWd4YPP4l0VgDOo7315n3IEH EoVbXtlg/uMfy7606jzK41LugnOFmP+rZq+/uMCDr6YLRHz4mJ/VjaJ2u/FA vHarhttLAd9GZDjvlAcPznZ6RIg34P7UESrGLvFgtquKldQo4D9vDnvne5kH E15CATSUn0SG+lC8Nw/EXGxWRmB8ekbymVnpg/5v1akRgfI392oUL/blQXGC +oPTPUQ84FF3+fNA+uy9AGmsN57sPbesJYAHcm78mUD0t6NFFWtsrvGgd4fG 6gb0N9ElJN3R6zxI3LbIrhPt5fBEnrl0KA/Uwm232aK9iVjOOxt3gwd121Kq WtAes2vNLquE8eCfQqucNNrzwTX/BReG8yDyZ/57iTnj/Dnxgmj92zz4/Dy0 uB7jebrYjtSPd3jQRvtfRWceT3UWBXCZFomGwlB59LsiGi0zJFk6tjK2oSSZ kq2QZYxkyxYiU6Q0ZEkbErK8ZOdhhCl71kGJKRHJ9uzPnN+f38/7fX733HPP cu+7v3tP3iOTtXMsU/e4ArtYCgI1xy/GYfzn9A7XTMWh/ny+iCSvn2Ol6xx6 GxRPwaXC2FI7zBfHc65/2JyI8ei8bxh9H8OSaM9EUhIF4ro7yvdifkkJluXI JWM8uWVSvh/ZaMyHr/gBBXPrbq1M4PPzJ19vO/aIAi9rBX5n5MesbbIdj/F9 L9vupmB7BrJOSrYp6K9rXM3iUZ7ZO6U6k6kUMD8Uy+uhvMnLm0wDn6J/nDER KKTriV84Y8P/jILqxhH+AcxPU81ZbokZFCzOBxm/Qn9OUl4JkM3C55XCdtgv 0/9nGEYWPqdgspHT8gr9dYIvOVEnhwKFi6nDHzCeaQ6oF1kzKbD0iUw3xXw1 9sut2okXFNhw0hqyMF7Gvnjf7v+SAs/B0qOvPrNZI2FBk/FFFOgeKT6tgvOX O99aVmVKKPhmnKediP6narFzc0EpBbVbSmUrO3F9I18t11aBz38vkmPZgPH8 0G8bgyspYICGlDXOD1laM8MHqrE/gV2sXZXov6elU2+/ouC/GquNq5i/1p1n hWjUUXDRQXtQNAv9w83cZrKeAlXzmYOr6H8KVybh0WsKJMcZc/R5RP2wPyVM GiiQc1lSVMP1pc1twuFqosDPsamAgeybVNaX24z+2mJ/ehL98/bTk6VWrRj/ uJKtXuB8MZ35NV7gLQVRhxLlbNGfK8vDvSvbKZBedadWcb7YVS95yq0T9U3i K69h/lv//rhQSw8FHlXiPxhi/hMf/TIV2Iv9KxTbcAPnqwqzoa37+imIVrfi z0b5DbgYue/fYXzttfySj/nRdlNh1K0BCpLyZNyTc1E+EWOXI4MUBLPKgh2x /3d2juhPDKH+FE9uFsb49OzHYLkHHymYmU0SefgS5VPavvHXYfRvm6/PN2L+ 79bMH+Z8xvwbGDZnjPl2wtCwNnuUgoCEFzKXi1He059SLMfwd1dOyGWMFwy7 wJDNXymw4jKyNSnF9ffvojYVExgP9q7fy4PzCwPfPHCdpMBOaqdlPLLdNT0J xjQFQgVagWtx/n4lemilcYYC0daGvb8g30n06/NnYzzgG9huj5yRJlwqP4/+ 6++0wRK5Ki87vn8B/XVgd408cnfZMe/IJQoSlBMOduL7v9UNmKmtYPxcw32S Xq9ueOujOM7B/LdkJpOH8jHebRG6z0VAteHnuiGU/+BI5pQBN4FvbtXnJrB/ hjParcvfEbDMfCLfjv23W+3PyVpHYG1IW8Ad1I8fr1fUmQ0EgiZDmHI4n48R FnDh20iA919u5fuo3wzJZ/plvASSz12PGUX9V+/RlHPmI3CvQsB0ax59H67H 8JvvCdiVNT9awPHkMeSvvSJIwLh5W2oRjreEeVrKnq0EKlykFk+iPRi5dlvf ECEw0PGTwj60l/M+f4CKKD5/hp/fBe3JL5RX4osYgW2pjYxItN/MBNU+PXEC U7k/e3vHYfupHSWLDAJZzvtlj96lv99zjc+QJJDQvfvjYjS2X/fQjFeKQOgf XsOMPzG+T69t/UeOQHtIQZ0PfR4kQ7vpzI8EUppXxke82Cwz69A3E/IEgj2a a408UD7RmvrgfQQWrQUL6PqBR5u/qxU+QCAsIlZm2ZnNUg/T+jv9JwIHXXuj jjmivtVCKlUUCDDrxk277Onzn9XlTYoEfuoo60tGls7kLrVWIsBX3B/jgsyw 0SyaOUTAauipsxayiFjwy/DDBFzT+09JIm9uqWJuU8Xx0Wdpr0VeH74m97ka 6ktXfOfEBVyvqmk8hyME2OOOPQPI7JmgjLdA4L+fX5v3IH/NrHx6QZMATO+K 6Eb+aMOVuqCF73dSOvEOuU8MHt/UIeAtnZA8itzeEvhA4hiBXPUekxXkhnBW ElOXwH4e/+Mi9H2/6qvxOnoERHeLXlNELptVj+vWJ6AuZtpogZyfFXDXyZBA uvQKfxh9X7BtxW2OEQHn9/yyhcgp2zhRt40JZPOUrI4jJ7Wq3ZQ6jvoT9HGX c2Cz7l73jyg8gePFL2DtjHzzSHmY3kkCsUcSM14gh7KXQ/rNCBjIx8lzob79 nqtedTNHezMcqTNB9rDzC/jOgoCb/mezdGS7tiVv2bMEpEOyXtnS9UwjVDzL LNGeFBLO1iObwpVLv1oREMqIsTjghOvB7EWXy7YEdogoTHyP4yv154JNlSOB h3/LnltywfiqoWxl6kTgU2IQJ4A+DznvfXbYGe2HNdWy7nfMxxfmT/G7oX+c TXTbgfYypDFncNqTQEYM85CjO9rn/EG9MS8C3EqXBbgvsVltOZ7HAn1QP8WD 3UnI1eJsjVQ/AhdmTsR1of09Xpg5OBlM4DD3dp2zaJ8JuQoKoaGo3/oG8TX0 +TV7jwM/hKH9SyUnpiIHd0zvUYsgYPHR/v2ED8b3vCnJiFsEdF9KTNP1mZyD Tyzr3SZQL8DnqerPZl0+kd/FF0OgyXCXxDS9vy4l/KLpLnKPXH46/b3o7OWo 6FgCJXdHFs/Q9V5qOx2P3yPAIwrFdL3ExDglHaEEAml7H5vQ9d9SHO5Jdiai vrVmBQXx+WzlhaW4+2g/XQ+D6O8bi3gtuk4/IHBnp5fIW5SnqreEuf0RgWWj Dq1qut6Xv5/jgxQc/27jFfr+7X6jfm3rNALzHHONRnq/R0JdkqSj/wtvifyE +lioWu1My8T2I1TNVDzZLO4YK6bDcwIX9b2MvOj9H7uqSLkcAn7qutos1Kew IuU4lov2y69tuxWZsT5EO5tJQE9MtuUSvR/YNSThlo/yKvM8G8DxOpCuvXSg AOOBgcs6C+TDPqmd04UEkjLC2e/p85h665kviwm02B8Pd0c22m4f6VWK9udW ViZI1zcdq3NQLsf46N3yF12f1Kp8t/ZSBcpT2bfJE/liVIREeSUB34yELSrI HudGFwOqCVDE7B4fsv9+/U6oIeDeIxQ2ivYVtiYrj7uWQJlOOasdObqNL7Km joBRoJrUm9/p78NdHML+Qf3250U2Ij/xaNLSfYN8/kZrL3KWzj4J3kbU15qC ylnkApHoxTdNBF5frZDZju1VDn/riGxBeW3nm/SR/ykyyfu1Dftj/cQ3HLkt gnlTsJ2Adq3AF/r+8z6LrQ5vO9A/rtX3MbC/n/Z4aP3VhfYrks3jizyx3M44 1UNgbPMuKVpf842Ki6K9GN+vKn4wpM/LP4jt+LcP9SeS+5U+v7rJbS436R3G x88m80dxPIQ0zG9aDqC+t3xOo/eDZYbEtAaHCObrX64v4/jtz/dlpHwk0Fmk snofx/vwtd6F88MEGOP5T46iPRjI3M8dGUV/DK8aovdL3Z0kGZOTBAb/Ip0l dD1K1asLzGn0lxPvztHnAa/xD7Z7zGL8/kOq5iza572cJzfm5wkIBKua0d8T Pw5aa1+yiP687rfkUeRMk/OafssYj3J6Z+vR3vOpWnF1Dr4/unaYPv9UMS29 sLqK7Qtf5URcZbP+B4rpkdE= "]]}, "Charting`Private`Tag#3"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {All, All}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.9294315292248096`*^9, 3.9294315561076117`*^9}, 3.929431687536641*^9, {3.929431797855191*^9, 3.929431808780569*^9}, { 3.92943188380377*^9, 3.929431925054173*^9}, {3.929431957647338*^9, 3.929431972611793*^9}, {3.929432080773629*^9, 3.92943209090066*^9}, { 3.929432148027505*^9, 3.929432182704719*^9}, {3.9294322187169743`*^9, 3.929432225000223*^9}, 3.929432737152521*^9, {3.929432822163561*^9, 3.929432827966612*^9}, 3.92943315703028*^9, 3.92943429434549*^9}, CellLabel->"Out[45]=",ExpressionUUID->"6685a7c2-da6e-4259-8bc4-110fbb619b24"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{"Gesamtenergie", " ", "ist", " ", RowBox[{"erhalten", ".", " ", "Die"}], " ", "Datenpunkte", " ", "beschreiben", " ", "Oscillationen", " ", "in", " ", "einem", " ", "anharmonischen", " ", RowBox[{"Potential", "."}]}], "*)"}], "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.92952540253004*^9, 3.929525416059957*^9}, { 3.929525465340933*^9, 3.929525493590206*^9}},ExpressionUUID->"5779bdd6-6bf6-4afb-a2de-\ ca3d97c76386"] }, Open ]], Cell[CellGroupData[{ Cell["6. Aufgabe: ", "Subsection", CellChangeTimes->{{3.927882830883445*^9, 3.927882834506486*^9}, { 3.928918598326088*^9, 3.928918611469805*^9}, {3.929429798859087*^9, 3.929429799197197*^9}},ExpressionUUID->"e8ae6ba6-96a5-4994-9ba2-\ b6fd7fc43846"], Cell[TextData[{ "Schreiben Sie einen Modul, der in einer gegebenen Zahlenliste die \ komplexen, positiven (", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"\[GreaterEqual]", "0"}], TraditionalForm], "errors" -> {}, "input" -> "\\ge 0", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "d028baa4-6e92-4cca-8edc-4f2608b4b6c6"], ") und negativen Zahlen in separaten Listen zur\[UDoubleDot]ckgibt.\n\ \[CapitalUDoubleDot]berpr\[UDoubleDot]fen Sie ihre L\[ODoubleDot]sung, indem \ Sie sie auf die Nullstellen des unten angegebenen Polynoms anwenden. " }], "Text", CellChangeTimes->{{3.927371053261033*^9, 3.927371084275147*^9}, { 3.9276048923264713`*^9, 3.927604897725162*^9}, {3.92770208010575*^9, 3.927702083311602*^9}, {3.927885022915522*^9, 3.92788505108515*^9}, { 3.927885084140616*^9, 3.9278852227764072`*^9}, {3.928209440488678*^9, 3.928209464348074*^9}, {3.92821334635754*^9, 3.928213357351821*^9}, 3.9289037349319572`*^9, {3.9289171471002417`*^9, 3.928917195386909*^9}, 3.928918613948752*^9, {3.928922952184826*^9, 3.928923002856453*^9}, { 3.929377528758368*^9, 3.92937757465265*^9}, {3.929377698515272*^9, 3.929377967478567*^9}, {3.92937803787433*^9, 3.9293780411845503`*^9}, { 3.929378856842156*^9, 3.92937887138968*^9}, {3.929433172612288*^9, 3.929433176456786*^9}, {3.929433321919341*^9, 3.9294333320177383`*^9}}, Background->RGBColor[ 0.94, 0.88, 0.94],ExpressionUUID->"dcf7572b-ff97-4210-87e7-4fb6d8188322"], Cell[TextData[{ StyleBox["Hinweis: ", FontWeight->"Bold"], "N\[UDoubleDot]tzliche Befehle", StyleBox[" ", FontWeight->"Bold"], StyleBox[" Cases[ ] , Select[ ] , Module[ ] , SolveValues ", FontWeight->"Bold"], "oder ", StyleBox["FindRoot", FontWeight->"Bold"] }], "Text", CellChangeTimes->{{3.9278859822309923`*^9, 3.9278861601663437`*^9}, { 3.92821336589966*^9, 3.928213371978347*^9}, 3.9289037416401987`*^9, { 3.929378873002911*^9, 3.9293789014219713`*^9}, {3.929433350332054*^9, 3.9294333655670424`*^9}, {3.929433451291204*^9, 3.929433457407001*^9}}, Background->RGBColor[ 0.87, 0.94, 1],ExpressionUUID->"e897ea03-112e-47be-b9d0-4c16da5d6297"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"polynom", "[", "x_", "]"}], ":=", RowBox[{ RowBox[{"x", "^", "3"}], "-", RowBox[{"10", "*", RowBox[{"x", "^", "5"}]}], "+", RowBox[{"71", "*", RowBox[{"x", "^", "2"}]}], "-", "26", "-", RowBox[{"5", "*", RowBox[{"x", "^", "4"}]}]}]}], " ", ";"}], " "}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"polynom", "[", "x", "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.927884214317834*^9, 3.927884242034664*^9}, 3.927884319176897*^9, {3.92892301838599*^9, 3.928923096415018*^9}, { 3.928923149846444*^9, 3.928923276385263*^9}, {3.928923350878922*^9, 3.928923408423625*^9}, 3.929377515976323*^9}, CellLabel->"In[46]:=",ExpressionUUID->"4b0e817d-0456-4464-9d3e-9eec51784993"], Cell[BoxData[ GraphicsBox[ InterpretationBox[{ TagBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnk8VV8XxpUMSahIGkRmmedj2ttwLw3GkMiUolDJz1QpQhIloUIhU1Ei RWZnV2Qs8zxGJCTDvdc13ve8f53P93POPnutZ61n7yV87qrlha1MTEwVW5iY /v90EL+nouu9iqu9XXp0X+cqdH6gON8XuoLX/bu/0ZrtCelxNyNxQMdrJk85 NV9wh5lcwwKJP2l402S/b9UFV/jiuKJPx30qznbggrAqkzMM9XIJlDpGwed8 1hk1N+3gTeY3AT5/F/ECtsvp20jW0CWkRbQ7ZwH/dC3yZCerBXxSNZH4wmMe v+wBhxTw47B8RJIz78gczmFqkfrsuwEU4YH6VqkzeH8TLTxUXxt+kI70GBuf wh8wdU7YhijCkdpCITW1SZzLNm+wL1sITsg8UcI/jePoxeN/zhKzYNftXDW5 LT9x49Nno8dN9qGIT5L1PMujOIqN1LV7tw+tzr0+szQ7im9LZT+RwCmAxpxe BZX2juKJ+1vTLRsF0Ae9zC/670fxUpiQuqJ/AFmypJiedhrF2T25Tq1JCiIJ AeHvTDdHcKFta4jrlzCSUfsnk700iB/LKjgXIy2B3OSCg8uGBnGt7S9YdWwk UJo4d/v3ukHcnDYc1XBHAu3mlw+gPR/E/S3kjIN6JdDy8pXPRoaD+JldvYeO hUuiL2Vz1tMJA3hAvKpZeJcUstWZuy2v1o/X9NdYpjnKoDjV220GQv34CJPr 590RMqhJlkvUlqMfP5/ikHT+nQzSFZRrCBnuw7FGFJ+5JoNEGJf3tEf04UXI j/fRU1k0h/6+9u3pxe0E3qgd/iaHwgz/tpYF9uAer+1rD0YooC/Gs2Yqrj34 qtEzwSvPFBCTycyPfJMeHD1g8y/IUUBB1n+aM4/04FGPeUW3Nikgf7eJ+ofN 3XjH81/Pf3MpoouRQ8hFqBufFQmc+BiviE42f3+/vb4TtzO8e9X2sRKKam2W D//Qic+ezbnx9qUSqu9syt980YlXfRdMnytQQqShhryla514vNQnfdIPJaQ7 V5szdKAT11TImlbmUEYKPNUvC6924MrGeqf4g5URn1V+7Bn+dlwtomTn6lkV 9EE8upzE3I5zHm6Z9LqkgsxX3H8p/mvDR5iP09v8VFBUqrAGR10brvnAttYn RgVtTiWMlPu34ZRdszu5cRU0eeum3MHuVvx6yEDoh0Oq6IrZ48QqqRY8bNvh iexWVZRDOT77ZEsLbnUd7XMeUEVjSdvglb4feGFYeCTnpCqy+RXwW/D+D/xd 838HtddUEbjuqBYy9R13cozlo4mqIZ7Mo536r5txjagXhl1+augDrZa7XrQR D3R9wgp3qqOYNxlfdFcacK28PHFmfnXk6RjsV/y9Ac9v2Mn3SUgdiX7TGMjw b8CtJGvtZ5TV0dMnb1/dqq/HfVtPRcWfUUc3VB7rKHvV4fbXtBX709WRzdTl +VxYh797EMSf/EYdKb84ninEV4f/+vqx7thHdTTLvG07V/U3/Kv15/DAGnXk 2OHfOcX9DR94LX5xz6Q60vc565n6sQYXTnoaoSuugQTFMUG+yBp8W//98VVZ DbTWx9cWfbYGf4natr1W1UBFei1q11lqcDfLtrgfhhpIfJf+VqvTX/FPzoFt duc0EMd7iaTta59xV4OBW+7JGih7YOLhn/Bq/LaXb6zppgbqD9qblqJcjft6 r5tkMGOIS9DovcVYFd5eNtT7mx1D/s457WWgCi82k7Q23oMh8oQHf9RqBd5l rTHkKIGhqbl/L6W9y3Br3qyunycxdDBW6MOwYBl+4tOGpqUFhswVLb7GfS/F R5Xi3IusMVT634eJVelSfNNxjNfUEUP36b7STROfcN9F5+LuKxiS3rr60dO+ CDfvUi/Vfoghx0zp2sMcRfj0nLVrQyyG4gztuztKP+Iylk9bjBIwtBpRSdfa +xFPuL/5R+A5hpp2BOtwthXiHyy2HNyTgyGmdwWmKLgQPx9TUyv7FkMqpqNO vnKFeI3jR1nNfAy9iNULHYx+j0vzp6lJFmGoV5o95szDfFzg85MjZ3AMwcuX 3n+efodTBpM+bvmCoZyCxnYp43f48sMZxvMaDF1Xeci/ujUPHyna1ZDdgKH9 urvTkwNz8Uabqj1cHRgKDfnv69buHDx++rafYReGZr50Tngo5+A1D1ofefVg qNLombTW3Cu8Kqp19vEAhhwsDhYNuGbhvSpCQHEcQ7NLVMyvJhNv3hefOvsL Q0FPW3AusUz8u5mhfvIkEf9AaJPeZDquNKFm3fwHQzK3z1oMkNNxSvqvr+Yz GKoQUuvxff0Sv+2X61c3i6GipvZas7ZU/D/tM+nR/zDUyRPRFhqXgtPufdrf N4+hJWtsqPjUC9wvnbt73yKGlEbTKAe6k/D21xm7rlIwZCF2isnsWSLeaWP9 +C4VQ94erJyhts/wA05UixgahgooXiJT/Qn4pVP0BH86hn5gQvIHXsTjcwP9 e21WMDR3u0PT1CEOL9nI7ZVYxdDOmgjyHcHHuFWdRP8Mwba7fbMu4o9wGRX+ AxlrGHr2or/ih95DnElB+/nxdQx1i+t1qNRE4VeS7e0mCOYtfD2dTI7EfY5r 2fpsYOiUFtfWLQ138bldGQkLBMfV+gq4nwjDRT6f5nbdxFCr2YDC9+8huI60 WP03ggWLwmLdXgbhLaKd1QcZGHpeb44rZQfgZx7LL50neN/QobnNXB+84Szz hTSCj453YU8dPPH1sIO8zQSLc3o/k3N3wY34jzHNEBzSKdl54KsJPq9jK7VO sAz3kAeLrAooxfY/YhDcvRCaxkO3BXYezopUgufNJBav+rgBLosN7iGCb8aT Gz1VvAFnQo10CcGbt68/T5P3A9xbo++E/f//HnleHdI3QPcTcV59gpltRnTY xINBzvUrY4tEPl+F7t9L4QkF3Rxas08IDn96xFs9JhxoD11QPEowmbPStm3H PVBb3VD4gdCHLdRaz/P+fTBfrn9ZhuD65TkpFrYH4KRgvmsioW/U5cjdaeEx gOnGdAKNqMerhdhbB+/EApPXPUxGBLu7S7t92owDGmeOR1YT9TU+EmAXppMA PPY9zZwg6i859NXUPOgJcBQ7vLK5jKFpSwf16ZVnQNUp3JKd6JfGnW+Olmgk ga54RRs60V9v62mHwwOSwSeZ6vj+JQx56cayC1JfgCyaeKXfAoZMVgbXp5VT wR+vkVdyRL/KFUktlPikgZFe+aa+OQzRE37OStJfgsLdLoiV6PcyjptdX/wy geVQh33FBIZeyvJ1FBzJAjmsM1ajhL8izAtaX7RkgblLV/mpPzFk9XS8yV/q FegIL6X/HSLqI3zyi/RQDgivSpA5RPi3x3AS54/KBTKWZtdQO4aq3UOqtqm/ AfT8jOBTrRiKfldUOhz7FoRJWK8YNxH9gR0qiDPMB9VQw/UawhDn2ZK84IV8 gFjotLgqwm+3Ld54pRYA/uld1lnlGHIe+2IpEvQenL817v2UOI/kJJdNNroK gaNz4NHS1xhq+OhkWHi/CAhtae1diMKQdq3MV4nRImCS4SzJcw9D77tX9FLV igFzShlJMAxDT1fiQfR4MSBPM6a338TQeVCveUGnBLhsEfwj6IEhRqOCosBC GbhmZMwGSRjyGdwoeGRUDtrknR3tIYYm/zbKsaaWg+hz4ffdtDDUzHNBZul4 BTD589fhpCKGkm2SJL5nVYLOluGdNgcxpDq2RfCOLQ4SKqq3n/ungeTKTy8o 5BITrivj9Ogf4n6Ke1czuoKDQ68PJ5n/0kA70vNUX5ogYPbWmMbap4HWzW0H GXMI/HLplmn6rIGG3hdI4YpfgNpM6r4PsRoozduxRqekBrTYps9uimigF2e3 5z8ZqQE7hn9OVh7UQInGRc/+stUCo4C3M158GihWiMMzxbYWNP98si+TVQOF tBbv2lipBcLxz/dfnFJHLgo7nSq160DicOhL61x1JDJfsaL5pQGIH/1+8Rtx /wd9Nwin/G0AZ9c+C7ES80H3myaufIFG4L3zQ4oqMT9EXRgQEb7WCPYoev51 XVFD8/2rJmxCTSDc7i3fZqsaqq7FMjpuNQPTZ8fFpG+pIbvnJce9sBbg+3hQ 4WqDKioKBF1iF1rA0xf79N5WqSIumzqnkdgWsF/18umeQlX0mafH13KqBZgM z6UxklQRr8FNsxcnWsHqkRu/Yi+populyddDV1tBic3Xq6UsquhYZt93U9t2 UBhLPS+npILm7+a71V5uBxUemtnvRVVQ4sUwhlZYO/jgydwpwq+CpmRlFaXy 20HHJPP2oTVlFFkaksC8rQMYjmiIPa9RRvXfJexLCzrArOjfIeNTysiI7jcl zNYF2F2cTe5cIOZHk93M1OIeYMEXPaPkqIBiXLYvrDT0gOlXm4vKpgqo149p ZHOoB0ReyM2X1FVAHqlz5eysvcA7JcHi7yHi+3+NPgdteoFZF7tTXZk86n0c NmZA6wXD5TWneQrlkEc35XOcWj8QOBeVmPhQBj1y6glRKBkEMkou/3kwSaI6 00M7zXf/BBQ2IYePfwTQX2G+2+3J42A09NS+JbZJ3M/3qMujvZNAZn3v0e42 PtgzyGPpVj8F8kYivrLNSULn69q/2U7OAFV9Xv0BQWX49ah61FeWOfDyWOMH XFYTim+vnMoyngeDb5ZdZiQgXKyT88gwmQdFnUK5ZGUIqyPSZ9Is58HhdYP2 57oQ2my7N5d8dh4c4YxKUbaG8C7DghLrPQ9CjsgO8odC+Iv6mxGUOA84WBJZ cvshzBjbw289NQ8ypF7wpUTowSvpEYmWf+eBldBdJ8HHelDTeUXAfHEe7L9c xJ/4XA+2Dw0fPLE+D161VGT4vteDW/pyj+jxLIBgja7W1j496NwC5GQ1FkDj StUYx1F9eKjSk8QSuQDalgNk5Ov0Ia/A6uqVhwvAzShd7782fcjpH/m+N24B JMedTcob0Ifr8tkH8lIWwNaZbz82/+nD/szhBcuPC0DXeEfY4X0G8Gm0RerL 4QVgknYi2MDNAHLZqy9rqS4CwS0m+mkrBpC1tDYvW3MRbA8yPOi51RBu8Fqd 44aLIO5Vwj7pHYZw9of397Hji0DU5oPinYOGsFH/TeZ950VQEvOb+ljXEN6T PmTeE70ImAMwcbkQQ8i0ujXXZ2wReEWPC7XTDaHzeN9S8O9FoMM87+POMISo +b3uw9lFcGP44JN/LCQYkubY+Zq2CGz4rnP27iZBhmE5Y5BjCejw0vnZZUhw 89E1GyPlJZAj95mrx54EHa8bp1tpLAFmvV7hOBcSrD53eNZFZwmMJAhwAncS vK36/U6Q0RKIPtQifsWHBDf6Jd8V2i+BSX5QejiSBNfFRpkPhi8BaOd+4st7 EjzLXWIqdX8JkOsP2MQXk2Al/WGSWswSeFWvp25dToJBTVryFolLQGYgXevt VxJc835mF5G3BEQalENTu0jQzu5KdnzhEgh2lfWn9JFguQFp/uWnJRDZd6xK c5gEb+xduluBlsD54HdbEydJcLXCtHC+cwnI3ipMjKcR67PF1jf6lkAfjLby WCXWx6yTd4wsAVZNnWGFTRK87vJmUOzPEigdmuV/yEKGdFZWdvuNJbCrlftk yB4ytJ0ftLy4lQJmuQNTO/aSYWnfxxQ/NgqIOXpFfe9+MgzMc1GO3UUBTNzf 6BeFyHDZosqxVowC2mwL+vRlyDC0r2BI9ygFzC+ZJR2TJ0Mul4yzpQoUkK98 dLe2EhmKe9+ze6tFAc0mHj3j6mT4Yfl6n6geBWTfTF1O1CRDnWAv21QyBfj9 exeI6ZChVYyFzWMLCjjREWaorU+Go3yGXRynKcCnDJ1LNSRDzxQ1q/CzFCDb XBs5Qyb2zztgGeBOAUqeSXHkE8T+Klxt814UoKIWfszKhAyTKpjMPXwo4GX2 1fyTZmT4vnHCxOEWBfTe2Ca5YUmG2pa9zd2hRP4Pr3IXW5FhXV/jCfNICrBJ djx+2oYMLV2qGhseUkD17r1fxk+T4fBUwTGDeApI3N7iZHeGDD28M+orEylA W66Es8KODKnLCUZqqRQg3jhfyHKWDDnZbpCkcinAPTjnvq0jGSbGeNVk5BN6 8inFODuRocheJ4ODRRRQyisqb+lMhvkpFl+elBF6vHS3lnUhQ00xQz1unAIs Xfv/LBD8LU8NRdZQQH+MaVfaOSI+FSmwtZECFHujmNRdifgqDlTfbKEAM7/j ViUEXzLg0qF2UoDgfp0yofNkSGlkqrzSTwFlVNZ9/xEcYrmkOTVCAUkF8Ew+ wZz9E2UuExTw8XzAhXaCE116NQamKeBblozYCMGifxpLrOYpwPdqd0gnwQXe VWo/qBRwU3HE+QPBmvSCYqM1Chj8nP0ukOBvwRkqn5moYI/TLTMJgi3ZnnzU ZKWC43nv5KqJ+IZi7ikV7aCC2/k+yjoEX9x7o1B2FxV8aFgnZRH5UVK8FF7v pQKRam/TJSL/EDGnAqGDVOCf/VtFmuAd7yzkkoWpYPzflZ/GhH5PVQzf7ZGg AncXdm0zQt8jlWoyD2WoYJ3rjYwOoX++gdRbViUqqLDXfb7bgQyxpgPSIepE fLTMqy32ZFhjyZW7ok0FK53vHv9H1NO8n0nyP30q4FUV+bNpS4aDLkuvZo2o YOkJ7nCN6Af3PxNibiZUoF6i1NNoTYa36Y0iZ2ypYOyicIAS0V8cIVUZ7Q5U kJL22Quak+ETtvfCJ12phB/vsKiakmHe3ieHwRUq8KJJVbcdI0ON1Huppf9R gRtbb951IyIesRuHlK5TQX+E0iAbiQwHVJwOiIVTQdcaLakbkKHbiir33ftU 4MmfzCJK+Ge+ipN5IoYKhn+0QlvCX9uMyqezkqhgeuplna8KGcqd4SsXLaCC 1+204JsShN8Pzb4LL6KCqQMFbesiZKg/9iX9VxkVZCVKq54n/H7a0/t+Vg0V MM8VtP3aR+h/q8lWtJ8KdFfOozfsRH76GSfDR6jgURaVcWYbkR/rdfjrF6F3 7/vYOQYJvnkkLpn1jwril+8a1hHnVUf6nWURFhrY+tfshMo4CYp/U38qokAD R9WfOvz+RILvo7iiwlRpwHFvjtoocb5qmk3cGtekgbQBUk/lGxI06427kEmi ATlFxR3CqSQYOP1XRcSeBix+pQTHhZFgE1dWx5EIGhBc3xHOfIwEbTpu1IVG 04BhfjabrB4Jjj6zqBiLpYHNLT+qNDASpAgxMjKe00CQy4odTZIEBZXtfI4U 0kAf/WYEGxsJep/m2XVkkIgXqE97VBnCcznyyWI/aaAbl+GwKjKE1iumIlKT NGBiotsu/NYQaj5/qKowTwPJBVPbPBMNIcsIh53utmUwvNmSVHjNECa7sWTa ySyDi/2XYtcFDeGDElEZR8VloM1evkuc1xAGsxsWu6gtg0DlmRGl7Ybw/JvQ uotwGfhL/+GgLRpA+TnGjL/VMvjkJKUoVGsAa/xWVeKDloFn9IjZvKsB/PRN oPrpnWVQrvxVy/C0Aczlx4ySI5YBHVnz3DhuAGPKAs6kxy6Dndd1BaIVDOCZ DcqtgqxlYFwmrADX9OFc+L9vTc3LAE9wCR+L0ocCCb9stx2ig2Ll2wFucXpQ I+zwXt8jdCBX3CLlGqIHbXzsOsYl6MCJobwHu6IH48xbTb4q0YHiEY3d3sf0 IOfOSv1QYzoIefDfVbZNCDfvxssw+dKB0K6bc8iJmI8C9JnWG+nAUCtafOd2 XbjV/VaVZysdzH9OVRzq14FCNqU3BrroQFT34Z/TeTrQQUWOWj5KB727l51P murA7nmB6es0Oiha33dVOkYbNlxa6FgWXgHnVDzLQzc0Yb79y9dLgSsg8tuK 6GCiOlTpEVllvb0CgqpymWxc1WGF5euT+8NWwHShgettWXVYfyx/AT5cAZan +8b6kBocV6/UiklfAZNc4T+Kx1XhPt7eFsnGFSAZ2H20TUAFhjZz0x0OrILY AsyBh6wA2Y3jj18TWgWlzh6N/1gU4KOve1PCxVaBjLVi5N8oefii/JD+W/lV YPzLbJ4SIQdLco4+oBsQXLJHM9tfBs6GGwnFe60C3+MP6sVVJOFpnWDj+qpV MD9Ou7tmLAgHqZPcX76sglaO3C2+QofguXzTnoq6VcATUHkuiHYAeh0WdCto WwXmwlWmWKoADN1SFfZ0YhW89C/kOTHIC/NrV6vP71wDzk1+T7hEWeE2U3/V LQ5rYFSuuLXRkBlFsQ6vr7oQ79eCL9pQWRA3TqqhuK0BocsDTWs57Gi/At+p Ke81gPSsLZ8LcCH53UXeLeEE9xZHKMTyIrvuhbcpeWsg5KeCW8fYYVToePmI 5jrx/6zWc1wjR9G54vlDL7esg1FbPmW8WAbxcvoKsLKtA42bm2c8H8oi/7Ib PO271gEcXjlcCuSRJm/k5iWJdRCUecl1v60i+tKQ0Z9kuQ5+xdTeyxhVQZ0q vXErOevg/CO3ZR4rbXQ32j7GKX8d+OqJ7Slr0UZqY8P3az+uA7rd1bGpEzoo 8dFEyONqYv9Oy1+jJF3kML14RapzHYi76FceEoJoMm3niTOMdTAcFJB/TUIf 0TkMmMusNwBU4GCIeJLR7jmuhC92G8D5RlA6+zsyOtrWL9rstAHkPgj+lvlH Ro7PfMgjlzaAUHHwbxVfI/RVJOM+y+0N0M+2M5Z8xxjFaG/hsXy1AWLScuCj 18eR2BX84AxtAyzeSrqVL2aGLNu01A4lbgL25fs5rIFWiENrx+fKlE0gILI+ aPrKCn3O6j9xNnMTLJJ5ztV0WiGFwOsuz/M3QUimSZ26kjXiOlzyQKB2k7iP PEf1/1mjBi+lcb7FTfBZi/X2Fp/TCLJLxXKdZIBRu47OgWQ7RL9G359vwQDF Hv74lhY7VDBQl21ymgEW3aesbZntkWCBW8WDcwyg5L2L8szLHq1bZ01yXGeA qtxrdFe9s6gk87AO2ysGyFvQsjWiOKArO//VvXrLAH0FHxfDjzoi8YBqS3Ih A/zekUWhnHNECccdLt6tZADEJ5bm1e6IfBaS45k7GGDcXSuj6qMTkrb3EMzs ZQD9wProx7NO6GcNlqs/zAAW9wScmnc7I/PE3uo7fxgg8Hx4idBJZ8S+NeeY 8D8GKPt7OH7hojPCPQM6EYUBVKRpJwbvOiP/LrKT8yoDZO8iz49mOCM5sHea wWCAiIunYhi4M/ofFJrq5w== "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}, {}}, {"WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwVlnk8VV8XxpUMSahIGkRmmedj2ttwLw3GkMiUolDJz1QpQhIloUIhU1Ei RWZnV2Qs8zxGJCTDvdc13ve8f53P93POPnutZ61n7yV87qrlha1MTEwVW5iY /v90EL+nouu9iqu9XXp0X+cqdH6gON8XuoLX/bu/0ZrtCelxNyNxQMdrJk85 NV9wh5lcwwKJP2l402S/b9UFV/jiuKJPx30qznbggrAqkzMM9XIJlDpGwed8 1hk1N+3gTeY3AT5/F/ECtsvp20jW0CWkRbQ7ZwH/dC3yZCerBXxSNZH4wmMe v+wBhxTw47B8RJIz78gczmFqkfrsuwEU4YH6VqkzeH8TLTxUXxt+kI70GBuf wh8wdU7YhijCkdpCITW1SZzLNm+wL1sITsg8UcI/jePoxeN/zhKzYNftXDW5 LT9x49Nno8dN9qGIT5L1PMujOIqN1LV7tw+tzr0+szQ7im9LZT+RwCmAxpxe BZX2juKJ+1vTLRsF0Ae9zC/670fxUpiQuqJ/AFmypJiedhrF2T25Tq1JCiIJ AeHvTDdHcKFta4jrlzCSUfsnk700iB/LKjgXIy2B3OSCg8uGBnGt7S9YdWwk UJo4d/v3ukHcnDYc1XBHAu3mlw+gPR/E/S3kjIN6JdDy8pXPRoaD+JldvYeO hUuiL2Vz1tMJA3hAvKpZeJcUstWZuy2v1o/X9NdYpjnKoDjV220GQv34CJPr 590RMqhJlkvUlqMfP5/ikHT+nQzSFZRrCBnuw7FGFJ+5JoNEGJf3tEf04UXI j/fRU1k0h/6+9u3pxe0E3qgd/iaHwgz/tpYF9uAer+1rD0YooC/Gs2Yqrj34 qtEzwSvPFBCTycyPfJMeHD1g8y/IUUBB1n+aM4/04FGPeUW3Nikgf7eJ+ofN 3XjH81/Pf3MpoouRQ8hFqBufFQmc+BiviE42f3+/vb4TtzO8e9X2sRKKam2W D//Qic+ezbnx9qUSqu9syt980YlXfRdMnytQQqShhryla514vNQnfdIPJaQ7 V5szdKAT11TImlbmUEYKPNUvC6924MrGeqf4g5URn1V+7Bn+dlwtomTn6lkV 9EE8upzE3I5zHm6Z9LqkgsxX3H8p/mvDR5iP09v8VFBUqrAGR10brvnAttYn RgVtTiWMlPu34ZRdszu5cRU0eeum3MHuVvx6yEDoh0Oq6IrZ48QqqRY8bNvh iexWVZRDOT77ZEsLbnUd7XMeUEVjSdvglb4feGFYeCTnpCqy+RXwW/D+D/xd 838HtddUEbjuqBYy9R13cozlo4mqIZ7Mo536r5txjagXhl1+augDrZa7XrQR D3R9wgp3qqOYNxlfdFcacK28PHFmfnXk6RjsV/y9Ac9v2Mn3SUgdiX7TGMjw b8CtJGvtZ5TV0dMnb1/dqq/HfVtPRcWfUUc3VB7rKHvV4fbXtBX709WRzdTl +VxYh797EMSf/EYdKb84ninEV4f/+vqx7thHdTTLvG07V/U3/Kv15/DAGnXk 2OHfOcX9DR94LX5xz6Q60vc565n6sQYXTnoaoSuugQTFMUG+yBp8W//98VVZ DbTWx9cWfbYGf4natr1W1UBFei1q11lqcDfLtrgfhhpIfJf+VqvTX/FPzoFt duc0EMd7iaTta59xV4OBW+7JGih7YOLhn/Bq/LaXb6zppgbqD9qblqJcjft6 r5tkMGOIS9DovcVYFd5eNtT7mx1D/s457WWgCi82k7Q23oMh8oQHf9RqBd5l rTHkKIGhqbl/L6W9y3Br3qyunycxdDBW6MOwYBl+4tOGpqUFhswVLb7GfS/F R5Xi3IusMVT634eJVelSfNNxjNfUEUP36b7STROfcN9F5+LuKxiS3rr60dO+ CDfvUi/Vfoghx0zp2sMcRfj0nLVrQyyG4gztuztKP+Iylk9bjBIwtBpRSdfa +xFPuL/5R+A5hpp2BOtwthXiHyy2HNyTgyGmdwWmKLgQPx9TUyv7FkMqpqNO vnKFeI3jR1nNfAy9iNULHYx+j0vzp6lJFmGoV5o95szDfFzg85MjZ3AMwcuX 3n+efodTBpM+bvmCoZyCxnYp43f48sMZxvMaDF1Xeci/ujUPHyna1ZDdgKH9 urvTkwNz8Uabqj1cHRgKDfnv69buHDx++rafYReGZr50Tngo5+A1D1ofefVg qNLombTW3Cu8Kqp19vEAhhwsDhYNuGbhvSpCQHEcQ7NLVMyvJhNv3hefOvsL Q0FPW3AusUz8u5mhfvIkEf9AaJPeZDquNKFm3fwHQzK3z1oMkNNxSvqvr+Yz GKoQUuvxff0Sv+2X61c3i6GipvZas7ZU/D/tM+nR/zDUyRPRFhqXgtPufdrf N4+hJWtsqPjUC9wvnbt73yKGlEbTKAe6k/D21xm7rlIwZCF2isnsWSLeaWP9 +C4VQ94erJyhts/wA05UixgahgooXiJT/Qn4pVP0BH86hn5gQvIHXsTjcwP9 e21WMDR3u0PT1CEOL9nI7ZVYxdDOmgjyHcHHuFWdRP8Mwba7fbMu4o9wGRX+ AxlrGHr2or/ih95DnElB+/nxdQx1i+t1qNRE4VeS7e0mCOYtfD2dTI7EfY5r 2fpsYOiUFtfWLQ138bldGQkLBMfV+gq4nwjDRT6f5nbdxFCr2YDC9+8huI60 WP03ggWLwmLdXgbhLaKd1QcZGHpeb44rZQfgZx7LL50neN/QobnNXB+84Szz hTSCj453YU8dPPH1sIO8zQSLc3o/k3N3wY34jzHNEBzSKdl54KsJPq9jK7VO sAz3kAeLrAooxfY/YhDcvRCaxkO3BXYezopUgufNJBav+rgBLosN7iGCb8aT Gz1VvAFnQo10CcGbt68/T5P3A9xbo++E/f//HnleHdI3QPcTcV59gpltRnTY xINBzvUrY4tEPl+F7t9L4QkF3Rxas08IDn96xFs9JhxoD11QPEowmbPStm3H PVBb3VD4gdCHLdRaz/P+fTBfrn9ZhuD65TkpFrYH4KRgvmsioW/U5cjdaeEx gOnGdAKNqMerhdhbB+/EApPXPUxGBLu7S7t92owDGmeOR1YT9TU+EmAXppMA PPY9zZwg6i859NXUPOgJcBQ7vLK5jKFpSwf16ZVnQNUp3JKd6JfGnW+Olmgk ga54RRs60V9v62mHwwOSwSeZ6vj+JQx56cayC1JfgCyaeKXfAoZMVgbXp5VT wR+vkVdyRL/KFUktlPikgZFe+aa+OQzRE37OStJfgsLdLoiV6PcyjptdX/wy geVQh33FBIZeyvJ1FBzJAjmsM1ajhL8izAtaX7RkgblLV/mpPzFk9XS8yV/q FegIL6X/HSLqI3zyi/RQDgivSpA5RPi3x3AS54/KBTKWZtdQO4aq3UOqtqm/ AfT8jOBTrRiKfldUOhz7FoRJWK8YNxH9gR0qiDPMB9VQw/UawhDn2ZK84IV8 gFjotLgqwm+3Ld54pRYA/uld1lnlGHIe+2IpEvQenL817v2UOI/kJJdNNroK gaNz4NHS1xhq+OhkWHi/CAhtae1diMKQdq3MV4nRImCS4SzJcw9D77tX9FLV igFzShlJMAxDT1fiQfR4MSBPM6a338TQeVCveUGnBLhsEfwj6IEhRqOCosBC GbhmZMwGSRjyGdwoeGRUDtrknR3tIYYm/zbKsaaWg+hz4ffdtDDUzHNBZul4 BTD589fhpCKGkm2SJL5nVYLOluGdNgcxpDq2RfCOLQ4SKqq3n/ungeTKTy8o 5BITrivj9Ogf4n6Ke1czuoKDQ68PJ5n/0kA70vNUX5ogYPbWmMbap4HWzW0H GXMI/HLplmn6rIGG3hdI4YpfgNpM6r4PsRoozduxRqekBrTYps9uimigF2e3 5z8ZqQE7hn9OVh7UQInGRc/+stUCo4C3M158GihWiMMzxbYWNP98si+TVQOF tBbv2lipBcLxz/dfnFJHLgo7nSq160DicOhL61x1JDJfsaL5pQGIH/1+8Rtx /wd9Nwin/G0AZ9c+C7ES80H3myaufIFG4L3zQ4oqMT9EXRgQEb7WCPYoev51 XVFD8/2rJmxCTSDc7i3fZqsaqq7FMjpuNQPTZ8fFpG+pIbvnJce9sBbg+3hQ 4WqDKioKBF1iF1rA0xf79N5WqSIumzqnkdgWsF/18umeQlX0mafH13KqBZgM z6UxklQRr8FNsxcnWsHqkRu/Yi+populyddDV1tBic3Xq6UsquhYZt93U9t2 UBhLPS+npILm7+a71V5uBxUemtnvRVVQ4sUwhlZYO/jgydwpwq+CpmRlFaXy 20HHJPP2oTVlFFkaksC8rQMYjmiIPa9RRvXfJexLCzrArOjfIeNTysiI7jcl zNYF2F2cTe5cIOZHk93M1OIeYMEXPaPkqIBiXLYvrDT0gOlXm4vKpgqo149p ZHOoB0ReyM2X1FVAHqlz5eysvcA7JcHi7yHi+3+NPgdteoFZF7tTXZk86n0c NmZA6wXD5TWneQrlkEc35XOcWj8QOBeVmPhQBj1y6glRKBkEMkou/3kwSaI6 00M7zXf/BBQ2IYePfwTQX2G+2+3J42A09NS+JbZJ3M/3qMujvZNAZn3v0e42 PtgzyGPpVj8F8kYivrLNSULn69q/2U7OAFV9Xv0BQWX49ah61FeWOfDyWOMH XFYTim+vnMoyngeDb5ZdZiQgXKyT88gwmQdFnUK5ZGUIqyPSZ9Is58HhdYP2 57oQ2my7N5d8dh4c4YxKUbaG8C7DghLrPQ9CjsgO8odC+Iv6mxGUOA84WBJZ cvshzBjbw289NQ8ypF7wpUTowSvpEYmWf+eBldBdJ8HHelDTeUXAfHEe7L9c xJ/4XA+2Dw0fPLE+D161VGT4vteDW/pyj+jxLIBgja7W1j496NwC5GQ1FkDj StUYx1F9eKjSk8QSuQDalgNk5Ov0Ia/A6uqVhwvAzShd7782fcjpH/m+N24B JMedTcob0Ifr8tkH8lIWwNaZbz82/+nD/szhBcuPC0DXeEfY4X0G8Gm0RerL 4QVgknYi2MDNAHLZqy9rqS4CwS0m+mkrBpC1tDYvW3MRbA8yPOi51RBu8Fqd 44aLIO5Vwj7pHYZw9of397Hji0DU5oPinYOGsFH/TeZ950VQEvOb+ljXEN6T PmTeE70ImAMwcbkQQ8i0ujXXZ2wReEWPC7XTDaHzeN9S8O9FoMM87+POMISo +b3uw9lFcGP44JN/LCQYkubY+Zq2CGz4rnP27iZBhmE5Y5BjCejw0vnZZUhw 89E1GyPlJZAj95mrx54EHa8bp1tpLAFmvV7hOBcSrD53eNZFZwmMJAhwAncS vK36/U6Q0RKIPtQifsWHBDf6Jd8V2i+BSX5QejiSBNfFRpkPhi8BaOd+4st7 EjzLXWIqdX8JkOsP2MQXk2Al/WGSWswSeFWvp25dToJBTVryFolLQGYgXevt VxJc835mF5G3BEQalENTu0jQzu5KdnzhEgh2lfWn9JFguQFp/uWnJRDZd6xK c5gEb+xduluBlsD54HdbEydJcLXCtHC+cwnI3ipMjKcR67PF1jf6lkAfjLby WCXWx6yTd4wsAVZNnWGFTRK87vJmUOzPEigdmuV/yEKGdFZWdvuNJbCrlftk yB4ytJ0ftLy4lQJmuQNTO/aSYWnfxxQ/NgqIOXpFfe9+MgzMc1GO3UUBTNzf 6BeFyHDZosqxVowC2mwL+vRlyDC0r2BI9ygFzC+ZJR2TJ0Mul4yzpQoUkK98 dLe2EhmKe9+ze6tFAc0mHj3j6mT4Yfl6n6geBWTfTF1O1CRDnWAv21QyBfj9 exeI6ZChVYyFzWMLCjjREWaorU+Go3yGXRynKcCnDJ1LNSRDzxQ1q/CzFCDb XBs5Qyb2zztgGeBOAUqeSXHkE8T+Klxt814UoKIWfszKhAyTKpjMPXwo4GX2 1fyTZmT4vnHCxOEWBfTe2Ca5YUmG2pa9zd2hRP4Pr3IXW5FhXV/jCfNICrBJ djx+2oYMLV2qGhseUkD17r1fxk+T4fBUwTGDeApI3N7iZHeGDD28M+orEylA W66Es8KODKnLCUZqqRQg3jhfyHKWDDnZbpCkcinAPTjnvq0jGSbGeNVk5BN6 8inFODuRocheJ4ODRRRQyisqb+lMhvkpFl+elBF6vHS3lnUhQ00xQz1unAIs Xfv/LBD8LU8NRdZQQH+MaVfaOSI+FSmwtZECFHujmNRdifgqDlTfbKEAM7/j ViUEXzLg0qF2UoDgfp0yofNkSGlkqrzSTwFlVNZ9/xEcYrmkOTVCAUkF8Ew+ wZz9E2UuExTw8XzAhXaCE116NQamKeBblozYCMGifxpLrOYpwPdqd0gnwQXe VWo/qBRwU3HE+QPBmvSCYqM1Chj8nP0ukOBvwRkqn5moYI/TLTMJgi3ZnnzU ZKWC43nv5KqJ+IZi7ikV7aCC2/k+yjoEX9x7o1B2FxV8aFgnZRH5UVK8FF7v pQKRam/TJSL/EDGnAqGDVOCf/VtFmuAd7yzkkoWpYPzflZ/GhH5PVQzf7ZGg AncXdm0zQt8jlWoyD2WoYJ3rjYwOoX++gdRbViUqqLDXfb7bgQyxpgPSIepE fLTMqy32ZFhjyZW7ok0FK53vHv9H1NO8n0nyP30q4FUV+bNpS4aDLkuvZo2o YOkJ7nCN6Af3PxNibiZUoF6i1NNoTYa36Y0iZ2ypYOyicIAS0V8cIVUZ7Q5U kJL22Quak+ETtvfCJ12phB/vsKiakmHe3ieHwRUq8KJJVbcdI0ON1Huppf9R gRtbb951IyIesRuHlK5TQX+E0iAbiQwHVJwOiIVTQdcaLakbkKHbiir33ftU 4MmfzCJK+Ge+ipN5IoYKhn+0QlvCX9uMyqezkqhgeuplna8KGcqd4SsXLaCC 1+204JsShN8Pzb4LL6KCqQMFbesiZKg/9iX9VxkVZCVKq54n/H7a0/t+Vg0V MM8VtP3aR+h/q8lWtJ8KdFfOozfsRH76GSfDR6jgURaVcWYbkR/rdfjrF6F3 7/vYOQYJvnkkLpn1jwril+8a1hHnVUf6nWURFhrY+tfshMo4CYp/U38qokAD R9WfOvz+RILvo7iiwlRpwHFvjtoocb5qmk3cGtekgbQBUk/lGxI06427kEmi ATlFxR3CqSQYOP1XRcSeBix+pQTHhZFgE1dWx5EIGhBc3xHOfIwEbTpu1IVG 04BhfjabrB4Jjj6zqBiLpYHNLT+qNDASpAgxMjKe00CQy4odTZIEBZXtfI4U 0kAf/WYEGxsJep/m2XVkkIgXqE97VBnCcznyyWI/aaAbl+GwKjKE1iumIlKT NGBiotsu/NYQaj5/qKowTwPJBVPbPBMNIcsIh53utmUwvNmSVHjNECa7sWTa ySyDi/2XYtcFDeGDElEZR8VloM1evkuc1xAGsxsWu6gtg0DlmRGl7Ybw/JvQ uotwGfhL/+GgLRpA+TnGjL/VMvjkJKUoVGsAa/xWVeKDloFn9IjZvKsB/PRN oPrpnWVQrvxVy/C0Aczlx4ySI5YBHVnz3DhuAGPKAs6kxy6Dndd1BaIVDOCZ DcqtgqxlYFwmrADX9OFc+L9vTc3LAE9wCR+L0ocCCb9stx2ig2Ll2wFucXpQ I+zwXt8jdCBX3CLlGqIHbXzsOsYl6MCJobwHu6IH48xbTb4q0YHiEY3d3sf0 IOfOSv1QYzoIefDfVbZNCDfvxssw+dKB0K6bc8iJmI8C9JnWG+nAUCtafOd2 XbjV/VaVZysdzH9OVRzq14FCNqU3BrroQFT34Z/TeTrQQUWOWj5KB727l51P murA7nmB6es0Oiha33dVOkYbNlxa6FgWXgHnVDzLQzc0Yb79y9dLgSsg8tuK 6GCiOlTpEVllvb0CgqpymWxc1WGF5euT+8NWwHShgettWXVYfyx/AT5cAZan +8b6kBocV6/UiklfAZNc4T+Kx1XhPt7eFsnGFSAZ2H20TUAFhjZz0x0OrILY AsyBh6wA2Y3jj18TWgWlzh6N/1gU4KOve1PCxVaBjLVi5N8oefii/JD+W/lV YPzLbJ4SIQdLco4+oBsQXLJHM9tfBs6GGwnFe60C3+MP6sVVJOFpnWDj+qpV MD9Ou7tmLAgHqZPcX76sglaO3C2+QofguXzTnoq6VcATUHkuiHYAeh0WdCto WwXmwlWmWKoADN1SFfZ0YhW89C/kOTHIC/NrV6vP71wDzk1+T7hEWeE2U3/V LQ5rYFSuuLXRkBlFsQ6vr7oQ79eCL9pQWRA3TqqhuK0BocsDTWs57Gi/At+p Ke81gPSsLZ8LcCH53UXeLeEE9xZHKMTyIrvuhbcpeWsg5KeCW8fYYVToePmI 5jrx/6zWc1wjR9G54vlDL7esg1FbPmW8WAbxcvoKsLKtA42bm2c8H8oi/7Ib PO271gEcXjlcCuSRJm/k5iWJdRCUecl1v60i+tKQ0Z9kuQ5+xdTeyxhVQZ0q vXErOevg/CO3ZR4rbXQ32j7GKX8d+OqJ7Slr0UZqY8P3az+uA7rd1bGpEzoo 8dFEyONqYv9Oy1+jJF3kML14RapzHYi76FceEoJoMm3niTOMdTAcFJB/TUIf 0TkMmMusNwBU4GCIeJLR7jmuhC92G8D5RlA6+zsyOtrWL9rstAHkPgj+lvlH Ro7PfMgjlzaAUHHwbxVfI/RVJOM+y+0N0M+2M5Z8xxjFaG/hsXy1AWLScuCj 18eR2BX84AxtAyzeSrqVL2aGLNu01A4lbgL25fs5rIFWiENrx+fKlE0gILI+ aPrKCn3O6j9xNnMTLJJ5ztV0WiGFwOsuz/M3QUimSZ26kjXiOlzyQKB2k7iP PEf1/1mjBi+lcb7FTfBZi/X2Fp/TCLJLxXKdZIBRu47OgWQ7RL9G359vwQDF Hv74lhY7VDBQl21ymgEW3aesbZntkWCBW8WDcwyg5L2L8szLHq1bZ01yXGeA qtxrdFe9s6gk87AO2ysGyFvQsjWiOKArO//VvXrLAH0FHxfDjzoi8YBqS3Ih A/zekUWhnHNECccdLt6tZADEJ5bm1e6IfBaS45k7GGDcXSuj6qMTkrb3EMzs ZQD9wProx7NO6GcNlqs/zAAW9wScmnc7I/PE3uo7fxgg8Hx4idBJZ8S+NeeY 8D8GKPt7OH7hojPCPQM6EYUBVKRpJwbvOiP/LrKT8yoDZO8iz49mOCM5sHea wWCAiIunYhi4M/ofFJrq5w== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-2, 2}, {-133.99994579592402`, 249.92304227439462`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-2, 2}, {-133.99994579592402`, 249.92304227439462`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>], ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, { 4.503599627370496*^15, -4.503599627370496*^15}}]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJwVlnk8VV8XxpUMSahIGkRmmedj2ttwLw3GkMiUolDJz1QpQhIloUIhU1Ei RWZnV2Qs8zxGJCTDvdc13ve8f53P93POPnutZ61n7yV87qrlha1MTEwVW5iY /v90EL+nouu9iqu9XXp0X+cqdH6gON8XuoLX/bu/0ZrtCelxNyNxQMdrJk85 NV9wh5lcwwKJP2l402S/b9UFV/jiuKJPx30qznbggrAqkzMM9XIJlDpGwed8 1hk1N+3gTeY3AT5/F/ECtsvp20jW0CWkRbQ7ZwH/dC3yZCerBXxSNZH4wmMe v+wBhxTw47B8RJIz78gczmFqkfrsuwEU4YH6VqkzeH8TLTxUXxt+kI70GBuf wh8wdU7YhijCkdpCITW1SZzLNm+wL1sITsg8UcI/jePoxeN/zhKzYNftXDW5 LT9x49Nno8dN9qGIT5L1PMujOIqN1LV7tw+tzr0+szQ7im9LZT+RwCmAxpxe BZX2juKJ+1vTLRsF0Ae9zC/670fxUpiQuqJ/AFmypJiedhrF2T25Tq1JCiIJ AeHvTDdHcKFta4jrlzCSUfsnk700iB/LKjgXIy2B3OSCg8uGBnGt7S9YdWwk UJo4d/v3ukHcnDYc1XBHAu3mlw+gPR/E/S3kjIN6JdDy8pXPRoaD+JldvYeO hUuiL2Vz1tMJA3hAvKpZeJcUstWZuy2v1o/X9NdYpjnKoDjV220GQv34CJPr 590RMqhJlkvUlqMfP5/ikHT+nQzSFZRrCBnuw7FGFJ+5JoNEGJf3tEf04UXI j/fRU1k0h/6+9u3pxe0E3qgd/iaHwgz/tpYF9uAer+1rD0YooC/Gs2Yqrj34 qtEzwSvPFBCTycyPfJMeHD1g8y/IUUBB1n+aM4/04FGPeUW3Nikgf7eJ+ofN 3XjH81/Pf3MpoouRQ8hFqBufFQmc+BiviE42f3+/vb4TtzO8e9X2sRKKam2W D//Qic+ezbnx9qUSqu9syt980YlXfRdMnytQQqShhryla514vNQnfdIPJaQ7 V5szdKAT11TImlbmUEYKPNUvC6924MrGeqf4g5URn1V+7Bn+dlwtomTn6lkV 9EE8upzE3I5zHm6Z9LqkgsxX3H8p/mvDR5iP09v8VFBUqrAGR10brvnAttYn RgVtTiWMlPu34ZRdszu5cRU0eeum3MHuVvx6yEDoh0Oq6IrZ48QqqRY8bNvh iexWVZRDOT77ZEsLbnUd7XMeUEVjSdvglb4feGFYeCTnpCqy+RXwW/D+D/xd 838HtddUEbjuqBYy9R13cozlo4mqIZ7Mo536r5txjagXhl1+augDrZa7XrQR D3R9wgp3qqOYNxlfdFcacK28PHFmfnXk6RjsV/y9Ac9v2Mn3SUgdiX7TGMjw b8CtJGvtZ5TV0dMnb1/dqq/HfVtPRcWfUUc3VB7rKHvV4fbXtBX709WRzdTl +VxYh797EMSf/EYdKb84ninEV4f/+vqx7thHdTTLvG07V/U3/Kv15/DAGnXk 2OHfOcX9DR94LX5xz6Q60vc565n6sQYXTnoaoSuugQTFMUG+yBp8W//98VVZ DbTWx9cWfbYGf4natr1W1UBFei1q11lqcDfLtrgfhhpIfJf+VqvTX/FPzoFt duc0EMd7iaTta59xV4OBW+7JGih7YOLhn/Bq/LaXb6zppgbqD9qblqJcjft6 r5tkMGOIS9DovcVYFd5eNtT7mx1D/s457WWgCi82k7Q23oMh8oQHf9RqBd5l rTHkKIGhqbl/L6W9y3Br3qyunycxdDBW6MOwYBl+4tOGpqUFhswVLb7GfS/F R5Xi3IusMVT634eJVelSfNNxjNfUEUP36b7STROfcN9F5+LuKxiS3rr60dO+ CDfvUi/Vfoghx0zp2sMcRfj0nLVrQyyG4gztuztKP+Iylk9bjBIwtBpRSdfa +xFPuL/5R+A5hpp2BOtwthXiHyy2HNyTgyGmdwWmKLgQPx9TUyv7FkMqpqNO vnKFeI3jR1nNfAy9iNULHYx+j0vzp6lJFmGoV5o95szDfFzg85MjZ3AMwcuX 3n+efodTBpM+bvmCoZyCxnYp43f48sMZxvMaDF1Xeci/ujUPHyna1ZDdgKH9 urvTkwNz8Uabqj1cHRgKDfnv69buHDx++rafYReGZr50Tngo5+A1D1ofefVg qNLombTW3Cu8Kqp19vEAhhwsDhYNuGbhvSpCQHEcQ7NLVMyvJhNv3hefOvsL Q0FPW3AusUz8u5mhfvIkEf9AaJPeZDquNKFm3fwHQzK3z1oMkNNxSvqvr+Yz GKoQUuvxff0Sv+2X61c3i6GipvZas7ZU/D/tM+nR/zDUyRPRFhqXgtPufdrf N4+hJWtsqPjUC9wvnbt73yKGlEbTKAe6k/D21xm7rlIwZCF2isnsWSLeaWP9 +C4VQ94erJyhts/wA05UixgahgooXiJT/Qn4pVP0BH86hn5gQvIHXsTjcwP9 e21WMDR3u0PT1CEOL9nI7ZVYxdDOmgjyHcHHuFWdRP8Mwba7fbMu4o9wGRX+ AxlrGHr2or/ih95DnElB+/nxdQx1i+t1qNRE4VeS7e0mCOYtfD2dTI7EfY5r 2fpsYOiUFtfWLQ138bldGQkLBMfV+gq4nwjDRT6f5nbdxFCr2YDC9+8huI60 WP03ggWLwmLdXgbhLaKd1QcZGHpeb44rZQfgZx7LL50neN/QobnNXB+84Szz hTSCj453YU8dPPH1sIO8zQSLc3o/k3N3wY34jzHNEBzSKdl54KsJPq9jK7VO sAz3kAeLrAooxfY/YhDcvRCaxkO3BXYezopUgufNJBav+rgBLosN7iGCb8aT Gz1VvAFnQo10CcGbt68/T5P3A9xbo++E/f//HnleHdI3QPcTcV59gpltRnTY xINBzvUrY4tEPl+F7t9L4QkF3Rxas08IDn96xFs9JhxoD11QPEowmbPStm3H PVBb3VD4gdCHLdRaz/P+fTBfrn9ZhuD65TkpFrYH4KRgvmsioW/U5cjdaeEx gOnGdAKNqMerhdhbB+/EApPXPUxGBLu7S7t92owDGmeOR1YT9TU+EmAXppMA PPY9zZwg6i859NXUPOgJcBQ7vLK5jKFpSwf16ZVnQNUp3JKd6JfGnW+Olmgk ga54RRs60V9v62mHwwOSwSeZ6vj+JQx56cayC1JfgCyaeKXfAoZMVgbXp5VT wR+vkVdyRL/KFUktlPikgZFe+aa+OQzRE37OStJfgsLdLoiV6PcyjptdX/wy geVQh33FBIZeyvJ1FBzJAjmsM1ajhL8izAtaX7RkgblLV/mpPzFk9XS8yV/q FegIL6X/HSLqI3zyi/RQDgivSpA5RPi3x3AS54/KBTKWZtdQO4aq3UOqtqm/ AfT8jOBTrRiKfldUOhz7FoRJWK8YNxH9gR0qiDPMB9VQw/UawhDn2ZK84IV8 gFjotLgqwm+3Ld54pRYA/uld1lnlGHIe+2IpEvQenL817v2UOI/kJJdNNroK gaNz4NHS1xhq+OhkWHi/CAhtae1diMKQdq3MV4nRImCS4SzJcw9D77tX9FLV igFzShlJMAxDT1fiQfR4MSBPM6a338TQeVCveUGnBLhsEfwj6IEhRqOCosBC GbhmZMwGSRjyGdwoeGRUDtrknR3tIYYm/zbKsaaWg+hz4ffdtDDUzHNBZul4 BTD589fhpCKGkm2SJL5nVYLOluGdNgcxpDq2RfCOLQ4SKqq3n/ungeTKTy8o 5BITrivj9Ogf4n6Ke1czuoKDQ68PJ5n/0kA70vNUX5ogYPbWmMbap4HWzW0H GXMI/HLplmn6rIGG3hdI4YpfgNpM6r4PsRoozduxRqekBrTYps9uimigF2e3 5z8ZqQE7hn9OVh7UQInGRc/+stUCo4C3M158GihWiMMzxbYWNP98si+TVQOF tBbv2lipBcLxz/dfnFJHLgo7nSq160DicOhL61x1JDJfsaL5pQGIH/1+8Rtx /wd9Nwin/G0AZ9c+C7ES80H3myaufIFG4L3zQ4oqMT9EXRgQEb7WCPYoev51 XVFD8/2rJmxCTSDc7i3fZqsaqq7FMjpuNQPTZ8fFpG+pIbvnJce9sBbg+3hQ 4WqDKioKBF1iF1rA0xf79N5WqSIumzqnkdgWsF/18umeQlX0mafH13KqBZgM z6UxklQRr8FNsxcnWsHqkRu/Yi+populyddDV1tBic3Xq6UsquhYZt93U9t2 UBhLPS+npILm7+a71V5uBxUemtnvRVVQ4sUwhlZYO/jgydwpwq+CpmRlFaXy 20HHJPP2oTVlFFkaksC8rQMYjmiIPa9RRvXfJexLCzrArOjfIeNTysiI7jcl zNYF2F2cTe5cIOZHk93M1OIeYMEXPaPkqIBiXLYvrDT0gOlXm4vKpgqo149p ZHOoB0ReyM2X1FVAHqlz5eysvcA7JcHi7yHi+3+NPgdteoFZF7tTXZk86n0c NmZA6wXD5TWneQrlkEc35XOcWj8QOBeVmPhQBj1y6glRKBkEMkou/3kwSaI6 00M7zXf/BBQ2IYePfwTQX2G+2+3J42A09NS+JbZJ3M/3qMujvZNAZn3v0e42 PtgzyGPpVj8F8kYivrLNSULn69q/2U7OAFV9Xv0BQWX49ah61FeWOfDyWOMH XFYTim+vnMoyngeDb5ZdZiQgXKyT88gwmQdFnUK5ZGUIqyPSZ9Is58HhdYP2 57oQ2my7N5d8dh4c4YxKUbaG8C7DghLrPQ9CjsgO8odC+Iv6mxGUOA84WBJZ cvshzBjbw289NQ8ypF7wpUTowSvpEYmWf+eBldBdJ8HHelDTeUXAfHEe7L9c xJ/4XA+2Dw0fPLE+D161VGT4vteDW/pyj+jxLIBgja7W1j496NwC5GQ1FkDj StUYx1F9eKjSk8QSuQDalgNk5Ov0Ia/A6uqVhwvAzShd7782fcjpH/m+N24B JMedTcob0Ifr8tkH8lIWwNaZbz82/+nD/szhBcuPC0DXeEfY4X0G8Gm0RerL 4QVgknYi2MDNAHLZqy9rqS4CwS0m+mkrBpC1tDYvW3MRbA8yPOi51RBu8Fqd 44aLIO5Vwj7pHYZw9of397Hji0DU5oPinYOGsFH/TeZ950VQEvOb+ljXEN6T PmTeE70ImAMwcbkQQ8i0ujXXZ2wReEWPC7XTDaHzeN9S8O9FoMM87+POMISo +b3uw9lFcGP44JN/LCQYkubY+Zq2CGz4rnP27iZBhmE5Y5BjCejw0vnZZUhw 89E1GyPlJZAj95mrx54EHa8bp1tpLAFmvV7hOBcSrD53eNZFZwmMJAhwAncS vK36/U6Q0RKIPtQifsWHBDf6Jd8V2i+BSX5QejiSBNfFRpkPhi8BaOd+4st7 EjzLXWIqdX8JkOsP2MQXk2Al/WGSWswSeFWvp25dToJBTVryFolLQGYgXevt VxJc835mF5G3BEQalENTu0jQzu5KdnzhEgh2lfWn9JFguQFp/uWnJRDZd6xK c5gEb+xduluBlsD54HdbEydJcLXCtHC+cwnI3ipMjKcR67PF1jf6lkAfjLby WCXWx6yTd4wsAVZNnWGFTRK87vJmUOzPEigdmuV/yEKGdFZWdvuNJbCrlftk yB4ytJ0ftLy4lQJmuQNTO/aSYWnfxxQ/NgqIOXpFfe9+MgzMc1GO3UUBTNzf 6BeFyHDZosqxVowC2mwL+vRlyDC0r2BI9ygFzC+ZJR2TJ0Mul4yzpQoUkK98 dLe2EhmKe9+ze6tFAc0mHj3j6mT4Yfl6n6geBWTfTF1O1CRDnWAv21QyBfj9 exeI6ZChVYyFzWMLCjjREWaorU+Go3yGXRynKcCnDJ1LNSRDzxQ1q/CzFCDb XBs5Qyb2zztgGeBOAUqeSXHkE8T+Klxt814UoKIWfszKhAyTKpjMPXwo4GX2 1fyTZmT4vnHCxOEWBfTe2Ca5YUmG2pa9zd2hRP4Pr3IXW5FhXV/jCfNICrBJ djx+2oYMLV2qGhseUkD17r1fxk+T4fBUwTGDeApI3N7iZHeGDD28M+orEylA W66Es8KODKnLCUZqqRQg3jhfyHKWDDnZbpCkcinAPTjnvq0jGSbGeNVk5BN6 8inFODuRocheJ4ODRRRQyisqb+lMhvkpFl+elBF6vHS3lnUhQ00xQz1unAIs Xfv/LBD8LU8NRdZQQH+MaVfaOSI+FSmwtZECFHujmNRdifgqDlTfbKEAM7/j ViUEXzLg0qF2UoDgfp0yofNkSGlkqrzSTwFlVNZ9/xEcYrmkOTVCAUkF8Ew+ wZz9E2UuExTw8XzAhXaCE116NQamKeBblozYCMGifxpLrOYpwPdqd0gnwQXe VWo/qBRwU3HE+QPBmvSCYqM1Chj8nP0ukOBvwRkqn5moYI/TLTMJgi3ZnnzU ZKWC43nv5KqJ+IZi7ikV7aCC2/k+yjoEX9x7o1B2FxV8aFgnZRH5UVK8FF7v pQKRam/TJSL/EDGnAqGDVOCf/VtFmuAd7yzkkoWpYPzflZ/GhH5PVQzf7ZGg AncXdm0zQt8jlWoyD2WoYJ3rjYwOoX++gdRbViUqqLDXfb7bgQyxpgPSIepE fLTMqy32ZFhjyZW7ok0FK53vHv9H1NO8n0nyP30q4FUV+bNpS4aDLkuvZo2o YOkJ7nCN6Af3PxNibiZUoF6i1NNoTYa36Y0iZ2ypYOyicIAS0V8cIVUZ7Q5U kJL22Quak+ETtvfCJ12phB/vsKiakmHe3ieHwRUq8KJJVbcdI0ON1Huppf9R gRtbb951IyIesRuHlK5TQX+E0iAbiQwHVJwOiIVTQdcaLakbkKHbiir33ftU 4MmfzCJK+Ge+ipN5IoYKhn+0QlvCX9uMyqezkqhgeuplna8KGcqd4SsXLaCC 1+204JsShN8Pzb4LL6KCqQMFbesiZKg/9iX9VxkVZCVKq54n/H7a0/t+Vg0V MM8VtP3aR+h/q8lWtJ8KdFfOozfsRH76GSfDR6jgURaVcWYbkR/rdfjrF6F3 7/vYOQYJvnkkLpn1jwril+8a1hHnVUf6nWURFhrY+tfshMo4CYp/U38qokAD R9WfOvz+RILvo7iiwlRpwHFvjtoocb5qmk3cGtekgbQBUk/lGxI06427kEmi ATlFxR3CqSQYOP1XRcSeBix+pQTHhZFgE1dWx5EIGhBc3xHOfIwEbTpu1IVG 04BhfjabrB4Jjj6zqBiLpYHNLT+qNDASpAgxMjKe00CQy4odTZIEBZXtfI4U 0kAf/WYEGxsJep/m2XVkkIgXqE97VBnCcznyyWI/aaAbl+GwKjKE1iumIlKT NGBiotsu/NYQaj5/qKowTwPJBVPbPBMNIcsIh53utmUwvNmSVHjNECa7sWTa ySyDi/2XYtcFDeGDElEZR8VloM1evkuc1xAGsxsWu6gtg0DlmRGl7Ybw/JvQ uotwGfhL/+GgLRpA+TnGjL/VMvjkJKUoVGsAa/xWVeKDloFn9IjZvKsB/PRN oPrpnWVQrvxVy/C0Aczlx4ySI5YBHVnz3DhuAGPKAs6kxy6Dndd1BaIVDOCZ DcqtgqxlYFwmrADX9OFc+L9vTc3LAE9wCR+L0ocCCb9stx2ig2Ll2wFucXpQ I+zwXt8jdCBX3CLlGqIHbXzsOsYl6MCJobwHu6IH48xbTb4q0YHiEY3d3sf0 IOfOSv1QYzoIefDfVbZNCDfvxssw+dKB0K6bc8iJmI8C9JnWG+nAUCtafOd2 XbjV/VaVZysdzH9OVRzq14FCNqU3BrroQFT34Z/TeTrQQUWOWj5KB727l51P murA7nmB6es0Oiha33dVOkYbNlxa6FgWXgHnVDzLQzc0Yb79y9dLgSsg8tuK 6GCiOlTpEVllvb0CgqpymWxc1WGF5euT+8NWwHShgettWXVYfyx/AT5cAZan +8b6kBocV6/UiklfAZNc4T+Kx1XhPt7eFsnGFSAZ2H20TUAFhjZz0x0OrILY AsyBh6wA2Y3jj18TWgWlzh6N/1gU4KOve1PCxVaBjLVi5N8oefii/JD+W/lV YPzLbJ4SIQdLco4+oBsQXLJHM9tfBs6GGwnFe60C3+MP6sVVJOFpnWDj+qpV MD9Ou7tmLAgHqZPcX76sglaO3C2+QofguXzTnoq6VcATUHkuiHYAeh0WdCto WwXmwlWmWKoADN1SFfZ0YhW89C/kOTHIC/NrV6vP71wDzk1+T7hEWeE2U3/V LQ5rYFSuuLXRkBlFsQ6vr7oQ79eCL9pQWRA3TqqhuK0BocsDTWs57Gi/At+p Ke81gPSsLZ8LcCH53UXeLeEE9xZHKMTyIrvuhbcpeWsg5KeCW8fYYVToePmI 5jrx/6zWc1wjR9G54vlDL7esg1FbPmW8WAbxcvoKsLKtA42bm2c8H8oi/7Ib PO271gEcXjlcCuSRJm/k5iWJdRCUecl1v60i+tKQ0Z9kuQ5+xdTeyxhVQZ0q vXErOevg/CO3ZR4rbXQ32j7GKX8d+OqJ7Slr0UZqY8P3az+uA7rd1bGpEzoo 8dFEyONqYv9Oy1+jJF3kML14RapzHYi76FceEoJoMm3niTOMdTAcFJB/TUIf 0TkMmMusNwBU4GCIeJLR7jmuhC92G8D5RlA6+zsyOtrWL9rstAHkPgj+lvlH Ro7PfMgjlzaAUHHwbxVfI/RVJOM+y+0N0M+2M5Z8xxjFaG/hsXy1AWLScuCj 18eR2BX84AxtAyzeSrqVL2aGLNu01A4lbgL25fs5rIFWiENrx+fKlE0gILI+ aPrKCn3O6j9xNnMTLJJ5ztV0WiGFwOsuz/M3QUimSZ26kjXiOlzyQKB2k7iP PEf1/1mjBi+lcb7FTfBZi/X2Fp/TCLJLxXKdZIBRu47OgWQ7RL9G359vwQDF Hv74lhY7VDBQl21ymgEW3aesbZntkWCBW8WDcwyg5L2L8szLHq1bZ01yXGeA qtxrdFe9s6gk87AO2ysGyFvQsjWiOKArO//VvXrLAH0FHxfDjzoi8YBqS3Ih A/zekUWhnHNECccdLt6tZADEJ5bm1e6IfBaS45k7GGDcXSuj6qMTkrb3EMzs ZQD9wProx7NO6GcNlqs/zAAW9wScmnc7I/PE3uo7fxgg8Hx4idBJZ8S+NeeY 8D8GKPt7OH7hojPCPQM6EYUBVKRpJwbvOiP/LrKT8yoDZO8iz49mOCM5sHea wWCAiIunYhi4M/ofFJrq5w== "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{-2, 2}, {-133.99994579592402`, 249.92304227439462`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{-2, 2}, {-133.99994579592402`, 249.92304227439462`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.928923182658969*^9, 3.928923276674745*^9}, { 3.9289233529319477`*^9, 3.928923408725122*^9}, 3.929378298901808*^9, 3.929419447783949*^9, 3.929429839202365*^9, 3.9294342944194117`*^9}, CellLabel->"Out[47]=",ExpressionUUID->"5210ce92-435b-4064-8faa-7b69d358969b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"nullstellen", "=", RowBox[{ RowBox[{"SolveValues", "[", RowBox[{ RowBox[{ RowBox[{"polynom", "[", "x", "]"}], "==", "0"}], ",", "x"}], "]"}], "//", "N"}]}]], "Input", CellChangeTimes->{{3.927884322401353*^9, 3.927884323330668*^9}, { 3.92892309866848*^9, 3.9289231310595417`*^9}, {3.92892343278334*^9, 3.928923439774498*^9}, {3.9289238716175413`*^9, 3.928923872027211*^9}}, CellLabel->"In[48]:=",ExpressionUUID->"ac365fe7-38e3-4bc1-a47e-5c2aa98f95ca"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.6060668784072288`"}], ",", "0.6216112015341677`", ",", "1.7013389994558246`", ",", RowBox[{ RowBox[{"-", "1.108441661291382`"}], "-", RowBox[{"1.681600096785377`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "1.108441661291382`"}], "+", RowBox[{"1.681600096785377`", " ", "\[ImaginaryI]"}]}]}], "}"}]], "Output",\ CellChangeTimes->{{3.928923112486726*^9, 3.9289231544000597`*^9}, { 3.928923415101109*^9, 3.928923440344983*^9}, 3.928923553238976*^9, 3.928923872505487*^9, 3.929378302651043*^9, {3.9294194406037827`*^9, 3.929419449644472*^9}, 3.929429839228065*^9, 3.929434294444734*^9}, CellLabel->"Out[48]=",ExpressionUUID->"d1c49e05-e031-44b9-93d9-75539ee64e38"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"CleanUp", "[", "liste_", "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"positives", ",", "negatives", ",", "complex"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"complex", "=", RowBox[{"Cases", "[", RowBox[{"liste", ",", "_Complex"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"positives", "=", RowBox[{"Select", "[", RowBox[{"liste", ",", RowBox[{ RowBox[{ RowBox[{"Element", "[", RowBox[{"#", ",", "Reals"}], "]"}], "&&", RowBox[{"#", ">=", "0"}]}], "&"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"negatives", "=", RowBox[{"Select", "[", RowBox[{"liste", ",", RowBox[{ RowBox[{ RowBox[{"Element", "[", RowBox[{"#", ",", "Reals"}], "]"}], "&&", RowBox[{"#", "<", "0"}]}], "&"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Print", "[", "\"\\"", "]"}], " ", ";", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"complex", ",", " ", "positives", ",", "negatives"}], "}"}]}]}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", RowBox[{"CleanUp", "[", "nullstellen", "]"}]}], "Input", CellChangeTimes->{{3.92937801106551*^9, 3.9293781515414143`*^9}, { 3.929378185720767*^9, 3.9293783132024937`*^9}, {3.9293783582078753`*^9, 3.9293783847162*^9}, {3.929378484575995*^9, 3.929378514983014*^9}, { 3.929378628296777*^9, 3.9293786791939783`*^9}, {3.9294194832936497`*^9, 3.929419505879345*^9}, {3.929433189623456*^9, 3.929433204142358*^9}}, CellLabel->"In[49]:=",ExpressionUUID->"c0ceadcb-4b03-412c-b93b-22bc64f4036e"], Cell[BoxData["\<\"Complex, Positive, Negative: \"\>"], "Print", CellChangeTimes->{{3.9293783392307577`*^9, 3.929378385199635*^9}, { 3.929378504598201*^9, 3.929378515425042*^9}, {3.9293786288561773`*^9, 3.929378679683363*^9}, {3.929419438326724*^9, 3.929419450750564*^9}, 3.929419507026218*^9, 3.929429839239894*^9, 3.929433206749254*^9, 3.929434294461857*^9}, CellLabel-> "During evaluation of \ In[49]:=",ExpressionUUID->"0f83f1b4-8df4-4b4b-94a2-da7e5cebcab0"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "1.108441661291382`"}], "-", RowBox[{"1.681600096785377`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "1.108441661291382`"}], "+", RowBox[{"1.681600096785377`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6216112015341677`", ",", "1.7013389994558246`"}], "}"}], ",", RowBox[{"{", RowBox[{"-", "0.6060668784072288`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.929419507028522*^9, 3.929429839242663*^9, 3.929433206750204*^9, 3.929434294463431*^9}, CellLabel->"Out[50]=",ExpressionUUID->"41efed2c-1a64-448d-b72f-7c4470739a4c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{"Alternative", " ", "Syntax"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Cases", "[", RowBox[{"nullstellen", ",", "_Real"}], "]"}], "\[IndentingNewLine]", RowBox[{"Cases", "[", RowBox[{"nullstellen", ",", RowBox[{"_Real", "?", RowBox[{"(", RowBox[{ RowBox[{"#", ">=", "0"}], "&"}], ")"}]}]}], "]"}], "\[IndentingNewLine]", RowBox[{"Cases", "[", RowBox[{"nullstellen", ",", RowBox[{"_Real", "?", RowBox[{"(", RowBox[{ RowBox[{"#", "<", "0"}], "&"}], ")"}]}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.929378327529675*^9, 3.929378333642085*^9}, { 3.929378698693804*^9, 3.92937874447084*^9}, {3.92937879355756*^9, 3.929378835154826*^9}}, CellLabel->"In[51]:=",ExpressionUUID->"2d9d732a-5856-48d5-9715-ca39e7d23c97"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.6060668784072288`"}], ",", "0.6216112015341677`", ",", "1.7013389994558246`"}], "}"}]], "Output", CellChangeTimes->{ 3.9293783341931953`*^9, 3.929378523421423*^9, {3.929378712915749*^9, 3.929378744887424*^9}, {3.9293788188575993`*^9, 3.9293788355415983`*^9}, 3.9294298392620068`*^9, 3.929433212952022*^9, 3.929434294478218*^9}, CellLabel->"Out[51]=",ExpressionUUID->"17220e5b-595c-4a6b-b48c-7894f48a65ec"], Cell[BoxData[ RowBox[{"{", RowBox[{"0.6216112015341677`", ",", "1.7013389994558246`"}], "}"}]], "Output", CellChangeTimes->{ 3.9293783341931953`*^9, 3.929378523421423*^9, {3.929378712915749*^9, 3.929378744887424*^9}, {3.9293788188575993`*^9, 3.9293788355415983`*^9}, 3.9294298392620068`*^9, 3.929433212952022*^9, 3.929434294479046*^9}, CellLabel->"Out[52]=",ExpressionUUID->"c1c0870a-8097-4e47-b994-8dc4bb27a032"], Cell[BoxData[ RowBox[{"{", RowBox[{"-", "0.6060668784072288`"}], "}"}]], "Output", CellChangeTimes->{ 3.9293783341931953`*^9, 3.929378523421423*^9, {3.929378712915749*^9, 3.929378744887424*^9}, {3.9293788188575993`*^9, 3.9293788355415983`*^9}, 3.9294298392620068`*^9, 3.929433212952022*^9, 3.929434294479748*^9}, CellLabel->"Out[53]=",ExpressionUUID->"c44a7c67-a93b-43a8-aa79-b652882356a4"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["7. Aufgabe: Euler Methode", "Subsection", CellChangeTimes->{{3.927702464160159*^9, 3.92770246812077*^9}, { 3.9289186256528997`*^9, 3.9289186284477577`*^9}, {3.929179983074396*^9, 3.9291799839427*^9}, {3.9294312418644733`*^9, 3.929431242765588*^9}},ExpressionUUID->"43cba288-ba28-4e34-a72b-\ 8a11b306f21a"], Cell[TextData[{ " Numerische Methoden zur L\[ODoubleDot]sung von DGLs basieren darauf, \ Ableitungen als diskrete Differenzen zu approximieren. Die einfachste dieser \ Methoden ist das Euler-Verfahren. Betrachten Sie eine DGL erster Ordnung: ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ FractionBox[ RowBox[{ StyleBox["d", "TI"], StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}]}], RowBox[{ StyleBox["d", "TI"], StyleBox["t", "TI"]}]], "\[LongEqual]", StyleBox["f", "TI"], RowBox[{"(", RowBox[{ StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}], ",", StyleBox["t", "TI"]}], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "\\frac{d x(t)}{dt}= f(x(t),t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "bea52b4d-938e-4104-8453-6b9d6d179cc1"], " . Die Ableitung kann als Differenzquotient geschrieben werden ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ FractionBox[ RowBox[{"\[CapitalDelta]", StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}]}], RowBox[{"\[CapitalDelta]", StyleBox["t", "TI"]}]], "\[LongEqual]", StyleBox["f", "TI"], RowBox[{"(", RowBox[{ StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}], ",", StyleBox["t", "TI"]}], ")"}], " ", "\[DoubleLongRightArrow] ", StyleBox["x", "TI"], RowBox[{"(", RowBox[{ SubscriptBox[ StyleBox["t", "TI"], "1"], "+", "\[CapitalDelta]", StyleBox["t", "TI"]}], ")"}], "-", StyleBox["x", "TI"], RowBox[{"(", SubscriptBox[ StyleBox["t", "TI"], "1"], ")"}], "\[LongEqual]", "\[CapitalDelta]", StyleBox["t", "TI"], "\[CenterDot]", StyleBox["f", "TI"], RowBox[{"(", RowBox[{ StyleBox["x", "TI"], RowBox[{"(", SubscriptBox[ StyleBox["t", "TI"], "1"], ")"}], ",", SubscriptBox[ StyleBox["t", "TI"], "1"]}], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "\\frac{\\Delta x(t)}{\\Delta t}= f(x(t),t) \\quad \\implies \\quad \ x(t_1+\\Delta t)-x(t_1)=\\Delta t \\cdot f(x(t_1),t_1)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "cdd941eb-22b2-49af-a4ea-0a2d1c54e96a"], "\nF\[UDoubleDot]r kleine Werte von ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"\[CapitalDelta]", StyleBox["t", "TI"]}], TraditionalForm], "errors" -> {}, "input" -> "\\Delta t", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "73f4a12a-3a5d-4e53-838a-8acd0be936ba"], " kann der Funktionswert ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], "(", SubscriptBox[ StyleBox["t", "TI"], RowBox[{ StyleBox["n", "TI"], "+", "1"}]], ")"}], TraditionalForm], "errors" -> {}, "input" -> "x(t_{n+1})", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "d768db21-5d39-482a-94cc-d529a047eb2c"], " durch ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], RowBox[{"(", SubscriptBox[ StyleBox["t", "TI"], RowBox[{ StyleBox["n", "TI"], "+", "1"}]], ")"}], "\[LongEqual]", StyleBox["x", "TI"], RowBox[{"(", StyleBox["n", "TI"], ")"}], "+", "\[CapitalDelta]", StyleBox["t", "TI"], "\[CenterDot]", StyleBox["f", "TI"], RowBox[{"(", RowBox[{ StyleBox["x", "TI"], RowBox[{"(", SubscriptBox[ StyleBox["t", "TI"], StyleBox["n", "TI"]], ")"}], ",", SubscriptBox[ StyleBox["t", "TI"], StyleBox["n", "TI"]]}], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "x(t_{n+1})= x({n})+ \\Delta t \\cdot f(x(t_{n}),t_{n})", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "b7384af2-d41f-4e57-8e56-c643dc43ed72"], " approximiert werden. Durch iteratives anwenden dieser Relation kann die L\ \[ODoubleDot]sung f\[UDoubleDot]r einen Zeitintervall ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["t", "TI"], "\[Epsilon]", StyleBox["t", "TI"], RowBox[{"[", RowBox[{ SubscriptBox[ StyleBox["t", "TI"], StyleBox["i", "TI"]], ",", SubscriptBox[ StyleBox["t", "TI"], StyleBox["f", "TI"]]}], "]"}]}], TraditionalForm], "errors" -> {}, "input" -> "t \\epsilon t [t_i,t_f]", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "15742bfc-5bd1-4396-bbcb-854830cdde16"], " numerisch bestimmt werden, wenn die Anfangsbedingung ", Cell[BoxData[ FormBox[ RowBox[{ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], RowBox[{"(", SubscriptBox[ StyleBox["t", "TI"], StyleBox["i", "TI"]], ")"}], "\[LongEqual]", SubscriptBox[ StyleBox["x", "TI"], "0"]}], TraditionalForm], "errors" -> {}, "input" -> "x(t_i)=x_0", "state" -> "Boxes"|>, "TeXAssistantTemplate"], " "}], TraditionalForm]],ExpressionUUID-> "b413aa8b-fd76-4c40-93cf-727467f78738"], " bekannt ist. \n\nBetrachten Sie nun die Ihnen bekannte DGL eines \ harmonischen Oszillators an. ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["m", "TI"], OverscriptBox[ StyleBox["x", "TI"], "\:0308"], RowBox[{"(", StyleBox["t", "TI"], ")"}], "\[LongEqual]", "-", StyleBox["k", "TI"], StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "m \\ddot x(t)=- k x(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "2a867f0d-549a-4bac-8118-115bf249d5d8"], " ist eine DGL zweiter Ordnung. Um das Euler-Verfahren anzuwenden, ist es \ praktisch, diese Gleichung als zwei gekoppelte DGLs erster Ordnung f\ \[UDoubleDot]r die Ortskoordinate und die Geschwindigkeit umzuschreiben\n\t1. \ Gl: ", Cell[BoxData[ FormBox[ RowBox[{ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["m", "TI"], FractionBox[ RowBox[{ StyleBox["d", "TI"], StyleBox["v", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}]}], RowBox[{ StyleBox["d", "TI"], StyleBox["t", "TI"]}]], "\[LongEqual]", "-", StyleBox["k", "TI"], StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}]}], TraditionalForm], "errors" -> {}, "input" -> "m \\frac{ d v(t)}{dt}=- k x(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], " "}], TraditionalForm]],ExpressionUUID-> "90c22620-3402-4450-a356-43325b8112e2"], " \n\t2. Gl: ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["v", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}], "\[LongEqual]", FractionBox[ RowBox[{ StyleBox["d", "TI"], StyleBox["x", "TI"], RowBox[{"(", StyleBox["t", "TI"], ")"}]}], RowBox[{ StyleBox["d", "TI"], StyleBox["t", "TI"]}]]}], TraditionalForm], "errors" -> {}, "input" -> "v(t)= \\frac{ d x(t)}{dt}", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "855b6987-c40d-4ee6-883f-198d4febf4d7"], " \nWie im vorherigen Beispiel k\[ODoubleDot]nnen die Ableitungen als \ Differenzquotienten umgeschrieben werden, um die iterativen Relationen f\ \[UDoubleDot]r ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], "(", SubscriptBox[ StyleBox["t", "TI"], RowBox[{ StyleBox["n", "TI"], "+", "1"}]], ")"}], TraditionalForm], "errors" -> {}, "input" -> "x(t_{n+1})", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "721bf034-5c73-4cdc-838c-fdb0413a75b8"], " und ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["v", "TI"], "(", SubscriptBox[ StyleBox["t", "TI"], RowBox[{ StyleBox["n", "TI"], "+", "1"}]], ")"}], TraditionalForm], "errors" -> {}, "input" -> "v(t_{n+1})", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "2c11a44c-eac1-4214-9728-d463e295b099"], " zu bestimmen.\nSchreiben Sie eine Funktion, die die DGL f\[UDoubleDot]r \ einen harmonischen Oszillator mithilfe des Euler-Verfahrens f\[UDoubleDot]r \ beliebige Anfangsbedingungen und Parameterwerte numerisch l\[ODoubleDot]st. \ Vergleichen Sie ihre Ergebnisse f\[UDoubleDot]r ", Cell[BoxData[ FormBox[ RowBox[{ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"\[CapitalDelta]", StyleBox["t", "TI"], "\[LongEqual]", "0.4"}], TraditionalForm], "errors" -> {}, "input" -> "\\Delta t=0.4", "state" -> "Boxes"|>, "TeXAssistantTemplate"], " "}], TraditionalForm]],ExpressionUUID-> "310e3a4b-55c2-4e1c-a2e9-ddc823d2ce17"], "und ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{"\[CapitalDelta]", StyleBox["t", "TI"], "\[LongEqual]", "0.01"}], TraditionalForm], "errors" -> {}, "input" -> "\\Delta t = 0.01", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "b3fc25f4-4301-4cd2-9403-509c42e6b3ce"], " f\[UDoubleDot]r ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], RowBox[{"(", "0", ")"}], "\[LongEqual]", "1"}], TraditionalForm], "errors" -> {}, "input" -> "x(0)=1", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "14118e44-7814-4f9f-8830-4f3aee2dd0e1"], " , ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["v", "TI"], RowBox[{"(", "0", ")"}], "\[LongEqual]", "0"}], TraditionalForm], "errors" -> {}, "input" -> "v(0)=0", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "c8d3feee-4d27-4ef3-9d48-ab526ea1e9f2"], ", ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["k", "TI"], "\[LongEqual]", "1.2"}], TraditionalForm], "errors" -> {}, "input" -> "k=1.2", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "232b36c2-7d56-4622-83bc-1ff46d6acb75"], " und ", Cell[BoxData[ FormBox[ RowBox[{ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["m", "TI"], "\[LongEqual]", "0.25"}], TraditionalForm], "errors" -> {}, "input" -> "m=0.25", "state" -> "Boxes"|>, "TeXAssistantTemplate"], " "}], TraditionalForm]],ExpressionUUID-> "92bbd003-78f6-4a81-aaea-7e6a2233b3c7"], "im Zeitintervall ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["t", "TI"], "\[Epsilon]", RowBox[{"[", RowBox[{"0", ",", "10"}], "]"}]}], TraditionalForm], "errors" -> {}, "input" -> "t \\epsilon [0,10]", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "0249a1ee-81e6-4a62-a957-ead2cfff3f7a"], " mit den analytischen Ausdr\[UDoubleDot]cken f\[UDoubleDot]r ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], "(", StyleBox["t", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "x(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "9b6c9ca7-7589-453b-9768-664c5d5008f1"], " und ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["v", "TI"], "(", StyleBox["t", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "v(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "103a545e-268a-4d48-aef0-f0ed54805f74"], " ." }], "Text", CellChangeTimes->{{3.927702434731071*^9, 3.927702457089232*^9}, { 3.9277051623698893`*^9, 3.927705175989855*^9}, {3.927881004567774*^9, 3.9278810112517967`*^9}, {3.928903691014721*^9, 3.9289036956982594`*^9}, { 3.9289186228721533`*^9, 3.92891862371244*^9}, {3.9291799925609703`*^9, 3.929180322448945*^9}, {3.92918046154911*^9, 3.9291805342562838`*^9}, { 3.929180580306048*^9, 3.929180587304311*^9}, {3.929180634694153*^9, 3.929180763853003*^9}, {3.929180797426957*^9, 3.9291809110120573`*^9}, { 3.929180993630664*^9, 3.929181024693157*^9}, {3.9291810593543158`*^9, 3.9291811046814337`*^9}, {3.929181178299529*^9, 3.929181343512694*^9}, { 3.929181422867154*^9, 3.929181487008458*^9}, 3.9291815809457817`*^9, { 3.92918165309704*^9, 3.9291816542625027`*^9}, {3.929181695985159*^9, 3.9291816987530317`*^9}, {3.9291817313276978`*^9, 3.929181846665105*^9}, { 3.929181910138072*^9, 3.929182007861845*^9}, {3.929182037880314*^9, 3.929182139539394*^9}, {3.929182175211878*^9, 3.9291825982424307`*^9}, { 3.9291829913251143`*^9, 3.929183093882502*^9}, {3.9291831302046328`*^9, 3.9291831839767303`*^9}, {3.9291843760438347`*^9, 3.929184377354128*^9}, { 3.929365408603586*^9, 3.929365428144783*^9}}, Background->RGBColor[ 0.94, 0.88, 0.94],ExpressionUUID->"be039d1d-af75-4238-a10b-1d9e1eb4177e"], Cell[TextData[{ StyleBox["Hinweis:", FontWeight->"Bold"], " N\[UDoubleDot]tzliche Befehle: ", StyleBox["Module[ ] , While[ ], AppendTo[ ]....\n", FontWeight->"Bold"], "Ihre Funktion k\[ODoubleDot]nnte die folgende Struktur haben: \n", StyleBox["Euler[dt_, tstart_, tend_, xstart_, vstart_, k_, m_] := Module[ \ ........ ] ", FontWeight->"Bold"], "\nsodass, sie f\[UDoubleDot]r die angegebene Parameterwahl durch ", StyleBox["Euler[0.01, 0, 10, 1, 0, 1.2, 0.25]", FontWeight->"Bold"], " aufgerufen werden kann, und die Funktionswerte von ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["x", "TI"], "(", StyleBox["t", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "x(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "80ed9926-871b-4360-9d9c-e4a1e1ad9107"], " und ", Cell[BoxData[ FormBox[ TemplateBox[<|"boxes" -> FormBox[ RowBox[{ StyleBox["v", "TI"], "(", StyleBox["t", "TI"], ")"}], TraditionalForm], "errors" -> {}, "input" -> "v(t)", "state" -> "Boxes"|>, "TeXAssistantTemplate"], TraditionalForm]],ExpressionUUID-> "4b09136d-e013-43dc-9787-9f060c7089eb"], " als listen liefern: \n\nlist1= {{ \ t0,x0},{t1,x1},{t2,x2},{t3,x3}.......,{tf,xf}}\nlist2= {{ \ t0,v0},{t1,v1},{t2,v2},{t3,v3}.......,{tf,vf}}\n\n" }], "Text", CellChangeTimes->{{3.929182667092381*^9, 3.929182883714222*^9}, { 3.929182968169322*^9, 3.929182980476203*^9}, {3.929183197492037*^9, 3.929183528766569*^9}, 3.9291835682886744`*^9, {3.9294332472906446`*^9, 3.929433277497389*^9}}, Background->RGBColor[ 0.87, 0.94, 1],ExpressionUUID->"8dde55ba-7f71-4186-8a6b-60b60c8b1d25"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", "DGL", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Eq", "=", " ", RowBox[{ RowBox[{"m", " ", RowBox[{ RowBox[{"x", "''"}], "[", "t", "]"}]}], "==", RowBox[{ RowBox[{"-", "k"}], " ", RowBox[{"x", "[", "t", "]"}]}]}]}], ";"}], " ", "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ "Analytische", " ", "L\[ODoubleDot]sung", " ", "f\[UDoubleDot]r", " ", "den", " ", "sp\[ADoubleDot]teren", " ", "Vergleich"}], "*)"}], "\[IndentingNewLine]", RowBox[{"Analytisch", "=", RowBox[{ RowBox[{"DSolve", "[", RowBox[{ RowBox[{"{", RowBox[{"Eq", ",", RowBox[{ RowBox[{"x", "[", "0", "]"}], "==", "1"}], ",", " ", RowBox[{ RowBox[{ RowBox[{"x", "'"}], "[", "0", "]"}], "==", "0"}]}], "}"}], ",", RowBox[{"x", "[", "t", "]"}], ",", "t"}], "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"k", "->", "1.2"}], ",", RowBox[{"m", "->", "0.25"}]}], "}"}]}]}], "\[IndentingNewLine]", RowBox[{"(*", RowBox[{"Module", " ", "f\[UDoubleDot]r", " ", "Euler", " ", "Methode"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Euler", "[", RowBox[{ "dt_", ",", "tstart_", ",", "tend_", ",", "xstart_", ",", "vstart_", ",", "k_", ",", "m_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"t", ",", "x", ",", "v", ",", "list1", ",", "list2"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"(*", RowBox[{"Initial", " ", "values"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"t", "=", "0"}], ";", RowBox[{"x", "=", "xstart"}], ";", RowBox[{"v", "=", "vstart"}], ";", "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{ "This", " ", "is", " ", "where", " ", "the", " ", "results", " ", "will", " ", "be", " ", RowBox[{"saved", "."}]}], "*)"}], "\[IndentingNewLine]", RowBox[{"list1", "=", RowBox[{"{", RowBox[{"{", RowBox[{"t", ",", "x"}], "}"}], "}"}]}], ";", RowBox[{"list2", "=", RowBox[{"{", RowBox[{"{", RowBox[{"t", ",", "v"}], "}"}], "}"}]}], ";", "\[IndentingNewLine]", RowBox[{"While", "[", RowBox[{ RowBox[{"t", "<=", "tend"}], ",", " ", "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ RowBox[{ "Time", " ", "evolution", " ", "with", " ", "timestep", " ", "dt", " ", "until", " ", "t"}], "=", "tend"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"v", "=", RowBox[{"v", "-", RowBox[{"dt", "*", "k", "*", RowBox[{"x", "/", "m"}]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"x", "=", RowBox[{"x", "+", RowBox[{"dt", "*", "v"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{"Time", " ", "variable", " ", "incrementation"}], "*)"}], "\[IndentingNewLine]", RowBox[{"t", "=", RowBox[{"t", "+", "dt"}]}], " ", ";", " ", "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{ "Add", " ", "the", " ", "new", " ", "values", " ", "of", " ", "x", " ", "and", " ", "v", " ", "to", " ", "the", " ", RowBox[{"lists", ":", " ", RowBox[{"list1", " ", "and", " ", "list2"}]}]}], "*)"}], "\[IndentingNewLine]", RowBox[{"AppendTo", "[", RowBox[{"list1", ",", RowBox[{"{", RowBox[{"t", ",", "x"}], "}"}]}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"AppendTo", "[", RowBox[{"list2", ",", RowBox[{"{", RowBox[{"t", ",", "v"}], "}"}]}], "]"}], ";"}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"list1", " ", ",", "list2"}], "}"}]}]}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"x04", "=", " ", RowBox[{ RowBox[{"Euler", "[", RowBox[{ "0.4", ",", "0", ",", "10", ",", "1", ",", "0", ",", "1.2", ",", "0.25"}], "]"}], "[", RowBox[{"[", "1", "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"v04", "=", " ", RowBox[{ RowBox[{"Euler", "[", RowBox[{ "0.4", ",", "0", ",", "10", ",", "1", ",", "0", ",", "1.2", ",", "0.25"}], "]"}], "[", RowBox[{"[", "2", "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"x001", "=", " ", RowBox[{ RowBox[{"Euler", "[", RowBox[{ "0.01", ",", "0", ",", "10", ",", "1", ",", "0", ",", "1.2", ",", "0.25"}], "]"}], "[", RowBox[{"[", "1", "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"v001", "=", " ", RowBox[{ RowBox[{"Euler", "[", RowBox[{ "0.01", ",", "0", ",", "10", ",", "1", ",", "0", ",", "1.2", ",", "0.25"}], "]"}], "[", RowBox[{"[", "2", "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{"Analytic", " ", "velocity"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Vanalytisch", "[", "t", "]"}], "=", RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{"x", "[", "t", "]"}], "/.", "Analytisch"}], ",", "t"}], "]"}]}], "\[IndentingNewLine]", "\[IndentingNewLine]"}]}]], "Input", CellChangeTimes->{{3.928918657490121*^9, 3.928918806417404*^9}, { 3.928918836625328*^9, 3.9289190487876787`*^9}, {3.928919612666453*^9, 3.9289196491034527`*^9}, {3.928919680264122*^9, 3.928919951092411*^9}, { 3.928919993606996*^9, 3.928920002703704*^9}, {3.9289200339829407`*^9, 3.928920048590745*^9}, {3.928920117667678*^9, 3.928920189712933*^9}, { 3.928920261392058*^9, 3.9289202850328417`*^9}, {3.928920332920257*^9, 3.928920472546863*^9}, {3.928920516065195*^9, 3.928920567837242*^9}, { 3.928920620329009*^9, 3.928920621234502*^9}, {3.928920769013126*^9, 3.928920771432047*^9}, {3.928921131253878*^9, 3.928921133968054*^9}, { 3.928921200210854*^9, 3.928921248080686*^9}, {3.9289212929557133`*^9, 3.928921305218072*^9}, {3.929183599671523*^9, 3.9291836395441504`*^9}, { 3.929183702359542*^9, 3.929183719169053*^9}, {3.929183929291822*^9, 3.929183930436738*^9}, 3.929433295368045*^9, {3.9295255536405563`*^9, 3.929525845650752*^9}},ExpressionUUID->"56a26e98-d1c3-4679-b7d2-\ 78cec8078825"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], "\[Rule]", RowBox[{"Cos", "[", RowBox[{"2.1908902300206643`", " ", "t"}], "]"}]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.928920125774493*^9, 3.928920190134819*^9}, { 3.928920264094722*^9, 3.928920291220375*^9}, {3.9289203775101*^9, 3.928920473195178*^9}, 3.928920523092918*^9, {3.928920554058433*^9, 3.928920568647605*^9}, 3.928920659381885*^9, 3.9289207842506657`*^9, { 3.928921134454924*^9, 3.9289211596318293`*^9}, {3.928921203960662*^9, 3.928921214748467*^9}, 3.928921248565691*^9, 3.928921305743841*^9, 3.929183658561894*^9, 3.929183719541679*^9, 3.929183931315051*^9, 3.92936857791604*^9, 3.929418243998253*^9, 3.9294298392836857`*^9, 3.929434294497951*^9}, CellLabel->"Out[55]=",ExpressionUUID->"f8cc5c51-a02c-4522-981b-a6ba1f356fd4"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "2.1908902300206643`"}], " ", RowBox[{"Sin", "[", RowBox[{"2.1908902300206643`", " ", "t"}], "]"}]}], "}"}]], "Output", CellChangeTimes->{{3.928920125774493*^9, 3.928920190134819*^9}, { 3.928920264094722*^9, 3.928920291220375*^9}, {3.9289203775101*^9, 3.928920473195178*^9}, 3.928920523092918*^9, {3.928920554058433*^9, 3.928920568647605*^9}, 3.928920659381885*^9, 3.9289207842506657`*^9, { 3.928921134454924*^9, 3.9289211596318293`*^9}, {3.928921203960662*^9, 3.928921214748467*^9}, 3.928921248565691*^9, 3.928921305743841*^9, 3.929183658561894*^9, 3.929183719541679*^9, 3.929183931315051*^9, 3.92936857791604*^9, 3.929418243998253*^9, 3.9294298392836857`*^9, 3.929434294508601*^9}, CellLabel->"Out[61]=",ExpressionUUID->"c55eece6-4406-4a52-9597-f1180530ac55"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"Show", "[", RowBox[{ RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"{", RowBox[{"x001", " ", ",", "x04"}], "}"}], ",", RowBox[{"Joined", "->", "True"}], ",", RowBox[{"PlotLabel", "->", "\"\\""}], " ", ",", RowBox[{"PlotLegends", "->", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], "/.", "Analytisch"}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotStyle", "->", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{"Red", ",", "Dashed"}], "]"}], "}"}]}]}], "]"}], ",", RowBox[{"PlotLegends", "->", RowBox[{"{", "\"\\"", "}"}]}]}], "]"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{ RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"{", RowBox[{"v001", ",", "v04"}], "}"}], ",", RowBox[{"Joined", "->", "True"}], ",", " ", RowBox[{"PlotLabel", "->", "\"\\""}], ",", RowBox[{"PlotLegends", "->", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"Evaluate", "@", RowBox[{"Vanalytisch", "[", "t", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotStyle", "->", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{"Red", ",", "Dashed"}], "]"}], "}"}]}], ",", RowBox[{"PlotLegends", "->", RowBox[{"{", "\"\\"", "}"}]}]}], "]"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.9289212777950277`*^9, 3.9289212807130737`*^9}, { 3.928921313683947*^9, 3.928921314119618*^9}, {3.9291837542107773`*^9, 3.9291839243210583`*^9}, {3.9291839570278893`*^9, 3.929184088003303*^9}, { 3.9291842434194937`*^9, 3.9291843154158087`*^9}}, CellLabel->"In[62]:=",ExpressionUUID->"e7320cd0-7c0c-40d5-bef5-ffc9a3f23fab"], Cell[BoxData[ TemplateBox[{ GraphicsBox[{{{}, InterpretationBox[{ TagBox[{{{}, {}, TagBox[{ Hue[0.67, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], LineBox[CompressedData[" 1:eJxV23c8lf/7wHF7772d4zS0aGp3Xe09Pk1Fe9BOSZraCUVpaFFaNDRUlOpd KiRF9t7rzBtJkvhx6fvH7/zTw+PkPvd9Pd+v97lPwV+1de5aBTk5OZGinFzn n///UQd7jaIml+05Cq4Lmpbqt3L/vj4H67lz5wc3chBrc0z8X2woRO/uH7qh 9n/P34Jbv26InuVycPlS5yMSIgearzf+xMFL+vtRsEGu9PDphxxI/us8whO4 4K5jJTj7v+9/Bv7RjsHZ2znQyLm5bbRGDGhtzn33YDYHdLhLL0Hdvd+vSHsO 7F0D43/avwbndBf5jL8yiKHjvwXD9QqCfqky6PzunJvvwK7U3/TtVRmI6fXe w7Qze/QD1slgED0+gND39strfWX/Xv8jzFdzc2iRSeHDz85X+AQhF18rRD6U giadTyJYxTuPfuouhXk0gCTYcuXOIhueFK7Q+X2GSX3YqKYMCVTs6TxgMuwp mzNl/FEJ9KHzTYFlg3dP1B0ggR2dp7ftK7BTQZvX5Ishjs7/G8x9ULtu5kEx yJNDGljf2D8+y04Mt+l60kD57CUf1XgRTC3rfIHvMHXTRrm6pSKQ0vV9hwXR QQZXmoRwJr7zAtKh5NJZd+MAIQyh682A6nMLzTfZCCGPBpTRcd6HQx88rIX9 dP2ZkD4sK71yeC3wO0/HJgtMUzzq7D7UwCeaRxYIhbzAnVNrYP26zkc2dHc+ Fi5OqQZtmk8OKD6f6H1uZjU8mdx5gjngodfnhc+XKlhA88qFpseDnd9MqoLf BJgLl/FG1FJWCddofnkQEiZ18RhSCWNpAeSD+MrnueqRFVBF88wH1W8KmU4W FXCSQAtgdOHaTZony6EfzbcQ9rhdaAj5WQbfUzofhTCyquho/fIy2EnzLoLI +/XHeyaVgnnn5RoVQ/XOx2EzHUrhDc2/GMbNfrRZ2q0EVnYezrUEdPuvrNoo LIKuRkrBdcmmjaPvFcJ8up5SKBGsG3bSrQDukE8puIc/+eHFz4dmur5SKJ5w PcohNxemkVcZCN2OleT658BVut4yGHjojWvoqGyQkV8ZXN8fuShClAlI118O 6+tCF/EuZMBZ8iyHoU+/Du4P6VBJhyuHyiBLQ4XqNHAi3wqwWy19edA4FXxp PhUgChyzr49LCuQTTwV8OpU+asm1z9CX5lUJuUulw1YXJsAB8q8E/XHZetfM PkIaza8SWMzAN8vmvgc7Wg9VENv3oVq74RvwpHlWwZqJxiUPfWIggdZHFWxP PX9wd+0TMKP5VsOY0ObzgtAI2EDrpRoa3ow+diXtMrymeVdDyIWbq84c9wAd Wj81EDvs1d1C7bNsBc2/BnZu8Sw8O/oWe0rrqQYm/c6MeuXxiCmRRy34Pp/9 UOG/52whedRCw9CDnierX7EI8qiFAn6r/MpR71gLedRCVPWiUwcUP7AZ5CGE lndnWiYmfWKh5CEEdHQbsMIvidWRhxAiryRt9pr6hY0jDxGoJR6eNlD5GztH HiIQTZRVhS5LY9XkIQK/LMPnN2K/s2HkIYbd9/k6u/QymF/XBgSCENUnjWsz WSF5iGFkzLq7dbFZzIE8JHBg58upY9Vz2EHykIBRtceENwtzWTp5SOBcgva1 kTfyWDfykELFGduY4Np85kUeUghQnLH4Wt9ClkQeUji7ZeTT/puLmAV5yGDi jANLe9wrZpvIQwb91q9xX1RRwt6ShwzKNVffnxVQyvTIg4NR60sMhd3K2Cry 4MDItW8/97gy9ow8OLCzN9r9cnY5U/z3vvFOQfImuaycda2vOrBd813Nz6OC dfVfB8W3ix9VtVWwrvVWB5cjF85POVnJ7pJXHeD4xMq+BlWsa/3VgUxgF9Z0 sYp17Rd1sF0xxcDcspp1rcd6uJR4w+7olWo2nTzrIWn9DxV78xrWtT7r4Yyr 5+yfwTWsa3+ph0mD+VWFmrWsa73WQ8lCC620g7WMI556yPfesfZdQy3rWr8N 0CPqV13YSiHr2o8a4HhOmc7Kr0LWtZ4bYIHTyUNNQ0QsmNZDAzTXy2+dd0XE utZ3AxS4PFm18a+Ide1fDTD2Xdasga5i1rXef8DHYPnTV2PEbCitlx/w89vJ ylBdyb/1/wO0p9ccclgjYV373Q+Y1qihMPa55F8PP6BbxK0tKQpSVkDr6QcM v+iKiTOk//pohDVK7cvtg6Wsa39sBMdRl3vWZEn/9dIIPjdOr/5jJGM+5NEI ilFB85bOkf3rpxHiEq7eV/aVsa79tBGuJRSek8bJ/vXUCAKBT5SORMYE5PET 5gT56Kw24/719RNOaa4cV4Uc69p/f4KXU97soLXcv95+whnJpufLj3MskTx+ wmO5tg2zb3L/+vsJAXrTyl1ec6xrv24C/eVLVA9/5/712ARBdyuRlXNsI3k0 QWPR1W36ddy/Ppvg1/ddP7x+c6xrf28Cs4fFN2Rt3L9em+B4uLBmpFwd0yWP X9BnjPJMg47nu/r9BfgnZ83bXxzrej/4BVpLFhfvk3L/ev4Fp0b3ap1VwrFo 8vgF1sL/9jl95f71/QtGD9APGRLDMWXyaIYk37OKs69x/3pvBocfl6THfDi2 iDyaoUe1bXvRUu5f/81g07N4icswjkWSRzNce/r1qoIu928/aAbfN+fzcstk 7A+Nrxlsy8XXKh7L/u0Pv2FRQJXUfp+MzSSP39D+asSER+Nl//aL3/Cn754z +1VlLIw8fsMlQ8eRVxKl//aP35CxptlC76iU1ZPHb7AUndlfOUr6bz9pAcXe qXx+g4SNJ48WKJjhOzT1puTf/tICBja7lzX/J2HnyaMF8mYa3L7TKv6337TA WLPRJypvilkNebTAI2996evJ4n/7zx8YaODTa2StiA0njz9Q2FTbvOGY6N9+ 9AfEu5/5ONuKmD95/AHrEV+m6L0Q/tuf/oBFsN6EsKlCVkQef8D7TvJHg/xa pkIerTDfod3H262WOZJHK6jM/OhXXF/DnMmjFWpPH3Oet7uGHSKPVrg7f/TL qr/V7B55tEJ9UXjOLZ9qlkEerZDUb+bQ621VrJU8WsFE8cvTmj1VrDt5/IVD /Me7/Rsr2Szy+AtveoboXN1YyXaRx19oHmA7sXdpBbtOHn/B3jcNJs+tYJ/J 4y/MvKS5RSm+nDWQx18oO1ZycodjObMkjzbI3ld0/s7lMjaBPNog2rE8/5Fi GdtMHm2w8mZ21Y0NpewCebTBuynfNWzDShgjjzboNsMr0HRtMasljza4e9+6 bl7PIqZPHu2gtyhh2J+qAjaCPNrB5SivevCNfLaaPNqh8kR0qf3iPBZAHu3Q f1PTrnbtXPacPNrhdoXL0jKWzYrJox3qHeeG/dqS9e/9Qw4PXB16a6NlJjOl 65HDS70ndHf7lM667p/lcInu+l5Gm7+zrg8IHc/f6iF3zSCNdd2Py2FU8VNv 501fmRtdrxxue/t3ad6jZNZ1fy+HvXIqPxjUJTI63UA5nOU2ubtLv0+s6/OC HK4KClis7h7Puj5PyKG6KWcoRMa+kK8cxl+rmFn78CUrofnIYaMw5BUzfcZ+ kLccmpXU9hvT9oCp0rzk0XyadsGmzzeYJfnL45zSqaqPp/oxR5qfPDZMmTH7 9PnDMJ7WgzxmiXWUx70Mg0V0gvK4cEWlt1j/Pmyk9SGPK4rXD6jnR4MPzVce fbd4JJ+NjYVgWi/yeGz1x7jeM97CXZq3PPLPX0hRkr2HOFo/8lj7/POQd9Ef IZUuWB5j/o5eXeeVCBW0nuRRtzhuy5ihyfCrvfMhj6mbWcq8xhTQJA8F3FFm sSj/YSrYkocCJk5O6PN2wHcYRB4KiJcFU7f7pcNk8lBA9fND7EtKM8CFPBQw /tbQ5/mDs2AreSjgLLNRvUYez4Yj5KGAfebO0s3JzIGL5NHxdY3f1GO8PLhP Hgo4SaOfifX6fGDkoYDBd4KMvKIKIIM8FLD6pP0097pCqCEPBfyt6N4zxaEY /mR3XrAinl0eFrBnfcd9PXko4upZa916zCkFAXkooq/IftlpYSkMJQ9FFC8u mlN+sAymk4cipg3tflfXpByWk4ciOuZN11KKLIcd5KGIO+uOeTwcXgEnyEMR tS730mtJrIAr5KGIBf5FG3PnVcIj8lBEdQGbP7SoEj6QhyK6a/kIlddUQQ55 KKLVRM9Lg2qrQEweiogDb/d4vL4a2h92HlAJdwcm3N1YWw2G5KGEsT8d/Rau qYGe5KGEN19/Cl5ZVAMjyUMJPVtyKvfPq4XZ5KGEO92afl9NqIXV5KGEIeLY h4+dhLCLPJRQP3TfiPs3heBPHko4Qc54lI+2CMLIQwmTx3g8sfUUQTR5KGHK hCFtPjkiSCQPJdyydZIkeKgYCshDCf0eT384+5wYOPJQxuP1vMK7UjEokocy 3vUdfeDMeAmYkocypp/TVla40PH5mTyUcarxmNlcpQSAPJQx5NyfyNn9Oz6P k4cyngRBurm3FNzIQxnDx637OeG1FPaShzIum7Y8OqlVCoHkoYzqSpdtrg2X wU3yUMaSAwFvXm2XQQx5KGP8rMP+FhEy+EIeyvhk3u7fz/NkUEIeyvhNo052 XJWDH+ShguGzbyefGMCBKnmooIHX1NXRiziwJA8VHH6Xp6a8hwNH8lDBEZsv HPIO4WA8eahglUu8vkY0B4vIQwUrPhV5vvjMwUbyUMHmrffK9hRy4EMeKvh4 SLL6AjEHweShgq/PqVqMb+LgLnmooKFJ4KvxfzmIIw8VrEwIUO3TcZ+eSh4q uLyvaszudg4qyEMVXZZt/BrVwsGvo50DVEUfb3Xhz3oONMlDFYcOGGc1p4oD W/JQxU3C+sa3mRwMIg9VLEuCfRPecTCZPFTR/tlSp4q7HLiQhyoqdxtuF+rP wVbyUMXGGquX3hs5OEIequhdMl7mNZmDi+Shiv4xrg7XbDm4Tx6qeCyubVnd Dxkw8lDFgGTd4p0fZZBBHqq476jloUFnZFBDHmqo+uHKOcclMvjj0nmCanh5 58CCbbYy0CUPNXRtzgxoK5WCgDzUcLuccEFpqBSGkocarh0+b6HNYilMJw81 dHmyi/deVwrLyUMNjwzqG/s9XgI7yEMNS59cPbN4uwROkIcaji/jB62ykcAV 8ug4n74ayr8SxPCIPNTwDX9BFH+TGD6QhxrG+q98LtUWQw55qOOP2acfrnsg AjF5qOO+md/OhkwWQfvATg91tFvumBRYIgRD8lDHl0/nmyz2FEJP8lDHjFuV kfIqQhhJHuq4dK5I/+K5jv7JQx3VDPuM6cnr6J881FGqt23/u4ga2EUe6jhh 0Me9Hg414E8e6ngk+A5OfVINYeShjiHPB/RbNKAaoslDHRe8GdpyL6oKEslD HX0L572Y36sKCshDA/c51X9Yc6MSOPLQwBavyTlik0pQ7PoHP7RyndnYcrIC TMlDA/123Nh0s6Uc+pCHBhbOWF/U5F4OQB4aaL2mZz/VrDKYRx4aeFjN92T1 mDJwIw8NPHK0+9q7d0phL3loYNjX8TtdtUohkDw0cICK2vIBpcVwkzw0sFGV F1h8swhiyEMDl33Zt7hmdSF8IQ9NzOi9THcHrwBKyEMTy4vfb43My4Mf5KGJ r/sfCn8amAuq5KGJtskrB8WMywFL8tBEbrSFdmlDFjiShyaOqJ7mufB6Jown D01Me75RYcL0DFhEHprYcPXR9fQf32EjeWhiDb/4cN/LaeBDHprYGDp5QvO+ bxBMHpr4Z9izrbnvv8Bd8tBEg7LT22YrfoY48tDEbtmPLkePTYBU8tDCrO5h 4S77P0AFeWihUm/p2dAX7+CXeqeHFpbUyB25WxAHmuShhTLRs5O3J70AW/LQ wm6eEenVUY9hEHlo4QC1uZecet+ByeShhSOvKF1NqTkPLuShhSvOik3C65Bt JQ8tnFK41CSh6QI7Qh5aaLSy0vXykzvsInlo4Z2T3auPNDxm98lDCwfv/OnT 3e8FY+Shjb1nRugp2L5mGeTR8fUKA4Uhue9YDXlo441jh81zQj+wP6WdB9TG ig06rbqrE5gueWhj04lf4b7dPjMBeWjj0/Nqy0TlX9hQ8tDGMb6jiouvfWPT yUMbe6T05fneS2PLyUMbnx1n/kZK6WwHeXR8/5j0kRtcMtgJ8tDG/64oyS1/ nMmukIc2Hp70uSFJIZs9Ig9tvFPmf+DA3Bz2gTx00L/H11ULw3JZDnnooDR4 8MuewjwmJg8dNFC52PLZsYC10w2qDi69Vq9ovKOQGZKHDjotdLYse1rEepKH DtrE5DSqcMVsJHno4JP9twoeGZay2eShgxP0Aw6WPyxlq8lDB3l393upTSpj u8hDBydvnqmpW1jG/MlDB9O/nUut2FrOwshDB3csbwrxlK9g0eShi9OnLz76 KKiCJZKHLuYqWTUftq5kBeShiwXi0XeK7lYyjjx00SHS53SUYxVTJA9dvN66 W67qWRUzJQ9d7BZ379q2odWsD3noYsbrXS5jY6pZ138I6OL2vT2PTR5cw+aR hy4eE6S+2RFVw9zIQxcdC4YoxHSvZXvJQxcPKT68p3C5lgWShy4OGlG0aYqm kN0kD120rDixdM9uISuk69FDe4XRDX6VQlZNPnpo2F9ZcfMMEauj69PDbTvb vxg+EbEW8tLDcXkNsu0GYqZE75d6GOeR4Xlgm5jp0P6mh86JI1J7fxEzM9of 9NDSNSNvk52E2VFfejikd0zBcC8J60vz0EMD7p3viQQJcyJfPZxrnqYww1DK kOajh0UD2vP3u0rZNPLWw+ZLKQZG4VI2n+alh3m7h1irVErZMvLXw/bX8SXT 7WTMneanh8P+nIgucpWx7bQe9FDT0Wjds2AZ20fz1MNqy/kjPifI2HFaH3o4 Z8o6oXGTjAXRfPXwr8eKm+f4HLtM60UPg1er6OFUjt2ieevhdePtsw03cyyK 1o8emqo8bFE/xbFYmr8eHowe0Y0XybF4Wk96mNP7nPPc9xxLIQ89rAk5F3ot i2PZ5KGP375n72qv4lgpeehj3w+KZTsbOCYiD32cn6g/t72FY43koY9vvnu+ vdzOsTZaf/q4KiYsWSBXx9TIQx+fnR38XvkvxwzIQx9LhyRHZP3kmBV56KPP GyuHWBHHepCHPuYMzIiKKuBYf/LQR9sZjYpxSRwbQR4dx5/x4FDJE45NIA99 PPxe8ZfNRY7NIg99XNPrxMN93hxzJg99tDhZ4t66gGOryEMf4xVc14U7cmwT eejjbe9NrjuUOeZFHvrYNlN7j2eOjB0kD328sqjbuvu3ZcyPPPTRXS91jM02 GTtHHvr4pGd4SIaTjIWShz5mHMzfn/5byiLIQx9j3vhstnspZU/JQx+Xb/Ve 8sVTyl6Thz7uUg+6l9VXyhLIQx+vx2wZMq1MwtLIwwAbBx8ZP/CshOWThwFK EosDLoKEVZKHAfofVxx2VChmMvIwQBe127kKQWLWTB4GeOShyxabQWKmQB4G mHpz2urydBHTIg8D7J8Z67dkq4iZkIcB5lZetQ1WEzEeeRjg9f1WH0JChaw3 eRigUlvbHu8BQjaYPAzwRJbhY3hfy8aQhwFmPg7o2zqzlk0hDwPc+mi6xeuc GjaXPAxwak53+dPLapgreRhgQ6v5p4Pl1WwdeRjgRed9t26urmbbyMMAXeVN nVTKq9ge8jDAlpPgFru0ih0lDwOsainbnZxdyU6ThwGedjukMHNmJQshDwO8 sNShes77ChZOHgaotmWHc83ACvaAPDrmqT8sjx9ezl6QhwHe73t5oIFuOXtH Hh3nt/WtV/LuMpZMHob4periX9fyUpZJHoaYXX1nVeGUUlZMHob48/hy5Zgl JayWPAzRIC29Id+2mDWQhyGuPTllzPSyQtZK7zeG6HY8Q8sxrICpkIchynr1 +vFwcT7TIw9DfD3tYx2nl8csyMMQZ/1u2WD9KYd1Iw9DDHyvar/cK5s5kIch BimpTivulsWGkYchlqgKp35My2DjyMMQfRcvbhixJ53NIA9DVO51dckm/ne2 kDwMcf7mj/HKp1LZCvIwxIDmnrPnZqSwDeRhiF5re5kYmSQzT/IwxHtP/4y7 sSCRHSAPQ3T4fHftnLMfmS95GKKW13p375T37Cx5GGLTVQWNMrW37Cp5GKLT td87eDtj2R3yMMRcVYnPsuKn7DF5dFz/wv5/zvvdY6/IwxD3NTwycb4Xyj6S hxEmXdLi++w6yL6RhxGuG71AHOMWALnkYYS3ir4tKZwTDuXkYYSD+C2Bfsce goQ8jFDR8ZXWDJdn0EQeRmjcY5Tn3PqXIEceRrhqa9on+6MMNMjDCPn9jmcH nowHI/IwQjbsQc+Psz6BDXkY4SLPF/2X6CeBPXkYYazTMps/ackwkDw6nl+6 ds+cU19hFHkY4VNDS0sFQRpMIg8jVO0dt2TF/u8whzyMMMpy0qaQrHRYQh5G OG+0n+LBPpmwhjyMMD1MYC09kAVbyMMI/R7dVnyRmg3e5GGEZhA3/4l1Lhwm DyMc6jpK5YV7HgSQhxEWzhq+8crjfLhAHkaYL2gZNvxnAVwnDyMs797g7+ZU BPfIo2M+kXckbTuK4Rl5GGH7ad/5uQ9L4C15GOOgn8svVXuUQhJ5GKPmBc/Y Ao0ySCcPY/x6oywu9kYZFJKHMc7VqzHf6FQO1eRhjDWHJAGlSeVQRx7G+Eb1 nbHq4gpoofsZY3w1MeVvSnUFKJGHMQoiJubxtleCDnkYY7j7rJP1LZVgRh7G ON9Wf4zDoSqwIw9jfHLtu3eCUjX0JQ9jnJb+Q/vesWpwIg9jvL+zucdnxRpA 8jDGz2O3TjDyqYFp5GGM+V7FsO9XDcwnD2O85hE2s2FTLSwjD2MMNHvc5lZS C+7kYYxp1d7jUmcJYTt5GGOL6wl3izgh7CMPYzxwY5TdqG4iOE4eHa9vue1o Tz8RBJGHMVZlKaunSURwmTyM0XKnd1CvGWK4RR7GaHt+4Wr7CDFEkYcxNi6J HvReTgKx5GGCGbp+NsIFEognDxMccMno4fm7EkghDxN8cNMo+/VPCWSThwnu ctZtn49SKCUPE9zutffv/BNSEJGHCSZHlpk+S5ZCI3mY4Ic2mcoGDRm00f2y CZbN3N20ZZIM1MjDBHcf2nk87oAMDMjDBN0vlHyZEi0DK/Lo+Hrkuf/0KmXQ gzxMcGqjpbmWPgf9ycMETSPcrjiN4GAEeZig4pEDn/2WczCBPEzwkYm1ttIh DmaRhwnOvj1xamgoB87kYYJVx97nL4jlYBV5mOCLM8EhPb9xsIk8TLAkwCVT r5QDL/Iwwdz995boyjg4SB4meFo4eQe/mQM/8jDBY2K3soltHJwjDxOM1hfW j5arg1DyMEGHHb8Hf+h4PoI8TNDIX0nT6jcHT8nDFI3GJZqe4Dh4TR6m2BL3 wFe5nIME8jDFoOVnVS6lcZBGHqZ48kbw8/FxHOSThyn63UsYrBbOQSV5mOKl UuE14VEOZORhipbLFI6JV3PQTB6mOH+V+Jc+cKBAHqY47nP2/pUmHGiRhyke uvzWpEQoAxPyMMXn7xJHBL2UAY88TPF76/m8Pcdk0Js8TNG595nFt2fKYDB5 mGKI2PKiiYEMxpCHKZ7KjqvISpfCFPIwxT+jBimLA6UwlzxMUeVBwOBlU6Xg Sh6mOG+smfWwdgmsIw9T3PNzScGhJxLYRh6m+N9f7s+EFRLYQx6miGtd9/hr SuAoeZjiac0stjxaDKfJwxTH8H7dSFkkhhDyMMUnc3esLGoWQTh5dJxP9v2I axdE8IA8zHDllol+5gNE8II8zNDi+n2fpUlCeEceZqjwn6+bl6sQksnDDHeI HI56SGshkzzMsH3sn92ue2uhmDzM0HnnrZkTVWqhljzM0IQ7smrE6RpoIA8z PJOc5j3NsAZaT3cO0Aw3fku9f/R8NaiQhxmmOjVvbTaqBj3yMMMvJ7XPPD9T BRbkYYY+Txz6p2hWQTfyMMNhl/LfzzhSCQ7kYYYf/EWaU5orYBh5mOHNs4cF qRsqYBx5mGG9SfOGH/nlMIM8zLBF+VFgwpRyWEgeZpjwWnpiybMyWEEeZljU djfovXUZbCCPjuOPHttH51gpeJKHGTpyAU53MkvgAHmYoagWkiZdKQZf8jBD o4Vep7otK4Kz5GGG1X2WHFhnXQhXycMMPX0vKw3Oy4c75GGOj0qDm56dyYPH 5GGODzM2nNWfnAuvyMMcJ4622L39dzZ8JA9zPCrYGSkXmQXfyMMcdays91Yt yIRc8jDHwsTNl6bJZUA5eZijo/KytsUR30FCHub42nuRdPSsNGgiD3P8wtMo HFv5FeTIwxyvTRx42sX+C2iQhzl6XzdtsFmfBEbkYY49z93yKL/T8f5PHua4 aZZtVmtZPNiThzl65PoM+2TxDgaShznmv94l3+PmKxhFHubo3GYQvlf7OUwi D3NclrVezksUBXPIwxyLn40fYv/iJiwhD3PkMvY8KmwLgjXkYY59YzfGvIjf ybaQhzkeODtHGFByhXmThzmGGpdH+nSPZIfJwxz7HfEU6fV9ygLIwxxl18KW 9PgQwy6QhznW53hMn7PoDbtOHhY4b+eqMG7He3aPPCxwfKTM0GDER/aMPCyw eLsXxv5NYG/JwwIHbhzX3//tZ5ZEHhaYP2bP5MH7Ulg6eVhgfc/PM5c6pbJC 8rDAJJO9o5yb0lg1eVjgl80xIzfNTmd15GGBQcErR+OdDNayttPDAmsvq/Hv tWQyJfKwQKtSR4ODM7KZDnlYYELl9lMhV3KYGXlY4NPBYWuTa3KZHXlYIER/ SJL0z2d9ycMCbZ8OnpjjVcCcyMMC7w46+m3ly0KG5GGBy15vjl/TXMSmkYcF Npk9l8YOKmHzycMC37G9SVeGlLJl5GGB9iNiBi5NLWXu5GGB62Xf07Tdyth2 8rDAXgs12y+3lrF95GGB81NqXBsCy9lx8rDAxTe3p8rzK1gQeVjgpMe7jsQ8 qmCXycMS3ys94+RHVbJb5GGJf8/+zU79VMmiyMMSi3atnKY3s4rFkoclRkYM u//0exWLJw9LzIsf+PDOvGqWQh6WGPdmoXNhejXLJg9LbBzzW2PC7BpWSh6W KJgfsfdbUg0TkYclDlmgFbcJalkjeVji0mdvhuhF17K2UZ0elh33b7ov7gmE TI08LPHyxm9rHc4ImQF5WOJzucbUU3+EzIo8LFFXeVZ53CoR60Eeljg3zJy7 nyBi/cnDEr86no36r6eYjSAPS8wK3YE3jorZBPKwxGk/tvYLLBazWeRhiRMU Q9z1hkiYM3lY4n2DmDkWvhK2ijwssX7wjSfhORK2iTwssWqK56cwgZR5kUfH 9bp9GaK2ScoOkoclLr9WaZXxWMr8yMMSd6XHqjTXS9k58rDCksfKDVscOz7/ k4cVvvGa+l//9TIWQR5WmBzwWHNImIw9JQ8rfJ3QuN/ru4y9Jg8rTB/gsFfW LmMJ5NHx9aLzMy/25lgaeVjhnWKnmI3/cSyfPKxw15aQhnWeHKskDyvUTJ4V fTSYYzLysMJmlWM93kdxrJk8rFAxy/OHWQLHFMjDCrlPqSNP5nFMizys8IOv +VVdIcdMyMMKd2v/6HOvkWM88rDCtBMLDyxq5Vhv8rDCX93K52jK1bHB5GGF EzxW8GraOTaGPKzQYJW83Oc/HJtCHlaYqOsY//oHx+aShxXOMjBc86GGY67k YYVj/RYvK87h2DrysMLMHIXbuh85to08rJDfu8fdxQ84toc8rHC77NYsFsSx o+RhhQX2qe3jPTh2mjys0ed9c4h4JsdCyMMafTPaPV714Fg4eVhjptZHl+d/ ZOwBeVijuWNgWFmKjL0gD2vs9mlL24TLMvaOPKzxEs/ncdVqGUsmD2vc/6Ln muReMpZJHtYY0DBldItYyorJwxoHXXHJ3HdPymrJwxrjyw4NWbJWyhrIwxpH j/IruWwlZa2GnR7WmN+zMn5ymoSpkIc16vw8jhsOSpgeeVhjFEu21+onYRbk YY1bYwa9GpotZt3Iwxojih2v/9orZg7kYY3N6xLrF9qI2TDysEbdLOi/8o2I jSMPa/QweTrRbrGIzSAPa3zyPPjInXohW0ge1jjYZdCNluNCtoI8rNEg2f5V H3Mh20Ae1jjRL3bG5Iha5kke1pi8vc8wl8G17AB5WGPZZIu4nW9qmC952KDG zYcet8fXsLPkYYMpLunzfidUs6vkYYOfIldFH5xcze6Qhw3mD58wYvqnKvaY PGww3mNvrTtWsVfkYYPeNoMNRLGV7CN52OD6L2xpiUMl+0YeNnhE3u/94vAK lkseNrg3SuHwBsMKVk4eNlj884Cj4HA5k5CHDT6M0rt1XlbGmsjDBt2/z5fP dC5jcuRhg8csh0fVvStlGuRhg9sdXs5v61HKjMjDBneV92C2JiXMhjxssO23 mNuWX8TsycMGr7yarGJ6pZANJA8b1C/qjsOdC9go8rDBjdOUp7Xr57NJ5GGD 443MRpxJymVzyMMG27cu9Dfdl8OWkIcNtsw+ZhbXN5utIQ8bNB06wPR2fibb Qh42eL3ymkH7sQzmTR4d8951v7rBIZ0dJg9b3Hr/yat7WWksgDxscc3Fm803 Gr+xC+Rhi7v1Dz7jjUhh18nDFm+dUz/Qc99ndo88bDF+7uaLWnEJ7Bl52GLG BpfbPX59YG/JwxYLnFfeSun/niWRhy2eG7Tj9f201yydPGxx2l3B20GjYlgh edhi7J0zWaW3nrBq8rDFpOQLSZ9MIlgdedhi3ZfpGPH+EmsRdV6wLa7wF9zN OreBKZGHLWo9HuJaYBUMOuRhi3rC+2atH2+BGXnYokV/115/mx+BHXnY4tKP k0f4nnsOfcnDFlv/4ymLe8WBE3nYoqLCnIg/S98Bkoct/rl5sa6t2weYRh62 OOhESetd4SeYTx62GPPlemzY/SRYRh62GHxCbU3ghi/gTh62ePrB9VBej2+w nTxsUeVKU2zbljQYQz+OwcMr9m39apO+wwfy4eFJ88a+4bwMmEL/XcND7chu uxW8MuErefFwdtEX25KkLJhLt5M8fGs5er+OeQ7kkB8PNyjLj3Nblwuunacr 4OGWltpd7x7nQRl58vDpLdMT9b/yYV3n4Rx4GCv+OyJ9ZCGIyZeHR55NTxyx rwi2dc5nGA+d0jNSFF8Ww0/y5mHAqVXLVBpKYE/nvMbx0Mf4g8Lp4FJoJ38e ntl0a7Vu3zI42jm+GTwc/3LzOc/4MlCnf6/hoT2aWdxfWA6nOy93EQ/ne41/ e722HAzp8ykPDcQeZ8Z7V0BI5+FW8vDh3tHSQ8qVYE334zxs8T/sNS2oEsI7 572x43rbD9kGmFVBT7of5OHpR797OYVWwYPO+e/koY3NoF7D+NUwgN7/ePiV r6Z0+EY1vOjk8OHh5llFTYq2NTCSeudh7/wz56Mu1cC7Tg8/HlbHr/m6Xb8W JtJ646Gg+Vv12OO1kNzpcY6HfWfPPaHdXAuzaf3x8Kba6OjEdULI7PQI5eGP RytTV6ULYTGtRx5es/kQ/n2ECIo7PSJ4yLYMdla9LoLVtD55mBAp8fklL4ba To/ojuPJ6+hfWCGGzbReebhnDW9jTpwYGjo93vAQR/ksemwogV20fnm4uN8r DRN3CbR2eiTysCSitntbrAQO0Xrm4Xf7uphlKlJQoV9n4SFf9nqMwxwp+NP6 7rg+i80Rqy9IQY9+3YOHEW2b5zflSuE8rXcePjnkb1RsKgML+nUDHq7cUd/P cJ4Mwmj98zDohc2S034y6EY/bs5Da5vkxClvZRBJPfCwtDzWcpRMBg7046g8 LL943GOVBQfR1AcPJx9d5vpiHAfDqA8+9pxxp2agGwdvqA8+umRcuphxgoNx 1AcfjSfnrj93i4NE6oOPP0aVZ3m84WAG9cFH5Vzfr+7pHHynPvjYu3rmG68K DhZSH3wUC58FXKrjoID64GOJyrHQ1N8crKA++Hg86U+aaTsHVdQHHyOXNb8d JlcHG6gPPvqVCfcU/uWAoz74uD+HZ774Fwee1AcfV0q8u9dKOPhNffDRVry2 1q+YgwPUBx/N3n3oPj6FA0Xqg49VDaFWhi848KU++FjcKj3+9woH2tQHH42O jbykfICDs9QHH+cFjFVwdOXAlPrg45HzO0X7nTi4Sn3w8X7usR9NWhzwqY+O 8w9KHBpWIoM71Acfj+68MHVflAz6UB98NNh1e+C53TJ4TH3wcc9X3CFFGQyh PvjIeR2SD1SSwSvqg4+vR26fcvCjFID64GPwvB49Px+Uwkfqg48fkt5zHsOl MJX64OOXmB3rjsgk8I364OMG/1XvVK5LYB71wUfLRX7hyrMkkEt98PHEjlM8 v2YxLKU++Dj28K640DAxlFMffIxp375i1ngxuFEffGzy93C7VSECCfXBRx+j xDMPDorAg/rgo5xmrNoOCxE0UR98dM9ucVF6IoS91AcfnR/2Pbh5ghDkqA8+ 7tIY8TUusxaOUR98TJK8am1dWQsa1Acfz5iOtwdJDQRSHx1ex+8kBu2oASPq g489Zg98JNdcDZeoDz622eZrh+6uBhvqg4+9bi7Z6N1cBTepDz6+bJhzJ8yz CuypDz5OWTW5QSCrhIfUBx/Dc2OyjNdWwkDqww59mhXtj+dVQAz1YYcOzqt1 j0+vgFHUhx1OU09q6xFXDu+pDztMfPoyeo99OUyiPuww/mDPwcHBZfCF+rDD Rw4DUg63lsIc6sMOAz1qNF1Xl0IW9WGHH/TV/FYHlcAS6sMOB+0bpO+wsBhK qA87jHDaPXWMWRGsoT7ssH3ixAlx2QUgpD46/v6dPUdSzuTDFurDDv8eCGm8 NDUPflAfduhimy6e3pYD3tSHHU5fYmGr+Tgb/tL9hB2Gl9rdkFueBYepDztc PWRO4QLNTFClPuxwRkH4qcHP0yGA+rBD5nKBJbh+B33qww7nJzV9dFJIgwvU hx0OiF7itmz6V7CkPjrO75o6e346Ga5TH3YYujol8vO3ROhOfdjhr/+s79Zp foJ71EfH/CT7zx6aFA+O1Icd1k09P+Du37fwjPqww7Nm6i77NryE4dSHHcKL bnIDM6PhLfVhh6/X137gvB7AeOrDDg3151m1jr0BSdSHHU6SpE+/08cXZlIf dngwfFL/q9FHWTr10THf0PFFRmuus0XUhx0O1OqhD5fus0Lqww6XZ6b4H14b zVZSH3b4LfvCWsXWWFZNfdjhiKcDZ20PfMs2Uh92GJk+ggvUjWd11Icd6tvc P+uQ9ZHtpD46/Nnz4tEhiayl0+O7HfY60K9+nXMy86E+7FDjoPn4ecZfmRL1 YYelQxZFP/iWyk5SH3aYWXIxSWfcd6ZDfdihzfut8yIup7Ng6sMOj85RDW+u y2Bm1EeH10mrW1kTstg16sMOTx89fMH4Qjazoz7ssP/g8WqBlTnsLvXRMS+l mBKz/nmsL/UhwMD3Z5b7eeezJ9SHAFN7VPaJe1PAnKgPAa7aoT/7SHshi6M+ BKiwNXZM3OhihtSHAGdhYOlI7xL2ifoQ4I23IZO3Lipl06gPAQ7itga+rStl qdSHAJ/7mNU3nyhj86kPASbMWJyjaV3O8qgPAVrOe1NX+aicLaM+BKgrzRiw HStYBfUhwIid7jk3vlUwd+qj4/U1n7ivWlLJpNSHAIP6eb4Mr6hk26kPAa5v 6Cb5b0MV+0V9CPBm0M8dy2VVbB/1IcB+bSUmcVurmTz1IcAVq25x82XV7Dj1 IcAT1m+2Wm+oYZrUhwD72E9ZqVxRw4KoDwFqn66q/etcy4ypDwE2ffY70fyl ll2mPgT4N2maVc1IIbOlPgTosNSgOi5CyG5RHwJsrnU+tt5AxHpRHwIEnU9/ y71FLIr6EOCCfp9iLAtFbBD1IcDHhywPq44Ss1jqQ4D37y8NvhwiZqOpDwEO 83bz/1wvZvHUhwBFse88T06WsMnUhwDd5Jo+pV6SsBTqQ4DFZpWrztZK2H/U hwC/ajZdSxwkZdnUR8f5By8Yvm6vlLlQHwKcmantvpZJWSn1IcALjrzU1+1S tpb6EGCorf/xNaNkTER9dKwn0TiLBTtlbCv1IUB7Cyv/E/dkrJH6EOCZs3dn /yyQsd3UR8e8neQWhKhzrK3z81ChACuaTrZvGMSxI9SHAEeMDO/jvphjatSH AHsGjHXw38uxU9SHAB9uPJ2VeoljBtSHAC9OXbl+4DOOXaQ+OuZ15OX9R8kc s6I+BDh1tSBvQhHHblAfApRp6kZyYo71oD66oWy22ayoJo79HwKX+Z8= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ], TagBox[{ Hue[0.9060679774997897, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], LineBox[CompressedData[" 1:eJxTTMoPSmViYGCQBmIQjQo+2M+aCQI37SVYwvh0N52F8l/ar79YtKD91rP9 JsYg8Nk+3NjguNGpj/sh8j/tQ5wmXmb+/WQ/1CCHDLtXF+eUXbYHKzdmduiz VvmsVvPBPg0M2BzYNl/gUnv8zh6sfSang4DiOR6z0CP2Z8CAx0GFm6vv4/wX +/+DAb+Dg7Zm4cOtH/dD1As6PDyefa6T+fF+iPnCDss+2tW8+Hvd/ixYv4gD l/d84aqnH+zTwfaJOVjNWRPFuvitPSPYeRIOBlfSEngObbWfDTZP0oFdYOUR a89X+03B5kk7NBp2/gzt/bj/PNg8GQfPihdTI7492J8JNk/OoWY6U/3ZzDtQ 8xQcjr18L9Zo/dH+HFi9gkPOr9pebsc3UPMVHRhmpX+cwdZmnwHWr+Sguim9 u+HKa6h9yg5vnq1ety/g435InKg4aCxU/dG/+i7UfhUHh3ab/vlRD+wBZxPD Bw== "]]}, Annotation[#, "Charting`Private`Tag#2"]& ]}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{}, {}, Annotation[{ Hue[0.67, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxV23c8lf/7wHF7772d4zS0aGp3Xe09Pk1Fe9BOSZraCUVpaFFaNDRUlOpd KiRF9t7rzBtJkvhx6fvH7/zTw+PkPvd9Pd+v97lPwV+1de5aBTk5OZGinFzn n///UQd7jaIml+05Cq4Lmpbqt3L/vj4H67lz5wc3chBrc0z8X2woRO/uH7qh 9n/P34Jbv26InuVycPlS5yMSIgearzf+xMFL+vtRsEGu9PDphxxI/us8whO4 4K5jJTj7v+9/Bv7RjsHZ2znQyLm5bbRGDGhtzn33YDYHdLhLL0Hdvd+vSHsO 7F0D43/avwbndBf5jL8yiKHjvwXD9QqCfqky6PzunJvvwK7U3/TtVRmI6fXe w7Qze/QD1slgED0+gND39strfWX/Xv8jzFdzc2iRSeHDz85X+AQhF18rRD6U giadTyJYxTuPfuouhXk0gCTYcuXOIhueFK7Q+X2GSX3YqKYMCVTs6TxgMuwp mzNl/FEJ9KHzTYFlg3dP1B0ggR2dp7ftK7BTQZvX5Ishjs7/G8x9ULtu5kEx yJNDGljf2D8+y04Mt+l60kD57CUf1XgRTC3rfIHvMHXTRrm6pSKQ0vV9hwXR QQZXmoRwJr7zAtKh5NJZd+MAIQyh682A6nMLzTfZCCGPBpTRcd6HQx88rIX9 dP2ZkD4sK71yeC3wO0/HJgtMUzzq7D7UwCeaRxYIhbzAnVNrYP26zkc2dHc+ Fi5OqQZtmk8OKD6f6H1uZjU8mdx5gjngodfnhc+XKlhA88qFpseDnd9MqoLf BJgLl/FG1FJWCddofnkQEiZ18RhSCWNpAeSD+MrnueqRFVBF88wH1W8KmU4W FXCSQAtgdOHaTZony6EfzbcQ9rhdaAj5WQbfUzofhTCyquho/fIy2EnzLoLI +/XHeyaVgnnn5RoVQ/XOx2EzHUrhDc2/GMbNfrRZ2q0EVnYezrUEdPuvrNoo LIKuRkrBdcmmjaPvFcJ8up5SKBGsG3bSrQDukE8puIc/+eHFz4dmur5SKJ5w PcohNxemkVcZCN2OleT658BVut4yGHjojWvoqGyQkV8ZXN8fuShClAlI118O 6+tCF/EuZMBZ8iyHoU+/Du4P6VBJhyuHyiBLQ4XqNHAi3wqwWy19edA4FXxp PhUgChyzr49LCuQTTwV8OpU+asm1z9CX5lUJuUulw1YXJsAB8q8E/XHZetfM PkIaza8SWMzAN8vmvgc7Wg9VENv3oVq74RvwpHlWwZqJxiUPfWIggdZHFWxP PX9wd+0TMKP5VsOY0ObzgtAI2EDrpRoa3ow+diXtMrymeVdDyIWbq84c9wAd Wj81EDvs1d1C7bNsBc2/BnZu8Sw8O/oWe0rrqQYm/c6MeuXxiCmRRy34Pp/9 UOG/52whedRCw9CDnierX7EI8qiFAn6r/MpR71gLedRCVPWiUwcUP7AZ5CGE lndnWiYmfWKh5CEEdHQbsMIvidWRhxAiryRt9pr6hY0jDxGoJR6eNlD5GztH HiIQTZRVhS5LY9XkIQK/LMPnN2K/s2HkIYbd9/k6u/QymF/XBgSCENUnjWsz WSF5iGFkzLq7dbFZzIE8JHBg58upY9Vz2EHykIBRtceENwtzWTp5SOBcgva1 kTfyWDfykELFGduY4Np85kUeUghQnLH4Wt9ClkQeUji7ZeTT/puLmAV5yGDi jANLe9wrZpvIQwb91q9xX1RRwt6ShwzKNVffnxVQyvTIg4NR60sMhd3K2Cry 4MDItW8/97gy9ow8OLCzN9r9cnY5U/z3vvFOQfImuaycda2vOrBd813Nz6OC dfVfB8W3ix9VtVWwrvVWB5cjF85POVnJ7pJXHeD4xMq+BlWsa/3VgUxgF9Z0 sYp17Rd1sF0xxcDcspp1rcd6uJR4w+7olWo2nTzrIWn9DxV78xrWtT7r4Yyr 5+yfwTWsa3+ph0mD+VWFmrWsa73WQ8lCC620g7WMI556yPfesfZdQy3rWr8N 0CPqV13YSiHr2o8a4HhOmc7Kr0LWtZ4bYIHTyUNNQ0QsmNZDAzTXy2+dd0XE utZ3AxS4PFm18a+Ide1fDTD2Xdasga5i1rXef8DHYPnTV2PEbCitlx/w89vJ ylBdyb/1/wO0p9ccclgjYV373Q+Y1qihMPa55F8PP6BbxK0tKQpSVkDr6QcM v+iKiTOk//pohDVK7cvtg6Wsa39sBMdRl3vWZEn/9dIIPjdOr/5jJGM+5NEI ilFB85bOkf3rpxHiEq7eV/aVsa79tBGuJRSek8bJ/vXUCAKBT5SORMYE5PET 5gT56Kw24/719RNOaa4cV4Uc69p/f4KXU97soLXcv95+whnJpufLj3MskTx+ wmO5tg2zb3L/+vsJAXrTyl1ec6xrv24C/eVLVA9/5/712ARBdyuRlXNsI3k0 QWPR1W36ddy/Ppvg1/ddP7x+c6xrf28Cs4fFN2Rt3L9em+B4uLBmpFwd0yWP X9BnjPJMg47nu/r9BfgnZ83bXxzrej/4BVpLFhfvk3L/ev4Fp0b3ap1VwrFo 8vgF1sL/9jl95f71/QtGD9APGRLDMWXyaIYk37OKs69x/3pvBocfl6THfDi2 iDyaoUe1bXvRUu5f/81g07N4icswjkWSRzNce/r1qoIu928/aAbfN+fzcstk 7A+Nrxlsy8XXKh7L/u0Pv2FRQJXUfp+MzSSP39D+asSER+Nl//aL3/Cn754z +1VlLIw8fsMlQ8eRVxKl//aP35CxptlC76iU1ZPHb7AUndlfOUr6bz9pAcXe qXx+g4SNJ48WKJjhOzT1puTf/tICBja7lzX/J2HnyaMF8mYa3L7TKv6337TA WLPRJypvilkNebTAI2996evJ4n/7zx8YaODTa2StiA0njz9Q2FTbvOGY6N9+ 9AfEu5/5ONuKmD95/AHrEV+m6L0Q/tuf/oBFsN6EsKlCVkQef8D7TvJHg/xa pkIerTDfod3H262WOZJHK6jM/OhXXF/DnMmjFWpPH3Oet7uGHSKPVrg7f/TL qr/V7B55tEJ9UXjOLZ9qlkEerZDUb+bQ621VrJU8WsFE8cvTmj1VrDt5/IVD /Me7/Rsr2Szy+AtveoboXN1YyXaRx19oHmA7sXdpBbtOHn/B3jcNJs+tYJ/J 4y/MvKS5RSm+nDWQx18oO1ZycodjObMkjzbI3ld0/s7lMjaBPNog2rE8/5Fi GdtMHm2w8mZ21Y0NpewCebTBuynfNWzDShgjjzboNsMr0HRtMasljza4e9+6 bl7PIqZPHu2gtyhh2J+qAjaCPNrB5SivevCNfLaaPNqh8kR0qf3iPBZAHu3Q f1PTrnbtXPacPNrhdoXL0jKWzYrJox3qHeeG/dqS9e/9Qw4PXB16a6NlJjOl 65HDS70ndHf7lM667p/lcInu+l5Gm7+zrg8IHc/f6iF3zSCNdd2Py2FU8VNv 501fmRtdrxxue/t3ad6jZNZ1fy+HvXIqPxjUJTI63UA5nOU2ubtLv0+s6/OC HK4KClis7h7Puj5PyKG6KWcoRMa+kK8cxl+rmFn78CUrofnIYaMw5BUzfcZ+ kLccmpXU9hvT9oCp0rzk0XyadsGmzzeYJfnL45zSqaqPp/oxR5qfPDZMmTH7 9PnDMJ7WgzxmiXWUx70Mg0V0gvK4cEWlt1j/Pmyk9SGPK4rXD6jnR4MPzVce fbd4JJ+NjYVgWi/yeGz1x7jeM97CXZq3PPLPX0hRkr2HOFo/8lj7/POQd9Ef IZUuWB5j/o5eXeeVCBW0nuRRtzhuy5ihyfCrvfMhj6mbWcq8xhTQJA8F3FFm sSj/YSrYkocCJk5O6PN2wHcYRB4KiJcFU7f7pcNk8lBA9fND7EtKM8CFPBQw /tbQ5/mDs2AreSjgLLNRvUYez4Yj5KGAfebO0s3JzIGL5NHxdY3f1GO8PLhP Hgo4SaOfifX6fGDkoYDBd4KMvKIKIIM8FLD6pP0097pCqCEPBfyt6N4zxaEY /mR3XrAinl0eFrBnfcd9PXko4upZa916zCkFAXkooq/IftlpYSkMJQ9FFC8u mlN+sAymk4cipg3tflfXpByWk4ciOuZN11KKLIcd5KGIO+uOeTwcXgEnyEMR tS730mtJrIAr5KGIBf5FG3PnVcIj8lBEdQGbP7SoEj6QhyK6a/kIlddUQQ55 KKLVRM9Lg2qrQEweiogDb/d4vL4a2h92HlAJdwcm3N1YWw2G5KGEsT8d/Rau qYGe5KGEN19/Cl5ZVAMjyUMJPVtyKvfPq4XZ5KGEO92afl9NqIXV5KGEIeLY h4+dhLCLPJRQP3TfiPs3heBPHko4Qc54lI+2CMLIQwmTx3g8sfUUQTR5KGHK hCFtPjkiSCQPJdyydZIkeKgYCshDCf0eT384+5wYOPJQxuP1vMK7UjEokocy 3vUdfeDMeAmYkocypp/TVla40PH5mTyUcarxmNlcpQSAPJQx5NyfyNn9Oz6P k4cyngRBurm3FNzIQxnDx637OeG1FPaShzIum7Y8OqlVCoHkoYzqSpdtrg2X wU3yUMaSAwFvXm2XQQx5KGP8rMP+FhEy+EIeyvhk3u7fz/NkUEIeyvhNo052 XJWDH+ShguGzbyefGMCBKnmooIHX1NXRiziwJA8VHH6Xp6a8hwNH8lDBEZsv HPIO4WA8eahglUu8vkY0B4vIQwUrPhV5vvjMwUbyUMHmrffK9hRy4EMeKvh4 SLL6AjEHweShgq/PqVqMb+LgLnmooKFJ4KvxfzmIIw8VrEwIUO3TcZ+eSh4q uLyvaszudg4qyEMVXZZt/BrVwsGvo50DVEUfb3Xhz3oONMlDFYcOGGc1p4oD W/JQxU3C+sa3mRwMIg9VLEuCfRPecTCZPFTR/tlSp4q7HLiQhyoqdxtuF+rP wVbyUMXGGquX3hs5OEIequhdMl7mNZmDi+Shiv4xrg7XbDm4Tx6qeCyubVnd Dxkw8lDFgGTd4p0fZZBBHqq476jloUFnZFBDHmqo+uHKOcclMvjj0nmCanh5 58CCbbYy0CUPNXRtzgxoK5WCgDzUcLuccEFpqBSGkocarh0+b6HNYilMJw81 dHmyi/deVwrLyUMNjwzqG/s9XgI7yEMNS59cPbN4uwROkIcaji/jB62ykcAV 8ug4n74ayr8SxPCIPNTwDX9BFH+TGD6QhxrG+q98LtUWQw55qOOP2acfrnsg AjF5qOO+md/OhkwWQfvATg91tFvumBRYIgRD8lDHl0/nmyz2FEJP8lDHjFuV kfIqQhhJHuq4dK5I/+K5jv7JQx3VDPuM6cnr6J881FGqt23/u4ga2EUe6jhh 0Me9Hg414E8e6ngk+A5OfVINYeShjiHPB/RbNKAaoslDHRe8GdpyL6oKEslD HX0L572Y36sKCshDA/c51X9Yc6MSOPLQwBavyTlik0pQ7PoHP7RyndnYcrIC TMlDA/123Nh0s6Uc+pCHBhbOWF/U5F4OQB4aaL2mZz/VrDKYRx4aeFjN92T1 mDJwIw8NPHK0+9q7d0phL3loYNjX8TtdtUohkDw0cICK2vIBpcVwkzw0sFGV F1h8swhiyEMDl33Zt7hmdSF8IQ9NzOi9THcHrwBKyEMTy4vfb43My4Mf5KGJ r/sfCn8amAuq5KGJtskrB8WMywFL8tBEbrSFdmlDFjiShyaOqJ7mufB6Jown D01Me75RYcL0DFhEHprYcPXR9fQf32EjeWhiDb/4cN/LaeBDHprYGDp5QvO+ bxBMHpr4Z9izrbnvv8Bd8tBEg7LT22YrfoY48tDEbtmPLkePTYBU8tDCrO5h 4S77P0AFeWihUm/p2dAX7+CXeqeHFpbUyB25WxAHmuShhTLRs5O3J70AW/LQ wm6eEenVUY9hEHlo4QC1uZecet+ByeShhSOvKF1NqTkPLuShhSvOik3C65Bt JQ8tnFK41CSh6QI7Qh5aaLSy0vXykzvsInlo4Z2T3auPNDxm98lDCwfv/OnT 3e8FY+Shjb1nRugp2L5mGeTR8fUKA4Uhue9YDXlo441jh81zQj+wP6WdB9TG ig06rbqrE5gueWhj04lf4b7dPjMBeWjj0/Nqy0TlX9hQ8tDGMb6jiouvfWPT yUMbe6T05fneS2PLyUMbnx1n/kZK6WwHeXR8/5j0kRtcMtgJ8tDG/64oyS1/ nMmukIc2Hp70uSFJIZs9Ig9tvFPmf+DA3Bz2gTx00L/H11ULw3JZDnnooDR4 8MuewjwmJg8dNFC52PLZsYC10w2qDi69Vq9ovKOQGZKHDjotdLYse1rEepKH DtrE5DSqcMVsJHno4JP9twoeGZay2eShgxP0Aw6WPyxlq8lDB3l393upTSpj u8hDBydvnqmpW1jG/MlDB9O/nUut2FrOwshDB3csbwrxlK9g0eShi9OnLz76 KKiCJZKHLuYqWTUftq5kBeShiwXi0XeK7lYyjjx00SHS53SUYxVTJA9dvN66 W67qWRUzJQ9d7BZ379q2odWsD3noYsbrXS5jY6pZ138I6OL2vT2PTR5cw+aR hy4eE6S+2RFVw9zIQxcdC4YoxHSvZXvJQxcPKT68p3C5lgWShy4OGlG0aYqm kN0kD120rDixdM9uISuk69FDe4XRDX6VQlZNPnpo2F9ZcfMMEauj69PDbTvb vxg+EbEW8tLDcXkNsu0GYqZE75d6GOeR4Xlgm5jp0P6mh86JI1J7fxEzM9of 9NDSNSNvk52E2VFfejikd0zBcC8J60vz0EMD7p3viQQJcyJfPZxrnqYww1DK kOajh0UD2vP3u0rZNPLWw+ZLKQZG4VI2n+alh3m7h1irVErZMvLXw/bX8SXT 7WTMneanh8P+nIgucpWx7bQe9FDT0Wjds2AZ20fz1MNqy/kjPifI2HFaH3o4 Z8o6oXGTjAXRfPXwr8eKm+f4HLtM60UPg1er6OFUjt2ieevhdePtsw03cyyK 1o8emqo8bFE/xbFYmr8eHowe0Y0XybF4Wk96mNP7nPPc9xxLIQ89rAk5F3ot i2PZ5KGP375n72qv4lgpeehj3w+KZTsbOCYiD32cn6g/t72FY43koY9vvnu+ vdzOsTZaf/q4KiYsWSBXx9TIQx+fnR38XvkvxwzIQx9LhyRHZP3kmBV56KPP GyuHWBHHepCHPuYMzIiKKuBYf/LQR9sZjYpxSRwbQR4dx5/x4FDJE45NIA99 PPxe8ZfNRY7NIg99XNPrxMN93hxzJg99tDhZ4t66gGOryEMf4xVc14U7cmwT eejjbe9NrjuUOeZFHvrYNlN7j2eOjB0kD328sqjbuvu3ZcyPPPTRXS91jM02 GTtHHvr4pGd4SIaTjIWShz5mHMzfn/5byiLIQx9j3vhstnspZU/JQx+Xb/Ve 8sVTyl6Thz7uUg+6l9VXyhLIQx+vx2wZMq1MwtLIwwAbBx8ZP/CshOWThwFK EosDLoKEVZKHAfofVxx2VChmMvIwQBe127kKQWLWTB4GeOShyxabQWKmQB4G mHpz2urydBHTIg8D7J8Z67dkq4iZkIcB5lZetQ1WEzEeeRjg9f1WH0JChaw3 eRigUlvbHu8BQjaYPAzwRJbhY3hfy8aQhwFmPg7o2zqzlk0hDwPc+mi6xeuc GjaXPAxwak53+dPLapgreRhgQ6v5p4Pl1WwdeRjgRed9t26urmbbyMMAXeVN nVTKq9ge8jDAlpPgFru0ih0lDwOsainbnZxdyU6ThwGedjukMHNmJQshDwO8 sNShes77ChZOHgaotmWHc83ACvaAPDrmqT8sjx9ezl6QhwHe73t5oIFuOXtH Hh3nt/WtV/LuMpZMHob4periX9fyUpZJHoaYXX1nVeGUUlZMHob48/hy5Zgl JayWPAzRIC29Id+2mDWQhyGuPTllzPSyQtZK7zeG6HY8Q8sxrICpkIchynr1 +vFwcT7TIw9DfD3tYx2nl8csyMMQZ/1u2WD9KYd1Iw9DDHyvar/cK5s5kIch BimpTivulsWGkYchlqgKp35My2DjyMMQfRcvbhixJ53NIA9DVO51dckm/ne2 kDwMcf7mj/HKp1LZCvIwxIDmnrPnZqSwDeRhiF5re5kYmSQzT/IwxHtP/4y7 sSCRHSAPQ3T4fHftnLMfmS95GKKW13p375T37Cx5GGLTVQWNMrW37Cp5GKLT td87eDtj2R3yMMRcVYnPsuKn7DF5dFz/wv5/zvvdY6/IwxD3NTwycb4Xyj6S hxEmXdLi++w6yL6RhxGuG71AHOMWALnkYYS3ir4tKZwTDuXkYYSD+C2Bfsce goQ8jFDR8ZXWDJdn0EQeRmjcY5Tn3PqXIEceRrhqa9on+6MMNMjDCPn9jmcH nowHI/IwQjbsQc+Psz6BDXkY4SLPF/2X6CeBPXkYYazTMps/ackwkDw6nl+6 ds+cU19hFHkY4VNDS0sFQRpMIg8jVO0dt2TF/u8whzyMMMpy0qaQrHRYQh5G OG+0n+LBPpmwhjyMMD1MYC09kAVbyMMI/R7dVnyRmg3e5GGEZhA3/4l1Lhwm DyMc6jpK5YV7HgSQhxEWzhq+8crjfLhAHkaYL2gZNvxnAVwnDyMs797g7+ZU BPfIo2M+kXckbTuK4Rl5GGH7ad/5uQ9L4C15GOOgn8svVXuUQhJ5GKPmBc/Y Ao0ySCcPY/x6oywu9kYZFJKHMc7VqzHf6FQO1eRhjDWHJAGlSeVQRx7G+Eb1 nbHq4gpoofsZY3w1MeVvSnUFKJGHMQoiJubxtleCDnkYY7j7rJP1LZVgRh7G ON9Wf4zDoSqwIw9jfHLtu3eCUjX0JQ9jnJb+Q/vesWpwIg9jvL+zucdnxRpA 8jDGz2O3TjDyqYFp5GGM+V7FsO9XDcwnD2O85hE2s2FTLSwjD2MMNHvc5lZS C+7kYYxp1d7jUmcJYTt5GGOL6wl3izgh7CMPYzxwY5TdqG4iOE4eHa9vue1o Tz8RBJGHMVZlKaunSURwmTyM0XKnd1CvGWK4RR7GaHt+4Wr7CDFEkYcxNi6J HvReTgKx5GGCGbp+NsIFEognDxMccMno4fm7EkghDxN8cNMo+/VPCWSThwnu ctZtn49SKCUPE9zutffv/BNSEJGHCSZHlpk+S5ZCI3mY4Ic2mcoGDRm00f2y CZbN3N20ZZIM1MjDBHcf2nk87oAMDMjDBN0vlHyZEi0DK/Lo+Hrkuf/0KmXQ gzxMcGqjpbmWPgf9ycMETSPcrjiN4GAEeZig4pEDn/2WczCBPEzwkYm1ttIh DmaRhwnOvj1xamgoB87kYYJVx97nL4jlYBV5mOCLM8EhPb9xsIk8TLAkwCVT r5QDL/Iwwdz995boyjg4SB4meFo4eQe/mQM/8jDBY2K3soltHJwjDxOM1hfW j5arg1DyMEGHHb8Hf+h4PoI8TNDIX0nT6jcHT8nDFI3GJZqe4Dh4TR6m2BL3 wFe5nIME8jDFoOVnVS6lcZBGHqZ48kbw8/FxHOSThyn63UsYrBbOQSV5mOKl UuE14VEOZORhipbLFI6JV3PQTB6mOH+V+Jc+cKBAHqY47nP2/pUmHGiRhyke uvzWpEQoAxPyMMXn7xJHBL2UAY88TPF76/m8Pcdk0Js8TNG595nFt2fKYDB5 mGKI2PKiiYEMxpCHKZ7KjqvISpfCFPIwxT+jBimLA6UwlzxMUeVBwOBlU6Xg Sh6mOG+smfWwdgmsIw9T3PNzScGhJxLYRh6m+N9f7s+EFRLYQx6miGtd9/hr SuAoeZjiac0stjxaDKfJwxTH8H7dSFkkhhDyMMUnc3esLGoWQTh5dJxP9v2I axdE8IA8zHDllol+5gNE8II8zNDi+n2fpUlCeEceZqjwn6+bl6sQksnDDHeI HI56SGshkzzMsH3sn92ue2uhmDzM0HnnrZkTVWqhljzM0IQ7smrE6RpoIA8z PJOc5j3NsAZaT3cO0Aw3fku9f/R8NaiQhxmmOjVvbTaqBj3yMMMvJ7XPPD9T BRbkYYY+Txz6p2hWQTfyMMNhl/LfzzhSCQ7kYYYf/EWaU5orYBh5mOHNs4cF qRsqYBx5mGG9SfOGH/nlMIM8zLBF+VFgwpRyWEgeZpjwWnpiybMyWEEeZljU djfovXUZbCCPjuOPHttH51gpeJKHGTpyAU53MkvgAHmYoagWkiZdKQZf8jBD o4Vep7otK4Kz5GGG1X2WHFhnXQhXycMMPX0vKw3Oy4c75GGOj0qDm56dyYPH 5GGODzM2nNWfnAuvyMMcJ4622L39dzZ8JA9zPCrYGSkXmQXfyMMcdays91Yt yIRc8jDHwsTNl6bJZUA5eZijo/KytsUR30FCHub42nuRdPSsNGgiD3P8wtMo HFv5FeTIwxyvTRx42sX+C2iQhzl6XzdtsFmfBEbkYY49z93yKL/T8f5PHua4 aZZtVmtZPNiThzl65PoM+2TxDgaShznmv94l3+PmKxhFHubo3GYQvlf7OUwi D3NclrVezksUBXPIwxyLn40fYv/iJiwhD3PkMvY8KmwLgjXkYY59YzfGvIjf ybaQhzkeODtHGFByhXmThzmGGpdH+nSPZIfJwxz7HfEU6fV9ygLIwxxl18KW 9PgQwy6QhznW53hMn7PoDbtOHhY4b+eqMG7He3aPPCxwfKTM0GDER/aMPCyw eLsXxv5NYG/JwwIHbhzX3//tZ5ZEHhaYP2bP5MH7Ulg6eVhgfc/PM5c6pbJC 8rDAJJO9o5yb0lg1eVjgl80xIzfNTmd15GGBQcErR+OdDNayttPDAmsvq/Hv tWQyJfKwQKtSR4ODM7KZDnlYYELl9lMhV3KYGXlY4NPBYWuTa3KZHXlYIER/ SJL0z2d9ycMCbZ8OnpjjVcCcyMMC7w46+m3ly0KG5GGBy15vjl/TXMSmkYcF Npk9l8YOKmHzycMC37G9SVeGlLJl5GGB9iNiBi5NLWXu5GGB62Xf07Tdyth2 8rDAXgs12y+3lrF95GGB81NqXBsCy9lx8rDAxTe3p8rzK1gQeVjgpMe7jsQ8 qmCXycMS3ys94+RHVbJb5GGJf8/+zU79VMmiyMMSi3atnKY3s4rFkoclRkYM u//0exWLJw9LzIsf+PDOvGqWQh6WGPdmoXNhejXLJg9LbBzzW2PC7BpWSh6W KJgfsfdbUg0TkYclDlmgFbcJalkjeVji0mdvhuhF17K2UZ0elh33b7ov7gmE TI08LPHyxm9rHc4ImQF5WOJzucbUU3+EzIo8LFFXeVZ53CoR60Eeljg3zJy7 nyBi/cnDEr86no36r6eYjSAPS8wK3YE3jorZBPKwxGk/tvYLLBazWeRhiRMU Q9z1hkiYM3lY4n2DmDkWvhK2ijwssX7wjSfhORK2iTwssWqK56cwgZR5kUfH 9bp9GaK2ScoOkoclLr9WaZXxWMr8yMMSd6XHqjTXS9k58rDCksfKDVscOz7/ k4cVvvGa+l//9TIWQR5WmBzwWHNImIw9JQ8rfJ3QuN/ru4y9Jg8rTB/gsFfW LmMJ5NHx9aLzMy/25lgaeVjhnWKnmI3/cSyfPKxw15aQhnWeHKskDyvUTJ4V fTSYYzLysMJmlWM93kdxrJk8rFAxy/OHWQLHFMjDCrlPqSNP5nFMizys8IOv +VVdIcdMyMMKd2v/6HOvkWM88rDCtBMLDyxq5Vhv8rDCX93K52jK1bHB5GGF EzxW8GraOTaGPKzQYJW83Oc/HJtCHlaYqOsY//oHx+aShxXOMjBc86GGY67k YYVj/RYvK87h2DrysMLMHIXbuh85to08rJDfu8fdxQ84toc8rHC77NYsFsSx o+RhhQX2qe3jPTh2mjys0ed9c4h4JsdCyMMafTPaPV714Fg4eVhjptZHl+d/ ZOwBeVijuWNgWFmKjL0gD2vs9mlL24TLMvaOPKzxEs/ncdVqGUsmD2vc/6Ln muReMpZJHtYY0DBldItYyorJwxoHXXHJ3HdPymrJwxrjyw4NWbJWyhrIwxpH j/IruWwlZa2GnR7WmN+zMn5ymoSpkIc16vw8jhsOSpgeeVhjFEu21+onYRbk YY1bYwa9GpotZt3Iwxojih2v/9orZg7kYY3N6xLrF9qI2TDysEbdLOi/8o2I jSMPa/QweTrRbrGIzSAPa3zyPPjInXohW0ge1jjYZdCNluNCtoI8rNEg2f5V H3Mh20Ae1jjRL3bG5Iha5kke1pi8vc8wl8G17AB5WGPZZIu4nW9qmC952KDG zYcet8fXsLPkYYMpLunzfidUs6vkYYOfIldFH5xcze6Qhw3mD58wYvqnKvaY PGww3mNvrTtWsVfkYYPeNoMNRLGV7CN52OD6L2xpiUMl+0YeNnhE3u/94vAK lkseNrg3SuHwBsMKVk4eNlj884Cj4HA5k5CHDT6M0rt1XlbGmsjDBt2/z5fP dC5jcuRhg8csh0fVvStlGuRhg9sdXs5v61HKjMjDBneV92C2JiXMhjxssO23 mNuWX8TsycMGr7yarGJ6pZANJA8b1C/qjsOdC9go8rDBjdOUp7Xr57NJ5GGD 443MRpxJymVzyMMG27cu9Dfdl8OWkIcNtsw+ZhbXN5utIQ8bNB06wPR2fibb Qh42eL3ymkH7sQzmTR4d8951v7rBIZ0dJg9b3Hr/yat7WWksgDxscc3Fm803 Gr+xC+Rhi7v1Dz7jjUhh18nDFm+dUz/Qc99ndo88bDF+7uaLWnEJ7Bl52GLG BpfbPX59YG/JwxYLnFfeSun/niWRhy2eG7Tj9f201yydPGxx2l3B20GjYlgh edhi7J0zWaW3nrBq8rDFpOQLSZ9MIlgdedhi3ZfpGPH+EmsRdV6wLa7wF9zN OreBKZGHLWo9HuJaYBUMOuRhi3rC+2atH2+BGXnYokV/115/mx+BHXnY4tKP k0f4nnsOfcnDFlv/4ymLe8WBE3nYoqLCnIg/S98Bkoct/rl5sa6t2weYRh62 OOhESetd4SeYTx62GPPlemzY/SRYRh62GHxCbU3ghi/gTh62ePrB9VBej2+w nTxsUeVKU2zbljQYQz+OwcMr9m39apO+wwfy4eFJ88a+4bwMmEL/XcND7chu uxW8MuErefFwdtEX25KkLJhLt5M8fGs5er+OeQ7kkB8PNyjLj3Nblwuunacr 4OGWltpd7x7nQRl58vDpLdMT9b/yYV3n4Rx4GCv+OyJ9ZCGIyZeHR55NTxyx rwi2dc5nGA+d0jNSFF8Ww0/y5mHAqVXLVBpKYE/nvMbx0Mf4g8Lp4FJoJ38e ntl0a7Vu3zI42jm+GTwc/3LzOc/4MlCnf6/hoT2aWdxfWA6nOy93EQ/ne41/ e722HAzp8ykPDcQeZ8Z7V0BI5+FW8vDh3tHSQ8qVYE334zxs8T/sNS2oEsI7 572x43rbD9kGmFVBT7of5OHpR797OYVWwYPO+e/koY3NoF7D+NUwgN7/ePiV r6Z0+EY1vOjk8OHh5llFTYq2NTCSeudh7/wz56Mu1cC7Tg8/HlbHr/m6Xb8W JtJ646Gg+Vv12OO1kNzpcY6HfWfPPaHdXAuzaf3x8Kba6OjEdULI7PQI5eGP RytTV6ULYTGtRx5es/kQ/n2ECIo7PSJ4yLYMdla9LoLVtD55mBAp8fklL4ba To/ojuPJ6+hfWCGGzbReebhnDW9jTpwYGjo93vAQR/ksemwogV20fnm4uN8r DRN3CbR2eiTysCSitntbrAQO0Xrm4Xf7uphlKlJQoV9n4SFf9nqMwxwp+NP6 7rg+i80Rqy9IQY9+3YOHEW2b5zflSuE8rXcePjnkb1RsKgML+nUDHq7cUd/P cJ4Mwmj98zDohc2S034y6EY/bs5Da5vkxClvZRBJPfCwtDzWcpRMBg7046g8 LL943GOVBQfR1AcPJx9d5vpiHAfDqA8+9pxxp2agGwdvqA8+umRcuphxgoNx 1AcfjSfnrj93i4NE6oOPP0aVZ3m84WAG9cFH5Vzfr+7pHHynPvjYu3rmG68K DhZSH3wUC58FXKrjoID64GOJyrHQ1N8crKA++Hg86U+aaTsHVdQHHyOXNb8d JlcHG6gPPvqVCfcU/uWAoz74uD+HZ774Fwee1AcfV0q8u9dKOPhNffDRVry2 1q+YgwPUBx/N3n3oPj6FA0Xqg49VDaFWhi848KU++FjcKj3+9woH2tQHH42O jbykfICDs9QHH+cFjFVwdOXAlPrg45HzO0X7nTi4Sn3w8X7usR9NWhzwqY+O 8w9KHBpWIoM71Acfj+68MHVflAz6UB98NNh1e+C53TJ4TH3wcc9X3CFFGQyh PvjIeR2SD1SSwSvqg4+vR26fcvCjFID64GPwvB49Px+Uwkfqg48fkt5zHsOl MJX64OOXmB3rjsgk8I364OMG/1XvVK5LYB71wUfLRX7hyrMkkEt98PHEjlM8 v2YxLKU++Dj28K640DAxlFMffIxp375i1ngxuFEffGzy93C7VSECCfXBRx+j xDMPDorAg/rgo5xmrNoOCxE0UR98dM9ucVF6IoS91AcfnR/2Pbh5ghDkqA8+ 7tIY8TUusxaOUR98TJK8am1dWQsa1Acfz5iOtwdJDQRSHx1ex+8kBu2oASPq g489Zg98JNdcDZeoDz622eZrh+6uBhvqg4+9bi7Z6N1cBTepDz6+bJhzJ8yz CuypDz5OWTW5QSCrhIfUBx/Dc2OyjNdWwkDqww59mhXtj+dVQAz1YYcOzqt1 j0+vgFHUhx1OU09q6xFXDu+pDztMfPoyeo99OUyiPuww/mDPwcHBZfCF+rDD Rw4DUg63lsIc6sMOAz1qNF1Xl0IW9WGHH/TV/FYHlcAS6sMOB+0bpO+wsBhK qA87jHDaPXWMWRGsoT7ssH3ixAlx2QUgpD46/v6dPUdSzuTDFurDDv8eCGm8 NDUPflAfduhimy6e3pYD3tSHHU5fYmGr+Tgb/tL9hB2Gl9rdkFueBYepDztc PWRO4QLNTFClPuxwRkH4qcHP0yGA+rBD5nKBJbh+B33qww7nJzV9dFJIgwvU hx0OiF7itmz6V7CkPjrO75o6e346Ga5TH3YYujol8vO3ROhOfdjhr/+s79Zp foJ71EfH/CT7zx6aFA+O1Icd1k09P+Du37fwjPqww7Nm6i77NryE4dSHHcKL bnIDM6PhLfVhh6/X137gvB7AeOrDDg3151m1jr0BSdSHHU6SpE+/08cXZlIf dngwfFL/q9FHWTr10THf0PFFRmuus0XUhx0O1OqhD5fus0Lqww6XZ6b4H14b zVZSH3b4LfvCWsXWWFZNfdjhiKcDZ20PfMs2Uh92GJk+ggvUjWd11Icd6tvc P+uQ9ZHtpD46/Nnz4tEhiayl0+O7HfY60K9+nXMy86E+7FDjoPn4ecZfmRL1 YYelQxZFP/iWyk5SH3aYWXIxSWfcd6ZDfdihzfut8yIup7Ng6sMOj85RDW+u y2Bm1EeH10mrW1kTstg16sMOTx89fMH4Qjazoz7ssP/g8WqBlTnsLvXRMS+l mBKz/nmsL/UhwMD3Z5b7eeezJ9SHAFN7VPaJe1PAnKgPAa7aoT/7SHshi6M+ BKiwNXZM3OhihtSHAGdhYOlI7xL2ifoQ4I23IZO3Lipl06gPAQ7itga+rStl qdSHAJ/7mNU3nyhj86kPASbMWJyjaV3O8qgPAVrOe1NX+aicLaM+BKgrzRiw HStYBfUhwIid7jk3vlUwd+qj4/U1n7ivWlLJpNSHAIP6eb4Mr6hk26kPAa5v 6Cb5b0MV+0V9CPBm0M8dy2VVbB/1IcB+bSUmcVurmTz1IcAVq25x82XV7Dj1 IcAT1m+2Wm+oYZrUhwD72E9ZqVxRw4KoDwFqn66q/etcy4ypDwE2ffY70fyl ll2mPgT4N2maVc1IIbOlPgTosNSgOi5CyG5RHwJsrnU+tt5AxHpRHwIEnU9/ y71FLIr6EOCCfp9iLAtFbBD1IcDHhywPq44Ss1jqQ4D37y8NvhwiZqOpDwEO 83bz/1wvZvHUhwBFse88T06WsMnUhwDd5Jo+pV6SsBTqQ4DFZpWrztZK2H/U hwC/ajZdSxwkZdnUR8f5By8Yvm6vlLlQHwKcmantvpZJWSn1IcALjrzU1+1S tpb6EGCorf/xNaNkTER9dKwn0TiLBTtlbCv1IUB7Cyv/E/dkrJH6EOCZs3dn /yyQsd3UR8e8neQWhKhzrK3z81ChACuaTrZvGMSxI9SHAEeMDO/jvphjatSH AHsGjHXw38uxU9SHAB9uPJ2VeoljBtSHAC9OXbl+4DOOXaQ+OuZ15OX9R8kc s6I+BDh1tSBvQhHHblAfApRp6kZyYo71oD66oWy22ayoJo79HwKX+Z8= "]]}, "Charting`Private`Tag#1"], Annotation[{ Hue[0.9060679774997897, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxTTMoPSmViYGCQBmIQjQo+2M+aCQI37SVYwvh0N52F8l/ar79YtKD91rP9 JsYg8Nk+3NjguNGpj/sh8j/tQ5wmXmb+/WQ/1CCHDLtXF+eUXbYHKzdmduiz VvmsVvPBPg0M2BzYNl/gUnv8zh6sfSang4DiOR6z0CP2Z8CAx0GFm6vv4/wX +/+DAb+Dg7Zm4cOtH/dD1As6PDyefa6T+fF+iPnCDss+2tW8+Hvd/ixYv4gD l/d84aqnH+zTwfaJOVjNWRPFuvitPSPYeRIOBlfSEngObbWfDTZP0oFdYOUR a89X+03B5kk7NBp2/gzt/bj/PNg8GQfPihdTI7492J8JNk/OoWY6U/3ZzDtQ 8xQcjr18L9Zo/dH+HFi9gkPOr9pebsc3UPMVHRhmpX+cwdZmnwHWr+Sguim9 u+HKa6h9yg5vnq1ety/g435InKg4aCxU/dG/+i7UfhUHh3ab/vlRD+wBZxPD Bw== "]]}, "Charting`Private`Tag#2"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10.400000000000004`}, {-1.111864832, 1.0770274063093992`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10.400000000000004`}, {-1.111864832, 1.0770274063093992`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{}, {}, Annotation[{ Hue[0.67, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxV23c8lf/7wHF7772d4zS0aGp3Xe09Pk1Fe9BOSZraCUVpaFFaNDRUlOpd KiRF9t7rzBtJkvhx6fvH7/zTw+PkPvd9Pd+v97lPwV+1de5aBTk5OZGinFzn n///UQd7jaIml+05Cq4Lmpbqt3L/vj4H67lz5wc3chBrc0z8X2woRO/uH7qh 9n/P34Jbv26InuVycPlS5yMSIgearzf+xMFL+vtRsEGu9PDphxxI/us8whO4 4K5jJTj7v+9/Bv7RjsHZ2znQyLm5bbRGDGhtzn33YDYHdLhLL0Hdvd+vSHsO 7F0D43/avwbndBf5jL8yiKHjvwXD9QqCfqky6PzunJvvwK7U3/TtVRmI6fXe w7Qze/QD1slgED0+gND39strfWX/Xv8jzFdzc2iRSeHDz85X+AQhF18rRD6U giadTyJYxTuPfuouhXk0gCTYcuXOIhueFK7Q+X2GSX3YqKYMCVTs6TxgMuwp mzNl/FEJ9KHzTYFlg3dP1B0ggR2dp7ftK7BTQZvX5Ishjs7/G8x9ULtu5kEx yJNDGljf2D8+y04Mt+l60kD57CUf1XgRTC3rfIHvMHXTRrm6pSKQ0vV9hwXR QQZXmoRwJr7zAtKh5NJZd+MAIQyh682A6nMLzTfZCCGPBpTRcd6HQx88rIX9 dP2ZkD4sK71yeC3wO0/HJgtMUzzq7D7UwCeaRxYIhbzAnVNrYP26zkc2dHc+ Fi5OqQZtmk8OKD6f6H1uZjU8mdx5gjngodfnhc+XKlhA88qFpseDnd9MqoLf BJgLl/FG1FJWCddofnkQEiZ18RhSCWNpAeSD+MrnueqRFVBF88wH1W8KmU4W FXCSQAtgdOHaTZony6EfzbcQ9rhdaAj5WQbfUzofhTCyquho/fIy2EnzLoLI +/XHeyaVgnnn5RoVQ/XOx2EzHUrhDc2/GMbNfrRZ2q0EVnYezrUEdPuvrNoo LIKuRkrBdcmmjaPvFcJ8up5SKBGsG3bSrQDukE8puIc/+eHFz4dmur5SKJ5w PcohNxemkVcZCN2OleT658BVut4yGHjojWvoqGyQkV8ZXN8fuShClAlI118O 6+tCF/EuZMBZ8iyHoU+/Du4P6VBJhyuHyiBLQ4XqNHAi3wqwWy19edA4FXxp PhUgChyzr49LCuQTTwV8OpU+asm1z9CX5lUJuUulw1YXJsAB8q8E/XHZetfM PkIaza8SWMzAN8vmvgc7Wg9VENv3oVq74RvwpHlWwZqJxiUPfWIggdZHFWxP PX9wd+0TMKP5VsOY0ObzgtAI2EDrpRoa3ow+diXtMrymeVdDyIWbq84c9wAd Wj81EDvs1d1C7bNsBc2/BnZu8Sw8O/oWe0rrqQYm/c6MeuXxiCmRRy34Pp/9 UOG/52whedRCw9CDnierX7EI8qiFAn6r/MpR71gLedRCVPWiUwcUP7AZ5CGE lndnWiYmfWKh5CEEdHQbsMIvidWRhxAiryRt9pr6hY0jDxGoJR6eNlD5GztH HiIQTZRVhS5LY9XkIQK/LMPnN2K/s2HkIYbd9/k6u/QymF/XBgSCENUnjWsz WSF5iGFkzLq7dbFZzIE8JHBg58upY9Vz2EHykIBRtceENwtzWTp5SOBcgva1 kTfyWDfykELFGduY4Np85kUeUghQnLH4Wt9ClkQeUji7ZeTT/puLmAV5yGDi jANLe9wrZpvIQwb91q9xX1RRwt6ShwzKNVffnxVQyvTIg4NR60sMhd3K2Cry 4MDItW8/97gy9ow8OLCzN9r9cnY5U/z3vvFOQfImuaycda2vOrBd813Nz6OC dfVfB8W3ix9VtVWwrvVWB5cjF85POVnJ7pJXHeD4xMq+BlWsa/3VgUxgF9Z0 sYp17Rd1sF0xxcDcspp1rcd6uJR4w+7olWo2nTzrIWn9DxV78xrWtT7r4Yyr 5+yfwTWsa3+ph0mD+VWFmrWsa73WQ8lCC620g7WMI556yPfesfZdQy3rWr8N 0CPqV13YSiHr2o8a4HhOmc7Kr0LWtZ4bYIHTyUNNQ0QsmNZDAzTXy2+dd0XE utZ3AxS4PFm18a+Ide1fDTD2Xdasga5i1rXef8DHYPnTV2PEbCitlx/w89vJ ylBdyb/1/wO0p9ccclgjYV373Q+Y1qihMPa55F8PP6BbxK0tKQpSVkDr6QcM v+iKiTOk//pohDVK7cvtg6Wsa39sBMdRl3vWZEn/9dIIPjdOr/5jJGM+5NEI ilFB85bOkf3rpxHiEq7eV/aVsa79tBGuJRSek8bJ/vXUCAKBT5SORMYE5PET 5gT56Kw24/719RNOaa4cV4Uc69p/f4KXU97soLXcv95+whnJpufLj3MskTx+ wmO5tg2zb3L/+vsJAXrTyl1ec6xrv24C/eVLVA9/5/712ARBdyuRlXNsI3k0 QWPR1W36ddy/Ppvg1/ddP7x+c6xrf28Cs4fFN2Rt3L9em+B4uLBmpFwd0yWP X9BnjPJMg47nu/r9BfgnZ83bXxzrej/4BVpLFhfvk3L/ev4Fp0b3ap1VwrFo 8vgF1sL/9jl95f71/QtGD9APGRLDMWXyaIYk37OKs69x/3pvBocfl6THfDi2 iDyaoUe1bXvRUu5f/81g07N4icswjkWSRzNce/r1qoIu928/aAbfN+fzcstk 7A+Nrxlsy8XXKh7L/u0Pv2FRQJXUfp+MzSSP39D+asSER+Nl//aL3/Cn754z +1VlLIw8fsMlQ8eRVxKl//aP35CxptlC76iU1ZPHb7AUndlfOUr6bz9pAcXe qXx+g4SNJ48WKJjhOzT1puTf/tICBja7lzX/J2HnyaMF8mYa3L7TKv6337TA WLPRJypvilkNebTAI2996evJ4n/7zx8YaODTa2StiA0njz9Q2FTbvOGY6N9+ 9AfEu5/5ONuKmD95/AHrEV+m6L0Q/tuf/oBFsN6EsKlCVkQef8D7TvJHg/xa pkIerTDfod3H262WOZJHK6jM/OhXXF/DnMmjFWpPH3Oet7uGHSKPVrg7f/TL qr/V7B55tEJ9UXjOLZ9qlkEerZDUb+bQ621VrJU8WsFE8cvTmj1VrDt5/IVD /Me7/Rsr2Szy+AtveoboXN1YyXaRx19oHmA7sXdpBbtOHn/B3jcNJs+tYJ/J 4y/MvKS5RSm+nDWQx18oO1ZycodjObMkjzbI3ld0/s7lMjaBPNog2rE8/5Fi GdtMHm2w8mZ21Y0NpewCebTBuynfNWzDShgjjzboNsMr0HRtMasljza4e9+6 bl7PIqZPHu2gtyhh2J+qAjaCPNrB5SivevCNfLaaPNqh8kR0qf3iPBZAHu3Q f1PTrnbtXPacPNrhdoXL0jKWzYrJox3qHeeG/dqS9e/9Qw4PXB16a6NlJjOl 65HDS70ndHf7lM667p/lcInu+l5Gm7+zrg8IHc/f6iF3zSCNdd2Py2FU8VNv 501fmRtdrxxue/t3ad6jZNZ1fy+HvXIqPxjUJTI63UA5nOU2ubtLv0+s6/OC HK4KClis7h7Puj5PyKG6KWcoRMa+kK8cxl+rmFn78CUrofnIYaMw5BUzfcZ+ kLccmpXU9hvT9oCp0rzk0XyadsGmzzeYJfnL45zSqaqPp/oxR5qfPDZMmTH7 9PnDMJ7WgzxmiXWUx70Mg0V0gvK4cEWlt1j/Pmyk9SGPK4rXD6jnR4MPzVce fbd4JJ+NjYVgWi/yeGz1x7jeM97CXZq3PPLPX0hRkr2HOFo/8lj7/POQd9Ef IZUuWB5j/o5eXeeVCBW0nuRRtzhuy5ihyfCrvfMhj6mbWcq8xhTQJA8F3FFm sSj/YSrYkocCJk5O6PN2wHcYRB4KiJcFU7f7pcNk8lBA9fND7EtKM8CFPBQw /tbQ5/mDs2AreSjgLLNRvUYez4Yj5KGAfebO0s3JzIGL5NHxdY3f1GO8PLhP Hgo4SaOfifX6fGDkoYDBd4KMvKIKIIM8FLD6pP0097pCqCEPBfyt6N4zxaEY /mR3XrAinl0eFrBnfcd9PXko4upZa916zCkFAXkooq/IftlpYSkMJQ9FFC8u mlN+sAymk4cipg3tflfXpByWk4ciOuZN11KKLIcd5KGIO+uOeTwcXgEnyEMR tS730mtJrIAr5KGIBf5FG3PnVcIj8lBEdQGbP7SoEj6QhyK6a/kIlddUQQ55 KKLVRM9Lg2qrQEweiogDb/d4vL4a2h92HlAJdwcm3N1YWw2G5KGEsT8d/Rau qYGe5KGEN19/Cl5ZVAMjyUMJPVtyKvfPq4XZ5KGEO92afl9NqIXV5KGEIeLY h4+dhLCLPJRQP3TfiPs3heBPHko4Qc54lI+2CMLIQwmTx3g8sfUUQTR5KGHK hCFtPjkiSCQPJdyydZIkeKgYCshDCf0eT384+5wYOPJQxuP1vMK7UjEokocy 3vUdfeDMeAmYkocypp/TVla40PH5mTyUcarxmNlcpQSAPJQx5NyfyNn9Oz6P k4cyngRBurm3FNzIQxnDx637OeG1FPaShzIum7Y8OqlVCoHkoYzqSpdtrg2X wU3yUMaSAwFvXm2XQQx5KGP8rMP+FhEy+EIeyvhk3u7fz/NkUEIeyvhNo052 XJWDH+ShguGzbyefGMCBKnmooIHX1NXRiziwJA8VHH6Xp6a8hwNH8lDBEZsv HPIO4WA8eahglUu8vkY0B4vIQwUrPhV5vvjMwUbyUMHmrffK9hRy4EMeKvh4 SLL6AjEHweShgq/PqVqMb+LgLnmooKFJ4KvxfzmIIw8VrEwIUO3TcZ+eSh4q uLyvaszudg4qyEMVXZZt/BrVwsGvo50DVEUfb3Xhz3oONMlDFYcOGGc1p4oD W/JQxU3C+sa3mRwMIg9VLEuCfRPecTCZPFTR/tlSp4q7HLiQhyoqdxtuF+rP wVbyUMXGGquX3hs5OEIequhdMl7mNZmDi+Shiv4xrg7XbDm4Tx6qeCyubVnd Dxkw8lDFgGTd4p0fZZBBHqq476jloUFnZFBDHmqo+uHKOcclMvjj0nmCanh5 58CCbbYy0CUPNXRtzgxoK5WCgDzUcLuccEFpqBSGkocarh0+b6HNYilMJw81 dHmyi/deVwrLyUMNjwzqG/s9XgI7yEMNS59cPbN4uwROkIcaji/jB62ykcAV 8ug4n74ayr8SxPCIPNTwDX9BFH+TGD6QhxrG+q98LtUWQw55qOOP2acfrnsg AjF5qOO+md/OhkwWQfvATg91tFvumBRYIgRD8lDHl0/nmyz2FEJP8lDHjFuV kfIqQhhJHuq4dK5I/+K5jv7JQx3VDPuM6cnr6J881FGqt23/u4ga2EUe6jhh 0Me9Hg414E8e6ngk+A5OfVINYeShjiHPB/RbNKAaoslDHRe8GdpyL6oKEslD HX0L572Y36sKCshDA/c51X9Yc6MSOPLQwBavyTlik0pQ7PoHP7RyndnYcrIC TMlDA/123Nh0s6Uc+pCHBhbOWF/U5F4OQB4aaL2mZz/VrDKYRx4aeFjN92T1 mDJwIw8NPHK0+9q7d0phL3loYNjX8TtdtUohkDw0cICK2vIBpcVwkzw0sFGV F1h8swhiyEMDl33Zt7hmdSF8IQ9NzOi9THcHrwBKyEMTy4vfb43My4Mf5KGJ r/sfCn8amAuq5KGJtskrB8WMywFL8tBEbrSFdmlDFjiShyaOqJ7mufB6Jown D01Me75RYcL0DFhEHprYcPXR9fQf32EjeWhiDb/4cN/LaeBDHprYGDp5QvO+ bxBMHpr4Z9izrbnvv8Bd8tBEg7LT22YrfoY48tDEbtmPLkePTYBU8tDCrO5h 4S77P0AFeWihUm/p2dAX7+CXeqeHFpbUyB25WxAHmuShhTLRs5O3J70AW/LQ wm6eEenVUY9hEHlo4QC1uZecet+ByeShhSOvKF1NqTkPLuShhSvOik3C65Bt JQ8tnFK41CSh6QI7Qh5aaLSy0vXykzvsInlo4Z2T3auPNDxm98lDCwfv/OnT 3e8FY+Shjb1nRugp2L5mGeTR8fUKA4Uhue9YDXlo441jh81zQj+wP6WdB9TG ig06rbqrE5gueWhj04lf4b7dPjMBeWjj0/Nqy0TlX9hQ8tDGMb6jiouvfWPT yUMbe6T05fneS2PLyUMbnx1n/kZK6WwHeXR8/5j0kRtcMtgJ8tDG/64oyS1/ nMmukIc2Hp70uSFJIZs9Ig9tvFPmf+DA3Bz2gTx00L/H11ULw3JZDnnooDR4 8MuewjwmJg8dNFC52PLZsYC10w2qDi69Vq9ovKOQGZKHDjotdLYse1rEepKH DtrE5DSqcMVsJHno4JP9twoeGZay2eShgxP0Aw6WPyxlq8lDB3l393upTSpj u8hDBydvnqmpW1jG/MlDB9O/nUut2FrOwshDB3csbwrxlK9g0eShi9OnLz76 KKiCJZKHLuYqWTUftq5kBeShiwXi0XeK7lYyjjx00SHS53SUYxVTJA9dvN66 W67qWRUzJQ9d7BZ379q2odWsD3noYsbrXS5jY6pZ138I6OL2vT2PTR5cw+aR hy4eE6S+2RFVw9zIQxcdC4YoxHSvZXvJQxcPKT68p3C5lgWShy4OGlG0aYqm kN0kD120rDixdM9uISuk69FDe4XRDX6VQlZNPnpo2F9ZcfMMEauj69PDbTvb vxg+EbEW8tLDcXkNsu0GYqZE75d6GOeR4Xlgm5jp0P6mh86JI1J7fxEzM9of 9NDSNSNvk52E2VFfejikd0zBcC8J60vz0EMD7p3viQQJcyJfPZxrnqYww1DK kOajh0UD2vP3u0rZNPLWw+ZLKQZG4VI2n+alh3m7h1irVErZMvLXw/bX8SXT 7WTMneanh8P+nIgucpWx7bQe9FDT0Wjds2AZ20fz1MNqy/kjPifI2HFaH3o4 Z8o6oXGTjAXRfPXwr8eKm+f4HLtM60UPg1er6OFUjt2ieevhdePtsw03cyyK 1o8emqo8bFE/xbFYmr8eHowe0Y0XybF4Wk96mNP7nPPc9xxLIQ89rAk5F3ot i2PZ5KGP375n72qv4lgpeehj3w+KZTsbOCYiD32cn6g/t72FY43koY9vvnu+ vdzOsTZaf/q4KiYsWSBXx9TIQx+fnR38XvkvxwzIQx9LhyRHZP3kmBV56KPP GyuHWBHHepCHPuYMzIiKKuBYf/LQR9sZjYpxSRwbQR4dx5/x4FDJE45NIA99 PPxe8ZfNRY7NIg99XNPrxMN93hxzJg99tDhZ4t66gGOryEMf4xVc14U7cmwT eejjbe9NrjuUOeZFHvrYNlN7j2eOjB0kD328sqjbuvu3ZcyPPPTRXS91jM02 GTtHHvr4pGd4SIaTjIWShz5mHMzfn/5byiLIQx9j3vhstnspZU/JQx+Xb/Ve 8sVTyl6Thz7uUg+6l9VXyhLIQx+vx2wZMq1MwtLIwwAbBx8ZP/CshOWThwFK EosDLoKEVZKHAfofVxx2VChmMvIwQBe127kKQWLWTB4GeOShyxabQWKmQB4G mHpz2urydBHTIg8D7J8Z67dkq4iZkIcB5lZetQ1WEzEeeRjg9f1WH0JChaw3 eRigUlvbHu8BQjaYPAzwRJbhY3hfy8aQhwFmPg7o2zqzlk0hDwPc+mi6xeuc GjaXPAxwak53+dPLapgreRhgQ6v5p4Pl1WwdeRjgRed9t26urmbbyMMAXeVN nVTKq9ge8jDAlpPgFru0ih0lDwOsainbnZxdyU6ThwGedjukMHNmJQshDwO8 sNShes77ChZOHgaotmWHc83ACvaAPDrmqT8sjx9ezl6QhwHe73t5oIFuOXtH Hh3nt/WtV/LuMpZMHob4periX9fyUpZJHoaYXX1nVeGUUlZMHob48/hy5Zgl JayWPAzRIC29Id+2mDWQhyGuPTllzPSyQtZK7zeG6HY8Q8sxrICpkIchynr1 +vFwcT7TIw9DfD3tYx2nl8csyMMQZ/1u2WD9KYd1Iw9DDHyvar/cK5s5kIch BimpTivulsWGkYchlqgKp35My2DjyMMQfRcvbhixJ53NIA9DVO51dckm/ne2 kDwMcf7mj/HKp1LZCvIwxIDmnrPnZqSwDeRhiF5re5kYmSQzT/IwxHtP/4y7 sSCRHSAPQ3T4fHftnLMfmS95GKKW13p375T37Cx5GGLTVQWNMrW37Cp5GKLT td87eDtj2R3yMMRcVYnPsuKn7DF5dFz/wv5/zvvdY6/IwxD3NTwycb4Xyj6S hxEmXdLi++w6yL6RhxGuG71AHOMWALnkYYS3ir4tKZwTDuXkYYSD+C2Bfsce goQ8jFDR8ZXWDJdn0EQeRmjcY5Tn3PqXIEceRrhqa9on+6MMNMjDCPn9jmcH nowHI/IwQjbsQc+Psz6BDXkY4SLPF/2X6CeBPXkYYazTMps/ackwkDw6nl+6 ds+cU19hFHkY4VNDS0sFQRpMIg8jVO0dt2TF/u8whzyMMMpy0qaQrHRYQh5G OG+0n+LBPpmwhjyMMD1MYC09kAVbyMMI/R7dVnyRmg3e5GGEZhA3/4l1Lhwm DyMc6jpK5YV7HgSQhxEWzhq+8crjfLhAHkaYL2gZNvxnAVwnDyMs797g7+ZU BPfIo2M+kXckbTuK4Rl5GGH7ad/5uQ9L4C15GOOgn8svVXuUQhJ5GKPmBc/Y Ao0ySCcPY/x6oywu9kYZFJKHMc7VqzHf6FQO1eRhjDWHJAGlSeVQRx7G+Eb1 nbHq4gpoofsZY3w1MeVvSnUFKJGHMQoiJubxtleCDnkYY7j7rJP1LZVgRh7G ON9Wf4zDoSqwIw9jfHLtu3eCUjX0JQ9jnJb+Q/vesWpwIg9jvL+zucdnxRpA 8jDGz2O3TjDyqYFp5GGM+V7FsO9XDcwnD2O85hE2s2FTLSwjD2MMNHvc5lZS C+7kYYxp1d7jUmcJYTt5GGOL6wl3izgh7CMPYzxwY5TdqG4iOE4eHa9vue1o Tz8RBJGHMVZlKaunSURwmTyM0XKnd1CvGWK4RR7GaHt+4Wr7CDFEkYcxNi6J HvReTgKx5GGCGbp+NsIFEognDxMccMno4fm7EkghDxN8cNMo+/VPCWSThwnu ctZtn49SKCUPE9zutffv/BNSEJGHCSZHlpk+S5ZCI3mY4Ic2mcoGDRm00f2y CZbN3N20ZZIM1MjDBHcf2nk87oAMDMjDBN0vlHyZEi0DK/Lo+Hrkuf/0KmXQ gzxMcGqjpbmWPgf9ycMETSPcrjiN4GAEeZig4pEDn/2WczCBPEzwkYm1ttIh DmaRhwnOvj1xamgoB87kYYJVx97nL4jlYBV5mOCLM8EhPb9xsIk8TLAkwCVT r5QDL/Iwwdz995boyjg4SB4meFo4eQe/mQM/8jDBY2K3soltHJwjDxOM1hfW j5arg1DyMEGHHb8Hf+h4PoI8TNDIX0nT6jcHT8nDFI3GJZqe4Dh4TR6m2BL3 wFe5nIME8jDFoOVnVS6lcZBGHqZ48kbw8/FxHOSThyn63UsYrBbOQSV5mOKl UuE14VEOZORhipbLFI6JV3PQTB6mOH+V+Jc+cKBAHqY47nP2/pUmHGiRhyke uvzWpEQoAxPyMMXn7xJHBL2UAY88TPF76/m8Pcdk0Js8TNG595nFt2fKYDB5 mGKI2PKiiYEMxpCHKZ7KjqvISpfCFPIwxT+jBimLA6UwlzxMUeVBwOBlU6Xg Sh6mOG+smfWwdgmsIw9T3PNzScGhJxLYRh6m+N9f7s+EFRLYQx6miGtd9/hr SuAoeZjiac0stjxaDKfJwxTH8H7dSFkkhhDyMMUnc3esLGoWQTh5dJxP9v2I axdE8IA8zHDllol+5gNE8II8zNDi+n2fpUlCeEceZqjwn6+bl6sQksnDDHeI HI56SGshkzzMsH3sn92ue2uhmDzM0HnnrZkTVWqhljzM0IQ7smrE6RpoIA8z PJOc5j3NsAZaT3cO0Aw3fku9f/R8NaiQhxmmOjVvbTaqBj3yMMMvJ7XPPD9T BRbkYYY+Txz6p2hWQTfyMMNhl/LfzzhSCQ7kYYYf/EWaU5orYBh5mOHNs4cF qRsqYBx5mGG9SfOGH/nlMIM8zLBF+VFgwpRyWEgeZpjwWnpiybMyWEEeZljU djfovXUZbCCPjuOPHttH51gpeJKHGTpyAU53MkvgAHmYoagWkiZdKQZf8jBD o4Vep7otK4Kz5GGG1X2WHFhnXQhXycMMPX0vKw3Oy4c75GGOj0qDm56dyYPH 5GGODzM2nNWfnAuvyMMcJ4622L39dzZ8JA9zPCrYGSkXmQXfyMMcdays91Yt yIRc8jDHwsTNl6bJZUA5eZijo/KytsUR30FCHub42nuRdPSsNGgiD3P8wtMo HFv5FeTIwxyvTRx42sX+C2iQhzl6XzdtsFmfBEbkYY49z93yKL/T8f5PHua4 aZZtVmtZPNiThzl65PoM+2TxDgaShznmv94l3+PmKxhFHubo3GYQvlf7OUwi D3NclrVezksUBXPIwxyLn40fYv/iJiwhD3PkMvY8KmwLgjXkYY59YzfGvIjf ybaQhzkeODtHGFByhXmThzmGGpdH+nSPZIfJwxz7HfEU6fV9ygLIwxxl18KW 9PgQwy6QhznW53hMn7PoDbtOHhY4b+eqMG7He3aPPCxwfKTM0GDER/aMPCyw eLsXxv5NYG/JwwIHbhzX3//tZ5ZEHhaYP2bP5MH7Ulg6eVhgfc/PM5c6pbJC 8rDAJJO9o5yb0lg1eVjgl80xIzfNTmd15GGBQcErR+OdDNayttPDAmsvq/Hv tWQyJfKwQKtSR4ODM7KZDnlYYELl9lMhV3KYGXlY4NPBYWuTa3KZHXlYIER/ SJL0z2d9ycMCbZ8OnpjjVcCcyMMC7w46+m3ly0KG5GGBy15vjl/TXMSmkYcF Npk9l8YOKmHzycMC37G9SVeGlLJl5GGB9iNiBi5NLWXu5GGB62Xf07Tdyth2 8rDAXgs12y+3lrF95GGB81NqXBsCy9lx8rDAxTe3p8rzK1gQeVjgpMe7jsQ8 qmCXycMS3ys94+RHVbJb5GGJf8/+zU79VMmiyMMSi3atnKY3s4rFkoclRkYM u//0exWLJw9LzIsf+PDOvGqWQh6WGPdmoXNhejXLJg9LbBzzW2PC7BpWSh6W KJgfsfdbUg0TkYclDlmgFbcJalkjeVji0mdvhuhF17K2UZ0elh33b7ov7gmE TI08LPHyxm9rHc4ImQF5WOJzucbUU3+EzIo8LFFXeVZ53CoR60Eeljg3zJy7 nyBi/cnDEr86no36r6eYjSAPS8wK3YE3jorZBPKwxGk/tvYLLBazWeRhiRMU Q9z1hkiYM3lY4n2DmDkWvhK2ijwssX7wjSfhORK2iTwssWqK56cwgZR5kUfH 9bp9GaK2ScoOkoclLr9WaZXxWMr8yMMSd6XHqjTXS9k58rDCksfKDVscOz7/ k4cVvvGa+l//9TIWQR5WmBzwWHNImIw9JQ8rfJ3QuN/ru4y9Jg8rTB/gsFfW LmMJ5NHx9aLzMy/25lgaeVjhnWKnmI3/cSyfPKxw15aQhnWeHKskDyvUTJ4V fTSYYzLysMJmlWM93kdxrJk8rFAxy/OHWQLHFMjDCrlPqSNP5nFMizys8IOv +VVdIcdMyMMKd2v/6HOvkWM88rDCtBMLDyxq5Vhv8rDCX93K52jK1bHB5GGF EzxW8GraOTaGPKzQYJW83Oc/HJtCHlaYqOsY//oHx+aShxXOMjBc86GGY67k YYVj/RYvK87h2DrysMLMHIXbuh85to08rJDfu8fdxQ84toc8rHC77NYsFsSx o+RhhQX2qe3jPTh2mjys0ed9c4h4JsdCyMMafTPaPV714Fg4eVhjptZHl+d/ ZOwBeVijuWNgWFmKjL0gD2vs9mlL24TLMvaOPKzxEs/ncdVqGUsmD2vc/6Ln muReMpZJHtYY0DBldItYyorJwxoHXXHJ3HdPymrJwxrjyw4NWbJWyhrIwxpH j/IruWwlZa2GnR7WmN+zMn5ymoSpkIc16vw8jhsOSpgeeVhjFEu21+onYRbk YY1bYwa9GpotZt3Iwxojih2v/9orZg7kYY3N6xLrF9qI2TDysEbdLOi/8o2I jSMPa/QweTrRbrGIzSAPa3zyPPjInXohW0ge1jjYZdCNluNCtoI8rNEg2f5V H3Mh20Ae1jjRL3bG5Iha5kke1pi8vc8wl8G17AB5WGPZZIu4nW9qmC952KDG zYcet8fXsLPkYYMpLunzfidUs6vkYYOfIldFH5xcze6Qhw3mD58wYvqnKvaY PGww3mNvrTtWsVfkYYPeNoMNRLGV7CN52OD6L2xpiUMl+0YeNnhE3u/94vAK lkseNrg3SuHwBsMKVk4eNlj884Cj4HA5k5CHDT6M0rt1XlbGmsjDBt2/z5fP dC5jcuRhg8csh0fVvStlGuRhg9sdXs5v61HKjMjDBneV92C2JiXMhjxssO23 mNuWX8TsycMGr7yarGJ6pZANJA8b1C/qjsOdC9go8rDBjdOUp7Xr57NJ5GGD 443MRpxJymVzyMMG27cu9Dfdl8OWkIcNtsw+ZhbXN5utIQ8bNB06wPR2fibb Qh42eL3ymkH7sQzmTR4d8951v7rBIZ0dJg9b3Hr/yat7WWksgDxscc3Fm803 Gr+xC+Rhi7v1Dz7jjUhh18nDFm+dUz/Qc99ndo88bDF+7uaLWnEJ7Bl52GLG BpfbPX59YG/JwxYLnFfeSun/niWRhy2eG7Tj9f201yydPGxx2l3B20GjYlgh edhi7J0zWaW3nrBq8rDFpOQLSZ9MIlgdedhi3ZfpGPH+EmsRdV6wLa7wF9zN OreBKZGHLWo9HuJaYBUMOuRhi3rC+2atH2+BGXnYokV/115/mx+BHXnY4tKP k0f4nnsOfcnDFlv/4ymLe8WBE3nYoqLCnIg/S98Bkoct/rl5sa6t2weYRh62 OOhESetd4SeYTx62GPPlemzY/SRYRh62GHxCbU3ghi/gTh62ePrB9VBej2+w nTxsUeVKU2zbljQYQz+OwcMr9m39apO+wwfy4eFJ88a+4bwMmEL/XcND7chu uxW8MuErefFwdtEX25KkLJhLt5M8fGs5er+OeQ7kkB8PNyjLj3Nblwuunacr 4OGWltpd7x7nQRl58vDpLdMT9b/yYV3n4Rx4GCv+OyJ9ZCGIyZeHR55NTxyx rwi2dc5nGA+d0jNSFF8Ww0/y5mHAqVXLVBpKYE/nvMbx0Mf4g8Lp4FJoJ38e ntl0a7Vu3zI42jm+GTwc/3LzOc/4MlCnf6/hoT2aWdxfWA6nOy93EQ/ne41/ e722HAzp8ykPDcQeZ8Z7V0BI5+FW8vDh3tHSQ8qVYE334zxs8T/sNS2oEsI7 572x43rbD9kGmFVBT7of5OHpR797OYVWwYPO+e/koY3NoF7D+NUwgN7/ePiV r6Z0+EY1vOjk8OHh5llFTYq2NTCSeudh7/wz56Mu1cC7Tg8/HlbHr/m6Xb8W JtJ646Gg+Vv12OO1kNzpcY6HfWfPPaHdXAuzaf3x8Kba6OjEdULI7PQI5eGP RytTV6ULYTGtRx5es/kQ/n2ECIo7PSJ4yLYMdla9LoLVtD55mBAp8fklL4ba To/ojuPJ6+hfWCGGzbReebhnDW9jTpwYGjo93vAQR/ksemwogV20fnm4uN8r DRN3CbR2eiTysCSitntbrAQO0Xrm4Xf7uphlKlJQoV9n4SFf9nqMwxwp+NP6 7rg+i80Rqy9IQY9+3YOHEW2b5zflSuE8rXcePjnkb1RsKgML+nUDHq7cUd/P cJ4Mwmj98zDohc2S034y6EY/bs5Da5vkxClvZRBJPfCwtDzWcpRMBg7046g8 LL943GOVBQfR1AcPJx9d5vpiHAfDqA8+9pxxp2agGwdvqA8+umRcuphxgoNx 1AcfjSfnrj93i4NE6oOPP0aVZ3m84WAG9cFH5Vzfr+7pHHynPvjYu3rmG68K DhZSH3wUC58FXKrjoID64GOJyrHQ1N8crKA++Hg86U+aaTsHVdQHHyOXNb8d JlcHG6gPPvqVCfcU/uWAoz74uD+HZ774Fwee1AcfV0q8u9dKOPhNffDRVry2 1q+YgwPUBx/N3n3oPj6FA0Xqg49VDaFWhi848KU++FjcKj3+9woH2tQHH42O jbykfICDs9QHH+cFjFVwdOXAlPrg45HzO0X7nTi4Sn3w8X7usR9NWhzwqY+O 8w9KHBpWIoM71Acfj+68MHVflAz6UB98NNh1e+C53TJ4TH3wcc9X3CFFGQyh PvjIeR2SD1SSwSvqg4+vR26fcvCjFID64GPwvB49Px+Uwkfqg48fkt5zHsOl MJX64OOXmB3rjsgk8I364OMG/1XvVK5LYB71wUfLRX7hyrMkkEt98PHEjlM8 v2YxLKU++Dj28K640DAxlFMffIxp375i1ngxuFEffGzy93C7VSECCfXBRx+j xDMPDorAg/rgo5xmrNoOCxE0UR98dM9ucVF6IoS91AcfnR/2Pbh5ghDkqA8+ 7tIY8TUusxaOUR98TJK8am1dWQsa1Acfz5iOtwdJDQRSHx1ex+8kBu2oASPq g489Zg98JNdcDZeoDz622eZrh+6uBhvqg4+9bi7Z6N1cBTepDz6+bJhzJ8yz CuypDz5OWTW5QSCrhIfUBx/Dc2OyjNdWwkDqww59mhXtj+dVQAz1YYcOzqt1 j0+vgFHUhx1OU09q6xFXDu+pDztMfPoyeo99OUyiPuww/mDPwcHBZfCF+rDD Rw4DUg63lsIc6sMOAz1qNF1Xl0IW9WGHH/TV/FYHlcAS6sMOB+0bpO+wsBhK qA87jHDaPXWMWRGsoT7ssH3ixAlx2QUgpD46/v6dPUdSzuTDFurDDv8eCGm8 NDUPflAfduhimy6e3pYD3tSHHU5fYmGr+Tgb/tL9hB2Gl9rdkFueBYepDztc PWRO4QLNTFClPuxwRkH4qcHP0yGA+rBD5nKBJbh+B33qww7nJzV9dFJIgwvU hx0OiF7itmz6V7CkPjrO75o6e346Ga5TH3YYujol8vO3ROhOfdjhr/+s79Zp foJ71EfH/CT7zx6aFA+O1Icd1k09P+Du37fwjPqww7Nm6i77NryE4dSHHcKL bnIDM6PhLfVhh6/X137gvB7AeOrDDg3151m1jr0BSdSHHU6SpE+/08cXZlIf dngwfFL/q9FHWTr10THf0PFFRmuus0XUhx0O1OqhD5fus0Lqww6XZ6b4H14b zVZSH3b4LfvCWsXWWFZNfdjhiKcDZ20PfMs2Uh92GJk+ggvUjWd11Icd6tvc P+uQ9ZHtpD46/Nnz4tEhiayl0+O7HfY60K9+nXMy86E+7FDjoPn4ecZfmRL1 YYelQxZFP/iWyk5SH3aYWXIxSWfcd6ZDfdihzfut8yIup7Ng6sMOj85RDW+u y2Bm1EeH10mrW1kTstg16sMOTx89fMH4Qjazoz7ssP/g8WqBlTnsLvXRMS+l mBKz/nmsL/UhwMD3Z5b7eeezJ9SHAFN7VPaJe1PAnKgPAa7aoT/7SHshi6M+ BKiwNXZM3OhihtSHAGdhYOlI7xL2ifoQ4I23IZO3Lipl06gPAQ7itga+rStl qdSHAJ/7mNU3nyhj86kPASbMWJyjaV3O8qgPAVrOe1NX+aicLaM+BKgrzRiw HStYBfUhwIid7jk3vlUwd+qj4/U1n7ivWlLJpNSHAIP6eb4Mr6hk26kPAa5v 6Cb5b0MV+0V9CPBm0M8dy2VVbB/1IcB+bSUmcVurmTz1IcAVq25x82XV7Dj1 IcAT1m+2Wm+oYZrUhwD72E9ZqVxRw4KoDwFqn66q/etcy4ypDwE2ffY70fyl ll2mPgT4N2maVc1IIbOlPgTosNSgOi5CyG5RHwJsrnU+tt5AxHpRHwIEnU9/ y71FLIr6EOCCfp9iLAtFbBD1IcDHhywPq44Ss1jqQ4D37y8NvhwiZqOpDwEO 83bz/1wvZvHUhwBFse88T06WsMnUhwDd5Jo+pV6SsBTqQ4DFZpWrztZK2H/U hwC/ajZdSxwkZdnUR8f5By8Yvm6vlLlQHwKcmantvpZJWSn1IcALjrzU1+1S tpb6EGCorf/xNaNkTER9dKwn0TiLBTtlbCv1IUB7Cyv/E/dkrJH6EOCZs3dn /yyQsd3UR8e8neQWhKhzrK3z81ChACuaTrZvGMSxI9SHAEeMDO/jvphjatSH AHsGjHXw38uxU9SHAB9uPJ2VeoljBtSHAC9OXbl+4DOOXaQ+OuZ15OX9R8kc s6I+BDh1tSBvQhHHblAfApRp6kZyYo71oD66oWy22ayoJo79HwKX+Z8= "]]}, "Charting`Private`Tag#1"], Annotation[{ Hue[0.9060679774997897, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxTTMoPSmViYGCQBmIQjQo+2M+aCQI37SVYwvh0N52F8l/ar79YtKD91rP9 JsYg8Nk+3NjguNGpj/sh8j/tQ5wmXmb+/WQ/1CCHDLtXF+eUXbYHKzdmduiz VvmsVvPBPg0M2BzYNl/gUnv8zh6sfSang4DiOR6z0CP2Z8CAx0GFm6vv4/wX +/+DAb+Dg7Zm4cOtH/dD1As6PDyefa6T+fF+iPnCDss+2tW8+Hvd/ixYv4gD l/d84aqnH+zTwfaJOVjNWRPFuvitPSPYeRIOBlfSEngObbWfDTZP0oFdYOUR a89X+03B5kk7NBp2/gzt/bj/PNg8GQfPihdTI7492J8JNk/OoWY6U/3ZzDtQ 8xQcjr18L9Zo/dH+HFi9gkPOr9pebsc3UPMVHRhmpX+cwdZmnwHWr+Sguim9 u+HKa6h9yg5vnq1ety/g435InKg4aCxU/dG/+i7UfhUHh3ab/vlRD+wBZxPD Bw== "]]}, "Charting`Private`Tag#2"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10.400000000000004`}, {-1.111864832, 1.0770274063093992`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], {{}, {}}}, InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], LineBox[CompressedData[" 1:eJwVWnk4VO8fte9lyW4wY8qWiEpRX++HRCFElJRKRImipFBKigqpbEVJlqLs UpRea9myZ69kX2bmZt/5zW/+8Zznup/lnHPn3nOfoThetHJmY2FhKWFnYfn/ 3xc3Hbk0nR7q+S+vMT8Eqmghmx0hn0ONv7xTG5l47dvXO2TydbTJ68ULAyZe /6Qgm68jELGzyAzbrBLoRUmYPCf5Pjo+nX6Xb4VAaoRT+JrLI3Szi3Lj1BKB fq1/ubrc/gR9sLzQfGSBQBtTebUXl6LQ14Xwh/9mCXThP2/3OflnaPZ8apbq NIHyWnuTp/fGI0uJYSOuCQItupn1TLgkIIGdL47doRPoFWvP/bl9iWjXe7WZ xFECGf54vGm2/TWi9wspOA4SaCTWuHT6XDI6kt9DL+8lUKjTyvGppRQUuFP3 7PduArUsuUb+k09DLTLfYvMaCXT1u9xWIicdOYV8vhxfQyDpp6219L3vUcSJ xj1KFQRyVAX2cZcsZB3/a0ihgEBsS74N0/7ZqKLaYuJpJoFae21kp/floLoL rXvepBLo2nv+wsn2XKSVMTOTH0UgkydDXJOv8pC9zMeorFACka6VHp44l4+s BVq7zO4QqGSvzz9i6QNKKzepvHiRQNzdfUp0+UIkGxfnemwvgTpKir1pI4Vo ql7yuvtOAqWnxpaP5xQhkv6uzRs3E8jcy/zk2N4vKG1zF9cNYQJF8xZFD7tg dPNLWkdvJwPl+5h4XZYsQYNdnzeL1TJQ/NhOqSn/EmTAyn2a8ZmBPBpFXCb3 lSJ3u3TFiHgGEomvYptoL0OHlx8bR9sx0NL6grRLe8rRvwLv+lljBhq4nWT5 71U5ur4r9PPKDgYqcLn5kjhXgYIqNrxcE2KgY9u26zKWKpFJQlR0ZxkdJdYk eI7LV6ONJc9AWpyOpmM/qP4JrUZFGkFJXCs0ZORS29+8UI2Msr20w/tpiMY+ Z1PUUoOWdvBaXsqioV3/meveD65DSTfYjj4woKHGrGU2JaIBndR2tj5vO45E EK/DOvVGVHxYR0N75zjarRipG+zUiGbvmTgnSYyj8Om0Kd+mRqR1PDH2TPsY 2v74p7Pjuyb0+tigR7DVGAqoUTPRPNmCBL1Lw8p3jqK3OR8V30W1IJ3m88bd IqOoOdaAfVNdC1IptaqPo4+gjS5Hv0jqtCKzfZqmUq9HUA17kDrLhp+IZWrZ W5R7BIn/1y3S8K0N0RVKFwNLh1Bm1v3uC+pdCK6cn9qx3I/GRMZCTU53IS67 Dq2njf1I6aqJnnJkF8o9yOuQn9yPXu3hT+xf6EJYyzfU0KwfPakOPXusshtZ uSmzvYvtQ1f7H00YH/+Fpl59sOBR+osS+GvvCO/rRU+l18/W7u5BLqjpGc2r H90V/N2sdbgeeQyq9OdnjqJ9VQZyHL+/416HTp7S6lGkPSr8puhbFbbuCFH/ MTCKVE966JCyqvGu2uHrg9Jj6JH2NZ7Wm7WYPSdFSDx4DEXwtF7GUg041p+i 53NyHFWbxIeck23BpRuknukI0VH72SmtI3xdeHtY1dd9m+no1gnec+5Xu3Aq 17WBQ0Z0NEk261Xu68KhC20a5/3pyKSj7cf9T93Y9k/kt+cjdCSck/ew9tQv PJYuNL1UwvTpTy8BXotezEcJUvqz6x8q0bntwnu6H1fteaxxc98/ZP2sPp0R 2o/vHX25U9bqH/ocHXT/2ad+zBbxydje7R/64aIkpCc4gBdXaS7tL/6hX/Xs qvmFA3i8x+ZtA9sEup3RSh1iG8Lp847ZHoITqM1Z9d6o6hB2Fb30aR1pAjHm W3PTrYbwgOmDKtMdE0hEdznCKXEI9xR9HfnuMoF+3NkVlbZ7GNfFKqmU1E0g gYJsNrEzI/hB/nbNk50TKFGMSx7fG8H7G/V1Vgcn0JiN2qJ8+giu4D5+YM/a BKr2JBlz/BvBX65GnPukOYloKcb9ptdGccbhhbTs6EkU9EprX4DvGL5wiSvX ImkS7SQcsp2fjWHV0A1FjKxJJO7inrb8cQynlm+pUaueRI+60jp0p8fwSy3H sbdLk6g61NyV4TqOw4VqVRNPTaFCLg7zYQMaLtwp+8HcYwr9sO7waHag4QGH i2jZbwrNcSzxHfOl4d0ZGw4fiZlC5eMG2//LpuGRA8dvrKufQv6cl4QPSNCx qGcm9+fuKUS59b163VY6RrEsT1xHp5D7c1/5C/vpOHooObWcYxr9kr5kPu1D x3vv0Buu755G+juEi1Sa6dgjHR1TOjCNNjOmrHKH6fh50+OBVttp9D6BjbN5 mY7/yWsvaHhNI97ZrLCfmxj45ZebCkNvp9HypTDPQS8Gru5vfP+0YBoNnOTl k7/LwNN81J36FdNoz+3rT+nRDGxq9900/g+zfmzrrf2FDDw/I+htJT6DUo+Y HyTmGZgq67i2Rp1BI54c49XcBDY3zL+foTmDWpessnaKEzjlydGXPAdnEPVx eV+tJoEbC9OVC47NoC0ZShMTegRe7l3OPeM6gx5kpDmlmxLYSiPx+9c7M0x/ CtQ0nSHwTdupQxcezyDXO1oucJHAaTf29UglzKBttuwl4EtglrrRf1eKZpA2 o4Z/NpzAm6d2+ylUzSCXHNmC9FgC20qHczb+nEFB8y0P/iUSOMNVS3rzBHMe p1YtjTwCdzwKSu5YnUGBea+qlT4TmONjm/o9gVn0IfuncE4ZgTV+Kxduk55F xt/ZJ2qqCXyM02/vX6VZ5KtpYO7dSOB7aj9+hO+YRW8sNESy2wicYy1/dM/e WWS4+E/Rr4fAPb6efaOWsyikfvu1tr8E5nldfiHGYRZ99N46VTpE4G3VYnOG F2YR/3Divf/GCezwz+X25PVZ9F9yg8IBgsAPJIr4XwXPoqx/IYUDkwT+oCcQ fTBqFmmxK+oJzRK419mBvPR6Fp3XCkmpnSewQFh2+tvsWdQsIz0kvkTgnfls O2y/zqIjlQ1zE8sEduw+jNnrZlFkoWLr8VUC88X9dffsnEUVAXsGrdcInHvM g/RnaBbdbhD9/puJj0kv1ZhNz6IMiS6fFSZm7wq+XsQ6hzQjN85lMfH7Z6LK yoJzyMFicd8ss95hu8S2KNIcuizXcLZxhamvpPpddtU5ZPss6IQes39yR9E2 z51z6Mq68xqwSGCzWOO+34ZzqNZtT//POQJPH2mNMLOaQ1Qtxdtr0wSOlziN ik4y61lgkeIJAu9rp9OV3OeQJ/u6pPUMAjOifeOjfOeQeeFtvelRAkfbcpuy h8yh17+WJ90HCawnHrlwKWoO3c2qafDrJfDQT/Lb36/nUJNA8qBsN4HDozJs zbLn0CudTKPDPwmsbaPLWVQ8h+ivfbnkGwgc3GrtGNUxh55KfZ7zLCXw1she IfahOdRy+sKRxUKmf6zd8aWpObSuxM5LIpfAyi33SGbr5xHn7OI+IabfGp9s qC2UmUfOx/V30WIIfM3q1XUllXnmfX3k6AmmX6ubCtvYDOdR4S/2t2vXCXy+ kRZReH0euR9fcthvRmCRiOtIKXgeRb4YjWtCBC6y4GJERs4jB09pzQktAvM3 yJteyppHKrU/NkxLMPX4YcWpNDiPOr5Tf677xcCHw/7kRU7OI4Q5B81/MPCy 2QVHNpYF9PXV4UalYgY+WHcX/5JeQINiAmKv4xiYUfPpeqTlAhI+eyz1qzUD Rz/Yp8zmsIBu5Hu3VwAD65k0t110Yx63UMFOWxj4UfX4NtN7C2jx6edCL04G 3lolx2D9soBk5gK66rPp2LMyyPGi0iLaKnKGUjVNw3IDRlyz2xbR6zGzFPhF w7VsvOn+sIjeO6oip0oa3gRhE/ftFtE/sdv1GZE03FkUdSv54SLKeLTFyEqD hvWzU192EovowdzFDVSbccyodzU4tbyItD9kzl/cNY7j6KpDQzxLiH6oq/qC zDieUc3aMk1ZQrdMDtzz6R3DaSkfv6w/vITe17fPdp0dw8JxVV17Py2hXlvh TSrOo/hr4YObNRVL6IeQROXLvaPYrcNM4VDTEnrrd0KkhjKKK8WazjmMLSGH zIS9e3+N4OsRnfPXSMuoZGRKstZyBP+9OyaeeWsZBV7U4AlVHcY5lwSsJQ+s oPSsgNqOdwO47vmG6xm2K0jome5jo5sDeKhCOsHAaQWhTZcvu1sOYGkplfEL ASuoJi+bZ3SqHweV7rtT+mEFnXGw40vb2Y9tRQLyziusoubjX3h7cv/ixbyJ DcVLqyjzoSzp0kIPTvRzG9t6hAWKE3NfKEvW48CE5UPTNFZYWVDW0uesRpZb P3lunmKFGuM7u6u6qpFc6eXHjgusUC159zhHdg0q6htrbORkg8VOdfTErg5N buq0yJBjA+u8i1tK3zYgx/cfDp61ZIMdzq8F06VbkH6hx4GOPDY4dCvY1MWv E603UT0nWMQGZ69MqG3904l6ugZDjErY4PyCnlSmQRe6tny8Kr+ODY6sHH9S wdONspGp8eNBNvDgvlGw53EPIn9T2mciwQ4/XvYaOj75g1haeuGLLzvohL/W WUntQ0GjXxN9b7PDwvec131tfYiX5QWbTgg7FEvz1QRz9SORLXYVH6LYIYHd vWa9cz/aFNxknJXNDrNnMduq3AAy2V1m/nqIHZYy9ta23x1E9YdeZZ2is0Mm z/k/HjmDyNr1ppD8NDuITcrPfu4ZRMejdJvjWDnA2uHqL2+tIeRB5NpEkTig 8+2td0e7htDTpKTjIVYc8P1NzkkHmREkWXS72MiOA1o/88eLGIyg+MaTcpyn OOCN0iGZK64jKHVFpve2OwdM7JHs2JM/gj4diTzjF8IB+f9dQO3Go6iH/+55 j68cUHByRLHcYQydUjhTq1bJAYGHNTKFbo2hwV36auO1HKCrntjMnjiGGM4r dJdODrA3ydXq/DuGWEu8PU9Pc4BFuN2h7cznSsUrZ68dVuWEpaGXVMv9NLRF 9491wlZOeFCxedPkaRraznJUY0ybE6IEFn4hPxoyCD0wFLCXE35/wwd+vach h2S1w++Oc0KkFL+QpAAdOZ9P0Zh15AQHmbYaQSodXdgqx69/jhOc+1zXsnXo yPeLYFmbNye8IknXMJzpKLp1UoPtESfElSbXWhbR0YvnbvwHozjBqCFlW1g9 HSWfGhiKieOEs3rqkp59dJRL+/liy1tOMG1+5qbOy0D1HIX8dqWcoLLAxX3d ioF+1mgOJ33nhKAYA4nxMwzUE5FexvjBCREePiNs3gw0Roq/HtTFCUkbG9mp 0QzEuSNgOGuKExLKd7TItzKQwNJc2eICJ+T398UW9THzWemll/tYuMD/7mzq wj8GIh90tOkW4ILKMyrTZwQIpLShe6viBi64bvTnb7gUgdQ7rQU8pbhg/aiK 9wlFAu1x3lfOpcgFZw0uzQzoEWjv5q8vD6lxwZaHkc9emDDz6oS2b7wWF6hE JBxasCHQ0RvKmlqIC5rPP/V55kagK1H8CSeOcoEM1wv1608I5Gcf5PvWgQsa r0quGsURKJCyYjPlxAUNVZMTBUkEishgCNz35AKr+6/7/fMIFHPZZaTFhzkv S2JucxGBXur0lsvd5IJrs5b7a0oJ9L6yyTf/ARdcuC5z9WU9gfIemtiuRXBB hZvsiG8rgYoOlWuaxHDBW4lXrfOdBCqV2LMu6gUXKAUc3iz5h0BVv/JH/iRx wVQQx6+OfgI1JG2pUE3ngjCpp926IwRqO5ea4J3NBRrOy1J6NAL90pD3Kyng gosMm9A+gkADMzG2/MVckFJcr6Q8RaDX+tsu/yrngm6Hefr+WQKdDKt/lFXD 3OdEmvriPDPPd557f7uJC9Jq/Xt3LxGoayNntXUHF4QsPVlat0Kg2EuvBjf9 4QLSs8fXL60SyPbLbrb5QS7YW5pkc2aNQKI87XI1NC5wEvENHWLiJmuv3fFT XLDy0YS0yMThCeuOeixyQf+lJo6XTGw2/vYKsHKDeoSFcTOzHt9Ow8ciPNzw c/7hUDSzX1Xgn4yB9dzALtoyNM6c5169b02BGDeIl80ebFpg6i0tPhxC4oaD RuZU4zkCsZzNYbenMuttKbh4cJpAX3PMyFtUuSF+S8R/A/8I5L8yvGdtKzc8 4yiP5acTSOfAHbumndxQaVoUXs7kczZS7mqSHjfcMzmrLjBAoPzewife+7hh rHR3yOBvAnmp2WQZm3GDXt62TAumXhrX/tVKWXPDYUptnkkLgdIFlTi/nuKG y6MOeVOVBHK1L6NEuHDD6eah7sSvBNr05oSeowc3eOZt1P9bQKBXepE+XP7c UMrvoyGaSiCHBxqRHYHcQP2kOsX9gqlHW012+n1uOLHY5Br2lOk3d9Yx8xhu UNb9RhwMINDhwnguyktueGVSaHz/CoFEOHdRp5K54T/y+G/bc0y+4z2Ox+Ry w9y2Bte0QwQKqu2u//ODG+Jcb4RvlSWQgYTPeE4rN5DbflxnEyTQmqMIT1A3 N9imxnG5shDId3G/vvIoky+HhSbGXwa6pFKQd4mDB/LmVeQnEhhI3ftQowE/ D5z47L3kHM5A4yU0mqgID5w+s6pzyZ+Bzh6lKhbK84Dexv7OfUcY6ERwRCzr bh7QDi/rWuZmIJPB8zeeePKAUrCFYYcNHRndoL43vMYDXQc93Xfo0ZGBWE/X 7E0eeKDpCFsV6Uh338Fd9qHM+hYblFlmaEg1RWOK+oYHHMv0NomE0xC/87Tr hx4eyPlnscMscxzxrLyPcennAcxyJPF9xDjiiHL+JjXGAzOsMfbZXuNouaKN enOOB2RCDlok7RhHtI2Fv41EeEHlLEuwwccxVDdw43CHMS8EvTxeVJE2iqr8 te88MOeFBmnS+MN7o6hClMjZY8MLL4N69q04jqIvhqcEEx15wTPu29Fe6VH0 Ptmg5twNXtgke8v8w70RFObEDUu5vKC7uqufx2IYmQ9EbJaT4wNsuWzJmjqA 6jYPtB7fyAcm4Kwk6j+ATC/vvBmnygdFnfyi44cG0H62342SO/mAa8eK7PBy PzIgb766wZKJD0bFbbLsRzuOV5bwBPIBJeHEi820v4jUumAzNcgHu4iEu4yl X2is3PFWVQY/qA++Zz1r3oTUhdtk955cB5JjqZ6eKlV4KGwoMMp5HaSeqg+k sVXjF3xzw8Nu62BdY1ocqacaC3BI5oZeWwcv2U8VPg6rxWOzdkZtj9eBd8jN dyG0epzS88vjXMU6OHjw4W3dumZMejuIH6msh2e/2Vm8TDtx68bZjX0a62GT tuxO0ZxO/DCR68F27fWQSx5yOyfehRefKx3uNFgP9pE3hJR7u3BH2LkRhePr gV34kfHPiz346WW6UEH4ehCJ1skYu/kH86GZ0z1T66FLmXyeN70PX9NX5ilY XA/XXs7/edfVh4f22mc+YhWEw/sXF/n5+3HZ/tJFA0FBSCQ7XWNz68e+VmFP 01QFYbbpqFqB0gAed95UefW0IGj+eOX79ukgPuZ61M3SVRD2XdS5344HcdX5 h8KqFwXhj02wQNH4IE6+OHHil78g/O4M4YkxGMLHrxfP7o0VBEOHoe2vaEO4 LtRGWbhBEJbfvKO5a45g3Uch9WM/mf02JOmHHx3Bbx9/vlLRIwiDe/4NHw0Y wUHRlFKfMUHozEvmHq8dwXKNs2oEmxCc3k0jpk6N4rbOskobOSHo/uNqqOQ7 htfZ98SWUYSA/0fV4ay4MWzYM+OmsUkImoStSzq/jOHc38oivGpCoE4yb9+w OobD+8MdvugIwf6H/k+E/MexMf3YnIKNEMgsvVutc6bhl6J3WgKOCgHlvODX 77doeHr3u6weeyGIMVqrPR1Hw68eLLlEOwrBE+tWN68GGl5Uiu/gvSQE3pnV W5a16NjSoiL/7GUh4FoRqx02oePUq7SI8qtCoPIf4r3kSMfWlXsO3LghBJWp yqo2EXT83vFX4b8HQiCU+iD63DAdsz3gjD4YLgTW0yXVmst0fDRni1f6YyG4 neZsGCnEwJwsN1WdYoVAhPPTsuIuBnZ4IRfXnsLcb90TPf9ABs6vMPLZniYE 51C/q2AkA/PRPKwfvxcCYsvldt0UBv6oi/lN84SAjSv/md03BhbqOOn/tUQI Lj2oSc9mJ/DZteCjMhXMeduDB9eECfxFMXv7te9CcGXAuHBQnsDnvFnomvVC EHDx1aUrugQuiVeuDm9i8i9FWSQZE1i8wjJlvFUITghcdbW3JnCZSOKJlG4h yIvpNX92nsCSutU6bH+EwOCX7LVYbwJ7nJ4QO9knBNtaAkbUbhFYJlu/XnJU CIRlQ4XEIgns1X4u3ZsmBNFHMoNcXxC4avXxvWZCCPD04CfLVAJfOdinFzor BGfNNo79LiBwzRU+mdEFIajyYc0K+kpgcrzW3L4Vpr6pieVfKwl8tfxYy2sW YdidfkswrI7AP8YCs9bYhYGyHOxHNBN4o8i7h8e5hUGTW3BysIPAvjotLoV8 wlBwudvh0m9mnj61tFd8vTCEuFGywvsJrBhCJV8WFobKzjtNMEJg/yzT5QZR YShOES24RyNwc9vlDjVJYWAZPWx+6h8zn6/G5d+XEYZA8o6wH1MEDthUETEk JwxTR8Vc6mcJ3GZGu7BXQRgUbSubHBcIrHZF9MCrTcKQ9iGo4sESgQPj9mxa URaGiwLsu4xWmPm/zIn1mJowJK+dVIxaJfA//S7pGxrCoCSsUuK2RmDuUovt r7SEQd/S7W8/E8tB5cHyHcJwUqgi5P/vU7SxrsvQLmGgPx3+8ImJzfWyb/Hu EQaddYnnxJjYuXjTczUkDNLxzSkbmPX998TlWRgIw+n93u55ywSO/Cz0w2uf MAguxFZMLzLzv+69oaj9wnDC1Sm7fZ7A5YVLa59MheGOqNjO48z9unZ5SvWY C8OBLWsnA5n7T34c0lo7JAxnb4ZtM2Hyw7vzuJmCjTC8s9X/nMfkj1zQ5Lzv qDCMueWyYia/u3YYB7jaC0P+53CRCwMEtsj/EvvQQRj6XJ8vFv1h+nebVm7m aWHoicr6/q6LwDdz39Q2OQlD7u6vIXo/mfNlP1mVcGPWW5pSMqkmcIUGj+Ru D2EYjj+rUl5G4O7MG5oOnsJQZ3/O+fdnAvNluDol+wiD1KYXf5beE1hB7feN 777CYHql5MBqMoF13lnHjN0QBr3RI0ZJ8QR2TdOr2RokDL6DScd+PiDwtxTR rcURzH3jVYd6HAn8e+ODA71PheGLWk/z7BECzyStObLHCMPh9R478s2Y/ns9 FnXghTA0n9Lrk9rB1PtlydLPNGEwfu1bEslK4Oey2mIL74XBzDlet36KgXPi 36mTsoXhr+Vhq/eDDNz7PPq0Y4Ew0A76sh2pYmC9mAvfGWXCIFkpvsvtPgPb ivf1Cn8Thm3qK+fqrzGwe9SRxe3VwvBMICG53YWB458abPFrEIalmSsrPYYM vPhI8il3jzBsmuqd/7RIxx9CKhzIM8Iwfz/ZYtiGjt+a1EoGzwuDZ4RSev9/ dPxcoLmZvsTUg0U3xHcTHd+K+GP0mU0ERLvNqNenaNgsdlHdVkgEMgO9LpY/ oOG+N1vXHm4WAdrjg4m/Usfxz3M7CyfVRcA86krf+5BxXLVZ77KdlggYVYVH ks6P44ws02FFHREIzdOa+b15HF/7eLah1EgE3s/ufrqUPobXf49PmDstApB4 rHQuZhSz3k+yc3AWge9Nhk/YroziaZP0DZWuIuCaXCvwwWIUd9Z/DH5yUQT0 2TrmRLhGcXJb88UtN0Tgsr3dpxIP5v1qiAfOxIrAFq9HRke3DuOznN699fUi MGobfdzm2gCWlq9uX2oSgT2Nz8Hj4ACu3yXboPxTBDYHwacDCgNY+0JlcWC3 CPRNgbtJbT/mahGL0x4RgUCXqtO3pftxyqsCm5esG+CbRqzd7sy/eGD3fI37 9g0w6Wkq5XjiFz7j5fdB4PkG2G66abuCayPWcNlcb3ZaFOKUyONx+yvR73Py FzOcROGS4QHatOY3FHphg9B6V1FQjJ2aZ5X5jkY9lw41eIjCYlUB3kyrQkn+ tT8P+YvCrmsjAi4P6pDEE7dftjGicIPeEjDQ2YTWvryjnfohChoVKfe9mztQ Jk4IK20UBXkxgf1uqBMdL3uqrtAqCtX87xP43neiwu9+l/q7REF0T58ZBHWh y82m084johCxgc3g5NYeNDw8vnSeXQz04lXr1K7+QQ0iavzeOmJw4EUcl1p7 H9Jzdx+N2yMGfrMO0wXs/Sjze+b3MiQGe1+e2cm7tR+F+2sGCRmJgcJ4YAZr SD8yG9JeeWclBoeKp4W37xhANYX6RJ+bGPiE3vuqHjSIdEXv/OC9KAYeVg+j Jt8PonSPindbvcQAbY9v8f45iO5TjV1vXhODup7c1582DaH9YWZ/pe6KwadN lBCF8iFUeepIi+VLMZDvz+uiTAyj7Z9jc3wSmecLbd6TIjaCksW6Hr1MFoPy kbq2Xp0RFFRz3IyWLgZupn48AbdHkMF2x8rgj2IQ7GdYbrpuFJVwu3/82igG 8/03YurEx9BWx8yowRYx4Cja/+O19hh69YW4LNAuBl63hQZUbcdQgKfX1mO/ mPupJvxnETmG9Lp90mZGxUBK8djT3wLj6HNmYJwauzjgz54XahjjiMvMRjqG SxzmrrvlN/DT0KFRpWesfOJwb/v6ei9lGhqm/ohuExIHq99vhiJO0dCGZxJP bsmJQ/k6J36FOhpy0B4TGqeIw6OEWzv4h2goreXLI5tN4hDHarHj0RoNofWO Yapq4lDkLG11VpOO3O68D2nVEYeSOzJPjSPoqIAcwI3+Y9ZXaJhaSaUj1q+H 7qUBs35EyT2zYjqKmZ+9c9NYHNJOugvkjNBRubt+gLKNONz9a3P2kS4DrecX XX1yVBw4ha7KrR1kILu3Q/4r9uIwoKVVwnGagYi+h77NjuIgtzP6Y+NdBpI5 2ubtf0kcIpds7jvVMPPVzNvpocvicPmif4x/FwPlPPG7fMhHHLiTPZKUxxjI +AfZU/GmOPyzKe7azUOgJ+eniIjb4sC/oyn+tTiBfnF/81gKEocZHsqD+I0E umzgdqHxoTh8NPxv4wHEzM9//hvXfcTcv+Ht5SVTAvHeEDqf8kQcGnsebYOj BEr4+MHF9xnzfIe7x25dJNDY4ZChgXhxCFDUuOTnS6Adk8ecLV6Jw5JmqDXP XQLVqrGc2fhGHB47KU60xRJIvKb5b3g6c54egbOSrwl02iXl1EIGU0/VRdnx dALNJZo41OeLQzLf3569n5l5Fcn+2vVJHFTEEtOrywgU1kPYJ30Wh8Xcmf29 1QSiSkTZXSsTB//AV1G4jUAe+S4dfZXiYNMzJB7SQ6DCQ7pHDlYz9f74ev3f vwTiIATaPtaJA0+xzPmaIQJZhP45rNAoDm5mZEnDcQI9V8ltCW1h4k+cvOYE gQa/BVnNtYlD6I236iOTBNrqdKTpdJc4ZFy+4C8ySyA/VlXLul/ioLq4Z7hu nkBDhvwdin/FQXbFKWfdEoEsQ2gnbw+IQ90MX2TfMoGKan8Mdw8z/dbJct90 lUAbBbMuao8zj1cGPdz///clVhFzEQxxiBLUj+1k4vkoz4DxCXGwtTDLWGVi x04rbqMZcRB1Uan5yMR1pO2PXs0z+wV9JziYWPuUmMTSkjj8kQkkD60Q6FXS 7EubNSa//eRT9sz+fMPtitlsEnChsj3PaZFA3qqFmXxcEqBYa6TAxpy/1/25 tjOvBDzi983bNkMgkxy/r1hAAi6FjV5amCBQ/vRxI2khCVhSuu5szSCQ3C69 +isbJEDA4doL/TEChfjJ2zaIS8Cb7a8VKwYJNPmV5beKtAQ845AV6u4l0HG2 PucgWQk4bex7/l43gb7vK6f/JkuA2ckC428/CaR1P9lbZ6MEFB/b9fl5A4Hi 6+6uPFWSgNLcpk52pt6XrPevO6AuATHfX3tFFhGoK1olKklTApKXwmW/5BLI sItPdnW7BDi0LbZeY/pJ6vQPtbzdEuBooNeVw/RfUHJm/jokAXsFhJ3UHxGI Mfxoj6uBBORQ7byA6dcyDysz2QMSoJ6Ym7TpEoHUcre1+phJwCn7hXULTgSK nhE93mwhAeIy8g8d7Qjk5t/uFmwrASxKTfbzQCDRB8cfTpyRYOpvOLONn0A3 f/y3wcxFAhj6Gg+/LDPQiJB8XOp5Jp/275720BmoOOZvur2nBGRq+X7rr2de 3ylnaypvSsCeTzrBoqEM1DhibEUOZOqj2uDn4MtAumoqXb53JeCYTOtzfVcG EswbH9UIlQDVjsWDrQYM9KnkEu/zZxKgUjwWqjVFR3w9vvs98iWgzbdycr0+ HWn7pK179FEC7viFt79TpaPTIh3NWUUS4ONkKD+1gY4+7d9xYqKEyYeOTv/t QRo6+4HwvPJDAmgndb69CaKh0nCnON8hCbB03eF2OG8c0VSenooblYC/B8J7 P8WMI8nK0k1faBIQuxh/pM5vHHksyWWvTEoAPTzlKevecURy7ay4tSYBasYB VzJ/jKFr+uaMe5KS4BFVe8KhdRQl9/jnvZGRhOEqH7vuvFHU4PPuWpWcJIxH KvYLPB1Fipk87HybJCGf55nCI8tR1CJdLhGmKQnHxyhCMlUjSH16p/5TE0no tHxnn5Y2jAZTKZEJ/pJgrXpDPEJnENGC/i6w35IEMavqMZrAIJp0TDzpekcS It8birL2DiAWecpmzQeScD+at/XQ3QEkHUMuK4uRhJe9QTqpdf3IMlj+32Cu JESl9hu+Me9DX1xkzdRGJYGuFMK558BvFKksxVFoIwVrucoZnAGNKOL52e+n ydKgfzi42ofzG/a5GnjZnyoNv2P05Yu6v2EHq5fyMYrSEG0xeKoo5ztW42vz qVOThnszyqtjx6tx9fV9yjt1pGFzlbZKdVYdZrPbeF/AShpsudp2Zr9uwt4S fSYf70jDix2+3z4IduDjUyuzTfeY5x8M+e5ypQMbNkgl0e5LQ5uIlERLRwcW CT60RImQBvqyq1TTq06cOVvyLjReGjh2eMqZbunGIz8TBBw/SENod8aL/3b+ xsciT9QLDEuDjzF8LWHvw6Q8Phm3MWlY3v1ss/v2Pvyn6aNLNV0a3NbEX3c7 9WEnQRHWe9PSMFE4IbFc0Yc9HnzbtsYqA5KTlod1Avtx4C2NZxMkGYjg3WAl 9W8AGyb0DFqQZeCo00X6c9Ig5v56XyuTKgOZ7VPvW/cP4tCl/trzqjLwO88E ebwaxNFXY1f7d8pAwbKLj4rZEE67wOrUZiUD3z4bvNOPGsYXHmZmb7eVgajz zxRYi4exerr9yhM7GXBYuvDj4sAwzh3+EG1xSgaUjEtTjmqN4C+O56ur3GUg p/7h3IGaEdx4tEX9c4gMvN1m6rN7bBQ/8bnlJxUqA+1PdVNzBMawTfSWKp9H MsAXlqvaoD6Gu1qCT2+PloFFywmnVc8xPGC+JzIjSQYOXjioTZkew/OGKQsJ X2VAzecuq9TwOPb/nHCnolQGPjio7h1mpWEWrefrRitkYE3YOMSRRMPc8o8o WrUyUGzLNuBgScPiC9cOVLTLgJet6/2z+TT8/OLllpEuGegBlpDIOhqWHXI/ se43sz85WNN9gIY3tjh62g7IQGHMVzfZDXS8LcPs2cg/GUge52b1ukDHBVRj 6rppGfB0O9tKv03Hus/1MzTnZOA5xwkdkRg6NgjWLvVdkQHXfYFfrUvo2PI0 eVSAjwQXRwtk8tYzsIfY9C5NKgmkfFezcp4z8ORDRpmNIglcxN77x6UzsDfb qJmvCglu1v91Uy1iYH/i16lyDRLwOoUtancw8MPq7yE2e0iQFRgnxCVE4PVQ JuKLSFDANUwRlSXwk4Iv8S8NSCAWFsr2TYWZ/5Jysof3kyDd93a8qAGB396I 67huQwJGoJGdnQeB1aajHF8eJcEvVTJH4DUCZ5+PoJXZk8C9w+3iwUACfzxy l0XAkQQTjUdE6yIJrFsf8GCrMwnsD2yWCHhB4K+GvqI2riQorGi/0JrCzK+a F5VfepDg2fZ1Wc4fCGzy9lxumScJPL97uyd+IfAPOac9w1dIEKzgoxBQTmDL KIdv/NdIsF6lsHCVma9b+e0st/qR4Fj8ojy5kcBHA627Dt8kAe2w8N5+Zh7v mT/odP02CQ5cGxPe303g/kGDa2XBJPhtsP7KLDPfGyTUv1Z9SIK73n3dMaME fnX02I8n4STYfjNmYw2dwGvCQ3OLj0nw4lUECpsgsEOtp8KZKBLsN8iX/ztN 4OKgFbPaWBKoS14orJwjMEnvvs+2eBKQLFLYdi8S2G9O9HVcAgmKMxsnYZnA Xdmv6tiTmHx97AtsX2Hm+/Nqc26pJPhaZJ2xukrgWOonSmsaCb4w5D0K1gg8 17PXbE8GCYb9vpcxn0ewbXTD1eRsEgzdNU9vZ+IPFvaJAvkkmFH/b5M+E4vy Dtde+UgCvuiEHbuZ9S6Xec32FDH1buD8U8ns3+y3St73lQRFnXcU/zLn09zx wDSjlAQn7ueIhM0TOIIhdlWskgSXrqS/q54hMPEm8dWNKhLI/Fy3FD1JYPPT W2oHa0lwyHWVf4ZB4AzpwpmDDUx/GiuM948RWKDVkFzQTAKvotepZ4YI7BbW aCLXxtSLT838yl8C1xgd977XSYLP++iTYj0EVmEZSWD0kOAxb+yb/W0EDim8 XGPbS4K2PaduCTD1NFJ7KK80TAIb+9ezxmUEThkUN3k0RoK0BYEKXERgjoTX V+boJMj45i1WnUvgMuGi6u/TJDickJEfkUhgSu2+aY15EjyY9dKziCXwraAm udglElQZKFQkhBNYb27ksiubLND1kk3nrhP4RfaVl42csnD2m3PUKtPvy+dY qnfxykLcHP187BkCF/VIyPEKyYL62lO7IFMCS0Un7ffcIAs1j+9/a9Mj8DUL jcud4rKQozB99osmgbXLjKrSZGVhVpW6qC9O4Nw33l4mm2XB6uqJit1dDCx8 mvVFrrosHLy1XnZLDQNfkg77Lq0lC8nTHiivkIHVw5JJ47tkgTikXnUzhoHT vVq+PTSShR277z+UMmfg1/9pyvw4zZxvZ2hSzBs6LjPnu7PkJAvSNWkZV5/Q cd/J/jEVV1n4F9TMWPKnY2pgVNE9D1nYzaNJWrSk4+RvC3bgJwueu34F103T cIpFWWxepCxo5dzR4VGj4W+n4lj6YmRhY+fgEzdhGh7yvOIqFCcLjR4O+ddn x7FipOIu90RZ8CE3xsTgcZza8aBdMZO5T1mYSP/Bcfz2tLX48++yYHBBOpXT fgxXeandrKph8vMshEtv9xgeucM5NPtDFgYdnpYpyoxh5dSPH6xbZcF+RaWV r2sUp43J2Kz7KwurVu6gfHgUp18eeHprURayuUTtRXRHcMZdb2GXLXJwqOOT QVLDIKbtORF4d6scdE1Fetx5M8j8vjKcStomB8WxC64bAwZxuqPoz14dOTgs bpOYvmUQv0V5sceM5OCn8l+Nn8EDOHnhn7z5STmoTAm5t06zHz93v6C+47Ec WD89VHznWC8Otjljyj4jB18Sq3svmrfiHT2JacE/5MFg23W7npFSJKTuOp/V KA9vKjXG/pWXIVqAunFHizwYqonZ/3hZjpKpnweUu+RBKqk2qcW6Eom6tcrX DMnDP7/HzvVFVWjRn92Ui4UMCwGf5vf6NqBOfu3S/VJk6HumslJv24a+bX82 0iNNht2V3X+dv7ah/BPLgp4kMvzWzi35tKkdRWSVOTyTJ4Ni8e1nYVPtaL+1 xfLoJjIUPPgk1/ywE3167rrzoRYZEn6nh3zJ6EGxKnEZP0zJcIbvWL7/kb9o esoo5c5BMvhVvW2vuP8XWXydjNexIAPLtZ7TDZ//Ii5rk9AUKzKUkL/TlOX7 kLf/wvkbdmQwNe7s7OrrQ1YNR5S3uJCBcn5iJPnEAMp8xk7udyXDFbkd3OUP BxCvU5bEs/Nk+Ki8sBRbOIBK5rm4OT3IkOQlNHROdBBpKBQM9lwhg8s7o1Ph 3waRgLdoUmggGSYpfy4eIw0jV1Ty3CCIDB/afb++3zeMynkvPJm/Swa1l/aW GR7DyPdl+W2n+2SQHGFfK8DDaPS716k9EWTYkbdH8NeJEfRNukmW9oIMe52/ cCzfH0UKg/5irxOY/H2+GzqRMYpuZCmvO5rI3C9Hqj+0aRRtN7y1XJ5MBrb9 Sbx5EmPotbtGd9w7MsT0Wv/KShhDASVhsaaFZLiU1tLC8XIcjf0qiVwoIoNV Pb3t6edxZLs0FfHmCxkajlvNVXSMIzXtY/fZS8ggG0/jFBChoY53ir6fv5Hh b6N0l8ItGtpbbXf1XBUZ9nNG6X16TkOZQ6FeEjVk4DNh1NHyaeguZer85R9k CNJ8x6k1QkNaMdh+cysZWFcDg6gmdPQif/JI508yeBG6dW9P0xFP86bDwe1k GO6yia+5Rkd/BELN+rvIEP5f1Yu+FDoKDTz6X9xfJp/ShiP2S3Q0l/BQ50A/ GfQVH6gVCzKQY/HXHXMDZAjY2vvuE5WBdOY3qluPkOH77pvmN0wYaMh9Qo6f IMNb3QgR7acMdOjhRpnCf2R4LrMq6pjMQF/eHpFwmSTDg2JDe8UPDPS0v1iw fIYMNm7ZTVd/MtAqywS/5xxTf+lLkWyDDHRebiOP/AIZLA1RyaZpBgK7Byx+ y0y+tS4HawoT6N3V4mXlVTK8kbhTIiVPIPHIf/Nta2TI4lh8EatGIHq97YQW OwXO7C6LsDMi0HNDat8YLwVsx0My+68QiNPR9ncsPwXYn/fa+Qcw823A/S6j dRRITbA6k36fQMZFRPNrIQqEB4nxfIsnUG67QoOlCAUi7Asc81KY+XvGpnZ1 AwWEDos835FJoGmNL+XHJCjQdUV9y3wxgU4eJDCPFAXURCOtd1USqOa8wpcC aQo89mGhCdQRaEeIzScnEgWqF6z/eDcT6FVKSL6IHAWiT3VLXO4gEH/55+wS eQrsULS8zfGbQFd7Ge89KBTg+trBo9pPoL4VShqJSgG7Vp4X/cMEOihjk1Kz kcK8f//dokkjUOyAeom9IgWMuLVsWv7/+5QMnm6aEgUEEnxdJKYItNWnb+aG CgWeHiXZr8wQyB++CAlupkBdQJjS3XkCVfFGb36lRoGOYrvKzEVmvm65aKSp TgEWDQV132UCnYo/cLpMgwJ+3i+OD68Q6L0z1d9akwLLVTFms6sEmldfiR7Q ooA4+9Ri6hqBDOfbcry3U+D821TnBSaOKM2u49KmwBvmoymdibsfPBiO2UmB Q/i0+x0mVjzsxKaiQ4GTHyv4PzPrecnqyRbpUuAldee5SGa/r0MSu0z3UGBo gXRf8P/vV7InrHr+o4BCA3FRjTmv7fVad3dEAZkaPer4HIFeG6SErAIF5J5m ppky92XwByQ9MmD6Axb4zCcJpPPz6FeyIQUsEcNikkGgoJdanTn7KBCg6xW4 a5xAjS4C0wbGFHi1fDODzOTbdRGrOJtQ4El3oFz7LwLllz8znDVl6r30MyCF qR9L2OWTwQcpkBF9Tki8hamHvFJUmiUFxkPGWX9/Y+oxwpKta0WBgvKOeztK mHrkdtXUWjP7dbDf0Sgk0HfDcBaGLQWOto1u508nkMh6V5mAoxTQHkAS9EQC ObTrawsdo4DpE94az2cEmj0346Z1ggJNyUucTsEEMtjWcK/cgQLXd1lXNN0g UPjy28TDpyhAVfcv7rvM5PfR8farZygQy3+6jeHA5Peo9iS3M/P6cGzbNmbN 5JcitO7ZWQro7H1kfH8/gWzyyw0+n6NAaSohmbeVyU+naubaRWa94DzLwmUG anzNUR3hSYEPV2SM2hgMRLrwu59ymQLKZx/IxPYyUN7qYynDq0w+OBwE+csZ qI+6EBTiT4GPXwKncu8wkL7Hd3vh+xS4co2ne/s0HS12jBpVPKAAX73xosAf OsrfK6DlE0qBO/bzSTeq6UhR6hDPr0fM/z9cXqbygo4EKrry30ZTYJE9NPsD oqMOKcY6SGZe342LQwOeNPQkSGhhMoXpNxHefDdbGjIltAZS3lBgP3K1j9Cl oa8VPkX87yhg88ruSz4rDSVfZHVpz6GAu/DTN1cejqNLlaIlHpgCkVeEL6iF jSHVrTvfUUopEMgiMlXiNob6n9tFt5ZRQHpf49zCgTFke+nlBd1vFPgXm29h zzmG9sgoS3H9oMBIG4fViM8o4vHc7fWiiwL7NhkejzUbQQkkx411M0x/y1lf mfo4iHS3bVZ3nKOAQ7HCi5XwQdR6YHrn/DzTX5KQ8815EPH43DPduEwBt/9a wmJEBtGlpnQvfzYFuEor6tc/N4Dg3lSJmqACpEhWV6nw96M+IuhEmLICzGk/ PDuxsRdtLH8TbW6vAPf6N7AEJrSgiC1lqs1fFWBZlau4a3MxfrvLnjewRAHs N64OpLFijPdOD2uWKcCxFf/IYLcSzLBTTHlcqQDXdm6+oQ9l2PTeA/lDdQpQ k7PXNXuoEnP9sRJt7FSAOuvdA6Ubf2C/iP6VH9MKcOhmxluxtz/xkzj/nhuz CtB7MIptj0QbTk8V+7xlXgFk/dC4+L023PHF+FrYEvP4qbCAAcd2rD36btKM jQqlfLfDPkh24n/6V4ZrBangRT2QMXq5B5+d4miqVqWCkWoXYXvxL3ZIN6w/ rkYFjU2rIYEv/mLb00G1xBYqtN4PLrle+xcbNbB/E9OkwseE9JEqxT6s+I7t 8+mdVCg3Fz/U3dWHBx1ZUhb2UqGQ8+7u47sGsFPz0jWVE1T4lPK01qJyCB+/ v/vqFwcqOIhclZsaH8KHwe+yxSnmfKfRfiuRYWyYuejufYYKoxMjRw0chvHG BwuOpeeo0Naoqfhrchj368+Z2V2lgsd/mT0v1o/irnltE5oPFZQTRUZrto7i 5qyrxgHXqfBuXmldhtUoLpOd1U/xp8L6cj2+R1Gj+PXCtPZEIBUCog7wYYkx 7JgzSb7/iArCB5MT/daN4wuB1ssmj6nAFlIcsFV9HHtb57cLPKXCz8StqbfM x3HIjHd4RDQVMnakMf6FjeNMnYWlmBdUEIfRHA4eGv7Ed6zdLoEK2+IyBII3 0XBpd1GuTCIVhPbsl0k0oOHWG/7nEpKpEG64OfW5Hw0vlK61pb6jAi8W4I4d oWG2p6dyXTOosLT31IM6NjoWcCoNU82iwqXwF2FRJDqW47pjmJlLhbvvt8f0 m9OxoQlX7odCKqx0bE51zqRjcxmXMJ/PzHnf7F+3vZKOj9C+u+oUU4FbdYIa 2U3H58PvyxeXUGHHvk4xHm4GjmgWCKv4TgXskHiy4CgDP09yd71XTYVrRx8/ 5L3AwElX6vfur6WCTFDH8vhNBi4Qj1isrWfq26n47EQSA/cc2+Da8pMKjRve X6MNMfDQ5it7o9qpcEK/407uLAMTy61yRzqp4L8jrJmTi8BsCdE/u3qo8HBp g501lcBK/VJ7+/qpcPPR7f+CjhJ4a76vXPIgFQqU9oVmOhFY9273gvMwcz5u zmCnSwQ2U3qRPTpGhcNyUa1e95h5fn7l4TsaFcIG0n/WRBD4ZLWDizuDCklw 4E/GcwJ7uZHlJiaoIBls5Cea8f/fR9xeyJ2igoHu1eqYDwS+u66v9coMFYKE m2JSigkc/tsgW3uOCvqsAVX/VRI4Nivp4fw8FaKb7NGpOgK/vsXhUrTIxPfm /gq0EPjdIWcD/2UqHCuLjtnbSeB8hW+yeqtUeEbedoDjD4G/TikurK0x/RTq 99d8gMD/AyN5HAg= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwVWnk4VO8fte9lyW4wY8qWiEpRX++HRCFElJRKRImipFBKigqpbEVJlqLs UpRea9myZ69kX2bmZt/5zW/+8Zznup/lnHPn3nOfoThetHJmY2FhKWFnYfn/ 3xc3Hbk0nR7q+S+vMT8Eqmghmx0hn0ONv7xTG5l47dvXO2TydbTJ68ULAyZe /6Qgm68jELGzyAzbrBLoRUmYPCf5Pjo+nX6Xb4VAaoRT+JrLI3Szi3Lj1BKB fq1/ubrc/gR9sLzQfGSBQBtTebUXl6LQ14Xwh/9mCXThP2/3OflnaPZ8apbq NIHyWnuTp/fGI0uJYSOuCQItupn1TLgkIIGdL47doRPoFWvP/bl9iWjXe7WZ xFECGf54vGm2/TWi9wspOA4SaCTWuHT6XDI6kt9DL+8lUKjTyvGppRQUuFP3 7PduArUsuUb+k09DLTLfYvMaCXT1u9xWIicdOYV8vhxfQyDpp6219L3vUcSJ xj1KFQRyVAX2cZcsZB3/a0ihgEBsS74N0/7ZqKLaYuJpJoFae21kp/floLoL rXvepBLo2nv+wsn2XKSVMTOTH0UgkydDXJOv8pC9zMeorFACka6VHp44l4+s BVq7zO4QqGSvzz9i6QNKKzepvHiRQNzdfUp0+UIkGxfnemwvgTpKir1pI4Vo ql7yuvtOAqWnxpaP5xQhkv6uzRs3E8jcy/zk2N4vKG1zF9cNYQJF8xZFD7tg dPNLWkdvJwPl+5h4XZYsQYNdnzeL1TJQ/NhOqSn/EmTAyn2a8ZmBPBpFXCb3 lSJ3u3TFiHgGEomvYptoL0OHlx8bR9sx0NL6grRLe8rRvwLv+lljBhq4nWT5 71U5ur4r9PPKDgYqcLn5kjhXgYIqNrxcE2KgY9u26zKWKpFJQlR0ZxkdJdYk eI7LV6ONJc9AWpyOpmM/qP4JrUZFGkFJXCs0ZORS29+8UI2Msr20w/tpiMY+ Z1PUUoOWdvBaXsqioV3/meveD65DSTfYjj4woKHGrGU2JaIBndR2tj5vO45E EK/DOvVGVHxYR0N75zjarRipG+zUiGbvmTgnSYyj8Om0Kd+mRqR1PDH2TPsY 2v74p7Pjuyb0+tigR7DVGAqoUTPRPNmCBL1Lw8p3jqK3OR8V30W1IJ3m88bd IqOoOdaAfVNdC1IptaqPo4+gjS5Hv0jqtCKzfZqmUq9HUA17kDrLhp+IZWrZ W5R7BIn/1y3S8K0N0RVKFwNLh1Bm1v3uC+pdCK6cn9qx3I/GRMZCTU53IS67 Dq2njf1I6aqJnnJkF8o9yOuQn9yPXu3hT+xf6EJYyzfU0KwfPakOPXusshtZ uSmzvYvtQ1f7H00YH/+Fpl59sOBR+osS+GvvCO/rRU+l18/W7u5BLqjpGc2r H90V/N2sdbgeeQyq9OdnjqJ9VQZyHL+/416HTp7S6lGkPSr8puhbFbbuCFH/ MTCKVE966JCyqvGu2uHrg9Jj6JH2NZ7Wm7WYPSdFSDx4DEXwtF7GUg041p+i 53NyHFWbxIeck23BpRuknukI0VH72SmtI3xdeHtY1dd9m+no1gnec+5Xu3Aq 17WBQ0Z0NEk261Xu68KhC20a5/3pyKSj7cf9T93Y9k/kt+cjdCSck/ew9tQv PJYuNL1UwvTpTy8BXotezEcJUvqz6x8q0bntwnu6H1fteaxxc98/ZP2sPp0R 2o/vHX25U9bqH/ocHXT/2ad+zBbxydje7R/64aIkpCc4gBdXaS7tL/6hX/Xs qvmFA3i8x+ZtA9sEup3RSh1iG8Lp847ZHoITqM1Z9d6o6hB2Fb30aR1pAjHm W3PTrYbwgOmDKtMdE0hEdznCKXEI9xR9HfnuMoF+3NkVlbZ7GNfFKqmU1E0g gYJsNrEzI/hB/nbNk50TKFGMSx7fG8H7G/V1Vgcn0JiN2qJ8+giu4D5+YM/a BKr2JBlz/BvBX65GnPukOYloKcb9ptdGccbhhbTs6EkU9EprX4DvGL5wiSvX ImkS7SQcsp2fjWHV0A1FjKxJJO7inrb8cQynlm+pUaueRI+60jp0p8fwSy3H sbdLk6g61NyV4TqOw4VqVRNPTaFCLg7zYQMaLtwp+8HcYwr9sO7waHag4QGH i2jZbwrNcSzxHfOl4d0ZGw4fiZlC5eMG2//LpuGRA8dvrKufQv6cl4QPSNCx qGcm9+fuKUS59b163VY6RrEsT1xHp5D7c1/5C/vpOHooObWcYxr9kr5kPu1D x3vv0Buu755G+juEi1Sa6dgjHR1TOjCNNjOmrHKH6fh50+OBVttp9D6BjbN5 mY7/yWsvaHhNI97ZrLCfmxj45ZebCkNvp9HypTDPQS8Gru5vfP+0YBoNnOTl k7/LwNN81J36FdNoz+3rT+nRDGxq9900/g+zfmzrrf2FDDw/I+htJT6DUo+Y HyTmGZgq67i2Rp1BI54c49XcBDY3zL+foTmDWpessnaKEzjlydGXPAdnEPVx eV+tJoEbC9OVC47NoC0ZShMTegRe7l3OPeM6gx5kpDmlmxLYSiPx+9c7M0x/ CtQ0nSHwTdupQxcezyDXO1oucJHAaTf29UglzKBttuwl4EtglrrRf1eKZpA2 o4Z/NpzAm6d2+ylUzSCXHNmC9FgC20qHczb+nEFB8y0P/iUSOMNVS3rzBHMe p1YtjTwCdzwKSu5YnUGBea+qlT4TmONjm/o9gVn0IfuncE4ZgTV+Kxduk55F xt/ZJ2qqCXyM02/vX6VZ5KtpYO7dSOB7aj9+hO+YRW8sNESy2wicYy1/dM/e WWS4+E/Rr4fAPb6efaOWsyikfvu1tr8E5nldfiHGYRZ99N46VTpE4G3VYnOG F2YR/3Divf/GCezwz+X25PVZ9F9yg8IBgsAPJIr4XwXPoqx/IYUDkwT+oCcQ fTBqFmmxK+oJzRK419mBvPR6Fp3XCkmpnSewQFh2+tvsWdQsIz0kvkTgnfls O2y/zqIjlQ1zE8sEduw+jNnrZlFkoWLr8VUC88X9dffsnEUVAXsGrdcInHvM g/RnaBbdbhD9/puJj0kv1ZhNz6IMiS6fFSZm7wq+XsQ6hzQjN85lMfH7Z6LK yoJzyMFicd8ss95hu8S2KNIcuizXcLZxhamvpPpddtU5ZPss6IQes39yR9E2 z51z6Mq68xqwSGCzWOO+34ZzqNZtT//POQJPH2mNMLOaQ1Qtxdtr0wSOlziN ik4y61lgkeIJAu9rp9OV3OeQJ/u6pPUMAjOifeOjfOeQeeFtvelRAkfbcpuy h8yh17+WJ90HCawnHrlwKWoO3c2qafDrJfDQT/Lb36/nUJNA8qBsN4HDozJs zbLn0CudTKPDPwmsbaPLWVQ8h+ivfbnkGwgc3GrtGNUxh55KfZ7zLCXw1she IfahOdRy+sKRxUKmf6zd8aWpObSuxM5LIpfAyi33SGbr5xHn7OI+IabfGp9s qC2UmUfOx/V30WIIfM3q1XUllXnmfX3k6AmmX6ubCtvYDOdR4S/2t2vXCXy+ kRZReH0euR9fcthvRmCRiOtIKXgeRb4YjWtCBC6y4GJERs4jB09pzQktAvM3 yJteyppHKrU/NkxLMPX4YcWpNDiPOr5Tf677xcCHw/7kRU7OI4Q5B81/MPCy 2QVHNpYF9PXV4UalYgY+WHcX/5JeQINiAmKv4xiYUfPpeqTlAhI+eyz1qzUD Rz/Yp8zmsIBu5Hu3VwAD65k0t110Yx63UMFOWxj4UfX4NtN7C2jx6edCL04G 3lolx2D9soBk5gK66rPp2LMyyPGi0iLaKnKGUjVNw3IDRlyz2xbR6zGzFPhF w7VsvOn+sIjeO6oip0oa3gRhE/ftFtE/sdv1GZE03FkUdSv54SLKeLTFyEqD hvWzU192EovowdzFDVSbccyodzU4tbyItD9kzl/cNY7j6KpDQzxLiH6oq/qC zDieUc3aMk1ZQrdMDtzz6R3DaSkfv6w/vITe17fPdp0dw8JxVV17Py2hXlvh TSrOo/hr4YObNRVL6IeQROXLvaPYrcNM4VDTEnrrd0KkhjKKK8WazjmMLSGH zIS9e3+N4OsRnfPXSMuoZGRKstZyBP+9OyaeeWsZBV7U4AlVHcY5lwSsJQ+s oPSsgNqOdwO47vmG6xm2K0jome5jo5sDeKhCOsHAaQWhTZcvu1sOYGkplfEL ASuoJi+bZ3SqHweV7rtT+mEFnXGw40vb2Y9tRQLyziusoubjX3h7cv/ixbyJ DcVLqyjzoSzp0kIPTvRzG9t6hAWKE3NfKEvW48CE5UPTNFZYWVDW0uesRpZb P3lunmKFGuM7u6u6qpFc6eXHjgusUC159zhHdg0q6htrbORkg8VOdfTErg5N buq0yJBjA+u8i1tK3zYgx/cfDp61ZIMdzq8F06VbkH6hx4GOPDY4dCvY1MWv E603UT0nWMQGZ69MqG3904l6ugZDjErY4PyCnlSmQRe6tny8Kr+ODY6sHH9S wdONspGp8eNBNvDgvlGw53EPIn9T2mciwQ4/XvYaOj75g1haeuGLLzvohL/W WUntQ0GjXxN9b7PDwvec131tfYiX5QWbTgg7FEvz1QRz9SORLXYVH6LYIYHd vWa9cz/aFNxknJXNDrNnMduq3AAy2V1m/nqIHZYy9ta23x1E9YdeZZ2is0Mm z/k/HjmDyNr1ppD8NDuITcrPfu4ZRMejdJvjWDnA2uHqL2+tIeRB5NpEkTig 8+2td0e7htDTpKTjIVYc8P1NzkkHmREkWXS72MiOA1o/88eLGIyg+MaTcpyn OOCN0iGZK64jKHVFpve2OwdM7JHs2JM/gj4diTzjF8IB+f9dQO3Go6iH/+55 j68cUHByRLHcYQydUjhTq1bJAYGHNTKFbo2hwV36auO1HKCrntjMnjiGGM4r dJdODrA3ydXq/DuGWEu8PU9Pc4BFuN2h7cznSsUrZ68dVuWEpaGXVMv9NLRF 9491wlZOeFCxedPkaRraznJUY0ybE6IEFn4hPxoyCD0wFLCXE35/wwd+vach h2S1w++Oc0KkFL+QpAAdOZ9P0Zh15AQHmbYaQSodXdgqx69/jhOc+1zXsnXo yPeLYFmbNye8IknXMJzpKLp1UoPtESfElSbXWhbR0YvnbvwHozjBqCFlW1g9 HSWfGhiKieOEs3rqkp59dJRL+/liy1tOMG1+5qbOy0D1HIX8dqWcoLLAxX3d ioF+1mgOJ33nhKAYA4nxMwzUE5FexvjBCREePiNs3gw0Roq/HtTFCUkbG9mp 0QzEuSNgOGuKExLKd7TItzKQwNJc2eICJ+T398UW9THzWemll/tYuMD/7mzq wj8GIh90tOkW4ILKMyrTZwQIpLShe6viBi64bvTnb7gUgdQ7rQU8pbhg/aiK 9wlFAu1x3lfOpcgFZw0uzQzoEWjv5q8vD6lxwZaHkc9emDDz6oS2b7wWF6hE JBxasCHQ0RvKmlqIC5rPP/V55kagK1H8CSeOcoEM1wv1608I5Gcf5PvWgQsa r0quGsURKJCyYjPlxAUNVZMTBUkEishgCNz35AKr+6/7/fMIFHPZZaTFhzkv S2JucxGBXur0lsvd5IJrs5b7a0oJ9L6yyTf/ARdcuC5z9WU9gfIemtiuRXBB hZvsiG8rgYoOlWuaxHDBW4lXrfOdBCqV2LMu6gUXKAUc3iz5h0BVv/JH/iRx wVQQx6+OfgI1JG2pUE3ngjCpp926IwRqO5ea4J3NBRrOy1J6NAL90pD3Kyng gosMm9A+gkADMzG2/MVckFJcr6Q8RaDX+tsu/yrngm6Hefr+WQKdDKt/lFXD 3OdEmvriPDPPd557f7uJC9Jq/Xt3LxGoayNntXUHF4QsPVlat0Kg2EuvBjf9 4QLSs8fXL60SyPbLbrb5QS7YW5pkc2aNQKI87XI1NC5wEvENHWLiJmuv3fFT XLDy0YS0yMThCeuOeixyQf+lJo6XTGw2/vYKsHKDeoSFcTOzHt9Ow8ciPNzw c/7hUDSzX1Xgn4yB9dzALtoyNM6c5169b02BGDeIl80ebFpg6i0tPhxC4oaD RuZU4zkCsZzNYbenMuttKbh4cJpAX3PMyFtUuSF+S8R/A/8I5L8yvGdtKzc8 4yiP5acTSOfAHbumndxQaVoUXs7kczZS7mqSHjfcMzmrLjBAoPzewife+7hh rHR3yOBvAnmp2WQZm3GDXt62TAumXhrX/tVKWXPDYUptnkkLgdIFlTi/nuKG y6MOeVOVBHK1L6NEuHDD6eah7sSvBNr05oSeowc3eOZt1P9bQKBXepE+XP7c UMrvoyGaSiCHBxqRHYHcQP2kOsX9gqlHW012+n1uOLHY5Br2lOk3d9Yx8xhu UNb9RhwMINDhwnguyktueGVSaHz/CoFEOHdRp5K54T/y+G/bc0y+4z2Ox+Ry w9y2Bte0QwQKqu2u//ODG+Jcb4RvlSWQgYTPeE4rN5DbflxnEyTQmqMIT1A3 N9imxnG5shDId3G/vvIoky+HhSbGXwa6pFKQd4mDB/LmVeQnEhhI3ftQowE/ D5z47L3kHM5A4yU0mqgID5w+s6pzyZ+Bzh6lKhbK84Dexv7OfUcY6ERwRCzr bh7QDi/rWuZmIJPB8zeeePKAUrCFYYcNHRndoL43vMYDXQc93Xfo0ZGBWE/X 7E0eeKDpCFsV6Uh338Fd9qHM+hYblFlmaEg1RWOK+oYHHMv0NomE0xC/87Tr hx4eyPlnscMscxzxrLyPcennAcxyJPF9xDjiiHL+JjXGAzOsMfbZXuNouaKN enOOB2RCDlok7RhHtI2Fv41EeEHlLEuwwccxVDdw43CHMS8EvTxeVJE2iqr8 te88MOeFBmnS+MN7o6hClMjZY8MLL4N69q04jqIvhqcEEx15wTPu29Fe6VH0 Ptmg5twNXtgke8v8w70RFObEDUu5vKC7uqufx2IYmQ9EbJaT4wNsuWzJmjqA 6jYPtB7fyAcm4Kwk6j+ATC/vvBmnygdFnfyi44cG0H62342SO/mAa8eK7PBy PzIgb766wZKJD0bFbbLsRzuOV5bwBPIBJeHEi820v4jUumAzNcgHu4iEu4yl X2is3PFWVQY/qA++Zz1r3oTUhdtk955cB5JjqZ6eKlV4KGwoMMp5HaSeqg+k sVXjF3xzw8Nu62BdY1ocqacaC3BI5oZeWwcv2U8VPg6rxWOzdkZtj9eBd8jN dyG0epzS88vjXMU6OHjw4W3dumZMejuIH6msh2e/2Vm8TDtx68bZjX0a62GT tuxO0ZxO/DCR68F27fWQSx5yOyfehRefKx3uNFgP9pE3hJR7u3BH2LkRhePr gV34kfHPiz346WW6UEH4ehCJ1skYu/kH86GZ0z1T66FLmXyeN70PX9NX5ilY XA/XXs7/edfVh4f22mc+YhWEw/sXF/n5+3HZ/tJFA0FBSCQ7XWNz68e+VmFP 01QFYbbpqFqB0gAed95UefW0IGj+eOX79ukgPuZ61M3SVRD2XdS5344HcdX5 h8KqFwXhj02wQNH4IE6+OHHil78g/O4M4YkxGMLHrxfP7o0VBEOHoe2vaEO4 LtRGWbhBEJbfvKO5a45g3Uch9WM/mf02JOmHHx3Bbx9/vlLRIwiDe/4NHw0Y wUHRlFKfMUHozEvmHq8dwXKNs2oEmxCc3k0jpk6N4rbOskobOSHo/uNqqOQ7 htfZ98SWUYSA/0fV4ay4MWzYM+OmsUkImoStSzq/jOHc38oivGpCoE4yb9+w OobD+8MdvugIwf6H/k+E/MexMf3YnIKNEMgsvVutc6bhl6J3WgKOCgHlvODX 77doeHr3u6weeyGIMVqrPR1Hw68eLLlEOwrBE+tWN68GGl5Uiu/gvSQE3pnV W5a16NjSoiL/7GUh4FoRqx02oePUq7SI8qtCoPIf4r3kSMfWlXsO3LghBJWp yqo2EXT83vFX4b8HQiCU+iD63DAdsz3gjD4YLgTW0yXVmst0fDRni1f6YyG4 neZsGCnEwJwsN1WdYoVAhPPTsuIuBnZ4IRfXnsLcb90TPf9ABs6vMPLZniYE 51C/q2AkA/PRPKwfvxcCYsvldt0UBv6oi/lN84SAjSv/md03BhbqOOn/tUQI Lj2oSc9mJ/DZteCjMhXMeduDB9eECfxFMXv7te9CcGXAuHBQnsDnvFnomvVC EHDx1aUrugQuiVeuDm9i8i9FWSQZE1i8wjJlvFUITghcdbW3JnCZSOKJlG4h yIvpNX92nsCSutU6bH+EwOCX7LVYbwJ7nJ4QO9knBNtaAkbUbhFYJlu/XnJU CIRlQ4XEIgns1X4u3ZsmBNFHMoNcXxC4avXxvWZCCPD04CfLVAJfOdinFzor BGfNNo79LiBwzRU+mdEFIajyYc0K+kpgcrzW3L4Vpr6pieVfKwl8tfxYy2sW YdidfkswrI7AP8YCs9bYhYGyHOxHNBN4o8i7h8e5hUGTW3BysIPAvjotLoV8 wlBwudvh0m9mnj61tFd8vTCEuFGywvsJrBhCJV8WFobKzjtNMEJg/yzT5QZR YShOES24RyNwc9vlDjVJYWAZPWx+6h8zn6/G5d+XEYZA8o6wH1MEDthUETEk JwxTR8Vc6mcJ3GZGu7BXQRgUbSubHBcIrHZF9MCrTcKQ9iGo4sESgQPj9mxa URaGiwLsu4xWmPm/zIn1mJowJK+dVIxaJfA//S7pGxrCoCSsUuK2RmDuUovt r7SEQd/S7W8/E8tB5cHyHcJwUqgi5P/vU7SxrsvQLmGgPx3+8ImJzfWyb/Hu EQaddYnnxJjYuXjTczUkDNLxzSkbmPX998TlWRgIw+n93u55ywSO/Cz0w2uf MAguxFZMLzLzv+69oaj9wnDC1Sm7fZ7A5YVLa59MheGOqNjO48z9unZ5SvWY C8OBLWsnA5n7T34c0lo7JAxnb4ZtM2Hyw7vzuJmCjTC8s9X/nMfkj1zQ5Lzv qDCMueWyYia/u3YYB7jaC0P+53CRCwMEtsj/EvvQQRj6XJ8vFv1h+nebVm7m aWHoicr6/q6LwDdz39Q2OQlD7u6vIXo/mfNlP1mVcGPWW5pSMqkmcIUGj+Ru D2EYjj+rUl5G4O7MG5oOnsJQZ3/O+fdnAvNluDol+wiD1KYXf5beE1hB7feN 777CYHql5MBqMoF13lnHjN0QBr3RI0ZJ8QR2TdOr2RokDL6DScd+PiDwtxTR rcURzH3jVYd6HAn8e+ODA71PheGLWk/z7BECzyStObLHCMPh9R478s2Y/ns9 FnXghTA0n9Lrk9rB1PtlydLPNGEwfu1bEslK4Oey2mIL74XBzDlet36KgXPi 36mTsoXhr+Vhq/eDDNz7PPq0Y4Ew0A76sh2pYmC9mAvfGWXCIFkpvsvtPgPb ivf1Cn8Thm3qK+fqrzGwe9SRxe3VwvBMICG53YWB458abPFrEIalmSsrPYYM vPhI8il3jzBsmuqd/7RIxx9CKhzIM8Iwfz/ZYtiGjt+a1EoGzwuDZ4RSev9/ dPxcoLmZvsTUg0U3xHcTHd+K+GP0mU0ERLvNqNenaNgsdlHdVkgEMgO9LpY/ oOG+N1vXHm4WAdrjg4m/Usfxz3M7CyfVRcA86krf+5BxXLVZ77KdlggYVYVH ks6P44ws02FFHREIzdOa+b15HF/7eLah1EgE3s/ufrqUPobXf49PmDstApB4 rHQuZhSz3k+yc3AWge9Nhk/YroziaZP0DZWuIuCaXCvwwWIUd9Z/DH5yUQT0 2TrmRLhGcXJb88UtN0Tgsr3dpxIP5v1qiAfOxIrAFq9HRke3DuOznN699fUi MGobfdzm2gCWlq9uX2oSgT2Nz8Hj4ACu3yXboPxTBDYHwacDCgNY+0JlcWC3 CPRNgbtJbT/mahGL0x4RgUCXqtO3pftxyqsCm5esG+CbRqzd7sy/eGD3fI37 9g0w6Wkq5XjiFz7j5fdB4PkG2G66abuCayPWcNlcb3ZaFOKUyONx+yvR73Py FzOcROGS4QHatOY3FHphg9B6V1FQjJ2aZ5X5jkY9lw41eIjCYlUB3kyrQkn+ tT8P+YvCrmsjAi4P6pDEE7dftjGicIPeEjDQ2YTWvryjnfohChoVKfe9mztQ Jk4IK20UBXkxgf1uqBMdL3uqrtAqCtX87xP43neiwu9+l/q7REF0T58ZBHWh y82m084johCxgc3g5NYeNDw8vnSeXQz04lXr1K7+QQ0iavzeOmJw4EUcl1p7 H9Jzdx+N2yMGfrMO0wXs/Sjze+b3MiQGe1+e2cm7tR+F+2sGCRmJgcJ4YAZr SD8yG9JeeWclBoeKp4W37xhANYX6RJ+bGPiE3vuqHjSIdEXv/OC9KAYeVg+j Jt8PonSPindbvcQAbY9v8f45iO5TjV1vXhODup7c1582DaH9YWZ/pe6KwadN lBCF8iFUeepIi+VLMZDvz+uiTAyj7Z9jc3wSmecLbd6TIjaCksW6Hr1MFoPy kbq2Xp0RFFRz3IyWLgZupn48AbdHkMF2x8rgj2IQ7GdYbrpuFJVwu3/82igG 8/03YurEx9BWx8yowRYx4Cja/+O19hh69YW4LNAuBl63hQZUbcdQgKfX1mO/ mPupJvxnETmG9Lp90mZGxUBK8djT3wLj6HNmYJwauzjgz54XahjjiMvMRjqG SxzmrrvlN/DT0KFRpWesfOJwb/v6ei9lGhqm/ohuExIHq99vhiJO0dCGZxJP bsmJQ/k6J36FOhpy0B4TGqeIw6OEWzv4h2goreXLI5tN4hDHarHj0RoNofWO Yapq4lDkLG11VpOO3O68D2nVEYeSOzJPjSPoqIAcwI3+Y9ZXaJhaSaUj1q+H 7qUBs35EyT2zYjqKmZ+9c9NYHNJOugvkjNBRubt+gLKNONz9a3P2kS4DrecX XX1yVBw4ha7KrR1kILu3Q/4r9uIwoKVVwnGagYi+h77NjuIgtzP6Y+NdBpI5 2ubtf0kcIpds7jvVMPPVzNvpocvicPmif4x/FwPlPPG7fMhHHLiTPZKUxxjI +AfZU/GmOPyzKe7azUOgJ+eniIjb4sC/oyn+tTiBfnF/81gKEocZHsqD+I0E umzgdqHxoTh8NPxv4wHEzM9//hvXfcTcv+Ht5SVTAvHeEDqf8kQcGnsebYOj BEr4+MHF9xnzfIe7x25dJNDY4ZChgXhxCFDUuOTnS6Adk8ecLV6Jw5JmqDXP XQLVqrGc2fhGHB47KU60xRJIvKb5b3g6c54egbOSrwl02iXl1EIGU0/VRdnx dALNJZo41OeLQzLf3569n5l5Fcn+2vVJHFTEEtOrywgU1kPYJ30Wh8Xcmf29 1QSiSkTZXSsTB//AV1G4jUAe+S4dfZXiYNMzJB7SQ6DCQ7pHDlYz9f74ev3f vwTiIATaPtaJA0+xzPmaIQJZhP45rNAoDm5mZEnDcQI9V8ltCW1h4k+cvOYE gQa/BVnNtYlD6I236iOTBNrqdKTpdJc4ZFy+4C8ySyA/VlXLul/ioLq4Z7hu nkBDhvwdin/FQXbFKWfdEoEsQ2gnbw+IQ90MX2TfMoGKan8Mdw8z/dbJct90 lUAbBbMuao8zj1cGPdz///clVhFzEQxxiBLUj+1k4vkoz4DxCXGwtTDLWGVi x04rbqMZcRB1Uan5yMR1pO2PXs0z+wV9JziYWPuUmMTSkjj8kQkkD60Q6FXS 7EubNSa//eRT9sz+fMPtitlsEnChsj3PaZFA3qqFmXxcEqBYa6TAxpy/1/25 tjOvBDzi983bNkMgkxy/r1hAAi6FjV5amCBQ/vRxI2khCVhSuu5szSCQ3C69 +isbJEDA4doL/TEChfjJ2zaIS8Cb7a8VKwYJNPmV5beKtAQ845AV6u4l0HG2 PucgWQk4bex7/l43gb7vK6f/JkuA2ckC428/CaR1P9lbZ6MEFB/b9fl5A4Hi 6+6uPFWSgNLcpk52pt6XrPevO6AuATHfX3tFFhGoK1olKklTApKXwmW/5BLI sItPdnW7BDi0LbZeY/pJ6vQPtbzdEuBooNeVw/RfUHJm/jokAXsFhJ3UHxGI Mfxoj6uBBORQ7byA6dcyDysz2QMSoJ6Ym7TpEoHUcre1+phJwCn7hXULTgSK nhE93mwhAeIy8g8d7Qjk5t/uFmwrASxKTfbzQCDRB8cfTpyRYOpvOLONn0A3 f/y3wcxFAhj6Gg+/LDPQiJB8XOp5Jp/275720BmoOOZvur2nBGRq+X7rr2de 3ylnaypvSsCeTzrBoqEM1DhibEUOZOqj2uDn4MtAumoqXb53JeCYTOtzfVcG EswbH9UIlQDVjsWDrQYM9KnkEu/zZxKgUjwWqjVFR3w9vvs98iWgzbdycr0+ HWn7pK179FEC7viFt79TpaPTIh3NWUUS4ONkKD+1gY4+7d9xYqKEyYeOTv/t QRo6+4HwvPJDAmgndb69CaKh0nCnON8hCbB03eF2OG8c0VSenooblYC/B8J7 P8WMI8nK0k1faBIQuxh/pM5vHHksyWWvTEoAPTzlKevecURy7ay4tSYBasYB VzJ/jKFr+uaMe5KS4BFVe8KhdRQl9/jnvZGRhOEqH7vuvFHU4PPuWpWcJIxH KvYLPB1Fipk87HybJCGf55nCI8tR1CJdLhGmKQnHxyhCMlUjSH16p/5TE0no tHxnn5Y2jAZTKZEJ/pJgrXpDPEJnENGC/i6w35IEMavqMZrAIJp0TDzpekcS It8birL2DiAWecpmzQeScD+at/XQ3QEkHUMuK4uRhJe9QTqpdf3IMlj+32Cu JESl9hu+Me9DX1xkzdRGJYGuFMK558BvFKksxVFoIwVrucoZnAGNKOL52e+n ydKgfzi42ofzG/a5GnjZnyoNv2P05Yu6v2EHq5fyMYrSEG0xeKoo5ztW42vz qVOThnszyqtjx6tx9fV9yjt1pGFzlbZKdVYdZrPbeF/AShpsudp2Zr9uwt4S fSYf70jDix2+3z4IduDjUyuzTfeY5x8M+e5ypQMbNkgl0e5LQ5uIlERLRwcW CT60RImQBvqyq1TTq06cOVvyLjReGjh2eMqZbunGIz8TBBw/SENod8aL/3b+ xsciT9QLDEuDjzF8LWHvw6Q8Phm3MWlY3v1ss/v2Pvyn6aNLNV0a3NbEX3c7 9WEnQRHWe9PSMFE4IbFc0Yc9HnzbtsYqA5KTlod1Avtx4C2NZxMkGYjg3WAl 9W8AGyb0DFqQZeCo00X6c9Ig5v56XyuTKgOZ7VPvW/cP4tCl/trzqjLwO88E ebwaxNFXY1f7d8pAwbKLj4rZEE67wOrUZiUD3z4bvNOPGsYXHmZmb7eVgajz zxRYi4exerr9yhM7GXBYuvDj4sAwzh3+EG1xSgaUjEtTjmqN4C+O56ur3GUg p/7h3IGaEdx4tEX9c4gMvN1m6rN7bBQ/8bnlJxUqA+1PdVNzBMawTfSWKp9H MsAXlqvaoD6Gu1qCT2+PloFFywmnVc8xPGC+JzIjSQYOXjioTZkew/OGKQsJ X2VAzecuq9TwOPb/nHCnolQGPjio7h1mpWEWrefrRitkYE3YOMSRRMPc8o8o WrUyUGzLNuBgScPiC9cOVLTLgJet6/2z+TT8/OLllpEuGegBlpDIOhqWHXI/ se43sz85WNN9gIY3tjh62g7IQGHMVzfZDXS8LcPs2cg/GUge52b1ukDHBVRj 6rppGfB0O9tKv03Hus/1MzTnZOA5xwkdkRg6NgjWLvVdkQHXfYFfrUvo2PI0 eVSAjwQXRwtk8tYzsIfY9C5NKgmkfFezcp4z8ORDRpmNIglcxN77x6UzsDfb qJmvCglu1v91Uy1iYH/i16lyDRLwOoUtancw8MPq7yE2e0iQFRgnxCVE4PVQ JuKLSFDANUwRlSXwk4Iv8S8NSCAWFsr2TYWZ/5Jysof3kyDd93a8qAGB396I 67huQwJGoJGdnQeB1aajHF8eJcEvVTJH4DUCZ5+PoJXZk8C9w+3iwUACfzxy l0XAkQQTjUdE6yIJrFsf8GCrMwnsD2yWCHhB4K+GvqI2riQorGi/0JrCzK+a F5VfepDg2fZ1Wc4fCGzy9lxumScJPL97uyd+IfAPOac9w1dIEKzgoxBQTmDL KIdv/NdIsF6lsHCVma9b+e0st/qR4Fj8ojy5kcBHA627Dt8kAe2w8N5+Zh7v mT/odP02CQ5cGxPe303g/kGDa2XBJPhtsP7KLDPfGyTUv1Z9SIK73n3dMaME fnX02I8n4STYfjNmYw2dwGvCQ3OLj0nw4lUECpsgsEOtp8KZKBLsN8iX/ztN 4OKgFbPaWBKoS14orJwjMEnvvs+2eBKQLFLYdi8S2G9O9HVcAgmKMxsnYZnA Xdmv6tiTmHx97AtsX2Hm+/Nqc26pJPhaZJ2xukrgWOonSmsaCb4w5D0K1gg8 17PXbE8GCYb9vpcxn0ewbXTD1eRsEgzdNU9vZ+IPFvaJAvkkmFH/b5M+E4vy Dtde+UgCvuiEHbuZ9S6Xec32FDH1buD8U8ns3+y3St73lQRFnXcU/zLn09zx wDSjlAQn7ueIhM0TOIIhdlWskgSXrqS/q54hMPEm8dWNKhLI/Fy3FD1JYPPT W2oHa0lwyHWVf4ZB4AzpwpmDDUx/GiuM948RWKDVkFzQTAKvotepZ4YI7BbW aCLXxtSLT838yl8C1xgd977XSYLP++iTYj0EVmEZSWD0kOAxb+yb/W0EDim8 XGPbS4K2PaduCTD1NFJ7KK80TAIb+9ezxmUEThkUN3k0RoK0BYEKXERgjoTX V+boJMj45i1WnUvgMuGi6u/TJDickJEfkUhgSu2+aY15EjyY9dKziCXwraAm udglElQZKFQkhBNYb27ksiubLND1kk3nrhP4RfaVl42csnD2m3PUKtPvy+dY qnfxykLcHP187BkCF/VIyPEKyYL62lO7IFMCS0Un7ffcIAs1j+9/a9Mj8DUL jcud4rKQozB99osmgbXLjKrSZGVhVpW6qC9O4Nw33l4mm2XB6uqJit1dDCx8 mvVFrrosHLy1XnZLDQNfkg77Lq0lC8nTHiivkIHVw5JJ47tkgTikXnUzhoHT vVq+PTSShR277z+UMmfg1/9pyvw4zZxvZ2hSzBs6LjPnu7PkJAvSNWkZV5/Q cd/J/jEVV1n4F9TMWPKnY2pgVNE9D1nYzaNJWrSk4+RvC3bgJwueu34F103T cIpFWWxepCxo5dzR4VGj4W+n4lj6YmRhY+fgEzdhGh7yvOIqFCcLjR4O+ddn x7FipOIu90RZ8CE3xsTgcZza8aBdMZO5T1mYSP/Bcfz2tLX48++yYHBBOpXT fgxXeandrKph8vMshEtv9xgeucM5NPtDFgYdnpYpyoxh5dSPH6xbZcF+RaWV r2sUp43J2Kz7KwurVu6gfHgUp18eeHprURayuUTtRXRHcMZdb2GXLXJwqOOT QVLDIKbtORF4d6scdE1Fetx5M8j8vjKcStomB8WxC64bAwZxuqPoz14dOTgs bpOYvmUQv0V5sceM5OCn8l+Nn8EDOHnhn7z5STmoTAm5t06zHz93v6C+47Ec WD89VHznWC8Otjljyj4jB18Sq3svmrfiHT2JacE/5MFg23W7npFSJKTuOp/V KA9vKjXG/pWXIVqAunFHizwYqonZ/3hZjpKpnweUu+RBKqk2qcW6Eom6tcrX DMnDP7/HzvVFVWjRn92Ui4UMCwGf5vf6NqBOfu3S/VJk6HumslJv24a+bX82 0iNNht2V3X+dv7ah/BPLgp4kMvzWzi35tKkdRWSVOTyTJ4Ni8e1nYVPtaL+1 xfLoJjIUPPgk1/ywE3167rrzoRYZEn6nh3zJ6EGxKnEZP0zJcIbvWL7/kb9o esoo5c5BMvhVvW2vuP8XWXydjNexIAPLtZ7TDZ//Ii5rk9AUKzKUkL/TlOX7 kLf/wvkbdmQwNe7s7OrrQ1YNR5S3uJCBcn5iJPnEAMp8xk7udyXDFbkd3OUP BxCvU5bEs/Nk+Ki8sBRbOIBK5rm4OT3IkOQlNHROdBBpKBQM9lwhg8s7o1Ph 3waRgLdoUmggGSYpfy4eIw0jV1Ty3CCIDB/afb++3zeMynkvPJm/Swa1l/aW GR7DyPdl+W2n+2SQHGFfK8DDaPS716k9EWTYkbdH8NeJEfRNukmW9oIMe52/ cCzfH0UKg/5irxOY/H2+GzqRMYpuZCmvO5rI3C9Hqj+0aRRtN7y1XJ5MBrb9 Sbx5EmPotbtGd9w7MsT0Wv/KShhDASVhsaaFZLiU1tLC8XIcjf0qiVwoIoNV Pb3t6edxZLs0FfHmCxkajlvNVXSMIzXtY/fZS8ggG0/jFBChoY53ir6fv5Hh b6N0l8ItGtpbbXf1XBUZ9nNG6X16TkOZQ6FeEjVk4DNh1NHyaeguZer85R9k CNJ8x6k1QkNaMdh+cysZWFcDg6gmdPQif/JI508yeBG6dW9P0xFP86bDwe1k GO6yia+5Rkd/BELN+rvIEP5f1Yu+FDoKDTz6X9xfJp/ShiP2S3Q0l/BQ50A/ GfQVH6gVCzKQY/HXHXMDZAjY2vvuE5WBdOY3qluPkOH77pvmN0wYaMh9Qo6f IMNb3QgR7acMdOjhRpnCf2R4LrMq6pjMQF/eHpFwmSTDg2JDe8UPDPS0v1iw fIYMNm7ZTVd/MtAqywS/5xxTf+lLkWyDDHRebiOP/AIZLA1RyaZpBgK7Byx+ y0y+tS4HawoT6N3V4mXlVTK8kbhTIiVPIPHIf/Nta2TI4lh8EatGIHq97YQW OwXO7C6LsDMi0HNDat8YLwVsx0My+68QiNPR9ncsPwXYn/fa+Qcw823A/S6j dRRITbA6k36fQMZFRPNrIQqEB4nxfIsnUG67QoOlCAUi7Asc81KY+XvGpnZ1 AwWEDos835FJoGmNL+XHJCjQdUV9y3wxgU4eJDCPFAXURCOtd1USqOa8wpcC aQo89mGhCdQRaEeIzScnEgWqF6z/eDcT6FVKSL6IHAWiT3VLXO4gEH/55+wS eQrsULS8zfGbQFd7Ge89KBTg+trBo9pPoL4VShqJSgG7Vp4X/cMEOihjk1Kz kcK8f//dokkjUOyAeom9IgWMuLVsWv7/+5QMnm6aEgUEEnxdJKYItNWnb+aG CgWeHiXZr8wQyB++CAlupkBdQJjS3XkCVfFGb36lRoGOYrvKzEVmvm65aKSp TgEWDQV132UCnYo/cLpMgwJ+3i+OD68Q6L0z1d9akwLLVTFms6sEmldfiR7Q ooA4+9Ri6hqBDOfbcry3U+D821TnBSaOKM2u49KmwBvmoymdibsfPBiO2UmB Q/i0+x0mVjzsxKaiQ4GTHyv4PzPrecnqyRbpUuAldee5SGa/r0MSu0z3UGBo gXRf8P/vV7InrHr+o4BCA3FRjTmv7fVad3dEAZkaPer4HIFeG6SErAIF5J5m ppky92XwByQ9MmD6Axb4zCcJpPPz6FeyIQUsEcNikkGgoJdanTn7KBCg6xW4 a5xAjS4C0wbGFHi1fDODzOTbdRGrOJtQ4El3oFz7LwLllz8znDVl6r30MyCF qR9L2OWTwQcpkBF9Tki8hamHvFJUmiUFxkPGWX9/Y+oxwpKta0WBgvKOeztK mHrkdtXUWjP7dbDf0Sgk0HfDcBaGLQWOto1u508nkMh6V5mAoxTQHkAS9EQC ObTrawsdo4DpE94az2cEmj0346Z1ggJNyUucTsEEMtjWcK/cgQLXd1lXNN0g UPjy28TDpyhAVfcv7rvM5PfR8farZygQy3+6jeHA5Peo9iS3M/P6cGzbNmbN 5JcitO7ZWQro7H1kfH8/gWzyyw0+n6NAaSohmbeVyU+naubaRWa94DzLwmUG anzNUR3hSYEPV2SM2hgMRLrwu59ymQLKZx/IxPYyUN7qYynDq0w+OBwE+csZ qI+6EBTiT4GPXwKncu8wkL7Hd3vh+xS4co2ne/s0HS12jBpVPKAAX73xosAf OsrfK6DlE0qBO/bzSTeq6UhR6hDPr0fM/z9cXqbygo4EKrry30ZTYJE9NPsD oqMOKcY6SGZe342LQwOeNPQkSGhhMoXpNxHefDdbGjIltAZS3lBgP3K1j9Cl oa8VPkX87yhg88ruSz4rDSVfZHVpz6GAu/DTN1cejqNLlaIlHpgCkVeEL6iF jSHVrTvfUUopEMgiMlXiNob6n9tFt5ZRQHpf49zCgTFke+nlBd1vFPgXm29h zzmG9sgoS3H9oMBIG4fViM8o4vHc7fWiiwL7NhkejzUbQQkkx411M0x/y1lf mfo4iHS3bVZ3nKOAQ7HCi5XwQdR6YHrn/DzTX5KQ8815EPH43DPduEwBt/9a wmJEBtGlpnQvfzYFuEor6tc/N4Dg3lSJmqACpEhWV6nw96M+IuhEmLICzGk/ PDuxsRdtLH8TbW6vAPf6N7AEJrSgiC1lqs1fFWBZlau4a3MxfrvLnjewRAHs N64OpLFijPdOD2uWKcCxFf/IYLcSzLBTTHlcqQDXdm6+oQ9l2PTeA/lDdQpQ k7PXNXuoEnP9sRJt7FSAOuvdA6Ubf2C/iP6VH9MKcOhmxluxtz/xkzj/nhuz CtB7MIptj0QbTk8V+7xlXgFk/dC4+L023PHF+FrYEvP4qbCAAcd2rD36btKM jQqlfLfDPkh24n/6V4ZrBangRT2QMXq5B5+d4miqVqWCkWoXYXvxL3ZIN6w/ rkYFjU2rIYEv/mLb00G1xBYqtN4PLrle+xcbNbB/E9OkwseE9JEqxT6s+I7t 8+mdVCg3Fz/U3dWHBx1ZUhb2UqGQ8+7u47sGsFPz0jWVE1T4lPK01qJyCB+/ v/vqFwcqOIhclZsaH8KHwe+yxSnmfKfRfiuRYWyYuejufYYKoxMjRw0chvHG BwuOpeeo0Naoqfhrchj368+Z2V2lgsd/mT0v1o/irnltE5oPFZQTRUZrto7i 5qyrxgHXqfBuXmldhtUoLpOd1U/xp8L6cj2+R1Gj+PXCtPZEIBUCog7wYYkx 7JgzSb7/iArCB5MT/daN4wuB1ssmj6nAFlIcsFV9HHtb57cLPKXCz8StqbfM x3HIjHd4RDQVMnakMf6FjeNMnYWlmBdUEIfRHA4eGv7Ed6zdLoEK2+IyBII3 0XBpd1GuTCIVhPbsl0k0oOHWG/7nEpKpEG64OfW5Hw0vlK61pb6jAi8W4I4d oWG2p6dyXTOosLT31IM6NjoWcCoNU82iwqXwF2FRJDqW47pjmJlLhbvvt8f0 m9OxoQlX7odCKqx0bE51zqRjcxmXMJ/PzHnf7F+3vZKOj9C+u+oUU4FbdYIa 2U3H58PvyxeXUGHHvk4xHm4GjmgWCKv4TgXskHiy4CgDP09yd71XTYVrRx8/ 5L3AwElX6vfur6WCTFDH8vhNBi4Qj1isrWfq26n47EQSA/cc2+Da8pMKjRve X6MNMfDQ5it7o9qpcEK/407uLAMTy61yRzqp4L8jrJmTi8BsCdE/u3qo8HBp g501lcBK/VJ7+/qpcPPR7f+CjhJ4a76vXPIgFQqU9oVmOhFY9273gvMwcz5u zmCnSwQ2U3qRPTpGhcNyUa1e95h5fn7l4TsaFcIG0n/WRBD4ZLWDizuDCklw 4E/GcwJ7uZHlJiaoIBls5Cea8f/fR9xeyJ2igoHu1eqYDwS+u66v9coMFYKE m2JSigkc/tsgW3uOCvqsAVX/VRI4Nivp4fw8FaKb7NGpOgK/vsXhUrTIxPfm /gq0EPjdIWcD/2UqHCuLjtnbSeB8hW+yeqtUeEbedoDjD4G/TikurK0x/RTq 99d8gMD/AyN5HAg= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10}, {-0.9999994091302796, 0.9999999999999001}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10}, {-0.9999994091302796, 0.9999999999999001}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwVWnk4VO8fte9lyW4wY8qWiEpRX++HRCFElJRKRImipFBKigqpbEVJlqLs UpRea9myZ69kX2bmZt/5zW/+8Zznup/lnHPn3nOfoThetHJmY2FhKWFnYfn/ 3xc3Hbk0nR7q+S+vMT8Eqmghmx0hn0ONv7xTG5l47dvXO2TydbTJ68ULAyZe /6Qgm68jELGzyAzbrBLoRUmYPCf5Pjo+nX6Xb4VAaoRT+JrLI3Szi3Lj1BKB fq1/ubrc/gR9sLzQfGSBQBtTebUXl6LQ14Xwh/9mCXThP2/3OflnaPZ8apbq NIHyWnuTp/fGI0uJYSOuCQItupn1TLgkIIGdL47doRPoFWvP/bl9iWjXe7WZ xFECGf54vGm2/TWi9wspOA4SaCTWuHT6XDI6kt9DL+8lUKjTyvGppRQUuFP3 7PduArUsuUb+k09DLTLfYvMaCXT1u9xWIicdOYV8vhxfQyDpp6219L3vUcSJ xj1KFQRyVAX2cZcsZB3/a0ihgEBsS74N0/7ZqKLaYuJpJoFae21kp/floLoL rXvepBLo2nv+wsn2XKSVMTOTH0UgkydDXJOv8pC9zMeorFACka6VHp44l4+s BVq7zO4QqGSvzz9i6QNKKzepvHiRQNzdfUp0+UIkGxfnemwvgTpKir1pI4Vo ql7yuvtOAqWnxpaP5xQhkv6uzRs3E8jcy/zk2N4vKG1zF9cNYQJF8xZFD7tg dPNLWkdvJwPl+5h4XZYsQYNdnzeL1TJQ/NhOqSn/EmTAyn2a8ZmBPBpFXCb3 lSJ3u3TFiHgGEomvYptoL0OHlx8bR9sx0NL6grRLe8rRvwLv+lljBhq4nWT5 71U5ur4r9PPKDgYqcLn5kjhXgYIqNrxcE2KgY9u26zKWKpFJQlR0ZxkdJdYk eI7LV6ONJc9AWpyOpmM/qP4JrUZFGkFJXCs0ZORS29+8UI2Msr20w/tpiMY+ Z1PUUoOWdvBaXsqioV3/meveD65DSTfYjj4woKHGrGU2JaIBndR2tj5vO45E EK/DOvVGVHxYR0N75zjarRipG+zUiGbvmTgnSYyj8Om0Kd+mRqR1PDH2TPsY 2v74p7Pjuyb0+tigR7DVGAqoUTPRPNmCBL1Lw8p3jqK3OR8V30W1IJ3m88bd IqOoOdaAfVNdC1IptaqPo4+gjS5Hv0jqtCKzfZqmUq9HUA17kDrLhp+IZWrZ W5R7BIn/1y3S8K0N0RVKFwNLh1Bm1v3uC+pdCK6cn9qx3I/GRMZCTU53IS67 Dq2njf1I6aqJnnJkF8o9yOuQn9yPXu3hT+xf6EJYyzfU0KwfPakOPXusshtZ uSmzvYvtQ1f7H00YH/+Fpl59sOBR+osS+GvvCO/rRU+l18/W7u5BLqjpGc2r H90V/N2sdbgeeQyq9OdnjqJ9VQZyHL+/416HTp7S6lGkPSr8puhbFbbuCFH/ MTCKVE966JCyqvGu2uHrg9Jj6JH2NZ7Wm7WYPSdFSDx4DEXwtF7GUg041p+i 53NyHFWbxIeck23BpRuknukI0VH72SmtI3xdeHtY1dd9m+no1gnec+5Xu3Aq 17WBQ0Z0NEk261Xu68KhC20a5/3pyKSj7cf9T93Y9k/kt+cjdCSck/ew9tQv PJYuNL1UwvTpTy8BXotezEcJUvqz6x8q0bntwnu6H1fteaxxc98/ZP2sPp0R 2o/vHX25U9bqH/ocHXT/2ad+zBbxydje7R/64aIkpCc4gBdXaS7tL/6hX/Xs qvmFA3i8x+ZtA9sEup3RSh1iG8Lp847ZHoITqM1Z9d6o6hB2Fb30aR1pAjHm W3PTrYbwgOmDKtMdE0hEdznCKXEI9xR9HfnuMoF+3NkVlbZ7GNfFKqmU1E0g gYJsNrEzI/hB/nbNk50TKFGMSx7fG8H7G/V1Vgcn0JiN2qJ8+giu4D5+YM/a BKr2JBlz/BvBX65GnPukOYloKcb9ptdGccbhhbTs6EkU9EprX4DvGL5wiSvX ImkS7SQcsp2fjWHV0A1FjKxJJO7inrb8cQynlm+pUaueRI+60jp0p8fwSy3H sbdLk6g61NyV4TqOw4VqVRNPTaFCLg7zYQMaLtwp+8HcYwr9sO7waHag4QGH i2jZbwrNcSzxHfOl4d0ZGw4fiZlC5eMG2//LpuGRA8dvrKufQv6cl4QPSNCx qGcm9+fuKUS59b163VY6RrEsT1xHp5D7c1/5C/vpOHooObWcYxr9kr5kPu1D x3vv0Buu755G+juEi1Sa6dgjHR1TOjCNNjOmrHKH6fh50+OBVttp9D6BjbN5 mY7/yWsvaHhNI97ZrLCfmxj45ZebCkNvp9HypTDPQS8Gru5vfP+0YBoNnOTl k7/LwNN81J36FdNoz+3rT+nRDGxq9900/g+zfmzrrf2FDDw/I+htJT6DUo+Y HyTmGZgq67i2Rp1BI54c49XcBDY3zL+foTmDWpessnaKEzjlydGXPAdnEPVx eV+tJoEbC9OVC47NoC0ZShMTegRe7l3OPeM6gx5kpDmlmxLYSiPx+9c7M0x/ CtQ0nSHwTdupQxcezyDXO1oucJHAaTf29UglzKBttuwl4EtglrrRf1eKZpA2 o4Z/NpzAm6d2+ylUzSCXHNmC9FgC20qHczb+nEFB8y0P/iUSOMNVS3rzBHMe p1YtjTwCdzwKSu5YnUGBea+qlT4TmONjm/o9gVn0IfuncE4ZgTV+Kxduk55F xt/ZJ2qqCXyM02/vX6VZ5KtpYO7dSOB7aj9+hO+YRW8sNESy2wicYy1/dM/e WWS4+E/Rr4fAPb6efaOWsyikfvu1tr8E5nldfiHGYRZ99N46VTpE4G3VYnOG F2YR/3Divf/GCezwz+X25PVZ9F9yg8IBgsAPJIr4XwXPoqx/IYUDkwT+oCcQ fTBqFmmxK+oJzRK419mBvPR6Fp3XCkmpnSewQFh2+tvsWdQsIz0kvkTgnfls O2y/zqIjlQ1zE8sEduw+jNnrZlFkoWLr8VUC88X9dffsnEUVAXsGrdcInHvM g/RnaBbdbhD9/puJj0kv1ZhNz6IMiS6fFSZm7wq+XsQ6hzQjN85lMfH7Z6LK yoJzyMFicd8ss95hu8S2KNIcuizXcLZxhamvpPpddtU5ZPss6IQes39yR9E2 z51z6Mq68xqwSGCzWOO+34ZzqNZtT//POQJPH2mNMLOaQ1Qtxdtr0wSOlziN ik4y61lgkeIJAu9rp9OV3OeQJ/u6pPUMAjOifeOjfOeQeeFtvelRAkfbcpuy h8yh17+WJ90HCawnHrlwKWoO3c2qafDrJfDQT/Lb36/nUJNA8qBsN4HDozJs zbLn0CudTKPDPwmsbaPLWVQ8h+ivfbnkGwgc3GrtGNUxh55KfZ7zLCXw1she IfahOdRy+sKRxUKmf6zd8aWpObSuxM5LIpfAyi33SGbr5xHn7OI+IabfGp9s qC2UmUfOx/V30WIIfM3q1XUllXnmfX3k6AmmX6ubCtvYDOdR4S/2t2vXCXy+ kRZReH0euR9fcthvRmCRiOtIKXgeRb4YjWtCBC6y4GJERs4jB09pzQktAvM3 yJteyppHKrU/NkxLMPX4YcWpNDiPOr5Tf677xcCHw/7kRU7OI4Q5B81/MPCy 2QVHNpYF9PXV4UalYgY+WHcX/5JeQINiAmKv4xiYUfPpeqTlAhI+eyz1qzUD Rz/Yp8zmsIBu5Hu3VwAD65k0t110Yx63UMFOWxj4UfX4NtN7C2jx6edCL04G 3lolx2D9soBk5gK66rPp2LMyyPGi0iLaKnKGUjVNw3IDRlyz2xbR6zGzFPhF w7VsvOn+sIjeO6oip0oa3gRhE/ftFtE/sdv1GZE03FkUdSv54SLKeLTFyEqD hvWzU192EovowdzFDVSbccyodzU4tbyItD9kzl/cNY7j6KpDQzxLiH6oq/qC zDieUc3aMk1ZQrdMDtzz6R3DaSkfv6w/vITe17fPdp0dw8JxVV17Py2hXlvh TSrOo/hr4YObNRVL6IeQROXLvaPYrcNM4VDTEnrrd0KkhjKKK8WazjmMLSGH zIS9e3+N4OsRnfPXSMuoZGRKstZyBP+9OyaeeWsZBV7U4AlVHcY5lwSsJQ+s oPSsgNqOdwO47vmG6xm2K0jome5jo5sDeKhCOsHAaQWhTZcvu1sOYGkplfEL ASuoJi+bZ3SqHweV7rtT+mEFnXGw40vb2Y9tRQLyziusoubjX3h7cv/ixbyJ DcVLqyjzoSzp0kIPTvRzG9t6hAWKE3NfKEvW48CE5UPTNFZYWVDW0uesRpZb P3lunmKFGuM7u6u6qpFc6eXHjgusUC159zhHdg0q6htrbORkg8VOdfTErg5N buq0yJBjA+u8i1tK3zYgx/cfDp61ZIMdzq8F06VbkH6hx4GOPDY4dCvY1MWv E603UT0nWMQGZ69MqG3904l6ugZDjErY4PyCnlSmQRe6tny8Kr+ODY6sHH9S wdONspGp8eNBNvDgvlGw53EPIn9T2mciwQ4/XvYaOj75g1haeuGLLzvohL/W WUntQ0GjXxN9b7PDwvec131tfYiX5QWbTgg7FEvz1QRz9SORLXYVH6LYIYHd vWa9cz/aFNxknJXNDrNnMduq3AAy2V1m/nqIHZYy9ta23x1E9YdeZZ2is0Mm z/k/HjmDyNr1ppD8NDuITcrPfu4ZRMejdJvjWDnA2uHqL2+tIeRB5NpEkTig 8+2td0e7htDTpKTjIVYc8P1NzkkHmREkWXS72MiOA1o/88eLGIyg+MaTcpyn OOCN0iGZK64jKHVFpve2OwdM7JHs2JM/gj4diTzjF8IB+f9dQO3Go6iH/+55 j68cUHByRLHcYQydUjhTq1bJAYGHNTKFbo2hwV36auO1HKCrntjMnjiGGM4r dJdODrA3ydXq/DuGWEu8PU9Pc4BFuN2h7cznSsUrZ68dVuWEpaGXVMv9NLRF 9491wlZOeFCxedPkaRraznJUY0ybE6IEFn4hPxoyCD0wFLCXE35/wwd+vach h2S1w++Oc0KkFL+QpAAdOZ9P0Zh15AQHmbYaQSodXdgqx69/jhOc+1zXsnXo yPeLYFmbNye8IknXMJzpKLp1UoPtESfElSbXWhbR0YvnbvwHozjBqCFlW1g9 HSWfGhiKieOEs3rqkp59dJRL+/liy1tOMG1+5qbOy0D1HIX8dqWcoLLAxX3d ioF+1mgOJ33nhKAYA4nxMwzUE5FexvjBCREePiNs3gw0Roq/HtTFCUkbG9mp 0QzEuSNgOGuKExLKd7TItzKQwNJc2eICJ+T398UW9THzWemll/tYuMD/7mzq wj8GIh90tOkW4ILKMyrTZwQIpLShe6viBi64bvTnb7gUgdQ7rQU8pbhg/aiK 9wlFAu1x3lfOpcgFZw0uzQzoEWjv5q8vD6lxwZaHkc9emDDz6oS2b7wWF6hE JBxasCHQ0RvKmlqIC5rPP/V55kagK1H8CSeOcoEM1wv1608I5Gcf5PvWgQsa r0quGsURKJCyYjPlxAUNVZMTBUkEishgCNz35AKr+6/7/fMIFHPZZaTFhzkv S2JucxGBXur0lsvd5IJrs5b7a0oJ9L6yyTf/ARdcuC5z9WU9gfIemtiuRXBB hZvsiG8rgYoOlWuaxHDBW4lXrfOdBCqV2LMu6gUXKAUc3iz5h0BVv/JH/iRx wVQQx6+OfgI1JG2pUE3ngjCpp926IwRqO5ea4J3NBRrOy1J6NAL90pD3Kyng gosMm9A+gkADMzG2/MVckFJcr6Q8RaDX+tsu/yrngm6Hefr+WQKdDKt/lFXD 3OdEmvriPDPPd557f7uJC9Jq/Xt3LxGoayNntXUHF4QsPVlat0Kg2EuvBjf9 4QLSs8fXL60SyPbLbrb5QS7YW5pkc2aNQKI87XI1NC5wEvENHWLiJmuv3fFT XLDy0YS0yMThCeuOeixyQf+lJo6XTGw2/vYKsHKDeoSFcTOzHt9Ow8ciPNzw c/7hUDSzX1Xgn4yB9dzALtoyNM6c5169b02BGDeIl80ebFpg6i0tPhxC4oaD RuZU4zkCsZzNYbenMuttKbh4cJpAX3PMyFtUuSF+S8R/A/8I5L8yvGdtKzc8 4yiP5acTSOfAHbumndxQaVoUXs7kczZS7mqSHjfcMzmrLjBAoPzewife+7hh rHR3yOBvAnmp2WQZm3GDXt62TAumXhrX/tVKWXPDYUptnkkLgdIFlTi/nuKG y6MOeVOVBHK1L6NEuHDD6eah7sSvBNr05oSeowc3eOZt1P9bQKBXepE+XP7c UMrvoyGaSiCHBxqRHYHcQP2kOsX9gqlHW012+n1uOLHY5Br2lOk3d9Yx8xhu UNb9RhwMINDhwnguyktueGVSaHz/CoFEOHdRp5K54T/y+G/bc0y+4z2Ox+Ry w9y2Bte0QwQKqu2u//ODG+Jcb4RvlSWQgYTPeE4rN5DbflxnEyTQmqMIT1A3 N9imxnG5shDId3G/vvIoky+HhSbGXwa6pFKQd4mDB/LmVeQnEhhI3ftQowE/ D5z47L3kHM5A4yU0mqgID5w+s6pzyZ+Bzh6lKhbK84Dexv7OfUcY6ERwRCzr bh7QDi/rWuZmIJPB8zeeePKAUrCFYYcNHRndoL43vMYDXQc93Xfo0ZGBWE/X 7E0eeKDpCFsV6Uh338Fd9qHM+hYblFlmaEg1RWOK+oYHHMv0NomE0xC/87Tr hx4eyPlnscMscxzxrLyPcennAcxyJPF9xDjiiHL+JjXGAzOsMfbZXuNouaKN enOOB2RCDlok7RhHtI2Fv41EeEHlLEuwwccxVDdw43CHMS8EvTxeVJE2iqr8 te88MOeFBmnS+MN7o6hClMjZY8MLL4N69q04jqIvhqcEEx15wTPu29Fe6VH0 Ptmg5twNXtgke8v8w70RFObEDUu5vKC7uqufx2IYmQ9EbJaT4wNsuWzJmjqA 6jYPtB7fyAcm4Kwk6j+ATC/vvBmnygdFnfyi44cG0H62342SO/mAa8eK7PBy PzIgb766wZKJD0bFbbLsRzuOV5bwBPIBJeHEi820v4jUumAzNcgHu4iEu4yl X2is3PFWVQY/qA++Zz1r3oTUhdtk955cB5JjqZ6eKlV4KGwoMMp5HaSeqg+k sVXjF3xzw8Nu62BdY1ocqacaC3BI5oZeWwcv2U8VPg6rxWOzdkZtj9eBd8jN dyG0epzS88vjXMU6OHjw4W3dumZMejuIH6msh2e/2Vm8TDtx68bZjX0a62GT tuxO0ZxO/DCR68F27fWQSx5yOyfehRefKx3uNFgP9pE3hJR7u3BH2LkRhePr gV34kfHPiz346WW6UEH4ehCJ1skYu/kH86GZ0z1T66FLmXyeN70PX9NX5ilY XA/XXs7/edfVh4f22mc+YhWEw/sXF/n5+3HZ/tJFA0FBSCQ7XWNz68e+VmFP 01QFYbbpqFqB0gAed95UefW0IGj+eOX79ukgPuZ61M3SVRD2XdS5344HcdX5 h8KqFwXhj02wQNH4IE6+OHHil78g/O4M4YkxGMLHrxfP7o0VBEOHoe2vaEO4 LtRGWbhBEJbfvKO5a45g3Uch9WM/mf02JOmHHx3Bbx9/vlLRIwiDe/4NHw0Y wUHRlFKfMUHozEvmHq8dwXKNs2oEmxCc3k0jpk6N4rbOskobOSHo/uNqqOQ7 htfZ98SWUYSA/0fV4ay4MWzYM+OmsUkImoStSzq/jOHc38oivGpCoE4yb9+w OobD+8MdvugIwf6H/k+E/MexMf3YnIKNEMgsvVutc6bhl6J3WgKOCgHlvODX 77doeHr3u6weeyGIMVqrPR1Hw68eLLlEOwrBE+tWN68GGl5Uiu/gvSQE3pnV W5a16NjSoiL/7GUh4FoRqx02oePUq7SI8qtCoPIf4r3kSMfWlXsO3LghBJWp yqo2EXT83vFX4b8HQiCU+iD63DAdsz3gjD4YLgTW0yXVmst0fDRni1f6YyG4 neZsGCnEwJwsN1WdYoVAhPPTsuIuBnZ4IRfXnsLcb90TPf9ABs6vMPLZniYE 51C/q2AkA/PRPKwfvxcCYsvldt0UBv6oi/lN84SAjSv/md03BhbqOOn/tUQI Lj2oSc9mJ/DZteCjMhXMeduDB9eECfxFMXv7te9CcGXAuHBQnsDnvFnomvVC EHDx1aUrugQuiVeuDm9i8i9FWSQZE1i8wjJlvFUITghcdbW3JnCZSOKJlG4h yIvpNX92nsCSutU6bH+EwOCX7LVYbwJ7nJ4QO9knBNtaAkbUbhFYJlu/XnJU CIRlQ4XEIgns1X4u3ZsmBNFHMoNcXxC4avXxvWZCCPD04CfLVAJfOdinFzor BGfNNo79LiBwzRU+mdEFIajyYc0K+kpgcrzW3L4Vpr6pieVfKwl8tfxYy2sW YdidfkswrI7AP8YCs9bYhYGyHOxHNBN4o8i7h8e5hUGTW3BysIPAvjotLoV8 wlBwudvh0m9mnj61tFd8vTCEuFGywvsJrBhCJV8WFobKzjtNMEJg/yzT5QZR YShOES24RyNwc9vlDjVJYWAZPWx+6h8zn6/G5d+XEYZA8o6wH1MEDthUETEk JwxTR8Vc6mcJ3GZGu7BXQRgUbSubHBcIrHZF9MCrTcKQ9iGo4sESgQPj9mxa URaGiwLsu4xWmPm/zIn1mJowJK+dVIxaJfA//S7pGxrCoCSsUuK2RmDuUovt r7SEQd/S7W8/E8tB5cHyHcJwUqgi5P/vU7SxrsvQLmGgPx3+8ImJzfWyb/Hu EQaddYnnxJjYuXjTczUkDNLxzSkbmPX998TlWRgIw+n93u55ywSO/Cz0w2uf MAguxFZMLzLzv+69oaj9wnDC1Sm7fZ7A5YVLa59MheGOqNjO48z9unZ5SvWY C8OBLWsnA5n7T34c0lo7JAxnb4ZtM2Hyw7vzuJmCjTC8s9X/nMfkj1zQ5Lzv qDCMueWyYia/u3YYB7jaC0P+53CRCwMEtsj/EvvQQRj6XJ8vFv1h+nebVm7m aWHoicr6/q6LwDdz39Q2OQlD7u6vIXo/mfNlP1mVcGPWW5pSMqkmcIUGj+Ru D2EYjj+rUl5G4O7MG5oOnsJQZ3/O+fdnAvNluDol+wiD1KYXf5beE1hB7feN 777CYHql5MBqMoF13lnHjN0QBr3RI0ZJ8QR2TdOr2RokDL6DScd+PiDwtxTR rcURzH3jVYd6HAn8e+ODA71PheGLWk/z7BECzyStObLHCMPh9R478s2Y/ns9 FnXghTA0n9Lrk9rB1PtlydLPNGEwfu1bEslK4Oey2mIL74XBzDlet36KgXPi 36mTsoXhr+Vhq/eDDNz7PPq0Y4Ew0A76sh2pYmC9mAvfGWXCIFkpvsvtPgPb ivf1Cn8Thm3qK+fqrzGwe9SRxe3VwvBMICG53YWB458abPFrEIalmSsrPYYM vPhI8il3jzBsmuqd/7RIxx9CKhzIM8Iwfz/ZYtiGjt+a1EoGzwuDZ4RSev9/ dPxcoLmZvsTUg0U3xHcTHd+K+GP0mU0ERLvNqNenaNgsdlHdVkgEMgO9LpY/ oOG+N1vXHm4WAdrjg4m/Usfxz3M7CyfVRcA86krf+5BxXLVZ77KdlggYVYVH ks6P44ws02FFHREIzdOa+b15HF/7eLah1EgE3s/ufrqUPobXf49PmDstApB4 rHQuZhSz3k+yc3AWge9Nhk/YroziaZP0DZWuIuCaXCvwwWIUd9Z/DH5yUQT0 2TrmRLhGcXJb88UtN0Tgsr3dpxIP5v1qiAfOxIrAFq9HRke3DuOznN699fUi MGobfdzm2gCWlq9uX2oSgT2Nz8Hj4ACu3yXboPxTBDYHwacDCgNY+0JlcWC3 CPRNgbtJbT/mahGL0x4RgUCXqtO3pftxyqsCm5esG+CbRqzd7sy/eGD3fI37 9g0w6Wkq5XjiFz7j5fdB4PkG2G66abuCayPWcNlcb3ZaFOKUyONx+yvR73Py FzOcROGS4QHatOY3FHphg9B6V1FQjJ2aZ5X5jkY9lw41eIjCYlUB3kyrQkn+ tT8P+YvCrmsjAi4P6pDEE7dftjGicIPeEjDQ2YTWvryjnfohChoVKfe9mztQ Jk4IK20UBXkxgf1uqBMdL3uqrtAqCtX87xP43neiwu9+l/q7REF0T58ZBHWh y82m084johCxgc3g5NYeNDw8vnSeXQz04lXr1K7+QQ0iavzeOmJw4EUcl1p7 H9Jzdx+N2yMGfrMO0wXs/Sjze+b3MiQGe1+e2cm7tR+F+2sGCRmJgcJ4YAZr SD8yG9JeeWclBoeKp4W37xhANYX6RJ+bGPiE3vuqHjSIdEXv/OC9KAYeVg+j Jt8PonSPindbvcQAbY9v8f45iO5TjV1vXhODup7c1582DaH9YWZ/pe6KwadN lBCF8iFUeepIi+VLMZDvz+uiTAyj7Z9jc3wSmecLbd6TIjaCksW6Hr1MFoPy kbq2Xp0RFFRz3IyWLgZupn48AbdHkMF2x8rgj2IQ7GdYbrpuFJVwu3/82igG 8/03YurEx9BWx8yowRYx4Cja/+O19hh69YW4LNAuBl63hQZUbcdQgKfX1mO/ mPupJvxnETmG9Lp90mZGxUBK8djT3wLj6HNmYJwauzjgz54XahjjiMvMRjqG SxzmrrvlN/DT0KFRpWesfOJwb/v6ei9lGhqm/ohuExIHq99vhiJO0dCGZxJP bsmJQ/k6J36FOhpy0B4TGqeIw6OEWzv4h2goreXLI5tN4hDHarHj0RoNofWO Yapq4lDkLG11VpOO3O68D2nVEYeSOzJPjSPoqIAcwI3+Y9ZXaJhaSaUj1q+H 7qUBs35EyT2zYjqKmZ+9c9NYHNJOugvkjNBRubt+gLKNONz9a3P2kS4DrecX XX1yVBw4ha7KrR1kILu3Q/4r9uIwoKVVwnGagYi+h77NjuIgtzP6Y+NdBpI5 2ubtf0kcIpds7jvVMPPVzNvpocvicPmif4x/FwPlPPG7fMhHHLiTPZKUxxjI +AfZU/GmOPyzKe7azUOgJ+eniIjb4sC/oyn+tTiBfnF/81gKEocZHsqD+I0E umzgdqHxoTh8NPxv4wHEzM9//hvXfcTcv+Ht5SVTAvHeEDqf8kQcGnsebYOj BEr4+MHF9xnzfIe7x25dJNDY4ZChgXhxCFDUuOTnS6Adk8ecLV6Jw5JmqDXP XQLVqrGc2fhGHB47KU60xRJIvKb5b3g6c54egbOSrwl02iXl1EIGU0/VRdnx dALNJZo41OeLQzLf3569n5l5Fcn+2vVJHFTEEtOrywgU1kPYJ30Wh8Xcmf29 1QSiSkTZXSsTB//AV1G4jUAe+S4dfZXiYNMzJB7SQ6DCQ7pHDlYz9f74ev3f vwTiIATaPtaJA0+xzPmaIQJZhP45rNAoDm5mZEnDcQI9V8ltCW1h4k+cvOYE gQa/BVnNtYlD6I236iOTBNrqdKTpdJc4ZFy+4C8ySyA/VlXLul/ioLq4Z7hu nkBDhvwdin/FQXbFKWfdEoEsQ2gnbw+IQ90MX2TfMoGKan8Mdw8z/dbJct90 lUAbBbMuao8zj1cGPdz///clVhFzEQxxiBLUj+1k4vkoz4DxCXGwtTDLWGVi x04rbqMZcRB1Uan5yMR1pO2PXs0z+wV9JziYWPuUmMTSkjj8kQkkD60Q6FXS 7EubNSa//eRT9sz+fMPtitlsEnChsj3PaZFA3qqFmXxcEqBYa6TAxpy/1/25 tjOvBDzi983bNkMgkxy/r1hAAi6FjV5amCBQ/vRxI2khCVhSuu5szSCQ3C69 +isbJEDA4doL/TEChfjJ2zaIS8Cb7a8VKwYJNPmV5beKtAQ845AV6u4l0HG2 PucgWQk4bex7/l43gb7vK6f/JkuA2ckC428/CaR1P9lbZ6MEFB/b9fl5A4Hi 6+6uPFWSgNLcpk52pt6XrPevO6AuATHfX3tFFhGoK1olKklTApKXwmW/5BLI sItPdnW7BDi0LbZeY/pJ6vQPtbzdEuBooNeVw/RfUHJm/jokAXsFhJ3UHxGI Mfxoj6uBBORQ7byA6dcyDysz2QMSoJ6Ym7TpEoHUcre1+phJwCn7hXULTgSK nhE93mwhAeIy8g8d7Qjk5t/uFmwrASxKTfbzQCDRB8cfTpyRYOpvOLONn0A3 f/y3wcxFAhj6Gg+/LDPQiJB8XOp5Jp/275720BmoOOZvur2nBGRq+X7rr2de 3ylnaypvSsCeTzrBoqEM1DhibEUOZOqj2uDn4MtAumoqXb53JeCYTOtzfVcG EswbH9UIlQDVjsWDrQYM9KnkEu/zZxKgUjwWqjVFR3w9vvs98iWgzbdycr0+ HWn7pK179FEC7viFt79TpaPTIh3NWUUS4ONkKD+1gY4+7d9xYqKEyYeOTv/t QRo6+4HwvPJDAmgndb69CaKh0nCnON8hCbB03eF2OG8c0VSenooblYC/B8J7 P8WMI8nK0k1faBIQuxh/pM5vHHksyWWvTEoAPTzlKevecURy7ay4tSYBasYB VzJ/jKFr+uaMe5KS4BFVe8KhdRQl9/jnvZGRhOEqH7vuvFHU4PPuWpWcJIxH KvYLPB1Fipk87HybJCGf55nCI8tR1CJdLhGmKQnHxyhCMlUjSH16p/5TE0no tHxnn5Y2jAZTKZEJ/pJgrXpDPEJnENGC/i6w35IEMavqMZrAIJp0TDzpekcS It8birL2DiAWecpmzQeScD+at/XQ3QEkHUMuK4uRhJe9QTqpdf3IMlj+32Cu JESl9hu+Me9DX1xkzdRGJYGuFMK558BvFKksxVFoIwVrucoZnAGNKOL52e+n ydKgfzi42ofzG/a5GnjZnyoNv2P05Yu6v2EHq5fyMYrSEG0xeKoo5ztW42vz qVOThnszyqtjx6tx9fV9yjt1pGFzlbZKdVYdZrPbeF/AShpsudp2Zr9uwt4S fSYf70jDix2+3z4IduDjUyuzTfeY5x8M+e5ypQMbNkgl0e5LQ5uIlERLRwcW CT60RImQBvqyq1TTq06cOVvyLjReGjh2eMqZbunGIz8TBBw/SENod8aL/3b+ xsciT9QLDEuDjzF8LWHvw6Q8Phm3MWlY3v1ss/v2Pvyn6aNLNV0a3NbEX3c7 9WEnQRHWe9PSMFE4IbFc0Yc9HnzbtsYqA5KTlod1Avtx4C2NZxMkGYjg3WAl 9W8AGyb0DFqQZeCo00X6c9Ig5v56XyuTKgOZ7VPvW/cP4tCl/trzqjLwO88E ebwaxNFXY1f7d8pAwbKLj4rZEE67wOrUZiUD3z4bvNOPGsYXHmZmb7eVgajz zxRYi4exerr9yhM7GXBYuvDj4sAwzh3+EG1xSgaUjEtTjmqN4C+O56ur3GUg p/7h3IGaEdx4tEX9c4gMvN1m6rN7bBQ/8bnlJxUqA+1PdVNzBMawTfSWKp9H MsAXlqvaoD6Gu1qCT2+PloFFywmnVc8xPGC+JzIjSQYOXjioTZkew/OGKQsJ X2VAzecuq9TwOPb/nHCnolQGPjio7h1mpWEWrefrRitkYE3YOMSRRMPc8o8o WrUyUGzLNuBgScPiC9cOVLTLgJet6/2z+TT8/OLllpEuGegBlpDIOhqWHXI/ se43sz85WNN9gIY3tjh62g7IQGHMVzfZDXS8LcPs2cg/GUge52b1ukDHBVRj 6rppGfB0O9tKv03Hus/1MzTnZOA5xwkdkRg6NgjWLvVdkQHXfYFfrUvo2PI0 eVSAjwQXRwtk8tYzsIfY9C5NKgmkfFezcp4z8ORDRpmNIglcxN77x6UzsDfb qJmvCglu1v91Uy1iYH/i16lyDRLwOoUtancw8MPq7yE2e0iQFRgnxCVE4PVQ JuKLSFDANUwRlSXwk4Iv8S8NSCAWFsr2TYWZ/5Jysof3kyDd93a8qAGB396I 67huQwJGoJGdnQeB1aajHF8eJcEvVTJH4DUCZ5+PoJXZk8C9w+3iwUACfzxy l0XAkQQTjUdE6yIJrFsf8GCrMwnsD2yWCHhB4K+GvqI2riQorGi/0JrCzK+a F5VfepDg2fZ1Wc4fCGzy9lxumScJPL97uyd+IfAPOac9w1dIEKzgoxBQTmDL KIdv/NdIsF6lsHCVma9b+e0st/qR4Fj8ojy5kcBHA627Dt8kAe2w8N5+Zh7v mT/odP02CQ5cGxPe303g/kGDa2XBJPhtsP7KLDPfGyTUv1Z9SIK73n3dMaME fnX02I8n4STYfjNmYw2dwGvCQ3OLj0nw4lUECpsgsEOtp8KZKBLsN8iX/ztN 4OKgFbPaWBKoS14orJwjMEnvvs+2eBKQLFLYdi8S2G9O9HVcAgmKMxsnYZnA Xdmv6tiTmHx97AtsX2Hm+/Nqc26pJPhaZJ2xukrgWOonSmsaCb4w5D0K1gg8 17PXbE8GCYb9vpcxn0ewbXTD1eRsEgzdNU9vZ+IPFvaJAvkkmFH/b5M+E4vy Dtde+UgCvuiEHbuZ9S6Xec32FDH1buD8U8ns3+y3St73lQRFnXcU/zLn09zx wDSjlAQn7ueIhM0TOIIhdlWskgSXrqS/q54hMPEm8dWNKhLI/Fy3FD1JYPPT W2oHa0lwyHWVf4ZB4AzpwpmDDUx/GiuM948RWKDVkFzQTAKvotepZ4YI7BbW aCLXxtSLT838yl8C1xgd977XSYLP++iTYj0EVmEZSWD0kOAxb+yb/W0EDim8 XGPbS4K2PaduCTD1NFJ7KK80TAIb+9ezxmUEThkUN3k0RoK0BYEKXERgjoTX V+boJMj45i1WnUvgMuGi6u/TJDickJEfkUhgSu2+aY15EjyY9dKziCXwraAm udglElQZKFQkhBNYb27ksiubLND1kk3nrhP4RfaVl42csnD2m3PUKtPvy+dY qnfxykLcHP187BkCF/VIyPEKyYL62lO7IFMCS0Un7ffcIAs1j+9/a9Mj8DUL jcud4rKQozB99osmgbXLjKrSZGVhVpW6qC9O4Nw33l4mm2XB6uqJit1dDCx8 mvVFrrosHLy1XnZLDQNfkg77Lq0lC8nTHiivkIHVw5JJ47tkgTikXnUzhoHT vVq+PTSShR277z+UMmfg1/9pyvw4zZxvZ2hSzBs6LjPnu7PkJAvSNWkZV5/Q cd/J/jEVV1n4F9TMWPKnY2pgVNE9D1nYzaNJWrSk4+RvC3bgJwueu34F103T cIpFWWxepCxo5dzR4VGj4W+n4lj6YmRhY+fgEzdhGh7yvOIqFCcLjR4O+ddn x7FipOIu90RZ8CE3xsTgcZza8aBdMZO5T1mYSP/Bcfz2tLX48++yYHBBOpXT fgxXeandrKph8vMshEtv9xgeucM5NPtDFgYdnpYpyoxh5dSPH6xbZcF+RaWV r2sUp43J2Kz7KwurVu6gfHgUp18eeHprURayuUTtRXRHcMZdb2GXLXJwqOOT QVLDIKbtORF4d6scdE1Fetx5M8j8vjKcStomB8WxC64bAwZxuqPoz14dOTgs bpOYvmUQv0V5sceM5OCn8l+Nn8EDOHnhn7z5STmoTAm5t06zHz93v6C+47Ec WD89VHznWC8Otjljyj4jB18Sq3svmrfiHT2JacE/5MFg23W7npFSJKTuOp/V KA9vKjXG/pWXIVqAunFHizwYqonZ/3hZjpKpnweUu+RBKqk2qcW6Eom6tcrX DMnDP7/HzvVFVWjRn92Ui4UMCwGf5vf6NqBOfu3S/VJk6HumslJv24a+bX82 0iNNht2V3X+dv7ah/BPLgp4kMvzWzi35tKkdRWSVOTyTJ4Ni8e1nYVPtaL+1 xfLoJjIUPPgk1/ywE3167rrzoRYZEn6nh3zJ6EGxKnEZP0zJcIbvWL7/kb9o esoo5c5BMvhVvW2vuP8XWXydjNexIAPLtZ7TDZ//Ii5rk9AUKzKUkL/TlOX7 kLf/wvkbdmQwNe7s7OrrQ1YNR5S3uJCBcn5iJPnEAMp8xk7udyXDFbkd3OUP BxCvU5bEs/Nk+Ki8sBRbOIBK5rm4OT3IkOQlNHROdBBpKBQM9lwhg8s7o1Ph 3waRgLdoUmggGSYpfy4eIw0jV1Ty3CCIDB/afb++3zeMynkvPJm/Swa1l/aW GR7DyPdl+W2n+2SQHGFfK8DDaPS716k9EWTYkbdH8NeJEfRNukmW9oIMe52/ cCzfH0UKg/5irxOY/H2+GzqRMYpuZCmvO5rI3C9Hqj+0aRRtN7y1XJ5MBrb9 Sbx5EmPotbtGd9w7MsT0Wv/KShhDASVhsaaFZLiU1tLC8XIcjf0qiVwoIoNV Pb3t6edxZLs0FfHmCxkajlvNVXSMIzXtY/fZS8ggG0/jFBChoY53ir6fv5Hh b6N0l8ItGtpbbXf1XBUZ9nNG6X16TkOZQ6FeEjVk4DNh1NHyaeguZer85R9k CNJ8x6k1QkNaMdh+cysZWFcDg6gmdPQif/JI508yeBG6dW9P0xFP86bDwe1k GO6yia+5Rkd/BELN+rvIEP5f1Yu+FDoKDTz6X9xfJp/ShiP2S3Q0l/BQ50A/ GfQVH6gVCzKQY/HXHXMDZAjY2vvuE5WBdOY3qluPkOH77pvmN0wYaMh9Qo6f IMNb3QgR7acMdOjhRpnCf2R4LrMq6pjMQF/eHpFwmSTDg2JDe8UPDPS0v1iw fIYMNm7ZTVd/MtAqywS/5xxTf+lLkWyDDHRebiOP/AIZLA1RyaZpBgK7Byx+ y0y+tS4HawoT6N3V4mXlVTK8kbhTIiVPIPHIf/Nta2TI4lh8EatGIHq97YQW OwXO7C6LsDMi0HNDat8YLwVsx0My+68QiNPR9ncsPwXYn/fa+Qcw823A/S6j dRRITbA6k36fQMZFRPNrIQqEB4nxfIsnUG67QoOlCAUi7Asc81KY+XvGpnZ1 AwWEDos835FJoGmNL+XHJCjQdUV9y3wxgU4eJDCPFAXURCOtd1USqOa8wpcC aQo89mGhCdQRaEeIzScnEgWqF6z/eDcT6FVKSL6IHAWiT3VLXO4gEH/55+wS eQrsULS8zfGbQFd7Ge89KBTg+trBo9pPoL4VShqJSgG7Vp4X/cMEOihjk1Kz kcK8f//dokkjUOyAeom9IgWMuLVsWv7/+5QMnm6aEgUEEnxdJKYItNWnb+aG CgWeHiXZr8wQyB++CAlupkBdQJjS3XkCVfFGb36lRoGOYrvKzEVmvm65aKSp TgEWDQV132UCnYo/cLpMgwJ+3i+OD68Q6L0z1d9akwLLVTFms6sEmldfiR7Q ooA4+9Ri6hqBDOfbcry3U+D821TnBSaOKM2u49KmwBvmoymdibsfPBiO2UmB Q/i0+x0mVjzsxKaiQ4GTHyv4PzPrecnqyRbpUuAldee5SGa/r0MSu0z3UGBo gXRf8P/vV7InrHr+o4BCA3FRjTmv7fVad3dEAZkaPer4HIFeG6SErAIF5J5m ppky92XwByQ9MmD6Axb4zCcJpPPz6FeyIQUsEcNikkGgoJdanTn7KBCg6xW4 a5xAjS4C0wbGFHi1fDODzOTbdRGrOJtQ4El3oFz7LwLllz8znDVl6r30MyCF qR9L2OWTwQcpkBF9Tki8hamHvFJUmiUFxkPGWX9/Y+oxwpKta0WBgvKOeztK mHrkdtXUWjP7dbDf0Sgk0HfDcBaGLQWOto1u508nkMh6V5mAoxTQHkAS9EQC ObTrawsdo4DpE94az2cEmj0346Z1ggJNyUucTsEEMtjWcK/cgQLXd1lXNN0g UPjy28TDpyhAVfcv7rvM5PfR8farZygQy3+6jeHA5Peo9iS3M/P6cGzbNmbN 5JcitO7ZWQro7H1kfH8/gWzyyw0+n6NAaSohmbeVyU+naubaRWa94DzLwmUG anzNUR3hSYEPV2SM2hgMRLrwu59ymQLKZx/IxPYyUN7qYynDq0w+OBwE+csZ qI+6EBTiT4GPXwKncu8wkL7Hd3vh+xS4co2ne/s0HS12jBpVPKAAX73xosAf OsrfK6DlE0qBO/bzSTeq6UhR6hDPr0fM/z9cXqbygo4EKrry30ZTYJE9NPsD oqMOKcY6SGZe342LQwOeNPQkSGhhMoXpNxHefDdbGjIltAZS3lBgP3K1j9Cl oa8VPkX87yhg88ruSz4rDSVfZHVpz6GAu/DTN1cejqNLlaIlHpgCkVeEL6iF jSHVrTvfUUopEMgiMlXiNob6n9tFt5ZRQHpf49zCgTFke+nlBd1vFPgXm29h zzmG9sgoS3H9oMBIG4fViM8o4vHc7fWiiwL7NhkejzUbQQkkx411M0x/y1lf mfo4iHS3bVZ3nKOAQ7HCi5XwQdR6YHrn/DzTX5KQ8815EPH43DPduEwBt/9a wmJEBtGlpnQvfzYFuEor6tc/N4Dg3lSJmqACpEhWV6nw96M+IuhEmLICzGk/ PDuxsRdtLH8TbW6vAPf6N7AEJrSgiC1lqs1fFWBZlau4a3MxfrvLnjewRAHs N64OpLFijPdOD2uWKcCxFf/IYLcSzLBTTHlcqQDXdm6+oQ9l2PTeA/lDdQpQ k7PXNXuoEnP9sRJt7FSAOuvdA6Ubf2C/iP6VH9MKcOhmxluxtz/xkzj/nhuz CtB7MIptj0QbTk8V+7xlXgFk/dC4+L023PHF+FrYEvP4qbCAAcd2rD36btKM jQqlfLfDPkh24n/6V4ZrBangRT2QMXq5B5+d4miqVqWCkWoXYXvxL3ZIN6w/ rkYFjU2rIYEv/mLb00G1xBYqtN4PLrle+xcbNbB/E9OkwseE9JEqxT6s+I7t 8+mdVCg3Fz/U3dWHBx1ZUhb2UqGQ8+7u47sGsFPz0jWVE1T4lPK01qJyCB+/ v/vqFwcqOIhclZsaH8KHwe+yxSnmfKfRfiuRYWyYuejufYYKoxMjRw0chvHG BwuOpeeo0Naoqfhrchj368+Z2V2lgsd/mT0v1o/irnltE5oPFZQTRUZrto7i 5qyrxgHXqfBuXmldhtUoLpOd1U/xp8L6cj2+R1Gj+PXCtPZEIBUCog7wYYkx 7JgzSb7/iArCB5MT/daN4wuB1ssmj6nAFlIcsFV9HHtb57cLPKXCz8StqbfM x3HIjHd4RDQVMnakMf6FjeNMnYWlmBdUEIfRHA4eGv7Ed6zdLoEK2+IyBII3 0XBpd1GuTCIVhPbsl0k0oOHWG/7nEpKpEG64OfW5Hw0vlK61pb6jAi8W4I4d oWG2p6dyXTOosLT31IM6NjoWcCoNU82iwqXwF2FRJDqW47pjmJlLhbvvt8f0 m9OxoQlX7odCKqx0bE51zqRjcxmXMJ/PzHnf7F+3vZKOj9C+u+oUU4FbdYIa 2U3H58PvyxeXUGHHvk4xHm4GjmgWCKv4TgXskHiy4CgDP09yd71XTYVrRx8/ 5L3AwElX6vfur6WCTFDH8vhNBi4Qj1isrWfq26n47EQSA/cc2+Da8pMKjRve X6MNMfDQ5it7o9qpcEK/407uLAMTy61yRzqp4L8jrJmTi8BsCdE/u3qo8HBp g501lcBK/VJ7+/qpcPPR7f+CjhJ4a76vXPIgFQqU9oVmOhFY9273gvMwcz5u zmCnSwQ2U3qRPTpGhcNyUa1e95h5fn7l4TsaFcIG0n/WRBD4ZLWDizuDCklw 4E/GcwJ7uZHlJiaoIBls5Cea8f/fR9xeyJ2igoHu1eqYDwS+u66v9coMFYKE m2JSigkc/tsgW3uOCvqsAVX/VRI4Nivp4fw8FaKb7NGpOgK/vsXhUrTIxPfm /gq0EPjdIWcD/2UqHCuLjtnbSeB8hW+yeqtUeEbedoDjD4G/TikurK0x/RTq 99d8gMD/AyN5HAg= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10}, {-0.9999994091302796, 0.9999999999999001}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]]}, { PlotLegends -> {"Analytisch"}, DisplayFunction -> Identity, DisplayFunction -> Identity, DisplayFunction -> Identity, AspectRatio -> NCache[GoldenRatio^(-1), 0.6180339887498948], Axes -> {True, True}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{False, False}, {False, False}}, FrameLabel -> {{None, None}, {None, None}}, FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "DefaultPlotStyle" -> { Directive[ RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Directive[ RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Directive[ RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[2]], Directive[ RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[2]], Directive[ RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[2]], Directive[ RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[2]], Directive[ RGBColor[1, 0.75, 0], AbsoluteThickness[2]], Directive[ RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[2]], Directive[ RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[2]], Directive[ RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[2]], Directive[ RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[2]], Directive[ RGBColor[ 0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[2]], Directive[ RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[2]], Directive[ RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[2]]}, "DomainPadding" -> Scaled[0.02], "PointSizeFunction" -> "SmallPointSize", "RangePadding" -> Scaled[0.05], "OptimizePlotMarkers" -> True, "IncludeHighlighting" -> "CurrentSet", "HighlightStyle" -> Automatic, "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& )}}, PlotLabel -> FormBox["\"x(t)\"", TraditionalForm], PlotRange -> {{0, 10.400000000000004`}, {-1.111864832, 1.0770274063093992`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks -> {Automatic, Automatic}}], FormBox[ FormBox[ TemplateBox[{"\"dt=0.01\"", "\"dt=0.4\""}, "PointLegend", DisplayFunction -> (FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], { LineBox[{{0, 12.5}, {20, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], { LineBox[{{0, 12.5}, {20, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #2}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), InterpretationFunction :> (RowBox[{"PointLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"PointSize", "[", "0.004583333333333334`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.368417, 0.506779, 0.709798]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"PointSize", "[", "0.004583333333333334`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.880722, 0.611041, 0.142051]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"False", ",", "Automatic"}], "}"}], ",", RowBox[{"{", RowBox[{"False", ",", "Automatic"}], "}"}]}], "}"}]}], ",", RowBox[{"Joined", "\[Rule]", RowBox[{"{", RowBox[{"True", ",", "True"}], "}"}]}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), Editable -> True], TraditionalForm], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", CellChangeTimes->{{3.928921286223083*^9, 3.928921314648696*^9}, 3.92918366800307*^9, 3.929183726237211*^9, {3.929183757702714*^9, 3.929183908353428*^9}, {3.929183973883013*^9, 3.929184022838724*^9}, { 3.929184073049663*^9, 3.9291840884184713`*^9}, 3.9291843161668*^9, 3.929368582043*^9, 3.9294182478602037`*^9, 3.92942983956432*^9, 3.929434294763803*^9}, CellLabel->"Out[62]=",ExpressionUUID->"df8d94a6-0759-41c1-8b4c-235e21c1c23b"], Cell[BoxData[ TemplateBox[{ GraphicsBox[{{{}, InterpretationBox[{ TagBox[{{{}, {}, TagBox[{ Hue[0.67, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], LineBox[CompressedData[" 1:eJxd22VcFO3XwPEZQrq72V1U7AbEOMfuFjHBDkBFVGxBRbD1r5gYiIWFgYGK XCMGqJigiCDSJd0su+wDh/vVs2/uDx/Y2bnO9/rN7niDaPHa6cuUOI4rUea4 tv/+/8c246gx2VuDQLrTK3bDiUjW/nUoHDvt0bv6fzEsxnbvv2kxF8G3tOHQ ce/4/75/FXjn20eKDiayc2fbHjchPTF6mevNz+wZ/XwUzBt2L2PJou+sdFrb ER7AkQtxM4q8f/z3/Ecw0Vde9mH9L6aZesV3iOZTqDLsNfPO5nRGhzv7DJxK wg732JrJHOcfja9zjAWjLZmqjS+y2FM6fhx8ty37/cElh7U9O/WKANIdk7Yu jM5l/+j1XsH0pHiPA93yWT96vIbmUc5TLC8X/Pf6b8DO1WtpjlERe13X9gpv wUMjVPfxnmKmReeTABeWKiyXVZawGTSARFC2Pv3s7ZxSFkbn9x52fVmx+xYr Y7lb2w74AS4nG28rFFWwbnS+SbDti90RR6xk69tOz/cTWB307eZRVsle0Pl/ Bne1DxMDzlQxnhS+gnvvohL/YdXsGq3nK9ypPjC8d1E1G5fd9gLfINxDOfXU oRpWRuv7BvftYjac6lnL/hfftoDvIGsM72f1uZYNoPUmw8nGmC0G3nUsjQaU DC+MV8iXqdazHbT+FBhZmJGgeqGeidpOx/YHnB3s7ZzZp4G9pXn8AJUeSfyf 1w1s1fK2x08YsXmxU+X0RqZD80mFqIzV2OFvI3swpu0EU+G8Q/9inZVNzI3m 9QvUrtvOrS9rYk0E+Atqqz7a3vOVsgs0vzTY5mfS2bFSyobRBvgNaU/V30/z aWb5NM/fsNkpJd46v5ntJ9B08Bh4Y/DWuTLWg+abAcqfgz7MS5Kxb0ltjwwY 4quxJtpVzjbSvP+A31DJmfXX5MyibbnGmcAHxnY9qt3CXtL8M2HHuNlbm9a2 sEVth5v/F6Ral6dc/9LC2hvJgi2ZRUX7uynYTFpPFsD0sOYzexTsOvlkwdmr 4Y8TUxWskdaXBa4GczzVjDlhPHllQ/37L+d7u3LCeVpvNpS/jl88z4MTyskv G6523wp7AjkBaf050D9/D3c1nBOOk2cO+O93jn4Wxwl5dLgcOBTe95rwmxOc yDcXjhYmLX1cywn7aD65YBMZ9CpUmxd+E08urNJZkjRPzAvdaV55sM979i81 J17YSf55ELb62NZTY3jhK80vD3baxx1QdecFMe2HfLj51VMyYykvbKB55kPh Q+nlHWt54R3tj3w4MXXyjT2becGc5lsAyg8CzJYG8IIX7ZcCyHAdbGkbxAux NO8CaB6bYvkgmBd0af8UwrO1kxKtQ3hhIc2/EMb4+pgs2ssLD2k/FULBrycu O3fxggp5FMGnaT53NmzjhVnkUQQHT2/qOWo9L0SSRxG8dXAXKlfygpQ8isDh iPz65vm8MJE8imF+6E2vzEm8cJE8isGl6vFPyRBeqCSPYjiav7BpfFdeGE4e JWB09KBklgkvhJJHCTTorCsa08IJBeRRApP3uNlI8jnBhTz+Qefq7mkl7znh QPsFCKboum6IuMMJGeTxDx6oXAuZdJgTepJHKcB4zbIKb04IJI9SmBTAxx0e ywnfyaMUhvqfn9FNwgkO5FEGcb9jD55rUDB/8iiDXRbuPyuvKlgieZTBifWL 7i2ZrGCW5FEOW66HPJPXtDAf8iiHC98363842cLiyKMc4rQPjEnp18L0yaMC jg0av9Lxs5wtJo8KGLdGrer7Ujl7RB4VcPv3qOSsBhlTJo9K+PjQ0c8zRMba 91clXFf5FD7fSPZf/5UwJPVUeEFYM2vfb5UQ9dzXTlvUzG6QVyUsUWoZkBEh Ze37rxJ0c9iy5SLpf9eLSki70eP08/NNrH0/VkH0FMGs2LiJTSDPKnC6W3Va 6UAja9+fVdDLu1cXc1nDf9eXKhgrih80yLuBte/XKvj+KvL8jtR6VkE8VaB/ ZeX6Kqxn7fu3GjJXfoebN+r+ux5Vwzfj2NSnWnWsfT9Xw6Kg+0t7r65lJ2g/ VEPetdBFnZJqWPv+rgbvqOFn7jrW/Hf9qoaUMCu737urWft+r4H9U47OEn5X MWfaLzVw4mhYwYbeVax9/9dA4uDhsdpBlf9d72ogzapcx/V2BWvvoQZGD9P0 8R9fztJpP9WA09K0f035pay9j1qIuOo3r3LHv/+uj7Uw6+Plxr2GJay9l1ro d2KTd+GVIhZAHrWwJzdJGNa3kLX3Uwv1N54tjX+Z/9/1tBZ8axXWp0fnsfae agEdfJTLk3KYhDzq4Mq1roF1U7NZe191cHOM476Ya3//u/7WgWZw9t6Iaxms vbc68B61fJ5aRBpLII86KH3qnjYq7Cdr768Ocpf49Hv5v+T/rtf1oDf7ZW3S 3q+svcd6+DTKoOhmxQfmTR71cFuWctTr6xvW3mc9bN/vWuqy4OV/1/d6cEn0 4XnTB6y913rQX+u9Lq7vCaZHHg3gwM/Sy629AO39NsAYm3WHB7yLhvb3gwZ4 mJ3ecXEHAdp7boB1wd29H3R+B9Hk0QDe5euFMaOToL3vBuh94+j0h72/gSp5 NMK+sBolh8Ep0N57I9T97d/VYlQquJNHI5ztOXdK3wm/ob3/Rjg0dMEM/cl/ 4CZ5NMKa3auH3uqUBe3Xg0ZwjE0fNvVqNjTT+Brh76M5kz/a5UL79aEJxu3e El96Jg8mkUcT+L97NjpYrwDarxdN4LPFOXnVnkK4RB5N0L3E7fGq2iJov340 geuo+SdnLy6BKvJogtoKte0an/5B+/VECiEaRr+m9C+DEeQhhfNLovYoTpdD +/VFCvtGl78vbaiAk+QhBcfbxk71Nyuh/XojhYRNV5OL3aqgkDyksL/rXutY RWuH5NEMW1TO9J19oxoGkkczpMyatuPmxBpovx41Q8tyvBNWUQMHyaMZBvgf eWZ5rBbar0/NEHRxQ6lhzzr4Qx7NcNg5Mt33fR10IA8ZVPq/XCtaXA+9yEMG I/nAfIPGephNHjL4KRr2tdfBBthFHjKIXGhlvcqqEW6Rhwx29OqmfyeyEZLJ QwYqK2OnFvZtAhl5yODeLJ9sjedN0JE85GCsh52Vh0phMnnIoX9iVEl8nBQ2 kYccNnDhcwYOboZw8pDDha4LNNyfNMN78pDD0+v+jdo9ZFBNHnLo8jHs2MRw GViRRwuI3yyLVNOXw0jyaIF0fZO9vbfLYTV5tLSe37CMZ3lyOEUeLTD087Yf p8a1ACOPFhh9O0frxa0WKCKPFuh958ZRS3UFGJCHAp4PDym8uUgBruShgGsn +hh6PFXAEvJQwI8Z30ecUuHwEHkoYOzvQRf2duPwMXko4NOtgxM3T+UwkzwU MGb0loRV6zlsf//g0LpfUrxbKIdmtB4OH+rl9nWJ5rD98zOHR1P6TtT5yiHQ +jhc5xS351sJh+2fxzmMtdh7dJcyjytovRzu1ihdbmnJY/vnew63XLMacbYn j3S6R1tfr9n9UjPy2H6/wOFwNmUgTOOx/X6Cw1UeSwwWe/L4kXw5lP/O9Vrs zeNfmg+HOevGJQ3dyGMNeXMY3LJIUbedRzWaF4+fzTcZhOzm0Yr8eXQs8p5R tZfHXjQ/Hm0jv8/pH8LjCNoPPArpTbIpwTy60wnyOK5n1eyRe3j0pv3B41Iu +JPBTh4DaL487ohwbonx5/EE7RceTw2RfHddzeMNmjePOqsL159ZxOML2j88 ZhwKmJY8g8cvtODWdQmm1mUjeMyl/cRjx+ffEwr78NigaHvw6Dv81MG3Njxq kYcSCsdfZO1T49GOPJSwc+C73f0rOOxHHkqYF6y79mMKh2PIQwmT4hbmTW2d 4zzyUMKjb84uTjzL4VryUEL3q863BmzhcA95KOHE5NwX52dxeJo8lDBodF0q 35fD2+ShhB+flOxYpcUhIw8l3Dbieer9twpIJg8l7Njvx6AbvgooJA8lzPjX N0wwU0Dzz7YFK2Nd1YoctRctoEceyqgmdfHfN7cFJOShjFMD+vedXC8HZ/JQ xgWvhqxYdkQOE8hDGeNnafz+LZaDJ3koY3DQwVcvomWwnjyU8ezB2W9Nhskg hDyUcbVdQ3P9h2YIIw9lXO/asXj1tGa4Rx7K2BCst31/ihRek4cy+odu05kz Uwqp5KGMDkb5C0q/NsE/8lDGxqlHTswY3wSKu20HVEGHAUEul4RGMCIPFZzb eNIlq18jdCYPFcxOw7+drzbAIPJQwY+Gx36EGDTAFPJQwYHjq+wMt9fDEvJQ waLPcqu03DrYRB4qeC/dZWfF2Do4SB6t3+/xesrK27VwiTxU0NxJpXSWVi1E k4cKLus+ruXzyhpIIA8VfDRjbkDe62pIJw8VXPO0Q/Rt62qoIA9V7PjgeseB 66tAmTxU0Tfo5M3LCZVgRh6quHRhxEypRSV0Iw9VXNizWno/pRyAPFTx1nNV vyvrymAGeahiw9ud9xo0S2EFeajiuQE93qWFl8A28lDFOapjBvj3a/1cTx6q WBBcmdMUXwhXyEMV1zU/NT0+pQCekocqpvZX3eCTlgcfyUMVt5btqH2yMBf+ kocqOoZ45lzKz4Ya8uiASTmfv7utzAI18uiAd9WGot73P2BFHh3w53LbxMQv v6EXeXTA/PtKeU4fUmEEeXTA4RunR8S8SgF38uiALz97rb775Bt4k0cHdHr1 XlE8/RMEkEcHnFhx9UFm/wQ4QR4d8N7uPM8mo1dwgzw6YFjvDTfqsh/DC/Jo /fnOPouO9b0CX8ijA/qM2PPxbNBelkseaph5LkGnf+1d1hDUNkA1zJpS/uD9 sBdMizzUMNXTs0Hv9WtmRx5qWNDDd/WnnPesH3mo4YO06afmK76wMeShhsN7 h59p0Upm88hDDW+FHYttMPnJ1pKHGlaX6tq62qSxPeShhsXhR7YsF2Ww0+Sh hkP7nC61Ef9lt8lDDWf6PeF26WUzRh5q6CKateD3wRyWTB5q6ODhPaVUNY8V koc6Hvlf4aJ9O/JZ87y2E1TH+KHi1YHVBUyPPNTRvTTo/PWlRUxCHuq4M7X7 hk/JxcyZPNRRJuz6mQD/2ATyUEeF5JXGqshS5kke6ujluONlkE45W08e6hhz RVe/Yk0FCyEPdQyNk40buryShZGHOiYsu9yVN6pi98hDHbcpza+49bKKvSYP dVSddOJSp+XVLJU8NHDfnWEhnto17B95aCBuCxw47H4NU/Rt89DAnYc1Tzyd VsuMyEMD1995HBtVWcs6k4cG5jzJ6WF0uI4NIg8NNLfKi/rWqZ5NIQ8NDPOY Oy/1ZT1bQh4aOGlV8FWD6Q1sE3looHz8/2asyW1gB8lDA6/1e38wfV0ju0Qe Gljrnpw0Rt7IoslDA413fK+9vLeJJZCHBnYo2jU8TVPK0slDE93XjHT/c0jK KshDEzeu6DzwolYzU27/Bz+cDGkztUOamRl5aGKwz4kAc0Uz60YemqhypKEx er2MAXlo4uCNf32+5snYDPLQxJ55dnWe0+VsBXlo4pOEIVZusXK2jTw00T/G 5HeEuIUdJQ9NnHBk46XBe1vYFfLQRC7lxiTTvBb2lDw0MbykcrADKNhH8tDC 0LvywfNOKdhf8tDC3V4jTt0vVrAa8tDCH4GRqoetOUGNPLTw5m71stHDOcGK PLRw7uydHvxyTuhFHlronmhX/zSEE0aQhxb2+LPs6PIbnOBOHlr4y+neKI23 nOBNHlqotvv5hvNZnBBAHlo4s4PFM2spJ5wgDy10G3K2MtiAF26Qhxb6Lrvp +qsTL7wgDy2crvKwUceVF76QhzaWTlr5ueMEXsglD238tcw8wmYuLzRotHlo I+dXeL5mOS9okYc2+vnrdLu+jhfsyEMbnWs6yPpt5YV+5KGNDkPjlM4H8sIY 8tDG4BN3Nv4J4oV55KGNZ9OqPzcE88Ja8tDGt0ZeSSWtX+8hD208vef22iet P3+aPLTR31+/ZW7r8W6ThzZaCze5tC28wMhDB7Nzeo7s03o+yeShgzmFeb+W tp5vIXnooGPJdsONc3ihOavtgDqYMbskZMl4XtAjDx18VtfbqO9AXpCQhw6m nOz6LacjLziThw4W3R4p2qzPCxPIQwdnXh1wrbaREzzJQwcrrG7hvL+csJ48 dDC/udj83mtOCCEPHYzfuzG05honhJGHDmbOOze3ezAn3CMPHRx2gpuxYCkn vCYPXez6p9e1A8gJqeShi5NStWNiLDnhH3no4s2OFxb/ylcwBX1A1cV5734V zziuYEbkoYvdddTHlbsqWGfy0MUIf98hD/+2sEHkoYuPb+nJbwW2sCnkoYvR 310H5Nm0sCXkoYtNI3tpeD2Vs03koYvXo0P1x02Ss4PkoYu9darcjvyVsUvk oYt7QddtzBoZiyYPPeyuP71pV1MzSyAPPdw8RP38xF3NLJ089DDC9pLSE9Vm VkEeejhM+nP+p2ApUyYPPXSamDc8QkXKzMhDD98M2Bs9MqCJdSMPPTSbqWn4 tr6RAXnoofGgGQ79vRvZDPLQw9fJcfpXMhrYCvLQw75/9eZLJjSwbeTR+vNZ owrfPalnR8lDD39FeZVdsqtnV8hDD6fLZ/Kv9taxDFqPPvrpL9QaUlzLCshH H781mI/pPL6WVdL69LHboWw8EVnDpOSlj9YB+5NDVWqYCr1f6mNMwp+O6FHN dOn6po+PYnpG3nxcxczp+qCP6rqfDAo0q5iY+tJHw2E7PTQ9Kll3moc+BhV8 Pe3uUcGcyFcfywNL7zJZGUOajz4OPbXMb/PpUjaevPVx4a3BSXd7/mMzaV76 mL2+Qf9QfDHzIH99THHtqYAZRWwlzU8f10zWflafVcD8aD/o4+ihb+L+eOez 7TRPfYzb21gkrs1lwbQ/9HHZHIsltVty2DGarz6eGhNzLVCexc7RftHHEy+v ZpfKM9lVmrc+ellKDmnI01kU7R99rM7Qeve48ReLofnro+7We/5Tq36weNpP +vhmUH6+S+F3lkQe+hjceHvhhcdf2E/yMMDA4s2bcs+8Z1nkYYDBkoGzVLa8 ZiXkYYCdWpIm7Lr7nNWShwFOMOC9l328w1po/xlgZIzb+6asQKZOHgb4ftHf EavnXQVD8jDAsaaLJ070fwLW5GGA+8y07+l5vIJO5GGAq64X5fzcmQC9ycMA VQPGyp6f/wSu5GGAlR8hcUf6NxhJHgY4KeDODJ+CFJhMHga4O3XWqvflqTCb PAzw/sC6iAG1v2ExeRhgea1QP63+D/iQhwGuqflftufWLPAnDwOcc7P76mMN 2RBIHq3zGMolHPTLhQPkYYAqX6cskPzLg1DyMEC3wgPFjosK4CJ5GGBmT/nG NSmFEEkeBmjhvGHJu5HF8JA8DHDaud9rlB+WQCx5GOCbzwlPGq1K4R15GGDP RuVXW3aXwVfyMMTBWoqAufnl8Js8DDFggs0dZ3El5JGHIaq//X783ZdKKCcP Q/S7tiF85LYqaCQPQxwYNyP+vEM1KJGHIfbPn9Hl+cdq0CYPQ2w6tHXiPt8a MCUPQ7RjG/5VG9aCPXkYYoOjsUHBw1roSh6GuLM03mTy1DroTx6GOKeo7LLZ vzoYSh6GWNJ12f1ee+phLHkY4v1RD4/tMW+A6eRhiJuclxZztxtgPnkYovG1 qc9PujbCcvIwxDiLDx69ExrBlzwM0Vfj41E2tQm2kochdppmsrxvahMEkYch OlaPmr95rhSOkIchqiVkTN31WwpnyMMQt1Q77xvi3gwR5GGIT97vjrrwtRnu kIch7pKfTjs+WgZPyMMQr7z7eUD3mQwE8jDE3hkl95Uc5fCBPIzwUHPwzUUn 5JBCHkb49aPBCNtmOWSShxFmF46M6+bZAkXkYdT6/JdfdrAWqCYPI8wqCLys bq0AGb3fGGHK+NUpwgYFdCAPI/yhdmVX2HsF6JOHEdbnl9qM0eHQkjyMMHPL zH0J/Th0IA8j/OySNXL8bA57kocRbnXVSP2wlUMX8jDCWz/9+VFhHA4nDyMc phz07tEzDieShxF6ZcauNP3J4SzyMEI/t5neyys5XEgeRvg37X/HL6vz6EUe RjjezDnvjS2PG8jDCLdd+HPjU18ed5KHEY5cP3HFs5E87iMPIzwZ8rZ870we j5OHEU5sGD+pz2Iez5OHETrZZaQ8W83jdfIwwnd+tyxtN/F4nzyMsEV/dMP8 nTw+Jw8jNDGMD964h8c35GGMnvu/Oq4I5vEzeRijrsvPwD4hPP4iD2N0K6/b mLKXxxzyMMajZ436Td3NYyl5GKOm4nOna9t5rCcPYzRz8FdO2cAjRx7GqLes Iu6PF4+a5GGMzUPCjr/24NGYPIzxbGKP5uCpPNqShzH61wbEdEEeHcnDGP/s nP3pbg8e+5KHMS550D3AxILHweRhjJ/Kf7ktUeJxNHkYo8hsmtW5Yg6nkocx Xkkamx77mcO55GGM+68m53x+wOFS8jDGHlPkLPk4h2vIwxh3vJkz7Ms6DjeT hzGu2n1449vJHO4mD2NUKf1063kXDg+RhzGqp81ZE63E4SnyMMY3SSlmq6IV EE4exhjb18UyeIECbpGHMUq/hK9LVFbAI/Iwxp/r9ToOut4CceRhglzZiuji kS2QSB4m2NtLzTDrrxy+k4cJ1k+YeLvrJjlkkIcJFp7UW/BTUw4F5GGC1r30 N1Wek0EleZjgJ8nUZ8GdZSClzzMm6GO1dPqN+82gQh4muNnl8Z+FTs2gSx4m +P7M40XxMVIwJw8T/B2lNjndWQpi8jBBy6gzW15EN0F38jDBhlFR9uu7N4ET eZhgelFhjmFEIyB5mGDqn36vbhs3wnjyMMFxC2KspgQ1wEzyMMEe0vv3dKvq wYM8THB8GJ6Uza2HleRhgoljXYZ0i68DP/IwQYlx8pq7nepgO3mYYMKiFaNO 7auFYPIwwewMnZ5NhTVwjDxaX89zaH7xyBo4Rx4meNF8yYbtl6rhKnmY4Ddc 3OttQxVEkYcJXrli+/DXpCqIIQ9TvDyj4s/Hy5UQTx6meCjSJmpFYQUkkYcp Ss1UVCaGlMNP8jDFbZfKeV9JGWSRhylmPB60WPHiH5SQhyku1i2d0mlaCdSS hykO7TNgkUFuEbTQ52VTPFHY4XjZukJQJw9T9OkcNLRIng+G5GGKAT18bXqF 5IE1eZii5YZjrpU6udCJPEyxyFmlas7xbOhNHqZ4bPDx/HPGWeBKHqYYq57O v+nyB0aShyn6e+Qmx3b6DZPJwxRv+9xT7LRvff8nD1NcuDEhcpVZCiwmD1Pc NMhiYobWN/AhD1Ncu3bzytWyj+BPHqZ4YO/s9Ad/3kIgeZiiy9nKf4c2MzhA Hq3zEHdw+NUnGkLJwxSvb3zey/ZKGFwkD1OMijsXuj/oJIskD1O8N93NZsmt B+wheZjhVbsgu81VL1kseZihzv51Z9davmXvyMMM/Zf1Hndw4Ef2lTzMEDeq jLlx6yv7TR5m6NdgH779STLLIw8zHPxmR0Y++8nKycMMPav/bNjzLo01kocZ Po+uHVj/PoMpkYcZDjtltvDv+79MmzzMcNEIv1GVi7OZKXmYYaDR6tJPmTnM njzMsN9e34Y5s/NYV/Iww4HOOfzyL/msP3mYoWx3Ut3rEYVsKHmY4RiXfQaj HxexseRhhtWyeWVxkhI2nTzM8OIl/V380X9sPnmYoWrUli7Z9aVsOXmY4dvw qrt95pUzX/IwQ0ll4qiEFxVsK3mY4bLo5MmDDlWyIPIwwztBa9cccKliR8jD DE/Xuf94kVPFzpCHGW7uGHf2+YFqFkEerevrUm/q17uG3SEPc+y0hqv8lFzD npCHOeaO0zR8vqGWCeRhjmf88p+IjerYB/IwxxY1/xW1UXUshTzM8XGBaYvV 2HqWSR7meLexJjI4s54VkYc5VrjMLRX5NbBq8jBHTiy/mq7UyGRH2gZojr7Q RzPiWCPrQB7muPG81f0lVk1MnzzMMeXDj/16V5qYJXmY47uhwf9CO0uZA3mY Y8lLn0O5kVLWkzzMMTk8Z9+/Ts3MhTzMcXTk5KUXLjez4eRhjjGO2lol5jI2 kTzMsefUUSnxh2RsFnmYo+tEYY+FXMYWkoc5epldmpC1Ss68yMMcRU8NPmsk y9kG8jDHoEdS2/0uLWwneZjj6/N7304718L2kYc5/p5176V7Yws7Th7meMBW 2HJ0uoKdJw9ztKp/klsWqWDXycMChyy+7rGyWcHuk4cFnhHzS6UOnPCcPCzQ dPba2JHjOeENeVhg2aujV46s5oTP5GGBoxdMfJ18hBN+kYcFep/XU9WP4oQc 8rDAjfyo4/CRE0rJwwLPpX9L8SjghHrysMBB5sGbvBScwJGHBf6x2Lvc05QX NMnDAjvvu/7FtRsvGJOHBcq0v4ilQ3jBljwsMKUGDcMm84IjeVjgwst5x60W 8EJf8mh9vd/7Mras4oXB5GGBbsmWXo/W88Jo8rDAdfIfTe+38cJU8rDA98e9 Dz/bxQtzycMC1X+IvHbv5YWl5GGBBxUl5g4hvLCGPCxwa9H65ReDeWEzebQe f0rXJVV7eGE3eVhgp1+uS2wCeOEQebSeT3Rwi3gzL5wiDwscV3dMX3ktL4ST hyVuOrckJm4JL9wiD0s8P9JntvssXnhEHpaoeWfqqc+jeSGOPCxR++vzuZ0G 8EIieVhiRon1t4UiXvhOHpb4rffqFYFavJBBHpYoWpL2KaSGEwrIwxJvgV/9 ljROqCQPSzT/9dl47ktOkC5r82h9fvqNC90ucYIKeViierbX6OqdnKBLHpY4 9flblYfzOcGcPCxRtbCL7loXThCThyX+7TE2tYchJ3QnD0v8kaveuSBZwZzI wxInXX+9MiRAwZA8LLFozudv4zor2HjysMQ0zcaBLh9b2EzysMRFyturFni3 MA/ysEQsusDeqbWwleRhiVH9nbN3hsuZH3lYou8IJ7UTA+RsO3m0nq+xnpt+ gowFk4cldlDYeKq4ydgx8rBEj2CZ446/zewceVihWWCiZP/yZnaVPKwwMmFB d+cSKYsiDytk0bv3n/KSshjysMLiELWSJ4VNLJ48rNDfJm1x5KImlkQeVjiA U1u97Vcj+0keVth7yMtcnNjIssjDCi0lfZU0XzawEvKwwmMD9i0q6trAasnD Cr+fvFpfdrKetQxu87DCGgepXo+WOqZOHlZYeHXcjJgldcyQPKwQ7NxfRLyr ZdbkYYVn00JPKjrVsk7kYYWOojcBOUE1rDd5WGGd86FlnlnVzJU8rPDqPbWd BwZWs5HkYYXvdo4dt/lYFZtMHlaYbJt8eEh+JZtNHlZopGQwq8K5ki0mDyvc vWRj+iiDCuZDHq3z+Lg+Lj2qjPmThxV2/qqW83FsKQskDys80itt1PC/JewA eVjhrpd5s7z9ilkoeVjjxqwOJeuVithF8rDGyPFbnPYfLWCR5GGNqhdGfv1l kc8ekoc1Ho64HnHsci6LJQ9rXJGyuiSzUw57Rx7W6PhrfO/qm1nsK3lYY71b n+Bqt0z2mzys0Wmey9LRM9NZHnlYI3do05GhU36xcvKwRs+znkquY36wRvKw xrrG2VZnBn9nSuRhjbW+5rrrPD8zbfKwxhhvXF8/LJGZkoc1Rs/7+zpQFM/s ycMaS6dk+l+WP2VdycMa7w2Rr77gdYP1Jw9rDF8UwR08shiGkoc1NjbYTh8f exPGkoc1ZnQd1mdYp2cwnTyssa9OrNaVx/EwnzysMfFEXtWvH4mwnDxa1/PR /zRf8xl8ycMaj0WvmNkz+DtsJQ9rNL5c73Dy2A8IIg9rTF+gdNrtzC84Qh42 KGOB7voX0uEMedigafEWv+UXMyGCPGxw3cU592SfsuAOedig0oXrQY/H58AT 8rDBrCU3K3u+zQWBPGxw9ejz61yH5MMH8rBBbn3H7zcfFkAKedig+QGVXlM6 FkEmedhgre0TmSy0GIrIwwZFvto6wfw/qCYPG1SNjA196VUKMqM2Dxu8X/+3 96avZdCBPGzwR+qK0uC+FaBPHjZ41yc+YuHYSrAkDxscdz7g7I66SnAgDxus nyUY7w2vgp7kYYMrFq7QXzyuGlzIwwYPBWxNUlRUw3DysMEK13tfxoXWwETy sMGN+eXF3ZxqYRZ52OCiO9+cjv+ohYXkYYOHZ+vbr/KrAy/ysEHpxlLPC9r1 sIE8bLDx5BFl66v1sJM8bHDNormrv7s0wD7ysEW+r4t71IcGOE4etuhQkpxy YU4jnCcPW1z79qvb0fxGuE4etliVXnVj3ZomuE8ethhu7NzUr7YJnpOHLa4a WZ721l8Kb8jDFn+7xAw1q5fCZ/Kwxdw1u3ab+zXDL/KwxcvOa1Y+L2mGHPKw xde6z23KPWVQSh62GFa4f9C1bzKoJw9bPOH8IPEbyIEjD1ucGbxq0PJbctAk D1u8Nkm21c2gBYzJwxav13pkH9/QArbkYYuJ0cJgw5QWcCQPW7zSW/NbQi8F 9CUPW9wZMXlOZIgCBpOHLfab3lPjZroCRpOHLVY6mCT8NWm9/ycPW5y2d4N6 1aDW+3/ysEVXfacw5YWt9//kYYtWzmH6Rrtb7//JwxaTgvsMtIpovf8nD1uc P3VWR3Oh9f6fPOzw8NaHHTtktN7/k4cdvvCJ+phd13r/Tx522KKSWXxDh8dw 8rBDp0NLQ90kPN4iDzt8HTZVVOTE4yPysMPQ4grHBWN5jCMPO5xYaRn80J3H RPKww65em2cVLOXxO3nY4YpTMdL6tTxmkIcdfhiWaJq7mccC8rDDzoea/3cz gMdK8rDDvct6nx4XxKO0pG3Bdvg0rig0PphHFfKww05e84cYh/CoSx52GH5r d/DQvTyak4cdKtYY3Rq2i0cxedjhNtfAjrbbeOxOHnZ4/HnesxQ/Hp3Iww49 tCu8l6/kEcmjdT2P2J6UeTyOJw87tJ/46pD9JB5nkocdDird5DZxMI8e5GGH trPGVszpwuNK8mj9utApaoIxj37kYYez5l10dJBzOJR+HcMe36zKdCrI5fA1 +dhjxAilmtBEDsfS/66xx2reM6bfbQ4/kZc9uuh0lbw7yOF0+jhpjysOqelP 9eIwlfzssajoWNiP0RzObztdiT1G+yeL5ok4zCZPe7wVfmTbhxoFLG87XE97 PFmx/X9V4Qr4R772mBF2JnrAeAX4ts3HxR53Fow/cLmiBerI2x6XTah0wv+1 wNa2eQ23x4ELt0636dUCCvK3x0BeuXTkezkEtY1voj0mSaeGvPaUgwb9e409 Rs6ebHW9WgZH2pbrbo9HQn31pbtkYET3p/Zo9ckQPunI4Ezb4RbZIwyNL+tx qhls6PO4Pcp77vjS1aoZItrm7W2PuQfz+OTzUuhMnwftUWPFQi0nKyncaZv/ Rns0POOctuRUE/Sh9z97tI0599JHtwmetHEE2OPkpxGrF+1phEHUuz2WjR+h mF7XAEKbxwF7/LihT+H0pQ0wivabPWYti6v3+1oPH9o8Qlvnqbg+5+3AephC +88eHQf+OjE/vA5S2jwu2uO9u44BE1TqYA7tR3vsfkFt3LVltZDZ5hFpj3ev i3x3vKmBJbQ/7XFOSPOrQvsaKGrziLbHLl32zG7cWg2rab/ao2zS6dOvv1dB dZvHS3u86RDc1cOxCjbR/m09f9M9/J9tlSBr80hoPR90vHjrXAXsov1sj+el ZZrPBpZDB/pzFnscbSS/of+jFA7S/rbHz72/jf3j8w/06c897FF95JzeE/gS OEn73R4v9grRCjleBJb05wb2mL3y+7+X9oVwifa/PW4dGjXM5k4+ONCvm9tj 5/W1P7/3z4Ob1IM99s8Y+V77RQ70pF9Htcerj+YGNQ3Nhmjqwx5vR93ffHTX X3ChPkRo1tn468RdGfCS+hDh5/Bh/vt3pMFw6kOE0as+4FX/n5BAfYhQxyRx hcwnGSZSHyJ83rHL1qqFX+Eb9SHC9xYFV95d+wCzqA8ROv2p018a/AbSqQ8R umybe6shMRYWUh8ifOxoE31h133Ipz5EWFBVU1eVdQy8qA8R3o/4UzJdEs4q qA8Rbl8Fof+b+4htoD5EqDXP88n2qQJroj5EqNrwYPW9de/YTupDhA9ab8fs jyUxZepDhPumCA4hbt/YPupDhA8HYHXGwhSmQ32I8PrJ1dEPVqWy49RH69ez xtdcW/ubmVEfInzyffbpuX5/2HnqQ4SBb65tjHHJYiLqQ4Tf7WfOGvUkm12n PkS44VxPrWt9clk36kOEj5ZK6iNv5bH71IcIV8H012JRARtAfYhw2eeXa/JC C9lz6kOE2XY14wTVYgbUhwj17l/n968vYW+oDxH2GTj6ikHmPzaO+hChxuWd ET1GlbHP1IcI89weZ96PLGczqA8R7nZ2TXFWqWS/qA8RVvktXWL3sJItoD5a ve3GxTUtqGI51IcIZTuz3z1Qq2YrqI/WeYSNjeh7r5qVUh8iHOs24cWKmTVs HfUhwvzfFW8GN9SweupDhJGjamMvnK5l26gPEXZXHVnuP6COcdSHCOVfltQ8 +lrH9lIfIuyYlBwzclU906Q+RPj26ooAI0U9O0p9iFB9RGim7vEGZkx9iLAk ++E7B3EjO0t9iDB2wMA9I+41MlvqQ4R7FhXEzhnYxK5QHyL8ujFv2yyhiTlS HyJUcsrs0mWklN2lPkQ4N0c99NUbKetLfYgx8Z2oTG94M3tKfYjx2xTPLyqx zWww9SFG/5VuQ//XV8ZeUR9ivJCfFHn9moyNpj7EqPn2cImTiZx9pD7EeFHN enL/XXI2lfoQY5fK5Uf+VyxnP6gPMf5Z5/Vr2OQWNpf6EKNGWHySy70W9pf6 EGPYh967vLQVbCn1IcbdgYa7Py5TsGLqQ4w1594nT32hYGuoDzHalWhKN3Xg hBrqQ4zLbt9bPaUHJ2ymPsQ4wa6ppct0TpDT5wkxvvA92Ul5Iyfspj7EeGL+ uPM/T3KCGvUhRusCf/fwR5xwiPoQo6fr+aPzv3GCAfXR+vyHH2LVSjnhFPUh RscikzMXVXjBivpondd7qZWtFS+EUx9izLkRF7SnFy90pD7EOKPnu6lJw3jh FvUhxiMueVg/jRd6UR9ivB8YPlvhyQuPqA8xjrL0z8z35oWB1IcYR0ZrzI/c yAtx1IcYp4S6Xxy1gxdGUB9i3Dc37XHsbl5IpD7EuHj5lXrtYF6YRH2I8W3z lsYBIbzwnfoQY61+5inn1u+7Ux9iDP9gUGWwhxcyqA8xnrtq7PW29fiLqA8x nh9zOnK6Py8UUB+t56tTeOq5Dy94Ux9ivOn8bXHLQl6opD7EOC51xw67Gbyw kfoQ4ym/4WF2I3hB2ubxTYzNy3yiuT68EEB9iJFpKXNvrXlBhfoQ47b7u+Rr OvDCfupDjLYL9nvx5ZygS32I0T7wwJiAZE44QX2IcVfg8p//nnCCOfUhxq6j Nc6NP8MJF6gPMU57I3W7tIkTxNRH6345UaRTPpMTblAfYrS42Vl1UG9O6E59 SFB/aM+4Axqc8ID6kODoXK3a168UzIn6kOD8rT5rD/oo2AvqQ4Injk9e4W+k YEh9SHCLr/TT0Sct7C31IcGkmlSdXLcWNp76kOD+7Wrq26vk7Av1IcF5A0sN V+yXs5nUhwTddCIb79vIWRr1IcGrg/fXLY+SMQ/qQ4L3DbyenBokY7nUhwQ/ 3FVyn/y2ma2kPiQ4w7XHwvMTmlkZ9SHBn/et3x39LGV+1IcEJ/kFFzhPlrIG 6kOCCwrjgq9+aGLbqQ8Jlix9/y1/RBPjqQ8JqhyfN0v7eSMLpj4kGHY4RaVL j0amRX1I0MDYscekCw3sGPUhQe2Cl9sPaDYwE+qjdb3Ro2TVG+rZOepDghu/ BOiczahjdtSHBA9VSVceHVbHrlIfEtw7KcGq+Eot60J9SLB8jN3eZ8q1LIr6 kKC7YYeZxotqWD/qQ4LRWzKCdGKrWQz1IUG+X6nHM+NqNoT6kODOmuJ13b2r WDz1IcHEiDUntrFKNob6kODK+hUZLwwqWRL1IcFTR/hJqm/K2TTqo/V885WM Pi4sYz+pDwk+7TvtQW3TPzaP+midt10TRB0tYVnUhwRPR3Yb4SAuZsuoDwlK 499e2/OgkJVQHxJ09PwY3TSkgK2lPiSYv/On8aOEPFZLfUiwUH3bu6zJuWwL 9SFBK+1w06jkbNbSdj+UIUEbhy8Xxs/KYnuoDwk+X1Ln9+HuH6ZOfUiwx8BN 2nNv/2aHqY/W8w/XfRRxLZUZUh8STPZ4uV35Qgo7TX1IsNazLCX9f9+YNfUh QcmK1XWmGp/YZepDgqJdzll5Je9YJ+rDAefC1szs9wL7PydtUKE= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ], TagBox[{ Hue[0.9060679774997897, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], LineBox[CompressedData[" 1:eJxTTMoPSmViYGCQBmIQjQ5mzQSBm/Y75FpfB+74tx/Cf2m/0bj1XPYbpgMm xiDw2b7uy8VLqy68h8r/tC9826S5y/6TPdQYh69/Lqd+NmR2ACs3ZnZ4qLsi xp7nr30aGLA53FixdlLf5SP7wdpncjrstDoUslyB4cAZMOBxUKw5luU+kenA fzDgd8jYsyWo++8rqHpBBzejBxHuTV/sIeYLOxRwXD/el8jscBasX8RhwpO0 x//tftung+0Tc3B4ePPfyuNX9jOCnSfhIHBTOXHXJYYDs8HmSTrM2FQY9E6B 6YAp2DxphyJ/9pIZ3M/2nwebJ+OQnlpikrH2m30m2Dw5hxappKns1cwOEPMU HA5pfvNcFPTT/hxYvYLDAtuXihd57++HmK/o0GQpvGtaIeOBDLB+JYeIoJqr D2YzQu1TdnByvcFTwfBwPyROVBym2kzbuWjfD3uI/SoOT6YJbneoY3YAAJpK wYM= "]]}, Annotation[#, "Charting`Private`Tag#2"]& ]}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{}, {}, Annotation[{ Hue[0.67, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxd22VcFO3XwPEZQrq72V1U7AbEOMfuFjHBDkBFVGxBRbD1r5gYiIWFgYGK XCMGqJigiCDSJd0su+wDh/vVs2/uDx/Y2bnO9/rN7niDaPHa6cuUOI4rUea4 tv/+/8c246gx2VuDQLrTK3bDiUjW/nUoHDvt0bv6fzEsxnbvv2kxF8G3tOHQ ce/4/75/FXjn20eKDiayc2fbHjchPTF6mevNz+wZ/XwUzBt2L2PJou+sdFrb ER7AkQtxM4q8f/z3/Ecw0Vde9mH9L6aZesV3iOZTqDLsNfPO5nRGhzv7DJxK wg732JrJHOcfja9zjAWjLZmqjS+y2FM6fhx8ty37/cElh7U9O/WKANIdk7Yu jM5l/+j1XsH0pHiPA93yWT96vIbmUc5TLC8X/Pf6b8DO1WtpjlERe13X9gpv wUMjVPfxnmKmReeTABeWKiyXVZawGTSARFC2Pv3s7ZxSFkbn9x52fVmx+xYr Y7lb2w74AS4nG28rFFWwbnS+SbDti90RR6xk69tOz/cTWB307eZRVsle0Pl/ Bne1DxMDzlQxnhS+gnvvohL/YdXsGq3nK9ypPjC8d1E1G5fd9gLfINxDOfXU oRpWRuv7BvftYjac6lnL/hfftoDvIGsM72f1uZYNoPUmw8nGmC0G3nUsjQaU DC+MV8iXqdazHbT+FBhZmJGgeqGeidpOx/YHnB3s7ZzZp4G9pXn8AJUeSfyf 1w1s1fK2x08YsXmxU+X0RqZD80mFqIzV2OFvI3swpu0EU+G8Q/9inZVNzI3m 9QvUrtvOrS9rYk0E+Atqqz7a3vOVsgs0vzTY5mfS2bFSyobRBvgNaU/V30/z aWb5NM/fsNkpJd46v5ntJ9B08Bh4Y/DWuTLWg+abAcqfgz7MS5Kxb0ltjwwY 4quxJtpVzjbSvP+A31DJmfXX5MyibbnGmcAHxnY9qt3CXtL8M2HHuNlbm9a2 sEVth5v/F6Ral6dc/9LC2hvJgi2ZRUX7uynYTFpPFsD0sOYzexTsOvlkwdmr 4Y8TUxWskdaXBa4GczzVjDlhPHllQ/37L+d7u3LCeVpvNpS/jl88z4MTyskv G6523wp7AjkBaf050D9/D3c1nBOOk2cO+O93jn4Wxwl5dLgcOBTe95rwmxOc yDcXjhYmLX1cywn7aD65YBMZ9CpUmxd+E08urNJZkjRPzAvdaV55sM979i81 J17YSf55ELb62NZTY3jhK80vD3baxx1QdecFMe2HfLj51VMyYykvbKB55kPh Q+nlHWt54R3tj3w4MXXyjT2becGc5lsAyg8CzJYG8IIX7ZcCyHAdbGkbxAux NO8CaB6bYvkgmBd0af8UwrO1kxKtQ3hhIc2/EMb4+pgs2ssLD2k/FULBrycu O3fxggp5FMGnaT53NmzjhVnkUQQHT2/qOWo9L0SSRxG8dXAXKlfygpQ8isDh iPz65vm8MJE8imF+6E2vzEm8cJE8isGl6vFPyRBeqCSPYjiav7BpfFdeGE4e JWB09KBklgkvhJJHCTTorCsa08IJBeRRApP3uNlI8jnBhTz+Qefq7mkl7znh QPsFCKboum6IuMMJGeTxDx6oXAuZdJgTepJHKcB4zbIKb04IJI9SmBTAxx0e ywnfyaMUhvqfn9FNwgkO5FEGcb9jD55rUDB/8iiDXRbuPyuvKlgieZTBifWL 7i2ZrGCW5FEOW66HPJPXtDAf8iiHC98363842cLiyKMc4rQPjEnp18L0yaMC jg0av9Lxs5wtJo8KGLdGrer7Ujl7RB4VcPv3qOSsBhlTJo9K+PjQ0c8zRMba 91clXFf5FD7fSPZf/5UwJPVUeEFYM2vfb5UQ9dzXTlvUzG6QVyUsUWoZkBEh Ze37rxJ0c9iy5SLpf9eLSki70eP08/NNrH0/VkH0FMGs2LiJTSDPKnC6W3Va 6UAja9+fVdDLu1cXc1nDf9eXKhgrih80yLuBte/XKvj+KvL8jtR6VkE8VaB/ ZeX6Kqxn7fu3GjJXfoebN+r+ux5Vwzfj2NSnWnWsfT9Xw6Kg+0t7r65lJ2g/ VEPetdBFnZJqWPv+rgbvqOFn7jrW/Hf9qoaUMCu737urWft+r4H9U47OEn5X MWfaLzVw4mhYwYbeVax9/9dA4uDhsdpBlf9d72ogzapcx/V2BWvvoQZGD9P0 8R9fztJpP9WA09K0f035pay9j1qIuOo3r3LHv/+uj7Uw6+Plxr2GJay9l1ro d2KTd+GVIhZAHrWwJzdJGNa3kLX3Uwv1N54tjX+Z/9/1tBZ8axXWp0fnsfae agEdfJTLk3KYhDzq4Mq1roF1U7NZe191cHOM476Ya3//u/7WgWZw9t6Iaxms vbc68B61fJ5aRBpLII86KH3qnjYq7Cdr768Ocpf49Hv5v+T/rtf1oDf7ZW3S 3q+svcd6+DTKoOhmxQfmTR71cFuWctTr6xvW3mc9bN/vWuqy4OV/1/d6cEn0 4XnTB6y913rQX+u9Lq7vCaZHHg3gwM/Sy629AO39NsAYm3WHB7yLhvb3gwZ4 mJ3ecXEHAdp7boB1wd29H3R+B9Hk0QDe5euFMaOToL3vBuh94+j0h72/gSp5 NMK+sBolh8Ep0N57I9T97d/VYlQquJNHI5ztOXdK3wm/ob3/Rjg0dMEM/cl/ 4CZ5NMKa3auH3uqUBe3Xg0ZwjE0fNvVqNjTT+Brh76M5kz/a5UL79aEJxu3e El96Jg8mkUcT+L97NjpYrwDarxdN4LPFOXnVnkK4RB5N0L3E7fGq2iJov340 geuo+SdnLy6BKvJogtoKte0an/5B+/VECiEaRr+m9C+DEeQhhfNLovYoTpdD +/VFCvtGl78vbaiAk+QhBcfbxk71Nyuh/XojhYRNV5OL3aqgkDyksL/rXutY RWuH5NEMW1TO9J19oxoGkkczpMyatuPmxBpovx41Q8tyvBNWUQMHyaMZBvgf eWZ5rBbar0/NEHRxQ6lhzzr4Qx7NcNg5Mt33fR10IA8ZVPq/XCtaXA+9yEMG I/nAfIPGephNHjL4KRr2tdfBBthFHjKIXGhlvcqqEW6Rhwx29OqmfyeyEZLJ QwYqK2OnFvZtAhl5yODeLJ9sjedN0JE85GCsh52Vh0phMnnIoX9iVEl8nBQ2 kYccNnDhcwYOboZw8pDDha4LNNyfNMN78pDD0+v+jdo9ZFBNHnLo8jHs2MRw GViRRwuI3yyLVNOXw0jyaIF0fZO9vbfLYTV5tLSe37CMZ3lyOEUeLTD087Yf p8a1ACOPFhh9O0frxa0WKCKPFuh958ZRS3UFGJCHAp4PDym8uUgBruShgGsn +hh6PFXAEvJQwI8Z30ecUuHwEHkoYOzvQRf2duPwMXko4NOtgxM3T+UwkzwU MGb0loRV6zlsf//g0LpfUrxbKIdmtB4OH+rl9nWJ5rD98zOHR1P6TtT5yiHQ +jhc5xS351sJh+2fxzmMtdh7dJcyjytovRzu1ihdbmnJY/vnew63XLMacbYn j3S6R1tfr9n9UjPy2H6/wOFwNmUgTOOx/X6Cw1UeSwwWe/L4kXw5lP/O9Vrs zeNfmg+HOevGJQ3dyGMNeXMY3LJIUbedRzWaF4+fzTcZhOzm0Yr8eXQs8p5R tZfHXjQ/Hm0jv8/pH8LjCNoPPArpTbIpwTy60wnyOK5n1eyRe3j0pv3B41Iu +JPBTh4DaL487ohwbonx5/EE7RceTw2RfHddzeMNmjePOqsL159ZxOML2j88 ZhwKmJY8g8cvtODWdQmm1mUjeMyl/cRjx+ffEwr78NigaHvw6Dv81MG3Njxq kYcSCsdfZO1T49GOPJSwc+C73f0rOOxHHkqYF6y79mMKh2PIQwmT4hbmTW2d 4zzyUMKjb84uTjzL4VryUEL3q863BmzhcA95KOHE5NwX52dxeJo8lDBodF0q 35fD2+ShhB+flOxYpcUhIw8l3Dbieer9twpIJg8l7Njvx6AbvgooJA8lzPjX N0wwU0Dzz7YFK2Nd1YoctRctoEceyqgmdfHfN7cFJOShjFMD+vedXC8HZ/JQ xgWvhqxYdkQOE8hDGeNnafz+LZaDJ3koY3DQwVcvomWwnjyU8ezB2W9Nhskg hDyUcbVdQ3P9h2YIIw9lXO/asXj1tGa4Rx7K2BCst31/ihRek4cy+odu05kz Uwqp5KGMDkb5C0q/NsE/8lDGxqlHTswY3wSKu20HVEGHAUEul4RGMCIPFZzb eNIlq18jdCYPFcxOw7+drzbAIPJQwY+Gx36EGDTAFPJQwYHjq+wMt9fDEvJQ waLPcqu03DrYRB4qeC/dZWfF2Do4SB6t3+/xesrK27VwiTxU0NxJpXSWVi1E k4cKLus+ruXzyhpIIA8VfDRjbkDe62pIJw8VXPO0Q/Rt62qoIA9V7PjgeseB 66tAmTxU0Tfo5M3LCZVgRh6quHRhxEypRSV0Iw9VXNizWno/pRyAPFTx1nNV vyvrymAGeahiw9ud9xo0S2EFeajiuQE93qWFl8A28lDFOapjBvj3a/1cTx6q WBBcmdMUXwhXyEMV1zU/NT0+pQCekocqpvZX3eCTlgcfyUMVt5btqH2yMBf+ kocqOoZ45lzKz4Ya8uiASTmfv7utzAI18uiAd9WGot73P2BFHh3w53LbxMQv v6EXeXTA/PtKeU4fUmEEeXTA4RunR8S8SgF38uiALz97rb775Bt4k0cHdHr1 XlE8/RMEkEcHnFhx9UFm/wQ4QR4d8N7uPM8mo1dwgzw6YFjvDTfqsh/DC/Jo /fnOPouO9b0CX8ijA/qM2PPxbNBelkseaph5LkGnf+1d1hDUNkA1zJpS/uD9 sBdMizzUMNXTs0Hv9WtmRx5qWNDDd/WnnPesH3mo4YO06afmK76wMeShhsN7 h59p0Upm88hDDW+FHYttMPnJ1pKHGlaX6tq62qSxPeShhsXhR7YsF2Ww0+Sh hkP7nC61Ef9lt8lDDWf6PeF26WUzRh5q6CKateD3wRyWTB5q6ODhPaVUNY8V koc6Hvlf4aJ9O/JZ87y2E1TH+KHi1YHVBUyPPNTRvTTo/PWlRUxCHuq4M7X7 hk/JxcyZPNRRJuz6mQD/2ATyUEeF5JXGqshS5kke6ujluONlkE45W08e6hhz RVe/Yk0FCyEPdQyNk40buryShZGHOiYsu9yVN6pi98hDHbcpza+49bKKvSYP dVSddOJSp+XVLJU8NHDfnWEhnto17B95aCBuCxw47H4NU/Rt89DAnYc1Tzyd VsuMyEMD1995HBtVWcs6k4cG5jzJ6WF0uI4NIg8NNLfKi/rWqZ5NIQ8NDPOY Oy/1ZT1bQh4aOGlV8FWD6Q1sE3looHz8/2asyW1gB8lDA6/1e38wfV0ju0Qe Gljrnpw0Rt7IoslDA413fK+9vLeJJZCHBnYo2jU8TVPK0slDE93XjHT/c0jK KshDEzeu6DzwolYzU27/Bz+cDGkztUOamRl5aGKwz4kAc0Uz60YemqhypKEx er2MAXlo4uCNf32+5snYDPLQxJ55dnWe0+VsBXlo4pOEIVZusXK2jTw00T/G 5HeEuIUdJQ9NnHBk46XBe1vYFfLQRC7lxiTTvBb2lDw0MbykcrADKNhH8tDC 0LvywfNOKdhf8tDC3V4jTt0vVrAa8tDCH4GRqoetOUGNPLTw5m71stHDOcGK PLRw7uydHvxyTuhFHlronmhX/zSEE0aQhxb2+LPs6PIbnOBOHlr4y+neKI23 nOBNHlqotvv5hvNZnBBAHlo4s4PFM2spJ5wgDy10G3K2MtiAF26Qhxb6Lrvp +qsTL7wgDy2crvKwUceVF76QhzaWTlr5ueMEXsglD238tcw8wmYuLzRotHlo I+dXeL5mOS9okYc2+vnrdLu+jhfsyEMbnWs6yPpt5YV+5KGNDkPjlM4H8sIY 8tDG4BN3Nv4J4oV55KGNZ9OqPzcE88Ja8tDGt0ZeSSWtX+8hD208vef22iet P3+aPLTR31+/ZW7r8W6ThzZaCze5tC28wMhDB7Nzeo7s03o+yeShgzmFeb+W tp5vIXnooGPJdsONc3ihOavtgDqYMbskZMl4XtAjDx18VtfbqO9AXpCQhw6m nOz6LacjLziThw4W3R4p2qzPCxPIQwdnXh1wrbaREzzJQwcrrG7hvL+csJ48 dDC/udj83mtOCCEPHYzfuzG05honhJGHDmbOOze3ezAn3CMPHRx2gpuxYCkn vCYPXez6p9e1A8gJqeShi5NStWNiLDnhH3no4s2OFxb/ylcwBX1A1cV5734V zziuYEbkoYvdddTHlbsqWGfy0MUIf98hD/+2sEHkoYuPb+nJbwW2sCnkoYvR 310H5Nm0sCXkoYtNI3tpeD2Vs03koYvXo0P1x02Ss4PkoYu9darcjvyVsUvk oYt7QddtzBoZiyYPPeyuP71pV1MzSyAPPdw8RP38xF3NLJ089DDC9pLSE9Vm VkEeejhM+nP+p2ApUyYPPXSamDc8QkXKzMhDD98M2Bs9MqCJdSMPPTSbqWn4 tr6RAXnoofGgGQ79vRvZDPLQw9fJcfpXMhrYCvLQw75/9eZLJjSwbeTR+vNZ owrfPalnR8lDD39FeZVdsqtnV8hDD6fLZ/Kv9taxDFqPPvrpL9QaUlzLCshH H781mI/pPL6WVdL69LHboWw8EVnDpOSlj9YB+5NDVWqYCr1f6mNMwp+O6FHN dOn6po+PYnpG3nxcxczp+qCP6rqfDAo0q5iY+tJHw2E7PTQ9Kll3moc+BhV8 Pe3uUcGcyFcfywNL7zJZGUOajz4OPbXMb/PpUjaevPVx4a3BSXd7/mMzaV76 mL2+Qf9QfDHzIH99THHtqYAZRWwlzU8f10zWflafVcD8aD/o4+ihb+L+eOez 7TRPfYzb21gkrs1lwbQ/9HHZHIsltVty2DGarz6eGhNzLVCexc7RftHHEy+v ZpfKM9lVmrc+ellKDmnI01kU7R99rM7Qeve48ReLofnro+7We/5Tq36weNpP +vhmUH6+S+F3lkQe+hjceHvhhcdf2E/yMMDA4s2bcs+8Z1nkYYDBkoGzVLa8 ZiXkYYCdWpIm7Lr7nNWShwFOMOC9l328w1po/xlgZIzb+6asQKZOHgb4ftHf EavnXQVD8jDAsaaLJ070fwLW5GGA+8y07+l5vIJO5GGAq64X5fzcmQC9ycMA VQPGyp6f/wSu5GGAlR8hcUf6NxhJHgY4KeDODJ+CFJhMHga4O3XWqvflqTCb PAzw/sC6iAG1v2ExeRhgea1QP63+D/iQhwGuqflftufWLPAnDwOcc7P76mMN 2RBIHq3zGMolHPTLhQPkYYAqX6cskPzLg1DyMEC3wgPFjosK4CJ5GGBmT/nG NSmFEEkeBmjhvGHJu5HF8JA8DHDaud9rlB+WQCx5GOCbzwlPGq1K4R15GGDP RuVXW3aXwVfyMMTBWoqAufnl8Js8DDFggs0dZ3El5JGHIaq//X783ZdKKCcP Q/S7tiF85LYqaCQPQxwYNyP+vEM1KJGHIfbPn9Hl+cdq0CYPQ2w6tHXiPt8a MCUPQ7RjG/5VG9aCPXkYYoOjsUHBw1roSh6GuLM03mTy1DroTx6GOKeo7LLZ vzoYSh6GWNJ12f1ee+phLHkY4v1RD4/tMW+A6eRhiJuclxZztxtgPnkYovG1 qc9PujbCcvIwxDiLDx69ExrBlzwM0Vfj41E2tQm2kochdppmsrxvahMEkYch OlaPmr95rhSOkIchqiVkTN31WwpnyMMQt1Q77xvi3gwR5GGIT97vjrrwtRnu kIch7pKfTjs+WgZPyMMQr7z7eUD3mQwE8jDE3hkl95Uc5fCBPIzwUHPwzUUn 5JBCHkb49aPBCNtmOWSShxFmF46M6+bZAkXkYdT6/JdfdrAWqCYPI8wqCLys bq0AGb3fGGHK+NUpwgYFdCAPI/yhdmVX2HsF6JOHEdbnl9qM0eHQkjyMMHPL zH0J/Th0IA8j/OySNXL8bA57kocRbnXVSP2wlUMX8jDCWz/9+VFhHA4nDyMc phz07tEzDieShxF6ZcauNP3J4SzyMEI/t5neyys5XEgeRvg37X/HL6vz6EUe RjjezDnvjS2PG8jDCLdd+HPjU18ed5KHEY5cP3HFs5E87iMPIzwZ8rZ870we j5OHEU5sGD+pz2Iez5OHETrZZaQ8W83jdfIwwnd+tyxtN/F4nzyMsEV/dMP8 nTw+Jw8jNDGMD964h8c35GGMnvu/Oq4I5vEzeRijrsvPwD4hPP4iD2N0K6/b mLKXxxzyMMajZ436Td3NYyl5GKOm4nOna9t5rCcPYzRz8FdO2cAjRx7GqLes Iu6PF4+a5GGMzUPCjr/24NGYPIzxbGKP5uCpPNqShzH61wbEdEEeHcnDGP/s nP3pbg8e+5KHMS550D3AxILHweRhjJ/Kf7ktUeJxNHkYo8hsmtW5Yg6nkocx Xkkamx77mcO55GGM+68m53x+wOFS8jDGHlPkLPk4h2vIwxh3vJkz7Ms6DjeT hzGu2n1449vJHO4mD2NUKf1063kXDg+RhzGqp81ZE63E4SnyMMY3SSlmq6IV EE4exhjb18UyeIECbpGHMUq/hK9LVFbAI/Iwxp/r9ToOut4CceRhglzZiuji kS2QSB4m2NtLzTDrrxy+k4cJ1k+YeLvrJjlkkIcJFp7UW/BTUw4F5GGC1r30 N1Wek0EleZjgJ8nUZ8GdZSClzzMm6GO1dPqN+82gQh4muNnl8Z+FTs2gSx4m +P7M40XxMVIwJw8T/B2lNjndWQpi8jBBy6gzW15EN0F38jDBhlFR9uu7N4ET eZhgelFhjmFEIyB5mGDqn36vbhs3wnjyMMFxC2KspgQ1wEzyMMEe0vv3dKvq wYM8THB8GJ6Uza2HleRhgoljXYZ0i68DP/IwQYlx8pq7nepgO3mYYMKiFaNO 7auFYPIwwewMnZ5NhTVwjDxaX89zaH7xyBo4Rx4meNF8yYbtl6rhKnmY4Ddc 3OttQxVEkYcJXrli+/DXpCqIIQ9TvDyj4s/Hy5UQTx6meCjSJmpFYQUkkYcp Ss1UVCaGlMNP8jDFbZfKeV9JGWSRhylmPB60WPHiH5SQhyku1i2d0mlaCdSS hykO7TNgkUFuEbTQ52VTPFHY4XjZukJQJw9T9OkcNLRIng+G5GGKAT18bXqF 5IE1eZii5YZjrpU6udCJPEyxyFmlas7xbOhNHqZ4bPDx/HPGWeBKHqYYq57O v+nyB0aShyn6e+Qmx3b6DZPJwxRv+9xT7LRvff8nD1NcuDEhcpVZCiwmD1Pc NMhiYobWN/AhD1Ncu3bzytWyj+BPHqZ4YO/s9Ad/3kIgeZiiy9nKf4c2MzhA Hq3zEHdw+NUnGkLJwxSvb3zey/ZKGFwkD1OMijsXuj/oJIskD1O8N93NZsmt B+wheZjhVbsgu81VL1kseZihzv51Z9davmXvyMMM/Zf1Hndw4Ef2lTzMEDeq jLlx6yv7TR5m6NdgH779STLLIw8zHPxmR0Y++8nKycMMPav/bNjzLo01kocZ Po+uHVj/PoMpkYcZDjtltvDv+79MmzzMcNEIv1GVi7OZKXmYYaDR6tJPmTnM njzMsN9e34Y5s/NYV/Iww4HOOfzyL/msP3mYoWx3Ut3rEYVsKHmY4RiXfQaj HxexseRhhtWyeWVxkhI2nTzM8OIl/V380X9sPnmYoWrUli7Z9aVsOXmY4dvw qrt95pUzX/IwQ0ll4qiEFxVsK3mY4bLo5MmDDlWyIPIwwztBa9cccKliR8jD DE/Xuf94kVPFzpCHGW7uGHf2+YFqFkEerevrUm/q17uG3SEPc+y0hqv8lFzD npCHOeaO0zR8vqGWCeRhjmf88p+IjerYB/IwxxY1/xW1UXUshTzM8XGBaYvV 2HqWSR7meLexJjI4s54VkYc5VrjMLRX5NbBq8jBHTiy/mq7UyGRH2gZojr7Q RzPiWCPrQB7muPG81f0lVk1MnzzMMeXDj/16V5qYJXmY47uhwf9CO0uZA3mY Y8lLn0O5kVLWkzzMMTk8Z9+/Ts3MhTzMcXTk5KUXLjez4eRhjjGO2lol5jI2 kTzMsefUUSnxh2RsFnmYo+tEYY+FXMYWkoc5epldmpC1Ss68yMMcRU8NPmsk y9kG8jDHoEdS2/0uLWwneZjj6/N7304718L2kYc5/p5176V7Yws7Th7meMBW 2HJ0uoKdJw9ztKp/klsWqWDXycMChyy+7rGyWcHuk4cFnhHzS6UOnPCcPCzQ dPba2JHjOeENeVhg2aujV46s5oTP5GGBoxdMfJ18hBN+kYcFep/XU9WP4oQc 8rDAjfyo4/CRE0rJwwLPpX9L8SjghHrysMBB5sGbvBScwJGHBf6x2Lvc05QX NMnDAjvvu/7FtRsvGJOHBcq0v4ilQ3jBljwsMKUGDcMm84IjeVjgwst5x60W 8EJf8mh9vd/7Mras4oXB5GGBbsmWXo/W88Jo8rDAdfIfTe+38cJU8rDA98e9 Dz/bxQtzycMC1X+IvHbv5YWl5GGBBxUl5g4hvLCGPCxwa9H65ReDeWEzebQe f0rXJVV7eGE3eVhgp1+uS2wCeOEQebSeT3Rwi3gzL5wiDwscV3dMX3ktL4ST hyVuOrckJm4JL9wiD0s8P9JntvssXnhEHpaoeWfqqc+jeSGOPCxR++vzuZ0G 8EIieVhiRon1t4UiXvhOHpb4rffqFYFavJBBHpYoWpL2KaSGEwrIwxJvgV/9 ljROqCQPSzT/9dl47ktOkC5r82h9fvqNC90ucYIKeViierbX6OqdnKBLHpY4 9flblYfzOcGcPCxRtbCL7loXThCThyX+7TE2tYchJ3QnD0v8kaveuSBZwZzI wxInXX+9MiRAwZA8LLFozudv4zor2HjysMQ0zcaBLh9b2EzysMRFyturFni3 MA/ysEQsusDeqbWwleRhiVH9nbN3hsuZH3lYou8IJ7UTA+RsO3m0nq+xnpt+ gowFk4cldlDYeKq4ydgx8rBEj2CZ446/zewceVihWWCiZP/yZnaVPKwwMmFB d+cSKYsiDytk0bv3n/KSshjysMLiELWSJ4VNLJ48rNDfJm1x5KImlkQeVjiA U1u97Vcj+0keVth7yMtcnNjIssjDCi0lfZU0XzawEvKwwmMD9i0q6trAasnD Cr+fvFpfdrKetQxu87DCGgepXo+WOqZOHlZYeHXcjJgldcyQPKwQ7NxfRLyr ZdbkYYVn00JPKjrVsk7kYYWOojcBOUE1rDd5WGGd86FlnlnVzJU8rPDqPbWd BwZWs5HkYYXvdo4dt/lYFZtMHlaYbJt8eEh+JZtNHlZopGQwq8K5ki0mDyvc vWRj+iiDCuZDHq3z+Lg+Lj2qjPmThxV2/qqW83FsKQskDys80itt1PC/JewA eVjhrpd5s7z9ilkoeVjjxqwOJeuVithF8rDGyPFbnPYfLWCR5GGNqhdGfv1l kc8ekoc1Ho64HnHsci6LJQ9rXJGyuiSzUw57Rx7W6PhrfO/qm1nsK3lYY71b n+Bqt0z2mzys0Wmey9LRM9NZHnlYI3do05GhU36xcvKwRs+znkquY36wRvKw xrrG2VZnBn9nSuRhjbW+5rrrPD8zbfKwxhhvXF8/LJGZkoc1Rs/7+zpQFM/s ycMaS6dk+l+WP2VdycMa7w2Rr77gdYP1Jw9rDF8UwR08shiGkoc1NjbYTh8f exPGkoc1ZnQd1mdYp2cwnTyssa9OrNaVx/EwnzysMfFEXtWvH4mwnDxa1/PR /zRf8xl8ycMaj0WvmNkz+DtsJQ9rNL5c73Dy2A8IIg9rTF+gdNrtzC84Qh42 KGOB7voX0uEMedigafEWv+UXMyGCPGxw3cU592SfsuAOedig0oXrQY/H58AT 8rDBrCU3K3u+zQWBPGxw9ejz61yH5MMH8rBBbn3H7zcfFkAKedig+QGVXlM6 FkEmedhgre0TmSy0GIrIwwZFvto6wfw/qCYPG1SNjA196VUKMqM2Dxu8X/+3 96avZdCBPGzwR+qK0uC+FaBPHjZ41yc+YuHYSrAkDxscdz7g7I66SnAgDxus nyUY7w2vgp7kYYMrFq7QXzyuGlzIwwYPBWxNUlRUw3DysMEK13tfxoXWwETy sMGN+eXF3ZxqYRZ52OCiO9+cjv+ohYXkYYOHZ+vbr/KrAy/ysEHpxlLPC9r1 sIE8bLDx5BFl66v1sJM8bHDNormrv7s0wD7ysEW+r4t71IcGOE4etuhQkpxy YU4jnCcPW1z79qvb0fxGuE4etliVXnVj3ZomuE8ethhu7NzUr7YJnpOHLa4a WZ721l8Kb8jDFn+7xAw1q5fCZ/Kwxdw1u3ab+zXDL/KwxcvOa1Y+L2mGHPKw xde6z23KPWVQSh62GFa4f9C1bzKoJw9bPOH8IPEbyIEjD1ucGbxq0PJbctAk D1u8Nkm21c2gBYzJwxav13pkH9/QArbkYYuJ0cJgw5QWcCQPW7zSW/NbQi8F 9CUPW9wZMXlOZIgCBpOHLfab3lPjZroCRpOHLVY6mCT8NWm9/ycPW5y2d4N6 1aDW+3/ysEVXfacw5YWt9//kYYtWzmH6Rrtb7//JwxaTgvsMtIpovf8nD1uc P3VWR3Oh9f6fPOzw8NaHHTtktN7/k4cdvvCJ+phd13r/Tx522KKSWXxDh8dw 8rBDp0NLQ90kPN4iDzt8HTZVVOTE4yPysMPQ4grHBWN5jCMPO5xYaRn80J3H RPKww65em2cVLOXxO3nY4YpTMdL6tTxmkIcdfhiWaJq7mccC8rDDzoea/3cz gMdK8rDDvct6nx4XxKO0pG3Bdvg0rig0PphHFfKww05e84cYh/CoSx52GH5r d/DQvTyak4cdKtYY3Rq2i0cxedjhNtfAjrbbeOxOHnZ4/HnesxQ/Hp3Iww49 tCu8l6/kEcmjdT2P2J6UeTyOJw87tJ/46pD9JB5nkocdDird5DZxMI8e5GGH trPGVszpwuNK8mj9utApaoIxj37kYYez5l10dJBzOJR+HcMe36zKdCrI5fA1 +dhjxAilmtBEDsfS/66xx2reM6bfbQ4/kZc9uuh0lbw7yOF0+jhpjysOqelP 9eIwlfzssajoWNiP0RzObztdiT1G+yeL5ok4zCZPe7wVfmTbhxoFLG87XE97 PFmx/X9V4Qr4R772mBF2JnrAeAX4ts3HxR53Fow/cLmiBerI2x6XTah0wv+1 wNa2eQ23x4ELt0636dUCCvK3x0BeuXTkezkEtY1voj0mSaeGvPaUgwb9e409 Rs6ebHW9WgZH2pbrbo9HQn31pbtkYET3p/Zo9ckQPunI4Ezb4RbZIwyNL+tx qhls6PO4Pcp77vjS1aoZItrm7W2PuQfz+OTzUuhMnwftUWPFQi0nKyncaZv/ Rns0POOctuRUE/Sh9z97tI0599JHtwmetHEE2OPkpxGrF+1phEHUuz2WjR+h mF7XAEKbxwF7/LihT+H0pQ0wivabPWYti6v3+1oPH9o8Qlvnqbg+5+3AephC +88eHQf+OjE/vA5S2jwu2uO9u44BE1TqYA7tR3vsfkFt3LVltZDZ5hFpj3ev i3x3vKmBJbQ/7XFOSPOrQvsaKGrziLbHLl32zG7cWg2rab/ao2zS6dOvv1dB dZvHS3u86RDc1cOxCjbR/m09f9M9/J9tlSBr80hoPR90vHjrXAXsov1sj+el ZZrPBpZDB/pzFnscbSS/of+jFA7S/rbHz72/jf3j8w/06c897FF95JzeE/gS OEn73R4v9grRCjleBJb05wb2mL3y+7+X9oVwifa/PW4dGjXM5k4+ONCvm9tj 5/W1P7/3z4Ob1IM99s8Y+V77RQ70pF9Htcerj+YGNQ3Nhmjqwx5vR93ffHTX X3ChPkRo1tn468RdGfCS+hDh5/Bh/vt3pMFw6kOE0as+4FX/n5BAfYhQxyRx hcwnGSZSHyJ83rHL1qqFX+Eb9SHC9xYFV95d+wCzqA8ROv2p018a/AbSqQ8R umybe6shMRYWUh8ifOxoE31h133Ipz5EWFBVU1eVdQy8qA8R3o/4UzJdEs4q qA8Rbl8Fof+b+4htoD5EqDXP88n2qQJroj5EqNrwYPW9de/YTupDhA9ab8fs jyUxZepDhPumCA4hbt/YPupDhA8HYHXGwhSmQ32I8PrJ1dEPVqWy49RH69ez xtdcW/ubmVEfInzyffbpuX5/2HnqQ4SBb65tjHHJYiLqQ4Tf7WfOGvUkm12n PkS44VxPrWt9clk36kOEj5ZK6iNv5bH71IcIV8H012JRARtAfYhw2eeXa/JC C9lz6kOE2XY14wTVYgbUhwj17l/n968vYW+oDxH2GTj6ikHmPzaO+hChxuWd ET1GlbHP1IcI89weZ96PLGczqA8R7nZ2TXFWqWS/qA8RVvktXWL3sJItoD5a ve3GxTUtqGI51IcIZTuz3z1Qq2YrqI/WeYSNjeh7r5qVUh8iHOs24cWKmTVs HfUhwvzfFW8GN9SweupDhJGjamMvnK5l26gPEXZXHVnuP6COcdSHCOVfltQ8 +lrH9lIfIuyYlBwzclU906Q+RPj26ooAI0U9O0p9iFB9RGim7vEGZkx9iLAk ++E7B3EjO0t9iDB2wMA9I+41MlvqQ4R7FhXEzhnYxK5QHyL8ujFv2yyhiTlS HyJUcsrs0mWklN2lPkQ4N0c99NUbKetLfYgx8Z2oTG94M3tKfYjx2xTPLyqx zWww9SFG/5VuQ//XV8ZeUR9ivJCfFHn9moyNpj7EqPn2cImTiZx9pD7EeFHN enL/XXI2lfoQY5fK5Uf+VyxnP6gPMf5Z5/Vr2OQWNpf6EKNGWHySy70W9pf6 EGPYh967vLQVbCn1IcbdgYa7Py5TsGLqQ4w1594nT32hYGuoDzHalWhKN3Xg hBrqQ4zLbt9bPaUHJ2ymPsQ4wa6ppct0TpDT5wkxvvA92Ul5Iyfspj7EeGL+ uPM/T3KCGvUhRusCf/fwR5xwiPoQo6fr+aPzv3GCAfXR+vyHH2LVSjnhFPUh RscikzMXVXjBivpondd7qZWtFS+EUx9izLkRF7SnFy90pD7EOKPnu6lJw3jh FvUhxiMueVg/jRd6UR9ivB8YPlvhyQuPqA8xjrL0z8z35oWB1IcYR0ZrzI/c yAtx1IcYp4S6Xxy1gxdGUB9i3Dc37XHsbl5IpD7EuHj5lXrtYF6YRH2I8W3z lsYBIbzwnfoQY61+5inn1u+7Ux9iDP9gUGWwhxcyqA8xnrtq7PW29fiLqA8x nh9zOnK6Py8UUB+t56tTeOq5Dy94Ux9ivOn8bXHLQl6opD7EOC51xw67Gbyw kfoQ4ym/4WF2I3hB2ubxTYzNy3yiuT68EEB9iJFpKXNvrXlBhfoQ47b7u+Rr OvDCfupDjLYL9nvx5ZygS32I0T7wwJiAZE44QX2IcVfg8p//nnCCOfUhxq6j Nc6NP8MJF6gPMU57I3W7tIkTxNRH6345UaRTPpMTblAfYrS42Vl1UG9O6E59 SFB/aM+4Axqc8ID6kODoXK3a168UzIn6kOD8rT5rD/oo2AvqQ4Injk9e4W+k YEh9SHCLr/TT0Sct7C31IcGkmlSdXLcWNp76kOD+7Wrq26vk7Av1IcF5A0sN V+yXs5nUhwTddCIb79vIWRr1IcGrg/fXLY+SMQ/qQ4L3DbyenBokY7nUhwQ/ 3FVyn/y2ma2kPiQ4w7XHwvMTmlkZ9SHBn/et3x39LGV+1IcEJ/kFFzhPlrIG 6kOCCwrjgq9+aGLbqQ8Jlix9/y1/RBPjqQ8JqhyfN0v7eSMLpj4kGHY4RaVL j0amRX1I0MDYscekCw3sGPUhQe2Cl9sPaDYwE+qjdb3Ro2TVG+rZOepDghu/ BOiczahjdtSHBA9VSVceHVbHrlIfEtw7KcGq+Eot60J9SLB8jN3eZ8q1LIr6 kKC7YYeZxotqWD/qQ4LRWzKCdGKrWQz1IUG+X6nHM+NqNoT6kODOmuJ13b2r WDz1IcHEiDUntrFKNob6kODK+hUZLwwqWRL1IcFTR/hJqm/K2TTqo/V885WM Pi4sYz+pDwk+7TvtQW3TPzaP+midt10TRB0tYVnUhwRPR3Yb4SAuZsuoDwlK 499e2/OgkJVQHxJ09PwY3TSkgK2lPiSYv/On8aOEPFZLfUiwUH3bu6zJuWwL 9SFBK+1w06jkbNbSdj+UIUEbhy8Xxs/KYnuoDwk+X1Ln9+HuH6ZOfUiwx8BN 2nNv/2aHqY/W8w/XfRRxLZUZUh8STPZ4uV35Qgo7TX1IsNazLCX9f9+YNfUh QcmK1XWmGp/YZepDgqJdzll5Je9YJ+rDAefC1szs9wL7PydtUKE= "]]}, "Charting`Private`Tag#1"], Annotation[{ Hue[0.9060679774997897, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxTTMoPSmViYGCQBmIQjQ5mzQSBm/Y75FpfB+74tx/Cf2m/0bj1XPYbpgMm xiDw2b7uy8VLqy68h8r/tC9826S5y/6TPdQYh69/Lqd+NmR2ACs3ZnZ4qLsi xp7nr30aGLA53FixdlLf5SP7wdpncjrstDoUslyB4cAZMOBxUKw5luU+kenA fzDgd8jYsyWo++8rqHpBBzejBxHuTV/sIeYLOxRwXD/el8jscBasX8RhwpO0 x//tftung+0Tc3B4ePPfyuNX9jOCnSfhIHBTOXHXJYYDs8HmSTrM2FQY9E6B 6YAp2DxphyJ/9pIZ3M/2nwebJ+OQnlpikrH2m30m2Dw5hxappKns1cwOEPMU HA5pfvNcFPTT/hxYvYLDAtuXihd57++HmK/o0GQpvGtaIeOBDLB+JYeIoJqr D2YzQu1TdnByvcFTwfBwPyROVBym2kzbuWjfD3uI/SoOT6YJbneoY3YAAJpK wYM= "]]}, "Charting`Private`Tag#2"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10.400000000000004`}, {-2.36544, 2.4366468717806686`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <| "CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10.400000000000004`}, {-2.36544, 2.4366468717806686`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{}, {}, Annotation[{ Hue[0.67, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxd22VcFO3XwPEZQrq72V1U7AbEOMfuFjHBDkBFVGxBRbD1r5gYiIWFgYGK XCMGqJigiCDSJd0su+wDh/vVs2/uDx/Y2bnO9/rN7niDaPHa6cuUOI4rUea4 tv/+/8c246gx2VuDQLrTK3bDiUjW/nUoHDvt0bv6fzEsxnbvv2kxF8G3tOHQ ce/4/75/FXjn20eKDiayc2fbHjchPTF6mevNz+wZ/XwUzBt2L2PJou+sdFrb ER7AkQtxM4q8f/z3/Ecw0Vde9mH9L6aZesV3iOZTqDLsNfPO5nRGhzv7DJxK wg732JrJHOcfja9zjAWjLZmqjS+y2FM6fhx8ty37/cElh7U9O/WKANIdk7Yu jM5l/+j1XsH0pHiPA93yWT96vIbmUc5TLC8X/Pf6b8DO1WtpjlERe13X9gpv wUMjVPfxnmKmReeTABeWKiyXVZawGTSARFC2Pv3s7ZxSFkbn9x52fVmx+xYr Y7lb2w74AS4nG28rFFWwbnS+SbDti90RR6xk69tOz/cTWB307eZRVsle0Pl/ Bne1DxMDzlQxnhS+gnvvohL/YdXsGq3nK9ypPjC8d1E1G5fd9gLfINxDOfXU oRpWRuv7BvftYjac6lnL/hfftoDvIGsM72f1uZYNoPUmw8nGmC0G3nUsjQaU DC+MV8iXqdazHbT+FBhZmJGgeqGeidpOx/YHnB3s7ZzZp4G9pXn8AJUeSfyf 1w1s1fK2x08YsXmxU+X0RqZD80mFqIzV2OFvI3swpu0EU+G8Q/9inZVNzI3m 9QvUrtvOrS9rYk0E+Atqqz7a3vOVsgs0vzTY5mfS2bFSyobRBvgNaU/V30/z aWb5NM/fsNkpJd46v5ntJ9B08Bh4Y/DWuTLWg+abAcqfgz7MS5Kxb0ltjwwY 4quxJtpVzjbSvP+A31DJmfXX5MyibbnGmcAHxnY9qt3CXtL8M2HHuNlbm9a2 sEVth5v/F6Ral6dc/9LC2hvJgi2ZRUX7uynYTFpPFsD0sOYzexTsOvlkwdmr 4Y8TUxWskdaXBa4GczzVjDlhPHllQ/37L+d7u3LCeVpvNpS/jl88z4MTyskv G6523wp7AjkBaf050D9/D3c1nBOOk2cO+O93jn4Wxwl5dLgcOBTe95rwmxOc yDcXjhYmLX1cywn7aD65YBMZ9CpUmxd+E08urNJZkjRPzAvdaV55sM979i81 J17YSf55ELb62NZTY3jhK80vD3baxx1QdecFMe2HfLj51VMyYykvbKB55kPh Q+nlHWt54R3tj3w4MXXyjT2becGc5lsAyg8CzJYG8IIX7ZcCyHAdbGkbxAux NO8CaB6bYvkgmBd0af8UwrO1kxKtQ3hhIc2/EMb4+pgs2ssLD2k/FULBrycu O3fxggp5FMGnaT53NmzjhVnkUQQHT2/qOWo9L0SSRxG8dXAXKlfygpQ8isDh iPz65vm8MJE8imF+6E2vzEm8cJE8isGl6vFPyRBeqCSPYjiav7BpfFdeGE4e JWB09KBklgkvhJJHCTTorCsa08IJBeRRApP3uNlI8jnBhTz+Qefq7mkl7znh QPsFCKboum6IuMMJGeTxDx6oXAuZdJgTepJHKcB4zbIKb04IJI9SmBTAxx0e ywnfyaMUhvqfn9FNwgkO5FEGcb9jD55rUDB/8iiDXRbuPyuvKlgieZTBifWL 7i2ZrGCW5FEOW66HPJPXtDAf8iiHC98363842cLiyKMc4rQPjEnp18L0yaMC jg0av9Lxs5wtJo8KGLdGrer7Ujl7RB4VcPv3qOSsBhlTJo9K+PjQ0c8zRMba 91clXFf5FD7fSPZf/5UwJPVUeEFYM2vfb5UQ9dzXTlvUzG6QVyUsUWoZkBEh Ze37rxJ0c9iy5SLpf9eLSki70eP08/NNrH0/VkH0FMGs2LiJTSDPKnC6W3Va 6UAja9+fVdDLu1cXc1nDf9eXKhgrih80yLuBte/XKvj+KvL8jtR6VkE8VaB/ ZeX6Kqxn7fu3GjJXfoebN+r+ux5Vwzfj2NSnWnWsfT9Xw6Kg+0t7r65lJ2g/ VEPetdBFnZJqWPv+rgbvqOFn7jrW/Hf9qoaUMCu737urWft+r4H9U47OEn5X MWfaLzVw4mhYwYbeVax9/9dA4uDhsdpBlf9d72ogzapcx/V2BWvvoQZGD9P0 8R9fztJpP9WA09K0f035pay9j1qIuOo3r3LHv/+uj7Uw6+Plxr2GJay9l1ro d2KTd+GVIhZAHrWwJzdJGNa3kLX3Uwv1N54tjX+Z/9/1tBZ8axXWp0fnsfae agEdfJTLk3KYhDzq4Mq1roF1U7NZe191cHOM476Ya3//u/7WgWZw9t6Iaxms vbc68B61fJ5aRBpLII86KH3qnjYq7Cdr768Ocpf49Hv5v+T/rtf1oDf7ZW3S 3q+svcd6+DTKoOhmxQfmTR71cFuWctTr6xvW3mc9bN/vWuqy4OV/1/d6cEn0 4XnTB6y913rQX+u9Lq7vCaZHHg3gwM/Sy629AO39NsAYm3WHB7yLhvb3gwZ4 mJ3ecXEHAdp7boB1wd29H3R+B9Hk0QDe5euFMaOToL3vBuh94+j0h72/gSp5 NMK+sBolh8Ep0N57I9T97d/VYlQquJNHI5ztOXdK3wm/ob3/Rjg0dMEM/cl/ 4CZ5NMKa3auH3uqUBe3Xg0ZwjE0fNvVqNjTT+Brh76M5kz/a5UL79aEJxu3e El96Jg8mkUcT+L97NjpYrwDarxdN4LPFOXnVnkK4RB5N0L3E7fGq2iJov340 geuo+SdnLy6BKvJogtoKte0an/5B+/VECiEaRr+m9C+DEeQhhfNLovYoTpdD +/VFCvtGl78vbaiAk+QhBcfbxk71Nyuh/XojhYRNV5OL3aqgkDyksL/rXutY RWuH5NEMW1TO9J19oxoGkkczpMyatuPmxBpovx41Q8tyvBNWUQMHyaMZBvgf eWZ5rBbar0/NEHRxQ6lhzzr4Qx7NcNg5Mt33fR10IA8ZVPq/XCtaXA+9yEMG I/nAfIPGephNHjL4KRr2tdfBBthFHjKIXGhlvcqqEW6Rhwx29OqmfyeyEZLJ QwYqK2OnFvZtAhl5yODeLJ9sjedN0JE85GCsh52Vh0phMnnIoX9iVEl8nBQ2 kYccNnDhcwYOboZw8pDDha4LNNyfNMN78pDD0+v+jdo9ZFBNHnLo8jHs2MRw GViRRwuI3yyLVNOXw0jyaIF0fZO9vbfLYTV5tLSe37CMZ3lyOEUeLTD087Yf p8a1ACOPFhh9O0frxa0WKCKPFuh958ZRS3UFGJCHAp4PDym8uUgBruShgGsn +hh6PFXAEvJQwI8Z30ecUuHwEHkoYOzvQRf2duPwMXko4NOtgxM3T+UwkzwU MGb0loRV6zlsf//g0LpfUrxbKIdmtB4OH+rl9nWJ5rD98zOHR1P6TtT5yiHQ +jhc5xS351sJh+2fxzmMtdh7dJcyjytovRzu1ihdbmnJY/vnew63XLMacbYn j3S6R1tfr9n9UjPy2H6/wOFwNmUgTOOx/X6Cw1UeSwwWe/L4kXw5lP/O9Vrs zeNfmg+HOevGJQ3dyGMNeXMY3LJIUbedRzWaF4+fzTcZhOzm0Yr8eXQs8p5R tZfHXjQ/Hm0jv8/pH8LjCNoPPArpTbIpwTy60wnyOK5n1eyRe3j0pv3B41Iu +JPBTh4DaL487ohwbonx5/EE7RceTw2RfHddzeMNmjePOqsL159ZxOML2j88 ZhwKmJY8g8cvtODWdQmm1mUjeMyl/cRjx+ffEwr78NigaHvw6Dv81MG3Njxq kYcSCsdfZO1T49GOPJSwc+C73f0rOOxHHkqYF6y79mMKh2PIQwmT4hbmTW2d 4zzyUMKjb84uTjzL4VryUEL3q863BmzhcA95KOHE5NwX52dxeJo8lDBodF0q 35fD2+ShhB+flOxYpcUhIw8l3Dbieer9twpIJg8l7Njvx6AbvgooJA8lzPjX N0wwU0Dzz7YFK2Nd1YoctRctoEceyqgmdfHfN7cFJOShjFMD+vedXC8HZ/JQ xgWvhqxYdkQOE8hDGeNnafz+LZaDJ3koY3DQwVcvomWwnjyU8ezB2W9Nhskg hDyUcbVdQ3P9h2YIIw9lXO/asXj1tGa4Rx7K2BCst31/ihRek4cy+odu05kz Uwqp5KGMDkb5C0q/NsE/8lDGxqlHTswY3wSKu20HVEGHAUEul4RGMCIPFZzb eNIlq18jdCYPFcxOw7+drzbAIPJQwY+Gx36EGDTAFPJQwYHjq+wMt9fDEvJQ waLPcqu03DrYRB4qeC/dZWfF2Do4SB6t3+/xesrK27VwiTxU0NxJpXSWVi1E k4cKLus+ruXzyhpIIA8VfDRjbkDe62pIJw8VXPO0Q/Rt62qoIA9V7PjgeseB 66tAmTxU0Tfo5M3LCZVgRh6quHRhxEypRSV0Iw9VXNizWno/pRyAPFTx1nNV vyvrymAGeahiw9ud9xo0S2EFeajiuQE93qWFl8A28lDFOapjBvj3a/1cTx6q WBBcmdMUXwhXyEMV1zU/NT0+pQCekocqpvZX3eCTlgcfyUMVt5btqH2yMBf+ kocqOoZ45lzKz4Ya8uiASTmfv7utzAI18uiAd9WGot73P2BFHh3w53LbxMQv v6EXeXTA/PtKeU4fUmEEeXTA4RunR8S8SgF38uiALz97rb775Bt4k0cHdHr1 XlE8/RMEkEcHnFhx9UFm/wQ4QR4d8N7uPM8mo1dwgzw6YFjvDTfqsh/DC/Jo /fnOPouO9b0CX8ijA/qM2PPxbNBelkseaph5LkGnf+1d1hDUNkA1zJpS/uD9 sBdMizzUMNXTs0Hv9WtmRx5qWNDDd/WnnPesH3mo4YO06afmK76wMeShhsN7 h59p0Upm88hDDW+FHYttMPnJ1pKHGlaX6tq62qSxPeShhsXhR7YsF2Ww0+Sh hkP7nC61Ef9lt8lDDWf6PeF26WUzRh5q6CKateD3wRyWTB5q6ODhPaVUNY8V koc6Hvlf4aJ9O/JZ87y2E1TH+KHi1YHVBUyPPNTRvTTo/PWlRUxCHuq4M7X7 hk/JxcyZPNRRJuz6mQD/2ATyUEeF5JXGqshS5kke6ujluONlkE45W08e6hhz RVe/Yk0FCyEPdQyNk40buryShZGHOiYsu9yVN6pi98hDHbcpza+49bKKvSYP dVSddOJSp+XVLJU8NHDfnWEhnto17B95aCBuCxw47H4NU/Rt89DAnYc1Tzyd VsuMyEMD1995HBtVWcs6k4cG5jzJ6WF0uI4NIg8NNLfKi/rWqZ5NIQ8NDPOY Oy/1ZT1bQh4aOGlV8FWD6Q1sE3looHz8/2asyW1gB8lDA6/1e38wfV0ju0Qe Gljrnpw0Rt7IoslDA413fK+9vLeJJZCHBnYo2jU8TVPK0slDE93XjHT/c0jK KshDEzeu6DzwolYzU27/Bz+cDGkztUOamRl5aGKwz4kAc0Uz60YemqhypKEx er2MAXlo4uCNf32+5snYDPLQxJ55dnWe0+VsBXlo4pOEIVZusXK2jTw00T/G 5HeEuIUdJQ9NnHBk46XBe1vYFfLQRC7lxiTTvBb2lDw0MbykcrADKNhH8tDC 0LvywfNOKdhf8tDC3V4jTt0vVrAa8tDCH4GRqoetOUGNPLTw5m71stHDOcGK PLRw7uydHvxyTuhFHlronmhX/zSEE0aQhxb2+LPs6PIbnOBOHlr4y+neKI23 nOBNHlqotvv5hvNZnBBAHlo4s4PFM2spJ5wgDy10G3K2MtiAF26Qhxb6Lrvp +qsTL7wgDy2crvKwUceVF76QhzaWTlr5ueMEXsglD238tcw8wmYuLzRotHlo I+dXeL5mOS9okYc2+vnrdLu+jhfsyEMbnWs6yPpt5YV+5KGNDkPjlM4H8sIY 8tDG4BN3Nv4J4oV55KGNZ9OqPzcE88Ja8tDGt0ZeSSWtX+8hD208vef22iet P3+aPLTR31+/ZW7r8W6ThzZaCze5tC28wMhDB7Nzeo7s03o+yeShgzmFeb+W tp5vIXnooGPJdsONc3ihOavtgDqYMbskZMl4XtAjDx18VtfbqO9AXpCQhw6m nOz6LacjLziThw4W3R4p2qzPCxPIQwdnXh1wrbaREzzJQwcrrG7hvL+csJ48 dDC/udj83mtOCCEPHYzfuzG05honhJGHDmbOOze3ezAn3CMPHRx2gpuxYCkn vCYPXez6p9e1A8gJqeShi5NStWNiLDnhH3no4s2OFxb/ylcwBX1A1cV5734V zziuYEbkoYvdddTHlbsqWGfy0MUIf98hD/+2sEHkoYuPb+nJbwW2sCnkoYvR 310H5Nm0sCXkoYtNI3tpeD2Vs03koYvXo0P1x02Ss4PkoYu9darcjvyVsUvk oYt7QddtzBoZiyYPPeyuP71pV1MzSyAPPdw8RP38xF3NLJ089DDC9pLSE9Vm VkEeejhM+nP+p2ApUyYPPXSamDc8QkXKzMhDD98M2Bs9MqCJdSMPPTSbqWn4 tr6RAXnoofGgGQ79vRvZDPLQw9fJcfpXMhrYCvLQw75/9eZLJjSwbeTR+vNZ owrfPalnR8lDD39FeZVdsqtnV8hDD6fLZ/Kv9taxDFqPPvrpL9QaUlzLCshH H781mI/pPL6WVdL69LHboWw8EVnDpOSlj9YB+5NDVWqYCr1f6mNMwp+O6FHN dOn6po+PYnpG3nxcxczp+qCP6rqfDAo0q5iY+tJHw2E7PTQ9Kll3moc+BhV8 Pe3uUcGcyFcfywNL7zJZGUOajz4OPbXMb/PpUjaevPVx4a3BSXd7/mMzaV76 mL2+Qf9QfDHzIH99THHtqYAZRWwlzU8f10zWflafVcD8aD/o4+ihb+L+eOez 7TRPfYzb21gkrs1lwbQ/9HHZHIsltVty2DGarz6eGhNzLVCexc7RftHHEy+v ZpfKM9lVmrc+ellKDmnI01kU7R99rM7Qeve48ReLofnro+7We/5Tq36weNpP +vhmUH6+S+F3lkQe+hjceHvhhcdf2E/yMMDA4s2bcs+8Z1nkYYDBkoGzVLa8 ZiXkYYCdWpIm7Lr7nNWShwFOMOC9l328w1po/xlgZIzb+6asQKZOHgb4ftHf EavnXQVD8jDAsaaLJ070fwLW5GGA+8y07+l5vIJO5GGAq64X5fzcmQC9ycMA VQPGyp6f/wSu5GGAlR8hcUf6NxhJHgY4KeDODJ+CFJhMHga4O3XWqvflqTCb PAzw/sC6iAG1v2ExeRhgea1QP63+D/iQhwGuqflftufWLPAnDwOcc7P76mMN 2RBIHq3zGMolHPTLhQPkYYAqX6cskPzLg1DyMEC3wgPFjosK4CJ5GGBmT/nG NSmFEEkeBmjhvGHJu5HF8JA8DHDaud9rlB+WQCx5GOCbzwlPGq1K4R15GGDP RuVXW3aXwVfyMMTBWoqAufnl8Js8DDFggs0dZ3El5JGHIaq//X783ZdKKCcP Q/S7tiF85LYqaCQPQxwYNyP+vEM1KJGHIfbPn9Hl+cdq0CYPQ2w6tHXiPt8a MCUPQ7RjG/5VG9aCPXkYYoOjsUHBw1roSh6GuLM03mTy1DroTx6GOKeo7LLZ vzoYSh6GWNJ12f1ee+phLHkY4v1RD4/tMW+A6eRhiJuclxZztxtgPnkYovG1 qc9PujbCcvIwxDiLDx69ExrBlzwM0Vfj41E2tQm2kochdppmsrxvahMEkYch OlaPmr95rhSOkIchqiVkTN31WwpnyMMQt1Q77xvi3gwR5GGIT97vjrrwtRnu kIch7pKfTjs+WgZPyMMQr7z7eUD3mQwE8jDE3hkl95Uc5fCBPIzwUHPwzUUn 5JBCHkb49aPBCNtmOWSShxFmF46M6+bZAkXkYdT6/JdfdrAWqCYPI8wqCLys bq0AGb3fGGHK+NUpwgYFdCAPI/yhdmVX2HsF6JOHEdbnl9qM0eHQkjyMMHPL zH0J/Th0IA8j/OySNXL8bA57kocRbnXVSP2wlUMX8jDCWz/9+VFhHA4nDyMc phz07tEzDieShxF6ZcauNP3J4SzyMEI/t5neyys5XEgeRvg37X/HL6vz6EUe RjjezDnvjS2PG8jDCLdd+HPjU18ed5KHEY5cP3HFs5E87iMPIzwZ8rZ870we j5OHEU5sGD+pz2Iez5OHETrZZaQ8W83jdfIwwnd+tyxtN/F4nzyMsEV/dMP8 nTw+Jw8jNDGMD964h8c35GGMnvu/Oq4I5vEzeRijrsvPwD4hPP4iD2N0K6/b mLKXxxzyMMajZ436Td3NYyl5GKOm4nOna9t5rCcPYzRz8FdO2cAjRx7GqLes Iu6PF4+a5GGMzUPCjr/24NGYPIzxbGKP5uCpPNqShzH61wbEdEEeHcnDGP/s nP3pbg8e+5KHMS550D3AxILHweRhjJ/Kf7ktUeJxNHkYo8hsmtW5Yg6nkocx Xkkamx77mcO55GGM+68m53x+wOFS8jDGHlPkLPk4h2vIwxh3vJkz7Ms6DjeT hzGu2n1449vJHO4mD2NUKf1063kXDg+RhzGqp81ZE63E4SnyMMY3SSlmq6IV EE4exhjb18UyeIECbpGHMUq/hK9LVFbAI/Iwxp/r9ToOut4CceRhglzZiuji kS2QSB4m2NtLzTDrrxy+k4cJ1k+YeLvrJjlkkIcJFp7UW/BTUw4F5GGC1r30 N1Wek0EleZjgJ8nUZ8GdZSClzzMm6GO1dPqN+82gQh4muNnl8Z+FTs2gSx4m +P7M40XxMVIwJw8T/B2lNjndWQpi8jBBy6gzW15EN0F38jDBhlFR9uu7N4ET eZhgelFhjmFEIyB5mGDqn36vbhs3wnjyMMFxC2KspgQ1wEzyMMEe0vv3dKvq wYM8THB8GJ6Uza2HleRhgoljXYZ0i68DP/IwQYlx8pq7nepgO3mYYMKiFaNO 7auFYPIwwewMnZ5NhTVwjDxaX89zaH7xyBo4Rx4meNF8yYbtl6rhKnmY4Ddc 3OttQxVEkYcJXrli+/DXpCqIIQ9TvDyj4s/Hy5UQTx6meCjSJmpFYQUkkYcp Ss1UVCaGlMNP8jDFbZfKeV9JGWSRhylmPB60WPHiH5SQhyku1i2d0mlaCdSS hykO7TNgkUFuEbTQ52VTPFHY4XjZukJQJw9T9OkcNLRIng+G5GGKAT18bXqF 5IE1eZii5YZjrpU6udCJPEyxyFmlas7xbOhNHqZ4bPDx/HPGWeBKHqYYq57O v+nyB0aShyn6e+Qmx3b6DZPJwxRv+9xT7LRvff8nD1NcuDEhcpVZCiwmD1Pc NMhiYobWN/AhD1Ncu3bzytWyj+BPHqZ4YO/s9Ad/3kIgeZiiy9nKf4c2MzhA Hq3zEHdw+NUnGkLJwxSvb3zey/ZKGFwkD1OMijsXuj/oJIskD1O8N93NZsmt B+wheZjhVbsgu81VL1kseZihzv51Z9davmXvyMMM/Zf1Hndw4Ef2lTzMEDeq jLlx6yv7TR5m6NdgH779STLLIw8zHPxmR0Y++8nKycMMPav/bNjzLo01kocZ Po+uHVj/PoMpkYcZDjtltvDv+79MmzzMcNEIv1GVi7OZKXmYYaDR6tJPmTnM njzMsN9e34Y5s/NYV/Iww4HOOfzyL/msP3mYoWx3Ut3rEYVsKHmY4RiXfQaj HxexseRhhtWyeWVxkhI2nTzM8OIl/V380X9sPnmYoWrUli7Z9aVsOXmY4dvw qrt95pUzX/IwQ0ll4qiEFxVsK3mY4bLo5MmDDlWyIPIwwztBa9cccKliR8jD DE/Xuf94kVPFzpCHGW7uGHf2+YFqFkEerevrUm/q17uG3SEPc+y0hqv8lFzD npCHOeaO0zR8vqGWCeRhjmf88p+IjerYB/IwxxY1/xW1UXUshTzM8XGBaYvV 2HqWSR7meLexJjI4s54VkYc5VrjMLRX5NbBq8jBHTiy/mq7UyGRH2gZojr7Q RzPiWCPrQB7muPG81f0lVk1MnzzMMeXDj/16V5qYJXmY47uhwf9CO0uZA3mY Y8lLn0O5kVLWkzzMMTk8Z9+/Ts3MhTzMcXTk5KUXLjez4eRhjjGO2lol5jI2 kTzMsefUUSnxh2RsFnmYo+tEYY+FXMYWkoc5epldmpC1Ss68yMMcRU8NPmsk y9kG8jDHoEdS2/0uLWwneZjj6/N7304718L2kYc5/p5176V7Yws7Th7meMBW 2HJ0uoKdJw9ztKp/klsWqWDXycMChyy+7rGyWcHuk4cFnhHzS6UOnPCcPCzQ dPba2JHjOeENeVhg2aujV46s5oTP5GGBoxdMfJ18hBN+kYcFep/XU9WP4oQc 8rDAjfyo4/CRE0rJwwLPpX9L8SjghHrysMBB5sGbvBScwJGHBf6x2Lvc05QX NMnDAjvvu/7FtRsvGJOHBcq0v4ilQ3jBljwsMKUGDcMm84IjeVjgwst5x60W 8EJf8mh9vd/7Mras4oXB5GGBbsmWXo/W88Jo8rDAdfIfTe+38cJU8rDA98e9 Dz/bxQtzycMC1X+IvHbv5YWl5GGBBxUl5g4hvLCGPCxwa9H65ReDeWEzebQe f0rXJVV7eGE3eVhgp1+uS2wCeOEQebSeT3Rwi3gzL5wiDwscV3dMX3ktL4ST hyVuOrckJm4JL9wiD0s8P9JntvssXnhEHpaoeWfqqc+jeSGOPCxR++vzuZ0G 8EIieVhiRon1t4UiXvhOHpb4rffqFYFavJBBHpYoWpL2KaSGEwrIwxJvgV/9 ljROqCQPSzT/9dl47ktOkC5r82h9fvqNC90ucYIKeViierbX6OqdnKBLHpY4 9flblYfzOcGcPCxRtbCL7loXThCThyX+7TE2tYchJ3QnD0v8kaveuSBZwZzI wxInXX+9MiRAwZA8LLFozudv4zor2HjysMQ0zcaBLh9b2EzysMRFyturFni3 MA/ysEQsusDeqbWwleRhiVH9nbN3hsuZH3lYou8IJ7UTA+RsO3m0nq+xnpt+ gowFk4cldlDYeKq4ydgx8rBEj2CZ446/zewceVihWWCiZP/yZnaVPKwwMmFB d+cSKYsiDytk0bv3n/KSshjysMLiELWSJ4VNLJ48rNDfJm1x5KImlkQeVjiA U1u97Vcj+0keVth7yMtcnNjIssjDCi0lfZU0XzawEvKwwmMD9i0q6trAasnD Cr+fvFpfdrKetQxu87DCGgepXo+WOqZOHlZYeHXcjJgldcyQPKwQ7NxfRLyr ZdbkYYVn00JPKjrVsk7kYYWOojcBOUE1rDd5WGGd86FlnlnVzJU8rPDqPbWd BwZWs5HkYYXvdo4dt/lYFZtMHlaYbJt8eEh+JZtNHlZopGQwq8K5ki0mDyvc vWRj+iiDCuZDHq3z+Lg+Lj2qjPmThxV2/qqW83FsKQskDys80itt1PC/JewA eVjhrpd5s7z9ilkoeVjjxqwOJeuVithF8rDGyPFbnPYfLWCR5GGNqhdGfv1l kc8ekoc1Ho64HnHsci6LJQ9rXJGyuiSzUw57Rx7W6PhrfO/qm1nsK3lYY71b n+Bqt0z2mzys0Wmey9LRM9NZHnlYI3do05GhU36xcvKwRs+znkquY36wRvKw xrrG2VZnBn9nSuRhjbW+5rrrPD8zbfKwxhhvXF8/LJGZkoc1Rs/7+zpQFM/s ycMaS6dk+l+WP2VdycMa7w2Rr77gdYP1Jw9rDF8UwR08shiGkoc1NjbYTh8f exPGkoc1ZnQd1mdYp2cwnTyssa9OrNaVx/EwnzysMfFEXtWvH4mwnDxa1/PR /zRf8xl8ycMaj0WvmNkz+DtsJQ9rNL5c73Dy2A8IIg9rTF+gdNrtzC84Qh42 KGOB7voX0uEMedigafEWv+UXMyGCPGxw3cU592SfsuAOedig0oXrQY/H58AT 8rDBrCU3K3u+zQWBPGxw9ejz61yH5MMH8rBBbn3H7zcfFkAKedig+QGVXlM6 FkEmedhgre0TmSy0GIrIwwZFvto6wfw/qCYPG1SNjA196VUKMqM2Dxu8X/+3 96avZdCBPGzwR+qK0uC+FaBPHjZ41yc+YuHYSrAkDxscdz7g7I66SnAgDxus nyUY7w2vgp7kYYMrFq7QXzyuGlzIwwYPBWxNUlRUw3DysMEK13tfxoXWwETy sMGN+eXF3ZxqYRZ52OCiO9+cjv+ohYXkYYOHZ+vbr/KrAy/ysEHpxlLPC9r1 sIE8bLDx5BFl66v1sJM8bHDNormrv7s0wD7ysEW+r4t71IcGOE4etuhQkpxy YU4jnCcPW1z79qvb0fxGuE4etliVXnVj3ZomuE8ethhu7NzUr7YJnpOHLa4a WZ721l8Kb8jDFn+7xAw1q5fCZ/Kwxdw1u3ab+zXDL/KwxcvOa1Y+L2mGHPKw xde6z23KPWVQSh62GFa4f9C1bzKoJw9bPOH8IPEbyIEjD1ucGbxq0PJbctAk D1u8Nkm21c2gBYzJwxav13pkH9/QArbkYYuJ0cJgw5QWcCQPW7zSW/NbQi8F 9CUPW9wZMXlOZIgCBpOHLfab3lPjZroCRpOHLVY6mCT8NWm9/ycPW5y2d4N6 1aDW+3/ysEVXfacw5YWt9//kYYtWzmH6Rrtb7//JwxaTgvsMtIpovf8nD1uc P3VWR3Oh9f6fPOzw8NaHHTtktN7/k4cdvvCJ+phd13r/Tx522KKSWXxDh8dw 8rBDp0NLQ90kPN4iDzt8HTZVVOTE4yPysMPQ4grHBWN5jCMPO5xYaRn80J3H RPKww65em2cVLOXxO3nY4YpTMdL6tTxmkIcdfhiWaJq7mccC8rDDzoea/3cz gMdK8rDDvct6nx4XxKO0pG3Bdvg0rig0PphHFfKww05e84cYh/CoSx52GH5r d/DQvTyak4cdKtYY3Rq2i0cxedjhNtfAjrbbeOxOHnZ4/HnesxQ/Hp3Iww49 tCu8l6/kEcmjdT2P2J6UeTyOJw87tJ/46pD9JB5nkocdDird5DZxMI8e5GGH trPGVszpwuNK8mj9utApaoIxj37kYYez5l10dJBzOJR+HcMe36zKdCrI5fA1 +dhjxAilmtBEDsfS/66xx2reM6bfbQ4/kZc9uuh0lbw7yOF0+jhpjysOqelP 9eIwlfzssajoWNiP0RzObztdiT1G+yeL5ok4zCZPe7wVfmTbhxoFLG87XE97 PFmx/X9V4Qr4R772mBF2JnrAeAX4ts3HxR53Fow/cLmiBerI2x6XTah0wv+1 wNa2eQ23x4ELt0636dUCCvK3x0BeuXTkezkEtY1voj0mSaeGvPaUgwb9e409 Rs6ebHW9WgZH2pbrbo9HQn31pbtkYET3p/Zo9ckQPunI4Ezb4RbZIwyNL+tx qhls6PO4Pcp77vjS1aoZItrm7W2PuQfz+OTzUuhMnwftUWPFQi0nKyncaZv/ Rns0POOctuRUE/Sh9z97tI0599JHtwmetHEE2OPkpxGrF+1phEHUuz2WjR+h mF7XAEKbxwF7/LihT+H0pQ0wivabPWYti6v3+1oPH9o8Qlvnqbg+5+3AephC +88eHQf+OjE/vA5S2jwu2uO9u44BE1TqYA7tR3vsfkFt3LVltZDZ5hFpj3ev i3x3vKmBJbQ/7XFOSPOrQvsaKGrziLbHLl32zG7cWg2rab/ao2zS6dOvv1dB dZvHS3u86RDc1cOxCjbR/m09f9M9/J9tlSBr80hoPR90vHjrXAXsov1sj+el ZZrPBpZDB/pzFnscbSS/of+jFA7S/rbHz72/jf3j8w/06c897FF95JzeE/gS OEn73R4v9grRCjleBJb05wb2mL3y+7+X9oVwifa/PW4dGjXM5k4+ONCvm9tj 5/W1P7/3z4Ob1IM99s8Y+V77RQ70pF9Htcerj+YGNQ3Nhmjqwx5vR93ffHTX X3ChPkRo1tn468RdGfCS+hDh5/Bh/vt3pMFw6kOE0as+4FX/n5BAfYhQxyRx hcwnGSZSHyJ83rHL1qqFX+Eb9SHC9xYFV95d+wCzqA8ROv2p018a/AbSqQ8R umybe6shMRYWUh8ifOxoE31h133Ipz5EWFBVU1eVdQy8qA8R3o/4UzJdEs4q qA8Rbl8Fof+b+4htoD5EqDXP88n2qQJroj5EqNrwYPW9de/YTupDhA9ab8fs jyUxZepDhPumCA4hbt/YPupDhA8HYHXGwhSmQ32I8PrJ1dEPVqWy49RH69ez xtdcW/ubmVEfInzyffbpuX5/2HnqQ4SBb65tjHHJYiLqQ4Tf7WfOGvUkm12n PkS44VxPrWt9clk36kOEj5ZK6iNv5bH71IcIV8H012JRARtAfYhw2eeXa/JC C9lz6kOE2XY14wTVYgbUhwj17l/n968vYW+oDxH2GTj6ikHmPzaO+hChxuWd ET1GlbHP1IcI89weZ96PLGczqA8R7nZ2TXFWqWS/qA8RVvktXWL3sJItoD5a ve3GxTUtqGI51IcIZTuz3z1Qq2YrqI/WeYSNjeh7r5qVUh8iHOs24cWKmTVs HfUhwvzfFW8GN9SweupDhJGjamMvnK5l26gPEXZXHVnuP6COcdSHCOVfltQ8 +lrH9lIfIuyYlBwzclU906Q+RPj26ooAI0U9O0p9iFB9RGim7vEGZkx9iLAk ++E7B3EjO0t9iDB2wMA9I+41MlvqQ4R7FhXEzhnYxK5QHyL8ujFv2yyhiTlS HyJUcsrs0mWklN2lPkQ4N0c99NUbKetLfYgx8Z2oTG94M3tKfYjx2xTPLyqx zWww9SFG/5VuQ//XV8ZeUR9ivJCfFHn9moyNpj7EqPn2cImTiZx9pD7EeFHN enL/XXI2lfoQY5fK5Uf+VyxnP6gPMf5Z5/Vr2OQWNpf6EKNGWHySy70W9pf6 EGPYh967vLQVbCn1IcbdgYa7Py5TsGLqQ4w1594nT32hYGuoDzHalWhKN3Xg hBrqQ4zLbt9bPaUHJ2ymPsQ4wa6ppct0TpDT5wkxvvA92Ul5Iyfspj7EeGL+ uPM/T3KCGvUhRusCf/fwR5xwiPoQo6fr+aPzv3GCAfXR+vyHH2LVSjnhFPUh RscikzMXVXjBivpondd7qZWtFS+EUx9izLkRF7SnFy90pD7EOKPnu6lJw3jh FvUhxiMueVg/jRd6UR9ivB8YPlvhyQuPqA8xjrL0z8z35oWB1IcYR0ZrzI/c yAtx1IcYp4S6Xxy1gxdGUB9i3Dc37XHsbl5IpD7EuHj5lXrtYF6YRH2I8W3z lsYBIbzwnfoQY61+5inn1u+7Ux9iDP9gUGWwhxcyqA8xnrtq7PW29fiLqA8x nh9zOnK6Py8UUB+t56tTeOq5Dy94Ux9ivOn8bXHLQl6opD7EOC51xw67Gbyw kfoQ4ym/4WF2I3hB2ubxTYzNy3yiuT68EEB9iJFpKXNvrXlBhfoQ47b7u+Rr OvDCfupDjLYL9nvx5ZygS32I0T7wwJiAZE44QX2IcVfg8p//nnCCOfUhxq6j Nc6NP8MJF6gPMU57I3W7tIkTxNRH6345UaRTPpMTblAfYrS42Vl1UG9O6E59 SFB/aM+4Axqc8ID6kODoXK3a168UzIn6kOD8rT5rD/oo2AvqQ4Injk9e4W+k YEh9SHCLr/TT0Sct7C31IcGkmlSdXLcWNp76kOD+7Wrq26vk7Av1IcF5A0sN V+yXs5nUhwTddCIb79vIWRr1IcGrg/fXLY+SMQ/qQ4L3DbyenBokY7nUhwQ/ 3FVyn/y2ma2kPiQ4w7XHwvMTmlkZ9SHBn/et3x39LGV+1IcEJ/kFFzhPlrIG 6kOCCwrjgq9+aGLbqQ8Jlix9/y1/RBPjqQ8JqhyfN0v7eSMLpj4kGHY4RaVL j0amRX1I0MDYscekCw3sGPUhQe2Cl9sPaDYwE+qjdb3Ro2TVG+rZOepDghu/ BOiczahjdtSHBA9VSVceHVbHrlIfEtw7KcGq+Eot60J9SLB8jN3eZ8q1LIr6 kKC7YYeZxotqWD/qQ4LRWzKCdGKrWQz1IUG+X6nHM+NqNoT6kODOmuJ13b2r WDz1IcHEiDUntrFKNob6kODK+hUZLwwqWRL1IcFTR/hJqm/K2TTqo/V885WM Pi4sYz+pDwk+7TvtQW3TPzaP+midt10TRB0tYVnUhwRPR3Yb4SAuZsuoDwlK 499e2/OgkJVQHxJ09PwY3TSkgK2lPiSYv/On8aOEPFZLfUiwUH3bu6zJuWwL 9SFBK+1w06jkbNbSdj+UIUEbhy8Xxs/KYnuoDwk+X1Ln9+HuH6ZOfUiwx8BN 2nNv/2aHqY/W8w/XfRRxLZUZUh8STPZ4uV35Qgo7TX1IsNazLCX9f9+YNfUh QcmK1XWmGp/YZepDgqJdzll5Je9YJ+rDAefC1szs9wL7PydtUKE= "]]}, "Charting`Private`Tag#1"], Annotation[{ Hue[0.9060679774997897, 0.6, 0.6], Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Line[CompressedData[" 1:eJxTTMoPSmViYGCQBmIQjQ5mzQSBm/Y75FpfB+74tx/Cf2m/0bj1XPYbpgMm xiDw2b7uy8VLqy68h8r/tC9826S5y/6TPdQYh69/Lqd+NmR2ACs3ZnZ4qLsi xp7nr30aGLA53FixdlLf5SP7wdpncjrstDoUslyB4cAZMOBxUKw5luU+kenA fzDgd8jYsyWo++8rqHpBBzejBxHuTV/sIeYLOxRwXD/el8jscBasX8RhwpO0 x//tftung+0Tc3B4ePPfyuNX9jOCnSfhIHBTOXHXJYYDs8HmSTrM2FQY9E6B 6YAp2DxphyJ/9pIZ3M/2nwebJ+OQnlpikrH2m30m2Dw5hxappKns1cwOEPMU HA5pfvNcFPTT/hxYvYLDAtuXihd57++HmK/o0GQpvGtaIeOBDLB+JYeIoJqr D2YzQu1TdnByvcFTwfBwPyROVBym2kzbuWjfD3uI/SoOT6YJbneoY3YAAJpK wYM= "]]}, "Charting`Private`Tag#2"]}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"IndicatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10.400000000000004`}, {-2.36544, 2.4366468717806686`}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ PointSize[0.004583333333333334], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ PointSize[0.004583333333333334], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> ListPlot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]], {{}, {}}}, InterpretationBox[{ TagBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], LineBox[CompressedData[" 1:eJwVW3lUTV8Uvrd5nt5rHl69KJQylCI5GylDpjRRokmTkhSpkCZEg4RmVAgp NErcW1JCk0KjNA9K8zy83/399da33l1n7/3tb593vrPuU7I7Y+LIhmHYIjuG /f+ZfNmOa73DzW3H93kkHzrz6kNZvaKxhaILsr/ItYdUiSRY5R+CFRUvouvv sdHDKilEMhnB4FS8gT552D++vDKLOK3v4z7DiEe5SX8fpTM/EPULzrGjjGdI STfyxQXJaoK7pVN1mPEWBb04aTE32EY0ku99hvrfov4wJH7252/i+ZO4j39f FyFV7N2diJJ24oDXgRODO4uR4Lkz86Zf/xD3eIvu9TkRqK3BSU8spZMQS/rM NvarFOVJV8x06vYSj748OPuXUYka0i0047YME5NxeWvab1Wi0EbOx3qvhwlD p69d3+cqkYskR+MF1X/EEPuMWVH9F5R5/iFfrtgIoat/YMuNa9/QDX+xIG6v UaI2e5FNdaQGPXxU8vSC7jhx5Yv63vUn6tEzxbVTFrFTRMbrApUXd+uR3q9R v/yKKeJ73A72ld/qUYyq8o7K+SlihZNlsdTmBmSd4ljDc3Ka+MIeooHRfiDR MwJFrSozhIR+i1hN+U90uVNiefvjWSIr+0bLaY1mdHJOQTXq5AIxKDZ4a69t MxLg80wOCVsgVM/v3bYqthkJ2XmlqGQuEA+38j/qmmtGIRkKFz2mF4iYylun jn1qQUf7Rczwa4vE+a6oMSPrNsSqEZP7cX+JeGM4mroyqg396vgyfaJwiRh5 dsiUvbQN1fKn5kY3LhHOnqIFH1R/ox5xC9NOyWXi2FJMgPbEb1TL+7FIL2aZ eMD/NVh01x/0yvimxwUfFrFN39860OYPkkrgktWOZhGtHmraIxf+IKHP7PQ7 z1mE1Pebvd+e/0EvtX5navxmEbfjjPdcF+lAuG0B7qGIkeu+LCrNrO5Avm/y vuxRx8jqhcx5x50d6HnU+vBJHYzkOyGYufN8B8o1LjiRfwAjg1dWC7FaOtCP JYMXfRcxkmlxuc99qgNhBW6uOiEYSV7XIFuFOpHFlI+4WSRGLv6NPFu0vRNt OiKfN/cII33eHGzwedqJ2sY9e7rLMZLezcrsJjuRfszuLw9rMPKN+KvQI82d qE7yeP7qRoz85yuis16wC9U+MNVP7cdIJ1QXP+TVhXTu0y3VuHESS50uarnZ hT6rv/FeLYSTcRxyrV/Su1BJhE7bFB0nP1eeUnj2swv51+3dOaeEkyfVb6G4 EQqrDcmsW4WTs5GvT17j6UZ9L5PGtTRwcpXpYqrjlm5U73vHOmMzTpL5SmWm R7pR4h+/KgmEk5bSRj07T3ejFJHcBRMDnLz++7YqM6UbaY0+PaJ1ACcVtxfs Fi3oRuz+9082meBkYVqrC1bbjTwbd4zts8DJfmfVzN94D3oidN01/gROBn41 rqqS6UEr3o9s8bbHSSkNr3/FG3vQ6nXZNnJOOPkq+r5wpnEP2rRD4ettV5zc PVG8LtGxB3kkrDrf4I6Tf8w6D4df7kGsyv3m3Z446VvIfe7i/R5U4fTIruQc Tj67ZJJnUdmDjmHc7Z2+OLnjz4Wfhp09SFh1Jaj642TzjuQZ7YUeZIXCs3Uv 4aTX41KplfReSh+aqpJXcJKPp38zfW0v0lRPfVQaiJOproJW7Ia96EQTh4xe EE5uqdoQMG7Ti24YCd0KDMbJ75qWyR0XelECD99kTAhOusZc+lAb3YsMTzce 8ArFSbap1HbiWS9SuPEvXiEMJxMsPmPZpb1ocad5/X0KbygaVkpp6UXvzLLm 2ij8RY62M2KyF+kcXCMwRmG7K7oOAYJ9KCMxhq+OwvMdx0PdVPqQ/lWDqUsU jjEIfnIM9SExxQ1VM1Q8tacZFXss+5Dbmc472yhcxlvdr3u2DxlsPrvPhMrP +vQE76rwPqRCj5reQOU/WS2lJpnWh8ysrsb9uYqTt9ZvM+Yq7kO7VzK1raj6 V8Tau0819CF33T+1qZdxsnj6emT3cB9Cyx88CwJw0vRoVnY9Vz/K8DaXiffD yaF39bWljH5UKF9fb0TxH6IwN/Zatx+lD0+lffTBSbmrCrRHh/uRhA49RoDq V27XTq1o135Ud1fyCZPqp7Ghi9mV4H6U+utSPyfV7+6MyPMeSf0opcvSLt8F JwP4c+8fz+tH+Q8OyGudwsmXtctNen39qEOYM/C+DU4ablyxsAYbQI9DJvUv HcPJ33f3yMlID6Cdg1Yu68xxUsgq1mZ27wBCqwz1WMY46dGzuis3awC1JKQc AF1KXzZNPCWVA8jFvNlPfANOHmm8rlHVPYCOPg/IzlbDSd2vfRd7ZAbRvFFg +EYFnGR//VhE4togSg5ze+CP4eT5NWabmKmDyGvzlkf+sxjZn8ZhrfF+EOX1 THluH6X2m3v2Tw0nBlHhhR9/FdoxMi5AaduFE3+RAiZ7b0URtf9M19oH+/1F 7FMfdpu/wshLZwJvRN39i0ab88kDTzDSzq694enXv+hYyGx47G2MVN+d7Nao M4QUlH75X3DEyBKadPxmkWGUYm3QVcyGkVoRnz/sUhtGsh8UTjUNsognXL7d hw2HUdcTo5ivNSzi1txPTdeAYRSI/nC4xLEI8/bY8oT+YXSlJakhZgWLGHwu MrlA/kPvTu/qml+1TFivIKV5Wv8hvY2tY6+5l4ma5DOIPvMPFSo2c7L1LhG5 0dXh6mtH0Af3K4JnHi0RV87fUjoeP4KQq3rsDdoSwacUotquO4oc3vu/Uu9Z ID5vva15edcoUu63mjQhF4gwyxQdeZNRtE9d30wlcYFgiy40snIbRXs0pdV+ Hlwg5peHnH4lj6Luf07XT+XNE39bzTJq2MbQ00Opq16dnSO+xamuJr+NIfvg F1FGb6aJ8Fyt9SeaxtAXyYDz88HTxO7a7ZuXe8ZQjkmSvKvZNFHGbb1nK2sM iTj9abo6M0UUn492KVw/jr5s3H42VXeKeGk69+zVvXE0fCDn88rsCSJS5Oua RycnkIhK/xejs6PEWx35vAMeE4izRPmYps4o0W1zBi36T6Aqo0Dh4rkRQu8l zdTi/gR6f2Bfp6rwCNG/x/qSYDX1fHiW1JjWMLEzeLjmot4kYnqWBBa4DxCz U8I+JhJTSM3grlf5gw7CrsWUYP82jV5/Emzf7P6E4EvscD/bNI2ElHx0vr1P It4c85Br751GR0pvcF/bfoNgb752sQifQQ/6fC/fj7+D0huLNp7VmUGzzRYP T7Dlod4fihm/U2fQ6suMx1WxX5Br7VD024uzqGQstfa2dhsSi76IVK/NovXZ JSdvrv+Nig5y/YuNnUU9OuPNCmvbEX8NY59nNvX8jd3M4Nt/UGaVCadqzyy6 LqHNeB/Sif59KbwYe2gOPc8I28F/ohed/RRid0Z1Hk1eczpL/BpGCt2GXNMb 55EQJI3bGfxDX9l4nwfAPNq2EVxevvqHVkLE2I2j84jNK0Z/w/UR1FR0NzD9 5jy6d0bn/On4UbT91ZOUppF5dKDp/JOyLeNINPFz887CBaR/p4kUN51CH96G X/5StoCqTtF3vAyeQm6NxszDdQvI49ZtX86cKfRJvM7FZnABZR8faZwSmUYX o5tmfeUWEV/wv6MVldOoI3RQIitwER20Cvcs0JhFrz0FjkjtWUJlgtuOGZbO o28JtIsvzZeQvUBquPbQPOotk3mww2EJFZzlTqgQX0Ay0qv/nr6yhKLKByS/ Oy2gkJJdwSV5S2hgY/fKs9yLyFzsSo4rcxklqLb5ndRaQp5bw5pYmstoRHyG U99yCYWfimDF6i8jp/RDwrn+S4goStxHWC6jVafdc86ULKFV9oVdtKhlpA+B a0V2L6P5nDHa+4VlNOem23t7OwvRf89uNuFlobXG7F3tNiykwYOd7JNgIckV 3NYl/ixkby2UKbqBhcLf39PSz2WhbxxqBqecqedMK2e4RDDo1djguuDDQofe 1MdPy2GAHd0cHR3MQr2n5K9krcZA+6VRa1EKCz0Q2uRwfgcGKWYO3sI/WMgl 8fis7VkMCq+4JaR3slC/IJtwVAAG9c+8yM2jLLQ7WVch+BoGHFeA6w0nBqYh d6KIJAx06w+YtCpicHt1d2VoGQa7nE16nqhiYHsx8UVvFQYmS2a+ZzUwuOIX elrwFwanVY+ncG3F4H6srFBmPwaP/N0G11lgQB55dHMNLw7rSN7Za8cxYKWM XtMVwYHkyOBst8dgdYAFjSaJw5+IbsUITwy6L9mGrl2Bg+f3II3u8xj4Twcb uK/BgSWhtFXvEgZyiu93XlyHg8LD4xYDNzBoKVhRNKWHQ1b3ggNEU/GD3wid 2o6D/uoEr/v3qHjKEjaphjhYv/kZsSsNg7NHmrIuH8JhaNo7MekZBr9rLsco mOHgr0d7NpGNgZVZmHb4URwSyg6WPSrGYH6cL7TMFoc1vP/qZksxEGYWSd1x xOHt/lvtByupfL9rblnrgsPumDXDT2qoekSjf8ecxqHx5+f5pR8YeK1MXvh4 BgdnWSces1YMaLkF10gvHGZOcEpkdmKg0Pz74nUfHMLS05TZBzCI2f2qUtYX B4mB7euPjWAQd9z5jJ8fDk/W/tn2egqDUb1O+/QAHLS9LhvzLGLg++f+w/jL OJTlyx07wYZDk3Yq41ggDqYLRU75PDgcUnnb0nMVh2501EdQGIekFxtrtwbj cC5kJshBHAe+Nu45mxAc2CrvRr+TxSFt4YuJcSgOMYJaKWJMHM4HvG7mCMOB afL9hcsqHLhFoyKvU/j1Pc+3pAYO7S9/nv5FYWgRqpDUxmFjVII3dT6CWsbL Bg+qL/l6tx7/pPBJh32dn6i+hIQussIoPJIxMCK3Gwf1Gy0hbBS+PHxt6dwB HDqeF2rvoeILbVDh/2qKw4fbpXQrKr+U82VSTCuqr0oVK3Sp/Ne+s1O5SPXl redGF+p8BMUsTKvWidJFCa33CFW/scGD7aoeOOR60h7GUPy0Xtc/eNkbB8Hh gKQkij+3qhbrHxSvommbO85Sn/Oifq7q1Dqrhuu8xSj+w82lfIOv4RDFOm1z meqPTGJ+aHMEDiXfax/nUf171m56Z30slaeA3ZFCqr+fnW9ntT/E4a5AIaci pQfLl5rFm57i4H3bRiGU0kvfWFVlxEscPr2bKsuj8uby5+vRK6J0fzN08CKl t3tExngMiYNhyaEgQUqPKzmMsMFyHEI9XzedpvRqEBEsG1ePw5n1KaxISs9B DxYPTw7hwLvV+4cdNQ+H1hWeVZug6lnrzeez5n8ezt22m8PhtnVUsBk1T0Wd g7W1nGywLjD5xlVq3sZXNh18qcAG9rB+7toCNaf5sWe6V7DB6i3rTwhNYhBp dChKVo0Nnj8deGI/hMEal4rqGzpscHj+r5Y/pWO7zLz9pw6xwek2WuvJIgzW 6Z91TzZng9DH1a0nX2OwXKUe0WDNBocKPQPXZWCQMJL2bYcLG5hpesuiuxh8 3xCzjxHEBgdFUKacOwbb33rsacxhA84VvscnaBgI7V3jIlzEBgFXxjYtcGPQ 2txz3ZBkg0d3dLY+m2Eh30Xrz7nf2OC3fe6uuU8s9ArtM7rdwwaNFgb4Pmp/ VSxX3bVXkh1WmM6tnr20jP6ZdzlclWeH3nLuJuuTy6i4LyWkUJkdfhwdDnXZ sYwseSXKVNaxg81vU+0AzmUUbcyxk30PO6RfjHwSfW0JYfV/oNiPWm9TR0+5 /yIKGfjwyO8qOzgupis2my0iXiyZbfN1dqj8vi3/luYiElt7tCzvLjvYWnxb qutYQCuv1Rllv2KHI5434/5uX0B79UoPpPayg/9S5kD96By6k5Zmfd2EA1pe k1lXBGeQVNHV94ZHOeCm1IjGndZplFR7QoHzJAdgP07kWb6YRk+WZP9cdeeA qY2vfBaNplGhRay9/3UOOJ72w/btpSnUyh/q6vGBAzoPOEo9aplAKt6nfE3X cIJrI/2hzKlRtHZL+5EH6zjB6H3Li5R1o0gLs9Qc3MQJ2MoKo56pEbTj1p7e Kzs5QZj73ktphRFkk65u+sKaE27t+fdax3UY3WsY12SL4gRRyVwJx/EBxKl9 pS97ghMsd43/Svjaibqn7pvzv+eCTCf3+SYHAqVu33iu7SMX5Pk0GD848A6d iKiOyv7CBRc4Xllw6hag5hWclUcaueChOGt/Ey0L1R3x0kua4ILT7QozQQY+ xIfXxopr13DD7MerVYpcJcR9d3zwwH1uUOzVJjJLGgnTt0lcSincILFgsf/A xyZCjFNXeSKdGxqUd87cLWsmIpM8rO+/4QbHJ2NxvOWtRMjXlur2Km7ofHxN VsTuD+G5Oj/Hk4MH7NdpO2Fm3cTeHtdLMWd5oDDjbMV+tiHC8JJypoEvD/i8 XSs1f2GI2CHe2jx9mQe+yR55aTg8RGzZtV/X6hYPcDlaBBT9HCbWPNacUH7K A55p9s0d6SMEv+Okc14rDxx3K3zncW+M+NZ9ybTRiBc4h1ojU0cnic8Bm4LD D/ACXcgpTWDFFFFGH3m91YwXzpolP9S0oM6/BieFH9nxQpbq6ifJxVNEZvqO Ly6XeAHHS/Zyh0wTEQ7csPCGF75/9I67wjFLHOiOVlNQ4AMBRdbR7Ip54pta d4P1Cj5QkNssrvNvnth3Tudy4ho+ePXPWcCTvkDsZvtdK6XDBwftTo1OnFgg diiqnacd4oMTcWMROhMLhLb1J5IniA+mbx1WOsxH+Yk0KVej63zg32avW6S2 RGz460YLi+SD/Q1cy1XGS4SGn9gp9kQ+wBZYYpMRS8SquBP8yzl8ID/fKLBO YJmQa5gzm+jhgzZ7+WrJ2WUiQXY/a/0QH+hq/36I0VmEtP3DDM9xPjBGkpGR mixCYtxwYXiZDxIZD8/HObIIEZHYh/2S/GDz6/iYVRWLiLTo26OqwA8nNcdx x14WIfhgy4TjCn64ovb4kwiLRfBpdOzqWscP3xbc0p5KYiS7scbftj38kDVT afRqF0YG3bkaK3eIH5Y/OX1+dwgjsZYGfStzfjh1gO32fSuMXHTxj2604wfL K6/8CU+MnL72Wbvenx/eNGmfrIrDSO8a2XbRIH6oRZrlFqkYOSFx5vqh61R+ M96hr19g5Ohj8ZaqWH7o2y6c9v09Rg5+tAv8/JIfyMC+K58pv8m43egamcsP Dw92cJzvx0hTmwNmpu/4oVXs4PEByp9+mN285s9nfpCQYhNXwnFy4lM2/UkN P8z3+23t4cHJVXdWstx+8gP7rZoKDxGcjFkr2jDTxU/9Psmm1VF+uGI+7MP7 QX74mxpT8nwlTi5WLGYEj/HDv9X9f3ar4+Qpu/5Lwix+cBDpqain/Haipo3z D04BMJxzcCC34WTtYr1JooAAPL3o/eKsAU7q3SdUVWUEYGw6/6/SQZz0dNAW G1YUALNYZVLRFCefrH+x+EZVAPKv35nqssRJkW/36rZpC4DANWJHgS1O7ooX KObYKgDN6xS2VjjipN+poCdfdghAbdOno4kuONmNefibHxIAzUDB6ihPnJSu 7nKUsxAAo3RC4NU5nDyQePRQ53EB0HJqR7HncTLYuWZLhoMAdPD7Hd96EScL tXet9HATAI4oN+sMf5wcZnsnrOUlAEnlNlqNl3CSWbtufs5XAGIvV7V9vYKT FslPuokrAvAsBjMJ/v++xVWuJjRMAK5xitxcDsLJEp2Yt/siBEBSvCtYPwQn pzl40kVjqXqM1+nC//c73y9F/koQgEfRl9K5wnDy5IMJ3+RHAhC9TrE8msJ3 T7vY22cIABrcmvj7//ukze37V2cLgPJEBXOUwiwuM92RPAE4uhBi/YnCWg1f mHnFAuCjwb3HhsIuj0DQ/6MAhK9/PVBExUvxyJ+BLwLgoJAHLVQ+9XrqnVx1 AjDnTz9MBOMkD2/qt2+/BEBc66GCE5W//k/JgpjfFF9hsy+/B+KkV1rEI8se io+ZWxxsVP0Znuy3FIYE4DEkrZoKwMk2/Yvnu8cFYLuOllKmH06K8Y+cfD4n ALn566dVfHFyd6PDPk9MEMJC4JWjD05eetysvYlbELI3tFg6e+HkG69DiouC grC4vHde4wxO9qFyvlK6IDzJfvrgrRtOyglunbomKwhq7r9MeZxxMuyp6hfa akF4mXaQOX4CJ995J+c2aQpCZrOreYQVTo5upz14sEkQqrcs1w2Z4+Sx1uVz agaC8DeG58+sMU5GPfO2GdsrCKbcH2IfG+Fk2fnB3QWHBWFQ1fmHxA6c1BD9 Kb/zhCCs1uoyMtqEk70RvUF3HQUhLvC5/Ll1OJnMN9PX5yYI8tOu7m5rcFKA Q+rNLV9BkJx+/7FEHicHp48a/rwtCJeLnrtxs+Fk6jnXF6viBGFD/7J6/DxG Hh31E/FPEQTXuHze2XGM/DyQ2Mx4IQgBZnZn5bsw8nFrm4dLmSB80HJ+wFuC kdZH/9W/+yIIyNmpjasQI+k/l3WF6gThykaz5bosaj+qYbDntAnCyNNJi++J GHmy1Pb+4rQgDLwvvXP5HEbKZfQQUauFQL35xcmH0hjZsGJ6RaemEBg3XmUL F8TIm4+4wrU2CcHrN8ZhO3GMnE9QNW3aQbn7sMXI/bUsojHCpZ9pLQSRV3Jy HJxYxJ1zwyL5kUIwGPCyEA9ZJvaOLvnw3BWCEz17Vk07LhNs7kItxxKFIOwV r1+U0TLheUrzMeupEOARwevf8C4TB46e3bynRAjcFO6vKb2xRPChKdvWCSF4 V2cTYntxkfDdvoonf14IbLXfWjWYLBK9O62yonBhsGwoCulSWyRKd5fM7xAW hrIaGGtsXSD8TCLuPFsjDGo0uWuaWxaIv44rP523FYbyV8cS+LrmiG+3zFaJ 1gjDGb51e3LGpoktUderB38IA9dynlo9MU1k3H7nXdYqDIbr+JdTI6aJkHtK JRcGhUExntQ2WzVNKNROq4+wiUDexU3XJI9NET+bSj+ZKYiAyLqy+pzsCcJo +NgM00wEEq9e5wpcNUqk0IPrr1iKQMfp6G/rf48Qk3ovslutRED6yXHPGdcR 4mH4gtM9OxFYndVx1SD4HzGvmtTI6ykC12VCe0Syh4hMu7a3o+EisCVavK5m sp8QaTwR8IEUgc2SgUwhgw6isdQBP6YuCmnh3PZP2tKJ0e3NMpc0RWGvsWLh n8wEgrvkoNbDDaKw5vNI7b6t14hNxBanXl1ROEPzXxV+JQbFvhOp8tolCjzw ov79yxx0MLc47qaNKDDMf7zobvuMyh/T172PFgWFO3wiw6Yt6PeK8D1/7ojC xwoTLdr2VjSVxrJjvy8K5/hCh3vU29CK1MG7e5JFIaP8ybYw9nYUlEIu/Hgm CvH2yVs2mnegbfdPV/wrFQWubVG/Vkx1o7zrZTaKU6KgTqivZGMbQhl7v0pd mxWFIPbKtREXh1CCwPfvwwuikCNx3D5vdAgFRrcbvmMTA1v+xD8/24aRcdy8 hrmIGMQuqqH1OSOo8+k61k01MQg8eOq+Z/oYEqpIejBjKwb47t+8BXxTCL+R dtTGUQwi306fqdo2hSb3Pqd9chaDfn4dmQSvKdRUXXAt5owYkKel3I80TaH0 n9/PrL0kBpacn1M3pE2jLb3UWS9ODHbdrz3Lv2oWneL0+VNdLQY20aKFj8bm kQyj8tdCnRgYe54vvSi1gKp15WtW/RCDtpRV9axtC2jT6U/vg1rEoJNPbxP9 5gLiqhdP3NQvBpU91lcPMxbR44f5Zik4DWSWr9q911lClkV8+79y0KA569Ox 7UeXkECDjcEsNw0M0i2un/ZbQt7c3BtNhGjAOSw0kf9uCRl4WIhwydLAVSjr oOiWZdStN/vFXYsGUcmDYzdWslCcmXFpgg4N2C5F3TTdzkLGZx6+rdhCg4z2 jrukNQvlpu7OUNpOgzCNhtf+MSwUwhsf+mM/DXIM6rf4zLGQrvJwANthGtSt WN6hxIvB0Nbt3pqmNOBrbHWwEMfA1HPA7sYxGthmGoSvX4vBil+bQd+JBhta knzij2HQOBqh4+pKgzM8tjRfRwxu8XVq3HengcM2MYmVnhhM6ofLj52jgfK+ h5UDIRiUpTfPpwfS4Kv86jCZTAx8P2iM1wXTQCNpocs5DwP1xqCB5TAaKKX9 yQ35gEEsv1qjZQQNtIphx4paDOy9/PMEEig+g8PWYmMYbNrwO291Mg18Y3bO RM9iwDcO+YYPaaDDKeI8ysLg1VmugsAnNJAcfzwgI4RD8HqXguRn1Hru2+p6 6DiYj30tKMqkgcunEMErsjgset4unHxDg7eqQzpyq3CoWTdZKJpPA8fbJ3BF DRxSR83farylwRiu8nNsIw57POWKnAkalKtG2LC2Uf79zNN3rV9pkGf+WYs0 wcFFk694rpoGh/n+pGywwGHryOliie80uNHQmuRlhUOXx4b3hxppkDDzTNnK Hod8jbvv3VtowPL3v8vuhEP4v5n34b9psPRKy/2iKw7rPN5/KOum+Fd7o1Ll iQO7hiLR0UeD0kyR6efncPg5HEQsD9KAFnGTy/w8Ds9e9hCy/2jwO+nkoWpf HALcd5O6YzR4f9j2G80fh4NrX5BmkzQQbxk/p3IJB+awYInXDA0MtYW2c13B YTrTsyRqngab9EAjJxCHytP1JZlLNFiR/2zT2iAcktQ3lVZidGh0Y5l5B+Pg ORRX2stOB3m18OvXQ3DYmblQys5Nh8ifKl9dQnGQOG3zUZGPDm/dDWWlwnAY UCv5qC9Ih+v0f+fvULj4r3LZMRE6CEgXtLZQOOpFWNkFGh1uzFTv+/8+yc5t oCxWgg5/rGc+1lNYW83402tpOmxVDdsVTGGev1mfquXooOToWMei4rU+Fy3/ y6ADYUJz+f8+KdvVu5xHmQ6JZqlCJ6n8gtb8Kl+pQq0/XVi2k8rffHBzxY7V dJhpuh05eRWH1c+TKk6o0yE8f+GMF1X/ogurIkCTDnx7j7q/v0zpY7Xd5/gN dEgzfnTzRwClj4Gyz/nadPC2s6kt8sPh/DPVynpdOlzgz97uTvG/xyW8clSP Dq9u7+od8sFBbvVwpSCiQ8GU06fNVP9G+w9+WbODDlFNI71HqP7ecxb/6rCb Dia7fGmjLpSeVvl+vbqPDvF2guu9TlF66m/+mnKADqcm1+WX2OHQ6fTwW6Mp HTiKHjArj+GQp8peNWVB8e8upXTVHIfrfY5VYlZ0eHPYL4+L0qemk1q1sS0d WKtSG/x24/DbhXHmpQMdxjgPSMztwOHWaZqIkDMdRLnjd23Vp/p1duFwjQcd rlmfLBZdj0Oc98i4phcd2iSvrE1fg4Phha470T506N90tX1BGYe0gK8/DgfQ IalL2m5BHAeTK8T5N1fo8Fgq0S6NmkcsKEeSFkwHFesGdlFuHI5fSzzacIMO wVyt0fozGEjGuLWZ36cDf8Cnlt8NGJTHnrhckECH8lu0rvyvGHjfP8KQSqFD QBLD06wUg7okPdumdDqYn01J6s3C4OZT/h6rN3RopxuOW4diwCp+MXSyig7c hVZP3qpikEU8iCippYMQTx3BJ4uBdekdDWYDHazzkt+tEMLgbYW/Z1czHbR2 ikk697HQue/7Jh376ZCleUE+3JeF+vr+Lriyi4OYhKJqftgyujfYnvSVSxzK nL20Hp1aRgbD9frqfOIQUuqju8JwGT0af3dlWEQcDnY865xgX0ZWSzfZPRXE YTz3LSqn9v8aMXV+n83iYKYrEfPAbBFtc3cfSNwqDsvuH00b1i+irIqsilIk Djctu0XyBBdRZMD6EBFDceBXEF8ZULaAjHs3Lb0wEQfp8fOkusYC+vJ2+0in mzi4flNb8hufQ59OWtQfShGH4zFmqeI7ZpDWu7jXFx6Jw6GE20aZ9BmULt4c lZIuDmttvykv906jkC/WxkPPxWFDX2zqj/BptEPL7tO1AnGoPTRdbVczhUhu 94IPteIwOHGIftZ4Er3LCkpUZ5eA9ZNWosdlxhCXsZnMfS4JWDwzxsb6M4oO D6jG43wS8Iud57fj01HUp1x176eIBOilCfqGbhxFtHjJmEAFCWDPfz1lEPMP uQVnXm/YLAEX0tdaifwYRLKWP30CPCXgna7asTuSXcgfX3PoW5sEeGV86T4R VIB6DfgbVTokgFXd/bAnIAcduj504mq3BFgWeeoe+ZeFVghnn9n0VwKSv/S6 hmcmo29yWlEPZyXAWE1rr7nVI0JBd1u1N00SiMEfFhvcyohSDxNj+T2SIGIn GGm7upnga/Xb7ZErCeWE2lK/yxCx6cIzwagCSSjjGReP/DVE2Io1fs8ukoSM nSmhvw2GicLd2sfHSEk4clvVKUDhH3Eqb+Ssd5UkvOb1OHqjaoQoiXRI9OuV hJV3l/cP3hqjzscH/oVJSYHwrZ5g59eTRHprQM5TWSkwiN+gUdYxSdRceOH7 WUEKKr5N3eoUnSJUsnjY+VZKwfm3CRsdz04R9TIfJSPWS8GMx512r7XThMak zvY7e6VAVDl8WCd+huh5ohT7IEAKNridMq7XmyeGQjrm2AOloOHe2q7GU/PE uN2jE87B1POFsubBt+cJjKGktj5cCiz2h4WU9cwTMvcVS0vvSwFfwrR2/40F 4tA1xmjPGymYf/796RZykbBwbDfbmy8Fzs83vt3Xs0jY7HzwLuutFNDDKvjm eJcIN5bCtQukFIR6efqomCwRYRcUFHirpUBGXavnQ9sSUewkb6w+IAWH98vH Xe5YJj7uansdPSQF+oUCprIYi/iinCw5NSIFIpyaAvsVWMSvdrmu99NUPW9v 17kfZRHjFnJ+BzmkgYO/43H8FxYxp93ansMtDTslnTXqe1gERk/aJcUvDR2H RfcfxDBSsFZWtENUGrYXH/3hLYORq3bLZngxpME6ZJuvsjFGaqq0CP5iSsNP sW3dbJYYuYkj8ZyeijQITP7qfmaPkTtJGcSxlsIqhewH/DDSRlfm590t0uC+ UjhoMB0jHSWa9eb1pWFc/bwFWzZGnp6Mf2SzXRosfFfe/UP5vYuvpN1Vd0sD ZtZRMvIVI2NXSXO8NZOGsVvylmYjlD+0UXnaZUl9/8aoUHQGI1fEbtwrZC0N NgWCIonLGJnL2h9tbycNCtctjemCOBmgbbUx0lEaPBOOcHLQcdLAzflnobM0 DCX/siFlcLLhZ5Cc0BlpKFHjTUtRxckkgWhC10sa0jbjTuRanHTYkWxn7yMN G3MlL2dtxMnJlwUZhf7ScOFQh83INpykhQ5p2V+XBlbMZ3m2IzjZXDT3K+Km NLy8av4sxILyw6Nc/oWR0pB54QRfPeXXN1grlQjelQaGUbZ0vT1Ozt/WcNCN k4YtVj3ZIU44WVqhx22fKA2WWj5/cTecNNlovr/wkTSsETdYfeIsTsq42I92 pktD4jobKeSNk50pnncEM6j1vK6HDZ7HyecNlzbpvpCGP5zv3Gwv4qQX380m uyxpaGfcItP8cXILxAVEvJaGPWLrLr++hJNs5x8zCnOl4bftxZTwKzj55cWb 0s4CaYhubJTVvIqTMR2Eo+A7adC+d3wsJQgnj0lW8eh+kAYXRp5MczBOMvc3 v7ArkYYbrmqxf0JwcjCo70BEmTS0Dj4/9iYUJ98UTo4VVEhDU3yx28EwnPT7 h9/t/CINt5avfSqg8I4VwrqC1dKgvrH+1F8K8x2Ta9Gpk4aP/WwHByn8PWr1 ZbsGaeBxkbmc+//7SJ82KUX8koYD995N7vn/faOFnWUFzdKQPqCS+5yKt2b9 YafONkp/Z/Q+/KTyGT9lwyfYIQ1txHnxairfoiS3lzrd0mCwMFkcTdUT9N33 kF2fNAwUexYqUPXu5QmbuDUoDfmiOwV8KT5Et925VzAsDeWu9u+TKL4azz3c 3DkqDecinepuUXw+fPayVWBSGsKuBR/YTfHt3F50RWdGGu7G3NCrofqxTvwz 025eGs7zDj5Qovo1u/fHp1tL0tBrnBOMqH6SgZ3OBZgMGGXeHlnlgZOHhhaz BLhlYA+3aagNpQcpJp+JDp8MdJs//vic0ssfC8kpW0EZ+Kfe+6b0BE56flyv V0CTgdT6hnozSm+6c9t+d0jIQExRs0KdCU5imsZXBWRkYCdP4H6pAzgZnXCq wlZRBo66SkTxGeDkhfNB5wKUZeCpnYNSHaVnG5MUxn0VGTh33LnJcTNOqvP9 vPBNXQZep3ydm6PmofLirlU6m2WgQYPtZzU1T6/MbBsOb5WBt1Uip3n+f79v /aXA00gG7iW15Ipw4+SpgdzGR7tkQOzsp+yIWYxkO7rihoCJDDS+an6k14SR A1qgrWomA2z8DYrDtRhZK2Ldsd1SBjKXNNg9PmPkg893Nl+wkYE7Uj9Mf+dj 5FZd9sEOV2q9JeFl/9sY6SPZubcgWAYsDldSB2dqf5hYmq4Lk4HJrpE1vhsw 0qBGOm3ohgygZ9dLllQwUuza4QWlaBkIFji8GCCMkVnT5ItbSTLQm/qnIaWY RfT/eCBglycDIsWz7RW9y0TN63eFAYUy0M/VXXbhyzKRH/HL4f47GUiX3vO0 +uUyEbJL+P23EhkYERt45XVumVDKu+yuUy0DyTv1VJLnl4hjscerBfpkICTz 197K2UVCLodP1m1QBmyqih5rNiwS7XUFTpXDMiB5zu3PxuxFwkFYDA+blAEW wfNP0mGR8Agv38jCZcHJ8ECgdeUCERSoGT8mJwujJ/ysjYPmiWencYefJrKg 3PBLJev1DHH6ZtYrLXNZcPz4+1br1RlC47nVUsxRWTBWeD1SdHiGeNOXd+/g SVlI3k3fGj46TRTbuVZ+dpeFzvIZudA100StZb3Gu+uyoPFhFRkYPUnMGjye e/BBFmhrJFY6rx4jAt49CC4rkYV1p3pDX0+OEtiGBMGBMireYfVnn4lRgpsR pbThqyz4fS59bmc2SkjM+e4p+yULe2PZK14u/iM2vjSO7x+l8m8/fyUu6i/h IT6pu15ZDvZbXhz/4tdNdPXs8C29JgfxtR+s/n4sJ3Y8qE5dc1MOjnp4mmwo KiMeWh6riomUg8fOt+XWvyolbL6eZdrflQOGwP6VPZveE82vHn5jT5MDq6pU 2XXEM+K7/7Lirg9y0OE/n9Vcn4NKRYsqKyblYIXpBrvHW36gVP31slW28vDh 0YfMc5aDqPQAX/CCgzwAsyYqsHIQdZ7oGlztLA/HEqIVtm75i5SD7haFecjD kV38fW9lhlB6+dxR8JeHps7B8ee/htHjg6VxObHyMHq13kPh4SjKsD0ikVAh Dz2bB+7d7ZhAn73UL3/+Ig83u/+Uf6JNov5gzt7pKnmgoW/4212TaNWTgrwj DfJA1sRv6c2YRM8GZc0EO+SB65fkoX2np9Dzc913Aufl4YSx526COo++DPUR dVqrAFPIzNHryRwa2no8KHSdAtAqvGrka+aQ+qTBRNpGBTjordN/aWYOPbej //izWQG+HNl18JjRPMpAOXHHDBVgcJjL6ELXPEqfG2UcOKEAxfxetu0Ci6j7 VWP0aTsFaIsfcHq4bhEpO5P4TUcFyNlzeI2w6SJK/RnVVeGmACMPDA0n4xfR gxyNp9t9FSDhpGpFndISSnA/raF9WwEKvcUvhCgto+YVpg+OxCrAMVBvHUfL SLpVT8TrvgJEzpjO89gso7i9/ONZydR6R1+wq8Uvo7uqz/NWPVegzp/tI1v5 Wajh920Vo5cKYGIw9a5dhYXo9y7ed3ylAG5R2g9Ud7BQDMeei6n5CjCcX+X+ +AILRXf0bZX7SMWv7S849JuFauNqXm4pV4Ao1pNS2gwLCR8qUDhaqQDpygGl xdwYRH4Iw+7VKIDVjDHfPQYGtxJXlgm3KkCKRcOQ2H4MrpnZ72OfUoCvh5ee ST/AIPVgq7XjrAII2m2R3/cMg+I9Zh4VCwpwt9rKamcOBuP6RrdvsjFg6K7y q2vllJ9SUftFE2GApkrjWutBDC4opvf70BiwpDnsQI5jECMjP/9LggFBmS9d B+cxqBASlk+SZ4CnTaNXFB8OG2bG7VaoMYCXNLwno4rD/jE37zANBiiz5x1/ vhYH57/dof3rGfB9IXQ1ayMOye0/MzJ1GeAerOI7g3AobDpYJLSVAT1JrXUJ u3D4Xv/5qydigLrQxza2fTjwfC76p2XIgPdCmaWKZjgol27E7u9hwHX6uO/P ozhsK84UnTNmgMvPkcRDNjhY5q9UtjrEAEc2Q7koym+fe5Wi9f4IA6x47f7e pvx45HNJQ4YFA0QOX16wdMUhIz3a4uoxBvjap6Jud8pfxwX57bJlQEgVU8vI G4e5mIWbTx0Y/987VStcwIEe4Z3M68wA+VL1s0UXcdC4Npzl5saAZw4YTSYA hz1XT5FVHlR9bL0v9C/j4ODfXqfpxYBtTqFaKwNxuOxj2XXbhwFqCaZPaq/i EH+mbnLClwHzE/cXUDAOuS57ucwDGPBtg53muRAcauw/ShZeYQDtZqy+aygO g8e3rpYJZsDLvN/MlWE4cFjmbQkIY8CBhQ+taRRmmGgY/77BALp+kEsvhbcY Pz0OEQywm9/5eYjCpoaKZ1KjGfDvyL/ZfAqfgfhAjlgGCApsWTSgcPgWsZhT 9xmgG5JVf4+K91jrZtrnBAZUFzy6mknlQ2pw5K1JofqtpcsbRuXbvOpS+a1H DABBRw/lIBymmNO//qUzwKhuIC+EqldE/szAoQwGqF4w73lG8bFGsn/+zQsG YMa87HcovnaJ2gqIZ1N8tGlIgB8OJ/mb5S+8YUBie4nKa4pvP84jmk15DPCi 39Tvpfpxl/UV9N4yoG2NkkP7WRxezRmYJBczQOVBf3qSBw5fJt7bswgGcNyn 8Su44dAzvMnH9iMDVr97lGrvhAPWnx32sZwB4kInfd3tcdBuffTsWhUDsrA0 8epjVL4azrPZtQw4xhXqdN4ch6ErGkaN9Qz4ZJr5e/AwTs3lu+5VzZQer346 p7sbh0CfqxsPtzHgVldBluhOHKwrjIIu/mFAr/7o7gJ9Si9uDYwvvdR8pf9q cdqAw2hxgsf4AAOczx6b9lLH4ZuQ7XuZYUo/pl9y9qrgEPJm+JjbBDWfSrm2 J6VxmA9g38eFKYKtAWeOyhIG/Y9PeSXginCXT5QvfgqDn9WV8RrsiuDKJ5nR OIzBG8XofnMuRTjK7ShBtmHgWiYX9lRAEX48Pum64R0GTfybSnZLK0L2/jMH i09jUK4V398qowhc/fv1he0wyD2+KHxWThH8VrqqrbfAIDq71CaeoQgCiaPh nYDB7iMHFwdWKkLhNXVeligGhQnOOjc3KEKan11jgDkLPfn41YahpQiHgg2z lPVYKHZIIyxHWxFanizKujNYyHPbVEOLriJcCg/kH+hdRqs6r3qpI0X4Vr4c FXmW2m9XJ76s2qcIR6rWWv32WUKTE4aPg/crguzfkEgRkyV08MN40uaDilAS Vl/esnYJcR3Ze+uxiSJU3HIyQN2LyCdgzvXSUUWQ6dyUu9t4EZnUWKxa66QI 5n+4xlp4F5CADz3tVpAiEHr7eZa3zSJnRCbsCFEEq133ztkKz6KPvKdjZkMV oftI7nHP9hnkl/LxqsMNRUhOlT985/IMGqjwOrk1WpE6Lx5ywt5Oo3KZOvmh ZEXIKT5+S4Qxha6QEXH73ioC7/UT33nzxtBgGxk7V6QIW04sTm6/NIbMFyai nxZTfOa4dm7bNYbUNx27wU4qwhP5ZXp4wyhqfKHi965cERxFFCKm/oygDfcJ K7UGRZCn37P+vXUI9bqPKfCPKMLxZOkwtVfdaL+s2eMvK5Qg+3Rkqt2ljyiu W4O0UlGCzFe9x+WTS1D3S56WIVUlKN310233RQIFQLGIsJoSXJOxyrWcLkCZ jsoBR9YrgWWsSyhnyyPE92rMpFVfCXLsjkabqOQRFQaR2D9zJQgEz8G9OxqI 7R4VVqI3lKDGZqdw8fN+Yr5xwLAsXAksvErlclYMELk7BTZcuKUEezMI+pGU AUJF+jBPW5QSlMu7rrsWPUgIlDXnZtxTgjAJj0MxnkNEo/Q/QUhXAlF5d8Ue oVHC8xOd9CCU4ITpKcbv6AlizTqdF0olSoDtrbVtK58guhKO3msoVYLNOqwV cYsThLlnyukt5Upw2kDfUN9pktgqu0qaq0oJnoWv/7F+8xTBc1bPK7lZCXbX 3rJVqZkmHsjZrfg2pQT63rFeoR/miC0b1TTsZpTA9uHmyty+OaJhz6TO7KwS rHaXH7orMk/wXAjbt2JRCUpo/5652c4TnnXPvQLYmOBNkyixYM0TEDZBqgsz 4bdXpMVXtUWiOan4S6kIEwZMsRftBxcJ75zQBksxJqilJ4alnFskMv5I9oeI M4GIz1aVKVokRPW2CrfJMsHObTx4accS0TkScjxiFRMktjQlyxosEwFcB5yU 1zDhpEKNQobdMiEhL3n2rRoT1pgl9jQGLhN79z4L6dFgArfNtqaVxcvEm/Sq F/raTKg56vHYXoNFGL+7l1e/iQkGE3sTePayiN66E4SLLhPctYJlDjqyCBnW 2Pe7ekyAtkpvIoFFBB+VmB/ezoTcH/2uMRhGKni2s4fsZILN93OvewUwsjAs Q1BmFxOq0kVD+KQxcihni5LhbiY0LQbqkesw0lToxO6UA0zgfK8n/uc4Rq74 +PTeASsmNLfddmvIwshq9dn0VmsmjDY0hHUVYKTvvd05rjZM2NqxqFhKYuRX l4GaMFsm+BUnuA3XYaSXiBov4cSEjtJ9mXNjGCnn5y+534UJp2wUBIPmMPJT 19eVLa5MKObx0WjCKH9acHrHjDsTRnSEbCYo/0ccz/LX9GZC6KMB9GMV5Ycr lm+892EC+92RM3UaOCm2/mDcvgtM2NtW/SlRi/KHHKO5Tn5MGEy98DAB4aSI B3yc8mfCW79jnDWUP337K7ou+BITMgv3HKrbg5MCL9b/exDIBNn69zboCE7m 04MW1wYx4VhrL9cLyv+evPydrziYCSmTDjbdVjiZc/icamMYEw7aDw8SlH+2 fvdR+9R1JhRlqfHaUf6aayXdYPIGE0y0VZ/VueLksdnckyIRTJj24jGSpvw5 hx3nmZRIJnjx5m8YO4eTWV/NLqlHM+Fb9Sv/e5S/t9R+crPoNhNyyvfJ8FL+ H38wHb/7DhOsJk5z7/HHyec8Rhk/Y5nAcI3Yan4JJ0297uc73GOC66m3Oeuu 4ORyS1/Z+H0msI5FOzUG4mTGLt36wHgmxOK7juwPwkmT7OsdQolM+OCc7BUV jJMLUk0jSUlM2IhNlKSE4GR60OrlNSlMcE7bsM0/FCcPDF0UePuACedTW7tX hOHkrNkXGaNHTLCu5MhNpHAqIbP6RyoTYhxNnrdT2Hi1m459OhMm92AV/79v MxXzbtfYYyYs1Lby1lA4ZZHf9MpTir+2Pef8KLz7lLWd4DMmvGjcyjFBxRuv yfRMfM4EsdfbPuhSOGnz0uXVmZR+G9zS9lH5Gabtjyh4yQTmGu98NSr/EYGU xF3ZlH75E+cbr+Jk3Pl/z+pfMeGsXsG5I4H///9tW6HtGyaoNG5QSbyMk0N7 ospHcqh+HeaXfBWAk/dy2hsu5TFh/Gjdvhg/nAT5dV38BUw415DxZbsvTg6E BY7FF1L5l+1O+OCDkzGjtSzVIiY06C2U8FD923pMSSj/HaUvSN6j6ImT0WtL 13z/wITtNmyJBS4U/7pWvEEkEw5zDrAPOFJ63jnZt76UCe9Xb2Zrt8XJf0dV Ht/+xIQtDwVnpI7iJKcjEby9ggk8Htf5j5vipJynpd3YZ0qPe4+OOR7EyX1h 4YzD35ig2ZHgU07p2e628jJWzYTEURNdBUrvfknFra9qmOCwdYSut5mK/+Zf vEg9E/7c4XUvU6f02W5Cr21iwtca6SVJUZyUH/w7fqWF0ufsp+EEXpzUmgqp 02xjgtOoRHYXjpP2/AWRUX8o/R9tEKyg5pfUkeU92McEyyGjA43VGNm4I7dv uZ8JZSEb6259wsiR/fvLswaZEHJEQ5CnmNp/HK4EC/1jwgYeuY1HMjDSP7pr qWqSCfvuzk2iyxgZkxjQemmaCTdHlefWnsPI50/E362dZULbiRc1XU7U+sVG vhELVH9fVUY+PYSRmwZejBuzKUMFx9d3dxgYObrdu++rsDI8rajr3H2KRfDs Fyz3F1WGS+SZeMM91EnS8km6Gk0ZGpyuXmhSYxEHPBptb0oow6a1jvrkyDLx ImFr6155ZYAHGkbJXsvEqQmOuso1ynD9hMPDSYclwua5QbW1ujJ8kePNbtq5 RJjbhnwdWasMj3xzC5yYS4RhDXu5+HplGBMZ2xX4e5FQecH2zlZHGX6NN/pk mSwSPXbY47mdypC+gJ2wUlsgHL4v+K4+rgz7P9s78z+aJaxv6J0vtqHiNx/S 6/KZJUzB/9zBk8pwTrjwsNfeWcIga97dx14Z2K9cPVA4PkOsCJ+zK3FRhr+M wLYxNEN0bZ8xPnpeGe7JNmVEV00Rdq/HFW9EKYMw/0mXQ2/HidNBRxb33laG ore/hJmB44TPkdxfAneUoZQRsirbcJy4PuUTGX1PGYIcZzlY38eIrM1zC/eT lWHKbmLkVv8oMVfC+vnkBcWXhW3UdpF/RPR3gYiyCmXonIxbSN7WSySkuTuH VSoDCv2gf/FDD5HmXb1z91dlcCneMcy+rYfIl4ie/1qtDKtPRXJqbu0mWo/R nOt/KIM3PfqsiHYnodolvbOzSxkqjVZEGWu3Euty/RTSe5ThR6p3fI56C7El tGXOsU8ZjPakjuUpNxPGqsmvBgaVYUT9dXeiSCPh5aaoMDamDKHVZdGWvfVE wNarc28mlGFza2QRZ8t3IlSws8F7ShkCeT5yutfUEXHZaTdnZ5UhbJ0Da9yj hkgN5HAqmleGeqtvf4zNq4gXhx13BCxSz/PlCmzR/0rkMsvlty0rw1t+/T2l ypXEhwmVORaLyl+TdXyYt4L4D+BJd+c= "]]}, Annotation[#, "Charting`Private`Tag#1"]& ]}}, {}}, { "WolframDynamicHighlight", <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}], DynamicBox[ (Charting`HighlightActionBox["DynamicHighlight", {}, Slot["HighlightElements"], Slot["LayoutOptions"], Slot["Meta"], Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {}, Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwVW3lUTV8Uvrd5nt5rHl69KJQylCI5GylDpjRRokmTkhSpkCZEg4RmVAgp NErcW1JCk0KjNA9K8zy83/399da33l1n7/3tb593vrPuU7I7Y+LIhmHYIjuG /f+ZfNmOa73DzW3H93kkHzrz6kNZvaKxhaILsr/ItYdUiSRY5R+CFRUvouvv sdHDKilEMhnB4FS8gT552D++vDKLOK3v4z7DiEe5SX8fpTM/EPULzrGjjGdI STfyxQXJaoK7pVN1mPEWBb04aTE32EY0ku99hvrfov4wJH7252/i+ZO4j39f FyFV7N2diJJ24oDXgRODO4uR4Lkz86Zf/xD3eIvu9TkRqK3BSU8spZMQS/rM NvarFOVJV8x06vYSj748OPuXUYka0i0047YME5NxeWvab1Wi0EbOx3qvhwlD p69d3+cqkYskR+MF1X/EEPuMWVH9F5R5/iFfrtgIoat/YMuNa9/QDX+xIG6v UaI2e5FNdaQGPXxU8vSC7jhx5Yv63vUn6tEzxbVTFrFTRMbrApUXd+uR3q9R v/yKKeJ73A72ld/qUYyq8o7K+SlihZNlsdTmBmSd4ljDc3Ka+MIeooHRfiDR MwJFrSozhIR+i1hN+U90uVNiefvjWSIr+0bLaY1mdHJOQTXq5AIxKDZ4a69t MxLg80wOCVsgVM/v3bYqthkJ2XmlqGQuEA+38j/qmmtGIRkKFz2mF4iYylun jn1qQUf7Rczwa4vE+a6oMSPrNsSqEZP7cX+JeGM4mroyqg396vgyfaJwiRh5 dsiUvbQN1fKn5kY3LhHOnqIFH1R/ox5xC9NOyWXi2FJMgPbEb1TL+7FIL2aZ eMD/NVh01x/0yvimxwUfFrFN39860OYPkkrgktWOZhGtHmraIxf+IKHP7PQ7 z1mE1Pebvd+e/0EvtX5navxmEbfjjPdcF+lAuG0B7qGIkeu+LCrNrO5Avm/y vuxRx8jqhcx5x50d6HnU+vBJHYzkOyGYufN8B8o1LjiRfwAjg1dWC7FaOtCP JYMXfRcxkmlxuc99qgNhBW6uOiEYSV7XIFuFOpHFlI+4WSRGLv6NPFu0vRNt OiKfN/cII33eHGzwedqJ2sY9e7rLMZLezcrsJjuRfszuLw9rMPKN+KvQI82d qE7yeP7qRoz85yuis16wC9U+MNVP7cdIJ1QXP+TVhXTu0y3VuHESS50uarnZ hT6rv/FeLYSTcRxyrV/Su1BJhE7bFB0nP1eeUnj2swv51+3dOaeEkyfVb6G4 EQqrDcmsW4WTs5GvT17j6UZ9L5PGtTRwcpXpYqrjlm5U73vHOmMzTpL5SmWm R7pR4h+/KgmEk5bSRj07T3ejFJHcBRMDnLz++7YqM6UbaY0+PaJ1ACcVtxfs Fi3oRuz+9082meBkYVqrC1bbjTwbd4zts8DJfmfVzN94D3oidN01/gROBn41 rqqS6UEr3o9s8bbHSSkNr3/FG3vQ6nXZNnJOOPkq+r5wpnEP2rRD4ettV5zc PVG8LtGxB3kkrDrf4I6Tf8w6D4df7kGsyv3m3Z446VvIfe7i/R5U4fTIruQc Tj67ZJJnUdmDjmHc7Z2+OLnjz4Wfhp09SFh1Jaj642TzjuQZ7YUeZIXCs3Uv 4aTX41KplfReSh+aqpJXcJKPp38zfW0v0lRPfVQaiJOproJW7Ia96EQTh4xe EE5uqdoQMG7Ti24YCd0KDMbJ75qWyR0XelECD99kTAhOusZc+lAb3YsMTzce 8ArFSbap1HbiWS9SuPEvXiEMJxMsPmPZpb1ocad5/X0KbygaVkpp6UXvzLLm 2ij8RY62M2KyF+kcXCMwRmG7K7oOAYJ9KCMxhq+OwvMdx0PdVPqQ/lWDqUsU jjEIfnIM9SExxQ1VM1Q8tacZFXss+5Dbmc472yhcxlvdr3u2DxlsPrvPhMrP +vQE76rwPqRCj5reQOU/WS2lJpnWh8ysrsb9uYqTt9ZvM+Yq7kO7VzK1raj6 V8Tau0819CF33T+1qZdxsnj6emT3cB9Cyx88CwJw0vRoVnY9Vz/K8DaXiffD yaF39bWljH5UKF9fb0TxH6IwN/Zatx+lD0+lffTBSbmrCrRHh/uRhA49RoDq V27XTq1o135Ud1fyCZPqp7Ghi9mV4H6U+utSPyfV7+6MyPMeSf0opcvSLt8F JwP4c+8fz+tH+Q8OyGudwsmXtctNen39qEOYM/C+DU4ablyxsAYbQI9DJvUv HcPJ33f3yMlID6Cdg1Yu68xxUsgq1mZ27wBCqwz1WMY46dGzuis3awC1JKQc AF1KXzZNPCWVA8jFvNlPfANOHmm8rlHVPYCOPg/IzlbDSd2vfRd7ZAbRvFFg +EYFnGR//VhE4togSg5ze+CP4eT5NWabmKmDyGvzlkf+sxjZn8ZhrfF+EOX1 THluH6X2m3v2Tw0nBlHhhR9/FdoxMi5AaduFE3+RAiZ7b0URtf9M19oH+/1F 7FMfdpu/wshLZwJvRN39i0ab88kDTzDSzq694enXv+hYyGx47G2MVN+d7Nao M4QUlH75X3DEyBKadPxmkWGUYm3QVcyGkVoRnz/sUhtGsh8UTjUNsognXL7d hw2HUdcTo5ivNSzi1txPTdeAYRSI/nC4xLEI8/bY8oT+YXSlJakhZgWLGHwu MrlA/kPvTu/qml+1TFivIKV5Wv8hvY2tY6+5l4ma5DOIPvMPFSo2c7L1LhG5 0dXh6mtH0Af3K4JnHi0RV87fUjoeP4KQq3rsDdoSwacUotquO4oc3vu/Uu9Z ID5vva15edcoUu63mjQhF4gwyxQdeZNRtE9d30wlcYFgiy40snIbRXs0pdV+ Hlwg5peHnH4lj6Luf07XT+XNE39bzTJq2MbQ00Opq16dnSO+xamuJr+NIfvg F1FGb6aJ8Fyt9SeaxtAXyYDz88HTxO7a7ZuXe8ZQjkmSvKvZNFHGbb1nK2sM iTj9abo6M0UUn492KVw/jr5s3H42VXeKeGk69+zVvXE0fCDn88rsCSJS5Oua RycnkIhK/xejs6PEWx35vAMeE4izRPmYps4o0W1zBi36T6Aqo0Dh4rkRQu8l zdTi/gR6f2Bfp6rwCNG/x/qSYDX1fHiW1JjWMLEzeLjmot4kYnqWBBa4DxCz U8I+JhJTSM3grlf5gw7CrsWUYP82jV5/Emzf7P6E4EvscD/bNI2ElHx0vr1P It4c85Br751GR0pvcF/bfoNgb752sQifQQ/6fC/fj7+D0huLNp7VmUGzzRYP T7Dlod4fihm/U2fQ6suMx1WxX5Br7VD024uzqGQstfa2dhsSi76IVK/NovXZ JSdvrv+Nig5y/YuNnUU9OuPNCmvbEX8NY59nNvX8jd3M4Nt/UGaVCadqzyy6 LqHNeB/Sif59KbwYe2gOPc8I28F/ohed/RRid0Z1Hk1eczpL/BpGCt2GXNMb 55EQJI3bGfxDX9l4nwfAPNq2EVxevvqHVkLE2I2j84jNK0Z/w/UR1FR0NzD9 5jy6d0bn/On4UbT91ZOUppF5dKDp/JOyLeNINPFz887CBaR/p4kUN51CH96G X/5StoCqTtF3vAyeQm6NxszDdQvI49ZtX86cKfRJvM7FZnABZR8faZwSmUYX o5tmfeUWEV/wv6MVldOoI3RQIitwER20Cvcs0JhFrz0FjkjtWUJlgtuOGZbO o28JtIsvzZeQvUBquPbQPOotk3mww2EJFZzlTqgQX0Ay0qv/nr6yhKLKByS/ Oy2gkJJdwSV5S2hgY/fKs9yLyFzsSo4rcxklqLb5ndRaQp5bw5pYmstoRHyG U99yCYWfimDF6i8jp/RDwrn+S4goStxHWC6jVafdc86ULKFV9oVdtKhlpA+B a0V2L6P5nDHa+4VlNOem23t7OwvRf89uNuFlobXG7F3tNiykwYOd7JNgIckV 3NYl/ixkby2UKbqBhcLf39PSz2WhbxxqBqecqedMK2e4RDDo1djguuDDQofe 1MdPy2GAHd0cHR3MQr2n5K9krcZA+6VRa1EKCz0Q2uRwfgcGKWYO3sI/WMgl 8fis7VkMCq+4JaR3slC/IJtwVAAG9c+8yM2jLLQ7WVch+BoGHFeA6w0nBqYh d6KIJAx06w+YtCpicHt1d2VoGQa7nE16nqhiYHsx8UVvFQYmS2a+ZzUwuOIX elrwFwanVY+ncG3F4H6srFBmPwaP/N0G11lgQB55dHMNLw7rSN7Za8cxYKWM XtMVwYHkyOBst8dgdYAFjSaJw5+IbsUITwy6L9mGrl2Bg+f3II3u8xj4Twcb uK/BgSWhtFXvEgZyiu93XlyHg8LD4xYDNzBoKVhRNKWHQ1b3ggNEU/GD3wid 2o6D/uoEr/v3qHjKEjaphjhYv/kZsSsNg7NHmrIuH8JhaNo7MekZBr9rLsco mOHgr0d7NpGNgZVZmHb4URwSyg6WPSrGYH6cL7TMFoc1vP/qZksxEGYWSd1x xOHt/lvtByupfL9rblnrgsPumDXDT2qoekSjf8ecxqHx5+f5pR8YeK1MXvh4 BgdnWSces1YMaLkF10gvHGZOcEpkdmKg0Pz74nUfHMLS05TZBzCI2f2qUtYX B4mB7euPjWAQd9z5jJ8fDk/W/tn2egqDUb1O+/QAHLS9LhvzLGLg++f+w/jL OJTlyx07wYZDk3Yq41ggDqYLRU75PDgcUnnb0nMVh2501EdQGIekFxtrtwbj cC5kJshBHAe+Nu45mxAc2CrvRr+TxSFt4YuJcSgOMYJaKWJMHM4HvG7mCMOB afL9hcsqHLhFoyKvU/j1Pc+3pAYO7S9/nv5FYWgRqpDUxmFjVII3dT6CWsbL Bg+qL/l6tx7/pPBJh32dn6i+hIQussIoPJIxMCK3Gwf1Gy0hbBS+PHxt6dwB HDqeF2rvoeILbVDh/2qKw4fbpXQrKr+U82VSTCuqr0oVK3Sp/Ne+s1O5SPXl redGF+p8BMUsTKvWidJFCa33CFW/scGD7aoeOOR60h7GUPy0Xtc/eNkbB8Hh gKQkij+3qhbrHxSvommbO85Sn/Oifq7q1Dqrhuu8xSj+w82lfIOv4RDFOm1z meqPTGJ+aHMEDiXfax/nUf171m56Z30slaeA3ZFCqr+fnW9ntT/E4a5AIaci pQfLl5rFm57i4H3bRiGU0kvfWFVlxEscPr2bKsuj8uby5+vRK6J0fzN08CKl t3tExngMiYNhyaEgQUqPKzmMsMFyHEI9XzedpvRqEBEsG1ePw5n1KaxISs9B DxYPTw7hwLvV+4cdNQ+H1hWeVZug6lnrzeez5n8ezt22m8PhtnVUsBk1T0Wd g7W1nGywLjD5xlVq3sZXNh18qcAG9rB+7toCNaf5sWe6V7DB6i3rTwhNYhBp dChKVo0Nnj8deGI/hMEal4rqGzpscHj+r5Y/pWO7zLz9pw6xwek2WuvJIgzW 6Z91TzZng9DH1a0nX2OwXKUe0WDNBocKPQPXZWCQMJL2bYcLG5hpesuiuxh8 3xCzjxHEBgdFUKacOwbb33rsacxhA84VvscnaBgI7V3jIlzEBgFXxjYtcGPQ 2txz3ZBkg0d3dLY+m2Eh30Xrz7nf2OC3fe6uuU8s9ArtM7rdwwaNFgb4Pmp/ VSxX3bVXkh1WmM6tnr20jP6ZdzlclWeH3nLuJuuTy6i4LyWkUJkdfhwdDnXZ sYwseSXKVNaxg81vU+0AzmUUbcyxk30PO6RfjHwSfW0JYfV/oNiPWm9TR0+5 /yIKGfjwyO8qOzgupis2my0iXiyZbfN1dqj8vi3/luYiElt7tCzvLjvYWnxb qutYQCuv1Rllv2KHI5434/5uX0B79UoPpPayg/9S5kD96By6k5Zmfd2EA1pe k1lXBGeQVNHV94ZHOeCm1IjGndZplFR7QoHzJAdgP07kWb6YRk+WZP9cdeeA qY2vfBaNplGhRay9/3UOOJ72w/btpSnUyh/q6vGBAzoPOEo9aplAKt6nfE3X cIJrI/2hzKlRtHZL+5EH6zjB6H3Li5R1o0gLs9Qc3MQJ2MoKo56pEbTj1p7e Kzs5QZj73ktphRFkk65u+sKaE27t+fdax3UY3WsY12SL4gRRyVwJx/EBxKl9 pS97ghMsd43/Svjaibqn7pvzv+eCTCf3+SYHAqVu33iu7SMX5Pk0GD848A6d iKiOyv7CBRc4Xllw6hag5hWclUcaueChOGt/Ey0L1R3x0kua4ILT7QozQQY+ xIfXxopr13DD7MerVYpcJcR9d3zwwH1uUOzVJjJLGgnTt0lcSincILFgsf/A xyZCjFNXeSKdGxqUd87cLWsmIpM8rO+/4QbHJ2NxvOWtRMjXlur2Km7ofHxN VsTuD+G5Oj/Hk4MH7NdpO2Fm3cTeHtdLMWd5oDDjbMV+tiHC8JJypoEvD/i8 XSs1f2GI2CHe2jx9mQe+yR55aTg8RGzZtV/X6hYPcDlaBBT9HCbWPNacUH7K A55p9s0d6SMEv+Okc14rDxx3K3zncW+M+NZ9ybTRiBc4h1ojU0cnic8Bm4LD D/ACXcgpTWDFFFFGH3m91YwXzpolP9S0oM6/BieFH9nxQpbq6ifJxVNEZvqO Ly6XeAHHS/Zyh0wTEQ7csPCGF75/9I67wjFLHOiOVlNQ4AMBRdbR7Ip54pta d4P1Cj5QkNssrvNvnth3Tudy4ho+ePXPWcCTvkDsZvtdK6XDBwftTo1OnFgg diiqnacd4oMTcWMROhMLhLb1J5IniA+mbx1WOsxH+Yk0KVej63zg32avW6S2 RGz460YLi+SD/Q1cy1XGS4SGn9gp9kQ+wBZYYpMRS8SquBP8yzl8ID/fKLBO YJmQa5gzm+jhgzZ7+WrJ2WUiQXY/a/0QH+hq/36I0VmEtP3DDM9xPjBGkpGR mixCYtxwYXiZDxIZD8/HObIIEZHYh/2S/GDz6/iYVRWLiLTo26OqwA8nNcdx x14WIfhgy4TjCn64ovb4kwiLRfBpdOzqWscP3xbc0p5KYiS7scbftj38kDVT afRqF0YG3bkaK3eIH5Y/OX1+dwgjsZYGfStzfjh1gO32fSuMXHTxj2604wfL K6/8CU+MnL72Wbvenx/eNGmfrIrDSO8a2XbRIH6oRZrlFqkYOSFx5vqh61R+ M96hr19g5Ohj8ZaqWH7o2y6c9v09Rg5+tAv8/JIfyMC+K58pv8m43egamcsP Dw92cJzvx0hTmwNmpu/4oVXs4PEByp9+mN285s9nfpCQYhNXwnFy4lM2/UkN P8z3+23t4cHJVXdWstx+8gP7rZoKDxGcjFkr2jDTxU/9Psmm1VF+uGI+7MP7 QX74mxpT8nwlTi5WLGYEj/HDv9X9f3ar4+Qpu/5Lwix+cBDpqain/Haipo3z D04BMJxzcCC34WTtYr1JooAAPL3o/eKsAU7q3SdUVWUEYGw6/6/SQZz0dNAW G1YUALNYZVLRFCefrH+x+EZVAPKv35nqssRJkW/36rZpC4DANWJHgS1O7ooX KObYKgDN6xS2VjjipN+poCdfdghAbdOno4kuONmNefibHxIAzUDB6ihPnJSu 7nKUsxAAo3RC4NU5nDyQePRQ53EB0HJqR7HncTLYuWZLhoMAdPD7Hd96EScL tXet9HATAI4oN+sMf5wcZnsnrOUlAEnlNlqNl3CSWbtufs5XAGIvV7V9vYKT FslPuokrAvAsBjMJ/v++xVWuJjRMAK5xitxcDsLJEp2Yt/siBEBSvCtYPwQn pzl40kVjqXqM1+nC//c73y9F/koQgEfRl9K5wnDy5IMJ3+RHAhC9TrE8msJ3 T7vY22cIABrcmvj7//ukze37V2cLgPJEBXOUwiwuM92RPAE4uhBi/YnCWg1f mHnFAuCjwb3HhsIuj0DQ/6MAhK9/PVBExUvxyJ+BLwLgoJAHLVQ+9XrqnVx1 AjDnTz9MBOMkD2/qt2+/BEBc66GCE5W//k/JgpjfFF9hsy+/B+KkV1rEI8se io+ZWxxsVP0Znuy3FIYE4DEkrZoKwMk2/Yvnu8cFYLuOllKmH06K8Y+cfD4n ALn566dVfHFyd6PDPk9MEMJC4JWjD05eetysvYlbELI3tFg6e+HkG69DiouC grC4vHde4wxO9qFyvlK6IDzJfvrgrRtOyglunbomKwhq7r9MeZxxMuyp6hfa akF4mXaQOX4CJ995J+c2aQpCZrOreYQVTo5upz14sEkQqrcs1w2Z4+Sx1uVz agaC8DeG58+sMU5GPfO2GdsrCKbcH2IfG+Fk2fnB3QWHBWFQ1fmHxA6c1BD9 Kb/zhCCs1uoyMtqEk70RvUF3HQUhLvC5/Ll1OJnMN9PX5yYI8tOu7m5rcFKA Q+rNLV9BkJx+/7FEHicHp48a/rwtCJeLnrtxs+Fk6jnXF6viBGFD/7J6/DxG Hh31E/FPEQTXuHze2XGM/DyQ2Mx4IQgBZnZn5bsw8nFrm4dLmSB80HJ+wFuC kdZH/9W/+yIIyNmpjasQI+k/l3WF6gThykaz5bosaj+qYbDntAnCyNNJi++J GHmy1Pb+4rQgDLwvvXP5HEbKZfQQUauFQL35xcmH0hjZsGJ6RaemEBg3XmUL F8TIm4+4wrU2CcHrN8ZhO3GMnE9QNW3aQbn7sMXI/bUsojHCpZ9pLQSRV3Jy HJxYxJ1zwyL5kUIwGPCyEA9ZJvaOLvnw3BWCEz17Vk07LhNs7kItxxKFIOwV r1+U0TLheUrzMeupEOARwevf8C4TB46e3bynRAjcFO6vKb2xRPChKdvWCSF4 V2cTYntxkfDdvoonf14IbLXfWjWYLBK9O62yonBhsGwoCulSWyRKd5fM7xAW hrIaGGtsXSD8TCLuPFsjDGo0uWuaWxaIv44rP523FYbyV8cS+LrmiG+3zFaJ 1gjDGb51e3LGpoktUderB38IA9dynlo9MU1k3H7nXdYqDIbr+JdTI6aJkHtK JRcGhUExntQ2WzVNKNROq4+wiUDexU3XJI9NET+bSj+ZKYiAyLqy+pzsCcJo +NgM00wEEq9e5wpcNUqk0IPrr1iKQMfp6G/rf48Qk3ovslutRED6yXHPGdcR 4mH4gtM9OxFYndVx1SD4HzGvmtTI6ykC12VCe0Syh4hMu7a3o+EisCVavK5m sp8QaTwR8IEUgc2SgUwhgw6isdQBP6YuCmnh3PZP2tKJ0e3NMpc0RWGvsWLh n8wEgrvkoNbDDaKw5vNI7b6t14hNxBanXl1ROEPzXxV+JQbFvhOp8tolCjzw ov79yxx0MLc47qaNKDDMf7zobvuMyh/T172PFgWFO3wiw6Yt6PeK8D1/7ojC xwoTLdr2VjSVxrJjvy8K5/hCh3vU29CK1MG7e5JFIaP8ybYw9nYUlEIu/Hgm CvH2yVs2mnegbfdPV/wrFQWubVG/Vkx1o7zrZTaKU6KgTqivZGMbQhl7v0pd mxWFIPbKtREXh1CCwPfvwwuikCNx3D5vdAgFRrcbvmMTA1v+xD8/24aRcdy8 hrmIGMQuqqH1OSOo8+k61k01MQg8eOq+Z/oYEqpIejBjKwb47t+8BXxTCL+R dtTGUQwi306fqdo2hSb3Pqd9chaDfn4dmQSvKdRUXXAt5owYkKel3I80TaH0 n9/PrL0kBpacn1M3pE2jLb3UWS9ODHbdrz3Lv2oWneL0+VNdLQY20aKFj8bm kQyj8tdCnRgYe54vvSi1gKp15WtW/RCDtpRV9axtC2jT6U/vg1rEoJNPbxP9 5gLiqhdP3NQvBpU91lcPMxbR44f5Zik4DWSWr9q911lClkV8+79y0KA569Ox 7UeXkECDjcEsNw0M0i2un/ZbQt7c3BtNhGjAOSw0kf9uCRl4WIhwydLAVSjr oOiWZdStN/vFXYsGUcmDYzdWslCcmXFpgg4N2C5F3TTdzkLGZx6+rdhCg4z2 jrukNQvlpu7OUNpOgzCNhtf+MSwUwhsf+mM/DXIM6rf4zLGQrvJwANthGtSt WN6hxIvB0Nbt3pqmNOBrbHWwEMfA1HPA7sYxGthmGoSvX4vBil+bQd+JBhta knzij2HQOBqh4+pKgzM8tjRfRwxu8XVq3HengcM2MYmVnhhM6ofLj52jgfK+ h5UDIRiUpTfPpwfS4Kv86jCZTAx8P2iM1wXTQCNpocs5DwP1xqCB5TAaKKX9 yQ35gEEsv1qjZQQNtIphx4paDOy9/PMEEig+g8PWYmMYbNrwO291Mg18Y3bO RM9iwDcO+YYPaaDDKeI8ysLg1VmugsAnNJAcfzwgI4RD8HqXguRn1Hru2+p6 6DiYj30tKMqkgcunEMErsjgset4unHxDg7eqQzpyq3CoWTdZKJpPA8fbJ3BF DRxSR83farylwRiu8nNsIw57POWKnAkalKtG2LC2Uf79zNN3rV9pkGf+WYs0 wcFFk694rpoGh/n+pGywwGHryOliie80uNHQmuRlhUOXx4b3hxppkDDzTNnK Hod8jbvv3VtowPL3v8vuhEP4v5n34b9psPRKy/2iKw7rPN5/KOum+Fd7o1Ll iQO7hiLR0UeD0kyR6efncPg5HEQsD9KAFnGTy/w8Ds9e9hCy/2jwO+nkoWpf HALcd5O6YzR4f9j2G80fh4NrX5BmkzQQbxk/p3IJB+awYInXDA0MtYW2c13B YTrTsyRqngab9EAjJxCHytP1JZlLNFiR/2zT2iAcktQ3lVZidGh0Y5l5B+Pg ORRX2stOB3m18OvXQ3DYmblQys5Nh8ifKl9dQnGQOG3zUZGPDm/dDWWlwnAY UCv5qC9Ih+v0f+fvULj4r3LZMRE6CEgXtLZQOOpFWNkFGh1uzFTv+/8+yc5t oCxWgg5/rGc+1lNYW83402tpOmxVDdsVTGGev1mfquXooOToWMei4rU+Fy3/ y6ADYUJz+f8+KdvVu5xHmQ6JZqlCJ6n8gtb8Kl+pQq0/XVi2k8rffHBzxY7V dJhpuh05eRWH1c+TKk6o0yE8f+GMF1X/ogurIkCTDnx7j7q/v0zpY7Xd5/gN dEgzfnTzRwClj4Gyz/nadPC2s6kt8sPh/DPVynpdOlzgz97uTvG/xyW8clSP Dq9u7+od8sFBbvVwpSCiQ8GU06fNVP9G+w9+WbODDlFNI71HqP7ecxb/6rCb Dia7fGmjLpSeVvl+vbqPDvF2guu9TlF66m/+mnKADqcm1+WX2OHQ6fTwW6Mp HTiKHjArj+GQp8peNWVB8e8upXTVHIfrfY5VYlZ0eHPYL4+L0qemk1q1sS0d WKtSG/x24/DbhXHmpQMdxjgPSMztwOHWaZqIkDMdRLnjd23Vp/p1duFwjQcd rlmfLBZdj0Oc98i4phcd2iSvrE1fg4Phha470T506N90tX1BGYe0gK8/DgfQ IalL2m5BHAeTK8T5N1fo8Fgq0S6NmkcsKEeSFkwHFesGdlFuHI5fSzzacIMO wVyt0fozGEjGuLWZ36cDf8Cnlt8NGJTHnrhckECH8lu0rvyvGHjfP8KQSqFD QBLD06wUg7okPdumdDqYn01J6s3C4OZT/h6rN3RopxuOW4diwCp+MXSyig7c hVZP3qpikEU8iCippYMQTx3BJ4uBdekdDWYDHazzkt+tEMLgbYW/Z1czHbR2 ikk697HQue/7Jh376ZCleUE+3JeF+vr+Lriyi4OYhKJqftgyujfYnvSVSxzK nL20Hp1aRgbD9frqfOIQUuqju8JwGT0af3dlWEQcDnY865xgX0ZWSzfZPRXE YTz3LSqn9v8aMXV+n83iYKYrEfPAbBFtc3cfSNwqDsvuH00b1i+irIqsilIk Djctu0XyBBdRZMD6EBFDceBXEF8ZULaAjHs3Lb0wEQfp8fOkusYC+vJ2+0in mzi4flNb8hufQ59OWtQfShGH4zFmqeI7ZpDWu7jXFx6Jw6GE20aZ9BmULt4c lZIuDmttvykv906jkC/WxkPPxWFDX2zqj/BptEPL7tO1AnGoPTRdbVczhUhu 94IPteIwOHGIftZ4Er3LCkpUZ5eA9ZNWosdlxhCXsZnMfS4JWDwzxsb6M4oO D6jG43wS8Iud57fj01HUp1x176eIBOilCfqGbhxFtHjJmEAFCWDPfz1lEPMP uQVnXm/YLAEX0tdaifwYRLKWP30CPCXgna7asTuSXcgfX3PoW5sEeGV86T4R VIB6DfgbVTokgFXd/bAnIAcduj504mq3BFgWeeoe+ZeFVghnn9n0VwKSv/S6 hmcmo29yWlEPZyXAWE1rr7nVI0JBd1u1N00SiMEfFhvcyohSDxNj+T2SIGIn GGm7upnga/Xb7ZErCeWE2lK/yxCx6cIzwagCSSjjGReP/DVE2Io1fs8ukoSM nSmhvw2GicLd2sfHSEk4clvVKUDhH3Eqb+Ssd5UkvOb1OHqjaoQoiXRI9OuV hJV3l/cP3hqjzscH/oVJSYHwrZ5g59eTRHprQM5TWSkwiN+gUdYxSdRceOH7 WUEKKr5N3eoUnSJUsnjY+VZKwfm3CRsdz04R9TIfJSPWS8GMx512r7XThMak zvY7e6VAVDl8WCd+huh5ohT7IEAKNridMq7XmyeGQjrm2AOloOHe2q7GU/PE uN2jE87B1POFsubBt+cJjKGktj5cCiz2h4WU9cwTMvcVS0vvSwFfwrR2/40F 4tA1xmjPGymYf/796RZykbBwbDfbmy8Fzs83vt3Xs0jY7HzwLuutFNDDKvjm eJcIN5bCtQukFIR6efqomCwRYRcUFHirpUBGXavnQ9sSUewkb6w+IAWH98vH Xe5YJj7uansdPSQF+oUCprIYi/iinCw5NSIFIpyaAvsVWMSvdrmu99NUPW9v 17kfZRHjFnJ+BzmkgYO/43H8FxYxp93ansMtDTslnTXqe1gERk/aJcUvDR2H RfcfxDBSsFZWtENUGrYXH/3hLYORq3bLZngxpME6ZJuvsjFGaqq0CP5iSsNP sW3dbJYYuYkj8ZyeijQITP7qfmaPkTtJGcSxlsIqhewH/DDSRlfm590t0uC+ UjhoMB0jHSWa9eb1pWFc/bwFWzZGnp6Mf2SzXRosfFfe/UP5vYuvpN1Vd0sD ZtZRMvIVI2NXSXO8NZOGsVvylmYjlD+0UXnaZUl9/8aoUHQGI1fEbtwrZC0N NgWCIonLGJnL2h9tbycNCtctjemCOBmgbbUx0lEaPBOOcHLQcdLAzflnobM0 DCX/siFlcLLhZ5Cc0BlpKFHjTUtRxckkgWhC10sa0jbjTuRanHTYkWxn7yMN G3MlL2dtxMnJlwUZhf7ScOFQh83INpykhQ5p2V+XBlbMZ3m2IzjZXDT3K+Km NLy8av4sxILyw6Nc/oWR0pB54QRfPeXXN1grlQjelQaGUbZ0vT1Ozt/WcNCN k4YtVj3ZIU44WVqhx22fKA2WWj5/cTecNNlovr/wkTSsETdYfeIsTsq42I92 pktD4jobKeSNk50pnncEM6j1vK6HDZ7HyecNlzbpvpCGP5zv3Gwv4qQX380m uyxpaGfcItP8cXILxAVEvJaGPWLrLr++hJNs5x8zCnOl4bftxZTwKzj55cWb 0s4CaYhubJTVvIqTMR2Eo+A7adC+d3wsJQgnj0lW8eh+kAYXRp5MczBOMvc3 v7ArkYYbrmqxf0JwcjCo70BEmTS0Dj4/9iYUJ98UTo4VVEhDU3yx28EwnPT7 h9/t/CINt5avfSqg8I4VwrqC1dKgvrH+1F8K8x2Ta9Gpk4aP/WwHByn8PWr1 ZbsGaeBxkbmc+//7SJ82KUX8koYD995N7vn/faOFnWUFzdKQPqCS+5yKt2b9 YafONkp/Z/Q+/KTyGT9lwyfYIQ1txHnxairfoiS3lzrd0mCwMFkcTdUT9N33 kF2fNAwUexYqUPXu5QmbuDUoDfmiOwV8KT5Et925VzAsDeWu9u+TKL4azz3c 3DkqDecinepuUXw+fPayVWBSGsKuBR/YTfHt3F50RWdGGu7G3NCrofqxTvwz 025eGs7zDj5Qovo1u/fHp1tL0tBrnBOMqH6SgZ3OBZgMGGXeHlnlgZOHhhaz BLhlYA+3aagNpQcpJp+JDp8MdJs//vic0ssfC8kpW0EZ+Kfe+6b0BE56flyv V0CTgdT6hnozSm+6c9t+d0jIQExRs0KdCU5imsZXBWRkYCdP4H6pAzgZnXCq wlZRBo66SkTxGeDkhfNB5wKUZeCpnYNSHaVnG5MUxn0VGTh33LnJcTNOqvP9 vPBNXQZep3ydm6PmofLirlU6m2WgQYPtZzU1T6/MbBsOb5WBt1Uip3n+f79v /aXA00gG7iW15Ipw4+SpgdzGR7tkQOzsp+yIWYxkO7rihoCJDDS+an6k14SR A1qgrWomA2z8DYrDtRhZK2Ldsd1SBjKXNNg9PmPkg893Nl+wkYE7Uj9Mf+dj 5FZd9sEOV2q9JeFl/9sY6SPZubcgWAYsDldSB2dqf5hYmq4Lk4HJrpE1vhsw 0qBGOm3ohgygZ9dLllQwUuza4QWlaBkIFji8GCCMkVnT5ItbSTLQm/qnIaWY RfT/eCBglycDIsWz7RW9y0TN63eFAYUy0M/VXXbhyzKRH/HL4f47GUiX3vO0 +uUyEbJL+P23EhkYERt45XVumVDKu+yuUy0DyTv1VJLnl4hjscerBfpkICTz 197K2UVCLodP1m1QBmyqih5rNiwS7XUFTpXDMiB5zu3PxuxFwkFYDA+blAEW wfNP0mGR8Agv38jCZcHJ8ECgdeUCERSoGT8mJwujJ/ysjYPmiWencYefJrKg 3PBLJev1DHH6ZtYrLXNZcPz4+1br1RlC47nVUsxRWTBWeD1SdHiGeNOXd+/g SVlI3k3fGj46TRTbuVZ+dpeFzvIZudA100StZb3Gu+uyoPFhFRkYPUnMGjye e/BBFmhrJFY6rx4jAt49CC4rkYV1p3pDX0+OEtiGBMGBMireYfVnn4lRgpsR pbThqyz4fS59bmc2SkjM+e4p+yULe2PZK14u/iM2vjSO7x+l8m8/fyUu6i/h IT6pu15ZDvZbXhz/4tdNdPXs8C29JgfxtR+s/n4sJ3Y8qE5dc1MOjnp4mmwo KiMeWh6riomUg8fOt+XWvyolbL6eZdrflQOGwP6VPZveE82vHn5jT5MDq6pU 2XXEM+K7/7Lirg9y0OE/n9Vcn4NKRYsqKyblYIXpBrvHW36gVP31slW28vDh 0YfMc5aDqPQAX/CCgzwAsyYqsHIQdZ7oGlztLA/HEqIVtm75i5SD7haFecjD kV38fW9lhlB6+dxR8JeHps7B8ee/htHjg6VxObHyMHq13kPh4SjKsD0ikVAh Dz2bB+7d7ZhAn73UL3/+Ig83u/+Uf6JNov5gzt7pKnmgoW/4212TaNWTgrwj DfJA1sRv6c2YRM8GZc0EO+SB65fkoX2np9Dzc913Aufl4YSx526COo++DPUR dVqrAFPIzNHryRwa2no8KHSdAtAqvGrka+aQ+qTBRNpGBTjordN/aWYOPbej //izWQG+HNl18JjRPMpAOXHHDBVgcJjL6ELXPEqfG2UcOKEAxfxetu0Ci6j7 VWP0aTsFaIsfcHq4bhEpO5P4TUcFyNlzeI2w6SJK/RnVVeGmACMPDA0n4xfR gxyNp9t9FSDhpGpFndISSnA/raF9WwEKvcUvhCgto+YVpg+OxCrAMVBvHUfL SLpVT8TrvgJEzpjO89gso7i9/ONZydR6R1+wq8Uvo7uqz/NWPVegzp/tI1v5 Wajh920Vo5cKYGIw9a5dhYXo9y7ed3ylAG5R2g9Ud7BQDMeei6n5CjCcX+X+ +AILRXf0bZX7SMWv7S849JuFauNqXm4pV4Ao1pNS2gwLCR8qUDhaqQDpygGl xdwYRH4Iw+7VKIDVjDHfPQYGtxJXlgm3KkCKRcOQ2H4MrpnZ72OfUoCvh5ee ST/AIPVgq7XjrAII2m2R3/cMg+I9Zh4VCwpwt9rKamcOBuP6RrdvsjFg6K7y q2vllJ9SUftFE2GApkrjWutBDC4opvf70BiwpDnsQI5jECMjP/9LggFBmS9d B+cxqBASlk+SZ4CnTaNXFB8OG2bG7VaoMYCXNLwno4rD/jE37zANBiiz5x1/ vhYH57/dof3rGfB9IXQ1ayMOye0/MzJ1GeAerOI7g3AobDpYJLSVAT1JrXUJ u3D4Xv/5qydigLrQxza2fTjwfC76p2XIgPdCmaWKZjgol27E7u9hwHX6uO/P ozhsK84UnTNmgMvPkcRDNjhY5q9UtjrEAEc2Q7koym+fe5Wi9f4IA6x47f7e pvx45HNJQ4YFA0QOX16wdMUhIz3a4uoxBvjap6Jud8pfxwX57bJlQEgVU8vI G4e5mIWbTx0Y/987VStcwIEe4Z3M68wA+VL1s0UXcdC4Npzl5saAZw4YTSYA hz1XT5FVHlR9bL0v9C/j4ODfXqfpxYBtTqFaKwNxuOxj2XXbhwFqCaZPaq/i EH+mbnLClwHzE/cXUDAOuS57ucwDGPBtg53muRAcauw/ShZeYQDtZqy+aygO g8e3rpYJZsDLvN/MlWE4cFjmbQkIY8CBhQ+taRRmmGgY/77BALp+kEsvhbcY Pz0OEQywm9/5eYjCpoaKZ1KjGfDvyL/ZfAqfgfhAjlgGCApsWTSgcPgWsZhT 9xmgG5JVf4+K91jrZtrnBAZUFzy6mknlQ2pw5K1JofqtpcsbRuXbvOpS+a1H DABBRw/lIBymmNO//qUzwKhuIC+EqldE/szAoQwGqF4w73lG8bFGsn/+zQsG YMa87HcovnaJ2gqIZ1N8tGlIgB8OJ/mb5S+8YUBie4nKa4pvP84jmk15DPCi 39Tvpfpxl/UV9N4yoG2NkkP7WRxezRmYJBczQOVBf3qSBw5fJt7bswgGcNyn 8Su44dAzvMnH9iMDVr97lGrvhAPWnx32sZwB4kInfd3tcdBuffTsWhUDsrA0 8epjVL4azrPZtQw4xhXqdN4ch6ErGkaN9Qz4ZJr5e/AwTs3lu+5VzZQer346 p7sbh0CfqxsPtzHgVldBluhOHKwrjIIu/mFAr/7o7gJ9Si9uDYwvvdR8pf9q cdqAw2hxgsf4AAOczx6b9lLH4ZuQ7XuZYUo/pl9y9qrgEPJm+JjbBDWfSrm2 J6VxmA9g38eFKYKtAWeOyhIG/Y9PeSXginCXT5QvfgqDn9WV8RrsiuDKJ5nR OIzBG8XofnMuRTjK7ShBtmHgWiYX9lRAEX48Pum64R0GTfybSnZLK0L2/jMH i09jUK4V398qowhc/fv1he0wyD2+KHxWThH8VrqqrbfAIDq71CaeoQgCiaPh nYDB7iMHFwdWKkLhNXVeligGhQnOOjc3KEKan11jgDkLPfn41YahpQiHgg2z lPVYKHZIIyxHWxFanizKujNYyHPbVEOLriJcCg/kH+hdRqs6r3qpI0X4Vr4c FXmW2m9XJ76s2qcIR6rWWv32WUKTE4aPg/crguzfkEgRkyV08MN40uaDilAS Vl/esnYJcR3Ze+uxiSJU3HIyQN2LyCdgzvXSUUWQ6dyUu9t4EZnUWKxa66QI 5n+4xlp4F5CADz3tVpAiEHr7eZa3zSJnRCbsCFEEq133ztkKz6KPvKdjZkMV oftI7nHP9hnkl/LxqsMNRUhOlT985/IMGqjwOrk1WpE6Lx5ywt5Oo3KZOvmh ZEXIKT5+S4Qxha6QEXH73ioC7/UT33nzxtBgGxk7V6QIW04sTm6/NIbMFyai nxZTfOa4dm7bNYbUNx27wU4qwhP5ZXp4wyhqfKHi965cERxFFCKm/oygDfcJ K7UGRZCn37P+vXUI9bqPKfCPKMLxZOkwtVfdaL+s2eMvK5Qg+3Rkqt2ljyiu W4O0UlGCzFe9x+WTS1D3S56WIVUlKN310233RQIFQLGIsJoSXJOxyrWcLkCZ jsoBR9YrgWWsSyhnyyPE92rMpFVfCXLsjkabqOQRFQaR2D9zJQgEz8G9OxqI 7R4VVqI3lKDGZqdw8fN+Yr5xwLAsXAksvErlclYMELk7BTZcuKUEezMI+pGU AUJF+jBPW5QSlMu7rrsWPUgIlDXnZtxTgjAJj0MxnkNEo/Q/QUhXAlF5d8Ue oVHC8xOd9CCU4ITpKcbv6AlizTqdF0olSoDtrbVtK58guhKO3msoVYLNOqwV cYsThLlnyukt5Upw2kDfUN9pktgqu0qaq0oJnoWv/7F+8xTBc1bPK7lZCXbX 3rJVqZkmHsjZrfg2pQT63rFeoR/miC0b1TTsZpTA9uHmyty+OaJhz6TO7KwS rHaXH7orMk/wXAjbt2JRCUpo/5652c4TnnXPvQLYmOBNkyixYM0TEDZBqgsz 4bdXpMVXtUWiOan4S6kIEwZMsRftBxcJ75zQBksxJqilJ4alnFskMv5I9oeI M4GIz1aVKVokRPW2CrfJMsHObTx4accS0TkScjxiFRMktjQlyxosEwFcB5yU 1zDhpEKNQobdMiEhL3n2rRoT1pgl9jQGLhN79z4L6dFgArfNtqaVxcvEm/Sq F/raTKg56vHYXoNFGL+7l1e/iQkGE3sTePayiN66E4SLLhPctYJlDjqyCBnW 2Pe7ekyAtkpvIoFFBB+VmB/ezoTcH/2uMRhGKni2s4fsZILN93OvewUwsjAs Q1BmFxOq0kVD+KQxcihni5LhbiY0LQbqkesw0lToxO6UA0zgfK8n/uc4Rq74 +PTeASsmNLfddmvIwshq9dn0VmsmjDY0hHUVYKTvvd05rjZM2NqxqFhKYuRX l4GaMFsm+BUnuA3XYaSXiBov4cSEjtJ9mXNjGCnn5y+534UJp2wUBIPmMPJT 19eVLa5MKObx0WjCKH9acHrHjDsTRnSEbCYo/0ccz/LX9GZC6KMB9GMV5Ycr lm+892EC+92RM3UaOCm2/mDcvgtM2NtW/SlRi/KHHKO5Tn5MGEy98DAB4aSI B3yc8mfCW79jnDWUP337K7ou+BITMgv3HKrbg5MCL9b/exDIBNn69zboCE7m 04MW1wYx4VhrL9cLyv+evPydrziYCSmTDjbdVjiZc/icamMYEw7aDw8SlH+2 fvdR+9R1JhRlqfHaUf6aayXdYPIGE0y0VZ/VueLksdnckyIRTJj24jGSpvw5 hx3nmZRIJnjx5m8YO4eTWV/NLqlHM+Fb9Sv/e5S/t9R+crPoNhNyyvfJ8FL+ H38wHb/7DhOsJk5z7/HHyec8Rhk/Y5nAcI3Yan4JJ0297uc73GOC66m3Oeuu 4ORyS1/Z+H0msI5FOzUG4mTGLt36wHgmxOK7juwPwkmT7OsdQolM+OCc7BUV jJMLUk0jSUlM2IhNlKSE4GR60OrlNSlMcE7bsM0/FCcPDF0UePuACedTW7tX hOHkrNkXGaNHTLCu5MhNpHAqIbP6RyoTYhxNnrdT2Hi1m459OhMm92AV/79v MxXzbtfYYyYs1Lby1lA4ZZHf9MpTir+2Pef8KLz7lLWd4DMmvGjcyjFBxRuv yfRMfM4EsdfbPuhSOGnz0uXVmZR+G9zS9lH5Gabtjyh4yQTmGu98NSr/EYGU xF3ZlH75E+cbr+Jk3Pl/z+pfMeGsXsG5I4H///9tW6HtGyaoNG5QSbyMk0N7 ospHcqh+HeaXfBWAk/dy2hsu5TFh/Gjdvhg/nAT5dV38BUw415DxZbsvTg6E BY7FF1L5l+1O+OCDkzGjtSzVIiY06C2U8FD923pMSSj/HaUvSN6j6ImT0WtL 13z/wITtNmyJBS4U/7pWvEEkEw5zDrAPOFJ63jnZt76UCe9Xb2Zrt8XJf0dV Ht/+xIQtDwVnpI7iJKcjEby9ggk8Htf5j5vipJynpd3YZ0qPe4+OOR7EyX1h 4YzD35ig2ZHgU07p2e628jJWzYTEURNdBUrvfknFra9qmOCwdYSut5mK/+Zf vEg9E/7c4XUvU6f02W5Cr21iwtca6SVJUZyUH/w7fqWF0ufsp+EEXpzUmgqp 02xjgtOoRHYXjpP2/AWRUX8o/R9tEKyg5pfUkeU92McEyyGjA43VGNm4I7dv uZ8JZSEb6259wsiR/fvLswaZEHJEQ5CnmNp/HK4EC/1jwgYeuY1HMjDSP7pr qWqSCfvuzk2iyxgZkxjQemmaCTdHlefWnsPI50/E362dZULbiRc1XU7U+sVG vhELVH9fVUY+PYSRmwZejBuzKUMFx9d3dxgYObrdu++rsDI8rajr3H2KRfDs Fyz3F1WGS+SZeMM91EnS8km6Gk0ZGpyuXmhSYxEHPBptb0oow6a1jvrkyDLx ImFr6155ZYAHGkbJXsvEqQmOuso1ynD9hMPDSYclwua5QbW1ujJ8kePNbtq5 RJjbhnwdWasMj3xzC5yYS4RhDXu5+HplGBMZ2xX4e5FQecH2zlZHGX6NN/pk mSwSPXbY47mdypC+gJ2wUlsgHL4v+K4+rgz7P9s78z+aJaxv6J0vtqHiNx/S 6/KZJUzB/9zBk8pwTrjwsNfeWcIga97dx14Z2K9cPVA4PkOsCJ+zK3FRhr+M wLYxNEN0bZ8xPnpeGe7JNmVEV00Rdq/HFW9EKYMw/0mXQ2/HidNBRxb33laG ore/hJmB44TPkdxfAneUoZQRsirbcJy4PuUTGX1PGYIcZzlY38eIrM1zC/eT lWHKbmLkVv8oMVfC+vnkBcWXhW3UdpF/RPR3gYiyCmXonIxbSN7WSySkuTuH VSoDCv2gf/FDD5HmXb1z91dlcCneMcy+rYfIl4ie/1qtDKtPRXJqbu0mWo/R nOt/KIM3PfqsiHYnodolvbOzSxkqjVZEGWu3Euty/RTSe5ThR6p3fI56C7El tGXOsU8ZjPakjuUpNxPGqsmvBgaVYUT9dXeiSCPh5aaoMDamDKHVZdGWvfVE wNarc28mlGFza2QRZ8t3IlSws8F7ShkCeT5yutfUEXHZaTdnZ5UhbJ0Da9yj hkgN5HAqmleGeqtvf4zNq4gXhx13BCxSz/PlCmzR/0rkMsvlty0rw1t+/T2l ypXEhwmVORaLyl+TdXyYt4L4D+BJd+c= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10}, {-2.1908894491588415`, 2.190890227286127}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]& )[<| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10}, {-2.1908894491588415`, 2.190890227286127}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>]]}, Annotation[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwVW3lUTV8Uvrd5nt5rHl69KJQylCI5GylDpjRRokmTkhSpkCZEg4RmVAgp NErcW1JCk0KjNA9K8zy83/399da33l1n7/3tb593vrPuU7I7Y+LIhmHYIjuG /f+ZfNmOa73DzW3H93kkHzrz6kNZvaKxhaILsr/ItYdUiSRY5R+CFRUvouvv sdHDKilEMhnB4FS8gT552D++vDKLOK3v4z7DiEe5SX8fpTM/EPULzrGjjGdI STfyxQXJaoK7pVN1mPEWBb04aTE32EY0ku99hvrfov4wJH7252/i+ZO4j39f FyFV7N2diJJ24oDXgRODO4uR4Lkz86Zf/xD3eIvu9TkRqK3BSU8spZMQS/rM NvarFOVJV8x06vYSj748OPuXUYka0i0047YME5NxeWvab1Wi0EbOx3qvhwlD p69d3+cqkYskR+MF1X/EEPuMWVH9F5R5/iFfrtgIoat/YMuNa9/QDX+xIG6v UaI2e5FNdaQGPXxU8vSC7jhx5Yv63vUn6tEzxbVTFrFTRMbrApUXd+uR3q9R v/yKKeJ73A72ld/qUYyq8o7K+SlihZNlsdTmBmSd4ljDc3Ka+MIeooHRfiDR MwJFrSozhIR+i1hN+U90uVNiefvjWSIr+0bLaY1mdHJOQTXq5AIxKDZ4a69t MxLg80wOCVsgVM/v3bYqthkJ2XmlqGQuEA+38j/qmmtGIRkKFz2mF4iYylun jn1qQUf7Rczwa4vE+a6oMSPrNsSqEZP7cX+JeGM4mroyqg396vgyfaJwiRh5 dsiUvbQN1fKn5kY3LhHOnqIFH1R/ox5xC9NOyWXi2FJMgPbEb1TL+7FIL2aZ eMD/NVh01x/0yvimxwUfFrFN39860OYPkkrgktWOZhGtHmraIxf+IKHP7PQ7 z1mE1Pebvd+e/0EvtX5navxmEbfjjPdcF+lAuG0B7qGIkeu+LCrNrO5Avm/y vuxRx8jqhcx5x50d6HnU+vBJHYzkOyGYufN8B8o1LjiRfwAjg1dWC7FaOtCP JYMXfRcxkmlxuc99qgNhBW6uOiEYSV7XIFuFOpHFlI+4WSRGLv6NPFu0vRNt OiKfN/cII33eHGzwedqJ2sY9e7rLMZLezcrsJjuRfszuLw9rMPKN+KvQI82d qE7yeP7qRoz85yuis16wC9U+MNVP7cdIJ1QXP+TVhXTu0y3VuHESS50uarnZ hT6rv/FeLYSTcRxyrV/Su1BJhE7bFB0nP1eeUnj2swv51+3dOaeEkyfVb6G4 EQqrDcmsW4WTs5GvT17j6UZ9L5PGtTRwcpXpYqrjlm5U73vHOmMzTpL5SmWm R7pR4h+/KgmEk5bSRj07T3ejFJHcBRMDnLz++7YqM6UbaY0+PaJ1ACcVtxfs Fi3oRuz+9082meBkYVqrC1bbjTwbd4zts8DJfmfVzN94D3oidN01/gROBn41 rqqS6UEr3o9s8bbHSSkNr3/FG3vQ6nXZNnJOOPkq+r5wpnEP2rRD4ettV5zc PVG8LtGxB3kkrDrf4I6Tf8w6D4df7kGsyv3m3Z446VvIfe7i/R5U4fTIruQc Tj67ZJJnUdmDjmHc7Z2+OLnjz4Wfhp09SFh1Jaj642TzjuQZ7YUeZIXCs3Uv 4aTX41KplfReSh+aqpJXcJKPp38zfW0v0lRPfVQaiJOproJW7Ia96EQTh4xe EE5uqdoQMG7Ti24YCd0KDMbJ75qWyR0XelECD99kTAhOusZc+lAb3YsMTzce 8ArFSbap1HbiWS9SuPEvXiEMJxMsPmPZpb1ocad5/X0KbygaVkpp6UXvzLLm 2ij8RY62M2KyF+kcXCMwRmG7K7oOAYJ9KCMxhq+OwvMdx0PdVPqQ/lWDqUsU jjEIfnIM9SExxQ1VM1Q8tacZFXss+5Dbmc472yhcxlvdr3u2DxlsPrvPhMrP +vQE76rwPqRCj5reQOU/WS2lJpnWh8ysrsb9uYqTt9ZvM+Yq7kO7VzK1raj6 V8Tau0819CF33T+1qZdxsnj6emT3cB9Cyx88CwJw0vRoVnY9Vz/K8DaXiffD yaF39bWljH5UKF9fb0TxH6IwN/Zatx+lD0+lffTBSbmrCrRHh/uRhA49RoDq V27XTq1o135Ud1fyCZPqp7Ghi9mV4H6U+utSPyfV7+6MyPMeSf0opcvSLt8F JwP4c+8fz+tH+Q8OyGudwsmXtctNen39qEOYM/C+DU4ablyxsAYbQI9DJvUv HcPJ33f3yMlID6Cdg1Yu68xxUsgq1mZ27wBCqwz1WMY46dGzuis3awC1JKQc AF1KXzZNPCWVA8jFvNlPfANOHmm8rlHVPYCOPg/IzlbDSd2vfRd7ZAbRvFFg +EYFnGR//VhE4togSg5ze+CP4eT5NWabmKmDyGvzlkf+sxjZn8ZhrfF+EOX1 THluH6X2m3v2Tw0nBlHhhR9/FdoxMi5AaduFE3+RAiZ7b0URtf9M19oH+/1F 7FMfdpu/wshLZwJvRN39i0ab88kDTzDSzq694enXv+hYyGx47G2MVN+d7Nao M4QUlH75X3DEyBKadPxmkWGUYm3QVcyGkVoRnz/sUhtGsh8UTjUNsognXL7d hw2HUdcTo5ivNSzi1txPTdeAYRSI/nC4xLEI8/bY8oT+YXSlJakhZgWLGHwu MrlA/kPvTu/qml+1TFivIKV5Wv8hvY2tY6+5l4ma5DOIPvMPFSo2c7L1LhG5 0dXh6mtH0Af3K4JnHi0RV87fUjoeP4KQq3rsDdoSwacUotquO4oc3vu/Uu9Z ID5vva15edcoUu63mjQhF4gwyxQdeZNRtE9d30wlcYFgiy40snIbRXs0pdV+ Hlwg5peHnH4lj6Luf07XT+XNE39bzTJq2MbQ00Opq16dnSO+xamuJr+NIfvg F1FGb6aJ8Fyt9SeaxtAXyYDz88HTxO7a7ZuXe8ZQjkmSvKvZNFHGbb1nK2sM iTj9abo6M0UUn492KVw/jr5s3H42VXeKeGk69+zVvXE0fCDn88rsCSJS5Oua RycnkIhK/xejs6PEWx35vAMeE4izRPmYps4o0W1zBi36T6Aqo0Dh4rkRQu8l zdTi/gR6f2Bfp6rwCNG/x/qSYDX1fHiW1JjWMLEzeLjmot4kYnqWBBa4DxCz U8I+JhJTSM3grlf5gw7CrsWUYP82jV5/Emzf7P6E4EvscD/bNI2ElHx0vr1P It4c85Br751GR0pvcF/bfoNgb752sQifQQ/6fC/fj7+D0huLNp7VmUGzzRYP T7Dlod4fihm/U2fQ6suMx1WxX5Br7VD024uzqGQstfa2dhsSi76IVK/NovXZ JSdvrv+Nig5y/YuNnUU9OuPNCmvbEX8NY59nNvX8jd3M4Nt/UGaVCadqzyy6 LqHNeB/Sif59KbwYe2gOPc8I28F/ohed/RRid0Z1Hk1eczpL/BpGCt2GXNMb 55EQJI3bGfxDX9l4nwfAPNq2EVxevvqHVkLE2I2j84jNK0Z/w/UR1FR0NzD9 5jy6d0bn/On4UbT91ZOUppF5dKDp/JOyLeNINPFz887CBaR/p4kUN51CH96G X/5StoCqTtF3vAyeQm6NxszDdQvI49ZtX86cKfRJvM7FZnABZR8faZwSmUYX o5tmfeUWEV/wv6MVldOoI3RQIitwER20Cvcs0JhFrz0FjkjtWUJlgtuOGZbO o28JtIsvzZeQvUBquPbQPOotk3mww2EJFZzlTqgQX0Ay0qv/nr6yhKLKByS/ Oy2gkJJdwSV5S2hgY/fKs9yLyFzsSo4rcxklqLb5ndRaQp5bw5pYmstoRHyG U99yCYWfimDF6i8jp/RDwrn+S4goStxHWC6jVafdc86ULKFV9oVdtKhlpA+B a0V2L6P5nDHa+4VlNOem23t7OwvRf89uNuFlobXG7F3tNiykwYOd7JNgIckV 3NYl/ixkby2UKbqBhcLf39PSz2WhbxxqBqecqedMK2e4RDDo1djguuDDQofe 1MdPy2GAHd0cHR3MQr2n5K9krcZA+6VRa1EKCz0Q2uRwfgcGKWYO3sI/WMgl 8fis7VkMCq+4JaR3slC/IJtwVAAG9c+8yM2jLLQ7WVch+BoGHFeA6w0nBqYh d6KIJAx06w+YtCpicHt1d2VoGQa7nE16nqhiYHsx8UVvFQYmS2a+ZzUwuOIX elrwFwanVY+ncG3F4H6srFBmPwaP/N0G11lgQB55dHMNLw7rSN7Za8cxYKWM XtMVwYHkyOBst8dgdYAFjSaJw5+IbsUITwy6L9mGrl2Bg+f3II3u8xj4Twcb uK/BgSWhtFXvEgZyiu93XlyHg8LD4xYDNzBoKVhRNKWHQ1b3ggNEU/GD3wid 2o6D/uoEr/v3qHjKEjaphjhYv/kZsSsNg7NHmrIuH8JhaNo7MekZBr9rLsco mOHgr0d7NpGNgZVZmHb4URwSyg6WPSrGYH6cL7TMFoc1vP/qZksxEGYWSd1x xOHt/lvtByupfL9rblnrgsPumDXDT2qoekSjf8ecxqHx5+f5pR8YeK1MXvh4 BgdnWSces1YMaLkF10gvHGZOcEpkdmKg0Pz74nUfHMLS05TZBzCI2f2qUtYX B4mB7euPjWAQd9z5jJ8fDk/W/tn2egqDUb1O+/QAHLS9LhvzLGLg++f+w/jL OJTlyx07wYZDk3Yq41ggDqYLRU75PDgcUnnb0nMVh2501EdQGIekFxtrtwbj cC5kJshBHAe+Nu45mxAc2CrvRr+TxSFt4YuJcSgOMYJaKWJMHM4HvG7mCMOB afL9hcsqHLhFoyKvU/j1Pc+3pAYO7S9/nv5FYWgRqpDUxmFjVII3dT6CWsbL Bg+qL/l6tx7/pPBJh32dn6i+hIQussIoPJIxMCK3Gwf1Gy0hbBS+PHxt6dwB HDqeF2rvoeILbVDh/2qKw4fbpXQrKr+U82VSTCuqr0oVK3Sp/Ne+s1O5SPXl redGF+p8BMUsTKvWidJFCa33CFW/scGD7aoeOOR60h7GUPy0Xtc/eNkbB8Hh gKQkij+3qhbrHxSvommbO85Sn/Oifq7q1Dqrhuu8xSj+w82lfIOv4RDFOm1z meqPTGJ+aHMEDiXfax/nUf171m56Z30slaeA3ZFCqr+fnW9ntT/E4a5AIaci pQfLl5rFm57i4H3bRiGU0kvfWFVlxEscPr2bKsuj8uby5+vRK6J0fzN08CKl t3tExngMiYNhyaEgQUqPKzmMsMFyHEI9XzedpvRqEBEsG1ePw5n1KaxISs9B DxYPTw7hwLvV+4cdNQ+H1hWeVZug6lnrzeez5n8ezt22m8PhtnVUsBk1T0Wd g7W1nGywLjD5xlVq3sZXNh18qcAG9rB+7toCNaf5sWe6V7DB6i3rTwhNYhBp dChKVo0Nnj8deGI/hMEal4rqGzpscHj+r5Y/pWO7zLz9pw6xwek2WuvJIgzW 6Z91TzZng9DH1a0nX2OwXKUe0WDNBocKPQPXZWCQMJL2bYcLG5hpesuiuxh8 3xCzjxHEBgdFUKacOwbb33rsacxhA84VvscnaBgI7V3jIlzEBgFXxjYtcGPQ 2txz3ZBkg0d3dLY+m2Eh30Xrz7nf2OC3fe6uuU8s9ArtM7rdwwaNFgb4Pmp/ VSxX3bVXkh1WmM6tnr20jP6ZdzlclWeH3nLuJuuTy6i4LyWkUJkdfhwdDnXZ sYwseSXKVNaxg81vU+0AzmUUbcyxk30PO6RfjHwSfW0JYfV/oNiPWm9TR0+5 /yIKGfjwyO8qOzgupis2my0iXiyZbfN1dqj8vi3/luYiElt7tCzvLjvYWnxb qutYQCuv1Rllv2KHI5434/5uX0B79UoPpPayg/9S5kD96By6k5Zmfd2EA1pe k1lXBGeQVNHV94ZHOeCm1IjGndZplFR7QoHzJAdgP07kWb6YRk+WZP9cdeeA qY2vfBaNplGhRay9/3UOOJ72w/btpSnUyh/q6vGBAzoPOEo9aplAKt6nfE3X cIJrI/2hzKlRtHZL+5EH6zjB6H3Li5R1o0gLs9Qc3MQJ2MoKo56pEbTj1p7e Kzs5QZj73ktphRFkk65u+sKaE27t+fdax3UY3WsY12SL4gRRyVwJx/EBxKl9 pS97ghMsd43/Svjaibqn7pvzv+eCTCf3+SYHAqVu33iu7SMX5Pk0GD848A6d iKiOyv7CBRc4Xllw6hag5hWclUcaueChOGt/Ey0L1R3x0kua4ILT7QozQQY+ xIfXxopr13DD7MerVYpcJcR9d3zwwH1uUOzVJjJLGgnTt0lcSincILFgsf/A xyZCjFNXeSKdGxqUd87cLWsmIpM8rO+/4QbHJ2NxvOWtRMjXlur2Km7ofHxN VsTuD+G5Oj/Hk4MH7NdpO2Fm3cTeHtdLMWd5oDDjbMV+tiHC8JJypoEvD/i8 XSs1f2GI2CHe2jx9mQe+yR55aTg8RGzZtV/X6hYPcDlaBBT9HCbWPNacUH7K A55p9s0d6SMEv+Okc14rDxx3K3zncW+M+NZ9ybTRiBc4h1ojU0cnic8Bm4LD D/ACXcgpTWDFFFFGH3m91YwXzpolP9S0oM6/BieFH9nxQpbq6ifJxVNEZvqO Ly6XeAHHS/Zyh0wTEQ7csPCGF75/9I67wjFLHOiOVlNQ4AMBRdbR7Ip54pta d4P1Cj5QkNssrvNvnth3Tudy4ho+ePXPWcCTvkDsZvtdK6XDBwftTo1OnFgg diiqnacd4oMTcWMROhMLhLb1J5IniA+mbx1WOsxH+Yk0KVej63zg32avW6S2 RGz460YLi+SD/Q1cy1XGS4SGn9gp9kQ+wBZYYpMRS8SquBP8yzl8ID/fKLBO YJmQa5gzm+jhgzZ7+WrJ2WUiQXY/a/0QH+hq/36I0VmEtP3DDM9xPjBGkpGR mixCYtxwYXiZDxIZD8/HObIIEZHYh/2S/GDz6/iYVRWLiLTo26OqwA8nNcdx x14WIfhgy4TjCn64ovb4kwiLRfBpdOzqWscP3xbc0p5KYiS7scbftj38kDVT afRqF0YG3bkaK3eIH5Y/OX1+dwgjsZYGfStzfjh1gO32fSuMXHTxj2604wfL K6/8CU+MnL72Wbvenx/eNGmfrIrDSO8a2XbRIH6oRZrlFqkYOSFx5vqh61R+ M96hr19g5Ohj8ZaqWH7o2y6c9v09Rg5+tAv8/JIfyMC+K58pv8m43egamcsP Dw92cJzvx0hTmwNmpu/4oVXs4PEByp9+mN285s9nfpCQYhNXwnFy4lM2/UkN P8z3+23t4cHJVXdWstx+8gP7rZoKDxGcjFkr2jDTxU/9Psmm1VF+uGI+7MP7 QX74mxpT8nwlTi5WLGYEj/HDv9X9f3ar4+Qpu/5Lwix+cBDpqain/Haipo3z D04BMJxzcCC34WTtYr1JooAAPL3o/eKsAU7q3SdUVWUEYGw6/6/SQZz0dNAW G1YUALNYZVLRFCefrH+x+EZVAPKv35nqssRJkW/36rZpC4DANWJHgS1O7ooX KObYKgDN6xS2VjjipN+poCdfdghAbdOno4kuONmNefibHxIAzUDB6ihPnJSu 7nKUsxAAo3RC4NU5nDyQePRQ53EB0HJqR7HncTLYuWZLhoMAdPD7Hd96EScL tXet9HATAI4oN+sMf5wcZnsnrOUlAEnlNlqNl3CSWbtufs5XAGIvV7V9vYKT FslPuokrAvAsBjMJ/v++xVWuJjRMAK5xitxcDsLJEp2Yt/siBEBSvCtYPwQn pzl40kVjqXqM1+nC//c73y9F/koQgEfRl9K5wnDy5IMJ3+RHAhC9TrE8msJ3 T7vY22cIABrcmvj7//ukze37V2cLgPJEBXOUwiwuM92RPAE4uhBi/YnCWg1f mHnFAuCjwb3HhsIuj0DQ/6MAhK9/PVBExUvxyJ+BLwLgoJAHLVQ+9XrqnVx1 AjDnTz9MBOMkD2/qt2+/BEBc66GCE5W//k/JgpjfFF9hsy+/B+KkV1rEI8se io+ZWxxsVP0Znuy3FIYE4DEkrZoKwMk2/Yvnu8cFYLuOllKmH06K8Y+cfD4n ALn566dVfHFyd6PDPk9MEMJC4JWjD05eetysvYlbELI3tFg6e+HkG69DiouC grC4vHde4wxO9qFyvlK6IDzJfvrgrRtOyglunbomKwhq7r9MeZxxMuyp6hfa akF4mXaQOX4CJ995J+c2aQpCZrOreYQVTo5upz14sEkQqrcs1w2Z4+Sx1uVz agaC8DeG58+sMU5GPfO2GdsrCKbcH2IfG+Fk2fnB3QWHBWFQ1fmHxA6c1BD9 Kb/zhCCs1uoyMtqEk70RvUF3HQUhLvC5/Ll1OJnMN9PX5yYI8tOu7m5rcFKA Q+rNLV9BkJx+/7FEHicHp48a/rwtCJeLnrtxs+Fk6jnXF6viBGFD/7J6/DxG Hh31E/FPEQTXuHze2XGM/DyQ2Mx4IQgBZnZn5bsw8nFrm4dLmSB80HJ+wFuC kdZH/9W/+yIIyNmpjasQI+k/l3WF6gThykaz5bosaj+qYbDntAnCyNNJi++J GHmy1Pb+4rQgDLwvvXP5HEbKZfQQUauFQL35xcmH0hjZsGJ6RaemEBg3XmUL F8TIm4+4wrU2CcHrN8ZhO3GMnE9QNW3aQbn7sMXI/bUsojHCpZ9pLQSRV3Jy HJxYxJ1zwyL5kUIwGPCyEA9ZJvaOLvnw3BWCEz17Vk07LhNs7kItxxKFIOwV r1+U0TLheUrzMeupEOARwevf8C4TB46e3bynRAjcFO6vKb2xRPChKdvWCSF4 V2cTYntxkfDdvoonf14IbLXfWjWYLBK9O62yonBhsGwoCulSWyRKd5fM7xAW hrIaGGtsXSD8TCLuPFsjDGo0uWuaWxaIv44rP523FYbyV8cS+LrmiG+3zFaJ 1gjDGb51e3LGpoktUderB38IA9dynlo9MU1k3H7nXdYqDIbr+JdTI6aJkHtK JRcGhUExntQ2WzVNKNROq4+wiUDexU3XJI9NET+bSj+ZKYiAyLqy+pzsCcJo +NgM00wEEq9e5wpcNUqk0IPrr1iKQMfp6G/rf48Qk3ovslutRED6yXHPGdcR 4mH4gtM9OxFYndVx1SD4HzGvmtTI6ykC12VCe0Syh4hMu7a3o+EisCVavK5m sp8QaTwR8IEUgc2SgUwhgw6isdQBP6YuCmnh3PZP2tKJ0e3NMpc0RWGvsWLh n8wEgrvkoNbDDaKw5vNI7b6t14hNxBanXl1ROEPzXxV+JQbFvhOp8tolCjzw ov79yxx0MLc47qaNKDDMf7zobvuMyh/T172PFgWFO3wiw6Yt6PeK8D1/7ojC xwoTLdr2VjSVxrJjvy8K5/hCh3vU29CK1MG7e5JFIaP8ybYw9nYUlEIu/Hgm CvH2yVs2mnegbfdPV/wrFQWubVG/Vkx1o7zrZTaKU6KgTqivZGMbQhl7v0pd mxWFIPbKtREXh1CCwPfvwwuikCNx3D5vdAgFRrcbvmMTA1v+xD8/24aRcdy8 hrmIGMQuqqH1OSOo8+k61k01MQg8eOq+Z/oYEqpIejBjKwb47t+8BXxTCL+R dtTGUQwi306fqdo2hSb3Pqd9chaDfn4dmQSvKdRUXXAt5owYkKel3I80TaH0 n9/PrL0kBpacn1M3pE2jLb3UWS9ODHbdrz3Lv2oWneL0+VNdLQY20aKFj8bm kQyj8tdCnRgYe54vvSi1gKp15WtW/RCDtpRV9axtC2jT6U/vg1rEoJNPbxP9 5gLiqhdP3NQvBpU91lcPMxbR44f5Zik4DWSWr9q911lClkV8+79y0KA569Ox 7UeXkECDjcEsNw0M0i2un/ZbQt7c3BtNhGjAOSw0kf9uCRl4WIhwydLAVSjr oOiWZdStN/vFXYsGUcmDYzdWslCcmXFpgg4N2C5F3TTdzkLGZx6+rdhCg4z2 jrukNQvlpu7OUNpOgzCNhtf+MSwUwhsf+mM/DXIM6rf4zLGQrvJwANthGtSt WN6hxIvB0Nbt3pqmNOBrbHWwEMfA1HPA7sYxGthmGoSvX4vBil+bQd+JBhta knzij2HQOBqh4+pKgzM8tjRfRwxu8XVq3HengcM2MYmVnhhM6ofLj52jgfK+ h5UDIRiUpTfPpwfS4Kv86jCZTAx8P2iM1wXTQCNpocs5DwP1xqCB5TAaKKX9 yQ35gEEsv1qjZQQNtIphx4paDOy9/PMEEig+g8PWYmMYbNrwO291Mg18Y3bO RM9iwDcO+YYPaaDDKeI8ysLg1VmugsAnNJAcfzwgI4RD8HqXguRn1Hru2+p6 6DiYj30tKMqkgcunEMErsjgset4unHxDg7eqQzpyq3CoWTdZKJpPA8fbJ3BF DRxSR83farylwRiu8nNsIw57POWKnAkalKtG2LC2Uf79zNN3rV9pkGf+WYs0 wcFFk694rpoGh/n+pGywwGHryOliie80uNHQmuRlhUOXx4b3hxppkDDzTNnK Hod8jbvv3VtowPL3v8vuhEP4v5n34b9psPRKy/2iKw7rPN5/KOum+Fd7o1Ll iQO7hiLR0UeD0kyR6efncPg5HEQsD9KAFnGTy/w8Ds9e9hCy/2jwO+nkoWpf HALcd5O6YzR4f9j2G80fh4NrX5BmkzQQbxk/p3IJB+awYInXDA0MtYW2c13B YTrTsyRqngab9EAjJxCHytP1JZlLNFiR/2zT2iAcktQ3lVZidGh0Y5l5B+Pg ORRX2stOB3m18OvXQ3DYmblQys5Nh8ifKl9dQnGQOG3zUZGPDm/dDWWlwnAY UCv5qC9Ih+v0f+fvULj4r3LZMRE6CEgXtLZQOOpFWNkFGh1uzFTv+/8+yc5t oCxWgg5/rGc+1lNYW83402tpOmxVDdsVTGGev1mfquXooOToWMei4rU+Fy3/ y6ADYUJz+f8+KdvVu5xHmQ6JZqlCJ6n8gtb8Kl+pQq0/XVi2k8rffHBzxY7V dJhpuh05eRWH1c+TKk6o0yE8f+GMF1X/ogurIkCTDnx7j7q/v0zpY7Xd5/gN dEgzfnTzRwClj4Gyz/nadPC2s6kt8sPh/DPVynpdOlzgz97uTvG/xyW8clSP Dq9u7+od8sFBbvVwpSCiQ8GU06fNVP9G+w9+WbODDlFNI71HqP7ecxb/6rCb Dia7fGmjLpSeVvl+vbqPDvF2guu9TlF66m/+mnKADqcm1+WX2OHQ6fTwW6Mp HTiKHjArj+GQp8peNWVB8e8upXTVHIfrfY5VYlZ0eHPYL4+L0qemk1q1sS0d WKtSG/x24/DbhXHmpQMdxjgPSMztwOHWaZqIkDMdRLnjd23Vp/p1duFwjQcd rlmfLBZdj0Oc98i4phcd2iSvrE1fg4Phha470T506N90tX1BGYe0gK8/DgfQ IalL2m5BHAeTK8T5N1fo8Fgq0S6NmkcsKEeSFkwHFesGdlFuHI5fSzzacIMO wVyt0fozGEjGuLWZ36cDf8Cnlt8NGJTHnrhckECH8lu0rvyvGHjfP8KQSqFD QBLD06wUg7okPdumdDqYn01J6s3C4OZT/h6rN3RopxuOW4diwCp+MXSyig7c hVZP3qpikEU8iCippYMQTx3BJ4uBdekdDWYDHazzkt+tEMLgbYW/Z1czHbR2 ikk697HQue/7Jh376ZCleUE+3JeF+vr+Lriyi4OYhKJqftgyujfYnvSVSxzK nL20Hp1aRgbD9frqfOIQUuqju8JwGT0af3dlWEQcDnY865xgX0ZWSzfZPRXE YTz3LSqn9v8aMXV+n83iYKYrEfPAbBFtc3cfSNwqDsvuH00b1i+irIqsilIk Djctu0XyBBdRZMD6EBFDceBXEF8ZULaAjHs3Lb0wEQfp8fOkusYC+vJ2+0in mzi4flNb8hufQ59OWtQfShGH4zFmqeI7ZpDWu7jXFx6Jw6GE20aZ9BmULt4c lZIuDmttvykv906jkC/WxkPPxWFDX2zqj/BptEPL7tO1AnGoPTRdbVczhUhu 94IPteIwOHGIftZ4Er3LCkpUZ5eA9ZNWosdlxhCXsZnMfS4JWDwzxsb6M4oO D6jG43wS8Iud57fj01HUp1x176eIBOilCfqGbhxFtHjJmEAFCWDPfz1lEPMP uQVnXm/YLAEX0tdaifwYRLKWP30CPCXgna7asTuSXcgfX3PoW5sEeGV86T4R VIB6DfgbVTokgFXd/bAnIAcduj504mq3BFgWeeoe+ZeFVghnn9n0VwKSv/S6 hmcmo29yWlEPZyXAWE1rr7nVI0JBd1u1N00SiMEfFhvcyohSDxNj+T2SIGIn GGm7upnga/Xb7ZErCeWE2lK/yxCx6cIzwagCSSjjGReP/DVE2Io1fs8ukoSM nSmhvw2GicLd2sfHSEk4clvVKUDhH3Eqb+Ssd5UkvOb1OHqjaoQoiXRI9OuV hJV3l/cP3hqjzscH/oVJSYHwrZ5g59eTRHprQM5TWSkwiN+gUdYxSdRceOH7 WUEKKr5N3eoUnSJUsnjY+VZKwfm3CRsdz04R9TIfJSPWS8GMx512r7XThMak zvY7e6VAVDl8WCd+huh5ohT7IEAKNridMq7XmyeGQjrm2AOloOHe2q7GU/PE uN2jE87B1POFsubBt+cJjKGktj5cCiz2h4WU9cwTMvcVS0vvSwFfwrR2/40F 4tA1xmjPGymYf/796RZykbBwbDfbmy8Fzs83vt3Xs0jY7HzwLuutFNDDKvjm eJcIN5bCtQukFIR6efqomCwRYRcUFHirpUBGXavnQ9sSUewkb6w+IAWH98vH Xe5YJj7uansdPSQF+oUCprIYi/iinCw5NSIFIpyaAvsVWMSvdrmu99NUPW9v 17kfZRHjFnJ+BzmkgYO/43H8FxYxp93ansMtDTslnTXqe1gERk/aJcUvDR2H RfcfxDBSsFZWtENUGrYXH/3hLYORq3bLZngxpME6ZJuvsjFGaqq0CP5iSsNP sW3dbJYYuYkj8ZyeijQITP7qfmaPkTtJGcSxlsIqhewH/DDSRlfm590t0uC+ UjhoMB0jHSWa9eb1pWFc/bwFWzZGnp6Mf2SzXRosfFfe/UP5vYuvpN1Vd0sD ZtZRMvIVI2NXSXO8NZOGsVvylmYjlD+0UXnaZUl9/8aoUHQGI1fEbtwrZC0N NgWCIonLGJnL2h9tbycNCtctjemCOBmgbbUx0lEaPBOOcHLQcdLAzflnobM0 DCX/siFlcLLhZ5Cc0BlpKFHjTUtRxckkgWhC10sa0jbjTuRanHTYkWxn7yMN G3MlL2dtxMnJlwUZhf7ScOFQh83INpykhQ5p2V+XBlbMZ3m2IzjZXDT3K+Km NLy8av4sxILyw6Nc/oWR0pB54QRfPeXXN1grlQjelQaGUbZ0vT1Ozt/WcNCN k4YtVj3ZIU44WVqhx22fKA2WWj5/cTecNNlovr/wkTSsETdYfeIsTsq42I92 pktD4jobKeSNk50pnncEM6j1vK6HDZ7HyecNlzbpvpCGP5zv3Gwv4qQX380m uyxpaGfcItP8cXILxAVEvJaGPWLrLr++hJNs5x8zCnOl4bftxZTwKzj55cWb 0s4CaYhubJTVvIqTMR2Eo+A7adC+d3wsJQgnj0lW8eh+kAYXRp5MczBOMvc3 v7ArkYYbrmqxf0JwcjCo70BEmTS0Dj4/9iYUJ98UTo4VVEhDU3yx28EwnPT7 h9/t/CINt5avfSqg8I4VwrqC1dKgvrH+1F8K8x2Ta9Gpk4aP/WwHByn8PWr1 ZbsGaeBxkbmc+//7SJ82KUX8koYD995N7vn/faOFnWUFzdKQPqCS+5yKt2b9 YafONkp/Z/Q+/KTyGT9lwyfYIQ1txHnxairfoiS3lzrd0mCwMFkcTdUT9N33 kF2fNAwUexYqUPXu5QmbuDUoDfmiOwV8KT5Et925VzAsDeWu9u+TKL4azz3c 3DkqDecinepuUXw+fPayVWBSGsKuBR/YTfHt3F50RWdGGu7G3NCrofqxTvwz 025eGs7zDj5Qovo1u/fHp1tL0tBrnBOMqH6SgZ3OBZgMGGXeHlnlgZOHhhaz BLhlYA+3aagNpQcpJp+JDp8MdJs//vic0ssfC8kpW0EZ+Kfe+6b0BE56flyv V0CTgdT6hnozSm+6c9t+d0jIQExRs0KdCU5imsZXBWRkYCdP4H6pAzgZnXCq wlZRBo66SkTxGeDkhfNB5wKUZeCpnYNSHaVnG5MUxn0VGTh33LnJcTNOqvP9 vPBNXQZep3ydm6PmofLirlU6m2WgQYPtZzU1T6/MbBsOb5WBt1Uip3n+f79v /aXA00gG7iW15Ipw4+SpgdzGR7tkQOzsp+yIWYxkO7rihoCJDDS+an6k14SR A1qgrWomA2z8DYrDtRhZK2Ldsd1SBjKXNNg9PmPkg893Nl+wkYE7Uj9Mf+dj 5FZd9sEOV2q9JeFl/9sY6SPZubcgWAYsDldSB2dqf5hYmq4Lk4HJrpE1vhsw 0qBGOm3ohgygZ9dLllQwUuza4QWlaBkIFji8GCCMkVnT5ItbSTLQm/qnIaWY RfT/eCBglycDIsWz7RW9y0TN63eFAYUy0M/VXXbhyzKRH/HL4f47GUiX3vO0 +uUyEbJL+P23EhkYERt45XVumVDKu+yuUy0DyTv1VJLnl4hjscerBfpkICTz 197K2UVCLodP1m1QBmyqih5rNiwS7XUFTpXDMiB5zu3PxuxFwkFYDA+blAEW wfNP0mGR8Agv38jCZcHJ8ECgdeUCERSoGT8mJwujJ/ysjYPmiWencYefJrKg 3PBLJev1DHH6ZtYrLXNZcPz4+1br1RlC47nVUsxRWTBWeD1SdHiGeNOXd+/g SVlI3k3fGj46TRTbuVZ+dpeFzvIZudA100StZb3Gu+uyoPFhFRkYPUnMGjye e/BBFmhrJFY6rx4jAt49CC4rkYV1p3pDX0+OEtiGBMGBMireYfVnn4lRgpsR pbThqyz4fS59bmc2SkjM+e4p+yULe2PZK14u/iM2vjSO7x+l8m8/fyUu6i/h IT6pu15ZDvZbXhz/4tdNdPXs8C29JgfxtR+s/n4sJ3Y8qE5dc1MOjnp4mmwo KiMeWh6riomUg8fOt+XWvyolbL6eZdrflQOGwP6VPZveE82vHn5jT5MDq6pU 2XXEM+K7/7Lirg9y0OE/n9Vcn4NKRYsqKyblYIXpBrvHW36gVP31slW28vDh 0YfMc5aDqPQAX/CCgzwAsyYqsHIQdZ7oGlztLA/HEqIVtm75i5SD7haFecjD kV38fW9lhlB6+dxR8JeHps7B8ee/htHjg6VxObHyMHq13kPh4SjKsD0ikVAh Dz2bB+7d7ZhAn73UL3/+Ig83u/+Uf6JNov5gzt7pKnmgoW/4212TaNWTgrwj DfJA1sRv6c2YRM8GZc0EO+SB65fkoX2np9Dzc913Aufl4YSx526COo++DPUR dVqrAFPIzNHryRwa2no8KHSdAtAqvGrka+aQ+qTBRNpGBTjordN/aWYOPbej //izWQG+HNl18JjRPMpAOXHHDBVgcJjL6ELXPEqfG2UcOKEAxfxetu0Ci6j7 VWP0aTsFaIsfcHq4bhEpO5P4TUcFyNlzeI2w6SJK/RnVVeGmACMPDA0n4xfR gxyNp9t9FSDhpGpFndISSnA/raF9WwEKvcUvhCgto+YVpg+OxCrAMVBvHUfL SLpVT8TrvgJEzpjO89gso7i9/ONZydR6R1+wq8Uvo7uqz/NWPVegzp/tI1v5 Wajh920Vo5cKYGIw9a5dhYXo9y7ed3ylAG5R2g9Ud7BQDMeei6n5CjCcX+X+ +AILRXf0bZX7SMWv7S849JuFauNqXm4pV4Ao1pNS2gwLCR8qUDhaqQDpygGl xdwYRH4Iw+7VKIDVjDHfPQYGtxJXlgm3KkCKRcOQ2H4MrpnZ72OfUoCvh5ee ST/AIPVgq7XjrAII2m2R3/cMg+I9Zh4VCwpwt9rKamcOBuP6RrdvsjFg6K7y q2vllJ9SUftFE2GApkrjWutBDC4opvf70BiwpDnsQI5jECMjP/9LggFBmS9d B+cxqBASlk+SZ4CnTaNXFB8OG2bG7VaoMYCXNLwno4rD/jE37zANBiiz5x1/ vhYH57/dof3rGfB9IXQ1ayMOye0/MzJ1GeAerOI7g3AobDpYJLSVAT1JrXUJ u3D4Xv/5qydigLrQxza2fTjwfC76p2XIgPdCmaWKZjgol27E7u9hwHX6uO/P ozhsK84UnTNmgMvPkcRDNjhY5q9UtjrEAEc2Q7koym+fe5Wi9f4IA6x47f7e pvx45HNJQ4YFA0QOX16wdMUhIz3a4uoxBvjap6Jud8pfxwX57bJlQEgVU8vI G4e5mIWbTx0Y/987VStcwIEe4Z3M68wA+VL1s0UXcdC4Npzl5saAZw4YTSYA hz1XT5FVHlR9bL0v9C/j4ODfXqfpxYBtTqFaKwNxuOxj2XXbhwFqCaZPaq/i EH+mbnLClwHzE/cXUDAOuS57ucwDGPBtg53muRAcauw/ShZeYQDtZqy+aygO g8e3rpYJZsDLvN/MlWE4cFjmbQkIY8CBhQ+taRRmmGgY/77BALp+kEsvhbcY Pz0OEQywm9/5eYjCpoaKZ1KjGfDvyL/ZfAqfgfhAjlgGCApsWTSgcPgWsZhT 9xmgG5JVf4+K91jrZtrnBAZUFzy6mknlQ2pw5K1JofqtpcsbRuXbvOpS+a1H DABBRw/lIBymmNO//qUzwKhuIC+EqldE/szAoQwGqF4w73lG8bFGsn/+zQsG YMa87HcovnaJ2gqIZ1N8tGlIgB8OJ/mb5S+8YUBie4nKa4pvP84jmk15DPCi 39Tvpfpxl/UV9N4yoG2NkkP7WRxezRmYJBczQOVBf3qSBw5fJt7bswgGcNyn 8Su44dAzvMnH9iMDVr97lGrvhAPWnx32sZwB4kInfd3tcdBuffTsWhUDsrA0 8epjVL4azrPZtQw4xhXqdN4ch6ErGkaN9Qz4ZJr5e/AwTs3lu+5VzZQer346 p7sbh0CfqxsPtzHgVldBluhOHKwrjIIu/mFAr/7o7gJ9Si9uDYwvvdR8pf9q cdqAw2hxgsf4AAOczx6b9lLH4ZuQ7XuZYUo/pl9y9qrgEPJm+JjbBDWfSrm2 J6VxmA9g38eFKYKtAWeOyhIG/Y9PeSXginCXT5QvfgqDn9WV8RrsiuDKJ5nR OIzBG8XofnMuRTjK7ShBtmHgWiYX9lRAEX48Pum64R0GTfybSnZLK0L2/jMH i09jUK4V398qowhc/fv1he0wyD2+KHxWThH8VrqqrbfAIDq71CaeoQgCiaPh nYDB7iMHFwdWKkLhNXVeligGhQnOOjc3KEKan11jgDkLPfn41YahpQiHgg2z lPVYKHZIIyxHWxFanizKujNYyHPbVEOLriJcCg/kH+hdRqs6r3qpI0X4Vr4c FXmW2m9XJ76s2qcIR6rWWv32WUKTE4aPg/crguzfkEgRkyV08MN40uaDilAS Vl/esnYJcR3Ze+uxiSJU3HIyQN2LyCdgzvXSUUWQ6dyUu9t4EZnUWKxa66QI 5n+4xlp4F5CADz3tVpAiEHr7eZa3zSJnRCbsCFEEq133ztkKz6KPvKdjZkMV oftI7nHP9hnkl/LxqsMNRUhOlT985/IMGqjwOrk1WpE6Lx5ywt5Oo3KZOvmh ZEXIKT5+S4Qxha6QEXH73ioC7/UT33nzxtBgGxk7V6QIW04sTm6/NIbMFyai nxZTfOa4dm7bNYbUNx27wU4qwhP5ZXp4wyhqfKHi965cERxFFCKm/oygDfcJ K7UGRZCn37P+vXUI9bqPKfCPKMLxZOkwtVfdaL+s2eMvK5Qg+3Rkqt2ljyiu W4O0UlGCzFe9x+WTS1D3S56WIVUlKN310233RQIFQLGIsJoSXJOxyrWcLkCZ jsoBR9YrgWWsSyhnyyPE92rMpFVfCXLsjkabqOQRFQaR2D9zJQgEz8G9OxqI 7R4VVqI3lKDGZqdw8fN+Yr5xwLAsXAksvErlclYMELk7BTZcuKUEezMI+pGU AUJF+jBPW5QSlMu7rrsWPUgIlDXnZtxTgjAJj0MxnkNEo/Q/QUhXAlF5d8Ue oVHC8xOd9CCU4ITpKcbv6AlizTqdF0olSoDtrbVtK58guhKO3msoVYLNOqwV cYsThLlnyukt5Upw2kDfUN9pktgqu0qaq0oJnoWv/7F+8xTBc1bPK7lZCXbX 3rJVqZkmHsjZrfg2pQT63rFeoR/miC0b1TTsZpTA9uHmyty+OaJhz6TO7KwS rHaXH7orMk/wXAjbt2JRCUpo/5652c4TnnXPvQLYmOBNkyixYM0TEDZBqgsz 4bdXpMVXtUWiOan4S6kIEwZMsRftBxcJ75zQBksxJqilJ4alnFskMv5I9oeI M4GIz1aVKVokRPW2CrfJMsHObTx4accS0TkScjxiFRMktjQlyxosEwFcB5yU 1zDhpEKNQobdMiEhL3n2rRoT1pgl9jQGLhN79z4L6dFgArfNtqaVxcvEm/Sq F/raTKg56vHYXoNFGL+7l1e/iQkGE3sTePayiN66E4SLLhPctYJlDjqyCBnW 2Pe7ekyAtkpvIoFFBB+VmB/ezoTcH/2uMRhGKni2s4fsZILN93OvewUwsjAs Q1BmFxOq0kVD+KQxcihni5LhbiY0LQbqkesw0lToxO6UA0zgfK8n/uc4Rq74 +PTeASsmNLfddmvIwshq9dn0VmsmjDY0hHUVYKTvvd05rjZM2NqxqFhKYuRX l4GaMFsm+BUnuA3XYaSXiBov4cSEjtJ9mXNjGCnn5y+534UJp2wUBIPmMPJT 19eVLa5MKObx0WjCKH9acHrHjDsTRnSEbCYo/0ccz/LX9GZC6KMB9GMV5Ycr lm+892EC+92RM3UaOCm2/mDcvgtM2NtW/SlRi/KHHKO5Tn5MGEy98DAB4aSI B3yc8mfCW79jnDWUP337K7ou+BITMgv3HKrbg5MCL9b/exDIBNn69zboCE7m 04MW1wYx4VhrL9cLyv+evPydrziYCSmTDjbdVjiZc/icamMYEw7aDw8SlH+2 fvdR+9R1JhRlqfHaUf6aayXdYPIGE0y0VZ/VueLksdnckyIRTJj24jGSpvw5 hx3nmZRIJnjx5m8YO4eTWV/NLqlHM+Fb9Sv/e5S/t9R+crPoNhNyyvfJ8FL+ H38wHb/7DhOsJk5z7/HHyec8Rhk/Y5nAcI3Yan4JJ0297uc73GOC66m3Oeuu 4ORyS1/Z+H0msI5FOzUG4mTGLt36wHgmxOK7juwPwkmT7OsdQolM+OCc7BUV jJMLUk0jSUlM2IhNlKSE4GR60OrlNSlMcE7bsM0/FCcPDF0UePuACedTW7tX hOHkrNkXGaNHTLCu5MhNpHAqIbP6RyoTYhxNnrdT2Hi1m459OhMm92AV/79v MxXzbtfYYyYs1Lby1lA4ZZHf9MpTir+2Pef8KLz7lLWd4DMmvGjcyjFBxRuv yfRMfM4EsdfbPuhSOGnz0uXVmZR+G9zS9lH5Gabtjyh4yQTmGu98NSr/EYGU xF3ZlH75E+cbr+Jk3Pl/z+pfMeGsXsG5I4H///9tW6HtGyaoNG5QSbyMk0N7 ospHcqh+HeaXfBWAk/dy2hsu5TFh/Gjdvhg/nAT5dV38BUw415DxZbsvTg6E BY7FF1L5l+1O+OCDkzGjtSzVIiY06C2U8FD923pMSSj/HaUvSN6j6ImT0WtL 13z/wITtNmyJBS4U/7pWvEEkEw5zDrAPOFJ63jnZt76UCe9Xb2Zrt8XJf0dV Ht/+xIQtDwVnpI7iJKcjEby9ggk8Htf5j5vipJynpd3YZ0qPe4+OOR7EyX1h 4YzD35ig2ZHgU07p2e628jJWzYTEURNdBUrvfknFra9qmOCwdYSut5mK/+Zf vEg9E/7c4XUvU6f02W5Cr21iwtca6SVJUZyUH/w7fqWF0ufsp+EEXpzUmgqp 02xjgtOoRHYXjpP2/AWRUX8o/R9tEKyg5pfUkeU92McEyyGjA43VGNm4I7dv uZ8JZSEb6259wsiR/fvLswaZEHJEQ5CnmNp/HK4EC/1jwgYeuY1HMjDSP7pr qWqSCfvuzk2iyxgZkxjQemmaCTdHlefWnsPI50/E362dZULbiRc1XU7U+sVG vhELVH9fVUY+PYSRmwZejBuzKUMFx9d3dxgYObrdu++rsDI8rajr3H2KRfDs Fyz3F1WGS+SZeMM91EnS8km6Gk0ZGpyuXmhSYxEHPBptb0oow6a1jvrkyDLx ImFr6155ZYAHGkbJXsvEqQmOuso1ynD9hMPDSYclwua5QbW1ujJ8kePNbtq5 RJjbhnwdWasMj3xzC5yYS4RhDXu5+HplGBMZ2xX4e5FQecH2zlZHGX6NN/pk mSwSPXbY47mdypC+gJ2wUlsgHL4v+K4+rgz7P9s78z+aJaxv6J0vtqHiNx/S 6/KZJUzB/9zBk8pwTrjwsNfeWcIga97dx14Z2K9cPVA4PkOsCJ+zK3FRhr+M wLYxNEN0bZ8xPnpeGe7JNmVEV00Rdq/HFW9EKYMw/0mXQ2/HidNBRxb33laG ore/hJmB44TPkdxfAneUoZQRsirbcJy4PuUTGX1PGYIcZzlY38eIrM1zC/eT lWHKbmLkVv8oMVfC+vnkBcWXhW3UdpF/RPR3gYiyCmXonIxbSN7WSySkuTuH VSoDCv2gf/FDD5HmXb1z91dlcCneMcy+rYfIl4ie/1qtDKtPRXJqbu0mWo/R nOt/KIM3PfqsiHYnodolvbOzSxkqjVZEGWu3Euty/RTSe5ThR6p3fI56C7El tGXOsU8ZjPakjuUpNxPGqsmvBgaVYUT9dXeiSCPh5aaoMDamDKHVZdGWvfVE wNarc28mlGFza2QRZ8t3IlSws8F7ShkCeT5yutfUEXHZaTdnZ5UhbJ0Da9yj hkgN5HAqmleGeqtvf4zNq4gXhx13BCxSz/PlCmzR/0rkMsvlty0rw1t+/T2l ypXEhwmVORaLyl+TdXyYt4L4D+BJd+c= "]]}, "Charting`Private`Tag#1"]}}, {}}, <| "HighlightElements" -> <| "Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>, "LayoutOptions" -> <| "PlotRange" -> {{0, 10}, {-2.1908894491588415`, 2.190890227286127}}, "Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> { Directive[ Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]]}, "HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "ScalingFunctions" -> {{Identity, Identity}, { Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>, "Meta" -> <| "DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" -> Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]]}, { DisplayFunction -> Identity, DisplayFunction -> Identity, DisplayFunction -> Identity, AspectRatio -> NCache[GoldenRatio^(-1), 0.6180339887498948], Axes -> {True, True}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{False, False}, {False, False}}, FrameLabel -> {{None, None}, {None, None}}, FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "DefaultPlotStyle" -> { Directive[ RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], Directive[ RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], Directive[ RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2]], Directive[ RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[2]], Directive[ RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[2]], Directive[ RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[2]], Directive[ RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[2]], Directive[ RGBColor[1, 0.75, 0], AbsoluteThickness[2]], Directive[ RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[2]], Directive[ RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[2]], Directive[ RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[2]], Directive[ RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[2]], Directive[ RGBColor[ 0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[2]], Directive[ RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[2]], Directive[ RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[2]]}, "DomainPadding" -> Scaled[0.02], "PointSizeFunction" -> "SmallPointSize", "RangePadding" -> Scaled[0.05], "OptimizePlotMarkers" -> True, "IncludeHighlighting" -> "CurrentSet", "HighlightStyle" -> Automatic, "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& )}}, PlotLabel -> FormBox["\"v(t)\"", TraditionalForm], PlotRange -> {{0, 10.400000000000004`}, {-2.36544, 2.4366468717806686`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks -> {Automatic, Automatic}}], FormBox[ TagBox[ GridBox[{{ FormBox[ TemplateBox[{"\"dt=0.01\"", "\"dt=0.4\""}, "PointLegend", DisplayFunction -> (StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], { LineBox[{{0, 12.5}, {20, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], { LineBox[{{0, 12.5}, {20, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #2}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> { "Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False]& ), InterpretationFunction :> (RowBox[{"PointLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"PointSize", "[", "0.004583333333333334`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.368417, 0.506779, 0.709798]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"PointSize", "[", "0.004583333333333334`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.880722, 0.611041, 0.142051]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"False", ",", "Automatic"}], "}"}], ",", RowBox[{"{", RowBox[{"False", ",", "Automatic"}], "}"}]}], "}"}]}], ",", RowBox[{"Joined", "\[Rule]", RowBox[{"{", RowBox[{"True", ",", "True"}], "}"}]}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), Editable -> True], TraditionalForm]}, { FormBox[ TemplateBox[{"\"Analytisch\""}, "LineLegend", DisplayFunction -> (StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], { LineBox[{{0, 12.5}, {40, 12.5}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], AbsoluteThickness[2], RGBColor[1, 0, 0], Dashing[{Small, Small}]], {}}}, AspectRatio -> Full, ImageSize -> {40, 12.5}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.18000000000000002`] -> Baseline)], #}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> { "Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False]& ), InterpretationFunction :> (RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "2", "]"}], ",", TemplateBox[<|"color" -> RGBColor[1, 0, 0]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"Dashing", "[", RowBox[{"{", RowBox[{"Small", ",", "Small"}], "}"}], "]"}]}], "]"}], "}"}], ",", RowBox[{"{", #, "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& ), Editable -> True], TraditionalForm]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0}}}], "Grid"], TraditionalForm]}, "Legended", DisplayFunction->(GridBox[{{ TagBox[ ItemBox[ PaneBox[ TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"], ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> Automatic, BaselinePosition -> {1, 1}]& ), Editable->True, InterpretationFunction->(RowBox[{"Legended", "[", RowBox[{#, ",", RowBox[{"Placed", "[", RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output", CellChangeTimes->{{3.928921286223083*^9, 3.928921314648696*^9}, 3.92918366800307*^9, 3.929183726237211*^9, {3.929183757702714*^9, 3.929183908353428*^9}, {3.929183973883013*^9, 3.929184022838724*^9}, { 3.929184073049663*^9, 3.9291840884184713`*^9}, 3.9291843161668*^9, 3.929368582043*^9, 3.9294182478602037`*^9, 3.92942983956432*^9, 3.9294342948714447`*^9}, CellLabel->"Out[63]=",ExpressionUUID->"6ceebc29-3ba7-44bf-9622-4a9e4db84c32"] }, Open ]] }, Open ]] }, Open ]] }, WindowSize->{658.5, 718.5}, WindowMargins->{{Automatic, -1440.75}, {Automatic, 0}}, DockedCells->{}, FrontEndVersion->"13.3 for Linux x86 (64-bit) (July 24, 2023)", StyleDefinitions->"Default.nb", ExpressionUUID->"75d25fc7-d9af-46c7-ac86-3a5dd2191ecb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[558, 20, 219, 3, 29, "Input",ExpressionUUID->"1e6115ea-cb4c-429c-be4f-790d4d1d31c1"], Cell[CellGroupData[{ Cell[802, 27, 356, 5, 117, "Chapter",ExpressionUUID->"d64facf9-cde0-44d8-9a21-ec4ca1aa32c4"], Cell[CellGroupData[{ Cell[1183, 36, 244, 7, 81, "Subsection",ExpressionUUID->"23432cad-5230-40b5-a317-c8c4980d7eee"], Cell[1430, 45, 857, 17, 166, "Text",ExpressionUUID->"0c994294-8b24-46b0-af70-a078d2ebd91a"], Cell[2290, 64, 436, 11, 74, "Text",ExpressionUUID->"f6256c2e-429f-48d0-b4be-914d6cf36107"], Cell[CellGroupData[{ Cell[2751, 79, 692, 18, 70, "Input",ExpressionUUID->"0fee0596-8059-41aa-ab38-ff969c95e05e"], Cell[3446, 99, 16303, 309, 244, "Output",ExpressionUUID->"e7f5a9f6-eacd-4a56-989c-7bb8d745cd1f"], Cell[19752, 410, 279, 5, 50, "Output",ExpressionUUID->"6ebdf605-c76a-471b-b750-05de91e8aee1"], Cell[20034, 417, 260, 3, 33, "Output",ExpressionUUID->"46fec52b-90e3-40f9-b653-5d294e0e25a5"] }, Open ]], Cell[CellGroupData[{ Cell[20331, 425, 858, 22, 90, "Input",ExpressionUUID->"6969031d-d346-45cf-903b-1228ea397fe6"], Cell[21192, 449, 796, 16, 62, "Message",ExpressionUUID->"2d298218-bd6e-4685-ab5c-4b7ccebc93af"], Cell[21991, 467, 795, 15, 62, "Message",ExpressionUUID->"da376ada-0a61-42d8-b24c-7833841250d4"], Cell[22789, 484, 797, 16, 62, "Message",ExpressionUUID->"9b7eae09-ed72-4131-9ae9-0d965cada248"], Cell[23589, 502, 499, 11, 28, "Message",ExpressionUUID->"3d9fa4b3-2627-45bc-af08-f4e4d5eb4098"] }, Open ]], Cell[CellGroupData[{ Cell[24125, 518, 2377, 60, 210, "Input",ExpressionUUID->"9c33f2b9-560a-4ce4-9a5e-a1b77cc84d08"], Cell[26505, 580, 13318, 389, 239, "Output",ExpressionUUID->"60d28ebc-7574-4a16-88b9-d9bfb5c67f45"] }, Open ]], Cell[CellGroupData[{ Cell[39860, 974, 1801, 50, 170, "Input",ExpressionUUID->"51f64ef4-b4a9-40c9-9c90-376ade30a081"], Cell[41664, 1026, 4826, 85, 239, "Output",ExpressionUUID->"b967b9e7-2cde-4921-b667-9895b0b08f43"] }, Open ]], Cell[46505, 1114, 693, 14, 90, "Input",ExpressionUUID->"80418c5c-0b5c-4b54-bb4f-93e2a9e20409"] }, Open ]], Cell[CellGroupData[{ Cell[47235, 1133, 322, 5, 54, "Subsection",ExpressionUUID->"81f65acf-4ce5-4bdd-a26f-c212e099ea35"], Cell[47560, 1140, 6298, 148, 272, "Text",ExpressionUUID->"dca6c4bb-3fc0-4683-9406-d7b66e69e308"], Cell[53861, 1290, 600, 13, 51, "Text",ExpressionUUID->"1396b715-7b91-43f6-922e-830a151d4cc1"], Cell[CellGroupData[{ Cell[54486, 1307, 1083, 31, 94, "Input",ExpressionUUID->"9af4ea99-9018-4777-b34e-a6e3d19a2ca0"], Cell[55572, 1340, 119517, 2026, 366, "Output",ExpressionUUID->"6540236a-d96d-41da-bce3-5d592a637886"] }, Open ]], Cell[CellGroupData[{ Cell[175126, 3371, 3605, 93, 199, "Input",ExpressionUUID->"82527c0d-7bb2-4fd3-8c27-542224e4d5b1"], Cell[178734, 3466, 1260, 35, 35, "Output",ExpressionUUID->"05939567-a788-4709-9306-26fc638021f7"], Cell[179997, 3503, 989, 25, 33, "Output",ExpressionUUID->"2a00d71c-5ed5-4487-9e66-8d086292b51a"] }, Open ]], Cell[CellGroupData[{ Cell[181023, 3533, 2372, 48, 156, "Input",ExpressionUUID->"930b2791-f835-4560-b18b-a368e28376ca"], Cell[183398, 3583, 505669, 8330, 65, "Output",ExpressionUUID->"1ec32007-63ba-4b12-b3d2-ccb1bcd67fb3"] }, Open ]], Cell[CellGroupData[{ Cell[689104, 11918, 448, 9, 29, "Input",ExpressionUUID->"d2491f31-2ca2-40e3-83db-0d0cd88a240f"], Cell[689555, 11929, 504865, 8320, 65, "Output",ExpressionUUID->"637f66f1-f4a9-4a0a-9f46-43f948432525"] }, Open ]], Cell[CellGroupData[{ Cell[1194457, 20254, 1280, 32, 116, "Input",ExpressionUUID->"6cad860a-6deb-4e9d-8a18-437e9ff288df"], Cell[1195740, 20288, 453427, 7728, 421, "Output",ExpressionUUID->"dc7ab7ec-29f9-416d-a8d8-b503b4529e11"] }, Open ]], Cell[CellGroupData[{ Cell[1649204, 28021, 1043, 27, 116, "Input",ExpressionUUID->"3666d2b6-a82d-427f-957a-6432cc75b2ae"], Cell[1650250, 28050, 2234, 43, 436, "Output",ExpressionUUID->"fb5acbb3-295d-42b8-8262-b1dda9178c48"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1652533, 28099, 325, 5, 54, "Subsection",ExpressionUUID->"2edcc4ce-8d47-43a9-bbf6-269b44ac30a8"], Cell[1652861, 28106, 6443, 156, 437, "Text",ExpressionUUID->"5ff27437-36cf-42e7-914e-89e95677612e"], Cell[1659307, 28264, 1089, 27, 120, "Text",ExpressionUUID->"1b9b1820-c35d-47fa-ae7b-539fd320cdba"], Cell[CellGroupData[{ Cell[1660421, 28295, 1970, 49, 170, "Input",ExpressionUUID->"e94d377b-09ea-4c72-be12-a4037f24c1e5"], Cell[1662394, 28346, 486, 7, 33, "Output",ExpressionUUID->"a7d4b81c-9bda-48b6-8d13-3b18c6b25f89"], Cell[1662883, 28355, 488, 7, 33, "Output",ExpressionUUID->"11983235-b199-4c93-8721-be02eab0e8ef"] }, Open ]], Cell[1663386, 28365, 1237, 28, 50, "Input",ExpressionUUID->"1e827fe7-3b3d-4959-9b87-1434d6889372"], Cell[CellGroupData[{ Cell[1664648, 28397, 228, 4, 29, "Input",ExpressionUUID->"313f5104-1eb1-45af-89f2-c0baaca6b55d"], Cell[1664879, 28403, 1392, 39, 135, "Output",ExpressionUUID->"3d893f42-e8fd-43f0-8d18-9281737aa875"] }, Open ]], Cell[CellGroupData[{ Cell[1666308, 28447, 880, 18, 92, "Input",ExpressionUUID->"f8f6085f-be20-4c0e-b7ab-7de1e5096ad4"], Cell[1667191, 28467, 8994, 210, 230, "Output",ExpressionUUID->"def14bf6-98fe-4d49-bc17-d0173969e1a9"] }, Open ]], Cell[1676200, 28680, 1633, 39, 70, "Input",ExpressionUUID->"dd485afb-599c-47c7-83c8-9a6953c65eb9"], Cell[CellGroupData[{ Cell[1677858, 28723, 1199, 29, 70, "Input",ExpressionUUID->"c890b845-487a-46e3-a3a9-78ff88fedb37"], Cell[1679060, 28754, 77245, 1394, 246, "Output",ExpressionUUID->"69057c39-934c-448b-80dd-05d341773495"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1756354, 30154, 307, 5, 54, "Subsection",ExpressionUUID->"8c4f473a-1422-457a-9abc-01d6455c0083"], Cell[1756664, 30161, 3366, 82, 128, "Text",ExpressionUUID->"eec1f6e5-df75-4341-8880-d804f815ce28"], Cell[1760033, 30245, 559, 15, 51, "Text",ExpressionUUID->"8c226efe-4988-4965-b950-b66da8406496"], Cell[1760595, 30262, 217, 4, 35, "Text",ExpressionUUID->"9a354085-2176-46d8-81c9-20910600535d"], Cell[CellGroupData[{ Cell[1760837, 30270, 2024, 58, 190, "Input",ExpressionUUID->"f4e37abe-3e91-4ab6-9767-79de6db0eb9f"], Cell[1762864, 30330, 427, 10, 28, "Message",ExpressionUUID->"67791874-9c88-4e56-b236-b522a945f2f9"], Cell[1763294, 30342, 150236, 2549, 65, "Output",ExpressionUUID->"0f364d55-35f9-4755-9ff6-2ba4fa513d84"], Cell[1913533, 32893, 272, 6, 33, "Output",ExpressionUUID->"e097e641-e3b4-4dca-b8bb-29759c773d3b"], Cell[1913808, 32901, 450, 12, 33, "Output",ExpressionUUID->"81977182-130d-47ee-b3b5-58fa53f6f003"], Cell[1914261, 32915, 528, 14, 35, "Output",ExpressionUUID->"46fd72e1-126f-418e-acb2-a473c006deb0"], Cell[1914792, 32931, 40475, 746, 65, "Output",ExpressionUUID->"abb121de-e515-4ba7-9a2a-168d10b865be"] }, Open ]], Cell[CellGroupData[{ Cell[1955304, 33682, 912, 23, 74, "Input",ExpressionUUID->"fde64c03-1458-468d-9237-36b2c6c876c5"], Cell[1956219, 33707, 28756, 568, 236, "Output",ExpressionUUID->"7ef2fba9-6823-40c8-bed1-8f1efe9c390b"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1985024, 34281, 205, 4, 54, "Subsection",ExpressionUUID->"a8035bea-e525-4423-8c84-225cdc45482c"], Cell[1985232, 34287, 5775, 134, 237, "Text",ExpressionUUID->"43498629-e356-4c77-80b8-e9fcab297361"], Cell[1991010, 34423, 722, 15, 51, "Text",ExpressionUUID->"57213f74-b610-4fd9-992a-1afcbc57a3ce"], Cell[CellGroupData[{ Cell[1991757, 34442, 1194, 26, 50, "Input",ExpressionUUID->"9501511c-8fc2-4e5d-be61-cdb9fabfdc34"], Cell[1992954, 34470, 42104, 732, 239, "Output",ExpressionUUID->"e2d83748-4122-4293-8c03-161769e7ef1f"] }, Open ]], Cell[2035073, 35205, 55718, 1726, 851, "Input",ExpressionUUID->"eefe058f-c8b4-478a-984d-36f8b2be723f"], Cell[CellGroupData[{ Cell[2090816, 36935, 1953, 54, 134, "Input",ExpressionUUID->"ffe0c812-05c2-4ce1-a5a8-36a3ca936883"], Cell[2092772, 36991, 31121, 602, 65, "Output",ExpressionUUID->"3c30eb92-2f5b-413a-8653-9bb13eab37e3"] }, Open ]], Cell[CellGroupData[{ Cell[2123930, 37598, 544, 14, 90, "Input",ExpressionUUID->"6b81c177-f52d-4269-a75b-5e510471eea1"], Cell[2124477, 37614, 31194, 604, 65, "Output",ExpressionUUID->"dccbc3e0-ffe1-44e5-a48e-d1539478284c"] }, Open ]], Cell[CellGroupData[{ Cell[2155708, 38223, 1067, 21, 50, "Input",ExpressionUUID->"6bfb04ef-a863-4d78-8496-b2af2615c791"], Cell[2156778, 38246, 95916, 1645, 244, "Output",ExpressionUUID->"594b2331-334d-4787-aa5c-66be94eb74cc"] }, Open ]], Cell[CellGroupData[{ Cell[2252731, 39896, 1121, 26, 50, "Input",ExpressionUUID->"1832ab66-6ca0-4d3c-a5ed-b33ce9786728"], Cell[2253855, 39924, 316929, 5267, 236, "Output",ExpressionUUID->"6685a7c2-da6e-4259-8bc4-110fbb619b24"] }, Open ]], Cell[2570799, 45194, 506, 11, 70, "Input",ExpressionUUID->"5779bdd6-6bf6-4afb-a2de-ca3d97c76386"] }, Open ]], Cell[CellGroupData[{ Cell[2571342, 45210, 255, 4, 54, "Subsection",ExpressionUUID->"e8ae6ba6-96a5-4994-9ba2-b6fd7fc43846"], Cell[2571600, 45216, 1537, 26, 122, "Text",ExpressionUUID->"dcf7572b-ff97-4210-87e7-4fb6d8188322"], Cell[2573140, 45244, 674, 17, 74, "Text",ExpressionUUID->"e897ea03-112e-47be-b9d0-4c16da5d6297"], Cell[CellGroupData[{ Cell[2573839, 45265, 908, 23, 50, "Input",ExpressionUUID->"4b0e817d-0456-4464-9d3e-9eec51784993"], Cell[2574750, 45290, 34008, 600, 239, "Output",ExpressionUUID->"5210ce92-435b-4064-8faa-7b69d358969b"] }, Open ]], Cell[CellGroupData[{ Cell[2608795, 45895, 507, 11, 29, "Input",ExpressionUUID->"ac365fe7-38e3-4bc1-a47e-5c2aa98f95ca"], Cell[2609305, 45908, 775, 16, 35, "Output",ExpressionUUID->"d1c49e05-e031-44b9-93d9-75539ee64e38"] }, Open ]], Cell[CellGroupData[{ Cell[2610117, 45929, 1776, 42, 179, "Input",ExpressionUUID->"c0ceadcb-4b03-412c-b93b-22bc64f4036e"], Cell[2611896, 45973, 480, 8, 23, "Print",ExpressionUUID->"0f83f1b4-8df4-4b4b-94a2-da7e5cebcab0"], Cell[2612379, 45983, 711, 17, 58, "Output",ExpressionUUID->"41efed2c-1a64-448d-b72f-7c4470739a4c"] }, Open ]], Cell[CellGroupData[{ Cell[2613127, 46005, 872, 23, 90, "Input",ExpressionUUID->"2d9d732a-5856-48d5-9715-ca39e7d23c97"], Cell[2614002, 46030, 480, 9, 33, "Output",ExpressionUUID->"17220e5b-595c-4a6b-b48c-7894f48a65ec"], Cell[2614485, 46041, 432, 8, 33, "Output",ExpressionUUID->"c1c0870a-8097-4e47-b994-8dc4bb27a032"], Cell[2614920, 46051, 406, 7, 33, "Output",ExpressionUUID->"c44a7c67-a93b-43a8-aa79-b652882356a4"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[2615375, 46064, 320, 5, 54, "Subsection",ExpressionUUID->"43cba288-ba28-4e34-a72b-8a11b306f21a"], Cell[2615698, 46071, 14480, 365, 703, "Text",ExpressionUUID->"be039d1d-af75-4238-a10b-1d9e1eb4177e"], Cell[2630181, 46438, 1749, 42, 283, "Text",ExpressionUUID->"8dde55ba-7f71-4186-8a6b-60b60c8b1d25"], Cell[CellGroupData[{ Cell[2631955, 46484, 6743, 166, 705, "Input",ExpressionUUID->"56a26e98-d1c3-4679-b7d2-78cec8078825"], Cell[2638701, 46652, 886, 17, 35, "Output",ExpressionUUID->"f8cc5c51-a02c-4522-981b-a6ba1f356fd4"], Cell[2639590, 46671, 858, 15, 35, "Output",ExpressionUUID->"c55eece6-4406-4a52-9597-f1180530ac55"] }, Open ]], Cell[CellGroupData[{ Cell[2640485, 46691, 2380, 59, 243, "Input",ExpressionUUID->"e7320cd0-7c0c-40d5-bef5-ffc9a3f23fab"], Cell[2642868, 46752, 131904, 2296, 249, "Output",ExpressionUUID->"df8d94a6-0759-41c1-8b4c-235e21c1c23b"], Cell[2774775, 49050, 139611, 2439, 254, "Output",ExpressionUUID->"6ceebc29-3ba7-44bf-9622-4a9e4db84c32"] }, Open ]] }, Open ]] }, Open ]] } ] *)