{ "cells": [ { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "5092c7afaefdd135e9d53e7975526cb1", "grade": false, "grade_id": "cell-23f9a13fcbe0410a", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "# Exercise Sheet No. 4\n", "\n", "---\n", "\n", "> Machine Learning for Natural Sciences, Summer 2024, Jun.-Prof. Pascal Friederich\n", "> \n", "> Deadline: Monday 13.05.2024, 8:00 am\n", ">\n", "> Tutor: houssam.metni@kit.edu\n", ">\n", "> **Please ask questions in the forum/discussion board and only contact the Tutor when there are issues with the grading**\n", "\n", "\n", "---\n", "\n", "**Topic**: \n", "This exercise sheet (30 points in total) will focus on the math basics for ML. You will implement another simple ML algorithm, **linear regression** (LR), instead of decision tree to work on the same task you have already seen in exercise 02. **Gradient descent**, **mean square error loss function**, and **mean absolute error function** are covered in this exercise. And you will learn to use **ridge regression** to control overfitting." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Please add here your group members' names and student IDs. \n", "\n", "You are encouraged to work in groups of a maximum of 3 people, however **each of you** has to submit a solution.\n", "\n", "Names: Nils Lennart Bruns\n", "\n", "IDs: usxfs" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "360b7dea4e70d318a3a68747cacdd12e", "grade": false, "grade_id": "cell-6754d0c5a478283c", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "# Linear Regression\n", "In assignment 2, we have seen the use of decision tree for iris species classification. Now, let's try to solve the same problem with another simple machine learning technique: linear regression (LR). \n", "\n", "As you may have already learned from the lecture, linear regression uses a linear combination of features to predict a target. In our case we can use a linear combination of the four flower descriptors to predict the species.\n", "\n", "In this assignment, you will learn to implement the Loss function and Gradient Descent for optimization. Then, we will see that even small model like LR can overfit, and how regularization (ridge regression) can help against this problem." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "16654fb7e625c1cfc9ea81066e431564", "grade": false, "grade_id": "cell-f0182e7ff17a28e8", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# package imports\n", "\n", "import sys\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "import warnings\n", "import random\n", "from functools import wraps\n", "warnings.filterwarnings('ignore')\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "c85a1f4f71c05ff0d236a0fed190d64f", "grade": false, "grade_id": "cell-1cb644d0633a97e5", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Preprocessing\n", "Let's start with preprocessing the dataset, as already learned from assignment 2." ] }, { "cell_type": "code", "execution_count": 372, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "eea425174c2f1a188162c1b52d6e65b7", "grade": false, "grade_id": "cell-a78771134cc322bc", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "#preprocessing functions\n", "\n", "def log_name(func):\n", " @wraps(func)\n", " def wrapper(*args, **kwargs):\n", " result = func(*args, **kwargs)\n", " print(f\"\\n{func.__name__}:\")\n", " return result\n", " return wrapper\n", "\n", "def log_shape(func):\n", " @wraps(func)\n", " def wrapper(*args, **kwargs):\n", " result = func(*args, **kwargs)\n", " print(f\"\\tshape: {result.shape}\")\n", " return result\n", " return wrapper\n", "\n", "def log_columns(func):\n", " @wraps(func)\n", " def wrapper(*args, **kwargs):\n", " result = func(*args, **kwargs)\n", " print(f\"\\tcolumns: {result.columns.values}\")\n", " return result\n", " return wrapper\n", "\n", "@log_columns\n", "@log_shape\n", "@log_name\n", "def load(df, path):\n", " \"\"\"Loads the dataset from path.\"\"\"\n", " df = pd.read_csv(path)\n", " return df\n", "\n", "@log_columns\n", "@log_shape\n", "@log_name\n", "def remove_nan(df):\n", " for col in df.columns:\n", " df = df[df[col].notna()]\n", " return df\n", "\n", "@log_columns\n", "@log_shape\n", "@log_name\n", "def convert_to_categorical(df, col_name: str):\n", " df[col_name] = df[col_name].astype('category')\n", " return df\n", "\n", "@log_columns\n", "@log_shape\n", "@log_name\n", "def add_class_labels(df, target):\n", " df['class'] = df[target].cat.codes\n", " return df\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "b04b7efdd5617c401ab7bac0e4aacf2e", "grade": false, "grade_id": "cell-f817dca59ba7ffea", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "In the first part of this tutorial, we will be working with a penguins dataset, containing a list of physical characteristics of several studied penguins, along with their biological sex (Male/Female), which will be our target variable to predict.\n", "\n", "\"drawing\"" ] }, { "cell_type": "code", "execution_count": 373, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "c87c29a5ce8835ca68b4f765548e200a", "grade": false, "grade_id": "cell-7c48e3e08aee0a3c", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "load:\n", "\tshape: (343, 7)\n", "\tcolumns: ['species' 'island' 'culmen_length_mm' 'culmen_depth_mm'\n", " 'flipper_length_mm' 'body_mass_g' 'sex']\n", "\n", "remove_nan:\n", "\tshape: (333, 7)\n", "\tcolumns: ['species' 'island' 'culmen_length_mm' 'culmen_depth_mm'\n", " 'flipper_length_mm' 'body_mass_g' 'sex']\n", "\n", "convert_to_categorical:\n", "\tshape: (333, 7)\n", "\tcolumns: ['species' 'island' 'culmen_length_mm' 'culmen_depth_mm'\n", " 'flipper_length_mm' 'body_mass_g' 'sex']\n", "\n", "add_class_labels:\n", "\tshape: (333, 8)\n", "\tcolumns: ['species' 'island' 'culmen_length_mm' 'culmen_depth_mm'\n", " 'flipper_length_mm' 'body_mass_g' 'sex' 'class']\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
speciesislandculmen_length_mmculmen_depth_mmflipper_length_mmbody_mass_gsexclass
0AdelieTorgersen39.118.7181.03750.0MALE1
1AdelieTorgersen39.517.4186.03800.0FEMALE0
2AdelieTorgersen40.318.0195.03250.0FEMALE0
4AdelieTorgersen36.719.3193.03450.0FEMALE0
5AdelieTorgersen39.320.6190.03650.0MALE1
\n", "
" ], "text/plain": [ " species island culmen_length_mm culmen_depth_mm flipper_length_mm \\\n", "0 Adelie Torgersen 39.1 18.7 181.0 \n", "1 Adelie Torgersen 39.5 17.4 186.0 \n", "2 Adelie Torgersen 40.3 18.0 195.0 \n", "4 Adelie Torgersen 36.7 19.3 193.0 \n", "5 Adelie Torgersen 39.3 20.6 190.0 \n", "\n", " body_mass_g sex class \n", "0 3750.0 MALE 1 \n", "1 3800.0 FEMALE 0 \n", "2 3250.0 FEMALE 0 \n", "4 3450.0 FEMALE 0 \n", "5 3650.0 MALE 1 " ] }, "execution_count": 373, "metadata": {}, "output_type": "execute_result" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "import requests\n", "\n", "url = 'https://bwsyncandshare.kit.edu/s/Nfi5CZkNEScCsq8/download'\n", "response: str = requests.get(url).content.decode('utf-8')\n", "with open('penguins.csv', 'w') as file:\n", " file.write(response)\n", "\n", "# reading and preprocessing\n", "\n", "df = pd.DataFrame()\n", "df = (\n", " df.pipe(load, 'penguins.csv')\n", " .pipe(remove_nan)\n", " .pipe(convert_to_categorical, 'sex')\n", " .pipe(add_class_labels, 'sex')\n", ")\n", "\n", "df.head()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "acde1a26428d7c1a98aae28126030ae4", "grade": false, "grade_id": "cell-0b250c3f733fc1f4", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Plot the data\n", "It is always a good practice to have some inspection on the dataset. This provides us with information about the data such as its structure, range, outliers etc., which may help on the design of ML algorithm. There are numerous ways to visualize data, and introduced here is a histogram visualization. This can be implemented easily with the [seaborn](https://seaborn.pydata.org/generated/seaborn.histplot.html) library. Here we used it to show the distribution of the features, distinguished by the target variable. " ] }, { "cell_type": "code", "execution_count": 374, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "dbf5607fff2d54d3251c182f88f796f8", "grade": false, "grade_id": "cell-c93bdadb5f7d9cc7", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAJNCAYAAACsgOMnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAACJk0lEQVR4nOzdeVxU9f4/8NewDfugEJuiYOCSqLl0DbNwXzOVblqWa4vmklwqzazEUlFTUtO86i2wezPu/d3Qr7fcMBErd4S0NFRC5RKECzsIwnx+f3A5ObIIzMw5M8zr+XjMQ+ecw3m/zxmdN+/zOYtKCCFARERERESkByulEyAiIiIiIvPHxoKIiIiIiPTGxoKIiIiIiPTGxoKIiIiIiPTGxoKIiIiIiPTGxoKIiIiIiPTGxoKIiIiIiPTGxoKIiIiIiPRmo3QCxqbVavHbb7/BxcUFKpVK6XSIiEyOEAJFRUVwcXGBq6urRX1XskYQETWspkb4+vrCyqrhMYkW31j89ttv8PPzUzoNIiKzUFBQAFdXV6XTkA1rBBFR42RmZqJt27YNLtPiGwsXFxcA1TvDkoolEVFjFRYWws/PD5mZmdJ3pqmJiorC22+/jfnz52PdunUAqo+iLV26FFu3bkVeXh769u2LTZs2oWvXro1eL2sEEVHDampEY+pDi28saoa2XV1dWTSIiBpgqqdBnTp1Clu3bkX37t11pq9evRrR0dGIjY1Fx44dsWzZMgwdOhRpaWmNbpBYI4iIGqcx9YEXbxMRkckqLi7G888/j23btqFVq1bSdCEE1q1bh8WLFyMsLAzBwcHYvn07SktLsWPHDgUzJiKyXGwsiIjIZM2ZMwejR4/GkCFDdKZnZGQgJycHw4YNk6ap1WqEhobi6NGj9a6vvLwchYWFOi8iIjKMFn8qFBERmae4uDicOXMGp06dqjUvJycHAODl5aUz3cvLC1evXq13nVFRUVi6dKlhEyUiIgBsLIjIyIQQqKysRFVVldKpWDRra2vY2NiY5DUUdcnMzMT8+fNx4MAB2Nvb17vcvdsjhGhwGxctWoSIiAjpfc1FiUSkDNYI5RmyPrCxICKjqaioQHZ2NkpLS5VOhQA4OjrCx8cHdnZ2SqdyX8nJycjNzUXv3r2laVVVVThy5Ag2btyItLQ0ANUjFz4+PtIyubm5tUYx7qZWq6FWq42XOBE1GmuE6TBUfWBjQURGodVqkZGRAWtra/j6+sLOzs5sjpa3NEIIVFRU4Pr168jIyEBQUNB9H3KktMGDB+PcuXM606ZPn47OnTtj4cKF6NChA7y9vZGQkICePXsCqP4lJSkpCatWrVIiZSJqAtYI02Do+sDGgoiMoqKiAlqtFn5+fnB0dFQ6HYvn4OAAW1tbXL16FRUVFQ2eXmQKXFxcEBwcrDPNyckJ7u7u0vTw8HCsWLECQUFBCAoKwooVK+Do6IhJkyYpkTIRNQFrhOkwZH1gY0Gkp4wbJSgpr5QllpPaBgEeTrLEMhRTPzJuSVraZ7FgwQKUlZVh9uzZ0gPyDhw4YLIP+SNqLDnryt2UqDEt7XvJXBnqc2BjQaSHjBslGLjmsKwxE98YYHbNBZEhHD58WOe9SqVCZGQkIiMjFcmHyBiUqCt3Y40hfbCxINJDzRGlOQMD0cbNwaixsvLLsCnxsiJHsQwuPxMovSlfPEd3wI13/iEi0ydnXbmbydQY1gezxsaCyADauDnwCE9j5WcCmx4B7pTJF9PWAZhzSpHiceXKFQQEBCAlJQUPP/yw7PGJyDxZZF2xsPoAtLwawcaCiORVerO6aDz+OqCR4Yu8IBP4bm113EYWjmnTpmH79u2YOXMm/vrXv+rMmz17NjZv3oypU6ciNjbWCAkTEVkoM6gPAGtEQ9hYEJEyNH6Ae6DSWdTLz88PcXFx+Oijj+DgUH06wu3bt/Hll1+iXbt2CmdHRNSCmXh9AFgj6sNL8YmI6tCrVy+0a9cO8fHx0rT4+Hj4+flJz00AgH379qF///5wc3ODu7s7nnzySaSnpze47vPnz2PUqFFwdnaGl5cXJk+ejBs3bhhtW4iIyLBYI+rGxoKIqB7Tp09HTEyM9P6zzz7DjBkzdJYpKSlBREQETp06hW+//RZWVlYYP348tFptnevMzs5GaGgoHn74YZw+fRr79u3D77//jgkTJhh1W4iIyLBYI2rjqVBERPWYPHkyFi1ahCtXrkClUuGHH35AXFyczm1Pn376aZ2f+fTTT+Hp6Ynz58/XesAbAGzevBm9evXCihUrpGmfffYZ/Pz8cPHiRXTs2NFo20NERIbDGlEbGwsiqtvNdKC8qPk/XymAKiugogywuuvITOXt6j+r7gCV5X9MV6kAa7vmxzMCDw8PjB49Gtu3b4cQAqNHj4aHh4fOMunp6Xj33Xdx/Phx3LhxQzoKde3atTqLRnJyMhITE+Hs7FxrXnp6uskXDSIiqsYaURsbCyKq7WY68HEv/dbh7Ac8thbIrwJsVH9Mz79a/WdxNmB9z1eQW3uTay5mzJiBuXPnAgA2bdpUa/6YMWPg5+eHbdu2wdfXF1qtFsHBwaioqKhzfVqtFmPGjMGqVatqzfPx8TFs8kREZFSsEbrYWBBRbTUjFXrd8k8N2LQGnH0Ate0fk28XVP9p3xpw8qz+u7YSKLsFCNHslI1lxIgRUgEYPny4zrybN2/iwoUL2LJlCx5//HEAwPfff9/g+nr16oWvvvoK/v7+sLHhVzARkTljjdBlfhkTkXz0ueVflQooswFs7KpfNWpGJIp//2PEoqoSuH2r+k9r29rr0kdBpl4/bm1tjQsXLkh/v1urVq3g7u6OrVu3wsfHB9euXcNbb73V4PrmzJmDbdu24bnnnsObb74JDw8PXL58GXFxcdi2bVutGEREFkfP720547BG6GJjQUTycmgN2DgAxz6WL6atA+Do3uwfd3V1rXO6lZUV4uLi8NprryE4OBidOnXChg0bMGDAgHrX5evrix9++AELFy7E8OHDUV5ejvbt22PEiBGwsuKN+ojIgjm6V39ff7dWvph61geANeJubCyISF6aNsArh6tPfapRVVE9guHWHrCxN3xMR/cmPVX1fk9L3bVrl/T3IUOG4Pz58zrzxV2ndPn7++u8B4CgoCCde58TERGqv6fnnKp+ErZcmlgfANaIhrCxICL5adpUv2pUlgP2GsCjE2DnqFxeRESkLDe/Jv+iT6bD9MdUiIiIiIjI5LGxICIiIiIivbGxICIiIiIivbGxICIiIiIivbGxICIiIiIivbGxICIiIiIivbGxICIiIiIivfE5FkQku6z828grvfPHhKo7QHEFUFEE2N6p/webqZWTHdq4ORh8vURELc71NEBlZ/w4lQKosgIqyqp/G/3fw1Gz8suQV1Jh/Pj/w/pgWGwsiEhWWfm3MXjjady+o61j7g2jxLS3tcK3rw8w6+Lh7++P8PBwhIeHK50KEbVExbnVf8a/DFhdMX48Zz/gsbVAfhVQrAI8uyCrWGDw2sP11AfjaAn1ATCdGsHGgohklVd6B7fvaDHncT+0cVNXT6yqBMryAGcvwEZt0HhZ+WXYlHgZeSUVjS4c06ZNw/bt22tNv3TpEgIDAw2aHxGRSagsr/6z5wuAn4cMAdWATWvA0QOouAlotcgr+V99GBgoyy/6zakPAGtEQ0ymsYiKisLbb7+N+fPnY926dQAAIQSWLl2KrVu3Ii8vD3379sWmTZvQtWtXZZMlIr21cVMjwN2x+k3VHaCkCNA4SsPhShsxYgRiYmJ0pj3wwAMKZUNEJBNnb8Dd3/hxqlRAmQ1gZVtrVhs3BwR4OBk/Bz2wRtTNJC7ePnXqFLZu3Yru3bvrTF+9ejWio6OxceNGnDp1Ct7e3hg6dCiKiooUypSILIVarYa3t7fOy9raGv/5z3/Qu3dv2Nvbo0OHDli6dCkqKyuln1OpVNiyZQuefPJJODo6okuXLjh27BguX76MAQMGwMnJCSEhIUhPT5d+Jj09HWPHjoWXlxecnZ3xyCOP4ODBgw3mV1BQgFdeeQWenp5wdXXFoEGD8OOPPxptfxAR0R9YI+qmeGNRXFyM559/Htu2bUOrVq2k6UIIrFu3DosXL0ZYWBiCg4Oxfft2lJaWYseOHQpmTESWav/+/XjhhRfw2muv4fz589iyZQtiY2OxfPlyneU++OADTJkyBampqejcuTMmTZqEmTNnYtGiRTh9+jQAYO7cudLyxcXFGDVqFA4ePIiUlBQMHz4cY8aMwbVr1+rMQwiB0aNHIycnB3v27EFycjJ69eqFwYMH49atW8bbAUQWJuNGCX7KKpD1dTm3WOnNpmZijTCBU6HmzJmD0aNHY8iQIVi2bJk0PSMjAzk5ORg2bJg0Ta1WIzQ0FEePHsXMmTPrXF95eTnKy8ul94WFhcZLnoharK+//hrOzs7S+5EjR+L333/HW2+9halTpwIAOnTogA8++AALFizAkiVLpGWnT5+OCRMmAAAWLlyIkJAQvPvuuxg+fDgAYP78+Zg+fbq0fI8ePdCjRw/p/bJly7Bz507s3r1bp7jUSExMxLlz55Cbmwu1uvqalDVr1mDXrl3497//jVdeecWAe4LIMmXcKMHANYcVi29vq/ixX2oAa0TdFG0s4uLicObMGZw6darWvJycHACAl5eXznQvLy9cvXq13nVGRUVh6dKlhk2UiCzOwIEDsXnzZum9k5MTAgMDcerUKZ2jT1VVVbh9+zZKS0vh6Fh9zcjdp3XWfId169ZNZ9rt27dRWFgIV1dXlJSUYOnSpfj666/x22+/obKyEmVlZfUejUpOTkZxcTHc3d11ppeVlekMnxNR85WUV5++IteFxHezt7WCj8a871LU0rFG1E2xxiIzMxPz58/HgQMHYG9f/8WaKpVK570Qota0uy1atAgRERHS+8LCQvj5+emfMBFZlJoicTetVoulS5ciLCys1vJ3f4/Z2v5xMWLN91Vd07Ta6lsqvvnmm9i/fz/WrFmDwMBAODg44M9//jMqKuq+l7tWq4WPjw8OHz5ca56bm1vjNpCIGsUcLiQm+bFG1E2xxiI5ORm5ubno3bu3NK2qqgpHjhzBxo0bkZaWBqB65MLHx0daJjc3t9Yoxt3UarU07ENEZEi9evVCWlqawW8n+N1332HatGkYP348gOrzaa9cudJgHjk5ObCxsYG/v79BcyEiouZhjVCwsRg8eDDOnTunM2369Ono3LkzFi5ciA4dOsDb2xsJCQno2bMnAKCiogJJSUlYtWqVEikTkQFl5f9xLVT1cywqgTulgE2VgeOUGWxd7733Hp588kn4+fnhmWeegZWVFc6ePYtz587pXCPWVIGBgYiPj8eYMWOgUqnw7rvvSkeq6jJkyBCEhIRg3LhxWLVqFTp16oTffvsNe/bswbhx49CnT59m50JEpDRDfm/LGYc1QsHGwsXFBcHBwTrTnJyc4O7uLk0PDw/HihUrEBQUhKCgIKxYsQKOjo6YNGmSEikTkQG0crSFva0VNn2XWcfcAqPEtLe1QisnO73XM3z4cHz99dd4//33sXr1atja2qJz58546aWX9FrvRx99hBkzZqBfv37w8PDAwoULG7zxhEqlwp49e7B48WLMmDED169fh7e3N5544okGR3SJiExW5W20sq3+vt6UeFm2sIaqDwBrBGACd4VqyIIFC1BWVobZs2dLD8g7cOAAXFxclE6NiJqpjZs9vp3bB3mld/6YWHUHKM4B3PwBW8M/IK+Vk12TLr6MjY2td97w4cOlO3fURQih897f37/WtAEDBuhM8/f3x6FDh3SWmTNnjs77e4e9XVxcsGHDBmzYsKHeXIiITF7NdbP5V9EGwLcveCCvrP6j8YbWqm2nJl+czxpRP5NqLO69yESlUiEyMhKRkZGK5ENExtHGzR5t3O5qICrLgQI7wMMFsHNULjEiIpKXtS3g1h4Q1c1EGw3QRo64VRVA8e+Aq2FGK6iaSTUWRERERGRhrG3vvwyZBT59hYiIiIiI9MbGgoiIiIiI9MbGgoiM6t6L0kg5/CyIyNTwe8k0GOpzYGNBREZhayUAIVBaVn7/hUkWpaWlAHSf8EpEpATWCNNiqPrAi7eJyCisVYCbTTlyb9wAADg6qKGqua3gvSrvAJUCuF0OaHm8w9CEECgtLUVubi7c3NxgbW2tdEpEZOGaVCOMgXUHgOHrAxsLIjIab/tK4HYpcnN//+Ne5XWpqgTKbgGF1oA1b/1nLG5ubvD29lY6DSIiAE2oEcbAuqPDUPWBjQURGY1KBfg4VMJTVOKOtoGikX8N+GEFMOHvgGeAfAlaEFtbW45UEJFJaXSNMAbWHYkh6wMbCyIyOmsVYG3d0IVh5UBxJmCjAuwN/+RtIiIyXfevEcbAumMMlntSGRERERERGQwbCyIiIiIi0hsbCyIiMjmbN29G9+7d4erqCldXV4SEhGDv3r3SfCEEIiMj4evrCwcHBwwYMAA///yzghkTEREbCyIiMjlt27bFypUrcfr0aZw+fRqDBg3C2LFjpeZh9erViI6OxsaNG3Hq1Cl4e3tj6NChKCoqUjhzIiLLxcaCiIhMzpgxYzBq1Ch07NgRHTt2xPLly+Hs7Izjx49DCIF169Zh8eLFCAsLQ3BwMLZv347S0lLs2LFD6dSJiCwWGwsiIjJpVVVViIuLQ0lJCUJCQpCRkYGcnBwMGzZMWkatViM0NBRHjx5tcF3l5eUoLCzUeRERkWGwsSAiIpN07tw5ODs7Q61WY9asWdi5cyceeugh5OTkAAC8vLx0lvfy8pLm1ScqKgoajUZ6+fn5GS1/IiJLw8aCiIhMUqdOnZCamorjx4/j1VdfxdSpU3H+/HlpvuqeJ/UKIWpNu9eiRYtQUFAgvTIzM42SOxGRJeID8oiIyCTZ2dkhMDAQANCnTx+cOnUK69evx8KFCwEAOTk58PHxkZbPzc2tNYpxL7VaDbVabbykiYgsGEcsiIjILAghUF5ejoCAAHh7eyMhIUGaV1FRgaSkJPTr10/BDImILBtHLIiIyOS8/fbbGDlyJPz8/FBUVIS4uDgcPnwY+/btg0qlQnh4OFasWIGgoCAEBQVhxYoVcHR0xKRJk5ROnYjIYrGxICIik/P7779j8uTJyM7OhkajQffu3bFv3z4MHToUALBgwQKUlZVh9uzZyMvLQ9++fXHgwAG4uLgonDkRkeViY0HyuJkOlMv04Cq1C+D+oDyxiMgoPv300wbnq1QqREZGIjIyUp6EiIjovthYkPHdTAc+7iVvzHln2FwQERERyYiNBRlfzUjF468DGiPfM74gE/hurXyjI0REREQEgI0FyUnjB7gHKp0FERERERkBbzdLRERERER644gFERGRmcm4UYKS8krZ4zqpbRDg4SR7XCIyD2wsiIiIzEjGjRIMXHNYsfiJbwxgc0FEdWJjQUREZEZqRirmDAxEGzcH2eJm5ZdhU+JlRUZKiMg8sLEgIiIyQ23cHDhyQEQmhRdvExERERGR3jhiYULkvhiPF+EREZFZuJku//OJrlfIG4+oBWBjYSKUuhiPF+EREZFJu5kOfNxL/rhafwArgOJcwCNA/vhEZoiNhYmQ+2I8XoRHRERmoWak4vHXqx+0KpfMG8AJAJXl8sUkMnNsLEwML8YjIiKqg8YPcA+UL14ef0UiaipevE1ERERERHpjY0FERERERHpTtLHYvHkzunfvDldXV7i6uiIkJAR79+6V5gshEBkZCV9fXzg4OGDAgAH4+eefFcyYiIiIiIjqomhj0bZtW6xcuRKnT5/G6dOnMWjQIIwdO1ZqHlavXo3o6Ghs3LgRp06dgre3N4YOHYqiIplvOUdERERERA1StLEYM2YMRo0ahY4dO6Jjx45Yvnw5nJ2dcfz4cQghsG7dOixevBhhYWEIDg7G9u3bUVpaih07diiZNhERERER3cNkrrGoqqpCXFwcSkpKEBISgoyMDOTk5GDYsGHSMmq1GqGhoTh69Gi96ykvL0dhYaHOi4iIiIiIjEvxxuLcuXNwdnaGWq3GrFmzsHPnTjz00EPIyckBAHh5eeks7+XlJc2rS1RUFDQajfTy85PxntdERERERBZK8caiU6dOSE1NxfHjx/Hqq69i6tSpOH/+vDRfpVLpLC+EqDXtbosWLUJBQYH0yszMNFruRERERERUTfGnv9jZ2SEwsPqBN3369MGpU6ewfv16LFy4EACQk5MDHx8fafnc3Nxaoxh3U6vVUKvVxk2aiIiIiIh0KD5icS8hBMrLyxEQEABvb28kJCRI8yoqKpCUlIR+/fopmCEREREREd1L0RGLt99+GyNHjoSfnx+KiooQFxeHw4cPY9++fVCpVAgPD8eKFSsQFBSEoKAgrFixAo6Ojpg0aZKSaRMRERER0T2a1VhkZGQgICBA7+C///47Jk+ejOzsbGg0GnTv3h379u3D0KFDAQALFixAWVkZZs+ejby8PPTt2xcHDhyAi4uL3rGJiMg4DFUjiIjIvDSrsQgMDMQTTzyBF198EX/+859hb2/frOCffvppg/NVKhUiIyMRGRnZrPUTEZH8DFUjiIjIvDTrGosff/wRPXv2xOuvvw5vb2/MnDkTJ0+eNHRuRERkhlgjiIgsU7Mai+DgYERHRyMrKwsxMTHIyclB//790bVrV0RHR+P69euGzpOIiMwEawQRkWXS665QNjY2GD9+PP71r39h1apVSE9PxxtvvIG2bdtiypQpyM7ONlSeRERkZlgjiIgsi16NxenTpzF79mz4+PggOjoab7zxBtLT03Ho0CFkZWVh7NixhsqTiIjMDGsEEZFladbF29HR0YiJiUFaWhpGjRqFzz//HKNGjYKVVXWfEhAQgC1btqBz584GTZaIiEwfawQRkWVqVmOxefNmzJgxA9OnT4e3t3edy7Rr1+6+d30iIqKWhzWCiMgyNauxSEhIQLt27aSjTzWEEMjMzES7du1gZ2eHqVOnGiRJIiIyH6wRRESWqVnXWDz44IO4ceNGrem3bt3iQ5GIiCwcawQRkWVqVmMhhKhzenFxMR+ERERk4VgjiIgsU5NOhYqIiABQ/UTs9957D46OjtK8qqoqnDhxAg8//LBBEyQiIvPAGkFEZNma1FikpKQAqD4ade7cOdjZ2Unz7Ozs0KNHD7zxxhuGzZCIiMwCawQRkWVrUmORmJgIAJg+fTrWr18PV1dXoyRFRETmhzWCiMiyNeuuUDExMYbOg4iIWgjWCCIiy9ToxiIsLAyxsbFwdXVFWFhYg8vGx8frnRgREZkP1ggiImp0Y6HRaKBSqaS/ExER1WCNICKiRjcWdw9tc5ibiIjuxhpBRETNusairKwMQgjpVoJXr17Fzp078dBDD2HYsGEGTZCI7nE9DVDZ3X85fdy4aNz1U4vGGkFEZJma1ViMHTsWYWFhmDVrFvLz8/GnP/0JdnZ2uHHjBqKjo/Hqq68aOk8iKs6t/jP+ZcDqijwxbR3kiUMtCmsEEZFlalZjcebMGXz00UcAgH//+9/w9vZGSkoKvvrqK7z33nssGkTGUFle/WfPFwA/D+PHs3UAXNsYPw61OKwRLZwco6Z34wgqkdloVmNRWloKFxcXAMCBAwcQFhYGKysrPProo7h69apBEySiezh7A+7+SmdBVC/WiBZKiVHTu3EElcjkNauxCAwMxK5duzB+/Hjs378ff/nLXwAAubm5fCASEZGFM0SNiIqKQnx8PH755Rc4ODigX79+WLVqFTp16iQtI4TA0qVLsXXrVuTl5aFv377YtGkTunbtapTtsnhyj5rejSOoRGahWY3Fe++9h0mTJuEvf/kLBg8ejJCQEADVR6Z69uxp0ATJuC7nFhs/yPUKOGm9EWD8SERkAgxRI5KSkjBnzhw88sgjqKysxOLFizFs2DCcP38eTk5OAIDVq1cjOjoasbGx6NixI5YtW4ahQ4ciLS1NGjEhI+CoKRHVo1mNxZ///Gf0798f2dnZ6NGjhzR98ODBGD9+vMGSI+Oxt7UCAIT/M1WmiNFILLqJAHeZwhGRYgxRI/bt26fzPiYmBp6enkhOTsYTTzwBIQTWrVuHxYsXSw/k2759O7y8vLBjxw7MnDnTcBtERESN0qzGAgC8vb3h7e2tM+1Pf/qT3gmRPHw0Doie0AO372iNHisrMwObThejpFJl9FhEZBoMXSMKCgoAAK1btwYAZGRkICcnR+f2tWq1GqGhoTh69Gi9jUV5eTnKy8ul94WFhc3OCQAybpSgpLxSr3U0lSwjzWSxLhdZA9erZI3pZAcEaKxljUnG0azGoqSkBCtXrsS3336L3NxcaLW6v5z++uuvBkmOjMtHI9OFcPnN7l+JyAwZukYIIRAREYH+/fsjODgYAJCTkwMA8PLy0lnWy8urwQvEo6KisHTp0ibFr0/GjRIMXHPYIOtqjpqRZyJDsLetPvgXflIDnCyRPX7is05sLlqAZv3G99JLLyEpKQmTJ0+Gj48PVCoeiSYiomqGrhFz587F2bNn8f3339ead++6hRANxlu0aBEiIiKk94WFhfDz82tWXjUjFXMGBqKNm7x3LLK3tZLv4BBZBB9na0TbbMLtbpMBZ0/Z4mYVa7EppQIlFbKFJCNqVmOxd+9efPPNN3jssccMnQ8REZk5Q9aIefPmYffu3Thy5Ajatm0rTa85zSonJwc+Pj7S9Nzc3FqjGHdTq9VQq9V653W3Nm4OCPBwMug6iZTgo7oFuFQBGo6GUfM0619Oq1atpPNciYiI7maIGiGEwNy5cxEfH49Dhw4hIED3vnIBAQHw9vZGQkKCNK2iogJJSUno16+fXrGJiKh5mtVYfPDBB3jvvfdQWlpq6HyIiMjMGaJGzJkzB//4xz+wY8cOuLi4ICcnBzk5OSgrKwNQfQpUeHg4VqxYgZ07d+Knn37CtGnT4OjoiEmTJhlqU4iIqAmadSrU2rVrkZ6eDi8vL/j7+8PW1lZn/pkzZwySHBERmR9D1IjNmzcDAAYMGKAzPSYmBtOmTQMALFiwAGVlZZg9e7b0gLwDBw7wGRZERAppVmMxbtw4A6dBREQthSFqhBDivsuoVCpERkYiMjJS73hERKS/ZjUWS5YsMXQeRETUQrBGEBFZpmZf9p+fn4+//e1vWLRoEW7dugWgeng7KyvLYMkREZF5Yo0gIrI8zRqxOHv2LIYMGQKNRoMrV67g5ZdfRuvWrbFz505cvXoVn3/+uaHzJCIiM8EaQURkmZo1YhEREYFp06bh0qVLsLe3l6aPHDkSR44cMVhyRERkflgjiIgsU7Mai1OnTmHmzJm1prdp0wY5OTl6J0VEROaLNYKIyDI161Qoe3t7FBYW1pqelpaGBx54QO+kSCaFWcCdMuPHKc4BYH/fxYioZWCNICKyTM1qLMaOHYv3338f//rXvwBU3/Lv2rVreOutt/D0008bNEEyksIsIP4VeWIJbwAvAzZqeeIRkaJYI4iILFOzGos1a9Zg1KhR8PT0RFlZGUJDQ5GTk4OQkBAsX7680euJiopCfHw8fvnlFzg4OKBfv35YtWoVOnXqJC0jhMDSpUuxdetW6QFImzZtQteuXZuTOtWoGanoPgFw8jRurCJrIAXGj0NEJsFQNYKIiMxLsxoLV1dXfP/990hMTERycjK0Wi169eqFIUOGNGk9SUlJmDNnDh555BFUVlZi8eLFGDZsGM6fPw8nJycAwOrVqxEdHY3Y2Fh07NgRy5Ytw9ChQ5GWlsanqxqCkyegaWPcGEIL4LZxYxCRyTBUjSAiIvPS5MZCq9UiNjYW8fHxuHLlClQqFQICAuDt7Q0hBFQqVaPXtW/fPp33MTEx8PT0RHJyMp544gkIIbBu3TosXrwYYWFhAIDt27fDy8sLO3bsqPPiQCIiUo4hawQREZmXJjUWQgg89dRT2LNnD3r06IFu3bpBCIELFy5g2rRpiI+Px65du5qdTEFBAQCgdevWAICMjAzk5ORg2LBh0jJqtRqhoaE4evRonY1FeXk5ysvLpfd1XUBILVuG1hsluRWAKDB6rMu5xUaPQWQujF0jiIjItDWpsYiNjcWRI0fw7bffYuDAgTrzDh06hHHjxuHzzz/HlClTmpyIEAIRERHo378/goODAUC6LaGXl5fOsl5eXrh69Wqd64mKisLSpUubHJ9ahowiawysiAbirgO4Lltce9tmP8SeqMUwZo0gIiLT16TG4ssvv8Tbb79dq2AAwKBBg/DWW2/hiy++aFbRmDt3Ls6ePYvvv/++1rx7h84bGk5ftGgRIiIipPeFhYXw8/Nrcj5knkoqq/9dzOnjjDZ+AbLEtLe1go/GQZZYRKbMmDWCiIhMX5Mai7Nnz2L16tX1zh85ciQ2bNjQ5CTmzZuH3bt348iRI2jbtq003dvbG0D1yIWPj480PTc3t9YoRg21Wg21mrc1tXRtXGwQ4OGkdBpEFsVYNYKIiMxDk87fuHXrVr2/0APVpyjl5eU1en1CCMydOxfx8fE4dOgQAgJ0jzDXXPCXkJAgTauoqEBSUhL69evXlNSJiMjIDF0jiIjIvDRpxKKqqgo2NvX/iLW1NSorKxu9vjlz5mDHjh34v//7P7i4uEjXVGg0Gjg4OEClUiE8PBwrVqxAUFAQgoKCsGLFCjg6OmLSpElNSZ2IiIzM0DWCiIjMS5PvCjVt2rR6TzW6+25MjbF582YAwIABA3Smx8TEYNq0aQCABQsWoKysDLNnz5YekHfgwAE+w4KIyMQYukYQEZF5aVJjMXXq1Psu05SL8oQQ911GpVIhMjISkZGRjV4vERHJz9A1goiIzEuTGouYmBhj5UFERGaONYKIyLLx5vtERERERKQ3NhZERERERKS3Jp0KRURERETUYty4KH9MtQvg/qD8cWXAxoKIiIiILIutQ/Wf8S8rE3/emRbZXLCxICIiIiLL4toGGL8FuFMmb9yCTOC7tUB5kbxxZcLGgoiIiIgsj2sbpTNocXjxNhERERER6Y0jFkRERESmpDBLmVN0iPTExoKIiIjIVBRmAfGvKBffRq1cbDJ7bCyIiIiITEXNSEX3CYCTp7yxbdSAk4e8MalFYWNBZGYuF1kD16uMHsfJDgjQWBs9DhER1cHJE9Dw4mIyL2wsiMyEva0KABB+UgOcLJElZuKzTmwuiIiIqFHYWBCZCR9na0TbbMLtbpMBZ+MOj2cVa7EppQIlFUYNQ0RERC0IGwsiM+KjugW4VAEa3imaiIiITAt/OyEiIiIiIr2xsSAiIiIiIr2xsSAiIiIiIr2xsSAiIiIiIr2xsSAiIiIiIr2xsSAiIiIiIr3xdrMkm8v5WuPHKFLgYW6FWcCdMuPHKcg0fgwiIiKiZmJjQUZn/79/ZeGHZPjlG5rqmP97SrXRFWYB8a/IE6uGjVreeERERESNwMaCjM7H2QrRA+1xu1KGYMW5sD/3d/g4L5EhGP4Yqeg+AXAy7tOwAVQ3FU4exo9DRERE1ERsLEgWPs4yXc6jqgJUt+SJdTcnT0DTRv64RERERCaCjQW1THJdj8DrHoiIiIgAsLGglqbm+oMja5SJS0TUwl0usgauV8ka08kOCNAocHMOImoSNhbUsjh5AI+/DlSWyxeT1z0QkQWouSlG+EkNcLJE9viJzzqxuSAycWwsqOXhL/lELcKRI0fw4YcfIjk5GdnZ2di5cyfGjRsnzRdCYOnSpdi6dSvy8vLQt29fbNq0CV27dlUu6RbMx9ka0TabcLvbZMBZhptV/E9WsRabUipQUiFbSCJqJjYWRERkkkpKStCjRw9Mnz4dTz/9dK35q1evRnR0NGJjY9GxY0csW7YMQ4cORVpaGlxcXBTIuOXzUd0CXKoADZ+vS0S1sbEgIiKTNHLkSIwcObLOeUIIrFu3DosXL0ZYWBgAYPv27fDy8sKOHTswc+ZMOVMlIiIAPORARERmJyMjAzk5ORg2bJg0Ta1WIzQ0FEePHq3358rLy1FYWKjzIiIiw2BjQUREZicnJwcA4OXlpTPdy8tLmleXqKgoaDQa6eXn52fUPImILAkbCyIiMlsqlUrnvRCi1rS7LVq0CAUFBdIrM5PPoiEiMhReY0FERGbH29sbQPXIhY+PjzQ9Nze31ijG3dRqNdRqPneGiMgYOGJBRERmJyAgAN7e3khISJCmVVRUICkpCf369VMwMyIiy8URCyIiMknFxcW4fPmy9D4jIwOpqalo3bo12rVrh/DwcKxYsQJBQUEICgrCihUr4OjoiEmTJimYNRGR5VK0seDDj4iIqD6nT5/GwIEDpfcREREAgKlTpyI2NhYLFixAWVkZZs+eLdWIAwcO8BkWZFjFOcBNGX9dKuB1PxbhxkX5Y6pdAPcHjRpC0caCDz8iIqL6DBgwAEKIeuerVCpERkYiMjJSvqTIctj871qclL8DqfXfaczo8allsXWo/jP+ZWXizztj1OZC0caCDz8iIiIik+TkCaAE6Dax+mnjcrJRA04e8sYkebi2AcZvAe6UyRu3IBP4bi1QXmTUMCZ7jcX9Hn5UX2NRXl6O8vJy6T0ffkRkRuQaGpZhOJiIWghnT0DDe92QAbm2UToDozHZxqKhhx9dvXq13p+LiorC0qVLjZobERmYEkPDRh4OJiIisjQm21jUaM7Dj2ou8AOqRyz4ZFUiEyfn0LBMw8FERESWxmQbCz78iMjCtOChYSIiIktgsicN8uFHRERERETmQ9ERCz78iIiIiIioZVC0seDDj4iIiIiIWgZFGws+/IiIiIiIqGUw2WssiIiIiIjIfLCxICIiIiIivbGxICIiIiIivbGxICIiIiIivbGxICIiIiIivbGxICIiIiIivSl6u1kiIiKixricr23R8SydEvvbyQ4I0FjLHrclY2NBREREJsv+f7+phB8qUzQ+GYfSn2/is05sLgyI/12IiIjIZPk4WyF6oD1uV8of296mOj4Zj1Kfb1axFptSKlBSIW/clo6NBREREZk0/nLfsvHzbTn4SRIRERERkd44YnEfGTdKUFJu/PG5y7nFRo9B1FRyXkzHi+iIiIjMGxuLBmTcKMHANYdljWlvy0EkUp5SF9PxIjqiRirMAu7IfLFrQaa88YjI7LCxaEDNSMWcgYFo4+Zg9Hj2tlbw0Rg/DtH9yH0xHS+iI2qCwiwg/hXl4tuolYtNRCaNjUUjtHFzQICHk9JpEMmKF9MRmaiakYruEwAnT3lj26gBJw95YxKR2WBjQUREZI6cPAFNG6WzICKS8JAkERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpzUbpBOguhVnAnTJ5YhVkyhOHyFTduChPHLUL4P6gPLGIiIgUxMbCVBRmAfGvyB/XRi1/TCIl2TpU/xn/snwx551hc0FERC0eGwtTUTNS0X0C4OQpT0wbNeDkIU8sIlPh2gYYv0We0cGCTOC7tUB5kfFjERERKYyNhalx8gQ0bZTOgqhlc+X/MSIiIkPjxdtERERERKQ3NhZERERERKQ3NhZERERERKQ3NhZERERERKQ3NhZERERERKQ33hWKiIiIiEgmGQVVKKmQOWiBDZy03ggwchg2FkRERpSh9UbJxctArvGriJOzCwICuxg9DhERNU9GQRUGxpUoELk1gGgk5lciwNd4Ucyisfjkk0/w4YcfIjs7G127dsW6devw+OOPK50WEVGDMm47YmBFNLAPAK7LEPE6El+CxTUXrBFEZC5qRirm9LRDG2f5rkjIyr2JTWlOKKnQGjWOyTcW//znPxEeHo5PPvkEjz32GLZs2YKRI0fi/PnzaNeundLpERHVq8TOC0AJ5nQqQRvHKqPGysorxqYrvigptqynfLNGEJE5auNshQA3GS91LjZuDaph8o1FdHQ0XnzxRbz00ksAgHXr1mH//v3YvHkzoqKiFM6OiOj+2ni6y1BAcoArRg5hglgjiIhMh0k3FhUVFUhOTsZbb72lM33YsGE4evRonT9TXl6O8vJy6X1BQQEAoLCwsMnxi4sKoS0vRfqZRJQ6GLnTK7kO3HYHMn4DHMvvvzxRC3K1xBracifEnbyBDi6VSqdjML8W2UBb7ogLGddR6mTc75Ds/BJoy21QXFzc5O+7muULCwvh4uIClUpljBQNzqJqxN1YL4j0plTdkbMu3M0QNUIIcf+FhQnLysoSAMQPP/ygM3358uWiY8eOdf7MkiVLBAC++OKLL76a8SooKJDj690gWCP44osvvuR7ZWZm3vd72aRHLGrce/RMCFHvEbVFixYhIiJCeq/VanHr1i24u7ubzVG4GoWFhfDz80NmZiZcXV2VTsdgWup2Adw2c9RStwto/LYJIVBUVAQXFxe4uLjImKFhsEa0vH+7+uK+aRj3T/24b2qrqRG+vve/nZRJNxYeHh6wtrZGTk6OzvTc3Fx4eXnV+TNqtRpqtVpnmpubm7FSlIWrq2uL/MfdUrcL4LaZo5a6XUDjtk2j0ciUjeGwRlRryf929cV90zDun/px3+hqbI0w6Sdv29nZoXfv3khISNCZnpCQgH79+imUFRERmQLWCCIi02LSIxYAEBERgcmTJ6NPnz4ICQnB1q1bce3aNcyaNUvp1IiISGGsEUREpsPkG4uJEyfi5s2beP/995GdnY3g4GDs2bMH7du3Vzo1o1Or1ViyZEmtYXtz11K3C+C2maOWul1Ay962GqwRLfvzbS7um4Zx/9SP+0Y/KiEac+8oIiIiIiKi+pn0NRZERERERGQe2FgQEREREZHe2FgQEREREZHe2FgQEREREZHe2FgQEREREZHe2FgobPPmzejevbv0hMeQkBDs3btXmj9t2jSoVCqd16OPPqpgxs0TFRUFlUqF8PBwaZoQApGRkfD19YWDgwMGDBiAn3/+Wbkkm6mubTPXzy0yMrJW3t7e3tJ8c/3M7rdd5vp51cjKysILL7wAd3d3ODo64uGHH0ZycrI031w/NwKOHDmCMWPGwNfXFyqVCrt27ap32ZkzZ0KlUmHdunWy5ae0xuyfCxcu4KmnnoJGo4GLiwseffRRXLt2Tf5kZXa/fVNcXIy5c+eibdu2cHBwQJcuXbB582ZlkpVZVFQUHnnkEbi4uMDT0xPjxo1DWlqazjL83mweNhYKa9u2LVauXInTp0/j9OnTGDRoEMaOHavzj3fEiBHIzs6WXnv27FEw46Y7deoUtm7diu7du+tMX716NaKjo7Fx40acOnUK3t7eGDp0KIqKihTKtOnq2zbAfD+3rl276uR97tw5aZ45f2YNbRdgvp9XXl4eHnvsMdja2mLv3r04f/481q5dCzc3N2kZc/7cLF1JSQl69OiBjRs3Nrjcrl27cOLECfj6+sqUmWm43/5JT09H//790blzZxw+fBg//vgj3n33Xdjb28ucqfzut2/+8pe/YN++ffjHP/6BCxcu4C9/+QvmzZuH//u//5M5U/klJSVhzpw5OH78OBISElBZWYlhw4ahpKREWobfm80kyOS0atVK/O1vfxNCCDF16lQxduxYZRPSQ1FRkQgKChIJCQkiNDRUzJ8/XwghhFarFd7e3mLlypXSsrdv3xYajUb89a9/VSjbpqlv24Qw389tyZIlokePHnXOM+fPrKHtEsJ8Py8hhFi4cKHo379/vfPN+XMjXQDEzp07a03/73//K9q0aSN++ukn0b59e/HRRx/JnpspqGv/TJw4UbzwwgvKJGRC6to3Xbt2Fe+//77OtF69eol33nlHxsxMQ25urgAgkpKShBD83tQHRyxMSFVVFeLi4lBSUoKQkBBp+uHDh+Hp6YmOHTvi5ZdfRm5uroJZNs2cOXMwevRoDBkyRGd6RkYGcnJyMGzYMGmaWq1GaGgojh49KneazVLfttUw18/t0qVL8PX1RUBAAJ599ln8+uuvAMz/M6tvu2qY6+e1e/du9OnTB8888ww8PT3Rs2dPbNu2TZpv7p8bNUyr1WLy5Ml488030bVrV6XTMSlarRbffPMNOnbsiOHDh8PT0xN9+/Zt8HQyS9K/f3/s3r0bWVlZEEIgMTERFy9exPDhw5VOTXYFBQUAgNatWwPg96Y+2FiYgHPnzsHZ2RlqtRqzZs3Czp078dBDDwEARo4ciS+++AKHDh3C2rVrcerUKQwaNAjl5eUKZ31/cXFxOHPmDKKiomrNy8nJAQB4eXnpTPfy8pLmmbKGtg0w38+tb9+++Pzzz7F//35s27YNOTk56NevH27evGnWn1lD2wWY7+cFAL/++is2b96MoKAg7N+/H7NmzcJrr72Gzz//HID5/1+jhq1atQo2NjZ47bXXlE7F5OTm5qK4uBgrV67EiBEjcODAAYwfPx5hYWFISkpSOj3FbdiwAQ899BDatm0LOzs7jBgxAp988gn69++vdGqyEkIgIiIC/fv3R3BwMAB+b+rDRukECOjUqRNSU1ORn5+Pr776ClOnTkVSUhIeeughTJw4UVouODgYffr0Qfv27fHNN98gLCxMwawblpmZifnz5+PAgQMNnsuqUql03gshak0zNY3ZNnP93EaOHCn9vVu3bggJCcGDDz6I7du3Sxczm+Nn1tB2RUREmO3nBVQfle3Tpw9WrFgBAOjZsyd+/vlnbN68GVOmTJGWM8fPjRqWnJyM9evX48yZM/ws66DVagEAY8eOxV/+8hcAwMMPP4yjR4/ir3/9K0JDQ5VMT3EbNmzA8ePHsXv3brRv3x5HjhzB7Nmz4ePjU+9IfEs0d+5cnD17Ft9//32tefzebDqOWJgAOzs7BAYGok+fPoiKikKPHj2wfv36Opf18fFB+/btcenSJZmzbJrk5GTk5uaid+/esLGxgY2NDZKSkrBhwwbY2NhIRwHu7fxzc3NrHSEwNffbtqqqqlo/Yy6f272cnJzQrVs3XLp0SbqLkjl+Zve6e7vqYk6fl4+PjzTCWaNLly7SXW9a0udGur777jvk5uaiXbt20nfR1atX8frrr8Pf31/p9BTn4eEBGxubBv9/WKqysjK8/fbbiI6OxpgxY9C9e3fMnTsXEydOxJo1a5ROTzbz5s3D7t27kZiYiLZt20rT+b3ZfGwsTJAQot5TMG7evInMzEz4+PjInFXTDB48GOfOnUNqaqr06tOnD55//nmkpqaiQ4cO8Pb2RkJCgvQzFRUVSEpKQr9+/RTM/P7ut23W1ta1fsZcPrd7lZeX48KFC/Dx8UFAQIDZfmb3unu76mJOn9djjz1W6zaJFy9eRPv27QGgRX1upGvy5Mk4e/aszneRr68v3nzzTezfv1/p9BRnZ2eHRx55pMH/H5bqzp07uHPnDqysdH8NtLa2lkZ6WjIhBObOnYv4+HgcOnQIAQEBOvP5vakH5a4bJyGEWLRokThy5IjIyMgQZ8+eFW+//bawsrISBw4cEEVFReL1118XR48eFRkZGSIxMVGEhISINm3aiMLCQqVTb7J775y0cuVKodFoRHx8vDh37px47rnnhI+Pj9lvmzl/bq+//ro4fPiw+PXXX8Xx48fFk08+KVxcXMSVK1eEEOb7mTW0Xeb8eQkhxMmTJ4WNjY1Yvny5uHTpkvjiiy+Eo6Oj+Mc//iEtY66fG1V/n6SkpIiUlBQBQERHR4uUlBRx9erVOpe3tLtC3W//xMfHC1tbW7F161Zx6dIl8fHHHwtra2vx3XffKZy58d1v34SGhoquXbuKxMRE8euvv4qYmBhhb28vPvnkE4UzN75XX31VaDQacfjwYZGdnS29SktLpWX4vdk8bCwUNmPGDNG+fXthZ2cnHnjgATF48GBx4MABIYQQpaWlYtiwYeKBBx4Qtra2ol27dmLq1Kni2rVrCmfdPPc2FlqtVixZskR4e3sLtVotnnjiCXHu3DnlEtTD3dtmzp/bxIkThY+Pj7C1tRW+vr4iLCxM/Pzzz9J8c/3MGtouc/68avznP/8RwcHBQq1Wi86dO4utW7fqzDfXz42ESExMFABqvaZOnVrn8pbWWDRm/3z66aciMDBQ2Nvbix49eohdu3Ypl7CM7rdvsrOzxbRp04Svr6+wt7cXnTp1EmvXrhVarVbZxGVQ134BIGJiYqRl+L3ZPCohhJBvfISIiIiIiFoiXmNBRERERER6Y2NBRERERER6Y2NBRERERER6Y2NBRERERER6Y2NBRERERER6Y2NBRERERER6Y2NBRERERER6Y2NBZiM2NhZubm5Kp3FfAwYMQHh4uNJpAAAOHz4MlUqF/Px8pVMhIjI6c6kTdZGzdqhUKuzatUuWWGRZ2FgQtRCm1NAQEZHyIiMj8fDDDyudBlkQNhZERERERKQ3NhYkK61Wi1WrViEwMBBqtRrt2rXD8uXL6zxlJzU1FSqVCleuXKlzXTVHYj777DO0a9cOzs7OePXVV1FVVYXVq1fD29sbnp6eWL58uc7PFRQU4JVXXoGnpydcXV0xaNAg/Pjjj7XW+/e//x3+/v7QaDR49tlnUVRU1KxtrqiowIIFC9CmTRs4OTmhb9++OHz4sDS/Zuh+//796NKlC5ydnTFixAhkZ2dLy1RWVuK1116Dm5sb3N3dsXDhQkydOhXjxo0DAEybNg1JSUlYv349VCpVrf2WnJyMPn36wNHREf369UNaWlqjcm/uPlapVNiyZQuefPJJODo6okuXLjh27BguX76MAQMGwMnJCSEhIUhPT2/WPiWilssS6kRJSQmmTJkCZ2dn+Pj4YO3atbWWaWzt2LVrFzp27Ah7e3sMHToUmZmZ0vylS5fixx9/lOpCbGys9PM3btzA+PHj4ejoiKCgIOzevbtRudd8Dvv370fPnj3h4OCAQYMGITc3F3v37kWXLl3g6uqK5557DqWlpdLPDRgwAPPmzUN4eDhatWoFLy8vbN26FSUlJZg+fTpcXFzw4IMPYu/evY3Kg0wTGwuS1aJFi7Bq1Sq8++67OH/+PHbs2AEvL69mry89PR179+7Fvn378OWXX+Kzzz7D6NGj8d///hdJSUlYtWoV3nnnHRw/fhwAIITA6NGjkZOTgz179iA5ORm9evXC4MGDcevWLZ317tq1C19//TW+/vprJCUlYeXKlc3Kcfr06fjhhx8QFxeHs2fP4plnnsGIESNw6dIlaZnS0lKsWbMGf//733HkyBFcu3YNb7zxhjR/1apV+OKLLxATE4MffvgBhYWFOufHrl+/HiEhIXj55ZeRnZ2N7Oxs+Pn5SfMXL16MtWvX4vTp07CxscGMGTManX9T93GNDz74AFOmTEFqaio6d+6MSZMmYebMmVi0aBFOnz4NAJg7d25TdycRtXCWUCfefPNNJCYmYufOnThw4AAOHz6M5ORknWUaWzuWL1+O7du3S7Xh2WefBQBMnDgRr7/+Orp27SrVhYkTJ0o/u3TpUkyYMAFnz57FqFGj8Pzzz+ts3/1ERkZi48aNOHr0KDIzMzFhwgSsW7cOO3bswDfffIOEhAR8/PHHOj+zfft2eHh44OTJk5g3bx5effVVPPPMM+jXrx/OnDmD4cOHY/LkyToNCZkZQSSTwsJCoVarxbZt22rNS0xMFABEXl6eNC0lJUUAEBkZGUIIIWJiYoRGo5HmL1myRDg6OorCwkJp2vDhw4W/v7+oqqqSpnXq1ElERUUJIYT49ttvhaurq7h9+7ZO/AcffFBs2bKl3vW++eabom/fvo3aztDQUDF//nwhhBCXL18WKpVKZGVl6SwzePBgsWjRImm7AIjLly9L8zdt2iS8vLyk915eXuLDDz+U3ldWVop27dqJsWPH1hm3Rs1+PXjwoDTtm2++EQBEWVnZfbelOftYCCEAiHfeeUd6f+zYMQFAfPrpp9K0L7/8Utjb2983ByKyHJZQJ4qKioSdnZ2Ii4uTpt28eVM4ODg0q3YcP35cmn/hwgUBQJw4cULKs0ePHrVyuPc7uri4WKhUKrF379775l9XXYmKihIARHp6ujRt5syZYvjw4dL70NBQ0b9/f+l9ZWWlcHJyEpMnT5amZWdnCwDi2LFj982DTJONAr0MWagLFy6gvLwcgwcPNtg6/f394eLiIr338vKCtbU1rKysdKbl5uYCqD4lqLi4GO7u7jrrKSsr0zkt5971+vj4SOtoijNnzkAIgY4dO+pMLy8v18nB0dERDz74YJ3xCgoK8Pvvv+NPf/qTNN/a2hq9e/eGVqttVB7du3fXWTcA5Obmol27dvf92abu47pi1hxt7Natm86027dvo7CwEK6uro3aDiJq2SyhTqSnp6OiogIhISHStNatW6NTp07S+8bWDhsbG/Tp00d637lzZ7i5ueHChQs6NaMud39HOzk5wcXFpUl17t7veEdHR3To0EFn2smTJ+v9GWtra7i7u9eqCwCaVW/JNLCxINk4ODjUO6/mC14IIU27c+fOfddpa2ur816lUtU5reYXcK1WCx8fH53zVGvcfYvChtbRFFqtFtbW1khOToa1tbXOPGdn5wbj3b0vaqbd7d75Dbl7/TXraez2NHUfNxRTnzyIqOWzhDrRmO/uxtaOmrj3qmvavfStc/d+nze1LtT1c6wL5o/XWJBsgoKC4ODggG+//bbWvAceeAAAdC5YTk1NNXgOvXr1Qk5ODmxsbBAYGKjz8vDwMHi8nj17oqqqCrm5ubXieXt7N2odGo2m1pGfqqoqpKSk6CxnZ2eHqqoqg+ZPRCQnS6gTgYGBsLW11bkuLS8vDxcvXpTeN7Z2VFZWStesAUBaWhry8/PRuXNnAKwLJD+OWJBs7O3tsXDhQixYsAB2dnZ47LHHcP36dfz888+YMmUK/Pz8EBkZiWXLluHSpUt13iVDX0OGDEFISAjGjRuHVatWoVOnTvjtt9+wZ88ejBs3TmdI2RA6duyI559/HlOmTMHatWvRs2dP3LhxA4cOHUK3bt0watSoRq1n3rx5iIqKQmBgIDp37oyPP/4YeXl5Okel/P39ceLECVy5cgXOzs5o3bq1QbeFiMjYLKFOODs748UXX8Sbb74Jd3d3eHl5YfHixTqnZjW2dtja2mLevHnYsGEDbG1tMXfuXDz66KPSaVD+/v7IyMhAamoq2rZtCxcXF6jVar3yJ2oIRyxIVu+++y5ef/11vPfee+jSpQsmTpyI3Nxc2Nra4ssvv8Qvv/yCHj16YNWqVVi2bJnB46tUKuzZswdPPPEEZsyYgY4dO+LZZ5/FlStX9LrrSENiYmIwZcoUvP766+jUqROeeuopnDhxQueuTfezcOFCPPfcc5gyZQpCQkLg7OyM4cOHw97eXlrmjTfegLW1NR566CE88MADuHbtmjE2h4jIqCyhTnz44Yd44okn8NRTT2HIkCHo378/evfurbNMY2qHo6MjFi5ciEmTJiEkJAQODg6Ii4uT5j/99NMYMWIEBg4ciAceeABffvmlQfInqo9KNOVEbSIyCVqtFl26dMGECRPwwQcfKJ0OERHJLDY2FuHh4TrP9SBSGk+FIjIDV69exYEDBxAaGory8nJs3LgRGRkZmDRpktKpEREREQHgqVBETXLt2jU4OzvX+zLW6UdWVlaIjY3FI488gsceewznzp3DwYMH0aVLF73W27Vr13q35YsvvjBQ9kRElkOpOmEos2bNqjf3WbNmKZ0emTieCkXUBJWVlbhy5Uq98/39/WFjYz4DgVevXq33do1eXl4692gnIqL7M/c6kZubi8LCwjrnubq6wtPTU+aMyJywsSAiIiIiIr3xVCgiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItKbjdIJGJtWq8Vvv/0GFxcXqFQqpdMhIjI5QggUFRXBxcUFrq6uFvVdyRpBRNSwmhrh6+sLK6uGxyRafGPx22+/wc/PT+k0iIjMQkFBAVxdXZVOQzasEUREjZOZmYm2bds2uEyLbyxcXFwAVO8MSyqWRESNVVhYCD8/P2RmZkrfmZaCNYKIqGE1NaIx9aHFNxY1Q9uurq4sGkREDbC006AA1ggiosZqTH3gxdtERERERKQ3NhZERERERKQ3NhZERERERKS3Fn+NBREpr6qqCnfu3FE6DYtma2sLa2trpdMgIqqFNUJZhqwPJtNYREVF4e2338b8+fOxbt06ANX3zV26dCm2bt2KvLw89O3bF5s2bULXrl2VTZaIGkUIgZycHOTn5yudCgFwc3ODt7e3xV2gTUSmiTXCdBiqPphEY3Hq1Cls3boV3bt315m+evVqREdHIzY2Fh07dsSyZcswdOhQpKWlWdwtEYnMUU3B8PT0hKOjI3+hVYgQAqWlpcjNzQUA+Pj4KJwRERFrhCkwdH1QvLEoLi7G888/j23btmHZsmXSdCEE1q1bh8WLFyMsLAwAsH37dnh5eWHHjh2YOXOmUikTUSNUVVVJBcPd3V3pdCyeg4MDACA3Nxeenp48LYqIFMUaYToMWR8UbyzmzJmD0aNHY8iQITqNRUZGBnJycjBs2DBpmlqtRmhoKI4ePVpvY1FeXo7y8nLpfWFhofGSJ4PJuFGCkvJK2eM6qW0Q4OEke1xLUHO+rKOjo8KZUI2az+LOnTtsLMh03EwHyovki6d2AdwflC8e1Yk1wrQYqj4o2ljExcXhzJkzOHXqVK15OTk5AAAvLy+d6V5eXrh69Wq964yKisLSpUsNmygZVcaNEgxcc1ix+IlvDGBzYUQc2jYd/CzI5NxMBz7uJX/ceWfYXJgIfi+ZBkN9Doo1FpmZmZg/fz4OHDgAe3v7epe7d0OFEA1u/KJFixARESG9r3kMOZmumpGKOQMD0cbNQba4Wfll2JR4WZGREiJqGt7go4WqGal4/HVAI0OtLsgEvlsr7wgJkQVRrLFITk5Gbm4uevfuLU2rqqrCkSNHsHHjRqSlpQGoHrm4+0KS3NzcWqMYd1Or1VCr1cZLnIymjZsDRw4sRX4mUHpTvniO7oCbMgcYrly5goCAAKSkpODhhx9WJAdzxxt8WACNH+AeqHQWZAosqD4ALa9GKNZYDB48GOfOndOZNn36dHTu3BkLFy5Ehw4d4O3tjYSEBPTs2RMAUFFRgaSkJKxatUqJlInIEPIzgU2PAHfK5Itp6wDMOdXo4jFt2jRs374dM2fOxF//+ledebNnz8bmzZsxdepUxMbGGiFZuhtv8EFkQcygPgCsEQ1RrLFwcXFBcHCwzjQnJye4u7tL08PDw7FixQoEBQUhKCgIK1asgKOjIyZNmqREykRkCKU3q4uG3Kc+lN5sUuHw8/NDXFwcPvroI+mOGbdv38aXX36Jdu3aGStbugdv8KEM2W6ocb0CTlpvBBg/EpkDM6kPAGtEfRS/K1RDFixYgLKyMsyePVs6f/bAgQMc4iZqCUz81IdevXrh119/RXx8PJ5//nkAQHx8PPz8/NChQwdpuX379mHZsmX46aefYG1tjZCQEKxfvx4PPlj/haHnz5/HG2+8gSNHjsDJyQnDhg3DRx99BA8PD6NvlznhDT6UIf8NNaKRWHQTAbzjKNUw8foAsEbUx6Qai8OHD+u8V6lUiIyMRGRkpCL5EJFlmz59OmJiYqSi8dlnn2HGjBk631UlJSWIiIhAt27dUFJSgvfeew/jx49HamoqrKysaq0zOzsboaGhePnllxEdHY2ysjIsXLgQEyZMwKFDh+TaNJPHG3woR84bamRlZmDT6WKUVPLOQGR+WCNqM6nGgojIlEyePBmLFi3ClStXoFKp8MMPPyAuLk6naDz99NM6P/Ppp5/C09MT58+fr3W6JwBs3rwZvXr1wooVK6Rpn332Gfz8/HDx4kV07NjRaNtjTniDD+XJckONfP4aQuaLNaI2/o8mIqqHh4cHRo8eje3bt0MIgdGjR9caik5PT8e7776L48eP48aNG9BqtQCAa9eu1Vk0kpOTkZiYCGdn51rz0tPTTb5oyIU3+CAiU8caURsbCyKiBsyYMQNz584FAGzatKnW/DFjxsDPzw/btm2Dr68vtFotgoODUVFRUef6tFotxowZU+cvv3cfebd0vMEHEZkD1ghdbCxIh2x3ArnL5dxiWeMRNcWIESOkAjB8+HCdeTdv3sSFCxewZcsWPP744wCA77//vsH19erVC1999RX8/f1hY8OvYH3wBh9EpDTWCF3mlzEZjfx3AtFlb1v7IiZqwQoyzSKOtbU1Lly4IP39bq1atYK7uzu2bt0KHx8fXLt2DW+99VaD65szZw62bduG5557Dm+++SY8PDxw+fJlxMXFYdu2bbVi0B94gw8iC2Em9QFgjbgXGwuSyHknkHvZ21rBRyNvTFKIo3v1A4m+WytfTFuH6rjN5OrqWud0KysrxMXF4bXXXkNwcDA6deqEDRs2YMCAAfWuy9fXFz/88AMWLlyI4cOHo7y8HO3bt8eIESPqvEMIEZHFMMP6ALBG3I2NBdUiy51AyHK5+VU/5bT0pnwxHd2b9PCj+z0tddeuXdLfhwwZgvPnz+vMF0JIf/f399d5DwBBQUGIj49vdD5ERBbBDOoDwBrREDYWRCQ/N78mf5ETEZEFYH0wa6Y/pkJERERERCaPIxZkGgqzgDtl8sbMl/fuV0REREQtGRsLUl5hFhD/ivxxhTeAl4GC/wJtNPLHJyIiImpB2FiQ8mpGKrpPAJw85Yt7vQC4AKCiRL6YRERERC0UGwsyHU6egKaNfPGKTPte0ERERETmhBdvExERERGR3thYEBERERGR3thYEBERERGR3niNBRHJLiu/DHklFbLFa+VkhzZuDrLFMwZ/f3+Eh4cjPDxc6VSIiIyG9aF5TKVGsLEgIlll5Zdh8NrDuH1HK1tMe1srfPv6gEYXj2nTpmH79u21pl+6dAmBgYGGTo+IiGAe9QFgjWgIGwsiklVeSQVu39FizsBAWY4SZeWXYVPiZeSVVDQp3ogRIxATE6Mz7YEHHjB0ekRE9D/mUh8A1oj68BoLIlJEGzcHBHg4Gf3V3OKkVqvh7e2t87K2tsZ//vMf9O7dG/b29ujQoQOWLl2Kyso/nuKuUqmwZcsWPPnkk3B0dESXLl1w7NgxXL58GQMGDICTkxNCQkKQnp4u/Ux6ejrGjh0LLy8vODs745FHHsHBgwcbzK+goACvvPIKPD094erqikGDBuHHH39s1rYSEZkSU68PAGtEfdhYEBE10v79+/HCCy/gtddew/nz57FlyxbExsZi+fLlOst98MEHmDJlClJTU9G5c2dMmjQJM2fOxKJFi3D69GkAwNy5c6Xli4uLMWrUKBw8eBApKSkYPnw4xowZg2vXrtWZhxACo0ePRk5ODvbs2YPk5GT06tULgwcPxq1bt4y3A4iIqF6sETwVioioTl9//TWcnZ2l9yNHjsTvv/+Ot956C1OnTgUAdOjQAR988AEWLFiAJUuWSMtOnz4dEyZMAAAsXLgQISEhePfddzF8+HAAwPz58zF9+nRp+R49eqBHjx7S+2XLlmHnzp3YvXu3TnGpkZiYiHPnziE3NxdqtRoAsGbNGuzatQv//ve/8corrxhwTxAR0b1YI+rGxoKIqA4DBw7E5s2bpfdOTk4IDAzEqVOndI4+VVVV4fbt2ygtLYWjoyMAoHv37tJ8Ly8vAEC3bt10pt2+fRuFhYVwdXVFSUkJli5diq+//hq//fYbKisrUVZWVu/RqOTkZBQXF8Pd3V1nellZmc7wORERGQdrRN3YWBAR1aGmSNxNq9Vi6dKlCAsLq7W8vb299HdbW1vp7yqVqt5pWm31nU/efPNN7N+/H2vWrEFgYCAcHBzw5z//GRUVdd9yUavVwsfHB4cPH641z83NrXEbSEREzcYaUTc2FkREjdSrVy+kpaUZ/HaC3333HaZNm4bx48cDqD6f9sqVKw3mkZOTAxsbG/j7+xs0FyIiah7WCDYWRKSQrPwys4vz3nvv4cknn4Sfnx+eeeYZWFlZ4ezZszh37hyWLVvW7PUGBgYiPj4eY8aMgUqlwrvvvisdqarLkCFDEBISgnHjxmHVqlXo1KkTfvvtN+zZswfjxo1Dnz59mp0Lma6MGyUoKa+8/4J6upxbbPQYRA0xx/oAsEYAbCyISGatnOxgb2uFTYmXZYtpb2uFVk52eq9n+PDh+Prrr/H+++9j9erVsLW1RefOnfHSSy/ptd6PPvoIM2bMQL9+/eDh4YGFCxeisLCw3uVVKhX27NmDxYsXY8aMGbh+/Tq8vb3xxBNPSOfrUsuScaMEA9ccljWmvS1vHEnyMuf6ALBGAIBKCCGMGkFhhYWF0Gg0KCgogKurq9LpmLSfsgrw5MffY8X4bgjwcJIv8M3LwH/mAyFzAU0b2cJm/DcHb6e44utnH0Dww3+SLa6luH37NjIyMhAQEKBzbilQfZQor6Tuc0ONoZWTnSwPWzJ19X0mlvw9aS7bXvP9LNeDw+xtreCjMX6cjMu/4O3EfHw9+BaCA/2NHg83LwNfhwOvJAG+Dxs/HtWrvu8j1gdlNFSzm/I9yRELIpJdGzcHfpETNUPNg8OIWirWB/PGcU4iIiIiItIbGwsiIiIiItIbT4Uiyr8G/GaYC7caTe0CuD8ob0wiIiIiI2JjQZbL5n8Pozn0AXD4ivzx552xiOaihd8fwqzwsyAiU8PvJdNgqM+BjQVZLvtWAG4Dj78BtDL+veElBZnAd2uB8iL5Yiqg5imipaWlcHDghXimoLS0FIDuE16JiJTAGmFaDFUf2FgQafwAd2uls2hxrK2t4ebmhtzcXACAo6MjVCqVwllZJiEESktLkZubCzc3N1hb8987ESmLNcI0GLo+sLEgIqPx9vYGAKlwkLLc3Nykz4SISGmsEabDUPWBjQWRBcm4UYKSchlP+wIAOMLR3Qm+rjJfIE86bG1tOVJBRCZFpVLBx8cHnp6euHPnjtLpWCxD1gc2FkQWIuNGCQauOaxY/MQ3BvDBXkREVIu1tTUPfLQQbCyILETNSMWcgYGyPtU0K78MmxIvKzBSQkRERHJiY0FkYdq4OXDkgIiIiAyOT94mIiIiIiK9sbEgIiIiIiK9sbEgIiIiIiK9sbEgIiIiIiK9sbEgIiIiIiK9KdpYbN68Gd27d4erqytcXV0REhKCvXv3SvOFEIiMjISvry8cHBwwYMAA/PzzzwpmTEREREREdVG0sWjbti1WrlyJ06dP4/Tp0xg0aBDGjh0rNQ+rV69GdHQ0Nm7ciFOnTsHb2xtDhw5FUVGRkmkTEREREdE9FG0sxowZg1GjRqFjx47o2LEjli9fDmdnZxw/fhxCCKxbtw6LFy9GWFgYgoODsX37dpSWlmLHjh1Kpk1ERERERPcwmWssqqqqEBcXh5KSEoSEhCAjIwM5OTkYNmyYtIxarUZoaCiOHj1a73rKy8tRWFio8yIiIiIiIuNSvLE4d+4cnJ2doVarMWvWLOzcuRMPPfQQcnJyAABeXl46y3t5eUnz6hIVFQWNRiO9/Pz8jJo/EREZHq/BIyIyP4o3Fp06dUJqaiqOHz+OV199FVOnTsX58+el+SqVSmd5IUStaXdbtGgRCgoKpFdmZqbRciciIuPgNXhEROZH8cbCzs4OgYGB6NOnD6KiotCjRw+sX78e3t7eAFBrdCI3N7fWKMbd1Gq1dISr5kVEROaF1+AREZkfxRuLewkhUF5ejoCAAHh7eyMhIUGaV1FRgaSkJPTr10/BDImISE6GugYP4HV4RETGZKNk8LfffhsjR46En58fioqKEBcXh8OHD2Pfvn1QqVQIDw/HihUrEBQUhKCgIKxYsQKOjo6YNGmSkmkTEZEMzp07h5CQENy+fRvOzs7SNXg1zUNd1+BdvXq1wXVGRUVh6dKlRsuZiMiSKdpY/P7775g8eTKys7Oh0WjQvXt37Nu3D0OHDgUALFiwAGVlZZg9ezby8vLQt29fHDhwAC4uLkqmTUREMqi5Bi8/Px9fffUVpk6diqSkJGl+U6/BA6qvw4uIiJDeFxYW8iYfREQGomhj8emnnzY4X6VSITIyEpGRkfIkREREJqPmGjwA6NOnD06dOoX169dj4cKFAKqvwfPx8ZGWv981eED1KVNqtdp4SRMRWTCTu8aCiIioLrwGj4jItCk6YkFERFQXXoNHRGR+2FgQEZHJ4TV4RETmh40FERGZHF6DR0RkfniNBRERERER6Y2NBRERERER6Y2NBRERERER6Y3XWBAREZFluXFRnjhqF8D9QXliEZkANhZERERkGWwdqv+Mf1m+mPPOsLkgi8HGgoiIiCyDaxtg/BbgTpnxYxVkAt+tBcqLjB+LyESwsSAiIiLL4dpG6QyIWixevE1ERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHpjY0FERERERHrjA/KIqOW6ma7MU2/VLoD7g/LHJSIiUlCzGouMjAwEBAQYOhciIsO5mQ583Eu5+PPOWGxzwRpBRGSZmtVYBAYG4oknnsCLL76IP//5z7C3tzd0XkRE+qkZqXj8dUDjJ1/cgkzgu7XKjJSYCNYIIiLL1KzG4scff8Rnn32G119/HXPnzsXEiRPx4osv4k9/+pOh8yMi0o/GD3APVDoLi8IaQURkmZp18XZwcDCio6ORlZWFmJgY5OTkoH///ujatSuio6Nx/fp1Q+dJRERmgjWCiMgy6XVXKBsbG4wfPx7/+te/sGrVKqSnp+ONN95A27ZtMWXKFGRnZxsqTyIiMjOsEURElkWvxuL06dOYPXs2fHx8EB0djTfeeAPp6ek4dOgQsrKyMHbsWEPlSUREZoY1gojIsjTrGovo6GjExMQgLS0No0aNwueff45Ro0bByqq6TwkICMCWLVvQuXNngyZLRESmjzWCiMgyNaux2Lx5M2bMmIHp06fD29u7zmXatWuHTz/9VK/kiIjI/LBGEBFZpmY1FgkJCWjXrp109KmGEAKZmZlo164d7OzsMHXqVIMkSURE5oM1gkh+GTdKUFJeKVs8J7UNAjycZItH5qFZjcWDDz6I7OxseHp66ky/desWAgICUFVVZZDkiIjI/LBGEMkr40YJBq45LHvcxDcGsLkgHc1qLIQQdU4vLi7mg5CIiCwcawSRvGpGKuYMDEQbNwejx8vKL8OmxMuyjpCQeWhSYxEREQEAUKlUeO+99+Do6CjNq6qqwokTJ/Dwww8bNEEiIjIPrBFEymrj5sARBFJUkxqLlJQUANVHo86dOwc7Oztpnp2dHXr06IE33njDsBkSEZFZYI0gIrJsTWosEhMTAQDTp0/H+vXr4erqapSkiIjI/LBGEBFZtmZdYxETE2PoPIiIqIVgjSAiskyNbizCwsIQGxsLV1dXhIWFNbhsfHy83okREZH5YI0gIqJGNxYajQYqlUr6OxERUQ3WCCIianRjcffQNoe5iYjobqwRRERkdf9FaisrK0Npaan0/urVq1i3bh0OHDhgsMSIiMg8sUYQEVmmZl28PXbsWISFhWHWrFnIz8/Hn/70J9jZ2eHGjRuIjo7Gq6++aug8iYjITLBGUFNdLrIGrsvzRHYnOyBAYy1LLDKQm+lAeZE8sdQugPuD8sRqgZrVWJw5cwYfffQRAODf//43vL29kZKSgq+++grvvfceiwYRkQVjjaDGsretvi4n/KQGOFkiW9zEZ53YXJiLm+nAx73kjTnvDJuLZmpWY1FaWgoXFxcAwIEDBxAWFgYrKys8+uijuHr1qkETJCIi88IaQY3l42yNaJtNuN1tMuDsafR4WcVabEqpQEmF0UORodSMVDz+OqDxM26sgkzgu7XyjY60QM1qLAIDA7Fr1y6MHz8e+/fvx1/+8hcAQG5uLh+IRER1upxbLG/A6xVw0nojQN6oBNYIahof1S3ApQrQNOuyT7IUGj/APVDpLOg+mtVYvPfee5g0aRL+8pe/YPDgwQgJCQFQfWSqZ8+eBk2QiMybvW31Lwvh/0xVIHo0EotuIsBdgdAWjDWCiMgyNaux+POf/4z+/fsjOzsbPXr0kKYPHjwY48ePb/R6oqKiEB8fj19++QUODg7o168fVq1ahU6dOknLCCGwdOlSbN26FXl5eejbty82bdqErl27Nid1IpKZj8YB0RN64PYdraxxszIzsOl0MUoqVbLGJcPVCCIiMi/NaiwAwNvbG97e3jrT/vSnPzVpHUlJSZgzZw4eeeQRVFZWYvHixRg2bBjOnz8PJycnAMDq1asRHR2N2NhYdOzYEcuWLcPQoUORlpYmncNLRKbNR+Mgf9D8Zn+9kQEYokYQEZF5aVblLSkpwcqVK/Htt98iNzcXWq3ukchff/21UevZt2+fzvuYmBh4enoiOTkZTzzxBIQQWLduHRYvXoywsDAAwPbt2+Hl5YUdO3Zg5syZzUmfiIiMyFA1goiIzEuzGouXXnoJSUlJmDx5Mnx8fKBSGeZUg4KCAgBA69atAQAZGRnIycnBsGHDpGXUajVCQ0Nx9OjROhuL8vJylJeXS+8LCwsNkhsRETWOIWoET5UlIjI/zWos9u7di2+++QaPPfaYwRIRQiAiIgL9+/dHcHAwACAnJwcA4OXlpbOsl5dXvbcsjIqKwtKlSw2WFxERNY0hagRPlSUiMj/NaixatWoljSoYyty5c3H27Fl8//33tebde7RLCFHvEbBFixYhIiJCel9YWAg/PyPf95iIiCSGqBE8VZaIyPw066bRH3zwAd577z2UlpYaJIl58+Zh9+7dSExMRNu2baXpNRf+1Yxc1MjNza01ilFDrVbD1dVV50VERPIxdI0Amn6qbH3Ky8tRWFio8yIiIsNo1ojF2rVrkZ6eDi8vL/j7+8PW1lZn/pkzZxq1HiEE5s2bh507d+Lw4cMICNB9lFVAQAC8vb2RkJAg3fu8oqICSUlJWLVqVXNSJyIiIzNUjahhqFNlAZ4uS0RkTM1qLMaNG2eQ4HPmzMGOHTvwf//3f3BxcZEKhUajgYODA1QqFcLDw7FixQoEBQUhKCgIK1asgKOjIyZNmmSQHIiIyLAMVSNqGOpUWYCnyxIRGVOzGoslS5YYJPjmzZsBAAMGDNCZHhMTg2nTpgEAFixYgLKyMsyePVu668eBAwd4YR4RkYkyVI0A/jhV9siRI/WeKuvj4yNNb+hUWaD6dCm1Wm2w/IiI6A/NusYCAPLz8/G3v/0NixYtwq1btwBUD29nZWU1eh1CiDpfNU0FUH00KjIyEtnZ2bh9+zaSkpKkoXAiIjJN+tYIIQTmzp2L+Ph4HDp0qMFTZWvUnCrbr18/w20IERE1WrNGLM6ePYshQ4ZAo9HgypUrePnll9G6dWvs3LkTV69exeeff27oPImIyEwYokbwVFlqCTK03ijJrQBEgVHjXM4tNur6iRqrWY1FREQEpk2bhtWrV+uckjRy5Eh+oRMRWThD1AieKkvmLqPIGgMrooG46wCuyxLT3rbZJ6IQGUSzGotTp05hy5Yttaa3adOm1q1hiYjIshiiRggh7rtMzamykZGRTU2RyOhKKqtvIjCnjzPa+AXcZ2n92dtawUfjYPQ4RA1pVmNhb29f572/09LS8MADD+idFBERmS/WCKI/tHGxQYCHk9JpEMmiWWNmY8eOxfvvv487d+4AqD5qdO3aNbz11lt4+umnDZogERGZF9YIIiLL1KzGYs2aNbh+/To8PT1RVlaG0NBQBAYGwsXFBcuXLzd0jkREZEZYI4iILFOzToVydXXF999/j8TERCQnJ0Or1aJXr14YMmSIofMjIiIzwxpBRGSZmtxYaLVaxMbGIj4+HleuXIFKpZLuJ36/J54SEVHLxhpBRGS5mnQqlBACTz31FF566SVkZWWhW7du6Nq1K65evYpp06Zh/PjxxsqTiIhMHGsEEZFla9KIRWxsLI4cOYJvv/0WAwcO1Jl36NAhjBs3Dp9//jmmTJli0CSJyMwVZgF3yuSNWZwDwF7emBaONYKIyLI1qbH48ssv8fbbb9cqGAAwaNAgvPXWW/jiiy9YNIjoD4VZQPwr8scV3gBeBmzU8se2UKwRRESWrUmNxdmzZ7F69ep6548cORIbNmzQOykiakFqRiq6TwCcPOWLW2QNpEDemBaONYLIwlxPA1R2xo1x46Jx108G1aTG4tatW/Dy8qp3vpeXF/Ly8vROiohaICdPQNNGvnhCC+C2fPGINYLIUhTnVv8Z/zJgdUWemLZ8qrg5aFJjUVVVBRub+n/E2toalZWVeidFRETmhzWCyEJUllf/2fMFwM/D+PFsHQBXGQ9MUbM1qbEQQmDatGlQq+s+Z7m8vNwgSRERkflhjSCyMM7egLu/0lmQCWlSYzF16tT7LsOL8oiILBNrBBGRZWtSYxETE2OsPIiIyMyxRhARWbYmP3mbiIiIiKjFkvNOVGoXwP1B+eIZGRsLIiIiIqKaO0/Fvyxv3HlnWkxzwcaCiIiIiMi1DTB+yx/PXzK2gkzgu7VAeZE88WTAxoKIyBiUeKhTCxtSJyKSHW9rqxc2FkREhqTUUHqNFjSkTkRE5oWNBRGRIck9lF6jBQ6pk4IKs+T5N1yQafwYSivOAW7K8OsWHyJHJoCNBRGRobG4kzkrzALiX5E3pk3dD1U0azXblPJ3IDVHnphhW/n9Q4piY0FERER/qBmp6D4BcPI0fjwbNeDkYfw4cnPyBFACdJsIuFQZN1ZJLnD2X/KPlBLdg40FERER1ebkCWh49Ftvzp6AxkrpLIhkwX/pRERERESkNzYWRERERESkNzYWRERERESkNzYWRERERESkNzYWRERERESkN94VykRl3ChBSXmlrDEv5xZX/yU/E1DJ+E/DEh6QRERERNTCsbEwQRk3SjBwzWHF4tt/txxQ3ZI/cEt8QBIRERGRhWBjYYJqRirmDAxEGzcH+QLnZ8L+u+Xw6TFEnoci3a2lPiCJiIiIyEKwsTBhbdwcEODhJF9AlU31SAUfikRERERETcSLt4mIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG98jgVZvMv5WnkDFtjASeuNgBsX5Y17vULeeERERGRR2FiQxbL/37/+8ENlMkduDSAaif+OQIBVjnxhtf4AVgDFuYBHgHxxiYiIyCKwsSCL5eNsheiB9rhdKW/crGItNqVUoOTxd4BWMgbPvAGcAFBZLl9MIiIishiKNhZHjhzBhx9+iOTkZGRnZ2Pnzp0YN26cNF8IgaVLl2Lr1q3Iy8tD3759sWnTJnTt2lW5pKlF8XFW8DIjjR/gbi1fvDweRyAiIiLjUfTi7ZKSEvTo0QMbN26sc/7q1asRHR2NjRs34tSpU/D29sbQoUNRVFQkc6ZERCS3I0eOYMyYMfD19YVKpcKuXbt05gshEBkZCV9fXzg4OGDAgAH4+eeflUmWiIiUbSxGjhyJZcuWISwsrNY8IQTWrVuHxYsXIywsDMHBwdi+fTtKS0uxY8cOBbIlIiI58eATEZF5MdlzIzIyMpCTk4Nhw4ZJ09RqNUJDQ3H06FHMnDmzzp8rLy9Hefkf55AXFhYaPVcis1KcA9yU8b9+QaZ8sahFGTlyJEaOHFnnvHsPPgHA9u3b4eXlhR07dtRbI4iIyHhMtrHIyam+W46Xl5fOdC8vL1y9erXen4uKisLSpUuNmhuRWbJRV/+Z8ncgVca7Ud0bn8gATOXgU8aNEpSUG/8mDJdzi40eg4hIXybbWNRQqVQ674UQtabdbdGiRYiIiJDeFxYWws/Pz2j5EZkNJ08AJUC3iYBLlbyxbdSAk4e8MalFM4WDTxk3SjBwzWGDrKux7G35XFsiMl0m21h4e3sDqC4ePj4+0vTc3NxaheRuarUaajWPjBLVy9kT0PCXE2oZlDz4VDNSMWdgINq4OTRrHU1hb2sFH43x4xARNZfJNhYBAQHw9vZGQkICevbsCQCoqKhAUlISVq1apXB2RESkJFM6+NTGzQEBHk4GXScRkTlS9LBlcXExUlNTkZqaCqD6nNnU1FRcu3YNKpUK4eHhWLFiBXbu3ImffvoJ06ZNg6OjIyZNmqRk2kREpLC7Dz7VqDn41K9fPwUzIyKyXIqOWJw+fRoDBw6U3tcMT0+dOhWxsbFYsGABysrKMHv2bOkBeQcOHICLi4tSKRMRkUyKi4tx+fJl6X3NwafWrVujXbt20sGnoKAgBAUFYcWKFTz4RESkIEUbiwEDBkAIUe98lUqFyMhIREZGypcUERGZBB58IiIyLyZ7jQUREVk2HnwiIjIvvDUMERERERHpjY0FERERERHpjY0FERERERHpjddYEBEREVGTXS6yBq5XGT2Okx0QoLE2ehzSHxsLIiIiImo0e9vqp9uHn9QAJ0tkiZn4rBObCzPAxoKIiIiIGs3H2RrRNptwu9tkwNnTqLGyirXYlFKBkgqjhiEDYWNBRERERE3io7oFuFQBGl6uS3/gvwYiIiIiItIbRyxMWX4moJLxIyrIlC8WEREREbUobCxMUcF/q//87kNAlSN/fBu1/DGJiIhkcjlf2yJi1CLXAUIeiKR6sLEwRRX/u8NC0FDgAY28sW3UgJOHvDGJiIhkYP+/33rCD5XJHtOoag4IHlkjQ7A64hL9DxsLU2bfGtB4K50FERFRi+DjbIXogfa4XSlPPHub6phG5+QBPP46UFlu/Fg1eCCS6sDGgoiIiCyGLL/oK4G/5JMJaKH/u4iIiIiISE5sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG9sLIiIiIiISG82SidAZKku52tbdDwiIiKyLGwsiGRm/7//deGHyhSNT0RERCbgxkV54qhdAPcHjRqCv2IQyczH2QrRA+1xu1L+2PY21fGJiIhIYbYO1X/GvyxfzHlnjNpcsLEgUgB/uSciIrJwrm2A8VuAOzKcwVCQCXy3FigvMmoYNhZEREREREpwbaN0BgbFw6ZERERERKQ3jljcR8aNEpSUy3sy/OVbCpx8T9RCKXE3LCc7IEBjLXtcauEKs+Q7ZYKIqBnYWDQg40YJBq45rFh8exuhWGwic6f03bcSn3Vic0GGU5gFxL8ib0wbtbzxiMjssbFoQM1IxZyBgWjj5iBf4PxM2H+3HD4Ok+SLSdTCKHX3raxiLTalVKCkQt641MLVjFR0nwA4eRo/no0acPIwfhwialHYWDRCGzcHBHg4yRdQZQOobskXj6iF4t23qMVx8gQ0LetiTyJqOVh1iYiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2wsiIiIiIhIb2bRWHzyyScICAiAvb09evfuje+++07plIiIyESwRhARmQaTbyz++c9/Ijw8HIsXL0ZKSgoef/xxjBw5EteuXVM6NSIiUhhrBBGR6TD5xiI6OhovvvgiXnrpJXTp0gXr1q2Dn58fNm/erHRqRESkMNYIIiLTYaN0Ag2pqKhAcnIy3nrrLZ3pw4YNw9GjR+v8mfLycpSXl0vvCwoKAACFhYVNjl9cVAhteSnSzySi1KGqyT/fbCXXgdvuQMZvgGP5/ZcnIpNxtcQa2nInxJ28gQ4ulfIFLstD29JOeLSoGGji913N92NhYSFcXFygUqmMkaHBWVSNYF0gC6XYd2pLY4AaIYS477Im3VjcuHEDVVVV8PLy0pnu5eWFnJycOn8mKioKS5curTXdz8+v2Xm81+yf1NcexSITkX6WKxX4w8eb/aN+fn4oKCiAq6urARMyHsusEawLZJkU+05tafSoEUVFRdBoNA0uY9KNRY17j54JIeo9orZo0SJERERI77VaLW7dugV3d3fpZwoLC+Hn54fMzEyzKaD14baYJm6L6Wkp2wEYfluEECgqKoKLiwtcXFwMkKG8DF0jTElL+nerNO5Lw+G+NCxT3581NcLX1/e+y5p0Y+Hh4QFra+taR55yc3NrHaGqoVaroVardaa5ubnVuayrq6tJfoDNwW0xTdwW09NStgMw7Lbc7yiUKTJ2jTAlLenfrdK4Lw2H+9KwTHl/NrZGmPTF23Z2dujduzcSEhJ0pickJKBfv34KZUVERKaANYKIyLSY9IgFAERERGDy5Mno06cPQkJCsHXrVly7dg2zZs1SOjUiIlIYawQRkekw+cZi4sSJuHnzJt5//31kZ2cjODgYe/bsQfv27Zu9TrVajSVLltQaDjdH3BbTxG0xPS1lO4CWtS36MkaNMCX8rA2H+9JwuC8NqyXtT5VozL2jiIiIiIiIGmDS11gQEREREZF5YGNBRERERER6Y2NBRERERER6Y2NBRERERER6azGNxZEjRzBmzBj4+vpCpVJh165dOvNVKlWdrw8//FBapry8HPPmzYOHhwecnJzw1FNP4b///a/MW3L/bSkuLsbcuXPRtm1bODg4oEuXLti8ebPOMuayLb///jumTZsGX19fODo6YsSIEbh06ZLOMqawLVFRUXjkkUfg4uICT09PjBs3DmlpaTrLCCEQGRkJX19fODg4YMCAAfj55591ljGXbYmPj8fw4cPh4eEBlUqF1NTUWusxh225c+cOFi5ciG7dusHJyQm+vr6YMmUKfvvtN7PbFgCIjIxE586d4eTkhFatWmHIkCE4ceKEzjKmsC30h82bN6N79+7Sg69CQkKwd+9eab6hvjfy8vIwefJkaDQaaDQaTJ48Gfn5+XJsomKioqKgUqkQHh4uTeP+bLzIyMhavxN5e3tL87kvmyYrKwsvvPAC3N3d4ejoiIcffhjJycnSfIvZn6KF2LNnj1i8eLH46quvBACxc+dOnfnZ2dk6r88++0yoVCqRnp4uLTNr1izRpk0bkZCQIM6cOSMGDhwoevToISorK01qW1566SXx4IMPisTERJGRkSG2bNkirK2txa5du8xqW7RarXj00UfF448/Lk6ePCl++eUX8corr4h27dqJ4uJik9qW4cOHi5iYGPHTTz+J1NRUMXr06Fp5rly5Uri4uIivvvpKnDt3TkycOFH4+PiIwsJCs9uWzz//XCxdulRs27ZNABApKSm11mMO25Kfny+GDBki/vnPf4pffvlFHDt2TPTt21f07t3b7LZFCCG++OILkZCQINLT08VPP/0kXnzxReHq6ipyc3NNalvoD7t37xbffPONSEtLE2lpaeLtt98Wtra24qeffhJCGO57Y8SIESI4OFgcPXpUHD16VAQHB4snn3xS9u2Vy8mTJ4W/v7/o3r27mD9/vjSd+7PxlixZIrp27arzu9Hd3yXcl41369Yt0b59ezFt2jRx4sQJkZGRIQ4ePCguX74sLWMp+7PFNBZ3q+uX8XuNHTtWDBo0SHqfn58vbG1tRVxcnDQtKytLWFlZiX379hkr1fuqa1u6du0q3n//fZ1pvXr1Eu+8844Qwny2JS0tTQCQCqwQQlRWVorWrVuLbdu2CSFMd1tyc3MFAJGUlCSEqG6SvL29xcqVK6Vlbt++LTQajfjrX/8qhDCfbblbRkZGnY2FOW5LjZMnTwoA4urVq0II896WgoICAUAcPHhQCGG620K6WrVqJf72t78Z7Hvj/PnzAoA4fvy4tMyxY8cEAPHLL7/ItFXyKSoqEkFBQSIhIUGEhoZKjQX3Z9MsWbJE9OjRo8553JdNs3DhQtG/f/9651vS/mwxp0I1xe+//45vvvkGL774ojQtOTkZd+7cwbBhw6Rpvr6+CA4OxtGjR5VIs179+/fH7t27kZWVBSEEEhMTcfHiRQwfPhyA+WxLeXk5AMDe3l6aZm1tDTs7O3z//fcATHdbCgoKAACtW7cGAGRkZCAnJ0cnT7VajdDQUClPc9mWxjDnbSkoKIBKpYKbmxsA892WiooKbN26FRqNBj169ABguttC1aqqqhAXF4eSkhKEhIQY7Hvj2LFj0Gg06Nu3r7TMo48+Co1G0yI/9zlz5mD06NEYMmSIznTuz6a7dOkSfH19ERAQgGeffRa//vorAO7Lptq9ezf69OmDZ555Bp6enujZsye2bdsmzbek/WmRjcX27dvh4uKCsLAwaVpOTg7s7OzQqlUrnWW9vLyQk5Mjd4oN2rBhAx566CG0bdsWdnZ2GDFiBD755BP0798fgPlsS+fOndG+fXssWrQIeXl5qKiowMqVK5GTk4Ps7GwAprktQghERESgf//+CA4OBgApFy8vL51l787TXLalMcx1W27fvo233noLkyZNgqurKwDz25avv/4azs7OsLe3x0cffYSEhAR4eHgAMM1tIeDcuXNwdnaGWq3GrFmzsHPnTjz00EMG+97IycmBp6dnrbienp4t7nOPi4vDmTNnEBUVVWse92fT9O3bF59//jn279+Pbdu2IScnB/369cPNmze5L5vo119/xebNmxEUFIT9+/dj1qxZeO211/D5558DsKx/mzZKJ6CEzz77DM8//7zOkfL6CCGgUqlkyKrxNmzYgOPHj2P37t1o3749jhw5gtmzZ8PHx6fWEZy7mdq22Nra4quvvsKLL76I1q1bw9raGkOGDMHIkSPv+7NKbsvcuXNx9uxZaVTlbvfm1Jg8TXVbmsOUt+XOnTt49tlnodVq8cknn9x3faa6LQMHDkRqaipu3LiBbdu2YcKECThx4kSdxaaGqf3ftzSdOnVCamoq8vPz8dVXX2Hq1KlISkqS5hvie6Ou5Vva556ZmYn58+fjwIEDDdZv7s/GubvWduvWDSEhIXjwwQexfft2PProowC4LxtLq9WiT58+WLFiBQCgZ8+e+Pnnn7F582ZMmTJFWs4S9qfFjVh89913SEtLw0svvaQz3dvbGxUVFcjLy9OZnpubW6vDVFJZWRnefvttREdHY8yYMejevTvmzp2LiRMnYs2aNQDMZ1sAoHfv3lLBzc7Oxr59+3Dz5k0EBAQAML1tmTdvHnbv3o3ExES0bdtWml5zJ417jxjcnae5bEtjmNu23LlzBxMmTEBGRgYSEhKk0QrA/LbFyckJgYGBePTRR/Hpp5/CxsYGn376KQDT2xaqZmdnh8DAQPTp0wdRUVHo0aMH1q9fb7DvDW9vb/z++++14l6/fr1Ffe7JycnIzc1F7969YWNjAxsbGyQlJWHDhg2wsbGRtpX7s3mcnJzQrVs3XLp0if82m8jHxwcPPfSQzrQuXbrg2rVrAAz3O4I57E+Layw+/fRT9O7dWzonuUbv3r1ha2uLhIQEaVp2djZ++ukn9OvXT+4063Xnzh3cuXMHVla6H521tTW0Wi0A89mWu2k0GjzwwAO4dOkSTp8+jbFjxwIwnW0RQmDu3LmIj4/HoUOHpManRkBAALy9vXXyrKioQFJSkpSnuWxLY5jTttQ0FZcuXcLBgwfh7u6uM9+ctqW+n6u5XslUtoUaVvOZGep7IyQkBAUFBTh58qS0zIkTJ1BQUNCiPvfBgwfj3LlzSE1NlV59+vTB888/j9TUVHTo0IH7Uw/l5eW4cOECfHx8+G+ziR577LFatwe/ePEi2rdvD8BwvyOYxf6U4QJxWRQVFYmUlBSRkpIiAIjo6GiRkpIi3flFiOo7qDg6OorNmzfXuY5Zs2aJtm3bioMHD4ozZ86IQYMGKXKbxvttS2hoqOjatatITEwUv/76q4iJiRH29vbik08+Mbtt+de//iUSExNFenq62LVrl2jfvr0ICwvTWYcpbMurr74qNBqNOHz4sM6t+UpLS6VlVq5cKTQajYiPjxfnzp0Tzz33XJ23kjOHbbl586ZISUkR33zzjQAg4uLiREpKisjOzjarbblz54546qmnRNu2bUVqaqrOMuXl5Wa1LcXFxWLRokXi2LFj4sqVKyI5OVm8+OKLQq1W69xZzRS2hf6waNEiceTIEZGRkSHOnj0r3n77bWFlZSUOHDgghDDc98aIESNE9+7dxbFjx8SxY8dEt27dTOoWlMZy912hhOD+bIrXX39dHD58WPz666/i+PHj4sknnxQuLi7iypUrQgjuy6Y4efKksLGxEcuXLxeXLl0SX3zxhXB0dBT/+Mc/pGUsZX+2mMYiMTFRAKj1mjp1qrTMli1bhIODg8jPz69zHWVlZWLu3LmidevWwsHBQTz55JPi2rVrMm3BH+63LdnZ2WLatGnC19dX2Nvbi06dOom1a9cKrVZrdtuyfv160bZtW2FrayvatWsn3nnnHZ1f+ExlW+raBgAiJiZGWkar1YolS5YIb29voVarxRNPPCHOnTtnltsSExNT5zJLliwxq22puV1uXa/ExESz2paysjIxfvx44evrK+zs7ISPj4946qmnxMmTJ3XWYwrbQn+YMWOGaN++vbCzsxMPPPCAGDx4sNRUCGG4742bN2+K559/Xri4uAgXFxfx/PPPi7y8PDk2UVH3Nhbcn41X8xwFW1tb4evrK8LCwsTPP/8szee+bJr//Oc/Ijg4WKjVatG5c2exdetWnfmWsj9VQghhyBEQIiIiIiKyPBZ3jQURERERERkeGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwsiIiIiItIbGwtSjBACr7zyClq3bg2VSgU3NzeEh4dL8/39/bFu3TrF8msKlUqFXbt2KZ0GACAyMhIPP/yw0mkQESluwIABOnXFEGJjY+Hm5mbQdRK1FGwsSDH79u1DbGwsvv76a2RnZyM4OFhn/qlTp/DKK68olJ15MKWGhoiIiCybjdIJkOVKT0+Hj48P+vXrBwCwsdH95/jAAw8okVYtFRUVsLOzUzoNIiIiIpPGEQtSxLRp0zBv3jxcu3YNKpUK/v7+tZa591QolUqFzZs3Y+TIkXBwcEBAQAD+3//7f9L8K1euQKVSIS4uDv369YO9vT26du2Kw4cP66z3/PnzGDVqFJydneHl5YXJkyfjxo0b0vwBAwZg7ty5iIiIgIeHB4YOHdrk7cvKysLEiRPRqlUruLu7Y+zYsbhy5YrO9o8bNw5r1qyBj48P3N3dMWfOHNy5c0daJjs7G6NHj5a2dceOHTr7pGafjR8/vs59+Pe//x3+/v7QaDR49tlnUVRU1KjcBwwYgHnz5iE8PBytWrWCl5cXtm7dipKSEkyfPh0uLi548MEHsXfvXulnDh8+DJVKhf3796Nnz55wcHDAoEGDkJubi71796JLly5wdXXFc889h9LS0ibvTyKi5qqsrMTcuXPh5uYGd3d3vPPOOxBCAADy8vIwZcoUtGrVCo6Ojhg5ciQuXbqk8/OxsbFo164dHB0dMX78eNy8eVOad+XKFVhZWeH06dM6P/Pxxx+jffv2Upz6NPe7c9++fejfv7+0TU8++STS09Ol+RUVFZg7dy58fHxgb28Pf39/REVFSfMjIyPRrl07qNVq+Pr64rXXXmvUvrxfXSJiY0GKWL9+Pd5//320bdsW2dnZOHXqVKN+7t1338XTTz+NH3/8ES+88AKee+45XLhwQWeZN998E6+//jpSUlLQr18/PPXUU1IhyM7ORmhoKB5++GGcPn0a+/btw++//44JEyborGP79u2wsbHBDz/8gC1btjRp20pLSzFw4EA4OzvjyJEj+P777+Hs7IwRI0agoqJCWi4xMRHp6elITEzE9u3bERsbi9jYWGn+lClT8Ntvv+Hw4cP46quvsHXrVuTm5krza/ZZTExMrX2Ynp6OXbt24euvv8bXX3+NpKQkrFy5stHbsH37dnh4eODkyZOYN28eXn31VTzzzDPo168fzpw5g+HDh2Py5Mm1moTIyEhs3LgRR48eRWZmJiZMmIB169Zhx44d+Oabb5CQkICPP/64SfuTiEgfNd/nJ06cwIYNG/DRRx/hb3/7G4DqgzynT5/G7t27cezYMQghMGrUKOkgz4kTJzBjxgzMnj0bqampGDhwIJYtWyat29/fH0OGDEFMTIxOzJiYGEybNg0qlapROTb1u7OkpAQRERE4deoUvv32W1hZWWH8+PHQarUAgA0bNmD37t3417/+hbS0NPzjH/+QDj79+9//xkcffYQtW7bg0qVL2LVrF7p169aoPO9Xl4ggiBTy0Ucfifbt20vvQ0NDxfz586X37du3Fx999JH0HoCYNWuWzjr69u0rXn31VSGEEBkZGQKAWLlypTT/zp07om3btmLVqlVCCCHeffddMWzYMJ11ZGZmCgAiLS1NyuPhhx9u0rYAEDt37hRCCPHpp5+KTp06Ca1WK80vLy8XDg4OYv/+/UIIIaZOnSrat28vKisrpWWeeeYZMXHiRCGEEBcuXBAAxKlTp6T5ly5dEgBq7ZOauDWWLFkiHB0dRWFhoTTtzTffFH379m3UtoSGhor+/ftL7ysrK4WTk5OYPHmyNC07O1sAEMeOHRNCCJGYmCgAiIMHD0rLREVFCQAiPT1dmjZz5kwxfPjwRuVBRKSv0NBQ0aVLF53v44ULF4ouXbqIixcvCgDihx9+kObduHFDODg4iH/9619CCCGee+45MWLECJ11Tpw4UWg0Gun9P//5T9GqVStx+/ZtIYQQqampQqVSiYyMjPvmZ6jvztzcXAFAnDt3TgghxLx588SgQYN0trvG2rVrRceOHUVFRcV987tbY+sSWTaOWJBZCQkJqfX+3hGLu5exsbFBnz59pGWSk5ORmJgIZ2dn6dW5c2cA0BlG7tOnT7NzTE5OxuXLl+Hi4iLFaN26NW7fvq0To2vXrrC2tpbe+/j4SEd+0tLSYGNjg169eknzAwMD0apVq0bl4O/vDxcXlzrX3Rjdu3eX/m5tbQ13d3edI1peXl4AUGudd/+cl5cXHB0d0aFDB51pPLpFRHJ69NFHdUYOQkJCcOnSJZw/fx42Njbo27evNM/d3R2dOnWSasaFCxfqrDt3GzduHGxsbLBz504AwGeffYaBAwfWeYpvfZr63Zmeno5JkyahQ4cOcHV1RUBAAADg2rVrAKpHYlJTU9GpUye89tprOHDggPSzzzzzDMrKytChQwe8/PLL2LlzJyorK++bo751iSwDL94ms9eYoeaaZbRaLcaMGYNVq1bVWsbHx0f6u5OTU7Pz0Wq16N27N7744ota8+6+IN3W1rZWjjXD2KKe83Lrm36vhtbd3J+/e9rd+7O+n7v3Z5qTBxGR3IQQ0ndcY75z7ezsMHnyZMTExCAsLAw7duxo8jUHTf3uHDNmDPz8/LBt2zb4+vpCq9UiODhYOt22V69eyMjIwN69e3Hw4EFMmDABQ4YMwb///W/4+fkhLS0NCQkJOHjwIGbPno0PP/wQSUlJteLeTd+6RJaBIxZkVo4fP17rfc2IQ13LVFZWIjk5WVqmV69e+Pnnn+Hv74/AwECdlz7NxN169eqFS5cuwdPTs1YMjUbTqHV07twZlZWVSElJkaZdvnwZ+fn5OsvZ2tqiqqrKIHkTEbVEddWNoKAgPPTQQ6isrMSJEyekeTdv3sTFixfRpUsXAMBDDz1U58/f66WXXsLBgwfxySef4M6dOwgLCzPClvyR44ULF/DOO+9g8ODB6NKlC/Ly8mot5+rqiokTJ2Lbtm345z//ia+++gq3bt0CADg4OOCpp57Chg0bcPjwYRw7dgznzp1rMG5j6xJZNjYWZFb+3//7f/jss89w8eJFLFmyBCdPnsTcuXN1ltm0aRN27tyJX375BXPmzEFeXh5mzJgBAJgzZw5u3bqF5557DidPnsSvv/6KAwcOYMaMGQb7Bf3555+Hh4cHxo4di++++w4ZGRlISkrC/Pnz8d///rdR6+jcuTOGDBmCV155BSdPnkRKSgpeeeUVODg46IzQ+Pv749tvv0VOTk6dhYWIyNJlZmYiIiICaWlp+PLLL/Hxxx9j/vz5CAoKwtixY/Hyyy/j+++/l24K0qZNG4wdOxYA8Nprr2Hfvn1YvXo1Ll68iI0bN2Lfvn21YnTp0gWPPvooFi5ciOeeew4ODg5G256auw1u3boVly9fxqFDhxAREaGzzEf/v727eYW9D+M4/jEdhcaY8pgaRtkwY4w8RDQWFjYWxh9gQWoKycZCNpIynXQWs0SemvqVhaRm4SmZLGWjyEKTSCyZmvKQe3On474xajwczvtVs7q+zfeaxe93dc1cv+/8+iXDMHRwcKDDw0MtLCwoLy9PVqtVMzMzmpqa0t7eno6OjjQ/P6/U1FQVFha+uO9r6xL+bjQW+FKGh4dlGIZcLpdmZ2cVDAZVWlr6aM3Y2Jj8fr/Ky8sVDoe1tLSkrKwsSVJ+fr62t7d1d3en5uZmOZ1O9fX1KSMjQybT21wOaWlp2traUkFBgdra2lRSUqKOjg7FYjFZLJZXv8/c3Jxyc3Pl8Xjk9XrV1dWl9PR0paSkPKwZHx/X6uqqbDabKioq3iR/APhO2tvbFYvFVFNTo+7ubvX29j78+er09LQqKyvV0tKiuro63d/fKxQKPYwE1dbWanJyUoFAQG63WysrKxoaGnpyn87OTl1fXz98kfVeTCaTDMPQzs6OnE6n+vv79fPnz0drzGaz/H6/qqqqVF1drUgkolAoJJPJJKvVqomJCdXX18vlcml9fV3Ly8vKzMyMu/dr6hL+bkn3DMfhi0hKStLi4qJaW1ufjEciERUVFWl3d1dut/tDc/sIJycnstlsWltbU1NT02enAwD4zejoqAzDiDtS9J1Ql/BfPLwN/KE2NjYUjUZVVlams7MzDQwMyG63y+PxfHZqAIB/RaNR7e/vKxAIaGRk5LPTeVfUJcTDKBQQRzAYfHQ87e8vh8Pxbvve3NxocHBQDodDXq9X2dnZ2tzcfPHUjniOj4+f/Sxms/nhqEIAwOv09PSooaFBjY2N/xuD8vl8z95vfT7fJ2X8tHA4/GJ9kN6nLuF7YRQKiOPq6krn5+dPxpKTk+M+8PYnub29VSQSeTZut9v14wc/ZALAW7i4uNDl5eWTMYvFopycnA/O6HmxWEynp6fPxouLiz8wG3xVNBYAAAAAEsYoFAAAAICE0VgAAAAASBiNBQAAAICE0VgAAAAASBiNBQAAAICE0VgAAAAASBiNBQAAAICE0VgAAAAASNg/SHm6PmloZ6YAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# visualizing the data\n", "\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "numeric_columns = ['culmen_length_mm', 'culmen_depth_mm', 'flipper_length_mm', 'body_mass_g']\n", "\n", "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(8, 6))\n", "\n", "# Plot distribution plots for each numeric column, colored by 'sex'\n", "for i, column in enumerate(numeric_columns):\n", " row = i // 2\n", " col = i % 2\n", " sns.histplot(df, x=column, hue='sex', element=\"step\", ax=axes[row, col])\n", " axes[row, col].set_xlabel(column)\n", " axes[row, col].set_ylabel('Density')\n", " axes[row, col].legend(labels=['Male', 'Female'], fontsize=10)\n", " legend = axes[row, col].legend(labels=['Male', 'Female'], fontsize=10)\n", "\n", "# Adjust layout\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "616b7a22a509e4ae8a83269fae98f786", "grade": false, "grade_id": "cell-a15f04d80b80c983", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "**Question**: in a few features from the histogram above, there seems to be a bimodal distribution for each category (Male/Female). Which of the following reasons can explain this?\n", "\n", "**1.** there are multiple species in the dataset (some species may be bigger than others) \n", "\n", "**2.** the data was collected in different islands (and therefore, there may be different species in each island)\n", "\n", "**3.** both of the above can be reasons for this\n", "\n", "**4.** the bimodal tendency is purely coincidental\n", "\n", "\n", "Assign the number of your choice to the variable `A`. It should be an integer value." ] }, { "cell_type": "code", "execution_count": 375, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "e086a06d73b5389193799b38378e2fcf", "grade": false, "grade_id": "Histogram-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 1: select the correct choice. (1 point in total)\n", "\n", "A = 3" ] }, { "cell_type": "code", "execution_count": 376, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "6675d98774d0e64e28cc741bee1a601b", "grade": true, "grade_id": "Histogram-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "assert type(A) == int # Please make sure your input is an int.\n", "\n", "# Hidden test below\n", "# 1 point for correct answer\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "8ee2dbc9292adbbef2390b9936b2f0a4", "grade": false, "grade_id": "cell-ebcde626c67fdc9b", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Separate features from the target\n", "Now, for our machine learning task, let's extract feature matrix `X` and label matrix `Y` from the dataframe `df`. Please implement the `split_X_Y` function that returns feature `X` as a $333 \\times 4$ numpy array, as well as label `Y` as a $333 \\times 1$ numpy array. `X` should contain values from columns 'culmen_length_mm','culmen_depth_mm','flipper_length_mm' and 'body_mass_g' (**Please make sure to follow this order for grading purpose, or use the above-defined variable `numeric_columns`**). `Y` should be the value of column \"class\". You may use methods such as `.reshape()` to reshape an array, and attributes like `.values` to access values in columns of the data frame." ] }, { "cell_type": "code", "execution_count": 377, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "f93f9fea65ede2b0454d2edac675315d", "grade": false, "grade_id": "Train_Test_Split-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 2: Implement split_X_Y. (2 points in total)\n", "\n", "def split_X_Y(df):\n", " \"\"\"\n", " split the dataframe into feature matrix X and label matrix Y\n", " \n", " Args:\n", " df (pandas.DataFrame): shape (333, 6)\n", " \n", " Returns:\n", " X (numpy.ndarray): array containing values of 4 features of the dataframe. Shape (333, 4) \n", " Y (numpy.ndarray): array containing target value in the column \"class\". Shape (333, 1)\n", " \"\"\"\n", " X = None # please update this in your solution\n", " Y = None # please update this in your solution\n", " \n", " X = df[numeric_columns].values\n", " Y = df[\"class\"].values.reshape((333,1))\n", " \n", " return X, Y" ] }, { "cell_type": "code", "execution_count": 378, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "b444109dbdb6aad5e88aa7d3a26e25da", "grade": true, "grade_id": "Train_Test_Split-test_1", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# feature/target split\n", "X, Y = split_X_Y(df)\n", "\n", "# 1 point for correct shape of X and Y\n", "assert X.shape == (333, 4)\n", "assert Y.shape == (333, 1)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 379, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "74e77f9e6795e04284be55da98c3d67b", "grade": true, "grade_id": "Train_Test_Split-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden test below\n", "# 2 points: values in X and Y are checked\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "7d02b5b63fd7bc759dac1cfb11ee1d6c", "grade": false, "grade_id": "cell-af56efe9d9027cdf", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "We have learned that the linear model tries to fit the function:\n", "\\begin{align}\n", "y = \\omega^T x + \\omega_0 = \\sum^n_{i=1} \\omega_i x_i + \\omega_0\n", "\\end{align}\n", "Where $\\omega$ is the weight matrix and $\\omega_0$ is the bias term. Let $x_0 = 1$, this function can be rewritten into:\n", "\\begin{align}\n", "y = \\sum^n_{i=1} \\omega_i x_i + \\omega_0 x_0 = \\sum^n_{i=0} \\omega_i x_i = X \\Omega^T\n", "\\end{align}\n", "$\\Omega$ can be initialized randomly, and optimized later through training. In our case $\\Omega$ has five elements - the first one for the bias and rest four for the weights of the four features.\n", "\n", "**Please note that $\\Omega$ is written as a row vector in many text books for display convenience and is actually a column vector during implementation. That's why we have $\\Omega^T$ in the equation to denote the convertion. Here we use `numpy.T` to make our code and equation consistent.**" ] }, { "cell_type": "code", "execution_count": 380, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "7d06186b74d4b27daa9e6defa279d973", "grade": false, "grade_id": "cell-faa32eb08af53092", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "text/plain": [ "array([[1.76405235],\n", " [0.40015721],\n", " [0.97873798],\n", " [2.2408932 ],\n", " [1.86755799]])" ] }, "execution_count": 380, "metadata": {}, "output_type": "execute_result" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# random initialization for weights and bias\n", "np.random.seed(0)\n", "omega = np.random.randn(1,5)\n", "omegaT = omega.T\n", "omegaT\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "c7006aaa47326fb9b8bd6dd5716f4c29", "grade": false, "grade_id": "cell-2aac0b9bb5d8eb89", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Generate training/validation/test sets\n", "\n", "Firstly, let's do a train-valid split for our dataset, as we have already seen in Assignment 2. Just to refresh your memory, training set is used for training to improve our model performance, while validation set tests the model with unseen data (recall from the lecture that they should be drawn from the same distribution). Testing our model with validation set is crucial especially when we want to know the generalization ability of the model.\n", "\n", "The `x_train` and `y_train` will be our training set, and `x_val`, `y_val` will be our validation set. This time, we are adding a third set, that we call the test set, consisting of `x_test` and `y_test`. Adding this last test set is optional, as it can be counted towards the validation set. However, it is of common practice to add a test set (separate from the validation set that we visualize during training) as a final test of our model. You will see more details later in the Overfitting & Ridge regression section." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "7be5062c5b091c259f989b7c130ab944", "grade": false, "grade_id": "cell-08de0d05761681ae", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Here we randomly shuffle the dataset and take $200$ (about $60\\%$) data points as training set. We use $100$ points for validation (about $30\\%$), and the rest $33$ ( about $10\\%$) are used as a final test set. There's also a useful method `sklearn.model_selection.train_test_split()` from scikit-learn for the same purpose (for splitting into a train and validation set, the latter of which can be further divided to have a validation and a final test set). You can find its documentation [here](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html)." ] }, { "cell_type": "code", "execution_count": 381, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "5b80873a3de26f1279d8cd99cbf42a64", "grade": false, "grade_id": "cell-14f920f0a54c13e7", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# train-val-test splitting\n", "\n", "idx = list(range(0, 333))\n", "\n", "train_size = 200\n", "val_size = 100\n", "test_size = 333 - (train_size+val_size)\n", "random.shuffle(idx)\n", "\n", "x_train = X[idx[:train_size]]\n", "y_train = Y[idx[:train_size]]\n", "x_val = X[idx[train_size:train_size+val_size]]\n", "y_val = Y[idx[train_size:train_size+val_size]]\n", "x_test = X[idx[train_size+val_size:]]\n", "y_test = Y[idx[train_size+val_size:]]\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "3344a5ab9169404dd7e832fab0780427", "grade": false, "grade_id": "cell-da819fa7db5faa61", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Before we move on to the training, let us have a look at the dataset one more time ..." ] }, { "cell_type": "code", "execution_count": 382, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "bdbc7a2fbbfa63a433b2dd961ede3386", "grade": false, "grade_id": "cell-cfe57a8446905698", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
culmen_length_mmculmen_depth_mmflipper_length_mmbody_mass_gclass
count333.000000333.000000333.000000333.000000333.000000
mean43.99279317.164865200.9669674207.0570570.504505
std5.4686681.96923514.015765805.2158020.500732
min32.10000013.100000172.0000002700.0000000.000000
25%39.50000015.600000190.0000003550.0000000.000000
50%44.50000017.300000197.0000004050.0000001.000000
75%48.60000018.700000213.0000004775.0000001.000000
max59.60000021.500000231.0000006300.0000001.000000
\n", "
" ], "text/plain": [ " culmen_length_mm culmen_depth_mm flipper_length_mm body_mass_g \\\n", "count 333.000000 333.000000 333.000000 333.000000 \n", "mean 43.992793 17.164865 200.966967 4207.057057 \n", "std 5.468668 1.969235 14.015765 805.215802 \n", "min 32.100000 13.100000 172.000000 2700.000000 \n", "25% 39.500000 15.600000 190.000000 3550.000000 \n", "50% 44.500000 17.300000 197.000000 4050.000000 \n", "75% 48.600000 18.700000 213.000000 4775.000000 \n", "max 59.600000 21.500000 231.000000 6300.000000 \n", "\n", " class \n", "count 333.000000 \n", "mean 0.504505 \n", "std 0.500732 \n", "min 0.000000 \n", "25% 0.000000 \n", "50% 1.000000 \n", "75% 1.000000 \n", "max 1.000000 " ] }, "execution_count": 382, "metadata": {}, "output_type": "execute_result" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# get statistics of all columns in the dataset\n", "\n", "df.describe()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "653b9241fcb0363e5174882a012a0859", "grade": false, "grade_id": "cell-32f7e122d4b2ab02", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "We notice that the order of magnitude of the values in some columns can be very different with respect to those in another column. For example, `culmen_depth_mm` is between $13.1$ and $21.5$ millimeters, while the `body_mass_g` goes from $2700$ to $6300$ grams.\n", "\n", "The difference in orders of magnitude between feature values can lead to problems when training a machine learning model, and the solution for this is to use some type of scaling before training. This would leave us with values between $0$ and $1$ for all features, leading to more stable training (we can then easily switch back to the unscaled data). For example, Min-Max scaling which is achieved using the following formula :\n", "$ X_{\\text{scaled}} = \\frac{X - X_{\\text{min}}}{X_{\\text{max}} - X_{\\text{min}}}$, with $X$ the array to scale and $X_{\\text{min}}$ and $X_{\\text{max}}$ the arrays of minimum and maximum values respectively across each column. This type of scaling is also implementable using scikit-learn : https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html. \n", "\n", "Read more about the importance of scaling here : https://scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html. Feel free to also explore scikit-learn documentation for other types of scaling." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "33b69bdcd80facecebca0145584b9d8d", "grade": false, "grade_id": "cell-b3a6e093eba7a578", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Now, your task is to scale the data using a Min-Max Scaler, based on the formula above. You can easily access the minimum and maximum values across each column using `x.min(axis=0)` or `x.max(axis=0)` for an array `x`." ] }, { "cell_type": "code", "execution_count": 383, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "e543c2411940a0327df47d18b8225af5", "grade": false, "grade_id": "Scaling-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 3: Scale the data using a min-max scaling. (2 points in total)\n", "\n", "scaled_x_train = None\n", "scaled_x_val = None\n", "scaled_x_test = None\n", "\n", "def scale(arr):\n", " return (arr - np.min(arr, axis=0))/(np.max(arr, axis=0) - np.min(arr, axis=0))\n", "\n", "scaled_x_train = scale(x_train)\n", "scaled_x_val = scale(x_val)\n", "scaled_x_test = scale(x_test)" ] }, { "cell_type": "code", "execution_count": 384, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "d02ebb4c1ebc525c8fccd3ac3d36d680", "grade": true, "grade_id": "Scaling-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point : check if the resulting arrays have the same shape\n", "assert scaled_x_train.shape == x_train.shape\n", "assert scaled_x_val.shape == x_val.shape\n", "assert scaled_x_test.shape == x_test.shape\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 385, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "6bffe421acec3ab9e46a7ec20f82c0f1", "grade": true, "grade_id": "Scaling-test2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point: Check if data has been scaled (values should be between 0 and 1)\n", "assert (scaled_x_train >= 0).all() and (scaled_x_train <= 1).all()\n", "assert (scaled_x_val >= 0).all() and (scaled_x_val <= 1).all()\n", "assert (scaled_x_test >= 0).all() and (scaled_x_test <= 1).all()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 386, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "607346eeb0223a6fe09003982bb476a0", "grade": false, "grade_id": "cell-ada6e50d61541d8a", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# renaming variables for simplicity\n", "\n", "x_train = scaled_x_train\n", "x_val = scaled_x_val\n", "x_test = scaled_x_test\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "25d5dfd860ab9d0f16281138e0036d40", "grade": false, "grade_id": "cell-3b6704681c9de592", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Gradient Descent\n", "For more complex tasks, a closed form solution often doesn't exist and hence we will introduce another approach here, aka Gradient Descent (GD) algorithm, to solve the linear regression. Gradient Descent works by updating the weight vector incrementally after each epoch. Read more [here](https://developers.google.com/machine-learning/crash-course/reducing-loss/gradient-descent)." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "b2a4f117762ddd3917ffd29c004cdc95", "grade": false, "grade_id": "cell-75bfd7154053f864", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Now let's contract $x_0 = 1$ to our feature matrices `x_train` to obtain the input matrix for LR model. Please do that by stacking a new column to `x_train` as the first colunm with all values equal to $1$. This may be easily implemented with the numpy method `.hstack()` . You may find more details [here](https://numpy.org/doc/stable/reference/generated/numpy.hstack.html).\n", "\n", "Also do the same for `x_val` and `x_test`.\n", "\n", "You can also use the variables `train_size`, `val_size` and `test_size` defined earlier for the dimensions of your array." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "ce376689dff772ce6037f0b200f48210", "grade": false, "grade_id": "cell-3063ec8d8014755b", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "In case you are interested, there's a \"closed-form solution\" that estimates the best parameter set $\\Omega^*$ by solving the equation:\n", "\\begin{align}\n", "\\Omega^* = (X^TX)^{-1}X^Ty\n", "\\end{align}\n", "Watch this [video](https://www.coursera.org/lecture/ml-regression/approach-1-closed-form-solution-G9oBu) from coursera for detailed explanation." ] }, { "cell_type": "code", "execution_count": 387, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "e8d62e364a8612877710275f4bd139d5", "grade": false, "grade_id": "Add_bias_term_to_X-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 4: stack to x_train, x_val and x_test a new column with value 1. (2 points in total)\n", "\n", "# Update feature matrix x_train with x0 = 1\n", "x_train = np.hstack((np.ones((train_size,1)), scaled_x_train))\n", "\n", "# Update feature matrix x_val with x0 = 1\n", "x_val = np.hstack((np.ones((val_size,1)), scaled_x_val))\n", "\n", "# Update feature matrix x_test with x0 = 1\n", "x_test = np.hstack((np.ones((test_size,1)), scaled_x_test))\n" ] }, { "cell_type": "code", "execution_count": 388, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "83042f4b9dc32dfbc69b0750d25e8340", "grade": true, "grade_id": "Add_bias_term_to_X-test_1", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point for correct shape of x_train after stacking\n", "\n", "# now the shape of x_train should change from (train_size, 4) to (train_size, 5)\n", "assert x_train.shape == (train_size, 5) \n", "\n", "# now the shape of x_val should change from (val_size, 4) to (val_size, 5)\n", "assert x_val.shape == (val_size, 5) \n", "\n", "# now the shape of x_test should change from (test_size, 4) to (test_size, 5)\n", "assert x_test.shape == (test_size, 5) \n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 389, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "eb4a68922c792cf7d340b85c808077cb", "grade": true, "grade_id": "Add_bias_term_to_X-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point: values in X are checked\n", "assert (x_train[:, 0] == 1).all()\n", "assert (x_val[:, 0] == 1).all()\n", "assert (x_test[:, 0] == 1).all()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "9bc929fdd450b6e159d816771093413c", "grade": false, "grade_id": "cell-a0ed23a25e5d3cd1", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "### Cost function\n", "The mean squared error (mse) is a common loss function that measures the average squared difference between predict and real values. Here, it is defined as:\n", "\\begin{align}\n", "MSE = \\frac{1}{2n}\\sum^n_{i=1}(\\text{y_pred}_i - \\text{y_real}_i)^2\n", "\\end{align}\n", "The $\\frac{1}{2}$ in equation is just for convenience when computing the gradient (see next step). Recall that $y = X \\Omega^T$, so we have:\n", "\\begin{align}\n", "MSE = \\frac{1}{2n}\\sum^n_{i=1}(x_i \\Omega^T - \\text{y_real}_i)^2\n", "\\end{align}\n", "Please implement the `mean_square_error()` that returns MSE. Methods/attribute you may need are `numpy.sum()` and `numpy.dot()`." ] }, { "cell_type": "code", "execution_count": 390, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "98873637b017208d4201209619ef5f71", "grade": false, "grade_id": "MSE-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 5: implement MSE function. (2 points in total)\n", "\n", "def mean_square_error(x, y, omegaT):\n", " \"\"\"\n", " return the mean squared error.\n", " \n", " Args:\n", " x (numpy.ndarray): numpy array of features (n data points, m features). Shape (n, m)\n", " y (numpy.ndarray): numpy array of corresponding targets. Shape (n, 1)\n", " omegaT (numpy.ndarray): weight vector (transposed). Shape (m, 1)\n", " \n", " Returns:\n", " mse (numpy.float64 or float): mean squared error.\n", " \"\"\"\n", " mse = None # please update this in your solution\n", " \n", " mse = 0.5*np.sum((np.dot(omegaT.T, x.T) - y.T)**2)/y.shape[0]\n", " \n", " return mse" ] }, { "cell_type": "code", "execution_count": 391, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "2484a2406e271b051433fbbc93f0292e", "grade": true, "grade_id": "MSE-test_1", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point: a simple test to check if your mse function works\n", "a = np.array([[1.0, 2.0], [2.0, 2.0]])\n", "b = np.array([[1.0], [2.0]])\n", "w = np.array([[1.0, 1.0]]).T\n", "result = mean_square_error(a, b, w)\n", "assert result - 2.0 <= 0.01\n", "assert type(result) == np.float64 or type(result) == float\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 392, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "49de407807de736a7cbe2c3d04ee985a", "grade": true, "grade_id": "MSE-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden test below\n", "# 1 point: further tests to check the output of the mse function\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "6b14178b88f6ed7dcd531ef5c213aff6", "grade": false, "grade_id": "cell-0c61b6eda0caba8e", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "After each epoch $t$, the Gradient Descent algorithm updates the weight vector in the direction of the negative gradient in order to reduce the cost function. The gradient is simply the partial derivative of mean squared error to the weight.\n", "\n", "You can deduce the derivative yourself for practice. Just run the following cell to render the answer:" ] }, { "cell_type": "code", "execution_count": 393, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "\\begin{align}\\frac{\\partial MSE}{\\partial \\Omega^T} &= \\frac{1}{n} \\sum^n_{i=0}(x_i \\Omega^T - \\text{y_real}_i) x_i^T \\\\\\Omega^T(t+1) &= \\Omega^T(t) - \\alpha \\frac{\\partial MSE}{\\partial \\Omega^T(t)}= \\Omega^T(t) - \\frac{\\alpha}{n} \\sum^n_{i=0}(x_i \\Omega^T - \\text{y_real}_i) x_i^T\\end{align}" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, Markdown\n", "\n", "display(Markdown(\"\\\\begin{align}\"\n", " \"\\\\frac{\\\\partial MSE}{\\\\partial \\\\Omega^T} &= \"\n", " \"\\\\frac{1}{n} \\\\sum^n_{i=0}(x_i \\\\Omega^T - \\\\text{y_real}_i) x_i^T \\\\\\\\\"\n", " \"\\\\Omega^T(t+1) &= \\\\Omega^T(t) - \\\\alpha \\\\frac{\\\\partial MSE}{\\\\partial \\\\Omega^T(t)}\"\n", " \"= \\\\Omega^T(t) - \\\\frac{\\\\alpha}{n} \\\\sum^n_{i=0}(x_i \\\\Omega^T - \\\\text{y_real}_i) x_i^T\"\n", " \"\\\\end{align}\"))" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "2a47eb5d06296ce22aff6e1e7b74e134", "grade": false, "grade_id": "cell-3b243d3fd3dba44a", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "The $\\alpha$ is the learning rate that controls the step size for the update after each iteration.\n", "\n", "Please implement the `weight_update_function()` that returns updated $\\Omega^T$. Methods/attribute you may need are `numpy.dot()` and `numpy.reshape()`." ] }, { "cell_type": "code", "execution_count": 461, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "9219ed2298b54356ef08639fe19208e2", "grade": false, "grade_id": "Gradient_Descent-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 6: implement weight update function. (2 points in total)\n", "\n", "def weight_update_function(x, y, omegaT, alpha):\n", " \"\"\"\n", " return updated set of weights\n", " \n", " Args:\n", " x (numpy.ndarray): numpy array of features (n data points, m features). Shape (n, m)\n", " y (numpy.ndarray): numpy array of corresponding targets. Shape (n, 1)\n", " omegaT (numpy.ndarray): weight vector (transposed). Shape (m, 1)\n", " alpha (float): learning rate.\n", " \n", " Returns:\n", " omega_updated (numpy.ndarray): the updated weight vector. Shape (m, 1)\n", " \"\"\"\n", " omega_updated = None # please update this in your solution\n", "\n", " #print(1/y.shape[0] * np.sum((np.expand_dims(np.sum(omegaT.T* x, axis=1), axis=1) - y)*x, axis=0))\n", " \n", " omega_updated = omegaT - np.expand_dims(alpha/y.shape[0] * np.sum((np.expand_dims(np.sum(omegaT.T* x, axis=1), axis=1) - y)*x, axis=0), axis=1)\n", " \n", " return omega_updated\n", "\n", "\n", "a = np.array([[1.0, 2.0], [2.0, 2.0], [1.0, 2.0], [2.0, 2.0]])\n", "b = np.array([[1.0], [2.0], [1.0], [2.0]])\n", "result = weight_update_function(a, b, w, 0.001)\n", "assert abs(np.mean(result) - 0.996) <= 0.01\n", "assert result.shape == w.shape" ] }, { "cell_type": "code", "execution_count": 395, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "c225c91805a25ef61fb1523bdaa6c474", "grade": true, "grade_id": "Gradient_Descent-test_1", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[3. 4.]\n" ] } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 points: check the output value and shape of your weight_update_function\n", "result = weight_update_function(a, b, w, 0.001)\n", "assert abs(np.mean(result) - 0.996) <= 0.01\n", "assert result.shape == w.shape\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 396, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "5945f61970177f021873074c8f573712", "grade": true, "grade_id": "Gradient_Descent-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden test below\n", "# 1 point: further tests to check the output of the weight_update_function function\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "88fb4084875e771a0f50675db6e2b1dd", "grade": false, "grade_id": "cell-7425ef1050a146d1", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "### Training & plot\n", "To monitor the training process, here we use mean absolute error (mae):\n", "\\begin{align}\n", "MAE = \\frac{1}{n}\\sum^n_{i=1} |\\text{y_pred}_i - \\text{y_real}_i|\n", "\\end{align}\n", "Please implement the `mean_absolute_error()` that returns MAE. Methods/attribute you may need are `numpy.sum()`, `numpy.dot()` and `numpy.abs()`." ] }, { "cell_type": "code", "execution_count": 397, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "29b23eb207eaba7d20cd1d54e7a03e37", "grade": false, "grade_id": "MAE-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 7: implement mean absolute function. (2 points in total)\n", "\n", "def mean_absolute_error(x, y, omegaT):\n", " \"\"\"\n", " return the mean absolute error\n", " \n", " Args:\n", " x (numpy.ndarray): numpy array of features (n data points, m features). Shape (n, m)\n", " y (numpy.ndarray): numpy array of corresponding targets. Shape (n, 1)\n", " omegaT (numpy.ndarray): weight vector (transposed). Shape (m, 1)\n", " \n", " Returns:\n", " mse (numpy.float64 or float): mean absolute error.\n", " \"\"\"\n", " mae = None # please update this in your solution\n", " \n", " mae = np.sum(np.abs(np.dot(omegaT.T, x.T) - y.T))/y.shape[0]\n", "\n", " \n", " return mae" ] }, { "cell_type": "code", "execution_count": 398, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "3bdf8639f9007b75d9a38bbb3617d6f2", "grade": true, "grade_id": "MAE-test_1", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 points: check the output value and shape of your mean_absolute_error function\n", "result = mean_absolute_error(a, b, w)\n", "assert np.round(result) == 2.0\n", "assert type(result) == np.float64 or type(result) == float\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 399, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "eb976ece48b75f53773fd868fccb0bbe", "grade": true, "grade_id": "MAE-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden test below\n", "# 1 point: further tests to check the output of the mean_absolute_error function\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "0cc44d69ab7bd4ebe63f3a7d333609ee", "grade": false, "grade_id": "cell-851877d35d2dd051", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "For the last step before training the model, let's set up the learning rate and number of iterations. We use `J_train` and `J_val` to record mean absolute errors for each epoch of the training and validation processes." ] }, { "cell_type": "code", "execution_count": 400, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "4ac7bac11c32ff5082211ee23321a214", "grade": false, "grade_id": "cell-fcab24a7683a7370", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# defining parameter values\n", "\n", "epochs = 10000 # number of updates to weights, aka omegaT\n", "alpha = 0.001 # learning rate\n", "J_train = np.zeros(epochs) # MAE of training process\n", "J_val = np.zeros(epochs) # MAE of validation process\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "21cc4278a129505b0d3151588367fce1", "grade": false, "grade_id": "cell-13d06de7e4e3c1f5", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Now, let's train our model by updating `omegaT` with the `weight_update_function()` and record mean absolute errors through `mean_absolute_error()` for the training/validation process." ] }, { "cell_type": "code", "execution_count": 401, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "dea73851dbe92facb2ab0e8105fda70d", "grade": false, "grade_id": "Train_Loop-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[3.88738423 1.98309821 1.75446335 2.0796995 1.90046204]\n", "[3.87981401 1.97923979 1.75085588 2.07576341 1.89683337]\n", "[3.87225855 1.97538888 1.74725546 2.07183498 1.89321176]\n", "[3.86471779 1.97154547 1.74366207 2.06791417 1.88959718]\n", "[3.85719172 1.96770953 1.74007568 2.06400099 1.88598962]\n", "[3.84968031 1.96388105 1.7364963 2.06009542 1.88238908]\n", "[3.84218353 1.96006002 1.73292391 2.05619743 1.87879554]\n", "[3.83470135 1.95624642 1.72935849 2.05230702 1.87520898]\n", "[3.82723375 1.95244025 1.72580004 2.04842417 1.87162939]\n", "[3.81978069 1.94864148 1.72224852 2.04454887 1.86805676]\n", "[3.81234214 1.94485009 1.71870395 2.0406811 1.86449107]\n", "[3.80491808 1.94106609 1.71516629 2.03682085 1.86093231]\n", "[3.79750848 1.93728944 1.71163554 2.03296809 1.85738047]\n", "[3.79011331 1.93352015 1.70811168 2.02912283 1.85383553]\n", "[3.78273255 1.92975818 1.7045947 2.02528504 1.85029748]\n", "[3.77536616 1.92600353 1.70108458 2.02145471 1.84676631]\n", "[3.76801411 1.92225619 1.69758132 2.01763182 1.843242 ]\n", "[3.76067639 1.91851614 1.6940849 2.01381636 1.83972454]\n", "[3.75335296 1.91478336 1.69059531 2.01000832 1.83621391]\n", "[3.74604379 1.91105785 1.68711252 2.00620768 1.83271011]\n", "[3.73874885 1.90733958 1.68363654 2.00241442 1.82921312]\n", "[3.73146813 1.90362855 1.68016734 1.99862854 1.82572292]\n", "[3.72420158 1.89992473 1.67670492 1.99485002 1.82223951]\n", "[3.71694919 1.89622813 1.67324925 1.99107883 1.81876287]\n", "[3.70971092 1.89253871 1.66980033 1.98731498 1.81529299]\n", "[3.70248675 1.88885647 1.66635815 1.98355844 1.81182984]\n", "[3.69527665 1.88518139 1.66292268 1.9798092 1.80837343]\n", "[3.6880806 1.88151346 1.65949393 1.97606725 1.80492374]\n", "[3.68089855 1.87785267 1.65607187 1.97233257 1.80148075]\n", "[3.6737305 1.874199 1.65265648 1.96860515 1.79804445]\n", "[3.66657641 1.87055244 1.64924777 1.96488497 1.79461483]\n", "[3.65943625 1.86691297 1.64584571 1.96117202 1.79119188]\n", "[3.65231 1.86328058 1.6424503 1.95746629 1.78777557]\n", "[3.64519763 1.85965526 1.63906151 1.95376776 1.78436591]\n", "[3.63809911 1.85603699 1.63567934 1.95007641 1.78096287]\n", "[3.63101441 1.85242575 1.63230377 1.94639224 1.77756645]\n", "[3.62394352 1.84882155 1.6289348 1.94271523 1.77417663]\n", "[3.61688639 1.84522435 1.6255724 1.93904537 1.77079339]\n", "[3.60984302 1.84163416 1.62221656 1.93538264 1.76741673]\n", "[3.60281336 1.83805094 1.61886728 1.93172702 1.76404663]\n", "[3.59579739 1.8344747 1.61552454 1.92807851 1.76068308]\n", "[3.58879508 1.83090541 1.61218833 1.92443709 1.75732607]\n", "[3.58180642 1.82734307 1.60885863 1.92080275 1.75397558]\n", "[3.57483136 1.82378766 1.60553543 1.91717546 1.75063161]\n", "[3.56786989 1.82023916 1.60221872 1.91355523 1.74729413]\n", "[3.56092198 1.81669757 1.59890848 1.90994203 1.74396314]\n", "[3.55398761 1.81316287 1.59560471 1.90633586 1.74063862]\n", "[3.54706674 1.80963504 1.59230739 1.90273669 1.73732056]\n", "[3.54015934 1.80611408 1.58901651 1.89914452 1.73400895]\n", "[3.53326541 1.80259996 1.58573205 1.89555932 1.73070377]\n", "[3.52638489 1.79909268 1.58245401 1.89198109 1.72740502]\n", "[3.51951778 1.79559223 1.57918236 1.88840982 1.72411268]\n", "[3.51266405 1.79209858 1.57591711 1.88484549 1.72082673]\n", "[3.50582366 1.78861173 1.57265823 1.88128808 1.71754718]\n", "[3.4989966 1.78513166 1.56940572 1.87773759 1.71427399]\n", "[3.49218283 1.78165836 1.56615955 1.87419399 1.71100717]\n", "[3.48538234 1.77819182 1.56291973 1.87065728 1.70774669]\n", "[3.47859509 1.77473202 1.55968623 1.86712745 1.70449255]\n", "[3.47182106 1.77127895 1.55645904 1.86360447 1.70124473]\n", "[3.46506022 1.7678326 1.55323816 1.86008834 1.69800323]\n", "[3.45831256 1.76439295 1.55002357 1.85657904 1.69476802]\n", "[3.45157803 1.76096 1.54681525 1.85307656 1.6915391 ]\n", "[3.44485662 1.75753372 1.5436132 1.84958089 1.68831646]\n", "[3.43814831 1.75411411 1.5404174 1.84609201 1.68510007]\n", "[3.43145306 1.75070115 1.53722784 1.8426099 1.68188994]\n", "[3.42477084 1.74729483 1.53404451 1.83913457 1.67868605]\n", "[3.41810165 1.74389513 1.5308674 1.83566599 1.67548838]\n", "[3.41144544 1.74050205 1.52769649 1.83220415 1.67229692]\n", "[3.4048022 1.73711557 1.52453177 1.82874903 1.66911167]\n", "[3.3981719 1.73373567 1.52137324 1.82530063 1.66593261]\n", "[3.39155451 1.73036235 1.51822087 1.82185893 1.66275972]\n", "[3.38495001 1.7269956 1.51507466 1.81842391 1.659593 ]\n", "[3.37835838 1.72363539 1.51193459 1.81499558 1.65643243]\n", "[3.37177958 1.72028172 1.50880065 1.8115739 1.65327801]\n", "[3.3652136 1.71693457 1.50567283 1.80815887 1.65012971]\n", "[3.3586604 1.71359393 1.50255113 1.80475048 1.64698753]\n", "[3.35211997 1.71025979 1.49943551 1.80134871 1.64385146]\n", "[3.34559228 1.70693214 1.49632599 1.79795355 1.64072148]\n", "[3.3390773 1.70361096 1.49322253 1.79456499 1.63759758]\n", "[3.33257502 1.70029624 1.49012514 1.79118301 1.63447975]\n", "[3.32608539 1.69698797 1.48703379 1.7878076 1.63136799]\n", "[3.31960841 1.69368613 1.48394849 1.78443875 1.62826226]\n", "[3.31314404 1.69039072 1.4808692 1.78107645 1.62516257]\n", "[3.30669227 1.68710171 1.47779594 1.77772068 1.62206891]\n", "[3.30025306 1.68381911 1.47472867 1.77437143 1.61898126]\n", "[3.29382639 1.68054289 1.47166739 1.77102869 1.6158996 ]\n", "[3.28741224 1.67727304 1.46861209 1.76769244 1.61282394]\n", "[3.28101058 1.67400955 1.46556276 1.76436268 1.60975425]\n", "[3.27462139 1.67075241 1.46251939 1.76103938 1.60669052]\n", "[3.26824465 1.66750161 1.45948196 1.75772254 1.60363275]\n", "[3.26188033 1.66425713 1.45645046 1.75441215 1.60058092]\n", "[3.2555284 1.66101896 1.45342488 1.75110819 1.59753502]\n", "[3.24918884 1.65778709 1.45040521 1.74781065 1.59449503]\n", "[3.24286164 1.65456151 1.44739144 1.74451951 1.59146096]\n", "[3.23654675 1.6513422 1.44438355 1.74123477 1.58843278]\n", "[3.23024417 1.64812915 1.44138154 1.73795642 1.58541048]\n", "[3.22395386 1.64492235 1.4383854 1.73468443 1.58239405]\n", "[3.21767581 1.6417218 1.4353951 1.7314188 1.57938349]\n", "[3.21140998 1.63852746 1.43241065 1.72815951 1.57637878]\n", "[3.20515636 1.63533934 1.42943202 1.72490656 1.5733799 ]\n", "[3.19891492 1.63215742 1.42645921 1.72165993 1.57038685]\n", "[3.19268563 1.62898169 1.42349221 1.7184196 1.56739962]\n", "[3.18646848 1.62581214 1.420531 1.71518557 1.56441819]\n", "[3.18026344 1.62264876 1.41757558 1.71195783 1.56144255]\n", "[3.17407048 1.61949152 1.41462593 1.70873635 1.55847269]\n", "[3.16788959 1.61634043 1.41168204 1.70552113 1.55550861]\n", "[3.16172073 1.61319547 1.4087439 1.70231216 1.55255028]\n", "[3.15556389 1.61005662 1.4058115 1.69910943 1.5495977 ]\n", "[3.14941905 1.60692388 1.40288483 1.69591292 1.54665086]\n", "[3.14328617 1.60379723 1.39996387 1.69272262 1.54370974]\n", "[3.13716524 1.60067667 1.39704862 1.68953851 1.54077434]\n", "[3.13105623 1.59756217 1.39413907 1.68636059 1.53784464]\n", "[3.12495911 1.59445374 1.39123519 1.68318885 1.53492064]\n", "[3.11887388 1.59135135 1.38833699 1.68002327 1.53200231]\n", "[3.1128005 1.58825499 1.38544445 1.67686384 1.52908965]\n", "[3.10673895 1.58516466 1.38255756 1.67371055 1.52618266]\n", "[3.1006892 1.58208034 1.37967631 1.67056338 1.52328131]\n", "[3.09465124 1.57900201 1.37680069 1.66742233 1.52038559]\n", "[3.08862504 1.57592968 1.37393068 1.66428738 1.51749551]\n", "[3.08261057 1.57286332 1.37106629 1.66115852 1.51461104]\n", "[3.07660782 1.56980292 1.36820748 1.65803574 1.51173217]\n", "[3.07061677 1.56674848 1.36535426 1.65491902 1.50885889]\n", "[3.06463738 1.56369998 1.36250662 1.65180836 1.5059912 ]\n", "[3.05866964 1.56065741 1.35966453 1.64870375 1.50312908]\n", "[3.05271353 1.55762076 1.356828 1.64560516 1.50027252]\n", "[3.04676901 1.55459001 1.35399701 1.6425126 1.49742151]\n", "[3.04083608 1.55156516 1.35117155 1.63942604 1.49457604]\n", "[3.0349147 1.54854619 1.34835161 1.63634548 1.49173609]\n", "[3.02900485 1.54553309 1.34553718 1.63327091 1.48890167]\n", "[3.02310652 1.54252586 1.34272825 1.63020231 1.48607275]\n", "[3.01721967 1.53952447 1.3399248 1.62713966 1.48324933]\n", "[3.01134429 1.53652892 1.33712683 1.62408297 1.48043139]\n", "[3.00548036 1.5335392 1.33433433 1.62103222 1.47761892]\n", "[2.99962785 1.5305553 1.33154728 1.61798739 1.47481192]\n", "[2.99378673 1.52757719 1.32876567 1.61494848 1.47201038]\n", "[2.987957 1.52460488 1.3259895 1.61191547 1.46921427]\n", "[2.98213862 1.52163835 1.32321876 1.60888836 1.4664236 ]\n", "[2.97633157 1.5186776 1.32045342 1.60586712 1.46363835]\n", "[2.97053584 1.5157226 1.31769349 1.60285176 1.46085851]\n", "[2.96475139 1.51277334 1.31493895 1.59984225 1.45808407]\n", "[2.95897821 1.50982983 1.3121898 1.59683859 1.45531502]\n", "[2.95321628 1.50689204 1.30944601 1.59384076 1.45255135]\n", "[2.94746557 1.50395996 1.30670758 1.59084876 1.44979305]\n", "[2.94172606 1.50103359 1.30397451 1.58786256 1.44704011]\n", "[2.93599773 1.4981129 1.30124677 1.58488217 1.44429251]\n", "[2.93028056 1.4951979 1.29852436 1.58190757 1.44155025]\n", "[2.92457452 1.49228857 1.29580727 1.57893875 1.43881332]\n", "[2.9188796 1.4893849 1.29309549 1.5759757 1.43608171]\n", "[2.91319578 1.48648687 1.29038901 1.5730184 1.4333554 ]\n", "[2.90752302 1.48359449 1.28768782 1.57006684 1.43063439]\n", "[2.90186131 1.48070772 1.2849919 1.56712102 1.42791867]\n", "[2.89621064 1.47782658 1.28230125 1.56418092 1.42520822]\n", "[2.89057096 1.47495103 1.27961586 1.56124654 1.42250304]\n", "[2.88494228 1.47208108 1.27693571 1.55831785 1.41980311]\n", "[2.87932456 1.46921671 1.2742608 1.55539485 1.41710842]\n", "[2.87371778 1.46635791 1.27159112 1.55247753 1.41441897]\n", "[2.86812192 1.46350468 1.26892665 1.54956588 1.41173475]\n", "[2.86253696 1.46065699 1.26626739 1.54665988 1.40905574]\n", "[2.85696288 1.45781484 1.26361333 1.54375953 1.40638193]\n", "[2.85139966 1.45497822 1.26096445 1.54086481 1.40371332]\n", "[2.84584727 1.45214711 1.25832074 1.53797571 1.40104989]\n", "[2.8403057 1.44932151 1.25568221 1.53509223 1.39839164]\n", "[2.83477493 1.44650141 1.25304882 1.53221434 1.39573854]\n", "[2.82925493 1.44368679 1.25042059 1.52934205 1.39309061]\n", "[2.82374568 1.44087765 1.24779748 1.52647534 1.39044781]\n", "[2.81824716 1.43807397 1.24517951 1.52361419 1.38781015]\n", "[2.81275935 1.43527575 1.24256665 1.5207586 1.38517761]\n", "[2.80728223 1.43248296 1.23995889 1.51790856 1.38255019]\n", "[2.80181578 1.42969561 1.23735623 1.51506406 1.37992787]\n", "[2.79635998 1.42691368 1.23475866 1.51222508 1.37731065]\n", "[2.79091481 1.42413716 1.23216616 1.50939161 1.3746985 ]\n", "[2.78548024 1.42136604 1.22957872 1.50656365 1.37209144]\n", "[2.78005626 1.41860031 1.22699635 1.50374118 1.36948943]\n", "[2.77464284 1.41583996 1.22441902 1.5009242 1.36689248]\n", "[2.76923997 1.41308497 1.22184672 1.49811268 1.36430058]\n", "[2.76384763 1.41033535 1.21927946 1.49530663 1.36171371]\n", "[2.75846578 1.40759107 1.2167172 1.49250602 1.35913186]\n", "[2.75309442 1.40485213 1.21415996 1.48971086 1.35655503]\n", "[2.74773353 1.40211852 1.21160771 1.48692112 1.3539832 ]\n", "[2.74238307 1.39939022 1.20906045 1.48413681 1.35141637]\n", "[2.73704304 1.39666723 1.20651817 1.4813579 1.34885453]\n", "[2.73171341 1.39394954 1.20398086 1.47858439 1.34629766]\n", "[2.72639416 1.39123713 1.2014485 1.47581626 1.34374576]\n", "[2.72108528 1.38853 1.1989211 1.47305352 1.34119881]\n", "[2.71578673 1.38582813 1.19639863 1.47029613 1.33865681]\n", "[2.71049851 1.38313152 1.19388109 1.46754411 1.33611975]\n", "[2.70522059 1.38044015 1.19136847 1.46479743 1.33358762]\n", "[2.69995294 1.37775402 1.18886076 1.46205608 1.3310604 ]\n", "[2.69469556 1.37507311 1.18635796 1.45932006 1.3285381 ]\n", "[2.68944842 1.37239741 1.18386004 1.45658935 1.32602069]\n", "[2.6842115 1.36972692 1.18136701 1.45386395 1.32350817]\n", "[2.67898479 1.36706162 1.17887885 1.45114384 1.32100053]\n", "[2.67376825 1.36440151 1.17639555 1.44842901 1.31849776]\n", "[2.66856188 1.36174657 1.1739171 1.44571945 1.31599986]\n", "[2.66336564 1.35909679 1.1714435 1.44301516 1.3135068 ]\n", "[2.65817953 1.35645217 1.16897473 1.44031612 1.31101859]\n", "[2.65300352 1.35381269 1.16651079 1.43762232 1.30853521]\n", "[2.6478376 1.35117834 1.16405166 1.43493375 1.30605665]\n", "[2.64268174 1.34854912 1.16159734 1.43225041 1.30358291]\n", "[2.63753592 1.34592501 1.15914781 1.42957227 1.30111397]\n", "[2.63240012 1.343306 1.15670307 1.42689934 1.29864983]\n", "[2.62727433 1.34069208 1.15426311 1.4242316 1.29619047]\n", "[2.62215852 1.33808325 1.15182792 1.42156904 1.29373589]\n", "[2.61705268 1.3354795 1.14939749 1.41891165 1.29128608]\n", "[2.61195679 1.33288081 1.14697181 1.41625942 1.28884102]\n", "[2.60687082 1.33028717 1.14455087 1.41361235 1.28640071]\n", "[2.60179476 1.32769857 1.14213466 1.41097041 1.28396515]\n", "[2.59672859 1.32511501 1.13972318 1.4083336 1.28153431]\n", "[2.59167228 1.32253648 1.13731641 1.40570192 1.27910819]\n", "[2.58662583 1.31996296 1.13491434 1.40307534 1.27668679]\n", "[2.5815892 1.31739444 1.13251697 1.40045387 1.27427009]\n", "[2.57656239 1.31483092 1.13012428 1.39783749 1.27185808]\n", "[2.57154537 1.31227239 1.12773627 1.39522619 1.26945076]\n", "[2.56653812 1.30971883 1.12535293 1.39261996 1.26704811]\n", "[2.56154063 1.30717023 1.12297424 1.39001879 1.26465012]\n", "[2.55655287 1.3046266 1.12060021 1.38742267 1.2622568 ]\n", "[2.55157483 1.30208791 1.11823081 1.3848316 1.25986812]\n", "[2.54660648 1.29955416 1.11586605 1.38224555 1.25748408]\n", "[2.54164781 1.29702533 1.11350591 1.37966453 1.25510467]\n", "[2.53669881 1.29450142 1.11115038 1.37708852 1.25272989]\n", "[2.53175944 1.29198242 1.10879946 1.37451752 1.25035971]\n", "[2.52682969 1.28946832 1.10645313 1.3719515 1.24799414]\n", "[2.52190955 1.28695911 1.10411139 1.36939047 1.24563316]\n", "[2.516999 1.28445478 1.10177423 1.36683442 1.24327677]\n", "[2.512098 1.28195532 1.09944163 1.36428332 1.24092495]\n", "[2.50720656 1.27946072 1.0971136 1.36173718 1.2385777 ]\n", "[2.50232464 1.27697097 1.09479012 1.35919599 1.23623501]\n", "[2.49745224 1.27448607 1.09247117 1.35665973 1.23389686]\n", "[2.49258932 1.27200599 1.09015677 1.35412839 1.23156326]\n", "[2.48773588 1.26953074 1.08784688 1.35160197 1.22923419]\n", "[2.4828919 1.2670603 1.08554151 1.34908046 1.22690964]\n", "[2.47805735 1.26459467 1.08324065 1.34656384 1.22458961]\n", "[2.47323221 1.26213383 1.08094429 1.34405211 1.22227408]\n", "[2.46841648 1.25967778 1.07865241 1.34154526 1.21996305]\n", "[2.46361013 1.2572265 1.07636502 1.33904327 1.21765651]\n", "[2.45881314 1.25477999 1.07408209 1.33654614 1.21535444]\n", "[2.4540255 1.25233824 1.07180363 1.33405387 1.21305685]\n", "[2.44924718 1.24990124 1.06952963 1.33156643 1.21076372]\n", "[2.44447817 1.24746898 1.06726007 1.32908382 1.20847504]\n", "[2.43971845 1.24504144 1.06499494 1.32660603 1.2061908 ]\n", "[2.434968 1.24261863 1.06273425 1.32413305 1.203911 ]\n", "[2.43022681 1.24020053 1.06047797 1.32166488 1.20163563]\n", "[2.42549485 1.23778713 1.05822611 1.3192015 1.19936468]\n", "[2.42077212 1.23537842 1.05597865 1.3167429 1.19709813]\n", "[2.41605858 1.2329744 1.05373558 1.31428908 1.19483599]\n", "[2.41135422 1.23057505 1.0514969 1.31184002 1.19257824]\n", "[2.40665903 1.22818037 1.04926259 1.30939571 1.19032487]\n", "[2.40197298 1.22579035 1.04703266 1.30695615 1.18807588]\n", "[2.39729607 1.22340497 1.04480708 1.30452133 1.18583126]\n", "[2.39262826 1.22102424 1.04258585 1.30209124 1.18359099]\n", "[2.38796955 1.21864813 1.04036897 1.29966586 1.18135508]\n", "[2.38331991 1.21627664 1.03815642 1.2972452 1.1791235 ]\n", "[2.37867933 1.21390976 1.0359482 1.29482923 1.17689626]\n", "[2.37404779 1.21154749 1.0337443 1.29241796 1.17467335]\n", "[2.36942528 1.20918981 1.0315447 1.29001136 1.17245475]\n", "[2.36481177 1.20683672 1.0293494 1.28760944 1.17024046]\n", "[2.36020724 1.2044882 1.0271584 1.28521219 1.16803047]\n", "[2.35561169 1.20214425 1.02497168 1.28281959 1.16582477]\n", "[2.35102509 1.19980486 1.02278924 1.28043163 1.16362335]\n", "[2.34644742 1.19747001 1.02061106 1.27804831 1.1614262 ]\n", "[2.34187867 1.19513971 1.01843715 1.27566962 1.15923333]\n", "[2.33731882 1.19281394 1.01626748 1.27329554 1.15704471]\n", "[2.33276786 1.19049269 1.01410206 1.27092608 1.15486034]\n", "[2.32822576 1.18817595 1.01194087 1.26856121 1.15268021]\n", "[2.32369251 1.18586372 1.00978391 1.26620094 1.15050431]\n", "[2.31916809 1.18355598 1.00763116 1.26384525 1.14833264]\n", "[2.31465248 1.18125274 1.00548262 1.26149413 1.14616519]\n", "[2.31014567 1.17895397 1.00333829 1.25914758 1.14400194]\n", "[2.30564764 1.17665967 1.00119815 1.25680559 1.1418429 ]\n", "[2.30115837 1.17436984 0.99906219 1.25446814 1.13968804]\n", "[2.29667785 1.17208445 0.99693041 1.25213523 1.13753737]\n", "[2.29220606 1.16980351 0.9948028 1.24980685 1.13539088]\n", "[2.28774298 1.16752701 0.99267935 1.24748299 1.13324855]\n", "[2.28328859 1.16525493 0.99056005 1.24516364 1.13111038]\n", "[2.27884289 1.16298727 0.9884449 1.24284879 1.12897637]\n", "[2.27440584 1.16072402 0.98633388 1.24053844 1.12684649]\n", "[2.26997743 1.15846517 0.98422699 1.23823257 1.12472076]\n", "[2.26555766 1.15621072 0.98212422 1.23593118 1.12259915]\n", "[2.26114649 1.15396064 0.98002556 1.23363426 1.12048165]\n", "[2.25674392 1.15171495 0.97793101 1.2313418 1.11836827]\n", "[2.25234992 1.14947362 0.97584055 1.22905378 1.116259 ]\n", "[2.24796448 1.14723664 0.97375419 1.22677021 1.11415382]\n", "[2.24358759 1.14500402 0.9716719 1.22449108 1.11205272]\n", "[2.23921923 1.14277574 0.96959368 1.22221636 1.1099557 ]\n", "[2.23485937 1.14055179 0.96751953 1.21994607 1.10786276]\n", "[2.23050801 1.13833217 0.96544944 1.21768018 1.10577388]\n", "[2.22616512 1.13611686 0.96338339 1.21541869 1.10368905]\n", "[2.2218307 1.13390586 0.96132138 1.21316159 1.10160827]\n", "[2.21750472 1.13169916 0.95926341 1.21090887 1.09953154]\n", "[2.21318717 1.12949675 0.95720946 1.20866053 1.09745883]\n", "[2.20887802 1.12729862 0.95515953 1.20641655 1.09539015]\n", "[2.20457728 1.12510477 0.95311361 1.20417692 1.09332548]\n", "[2.20028491 1.12291518 0.95107169 1.20194165 1.09126482]\n", "[2.1960009 1.12072986 0.94903376 1.19971071 1.08920816]\n", "[2.19172524 1.11854878 0.94699982 1.1974841 1.0871555 ]\n", "[2.18745791 1.11637194 0.94496986 1.19526182 1.08510682]\n", "[2.1831989 1.11419933 0.94294387 1.19304385 1.08306211]\n", "[2.17894818 1.11203095 0.94092184 1.19083019 1.08102138]\n", "[2.17470574 1.10986678 0.93890376 1.18862082 1.07898461]\n", "[2.17047157 1.10770682 0.93688964 1.18641574 1.07695179]\n", "[2.16624564 1.10555107 0.93487945 1.18421495 1.07492292]\n", "[2.16202795 1.1033995 0.93287319 1.18201842 1.07289798]\n", "[2.15781848 1.10125212 0.93087086 1.17982616 1.07087698]\n", "[2.1536172 1.09910891 0.92887245 1.17763815 1.0688599 ]\n", "[2.14942412 1.09696987 0.92687794 1.17545439 1.06684674]\n", "[2.1452392 1.09483499 0.92488734 1.17327487 1.06483748]\n", "[2.14106243 1.09270426 0.92290063 1.17109959 1.06283213]\n", "[2.1368938 1.09057768 0.9209178 1.16892852 1.06083066]\n", "[2.13273329 1.08845522 0.91893886 1.16676167 1.05883309]\n", "[2.12858089 1.0863369 0.91696378 1.16459902 1.05683939]\n", "[2.12443658 1.08422269 0.91499257 1.16244057 1.05484956]\n", "[2.12030034 1.0821126 0.91302521 1.16028632 1.05286359]\n", "[2.11617216 1.08000661 0.91106171 1.15813624 1.05088148]\n", "[2.11205202 1.07790471 0.90910204 1.15599034 1.04890322]\n", "[2.10793991 1.0758069 0.90714621 1.1538486 1.04692879]\n", "[2.10383581 1.07371317 0.9051942 1.15171102 1.0449582 ]\n", "[2.0997397 1.07162351 0.90324601 1.14957758 1.04299143]\n", "[2.09565158 1.06953791 0.90130164 1.14744829 1.04102849]\n", "[2.09157142 1.06745637 0.89936106 1.14532314 1.03906935]\n", "[2.08749921 1.06537887 0.89742429 1.1432021 1.03711401]\n", "[2.08343493 1.06330542 0.8954913 1.14108519 1.03516247]\n", "[2.07937857 1.06123599 0.89356209 1.13897238 1.03321472]\n", "[2.07533012 1.05917059 0.89163666 1.13686367 1.03127075]\n", "[2.07128955 1.05710921 0.889715 1.13475906 1.02933055]\n", "[2.06725685 1.05505183 0.88779709 1.13265853 1.02739412]\n", "[2.06323201 1.05299846 0.88588294 1.13056208 1.02546145]\n", "[2.05921502 1.05094907 0.88397253 1.1284697 1.02353253]\n", "[2.05520584 1.04890367 0.88206586 1.12638138 1.02160735]\n", "[2.05120448 1.04686225 0.88016292 1.12429711 1.01968591]\n", "[2.04721092 1.0448248 0.8782637 1.12221689 1.0177682 ]\n", "[2.04322513 1.04279131 0.8763682 1.1201407 1.01585421]\n", "[2.03924711 1.04076177 0.8744764 1.11806855 1.01394393]\n", "[2.03527684 1.03873618 0.87258831 1.11600041 1.01203737]\n", "[2.03131431 1.03671452 0.87070391 1.11393629 1.0101345 ]\n", "[2.02735949 1.0346968 0.8688232 1.11187618 1.00823533]\n", "[2.02341238 1.032683 0.86694617 1.10982007 1.00633984]\n", "[2.01947296 1.03067311 0.86507281 1.10776794 1.00444803]\n", "[2.01554122 1.02866714 0.86320312 1.1057198 1.0025599 ]\n", "[2.01161713 1.02666506 0.86133709 1.10367563 1.00067543]\n", "[2.00770069 1.02466688 0.8594747 1.10163543 0.99879461]\n", "[2.00379189 1.02267258 0.85761596 1.09959919 0.99691745]\n", "[1.99989069 1.02068216 0.85576086 1.0975669 0.99504393]\n", "[1.9959971 1.0186956 0.85390939 1.09553856 0.99317405]\n", "[1.99211109 1.01671291 0.85206154 1.09351415 0.99130779]\n", "[1.98823266 1.01473408 0.8502173 1.09149367 0.98944516]\n", "[1.98436178 1.01275909 0.84837668 1.08947712 0.98758614]\n", "[1.98049844 1.01078795 0.84653965 1.08746447 0.98573073]\n", "[1.97664263 1.00882063 0.84470622 1.08545573 0.98387892]\n", "[1.97279433 1.00685714 0.84287638 1.0834509 0.98203071]\n", "[1.96895353 1.00489747 0.84105012 1.08144995 0.98018608]\n", "[1.96512021 1.0029416 0.83922743 1.07945288 0.97834503]\n", "[1.96129436 1.00098954 0.83740831 1.07745969 0.97650756]\n", "[1.95747597 0.99904128 0.83559275 1.07547037 0.97467365]\n", "[1.95366501 0.9970968 0.83378075 1.07348491 0.9728433 ]\n", "[1.94986148 0.99515611 0.83197228 1.0715033 0.9710165 ]\n", "[1.94606536 0.99321918 0.83016736 1.06952553 0.96919325]\n", "[1.94227664 0.99128602 0.82836597 1.06755161 0.96737354]\n", "[1.93849529 0.98935662 0.8265681 1.06558152 0.96555736]\n", "[1.93472132 0.98743098 0.82477376 1.06361524 0.9637447 ]\n", "[1.9309547 0.98550907 0.82298292 1.06165279 0.96193556]\n", "[1.92719541 0.9835909 0.82119559 1.05969414 0.96012993]\n", "[1.92344345 0.98167646 0.81941176 1.05773929 0.95832781]\n", "[1.9196988 0.97976575 0.81763142 1.05578824 0.95652918]\n", "[1.91596145 0.97785874 0.81585456 1.05384097 0.95473404]\n", "[1.91223138 0.97595545 0.81408118 1.05189749 0.95294239]\n", "[1.90850857 0.97405585 0.81231127 1.04995777 0.95115421]\n", "[1.90479302 0.97215995 0.81054483 1.04802182 0.94936951]\n", "[1.90108471 0.97026774 0.80878184 1.04608962 0.94758826]\n", "[1.89738362 0.9683792 0.8070223 1.04416117 0.94581048]\n", "[1.89368975 0.96649434 0.80526621 1.04223647 0.94403614]\n", "[1.89000307 0.96461313 0.80351355 1.0403155 0.94226525]\n", "[1.88632357 0.96273559 0.80176432 1.03839825 0.94049779]\n", "[1.88265125 0.9608617 0.80001852 1.03648473 0.93873376]\n", "[1.87898607 0.95899145 0.79827614 1.03457492 0.93697316]\n", "[1.87532804 0.95712483 0.79653716 1.03266882 0.93521597]\n", "[1.87167714 0.95526185 0.79480159 1.03076641 0.93346219]\n", "[1.86803335 0.95340248 0.79306941 1.0288677 0.93171182]\n", "[1.86439666 0.95154673 0.79134063 1.02697267 0.92996484]\n", "[1.86076706 0.94969459 0.78961523 1.02508132 0.92822125]\n", "[1.85714452 0.94784605 0.78789321 1.02319363 0.92648105]\n", "[1.85352905 0.9460011 0.78617456 1.02130961 0.92474422]\n", "[1.84992062 0.94415974 0.78445927 1.01942925 0.92301076]\n", "[1.84631922 0.94232196 0.78274734 1.01755253 0.92128066]\n", "[1.84272483 0.94048776 0.78103876 1.01567946 0.91955393]\n", "[1.83913745 0.93865711 0.77933352 1.01381002 0.91783054]\n", "[1.83555706 0.93683003 0.77763163 1.0119442 0.9161105 ]\n", "[1.83198365 0.9350065 0.77593306 1.01008201 0.91439379]\n", "[1.8284172 0.93318651 0.77423782 1.00822343 0.91268042]\n", "[1.8248577 0.93137006 0.7725459 1.00636846 0.91097037]\n", "[1.82130513 0.92955715 0.77085729 1.00451708 0.90926363]\n", "[1.81775948 0.92774776 0.76917199 1.0026693 0.90756021]\n", "[1.81422075 0.92594188 0.76748998 1.0008251 0.9058601 ]\n", "[1.81068891 0.92413952 0.76581127 0.99898448 0.90416328]\n", "[1.80716395 0.92234065 0.76413584 0.99714743 0.90246976]\n", "[1.80364585 0.92054529 0.7624637 0.99531395 0.90077952]\n", "[1.80013462 0.91875342 0.76079483 0.99348402 0.89909256]\n", "[1.79663022 0.91696503 0.75912922 0.99165764 0.89740887]\n", "[1.79313265 0.91518011 0.75746688 0.98983481 0.89572845]\n", "[1.7896419 0.91339867 0.75580779 0.98801551 0.8940513 ]\n", "[1.78615795 0.91162069 0.75415195 0.98619974 0.89237739]\n", "[1.78268078 0.90984616 0.75249935 0.9843875 0.89070673]\n", "[1.7792104 0.90807509 0.75084998 0.98257877 0.88903932]\n", "[1.77574677 0.90630746 0.74920385 0.98077355 0.88737514]\n", "[1.77228989 0.90454326 0.74756094 0.97897183 0.88571418]\n", "[1.76883975 0.9027825 0.74592124 0.97717361 0.88405646]\n", "[1.76539633 0.90102515 0.74428476 0.97537887 0.88240194]\n", "[1.76195962 0.89927123 0.74265147 0.97358762 0.88075064]\n", "[1.75852961 0.89752071 0.74102139 0.97179984 0.87910254]\n", "[1.75510628 0.89577359 0.7393945 0.97001554 0.87745764]\n", "[1.75168962 0.89402987 0.73777079 0.96823469 0.87581593]\n", "[1.74827961 0.89228955 0.73615027 0.9664573 0.8741774 ]\n", "[1.74487625 0.8905526 0.73453291 0.96468335 0.87254205]\n", "[1.74147953 0.88881903 0.73291873 0.96291285 0.87090988]\n", "[1.73808942 0.88708883 0.7313077 0.96114578 0.86928087]\n", "[1.73470592 0.88536199 0.72969983 0.95938214 0.86765502]\n", "[1.731329 0.88363851 0.72809511 0.95762192 0.86603233]\n", "[1.72795867 0.88191839 0.72649353 0.95586511 0.86441278]\n", "[1.72459491 0.8802016 0.72489508 0.95411172 0.86279638]\n", "[1.7212377 0.87848815 0.72329977 0.95236172 0.86118311]\n", "[1.71788703 0.87677803 0.72170758 0.95061512 0.85957297]\n", "[1.71454289 0.87507124 0.7201185 0.94887191 0.85796596]\n", "[1.71120527 0.87336776 0.71853254 0.94713208 0.85636206]\n", "[1.70787415 0.8716676 0.71694969 0.94539562 0.85476127]\n", "[1.70454952 0.86997074 0.71536993 0.94366253 0.85316359]\n", "[1.70123137 0.86827718 0.71379327 0.94193281 0.85156901]\n", "[1.69791969 0.86658691 0.7122197 0.94020644 0.84997752]\n", "[1.69461446 0.86489993 0.7106492 0.93848341 0.84838912]\n", "[1.69131566 0.86321622 0.70908179 0.93676373 0.8468038 ]\n", "[1.6880233 0.86153579 0.70751744 0.93504739 0.84522156]\n", "[1.68473735 0.85985863 0.70595616 0.93333437 0.84364238]\n", "[1.6814578 0.85818472 0.70439793 0.93162468 0.84206627]\n", "[1.67818465 0.85651407 0.70284275 0.92991831 0.84049322]\n", "[1.67491787 0.85484667 0.70129063 0.92821524 0.83892321]\n", "[1.67165746 0.8531825 0.69974154 0.92651548 0.83735626]\n", "[1.6684034 0.85152158 0.69819548 0.92481901 0.83579234]\n", "[1.66515568 0.84986388 0.69665246 0.92312583 0.83423146]\n", "[1.66191429 0.8482094 0.69511245 0.92143594 0.8326736 ]\n", "[1.65867922 0.84655814 0.69357546 0.91974933 0.83111876]\n", "[1.65545045 0.84491009 0.69204148 0.91806599 0.82956694]\n", "[1.65222797 0.84326524 0.69051051 0.91638591 0.82801814]\n", "[1.64901177 0.84162359 0.68898253 0.91470909 0.82647233]\n", "[1.64580183 0.83998513 0.68745755 0.91303552 0.82492952]\n", "[1.64259816 0.83834985 0.68593556 0.9113652 0.82338971]\n", "[1.63940072 0.83671776 0.68441654 0.90969812 0.82185288]\n", "[1.63620951 0.83508883 0.6829005 0.90803428 0.82031904]\n", "[1.63302453 0.83346307 0.68138743 0.90637366 0.81878817]\n", "[1.62984575 0.83184047 0.67987733 0.90471626 0.81726026]\n", "[1.62667316 0.83022103 0.67837018 0.90306207 0.81573533]\n", "[1.62350676 0.82860473 0.67686599 0.90141109 0.81421335]\n", "[1.62034652 0.82699158 0.67536474 0.89976332 0.81269432]\n", "[1.61719245 0.82538156 0.67386643 0.89811874 0.81117823]\n", "[1.61404452 0.82377467 0.67237106 0.89647735 0.80966509]\n", "[1.61090272 0.8221709 0.67087861 0.89483914 0.80815488]\n", "[1.60776705 0.82057025 0.66938909 0.89320411 0.80664761]\n", "[1.60463748 0.81897271 0.66790249 0.89157226 0.80514325]\n", "[1.60151402 0.81737828 0.6664188 0.88994356 0.80364181]\n", "[1.59839664 0.81578695 0.66493802 0.88831803 0.80214329]\n", "[1.59528533 0.8141987 0.66346013 0.88669564 0.80064767]\n", "[1.59218009 0.81261355 0.66198515 0.88507641 0.79915495]\n", "[1.5890809 0.81103148 0.66051305 0.88346031 0.79766513]\n", "[1.58598775 0.80945248 0.65904383 0.88184735 0.7961782 ]\n", "[1.58290063 0.80787655 0.6575775 0.88023752 0.79469415]\n", "[1.57981952 0.80630368 0.65611404 0.8786308 0.79321297]\n", "[1.57674441 0.80473387 0.65465344 0.87702721 0.79173467]\n", "[1.5736753 0.80316711 0.65319571 0.87542672 0.79025924]\n", "[1.57061217 0.8016034 0.65174083 0.87382934 0.78878667]\n", "[1.56755501 0.80004273 0.6502888 0.87223505 0.78731696]\n", "[1.5645038 0.79848509 0.64883962 0.87064386 0.78585009]\n", "[1.56145854 0.79693047 0.64739328 0.86905575 0.78438607]\n", "[1.55841922 0.79537888 0.64594977 0.86747072 0.78292489]\n", "[1.55538581 0.79383031 0.64450909 0.86588877 0.78146654]\n", "[1.55235832 0.79228474 0.64307123 0.86430988 0.78001102]\n", "[1.54933673 0.79074218 0.64163619 0.86273406 0.77855833]\n", "[1.54632103 0.78920261 0.64020396 0.86116129 0.77710845]\n", "[1.5433112 0.78766604 0.63877453 0.85959157 0.77566138]\n", "[1.54030724 0.78613246 0.63734791 0.85802489 0.77421712]\n", "[1.53730913 0.78460185 0.63592408 0.85646125 0.77277566]\n", "[1.53431686 0.78307422 0.63450305 0.85490065 0.77133699]\n", "[1.53133043 0.78154956 0.6330848 0.85334307 0.76990112]\n", "[1.52834981 0.78002786 0.63166932 0.85178851 0.76846802]\n", "[1.52537501 0.77850912 0.63025662 0.85023696 0.76703771]\n", "[1.522406 0.77699333 0.62884669 0.84868843 0.76561017]\n", "[1.51944277 0.77548049 0.62743952 0.84714289 0.7641854 ]\n", "[1.51648532 0.77397059 0.62603511 0.84560035 0.76276339]\n", "[1.51353363 0.77246362 0.62463345 0.84406081 0.76134414]\n", "[1.5105877 0.77095958 0.62323454 0.84252424 0.75992764]\n", "[1.50764751 0.76945846 0.62183837 0.84099066 0.75851389]\n", "[1.50471304 0.76796026 0.62044494 0.83946005 0.75710288]\n", "[1.5017843 0.76646498 0.61905423 0.83793241 0.75569461]\n", "[1.49886126 0.7649726 0.61766626 0.83640773 0.75428906]\n", "[1.49594391 0.76348312 0.616281 0.83488601 0.75288625]\n", "[1.49303226 0.76199653 0.61489846 0.83336724 0.75148615]\n", "[1.49012627 0.76051283 0.61351862 0.83185141 0.75008876]\n", "[1.48722595 0.75903202 0.61214149 0.83033852 0.74869409]\n", "[1.48433129 0.75755408 0.61076706 0.82882856 0.74730212]\n", "[1.48144226 0.75607902 0.60939533 0.82732154 0.74591285]\n", "[1.47855886 0.75460682 0.60802628 0.82581743 0.74452627]\n", "[1.47568108 0.75313749 0.60665991 0.82431624 0.74314238]\n", "[1.47280891 0.75167101 0.60529623 0.82281796 0.74176117]\n", "[1.46994234 0.75020738 0.60393521 0.82132258 0.74038265]\n", "[1.46708135 0.74874659 0.60257687 0.81983011 0.73900679]\n", "[1.46422594 0.74728865 0.60122118 0.81834053 0.7376336 ]\n", "[1.4613761 0.74583353 0.59986816 0.81685383 0.73626308]\n", "[1.4585318 0.74438125 0.59851778 0.81537002 0.73489521]\n", "[1.45569305 0.74293178 0.59717005 0.81388908 0.73353 ]\n", "[1.45285984 0.74148514 0.59582497 0.81241102 0.73216743]\n", "[1.45003214 0.7400413 0.59448252 0.81093582 0.7308075 ]\n", "[1.44720995 0.73860027 0.5931427 0.80946348 0.72945021]\n", "[1.44439327 0.73716205 0.59180551 0.80799399 0.72809555]\n", "[1.44158207 0.73572661 0.59047094 0.80652736 0.72674352]\n", "[1.43877635 0.73429397 0.58913899 0.80506356 0.7253941 ]\n", "[1.4359761 0.73286411 0.58780964 0.80360261 0.72404731]\n", "[1.43318131 0.73143703 0.58648291 0.80214448 0.72270312]\n", "[1.43039196 0.73001272 0.58515877 0.80068919 0.72136155]\n", "[1.42760805 0.72859118 0.58383723 0.79923671 0.72002257]\n", "[1.42482956 0.7271724 0.58251828 0.79778705 0.71868619]\n", "[1.42205649 0.72575638 0.58120192 0.7963402 0.71735239]\n", "[1.41928882 0.72434311 0.57988813 0.79489616 0.71602119]\n", "[1.41652655 0.72293259 0.57857692 0.79345491 0.71469256]\n", "[1.41376966 0.72152481 0.57726829 0.79201646 0.71336651]\n", "[1.41101814 0.72011976 0.57596222 0.79058079 0.71204303]\n", "[1.40827199 0.71871745 0.57465871 0.78914791 0.71072212]\n", "[1.40553119 0.71731786 0.57335775 0.78771781 0.70940377]\n", "[1.40279572 0.71592099 0.57205935 0.78629048 0.70808797]\n", "[1.40006559 0.71452683 0.57076349 0.78486591 0.70677473]\n", "[1.39734078 0.71313538 0.56947017 0.78344411 0.70546403]\n", "[1.39462128 0.71174664 0.56817939 0.78202506 0.70415587]\n", "[1.39190708 0.7103606 0.56689113 0.78060876 0.70285024]\n", "[1.38919817 0.70897725 0.56560541 0.77919521 0.70154715]\n", "[1.38649454 0.70759658 0.5643222 0.7777844 0.70024658]\n", "[1.38379618 0.7062186 0.56304152 0.77637632 0.69894854]\n", "[1.38110308 0.7048433 0.56176334 0.77497098 0.69765301]\n", "[1.37841522 0.70347067 0.56048767 0.77356835 0.69635999]\n", "[1.3757326 0.70210071 0.5592145 0.77216845 0.69506948]\n", "[1.37305522 0.70073341 0.55794382 0.77077125 0.69378147]\n", "[1.37038305 0.69936877 0.55667564 0.76937677 0.69249595]\n", "[1.36771608 0.69800678 0.55540995 0.76798499 0.69121293]\n", "[1.36505432 0.69664743 0.55414674 0.7665959 0.68993239]\n", "[1.36239774 0.69529073 0.552886 0.76520951 0.68865434]\n", "[1.35974634 0.69393666 0.55162774 0.76382581 0.68737876]\n", "[1.35710011 0.69258522 0.55037194 0.76244478 0.68610566]\n", "[1.35445903 0.69123641 0.54911861 0.76106644 0.68483502]\n", "[1.3518231 0.68989023 0.54786773 0.75969076 0.68356685]\n", "[1.34919231 0.68854665 0.54661931 0.75831775 0.68230113]\n", "[1.34656665 0.68720569 0.54537334 0.75694741 0.68103787]\n", "[1.3439461 0.68586733 0.54412981 0.75557971 0.67977706]\n", "[1.34133066 0.68453158 0.54288872 0.75421467 0.67851869]\n", "[1.33872032 0.68319842 0.54165006 0.75285228 0.67726276]\n", "[1.33611507 0.68186785 0.54041383 0.75149252 0.67600926]\n", "[1.33351489 0.68053986 0.53918003 0.7501354 0.67475819]\n", "[1.33091978 0.67921446 0.53794864 0.74878091 0.67350955]\n", "[1.32832973 0.67789163 0.53671968 0.74742904 0.67226333]\n", "[1.32574472 0.67657137 0.53549312 0.7460798 0.67101952]\n", "[1.32316476 0.67525367 0.53426897 0.74473317 0.66977812]\n", "[1.32058982 0.67393854 0.53304721 0.74338915 0.66853913]\n", "[1.3180199 0.67262596 0.53182786 0.74204773 0.66730254]\n", "[1.31545499 0.67131594 0.5306109 0.74070891 0.66606835]\n", "[1.31289508 0.67000845 0.52939632 0.73937269 0.66483654]\n", "[1.31034016 0.66870351 0.52818413 0.73803905 0.66360713]\n", "[1.30779021 0.66740111 0.52697431 0.73670801 0.6623801 ]\n", "[1.30524524 0.66610123 0.52576687 0.73537954 0.66115544]\n", "[1.30270523 0.66480388 0.52456179 0.73405364 0.65993316]\n", "[1.30017017 0.66350905 0.52335908 0.73273031 0.65871325]\n", "[1.29764004 0.66221674 0.52215873 0.73140955 0.6574957 ]\n", "[1.29511485 0.66092694 0.52096074 0.73009135 0.65628051]\n", "[1.29259459 0.65963964 0.51976509 0.7287757 0.65506768]\n", "[1.29007923 0.65835485 0.51857179 0.7274626 0.6538572 ]\n", "[1.28756877 0.65707255 0.51738083 0.72615205 0.65264906]\n", "[1.28506321 0.65579274 0.51619221 0.72484403 0.65144326]\n", "[1.28256253 0.65451542 0.51500592 0.72353855 0.6502398 ]\n", "[1.28006673 0.65324058 0.51382195 0.7222356 0.64903867]\n", "[1.27757579 0.65196822 0.51264031 0.72093517 0.64783987]\n", "[1.27508971 0.65069833 0.51146099 0.71963726 0.6466434 ]\n", "[1.27260847 0.64943091 0.51028398 0.71834187 0.64544924]\n", "[1.27013206 0.64816595 0.50910928 0.71704899 0.64425739]\n", "[1.26766049 0.64690345 0.50793688 0.71575861 0.64306786]\n", "[1.26519373 0.6456434 0.50676679 0.71447073 0.64188063]\n", "[1.26273178 0.6443858 0.50559899 0.71318535 0.6406957 ]\n", "[1.26027462 0.64313064 0.50443348 0.71190246 0.63951306]\n", "[1.25782226 0.64187792 0.50327026 0.71062205 0.63833272]\n", "[1.25537467 0.64062763 0.50210932 0.70934413 0.63715466]\n", "[1.25293186 0.63937978 0.50095066 0.70806868 0.63597889]\n", "[1.25049381 0.63813434 0.49979427 0.7067957 0.6348054 ]\n", "[1.24806051 0.63689133 0.49864016 0.70552519 0.63363417]\n", "[1.24563195 0.63565074 0.4974883 0.70425714 0.63246522]\n", "[1.24320812 0.63441255 0.49633871 0.70299155 0.63129853]\n", "[1.24078902 0.63317677 0.49519137 0.7017284 0.63013411]\n", "[1.23837464 0.63194339 0.49404629 0.70046771 0.62897194]\n", "[1.23596496 0.6307124 0.49290345 0.69920946 0.62781202]\n", "[1.23355998 0.62948381 0.49176285 0.69795364 0.62665435]\n", "[1.23115968 0.62825761 0.49062449 0.69670026 0.62549892]\n", "[1.22876407 0.62703378 0.48948837 0.69544931 0.62434573]\n", "[1.22637312 0.62581234 0.48835448 0.69420078 0.62319477]\n", "[1.22398683 0.62459326 0.48722281 0.69295466 0.62204605]\n", "[1.22160519 0.62337656 0.48609336 0.69171097 0.62089955]\n", "[1.2192282 0.62216222 0.48496613 0.69046968 0.61975527]\n", "[1.21685584 0.62095024 0.48384111 0.6892308 0.61861321]\n", "[1.2144881 0.61974061 0.4827183 0.68799431 0.61747336]\n", "[1.21212498 0.61853333 0.48159769 0.68676022 0.61633571]\n", "[1.20976647 0.6173284 0.48047928 0.68552852 0.61520028]\n", "[1.20741255 0.61612581 0.47936307 0.68429921 0.61406704]\n", "[1.20506322 0.61492556 0.47824904 0.68307228 0.612936 ]\n", "[1.20271847 0.61372764 0.47713721 0.68184773 0.61180714]\n", "[1.20037829 0.61253204 0.47602756 0.68062555 0.61068048]\n", "[1.19804267 0.61133877 0.47492008 0.67940573 0.609556 ]\n", "[1.1957116 0.61014781 0.47381478 0.67818828 0.60843369]\n", "[1.19338508 0.60895917 0.47271165 0.67697319 0.60731356]\n", "[1.19106309 0.60777284 0.47161068 0.67576045 0.6061956 ]\n", "[1.18874562 0.60658881 0.47051187 0.67455006 0.60507981]\n", "[1.18643268 0.60540709 0.46941523 0.67334201 0.60396618]\n", "[1.18412424 0.60422766 0.46832073 0.6721363 0.6028547 ]\n", "[1.1818203 0.60305052 0.46722838 0.67093293 0.60174538]\n", "[1.17952086 0.60187566 0.46613818 0.66973189 0.60063821]\n", "[1.17722589 0.60070309 0.46505012 0.66853318 0.59953318]\n", "[1.1749354 0.5995328 0.46396419 0.66733679 0.59843029]\n", "[1.17264937 0.59836478 0.46288039 0.66614271 0.59732954]\n", "[1.1703678 0.59719903 0.46179873 0.66495095 0.59623092]\n", "[1.16809068 0.59603554 0.46071918 0.66376149 0.59513442]\n", "[1.165818 0.59487432 0.45964176 0.66257434 0.59404006]\n", "[1.16354974 0.59371535 0.45856645 0.66138949 0.59294781]\n", "[1.16128591 0.59255863 0.45749325 0.66020694 0.59185768]\n", "[1.15902649 0.59140416 0.45642216 0.65902667 0.59076965]\n", "[1.15677147 0.59025193 0.45535317 0.65784869 0.58968374]\n", "[1.15452085 0.58910194 0.45428628 0.65667299 0.58859993]\n", "[1.15227461 0.58795418 0.45322149 0.65549957 0.58751822]\n", "[1.15003276 0.58680865 0.45215878 0.65432842 0.5864386 ]\n", "[1.14779527 0.58566535 0.45109817 0.65315954 0.58536108]\n", "[1.14556215 0.58452427 0.45003963 0.65199292 0.58428564]\n", "[1.14333338 0.58338541 0.44898318 0.65082856 0.58321228]\n", "[1.14110895 0.58224876 0.44792879 0.64966646 0.58214101]\n", "[1.13888886 0.58111431 0.44687648 0.64850661 0.5810718 ]\n", "[1.1366731 0.57998207 0.44582624 0.647349 0.58000467]\n", "[1.13446165 0.57885203 0.44477806 0.64619363 0.57893961]\n", "[1.13225452 0.57772418 0.44373193 0.64504051 0.57787661]\n", "[1.13005169 0.57659853 0.44268786 0.64388961 0.57681566]\n", "[1.12785315 0.57547506 0.44164584 0.64274095 0.57575677]\n", "[1.1256589 0.57435377 0.44060587 0.64159451 0.57469994]\n", "[1.12346893 0.57323466 0.43956794 0.64045028 0.57364515]\n", "[1.12128322 0.57211773 0.43853204 0.63930828 0.5725924 ]\n", "[1.11910178 0.57100296 0.43749818 0.63816848 0.57154169]\n", "[1.11692458 0.56989036 0.43646636 0.6370309 0.57049301]\n", "[1.11475164 0.56877993 0.43543656 0.63589551 0.56944637]\n", "[1.11258292 0.56767164 0.43440878 0.63476233 0.56840175]\n", "[1.11041844 0.56656552 0.43338302 0.63363133 0.56735916]\n", "[1.10825817 0.56546154 0.43235927 0.63250253 0.56631858]\n", "[1.10610212 0.5643597 0.43133753 0.63137592 0.56528002]\n", "[1.10395027 0.56326 0.43031781 0.63025148 0.56424347]\n", "[1.10180261 0.56216244 0.42930008 0.62912922 0.56320893]\n", "[1.09965914 0.56106702 0.42828435 0.62800914 0.56217639]\n", "[1.09751985 0.55997372 0.42727062 0.62689122 0.56114585]\n", "[1.09538473 0.55888254 0.42625888 0.62577547 0.56011731]\n", "[1.09325377 0.55779348 0.42524913 0.62466188 0.55909076]\n", "[1.09112696 0.55670654 0.42424136 0.62355044 0.55806619]\n", "[1.0890043 0.55562171 0.42323557 0.62244116 0.55704361]\n", "[1.08688578 0.55453898 0.42223176 0.62133403 0.55602301]\n", "[1.08477139 0.55345836 0.42122991 0.62022903 0.55500439]\n", "[1.08266112 0.55237984 0.42023004 0.61912618 0.55398774]\n", "[1.08055496 0.55130342 0.41923213 0.61802546 0.55297305]\n", "[1.07845291 0.55022908 0.41823618 0.61692688 0.55196033]\n", "[1.07635496 0.54915683 0.41724219 0.61583042 0.55094957]\n", "[1.07426109 0.54808666 0.41625015 0.61473608 0.54994077]\n", "[1.07217131 0.54701857 0.41526006 0.61364386 0.54893393]\n", "[1.0700856 0.54595256 0.41427191 0.61255376 0.54792903]\n", "[1.06800396 0.54488862 0.4132857 0.61146577 0.54692607]\n", "[1.06592638 0.54382674 0.41230144 0.61037988 0.54592506]\n", "[1.06385285 0.54276692 0.4113191 0.60929609 0.54492599]\n", "[1.06178335 0.54170917 0.4103387 0.60821441 0.54392885]\n", "[1.0597179 0.54065347 0.40936022 0.60713481 0.54293364]\n", "[1.05765647 0.53959981 0.40838367 0.60605731 0.54194036]\n", "[1.05559906 0.53854821 0.40740903 0.60498189 0.540949 ]\n", "[1.05354565 0.53749865 0.40643631 0.60390856 0.53995956]\n", "[1.05149626 0.53645112 0.4054655 0.6028373 0.53897204]\n", "[1.04945085 0.53540563 0.4044966 0.60176812 0.53798643]\n", "[1.04740944 0.53436217 0.4035296 0.600701 0.53700273]\n", "[1.045372 0.53332074 0.40256451 0.59963596 0.53602093]\n", "[1.04333854 0.53228133 0.4016013 0.59857297 0.53504103]\n", "[1.04130904 0.53124394 0.40064 0.59751204 0.53406303]\n", "[1.0392835 0.53020856 0.39968058 0.59645316 0.53308692]\n", "[1.0372619 0.5291752 0.39872304 0.59539634 0.5321127 ]\n", "[1.03524425 0.52814384 0.39776739 0.59434156 0.53114036]\n", "[1.03323053 0.52711448 0.39681362 0.59328882 0.53016991]\n", "[1.03122074 0.52608712 0.39586172 0.59223812 0.52920134]\n", "[1.02921486 0.52506176 0.39491169 0.59118945 0.52823464]\n", "[1.02721289 0.52403839 0.39396352 0.59014281 0.52726982]\n", "[1.02521483 0.52301701 0.39301723 0.5890982 0.52630686]\n", "[1.02322066 0.52199761 0.39207279 0.58805561 0.52534577]\n", "[1.02123038 0.52098019 0.39113021 0.58701504 0.52438653]\n", "[1.01924399 0.51996475 0.39018948 0.58597648 0.52342915]\n", "[1.01726146 0.51895127 0.38925059 0.58493993 0.52247363]\n", "[1.0152828 0.51793977 0.38831356 0.58390539 0.52151995]\n", "[1.01330799 0.51693023 0.38737837 0.58287285 0.52056813]\n", "[1.01133704 0.51592265 0.38644501 0.58184231 0.51961814]\n", "[1.00936993 0.51491703 0.38551349 0.58081376 0.51866999]\n", "[1.00740665 0.51391336 0.3845838 0.57978721 0.51772368]\n", "[1.0054472 0.51291164 0.38365594 0.57876264 0.5167792 ]\n", "[1.00349157 0.51191187 0.3827299 0.57774005 0.51583654]\n", "[1.00153975 0.51091403 0.38180568 0.57671944 0.51489572]\n", "[0.99959174 0.50991814 0.38088328 0.57570081 0.51395671]\n", "[0.99764753 0.50892418 0.37996269 0.57468415 0.51301952]\n", "[0.99570711 0.50793215 0.37904392 0.57366945 0.51208414]\n", "[0.99377047 0.50694204 0.37812694 0.57265672 0.51115058]\n", "[0.9918376 0.50595386 0.37721178 0.57164595 0.51021882]\n", "[0.98990851 0.5049676 0.37629841 0.57063714 0.50928886]\n", "[0.98798317 0.50398325 0.37538683 0.56963028 0.5083607 ]\n", "[0.98606159 0.50300081 0.37447705 0.56862536 0.50743434]\n", "[0.98414375 0.50202028 0.37356906 0.56762239 0.50650978]\n", "[0.98222966 0.50104166 0.37266285 0.56662136 0.505587 ]\n", "[0.98031929 0.50006494 0.37175842 0.56562227 0.50466601]\n", "[0.97841265 0.49909011 0.37085577 0.56462511 0.5037468 ]\n", "[0.97650973 0.49811717 0.3699549 0.56362988 0.50282937]\n", "[0.97461052 0.49714613 0.3690558 0.56263658 0.50191371]\n", "[0.97271501 0.49617697 0.36815847 0.5616452 0.50099983]\n", "[0.9708232 0.49520969 0.3672629 0.56065574 0.50008771]\n", "[0.96893507 0.49424429 0.36636909 0.55966819 0.49917736]\n", "[0.96705063 0.49328077 0.36547704 0.55868255 0.49826877]\n", "[0.96516986 0.49231911 0.36458674 0.55769882 0.49736194]\n", "[0.96329275 0.49135933 0.3636982 0.55671699 0.49645687]\n", "[0.96141931 0.4904014 0.3628114 0.55573707 0.49555354]\n", "[0.95954952 0.48944534 0.36192634 0.55475904 0.49465197]\n", "[0.95768337 0.48849113 0.36104303 0.5537829 0.49375214]\n", "[0.95582086 0.48753878 0.36016145 0.55280865 0.49285404]\n", "[0.95396199 0.48658828 0.35928161 0.55183628 0.49195769]\n", "[0.95210674 0.48563962 0.3584035 0.5508658 0.49106307]\n", "[0.9502551 0.4846928 0.35752711 0.54989719 0.49017019]\n", "[0.94840708 0.48374782 0.35665245 0.54893046 0.48927903]\n", "[0.94656266 0.48280468 0.35577951 0.54796559 0.48838959]\n", "[0.94472183 0.48186337 0.35490828 0.5470026 0.48750188]\n", "[0.9428846 0.48092388 0.35403877 0.54604146 0.48661588]\n", "[0.94105094 0.47998622 0.35317097 0.54508219 0.4857316 ]\n", "[0.93922087 0.47905038 0.35230488 0.54412477 0.48484902]\n", "[0.93739436 0.47811636 0.35144049 0.54316921 0.48396816]\n", "[0.93557141 0.47718415 0.3505778 0.54221549 0.483089 ]\n", "[0.93375201 0.47625375 0.34971681 0.54126362 0.48221154]\n", "[0.93193616 0.47532516 0.34885751 0.54031359 0.48133578]\n", "[0.93012386 0.47439837 0.3479999 0.53936539 0.48046171]\n", "[0.92831508 0.47347338 0.34714398 0.53841903 0.47958933]\n", "[0.92650984 0.47255019 0.34628974 0.53747451 0.47871865]\n", "[0.92470811 0.47162879 0.34543718 0.53653181 0.47784964]\n", "[0.9229099 0.47070917 0.3445863 0.53559093 0.47698232]\n", "[0.92111519 0.46979135 0.34373709 0.53465187 0.47611667]\n", "[0.91932398 0.4688753 0.34288956 0.53371463 0.4752527 ]\n", "[0.91753627 0.46796103 0.34204369 0.5327792 0.4743904 ]\n", "[0.91575204 0.46704854 0.34119949 0.53184558 0.47352977]\n", "[0.91397129 0.46613782 0.34035694 0.53091377 0.4726708 ]\n", "[0.91219401 0.46522887 0.33951606 0.52998376 0.4718135 ]\n", "[0.91042019 0.46432169 0.33867683 0.52905555 0.47095785]\n", "[0.90864984 0.46341626 0.33783925 0.52812913 0.47010386]\n", "[0.90688294 0.46251259 0.33700332 0.5272045 0.46925152]\n", "[0.90511948 0.46161068 0.33616903 0.52628167 0.46840083]\n", "[0.90335946 0.46071052 0.33533639 0.52536062 0.46755179]\n", "[0.90160287 0.4598121 0.33450538 0.52444135 0.46670438]\n", "[0.89984971 0.45891543 0.33367601 0.52352385 0.46585862]\n", "[0.89809996 0.4580205 0.33284827 0.52260814 0.46501449]\n", "[0.89635363 0.45712731 0.33202216 0.52169419 0.464172 ]\n", "[0.89461071 0.45623585 0.33119767 0.52078201 0.46333113]\n", "[0.89287118 0.45534613 0.33037481 0.5198716 0.46249189]\n", "[0.89113504 0.45445813 0.32955357 0.51896294 0.46165428]\n", "[0.88940229 0.45357185 0.32873394 0.51805604 0.46081828]\n", "[0.88767292 0.45268729 0.32791593 0.5171509 0.4599839 ]\n", "[0.88594692 0.45180446 0.32709953 0.51624751 0.45915114]\n", "[0.88422428 0.45092333 0.32628473 0.51534586 0.45831998]\n", "[0.88250501 0.45004392 0.32547154 0.51444596 0.45749044]\n", "[0.88078908 0.44916621 0.32465995 0.5135478 0.45666249]\n", "[0.8790765 0.44829021 0.32384995 0.51265137 0.45583615]\n", "[0.87736727 0.44741591 0.32304155 0.51175668 0.45501141]\n", "[0.87566136 0.4465433 0.32223474 0.51086372 0.45418826]\n", "[0.87395878 0.44567239 0.32142952 0.50997248 0.45336671]\n", "[0.87225952 0.44480317 0.32062588 0.50908297 0.45254674]\n", "[0.87056358 0.44393564 0.31982383 0.50819518 0.45172836]\n", "[0.86887094 0.44306979 0.31902336 0.50730911 0.45091156]\n", "[0.8671816 0.44220563 0.31822446 0.50642474 0.45009634]\n", "[0.86549556 0.44134314 0.31742713 0.50554209 0.44928269]\n", "[0.8638128 0.44048232 0.31663137 0.50466115 0.44847062]\n", "[0.86213333 0.43962318 0.31583718 0.50378191 0.44766013]\n", "[0.86045713 0.4387657 0.31504455 0.50290436 0.44685119]\n", "[0.8587842 0.43790989 0.31425349 0.50202852 0.44604383]\n", "[0.85711453 0.43705574 0.31346398 0.50115437 0.44523802]\n", "[0.85544812 0.43620324 0.31267602 0.50028191 0.44443377]\n", "[0.85378495 0.43535241 0.31188962 0.49941113 0.44363108]\n", "[0.85212503 0.43450322 0.31110477 0.49854204 0.44282994]\n", "[0.85046835 0.43365568 0.31032146 0.49767463 0.44203034]\n", "[0.8488149 0.43280979 0.30953969 0.4968089 0.4412323 ]\n", "[0.84716467 0.43196554 0.30875946 0.49594484 0.4404358 ]\n", "[0.84551766 0.43112293 0.30798077 0.49508245 0.43964083]\n", "[0.84387386 0.43028195 0.30720361 0.49422173 0.43884741]\n", "[0.84223327 0.42944261 0.30642798 0.49336267 0.43805551]\n", "[0.84059587 0.42860489 0.30565388 0.49250527 0.43726515]\n", "[0.83896167 0.4277688 0.30488131 0.49164953 0.43647632]\n", "[0.83733066 0.42693434 0.30411025 0.49079545 0.43568901]\n", "[0.83570282 0.42610149 0.30334072 0.48994301 0.43490323]\n", "[0.83407817 0.42527026 0.3025727 0.48909222 0.43411896]\n", "[0.83245667 0.42444065 0.30180619 0.48824308 0.43333621]\n", "[0.83083835 0.42361264 0.30104119 0.48739558 0.43255498]\n", "[0.82922317 0.42278624 0.3002777 0.48654972 0.43177525]\n", "[0.82761115 0.42196145 0.29951571 0.48570549 0.43099703]\n", "[0.82600227 0.42113826 0.29875522 0.4848629 0.43022032]\n", "[0.82439653 0.42031666 0.29799623 0.48402193 0.42944511]\n", "[0.82279392 0.41949666 0.29723874 0.48318259 0.42867139]\n", "[0.82119443 0.41867825 0.29648273 0.48234487 0.42789917]\n", "[0.81959807 0.41786143 0.29572822 0.48150877 0.42712845]\n", "[0.81800481 0.4170462 0.29497519 0.48067429 0.42635921]\n", "[0.81641467 0.41623254 0.29422365 0.47984142 0.42559146]\n", "[0.81482762 0.41542047 0.29347359 0.47901016 0.4248252 ]\n", "[0.81324367 0.41460997 0.292725 0.4781805 0.42406042]\n", "[0.81166281 0.41380105 0.29197789 0.47735245 0.42329711]\n", "[0.81008504 0.4129937 0.29123225 0.476526 0.42253528]\n", "[0.80851033 0.41218791 0.29048808 0.47570115 0.42177492]\n", "[0.8069387 0.41138369 0.28974538 0.47487789 0.42101604]\n", "[0.80537014 0.41058102 0.28900414 0.47405622 0.42025862]\n", "[0.80380463 0.40977992 0.28826436 0.47323614 0.41950266]\n", "[0.80224218 0.40898037 0.28752603 0.47241765 0.41874817]\n", "[0.80068277 0.40818237 0.28678916 0.47160074 0.41799513]\n", "[0.79912641 0.40738592 0.28605375 0.4707854 0.41724355]\n", "[0.79757308 0.40659102 0.28531978 0.46997164 0.41649342]\n", "[0.79602278 0.40579766 0.28458726 0.46915946 0.41574474]\n", "[0.7944755 0.40500584 0.28385618 0.46834884 0.41499751]\n", "[0.79293125 0.40421555 0.28312654 0.46753979 0.41425172]\n", "[0.79139 0.4034268 0.28239834 0.4667323 0.41350737]\n", "[0.78985176 0.40263959 0.28167158 0.46592638 0.41276447]\n", "[0.78831651 0.40185389 0.28094625 0.46512201 0.41202299]\n", "[0.78678427 0.40106973 0.28022234 0.4643192 0.41128296]\n", "[0.78525501 0.40028708 0.27949987 0.46351793 0.41054435]\n", "[0.78372873 0.39950596 0.27877882 0.46271822 0.40980716]\n", "[0.78220543 0.39872635 0.27805918 0.46192005 0.40907141]\n", "[0.7806851 0.39794825 0.27734097 0.46112342 0.40833707]\n", "[0.77916774 0.39717166 0.27662417 0.46032833 0.40760416]\n", "[0.77765333 0.39639658 0.27590879 0.45953478 0.40687266]\n", "[0.77614188 0.39562301 0.27519481 0.45874276 0.40614257]\n", "[0.77463338 0.39485093 0.27448225 0.45795228 0.4054139 ]\n", "[0.77312782 0.39408036 0.27377108 0.45716331 0.40468663]\n", "[0.77162519 0.39331128 0.27306132 0.45637588 0.40396077]\n", "[0.7701255 0.39254369 0.27235296 0.45558996 0.40323631]\n", "[0.76862873 0.39177759 0.27164599 0.45480557 0.40251325]\n", "[0.76713488 0.39101298 0.27094042 0.45402269 0.40179159]\n", "[0.76564394 0.39024985 0.27023624 0.45324132 0.40107132]\n", "[0.76415591 0.3894882 0.26953344 0.45246146 0.40035244]\n", "[0.76267079 0.38872803 0.26883204 0.45168311 0.39963496]\n", "[0.76118856 0.38796934 0.26813201 0.45090626 0.39891886]\n", "[0.75970922 0.38721212 0.26743337 0.45013091 0.39820414]\n", "[0.75823276 0.38645637 0.2667361 0.44935706 0.3974908 ]\n", "[0.75675919 0.38570208 0.26604021 0.4485847 0.39677885]\n", "[0.75528849 0.38494926 0.26534569 0.44781384 0.39606826]\n", "[0.75382066 0.3841979 0.26465253 0.44704447 0.39535905]\n", "[0.75235569 0.38344799 0.26396075 0.44627658 0.39465121]\n", "[0.75089358 0.38269955 0.26327033 0.44551017 0.39394474]\n", "[0.74943432 0.38195255 0.26258127 0.44474525 0.39323964]\n", "[0.7479779 0.381207 0.26189357 0.4439818 0.39253589]\n", "[0.74652433 0.38046291 0.26120722 0.44321983 0.39183351]\n", "[0.74507359 0.37972025 0.26052223 0.44245933 0.39113248]\n", "[0.74362568 0.37897904 0.25983859 0.4417003 0.3904328 ]\n", "[0.7421806 0.37823926 0.2591563 0.44094274 0.38973448]\n", "[0.74073833 0.37750092 0.25847535 0.44018664 0.38903751]\n", "[0.73929888 0.37676401 0.25779575 0.43943199 0.38834188]\n", "[0.73786224 0.37602853 0.25711748 0.43867881 0.3876476 ]\n", "[0.73642839 0.37529448 0.25644056 0.43792708 0.38695466]\n", "[0.73499735 0.37456185 0.25576497 0.43717681 0.38626305]\n", "[0.73356909 0.37383065 0.25509071 0.43642798 0.38557279]\n", "[0.73214362 0.37310086 0.25441778 0.4356806 0.38488385]\n", "[0.73072094 0.37237249 0.25374618 0.43493466 0.38419625]\n", "[0.72930102 0.37164554 0.2530759 0.43419016 0.38350997]\n", "[0.72788388 0.37091999 0.25240695 0.4334471 0.38282502]\n", "[0.7264695 0.37019585 0.25173931 0.43270548 0.3821414 ]\n", "[0.72505788 0.36947312 0.251073 0.43196528 0.38145909]\n", "[0.72364901 0.36875179 0.25040799 0.43122652 0.3807781 ]\n", "[0.72224289 0.36803185 0.2497443 0.43048918 0.38009843]\n", "[0.72083951 0.36731332 0.24908192 0.42975327 0.37942007]\n", "[0.71943887 0.36659618 0.24842084 0.42901878 0.37874302]\n", "[0.71804096 0.36588043 0.24776107 0.42828571 0.37806728]\n", "[0.71664578 0.36516607 0.2471026 0.42755405 0.37739284]\n", "[0.71525332 0.36445309 0.24644543 0.42682381 0.37671971]\n", "[0.71386358 0.3637415 0.24578956 0.42609497 0.37604787]\n", "[0.71247655 0.36303129 0.24513498 0.42536754 0.37537733]\n", "[0.71109222 0.36232246 0.24448169 0.42464152 0.37470809]\n", "[0.7097106 0.361615 0.24382969 0.4239169 0.37404014]\n", "[0.70833166 0.36090891 0.24317898 0.42319368 0.37337348]\n", "[0.70695542 0.3602042 0.24252955 0.42247185 0.37270811]\n", "[0.70558186 0.35950085 0.2418814 0.42175142 0.37204402]\n", "[0.70421099 0.35879887 0.24123453 0.42103238 0.37138121]\n", "[0.70284278 0.35809825 0.24058894 0.42031473 0.37071969]\n", "[0.70147725 0.35739898 0.23994462 0.41959846 0.37005944]\n", "[0.70011438 0.35670108 0.23930157 0.41888358 0.36940047]\n", "[0.69875416 0.35600453 0.2386598 0.41817008 0.36874277]\n", "[0.6973966 0.35530933 0.23801929 0.41745795 0.36808634]\n", "[0.69604169 0.35461548 0.23738004 0.4167472 0.36743117]\n", "[0.69468942 0.35392297 0.23674206 0.41603782 0.36677727]\n", "[0.69333979 0.35323181 0.23610533 0.41532981 0.36612464]\n", "[0.6919928 0.35254199 0.23546986 0.41462317 0.36547326]\n", "[0.69064842 0.3518535 0.23483565 0.41391789 0.36482315]\n", "[0.68930668 0.35116636 0.23420268 0.41321398 0.36417428]\n", "[0.68796755 0.35048054 0.23357097 0.41251142 0.36352667]\n", "[0.68663103 0.34979606 0.2329405 0.41181022 0.36288031]\n", "[0.68529712 0.3491129 0.23231128 0.41111037 0.3622352 ]\n", "[0.68396581 0.34843107 0.2316833 0.41041187 0.36159134]\n", "[0.6826371 0.34775056 0.23105656 0.40971472 0.36094871]\n", "[0.68131098 0.34707137 0.23043106 0.40901892 0.36030733]\n", "[0.67998744 0.3463935 0.22980679 0.40832446 0.35966719]\n", "[0.67866649 0.34571695 0.22918376 0.40763134 0.35902828]\n", "[0.67734812 0.34504171 0.22856195 0.40693956 0.3583906 ]\n", "[0.67603232 0.34436777 0.22794137 0.40624911 0.35775416]\n", "[0.67471908 0.34369515 0.22732202 0.40556 0.35711894]\n", "[0.67340841 0.34302383 0.22670389 0.40487221 0.35648495]\n", "[0.67210029 0.34235381 0.22608698 0.40418576 0.35585219]\n", "[0.67079473 0.34168509 0.22547129 0.40350063 0.35522064]\n", "[0.66949171 0.34101767 0.22485682 0.40281682 0.35459032]\n", "[0.66819123 0.34035154 0.22424355 0.40213433 0.35396121]\n", "[0.66689329 0.3396867 0.2236315 0.40145315 0.35333332]\n", "[0.66559789 0.33902316 0.22302066 0.4007733 0.35270664]\n", "[0.66430501 0.3383609 0.22241103 0.40009475 0.35208116]\n", "[0.66301465 0.33769993 0.22180259 0.39941752 0.3514569 ]\n", "[0.66172681 0.33704023 0.22119536 0.39874159 0.35083384]\n", "[0.66044148 0.33638182 0.22058933 0.39806696 0.35021198]\n", "[0.65915866 0.33572469 0.2199845 0.39739364 0.34959132]\n", "[0.65787834 0.33506883 0.21938086 0.39672162 0.34897187]\n", "[0.65660052 0.33441424 0.21877841 0.39605089 0.3483536 ]\n", "[0.6553252 0.33376092 0.21817716 0.39538146 0.34773653]\n", "[0.65405236 0.33310887 0.21757709 0.39471332 0.34712065]\n", "[0.652782 0.33245808 0.2169782 0.39404646 0.34650596]\n", "[0.65151412 0.33180856 0.2163805 0.3933809 0.34589246]\n", "[0.65024872 0.33116029 0.21578398 0.39271662 0.34528014]\n", "[0.64898579 0.33051328 0.21518864 0.39205362 0.344669 ]\n", "[0.64772531 0.32986753 0.21459447 0.3913919 0.34405904]\n", "[0.6464673 0.32922303 0.21400148 0.39073146 0.34345025]\n", "[0.64521174 0.32857978 0.21340966 0.39007229 0.34284265]\n", "[0.64395864 0.32793778 0.21281901 0.38941439 0.34223621]\n", "[0.64270797 0.32729702 0.21222952 0.38875777 0.34163095]\n", "[0.64145975 0.32665751 0.2116412 0.38810241 0.34102685]\n", "[0.64021396 0.32601923 0.21105405 0.38744831 0.34042392]\n", "[0.6389706 0.3253822 0.21046805 0.38679548 0.33982215]\n", "[0.63772967 0.3247464 0.20988321 0.3861439 0.33922154]\n", "[0.63649116 0.32411183 0.20929953 0.38549358 0.33862209]\n", "[0.63525507 0.32347849 0.208717 0.38484452 0.3380238 ]\n", "[0.63402138 0.32284638 0.20813562 0.38419671 0.33742667]\n", "[0.63279011 0.3222155 0.20755539 0.38355015 0.33683068]\n", "[0.63156123 0.32158584 0.20697631 0.38290484 0.33623585]\n", "[0.63033476 0.32095741 0.20639837 0.38226077 0.33564216]\n", "[0.62911067 0.32033019 0.20582157 0.38161794 0.33504962]\n", "[0.62788898 0.31970418 0.20524591 0.38097635 0.33445822]\n", "[0.62666967 0.31907939 0.20467139 0.380336 0.33386796]\n", "[0.62545274 0.31845582 0.20409801 0.37969689 0.33327884]\n", "[0.62423818 0.31783345 0.20352576 0.37905901 0.33269086]\n", "[0.62302599 0.31721229 0.20295464 0.37842236 0.33210401]\n", "[0.62181617 0.31659233 0.20238465 0.37778694 0.33151829]\n", "[0.6206087 0.31597358 0.20181579 0.37715274 0.33093371]\n", "[0.6194036 0.31535603 0.20124805 0.37651976 0.33035025]\n", "[0.61820084 0.31473967 0.20068143 0.37588801 0.32976792]\n", "[0.61700043 0.31412451 0.20011594 0.37525748 0.32918671]\n", "[0.61580237 0.31351054 0.19955156 0.37462816 0.32860662]\n", "[0.61460664 0.31289776 0.1989883 0.37400005 0.32802765]\n", "[0.61341324 0.31228617 0.19842615 0.37337316 0.3274498 ]\n", "[0.61222217 0.31167577 0.19786511 0.37274748 0.32687306]\n", "[0.61103343 0.31106655 0.19730518 0.372123 0.32629743]\n", "[0.60984701 0.31045851 0.19674636 0.37149972 0.32572292]\n", "[0.6086629 0.30985165 0.19618864 0.37087765 0.32514951]\n", "[0.6074811 0.30924597 0.19563203 0.37025678 0.32457721]\n", "[0.60630161 0.30864146 0.19507652 0.36963711 0.32400601]\n", "[0.60512441 0.30803813 0.1945221 0.36901863 0.32343592]\n", "[0.60394952 0.30743596 0.19396878 0.36840134 0.32286692]\n", "[0.60277692 0.30683496 0.19341656 0.36778524 0.32229902]\n", "[0.6016066 0.30623513 0.19286543 0.36717033 0.32173222]\n", "[0.60043857 0.30563646 0.19231539 0.36655661 0.32116651]\n", "[0.59927282 0.30503895 0.19176643 0.36594407 0.32060189]\n", "[0.59810935 0.3044426 0.19121856 0.36533271 0.32003836]\n", "[0.59694814 0.30384741 0.19067178 0.36472253 0.31947591]\n", "[0.5957892 0.30325337 0.19012608 0.36411353 0.31891455]\n", "[0.59463252 0.30266048 0.18958145 0.3635057 0.31835428]\n", "[0.5934781 0.30206874 0.18903791 0.36289904 0.31779508]\n", "[0.59232593 0.30147815 0.18849543 0.36229355 0.31723696]\n", "[0.59117601 0.3008887 0.18795404 0.36168923 0.31667992]\n", "[0.59002833 0.3003004 0.18741371 0.36108608 0.31612395]\n", "[0.58888289 0.29971324 0.18687445 0.36048409 0.31556906]\n", "[0.58773969 0.29912721 0.18633626 0.35988325 0.31501523]\n", "[0.58659872 0.29854233 0.18579913 0.35928358 0.31446247]\n", "[0.58545997 0.29795857 0.18526307 0.35868506 0.31391078]\n", "[0.58432345 0.29737595 0.18472806 0.3580877 0.31336015]\n", "[0.58318914 0.29679446 0.18419412 0.35749149 0.31281059]\n", "[0.58205705 0.29621409 0.18366123 0.35689642 0.31226208]\n", "[0.58092717 0.29563485 0.1831294 0.35630251 0.31171463]\n", "[0.57979949 0.29505674 0.18259862 0.35570974 0.31116824]\n", "[0.57867401 0.29447974 0.18206888 0.35511811 0.3106229 ]\n", "[0.57755073 0.29390386 0.1815402 0.35452762 0.31007861]\n", "[0.57642964 0.2933291 0.18101256 0.35393827 0.30953537]\n", "[0.57531074 0.29275546 0.18048597 0.35335006 0.30899317]\n", "[0.57419402 0.29218292 0.17996042 0.35276298 0.30845203]\n", "[0.57307948 0.2916115 0.17943591 0.35217703 0.30791192]\n", "[0.57196712 0.29104118 0.17891244 0.35159221 0.30737286]\n", "[0.57085692 0.29047197 0.17839 0.35100852 0.30683483]\n", "[0.5697489 0.28990386 0.1778686 0.35042595 0.30629785]\n", "[0.56864303 0.28933686 0.17734823 0.34984451 0.3057619 ]\n", "[0.56753933 0.28877095 0.17682889 0.34926418 0.30522698]\n", "[0.56643777 0.28820614 0.17631058 0.34868498 0.30469309]\n", "[0.56533837 0.28764242 0.17579329 0.34810689 0.30416023]\n", "[0.56424111 0.2870798 0.17527703 0.34752991 0.3036284 ]\n", "[0.563146 0.28651827 0.17476179 0.34695405 0.30309759]\n", "[0.56205302 0.28595783 0.17424757 0.34637929 0.30256781]\n", "[0.56096217 0.28539847 0.17373436 0.34580565 0.30203905]\n", "[0.55987345 0.2848402 0.17322218 0.34523311 0.3015113 ]\n", "[0.55878686 0.28428301 0.17271101 0.34466167 0.30098458]\n", "[0.55770239 0.2837269 0.17220085 0.34409133 0.30045887]\n", "[0.55662003 0.28317187 0.1716917 0.3435221 0.29993417]\n", "[0.55553979 0.28261791 0.17118355 0.34295396 0.29941048]\n", "[0.55446165 0.28206503 0.17067642 0.34238691 0.29888781]\n", "[0.55338562 0.28151322 0.17017029 0.34182096 0.29836614]\n", "[0.55231169 0.28096248 0.16966516 0.34125609 0.29784547]\n", "[0.55123986 0.28041281 0.16916103 0.34069232 0.29732581]\n", "[0.55017011 0.2798642 0.1686579 0.34012963 0.29680715]\n", "[0.54910246 0.27931666 0.16815577 0.33956803 0.29628949]\n", "[0.54803688 0.27877017 0.16765463 0.33900751 0.29577283]\n", "[0.54697339 0.27822475 0.16715448 0.33844806 0.29525716]\n", "[0.54591197 0.27768038 0.16665532 0.3378897 0.29474249]\n", "[0.54485263 0.27713707 0.16615716 0.33733241 0.2942288 ]\n", "[0.54379535 0.27659481 0.16565997 0.33677619 0.29371611]\n", "[0.54274014 0.27605361 0.16516378 0.33622105 0.29320441]\n", "[0.54168698 0.27551345 0.16466857 0.33566698 0.29269369]\n", "[0.54063588 0.27497434 0.16417433 0.33511397 0.29218395]\n", "[0.53958683 0.27443627 0.16368108 0.33456203 0.2916752 ]\n", "[0.53853983 0.27389925 0.1631888 0.33401115 0.29116743]\n", "[0.53749487 0.27336327 0.1626975 0.33346133 0.29066063]\n", "[0.53645196 0.27282832 0.16220718 0.33291257 0.29015482]\n", "[0.53541107 0.27229442 0.16171782 0.33236487 0.28964997]\n", "[0.53437222 0.27176154 0.16122943 0.33181822 0.2891461 ]\n", "[0.5333354 0.27122971 0.16074201 0.33127263 0.2886432 ]\n", "[0.5323006 0.2706989 0.16025556 0.33072809 0.28814127]\n", "[0.53126782 0.27016912 0.15977007 0.33018459 0.28764031]\n", "[0.53023706 0.26964036 0.15928555 0.32964215 0.28714031]\n", "[0.5292083 0.26911264 0.15880198 0.32910074 0.28664127]\n", "[0.52818156 0.26858593 0.15831937 0.32856038 0.2861432 ]\n", "[0.52715682 0.26806025 0.15783772 0.32802106 0.28564608]\n", "[0.52613408 0.26753558 0.15735702 0.32748278 0.28514992]\n", "[0.52511333 0.26701193 0.15687728 0.32694554 0.28465472]\n", "[0.52409458 0.2664893 0.15639848 0.32640933 0.28416047]\n", "[0.52307782 0.26596768 0.15592064 0.32587415 0.28366718]\n", "[0.52206304 0.26544707 0.15544374 0.32534 0.28317483]\n", "[0.52105024 0.26492747 0.15496779 0.32480689 0.28268343]\n", "[0.52003942 0.26440887 0.15449278 0.3242748 0.28219298]\n", "[0.51903057 0.26389128 0.15401871 0.32374373 0.28170347]\n", "[0.51802369 0.26337469 0.15354558 0.32321368 0.28121491]\n", "[0.51701878 0.26285911 0.15307339 0.32268466 0.28072728]\n", "[0.51601583 0.26234452 0.15260214 0.32215666 0.2802406 ]\n", "[0.51501483 0.26183093 0.15213182 0.32162967 0.27975485]\n", "[0.51401579 0.26131834 0.15166243 0.32110369 0.27927004]\n", "[0.5130187 0.26080674 0.15119398 0.32057873 0.27878616]\n", "[0.51202355 0.26029613 0.15072645 0.32005478 0.27830322]\n", "[0.51103035 0.25978651 0.15025985 0.31953184 0.2778212 ]\n", "[0.51003909 0.25927788 0.14979418 0.3190099 0.27734011]\n", "[0.50904976 0.25877023 0.14932942 0.31848897 0.27685995]\n", "[0.50806236 0.25826357 0.14886559 0.31796905 0.27638071]\n", "[0.50707689 0.25775789 0.14840268 0.31745012 0.2759024 ]\n", "[0.50609335 0.25725319 0.14794069 0.31693219 0.275425 ]\n", "[0.50511172 0.25674947 0.14747962 0.31641526 0.27494853]\n", "[0.50413201 0.25624672 0.14701945 0.31589933 0.27447297]\n", "[0.50315421 0.25574495 0.14656021 0.31538438 0.27399833]\n", "[0.50217832 0.25524414 0.14610187 0.31487043 0.2735246 ]\n", "[0.50120434 0.25474431 0.14564444 0.31435747 0.27305179]\n", "[0.50023226 0.25424545 0.14518792 0.3138455 0.27257988]\n", "[0.49926207 0.25374756 0.1447323 0.31333451 0.27210889]\n", "[0.49829378 0.25325063 0.14427759 0.3128245 0.2716388 ]\n", "[0.49732738 0.25275466 0.14382378 0.31231548 0.27116961]\n", "[0.49636286 0.25225965 0.14337087 0.31180743 0.27070133]\n", "[0.49540023 0.25176561 0.14291886 0.31130037 0.27023395]\n", "[0.49443948 0.25127251 0.14246774 0.31079428 0.26976747]\n", "[0.4934806 0.25078038 0.14201752 0.31028916 0.26930188]\n", "[0.49252359 0.2502892 0.1415682 0.30978501 0.2688372 ]\n", "[0.49156846 0.24979897 0.14111976 0.30928184 0.2683734 ]\n", "[0.49061518 0.24930969 0.14067222 0.30877963 0.26791051]\n", "[0.48966377 0.24882136 0.14022556 0.30827839 0.2674485 ]\n", "[0.48871422 0.24833397 0.13977979 0.30777812 0.26698738]\n", "[0.48776652 0.24784753 0.13933491 0.30727881 0.26652715]\n", "[0.48682067 0.24736203 0.1388909 0.30678045 0.2660678 ]\n", "[0.48587666 0.24687747 0.13844778 0.30628306 0.26560934]\n", "[0.4849345 0.24639385 0.13800554 0.30578663 0.26515176]\n", "[0.48399418 0.24591117 0.13756418 0.30529115 0.26469506]\n", "[0.48305569 0.24542942 0.13712369 0.30479662 0.26423924]\n", "[0.48211904 0.24494861 0.13668407 0.30430304 0.2637843 ]\n", "[0.48118421 0.24446872 0.13624533 0.30381042 0.26333023]\n", "[0.48025121 0.24398977 0.13580746 0.30331874 0.26287703]\n", "[0.47932003 0.24351174 0.13537046 0.302828 0.26242471]\n", "[0.47839067 0.24303464 0.13493433 0.30233822 0.26197326]\n", "[0.47746312 0.24255847 0.13449906 0.30184937 0.26152268]\n", "[0.47653739 0.24208322 0.13406466 0.30136146 0.26107296]\n", "[0.47561346 0.24160888 0.13363112 0.3008745 0.26062411]\n", "[0.47469133 0.24113547 0.13319843 0.30038847 0.26017613]\n", "[0.47377101 0.24066297 0.13276661 0.29990337 0.259729 ]\n", "[0.47285248 0.24019139 0.13233565 0.29941921 0.25928274]\n", "[0.47193575 0.23972072 0.13190554 0.29893598 0.25883733]\n", "[0.4710208 0.23925097 0.13147629 0.29845368 0.25839278]\n", "[0.47010764 0.23878212 0.13104789 0.2979723 0.25794909]\n", "[0.46919627 0.23831419 0.13062034 0.29749186 0.25750625]\n", "[0.46828667 0.23784715 0.13019363 0.29701233 0.25706426]\n", "[0.46737885 0.23738103 0.12976778 0.29653373 0.25662312]\n", "[0.4664728 0.2369158 0.12934277 0.29605605 0.25618284]\n", "[0.46556852 0.23645148 0.12891861 0.29557929 0.25574339]\n", "[0.46466601 0.23598806 0.12849529 0.29510344 0.2553048 ]\n", "[0.46376526 0.23552553 0.1280728 0.29462851 0.25486704]\n", "[0.46286627 0.2350639 0.12765116 0.2941545 0.25443013]\n", "[0.46196903 0.23460317 0.12723036 0.29368139 0.25399406]\n", "[0.46107354 0.23414332 0.12681039 0.29320919 0.25355883]\n", "[0.4601798 0.23368437 0.12639126 0.29273791 0.25312444]\n", "[0.45928781 0.23322631 0.12597296 0.29226753 0.25269088]\n", "[0.45839756 0.23276913 0.12555549 0.29179805 0.25225815]\n", "[0.45750905 0.23231284 0.12513885 0.29132948 0.25182626]\n", "[0.45662227 0.23185743 0.12472303 0.2908618 0.2513952 ]\n", "[0.45573723 0.23140291 0.12430805 0.29039503 0.25096496]\n", "[0.45485391 0.23094926 0.12389388 0.28992915 0.25053556]\n", "[0.45397231 0.2304965 0.12348055 0.28946417 0.25010698]\n", "[0.45309244 0.23004461 0.12306803 0.28900009 0.24967922]\n", "[0.45221429 0.22959359 0.12265633 0.28853689 0.24925229]\n", "[0.45133785 0.22914345 0.12224545 0.28807459 0.24882618]\n", "[0.45046312 0.22869419 0.12183539 0.28761317 0.24840088]\n", "[0.4495901 0.22824579 0.12142614 0.28715265 0.24797641]\n", "[0.44871878 0.22779826 0.12101771 0.286693 0.24755275]\n", "[0.44784917 0.22735159 0.12061008 0.28623424 0.24712991]\n", "[0.44698125 0.22690579 0.12020327 0.28577637 0.24670788]\n", "[0.44611503 0.22646086 0.11979727 0.28531937 0.24628666]\n", "[0.4452505 0.22601678 0.11939207 0.28486325 0.24586625]\n", "[0.44438766 0.22557357 0.11898768 0.28440801 0.24544665]\n", "[0.4435265 0.22513122 0.1185841 0.28395365 0.24502785]\n", "[0.44266703 0.22468972 0.11818131 0.28350015 0.24460986]\n", "[0.44180923 0.22424907 0.11777933 0.28304753 0.24419268]\n", "[0.44095311 0.22380928 0.11737814 0.28259578 0.24377629]\n", "[0.44009866 0.22337034 0.11697776 0.2821449 0.24336071]\n", "[0.43924588 0.22293226 0.11657817 0.28169488 0.24294592]\n", "[0.43839476 0.22249501 0.11617937 0.28124573 0.24253194]\n", "[0.4375453 0.22205862 0.11578137 0.28079744 0.24211875]\n", "[0.43669751 0.22162307 0.11538416 0.28035001 0.24170635]\n", "[0.43585137 0.22118837 0.11498773 0.27990345 0.24129475]\n", "[0.43500688 0.2207545 0.1145921 0.27945774 0.24088393]\n", "[0.43416404 0.22032148 0.11419726 0.27901288 0.24047391]\n", "[0.43332285 0.21988929 0.1138032 0.27856889 0.24006467]\n", "[0.4324833 0.21945795 0.11340992 0.27812574 0.23965623]\n", "[0.43164539 0.21902743 0.11301742 0.27768345 0.23924856]\n", "[0.43080911 0.21859775 0.11262571 0.27724201 0.23884168]\n", "[0.42997447 0.21816891 0.11223478 0.27680141 0.23843558]\n", "[0.42914146 0.21774089 0.11184462 0.27636166 0.23803027]\n", "[0.42831007 0.2173137 0.11145524 0.27592276 0.23762573]\n", "[0.42748031 0.21688734 0.11106663 0.2754847 0.23722197]\n", "[0.42665217 0.2164618 0.1106788 0.27504748 0.23681898]\n", "[0.42582565 0.21603709 0.11029174 0.2746111 0.23641677]\n", "[0.42500074 0.2156132 0.10990545 0.27417556 0.23601533]\n", "[0.42417744 0.21519013 0.10951993 0.27374086 0.23561467]\n", "[0.42335575 0.21476788 0.10913517 0.27330699 0.23521477]\n", "[0.42253566 0.21434645 0.10875118 0.27287396 0.23481564]\n", "[0.42171718 0.21392583 0.10836796 0.27244175 0.23441728]\n", "[0.42090029 0.21350603 0.1079855 0.27201038 0.23401969]\n", "[0.420085 0.21308704 0.10760379 0.27157984 0.23362285]\n", "[0.4192713 0.21266887 0.10722285 0.27115012 0.23322678]\n", "[0.4184592 0.2122515 0.10684267 0.27072123 0.23283148]\n", "[0.41764867 0.21183494 0.10646324 0.27029316 0.23243693]\n", "[0.41683973 0.21141918 0.10608457 0.26986592 0.23204314]\n", "[0.41603237 0.21100423 0.10570666 0.26943949 0.2316501 ]\n", "[0.41522659 0.21059009 0.10532949 0.26901389 0.23125782]\n", "[0.41442238 0.21017674 0.10495308 0.2685891 0.2308663 ]\n", "[0.41361974 0.2097642 0.10457741 0.26816512 0.23047552]\n", "[0.41281867 0.20935245 0.1042025 0.26774197 0.2300855 ]\n", "[0.41201916 0.2089415 0.10382833 0.26731962 0.22969623]\n", "[0.41122122 0.20853135 0.1034549 0.26689808 0.2293077 ]\n", "[0.41042483 0.20812199 0.10308222 0.26647736 0.22891992]\n", "[0.40963 0.20771343 0.10271028 0.26605744 0.22853289]\n", "[0.40883672 0.20730565 0.10233908 0.26563833 0.2281466 ]\n", "[0.40804499 0.20689866 0.10196862 0.26522003 0.22776105]\n", "[0.4072548 0.20649247 0.1015989 0.26480252 0.22737624]\n", "[0.40646616 0.20608705 0.10122992 0.26438582 0.22699217]\n", "[0.40567907 0.20568243 0.10086167 0.26396992 0.22660884]\n", "[0.4048935 0.20527858 0.10049415 0.26355482 0.22622624]\n", "[0.40410947 0.20487552 0.10012737 0.26314051 0.22584438]\n", "[0.40332698 0.20447324 0.09976131 0.262727 0.22546325]\n", "[0.40254601 0.20407173 0.09939599 0.26231428 0.22508285]\n", "[0.40176657 0.20367101 0.09903139 0.26190236 0.22470319]\n", "[0.40098865 0.20327106 0.09866752 0.26149123 0.22432425]\n", "[0.40021225 0.20287188 0.09830438 0.26108088 0.22394604]\n", "[0.39943736 0.20247348 0.09794196 0.26067133 0.22356856]\n", "[0.39866399 0.20207584 0.09758026 0.26026256 0.2231918 ]\n", "[0.39789213 0.20167898 0.09721928 0.25985457 0.22281577]\n", "[0.39712178 0.20128288 0.09685902 0.25944737 0.22244046]\n", "[0.39635293 0.20088755 0.09649948 0.25904095 0.22206587]\n", "[0.39558558 0.20049299 0.09614065 0.25863531 0.22169199]\n", "[0.39481974 0.20009919 0.09578254 0.25823045 0.22131884]\n", "[0.39405538 0.19970615 0.09542514 0.25782636 0.2209464 ]\n", "[0.39329253 0.19931388 0.09506846 0.25742305 0.22057468]\n", "[0.39253116 0.19892236 0.09471249 0.25702052 0.22020367]\n", "[0.39177128 0.1985316 0.09435722 0.25661875 0.21983337]\n", "[0.39101288 0.19814159 0.09400267 0.25621776 0.21946378]\n", "[0.39025597 0.19775234 0.09364882 0.25581754 0.21909491]\n", "[0.38950053 0.19736385 0.09329568 0.25541808 0.21872674]\n", "[0.38874657 0.1969761 0.09294324 0.2550194 0.21835927]\n", "[0.38799408 0.19658911 0.0925915 0.25462147 0.21799252]\n", "[0.38724306 0.19620287 0.09224047 0.25422432 0.21762646]\n", "[0.38649351 0.19581737 0.09189013 0.25382792 0.21726111]\n", "[0.38574543 0.19543262 0.0915405 0.25343228 0.21689646]\n", "[0.3849988 0.19504861 0.09119156 0.2530374 0.21653251]\n", "[0.38425363 0.19466535 0.09084332 0.25264329 0.21616926]\n", "[0.38350992 0.19428282 0.09049577 0.25224992 0.21580671]\n", "[0.38276766 0.19390104 0.09014891 0.25185731 0.21544485]\n", "[0.38202686 0.19352 0.08980275 0.25146546 0.21508369]\n", "[0.38128749 0.19313969 0.08945728 0.25107435 0.21472322]\n", "[0.38054958 0.19276012 0.08911249 0.250684 0.21436344]\n", "[0.3798131 0.19238129 0.0887684 0.2502944 0.21400435]\n", "[0.37907807 0.19200318 0.08842499 0.24990554 0.21364595]\n", "[0.37834447 0.19162581 0.08808226 0.24951743 0.21328824]\n", "[0.3776123 0.19124917 0.08774022 0.24913006 0.21293121]\n", "[0.37688156 0.19087326 0.08739886 0.24874344 0.21257487]\n", "[0.37615225 0.19049808 0.08705818 0.24835755 0.21221922]\n", "[0.37542437 0.19012362 0.08671819 0.24797241 0.21186424]\n", "[0.37469791 0.18974988 0.08637887 0.24758801 0.21150995]\n", "[0.37397286 0.18937687 0.08604022 0.24720434 0.21115634]\n", "[0.37324924 0.18900458 0.08570226 0.24682141 0.2108034 ]\n", "[0.37252702 0.18863301 0.08536497 0.24643922 0.21045114]\n", "[0.37180622 0.18826216 0.08502835 0.24605775 0.21009956]\n", "[0.37108683 0.18789203 0.0846924 0.24567702 0.20974865]\n", "[0.37036884 0.18752261 0.08435712 0.24529702 0.20939842]\n", "[0.36965225 0.18715391 0.08402252 0.24491775 0.20904886]\n", "[0.36893707 0.18678592 0.08368858 0.2445392 0.20869996]\n", "[0.36822328 0.18641864 0.0833553 0.24416138 0.20835174]\n", "[0.36751089 0.18605208 0.0830227 0.24378429 0.20800419]\n", "[0.36679989 0.18568622 0.08269075 0.24340792 0.2076573 ]\n", "[0.36609027 0.18532107 0.08235947 0.24303227 0.20731107]\n", "[0.36538205 0.18495663 0.08202885 0.24265734 0.20696551]\n", "[0.3646752 0.18459289 0.0816989 0.24228313 0.20662062]\n", "[0.36396974 0.18422986 0.0813696 0.24190963 0.20627638]\n", "[0.36326566 0.18386752 0.08104095 0.24153686 0.20593281]\n", "[0.36256295 0.18350589 0.08071297 0.24116479 0.20558989]\n", "[0.36186162 0.18314496 0.08038564 0.24079344 0.20524763]\n", "[0.36116166 0.18278473 0.08005896 0.24042281 0.20490603]\n", "[0.36046306 0.18242519 0.07973293 0.24005288 0.20456508]\n", "[0.35976583 0.18206635 0.07940756 0.23968366 0.20422479]\n", "[0.35906996 0.1817082 0.07908283 0.23931515 0.20388515]\n", "[0.35837545 0.18135075 0.07875876 0.23894735 0.20354616]\n", "[0.3576823 0.18099399 0.07843533 0.23858025 0.20320782]\n", "[0.3569905 0.18063791 0.07811255 0.23821385 0.20287013]\n", "[0.35630005 0.18028253 0.07779041 0.23784816 0.20253309]\n", "[0.35561096 0.17992783 0.07746892 0.23748317 0.20219669]\n", "[0.35492321 0.17957382 0.07714807 0.23711887 0.20186094]\n", "[0.3542368 0.1792205 0.07682786 0.23675528 0.20152583]\n", "[0.35355173 0.17886786 0.07650829 0.23639238 0.20119136]\n", "[0.35286801 0.1785159 0.07618936 0.23603018 0.20085754]\n", "[0.35218562 0.17816462 0.07587106 0.23566867 0.20052435]\n", "[0.35150456 0.17781402 0.07555341 0.23530785 0.2001918 ]\n", "[0.35082483 0.17746409 0.07523638 0.23494773 0.19985989]\n", "[0.35014644 0.17711485 0.07491999 0.2345883 0.19952862]\n", "[0.34946936 0.17676628 0.07460424 0.23422955 0.19919798]\n", "[0.34879361 0.17641838 0.07428911 0.23387149 0.19886798]\n", "[0.34811919 0.17607116 0.07397461 0.23351412 0.19853861]\n", "[0.34744607 0.17572461 0.07366075 0.23315743 0.19820987]\n", "[0.34677428 0.17537873 0.07334751 0.23280143 0.19788176]\n", "[0.3461038 0.17503352 0.07303489 0.23244611 0.19755427]\n", "[0.34543462 0.17468897 0.07272291 0.23209147 0.19722742]\n", "[0.34476676 0.17434509 0.07241154 0.2317375 0.19690119]\n", "[0.3441002 0.17400188 0.0721008 0.23138422 0.19657559]\n", "[0.34343494 0.17365933 0.07179068 0.23103161 0.19625061]\n", "[0.34277099 0.17331744 0.07148118 0.23067968 0.19592625]\n", "[0.34210833 0.17297622 0.0711723 0.23032842 0.19560252]\n", "[0.34144696 0.17263565 0.07086403 0.22997784 0.1952794 ]\n", "[0.34078689 0.17229574 0.07055639 0.22962793 0.19495691]\n", "[0.34012811 0.17195649 0.07024935 0.22927868 0.19463503]\n", "[0.33947061 0.1716179 0.06994294 0.22893011 0.19431377]\n", "[0.3388144 0.17127996 0.06963713 0.2285822 0.19399313]\n", "[0.33815948 0.17094267 0.06933194 0.22823496 0.19367309]\n", "[0.33750583 0.17060604 0.06902736 0.22788839 0.19335368]\n", "[0.33685346 0.17027005 0.06872338 0.22754248 0.19303487]\n", "[0.33620237 0.16993472 0.06842002 0.22719723 0.19271667]\n", "[0.33555254 0.16960003 0.06811726 0.22685264 0.19239909]\n", "[0.33490399 0.169266 0.06781511 0.22650871 0.19208211]\n", "[0.33425671 0.1689326 0.06751356 0.22616544 0.19176574]\n", "[0.33361069 0.16859986 0.06721262 0.22582283 0.19144998]\n", "[0.33296593 0.16826775 0.06691228 0.22548087 0.19113482]\n", "[0.33232243 0.16793629 0.06661254 0.22513957 0.19082026]\n", "[0.33168019 0.16760547 0.0663134 0.22479892 0.19050631]\n", "[0.33103921 0.16727529 0.06601485 0.22445893 0.19019296]\n", "[0.33039948 0.16694574 0.06571691 0.22411958 0.1898802 ]\n", "[0.329761 0.16661684 0.06541956 0.22378089 0.18956805]\n", "[0.32912377 0.16628857 0.06512281 0.22344284 0.18925649]\n", "[0.32848778 0.16596093 0.06482665 0.22310544 0.18894553]\n", "[0.32785304 0.16563393 0.06453109 0.22276868 0.18863517]\n", "[0.32721953 0.16530756 0.06423611 0.22243258 0.1883254 ]\n", "[0.32658727 0.16498182 0.06394173 0.22209711 0.18801623]\n", "[0.32595624 0.16465671 0.06364794 0.22176229 0.18770764]\n", "[0.32532644 0.16433223 0.06335473 0.2214281 0.18739965]\n", "[0.32469788 0.16400838 0.06306211 0.22109456 0.18709225]\n", "[0.32407054 0.16368515 0.06277008 0.22076165 0.18678543]\n", "[0.32344443 0.16336255 0.06247863 0.22042939 0.1864792 ]\n", "[0.32281954 0.16304057 0.06218777 0.22009775 0.18617356]\n", "[0.32219588 0.16271921 0.06189749 0.21976676 0.1858685 ]\n", "[0.32157343 0.16239847 0.06160779 0.21943639 0.18556403]\n", "[0.3209522 0.16207836 0.06131867 0.21910666 0.18526014]\n", "[0.32033219 0.16175886 0.06103013 0.21877756 0.18495683]\n", "[0.31971339 0.16143998 0.06074217 0.21844909 0.18465411]\n", "[0.31909579 0.16112172 0.06045479 0.21812124 0.18435196]\n", "[0.31847941 0.16080407 0.06016798 0.21779403 0.18405039]\n", "[0.31786422 0.16048704 0.05988175 0.21746744 0.1837494 ]\n", "[0.31725025 0.16017062 0.05959609 0.21714147 0.18344898]\n", "[0.31663747 0.15985481 0.059311 0.21681613 0.18314914]\n", "[0.31602589 0.15953961 0.05902648 0.21649141 0.18284987]\n", "[0.3154155 0.15922502 0.05874253 0.21616732 0.18255118]\n", "[0.31480631 0.15891104 0.05845916 0.21584384 0.18225305]\n", "[0.31419831 0.15859766 0.05817635 0.21552098 0.1819555 ]\n", "[0.3135915 0.15828489 0.05789411 0.21519874 0.18165852]\n", "[0.31298587 0.15797273 0.05761243 0.21487711 0.1813621 ]\n", "[0.31238143 0.15766117 0.05733132 0.2145561 0.18106625]\n", "[0.31177817 0.15735021 0.05705077 0.21423571 0.18077097]\n", "[0.31117609 0.15703985 0.05677079 0.21391593 0.18047625]\n", "[0.31057518 0.15673009 0.05649136 0.21359675 0.1801821 ]\n", "[0.30997545 0.15642093 0.0562125 0.21327819 0.17988851]\n", "[0.3093769 0.15611237 0.05593419 0.21296024 0.17959548]\n", "[0.30877951 0.1558044 0.05565645 0.2126429 0.17930301]\n", "[0.30818329 0.15549703 0.05537926 0.21232616 0.17901111]\n", "[0.30758824 0.15519025 0.05510262 0.21201003 0.17871976]\n", "[0.30699435 0.15488407 0.05482654 0.2116945 0.17842896]\n", "[0.30640162 0.15457847 0.05455102 0.21137958 0.17813873]\n", "[0.30581005 0.15427347 0.05427605 0.21106526 0.17784904]\n", "[0.30521964 0.15396906 0.05400163 0.21075154 0.17755992]\n", "[0.30463038 0.15366523 0.05372776 0.21043842 0.17727134]\n", "[0.30404227 0.153362 0.05345444 0.2101259 0.17698332]\n", "[0.30345531 0.15305935 0.05318167 0.20981397 0.17669585]\n", "[0.3028695 0.15275728 0.05290944 0.20950265 0.17640893]\n", "[0.30228484 0.1524558 0.05263776 0.20919191 0.17612255]\n", "[0.30170132 0.15215489 0.05236663 0.20888177 0.17583673]\n", "[0.30111894 0.15185458 0.05209604 0.20857223 0.17555145]\n", "[0.3005377 0.15155484 0.05182599 0.20826327 0.17526671]\n", "[0.29995759 0.15125568 0.05155649 0.20795491 0.17498252]\n", "[0.29937862 0.15095709 0.05128753 0.20764714 0.17469888]\n", "[0.29880078 0.15065909 0.0510191 0.20733995 0.17441577]\n", "[0.29822407 0.15036166 0.05075122 0.20703335 0.17413321]\n", "[0.29764849 0.15006481 0.05048387 0.20672734 0.17385119]\n", "[0.29707404 0.14976852 0.05021706 0.20642191 0.17356971]\n", "[0.2965007 0.14947282 0.04995079 0.20611707 0.17328876]\n", "[0.29592849 0.14917768 0.04968505 0.2058128 0.17300836]\n", "[0.2953574 0.14888311 0.04941985 0.20550912 0.17272848]\n", "[0.29478742 0.14858911 0.04915517 0.20520602 0.17244915]\n", "[0.29421856 0.14829568 0.04889103 0.2049035 0.17217034]\n", "[0.29365081 0.14800282 0.04862742 0.20460156 0.17189207]\n", "[0.29308417 0.14771052 0.04836434 0.20430019 0.17161434]\n", "[0.29251864 0.14741879 0.04810179 0.2039994 0.17133713]\n", "[0.29195422 0.14712762 0.04783976 0.20369919 0.17106045]\n", "[0.2913909 0.14683701 0.04757826 0.20339955 0.1707843 ]\n", "[0.29082868 0.14654697 0.04731729 0.20310048 0.17050868]\n", "[0.29026756 0.14625748 0.04705684 0.20280198 0.17023359]\n", "[0.28970753 0.14596855 0.04679691 0.20250405 0.16995902]\n", "[0.28914861 0.14568019 0.04653751 0.20220669 0.16968498]\n", "[0.28859077 0.14539237 0.04627863 0.2019099 0.16941146]\n", "[0.28803403 0.14510512 0.04602026 0.20161368 0.16913846]\n", "[0.28747837 0.14481842 0.04576242 0.20131802 0.16886598]\n", "[0.2869238 0.14453227 0.04550509 0.20102292 0.16859403]\n", "[0.28637032 0.14424668 0.04524829 0.20072839 0.16832259]\n", "[0.28581792 0.14396164 0.044992 0.20043443 0.16805168]\n", "[0.28526659 0.14367714 0.04473622 0.20014102 0.16778128]\n", "[0.28471635 0.1433932 0.04448096 0.19984817 0.16751139]\n", "[0.28416718 0.14310981 0.04422621 0.19955589 0.16724203]\n", "[0.28361909 0.14282696 0.04397197 0.19926416 0.16697317]\n", "[0.28307207 0.14254466 0.04371825 0.19897299 0.16670484]\n", "[0.28252612 0.1422629 0.04346503 0.19868237 0.16643701]\n", "[0.28198123 0.14198169 0.04321232 0.19839231 0.16616969]\n", "[0.28143741 0.14170103 0.04296013 0.1981028 0.16590289]\n", "[0.28089466 0.1414209 0.04270844 0.19781385 0.16563659]\n", "[0.28035297 0.14114131 0.04245725 0.19752545 0.16537081]\n", "[0.27981233 0.14086227 0.04220657 0.1972376 0.16510553]\n", "[0.27927276 0.14058376 0.0419564 0.19695029 0.16484076]\n", "[0.27873424 0.14030579 0.04170672 0.19666354 0.16457649]\n", "[0.27819677 0.14002836 0.04145756 0.19637733 0.16431273]\n", "[0.27766035 0.13975147 0.04120889 0.19609167 0.16404947]\n", "[0.27712498 0.13947511 0.04096072 0.19580656 0.16378672]\n", "[0.27659066 0.13919928 0.04071305 0.19552199 0.16352446]\n", "[0.27605739 0.13892398 0.04046588 0.19523796 0.16326271]\n", "[0.27552516 0.13864922 0.04021921 0.19495447 0.16300146]\n", "[0.27499396 0.13837499 0.03997303 0.19467153 0.1627407 ]\n", "[0.27446381 0.13810128 0.03972735 0.19438912 0.16248045]\n", "[0.2739347 0.13782811 0.03948216 0.19410726 0.16222069]\n", "[0.27340662 0.13755546 0.03923747 0.19382593 0.16196142]\n", "[0.27287957 0.13728334 0.03899327 0.19354514 0.16170265]\n", "[0.27235355 0.13701174 0.03874956 0.19326488 0.16144438]\n", "[0.27182856 0.13674067 0.03850634 0.19298516 0.1611866 ]\n", "[0.2713046 0.13647012 0.03826362 0.19270598 0.16092931]\n", "[0.27078167 0.1362001 0.03802138 0.19242732 0.16067251]\n", "[0.27025975 0.13593059 0.03777962 0.1921492 0.1604162 ]\n", "[0.26973886 0.13566161 0.03753836 0.19187161 0.16016038]\n", "[0.26921899 0.13539315 0.03729758 0.19159455 0.15990505]\n", "[0.26870013 0.1351252 0.03705729 0.19131801 0.1596502 ]\n", "[0.26818229 0.13485777 0.03681748 0.19104201 0.15939585]\n", "[0.26766546 0.13459086 0.03657815 0.19076653 0.15914197]\n", "[0.26714965 0.13432446 0.0363393 0.19049157 0.15888859]\n", "[0.26663484 0.13405858 0.03610094 0.19021714 0.15863568]\n", "[0.26612104 0.13379321 0.03586306 0.18994323 0.15838326]\n", "[0.26560824 0.13352835 0.03562565 0.18966985 0.15813132]\n", "[0.26509645 0.133264 0.03538873 0.18939699 0.15787986]\n", "[0.26458566 0.13300017 0.03515228 0.18912465 0.15762888]\n", "[0.26407586 0.13273684 0.03491631 0.18885282 0.15737838]\n", "[0.26356707 0.13247402 0.03468081 0.18858152 0.15712836]\n", "[0.26305927 0.13221171 0.03444579 0.18831073 0.15687881]\n", "[0.26255246 0.1319499 0.03421124 0.18804046 0.15662974]\n", "[0.26204665 0.1316886 0.03397716 0.1877707 0.15638115]\n", "[0.26154182 0.13142781 0.03374356 0.18750146 0.15613303]\n", "[0.26103799 0.13116751 0.03351043 0.18723273 0.15588538]\n", "[0.26053513 0.13090772 0.03327777 0.18696452 0.1556382 ]\n", "[0.26003327 0.13064844 0.03304557 0.18669681 0.1553915 ]\n", "[0.25953238 0.13038965 0.03281385 0.18642962 0.15514527]\n", "[0.25903247 0.13013136 0.03258259 0.18616293 0.1548995 ]\n", "[0.25853354 0.12987357 0.0323518 0.18589676 0.15465421]\n", "[0.25803559 0.12961628 0.03212147 0.18563109 0.15440938]\n", "[0.25753861 0.12935948 0.03189161 0.18536593 0.15416502]\n", "[0.25704261 0.12910318 0.03166221 0.18510127 0.15392112]\n", "[0.25654757 0.12884737 0.03143328 0.18483712 0.1536777 ]\n", "[0.25605351 0.12859206 0.0312048 0.18457347 0.15343473]\n", "[0.25556041 0.12833724 0.03097679 0.18431032 0.15319223]\n", "[0.25506827 0.12808292 0.03074924 0.18404767 0.15295019]\n", "[0.2545771 0.12782908 0.03052215 0.18378553 0.15270861]\n", "[0.25408689 0.12757573 0.03029551 0.18352388 0.15246749]\n", "[0.25359764 0.12732287 0.03006933 0.18326274 0.15222683]\n", "[0.25310934 0.1270705 0.02984361 0.18300209 0.15198663]\n", "[0.252622 0.12681862 0.02961835 0.18274193 0.15174689]\n", "[0.25213562 0.12656722 0.02939354 0.18248228 0.15150761]\n", "[0.25165018 0.12631631 0.02916918 0.18222312 0.15126878]\n", "[0.2511657 0.12606588 0.02894527 0.18196445 0.15103041]\n", "[0.25068216 0.12581594 0.02872182 0.18170627 0.15079249]\n", "[0.25019957 0.12556647 0.02849882 0.18144859 0.15055502]\n", "[0.24971793 0.12531749 0.02827627 0.18119139 0.15031801]\n", "[0.24923722 0.12506899 0.02805417 0.18093469 0.15008145]\n", "[0.24875746 0.12482097 0.02783251 0.18067848 0.14984534]\n", "[0.24827864 0.12457343 0.02761131 0.18042275 0.14960968]\n", "[0.24780075 0.12432636 0.02739055 0.18016751 0.14937447]\n", "[0.2473238 0.12407977 0.02717024 0.17991276 0.1491397 ]\n", "[0.24684778 0.12383366 0.02695037 0.17965849 0.14890539]\n", "[0.2463727 0.12358802 0.02673095 0.17940471 0.14867152]\n", "[0.24589854 0.12334286 0.02651197 0.1791514 0.14843809]\n", "[0.24542531 0.12309816 0.02629343 0.17889859 0.14820511]\n", "[0.24495301 0.12285394 0.02607533 0.17864625 0.14797258]\n", "[0.24448163 0.1226102 0.02585768 0.17839439 0.14774048]\n", "[0.24401117 0.12236692 0.02564046 0.17814302 0.14750883]\n", "[0.24354164 0.12212411 0.02542368 0.17789212 0.14727762]\n", "[0.24307302 0.12188177 0.02520734 0.1776417 0.14704685]\n", "[0.24260532 0.1216399 0.02499144 0.17739175 0.14681652]\n", "[0.24213854 0.12139849 0.02477598 0.17714229 0.14658663]\n", "[0.24167267 0.12115755 0.02456095 0.17689329 0.14635718]\n", "[0.24120771 0.12091707 0.02434635 0.17664477 0.14612817]\n", "[0.24074366 0.12067706 0.02413219 0.17639673 0.14589959]\n", "[0.24028052 0.12043751 0.02391846 0.17614915 0.14567144]\n", "[0.23981828 0.12019842 0.02370517 0.17590205 0.14544373]\n", "[0.23935695 0.1199598 0.0234923 0.17565542 0.14521645]\n", "[0.23889653 0.11972163 0.02327987 0.17540925 0.14498961]\n", "[0.238437 0.11948392 0.02306786 0.17516356 0.1447632 ]\n", "[0.23797838 0.11924668 0.02285629 0.17491833 0.14453722]\n", "[0.23752065 0.11900988 0.02264514 0.17467357 0.14431167]\n", "[0.23706382 0.11877355 0.02243442 0.17442928 0.14408654]\n", "[0.23660788 0.11853767 0.02222413 0.17418545 0.14386185]\n", "[0.23615283 0.11830225 0.02201426 0.17394208 0.14363759]\n", "[0.23569868 0.11806728 0.02180481 0.17369918 0.14341375]\n", "[0.23524541 0.11783276 0.02159579 0.17345674 0.14319034]\n", "[0.23479303 0.1175987 0.02138719 0.17321476 0.14296735]\n", "[0.23434154 0.11736509 0.02117902 0.17297324 0.14274479]\n", "[0.23389093 0.11713192 0.02097127 0.17273218 0.14252265]\n", "[0.2334412 0.11689921 0.02076393 0.17249158 0.14230093]\n", "[0.23299235 0.11666695 0.02055702 0.17225143 0.14207964]\n", "[0.23254438 0.11643513 0.02035052 0.17201175 0.14185876]\n", "[0.23209729 0.11620376 0.02014445 0.17177252 0.14163831]\n", "[0.23165108 0.11597284 0.01993879 0.17153374 0.14141828]\n", "[0.23120573 0.11574236 0.01973354 0.17129542 0.14119866]\n", "[0.23076126 0.11551233 0.01952872 0.17105755 0.14097947]\n", "[0.23031766 0.11528274 0.0193243 0.17082013 0.14076069]\n", "[0.22987493 0.11505359 0.0191203 0.17058317 0.14054232]\n", "[0.22943306 0.11482489 0.01891672 0.17034665 0.14032437]\n", "[0.22899206 0.11459662 0.01871355 0.17011059 0.14010684]\n", "[0.22855192 0.1143688 0.01851078 0.16987497 0.13988972]\n", "[0.22811264 0.11414141 0.01830843 0.1696398 0.13967301]\n", "[0.22767423 0.11391447 0.01810649 0.16940508 0.13945672]\n", "[0.22723667 0.11368796 0.01790496 0.16917081 0.13924083]\n", "[0.22679997 0.11346188 0.01770384 0.16893698 0.13902536]\n", "[0.22636412 0.11323625 0.01750312 0.16870359 0.1388103 ]\n", "[0.22592913 0.11301104 0.01730281 0.16847065 0.13859564]\n", "[0.22549499 0.11278628 0.01710291 0.16823815 0.1383814 ]\n", "[0.2250617 0.11256194 0.01690341 0.1680061 0.13816756]\n", "[0.22462925 0.11233804 0.01670432 0.16777448 0.13795413]\n", "[0.22419766 0.11211457 0.01650563 0.16754331 0.1377411 ]\n", "[0.2237669 0.11189153 0.01630734 0.16731257 0.13752848]\n", "[0.223337 0.11166892 0.01610945 0.16708227 0.13731627]\n", "[0.22290793 0.11144674 0.01591197 0.16685241 0.13710445]\n", "[0.2224797 0.11122499 0.01571489 0.16662299 0.13689304]\n", "[0.22205231 0.11100366 0.0155182 0.166394 0.13668203]\n", "[0.22162576 0.11078276 0.01532192 0.16616545 0.13647143]\n", "[0.22120005 0.11056229 0.01512603 0.16593733 0.13626122]\n", "[0.22077516 0.11034224 0.01493054 0.16570965 0.13605141]\n", "[0.22035111 0.11012262 0.01473545 0.1654824 0.135842 ]\n", "[0.21992789 0.10990342 0.01454075 0.16525558 0.13563299]\n", "[0.2195055 0.10968464 0.01434645 0.16502919 0.13542438]\n", "[0.21908394 0.10946628 0.01415254 0.16480323 0.13521616]\n", "[0.2186632 0.10924835 0.01395903 0.1645777 0.13500834]\n", "[0.21824328 0.10903083 0.01376591 0.16435259 0.13480091]\n", "[0.21782419 0.10881374 0.01357318 0.16412792 0.13459388]\n", "[0.21740592 0.10859706 0.01338084 0.16390367 0.13438724]\n", "[0.21698846 0.1083808 0.01318889 0.16367985 0.13418099]\n", "[0.21657183 0.10816495 0.01299733 0.16345645 0.13397514]\n", "[0.21615601 0.10794953 0.01280616 0.16323348 0.13376968]\n", "[0.215741 0.10773451 0.01261538 0.16301093 0.1335646 ]\n", "[0.21532681 0.10751991 0.01242499 0.1627888 0.13335992]\n", "[0.21491343 0.10730573 0.01223498 0.1625671 0.13315562]\n", "[0.21450086 0.10709196 0.01204536 0.16234582 0.13295172]\n", "[0.21408909 0.1068786 0.01185612 0.16212495 0.1327482 ]\n", "[0.21367813 0.10666565 0.01166727 0.16190451 0.13254507]\n", "[0.21326798 0.10645311 0.0114788 0.16168448 0.13234232]\n", "[0.21285863 0.10624098 0.01129072 0.16146487 0.13213996]\n", "[0.21245008 0.10602926 0.01110301 0.16124568 0.13193798]\n", "[0.21204233 0.10581794 0.01091569 0.16102691 0.13173638]\n", "[0.21163538 0.10560704 0.01072875 0.16080854 0.13153517]\n", "[0.21122923 0.10539654 0.01054219 0.1605906 0.13133434]\n", "[0.21082387 0.10518644 0.010356 0.16037307 0.1311339 ]\n", "[0.21041931 0.10497675 0.0101702 0.16015595 0.13093383]\n", "[0.21001554 0.10476747 0.00998477 0.15993924 0.13073414]\n", "[0.20961256 0.10455859 0.00979973 0.15972294 0.13053483]\n", "[0.20921037 0.10435011 0.00961505 0.15950706 0.1303359 ]\n", "[0.20880897 0.10414203 0.00943075 0.15929158 0.13013735]\n", "[0.20840835 0.10393435 0.00924683 0.15907651 0.12993918]\n", "[0.20800852 0.10372707 0.00906328 0.15886185 0.12974138]\n", "[0.20760947 0.1035202 0.00888011 0.1586476 0.12954395]\n", "[0.2072112 0.10331372 0.0086973 0.15843375 0.1293469 ]\n", "[0.20681371 0.10310763 0.00851487 0.15822031 0.12915023]\n", "[0.206417 0.10290195 0.00833281 0.15800728 0.12895393]\n", "[0.20602107 0.10269666 0.00815112 0.15779465 0.128758 ]\n", "[0.20562592 0.10249177 0.0079698 0.15758242 0.12856244]\n", "[0.20523153 0.10228727 0.00778885 0.15737059 0.12836725]\n", "[0.20483792 0.10208316 0.00760827 0.15715917 0.12817244]\n", "[0.20444509 0.10187945 0.00742805 0.15694815 0.12797799]\n", "[0.20405302 0.10167613 0.0072482 0.15673752 0.12778391]\n", "[0.20366172 0.1014732 0.00706872 0.1565273 0.1275902 ]\n", "[0.20327118 0.10127066 0.0068896 0.15631748 0.12739686]\n", "[0.20288141 0.10106852 0.00671085 0.15610805 0.12720389]\n", "[0.20249241 0.10086676 0.00653246 0.15589902 0.12701128]\n", "[0.20210416 0.10066539 0.00635443 0.15569039 0.12681903]\n", "[0.20171668 0.10046441 0.00617677 0.15548215 0.12662716]\n", "[0.20132995 0.10026381 0.00599947 0.1552743 0.12643564]\n", "[0.20094399 0.1000636 0.00582253 0.15506685 0.12624449]\n", "[0.20055878 0.09986378 0.00564595 0.1548598 0.1260537 ]\n", "[0.20017432 0.09966434 0.00546973 0.15465313 0.12586327]\n", "[0.19979062 0.09946529 0.00529387 0.15444686 0.12567321]\n", "[0.19940767 0.09926662 0.00511836 0.15424098 0.1254835 ]\n", "[0.19902547 0.09906833 0.00494322 0.15403549 0.12529415]\n", "[0.19864401 0.09887042 0.00476843 0.15383039 0.12510517]\n", "[0.19826331 0.09867289 0.004594 0.15362568 0.12491654]\n", "[0.19788335 0.09847575 0.00441992 0.15342135 0.12472827]\n", "[0.19750414 0.09827898 0.0042462 0.15321741 0.12454035]\n", "[0.19712566 0.0980826 0.00407283 0.15301386 0.12435279]\n", "[0.19674793 0.09788659 0.00389981 0.1528107 0.12416559]\n", "[0.19637095 0.09769095 0.00372715 0.15260791 0.12397874]\n", "[0.19599469 0.0974957 0.00355484 0.15240552 0.12379225]\n", "[0.19561918 0.09730082 0.00338288 0.1522035 0.12360611]\n", "[0.1952444 0.09710632 0.00321127 0.15200187 0.12342032]\n", "[0.19487036 0.09691219 0.00304001 0.15180062 0.12323489]\n", "[0.19449705 0.09671843 0.00286911 0.15159976 0.1230498 ]\n", "[0.19412447 0.09652505 0.00269854 0.15139927 0.12286507]\n", "[0.19375262 0.09633204 0.00252833 0.15119916 0.12268069]\n", "[0.1933815 0.0961394 0.00235847 0.15099943 0.12249665]\n", "[0.1930111 0.09594713 0.00218895 0.15080008 0.12231297]\n", "[0.19264144 0.09575523 0.00201978 0.15060111 0.12212963]\n", "[0.19227249 0.0955637 0.00185095 0.15040251 0.12194664]\n", "[0.19190427 0.09537254 0.00168246 0.15020429 0.121764 ]\n", "[0.19153677 0.09518175 0.00151432 0.15000645 0.1215817 ]\n", "[0.19117 0.09499132 0.00134653 0.14980898 0.12139975]\n", "[0.19080394 0.09480126 0.00117908 0.14961188 0.12121814]\n", "[0.19043859 0.09461157 0.00101196 0.14941516 0.12103688]\n", "[0.19007397 0.09442224 0.00084519 0.14921881 0.12085596]\n", "[0.18971005 0.09423328 0.00067876 0.14902283 0.12067538]\n", "[0.18934686 0.09404467 0.00051267 0.14882722 0.12049515]\n", "[0.18898437 0.09385644 0.00034692 0.14863198 0.12031525]\n", "[1.88622591e-01 9.36685622e-02 1.81508599e-04 1.48437110e-01\n", " 1.20135699e-01]\n", "[1.88261524e-01 9.34810485e-02 1.64338989e-05 1.48242610e-01\n", " 1.19956486e-01]\n", "[ 1.87901164e-01 9.32938956e-02 -1.48303601e-04 1.48048478e-01\n", " 1.19777612e-01]\n", "[ 0.18754151 0.0931071 -0.0003127 0.14785471 0.11959908]\n", "[ 0.18718256 0.09292067 -0.00047677 0.14766131 0.11942088]\n", "[ 0.18682432 0.09273459 -0.0006405 0.14746828 0.11924302]\n", "[ 0.18646677 0.09254888 -0.00080389 0.14727562 0.1190655 ]\n", "[ 0.18610993 0.09236352 -0.00096696 0.14708331 0.11888831]\n", "[ 0.18575379 0.09217852 -0.00112968 0.14689137 0.11871146]\n", "[ 0.18539834 0.09199387 -0.00129208 0.1466998 0.11853494]\n", "[ 0.18504359 0.09180958 -0.00145414 0.14650858 0.11835876]\n", "[ 0.18468954 0.09162564 -0.00161588 0.14631773 0.11818291]\n", "[ 0.18433618 0.09144206 -0.00177728 0.14612724 0.11800739]\n", "[ 0.18398351 0.09125883 -0.00193835 0.14593711 0.11783221]\n", "[ 0.18363154 0.09107595 -0.00209909 0.14574734 0.11765735]\n", "[ 0.18328025 0.09089342 -0.0022595 0.14555793 0.11748283]\n", "[ 0.18292966 0.09071125 -0.00241959 0.14536887 0.11730864]\n", "[ 0.18257975 0.09052943 -0.00257935 0.14518018 0.11713478]\n", "[ 0.18223052 0.09034795 -0.00273878 0.14499184 0.11696124]\n", "[ 0.18188199 0.09016683 -0.00289788 0.14480385 0.11678804]\n", "[ 0.18153413 0.08998605 -0.00305666 0.14461623 0.11661516]\n", "[ 0.18118696 0.08980562 -0.00321512 0.14442895 0.11644261]\n", "[ 0.18084046 0.08962554 -0.00337325 0.14424203 0.11627038]\n", "[ 0.18049465 0.0894458 -0.00353105 0.14405547 0.11609848]\n", "[ 0.18014951 0.08926641 -0.00368854 0.14386925 0.11592691]\n", "[ 0.17980505 0.08908736 -0.0038457 0.14368339 0.11575566]\n", "[ 0.17946127 0.08890866 -0.00400254 0.14349788 0.11558474]\n", "[ 0.17911816 0.08873031 -0.00415905 0.14331272 0.11541413]\n", "[ 0.17877572 0.08855229 -0.00431525 0.14312791 0.11524386]\n", "[ 0.17843395 0.08837462 -0.00447113 0.14294345 0.1150739 ]\n", "[ 0.17809286 0.08819729 -0.00462669 0.14275934 0.11490426]\n", "[ 0.17775243 0.0880203 -0.00478193 0.14257557 0.11473495]\n", "[ 0.17741267 0.08784365 -0.00493685 0.14239216 0.11456595]\n", "[ 0.17707358 0.08766734 -0.00509145 0.14220908 0.11439728]\n", "[ 0.17673515 0.08749137 -0.00524574 0.14202636 0.11422892]\n", "[ 0.17639738 0.08731574 -0.00539971 0.14184398 0.11406088]\n", "[ 0.17606028 0.08714045 -0.00555337 0.14166195 0.11389316]\n", "[ 0.17572383 0.08696549 -0.00570671 0.14148025 0.11372575]\n", "[ 0.17538805 0.08679087 -0.00585974 0.14129891 0.11355867]\n", "[ 0.17505293 0.08661658 -0.00601245 0.1411179 0.11339189]\n", "[ 0.17471846 0.08644263 -0.00616485 0.14093724 0.11322544]\n", "[ 0.17438465 0.08626902 -0.00631694 0.14075691 0.1130593 ]\n", "[ 0.17405149 0.08609574 -0.00646872 0.14057693 0.11289347]\n", "[ 0.17371899 0.08592279 -0.00662018 0.14039729 0.11272795]\n", "[ 0.17338714 0.08575017 -0.00677133 0.14021799 0.11256275]\n", "[ 0.17305593 0.08557789 -0.00692218 0.14003902 0.11239786]\n", "[ 0.17272538 0.08540593 -0.00707271 0.13986039 0.11223328]\n", "[ 0.17239548 0.08523431 -0.00722294 0.1396821 0.11206901]\n", "[ 0.17206622 0.08506302 -0.00737286 0.13950415 0.11190506]\n", "[ 0.17173761 0.08489206 -0.00752247 0.13932653 0.11174141]\n", "[ 0.17140965 0.08472142 -0.00767177 0.13914925 0.11157807]\n", "[ 0.17108232 0.08455111 -0.00782077 0.1389723 0.11141504]\n", "[ 0.17075564 0.08438113 -0.00796946 0.13879569 0.11125232]\n", "[ 0.1704296 0.08421148 -0.00811784 0.13861941 0.1110899 ]\n", "[ 0.1701042 0.08404216 -0.00826592 0.13844346 0.11092779]\n", "[ 0.16977944 0.08387315 -0.0084137 0.13826785 0.11076599]\n", "[ 0.16945531 0.08370448 -0.00856117 0.13809256 0.11060449]\n", "[ 0.16913182 0.08353613 -0.00870835 0.13791761 0.1104433 ]\n", "[ 0.16880896 0.0833681 -0.00885521 0.13774299 0.11028241]\n", "[ 0.16848674 0.08320039 -0.00900178 0.13756869 0.11012183]\n", "[ 0.16816515 0.08303301 -0.00914805 0.13739473 0.10996155]\n", "[ 0.16784419 0.08286595 -0.00929401 0.13722109 0.10980157]\n", "[ 0.16752386 0.0826992 -0.00943968 0.13704778 0.10964189]\n", "[ 0.16720416 0.08253278 -0.00958504 0.1368748 0.10948252]\n", "[ 0.16688508 0.08236668 -0.00973011 0.13670214 0.10932344]\n", "[ 0.16656663 0.0822009 -0.00987488 0.13652981 0.10916467]\n", "[ 0.16624881 0.08203544 -0.01001935 0.1363578 0.10900619]\n", "[ 0.1659316 0.08187029 -0.01016353 0.13618612 0.10884802]\n", "[ 0.16561503 0.08170547 -0.0103074 0.13601477 0.10869014]\n", "[ 0.16529907 0.08154096 -0.01045099 0.13584373 0.10853256]\n", "[ 0.16498373 0.08137676 -0.01059427 0.13567302 0.10837528]\n", "[ 0.16466901 0.08121288 -0.01073727 0.13550263 0.1082183 ]\n", "[ 0.16435491 0.08104932 -0.01087997 0.13533256 0.10806161]\n", "[ 0.16404142 0.08088607 -0.01102237 0.13516281 0.10790521]\n", "[ 0.16372855 0.08072313 -0.01116448 0.13499338 0.10774911]\n", "[ 0.16341629 0.08056051 -0.0113063 0.13482427 0.10759331]\n", "[ 0.16310464 0.08039819 -0.01144783 0.13465548 0.1074378 ]\n", "[ 0.16279361 0.08023619 -0.01158907 0.13448701 0.10728258]\n", "[ 0.16248319 0.08007451 -0.01173001 0.13431885 0.10712766]\n", "[ 0.16217337 0.07991313 -0.01187067 0.13415101 0.10697303]\n", "[ 0.16186416 0.07975206 -0.01201104 0.13398349 0.10681869]\n", "[ 0.16155556 0.0795913 -0.01215111 0.13381629 0.10666464]\n", "[ 0.16124757 0.07943085 -0.0122909 0.1336494 0.10651088]\n", "[ 0.16094018 0.07927071 -0.0124304 0.13348282 0.10635741]\n", "[ 0.16063339 0.07911088 -0.01256962 0.13331655 0.10620423]\n", "[ 0.1603272 0.07895135 -0.01270855 0.1331506 0.10605134]\n", "[ 0.16002162 0.07879213 -0.01284719 0.13298497 0.10589873]\n", "[ 0.15971663 0.07863321 -0.01298554 0.13281964 0.10574642]\n", "[ 0.15941225 0.0784746 -0.01312361 0.13265463 0.10559439]\n", "[ 0.15910846 0.0783163 -0.0132614 0.13248992 0.10544265]\n", "[ 0.15880526 0.0781583 -0.0133989 0.13232553 0.10529119]\n", "[ 0.15850266 0.0780006 -0.01353612 0.13216145 0.10514002]\n", "[ 0.15820066 0.07784321 -0.01367306 0.13199767 0.10498914]\n", "[ 0.15789925 0.07768611 -0.01380971 0.13183421 0.10483853]\n", "[ 0.15759842 0.07752932 -0.01394608 0.13167105 0.10468822]\n", "[ 0.15729819 0.07737283 -0.01408217 0.1315082 0.10453818]\n", "[ 0.15699855 0.07721664 -0.01421798 0.13134565 0.10438843]\n", "[ 0.1566995 0.07706075 -0.01435352 0.13118341 0.10423896]\n", "[ 0.15640103 0.07690516 -0.01448877 0.13102148 0.10408977]\n", "[ 0.15610315 0.07674987 -0.01462374 0.13085985 0.10394086]\n", "[ 0.15580585 0.07659488 -0.01475843 0.13069853 0.10379224]\n", "[ 0.15550914 0.07644018 -0.01489285 0.1305375 0.10364389]\n", "[ 0.15521301 0.07628578 -0.01502699 0.13037679 0.10349582]\n", "[ 0.15491746 0.07613168 -0.01516085 0.13021637 0.10334803]\n", "[ 0.15462249 0.07597788 -0.01529443 0.13005626 0.10320052]\n", "[ 0.1543281 0.07582436 -0.01542774 0.12989644 0.10305329]\n", "[ 0.15403428 0.07567115 -0.01556078 0.12973693 0.10290634]\n", "[ 0.15374105 0.07551823 -0.01569354 0.12957772 0.10275966]\n", "[ 0.15344839 0.0753656 -0.01582602 0.12941881 0.10261325]\n", "[ 0.1531563 0.07521326 -0.01595823 0.12926019 0.10246713]\n", "[ 0.15286479 0.07506122 -0.01609017 0.12910188 0.10232127]\n", "[ 0.15257384 0.07490947 -0.01622184 0.12894386 0.1021757 ]\n", "[ 0.15228347 0.074758 -0.01635323 0.12878614 0.10203039]\n", "[ 0.15199367 0.07460683 -0.01648436 0.12862872 0.10188536]\n", "[ 0.15170444 0.07445596 -0.01661521 0.12847159 0.1017406 ]\n", "[ 0.15141578 0.07430536 -0.01674579 0.12831476 0.10159612]\n", "[ 0.15112768 0.07415506 -0.0168761 0.12815822 0.10145191]\n", "[ 0.15084015 0.07400505 -0.01700615 0.12800198 0.10130796]\n", "[ 0.15055318 0.07385533 -0.01713592 0.12784603 0.10116429]\n", "[ 0.15026678 0.07370589 -0.01726543 0.12769037 0.10102089]\n", "[ 0.14998093 0.07355674 -0.01739467 0.12753501 0.10087776]\n", "[ 0.14969565 0.07340787 -0.01752364 0.12737994 0.1007349 ]\n", "[ 0.14941093 0.07325929 -0.01765234 0.12722516 0.10059231]\n", "[ 0.14912677 0.073111 -0.01778078 0.12707067 0.10044998]\n", "[ 0.14884317 0.07296299 -0.01790895 0.12691647 0.10030792]\n", "[ 0.14856012 0.07281527 -0.01803686 0.12676256 0.10016613]\n", "[ 0.14827763 0.07266782 -0.0181645 0.12660894 0.10002461]\n", "[ 0.14799569 0.07252067 -0.01829188 0.12645561 0.09988335]\n", "[ 0.1477143 0.07237379 -0.01841899 0.12630256 0.09974236]\n", "[ 0.14743347 0.07222719 -0.01854585 0.12614981 0.09960163]\n", "[ 0.14715319 0.07208088 -0.01867244 0.12599734 0.09946117]\n", "[ 0.14687346 0.07193485 -0.01879876 0.12584516 0.09932097]\n", "[ 0.14659428 0.07178909 -0.01892483 0.12569326 0.09918104]\n", "[ 0.14631565 0.07164362 -0.01905063 0.12554165 0.09904137]\n", "[ 0.14603756 0.07149843 -0.01917618 0.12539032 0.09890196]\n", "[ 0.14576002 0.07135351 -0.01930146 0.12523928 0.09876281]\n", "[ 0.14548303 0.07120887 -0.01942649 0.12508852 0.09862393]\n", "[ 0.14520658 0.07106451 -0.01955125 0.12493805 0.0984853 ]\n", "[ 0.14493067 0.07092043 -0.01967576 0.12478785 0.09834694]\n", "[ 0.1446553 0.07077662 -0.01980001 0.12463794 0.09820883]\n", "[ 0.14438048 0.07063309 -0.019924 0.12448831 0.09807099]\n", "[ 0.14410619 0.07048984 -0.02004774 0.12433896 0.0979334 ]\n", "[ 0.14383245 0.07034685 -0.02017122 0.12418989 0.09779607]\n", "[ 0.14355924 0.07020415 -0.02029444 0.1240411 0.09765901]\n", "[ 0.14328656 0.07006171 -0.02041741 0.12389259 0.09752219]\n", "[ 0.14301443 0.06991955 -0.02054012 0.12374436 0.09738564]\n", "[ 0.14274282 0.06977767 -0.02066257 0.12359641 0.09724934]\n", "[ 0.14247175 0.06963605 -0.02078478 0.12344873 0.0971133 ]\n", "[ 0.14220121 0.06949471 -0.02090673 0.12330134 0.09697751]\n", "[ 0.14193121 0.06935363 -0.02102843 0.12315421 0.09684198]\n", "[ 0.14166173 0.06921283 -0.02114987 0.12300737 0.0967067 ]\n", "[ 0.14139278 0.0690723 -0.02127106 0.1228608 0.09657168]\n", "[ 0.14112436 0.06893204 -0.02139201 0.1227145 0.09643691]\n", "[ 0.14085647 0.06879204 -0.0215127 0.12256848 0.09630239]\n", "[ 0.14058911 0.06865232 -0.02163314 0.12242274 0.09616812]\n", "[ 0.14032227 0.06851286 -0.02175333 0.12227726 0.09603411]\n", "[ 0.14005595 0.06837367 -0.02187327 0.12213206 0.09590035]\n", "[ 0.13979016 0.06823474 -0.02199296 0.12198713 0.09576684]\n", "[ 0.13952489 0.06809609 -0.0221124 0.12184248 0.09563358]\n", "[ 0.13926013 0.0679577 -0.02223159 0.12169809 0.09550057]\n", "[ 0.1389959 0.06781957 -0.02235054 0.12155398 0.09536781]\n", "[ 0.13873219 0.06768171 -0.02246924 0.12141013 0.0952353 ]\n", "[ 0.138469 0.06754411 -0.02258769 0.12126656 0.09510304]\n", "[ 0.13820632 0.06740678 -0.0227059 0.12112325 0.09497102]\n", "[ 0.13794416 0.06726971 -0.02282386 0.12098021 0.09483925]\n", "[ 0.13768252 0.0671329 -0.02294158 0.12083744 0.09470774]\n", "[ 0.13742139 0.06699635 -0.02305905 0.12069494 0.09457646]\n", "[ 0.13716077 0.06686007 -0.02317628 0.12055271 0.09444544]\n", "[ 0.13690066 0.06672405 -0.02329326 0.12041074 0.09431465]\n", "[ 0.13664106 0.06658829 -0.02341 0.12026904 0.09418412]\n", "[ 0.13638198 0.06645279 -0.0235265 0.1201276 0.09405383]\n", "[ 0.1361234 0.06631754 -0.02364276 0.11998643 0.09392378]\n", "[ 0.13586533 0.06618256 -0.02375877 0.11984552 0.09379398]\n", "[ 0.13560777 0.06604784 -0.02387454 0.11970488 0.09366442]\n", "[ 0.13535072 0.06591337 -0.02399007 0.1195645 0.0935351 ]\n", "[ 0.13509416 0.06577916 -0.02410536 0.11942438 0.09340603]\n", "[ 0.13483812 0.06564521 -0.02422041 0.11928452 0.0932772 ]\n", "[ 0.13458257 0.06551152 -0.02433523 0.11914493 0.0931486 ]\n", "[ 0.13432753 0.06537808 -0.0244498 0.1190056 0.09302025]\n", "[ 0.13407299 0.06524489 -0.02456413 0.11886653 0.09289214]\n", "[ 0.13381895 0.06511197 -0.02467823 0.11872772 0.09276428]\n", "[ 0.13356541 0.06497929 -0.02479209 0.11858917 0.09263665]\n", "[ 0.13331237 0.06484688 -0.02490571 0.11845088 0.09250925]\n", "[ 0.13305982 0.06471471 -0.02501909 0.11831285 0.0923821 ]\n", "[ 0.13280777 0.0645828 -0.02513224 0.11817507 0.09225519]\n", "[ 0.13255622 0.06445114 -0.02524515 0.11803756 0.09212851]\n", "[ 0.13230516 0.06431973 -0.02535783 0.1179003 0.09200207]\n", "[ 0.13205459 0.06418858 -0.02547027 0.1177633 0.09187587]\n", "[ 0.13180451 0.06405767 -0.02558248 0.11762655 0.09174991]\n", "[ 0.13155493 0.06392702 -0.02569445 0.11749006 0.09162418]\n", "[ 0.13130584 0.06379662 -0.02580619 0.11735383 0.09149868]\n", "[ 0.13105724 0.06366646 -0.0259177 0.11721785 0.09137342]\n", "[ 0.13080912 0.06353656 -0.02602897 0.11708212 0.0912484 ]\n", "[ 0.13056149 0.0634069 -0.02614002 0.11694665 0.09112361]\n", "[ 0.13031435 0.0632775 -0.02625083 0.11681143 0.09099905]\n", "[ 0.1300677 0.06314834 -0.02636141 0.11667647 0.09087473]\n", "[ 0.12982153 0.06301942 -0.02647176 0.11654176 0.09075063]\n", "[ 0.12957584 0.06289076 -0.02658187 0.1164073 0.09062678]\n", "[ 0.12933064 0.06276234 -0.02669176 0.11627309 0.09050315]\n", "[ 0.12908592 0.06263417 -0.02680142 0.11613913 0.09037975]\n", "[ 0.12884168 0.06250624 -0.02691085 0.11600542 0.09025659]\n", "[ 0.12859792 0.06237856 -0.02702006 0.11587196 0.09013365]\n", "[ 0.12835464 0.06225112 -0.02712903 0.11573875 0.09001095]\n", "[ 0.12811183 0.06212393 -0.02723778 0.11560579 0.08988847]\n", "[ 0.12786951 0.06199698 -0.02734629 0.11547308 0.08976623]\n", "[ 0.12762766 0.06187027 -0.02745459 0.11534062 0.08964421]\n", "[ 0.12738628 0.0617438 -0.02756265 0.11520841 0.08952242]\n", "[ 0.12714538 0.06161758 -0.02767049 0.11507644 0.08940086]\n", "[ 0.12690496 0.0614916 -0.02777811 0.11494472 0.08927952]\n", "[ 0.126665 0.06136586 -0.0278855 0.11481324 0.08915842]\n", "[ 0.12642552 0.06124036 -0.02799266 0.11468201 0.08903754]\n", "[ 0.12618651 0.0611151 -0.02809961 0.11455103 0.08891688]\n", "[ 0.12594797 0.06099008 -0.02820632 0.11442029 0.08879645]\n", "[ 0.1257099 0.0608653 -0.02831282 0.11428979 0.08867625]\n", "[ 0.12547229 0.06074076 -0.02841909 0.11415954 0.08855627]\n", "[ 0.12523516 0.06061646 -0.02852514 0.11402953 0.08843652]\n", "[ 0.12499849 0.06049239 -0.02863097 0.11389976 0.08831698]\n", "[ 0.12476228 0.06036856 -0.02873657 0.11377024 0.08819768]\n", "[ 0.12452654 0.06024497 -0.02884196 0.11364096 0.08807859]\n", "[ 0.12429126 0.06012162 -0.02894712 0.11351192 0.08795973]\n", "[ 0.12405645 0.0599985 -0.02905207 0.11338312 0.08784109]\n", "[ 0.12382209 0.05987562 -0.02915679 0.11325456 0.08772267]\n", "[ 0.1235882 0.05975297 -0.0292613 0.11312624 0.08760447]\n", "[ 0.12335477 0.05963056 -0.02936558 0.11299816 0.0874865 ]\n", "[ 0.12312179 0.05950838 -0.02946965 0.11287032 0.08736874]\n", "[ 0.12288928 0.05938644 -0.0295735 0.11274271 0.0872512 ]\n", "[ 0.12265722 0.05926472 -0.02967713 0.11261535 0.08713389]\n", "[ 0.12242562 0.05914325 -0.02978055 0.11248822 0.08701679]\n", "[ 0.12219447 0.059022 -0.02988375 0.11236133 0.08689991]\n", "[ 0.12196378 0.05890098 -0.02998673 0.11223468 0.08678325]\n", "[ 0.12173354 0.0587802 -0.0300895 0.11210826 0.08666681]\n", "[ 0.12150375 0.05865965 -0.03019205 0.11198208 0.08655058]\n", "[ 0.12127442 0.05853933 -0.03029438 0.11185614 0.08643457]\n", "[ 0.12104553 0.05841924 -0.0303965 0.11173043 0.08631878]\n", "[ 0.1208171 0.05829938 -0.03049841 0.11160495 0.08620321]\n", "[ 0.12058912 0.05817974 -0.0306001 0.11147971 0.08608785]\n", "[ 0.12036158 0.05806034 -0.03070158 0.1113547 0.0859727 ]\n", "[ 0.12013449 0.05794117 -0.03080285 0.11122992 0.08585777]\n", "[ 0.11990785 0.05782222 -0.03090391 0.11110538 0.08574306]\n", "[ 0.11968166 0.0577035 -0.03100475 0.11098107 0.08562856]\n", "[ 0.11945591 0.05758501 -0.03110538 0.11085699 0.08551427]\n", "[ 0.1192306 0.05746674 -0.0312058 0.11073314 0.08540019]\n", "[ 0.11900574 0.0573487 -0.03130601 0.11060953 0.08528633]\n", "[ 0.11878132 0.05723089 -0.031406 0.11048614 0.08517268]\n", "[ 0.11855734 0.0571133 -0.03150579 0.11036298 0.08505925]\n", "[ 0.1183338 0.05699594 -0.03160537 0.11024006 0.08494602]\n", "[ 0.1181107 0.0568788 -0.03170474 0.11011736 0.08483301]\n", "[ 0.11788804 0.05676188 -0.0318039 0.10999489 0.0847202 ]\n", "[ 0.11766582 0.05664519 -0.03190285 0.10987265 0.08460761]\n", "[ 0.11744403 0.05652872 -0.03200159 0.10975063 0.08449522]\n", "[ 0.11722268 0.05641247 -0.03210013 0.10962885 0.08438305]\n", "[ 0.11700177 0.05629645 -0.03219846 0.10950729 0.08427109]\n", "[ 0.11678129 0.05618065 -0.03229658 0.10938595 0.08415933]\n", "[ 0.11656124 0.05606507 -0.0323945 0.10926485 0.08404778]\n", "[ 0.11634163 0.05594971 -0.0324922 0.10914396 0.08393644]\n", "[ 0.11612245 0.05583457 -0.03258971 0.10902331 0.08382531]\n", "[ 0.1159037 0.05571965 -0.03268701 0.10890288 0.08371438]\n", "[ 0.11568538 0.05560495 -0.0327841 0.10878267 0.08360366]\n", "[ 0.11546749 0.05549047 -0.03288099 0.10866268 0.08349315]\n", "[ 0.11525003 0.05537621 -0.03297768 0.10854292 0.08338285]\n", "[ 0.115033 0.05526216 -0.03307416 0.10842338 0.08327274]\n", "[ 0.11481639 0.05514834 -0.03317044 0.10830407 0.08316285]\n", "[ 0.11460021 0.05503473 -0.03326651 0.10818497 0.08305316]\n", "[ 0.11438446 0.05492134 -0.03336239 0.1080661 0.08294367]\n", "[ 0.11416913 0.05480817 -0.03345806 0.10794745 0.08283439]\n", "[ 0.11395422 0.05469521 -0.03355353 0.10782902 0.08272531]\n", "[ 0.11373974 0.05458247 -0.0336488 0.10771081 0.08261643]\n", "[ 0.11352568 0.05446994 -0.03374387 0.10759282 0.08250776]\n", "[ 0.11331204 0.05435763 -0.03383873 0.10747505 0.08239929]\n", "[ 0.11309882 0.05424553 -0.0339334 0.1073575 0.08229102]\n", "[ 0.11288602 0.05413365 -0.03402787 0.10724017 0.08218295]\n", "[ 0.11267364 0.05402198 -0.03412214 0.10712305 0.08207508]\n", "[ 0.11246168 0.05391052 -0.03421621 0.10700615 0.08196741]\n", "[ 0.11225013 0.05379928 -0.03431008 0.10688947 0.08185995]\n", "[ 0.112039 0.05368825 -0.03440375 0.10677301 0.08175268]\n", "[ 0.11182829 0.05357743 -0.03449723 0.10665677 0.08164562]\n", "[ 0.11161799 0.05346683 -0.03459051 0.10654073 0.08153875]\n", "[ 0.11140811 0.05335643 -0.03468359 0.10642492 0.08143208]\n", "[ 0.11119863 0.05324625 -0.03477648 0.10630932 0.08132561]\n", "[ 0.11098957 0.05313627 -0.03486916 0.10619394 0.08121934]\n", "[ 0.11078093 0.05302651 -0.03496166 0.10607877 0.08111327]\n", "[ 0.11057269 0.05291696 -0.03505395 0.10596381 0.08100739]\n", "[ 0.11036486 0.05280761 -0.03514606 0.10584907 0.08090171]\n", "[ 0.11015744 0.05269847 -0.03523797 0.10573454 0.08079623]\n", "[ 0.10995043 0.05258955 -0.03532968 0.10562022 0.08069094]\n", "[ 0.10974383 0.05248083 -0.0354212 0.10550612 0.08058585]\n", "[ 0.10953763 0.05237231 -0.03551253 0.10539222 0.08048095]\n", "[ 0.10933184 0.05226401 -0.03560366 0.10527854 0.08037625]\n", "[ 0.10912646 0.05215591 -0.0356946 0.10516507 0.08027174]\n", "[ 0.10892148 0.05204802 -0.03578535 0.10505181 0.08016743]\n", "[ 0.1087169 0.05194033 -0.0358759 0.10493876 0.08006331]\n", "[ 0.10851272 0.05183285 -0.03596627 0.10482592 0.07995939]\n", "[ 0.10830895 0.05172558 -0.03605644 0.10471329 0.07985565]\n", "[ 0.10810558 0.05161851 -0.03614643 0.10460087 0.07975212]\n", "[ 0.10790261 0.05151164 -0.03623622 0.10448866 0.07964877]\n", "[ 0.10770004 0.05140498 -0.03632582 0.10437666 0.07954561]\n", "[ 0.10749787 0.05129852 -0.03641523 0.10426486 0.07944265]\n", "[ 0.10729609 0.05119227 -0.03650446 0.10415327 0.07933988]\n", "[ 0.10709471 0.05108621 -0.03659349 0.10404189 0.0792373 ]\n", "[ 0.10689373 0.05098037 -0.03668234 0.10393071 0.07913491]\n", "[ 0.10669315 0.05087472 -0.03677099 0.10381974 0.07903271]\n", "[ 0.10649296 0.05076927 -0.03685946 0.10370898 0.0789307 ]\n", "[ 0.10629316 0.05066403 -0.03694774 0.10359842 0.07882887]\n", "[ 0.10609376 0.05055898 -0.03703584 0.10348807 0.07872724]\n", "[ 0.10589475 0.05045414 -0.03712375 0.10337792 0.0786258 ]\n", "[ 0.10569613 0.05034949 -0.03721147 0.10326798 0.07852454]\n", "[ 0.10549791 0.05024505 -0.037299 0.10315824 0.07842347]\n", "[ 0.10530007 0.05014081 -0.03738635 0.1030487 0.07832259]\n", "[ 0.10510263 0.05003676 -0.03747352 0.10293937 0.0782219 ]\n", "[ 0.10490557 0.04993291 -0.0375605 0.10283024 0.0781214 ]\n", "[ 0.1047089 0.04982926 -0.03764729 0.10272131 0.07802108]\n", "[ 0.10451262 0.04972581 -0.0377339 0.10261258 0.07792094]\n", "[ 0.10431672 0.04962256 -0.03782033 0.10250406 0.077821 ]\n", "[ 0.10412121 0.0495195 -0.03790657 0.10239573 0.07772123]\n", "[ 0.10392609 0.04941664 -0.03799263 0.10228761 0.07762166]\n", "[ 0.10373135 0.04931398 -0.03807851 0.10217969 0.07752226]\n", "[ 0.10353699 0.04921151 -0.03816421 0.10207196 0.07742306]\n", "[ 0.10334302 0.04910924 -0.03824972 0.10196444 0.07732403]\n", "[ 0.10314943 0.04900716 -0.03833505 0.10185711 0.07722519]\n", "[ 0.10295621 0.04890527 -0.0384202 0.10174999 0.07712653]\n", "[ 0.10276339 0.04880359 -0.03850517 0.10164306 0.07702806]\n", "[ 0.10257094 0.04870209 -0.03858996 0.10153633 0.07692977]\n", "[ 0.10237886 0.04860079 -0.03867456 0.1014298 0.07683166]\n", "[ 0.10218717 0.04849968 -0.03875899 0.10132346 0.07673373]\n", "[ 0.10199586 0.04839877 -0.03884324 0.10121732 0.07663598]\n", "[ 0.10180492 0.04829804 -0.03892731 0.10111138 0.07653842]\n", "[ 0.10161436 0.04819751 -0.0390112 0.10100564 0.07644103]\n", "[ 0.10142417 0.04809717 -0.03909491 0.10090009 0.07634383]\n", "[ 0.10123436 0.04799702 -0.03917844 0.10079473 0.0762468 ]\n", "[ 0.10104492 0.04789707 -0.0392618 0.10068957 0.07614996]\n", "[ 0.10085586 0.0477973 -0.03934498 0.10058461 0.07605329]\n", "[ 0.10066717 0.04769773 -0.03942798 0.10047984 0.07595681]\n", "[ 0.10047885 0.04759834 -0.0395108 0.10037526 0.0758605 ]\n", "[ 0.1002909 0.04749914 -0.03959345 0.10027087 0.07576437]\n", "[ 0.10010332 0.04740013 -0.03967592 0.10016668 0.07566842]\n", "[ 0.09991611 0.04730132 -0.03975822 0.10006269 0.07557265]\n", "[ 0.09972927 0.04720268 -0.03984034 0.09995888 0.07547705]\n", "[ 0.0995428 0.04710424 -0.03992228 0.09985527 0.07538163]\n", "[ 0.0993567 0.04700599 -0.04000405 0.09975184 0.07528639]\n", "[ 0.09917096 0.04690792 -0.04008565 0.09964861 0.07519132]\n", "[ 0.09898559 0.04681004 -0.04016707 0.09954557 0.07509643]\n", "[ 0.09880058 0.04671234 -0.04024832 0.09944272 0.07500171]\n", "[ 0.09861594 0.04661483 -0.04032939 0.09934006 0.07490718]\n", "[ 0.09843166 0.04651751 -0.0404103 0.09923759 0.07481281]\n", "[ 0.09824775 0.04642038 -0.04049102 0.09913531 0.07471862]\n", "[ 0.0980642 0.04632342 -0.04057158 0.09903322 0.0746246 ]\n", "[ 0.09788101 0.04622666 -0.04065197 0.09893132 0.07453076]\n", "[ 0.09769818 0.04613007 -0.04073218 0.0988296 0.07443709]\n", "[ 0.09751571 0.04603367 -0.04081222 0.09872807 0.0743436 ]\n", "[ 0.0973336 0.04593746 -0.04089209 0.09862673 0.07425027]\n", "[ 0.09715185 0.04584143 -0.04097179 0.09852558 0.07415712]\n", "[ 0.09697046 0.04574558 -0.04105132 0.09842461 0.07406415]\n", "[ 0.09678943 0.04564991 -0.04113068 0.09832383 0.07397134]\n", "[ 0.09660875 0.04555443 -0.04120987 0.09822324 0.07387871]\n", "[ 0.09642843 0.04545913 -0.04128889 0.09812283 0.07378624]\n", "[ 0.09624846 0.045364 -0.04136774 0.09802261 0.07369395]\n", "[ 0.09606885 0.04526907 -0.04144643 0.09792257 0.07360183]\n", "[ 0.0958896 0.04517431 -0.04152494 0.09782272 0.07350988]\n", "[ 0.09571069 0.04507973 -0.04160329 0.09772305 0.07341809]\n", "[ 0.09553214 0.04498533 -0.04168147 0.09762357 0.07332648]\n", "[ 0.09535394 0.04489111 -0.04175948 0.09752427 0.07323504]\n", "[ 0.0951761 0.04479707 -0.04183732 0.09742515 0.07314376]\n", "[ 0.0949986 0.04470321 -0.041915 0.09732621 0.07305266]\n", "[ 0.09482145 0.04460953 -0.04199251 0.09722746 0.07296172]\n", "[ 0.09464466 0.04451603 -0.04206985 0.09712889 0.07287095]\n", "[ 0.09446821 0.0444227 -0.04214703 0.0970305 0.07278035]\n", "[ 0.09429211 0.04432956 -0.04222405 0.09693229 0.07268992]\n", "[ 0.09411636 0.04423659 -0.0423009 0.09683427 0.07259965]\n", "[ 0.09394095 0.04414379 -0.04237758 0.09673642 0.07250955]\n", "[ 0.09376589 0.04405118 -0.0424541 0.09663876 0.07241961]\n", "[ 0.09359117 0.04395874 -0.04253046 0.09654127 0.07232984]\n", "[ 0.0934168 0.04386647 -0.04260665 0.09644396 0.07224024]\n", "[ 0.09324277 0.04377439 -0.04268268 0.09634684 0.0721508 ]\n", "[ 0.09306909 0.04368247 -0.04275854 0.09624989 0.07206153]\n", "[ 0.09289575 0.04359074 -0.04283424 0.09615312 0.07197242]\n", "[ 0.09272275 0.04349917 -0.04290978 0.09605653 0.07188348]\n", "[ 0.09255009 0.04340778 -0.04298516 0.09596012 0.0717947 ]\n", "[ 0.09237777 0.04331657 -0.04306038 0.09586388 0.07170608]\n", "[ 0.0922058 0.04322553 -0.04313543 0.09576782 0.07161763]\n", "[ 0.09203416 0.04313466 -0.04321032 0.09567194 0.07152934]\n", "[ 0.09186286 0.04304396 -0.04328506 0.09557624 0.07144121]\n", "[ 0.0916919 0.04295344 -0.04335963 0.09548071 0.07135325]\n", "[ 0.09152127 0.04286309 -0.04343404 0.09538536 0.07126544]\n", "[ 0.09135098 0.04277291 -0.04350829 0.09529018 0.0711778 ]\n", "[ 0.09118103 0.0426829 -0.04358238 0.09519518 0.07109032]\n", "[ 0.09101142 0.04259307 -0.04365631 0.09510035 0.07100301]\n", "[ 0.09084213 0.0425034 -0.04373009 0.0950057 0.07091585]\n", "[ 0.09067319 0.04241391 -0.0438037 0.09491122 0.07082885]\n", "[ 0.09050457 0.04232458 -0.04387716 0.09481692 0.07074202]\n", "[ 0.09033629 0.04223543 -0.04395045 0.09472279 0.07065534]\n", "[ 0.09016834 0.04214644 -0.04402359 0.09462883 0.07056882]\n", "[ 0.09000072 0.04205763 -0.04409658 0.09453504 0.07048247]\n", "[ 0.08983343 0.04196898 -0.0441694 0.09444143 0.07039627]\n", "[ 0.08966647 0.0418805 -0.04424207 0.09434799 0.07031023]\n", "[ 0.08949984 0.04179219 -0.04431458 0.09425472 0.07022435]\n", "[ 0.08933355 0.04170405 -0.04438694 0.09416163 0.07013863]\n", "[ 0.08916757 0.04161608 -0.04445914 0.0940687 0.07005306]\n", "[ 0.08900193 0.04152827 -0.04453118 0.09397594 0.06996765]\n", "[ 0.08883661 0.04144063 -0.04460307 0.09388336 0.0698824 ]\n", "[ 0.08867162 0.04135315 -0.0446748 0.09379095 0.06979731]\n", "[ 0.08850696 0.04126585 -0.04474638 0.0936987 0.06971237]\n", "[ 0.08834262 0.04117871 -0.0448178 0.09360663 0.06962759]\n", "[ 0.0881786 0.04109173 -0.04488907 0.09351472 0.06954297]\n", "[ 0.08801491 0.04100492 -0.04496019 0.09342298 0.0694585 ]\n", "[ 0.08785154 0.04091828 -0.04503115 0.09333141 0.06937418]\n", "[ 0.08768849 0.0408318 -0.04510196 0.09324001 0.06929002]\n", "[ 0.08752577 0.04074548 -0.04517262 0.09314878 0.06920602]\n", "[ 0.08736336 0.04065933 -0.04524312 0.09305771 0.06912217]\n", "[ 0.08720128 0.04057334 -0.04531347 0.09296682 0.06903847]\n", "[ 0.08703952 0.04048751 -0.04538367 0.09287609 0.06895493]\n", "[ 0.08687807 0.04040185 -0.04545372 0.09278552 0.06887155]\n", "[ 0.08671695 0.04031635 -0.04552362 0.09269512 0.06878831]\n", "[ 0.08655614 0.04023102 -0.04559336 0.09260489 0.06870523]\n", "[ 0.08639565 0.04014584 -0.04566296 0.09251482 0.0686223 ]\n", "[ 0.08623548 0.04006083 -0.0457324 0.09242492 0.06853952]\n", "[ 0.08607562 0.03997598 -0.04580169 0.09233519 0.0684569 ]\n", "[ 0.08591608 0.03989129 -0.04587084 0.09224561 0.06837443]\n", "[ 0.08575686 0.03980676 -0.04593983 0.09215621 0.0682921 ]\n", "[ 0.08559795 0.03972239 -0.04600867 0.09206696 0.06820993]\n", "[ 0.08543935 0.03963818 -0.04607737 0.09197788 0.06812791]\n", "[ 0.08528106 0.03955414 -0.04614592 0.09188897 0.06804605]\n", "[ 0.08512309 0.03947025 -0.04621431 0.09180021 0.06796433]\n", "[ 0.08496543 0.03938652 -0.04628256 0.09171162 0.06788276]\n", "[ 0.08480808 0.03930295 -0.04635066 0.09162319 0.06780134]\n", "[ 0.08465104 0.03921954 -0.04641862 0.09153493 0.06772007]\n", "[ 0.08449432 0.03913629 -0.04648643 0.09144682 0.06763895]\n", "[ 0.0843379 0.03905319 -0.04655409 0.09135888 0.06755798]\n", "[ 0.08418179 0.03897025 -0.0466216 0.0912711 0.06747716]\n", "[ 0.08402599 0.03888747 -0.04668896 0.09118347 0.06739648]\n", "[ 0.08387049 0.03880485 -0.04675619 0.09109601 0.06731596]\n", "[ 0.08371531 0.03872239 -0.04682326 0.09100871 0.06723558]\n", "[ 0.08356043 0.03864008 -0.04689019 0.09092157 0.06715535]\n", "[ 0.08340585 0.03855793 -0.04695697 0.09083459 0.06707526]\n", "[ 0.08325158 0.03847593 -0.04702361 0.09074777 0.06699533]\n", "[ 0.08309762 0.03839409 -0.0470901 0.09066111 0.06691554]\n", "[ 0.08294396 0.0383124 -0.04715645 0.0905746 0.06683589]\n", "[ 0.0827906 0.03823087 -0.04722266 0.09048826 0.06675639]\n", "[ 0.08263755 0.0381495 -0.04728872 0.09040207 0.06667704]\n", "[ 0.0824848 0.03806828 -0.04735464 0.09031604 0.06659783]\n", "[ 0.08233235 0.03798721 -0.04742041 0.09023017 0.06651877]\n", "[ 0.0821802 0.0379063 -0.04748604 0.09014445 0.06643985]\n", "[ 0.08202836 0.03782554 -0.04755153 0.09005889 0.06636108]\n", "[ 0.08187681 0.03774493 -0.04761687 0.08997349 0.06628245]\n", "[ 0.08172556 0.03766448 -0.04768208 0.08988824 0.06620397]\n", "[ 0.08157461 0.03758418 -0.04774714 0.08980315 0.06612563]\n", "[ 0.08142396 0.03750403 -0.04781206 0.08971822 0.06604743]\n", "[ 0.08127361 0.03742403 -0.04787684 0.08963344 0.06596938]\n", "[ 0.08112355 0.03734419 -0.04794147 0.08954882 0.06589147]\n", "[ 0.08097379 0.03726449 -0.04800597 0.08946435 0.0658137 ]\n", "[ 0.08082433 0.03718495 -0.04807033 0.08938003 0.06573607]\n", "[ 0.08067516 0.03710556 -0.04813454 0.08929587 0.06565859]\n", "[ 0.08052628 0.03702632 -0.04819862 0.08921187 0.06558125]\n", "[ 0.08037771 0.03694723 -0.04826255 0.08912801 0.06550405]\n", "[ 0.08022942 0.03686829 -0.04832635 0.08904431 0.06542699]\n", "[ 0.08008143 0.0367895 -0.04839001 0.08896076 0.06535007]\n", "[ 0.07993373 0.03671086 -0.04845352 0.08887737 0.06527329]\n", "[ 0.07978632 0.03663237 -0.0485169 0.08879413 0.06519666]\n", "[ 0.0796392 0.03655403 -0.04858014 0.08871104 0.06512016]\n", "[ 0.07949237 0.03647583 -0.04864325 0.0886281 0.0650438 ]\n", "[ 0.07934584 0.03639779 -0.04870621 0.08854531 0.06496759]\n", "[ 0.07919959 0.03631989 -0.04876904 0.08846268 0.06489151]\n", "[ 0.07905363 0.03624214 -0.04883173 0.08838019 0.06481557]\n", "[ 0.07890797 0.03616453 -0.04889428 0.08829786 0.06473977]\n", "[ 0.07876259 0.03608708 -0.0489567 0.08821567 0.06466411]\n", "[ 0.07861749 0.03600977 -0.04901898 0.08813364 0.06458858]\n", "[ 0.07847269 0.03593261 -0.04908112 0.08805175 0.0645132 ]\n", "[ 0.07832816 0.03585559 -0.04914313 0.08797002 0.06443795]\n", "[ 0.07818393 0.03577872 -0.049205 0.08788843 0.06436284]\n", "[ 0.07803998 0.035702 -0.04926674 0.08780699 0.06428787]\n", "[ 0.07789632 0.03562542 -0.04932834 0.08772571 0.06421303]\n", "[ 0.07775294 0.03554899 -0.04938981 0.08764457 0.06413833]\n", "[ 0.07760984 0.0354727 -0.04945114 0.08756357 0.06406377]\n", "[ 0.07746702 0.03539655 -0.04951234 0.08748273 0.06398935]\n", "[ 0.07732449 0.03532055 -0.0495734 0.08740203 0.06391505]\n", "[ 0.07718224 0.0352447 -0.04963433 0.08732148 0.0638409 ]\n", "[ 0.07704027 0.03516898 -0.04969512 0.08724108 0.06376688]\n", "[ 0.07689858 0.03509342 -0.04975579 0.08716082 0.063693 ]\n", "[ 0.07675718 0.03501799 -0.04981632 0.08708071 0.06361925]\n", "[ 0.07661605 0.03494271 -0.04987671 0.08700074 0.06354563]\n", "[ 0.0764752 0.03486757 -0.04993698 0.08692092 0.06347215]\n", "[ 0.07633463 0.03479257 -0.04999711 0.08684125 0.0633988 ]\n", "[ 0.07619434 0.03471771 -0.05005711 0.08676172 0.06332559]\n", "[ 0.07605432 0.034643 -0.05011698 0.08668234 0.06325251]\n", "[ 0.07591458 0.03456843 -0.05017671 0.0866031 0.06317956]\n", "[ 0.07577512 0.034494 -0.05023632 0.086524 0.06310675]\n", "[ 0.07563593 0.03441971 -0.05029579 0.08644505 0.06303407]\n", "[ 0.07549702 0.03434556 -0.05035514 0.08636625 0.06296152]\n", "[ 0.07535839 0.03427155 -0.05041435 0.08628758 0.06288911]\n", "[ 0.07522003 0.03419768 -0.05047343 0.08620906 0.06281682]\n", "[ 0.07508194 0.03412395 -0.05053239 0.08613068 0.06274467]\n", "[ 0.07494412 0.03405036 -0.05059121 0.08605245 0.06267265]\n", "[ 0.07480658 0.03397691 -0.0506499 0.08597436 0.06260076]\n", "[ 0.07466931 0.0339036 -0.05070847 0.0858964 0.062529 ]\n", "[ 0.07453231 0.03383043 -0.0507669 0.0858186 0.06245738]\n", "[ 0.07439559 0.0337574 -0.05082521 0.08574093 0.06238588]\n", "[ 0.07425913 0.0336845 -0.05088339 0.0856634 0.06231451]\n", "[ 0.07412294 0.03361174 -0.05094144 0.08558602 0.06224328]\n", "[ 0.07398703 0.03353912 -0.05099936 0.08550877 0.06217217]\n", "[ 0.07385138 0.03346664 -0.05105716 0.08543167 0.06210119]\n", "[ 0.073716 0.0333943 -0.05111482 0.0853547 0.06203034]\n", "[ 0.07358089 0.03332209 -0.05117236 0.08527788 0.06195962]\n", "[ 0.07344604 0.03325002 -0.05122978 0.08520119 0.06188903]\n", "[ 0.07331146 0.03317808 -0.05128706 0.08512465 0.06181857]\n", "[ 0.07317715 0.03310628 -0.05134422 0.08504824 0.06174824]\n", "[ 0.07304311 0.03303462 -0.05140126 0.08497197 0.06167803]\n", "[ 0.07290933 0.03296309 -0.05145817 0.08489585 0.06160795]\n", "[ 0.07277581 0.0328917 -0.05151495 0.08481985 0.061538 ]\n", "[ 0.07264256 0.03282044 -0.0515716 0.084744 0.06146818]\n", "[ 0.07250957 0.03274932 -0.05162814 0.08466829 0.06139848]\n", "[ 0.07237685 0.03267833 -0.05168454 0.08459271 0.06132891]\n", "[ 0.07224439 0.03260748 -0.05174082 0.08451727 0.06125947]\n", "[ 0.07211219 0.03253676 -0.05179698 0.08444196 0.06119015]\n", "[ 0.07198025 0.03246618 -0.05185301 0.0843668 0.06112096]\n", "[ 0.07184857 0.03239572 -0.05190892 0.08429177 0.06105189]\n", "[ 0.07171716 0.0323254 -0.05196471 0.08421687 0.06098295]\n", "[ 0.071586 0.03225522 -0.05202037 0.08414211 0.06091414]\n", "[ 0.0714551 0.03218517 -0.05207591 0.08406749 0.06084545]\n", "[ 0.07132447 0.03211524 -0.05213133 0.083993 0.06077688]\n", "[ 0.07119409 0.03204546 -0.05218662 0.08391865 0.06070844]\n", "[ 0.07106397 0.0319758 -0.05224179 0.08384443 0.06064013]\n", "[ 0.07093411 0.03190628 -0.05229684 0.08377035 0.06057193]\n", "[ 0.0708045 0.03183688 -0.05235176 0.0836964 0.06050386]\n", "[ 0.07067515 0.03176762 -0.05240657 0.08362259 0.06043592]\n", "[ 0.07054606 0.03169849 -0.05246125 0.0835489 0.0603681 ]\n", "[ 0.07041722 0.03162949 -0.05251581 0.08347536 0.0603004 ]\n", "[ 0.07028864 0.03156062 -0.05257025 0.08340194 0.06023282]\n", "[ 0.07016032 0.03149188 -0.05262457 0.08332866 0.06016537]\n", "[ 0.07003224 0.03142327 -0.05267877 0.08325551 0.06009804]\n", "[ 0.06990442 0.03135479 -0.05273285 0.0831825 0.06003083]\n", "[ 0.06977686 0.03128644 -0.0527868 0.08310961 0.05996375]\n", "[ 0.06964954 0.03121822 -0.05284064 0.08303686 0.05989678]\n", "[ 0.06952248 0.03115012 -0.05289436 0.08296424 0.05982994]\n", "[ 0.06939567 0.03108216 -0.05294796 0.08289175 0.05976321]\n", "[ 0.06926912 0.03101432 -0.05300144 0.08281939 0.05969661]\n", "[ 0.06914281 0.03094661 -0.0530548 0.08274717 0.05963013]\n", "[ 0.06901675 0.03087903 -0.05310804 0.08267507 0.05956377]\n", "[ 0.06889094 0.03081158 -0.05316117 0.0826031 0.05949753]\n", "[ 0.06876538 0.03074426 -0.05321417 0.08253127 0.05943141]\n", "[ 0.06864007 0.03067706 -0.05326706 0.08245956 0.05936541]\n", "[ 0.06851501 0.03060999 -0.05331983 0.08238799 0.05929953]\n", "[ 0.0683902 0.03054305 -0.05337248 0.08231654 0.05923377]\n", "[ 0.06826563 0.03047623 -0.05342502 0.08224522 0.05916813]\n", "[ 0.06814131 0.03040954 -0.05347743 0.08217403 0.05910261]\n", "[ 0.06801724 0.03034297 -0.05352973 0.08210297 0.0590372 ]\n", "[ 0.06789341 0.03027653 -0.05358192 0.08203204 0.05897192]\n", "[ 0.06776983 0.03021022 -0.05363399 0.08196124 0.05890675]\n", "[ 0.06764649 0.03014403 -0.05368594 0.08189057 0.0588417 ]\n", "[ 0.0675234 0.03007797 -0.05373777 0.08182002 0.05877677]\n", "[ 0.06740055 0.03001203 -0.05378949 0.0817496 0.05871195]\n", "[ 0.06727795 0.02994621 -0.0538411 0.0816793 0.05864725]\n", "[ 0.06715558 0.02988052 -0.05389258 0.08160914 0.05858267]\n", "[ 0.06703347 0.02981496 -0.05394396 0.0815391 0.05851821]\n", "[ 0.06691159 0.02974951 -0.05399522 0.08146919 0.05845386]\n", "[ 0.06678995 0.02968419 -0.05404636 0.0813994 0.05838963]\n", "[ 0.06666856 0.029619 -0.05409739 0.08132974 0.05832552]\n", "[ 0.0665474 0.02955392 -0.05414831 0.0812602 0.05826152]\n", "[ 0.06642649 0.02948897 -0.05419911 0.08119079 0.05819763]\n", "[ 0.06630581 0.02942415 -0.0542498 0.08112151 0.05813387]\n", "[ 0.06618538 0.02935944 -0.05430037 0.08105235 0.05807021]\n", "[ 0.06606518 0.02929486 -0.05435083 0.08098332 0.05800668]\n", "[ 0.06594522 0.0292304 -0.05440118 0.08091441 0.05794325]\n", "[ 0.0658255 0.02916606 -0.05445141 0.08084562 0.05787995]\n", "[ 0.06570602 0.02910184 -0.05450154 0.08077696 0.05781675]\n", "[ 0.06558677 0.02903774 -0.05455155 0.08070842 0.05775367]\n", "[ 0.06546776 0.02897377 -0.05460145 0.08064001 0.05769071]\n", "[ 0.06534899 0.02890991 -0.05465123 0.08057172 0.05762786]\n", "[ 0.06523045 0.02884617 -0.05470091 0.08050355 0.05756512]\n", "[ 0.06511215 0.02878256 -0.05475047 0.0804355 0.05750249]\n", "[ 0.06499408 0.02871906 -0.05479992 0.08036758 0.05743998]\n", "[ 0.06487625 0.02865569 -0.05484926 0.08029978 0.05737758]\n", "[ 0.06475865 0.02859243 -0.05489849 0.0802321 0.05731529]\n", "[ 0.06464128 0.0285293 -0.05494761 0.08016454 0.05725312]\n", "[ 0.06452414 0.02846628 -0.05499662 0.08009711 0.05719106]\n", "[ 0.06440724 0.02840338 -0.05504552 0.0800298 0.05712911]\n", "[ 0.06429057 0.0283406 -0.05509431 0.0799626 0.05706727]\n", "[ 0.06417413 0.02827794 -0.05514298 0.07989553 0.05700554]\n", "[ 0.06405792 0.0282154 -0.05519155 0.07982858 0.05694393]\n", "[ 0.06394195 0.02815297 -0.05524001 0.07976175 0.05688242]\n", "[ 0.0638262 0.02809066 -0.05528836 0.07969504 0.05682103]\n", "[ 0.06371068 0.02802847 -0.05533661 0.07962845 0.05675974]\n", "[ 0.06359539 0.0279664 -0.05538474 0.07956198 0.05669857]\n", "[ 0.06348033 0.02790444 -0.05543276 0.07949563 0.05663751]\n", "[ 0.0633655 0.0278426 -0.05548068 0.0794294 0.05657656]\n", "[ 0.0632509 0.02778088 -0.05552849 0.07936329 0.05651571]\n", "[ 0.06313652 0.02771927 -0.05557619 0.07929729 0.05645498]\n", "[ 0.06302237 0.02765778 -0.05562378 0.07923142 0.05639436]\n", "[ 0.06290845 0.02759641 -0.05567127 0.07916566 0.05633384]\n", "[ 0.06279475 0.02753515 -0.05571864 0.07910003 0.05627344]\n", "[ 0.06268128 0.027474 -0.05576592 0.0790345 0.05621314]\n", "[ 0.06256804 0.02741297 -0.05581308 0.0789691 0.05615295]\n", "[ 0.06245501 0.02735206 -0.05586014 0.07890382 0.05609287]\n", "[ 0.06234222 0.02729126 -0.05590709 0.07883865 0.0560329 ]\n", "[ 0.06222964 0.02723058 -0.05595393 0.0787736 0.05597303]\n", "[ 0.06211729 0.02717001 -0.05600067 0.07870866 0.05591328]\n", "[ 0.06200517 0.02710955 -0.05604731 0.07864385 0.05585363]\n", "[ 0.06189326 0.02704921 -0.05609383 0.07857915 0.05579409]\n", "[ 0.06178158 0.02698898 -0.05614026 0.07851456 0.05573465]\n", "[ 0.06167012 0.02692886 -0.05618657 0.07845009 0.05567532]\n", "[ 0.06155888 0.02686886 -0.05623279 0.07838574 0.0556161 ]\n", "[ 0.06144786 0.02680897 -0.0562789 0.0783215 0.05555699]\n", "[ 0.06133707 0.02674919 -0.0563249 0.07825738 0.05549798]\n", "[ 0.06122649 0.02668953 -0.0563708 0.07819337 0.05543908]\n", "[ 0.06111613 0.02662998 -0.05641659 0.07812948 0.05538028]\n", "[ 0.06100599 0.02657054 -0.05646228 0.0780657 0.05532159]\n", "[ 0.06089607 0.02651121 -0.05650787 0.07800203 0.055263 ]\n", "[ 0.06078637 0.026452 -0.05655335 0.07793848 0.05520452]\n", "[ 0.06067688 0.02639289 -0.05659874 0.07787505 0.05514615]\n", "[ 0.06056762 0.0263339 -0.05664401 0.07781172 0.05508788]\n", "[ 0.06045857 0.02627501 -0.05668919 0.07774851 0.05502971]\n", "[ 0.06034973 0.02621624 -0.05673426 0.07768542 0.05497165]\n", "[ 0.06024112 0.02615758 -0.05677923 0.07762244 0.05491369]\n", "[ 0.06013271 0.02609903 -0.0568241 0.07755957 0.05485584]\n", "[ 0.06002453 0.02604059 -0.05686886 0.07749681 0.05479809]\n", "[ 0.05991656 0.02598226 -0.05691352 0.07743416 0.05474044]\n", "[ 0.0598088 0.02592404 -0.05695809 0.07737163 0.0546829 ]\n", "[ 0.05970126 0.02586593 -0.05700255 0.07730921 0.05462546]\n", "[ 0.05959393 0.02580792 -0.0570469 0.0772469 0.05456812]\n", "[ 0.05948681 0.02575003 -0.05709116 0.0771847 0.05451089]\n", "[ 0.05937991 0.02569225 -0.05713532 0.07712261 0.05445376]\n", "[ 0.05927322 0.02563457 -0.05717938 0.07706064 0.05439673]\n", "[ 0.05916674 0.025577 -0.05722333 0.07699877 0.0543398 ]\n", "[ 0.05906047 0.02551954 -0.05726719 0.07693702 0.05428297]\n", "[ 0.05895442 0.02546219 -0.05731094 0.07687537 0.05422625]\n", "[ 0.05884857 0.02540495 -0.0573546 0.07681384 0.05416963]\n", "[ 0.05874293 0.02534781 -0.05739815 0.07675242 0.05411311]\n", "[ 0.05863751 0.02529079 -0.05744161 0.0766911 0.05405669]\n", "[ 0.05853229 0.02523387 -0.05748497 0.0766299 0.05400037]\n", "[ 0.05842729 0.02517705 -0.05752822 0.0765688 0.05394416]\n", "[ 0.05832249 0.02512034 -0.05757138 0.07650782 0.05388804]\n", "[ 0.0582179 0.02506374 -0.05761444 0.07644694 0.05383202]\n", "[ 0.05811352 0.02500725 -0.05765741 0.07638617 0.05377611]\n", "[ 0.05800934 0.02495086 -0.05770027 0.07632551 0.05372029]\n", "[ 0.05790538 0.02489458 -0.05774303 0.07626496 0.05366458]\n", "[ 0.05780162 0.0248384 -0.0577857 0.07620452 0.05360896]\n", "[ 0.05769806 0.02478233 -0.05782827 0.07614418 0.05355344]\n", "[ 0.05759471 0.02472636 -0.05787074 0.07608395 0.05349803]\n", "[ 0.05749157 0.0246705 -0.05791312 0.07602383 0.05344271]\n", "[ 0.05738863 0.02461475 -0.05795539 0.07596382 0.05338749]\n", "[ 0.0572859 0.0245591 -0.05799757 0.07590391 0.05333237]\n", "[ 0.05718337 0.02450355 -0.05803966 0.07584411 0.05327735]\n", "[ 0.05708104 0.02444811 -0.05808165 0.07578442 0.05322242]\n", "[ 0.05697892 0.02439277 -0.05812354 0.07572483 0.0531676 ]\n", "[ 0.056877 0.02433754 -0.05816533 0.07566535 0.05311287]\n", "[ 0.05677529 0.02428241 -0.05820703 0.07560598 0.05305824]\n", "[ 0.05667377 0.02422738 -0.05824863 0.07554671 0.05300371]\n", "[ 0.05657246 0.02417246 -0.05829014 0.07548755 0.05294927]\n", "[ 0.05647135 0.02411763 -0.05833155 0.07542849 0.05289493]\n", "[ 0.05637044 0.02406292 -0.05837287 0.07536954 0.05284069]\n", "[ 0.05626973 0.0240083 -0.05841409 0.07531069 0.05278655]\n", "[ 0.05616922 0.02395379 -0.05845521 0.07525195 0.0527325 ]\n", "[ 0.05606891 0.02389938 -0.05849624 0.07519331 0.05267855]\n", "[ 0.05596881 0.02384507 -0.05853718 0.07513478 0.05262469]\n", "[ 0.0558689 0.02379087 -0.05857802 0.07507635 0.05257093]\n", "[ 0.05576918 0.02373676 -0.05861877 0.07501802 0.05251727]\n", "[ 0.05566967 0.02368276 -0.05865943 0.0749598 0.0524637 ]\n", "[ 0.05557036 0.02362886 -0.05869999 0.07490168 0.05241023]\n", "[ 0.05547124 0.02357506 -0.05874045 0.07484367 0.05235685]\n", "[ 0.05537232 0.02352136 -0.05878083 0.07478576 0.05230357]\n", "[ 0.0552736 0.02346776 -0.05882111 0.07472795 0.05225039]\n", "[ 0.05517507 0.02341426 -0.05886129 0.07467024 0.05219729]\n", "[ 0.05507674 0.02336086 -0.05890139 0.07461264 0.0521443 ]\n", "[ 0.0549786 0.02330756 -0.05894139 0.07455514 0.05209139]\n", "[ 0.05488066 0.02325436 -0.0589813 0.07449774 0.05203858]\n", "[ 0.05478292 0.02320127 -0.05902112 0.07444044 0.05198587]\n", "[ 0.05468537 0.02314827 -0.05906084 0.07438325 0.05193325]\n", "[ 0.05458801 0.02309537 -0.05910047 0.07432616 0.05188072]\n", "[ 0.05449085 0.02304257 -0.05914001 0.07426916 0.05182829]\n", "[ 0.05439388 0.02298987 -0.05917946 0.07421227 0.05177595]\n", "[ 0.0542971 0.02293726 -0.05921882 0.07415548 0.0517237 ]\n", "[ 0.05420052 0.02288476 -0.05925809 0.07409879 0.05167155]\n", "[ 0.05410413 0.02283236 -0.05929726 0.07404221 0.05161948]\n", "[ 0.05400793 0.02278005 -0.05933635 0.07398572 0.05156751]\n", "[ 0.05391192 0.02272784 -0.05937534 0.07392933 0.05151564]\n", "[ 0.0538161 0.02267573 -0.05941425 0.07387304 0.05146385]\n", "[ 0.05372048 0.02262371 -0.05945306 0.07381685 0.05141216]\n", "[ 0.05362504 0.0225718 -0.05949178 0.07376077 0.05136056]\n", "[ 0.0535298 0.02251998 -0.05953041 0.07370478 0.05130905]\n", "[ 0.05343474 0.02246826 -0.05956896 0.07364889 0.05125763]\n", "[ 0.05333987 0.02241663 -0.05960741 0.0735931 0.05120631]\n", "[ 0.0532452 0.0223651 -0.05964577 0.0735374 0.05115507]\n", "[ 0.05315071 0.02231367 -0.05968405 0.07348181 0.05110393]\n", "[ 0.05305641 0.02226234 -0.05972223 0.07342632 0.05105288]\n", "[ 0.05296229 0.0222111 -0.05976033 0.07337092 0.05100191]\n", "[ 0.05286837 0.02215995 -0.05979834 0.07331562 0.05095104]\n", "[ 0.05277463 0.02210891 -0.05983626 0.07326042 0.05090026]\n", "[ 0.05268108 0.02205795 -0.05987409 0.07320532 0.05084957]\n", "[ 0.05258771 0.0220071 -0.05991183 0.07315032 0.05079897]\n", "[ 0.05249453 0.02195633 -0.05994949 0.07309541 0.05074846]\n", "[ 0.05240154 0.02190567 -0.05998705 0.0730406 0.05069803]\n", "[ 0.05230873 0.0218551 -0.06002453 0.07298588 0.0506477 ]\n", "[ 0.0522161 0.02180462 -0.06006192 0.07293127 0.05059746]\n", "[ 0.05212366 0.02175424 -0.06009923 0.07287675 0.0505473 ]\n", "[ 0.05203141 0.02170395 -0.06013644 0.07282232 0.05049724]\n", "[ 0.05193934 0.02165375 -0.06017357 0.07276799 0.05044726]\n", "[ 0.05184745 0.02160365 -0.06021061 0.07271376 0.05039737]\n", "[ 0.05175574 0.02155365 -0.06024757 0.07265963 0.05034757]\n", "[ 0.05166422 0.02150373 -0.06028444 0.07260559 0.05029786]\n", "[ 0.05157288 0.02145392 -0.06032122 0.07255164 0.05024823]\n", "[ 0.05148172 0.02140419 -0.06035792 0.07249779 0.0501987 ]\n", "[ 0.05139075 0.02135456 -0.06039453 0.07244404 0.05014925]\n", "[ 0.05129995 0.02130502 -0.06043106 0.07239038 0.05009989]\n", "[ 0.05120934 0.02125557 -0.0604675 0.07233682 0.05005062]\n", "[ 0.05111891 0.02120621 -0.06050385 0.07228335 0.05000143]\n", "[ 0.05102865 0.02115695 -0.06054012 0.07222997 0.04995233]\n", "[ 0.05093858 0.02110778 -0.0605763 0.07217669 0.04990332]\n", "[ 0.05084869 0.0210587 -0.0606124 0.0721235 0.04985439]\n", "[ 0.05075897 0.02100971 -0.06064841 0.07207041 0.04980555]\n", "[ 0.05066944 0.02096082 -0.06068434 0.07201741 0.0497568 ]\n", "[ 0.05058008 0.02091201 -0.06072019 0.0719645 0.04970813]\n", "[ 0.0504909 0.0208633 -0.06075595 0.07191169 0.04965955]\n", "[ 0.0504019 0.02081468 -0.06079162 0.07185897 0.04961106]\n", "[ 0.05031308 0.02076614 -0.06082721 0.07180634 0.04956265]\n", "[ 0.05022443 0.0207177 -0.06086272 0.07175381 0.04951432]\n", "[ 0.05013596 0.02066935 -0.06089815 0.07170137 0.04946609]\n", "[ 0.05004767 0.02062109 -0.06093349 0.07164902 0.04941793]\n", "[ 0.04995955 0.02057292 -0.06096875 0.07159676 0.04936987]\n", "[ 0.04987161 0.02052485 -0.06100392 0.07154459 0.04932188]\n", "[ 0.04978384 0.02047686 -0.06103901 0.07149252 0.04927398]\n", "[ 0.04969625 0.02042896 -0.06107402 0.07144054 0.04922617]\n", "[ 0.04960883 0.02038114 -0.06110895 0.07138865 0.04917844]\n", "[ 0.04952159 0.02033342 -0.06114379 0.07133685 0.04913079]\n", "[ 0.04943453 0.02028579 -0.06117855 0.07128514 0.04908323]\n", "[ 0.04934763 0.02023825 -0.06121323 0.07123353 0.04903576]\n", "[ 0.04926091 0.02019079 -0.06124782 0.071182 0.04898836]\n", "[ 0.04917436 0.02014343 -0.06128234 0.07113056 0.04894105]\n", "[ 0.04908799 0.02009615 -0.06131677 0.07107922 0.04889382]\n", "[ 0.04900178 0.02004896 -0.06135112 0.07102796 0.04884668]\n", "[ 0.04891575 0.02000186 -0.06138539 0.0709768 0.04879962]\n", "[ 0.04882989 0.01995485 -0.06141958 0.07092573 0.04875264]\n", "[ 0.04874421 0.01990792 -0.06145369 0.07087474 0.04870575]\n", "[ 0.04865869 0.01986108 -0.06148772 0.07082385 0.04865894]\n", "[ 0.04857334 0.01981433 -0.06152166 0.07077304 0.04861221]\n", "[ 0.04848817 0.01976767 -0.06155553 0.07072232 0.04856556]\n", "[ 0.04840316 0.01972109 -0.06158931 0.0706717 0.04851899]\n", "[ 0.04831833 0.0196746 -0.06162302 0.07062116 0.04847251]\n", "[ 0.04823366 0.0196282 -0.06165664 0.07057071 0.04842611]\n", "[ 0.04814916 0.01958189 -0.06169019 0.07052034 0.04837979]\n", "[ 0.04806483 0.01953566 -0.06172365 0.07047007 0.04833355]\n", "[ 0.04798067 0.01948951 -0.06175704 0.07041989 0.04828739]\n", "[ 0.04789668 0.01944346 -0.06179034 0.07036979 0.04824131]\n", "[ 0.04781285 0.01939749 -0.06182357 0.07031978 0.04819532]\n", "[ 0.0477292 0.0193516 -0.06185672 0.07026986 0.0481494 ]\n", "[ 0.04764571 0.0193058 -0.06188978 0.07022003 0.04810357]\n", "[ 0.04756238 0.01926008 -0.06192277 0.07017028 0.04805782]\n", "[ 0.04747923 0.01921446 -0.06195568 0.07012062 0.04801214]\n", "[ 0.04739623 0.01916891 -0.06198851 0.07007105 0.04796655]\n", "[ 0.04731341 0.01912345 -0.06202127 0.07002156 0.04792104]\n", "[ 0.04723075 0.01907808 -0.06205394 0.06997216 0.04787561]\n", "[ 0.04714825 0.01903279 -0.06208654 0.06992285 0.04783025]\n", "[ 0.04706592 0.01898758 -0.06211906 0.06987362 0.04778498]\n", "[ 0.04698376 0.01894246 -0.0621515 0.06982448 0.04773979]\n", "[ 0.04690175 0.01889742 -0.06218386 0.06977543 0.04769467]\n", "[ 0.04681992 0.01885247 -0.06221615 0.06972646 0.04764964]\n", "[ 0.04673824 0.0188076 -0.06224836 0.06967758 0.04760468]\n", "[ 0.04665673 0.01876281 -0.06228049 0.06962878 0.0475598 ]\n", "[ 0.04657538 0.01871811 -0.06231255 0.06958007 0.04751501]\n", "[ 0.0464942 0.01867349 -0.06234452 0.06953145 0.04747028]\n", "[ 0.04641317 0.01862895 -0.06237642 0.0694829 0.04742564]\n", "[ 0.04633231 0.0185845 -0.06240825 0.06943445 0.04738108]\n", "[ 0.04625161 0.01854013 -0.06244 0.06938608 0.04733659]\n", "[ 0.04617107 0.01849584 -0.06247167 0.06933779 0.04729219]\n", "[ 0.04609069 0.01845164 -0.06250326 0.06928959 0.04724786]\n", "[ 0.04601048 0.01840751 -0.06253478 0.06924147 0.0472036 ]\n", "[ 0.04593042 0.01836347 -0.06256623 0.06919343 0.04715943]\n", "[ 0.04585052 0.01831951 -0.0625976 0.06914548 0.04711533]\n", "[ 0.04577078 0.01827563 -0.06262889 0.06909761 0.04707131]\n", "[ 0.04569121 0.01823184 -0.06266011 0.06904983 0.04702737]\n", "[ 0.04561179 0.01818813 -0.06269125 0.06900213 0.0469835 ]\n", "[ 0.04553253 0.01814449 -0.06272231 0.06895451 0.04693971]\n", "[ 0.04545343 0.01810094 -0.06275331 0.06890698 0.046896 ]\n", "[ 0.04537448 0.01805747 -0.06278422 0.06885953 0.04685236]\n", "[ 0.0452957 0.01801408 -0.06281507 0.06881216 0.0468088 ]\n", "[ 0.04521707 0.01797077 -0.06284583 0.06876487 0.04676532]\n", "[ 0.0451386 0.01792754 -0.06287653 0.06871767 0.04672191]\n", "[ 0.04506028 0.01788439 -0.06290715 0.06867055 0.04667858]\n", "[ 0.04498213 0.01784133 -0.06293769 0.06862351 0.04663532]\n", "[ 0.04490413 0.01779834 -0.06296817 0.06857655 0.04659214]\n", "[ 0.04482628 0.01775543 -0.06299856 0.06852968 0.04654903]\n", "[ 0.04474859 0.0177126 -0.06302889 0.06848289 0.046506 ]\n", "[ 0.04467106 0.01766986 -0.06305914 0.06843617 0.04646305]\n", "[ 0.04459368 0.01762719 -0.06308932 0.06838954 0.04642017]\n", "[ 0.04451645 0.0175846 -0.06311942 0.06834299 0.04637736]\n", "[ 0.04443939 0.01754209 -0.06314945 0.06829652 0.04633463]\n", "[ 0.04436247 0.01749966 -0.06317941 0.06825014 0.04629198]\n", "[ 0.04428571 0.0174573 -0.06320929 0.06820383 0.04624939]\n", "[ 0.0442091 0.01741503 -0.06323911 0.0681576 0.04620689]\n", "[ 0.04413265 0.01737283 -0.06326885 0.06811146 0.04616445]\n", "[ 0.04405634 0.01733072 -0.06329852 0.06806539 0.04612209]\n", "[ 0.0439802 0.01728868 -0.06332811 0.0680194 0.04607981]\n", "[ 0.0439042 0.01724672 -0.06335764 0.0679735 0.0460376 ]\n", "[ 0.04382835 0.01720484 -0.06338709 0.06792767 0.04599546]\n", "[ 0.04375266 0.01716303 -0.06341647 0.06788193 0.04595339]\n", "[ 0.04367712 0.0171213 -0.06344578 0.06783626 0.0459114 ]\n", "[ 0.04360173 0.01707965 -0.06347501 0.06779067 0.04586948]\n", "[ 0.04352649 0.01703808 -0.06350418 0.06774516 0.04582764]\n", "[ 0.0434514 0.01699659 -0.06353327 0.06769973 0.04578586]\n", "[ 0.04337647 0.01695517 -0.0635623 0.06765438 0.04574416]\n", "[ 0.04330168 0.01691383 -0.06359125 0.06760911 0.04570254]\n", "[ 0.04322704 0.01687256 -0.06362013 0.06756391 0.04566098]\n", "[ 0.04315255 0.01683138 -0.06364894 0.0675188 0.0456195 ]\n", "[ 0.04307821 0.01679026 -0.06367768 0.06747376 0.04557809]\n", "[ 0.04300402 0.01674923 -0.06370635 0.0674288 0.04553675]\n", "[ 0.04292998 0.01670827 -0.06373495 0.06738392 0.04549548]\n", "[ 0.04285608 0.01666739 -0.06376348 0.06733912 0.04545429]\n", "[ 0.04278234 0.01662658 -0.06379194 0.06729439 0.04541316]\n", "[ 0.04270874 0.01658585 -0.06382034 0.06724974 0.04537211]\n", "[ 0.04263529 0.01654519 -0.06384866 0.06720517 0.04533113]\n", "[ 0.04256198 0.01650461 -0.06387691 0.06716068 0.04529022]\n", "[ 0.04248883 0.01646411 -0.06390509 0.06711626 0.04524938]\n", "[ 0.04241582 0.01642368 -0.0639332 0.06707192 0.04520861]\n", "[ 0.04234295 0.01638332 -0.06396125 0.06702766 0.04516792]\n", "[ 0.04227023 0.01634304 -0.06398922 0.06698347 0.04512729]\n", "[ 0.04219766 0.01630284 -0.06401713 0.06693936 0.04508673]\n", "[ 0.04212524 0.01626271 -0.06404496 0.06689533 0.04504625]\n", "[ 0.04205295 0.01622265 -0.06407273 0.06685137 0.04500583]\n", "[ 0.04198082 0.01618267 -0.06410043 0.06680749 0.04496549]\n", "[ 0.04190882 0.01614276 -0.06412806 0.06676368 0.04492521]\n", "[ 0.04183698 0.01610293 -0.06415563 0.06671995 0.044885 ]\n", "[ 0.04176527 0.01606317 -0.06418312 0.0666763 0.04484487]\n", "[ 0.04169371 0.01602348 -0.06421055 0.06663272 0.0448048 ]\n", "[ 0.04162229 0.01598387 -0.06423791 0.06658921 0.0447648 ]\n", "[ 0.04155102 0.01594433 -0.0642652 0.06654579 0.04472488]\n", "[ 0.04147989 0.01590486 -0.06429242 0.06650243 0.04468502]\n", "[ 0.0414089 0.01586547 -0.06431958 0.06645915 0.04464523]\n", "[ 0.04133805 0.01582615 -0.06434667 0.06641595 0.04460551]\n", "[ 0.04126735 0.0157869 -0.0643737 0.06637282 0.04456586]\n", "[ 0.04119679 0.01574772 -0.06440065 0.06632976 0.04452627]\n", "[ 0.04112637 0.01570862 -0.06442754 0.06628678 0.04448676]\n", "[ 0.04105609 0.01566959 -0.06445436 0.06624387 0.04444731]\n", "[ 0.04098595 0.01563064 -0.06448112 0.06620104 0.04440793]\n", "[ 0.04091595 0.01559175 -0.06450781 0.06615828 0.04436862]\n", "[ 0.04084609 0.01555294 -0.06453443 0.0661156 0.04432938]\n", "[ 0.04077638 0.01551419 -0.06456099 0.06607298 0.0442902 ]\n", "[ 0.0407068 0.01547552 -0.06458748 0.06603045 0.0442511 ]\n", "[ 0.04063736 0.01543693 -0.0646139 0.06598798 0.04421206]\n", "[ 0.04056806 0.0153984 -0.06464026 0.06594559 0.04417308]\n", "[ 0.0404989 0.01535994 -0.06466656 0.06590327 0.04413418]\n", "[ 0.04042988 0.01532156 -0.06469278 0.06586102 0.04409534]\n", "[ 0.040361 0.01528325 -0.06471895 0.06581885 0.04405657]\n", "[ 0.04029225 0.015245 -0.06474504 0.06577675 0.04401787]\n", "[ 0.04022365 0.01520683 -0.06477108 0.06573472 0.04397923]\n", "[ 0.04015518 0.01516873 -0.06479704 0.06569276 0.04394066]\n", "[ 0.04008685 0.0151307 -0.06482295 0.06565088 0.04390216]\n", "[ 0.04001865 0.01509274 -0.06484878 0.06560906 0.04386372]\n", "[ 0.0399506 0.01505485 -0.06487456 0.06556732 0.04382535]\n", "[ 0.03988267 0.01501703 -0.06490027 0.06552565 0.04378704]\n", "[ 0.03981489 0.01497928 -0.06492591 0.06548406 0.0437488 ]\n", "[ 0.03974724 0.0149416 -0.06495149 0.06544253 0.04371063]\n", "[ 0.03967973 0.01490399 -0.064977 0.06540108 0.04367252]\n", "[ 0.03961235 0.01486645 -0.06500246 0.06535969 0.04363448]\n", "[ 0.03954511 0.01482897 -0.06502784 0.06531838 0.0435965 ]\n", "[ 0.039478 0.01479157 -0.06505317 0.06527714 0.04355859]\n", "[ 0.03941103 0.01475424 -0.06507843 0.06523597 0.04352075]\n", "[ 0.0393442 0.01471697 -0.06510363 0.06519487 0.04348297]\n", "[ 0.03927749 0.01467978 -0.06512876 0.06515384 0.04344525]\n", "[ 0.03921092 0.01464265 -0.06515383 0.06511288 0.0434076 ]\n", "[ 0.03914449 0.01460559 -0.06517884 0.06507199 0.04337001]\n", "[ 0.03907818 0.0145686 -0.06520378 0.06503117 0.04333249]\n", "[ 0.03901202 0.01453168 -0.06522866 0.06499042 0.04329503]\n", "[ 0.03894598 0.01449483 -0.06525348 0.06494974 0.04325764]\n", "[ 0.03888008 0.01445804 -0.06527824 0.06490913 0.04322031]\n", "[ 0.03881431 0.01442132 -0.06530293 0.06486859 0.04318305]\n", "[ 0.03874867 0.01438467 -0.06532756 0.06482812 0.04314585]\n", "[ 0.03868316 0.01434809 -0.06535213 0.06478772 0.04310871]\n", "[ 0.03861778 0.01431158 -0.06537664 0.06474738 0.04307164]\n", "[ 0.03855254 0.01427513 -0.06540108 0.06470712 0.04303463]\n", "[ 0.03848743 0.01423875 -0.06542547 0.06466693 0.04299768]\n", "[ 0.03842245 0.01420244 -0.06544979 0.0646268 0.0429608 ]\n", "[ 0.03835759 0.01416619 -0.06547405 0.06458674 0.04292398]\n", "[ 0.03829287 0.01413001 -0.06549824 0.06454675 0.04288723]\n", "[ 0.03822828 0.0140939 -0.06552238 0.06450683 0.04285053]\n", "[ 0.03816382 0.01405785 -0.06554646 0.06446698 0.0428139 ]\n", "[ 0.03809949 0.01402188 -0.06557047 0.0644272 0.04277734]\n", "[ 0.03803529 0.01398596 -0.06559442 0.06438748 0.04274083]\n", "[ 0.03797121 0.01395012 -0.06561832 0.06434783 0.04270439]\n", "[ 0.03790727 0.01391434 -0.06564215 0.06430825 0.04266801]\n", "[ 0.03784345 0.01387862 -0.06566592 0.06426874 0.04263169]\n", "[ 0.03777977 0.01384297 -0.06568963 0.06422929 0.04259544]\n", "[ 0.03771621 0.01380739 -0.06571328 0.06418991 0.04255924]\n", "[ 0.03765278 0.01377187 -0.06573687 0.0641506 0.04252311]\n", "[ 0.03758947 0.01373642 -0.0657604 0.06411136 0.04248704]\n", "[ 0.03752629 0.01370103 -0.06578387 0.06407218 0.04245103]\n", "[ 0.03746324 0.01366571 -0.06580728 0.06403307 0.04241509]\n", "[ 0.03740032 0.01363046 -0.06583063 0.06399402 0.0423792 ]\n", "[ 0.03733753 0.01359527 -0.06585392 0.06395505 0.04234338]\n", "[ 0.03727486 0.01356014 -0.06587715 0.06391614 0.04230762]\n", "[ 0.03721231 0.01352508 -0.06590032 0.06387729 0.04227192]\n", "[ 0.03714989 0.01349008 -0.06592343 0.06383851 0.04223628]\n", "[ 0.0370876 0.01345515 -0.06594648 0.0637998 0.0422007 ]\n", "[ 0.03702544 0.01342028 -0.06596947 0.06376115 0.04216518]\n", "[ 0.03696339 0.01338548 -0.06599241 0.06372257 0.04212972]\n", "[ 0.03690148 0.01335073 -0.06601528 0.06368405 0.04209432]\n", "[ 0.03683968 0.01331606 -0.0660381 0.0636456 0.04205899]\n", "[ 0.03677802 0.01328145 -0.06606086 0.06360722 0.04202371]\n", "[ 0.03671647 0.0132469 -0.06608355 0.0635689 0.04198849]\n", "[ 0.03665505 0.01321241 -0.06610619 0.06353065 0.04195334]\n", "[ 0.03659376 0.01317799 -0.06612878 0.06349246 0.04191824]\n", "[ 0.03653258 0.01314363 -0.0661513 0.06345433 0.0418832 ]\n", "[ 0.03647153 0.01310934 -0.06617377 0.06341627 0.04184822]\n", "[ 0.03641061 0.01307511 -0.06619618 0.06337828 0.04181331]\n", "[ 0.0363498 0.01304094 -0.06621853 0.06334034 0.04177845]\n", "[ 0.03628912 0.01300683 -0.06624082 0.06330248 0.04174365]\n", "[ 0.03622856 0.01297279 -0.06626305 0.06326468 0.04170891]\n", "[ 0.03616812 0.01293881 -0.06628523 0.06322694 0.04167423]\n", "[ 0.03610781 0.01290489 -0.06630735 0.06318926 0.04163961]\n", "[ 0.03604761 0.01287103 -0.06632941 0.06315165 0.04160504]\n", "[ 0.03598754 0.01283724 -0.06635142 0.06311411 0.04157054]\n", "[ 0.03592759 0.01280351 -0.06637337 0.06307662 0.0415361 ]\n", "[ 0.03586776 0.01276984 -0.06639526 0.0630392 0.04150171]\n", "[ 0.03580805 0.01273623 -0.06641709 0.06300185 0.04146738]\n", "[ 0.03574845 0.01270268 -0.06643887 0.06296456 0.04143311]\n", "[ 0.03568898 0.0126692 -0.06646059 0.06292733 0.0413989 ]\n", "[ 0.03562963 0.01263578 -0.06648226 0.06289016 0.04136475]\n", "[ 0.0355704 0.01260242 -0.06650386 0.06285306 0.04133065]\n", "[ 0.03551129 0.01256912 -0.06652542 0.06281601 0.04129661]\n", "[ 0.0354523 0.01253588 -0.06654691 0.06277904 0.04126263]\n", "[ 0.03539343 0.0125027 -0.06656835 0.06274212 0.04122871]\n", "[ 0.03533467 0.01246958 -0.06658974 0.06270527 0.04119485]\n", "[ 0.03527603 0.01243653 -0.06661106 0.06266848 0.04116104]\n", "[ 0.03521752 0.01240353 -0.06663234 0.06263175 0.04112729]\n", "[ 0.03515912 0.01237059 -0.06665355 0.06259508 0.04109359]\n", "[ 0.03510083 0.01233772 -0.06667471 0.06255847 0.04105996]\n", "[ 0.03504267 0.01230491 -0.06669582 0.06252193 0.04102638]\n", "[ 0.03498462 0.01227215 -0.06671687 0.06248545 0.04099286]\n", "[ 0.03492669 0.01223946 -0.06673787 0.06244903 0.04095939]\n", "[ 0.03486888 0.01220682 -0.06675881 0.06241267 0.04092598]\n", "[ 0.03481118 0.01217425 -0.06677969 0.06237637 0.04089263]\n", "[ 0.0347536 0.01214174 -0.06680052 0.06234014 0.04085934]\n", "[ 0.03469613 0.01210928 -0.0668213 0.06230396 0.0408261 ]\n", "[ 0.03463878 0.01207689 -0.06684202 0.06226785 0.04079292]\n", "[ 0.03458155 0.01204455 -0.06686269 0.0622318 0.04075979]\n", "[ 0.03452443 0.01201228 -0.0668833 0.0621958 0.04072672]\n", "[ 0.03446743 0.01198006 -0.06690386 0.06215987 0.0406937 ]\n", "[ 0.03441054 0.0119479 -0.06692436 0.062124 0.04066074]\n", "[ 0.03435377 0.0119158 -0.06694481 0.06208819 0.04062784]\n", "[ 0.03429711 0.01188376 -0.06696521 0.06205244 0.04059499]\n", "[ 0.03424057 0.01185178 -0.06698555 0.06201675 0.0405622 ]\n", "[ 0.03418414 0.01181986 -0.06700584 0.06198112 0.04052946]\n", "[ 0.03412783 0.01178799 -0.06702607 0.06194555 0.04049678]\n", "[ 0.03407162 0.01175619 -0.06704625 0.06191004 0.04046416]\n", "[ 0.03401554 0.01172444 -0.06706638 0.06187459 0.04043158]\n", "[ 0.03395956 0.01169275 -0.06708645 0.06183919 0.04039907]\n", "[ 0.0339037 0.01166112 -0.06710647 0.06180386 0.04036661]\n", "[ 0.03384795 0.01162954 -0.06712644 0.06176859 0.0403342 ]\n", "[ 0.03379231 0.01159803 -0.06714635 0.06173338 0.04030185]\n", "[ 0.03373679 0.01156657 -0.06716622 0.06169822 0.04026955]\n", "[ 0.03368138 0.01153517 -0.06718603 0.06166313 0.0402373 ]\n", "[ 0.03362608 0.01150383 -0.06720578 0.06162809 0.04020512]\n", "[ 0.03357089 0.01147254 -0.06722548 0.06159311 0.04017298]\n", "[ 0.03351581 0.01144131 -0.06724514 0.06155819 0.0401409 ]\n", "[ 0.03346084 0.01141014 -0.06726473 0.06152333 0.04010887]\n", "[ 0.03340599 0.01137903 -0.06728428 0.06148853 0.0400769 ]\n", "[ 0.03335124 0.01134797 -0.06730377 0.06145379 0.04004498]\n", "[ 0.03329661 0.01131697 -0.06732322 0.0614191 0.04001312]\n", "[ 0.03324209 0.01128602 -0.06734261 0.06138448 0.0399813 ]\n", "[ 0.03318768 0.01125514 -0.06736194 0.06134991 0.03994954]\n", "[ 0.03313337 0.01122431 -0.06738123 0.0613154 0.03991784]\n", "[ 0.03307918 0.01119353 -0.06740047 0.06128094 0.03988619]\n", "[ 0.0330251 0.01116281 -0.06741965 0.06124655 0.03985459]\n", "[ 0.03297112 0.01113215 -0.06743878 0.06121221 0.03982304]\n", "[ 0.03291726 0.01110155 -0.06745786 0.06117793 0.03979155]\n", "[ 0.0328635 0.011071 -0.06747689 0.0611437 0.03976011]\n", "[ 0.03280985 0.0110405 -0.06749587 0.06110954 0.03972872]\n", "[ 0.03275631 0.01101006 -0.06751479 0.06107543 0.03969739]\n", "[ 0.03270288 0.01097968 -0.06753367 0.06104138 0.03966611]\n", "[ 0.03264956 0.01094936 -0.06755249 0.06100738 0.03963488]\n", "[ 0.03259634 0.01091908 -0.06757127 0.06097344 0.0396037 ]\n", "[ 0.03254324 0.01088887 -0.06758999 0.06093956 0.03957258]\n", "[ 0.03249024 0.01085871 -0.06760866 0.06090573 0.0395415 ]\n", "[ 0.03243734 0.0108286 -0.06762729 0.06087197 0.03951048]\n", "[ 0.03238456 0.01079855 -0.06764586 0.06083825 0.03947951]\n", "[ 0.03233188 0.01076855 -0.06766438 0.0608046 0.0394486 ]\n", "[ 0.03227931 0.01073861 -0.06768285 0.060771 0.03941773]\n", "[ 0.03222684 0.01070872 -0.06770127 0.06073745 0.03938692]\n", "[ 0.03217448 0.01067889 -0.06771964 0.06070396 0.03935616]\n", "[ 0.03212223 0.01064911 -0.06773797 0.06067053 0.03932545]\n", "[ 0.03207008 0.01061939 -0.06775624 0.06063715 0.03929479]\n", "[ 0.03201804 0.01058972 -0.06777446 0.06060383 0.03926418]\n", "[ 0.0319661 0.01056011 -0.06779263 0.06057057 0.03923362]\n", "[ 0.03191427 0.01053054 -0.06781076 0.06053736 0.03920312]\n", "[ 0.03186254 0.01050104 -0.06782883 0.0605042 0.03917266]\n", "[ 0.03181092 0.01047158 -0.06784685 0.0604711 0.03914226]\n", "[ 0.0317594 0.01044218 -0.06786483 0.06043806 0.03911191]\n", "[ 0.03170799 0.01041284 -0.06788276 0.06040507 0.03908161]\n", "[ 0.03165668 0.01038355 -0.06790063 0.06037213 0.03905135]\n", "[ 0.03160547 0.01035431 -0.06791846 0.06033925 0.03902115]\n", "[ 0.03155437 0.01032512 -0.06793624 0.06030642 0.038991 ]\n", "[ 0.03150337 0.01029599 -0.06795397 0.06027365 0.0389609 ]\n", "[ 0.03145248 0.01026691 -0.06797165 0.06024094 0.03893085]\n", "[ 0.03140168 0.01023788 -0.06798929 0.06020827 0.03890085]\n", "[ 0.03135099 0.01020891 -0.06800687 0.06017567 0.0388709 ]\n", "[ 0.03130041 0.01017999 -0.06802441 0.06014311 0.038841 ]\n", "[ 0.03124992 0.01015112 -0.0680419 0.06011061 0.03881115]\n", "[ 0.03119954 0.0101223 -0.06805934 0.06007816 0.03878135]\n", "[ 0.03114926 0.01009354 -0.06807673 0.06004577 0.0387516 ]\n", "[ 0.03109908 0.01006483 -0.06809408 0.06001343 0.03872189]\n", "[ 0.03104901 0.01003617 -0.06811137 0.05998115 0.03869224]\n", "[ 0.03099903 0.01000756 -0.06812862 0.05994892 0.03866264]\n", "[ 0.03094916 0.00997901 -0.06814582 0.05991674 0.03863309]\n", "[ 0.03089939 0.00995051 -0.06816298 0.05988461 0.03860358]\n", "[ 0.03084972 0.00992206 -0.06818008 0.05985254 0.03857412]\n", "[ 0.03080015 0.00989366 -0.06819714 0.05982052 0.03854472]\n", "[ 0.03075068 0.00986531 -0.06821415 0.05978856 0.03851536]\n", "[ 0.03070131 0.00983702 -0.06823112 0.05975664 0.03848605]\n", "[ 0.03065204 0.00980877 -0.06824804 0.05972478 0.03845679]\n", "[ 0.03060287 0.00978058 -0.06826491 0.05969297 0.03842758]\n", "[ 0.0305538 0.00975244 -0.06828173 0.05966122 0.03839841]\n", "[ 0.03050483 0.00972435 -0.06829851 0.05962952 0.0383693 ]\n", "[ 0.03045596 0.00969631 -0.06831524 0.05959787 0.03834023]\n", "[ 0.03040718 0.00966832 -0.06833192 0.05956627 0.03831121]\n", "[ 0.03035851 0.00964038 -0.06834856 0.05953472 0.03828224]\n", "[ 0.03030994 0.0096125 -0.06836515 0.05950323 0.03825332]\n", "[ 0.03026146 0.00958466 -0.06838169 0.05947179 0.03822445]\n", "[ 0.03021308 0.00955688 -0.06839819 0.0594404 0.03819562]\n", "[ 0.03016481 0.00952914 -0.06841464 0.05940906 0.03816684]\n", "[ 0.03011662 0.00950146 -0.06843105 0.05937777 0.03813811]\n", "[ 0.03006854 0.00947382 -0.06844741 0.05934654 0.03810942]\n", "[ 0.03002055 0.00944624 -0.06846372 0.05931535 0.03808079]\n", "[ 0.02997267 0.00941871 -0.06847999 0.05928422 0.0380522 ]\n", "[ 0.02992488 0.00939122 -0.06849621 0.05925314 0.03802366]\n", "[ 0.02987718 0.00936379 -0.06851239 0.05922211 0.03799516]\n", "[ 0.02982958 0.00933641 -0.06852852 0.05919113 0.03796672]\n", "[ 0.02978208 0.00930907 -0.0685446 0.0591602 0.03793831]\n", "[ 0.02973468 0.00928179 -0.06856065 0.05912933 0.03790996]\n", "[ 0.02968737 0.00925455 -0.06857664 0.0590985 0.03788165]\n", "[ 0.02964016 0.00922737 -0.06859259 0.05906773 0.03785339]\n", "[ 0.02959304 0.00920023 -0.06860849 0.059037 0.03782518]\n", "[ 0.02954602 0.00917314 -0.06862435 0.05900633 0.03779701]\n", "[ 0.0294991 0.00914611 -0.06864017 0.0589757 0.03776889]\n", "[ 0.02945227 0.00911912 -0.06865594 0.05894513 0.03774082]\n", "[ 0.02940554 0.00909218 -0.06867167 0.0589146 0.03771279]\n", "[ 0.0293589 0.00906528 -0.06868735 0.05888413 0.03768481]\n", "[ 0.02931235 0.00903844 -0.06870298 0.05885371 0.03765687]\n", "[ 0.0292659 0.00901165 -0.06871857 0.05882333 0.03762898]\n", "[ 0.02921955 0.0089849 -0.06873412 0.05879301 0.03760114]\n", "[ 0.02917329 0.00895821 -0.06874963 0.05876274 0.03757334]\n", "[ 0.02912712 0.00893156 -0.06876508 0.05873251 0.03754559]\n", "[ 0.02908105 0.00890496 -0.0687805 0.05870234 0.03751788]\n", "[ 0.02903507 0.00887841 -0.06879587 0.05867221 0.03749022]\n", "[ 0.02898918 0.0088519 -0.0688112 0.05864214 0.03746261]\n", "[ 0.02894339 0.00882545 -0.06882648 0.05861211 0.03743504]\n", "[ 0.02889769 0.00879904 -0.06884172 0.05858213 0.03740751]\n", "[ 0.02885208 0.00877268 -0.06885692 0.0585522 0.03738003]\n", "[ 0.02880657 0.00874637 -0.06887207 0.05852232 0.0373526 ]\n", "[ 0.02876115 0.0087201 -0.06888718 0.05849249 0.03732521]\n", "[ 0.02871582 0.00869389 -0.06890224 0.05846271 0.03729787]\n", "[ 0.02867058 0.00866772 -0.06891726 0.05843298 0.03727057]\n", "[ 0.02862544 0.00864159 -0.06893224 0.05840329 0.03724331]\n", "[ 0.02858038 0.00861552 -0.06894718 0.05837365 0.0372161 ]\n", "[ 0.02853542 0.00858949 -0.06896207 0.05834407 0.03718894]\n", "[ 0.02849055 0.00856351 -0.06897692 0.05831453 0.03716182]\n", "[ 0.02844577 0.00853758 -0.06899173 0.05828504 0.03713474]\n", "[ 0.02840109 0.00851169 -0.06900649 0.05825559 0.03710771]\n", "[ 0.02835649 0.00848585 -0.06902121 0.0582262 0.03708072]\n", "[ 0.02831198 0.00846006 -0.06903589 0.05819685 0.03705378]\n", "[ 0.02826757 0.00843431 -0.06905053 0.05816755 0.03702688]\n", "[ 0.02822325 0.00840861 -0.06906512 0.0581383 0.03700002]\n", "[ 0.02817901 0.00838296 -0.06907967 0.05810909 0.03697321]\n", "[ 0.02813487 0.00835735 -0.06909418 0.05807994 0.03694645]\n", "[ 0.02809081 0.00833179 -0.06910865 0.05805083 0.03691972]\n", "[ 0.02804685 0.00830627 -0.06912307 0.05802176 0.03689304]\n", "[ 0.02800297 0.0082808 -0.06913745 0.05799275 0.0368664 ]\n", "[ 0.02795919 0.00825538 -0.06915179 0.05796378 0.03683981]\n", "[ 0.02791549 0.00823 -0.06916609 0.05793486 0.03681326]\n", "[ 0.02787189 0.00820467 -0.06918035 0.05790599 0.03678676]\n", "[ 0.02782837 0.00817939 -0.06919456 0.05787716 0.03676029]\n", "[ 0.02778494 0.00815415 -0.06920874 0.05784838 0.03673387]\n", "[ 0.0277416 0.00812895 -0.06922287 0.05781965 0.0367075 ]\n", "[ 0.02769834 0.00810381 -0.06923696 0.05779096 0.03668116]\n", "[ 0.02765518 0.0080787 -0.06925101 0.05776232 0.03665487]\n", "[ 0.0276121 0.00805364 -0.06926502 0.05773373 0.03662863]\n", "[ 0.02756911 0.00802863 -0.06927898 0.05770518 0.03660242]\n", "[ 0.02752621 0.00800366 -0.06929291 0.05767668 0.03657626]\n", "[ 0.0274834 0.00797874 -0.06930679 0.05764823 0.03655014]\n", "[ 0.02744067 0.00795386 -0.06932063 0.05761982 0.03652406]\n", "[ 0.02739803 0.00792903 -0.06933444 0.05759146 0.03649803]\n", "[ 0.02735548 0.00790424 -0.0693482 0.05756314 0.03647203]\n", "[ 0.02731302 0.0078795 -0.06936192 0.05753487 0.03644608]\n", "[ 0.02727064 0.0078548 -0.0693756 0.05750665 0.03642018]\n", "[ 0.02722834 0.00783015 -0.06938924 0.05747847 0.03639431]\n", "[ 0.02718614 0.00780554 -0.06940284 0.05745034 0.03636849]\n", "[ 0.02714402 0.00778097 -0.0694164 0.05742225 0.0363427 ]\n", "[ 0.02710198 0.00775645 -0.06942992 0.0573942 0.03631696]\n", "[ 0.02706004 0.00773197 -0.06944339 0.05736621 0.03629127]\n", "[ 0.02701817 0.00770754 -0.06945683 0.05733826 0.03626561]\n", "[ 0.0269764 0.00768315 -0.06947023 0.05731035 0.03624 ]\n", "[ 0.0269347 0.00765881 -0.06948359 0.05728249 0.03621442]\n", "[ 0.0268931 0.00763451 -0.06949691 0.05725467 0.03618889]\n", "[ 0.02685157 0.00761025 -0.06951018 0.0572269 0.0361634 ]\n", "[ 0.02681014 0.00758604 -0.06952342 0.05719917 0.03613795]\n", "[ 0.02676879 0.00756187 -0.06953662 0.05717149 0.03611254]\n", "[ 0.02672752 0.00753774 -0.06954978 0.05714385 0.03608718]\n", "[ 0.02668633 0.00751366 -0.0695629 0.05711626 0.03606185]\n", "[ 0.02664523 0.00748962 -0.06957598 0.05708871 0.03603657]\n", "[ 0.02660422 0.00746562 -0.06958902 0.05706121 0.03601132]\n", "[ 0.02656329 0.00744167 -0.06960202 0.05703375 0.03598612]\n", "[ 0.02652244 0.00741776 -0.06961498 0.05700633 0.03596096]\n", "[ 0.02648167 0.00739389 -0.06962791 0.05697896 0.03593584]\n", "[ 0.02644099 0.00737006 -0.06964079 0.05695163 0.03591076]\n", "[ 0.02640039 0.00734628 -0.06965364 0.05692435 0.03588572]\n", "[ 0.02635988 0.00732254 -0.06966644 0.05689711 0.03586072]\n", "[ 0.02631945 0.00729885 -0.06967921 0.05686991 0.03583576]\n", "[ 0.0262791 0.00727519 -0.06969194 0.05684276 0.03581084]\n", "[ 0.02623883 0.00725158 -0.06970463 0.05681565 0.03578596]\n", "[ 0.02619864 0.00722801 -0.06971728 0.05678858 0.03576112]\n", "[ 0.02615854 0.00720449 -0.06972989 0.05676156 0.03573632]\n", "[ 0.02611852 0.007181 -0.06974247 0.05673458 0.03571156]\n", "[ 0.02607858 0.00715756 -0.069755 0.05670765 0.03568684]\n", "[ 0.02603872 0.00713416 -0.0697675 0.05668076 0.03566216]\n", "[ 0.02599895 0.0071108 -0.06977996 0.05665391 0.03563752]\n", "[ 0.02595925 0.00708749 -0.06979238 0.0566271 0.03561293]\n", "[ 0.02591964 0.00706421 -0.06980476 0.05660034 0.03558837]\n", "[ 0.02588011 0.00704098 -0.06981711 0.05657362 0.03556384]\n", "[ 0.02584066 0.00701779 -0.06982942 0.05654694 0.03553936]\n", "[ 0.02580129 0.00699464 -0.06984169 0.05652031 0.03551492]\n", "[ 0.025762 0.00697153 -0.06985392 0.05649372 0.03549052]\n", "[ 0.02572279 0.00694847 -0.06986611 0.05646717 0.03546616]\n", "[ 0.02568366 0.00692544 -0.06987827 0.05644066 0.03544183]\n", "[ 0.02564461 0.00690246 -0.06989039 0.05641419 0.03541755]\n", "[ 0.02560564 0.00687952 -0.06990247 0.05638777 0.0353933 ]\n", "[ 0.02556675 0.00685661 -0.06991451 0.05636139 0.0353691 ]\n", "[ 0.02552794 0.00683375 -0.06992652 0.05633505 0.03534493]\n", "[ 0.02548921 0.00681094 -0.06993849 0.05630876 0.0353208 ]\n", "[ 0.02545056 0.00678816 -0.06995042 0.0562825 0.03529671]\n", "[ 0.02541199 0.00676542 -0.06996232 0.05625629 0.03527266]\n", "[ 0.02537349 0.00674272 -0.06997417 0.05623012 0.03524864]\n", "[ 0.02533508 0.00672007 -0.069986 0.05620399 0.03522467]\n", "[ 0.02529675 0.00669745 -0.06999778 0.05617791 0.03520073]\n", "[ 0.02525849 0.00667488 -0.07000953 0.05615186 0.03517683]\n", "[ 0.02522031 0.00665234 -0.07002124 0.05612586 0.03515297]\n", "[ 0.02518221 0.00662985 -0.07003291 0.0560999 0.03512915]\n", "[ 0.02514419 0.00660739 -0.07004455 0.05607397 0.03510537]\n", "[ 0.02510624 0.00658498 -0.07005615 0.05604809 0.03508162]\n", "[ 0.02506838 0.0065626 -0.07006772 0.05602226 0.03505791]\n", "[ 0.02503059 0.00654027 -0.07007924 0.05599646 0.03503424]\n", "[ 0.02499288 0.00651798 -0.07009074 0.0559707 0.03501061]\n", "[ 0.02495524 0.00649572 -0.07010219 0.05594499 0.03498702]\n", "[ 0.02491769 0.00647351 -0.07011361 0.05591931 0.03496346]\n", "[ 0.02488021 0.00645133 -0.070125 0.05589368 0.03493994]\n", "[ 0.02484281 0.0064292 -0.07013634 0.05586808 0.03491646]\n", "[ 0.02480548 0.0064071 -0.07014766 0.05584253 0.03489302]\n", "[ 0.02476823 0.00638505 -0.07015893 0.05581702 0.03486961]\n", "[ 0.02473106 0.00636303 -0.07017017 0.05579155 0.03484624]\n", "[ 0.02469396 0.00634105 -0.07018138 0.05576612 0.03482291]\n", "[ 0.02465694 0.00631912 -0.07019254 0.05574073 0.03479962]\n", "[ 0.02462 0.00629722 -0.07020368 0.05571537 0.03477636]\n", "[ 0.02458313 0.00627536 -0.07021478 0.05569006 0.03475314]\n", "[ 0.02454633 0.00625354 -0.07022584 0.05566479 0.03472995]\n", "[ 0.02450962 0.00623176 -0.07023686 0.05563956 0.03470681]\n", "[ 0.02447298 0.00621001 -0.07024786 0.05561437 0.0346837 ]\n", "[ 0.02443641 0.00618831 -0.07025881 0.05558922 0.03466062]\n", "[ 0.02439992 0.00616665 -0.07026973 0.05556411 0.03463759]\n", "[ 0.0243635 0.00614502 -0.07028062 0.05553904 0.03461459]\n", "[ 0.02432716 0.00612343 -0.07029147 0.05551401 0.03459162]\n", "[ 0.02429089 0.00610188 -0.07030229 0.05548902 0.0345687 ]\n", "[ 0.0242547 0.00608037 -0.07031307 0.05546406 0.03454581]\n", "[ 0.02421858 0.0060589 -0.07032381 0.05543915 0.03452295]\n", "[ 0.02418254 0.00603746 -0.07033453 0.05541428 0.03450013]\n", "[ 0.02414656 0.00601607 -0.0703452 0.05538944 0.03447735]\n", "[ 0.02411067 0.00599471 -0.07035585 0.05536465 0.03445461]\n", "[ 0.02407485 0.00597339 -0.07036645 0.05533989 0.0344319 ]\n", "[ 0.0240391 0.00595211 -0.07037703 0.05531517 0.03440922]\n", "[ 0.02400342 0.00593086 -0.07038757 0.05529049 0.03438658]\n", "[ 0.02396782 0.00590966 -0.07039807 0.05526585 0.03436398]\n", "[ 0.02393229 0.00588849 -0.07040854 0.05524125 0.03434142]\n", "[ 0.02389684 0.00586736 -0.07041898 0.05521669 0.03431889]\n", "[ 0.02386145 0.00584626 -0.07042938 0.05519217 0.03429639]\n", "[ 0.02382614 0.00582521 -0.07043975 0.05516768 0.03427393]\n", "[ 0.02379091 0.00580419 -0.07045008 0.05514324 0.03425151]\n", "[ 0.02375574 0.00578321 -0.07046038 0.05511883 0.03422912]\n", "[ 0.02372065 0.00576227 -0.07047065 0.05509446 0.03420677]\n", "[ 0.02368563 0.00574136 -0.07048088 0.05507013 0.03418445]\n", "[ 0.02365068 0.00572049 -0.07049108 0.05504583 0.03416217]\n", "[ 0.0236158 0.00569966 -0.07050125 0.05502158 0.03413992]\n", "[ 0.023581 0.00567887 -0.07051138 0.05499736 0.03411771]\n", "[ 0.02354627 0.00565811 -0.07052148 0.05497318 0.03409553]\n", "[ 0.02351161 0.00563739 -0.07053154 0.05494904 0.03407339]\n", "[ 0.02347702 0.0056167 -0.07054157 0.05492494 0.03405128]\n", "[ 0.0234425 0.00559606 -0.07055157 0.05490087 0.03402921]\n", "[ 0.02340805 0.00557544 -0.07056154 0.05487684 0.03400717]\n", "[ 0.02337367 0.00555487 -0.07057147 0.05485285 0.03398517]\n", "[ 0.02333937 0.00553433 -0.07058137 0.0548289 0.0339632 ]\n", "[ 0.02330513 0.00551383 -0.07059123 0.05480499 0.03394127]\n", "[ 0.02327097 0.00549337 -0.07060107 0.05478111 0.03391937]\n", "[ 0.02323687 0.00547294 -0.07061087 0.05475727 0.0338975 ]\n", "[ 0.02320285 0.00545255 -0.07062063 0.05473347 0.03387567]\n", "[ 0.0231689 0.00543219 -0.07063037 0.0547097 0.03385388]\n", "[ 0.02313501 0.00541187 -0.07064007 0.05468597 0.03383211]\n", "[ 0.0231012 0.00539159 -0.07064974 0.05466228 0.03381039]\n", "[ 0.02306745 0.00537134 -0.07065937 0.05463862 0.03378869]\n", "[ 0.02303378 0.00535113 -0.07066898 0.05461501 0.03376703]\n", "[ 0.02300017 0.00533095 -0.07067855 0.05459142 0.03374541]\n", "[ 0.02296664 0.00531081 -0.07068809 0.05456788 0.03372381]\n", "[ 0.02293317 0.00529071 -0.07069759 0.05454437 0.03370226]\n", "[ 0.02289977 0.00527064 -0.07070707 0.0545209 0.03368073]\n", "[ 0.02286644 0.00525061 -0.07071651 0.05449747 0.03365924]\n", "[ 0.02283318 0.00523061 -0.07072592 0.05447407 0.03363778]\n", "[ 0.02279999 0.00521065 -0.0707353 0.05445071 0.03361636]\n", "[ 0.02276687 0.00519072 -0.07074464 0.05442738 0.03359497]\n", "[ 0.02273381 0.00517083 -0.07075396 0.05440409 0.03357362]\n", "[ 0.02270083 0.00515097 -0.07076324 0.05438084 0.03355229]\n", "[ 0.02266791 0.00513115 -0.07077249 0.05435762 0.033531 ]\n", "[ 0.02263506 0.00511136 -0.07078171 0.05433444 0.03350975]\n", "[ 0.02260228 0.00509161 -0.0707909 0.0543113 0.03348852]\n", "[ 0.02256956 0.0050719 -0.07080005 0.05428819 0.03346733]\n", "[ 0.02253692 0.00505222 -0.07080918 0.05426512 0.03344618]\n", "[ 0.02250434 0.00503257 -0.07081827 0.05424208 0.03342505]\n", "[ 0.02247182 0.00501296 -0.07082733 0.05421908 0.03340396]\n", "[ 0.02243938 0.00499338 -0.07083636 0.05419611 0.0333829 ]\n", "[ 0.022407 0.00497384 -0.07084536 0.05417318 0.03336188]\n", "[ 0.02237469 0.00495433 -0.07085432 0.05415029 0.03334088]\n", "[ 0.02234244 0.00493486 -0.07086326 0.05412743 0.03331992]\n", "[ 0.02231027 0.00491542 -0.07087216 0.05410461 0.033299 ]\n", "[ 0.02227815 0.00489601 -0.07088104 0.05408182 0.0332781 ]\n", "[ 0.02224611 0.00487664 -0.07088988 0.05405906 0.03325724]\n", "[ 0.02221413 0.00485731 -0.07089869 0.05403635 0.03323641]\n", "[ 0.02218222 0.00483801 -0.07090747 0.05401366 0.03321561]\n", "[ 0.02215037 0.00481874 -0.07091622 0.05399101 0.03319485]\n", "[ 0.02211859 0.0047995 -0.07092494 0.0539684 0.03317412]\n", "[ 0.02208687 0.0047803 -0.07093363 0.05394582 0.03315342]\n", "[ 0.02205523 0.00476114 -0.07094229 0.05392328 0.03313275]\n", "[ 0.02202364 0.00474201 -0.07095092 0.05390077 0.03311211]\n", "[ 0.02199212 0.00472291 -0.07095951 0.0538783 0.03309151]\n", "[ 0.02196067 0.00470384 -0.07096808 0.05385586 0.03307093]\n", "[ 0.02192928 0.00468481 -0.07097662 0.05383346 0.03305039]\n", "[ 0.02189796 0.00466582 -0.07098512 0.05381109 0.03302988]\n", "[ 0.0218667 0.00464685 -0.0709936 0.05378875 0.03300941]\n", "[ 0.0218355 0.00462792 -0.07100204 0.05376645 0.03298896]\n", "[ 0.02180438 0.00460902 -0.07101046 0.05374418 0.03296855]\n", "[ 0.02177331 0.00459016 -0.07101884 0.05372195 0.03294817]\n", "[ 0.02174231 0.00457133 -0.0710272 0.05369975 0.03292782]\n", "[ 0.02171137 0.00455253 -0.07103552 0.05367759 0.0329075 ]\n", "[ 0.0216805 0.00453377 -0.07104382 0.05365546 0.03288721]\n", "[ 0.02164969 0.00451504 -0.07105208 0.05363336 0.03286695]\n", "[ 0.02161895 0.00449634 -0.07106032 0.0536113 0.03284673]\n", "[ 0.02158827 0.00447767 -0.07106852 0.05358927 0.03282653]\n", "[ 0.02155765 0.00445904 -0.0710767 0.05356727 0.03280637]\n", "[ 0.0215271 0.00444044 -0.07108485 0.05354531 0.03278624]\n", "[ 0.02149661 0.00442187 -0.07109296 0.05352339 0.03276614]\n", "[ 0.02146618 0.00440334 -0.07110105 0.05350149 0.03274607]\n", "[ 0.02143582 0.00438484 -0.07110911 0.05347963 0.03272603]\n", "[ 0.02140552 0.00436637 -0.07111714 0.05345781 0.03270602]\n", "[ 0.02137528 0.00434793 -0.07112514 0.05343601 0.03268605]\n", "[ 0.0213451 0.00432953 -0.07113311 0.05341425 0.0326661 ]\n", "[ 0.02131499 0.00431116 -0.07114105 0.05339253 0.03264618]\n", "[ 0.02128494 0.00429282 -0.07114896 0.05337083 0.0326263 ]\n", "[ 0.02125495 0.00427451 -0.07115685 0.05334917 0.03260644]\n", "[ 0.02122503 0.00425624 -0.0711647 0.05332754 0.03258662]\n", "[ 0.02119516 0.00423799 -0.07117252 0.05330595 0.03256683]\n", "[ 0.02116536 0.00421978 -0.07118032 0.05328439 0.03254706]\n", "[ 0.02113562 0.0042016 -0.07118809 0.05326286 0.03252733]\n", "[ 0.02110594 0.00418346 -0.07119583 0.05324137 0.03250763]\n", "[ 0.02107633 0.00416534 -0.07120354 0.0532199 0.03248796]\n", "[ 0.02104677 0.00414726 -0.07121122 0.05319847 0.03246832]\n", "[ 0.02101728 0.0041292 -0.07121887 0.05317708 0.0324487 ]\n", "[ 0.02098784 0.00411118 -0.07122649 0.05315571 0.03242912]\n", "[ 0.02095847 0.0040932 -0.07123409 0.05313438 0.03240957]\n", "[ 0.02092916 0.00407524 -0.07124166 0.05311308 0.03239005]\n", "[ 0.02089991 0.00405731 -0.07124919 0.05309181 0.03237056]\n", "[ 0.02087073 0.00403942 -0.0712567 0.05307058 0.03235109]\n", "[ 0.0208416 0.00402156 -0.07126419 0.05304937 0.03233166]\n", "[ 0.02081253 0.00400373 -0.07127164 0.0530282 0.03231226]\n", "[ 0.02078352 0.00398593 -0.07127907 0.05300706 0.03229289]\n", "[ 0.02075458 0.00396816 -0.07128646 0.05298596 0.03227354]\n", "[ 0.02072569 0.00395042 -0.07129383 0.05296488 0.03225423]\n", "[ 0.02069686 0.00393271 -0.07130118 0.05294384 0.03223494]\n", "[ 0.0206681 0.00391504 -0.07130849 0.05292283 0.03221569]\n", "[ 0.02063939 0.00389739 -0.07131577 0.05290185 0.03219646]\n", "[ 0.02061074 0.00387978 -0.07132303 0.0528809 0.03217727]\n", "[ 0.02058216 0.0038622 -0.07133026 0.05285999 0.0321581 ]\n", "[ 0.02055363 0.00384465 -0.07133747 0.05283911 0.03213896]\n", "[ 0.02052516 0.00382712 -0.07134464 0.05281825 0.03211985]\n", "[ 0.02049675 0.00380963 -0.07135179 0.05279743 0.03210077]\n", "[ 0.0204684 0.00379217 -0.07135891 0.05277664 0.03208172]\n", "[ 0.02044011 0.00377474 -0.071366 0.05275589 0.0320627 ]\n", "[ 0.02041188 0.00375734 -0.07137306 0.05273516 0.03204371]\n", "[ 0.02038371 0.00373998 -0.0713801 0.05271447 0.03202474]\n", "[ 0.02035559 0.00372264 -0.07138711 0.0526938 0.03200581]\n", "[ 0.02032754 0.00370533 -0.0713941 0.05267317 0.0319869 ]\n", "[ 0.02029954 0.00368805 -0.07140105 0.05265257 0.03196803]\n", "[ 0.0202716 0.0036708 -0.07140798 0.052632 0.03194918]\n", "[ 0.02024372 0.00365359 -0.07141488 0.05261146 0.03193036]\n", "[ 0.0202159 0.0036364 -0.07142176 0.05259095 0.03191156]\n", "[ 0.02018813 0.00361924 -0.0714286 0.05257047 0.0318928 ]\n", "[ 0.02016042 0.00360211 -0.07143542 0.05255003 0.03187407]\n", "[ 0.02013277 0.00358502 -0.07144222 0.05252961 0.03185536]\n", "[ 0.02010518 0.00356795 -0.07144898 0.05250923 0.03183668]\n", "[ 0.02007765 0.00355091 -0.07145572 0.05248887 0.03181803]\n", "[ 0.02005017 0.0035339 -0.07146244 0.05246855 0.03179941]\n", "[ 0.02002275 0.00351692 -0.07146912 0.05244825 0.03178082]\n", "[ 0.01999539 0.00349998 -0.07147578 0.05242799 0.03176225]\n", "[ 0.01996809 0.00348306 -0.07148242 0.05240776 0.03174371]\n", "[ 0.01994084 0.00346617 -0.07148902 0.05238756 0.0317252 ]\n", "[ 0.01991365 0.00344931 -0.0714956 0.05236739 0.03170672]\n", "[ 0.01988651 0.00343247 -0.07150216 0.05234724 0.03168827]\n", "[ 0.01985943 0.00341567 -0.07150869 0.05232713 0.03166984]\n", "[ 0.01983241 0.0033989 -0.07151519 0.05230705 0.03165144]\n", "[ 0.01980545 0.00338216 -0.07152166 0.052287 0.03163307]\n", "[ 0.01977854 0.00336544 -0.07152811 0.05226698 0.03161473]\n", "[ 0.01975169 0.00334876 -0.07153454 0.05224699 0.03159642]\n", "[ 0.01972489 0.0033321 -0.07154093 0.05222703 0.03157813]\n", "[ 0.01969815 0.00331548 -0.0715473 0.05220709 0.03155987]\n", "[ 0.01967147 0.00329888 -0.07155365 0.05218719 0.03154164]\n", "[ 0.01964484 0.00328231 -0.07155997 0.05216732 0.03152343]\n", "[ 0.01961827 0.00326577 -0.07156626 0.05214748 0.03150525]\n", "[ 0.01959175 0.00324926 -0.07157253 0.05212767 0.0314871 ]\n", "[ 0.01956529 0.00323277 -0.07157877 0.05210788 0.03146898]\n", "[ 0.01953888 0.00321632 -0.07158498 0.05208813 0.03145088]\n", "[ 0.01951253 0.00319989 -0.07159117 0.05206841 0.03143282]\n", "[ 0.01948623 0.0031835 -0.07159734 0.05204871 0.03141477]\n", "[ 0.01945999 0.00316713 -0.07160348 0.05202905 0.03139676]\n", "[ 0.0194338 0.00315079 -0.07160959 0.05200941 0.03137877]\n", "[ 0.01940767 0.00313448 -0.07161568 0.0519898 0.03136081]\n", "[ 0.0193816 0.00311819 -0.07162174 0.05197022 0.03134288]\n", "[ 0.01935557 0.00310194 -0.07162778 0.05195068 0.03132497]\n", "[ 0.01932961 0.00308571 -0.07163379 0.05193116 0.03130709]\n", "[ 0.01930369 0.00306951 -0.07163978 0.05191166 0.03128924]\n", "[ 0.01927783 0.00305334 -0.07164574 0.0518922 0.03127141]\n", "[ 0.01925203 0.0030372 -0.07165167 0.05187277 0.03125361]\n", "[ 0.01922628 0.00302108 -0.07165759 0.05185337 0.03123584]\n", "[ 0.01920058 0.003005 -0.07166347 0.05183399 0.03121809]\n", "[ 0.01917494 0.00298894 -0.07166933 0.05181464 0.03120037]\n", "[ 0.01914935 0.00297291 -0.07167517 0.05179533 0.03118268]\n", "[ 0.01912381 0.0029569 -0.07168098 0.05177604 0.03116501]\n", "[ 0.01909833 0.00294093 -0.07168677 0.05175678 0.03114737]\n", "[ 0.0190729 0.00292498 -0.07169253 0.05173754 0.03112975]\n", "[ 0.01904752 0.00290906 -0.07169827 0.05171834 0.03111216]\n", "[ 0.0190222 0.00289317 -0.07170398 0.05169917 0.0310946 ]\n", "[ 0.01899693 0.0028773 -0.07170966 0.05168002 0.03107707]\n", "[ 0.01897171 0.00286146 -0.07171533 0.0516609 0.03105955]\n", "[ 0.01894655 0.00284565 -0.07172097 0.05164181 0.03104207]\n", "[ 0.01892144 0.00282987 -0.07172658 0.05162275 0.03102461]\n", "[ 0.01889638 0.00281412 -0.07173217 0.05160371 0.03100718]\n", "[ 0.01887138 0.00279839 -0.07173773 0.05158471 0.03098977]\n", "[ 0.01884642 0.00278269 -0.07174327 0.05156573 0.03097239]\n", "[ 0.01882152 0.00276701 -0.07174879 0.05154678 0.03095504]\n", "[ 0.01879667 0.00275137 -0.07175428 0.05152786 0.03093771]\n", "[ 0.01877188 0.00273575 -0.07175975 0.05150896 0.03092041]\n", "[ 0.01874713 0.00272015 -0.07176519 0.0514901 0.03090313]\n", "[ 0.01872244 0.00270459 -0.07177061 0.05147126 0.03088588]\n", "[ 0.0186978 0.00268905 -0.07177601 0.05145245 0.03086865]\n", "[ 0.01867321 0.00267354 -0.07178138 0.05143366 0.03085145]\n", "[ 0.01864867 0.00265805 -0.07178673 0.05141491 0.03083427]\n", "[ 0.01862419 0.00264259 -0.07179205 0.05139618 0.03081712]\n", "[ 0.01859976 0.00262716 -0.07179735 0.05137748 0.0308 ]\n", "[ 0.01857537 0.00261176 -0.07180263 0.0513588 0.0307829 ]\n", "[ 0.01855104 0.00259638 -0.07180788 0.05134016 0.03076582]\n", "[ 0.01852676 0.00258102 -0.07181311 0.05132154 0.03074877]\n", "[ 0.01850253 0.0025657 -0.07181831 0.05130295 0.03073175]\n", "[ 0.01847835 0.0025504 -0.07182349 0.05128438 0.03071475]\n", "[ 0.01845423 0.00253513 -0.07182865 0.05126585 0.03069778]\n", "[ 0.01843015 0.00251988 -0.07183378 0.05124734 0.03068083]\n", "[ 0.01840612 0.00250466 -0.0718389 0.05122885 0.0306639 ]\n", "[ 0.01838215 0.00248946 -0.07184398 0.0512104 0.03064701]\n", "[ 0.01835822 0.0024743 -0.07184905 0.05119197 0.03063013]\n", "[ 0.01833435 0.00245915 -0.07185409 0.05117357 0.03061328]\n", "[ 0.01831052 0.00244404 -0.0718591 0.05115519 0.03059646]\n", "[ 0.01828675 0.00242895 -0.0718641 0.05113684 0.03057966]\n", "[ 0.01826303 0.00241389 -0.07186907 0.05111852 0.03056288]\n", "[ 0.01823935 0.00239885 -0.07187401 0.05110023 0.03054613]\n", "[ 0.01821573 0.00238384 -0.07187894 0.05108196 0.03052941]\n", "[ 0.01819215 0.00236885 -0.07188384 0.05106372 0.03051271]\n", "[ 0.01816863 0.00235389 -0.07188872 0.0510455 0.03049603]\n", "[ 0.01814515 0.00233895 -0.07189357 0.05102731 0.03047938]\n", "[ 0.01812173 0.00232405 -0.07189841 0.05100915 0.03046275]\n", "[ 0.01809835 0.00230916 -0.07190321 0.05099102 0.03044615]\n", "[ 0.01807502 0.0022943 -0.071908 0.05097291 0.03042957]\n", "[ 0.01805175 0.00227947 -0.07191277 0.05095482 0.03041301]\n", "[ 0.01802852 0.00226466 -0.07191751 0.05093677 0.03039648]\n", "[ 0.01800534 0.00224988 -0.07192222 0.05091874 0.03037997]\n", "[ 0.01798221 0.00223513 -0.07192692 0.05090073 0.03036349]\n", "[ 0.01795912 0.0022204 -0.07193159 0.05088275 0.03034703]\n", "[ 0.01793609 0.00220569 -0.07193624 0.0508648 0.0303306 ]\n", "[ 0.01791311 0.00219101 -0.07194087 0.05084688 0.03031419]\n", "[ 0.01789017 0.00217636 -0.07194548 0.05082897 0.0302978 ]\n", "[ 0.01786728 0.00216173 -0.07195006 0.0508111 0.03028144]\n", "[ 0.01784444 0.00214712 -0.07195462 0.05079325 0.0302651 ]\n", "[ 0.01782165 0.00213254 -0.07195916 0.05077543 0.03024879]\n", "[ 0.01779891 0.00211799 -0.07196368 0.05075763 0.03023249]\n", "[ 0.01777621 0.00210346 -0.07196817 0.05073986 0.03021623]\n", "[ 0.01775357 0.00208895 -0.07197264 0.05072212 0.03019998]\n", "[ 0.01773097 0.00207447 -0.07197709 0.0507044 0.03018376]\n", "[ 0.01770842 0.00206002 -0.07198152 0.0506867 0.03016757]\n", "[ 0.01768591 0.00204559 -0.07198592 0.05066903 0.03015139]\n", "[ 0.01766346 0.00203118 -0.07199031 0.05065139 0.03013524]\n", "[ 0.01764105 0.0020168 -0.07199467 0.05063377 0.03011912]\n", "[ 0.01761868 0.00200244 -0.07199901 0.05061618 0.03010301]\n", "[ 0.01759637 0.00198811 -0.07200332 0.05059861 0.03008694]\n", "[ 0.0175741 0.0019738 -0.07200762 0.05058107 0.03007088]\n", "[ 0.01755188 0.00195952 -0.07201189 0.05056355 0.03005485]\n", "[ 0.01752971 0.00194526 -0.07201615 0.05054606 0.03003884]\n", "[ 0.01750758 0.00193103 -0.07202038 0.0505286 0.03002285]\n", "[ 0.01748551 0.00191682 -0.07202458 0.05051115 0.03000689]\n", "[ 0.01746347 0.00190263 -0.07202877 0.05049374 0.02999095]\n", "[ 0.01744149 0.00188847 -0.07203294 0.05047635 0.02997503]\n", "[ 0.01741955 0.00187433 -0.07203708 0.05045898 0.02995914]\n", "[ 0.01739766 0.00186022 -0.0720412 0.05044164 0.02994327]\n", "[ 0.01737581 0.00184613 -0.0720453 0.05042432 0.02992742]\n", "[ 0.01735401 0.00183207 -0.07204938 0.05040703 0.02991159]\n", "[ 0.01733226 0.00181802 -0.07205344 0.05038976 0.02989579]\n", "[ 0.01731055 0.00180401 -0.07205748 0.05037252 0.02988001]\n", "[ 0.01728889 0.00179001 -0.07206149 0.0503553 0.02986425]\n", "[ 0.01726727 0.00177605 -0.07206549 0.05033811 0.02984852]\n", "[ 0.0172457 0.0017621 -0.07206946 0.05032094 0.02983281]\n", "[ 0.01722418 0.00174818 -0.07207341 0.0503038 0.02981712]\n", "[ 0.0172027 0.00173428 -0.07207735 0.05028668 0.02980145]\n", "[ 0.01718126 0.00172041 -0.07208126 0.05026958 0.02978581]\n", "[ 0.01715988 0.00170656 -0.07208514 0.05025251 0.02977019]\n", "[ 0.01713854 0.00169273 -0.07208901 0.05023547 0.02975459]\n", "[ 0.01711724 0.00167892 -0.07209286 0.05021844 0.02973901]\n", "[ 0.01709599 0.00166514 -0.07209669 0.05020145 0.02972346]\n", "[ 0.01707478 0.00165139 -0.07210049 0.05018447 0.02970792]\n", "[ 0.01705362 0.00163765 -0.07210428 0.05016752 0.02969242]\n", "[ 0.0170325 0.00162395 -0.07210804 0.0501506 0.02967693]\n", "[ 0.01701143 0.00161026 -0.07211178 0.0501337 0.02966146]\n", "[ 0.0169904 0.0015966 -0.0721155 0.05011682 0.02964602]\n", "[ 0.01696942 0.00158296 -0.07211921 0.05009996 0.0296306 ]\n", "[ 0.01694848 0.00156934 -0.07212289 0.05008314 0.0296152 ]\n", "[ 0.01692759 0.00155574 -0.07212655 0.05006633 0.02959982]\n", "[ 0.01690674 0.00154217 -0.07213019 0.05004955 0.02958447]\n", "[ 0.01688594 0.00152863 -0.07213381 0.05003279 0.02956913]\n", "[ 0.01686518 0.0015151 -0.07213741 0.05001606 0.02955382]\n", "[ 0.01684446 0.0015016 -0.07214098 0.04999934 0.02953853]\n", "[ 0.01682379 0.00148812 -0.07214454 0.04998266 0.02952327]\n", "[ 0.01680316 0.00147467 -0.07214808 0.04996599 0.02950802]\n", "[ 0.01678258 0.00146123 -0.0721516 0.04994935 0.0294928 ]\n", "[ 0.01676204 0.00144782 -0.0721551 0.04993274 0.0294776 ]\n", "[ 0.01674154 0.00143444 -0.07215857 0.04991615 0.02946241]\n", "[ 0.01672109 0.00142107 -0.07216203 0.04989958 0.02944726]\n", "[ 0.01670068 0.00140773 -0.07216547 0.04988303 0.02943212]\n", "[ 0.01668031 0.00139441 -0.07216888 0.04986651 0.029417 ]\n", "[ 0.01665999 0.00138111 -0.07217228 0.04985001 0.02940191]\n", "[ 0.01663971 0.00136784 -0.07217566 0.04983353 0.02938684]\n", "[ 0.01661948 0.00135459 -0.07217902 0.04981708 0.02937178]\n", "[ 0.01659928 0.00134136 -0.07218235 0.04980065 0.02935675]\n", "[ 0.01657913 0.00132815 -0.07218567 0.04978424 0.02934174]\n", "[ 0.01655903 0.00131496 -0.07218897 0.04976786 0.02932676]\n", "[ 0.01653896 0.0013018 -0.07219225 0.0497515 0.02931179]\n", "[ 0.01651894 0.00128866 -0.0721955 0.04973516 0.02929685]\n", "[ 0.01649896 0.00127554 -0.07219874 0.04971885 0.02928192]\n", "[ 0.01647903 0.00126245 -0.07220196 0.04970255 0.02926702]\n", "[ 0.01645913 0.00124937 -0.07220516 0.04968629 0.02925214]\n", "[ 0.01643928 0.00123632 -0.07220834 0.04967004 0.02923728]\n", "[ 0.01641947 0.00122329 -0.0722115 0.04965382 0.02922244]\n", "[ 0.01639971 0.00121029 -0.07221464 0.04963762 0.02920762]\n", "[ 0.01637998 0.0011973 -0.07221776 0.04962144 0.02919282]\n", "[ 0.0163603 0.00118434 -0.07222086 0.04960528 0.02917804]\n", "[ 0.01634066 0.0011714 -0.07222394 0.04958915 0.02916329]\n", "[ 0.01632106 0.00115848 -0.07222701 0.04957304 0.02914855]\n", "[ 0.01630151 0.00114558 -0.07223005 0.04955695 0.02913384]\n", "[ 0.01628199 0.0011327 -0.07223307 0.04954089 0.02911914]\n", "[ 0.01626252 0.00111985 -0.07223608 0.04952484 0.02910447]\n", "[ 0.01624309 0.00110701 -0.07223906 0.04950882 0.02908982]\n", "[ 0.0162237 0.0010942 -0.07224203 0.04949282 0.02907518]\n", "[ 0.01620435 0.00108141 -0.07224498 0.04947685 0.02906057]\n", "[ 0.01618505 0.00106864 -0.07224791 0.0494609 0.02904598]\n", "[ 0.01616578 0.0010559 -0.07225082 0.04944496 0.02903141]\n", "[ 0.01614656 0.00104317 -0.07225371 0.04942906 0.02901686]\n", "[ 0.01612737 0.00103047 -0.07225658 0.04941317 0.02900233]\n", "[ 0.01610823 0.00101779 -0.07225943 0.0493973 0.02898782]\n", "[ 0.01608913 0.00100512 -0.07226226 0.04938146 0.02897333]\n", "[ 0.01607007 0.00099249 -0.07226508 0.04936564 0.02895886]\n", "[ 0.01605105 0.00097987 -0.07226788 0.04934984 0.02894442]\n", "[ 0.01603208 0.00096727 -0.07227065 0.04933406 0.02892999]\n", "[ 0.01601314 0.00095469 -0.07227341 0.04931831 0.02891558]\n", "[ 0.01599424 0.00094214 -0.07227615 0.04930257 0.02890119]\n", "[ 0.01597538 0.0009296 -0.07227887 0.04928686 0.02888682]\n", "[ 0.01595657 0.00091709 -0.07228157 0.04927117 0.02887248]\n", "[ 0.01593779 0.0009046 -0.07228426 0.04925551 0.02885815]\n", "[ 0.01591906 0.00089213 -0.07228692 0.04923986 0.02884384]\n", "[ 0.01590036 0.00087968 -0.07228957 0.04922423 0.02882955]\n", "[ 0.01588171 0.00086725 -0.0722922 0.04920863 0.02881529]\n", "[ 0.01586309 0.00085484 -0.07229481 0.04919305 0.02880104]\n", "[ 0.01584452 0.00084245 -0.0722974 0.04917749 0.02878681]\n", "[ 0.01582598 0.00083009 -0.07229997 0.04916195 0.0287726 ]\n", "[ 0.01580748 0.00081774 -0.07230253 0.04914643 0.02875841]\n", "[ 0.01578903 0.00080542 -0.07230507 0.04913094 0.02874425]\n", "[ 0.01577061 0.00079311 -0.07230759 0.04911546 0.0287301 ]\n", "[ 0.01575224 0.00078083 -0.07231009 0.04910001 0.02871597]\n", "[ 0.0157339 0.00076857 -0.07231257 0.04908458 0.02870186]\n", "[ 0.0157156 0.00075632 -0.07231503 0.04906917 0.02868777]\n", "[ 0.01569734 0.0007441 -0.07231748 0.04905378 0.0286737 ]\n", "[ 0.01567912 0.0007319 -0.07231991 0.04903841 0.02865964]\n", "[ 0.01566094 0.00071972 -0.07232232 0.04902306 0.02864561]\n", "[ 0.0156428 0.00070756 -0.07232471 0.04900774 0.0286316 ]\n", "[ 0.0156247 0.00069542 -0.07232708 0.04899243 0.02861761]\n", "[ 0.01560664 0.00068329 -0.07232944 0.04897715 0.02860363]\n", "[ 0.01558861 0.00067119 -0.07233178 0.04896188 0.02858968]\n", "[ 0.01557063 0.00065911 -0.0723341 0.04894664 0.02857574]\n", "[ 0.01555268 0.00064706 -0.0723364 0.04893142 0.02856183]\n", "[ 0.01553477 0.00063502 -0.07233868 0.04891622 0.02854793]\n", "[ 0.0155169 0.000623 -0.07234095 0.04890104 0.02853405]\n", "[ 0.01549907 0.000611 -0.0723432 0.04888588 0.0285202 ]\n", "[ 0.01548128 0.00059902 -0.07234543 0.04887074 0.02850636]\n", "[ 0.01546353 0.00058706 -0.07234765 0.04885562 0.02849254]\n", "[ 0.01544581 0.00057512 -0.07234984 0.04884052 0.02847874]\n", "[ 0.01542813 0.0005632 -0.07235202 0.04882545 0.02846495]\n", "[ 0.01541049 0.0005513 -0.07235418 0.04881039 0.02845119]\n", "[ 0.01539289 0.00053942 -0.07235633 0.04879536 0.02843745]\n", "[ 0.01537533 0.00052756 -0.07235845 0.04878034 0.02842372]\n", "[ 0.0153578 0.00051572 -0.07236056 0.04876535 0.02841001]\n", "[ 0.01534031 0.0005039 -0.07236265 0.04875037 0.02839633]\n", "[ 0.01532286 0.0004921 -0.07236473 0.04873542 0.02838266]\n", "[ 0.01530545 0.00048032 -0.07236679 0.04872048 0.02836901]\n", "[ 0.01528808 0.00046856 -0.07236883 0.04870557 0.02835538]\n", "[ 0.01527074 0.00045681 -0.07237085 0.04869068 0.02834176]\n", "[ 0.01525344 0.00044509 -0.07237285 0.0486758 0.02832817]\n", "[ 0.01523618 0.00043339 -0.07237484 0.04866095 0.02831459]\n", "[ 0.01521895 0.0004217 -0.07237681 0.04864612 0.02830104]\n", "[ 0.01520176 0.00041004 -0.07237877 0.04863131 0.0282875 ]\n", "[ 0.01518461 0.0003984 -0.07238071 0.04861651 0.02827398]\n", "[ 0.0151675 0.00038677 -0.07238263 0.04860174 0.02826048]\n", "[ 0.01515042 0.00037516 -0.07238453 0.04858699 0.02824699]\n", "[ 0.01513338 0.00036358 -0.07238642 0.04857226 0.02823353]\n", "[ 0.01511638 0.00035201 -0.07238828 0.04855754 0.02822008]\n", "[ 0.01509941 0.00034046 -0.07239014 0.04854285 0.02820665]\n", "[ 0.01508248 0.00032893 -0.07239197 0.04852818 0.02819324]\n", "[ 0.01506559 0.00031742 -0.07239379 0.04851352 0.02817985]\n", "[ 0.01504873 0.00030593 -0.07239559 0.04849889 0.02816648]\n", "[ 0.01503191 0.00029446 -0.07239738 0.04848428 0.02815312]\n", "[ 0.01501513 0.00028301 -0.07239915 0.04846968 0.02813979]\n", "[ 0.01499838 0.00027157 -0.0724009 0.04845511 0.02812647]\n", "[ 0.01498167 0.00026016 -0.07240263 0.04844055 0.02811317]\n", "[ 0.014965 0.00024876 -0.07240435 0.04842602 0.02809989]\n", "[ 0.01494836 0.00023739 -0.07240605 0.0484115 0.02808662]\n", "[ 0.01493176 0.00022603 -0.07240774 0.04839701 0.02807337]\n", "[ 0.01491519 0.00021469 -0.07240941 0.04838253 0.02806015]\n", "[ 0.01489866 0.00020337 -0.07241106 0.04836807 0.02804693]\n", "[ 0.01488216 0.00019206 -0.0724127 0.04835363 0.02803374]\n", "[ 0.01486571 0.00018078 -0.07241432 0.04833922 0.02802057]\n", "[ 0.01484928 0.00016952 -0.07241592 0.04832482 0.02800741]\n", "[ 0.01483289 0.00015827 -0.07241751 0.04831044 0.02799427]\n", "[ 0.01481654 0.00014704 -0.07241908 0.04829607 0.02798115]\n", "[ 0.01480023 0.00013583 -0.07242063 0.04828173 0.02796804]\n", "[ 0.01478395 0.00012464 -0.07242217 0.04826741 0.02795496]\n", "[ 0.0147677 0.00011347 -0.07242369 0.04825311 0.02794189]\n", "[ 0.01475149 0.00010232 -0.0724252 0.04823882 0.02792884]\n", "[ 1.47353144e-02 9.11834946e-05 -7.24266881e-02 4.82245573e-02\n", " 2.79158023e-02]\n", "[ 1.47191744e-02 8.00667954e-05 -7.24281616e-02 4.82103110e-02\n", " 2.79027861e-02]\n", "[ 1.47030696e-02 6.89684328e-05 -7.24296191e-02 4.81960836e-02\n", " 2.78897875e-02]\n", "[ 1.46869998e-02 5.78883716e-05 -7.24310606e-02 4.81818752e-02\n", " 2.78768063e-02]\n", "[ 1.46709649e-02 4.68265767e-05 -7.24324860e-02 4.81676857e-02\n", " 2.78638425e-02]\n", "[ 1.46549649e-02 3.57830131e-05 -7.24338955e-02 4.81535150e-02\n", " 2.78508962e-02]\n", "[ 1.46389997e-02 2.47576459e-05 -7.24352891e-02 4.81393632e-02\n", " 2.78379672e-02]\n", "[ 1.46230693e-02 1.37504403e-05 -7.24366667e-02 4.81252302e-02\n", " 2.78250556e-02]\n", "[ 1.46071736e-02 2.76136133e-06 -7.24380284e-02 4.81111159e-02\n", " 2.78121612e-02]\n", "[ 1.45913124e-02 -8.20962564e-06 -7.24393744e-02 4.80970204e-02\n", " 2.77992842e-02]\n", "[ 1.45754859e-02 -1.91625553e-05 -7.24407045e-02 4.80829436e-02\n", " 2.77864244e-02]\n", "[ 1.45596937e-02 -3.00974622e-05 -7.24420188e-02 4.80688854e-02\n", " 2.77735818e-02]\n", "[ 1.45439360e-02 -4.10143810e-05 -7.24433174e-02 4.80548459e-02\n", " 2.77607564e-02]\n", "[ 1.45282126e-02 -5.19133461e-05 -7.24446003e-02 4.80408249e-02\n", " 2.77479481e-02]\n", "[ 1.45125235e-02 -6.27943918e-05 -7.24458675e-02 4.80268225e-02\n", " 2.77351569e-02]\n", "[ 1.44968686e-02 -7.36575526e-05 -7.24471190e-02 4.80128386e-02\n", " 2.77223828e-02]\n", "[ 1.44812479e-02 -8.45028627e-05 -7.24483549e-02 4.79988731e-02\n", " 2.77096258e-02]\n", "[ 1.44656612e-02 -9.53303563e-05 -7.24495753e-02 4.79849262e-02\n", " 2.76968858e-02]\n", "[ 0.01445011 -0.00010614 -0.07245078 0.047971 0.02768416]\n", "[ 0.01443459 -0.00011693 -0.07245197 0.04795709 0.02767146]\n", "[ 0.0144191 -0.00012771 -0.07245314 0.0479432 0.02765877]\n", "[ 0.01440365 -0.00013846 -0.0724543 0.04792932 0.0276461 ]\n", "[ 0.01438824 -0.0001492 -0.07245544 0.04791547 0.02763344]\n", "[ 0.01437285 -0.00015992 -0.07245657 0.04790163 0.0276208 ]\n", "[ 0.0143575 -0.00017063 -0.07245768 0.04788781 0.02760818]\n", "[ 0.01434219 -0.00018131 -0.07245878 0.04787401 0.02759557]\n", "[ 0.0143269 -0.00019198 -0.07245986 0.04786023 0.02758299]\n", "[ 0.01431165 -0.00020263 -0.07246093 0.04784646 0.02757041]\n", "[ 0.01429644 -0.00021327 -0.07246198 0.04783272 0.02755786]\n", "[ 0.01428125 -0.00022388 -0.07246302 0.04781899 0.02754532]\n", "[ 0.0142661 -0.00023448 -0.07246404 0.04780528 0.0275328 ]\n", "[ 0.01425099 -0.00024506 -0.07246504 0.04779159 0.02752029]\n", "[ 0.0142359 -0.00025563 -0.07246603 0.04777791 0.02750781]\n", "[ 0.01422085 -0.00026617 -0.07246701 0.04776426 0.02749533]\n", "[ 0.01420584 -0.0002767 -0.07246797 0.04775062 0.02748288]\n", "[ 0.01419085 -0.00028722 -0.07246891 0.047737 0.02747044]\n", "[ 0.0141759 -0.00029771 -0.07246984 0.04772339 0.02745802]\n", "[ 0.01416098 -0.00030819 -0.07247076 0.04770981 0.02744561]\n", "[ 0.01414609 -0.00031865 -0.07247166 0.04769624 0.02743322]\n", "[ 0.01413124 -0.0003291 -0.07247254 0.04768269 0.02742085]\n", "[ 0.01411642 -0.00033952 -0.07247341 0.04766916 0.02740849]\n", "[ 0.01410163 -0.00034993 -0.07247427 0.04765564 0.02739615]\n", "[ 0.01408687 -0.00036033 -0.07247511 0.04764215 0.02738382]\n", "[ 0.01407215 -0.0003707 -0.07247594 0.04762867 0.02737151]\n", "[ 0.01405746 -0.00038106 -0.07247675 0.0476152 0.02735922]\n", "[ 0.0140428 -0.0003914 -0.07247755 0.04760176 0.02734695]\n", "[ 0.01402817 -0.00040173 -0.07247833 0.04758833 0.02733468]\n", "[ 0.01401358 -0.00041204 -0.07247909 0.04757492 0.02732244]\n", "[ 0.01399901 -0.00042233 -0.07247985 0.04756153 0.02731021]\n", "[ 0.01398448 -0.0004326 -0.07248059 0.04754816 0.027298 ]\n", "[ 0.01396998 -0.00044286 -0.07248131 0.0475348 0.0272858 ]\n", "[ 0.01395552 -0.0004531 -0.07248202 0.04752146 0.02727362]\n", "[ 0.01394108 -0.00046333 -0.07248271 0.04750814 0.02726146]\n", "[ 0.01392668 -0.00047354 -0.07248339 0.04749483 0.02724931]\n", "[ 0.0139123 -0.00048373 -0.07248406 0.04748154 0.02723718]\n", "[ 0.01389796 -0.0004939 -0.07248471 0.04746827 0.02722506]\n", "[ 0.01388365 -0.00050406 -0.07248535 0.04745502 0.02721296]\n", "[ 0.01386938 -0.00051421 -0.07248597 0.04744178 0.02720088]\n", "[ 0.01385513 -0.00052433 -0.07248658 0.04742856 0.02718881]\n", "[ 0.01384092 -0.00053444 -0.07248717 0.04741536 0.02717675]\n", "[ 0.01382673 -0.00054453 -0.07248775 0.04740217 0.02716472]\n", "[ 0.01381258 -0.00055461 -0.07248832 0.047389 0.02715269]\n", "[ 0.01379846 -0.00056467 -0.07248887 0.04737585 0.02714069]\n", "[ 0.01378437 -0.00057471 -0.0724894 0.04736272 0.0271287 ]\n", "[ 0.01377031 -0.00058474 -0.07248993 0.0473496 0.02711672]\n", "[ 0.01375628 -0.00059475 -0.07249044 0.0473365 0.02710476]\n", "[ 0.01374229 -0.00060475 -0.07249093 0.04732341 0.02709282]\n", "[ 0.01372832 -0.00061473 -0.07249141 0.04731034 0.02708089]\n", "[ 0.01371439 -0.00062469 -0.07249188 0.04729729 0.02706897]\n", "[ 0.01370048 -0.00063463 -0.07249233 0.04728426 0.02705708]\n", "[ 0.01368661 -0.00064457 -0.07249277 0.04727124 0.02704519]\n", "[ 0.01367277 -0.00065448 -0.07249319 0.04725824 0.02703333]\n", "[ 0.01365895 -0.00066438 -0.0724936 0.04724526 0.02702147]\n", "[ 0.01364517 -0.00067426 -0.072494 0.04723229 0.02700964]\n", "[ 0.01363142 -0.00068413 -0.07249438 0.04721934 0.02699782]\n", "[ 0.0136177 -0.00069398 -0.07249475 0.0472064 0.02698601]\n", "[ 0.01360401 -0.00070381 -0.07249511 0.04719349 0.02697422]\n", "[ 0.01359035 -0.00071363 -0.07249545 0.04718058 0.02696244]\n", "[ 0.01357672 -0.00072343 -0.07249578 0.0471677 0.02695068]\n", "[ 0.01356312 -0.00073322 -0.07249609 0.04715483 0.02693894]\n", "[ 0.01354955 -0.00074299 -0.07249639 0.04714198 0.02692721]\n", "[ 0.01353601 -0.00075275 -0.07249668 0.04712914 0.02691549]\n", "[ 0.0135225 -0.00076249 -0.07249695 0.04711632 0.02690379]\n", "[ 0.01350902 -0.00077221 -0.07249721 0.04710352 0.02689211]\n", "[ 0.01349557 -0.00078192 -0.07249746 0.04709073 0.02688044]\n", "[ 0.01348215 -0.00079161 -0.07249769 0.04707796 0.02686878]\n", "[ 0.01346876 -0.00080129 -0.07249791 0.04706521 0.02685714]\n", "[ 0.0134554 -0.00081095 -0.07249811 0.04705247 0.02684552]\n", "[ 0.01344206 -0.0008206 -0.0724983 0.04703974 0.02683391]\n", "[ 0.01342876 -0.00083023 -0.07249848 0.04702704 0.02682231]\n", "[ 0.01341549 -0.00083984 -0.07249865 0.04701435 0.02681073]\n", "[ 0.01340225 -0.00084944 -0.0724988 0.04700167 0.02679916]\n", "[ 0.01338903 -0.00085902 -0.07249894 0.04698902 0.02678761]\n", "[ 0.01337585 -0.00086859 -0.07249906 0.04697637 0.02677608]\n", "[ 0.0133627 -0.00087815 -0.07249917 0.04696375 0.02676456]\n", "[ 0.01334957 -0.00088768 -0.07249927 0.04695114 0.02675305]\n", "[ 0.01333647 -0.00089721 -0.07249936 0.04693854 0.02674156]\n", "[ 0.01332341 -0.00090671 -0.07249943 0.04692596 0.02673008]\n", "[ 0.01331037 -0.00091621 -0.07249949 0.0469134 0.02671862]\n", "[ 0.01329736 -0.00092568 -0.07249953 0.04690085 0.02670717]\n", "[ 0.01328438 -0.00093515 -0.07249956 0.04688832 0.02669573]\n", "[ 0.01327143 -0.00094459 -0.07249958 0.04687581 0.02668431]\n", "[ 0.01325851 -0.00095402 -0.07249959 0.04686331 0.02667291]\n", "[ 0.01324561 -0.00096344 -0.07249958 0.04685082 0.02666152]\n", "[ 0.01323275 -0.00097284 -0.07249956 0.04683836 0.02665014]\n", "[ 0.01321991 -0.00098223 -0.07249953 0.0468259 0.02663878]\n", "[ 0.0132071 -0.0009916 -0.07249948 0.04681347 0.02662743]\n", "[ 0.01319432 -0.00100095 -0.07249943 0.04680104 0.0266161 ]\n", "[ 0.01318157 -0.00101029 -0.07249935 0.04678864 0.02660478]\n", "[ 0.01316885 -0.00101962 -0.07249927 0.04677625 0.02659348]\n", "[ 0.01315616 -0.00102893 -0.07249917 0.04676387 0.02658219]\n", "[ 0.01314349 -0.00103823 -0.07249906 0.04675151 0.02657091]\n", "[ 0.01313085 -0.00104751 -0.07249894 0.04673917 0.02655965]\n", "[ 0.01311824 -0.00105678 -0.0724988 0.04672684 0.0265484 ]\n", "[ 0.01310566 -0.00106603 -0.07249865 0.04671453 0.02653717]\n", "[ 0.01309311 -0.00107527 -0.07249849 0.04670223 0.02652595]\n", "[ 0.01308058 -0.00108449 -0.07249832 0.04668995 0.02651475]\n", "[ 0.01306809 -0.0010937 -0.07249813 0.04667768 0.02650356]\n", "[ 0.01305562 -0.00110289 -0.07249793 0.04666543 0.02649238]\n", "[ 0.01304318 -0.00111207 -0.07249772 0.04665319 0.02648122]\n", "[ 0.01303076 -0.00112123 -0.07249749 0.04664097 0.02647007]\n", "[ 0.01301838 -0.00113038 -0.07249726 0.04662876 0.02645894]\n", "[ 0.01300602 -0.00113951 -0.07249701 0.04661657 0.02644781]\n", "[ 0.01299369 -0.00114863 -0.07249674 0.04660439 0.02643671]\n", "[ 0.01298139 -0.00115774 -0.07249647 0.04659223 0.02642562]\n", "[ 0.01296911 -0.00116683 -0.07249618 0.04658009 0.02641454]\n", "[ 0.01295687 -0.00117591 -0.07249588 0.04656795 0.02640347]\n", "[ 0.01294465 -0.00118497 -0.07249557 0.04655584 0.02639242]\n", "[ 0.01293245 -0.00119402 -0.07249524 0.04654374 0.02638138]\n", "[ 0.01292029 -0.00120305 -0.07249491 0.04653165 0.02637036]\n", "[ 0.01290815 -0.00121207 -0.07249456 0.04651958 0.02635935]\n", "[ 0.01289604 -0.00122107 -0.0724942 0.04650752 0.02634835]\n", "[ 0.01288395 -0.00123006 -0.07249382 0.04649548 0.02633737]\n", "[ 0.0128719 -0.00123904 -0.07249343 0.04648345 0.0263264 ]\n", "[ 0.01285987 -0.001248 -0.07249304 0.04647144 0.02631545]\n", "[ 0.01284787 -0.00125695 -0.07249263 0.04645944 0.02630451]\n", "[ 0.01283589 -0.00126588 -0.0724922 0.04644746 0.02629358]\n", "[ 0.01282394 -0.0012748 -0.07249177 0.04643549 0.02628266]\n", "[ 0.01281202 -0.00128371 -0.07249132 0.04642354 0.02627176]\n", "[ 0.01280012 -0.0012926 -0.07249086 0.0464116 0.02626088]\n", "[ 0.01278826 -0.00130148 -0.07249039 0.04639968 0.02625 ]\n", "[ 0.01277641 -0.00131034 -0.07248991 0.04638777 0.02623914]\n", "[ 0.0127646 -0.00131919 -0.07248941 0.04637588 0.0262283 ]\n", "[ 0.01275281 -0.00132802 -0.0724889 0.046364 0.02621746]\n", "[ 0.01274105 -0.00133684 -0.07248838 0.04635213 0.02620664]\n", "[ 0.01272931 -0.00134565 -0.07248785 0.04634028 0.02619584]\n", "[ 0.0127176 -0.00135444 -0.07248731 0.04632844 0.02618504]\n", "[ 0.01270592 -0.00136322 -0.07248675 0.04631662 0.02617426]\n", "[ 0.01269427 -0.00137199 -0.07248618 0.04630481 0.0261635 ]\n", "[ 0.01268264 -0.00138074 -0.0724856 0.04629302 0.02615274]\n", "[ 0.01267103 -0.00138948 -0.07248501 0.04628124 0.026142 ]\n", "[ 0.01265945 -0.0013982 -0.07248441 0.04626947 0.02613128]\n", "[ 0.0126479 -0.00140691 -0.0724838 0.04625772 0.02612056]\n", "[ 0.01263638 -0.00141561 -0.07248317 0.04624599 0.02610986]\n", "[ 0.01262488 -0.00142429 -0.07248253 0.04623427 0.02609918]\n", "[ 0.0126134 -0.00143296 -0.07248188 0.04622256 0.0260885 ]\n", "[ 0.01260196 -0.00144161 -0.07248122 0.04621087 0.02607784]\n", "[ 0.01259054 -0.00145025 -0.07248055 0.04619919 0.02606719]\n", "[ 0.01257914 -0.00145888 -0.07247986 0.04618752 0.02605656]\n", "[ 0.01256777 -0.0014675 -0.07247916 0.04617587 0.02604594]\n", "[ 0.01255643 -0.0014761 -0.07247846 0.04616423 0.02603533]\n", "[ 0.01254511 -0.00148469 -0.07247774 0.04615261 0.02602473]\n", "[ 0.01253381 -0.00149326 -0.072477 0.046141 0.02601415]\n", "[ 0.01252255 -0.00150182 -0.07247626 0.04612941 0.02600358]\n", "[ 0.0125113 -0.00151037 -0.07247551 0.04611783 0.02599302]\n", "[ 0.01250009 -0.0015189 -0.07247474 0.04610626 0.02598248]\n", "[ 0.0124889 -0.00152742 -0.07247396 0.04609471 0.02597195]\n", "[ 0.01247773 -0.00153593 -0.07247318 0.04608317 0.02596143]\n", "[ 0.01246659 -0.00154442 -0.07247237 0.04607164 0.02595092]\n", "[ 0.01245547 -0.0015529 -0.07247156 0.04606013 0.02594043]\n", "[ 0.01244438 -0.00156137 -0.07247074 0.04604863 0.02592995]\n", "[ 0.01243332 -0.00156982 -0.07246991 0.04603715 0.02591948]\n", "[ 0.01242228 -0.00157826 -0.07246906 0.04602568 0.02590903]\n", "[ 0.01241127 -0.00158669 -0.0724682 0.04601422 0.02589858]\n", "[ 0.01240028 -0.0015951 -0.07246734 0.04600278 0.02588815]\n", "[ 0.01238931 -0.0016035 -0.07246646 0.04599135 0.02587774]\n", "[ 0.01237837 -0.00161189 -0.07246557 0.04597994 0.02586733]\n", "[ 0.01236746 -0.00162027 -0.07246466 0.04596854 0.02585694]\n", "[ 0.01235657 -0.00162863 -0.07246375 0.04595715 0.02584656]\n", "[ 0.0123457 -0.00163697 -0.07246283 0.04594578 0.0258362 ]\n", "[ 0.01233486 -0.00164531 -0.07246189 0.04593442 0.02582584]\n", "[ 0.01232404 -0.00165363 -0.07246094 0.04592307 0.0258155 ]\n", "[ 0.01231325 -0.00166194 -0.07245999 0.04591173 0.02580517]\n", "[ 0.01230249 -0.00167024 -0.07245902 0.04590042 0.02579486]\n", "[ 0.01229174 -0.00167852 -0.07245804 0.04588911 0.02578455]\n", "[ 0.01228103 -0.00168679 -0.07245705 0.04587782 0.02577426]\n", "[ 0.01227033 -0.00169505 -0.07245605 0.04586654 0.02576398]\n", "[ 0.01225966 -0.00170329 -0.07245503 0.04585527 0.02575372]\n", "[ 0.01224902 -0.00171153 -0.07245401 0.04584402 0.02574346]\n", "[ 0.0122384 -0.00171974 -0.07245298 0.04583278 0.02573322]\n", "[ 0.0122278 -0.00172795 -0.07245193 0.04582155 0.02572299]\n", "[ 0.01221723 -0.00173614 -0.07245087 0.04581034 0.02571277]\n", "[ 0.01220668 -0.00174432 -0.07244981 0.04579914 0.02570257]\n", "[ 0.01219616 -0.00175249 -0.07244873 0.04578795 0.02569237]\n", "[ 0.01218566 -0.00176065 -0.07244764 0.04577678 0.02568219]\n", "[ 0.01217518 -0.00176879 -0.07244654 0.04576562 0.02567202]\n", "[ 0.01216473 -0.00177692 -0.07244543 0.04575447 0.02566187]\n", "[ 0.0121543 -0.00178504 -0.07244431 0.04574334 0.02565172]\n", "[ 0.0121439 -0.00179314 -0.07244318 0.04573222 0.02564159]\n", "[ 0.01213352 -0.00180123 -0.07244204 0.04572111 0.02563147]\n", "[ 0.01212316 -0.00180931 -0.07244088 0.04571002 0.02562136]\n", "[ 0.01211283 -0.00181738 -0.07243972 0.04569894 0.02561127]\n", "[ 0.01210252 -0.00182544 -0.07243854 0.04568787 0.02560118]\n", "[ 0.01209224 -0.00183348 -0.07243736 0.04567681 0.02559111]\n", "[ 0.01208197 -0.00184151 -0.07243616 0.04566577 0.02558105]\n", "[ 0.01207173 -0.00184952 -0.07243496 0.04565474 0.025571 ]\n", "[ 0.01206152 -0.00185753 -0.07243374 0.04564373 0.02556097]\n", "[ 0.01205133 -0.00186552 -0.07243251 0.04563272 0.02555094]\n", "[ 0.01204116 -0.0018735 -0.07243128 0.04562173 0.02554093]\n", "[ 0.01203102 -0.00188147 -0.07243003 0.04561076 0.02553093]\n", "[ 0.01202089 -0.00188942 -0.07242877 0.04559979 0.02552094]\n", "[ 0.0120108 -0.00189737 -0.0724275 0.04558884 0.02551096]\n", "[ 0.01200072 -0.0019053 -0.07242622 0.0455779 0.025501 ]\n", "[ 0.01199067 -0.00191322 -0.07242493 0.04556697 0.02549104]\n", "[ 0.01198064 -0.00192112 -0.07242363 0.04555606 0.0254811 ]\n", "[ 0.01197063 -0.00192902 -0.07242232 0.04554516 0.02547117]\n", "[ 0.01196065 -0.0019369 -0.072421 0.04553427 0.02546126]\n", "[ 0.01195069 -0.00194477 -0.07241967 0.0455234 0.02545135]\n", "[ 0.01194076 -0.00195262 -0.07241833 0.04551253 0.02544145]\n", "[ 0.01193084 -0.00196047 -0.07241698 0.04550168 0.02543157]\n", "[ 0.01192095 -0.0019683 -0.07241561 0.04549084 0.0254217 ]\n", "[ 0.01191108 -0.00197613 -0.07241424 0.04548002 0.02541184]\n", "[ 0.01190124 -0.00198393 -0.07241286 0.04546921 0.02540199]\n", "[ 0.01189141 -0.00199173 -0.07241147 0.04545841 0.02539216]\n", "[ 0.01188161 -0.00199952 -0.07241006 0.04544762 0.02538233]\n", "[ 0.01187184 -0.00200729 -0.07240865 0.04543684 0.02537252]\n", "[ 0.01186208 -0.00201505 -0.07240723 0.04542608 0.02536271]\n", "[ 0.01185235 -0.0020228 -0.0724058 0.04541533 0.02535292]\n", "[ 0.01184264 -0.00203054 -0.07240435 0.04540459 0.02534314]\n", "[ 0.01183295 -0.00203826 -0.0724029 0.04539387 0.02533338]\n", "[ 0.01182329 -0.00204598 -0.07240144 0.04538316 0.02532362]\n", "[ 0.01181364 -0.00205368 -0.07239996 0.04537246 0.02531388]\n", "[ 0.01180402 -0.00206137 -0.07239848 0.04536177 0.02530414]\n", "[ 0.01179443 -0.00206905 -0.07239699 0.04535109 0.02529442]\n", "[ 0.01178485 -0.00207671 -0.07239548 0.04534043 0.02528471]\n", "[ 0.0117753 -0.00208437 -0.07239397 0.04532978 0.02527501]\n", "[ 0.01176576 -0.00209201 -0.07239245 0.04531914 0.02526532]\n", "[ 0.01175626 -0.00209964 -0.07239092 0.04530851 0.02525564]\n", "[ 0.01174677 -0.00210726 -0.07238937 0.0452979 0.02524598]\n", "[ 0.0117373 -0.00211487 -0.07238782 0.04528729 0.02523632]\n", "[ 0.01172786 -0.00212247 -0.07238626 0.0452767 0.02522668]\n", "[ 0.01171844 -0.00213005 -0.07238469 0.04526612 0.02521705]\n", "[ 0.01170904 -0.00213763 -0.0723831 0.04525556 0.02520743]\n", "[ 0.01169966 -0.00214519 -0.07238151 0.045245 0.02519782]\n", "[ 0.0116903 -0.00215274 -0.07237991 0.04523446 0.02518822]\n", "[ 0.01168097 -0.00216028 -0.0723783 0.04522393 0.02517863]\n", "[ 0.01167166 -0.0021678 -0.07237668 0.04521341 0.02516905]\n", "[ 0.01166236 -0.00217532 -0.07237505 0.04520291 0.02515949]\n", "[ 0.0116531 -0.00218282 -0.07237341 0.04519241 0.02514993]\n", "[ 0.01164385 -0.00219032 -0.07237176 0.04518193 0.02514039]\n", "[ 0.01163462 -0.0021978 -0.0723701 0.04517146 0.02513086]\n", "[ 0.01162542 -0.00220527 -0.07236843 0.045161 0.02512134]\n", "[ 0.01161623 -0.00221272 -0.07236675 0.04515055 0.02511182]\n", "[ 0.01160707 -0.00222017 -0.07236507 0.04514012 0.02510233]\n", "[ 0.01159793 -0.00222761 -0.07236337 0.0451297 0.02509284]\n", "[ 0.01158881 -0.00223503 -0.07236166 0.04511929 0.02508336]\n", "[ 0.01157971 -0.00224245 -0.07235994 0.04510889 0.02507389]\n", "[ 0.01157064 -0.00224985 -0.07235822 0.0450985 0.02506444]\n", "[ 0.01156158 -0.00225724 -0.07235648 0.04508812 0.02505499]\n", "[ 0.01155255 -0.00226462 -0.07235474 0.04507776 0.02504556]\n", "[ 0.01154353 -0.00227199 -0.07235298 0.04506741 0.02503613]\n", "[ 0.01153454 -0.00227934 -0.07235122 0.04505707 0.02502672]\n", "[ 0.01152557 -0.00228669 -0.07234945 0.04504674 0.02501732]\n", "[ 0.01151662 -0.00229402 -0.07234766 0.04503642 0.02500793]\n", "[ 0.01150769 -0.00230135 -0.07234587 0.04502611 0.02499854]\n", "[ 0.01149878 -0.00230866 -0.07234407 0.04501582 0.02498917]\n", "[ 0.01148989 -0.00231596 -0.07234226 0.04500554 0.02497982]\n", "[ 0.01148103 -0.00232325 -0.07234044 0.04499527 0.02497047]\n", "[ 0.01147218 -0.00233053 -0.07233861 0.04498501 0.02496113]\n", "[ 0.01146335 -0.0023378 -0.07233677 0.04497476 0.0249518 ]\n", "[ 0.01145455 -0.00234506 -0.07233493 0.04496452 0.02494248]\n", "[ 0.01144577 -0.0023523 -0.07233307 0.0449543 0.02493318]\n", "[ 0.011437 -0.00235954 -0.07233121 0.04494408 0.02492388]\n", "[ 0.01142826 -0.00236676 -0.07232933 0.04493388 0.0249146 ]\n", "[ 0.01141954 -0.00237398 -0.07232745 0.04492369 0.02490532]\n", "[ 0.01141083 -0.00238118 -0.07232555 0.04491351 0.02489606]\n", "[ 0.01140215 -0.00238837 -0.07232365 0.04490334 0.0248868 ]\n", "[ 0.01139349 -0.00239555 -0.07232174 0.04489318 0.02487756]\n", "[ 0.01138485 -0.00240272 -0.07231982 0.04488304 0.02486833]\n", "[ 0.01137623 -0.00240988 -0.07231789 0.0448729 0.02485911]\n", "[ 0.01136763 -0.00241703 -0.07231595 0.04486278 0.02484989]\n", "[ 0.01135905 -0.00242417 -0.072314 0.04485267 0.02484069]\n", "[ 0.01135049 -0.0024313 -0.07231205 0.04484257 0.0248315 ]\n", "[ 0.01134195 -0.00243841 -0.07231008 0.04483248 0.02482232]\n", "[ 0.01133343 -0.00244552 -0.07230811 0.0448224 0.02481315]\n", "[ 0.01132493 -0.00245261 -0.07230613 0.04481233 0.02480399]\n", "[ 0.01131646 -0.0024597 -0.07230413 0.04480228 0.02479484]\n", "[ 0.011308 -0.00246677 -0.07230213 0.04479223 0.0247857 ]\n", "[ 0.01129956 -0.00247383 -0.07230012 0.0447822 0.02477657]\n", "[ 0.01129114 -0.00248089 -0.0722981 0.04477218 0.02476745]\n", "[ 0.01128274 -0.00248793 -0.07229608 0.04476217 0.02475834]\n", "[ 0.01127436 -0.00249496 -0.07229404 0.04475217 0.02474924]\n", "[ 0.011266 -0.00250198 -0.072292 0.04474218 0.02474015]\n", "[ 0.01125766 -0.00250899 -0.07228994 0.0447322 0.02473108]\n", "[ 0.01124934 -0.00251599 -0.07228788 0.04472223 0.02472201]\n", "[ 0.01124104 -0.00252298 -0.07228581 0.04471227 0.02471295]\n", "[ 0.01123276 -0.00252996 -0.07228373 0.04470233 0.0247039 ]\n", "[ 0.0112245 -0.00253693 -0.07228164 0.04469239 0.02469486]\n", "[ 0.01121626 -0.00254389 -0.07227954 0.04468247 0.02468584]\n", "[ 0.01120803 -0.00255083 -0.07227743 0.04467256 0.02467682]\n", "[ 0.01119983 -0.00255777 -0.07227532 0.04466266 0.02466781]\n", "[ 0.01119165 -0.0025647 -0.0722732 0.04465277 0.02465881]\n", "[ 0.01118348 -0.00257161 -0.07227106 0.04464288 0.02464982]\n", "[ 0.01117534 -0.00257852 -0.07226892 0.04463302 0.02464084]\n", "[ 0.01116721 -0.00258542 -0.07226677 0.04462316 0.02463188]\n", "[ 0.01115911 -0.0025923 -0.07226462 0.04461331 0.02462292]\n", "[ 0.01115102 -0.00259918 -0.07226245 0.04460347 0.02461397]\n", "[ 0.01114296 -0.00260604 -0.07226028 0.04459365 0.02460503]\n", "[ 0.01113491 -0.0026129 -0.07225809 0.04458383 0.0245961 ]\n", "[ 0.01112688 -0.00261974 -0.0722559 0.04457402 0.02458719]\n", "[ 0.01111887 -0.00262658 -0.0722537 0.04456423 0.02457828]\n", "[ 0.01111088 -0.0026334 -0.07225149 0.04455445 0.02456938]\n", "[ 0.01110291 -0.00264021 -0.07224927 0.04454467 0.02456049]\n", "[ 0.01109495 -0.00264702 -0.07224705 0.04453491 0.02455161]\n", "[ 0.01108702 -0.00265381 -0.07224481 0.04452516 0.02454274]\n", "[ 0.01107911 -0.0026606 -0.07224257 0.04451542 0.02453388]\n", "[ 0.01107121 -0.00266737 -0.07224032 0.04450569 0.02452503]\n", "[ 0.01106333 -0.00267413 -0.07223806 0.04449597 0.02451619]\n", "[ 0.01105547 -0.00268089 -0.07223579 0.04448626 0.02450736]\n", "[ 0.01104764 -0.00268763 -0.07223352 0.04447656 0.02449854]\n", "[ 0.01103981 -0.00269436 -0.07223123 0.04446687 0.02448973]\n", "[ 0.01103201 -0.00270109 -0.07222894 0.04445719 0.02448092]\n", "[ 0.01102423 -0.0027078 -0.07222664 0.04444752 0.02447213]\n", "[ 0.01101647 -0.00271451 -0.07222433 0.04443786 0.02446335]\n", "[ 0.01100872 -0.0027212 -0.07222202 0.04442822 0.02445458]\n", "[ 0.01100099 -0.00272788 -0.07221969 0.04441858 0.02444581]\n", "[ 0.01099328 -0.00273456 -0.07221736 0.04440895 0.02443706]\n", "[ 0.01098559 -0.00274122 -0.07221502 0.04439934 0.02442831]\n", "[ 0.01097792 -0.00274788 -0.07221267 0.04438973 0.02441958]\n", "[ 0.01097027 -0.00275452 -0.07221031 0.04438014 0.02441085]\n", "[ 0.01096263 -0.00276116 -0.07220794 0.04437055 0.02440214]\n", "[ 0.01095502 -0.00276778 -0.07220557 0.04436097 0.02439343]\n", "[ 0.01094742 -0.0027744 -0.07220319 0.04435141 0.02438474]\n", "[ 0.01093984 -0.002781 -0.0722008 0.04434186 0.02437605]\n", "[ 0.01093227 -0.0027876 -0.0721984 0.04433231 0.02436737]\n", "[ 0.01092473 -0.00279418 -0.07219599 0.04432278 0.0243587 ]\n", "[ 0.0109172 -0.00280076 -0.07219358 0.04431325 0.02435004]\n", "[ 0.0109097 -0.00280733 -0.07219116 0.04430374 0.02434139]\n", "[ 0.01090221 -0.00281388 -0.07218873 0.04429424 0.02433275]\n", "[ 0.01089474 -0.00282043 -0.07218629 0.04428474 0.02432412]\n", "[ 0.01088728 -0.00282697 -0.07218384 0.04427526 0.0243155 ]\n", "[ 0.01087985 -0.0028335 -0.07218139 0.04426578 0.02430689]\n", "[ 0.01087243 -0.00284001 -0.07217893 0.04425632 0.02429828]\n", "[ 0.01086503 -0.00284652 -0.07217646 0.04424687 0.02428969]\n", "[ 0.01085765 -0.00285302 -0.07217398 0.04423742 0.0242811 ]\n", "[ 0.01085028 -0.00285951 -0.07217149 0.04422799 0.02427253]\n", "[ 0.01084294 -0.00286599 -0.072169 0.04421857 0.02426396]\n", "[ 0.01083561 -0.00287246 -0.0721665 0.04420915 0.0242554 ]\n", "[ 0.0108283 -0.00287893 -0.07216399 0.04419975 0.02424686]\n", "[ 0.01082101 -0.00288538 -0.07216147 0.04419036 0.02423832]\n", "[ 0.01081373 -0.00289182 -0.07215895 0.04418097 0.02422979]\n", "[ 0.01080647 -0.00289825 -0.07215641 0.0441716 0.02422127]\n", "[ 0.01079923 -0.00290468 -0.07215387 0.04416223 0.02421275]\n", "[ 0.01079201 -0.00291109 -0.07215133 0.04415288 0.02420425]\n", "[ 0.01078481 -0.0029175 -0.07214877 0.04414354 0.02419576]\n", "[ 0.01077762 -0.00292389 -0.07214621 0.0441342 0.02418727]\n", "[ 0.01077045 -0.00293028 -0.07214364 0.04412488 0.0241788 ]\n", "[ 0.0107633 -0.00293665 -0.07214106 0.04411556 0.02417033]\n", "[ 0.01075616 -0.00294302 -0.07213847 0.04410626 0.02416188]\n", "[ 0.01074904 -0.00294938 -0.07213588 0.04409696 0.02415343]\n", "[ 0.01074194 -0.00295573 -0.07213328 0.04408768 0.02414499]\n", "[ 0.01073486 -0.00296207 -0.07213067 0.0440784 0.02413656]\n", "[ 0.01072779 -0.0029684 -0.07212805 0.04406913 0.02412814]\n", "[ 0.01072075 -0.00297472 -0.07212543 0.04405988 0.02411972]\n", "[ 0.01071371 -0.00298103 -0.0721228 0.04405063 0.02411132]\n", "[ 0.0107067 -0.00298734 -0.07212016 0.04404139 0.02410293]\n", "[ 0.0106997 -0.00299363 -0.07211751 0.04403216 0.02409454]\n", "[ 0.01069272 -0.00299991 -0.07211486 0.04402295 0.02408616]\n", "[ 0.01068576 -0.00300619 -0.07211219 0.04401374 0.02407779]\n", "[ 0.01067881 -0.00301246 -0.07210953 0.04400454 0.02406944]\n", "[ 0.01067188 -0.00301871 -0.07210685 0.04399535 0.02406108]\n", "[ 0.01066497 -0.00302496 -0.07210416 0.04398617 0.02405274]\n", "[ 0.01065808 -0.0030312 -0.07210147 0.043977 0.02404441]\n", "[ 0.0106512 -0.00303743 -0.07209877 0.04396784 0.02403609]\n", "[ 0.01064434 -0.00304365 -0.07209607 0.04395869 0.02402777]\n", "[ 0.01063749 -0.00304986 -0.07209335 0.04394954 0.02401946]\n", "[ 0.01063066 -0.00305607 -0.07209063 0.04394041 0.02401117]\n", "[ 0.01062385 -0.00306226 -0.07208791 0.04393129 0.02400288]\n", "[ 0.01061706 -0.00306845 -0.07208517 0.04392217 0.0239946 ]\n", "[ 0.01061028 -0.00307462 -0.07208243 0.04391307 0.02398632]\n", "[ 0.01060352 -0.00308079 -0.07207968 0.04390397 0.02397806]\n", "[ 0.01059677 -0.00308695 -0.07207692 0.04389489 0.02396981]\n", "[ 0.01059004 -0.0030931 -0.07207415 0.04388581 0.02396156]\n", "[ 0.01058333 -0.00309924 -0.07207138 0.04387675 0.02395332]\n", "[ 0.01057664 -0.00310537 -0.0720686 0.04386769 0.02394509]\n", "[ 0.01056996 -0.00311149 -0.07206582 0.04385864 0.02393687]\n", "[ 0.0105633 -0.00311761 -0.07206302 0.0438496 0.02392866]\n", "[ 0.01055665 -0.00312371 -0.07206022 0.04384057 0.02392046]\n", "[ 0.01055002 -0.00312981 -0.07205741 0.04383155 0.02391226]\n", "[ 0.01054341 -0.0031359 -0.0720546 0.04382254 0.02390408]\n", "[ 0.01053681 -0.00314198 -0.07205178 0.04381354 0.0238959 ]\n", "[ 0.01053023 -0.00314805 -0.07204895 0.04380454 0.02388773]\n", "[ 0.01052367 -0.00315411 -0.07204611 0.04379556 0.02387957]\n", "[ 0.01051712 -0.00316016 -0.07204327 0.04378658 0.02387142]\n", "[ 0.01051059 -0.0031662 -0.07204042 0.04377762 0.02386327]\n", "[ 0.01050407 -0.00317224 -0.07203756 0.04376866 0.02385514]\n", "[ 0.01049757 -0.00317827 -0.07203469 0.04375971 0.02384701]\n", "[ 0.01049109 -0.00318428 -0.07203182 0.04375078 0.02383889]\n", "[ 0.01048462 -0.00319029 -0.07202894 0.04374185 0.02383078]\n", "[ 0.01047817 -0.00319629 -0.07202606 0.04373293 0.02382268]\n", "[ 0.01047174 -0.00320229 -0.07202317 0.04372402 0.02381459]\n", "[ 0.01046532 -0.00320827 -0.07202027 0.04371511 0.0238065 ]\n", "[ 0.01045891 -0.00321425 -0.07201736 0.04370622 0.02379842]\n", "[ 0.01045253 -0.00322021 -0.07201445 0.04369734 0.02379035]\n", "[ 0.01044615 -0.00322617 -0.07201153 0.04368846 0.02378229]\n", "[ 0.0104398 -0.00323212 -0.0720086 0.04367959 0.02377424]\n", "[ 0.01043346 -0.00323806 -0.07200566 0.04367074 0.0237662 ]\n", "[ 0.01042713 -0.00324399 -0.07200272 0.04366189 0.02375816]\n", "[ 0.01042082 -0.00324992 -0.07199977 0.04365305 0.02375013]\n", "[ 0.01041453 -0.00325583 -0.07199682 0.04364422 0.02374212]\n", "[ 0.01040826 -0.00326174 -0.07199386 0.0436354 0.0237341 ]\n", "[ 0.01040199 -0.00326764 -0.07199089 0.04362658 0.0237261 ]\n", "[ 0.01039575 -0.00327353 -0.07198791 0.04361778 0.02371811]\n", "[ 0.01038952 -0.00327941 -0.07198493 0.04360898 0.02371012]\n", "[ 0.0103833 -0.00328529 -0.07198194 0.0436002 0.02370214]\n", "[ 0.0103771 -0.00329115 -0.07197895 0.04359142 0.02369417]\n", "[ 0.01037092 -0.00329701 -0.07197594 0.04358265 0.02368621]\n", "[ 0.01036475 -0.00330286 -0.07197294 0.04357389 0.02367825]\n", "[ 0.0103586 -0.0033087 -0.07196992 0.04356514 0.02367031]\n", "[ 0.01035246 -0.00331453 -0.0719669 0.0435564 0.02366237]\n", "[ 0.01034634 -0.00332035 -0.07196387 0.04354766 0.02365444]\n", "[ 0.01034023 -0.00332617 -0.07196083 0.04353894 0.02364652]\n", "[ 0.01033414 -0.00333198 -0.07195779 0.04353022 0.0236386 ]\n", "[ 0.01032807 -0.00333778 -0.07195474 0.04352151 0.0236307 ]\n", "[ 0.010322 -0.00334357 -0.07195168 0.04351281 0.0236228 ]\n", "[ 0.01031596 -0.00334935 -0.07194862 0.04350412 0.02361491]\n", "[ 0.01030993 -0.00335512 -0.07194555 0.04349544 0.02360703]\n", "[ 0.01030391 -0.00336089 -0.07194248 0.04348677 0.02359915]\n", "[ 0.01029791 -0.00336665 -0.07193939 0.0434781 0.02359129]\n", "[ 0.01029193 -0.0033724 -0.07193631 0.04346945 0.02358343]\n", "[ 0.01028596 -0.00337814 -0.07193321 0.0434608 0.02357558]\n", "[ 0.01028 -0.00338388 -0.07193011 0.04345216 0.02356774]\n", "[ 0.01027406 -0.0033896 -0.071927 0.04344353 0.0235599 ]\n", "[ 0.01026814 -0.00339532 -0.07192389 0.04343491 0.02355207]\n", "[ 0.01026223 -0.00340103 -0.07192076 0.04342629 0.02354425]\n", "[ 0.01025633 -0.00340673 -0.07191764 0.04341769 0.02353644]\n", "[ 0.01025045 -0.00341242 -0.0719145 0.04340909 0.02352864]\n", "[ 0.01024459 -0.00341811 -0.07191136 0.0434005 0.02352084]\n", "[ 0.01023874 -0.00342379 -0.07190821 0.04339192 0.02351306]\n", "[ 0.0102329 -0.00342946 -0.07190506 0.04338335 0.02350528]\n", "[ 0.01022708 -0.00343512 -0.0719019 0.04337479 0.0234975 ]\n", "[ 0.01022128 -0.00344077 -0.07189873 0.04336623 0.02348974]\n", "[ 0.01021548 -0.00344642 -0.07189556 0.04335769 0.02348198]\n", "[ 0.01020971 -0.00345206 -0.07189238 0.04334915 0.02347423]\n", "[ 0.01020395 -0.00345769 -0.0718892 0.04334062 0.02346649]\n", "[ 0.0101982 -0.00346331 -0.07188601 0.0433321 0.02345876]\n", "[ 0.01019246 -0.00346892 -0.07188281 0.04332358 0.02345103]\n", "[ 0.01018675 -0.00347453 -0.0718796 0.04331508 0.02344331]\n", "[ 0.01018104 -0.00348013 -0.07187639 0.04330658 0.0234356 ]\n", "[ 0.01017535 -0.00348572 -0.07187318 0.04329809 0.0234279 ]\n", "[ 0.01016968 -0.0034913 -0.07186995 0.04328961 0.0234202 ]\n", "[ 0.01016402 -0.00349687 -0.07186672 0.04328114 0.02341251]\n", "[ 0.01015837 -0.00350244 -0.07186349 0.04327268 0.02340483]\n", "[ 0.01015274 -0.003508 -0.07186025 0.04326422 0.02339716]\n", "[ 0.01014712 -0.00351355 -0.071857 0.04325578 0.0233895 ]\n", "[ 0.01014152 -0.0035191 -0.07185374 0.04324734 0.02338184]\n", "[ 0.01013593 -0.00352463 -0.07185048 0.04323891 0.02337419]\n", "[ 0.01013036 -0.00353016 -0.07184722 0.04323048 0.02336654]\n", "[ 0.0101248 -0.00353568 -0.07184394 0.04322207 0.02335891]\n", "[ 0.01011925 -0.0035412 -0.07184066 0.04321366 0.02335128]\n", "[ 0.01011372 -0.0035467 -0.07183738 0.04320526 0.02334366]\n", "[ 0.0101082 -0.0035522 -0.07183409 0.04319687 0.02333605]\n", "[ 0.0101027 -0.00355769 -0.07183079 0.04318849 0.02332844]\n", "[ 0.01009721 -0.00356317 -0.07182749 0.04318012 0.02332084]\n", "[ 0.01009174 -0.00356865 -0.07182418 0.04317175 0.02331325]\n", "[ 0.01008628 -0.00357411 -0.07182086 0.04316339 0.02330567]\n", "[ 0.01008083 -0.00357957 -0.07181754 0.04315504 0.0232981 ]\n", "[ 0.0100754 -0.00358502 -0.07181421 0.0431467 0.02329053]\n", "[ 0.01006998 -0.00359047 -0.07181088 0.04313837 0.02328297]\n", "[ 0.01006457 -0.00359591 -0.07180754 0.04313004 0.02327541]\n", "[ 0.01005918 -0.00360134 -0.07180419 0.04312172 0.02326787]\n", "[ 0.0100538 -0.00360676 -0.07180084 0.04311341 0.02326033]\n", "[ 0.01004844 -0.00361217 -0.07179748 0.04310511 0.02325279]\n", "[ 0.01004309 -0.00361758 -0.07179412 0.04309681 0.02324527]\n", "[ 0.01003776 -0.00362298 -0.07179075 0.04308853 0.02323775]\n", "[ 0.01003243 -0.00362837 -0.07178738 0.04308025 0.02323024]\n", "[ 0.01002713 -0.00363376 -0.071784 0.04307198 0.02322274]\n", "[ 0.01002183 -0.00363913 -0.07178061 0.04306371 0.02321525]\n", "[ 0.01001655 -0.0036445 -0.07177721 0.04305546 0.02320776]\n", "[ 0.01001128 -0.00364986 -0.07177382 0.04304721 0.02320028]\n", "[ 0.01000603 -0.00365522 -0.07177041 0.04303897 0.0231928 ]\n", "[ 0.01000079 -0.00366057 -0.071767 0.04303074 0.02318534]\n", "[ 0.00999556 -0.00366591 -0.07176358 0.04302252 0.02317788]\n", "[ 0.00999035 -0.00367124 -0.07176016 0.0430143 0.02317042]\n", "[ 0.00998515 -0.00367657 -0.07175673 0.04300609 0.02316298]\n", "[ 0.00997997 -0.00368188 -0.0717533 0.04299789 0.02315554]\n", "[ 0.0099748 -0.00368719 -0.07174986 0.0429897 0.02314811]\n", "[ 0.00996964 -0.0036925 -0.07174641 0.04298151 0.02314069]\n", "[ 0.00996449 -0.00369779 -0.07174296 0.04297333 0.02313327]\n", "[ 0.00995936 -0.00370308 -0.07173951 0.04296516 0.02312586]\n", "[ 0.00995424 -0.00370836 -0.07173604 0.042957 0.02311846]\n", "[ 0.00994914 -0.00371364 -0.07173257 0.04294885 0.02311106]\n", "[ 0.00994404 -0.00371891 -0.0717291 0.0429407 0.02310367]\n", "[ 0.00993897 -0.00372417 -0.07172562 0.04293256 0.02309629]\n", "[ 0.0099339 -0.00372942 -0.07172213 0.04292443 0.02308892]\n", "[ 0.00992885 -0.00373467 -0.07171864 0.04291631 0.02308155]\n", "[ 0.00992381 -0.0037399 -0.07171515 0.04290819 0.02307419]\n", "[ 0.00991878 -0.00374514 -0.07171164 0.04290008 0.02306684]\n", "[ 0.00991377 -0.00375036 -0.07170814 0.04289198 0.02305949]\n", "[ 0.00990877 -0.00375558 -0.07170462 0.04288388 0.02305215]\n", "[ 0.00990379 -0.00376079 -0.0717011 0.0428758 0.02304482]\n", "[ 0.00989881 -0.00376599 -0.07169758 0.04286772 0.0230375 ]\n", "[ 0.00989385 -0.00377119 -0.07169405 0.04285965 0.02303018]\n", "[ 0.00988891 -0.00377637 -0.07169051 0.04285158 0.02302287]\n", "[ 0.00988397 -0.00378156 -0.07168697 0.04284353 0.02301556]\n", "[ 0.00987905 -0.00378673 -0.07168342 0.04283548 0.02300826]\n", "[ 0.00987414 -0.0037919 -0.07167987 0.04282744 0.02300097]\n", "[ 0.00986925 -0.00379706 -0.07167631 0.0428194 0.02299369]\n", "[ 0.00986437 -0.00380221 -0.07167275 0.04281138 0.02298641]\n", "[ 0.0098595 -0.00380736 -0.07166918 0.04280336 0.02297914]\n", "[ 0.00985464 -0.0038125 -0.0716656 0.04279534 0.02297188]\n", "[ 0.0098498 -0.00381763 -0.07166202 0.04278734 0.02296462]\n", "[ 0.00984497 -0.00382276 -0.07165843 0.04277934 0.02295737]\n", "[ 0.00984015 -0.00382787 -0.07165484 0.04277135 0.02295013]\n", "[ 0.00983534 -0.00383299 -0.07165125 0.04276337 0.02294289]\n", "[ 0.00983055 -0.00383809 -0.07164764 0.0427554 0.02293566]\n", "[ 0.00982577 -0.00384319 -0.07164404 0.04274743 0.02292844]\n", "[ 0.009821 -0.00384828 -0.07164042 0.04273947 0.02292122]\n", "[ 0.00981625 -0.00385336 -0.07163681 0.04273151 0.02291401]\n", "[ 0.00981151 -0.00385844 -0.07163318 0.04272357 0.02290681]\n", "[ 0.00980678 -0.00386351 -0.07162955 0.04271563 0.02289961]\n", "[ 0.00980206 -0.00386858 -0.07162592 0.0427077 0.02289242]\n", "[ 0.00979736 -0.00387363 -0.07162228 0.04269977 0.02288524]\n", "[ 0.00979267 -0.00387868 -0.07161863 0.04269186 0.02287807]\n", "[ 0.00978799 -0.00388373 -0.07161498 0.04268395 0.0228709 ]\n", "[ 0.00978332 -0.00388876 -0.07161133 0.04267604 0.02286373]\n", "[ 0.00977867 -0.00389379 -0.07160767 0.04266815 0.02285658]\n", "[ 0.00977402 -0.00389881 -0.071604 0.04266026 0.02284943]\n", "[ 0.00976939 -0.00390383 -0.07160033 0.04265238 0.02284229]\n", "[ 0.00976478 -0.00390884 -0.07159665 0.0426445 0.02283515]\n", "[ 0.00976017 -0.00391384 -0.07159297 0.04263664 0.02282802]\n", "[ 0.00975558 -0.00391884 -0.07158928 0.04262878 0.0228209 ]\n", "[ 0.009751 -0.00392383 -0.07158559 0.04262093 0.02281378]\n", "[ 0.00974643 -0.00392881 -0.07158189 0.04261308 0.02280667]\n", "[ 0.00974188 -0.00393379 -0.07157819 0.04260524 0.02279957]\n", "[ 0.00973733 -0.00393875 -0.07157448 0.04259741 0.02279247]\n", "[ 0.0097328 -0.00394372 -0.07157077 0.04258959 0.02278538]\n", "[ 0.00972828 -0.00394867 -0.07156705 0.04258177 0.0227783 ]\n", "[ 0.00972378 -0.00395362 -0.07156332 0.04257396 0.02277122]\n", "[ 0.00971928 -0.00395856 -0.07155959 0.04256615 0.02276415]\n", "[ 0.0097148 -0.0039635 -0.07155586 0.04255836 0.02275708]\n", "[ 0.00971033 -0.00396843 -0.07155212 0.04255057 0.02275003]\n", "[ 0.00970587 -0.00397335 -0.07154838 0.04254279 0.02274297]\n", "[ 0.00970142 -0.00397827 -0.07154463 0.04253501 0.02273593]\n", "[ 0.00969699 -0.00398318 -0.07154087 0.04252724 0.02272889]\n", "[ 0.00969257 -0.00398808 -0.07153711 0.04251948 0.02272186]\n", "[ 0.00968816 -0.00399298 -0.07153335 0.04251173 0.02271483]\n", "[ 0.00968376 -0.00399787 -0.07152958 0.04250398 0.02270781]\n", "[ 0.00967937 -0.00400275 -0.0715258 0.04249624 0.0227008 ]\n", "[ 0.009675 -0.00400763 -0.07152202 0.04248851 0.02269379]\n", "[ 0.00967063 -0.0040125 -0.07151824 0.04248078 0.02268679]\n", "[ 0.00966628 -0.00401736 -0.07151445 0.04247306 0.0226798 ]\n", "[ 0.00966194 -0.00402222 -0.07151065 0.04246535 0.02267281]\n", "[ 0.00965762 -0.00402707 -0.07150686 0.04245764 0.02266583]\n", "[ 0.0096533 -0.00403192 -0.07150305 0.04244994 0.02265885]\n", "[ 0.009649 -0.00403676 -0.07149924 0.04244225 0.02265188]\n", "[ 0.00964471 -0.00404159 -0.07149543 0.04243456 0.02264492]\n", "[ 0.00964043 -0.00404641 -0.07149161 0.04242688 0.02263797]\n", "[ 0.00963616 -0.00405123 -0.07148778 0.04241921 0.02263102]\n", "[ 0.0096319 -0.00405604 -0.07148395 0.04241154 0.02262407]\n", "[ 0.00962765 -0.00406085 -0.07148012 0.04240388 0.02261713]\n", "[ 0.00962342 -0.00406565 -0.07147628 0.04239623 0.0226102 ]\n", "[ 0.0096192 -0.00407044 -0.07147243 0.04238859 0.02260328]\n", "[ 0.00961499 -0.00407523 -0.07146859 0.04238095 0.02259636]\n", "[ 0.00961079 -0.00408001 -0.07146473 0.04237332 0.02258945]\n", "[ 0.0096066 -0.00408479 -0.07146087 0.04236569 0.02258254]\n", "[ 0.00960242 -0.00408956 -0.07145701 0.04235807 0.02257564]\n", "[ 0.00959826 -0.00409432 -0.07145314 0.04235046 0.02256875]\n", "[ 0.00959411 -0.00409907 -0.07144927 0.04234286 0.02256186]\n", "[ 0.00958996 -0.00410382 -0.07144539 0.04233526 0.02255498]\n", "[ 0.00958583 -0.00410857 -0.07144151 0.04232767 0.0225481 ]\n", "[ 0.00958172 -0.00411331 -0.07143762 0.04232008 0.02254123]\n", "[ 0.00957761 -0.00411804 -0.07143373 0.0423125 0.02253437]\n", "[ 0.00957351 -0.00412276 -0.07142983 0.04230493 0.02252751]\n", "[ 0.00956943 -0.00412748 -0.07142593 0.04229736 0.02252066]\n", "[ 0.00956535 -0.00413219 -0.07142202 0.0422898 0.02251381]\n", "[ 0.00956129 -0.0041369 -0.07141811 0.04228225 0.02250697]\n", "[ 0.00955724 -0.0041416 -0.07141419 0.04227471 0.02250014]\n", "[ 0.0095532 -0.00414629 -0.07141027 0.04226717 0.02249331]\n", "[ 0.00954917 -0.00415098 -0.07140635 0.04225963 0.02248649]\n", "[ 0.00954515 -0.00415566 -0.07140242 0.04225211 0.02247968]\n", "[ 0.00954115 -0.00416034 -0.07139848 0.04224459 0.02247287]\n", "[ 0.00953715 -0.00416501 -0.07139454 0.04223707 0.02246606]\n", "[ 0.00953317 -0.00416967 -0.0713906 0.04222957 0.02245927]\n", "[ 0.00952919 -0.00417433 -0.07138665 0.04222207 0.02245248]\n", "[ 0.00952523 -0.00417898 -0.07138269 0.04221457 0.02244569]\n", "[ 0.00952128 -0.00418362 -0.07137874 0.04220709 0.02243891]\n", "[ 0.00951734 -0.00418826 -0.07137477 0.04219961 0.02243214]\n", "[ 0.00951341 -0.0041929 -0.07137081 0.04219213 0.02242537]\n", "[ 0.00950949 -0.00419752 -0.07136683 0.04218466 0.02241861]\n", "[ 0.00950559 -0.00420214 -0.07136286 0.0421772 0.02241185]\n", "[ 0.00950169 -0.00420676 -0.07135887 0.04216975 0.0224051 ]\n", "[ 0.00949781 -0.00421137 -0.07135489 0.0421623 0.02239836]\n", "[ 0.00949393 -0.00421597 -0.0713509 0.04215485 0.02239162]\n", "[ 0.00949007 -0.00422057 -0.0713469 0.04214742 0.02238489]\n", "[ 0.00948622 -0.00422516 -0.0713429 0.04213999 0.02237816]\n", "[ 0.00948237 -0.00422974 -0.0713389 0.04213256 0.02237144]\n", "[ 0.00947854 -0.00423432 -0.07133489 0.04212515 0.02236473]\n", "[ 0.00947472 -0.0042389 -0.07133088 0.04211774 0.02235802]\n", "[ 0.00947091 -0.00424346 -0.07132686 0.04211033 0.02235132]\n", "[ 0.00946712 -0.00424803 -0.07132284 0.04210293 0.02234462]\n", "[ 0.00946333 -0.00425258 -0.07131881 0.04209554 0.02233793]\n", "[ 0.00945955 -0.00425713 -0.07131478 0.04208816 0.02233124]\n", "[ 0.00945578 -0.00426167 -0.07131075 0.04208078 0.02232456]\n", "[ 0.00945203 -0.00426621 -0.07130671 0.0420734 0.02231789]\n", "[ 0.00944828 -0.00427074 -0.07130266 0.04206603 0.02231122]\n", "[ 0.00944455 -0.00427527 -0.07129861 0.04205867 0.02230456]\n", "[ 0.00944082 -0.00427979 -0.07129456 0.04205132 0.0222979 ]\n", "[ 0.00943711 -0.00428431 -0.0712905 0.04204397 0.02229125]\n", "[ 0.00943341 -0.00428881 -0.07128644 0.04203663 0.02228461]\n", "[ 0.00942971 -0.00429332 -0.07128237 0.04202929 0.02227797]\n", "[ 0.00942603 -0.00429781 -0.0712783 0.04202196 0.02227133]\n", "[ 0.00942236 -0.00430231 -0.07127423 0.04201464 0.0222647 ]\n", "[ 0.0094187 -0.00430679 -0.07127015 0.04200732 0.02225808]\n", "[ 0.00941505 -0.00431127 -0.07126607 0.04200001 0.02225146]\n", "[ 0.00941141 -0.00431575 -0.07126198 0.0419927 0.02224485]\n", "[ 0.00940778 -0.00432021 -0.07125788 0.0419854 0.02223825]\n", "[ 0.00940416 -0.00432468 -0.07125379 0.04197811 0.02223165]\n", "[ 0.00940055 -0.00432913 -0.07124969 0.04197082 0.02222505]\n", "[ 0.00939695 -0.00433359 -0.07124558 0.04196354 0.02221846]\n", "[ 0.00939336 -0.00433803 -0.07124147 0.04195627 0.02221188]\n", "[ 0.00938979 -0.00434247 -0.07123736 0.041949 0.0222053 ]\n", "[ 0.00938622 -0.00434691 -0.07123324 0.04194174 0.02219873]\n", "[ 0.00938266 -0.00435133 -0.07122912 0.04193448 0.02219217]\n", "[ 0.00937911 -0.00435576 -0.07122499 0.04192723 0.02218561]\n", "[ 0.00937558 -0.00436017 -0.07122086 0.04191998 0.02217905]\n", "[ 0.00937205 -0.00436459 -0.07121672 0.04191275 0.0221725 ]\n", "[ 0.00936853 -0.00436899 -0.07121259 0.04190551 0.02216596]\n", "[ 0.00936503 -0.00437339 -0.07120844 0.04189829 0.02215942]\n", "[ 0.00936153 -0.00437779 -0.07120429 0.04189107 0.02215288]\n", "[ 0.00935804 -0.00438218 -0.07120014 0.04188385 0.02214636]\n", "[ 0.00935457 -0.00438656 -0.07119599 0.04187664 0.02213983]\n", "[ 0.0093511 -0.00439094 -0.07119183 0.04186944 0.02213332]\n", "[ 0.00934765 -0.00439531 -0.07118766 0.04186224 0.02212681]\n", "[ 0.0093442 -0.00439968 -0.07118349 0.04185505 0.0221203 ]\n", "[ 0.00934076 -0.00440404 -0.07117932 0.04184787 0.0221138 ]\n", "[ 0.00933734 -0.0044084 -0.07117514 0.04184069 0.02210731]\n", "[ 0.00933392 -0.00441275 -0.07117096 0.04183351 0.02210082]\n", "[ 0.00933052 -0.00441709 -0.07116678 0.04182634 0.02209433]\n", "[ 0.00932712 -0.00442143 -0.07116259 0.04181918 0.02208785]\n", "[ 0.00932373 -0.00442577 -0.07115839 0.04181203 0.02208138]\n", "[ 0.00932036 -0.00443009 -0.0711542 0.04180488 0.02207491]\n", "[ 0.00931699 -0.00443442 -0.07114999 0.04179773 0.02206845]\n", "[ 0.00931363 -0.00443873 -0.07114579 0.04179059 0.02206199]\n", "[ 0.00931029 -0.00444305 -0.07114158 0.04178346 0.02205554]\n", "[ 0.00930695 -0.00444735 -0.07113737 0.04177634 0.0220491 ]\n", "[ 0.00930362 -0.00445166 -0.07113315 0.04176921 0.02204266]\n", "[ 0.00930031 -0.00445595 -0.07112893 0.0417621 0.02203622]\n", "[ 0.009297 -0.00446024 -0.0711247 0.04175499 0.02202979]\n", "[ 0.0092937 -0.00446453 -0.07112047 0.04174789 0.02202336]\n", "[ 0.00929041 -0.00446881 -0.07111624 0.04174079 0.02201695]\n", "[ 0.00928713 -0.00447308 -0.071112 0.0417337 0.02201053]\n", "[ 0.00928386 -0.00447735 -0.07110776 0.04172661 0.02200412]\n", "[ 0.0092806 -0.00448161 -0.07110351 0.04171953 0.02199772]\n", "[ 0.00927736 -0.00448587 -0.07109926 0.04171245 0.02199132]\n", "[ 0.00927412 -0.00449013 -0.07109501 0.04170538 0.02198493]\n", "[ 0.00927089 -0.00449437 -0.07109075 0.04169832 0.02197854]\n", "[ 0.00926766 -0.00449862 -0.07108649 0.04169126 0.02197216]\n", "[ 0.00926445 -0.00450285 -0.07108222 0.04168421 0.02196578]\n", "[ 0.00926125 -0.00450708 -0.07107795 0.04167716 0.02195941]\n", "[ 0.00925806 -0.00451131 -0.07107368 0.04167012 0.02195304]\n", "[ 0.00925488 -0.00451553 -0.0710694 0.04166309 0.02194668]\n", "[ 0.0092517 -0.00451975 -0.07106512 0.04165606 0.02194032]\n", "[ 0.00924854 -0.00452396 -0.07106084 0.04164903 0.02193397]\n", "[ 0.00924539 -0.00452816 -0.07105655 0.04164202 0.02192762]\n", "[ 0.00924224 -0.00453237 -0.07105226 0.041635 0.02192128]\n", "[ 0.00923911 -0.00453656 -0.07104796 0.041628 0.02191495]\n", "[ 0.00923598 -0.00454075 -0.07104366 0.04162099 0.02190862]\n", "[ 0.00923286 -0.00454493 -0.07103936 0.041614 0.02190229]\n", "[ 0.00922976 -0.00454911 -0.07103505 0.04160701 0.02189597]\n", "[ 0.00922666 -0.00455329 -0.07103074 0.04160002 0.02188965]\n", "[ 0.00922357 -0.00455746 -0.07102642 0.04159304 0.02188334]\n", "[ 0.00922049 -0.00456162 -0.0710221 0.04158607 0.02187704]\n", "[ 0.00921742 -0.00456578 -0.07101778 0.0415791 0.02187074]\n", "[ 0.00921436 -0.00456993 -0.07101345 0.04157214 0.02186444]\n", "[ 0.00921131 -0.00457408 -0.07100912 0.04156518 0.02185815]\n", "[ 0.00920827 -0.00457823 -0.07100478 0.04155823 0.02185187]\n", "[ 0.00920523 -0.00458236 -0.07100045 0.04155128 0.02184559]\n", "[ 0.00920221 -0.0045865 -0.0709961 0.04154434 0.02183932]\n", "[ 0.00919919 -0.00459062 -0.07099176 0.04153741 0.02183305]\n", "[ 0.00919619 -0.00459475 -0.07098741 0.04153048 0.02182678]\n", "[ 0.00919319 -0.00459887 -0.07098305 0.04152355 0.02182052]\n", "[ 0.0091902 -0.00460298 -0.0709787 0.04151663 0.02181427]\n", "[ 0.00918723 -0.00460709 -0.07097434 0.04150972 0.02180802]\n", "[ 0.00918426 -0.00461119 -0.07096997 0.04150281 0.02180177]\n", "[ 0.0091813 -0.00461529 -0.0709656 0.04149591 0.02179553]\n", "[ 0.00917835 -0.00461938 -0.07096123 0.04148901 0.0217893 ]\n", "[ 0.0091754 -0.00462347 -0.07095686 0.04148212 0.02178307]\n", "[ 0.00917247 -0.00462755 -0.07095248 0.04147523 0.02177685]\n", "[ 0.00916955 -0.00463163 -0.07094809 0.04146835 0.02177063]\n", "[ 0.00916663 -0.0046357 -0.07094371 0.04146147 0.02176441]\n", "[ 0.00916372 -0.00463977 -0.07093932 0.0414546 0.0217582 ]\n", "[ 0.00916083 -0.00464383 -0.07093492 0.04144774 0.021752 ]\n", "[ 0.00915794 -0.00464789 -0.07093053 0.04144088 0.0217458 ]\n", "[ 0.00915506 -0.00465194 -0.07092613 0.04143402 0.0217396 ]\n", "[ 0.00915219 -0.00465599 -0.07092172 0.04142717 0.02173341]\n", "[ 0.00914933 -0.00466003 -0.07091731 0.04142033 0.02172723]\n", "[ 0.00914647 -0.00466407 -0.0709129 0.04141349 0.02172105]\n", "[ 0.00914363 -0.0046681 -0.07090849 0.04140666 0.02171487]\n", "[ 0.00914079 -0.00467213 -0.07090407 0.04139983 0.0217087 ]\n", "[ 0.00913797 -0.00467615 -0.07089964 0.04139301 0.02170254]\n", "[ 0.00913515 -0.00468017 -0.07089522 0.04138619 0.02169637]\n", "[ 0.00913234 -0.00468418 -0.07089079 0.04137938 0.02169022]\n", "[ 0.00912954 -0.00468819 -0.07088636 0.04137257 0.02168407]\n", "[ 0.00912675 -0.0046922 -0.07088192 0.04136577 0.02167792]\n", "[ 0.00912397 -0.00469619 -0.07087748 0.04135897 0.02167178]\n", "[ 0.00912119 -0.00470019 -0.07087303 0.04135218 0.02166564]\n", "[ 0.00911843 -0.00470418 -0.07086859 0.04134539 0.02165951]\n", "[ 0.00911567 -0.00470816 -0.07086414 0.04133861 0.02165338]\n", "[ 0.00911292 -0.00471214 -0.07085968 0.04133184 0.02164726]\n", "[ 0.00911018 -0.00471612 -0.07085523 0.04132507 0.02164115]\n", "[ 0.00910745 -0.00472009 -0.07085076 0.0413183 0.02163503]\n", "[ 0.00910473 -0.00472405 -0.0708463 0.04131154 0.02162892]\n", "[ 0.00910202 -0.00472801 -0.07084183 0.04130478 0.02162282]\n", "[ 0.00909931 -0.00473197 -0.07083736 0.04129803 0.02161672]\n", "[ 0.00909661 -0.00473592 -0.07083289 0.04129129 0.02161063]\n", "[ 0.00909393 -0.00473986 -0.07082841 0.04128455 0.02160454]\n", "[ 0.00909125 -0.0047438 -0.07082392 0.04127781 0.02159846]\n", "[ 0.00908857 -0.00474774 -0.07081944 0.04127108 0.02159238]\n", "[ 0.00908591 -0.00475167 -0.07081495 0.04126436 0.0215863 ]\n", "[ 0.00908326 -0.0047556 -0.07081046 0.04125764 0.02158023]\n", "[ 0.00908061 -0.00475952 -0.07080596 0.04125093 0.02157417]\n", "[ 0.00907797 -0.00476344 -0.07080146 0.04124422 0.02156811]\n", "[ 0.00907534 -0.00476735 -0.07079696 0.04123751 0.02156205]\n", "[ 0.00907272 -0.00477126 -0.07079246 0.04123081 0.021556 ]\n", "[ 0.00907011 -0.00477516 -0.07078795 0.04122412 0.02154995]\n", "[ 0.00906751 -0.00477906 -0.07078344 0.04121743 0.02154391]\n", "[ 0.00906491 -0.00478295 -0.07077892 0.04121075 0.02153787]\n", "[ 0.00906232 -0.00478684 -0.0707744 0.04120407 0.02153184]\n", "[ 0.00905974 -0.00479073 -0.07076988 0.04119739 0.02152581]\n", "[ 0.00905717 -0.00479461 -0.07076535 0.04119072 0.02151979]\n", "[ 0.00905461 -0.00479848 -0.07076083 0.04118406 0.02151377]\n", "[ 0.00905206 -0.00480235 -0.07075629 0.0411774 0.02150775]\n", "[ 0.00904951 -0.00480622 -0.07075176 0.04117075 0.02150174]\n", "[ 0.00904697 -0.00481008 -0.07074722 0.0411641 0.02149574]\n", "[ 0.00904444 -0.00481394 -0.07074268 0.04115745 0.02148974]\n", "[ 0.00904192 -0.00481779 -0.07073813 0.04115081 0.02148374]\n", "[ 0.00903941 -0.00482164 -0.07073358 0.04114418 0.02147775]\n", "[ 0.0090369 -0.00482548 -0.07072903 0.04113755 0.02147176]\n", "[ 0.00903441 -0.00482932 -0.07072448 0.04113092 0.02146578]\n", "[ 0.00903192 -0.00483316 -0.07071992 0.0411243 0.0214598 ]\n", "[ 0.00902944 -0.00483699 -0.07071536 0.04111769 0.02145383]\n", "[ 0.00902696 -0.00484081 -0.07071079 0.04111108 0.02144786]\n", "[ 0.0090245 -0.00484463 -0.07070622 0.04110447 0.0214419 ]\n", "[ 0.00902204 -0.00484845 -0.07070165 0.04109787 0.02143594]\n", "[ 0.00901959 -0.00485226 -0.07069708 0.04109128 0.02142998]\n", "[ 0.00901715 -0.00485607 -0.0706925 0.04108469 0.02142403]\n", "[ 0.00901472 -0.00485987 -0.07068792 0.0410781 0.02141808]\n", "[ 0.00901229 -0.00486367 -0.07068334 0.04107152 0.02141214]\n", "[ 0.00900988 -0.00486746 -0.07067875 0.04106495 0.02140621]\n", "[ 0.00900747 -0.00487125 -0.07067416 0.04105838 0.02140027]\n", "[ 0.00900507 -0.00487503 -0.07066956 0.04105181 0.02139434]\n", "[ 0.00900267 -0.00487881 -0.07066497 0.04104525 0.02138842]\n", "[ 0.00900029 -0.00488259 -0.07066037 0.04103869 0.0213825 ]\n", "[ 0.00899791 -0.00488636 -0.07065577 0.04103214 0.02137658]\n", "[ 0.00899554 -0.00489013 -0.07065116 0.04102559 0.02137067]\n", "[ 0.00899318 -0.00489389 -0.07064655 0.04101905 0.02136477]\n", "[ 0.00899083 -0.00489765 -0.07064194 0.04101251 0.02135887]\n", "[ 0.00898848 -0.0049014 -0.07063732 0.04100598 0.02135297]\n", "[ 0.00898614 -0.00490515 -0.0706327 0.04099945 0.02134707]\n", "[ 0.00898381 -0.00490889 -0.07062808 0.04099293 0.02134119]\n", "[ 0.00898149 -0.00491263 -0.07062346 0.04098641 0.0213353 ]\n", "[ 0.00897917 -0.00491637 -0.07061883 0.0409799 0.02132942]\n", "[ 0.00897687 -0.0049201 -0.0706142 0.04097339 0.02132355]\n", "[ 0.00897457 -0.00492383 -0.07060957 0.04096688 0.02131767]\n", "[ 0.00897228 -0.00492755 -0.07060493 0.04096038 0.02131181]\n", "[ 0.00896999 -0.00493127 -0.07060029 0.04095389 0.02130594]\n", "[ 0.00896772 -0.00493499 -0.07059565 0.0409474 0.02130009]\n", "[ 0.00896545 -0.0049387 -0.070591 0.04094091 0.02129423]\n", "[ 0.00896319 -0.0049424 -0.07058635 0.04093443 0.02128838]\n", "[ 0.00896093 -0.0049461 -0.0705817 0.04092795 0.02128254]\n", "[ 0.00895869 -0.0049498 -0.07057704 0.04092148 0.0212767 ]\n", "[ 0.00895645 -0.00495349 -0.07057239 0.04091502 0.02127086]\n", "[ 0.00895422 -0.00495718 -0.07056773 0.04090855 0.02126503]\n", "[ 0.008952 -0.00496086 -0.07056306 0.0409021 0.0212592 ]\n", "[ 0.00894978 -0.00496454 -0.07055839 0.04089564 0.02125337]\n", "[ 0.00894757 -0.00496822 -0.07055372 0.04088919 0.02124755]\n", "[ 0.00894537 -0.00497189 -0.07054905 0.04088275 0.02124174]\n", "[ 0.00894318 -0.00497556 -0.07054438 0.04087631 0.02123593]\n", "[ 0.00894099 -0.00497922 -0.0705397 0.04086988 0.02123012]\n", "[ 0.00893882 -0.00498288 -0.07053501 0.04086345 0.02122432]\n", "[ 0.00893665 -0.00498653 -0.07053033 0.04085702 0.02121852]\n", "[ 0.00893448 -0.00499018 -0.07052564 0.0408506 0.02121272]\n", "[ 0.00893233 -0.00499383 -0.07052095 0.04084418 0.02120693]\n", "[ 0.00893018 -0.00499747 -0.07051626 0.04083777 0.02120115]\n", "[ 0.00892804 -0.00500111 -0.07051156 0.04083136 0.02119537]\n", "[ 0.00892591 -0.00500474 -0.07050686 0.04082496 0.02118959]\n", "[ 0.00892378 -0.00500837 -0.07050216 0.04081856 0.02118382]\n", "[ 0.00892166 -0.005012 -0.07049746 0.04081217 0.02117805]\n", "[ 0.00891955 -0.00501562 -0.07049275 0.04080578 0.02117228]\n", "[ 0.00891745 -0.00501923 -0.07048804 0.04079939 0.02116652]\n", "[ 0.00891535 -0.00502285 -0.07048332 0.04079301 0.02116076]\n", "[ 0.00891326 -0.00502645 -0.07047861 0.04078664 0.02115501]\n", "[ 0.00891118 -0.00503006 -0.07047389 0.04078027 0.02114926]\n", "[ 0.0089091 -0.00503366 -0.07046917 0.0407739 0.02114352]\n", "[ 0.00890704 -0.00503725 -0.07046444 0.04076754 0.02113778]\n", "[ 0.00890498 -0.00504085 -0.07045971 0.04076118 0.02113204]\n", "[ 0.00890292 -0.00504443 -0.07045498 0.04075483 0.02112631]\n", "[ 0.00890088 -0.00504802 -0.07045025 0.04074848 0.02112058]\n", "[ 0.00889884 -0.0050516 -0.07044551 0.04074213 0.02111486]\n", "[ 0.00889681 -0.00505517 -0.07044077 0.04073579 0.02110914]\n", "[ 0.00889478 -0.00505874 -0.07043603 0.04072946 0.02110342]\n", "[ 0.00889277 -0.00506231 -0.07043129 0.04072313 0.02109771]\n", "[ 0.00889076 -0.00506587 -0.07042654 0.0407168 0.021092 ]\n", "[ 0.00888875 -0.00506943 -0.07042179 0.04071048 0.0210863 ]\n", "[ 0.00888676 -0.00507299 -0.07041704 0.04070416 0.0210806 ]\n", "[ 0.00888477 -0.00507654 -0.07041228 0.04069784 0.02107491]\n", "[ 0.00888279 -0.00508009 -0.07040752 0.04069153 0.02106921]\n", "[ 0.00888081 -0.00508363 -0.07040276 0.04068523 0.02106353]\n", "[ 0.00887885 -0.00508717 -0.070398 0.04067893 0.02105784]\n", "[ 0.00887688 -0.0050907 -0.07039323 0.04067263 0.02105216]\n", "[ 0.00887493 -0.00509424 -0.07038846 0.04066634 0.02104649]\n", "[ 0.00887299 -0.00509776 -0.07038369 0.04066005 0.02104082]\n", "[ 0.00887105 -0.00510129 -0.07037891 0.04065377 0.02103515]\n", "[ 0.00886911 -0.00510481 -0.07037413 0.04064749 0.02102949]\n", "[ 0.00886719 -0.00510832 -0.07036935 0.04064121 0.02102383]\n", "[ 0.00886527 -0.00511183 -0.07036457 0.04063494 0.02101817]\n", "[ 0.00886336 -0.00511534 -0.07035978 0.04062868 0.02101252]\n", "[ 0.00886145 -0.00511884 -0.070355 0.04062242 0.02100687]\n", "[ 0.00885956 -0.00512234 -0.07035021 0.04061616 0.02100123]\n", "[ 0.00885766 -0.00512584 -0.07034541 0.04060991 0.02099559]\n", "[ 0.00885578 -0.00512933 -0.07034062 0.04060366 0.02098996]\n", "[ 0.0088539 -0.00513282 -0.07033582 0.04059741 0.02098433]\n", "[ 0.00885203 -0.0051363 -0.07033101 0.04059117 0.0209787 ]\n", "[ 0.00885017 -0.00513978 -0.07032621 0.04058493 0.02097307]\n", "[ 0.00884831 -0.00514325 -0.0703214 0.0405787 0.02096745]\n", "[ 0.00884646 -0.00514673 -0.07031659 0.04057247 0.02096184]\n", "[ 0.00884462 -0.00515019 -0.07031178 0.04056625 0.02095623]\n", "[ 0.00884279 -0.00515366 -0.07030697 0.04056003 0.02095062]\n", "[ 0.00884096 -0.00515712 -0.07030215 0.04055382 0.02094501]\n", "[ 0.00883913 -0.00516058 -0.07029733 0.04054761 0.02093941]\n", "[ 0.00883732 -0.00516403 -0.07029251 0.0405414 0.02093382]\n", "[ 0.00883551 -0.00516748 -0.07028768 0.0405352 0.02092822]\n", "[ 0.00883371 -0.00517092 -0.07028285 0.040529 0.02092264]\n", "[ 0.00883191 -0.00517436 -0.07027802 0.0405228 0.02091705]\n", "[ 0.00883012 -0.0051778 -0.07027319 0.04051661 0.02091147]\n", "[ 0.00882834 -0.00518123 -0.07026835 0.04051043 0.02090589]\n", "[ 0.00882656 -0.00518466 -0.07026352 0.04050425 0.02090032]\n", "[ 0.00882479 -0.00518809 -0.07025867 0.04049807 0.02089475]\n", "[ 0.00882303 -0.00519151 -0.07025383 0.04049189 0.02088918]\n", "[ 0.00882128 -0.00519493 -0.07024899 0.04048573 0.02088362]\n", "[ 0.00881953 -0.00519834 -0.07024414 0.04047956 0.02087806]\n", "[ 0.00881778 -0.00520175 -0.07023929 0.0404734 0.02087251]\n", "[ 0.00881605 -0.00520516 -0.07023443 0.04046724 0.02086696]\n", "[ 0.00881432 -0.00520856 -0.07022958 0.04046109 0.02086141]\n", "[ 0.0088126 -0.00521196 -0.07022472 0.04045494 0.02085587]\n", "[ 0.00881088 -0.00521536 -0.07021986 0.0404488 0.02085033]\n", "[ 0.00880917 -0.00521875 -0.07021499 0.04044265 0.0208448 ]\n", "[ 0.00880747 -0.00522214 -0.07021013 0.04043652 0.02083926]\n", "[ 0.00880577 -0.00522552 -0.07020526 0.04043039 0.02083374]\n", "[ 0.00880408 -0.0052289 -0.07020039 0.04042426 0.02082821]\n", "[ 0.0088024 -0.00523228 -0.07019552 0.04041813 0.02082269]\n", "[ 0.00880072 -0.00523565 -0.07019064 0.04041201 0.02081718]\n", "[ 0.00879905 -0.00523902 -0.07018576 0.0404059 0.02081166]\n", "[ 0.00879738 -0.00524239 -0.07018088 0.04039978 0.02080615]\n", "[ 0.00879573 -0.00524575 -0.070176 0.04039368 0.02080065]\n", "[ 0.00879407 -0.00524911 -0.07017111 0.04038757 0.02079515]\n", "[ 0.00879243 -0.00525246 -0.07016622 0.04038147 0.02078965]\n", "[ 0.00879079 -0.00525581 -0.07016133 0.04037537 0.02078415]\n", "[ 0.00878916 -0.00525916 -0.07015644 0.04036928 0.02077866]\n", "[ 0.00878753 -0.00526251 -0.07015155 0.04036319 0.02077318]\n", "[ 0.00878591 -0.00526585 -0.07014665 0.04035711 0.02076769]\n", "[ 0.0087843 -0.00526918 -0.07014175 0.04035103 0.02076221]\n", "[ 0.00878269 -0.00527251 -0.07013685 0.04034495 0.02075674]\n", "[ 0.00878109 -0.00527584 -0.07013194 0.04033888 0.02075127]\n", "[ 0.0087795 -0.00527917 -0.07012703 0.04033281 0.0207458 ]\n", "[ 0.00877791 -0.00528249 -0.07012212 0.04032675 0.02074033]\n", "[ 0.00877633 -0.00528581 -0.07011721 0.04032069 0.02073487]\n", "[ 0.00877475 -0.00528912 -0.0701123 0.04031463 0.02072941]\n", "[ 0.00877318 -0.00529243 -0.07010738 0.04030858 0.02072396]\n", "[ 0.00877162 -0.00529574 -0.07010246 0.04030253 0.02071851]\n", "[ 0.00877006 -0.00529905 -0.07009754 0.04029649 0.02071306]\n", "[ 0.00876851 -0.00530235 -0.07009262 0.04029044 0.02070762]\n", "[ 0.00876697 -0.00530564 -0.07008769 0.04028441 0.02070218]\n", "[ 0.00876543 -0.00530894 -0.07008276 0.04027837 0.02069675]\n", "[ 0.0087639 -0.00531223 -0.07007783 0.04027235 0.02069131]\n", "[ 0.00876237 -0.00531551 -0.0700729 0.04026632 0.02068588]\n", "[ 0.00876085 -0.00531879 -0.07006796 0.0402603 0.02068046]\n", "[ 0.00875934 -0.00532207 -0.07006303 0.04025428 0.02067504]\n", "[ 0.00875783 -0.00532535 -0.07005809 0.04024827 0.02066962]\n", "[ 0.00875633 -0.00532862 -0.07005314 0.04024226 0.02066421]\n", "[ 0.00875483 -0.00533189 -0.0700482 0.04023625 0.02065879]\n", "[ 0.00875334 -0.00533515 -0.07004325 0.04023025 0.02065339]\n", "[ 0.00875186 -0.00533841 -0.0700383 0.04022425 0.02064798]\n", "[ 0.00875038 -0.00534167 -0.07003335 0.04021826 0.02064258]\n", "[ 0.00874891 -0.00534493 -0.0700284 0.04021227 0.02063719]\n", "[ 0.00874744 -0.00534818 -0.07002344 0.04020628 0.02063179]\n", "[ 0.00874599 -0.00535142 -0.07001848 0.0402003 0.0206264 ]\n", "[ 0.00874453 -0.00535467 -0.07001352 0.04019432 0.02062102]\n", "[ 0.00874309 -0.00535791 -0.07000856 0.04018834 0.02061564]\n", "[ 0.00874164 -0.00536115 -0.0700036 0.04018237 0.02061026]\n", "[ 0.00874021 -0.00536438 -0.06999863 0.0401764 0.02060488]\n", "[ 0.00873878 -0.00536761 -0.06999366 0.04017044 0.02059951]\n", "[ 0.00873736 -0.00537084 -0.06998869 0.04016448 0.02059414]\n", "[ 0.00873594 -0.00537406 -0.06998371 0.04015852 0.02058877]\n", "[ 0.00873453 -0.00537728 -0.06997874 0.04015257 0.02058341]\n", "[ 0.00873312 -0.0053805 -0.06997376 0.04014662 0.02057806]\n", "[ 0.00873172 -0.00538371 -0.06996878 0.04014067 0.0205727 ]\n", "[ 0.00873033 -0.00538692 -0.0699638 0.04013473 0.02056735]\n", "[ 0.00872894 -0.00539012 -0.06995881 0.0401288 0.020562 ]\n", "[ 0.00872756 -0.00539333 -0.06995382 0.04012286 0.02055666]\n", "[ 0.00872618 -0.00539653 -0.06994884 0.04011693 0.02055132]\n", "[ 0.00872481 -0.00539972 -0.06994384 0.040111 0.02054598]\n", "[ 0.00872345 -0.00540291 -0.06993885 0.04010508 0.02054064]\n", "[ 0.00872209 -0.0054061 -0.06993386 0.04009916 0.02053531]\n", "[ 0.00872074 -0.00540929 -0.06992886 0.04009325 0.02052999]\n", "[ 0.00871939 -0.00541247 -0.06992386 0.04008734 0.02052466]\n", "[ 0.00871805 -0.00541565 -0.06991886 0.04008143 0.02051934]\n", "[ 0.00871671 -0.00541882 -0.06991385 0.04007552 0.02051403]\n", "[ 0.00871538 -0.005422 -0.06990884 0.04006962 0.02050871]\n", "[ 0.00871406 -0.00542517 -0.06990384 0.04006373 0.0205034 ]\n", "[ 0.00871274 -0.00542833 -0.06989883 0.04005783 0.0204981 ]\n", "[ 0.00871143 -0.00543149 -0.06989381 0.04005194 0.02049279]\n", "[ 0.00871012 -0.00543465 -0.0698888 0.04004606 0.02048749]\n", "[ 0.00870882 -0.00543781 -0.06988378 0.04004017 0.0204822 ]\n", "[ 0.00870752 -0.00544096 -0.06987876 0.04003429 0.0204769 ]\n", "[ 0.00870623 -0.00544411 -0.06987374 0.04002842 0.02047161]\n", "[ 0.00870495 -0.00544726 -0.06986872 0.04002255 0.02046633]\n", "[ 0.00870367 -0.0054504 -0.06986369 0.04001668 0.02046104]\n", "[ 0.0087024 -0.00545354 -0.06985867 0.04001082 0.02045576]\n", "[ 0.00870113 -0.00545667 -0.06985364 0.04000495 0.02045049]\n", "[ 0.00869987 -0.0054598 -0.0698486 0.0399991 0.02044521]\n", "[ 0.00869861 -0.00546293 -0.06984357 0.03999324 0.02043994]\n", "[ 0.00869736 -0.00546606 -0.06983854 0.03998739 0.02043468]\n", "[ 0.00869612 -0.00546918 -0.0698335 0.03998155 0.02042941]\n", "[ 0.00869488 -0.0054723 -0.06982846 0.03997571 0.02042415]\n", "[ 0.00869364 -0.00547542 -0.06982342 0.03996987 0.0204189 ]\n", "[ 0.00869242 -0.00547853 -0.06981837 0.03996403 0.02041364]\n", "[ 0.00869119 -0.00548164 -0.06981333 0.0399582 0.02040839]\n", "[ 0.00868998 -0.00548475 -0.06980828 0.03995237 0.02040315]\n", "[ 0.00868876 -0.00548785 -0.06980323 0.03994654 0.0203979 ]\n", "[ 0.00868756 -0.00549095 -0.06979818 0.03994072 0.02039266]\n", "[ 0.00868636 -0.00549405 -0.06979312 0.03993491 0.02038742]\n", "[ 0.00868516 -0.00549714 -0.06978807 0.03992909 0.02038219]\n", "[ 0.00868397 -0.00550023 -0.06978301 0.03992328 0.02037696]\n", "[ 0.00868279 -0.00550332 -0.06977795 0.03991747 0.02037173]\n", "[ 0.00868161 -0.0055064 -0.06977289 0.03991167 0.02036651]\n", "[ 0.00868044 -0.00550948 -0.06976782 0.03990587 0.02036129]\n", "[ 0.00867927 -0.00551256 -0.06976276 0.03990007 0.02035607]\n", "[ 0.00867811 -0.00551564 -0.06975769 0.03989428 0.02035086]\n", "[ 0.00867695 -0.00551871 -0.06975262 0.03988849 0.02034565]\n", "[ 0.0086758 -0.00552178 -0.06974755 0.0398827 0.02034044]\n", "[ 0.00867465 -0.00552484 -0.06974248 0.03987692 0.02033523]\n", "[ 0.00867351 -0.0055279 -0.0697374 0.03987114 0.02033003]\n", "[ 0.00867237 -0.00553096 -0.06973232 0.03986536 0.02032483]\n", "[ 0.00867124 -0.00553402 -0.06972724 0.03985959 0.02031964]\n", "[ 0.00867012 -0.00553707 -0.06972216 0.03985382 0.02031445]\n", "[ 0.008669 -0.00554012 -0.06971708 0.03984806 0.02030926]\n", "[ 0.00866789 -0.00554316 -0.06971199 0.03984229 0.02030407]\n", "[ 0.00866678 -0.00554621 -0.06970691 0.03983654 0.02029889]\n", "[ 0.00866567 -0.00554925 -0.06970182 0.03983078 0.02029371]\n", "[ 0.00866457 -0.00555228 -0.06969673 0.03982503 0.02028854]\n", "[ 0.00866348 -0.00555532 -0.06969163 0.03981928 0.02028336]\n", "[ 0.00866239 -0.00555835 -0.06968654 0.03981354 0.02027819]\n", "[ 0.00866131 -0.00556138 -0.06968144 0.03980779 0.02027303]\n", "[ 0.00866023 -0.0055644 -0.06967634 0.03980206 0.02026786]\n", "[ 0.00865916 -0.00556742 -0.06967124 0.03979632 0.0202627 ]\n", "[ 0.00865809 -0.00557044 -0.06966614 0.03979059 0.02025755]\n", "[ 0.00865703 -0.00557346 -0.06966104 0.03978486 0.02025239]\n", "[ 0.00865598 -0.00557647 -0.06965593 0.03977914 0.02024724]\n", "[ 0.00865492 -0.00557948 -0.06965082 0.03977342 0.02024209]\n", "[ 0.00865388 -0.00558248 -0.06964571 0.0397677 0.02023695]\n", "[ 0.00865284 -0.00558549 -0.0696406 0.03976198 0.02023181]\n", "[ 0.0086518 -0.00558849 -0.06963549 0.03975627 0.02022667]\n", "[ 0.00865077 -0.00559148 -0.06963037 0.03975056 0.02022153]\n", "[ 0.00864975 -0.00559448 -0.06962526 0.03974486 0.0202164 ]\n", "[ 0.00864872 -0.00559747 -0.06962014 0.03973916 0.02021127]\n", "[ 0.00864771 -0.00560046 -0.06961502 0.03973346 0.02020615]\n", "[ 0.0086467 -0.00560344 -0.06960989 0.03972777 0.02020102]\n", "[ 0.00864569 -0.00560642 -0.06960477 0.03972207 0.0201959 ]\n", "[ 0.00864469 -0.0056094 -0.06959964 0.03971639 0.02019079]\n", "[ 0.0086437 -0.00561238 -0.06959452 0.0397107 0.02018567]\n", "[ 0.00864271 -0.00561535 -0.06958939 0.03970502 0.02018056]\n", "[ 0.00864172 -0.00561832 -0.06958425 0.03969934 0.02017545]\n", "[ 0.00864074 -0.00562129 -0.06957912 0.03969367 0.02017035]\n", "[ 0.00863977 -0.00562425 -0.06957399 0.039688 0.02016525]\n", "[ 0.0086388 -0.00562721 -0.06956885 0.03968233 0.02016015]\n", "[ 0.00863783 -0.00563017 -0.06956371 0.03967666 0.02015505]\n", "[ 0.00863687 -0.00563313 -0.06955857 0.039671 0.02014996]\n", "[ 0.00863592 -0.00563608 -0.06955343 0.03966534 0.02014487]\n", "[ 0.00863497 -0.00563903 -0.06954828 0.03965969 0.02013979]\n", "[ 0.00863402 -0.00564197 -0.06954314 0.03965404 0.0201347 ]\n", "[ 0.00863308 -0.00564492 -0.06953799 0.03964839 0.02012962]\n", "[ 0.00863215 -0.00564786 -0.06953284 0.03964274 0.02012455]\n", "[ 0.00863122 -0.00565079 -0.06952769 0.0396371 0.02011947]\n", "[ 0.00863029 -0.00565373 -0.06952254 0.03963146 0.0201144 ]\n", "[ 0.00862937 -0.00565666 -0.06951738 0.03962583 0.02010933]\n", "[ 0.00862846 -0.00565959 -0.06951223 0.0396202 0.02010427]\n", "[ 0.00862755 -0.00566251 -0.06950707 0.03961457 0.0200992 ]\n", "[ 0.00862664 -0.00566544 -0.06950191 0.03960894 0.02009414]\n", "[ 0.00862574 -0.00566836 -0.06949675 0.03960332 0.02008909]\n", "[ 0.00862485 -0.00567127 -0.06949158 0.0395977 0.02008403]\n", "[ 0.00862396 -0.00567419 -0.06948642 0.03959208 0.02007898]\n", "[ 0.00862307 -0.0056771 -0.06948125 0.03958647 0.02007394]\n", "[ 0.00862219 -0.00568001 -0.06947608 0.03958086 0.02006889]\n", "[ 0.00862131 -0.00568291 -0.06947091 0.03957525 0.02006385]\n", "[ 0.00862044 -0.00568582 -0.06946574 0.03956965 0.02005881]\n", "[ 0.00861957 -0.00568872 -0.06946057 0.03956405 0.02005377]\n", "[ 0.00861871 -0.00569161 -0.06945539 0.03955845 0.02004874]\n", "[ 0.00861785 -0.00569451 -0.06945022 0.03955286 0.02004371]\n", "[ 0.008617 -0.0056974 -0.06944504 0.03954727 0.02003868]\n", "[ 0.00861615 -0.00570029 -0.06943986 0.03954168 0.02003366]\n", "[ 0.00861531 -0.00570317 -0.06943468 0.03953609 0.02002864]\n", "[ 0.00861447 -0.00570606 -0.06942949 0.03953051 0.02002362]\n", "[ 0.00861364 -0.00570894 -0.06942431 0.03952493 0.02001861]\n", "[ 0.00861281 -0.00571181 -0.06941912 0.03951936 0.02001359]\n", "[ 0.00861199 -0.00571469 -0.06941393 0.03951379 0.02000858]\n", "[ 0.00861117 -0.00571756 -0.06940875 0.03950822 0.02000358]\n", "[ 0.00861035 -0.00572043 -0.06940355 0.03950265 0.01999857]\n", "[ 0.00860954 -0.00572329 -0.06939836 0.03949709 0.01999357]\n", "[ 0.00860874 -0.00572616 -0.06939317 0.03949153 0.01998857]\n", "[ 0.00860794 -0.00572902 -0.06938797 0.03948597 0.01998358]\n", "[ 0.00860714 -0.00573187 -0.06938277 0.03948042 0.01997859]\n", "[ 0.00860635 -0.00573473 -0.06937757 0.03947487 0.0199736 ]\n", "[ 0.00860556 -0.00573758 -0.06937237 0.03946932 0.01996861]\n", "[ 0.00860478 -0.00574043 -0.06936717 0.03946378 0.01996363]\n", "[ 0.008604 -0.00574328 -0.06936196 0.03945824 0.01995864]\n", "[ 0.00860323 -0.00574612 -0.06935676 0.0394527 0.01995367]\n", "[ 0.00860246 -0.00574896 -0.06935155 0.03944717 0.01994869]\n", "[ 0.0086017 -0.0057518 -0.06934634 0.03944163 0.01994372]\n", "[ 0.00860094 -0.00575463 -0.06934113 0.0394361 0.01993875]\n", "[ 0.00860019 -0.00575747 -0.06933592 0.03943058 0.01993378]\n", "[ 0.00859944 -0.0057603 -0.0693307 0.03942506 0.01992882]\n", "[ 0.00859869 -0.00576312 -0.06932549 0.03941954 0.01992386]\n", "[ 0.00859795 -0.00576595 -0.06932027 0.03941402 0.0199189 ]\n", "[ 0.00859721 -0.00576877 -0.06931505 0.03940851 0.01991394]\n", "[ 0.00859648 -0.00577159 -0.06930983 0.039403 0.01990899]\n", "[ 0.00859575 -0.00577441 -0.06930461 0.03939749 0.01990404]\n", "[ 0.00859503 -0.00577722 -0.06929939 0.03939198 0.01989909]\n", "[ 0.00859431 -0.00578003 -0.06929416 0.03938648 0.01989415]\n", "[ 0.0085936 -0.00578284 -0.06928894 0.03938098 0.01988921]\n", "[ 0.00859289 -0.00578564 -0.06928371 0.03937549 0.01988427]\n", "[ 0.00859219 -0.00578845 -0.06927848 0.03937 0.01987933]\n", "[ 0.00859149 -0.00579125 -0.06927325 0.03936451 0.0198744 ]\n", "[ 0.00859079 -0.00579404 -0.06926802 0.03935902 0.01986947]\n", "[ 0.0085901 -0.00579684 -0.06926278 0.03935354 0.01986454]\n", "[ 0.00858941 -0.00579963 -0.06925755 0.03934806 0.01985961]\n", "[ 0.00858873 -0.00580242 -0.06925231 0.03934258 0.01985469]\n", "[ 0.00858805 -0.00580521 -0.06924707 0.0393371 0.01984977]\n", "[ 0.00858738 -0.00580799 -0.06924183 0.03933163 0.01984486]\n", "[ 0.00858671 -0.00581077 -0.06923659 0.03932616 0.01983994]\n", "[ 0.00858604 -0.00581355 -0.06923135 0.0393207 0.01983503]\n", "[ 0.00858538 -0.00581633 -0.0692261 0.03931524 0.01983012]\n", "[ 0.00858473 -0.0058191 -0.06922086 0.03930978 0.01982522]\n", "[ 0.00858407 -0.00582187 -0.06921561 0.03930432 0.01982031]\n", "[ 0.00858343 -0.00582464 -0.06921036 0.03929886 0.01981541]\n", "[ 0.00858278 -0.00582741 -0.06920511 0.03929341 0.01981051]\n", "[ 0.00858215 -0.00583017 -0.06919986 0.03928797 0.01980562]\n", "[ 0.00858151 -0.00583293 -0.06919461 0.03928252 0.01980073]\n", "[ 0.00858088 -0.00583569 -0.06918935 0.03927708 0.01979584]\n", "[ 0.00858026 -0.00583844 -0.0691841 0.03927164 0.01979095]\n", "[ 0.00857963 -0.00584119 -0.06917884 0.0392662 0.01978607]\n", "[ 0.00857902 -0.00584394 -0.06917358 0.03926077 0.01978118]\n", "[ 0.0085784 -0.00584669 -0.06916832 0.03925534 0.01977631]\n", "[ 0.00857779 -0.00584944 -0.06916306 0.03924991 0.01977143]\n", "[ 0.00857719 -0.00585218 -0.06915779 0.03924449 0.01976656]\n", "[ 0.00857659 -0.00585492 -0.06915253 0.03923906 0.01976168]\n", "[ 0.00857599 -0.00585766 -0.06914726 0.03923364 0.01975682]\n", "[ 0.0085754 -0.00586039 -0.069142 0.03922823 0.01975195]\n", "[ 0.00857482 -0.00586312 -0.06913673 0.03922281 0.01974709]\n", "[ 0.00857423 -0.00586585 -0.06913146 0.0392174 0.01974223]\n", "[ 0.00857365 -0.00586858 -0.06912618 0.039212 0.01973737]\n", "[ 0.00857308 -0.0058713 -0.06912091 0.03920659 0.01973251]\n", "[ 0.00857251 -0.00587403 -0.06911564 0.03920119 0.01972766]\n", "[ 0.00857194 -0.00587674 -0.06911036 0.03919579 0.01972281]\n", "[ 0.00857138 -0.00587946 -0.06910508 0.03919039 0.01971797]\n", "[ 0.00857082 -0.00588218 -0.06909981 0.039185 0.01971312]\n", "[ 0.00857027 -0.00588489 -0.06909453 0.03917961 0.01970828]\n", "[ 0.00856972 -0.0058876 -0.06908924 0.03917422 0.01970344]\n", "[ 0.00856917 -0.0058903 -0.06908396 0.03916884 0.0196986 ]\n", "[ 0.00856863 -0.00589301 -0.06907868 0.03916346 0.01969377]\n", "[ 0.00856809 -0.00589571 -0.06907339 0.03915808 0.01968894]\n", "[ 0.00856756 -0.00589841 -0.0690681 0.0391527 0.01968411]\n", "[ 0.00856703 -0.0059011 -0.06906282 0.03914733 0.01967928]\n", "[ 0.0085665 -0.0059038 -0.06905753 0.03914195 0.01967446]\n", "[ 0.00856598 -0.00590649 -0.06905224 0.03913659 0.01966964]\n", "[ 0.00856547 -0.00590918 -0.06904694 0.03913122 0.01966482]\n", "[ 0.00856495 -0.00591187 -0.06904165 0.03912586 0.01966 ]\n", "[ 0.00856445 -0.00591455 -0.06903635 0.0391205 0.01965519]\n", "[ 0.00856394 -0.00591723 -0.06903106 0.03911514 0.01965038]\n", "[ 0.00856344 -0.00591991 -0.06902576 0.03910979 0.01964557]\n", "[ 0.00856294 -0.00592259 -0.06902046 0.03910444 0.01964076]\n", "[ 0.00856245 -0.00592526 -0.06901516 0.03909909 0.01963596]\n", "[ 0.00856196 -0.00592793 -0.06900986 0.03909374 0.01963116]\n", "[ 0.00856148 -0.0059306 -0.06900456 0.0390884 0.01962636]\n", "[ 0.008561 -0.00593327 -0.06899925 0.03908306 0.01962157]\n", "[ 0.00856052 -0.00593593 -0.06899395 0.03907772 0.01961677]\n", "[ 0.00856005 -0.0059386 -0.06898864 0.03907239 0.01961198]\n", "[ 0.00855958 -0.00594125 -0.06898333 0.03906705 0.0196072 ]\n", "[ 0.00855911 -0.00594391 -0.06897802 0.03906172 0.01960241]\n", "[ 0.00855865 -0.00594657 -0.06897271 0.0390564 0.01959763]\n", "[ 0.0085582 -0.00594922 -0.0689674 0.03905107 0.01959285]\n", "[ 0.00855774 -0.00595187 -0.06896209 0.03904575 0.01958807]\n", "[ 0.0085573 -0.00595452 -0.06895677 0.03904043 0.0195833 ]\n", "[ 0.00855685 -0.00595716 -0.06895146 0.03903512 0.01957852]\n", "[ 0.00855641 -0.0059598 -0.06894614 0.0390298 0.01957375]\n", "[ 0.00855597 -0.00596244 -0.06894082 0.03902449 0.01956898]\n", "[ 0.00855554 -0.00596508 -0.0689355 0.03901919 0.01956422]\n", "[ 0.00855511 -0.00596772 -0.06893018 0.03901388 0.01955946]\n", "[ 0.00855469 -0.00597035 -0.06892486 0.03900858 0.0195547 ]\n", "[ 0.00855426 -0.00597298 -0.06891954 0.03900328 0.01954994]\n", "[ 0.00855385 -0.00597561 -0.06891421 0.03899798 0.01954518]\n", "[ 0.00855343 -0.00597824 -0.06890889 0.03899269 0.01954043]\n", "[ 0.00855302 -0.00598086 -0.06890356 0.0389874 0.01953568]\n", "[ 0.00855262 -0.00598348 -0.06889823 0.03898211 0.01953093]\n", "[ 0.00855221 -0.0059861 -0.0688929 0.03897682 0.01952619]\n", "[ 0.00855182 -0.00598872 -0.06888757 0.03897154 0.01952144]\n", "[ 0.00855142 -0.00599133 -0.06888224 0.03896626 0.0195167 ]\n", "[ 0.00855103 -0.00599394 -0.0688769 0.03896098 0.01951197]\n", "[ 0.00855064 -0.00599655 -0.06887157 0.0389557 0.01950723]\n", "[ 0.00855026 -0.00599916 -0.06886623 0.03895043 0.0195025 ]\n", "[ 0.00854988 -0.00600176 -0.0688609 0.03894516 0.01949777]\n", "[ 0.00854951 -0.00600436 -0.06885556 0.03893989 0.01949304]\n", "[ 0.00854913 -0.00600696 -0.06885022 0.03893463 0.01948831]\n", "[ 0.00854877 -0.00600956 -0.06884488 0.03892936 0.01948359]\n", "[ 0.0085484 -0.00601216 -0.06883954 0.0389241 0.01947887]\n", "[ 0.00854804 -0.00601475 -0.0688342 0.03891885 0.01947415]\n", "[ 0.00854769 -0.00601734 -0.06882885 0.03891359 0.01946943]\n", "[ 0.00854733 -0.00601993 -0.06882351 0.03890834 0.01946472]\n", "[ 0.00854698 -0.00602252 -0.06881816 0.03890309 0.01946001]\n", "[ 0.00854664 -0.0060251 -0.06881281 0.03889784 0.0194553 ]\n", "[ 0.0085463 -0.00602768 -0.06880746 0.0388926 0.01945059]\n", "[ 0.00854596 -0.00603026 -0.06880211 0.03888736 0.01944589]\n", "[ 0.00854562 -0.00603284 -0.06879676 0.03888212 0.01944119]\n", "[ 0.00854529 -0.00603541 -0.06879141 0.03887688 0.01943649]\n", "[ 0.00854497 -0.00603798 -0.06878606 0.03887165 0.01943179]\n", "[ 0.00854464 -0.00604055 -0.0687807 0.03886642 0.0194271 ]\n", "[ 0.00854432 -0.00604312 -0.06877535 0.03886119 0.0194224 ]\n", "[ 0.00854401 -0.00604569 -0.06876999 0.03885596 0.01941771]\n", "[ 0.00854369 -0.00604825 -0.06876463 0.03885074 0.01941303]\n", "[ 0.00854339 -0.00605081 -0.06875927 0.03884552 0.01940834]\n", "[ 0.00854308 -0.00605337 -0.06875391 0.0388403 0.01940366]\n", "[ 0.00854278 -0.00605593 -0.06874855 0.03883508 0.01939898]\n", "[ 0.00854248 -0.00605848 -0.06874319 0.03882987 0.0193943 ]\n", "[ 0.00854219 -0.00606103 -0.06873783 0.03882466 0.01938962]\n", "[ 0.0085419 -0.00606358 -0.06873246 0.03881945 0.01938495]\n", "[ 0.00854161 -0.00606613 -0.06872709 0.03881424 0.01938028]\n", "[ 0.00854133 -0.00606868 -0.06872173 0.03880904 0.01937561]\n", "[ 0.00854105 -0.00607122 -0.06871636 0.03880384 0.01937095]\n", "[ 0.00854077 -0.00607376 -0.06871099 0.03879864 0.01936628]\n", "[ 0.0085405 -0.0060763 -0.06870562 0.03879345 0.01936162]\n", "[ 0.00854023 -0.00607883 -0.06870025 0.03878825 0.01935696]\n", "[ 0.00853996 -0.00608137 -0.06869488 0.03878306 0.0193523 ]\n", "[ 0.0085397 -0.0060839 -0.0686895 0.03877788 0.01934765]\n", "[ 0.00853944 -0.00608643 -0.06868413 0.03877269 0.019343 ]\n", "[ 0.00853919 -0.00608896 -0.06867875 0.03876751 0.01933835]\n", "[ 0.00853894 -0.00609148 -0.06867338 0.03876233 0.0193337 ]\n", "[ 0.00853869 -0.00609401 -0.068668 0.03875715 0.01932905]\n", "[ 0.00853844 -0.00609653 -0.06866262 0.03875197 0.01932441]\n", "[ 0.0085382 -0.00609905 -0.06865724 0.0387468 0.01931977]\n", "[ 0.00853797 -0.00610156 -0.06865186 0.03874163 0.01931513]\n", "[ 0.00853773 -0.00610408 -0.06864648 0.03873646 0.0193105 ]\n", "[ 0.0085375 -0.00610659 -0.06864109 0.03873129 0.01930586]\n", "[ 0.00853728 -0.0061091 -0.06863571 0.03872613 0.01930123]\n", "[ 0.00853705 -0.00611161 -0.06863032 0.03872097 0.0192966 ]\n", "[ 0.00853683 -0.00611411 -0.06862494 0.03871581 0.01929197]\n", "[ 0.00853662 -0.00611662 -0.06861955 0.03871066 0.01928735]\n", "[ 0.0085364 -0.00611912 -0.06861416 0.0387055 0.01928273]\n", "[ 0.00853619 -0.00612162 -0.06860877 0.03870035 0.01927811]\n", "[ 0.00853599 -0.00612411 -0.06860338 0.0386952 0.01927349]\n", "[ 0.00853578 -0.00612661 -0.06859799 0.03869006 0.01926887]\n", "[ 0.00853558 -0.0061291 -0.0685926 0.03868491 0.01926426]\n", "[ 0.00853539 -0.00613159 -0.0685872 0.03867977 0.01925965]\n", "[ 0.0085352 -0.00613408 -0.06858181 0.03867463 0.01925504]\n", "[ 0.00853501 -0.00613657 -0.06857641 0.0386695 0.01925043]\n", "[ 0.00853482 -0.00613905 -0.06857101 0.03866436 0.01924583]\n", "[ 0.00853464 -0.00614153 -0.06856562 0.03865923 0.01924123]\n", "[ 0.00853446 -0.00614401 -0.06856022 0.0386541 0.01923663]\n", "[ 0.00853428 -0.00614649 -0.06855482 0.03864898 0.01923203]\n", "[ 0.00853411 -0.00614897 -0.06854942 0.03864385 0.01922743]\n", "[ 0.00853394 -0.00615144 -0.06854401 0.03863873 0.01922284]\n", "[ 0.00853378 -0.00615391 -0.06853861 0.03863361 0.01921825]\n", "[ 0.00853362 -0.00615638 -0.06853321 0.03862849 0.01921366]\n", "[ 0.00853346 -0.00615885 -0.0685278 0.03862338 0.01920907]\n", "[ 0.0085333 -0.00616131 -0.0685224 0.03861827 0.01920449]\n", "[ 0.00853315 -0.00616377 -0.06851699 0.03861316 0.01919991]\n", "[ 0.008533 -0.00616624 -0.06851158 0.03860805 0.01919533]\n", "[ 0.00853285 -0.00616869 -0.06850617 0.03860294 0.01919075]\n", "[ 0.00853271 -0.00617115 -0.06850076 0.03859784 0.01918617]\n", "[ 0.00853257 -0.00617361 -0.06849535 0.03859274 0.0191816 ]\n", "[ 0.00853244 -0.00617606 -0.06848994 0.03858764 0.01917703]\n", "[ 0.00853231 -0.00617851 -0.06848453 0.03858255 0.01917246]\n", "[ 0.00853218 -0.00618096 -0.06847912 0.03857745 0.01916789]\n", "[ 0.00853205 -0.0061834 -0.0684737 0.03857236 0.01916333]\n", "[ 0.00853193 -0.00618585 -0.06846829 0.03856727 0.01915877]\n", "[ 0.00853181 -0.00618829 -0.06846287 0.03856219 0.01915421]\n", "[ 0.00853169 -0.00619073 -0.06845745 0.0385571 0.01914965]\n", "[ 0.00853158 -0.00619317 -0.06845203 0.03855202 0.01914509]\n", "[ 0.00853147 -0.00619561 -0.06844661 0.03854694 0.01914054]\n", "[ 0.00853136 -0.00619804 -0.06844119 0.03854187 0.01913599]\n", "[ 0.00853126 -0.00620047 -0.06843577 0.03853679 0.01913144]\n", "[ 0.00853116 -0.0062029 -0.06843035 0.03853172 0.01912689]\n", "[ 0.00853106 -0.00620533 -0.06842493 0.03852665 0.01912235]\n", "[ 0.00853097 -0.00620776 -0.0684195 0.03852158 0.0191178 ]\n", "[ 0.00853088 -0.00621018 -0.06841408 0.03851652 0.01911326]\n", "[ 0.00853079 -0.0062126 -0.06840865 0.03851146 0.01910872]\n", "[ 0.00853071 -0.00621502 -0.06840323 0.03850639 0.01910419]\n", "[ 0.00853063 -0.00621744 -0.0683978 0.03850134 0.01909965]\n", "[ 0.00853055 -0.00621986 -0.06839237 0.03849628 0.01909512]\n", "[ 0.00853047 -0.00622227 -0.06838694 0.03849123 0.01909059]\n", "[ 0.0085304 -0.00622468 -0.06838151 0.03848618 0.01908606]\n", "[ 0.00853033 -0.00622709 -0.06837608 0.03848113 0.01908154]\n", "[ 0.00853027 -0.0062295 -0.06837065 0.03847608 0.01907701]\n", "[ 0.00853021 -0.0062319 -0.06836521 0.03847103 0.01907249]\n", "[ 0.00853015 -0.00623431 -0.06835978 0.03846599 0.01906797]\n", "[ 0.00853009 -0.00623671 -0.06835434 0.03846095 0.01906345]\n", "[ 0.00853004 -0.00623911 -0.06834891 0.03845591 0.01905894]\n", "[ 0.00852999 -0.00624151 -0.06834347 0.03845088 0.01905442]\n", "[ 0.00852994 -0.0062439 -0.06833803 0.03844585 0.01904991]\n", "[ 0.0085299 -0.0062463 -0.0683326 0.03844082 0.0190454 ]\n", "[ 0.00852986 -0.00624869 -0.06832716 0.03843579 0.0190409 ]\n", "[ 0.00852982 -0.00625108 -0.06832172 0.03843076 0.01903639]\n", "[ 0.00852979 -0.00625347 -0.06831628 0.03842574 0.01903189]\n", "[ 0.00852976 -0.00625585 -0.06831083 0.03842071 0.01902739]\n", "[ 0.00852973 -0.00625824 -0.06830539 0.0384157 0.01902289]\n", "[ 0.0085297 -0.00626062 -0.06829995 0.03841068 0.01901839]\n", "[ 0.00852968 -0.006263 -0.0682945 0.03840566 0.0190139 ]\n", "[ 0.00852966 -0.00626538 -0.06828906 0.03840065 0.01900941]\n", "[ 0.00852965 -0.00626775 -0.06828361 0.03839564 0.01900492]\n", "[ 0.00852963 -0.00627013 -0.06827816 0.03839063 0.01900043]\n", "[ 0.00852962 -0.0062725 -0.06827272 0.03838562 0.01899594]\n", "[ 0.00852962 -0.00627487 -0.06826727 0.03838062 0.01899146]\n", "[ 0.00852961 -0.00627724 -0.06826182 0.03837562 0.01898698]\n", "[ 0.00852961 -0.00627961 -0.06825637 0.03837062 0.0189825 ]\n", "[ 0.00852961 -0.00628197 -0.06825092 0.03836562 0.01897802]\n", "[ 0.00852962 -0.00628433 -0.06824546 0.03836063 0.01897354]\n", "[ 0.00852963 -0.0062867 -0.06824001 0.03835563 0.01896907]\n", "[ 0.00852964 -0.00628905 -0.06823456 0.03835064 0.0189646 ]\n", "[ 0.00852965 -0.00629141 -0.0682291 0.03834565 0.01896013]\n", "[ 0.00852967 -0.00629377 -0.06822365 0.03834067 0.01895566]\n", "[ 0.00852969 -0.00629612 -0.06821819 0.03833568 0.01895119]\n", "[ 0.00852971 -0.00629847 -0.06821274 0.0383307 0.01894673]\n", "[ 0.00852974 -0.00630082 -0.06820728 0.03832572 0.01894227]\n", "[ 0.00852977 -0.00630317 -0.06820182 0.03832075 0.01893781]\n", "[ 0.0085298 -0.00630551 -0.06819636 0.03831577 0.01893335]\n", "[ 0.00852983 -0.00630786 -0.0681909 0.0383108 0.01892889]\n", "[ 0.00852987 -0.0063102 -0.06818544 0.03830583 0.01892444]\n", "[ 0.00852991 -0.00631254 -0.06817998 0.03830086 0.01891999]\n", "[ 0.00852995 -0.00631488 -0.06817451 0.03829589 0.01891554]\n", "[ 0.00853 -0.00631721 -0.06816905 0.03829093 0.01891109]\n", "[ 0.00853005 -0.00631955 -0.06816359 0.03828596 0.01890665]\n", "[ 0.0085301 -0.00632188 -0.06815812 0.038281 0.0189022 ]\n", "[ 0.00853016 -0.00632421 -0.06815266 0.03827604 0.01889776]\n", "[ 0.00853021 -0.00632654 -0.06814719 0.03827109 0.01889332]\n", "[ 0.00853028 -0.00632887 -0.06814172 0.03826614 0.01888888]\n", "[ 0.00853034 -0.00633119 -0.06813625 0.03826118 0.01888445]\n", "[ 0.00853041 -0.00633351 -0.06813078 0.03825623 0.01888001]\n", "[ 0.00853047 -0.00633584 -0.06812532 0.03825129 0.01887558]\n", "[ 0.00853055 -0.00633816 -0.06811985 0.03824634 0.01887115]\n", "[ 0.00853062 -0.00634047 -0.06811437 0.0382414 0.01886672]\n", "[ 0.0085307 -0.00634279 -0.0681089 0.03823646 0.0188623 ]\n", "[ 0.00853078 -0.0063451 -0.06810343 0.03823152 0.01885787]\n", "[ 0.00853086 -0.00634741 -0.06809796 0.03822658 0.01885345]\n", "[ 0.00853095 -0.00634973 -0.06809248 0.03822165 0.01884903]\n", "[ 0.00853104 -0.00635203 -0.06808701 0.03821671 0.01884462]\n", "[ 0.00853113 -0.00635434 -0.06808153 0.03821178 0.0188402 ]\n", "[ 0.00853122 -0.00635664 -0.06807605 0.03820686 0.01883579]\n", "[ 0.00853132 -0.00635895 -0.06807058 0.03820193 0.01883137]\n", "[ 0.00853142 -0.00636125 -0.0680651 0.03819701 0.01882696]\n", "[ 0.00853152 -0.00636355 -0.06805962 0.03819208 0.01882255]\n", "[ 0.00853163 -0.00636585 -0.06805414 0.03818716 0.01881815]\n", "[ 0.00853174 -0.00636814 -0.06804866 0.03818225 0.01881374]\n", "[ 0.00853185 -0.00637044 -0.06804318 0.03817733 0.01880934]\n", "[ 0.00853196 -0.00637273 -0.0680377 0.03817242 0.01880494]\n", "[ 0.00853208 -0.00637502 -0.06803222 0.03816751 0.01880054]\n", "[ 0.0085322 -0.00637731 -0.06802673 0.0381626 0.01879615]\n", "[ 0.00853232 -0.00637959 -0.06802125 0.03815769 0.01879175]\n", "[ 0.00853245 -0.00638188 -0.06801577 0.03815278 0.01878736]\n", "[ 0.00853258 -0.00638416 -0.06801028 0.03814788 0.01878297]\n", "[ 0.00853271 -0.00638644 -0.0680048 0.03814298 0.01877858]\n", "[ 0.00853284 -0.00638872 -0.06799931 0.03813808 0.01877419]\n", "[ 0.00853297 -0.006391 -0.06799382 0.03813318 0.01876981]\n", "[ 0.00853311 -0.00639328 -0.06798833 0.03812829 0.01876542]\n", "[ 0.00853325 -0.00639555 -0.06798285 0.0381234 0.01876104]\n", "[ 0.0085334 -0.00639782 -0.06797736 0.03811851 0.01875666]\n", "[ 0.00853355 -0.00640009 -0.06797187 0.03811362 0.01875229]\n", "[ 0.00853369 -0.00640236 -0.06796638 0.03810873 0.01874791]\n", "[ 0.00853385 -0.00640463 -0.06796088 0.03810384 0.01874354]\n", "[ 0.008534 -0.00640689 -0.06795539 0.03809896 0.01873916]\n", "[ 0.00853416 -0.00640916 -0.0679499 0.03809408 0.01873479]\n", "[ 0.00853432 -0.00641142 -0.06794441 0.0380892 0.01873043]\n", "[ 0.00853448 -0.00641368 -0.06793891 0.03808433 0.01872606]\n", "[ 0.00853465 -0.00641594 -0.06793342 0.03807945 0.0187217 ]\n", "[ 0.00853481 -0.0064182 -0.06792792 0.03807458 0.01871733]\n", "[ 0.00853498 -0.00642045 -0.06792243 0.03806971 0.01871297]\n", "[ 0.00853516 -0.0064227 -0.06791693 0.03806484 0.01870861]\n", "[ 0.00853533 -0.00642496 -0.06791143 0.03805997 0.01870426]\n", "[ 0.00853551 -0.0064272 -0.06790593 0.03805511 0.0186999 ]\n", "[ 0.00853569 -0.00642945 -0.06790044 0.03805025 0.01869555]\n", "[ 0.00853588 -0.0064317 -0.06789494 0.03804539 0.0186912 ]\n", "[ 0.00853606 -0.00643394 -0.06788944 0.03804053 0.01868685]\n", "[ 0.00853625 -0.00643619 -0.06788394 0.03803567 0.0186825 ]\n", "[ 0.00853644 -0.00643843 -0.06787843 0.03803082 0.01867816]\n", "[ 0.00853664 -0.00644067 -0.06787293 0.03802597 0.01867381]\n", "[ 0.00853683 -0.0064429 -0.06786743 0.03802112 0.01866947]\n", "[ 0.00853703 -0.00644514 -0.06786193 0.03801627 0.01866513]\n", "[ 0.00853723 -0.00644737 -0.06785642 0.03801142 0.01866079]\n", "[ 0.00853744 -0.00644961 -0.06785092 0.03800658 0.01865646]\n", "[ 0.00853764 -0.00645184 -0.06784541 0.03800173 0.01865212]\n", "[ 0.00853785 -0.00645407 -0.06783991 0.03799689 0.01864779]\n", "[ 0.00853807 -0.00645629 -0.0678344 0.03799205 0.01864346]\n", "[ 0.00853828 -0.00645852 -0.06782889 0.03798722 0.01863913]\n", "[ 0.0085385 -0.00646074 -0.06782339 0.03798238 0.0186348 ]\n", "[ 0.00853872 -0.00646297 -0.06781788 0.03797755 0.01863047]\n", "[ 0.00853894 -0.00646519 -0.06781237 0.03797272 0.01862615]\n", "[ 0.00853916 -0.00646741 -0.06780686 0.03796789 0.01862183]\n", "[ 0.00853939 -0.00646962 -0.06780135 0.03796306 0.01861751]\n", "[ 0.00853962 -0.00647184 -0.06779584 0.03795824 0.01861319]\n", "[ 0.00853985 -0.00647405 -0.06779033 0.03795342 0.01860887]\n", "[ 0.00854009 -0.00647627 -0.06778482 0.0379486 0.01860456]\n", "[ 0.00854032 -0.00647848 -0.0677793 0.03794378 0.01860025]\n", "[ 0.00854056 -0.00648069 -0.06777379 0.03793896 0.01859594]\n", "[ 0.0085408 -0.00648289 -0.06776828 0.03793415 0.01859163]\n", "[ 0.00854105 -0.0064851 -0.06776276 0.03792933 0.01858732]\n", "[ 0.0085413 -0.0064873 -0.06775725 0.03792452 0.01858301]\n", "[ 0.00854155 -0.00648951 -0.06775173 0.03791971 0.01857871]\n", "[ 0.0085418 -0.00649171 -0.06774622 0.0379149 0.01857441]\n", "[ 0.00854205 -0.00649391 -0.0677407 0.0379101 0.01857011]\n", "[ 0.00854231 -0.0064961 -0.06773518 0.0379053 0.01856581]\n", "[ 0.00854257 -0.0064983 -0.06772967 0.03790049 0.01856151]\n", "[ 0.00854283 -0.00650049 -0.06772415 0.03789569 0.01855722]\n", "[ 0.00854309 -0.00650269 -0.06771863 0.0378909 0.01855292]\n", "[ 0.00854336 -0.00650488 -0.06771311 0.0378861 0.01854863]\n", "[ 0.00854363 -0.00650707 -0.06770759 0.03788131 0.01854434]\n", "[ 0.0085439 -0.00650925 -0.06770207 0.03787651 0.01854006]\n", "[ 0.00854417 -0.00651144 -0.06769655 0.03787172 0.01853577]\n", "[ 0.00854445 -0.00651362 -0.06769102 0.03786694 0.01853148]\n", "[ 0.00854473 -0.00651581 -0.0676855 0.03786215 0.0185272 ]\n", "[ 0.00854501 -0.00651799 -0.06767998 0.03785737 0.01852292]\n", "[ 0.00854529 -0.00652017 -0.06767446 0.03785258 0.01851864]\n", "[ 0.00854558 -0.00652235 -0.06766893 0.0378478 0.01851437]\n", "[ 0.00854587 -0.00652452 -0.06766341 0.03784302 0.01851009]\n", "[ 0.00854616 -0.0065267 -0.06765788 0.03783825 0.01850582]\n", "[ 0.00854645 -0.00652887 -0.06765236 0.03783347 0.01850154]\n", "[ 0.00854675 -0.00653104 -0.06764683 0.0378287 0.01849727]\n", "[ 0.00854704 -0.00653321 -0.0676413 0.03782393 0.018493 ]\n", "[ 0.00854734 -0.00653538 -0.06763578 0.03781916 0.01848874]\n", "[ 0.00854764 -0.00653755 -0.06763025 0.03781439 0.01848447]\n", "[ 0.00854795 -0.00653971 -0.06762472 0.03780963 0.01848021]\n", "[ 0.00854826 -0.00654188 -0.06761919 0.03780486 0.01847595]\n", "[ 0.00854857 -0.00654404 -0.06761366 0.0378001 0.01847169]\n", "[ 0.00854888 -0.0065462 -0.06760813 0.03779534 0.01846743]\n", "[ 0.00854919 -0.00654836 -0.0676026 0.03779058 0.01846317]\n", "[ 0.00854951 -0.00655051 -0.06759707 0.03778583 0.01845892]\n", "[ 0.00854983 -0.00655267 -0.06759154 0.03778107 0.01845466]\n", "[ 0.00855015 -0.00655482 -0.06758601 0.03777632 0.01845041]\n", "[ 0.00855047 -0.00655698 -0.06758048 0.03777157 0.01844616]\n", "[ 0.0085508 -0.00655913 -0.06757494 0.03776682 0.01844192]\n", "[ 0.00855112 -0.00656128 -0.06756941 0.03776207 0.01843767]\n", "[ 0.00855145 -0.00656342 -0.06756388 0.03775733 0.01843343]\n", "[ 0.00855179 -0.00656557 -0.06755834 0.03775258 0.01842918]\n", "[ 0.00855212 -0.00656772 -0.06755281 0.03774784 0.01842494]\n", "[ 0.00855246 -0.00656986 -0.06754727 0.0377431 0.0184207 ]\n", "[ 0.0085528 -0.006572 -0.06754173 0.03773836 0.01841646]\n", "[ 0.00855314 -0.00657414 -0.0675362 0.03773363 0.01841223]\n", "[ 0.00855348 -0.00657628 -0.06753066 0.03772889 0.01840799]\n", "[ 0.00855383 -0.00657842 -0.06752512 0.03772416 0.01840376]\n", "[ 0.00855418 -0.00658055 -0.06751959 0.03771943 0.01839953]\n", "[ 0.00855453 -0.00658269 -0.06751405 0.0377147 0.0183953 ]\n", "[ 0.00855488 -0.00658482 -0.06750851 0.03770997 0.01839107]\n", "[ 0.00855523 -0.00658695 -0.06750297 0.03770525 0.01838685]\n", "[ 0.00855559 -0.00658908 -0.06749743 0.03770053 0.01838262]\n", "[ 0.00855595 -0.00659121 -0.06749189 0.0376958 0.0183784 ]\n", "[ 0.00855631 -0.00659333 -0.06748635 0.03769109 0.01837418]\n", "[ 0.00855668 -0.00659546 -0.06748081 0.03768637 0.01836996]\n", "[ 0.00855704 -0.00659758 -0.06747526 0.03768165 0.01836574]\n", "[ 0.00855741 -0.0065997 -0.06746972 0.03767694 0.01836153]\n", "[ 0.00855778 -0.00660182 -0.06746418 0.03767222 0.01835731]\n", "[ 0.00855815 -0.00660394 -0.06745864 0.03766751 0.0183531 ]\n", "[ 0.00855853 -0.00660606 -0.06745309 0.0376628 0.01834889]\n", "[ 0.00855891 -0.00660817 -0.06744755 0.0376581 0.01834468]\n", "[ 0.00855928 -0.00661029 -0.067442 0.03765339 0.01834047]\n", "[ 0.00855967 -0.0066124 -0.06743646 0.03764869 0.01833626]\n", "[ 0.00856005 -0.00661451 -0.06743091 0.03764399 0.01833206]\n", "[ 0.00856044 -0.00661662 -0.06742537 0.03763929 0.01832786]\n", "[ 0.00856082 -0.00661873 -0.06741982 0.03763459 0.01832366]\n", "[ 0.00856121 -0.00662084 -0.06741427 0.03762989 0.01831946]\n", "[ 0.00856161 -0.00662294 -0.06740873 0.0376252 0.01831526]\n", "[ 0.008562 -0.00662504 -0.06740318 0.0376205 0.01831106]\n", "[ 0.0085624 -0.00662715 -0.06739763 0.03761581 0.01830687]\n", "[ 0.00856279 -0.00662925 -0.06739208 0.03761112 0.01830268]\n", "[ 0.0085632 -0.00663135 -0.06738653 0.03760643 0.01829848]\n", "[ 0.0085636 -0.00663344 -0.06738098 0.03760175 0.01829429]\n", "[ 0.008564 -0.00663554 -0.06737543 0.03759706 0.01829011]\n", "[ 0.00856441 -0.00663764 -0.06736988 0.03759238 0.01828592]\n", "[ 0.00856482 -0.00663973 -0.06736433 0.0375877 0.01828173]\n", "[ 0.00856523 -0.00664182 -0.06735878 0.03758302 0.01827755]\n", "[ 0.00856564 -0.00664391 -0.06735323 0.03757834 0.01827337]\n", "[ 0.00856606 -0.006646 -0.06734768 0.03757367 0.01826919]\n", "[ 0.00856648 -0.00664809 -0.06734213 0.037569 0.01826501]\n", "[ 0.0085669 -0.00665017 -0.06733657 0.03756432 0.01826083]\n", "[ 0.00856732 -0.00665226 -0.06733102 0.03755965 0.01825666]\n", "[ 0.00856774 -0.00665434 -0.06732547 0.03755498 0.01825249]\n", "[ 0.00856817 -0.00665642 -0.06731991 0.03755032 0.01824831]\n", "[ 0.0085686 -0.0066585 -0.06731436 0.03754565 0.01824414]\n", "[ 0.00856903 -0.00666058 -0.0673088 0.03754099 0.01823997]\n", "[ 0.00856946 -0.00666266 -0.06730325 0.03753633 0.01823581]\n", "[ 0.00856989 -0.00666473 -0.06729769 0.03753167 0.01823164]\n", "[ 0.00857033 -0.00666681 -0.06729214 0.03752701 0.01822748]\n", "[ 0.00857077 -0.00666888 -0.06728658 0.03752235 0.01822332]\n", "[ 0.00857121 -0.00667095 -0.06728102 0.0375177 0.01821915]\n", "[ 0.00857165 -0.00667302 -0.06727547 0.03751304 0.018215 ]\n", "[ 0.0085721 -0.00667509 -0.06726991 0.03750839 0.01821084]\n", "[ 0.00857254 -0.00667716 -0.06726435 0.03750374 0.01820668]\n", "[ 0.00857299 -0.00667923 -0.06725879 0.03749909 0.01820253]\n", "[ 0.00857344 -0.00668129 -0.06725323 0.03749445 0.01819837]\n", "[ 0.0085739 -0.00668335 -0.06724767 0.0374898 0.01819422]\n", "[ 0.00857435 -0.00668541 -0.06724211 0.03748516 0.01819007]\n", "[ 0.00857481 -0.00668747 -0.06723655 0.03748052 0.01818592]\n", "[ 0.00857527 -0.00668953 -0.06723099 0.03747588 0.01818178]\n", "[ 0.00857573 -0.00669159 -0.06722543 0.03747124 0.01817763]\n", "[ 0.00857619 -0.00669365 -0.06721987 0.03746661 0.01817349]\n", "[ 0.00857665 -0.0066957 -0.06721431 0.03746197 0.01816935]\n", "[ 0.00857712 -0.00669775 -0.06720875 0.03745734 0.01816521]\n", "[ 0.00857759 -0.00669981 -0.06720319 0.03745271 0.01816107]\n", "[ 0.00857806 -0.00670186 -0.06719762 0.03744808 0.01815693]\n", "[ 0.00857853 -0.00670391 -0.06719206 0.03744345 0.01815279]\n", "[ 0.00857901 -0.00670595 -0.0671865 0.03743882 0.01814866]\n", "[ 0.00857948 -0.006708 -0.06718093 0.0374342 0.01814453]\n", "[ 0.00857996 -0.00671004 -0.06717537 0.03742958 0.0181404 ]\n", "[ 0.00858044 -0.00671209 -0.06716981 0.03742495 0.01813627]\n", "[ 0.00858092 -0.00671413 -0.06716424 0.03742033 0.01813214]\n", "[ 0.00858141 -0.00671617 -0.06715868 0.03741572 0.01812801]\n", "[ 0.0085819 -0.00671821 -0.06715311 0.0374111 0.01812389]\n", "[ 0.00858238 -0.00672025 -0.06714754 0.03740649 0.01811976]\n", "[ 0.00858287 -0.00672228 -0.06714198 0.03740187 0.01811564]\n", "[ 0.00858337 -0.00672432 -0.06713641 0.03739726 0.01811152]\n", "[ 0.00858386 -0.00672635 -0.06713085 0.03739265 0.0181074 ]\n", "[ 0.00858436 -0.00672838 -0.06712528 0.03738804 0.01810328]\n", "[ 0.00858485 -0.00673041 -0.06711971 0.03738344 0.01809917]\n", "[ 0.00858535 -0.00673244 -0.06711414 0.03737883 0.01809505]\n", "[ 0.00858586 -0.00673447 -0.06710858 0.03737423 0.01809094]\n", "[ 0.00858636 -0.0067365 -0.06710301 0.03736963 0.01808683]\n", "[ 0.00858686 -0.00673852 -0.06709744 0.03736503 0.01808272]\n", "[ 0.00858737 -0.00674055 -0.06709187 0.03736043 0.01807861]\n", "[ 0.00858788 -0.00674257 -0.0670863 0.03735583 0.01807451]\n", "[ 0.00858839 -0.00674459 -0.06708073 0.03735124 0.0180704 ]\n", "[ 0.00858891 -0.00674661 -0.06707516 0.03734665 0.0180663 ]\n", "[ 0.00858942 -0.00674863 -0.06706959 0.03734205 0.01806219]\n", "[ 0.00858994 -0.00675065 -0.06706402 0.03733746 0.01805809]\n", "[ 0.00859046 -0.00675266 -0.06705845 0.03733288 0.01805399]\n", "[ 0.00859098 -0.00675468 -0.06705288 0.03732829 0.0180499 ]\n", "[ 0.0085915 -0.00675669 -0.0670473 0.0373237 0.0180458 ]\n", "[ 0.00859202 -0.0067587 -0.06704173 0.03731912 0.0180417 ]\n", "[ 0.00859255 -0.00676071 -0.06703616 0.03731454 0.01803761]\n", "[ 0.00859308 -0.00676272 -0.06703059 0.03730996 0.01803352]\n", "[ 0.00859361 -0.00676473 -0.06702501 0.03730538 0.01802943]\n", "[ 0.00859414 -0.00676674 -0.06701944 0.0373008 0.01802534]\n", "[ 0.00859467 -0.00676874 -0.06701387 0.03729623 0.01802125]\n", "[ 0.00859521 -0.00677075 -0.06700829 0.03729165 0.01801717]\n", "[ 0.00859575 -0.00677275 -0.06700272 0.03728708 0.01801308]\n", "[ 0.00859629 -0.00677475 -0.06699715 0.03728251 0.018009 ]\n", "[ 0.00859683 -0.00677675 -0.06699157 0.03727794 0.01800492]\n", "[ 0.00859737 -0.00677875 -0.066986 0.03727337 0.01800084]\n", "[ 0.00859792 -0.00678075 -0.06698042 0.03726881 0.01799676]\n", "[ 0.00859846 -0.00678274 -0.06697485 0.03726424 0.01799268]\n", "[ 0.00859901 -0.00678474 -0.06696927 0.03725968 0.01798861]\n", "[ 0.00859956 -0.00678673 -0.06696369 0.03725512 0.01798453]\n", "[ 0.00860011 -0.00678872 -0.06695812 0.03725056 0.01798046]\n", "[ 0.00860067 -0.00679071 -0.06695254 0.037246 0.01797639]\n", "[ 0.00860122 -0.0067927 -0.06694696 0.03724144 0.01797232]\n", "[ 0.00860178 -0.00679469 -0.06694139 0.03723689 0.01796825]\n", "[ 0.00860234 -0.00679668 -0.06693581 0.03723233 0.01796418]\n", "[ 0.0086029 -0.00679867 -0.06693023 0.03722778 0.01796012]\n", "[ 0.00860346 -0.00680065 -0.06692465 0.03722323 0.01795605]\n", "[ 0.00860403 -0.00680263 -0.06691907 0.03721868 0.01795199]\n", "[ 0.00860459 -0.00680461 -0.0669135 0.03721414 0.01794793]\n", "[ 0.00860516 -0.00680659 -0.06690792 0.03720959 0.01794387]\n", "[ 0.00860573 -0.00680857 -0.06690234 0.03720505 0.01793981]\n", "[ 0.0086063 -0.00681055 -0.06689676 0.0372005 0.01793576]\n", "[ 0.00860687 -0.00681253 -0.06689118 0.03719596 0.0179317 ]\n", "[ 0.00860745 -0.0068145 -0.0668856 0.03719142 0.01792765]\n", "[ 0.00860802 -0.00681648 -0.06688002 0.03718688 0.0179236 ]\n", "[ 0.0086086 -0.00681845 -0.06687444 0.03718235 0.01791954]\n", "[ 0.00860918 -0.00682042 -0.06686886 0.03717781 0.01791549]\n", "[ 0.00860977 -0.00682239 -0.06686328 0.03717328 0.01791145]\n", "[ 0.00861035 -0.00682436 -0.0668577 0.03716875 0.0179074 ]\n", "[ 0.00861093 -0.00682633 -0.06685211 0.03716422 0.01790335]\n", "[ 0.00861152 -0.00682829 -0.06684653 0.03715969 0.01789931]\n", "[ 0.00861211 -0.00683026 -0.06684095 0.03715516 0.01789527]\n", "[ 0.0086127 -0.00683222 -0.06683537 0.03715064 0.01789123]\n", "[ 0.00861329 -0.00683419 -0.06682979 0.03714611 0.01788719]\n", "[ 0.00861389 -0.00683615 -0.0668242 0.03714159 0.01788315]\n", "[ 0.00861448 -0.00683811 -0.06681862 0.03713707 0.01787911]\n", "[ 0.00861508 -0.00684007 -0.06681304 0.03713255 0.01787508]\n", "[ 0.00861568 -0.00684202 -0.06680745 0.03712803 0.01787104]\n", "[ 0.00861628 -0.00684398 -0.06680187 0.03712352 0.01786701]\n", "[ 0.00861688 -0.00684594 -0.06679629 0.037119 0.01786298]\n", "[ 0.00861749 -0.00684789 -0.0667907 0.03711449 0.01785895]\n", "[ 0.00861809 -0.00684984 -0.06678512 0.03710997 0.01785492]\n", "[ 0.0086187 -0.00685179 -0.06677953 0.03710546 0.01785089]\n", "[ 0.00861931 -0.00685374 -0.06677395 0.03710096 0.01784687]\n", "[ 0.00861992 -0.00685569 -0.06676836 0.03709645 0.01784284]\n", "[ 0.00862053 -0.00685764 -0.06676278 0.03709194 0.01783882]\n", "[ 0.00862115 -0.00685959 -0.06675719 0.03708744 0.0178348 ]\n", "[ 0.00862176 -0.00686153 -0.06675161 0.03708293 0.01783078]\n", "[ 0.00862238 -0.00686348 -0.06674602 0.03707843 0.01782676]\n", "[ 0.008623 -0.00686542 -0.06674044 0.03707393 0.01782274]\n", "[ 0.00862362 -0.00686736 -0.06673485 0.03706944 0.01781873]\n", "[ 0.00862424 -0.0068693 -0.06672926 0.03706494 0.01781471]\n", "[ 0.00862487 -0.00687124 -0.06672368 0.03706044 0.0178107 ]\n", "[ 0.00862549 -0.00687318 -0.06671809 0.03705595 0.01780669]\n", "[ 0.00862612 -0.00687511 -0.0667125 0.03705146 0.01780268]\n", "[ 0.00862675 -0.00687705 -0.06670692 0.03704697 0.01779867]\n", "[ 0.00862738 -0.00687898 -0.06670133 0.03704248 0.01779466]\n", "[ 0.00862801 -0.00688092 -0.06669574 0.03703799 0.01779066]\n", "[ 0.00862864 -0.00688285 -0.06669015 0.0370335 0.01778665]\n", "[ 0.00862928 -0.00688478 -0.06668457 0.03702902 0.01778265]\n", "[ 0.00862992 -0.00688671 -0.06667898 0.03702453 0.01777865]\n", "[ 0.00863056 -0.00688864 -0.06667339 0.03702005 0.01777465]\n", "[ 0.0086312 -0.00689056 -0.0666678 0.03701557 0.01777065]\n", "[ 0.00863184 -0.00689249 -0.06666221 0.03701109 0.01776665]\n", "[ 0.00863248 -0.00689441 -0.06665662 0.03700661 0.01776265]\n", "[ 0.00863313 -0.00689634 -0.06665103 0.03700214 0.01775866]\n", "[ 0.00863377 -0.00689826 -0.06664544 0.03699766 0.01775466]\n", "[ 0.00863442 -0.00690018 -0.06663985 0.03699319 0.01775067]\n", "[ 0.00863507 -0.0069021 -0.06663426 0.03698872 0.01774668]\n", "[ 0.00863572 -0.00690402 -0.06662867 0.03698425 0.01774269]\n", "[ 0.00863638 -0.00690593 -0.06662308 0.03697978 0.0177387 ]\n", "[ 0.00863703 -0.00690785 -0.06661749 0.03697531 0.01773471]\n", "[ 0.00863769 -0.00690977 -0.0666119 0.03697084 0.01773073]\n", "[ 0.00863834 -0.00691168 -0.06660631 0.03696638 0.01772674]\n", "[ 0.008639 -0.00691359 -0.06660072 0.03696192 0.01772276]\n", "[ 0.00863966 -0.0069155 -0.06659513 0.03695745 0.01771878]\n", "[ 0.00864033 -0.00691741 -0.06658954 0.03695299 0.0177148 ]\n", "[ 0.00864099 -0.00691932 -0.06658395 0.03694853 0.01771082]\n", "[ 0.00864165 -0.00692123 -0.06657836 0.03694408 0.01770684]\n", "[ 0.00864232 -0.00692314 -0.06657277 0.03693962 0.01770286]\n", "[ 0.00864299 -0.00692504 -0.06656717 0.03693517 0.01769889]\n", "[ 0.00864366 -0.00692695 -0.06656158 0.03693071 0.01769492]\n", "[ 0.00864433 -0.00692885 -0.06655599 0.03692626 0.01769094]\n", "[ 0.00864501 -0.00693075 -0.0665504 0.03692181 0.01768697]\n", "[ 0.00864568 -0.00693265 -0.06654481 0.03691736 0.017683 ]\n", "[ 0.00864636 -0.00693455 -0.06653921 0.03691292 0.01767903]\n", "[ 0.00864703 -0.00693645 -0.06653362 0.03690847 0.01767507]\n", "[ 0.00864771 -0.00693835 -0.06652803 0.03690403 0.0176711 ]\n", "[ 0.00864839 -0.00694025 -0.06652244 0.03689958 0.01766714]\n", "[ 0.00864908 -0.00694214 -0.06651684 0.03689514 0.01766317]\n", "[ 0.00864976 -0.00694403 -0.06651125 0.0368907 0.01765921]\n", "[ 0.00865044 -0.00694593 -0.06650566 0.03688626 0.01765525]\n", "[ 0.00865113 -0.00694782 -0.06650006 0.03688182 0.01765129]\n", "[ 0.00865182 -0.00694971 -0.06649447 0.03687739 0.01764733]\n", "[ 0.00865251 -0.0069516 -0.06648887 0.03687295 0.01764338]\n", "[ 0.0086532 -0.00695349 -0.06648328 0.03686852 0.01763942]\n", "[ 0.00865389 -0.00695537 -0.06647769 0.03686409 0.01763547]\n", "[ 0.00865459 -0.00695726 -0.06647209 0.03685966 0.01763151]\n", "[ 0.00865528 -0.00695915 -0.0664665 0.03685523 0.01762756]\n", "[ 0.00865598 -0.00696103 -0.0664609 0.0368508 0.01762361]\n", "[ 0.00865668 -0.00696291 -0.06645531 0.03684637 0.01761966]\n", "[ 0.00865738 -0.00696479 -0.06644971 0.03684195 0.01761572]\n", "[ 0.00865808 -0.00696667 -0.06644412 0.03683753 0.01761177]\n", "[ 0.00865878 -0.00696855 -0.06643852 0.0368331 0.01760782]\n", "[ 0.00865949 -0.00697043 -0.06643293 0.03682868 0.01760388]\n", "[ 0.00866019 -0.00697231 -0.06642733 0.03682426 0.01759994]\n", "[ 0.0086609 -0.00697418 -0.06642174 0.03681985 0.017596 ]\n", "[ 0.00866161 -0.00697606 -0.06641614 0.03681543 0.01759206]\n", "[ 0.00866232 -0.00697793 -0.06641055 0.03681101 0.01758812]\n", "[ 0.00866303 -0.0069798 -0.06640495 0.0368066 0.01758418]\n", "[ 0.00866374 -0.00698167 -0.06639935 0.03680219 0.01758025]\n", "[ 0.00866446 -0.00698354 -0.06639376 0.03679778 0.01757631]\n", "[ 0.00866518 -0.00698541 -0.06638816 0.03679337 0.01757238]\n", "[ 0.00866589 -0.00698728 -0.06638257 0.03678896 0.01756844]\n", "[ 0.00866661 -0.00698915 -0.06637697 0.03678455 0.01756451]\n", "[ 0.00866733 -0.00699101 -0.06637137 0.03678015 0.01756058]\n", "[ 0.00866805 -0.00699288 -0.06636578 0.03677574 0.01755666]\n", "[ 0.00866878 -0.00699474 -0.06636018 0.03677134 0.01755273]\n", "[ 0.0086695 -0.0069966 -0.06635458 0.03676694 0.0175488 ]\n", "[ 0.00867023 -0.00699847 -0.06634899 0.03676254 0.01754488]\n", "[ 0.00867095 -0.00700033 -0.06634339 0.03675814 0.01754096]\n", "[ 0.00867168 -0.00700219 -0.06633779 0.03675374 0.01753703]\n", "[ 0.00867241 -0.00700404 -0.0663322 0.03674935 0.01753311]\n", "[ 0.00867314 -0.0070059 -0.0663266 0.03674495 0.01752919]\n", "[ 0.00867388 -0.00700776 -0.066321 0.03674056 0.01752527]\n", "[ 0.00867461 -0.00700961 -0.0663154 0.03673617 0.01752136]\n", "[ 0.00867535 -0.00701146 -0.06630981 0.03673178 0.01751744]\n", "[ 0.00867608 -0.00701332 -0.06630421 0.03672739 0.01751353]\n", "[ 0.00867682 -0.00701517 -0.06629861 0.036723 0.01750961]\n", "[ 0.00867756 -0.00701702 -0.06629301 0.03671861 0.0175057 ]\n", "[ 0.0086783 -0.00701887 -0.06628742 0.03671423 0.01750179]\n", "[ 0.00867905 -0.00702072 -0.06628182 0.03670984 0.01749788]\n", "[ 0.00867979 -0.00702256 -0.06627622 0.03670546 0.01749397]\n", "[ 0.00868054 -0.00702441 -0.06627062 0.03670108 0.01749007]\n", "[ 0.00868128 -0.00702625 -0.06626502 0.0366967 0.01748616]\n", "[ 0.00868203 -0.0070281 -0.06625942 0.03669232 0.01748226]\n", "[ 0.00868278 -0.00702994 -0.06625383 0.03668795 0.01747835]\n", "[ 0.00868353 -0.00703178 -0.06624823 0.03668357 0.01747445]\n", "[ 0.00868428 -0.00703362 -0.06624263 0.0366792 0.01747055]\n", "[ 0.00868504 -0.00703546 -0.06623703 0.03667482 0.01746665]\n", "[ 0.00868579 -0.0070373 -0.06623143 0.03667045 0.01746275]\n", "[ 0.00868655 -0.00703914 -0.06622583 0.03666608 0.01745885]\n", "[ 0.00868731 -0.00704098 -0.06622023 0.03666171 0.01745496]\n", "[ 0.00868806 -0.00704281 -0.06621464 0.03665734 0.01745106]\n", "[ 0.00868882 -0.00704465 -0.06620904 0.03665298 0.01744717]\n", "[ 0.00868959 -0.00704648 -0.06620344 0.03664861 0.01744328]\n", "[ 0.00869035 -0.00704831 -0.06619784 0.03664425 0.01743939]\n", "[ 0.00869111 -0.00705014 -0.06619224 0.03663988 0.0174355 ]\n", "[ 0.00869188 -0.00705197 -0.06618664 0.03663552 0.01743161]\n", "[ 0.00869264 -0.0070538 -0.06618104 0.03663116 0.01742772]\n", "[ 0.00869341 -0.00705563 -0.06617544 0.03662681 0.01742384]\n", "[ 0.00869418 -0.00705746 -0.06616984 0.03662245 0.01741995]\n", "[ 0.00869495 -0.00705928 -0.06616424 0.03661809 0.01741607]\n", "[ 0.00869572 -0.00706111 -0.06615864 0.03661374 0.01741218]\n", "[ 0.0086965 -0.00706293 -0.06615304 0.03660938 0.0174083 ]\n", "[ 0.00869727 -0.00706475 -0.06614744 0.03660503 0.01740442]\n", "[ 0.00869805 -0.00706657 -0.06614185 0.03660068 0.01740054]\n", "[ 0.00869883 -0.0070684 -0.06613625 0.03659633 0.01739667]\n", "[ 0.0086996 -0.00707021 -0.06613065 0.03659198 0.01739279]\n", "[ 0.00870038 -0.00707203 -0.06612505 0.03658764 0.01738891]\n", "[ 0.00870116 -0.00707385 -0.06611945 0.03658329 0.01738504]\n", "[ 0.00870195 -0.00707567 -0.06611385 0.03657895 0.01738117]\n", "[ 0.00870273 -0.00707748 -0.06610825 0.0365746 0.0173773 ]\n", "[ 0.00870351 -0.0070793 -0.06610265 0.03657026 0.01737343]\n", "[ 0.0087043 -0.00708111 -0.06609705 0.03656592 0.01736956]\n", "[ 0.00870509 -0.00708292 -0.06609145 0.03656158 0.01736569]\n", "[ 0.00870588 -0.00708473 -0.06608585 0.03655724 0.01736182]\n", "[ 0.00870667 -0.00708655 -0.06608025 0.03655291 0.01735796]\n", "[ 0.00870746 -0.00708835 -0.06607465 0.03654857 0.01735409]\n", "[ 0.00870825 -0.00709016 -0.06606905 0.03654424 0.01735023]\n", "[ 0.00870904 -0.00709197 -0.06606345 0.03653991 0.01734637]\n", "[ 0.00870984 -0.00709378 -0.06605785 0.03653557 0.01734251]\n", "[ 0.00871063 -0.00709558 -0.06605225 0.03653124 0.01733865]\n", "[ 0.00871143 -0.00709739 -0.06604665 0.03652691 0.01733479]\n", "[ 0.00871223 -0.00709919 -0.06604105 0.03652259 0.01733093]\n", "[ 0.00871303 -0.00710099 -0.06603545 0.03651826 0.01732707]\n", "[ 0.00871383 -0.00710279 -0.06602984 0.03651394 0.01732322]\n", "[ 0.00871463 -0.00710459 -0.06602424 0.03650961 0.01731936]\n", "[ 0.00871544 -0.00710639 -0.06601864 0.03650529 0.01731551]\n", "[ 0.00871624 -0.00710819 -0.06601304 0.03650097 0.01731166]\n", "[ 0.00871705 -0.00710999 -0.06600744 0.03649665 0.01730781]\n", "[ 0.00871786 -0.00711178 -0.06600184 0.03649233 0.01730396]\n", "[ 0.00871866 -0.00711358 -0.06599624 0.03648801 0.01730011]\n", "[ 0.00871947 -0.00711537 -0.06599064 0.0364837 0.01729627]\n", "[ 0.00872028 -0.00711717 -0.06598504 0.03647938 0.01729242]\n", "[ 0.0087211 -0.00711896 -0.06597944 0.03647507 0.01728858]\n", "[ 0.00872191 -0.00712075 -0.06597384 0.03647075 0.01728473]\n", "[ 0.00872272 -0.00712254 -0.06596824 0.03646644 0.01728089]\n", "[ 0.00872354 -0.00712433 -0.06596264 0.03646213 0.01727705]\n", "[ 0.00872436 -0.00712612 -0.06595704 0.03645782 0.01727321]\n", "[ 0.00872518 -0.0071279 -0.06595144 0.03645352 0.01726937]\n", "[ 0.00872599 -0.00712969 -0.06594584 0.03644921 0.01726553]\n", "[ 0.00872681 -0.00713148 -0.06594024 0.03644491 0.0172617 ]\n", "[ 0.00872764 -0.00713326 -0.06593464 0.0364406 0.01725786]\n", "[ 0.00872846 -0.00713504 -0.06592904 0.0364363 0.01725403]\n", "[ 0.00872928 -0.00713683 -0.06592344 0.036432 0.01725019]\n", "[ 0.00873011 -0.00713861 -0.06591784 0.0364277 0.01724636]\n", "[ 0.00873094 -0.00714039 -0.06591224 0.0364234 0.01724253]\n", "[ 0.00873176 -0.00714217 -0.06590664 0.0364191 0.0172387 ]\n", "[ 0.00873259 -0.00714394 -0.06590103 0.0364148 0.01723487]\n", "[ 0.00873342 -0.00714572 -0.06589543 0.03641051 0.01723105]\n", "[ 0.00873425 -0.0071475 -0.06588983 0.03640622 0.01722722]\n", "[ 0.00873508 -0.00714927 -0.06588423 0.03640192 0.0172234 ]\n", "[ 0.00873592 -0.00715105 -0.06587863 0.03639763 0.01721957]\n", "[ 0.00873675 -0.00715282 -0.06587303 0.03639334 0.01721575]\n", "[ 0.00873759 -0.00715459 -0.06586743 0.03638905 0.01721193]\n", "[ 0.00873842 -0.00715637 -0.06586183 0.03638476 0.01720811]\n", "[ 0.00873926 -0.00715814 -0.06585623 0.03638048 0.01720429]\n", "[ 0.0087401 -0.00715991 -0.06585063 0.03637619 0.01720047]\n", "[ 0.00874094 -0.00716168 -0.06584503 0.03637191 0.01719665]\n", "[ 0.00874178 -0.00716344 -0.06583943 0.03636763 0.01719284]\n", "[ 0.00874263 -0.00716521 -0.06583383 0.03636334 0.01718902]\n", "[ 0.00874347 -0.00716698 -0.06582823 0.03635906 0.01718521]\n", "[ 0.00874431 -0.00716874 -0.06582263 0.03635478 0.0171814 ]\n", "[ 0.00874516 -0.0071705 -0.06581703 0.03635051 0.01717758]\n", "[ 0.00874601 -0.00717227 -0.06581143 0.03634623 0.01717377]\n", "[ 0.00874686 -0.00717403 -0.06580583 0.03634195 0.01716996]\n", "[ 0.0087477 -0.00717579 -0.06580023 0.03633768 0.01716616]\n", "[ 0.00874856 -0.00717755 -0.06579463 0.03633341 0.01716235]\n", "[ 0.00874941 -0.00717931 -0.06578903 0.03632913 0.01715854]\n", "[ 0.00875026 -0.00718107 -0.06578343 0.03632486 0.01715474]\n", "[ 0.00875111 -0.00718283 -0.06577783 0.03632059 0.01715094]\n", "[ 0.00875197 -0.00718458 -0.06577223 0.03631633 0.01714713]\n", "[ 0.00875282 -0.00718634 -0.06576663 0.03631206 0.01714333]\n", "[ 0.00875368 -0.00718809 -0.06576103 0.03630779 0.01713953]\n", "[ 0.00875454 -0.00718984 -0.06575543 0.03630353 0.01713573]\n", "[ 0.0087554 -0.0071916 -0.06574983 0.03629926 0.01713194]\n", "[ 0.00875626 -0.00719335 -0.06574423 0.036295 0.01712814]\n", "[ 0.00875712 -0.0071951 -0.06573863 0.03629074 0.01712434]\n", "[ 0.00875798 -0.00719685 -0.06573303 0.03628648 0.01712055]\n", "[ 0.00875885 -0.0071986 -0.06572743 0.03628222 0.01711675]\n", "[ 0.00875971 -0.00720035 -0.06572183 0.03627796 0.01711296]\n", "[ 0.00876058 -0.00720209 -0.06571623 0.03627371 0.01710917]\n", "[ 0.00876144 -0.00720384 -0.06571063 0.03626945 0.01710538]\n", "[ 0.00876231 -0.00720558 -0.06570503 0.0362652 0.01710159]\n", "[ 0.00876318 -0.00720733 -0.06569943 0.03626094 0.0170978 ]\n", "[ 0.00876405 -0.00720907 -0.06569383 0.03625669 0.01709402]\n", "[ 0.00876492 -0.00721081 -0.06568823 0.03625244 0.01709023]\n", "[ 0.00876579 -0.00721256 -0.06568264 0.03624819 0.01708645]\n", "[ 0.00876667 -0.0072143 -0.06567704 0.03624394 0.01708266]\n", "[ 0.00876754 -0.00721604 -0.06567144 0.0362397 0.01707888]\n", "[ 0.00876842 -0.00721777 -0.06566584 0.03623545 0.0170751 ]\n", "[ 0.00876929 -0.00721951 -0.06566024 0.03623121 0.01707132]\n", "[ 0.00877017 -0.00722125 -0.06565464 0.03622696 0.01706754]\n", "[ 0.00877105 -0.00722299 -0.06564904 0.03622272 0.01706376]\n", "[ 0.00877193 -0.00722472 -0.06564344 0.03621848 0.01705998]\n", "[ 0.00877281 -0.00722645 -0.06563784 0.03621424 0.01705621]\n", "[ 0.00877369 -0.00722819 -0.06563224 0.03621 0.01705243]\n", "[ 0.00877457 -0.00722992 -0.06562665 0.03620576 0.01704866]\n", "[ 0.00877546 -0.00723165 -0.06562105 0.03620153 0.01704488]\n", "[ 0.00877634 -0.00723338 -0.06561545 0.03619729 0.01704111]\n", "[ 0.00877723 -0.00723511 -0.06560985 0.03619306 0.01703734]\n", "[ 0.00877812 -0.00723684 -0.06560425 0.03618882 0.01703357]\n", "[ 0.008779 -0.00723857 -0.06559865 0.03618459 0.0170298 ]\n", "[ 0.00877989 -0.00724029 -0.06559306 0.03618036 0.01702604]\n", "[ 0.00878078 -0.00724202 -0.06558746 0.03617613 0.01702227]\n", "[ 0.00878167 -0.00724375 -0.06558186 0.0361719 0.0170185 ]\n", "[ 0.00878257 -0.00724547 -0.06557626 0.03616768 0.01701474]\n", "[ 0.00878346 -0.00724719 -0.06557066 0.03616345 0.01701098]\n", "[ 0.00878435 -0.00724892 -0.06556507 0.03615922 0.01700721]\n", "[ 0.00878525 -0.00725064 -0.06555947 0.036155 0.01700345]\n", "[ 0.00878614 -0.00725236 -0.06555387 0.03615078 0.01699969]\n", "[ 0.00878704 -0.00725408 -0.06554827 0.03614656 0.01699593]\n", "[ 0.00878794 -0.0072558 -0.06554268 0.03614234 0.01699218]\n", "[ 0.00878884 -0.00725751 -0.06553708 0.03613812 0.01698842]\n", "[ 0.00878974 -0.00725923 -0.06553148 0.0361339 0.01698466]\n", "[ 0.00879064 -0.00726095 -0.06552588 0.03612968 0.01698091]\n", "[ 0.00879154 -0.00726266 -0.06552029 0.03612546 0.01697716]\n", "[ 0.00879244 -0.00726438 -0.06551469 0.03612125 0.0169734 ]\n", "[ 0.00879335 -0.00726609 -0.06550909 0.03611704 0.01696965]\n", "[ 0.00879425 -0.0072678 -0.06550349 0.03611282 0.0169659 ]\n", "[ 0.00879516 -0.00726952 -0.0654979 0.03610861 0.01696215]\n", "[ 0.00879607 -0.00727123 -0.0654923 0.0361044 0.0169584 ]\n", "[ 0.00879697 -0.00727294 -0.0654867 0.03610019 0.01695466]\n", "[ 0.00879788 -0.00727465 -0.06548111 0.03609598 0.01695091]\n", "[ 0.00879879 -0.00727635 -0.06547551 0.03609178 0.01694716]\n", "[ 0.0087997 -0.00727806 -0.06546992 0.03608757 0.01694342]\n", "[ 0.00880062 -0.00727977 -0.06546432 0.03608337 0.01693968]\n", "[ 0.00880153 -0.00728147 -0.06545872 0.03607916 0.01693593]\n", "[ 0.00880244 -0.00728318 -0.06545313 0.03607496 0.01693219]\n", "[ 0.00880336 -0.00728488 -0.06544753 0.03607076 0.01692845]\n", "[ 0.00880427 -0.00728658 -0.06544193 0.03606656 0.01692471]\n", "[ 0.00880519 -0.00728829 -0.06543634 0.03606236 0.01692098]\n", "[ 0.00880611 -0.00728999 -0.06543074 0.03605816 0.01691724]\n", "[ 0.00880703 -0.00729169 -0.06542515 0.03605397 0.0169135 ]\n", "[ 0.00880795 -0.00729339 -0.06541955 0.03604977 0.01690977]\n", "[ 0.00880887 -0.00729509 -0.06541396 0.03604558 0.01690603]\n", "[ 0.00880979 -0.00729679 -0.06540836 0.03604138 0.0169023 ]\n", "[ 0.00881071 -0.00729848 -0.06540277 0.03603719 0.01689857]\n", "[ 0.00881163 -0.00730018 -0.06539717 0.036033 0.01689484]\n", "[ 0.00881256 -0.00730187 -0.06539158 0.03602881 0.01689111]\n", "[ 0.00881348 -0.00730357 -0.06538598 0.03602462 0.01688738]\n", "[ 0.00881441 -0.00730526 -0.06538039 0.03602043 0.01688365]\n", "[ 0.00881534 -0.00730695 -0.06537479 0.03601625 0.01687993]\n", "[ 0.00881626 -0.00730865 -0.0653692 0.03601206 0.0168762 ]\n", "[ 0.00881719 -0.00731034 -0.0653636 0.03600787 0.01687248]\n", "[ 0.00881812 -0.00731203 -0.06535801 0.03600369 0.01686875]\n", "[ 0.00881905 -0.00731372 -0.06535242 0.03599951 0.01686503]\n", "[ 0.00881998 -0.00731541 -0.06534682 0.03599533 0.01686131]\n", "[ 0.00882092 -0.00731709 -0.06534123 0.03599115 0.01685759]\n", "[ 0.00882185 -0.00731878 -0.06533563 0.03598697 0.01685387]\n", "[ 0.00882279 -0.00732047 -0.06533004 0.03598279 0.01685015]\n", "[ 0.00882372 -0.00732215 -0.06532445 0.03597861 0.01684643]\n", "[ 0.00882466 -0.00732384 -0.06531885 0.03597444 0.01684272]\n", "[ 0.00882559 -0.00732552 -0.06531326 0.03597026 0.016839 ]\n", "[ 0.00882653 -0.0073272 -0.06530767 0.03596609 0.01683529]\n", "[ 0.00882747 -0.00732888 -0.06530207 0.03596192 0.01683157]\n", "[ 0.00882841 -0.00733057 -0.06529648 0.03595774 0.01682786]\n", "[ 0.00882935 -0.00733225 -0.06529089 0.03595357 0.01682415]\n", "[ 0.00883029 -0.00733392 -0.0652853 0.0359494 0.01682044]\n", "[ 0.00883124 -0.0073356 -0.0652797 0.03594524 0.01681673]\n", "[ 0.00883218 -0.00733728 -0.06527411 0.03594107 0.01681302]\n", "[ 0.00883312 -0.00733896 -0.06526852 0.0359369 0.01680931]\n", "[ 0.00883407 -0.00734063 -0.06526293 0.03593274 0.01680561]\n", "[ 0.00883501 -0.00734231 -0.06525734 0.03592857 0.0168019 ]\n", "[ 0.00883596 -0.00734398 -0.06525174 0.03592441 0.0167982 ]\n", "[ 0.00883691 -0.00734566 -0.06524615 0.03592025 0.01679449]\n", "[ 0.00883786 -0.00734733 -0.06524056 0.03591609 0.01679079]\n", "[ 0.00883881 -0.007349 -0.06523497 0.03591193 0.01678709]\n", "[ 0.00883976 -0.00735067 -0.06522938 0.03590777 0.01678339]\n", "[ 0.00884071 -0.00735234 -0.06522379 0.03590361 0.01677969]\n", "[ 0.00884166 -0.00735401 -0.0652182 0.03589946 0.01677599]\n", "[ 0.00884262 -0.00735568 -0.0652126 0.0358953 0.01677229]\n", "[ 0.00884357 -0.00735735 -0.06520701 0.03589115 0.0167686 ]\n", "[ 0.00884452 -0.00735902 -0.06520142 0.03588699 0.0167649 ]\n", "[ 0.00884548 -0.00736068 -0.06519583 0.03588284 0.01676121]\n", "[ 0.00884644 -0.00736235 -0.06519024 0.03587869 0.01675751]\n", "[ 0.00884739 -0.00736401 -0.06518465 0.03587454 0.01675382]\n", "[ 0.00884835 -0.00736568 -0.06517906 0.03587039 0.01675013]\n", "[ 0.00884931 -0.00736734 -0.06517347 0.03586624 0.01674644]\n", "[ 0.00885027 -0.007369 -0.06516788 0.0358621 0.01674275]\n", "[ 0.00885123 -0.00737066 -0.06516229 0.03585795 0.01673906]\n", "[ 0.00885219 -0.00737232 -0.0651567 0.03585381 0.01673537]\n", "[ 0.00885316 -0.00737398 -0.06515112 0.03584966 0.01673169]\n", "[ 0.00885412 -0.00737564 -0.06514553 0.03584552 0.016728 ]\n", "[ 0.00885508 -0.0073773 -0.06513994 0.03584138 0.01672432]\n", "[ 0.00885605 -0.00737896 -0.06513435 0.03583724 0.01672063]\n", "[ 0.00885702 -0.00738061 -0.06512876 0.0358331 0.01671695]\n", "[ 0.00885798 -0.00738227 -0.06512317 0.03582896 0.01671327]\n", "[ 0.00885895 -0.00738392 -0.06511758 0.03582482 0.01670959]\n", "[ 0.00885992 -0.00738558 -0.065112 0.03582068 0.01670591]\n", "[ 0.00886089 -0.00738723 -0.06510641 0.03581655 0.01670223]\n", "[ 0.00886186 -0.00738888 -0.06510082 0.03581242 0.01669855]\n", "[ 0.00886283 -0.00739054 -0.06509523 0.03580828 0.01669487]\n", "[ 0.0088638 -0.00739219 -0.06508964 0.03580415 0.0166912 ]\n", "[ 0.00886477 -0.00739384 -0.06508406 0.03580002 0.01668752]\n", "[ 0.00886575 -0.00739549 -0.06507847 0.03579589 0.01668385]\n", "[ 0.00886672 -0.00739714 -0.06507288 0.03579176 0.01668017]\n", "[ 0.00886769 -0.00739878 -0.0650673 0.03578763 0.0166765 ]\n", "[ 0.00886867 -0.00740043 -0.06506171 0.0357835 0.01667283]\n", "[ 0.00886965 -0.00740208 -0.06505612 0.03577938 0.01666916]\n", "[ 0.00887062 -0.00740372 -0.06505054 0.03577525 0.01666549]\n", "[ 0.0088716 -0.00740537 -0.06504495 0.03577113 0.01666182]\n", "[ 0.00887258 -0.00740701 -0.06503936 0.03576701 0.01665816]\n", "[ 0.00887356 -0.00740865 -0.06503378 0.03576288 0.01665449]\n", "[ 0.00887454 -0.0074103 -0.06502819 0.03575876 0.01665082]\n", "[ 0.00887552 -0.00741194 -0.06502261 0.03575464 0.01664716]\n", "[ 0.00887651 -0.00741358 -0.06501702 0.03575052 0.0166435 ]\n", "[ 0.00887749 -0.00741522 -0.06501144 0.03574641 0.01663983]\n", "[ 0.00887847 -0.00741686 -0.06500585 0.03574229 0.01663617]\n", "[ 0.00887946 -0.0074185 -0.06500027 0.03573817 0.01663251]\n", "[ 0.00888044 -0.00742013 -0.06499468 0.03573406 0.01662885]\n", "[ 0.00888143 -0.00742177 -0.0649891 0.03572995 0.01662519]\n", "[ 0.00888241 -0.00742341 -0.06498351 0.03572583 0.01662154]\n", "[ 0.0088834 -0.00742504 -0.06497793 0.03572172 0.01661788]\n", "[ 0.00888439 -0.00742668 -0.06497235 0.03571761 0.01661422]\n", "[ 0.00888538 -0.00742831 -0.06496676 0.0357135 0.01661057]\n", "[ 0.00888637 -0.00742994 -0.06496118 0.03570939 0.01660691]\n", "[ 0.00888736 -0.00743158 -0.0649556 0.03570529 0.01660326]\n", "[ 0.00888835 -0.00743321 -0.06495001 0.03570118 0.01659961]\n", "[ 0.00888934 -0.00743484 -0.06494443 0.03569707 0.01659596]\n", "[ 0.00889034 -0.00743647 -0.06493885 0.03569297 0.01659231]\n", "[ 0.00889133 -0.0074381 -0.06493327 0.03568886 0.01658866]\n", "[ 0.00889233 -0.00743973 -0.06492768 0.03568476 0.01658501]\n", "[ 0.00889332 -0.00744135 -0.0649221 0.03568066 0.01658136]\n", "[ 0.00889432 -0.00744298 -0.06491652 0.03567656 0.01657772]\n", "[ 0.00889531 -0.00744461 -0.06491094 0.03567246 0.01657407]\n", "[ 0.00889631 -0.00744623 -0.06490536 0.03566836 0.01657043]\n", "[ 0.00889731 -0.00744786 -0.06489977 0.03566426 0.01656678]\n", "[ 0.00889831 -0.00744948 -0.06489419 0.03566017 0.01656314]\n", "[ 0.00889931 -0.0074511 -0.06488861 0.03565607 0.0165595 ]\n", "[ 0.00890031 -0.00745273 -0.06488303 0.03565198 0.01655586]\n", "[ 0.00890131 -0.00745435 -0.06487745 0.03564788 0.01655222]\n", "[ 0.00890231 -0.00745597 -0.06487187 0.03564379 0.01654858]\n", "[ 0.00890332 -0.00745759 -0.06486629 0.0356397 0.01654494]\n", "[ 0.00890432 -0.00745921 -0.06486071 0.03563561 0.0165413 ]\n", "[ 0.00890533 -0.00746083 -0.06485513 0.03563152 0.01653767]\n", "[ 0.00890633 -0.00746245 -0.06484955 0.03562743 0.01653403]\n", "[ 0.00890734 -0.00746406 -0.06484397 0.03562334 0.0165304 ]\n", "[ 0.00890834 -0.00746568 -0.06483839 0.03561926 0.01652676]\n", "[ 0.00890935 -0.0074673 -0.06483281 0.03561517 0.01652313]\n", "[ 0.00891036 -0.00746891 -0.06482724 0.03561109 0.0165195 ]\n", "[ 0.00891137 -0.00747053 -0.06482166 0.035607 0.01651587]\n", "[ 0.00891238 -0.00747214 -0.06481608 0.03560292 0.01651224]\n", "[ 0.00891339 -0.00747375 -0.0648105 0.03559884 0.01650861]\n", "[ 0.0089144 -0.00747536 -0.06480492 0.03559476 0.01650498]\n", "[ 0.00891541 -0.00747697 -0.06479934 0.03559068 0.01650135]\n", "[ 0.00891642 -0.00747859 -0.06479377 0.0355866 0.01649773]\n", "[ 0.00891743 -0.0074802 -0.06478819 0.03558252 0.0164941 ]\n", "[ 0.00891845 -0.0074818 -0.06478261 0.03557845 0.01649048]\n", "[ 0.00891946 -0.00748341 -0.06477704 0.03557437 0.01648685]\n", "[ 0.00892048 -0.00748502 -0.06477146 0.0355703 0.01648323]\n", "[ 0.00892149 -0.00748663 -0.06476588 0.03556622 0.01647961]\n", "[ 0.00892251 -0.00748823 -0.06476031 0.03556215 0.01647599]\n", "[ 0.00892353 -0.00748984 -0.06475473 0.03555808 0.01647237]\n", "[ 0.00892455 -0.00749144 -0.06474915 0.03555401 0.01646875]\n", "[ 0.00892556 -0.00749305 -0.06474358 0.03554994 0.01646513]\n", "[ 0.00892658 -0.00749465 -0.064738 0.03554587 0.01646152]\n", "[ 0.0089276 -0.00749625 -0.06473243 0.0355418 0.0164579 ]\n", "[ 0.00892862 -0.00749786 -0.06472685 0.03553773 0.01645428]\n", "[ 0.00892965 -0.00749946 -0.06472128 0.03553367 0.01645067]\n", "[ 0.00893067 -0.00750106 -0.0647157 0.0355296 0.01644706]\n", "[ 0.00893169 -0.00750266 -0.06471013 0.03552554 0.01644344]\n", "[ 0.00893271 -0.00750426 -0.06470456 0.03552147 0.01643983]\n", "[ 0.00893374 -0.00750585 -0.06469898 0.03551741 0.01643622]\n", "[ 0.00893476 -0.00750745 -0.06469341 0.03551335 0.01643261]\n", "[ 0.00893579 -0.00750905 -0.06468783 0.03550929 0.016429 ]\n", "[ 0.00893682 -0.00751064 -0.06468226 0.03550523 0.01642539]\n", "[ 0.00893784 -0.00751224 -0.06467669 0.03550117 0.01642179]\n", "[ 0.00893887 -0.00751383 -0.06467112 0.03549712 0.01641818]\n", "[ 0.0089399 -0.00751543 -0.06466554 0.03549306 0.01641458]\n", "[ 0.00894093 -0.00751702 -0.06465997 0.035489 0.01641097]\n", "[ 0.00894196 -0.00751861 -0.0646544 0.03548495 0.01640737]\n", "[ 0.00894299 -0.00752021 -0.06464883 0.0354809 0.01640376]\n", "[ 0.00894402 -0.0075218 -0.06464326 0.03547684 0.01640016]\n", "[ 0.00894505 -0.00752339 -0.06463768 0.03547279 0.01639656]\n", "[ 0.00894608 -0.00752498 -0.06463211 0.03546874 0.01639296]\n", "[ 0.00894712 -0.00752657 -0.06462654 0.03546469 0.01638936]\n", "[ 0.00894815 -0.00752815 -0.06462097 0.03546064 0.01638576]\n", "[ 0.00894918 -0.00752974 -0.0646154 0.0354566 0.01638217]\n", "[ 0.00895022 -0.00753133 -0.06460983 0.03545255 0.01637857]\n", "[ 0.00895125 -0.00753291 -0.06460426 0.0354485 0.01637497]\n", "[ 0.00895229 -0.0075345 -0.06459869 0.03544446 0.01637138]\n", "[ 0.00895333 -0.00753608 -0.06459312 0.03544041 0.01636779]\n", "[ 0.00895437 -0.00753767 -0.06458755 0.03543637 0.01636419]\n", "[ 0.0089554 -0.00753925 -0.06458198 0.03543233 0.0163606 ]\n", "[ 0.00895644 -0.00754083 -0.06457642 0.03542829 0.01635701]\n", "[ 0.00895748 -0.00754242 -0.06457085 0.03542425 0.01635342]\n", "[ 0.00895852 -0.007544 -0.06456528 0.03542021 0.01634983]\n", "[ 0.00895956 -0.00754558 -0.06455971 0.03541617 0.01634624]\n", "[ 0.0089606 -0.00754716 -0.06455414 0.03541213 0.01634265]\n", "[ 0.00896165 -0.00754874 -0.06454858 0.0354081 0.01633907]\n", "[ 0.00896269 -0.00755032 -0.06454301 0.03540406 0.01633548]\n", "[ 0.00896373 -0.00755189 -0.06453744 0.03540003 0.01633189]\n", "[ 0.00896478 -0.00755347 -0.06453188 0.03539599 0.01632831]\n", "[ 0.00896582 -0.00755505 -0.06452631 0.03539196 0.01632473]\n", "[ 0.00896687 -0.00755662 -0.06452074 0.03538793 0.01632114]\n", "[ 0.00896791 -0.0075582 -0.06451518 0.0353839 0.01631756]\n", "[ 0.00896896 -0.00755977 -0.06450961 0.03537987 0.01631398]\n", "[ 0.00897001 -0.00756135 -0.06450404 0.03537584 0.0163104 ]\n", "[ 0.00897105 -0.00756292 -0.06449848 0.03537181 0.01630682]\n", "[ 0.0089721 -0.00756449 -0.06449291 0.03536778 0.01630324]\n", "[ 0.00897315 -0.00756606 -0.06448735 0.03536376 0.01629967]\n", "[ 0.0089742 -0.00756763 -0.06448179 0.03535973 0.01629609]\n", "[ 0.00897525 -0.0075692 -0.06447622 0.03535571 0.01629252]\n", "[ 0.0089763 -0.00757077 -0.06447066 0.03535168 0.01628894]\n", "[ 0.00897735 -0.00757234 -0.06446509 0.03534766 0.01628537]\n", "[ 0.00897841 -0.00757391 -0.06445953 0.03534364 0.01628179]\n", "[ 0.00897946 -0.00757548 -0.06445397 0.03533962 0.01627822]\n", "[ 0.00898051 -0.00757705 -0.0644484 0.0353356 0.01627465]\n", "[ 0.00898157 -0.00757861 -0.06444284 0.03533158 0.01627108]\n", "[ 0.00898262 -0.00758018 -0.06443728 0.03532756 0.01626751]\n", "[ 0.00898368 -0.00758174 -0.06443172 0.03532355 0.01626394]\n", "[ 0.00898473 -0.00758331 -0.06442615 0.03531953 0.01626037]\n", "[ 0.00898579 -0.00758487 -0.06442059 0.03531551 0.01625681]\n", "[ 0.00898684 -0.00758643 -0.06441503 0.0353115 0.01625324]\n", "[ 0.0089879 -0.00758799 -0.06440947 0.03530749 0.01624967]\n", "[ 0.00898896 -0.00758956 -0.06440391 0.03530347 0.01624611]\n", "[ 0.00899002 -0.00759112 -0.06439835 0.03529946 0.01624255]\n", "[ 0.00899108 -0.00759268 -0.06439279 0.03529545 0.01623898]\n", "[ 0.00899214 -0.00759424 -0.06438723 0.03529144 0.01623542]\n", "[ 0.0089932 -0.0075958 -0.06438167 0.03528743 0.01623186]\n", "[ 0.00899426 -0.00759735 -0.06437611 0.03528343 0.0162283 ]\n", "[ 0.00899532 -0.00759891 -0.06437055 0.03527942 0.01622474]\n", "[ 0.00899638 -0.00760047 -0.06436499 0.03527541 0.01622118]\n", "[ 0.00899745 -0.00760202 -0.06435943 0.03527141 0.01621762]\n", "[ 0.00899851 -0.00760358 -0.06435387 0.0352674 0.01621407]\n", "[ 0.00899957 -0.00760513 -0.06434832 0.0352634 0.01621051]\n", "[ 0.00900064 -0.00760669 -0.06434276 0.0352594 0.01620696]\n", "[ 0.0090017 -0.00760824 -0.0643372 0.0352554 0.0162034 ]\n", "[ 0.00900277 -0.00760979 -0.06433164 0.0352514 0.01619985]\n", "[ 0.00900384 -0.00761135 -0.06432608 0.0352474 0.01619629]\n", "[ 0.0090049 -0.0076129 -0.06432053 0.0352434 0.01619274]\n", "[ 0.00900597 -0.00761445 -0.06431497 0.0352394 0.01618919]\n", "[ 0.00900704 -0.007616 -0.06430942 0.0352354 0.01618564]\n", "[ 0.00900811 -0.00761755 -0.06430386 0.03523141 0.01618209]\n", "[ 0.00900917 -0.0076191 -0.0642983 0.03522741 0.01617854]\n", "[ 0.00901024 -0.00762065 -0.06429275 0.03522342 0.016175 ]\n", "[ 0.00901131 -0.00762219 -0.06428719 0.03521942 0.01617145]\n", "[ 0.00901239 -0.00762374 -0.06428164 0.03521543 0.0161679 ]\n", "[ 0.00901346 -0.00762529 -0.06427608 0.03521144 0.01616436]\n", "[ 0.00901453 -0.00762683 -0.06427053 0.03520745 0.01616081]\n", "[ 0.0090156 -0.00762838 -0.06426497 0.03520346 0.01615727]\n", "[ 0.00901667 -0.00762992 -0.06425942 0.03519947 0.01615373]\n", "[ 0.00901775 -0.00763147 -0.06425387 0.03519548 0.01615019]\n", "[ 0.00901882 -0.00763301 -0.06424831 0.0351915 0.01614664]\n", "[ 0.0090199 -0.00763455 -0.06424276 0.03518751 0.0161431 ]\n", "[ 0.00902097 -0.00763609 -0.06423721 0.03518352 0.01613956]\n", "[ 0.00902205 -0.00763763 -0.06423166 0.03517954 0.01613603]\n", "[ 0.00902312 -0.00763917 -0.0642261 0.03517556 0.01613249]\n", "[ 0.0090242 -0.00764071 -0.06422055 0.03517157 0.01612895]\n", "[ 0.00902528 -0.00764225 -0.064215 0.03516759 0.01612541]\n", "[ 0.00902636 -0.00764379 -0.06420945 0.03516361 0.01612188]\n", "[ 0.00902743 -0.00764533 -0.0642039 0.03515963 0.01611834]\n", "[ 0.00902851 -0.00764687 -0.06419835 0.03515565 0.01611481]\n", "[ 0.00902959 -0.0076484 -0.0641928 0.03515167 0.01611128]\n", "[ 0.00903067 -0.00764994 -0.06418725 0.03514769 0.01610775]\n", "[ 0.00903175 -0.00765148 -0.0641817 0.03514372 0.01610422]\n", "[ 0.00903284 -0.00765301 -0.06417615 0.03513974 0.01610068]\n", "[ 0.00903392 -0.00765454 -0.0641706 0.03513577 0.01609716]\n", "[ 0.009035 -0.00765608 -0.06416505 0.03513179 0.01609363]\n", "[ 0.00903608 -0.00765761 -0.0641595 0.03512782 0.0160901 ]\n", "[ 0.00903716 -0.00765914 -0.06415395 0.03512385 0.01608657]\n", "[ 0.00903825 -0.00766067 -0.06414841 0.03511988 0.01608304]\n", "[ 0.00903933 -0.00766221 -0.06414286 0.03511591 0.01607952]\n", "[ 0.00904042 -0.00766374 -0.06413731 0.03511194 0.01607599]\n", "[ 0.0090415 -0.00766527 -0.06413176 0.03510797 0.01607247]\n", "[ 0.00904259 -0.00766679 -0.06412622 0.035104 0.01606895]\n", "[ 0.00904368 -0.00766832 -0.06412067 0.03510003 0.01606543]\n", "[ 0.00904476 -0.00766985 -0.06411512 0.03509607 0.0160619 ]\n", "[ 0.00904585 -0.00767138 -0.06410958 0.0350921 0.01605838]\n", "[ 0.00904694 -0.0076729 -0.06410403 0.03508814 0.01605486]\n", "[ 0.00904803 -0.00767443 -0.06409849 0.03508417 0.01605134]\n", "[ 0.00904911 -0.00767596 -0.06409294 0.03508021 0.01604783]\n", "[ 0.0090502 -0.00767748 -0.0640874 0.03507625 0.01604431]\n", "[ 0.00905129 -0.007679 -0.06408185 0.03507229 0.01604079]\n", "[ 0.00905238 -0.00768053 -0.06407631 0.03506833 0.01603728]\n", "[ 0.00905348 -0.00768205 -0.06407076 0.03506437 0.01603376]\n", "[ 0.00905457 -0.00768357 -0.06406522 0.03506041 0.01603025]\n", "[ 0.00905566 -0.0076851 -0.06405968 0.03505645 0.01602673]\n", "[ 0.00905675 -0.00768662 -0.06405413 0.0350525 0.01602322]\n", "[ 0.00905784 -0.00768814 -0.06404859 0.03504854 0.01601971]\n", "[ 0.00905894 -0.00768966 -0.06404305 0.03504459 0.0160162 ]\n", "[ 0.00906003 -0.00769118 -0.06403751 0.03504063 0.01601269]\n", "[ 0.00906113 -0.00769269 -0.06403197 0.03503668 0.01600918]\n", "[ 0.00906222 -0.00769421 -0.06402642 0.03503273 0.01600567]\n", "[ 0.00906332 -0.00769573 -0.06402088 0.03502878 0.01600216]\n", "[ 0.00906441 -0.00769725 -0.06401534 0.03502482 0.01599865]\n", "[ 0.00906551 -0.00769876 -0.0640098 0.03502087 0.01599515]\n", "[ 0.00906661 -0.00770028 -0.06400426 0.03501693 0.01599164]\n", "[ 0.0090677 -0.00770179 -0.06399872 0.03501298 0.01598814]\n", "[ 0.0090688 -0.00770331 -0.06399318 0.03500903 0.01598463]\n", "[ 0.0090699 -0.00770482 -0.06398764 0.03500508 0.01598113]\n", "[ 0.009071 -0.00770633 -0.0639821 0.03500114 0.01597763]\n", "[ 0.0090721 -0.00770785 -0.06397657 0.03499719 0.01597413]\n", "[ 0.0090732 -0.00770936 -0.06397103 0.03499325 0.01597063]\n", "[ 0.0090743 -0.00771087 -0.06396549 0.03498931 0.01596713]\n", "[ 0.0090754 -0.00771238 -0.06395995 0.03498537 0.01596363]\n", "[ 0.0090765 -0.00771389 -0.06395441 0.03498142 0.01596013]\n", "[ 0.0090776 -0.0077154 -0.06394888 0.03497748 0.01595663]\n", "[ 0.0090787 -0.00771691 -0.06394334 0.03497354 0.01595313]\n", "[ 0.00907981 -0.00771842 -0.0639378 0.03496961 0.01594964]\n", "[ 0.00908091 -0.00771992 -0.06393227 0.03496567 0.01594614]\n", "[ 0.00908201 -0.00772143 -0.06392673 0.03496173 0.01594265]\n", "[ 0.00908312 -0.00772294 -0.0639212 0.03495779 0.01593915]\n", "[ 0.00908422 -0.00772444 -0.06391566 0.03495386 0.01593566]\n", "[ 0.00908533 -0.00772595 -0.06391013 0.03494992 0.01593217]\n", "[ 0.00908643 -0.00772745 -0.06390459 0.03494599 0.01592868]\n", "[ 0.00908754 -0.00772896 -0.06389906 0.03494206 0.01592519]\n", "[ 0.00908864 -0.00773046 -0.06389352 0.03493813 0.0159217 ]\n", "[ 0.00908975 -0.00773196 -0.06388799 0.03493419 0.01591821]\n", "[ 0.00909086 -0.00773346 -0.06388246 0.03493026 0.01591472]\n", "[ 0.00909196 -0.00773497 -0.06387693 0.03492633 0.01591123]\n", "[ 0.00909307 -0.00773647 -0.06387139 0.03492241 0.01590775]\n", "[ 0.00909418 -0.00773797 -0.06386586 0.03491848 0.01590426]\n", "[ 0.00909529 -0.00773947 -0.06386033 0.03491455 0.01590078]\n", "[ 0.0090964 -0.00774097 -0.0638548 0.03491062 0.01589729]\n", "[ 0.00909751 -0.00774246 -0.06384927 0.0349067 0.01589381]\n", "[ 0.00909862 -0.00774396 -0.06384374 0.03490277 0.01589032]\n", "[ 0.00909973 -0.00774546 -0.0638382 0.03489885 0.01588684]\n", "[ 0.00910084 -0.00774696 -0.06383267 0.03489493 0.01588336]\n", "[ 0.00910195 -0.00774845 -0.06382714 0.03489101 0.01587988]\n", "[ 0.00910307 -0.00774995 -0.06382161 0.03488708 0.0158764 ]\n", "[ 0.00910418 -0.00775144 -0.06381609 0.03488316 0.01587292]\n", "[ 0.00910529 -0.00775294 -0.06381056 0.03487924 0.01586944]\n", "[ 0.00910641 -0.00775443 -0.06380503 0.03487533 0.01586597]\n", "[ 0.00910752 -0.00775593 -0.0637995 0.03487141 0.01586249]\n", "[ 0.00910863 -0.00775742 -0.06379397 0.03486749 0.01585901]\n", "[ 0.00910975 -0.00775891 -0.06378844 0.03486357 0.01585554]\n", "[ 0.00911086 -0.0077604 -0.06378292 0.03485966 0.01585206]\n", "[ 0.00911198 -0.00776189 -0.06377739 0.03485574 0.01584859]\n", "[ 0.0091131 -0.00776338 -0.06377186 0.03485183 0.01584512]\n", "[ 0.00911421 -0.00776487 -0.06376634 0.03484792 0.01584165]\n", "[ 0.00911533 -0.00776636 -0.06376081 0.034844 0.01583817]\n", "[ 0.00911645 -0.00776785 -0.06375529 0.03484009 0.0158347 ]\n", "[ 0.00911756 -0.00776934 -0.06374976 0.03483618 0.01583123]\n", "[ 0.00911868 -0.00777083 -0.06374424 0.03483227 0.01582776]\n", "[ 0.0091198 -0.00777232 -0.06373871 0.03482836 0.0158243 ]\n", "[ 0.00912092 -0.0077738 -0.06373319 0.03482446 0.01582083]\n", "[ 0.00912204 -0.00777529 -0.06372766 0.03482055 0.01581736]\n", "[ 0.00912316 -0.00777677 -0.06372214 0.03481664 0.0158139 ]\n", "[ 0.00912428 -0.00777826 -0.06371662 0.03481274 0.01581043]\n", "[ 0.0091254 -0.00777974 -0.06371109 0.03480883 0.01580697]\n", "[ 0.00912652 -0.00778123 -0.06370557 0.03480493 0.0158035 ]\n", "[ 0.00912764 -0.00778271 -0.06370005 0.03480102 0.01580004]\n", "[ 0.00912876 -0.00778419 -0.06369453 0.03479712 0.01579658]\n", "[ 0.00912989 -0.00778567 -0.06368901 0.03479322 0.01579312]\n", "[ 0.00913101 -0.00778715 -0.06368348 0.03478932 0.01578965]\n", "[ 0.00913213 -0.00778863 -0.06367796 0.03478542 0.01578619]\n", "[ 0.00913326 -0.00779011 -0.06367244 0.03478152 0.01578273]\n", "[ 0.00913438 -0.00779159 -0.06366692 0.03477762 0.01577928]\n", "[ 0.0091355 -0.00779307 -0.0636614 0.03477372 0.01577582]\n", "[ 0.00913663 -0.00779455 -0.06365588 0.03476983 0.01577236]\n", "[ 0.00913775 -0.00779603 -0.06365036 0.03476593 0.01576891]\n", "[ 0.00913888 -0.00779751 -0.06364485 0.03476204 0.01576545]\n", "[ 0.00914001 -0.00779898 -0.06363933 0.03475814 0.015762 ]\n", "[ 0.00914113 -0.00780046 -0.06363381 0.03475425 0.01575854]\n", "[ 0.00914226 -0.00780194 -0.06362829 0.03475035 0.01575509]\n", "[ 0.00914339 -0.00780341 -0.06362277 0.03474646 0.01575164]\n", "[ 0.00914451 -0.00780489 -0.06361726 0.03474257 0.01574818]\n", "[ 0.00914564 -0.00780636 -0.06361174 0.03473868 0.01574473]\n", "[ 0.00914677 -0.00780783 -0.06360622 0.03473479 0.01574128]\n", "[ 0.0091479 -0.00780931 -0.06360071 0.0347309 0.01573783]\n", "[ 0.00914903 -0.00781078 -0.06359519 0.03472701 0.01573438]\n", "[ 0.00915016 -0.00781225 -0.06358968 0.03472313 0.01573094]\n", "[ 0.00915129 -0.00781372 -0.06358416 0.03471924 0.01572749]\n", "[ 0.00915242 -0.00781519 -0.06357865 0.03471536 0.01572404]\n", "[ 0.00915355 -0.00781666 -0.06357313 0.03471147 0.0157206 ]\n", "[ 0.00915468 -0.00781813 -0.06356762 0.03470759 0.01571715]\n", "[ 0.00915581 -0.0078196 -0.06356211 0.0347037 0.01571371]\n", "[ 0.00915694 -0.00782107 -0.06355659 0.03469982 0.01571026]\n", "[ 0.00915807 -0.00782254 -0.06355108 0.03469594 0.01570682]\n", "[ 0.00915921 -0.007824 -0.06354557 0.03469206 0.01570338]\n", "[ 0.00916034 -0.00782547 -0.06354006 0.03468818 0.01569994]\n", "[ 0.00916147 -0.00782694 -0.06353455 0.0346843 0.0156965 ]\n", "[ 0.00916261 -0.0078284 -0.06352903 0.03468042 0.01569306]\n", "[ 0.00916374 -0.00782987 -0.06352352 0.03467654 0.01568962]\n", "[ 0.00916488 -0.00783133 -0.06351801 0.03467266 0.01568618]\n", "[ 0.00916601 -0.0078328 -0.0635125 0.03466879 0.01568274]\n", "[ 0.00916715 -0.00783426 -0.06350699 0.03466491 0.0156793 ]\n", "[ 0.00916828 -0.00783572 -0.06350148 0.03466104 0.01567587]\n", "[ 0.00916942 -0.00783718 -0.06349597 0.03465716 0.01567243]\n", "[ 0.00917055 -0.00783865 -0.06349046 0.03465329 0.015669 ]\n", "[ 0.00917169 -0.00784011 -0.06348496 0.03464942 0.01566556]\n", "[ 0.00917283 -0.00784157 -0.06347945 0.03464555 0.01566213]\n", "[ 0.00917396 -0.00784303 -0.06347394 0.03464168 0.0156587 ]\n", "[ 0.0091751 -0.00784449 -0.06346843 0.03463781 0.01565526]\n", "[ 0.00917624 -0.00784595 -0.06346293 0.03463394 0.01565183]\n", "[ 0.00917738 -0.00784741 -0.06345742 0.03463007 0.0156484 ]\n", "[ 0.00917852 -0.00784886 -0.06345191 0.0346262 0.01564497]\n", "[ 0.00917966 -0.00785032 -0.06344641 0.03462234 0.01564154]\n", "[ 0.0091808 -0.00785178 -0.0634409 0.03461847 0.01563811]\n", "[ 0.00918194 -0.00785323 -0.0634354 0.0346146 0.01563469]\n", "[ 0.00918308 -0.00785469 -0.06342989 0.03461074 0.01563126]\n", "[ 0.00918422 -0.00785615 -0.06342439 0.03460688 0.01562783]\n", "[ 0.00918536 -0.0078576 -0.06341888 0.03460301 0.01562441]\n", "[ 0.0091865 -0.00785905 -0.06341338 0.03459915 0.01562098]\n", "[ 0.00918764 -0.00786051 -0.06340788 0.03459529 0.01561756]\n", "[ 0.00918878 -0.00786196 -0.06340237 0.03459143 0.01561414]\n", "[ 0.00918993 -0.00786341 -0.06339687 0.03458757 0.01561071]\n", "[ 0.00919107 -0.00786487 -0.06339137 0.03458371 0.01560729]\n", "[ 0.00919221 -0.00786632 -0.06338587 0.03457985 0.01560387]\n", "[ 0.00919335 -0.00786777 -0.06338037 0.03457599 0.01560045]\n", "[ 0.0091945 -0.00786922 -0.06337486 0.03457214 0.01559703]\n", "[ 0.00919564 -0.00787067 -0.06336936 0.03456828 0.01559361]\n", "[ 0.00919679 -0.00787212 -0.06336386 0.03456443 0.01559019]\n", "[ 0.00919793 -0.00787357 -0.06335836 0.03456057 0.01558678]\n", "[ 0.00919908 -0.00787502 -0.06335286 0.03455672 0.01558336]\n", "[ 0.00920022 -0.00787646 -0.06334736 0.03455286 0.01557994]\n", "[ 0.00920137 -0.00787791 -0.06334187 0.03454901 0.01557653]\n", "[ 0.00920251 -0.00787936 -0.06333637 0.03454516 0.01557311]\n", "[ 0.00920366 -0.0078808 -0.06333087 0.03454131 0.0155697 ]\n", "[ 0.00920481 -0.00788225 -0.06332537 0.03453746 0.01556628]\n", "[ 0.00920595 -0.0078837 -0.06331987 0.03453361 0.01556287]\n", "[ 0.0092071 -0.00788514 -0.06331438 0.03452976 0.01555946]\n", "[ 0.00920825 -0.00788658 -0.06330888 0.03452592 0.01555605]\n", "[ 0.0092094 -0.00788803 -0.06330338 0.03452207 0.01555264]\n", "[ 0.00921055 -0.00788947 -0.06329789 0.03451822 0.01554923]\n", "[ 0.00921169 -0.00789091 -0.06329239 0.03451438 0.01554582]\n", "[ 0.00921284 -0.00789236 -0.0632869 0.03451053 0.01554241]\n", "[ 0.00921399 -0.0078938 -0.0632814 0.03450669 0.015539 ]\n", "[ 0.00921514 -0.00789524 -0.06327591 0.03450285 0.0155356 ]\n", "[ 0.00921629 -0.00789668 -0.06327042 0.034499 0.01553219]\n", "[ 0.00921744 -0.00789812 -0.06326492 0.03449516 0.01552878]\n", "[ 0.00921859 -0.00789956 -0.06325943 0.03449132 0.01552538]\n", "[ 0.00921974 -0.007901 -0.06325394 0.03448748 0.01552198]\n", "[ 0.0092209 -0.00790244 -0.06324844 0.03448364 0.01551857]\n", "[ 0.00922205 -0.00790387 -0.06324295 0.0344798 0.01551517]\n", "[ 0.0092232 -0.00790531 -0.06323746 0.03447597 0.01551177]\n", "[ 0.00922435 -0.00790675 -0.06323197 0.03447213 0.01550837]\n", "[ 0.0092255 -0.00790818 -0.06322648 0.03446829 0.01550497]\n", "[ 0.00922666 -0.00790962 -0.06322099 0.03446446 0.01550157]\n", "[ 0.00922781 -0.00791106 -0.0632155 0.03446062 0.01549817]\n", "[ 0.00922896 -0.00791249 -0.06321001 0.03445679 0.01549477]\n", "[ 0.00923012 -0.00791392 -0.06320452 0.03445295 0.01549137]\n", "[ 0.00923127 -0.00791536 -0.06319903 0.03444912 0.01548797]\n", "[ 0.00923242 -0.00791679 -0.06319354 0.03444529 0.01548458]\n", "[ 0.00923358 -0.00791822 -0.06318805 0.03444146 0.01548118]\n", "[ 0.00923473 -0.00791966 -0.06318256 0.03443763 0.01547779]\n", "[ 0.00923589 -0.00792109 -0.06317708 0.0344338 0.01547439]\n", "[ 0.00923705 -0.00792252 -0.06317159 0.03442997 0.015471 ]\n", "[ 0.0092382 -0.00792395 -0.0631661 0.03442614 0.0154676 ]\n", "[ 0.00923936 -0.00792538 -0.06316062 0.03442232 0.01546421]\n", "[ 0.00924051 -0.00792681 -0.06315513 0.03441849 0.01546082]\n", "[ 0.00924167 -0.00792824 -0.06314965 0.03441466 0.01545743]\n", "[ 0.00924283 -0.00792967 -0.06314416 0.03441084 0.01545404]\n", "[ 0.00924399 -0.0079311 -0.06313868 0.03440701 0.01545065]\n", "[ 0.00924514 -0.00793252 -0.06313319 0.03440319 0.01544726]\n", "[ 0.0092463 -0.00793395 -0.06312771 0.03439937 0.01544387]\n", "[ 0.00924746 -0.00793538 -0.06312222 0.03439554 0.01544049]\n", "[ 0.00924862 -0.0079368 -0.06311674 0.03439172 0.0154371 ]\n", "[ 0.00924978 -0.00793823 -0.06311126 0.0343879 0.01543371]\n", "[ 0.00925094 -0.00793965 -0.06310578 0.03438408 0.01543033]\n", "[ 0.0092521 -0.00794108 -0.06310029 0.03438026 0.01542694]\n", "[ 0.00925326 -0.0079425 -0.06309481 0.03437645 0.01542356]\n", "[ 0.00925442 -0.00794393 -0.06308933 0.03437263 0.01542018]\n", "[ 0.00925558 -0.00794535 -0.06308385 0.03436881 0.01541679]\n", "[ 0.00925674 -0.00794677 -0.06307837 0.03436499 0.01541341]\n", "[ 0.0092579 -0.0079482 -0.06307289 0.03436118 0.01541003]\n", "[ 0.00925906 -0.00794962 -0.06306741 0.03435736 0.01540665]\n", "[ 0.00926022 -0.00795104 -0.06306193 0.03435355 0.01540327]\n", "[ 0.00926138 -0.00795246 -0.06305645 0.03434974 0.01539989]\n", "[ 0.00926254 -0.00795388 -0.06305097 0.03434592 0.01539651]\n", "[ 0.00926371 -0.0079553 -0.0630455 0.03434211 0.01539313]\n", "[ 0.00926487 -0.00795672 -0.06304002 0.0343383 0.01538976]\n", "[ 0.00926603 -0.00795814 -0.06303454 0.03433449 0.01538638]\n", "[ 0.00926719 -0.00795955 -0.06302907 0.03433068 0.015383 ]\n", "[ 0.00926836 -0.00796097 -0.06302359 0.03432687 0.01537963]\n", "[ 0.00926952 -0.00796239 -0.06301811 0.03432306 0.01537625]\n", "[ 0.00927069 -0.00796381 -0.06301264 0.03431926 0.01537288]\n", "[ 0.00927185 -0.00796522 -0.06300716 0.03431545 0.01536951]\n", "[ 0.00927301 -0.00796664 -0.06300169 0.03431164 0.01536613]\n", "[ 0.00927418 -0.00796805 -0.06299621 0.03430784 0.01536276]\n", "[ 0.00927534 -0.00796947 -0.06299074 0.03430403 0.01535939]\n", "[ 0.00927651 -0.00797088 -0.06298527 0.03430023 0.01535602]\n", "[ 0.00927767 -0.0079723 -0.06297979 0.03429643 0.01535265]\n", "[ 0.00927884 -0.00797371 -0.06297432 0.03429262 0.01534928]\n", "[ 0.00928001 -0.00797512 -0.06296885 0.03428882 0.01534591]\n", "[ 0.00928117 -0.00797653 -0.06296338 0.03428502 0.01534255]\n", "[ 0.00928234 -0.00797795 -0.0629579 0.03428122 0.01533918]\n", "[ 0.00928351 -0.00797936 -0.06295243 0.03427742 0.01533581]\n", "[ 0.00928467 -0.00798077 -0.06294696 0.03427362 0.01533245]\n", "[ 0.00928584 -0.00798218 -0.06294149 0.03426983 0.01532908]\n", "[ 0.00928701 -0.00798359 -0.06293602 0.03426603 0.01532572]\n", "[ 0.00928818 -0.007985 -0.06293055 0.03426223 0.01532235]\n", "[ 0.00928934 -0.00798641 -0.06292508 0.03425844 0.01531899]\n", "[ 0.00929051 -0.00798781 -0.06291961 0.03425464 0.01531563]\n", "[ 0.00929168 -0.00798922 -0.06291415 0.03425085 0.01531227]\n", "[ 0.00929285 -0.00799063 -0.06290868 0.03424705 0.01530891]\n", "[ 0.00929402 -0.00799204 -0.06290321 0.03424326 0.01530555]\n", "[ 0.00929519 -0.00799344 -0.06289774 0.03423947 0.01530219]\n", "[ 0.00929636 -0.00799485 -0.06289228 0.03423568 0.01529883]\n", "[ 0.00929753 -0.00799625 -0.06288681 0.03423188 0.01529547]\n", "[ 0.0092987 -0.00799766 -0.06288134 0.03422809 0.01529211]\n", "[ 0.00929987 -0.00799906 -0.06287588 0.03422431 0.01528875]\n", "[ 0.00930104 -0.00800047 -0.06287041 0.03422052 0.0152854 ]\n", "[ 0.00930221 -0.00800187 -0.06286495 0.03421673 0.01528204]\n", "[ 0.00930338 -0.00800328 -0.06285949 0.03421294 0.01527869]\n", "[ 0.00930455 -0.00800468 -0.06285402 0.03420915 0.01527533]\n", "[ 0.00930573 -0.00800608 -0.06284856 0.03420537 0.01527198]\n", "[ 0.0093069 -0.00800748 -0.0628431 0.03420158 0.01526863]\n", "[ 0.00930807 -0.00800888 -0.06283763 0.0341978 0.01526527]\n", "[ 0.00930924 -0.00801028 -0.06283217 0.03419402 0.01526192]\n", "[ 0.00931041 -0.00801168 -0.06282671 0.03419023 0.01525857]\n", "[ 0.00931159 -0.00801308 -0.06282125 0.03418645 0.01525522]\n", "[ 0.00931276 -0.00801448 -0.06281579 0.03418267 0.01525187]\n", "[ 0.00931393 -0.00801588 -0.06281033 0.03417889 0.01524852]\n", "[ 0.00931511 -0.00801728 -0.06280487 0.03417511 0.01524517]\n", "[ 0.00931628 -0.00801868 -0.06279941 0.03417133 0.01524183]\n", "[ 0.00931746 -0.00802008 -0.06279395 0.03416755 0.01523848]\n", "[ 0.00931863 -0.00802147 -0.06278849 0.03416377 0.01523513]\n", "[ 0.0093198 -0.00802287 -0.06278303 0.03415999 0.01523179]\n", "[ 0.00932098 -0.00802426 -0.06277757 0.03415622 0.01522844]\n", "[ 0.00932215 -0.00802566 -0.06277211 0.03415244 0.0152251 ]\n", "[ 0.00932333 -0.00802705 -0.06276666 0.03414866 0.01522175]\n", "[ 0.0093245 -0.00802845 -0.0627612 0.03414489 0.01521841]\n", "[ 0.00932568 -0.00802984 -0.06275574 0.03414112 0.01521507]\n", "[ 0.00932686 -0.00803124 -0.06275029 0.03413734 0.01521172]\n", "[ 0.00932803 -0.00803263 -0.06274483 0.03413357 0.01520838]\n", "[ 0.00932921 -0.00803402 -0.06273938 0.0341298 0.01520504]\n", "[ 0.00933039 -0.00803542 -0.06273392 0.03412603 0.0152017 ]\n", "[ 0.00933156 -0.00803681 -0.06272847 0.03412226 0.01519836]\n", "[ 0.00933274 -0.0080382 -0.06272302 0.03411849 0.01519503]\n", "[ 0.00933392 -0.00803959 -0.06271756 0.03411472 0.01519169]\n", "[ 0.00933509 -0.00804098 -0.06271211 0.03411095 0.01518835]\n", "[ 0.00933627 -0.00804237 -0.06270666 0.03410718 0.01518501]\n", "[ 0.00933745 -0.00804376 -0.0627012 0.03410342 0.01518168]\n", "[ 0.00933863 -0.00804515 -0.06269575 0.03409965 0.01517834]\n", "[ 0.00933981 -0.00804654 -0.0626903 0.03409588 0.01517501]\n", "[ 0.00934098 -0.00804792 -0.06268485 0.03409212 0.01517167]\n", "[ 0.00934216 -0.00804931 -0.0626794 0.03408835 0.01516834]\n", "[ 0.00934334 -0.0080507 -0.06267395 0.03408459 0.01516501]\n", "[ 0.00934452 -0.00805209 -0.0626685 0.03408083 0.01516167]\n", "[ 0.0093457 -0.00805347 -0.06266305 0.03407707 0.01515834]\n", "[ 0.00934688 -0.00805486 -0.0626576 0.03407331 0.01515501]\n", "[ 0.00934806 -0.00805624 -0.06265215 0.03406954 0.01515168]\n", "[ 0.00934924 -0.00805763 -0.06264671 0.03406578 0.01514835]\n", "[ 0.00935042 -0.00805901 -0.06264126 0.03406203 0.01514502]\n", "[ 0.0093516 -0.0080604 -0.06263581 0.03405827 0.0151417 ]\n", "[ 0.00935278 -0.00806178 -0.06263037 0.03405451 0.01513837]\n", "[ 0.00935396 -0.00806316 -0.06262492 0.03405075 0.01513504]\n", "[ 0.00935514 -0.00806454 -0.06261947 0.03404699 0.01513171]\n", "[ 0.00935633 -0.00806593 -0.06261403 0.03404324 0.01512839]\n", "[ 0.00935751 -0.00806731 -0.06260858 0.03403948 0.01512506]\n", "[ 0.00935869 -0.00806869 -0.06260314 0.03403573 0.01512174]\n", "[ 0.00935987 -0.00807007 -0.0625977 0.03403198 0.01511842]\n", "[ 0.00936105 -0.00807145 -0.06259225 0.03402822 0.01511509]\n", "[ 0.00936224 -0.00807283 -0.06258681 0.03402447 0.01511177]\n", "[ 0.00936342 -0.00807421 -0.06258137 0.03402072 0.01510845]\n", "[ 0.0093646 -0.00807559 -0.06257592 0.03401697 0.01510513]\n", "[ 0.00936578 -0.00807697 -0.06257048 0.03401322 0.01510181]\n", "[ 0.00936697 -0.00807835 -0.06256504 0.03400947 0.01509849]\n", "[ 0.00936815 -0.00807972 -0.0625596 0.03400572 0.01509517]\n", "[ 0.00936933 -0.0080811 -0.06255416 0.03400197 0.01509185]\n", "[ 0.00937052 -0.00808248 -0.06254872 0.03399822 0.01508853]\n", "[ 0.0093717 -0.00808385 -0.06254328 0.03399448 0.01508521]\n", "[ 0.00937289 -0.00808523 -0.06253784 0.03399073 0.0150819 ]\n", "[ 0.00937407 -0.0080866 -0.0625324 0.03398698 0.01507858]\n", "[ 0.00937525 -0.00808798 -0.06252696 0.03398324 0.01507526]\n", "[ 0.00937644 -0.00808935 -0.06252152 0.03397949 0.01507195]\n", "[ 0.00937762 -0.00809073 -0.06251609 0.03397575 0.01506863]\n", "[ 0.00937881 -0.0080921 -0.06251065 0.03397201 0.01506532]\n", "[ 0.00937999 -0.00809347 -0.06250521 0.03396827 0.01506201]\n", "[ 0.00938118 -0.00809485 -0.06249978 0.03396452 0.0150587 ]\n", "[ 0.00938237 -0.00809622 -0.06249434 0.03396078 0.01505538]\n", "[ 0.00938355 -0.00809759 -0.06248891 0.03395704 0.01505207]\n", "[ 0.00938474 -0.00809896 -0.06248347 0.0339533 0.01504876]\n", "[ 0.00938592 -0.00810033 -0.06247804 0.03394956 0.01504545]\n", "[ 0.00938711 -0.0081017 -0.0624726 0.03394583 0.01504214]\n", "[ 0.0093883 -0.00810307 -0.06246717 0.03394209 0.01503883]\n", "[ 0.00938948 -0.00810444 -0.06246174 0.03393835 0.01503553]\n", "[ 0.00939067 -0.00810581 -0.0624563 0.03393462 0.01503222]\n", "[ 0.00939186 -0.00810718 -0.06245087 0.03393088 0.01502891]\n", "[ 0.00939304 -0.00810855 -0.06244544 0.03392715 0.01502561]\n", "[ 0.00939423 -0.00810992 -0.06244001 0.03392341 0.0150223 ]\n", "[ 0.00939542 -0.00811128 -0.06243458 0.03391968 0.015019 ]\n", "[ 0.00939661 -0.00811265 -0.06242915 0.03391595 0.01501569]\n", "[ 0.0093978 -0.00811402 -0.06242372 0.03391221 0.01501239]\n", "[ 0.00939898 -0.00811538 -0.06241829 0.03390848 0.01500909]\n", "[ 0.00940017 -0.00811675 -0.06241286 0.03390475 0.01500578]\n", "[ 0.00940136 -0.00811811 -0.06240743 0.03390102 0.01500248]\n", "[ 0.00940255 -0.00811948 -0.062402 0.03389729 0.01499918]\n", "[ 0.00940374 -0.00812084 -0.06239657 0.03389356 0.01499588]\n", "[ 0.00940493 -0.0081222 -0.06239114 0.03388983 0.01499258]\n", "[ 0.00940612 -0.00812357 -0.06238572 0.03388611 0.01498928]\n", "[ 0.00940731 -0.00812493 -0.06238029 0.03388238 0.01498598]\n", "[ 0.0094085 -0.00812629 -0.06237486 0.03387865 0.01498268]\n", "[ 0.00940969 -0.00812766 -0.06236944 0.03387493 0.01497939]\n", "[ 0.00941088 -0.00812902 -0.06236401 0.0338712 0.01497609]\n", "[ 0.00941207 -0.00813038 -0.06235859 0.03386748 0.01497279]\n", "[ 0.00941326 -0.00813174 -0.06235316 0.03386376 0.0149695 ]\n", "[ 0.00941445 -0.0081331 -0.06234774 0.03386003 0.0149662 ]\n", "[ 0.00941564 -0.00813446 -0.06234232 0.03385631 0.01496291]\n", "[ 0.00941683 -0.00813582 -0.06233689 0.03385259 0.01495962]\n", "[ 0.00941802 -0.00813718 -0.06233147 0.03384887 0.01495632]\n", "[ 0.00941921 -0.00813854 -0.06232605 0.03384515 0.01495303]\n", "[ 0.0094204 -0.00813989 -0.06232063 0.03384143 0.01494974]\n", "[ 0.00942159 -0.00814125 -0.06231521 0.03383771 0.01494645]\n", "[ 0.00942278 -0.00814261 -0.06230978 0.03383399 0.01494316]\n", "[ 0.00942398 -0.00814397 -0.06230436 0.03383027 0.01493987]\n", "[ 0.00942517 -0.00814532 -0.06229894 0.03382656 0.01493658]\n", "[ 0.00942636 -0.00814668 -0.06229352 0.03382284 0.01493329]\n", "[ 0.00942755 -0.00814803 -0.06228811 0.03381913 0.01493 ]\n", "[ 0.00942874 -0.00814939 -0.06228269 0.03381541 0.01492671]\n", "[ 0.00942994 -0.00815074 -0.06227727 0.0338117 0.01492343]\n", "[ 0.00943113 -0.0081521 -0.06227185 0.03380798 0.01492014]\n", "[ 0.00943232 -0.00815345 -0.06226643 0.03380427 0.01491685]\n", "[ 0.00943352 -0.00815481 -0.06226102 0.03380056 0.01491357]\n", "[ 0.00943471 -0.00815616 -0.0622556 0.03379685 0.01491029]\n", "[ 0.0094359 -0.00815751 -0.06225019 0.03379314 0.014907 ]\n", "[ 0.0094371 -0.00815886 -0.06224477 0.03378943 0.01490372]\n", "[ 0.00943829 -0.00816021 -0.06223935 0.03378572 0.01490044]\n", "[ 0.00943948 -0.00816157 -0.06223394 0.03378201 0.01489715]\n", "[ 0.00944068 -0.00816292 -0.06222853 0.0337783 0.01489387]\n", "[ 0.00944187 -0.00816427 -0.06222311 0.03377459 0.01489059]\n", "[ 0.00944306 -0.00816562 -0.0622177 0.03377088 0.01488731]\n", "[ 0.00944426 -0.00816697 -0.06221229 0.03376718 0.01488403]\n", "[ 0.00944545 -0.00816832 -0.06220687 0.03376347 0.01488075]\n", "[ 0.00944665 -0.00816966 -0.06220146 0.03375977 0.01487747]\n", "[ 0.00944784 -0.00817101 -0.06219605 0.03375606 0.0148742 ]\n", "[ 0.00944904 -0.00817236 -0.06219064 0.03375236 0.01487092]\n", "[ 0.00945023 -0.00817371 -0.06218523 0.03374866 0.01486764]\n", "[ 0.00945143 -0.00817506 -0.06217982 0.03374495 0.01486437]\n", "[ 0.00945262 -0.0081764 -0.06217441 0.03374125 0.01486109]\n", "[ 0.00945382 -0.00817775 -0.062169 0.03373755 0.01485782]\n", "[ 0.00945501 -0.00817909 -0.06216359 0.03373385 0.01485454]\n", "[ 0.00945621 -0.00818044 -0.06215818 0.03373015 0.01485127]\n", "[ 0.00945741 -0.00818178 -0.06215278 0.03372645 0.014848 ]\n", "[ 0.0094586 -0.00818313 -0.06214737 0.03372275 0.01484472]\n", "[ 0.0094598 -0.00818447 -0.06214196 0.03371905 0.01484145]\n", "[ 0.009461 -0.00818582 -0.06213656 0.03371536 0.01483818]\n", "[ 0.00946219 -0.00818716 -0.06213115 0.03371166 0.01483491]\n", "[ 0.00946339 -0.0081885 -0.06212574 0.03370796 0.01483164]\n", "[ 0.00946459 -0.00818984 -0.06212034 0.03370427 0.01482837]\n", "[ 0.00946578 -0.00819119 -0.06211493 0.03370057 0.0148251 ]\n", "[ 0.00946698 -0.00819253 -0.06210953 0.03369688 0.01482183]\n", "[ 0.00946818 -0.00819387 -0.06210413 0.03369319 0.01481857]\n", "[ 0.00946937 -0.00819521 -0.06209872 0.03368949 0.0148153 ]\n", "[ 0.00947057 -0.00819655 -0.06209332 0.0336858 0.01481203]\n", "[ 0.00947177 -0.00819789 -0.06208792 0.03368211 0.01480877]\n", "[ 0.00947297 -0.00819923 -0.06208252 0.03367842 0.0148055 ]\n", "[ 0.00947416 -0.00820057 -0.06207711 0.03367473 0.01480224]\n", "[ 0.00947536 -0.00820191 -0.06207171 0.03367104 0.01479897]\n", "[ 0.00947656 -0.00820325 -0.06206631 0.03366735 0.01479571]\n", "[ 0.00947776 -0.00820458 -0.06206091 0.03366366 0.01479245]\n", "[ 0.00947896 -0.00820592 -0.06205551 0.03365997 0.01478919]\n", "[ 0.00948016 -0.00820726 -0.06205011 0.03365629 0.01478593]\n", "[ 0.00948135 -0.0082086 -0.06204472 0.0336526 0.01478266]\n", "[ 0.00948255 -0.00820993 -0.06203932 0.03364892 0.0147794 ]\n", "[ 0.00948375 -0.00821127 -0.06203392 0.03364523 0.01477614]\n", "[ 0.00948495 -0.0082126 -0.06202852 0.03364155 0.01477288]\n", "[ 0.00948615 -0.00821394 -0.06202313 0.03363786 0.01476963]\n", "[ 0.00948735 -0.00821527 -0.06201773 0.03363418 0.01476637]\n", "[ 0.00948855 -0.00821661 -0.06201233 0.0336305 0.01476311]\n", "[ 0.00948975 -0.00821794 -0.06200694 0.03362681 0.01475985]\n", "[ 0.00949095 -0.00821927 -0.06200154 0.03362313 0.0147566 ]\n", "[ 0.00949215 -0.00822061 -0.06199615 0.03361945 0.01475334]\n", "[ 0.00949335 -0.00822194 -0.06199075 0.03361577 0.01475009]\n", "[ 0.00949455 -0.00822327 -0.06198536 0.03361209 0.01474683]\n", "[ 0.00949575 -0.0082246 -0.06197997 0.03360841 0.01474358]\n", "[ 0.00949695 -0.00822594 -0.06197458 0.03360474 0.01474033]\n", "[ 0.00949815 -0.00822727 -0.06196918 0.03360106 0.01473707]\n", "[ 0.00949935 -0.0082286 -0.06196379 0.03359738 0.01473382]\n", "[ 0.00950055 -0.00822993 -0.0619584 0.03359371 0.01473057]\n", "[ 0.00950175 -0.00823126 -0.06195301 0.03359003 0.01472732]\n", "[ 0.00950295 -0.00823259 -0.06194762 0.03358636 0.01472407]\n", "[ 0.00950415 -0.00823391 -0.06194223 0.03358268 0.01472082]\n", "[ 0.00950535 -0.00823524 -0.06193684 0.03357901 0.01471757]\n", "[ 0.00950655 -0.00823657 -0.06193145 0.03357533 0.01471432]\n", "[ 0.00950775 -0.0082379 -0.06192606 0.03357166 0.01471107]\n", "[ 0.00950895 -0.00823923 -0.06192067 0.03356799 0.01470783]\n", "[ 0.00951016 -0.00824055 -0.06191529 0.03356432 0.01470458]\n", "[ 0.00951136 -0.00824188 -0.0619099 0.03356065 0.01470133]\n", "[ 0.00951256 -0.00824321 -0.06190451 0.03355698 0.01469809]\n", "[ 0.00951376 -0.00824453 -0.06189913 0.03355331 0.01469484]\n", "[ 0.00951496 -0.00824586 -0.06189374 0.03354964 0.0146916 ]\n", "[ 0.00951616 -0.00824718 -0.06188836 0.03354597 0.01468835]\n", "[ 0.00951737 -0.00824851 -0.06188297 0.0335423 0.01468511]\n", "[ 0.00951857 -0.00824983 -0.06187759 0.03353864 0.01468187]\n", "[ 0.00951977 -0.00825115 -0.0618722 0.03353497 0.01467863]\n", "[ 0.00952097 -0.00825248 -0.06186682 0.03353131 0.01467538]\n", "[ 0.00952218 -0.0082538 -0.06186144 0.03352764 0.01467214]\n", "[ 0.00952338 -0.00825512 -0.06185605 0.03352398 0.0146689 ]\n", "[ 0.00952458 -0.00825645 -0.06185067 0.03352031 0.01466566]\n", "[ 0.00952578 -0.00825777 -0.06184529 0.03351665 0.01466242]\n", "[ 0.00952699 -0.00825909 -0.06183991 0.03351299 0.01465919]\n", "[ 0.00952819 -0.00826041 -0.06183453 0.03350933 0.01465595]\n", "[ 0.00952939 -0.00826173 -0.06182915 0.03350567 0.01465271]\n", "[ 0.0095306 -0.00826305 -0.06182377 0.033502 0.01464947]\n", "[ 0.0095318 -0.00826437 -0.06181839 0.03349834 0.01464624]\n", "[ 0.009533 -0.00826569 -0.06181301 0.03349469 0.014643 ]\n", "[ 0.00953421 -0.00826701 -0.06180763 0.03349103 0.01463977]\n", "[ 0.00953541 -0.00826833 -0.06180226 0.03348737 0.01463653]\n", "[ 0.00953661 -0.00826965 -0.06179688 0.03348371 0.0146333 ]\n", "[ 0.00953782 -0.00827096 -0.0617915 0.03348005 0.01463006]\n", "[ 0.00953902 -0.00827228 -0.06178613 0.0334764 0.01462683]\n", "[ 0.00954023 -0.0082736 -0.06178075 0.03347274 0.0146236 ]\n", "[ 0.00954143 -0.00827491 -0.06177537 0.03346909 0.01462037]\n", "[ 0.00954263 -0.00827623 -0.06177 0.03346543 0.01461714]\n", "[ 0.00954384 -0.00827755 -0.06176463 0.03346178 0.01461391]\n", "[ 0.00954504 -0.00827886 -0.06175925 0.03345813 0.01461068]\n", "[ 0.00954625 -0.00828018 -0.06175388 0.03345447 0.01460745]\n", "[ 0.00954745 -0.00828149 -0.0617485 0.03345082 0.01460422]\n", "[ 0.00954866 -0.00828281 -0.06174313 0.03344717 0.01460099]\n", "[ 0.00954986 -0.00828412 -0.06173776 0.03344352 0.01459776]\n", "[ 0.00955107 -0.00828543 -0.06173239 0.03343987 0.01459454]\n", "[ 0.00955227 -0.00828675 -0.06172702 0.03343622 0.01459131]\n", "[ 0.00955348 -0.00828806 -0.06172165 0.03343257 0.01458808]\n", "[ 0.00955468 -0.00828937 -0.06171628 0.03342892 0.01458486]\n", "[ 0.00955589 -0.00829068 -0.06171091 0.03342528 0.01458163]\n", "[ 0.00955709 -0.00829199 -0.06170554 0.03342163 0.01457841]\n", "[ 0.0095583 -0.00829331 -0.06170017 0.03341798 0.01457519]\n", "[ 0.0095595 -0.00829462 -0.0616948 0.03341434 0.01457196]\n", "[ 0.00956071 -0.00829593 -0.06168943 0.03341069 0.01456874]\n", "[ 0.00956191 -0.00829724 -0.06168407 0.03340705 0.01456552]\n", "[ 0.00956312 -0.00829855 -0.0616787 0.0334034 0.0145623 ]\n", "[ 0.00956432 -0.00829986 -0.06167333 0.03339976 0.01455908]\n", "[ 0.00956553 -0.00830116 -0.06166797 0.03339612 0.01455586]\n", "[ 0.00956674 -0.00830247 -0.0616626 0.03339247 0.01455264]\n", "[ 0.00956794 -0.00830378 -0.06165724 0.03338883 0.01454942]\n", "[ 0.00956915 -0.00830509 -0.06165187 0.03338519 0.0145462 ]\n", "[ 0.00957035 -0.0083064 -0.06164651 0.03338155 0.01454298]\n", "[ 0.00957156 -0.0083077 -0.06164114 0.03337791 0.01453976]\n", "[ 0.00957277 -0.00830901 -0.06163578 0.03337427 0.01453655]\n", "[ 0.00957397 -0.00831032 -0.06163042 0.03337063 0.01453333]\n", "[ 0.00957518 -0.00831162 -0.06162506 0.033367 0.01453011]\n", "[ 0.00957639 -0.00831293 -0.0616197 0.03336336 0.0145269 ]\n", "[ 0.00957759 -0.00831423 -0.06161433 0.03335972 0.01452368]\n", "[ 0.0095788 -0.00831554 -0.06160897 0.03335609 0.01452047]\n", "[ 0.00958001 -0.00831684 -0.06160361 0.03335245 0.01451726]\n", "[ 0.00958121 -0.00831815 -0.06159825 0.03334882 0.01451404]\n", "[ 0.00958242 -0.00831945 -0.06159289 0.03334518 0.01451083]\n", "[ 0.00958363 -0.00832075 -0.06158754 0.03334155 0.01450762]\n", "[ 0.00958483 -0.00832205 -0.06158218 0.03333792 0.01450441]\n", "[ 0.00958604 -0.00832336 -0.06157682 0.03333428 0.0145012 ]\n", "[ 0.00958725 -0.00832466 -0.06157146 0.03333065 0.01449799]\n", "[ 0.00958845 -0.00832596 -0.06156611 0.03332702 0.01449478]\n", "[ 0.00958966 -0.00832726 -0.06156075 0.03332339 0.01449157]\n", "[ 0.00959087 -0.00832856 -0.06155539 0.03331976 0.01448836]\n", "[ 0.00959208 -0.00832986 -0.06155004 0.03331613 0.01448515]\n", "[ 0.00959328 -0.00833116 -0.06154468 0.0333125 0.01448195]\n", "[ 0.00959449 -0.00833246 -0.06153933 0.03330887 0.01447874]\n", "[ 0.0095957 -0.00833376 -0.06153397 0.03330525 0.01447553]\n", "[ 0.00959691 -0.00833506 -0.06152862 0.03330162 0.01447233]\n", "[ 0.00959811 -0.00833636 -0.06152327 0.03329799 0.01446912]\n", "[ 0.00959932 -0.00833766 -0.06151792 0.03329437 0.01446592]\n", "[ 0.00960053 -0.00833896 -0.06151256 0.03329074 0.01446271]\n", "[ 0.00960174 -0.00834025 -0.06150721 0.03328712 0.01445951]\n", "[ 0.00960295 -0.00834155 -0.06150186 0.03328349 0.01445631]\n", "[ 0.00960415 -0.00834285 -0.06149651 0.03327987 0.01445311]\n", "[ 0.00960536 -0.00834414 -0.06149116 0.03327625 0.0144499 ]\n", "[ 0.00960657 -0.00834544 -0.06148581 0.03327262 0.0144467 ]\n", "[ 0.00960778 -0.00834674 -0.06148046 0.033269 0.0144435 ]\n", "[ 0.00960899 -0.00834803 -0.06147511 0.03326538 0.0144403 ]\n", "[ 0.0096102 -0.00834933 -0.06146977 0.03326176 0.0144371 ]\n", "[ 0.0096114 -0.00835062 -0.06146442 0.03325814 0.01443391]\n", "[ 0.00961261 -0.00835191 -0.06145907 0.03325452 0.01443071]\n", "[ 0.00961382 -0.00835321 -0.06145372 0.0332509 0.01442751]\n", "[ 0.00961503 -0.0083545 -0.06144838 0.03324728 0.01442431]\n", "[ 0.00961624 -0.00835579 -0.06144303 0.03324367 0.01442112]\n", "[ 0.00961745 -0.00835709 -0.06143769 0.03324005 0.01441792]\n", "[ 0.00961866 -0.00835838 -0.06143234 0.03323643 0.01441472]\n", "[ 0.00961987 -0.00835967 -0.061427 0.03323282 0.01441153]\n", "[ 0.00962107 -0.00836096 -0.06142165 0.0332292 0.01440833]\n", "[ 0.00962228 -0.00836225 -0.06141631 0.03322559 0.01440514]\n", "[ 0.00962349 -0.00836354 -0.06141097 0.03322197 0.01440195]\n", "[ 0.0096247 -0.00836484 -0.06140563 0.03321836 0.01439875]\n", "[ 0.00962591 -0.00836613 -0.06140028 0.03321475 0.01439556]\n", "[ 0.00962712 -0.00836742 -0.06139494 0.03321114 0.01439237]\n", "[ 0.00962833 -0.0083687 -0.0613896 0.03320753 0.01438918]\n", "[ 0.00962954 -0.00836999 -0.06138426 0.03320391 0.01438599]\n", "[ 0.00963075 -0.00837128 -0.06137892 0.0332003 0.0143828 ]\n", "[ 0.00963196 -0.00837257 -0.06137358 0.03319669 0.01437961]\n", "[ 0.00963317 -0.00837386 -0.06136824 0.03319309 0.01437642]\n", "[ 0.00963438 -0.00837515 -0.06136291 0.03318948 0.01437323]\n", "[ 0.00963559 -0.00837643 -0.06135757 0.03318587 0.01437004]\n", "[ 0.00963679 -0.00837772 -0.06135223 0.03318226 0.01436686]\n", "[ 0.009638 -0.00837901 -0.06134689 0.03317865 0.01436367]\n", "[ 0.00963921 -0.00838029 -0.06134156 0.03317505 0.01436048]\n", "[ 0.00964042 -0.00838158 -0.06133622 0.03317144 0.0143573 ]\n", "[ 0.00964163 -0.00838286 -0.06133089 0.03316784 0.01435411]\n", "[ 0.00964284 -0.00838415 -0.06132555 0.03316423 0.01435093]\n", "[ 0.00964405 -0.00838543 -0.06132022 0.03316063 0.01434775]\n", "[ 0.00964526 -0.00838672 -0.06131488 0.03315703 0.01434456]\n", "[ 0.00964647 -0.008388 -0.06130955 0.03315342 0.01434138]\n", "[ 0.00964768 -0.00838928 -0.06130422 0.03314982 0.0143382 ]\n", "[ 0.00964889 -0.00839057 -0.06129888 0.03314622 0.01433501]\n", "[ 0.0096501 -0.00839185 -0.06129355 0.03314262 0.01433183]\n", "[ 0.00965131 -0.00839313 -0.06128822 0.03313902 0.01432865]\n", "[ 0.00965252 -0.00839441 -0.06128289 0.03313542 0.01432547]\n", "[ 0.00965373 -0.0083957 -0.06127756 0.03313182 0.01432229]\n", "[ 0.00965494 -0.00839698 -0.06127223 0.03312822 0.01431911]\n", "[ 0.00965615 -0.00839826 -0.0612669 0.03312462 0.01431594]\n", "[ 0.00965736 -0.00839954 -0.06126157 0.03312102 0.01431276]\n", "[ 0.00965857 -0.00840082 -0.06125624 0.03311743 0.01430958]\n", "[ 0.00965979 -0.0084021 -0.06125091 0.03311383 0.0143064 ]\n", "[ 0.009661 -0.00840338 -0.06124558 0.03311024 0.01430323]\n", "[ 0.00966221 -0.00840466 -0.06124026 0.03310664 0.01430005]\n", "[ 0.00966342 -0.00840594 -0.06123493 0.03310305 0.01429688]\n", "[ 0.00966463 -0.00840722 -0.0612296 0.03309945 0.0142937 ]\n", "[ 0.00966584 -0.00840849 -0.06122428 0.03309586 0.01429053]\n", "[ 0.00966705 -0.00840977 -0.06121895 0.03309227 0.01428735]\n", "[ 0.00966826 -0.00841105 -0.06121363 0.03308867 0.01428418]\n", "[ 0.00966947 -0.00841233 -0.06120831 0.03308508 0.01428101]\n", "[ 0.00967068 -0.0084136 -0.06120298 0.03308149 0.01427784]\n", "[ 0.00967189 -0.00841488 -0.06119766 0.0330779 0.01427466]\n", "[ 0.0096731 -0.00841615 -0.06119234 0.03307431 0.01427149]\n", "[ 0.00967431 -0.00841743 -0.06118701 0.03307072 0.01426832]\n", "[ 0.00967552 -0.00841871 -0.06118169 0.03306713 0.01426515]\n", "[ 0.00967673 -0.00841998 -0.06117637 0.03306354 0.01426198]\n", "[ 0.00967795 -0.00842126 -0.06117105 0.03305996 0.01425881]\n", "[ 0.00967916 -0.00842253 -0.06116573 0.03305637 0.01425565]\n", "[ 0.00968037 -0.0084238 -0.06116041 0.03305278 0.01425248]\n", "[ 0.00968158 -0.00842508 -0.06115509 0.0330492 0.01424931]\n", "[ 0.00968279 -0.00842635 -0.06114977 0.03304561 0.01424615]\n", "[ 0.009684 -0.00842762 -0.06114445 0.03304203 0.01424298]\n", "[ 0.00968521 -0.00842889 -0.06113914 0.03303844 0.01423981]\n", "[ 0.00968642 -0.00843017 -0.06113382 0.03303486 0.01423665]\n", "[ 0.00968763 -0.00843144 -0.0611285 0.03303128 0.01423348]\n", "[ 0.00968885 -0.00843271 -0.06112319 0.03302769 0.01423032]\n", "[ 0.00969006 -0.00843398 -0.06111787 0.03302411 0.01422716]\n", "[ 0.00969127 -0.00843525 -0.06111255 0.03302053 0.01422399]\n", "[ 0.00969248 -0.00843652 -0.06110724 0.03301695 0.01422083]\n", "[ 0.00969369 -0.00843779 -0.06110193 0.03301337 0.01421767]\n", "[ 0.0096949 -0.00843906 -0.06109661 0.03300979 0.01421451]\n", "[ 0.00969611 -0.00844033 -0.0610913 0.03300621 0.01421135]\n", "[ 0.00969732 -0.0084416 -0.06108599 0.03300263 0.01420819]\n", "[ 0.00969854 -0.00844287 -0.06108067 0.03299906 0.01420503]\n", "[ 0.00969975 -0.00844414 -0.06107536 0.03299548 0.01420187]\n", "[ 0.00970096 -0.0084454 -0.06107005 0.0329919 0.01419871]\n", "[ 0.00970217 -0.00844667 -0.06106474 0.03298833 0.01419555]\n", "[ 0.00970338 -0.00844794 -0.06105943 0.03298475 0.01419239]\n", "[ 0.00970459 -0.00844921 -0.06105412 0.03298118 0.01418924]\n", "[ 0.0097058 -0.00845047 -0.06104881 0.0329776 0.01418608]\n", "[ 0.00970702 -0.00845174 -0.0610435 0.03297403 0.01418293]\n", "[ 0.00970823 -0.008453 -0.06103819 0.03297045 0.01417977]\n", "[ 0.00970944 -0.00845427 -0.06103289 0.03296688 0.01417661]\n", "[ 0.00971065 -0.00845553 -0.06102758 0.03296331 0.01417346]\n", "[ 0.00971186 -0.0084568 -0.06102227 0.03295974 0.01417031]\n", "[ 0.00971307 -0.00845806 -0.06101697 0.03295617 0.01416715]\n", "[ 0.00971429 -0.00845933 -0.06101166 0.0329526 0.014164 ]\n", "[ 0.0097155 -0.00846059 -0.06100635 0.03294903 0.01416085]\n", "[ 0.00971671 -0.00846186 -0.06100105 0.03294546 0.0141577 ]\n", "[ 0.00971792 -0.00846312 -0.06099575 0.03294189 0.01415455]\n", "[ 0.00971913 -0.00846438 -0.06099044 0.03293832 0.0141514 ]\n", "[ 0.00972034 -0.00846564 -0.06098514 0.03293475 0.01414824]\n", "[ 0.00972156 -0.00846691 -0.06097984 0.03293118 0.0141451 ]\n", "[ 0.00972277 -0.00846817 -0.06097453 0.03292762 0.01414195]\n", "[ 0.00972398 -0.00846943 -0.06096923 0.03292405 0.0141388 ]\n", "[ 0.00972519 -0.00847069 -0.06096393 0.03292049 0.01413565]\n", "[ 0.0097264 -0.00847195 -0.06095863 0.03291692 0.0141325 ]\n", "[ 0.00972761 -0.00847321 -0.06095333 0.03291336 0.01412936]\n", "[ 0.00972883 -0.00847447 -0.06094803 0.03290979 0.01412621]\n", "[ 0.00973004 -0.00847573 -0.06094273 0.03290623 0.01412306]\n", "[ 0.00973125 -0.00847699 -0.06093743 0.03290267 0.01411992]\n", "[ 0.00973246 -0.00847825 -0.06093213 0.03289911 0.01411677]\n", "[ 0.00973367 -0.00847951 -0.06092683 0.03289555 0.01411363]\n", "[ 0.00973489 -0.00848076 -0.06092154 0.03289198 0.01411048]\n", "[ 0.0097361 -0.00848202 -0.06091624 0.03288842 0.01410734]\n", "[ 0.00973731 -0.00848328 -0.06091094 0.03288486 0.0141042 ]\n", "[ 0.00973852 -0.00848454 -0.06090565 0.03288131 0.01410106]\n", "[ 0.00973973 -0.00848579 -0.06090035 0.03287775 0.01409791]\n", "[ 0.00974094 -0.00848705 -0.06089506 0.03287419 0.01409477]\n", "[ 0.00974216 -0.00848831 -0.06088976 0.03287063 0.01409163]\n", "[ 0.00974337 -0.00848956 -0.06088447 0.03286707 0.01408849]\n", "[ 0.00974458 -0.00849082 -0.06087918 0.03286352 0.01408535]\n", "[ 0.00974579 -0.00849207 -0.06087388 0.03285996 0.01408221]\n", "[ 0.009747 -0.00849333 -0.06086859 0.03285641 0.01407908]\n", "[ 0.00974822 -0.00849458 -0.0608633 0.03285285 0.01407594]\n", "[ 0.00974943 -0.00849584 -0.06085801 0.0328493 0.0140728 ]\n", "[ 0.00975064 -0.00849709 -0.06085272 0.03284574 0.01406966]\n", "[ 0.00975185 -0.00849834 -0.06084743 0.03284219 0.01406653]\n", "[ 0.00975306 -0.0084996 -0.06084214 0.03283864 0.01406339]\n", "[ 0.00975428 -0.00850085 -0.06083685 0.03283509 0.01406026]\n", "[ 0.00975549 -0.0085021 -0.06083156 0.03283154 0.01405712]\n", "[ 0.0097567 -0.00850335 -0.06082627 0.03282799 0.01405399]\n", "[ 0.00975791 -0.00850461 -0.06082098 0.03282444 0.01405085]\n", "[ 0.00975912 -0.00850586 -0.0608157 0.03282089 0.01404772]\n", "[ 0.00976034 -0.00850711 -0.06081041 0.03281734 0.01404459]\n", "[ 0.00976155 -0.00850836 -0.06080512 0.03281379 0.01404145]\n", "[ 0.00976276 -0.00850961 -0.06079984 0.03281024 0.01403832]\n", "[ 0.00976397 -0.00851086 -0.06079455 0.03280669 0.01403519]\n", "[ 0.00976518 -0.00851211 -0.06078927 0.03280315 0.01403206]\n", "[ 0.0097664 -0.00851336 -0.06078398 0.0327996 0.01402893]\n", "[ 0.00976761 -0.00851461 -0.0607787 0.03279605 0.0140258 ]\n", "[ 0.00976882 -0.00851586 -0.06077342 0.03279251 0.01402267]\n", "[ 0.00977003 -0.00851711 -0.06076814 0.03278896 0.01401954]\n", "[ 0.00977124 -0.00851835 -0.06076285 0.03278542 0.01401641]\n", "[ 0.00977246 -0.0085196 -0.06075757 0.03278188 0.01401329]\n", "[ 0.00977367 -0.00852085 -0.06075229 0.03277833 0.01401016]\n", "[ 0.00977488 -0.0085221 -0.06074701 0.03277479 0.01400703]\n", "[ 0.00977609 -0.00852334 -0.06074173 0.03277125 0.01400391]\n", "[ 0.0097773 -0.00852459 -0.06073645 0.03276771 0.01400078]\n", "[ 0.00977851 -0.00852583 -0.06073117 0.03276417 0.01399766]\n", "[ 0.00977973 -0.00852708 -0.06072589 0.03276063 0.01399453]\n", "[ 0.00978094 -0.00852833 -0.06072061 0.03275709 0.01399141]\n", "[ 0.00978215 -0.00852957 -0.06071534 0.03275355 0.01398828]\n", "[ 0.00978336 -0.00853082 -0.06071006 0.03275001 0.01398516]\n", "[ 0.00978457 -0.00853206 -0.06070478 0.03274647 0.01398204]\n", "[ 0.00978579 -0.0085333 -0.06069951 0.03274293 0.01397892]\n", "[ 0.009787 -0.00853455 -0.06069423 0.0327394 0.01397579]\n", "[ 0.00978821 -0.00853579 -0.06068896 0.03273586 0.01397267]\n", "[ 0.00978942 -0.00853703 -0.06068368 0.03273232 0.01396955]\n", "[ 0.00979063 -0.00853828 -0.06067841 0.03272879 0.01396643]\n", "[ 0.00979184 -0.00853952 -0.06067313 0.03272525 0.01396331]\n", "[ 0.00979306 -0.00854076 -0.06066786 0.03272172 0.01396019]\n", "[ 0.00979427 -0.008542 -0.06066259 0.03271819 0.01395708]\n", "[ 0.00979548 -0.00854325 -0.06065732 0.03271465 0.01395396]\n", "[ 0.00979669 -0.00854449 -0.06065205 0.03271112 0.01395084]\n", "[ 0.0097979 -0.00854573 -0.06064677 0.03270759 0.01394772]\n", "[ 0.00979912 -0.00854697 -0.0606415 0.03270406 0.01394461]\n", "[ 0.00980033 -0.00854821 -0.06063623 0.03270053 0.01394149]\n", "[ 0.00980154 -0.00854945 -0.06063096 0.032697 0.01393838]\n", "[ 0.00980275 -0.00855069 -0.0606257 0.03269347 0.01393526]\n", "[ 0.00980396 -0.00855193 -0.06062043 0.03268994 0.01393215]\n", "[ 0.00980517 -0.00855317 -0.06061516 0.03268641 0.01392903]\n", "[ 0.00980639 -0.0085544 -0.06060989 0.03268288 0.01392592]\n", "[ 0.0098076 -0.00855564 -0.06060462 0.03267935 0.01392281]\n", "[ 0.00980881 -0.00855688 -0.06059936 0.03267582 0.0139197 ]\n", "[ 0.00981002 -0.00855812 -0.06059409 0.0326723 0.01391658]\n", "[ 0.00981123 -0.00855935 -0.06058883 0.03266877 0.01391347]\n", "[ 0.00981244 -0.00856059 -0.06058356 0.03266525 0.01391036]\n", "[ 0.00981365 -0.00856183 -0.0605783 0.03266172 0.01390725]\n", "[ 0.00981487 -0.00856306 -0.06057303 0.0326582 0.01390414]\n", "[ 0.00981608 -0.0085643 -0.06056777 0.03265467 0.01390103]\n", "[ 0.00981729 -0.00856554 -0.06056251 0.03265115 0.01389792]\n", "[ 0.0098185 -0.00856677 -0.06055725 0.03264763 0.01389482]\n", "[ 0.00981971 -0.00856801 -0.06055198 0.03264411 0.01389171]\n", "[ 0.00982092 -0.00856924 -0.06054672 0.03264058 0.0138886 ]\n", "[ 0.00982213 -0.00857048 -0.06054146 0.03263706 0.01388549]\n", "[ 0.00982335 -0.00857171 -0.0605362 0.03263354 0.01388239]\n", "[ 0.00982456 -0.00857294 -0.06053094 0.03263002 0.01387928]\n", "[ 0.00982577 -0.00857418 -0.06052568 0.0326265 0.01387618]\n", "[ 0.00982698 -0.00857541 -0.06052042 0.03262298 0.01387307]\n", "[ 0.00982819 -0.00857664 -0.06051517 0.03261947 0.01386997]\n", "[ 0.0098294 -0.00857787 -0.06050991 0.03261595 0.01386686]\n", "[ 0.00983061 -0.00857911 -0.06050465 0.03261243 0.01386376]\n", "[ 0.00983183 -0.00858034 -0.06049939 0.03260891 0.01386066]\n", "[ 0.00983304 -0.00858157 -0.06049414 0.0326054 0.01385756]\n", "[ 0.00983425 -0.0085828 -0.06048888 0.03260188 0.01385445]\n", "[ 0.00983546 -0.00858403 -0.06048363 0.03259837 0.01385135]\n", "[ 0.00983667 -0.00858526 -0.06047837 0.03259485 0.01384825]\n", "[ 0.00983788 -0.00858649 -0.06047312 0.03259134 0.01384515]\n", "[ 0.00983909 -0.00858772 -0.06046786 0.03258782 0.01384205]\n", "[ 0.0098403 -0.00858895 -0.06046261 0.03258431 0.01383895]\n", "[ 0.00984151 -0.00859018 -0.06045736 0.0325808 0.01383586]\n", "[ 0.00984272 -0.00859141 -0.06045211 0.03257729 0.01383276]\n", "[ 0.00984394 -0.00859264 -0.06044686 0.03257377 0.01382966]\n", "[ 0.00984515 -0.00859387 -0.0604416 0.03257026 0.01382656]\n", "[ 0.00984636 -0.00859509 -0.06043635 0.03256675 0.01382347]\n", "[ 0.00984757 -0.00859632 -0.0604311 0.03256324 0.01382037]\n", "[ 0.00984878 -0.00859755 -0.06042585 0.03255973 0.01381727]\n", "[ 0.00984999 -0.00859878 -0.06042061 0.03255623 0.01381418]\n", "[ 0.0098512 -0.0086 -0.06041536 0.03255272 0.01381108]\n", "[ 0.00985241 -0.00860123 -0.06041011 0.03254921 0.01380799]\n", "[ 0.00985362 -0.00860246 -0.06040486 0.0325457 0.0138049 ]\n", "[ 0.00985483 -0.00860368 -0.06039961 0.0325422 0.0138018 ]\n", "[ 0.00985604 -0.00860491 -0.06039437 0.03253869 0.01379871]\n", "[ 0.00985725 -0.00860613 -0.06038912 0.03253518 0.01379562]\n", "[ 0.00985847 -0.00860736 -0.06038388 0.03253168 0.01379253]\n", "[ 0.00985968 -0.00860858 -0.06037863 0.03252817 0.01378944]\n", "[ 0.00986089 -0.0086098 -0.06037339 0.03252467 0.01378634]\n", "[ 0.0098621 -0.00861103 -0.06036814 0.03252117 0.01378325]\n", "[ 0.00986331 -0.00861225 -0.0603629 0.03251766 0.01378016]\n", "[ 0.00986452 -0.00861348 -0.06035766 0.03251416 0.01377708]\n", "[ 0.00986573 -0.0086147 -0.06035242 0.03251066 0.01377399]\n", "[ 0.00986694 -0.00861592 -0.06034717 0.03250716 0.0137709 ]\n", "[ 0.00986815 -0.00861714 -0.06034193 0.03250366 0.01376781]\n", "[ 0.00986936 -0.00861836 -0.06033669 0.03250016 0.01376472]\n", "[ 0.00987057 -0.00861959 -0.06033145 0.03249666 0.01376164]\n", "[ 0.00987178 -0.00862081 -0.06032621 0.03249316 0.01375855]\n", "[ 0.00987299 -0.00862203 -0.06032097 0.03248966 0.01375547]\n", "[ 0.0098742 -0.00862325 -0.06031573 0.03248616 0.01375238]\n", "[ 0.00987541 -0.00862447 -0.0603105 0.03248267 0.0137493 ]\n", "[ 0.00987662 -0.00862569 -0.06030526 0.03247917 0.01374621]\n", "[ 0.00987783 -0.00862691 -0.06030002 0.03247567 0.01374313]\n", "[ 0.00987904 -0.00862813 -0.06029479 0.03247218 0.01374004]\n", "[ 0.00988025 -0.00862935 -0.06028955 0.03246868 0.01373696]\n", "[ 0.00988146 -0.00863057 -0.06028431 0.03246519 0.01373388]\n", "[ 0.00988267 -0.00863178 -0.06027908 0.03246169 0.0137308 ]\n", "[ 0.00988388 -0.008633 -0.06027384 0.0324582 0.01372772]\n", "[ 0.00988509 -0.00863422 -0.06026861 0.0324547 0.01372464]\n", "[ 0.0098863 -0.00863544 -0.06026338 0.03245121 0.01372156]\n", "[ 0.00988751 -0.00863666 -0.06025814 0.03244772 0.01371848]\n", "[ 0.00988872 -0.00863787 -0.06025291 0.03244423 0.0137154 ]\n", "[ 0.00988993 -0.00863909 -0.06024768 0.03244074 0.01371232]\n", "[ 0.00989114 -0.00864031 -0.06024245 0.03243725 0.01370924]\n", "[ 0.00989235 -0.00864152 -0.06023722 0.03243375 0.01370616]\n", "[ 0.00989356 -0.00864274 -0.06023199 0.03243027 0.01370308]\n", "[ 0.00989477 -0.00864395 -0.06022676 0.03242678 0.01370001]\n", "[ 0.00989598 -0.00864517 -0.06022153 0.03242329 0.01369693]\n", "[ 0.00989719 -0.00864638 -0.0602163 0.0324198 0.01369386]\n", "[ 0.00989839 -0.0086476 -0.06021107 0.03241631 0.01369078]\n", "[ 0.0098996 -0.00864881 -0.06020584 0.03241283 0.01368771]\n", "[ 0.00990081 -0.00865002 -0.06020062 0.03240934 0.01368463]\n", "[ 0.00990202 -0.00865124 -0.06019539 0.03240585 0.01368156]\n", "[ 0.00990323 -0.00865245 -0.06019016 0.03240237 0.01367848]\n", "[ 0.00990444 -0.00865366 -0.06018494 0.03239888 0.01367541]\n", "[ 0.00990565 -0.00865488 -0.06017971 0.0323954 0.01367234]\n", "[ 0.00990686 -0.00865609 -0.06017449 0.03239191 0.01366927]\n", "[ 0.00990807 -0.0086573 -0.06016926 0.03238843 0.0136662 ]\n", "[ 0.00990928 -0.00865851 -0.06016404 0.03238495 0.01366312]\n", "[ 0.00991049 -0.00865972 -0.06015882 0.03238147 0.01366005]\n", "[ 0.00991169 -0.00866094 -0.06015359 0.03237798 0.01365698]\n", "[ 0.0099129 -0.00866215 -0.06014837 0.0323745 0.01365391]\n", "[ 0.00991411 -0.00866336 -0.06014315 0.03237102 0.01365085]\n", "[ 0.00991532 -0.00866457 -0.06013793 0.03236754 0.01364778]\n", "[ 0.00991653 -0.00866578 -0.06013271 0.03236406 0.01364471]\n", "[ 0.00991774 -0.00866699 -0.06012749 0.03236058 0.01364164]\n", "[ 0.00991895 -0.0086682 -0.06012227 0.0323571 0.01363857]\n", "[ 0.00992016 -0.0086694 -0.06011705 0.03235363 0.01363551]\n", "[ 0.00992136 -0.00867061 -0.06011183 0.03235015 0.01363244]\n", "[ 0.00992257 -0.00867182 -0.06010661 0.03234667 0.01362938]\n", "[ 0.00992378 -0.00867303 -0.0601014 0.03234319 0.01362631]\n", "[ 0.00992499 -0.00867424 -0.06009618 0.03233972 0.01362325]\n", "[ 0.0099262 -0.00867544 -0.06009096 0.03233624 0.01362018]\n", "[ 0.00992741 -0.00867665 -0.06008575 0.03233277 0.01361712]\n", "[ 0.00992861 -0.00867786 -0.06008053 0.03232929 0.01361406]\n", "[ 0.00992982 -0.00867906 -0.06007532 0.03232582 0.01361099]\n", "[ 0.00993103 -0.00868027 -0.0600701 0.03232235 0.01360793]\n", "[ 0.00993224 -0.00868148 -0.06006489 0.03231887 0.01360487]\n", "[ 0.00993345 -0.00868268 -0.06005968 0.0323154 0.01360181]\n", "[ 0.00993465 -0.00868389 -0.06005446 0.03231193 0.01359875]\n", "[ 0.00993586 -0.00868509 -0.06004925 0.03230846 0.01359569]\n", "[ 0.00993707 -0.0086863 -0.06004404 0.03230499 0.01359263]\n", "[ 0.00993828 -0.0086875 -0.06003883 0.03230152 0.01358957]\n", "[ 0.00993948 -0.00868871 -0.06003362 0.03229805 0.01358651]\n", "[ 0.00994069 -0.00868991 -0.06002841 0.03229458 0.01358345]\n", "[ 0.0099419 -0.00869111 -0.0600232 0.03229111 0.01358039]\n", "[ 0.00994311 -0.00869232 -0.06001799 0.03228764 0.01357734]\n", "[ 0.00994431 -0.00869352 -0.06001278 0.03228417 0.01357428]\n", "[ 0.00994552 -0.00869472 -0.06000757 0.03228071 0.01357122]\n", "[ 0.00994673 -0.00869592 -0.06000237 0.03227724 0.01356817]\n", "[ 0.00994794 -0.00869713 -0.05999716 0.03227377 0.01356511]\n", "[ 0.00994914 -0.00869833 -0.05999195 0.03227031 0.01356206]\n", "[ 0.00995035 -0.00869953 -0.05998675 0.03226684 0.013559 ]\n", "[ 0.00995156 -0.00870073 -0.05998154 0.03226338 0.01355595]\n", "[ 0.00995277 -0.00870193 -0.05997634 0.03225991 0.0135529 ]\n", "[ 0.00995397 -0.00870313 -0.05997113 0.03225645 0.01354984]\n", "[ 0.00995518 -0.00870433 -0.05996593 0.03225299 0.01354679]\n", "[ 0.00995639 -0.00870553 -0.05996072 0.03224952 0.01354374]\n", "[ 0.00995759 -0.00870673 -0.05995552 0.03224606 0.01354069]\n", "[ 0.0099588 -0.00870793 -0.05995032 0.0322426 0.01353764]\n", "[ 0.00996001 -0.00870913 -0.05994512 0.03223914 0.01353458]\n", "[ 0.00996121 -0.00871033 -0.05993992 0.03223568 0.01353153]\n", "[ 0.00996242 -0.00871153 -0.05993472 0.03223222 0.01352849]\n", "[ 0.00996363 -0.00871272 -0.05992952 0.03222876 0.01352544]\n", "[ 0.00996483 -0.00871392 -0.05992432 0.0322253 0.01352239]\n", "[ 0.00996604 -0.00871512 -0.05991912 0.03222184 0.01351934]\n", "[ 0.00996725 -0.00871632 -0.05991392 0.03221838 0.01351629]\n", "[ 0.00996845 -0.00871751 -0.05990872 0.03221493 0.01351324]\n", "[ 0.00996966 -0.00871871 -0.05990352 0.03221147 0.0135102 ]\n", "[ 0.00997086 -0.00871991 -0.05989833 0.03220801 0.01350715]\n", "[ 0.00997207 -0.0087211 -0.05989313 0.03220456 0.01350411]\n", "[ 0.00997328 -0.0087223 -0.05988793 0.0322011 0.01350106]\n", "[ 0.00997448 -0.00872349 -0.05988274 0.03219765 0.01349802]\n", "[ 0.00997569 -0.00872469 -0.05987754 0.03219419 0.01349497]\n", "[ 0.00997689 -0.00872588 -0.05987235 0.03219074 0.01349193]\n", "[ 0.0099781 -0.00872708 -0.05986715 0.03218729 0.01348888]\n", "[ 0.00997931 -0.00872827 -0.05986196 0.03218383 0.01348584]\n", "[ 0.00998051 -0.00872947 -0.05985677 0.03218038 0.0134828 ]\n", "[ 0.00998172 -0.00873066 -0.05985158 0.03217693 0.01347976]\n", "[ 0.00998292 -0.00873185 -0.05984638 0.03217348 0.01347671]\n", "[ 0.00998413 -0.00873305 -0.05984119 0.03217003 0.01347367]\n", "[ 0.00998533 -0.00873424 -0.059836 0.03216658 0.01347063]\n", "[ 0.00998654 -0.00873543 -0.05983081 0.03216313 0.01346759]\n", "[ 0.00998774 -0.00873662 -0.05982562 0.03215968 0.01346455]\n", "[ 0.00998895 -0.00873782 -0.05982043 0.03215623 0.01346151]\n", "[ 0.00999015 -0.00873901 -0.05981524 0.03215278 0.01345848]\n", "[ 0.00999136 -0.0087402 -0.05981006 0.03214933 0.01345544]\n", "[ 0.00999256 -0.00874139 -0.05980487 0.03214588 0.0134524 ]\n", "[ 0.00999377 -0.00874258 -0.05979968 0.03214244 0.01344936]\n", "[ 0.00999497 -0.00874377 -0.0597945 0.03213899 0.01344633]\n", "[ 0.00999618 -0.00874496 -0.05978931 0.03213555 0.01344329]\n", "[ 0.00999738 -0.00874615 -0.05978412 0.0321321 0.01344025]\n", "[ 0.00999859 -0.00874734 -0.05977894 0.03212866 0.01343722]\n", "[ 0.00999979 -0.00874853 -0.05977376 0.03212521 0.01343418]\n", "[ 0.010001 -0.00874972 -0.05976857 0.03212177 0.01343115]\n", "[ 0.0100022 -0.00875091 -0.05976339 0.03211832 0.01342812]\n", "[ 0.01000341 -0.0087521 -0.0597582 0.03211488 0.01342508]\n", "[ 0.01000461 -0.00875328 -0.05975302 0.03211144 0.01342205]\n", "[ 0.01000581 -0.00875447 -0.05974784 0.032108 0.01341902]\n", "[ 0.01000702 -0.00875566 -0.05974266 0.03210456 0.01341598]\n", "[ 0.01000822 -0.00875685 -0.05973748 0.03210112 0.01341295]\n", "[ 0.01000943 -0.00875803 -0.0597323 0.03209768 0.01340992]\n", "[ 0.01001063 -0.00875922 -0.05972712 0.03209424 0.01340689]\n", "[ 0.01001183 -0.00876041 -0.05972194 0.0320908 0.01340386]\n", "[ 0.01001304 -0.00876159 -0.05971676 0.03208736 0.01340083]\n", "[ 0.01001424 -0.00876278 -0.05971158 0.03208392 0.0133978 ]\n", "[ 0.01001545 -0.00876396 -0.05970641 0.03208048 0.01339477]\n", "[ 0.01001665 -0.00876515 -0.05970123 0.03207705 0.01339174]\n", "[ 0.01001785 -0.00876633 -0.05969605 0.03207361 0.01338872]\n", "[ 0.01001906 -0.00876752 -0.05969088 0.03207017 0.01338569]\n", "[ 0.01002026 -0.0087687 -0.0596857 0.03206674 0.01338266]\n", "[ 0.01002146 -0.00876989 -0.05968053 0.0320633 0.01337964]\n", "[ 0.01002267 -0.00877107 -0.05967535 0.03205987 0.01337661]\n", "[ 0.01002387 -0.00877225 -0.05967018 0.03205643 0.01337359]\n", "[ 0.01002507 -0.00877344 -0.059665 0.032053 0.01337056]\n", "[ 0.01002628 -0.00877462 -0.05965983 0.03204957 0.01336754]\n", "[ 0.01002748 -0.0087758 -0.05965466 0.03204613 0.01336451]\n", "[ 0.01002868 -0.00877699 -0.05964949 0.0320427 0.01336149]\n", "[ 0.01002988 -0.00877817 -0.05964432 0.03203927 0.01335846]\n", "[ 0.01003109 -0.00877935 -0.05963915 0.03203584 0.01335544]\n", "[ 0.01003229 -0.00878053 -0.05963398 0.03203241 0.01335242]\n", "[ 0.01003349 -0.00878171 -0.05962881 0.03202898 0.0133494 ]\n", "[ 0.01003469 -0.00878289 -0.05962364 0.03202555 0.01334638]\n", "[ 0.0100359 -0.00878407 -0.05961847 0.03202212 0.01334336]\n", "[ 0.0100371 -0.00878525 -0.0596133 0.03201869 0.01334034]\n", "[ 0.0100383 -0.00878643 -0.05960813 0.03201526 0.01333732]\n", "[ 0.0100395 -0.00878761 -0.05960297 0.03201184 0.0133343 ]\n", "[ 0.01004071 -0.00878879 -0.0595978 0.03200841 0.01333128]\n", "[ 0.01004191 -0.00878997 -0.05959263 0.03200498 0.01332826]\n", "[ 0.01004311 -0.00879115 -0.05958747 0.03200156 0.01332524]\n", "[ 0.01004431 -0.00879233 -0.0595823 0.03199813 0.01332222]\n", "[ 0.01004551 -0.00879351 -0.05957714 0.0319947 0.01331921]\n", "[ 0.01004671 -0.00879469 -0.05957197 0.03199128 0.01331619]\n", "[ 0.01004792 -0.00879586 -0.05956681 0.03198786 0.01331317]\n", "[ 0.01004912 -0.00879704 -0.05956165 0.03198443 0.01331016]\n", "[ 0.01005032 -0.00879822 -0.05955649 0.03198101 0.01330714]\n", "[ 0.01005152 -0.00879939 -0.05955132 0.03197759 0.01330413]\n", "[ 0.01005272 -0.00880057 -0.05954616 0.03197416 0.01330111]\n", "[ 0.01005392 -0.00880175 -0.059541 0.03197074 0.0132981 ]\n", "[ 0.01005512 -0.00880292 -0.05953584 0.03196732 0.01329509]\n", "[ 0.01005633 -0.0088041 -0.05953068 0.0319639 0.01329207]\n", "[ 0.01005753 -0.00880527 -0.05952552 0.03196048 0.01328906]\n", "[ 0.01005873 -0.00880645 -0.05952037 0.03195706 0.01328605]\n", "[ 0.01005993 -0.00880763 -0.05951521 0.03195364 0.01328304]\n", "[ 0.01006113 -0.0088088 -0.05951005 0.03195022 0.01328003]\n", "[ 0.01006233 -0.00880997 -0.05950489 0.0319468 0.01327702]\n", "[ 0.01006353 -0.00881115 -0.05949974 0.03194339 0.01327401]\n", "[ 0.01006473 -0.00881232 -0.05949458 0.03193997 0.013271 ]\n", "[ 0.01006593 -0.0088135 -0.05948943 0.03193655 0.01326799]\n", "[ 0.01006713 -0.00881467 -0.05948427 0.03193314 0.01326498]\n", "[ 0.01006833 -0.00881584 -0.05947912 0.03192972 0.01326197]\n", "[ 0.01006953 -0.00881701 -0.05947396 0.03192631 0.01325896]\n", "[ 0.01007073 -0.00881819 -0.05946881 0.03192289 0.01325596]\n", "[ 0.01007193 -0.00881936 -0.05946366 0.03191948 0.01325295]\n", "[ 0.01007313 -0.00882053 -0.0594585 0.03191606 0.01324994]\n", "[ 0.01007433 -0.0088217 -0.05945335 0.03191265 0.01324694]\n", "[ 0.01007553 -0.00882287 -0.0594482 0.03190924 0.01324393]\n", "[ 0.01007673 -0.00882404 -0.05944305 0.03190582 0.01324093]\n", "[ 0.01007793 -0.00882521 -0.0594379 0.03190241 0.01323792]\n", "[ 0.01007913 -0.00882639 -0.05943275 0.031899 0.01323492]\n", "[ 0.01008033 -0.00882756 -0.0594276 0.03189559 0.01323191]\n", "[ 0.01008153 -0.00882873 -0.05942245 0.03189218 0.01322891]\n", "[ 0.01008273 -0.00882989 -0.05941731 0.03188877 0.01322591]\n", "[ 0.01008393 -0.00883106 -0.05941216 0.03188536 0.01322291]\n", "[ 0.01008512 -0.00883223 -0.05940701 0.03188195 0.01321991]\n", "[ 0.01008632 -0.0088334 -0.05940187 0.03187854 0.0132169 ]\n", "[ 0.01008752 -0.00883457 -0.05939672 0.03187514 0.0132139 ]\n", "[ 0.01008872 -0.00883574 -0.05939157 0.03187173 0.0132109 ]\n", "[ 0.01008992 -0.00883691 -0.05938643 0.03186832 0.0132079 ]\n", "[ 0.01009112 -0.00883807 -0.05938129 0.03186492 0.0132049 ]\n", "[ 0.01009232 -0.00883924 -0.05937614 0.03186151 0.0132019 ]\n", "[ 0.01009352 -0.00884041 -0.059371 0.03185811 0.01319891]\n", "[ 0.01009471 -0.00884158 -0.05936586 0.0318547 0.01319591]\n", "[ 0.01009591 -0.00884274 -0.05936071 0.0318513 0.01319291]\n", "[ 0.01009711 -0.00884391 -0.05935557 0.03184789 0.01318991]\n", "[ 0.01009831 -0.00884507 -0.05935043 0.03184449 0.01318692]\n", "[ 0.01009951 -0.00884624 -0.05934529 0.03184109 0.01318392]\n", "[ 0.0101007 -0.0088474 -0.05934015 0.03183768 0.01318092]\n", "[ 0.0101019 -0.00884857 -0.05933501 0.03183428 0.01317793]\n", "[ 0.0101031 -0.00884973 -0.05932987 0.03183088 0.01317493]\n", "[ 0.0101043 -0.0088509 -0.05932473 0.03182748 0.01317194]\n", "[ 0.01010549 -0.00885206 -0.0593196 0.03182408 0.01316895]\n", "[ 0.01010669 -0.00885323 -0.05931446 0.03182068 0.01316595]\n", "[ 0.01010789 -0.00885439 -0.05930932 0.03181728 0.01316296]\n", "[ 0.01010909 -0.00885555 -0.05930419 0.03181388 0.01315997]\n", "[ 0.01011028 -0.00885672 -0.05929905 0.03181048 0.01315697]\n", "[ 0.01011148 -0.00885788 -0.05929391 0.03180708 0.01315398]\n", "[ 0.01011268 -0.00885904 -0.05928878 0.03180369 0.01315099]\n", "[ 0.01011387 -0.00886021 -0.05928365 0.03180029 0.013148 ]\n", "[ 0.01011507 -0.00886137 -0.05927851 0.03179689 0.01314501]\n", "[ 0.01011627 -0.00886253 -0.05927338 0.0317935 0.01314202]\n", "[ 0.01011746 -0.00886369 -0.05926825 0.0317901 0.01313903]\n", "[ 0.01011866 -0.00886485 -0.05926311 0.03178671 0.01313604]\n", "[ 0.01011986 -0.00886601 -0.05925798 0.03178331 0.01313305]\n", "[ 0.01012105 -0.00886717 -0.05925285 0.03177992 0.01313006]\n", "[ 0.01012225 -0.00886833 -0.05924772 0.03177652 0.01312708]\n", "[ 0.01012344 -0.00886949 -0.05924259 0.03177313 0.01312409]\n", "[ 0.01012464 -0.00887065 -0.05923746 0.03176974 0.0131211 ]\n", "[ 0.01012584 -0.00887181 -0.05923233 0.03176634 0.01311812]\n", "[ 0.01012703 -0.00887297 -0.05922721 0.03176295 0.01311513]\n", "[ 0.01012823 -0.00887413 -0.05922208 0.03175956 0.01311215]\n", "[ 0.01012942 -0.00887529 -0.05921695 0.03175617 0.01310916]\n", "[ 0.01013062 -0.00887645 -0.05921182 0.03175278 0.01310618]\n", "[ 0.01013181 -0.00887761 -0.0592067 0.03174939 0.01310319]\n", "[ 0.01013301 -0.00887877 -0.05920157 0.031746 0.01310021]\n", "[ 0.01013421 -0.00887992 -0.05919645 0.03174261 0.01309723]\n", "[ 0.0101354 -0.00888108 -0.05919132 0.03173922 0.01309424]\n", "[ 0.0101366 -0.00888224 -0.0591862 0.03173584 0.01309126]\n", "[ 0.01013779 -0.0088834 -0.05918108 0.03173245 0.01308828]\n", "[ 0.01013899 -0.00888455 -0.05917595 0.03172906 0.0130853 ]\n", "[ 0.01014018 -0.00888571 -0.05917083 0.03172568 0.01308232]\n", "[ 0.01014137 -0.00888686 -0.05916571 0.03172229 0.01307934]\n", "[ 0.01014257 -0.00888802 -0.05916059 0.0317189 0.01307636]\n", "[ 0.01014376 -0.00888918 -0.05915547 0.03171552 0.01307338]\n", "[ 0.01014496 -0.00889033 -0.05915035 0.03171214 0.0130704 ]\n", "[ 0.01014615 -0.00889149 -0.05914523 0.03170875 0.01306742]\n", "[ 0.01014735 -0.00889264 -0.05914011 0.03170537 0.01306444]\n", "[ 0.01014854 -0.0088938 -0.05913499 0.03170199 0.01306146]\n", "[ 0.01014973 -0.00889495 -0.05912987 0.0316986 0.01305849]\n", "[ 0.01015093 -0.0088961 -0.05912475 0.03169522 0.01305551]\n", "[ 0.01015212 -0.00889726 -0.05911963 0.03169184 0.01305253]\n", "[ 0.01015332 -0.00889841 -0.05911452 0.03168846 0.01304956]\n", "[ 0.01015451 -0.00889956 -0.0591094 0.03168508 0.01304658]\n", "[ 0.0101557 -0.00890072 -0.05910429 0.0316817 0.01304361]\n", "[ 0.0101569 -0.00890187 -0.05909917 0.03167832 0.01304063]\n", "[ 0.01015809 -0.00890302 -0.05909406 0.03167494 0.01303766]\n", "[ 0.01015928 -0.00890417 -0.05908894 0.03167156 0.01303469]\n", "[ 0.01016047 -0.00890532 -0.05908383 0.03166818 0.01303171]\n", "[ 0.01016167 -0.00890648 -0.05907872 0.0316648 0.01302874]\n", "[ 0.01016286 -0.00890763 -0.05907361 0.03166143 0.01302577]\n", "[ 0.01016405 -0.00890878 -0.05906849 0.03165805 0.0130228 ]\n", "[ 0.01016525 -0.00890993 -0.05906338 0.03165467 0.01301982]\n", "[ 0.01016644 -0.00891108 -0.05905827 0.0316513 0.01301685]\n", "[ 0.01016763 -0.00891223 -0.05905316 0.03164792 0.01301388]\n", "[ 0.01016882 -0.00891338 -0.05904805 0.03164455 0.01301091]\n", "[ 0.01017002 -0.00891453 -0.05904294 0.03164117 0.01300794]\n", "[ 0.01017121 -0.00891568 -0.05903783 0.0316378 0.01300497]\n", "[ 0.0101724 -0.00891683 -0.05903273 0.03163443 0.01300201]\n", "[ 0.01017359 -0.00891798 -0.05902762 0.03163105 0.01299904]\n", "[ 0.01017478 -0.00891912 -0.05902251 0.03162768 0.01299607]\n", "[ 0.01017597 -0.00892027 -0.05901741 0.03162431 0.0129931 ]\n", "[ 0.01017717 -0.00892142 -0.0590123 0.03162094 0.01299014]\n", "[ 0.01017836 -0.00892257 -0.05900719 0.03161757 0.01298717]\n", "[ 0.01017955 -0.00892372 -0.05900209 0.0316142 0.0129842 ]\n", "[ 0.01018074 -0.00892486 -0.05899698 0.03161083 0.01298124]\n", "[ 0.01018193 -0.00892601 -0.05899188 0.03160746 0.01297827]\n", "[ 0.01018312 -0.00892716 -0.05898678 0.03160409 0.01297531]\n", "[ 0.01018431 -0.0089283 -0.05898168 0.03160072 0.01297234]\n", "[ 0.0101855 -0.00892945 -0.05897657 0.03159735 0.01296938]\n", "[ 0.0101867 -0.0089306 -0.05897147 0.03159398 0.01296642]\n", "[ 0.01018789 -0.00893174 -0.05896637 0.03159061 0.01296345]\n", "[ 0.01018908 -0.00893289 -0.05896127 0.03158725 0.01296049]\n", "[ 0.01019027 -0.00893403 -0.05895617 0.03158388 0.01295753]\n", "[ 0.01019146 -0.00893518 -0.05895107 0.03158052 0.01295457]\n", "[ 0.01019265 -0.00893632 -0.05894597 0.03157715 0.01295161]\n", "[ 0.01019384 -0.00893747 -0.05894087 0.03157379 0.01294865]\n", "[ 0.01019503 -0.00893861 -0.05893578 0.03157042 0.01294569]\n", "[ 0.01019622 -0.00893975 -0.05893068 0.03156706 0.01294273]\n", "[ 0.01019741 -0.0089409 -0.05892558 0.03156369 0.01293977]\n", "[ 0.0101986 -0.00894204 -0.05892048 0.03156033 0.01293681]\n", "[ 0.01019979 -0.00894318 -0.05891539 0.03155697 0.01293385]\n", "[ 0.01020098 -0.00894433 -0.05891029 0.03155361 0.01293089]\n", "[ 0.01020216 -0.00894547 -0.0589052 0.03155025 0.01292793]\n", "[ 0.01020335 -0.00894661 -0.05890011 0.03154688 0.01292498]\n", "[ 0.01020454 -0.00894775 -0.05889501 0.03154352 0.01292202]\n", "[ 0.01020573 -0.00894889 -0.05888992 0.03154016 0.01291906]\n", "[ 0.01020692 -0.00895003 -0.05888483 0.0315368 0.01291611]\n", "[ 0.01020811 -0.00895118 -0.05887973 0.03153344 0.01291315]\n", "[ 0.0102093 -0.00895232 -0.05887464 0.03153009 0.0129102 ]\n", "[ 0.01021049 -0.00895346 -0.05886955 0.03152673 0.01290724]\n", "[ 0.01021168 -0.0089546 -0.05886446 0.03152337 0.01290429]\n", "[ 0.01021286 -0.00895574 -0.05885937 0.03152001 0.01290134]\n", "[ 0.01021405 -0.00895688 -0.05885428 0.03151666 0.01289838]\n", "[ 0.01021524 -0.00895802 -0.05884919 0.0315133 0.01289543]\n", "[ 0.01021643 -0.00895916 -0.05884411 0.03150994 0.01289248]\n", "[ 0.01021762 -0.00896029 -0.05883902 0.03150659 0.01288953]\n", "[ 0.0102188 -0.00896143 -0.05883393 0.03150323 0.01288657]\n", "[ 0.01021999 -0.00896257 -0.05882884 0.03149988 0.01288362]\n", "[ 0.01022118 -0.00896371 -0.05882376 0.03149653 0.01288067]\n", "[ 0.01022237 -0.00896485 -0.05881867 0.03149317 0.01287772]\n", "[ 0.01022355 -0.00896599 -0.05881359 0.03148982 0.01287477]\n", "[ 0.01022474 -0.00896712 -0.0588085 0.03148647 0.01287182]\n", "[ 0.01022593 -0.00896826 -0.05880342 0.03148311 0.01286887]\n", "[ 0.01022712 -0.0089694 -0.05879834 0.03147976 0.01286593]\n", "[ 0.0102283 -0.00897053 -0.05879325 0.03147641 0.01286298]\n", "[ 0.01022949 -0.00897167 -0.05878817 0.03147306 0.01286003]\n", "[ 0.01023068 -0.00897281 -0.05878309 0.03146971 0.01285708]\n", "[ 0.01023186 -0.00897394 -0.05877801 0.03146636 0.01285414]\n", "[ 0.01023305 -0.00897508 -0.05877293 0.03146301 0.01285119]\n", "[ 0.01023423 -0.00897621 -0.05876785 0.03145966 0.01284825]\n", "[ 0.01023542 -0.00897735 -0.05876277 0.03145631 0.0128453 ]\n", "[ 0.01023661 -0.00897848 -0.05875769 0.03145297 0.01284236]\n", "[ 0.01023779 -0.00897962 -0.05875261 0.03144962 0.01283941]\n", "[ 0.01023898 -0.00898075 -0.05874753 0.03144627 0.01283647]\n", "[ 0.01024016 -0.00898189 -0.05874245 0.03144293 0.01283352]\n", "[ 0.01024135 -0.00898302 -0.05873738 0.03143958 0.01283058]\n", "[ 0.01024254 -0.00898415 -0.0587323 0.03143623 0.01282764]\n", "[ 0.01024372 -0.00898529 -0.05872722 0.03143289 0.0128247 ]\n", "[ 0.01024491 -0.00898642 -0.05872215 0.03142955 0.01282175]\n", "[ 0.01024609 -0.00898755 -0.05871707 0.0314262 0.01281881]\n", "[ 0.01024728 -0.00898868 -0.058712 0.03142286 0.01281587]\n", "[ 0.01024846 -0.00898982 -0.05870693 0.03141951 0.01281293]\n", "[ 0.01024965 -0.00899095 -0.05870185 0.03141617 0.01280999]\n", "[ 0.01025083 -0.00899208 -0.05869678 0.03141283 0.01280705]\n", "[ 0.01025202 -0.00899321 -0.05869171 0.03140949 0.01280411]\n", "[ 0.0102532 -0.00899434 -0.05868664 0.03140615 0.01280118]\n", "[ 0.01025438 -0.00899547 -0.05868156 0.03140281 0.01279824]\n", "[ 0.01025557 -0.0089966 -0.05867649 0.03139947 0.0127953 ]\n", "[ 0.01025675 -0.00899774 -0.05867142 0.03139613 0.01279236]\n", "[ 0.01025794 -0.00899887 -0.05866635 0.03139279 0.01278942]\n", "[ 0.01025912 -0.009 -0.05866129 0.03138945 0.01278649]\n", "[ 0.0102603 -0.00900113 -0.05865622 0.03138611 0.01278355]\n", "[ 0.01026149 -0.00900225 -0.05865115 0.03138277 0.01278062]\n", "[ 0.01026267 -0.00900338 -0.05864608 0.03137943 0.01277768]\n", "[ 0.01026386 -0.00900451 -0.05864102 0.0313761 0.01277475]\n", "[ 0.01026504 -0.00900564 -0.05863595 0.03137276 0.01277181]\n", "[ 0.01026622 -0.00900677 -0.05863088 0.03136942 0.01276888]\n", "[ 0.0102674 -0.0090079 -0.05862582 0.03136609 0.01276595]\n", "[ 0.01026859 -0.00900903 -0.05862075 0.03136275 0.01276301]\n", "[ 0.01026977 -0.00901015 -0.05861569 0.03135942 0.01276008]\n", "[ 0.01027095 -0.00901128 -0.05861063 0.03135608 0.01275715]\n", "[ 0.01027214 -0.00901241 -0.05860556 0.03135275 0.01275422]\n", "[ 0.01027332 -0.00901353 -0.0586005 0.03134942 0.01275128]\n", "[ 0.0102745 -0.00901466 -0.05859544 0.03134608 0.01274835]\n", "[ 0.01027568 -0.00901579 -0.05859038 0.03134275 0.01274542]\n", "[ 0.01027686 -0.00901691 -0.05858532 0.03133942 0.01274249]\n", "[ 0.01027805 -0.00901804 -0.05858026 0.03133609 0.01273956]\n", "[ 0.01027923 -0.00901916 -0.0585752 0.03133276 0.01273664]\n", "[ 0.01028041 -0.00902029 -0.05857014 0.03132943 0.01273371]\n", "[ 0.01028159 -0.00902141 -0.05856508 0.0313261 0.01273078]\n", "[ 0.01028277 -0.00902254 -0.05856002 0.03132277 0.01272785]\n", "[ 0.01028396 -0.00902366 -0.05855496 0.03131944 0.01272492]\n", "[ 0.01028514 -0.00902479 -0.0585499 0.03131611 0.012722 ]\n", "[ 0.01028632 -0.00902591 -0.05854485 0.03131278 0.01271907]\n", "[ 0.0102875 -0.00902704 -0.05853979 0.03130945 0.01271614]\n", "[ 0.01028868 -0.00902816 -0.05853474 0.03130612 0.01271322]\n", "[ 0.01028986 -0.00902928 -0.05852968 0.0313028 0.01271029]\n", "[ 0.01029104 -0.00903041 -0.05852463 0.03129947 0.01270737]\n", "[ 0.01029222 -0.00903153 -0.05851957 0.03129615 0.01270444]\n", "[ 0.0102934 -0.00903265 -0.05851452 0.03129282 0.01270152]\n", "[ 0.01029458 -0.00903377 -0.05850947 0.03128949 0.0126986 ]\n", "[ 0.01029576 -0.0090349 -0.05850441 0.03128617 0.01269567]\n", "[ 0.01029694 -0.00903602 -0.05849936 0.03128285 0.01269275]\n", "[ 0.01029812 -0.00903714 -0.05849431 0.03127952 0.01268983]\n", "[ 0.0102993 -0.00903826 -0.05848926 0.0312762 0.01268691]\n", "[ 0.01030048 -0.00903938 -0.05848421 0.03127288 0.01268399]\n", "[ 0.01030166 -0.0090405 -0.05847916 0.03126955 0.01268106]\n", "[ 0.01030284 -0.00904162 -0.05847411 0.03126623 0.01267814]\n", "[ 0.01030402 -0.00904274 -0.05846906 0.03126291 0.01267522]\n", "[ 0.0103052 -0.00904386 -0.05846402 0.03125959 0.0126723 ]\n", "[ 0.01030638 -0.00904498 -0.05845897 0.03125627 0.01266939]\n", "[ 0.01030756 -0.0090461 -0.05845392 0.03125295 0.01266647]\n", "[ 0.01030874 -0.00904722 -0.05844887 0.03124963 0.01266355]\n", "[ 0.01030991 -0.00904834 -0.05844383 0.03124631 0.01266063]\n", "[ 0.01031109 -0.00904946 -0.05843878 0.03124299 0.01265771]\n", "[ 0.01031227 -0.00905058 -0.05843374 0.03123967 0.0126548 ]\n", "[ 0.01031345 -0.00905169 -0.05842869 0.03123636 0.01265188]\n", "[ 0.01031463 -0.00905281 -0.05842365 0.03123304 0.01264896]\n", "[ 0.01031581 -0.00905393 -0.05841861 0.03122972 0.01264605]\n", "[ 0.01031698 -0.00905505 -0.05841357 0.03122641 0.01264313]\n", "[ 0.01031816 -0.00905616 -0.05840852 0.03122309 0.01264022]\n", "[ 0.01031934 -0.00905728 -0.05840348 0.03121978 0.0126373 ]\n", "[ 0.01032052 -0.0090584 -0.05839844 0.03121646 0.01263439]\n", "[ 0.01032169 -0.00905951 -0.0583934 0.03121315 0.01263148]\n", "[ 0.01032287 -0.00906063 -0.05838836 0.03120983 0.01262856]\n", "[ 0.01032405 -0.00906175 -0.05838332 0.03120652 0.01262565]\n", "[ 0.01032523 -0.00906286 -0.05837828 0.03120321 0.01262274]\n", "[ 0.0103264 -0.00906398 -0.05837324 0.03119989 0.01261983]\n", "[ 0.01032758 -0.00906509 -0.05836821 0.03119658 0.01261691]\n", "[ 0.01032876 -0.00906621 -0.05836317 0.03119327 0.012614 ]\n", "[ 0.01032993 -0.00906732 -0.05835813 0.03118996 0.01261109]\n", "[ 0.01033111 -0.00906844 -0.0583531 0.03118665 0.01260818]\n", "[ 0.01033229 -0.00906955 -0.05834806 0.03118334 0.01260527]\n", "[ 0.01033346 -0.00907067 -0.05834302 0.03118003 0.01260236]\n", "[ 0.01033464 -0.00907178 -0.05833799 0.03117672 0.01259945]\n", "[ 0.01033581 -0.00907289 -0.05833296 0.03117341 0.01259655]\n", "[ 0.01033699 -0.00907401 -0.05832792 0.0311701 0.01259364]\n", "[ 0.01033816 -0.00907512 -0.05832289 0.03116679 0.01259073]\n", "[ 0.01033934 -0.00907623 -0.05831786 0.03116348 0.01258782]\n", "[ 0.01034052 -0.00907734 -0.05831283 0.03116018 0.01258492]\n", "[ 0.01034169 -0.00907846 -0.05830779 0.03115687 0.01258201]\n", "[ 0.01034287 -0.00907957 -0.05830276 0.03115356 0.0125791 ]\n", "[ 0.01034404 -0.00908068 -0.05829773 0.03115026 0.0125762 ]\n", "[ 0.01034522 -0.00908179 -0.0582927 0.03114695 0.01257329]\n", "[ 0.01034639 -0.0090829 -0.05828767 0.03114365 0.01257039]\n", "[ 0.01034757 -0.00908401 -0.05828265 0.03114034 0.01256749]\n", "[ 0.01034874 -0.00908512 -0.05827762 0.03113704 0.01256458]\n", "[ 0.01034991 -0.00908623 -0.05827259 0.03113374 0.01256168]\n", "[ 0.01035109 -0.00908734 -0.05826756 0.03113043 0.01255878]\n", "[ 0.01035226 -0.00908845 -0.05826254 0.03112713 0.01255587]\n", "[ 0.01035344 -0.00908956 -0.05825751 0.03112383 0.01255297]\n", "[ 0.01035461 -0.00909067 -0.05825248 0.03112053 0.01255007]\n", "[ 0.01035578 -0.00909178 -0.05824746 0.03111723 0.01254717]\n", "[ 0.01035696 -0.00909289 -0.05824244 0.03111392 0.01254427]\n", "[ 0.01035813 -0.009094 -0.05823741 0.03111062 0.01254137]\n", "[ 0.0103593 -0.00909511 -0.05823239 0.03110732 0.01253847]\n", "[ 0.01036048 -0.00909622 -0.05822737 0.03110403 0.01253557]\n", "[ 0.01036165 -0.00909733 -0.05822234 0.03110073 0.01253267]\n", "[ 0.01036282 -0.00909843 -0.05821732 0.03109743 0.01252977]\n", "[ 0.010364 -0.00909954 -0.0582123 0.03109413 0.01252687]\n", "[ 0.01036517 -0.00910065 -0.05820728 0.03109083 0.01252397]\n", "[ 0.01036634 -0.00910175 -0.05820226 0.03108753 0.01252108]\n", "[ 0.01036751 -0.00910286 -0.05819724 0.03108424 0.01251818]\n", "[ 0.01036869 -0.00910397 -0.05819222 0.03108094 0.01251528]\n", "[ 0.01036986 -0.00910507 -0.0581872 0.03107765 0.01251239]\n", "[ 0.01037103 -0.00910618 -0.05818219 0.03107435 0.01250949]\n", "[ 0.0103722 -0.00910729 -0.05817717 0.03107106 0.0125066 ]\n", "[ 0.01037337 -0.00910839 -0.05817215 0.03106776 0.0125037 ]\n", "[ 0.01037454 -0.0091095 -0.05816713 0.03106447 0.01250081]\n", "[ 0.01037572 -0.0091106 -0.05816212 0.03106117 0.01249791]\n", "[ 0.01037689 -0.00911171 -0.0581571 0.03105788 0.01249502]\n", "[ 0.01037806 -0.00911281 -0.05815209 0.03105459 0.01249213]\n", "[ 0.01037923 -0.00911392 -0.05814707 0.0310513 0.01248923]\n", "[ 0.0103804 -0.00911502 -0.05814206 0.031048 0.01248634]\n", "[ 0.01038157 -0.00911612 -0.05813705 0.03104471 0.01248345]\n", "[ 0.01038274 -0.00911723 -0.05813204 0.03104142 0.01248056]\n", "[ 0.01038391 -0.00911833 -0.05812702 0.03103813 0.01247767]\n", "[ 0.01038508 -0.00911943 -0.05812201 0.03103484 0.01247478]\n", "[ 0.01038625 -0.00912054 -0.058117 0.03103155 0.01247189]\n", "[ 0.01038742 -0.00912164 -0.05811199 0.03102826 0.012469 ]\n", "[ 0.01038859 -0.00912274 -0.05810698 0.03102497 0.01246611]\n", "[ 0.01038976 -0.00912384 -0.05810197 0.03102169 0.01246322]\n", "[ 0.01039093 -0.00912494 -0.05809696 0.0310184 0.01246033]\n", "[ 0.0103921 -0.00912605 -0.05809195 0.03101511 0.01245744]\n", "[ 0.01039327 -0.00912715 -0.05808695 0.03101182 0.01245455]\n", "[ 0.01039444 -0.00912825 -0.05808194 0.03100854 0.01245167]\n", "[ 0.01039561 -0.00912935 -0.05807693 0.03100525 0.01244878]\n", "[ 0.01039678 -0.00913045 -0.05807193 0.03100197 0.01244589]\n", "[ 0.01039795 -0.00913155 -0.05806692 0.03099868 0.01244301]\n", "[ 0.01039912 -0.00913265 -0.05806192 0.0309954 0.01244012]\n", "[ 0.01040029 -0.00913375 -0.05805691 0.03099211 0.01243724]\n", "[ 0.01040145 -0.00913485 -0.05805191 0.03098883 0.01243435]\n", "[ 0.01040262 -0.00913595 -0.0580469 0.03098555 0.01243147]\n", "[ 0.01040379 -0.00913705 -0.0580419 0.03098226 0.01242858]\n", "[ 0.01040496 -0.00913815 -0.0580369 0.03097898 0.0124257 ]\n", "[ 0.01040613 -0.00913925 -0.0580319 0.0309757 0.01242282]\n", "[ 0.01040729 -0.00914034 -0.0580269 0.03097242 0.01241993]\n", "[ 0.01040846 -0.00914144 -0.0580219 0.03096914 0.01241705]\n", "[ 0.01040963 -0.00914254 -0.0580169 0.03096586 0.01241417]\n", "[ 0.0104108 -0.00914364 -0.0580119 0.03096258 0.01241129]\n", "[ 0.01041196 -0.00914474 -0.0580069 0.0309593 0.01240841]\n", "[ 0.01041313 -0.00914583 -0.0580019 0.03095602 0.01240553]\n", "[ 0.0104143 -0.00914693 -0.0579969 0.03095274 0.01240265]\n", "[ 0.01041547 -0.00914803 -0.0579919 0.03094946 0.01239977]\n", "[ 0.01041663 -0.00914912 -0.05798691 0.03094618 0.01239689]\n", "[ 0.0104178 -0.00915022 -0.05798191 0.03094291 0.01239401]\n", "[ 0.01041896 -0.00915132 -0.05797691 0.03093963 0.01239113]\n", "[ 0.01042013 -0.00915241 -0.05797192 0.03093635 0.01238825]\n", "[ 0.0104213 -0.00915351 -0.05796692 0.03093308 0.01238537]\n", "[ 0.01042246 -0.0091546 -0.05796193 0.0309298 0.0123825 ]\n", "[ 0.01042363 -0.0091557 -0.05795694 0.03092653 0.01237962]\n", "[ 0.01042479 -0.00915679 -0.05795194 0.03092325 0.01237674]\n", "[ 0.01042596 -0.00915789 -0.05794695 0.03091998 0.01237387]\n", "[ 0.01042713 -0.00915898 -0.05794196 0.0309167 0.01237099]\n", "[ 0.01042829 -0.00916008 -0.05793697 0.03091343 0.01236812]\n", "[ 0.01042946 -0.00916117 -0.05793198 0.03091016 0.01236524]\n", "[ 0.01043062 -0.00916226 -0.05792699 0.03090688 0.01236237]\n", "[ 0.01043179 -0.00916336 -0.057922 0.03090361 0.01235949]\n", "[ 0.01043295 -0.00916445 -0.05791701 0.03090034 0.01235662]\n", "[ 0.01043412 -0.00916554 -0.05791202 0.03089707 0.01235375]\n", "[ 0.01043528 -0.00916663 -0.05790703 0.0308938 0.01235087]\n", "[ 0.01043644 -0.00916773 -0.05790204 0.03089053 0.012348 ]\n", "[ 0.01043761 -0.00916882 -0.05789705 0.03088726 0.01234513]\n", "[ 0.01043877 -0.00916991 -0.05789207 0.03088399 0.01234226]\n", "[ 0.01043994 -0.009171 -0.05788708 0.03088072 0.01233939]\n", "[ 0.0104411 -0.00917209 -0.0578821 0.03087745 0.01233652]\n", "[ 0.01044226 -0.00917319 -0.05787711 0.03087418 0.01233365]\n", "[ 0.01044343 -0.00917428 -0.05787213 0.03087092 0.01233078]\n", "[ 0.01044459 -0.00917537 -0.05786714 0.03086765 0.01232791]\n", "[ 0.01044575 -0.00917646 -0.05786216 0.03086438 0.01232504]\n", "[ 0.01044692 -0.00917755 -0.05785718 0.03086112 0.01232217]\n", "[ 0.01044808 -0.00917864 -0.05785219 0.03085785 0.0123193 ]\n", "[ 0.01044924 -0.00917973 -0.05784721 0.03085459 0.01231644]\n", "[ 0.01045041 -0.00918082 -0.05784223 0.03085132 0.01231357]\n", "[ 0.01045157 -0.00918191 -0.05783725 0.03084806 0.0123107 ]\n", "[ 0.01045273 -0.009183 -0.05783227 0.03084479 0.01230783]\n", "[ 0.01045389 -0.00918408 -0.05782729 0.03084153 0.01230497]\n", "[ 0.01045506 -0.00918517 -0.05782231 0.03083827 0.0123021 ]\n", "[ 0.01045622 -0.00918626 -0.05781733 0.030835 0.01229924]\n", "[ 0.01045738 -0.00918735 -0.05781235 0.03083174 0.01229637]\n", "[ 0.01045854 -0.00918844 -0.05780738 0.03082848 0.01229351]\n", "[ 0.0104597 -0.00918953 -0.0578024 0.03082522 0.01229065]\n", "[ 0.01046086 -0.00919061 -0.05779742 0.03082196 0.01228778]\n", "[ 0.01046202 -0.0091917 -0.05779245 0.0308187 0.01228492]\n", "[ 0.01046319 -0.00919279 -0.05778747 0.03081544 0.01228206]\n", "[ 0.01046435 -0.00919387 -0.0577825 0.03081218 0.01227919]\n", "[ 0.01046551 -0.00919496 -0.05777752 0.03080892 0.01227633]\n", "[ 0.01046667 -0.00919605 -0.05777255 0.03080566 0.01227347]\n", "[ 0.01046783 -0.00919713 -0.05776757 0.0308024 0.01227061]\n", "[ 0.01046899 -0.00919822 -0.0577626 0.03079914 0.01226775]\n", "[ 0.01047015 -0.0091993 -0.05775763 0.03079588 0.01226489]\n", "[ 0.01047131 -0.00920039 -0.05775266 0.03079263 0.01226203]\n", "[ 0.01047247 -0.00920147 -0.05774769 0.03078937 0.01225917]\n", "[ 0.01047363 -0.00920256 -0.05774272 0.03078612 0.01225631]\n", "[ 0.01047479 -0.00920364 -0.05773775 0.03078286 0.01225345]\n", "[ 0.01047595 -0.00920473 -0.05773278 0.0307796 0.01225059]\n", "[ 0.01047711 -0.00920581 -0.05772781 0.03077635 0.01224774]\n", "[ 0.01047827 -0.00920689 -0.05772284 0.0307731 0.01224488]\n", "[ 0.01047943 -0.00920798 -0.05771787 0.03076984 0.01224202]\n", "[ 0.01048058 -0.00920906 -0.0577129 0.03076659 0.01223916]\n", "[ 0.01048174 -0.00921014 -0.05770794 0.03076333 0.01223631]\n", "[ 0.0104829 -0.00921123 -0.05770297 0.03076008 0.01223345]\n", "[ 0.01048406 -0.00921231 -0.05769801 0.03075683 0.0122306 ]\n", "[ 0.01048522 -0.00921339 -0.05769304 0.03075358 0.01222774]\n", "[ 0.01048638 -0.00921448 -0.05768808 0.03075033 0.01222489]\n", "[ 0.01048754 -0.00921556 -0.05768311 0.03074708 0.01222203]\n", "[ 0.01048869 -0.00921664 -0.05767815 0.03074383 0.01221918]\n", "[ 0.01048985 -0.00921772 -0.05767319 0.03074058 0.01221633]\n", "[ 0.01049101 -0.0092188 -0.05766822 0.03073733 0.01221347]\n", "[ 0.01049217 -0.00921988 -0.05766326 0.03073408 0.01221062]\n", "[ 0.01049332 -0.00922096 -0.0576583 0.03073083 0.01220777]\n", "[ 0.01049448 -0.00922204 -0.05765334 0.03072758 0.01220492]\n", "[ 0.01049564 -0.00922312 -0.05764838 0.03072433 0.01220207]\n", "[ 0.01049679 -0.0092242 -0.05764342 0.03072109 0.01219922]\n", "[ 0.01049795 -0.00922528 -0.05763846 0.03071784 0.01219637]\n", "[ 0.01049911 -0.00922636 -0.0576335 0.03071459 0.01219352]\n", "[ 0.01050026 -0.00922744 -0.05762854 0.03071135 0.01219067]\n", "[ 0.01050142 -0.00922852 -0.05762358 0.0307081 0.01218782]\n", "[ 0.01050258 -0.0092296 -0.05761863 0.03070486 0.01218497]\n", "[ 0.01050373 -0.00923068 -0.05761367 0.03070161 0.01218212]\n", "[ 0.01050489 -0.00923176 -0.05760871 0.03069837 0.01217927]\n", "[ 0.01050604 -0.00923284 -0.05760376 0.03069512 0.01217643]\n", "[ 0.0105072 -0.00923391 -0.0575988 0.03069188 0.01217358]\n", "[ 0.01050836 -0.00923499 -0.05759385 0.03068864 0.01217073]\n", "[ 0.01050951 -0.00923607 -0.0575889 0.03068539 0.01216789]\n", "[ 0.01051067 -0.00923715 -0.05758394 0.03068215 0.01216504]\n", "[ 0.01051182 -0.00923822 -0.05757899 0.03067891 0.01216219]\n", "[ 0.01051298 -0.0092393 -0.05757404 0.03067567 0.01215935]\n", "[ 0.01051413 -0.00924038 -0.05756909 0.03067243 0.0121565 ]\n", "[ 0.01051529 -0.00924145 -0.05756413 0.03066919 0.01215366]\n", "[ 0.01051644 -0.00924253 -0.05755918 0.03066595 0.01215082]\n", "[ 0.01051759 -0.00924361 -0.05755423 0.03066271 0.01214797]\n", "[ 0.01051875 -0.00924468 -0.05754928 0.03065947 0.01214513]\n", "[ 0.0105199 -0.00924576 -0.05754434 0.03065623 0.01214229]\n", "[ 0.01052106 -0.00924683 -0.05753939 0.03065299 0.01213945]\n", "[ 0.01052221 -0.00924791 -0.05753444 0.03064976 0.0121366 ]\n", "[ 0.01052336 -0.00924898 -0.05752949 0.03064652 0.01213376]\n", "[ 0.01052452 -0.00925006 -0.05752454 0.03064328 0.01213092]\n", "[ 0.01052567 -0.00925113 -0.0575196 0.03064005 0.01212808]\n", "[ 0.01052682 -0.0092522 -0.05751465 0.03063681 0.01212524]\n", "[ 0.01052798 -0.00925328 -0.05750971 0.03063357 0.0121224 ]\n", "[ 0.01052913 -0.00925435 -0.05750476 0.03063034 0.01211956]\n", "[ 0.01053028 -0.00925542 -0.05749982 0.0306271 0.01211672]\n", "[ 0.01053143 -0.0092565 -0.05749487 0.03062387 0.01211388]\n", "[ 0.01053259 -0.00925757 -0.05748993 0.03062064 0.01211105]\n", "[ 0.01053374 -0.00925864 -0.05748499 0.0306174 0.01210821]\n", "[ 0.01053489 -0.00925972 -0.05748005 0.03061417 0.01210537]\n", "[ 0.01053604 -0.00926079 -0.05747511 0.03061094 0.01210253]\n", "[ 0.01053719 -0.00926186 -0.05747016 0.03060771 0.0120997 ]\n", "[ 0.01053835 -0.00926293 -0.05746522 0.03060447 0.01209686]\n", "[ 0.0105395 -0.009264 -0.05746028 0.03060124 0.01209403]\n", "[ 0.01054065 -0.00926507 -0.05745534 0.03059801 0.01209119]\n", "[ 0.0105418 -0.00926615 -0.05745041 0.03059478 0.01208836]\n", "[ 0.01054295 -0.00926722 -0.05744547 0.03059155 0.01208552]\n", "[ 0.0105441 -0.00926829 -0.05744053 0.03058832 0.01208269]\n", "[ 0.01054525 -0.00926936 -0.05743559 0.03058509 0.01207985]\n", "[ 0.0105464 -0.00927043 -0.05743066 0.03058186 0.01207702]\n", "[ 0.01054755 -0.0092715 -0.05742572 0.03057864 0.01207419]\n", "[ 0.0105487 -0.00927257 -0.05742078 0.03057541 0.01207135]\n", "[ 0.01054985 -0.00927364 -0.05741585 0.03057218 0.01206852]\n", "[ 0.010551 -0.0092747 -0.05741091 0.03056895 0.01206569]\n", "[ 0.01055215 -0.00927577 -0.05740598 0.03056573 0.01206286]\n", "[ 0.0105533 -0.00927684 -0.05740105 0.0305625 0.01206003]\n", "[ 0.01055445 -0.00927791 -0.05739611 0.03055928 0.0120572 ]\n", "[ 0.0105556 -0.00927898 -0.05739118 0.03055605 0.01205437]\n", "[ 0.01055675 -0.00928005 -0.05738625 0.03055283 0.01205154]\n", "[ 0.0105579 -0.00928111 -0.05738132 0.0305496 0.01204871]\n", "[ 0.01055905 -0.00928218 -0.05737639 0.03054638 0.01204588]\n", "[ 0.0105602 -0.00928325 -0.05737146 0.03054316 0.01204305]\n", "[ 0.01056135 -0.00928432 -0.05736653 0.03053993 0.01204022]\n", "[ 0.01056249 -0.00928538 -0.0573616 0.03053671 0.0120374 ]\n", "[ 0.01056364 -0.00928645 -0.05735667 0.03053349 0.01203457]\n", "[ 0.01056479 -0.00928752 -0.05735174 0.03053027 0.01203174]\n", "[ 0.01056594 -0.00928858 -0.05734682 0.03052705 0.01202892]\n", "[ 0.01056709 -0.00928965 -0.05734189 0.03052382 0.01202609]\n", "[ 0.01056823 -0.00929071 -0.05733696 0.0305206 0.01202326]\n", "[ 0.01056938 -0.00929178 -0.05733204 0.03051738 0.01202044]\n", "[ 0.01057053 -0.00929285 -0.05732711 0.03051416 0.01201761]\n", "[ 0.01057168 -0.00929391 -0.05732219 0.03051095 0.01201479]\n", "[ 0.01057282 -0.00929498 -0.05731726 0.03050773 0.01201197]\n", "[ 0.01057397 -0.00929604 -0.05731234 0.03050451 0.01200914]\n", "[ 0.01057512 -0.0092971 -0.05730741 0.03050129 0.01200632]\n", "[ 0.01057626 -0.00929817 -0.05730249 0.03049807 0.0120035 ]\n", "[ 0.01057741 -0.00929923 -0.05729757 0.03049486 0.01200067]\n", "[ 0.01057856 -0.0093003 -0.05729265 0.03049164 0.01199785]\n", "[ 0.0105797 -0.00930136 -0.05728773 0.03048842 0.01199503]\n", "[ 0.01058085 -0.00930242 -0.05728281 0.03048521 0.01199221]\n", "[ 0.01058199 -0.00930349 -0.05727789 0.03048199 0.01198939]\n", "[ 0.01058314 -0.00930455 -0.05727297 0.03047878 0.01198657]\n", "[ 0.01058429 -0.00930561 -0.05726805 0.03047556 0.01198375]\n", "[ 0.01058543 -0.00930667 -0.05726313 0.03047235 0.01198093]\n", "[ 0.01058658 -0.00930773 -0.05725821 0.03046914 0.01197811]\n", "[ 0.01058772 -0.0093088 -0.05725329 0.03046592 0.01197529]\n", "[ 0.01058887 -0.00930986 -0.05724838 0.03046271 0.01197247]\n", "[ 0.01059001 -0.00931092 -0.05724346 0.0304595 0.01196966]\n", "[ 0.01059116 -0.00931198 -0.05723855 0.03045629 0.01196684]\n", "[ 0.0105923 -0.00931304 -0.05723363 0.03045308 0.01196402]\n", "[ 0.01059344 -0.0093141 -0.05722872 0.03044986 0.0119612 ]\n", "[ 0.01059459 -0.00931516 -0.0572238 0.03044665 0.01195839]\n", "[ 0.01059573 -0.00931622 -0.05721889 0.03044344 0.01195557]\n", "[ 0.01059688 -0.00931728 -0.05721398 0.03044023 0.01195276]\n", "[ 0.01059802 -0.00931834 -0.05720906 0.03043703 0.01194994]\n", "[ 0.01059916 -0.0093194 -0.05720415 0.03043382 0.01194713]\n", "[ 0.01060031 -0.00932046 -0.05719924 0.03043061 0.01194431]\n", "[ 0.01060145 -0.00932152 -0.05719433 0.0304274 0.0119415 ]\n", "[ 0.01060259 -0.00932258 -0.05718942 0.03042419 0.01193868]\n", "[ 0.01060374 -0.00932364 -0.05718451 0.03042099 0.01193587]\n", "[ 0.01060488 -0.0093247 -0.0571796 0.03041778 0.01193306]\n", "[ 0.01060602 -0.00932576 -0.05717469 0.03041457 0.01193025]\n", "[ 0.01060716 -0.00932681 -0.05716978 0.03041137 0.01192743]\n", "[ 0.01060831 -0.00932787 -0.05716487 0.03040816 0.01192462]\n", "[ 0.01060945 -0.00932893 -0.05715997 0.03040496 0.01192181]\n", "[ 0.01061059 -0.00932999 -0.05715506 0.03040175 0.011919 ]\n", "[ 0.01061173 -0.00933104 -0.05715015 0.03039855 0.01191619]\n", "[ 0.01061287 -0.0093321 -0.05714525 0.03039534 0.01191338]\n", "[ 0.01061402 -0.00933316 -0.05714034 0.03039214 0.01191057]\n", "[ 0.01061516 -0.00933421 -0.05713544 0.03038894 0.01190776]\n", "[ 0.0106163 -0.00933527 -0.05713054 0.03038574 0.01190495]\n", "[ 0.01061744 -0.00933632 -0.05712563 0.03038253 0.01190214]\n", "[ 0.01061858 -0.00933738 -0.05712073 0.03037933 0.01189934]\n", "[ 0.01061972 -0.00933844 -0.05711583 0.03037613 0.01189653]\n", "[ 0.01062086 -0.00933949 -0.05711093 0.03037293 0.01189372]\n", "[ 0.010622 -0.00934055 -0.05710602 0.03036973 0.01189092]\n", "[ 0.01062314 -0.0093416 -0.05710112 0.03036653 0.01188811]\n", "[ 0.01062428 -0.00934266 -0.05709622 0.03036333 0.0118853 ]\n", "[ 0.01062542 -0.00934371 -0.05709132 0.03036013 0.0118825 ]\n", "[ 0.01062656 -0.00934476 -0.05708643 0.03035693 0.01187969]\n", "[ 0.0106277 -0.00934582 -0.05708153 0.03035374 0.01187689]\n", "[ 0.01062884 -0.00934687 -0.05707663 0.03035054 0.01187408]\n", "[ 0.01062998 -0.00934793 -0.05707173 0.03034734 0.01187128]\n", "[ 0.01063112 -0.00934898 -0.05706683 0.03034414 0.01186848]\n", "[ 0.01063226 -0.00935003 -0.05706194 0.03034095 0.01186567]\n", "[ 0.0106334 -0.00935108 -0.05705704 0.03033775 0.01186287]\n", "[ 0.01063454 -0.00935214 -0.05705215 0.03033456 0.01186007]\n", "[ 0.01063567 -0.00935319 -0.05704725 0.03033136 0.01185726]\n", "[ 0.01063681 -0.00935424 -0.05704236 0.03032817 0.01185446]\n", "[ 0.01063795 -0.00935529 -0.05703746 0.03032497 0.01185166]\n", "[ 0.01063909 -0.00935635 -0.05703257 0.03032178 0.01184886]\n", "[ 0.01064023 -0.0093574 -0.05702768 0.03031858 0.01184606]\n", "[ 0.01064137 -0.00935845 -0.05702279 0.03031539 0.01184326]\n", "[ 0.0106425 -0.0093595 -0.05701789 0.0303122 0.01184046]\n", "[ 0.01064364 -0.00936055 -0.057013 0.03030901 0.01183766]\n", "[ 0.01064478 -0.0093616 -0.05700811 0.03030582 0.01183486]\n", "[ 0.01064591 -0.00936265 -0.05700322 0.03030262 0.01183206]\n", "[ 0.01064705 -0.0093637 -0.05699833 0.03029943 0.01182927]\n", "[ 0.01064819 -0.00936475 -0.05699345 0.03029624 0.01182647]\n", "[ 0.01064932 -0.0093658 -0.05698856 0.03029305 0.01182367]\n", "[ 0.01065046 -0.00936685 -0.05698367 0.03028986 0.01182088]\n", "[ 0.0106516 -0.0093679 -0.05697878 0.03028667 0.01181808]\n", "[ 0.01065273 -0.00936895 -0.0569739 0.03028348 0.01181528]\n", "[ 0.01065387 -0.00937 -0.05696901 0.0302803 0.01181249]\n", "[ 0.01065501 -0.00937105 -0.05696412 0.03027711 0.01180969]\n", "[ 0.01065614 -0.00937209 -0.05695924 0.03027392 0.0118069 ]\n", "[ 0.01065728 -0.00937314 -0.05695435 0.03027073 0.0118041 ]\n", "[ 0.01065841 -0.00937419 -0.05694947 0.03026755 0.01180131]\n", "[ 0.01065955 -0.00937524 -0.05694459 0.03026436 0.01179851]\n", "[ 0.01066068 -0.00937629 -0.0569397 0.03026117 0.01179572]\n", "[ 0.01066182 -0.00937733 -0.05693482 0.03025799 0.01179293]\n", "[ 0.01066295 -0.00937838 -0.05692994 0.0302548 0.01179014]\n", "[ 0.01066409 -0.00937943 -0.05692506 0.03025162 0.01178734]\n", "[ 0.01066522 -0.00938047 -0.05692018 0.03024844 0.01178455]\n", "[ 0.01066636 -0.00938152 -0.0569153 0.03024525 0.01178176]\n", "[ 0.01066749 -0.00938257 -0.05691042 0.03024207 0.01177897]\n", "[ 0.01066862 -0.00938361 -0.05690554 0.03023889 0.01177618]\n", "[ 0.01066976 -0.00938466 -0.05690066 0.0302357 0.01177339]\n", "[ 0.01067089 -0.0093857 -0.05689578 0.03023252 0.0117706 ]\n", "[ 0.01067202 -0.00938675 -0.0568909 0.03022934 0.01176781]\n", "[ 0.01067316 -0.00938779 -0.05688603 0.03022616 0.01176502]\n", "[ 0.01067429 -0.00938884 -0.05688115 0.03022298 0.01176223]\n", "[ 0.01067542 -0.00938988 -0.05687627 0.0302198 0.01175944]\n", "[ 0.01067656 -0.00939093 -0.0568714 0.03021662 0.01175666]\n", "[ 0.01067769 -0.00939197 -0.05686652 0.03021344 0.01175387]\n", "[ 0.01067882 -0.00939301 -0.05686165 0.03021026 0.01175108]\n", "[ 0.01067995 -0.00939406 -0.05685677 0.03020708 0.0117483 ]\n", "[ 0.01068109 -0.0093951 -0.0568519 0.0302039 0.01174551]\n", "[ 0.01068222 -0.00939614 -0.05684703 0.03020072 0.01174272]\n", "[ 0.01068335 -0.00939719 -0.05684216 0.03019755 0.01173994]\n", "[ 0.01068448 -0.00939823 -0.05683728 0.03019437 0.01173715]\n", "[ 0.01068561 -0.00939927 -0.05683241 0.03019119 0.01173437]\n", "[ 0.01068675 -0.00940032 -0.05682754 0.03018802 0.01173158]\n", "[ 0.01068788 -0.00940136 -0.05682267 0.03018484 0.0117288 ]\n", "[ 0.01068901 -0.0094024 -0.0568178 0.03018167 0.01172602]\n", "[ 0.01069014 -0.00940344 -0.05681293 0.03017849 0.01172323]\n", "[ 0.01069127 -0.00940448 -0.05680807 0.03017532 0.01172045]\n", "[ 0.0106924 -0.00940552 -0.0568032 0.03017214 0.01171767]\n", "[ 0.01069353 -0.00940657 -0.05679833 0.03016897 0.01171489]\n", "[ 0.01069466 -0.00940761 -0.05679346 0.0301658 0.01171211]\n", "[ 0.01069579 -0.00940865 -0.0567886 0.03016262 0.01170932]\n", "[ 0.01069692 -0.00940969 -0.05678373 0.03015945 0.01170654]\n", "[ 0.01069805 -0.00941073 -0.05677887 0.03015628 0.01170376]\n", "[ 0.01069918 -0.00941177 -0.056774 0.03015311 0.01170098]\n", "[ 0.01070031 -0.00941281 -0.05676914 0.03014994 0.0116982 ]\n", "[ 0.01070144 -0.00941385 -0.05676427 0.03014676 0.01169543]\n", "[ 0.01070257 -0.00941489 -0.05675941 0.03014359 0.01169265]\n", "[ 0.0107037 -0.00941592 -0.05675455 0.03014042 0.01168987]\n", "[ 0.01070483 -0.00941696 -0.05674969 0.03013726 0.01168709]\n", "[ 0.01070595 -0.009418 -0.05674482 0.03013409 0.01168431]\n", "[ 0.01070708 -0.00941904 -0.05673996 0.03013092 0.01168154]\n", "[ 0.01070821 -0.00942008 -0.0567351 0.03012775 0.01167876]\n", "[ 0.01070934 -0.00942112 -0.05673024 0.03012458 0.01167598]\n", "[ 0.01071047 -0.00942215 -0.05672538 0.03012141 0.01167321]\n", "[ 0.0107116 -0.00942319 -0.05672052 0.03011825 0.01167043]\n", "[ 0.01071272 -0.00942423 -0.05671567 0.03011508 0.01166766]\n", "[ 0.01071385 -0.00942527 -0.05671081 0.03011191 0.01166488]\n", "[ 0.01071498 -0.0094263 -0.05670595 0.03010875 0.01166211]\n", "[ 0.01071611 -0.00942734 -0.05670109 0.03010558 0.01165933]\n", "[ 0.01071723 -0.00942838 -0.05669624 0.03010242 0.01165656]\n", "[ 0.01071836 -0.00942941 -0.05669138 0.03009925 0.01165379]\n", "[ 0.01071949 -0.00943045 -0.05668653 0.03009609 0.01165101]\n", "[ 0.01072061 -0.00943148 -0.05668167 0.03009293 0.01164824]\n", "[ 0.01072174 -0.00943252 -0.05667682 0.03008976 0.01164547]\n", "[ 0.01072286 -0.00943356 -0.05667197 0.0300866 0.0116427 ]\n", "[ 0.01072399 -0.00943459 -0.05666711 0.03008344 0.01163992]\n", "[ 0.01072512 -0.00943563 -0.05666226 0.03008028 0.01163715]\n", "[ 0.01072624 -0.00943666 -0.05665741 0.03007711 0.01163438]\n", "[ 0.01072737 -0.0094377 -0.05665256 0.03007395 0.01163161]\n", "[ 0.01072849 -0.00943873 -0.05664771 0.03007079 0.01162884]\n", "[ 0.01072962 -0.00943976 -0.05664286 0.03006763 0.01162607]\n", "[ 0.01073074 -0.0094408 -0.05663801 0.03006447 0.0116233 ]\n", "[ 0.01073187 -0.00944183 -0.05663316 0.03006131 0.01162054]\n", "[ 0.01073299 -0.00944286 -0.05662831 0.03005815 0.01161777]\n", "[ 0.01073412 -0.0094439 -0.05662346 0.030055 0.011615 ]\n", "[ 0.01073524 -0.00944493 -0.05661861 0.03005184 0.01161223]\n", "[ 0.01073637 -0.00944596 -0.05661376 0.03004868 0.01160947]\n", "[ 0.01073749 -0.009447 -0.05660892 0.03004552 0.0116067 ]\n", "[ 0.01073862 -0.00944803 -0.05660407 0.03004237 0.01160393]\n", "[ 0.01073974 -0.00944906 -0.05659923 0.03003921 0.01160117]\n", "[ 0.01074086 -0.00945009 -0.05659438 0.03003605 0.0115984 ]\n", "[ 0.01074199 -0.00945112 -0.05658954 0.0300329 0.01159564]\n", "[ 0.01074311 -0.00945216 -0.05658469 0.03002974 0.01159287]\n", "[ 0.01074423 -0.00945319 -0.05657985 0.03002659 0.01159011]\n", "[ 0.01074536 -0.00945422 -0.05657501 0.03002343 0.01158734]\n", "[ 0.01074648 -0.00945525 -0.05657017 0.03002028 0.01158458]\n", "[ 0.0107476 -0.00945628 -0.05656532 0.03001712 0.01158182]\n", "[ 0.01074872 -0.00945731 -0.05656048 0.03001397 0.01157905]\n", "[ 0.01074985 -0.00945834 -0.05655564 0.03001082 0.01157629]\n", "[ 0.01075097 -0.00945937 -0.0565508 0.03000767 0.01157353]\n", "[ 0.01075209 -0.0094604 -0.05654596 0.03000451 0.01157077]\n", "[ 0.01075321 -0.00946143 -0.05654112 0.03000136 0.01156801]\n", "[ 0.01075433 -0.00946246 -0.05653628 0.02999821 0.01156525]\n", "[ 0.01075545 -0.00946349 -0.05653145 0.02999506 0.01156249]\n", "[ 0.01075658 -0.00946452 -0.05652661 0.02999191 0.01155972]\n", "[ 0.0107577 -0.00946554 -0.05652177 0.02998876 0.01155697]\n", "[ 0.01075882 -0.00946657 -0.05651694 0.02998561 0.01155421]\n", "[ 0.01075994 -0.0094676 -0.0565121 0.02998246 0.01155145]\n", "[ 0.01076106 -0.00946863 -0.05650726 0.02997931 0.01154869]\n", "[ 0.01076218 -0.00946966 -0.05650243 0.02997616 0.01154593]\n", "[ 0.0107633 -0.00947068 -0.05649759 0.02997302 0.01154317]\n", "[ 0.01076442 -0.00947171 -0.05649276 0.02996987 0.01154042]\n", "[ 0.01076554 -0.00947274 -0.05648793 0.02996672 0.01153766]\n", "[ 0.01076666 -0.00947377 -0.0564831 0.02996358 0.0115349 ]\n", "[ 0.01076778 -0.00947479 -0.05647826 0.02996043 0.01153215]\n", "[ 0.0107689 -0.00947582 -0.05647343 0.02995728 0.01152939]\n", "[ 0.01077002 -0.00947685 -0.0564686 0.02995414 0.01152663]\n", "[ 0.01077114 -0.00947787 -0.05646377 0.02995099 0.01152388]\n", "[ 0.01077226 -0.0094789 -0.05645894 0.02994785 0.01152112]\n", "[ 0.01077338 -0.00947992 -0.05645411 0.0299447 0.01151837]\n", "[ 0.01077449 -0.00948095 -0.05644928 0.02994156 0.01151562]\n", "[ 0.01077561 -0.00948197 -0.05644445 0.02993842 0.01151286]\n", "[ 0.01077673 -0.009483 -0.05643963 0.02993528 0.01151011]\n", "[ 0.01077785 -0.00948402 -0.0564348 0.02993213 0.01150736]\n", "[ 0.01077897 -0.00948505 -0.05642997 0.02992899 0.0115046 ]\n", "[ 0.01078009 -0.00948607 -0.05642515 0.02992585 0.01150185]\n", "[ 0.0107812 -0.0094871 -0.05642032 0.02992271 0.0114991 ]\n", "[ 0.01078232 -0.00948812 -0.05641549 0.02991957 0.01149635]\n", "[ 0.01078344 -0.00948914 -0.05641067 0.02991643 0.0114936 ]\n", "[ 0.01078455 -0.00949017 -0.05640585 0.02991329 0.01149085]\n", "[ 0.01078567 -0.00949119 -0.05640102 0.02991015 0.0114881 ]\n", "[ 0.01078679 -0.00949221 -0.0563962 0.02990701 0.01148535]\n", "[ 0.01078791 -0.00949324 -0.05639138 0.02990387 0.0114826 ]\n", "[ 0.01078902 -0.00949426 -0.05638655 0.02990073 0.01147985]\n", "[ 0.01079014 -0.00949528 -0.05638173 0.02989759 0.0114771 ]\n", "[ 0.01079125 -0.0094963 -0.05637691 0.02989445 0.01147435]\n", "[ 0.01079237 -0.00949733 -0.05637209 0.02989132 0.01147161]\n", "[ 0.01079349 -0.00949835 -0.05636727 0.02988818 0.01146886]\n", "[ 0.0107946 -0.00949937 -0.05636245 0.02988504 0.01146611]\n", "[ 0.01079572 -0.00950039 -0.05635763 0.02988191 0.01146337]\n", "[ 0.01079683 -0.00950141 -0.05635282 0.02987877 0.01146062]\n", "[ 0.01079795 -0.00950243 -0.056348 0.02987564 0.01145787]\n", "[ 0.01079906 -0.00950345 -0.05634318 0.0298725 0.01145513]\n", "[ 0.01080018 -0.00950447 -0.05633836 0.02986937 0.01145238]\n", "[ 0.01080129 -0.00950549 -0.05633355 0.02986624 0.01144964]\n", "[ 0.01080241 -0.00950651 -0.05632873 0.0298631 0.01144689]\n", "[ 0.01080352 -0.00950753 -0.05632392 0.02985997 0.01144415]\n", "[ 0.01080464 -0.00950855 -0.0563191 0.02985684 0.01144141]\n", "[ 0.01080575 -0.00950957 -0.05631429 0.0298537 0.01143866]\n", "[ 0.01080686 -0.00951059 -0.05630947 0.02985057 0.01143592]\n", "[ 0.01080798 -0.00951161 -0.05630466 0.02984744 0.01143318]\n", "[ 0.01080909 -0.00951263 -0.05629985 0.02984431 0.01143044]\n", "[ 0.0108102 -0.00951365 -0.05629504 0.02984118 0.01142769]\n", "[ 0.01081132 -0.00951467 -0.05629023 0.02983805 0.01142495]\n", "[ 0.01081243 -0.00951569 -0.05628542 0.02983492 0.01142221]\n", "[ 0.01081354 -0.0095167 -0.05628061 0.02983179 0.01141947]\n", "[ 0.01081466 -0.00951772 -0.0562758 0.02982866 0.01141673]\n", "[ 0.01081577 -0.00951874 -0.05627099 0.02982553 0.01141399]\n", "[ 0.01081688 -0.00951976 -0.05626618 0.0298224 0.01141125]\n", "[ 0.01081799 -0.00952077 -0.05626137 0.02981928 0.01140851]\n", "[ 0.01081911 -0.00952179 -0.05625656 0.02981615 0.01140578]\n", "[ 0.01082022 -0.00952281 -0.05625175 0.02981302 0.01140304]\n", "[ 0.01082133 -0.00952382 -0.05624695 0.0298099 0.0114003 ]\n", "[ 0.01082244 -0.00952484 -0.05624214 0.02980677 0.01139756]\n", "[ 0.01082355 -0.00952586 -0.05623734 0.02980364 0.01139483]\n", "[ 0.01082466 -0.00952687 -0.05623253 0.02980052 0.01139209]\n", "[ 0.01082577 -0.00952789 -0.05622773 0.02979739 0.01138935]\n", "[ 0.01082688 -0.0095289 -0.05622292 0.02979427 0.01138662]\n", "[ 0.010828 -0.00952992 -0.05621812 0.02979115 0.01138388]\n", "[ 0.01082911 -0.00953093 -0.05621332 0.02978802 0.01138115]\n", "[ 0.01083022 -0.00953195 -0.05620852 0.0297849 0.01137841]\n", "[ 0.01083133 -0.00953296 -0.05620371 0.02978178 0.01137568]\n", "[ 0.01083244 -0.00953398 -0.05619891 0.02977865 0.01137294]\n", "[ 0.01083355 -0.00953499 -0.05619411 0.02977553 0.01137021]\n", "[ 0.01083466 -0.009536 -0.05618931 0.02977241 0.01136748]\n", "[ 0.01083577 -0.00953702 -0.05618451 0.02976929 0.01136474]\n", "[ 0.01083687 -0.00953803 -0.05617971 0.02976617 0.01136201]\n", "[ 0.01083798 -0.00953905 -0.05617491 0.02976305 0.01135928]\n", "[ 0.01083909 -0.00954006 -0.05617012 0.02975993 0.01135655]\n", "[ 0.0108402 -0.00954107 -0.05616532 0.02975681 0.01135382]\n", "[ 0.01084131 -0.00954208 -0.05616052 0.02975369 0.01135108]\n", "[ 0.01084242 -0.0095431 -0.05615573 0.02975057 0.01134835]\n", "[ 0.01084353 -0.00954411 -0.05615093 0.02974745 0.01134562]\n", "[ 0.01084463 -0.00954512 -0.05614613 0.02974433 0.01134289]\n", "[ 0.01084574 -0.00954613 -0.05614134 0.02974122 0.01134016]\n", "[ 0.01084685 -0.00954714 -0.05613654 0.0297381 0.01133744]\n", "[ 0.01084796 -0.00954816 -0.05613175 0.02973498 0.01133471]\n", "[ 0.01084907 -0.00954917 -0.05612696 0.02973187 0.01133198]\n", "[ 0.01085017 -0.00955018 -0.05612217 0.02972875 0.01132925]\n", "[ 0.01085128 -0.00955119 -0.05611737 0.02972563 0.01132652]\n", "[ 0.01085239 -0.0095522 -0.05611258 0.02972252 0.0113238 ]\n", "[ 0.01085349 -0.00955321 -0.05610779 0.0297194 0.01132107]\n", "[ 0.0108546 -0.00955422 -0.056103 0.02971629 0.01131834]\n", "[ 0.01085571 -0.00955523 -0.05609821 0.02971318 0.01131562]\n", "[ 0.01085681 -0.00955624 -0.05609342 0.02971006 0.01131289]\n", "[ 0.01085792 -0.00955725 -0.05608863 0.02970695 0.01131017]\n", "[ 0.01085903 -0.00955826 -0.05608384 0.02970384 0.01130744]\n", "[ 0.01086013 -0.00955927 -0.05607905 0.02970072 0.01130472]\n", "[ 0.01086124 -0.00956028 -0.05607427 0.02969761 0.01130199]\n", "[ 0.01086234 -0.00956128 -0.05606948 0.0296945 0.01129927]\n", "[ 0.01086345 -0.00956229 -0.05606469 0.02969139 0.01129655]\n", "[ 0.01086455 -0.0095633 -0.05605991 0.02968828 0.01129382]\n", "[ 0.01086566 -0.00956431 -0.05605512 0.02968517 0.0112911 ]\n", "[ 0.01086676 -0.00956532 -0.05605034 0.02968206 0.01128838]\n", "[ 0.01086787 -0.00956632 -0.05604555 0.02967895 0.01128566]\n", "[ 0.01086897 -0.00956733 -0.05604077 0.02967584 0.01128293]\n", "[ 0.01087008 -0.00956834 -0.05603599 0.02967273 0.01128021]\n", "[ 0.01087118 -0.00956935 -0.0560312 0.02966962 0.01127749]\n", "[ 0.01087228 -0.00957035 -0.05602642 0.02966652 0.01127477]\n", "[ 0.01087339 -0.00957136 -0.05602164 0.02966341 0.01127205]\n", "[ 0.01087449 -0.00957237 -0.05601686 0.0296603 0.01126933]\n", "[ 0.01087559 -0.00957337 -0.05601208 0.02965719 0.01126661]\n", "[ 0.0108767 -0.00957438 -0.0560073 0.02965409 0.0112639 ]\n", "[ 0.0108778 -0.00957538 -0.05600252 0.02965098 0.01126118]\n", "[ 0.0108789 -0.00957639 -0.05599774 0.02964788 0.01125846]\n", "[ 0.01088001 -0.0095774 -0.05599296 0.02964477 0.01125574]\n", "[ 0.01088111 -0.0095784 -0.05598819 0.02964167 0.01125302]\n", "[ 0.01088221 -0.00957941 -0.05598341 0.02963856 0.01125031]\n", "[ 0.01088331 -0.00958041 -0.05597863 0.02963546 0.01124759]\n", "[ 0.01088442 -0.00958141 -0.05597385 0.02963236 0.01124487]\n", "[ 0.01088552 -0.00958242 -0.05596908 0.02962925 0.01124216]\n", "[ 0.01088662 -0.00958342 -0.0559643 0.02962615 0.01123944]\n", "[ 0.01088772 -0.00958443 -0.05595953 0.02962305 0.01123673]\n", "[ 0.01088882 -0.00958543 -0.05595476 0.02961995 0.01123401]\n", "[ 0.01088992 -0.00958643 -0.05594998 0.02961685 0.0112313 ]\n", "[ 0.01089102 -0.00958744 -0.05594521 0.02961374 0.01122859]\n", "[ 0.01089212 -0.00958844 -0.05594044 0.02961064 0.01122587]\n", "[ 0.01089323 -0.00958944 -0.05593566 0.02960754 0.01122316]\n", "[ 0.01089433 -0.00959045 -0.05593089 0.02960444 0.01122045]\n", "[ 0.01089543 -0.00959145 -0.05592612 0.02960134 0.01121773]\n", "[ 0.01089653 -0.00959245 -0.05592135 0.02959825 0.01121502]\n", "[ 0.01089763 -0.00959345 -0.05591658 0.02959515 0.01121231]\n", "[ 0.01089873 -0.00959445 -0.05591181 0.02959205 0.0112096 ]\n", "[ 0.01089983 -0.00959546 -0.05590704 0.02958895 0.01120689]\n", "[ 0.01090093 -0.00959646 -0.05590227 0.02958585 0.01120418]\n", "[ 0.01090202 -0.00959746 -0.05589751 0.02958276 0.01120147]\n", "[ 0.01090312 -0.00959846 -0.05589274 0.02957966 0.01119876]\n", "[ 0.01090422 -0.00959946 -0.05588797 0.02957656 0.01119605]\n", "[ 0.01090532 -0.00960046 -0.05588321 0.02957347 0.01119334]\n", "[ 0.01090642 -0.00960146 -0.05587844 0.02957037 0.01119063]\n", "[ 0.01090752 -0.00960246 -0.05587368 0.02956728 0.01118792]\n", "[ 0.01090862 -0.00960346 -0.05586891 0.02956418 0.01118521]\n", "[ 0.01090971 -0.00960446 -0.05586415 0.02956109 0.01118251]\n", "[ 0.01091081 -0.00960546 -0.05585938 0.029558 0.0111798 ]\n", "[ 0.01091191 -0.00960646 -0.05585462 0.0295549 0.01117709]\n", "[ 0.01091301 -0.00960746 -0.05584986 0.02955181 0.01117439]\n", "[ 0.01091411 -0.00960846 -0.0558451 0.02954872 0.01117168]\n", "[ 0.0109152 -0.00960946 -0.05584034 0.02954563 0.01116897]\n", "[ 0.0109163 -0.00961046 -0.05583557 0.02954253 0.01116627]\n", "[ 0.0109174 -0.00961145 -0.05583081 0.02953944 0.01116356]\n", "[ 0.01091849 -0.00961245 -0.05582605 0.02953635 0.01116086]\n", "[ 0.01091959 -0.00961345 -0.0558213 0.02953326 0.01115816]\n", "[ 0.01092069 -0.00961445 -0.05581654 0.02953017 0.01115545]\n", "[ 0.01092178 -0.00961544 -0.05581178 0.02952708 0.01115275]\n", "[ 0.01092288 -0.00961644 -0.05580702 0.02952399 0.01115005]\n", "[ 0.01092397 -0.00961744 -0.05580226 0.0295209 0.01114734]\n", "[ 0.01092507 -0.00961844 -0.05579751 0.02951781 0.01114464]\n", "[ 0.01092617 -0.00961943 -0.05579275 0.02951473 0.01114194]\n", "[ 0.01092726 -0.00962043 -0.055788 0.02951164 0.01113924]\n", "[ 0.01092836 -0.00962143 -0.05578324 0.02950855 0.01113654]\n", "[ 0.01092945 -0.00962242 -0.05577849 0.02950546 0.01113384]\n", "[ 0.01093055 -0.00962342 -0.05577373 0.02950238 0.01113114]\n", "[ 0.01093164 -0.00962441 -0.05576898 0.02949929 0.01112844]\n", "[ 0.01093274 -0.00962541 -0.05576423 0.02949621 0.01112574]\n", "[ 0.01093383 -0.0096264 -0.05575947 0.02949312 0.01112304]\n", "[ 0.01093492 -0.0096274 -0.05575472 0.02949004 0.01112034]\n", "[ 0.01093602 -0.00962839 -0.05574997 0.02948695 0.01111764]\n", "[ 0.01093711 -0.00962939 -0.05574522 0.02948387 0.01111494]\n", "[ 0.01093821 -0.00963038 -0.05574047 0.02948078 0.01111224]\n", "[ 0.0109393 -0.00963138 -0.05573572 0.0294777 0.01110955]\n", "[ 0.01094039 -0.00963237 -0.05573097 0.02947462 0.01110685]\n", "[ 0.01094149 -0.00963336 -0.05572622 0.02947153 0.01110415]\n", "[ 0.01094258 -0.00963436 -0.05572147 0.02946845 0.01110146]\n", "[ 0.01094367 -0.00963535 -0.05571673 0.02946537 0.01109876]\n", "[ 0.01094476 -0.00963634 -0.05571198 0.02946229 0.01109606]\n", "[ 0.01094586 -0.00963734 -0.05570723 0.02945921 0.01109337]\n", "[ 0.01094695 -0.00963833 -0.05570249 0.02945613 0.01109067]\n", "[ 0.01094804 -0.00963932 -0.05569774 0.02945305 0.01108798]\n", "[ 0.01094913 -0.00964031 -0.05569299 0.02944997 0.01108529]\n", "[ 0.01095022 -0.00964131 -0.05568825 0.02944689 0.01108259]\n", "[ 0.01095132 -0.0096423 -0.05568351 0.02944381 0.0110799 ]\n", "[ 0.01095241 -0.00964329 -0.05567876 0.02944073 0.01107721]\n", "[ 0.0109535 -0.00964428 -0.05567402 0.02943765 0.01107451]\n", "[ 0.01095459 -0.00964527 -0.05566928 0.02943458 0.01107182]\n", "[ 0.01095568 -0.00964626 -0.05566454 0.0294315 0.01106913]\n", "[ 0.01095677 -0.00964726 -0.05565979 0.02942842 0.01106644]\n", "[ 0.01095786 -0.00964825 -0.05565505 0.02942534 0.01106375]\n", "[ 0.01095895 -0.00964924 -0.05565031 0.02942227 0.01106106]\n", "[ 0.01096004 -0.00965023 -0.05564557 0.02941919 0.01105837]\n", "[ 0.01096113 -0.00965122 -0.05564083 0.02941612 0.01105568]\n", "[ 0.01096222 -0.00965221 -0.0556361 0.02941304 0.01105299]\n", "[ 0.01096331 -0.0096532 -0.05563136 0.02940997 0.0110503 ]\n", "[ 0.0109644 -0.00965419 -0.05562662 0.02940689 0.01104761]\n", "[ 0.01096549 -0.00965518 -0.05562188 0.02940382 0.01104492]\n", "[ 0.01096658 -0.00965616 -0.05561715 0.02940075 0.01104223]\n", "[ 0.01096767 -0.00965715 -0.05561241 0.02939767 0.01103954]\n", "[ 0.01096876 -0.00965814 -0.05560768 0.0293946 0.01103686]\n", "[ 0.01096985 -0.00965913 -0.05560294 0.02939153 0.01103417]\n", "[ 0.01097093 -0.00966012 -0.05559821 0.02938846 0.01103148]\n", "[ 0.01097202 -0.00966111 -0.05559347 0.02938539 0.0110288 ]\n", "[ 0.01097311 -0.00966209 -0.05558874 0.02938231 0.01102611]\n", "[ 0.0109742 -0.00966308 -0.05558401 0.02937924 0.01102343]\n", "[ 0.01097529 -0.00966407 -0.05557927 0.02937617 0.01102074]\n", "[ 0.01097637 -0.00966506 -0.05557454 0.0293731 0.01101806]\n", "[ 0.01097746 -0.00966604 -0.05556981 0.02937003 0.01101537]\n", "[ 0.01097855 -0.00966703 -0.05556508 0.02936697 0.01101269]\n", "[ 0.01097964 -0.00966802 -0.05556035 0.0293639 0.01101 ]\n", "[ 0.01098072 -0.009669 -0.05555562 0.02936083 0.01100732]\n", "[ 0.01098181 -0.00966999 -0.05555089 0.02935776 0.01100464]\n", "[ 0.0109829 -0.00967098 -0.05554616 0.02935469 0.01100196]\n", "[ 0.01098398 -0.00967196 -0.05554143 0.02935163 0.01099927]\n", "[ 0.01098507 -0.00967295 -0.05553671 0.02934856 0.01099659]\n", "[ 0.01098615 -0.00967393 -0.05553198 0.02934549 0.01099391]\n", "[ 0.01098724 -0.00967492 -0.05552725 0.02934243 0.01099123]\n", "[ 0.01098833 -0.0096759 -0.05552253 0.02933936 0.01098855]\n", "[ 0.01098941 -0.00967689 -0.0555178 0.0293363 0.01098587]\n", "[ 0.0109905 -0.00967787 -0.05551308 0.02933323 0.01098319]\n", "[ 0.01099158 -0.00967886 -0.05550835 0.02933017 0.01098051]\n", "[ 0.01099267 -0.00967984 -0.05550363 0.0293271 0.01097783]\n", "[ 0.01099375 -0.00968083 -0.0554989 0.02932404 0.01097515]\n", "[ 0.01099484 -0.00968181 -0.05549418 0.02932098 0.01097247]\n", "[ 0.01099592 -0.00968279 -0.05548946 0.02931791 0.01096979]\n", "[ 0.010997 -0.00968378 -0.05548474 0.02931485 0.01096712]\n", "[ 0.01099809 -0.00968476 -0.05548002 0.02931179 0.01096444]\n", "[ 0.01099917 -0.00968574 -0.0554753 0.02930873 0.01096176]\n", "[ 0.01100026 -0.00968673 -0.05547058 0.02930567 0.01095909]\n", "[ 0.01100134 -0.00968771 -0.05546586 0.02930261 0.01095641]\n", "[ 0.01100242 -0.00968869 -0.05546114 0.02929955 0.01095373]\n", "[ 0.01100351 -0.00968967 -0.05545642 0.02929649 0.01095106]\n", "[ 0.01100459 -0.00969065 -0.0554517 0.02929343 0.01094838]\n", "[ 0.01100567 -0.00969164 -0.05544698 0.02929037 0.01094571]\n", "[ 0.01100676 -0.00969262 -0.05544227 0.02928731 0.01094303]\n", "[ 0.01100784 -0.0096936 -0.05543755 0.02928425 0.01094036]\n", "[ 0.01100892 -0.00969458 -0.05543283 0.02928119 0.01093769]\n", "[ 0.01101 -0.00969556 -0.05542812 0.02927814 0.01093501]\n", "[ 0.01101108 -0.00969654 -0.0554234 0.02927508 0.01093234]\n", "[ 0.01101217 -0.00969752 -0.05541869 0.02927202 0.01092967]\n", "[ 0.01101325 -0.0096985 -0.05541397 0.02926897 0.01092699]\n", "[ 0.01101433 -0.00969948 -0.05540926 0.02926591 0.01092432]\n", "[ 0.01101541 -0.00970046 -0.05540455 0.02926285 0.01092165]\n", "[ 0.01101649 -0.00970144 -0.05539984 0.0292598 0.01091898]\n", "[ 0.01101757 -0.00970242 -0.05539512 0.02925674 0.01091631]\n", "[ 0.01101865 -0.0097034 -0.05539041 0.02925369 0.01091364]\n", "[ 0.01101973 -0.00970438 -0.0553857 0.02925064 0.01091097]\n", "[ 0.01102081 -0.00970536 -0.05538099 0.02924758 0.0109083 ]\n", "[ 0.0110219 -0.00970634 -0.05537628 0.02924453 0.01090563]\n", "[ 0.01102298 -0.00970732 -0.05537157 0.02924148 0.01090296]\n", "[ 0.01102406 -0.0097083 -0.05536686 0.02923842 0.01090029]\n", "[ 0.01102513 -0.00970927 -0.05536216 0.02923537 0.01089763]\n", "[ 0.01102621 -0.00971025 -0.05535745 0.02923232 0.01089496]\n", "[ 0.01102729 -0.00971123 -0.05535274 0.02922927 0.01089229]\n", "[ 0.01102837 -0.00971221 -0.05534804 0.02922622 0.01088962]\n", "[ 0.01102945 -0.00971318 -0.05534333 0.02922317 0.01088696]\n", "[ 0.01103053 -0.00971416 -0.05533862 0.02922012 0.01088429]\n", "[ 0.01103161 -0.00971514 -0.05533392 0.02921707 0.01088162]\n", "[ 0.01103269 -0.00971612 -0.05532921 0.02921402 0.01087896]\n", "[ 0.01103377 -0.00971709 -0.05532451 0.02921097 0.01087629]\n", "[ 0.01103484 -0.00971807 -0.05531981 0.02920792 0.01087363]\n", "[ 0.01103592 -0.00971904 -0.0553151 0.02920487 0.01087096]\n", "[ 0.011037 -0.00972002 -0.0553104 0.02920182 0.0108683 ]\n", "[ 0.01103808 -0.009721 -0.0553057 0.02919878 0.01086564]\n", "[ 0.01103916 -0.00972197 -0.055301 0.02919573 0.01086297]\n", "[ 0.01104023 -0.00972295 -0.0552963 0.02919268 0.01086031]\n", "[ 0.01104131 -0.00972392 -0.0552916 0.02918964 0.01085765]\n", "[ 0.01104239 -0.0097249 -0.0552869 0.02918659 0.01085498]\n", "[ 0.01104346 -0.00972587 -0.0552822 0.02918355 0.01085232]\n", "[ 0.01104454 -0.00972685 -0.0552775 0.0291805 0.01084966]\n", "[ 0.01104562 -0.00972782 -0.0552728 0.02917746 0.010847 ]\n", "[ 0.01104669 -0.0097288 -0.0552681 0.02917441 0.01084434]\n", "[ 0.01104777 -0.00972977 -0.05526341 0.02917137 0.01084168]\n", "[ 0.01104885 -0.00973074 -0.05525871 0.02916833 0.01083902]\n", "[ 0.01104992 -0.00973172 -0.05525402 0.02916528 0.01083636]\n", "[ 0.011051 -0.00973269 -0.05524932 0.02916224 0.0108337 ]\n", "[ 0.01105207 -0.00973366 -0.05524462 0.0291592 0.01083104]\n", "[ 0.01105315 -0.00973464 -0.05523993 0.02915616 0.01082838]\n", "[ 0.01105422 -0.00973561 -0.05523524 0.02915311 0.01082572]\n", "[ 0.0110553 -0.00973658 -0.05523054 0.02915007 0.01082307]\n", "[ 0.01105637 -0.00973755 -0.05522585 0.02914703 0.01082041]\n", "[ 0.01105745 -0.00973853 -0.05522116 0.02914399 0.01081775]\n", "[ 0.01105852 -0.0097395 -0.05521647 0.02914095 0.01081509]\n", "[ 0.01105959 -0.00974047 -0.05521177 0.02913791 0.01081244]\n", "[ 0.01106067 -0.00974144 -0.05520708 0.02913487 0.01080978]\n", "[ 0.01106174 -0.00974241 -0.05520239 0.02913183 0.01080713]\n", "[ 0.01106282 -0.00974338 -0.0551977 0.0291288 0.01080447]\n", "[ 0.01106389 -0.00974435 -0.05519301 0.02912576 0.01080182]\n", "[ 0.01106496 -0.00974533 -0.05518833 0.02912272 0.01079916]\n", "[ 0.01106604 -0.0097463 -0.05518364 0.02911968 0.01079651]\n", "[ 0.01106711 -0.00974727 -0.05517895 0.02911665 0.01079385]\n", "[ 0.01106818 -0.00974824 -0.05517426 0.02911361 0.0107912 ]\n", "[ 0.01106925 -0.00974921 -0.05516958 0.02911057 0.01078855]\n", "[ 0.01107033 -0.00975018 -0.05516489 0.02910754 0.01078589]\n", "[ 0.0110714 -0.00975115 -0.05516021 0.0291045 0.01078324]\n", "[ 0.01107247 -0.00975212 -0.05515552 0.02910147 0.01078059]\n", "[ 0.01107354 -0.00975308 -0.05515084 0.02909843 0.01077794]\n", "[ 0.01107461 -0.00975405 -0.05514615 0.0290954 0.01077529]\n", "[ 0.01107569 -0.00975502 -0.05514147 0.02909237 0.01077264]\n", "[ 0.01107676 -0.00975599 -0.05513679 0.02908933 0.01076999]\n", "[ 0.01107783 -0.00975696 -0.0551321 0.0290863 0.01076734]\n", "[ 0.0110789 -0.00975793 -0.05512742 0.02908327 0.01076469]\n", "[ 0.01107997 -0.0097589 -0.05512274 0.02908024 0.01076204]\n", "[ 0.01108104 -0.00975986 -0.05511806 0.0290772 0.01075939]\n", "[ 0.01108211 -0.00976083 -0.05511338 0.02907417 0.01075674]\n", "[ 0.01108318 -0.0097618 -0.0551087 0.02907114 0.01075409]\n", "[ 0.01108425 -0.00976277 -0.05510402 0.02906811 0.01075144]\n", "[ 0.01108532 -0.00976373 -0.05509934 0.02906508 0.01074879]\n", "[ 0.01108639 -0.0097647 -0.05509466 0.02906205 0.01074615]\n", "[ 0.01108746 -0.00976567 -0.05508999 0.02905902 0.0107435 ]\n", "[ 0.01108853 -0.00976663 -0.05508531 0.02905599 0.01074085]\n", "[ 0.0110896 -0.0097676 -0.05508063 0.02905296 0.01073821]\n", "[ 0.01109067 -0.00976856 -0.05507596 0.02904994 0.01073556]\n", "[ 0.01109174 -0.00976953 -0.05507128 0.02904691 0.01073292]\n", "[ 0.01109281 -0.0097705 -0.0550666 0.02904388 0.01073027]\n", "[ 0.01109387 -0.00977146 -0.05506193 0.02904085 0.01072763]\n", "[ 0.01109494 -0.00977243 -0.05505726 0.02903783 0.01072498]\n", "[ 0.01109601 -0.00977339 -0.05505258 0.0290348 0.01072234]\n", "[ 0.01109708 -0.00977436 -0.05504791 0.02903178 0.01071969]\n", "[ 0.01109815 -0.00977532 -0.05504324 0.02902875 0.01071705]\n", "[ 0.01109921 -0.00977629 -0.05503857 0.02902572 0.01071441]\n", "[ 0.01110028 -0.00977725 -0.05503389 0.0290227 0.01071176]\n", "[ 0.01110135 -0.00977821 -0.05502922 0.02901968 0.01070912]\n", "[ 0.01110242 -0.00977918 -0.05502455 0.02901665 0.01070648]\n", "[ 0.01110348 -0.00978014 -0.05501988 0.02901363 0.01070384]\n", "[ 0.01110455 -0.0097811 -0.05501521 0.0290106 0.0107012 ]\n", "[ 0.01110562 -0.00978207 -0.05501054 0.02900758 0.01069856]\n", "[ 0.01110668 -0.00978303 -0.05500588 0.02900456 0.01069592]\n", "[ 0.01110775 -0.00978399 -0.05500121 0.02900154 0.01069328]\n", "[ 0.01110881 -0.00978496 -0.05499654 0.02899852 0.01069064]\n", "[ 0.01110988 -0.00978592 -0.05499187 0.02899549 0.010688 ]\n", "[ 0.01111095 -0.00978688 -0.05498721 0.02899247 0.01068536]\n", "[ 0.01111201 -0.00978784 -0.05498254 0.02898945 0.01068272]\n", "[ 0.01111308 -0.00978881 -0.05497788 0.02898643 0.01068008]\n", "[ 0.01111414 -0.00978977 -0.05497321 0.02898341 0.01067744]\n", "[ 0.01111521 -0.00979073 -0.05496855 0.02898039 0.01067481]\n", "[ 0.01111627 -0.00979169 -0.05496389 0.02897738 0.01067217]\n", "[ 0.01111734 -0.00979265 -0.05495922 0.02897436 0.01066953]\n", "[ 0.0111184 -0.00979361 -0.05495456 0.02897134 0.0106669 ]\n", "[ 0.01111946 -0.00979457 -0.0549499 0.02896832 0.01066426]\n", "[ 0.01112053 -0.00979553 -0.05494524 0.0289653 0.01066162]\n", "[ 0.01112159 -0.00979649 -0.05494058 0.02896229 0.01065899]\n", "[ 0.01112266 -0.00979745 -0.05493592 0.02895927 0.01065635]\n", "[ 0.01112372 -0.00979841 -0.05493126 0.02895625 0.01065372]\n", "[ 0.01112478 -0.00979937 -0.0549266 0.02895324 0.01065109]\n", "[ 0.01112585 -0.00980033 -0.05492194 0.02895022 0.01064845]\n", "[ 0.01112691 -0.00980129 -0.05491728 0.02894721 0.01064582]\n", "[ 0.01112797 -0.00980225 -0.05491262 0.02894419 0.01064318]\n", "[ 0.01112904 -0.00980321 -0.05490796 0.02894118 0.01064055]\n", "[ 0.0111301 -0.00980417 -0.05490331 0.02893816 0.01063792]\n", "[ 0.01113116 -0.00980513 -0.05489865 0.02893515 0.01063529]\n", "[ 0.01113222 -0.00980609 -0.05489399 0.02893214 0.01063266]\n", "[ 0.01113328 -0.00980704 -0.05488934 0.02892912 0.01063002]\n", "[ 0.01113435 -0.009808 -0.05488468 0.02892611 0.01062739]\n", "[ 0.01113541 -0.00980896 -0.05488003 0.0289231 0.01062476]\n", "[ 0.01113647 -0.00980992 -0.05487538 0.02892009 0.01062213]\n", "[ 0.01113753 -0.00981087 -0.05487072 0.02891708 0.0106195 ]\n", "[ 0.01113859 -0.00981183 -0.05486607 0.02891407 0.01061687]\n", "[ 0.01113965 -0.00981279 -0.05486142 0.02891106 0.01061424]\n", "[ 0.01114071 -0.00981375 -0.05485677 0.02890805 0.01061161]\n", "[ 0.01114177 -0.0098147 -0.05485212 0.02890504 0.01060899]\n", "[ 0.01114283 -0.00981566 -0.05484747 0.02890203 0.01060636]\n", "[ 0.01114389 -0.00981661 -0.05484282 0.02889902 0.01060373]\n", "[ 0.01114495 -0.00981757 -0.05483817 0.02889601 0.0106011 ]\n", "[ 0.01114601 -0.00981853 -0.05483352 0.028893 0.01059848]\n", "[ 0.01114707 -0.00981948 -0.05482887 0.02888999 0.01059585]\n", "[ 0.01114813 -0.00982044 -0.05482422 0.02888699 0.01059322]\n", "[ 0.01114919 -0.00982139 -0.05481957 0.02888398 0.0105906 ]\n", "[ 0.01115025 -0.00982235 -0.05481493 0.02888097 0.01058797]\n", "[ 0.01115131 -0.0098233 -0.05481028 0.02887797 0.01058535]\n", "[ 0.01115237 -0.00982426 -0.05480564 0.02887496 0.01058272]\n", "[ 0.01115343 -0.00982521 -0.05480099 0.02887196 0.0105801 ]\n", "[ 0.01115449 -0.00982617 -0.05479634 0.02886895 0.01057747]\n", "[ 0.01115554 -0.00982712 -0.0547917 0.02886595 0.01057485]\n", "[ 0.0111566 -0.00982807 -0.05478706 0.02886294 0.01057223]\n", "[ 0.01115766 -0.00982903 -0.05478241 0.02885994 0.0105696 ]\n", "[ 0.01115872 -0.00982998 -0.05477777 0.02885693 0.01056698]\n", "[ 0.01115978 -0.00983093 -0.05477313 0.02885393 0.01056436]\n", "[ 0.01116083 -0.00983189 -0.05476849 0.02885093 0.01056173]\n", "[ 0.01116189 -0.00983284 -0.05476385 0.02884793 0.01055911]\n", "[ 0.01116295 -0.00983379 -0.05475921 0.02884492 0.01055649]\n", "[ 0.011164 -0.00983475 -0.05475457 0.02884192 0.01055387]\n", "[ 0.01116506 -0.0098357 -0.05474993 0.02883892 0.01055125]\n", "[ 0.01116612 -0.00983665 -0.05474529 0.02883592 0.01054863]\n", "[ 0.01116717 -0.0098376 -0.05474065 0.02883292 0.01054601]\n", "[ 0.01116823 -0.00983855 -0.05473601 0.02882992 0.01054339]\n", "[ 0.01116929 -0.00983951 -0.05473137 0.02882692 0.01054077]\n", "[ 0.01117034 -0.00984046 -0.05472674 0.02882392 0.01053815]\n", "[ 0.0111714 -0.00984141 -0.0547221 0.02882092 0.01053553]\n", "[ 0.01117245 -0.00984236 -0.05471746 0.02881792 0.01053292]\n", "[ 0.01117351 -0.00984331 -0.05471283 0.02881493 0.0105303 ]\n", "[ 0.01117456 -0.00984426 -0.05470819 0.02881193 0.01052768]\n", "[ 0.01117562 -0.00984521 -0.05470356 0.02880893 0.01052506]\n", "[ 0.01117667 -0.00984616 -0.05469892 0.02880593 0.01052245]\n", "[ 0.01117773 -0.00984711 -0.05469429 0.02880294 0.01051983]\n", "[ 0.01117878 -0.00984806 -0.05468966 0.02879994 0.01051722]\n", "[ 0.01117983 -0.00984901 -0.05468503 0.02879694 0.0105146 ]\n", "[ 0.01118089 -0.00984996 -0.05468039 0.02879395 0.01051198]\n", "[ 0.01118194 -0.00985091 -0.05467576 0.02879095 0.01050937]\n", "[ 0.011183 -0.00985186 -0.05467113 0.02878796 0.01050676]\n", "[ 0.01118405 -0.00985281 -0.0546665 0.02878496 0.01050414]\n", "[ 0.0111851 -0.00985376 -0.05466187 0.02878197 0.01050153]\n", "[ 0.01118616 -0.0098547 -0.05465724 0.02877898 0.01049891]\n", "[ 0.01118721 -0.00985565 -0.05465261 0.02877598 0.0104963 ]\n", "[ 0.01118826 -0.0098566 -0.05464799 0.02877299 0.01049369]\n", "[ 0.01118931 -0.00985755 -0.05464336 0.02877 0.01049108]\n", "[ 0.01119037 -0.0098585 -0.05463873 0.02876701 0.01048846]\n", "[ 0.01119142 -0.00985944 -0.0546341 0.02876402 0.01048585]\n", "[ 0.01119247 -0.00986039 -0.05462948 0.02876102 0.01048324]\n", "[ 0.01119352 -0.00986134 -0.05462485 0.02875803 0.01048063]\n", "[ 0.01119457 -0.00986228 -0.05462023 0.02875504 0.01047802]\n", "[ 0.01119563 -0.00986323 -0.0546156 0.02875205 0.01047541]\n", "[ 0.01119668 -0.00986418 -0.05461098 0.02874906 0.0104728 ]\n", "[ 0.01119773 -0.00986512 -0.05460636 0.02874607 0.01047019]\n", "[ 0.01119878 -0.00986607 -0.05460173 0.02874308 0.01046758]\n", "[ 0.01119983 -0.00986702 -0.05459711 0.0287401 0.01046497]\n", "[ 0.01120088 -0.00986796 -0.05459249 0.02873711 0.01046236]\n", "[ 0.01120193 -0.00986891 -0.05458787 0.02873412 0.01045976]\n", "[ 0.01120298 -0.00986985 -0.05458325 0.02873113 0.01045715]\n", "[ 0.01120403 -0.0098708 -0.05457863 0.02872815 0.01045454]\n", "[ 0.01120508 -0.00987174 -0.05457401 0.02872516 0.01045193]\n", "[ 0.01120613 -0.00987269 -0.05456939 0.02872217 0.01044933]\n", "[ 0.01120718 -0.00987363 -0.05456477 0.02871919 0.01044672]\n", "[ 0.01120823 -0.00987458 -0.05456015 0.0287162 0.01044411]\n", "[ 0.01120928 -0.00987552 -0.05455553 0.02871322 0.01044151]\n", "[ 0.01121033 -0.00987646 -0.05455091 0.02871023 0.0104389 ]\n", "[ 0.01121138 -0.00987741 -0.0545463 0.02870725 0.0104363 ]\n", "[ 0.01121243 -0.00987835 -0.05454168 0.02870426 0.01043369]\n", "[ 0.01121347 -0.0098793 -0.05453707 0.02870128 0.01043109]\n", "[ 0.01121452 -0.00988024 -0.05453245 0.0286983 0.01042849]\n", "[ 0.01121557 -0.00988118 -0.05452784 0.02869531 0.01042588]\n", "[ 0.01121662 -0.00988212 -0.05452322 0.02869233 0.01042328]\n", "[ 0.01121767 -0.00988307 -0.05451861 0.02868935 0.01042068]\n", "[ 0.01121871 -0.00988401 -0.054514 0.02868637 0.01041807]\n", "[ 0.01121976 -0.00988495 -0.05450938 0.02868338 0.01041547]\n", "[ 0.01122081 -0.00988589 -0.05450477 0.0286804 0.01041287]\n", "[ 0.01122185 -0.00988684 -0.05450016 0.02867742 0.01041027]\n", "[ 0.0112229 -0.00988778 -0.05449555 0.02867444 0.01040767]\n", "[ 0.01122395 -0.00988872 -0.05449094 0.02867146 0.01040507]\n", "[ 0.01122499 -0.00988966 -0.05448633 0.02866848 0.01040247]\n", "[ 0.01122604 -0.0098906 -0.05448172 0.0286655 0.01039987]\n", "[ 0.01122709 -0.00989154 -0.05447711 0.02866253 0.01039727]\n", "[ 0.01122813 -0.00989248 -0.0544725 0.02865955 0.01039467]\n", "[ 0.01122918 -0.00989342 -0.05446789 0.02865657 0.01039207]\n", "[ 0.01123022 -0.00989436 -0.05446329 0.02865359 0.01038947]\n", "[ 0.01123127 -0.0098953 -0.05445868 0.02865061 0.01038687]\n", "[ 0.01123232 -0.00989624 -0.05445407 0.02864764 0.01038428]\n", "[ 0.01123336 -0.00989718 -0.05444947 0.02864466 0.01038168]\n", "[ 0.01123441 -0.00989812 -0.05444486 0.02864169 0.01037908]\n", "[ 0.01123545 -0.00989906 -0.05444026 0.02863871 0.01037648]\n", "[ 0.01123649 -0.0099 -0.05443565 0.02863573 0.01037389]\n", "[ 0.01123754 -0.00990094 -0.05443105 0.02863276 0.01037129]\n", "[ 0.01123858 -0.00990188 -0.05442644 0.02862978 0.0103687 ]\n", "[ 0.01123963 -0.00990282 -0.05442184 0.02862681 0.0103661 ]\n", "[ 0.01124067 -0.00990376 -0.05441724 0.02862384 0.01036351]\n", "[ 0.01124171 -0.0099047 -0.05441264 0.02862086 0.01036091]\n", "[ 0.01124276 -0.00990563 -0.05440804 0.02861789 0.01035832]\n", "[ 0.0112438 -0.00990657 -0.05440344 0.02861492 0.01035572]\n", "[ 0.01124484 -0.00990751 -0.05439884 0.02861195 0.01035313]\n", "[ 0.01124589 -0.00990845 -0.05439424 0.02860897 0.01035054]\n", "[ 0.01124693 -0.00990938 -0.05438964 0.028606 0.01034794]\n", "[ 0.01124797 -0.00991032 -0.05438504 0.02860303 0.01034535]\n", "[ 0.01124901 -0.00991126 -0.05438044 0.02860006 0.01034276]\n", "[ 0.01125006 -0.0099122 -0.05437584 0.02859709 0.01034017]\n", "[ 0.0112511 -0.00991313 -0.05437125 0.02859412 0.01033758]\n", "[ 0.01125214 -0.00991407 -0.05436665 0.02859115 0.01033499]\n", "[ 0.01125318 -0.009915 -0.05436205 0.02858818 0.0103324 ]\n", "[ 0.01125422 -0.00991594 -0.05435746 0.02858521 0.0103298 ]\n", "[ 0.01125527 -0.00991688 -0.05435286 0.02858224 0.01032721]\n", "[ 0.01125631 -0.00991781 -0.05434827 0.02857928 0.01032463]\n", "[ 0.01125735 -0.00991875 -0.05434367 0.02857631 0.01032204]\n", "[ 0.01125839 -0.00991968 -0.05433908 0.02857334 0.01031945]\n", "[ 0.01125943 -0.00992062 -0.05433449 0.02857037 0.01031686]\n", "[ 0.01126047 -0.00992155 -0.05432989 0.02856741 0.01031427]\n", "[ 0.01126151 -0.00992249 -0.0543253 0.02856444 0.01031168]\n", "[ 0.01126255 -0.00992342 -0.05432071 0.02856147 0.01030909]\n", "[ 0.01126359 -0.00992436 -0.05431612 0.02855851 0.01030651]\n", "[ 0.01126463 -0.00992529 -0.05431153 0.02855554 0.01030392]\n", "[ 0.01126567 -0.00992622 -0.05430694 0.02855258 0.01030133]\n", "[ 0.01126671 -0.00992716 -0.05430235 0.02854961 0.01029875]\n", "[ 0.01126775 -0.00992809 -0.05429776 0.02854665 0.01029616]\n", "[ 0.01126879 -0.00992902 -0.05429317 0.02854369 0.01029358]\n", "[ 0.01126983 -0.00992996 -0.05428859 0.02854072 0.01029099]\n", "[ 0.01127086 -0.00993089 -0.054284 0.02853776 0.01028841]\n", "[ 0.0112719 -0.00993182 -0.05427941 0.0285348 0.01028582]\n", "[ 0.01127294 -0.00993276 -0.05427483 0.02853184 0.01028324]\n", "[ 0.01127398 -0.00993369 -0.05427024 0.02852888 0.01028066]\n", "[ 0.01127502 -0.00993462 -0.05426565 0.02852591 0.01027807]\n", "[ 0.01127605 -0.00993555 -0.05426107 0.02852295 0.01027549]\n", "[ 0.01127709 -0.00993648 -0.05425649 0.02851999 0.01027291]\n", "[ 0.01127813 -0.00993742 -0.0542519 0.02851703 0.01027032]\n", "[ 0.01127917 -0.00993835 -0.05424732 0.02851407 0.01026774]\n", "[ 0.0112802 -0.00993928 -0.05424274 0.02851111 0.01026516]\n", "[ 0.01128124 -0.00994021 -0.05423815 0.02850815 0.01026258]\n", "[ 0.01128228 -0.00994114 -0.05423357 0.02850519 0.01026 ]\n", "[ 0.01128331 -0.00994207 -0.05422899 0.02850224 0.01025742]\n", "[ 0.01128435 -0.009943 -0.05422441 0.02849928 0.01025484]\n", "[ 0.01128539 -0.00994393 -0.05421983 0.02849632 0.01025226]\n", "[ 0.01128642 -0.00994486 -0.05421525 0.02849336 0.01024968]\n", "[ 0.01128746 -0.00994579 -0.05421067 0.02849041 0.0102471 ]\n", "[ 0.01128849 -0.00994672 -0.05420609 0.02848745 0.01024452]\n", "[ 0.01128953 -0.00994765 -0.05420152 0.02848449 0.01024194]\n", "[ 0.01129056 -0.00994858 -0.05419694 0.02848154 0.01023937]\n", "[ 0.0112916 -0.00994951 -0.05419236 0.02847858 0.01023679]\n", "[ 0.01129263 -0.00995044 -0.05418778 0.02847563 0.01023421]\n", "[ 0.01129367 -0.00995137 -0.05418321 0.02847267 0.01023163]\n", "[ 0.0112947 -0.0099523 -0.05417863 0.02846972 0.01022906]\n", "[ 0.01129574 -0.00995322 -0.05417406 0.02846677 0.01022648]\n", "[ 0.01129677 -0.00995415 -0.05416948 0.02846381 0.0102239 ]\n", "[ 0.01129781 -0.00995508 -0.05416491 0.02846086 0.01022133]\n", "[ 0.01129884 -0.00995601 -0.05416034 0.02845791 0.01021875]\n", "[ 0.01129987 -0.00995694 -0.05415576 0.02845495 0.01021618]\n", "[ 0.01130091 -0.00995786 -0.05415119 0.028452 0.0102136 ]\n", "[ 0.01130194 -0.00995879 -0.05414662 0.02844905 0.01021103]\n", "[ 0.01130297 -0.00995972 -0.05414205 0.0284461 0.01020846]\n", "[ 0.01130401 -0.00996064 -0.05413748 0.02844315 0.01020588]\n", "[ 0.01130504 -0.00996157 -0.05413291 0.0284402 0.01020331]\n", "[ 0.01130607 -0.0099625 -0.05412834 0.02843725 0.01020074]\n", "[ 0.0113071 -0.00996342 -0.05412377 0.0284343 0.01019816]\n", "[ 0.01130814 -0.00996435 -0.0541192 0.02843135 0.01019559]\n", "[ 0.01130917 -0.00996528 -0.05411463 0.0284284 0.01019302]\n", "[ 0.0113102 -0.0099662 -0.05411006 0.02842545 0.01019045]\n", "[ 0.01131123 -0.00996713 -0.0541055 0.0284225 0.01018788]\n", "[ 0.01131226 -0.00996805 -0.05410093 0.02841956 0.01018531]\n", "[ 0.01131329 -0.00996898 -0.05409636 0.02841661 0.01018274]\n", "[ 0.01131432 -0.0099699 -0.0540918 0.02841366 0.01018017]\n", "[ 0.01131536 -0.00997083 -0.05408723 0.02841071 0.0101776 ]\n", "[ 0.01131639 -0.00997175 -0.05408267 0.02840777 0.01017503]\n", "[ 0.01131742 -0.00997268 -0.0540781 0.02840482 0.01017246]\n", "[ 0.01131845 -0.0099736 -0.05407354 0.02840188 0.01016989]\n", "[ 0.01131948 -0.00997453 -0.05406898 0.02839893 0.01016732]\n", "[ 0.01132051 -0.00997545 -0.05406441 0.02839599 0.01016476]\n", "[ 0.01132154 -0.00997637 -0.05405985 0.02839304 0.01016219]\n", "[ 0.01132257 -0.0099773 -0.05405529 0.0283901 0.01015962]\n", "[ 0.0113236 -0.00997822 -0.05405073 0.02838715 0.01015705]\n", "[ 0.01132463 -0.00997914 -0.05404617 0.02838421 0.01015449]\n", "[ 0.01132566 -0.00998007 -0.05404161 0.02838127 0.01015192]\n", "[ 0.01132668 -0.00998099 -0.05403705 0.02837833 0.01014936]\n", "[ 0.01132771 -0.00998191 -0.05403249 0.02837538 0.01014679]\n", "[ 0.01132874 -0.00998283 -0.05402793 0.02837244 0.01014423]\n", "[ 0.01132977 -0.00998376 -0.05402337 0.0283695 0.01014166]\n", "[ 0.0113308 -0.00998468 -0.05401882 0.02836656 0.0101391 ]\n", "[ 0.01133183 -0.0099856 -0.05401426 0.02836362 0.01013653]\n", "[ 0.01133285 -0.00998652 -0.0540097 0.02836068 0.01013397]\n", "[ 0.01133388 -0.00998744 -0.05400515 0.02835774 0.01013141]\n", "[ 0.01133491 -0.00998836 -0.05400059 0.0283548 0.01012884]\n", "[ 0.01133594 -0.00998928 -0.05399604 0.02835186 0.01012628]\n", "[ 0.01133696 -0.00999021 -0.05399148 0.02834892 0.01012372]\n", "[ 0.01133799 -0.00999113 -0.05398693 0.02834598 0.01012116]\n", "[ 0.01133902 -0.00999205 -0.05398237 0.02834304 0.01011859]\n", "[ 0.01134004 -0.00999297 -0.05397782 0.02834011 0.01011603]\n", "[ 0.01134107 -0.00999389 -0.05397327 0.02833717 0.01011347]\n", "[ 0.0113421 -0.00999481 -0.05396872 0.02833423 0.01011091]\n", "[ 0.01134312 -0.00999573 -0.05396417 0.02833129 0.01010835]\n", "[ 0.01134415 -0.00999665 -0.05395961 0.02832836 0.01010579]\n", "[ 0.01134517 -0.00999757 -0.05395506 0.02832542 0.01010323]\n", "[ 0.0113462 -0.00999849 -0.05395051 0.02832249 0.01010067]\n", "[ 0.01134723 -0.0099994 -0.05394597 0.02831955 0.01009811]\n", "[ 0.01134825 -0.01000032 -0.05394142 0.02831662 0.01009556]\n", "[ 0.01134928 -0.01000124 -0.05393687 0.02831368 0.010093 ]\n", "[ 0.0113503 -0.01000216 -0.05393232 0.02831075 0.01009044]\n", "[ 0.01135133 -0.01000308 -0.05392777 0.02830781 0.01008788]\n", "[ 0.01135235 -0.010004 -0.05392323 0.02830488 0.01008533]\n", "[ 0.01135337 -0.01000491 -0.05391868 0.02830195 0.01008277]\n", "[ 0.0113544 -0.01000583 -0.05391413 0.02829902 0.01008021]\n", "[ 0.01135542 -0.01000675 -0.05390959 0.02829608 0.01007766]\n", "[ 0.01135645 -0.01000767 -0.05390504 0.02829315 0.0100751 ]\n", "[ 0.01135747 -0.01000858 -0.0539005 0.02829022 0.01007255]\n", "[ 0.01135849 -0.0100095 -0.05389596 0.02828729 0.01006999]\n", "[ 0.01135952 -0.01001042 -0.05389141 0.02828436 0.01006744]\n", "[ 0.01136054 -0.01001133 -0.05388687 0.02828143 0.01006488]\n", "[ 0.01136156 -0.01001225 -0.05388233 0.0282785 0.01006233]\n", "[ 0.01136258 -0.01001317 -0.05387779 0.02827557 0.01005977]\n", "[ 0.01136361 -0.01001408 -0.05387325 0.02827264 0.01005722]\n", "[ 0.01136463 -0.010015 -0.05386871 0.02826971 0.01005467]\n", "[ 0.01136565 -0.01001592 -0.05386417 0.02826678 0.01005212]\n", "[ 0.01136667 -0.01001683 -0.05385963 0.02826385 0.01004956]\n", "[ 0.0113677 -0.01001775 -0.05385509 0.02826093 0.01004701]\n", "[ 0.01136872 -0.01001866 -0.05385055 0.028258 0.01004446]\n", "[ 0.01136974 -0.01001958 -0.05384601 0.02825507 0.01004191]\n", "[ 0.01137076 -0.01002049 -0.05384147 0.02825215 0.01003936]\n", "[ 0.01137178 -0.01002141 -0.05383694 0.02824922 0.01003681]\n", "[ 0.0113728 -0.01002232 -0.0538324 0.02824629 0.01003426]\n", "[ 0.01137382 -0.01002323 -0.05382786 0.02824337 0.01003171]\n", "[ 0.01137484 -0.01002415 -0.05382333 0.02824044 0.01002916]\n", "[ 0.01137586 -0.01002506 -0.05381879 0.02823752 0.01002661]\n", "[ 0.01137688 -0.01002598 -0.05381426 0.02823459 0.01002406]\n", "[ 0.0113779 -0.01002689 -0.05380972 0.02823167 0.01002151]\n", "[ 0.01137892 -0.0100278 -0.05380519 0.02822875 0.01001896]\n", "[ 0.01137994 -0.01002871 -0.05380066 0.02822582 0.01001642]\n", "[ 0.01138096 -0.01002963 -0.05379613 0.0282229 0.01001387]\n", "[ 0.01138198 -0.01003054 -0.05379159 0.02821998 0.01001132]\n", "[ 0.011383 -0.01003145 -0.05378706 0.02821706 0.01000878]\n", "[ 0.01138402 -0.01003237 -0.05378253 0.02821413 0.01000623]\n", "[ 0.01138504 -0.01003328 -0.053778 0.02821121 0.01000368]\n", "[ 0.01138606 -0.01003419 -0.05377347 0.02820829 0.01000114]\n", "[ 0.01138708 -0.0100351 -0.05376894 0.02820537 0.00999859]\n", "[ 0.01138809 -0.01003601 -0.05376441 0.02820245 0.00999605]\n", "[ 0.01138911 -0.01003692 -0.05375988 0.02819953 0.0099935 ]\n", "[ 0.01139013 -0.01003784 -0.05375536 0.02819661 0.00999096]\n", "[ 0.01139115 -0.01003875 -0.05375083 0.02819369 0.00998841]\n", "[ 0.01139217 -0.01003966 -0.0537463 0.02819077 0.00998587]\n", "[ 0.01139318 -0.01004057 -0.05374178 0.02818785 0.00998333]\n", "[ 0.0113942 -0.01004148 -0.05373725 0.02818494 0.00998079]\n", "[ 0.01139522 -0.01004239 -0.05373273 0.02818202 0.00997824]\n", "[ 0.01139623 -0.0100433 -0.0537282 0.0281791 0.0099757 ]\n", "[ 0.01139725 -0.01004421 -0.05372368 0.02817618 0.00997316]\n", "[ 0.01139827 -0.01004512 -0.05371915 0.02817327 0.00997062]\n", "[ 0.01139928 -0.01004603 -0.05371463 0.02817035 0.00996808]\n", "[ 0.0114003 -0.01004694 -0.05371011 0.02816744 0.00996554]\n", "[ 0.01140131 -0.01004785 -0.05370558 0.02816452 0.009963 ]\n", "[ 0.01140233 -0.01004876 -0.05370106 0.0281616 0.00996046]\n", "[ 0.01140335 -0.01004966 -0.05369654 0.02815869 0.00995792]\n", "[ 0.01140436 -0.01005057 -0.05369202 0.02815578 0.00995538]\n", "[ 0.01140538 -0.01005148 -0.0536875 0.02815286 0.00995284]\n", "[ 0.01140639 -0.01005239 -0.05368298 0.02814995 0.0099503 ]\n", "[ 0.01140741 -0.0100533 -0.05367846 0.02814703 0.00994776]\n", "[ 0.01140842 -0.01005421 -0.05367394 0.02814412 0.00994522]\n", "[ 0.01140943 -0.01005511 -0.05366942 0.02814121 0.00994268]\n", "[ 0.01141045 -0.01005602 -0.05366491 0.0281383 0.00994015]\n", "[ 0.01141146 -0.01005693 -0.05366039 0.02813538 0.00993761]\n", "[ 0.01141248 -0.01005784 -0.05365587 0.02813247 0.00993507]\n", "[ 0.01141349 -0.01005874 -0.05365136 0.02812956 0.00993254]\n", "[ 0.0114145 -0.01005965 -0.05364684 0.02812665 0.00993 ]\n", "[ 0.01141552 -0.01006056 -0.05364233 0.02812374 0.00992747]\n", "[ 0.01141653 -0.01006146 -0.05363781 0.02812083 0.00992493]\n", "[ 0.01141754 -0.01006237 -0.0536333 0.02811792 0.0099224 ]\n", "[ 0.01141856 -0.01006327 -0.05362878 0.02811501 0.00991986]\n", "[ 0.01141957 -0.01006418 -0.05362427 0.0281121 0.00991733]\n", "[ 0.01142058 -0.01006509 -0.05361976 0.02810919 0.00991479]\n", "[ 0.01142159 -0.01006599 -0.05361525 0.02810629 0.00991226]\n", "[ 0.01142261 -0.0100669 -0.05361073 0.02810338 0.00990973]\n", "[ 0.01142362 -0.0100678 -0.05360622 0.02810047 0.00990719]\n", "[ 0.01142463 -0.01006871 -0.05360171 0.02809756 0.00990466]\n", "[ 0.01142564 -0.01006961 -0.0535972 0.02809466 0.00990213]\n", "[ 0.01142665 -0.01007052 -0.05359269 0.02809175 0.0098996 ]\n", "[ 0.01142766 -0.01007142 -0.05358818 0.02808885 0.00989707]\n", "[ 0.01142868 -0.01007233 -0.05358368 0.02808594 0.00989453]\n", "[ 0.01142969 -0.01007323 -0.05357917 0.02808303 0.009892 ]\n", "[ 0.0114307 -0.01007413 -0.05357466 0.02808013 0.00988947]\n", "[ 0.01143171 -0.01007504 -0.05357015 0.02807723 0.00988694]\n", "[ 0.01143272 -0.01007594 -0.05356565 0.02807432 0.00988441]\n", "[ 0.01143373 -0.01007684 -0.05356114 0.02807142 0.00988188]\n", "[ 0.01143474 -0.01007775 -0.05355664 0.02806851 0.00987935]\n", "[ 0.01143575 -0.01007865 -0.05355213 0.02806561 0.00987683]\n", "[ 0.01143676 -0.01007955 -0.05354763 0.02806271 0.0098743 ]\n", "[ 0.01143777 -0.01008045 -0.05354312 0.02805981 0.00987177]\n", "[ 0.01143878 -0.01008136 -0.05353862 0.0280569 0.00986924]\n", "[ 0.01143978 -0.01008226 -0.05353412 0.028054 0.00986671]\n", "[ 0.01144079 -0.01008316 -0.05352961 0.0280511 0.00986419]\n", "[ 0.0114418 -0.01008406 -0.05352511 0.0280482 0.00986166]\n", "[ 0.01144281 -0.01008496 -0.05352061 0.0280453 0.00985913]\n", "[ 0.01144382 -0.01008587 -0.05351611 0.0280424 0.00985661]\n", "[ 0.01144483 -0.01008677 -0.05351161 0.0280395 0.00985408]\n", "[ 0.01144584 -0.01008767 -0.05350711 0.0280366 0.00985156]\n", "[ 0.01144684 -0.01008857 -0.05350261 0.0280337 0.00984903]\n", "[ 0.01144785 -0.01008947 -0.05349811 0.0280308 0.00984651]\n", "[ 0.01144886 -0.01009037 -0.05349361 0.02802791 0.00984398]\n", "[ 0.01144987 -0.01009127 -0.05348911 0.02802501 0.00984146]\n", "[ 0.01145087 -0.01009217 -0.05348462 0.02802211 0.00983894]\n", "[ 0.01145188 -0.01009307 -0.05348012 0.02801921 0.00983641]\n", "[ 0.01145289 -0.01009397 -0.05347562 0.02801632 0.00983389]\n", "[ 0.01145389 -0.01009487 -0.05347113 0.02801342 0.00983137]\n", "[ 0.0114549 -0.01009577 -0.05346663 0.02801052 0.00982885]\n", "[ 0.01145591 -0.01009667 -0.05346214 0.02800763 0.00982632]\n", "[ 0.01145691 -0.01009757 -0.05345764 0.02800473 0.0098238 ]\n", "[ 0.01145792 -0.01009847 -0.05345315 0.02800184 0.00982128]\n", "[ 0.01145892 -0.01009937 -0.05344866 0.02799894 0.00981876]\n", "[ 0.01145993 -0.01010026 -0.05344416 0.02799605 0.00981624]\n", "[ 0.01146093 -0.01010116 -0.05343967 0.02799315 0.00981372]\n", "[ 0.01146194 -0.01010206 -0.05343518 0.02799026 0.0098112 ]\n", "[ 0.01146294 -0.01010296 -0.05343069 0.02798737 0.00980868]\n", "[ 0.01146395 -0.01010386 -0.0534262 0.02798448 0.00980616]\n", "[ 0.01146495 -0.01010475 -0.05342171 0.02798158 0.00980364]\n", "[ 0.01146596 -0.01010565 -0.05341722 0.02797869 0.00980112]\n", "[ 0.01146696 -0.01010655 -0.05341273 0.0279758 0.00979861]\n", "[ 0.01146797 -0.01010745 -0.05340824 0.02797291 0.00979609]\n", "[ 0.01146897 -0.01010834 -0.05340375 0.02797002 0.00979357]\n", "[ 0.01146997 -0.01010924 -0.05339926 0.02796713 0.00979105]\n", "[ 0.01147098 -0.01011014 -0.05339478 0.02796424 0.00978854]\n", "[ 0.01147198 -0.01011103 -0.05339029 0.02796135 0.00978602]\n", "[ 0.01147298 -0.01011193 -0.0533858 0.02795846 0.0097835 ]\n", "[ 0.01147399 -0.01011283 -0.05338132 0.02795557 0.00978099]\n", "[ 0.01147499 -0.01011372 -0.05337683 0.02795268 0.00977847]\n", "[ 0.01147599 -0.01011462 -0.05337235 0.02794979 0.00977596]\n", "[ 0.01147699 -0.01011551 -0.05336786 0.0279469 0.00977344]\n", "[ 0.011478 -0.01011641 -0.05336338 0.02794402 0.00977093]\n", "[ 0.011479 -0.0101173 -0.0533589 0.02794113 0.00976841]\n", "[ 0.01148 -0.0101182 -0.05335441 0.02793824 0.0097659 ]\n", "[ 0.011481 -0.01011909 -0.05334993 0.02793535 0.00976339]\n", "[ 0.011482 -0.01011999 -0.05334545 0.02793247 0.00976087]\n", "[ 0.011483 -0.01012088 -0.05334097 0.02792958 0.00975836]\n", "[ 0.01148401 -0.01012178 -0.05333649 0.0279267 0.00975585]\n", "[ 0.01148501 -0.01012267 -0.05333201 0.02792381 0.00975334]\n", "[ 0.01148601 -0.01012356 -0.05332753 0.02792093 0.00975083]\n", "[ 0.01148701 -0.01012446 -0.05332305 0.02791804 0.00974831]\n", "[ 0.01148801 -0.01012535 -0.05331857 0.02791516 0.0097458 ]\n", "[ 0.01148901 -0.01012624 -0.05331409 0.02791227 0.00974329]\n", "[ 0.01149001 -0.01012714 -0.05330961 0.02790939 0.00974078]\n", "[ 0.01149101 -0.01012803 -0.05330514 0.02790651 0.00973827]\n", "[ 0.01149201 -0.01012892 -0.05330066 0.02790363 0.00973576]\n", "[ 0.01149301 -0.01012981 -0.05329618 0.02790074 0.00973325]\n", "[ 0.01149401 -0.01013071 -0.05329171 0.02789786 0.00973074]\n", "[ 0.01149501 -0.0101316 -0.05328723 0.02789498 0.00972824]\n", "[ 0.01149601 -0.01013249 -0.05328276 0.0278921 0.00972573]\n", "[ 0.011497 -0.01013338 -0.05327828 0.02788922 0.00972322]\n", "[ 0.011498 -0.01013427 -0.05327381 0.02788634 0.00972071]\n", "[ 0.011499 -0.01013517 -0.05326934 0.02788346 0.00971821]\n", "[ 0.0115 -0.01013606 -0.05326487 0.02788058 0.0097157 ]\n", "[ 0.011501 -0.01013695 -0.05326039 0.0278777 0.00971319]\n", "[ 0.011502 -0.01013784 -0.05325592 0.02787482 0.00971069]\n", "[ 0.01150299 -0.01013873 -0.05325145 0.02787194 0.00970818]\n", "[ 0.01150399 -0.01013962 -0.05324698 0.02786906 0.00970567]\n", "[ 0.01150499 -0.01014051 -0.05324251 0.02786619 0.00970317]\n", "[ 0.01150599 -0.0101414 -0.05323804 0.02786331 0.00970066]\n", "[ 0.01150698 -0.01014229 -0.05323357 0.02786043 0.00969816]\n", "[ 0.01150798 -0.01014318 -0.0532291 0.02785755 0.00969566]\n", "[ 0.01150898 -0.01014407 -0.05322463 0.02785468 0.00969315]\n", "[ 0.01150997 -0.01014496 -0.05322017 0.0278518 0.00969065]\n", "[ 0.01151097 -0.01014585 -0.0532157 0.02784893 0.00968815]\n", "[ 0.01151197 -0.01014674 -0.05321123 0.02784605 0.00968564]\n", "[ 0.01151296 -0.01014763 -0.05320677 0.02784318 0.00968314]\n", "[ 0.01151396 -0.01014852 -0.0532023 0.0278403 0.00968064]\n", "[ 0.01151495 -0.01014941 -0.05319784 0.02783743 0.00967814]\n", "[ 0.01151595 -0.01015029 -0.05319337 0.02783455 0.00967563]\n", "[ 0.01151694 -0.01015118 -0.05318891 0.02783168 0.00967313]\n", "[ 0.01151794 -0.01015207 -0.05318444 0.02782881 0.00967063]\n", "[ 0.01151893 -0.01015296 -0.05317998 0.02782593 0.00966813]\n", "[ 0.01151993 -0.01015385 -0.05317552 0.02782306 0.00966563]\n", "[ 0.01152092 -0.01015473 -0.05317106 0.02782019 0.00966313]\n", "[ 0.01152192 -0.01015562 -0.0531666 0.02781732 0.00966063]\n", "[ 0.01152291 -0.01015651 -0.05316213 0.02781445 0.00965813]\n", "[ 0.01152391 -0.01015739 -0.05315767 0.02781158 0.00965563]\n", "[ 0.0115249 -0.01015828 -0.05315321 0.02780871 0.00965314]\n", "[ 0.01152589 -0.01015917 -0.05314875 0.02780583 0.00965064]\n", "[ 0.01152689 -0.01016005 -0.0531443 0.02780296 0.00964814]\n", "[ 0.01152788 -0.01016094 -0.05313984 0.0278001 0.00964564]\n", "[ 0.01152887 -0.01016183 -0.05313538 0.02779723 0.00964315]\n", "[ 0.01152987 -0.01016271 -0.05313092 0.02779436 0.00964065]\n", "[ 0.01153086 -0.0101636 -0.05312646 0.02779149 0.00963815]\n", "[ 0.01153185 -0.01016448 -0.05312201 0.02778862 0.00963566]\n", "[ 0.01153284 -0.01016537 -0.05311755 0.02778575 0.00963316]\n", "[ 0.01153384 -0.01016625 -0.0531131 0.02778289 0.00963067]\n", "[ 0.01153483 -0.01016714 -0.05310864 0.02778002 0.00962817]\n", "[ 0.01153582 -0.01016802 -0.05310419 0.02777715 0.00962568]\n", "[ 0.01153681 -0.01016891 -0.05309973 0.02777429 0.00962318]\n", "[ 0.0115378 -0.01016979 -0.05309528 0.02777142 0.00962069]\n", "[ 0.01153879 -0.01017068 -0.05309083 0.02776855 0.00961819]\n", "[ 0.01153979 -0.01017156 -0.05308637 0.02776569 0.0096157 ]\n", "[ 0.01154078 -0.01017244 -0.05308192 0.02776282 0.00961321]\n", "[ 0.01154177 -0.01017333 -0.05307747 0.02775996 0.00961072]\n", "[ 0.01154276 -0.01017421 -0.05307302 0.0277571 0.00960822]\n", "[ 0.01154375 -0.0101751 -0.05306857 0.02775423 0.00960573]\n", "[ 0.01154474 -0.01017598 -0.05306412 0.02775137 0.00960324]\n", "[ 0.01154573 -0.01017686 -0.05305967 0.02774851 0.00960075]\n", "[ 0.01154672 -0.01017774 -0.05305522 0.02774564 0.00959826]\n", "[ 0.01154771 -0.01017863 -0.05305077 0.02774278 0.00959577]\n", "[ 0.0115487 -0.01017951 -0.05304632 0.02773992 0.00959328]\n", "[ 0.01154969 -0.01018039 -0.05304188 0.02773706 0.00959079]\n", "[ 0.01155068 -0.01018127 -0.05303743 0.0277342 0.0095883 ]\n", "[ 0.01155166 -0.01018216 -0.05303298 0.02773134 0.00958581]\n", "[ 0.01155265 -0.01018304 -0.05302854 0.02772847 0.00958332]\n", "[ 0.01155364 -0.01018392 -0.05302409 0.02772561 0.00958083]\n", "[ 0.01155463 -0.0101848 -0.05301965 0.02772275 0.00957834]\n", "[ 0.01155562 -0.01018568 -0.0530152 0.0277199 0.00957585]\n", "[ 0.01155661 -0.01018656 -0.05301076 0.02771704 0.00957337]\n", "[ 0.0115576 -0.01018744 -0.05300631 0.02771418 0.00957088]\n", "[ 0.01155858 -0.01018832 -0.05300187 0.02771132 0.00956839]\n", "[ 0.01155957 -0.0101892 -0.05299743 0.02770846 0.0095659 ]\n", "[ 0.01156056 -0.01019008 -0.05299299 0.0277056 0.00956342]\n", "[ 0.01156154 -0.01019097 -0.05298855 0.02770275 0.00956093]\n", "[ 0.01156253 -0.01019185 -0.05298411 0.02769989 0.00955845]\n", "[ 0.01156352 -0.01019272 -0.05297966 0.02769703 0.00955596]\n", "[ 0.01156451 -0.0101936 -0.05297522 0.02769418 0.00955348]\n", "[ 0.01156549 -0.01019448 -0.05297079 0.02769132 0.00955099]\n", "[ 0.01156648 -0.01019536 -0.05296635 0.02768847 0.00954851]\n", "[ 0.01156746 -0.01019624 -0.05296191 0.02768561 0.00954602]\n", "[ 0.01156845 -0.01019712 -0.05295747 0.02768276 0.00954354]\n", "[ 0.01156944 -0.010198 -0.05295303 0.0276799 0.00954106]\n", "[ 0.01157042 -0.01019888 -0.0529486 0.02767705 0.00953857]\n", "[ 0.01157141 -0.01019976 -0.05294416 0.02767419 0.00953609]\n", "[ 0.01157239 -0.01020063 -0.05293972 0.02767134 0.00953361]\n", "[ 0.01157338 -0.01020151 -0.05293529 0.02766849 0.00953113]\n", "[ 0.01157436 -0.01020239 -0.05293085 0.02766563 0.00952865]\n", "[ 0.01157535 -0.01020327 -0.05292642 0.02766278 0.00952616]\n", "[ 0.01157633 -0.01020415 -0.05292198 0.02765993 0.00952368]\n", "[ 0.01157732 -0.01020502 -0.05291755 0.02765708 0.0095212 ]\n", "[ 0.0115783 -0.0102059 -0.05291312 0.02765423 0.00951872]\n", "[ 0.01157928 -0.01020678 -0.05290869 0.02765138 0.00951624]\n", "[ 0.01158027 -0.01020765 -0.05290425 0.02764853 0.00951376]\n", "[ 0.01158125 -0.01020853 -0.05289982 0.02764568 0.00951128]\n", "[ 0.01158223 -0.01020941 -0.05289539 0.02764283 0.00950881]\n", "[ 0.01158322 -0.01021028 -0.05289096 0.02763998 0.00950633]\n", "[ 0.0115842 -0.01021116 -0.05288653 0.02763713 0.00950385]\n", "[ 0.01158518 -0.01021203 -0.0528821 0.02763428 0.00950137]\n", "[ 0.01158617 -0.01021291 -0.05287767 0.02763143 0.00949889]\n", "[ 0.01158715 -0.01021379 -0.05287324 0.02762858 0.00949642]\n", "[ 0.01158813 -0.01021466 -0.05286882 0.02762574 0.00949394]\n", "[ 0.01158911 -0.01021554 -0.05286439 0.02762289 0.00949146]\n", "[ 0.0115901 -0.01021641 -0.05285996 0.02762004 0.00948899]\n", "[ 0.01159108 -0.01021729 -0.05285553 0.0276172 0.00948651]\n", "[ 0.01159206 -0.01021816 -0.05285111 0.02761435 0.00948404]\n", "[ 0.01159304 -0.01021903 -0.05284668 0.0276115 0.00948156]\n", "[ 0.01159402 -0.01021991 -0.05284226 0.02760866 0.00947909]\n", "[ 0.011595 -0.01022078 -0.05283783 0.02760581 0.00947661]\n", "[ 0.01159598 -0.01022166 -0.05283341 0.02760297 0.00947414]\n", "[ 0.01159696 -0.01022253 -0.05282899 0.02760012 0.00947166]\n", "[ 0.01159795 -0.0102234 -0.05282456 0.02759728 0.00946919]\n", "[ 0.01159893 -0.01022428 -0.05282014 0.02759444 0.00946672]\n", "[ 0.01159991 -0.01022515 -0.05281572 0.02759159 0.00946424]\n", "[ 0.01160089 -0.01022602 -0.0528113 0.02758875 0.00946177]\n", "[ 0.01160187 -0.0102269 -0.05280688 0.02758591 0.0094593 ]\n", "[ 0.01160285 -0.01022777 -0.05280246 0.02758307 0.00945683]\n", "[ 0.01160383 -0.01022864 -0.05279804 0.02758022 0.00945436]\n", "[ 0.0116048 -0.01022951 -0.05279362 0.02757738 0.00945188]\n", "[ 0.01160578 -0.01023039 -0.0527892 0.02757454 0.00944941]\n", "[ 0.01160676 -0.01023126 -0.05278478 0.0275717 0.00944694]\n", "[ 0.01160774 -0.01023213 -0.05278036 0.02756886 0.00944447]\n", "[ 0.01160872 -0.010233 -0.05277594 0.02756602 0.009442 ]\n", "[ 0.0116097 -0.01023387 -0.05277153 0.02756318 0.00943953]\n", "[ 0.01161068 -0.01023474 -0.05276711 0.02756034 0.00943706]\n", "[ 0.01161165 -0.01023562 -0.05276269 0.0275575 0.00943459]\n", "[ 0.01161263 -0.01023649 -0.05275828 0.02755466 0.00943213]\n", "[ 0.01161361 -0.01023736 -0.05275386 0.02755183 0.00942966]\n", "[ 0.01161459 -0.01023823 -0.05274945 0.02754899 0.00942719]\n", "[ 0.01161557 -0.0102391 -0.05274504 0.02754615 0.00942472]\n", "[ 0.01161654 -0.01023997 -0.05274062 0.02754331 0.00942226]\n", "[ 0.01161752 -0.01024084 -0.05273621 0.02754048 0.00941979]\n", "[ 0.0116185 -0.01024171 -0.0527318 0.02753764 0.00941732]\n", "[ 0.01161947 -0.01024258 -0.05272738 0.0275348 0.00941486]\n", "[ 0.01162045 -0.01024345 -0.05272297 0.02753197 0.00941239]\n", "[ 0.01162143 -0.01024432 -0.05271856 0.02752913 0.00940992]\n", "[ 0.0116224 -0.01024519 -0.05271415 0.0275263 0.00940746]\n", "[ 0.01162338 -0.01024605 -0.05270974 0.02752346 0.00940499]\n", "[ 0.01162435 -0.01024692 -0.05270533 0.02752063 0.00940253]\n", "[ 0.01162533 -0.01024779 -0.05270092 0.02751779 0.00940007]\n", "[ 0.0116263 -0.01024866 -0.05269651 0.02751496 0.0093976 ]\n", "[ 0.01162728 -0.01024953 -0.05269211 0.02751213 0.00939514]\n", "[ 0.01162825 -0.0102504 -0.0526877 0.02750929 0.00939268]\n", "[ 0.01162923 -0.01025126 -0.05268329 0.02750646 0.00939021]\n", "[ 0.0116302 -0.01025213 -0.05267889 0.02750363 0.00938775]\n", "[ 0.01163118 -0.010253 -0.05267448 0.0275008 0.00938529]\n", "[ 0.01163215 -0.01025387 -0.05267007 0.02749797 0.00938283]\n", "[ 0.01163313 -0.01025473 -0.05266567 0.02749513 0.00938036]\n", "[ 0.0116341 -0.0102556 -0.05266126 0.0274923 0.0093779 ]\n", "[ 0.01163507 -0.01025647 -0.05265686 0.02748947 0.00937544]\n", "[ 0.01163605 -0.01025733 -0.05265246 0.02748664 0.00937298]\n", "[ 0.01163702 -0.0102582 -0.05264805 0.02748381 0.00937052]\n", "[ 0.011638 -0.01025907 -0.05264365 0.02748098 0.00936806]\n", "[ 0.01163897 -0.01025993 -0.05263925 0.02747815 0.0093656 ]\n", "[ 0.01163994 -0.0102608 -0.05263485 0.02747533 0.00936314]\n", "[ 0.01164091 -0.01026166 -0.05263045 0.0274725 0.00936068]\n", "[ 0.01164189 -0.01026253 -0.05262605 0.02746967 0.00935823]\n", "[ 0.01164286 -0.0102634 -0.05262165 0.02746684 0.00935577]\n", "[ 0.01164383 -0.01026426 -0.05261725 0.02746402 0.00935331]\n", "[ 0.0116448 -0.01026513 -0.05261285 0.02746119 0.00935085]\n", "[ 0.01164577 -0.01026599 -0.05260845 0.02745836 0.0093484 ]\n", "[ 0.01164675 -0.01026686 -0.05260405 0.02745554 0.00934594]\n", "[ 0.01164772 -0.01026772 -0.05259965 0.02745271 0.00934348]\n", "[ 0.01164869 -0.01026858 -0.05259526 0.02744988 0.00934103]\n", "[ 0.01164966 -0.01026945 -0.05259086 0.02744706 0.00933857]\n", "[ 0.01165063 -0.01027031 -0.05258646 0.02744423 0.00933611]\n", "[ 0.0116516 -0.01027118 -0.05258207 0.02744141 0.00933366]\n", "[ 0.01165257 -0.01027204 -0.05257767 0.02743859 0.0093312 ]\n", "[ 0.01165354 -0.0102729 -0.05257328 0.02743576 0.00932875]\n", "[ 0.01165451 -0.01027377 -0.05256888 0.02743294 0.0093263 ]\n", "[ 0.01165548 -0.01027463 -0.05256449 0.02743012 0.00932384]\n", "[ 0.01165645 -0.01027549 -0.0525601 0.02742729 0.00932139]\n", "[ 0.01165742 -0.01027636 -0.0525557 0.02742447 0.00931893]\n", "[ 0.01165839 -0.01027722 -0.05255131 0.02742165 0.00931648]\n", "[ 0.01165936 -0.01027808 -0.05254692 0.02741883 0.00931403]\n", "[ 0.01166033 -0.01027894 -0.05254253 0.02741601 0.00931158]\n", "[ 0.0116613 -0.01027981 -0.05253814 0.02741319 0.00930913]\n", "[ 0.01166227 -0.01028067 -0.05253375 0.02741036 0.00930667]\n", "[ 0.01166324 -0.01028153 -0.05252936 0.02740754 0.00930422]\n", "[ 0.01166421 -0.01028239 -0.05252497 0.02740472 0.00930177]\n", "[ 0.01166517 -0.01028325 -0.05252058 0.02740191 0.00929932]\n", "[ 0.01166614 -0.01028411 -0.05251619 0.02739909 0.00929687]\n", "[ 0.01166711 -0.01028497 -0.0525118 0.02739627 0.00929442]\n", "[ 0.01166808 -0.01028583 -0.05250742 0.02739345 0.00929197]\n", "[ 0.01166905 -0.0102867 -0.05250303 0.02739063 0.00928952]\n", "[ 0.01167001 -0.01028756 -0.05249864 0.02738781 0.00928707]\n", "[ 0.01167098 -0.01028842 -0.05249426 0.027385 0.00928462]\n", "[ 0.01167195 -0.01028928 -0.05248987 0.02738218 0.00928218]\n", "[ 0.01167291 -0.01029014 -0.05248549 0.02737936 0.00927973]\n", "[ 0.01167388 -0.010291 -0.0524811 0.02737655 0.00927728]\n", "[ 0.01167485 -0.01029186 -0.05247672 0.02737373 0.00927483]\n", "[ 0.01167581 -0.01029271 -0.05247234 0.02737091 0.00927239]\n", "[ 0.01167678 -0.01029357 -0.05246795 0.0273681 0.00926994]\n", "[ 0.01167775 -0.01029443 -0.05246357 0.02736528 0.00926749]\n", "[ 0.01167871 -0.01029529 -0.05245919 0.02736247 0.00926505]\n", "[ 0.01167968 -0.01029615 -0.05245481 0.02735966 0.0092626 ]\n", "[ 0.01168064 -0.01029701 -0.05245043 0.02735684 0.00926016]\n", "[ 0.01168161 -0.01029787 -0.05244605 0.02735403 0.00925771]\n", "[ 0.01168257 -0.01029873 -0.05244167 0.02735122 0.00925527]\n", "[ 0.01168354 -0.01029958 -0.05243729 0.0273484 0.00925282]\n", "[ 0.0116845 -0.01030044 -0.05243291 0.02734559 0.00925038]\n", "[ 0.01168547 -0.0103013 -0.05242853 0.02734278 0.00924794]\n", "[ 0.01168643 -0.01030216 -0.05242415 0.02733997 0.00924549]\n", "[ 0.01168739 -0.01030301 -0.05241978 0.02733716 0.00924305]\n", "[ 0.01168836 -0.01030387 -0.0524154 0.02733434 0.00924061]\n", "[ 0.01168932 -0.01030473 -0.05241102 0.02733153 0.00923816]\n", "[ 0.01169029 -0.01030559 -0.05240665 0.02732872 0.00923572]\n", "[ 0.01169125 -0.01030644 -0.05240227 0.02732591 0.00923328]\n", "[ 0.01169221 -0.0103073 -0.0523979 0.0273231 0.00923084]\n", "[ 0.01169318 -0.01030815 -0.05239352 0.0273203 0.0092284 ]\n", "[ 0.01169414 -0.01030901 -0.05238915 0.02731749 0.00922596]\n", "[ 0.0116951 -0.01030987 -0.05238478 0.02731468 0.00922352]\n", "[ 0.01169606 -0.01031072 -0.0523804 0.02731187 0.00922108]\n", "[ 0.01169703 -0.01031158 -0.05237603 0.02730906 0.00921864]\n", "[ 0.01169799 -0.01031243 -0.05237166 0.02730625 0.0092162 ]\n", "[ 0.01169895 -0.01031329 -0.05236729 0.02730345 0.00921376]\n", "[ 0.01169991 -0.01031414 -0.05236292 0.02730064 0.00921132]\n", "[ 0.01170087 -0.010315 -0.05235855 0.02729783 0.00920888]\n", "[ 0.01170184 -0.01031585 -0.05235418 0.02729503 0.00920644]\n", "[ 0.0117028 -0.01031671 -0.05234981 0.02729222 0.00920401]\n", "[ 0.01170376 -0.01031756 -0.05234544 0.02728942 0.00920157]\n", "[ 0.01170472 -0.01031842 -0.05234107 0.02728661 0.00919913]\n", "[ 0.01170568 -0.01031927 -0.0523367 0.02728381 0.0091967 ]\n", "[ 0.01170664 -0.01032012 -0.05233233 0.027281 0.00919426]\n", "[ 0.0117076 -0.01032098 -0.05232797 0.0272782 0.00919182]\n", "[ 0.01170856 -0.01032183 -0.0523236 0.0272754 0.00918939]\n", "[ 0.01170952 -0.01032269 -0.05231923 0.02727259 0.00918695]\n", "[ 0.01171048 -0.01032354 -0.05231487 0.02726979 0.00918452]\n", "[ 0.01171144 -0.01032439 -0.0523105 0.02726699 0.00918208]\n", "[ 0.0117124 -0.01032524 -0.05230614 0.02726419 0.00917965]\n", "[ 0.01171336 -0.0103261 -0.05230178 0.02726138 0.00917721]\n", "[ 0.01171432 -0.01032695 -0.05229741 0.02725858 0.00917478]\n", "[ 0.01171528 -0.0103278 -0.05229305 0.02725578 0.00917235]\n", "[ 0.01171624 -0.01032865 -0.05228869 0.02725298 0.00916991]\n", "[ 0.0117172 -0.01032951 -0.05228432 0.02725018 0.00916748]\n", "[ 0.01171815 -0.01033036 -0.05227996 0.02724738 0.00916505]\n", "[ 0.01171911 -0.01033121 -0.0522756 0.02724458 0.00916262]\n", "[ 0.01172007 -0.01033206 -0.05227124 0.02724178 0.00916018]\n", "[ 0.01172103 -0.01033291 -0.05226688 0.02723898 0.00915775]\n", "[ 0.01172199 -0.01033376 -0.05226252 0.02723618 0.00915532]\n", "[ 0.01172294 -0.01033461 -0.05225816 0.02723338 0.00915289]\n", "[ 0.0117239 -0.01033546 -0.0522538 0.02723059 0.00915046]\n", "[ 0.01172486 -0.01033631 -0.05224945 0.02722779 0.00914803]\n", "[ 0.01172582 -0.01033717 -0.05224509 0.02722499 0.0091456 ]\n", "[ 0.01172677 -0.01033802 -0.05224073 0.02722219 0.00914317]\n", "[ 0.01172773 -0.01033887 -0.05223638 0.0272194 0.00914074]\n", "[ 0.01172869 -0.01033972 -0.05223202 0.0272166 0.00913831]\n", "[ 0.01172964 -0.01034057 -0.05222766 0.02721381 0.00913588]\n", "[ 0.0117306 -0.01034141 -0.05222331 0.02721101 0.00913346]\n", "[ 0.01173155 -0.01034226 -0.05221895 0.02720822 0.00913103]\n", "[ 0.01173251 -0.01034311 -0.0522146 0.02720542 0.0091286 ]\n", "[ 0.01173347 -0.01034396 -0.05221025 0.02720263 0.00912617]\n", "[ 0.01173442 -0.01034481 -0.05220589 0.02719983 0.00912375]\n", "[ 0.01173538 -0.01034566 -0.05220154 0.02719704 0.00912132]\n", "[ 0.01173633 -0.01034651 -0.05219719 0.02719425 0.00911889]\n", "[ 0.01173729 -0.01034736 -0.05219284 0.02719145 0.00911647]\n", "[ 0.01173824 -0.0103482 -0.05218848 0.02718866 0.00911404]\n", "[ 0.0117392 -0.01034905 -0.05218413 0.02718587 0.00911162]\n", "[ 0.01174015 -0.0103499 -0.05217978 0.02718307 0.00910919]\n", "[ 0.0117411 -0.01035075 -0.05217543 0.02718028 0.00910677]\n", "[ 0.01174206 -0.0103516 -0.05217108 0.02717749 0.00910434]\n", "[ 0.01174301 -0.01035244 -0.05216674 0.0271747 0.00910192]\n", "[ 0.01174397 -0.01035329 -0.05216239 0.02717191 0.0090995 ]\n", "[ 0.01174492 -0.01035414 -0.05215804 0.02716912 0.00909707]\n", "[ 0.01174587 -0.01035498 -0.05215369 0.02716633 0.00909465]\n", "[ 0.01174683 -0.01035583 -0.05214935 0.02716354 0.00909223]\n", "[ 0.01174778 -0.01035668 -0.052145 0.02716075 0.0090898 ]\n", "[ 0.01174873 -0.01035752 -0.05214065 0.02715796 0.00908738]\n", "[ 0.01174968 -0.01035837 -0.05213631 0.02715517 0.00908496]\n", "[ 0.01175064 -0.01035921 -0.05213196 0.02715239 0.00908254]\n", "[ 0.01175159 -0.01036006 -0.05212762 0.0271496 0.00908012]\n", "[ 0.01175254 -0.01036091 -0.05212328 0.02714681 0.0090777 ]\n", "[ 0.01175349 -0.01036175 -0.05211893 0.02714402 0.00907528]\n", "[ 0.01175444 -0.0103626 -0.05211459 0.02714124 0.00907286]\n", "[ 0.0117554 -0.01036344 -0.05211025 0.02713845 0.00907044]\n", "[ 0.01175635 -0.01036429 -0.0521059 0.02713566 0.00906802]\n", "[ 0.0117573 -0.01036513 -0.05210156 0.02713288 0.0090656 ]\n", "[ 0.01175825 -0.01036598 -0.05209722 0.02713009 0.00906318]\n", "[ 0.0117592 -0.01036682 -0.05209288 0.02712731 0.00906076]\n", "[ 0.01176015 -0.01036766 -0.05208854 0.02712452 0.00905834]\n", "[ 0.0117611 -0.01036851 -0.0520842 0.02712174 0.00905593]\n", "[ 0.01176205 -0.01036935 -0.05207986 0.02711896 0.00905351]\n", "[ 0.011763 -0.0103702 -0.05207553 0.02711617 0.00905109]\n", "[ 0.01176395 -0.01037104 -0.05207119 0.02711339 0.00904868]\n", "[ 0.0117649 -0.01037188 -0.05206685 0.02711061 0.00904626]\n", "[ 0.01176585 -0.01037273 -0.05206251 0.02710782 0.00904384]\n", "[ 0.0117668 -0.01037357 -0.05205818 0.02710504 0.00904143]\n", "[ 0.01176775 -0.01037441 -0.05205384 0.02710226 0.00903901]\n", "[ 0.0117687 -0.01037525 -0.0520495 0.02709948 0.0090366 ]\n", "[ 0.01176965 -0.0103761 -0.05204517 0.0270967 0.00903418]\n", "[ 0.0117706 -0.01037694 -0.05204083 0.02709392 0.00903177]\n", "[ 0.01177155 -0.01037778 -0.0520365 0.02709113 0.00902935]\n", "[ 0.01177249 -0.01037862 -0.05203217 0.02708835 0.00902694]\n", "[ 0.01177344 -0.01037946 -0.05202783 0.02708558 0.00902453]\n", "[ 0.01177439 -0.01038031 -0.0520235 0.0270828 0.00902211]\n", "[ 0.01177534 -0.01038115 -0.05201917 0.02708002 0.0090197 ]\n", "[ 0.01177629 -0.01038199 -0.05201484 0.02707724 0.00901729]\n", "[ 0.01177723 -0.01038283 -0.05201051 0.02707446 0.00901488]\n", "[ 0.01177818 -0.01038367 -0.05200618 0.02707168 0.00901246]\n", "[ 0.01177913 -0.01038451 -0.05200185 0.0270689 0.00901005]\n", "[ 0.01178007 -0.01038535 -0.05199752 0.02706613 0.00900764]\n", "[ 0.01178102 -0.01038619 -0.05199319 0.02706335 0.00900523]\n", "[ 0.01178197 -0.01038703 -0.05198886 0.02706057 0.00900282]\n", "[ 0.01178291 -0.01038787 -0.05198453 0.0270578 0.00900041]\n", "[ 0.01178386 -0.01038871 -0.0519802 0.02705502 0.008998 ]\n", "[ 0.01178481 -0.01038955 -0.05197588 0.02705224 0.00899559]\n", "[ 0.01178575 -0.01039039 -0.05197155 0.02704947 0.00899318]\n", "[ 0.0117867 -0.01039123 -0.05196722 0.02704669 0.00899077]\n", "[ 0.01178764 -0.01039207 -0.0519629 0.02704392 0.00898836]\n", "[ 0.01178859 -0.01039291 -0.05195857 0.02704115 0.00898595]\n", "[ 0.01178953 -0.01039375 -0.05195425 0.02703837 0.00898355]\n", "[ 0.01179048 -0.01039459 -0.05194992 0.0270356 0.00898114]\n", "[ 0.01179142 -0.01039542 -0.0519456 0.02703283 0.00897873]\n", "[ 0.01179237 -0.01039626 -0.05194127 0.02703005 0.00897633]\n", "[ 0.01179331 -0.0103971 -0.05193695 0.02702728 0.00897392]\n", "[ 0.01179426 -0.01039794 -0.05193263 0.02702451 0.00897151]\n", "[ 0.0117952 -0.01039878 -0.05192831 0.02702174 0.00896911]\n", "[ 0.01179615 -0.01039961 -0.05192399 0.02701896 0.0089667 ]\n", "[ 0.01179709 -0.01040045 -0.05191967 0.02701619 0.0089643 ]\n", "[ 0.01179803 -0.01040129 -0.05191535 0.02701342 0.00896189]\n", "[ 0.01179898 -0.01040213 -0.05191103 0.02701065 0.00895949]\n", "[ 0.01179992 -0.01040296 -0.05190671 0.02700788 0.00895708]\n", "[ 0.01180086 -0.0104038 -0.05190239 0.02700511 0.00895468]\n", "[ 0.01180181 -0.01040464 -0.05189807 0.02700234 0.00895227]\n", "[ 0.01180275 -0.01040547 -0.05189375 0.02699957 0.00894987]\n", "[ 0.01180369 -0.01040631 -0.05188943 0.02699681 0.00894747]\n", "[ 0.01180463 -0.01040715 -0.05188512 0.02699404 0.00894506]\n", "[ 0.01180558 -0.01040798 -0.0518808 0.02699127 0.00894266]\n", "[ 0.01180652 -0.01040882 -0.05187648 0.0269885 0.00894026]\n", "[ 0.01180746 -0.01040965 -0.05187217 0.02698573 0.00893786]\n", "[ 0.0118084 -0.01041049 -0.05186785 0.02698297 0.00893546]\n", "[ 0.01180934 -0.01041132 -0.05186354 0.0269802 0.00893305]\n", "[ 0.01181028 -0.01041216 -0.05185922 0.02697743 0.00893065]\n", "[ 0.01181122 -0.01041299 -0.05185491 0.02697467 0.00892825]\n", "[ 0.01181217 -0.01041383 -0.0518506 0.0269719 0.00892585]\n", "[ 0.01181311 -0.01041466 -0.05184628 0.02696914 0.00892345]\n", "[ 0.01181405 -0.0104155 -0.05184197 0.02696637 0.00892105]\n", "[ 0.01181499 -0.01041633 -0.05183766 0.02696361 0.00891865]\n", "[ 0.01181593 -0.01041717 -0.05183335 0.02696084 0.00891626]\n", "[ 0.01181687 -0.010418 -0.05182904 0.02695808 0.00891386]\n", "[ 0.01181781 -0.01041883 -0.05182473 0.02695532 0.00891146]\n", "[ 0.01181875 -0.01041967 -0.05182042 0.02695255 0.00890906]\n", "[ 0.01181969 -0.0104205 -0.05181611 0.02694979 0.00890666]\n", "[ 0.01182063 -0.01042133 -0.0518118 0.02694703 0.00890427]\n", "[ 0.01182157 -0.01042217 -0.05180749 0.02694427 0.00890187]\n", "[ 0.0118225 -0.010423 -0.05180319 0.0269415 0.00889947]\n", "[ 0.01182344 -0.01042383 -0.05179888 0.02693874 0.00889708]\n", "[ 0.01182438 -0.01042466 -0.05179457 0.02693598 0.00889468]\n", "[ 0.01182532 -0.0104255 -0.05179027 0.02693322 0.00889228]\n", "[ 0.01182626 -0.01042633 -0.05178596 0.02693046 0.00888989]\n", "[ 0.0118272 -0.01042716 -0.05178165 0.0269277 0.00888749]\n", "[ 0.01182813 -0.01042799 -0.05177735 0.02692494 0.0088851 ]\n", "[ 0.01182907 -0.01042882 -0.05177305 0.02692218 0.00888271]\n", "[ 0.01183001 -0.01042966 -0.05176874 0.02691942 0.00888031]\n", "[ 0.01183095 -0.01043049 -0.05176444 0.02691666 0.00887792]\n", "[ 0.01183188 -0.01043132 -0.05176013 0.02691391 0.00887552]\n", "[ 0.01183282 -0.01043215 -0.05175583 0.02691115 0.00887313]\n", "[ 0.01183376 -0.01043298 -0.05175153 0.02690839 0.00887074]\n", "[ 0.0118347 -0.01043381 -0.05174723 0.02690563 0.00886835]\n", "[ 0.01183563 -0.01043464 -0.05174293 0.02690288 0.00886595]\n", "[ 0.01183657 -0.01043547 -0.05173863 0.02690012 0.00886356]\n", "[ 0.0118375 -0.0104363 -0.05173433 0.02689736 0.00886117]\n", "[ 0.01183844 -0.01043713 -0.05173003 0.02689461 0.00885878]\n", "[ 0.01183938 -0.01043796 -0.05172573 0.02689185 0.00885639]\n", "[ 0.01184031 -0.01043879 -0.05172143 0.0268891 0.008854 ]\n", "[ 0.01184125 -0.01043962 -0.05171713 0.02688634 0.00885161]\n", "[ 0.01184218 -0.01044045 -0.05171284 0.02688359 0.00884922]\n", "[ 0.01184312 -0.01044128 -0.05170854 0.02688083 0.00884683]\n", "[ 0.01184405 -0.01044211 -0.05170424 0.02687808 0.00884444]\n", "[ 0.01184499 -0.01044294 -0.05169995 0.02687533 0.00884205]\n", "[ 0.01184592 -0.01044376 -0.05169565 0.02687257 0.00883966]\n", "[ 0.01184686 -0.01044459 -0.05169135 0.02686982 0.00883727]\n", "[ 0.01184779 -0.01044542 -0.05168706 0.02686707 0.00883489]\n", "[ 0.01184872 -0.01044625 -0.05168277 0.02686432 0.0088325 ]\n", "[ 0.01184966 -0.01044708 -0.05167847 0.02686156 0.00883011]\n", "[ 0.01185059 -0.01044791 -0.05167418 0.02685881 0.00882772]\n", "[ 0.01185153 -0.01044873 -0.05166989 0.02685606 0.00882534]\n", "[ 0.01185246 -0.01044956 -0.05166559 0.02685331 0.00882295]\n", "[ 0.01185339 -0.01045039 -0.0516613 0.02685056 0.00882057]\n", "[ 0.01185433 -0.01045121 -0.05165701 0.02684781 0.00881818]\n", "[ 0.01185526 -0.01045204 -0.05165272 0.02684506 0.00881579]\n", "[ 0.01185619 -0.01045287 -0.05164843 0.02684231 0.00881341]\n", "[ 0.01185712 -0.01045369 -0.05164414 0.02683956 0.00881102]\n", "[ 0.01185806 -0.01045452 -0.05163985 0.02683681 0.00880864]\n", "[ 0.01185899 -0.01045535 -0.05163556 0.02683407 0.00880626]\n", "[ 0.01185992 -0.01045617 -0.05163127 0.02683132 0.00880387]\n", "[ 0.01186085 -0.010457 -0.05162699 0.02682857 0.00880149]\n", "[ 0.01186178 -0.01045783 -0.0516227 0.02682582 0.00879911]\n", "[ 0.01186271 -0.01045865 -0.05161841 0.02682308 0.00879672]\n", "[ 0.01186365 -0.01045948 -0.05161413 0.02682033 0.00879434]\n", "[ 0.01186458 -0.0104603 -0.05160984 0.02681758 0.00879196]\n", "[ 0.01186551 -0.01046113 -0.05160555 0.02681484 0.00878958]\n", "[ 0.01186644 -0.01046195 -0.05160127 0.02681209 0.0087872 ]\n", "[ 0.01186737 -0.01046278 -0.05159698 0.02680935 0.00878481]\n", "[ 0.0118683 -0.0104636 -0.0515927 0.0268066 0.00878243]\n", "[ 0.01186923 -0.01046442 -0.05158842 0.02680386 0.00878005]\n", "[ 0.01187016 -0.01046525 -0.05158413 0.02680111 0.00877767]\n", "[ 0.01187109 -0.01046607 -0.05157985 0.02679837 0.00877529]\n", "[ 0.01187202 -0.0104669 -0.05157557 0.02679563 0.00877291]\n", "[ 0.01187295 -0.01046772 -0.05157129 0.02679288 0.00877053]\n", "[ 0.01187388 -0.01046854 -0.05156701 0.02679014 0.00876815]\n", "[ 0.01187481 -0.01046937 -0.05156273 0.0267874 0.00876578]\n", "[ 0.01187574 -0.01047019 -0.05155845 0.02678465 0.0087634 ]\n", "[ 0.01187667 -0.01047101 -0.05155417 0.02678191 0.00876102]\n", "[ 0.01187759 -0.01047184 -0.05154989 0.02677917 0.00875864]\n", "[ 0.01187852 -0.01047266 -0.05154561 0.02677643 0.00875627]\n", "[ 0.01187945 -0.01047348 -0.05154133 0.02677369 0.00875389]\n", "[ 0.01188038 -0.0104743 -0.05153705 0.02677095 0.00875151]\n", "[ 0.01188131 -0.01047513 -0.05153278 0.02676821 0.00874914]\n", "[ 0.01188223 -0.01047595 -0.0515285 0.02676547 0.00874676]\n", "[ 0.01188316 -0.01047677 -0.05152422 0.02676273 0.00874438]\n", "[ 0.01188409 -0.01047759 -0.05151995 0.02675999 0.00874201]\n", "[ 0.01188502 -0.01047841 -0.05151567 0.02675725 0.00873963]\n", "[ 0.01188594 -0.01047923 -0.0515114 0.02675451 0.00873726]\n", "[ 0.01188687 -0.01048006 -0.05150712 0.02675178 0.00873488]\n", "[ 0.0118878 -0.01048088 -0.05150285 0.02674904 0.00873251]\n", "[ 0.01188872 -0.0104817 -0.05149857 0.0267463 0.00873014]\n", "[ 0.01188965 -0.01048252 -0.0514943 0.02674356 0.00872776]\n", "[ 0.01189058 -0.01048334 -0.05149003 0.02674083 0.00872539]\n", "[ 0.0118915 -0.01048416 -0.05148576 0.02673809 0.00872302]\n", "[ 0.01189243 -0.01048498 -0.05148149 0.02673535 0.00872064]\n", "[ 0.01189335 -0.0104858 -0.05147721 0.02673262 0.00871827]\n", "[ 0.01189428 -0.01048662 -0.05147294 0.02672988 0.0087159 ]\n", "[ 0.0118952 -0.01048744 -0.05146867 0.02672715 0.00871353]\n", "[ 0.01189613 -0.01048826 -0.0514644 0.02672441 0.00871116]\n", "[ 0.01189705 -0.01048908 -0.05146014 0.02672168 0.00870879]\n", "[ 0.01189798 -0.0104899 -0.05145587 0.02671895 0.00870642]\n", "[ 0.0118989 -0.01049072 -0.0514516 0.02671621 0.00870405]\n", "[ 0.01189983 -0.01049153 -0.05144733 0.02671348 0.00870168]\n", "[ 0.01190075 -0.01049235 -0.05144306 0.02671075 0.00869931]\n", "[ 0.01190168 -0.01049317 -0.0514388 0.02670801 0.00869694]\n", "[ 0.0119026 -0.01049399 -0.05143453 0.02670528 0.00869457]\n", "[ 0.01190352 -0.01049481 -0.05143027 0.02670255 0.0086922 ]\n", "[ 0.01190445 -0.01049563 -0.051426 0.02669982 0.00868983]\n", "[ 0.01190537 -0.01049644 -0.05142174 0.02669709 0.00868746]\n", "[ 0.01190629 -0.01049726 -0.05141747 0.02669436 0.00868509]\n", "[ 0.01190722 -0.01049808 -0.05141321 0.02669163 0.00868273]\n", "[ 0.01190814 -0.0104989 -0.05140894 0.0266889 0.00868036]\n", "[ 0.01190906 -0.01049971 -0.05140468 0.02668617 0.00867799]\n", "[ 0.01190999 -0.01050053 -0.05140042 0.02668344 0.00867563]\n", "[ 0.01191091 -0.01050135 -0.05139616 0.02668071 0.00867326]\n", "[ 0.01191183 -0.01050216 -0.0513919 0.02667798 0.00867089]\n", "[ 0.01191275 -0.01050298 -0.05138764 0.02667525 0.00866853]\n", "[ 0.01191367 -0.0105038 -0.05138338 0.02667252 0.00866616]\n", "[ 0.0119146 -0.01050461 -0.05137912 0.02666979 0.0086638 ]\n", "[ 0.01191552 -0.01050543 -0.05137486 0.02666707 0.00866143]\n", "[ 0.01191644 -0.01050624 -0.0513706 0.02666434 0.00865907]\n", "[ 0.01191736 -0.01050706 -0.05136634 0.02666161 0.00865671]\n", "[ 0.01191828 -0.01050788 -0.05136208 0.02665889 0.00865434]\n", "[ 0.0119192 -0.01050869 -0.05135782 0.02665616 0.00865198]\n", "[ 0.01192012 -0.01050951 -0.05135357 0.02665343 0.00864962]\n", "[ 0.01192104 -0.01051032 -0.05134931 0.02665071 0.00864725]\n", "[ 0.01192196 -0.01051114 -0.05134505 0.02664798 0.00864489]\n", "[ 0.01192288 -0.01051195 -0.0513408 0.02664526 0.00864253]\n", "[ 0.0119238 -0.01051276 -0.05133654 0.02664253 0.00864017]\n", "[ 0.01192472 -0.01051358 -0.05133229 0.02663981 0.00863781]\n", "[ 0.01192564 -0.01051439 -0.05132803 0.02663709 0.00863545]\n", "[ 0.01192656 -0.01051521 -0.05132378 0.02663436 0.00863308]\n", "[ 0.01192748 -0.01051602 -0.05131953 0.02663164 0.00863072]\n", "[ 0.0119284 -0.01051683 -0.05131527 0.02662892 0.00862836]\n", "[ 0.01192932 -0.01051765 -0.05131102 0.0266262 0.008626 ]\n", "[ 0.01193024 -0.01051846 -0.05130677 0.02662347 0.00862365]\n", "[ 0.01193115 -0.01051927 -0.05130252 0.02662075 0.00862129]\n", "[ 0.01193207 -0.01052009 -0.05129827 0.02661803 0.00861893]\n", "[ 0.01193299 -0.0105209 -0.05129402 0.02661531 0.00861657]\n", "[ 0.01193391 -0.01052171 -0.05128977 0.02661259 0.00861421]\n", "[ 0.01193483 -0.01052253 -0.05128552 0.02660987 0.00861185]\n", "[ 0.01193574 -0.01052334 -0.05128127 0.02660715 0.0086095 ]\n", "[ 0.01193666 -0.01052415 -0.05127702 0.02660443 0.00860714]\n", "[ 0.01193758 -0.01052496 -0.05127277 0.02660171 0.00860478]\n", "[ 0.0119385 -0.01052577 -0.05126853 0.02659899 0.00860242]\n", "[ 0.01193941 -0.01052658 -0.05126428 0.02659627 0.00860007]\n", "[ 0.01194033 -0.0105274 -0.05126003 0.02659355 0.00859771]\n", "[ 0.01194125 -0.01052821 -0.05125579 0.02659084 0.00859536]\n", "[ 0.01194216 -0.01052902 -0.05125154 0.02658812 0.008593 ]\n", "[ 0.01194308 -0.01052983 -0.0512473 0.0265854 0.00859065]\n", "[ 0.01194399 -0.01053064 -0.05124305 0.02658268 0.00858829]\n", "[ 0.01194491 -0.01053145 -0.05123881 0.02657997 0.00858594]\n", "[ 0.01194583 -0.01053226 -0.05123456 0.02657725 0.00858358]\n", "[ 0.01194674 -0.01053307 -0.05123032 0.02657454 0.00858123]\n", "[ 0.01194766 -0.01053388 -0.05122608 0.02657182 0.00857888]\n", "[ 0.01194857 -0.01053469 -0.05122184 0.0265691 0.00857652]\n", "[ 0.01194949 -0.0105355 -0.05121759 0.02656639 0.00857417]\n", "[ 0.0119504 -0.01053631 -0.05121335 0.02656368 0.00857182]\n", "[ 0.01195132 -0.01053712 -0.05120911 0.02656096 0.00856947]\n", "[ 0.01195223 -0.01053793 -0.05120487 0.02655825 0.00856711]\n", "[ 0.01195314 -0.01053874 -0.05120063 0.02655553 0.00856476]\n", "[ 0.01195406 -0.01053955 -0.05119639 0.02655282 0.00856241]\n", "[ 0.01195497 -0.01054036 -0.05119215 0.02655011 0.00856006]\n", "[ 0.01195589 -0.01054117 -0.05118792 0.0265474 0.00855771]\n", "[ 0.0119568 -0.01054197 -0.05118368 0.02654468 0.00855536]\n", "[ 0.01195771 -0.01054278 -0.05117944 0.02654197 0.00855301]\n", "[ 0.01195863 -0.01054359 -0.0511752 0.02653926 0.00855066]\n", "[ 0.01195954 -0.0105444 -0.05117097 0.02653655 0.00854831]\n", "[ 0.01196045 -0.01054521 -0.05116673 0.02653384 0.00854596]\n", "[ 0.01196137 -0.01054601 -0.0511625 0.02653113 0.00854361]\n", "[ 0.01196228 -0.01054682 -0.05115826 0.02652842 0.00854126]\n", "[ 0.01196319 -0.01054763 -0.05115403 0.02652571 0.00853892]\n", "[ 0.0119641 -0.01054844 -0.05114979 0.026523 0.00853657]\n", "[ 0.01196501 -0.01054924 -0.05114556 0.02652029 0.00853422]\n", "[ 0.01196593 -0.01055005 -0.05114133 0.02651758 0.00853187]\n", "[ 0.01196684 -0.01055086 -0.05113709 0.02651487 0.00852953]\n", "[ 0.01196775 -0.01055166 -0.05113286 0.02651216 0.00852718]\n", "[ 0.01196866 -0.01055247 -0.05112863 0.02650946 0.00852483]\n", "[ 0.01196957 -0.01055327 -0.0511244 0.02650675 0.00852249]\n", "[ 0.01197048 -0.01055408 -0.05112017 0.02650404 0.00852014]\n", "[ 0.01197139 -0.01055489 -0.05111594 0.02650133 0.0085178 ]\n", "[ 0.0119723 -0.01055569 -0.05111171 0.02649863 0.00851545]\n", "[ 0.01197321 -0.0105565 -0.05110748 0.02649592 0.00851311]\n", "[ 0.01197413 -0.0105573 -0.05110325 0.02649322 0.00851076]\n", "[ 0.01197504 -0.01055811 -0.05109902 0.02649051 0.00850842]\n", "[ 0.01197595 -0.01055891 -0.05109479 0.02648781 0.00850608]\n", "[ 0.01197685 -0.01055972 -0.05109057 0.0264851 0.00850373]\n", "[ 0.01197776 -0.01056052 -0.05108634 0.0264824 0.00850139]\n", "[ 0.01197867 -0.01056133 -0.05108211 0.02647969 0.00849905]\n", "[ 0.01197958 -0.01056213 -0.05107789 0.02647699 0.00849671]\n", "[ 0.01198049 -0.01056294 -0.05107366 0.02647429 0.00849436]\n", "[ 0.0119814 -0.01056374 -0.05106944 0.02647158 0.00849202]\n", "[ 0.01198231 -0.01056454 -0.05106521 0.02646888 0.00848968]\n", "[ 0.01198322 -0.01056535 -0.05106099 0.02646618 0.00848734]\n", "[ 0.01198413 -0.01056615 -0.05105677 0.02646348 0.008485 ]\n", "[ 0.01198503 -0.01056695 -0.05105254 0.02646077 0.00848266]\n", "[ 0.01198594 -0.01056776 -0.05104832 0.02645807 0.00848032]\n", "[ 0.01198685 -0.01056856 -0.0510441 0.02645537 0.00847798]\n", "[ 0.01198776 -0.01056936 -0.05103988 0.02645267 0.00847564]\n", "[ 0.01198867 -0.01057017 -0.05103565 0.02644997 0.0084733 ]\n", "[ 0.01198957 -0.01057097 -0.05103143 0.02644727 0.00847096]\n", "[ 0.01199048 -0.01057177 -0.05102721 0.02644457 0.00846862]\n", "[ 0.01199139 -0.01057257 -0.05102299 0.02644187 0.00846628]\n", "[ 0.01199229 -0.01057337 -0.05101877 0.02643917 0.00846395]\n", "[ 0.0119932 -0.01057418 -0.05101456 0.02643647 0.00846161]\n", "[ 0.01199411 -0.01057498 -0.05101034 0.02643378 0.00845927]\n", "[ 0.01199501 -0.01057578 -0.05100612 0.02643108 0.00845693]\n", "[ 0.01199592 -0.01057658 -0.0510019 0.02642838 0.0084546 ]\n", "[ 0.01199683 -0.01057738 -0.05099769 0.02642568 0.00845226]\n", "[ 0.01199773 -0.01057818 -0.05099347 0.02642299 0.00844992]\n", "[ 0.01199864 -0.01057898 -0.05098925 0.02642029 0.00844759]\n", "[ 0.01199954 -0.01057978 -0.05098504 0.02641759 0.00844525]\n", "[ 0.01200045 -0.01058058 -0.05098082 0.0264149 0.00844292]\n", "[ 0.01200135 -0.01058139 -0.05097661 0.0264122 0.00844058]\n", "[ 0.01200226 -0.01058219 -0.05097239 0.02640951 0.00843825]\n", "[ 0.01200316 -0.01058299 -0.05096818 0.02640681 0.00843591]\n", "[ 0.01200407 -0.01058379 -0.05096397 0.02640412 0.00843358]\n", "[ 0.01200497 -0.01058458 -0.05095976 0.02640142 0.00843125]\n", "[ 0.01200588 -0.01058538 -0.05095554 0.02639873 0.00842891]\n", "[ 0.01200678 -0.01058618 -0.05095133 0.02639603 0.00842658]\n", "[ 0.01200768 -0.01058698 -0.05094712 0.02639334 0.00842425]\n", "[ 0.01200859 -0.01058778 -0.05094291 0.02639065 0.00842192]\n", "[ 0.01200949 -0.01058858 -0.0509387 0.02638796 0.00841958]\n", "[ 0.01201039 -0.01058938 -0.05093449 0.02638526 0.00841725]\n", "[ 0.0120113 -0.01059018 -0.05093028 0.02638257 0.00841492]\n", "[ 0.0120122 -0.01059098 -0.05092607 0.02637988 0.00841259]\n", "[ 0.0120131 -0.01059177 -0.05092186 0.02637719 0.00841026]\n", "[ 0.01201401 -0.01059257 -0.05091766 0.0263745 0.00840793]\n", "[ 0.01201491 -0.01059337 -0.05091345 0.02637181 0.0084056 ]\n", "[ 0.01201581 -0.01059417 -0.05090924 0.02636912 0.00840327]\n", "[ 0.01201671 -0.01059497 -0.05090503 0.02636643 0.00840094]\n", "[ 0.01201761 -0.01059576 -0.05090083 0.02636374 0.00839861]\n", "[ 0.01201852 -0.01059656 -0.05089662 0.02636105 0.00839628]\n", "[ 0.01201942 -0.01059736 -0.05089242 0.02635836 0.00839395]\n", "[ 0.01202032 -0.01059815 -0.05088821 0.02635567 0.00839163]\n", "[ 0.01202122 -0.01059895 -0.05088401 0.02635298 0.0083893 ]\n", "[ 0.01202212 -0.01059975 -0.05087981 0.02635029 0.00838697]\n", "[ 0.01202302 -0.01060054 -0.0508756 0.02634761 0.00838464]\n", "[ 0.01202392 -0.01060134 -0.0508714 0.02634492 0.00838232]\n", "[ 0.01202482 -0.01060214 -0.0508672 0.02634223 0.00837999]\n", "[ 0.01202572 -0.01060293 -0.050863 0.02633955 0.00837766]\n", "[ 0.01202662 -0.01060373 -0.0508588 0.02633686 0.00837534]\n", "[ 0.01202752 -0.01060452 -0.05085459 0.02633417 0.00837301]\n", "[ 0.01202842 -0.01060532 -0.05085039 0.02633149 0.00837069]\n", "[ 0.01202932 -0.01060611 -0.05084619 0.0263288 0.00836836]\n", "[ 0.01203022 -0.01060691 -0.050842 0.02632612 0.00836604]\n", "[ 0.01203112 -0.0106077 -0.0508378 0.02632343 0.00836371]\n", "[ 0.01203202 -0.0106085 -0.0508336 0.02632075 0.00836139]\n", "[ 0.01203292 -0.01060929 -0.0508294 0.02631807 0.00835906]\n", "[ 0.01203382 -0.01061009 -0.0508252 0.02631538 0.00835674]\n", "[ 0.01203472 -0.01061088 -0.05082101 0.0263127 0.00835442]\n", "[ 0.01203562 -0.01061168 -0.05081681 0.02631002 0.00835209]\n", "[ 0.01203651 -0.01061247 -0.05081261 0.02630733 0.00834977]\n", "[ 0.01203741 -0.01061326 -0.05080842 0.02630465 0.00834745]\n", "[ 0.01203831 -0.01061406 -0.05080422 0.02630197 0.00834513]\n", "[ 0.01203921 -0.01061485 -0.05080003 0.02629929 0.00834281]\n", "[ 0.01204011 -0.01061564 -0.05079583 0.02629661 0.00834048]\n", "[ 0.012041 -0.01061644 -0.05079164 0.02629393 0.00833816]\n", "[ 0.0120419 -0.01061723 -0.05078745 0.02629124 0.00833584]\n", "[ 0.0120428 -0.01061802 -0.05078325 0.02628856 0.00833352]\n", "[ 0.01204369 -0.01061882 -0.05077906 0.02628588 0.0083312 ]\n", "[ 0.01204459 -0.01061961 -0.05077487 0.02628321 0.00832888]\n", "[ 0.01204549 -0.0106204 -0.05077068 0.02628053 0.00832656]\n", "[ 0.01204638 -0.01062119 -0.05076649 0.02627785 0.00832424]\n", "[ 0.01204728 -0.01062198 -0.0507623 0.02627517 0.00832192]\n", "[ 0.01204818 -0.01062278 -0.05075811 0.02627249 0.00831961]\n", "[ 0.01204907 -0.01062357 -0.05075392 0.02626981 0.00831729]\n", "[ 0.01204997 -0.01062436 -0.05074973 0.02626713 0.00831497]\n", "[ 0.01205086 -0.01062515 -0.05074554 0.02626446 0.00831265]\n", "[ 0.01205176 -0.01062594 -0.05074135 0.02626178 0.00831034]\n", "[ 0.01205265 -0.01062673 -0.05073717 0.0262591 0.00830802]\n", "[ 0.01205355 -0.01062752 -0.05073298 0.02625643 0.0083057 ]\n", "[ 0.01205444 -0.01062831 -0.05072879 0.02625375 0.00830339]\n", "[ 0.01205534 -0.0106291 -0.05072461 0.02625108 0.00830107]\n", "[ 0.01205623 -0.01062989 -0.05072042 0.0262484 0.00829875]\n", "[ 0.01205713 -0.01063068 -0.05071624 0.02624573 0.00829644]\n", "[ 0.01205802 -0.01063147 -0.05071205 0.02624305 0.00829412]\n", "[ 0.01205892 -0.01063226 -0.05070787 0.02624038 0.00829181]\n", "[ 0.01205981 -0.01063305 -0.05070368 0.0262377 0.00828949]\n", "[ 0.0120607 -0.01063384 -0.0506995 0.02623503 0.00828718]\n", "[ 0.0120616 -0.01063463 -0.05069532 0.02623236 0.00828487]\n", "[ 0.01206249 -0.01063542 -0.05069114 0.02622968 0.00828255]\n", "[ 0.01206338 -0.01063621 -0.05068695 0.02622701 0.00828024]\n", "[ 0.01206428 -0.010637 -0.05068277 0.02622434 0.00827793]\n", "[ 0.01206517 -0.01063779 -0.05067859 0.02622167 0.00827561]\n", "[ 0.01206606 -0.01063858 -0.05067441 0.026219 0.0082733 ]\n", "[ 0.01206695 -0.01063937 -0.05067023 0.02621632 0.00827099]\n", "[ 0.01206785 -0.01064015 -0.05066605 0.02621365 0.00826868]\n", "[ 0.01206874 -0.01064094 -0.05066187 0.02621098 0.00826637]\n", "[ 0.01206963 -0.01064173 -0.05065769 0.02620831 0.00826406]\n", "[ 0.01207052 -0.01064252 -0.05065352 0.02620564 0.00826174]\n", "[ 0.01207141 -0.01064331 -0.05064934 0.02620297 0.00825943]\n", "[ 0.01207231 -0.01064409 -0.05064516 0.0262003 0.00825712]\n", "[ 0.0120732 -0.01064488 -0.05064098 0.02619764 0.00825481]\n", "[ 0.01207409 -0.01064567 -0.05063681 0.02619497 0.0082525 ]\n", "[ 0.01207498 -0.01064645 -0.05063263 0.0261923 0.0082502 ]\n", "[ 0.01207587 -0.01064724 -0.05062846 0.02618963 0.00824789]\n", "[ 0.01207676 -0.01064803 -0.05062428 0.02618696 0.00824558]\n", "[ 0.01207765 -0.01064881 -0.05062011 0.0261843 0.00824327]\n", "[ 0.01207854 -0.0106496 -0.05061593 0.02618163 0.00824096]\n", "[ 0.01207943 -0.01065039 -0.05061176 0.02617896 0.00823865]\n", "[ 0.01208032 -0.01065117 -0.05060759 0.0261763 0.00823635]\n", "[ 0.01208121 -0.01065196 -0.05060342 0.02617363 0.00823404]\n", "[ 0.0120821 -0.01065274 -0.05059924 0.02617097 0.00823173]\n", "[ 0.01208299 -0.01065353 -0.05059507 0.0261683 0.00822943]\n", "[ 0.01208388 -0.01065431 -0.0505909 0.02616564 0.00822712]\n", "[ 0.01208477 -0.0106551 -0.05058673 0.02616297 0.00822482]\n", "[ 0.01208566 -0.01065588 -0.05058256 0.02616031 0.00822251]\n", "[ 0.01208654 -0.01065667 -0.05057839 0.02615764 0.0082202 ]\n", "[ 0.01208743 -0.01065745 -0.05057422 0.02615498 0.0082179 ]\n", "[ 0.01208832 -0.01065824 -0.05057005 0.02615232 0.0082156 ]\n", "[ 0.01208921 -0.01065902 -0.05056589 0.02614965 0.00821329]\n", "[ 0.0120901 -0.01065981 -0.05056172 0.02614699 0.00821099]\n", "[ 0.01209098 -0.01066059 -0.05055755 0.02614433 0.00820868]\n", "[ 0.01209187 -0.01066137 -0.05055338 0.02614167 0.00820638]\n", "[ 0.01209276 -0.01066216 -0.05054922 0.026139 0.00820408]\n", "[ 0.01209365 -0.01066294 -0.05054505 0.02613634 0.00820177]\n", "[ 0.01209453 -0.01066372 -0.05054089 0.02613368 0.00819947]\n", "[ 0.01209542 -0.01066451 -0.05053672 0.02613102 0.00819717]\n", "[ 0.01209631 -0.01066529 -0.05053256 0.02612836 0.00819487]\n", "[ 0.01209719 -0.01066607 -0.05052839 0.0261257 0.00819257]\n", "[ 0.01209808 -0.01066686 -0.05052423 0.02612304 0.00819027]\n", "[ 0.01209897 -0.01066764 -0.05052007 0.02612038 0.00818797]\n", "[ 0.01209985 -0.01066842 -0.0505159 0.02611772 0.00818566]\n", "[ 0.01210074 -0.0106692 -0.05051174 0.02611507 0.00818336]\n", "[ 0.01210163 -0.01066999 -0.05050758 0.02611241 0.00818106]\n", "[ 0.01210251 -0.01067077 -0.05050342 0.02610975 0.00817877]\n", "[ 0.0121034 -0.01067155 -0.05049926 0.02610709 0.00817647]\n", "[ 0.01210428 -0.01067233 -0.0504951 0.02610443 0.00817417]\n", "[ 0.01210517 -0.01067311 -0.05049094 0.02610178 0.00817187]\n", "[ 0.01210605 -0.01067389 -0.05048678 0.02609912 0.00816957]\n", "[ 0.01210694 -0.01067467 -0.05048262 0.02609646 0.00816727]\n", "[ 0.01210782 -0.01067545 -0.05047846 0.02609381 0.00816497]\n", "[ 0.0121087 -0.01067624 -0.0504743 0.02609115 0.00816268]\n", "[ 0.01210959 -0.01067702 -0.05047015 0.0260885 0.00816038]\n", "[ 0.01211047 -0.0106778 -0.05046599 0.02608584 0.00815808]\n", "[ 0.01211136 -0.01067858 -0.05046183 0.02608319 0.00815579]\n", "[ 0.01211224 -0.01067936 -0.05045768 0.02608053 0.00815349]\n", "[ 0.01211312 -0.01068014 -0.05045352 0.02607788 0.00815119]\n", "[ 0.01211401 -0.01068092 -0.05044937 0.02607523 0.0081489 ]\n", "[ 0.01211489 -0.0106817 -0.05044521 0.02607257 0.0081466 ]\n", "[ 0.01211577 -0.01068248 -0.05044106 0.02606992 0.00814431]\n", "[ 0.01211666 -0.01068325 -0.0504369 0.02606727 0.00814201]\n", "[ 0.01211754 -0.01068403 -0.05043275 0.02606461 0.00813972]\n", "[ 0.01211842 -0.01068481 -0.0504286 0.02606196 0.00813743]\n", "[ 0.0121193 -0.01068559 -0.05042445 0.02605931 0.00813513]\n", "[ 0.01212019 -0.01068637 -0.05042029 0.02605666 0.00813284]\n", "[ 0.01212107 -0.01068715 -0.05041614 0.02605401 0.00813055]\n", "[ 0.01212195 -0.01068793 -0.05041199 0.02605136 0.00812825]\n", "[ 0.01212283 -0.01068871 -0.05040784 0.02604871 0.00812596]\n", "[ 0.01212371 -0.01068948 -0.05040369 0.02604606 0.00812367]\n", "[ 0.01212459 -0.01069026 -0.05039954 0.02604341 0.00812138]\n", "[ 0.01212547 -0.01069104 -0.05039539 0.02604076 0.00811909]\n", "[ 0.01212636 -0.01069182 -0.05039125 0.02603811 0.00811679]\n", "[ 0.01212724 -0.01069259 -0.0503871 0.02603546 0.0081145 ]\n", "[ 0.01212812 -0.01069337 -0.05038295 0.02603281 0.00811221]\n", "[ 0.012129 -0.01069415 -0.0503788 0.02603017 0.00810992]\n", "[ 0.01212988 -0.01069492 -0.05037466 0.02602752 0.00810763]\n", "[ 0.01213076 -0.0106957 -0.05037051 0.02602487 0.00810534]\n", "[ 0.01213164 -0.01069648 -0.05036636 0.02602222 0.00810305]\n", "[ 0.01213252 -0.01069725 -0.05036222 0.02601958 0.00810076]\n", "[ 0.0121334 -0.01069803 -0.05035807 0.02601693 0.00809848]\n", "[ 0.01213428 -0.01069881 -0.05035393 0.02601428 0.00809619]\n", "[ 0.01213516 -0.01069958 -0.05034979 0.02601164 0.0080939 ]\n", "[ 0.01213603 -0.01070036 -0.05034564 0.02600899 0.00809161]\n", "[ 0.01213691 -0.01070113 -0.0503415 0.02600635 0.00808932]\n", "[ 0.01213779 -0.01070191 -0.05033736 0.0260037 0.00808704]\n", "[ 0.01213867 -0.01070268 -0.05033322 0.02600106 0.00808475]\n", "[ 0.01213955 -0.01070346 -0.05032907 0.02599841 0.00808246]\n", "[ 0.01214043 -0.01070423 -0.05032493 0.02599577 0.00808018]\n", "[ 0.01214131 -0.01070501 -0.05032079 0.02599313 0.00807789]\n", "[ 0.01214218 -0.01070578 -0.05031665 0.02599048 0.00807561]\n", "[ 0.01214306 -0.01070656 -0.05031251 0.02598784 0.00807332]\n", "[ 0.01214394 -0.01070733 -0.05030837 0.0259852 0.00807103]\n", "[ 0.01214482 -0.01070811 -0.05030424 0.02598256 0.00806875]\n", "[ 0.01214569 -0.01070888 -0.0503001 0.02597992 0.00806647]\n", "[ 0.01214657 -0.01070965 -0.05029596 0.02597727 0.00806418]\n", "[ 0.01214745 -0.01071043 -0.05029182 0.02597463 0.0080619 ]\n", "[ 0.01214832 -0.0107112 -0.05028769 0.02597199 0.00805961]\n", "[ 0.0121492 -0.01071197 -0.05028355 0.02596935 0.00805733]\n", "[ 0.01215008 -0.01071275 -0.05027941 0.02596671 0.00805505]\n", "[ 0.01215095 -0.01071352 -0.05027528 0.02596407 0.00805277]\n", "[ 0.01215183 -0.01071429 -0.05027114 0.02596143 0.00805048]\n", "[ 0.0121527 -0.01071507 -0.05026701 0.02595879 0.0080482 ]\n", "[ 0.01215358 -0.01071584 -0.05026287 0.02595615 0.00804592]\n", "[ 0.01215446 -0.01071661 -0.05025874 0.02595352 0.00804364]\n", "[ 0.01215533 -0.01071738 -0.05025461 0.02595088 0.00804136]\n", "[ 0.01215621 -0.01071816 -0.05025047 0.02594824 0.00803908]\n", "[ 0.01215708 -0.01071893 -0.05024634 0.0259456 0.0080368 ]\n", "[ 0.01215796 -0.0107197 -0.05024221 0.02594297 0.00803452]\n", "[ 0.01215883 -0.01072047 -0.05023808 0.02594033 0.00803224]\n", "[ 0.0121597 -0.01072124 -0.05023395 0.02593769 0.00802996]\n", "[ 0.01216058 -0.01072201 -0.05022982 0.02593506 0.00802768]\n", "[ 0.01216145 -0.01072278 -0.05022569 0.02593242 0.0080254 ]\n", "[ 0.01216233 -0.01072355 -0.05022156 0.02592978 0.00802312]\n", "[ 0.0121632 -0.01072433 -0.05021743 0.02592715 0.00802084]\n", "[ 0.01216407 -0.0107251 -0.0502133 0.02592451 0.00801856]\n", "[ 0.01216495 -0.01072587 -0.05020917 0.02592188 0.00801629]\n", "[ 0.01216582 -0.01072664 -0.05020505 0.02591925 0.00801401]\n", "[ 0.01216669 -0.01072741 -0.05020092 0.02591661 0.00801173]\n", "[ 0.01216757 -0.01072818 -0.05019679 0.02591398 0.00800945]\n", "[ 0.01216844 -0.01072895 -0.05019267 0.02591134 0.00800718]\n", "[ 0.01216931 -0.01072972 -0.05018854 0.02590871 0.0080049 ]\n", "[ 0.01217018 -0.01073049 -0.05018442 0.02590608 0.00800263]\n", "[ 0.01217106 -0.01073125 -0.05018029 0.02590345 0.00800035]\n", "[ 0.01217193 -0.01073202 -0.05017617 0.02590082 0.00799808]\n", "[ 0.0121728 -0.01073279 -0.05017204 0.02589818 0.0079958 ]\n", "[ 0.01217367 -0.01073356 -0.05016792 0.02589555 0.00799353]\n", "[ 0.01217454 -0.01073433 -0.0501638 0.02589292 0.00799125]\n", "[ 0.01217542 -0.0107351 -0.05015968 0.02589029 0.00798898]\n", "[ 0.01217629 -0.01073587 -0.05015555 0.02588766 0.0079867 ]\n", "[ 0.01217716 -0.01073664 -0.05015143 0.02588503 0.00798443]\n", "[ 0.01217803 -0.0107374 -0.05014731 0.0258824 0.00798216]\n", "[ 0.0121789 -0.01073817 -0.05014319 0.02587977 0.00797988]\n", "[ 0.01217977 -0.01073894 -0.05013907 0.02587714 0.00797761]\n", "[ 0.01218064 -0.01073971 -0.05013495 0.02587451 0.00797534]\n", "[ 0.01218151 -0.01074047 -0.05013083 0.02587189 0.00797307]\n", "[ 0.01218238 -0.01074124 -0.05012671 0.02586926 0.0079708 ]\n", "[ 0.01218325 -0.01074201 -0.05012259 0.02586663 0.00796852]\n", "[ 0.01218412 -0.01074278 -0.05011848 0.025864 0.00796625]\n", "[ 0.01218499 -0.01074354 -0.05011436 0.02586138 0.00796398]\n", "[ 0.01218586 -0.01074431 -0.05011024 0.02585875 0.00796171]\n", "[ 0.01218673 -0.01074507 -0.05010613 0.02585612 0.00795944]\n", "[ 0.0121876 -0.01074584 -0.05010201 0.0258535 0.00795717]\n", "[ 0.01218847 -0.01074661 -0.05009789 0.02585087 0.0079549 ]\n", "[ 0.01218933 -0.01074737 -0.05009378 0.02584825 0.00795263]\n", "[ 0.0121902 -0.01074814 -0.05008967 0.02584562 0.00795037]\n", "[ 0.01219107 -0.0107489 -0.05008555 0.025843 0.0079481 ]\n", "[ 0.01219194 -0.01074967 -0.05008144 0.02584037 0.00794583]\n", "[ 0.01219281 -0.01075044 -0.05007732 0.02583775 0.00794356]\n", "[ 0.01219367 -0.0107512 -0.05007321 0.02583512 0.00794129]\n", "[ 0.01219454 -0.01075197 -0.0500691 0.0258325 0.00793903]\n", "[ 0.01219541 -0.01075273 -0.05006499 0.02582988 0.00793676]\n", "[ 0.01219628 -0.0107535 -0.05006088 0.02582725 0.00793449]\n", "[ 0.01219714 -0.01075426 -0.05005677 0.02582463 0.00793223]\n", "[ 0.01219801 -0.01075502 -0.05005266 0.02582201 0.00792996]\n", "[ 0.01219888 -0.01075579 -0.05004855 0.02581939 0.00792769]\n", "[ 0.01219974 -0.01075655 -0.05004444 0.02581677 0.00792543]\n", "[ 0.01220061 -0.01075732 -0.05004033 0.02581415 0.00792316]\n", "[ 0.01220148 -0.01075808 -0.05003622 0.02581153 0.0079209 ]\n", "[ 0.01220234 -0.01075884 -0.05003211 0.0258089 0.00791863]\n", "[ 0.01220321 -0.01075961 -0.050028 0.02580628 0.00791637]\n", "[ 0.01220408 -0.01076037 -0.0500239 0.02580366 0.00791411]\n", "[ 0.01220494 -0.01076113 -0.05001979 0.02580105 0.00791184]\n", "[ 0.01220581 -0.0107619 -0.05001568 0.02579843 0.00790958]\n", "[ 0.01220667 -0.01076266 -0.05001158 0.02579581 0.00790732]\n", "[ 0.01220754 -0.01076342 -0.05000747 0.02579319 0.00790505]\n", "[ 0.0122084 -0.01076418 -0.05000337 0.02579057 0.00790279]\n", "[ 0.01220927 -0.01076495 -0.04999926 0.02578795 0.00790053]\n", "[ 0.01221013 -0.01076571 -0.04999516 0.02578533 0.00789827]\n", "[ 0.012211 -0.01076647 -0.04999106 0.02578272 0.00789601]\n", "[ 0.01221186 -0.01076723 -0.04998695 0.0257801 0.00789374]\n", "[ 0.01221272 -0.01076799 -0.04998285 0.02577748 0.00789148]\n", "[ 0.01221359 -0.01076875 -0.04997875 0.02577487 0.00788922]\n", "[ 0.01221445 -0.01076952 -0.04997465 0.02577225 0.00788696]\n", "[ 0.01221531 -0.01077028 -0.04997055 0.02576964 0.0078847 ]\n", "[ 0.01221618 -0.01077104 -0.04996645 0.02576702 0.00788244]\n", "[ 0.01221704 -0.0107718 -0.04996235 0.02576441 0.00788018]\n", "[ 0.0122179 -0.01077256 -0.04995825 0.02576179 0.00787792]\n", "[ 0.01221877 -0.01077332 -0.04995415 0.02575918 0.00787567]\n", "[ 0.01221963 -0.01077408 -0.04995005 0.02575656 0.00787341]\n", "[ 0.01222049 -0.01077484 -0.04994595 0.02575395 0.00787115]\n", "[ 0.01222136 -0.0107756 -0.04994185 0.02575134 0.00786889]\n", "[ 0.01222222 -0.01077636 -0.04993775 0.02574872 0.00786663]\n", "[ 0.01222308 -0.01077712 -0.04993366 0.02574611 0.00786438]\n", "[ 0.01222394 -0.01077788 -0.04992956 0.0257435 0.00786212]\n", "[ 0.0122248 -0.01077864 -0.04992547 0.02574089 0.00785986]\n", "[ 0.01222566 -0.0107794 -0.04992137 0.02573827 0.00785761]\n", "[ 0.01222653 -0.01078016 -0.04991727 0.02573566 0.00785535]\n", "[ 0.01222739 -0.01078092 -0.04991318 0.02573305 0.0078531 ]\n", "[ 0.01222825 -0.01078168 -0.04990909 0.02573044 0.00785084]\n", "[ 0.01222911 -0.01078243 -0.04990499 0.02572783 0.00784858]\n", "[ 0.01222997 -0.01078319 -0.0499009 0.02572522 0.00784633]\n", "[ 0.01223083 -0.01078395 -0.04989681 0.02572261 0.00784408]\n", "[ 0.01223169 -0.01078471 -0.04989271 0.02572 0.00784182]\n", "[ 0.01223255 -0.01078547 -0.04988862 0.02571739 0.00783957]\n", "[ 0.01223341 -0.01078623 -0.04988453 0.02571478 0.00783731]\n", "[ 0.01223427 -0.01078698 -0.04988044 0.02571218 0.00783506]\n", "[ 0.01223513 -0.01078774 -0.04987635 0.02570957 0.00783281]\n", "[ 0.01223599 -0.0107885 -0.04987226 0.02570696 0.00783055]\n", "[ 0.01223685 -0.01078926 -0.04986817 0.02570435 0.0078283 ]\n", "[ 0.01223771 -0.01079001 -0.04986408 0.02570175 0.00782605]\n", "[ 0.01223857 -0.01079077 -0.04985999 0.02569914 0.0078238 ]\n", "[ 0.01223943 -0.01079153 -0.0498559 0.02569653 0.00782155]\n", "[ 0.01224028 -0.01079228 -0.04985182 0.02569393 0.0078193 ]\n", "[ 0.01224114 -0.01079304 -0.04984773 0.02569132 0.00781704]\n", "[ 0.012242 -0.01079379 -0.04984364 0.02568871 0.00781479]\n", "[ 0.01224286 -0.01079455 -0.04983956 0.02568611 0.00781254]\n", "[ 0.01224372 -0.01079531 -0.04983547 0.0256835 0.00781029]\n", "[ 0.01224458 -0.01079606 -0.04983138 0.0256809 0.00780804]\n", "[ 0.01224543 -0.01079682 -0.0498273 0.0256783 0.00780579]\n", "[ 0.01224629 -0.01079757 -0.04982321 0.02567569 0.00780355]\n", "[ 0.01224715 -0.01079833 -0.04981913 0.02567309 0.0078013 ]\n", "[ 0.01224801 -0.01079908 -0.04981505 0.02567049 0.00779905]\n", "[ 0.01224886 -0.01079984 -0.04981096 0.02566788 0.0077968 ]\n", "[ 0.01224972 -0.01080059 -0.04980688 0.02566528 0.00779455]\n", "[ 0.01225058 -0.01080135 -0.0498028 0.02566268 0.00779231]\n", "[ 0.01225143 -0.0108021 -0.04979872 0.02566008 0.00779006]\n", "[ 0.01225229 -0.01080286 -0.04979464 0.02565747 0.00778781]\n", "[ 0.01225314 -0.01080361 -0.04979056 0.02565487 0.00778556]\n", "[ 0.012254 -0.01080437 -0.04978648 0.02565227 0.00778332]\n", "[ 0.01225486 -0.01080512 -0.0497824 0.02564967 0.00778107]\n", "[ 0.01225571 -0.01080587 -0.04977832 0.02564707 0.00777883]\n", "[ 0.01225657 -0.01080663 -0.04977424 0.02564447 0.00777658]\n", "[ 0.01225742 -0.01080738 -0.04977016 0.02564187 0.00777434]\n", "[ 0.01225828 -0.01080813 -0.04976608 0.02563927 0.00777209]\n", "[ 0.01225913 -0.01080889 -0.049762 0.02563667 0.00776985]\n", "[ 0.01225999 -0.01080964 -0.04975793 0.02563407 0.0077676 ]\n", "[ 0.01226084 -0.01081039 -0.04975385 0.02563148 0.00776536]\n", "[ 0.0122617 -0.01081115 -0.04974977 0.02562888 0.00776311]\n", "[ 0.01226255 -0.0108119 -0.0497457 0.02562628 0.00776087]\n", "[ 0.01226341 -0.01081265 -0.04974162 0.02562368 0.00775863]\n", "[ 0.01226426 -0.0108134 -0.04973755 0.02562108 0.00775639]\n", "[ 0.01226511 -0.01081415 -0.04973347 0.02561849 0.00775414]\n", "[ 0.01226597 -0.01081491 -0.0497294 0.02561589 0.0077519 ]\n", "[ 0.01226682 -0.01081566 -0.04972533 0.0256133 0.00774966]\n", "[ 0.01226767 -0.01081641 -0.04972125 0.0256107 0.00774742]\n", "[ 0.01226853 -0.01081716 -0.04971718 0.0256081 0.00774518]\n", "[ 0.01226938 -0.01081791 -0.04971311 0.02560551 0.00774294]\n", "[ 0.01227023 -0.01081866 -0.04970904 0.02560291 0.00774069]\n", "[ 0.01227108 -0.01081941 -0.04970496 0.02560032 0.00773845]\n", "[ 0.01227194 -0.01082016 -0.04970089 0.02559773 0.00773621]\n", "[ 0.01227279 -0.01082091 -0.04969682 0.02559513 0.00773397]\n", "[ 0.01227364 -0.01082167 -0.04969275 0.02559254 0.00773174]\n", "[ 0.01227449 -0.01082242 -0.04968868 0.02558994 0.0077295 ]\n", "[ 0.01227534 -0.01082317 -0.04968462 0.02558735 0.00772726]\n", "[ 0.0122762 -0.01082392 -0.04968055 0.02558476 0.00772502]\n", "[ 0.01227705 -0.01082467 -0.04967648 0.02558217 0.00772278]\n", "[ 0.0122779 -0.01082542 -0.04967241 0.02557957 0.00772054]\n", "[ 0.01227875 -0.01082616 -0.04966835 0.02557698 0.00771831]\n", "[ 0.0122796 -0.01082691 -0.04966428 0.02557439 0.00771607]\n", "[ 0.01228045 -0.01082766 -0.04966021 0.0255718 0.00771383]\n", "[ 0.0122813 -0.01082841 -0.04965615 0.02556921 0.00771159]\n", "[ 0.01228215 -0.01082916 -0.04965208 0.02556662 0.00770936]\n", "[ 0.012283 -0.01082991 -0.04964802 0.02556403 0.00770712]\n", "[ 0.01228385 -0.01083066 -0.04964395 0.02556144 0.00770489]\n", "[ 0.0122847 -0.01083141 -0.04963989 0.02555885 0.00770265]\n", "[ 0.01228555 -0.01083215 -0.04963583 0.02555626 0.00770042]\n", "[ 0.0122864 -0.0108329 -0.04963176 0.02555367 0.00769818]\n", "[ 0.01228725 -0.01083365 -0.0496277 0.02555108 0.00769595]\n", "[ 0.0122881 -0.0108344 -0.04962364 0.0255485 0.00769371]\n", "[ 0.01228895 -0.01083515 -0.04961958 0.02554591 0.00769148]\n", "[ 0.0122898 -0.01083589 -0.04961552 0.02554332 0.00768924]\n", "[ 0.01229065 -0.01083664 -0.04961145 0.02554073 0.00768701]\n", "[ 0.0122915 -0.01083739 -0.04960739 0.02553815 0.00768478]\n", "[ 0.01229234 -0.01083813 -0.04960333 0.02553556 0.00768255]\n", "[ 0.01229319 -0.01083888 -0.04959928 0.02553297 0.00768031]\n", "[ 0.01229404 -0.01083963 -0.04959522 0.02553039 0.00767808]\n", "[ 0.01229489 -0.01084037 -0.04959116 0.0255278 0.00767585]\n", "[ 0.01229574 -0.01084112 -0.0495871 0.02552522 0.00767362]\n", "[ 0.01229658 -0.01084187 -0.04958304 0.02552263 0.00767139]\n", "[ 0.01229743 -0.01084261 -0.04957899 0.02552005 0.00766915]\n", "[ 0.01229828 -0.01084336 -0.04957493 0.02551746 0.00766692]\n", "[ 0.01229913 -0.01084411 -0.04957087 0.02551488 0.00766469]\n", "[ 0.01229997 -0.01084485 -0.04956682 0.0255123 0.00766246]\n", "[ 0.01230082 -0.0108456 -0.04956276 0.02550971 0.00766023]\n", "[ 0.01230167 -0.01084634 -0.04955871 0.02550713 0.007658 ]\n", "[ 0.01230251 -0.01084709 -0.04955465 0.02550455 0.00765578]\n", "[ 0.01230336 -0.01084783 -0.0495506 0.02550197 0.00765355]\n", "[ 0.0123042 -0.01084858 -0.04954655 0.02549938 0.00765132]\n", "[ 0.01230505 -0.01084932 -0.04954249 0.0254968 0.00764909]\n", "[ 0.0123059 -0.01085007 -0.04953844 0.02549422 0.00764686]\n", "[ 0.01230674 -0.01085081 -0.04953439 0.02549164 0.00764463]\n", "[ 0.01230759 -0.01085155 -0.04953034 0.02548906 0.00764241]\n", "[ 0.01230843 -0.0108523 -0.04952629 0.02548648 0.00764018]\n", "[ 0.01230928 -0.01085304 -0.04952224 0.0254839 0.00763795]\n", "[ 0.01231012 -0.01085379 -0.04951819 0.02548132 0.00763573]\n", "[ 0.01231097 -0.01085453 -0.04951414 0.02547874 0.0076335 ]\n", "[ 0.01231181 -0.01085527 -0.04951009 0.02547616 0.00763127]\n", "[ 0.01231266 -0.01085602 -0.04950604 0.02547358 0.00762905]\n", "[ 0.0123135 -0.01085676 -0.04950199 0.025471 0.00762682]\n", "[ 0.01231434 -0.0108575 -0.04949794 0.02546843 0.0076246 ]\n", "[ 0.01231519 -0.01085824 -0.04949389 0.02546585 0.00762237]\n", "[ 0.01231603 -0.01085899 -0.04948985 0.02546327 0.00762015]\n", "[ 0.01231688 -0.01085973 -0.0494858 0.02546069 0.00761793]\n", "[ 0.01231772 -0.01086047 -0.04948176 0.02545812 0.0076157 ]\n", "[ 0.01231856 -0.01086121 -0.04947771 0.02545554 0.00761348]\n", "[ 0.01231941 -0.01086196 -0.04947366 0.02545296 0.00761125]\n", "[ 0.01232025 -0.0108627 -0.04946962 0.02545039 0.00760903]\n", "[ 0.01232109 -0.01086344 -0.04946558 0.02544781 0.00760681]\n", "[ 0.01232193 -0.01086418 -0.04946153 0.02544524 0.00760459]\n", "[ 0.01232278 -0.01086492 -0.04945749 0.02544266 0.00760237]\n", "[ 0.01232362 -0.01086566 -0.04945345 0.02544009 0.00760014]\n", "[ 0.01232446 -0.0108664 -0.0494494 0.02543751 0.00759792]\n", "[ 0.0123253 -0.01086714 -0.04944536 0.02543494 0.0075957 ]\n", "[ 0.01232614 -0.01086789 -0.04944132 0.02543237 0.00759348]\n", "[ 0.01232699 -0.01086863 -0.04943728 0.02542979 0.00759126]\n", "[ 0.01232783 -0.01086937 -0.04943324 0.02542722 0.00758904]\n", "[ 0.01232867 -0.01087011 -0.0494292 0.02542465 0.00758682]\n", "[ 0.01232951 -0.01087085 -0.04942516 0.02542207 0.0075846 ]\n", "[ 0.01233035 -0.01087159 -0.04942112 0.0254195 0.00758238]\n", "[ 0.01233119 -0.01087233 -0.04941708 0.02541693 0.00758016]\n", "[ 0.01233203 -0.01087307 -0.04941304 0.02541436 0.00757794]\n", "[ 0.01233287 -0.01087381 -0.049409 0.02541179 0.00757572]\n", "[ 0.01233371 -0.01087454 -0.04940497 0.02540922 0.00757351]\n", "[ 0.01233455 -0.01087528 -0.04940093 0.02540665 0.00757129]\n", "[ 0.01233539 -0.01087602 -0.04939689 0.02540408 0.00756907]\n", "[ 0.01233623 -0.01087676 -0.04939286 0.02540151 0.00756685]\n", "[ 0.01233707 -0.0108775 -0.04938882 0.02539894 0.00756464]\n", "[ 0.01233791 -0.01087824 -0.04938479 0.02539637 0.00756242]\n", "[ 0.01233875 -0.01087898 -0.04938075 0.0253938 0.0075602 ]\n", "[ 0.01233959 -0.01087972 -0.04937672 0.02539123 0.00755799]\n", "[ 0.01234043 -0.01088045 -0.04937268 0.02538866 0.00755577]\n", "[ 0.01234127 -0.01088119 -0.04936865 0.02538609 0.00755356]\n", "[ 0.0123421 -0.01088193 -0.04936462 0.02538353 0.00755134]\n", "[ 0.01234294 -0.01088267 -0.04936059 0.02538096 0.00754913]\n", "[ 0.01234378 -0.0108834 -0.04935655 0.02537839 0.00754691]\n", "[ 0.01234462 -0.01088414 -0.04935252 0.02537583 0.0075447 ]\n", "[ 0.01234546 -0.01088488 -0.04934849 0.02537326 0.00754248]\n", "[ 0.01234629 -0.01088562 -0.04934446 0.02537069 0.00754027]\n", "[ 0.01234713 -0.01088635 -0.04934043 0.02536813 0.00753806]\n", "[ 0.01234797 -0.01088709 -0.0493364 0.02536556 0.00753584]\n", "[ 0.01234881 -0.01088783 -0.04933237 0.025363 0.00753363]\n", "[ 0.01234964 -0.01088856 -0.04932834 0.02536043 0.00753142]\n", "[ 0.01235048 -0.0108893 -0.04932432 0.02535787 0.00752921]\n", "[ 0.01235132 -0.01089003 -0.04932029 0.0253553 0.007527 ]\n", "[ 0.01235215 -0.01089077 -0.04931626 0.02535274 0.00752478]\n", "[ 0.01235299 -0.01089151 -0.04931223 0.02535018 0.00752257]\n", "[ 0.01235383 -0.01089224 -0.04930821 0.02534761 0.00752036]\n", "[ 0.01235466 -0.01089298 -0.04930418 0.02534505 0.00751815]\n", "[ 0.0123555 -0.01089371 -0.04930015 0.02534249 0.00751594]\n", "[ 0.01235633 -0.01089445 -0.04929613 0.02533993 0.00751373]\n", "[ 0.01235717 -0.01089518 -0.0492921 0.02533736 0.00751152]\n", "[ 0.01235801 -0.01089592 -0.04928808 0.0253348 0.00750931]\n", "[ 0.01235884 -0.01089665 -0.04928406 0.02533224 0.0075071 ]\n", "[ 0.01235968 -0.01089739 -0.04928003 0.02532968 0.00750489]\n", "[ 0.01236051 -0.01089812 -0.04927601 0.02532712 0.00750268]\n", "[ 0.01236135 -0.01089886 -0.04927199 0.02532456 0.00750048]\n", "[ 0.01236218 -0.01089959 -0.04926797 0.025322 0.00749827]\n", "[ 0.01236301 -0.01090032 -0.04926394 0.02531944 0.00749606]\n", "[ 0.01236385 -0.01090106 -0.04925992 0.02531688 0.00749385]\n", "[ 0.01236468 -0.01090179 -0.0492559 0.02531432 0.00749165]\n", "[ 0.01236552 -0.01090252 -0.04925188 0.02531176 0.00748944]\n", "[ 0.01236635 -0.01090326 -0.04924786 0.02530921 0.00748723]\n", "[ 0.01236718 -0.01090399 -0.04924384 0.02530665 0.00748503]\n", "[ 0.01236802 -0.01090472 -0.04923983 0.02530409 0.00748282]\n", "[ 0.01236885 -0.01090546 -0.04923581 0.02530153 0.00748062]\n", "[ 0.01236968 -0.01090619 -0.04923179 0.02529898 0.00747841]\n", "[ 0.01237052 -0.01090692 -0.04922777 0.02529642 0.00747621]\n", "[ 0.01237135 -0.01090765 -0.04922375 0.02529386 0.007474 ]\n", "[ 0.01237218 -0.01090839 -0.04921974 0.02529131 0.0074718 ]\n", "[ 0.01237301 -0.01090912 -0.04921572 0.02528875 0.00746959]\n", "[ 0.01237385 -0.01090985 -0.04921171 0.02528619 0.00746739]\n", "[ 0.01237468 -0.01091058 -0.04920769 0.02528364 0.00746518]\n", "[ 0.01237551 -0.01091131 -0.04920368 0.02528108 0.00746298]\n", "[ 0.01237634 -0.01091204 -0.04919966 0.02527853 0.00746078]\n", "[ 0.01237717 -0.01091278 -0.04919565 0.02527598 0.00745858]\n", "[ 0.012378 -0.01091351 -0.04919163 0.02527342 0.00745637]\n", "[ 0.01237884 -0.01091424 -0.04918762 0.02527087 0.00745417]\n", "[ 0.01237967 -0.01091497 -0.04918361 0.02526831 0.00745197]\n", "[ 0.0123805 -0.0109157 -0.0491796 0.02526576 0.00744977]\n", "[ 0.01238133 -0.01091643 -0.04917559 0.02526321 0.00744757]\n", "[ 0.01238216 -0.01091716 -0.04917157 0.02526066 0.00744537]\n", "[ 0.01238299 -0.01091789 -0.04916756 0.02525811 0.00744317]\n", "[ 0.01238382 -0.01091862 -0.04916355 0.02525555 0.00744097]\n", "[ 0.01238465 -0.01091935 -0.04915954 0.025253 0.00743877]\n", "[ 0.01238548 -0.01092008 -0.04915553 0.02525045 0.00743657]\n", "[ 0.01238631 -0.01092081 -0.04915153 0.0252479 0.00743437]\n", "[ 0.01238714 -0.01092154 -0.04914752 0.02524535 0.00743217]\n", "[ 0.01238797 -0.01092227 -0.04914351 0.0252428 0.00742997]\n", "[ 0.0123888 -0.010923 -0.0491395 0.02524025 0.00742777]\n", "[ 0.01238963 -0.01092373 -0.04913549 0.0252377 0.00742557]\n", "[ 0.01239046 -0.01092445 -0.04913149 0.02523515 0.00742337]\n", "[ 0.01239128 -0.01092518 -0.04912748 0.0252326 0.00742118]\n", "[ 0.01239211 -0.01092591 -0.04912348 0.02523005 0.00741898]\n", "[ 0.01239294 -0.01092664 -0.04911947 0.02522751 0.00741678]\n", "[ 0.01239377 -0.01092737 -0.04911547 0.02522496 0.00741459]\n", "[ 0.0123946 -0.0109281 -0.04911146 0.02522241 0.00741239]\n", "[ 0.01239543 -0.01092882 -0.04910746 0.02521986 0.00741019]\n", "[ 0.01239625 -0.01092955 -0.04910345 0.02521732 0.007408 ]\n", "[ 0.01239708 -0.01093028 -0.04909945 0.02521477 0.0074058 ]\n", "[ 0.01239791 -0.01093101 -0.04909545 0.02521222 0.00740361]\n", "[ 0.01239874 -0.01093173 -0.04909145 0.02520968 0.00740141]\n", "[ 0.01239956 -0.01093246 -0.04908745 0.02520713 0.00739922]\n", "[ 0.01240039 -0.01093319 -0.04908344 0.02520459 0.00739702]\n", "[ 0.01240122 -0.01093392 -0.04907944 0.02520204 0.00739483]\n", "[ 0.01240204 -0.01093464 -0.04907544 0.0251995 0.00739263]\n", "[ 0.01240287 -0.01093537 -0.04907144 0.02519695 0.00739044]\n", "[ 0.0124037 -0.01093609 -0.04906744 0.02519441 0.00738825]\n", "[ 0.01240452 -0.01093682 -0.04906344 0.02519186 0.00738606]\n", "[ 0.01240535 -0.01093755 -0.04905945 0.02518932 0.00738386]\n", "[ 0.01240617 -0.01093827 -0.04905545 0.02518678 0.00738167]\n", "[ 0.012407 -0.010939 -0.04905145 0.02518423 0.00737948]\n", "[ 0.01240783 -0.01093972 -0.04904745 0.02518169 0.00737729]\n", "[ 0.01240865 -0.01094045 -0.04904346 0.02517915 0.0073751 ]\n", "[ 0.01240948 -0.01094117 -0.04903946 0.02517661 0.0073729 ]\n", "[ 0.0124103 -0.0109419 -0.04903546 0.02517407 0.00737071]\n", "[ 0.01241113 -0.01094262 -0.04903147 0.02517153 0.00736852]\n", "[ 0.01241195 -0.01094335 -0.04902747 0.02516898 0.00736633]\n", "[ 0.01241277 -0.01094407 -0.04902348 0.02516644 0.00736414]\n", "[ 0.0124136 -0.0109448 -0.04901949 0.0251639 0.00736195]\n", "[ 0.01241442 -0.01094552 -0.04901549 0.02516136 0.00735976]\n", "[ 0.01241525 -0.01094625 -0.0490115 0.02515882 0.00735757]\n", "[ 0.01241607 -0.01094697 -0.04900751 0.02515628 0.00735539]\n", "[ 0.01241689 -0.0109477 -0.04900351 0.02515375 0.0073532 ]\n", "[ 0.01241772 -0.01094842 -0.04899952 0.02515121 0.00735101]\n", "[ 0.01241854 -0.01094914 -0.04899553 0.02514867 0.00734882]\n", "[ 0.01241936 -0.01094987 -0.04899154 0.02514613 0.00734663]\n", "[ 0.01242019 -0.01095059 -0.04898755 0.02514359 0.00734445]\n", "[ 0.01242101 -0.01095131 -0.04898356 0.02514106 0.00734226]\n", "[ 0.01242183 -0.01095204 -0.04897957 0.02513852 0.00734007]\n", "[ 0.01242266 -0.01095276 -0.04897558 0.02513598 0.00733789]\n", "[ 0.01242348 -0.01095348 -0.04897159 0.02513344 0.0073357 ]\n", "[ 0.0124243 -0.0109542 -0.0489676 0.02513091 0.00733351]\n", "[ 0.01242512 -0.01095493 -0.04896362 0.02512837 0.00733133]\n", "[ 0.01242594 -0.01095565 -0.04895963 0.02512584 0.00732914]\n", "[ 0.01242677 -0.01095637 -0.04895564 0.0251233 0.00732696]\n", "[ 0.01242759 -0.01095709 -0.04895166 0.02512077 0.00732477]\n", "[ 0.01242841 -0.01095781 -0.04894767 0.02511823 0.00732259]\n", "[ 0.01242923 -0.01095854 -0.04894368 0.0251157 0.00732041]\n", "[ 0.01243005 -0.01095926 -0.0489397 0.02511316 0.00731822]\n", "[ 0.01243087 -0.01095998 -0.04893572 0.02511063 0.00731604]\n", "[ 0.01243169 -0.0109607 -0.04893173 0.0251081 0.00731386]\n", "[ 0.01243251 -0.01096142 -0.04892775 0.02510556 0.00731167]\n", "[ 0.01243333 -0.01096214 -0.04892376 0.02510303 0.00730949]\n", "[ 0.01243415 -0.01096286 -0.04891978 0.0251005 0.00730731]\n", "[ 0.01243497 -0.01096358 -0.0489158 0.02509797 0.00730513]\n", "[ 0.01243579 -0.0109643 -0.04891182 0.02509543 0.00730294]\n", "[ 0.01243661 -0.01096502 -0.04890784 0.0250929 0.00730076]\n", "[ 0.01243743 -0.01096574 -0.04890385 0.02509037 0.00729858]\n", "[ 0.01243825 -0.01096646 -0.04889987 0.02508784 0.0072964 ]\n", "[ 0.01243907 -0.01096718 -0.04889589 0.02508531 0.00729422]\n", "[ 0.01243989 -0.0109679 -0.04889191 0.02508278 0.00729204]\n", "[ 0.01244071 -0.01096862 -0.04888794 0.02508025 0.00728986]\n", "[ 0.01244153 -0.01096934 -0.04888396 0.02507772 0.00728768]\n", "[ 0.01244235 -0.01097006 -0.04887998 0.02507519 0.0072855 ]\n", "[ 0.01244316 -0.01097078 -0.048876 0.02507266 0.00728332]\n", "[ 0.01244398 -0.0109715 -0.04887202 0.02507013 0.00728114]\n", "[ 0.0124448 -0.01097222 -0.04886805 0.02506761 0.00727897]\n", "[ 0.01244562 -0.01097293 -0.04886407 0.02506508 0.00727679]\n", "[ 0.01244644 -0.01097365 -0.04886009 0.02506255 0.00727461]\n", "[ 0.01244725 -0.01097437 -0.04885612 0.02506002 0.00727243]\n", "[ 0.01244807 -0.01097509 -0.04885214 0.0250575 0.00727025]\n", "[ 0.01244889 -0.01097581 -0.04884817 0.02505497 0.00726808]\n", "[ 0.01244971 -0.01097653 -0.04884419 0.02505244 0.0072659 ]\n", "[ 0.01245052 -0.01097724 -0.04884022 0.02504992 0.00726372]\n", "[ 0.01245134 -0.01097796 -0.04883625 0.02504739 0.00726155]\n", "[ 0.01245216 -0.01097868 -0.04883227 0.02504486 0.00725937]\n", "[ 0.01245297 -0.01097939 -0.0488283 0.02504234 0.0072572 ]\n", "[ 0.01245379 -0.01098011 -0.04882433 0.02503981 0.00725502]\n", "[ 0.0124546 -0.01098083 -0.04882036 0.02503729 0.00725285]\n", "[ 0.01245542 -0.01098155 -0.04881639 0.02503477 0.00725067]\n", "[ 0.01245624 -0.01098226 -0.04881241 0.02503224 0.0072485 ]\n", "[ 0.01245705 -0.01098298 -0.04880844 0.02502972 0.00724632]\n", "[ 0.01245787 -0.01098369 -0.04880447 0.02502719 0.00724415]\n", "[ 0.01245868 -0.01098441 -0.04880051 0.02502467 0.00724198]\n", "[ 0.0124595 -0.01098513 -0.04879654 0.02502215 0.0072398 ]\n", "[ 0.01246031 -0.01098584 -0.04879257 0.02501963 0.00723763]\n", "[ 0.01246113 -0.01098656 -0.0487886 0.0250171 0.00723546]\n", "[ 0.01246194 -0.01098727 -0.04878463 0.02501458 0.00723329]\n", "[ 0.01246276 -0.01098799 -0.04878067 0.02501206 0.00723111]\n", "[ 0.01246357 -0.0109887 -0.0487767 0.02500954 0.00722894]\n", "[ 0.01246438 -0.01098942 -0.04877273 0.02500702 0.00722677]\n", "[ 0.0124652 -0.01099013 -0.04876877 0.0250045 0.0072246 ]\n", "[ 0.01246601 -0.01099085 -0.0487648 0.02500198 0.00722243]\n", "[ 0.01246683 -0.01099156 -0.04876084 0.02499946 0.00722026]\n", "[ 0.01246764 -0.01099228 -0.04875687 0.02499694 0.00721809]\n", "[ 0.01246845 -0.01099299 -0.04875291 0.02499442 0.00721592]\n", "[ 0.01246927 -0.01099371 -0.04874894 0.0249919 0.00721375]\n", "[ 0.01247008 -0.01099442 -0.04874498 0.02498938 0.00721158]\n", "[ 0.01247089 -0.01099513 -0.04874102 0.02498686 0.00720941]\n", "[ 0.0124717 -0.01099585 -0.04873706 0.02498435 0.00720724]\n", "[ 0.01247252 -0.01099656 -0.04873309 0.02498183 0.00720507]\n", "[ 0.01247333 -0.01099727 -0.04872913 0.02497931 0.0072029 ]\n", "[ 0.01247414 -0.01099799 -0.04872517 0.02497679 0.00720074]\n", "[ 0.01247495 -0.0109987 -0.04872121 0.02497428 0.00719857]\n", "[ 0.01247576 -0.01099941 -0.04871725 0.02497176 0.0071964 ]\n", "[ 0.01247658 -0.01100013 -0.04871329 0.02496924 0.00719423]\n", "[ 0.01247739 -0.01100084 -0.04870933 0.02496673 0.00719207]\n", "[ 0.0124782 -0.01100155 -0.04870537 0.02496421 0.0071899 ]\n", "[ 0.01247901 -0.01100226 -0.04870142 0.0249617 0.00718773]\n", "[ 0.01247982 -0.01100298 -0.04869746 0.02495918 0.00718557]\n", "[ 0.01248063 -0.01100369 -0.0486935 0.02495667 0.0071834 ]\n", "[ 0.01248144 -0.0110044 -0.04868954 0.02495415 0.00718124]\n", "[ 0.01248225 -0.01100511 -0.04868559 0.02495164 0.00717907]\n", "[ 0.01248306 -0.01100582 -0.04868163 0.02494913 0.00717691]\n", "[ 0.01248387 -0.01100653 -0.04867768 0.02494661 0.00717474]\n", "[ 0.01248468 -0.01100725 -0.04867372 0.0249441 0.00717258]\n", "[ 0.01248549 -0.01100796 -0.04866977 0.02494159 0.00717042]\n", "[ 0.0124863 -0.01100867 -0.04866581 0.02493908 0.00716825]\n", "[ 0.01248711 -0.01100938 -0.04866186 0.02493656 0.00716609]\n", "[ 0.01248792 -0.01101009 -0.0486579 0.02493405 0.00716393]\n", "[ 0.01248873 -0.0110108 -0.04865395 0.02493154 0.00716176]\n", "[ 0.01248954 -0.01101151 -0.04865 0.02492903 0.0071596 ]\n", "[ 0.01249035 -0.01101222 -0.04864605 0.02492652 0.00715744]\n", "[ 0.01249116 -0.01101293 -0.0486421 0.02492401 0.00715528]\n", "[ 0.01249197 -0.01101364 -0.04863814 0.0249215 0.00715312]\n", "[ 0.01249278 -0.01101435 -0.04863419 0.02491899 0.00715095]\n", "[ 0.01249358 -0.01101506 -0.04863024 0.02491648 0.00714879]\n", "[ 0.01249439 -0.01101577 -0.04862629 0.02491397 0.00714663]\n", "[ 0.0124952 -0.01101648 -0.04862234 0.02491146 0.00714447]\n", "[ 0.01249601 -0.01101719 -0.04861839 0.02490895 0.00714231]\n", "[ 0.01249681 -0.0110179 -0.04861445 0.02490644 0.00714015]\n", "[ 0.01249762 -0.0110186 -0.0486105 0.02490393 0.00713799]\n", "[ 0.01249843 -0.01101931 -0.04860655 0.02490143 0.00713583]\n", "[ 0.01249924 -0.01102002 -0.0486026 0.02489892 0.00713368]\n", "[ 0.01250004 -0.01102073 -0.04859866 0.02489641 0.00713152]\n", "[ 0.01250085 -0.01102144 -0.04859471 0.02489391 0.00712936]\n", "[ 0.01250166 -0.01102215 -0.04859076 0.0248914 0.0071272 ]\n", "[ 0.01250246 -0.01102285 -0.04858682 0.02488889 0.00712504]\n", "[ 0.01250327 -0.01102356 -0.04858287 0.02488639 0.00712289]\n", "[ 0.01250408 -0.01102427 -0.04857893 0.02488388 0.00712073]\n", "[ 0.01250488 -0.01102498 -0.04857499 0.02488138 0.00711857]\n", "[ 0.01250569 -0.01102568 -0.04857104 0.02487887 0.00711641]\n", "[ 0.01250649 -0.01102639 -0.0485671 0.02487637 0.00711426]\n", "[ 0.0125073 -0.0110271 -0.04856316 0.02487386 0.0071121 ]\n", "[ 0.0125081 -0.01102781 -0.04855921 0.02487136 0.00710995]\n", "[ 0.01250891 -0.01102851 -0.04855527 0.02486885 0.00710779]\n", "[ 0.01250971 -0.01102922 -0.04855133 0.02486635 0.00710564]\n", "[ 0.01251052 -0.01102993 -0.04854739 0.02486385 0.00710348]\n", "[ 0.01251132 -0.01103063 -0.04854345 0.02486135 0.00710133]\n", "[ 0.01251213 -0.01103134 -0.04853951 0.02485884 0.00709917]\n", "[ 0.01251293 -0.01103204 -0.04853557 0.02485634 0.00709702]\n", "[ 0.01251374 -0.01103275 -0.04853163 0.02485384 0.00709486]\n", "[ 0.01251454 -0.01103345 -0.04852769 0.02485134 0.00709271]\n", "[ 0.01251534 -0.01103416 -0.04852375 0.02484884 0.00709056]\n", "[ 0.01251615 -0.01103487 -0.04851982 0.02484634 0.00708841]\n", "[ 0.01251695 -0.01103557 -0.04851588 0.02484384 0.00708625]\n", "[ 0.01251776 -0.01103628 -0.04851194 0.02484133 0.0070841 ]\n", "[ 0.01251856 -0.01103698 -0.04850801 0.02483883 0.00708195]\n", "[ 0.01251936 -0.01103769 -0.04850407 0.02483634 0.0070798 ]\n", "[ 0.01252016 -0.01103839 -0.04850013 0.02483384 0.00707765]\n", "[ 0.01252097 -0.01103909 -0.0484962 0.02483134 0.00707549]\n", "[ 0.01252177 -0.0110398 -0.04849226 0.02482884 0.00707334]\n", "[ 0.01252257 -0.0110405 -0.04848833 0.02482634 0.00707119]\n", "[ 0.01252337 -0.01104121 -0.0484844 0.02482384 0.00706904]\n", "[ 0.01252418 -0.01104191 -0.04848046 0.02482134 0.00706689]\n", "[ 0.01252498 -0.01104261 -0.04847653 0.02481885 0.00706474]\n", "[ 0.01252578 -0.01104332 -0.0484726 0.02481635 0.00706259]\n", "[ 0.01252658 -0.01104402 -0.04846866 0.02481385 0.00706045]\n", "[ 0.01252738 -0.01104472 -0.04846473 0.02481136 0.0070583 ]\n", "[ 0.01252818 -0.01104543 -0.0484608 0.02480886 0.00705615]\n", "[ 0.01252899 -0.01104613 -0.04845687 0.02480636 0.007054 ]\n", "[ 0.01252979 -0.01104683 -0.04845294 0.02480387 0.00705185]\n", "[ 0.01253059 -0.01104754 -0.04844901 0.02480137 0.0070497 ]\n", "[ 0.01253139 -0.01104824 -0.04844508 0.02479888 0.00704756]\n", "[ 0.01253219 -0.01104894 -0.04844115 0.02479638 0.00704541]\n", "[ 0.01253299 -0.01104964 -0.04843722 0.02479389 0.00704326]\n", "[ 0.01253379 -0.01105035 -0.0484333 0.02479139 0.00704112]\n", "[ 0.01253459 -0.01105105 -0.04842937 0.0247889 0.00703897]\n", "[ 0.01253539 -0.01105175 -0.04842544 0.02478641 0.00703683]\n", "[ 0.01253619 -0.01105245 -0.04842151 0.02478391 0.00703468]\n", "[ 0.01253699 -0.01105315 -0.04841759 0.02478142 0.00703253]\n", "[ 0.01253779 -0.01105385 -0.04841366 0.02477893 0.00703039]\n", "[ 0.01253859 -0.01105455 -0.04840974 0.02477644 0.00702824]\n", "[ 0.01253938 -0.01105526 -0.04840581 0.02477395 0.0070261 ]\n", "[ 0.01254018 -0.01105596 -0.04840189 0.02477145 0.00702396]\n", "[ 0.01254098 -0.01105666 -0.04839796 0.02476896 0.00702181]\n", "[ 0.01254178 -0.01105736 -0.04839404 0.02476647 0.00701967]\n", "[ 0.01254258 -0.01105806 -0.04839012 0.02476398 0.00701753]\n", "[ 0.01254338 -0.01105876 -0.04838619 0.02476149 0.00701538]\n", "[ 0.01254417 -0.01105946 -0.04838227 0.024759 0.00701324]\n", "[ 0.01254497 -0.01106016 -0.04837835 0.02475651 0.0070111 ]\n", "[ 0.01254577 -0.01106086 -0.04837443 0.02475402 0.00700896]\n", "[ 0.01254657 -0.01106156 -0.04837051 0.02475153 0.00700681]\n", "[ 0.01254737 -0.01106226 -0.04836658 0.02474904 0.00700467]\n", "[ 0.01254816 -0.01106296 -0.04836266 0.02474655 0.00700253]\n", "[ 0.01254896 -0.01106366 -0.04835874 0.02474407 0.00700039]\n", "[ 0.01254976 -0.01106435 -0.04835483 0.02474158 0.00699825]\n", "[ 0.01255055 -0.01106505 -0.04835091 0.02473909 0.00699611]\n", "[ 0.01255135 -0.01106575 -0.04834699 0.0247366 0.00699397]\n", "[ 0.01255215 -0.01106645 -0.04834307 0.02473412 0.00699183]\n", "[ 0.01255294 -0.01106715 -0.04833915 0.02473163 0.00698969]\n", "[ 0.01255374 -0.01106785 -0.04833524 0.02472914 0.00698755]\n", "[ 0.01255453 -0.01106855 -0.04833132 0.02472666 0.00698541]\n", "[ 0.01255533 -0.01106924 -0.0483274 0.02472417 0.00698327]\n", "[ 0.01255613 -0.01106994 -0.04832349 0.02472169 0.00698113]\n", "[ 0.01255692 -0.01107064 -0.04831957 0.0247192 0.006979 ]\n", "[ 0.01255772 -0.01107134 -0.04831566 0.02471672 0.00697686]\n", "[ 0.01255851 -0.01107203 -0.04831174 0.02471423 0.00697472]\n", "[ 0.01255931 -0.01107273 -0.04830783 0.02471175 0.00697258]\n", "[ 0.0125601 -0.01107343 -0.04830391 0.02470926 0.00697045]\n", "[ 0.0125609 -0.01107413 -0.0483 0.02470678 0.00696831]\n", "[ 0.01256169 -0.01107482 -0.04829609 0.0247043 0.00696617]\n", "[ 0.01256248 -0.01107552 -0.04829218 0.02470181 0.00696404]\n", "[ 0.01256328 -0.01107622 -0.04828826 0.02469933 0.0069619 ]\n", "[ 0.01256407 -0.01107691 -0.04828435 0.02469685 0.00695977]\n", "[ 0.01256487 -0.01107761 -0.04828044 0.02469437 0.00695763]\n", "[ 0.01256566 -0.0110783 -0.04827653 0.02469189 0.0069555 ]\n", "[ 0.01256645 -0.011079 -0.04827262 0.0246894 0.00695336]\n", "[ 0.01256725 -0.0110797 -0.04826871 0.02468692 0.00695123]\n", "[ 0.01256804 -0.01108039 -0.0482648 0.02468444 0.00694909]\n", "[ 0.01256883 -0.01108109 -0.04826089 0.02468196 0.00694696]\n", "[ 0.01256963 -0.01108178 -0.04825699 0.02467948 0.00694483]\n", "[ 0.01257042 -0.01108248 -0.04825308 0.024677 0.00694269]\n", "[ 0.01257121 -0.01108317 -0.04824917 0.02467452 0.00694056]\n", "[ 0.012572 -0.01108387 -0.04824526 0.02467204 0.00693843]\n", "[ 0.0125728 -0.01108456 -0.04824136 0.02466956 0.0069363 ]\n", "[ 0.01257359 -0.01108526 -0.04823745 0.02466709 0.00693416]\n", "[ 0.01257438 -0.01108595 -0.04823355 0.02466461 0.00693203]\n", "[ 0.01257517 -0.01108665 -0.04822964 0.02466213 0.0069299 ]\n", "[ 0.01257596 -0.01108734 -0.04822574 0.02465965 0.00692777]\n", "[ 0.01257675 -0.01108803 -0.04822183 0.02465717 0.00692564]\n", "[ 0.01257755 -0.01108873 -0.04821793 0.0246547 0.00692351]\n", "[ 0.01257834 -0.01108942 -0.04821402 0.02465222 0.00692138]\n", "[ 0.01257913 -0.01109011 -0.04821012 0.02464974 0.00691925]\n", "[ 0.01257992 -0.01109081 -0.04820622 0.02464727 0.00691712]\n", "[ 0.01258071 -0.0110915 -0.04820232 0.02464479 0.00691499]\n", "[ 0.0125815 -0.01109219 -0.04819841 0.02464232 0.00691286]\n", "[ 0.01258229 -0.01109289 -0.04819451 0.02463984 0.00691073]\n", "[ 0.01258308 -0.01109358 -0.04819061 0.02463737 0.0069086 ]\n", "[ 0.01258387 -0.01109427 -0.04818671 0.02463489 0.00690647]\n", "[ 0.01258466 -0.01109497 -0.04818281 0.02463242 0.00690435]\n", "[ 0.01258545 -0.01109566 -0.04817891 0.02462994 0.00690222]\n", "[ 0.01258624 -0.01109635 -0.04817501 0.02462747 0.00690009]\n", "[ 0.01258703 -0.01109704 -0.04817111 0.024625 0.00689796]\n", "[ 0.01258782 -0.01109773 -0.04816722 0.02462252 0.00689584]\n", "[ 0.01258861 -0.01109843 -0.04816332 0.02462005 0.00689371]\n", "[ 0.0125894 -0.01109912 -0.04815942 0.02461758 0.00689158]\n", "[ 0.01259018 -0.01109981 -0.04815552 0.0246151 0.00688946]\n", "[ 0.01259097 -0.0111005 -0.04815163 0.02461263 0.00688733]\n", "[ 0.01259176 -0.01110119 -0.04814773 0.02461016 0.00688521]\n", "[ 0.01259255 -0.01110188 -0.04814384 0.02460769 0.00688308]\n", "[ 0.01259334 -0.01110257 -0.04813994 0.02460522 0.00688096]\n", "[ 0.01259412 -0.01110326 -0.04813605 0.02460275 0.00687883]\n", "[ 0.01259491 -0.01110395 -0.04813215 0.02460028 0.00687671]\n", "[ 0.0125957 -0.01110464 -0.04812826 0.02459781 0.00687458]\n", "[ 0.01259649 -0.01110533 -0.04812436 0.02459534 0.00687246]\n", "[ 0.01259727 -0.01110602 -0.04812047 0.02459287 0.00687034]\n", "[ 0.01259806 -0.01110671 -0.04811658 0.0245904 0.00686821]\n", "[ 0.01259885 -0.0111074 -0.04811269 0.02458793 0.00686609]\n", "[ 0.01259964 -0.01110809 -0.04810879 0.02458546 0.00686397]\n", "[ 0.01260042 -0.01110878 -0.0481049 0.02458299 0.00686185]\n", "[ 0.01260121 -0.01110947 -0.04810101 0.02458053 0.00685972]\n", "[ 0.01260199 -0.01111016 -0.04809712 0.02457806 0.0068576 ]\n", "[ 0.01260278 -0.01111085 -0.04809323 0.02457559 0.00685548]\n", "[ 0.01260357 -0.01111154 -0.04808934 0.02457312 0.00685336]\n", "[ 0.01260435 -0.01111223 -0.04808545 0.02457066 0.00685124]\n", "[ 0.01260514 -0.01111292 -0.04808156 0.02456819 0.00684912]\n", "[ 0.01260592 -0.01111361 -0.04807768 0.02456573 0.006847 ]\n", "[ 0.01260671 -0.01111429 -0.04807379 0.02456326 0.00684488]\n", "[ 0.01260749 -0.01111498 -0.0480699 0.02456079 0.00684276]\n", "[ 0.01260828 -0.01111567 -0.04806601 0.02455833 0.00684064]\n", "[ 0.01260906 -0.01111636 -0.04806213 0.02455586 0.00683852]\n", "[ 0.01260985 -0.01111705 -0.04805824 0.0245534 0.0068364 ]\n", "[ 0.01261063 -0.01111773 -0.04805436 0.02455094 0.00683428]\n", "[ 0.01261142 -0.01111842 -0.04805047 0.02454847 0.00683216]\n", "[ 0.0126122 -0.01111911 -0.04804659 0.02454601 0.00683005]\n", "[ 0.01261299 -0.0111198 -0.0480427 0.02454354 0.00682793]\n", "[ 0.01261377 -0.01112048 -0.04803882 0.02454108 0.00682581]\n", "[ 0.01261455 -0.01112117 -0.04803494 0.02453862 0.00682369]\n", "[ 0.01261534 -0.01112186 -0.04803105 0.02453616 0.00682158]\n", "[ 0.01261612 -0.01112254 -0.04802717 0.02453369 0.00681946]\n", "[ 0.0126169 -0.01112323 -0.04802329 0.02453123 0.00681734]\n", "[ 0.01261769 -0.01112392 -0.04801941 0.02452877 0.00681523]\n", "[ 0.01261847 -0.0111246 -0.04801552 0.02452631 0.00681311]\n", "[ 0.01261925 -0.01112529 -0.04801164 0.02452385 0.006811 ]\n", "[ 0.01262003 -0.01112597 -0.04800776 0.02452139 0.00680888]\n", "[ 0.01262082 -0.01112666 -0.04800388 0.02451893 0.00680677]\n", "[ 0.0126216 -0.01112734 -0.048 0.02451647 0.00680465]\n", "[ 0.01262238 -0.01112803 -0.04799613 0.02451401 0.00680254]\n", "[ 0.01262316 -0.01112872 -0.04799225 0.02451155 0.00680042]\n", "[ 0.01262395 -0.0111294 -0.04798837 0.02450909 0.00679831]\n", "[ 0.01262473 -0.01113009 -0.04798449 0.02450663 0.0067962 ]\n", "[ 0.01262551 -0.01113077 -0.04798061 0.02450417 0.00679408]\n", "[ 0.01262629 -0.01113145 -0.04797674 0.02450171 0.00679197]\n", "[ 0.01262707 -0.01113214 -0.04797286 0.02449926 0.00678986]\n", "[ 0.01262785 -0.01113282 -0.04796898 0.0244968 0.00678775]\n", "[ 0.01262863 -0.01113351 -0.04796511 0.02449434 0.00678563]\n", "[ 0.01262941 -0.01113419 -0.04796123 0.02449188 0.00678352]\n", "[ 0.01263019 -0.01113488 -0.04795736 0.02448943 0.00678141]\n", "[ 0.01263097 -0.01113556 -0.04795348 0.02448697 0.0067793 ]\n", "[ 0.01263175 -0.01113624 -0.04794961 0.02448452 0.00677719]\n", "[ 0.01263253 -0.01113693 -0.04794574 0.02448206 0.00677508]\n", "[ 0.01263331 -0.01113761 -0.04794186 0.0244796 0.00677297]\n", "[ 0.01263409 -0.01113829 -0.04793799 0.02447715 0.00677086]\n", "[ 0.01263487 -0.01113898 -0.04793412 0.02447469 0.00676875]\n", "[ 0.01263565 -0.01113966 -0.04793025 0.02447224 0.00676664]\n", "[ 0.01263643 -0.01114034 -0.04792638 0.02446979 0.00676453]\n", "[ 0.01263721 -0.01114102 -0.04792251 0.02446733 0.00676242]\n", "[ 0.01263799 -0.01114171 -0.04791864 0.02446488 0.00676031]\n", "[ 0.01263877 -0.01114239 -0.04791477 0.02446243 0.0067582 ]\n", "[ 0.01263955 -0.01114307 -0.0479109 0.02445997 0.0067561 ]\n", "[ 0.01264033 -0.01114375 -0.04790703 0.02445752 0.00675399]\n", "[ 0.0126411 -0.01114443 -0.04790316 0.02445507 0.00675188]\n", "[ 0.01264188 -0.01114512 -0.04789929 0.02445262 0.00674977]\n", "[ 0.01264266 -0.0111458 -0.04789542 0.02445016 0.00674767]\n", "[ 0.01264344 -0.01114648 -0.04789156 0.02444771 0.00674556]\n", "[ 0.01264422 -0.01114716 -0.04788769 0.02444526 0.00674345]\n", "[ 0.01264499 -0.01114784 -0.04788382 0.02444281 0.00674135]\n", "[ 0.01264577 -0.01114852 -0.04787996 0.02444036 0.00673924]\n", "[ 0.01264655 -0.0111492 -0.04787609 0.02443791 0.00673714]\n", "[ 0.01264732 -0.01114988 -0.04787223 0.02443546 0.00673503]\n", "[ 0.0126481 -0.01115056 -0.04786836 0.02443301 0.00673293]\n", "[ 0.01264888 -0.01115125 -0.0478645 0.02443056 0.00673082]\n", "[ 0.01264965 -0.01115193 -0.04786063 0.02442811 0.00672872]\n", "[ 0.01265043 -0.01115261 -0.04785677 0.02442566 0.00672661]\n", "[ 0.01265121 -0.01115329 -0.04785291 0.02442321 0.00672451]\n", "[ 0.01265198 -0.01115397 -0.04784904 0.02442077 0.00672241]\n", "[ 0.01265276 -0.01115464 -0.04784518 0.02441832 0.0067203 ]\n", "[ 0.01265353 -0.01115532 -0.04784132 0.02441587 0.0067182 ]\n", "[ 0.01265431 -0.011156 -0.04783746 0.02441342 0.0067161 ]\n", "[ 0.01265509 -0.01115668 -0.0478336 0.02441098 0.00671399]\n", "[ 0.01265586 -0.01115736 -0.04782974 0.02440853 0.00671189]\n", "[ 0.01265664 -0.01115804 -0.04782588 0.02440608 0.00670979]\n", "[ 0.01265741 -0.01115872 -0.04782202 0.02440364 0.00670769]\n", "[ 0.01265819 -0.0111594 -0.04781816 0.02440119 0.00670559]\n", "[ 0.01265896 -0.01116008 -0.0478143 0.02439875 0.00670349]\n", "[ 0.01265973 -0.01116075 -0.04781044 0.0243963 0.00670139]\n", "[ 0.01266051 -0.01116143 -0.04780658 0.02439386 0.00669929]\n", "[ 0.01266128 -0.01116211 -0.04780273 0.02439141 0.00669719]\n", "[ 0.01266206 -0.01116279 -0.04779887 0.02438897 0.00669509]\n", "[ 0.01266283 -0.01116347 -0.04779501 0.02438653 0.00669299]\n", "[ 0.0126636 -0.01116414 -0.04779116 0.02438408 0.00669089]\n", "[ 0.01266438 -0.01116482 -0.0477873 0.02438164 0.00668879]\n", "[ 0.01266515 -0.0111655 -0.04778345 0.0243792 0.00668669]\n", "[ 0.01266592 -0.01116618 -0.04777959 0.02437675 0.00668459]\n", "[ 0.0126667 -0.01116685 -0.04777574 0.02437431 0.00668249]\n", "[ 0.01266747 -0.01116753 -0.04777188 0.02437187 0.0066804 ]\n", "[ 0.01266824 -0.01116821 -0.04776803 0.02436943 0.0066783 ]\n", "[ 0.01266902 -0.01116888 -0.04776418 0.02436699 0.0066762 ]\n", "[ 0.01266979 -0.01116956 -0.04776033 0.02436454 0.0066741 ]\n", "[ 0.01267056 -0.01117024 -0.04775647 0.0243621 0.00667201]\n", "[ 0.01267133 -0.01117091 -0.04775262 0.02435966 0.00666991]\n", "[ 0.0126721 -0.01117159 -0.04774877 0.02435722 0.00666781]\n", "[ 0.01267288 -0.01117226 -0.04774492 0.02435478 0.00666572]\n", "[ 0.01267365 -0.01117294 -0.04774107 0.02435234 0.00666362]\n", "[ 0.01267442 -0.01117362 -0.04773722 0.0243499 0.00666153]\n", "[ 0.01267519 -0.01117429 -0.04773337 0.02434746 0.00665943]\n", "[ 0.01267596 -0.01117497 -0.04772952 0.02434503 0.00665734]\n", "[ 0.01267673 -0.01117564 -0.04772567 0.02434259 0.00665524]\n", "[ 0.0126775 -0.01117632 -0.04772182 0.02434015 0.00665315]\n", "[ 0.01267827 -0.01117699 -0.04771798 0.02433771 0.00665106]\n", "[ 0.01267904 -0.01117767 -0.04771413 0.02433527 0.00664896]\n", "[ 0.01267982 -0.01117834 -0.04771028 0.02433284 0.00664687]\n", "[ 0.01268059 -0.01117901 -0.04770643 0.0243304 0.00664478]\n", "[ 0.01268136 -0.01117969 -0.04770259 0.02432796 0.00664268]\n", "[ 0.01268213 -0.01118036 -0.04769874 0.02432553 0.00664059]\n", "[ 0.0126829 -0.01118104 -0.0476949 0.02432309 0.0066385 ]\n", "[ 0.01268366 -0.01118171 -0.04769105 0.02432066 0.00663641]\n", "[ 0.01268443 -0.01118238 -0.04768721 0.02431822 0.00663431]\n", "[ 0.0126852 -0.01118306 -0.04768336 0.02431578 0.00663222]\n", "[ 0.01268597 -0.01118373 -0.04767952 0.02431335 0.00663013]\n", "[ 0.01268674 -0.0111844 -0.04767568 0.02431092 0.00662804]\n", "[ 0.01268751 -0.01118508 -0.04767183 0.02430848 0.00662595]\n", "[ 0.01268828 -0.01118575 -0.04766799 0.02430605 0.00662386]\n", "[ 0.01268905 -0.01118642 -0.04766415 0.02430361 0.00662177]\n", "[ 0.01268982 -0.0111871 -0.04766031 0.02430118 0.00661968]\n", "[ 0.01269058 -0.01118777 -0.04765647 0.02429875 0.00661759]\n", "[ 0.01269135 -0.01118844 -0.04765263 0.02429631 0.0066155 ]\n", "[ 0.01269212 -0.01118911 -0.04764879 0.02429388 0.00661341]\n", "[ 0.01269289 -0.01118978 -0.04764495 0.02429145 0.00661133]\n", "[ 0.01269365 -0.01119046 -0.04764111 0.02428902 0.00660924]\n", "[ 0.01269442 -0.01119113 -0.04763727 0.02428659 0.00660715]\n", "[ 0.01269519 -0.0111918 -0.04763343 0.02428416 0.00660506]\n", "[ 0.01269596 -0.01119247 -0.04762959 0.02428173 0.00660297]\n", "[ 0.01269672 -0.01119314 -0.04762576 0.02427929 0.00660089]\n", "[ 0.01269749 -0.01119381 -0.04762192 0.02427686 0.0065988 ]\n", "[ 0.01269826 -0.01119448 -0.04761808 0.02427443 0.00659671]\n", "[ 0.01269902 -0.01119516 -0.04761425 0.024272 0.00659463]\n", "[ 0.01269979 -0.01119583 -0.04761041 0.02426958 0.00659254]\n", "[ 0.01270055 -0.0111965 -0.04760658 0.02426715 0.00659046]\n", "[ 0.01270132 -0.01119717 -0.04760274 0.02426472 0.00658837]\n", "[ 0.01270209 -0.01119784 -0.04759891 0.02426229 0.00658628]\n", "[ 0.01270285 -0.01119851 -0.04759507 0.02425986 0.0065842 ]\n", "[ 0.01270362 -0.01119918 -0.04759124 0.02425743 0.00658212]\n", "[ 0.01270438 -0.01119985 -0.04758741 0.02425501 0.00658003]\n", "[ 0.01270515 -0.01120052 -0.04758357 0.02425258 0.00657795]\n", "[ 0.01270591 -0.01120119 -0.04757974 0.02425015 0.00657586]\n", "[ 0.01270668 -0.01120186 -0.04757591 0.02424772 0.00657378]\n", "[ 0.01270744 -0.01120253 -0.04757208 0.0242453 0.0065717 ]\n", "[ 0.01270821 -0.01120319 -0.04756825 0.02424287 0.00656961]\n", "[ 0.01270897 -0.01120386 -0.04756442 0.02424045 0.00656753]\n", "[ 0.01270974 -0.01120453 -0.04756059 0.02423802 0.00656545]\n", "[ 0.0127105 -0.0112052 -0.04755676 0.0242356 0.00656337]\n", "[ 0.01271126 -0.01120587 -0.04755293 0.02423317 0.00656129]\n", "[ 0.01271203 -0.01120654 -0.0475491 0.02423075 0.0065592 ]\n", "[ 0.01271279 -0.01120721 -0.04754527 0.02422832 0.00655712]\n", "[ 0.01271355 -0.01120787 -0.04754144 0.0242259 0.00655504]\n", "[ 0.01271432 -0.01120854 -0.04753761 0.02422347 0.00655296]\n", "[ 0.01271508 -0.01120921 -0.04753379 0.02422105 0.00655088]\n", "[ 0.01271584 -0.01120988 -0.04752996 0.02421863 0.0065488 ]\n", "[ 0.01271661 -0.01121054 -0.04752613 0.02421621 0.00654672]\n", "[ 0.01271737 -0.01121121 -0.04752231 0.02421378 0.00654464]\n", "[ 0.01271813 -0.01121188 -0.04751848 0.02421136 0.00654256]\n", "[ 0.01271889 -0.01121255 -0.04751466 0.02420894 0.00654048]\n", "[ 0.01271966 -0.01121321 -0.04751083 0.02420652 0.0065384 ]\n", "[ 0.01272042 -0.01121388 -0.04750701 0.0242041 0.00653633]\n", "[ 0.01272118 -0.01121455 -0.04750318 0.02420168 0.00653425]\n", "[ 0.01272194 -0.01121521 -0.04749936 0.02419925 0.00653217]\n", "[ 0.0127227 -0.01121588 -0.04749554 0.02419683 0.00653009]\n", "[ 0.01272346 -0.01121655 -0.04749172 0.02419441 0.00652801]\n", "[ 0.01272423 -0.01121721 -0.04748789 0.02419199 0.00652594]\n", "[ 0.01272499 -0.01121788 -0.04748407 0.02418958 0.00652386]\n", "[ 0.01272575 -0.01121854 -0.04748025 0.02418716 0.00652178]\n", "[ 0.01272651 -0.01121921 -0.04747643 0.02418474 0.00651971]\n", "[ 0.01272727 -0.01121988 -0.04747261 0.02418232 0.00651763]\n", "[ 0.01272803 -0.01122054 -0.04746879 0.0241799 0.00651556]\n", "[ 0.01272879 -0.01122121 -0.04746497 0.02417748 0.00651348]\n", "[ 0.01272955 -0.01122187 -0.04746115 0.02417506 0.00651141]\n", "[ 0.01273031 -0.01122254 -0.04745733 0.02417265 0.00650933]\n", "[ 0.01273107 -0.0112232 -0.04745351 0.02417023 0.00650726]\n", "[ 0.01273183 -0.01122386 -0.0474497 0.02416781 0.00650518]\n", "[ 0.01273259 -0.01122453 -0.04744588 0.0241654 0.00650311]\n", "[ 0.01273335 -0.01122519 -0.04744206 0.02416298 0.00650104]\n", "[ 0.01273411 -0.01122586 -0.04743825 0.02416057 0.00649896]\n", "[ 0.01273487 -0.01122652 -0.04743443 0.02415815 0.00649689]\n", "[ 0.01273562 -0.01122719 -0.04743061 0.02415573 0.00649482]\n", "[ 0.01273638 -0.01122785 -0.0474268 0.02415332 0.00649274]\n", "[ 0.01273714 -0.01122851 -0.04742298 0.0241509 0.00649067]\n", "[ 0.0127379 -0.01122918 -0.04741917 0.02414849 0.0064886 ]\n", "[ 0.01273866 -0.01122984 -0.04741536 0.02414608 0.00648653]\n", "[ 0.01273942 -0.0112305 -0.04741154 0.02414366 0.00648446]\n", "[ 0.01274017 -0.01123117 -0.04740773 0.02414125 0.00648239]\n", "[ 0.01274093 -0.01123183 -0.04740392 0.02413884 0.00648031]\n", "[ 0.01274169 -0.01123249 -0.0474001 0.02413642 0.00647824]\n", "[ 0.01274245 -0.01123315 -0.04739629 0.02413401 0.00647617]\n", "[ 0.0127432 -0.01123382 -0.04739248 0.0241316 0.0064741 ]\n", "[ 0.01274396 -0.01123448 -0.04738867 0.02412919 0.00647203]\n", "[ 0.01274472 -0.01123514 -0.04738486 0.02412677 0.00646996]\n", "[ 0.01274548 -0.0112358 -0.04738105 0.02412436 0.00646789]\n", "[ 0.01274623 -0.01123647 -0.04737724 0.02412195 0.00646583]\n", "[ 0.01274699 -0.01123713 -0.04737343 0.02411954 0.00646376]\n", "[ 0.01274774 -0.01123779 -0.04736962 0.02411713 0.00646169]\n", "[ 0.0127485 -0.01123845 -0.04736581 0.02411472 0.00645962]\n", "[ 0.01274926 -0.01123911 -0.04736201 0.02411231 0.00645755]\n", "[ 0.01275001 -0.01123977 -0.0473582 0.0241099 0.00645549]\n", "[ 0.01275077 -0.01124043 -0.04735439 0.02410749 0.00645342]\n", "[ 0.01275152 -0.01124109 -0.04735058 0.02410508 0.00645135]\n", "[ 0.01275228 -0.01124176 -0.04734678 0.02410267 0.00644928]\n", "[ 0.01275303 -0.01124242 -0.04734297 0.02410027 0.00644722]\n", "[ 0.01275379 -0.01124308 -0.04733917 0.02409786 0.00644515]\n", "[ 0.01275454 -0.01124374 -0.04733536 0.02409545 0.00644309]\n", "[ 0.0127553 -0.0112444 -0.04733156 0.02409304 0.00644102]\n", "[ 0.01275605 -0.01124506 -0.04732775 0.02409064 0.00643896]\n", "[ 0.01275681 -0.01124572 -0.04732395 0.02408823 0.00643689]\n", "[ 0.01275756 -0.01124638 -0.04732015 0.02408582 0.00643483]\n", "[ 0.01275832 -0.01124704 -0.04731634 0.02408342 0.00643276]\n", "[ 0.01275907 -0.0112477 -0.04731254 0.02408101 0.0064307 ]\n", "[ 0.01275982 -0.01124835 -0.04730874 0.0240786 0.00642863]\n", "[ 0.01276058 -0.01124901 -0.04730494 0.0240762 0.00642657]\n", "[ 0.01276133 -0.01124967 -0.04730114 0.02407379 0.00642451]\n", "[ 0.01276209 -0.01125033 -0.04729734 0.02407139 0.00642244]\n", "[ 0.01276284 -0.01125099 -0.04729354 0.02406898 0.00642038]\n", "[ 0.01276359 -0.01125165 -0.04728974 0.02406658 0.00641832]\n", "[ 0.01276434 -0.01125231 -0.04728594 0.02406418 0.00641626]\n", "[ 0.0127651 -0.01125297 -0.04728214 0.02406177 0.00641419]\n", "[ 0.01276585 -0.01125362 -0.04727834 0.02405937 0.00641213]\n", "[ 0.0127666 -0.01125428 -0.04727454 0.02405697 0.00641007]\n", "[ 0.01276735 -0.01125494 -0.04727074 0.02405456 0.00640801]\n", "[ 0.01276811 -0.0112556 -0.04726695 0.02405216 0.00640595]\n", "[ 0.01276886 -0.01125625 -0.04726315 0.02404976 0.00640389]\n", "[ 0.01276961 -0.01125691 -0.04725935 0.02404736 0.00640183]\n", "[ 0.01277036 -0.01125757 -0.04725556 0.02404496 0.00639977]\n", "[ 0.01277111 -0.01125823 -0.04725176 0.02404255 0.00639771]\n", "[ 0.01277187 -0.01125888 -0.04724797 0.02404015 0.00639565]\n", "[ 0.01277262 -0.01125954 -0.04724417 0.02403775 0.00639359]\n", "[ 0.01277337 -0.0112602 -0.04724038 0.02403535 0.00639153]\n", "[ 0.01277412 -0.01126085 -0.04723658 0.02403295 0.00638947]\n", "[ 0.01277487 -0.01126151 -0.04723279 0.02403055 0.00638741]\n", "[ 0.01277562 -0.01126217 -0.047229 0.02402815 0.00638536]\n", "[ 0.01277637 -0.01126282 -0.0472252 0.02402575 0.0063833 ]\n", "[ 0.01277712 -0.01126348 -0.04722141 0.02402335 0.00638124]\n", "[ 0.01277787 -0.01126413 -0.04721762 0.02402096 0.00637918]\n", "[ 0.01277862 -0.01126479 -0.04721383 0.02401856 0.00637713]\n", "[ 0.01277937 -0.01126545 -0.04721004 0.02401616 0.00637507]\n", "[ 0.01278012 -0.0112661 -0.04720625 0.02401376 0.00637301]\n", "[ 0.01278087 -0.01126676 -0.04720246 0.02401136 0.00637096]\n", "[ 0.01278162 -0.01126741 -0.04719867 0.02400897 0.0063689 ]\n", "[ 0.01278237 -0.01126807 -0.04719488 0.02400657 0.00636685]\n", "[ 0.01278312 -0.01126872 -0.04719109 0.02400417 0.00636479]\n", "[ 0.01278387 -0.01126938 -0.0471873 0.02400178 0.00636274]\n", "[ 0.01278461 -0.01127003 -0.04718351 0.02399938 0.00636068]\n", "[ 0.01278536 -0.01127069 -0.04717973 0.02399699 0.00635863]\n", "[ 0.01278611 -0.01127134 -0.04717594 0.02399459 0.00635657]\n", "[ 0.01278686 -0.01127199 -0.04717215 0.0239922 0.00635452]\n", "[ 0.01278761 -0.01127265 -0.04716837 0.0239898 0.00635246]\n", "[ 0.01278836 -0.0112733 -0.04716458 0.02398741 0.00635041]\n", "[ 0.0127891 -0.01127395 -0.04716079 0.02398501 0.00634836]\n", "[ 0.01278985 -0.01127461 -0.04715701 0.02398262 0.00634631]\n", "[ 0.0127906 -0.01127526 -0.04715323 0.02398023 0.00634425]\n", "[ 0.01279135 -0.01127592 -0.04714944 0.02397783 0.0063422 ]\n", "[ 0.01279209 -0.01127657 -0.04714566 0.02397544 0.00634015]\n", "[ 0.01279284 -0.01127722 -0.04714187 0.02397305 0.0063381 ]\n", "[ 0.01279359 -0.01127787 -0.04713809 0.02397066 0.00633605]\n", "[ 0.01279433 -0.01127853 -0.04713431 0.02396826 0.00633399]\n", "[ 0.01279508 -0.01127918 -0.04713053 0.02396587 0.00633194]\n", "[ 0.01279583 -0.01127983 -0.04712675 0.02396348 0.00632989]\n", "[ 0.01279657 -0.01128048 -0.04712296 0.02396109 0.00632784]\n", "[ 0.01279732 -0.01128114 -0.04711918 0.0239587 0.00632579]\n", "[ 0.01279806 -0.01128179 -0.0471154 0.02395631 0.00632374]\n", "[ 0.01279881 -0.01128244 -0.04711162 0.02395392 0.00632169]\n", "[ 0.01279956 -0.01128309 -0.04710784 0.02395153 0.00631964]\n", "[ 0.0128003 -0.01128374 -0.04710406 0.02394914 0.0063176 ]\n", "[ 0.01280105 -0.01128439 -0.04710029 0.02394675 0.00631555]\n", "[ 0.01280179 -0.01128505 -0.04709651 0.02394436 0.0063135 ]\n", "[ 0.01280254 -0.0112857 -0.04709273 0.02394197 0.00631145]\n", "[ 0.01280328 -0.01128635 -0.04708895 0.02393958 0.0063094 ]\n", "[ 0.01280403 -0.011287 -0.04708518 0.02393719 0.00630736]\n", "[ 0.01280477 -0.01128765 -0.0470814 0.02393481 0.00630531]\n", "[ 0.01280551 -0.0112883 -0.04707762 0.02393242 0.00630326]\n", "[ 0.01280626 -0.01128895 -0.04707385 0.02393003 0.00630121]\n", "[ 0.012807 -0.0112896 -0.04707007 0.02392764 0.00629917]\n", "[ 0.01280775 -0.01129025 -0.0470663 0.02392526 0.00629712]\n", "[ 0.01280849 -0.0112909 -0.04706252 0.02392287 0.00629508]\n", "[ 0.01280923 -0.01129155 -0.04705875 0.02392048 0.00629303]\n", "[ 0.01280998 -0.0112922 -0.04705498 0.0239181 0.00629098]\n", "[ 0.01281072 -0.01129285 -0.0470512 0.02391571 0.00628894]\n", "[ 0.01281146 -0.0112935 -0.04704743 0.02391333 0.00628689]\n", "[ 0.01281221 -0.01129415 -0.04704366 0.02391094 0.00628485]\n", "[ 0.01281295 -0.0112948 -0.04703989 0.02390856 0.00628281]\n", "[ 0.01281369 -0.01129545 -0.04703611 0.02390617 0.00628076]\n", "[ 0.01281444 -0.0112961 -0.04703234 0.02390379 0.00627872]\n", "[ 0.01281518 -0.01129674 -0.04702857 0.02390141 0.00627668]\n", "[ 0.01281592 -0.01129739 -0.0470248 0.02389902 0.00627463]\n", "[ 0.01281666 -0.01129804 -0.04702103 0.02389664 0.00627259]\n", "[ 0.0128174 -0.01129869 -0.04701726 0.02389426 0.00627055]\n", "[ 0.01281815 -0.01129934 -0.04701349 0.02389187 0.0062685 ]\n", "[ 0.01281889 -0.01129999 -0.04700973 0.02388949 0.00626646]\n", "[ 0.01281963 -0.01130063 -0.04700596 0.02388711 0.00626442]\n", "[ 0.01282037 -0.01130128 -0.04700219 0.02388473 0.00626238]\n", "[ 0.01282111 -0.01130193 -0.04699842 0.02388235 0.00626034]\n", "[ 0.01282185 -0.01130258 -0.04699466 0.02387997 0.0062583 ]\n", "[ 0.01282259 -0.01130322 -0.04699089 0.02387758 0.00625626]\n", "[ 0.01282333 -0.01130387 -0.04698712 0.0238752 0.00625422]\n", "[ 0.01282407 -0.01130452 -0.04698336 0.02387282 0.00625218]\n", "[ 0.01282481 -0.01130516 -0.04697959 0.02387044 0.00625014]\n", "[ 0.01282555 -0.01130581 -0.04697583 0.02386806 0.0062481 ]\n", "[ 0.01282629 -0.01130646 -0.04697206 0.02386569 0.00624606]\n", "[ 0.01282703 -0.0113071 -0.0469683 0.02386331 0.00624402]\n", "[ 0.01282777 -0.01130775 -0.04696454 0.02386093 0.00624198]\n", "[ 0.01282851 -0.0113084 -0.04696077 0.02385855 0.00623994]\n", "[ 0.01282925 -0.01130904 -0.04695701 0.02385617 0.0062379 ]\n", "[ 0.01282999 -0.01130969 -0.04695325 0.02385379 0.00623587]\n", "[ 0.01283073 -0.01131033 -0.04694949 0.02385142 0.00623383]\n", "[ 0.01283147 -0.01131098 -0.04694573 0.02384904 0.00623179]\n", "[ 0.01283221 -0.01131163 -0.04694197 0.02384666 0.00622975]\n", "[ 0.01283295 -0.01131227 -0.04693821 0.02384428 0.00622772]\n", "[ 0.01283369 -0.01131292 -0.04693445 0.02384191 0.00622568]\n", "[ 0.01283442 -0.01131356 -0.04693069 0.02383953 0.00622364]\n", "[ 0.01283516 -0.01131421 -0.04692693 0.02383716 0.00622161]\n", "[ 0.0128359 -0.01131485 -0.04692317 0.02383478 0.00621957]\n", "[ 0.01283664 -0.01131549 -0.04691941 0.02383241 0.00621754]\n", "[ 0.01283738 -0.01131614 -0.04691565 0.02383003 0.0062155 ]\n", "[ 0.01283811 -0.01131678 -0.04691189 0.02382766 0.00621347]\n", "[ 0.01283885 -0.01131743 -0.04690814 0.02382528 0.00621143]\n", "[ 0.01283959 -0.01131807 -0.04690438 0.02382291 0.0062094 ]\n", "[ 0.01284033 -0.01131872 -0.04690062 0.02382053 0.00620736]\n", "[ 0.01284106 -0.01131936 -0.04689687 0.02381816 0.00620533]\n", "[ 0.0128418 -0.01132 -0.04689311 0.02381579 0.0062033 ]\n", "[ 0.01284254 -0.01132065 -0.04688936 0.02381341 0.00620126]\n", "[ 0.01284327 -0.01132129 -0.0468856 0.02381104 0.00619923]\n", "[ 0.01284401 -0.01132193 -0.04688185 0.02380867 0.0061972 ]\n", "[ 0.01284474 -0.01132258 -0.04687809 0.0238063 0.00619516]\n", "[ 0.01284548 -0.01132322 -0.04687434 0.02380393 0.00619313]\n", "[ 0.01284622 -0.01132386 -0.04687059 0.02380155 0.0061911 ]\n", "[ 0.01284695 -0.0113245 -0.04686684 0.02379918 0.00618907]\n", "[ 0.01284769 -0.01132515 -0.04686308 0.02379681 0.00618704]\n", "[ 0.01284842 -0.01132579 -0.04685933 0.02379444 0.00618501]\n", "[ 0.01284916 -0.01132643 -0.04685558 0.02379207 0.00618298]\n", "[ 0.01284989 -0.01132707 -0.04685183 0.0237897 0.00618095]\n", "[ 0.01285063 -0.01132771 -0.04684808 0.02378733 0.00617892]\n", "[ 0.01285136 -0.01132836 -0.04684433 0.02378496 0.00617689]\n", "[ 0.0128521 -0.011329 -0.04684058 0.02378259 0.00617486]\n", "[ 0.01285283 -0.01132964 -0.04683683 0.02378023 0.00617283]\n", "[ 0.01285357 -0.01133028 -0.04683308 0.02377786 0.0061708 ]\n", "[ 0.0128543 -0.01133092 -0.04682933 0.02377549 0.00616877]\n", "[ 0.01285503 -0.01133156 -0.04682559 0.02377312 0.00616674]\n", "[ 0.01285577 -0.0113322 -0.04682184 0.02377075 0.00616471]\n", "[ 0.0128565 -0.01133284 -0.04681809 0.02376839 0.00616268]\n", "[ 0.01285724 -0.01133349 -0.04681435 0.02376602 0.00616066]\n", "[ 0.01285797 -0.01133413 -0.0468106 0.02376365 0.00615863]\n", "[ 0.0128587 -0.01133477 -0.04680685 0.02376129 0.0061566 ]\n", "[ 0.01285944 -0.01133541 -0.04680311 0.02375892 0.00615457]\n", "[ 0.01286017 -0.01133605 -0.04679936 0.02375655 0.00615255]\n", "[ 0.0128609 -0.01133669 -0.04679562 0.02375419 0.00615052]\n", "[ 0.01286163 -0.01133733 -0.04679187 0.02375182 0.0061485 ]\n", "[ 0.01286237 -0.01133797 -0.04678813 0.02374946 0.00614647]\n", "[ 0.0128631 -0.01133861 -0.04678439 0.02374709 0.00614444]\n", "[ 0.01286383 -0.01133924 -0.04678064 0.02374473 0.00614242]\n", "[ 0.01286456 -0.01133988 -0.0467769 0.02374237 0.00614039]\n", "[ 0.0128653 -0.01134052 -0.04677316 0.02374 0.00613837]\n", "[ 0.01286603 -0.01134116 -0.04676942 0.02373764 0.00613634]\n", "[ 0.01286676 -0.0113418 -0.04676568 0.02373527 0.00613432]\n", "[ 0.01286749 -0.01134244 -0.04676194 0.02373291 0.0061323 ]\n", "[ 0.01286822 -0.01134308 -0.0467582 0.02373055 0.00613027]\n", "[ 0.01286895 -0.01134372 -0.04675446 0.02372819 0.00612825]\n", "[ 0.01286968 -0.01134435 -0.04675072 0.02372583 0.00612623]\n", "[ 0.01287041 -0.01134499 -0.04674698 0.02372346 0.0061242 ]\n", "[ 0.01287114 -0.01134563 -0.04674324 0.0237211 0.00612218]\n", "[ 0.01287188 -0.01134627 -0.0467395 0.02371874 0.00612016]\n", "[ 0.01287261 -0.01134691 -0.04673576 0.02371638 0.00611814]\n", "[ 0.01287334 -0.01134754 -0.04673203 0.02371402 0.00611611]\n", "[ 0.01287407 -0.01134818 -0.04672829 0.02371166 0.00611409]\n", "[ 0.0128748 -0.01134882 -0.04672455 0.0237093 0.00611207]\n", "[ 0.01287553 -0.01134946 -0.04672082 0.02370694 0.00611005]\n", "[ 0.01287625 -0.01135009 -0.04671708 0.02370458 0.00610803]\n", "[ 0.01287698 -0.01135073 -0.04671335 0.02370222 0.00610601]\n", "[ 0.01287771 -0.01135137 -0.04670961 0.02369986 0.00610399]\n", "[ 0.01287844 -0.011352 -0.04670588 0.0236975 0.00610197]\n", "[ 0.01287917 -0.01135264 -0.04670214 0.02369515 0.00609995]\n", "[ 0.0128799 -0.01135327 -0.04669841 0.02369279 0.00609793]\n", "[ 0.01288063 -0.01135391 -0.04669467 0.02369043 0.00609591]\n", "[ 0.01288136 -0.01135455 -0.04669094 0.02368807 0.00609389]\n", "[ 0.01288209 -0.01135518 -0.04668721 0.02368572 0.00609188]\n", "[ 0.01288281 -0.01135582 -0.04668348 0.02368336 0.00608986]\n", "[ 0.01288354 -0.01135645 -0.04667975 0.023681 0.00608784]\n", "[ 0.01288427 -0.01135709 -0.04667602 0.02367865 0.00608582]\n", "[ 0.012885 -0.01135772 -0.04667228 0.02367629 0.0060838 ]\n", "[ 0.01288573 -0.01135836 -0.04666855 0.02367393 0.00608179]\n", "[ 0.01288645 -0.01135899 -0.04666482 0.02367158 0.00607977]\n", "[ 0.01288718 -0.01135963 -0.04666109 0.02366922 0.00607775]\n", "[ 0.01288791 -0.01136026 -0.04665737 0.02366687 0.00607574]\n", "[ 0.01288863 -0.0113609 -0.04665364 0.02366452 0.00607372]\n", "[ 0.01288936 -0.01136153 -0.04664991 0.02366216 0.00607171]\n", "[ 0.01289009 -0.01136217 -0.04664618 0.02365981 0.00606969]\n", "[ 0.01289081 -0.0113628 -0.04664245 0.02365745 0.00606767]\n", "[ 0.01289154 -0.01136344 -0.04663873 0.0236551 0.00606566]\n", "[ 0.01289227 -0.01136407 -0.046635 0.02365275 0.00606365]\n", "[ 0.01289299 -0.0113647 -0.04663127 0.02365039 0.00606163]\n", "[ 0.01289372 -0.01136534 -0.04662755 0.02364804 0.00605962]\n", "[ 0.01289444 -0.01136597 -0.04662382 0.02364569 0.0060576 ]\n", "[ 0.01289517 -0.0113666 -0.0466201 0.02364334 0.00605559]\n", "[ 0.0128959 -0.01136724 -0.04661637 0.02364099 0.00605358]\n", "[ 0.01289662 -0.01136787 -0.04661265 0.02363864 0.00605156]\n", "[ 0.01289735 -0.0113685 -0.04660893 0.02363628 0.00604955]\n", "[ 0.01289807 -0.01136914 -0.0466052 0.02363393 0.00604754]\n", "[ 0.0128988 -0.01136977 -0.04660148 0.02363158 0.00604553]\n", "[ 0.01289952 -0.0113704 -0.04659776 0.02362923 0.00604351]\n", "[ 0.01290025 -0.01137103 -0.04659404 0.02362688 0.0060415 ]\n", "[ 0.01290097 -0.01137166 -0.04659031 0.02362453 0.00603949]\n", "[ 0.01290169 -0.0113723 -0.04658659 0.02362219 0.00603748]\n", "[ 0.01290242 -0.01137293 -0.04658287 0.02361984 0.00603547]\n", "[ 0.01290314 -0.01137356 -0.04657915 0.02361749 0.00603346]\n", "[ 0.01290387 -0.01137419 -0.04657543 0.02361514 0.00603145]\n", "[ 0.01290459 -0.01137482 -0.04657171 0.02361279 0.00602944]\n", "[ 0.01290531 -0.01137546 -0.04656799 0.02361044 0.00602743]\n", "[ 0.01290604 -0.01137609 -0.04656427 0.0236081 0.00602542]\n", "[ 0.01290676 -0.01137672 -0.04656056 0.02360575 0.00602341]\n", "[ 0.01290748 -0.01137735 -0.04655684 0.0236034 0.0060214 ]\n", "[ 0.01290821 -0.01137798 -0.04655312 0.02360106 0.00601939]\n", "[ 0.01290893 -0.01137861 -0.0465494 0.02359871 0.00601738]\n", "[ 0.01290965 -0.01137924 -0.04654569 0.02359636 0.00601538]\n", "[ 0.01291037 -0.01137987 -0.04654197 0.02359402 0.00601337]\n", "[ 0.0129111 -0.0113805 -0.04653826 0.02359167 0.00601136]\n", "[ 0.01291182 -0.01138113 -0.04653454 0.02358933 0.00600935]\n", "[ 0.01291254 -0.01138176 -0.04653083 0.02358698 0.00600735]\n", "[ 0.01291326 -0.01138239 -0.04652711 0.02358464 0.00600534]\n", "[ 0.01291398 -0.01138302 -0.0465234 0.02358229 0.00600333]\n", "[ 0.0129147 -0.01138365 -0.04651968 0.02357995 0.00600133]\n", "[ 0.01291543 -0.01138428 -0.04651597 0.02357761 0.00599932]\n", "[ 0.01291615 -0.01138491 -0.04651226 0.02357526 0.00599731]\n", "[ 0.01291687 -0.01138554 -0.04650854 0.02357292 0.00599531]\n", "[ 0.01291759 -0.01138617 -0.04650483 0.02357058 0.0059933 ]\n", "[ 0.01291831 -0.0113868 -0.04650112 0.02356823 0.0059913 ]\n", "[ 0.01291903 -0.01138742 -0.04649741 0.02356589 0.00598929]\n", "[ 0.01291975 -0.01138805 -0.0464937 0.02356355 0.00598729]\n", "[ 0.01292047 -0.01138868 -0.04648999 0.02356121 0.00598529]\n", "[ 0.01292119 -0.01138931 -0.04648628 0.02355887 0.00598328]\n", "[ 0.01292191 -0.01138994 -0.04648257 0.02355653 0.00598128]\n", "[ 0.01292263 -0.01139057 -0.04647886 0.02355419 0.00597928]\n", "[ 0.01292335 -0.01139119 -0.04647515 0.02355184 0.00597727]\n", "[ 0.01292407 -0.01139182 -0.04647144 0.0235495 0.00597527]\n", "[ 0.01292479 -0.01139245 -0.04646774 0.02354716 0.00597327]\n", "[ 0.01292551 -0.01139308 -0.04646403 0.02354483 0.00597126]\n", "[ 0.01292623 -0.0113937 -0.04646032 0.02354249 0.00596926]\n", "[ 0.01292695 -0.01139433 -0.04645661 0.02354015 0.00596726]\n", "[ 0.01292767 -0.01139496 -0.04645291 0.02353781 0.00596526]\n", "[ 0.01292838 -0.01139558 -0.0464492 0.02353547 0.00596326]\n", "[ 0.0129291 -0.01139621 -0.0464455 0.02353313 0.00596126]\n", "[ 0.01292982 -0.01139684 -0.04644179 0.02353079 0.00595926]\n", "[ 0.01293054 -0.01139746 -0.04643809 0.02352846 0.00595726]\n", "[ 0.01293126 -0.01139809 -0.04643438 0.02352612 0.00595526]\n", "[ 0.01293198 -0.01139872 -0.04643068 0.02352378 0.00595326]\n", "[ 0.01293269 -0.01139934 -0.04642698 0.02352145 0.00595126]\n", "[ 0.01293341 -0.01139997 -0.04642327 0.02351911 0.00594926]\n", "[ 0.01293413 -0.01140059 -0.04641957 0.02351677 0.00594726]\n", "[ 0.01293484 -0.01140122 -0.04641587 0.02351444 0.00594526]\n", "[ 0.01293556 -0.01140185 -0.04641217 0.0235121 0.00594326]\n", "[ 0.01293628 -0.01140247 -0.04640847 0.02350977 0.00594126]\n", "[ 0.012937 -0.0114031 -0.04640477 0.02350743 0.00593927]\n", "[ 0.01293771 -0.01140372 -0.04640107 0.0235051 0.00593727]\n", "[ 0.01293843 -0.01140435 -0.04639737 0.02350276 0.00593527]\n", "[ 0.01293915 -0.01140497 -0.04639367 0.02350043 0.00593327]\n", "[ 0.01293986 -0.0114056 -0.04638997 0.02349809 0.00593128]\n", "[ 0.01294058 -0.01140622 -0.04638627 0.02349576 0.00592928]\n", "[ 0.01294129 -0.01140684 -0.04638257 0.02349343 0.00592729]\n", "[ 0.01294201 -0.01140747 -0.04637887 0.02349109 0.00592529]\n", "[ 0.01294272 -0.01140809 -0.04637517 0.02348876 0.00592329]\n", "[ 0.01294344 -0.01140872 -0.04637148 0.02348643 0.0059213 ]\n", "[ 0.01294416 -0.01140934 -0.04636778 0.0234841 0.0059193 ]\n", "[ 0.01294487 -0.01140996 -0.04636408 0.02348177 0.00591731]\n", "[ 0.01294559 -0.01141059 -0.04636039 0.02347943 0.00591531]\n", "[ 0.0129463 -0.01141121 -0.04635669 0.0234771 0.00591332]\n", "[ 0.01294702 -0.01141183 -0.046353 0.02347477 0.00591132]\n", "[ 0.01294773 -0.01141246 -0.0463493 0.02347244 0.00590933]\n", "[ 0.01294844 -0.01141308 -0.04634561 0.02347011 0.00590734]\n", "[ 0.01294916 -0.0114137 -0.04634191 0.02346778 0.00590534]\n", "[ 0.01294987 -0.01141433 -0.04633822 0.02346545 0.00590335]\n", "[ 0.01295059 -0.01141495 -0.04633453 0.02346312 0.00590136]\n", "[ 0.0129513 -0.01141557 -0.04633084 0.02346079 0.00589937]\n", "[ 0.01295201 -0.01141619 -0.04632714 0.02345846 0.00589737]\n", "[ 0.01295273 -0.01141682 -0.04632345 0.02345613 0.00589538]\n", "[ 0.01295344 -0.01141744 -0.04631976 0.02345381 0.00589339]\n", "[ 0.01295415 -0.01141806 -0.04631607 0.02345148 0.0058914 ]\n", "[ 0.01295487 -0.01141868 -0.04631238 0.02344915 0.00588941]\n", "[ 0.01295558 -0.0114193 -0.04630869 0.02344682 0.00588742]\n", "[ 0.01295629 -0.01141992 -0.046305 0.0234445 0.00588543]\n", "[ 0.012957 -0.01142055 -0.04630131 0.02344217 0.00588344]\n", "[ 0.01295772 -0.01142117 -0.04629762 0.02343984 0.00588145]\n", "[ 0.01295843 -0.01142179 -0.04629393 0.02343752 0.00587946]\n", "[ 0.01295914 -0.01142241 -0.04629025 0.02343519 0.00587747]\n", "[ 0.01295985 -0.01142303 -0.04628656 0.02343286 0.00587548]\n", "[ 0.01296057 -0.01142365 -0.04628287 0.02343054 0.00587349]\n", "[ 0.01296128 -0.01142427 -0.04627918 0.02342821 0.0058715 ]\n", "[ 0.01296199 -0.01142489 -0.0462755 0.02342589 0.00586951]\n", "[ 0.0129627 -0.01142551 -0.04627181 0.02342356 0.00586752]\n", "[ 0.01296341 -0.01142613 -0.04626813 0.02342124 0.00586554]\n", "[ 0.01296412 -0.01142675 -0.04626444 0.02341892 0.00586355]\n", "[ 0.01296483 -0.01142737 -0.04626076 0.02341659 0.00586156]\n", "[ 0.01296554 -0.01142799 -0.04625707 0.02341427 0.00585957]\n", "[ 0.01296625 -0.01142861 -0.04625339 0.02341194 0.00585759]\n", "[ 0.01296697 -0.01142923 -0.0462497 0.02340962 0.0058556 ]\n", "[ 0.01296768 -0.01142985 -0.04624602 0.0234073 0.00585361]\n", "[ 0.01296839 -0.01143047 -0.04624234 0.02340498 0.00585163]\n", "[ 0.0129691 -0.01143109 -0.04623866 0.02340266 0.00584964]\n", "[ 0.01296981 -0.01143171 -0.04623497 0.02340033 0.00584766]\n", "[ 0.01297052 -0.01143232 -0.04623129 0.02339801 0.00584567]\n", "[ 0.01297122 -0.01143294 -0.04622761 0.02339569 0.00584369]\n", "[ 0.01297193 -0.01143356 -0.04622393 0.02339337 0.0058417 ]\n", "[ 0.01297264 -0.01143418 -0.04622025 0.02339105 0.00583972]\n", "[ 0.01297335 -0.0114348 -0.04621657 0.02338873 0.00583773]\n", "[ 0.01297406 -0.01143542 -0.04621289 0.02338641 0.00583575]\n", "[ 0.01297477 -0.01143603 -0.04620921 0.02338409 0.00583377]\n", "[ 0.01297548 -0.01143665 -0.04620553 0.02338177 0.00583178]\n", "[ 0.01297619 -0.01143727 -0.04620186 0.02337945 0.0058298 ]\n", "[ 0.0129769 -0.01143789 -0.04619818 0.02337713 0.00582782]\n", "[ 0.0129776 -0.0114385 -0.0461945 0.02337481 0.00582583]\n", "[ 0.01297831 -0.01143912 -0.04619082 0.0233725 0.00582385]\n", "[ 0.01297902 -0.01143974 -0.04618715 0.02337018 0.00582187]\n", "[ 0.01297973 -0.01144035 -0.04618347 0.02336786 0.00581989]\n", "[ 0.01298044 -0.01144097 -0.0461798 0.02336554 0.00581791]\n", "[ 0.01298114 -0.01144159 -0.04617612 0.02336322 0.00581592]\n", "[ 0.01298185 -0.0114422 -0.04617245 0.02336091 0.00581394]\n", "[ 0.01298256 -0.01144282 -0.04616877 0.02335859 0.00581196]\n", "[ 0.01298326 -0.01144344 -0.0461651 0.02335628 0.00580998]\n", "[ 0.01298397 -0.01144405 -0.04616142 0.02335396 0.005808 ]\n", "[ 0.01298468 -0.01144467 -0.04615775 0.02335164 0.00580602]\n", "[ 0.01298538 -0.01144528 -0.04615408 0.02334933 0.00580404]\n", "[ 0.01298609 -0.0114459 -0.04615041 0.02334701 0.00580206]\n", "[ 0.0129868 -0.01144652 -0.04614673 0.0233447 0.00580008]\n", "[ 0.0129875 -0.01144713 -0.04614306 0.02334238 0.00579811]\n", "[ 0.01298821 -0.01144775 -0.04613939 0.02334007 0.00579613]\n", "[ 0.01298892 -0.01144836 -0.04613572 0.02333776 0.00579415]\n", "[ 0.01298962 -0.01144898 -0.04613205 0.02333544 0.00579217]\n", "[ 0.01299033 -0.01144959 -0.04612838 0.02333313 0.00579019]\n", "[ 0.01299103 -0.01145021 -0.04612471 0.02333081 0.00578822]\n", "[ 0.01299174 -0.01145082 -0.04612104 0.0233285 0.00578624]\n", "[ 0.01299244 -0.01145144 -0.04611737 0.02332619 0.00578426]\n", "[ 0.01299315 -0.01145205 -0.0461137 0.02332388 0.00578229]\n", "[ 0.01299385 -0.01145266 -0.04611004 0.02332157 0.00578031]\n", "[ 0.01299456 -0.01145328 -0.04610637 0.02331925 0.00577833]\n", "[ 0.01299526 -0.01145389 -0.0461027 0.02331694 0.00577636]\n", "[ 0.01299597 -0.01145451 -0.04609903 0.02331463 0.00577438]\n", "[ 0.01299667 -0.01145512 -0.04609537 0.02331232 0.00577241]\n", "[ 0.01299737 -0.01145573 -0.0460917 0.02331001 0.00577043]\n", "[ 0.01299808 -0.01145635 -0.04608804 0.0233077 0.00576846]\n", "[ 0.01299878 -0.01145696 -0.04608437 0.02330539 0.00576648]\n", "[ 0.01299948 -0.01145757 -0.04608071 0.02330308 0.00576451]\n", "[ 0.01300019 -0.01145818 -0.04607704 0.02330077 0.00576253]\n", "[ 0.01300089 -0.0114588 -0.04607338 0.02329846 0.00576056]\n", "[ 0.01300159 -0.01145941 -0.04606972 0.02329615 0.00575859]\n", "[ 0.0130023 -0.01146002 -0.04606605 0.02329384 0.00575661]\n", "[ 0.013003 -0.01146064 -0.04606239 0.02329154 0.00575464]\n", "[ 0.0130037 -0.01146125 -0.04605873 0.02328923 0.00575267]\n", "[ 0.01300441 -0.01146186 -0.04605507 0.02328692 0.0057507 ]\n", "[ 0.01300511 -0.01146247 -0.04605141 0.02328461 0.00574872]\n", "[ 0.01300581 -0.01146308 -0.04604774 0.02328231 0.00574675]\n", "[ 0.01300651 -0.0114637 -0.04604408 0.02328 0.00574478]\n", "[ 0.01300721 -0.01146431 -0.04604042 0.02327769 0.00574281]\n", "[ 0.01300792 -0.01146492 -0.04603676 0.02327539 0.00574084]\n", "[ 0.01300862 -0.01146553 -0.0460331 0.02327308 0.00573887]\n", "[ 0.01300932 -0.01146614 -0.04602945 0.02327077 0.0057369 ]\n", "[ 0.01301002 -0.01146675 -0.04602579 0.02326847 0.00573493]\n", "[ 0.01301072 -0.01146736 -0.04602213 0.02326616 0.00573296]\n", "[ 0.01301142 -0.01146797 -0.04601847 0.02326386 0.00573099]\n", "[ 0.01301212 -0.01146858 -0.04601481 0.02326155 0.00572902]\n", "[ 0.01301282 -0.01146919 -0.04601116 0.02325925 0.00572705]\n", "[ 0.01301352 -0.0114698 -0.0460075 0.02325695 0.00572508]\n", "[ 0.01301422 -0.01147041 -0.04600385 0.02325464 0.00572311]\n", "[ 0.01301493 -0.01147102 -0.04600019 0.02325234 0.00572114]\n", "[ 0.01301563 -0.01147163 -0.04599653 0.02325004 0.00571917]\n", "[ 0.01301633 -0.01147224 -0.04599288 0.02324773 0.00571721]\n", "[ 0.01301703 -0.01147285 -0.04598922 0.02324543 0.00571524]\n", "[ 0.01301772 -0.01147346 -0.04598557 0.02324313 0.00571327]\n", "[ 0.01301842 -0.01147407 -0.04598192 0.02324083 0.0057113 ]\n", "[ 0.01301912 -0.01147468 -0.04597826 0.02323852 0.00570934]\n", "[ 0.01301982 -0.01147529 -0.04597461 0.02323622 0.00570737]\n", "[ 0.01302052 -0.0114759 -0.04597096 0.02323392 0.0057054 ]\n", "[ 0.01302122 -0.01147651 -0.04596731 0.02323162 0.00570344]\n", "[ 0.01302192 -0.01147712 -0.04596366 0.02322932 0.00570147]\n", "[ 0.01302262 -0.01147773 -0.04596 0.02322702 0.00569951]\n", "[ 0.01302332 -0.01147833 -0.04595635 0.02322472 0.00569754]\n", "[ 0.01302402 -0.01147894 -0.0459527 0.02322242 0.00569558]\n", "[ 0.01302471 -0.01147955 -0.04594905 0.02322012 0.00569361]\n", "[ 0.01302541 -0.01148016 -0.0459454 0.02321782 0.00569165]\n", "[ 0.01302611 -0.01148077 -0.04594175 0.02321552 0.00568968]\n", "[ 0.01302681 -0.01148137 -0.04593811 0.02321322 0.00568772]\n", "[ 0.0130275 -0.01148198 -0.04593446 0.02321093 0.00568576]\n", "[ 0.0130282 -0.01148259 -0.04593081 0.02320863 0.00568379]\n", "[ 0.0130289 -0.0114832 -0.04592716 0.02320633 0.00568183]\n", "[ 0.0130296 -0.0114838 -0.04592352 0.02320403 0.00567987]\n", "[ 0.01303029 -0.01148441 -0.04591987 0.02320174 0.0056779 ]\n", "[ 0.01303099 -0.01148502 -0.04591622 0.02319944 0.00567594]\n", "[ 0.01303169 -0.01148562 -0.04591258 0.02319714 0.00567398]\n", "[ 0.01303238 -0.01148623 -0.04590893 0.02319485 0.00567202]\n", "[ 0.01303308 -0.01148684 -0.04590529 0.02319255 0.00567006]\n", "[ 0.01303378 -0.01148744 -0.04590164 0.02319025 0.00566809]\n", "[ 0.01303447 -0.01148805 -0.045898 0.02318796 0.00566613]\n", "[ 0.01303517 -0.01148866 -0.04589435 0.02318566 0.00566417]\n", "[ 0.01303586 -0.01148926 -0.04589071 0.02318337 0.00566221]\n", "[ 0.01303656 -0.01148987 -0.04588707 0.02318107 0.00566025]\n", "[ 0.01303726 -0.01149047 -0.04588342 0.02317878 0.00565829]\n", "[ 0.01303795 -0.01149108 -0.04587978 0.02317649 0.00565633]\n", "[ 0.01303865 -0.01149168 -0.04587614 0.02317419 0.00565437]\n", "[ 0.01303934 -0.01149229 -0.0458725 0.0231719 0.00565241]\n", "[ 0.01304004 -0.01149289 -0.04586886 0.02316961 0.00565046]\n", "[ 0.01304073 -0.0114935 -0.04586522 0.02316731 0.0056485 ]\n", "[ 0.01304143 -0.0114941 -0.04586158 0.02316502 0.00564654]\n", "[ 0.01304212 -0.01149471 -0.04585794 0.02316273 0.00564458]\n", "[ 0.01304281 -0.01149531 -0.0458543 0.02316044 0.00564262]\n", "[ 0.01304351 -0.01149592 -0.04585066 0.02315814 0.00564067]\n", "[ 0.0130442 -0.01149652 -0.04584702 0.02315585 0.00563871]\n", "[ 0.0130449 -0.01149713 -0.04584338 0.02315356 0.00563675]\n", "[ 0.01304559 -0.01149773 -0.04583974 0.02315127 0.00563479]\n", "[ 0.01304628 -0.01149833 -0.04583611 0.02314898 0.00563284]\n", "[ 0.01304698 -0.01149894 -0.04583247 0.02314669 0.00563088]\n", "[ 0.01304767 -0.01149954 -0.04582883 0.0231444 0.00562893]\n", "[ 0.01304836 -0.01150015 -0.0458252 0.02314211 0.00562697]\n", "[ 0.01304906 -0.01150075 -0.04582156 0.02313982 0.00562501]\n", "[ 0.01304975 -0.01150135 -0.04581793 0.02313753 0.00562306]\n", "[ 0.01305044 -0.01150196 -0.04581429 0.02313524 0.0056211 ]\n", "[ 0.01305114 -0.01150256 -0.04581066 0.02313295 0.00561915]\n", "[ 0.01305183 -0.01150316 -0.04580702 0.02313066 0.0056172 ]\n", "[ 0.01305252 -0.01150376 -0.04580339 0.02312838 0.00561524]\n", "[ 0.01305321 -0.01150437 -0.04579976 0.02312609 0.00561329]\n", "[ 0.0130539 -0.01150497 -0.04579612 0.0231238 0.00561133]\n", "[ 0.0130546 -0.01150557 -0.04579249 0.02312151 0.00560938]\n", "[ 0.01305529 -0.01150617 -0.04578886 0.02311923 0.00560743]\n", "[ 0.01305598 -0.01150677 -0.04578523 0.02311694 0.00560548]\n", "[ 0.01305667 -0.01150738 -0.0457816 0.02311465 0.00560352]\n", "[ 0.01305736 -0.01150798 -0.04577797 0.02311237 0.00560157]\n", "[ 0.01305805 -0.01150858 -0.04577434 0.02311008 0.00559962]\n", "[ 0.01305874 -0.01150918 -0.04577071 0.0231078 0.00559767]\n", "[ 0.01305943 -0.01150978 -0.04576708 0.02310551 0.00559572]\n", "[ 0.01306012 -0.01151038 -0.04576345 0.02310323 0.00559376]\n", "[ 0.01306082 -0.01151098 -0.04575982 0.02310094 0.00559181]\n", "[ 0.01306151 -0.01151159 -0.04575619 0.02309866 0.00558986]\n", "[ 0.0130622 -0.01151219 -0.04575256 0.02309637 0.00558791]\n", "[ 0.01306289 -0.01151279 -0.04574893 0.02309409 0.00558596]\n", "[ 0.01306358 -0.01151339 -0.04574531 0.02309181 0.00558401]\n", "[ 0.01306427 -0.01151399 -0.04574168 0.02308952 0.00558206]\n", "[ 0.01306496 -0.01151459 -0.04573805 0.02308724 0.00558011]\n", "[ 0.01306564 -0.01151519 -0.04573443 0.02308496 0.00557816]\n", "[ 0.01306633 -0.01151579 -0.0457308 0.02308267 0.00557622]\n", "[ 0.01306702 -0.01151639 -0.04572718 0.02308039 0.00557427]\n", "[ 0.01306771 -0.01151699 -0.04572355 0.02307811 0.00557232]\n", "[ 0.0130684 -0.01151759 -0.04571993 0.02307583 0.00557037]\n", "[ 0.01306909 -0.01151819 -0.0457163 0.02307355 0.00556842]\n", "[ 0.01306978 -0.01151879 -0.04571268 0.02307127 0.00556648]\n", "[ 0.01307047 -0.01151939 -0.04570906 0.02306899 0.00556453]\n", "[ 0.01307115 -0.01151998 -0.04570543 0.0230667 0.00556258]\n", "[ 0.01307184 -0.01152058 -0.04570181 0.02306442 0.00556063]\n", "[ 0.01307253 -0.01152118 -0.04569819 0.02306214 0.00555869]\n", "[ 0.01307322 -0.01152178 -0.04569457 0.02305987 0.00555674]\n", "[ 0.01307391 -0.01152238 -0.04569095 0.02305759 0.0055548 ]\n", "[ 0.01307459 -0.01152298 -0.04568733 0.02305531 0.00555285]\n", "[ 0.01307528 -0.01152358 -0.04568371 0.02305303 0.00555091]\n", "[ 0.01307597 -0.01152417 -0.04568009 0.02305075 0.00554896]\n", "[ 0.01307666 -0.01152477 -0.04567647 0.02304847 0.00554702]\n", "[ 0.01307734 -0.01152537 -0.04567285 0.02304619 0.00554507]\n", "[ 0.01307803 -0.01152597 -0.04566923 0.02304392 0.00554313]\n", "[ 0.01307872 -0.01152656 -0.04566561 0.02304164 0.00554118]\n", "[ 0.0130794 -0.01152716 -0.04566199 0.02303936 0.00553924]\n", "[ 0.01308009 -0.01152776 -0.04565838 0.02303708 0.00553729]\n", "[ 0.01308078 -0.01152836 -0.04565476 0.02303481 0.00553535]\n", "[ 0.01308146 -0.01152895 -0.04565114 0.02303253 0.00553341]\n", "[ 0.01308215 -0.01152955 -0.04564752 0.02303026 0.00553147]\n", "[ 0.01308283 -0.01153015 -0.04564391 0.02302798 0.00552952]\n", "[ 0.01308352 -0.01153074 -0.04564029 0.0230257 0.00552758]\n", "[ 0.0130842 -0.01153134 -0.04563668 0.02302343 0.00552564]\n", "[ 0.01308489 -0.01153194 -0.04563306 0.02302115 0.0055237 ]\n", "[ 0.01308557 -0.01153253 -0.04562945 0.02301888 0.00552176]\n", "[ 0.01308626 -0.01153313 -0.04562584 0.02301661 0.00551981]\n", "[ 0.01308694 -0.01153372 -0.04562222 0.02301433 0.00551787]\n", "[ 0.01308763 -0.01153432 -0.04561861 0.02301206 0.00551593]\n", "[ 0.01308831 -0.01153492 -0.045615 0.02300978 0.00551399]\n", "[ 0.013089 -0.01153551 -0.04561138 0.02300751 0.00551205]\n", "[ 0.01308968 -0.01153611 -0.04560777 0.02300524 0.00551011]\n", "[ 0.01309037 -0.0115367 -0.04560416 0.02300297 0.00550817]\n", "[ 0.01309105 -0.0115373 -0.04560055 0.02300069 0.00550623]\n", "[ 0.01309173 -0.01153789 -0.04559694 0.02299842 0.00550429]\n", "[ 0.01309242 -0.01153849 -0.04559333 0.02299615 0.00550236]\n", "[ 0.0130931 -0.01153908 -0.04558972 0.02299388 0.00550042]\n", "[ 0.01309379 -0.01153968 -0.04558611 0.02299161 0.00549848]\n", "[ 0.01309447 -0.01154027 -0.0455825 0.02298934 0.00549654]\n", "[ 0.01309515 -0.01154086 -0.04557889 0.02298707 0.0054946 ]\n", "[ 0.01309583 -0.01154146 -0.04557528 0.0229848 0.00549267]\n", "[ 0.01309652 -0.01154205 -0.04557168 0.02298253 0.00549073]\n", "[ 0.0130972 -0.01154265 -0.04556807 0.02298026 0.00548879]\n", "[ 0.01309788 -0.01154324 -0.04556446 0.02297799 0.00548685]\n", "[ 0.01309857 -0.01154383 -0.04556085 0.02297572 0.00548492]\n", "[ 0.01309925 -0.01154443 -0.04555725 0.02297345 0.00548298]\n", "[ 0.01309993 -0.01154502 -0.04555364 0.02297118 0.00548105]\n", "[ 0.01310061 -0.01154561 -0.04555004 0.02296891 0.00547911]\n", "[ 0.01310129 -0.01154621 -0.04554643 0.02296664 0.00547717]\n", "[ 0.01310197 -0.0115468 -0.04554283 0.02296438 0.00547524]\n", "[ 0.01310266 -0.01154739 -0.04553922 0.02296211 0.0054733 ]\n", "[ 0.01310334 -0.01154799 -0.04553562 0.02295984 0.00547137]\n", "[ 0.01310402 -0.01154858 -0.04553202 0.02295757 0.00546944]\n", "[ 0.0131047 -0.01154917 -0.04552841 0.02295531 0.0054675 ]\n", "[ 0.01310538 -0.01154976 -0.04552481 0.02295304 0.00546557]\n", "[ 0.01310606 -0.01155035 -0.04552121 0.02295077 0.00546363]\n", "[ 0.01310674 -0.01155095 -0.04551761 0.02294851 0.0054617 ]\n", "[ 0.01310742 -0.01155154 -0.04551401 0.02294624 0.00545977]\n", "[ 0.0131081 -0.01155213 -0.0455104 0.02294398 0.00545784]\n", "[ 0.01310878 -0.01155272 -0.0455068 0.02294171 0.0054559 ]\n", "[ 0.01310946 -0.01155331 -0.0455032 0.02293945 0.00545397]\n", "[ 0.01311014 -0.0115539 -0.0454996 0.02293718 0.00545204]\n", "[ 0.01311082 -0.0115545 -0.045496 0.02293492 0.00545011]\n", "[ 0.0131115 -0.01155509 -0.04549241 0.02293266 0.00544818]\n", "[ 0.01311218 -0.01155568 -0.04548881 0.02293039 0.00544624]\n", "[ 0.01311286 -0.01155627 -0.04548521 0.02292813 0.00544431]\n", "[ 0.01311354 -0.01155686 -0.04548161 0.02292587 0.00544238]\n", "[ 0.01311422 -0.01155745 -0.04547801 0.0229236 0.00544045]\n", "[ 0.0131149 -0.01155804 -0.04547442 0.02292134 0.00543852]\n", "[ 0.01311558 -0.01155863 -0.04547082 0.02291908 0.00543659]\n", "[ 0.01311626 -0.01155922 -0.04546722 0.02291682 0.00543466]\n", "[ 0.01311693 -0.01155981 -0.04546363 0.02291455 0.00543273]\n", "[ 0.01311761 -0.0115604 -0.04546003 0.02291229 0.0054308 ]\n", "[ 0.01311829 -0.01156099 -0.04545644 0.02291003 0.00542887]\n", "[ 0.01311897 -0.01156158 -0.04545284 0.02290777 0.00542695]\n", "[ 0.01311965 -0.01156217 -0.04544925 0.02290551 0.00542502]\n", "[ 0.01312032 -0.01156276 -0.04544565 0.02290325 0.00542309]\n", "[ 0.013121 -0.01156335 -0.04544206 0.02290099 0.00542116]\n", "[ 0.01312168 -0.01156394 -0.04543847 0.02289873 0.00541923]\n", "[ 0.01312236 -0.01156453 -0.04543488 0.02289647 0.00541731]\n", "[ 0.01312303 -0.01156511 -0.04543128 0.02289421 0.00541538]\n", "[ 0.01312371 -0.0115657 -0.04542769 0.02289195 0.00541345]\n", "[ 0.01312439 -0.01156629 -0.0454241 0.0228897 0.00541153]\n", "[ 0.01312506 -0.01156688 -0.04542051 0.02288744 0.0054096 ]\n", "[ 0.01312574 -0.01156747 -0.04541692 0.02288518 0.00540767]\n", "[ 0.01312642 -0.01156806 -0.04541333 0.02288292 0.00540575]\n", "[ 0.01312709 -0.01156864 -0.04540974 0.02288066 0.00540382]\n", "[ 0.01312777 -0.01156923 -0.04540615 0.02287841 0.0054019 ]\n", "[ 0.01312845 -0.01156982 -0.04540256 0.02287615 0.00539997]\n", "[ 0.01312912 -0.01157041 -0.04539897 0.02287389 0.00539805]\n", "[ 0.0131298 -0.011571 -0.04539538 0.02287164 0.00539612]\n", "[ 0.01313047 -0.01157158 -0.0453918 0.02286938 0.0053942 ]\n", "[ 0.01313115 -0.01157217 -0.04538821 0.02286712 0.00539228]\n", "[ 0.01313182 -0.01157276 -0.04538462 0.02286487 0.00539035]\n", "[ 0.0131325 -0.01157334 -0.04538104 0.02286261 0.00538843]\n", "[ 0.01313317 -0.01157393 -0.04537745 0.02286036 0.00538651]\n", "[ 0.01313385 -0.01157452 -0.04537386 0.0228581 0.00538458]\n", "[ 0.01313452 -0.0115751 -0.04537028 0.02285585 0.00538266]\n", "[ 0.0131352 -0.01157569 -0.04536669 0.0228536 0.00538074]\n", "[ 0.01313587 -0.01157628 -0.04536311 0.02285134 0.00537881]\n", "[ 0.01313655 -0.01157686 -0.04535952 0.02284909 0.00537689]\n", "[ 0.01313722 -0.01157745 -0.04535594 0.02284684 0.00537497]\n", "[ 0.01313789 -0.01157803 -0.04535236 0.02284458 0.00537305]\n", "[ 0.01313857 -0.01157862 -0.04534877 0.02284233 0.00537113]\n", "[ 0.01313924 -0.01157921 -0.04534519 0.02284008 0.00536921]\n", "[ 0.01313991 -0.01157979 -0.04534161 0.02283782 0.00536729]\n", "[ 0.01314059 -0.01158038 -0.04533803 0.02283557 0.00536537]\n", "[ 0.01314126 -0.01158096 -0.04533445 0.02283332 0.00536345]\n", "[ 0.01314193 -0.01158155 -0.04533086 0.02283107 0.00536153]\n", "[ 0.01314261 -0.01158213 -0.04532728 0.02282882 0.00535961]\n", "[ 0.01314328 -0.01158272 -0.0453237 0.02282657 0.00535769]\n", "[ 0.01314395 -0.0115833 -0.04532012 0.02282432 0.00535577]\n", "[ 0.01314462 -0.01158389 -0.04531654 0.02282207 0.00535385]\n", "[ 0.0131453 -0.01158447 -0.04531297 0.02281982 0.00535193]\n", "[ 0.01314597 -0.01158505 -0.04530939 0.02281757 0.00535001]\n", "[ 0.01314664 -0.01158564 -0.04530581 0.02281532 0.0053481 ]\n", "[ 0.01314731 -0.01158622 -0.04530223 0.02281307 0.00534618]\n", "[ 0.01314798 -0.01158681 -0.04529865 0.02281082 0.00534426]\n", "[ 0.01314866 -0.01158739 -0.04529508 0.02280857 0.00534234]\n", "[ 0.01314933 -0.01158797 -0.0452915 0.02280632 0.00534043]\n", "[ 0.01315 -0.01158856 -0.04528792 0.02280408 0.00533851]\n", "[ 0.01315067 -0.01158914 -0.04528435 0.02280183 0.00533659]\n", "[ 0.01315134 -0.01158972 -0.04528077 0.02279958 0.00533468]\n", "[ 0.01315201 -0.01159031 -0.0452772 0.02279733 0.00533276]\n", "[ 0.01315268 -0.01159089 -0.04527362 0.02279509 0.00533085]\n", "[ 0.01315335 -0.01159147 -0.04527005 0.02279284 0.00532893]\n", "[ 0.01315402 -0.01159205 -0.04526648 0.02279059 0.00532702]\n", "[ 0.01315469 -0.01159264 -0.0452629 0.02278835 0.0053251 ]\n", "[ 0.01315536 -0.01159322 -0.04525933 0.0227861 0.00532319]\n", "[ 0.01315603 -0.0115938 -0.04525576 0.02278386 0.00532127]\n", "[ 0.0131567 -0.01159438 -0.04525218 0.02278161 0.00531936]\n", "[ 0.01315737 -0.01159497 -0.04524861 0.02277937 0.00531744]\n", "[ 0.01315804 -0.01159555 -0.04524504 0.02277712 0.00531553]\n", "[ 0.01315871 -0.01159613 -0.04524147 0.02277488 0.00531362]\n", "[ 0.01315938 -0.01159671 -0.0452379 0.02277263 0.0053117 ]\n", "[ 0.01316005 -0.01159729 -0.04523433 0.02277039 0.00530979]\n", "[ 0.01316072 -0.01159787 -0.04523076 0.02276815 0.00530788]\n", "[ 0.01316139 -0.01159845 -0.04522719 0.0227659 0.00530597]\n", "[ 0.01316206 -0.01159904 -0.04522362 0.02276366 0.00530406]\n", "[ 0.01316273 -0.01159962 -0.04522005 0.02276142 0.00530214]\n", "[ 0.01316339 -0.0116002 -0.04521648 0.02275917 0.00530023]\n", "[ 0.01316406 -0.01160078 -0.04521292 0.02275693 0.00529832]\n", "[ 0.01316473 -0.01160136 -0.04520935 0.02275469 0.00529641]\n", "[ 0.0131654 -0.01160194 -0.04520578 0.02275245 0.0052945 ]\n", "[ 0.01316607 -0.01160252 -0.04520221 0.02275021 0.00529259]\n", "[ 0.01316673 -0.0116031 -0.04519865 0.02274797 0.00529068]\n", "[ 0.0131674 -0.01160368 -0.04519508 0.02274573 0.00528877]\n", "[ 0.01316807 -0.01160426 -0.04519152 0.02274349 0.00528686]\n", "[ 0.01316874 -0.01160484 -0.04518795 0.02274125 0.00528495]\n", "[ 0.0131694 -0.01160542 -0.04518439 0.02273901 0.00528304]\n", "[ 0.01317007 -0.011606 -0.04518082 0.02273677 0.00528113]\n", "[ 0.01317074 -0.01160658 -0.04517726 0.02273453 0.00527922]\n", "[ 0.0131714 -0.01160716 -0.0451737 0.02273229 0.00527731]\n", "[ 0.01317207 -0.01160774 -0.04517013 0.02273005 0.00527541]\n", "[ 0.01317274 -0.01160831 -0.04516657 0.02272781 0.0052735 ]\n", "[ 0.0131734 -0.01160889 -0.04516301 0.02272557 0.00527159]\n", "[ 0.01317407 -0.01160947 -0.04515945 0.02272333 0.00526968]\n", "[ 0.01317473 -0.01161005 -0.04515588 0.0227211 0.00526778]\n", "[ 0.0131754 -0.01161063 -0.04515232 0.02271886 0.00526587]\n", "[ 0.01317607 -0.01161121 -0.04514876 0.02271662 0.00526396]\n", "[ 0.01317673 -0.01161179 -0.0451452 0.02271438 0.00526206]\n", "[ 0.0131774 -0.01161236 -0.04514164 0.02271215 0.00526015]\n", "[ 0.01317806 -0.01161294 -0.04513808 0.02270991 0.00525824]\n", "[ 0.01317873 -0.01161352 -0.04513452 0.02270768 0.00525634]\n", "[ 0.01317939 -0.0116141 -0.04513096 0.02270544 0.00525443]\n", "[ 0.01318006 -0.01161467 -0.04512741 0.0227032 0.00525253]\n", "[ 0.01318072 -0.01161525 -0.04512385 0.02270097 0.00525062]\n", "[ 0.01318139 -0.01161583 -0.04512029 0.02269873 0.00524872]\n", "[ 0.01318205 -0.01161641 -0.04511673 0.0226965 0.00524682]\n", "[ 0.01318271 -0.01161698 -0.04511318 0.02269426 0.00524491]\n", "[ 0.01318338 -0.01161756 -0.04510962 0.02269203 0.00524301]\n", "[ 0.01318404 -0.01161814 -0.04510606 0.0226898 0.0052411 ]\n", "[ 0.01318471 -0.01161871 -0.04510251 0.02268756 0.0052392 ]\n", "[ 0.01318537 -0.01161929 -0.04509895 0.02268533 0.0052373 ]\n", "[ 0.01318603 -0.01161987 -0.0450954 0.0226831 0.0052354 ]\n", "[ 0.0131867 -0.01162044 -0.04509184 0.02268086 0.00523349]\n", "[ 0.01318736 -0.01162102 -0.04508829 0.02267863 0.00523159]\n", "[ 0.01318802 -0.01162159 -0.04508474 0.0226764 0.00522969]\n", "[ 0.01318869 -0.01162217 -0.04508118 0.02267417 0.00522779]\n", "[ 0.01318935 -0.01162274 -0.04507763 0.02267194 0.00522589]\n", "[ 0.01319001 -0.01162332 -0.04507408 0.0226697 0.00522398]\n", "[ 0.01319067 -0.0116239 -0.04507053 0.02266747 0.00522208]\n", "[ 0.01319134 -0.01162447 -0.04506697 0.02266524 0.00522018]\n", "[ 0.013192 -0.01162505 -0.04506342 0.02266301 0.00521828]\n", "[ 0.01319266 -0.01162562 -0.04505987 0.02266078 0.00521638]\n", "[ 0.01319332 -0.0116262 -0.04505632 0.02265855 0.00521448]\n", "[ 0.01319398 -0.01162677 -0.04505277 0.02265632 0.00521258]\n", "[ 0.01319465 -0.01162734 -0.04504922 0.02265409 0.00521068]\n", "[ 0.01319531 -0.01162792 -0.04504567 0.02265186 0.00520878]\n", "[ 0.01319597 -0.01162849 -0.04504212 0.02264963 0.00520689]\n", "[ 0.01319663 -0.01162907 -0.04503858 0.02264741 0.00520499]\n", "[ 0.01319729 -0.01162964 -0.04503503 0.02264518 0.00520309]\n", "[ 0.01319795 -0.01163022 -0.04503148 0.02264295 0.00520119]\n", "[ 0.01319861 -0.01163079 -0.04502793 0.02264072 0.00519929]\n", "[ 0.01319927 -0.01163136 -0.04502439 0.02263849 0.0051974 ]\n", "[ 0.01319993 -0.01163194 -0.04502084 0.02263627 0.0051955 ]\n", "[ 0.01320059 -0.01163251 -0.04501729 0.02263404 0.0051936 ]\n", "[ 0.01320125 -0.01163308 -0.04501375 0.02263181 0.0051917 ]\n", "[ 0.01320191 -0.01163366 -0.0450102 0.02262959 0.00518981]\n", "[ 0.01320257 -0.01163423 -0.04500666 0.02262736 0.00518791]\n", "[ 0.01320323 -0.0116348 -0.04500311 0.02262513 0.00518602]\n", "[ 0.01320389 -0.01163537 -0.04499957 0.02262291 0.00518412]\n", "[ 0.01320455 -0.01163595 -0.04499603 0.02262068 0.00518222]\n", "[ 0.01320521 -0.01163652 -0.04499248 0.02261846 0.00518033]\n", "[ 0.01320587 -0.01163709 -0.04498894 0.02261623 0.00517843]\n", "[ 0.01320653 -0.01163766 -0.0449854 0.02261401 0.00517654]\n", "[ 0.01320719 -0.01163824 -0.04498185 0.02261179 0.00517464]\n", "[ 0.01320785 -0.01163881 -0.04497831 0.02260956 0.00517275]\n", "[ 0.01320851 -0.01163938 -0.04497477 0.02260734 0.00517086]\n", "[ 0.01320916 -0.01163995 -0.04497123 0.02260511 0.00516896]\n", "[ 0.01320982 -0.01164052 -0.04496769 0.02260289 0.00516707]\n", "[ 0.01321048 -0.01164109 -0.04496415 0.02260067 0.00516518]\n", "[ 0.01321114 -0.01164167 -0.04496061 0.02259845 0.00516328]\n", "[ 0.0132118 -0.01164224 -0.04495707 0.02259622 0.00516139]\n", "[ 0.01321246 -0.01164281 -0.04495353 0.022594 0.0051595 ]\n", "[ 0.01321311 -0.01164338 -0.04494999 0.02259178 0.00515761]\n", "[ 0.01321377 -0.01164395 -0.04494645 0.02258956 0.00515571]\n", "[ 0.01321443 -0.01164452 -0.04494292 0.02258734 0.00515382]\n", "[ 0.01321508 -0.01164509 -0.04493938 0.02258512 0.00515193]\n", "[ 0.01321574 -0.01164566 -0.04493584 0.0225829 0.00515004]\n", "[ 0.0132164 -0.01164623 -0.04493231 0.02258067 0.00514815]\n", "[ 0.01321706 -0.0116468 -0.04492877 0.02257845 0.00514626]\n", "[ 0.01321771 -0.01164737 -0.04492523 0.02257623 0.00514437]\n", "[ 0.01321837 -0.01164794 -0.0449217 0.02257402 0.00514248]\n", "[ 0.01321902 -0.01164851 -0.04491816 0.0225718 0.00514059]\n", "[ 0.01321968 -0.01164908 -0.04491463 0.02256958 0.0051387 ]\n", "[ 0.01322034 -0.01164965 -0.04491109 0.02256736 0.00513681]\n", "[ 0.01322099 -0.01165022 -0.04490756 0.02256514 0.00513492]\n", "[ 0.01322165 -0.01165079 -0.04490403 0.02256292 0.00513303]\n", "[ 0.0132223 -0.01165136 -0.04490049 0.0225607 0.00513114]\n", "[ 0.01322296 -0.01165193 -0.04489696 0.02255849 0.00512925]\n", "[ 0.01322361 -0.0116525 -0.04489343 0.02255627 0.00512737]\n", "[ 0.01322427 -0.01165306 -0.0448899 0.02255405 0.00512548]\n", "[ 0.01322492 -0.01165363 -0.04488637 0.02255184 0.00512359]\n", "[ 0.01322558 -0.0116542 -0.04488283 0.02254962 0.0051217 ]\n", "[ 0.01322623 -0.01165477 -0.0448793 0.0225474 0.00511982]\n", "[ 0.01322689 -0.01165534 -0.04487577 0.02254519 0.00511793]\n", "[ 0.01322754 -0.01165591 -0.04487224 0.02254297 0.00511604]\n", "[ 0.0132282 -0.01165647 -0.04486871 0.02254076 0.00511416]\n", "[ 0.01322885 -0.01165704 -0.04486518 0.02253854 0.00511227]\n", "[ 0.01322951 -0.01165761 -0.04486166 0.02253633 0.00511038]\n", "[ 0.01323016 -0.01165818 -0.04485813 0.02253411 0.0051085 ]\n", "[ 0.01323081 -0.01165874 -0.0448546 0.0225319 0.00510661]\n", "[ 0.01323147 -0.01165931 -0.04485107 0.02252968 0.00510473]\n", "[ 0.01323212 -0.01165988 -0.04484754 0.02252747 0.00510284]\n", "[ 0.01323277 -0.01166044 -0.04484402 0.02252525 0.00510096]\n", "[ 0.01323343 -0.01166101 -0.04484049 0.02252304 0.00509908]\n", "[ 0.01323408 -0.01166158 -0.04483697 0.02252083 0.00509719]\n", "[ 0.01323473 -0.01166214 -0.04483344 0.02251862 0.00509531]\n", "[ 0.01323539 -0.01166271 -0.04482991 0.0225164 0.00509342]\n", "[ 0.01323604 -0.01166328 -0.04482639 0.02251419 0.00509154]\n", "[ 0.01323669 -0.01166384 -0.04482287 0.02251198 0.00508966]\n", "[ 0.01323734 -0.01166441 -0.04481934 0.02250977 0.00508778]\n", "[ 0.01323799 -0.01166498 -0.04481582 0.02250756 0.00508589]\n", "[ 0.01323865 -0.01166554 -0.04481229 0.02250535 0.00508401]\n", "[ 0.0132393 -0.01166611 -0.04480877 0.02250313 0.00508213]\n", "[ 0.01323995 -0.01166667 -0.04480525 0.02250092 0.00508025]\n", "[ 0.0132406 -0.01166724 -0.04480173 0.02249871 0.00507837]\n", "[ 0.01324125 -0.0116678 -0.0447982 0.0224965 0.00507648]\n", "[ 0.0132419 -0.01166837 -0.04479468 0.02249429 0.0050746 ]\n", "[ 0.01324256 -0.01166893 -0.04479116 0.02249208 0.00507272]\n", "[ 0.01324321 -0.0116695 -0.04478764 0.02248988 0.00507084]\n", "[ 0.01324386 -0.01167006 -0.04478412 0.02248767 0.00506896]\n", "[ 0.01324451 -0.01167063 -0.0447806 0.02248546 0.00506708]\n", "[ 0.01324516 -0.01167119 -0.04477708 0.02248325 0.0050652 ]\n", "[ 0.01324581 -0.01167176 -0.04477356 0.02248104 0.00506332]\n", "[ 0.01324646 -0.01167232 -0.04477005 0.02247883 0.00506144]\n", "[ 0.01324711 -0.01167288 -0.04476653 0.02247663 0.00505956]\n", "[ 0.01324776 -0.01167345 -0.04476301 0.02247442 0.00505769]\n", "[ 0.01324841 -0.01167401 -0.04475949 0.02247221 0.00505581]\n", "[ 0.01324906 -0.01167458 -0.04475597 0.02247001 0.00505393]\n", "[ 0.01324971 -0.01167514 -0.04475246 0.0224678 0.00505205]\n", "[ 0.01325036 -0.0116757 -0.04474894 0.02246559 0.00505017]\n", "[ 0.01325101 -0.01167627 -0.04474543 0.02246339 0.0050483 ]\n", "[ 0.01325166 -0.01167683 -0.04474191 0.02246118 0.00504642]\n", "[ 0.01325231 -0.01167739 -0.0447384 0.02245898 0.00504454]\n", "[ 0.01325296 -0.01167796 -0.04473488 0.02245677 0.00504267]\n", "[ 0.0132536 -0.01167852 -0.04473137 0.02245457 0.00504079]\n", "[ 0.01325425 -0.01167908 -0.04472785 0.02245236 0.00503891]\n", "[ 0.0132549 -0.01167964 -0.04472434 0.02245016 0.00503704]\n", "[ 0.01325555 -0.01168021 -0.04472083 0.02244795 0.00503516]\n", "[ 0.0132562 -0.01168077 -0.04471731 0.02244575 0.00503329]\n", "[ 0.01325685 -0.01168133 -0.0447138 0.02244355 0.00503141]\n", "[ 0.01325749 -0.01168189 -0.04471029 0.02244134 0.00502954]\n", "[ 0.01325814 -0.01168245 -0.04470678 0.02243914 0.00502766]\n", "[ 0.01325879 -0.01168302 -0.04470327 0.02243694 0.00502579]\n", "[ 0.01325944 -0.01168358 -0.04469976 0.02243474 0.00502391]\n", "[ 0.01326008 -0.01168414 -0.04469625 0.02243253 0.00502204]\n", "[ 0.01326073 -0.0116847 -0.04469274 0.02243033 0.00502017]\n", "[ 0.01326138 -0.01168526 -0.04468923 0.02242813 0.00501829]\n", "[ 0.01326202 -0.01168582 -0.04468572 0.02242593 0.00501642]\n", "[ 0.01326267 -0.01168638 -0.04468221 0.02242373 0.00501455]\n", "[ 0.01326332 -0.01168694 -0.0446787 0.02242153 0.00501267]\n", "[ 0.01326396 -0.0116875 -0.04467519 0.02241933 0.0050108 ]\n", "[ 0.01326461 -0.01168807 -0.04467168 0.02241713 0.00500893]\n", "[ 0.01326526 -0.01168863 -0.04466818 0.02241493 0.00500706]\n", "[ 0.0132659 -0.01168919 -0.04466467 0.02241273 0.00500519]\n", "[ 0.01326655 -0.01168975 -0.04466116 0.02241053 0.00500332]\n", "[ 0.01326719 -0.01169031 -0.04465766 0.02240833 0.00500145]\n", "[ 0.01326784 -0.01169087 -0.04465415 0.02240613 0.00499957]\n", "[ 0.01326849 -0.01169143 -0.04465065 0.02240393 0.0049977 ]\n", "[ 0.01326913 -0.01169199 -0.04464714 0.02240173 0.00499583]\n", "[ 0.01326978 -0.01169255 -0.04464364 0.02239953 0.00499396]\n", "[ 0.01327042 -0.0116931 -0.04464013 0.02239734 0.00499209]\n", "[ 0.01327107 -0.01169366 -0.04463663 0.02239514 0.00499022]\n", "[ 0.01327171 -0.01169422 -0.04463313 0.02239294 0.00498835]\n", "[ 0.01327236 -0.01169478 -0.04462962 0.02239075 0.00498649]\n", "[ 0.013273 -0.01169534 -0.04462612 0.02238855 0.00498462]\n", "[ 0.01327364 -0.0116959 -0.04462262 0.02238635 0.00498275]\n", "[ 0.01327429 -0.01169646 -0.04461912 0.02238416 0.00498088]\n", "[ 0.01327493 -0.01169702 -0.04461561 0.02238196 0.00497901]\n", "[ 0.01327558 -0.01169758 -0.04461211 0.02237977 0.00497714]\n", "[ 0.01327622 -0.01169813 -0.04460861 0.02237757 0.00497528]\n", "[ 0.01327686 -0.01169869 -0.04460511 0.02237537 0.00497341]\n", "[ 0.01327751 -0.01169925 -0.04460161 0.02237318 0.00497154]\n", "[ 0.01327815 -0.01169981 -0.04459811 0.02237099 0.00496968]\n", "[ 0.01327879 -0.01170036 -0.04459461 0.02236879 0.00496781]\n", "[ 0.01327944 -0.01170092 -0.04459112 0.0223666 0.00496594]\n", "[ 0.01328008 -0.01170148 -0.04458762 0.0223644 0.00496408]\n", "[ 0.01328072 -0.01170204 -0.04458412 0.02236221 0.00496221]\n", "[ 0.01328137 -0.01170259 -0.04458062 0.02236002 0.00496035]\n", "[ 0.01328201 -0.01170315 -0.04457712 0.02235782 0.00495848]\n", "[ 0.01328265 -0.01170371 -0.04457363 0.02235563 0.00495662]\n", "[ 0.01328329 -0.01170427 -0.04457013 0.02235344 0.00495475]\n", "[ 0.01328393 -0.01170482 -0.04456664 0.02235125 0.00495289]\n", "[ 0.01328458 -0.01170538 -0.04456314 0.02234906 0.00495102]\n", "[ 0.01328522 -0.01170593 -0.04455964 0.02234686 0.00494916]\n", "[ 0.01328586 -0.01170649 -0.04455615 0.02234467 0.0049473 ]\n", "[ 0.0132865 -0.01170705 -0.04455266 0.02234248 0.00494543]\n", "[ 0.01328714 -0.0117076 -0.04454916 0.02234029 0.00494357]\n", "[ 0.01328778 -0.01170816 -0.04454567 0.0223381 0.00494171]\n", "[ 0.01328843 -0.01170872 -0.04454217 0.02233591 0.00493984]\n", "[ 0.01328907 -0.01170927 -0.04453868 0.02233372 0.00493798]\n", "[ 0.01328971 -0.01170983 -0.04453519 0.02233153 0.00493612]\n", "[ 0.01329035 -0.01171038 -0.0445317 0.02232934 0.00493426]\n", "[ 0.01329099 -0.01171094 -0.04452821 0.02232715 0.0049324 ]\n", "[ 0.01329163 -0.01171149 -0.04452471 0.02232496 0.00493053]\n", "[ 0.01329227 -0.01171205 -0.04452122 0.02232278 0.00492867]\n", "[ 0.01329291 -0.0117126 -0.04451773 0.02232059 0.00492681]\n", "[ 0.01329355 -0.01171316 -0.04451424 0.0223184 0.00492495]\n", "[ 0.01329419 -0.01171371 -0.04451075 0.02231621 0.00492309]\n", "[ 0.01329483 -0.01171427 -0.04450726 0.02231402 0.00492123]\n", "[ 0.01329547 -0.01171482 -0.04450377 0.02231184 0.00491937]\n", "[ 0.01329611 -0.01171537 -0.04450029 0.02230965 0.00491751]\n", "[ 0.01329675 -0.01171593 -0.0444968 0.02230746 0.00491565]\n", "[ 0.01329739 -0.01171648 -0.04449331 0.02230528 0.00491379]\n", "[ 0.01329802 -0.01171704 -0.04448982 0.02230309 0.00491193]\n", "[ 0.01329866 -0.01171759 -0.04448633 0.02230091 0.00491007]\n", "[ 0.0132993 -0.01171814 -0.04448285 0.02229872 0.00490822]\n", "[ 0.01329994 -0.0117187 -0.04447936 0.02229653 0.00490636]\n", "[ 0.01330058 -0.01171925 -0.04447588 0.02229435 0.0049045 ]\n", "[ 0.01330122 -0.0117198 -0.04447239 0.02229217 0.00490264]\n", "[ 0.01330186 -0.01172036 -0.04446891 0.02228998 0.00490079]\n", "[ 0.01330249 -0.01172091 -0.04446542 0.0222878 0.00489893]\n", "[ 0.01330313 -0.01172146 -0.04446194 0.02228561 0.00489707]\n", "[ 0.01330377 -0.01172201 -0.04445845 0.02228343 0.00489521]\n", "[ 0.01330441 -0.01172257 -0.04445497 0.02228125 0.00489336]\n", "[ 0.01330504 -0.01172312 -0.04445149 0.02227906 0.0048915 ]\n", "[ 0.01330568 -0.01172367 -0.044448 0.02227688 0.00488965]\n", "[ 0.01330632 -0.01172422 -0.04444452 0.0222747 0.00488779]\n", "[ 0.01330696 -0.01172478 -0.04444104 0.02227251 0.00488594]\n", "[ 0.01330759 -0.01172533 -0.04443756 0.02227033 0.00488408]\n", "[ 0.01330823 -0.01172588 -0.04443408 0.02226815 0.00488223]\n", "[ 0.01330887 -0.01172643 -0.04443059 0.02226597 0.00488037]\n", "[ 0.0133095 -0.01172698 -0.04442711 0.02226379 0.00487852]\n", "[ 0.01331014 -0.01172753 -0.04442363 0.02226161 0.00487666]\n", "[ 0.01331077 -0.01172809 -0.04442015 0.02225943 0.00487481]\n", "[ 0.01331141 -0.01172864 -0.04441668 0.02225725 0.00487295]\n", "[ 0.01331205 -0.01172919 -0.0444132 0.02225507 0.0048711 ]\n", "[ 0.01331268 -0.01172974 -0.04440972 0.02225289 0.00486925]\n", "[ 0.01331332 -0.01173029 -0.04440624 0.02225071 0.0048674 ]\n", "[ 0.01331395 -0.01173084 -0.04440276 0.02224853 0.00486554]\n", "[ 0.01331459 -0.01173139 -0.04439928 0.02224635 0.00486369]\n", "[ 0.01331522 -0.01173194 -0.04439581 0.02224417 0.00486184]\n", "[ 0.01331586 -0.01173249 -0.04439233 0.02224199 0.00485999]\n", "[ 0.01331649 -0.01173304 -0.04438885 0.02223981 0.00485813]\n", "[ 0.01331713 -0.01173359 -0.04438538 0.02223763 0.00485628]\n", "[ 0.01331776 -0.01173414 -0.0443819 0.02223546 0.00485443]\n", "[ 0.0133184 -0.01173469 -0.04437843 0.02223328 0.00485258]\n", "[ 0.01331903 -0.01173524 -0.04437495 0.0222311 0.00485073]\n", "[ 0.01331967 -0.01173579 -0.04437148 0.02222893 0.00484888]\n", "[ 0.0133203 -0.01173634 -0.04436801 0.02222675 0.00484703]\n", "[ 0.01332093 -0.01173689 -0.04436453 0.02222457 0.00484518]\n", "[ 0.01332157 -0.01173744 -0.04436106 0.0222224 0.00484333]\n", "[ 0.0133222 -0.01173799 -0.04435759 0.02222022 0.00484148]\n", "[ 0.01332283 -0.01173854 -0.04435411 0.02221804 0.00483963]\n", "[ 0.01332347 -0.01173908 -0.04435064 0.02221587 0.00483778]\n", "[ 0.0133241 -0.01173963 -0.04434717 0.02221369 0.00483594]\n", "[ 0.01332473 -0.01174018 -0.0443437 0.02221152 0.00483409]\n", "[ 0.01332537 -0.01174073 -0.04434023 0.02220935 0.00483224]\n", "[ 0.013326 -0.01174128 -0.04433676 0.02220717 0.00483039]\n", "[ 0.01332663 -0.01174183 -0.04433329 0.022205 0.00482854]\n", "[ 0.01332727 -0.01174237 -0.04432982 0.02220282 0.0048267 ]\n", "[ 0.0133279 -0.01174292 -0.04432635 0.02220065 0.00482485]\n", "[ 0.01332853 -0.01174347 -0.04432288 0.02219848 0.004823 ]\n", "[ 0.01332916 -0.01174402 -0.04431941 0.0221963 0.00482116]\n", "[ 0.01332979 -0.01174456 -0.04431594 0.02219413 0.00481931]\n", "[ 0.01333043 -0.01174511 -0.04431248 0.02219196 0.00481746]\n", "[ 0.01333106 -0.01174566 -0.04430901 0.02218979 0.00481562]\n", "[ 0.01333169 -0.01174621 -0.04430554 0.02218762 0.00481377]\n", "[ 0.01333232 -0.01174675 -0.04430207 0.02218544 0.00481193]\n", "[ 0.01333295 -0.0117473 -0.04429861 0.02218327 0.00481008]\n", "[ 0.01333358 -0.01174785 -0.04429514 0.0221811 0.00480824]\n", "[ 0.01333421 -0.01174839 -0.04429168 0.02217893 0.00480639]\n", "[ 0.01333484 -0.01174894 -0.04428821 0.02217676 0.00480455]\n", "[ 0.01333548 -0.01174948 -0.04428475 0.02217459 0.0048027 ]\n", "[ 0.01333611 -0.01175003 -0.04428128 0.02217242 0.00480086]\n", "[ 0.01333674 -0.01175058 -0.04427782 0.02217025 0.00479902]\n", "[ 0.01333737 -0.01175112 -0.04427436 0.02216808 0.00479717]\n", "[ 0.013338 -0.01175167 -0.04427089 0.02216591 0.00479533]\n", "[ 0.01333863 -0.01175221 -0.04426743 0.02216374 0.00479349]\n", "[ 0.01333926 -0.01175276 -0.04426397 0.02216157 0.00479164]\n", "[ 0.01333989 -0.0117533 -0.04426051 0.02215941 0.0047898 ]\n", "[ 0.01334052 -0.01175385 -0.04425704 0.02215724 0.00478796]\n", "[ 0.01334115 -0.0117544 -0.04425358 0.02215507 0.00478612]\n", "[ 0.01334177 -0.01175494 -0.04425012 0.0221529 0.00478428]\n", "[ 0.0133424 -0.01175549 -0.04424666 0.02215074 0.00478243]\n", "[ 0.01334303 -0.01175603 -0.0442432 0.02214857 0.00478059]\n", "[ 0.01334366 -0.01175657 -0.04423974 0.0221464 0.00477875]\n", "[ 0.01334429 -0.01175712 -0.04423628 0.02214424 0.00477691]\n", "[ 0.01334492 -0.01175766 -0.04423282 0.02214207 0.00477507]\n", "[ 0.01334555 -0.01175821 -0.04422936 0.0221399 0.00477323]\n", "[ 0.01334618 -0.01175875 -0.04422591 0.02213774 0.00477139]\n", "[ 0.0133468 -0.0117593 -0.04422245 0.02213557 0.00476955]\n", "[ 0.01334743 -0.01175984 -0.04421899 0.02213341 0.00476771]\n", "[ 0.01334806 -0.01176038 -0.04421553 0.02213124 0.00476587]\n", "[ 0.01334869 -0.01176093 -0.04421208 0.02212908 0.00476404]\n", "[ 0.01334932 -0.01176147 -0.04420862 0.02212691 0.0047622 ]\n", "[ 0.01334994 -0.01176201 -0.04420517 0.02212475 0.00476036]\n", "[ 0.01335057 -0.01176256 -0.04420171 0.02212259 0.00475852]\n", "[ 0.0133512 -0.0117631 -0.04419826 0.02212042 0.00475668]\n", "[ 0.01335182 -0.01176364 -0.0441948 0.02211826 0.00475484]\n", "[ 0.01335245 -0.01176419 -0.04419135 0.0221161 0.00475301]\n", "[ 0.01335308 -0.01176473 -0.04418789 0.02211393 0.00475117]\n", "[ 0.0133537 -0.01176527 -0.04418444 0.02211177 0.00474933]\n", "[ 0.01335433 -0.01176581 -0.04418099 0.02210961 0.0047475 ]\n", "[ 0.01335496 -0.01176636 -0.04417753 0.02210745 0.00474566]\n", "[ 0.01335558 -0.0117669 -0.04417408 0.02210528 0.00474382]\n", "[ 0.01335621 -0.01176744 -0.04417063 0.02210312 0.00474199]\n", "[ 0.01335684 -0.01176798 -0.04416718 0.02210096 0.00474015]\n", "[ 0.01335746 -0.01176852 -0.04416373 0.0220988 0.00473832]\n", "[ 0.01335809 -0.01176907 -0.04416027 0.02209664 0.00473648]\n", "[ 0.01335871 -0.01176961 -0.04415682 0.02209448 0.00473465]\n", "[ 0.01335934 -0.01177015 -0.04415337 0.02209232 0.00473281]\n", "[ 0.01335996 -0.01177069 -0.04414992 0.02209016 0.00473098]\n", "[ 0.01336059 -0.01177123 -0.04414648 0.022088 0.00472914]\n", "[ 0.01336121 -0.01177177 -0.04414303 0.02208584 0.00472731]\n", "[ 0.01336184 -0.01177231 -0.04413958 0.02208368 0.00472548]\n", "[ 0.01336246 -0.01177285 -0.04413613 0.02208152 0.00472364]\n", "[ 0.01336309 -0.01177339 -0.04413268 0.02207937 0.00472181]\n", "[ 0.01336371 -0.01177393 -0.04412923 0.02207721 0.00471998]\n", "[ 0.01336434 -0.01177447 -0.04412579 0.02207505 0.00471814]\n", "[ 0.01336496 -0.01177501 -0.04412234 0.02207289 0.00471631]\n", "[ 0.01336558 -0.01177556 -0.04411889 0.02207073 0.00471448]\n", "[ 0.01336621 -0.0117761 -0.04411545 0.02206858 0.00471265]\n", "[ 0.01336683 -0.01177664 -0.044112 0.02206642 0.00471082]\n", "[ 0.01336746 -0.01177717 -0.04410856 0.02206426 0.00470899]\n", "[ 0.01336808 -0.01177771 -0.04410511 0.02206211 0.00470715]\n", "[ 0.0133687 -0.01177825 -0.04410167 0.02205995 0.00470532]\n", "[ 0.01336933 -0.01177879 -0.04409822 0.0220578 0.00470349]\n", "[ 0.01336995 -0.01177933 -0.04409478 0.02205564 0.00470166]\n", "[ 0.01337057 -0.01177987 -0.04409134 0.02205349 0.00469983]\n", "[ 0.01337119 -0.01178041 -0.0440879 0.02205133 0.004698 ]\n", "[ 0.01337182 -0.01178095 -0.04408445 0.02204918 0.00469617]\n", "[ 0.01337244 -0.01178149 -0.04408101 0.02204702 0.00469434]\n", "[ 0.01337306 -0.01178203 -0.04407757 0.02204487 0.00469251]\n", "[ 0.01337368 -0.01178257 -0.04407413 0.02204271 0.00469069]\n", "[ 0.01337431 -0.0117831 -0.04407069 0.02204056 0.00468886]\n", "[ 0.01337493 -0.01178364 -0.04406725 0.02203841 0.00468703]\n", "[ 0.01337555 -0.01178418 -0.04406381 0.02203625 0.0046852 ]\n", "[ 0.01337617 -0.01178472 -0.04406037 0.0220341 0.00468337]\n", "[ 0.01337679 -0.01178526 -0.04405693 0.02203195 0.00468154]\n", "[ 0.01337741 -0.01178579 -0.04405349 0.0220298 0.00467972]\n", "[ 0.01337804 -0.01178633 -0.04405005 0.02202764 0.00467789]\n", "[ 0.01337866 -0.01178687 -0.04404661 0.02202549 0.00467606]\n", "[ 0.01337928 -0.01178741 -0.04404317 0.02202334 0.00467424]\n", "[ 0.0133799 -0.01178794 -0.04403974 0.02202119 0.00467241]\n", "[ 0.01338052 -0.01178848 -0.0440363 0.02201904 0.00467058]\n", "[ 0.01338114 -0.01178902 -0.04403286 0.02201689 0.00466876]\n", "[ 0.01338176 -0.01178955 -0.04402943 0.02201474 0.00466693]\n", "[ 0.01338238 -0.01179009 -0.04402599 0.02201259 0.00466511]\n", "[ 0.013383 -0.01179063 -0.04402255 0.02201044 0.00466328]\n", "[ 0.01338362 -0.01179116 -0.04401912 0.02200829 0.00466146]\n", "[ 0.01338424 -0.0117917 -0.04401568 0.02200614 0.00465963]\n", "[ 0.01338486 -0.01179224 -0.04401225 0.02200399 0.00465781]\n", "[ 0.01338548 -0.01179277 -0.04400882 0.02200184 0.00465598]\n", "[ 0.0133861 -0.01179331 -0.04400538 0.02199969 0.00465416]\n", "[ 0.01338672 -0.01179384 -0.04400195 0.02199754 0.00465234]\n", "[ 0.01338734 -0.01179438 -0.04399852 0.02199539 0.00465051]\n", "[ 0.01338796 -0.01179492 -0.04399508 0.02199325 0.00464869]\n", "[ 0.01338858 -0.01179545 -0.04399165 0.0219911 0.00464687]\n", "[ 0.01338919 -0.01179599 -0.04398822 0.02198895 0.00464504]\n", "[ 0.01338981 -0.01179652 -0.04398479 0.0219868 0.00464322]\n", "[ 0.01339043 -0.01179706 -0.04398136 0.02198466 0.0046414 ]\n", "[ 0.01339105 -0.01179759 -0.04397793 0.02198251 0.00463958]\n", "[ 0.01339167 -0.01179813 -0.0439745 0.02198036 0.00463776]\n", "[ 0.01339229 -0.01179866 -0.04397107 0.02197822 0.00463593]\n", "[ 0.0133929 -0.0117992 -0.04396764 0.02197607 0.00463411]\n", "[ 0.01339352 -0.01179973 -0.04396421 0.02197393 0.00463229]\n", "[ 0.01339414 -0.01180026 -0.04396078 0.02197178 0.00463047]\n", "[ 0.01339476 -0.0118008 -0.04395735 0.02196964 0.00462865]\n", "[ 0.01339537 -0.01180133 -0.04395392 0.02196749 0.00462683]\n", "[ 0.01339599 -0.01180187 -0.04395049 0.02196535 0.00462501]\n", "[ 0.01339661 -0.0118024 -0.04394707 0.0219632 0.00462319]\n", "[ 0.01339723 -0.01180293 -0.04394364 0.02196106 0.00462137]\n", "[ 0.01339784 -0.01180347 -0.04394021 0.02195892 0.00461955]\n", "[ 0.01339846 -0.011804 -0.04393679 0.02195677 0.00461773]\n", "[ 0.01339908 -0.01180453 -0.04393336 0.02195463 0.00461591]\n", "[ 0.01339969 -0.01180507 -0.04392994 0.02195249 0.0046141 ]\n", "[ 0.01340031 -0.0118056 -0.04392651 0.02195035 0.00461228]\n", "[ 0.01340092 -0.01180613 -0.04392309 0.0219482 0.00461046]\n", "[ 0.01340154 -0.01180667 -0.04391966 0.02194606 0.00460864]\n", "[ 0.01340216 -0.0118072 -0.04391624 0.02194392 0.00460682]\n", "[ 0.01340277 -0.01180773 -0.04391282 0.02194178 0.00460501]\n", "[ 0.01340339 -0.01180826 -0.04390939 0.02193964 0.00460319]\n", "[ 0.013404 -0.0118088 -0.04390597 0.0219375 0.00460137]\n", "[ 0.01340462 -0.01180933 -0.04390255 0.02193536 0.00459956]\n", "[ 0.01340523 -0.01180986 -0.04389913 0.02193322 0.00459774]\n", "[ 0.01340585 -0.01181039 -0.04389571 0.02193108 0.00459592]\n", "[ 0.01340646 -0.01181092 -0.04389228 0.02192894 0.00459411]\n", "[ 0.01340708 -0.01181146 -0.04388886 0.0219268 0.00459229]\n", "[ 0.01340769 -0.01181199 -0.04388544 0.02192466 0.00459048]\n", "[ 0.01340831 -0.01181252 -0.04388202 0.02192252 0.00458866]\n", "[ 0.01340892 -0.01181305 -0.0438786 0.02192038 0.00458685]\n", "[ 0.01340954 -0.01181358 -0.04387518 0.02191824 0.00458503]\n", "[ 0.01341015 -0.01181411 -0.04387177 0.0219161 0.00458322]\n", "[ 0.01341076 -0.01181464 -0.04386835 0.02191396 0.0045814 ]\n", "[ 0.01341138 -0.01181517 -0.04386493 0.02191183 0.00457959]\n", "[ 0.01341199 -0.01181571 -0.04386151 0.02190969 0.00457778]\n", "[ 0.0134126 -0.01181624 -0.04385809 0.02190755 0.00457596]\n", "[ 0.01341322 -0.01181677 -0.04385468 0.02190541 0.00457415]\n", "[ 0.01341383 -0.0118173 -0.04385126 0.02190328 0.00457234]\n", "[ 0.01341444 -0.01181783 -0.04384784 0.02190114 0.00457052]\n", "[ 0.01341506 -0.01181836 -0.04384443 0.021899 0.00456871]\n", "[ 0.01341567 -0.01181889 -0.04384101 0.02189687 0.0045669 ]\n", "[ 0.01341628 -0.01181942 -0.0438376 0.02189473 0.00456509]\n", "[ 0.0134169 -0.01181995 -0.04383418 0.0218926 0.00456328]\n", "[ 0.01341751 -0.01182048 -0.04383077 0.02189046 0.00456147]\n", "[ 0.01341812 -0.011821 -0.04382735 0.02188833 0.00455965]\n", "[ 0.01341873 -0.01182153 -0.04382394 0.02188619 0.00455784]\n", "[ 0.01341934 -0.01182206 -0.04382053 0.02188406 0.00455603]\n", "[ 0.01341996 -0.01182259 -0.04381711 0.02188192 0.00455422]\n", "[ 0.01342057 -0.01182312 -0.0438137 0.02187979 0.00455241]\n", "[ 0.01342118 -0.01182365 -0.04381029 0.02187766 0.0045506 ]\n", "[ 0.01342179 -0.01182418 -0.04380688 0.02187552 0.00454879]\n", "[ 0.0134224 -0.01182471 -0.04380347 0.02187339 0.00454698]\n", "[ 0.01342301 -0.01182524 -0.04380006 0.02187126 0.00454517]\n", "[ 0.01342362 -0.01182576 -0.04379665 0.02186913 0.00454337]\n", "[ 0.01342424 -0.01182629 -0.04379324 0.02186699 0.00454156]\n", "[ 0.01342485 -0.01182682 -0.04378983 0.02186486 0.00453975]\n", "[ 0.01342546 -0.01182735 -0.04378642 0.02186273 0.00453794]\n", "[ 0.01342607 -0.01182788 -0.04378301 0.0218606 0.00453613]\n", "[ 0.01342668 -0.0118284 -0.0437796 0.02185847 0.00453432]\n", "[ 0.01342729 -0.01182893 -0.04377619 0.02185634 0.00453252]\n", "[ 0.0134279 -0.01182946 -0.04377278 0.02185421 0.00453071]\n", "[ 0.01342851 -0.01182999 -0.04376938 0.02185208 0.0045289 ]\n", "[ 0.01342912 -0.01183051 -0.04376597 0.02184995 0.0045271 ]\n", "[ 0.01342973 -0.01183104 -0.04376256 0.02184782 0.00452529]\n", "[ 0.01343034 -0.01183157 -0.04375916 0.02184569 0.00452348]\n", "[ 0.01343095 -0.01183209 -0.04375575 0.02184356 0.00452168]\n", "[ 0.01343156 -0.01183262 -0.04375234 0.02184143 0.00451987]\n", "[ 0.01343216 -0.01183315 -0.04374894 0.0218393 0.00451807]\n", "[ 0.01343277 -0.01183367 -0.04374553 0.02183717 0.00451626]\n", "[ 0.01343338 -0.0118342 -0.04374213 0.02183504 0.00451446]\n", "[ 0.01343399 -0.01183473 -0.04373872 0.02183291 0.00451265]\n", "[ 0.0134346 -0.01183525 -0.04373532 0.02183079 0.00451085]\n", "[ 0.01343521 -0.01183578 -0.04373192 0.02182866 0.00450904]\n", "[ 0.01343582 -0.0118363 -0.04372851 0.02182653 0.00450724]\n", "[ 0.01343642 -0.01183683 -0.04372511 0.0218244 0.00450544]\n", "[ 0.01343703 -0.01183735 -0.04372171 0.02182228 0.00450363]\n", "[ 0.01343764 -0.01183788 -0.04371831 0.02182015 0.00450183]\n", "[ 0.01343825 -0.0118384 -0.04371491 0.02181803 0.00450003]\n", "[ 0.01343886 -0.01183893 -0.04371151 0.0218159 0.00449822]\n", "[ 0.01343946 -0.01183946 -0.0437081 0.02181377 0.00449642]\n", "[ 0.01344007 -0.01183998 -0.0437047 0.02181165 0.00449462]\n", "[ 0.01344068 -0.0118405 -0.0437013 0.02180952 0.00449282]\n", "[ 0.01344129 -0.01184103 -0.0436979 0.0218074 0.00449101]\n", "[ 0.01344189 -0.01184155 -0.04369451 0.02180527 0.00448921]\n", "[ 0.0134425 -0.01184208 -0.04369111 0.02180315 0.00448741]\n", "[ 0.01344311 -0.0118426 -0.04368771 0.02180103 0.00448561]\n", "[ 0.01344371 -0.01184313 -0.04368431 0.0217989 0.00448381]\n", "[ 0.01344432 -0.01184365 -0.04368091 0.02179678 0.00448201]\n", "[ 0.01344493 -0.01184417 -0.04367752 0.02179465 0.00448021]\n", "[ 0.01344553 -0.0118447 -0.04367412 0.02179253 0.00447841]\n", "[ 0.01344614 -0.01184522 -0.04367072 0.02179041 0.00447661]\n", "[ 0.01344674 -0.01184575 -0.04366733 0.02178829 0.00447481]\n", "[ 0.01344735 -0.01184627 -0.04366393 0.02178616 0.00447301]\n", "[ 0.01344795 -0.01184679 -0.04366053 0.02178404 0.00447121]\n", "[ 0.01344856 -0.01184732 -0.04365714 0.02178192 0.00446941]\n", "[ 0.01344917 -0.01184784 -0.04365374 0.0217798 0.00446761]\n", "[ 0.01344977 -0.01184836 -0.04365035 0.02177768 0.00446581]\n", "[ 0.01345038 -0.01184888 -0.04364696 0.02177556 0.00446402]\n", "[ 0.01345098 -0.01184941 -0.04364356 0.02177344 0.00446222]\n", "[ 0.01345158 -0.01184993 -0.04364017 0.02177132 0.00446042]\n", "[ 0.01345219 -0.01185045 -0.04363678 0.0217692 0.00445862]\n", "[ 0.01345279 -0.01185097 -0.04363338 0.02176708 0.00445683]\n", "[ 0.0134534 -0.0118515 -0.04362999 0.02176496 0.00445503]\n", "[ 0.013454 -0.01185202 -0.0436266 0.02176284 0.00445323]\n", "[ 0.01345461 -0.01185254 -0.04362321 0.02176072 0.00445144]\n", "[ 0.01345521 -0.01185306 -0.04361982 0.0217586 0.00444964]\n", "[ 0.01345581 -0.01185358 -0.04361643 0.02175648 0.00444784]\n", "[ 0.01345642 -0.01185411 -0.04361304 0.02175436 0.00444605]\n", "[ 0.01345702 -0.01185463 -0.04360965 0.02175224 0.00444425]\n", "[ 0.01345762 -0.01185515 -0.04360626 0.02175013 0.00444246]\n", "[ 0.01345823 -0.01185567 -0.04360287 0.02174801 0.00444066]\n", "[ 0.01345883 -0.01185619 -0.04359948 0.02174589 0.00443887]\n", "[ 0.01345943 -0.01185671 -0.04359609 0.02174377 0.00443707]\n", "[ 0.01346004 -0.01185723 -0.0435927 0.02174166 0.00443528]\n", "[ 0.01346064 -0.01185775 -0.04358932 0.02173954 0.00443349]\n", "[ 0.01346124 -0.01185827 -0.04358593 0.02173742 0.00443169]\n", "[ 0.01346184 -0.01185879 -0.04358254 0.02173531 0.0044299 ]\n", "[ 0.01346245 -0.01185931 -0.04357916 0.02173319 0.0044281 ]\n", "[ 0.01346305 -0.01185983 -0.04357577 0.02173108 0.00442631]\n", "[ 0.01346365 -0.01186035 -0.04357238 0.02172896 0.00442452]\n", "[ 0.01346425 -0.01186087 -0.043569 0.02172685 0.00442273]\n", "[ 0.01346486 -0.01186139 -0.04356561 0.02172473 0.00442093]\n", "[ 0.01346546 -0.01186191 -0.04356223 0.02172262 0.00441914]\n", "[ 0.01346606 -0.01186243 -0.04355885 0.0217205 0.00441735]\n", "[ 0.01346666 -0.01186295 -0.04355546 0.02171839 0.00441556]\n", "[ 0.01346726 -0.01186347 -0.04355208 0.02171628 0.00441377]\n", "[ 0.01346786 -0.01186399 -0.04354869 0.02171416 0.00441198]\n", "[ 0.01346846 -0.01186451 -0.04354531 0.02171205 0.00441019]\n", "[ 0.01346906 -0.01186503 -0.04354193 0.02170994 0.00440839]\n", "[ 0.01346966 -0.01186555 -0.04353855 0.02170783 0.0044066 ]\n", "[ 0.01347026 -0.01186607 -0.04353517 0.02170571 0.00440481]\n", "[ 0.01347087 -0.01186658 -0.04353179 0.0217036 0.00440302]\n", "[ 0.01347147 -0.0118671 -0.0435284 0.02170149 0.00440124]\n", "[ 0.01347207 -0.01186762 -0.04352502 0.02169938 0.00439945]\n", "[ 0.01347267 -0.01186814 -0.04352164 0.02169727 0.00439766]\n", "[ 0.01347327 -0.01186866 -0.04351826 0.02169516 0.00439587]\n", "[ 0.01347387 -0.01186918 -0.04351488 0.02169304 0.00439408]\n", "[ 0.01347447 -0.01186969 -0.04351151 0.02169093 0.00439229]\n", "[ 0.01347506 -0.01187021 -0.04350813 0.02168882 0.0043905 ]\n", "[ 0.01347566 -0.01187073 -0.04350475 0.02168671 0.00438871]\n", "[ 0.01347626 -0.01187125 -0.04350137 0.0216846 0.00438693]\n", "[ 0.01347686 -0.01187176 -0.04349799 0.02168249 0.00438514]\n", "[ 0.01347746 -0.01187228 -0.04349462 0.02168039 0.00438335]\n", "[ 0.01347806 -0.0118728 -0.04349124 0.02167828 0.00438157]\n", "[ 0.01347866 -0.01187331 -0.04348786 0.02167617 0.00437978]\n", "[ 0.01347926 -0.01187383 -0.04348449 0.02167406 0.00437799]\n", "[ 0.01347986 -0.01187435 -0.04348111 0.02167195 0.00437621]\n", "[ 0.01348045 -0.01187487 -0.04347774 0.02166984 0.00437442]\n", "[ 0.01348105 -0.01187538 -0.04347436 0.02166774 0.00437263]\n", "[ 0.01348165 -0.0118759 -0.04347099 0.02166563 0.00437085]\n", "[ 0.01348225 -0.01187641 -0.04346761 0.02166352 0.00436906]\n", "[ 0.01348285 -0.01187693 -0.04346424 0.02166141 0.00436728]\n", "[ 0.01348344 -0.01187745 -0.04346087 0.02165931 0.00436549]\n", "[ 0.01348404 -0.01187796 -0.04345749 0.0216572 0.00436371]\n", "[ 0.01348464 -0.01187848 -0.04345412 0.0216551 0.00436192]\n", "[ 0.01348523 -0.01187899 -0.04345075 0.02165299 0.00436014]\n", "[ 0.01348583 -0.01187951 -0.04344738 0.02165088 0.00435836]\n", "[ 0.01348643 -0.01188002 -0.04344401 0.02164878 0.00435657]\n", "[ 0.01348703 -0.01188054 -0.04344063 0.02164667 0.00435479]\n", "[ 0.01348762 -0.01188105 -0.04343726 0.02164457 0.00435301]\n", "[ 0.01348822 -0.01188157 -0.04343389 0.02164246 0.00435122]\n", "[ 0.01348881 -0.01188208 -0.04343052 0.02164036 0.00434944]\n", "[ 0.01348941 -0.0118826 -0.04342715 0.02163826 0.00434766]\n", "[ 0.01349001 -0.01188311 -0.04342378 0.02163615 0.00434588]\n", "[ 0.0134906 -0.01188363 -0.04342042 0.02163405 0.0043441 ]\n", "[ 0.0134912 -0.01188414 -0.04341705 0.02163195 0.00434231]\n", "[ 0.01349179 -0.01188466 -0.04341368 0.02162984 0.00434053]\n", "[ 0.01349239 -0.01188517 -0.04341031 0.02162774 0.00433875]\n", "[ 0.01349299 -0.01188568 -0.04340694 0.02162564 0.00433697]\n", "[ 0.01349358 -0.0118862 -0.04340358 0.02162354 0.00433519]\n", "[ 0.01349418 -0.01188671 -0.04340021 0.02162143 0.00433341]\n", "[ 0.01349477 -0.01188723 -0.04339684 0.02161933 0.00433163]\n", "[ 0.01349537 -0.01188774 -0.04339348 0.02161723 0.00432985]\n", "[ 0.01349596 -0.01188825 -0.04339011 0.02161513 0.00432807]\n", "[ 0.01349656 -0.01188877 -0.04338675 0.02161303 0.00432629]\n", "[ 0.01349715 -0.01188928 -0.04338338 0.02161093 0.00432451]\n", "[ 0.01349774 -0.01188979 -0.04338002 0.02160883 0.00432273]\n", "[ 0.01349834 -0.0118903 -0.04337665 0.02160673 0.00432095]\n", "[ 0.01349893 -0.01189082 -0.04337329 0.02160463 0.00431918]\n", "[ 0.01349953 -0.01189133 -0.04336993 0.02160253 0.0043174 ]\n", "[ 0.01350012 -0.01189184 -0.04336656 0.02160043 0.00431562]\n", "[ 0.01350071 -0.01189236 -0.0433632 0.02159833 0.00431384]\n", "[ 0.01350131 -0.01189287 -0.04335984 0.02159623 0.00431206]\n", "[ 0.0135019 -0.01189338 -0.04335648 0.02159413 0.00431029]\n", "[ 0.01350249 -0.01189389 -0.04335312 0.02159203 0.00430851]\n", "[ 0.01350309 -0.0118944 -0.04334976 0.02158994 0.00430673]\n", "[ 0.01350368 -0.01189492 -0.04334639 0.02158784 0.00430496]\n", "[ 0.01350427 -0.01189543 -0.04334303 0.02158574 0.00430318]\n", "[ 0.01350487 -0.01189594 -0.04333967 0.02158364 0.0043014 ]\n", "[ 0.01350546 -0.01189645 -0.04333631 0.02158155 0.00429963]\n", "[ 0.01350605 -0.01189696 -0.04333296 0.02157945 0.00429785]\n", "[ 0.01350664 -0.01189747 -0.0433296 0.02157735 0.00429608]\n", "[ 0.01350723 -0.01189798 -0.04332624 0.02157526 0.0042943 ]\n", "[ 0.01350783 -0.01189849 -0.04332288 0.02157316 0.00429253]\n", "[ 0.01350842 -0.011899 -0.04331952 0.02157107 0.00429075]\n", "[ 0.01350901 -0.01189952 -0.04331617 0.02156897 0.00428898]\n", "[ 0.0135096 -0.01190003 -0.04331281 0.02156687 0.0042872 ]\n", "[ 0.01351019 -0.01190054 -0.04330945 0.02156478 0.00428543]\n", "[ 0.01351079 -0.01190105 -0.0433061 0.02156269 0.00428366]\n", "[ 0.01351138 -0.01190156 -0.04330274 0.02156059 0.00428188]\n", "[ 0.01351197 -0.01190207 -0.04329938 0.0215585 0.00428011]\n", "[ 0.01351256 -0.01190258 -0.04329603 0.0215564 0.00427834]\n", "[ 0.01351315 -0.01190309 -0.04329267 0.02155431 0.00427656]\n", "[ 0.01351374 -0.0119036 -0.04328932 0.02155222 0.00427479]\n", "[ 0.01351433 -0.01190411 -0.04328597 0.02155012 0.00427302]\n", "[ 0.01351492 -0.01190462 -0.04328261 0.02154803 0.00427125]\n", "[ 0.01351551 -0.01190512 -0.04327926 0.02154594 0.00426948]\n", "[ 0.0135161 -0.01190563 -0.04327591 0.02154384 0.0042677 ]\n", "[ 0.01351669 -0.01190614 -0.04327255 0.02154175 0.00426593]\n", "[ 0.01351728 -0.01190665 -0.0432692 0.02153966 0.00426416]\n", "[ 0.01351787 -0.01190716 -0.04326585 0.02153757 0.00426239]\n", "[ 0.01351846 -0.01190767 -0.0432625 0.02153548 0.00426062]\n", "[ 0.01351905 -0.01190818 -0.04325915 0.02153339 0.00425885]\n", "[ 0.01351964 -0.01190869 -0.0432558 0.0215313 0.00425708]\n", "[ 0.01352023 -0.01190919 -0.04325245 0.02152921 0.00425531]\n", "[ 0.01352082 -0.0119097 -0.0432491 0.02152712 0.00425354]\n", "[ 0.01352141 -0.01191021 -0.04324575 0.02152503 0.00425177]\n", "[ 0.013522 -0.01191072 -0.0432424 0.02152294 0.00425 ]\n", "[ 0.01352258 -0.01191123 -0.04323905 0.02152085 0.00424823]\n", "[ 0.01352317 -0.01191173 -0.0432357 0.02151876 0.00424647]\n", "[ 0.01352376 -0.01191224 -0.04323235 0.02151667 0.0042447 ]\n", "[ 0.01352435 -0.01191275 -0.04322901 0.02151458 0.00424293]\n", "[ 0.01352494 -0.01191326 -0.04322566 0.02151249 0.00424116]\n", "[ 0.01352553 -0.01191376 -0.04322231 0.0215104 0.00423939]\n", "[ 0.01352611 -0.01191427 -0.04321896 0.02150831 0.00423763]\n", "[ 0.0135267 -0.01191478 -0.04321562 0.02150623 0.00423586]\n", "[ 0.01352729 -0.01191529 -0.04321227 0.02150414 0.00423409]\n", "[ 0.01352788 -0.01191579 -0.04320893 0.02150205 0.00423233]\n", "[ 0.01352846 -0.0119163 -0.04320558 0.02149997 0.00423056]\n", "[ 0.01352905 -0.01191681 -0.04320224 0.02149788 0.00422879]\n", "[ 0.01352964 -0.01191731 -0.04319889 0.02149579 0.00422703]\n", "[ 0.01353022 -0.01191782 -0.04319555 0.02149371 0.00422526]\n", "[ 0.01353081 -0.01191832 -0.0431922 0.02149162 0.0042235 ]\n", "[ 0.0135314 -0.01191883 -0.04318886 0.02148953 0.00422173]\n", "[ 0.01353199 -0.01191934 -0.04318552 0.02148745 0.00421997]\n", "[ 0.01353257 -0.01191984 -0.04318218 0.02148536 0.0042182 ]\n", "[ 0.01353316 -0.01192035 -0.04317883 0.02148328 0.00421644]\n", "[ 0.01353374 -0.01192085 -0.04317549 0.02148119 0.00421467]\n", "[ 0.01353433 -0.01192136 -0.04317215 0.02147911 0.00421291]\n", "[ 0.01353492 -0.01192186 -0.04316881 0.02147703 0.00421114]\n", "[ 0.0135355 -0.01192237 -0.04316547 0.02147494 0.00420938]\n", "[ 0.01353609 -0.01192287 -0.04316213 0.02147286 0.00420762]\n", "[ 0.01353667 -0.01192338 -0.04315879 0.02147078 0.00420585]\n", "[ 0.01353726 -0.01192388 -0.04315545 0.02146869 0.00420409]\n", "[ 0.01353784 -0.01192439 -0.04315211 0.02146661 0.00420233]\n", "[ 0.01353843 -0.01192489 -0.04314877 0.02146453 0.00420057]\n", "[ 0.01353901 -0.0119254 -0.04314543 0.02146244 0.0041988 ]\n", "[ 0.0135396 -0.0119259 -0.04314209 0.02146036 0.00419704]\n", "[ 0.01354018 -0.01192641 -0.04313876 0.02145828 0.00419528]\n", "[ 0.01354077 -0.01192691 -0.04313542 0.0214562 0.00419352]\n", "[ 0.01354135 -0.01192741 -0.04313208 0.02145412 0.00419176]\n", "[ 0.01354194 -0.01192792 -0.04312875 0.02145204 0.00419 ]\n", "[ 0.01354252 -0.01192842 -0.04312541 0.02144996 0.00418824]\n", "[ 0.0135431 -0.01192892 -0.04312207 0.02144788 0.00418648]\n", "[ 0.01354369 -0.01192943 -0.04311874 0.0214458 0.00418472]\n", "[ 0.01354427 -0.01192993 -0.0431154 0.02144372 0.00418296]\n", "[ 0.01354486 -0.01193043 -0.04311207 0.02144164 0.0041812 ]\n", "[ 0.01354544 -0.01193094 -0.04310873 0.02143956 0.00417944]\n", "[ 0.01354602 -0.01193144 -0.0431054 0.02143748 0.00417768]\n", "[ 0.01354661 -0.01193194 -0.04310207 0.0214354 0.00417592]\n", "[ 0.01354719 -0.01193245 -0.04309873 0.02143332 0.00417416]\n", "[ 0.01354777 -0.01193295 -0.0430954 0.02143124 0.0041724 ]\n", "[ 0.01354835 -0.01193345 -0.04309207 0.02142916 0.00417064]\n", "[ 0.01354894 -0.01193395 -0.04308874 0.02142709 0.00416889]\n", "[ 0.01354952 -0.01193446 -0.0430854 0.02142501 0.00416713]\n", "[ 0.0135501 -0.01193496 -0.04308207 0.02142293 0.00416537]\n", "[ 0.01355068 -0.01193546 -0.04307874 0.02142085 0.00416361]\n", "[ 0.01355127 -0.01193596 -0.04307541 0.02141878 0.00416186]\n", "[ 0.01355185 -0.01193646 -0.04307208 0.0214167 0.0041601 ]\n", "[ 0.01355243 -0.01193696 -0.04306875 0.02141462 0.00415834]\n", "[ 0.01355301 -0.01193747 -0.04306542 0.02141255 0.00415659]\n", "[ 0.01355359 -0.01193797 -0.04306209 0.02141047 0.00415483]\n", "[ 0.01355417 -0.01193847 -0.04305876 0.0214084 0.00415307]\n", "[ 0.01355476 -0.01193897 -0.04305543 0.02140632 0.00415132]\n", "[ 0.01355534 -0.01193947 -0.04305211 0.02140424 0.00414956]\n", "[ 0.01355592 -0.01193997 -0.04304878 0.02140217 0.00414781]\n", "[ 0.0135565 -0.01194047 -0.04304545 0.0214001 0.00414605]\n", "[ 0.01355708 -0.01194097 -0.04304212 0.02139802 0.0041443 ]\n", "[ 0.01355766 -0.01194147 -0.0430388 0.02139595 0.00414254]\n", "[ 0.01355824 -0.01194197 -0.04303547 0.02139387 0.00414079]\n", "[ 0.01355882 -0.01194247 -0.04303215 0.0213918 0.00413904]\n", "[ 0.0135594 -0.01194297 -0.04302882 0.02138973 0.00413728]\n", "[ 0.01355998 -0.01194347 -0.04302549 0.02138765 0.00413553]\n", "[ 0.01356056 -0.01194397 -0.04302217 0.02138558 0.00413378]\n", "[ 0.01356114 -0.01194447 -0.04301885 0.02138351 0.00413202]\n", "[ 0.01356172 -0.01194497 -0.04301552 0.02138144 0.00413027]\n", "[ 0.0135623 -0.01194547 -0.0430122 0.02137936 0.00412852]\n", "[ 0.01356288 -0.01194597 -0.04300887 0.02137729 0.00412676]\n", "[ 0.01356346 -0.01194647 -0.04300555 0.02137522 0.00412501]\n", "[ 0.01356404 -0.01194697 -0.04300223 0.02137315 0.00412326]\n", "[ 0.01356462 -0.01194747 -0.04299891 0.02137108 0.00412151]\n", "[ 0.0135652 -0.01194797 -0.04299558 0.02136901 0.00411976]\n", "[ 0.01356578 -0.01194847 -0.04299226 0.02136694 0.00411801]\n", "[ 0.01356636 -0.01194897 -0.04298894 0.02136487 0.00411626]\n", "[ 0.01356693 -0.01194947 -0.04298562 0.0213628 0.0041145 ]\n", "[ 0.01356751 -0.01194996 -0.0429823 0.02136073 0.00411275]\n", "[ 0.01356809 -0.01195046 -0.04297898 0.02135866 0.004111 ]\n", "[ 0.01356867 -0.01195096 -0.04297566 0.02135659 0.00410925]\n", "[ 0.01356925 -0.01195146 -0.04297234 0.02135452 0.0041075 ]\n", "[ 0.01356982 -0.01195196 -0.04296902 0.02135245 0.00410576]\n", "[ 0.0135704 -0.01195245 -0.0429657 0.02135038 0.00410401]\n", "[ 0.01357098 -0.01195295 -0.04296239 0.02134831 0.00410226]\n", "[ 0.01357156 -0.01195345 -0.04295907 0.02134625 0.00410051]\n", "[ 0.01357213 -0.01195395 -0.04295575 0.02134418 0.00409876]\n", "[ 0.01357271 -0.01195444 -0.04295243 0.02134211 0.00409701]\n", "[ 0.01357329 -0.01195494 -0.04294912 0.02134004 0.00409526]\n", "[ 0.01357387 -0.01195544 -0.0429458 0.02133798 0.00409352]\n", "[ 0.01357444 -0.01195594 -0.04294248 0.02133591 0.00409177]\n", "[ 0.01357502 -0.01195643 -0.04293917 0.02133384 0.00409002]\n", "[ 0.0135756 -0.01195693 -0.04293585 0.02133178 0.00408827]\n", "[ 0.01357617 -0.01195743 -0.04293254 0.02132971 0.00408653]\n", "[ 0.01357675 -0.01195792 -0.04292922 0.02132765 0.00408478]\n", "[ 0.01357732 -0.01195842 -0.04292591 0.02132558 0.00408303]\n", "[ 0.0135779 -0.01195892 -0.0429226 0.02132351 0.00408129]\n", "[ 0.01357848 -0.01195941 -0.04291928 0.02132145 0.00407954]\n", "[ 0.01357905 -0.01195991 -0.04291597 0.02131939 0.0040778 ]\n", "[ 0.01357963 -0.0119604 -0.04291266 0.02131732 0.00407605]\n", "[ 0.0135802 -0.0119609 -0.04290934 0.02131526 0.00407431]\n", "[ 0.01358078 -0.0119614 -0.04290603 0.02131319 0.00407256]\n", "[ 0.01358135 -0.01196189 -0.04290272 0.02131113 0.00407082]\n", "[ 0.01358193 -0.01196239 -0.04289941 0.02130907 0.00406907]\n", "[ 0.0135825 -0.01196288 -0.0428961 0.021307 0.00406733]\n", "[ 0.01358308 -0.01196338 -0.04289279 0.02130494 0.00406558]\n", "[ 0.01358365 -0.01196387 -0.04288948 0.02130288 0.00406384]\n", "[ 0.01358423 -0.01196437 -0.04288617 0.02130082 0.0040621 ]\n", "[ 0.0135848 -0.01196486 -0.04288286 0.02129875 0.00406035]\n", "[ 0.01358538 -0.01196536 -0.04287955 0.02129669 0.00405861]\n", "[ 0.01358595 -0.01196585 -0.04287624 0.02129463 0.00405687]\n", "[ 0.01358653 -0.01196635 -0.04287293 0.02129257 0.00405512]\n", "[ 0.0135871 -0.01196684 -0.04286962 0.02129051 0.00405338]\n", "[ 0.01358767 -0.01196733 -0.04286632 0.02128845 0.00405164]\n", "[ 0.01358825 -0.01196783 -0.04286301 0.02128639 0.0040499 ]\n", "[ 0.01358882 -0.01196832 -0.0428597 0.02128433 0.00404816]\n", "[ 0.01358939 -0.01196882 -0.0428564 0.02128227 0.00404642]\n", "[ 0.01358997 -0.01196931 -0.04285309 0.02128021 0.00404467]\n", "[ 0.01359054 -0.0119698 -0.04284978 0.02127815 0.00404293]\n", "[ 0.01359111 -0.0119703 -0.04284648 0.02127609 0.00404119]\n", "[ 0.01359169 -0.01197079 -0.04284317 0.02127403 0.00403945]\n", "[ 0.01359226 -0.01197128 -0.04283987 0.02127197 0.00403771]\n", "[ 0.01359283 -0.01197178 -0.04283656 0.02126991 0.00403597]\n", "[ 0.0135934 -0.01197227 -0.04283326 0.02126785 0.00403423]\n", "[ 0.01359398 -0.01197276 -0.04282996 0.02126579 0.00403249]\n", "[ 0.01359455 -0.01197326 -0.04282665 0.02126374 0.00403075]\n", "[ 0.01359512 -0.01197375 -0.04282335 0.02126168 0.00402901]\n", "[ 0.01359569 -0.01197424 -0.04282005 0.02125962 0.00402728]\n", "[ 0.01359626 -0.01197473 -0.04281675 0.02125756 0.00402554]\n", "[ 0.01359684 -0.01197523 -0.04281344 0.02125551 0.0040238 ]\n", "[ 0.01359741 -0.01197572 -0.04281014 0.02125345 0.00402206]\n", "[ 0.01359798 -0.01197621 -0.04280684 0.02125139 0.00402032]\n", "[ 0.01359855 -0.0119767 -0.04280354 0.02124934 0.00401859]\n", "[ 0.01359912 -0.01197719 -0.04280024 0.02124728 0.00401685]\n", "[ 0.01359969 -0.01197769 -0.04279694 0.02124523 0.00401511]\n", "[ 0.01360026 -0.01197818 -0.04279364 0.02124317 0.00401337]\n", "[ 0.01360083 -0.01197867 -0.04279034 0.02124112 0.00401164]\n", "[ 0.0136014 -0.01197916 -0.04278704 0.02123906 0.0040099 ]\n", "[ 0.01360198 -0.01197965 -0.04278374 0.02123701 0.00400816]\n", "[ 0.01360255 -0.01198014 -0.04278045 0.02123495 0.00400643]\n", "[ 0.01360312 -0.01198063 -0.04277715 0.0212329 0.00400469]\n", "[ 0.01360369 -0.01198112 -0.04277385 0.02123085 0.00400296]\n", "[ 0.01360426 -0.01198161 -0.04277055 0.02122879 0.00400122]\n", "[ 0.01360483 -0.0119821 -0.04276726 0.02122674 0.00399949]\n", "[ 0.0136054 -0.0119826 -0.04276396 0.02122469 0.00399775]\n", "[ 0.01360597 -0.01198309 -0.04276067 0.02122263 0.00399602]\n", "[ 0.01360653 -0.01198358 -0.04275737 0.02122058 0.00399428]\n", "[ 0.0136071 -0.01198407 -0.04275407 0.02121853 0.00399255]\n", "[ 0.01360767 -0.01198456 -0.04275078 0.02121648 0.00399082]\n", "[ 0.01360824 -0.01198505 -0.04274749 0.02121443 0.00398908]\n", "[ 0.01360881 -0.01198554 -0.04274419 0.02121237 0.00398735]\n", "[ 0.01360938 -0.01198603 -0.0427409 0.02121032 0.00398562]\n", "[ 0.01360995 -0.01198652 -0.0427376 0.02120827 0.00398388]\n", "[ 0.01361052 -0.011987 -0.04273431 0.02120622 0.00398215]\n", "[ 0.01361109 -0.01198749 -0.04273102 0.02120417 0.00398042]\n", "[ 0.01361165 -0.01198798 -0.04272773 0.02120212 0.00397869]\n", "[ 0.01361222 -0.01198847 -0.04272443 0.02120007 0.00397695]\n", "[ 0.01361279 -0.01198896 -0.04272114 0.02119802 0.00397522]\n", "[ 0.01361336 -0.01198945 -0.04271785 0.02119597 0.00397349]\n", "[ 0.01361393 -0.01198994 -0.04271456 0.02119392 0.00397176]\n", "[ 0.01361449 -0.01199043 -0.04271127 0.02119187 0.00397003]\n", "[ 0.01361506 -0.01199092 -0.04270798 0.02118982 0.0039683 ]\n", "[ 0.01361563 -0.0119914 -0.04270469 0.02118778 0.00396657]\n", "[ 0.0136162 -0.01199189 -0.0427014 0.02118573 0.00396484]\n", "[ 0.01361676 -0.01199238 -0.04269811 0.02118368 0.00396311]\n", "[ 0.01361733 -0.01199287 -0.04269482 0.02118163 0.00396138]\n", "[ 0.0136179 -0.01199336 -0.04269153 0.02117959 0.00395965]\n", "[ 0.01361846 -0.01199384 -0.04268825 0.02117754 0.00395792]\n", "[ 0.01361903 -0.01199433 -0.04268496 0.02117549 0.00395619]\n", "[ 0.0136196 -0.01199482 -0.04268167 0.02117344 0.00395446]\n", "[ 0.01362016 -0.01199531 -0.04267839 0.0211714 0.00395273]\n", "[ 0.01362073 -0.01199579 -0.0426751 0.02116935 0.003951 ]\n", "[ 0.01362129 -0.01199628 -0.04267181 0.02116731 0.00394927]\n", "[ 0.01362186 -0.01199677 -0.04266853 0.02116526 0.00394755]\n", "[ 0.01362243 -0.01199725 -0.04266524 0.02116322 0.00394582]\n", "[ 0.01362299 -0.01199774 -0.04266196 0.02116117 0.00394409]\n", "[ 0.01362356 -0.01199823 -0.04265867 0.02115913 0.00394236]\n", "[ 0.01362412 -0.01199871 -0.04265539 0.02115708 0.00394064]\n", "[ 0.01362469 -0.0119992 -0.0426521 0.02115504 0.00393891]\n", "[ 0.01362525 -0.01199969 -0.04264882 0.02115299 0.00393718]\n", "[ 0.01362582 -0.01200017 -0.04264554 0.02115095 0.00393546]\n", "[ 0.01362638 -0.01200066 -0.04264225 0.0211489 0.00393373]\n", "[ 0.01362695 -0.01200115 -0.04263897 0.02114686 0.00393201]\n", "[ 0.01362751 -0.01200163 -0.04263569 0.02114482 0.00393028]\n", "[ 0.01362808 -0.01200212 -0.04263241 0.02114278 0.00392856]\n", "[ 0.01362864 -0.0120026 -0.04262913 0.02114073 0.00392683]\n", "[ 0.01362921 -0.01200309 -0.04262584 0.02113869 0.00392511]\n", "[ 0.01362977 -0.01200357 -0.04262256 0.02113665 0.00392338]\n", "[ 0.01363033 -0.01200406 -0.04261928 0.02113461 0.00392166]\n", "[ 0.0136309 -0.01200454 -0.042616 0.02113256 0.00391993]\n", "[ 0.01363146 -0.01200503 -0.04261272 0.02113052 0.00391821]\n", "[ 0.01363202 -0.01200551 -0.04260944 0.02112848 0.00391648]\n", "[ 0.01363259 -0.012006 -0.04260617 0.02112644 0.00391476]\n", "[ 0.01363315 -0.01200648 -0.04260289 0.0211244 0.00391304]\n", "[ 0.01363371 -0.01200697 -0.04259961 0.02112236 0.00391131]\n", "[ 0.01363428 -0.01200745 -0.04259633 0.02112032 0.00390959]\n", "[ 0.01363484 -0.01200794 -0.04259305 0.02111828 0.00390787]\n", "[ 0.0136354 -0.01200842 -0.04258978 0.02111624 0.00390615]\n", "[ 0.01363597 -0.0120089 -0.0425865 0.0211142 0.00390443]\n", "[ 0.01363653 -0.01200939 -0.04258322 0.02111216 0.0039027 ]\n" ] } ], "source": [ "# Task 8: implement the training process. (3 points in total)\n", "\n", "np.random.seed(0)\n", "omegaT = np.random.randn(1,5).T # initialize weight/bias matrix randomly\n", "\n", "# begin training\n", "for i in range(epochs):\n", " \"\"\"\n", " for each epoch, record the mae for training and validation process\n", " use the weight_update_function to update the omega\n", " \"\"\"\n", " J_val[i] = None # please update this in your solution\n", " J_train[i] = None # please update this in your solution\n", " # don't forget to update the omegaT\n", "\n", " omegaT = weight_update_function(x_train, y_train, omegaT, alpha)\n", "\n", " J_val[i] = mean_absolute_error(x_val, y_val, omegaT) # please update this in your solution\n", " J_train[i] = mean_absolute_error(x_train, y_train, omegaT) # please update this in your solution\n" ] }, { "cell_type": "code", "execution_count": 402, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "69cdefa6ea64ee1e37474a7606e4d6a0", "grade": true, "grade_id": "Train_Loop-test_1", "locked": true, "points": 2, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 2 point: check the results of the training process \n", "assert J_train[-1] > 0\n", "assert np.std(J_val[-10:]) <= 1e-3 # the training process should converge\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 403, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "36c844b8f2a397e04ecf34196b70c5e7", "grade": true, "grade_id": "Train_Loop-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden tests below\n", "# 1 point: further tests for the training/validation results\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "9355fea4e3327f217dcc560b627f4b45", "grade": false, "grade_id": "cell-ae74de811a5efbf3", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Here the `plot_training_curve()` is implemented to visualize the training process." ] }, { "cell_type": "code", "execution_count": 404, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "e941543fb317c6e6ab1bb993981ecc55", "grade": false, "grade_id": "cell-aa589a16c8ac5082", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# defining plot training curve function\n", "\n", "def plot_training_curve(MAE_train, MAE_val, epochs):\n", " \"\"\"Plot the mean absolute error for training/validation process\"\"\"\n", " fig, ax = plt.subplots(figsize=(7.5, 5))\n", " ax.plot(np.arange(epochs), MAE_train, label='Training')\n", " ax.plot(np.arange(epochs), MAE_val, label='Validation')\n", " ax.set_ylim([0,1])\n", " ax.set_ylabel(\"Mean Absolute Error\")\n", " ax.set_xlabel(\"Epochs\")\n", " ax.set_title(\"Mean Absolute Error vs Epochs\")\n", " ax.legend(loc='upper right')\n", " plt.show()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 405, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "c4cd8decf149a9d059ae418d1e9ed2e4", "grade": false, "grade_id": "cell-0026215054ab185f", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# plotting the training curve\n", "\n", "plot_training_curve(J_train, J_val, epochs)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "fac69e30ebd8318f8117572f59e786b7", "grade": false, "grade_id": "cell-8f5ede23cbae5e06", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "**Question:** You may have noticed that we have implemented the `mean_square_error()` function but seemed to never use it in the training process. Please think about the reason and write it down here.\n", "Hint: double check the deduce process of the Gradient Descent." ] }, { "cell_type": "code", "execution_count": 406, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "ac1b53746a1706bcdb0ea3e865de7809", "grade": false, "grade_id": "mse_question-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 9: answer the question. (1 point in total)\n", "\n", "your_answer = \"The weight_update_function uses the derivative of the mean_square_error to calculate the direction in which to change Omega to minimize mean_square_error. \"" ] }, { "cell_type": "code", "execution_count": 407, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "8d07b9f2b307b30217aa34ec7ed61b52", "grade": true, "grade_id": "mse_question-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point for the answer\n", "assert type(your_answer) == str\n", "assert len(your_answer) > 1\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "8743b24d2e9f9e65372b94b56895060d", "grade": false, "grade_id": "cell-d1d5ee5a2c54fcc1", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "### Accuracy\n", "Now, with the optimized weight vector, let's implement `prediction()` to get the predicted class labels from our linear model. You may need `numpy.dot()` for the computation, and `numpy.round()` to round up the results into integers (because our class labels are integer 0, 1, 2)." ] }, { "cell_type": "code", "execution_count": 408, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "5eceb017fb0214adee675c2b4e6ef068", "grade": false, "grade_id": "Prediction-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 10: implement prediction function. (1 point in total)\n", "\n", "def prediction(x, omegaT):\n", " \"\"\"\n", " Return predicted labels.\n", " \n", " Args:\n", " x (numpy.ndarray): the feature matrix (n data points, m features). Shape (n, m)\n", " omegaT (numpy.ndarray): optimized weight vector (transposed). Shape (m, 1) \n", " \n", " Returns:\n", " y_pred (numpy.ndarray): predicted labels. Shape (n, 1)\n", " \"\"\"\n", " y_pred = None # please update this in your solution\n", "\n", " y_pred = np.round(np.dot(omegaT.T, x.T).T)\n", " \n", " return y_pred" ] }, { "cell_type": "code", "execution_count": 409, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "ab04419dd5a21637f835867df6200641", "grade": true, "grade_id": "Prediction-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point\n", "y_pred = prediction(x_test, omegaT)\n", "assert y_pred.shape == y_test.shape\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "c0465f052984e9216af847df8e9828f3", "grade": false, "grade_id": "cell-3ff8c071f6a86c8b", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Please implement `accuracy()` that calculates the prediction accuracy.\n", "\n", "Hint: prediction accuracy is computed by counting the number of predictions that match the real values, and then devide by the number of total instances." ] }, { "cell_type": "code", "execution_count": 410, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "40674abd9703c38870dca237d4687eab", "grade": false, "grade_id": "Accuracy_function-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 11: implement accuracy function. (1 point in total)\n", "\n", "def accuracy(y_pred, y):\n", " \"\"\"\n", " Compute the accuracy of prediction.\n", " \n", " Args:\n", " y_pred (numpy.ndarray): the predicted class labels for n data points. Shape (n, 1)\n", " y (numpy.ndarray): the real class labels. Shape (n, 1)\n", " \n", " Returns:\n", " acc (numpy.float64 or float): calculated accuracy in float.\n", " \"\"\"\n", " acc = None\n", " \n", " acc = np.sum(y_pred == y)/y.shape[0]\n", " \n", " return acc" ] }, { "cell_type": "code", "execution_count": 411, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "cf73524abdbb1e157715c8448f42a24b", "grade": false, "grade_id": "cell-3d2fa7c768675f74", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.7575757575757576\n" ] } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# printing accuracy\n", "\n", "acc = accuracy(y_pred, y_test)\n", "print(acc)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 412, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "f393e6ee564eda293ee59f324c2e1469", "grade": true, "grade_id": "Accuracy-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "assert type(acc) == np.float64 or type(acc) == float\n", "\n", "# Hidden test below\n", "# 1 point: test the output value of the accuracy() function\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "d15e614e5edbcc62828dd7b5e67d3c3a", "grade": false, "grade_id": "cell-cfd646f9a9655148", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "### Visualize predictions vs ground truth\n", "For the last step, let's visualize how well our model has performed. We are using a tool called confusion_matrix. \n", "This method is useful to know how many of the classes were correctly and incorrectly identified.\n", "You can read more about it here : https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html" ] }, { "cell_type": "code", "execution_count": 413, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "1bd010c5a6c193d58c69a8c43506ef99", "grade": false, "grade_id": "cell-4ca6efae9ec60ea4", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# visualizing a confusion matrix\n", "\n", "from sklearn.metrics import confusion_matrix\n", "\n", "# Compute confusion matrix\n", "cm = confusion_matrix(y_test, y_pred)\n", "\n", "# Plot confusion matrix\n", "plt.figure(figsize=(4, 3))\n", "sns.heatmap(cm, annot=True, fmt='d', cbar=False)\n", "plt.xlabel('Predicted labels')\n", "plt.ylabel('True labels')\n", "plt.title('Confusion Matrix')\n", "plt.show()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "93532f6cfd9a1d38172666b4f8019ebf", "grade": false, "grade_id": "cell-165d84e42ab77f0d", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Please feel free to play around with the model and training process. You may adjust the learning rate and number of epochs to see how the training curve changes (do not forget to re-initialize the weight vector). You may also try different train-validation split ratio to see the effect.\n", "\n", "You may notice that the training results differ a lot with different hyperparameters (learning rate, omega initialization, etc.). This is one limitation of such simple ML model. Later in this semester, you will see and implement more sophisticated ML algorithms that can make more stable and accurate predictions." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "57df673e2adadf4953cdcd1ddf25e2b1", "grade": false, "grade_id": "cell-ce0cc5e7e806dce1", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "In the second part of this tutorial, we will be working with the famous \"iris\" dataset. It contains the characteristics of several different flowers of the iris type, along with the specific iris species.\n", "\n", "\"drawing\"" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "28746d6c2e44b1f4af8c15eb64e4157c", "grade": false, "grade_id": "cell-926be4a613646f05", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Overfitting & Ridge regression" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "e4bfaab51f18576179118d2d09207796", "grade": false, "grade_id": "cell-59d2a351bd90a39f", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "When finishing the first part of the tutorial, you may (and may not, depending on the training set setup) sometimes observe the gap between the training curve and validation curve (validation error higher than training error) that cannot be diminished by increasing the number of epochs. This phenomenon is known as \"overfitting\". It happens when the model gets too complex so that it fits the training set perfectly, but loses the generalization ability towards unseen data from validation/test set." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "996e6b5356f8b6814e54af52c2529397", "grade": false, "grade_id": "cell-0f409bfd47dc63d7", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Ridge regression, also known as L2 regularization, is a useful technique to restrict our model from getting too complicated and reduce the effect of overfitting. It works by simply adding a penalty term to the cost function. In our case, the penalty term is $||\\Omega||_2^2$ (the square of the $L^2$ norm). It prefers lower absolute values of weights thus reduces the model complexity. For more information, please refer to [here](https://developers.google.com/machine-learning/crash-course/regularization-for-simplicity/l2-regularization)." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "c6908c3a40f6c0de328f46015d6aeac3", "grade": false, "grade_id": "cell-a2fef35e4cc07408", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "By introducting the penalty term, our cost function becomes:\n", "\\begin{align}\n", "MSE = \\frac{1}{2}(\\frac{1}{n}\\sum^n_{i=1}(\\text{y_pred}_i - \\text{y_real}_i)^2 + \\lambda ||\\Omega^T||_2^2)\n", "\\end{align}\n", "$\\lambda$ is the coefficient to adjust the regularization effect." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "cf4b9a1c20b9b313a394deb6271a14ce", "grade": false, "grade_id": "cell-6e8209261b08ce72", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "While the mean absolute error calculation stays the same, the weight update function becomes:\n", "\\begin{align}\n", "\\Omega^T = \\Omega^T - \\alpha \\frac{\\partial MSE}{\\partial \\Omega^T} = \\Omega^T - \\alpha(\\frac{1}{n} \\sum^n_{i=0}(x_i \\Omega^T - \\text{y_real}_i) x_i + \\lambda \\Omega^T) \n", "\\end{align}\n", "Now, please implement the new cost function `mean_square_error_ridge()` and `weight_update_function_ridge()` with the penalty term. You may use `mean_square_error()` and `weight_update_function()` that are implemented earlier as references. You may also need `np.square` and `np.sqrt` to calculate square and square root." ] }, { "cell_type": "code", "execution_count": 414, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "0f4f163720956bfa333dbfc657bdd5ad", "grade": false, "grade_id": "cell-1ad0659ce6b32811", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "load:\n", "\tshape: (150, 5)\n", "\tcolumns: ['sepal_length' 'sepal_width' 'petal_length' 'petal_width' 'species']\n", "\n", "convert_to_categorical:\n", "\tshape: (150, 5)\n", "\tcolumns: ['sepal_length' 'sepal_width' 'petal_length' 'petal_width' 'species']\n", "\n", "add_class_labels:\n", "\tshape: (150, 6)\n", "\tcolumns: ['sepal_length' 'sepal_width' 'petal_length' 'petal_width' 'species'\n", " 'class']\n" ] } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "url = 'https://bwsyncandshare.kit.edu/s/Bj7dBNAAErNY9ei/download'\n", "response: str = requests.get(url).content.decode('utf-8')\n", "with open('iris.csv', 'w') as file:\n", " file.write(response)\n", " \n", "# reading dataframe and preprocessing it\n", "\n", "df = pd.DataFrame()\n", "df = (\n", " df.pipe(load, 'iris.csv')\n", " .pipe(convert_to_categorical, 'species')\n", " .pipe(add_class_labels, 'species')\n", ")\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "49853da303f55b1aec2c31954d356602", "grade": false, "grade_id": "cell-1655a28bcfdeb408", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Separate features from the target\n", "\n", "As we did for the first dataset, let's extract feature matrix `X` and label matrix `Y` from the new dataframe `df`. Please implement the `split_X_Y` function again, note that this time the function returns feature `X` as a $150 \\times 4$ numpy array, as well as label `Y` as a $150 \\times 1$ numpy array. `X` should contain values from column \"sepal_length\", \"sepal_width\", \"petal_length\" and \"petal_width\" (**Again, make sure to follow this order for grading purpose or use the variable `numeric_columns`**). `Y` should be the value of column \"class\". You may use methods such as `.reshape()` to reshape an array, and attributes like `.values` to access values in columns of the data frame." ] }, { "cell_type": "code", "execution_count": 415, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "0788cbfadde0205e1c4413a25ff736c1", "grade": false, "grade_id": "Train_Test_Split_2-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 12: Implement split_X_Y. (2 points in total)\n", "\n", "numeric_columns = [\"sepal_length\", \"sepal_width\", \"petal_length\", \"petal_width\"]\n", "def split_X_Y(df):\n", " \"\"\"\n", " split the dataframe into feature matrix X and label matrix Y\n", " \n", " Args:\n", " df (pandas.DataFrame): shape (333, 6)\n", " \n", " Returns:\n", " X (numpy.ndarray): array containing values of 4 features of the dataframe. Shape (333, 4) \n", " Y (numpy.ndarray): array containing target value in the column \"class\". Shape (333, 1)\n", " \"\"\"\n", " X = None # please update this in your solution\n", " Y = None # please update this in your solution\n", " \n", " X = df[numeric_columns].values\n", " Y = df[\"class\"].values.reshape((150,1))\n", " \n", " return X, Y\n", "\n", "\n", "# feature/target split\n", "X, Y = split_X_Y(df)" ] }, { "cell_type": "code", "execution_count": 416, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "40b81b45cd95ff240f1f4a2be0457f52", "grade": true, "grade_id": "Train_Test_Split_2-test_1", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point for correct shape of X and Y\n", "assert X.shape == (150, 4)\n", "assert Y.shape == (150, 1)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 417, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "f95cb187fb579fe47e80e5419ab52146", "grade": true, "grade_id": "Train_Test_Split_2-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden test below\n", "# 2 points: values in X and Y are checked\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "9f1efc85ee19d7c0de6d45d30e9dfbe1", "grade": false, "grade_id": "cell-1c7ef432ec22cac3", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Plot the data\n", "\n", "Similarly to the above dataset, we quickly plot the data contained in our new dataset 'iris', this time using a \"Pairplot\", which displays pairwise relationships in a dataset (you probably have already seen it in lecture slides). Pairplot can be implemented easily with the [seaborn](https://seaborn.pydata.org/generated/seaborn.pairplot.html?highlight=pairplot#seaborn.pairplot) library. Here we used it to show the pairwise relationships among iris features." ] }, { "cell_type": "code", "execution_count": 418, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "d8786a4a6068f690fb48772e9d4e0224", "grade": false, "grade_id": "cell-5c78c93b67fbd272", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# visualizing pairplots\n", "\n", "sns.pairplot(df.loc[:,:'species'], hue= 'species')\n", "plt.show()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "ead4867d8f17cc0013e407a14dbc258d", "grade": false, "grade_id": "cell-1392c1ad4497bd90", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "**Question**: out of these combinations of features, which pair has the strongest linear correlation relationship?\n", "\n", "**1.** sepal_length and petal_width \n", "\n", "**2.** sepal_width and petal_length \n", "\n", "**3.** sepal_width and petal_length \n", "\n", "**4.** sepal_length and sepal_width\n", "\n", "**5.** petal_length and petal_width \n", "\n", "(To learn more about the linear correlation, please refer to [here](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient))\n", "\n", "Assign the number of your choice to the variable `B`:" ] }, { "cell_type": "code", "execution_count": 419, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "83588778202b4d825e6ec64d5bce62b0", "grade": false, "grade_id": "Correlation_Plot-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 13: select the correct choice. (1 point in total)\n", "\n", "B = 5\n", "\n", "\"\"\"\n", "from sklearn.preprocessing import normalize\n", "xx = normalize(X,axis=0,norm='l1')\n", "t = np.sum(np.expand_dims(xx,axis=2)*np.expand_dims(xx,axis=1), axis=0)\n", "display(t)\n", "np.argmax(t)\n", "\"\"\"\n", "None" ] }, { "cell_type": "code", "execution_count": 420, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "69458185ce223fa3a927a2398e72fb50", "grade": true, "grade_id": "Correlation_Plot-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "assert type(B) == int # Please make sure your input is an int.\n", "\n", "# Hidden test below\n", "# 1 point for correct answer\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 451, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "5d2e049c28a567991edaec545d9430dc", "grade": false, "grade_id": "Ridge_function-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 14: implement L2 regularization. (2 points in total)\n", "\n", "def mean_square_error_ridge(x, y, omegaT, lam):\n", " \"\"\"\n", " return the mean suqared error.\n", " \n", " Args:\n", " x (numpy.ndarray): numpy array of features (n data points, m features). Shape (n, m)\n", " y (numpy.ndarray): numpy array of corresponding targets. Shape (n, 1)\n", " omegaT (numpy.ndarray): weight vector (transposed). shape (m, 1)\n", " lam (float): ridge regression coefficient.\n", " \n", " Returns:\n", " mse (numpy.float64 or float): mean squared error.\n", " \"\"\"\n", " mse = None # please update this in your solution\n", " mse = 0.5*np.sum((np.dot(omegaT.T, x.T) - y.T)**2)/y.shape[0] + lam*0.5*np.dot(omegaT.T, omegaT)\n", " \n", " return mse" ] }, { "cell_type": "code", "execution_count": 452, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "511ac04243ed6fa720369bd73b9be6fb", "grade": true, "grade_id": "Ridge_function-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point: check the output value\n", "a = np.array([[1.0, 2.0], [2.0, 2.0]])\n", "b = np.array([[1.0], [2.0]])\n", "w = np.array([[1.0, 1.0]]).T\n", "assert np.round(mean_square_error_ridge(a, b, w, 0.1), 1) == 2.1\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 463, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "94b9a89f91bf418522f8a1a480d025e6", "grade": false, "grade_id": "Ridge_update_function-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "def weight_update_function_ridge(x, y, omegaT, alpha, lam):\n", " \"\"\"\n", " return updated set of weights\n", " \n", " Args:\n", " x (numpy.ndarray): numpy array of features (n data points, m features). Shape (n, m)\n", " y (numpy.ndarray): numpy array of corresponding classes. Shape (n, 1)\n", " omegaT (numpy.ndarray): weight vector (transposed). Shape (m, 1)\n", " alpha (float): learning rate.\n", " lam (float): ridge regression coefficient.\n", " \n", " Returns:\n", " omega_updated (numpy.ndarray): the updated weight vector (transposed). Shape (m, 1)\n", " \"\"\"\n", " omega_updated = None # please update this in your solution\n", " \n", " #print(np.sum((np.expand_dims(np.sum(omegaT.T* x, axis=1), axis=1) - y)*x, axis=0).shape, omegaT.shape)\n", " \n", " omega_updated = omegaT - np.expand_dims(alpha/y.shape[0] * np.sum((np.dot(omegaT.T, x.T) - y.T)*x.T + alpha*lam*omegaT, axis=1), axis=1)\n", " omega_updated = omegaT - np.expand_dims(alpha/y.shape[0] * np.sum((np.expand_dims(np.sum(omegaT.T* x, axis=1), axis=1) - y)*x, axis=0), axis=1) - alpha*lam*omegaT\n", " \n", " #print(np.sum((np.dot(omegaT.T, x.T) - y.T)*x.T, axis=1).shape, omegaT.shape)\n", " #print(omegaT.shape, omega_updated.shape)\n", " \n", " return omega_updated" ] }, { "cell_type": "code", "execution_count": 464, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "feb712f502586a6f603867a328caa7c1", "grade": true, "grade_id": "Ridge_update_function-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point: check the output value\n", "assert abs(np.mean(weight_update_function_ridge(a, b, w, 0.001, 0.1)) - 0.99) <= 0.01\n", "assert w.shape == weight_update_function_ridge(a, b, w, 0.001, 0.1).shape\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "228944becea614c63a4c7c5a6d4551e2", "grade": false, "grade_id": "cell-32d88540dd3063f2", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Now, let's look at a very unbalanced training set. In this example, only 25 instances are used as training set ($17\\%$), and the number of class 0 is significantly higher than both class 1 and 2." ] }, { "cell_type": "code", "execution_count": 465, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "584aedad3eee189f943ccafe9b274f26", "grade": false, "grade_id": "cell-3dd78c224b6c1053", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# reading pickle variable \n", "\n", "import pickle\n", "with open('iris_overfit', 'rb') as f:\n", " x_train, x_val, y_train, y_val = pickle.load(f)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 466, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "d1b6e6d8093725362e582b8af48c9a81", "grade": false, "grade_id": "cell-6031fda3455940be", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# plotting class distribution of training set\n", "\n", "fig, ax = plt.subplots()\n", "ax.scatter(np.arange(0, len(y_train), 1), y_train)\n", "plt.yticks(np.arange(0, 3, 1))\n", "ax.set_xlabel(\"data index\")\n", "ax.set_ylabel(\"class label\")\n", "ax.set_title(\"Class distribution of training set\")\n", "plt.show()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "09963cd951855227a5e7c42432197740", "grade": false, "grade_id": "cell-cdee0339af40f024", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "For the training, let's do the normal linear regression and ridge regression side by side, with `J_train`, `J_val` recording linear regression training/validation MAE, and `J_train_ridge`, `J_val_ridge` recording ridge regression MAE. Please implement them in the same `for` loop." ] }, { "cell_type": "code", "execution_count": 467, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "45dd0b3524bff4f031bc32399c8e62a1", "grade": false, "grade_id": "cell-683b12756b7864fc", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# initializing parameters\n", "\n", "np.random.seed(0)\n", "omegaT = np.random.randn(5,1)\n", "epochs = 3000 # number of updates to the weight\n", "alpha = 0.0005 # learning rate\n", "lam = 0.5 # coefficient of L2 penalty\n", "J_train = np.zeros(epochs) # record MAE of training process (without L2 penalty)\n", "J_val = np.zeros(epochs) # record MAE of validation process (without L2 penalty)\n", "J_train_ridge = np.zeros(epochs) # record MAE of training process (with L2 penalty)\n", "J_val_ridge = np.zeros(epochs) # record MAE of validation process (with L2 penalty)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 478, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "2cbaa771d6ff144d7b7c773c6dce681f", "grade": false, "grade_id": "Train_Loop_Ridge-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 15: implement training process with L2 regularization. (3 points in total)\n", "\n", "omega_norm = np.copy(omegaT) # weight vector for training without L2 penalty\n", "omega_ridge = np.copy(omegaT) # weight vector for ridge regression\n", "\n", "for i in range(epochs):\n", " # for each epoch, record the mae for training and validation process without using ridge regression\n", " # use the weight_update_function to update the omega_norm\n", " J_val[i] = None # please update this in your solution\n", " J_train[i] = None # please update this in your solution\n", "\n", " omega_norm = weight_update_function(x_train, y_train, omega_norm, alpha)\n", "\n", " J_val[i] = mean_absolute_error(x_val, y_val, omega_norm) # please update this in your solution\n", " J_train[i] = mean_absolute_error(x_train, y_train, omega_norm) # please update this in your solution\n", " \n", " \n", " # Now, let's try to optimize omega using ridge regression\n", " # use the weight_update_function_ridge to update the omega_ridge\n", " J_val_ridge[i] = None # please update this in your solution\n", " J_train_ridge[i] = None # please update this in your solution\n", "\n", " omega_ridge = weight_update_function_ridge(x_train, y_train, omega_ridge, alpha, lam)\n", "\n", " J_val_ridge[i] = mean_absolute_error(x_val, y_val, omega_ridge) # please update this in your solution\n", " J_train_ridge[i] = mean_absolute_error(x_train, y_train, omega_ridge) # please update this in your solution\n", "\n", "\"\"\"\n", "plt.loglog(np.arange(epochs), J_val, label='Validation')\n", "plt.loglog(np.arange(epochs), J_val_ridge, label='Validation_Ridge')\n", "plt.loglog(np.arange(epochs), J_train, label='Training')\n", "plt.loglog(np.arange(epochs), J_train_ridge, label='Training_Ridge')\n", "plt.legend()\n", "plt.show()\n", "\"\"\"\n", "None" ] }, { "cell_type": "code", "execution_count": 479, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "af678bb3c62b3e741c7e21b95262f235", "grade": true, "grade_id": "Train_Loop_Ridge-test_1", "locked": true, "points": 2, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 2 point: check the results of the training process\n", "assert J_train_ridge[-1] > 0\n", "assert np.std(J_val_ridge[-10:]) <= 1e-3 # the model should converge after training\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 480, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "d6b45c5a65a271a06b1b94c5914d8500", "grade": true, "grade_id": "Train_Loop_Ridge-test_2", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden test below\n", "# 1 point: further tests of the training results\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "6b13bdefa45e339152180be31a55445b", "grade": false, "grade_id": "cell-edcd9970ea4609f4", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Now we plot the training curves again, but this time on a log-log scale to better see the differences:" ] }, { "cell_type": "code", "execution_count": 481, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "49496c9cb43fc7c888522ee9a0db598b", "grade": false, "grade_id": "cell-df4ab96b4f364192", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# defining function\n", "\n", "def plot_training_curve_ridge(MAE_train, MAE_val, MAE_train_ridge, MAE_val_ridge, epochs):\n", " \"\"\"Plot the mean absolute error for training/validation process\"\"\"\n", " fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n", " ax[0].loglog(np.arange(epochs), MAE_train, label='Training')\n", " ax[0].loglog(np.arange(epochs), MAE_val, label='Validation')\n", " ax[0].set_ylabel(\"Mean Absolute Error\")\n", " ax[0].set_xlabel(\"Epochs\")\n", " ax[0].set_title(\"Without L2 Regularization\")\n", " ax[0].legend(loc='upper right')\n", " \n", " ax[1].loglog(np.arange(epochs), MAE_train_ridge, label='Training')\n", " ax[1].loglog(np.arange(epochs), MAE_val_ridge, label='Validation')\n", " ax[1].set_ylabel(\"Mean Absolute Error\")\n", " ax[1].set_xlabel(\"Epochs\")\n", " ax[1].set_title(\"With L2 Regularization\")\n", " ax[1].legend(loc='upper right')\n", " plt.show()\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 482, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "1f6312d504d4133117d1806221ae8d7b", "grade": false, "grade_id": "cell-c92bf80d33f8ea7a", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# plotting results\n", "\n", "plot_training_curve_ridge(J_train, J_val, J_train_ridge, J_val_ridge, epochs)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 484, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "8db9ffb4c29d235bad4351bca6bec7ce", "grade": false, "grade_id": "Add_bias_term_to_X2-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.8066666666666666\n", "0.94\n" ] } ], "source": [ "# Task 16: as you did in the first part, stack to X a new column with value 1 (using np.hstack for example).\n", "# (2 points in total)\n", "\n", "# Update feature matrix X with x0 = 1\n", "X = np.hstack((np.ones((X.shape[0],1)), X))\n", "\n", "Y_pred = prediction(X, omega_norm)\n", "Y_pred_ridge = prediction(X, omega_ridge)\n", "acc = accuracy(Y_pred, Y)\n", "acc_ridge = accuracy(Y_pred_ridge, Y)\n", "print(acc)\n", "print(acc_ridge)" ] }, { "cell_type": "code", "execution_count": 485, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "4bcb2e37f45df0912f86107ac115fad8", "grade": true, "grade_id": "Add_bias_term_to_X2-test", "locked": true, "points": 1, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# 1 point for correct shape of X after stacking\n", "\n", "# now the shape of x_train should change from (150, 4) to (150, 5)\n", "assert X.shape == (150, 5) \n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 487, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "128aa8da527aaa6a723bd4513d66987e", "grade": false, "grade_id": "cell-7e1fb0a56e056490", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# plotting class distribution labels\n", "\n", "def plot_predict_vs_real(Y_pred, Y, title='plot'):\n", " \"\"\"Plot the predictions vs ground truch\"\"\"\n", " fig, ax = plt.subplots(figsize=(7.5, 5))\n", " ax.scatter(np.arange(1, 151, 1), Y_pred, label='Predictions')\n", " ax.plot(np.arange(1, 151, 1), Y, label='Ground Truch', color='red')\n", " ax.set_title(title)\n", " ax.legend(loc=\"upper left\")\n", " plt.yticks(np.arange(0, 3, 1))\n", " plt.show()\n", "\n", "plot_predict_vs_real(Y_pred, Y, title='without ridge regression')\n", "plot_predict_vs_real(Y_pred_ridge, Y, title='with ridge regression')\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "da6badb3722e34bf4e12dc1d1b4f15af", "grade": false, "grade_id": "cell-11f395039356b11f", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "**Yes or No question:** from the plots/accuracy calculations, do you think the ridge regression improved the learning performance?" ] }, { "cell_type": "code", "execution_count": 488, "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "ad313d77598841cc16c88851eed178f4", "grade": false, "grade_id": "Ridge_question-answer", "locked": false, "schema_version": 3, "solution": true, "task": false } }, "outputs": [], "source": [ "# Task 17: answer the question. (2 points in total)\n", "\n", "Answer = True" ] }, { "cell_type": "code", "execution_count": 489, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "ba589b571a9d6d98a8318e29d776882a", "grade": true, "grade_id": "Ridge_question-test", "locked": true, "points": 2, "schema_version": 3, "solution": false, "task": false } }, "outputs": [], "source": [ "##### DO NOT CHANGE #####\n", "\n", "# Hidden test below\n", "# 1 point for your answer\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "5055c03f08fd98b5f02ae7aab78e47f8", "grade": false, "grade_id": "cell-298117388b266b67", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "## Scipy Optimize" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "b141a348b99cf04f7a35c352bda7d553", "grade": false, "grade_id": "cell-1e16607a3299687d", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Rather than handcraft the Gradient Descent algorithm, there are libraries that can do the optimization task automatically. The `minimize()` function provided by SciPy library is a good example. It takes as input the name of the function that needs to be minimized, the initial point where the search starts and (optionally) the name of a specific search algorithm. It returns a `OptimizeResult` object that contains details of the optimization result. Below is an example of using `minimize()` function to optimize our linear model." ] }, { "cell_type": "code", "execution_count": 490, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "234a1c0ac602243a035116a78ac444ba", "grade": false, "grade_id": "cell-b966200b0f75b9a8", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH\n", " success: True\n", " status: 0\n", " fun: 0.023192544205894634\n", " x: [ 1.921e-01 -1.097e-01 -4.424e-02 2.270e-01 6.099e-01]\n", " nit: 13\n", " jac: [-9.542e-06 -5.756e-05 -2.825e-05 -4.076e-05 -1.358e-05]\n", " nfev: 102\n", " njev: 17\n", " hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>\n" ] } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "from scipy.optimize import minimize\n", "\n", "np.random.seed(0)\n", "omega = np.random.randn(1,5)\n", "\n", "def mean_square_error(omega):\n", " return (1/(2*len(X)) * np.sum((np.dot(X, omega.reshape(1,5).T) - Y) ** 2 ))\n", "\n", "\n", "res = minimize(mean_square_error, omega.flatten(), method='L-BFGS-B')\n", "print(res)\n", "omega_op = np.array(res.x).reshape(5,1)\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 491, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "89a3a76e8ed6dd7853fc48dd7a3f97a8", "grade": false, "grade_id": "cell-b9c9a62fa3458c5a", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "text/plain": [ "0.9733333333333334" ] }, "execution_count": 491, "metadata": {}, "output_type": "execute_result" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "Y_pred = prediction(X, omega_op)\n", "acc = accuracy(Y_pred, Y)\n", "acc\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "code", "execution_count": 492, "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "code", "checksum": "da90ed7f603088289285a7b47d62cd77", "grade": false, "grade_id": "cell-a26f29b335992eb4", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##### DO NOT CHANGE #####\n", "\n", "plot_predict_vs_real(Y_pred, Y, 'final class distribution')\n", "\n", "##### DO NOT CHANGE #####" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "02ec63fee222f86896d40a010e15a67f", "grade": false, "grade_id": "cell-11e0b1c3d98cf009", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "You can find a good tutorial of SciPy optimization [here](https://machinelearningmastery.com/function-optimization-with-scipy/). \n", "\n", "If you have more questions, please refer to the SciPy [documentation](https://docs.scipy.org/doc/scipy/reference/optimize.html).\n", "\n", "For the introduction of the \"L-BFGS-B\" search algorithm using here, please read [this](http://sepwww.stanford.edu/data/media/public/docs/sep117/antoine1/paper_html/node6.html).\n", "\n", "***If you want to play around with this library, please do this in a separate notebook that is not submitted!***" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false, "nbgrader": { "cell_type": "markdown", "checksum": "080ee7ded5103ae39977e143e7202939", "grade": false, "grade_id": "cell-4c22e42798de2a83", "locked": true, "schema_version": 3, "solution": false, "task": false } }, "source": [ "Thank you very much for participating the exercise! I hope you find it helpful to understand math basics in machine learning!\n", "\n", "Please let us know if you have any thought/comment/suggestion to this exercise by taking the exercise evaluation. Your feedback is valuable to us and is highly appreciated!" ] } ], "metadata": { "jupytext": { "formats": "ipynb,py:light" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.19" } }, "nbformat": 4, "nbformat_minor": 4 }