diff --git a/0_python/0_Introduction.ipynb b/0_python/0_Introduction.ipynb deleted file mode 100644 index 0ab4bb4..0000000 --- a/0_python/0_Introduction.ipynb +++ /dev/null @@ -1,171 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All the IPython Notebooks in this lecture series are available at https://github.com/rajathkumarmp/Python-Lectures" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Python-Lectures" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Introduction" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Installation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .\n", - "\n", - "To install IPython run,\n", - "\n", - " $ pip install ipython[all]\n", - " \n", - "This will install all the necessary dependencies for the notebook, qtconsole, tests etc." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Installation from unofficial distributions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Anaconda" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Download Anaconda from https://www.continuum.io/downloads\n", - "\n", - "Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Canopy" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Download Canopy from https://store.enthought.com/downloads/#default\n", - "\n", - "Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Launching IPython Notebook" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "From the terminal\n", - "\n", - " ipython notebook\n", - "\n", - "In Canopy and Anaconda, Open the respective terminals and execute the above." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## How to learn from this resource?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures\n", - "\n", - "Launch ipython notebook from the folder which contains the notebooks. Open each one of them\n", - "\n", - " Cell > All Output > Clear\n", - " \n", - "This will clear all the outputs and now you can understand each statement and learn interactively." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## License" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.5.2" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/0_python/README.md b/0_python/README.md index 76fc6fc..2c09acb 100644 --- a/0_python/README.md +++ b/0_python/README.md @@ -32,4 +32,4 @@ Python 是一门上手简单、功能强大、通用型的脚本编程语言。P * [廖雪峰的Python教程](https://www.liaoxuefeng.com/wiki/1016959663602400) * [智能系统实验室入门教程-Python](https://gitee.com/pi-lab/SummerCamp/tree/master/python) * [Python tips](../tips/python) - +* [Get Started with Python](Python.pdf) diff --git a/4_logistic_regression/Least_squares.ipynb b/4_logistic_regression/Least_squares.ipynb index 2ac2386..42bbd81 100644 --- a/4_logistic_regression/Least_squares.ipynb +++ b/4_logistic_regression/Least_squares.ipynb @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -114,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -189,7 +189,7 @@ "\n", "对于某一个损失函数\n", "$$\n", - "L = \\sum_{i=1}^{N} (y_i - a x_i + b)^2\n", + "L = \\sum_{i=1}^{N} (y_i - a x_i - b)^2\n", "$$\n", "\n", "我们更新的策略是：\n", @@ -220,7 +220,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -785,13 +785,7 @@ "epoch 555: loss = 1817309.016104, a = 637.063922, b = 152.718655\n", "epoch 556: loss = 1816920.228294, a = 637.686530, b = 152.718258\n", "epoch 557: loss = 1816532.991028, a = 638.307893, b = 152.717861\n", - "epoch 558: loss = 1816147.298117, a = 638.928013, b = 152.717465\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 558: loss = 1816147.298117, a = 638.928013, b = 152.717465\n", "epoch 559: loss = 1815763.143396, a = 639.546894, b = 152.717070\n", "epoch 560: loss = 1815380.520724, a = 640.164537, b = 152.716675\n", "epoch 561: loss = 1814999.423987, a = 640.780944, b = 152.716281\n", @@ -1192,7 +1186,13 @@ "epoch 956: loss = 1739434.277612, a = 808.891453, b = 152.608910\n", "epoch 957: loss = 1739355.854363, a = 809.170463, b = 152.608732\n", "epoch 958: loss = 1739277.743190, a = 809.448915, b = 152.608554\n", - "epoch 959: loss = 1739199.942847, a = 809.726810, b = 152.608376\n", + "epoch 959: loss = 1739199.942847, a = 809.726810, b = 152.608376\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 960: loss = 1739122.452096, a = 810.004149, b = 152.608199\n", "epoch 961: loss = 1739045.269701, a = 810.280934, b = 152.608022\n", "epoch 962: loss = 1738968.394433, a = 810.557165, b = 152.607846\n", @@ -1433,7 +1433,13 @@ "epoch 1197: loss = 1727262.359044, a = 862.289047, b = 152.574805\n", "epoch 1198: loss = 1727232.327005, a = 862.461279, b = 152.574695\n", "epoch 1199: loss = 1727202.414181, a = 862.633167, b = 152.574585\n", - "epoch 1200: loss = 1727172.620097, a = 862.804711, b = 152.574476\n", + "epoch 1200: loss = 1727172.620097, a = 862.804711, b = 152.574476\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 1201: loss = 1727142.944280, a = 862.975912, b = 152.574366\n", "epoch 1202: loss = 1727113.386259, a = 863.146771, b = 152.574257\n", "epoch 1203: loss = 1727083.945566, a = 863.317288, b = 152.574148\n", @@ -1528,13 +1534,7 @@ "epoch 1292: loss = 1724881.512064, a = 877.204436, b = 152.565278\n", "epoch 1293: loss = 1724860.925351, a = 877.346842, b = 152.565188\n", "epoch 1294: loss = 1724840.420250, a = 877.488964, b = 152.565097\n", - "epoch 1295: loss = 1724819.996436, a = 877.630802, b = 152.565006\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 1295: loss = 1724819.996436, a = 877.630802, b = 152.565006\n", "epoch 1296: loss = 1724799.653585, a = 877.772356, b = 152.564916\n", "epoch 1297: loss = 1724779.391376, a = 877.913626, b = 152.564826\n", "epoch 1298: loss = 1724759.209486, a = 878.054615, b = 152.564735\n", @@ -1697,7 +1697,13 @@ "epoch 1455: loss = 1722405.759587, a = 897.030088, b = 152.552616\n", "epoch 1456: loss = 1722394.975336, a = 897.132850, b = 152.552550\n", "epoch 1457: loss = 1722384.233710, a = 897.235407, b = 152.552485\n", - "epoch 1458: loss = 1722373.534540, a = 897.337758, b = 152.552419\n", + "epoch 1458: loss = 1722373.534540, a = 897.337758, b = 152.552419\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 1459: loss = 1722362.877657, a = 897.439904, b = 152.552354\n", "epoch 1460: loss = 1722352.262894, a = 897.541846, b = 152.552289\n", "epoch 1461: loss = 1722341.690083, a = 897.643585, b = 152.552224\n", @@ -2205,13 +2211,7 @@ "epoch 1963: loss = 1720036.246549, a = 929.830235, b = 152.531667\n", "epoch 1964: loss = 1720034.782046, a = 929.867408, b = 152.531643\n", "epoch 1965: loss = 1720033.323226, a = 929.904506, b = 152.531619\n", - "epoch 1966: loss = 1720031.870069, a = 929.941529, b = 152.531596\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 1966: loss = 1720031.870069, a = 929.941529, b = 152.531596\n", "epoch 1967: loss = 1720030.422552, a = 929.978479, b = 152.531572\n", "epoch 1968: loss = 1720028.980651, a = 930.015355, b = 152.531548\n", "epoch 1969: loss = 1720027.544347, a = 930.052157, b = 152.531525\n", @@ -2495,7 +2495,13 @@ "epoch 2247: loss = 1719783.365139, a = 937.890737, b = 152.526518\n", "epoch 2248: loss = 1719782.874794, a = 937.911791, b = 152.526505\n", "epoch 2249: loss = 1719782.386313, a = 937.932803, b = 152.526492\n", - "epoch 2250: loss = 1719781.899690, a = 937.953773, b = 152.526478\n", + "epoch 2250: loss = 1719781.899690, a = 937.953773, b = 152.526478\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2251: loss = 1719781.414916, a = 937.974701, b = 152.526465\n", "epoch 2252: loss = 1719780.931986, a = 937.995587, b = 152.526451\n", "epoch 2253: loss = 1719780.450892, a = 938.016431, b = 152.526438\n", @@ -2702,7 +2708,13 @@ "epoch 2454: loss = 1719712.865738, a = 941.462375, b = 152.524237\n", "epoch 2455: loss = 1719712.641027, a = 941.476287, b = 152.524228\n", "epoch 2456: loss = 1719712.417151, a = 941.490171, b = 152.524219\n", - "epoch 2457: loss = 1719712.194107, a = 941.504027, b = 152.524211\n", + "epoch 2457: loss = 1719712.194107, a = 941.504027, b = 152.524211\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2458: loss = 1719711.971892, a = 941.517856, b = 152.524202\n", "epoch 2459: loss = 1719711.750502, a = 941.531657, b = 152.524193\n", "epoch 2460: loss = 1719711.529935, a = 941.545430, b = 152.524184\n", @@ -2710,13 +2722,7 @@ "epoch 2462: loss = 1719711.091257, a = 941.572894, b = 152.524167\n", "epoch 2463: loss = 1719710.873139, a = 941.586585, b = 152.524158\n", "epoch 2464: loss = 1719710.655831, a = 941.600249, b = 152.524149\n", - "epoch 2465: loss = 1719710.439329, a = 941.613885, b = 152.524140\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 2465: loss = 1719710.439329, a = 941.613885, b = 152.524140\n", "epoch 2466: loss = 1719710.223632, a = 941.627494, b = 152.524132\n", "epoch 2467: loss = 1719710.008735, a = 941.641075, b = 152.524123\n", "epoch 2468: loss = 1719709.794636, a = 941.654630, b = 152.524114\n", @@ -3207,7 +3213,13 @@ "epoch 2953: loss = 1719661.135884, a = 945.857112, b = 152.521430\n", "epoch 2954: loss = 1719661.098120, a = 945.862236, b = 152.521427\n", "epoch 2955: loss = 1719661.060484, a = 945.867350, b = 152.521424\n", - "epoch 2956: loss = 1719661.022975, a = 945.872453, b = 152.521420\n", + "epoch 2956: loss = 1719661.022975, a = 945.872453, b = 152.521420\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2957: loss = 1719660.985594, a = 945.877546, b = 152.521417\n", "epoch 2958: loss = 1719660.948338, a = 945.882629, b = 152.521414\n", "epoch 2959: loss = 1719660.911209, a = 945.887702, b = 152.521411\n", @@ -3216,13 +3228,7 @@ "epoch 2962: loss = 1719660.800573, a = 945.902860, b = 152.521401\n", "epoch 2963: loss = 1719660.763943, a = 945.907892, b = 152.521398\n", "epoch 2964: loss = 1719660.727437, a = 945.912915, b = 152.521395\n", - "epoch 2965: loss = 1719660.691055, a = 945.917927, b = 152.521391\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 2965: loss = 1719660.691055, a = 945.917927, b = 152.521391\n", "epoch 2966: loss = 1719660.654795, a = 945.922929, b = 152.521388\n", "epoch 2967: loss = 1719660.618658, a = 945.927922, b = 152.521385\n", "epoch 2968: loss = 1719660.582642, a = 945.932904, b = 152.521382\n", @@ -3307,7 +3313,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -4093,7 +4099,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -4172,10 +4178,22 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": {}, "outputs": [ { + "name": "stderr", + "output_type": "stream", + "text": [ + "Traceback (most recent call last):\n", + " File \"/home/bushuhui/.virtualenv/dl/lib/python3.5/site-packages/matplotlib/cbook/__init__.py\", line 215, in process\n", + " func(*args, **kwargs)\n", + " File \"/home/bushuhui/.virtualenv/dl/lib/python3.5/site-packages/matplotlib/animation.py\", line 1462, in _stop\n", + " self.event_source.remove_callback(self._loop_delay)\n", + "AttributeError: 'NoneType' object has no attribute 'remove_callback'\n" + ] + }, + { "data": { "image/png": "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\n", "text/plain": [ @@ -4189,6 +4207,8 @@ } ], "source": [ + "%matplotlib inline\n", + "\n", "t = np.array([2, 4, 6, 8])\n", "#t = np.linspace(0, 10)\n", "\n", @@ -4229,7 +4249,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -4287,7 +4307,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -4296,7 +4316,7 @@ "array([800., 90., -20.])" ] }, - "execution_count": 6, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -4331,7 +4351,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": { "lines_to_next_cell": 0 }, @@ -4359,7 +4379,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvqOYd8AAAIABJREFUeJzsnXt4FOX1xz/vhg0kYgkCCgQQ6g1FMFGgIFAFKqgopqJQL1V/VbHWqlgLBEohIkqUKkq9It5FDQpEFLyDWqgUuQQUAREFIYBcA0JCskne3x+zs9nLzOzs7mx2k7yf5+EhmZ2ZfWc2e+a85z3ne4SUEoVCoVDUX1yJHoBCoVAo4osy9AqFQlHPUYZeoVAo6jnK0CsUCkU9Rxl6hUKhqOcoQ69QKBT1HGXoFQqFop6jDL1CoVDUc5ShVygUinpOo0QPAKBly5ayY8eOiR6GQqFQ1ClWrVq1T0rZKtx+SWHoO3bsyMqVKxM9DIVCoahTCCG22dlPhW4UCoWinqMMvUKhUNRzwhp6IUQTIcQKIcRaIcR6IcR93u0vCSF+FEIUef9lebcLIcQMIcT3Qoh1Qohz430RCoVCoTDHToy+HBggpTwihHADS4UQ73tfGy2lfDto/0uA07z/fgM87f0/IjweDzt27ODYsWORHqowoEmTJrRr1w63253ooSgUilomrKGXmmD9Ee+vbu8/KxH7K4BXvMctF0JkCCHaSCl3RTKwHTt2cPzxx9OxY0eEEJEcqghCSsn+/fvZsWMHnTp1SvRwFApFLWMrRi+ESBFCFAF7gI+llP/zvvSANzwzXQjR2LstE9jud/gO77aIOHbsGC1atFBG3gGEELRo0ULNjhSKKClcU0yf/MV0yl1In/zFFK4pTvSQIsKWoZdSVkkps4B2QE8hxNnAOKAz0AM4ARgbyRsLIUYKIVYKIVbu3bvXbJ9ITqmwQN1LhSI6CtcUM27e1xSXlCGB4pIyxs37uk4Z+4iybqSUJcAS4GIp5S6pUQ68CPT07lYMtPc7rJ13W/C5Zkopu0spu7dqFTbfX6FQKBLCtA83UeapCthW5qli2oebEjSiyLGTddNKCJHh/TkNuAjYKIRo490mgBzgG+8hC4AbvNk3vYBDkcbn6yMdO3Zk3759Me+jUNRnkjFEsrOkLKLtyYidrJs2wMtCiBS0B8McKeV7QojFQohWgACKgD97918EXAp8D5QC/+f8sBUKRX1DD5Ho3rMeIgHIyY54mc8x2makUWxg1NtmpCVgNNER1qOXUq6TUmZLKbtJKc+WUk72bh8gpezq3Xa9lPKId7uUUt4hpTzF+3qd1TbYunUrnTt35qabbuL000/nuuuu45NPPqFPnz6cdtpprFixggMHDpCTk0O3bt3o1asX69atA2D//v0MGjSILl26cMstt6AlIWm89tpr9OzZk6ysLG677TaqqqrMhqBQNBiSNUQyevAZpLlTAraluVMYPfiMBI0ocpJC6yYso0ZBUZGz58zKgsceC7vb999/z1tvvcULL7xAjx49eP3111m6dCkLFizgwQcfpH379mRnZ1NYWMjixYu54YYbKCoq4r777qNv375MnDiRhQsX8vzzzwOwYcMGCgoKWLZsGW63m7/85S/Mnj2bG264wdnrUygSQOGaYqZ9uImdJWW0zUhj9OAzbHvjyRoi0ccf7XUlA3XD0CeQTp060bVrVwC6dOnCwIEDEULQtWtXtm7dyrZt25g7dy4AAwYMYP/+/Rw+fJgvvviCefPmATBkyBCaN28OwKeffsqqVavo0aMHAGVlZZx44okJuDKFwlliDb0kc4gkJzuzThn2YOqGobfheceLxo0b+352uVy+310uF5WVlRFXmkopufHGG5k6daqj41QoEo1V6MWOkRw9+IyABwXUvRBJsqJEzWKkX79+zJ49G4DPPvuMli1b8qtf/Yrf/va3vP766wC8//77HDx4EICBAwfy9ttvs2fPHgAOHDjAtm22lEYVigCSLUMl1tBLTnYmU6/sSmZGGgLIzEhj6pVd67QnnSzUDY8+icnLy+NPf/oT3bp1Iz09nZdffhmASZMmcc0119ClSxfOP/98OnToAMBZZ53FlClTGDRoENXV1bjdbp588klOPvnkRF6Goo6RjBkqToRe6nqIJFkR/tkgiaJ79+4yuPHIhg0bOPPMMxM0ovqJuqf1hz75iw2NamZGGstyByRgRKEPH9BCL8orjx9CiFVSyu7h9lMevUJRB0nGDJX6kJ1SX1GGXqGogyRrhooKvSQnajFWoaiD1IciHkXtoTx6haIOosIkikhQhl6hqKMkKkwSS/WrIjEoQ69QKGyTjGmdivCoGL0JJSUlPPXUU1Ede+mll1JSUhL1ezdt2tTy9VjGpnCOZCtYqg2SVXhMYY0y9CZYGdPKykrLYxctWkRGRkY8hgUoQ58M1IeuQ9GQjGmdivDUG0PvtHeVm5vLli1byMrKYvTo0Xz22Wf069ePoUOHctZZZwGQk5PDeeedR5cuXZg5c6bvWL2ByNatWznzzDO59dZb6dKlC4MGDaKsLPQL8eOPP9K7d2+6du3KhAkTfNuPHDnCwIEDOffcc+natSvvvPOO4djM9lPEj4bq2ZqlbyY6rVNhTb0w9PHwrvLz8znllFMoKipi2rRpAKxevZrHH3+c7777DoAXXniBVatWsXLlSmbMmMH+/ftDzrN582buuOMO1q9fT0ZGhk/p0p+7776b22+/na+//po2bdr4tjdp0oT58+ezevVqlixZwr333ouUMmRsZvsp4kdD9WxVWqcNpIR334WCgkSPxEe9WIyNVTXPLj179qRTp06+32fMmMH8+fMB2L59O5s3b6ZFixYBx3Tq1ImsrCwAzjvvPLZu3Rpy3mXLlvkeAH/84x8ZO1brsy6lZPz48XzxxRe4XC6Ki4v5+eefQ443269169aOXHe8SbYsDjvjsVuwlGzXxro58OlkOLQDmrWDgROh23Dbh6u0zjAsWwZjx2r/9+kDw4eDEIkeVf0w9LXlXR133HG+nz/77DM++eQTvvzyS9LT07nwwgs5duxYyDH+MscpKSmGoRsAYfDHMHv2bPbu3cuqVatwu9107NjR8D3s7peMJFsWh93x2JHUTbZrY90cePcu8Hj/Bg9t136HiI29MuxBfPstjBsHCxZA69bwzDPwpz8lhZGHehK6iUfc8Pjjj+eXX34xff3QoUM0b96c9PR0Nm7cyPLly6N+rz59+vDmm28C+CSP9fc48cQTcbvdLFmyxCdnHDw2s/3qAskW67Y7HjuSusl2bXw6ucbI63jKtO1JRp3JaNq+HW6+Gbp2hc8+gylT4Pvv4bbbIMJeFfGkXnj08WhY0KJFC/r06cPZZ5/NJZdcwpAhQwJev/jii3nmmWc488wzOeOMM+jVq1fU7/X4449z7bXX8tBDD3HFFVf4tl933XVcfvnldO3ale7du9O5c2fDsY0dO9Zwv7pAssW6IxlPOM82Ga7NP3S0pckOY8/u0I5aG48dkm4mZMSBA5CfDzNmaDH5u++G8eOhZctEj8yQeiNTnHSx0CQkGWWKk01u18nxJPragg3m0tS7aOfaF7pjs/ZwzzdxH49dEn3fLCkr04x7fj4cOgR//CNMngwJ6idhV6a4XoRuQHvSL8sdwI/5Q1iWO0AZ+TpCbWVx2A0FODme0YPPwJ0SGKN1p4hay1AJDh09XDmcUpkauJM7TVuQTSKSYSYUQmUlzJoFp50GubnaQmtREbz8csKMfCSENfRCiCZCiBVCiLVCiPVCiPu82zsJIf4nhPheCFEghEj1bm/s/f177+sd43sJirpMbbSPiyT91vHxBE+Ya3ECHWwYF1T3JddzCzuqWwJC8+QvnxHRQmxtkFS5+lLC/PlaDP7WW6F9e/j8c3jvPejWrfbHEyV2YvTlwAAp5REhhBtYKoR4H/gbMF1K+aYQ4hngZuBp7/8HpZSnCiH+ADwEjIjT+BX1gHhncUSafuvUeKZ9uAlPdaBl91RLx9N+zTBKAV1Q3ZdV6RclPgRiQdI0Cf/iCy1VcvlyOOMMmDcPcnKSJpMmEsJ69FLjiPdXt/efBAYAb3u3vwzkeH++wvs73tcHCqPcQYUiAmLJwkhUKCDRIYi6WtyU8CbhX38Nl10GF1wAP/0Ezz0H33wDv/99nTTyYDPrRgiRAqwCTgWeBLYAJVJKXfRlB6B/CpnAdgApZaUQ4hDQAjBYBVIowhNrFoZZcZNEW/iL18J9ortA1eXipoTk6m/bBhMnwquvwq9+pS243nknpKfX7jjigC1DL6WsArKEEBnAfCDm/D0hxEhgJECHDh1iPZ2iHhNr5bNRKEAnnql7ToUgYskoU8VNNti3Dx58EJ58UvPY//53bcH1hBMSPTLHiCjrRkpZAiwBegMZQgj9QdEO0OfSxUB7AO/rzYAQERgp5UwpZXcpZfdWrVpFOfz4EatC5GOPPUZpaWnY/T777DMuu+wyy32KiopYtGhR1GOp68QaAvEPBRgRlyKmdXPI+Www36b8geVN7uYK19KoQhANVSWzVjh6VDPwp5wCjz8O110HmzfDww/XKyMP9rJuWnk9eYQQacBFwAY0g3+Vd7cbAV0ycYH3d7yvL5bJkKwfIbVl6O2QbIY+mnh5LDF2J7Iw9PRbswiro3FzXWrg0HYEktbs5fHjXmTZpfsi9q6Trrq2PuDxwLPPwqmnwj/+ARdeCOvWwQsvaFk19RA7Hn0bYIkQYh3wFfCxlPI9YCzwNyHE92gx+Oe9+z8PtPBu/xuQ6/ywDVg3B6afDXkZ2v/r5sR0umApYIBp06bRo0cPunXrxqRJkwA4evQoQ4YM4ZxzzuHss8+moKCAGTNmsHPnTvr370///v1Dzv3BBx/QuXNnzj33XObNm+fbvmLFCnr37k12djbnn38+mzZtoqKigokTJ1JQUEBWVhYFBQWG+9UW0XiYsXqlTi4q1krqnoNSA4le0K1XSAlvvw1dusCf/6x58kuXwjvvaNvqMWFj9FLKdUC2wfYfgJ4G248BVzsyOrs4JNbkT35+Pt988w1FRUUAfPTRR2zevJkVK1YgpWTo0KF88cUX7N27l7Zt27Jw4ULtrQ8dolmzZjz66KMsWbKElkEl0ceOHePWW29l8eLFnHrqqYwYUZN52rlzZ/7zn//QqFEjPvnkE8aPH8/cuXOZPHkyK1eu5IknngDg8OHDhvvVBtHEy2ONsTu5qFgrqXtmkgJRSA1kpLs5WOoJ2a703yNkyRIt7r5iBZx1lmbcL7+8zmbRREq90Lqx9KAcKgb56KOP+Oijj8jO1p55R44cYfPmzfTr1497772XsWPHctlll9GvXz/L82zcuJFOnTpx2mmnAXD99df7mpYcOnSIG2+8kc2bNyOEwOMJ/YJHsl88iMbDdMIrdWpRsVYyUZq105wNo+0RULimmCPHQruZ1WZ1bZ2nqEhTlfzgA2jXDl58UZMtSEkJf2w9on4Yegc9KDOklIwbN47bbrst5LXVq1ezaNEiJkyYwMCBA5k4MbqS8n/+85/079+f+fPns3XrVi688MKY9osH0aQMJjrNMJi4Z6IMnBg4w4SopAaMCq4AjkttpDJpwvHjj/DPf8Ls2dC8OUybBnfcAWkNcyZUP7RuzDylCD0of4KlgAcPHswLL7zAkSNa7VhxcTF79uxh586dpKenc/311zN69GhWr15teLxO586d2bp1K1u2bAHgjTfe8L126NAhMjO1L/BLL71kOhaz/WqDcPFyo0XXRBXuJEzqtttwTVqgWXtikRowm/EcKqu9GVydY+9eTUlSr2TNzYUfftBSJhuokYf64tE75EH5EywFPG3aNDZs2EDv3r0BaNq0Ka+99hrff/89o0ePxuVy4Xa7efrppwEYOXIkF198MW3btmXJkiW+8zZp0oSZM2cyZMgQ0tPT6devn8+IjxkzhhtvvJEpU6YEyCL379+f/Px8srKyGDdunOl+ThAuZ9sq9GFW2DT1yq5MvbJr3MIlRmMGEit12224pWF3sotVnSfGrlcAHDkCjz4K//qXljZ5880waRJkqpkP1COZYkf+WOo54e5psKEGzfO2m/udCHlZszE3buSixMDzjcdYIi1osnufY/086gTBiRSgOWl2Z0AVFZpEweTJsGcPXHklPPAA1KGeDLFgV6a4fnj0ENaDUoQn1uyYRKQCmo3ZqAo2HmOJRp7B7n2Ox8Jx0vVtiDaRoroa3npLy4PfsgV++1stkyaGBkD1mfpj6BUxE6uhjiXUYBZ+CWeUIjXcToc9onk42rnPwfdj+oismA1yUnZuiiaR4pNPNFXJ1as1+eCFC+GSSxpMqmQ0JLWhl1IaNs1WRI6dEF2sMeFoc9SNDNDot9eCxJd1YmaUzMbcPN3NMU913KVuI3k46sbb7JPQ77OZQV657QAL1+3y5dVnpLnJG9rFtpG2/VCqzTBoJKmoq1Zpi6uffAIdOsArr8C11za4VMloSNqsmyZNmrB//35bBkphjZSS/fv306RJE8v9Ys2OiVZe1sgAeapkSGphcOl/4ZpiSitC88zT3ClMurxLrUjd2q209a8ONsL/PpsZ5NeW/xRQPFVS5mH0W2ttZxPZeSh9teBZyub91Wt8ZU3xYYyV5qYMnKjF5P0JTqTYsgWuuQa6d4c1a7RF102bGmQ+fLQkrUffrl07duzYwd69exM9lHpBkyZNaNfOOt3UiZhwNDnqkYRf9H2NFioh1Mt12rAHh1T6d27F3FXFpjMHfX8zAw/aQ8j/PkdyPyJpZBJuxla4ppgeqx4mTZQHvYmzxYcB6Oc0mkH8/DPcf7+mS5OaChMmaGmSzZo5P456TtIaerfbTadOnRI9jAZHImRtzQyQ2b5g7PUCHNc4smKiSBYnjUIqc1cVM+y8TJZs3Bs23dQIASFZQJHcD7D/YAgXWpv24Sb+Y9Y2wi9m7viCbnAixeHDWmrkI4/AsWNaC7+JE6FNm+jfo4GTtIZe0XAwMkDuFBEQo4cao1S4ptjUEEbiDUe6OGkWUlmyca9hyqbZw8ifZmnukG1G90Ng3m7W7hpKuBnbzpIydqa2pJ0wMPbemHlcF3TLyzXv/f77NY34q6+GKVPg9NNjO68ieWP0ioaDUWx/2lXnMO3qc0Ji7IDPsBgRSVZNpBLAkWYl2XnoHK2oDImxG92P63p10B5+Qbhdkene6HLNP+YPYVnugJCF7Ycrh1MqUwOOKaOxL2YeF9nk6mpNquDMM7Wq1q5dNfGxOXOUkXcI5dErkgKzkFHwtj75i029ZHeKoH/nVmTd95GvWKp5uptJlxtnpkRqoCPNSrITgvFUGcfYje5H95NP4L5310eddRMObSZRAR4Y02gObcV+dtGCneeNoYc3tOJorYSU8OGHWibN2rWQlaWJjw0apFIlHUYZekWdwsqgVFVLXl/+E9V+2w6WerRUTUIfGpEa7kjTR61aGPoTSacsJ3LpreoVMtLdfNGoP++W9TWMvzsmy/DVV1ou/JIl0KmT5tH/4Q/gUkGGeKAMvcJR4l15aeUlGwg9AuZec6SGO9KspOD9wTjObhSnjwd26hUOlnpIc6eYFmjFrOf/3XdaNevbb0OrVjBjBtx2m5ZVo4gbytArHKM2Ki/tesnBGHnN0aSTRupV+++fPfkjwyYicY1S+BU/9aIlF1VdzQL6+l72VIU+eqwqe6NOwd21C+67D2bNgiZNtKyae++F44+P7foUtlCGXuEY4SovC9cUk7dgva34uRn6vvfOWUtVBMV0ZqGFWMIhkc5eSgyMvNF2x2ZFQYJhrdlLvnsWeGBBdV/LQ63CSWb3zHDcv26qacFPn64JkN1+u5YPf9JJYYefdLo8dRhl6BUx4f9lNDO7O0vKNF36t9YGpEtaxc+t0PcdVVBka/94dGSKZvZiJ74d9azISLbAQDAsXVQwptEcFlRYG/pIY+7B49677zAbx06m/Ku3aFxyUKtsvf9+rU9rFOdLCl2eOoxa+VBETXDTbzPaZqSZdkvS4+eRkpOdSYZJbNs/FNI83c20q85x3DhEk2ZoR2IiqvRF3XMPli0w0pAB2or9vp/dKQK3KzB2FI0mkD5uV3UVV37zKYufG0nuxzNZ2/LXmkbN66/bNvL+5/Mn5jTOBozy6BVRY6cgSDca91h439FKB+cN7ZIwvfZo0gztxLejSl80k/oVKSBDP589oiUCIlIJDcfOg6X0/2ElYz97ic77trGu9amMveRu/tsxix/PPTeic0FiJK/rM8rQ1zLxiDtGe85Yx2L1pfM3JDnZmZZ6L9FKB9dKo28Tok0zDLcmYHZelxB0yl1ofI1mkr6yShMIC2rq0fryB/mxW2Bnspju2fLlzHvrH2T/uI6tGW24Y+hYFnXugxQuMqP8bBtMd61aImzoRgjRXgixRAjxrRBivRDibu/2PCFEsRCiyPvvUr9jxgkhvhdCbBJCDI7nBdQlgkMdetwxll6m0Z7TibGYfekyM9JCKi9HDz4jJEQAscfPrSo940m8+uAanRegSkrzz8m0Z3J7R3rXmrJxo9bRqXdvzjy8i8kX38HvbnmahWf2QwpXTPcjUX2G6yt2YvSVwL1SyrOAXsAdQoizvK9Nl1Jmef8tAvC+9gegC3Ax8JQQQmmJEp+4Y7TndGIskXwZc7IzmXb1OQFxdT1+DiSmiXcMRCvJHOl5UwxyL0M+Jyup327D4Z5vIK9E+98JI19crAmNdemiacNPnkyTrT/Q7cFxnNTieEfuR7zub0MlbOhGSrkL2OX9+RchxAbA6m5fAbwppSwHfhRCfA/0BL50YLx1mnjEHaM9pxNjCQ6dNEtzIwTcU1DEtA83GTYWD/6ixpJd4WQYLJpzxUvp0/+8nXIXGu4T8DlZSf06ycGD8NBD8PjjUFUFd96pFT+1auUdd1NH70cilFTrKxHF6IUQHYFs4H9AH+CvQogbgJVoXv9BtIfAcr/DdmDwYBBCjARGAnTo0CGKodc94hF3jPacTo1F/zJGYrD9japLiJB8eDt9ao3eb1RBEXkL1kes/2J0rnsKihhVUBSiFe8EkTxUbH9O8eyZXFYGTzwBU6dCSQlcd53WjFvJiNcZbKdXCiGaAnOBUVLKw8DTwClAFprH/0gkbyylnCml7C6l7N7K6xHUd+IRd4z2nE6PxW4oKHhtwKzoKdzMwizjp6TMY7nWULimOCRMZHQufVROrKMEv38kayMJjVVXVcGLL2oKkmPGaI2316yBV19VRr6OYcvQCyHcaEZ+tpRyHoCU8mcpZZWUshp4Di08A1AMtPc7vJ13W4MnHnHHaM/p9FjshoLspGSCxcxi3RyYfjb/Kfs9S1PvYqhracguZmsNZkY2nMKkk/nbZg/EvAXrDfdPSKxaSpY/9iI/tj0F/vQn1tOUpTPnwKJFcM458XvfeoKRM5FowoZuhNad+3lgg5TyUb/tbbzxe4DfA994f14AvC6EeBRoC5wGrHB01HWYeMQdoz1nRKXsYc5vN8RgZw3A1GP1K+l3CWgn9pmW9Bu9j5mRTTEIHwXjVP622UOlpMxD4ZpiU32ZWotVL13K/jv/Rq+ir9hyQiZ/zhnHB6efT9pPjZhqMj5FDcla0WvHo+8D/BEYEJRK+bAQ4mshxDqgP3APgJRyPTAH+Bb4ALhDSoOqDUVSEm3apd0Qg5mnniJEeI/VoqQ/GKP3MTPWVVIapjTaGXekGGXR6CS06nP9ehg6FPr1Q275gXGD/8rgPz3JB2f0ASFUVapNkrWi107WzVK0+pdgFlkc8wDwQAzjUiSIcMJkZtgtXjKTubUVjjApDPIv6dfPZzQjMJt16AuuelFXcNs+J2PiVjOHhFR9bt+uKUm+/DI0bQoPPki/fadT5m7iyPgamjBZslb0qspYRQCx/KHaCTHEVM3arJ2hfstO2cL3swCGnWc8DrOHTP/OrXzjycxIo3/nVobNvp0g00JPv1arPg8c0LJo/v1vrdPTqFEwfjy0aMEJ+YsdychK1jBGPEnWil5l6BUB1MYfqp0Hgu4JFpeU+WLoNzUdxoSUZ2hUdcy3X6lM5eHKmrRCCSzZuNf0fSHwIdO/cyvmrioOMEZzVxXHbcFz9OAzGP322hAd+Eh7v0ZNaanW7CM/Hw4fhhtu0HTiTz45YIwxNRfxEu3ssC7j1L1zGmXoFQGMHnxGiJxwrRkhL8GeoB7ueOlIT46kVjL5uLmkl+1mR3ULHq4cHrAQO9S1lDGlcyBvv2HhUPBDxqgHrZUxijUUoe/rWO9XI3lio3z6ykotVTIvD3buhMsugwcf1Bpxm4wxZqGzWgpjJFN4KJH6S1YoQ68IJXhFppb7NFulYL5dcT5fpg9kWd4ARgSFGIa6lpLvnkW6qNA26HK9YFpMFIkxcioU4VgWTVBjEcPrlRLmz9fCMps2Qe/e8Oab0K9f3MdYG7PDZAwPJWNFr9KjVwQw7cNNIWGFSDXjrfKI7eQY25VvCM70GdNoTo2R9w2+TPN4TTAzOkbb7WRU1GoOtZk8sX69n3+uGfZhw7Sm2/Pnw7JlYY28U9RGsVeyZrkkG8qjVwQQ63TbysMCbHlfVg3A9df9j/FNk137jQ8wk/ElsphquHtT696l2XV9tw2GDNEKnDIztT6tN94IjWr3614bYYxkzXJJNpShVwQQ63Q7nIdlJx5u1QA82AgHTJOnG2flmMr4EpkxCndvan3xMTgLqaQalpTD1x5o9l9NgOzOOyEtcRkf8Q5jJGuWS7KhQjeKAGKdblt5WHa9L/+yf6gpMtKLqcBE1thArrcypQl5R4dZhlLsatqHuze17l3q11taDR8cgyeOwLceuHEo/PCDpk+TQCNfGyjdensoj14RQKzT7XAell3vy0qewTw8EijXW5rWmolHh/F2RU+DfaOTjADze1Pr3uUpQ2D3PJj1FpRXQ88MuP9BuOj2+LxfEpKsWS7JhpBhND5qg+7du8uVK1cmehgKBwg2xFBT+QpEXxXrpY9JMU9mRhrLcgfY2jdFCKqldLyVo1lVreM5+R4PPP+8lv++ezfk5MADD8BZZ4U/VlGvEEKsklJ2D7ef8ugVhsSSm9zE7fIZc6Mc8Vj625ot0hqFR6y0bcDCw7ebm04fbxdoAAAgAElEQVTog02Cz9jHomXvf//1hi4lRyu4bsdX5C59laY//Qh9+8LcuXD++RGfX9GwUIZeEUK02SNG3nx5ZXXAPtEszhmdNxij8Ei47B0wWCy1k5vuh5mWvdEMwy7B11tS5qH3trWM/fwlsnZtZnOrk9n32Ev0vusGsBBJUyh0lKFXhBAuc8bMIzc77t45a7mnoCjqUEk4DXuzxTer7B1/Ajx/q9x0A0PvRDpq8P30v94uP29hzOcvc8GPqyk+vhX3XnoP87tcSJuypixTRl5hE2XoFSGYGSndszfz9KMOlUQ5HrAOjwQv1Bm1LYSg2YBZbrqZcmYUC7BmMX3/+9u+ZDf3/udVcr79nINNjuf+/jfz2rlDKG+UCqg8cUVkKEPvIMmkuRHLeMyMV4pXl9wf/9BHVKESG1jJC4cLj/iHiswWigNmAyYKmWa5+JGKWBnF9P1JL9lP7pcFXLPmfapcKTzZ62qe/c0wDjdpGrCfyhNXRILKo3eIaBt2JON4+nc27uEbrr+rUU6z1f52CT7vUNdSljW+i6XHroTpZ2txdRvYastnkIuPO03bHu05/TALQx1XXsrdS1/n85m3ct3qhcw/5yIuGDmTaRfcGGLkVZ64IlKUR+8QySbJGst4zGR+zVrumUkS2AqVmBA8Gxl2XiZLNu6l++GPyU99njTKtR1tCJf5E3YxuFtgLn64rBtb5/Qj+CHnrvJwTdEH3PnfAlqVlrDo9PN59bKRjLj+d7g/3ITwz7op9STFTFFR91CG3iGSTXPD7H27H/4Ypt9lacTCtdyzClNEHCoxwCjrx6cR/9ldcKg88ACLxVKr9zANa3UbHtG5IkEPQwlZzWUb/sPf//MqJ5fsZnn7s7l12D/ZdPJZvhmBMuYKp1CG3iESqblhZLSMxjPUtZT81OdrDKWJN2y35V5KUC/RYMMUbdWi5WzkWGSLpUYkUtp29OAzePdfL3PPpy9w9s9b2NCqIzddlcdnvz6PzObpTFXeuiIOKEPvEInqLGNmtIadlxnQOQlgrHtOTchDx8AbtroW3QjZNZTReKaWs6OTIhcuCyZhYbaVK8nJzSXn00/Z2bw191x2L1/1vpi/X3ImLynjrogjajHWISJdlHMKM6O1ZOPekPEEN9H2EeQNh7uWeGuAW2rER7hYakSth9m+/x7+8Afo0QOKiuCxx2i7ayvT3/0XS8f/TnnwirgT1qMXQrQHXgFOQssGmymlfFwIcQJQAHQEtgLDpZQHhRACeBy4FCgFbpJSro7P8JOLRMRVrYxWyHgikPG1uhY7MgSxpJpazo66edMpI1gs9adwTbGji8SW17V7N9x/P8ycCamp8M9/wt//Dr/6la2xKhROYSd0UwncK6VcLYQ4HlglhPgYuAn4VEqZL4TIBXKBscAlwGnef78Bnvb+r4gQO0bFLJ7uEoLCNcWhqYP+5f1oMr5Tjg7j5dyFtgxy4ZriEOEu/7Ho+9gN7Vhdo9F2bf+W7Cx5SNt+4RnkdLP3ANHHZWTko10kNryuw4fhX/+CRx+F8nIYOVIz8q1b2xpnbZJstR+K+BDW0EspdwG7vD//IoTYAGQCVwAXend7GfgMzdBfAbwiNVnM5UKIDCFEG+95FDaxa1TMyvyrpAzdPyh18KD7RPKODuOdavsyvtM+3GRo5KEm/37ah5u4qOpzxqTOoa3Yx07ZkocrhzPtw9SA84a7RqOHQiyLqFZSCmaLyv6G0GgmEBDbLy+HZ56BKVNg3z4YPlz7+bTTwo4tESRjv1VFfIgoRi+E6AhkA/8DTvIz3rvRQjugPQT84wM7vNsUEWA3Dq7H01MMdE8M4+bdhsM931B4xXrO/WU671T3DX+MH1Zx7Df+t53CNcVarrt7Fu1c+3AJaOfaR757lpbaGcU1htv/vnfX2+rTGi4GH1xUFlx0ZlYwtuvgUXjtNejcGUaNgnPOga++goKCpDXyoPqtNiRsZ90IIZoCc4FRUsrDws+wSCmlECIiYXshxEhgJECHDh0iObRBEMmCYU52JvcUFEV0HivP3MogWskc6LOIT1PnkE5gk+50UcG41LcoXPNXn4cc6fubbT9Y6uFgqQcI7VHrH5bISHf79jPD30MPJ6aGlFz4wyr+sexV2LUFsrO1ePxFF1m+R7KQbLUfivhhy6MXQrjRjPxsKeU87+afhRBtvK+3AfZ4txcD7f0Ob+fdFoCUcqaUsruUsnurVsYl9w0Zy8wTB7aHM+ZmjB58BlaaiWWeKlpjnN1zEvsCPORI399uTUKZp4q8BetDJCCOHKvEnRJe8VG/N1b36Jydm3jjzfG89HYebVMq4Y03YOXKOmPkIfb7rKg7hDX03iya54ENUspH/V5aANzo/flG4B2/7TcIjV7AIRWfj5xIe2FGur/Zl1l4z2VGTnYm1/XqYGnsd1a3MNz+My3DSgZHeo1mlJR5Qt7LUy05LrWRL23UKNwFNffG6B79ev8Onpr/IO+8ei+n7dvO2jH3c9yW77T0SVfN16lwTbGtcFIiUf1WGw52PPo+wB+BAUKIIu+/S4F84CIhxGbgd97fARYBPwDfA88Bf3F+2PWfSPPyjRpq62EIIyNj9CUXwHW9OoRdiJuS05XrepmH22alXm+Y6z614mrL86YIwbDzzHvF6qEU/2bhGWluy3MGc6jM42sE/sjwcywNnf89OvGX/Tz4wRN89Pxf+O3WNUzvcy0XjpzJOQ9N0FIng8aaTAJ3ZiSq9kNR+9jJulkKpg7cQIP9JXBHjONquPi1sctp1o6cS+3niEdStRpLU+XCNcXMXWVstNLcKWQNGQkpXUJy3VcuagkW4ZAqKZm7qpjuJ59gmZ2ja+7oBtko576J22UYj/f30sPdg5zsTBr9cpifcvP4v6/eIaW6ilfPHcITvUew/7gM30M1mGQTuLNCaeo0DJQEQjIRYRs7IyIxMtF+yc0WKVOE8PMIQ4XBRleFbwloNFara9L16IONNRg/AILDEqb34NgxeOopLnvgAThwgHe7XMjDfa9ne0Zr03PpqEVORbKhDH0yYbONnVWRSyTNs6PF7FzVUlqGXfRG103cLkpKPbazbsIZTqsHVsQzlqoqLVVy4kT46ScYPBimTqWKE6n2ygaHO5dZdk9GuhZmUkVKitpGGfpkwkYbO6siFyBs1aoTRKLUadToOs2dwvQRWT4VzHDniVYZNJIZS+HqHSx7/GVuXvQcnfdt4+BZ59D80xdhgDZjyMF+EZFJuj1SqiIlRWJQomaJYN0crTNSXkZghyQzBUa/7VZhDLPc+HCZNJFilq3Rv3OrkEwTq/GaZdEcLa8MWLiMJjskkqyXz19aQLucS5j2ygQaV1XwlytyOf/3UylsHt09O1RmnKt/qMyjipQUCUF59LWNQRy+8p07mbJgPQdLLw/sngQhyozRxH8lznqLOdmZZG5/j/arp3Gi3Mse0YovOtzOpFWEeKpm8XhddA3gvnfXB4Q6Sso8hlIIdsMdtr3mDRtg/HguKCxk73EZ/GPQXyjoNojKlEZQWU3egvWO9txtm5EW1/i9CgkpzFAefW1jEIdvVHWMWype453qvoytuJli2RKJgGbt4fIZIU1BjGibkWb6mp4d4lhu97o59Ph6Eq3Zi0tAa/Zy2bZ8Lqr6PGA3/1RIo/GCZnjTU0P9jWAvNyc705cWuSx3gKUBC+s179gBt9wCZ58Nn37Kv/r9kd+OnMXs7Es1I++lpMwTVYqk1QwkXkVKdSWlU5EYlKGvbUzi8LpW/ILqvvQpn0HfJvM0TZqqPgHGuX/nViHVne4UwejBZ1gaGEcNgcHDKl1UMKZRaJNuPRXSaEw6MXm5fmGw0oc6kzdlkumC9JHde2HsWE1/5tVX4a674IcfmH/pTZSlNgn7VnZDLFb56f07twrJVXaiSEmFhBRWqNBNbdPMWBN+pwysJt1ZUmYYgihYsT1UXMv7q1WIo0/+Yudyu8M8rPzxbz9oFlKIug1jUBgsvWwXY+RTHHBVsMBPrK2xp5ybVr/LHcvfhvKjcP31MHkydOwImCuAGmE3xGKmvjl3VXHAOooA0yKxSFApnQorlKGvbQw04UtlKg9XBuact81IM/TSPNWhy62eaukz2GaZJo4aApsPK30ROFz2i7+hHepayphGc2gr9nNMtIZ1Fk2/LWYWCyr6klJdxbCvP+WepbNpc2Q/u/sO4FdPTodu3QKOMXpAllZUGqZI3th0BUwfizy0g59pydSKq1n5q4ui7oUrgSUb91oeZ4dE9ixWJD/K0Nc2QZrwpWmtmXh0GAuqz/ftok/lzRQpjbAy2LF2VQph4ETK5v01YNHY6GFldxFY36do4UzGeGaRLjTly/SyXaYFY4Vrihl6aIdh7LEt+7ho83LGfP4yp+3fzvr2Z/L99Gfod8tV2oJl/uKQ2UXwwyh4NgVwVep/mSBnwaFjCLS1ianuWeQehnHzKgKuBQiocqZZO7ofvpxiAmWhwRmvO1E9ixV1AxWjTwReTXjySkgfu5G+v/+LYTw3EiNstm8sXZVMF2+7Deebc++nWLakWgp2VLck13NLQLgEMJUIMCInO5O84+b6jLwPvWDM4JoMxdO2VeJ5sZzn5k3BJSXjrr+PLtvW+4y83XUKozj75OPm0qjqWMB++gwiJB6uh5UObQckHNpOfurzDHUtDXkvJ7xupVujsEJIs+qOWqR79+5y5cqViR6GIziZ4mbkVbpdAgR4qmo+tzR3iumXuk/+YsMpfYoQXPOb9izZuNdwrEbvHfw++rUWl5SFFGpZjcmUvAyMy70E5JWEXNNQ11Ly3d4ZwJ4q+LQcvqukpGlT8vvcxHvnXcyUq7J8LQjvnbPW8IGXmZHmk1KIZnzVUvDr8tkI4Mf8IdrG6WcbhreKZUv6lM/w/R7VfVIovAghVkkpu4fbT4VuHMTpqkezxVWjbYbnXzeHgtJxtG1c085P97p1ATGzsUaimSPQyvul1IqCon7AmcT+gwvJ9FDHguq+NN93iDHLXiV97VFkYxeLLxrAnV3/wgmtmjPFr8+s2azG/3wQ5kEdZm0iwDO3WLDO9ObTq1x3RW2hDL2DxEO10GwhM+z5vKGDdi7NiLUTWjs/PJqB1GWMzcZqlqKobw9+qB0srZE2iNpwGSxUBxeMgWZQj+76mb98+RY3rn4PgJk9r2T+4D/yweQcNgSdNlynqHBNzVduO8CSjXvpfji0oE1fmwgJg5k8FESzdiy7x8bsQaFwEGXoHSSpUtwsMlI+lhdYVqyCFtox8oD1Aiir/q1Rh66CFqp1eeOAhdjSUmYWf0yH52aQXnGMuWcP4LG+13KwRRum/r6r5TUZ4W+gza5p9vKftJg+fZEVMNatZQX9TEumeq5m1a8uYqrf7GHah5sMHwpGDy2FojZQht5BkirFzSx04NrP1Cu6mgqKNfM28jALc+jbI+3fGpGxN0qnrKyEF16AvDy67NrFrgsGcXv2CJY1Pom2GWk+Q2uE2ecSKKtsfk3+d2JBdV8WlPf1xfUf93vNf0agPxTGNJpDpms/wuihpVDUEsrQO4idFLda0yMxCR24mrXzvd/ot9aG5OUfrdAExTJNjKOeSWPVJNyfmBtuSAnz5sE//gGbNsH558OcObTp25fXbJ7C7HMJXgS1e01g/FAInhEsqO7Lgoq+CGD6FVnkdFOxeEViUOmVDhIuxa1W9UgGTgxp51dGY+7eezl98hcD0LRJ6HPeUyVNlSX95RSOllfaHkrUoavPPoNeveCqqyAlBd55B5Yuhb6huehW2E09NGuvaITRLM1qRqCkCBSJRHn0MWDmnVs1wai1FnN+8W55aAc7ZQse8nizbiJQlrTTuSkcEYeu1q6FcePg/fehXTstZHPDDZqxjxI72vRG19y/c6uA7CQwrz+wmhEoKQJFIlGGPkqiSaUMl8niON54d1+DXHpdWdIoFu8SgsI1xYbG0Ugzx4qIqjO3boV//hNmz4aMDJg2De64A9Jqb43D6Jq7n3yCrXCbXs0c78YvCkWkKEMfJdF45+EyWeKF2YNEV5YMvo4qKU0fWpF4pi6BvWKgvXvhgQfg6afB5YIxYzSVyebNbb9XPAiesYVLHc3JzmTltgO+LB0dJUWgSDQqRh8lZgavuKTMVO89XCZLPChcU2waZ9Zj1UYPGjOJ20g807APsKNHYcoUOOUU+Pe/tfDM5s2Qn58URj6a9ZQpOV2ZPiJLSREokoqwHr0Q4gXgMmCPlPJs77Y84FZAl90bL6Vc5H1tHHAzUAXcJaX8MA7jTjhW8Vh/wwA1XnG4TJaICBLMMkvdM2svCFBaUWkaaoCah1lwc293igiRYABJmac64Hh/Vc3AFzwwaxbcdx/8/DP8/veaR3/mmb5dEt0tKZb1FDvrAYm+PkXDwo5H/xJwscH26VLKLO8/3cifBfwB6OI95ikhRPQraEmMWb9Tf4K94mh6nxpiIJjFu3fV9J71wyrUcrDUY2rkQZM1yLrvI0YVFPk825IyD0honu4O8FiPBRl5w/evroY5c+Css+Avf4HTT4f//ldLnwwy8qPfXhvgTY9+e21cspPMhNvi3fJPdYNS1CZhDb2U8gvggM3zXQG8KaUsl1L+CHwP9IxhfElLcMqeGf6GwTGFQYOqVyOVR4htEfBgqUcz7EF4qiXpqY0C2vqFbZH36afwm9/AiBHa4up778Hnn0Pv3iHH3Pfu+oAZA2hpn/e9uz7qazHCyuDGq+UfqG5QitonlsXYvwohbgBWAvdKKQ8CmcByv312eLfVS/yn6GYqkcGGwc60PiwmVa8c2u5VTawJ54we3CfidEg7BHu2ZkVJU072wODB8NFH0KEDvPwyXHedZaqkUcMPq+3RYmVwRw8+I6SgzO0SjiyqJpVUhqJBEO1i7NPAKUAWsAt4JNITCCFGCiFWCiFW7t0be4edRONYWMYOQWqONYiQcE5OyrKQWUSGV+YgFoweYP7v07PqIB+tfIb+114MK1fCo49qla0x5sNHi1GIJqzBDZ6qOZQcFc/ZgkJhhC09eiFER+A9fTHW7DXvQixSyqne1z4E8qSUX1qdv77o0Ue6wBb1glxQr1SNYEV4L83aa01Ogt43Fi/fUkN9zx64/3545hlwu+Fvf4PRo6FZM8NzGd2DvAXrDUNGANf36sCUHGPxMjPMtPUbN3IZvo++OG62cB6sXR/N525HkkGhCIddPfqoDL0Qoo2Ucpf353uA30gp/yCE6AK8jhaXbwt8CpwmpbS0KHXF0Me7qUhEX/bgrBsjHXcguGlH8LVEWqzVPN3NpMu7hI7xl1/gkUe0f2VlcOutMHEihburQypN9WYnGelujhyrDAiPpLlTGHZeJgUrthv2xwVId7t48Mputu+9WVitebqbY55qw8/AKhtJgGWlsH4NZk1dILK/JZWhozDDMUMvhHgDuBBoCfwMTPL+noXmQm4FbvMz/P8A/gRUAqOklO+HG0RdMPROe2Fmxsd2t6NgTDoa7aYVy6/43HSMZuMIJiPNTd5QAwNfUQHPPqt58Xv3aro0DzwAp58e9cwh02vMRln0zI3k3nfKXWjWt4rpI7IMjaid+5LmTqGJ22W4duBIxy1qwfu3maarSE4c9ejjTV0w9E4bZivjo7eji8iTMwjnlMpUcj238HHKBaaGwWwc+lhM37e6GgoKYMIE+OEH6N9fK3TqWZNkZfchYsTW/CF0zF1ouU+KEFRLGfbeRPPZxRreMiKavxXHHQJ/jEKA7jS4fIYy9nUE1UowRoKNrNNiVeG06yPW0vF+MXfPG8+Jch87ZYua1oHV5oU+ZuMwNSRSwscfQ24urFkD55wDH3wAgwZBUCVstEZeoF2/mWSEjv5auHtjRz46GH+BM6e0iKL5W4lrho5Vmq4y9PUKJYFggFF+dSRytXbo37lVyDntdDuyyrUurOpDr2OP8+vy2fStmOHrDwvmhiGibKGvvoLf/U5Llzx4EF57DVav1n43kDuIVsNHl/W95jftbR9jdW+irV/Iyc4MWxiXkea2LW18Y9MVWogtL0P736DALZi4ZuiYpumabFfUWZRHb4CRkTXyK6NNnyxcU8zcVcUB5xTAsPNqcuwj9eT0h5MZZobBTI44wAhu3qw1/njrLWjZEh5/HG67DRo3NhyHfq5YgoI7S8p82TWz//cTdiKMVl5utPULVv1m09wp5A3t4tvPStr4qtT/MkHOgkPHtA16NTNYes/RzEZsY7MZu6Luowy9AVYGQ19ky4wh+8HsQbJkY009QaRtCcMZpHBhCsPr2L0bJk+G52aCS8JvG8PFLeHC1qZG3k5c2z+2frS80jDFUb/OKTldmZLTNeAB4jIJ6cQjD93qb8F/VhBO2niymEujsmOBJ/CUsXveeJZX9TH9O7L1II4Wm83YFXUfZegNCCdYFutCmB1vPVJPzq5BCkfhmmKefGc1Qz+azS0r36FxdQWu7o2hbwo0dUH5TkNPtHBNMffOWRtWiTM4Y0R/OFxU9TljGs2hrdjHLlqy86wxQM099n8YmWWixKM4zWoNI5xkccDrebsN9ztR7gvbxyDY2OshqpiNvZ1m7Ip6gYrRGxAuLhvrQli4uKvuverNQSB8XLmJ2/ijDGeQ/Fnwvx/YMHYyBQ9fz51fFvDxqT3Zc3smXOzWjLxOkK6ObnitjLxZa8VpH27ioqrPyXfPop1rHy4BmWIfPb6eZBrDzsnOZNh5mb57kyJEQNjLScz+Fo6WV0YmQmYSDtkpW4Rfe4mjCFphVR/6lM+g07HZ9CmfQWFVn5jPqUg+lKE3QF+8M1tMjDVEEK4fq/6lhprmIFbT9eue+zJEIhi0D9eWl1tVBa++So+Lz2fcxzP55qRTuOzGx7hr6BhOPOGQ8TF+C3ZWYSPQDLy/ABoEGq8xjeaQLioCD/KGNYyMmb7GoT9YqqRk7qriuKg/6n8LzdMDZSNKyjyRGVuDHr6lMpWHKzXv2cp5iJcImlLRbDgoQ29CTnYmjww/Jy76NVZZIJF+qQvXFLNsi7G4qLFwsB9SwqJFcO65cMMN7GvclOuH388NI+7nm9anArBTtjQ+1s9DDbem0b9zq5Dt/tfZVuwzPFYPawQbntpWf8zJziQ9NTTKGdF7dhsOl89gN62oloId1S3J9dziy4yych7ilWKpVDQbDipGb0E8F8LMFkAj/VLnLbCW7jWN//7vf1q7vs8/1zo8vfkmt29pwY7D5QG7PVw5nIdSnyeNmu2lMpWHjw4jy9tXNtyaxtxVxXQ/+YSAMfhfz07ZknYGxt4/rGF2bMD+cVR/dOQ9uw1neVWommg45yHShXm7KBXNhoPy6MOQk53JstwBIaGHeBFJ3nThmmJT8S+dEA9t0yYYNgx69YING+DJJ+Hbb2HECP5+yZkhM5iPUy7gm3PvpzStTYAn+tKRnj5vO9yaRvAYCtcU4/ILiz1cOZxSmRpwjFVYw849MmsoYrY9HE7ls0eT0x8vZVSlotlwUB59khFJto3ZFHuoa6kvg2WnbMm0w8Oh+Aytdd8LL2iNP+67T1OWbNrUd5zZDKZH9sX0+fY0issDDa5uwPUMJKsqUv+2hMELtwuq+4IH75j3B1b1Emp4wt2jCYVfBzTo1mPPK7cdCMhvD1ttHMF7RkK4nH4j6YupV3Z1fGYZ1xx9RVKhtG6SELsaN0Y6NUNdS8l3z6pZ3Dwm8SytxL2qCqok3H67Vvx04okRjcmONg+E12Yxez1FCK75TfuQQiMzAS+ze1S4pthUedJMUsFuumxtqEjWtoSxUsas2yitmzqM3SpOo9itL4OlUsKKCvhPOe5jUJl1PH+46GlWuTJo+8I3AVILdr7kduPE4bxEs/hvtZRMyekaUmjkb8CDtxsZZ6tm6Gbpn3Zj0o50BwtDLE3Jo6E2rkmReJShN8EJTyfe3pKRUW0r90KRB5aUw2EJp6bAwCa4TnKxsjwDqGm2jcSn+e6UMFhOdiYrtx3gjf9tp0pKX447aN6+mRHWHxhGhicSgTcro23m0SdTTFotkCrigTL0BkSsHBmnc+jnMXtYBMTUD5Zy9e4i+LAcfq6Ati7ISYNO2ke8s7pFwHmDm2+DtedoNwPJKMe9YMV2Cr7abvieED4uHImXazbzEGAaGkqmmHS8MmwUDRtl6A1wYvrsxDnsPCxysjPJKdvGvjvG0bJoBT+fcAIZV1fS+EzpU5T0z2AJR6zCYEbX7amW2gJxas0Csb7YakczyGxMxSVl9MlfHPDgMZp5COA6bwtCs9BQsqAWSBXxQBl6A5yYPsd6DjPtmICHxbffwvjx8M47yKbNGT/4DuZ0vYhL3csZyxzash/RrB0PHx3GgvKeJu8USNuMtJhCTkbXF7xA3E7sI989C+GBx3Onmp/M2/1oS5Md7KwOzMQBzYDr3q/+EJx6ZVfLDJVkj0nHVcRM0WBRht4AJ6bPdhqLmH2Zw2nHyJ9+gptvhpdegqZNeXbQn3isy6WUpTYBtHTFBeWat7zsngFkrSkmLchLdKeIgBg9aIazY4u0mEJOlgvEfqSLCsalvgVMNbwfj521WdO78ZThAtq5tIcDHu36jFqh+6d7JrthDL5e/166yrgrnEYVTBngRIGKXT0bI40RM+2YZmW/kLvkBZY8d5vW9GPUKPjhB/Kzr/QZeX9079pIBGxEj/aM6Nk+oEmGBJZtORBTWbzRdZtJHJzEPgrXFJN130eMKigKuB9tVz0c0v0oXVQwptEcMjPSTBd168KipdHn/9ryn5TmjCJuKENvQLQdieyeI5zGSLCxauwp58/L3+aLZ29h5Ir5/HzJFfDdd/DII9CihS01TCMRsIXrdtluDhJJCqL/dacIYaqXU5bWmnHzvjas7m2D8cOhnWs/y3IHkFmHqzrDicCB0pxROEuDCN1EE3N2IpYbrZ6NHv5Iqa7iqq8/YdTS12lzZD+LT+kBDz7IgOG/CzjOagHPKtZvt/H1UNdSxrrnUISLvI0AABq0SURBVD3pWvaIVmw/dzQ9ht5m67o75S7k4crhgUVceBeIPSNMx2Cmf6OLqdXlRUu7D826MDtR1A3qvaF3Ks3RScLF70cPOp1P8mcy6tMXOfXADla3PYN7rxjDhtOzKFldTrMNHyEElJR6Akrk8xas93nHTdwuX8l/uGYgVgQvpLZmL81WTeArsDT2/te0oCRU4mBW6vW8fMR8gdhITM2/+1FtL1o6WRNhJQIXvJ9C4QRhJRCEEC8AlwF7pJRne7edABQAHYGtwHAp5UEhhAAeBy4FSoGbpJSrww0inhIIViX5owefEfLlhfgbD8sy91+2QG4ufPklW1t14MG+f2RFt34c9VRZ5qEPOy8zJEfcaMHSn4w0N+WV1Zae/dLUu2jnCvWsd9OK1nnfx3StVto4ae4UXumxjR5b/p3w7kdOyxLYabkYT9kDRf3BrgSCHUP/W+AI8IqfoX8YOCClzBdC5ALNpZRjhRCXAneiGfrfAI9LKX8TbhDxNPRmGi2gfZkCMlFcAkRgMVGsXzgrTRb/7ff/upoBrzwGCxdCZibk5cFNN0GjRqYPK3/Mqj7NEMD0EVlAzYMtI93NkWOVAZk4PzS+FpdB/5VqKXDdVxL2OsPdAyOD1zzdzaTLuySNkbPS59F730bqEKisG4UTOKZ1I6X8QgjRMWjzFcCF3p9fBj4Dxnq3vyK1p8dyIUSGEKKNlHKX/aE7i9k0OUUIw8KeYGLRGQkXNsrJzoRt22DSJBj/CjRrBvn5cOedkJ7uO4+dWG2k4Rl9b7MZjX7PzGLle0RLWkdwnbFU2yYas/uv3/NowoHJns+vqF/YUq/0Gvr3/Dz6EillhvdnARyUUmYIId4D8qWUS72vfQqMlVJauuvx9OjNpt12FyIhVKHR6r3ue3c9B0s9vuOM7m5mRhrLbj0HHnwQnnhCq2C96y4tZHPCCb5z6QbQZcNbdwkweE6ZYhS20WcvAKMKigADNUy0hdT7xZ9JyRrOko17TWcbsTZRNyIRaot2ZlQQn+tVKKyoNfVKKaUUQkS82ieEGAmMBOjQoUOsw7CkcSOXz6DpYQGr+HAwdhbFCtcUM/rttQFhH6ObklZxjJz358DUQjhyRAvP5OVB+/YB5/J/ONny1qVWBOX//lel/pex7jm0qNwTIDuQ5k5BCAxTPPMWrKe8sqYJoblWfC9Y/pPlkOzeX7skamHdKMPHiFiyZJRcsCKeRGvof9ZDMkKINsAe7/ZioL3ffu2820KQUs4EZoLm0Uc5DkuMvPlj3ibaRl9esxi9nZS9aR9uMl0sBWhUVcnwrz9m1NLXOfHoQbjiCs2jP+ssw3MFGxU9xbENgVoxOtVAdZX0xepvarqCCXIWjaqOgaiRHTjBnUrWkJHc4/XYgzHKaV9Q3ZcFFX0N9rZGoH0GThms2pbw1QkOMZnNsKLNkknGzDBF/SJaQ78AuBHI9/7/jt/2vwoh3kRbjD2UyPi8lWHw74rkRNaNqTcnJZdsWsbf//MqpxwoZlW7s9j47xf47f/l2D6XmVYMXpvs303q4crhfNzoAsa4C2hUdizgPOmigj9XzmY5I22n+MWCBO6dsxZwxmAlUsLXP6ZuFg604xAYee6JeoApGg5hDb0Q4g20hdeWQogdwCQ0Az9HCHEzsA3Qc94WoWXcfI+WXvl/cRizbawMgx3530gwMpy9t61j7OcvkbXrOza17MCtwyZy0nXDmPL7bhGdy0wrZlKjV0gTFYYPgCZluw3PfaLcx7h5XxumY8aDKikd8U71PrPx1JO3Gz6JdhHZzHM3LRpTBVMKh6jXrQTNFtGsFiJjSaPUY/Rn7vmBsZ+9zIU/rqL4+FZM73cd87r0p9qVgtslaNqkUUCxU7hGG2YpjrJGiTiAHdWa5IBR/vuO6pb0rZiBEHD+r09g2ZYDUV1vpGSkuSmaNCiqY63yzp3KN6+NFn5WaZqxtDhUNFzsLsbWa60bM2Exs4XIWLRFcrIzebJ3c558/1EWvng3Wbs28UD/PzFg5LO83fV3VLu0cXiqJQdLPabiVbpXWeap8omQ7cJYK8aMtmI/s1Kv1ypJ/fDXpZcSx418itHTyEtJmSdqkS4zbZgUIRwzxOH0h5zAKk0zVhE9hcKKem3ozYTFSkpDFxxBM7ydchfSJ39xZEZp7164+24GXXkBQzZ/iSt3LBm7tjOr55WUN0q1PNTfmPirGkKNAXjIM5xSGXieUpnKQZoannMXLcgaMpKvut7HjuqWVEvBjuqW5HpuCVjAtUK/Z3Zpnu7mkavP8T2cjPC/zj75i23fa6s+s05521bNTZxSkTQLMel/l7GI6CkUVtR7rRujwhSr1Ep/T1s/3pQjR2D6dJg2DUpL4eab+WDYSO5ffYid+cts5b9DzQPGaP8yTxULRT/DFMcT0lPJE88GyPmW0Zid540hJzuT7Hc7cbBihuV7D3UtDVnMXVDd11epaWfBNs2dElDJOsoko0dfG4k0wyTe7fWs4v+AYxkw/Tu34jWDlNT+nVupAipFXKnXHr0ZRiGdYCyn7R4PPPUUnHoqTJwIF10E33xD4Z8ncs9/9vp0xSOpVrXav0pKPk65gL4VM/h1+Wz6Vszg45QLyBoyEi6fAc3aAwKatSftyifoMfQ2CtcU+wq3zNCzedq59uESNc09hrqWMndVMf07twp7n/TRjyoo4pRxixhVUGS4ngCaYY4mROJEfwAzwjV5sTM+uyzZuDei7QqFUzRIQx8c0jEjZDpfXQ0FBXDmmXDHHdC5M3z5JcydC50729IZjwbLqX234XDPN5BXov3vFf2yY5jGuo2zecY0mkOZp4olG/cGNCwxo8xbm6AbS6MKXd0wR5Mi6UR/ADPsfmZOZMAkMj1U0bCp96EbM/ynymbZEAGhgU8+gbFjYfVq6NoVFi2Ciy/2pb0Urim2DHNEKrvgf5yemWNk2MxSAsMZj+bpbtpW7zd8ra3QtheXlMUkc2wk+mUWNgsXholXaMOukXUiTGQnBKUqZBXxoEF69MFYhgZWr4ZBg7TwzP79rJr8GP3+8AidPq+mz0NLKFxTrKVWvrXW9PxGHvljI7JMuySlCOHbb9h5mnE0Wri0akloZZgeG5HFmomDEN4mHsHslC0ATT8nlhlKtZT8mD8koIdrPMMw0WDHgDs1vnDXHq7FpEIRLfU6jz4Sgj2pSWc1ZtAbT8Cbb0KLFjBhAgt6D2Xse9+F5FqD9IUvgrHKxTbK3daF0DK90rXBRU269nw4MbHRg8/gnoIic1G13AGwbg68e1fAYm6pTCXXcwvvi36Wkg52MMsDTyav1egzsFPrEMv7mV27Ve8ElU+vMMIxPfraIBkMvY+ff4b774dnn4XUVPjb3+Dvf4dmzWyrGPrz2IgsSyOhf/GLS8pC1C7N1C/DNRTR1TY75i60fL1wTTFFC2dyS8VrtHXtZzcteKhiOCt/dRFHyysNdW+gJiRjpF+vY6fYKFkMfrKMw6x3gl31VEXDo9bUK+sNv/wCo/8PXpwPnmro3RwmT4WBNe3yolk0y8nO1DznTycbdkrSY89GDxEzYx7u0ayHIzItYsI1nmxPXkJr6ZfmTmHq1V15PDuTTiYPCYBHhp8T0lSkuKTMV+GZacNYJpOQV7KkNsY7jVTRcFGGvrxc897z/gkHD0OXRtA/DVpUwfJJ0Kq5zyhHKgTWPN0N6+ZQ+c6dmookwKHt2u8Q0BbPqcwL/5ivVQNtszTHUQVFrNx2wPRaM9LcAUYxWiOZjEJeifbs63LDc0Vy03ANfXW1Fn+fMAF+/BFOOw6uOg7a+i2Weco0T9xrkO3qkoOmDT/p8i6Uvj+Q9KpAFclGVcfYOW8cfV4/zmdQnFCTFIKAcIm/+JbucevG1Oq9Xlv+E31OOYEDRytCjE7e0C62xhLOaMaaaui0UY7HDCPSMdaVjluKukfDM/RSwkcfad2cioogKws+/BCWXY1hUv2hHb4fg7+IViGUaVdp4Y3qd4xVJFvL/QGZFU6oSUoZapT034ONWDiW/3CQR4afE5XRsWM0/R9swdW5eVNWkDVkpOl7xcMoOz3DiHaMyRJGUtQvGlZ65VdfwcCBWv77oUPw+uuwapWWPpnR3viYoBTEnOxMluUO4Mf8Iabpkfr2PvmL2VndwnAfPYUR8BUn+adghitSMiM4/bJP/mIWv/UEH4s7+KHxtSxNvYuhrqVhz1Pl1ZHRr9U/RTIcdqpf9VRDo+rcMZ6nWDr/KdO0wngIkDldzFQbImkKhV0ahqH/7ju4+mro2RO++Qb+/W/YuBGuuQZc3lswcGKI2iPuNG27CWZ50f07t/LlQz9caSxIpqtI6uwsKQswrI8MPyeqS9XzrnWP8rzDH5vKHOgMdS1laepdAQ+CaB80+rWE265Xu45PfcuwOncUb5oaxXhUmJoteEa7EKqqYBXJRMMw9E8+Ce+/D5MmwZYt8Ne/aqmT/nQbHqIbw+UzAhZMjWjirrmFGWlupl7ZlSUb9/q8uQXVfcn13BJWRbJZmjvg95zsTG0xN0J0r1H3KM2aloxpNAcw17uZetqGiN9bx8w4Sggo+srJzqQ1oZr5oFXnmhlFp40yOF/IFY8xKhTR0jBi9BMnwvjxcNJJ1vt1Gx7WsOsYFdroTbWDDZSdnqslZR4mFH7NlJyuvm2TLu9ie/HXH//3byvMDSmYd68afuhF4F7L9ylcU0zegvW+fHu98frowWcw+q21hvn1IbHqZu3g0PbQa5AtTI1iPLJTnF4IVRk0imSiYRj6FsZx8liwSk+MltnLf6L7yScYZs2EW/z1RzeQxSVl7JQtaWdg7I+ltyalQpg+CPwXoY3QZR/8jfnBUg/3vrWWa3q2N17Y9uK/yDmn2f9xWUl+wMOmVKbySPUIU6MYr+wUJxdCVQaNIplQlbGR4Ff4tKO6hU+73Umsyt3tVObqFamgxesvqvo8oLE4oK09XD6DCT+cyZ9X5xi2HKRZe00N0wSrsbiEsYKlPwKYPiKLewqKuNyXdVOjtf9F4/5Rtx5UKBoKqjLWQXSpgDGep2oacbtqGnGHM/YZaW6OVlTa0o6xWqwzCge4UwTHpTbiUJmxLsu0D1PJPaxJErdhP3tES7Z3HU2PbsPpXlXMv1aO4EHxXMCDoDKlCY0sFqHDjTOckYcabXqJcWhLmMgvNEgsKqsVCjsoQx8GPRb/sXiNdJfxoqZV/F0ARZMGhcSzzbBarIsmHFBaUakZ0vKaMaZ9lcLU9l7pgso+VFfLAI96VqPryQtjSGIp8NJj1fdYhLnUoqWXYOG5Q9u130EZe4VtVOgmDHqI4ofG1xp2TqqWgl+XzzY9PliTHcxbGdoRAgvHhMKveeN/28NqyGdmpJnG/YNFtIwqPMG8ZaB+DiOBNn8dHLPwjx7WiTWe7UT1bKJlEZh+tuFidbjQmqJhYDd0E1N6pRBiqxDiayFEkRBipXfbCUKIj4UQm73/N4/lPWoLs4bVeohip2xpeJx/4ZMRVVKG9KFdljuArflDfJr0TnVNmlD4Na8t/8lWoxDdcBnhEsJ3/WYa6QDX9+pgen5JzXpsZkYa00dksTV/iE9np1PuQkorKnEHPT0FcF2vDo4Y+Vi13ZNCH95sUTzMYrlC4Y8ToZv+Ukr/1bxc4FMpZb4QItf7+1gH3iduWJWr6yGKhyuHhyxqlspU/lU1wvb7BJfUO13uPtug8bQZundqlL5ZJSWj39YaqVhVeC7LHUD3k08wnaHoHry+uFy4ppil85+igDdp23gfOytb8ohrBEsaX2i6xhAtTkgaJIXwmkn6aXDFtkJhRTwKpq4AXvb+/DKQE4f3cBSrL7R/IU2ZTEVKTVPmgGxKrucWCqv6hJzPqqF2pJWRZjMNo/0iCcLpBnXqlV0NQ1KeKq3ht1kcXr8OvZrXLJvS/3qLFs5kspgZUJz1QMpzXFjxWQQjt4cTlalJUd0aRcW2QhFMrIZeAh8JIVYJIUZ6t50kpdzl/Xk3EKZKKfFYfaFzsjN5pcc2Hkp9nhauIwihqUQ2ocLwGL061kwHJ5JFxkhCB5FoqPhLDedkZ9rKkgkm+DrsVILeUvGaYXHW31MKHA+NOFGZmhTVrVFWbCsU/sRq6PtKKc8FLgHuEEL81v9Fqa30GpoRIcTI/2/vfmOsqM44jn9/7C7rQhoXhCJd/wANbaLRhIqaiG0aaMBaRVJIg2ka0pq+aN82TTG0hJgm2Pqq6RtiTBqb1ArViBvTSlCkaUy1LqKgTSm7tFS3KARLawUpf56+uGeW2bt37p37d+YOzye5uXPnzuyeZ+feZ2fOOXOOpBFJIydOnGiyGM2p9YW+deznDHB20nvxYQTiZvb3smbJEN9f9dkp9c9901TXnZH1DIyV9iyznqGGq/2M8jiqDSEQXZXUuksXWjfwVyuGNMjN/LY3f63U8LrlVOnZk7yrU1OJ3szGw/Nx4BngNuB9SfMBwvPxhH0fNbOlZrZ07ty5zRSjaTW/0AkNX/EEFZmUcMvrM8pfH9hR6lWxZbD0fGDyP45qVxrlVTqDCePi9PdOY0ZsPJ6Pz19g5OgHk7YZHEg3pk61RuOoGqi8cRmYuCpJ26DdiqqRpPLUU7feip/hXB403BgraSYwzcw+DMsrgYeAYWAD8HB4frYVBW2nmv3Tq4zHUi66Cnhk16EpN0idu2CXGvJS9I9OnOVpRt+UxuO+aaKvR5N+50BfD5+77kpeHruU2M1KE4sAE+PqbFl9Y+LYNJE0E1RXalxe9vCeiXImNWiXj+TZqqqRVjR2+/jwrgia6XUzD3hGpeFse4EnzOx5Sa8BOyQ9ABwFuuI6s+oXesXmyUkZOMPUBBW/CqjVkHf6d5uZca5smxQzWg309WDGlCqdKEmXz9v6vR1vVizHr199ZyLRl89EVd4HPk11RVJ/8/jfYfjinXCOiZuzPp5xNZs/WsvwxTvq+l3Oufo0nOjN7AgwZdB0MzsJrGimULkT1YnGbkMfWLGZ5ReWsS/hKqDaRM8794+z+vR7dc9oFf2OaneUXjCbSJZrlgwl3tRU3tc+/o+u3puE0nRPjUTDHQwNDvDyD5Zz5/5x/ugDfznXVn5nbJv8cOdBfvXKP6acGW/96k08susQ209/u6HBxCDd4GZRVcunH/xtxRuoeiTGtt6dJpSaksoTXVVUuirxum7nmteRO2NdZTv3j/P0vvEpQwCsvWVoojojaeapNP2jKzUel4uqTO6/vfIUiUnrG1Gre6o3aDqXLR/UrA0qdYs04KW/lLqRfmpwgOFTk+ur/2lX8dj02oOJwdQ69UqiBs2oHj4a/6ZH4v7br500wUmzqlVTReX1xO5cdjzRt0GthtioOmP43KXheQf6etj6lfTJN0qelWa6Km/Q/PGam1qa2MtVmlGq3nsGnHPt44m+DdKc4UJrZh/KzUxGte4ZcM5lxhtj2yDpLLuoddPVGmNr9b13zjXOZ5jKUG7OsjskF4N/OecSeaJvk8uhATLqb590TeizRDmXD57oXUMqVU/F+R2uzuWHJ3rXkEpdSCNDBa+qcq7beKJ3DUmqfxd4A6xzOeN3xrqG5GJSDudcKp7oXUNyMymHc64mr7pxDbncupA618080buGXQ5dSJ0rAq+6cc65gvNE75xzBeeJ3jnnCs4TvXPOFZwneuecK7hcDFMs6QRwtMHd5wAVJl/tekWNC4obW1HjAo8tr643s7m1NspFom+GpJE04zF3m6LGBcWNrahxgcfW7bzqxjnnCs4TvXPOFVwREv2jWRegTYoaFxQ3tqLGBR5bV+v6OnrnnHPVFeGM3jnnXBW5T/SSZkvaLelweJ6VsN3zkk5Jeq5s/UJJr0oalbRd0vTOlLy2OmLbELY5LGlDbP1eSYckvREen+xc6SuW865QnlFJGyu83x+OwWg4Jgti7z0Y1h+StKqT5U6j0dgkLZB0JnaMtnW67LWkiO0Lkl6XdF7SurL3Kn4286DJuC7Ejtlw50rdJmaW6wfwU2BjWN4I/CRhuxXAvcBzZet3AOvD8jbgO1nHVE9swGzgSHieFZZnhff2AkuzjiOUpQcYAxYB04E3gRvKtvkusC0srwe2h+Ubwvb9wMLwc3qyjqlFsS0A3so6hiZjWwDcDPwSWJfms5n1o5m4wnv/zTqGVj5yf0YP3Ac8HpYfB9ZU2sjMXgQ+jK+TJGA58FSt/TOSJrZVwG4z+8DM/gXsBu7qUPnqcRswamZHzOx/wJOU4ouLx/sUsCIco/uAJ83srJn9DRgNPy8vmokt72rGZmZ/N7MDwMWyffP82WwmrsLphkQ/z8yOheX3gHl17HsVcMrMzofX7wJ5GkA9TWxDwDux1+Ux/CJcXv4o48RSq5yTtgnH5N+UjlGafbPUTGwACyXtl/R7SZ9vd2Hr1MzfPs/HrdmyXSFpRNIrkvJ0ctiQXEw8IukF4OoKb22KvzAzk9RV3YTaHNvXzWxc0ieAp4FvULoMdflxDLjOzE5KugXYKelGM/tP1gVzVV0fvluLgD2SDprZWNaFalQuEr2ZfSnpPUnvS5pvZsckzQeO1/GjTwKDknrDWdY1wHiTxa1LC2IbB74Ye30Npbp5zGw8PH8o6QlKl6tZJfpx4NrY60p/62ibdyX1AldSOkZp9s1Sw7FZqcL3LICZ7ZM0BnwGGGl7qdNp5m+f+NnMgaY+U7Hv1hFJe4EllOr8u1I3VN0MA1Fr/gbg2bQ7hi/ZS0DUol7X/h2QJrZdwEpJs0KvnJXALkm9kuYASOoD7gHe6kCZk7wGLA69nKZTapAs760Qj3cdsCcco2Fgfei5shBYDPypQ+VOo+HYJM2V1AMQzg4XU2q0zIs0sSWp+NlsUznr1XBcIZ7+sDwHWAb8uW0l7YSsW4NrPSjVc74IHAZeAGaH9UuBx2Lb/QE4AZyhVB+3KqxfRClpjAK/AfqzjqmB2L4Vyj8KfDOsmwnsAw4AbwM/I+OeKsDdwF8pnflsCuseAlaH5SvCMRgNx2RRbN9NYb9DwJezPjatig1YG47PG8DrwL1Zx9JAbLeG79RHlK7A3q722czLo9G4gDuAg5R66hwEHsg6lmYffmesc84VXDdU3TjnnGuCJ3rnnCs4T/TOOVdwnuidc67gPNE751zBeaJ3zrmC80TvnHMF54neOecK7v9oCn3M+aBu9gAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] diff --git a/4_logistic_regression/Logistic_regression.ipynb b/4_logistic_regression/Logistic_regression.ipynb index 39f177f..80b841d 100644 --- a/4_logistic_regression/Logistic_regression.ipynb +++ b/4_logistic_regression/Logistic_regression.ipynb @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -180,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -196,7 +196,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -222,7 +222,7 @@ "Text(0.5, 1.0, 'Original Data')" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, @@ -252,7 +252,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -280,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -324,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -355,7 +355,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { diff --git a/5_nn/Perceptron.ipynb b/5_nn/Perceptron.ipynb index 3ae9d9a..a438284 100644 --- a/5_nn/Perceptron.ipynb +++ b/5_nn/Perceptron.ipynb @@ -18,9 +18,9 @@ "\n", "心理学家Rosenblatt构想了感知机，它作为简化的数学模型解释大脑神经元如何工作：它取一组二进制输入值（附近的神经元），将每个输入值乘以一个连续值权重（每个附近神经元的突触强度），并设立一个阈值，如果这些加权输入值的和超过这个阈值，就输出1，否则输出0（同理于神经元是否放电）。对于感知机，绝大多数输入值不是一些数据，就是别的感知机的输出值。\n", "\n", - "麦卡洛克-皮兹模型缺乏一个对AI而言至关重要的学习机制。这就是感知机更出色的地方所在——罗森布拉特受到唐纳德·赫布(Donald Hebb) 基础性工作的启发，想出一个让这种人工神经元学习的办法。赫布提出了一个出人意料并影响深远的想法，称知识和学习发生在大脑主要是通过神经元间突触的形成与变化，简要表述为赫布法则：\n", + "唐纳德·赫布提出了一个出人意料并影响深远的想法，称知识和学习发生在大脑主要是通过神经元间突触的形成与变化，简要表述为赫布法则：\n", "\n", - ">当细胞A的轴突足以接近以激发细胞B，并反复持续地对细胞B放电，一些生长过程或代谢变化将发生在某一个或这两个细胞内，以致A作为对B放电的细胞中的一个，效率增加。\n", + "> 当细胞A的轴突足以接近以激发细胞B，并反复持续地对细胞B放电，一些生长过程或代谢变化将发生在某一个或这两个细胞内，以致A作为对B放电的细胞中的一个，效率增加。\n", "\n", "\n", "感知机并没有完全遵循这个想法，**但通过调输入值的权重，可以有一个非常简单直观的学习方案：给定一个有输入输出实例的训练集，感知机应该「学习」一个函数：对每个例子，若感知机的输出值比实例低太多，则增加它的权重，否则若设比实例高太多，则减少它的权重。**\n" @@ -32,13 +32,13 @@ "source": [ "## 1. 感知机模型\n", "\n", - "假设输入空间(特征向量)为X⊆Rn，输出空间为Y={-1, +1}。输入x∈X表示实例的特征向量，对应于输入空间的点；输出y∈Y表示示例的类别。由输入空间到输出空间的函数为\n", + "假设输入空间(特征向量)为$X \\subseteq R^n$，输出空间为$Y=\\{-1, +1\\}$。输入$x \\in X$ 表示实例的特征向量，对应于输入空间的点；输出$y \\in Y$表示示例的类别。由输入空间到输出空间的函数为\n", "\n", "$$\n", "f(x) = sign(w x + b)\n", "$$\n", "\n", - "称为感知机。其中，参数w叫做权值向量，b称为偏置。w·x表示w和x的内积。sign为符号函数，即\n", + "称为感知机。其中，参数$w$叫做权值向量，$b$称为偏置。$w·x$表示$w$和$x$的内积。$sign$为符号函数，即\n", "![sign_function](images/sign.png)\n", "\n", "### 1.1 几何解释 \n", @@ -66,7 +66,7 @@ "\\frac{1}{||w||} | w \\cdot xo + b |\n", "$$\n", "\n", - "其次，对于误分类点（xi,yi）来说 -yi(w·xi+b)>0\n", + "其次，对于误分类点$(x_i,y_i)$来说 $-y_i(w \\cdot x_i + b) > 0$\n", "\n", "这样，假设超平面S的总的误分类点集合为M，那么所有误分类点到S的距离之和为\n", "$$\n", @@ -76,7 +76,7 @@ "\n", "### 经验风险函数\n", "\n", - "给定数据集T={(x1,y1),(x2,y2)...(xN,yN)}（其中xi∈X=Rn，yi∈Y={-1, +1}，i=1,2...N），感知机sign(w·x+b)学习的损失函数定义为\n", + "给定数据集$T = \\{(x_1,y_1), (x_2, y_2), ... (x_N, y_N)\\}$（其中$x_i \\in R^n$, $y_i \\in \\{-1, +1\\}，i=1,2...N$），感知机sign(w·x+b)学习的损失函数定义为\n", "$$\n", "L(w, b) = - \\sum_{x_i \\in M} y_i (w \\cdot x_i + b)\n", "$$\n", @@ -92,13 +92,13 @@ "## 3. 感知机学习算法\n", "\n", "\n", - "最优化问题：给定数据集T={(x1,y1),(x2,y2)...(xN,yN)}（其中xi∈X=Rn，yi∈Y={-1, +1}，i=1,2...N），求参数w,b,使其成为损失函数的解（M为误分类的集合）：\n", + "最优化问题：给定数据集$T = \\{(x_1,y_1), (x_2, y_2), ... (x_N, y_N)\\}$（其中$x_i \\in R^n$, $y_i \\in \\{-1, +1\\}，i=1,2...N$），求参数w,b,使其成为损失函数的解（M为误分类的集合）：\n", "\n", "$$\n", "min_{w,b} L(w, b) = - \\sum_{x_i \\in M} y_i (w \\cdot x_i + b)\n", "$$\n", "\n", - "感知机学习是误分类驱动的，具体采用[随机梯度下降法](https://blog.csdn.net/zbc1090549839/article/details/38149561)。首先，任意选定$w_0$、$b_0$，然后用梯度下降法不断极小化目标函数，极小化的过程不知一次性的把M中的所有误分类点梯度下降，而是一次随机选取一个误分类点使其梯度下降。\n", + "感知机学习是误分类驱动的，具体采用[随机梯度下降法](https://blog.csdn.net/zbc1090549839/article/details/38149561)。首先，任意选定$w_0$、$b_0$，然后用梯度下降法不断极小化目标函数，极小化的过程不是一次性的把M中的所有误分类点梯度下降，而是一次随机选取一个误分类点使其梯度下降。\n", "\n", "假设误分类集合M是固定的，那么损失函数L(w,b)的梯度为\n", "$$\n", @@ -150,10 +150,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "update weight and bias: 1.0 2.5 0.5\n", - "update weight and bias: -2.0 1.5 0.0\n", - "w = [-2.0, 1.5]\n", - "b = 0.0\n", + "update weight and bias: 1.0 3.0 0.5\n", + "update weight and bias: -0.5 2.5 0.0\n", + "update weight and bias: -2.5 2.0 -0.5\n", + "w = [-2.5, 2.0]\n", + "b = -0.5\n", "[ 1 1 1 1 -1 -1 -1 -1]\n", "[1, 1, 1, 1, -1, -1, -1, -1]\n" ] diff --git a/5_nn/mlp_bp.ipynb b/5_nn/mlp_bp.ipynb index d79ea84..5832e12 100644 --- a/5_nn/mlp_bp.ipynb +++ b/5_nn/mlp_bp.ipynb @@ -138,7 +138,12 @@ "![eqn_17_20](images/eqn_17_20.png)\n", "\n", "\n", - "这就是神经网络输出值的矩阵计算方法。\n" + "这就是神经网络输出值的矩阵计算方法。\n", + "\n", + "如果写成一个公式：\n", + "$$\n", + "\\vec{y} = f(W4 \\cdot f(W3 \\cdot f(W2 \\cdot f(W1 \\cdot \\vec{x}))))\n", + "$$" ] }, { @@ -302,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -341,7 +346,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -369,7 +374,7 @@ "nn.n_hide_dim = 4 # hidden node size\n", "\n", "nn.X = X\n", - "nn.y = y\n", + "nn.y = y \n", "\n", "# initial weight array\n", "nn.W1 = np.random.randn(nn.n_input_dim, nn.n_hide_dim) / np.sqrt(nn.n_input_dim)\n", @@ -403,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -1005,13 +1010,7 @@ "epoch [ 592] L = 38.645284, acc = 0.850000\n", "epoch [ 593] L = 38.644948, acc = 0.850000\n", "epoch [ 594] L = 38.644612, acc = 0.850000\n", - "epoch [ 595] L = 38.644278, acc = 0.850000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch [ 595] L = 38.644278, acc = 0.850000\n", "epoch [ 596] L = 38.643945, acc = 0.850000\n", "epoch [ 597] L = 38.643612, acc = 0.850000\n", "epoch [ 598] L = 38.643281, acc = 0.850000\n", @@ -1020,7 +1019,13 @@ "epoch [ 601] L = 38.642293, acc = 0.850000\n", "epoch [ 602] L = 38.641965, acc = 0.850000\n", "epoch [ 603] L = 38.641638, acc = 0.850000\n", - "epoch [ 604] L = 38.641313, acc = 0.850000\n", + "epoch [ 604] L = 38.641313, acc = 0.850000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch [ 605] L = 38.640988, acc = 0.850000\n", "epoch [ 606] L = 38.640664, acc = 0.850000\n", "epoch [ 607] L = 38.640341, acc = 0.850000\n", @@ -1623,16 +1628,16 @@ "epoch [1204] L = 38.525797, acc = 0.845000\n", "epoch [1205] L = 38.525676, acc = 0.845000\n", "epoch [1206] L = 38.525555, acc = 0.845000\n", - "epoch [1207] L = 38.525434, acc = 0.845000\n", - "epoch [1208] L = 38.525313, acc = 0.845000\n", - "epoch [1209] L = 38.525192, acc = 0.845000\n", - "epoch [1210] L = 38.525072, acc = 0.845000\n" + "epoch [1207] L = 38.525434, acc = 0.845000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "epoch [1208] L = 38.525313, acc = 0.845000\n", + "epoch [1209] L = 38.525192, acc = 0.845000\n", + "epoch [1210] L = 38.525072, acc = 0.845000\n", "epoch [1211] L = 38.524951, acc = 0.845000\n", "epoch [1212] L = 38.524831, acc = 0.845000\n", "epoch [1213] L = 38.524711, acc = 0.845000\n", @@ -2260,14 +2265,14 @@ "epoch [1835] L = 38.466317, acc = 0.845000\n", "epoch [1836] L = 38.466240, acc = 0.845000\n", "epoch [1837] L = 38.466164, acc = 0.845000\n", - "epoch [1838] L = 38.466087, acc = 0.845000\n" + "epoch [1838] L = 38.466087, acc = 0.845000\n", + "epoch [1839] L = 38.466011, acc = 0.845000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch [1839] L = 38.466011, acc = 0.845000\n", "epoch [1840] L = 38.465934, acc = 0.845000\n", "epoch [1841] L = 38.465858, acc = 0.845000\n", "epoch [1842] L = 38.465781, acc = 0.845000\n", @@ -2466,7 +2471,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -2516,7 +2521,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -2630,12 +2635,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -2663,2013 +2668,2031 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "L = 107.040493, acc = 0.500000\n", - "L = 102.045362, acc = 0.500000\n", - "L = 97.906443, acc = 0.500000\n", - "L = 94.853004, acc = 0.500000\n", - "L = 92.680087, acc = 0.515000\n", - "L = 91.034467, acc = 0.675000\n", - "L = 89.646974, acc = 0.740000\n", - "L = 88.369257, acc = 0.760000\n", - "L = 87.131907, acc = 0.800000\n", - "L = 85.905402, acc = 0.790000\n", - "L = 84.678282, acc = 0.795000\n", - "L = 83.446916, acc = 0.800000\n", - "L = 82.211090, acc = 0.795000\n", - "L = 80.972156, acc = 0.795000\n", - "L = 79.732278, acc = 0.795000\n", - "L = 78.494093, acc = 0.810000\n", - "L = 77.260550, acc = 0.815000\n", - "L = 76.034802, acc = 0.805000\n", - "L = 74.820121, acc = 0.805000\n", - "L = 73.619820, acc = 0.805000\n", - "L = 72.437170, acc = 0.810000\n", - "L = 71.275332, acc = 0.810000\n", - "L = 70.137285, acc = 0.810000\n", - "L = 69.025762, acc = 0.810000\n", - "L = 67.943204, acc = 0.810000\n", - "L = 66.891717, acc = 0.810000\n", - "L = 65.873045, acc = 0.810000\n", - "L = 64.888558, acc = 0.805000\n", - "L = 63.939247, acc = 0.805000\n", - "L = 63.025738, acc = 0.800000\n", - "L = 62.148308, acc = 0.800000\n", - "L = 61.306913, acc = 0.800000\n", - "L = 60.501221, acc = 0.805000\n", - "L = 59.730650, acc = 0.805000\n", - "L = 58.994403, acc = 0.805000\n", - "L = 58.291506, acc = 0.805000\n", - "L = 57.620848, acc = 0.805000\n", - "L = 56.981212, acc = 0.805000\n", - "L = 56.371308, acc = 0.805000\n", - "L = 55.789797, acc = 0.805000\n", - "L = 55.235320, acc = 0.805000\n", - "L = 54.706516, acc = 0.805000\n", - "L = 54.202038, acc = 0.810000\n", - "L = 53.720565, acc = 0.815000\n", - "L = 53.260818, acc = 0.820000\n", - "L = 52.821562, acc = 0.820000\n", - "L = 52.401615, acc = 0.820000\n", - "L = 51.999850, acc = 0.820000\n", - "L = 51.615198, acc = 0.820000\n", - "L = 51.246651, acc = 0.820000\n", - "L = 50.893258, acc = 0.820000\n", - "L = 50.554124, acc = 0.820000\n", - "L = 50.228415, acc = 0.820000\n", - "L = 49.915347, acc = 0.820000\n", - "L = 49.614189, acc = 0.820000\n", - "L = 49.324260, acc = 0.820000\n", - "L = 49.044927, acc = 0.820000\n", - "L = 48.775597, acc = 0.820000\n", - "L = 48.515723, acc = 0.820000\n", - "L = 48.264794, acc = 0.820000\n", - "L = 48.022334, acc = 0.820000\n", - "L = 47.787904, acc = 0.820000\n", - "L = 47.561092, acc = 0.820000\n", - "L = 47.341518, acc = 0.820000\n", - "L = 47.128828, acc = 0.820000\n", - "L = 46.922692, acc = 0.820000\n", - "L = 46.722802, acc = 0.820000\n", - "L = 46.528875, acc = 0.820000\n", - "L = 46.340642, acc = 0.825000\n", - "L = 46.157856, acc = 0.825000\n", - "L = 45.980285, acc = 0.825000\n", - "L = 45.807711, acc = 0.825000\n", - "L = 45.639934, acc = 0.825000\n", - "L = 45.476762, acc = 0.825000\n", - "L = 45.318017, acc = 0.825000\n", - "L = 45.163533, acc = 0.825000\n", - "L = 45.013153, acc = 0.825000\n", - "L = 44.866728, acc = 0.825000\n", - "L = 44.724120, acc = 0.825000\n", - "L = 44.585197, acc = 0.825000\n", - "L = 44.449835, acc = 0.825000\n", - "L = 44.317917, acc = 0.825000\n", - "L = 44.189331, acc = 0.825000\n", - "L = 44.063971, acc = 0.825000\n", - "L = 43.941737, acc = 0.825000\n", - "L = 43.822534, acc = 0.830000\n", - "L = 43.706270, acc = 0.835000\n", - "L = 43.592859, acc = 0.835000\n", - "L = 43.482217, acc = 0.835000\n", - "L = 43.374264, acc = 0.835000\n", - "L = 43.268926, acc = 0.835000\n", - "L = 43.166127, acc = 0.835000\n", - "L = 43.065799, acc = 0.840000\n", - "L = 42.967874, acc = 0.835000\n", - "L = 42.872286, acc = 0.840000\n", - "L = 42.778973, acc = 0.840000\n", - "L = 42.687875, acc = 0.840000\n", - "L = 42.598932, acc = 0.840000\n", - "L = 42.512089, acc = 0.840000\n", - "L = 42.427290, acc = 0.840000\n", - "L = 42.344484, acc = 0.840000\n", - "L = 42.263618, acc = 0.840000\n", - "L = 42.184643, acc = 0.840000\n", - "L = 42.107510, acc = 0.840000\n", - "L = 42.032174, acc = 0.840000\n", - "L = 41.958587, acc = 0.840000\n", - "L = 41.886707, acc = 0.840000\n", - "L = 41.816490, acc = 0.840000\n", - "L = 41.747895, acc = 0.840000\n", - "L = 41.680880, acc = 0.835000\n", - "L = 41.615406, acc = 0.835000\n", - "L = 41.551435, acc = 0.835000\n", - "L = 41.488930, acc = 0.835000\n", - "L = 41.427852, acc = 0.835000\n", - "L = 41.368168, acc = 0.835000\n", - "L = 41.309842, acc = 0.835000\n", - "L = 41.252841, acc = 0.835000\n", - "L = 41.197132, acc = 0.835000\n", - "L = 41.142682, acc = 0.835000\n", - "L = 41.089460, acc = 0.835000\n", - "L = 41.037437, acc = 0.835000\n", - "L = 40.986581, acc = 0.835000\n", - "L = 40.936865, acc = 0.840000\n", - "L = 40.888260, acc = 0.840000\n", - "L = 40.840738, acc = 0.840000\n", - "L = 40.794273, acc = 0.840000\n", - "L = 40.748839, acc = 0.840000\n", - "L = 40.704410, acc = 0.840000\n", - "L = 40.660961, acc = 0.840000\n", - "L = 40.618468, acc = 0.840000\n", - "L = 40.576908, acc = 0.840000\n", - "L = 40.536257, acc = 0.845000\n", - "L = 40.496494, acc = 0.845000\n", - "L = 40.457596, acc = 0.845000\n", - "L = 40.419541, acc = 0.850000\n", - "L = 40.382310, acc = 0.850000\n", - "L = 40.345882, acc = 0.850000\n", - "L = 40.310238, acc = 0.855000\n", - "L = 40.275357, acc = 0.855000\n", - "L = 40.241222, acc = 0.855000\n", - "L = 40.207815, acc = 0.855000\n", - "L = 40.175117, acc = 0.855000\n", - "L = 40.143111, acc = 0.855000\n", - "L = 40.111781, acc = 0.855000\n", - "L = 40.081110, acc = 0.855000\n", - "L = 40.051081, acc = 0.855000\n", - "L = 40.021681, acc = 0.855000\n", - "L = 39.992893, acc = 0.855000\n", - "L = 39.964702, acc = 0.855000\n", - "L = 39.937094, acc = 0.855000\n", - "L = 39.910056, acc = 0.855000\n", - "L = 39.883573, acc = 0.855000\n", - "L = 39.857633, acc = 0.855000\n", - "L = 39.832222, acc = 0.855000\n", - "L = 39.807327, acc = 0.855000\n", - "L = 39.782937, acc = 0.855000\n", - "L = 39.759039, acc = 0.855000\n", - "L = 39.735623, acc = 0.855000\n", - "L = 39.712675, acc = 0.855000\n", - "L = 39.690186, acc = 0.855000\n", - "L = 39.668144, acc = 0.855000\n", - "L = 39.646540, acc = 0.855000\n", - "L = 39.625362, acc = 0.855000\n", - "L = 39.604602, acc = 0.855000\n", - "L = 39.584248, acc = 0.855000\n", - "L = 39.564293, acc = 0.855000\n", - "L = 39.544726, acc = 0.855000\n", - "L = 39.525538, acc = 0.855000\n", - "L = 39.506721, acc = 0.855000\n", - "L = 39.488267, acc = 0.855000\n", - "L = 39.470166, acc = 0.855000\n", - "L = 39.452412, acc = 0.855000\n", - "L = 39.434995, acc = 0.855000\n", - "L = 39.417909, acc = 0.855000\n", - "L = 39.401146, acc = 0.855000\n", - "L = 39.384698, acc = 0.855000\n", - "L = 39.368558, acc = 0.855000\n", - "L = 39.352721, acc = 0.855000\n", - "L = 39.337178, acc = 0.855000\n", - "L = 39.321923, acc = 0.855000\n", - "L = 39.306950, acc = 0.855000\n", - "L = 39.292252, acc = 0.855000\n", - "L = 39.277824, acc = 0.855000\n", - "L = 39.263659, acc = 0.855000\n", - "L = 39.249751, acc = 0.855000\n", - "L = 39.236096, acc = 0.855000\n", - "L = 39.222687, acc = 0.855000\n", - "L = 39.209520, acc = 0.860000\n", - "L = 39.196588, acc = 0.860000\n", - "L = 39.183886, acc = 0.860000\n", - "L = 39.171411, acc = 0.860000\n", - "L = 39.159156, acc = 0.860000\n", - "L = 39.147117, acc = 0.860000\n", - "L = 39.135290, acc = 0.860000\n", - "L = 39.123669, acc = 0.860000\n", - "L = 39.112251, acc = 0.860000\n", - "L = 39.101031, acc = 0.860000\n", - "L = 39.090005, acc = 0.860000\n", - "L = 39.079169, acc = 0.860000\n", - "L = 39.068519, acc = 0.860000\n", - "L = 39.058050, acc = 0.865000\n", - "L = 39.047760, acc = 0.865000\n", - "L = 39.037644, acc = 0.865000\n", - "L = 39.027699, acc = 0.865000\n", - "L = 39.017920, acc = 0.865000\n", - "L = 39.008306, acc = 0.865000\n", - "L = 38.998852, acc = 0.865000\n", - "L = 38.989555, acc = 0.865000\n", - "L = 38.980411, acc = 0.865000\n", - "L = 38.971418, acc = 0.865000\n", - "L = 38.962573, acc = 0.865000\n", - "L = 38.953872, acc = 0.865000\n", - "L = 38.945312, acc = 0.865000\n", - "L = 38.936892, acc = 0.865000\n", - "L = 38.928607, acc = 0.865000\n", - "L = 38.920455, acc = 0.865000\n", - "L = 38.912433, acc = 0.865000\n", - "L = 38.904539, acc = 0.865000\n", - "L = 38.896771, acc = 0.865000\n", - "L = 38.889125, acc = 0.865000\n", - "L = 38.881600, acc = 0.865000\n", - "L = 38.874192, acc = 0.865000\n", - "L = 38.866900, acc = 0.865000\n", - "L = 38.859720, acc = 0.865000\n", - "L = 38.852652, acc = 0.865000\n", - "L = 38.845693, acc = 0.865000\n", - "L = 38.838840, acc = 0.865000\n", - "L = 38.832092, acc = 0.865000\n", - "L = 38.825446, acc = 0.865000\n", - "L = 38.818901, acc = 0.865000\n", - "L = 38.812455, acc = 0.865000\n", - "L = 38.806104, acc = 0.865000\n", - "L = 38.799849, acc = 0.865000\n", - "L = 38.793686, acc = 0.865000\n", - "L = 38.787615, acc = 0.865000\n", - "L = 38.781633, acc = 0.865000\n", - "L = 38.775738, acc = 0.865000\n", - "L = 38.769930, acc = 0.865000\n", - "L = 38.764205, acc = 0.865000\n", - "L = 38.758563, acc = 0.865000\n", - "L = 38.753003, acc = 0.865000\n", - "L = 38.747521, acc = 0.865000\n", - "L = 38.742118, acc = 0.865000\n", - "L = 38.736791, acc = 0.865000\n", - "L = 38.731540, acc = 0.865000\n", - "L = 38.726362, acc = 0.865000\n", - "L = 38.721256, acc = 0.865000\n", - "L = 38.716221, acc = 0.865000\n", - "L = 38.711255, acc = 0.865000\n", - "L = 38.706358, acc = 0.865000\n", - "L = 38.701528, acc = 0.865000\n", - "L = 38.696763, acc = 0.865000\n", - "L = 38.692063, acc = 0.865000\n", - "L = 38.687426, acc = 0.865000\n", - "L = 38.682851, acc = 0.865000\n", - "L = 38.678337, acc = 0.865000\n", - "L = 38.673883, acc = 0.865000\n", - "L = 38.669488, acc = 0.865000\n", - "L = 38.665150, acc = 0.865000\n", - "L = 38.660868, acc = 0.865000\n", - "L = 38.656642, acc = 0.865000\n", - "L = 38.652470, acc = 0.865000\n", - "L = 38.648352, acc = 0.865000\n", - "L = 38.644286, acc = 0.865000\n", - "L = 38.640272, acc = 0.865000\n", - "L = 38.636308, acc = 0.865000\n", - "L = 38.632394, acc = 0.865000\n", - "L = 38.628528, acc = 0.865000\n", - "L = 38.624710, acc = 0.865000\n", - "L = 38.620939, acc = 0.865000\n", - "L = 38.617214, acc = 0.865000\n", - "L = 38.613534, acc = 0.865000\n", - "L = 38.609898, acc = 0.865000\n", - "L = 38.606306, acc = 0.865000\n", - "L = 38.602757, acc = 0.865000\n", - "L = 38.599250, acc = 0.865000\n", - "L = 38.595783, acc = 0.865000\n", - "L = 38.592358, acc = 0.865000\n", - "L = 38.588971, acc = 0.865000\n", - "L = 38.585624, acc = 0.865000\n", - "L = 38.582315, acc = 0.865000\n", - "L = 38.579043, acc = 0.865000\n", - "L = 38.575809, acc = 0.865000\n", - "L = 38.572610, acc = 0.865000\n", - "L = 38.569447, acc = 0.865000\n", - "L = 38.566319, acc = 0.865000\n", - "L = 38.563225, acc = 0.865000\n", - "L = 38.560165, acc = 0.865000\n", - "L = 38.557137, acc = 0.865000\n", - "L = 38.554142, acc = 0.865000\n", - "L = 38.551178, acc = 0.865000\n", - "L = 38.548246, acc = 0.865000\n", - "L = 38.545344, acc = 0.865000\n", - "L = 38.542473, acc = 0.865000\n", - "L = 38.539631, acc = 0.865000\n", - "L = 38.536817, acc = 0.865000\n", - "L = 38.534032, acc = 0.865000\n", - "L = 38.531275, acc = 0.865000\n", - "L = 38.528546, acc = 0.865000\n", - "L = 38.525843, acc = 0.865000\n", - "L = 38.523166, acc = 0.865000\n", - "L = 38.520515, acc = 0.865000\n", - "L = 38.517890, acc = 0.865000\n", - "L = 38.515289, acc = 0.865000\n", - "L = 38.512713, acc = 0.865000\n", - "L = 38.510161, acc = 0.865000\n", - "L = 38.507632, acc = 0.865000\n", - "L = 38.505126, acc = 0.865000\n", - "L = 38.502643, acc = 0.865000\n", - "L = 38.500182, acc = 0.865000\n", - "L = 38.497743, acc = 0.865000\n", - "L = 38.495325, acc = 0.865000\n", - "L = 38.492928, acc = 0.865000\n", - "L = 38.490552, acc = 0.865000\n", - "L = 38.488195, acc = 0.865000\n", - "L = 38.485859, acc = 0.865000\n", - "L = 38.483541, acc = 0.865000\n", - "L = 38.481243, acc = 0.865000\n", - "L = 38.478963, acc = 0.865000\n", - "L = 38.476702, acc = 0.865000\n", - "L = 38.474458, acc = 0.865000\n", - "L = 38.472232, acc = 0.865000\n", - "L = 38.470023, acc = 0.865000\n", - "L = 38.467830, acc = 0.865000\n", - "L = 38.465654, acc = 0.865000\n", - "L = 38.463495, acc = 0.865000\n", - "L = 38.461351, acc = 0.865000\n", - "L = 38.459222, acc = 0.865000\n", - "L = 38.457109, acc = 0.865000\n", - "L = 38.455010, acc = 0.865000\n", - "L = 38.452926, acc = 0.865000\n", - "L = 38.450856, acc = 0.865000\n", - "L = 38.448800, acc = 0.865000\n", - "L = 38.446758, acc = 0.865000\n", - "L = 38.444729, acc = 0.865000\n", - "L = 38.442713, acc = 0.865000\n", - "L = 38.440709, acc = 0.865000\n", - "L = 38.438718, acc = 0.865000\n", - "L = 38.436739, acc = 0.865000\n", - "L = 38.434772, acc = 0.865000\n", - "L = 38.432817, acc = 0.865000\n", - "L = 38.430873, acc = 0.865000\n", - "L = 38.428940, acc = 0.865000\n", - "L = 38.427018, acc = 0.865000\n", - "L = 38.425106, acc = 0.865000\n", - "L = 38.423205, acc = 0.865000\n", - "L = 38.421314, acc = 0.865000\n", - "L = 38.419432, acc = 0.865000\n", - "L = 38.417561, acc = 0.865000\n", - "L = 38.415698, acc = 0.865000\n", - "L = 38.413844, acc = 0.865000\n", - "L = 38.412000, acc = 0.865000\n", - "L = 38.410164, acc = 0.865000\n", - "L = 38.408336, acc = 0.865000\n", - "L = 38.406516, acc = 0.865000\n", - "L = 38.404705, acc = 0.865000\n", - "L = 38.402901, acc = 0.865000\n", - "L = 38.401104, acc = 0.865000\n", - "L = 38.399315, acc = 0.865000\n", - "L = 38.397533, acc = 0.865000\n", - "L = 38.395757, acc = 0.865000\n", - "L = 38.393989, acc = 0.865000\n", - "L = 38.392226, acc = 0.865000\n", - "L = 38.390470, acc = 0.865000\n", - "L = 38.388720, acc = 0.865000\n", - "L = 38.386975, acc = 0.865000\n", - "L = 38.385237, acc = 0.865000\n", - "L = 38.383503, acc = 0.865000\n", - "L = 38.381775, acc = 0.865000\n", - "L = 38.380052, acc = 0.865000\n", - "L = 38.378333, acc = 0.865000\n", - "L = 38.376619, acc = 0.865000\n", - "L = 38.374910, acc = 0.865000\n", - "L = 38.373205, acc = 0.865000\n", - "L = 38.371504, acc = 0.865000\n", - "L = 38.369807, acc = 0.865000\n", - "L = 38.368113, acc = 0.865000\n", - "L = 38.366423, acc = 0.865000\n", - "L = 38.364737, acc = 0.865000\n", - "L = 38.363053, acc = 0.865000\n", - "L = 38.361373, acc = 0.865000\n", - "L = 38.359695, acc = 0.865000\n", - "L = 38.358020, acc = 0.865000\n", - "L = 38.356347, acc = 0.865000\n", - "L = 38.354677, acc = 0.865000\n", - "L = 38.353009, acc = 0.865000\n", - "L = 38.351343, acc = 0.865000\n", - "L = 38.349678, acc = 0.865000\n", - "L = 38.348015, acc = 0.865000\n", - "L = 38.346354, acc = 0.865000\n", - "L = 38.344694, acc = 0.865000\n", - "L = 38.343035, acc = 0.865000\n", - "L = 38.341377, acc = 0.865000\n", - "L = 38.339720, acc = 0.865000\n", - "L = 38.338064, acc = 0.865000\n", - "L = 38.336408, acc = 0.865000\n", - "L = 38.334752, acc = 0.865000\n", - "L = 38.333097, acc = 0.865000\n", - "L = 38.331442, acc = 0.865000\n", - "L = 38.329786, acc = 0.865000\n", - "L = 38.328131, acc = 0.865000\n", - "L = 38.326475, acc = 0.865000\n", - "L = 38.324818, acc = 0.865000\n", - "L = 38.323161, acc = 0.865000\n", - "L = 38.321502, acc = 0.865000\n", - "L = 38.319843, acc = 0.865000\n", - "L = 38.318183, acc = 0.865000\n", - "L = 38.316521, acc = 0.865000\n", - "L = 38.314858, acc = 0.865000\n", - "L = 38.313193, acc = 0.865000\n", - "L = 38.311527, acc = 0.865000\n", - "L = 38.309858, acc = 0.865000\n", - "L = 38.308188, acc = 0.865000\n", - "L = 38.306515, acc = 0.865000\n", - "L = 38.304840, acc = 0.865000\n", - "L = 38.303163, acc = 0.865000\n", - "L = 38.301483, acc = 0.865000\n", - "L = 38.299800, acc = 0.865000\n", - "L = 38.298115, acc = 0.865000\n", - "L = 38.296426, acc = 0.865000\n", - "L = 38.294734, acc = 0.865000\n", - "L = 38.293039, acc = 0.865000\n", - "L = 38.291341, acc = 0.865000\n", - "L = 38.289639, acc = 0.865000\n", - "L = 38.287933, acc = 0.865000\n", - "L = 38.286224, acc = 0.865000\n", - "L = 38.284510, acc = 0.865000\n", - "L = 38.282792, acc = 0.865000\n", - "L = 38.281070, acc = 0.865000\n", - "L = 38.279344, acc = 0.865000\n", - "L = 38.277613, acc = 0.865000\n", - "L = 38.275878, acc = 0.865000\n", - "L = 38.274137, acc = 0.865000\n", - "L = 38.272392, acc = 0.865000\n", - "L = 38.270642, acc = 0.865000\n", - "L = 38.268886, acc = 0.865000\n", - "L = 38.267126, acc = 0.865000\n", - "L = 38.265359, acc = 0.865000\n", - "L = 38.263587, acc = 0.865000\n", - "L = 38.261810, acc = 0.865000\n", - "L = 38.260026, acc = 0.865000\n", - "L = 38.258237, acc = 0.865000\n", - "L = 38.256441, acc = 0.865000\n", - "L = 38.254639, acc = 0.865000\n", - "L = 38.252831, acc = 0.865000\n", - "L = 38.251016, acc = 0.865000\n", - "L = 38.249195, acc = 0.865000\n", - "L = 38.247367, acc = 0.865000\n", - "L = 38.245532, acc = 0.865000\n", - "L = 38.243690, acc = 0.865000\n", - "L = 38.241840, acc = 0.865000\n", - "L = 38.239984, acc = 0.865000\n", - "L = 38.238120, acc = 0.865000\n", - "L = 38.236248, acc = 0.865000\n", - "L = 38.234369, acc = 0.865000\n", - "L = 38.232482, acc = 0.865000\n", - "L = 38.230587, acc = 0.865000\n", - "L = 38.228683, acc = 0.865000\n", - "L = 38.226772, acc = 0.865000\n", - "L = 38.224852, acc = 0.865000\n", - "L = 38.222924, acc = 0.865000\n", - "L = 38.220987, acc = 0.865000\n", - "L = 38.219042, acc = 0.865000\n", - "L = 38.217087, acc = 0.865000\n", - "L = 38.215124, acc = 0.865000\n", - "L = 38.213151, acc = 0.865000\n", - "L = 38.211170, acc = 0.865000\n", - "L = 38.209178, acc = 0.865000\n", - "L = 38.207178, acc = 0.865000\n", - "L = 38.205167, acc = 0.865000\n", - "L = 38.203147, acc = 0.865000\n", - "L = 38.201117, acc = 0.865000\n", - "L = 38.199078, acc = 0.865000\n", - "L = 38.197027, acc = 0.865000\n", - "L = 38.194967, acc = 0.865000\n", - "L = 38.192896, acc = 0.865000\n", - "L = 38.190815, acc = 0.865000\n", - "L = 38.188723, acc = 0.865000\n", - "L = 38.186620, acc = 0.865000\n", - "L = 38.184506, acc = 0.865000\n", - "L = 38.182382, acc = 0.865000\n", - "L = 38.180246, acc = 0.865000\n", - "L = 38.178099, acc = 0.865000\n", - "L = 38.175940, acc = 0.865000\n", - "L = 38.173770, acc = 0.865000\n", - "L = 38.171588, acc = 0.865000\n", - "L = 38.169394, acc = 0.865000\n", - "L = 38.167189, acc = 0.865000\n", - "L = 38.164971, acc = 0.865000\n", - "L = 38.162741, acc = 0.865000\n", - "L = 38.160499, acc = 0.865000\n", - "L = 38.158244, acc = 0.865000\n", - "L = 38.155977, acc = 0.865000\n", - "L = 38.153697, acc = 0.865000\n", - "L = 38.151404, acc = 0.865000\n", - "L = 38.149099, acc = 0.865000\n", - "L = 38.146780, acc = 0.865000\n", - "L = 38.144448, acc = 0.865000\n", - "L = 38.142103, acc = 0.865000\n", - "L = 38.139744, acc = 0.865000\n", - "L = 38.137372, acc = 0.865000\n", - "L = 38.134986, acc = 0.865000\n", - "L = 38.132586, acc = 0.865000\n", - "L = 38.130172, acc = 0.865000\n", - "L = 38.127744, acc = 0.865000\n", - "L = 38.125302, acc = 0.865000\n", - "L = 38.122846, acc = 0.865000\n", - "L = 38.120375, acc = 0.865000\n", - "L = 38.117890, acc = 0.865000\n", - "L = 38.115390, acc = 0.865000\n", - "L = 38.112875, acc = 0.865000\n", - "L = 38.110345, acc = 0.865000\n", - "L = 38.107800, acc = 0.865000\n", - "L = 38.105240, acc = 0.865000\n", - "L = 38.102664, acc = 0.865000\n", - "L = 38.100074, acc = 0.865000\n", - "L = 38.097467, acc = 0.865000\n", - "L = 38.094845, acc = 0.865000\n", - "L = 38.092207, acc = 0.865000\n", - "L = 38.089554, acc = 0.865000\n", - "L = 38.086884, acc = 0.865000\n", - "L = 38.084198, acc = 0.865000\n", - "L = 38.081496, acc = 0.865000\n", - "L = 38.078777, acc = 0.865000\n", - "L = 38.076042, acc = 0.865000\n", - "L = 38.073290, acc = 0.865000\n", - "L = 38.070522, acc = 0.865000\n", - "L = 38.067736, acc = 0.865000\n", - "L = 38.064934, acc = 0.865000\n", - "L = 38.062114, acc = 0.865000\n", - "L = 38.059278, acc = 0.865000\n", - "L = 38.056424, acc = 0.865000\n", - "L = 38.053552, acc = 0.865000\n", - "L = 38.050663, acc = 0.865000\n", - "L = 38.047756, acc = 0.865000\n", - "L = 38.044832, acc = 0.865000\n", - "L = 38.041889, acc = 0.865000\n", - "L = 38.038929, acc = 0.865000\n", - "L = 38.035950, acc = 0.865000\n", - "L = 38.032953, acc = 0.865000\n", - "L = 38.029938, acc = 0.865000\n", - "L = 38.026904, acc = 0.865000\n", - "L = 38.023851, acc = 0.865000\n", - "L = 38.020780, acc = 0.865000\n", - "L = 38.017690, acc = 0.865000\n", - "L = 38.014581, acc = 0.865000\n", - "L = 38.011453, acc = 0.865000\n", - "L = 38.008306, acc = 0.865000\n", - "L = 38.005139, acc = 0.865000\n", - "L = 38.001954, acc = 0.865000\n", - "L = 37.998748, acc = 0.865000\n", - "L = 37.995523, acc = 0.865000\n", - "L = 37.992279, acc = 0.865000\n", - "L = 37.989014, acc = 0.865000\n", - "L = 37.985729, acc = 0.865000\n", - "L = 37.982425, acc = 0.865000\n", - "L = 37.979100, acc = 0.865000\n", - "L = 37.975755, acc = 0.865000\n", - "L = 37.972390, acc = 0.865000\n", - "L = 37.969004, acc = 0.865000\n", - "L = 37.965598, acc = 0.865000\n", - "L = 37.962170, acc = 0.865000\n", - "L = 37.958722, acc = 0.865000\n", - "L = 37.955253, acc = 0.865000\n", - "L = 37.951764, acc = 0.865000\n", - "L = 37.948253, acc = 0.865000\n", - "L = 37.944720, acc = 0.865000\n", - "L = 37.941167, acc = 0.865000\n", - "L = 37.937591, acc = 0.865000\n", - "L = 37.933995, acc = 0.865000\n", - "L = 37.930376, acc = 0.865000\n", - "L = 37.926736, acc = 0.865000\n", - "L = 37.923074, acc = 0.865000\n", - "L = 37.919390, acc = 0.865000\n", - "L = 37.915684, acc = 0.865000\n", - "L = 37.911956, acc = 0.865000\n", - "L = 37.908205, acc = 0.865000\n", - "L = 37.904432, acc = 0.865000\n", - "L = 37.900637, acc = 0.865000\n", - "L = 37.896819, acc = 0.865000\n", - "L = 37.892978, acc = 0.865000\n", - "L = 37.889114, acc = 0.865000\n", - "L = 37.885228, acc = 0.865000\n", - "L = 37.881318, acc = 0.865000\n", - "L = 37.877385, acc = 0.865000\n", - "L = 37.873429, acc = 0.865000\n", - "L = 37.869449, acc = 0.865000\n", - "L = 37.865446, acc = 0.865000\n", - "L = 37.861420, acc = 0.865000\n", - "L = 37.857369, acc = 0.865000\n", - "L = 37.853295, acc = 0.865000\n", - "L = 37.849197, acc = 0.865000\n", - "L = 37.845075, acc = 0.865000\n", - "L = 37.840929, acc = 0.865000\n", - "L = 37.836759, acc = 0.865000\n", - "L = 37.832564, acc = 0.865000\n", - "L = 37.828344, acc = 0.865000\n", - "L = 37.824101, acc = 0.865000\n", - "L = 37.819832, acc = 0.865000\n", - "L = 37.815539, acc = 0.865000\n", - "L = 37.811220, acc = 0.865000\n", - "L = 37.806877, acc = 0.865000\n", - "L = 37.802508, acc = 0.865000\n", - "L = 37.798114, acc = 0.865000\n", - "L = 37.793695, acc = 0.865000\n", - "L = 37.789250, acc = 0.865000\n", - "L = 37.784780, acc = 0.865000\n", - "L = 37.780283, acc = 0.865000\n", - "L = 37.775761, acc = 0.865000\n", - "L = 37.771213, acc = 0.865000\n", - "L = 37.766639, acc = 0.865000\n", - "L = 37.762038, acc = 0.865000\n", - "L = 37.757411, acc = 0.865000\n", - "L = 37.752758, acc = 0.865000\n", - "L = 37.748078, acc = 0.865000\n", - "L = 37.743371, acc = 0.865000\n", - "L = 37.738637, acc = 0.865000\n", - "L = 37.733876, acc = 0.865000\n", - "L = 37.729088, acc = 0.865000\n", - "L = 37.724272, acc = 0.865000\n", - "L = 37.719429, acc = 0.865000\n", - "L = 37.714559, acc = 0.865000\n", - "L = 37.709660, acc = 0.865000\n", - "L = 37.704734, acc = 0.865000\n", - "L = 37.699780, acc = 0.865000\n", - "L = 37.694797, acc = 0.865000\n", - "L = 37.689786, acc = 0.865000\n", - "L = 37.684747, acc = 0.865000\n", - "L = 37.679679, acc = 0.865000\n", - "L = 37.674582, acc = 0.865000\n", - "L = 37.669456, acc = 0.865000\n", - "L = 37.664301, acc = 0.865000\n", - "L = 37.659117, acc = 0.865000\n", - "L = 37.653903, acc = 0.865000\n", - "L = 37.648659, acc = 0.865000\n", - "L = 37.643386, acc = 0.865000\n", - "L = 37.638083, acc = 0.865000\n", - "L = 37.632749, acc = 0.865000\n", - "L = 37.627386, acc = 0.865000\n", - "L = 37.621991, acc = 0.865000\n", - "L = 37.616566, acc = 0.865000\n", - "L = 37.611111, acc = 0.865000\n", - "L = 37.605624, acc = 0.865000\n", - "L = 37.600106, acc = 0.865000\n", - "L = 37.594556, acc = 0.865000\n", - "L = 37.588975, acc = 0.865000\n", - "L = 37.583361, acc = 0.865000\n", - "L = 37.577716, acc = 0.865000\n", - "L = 37.572039, acc = 0.865000\n", - "L = 37.566329, acc = 0.865000\n", - "L = 37.560586, acc = 0.865000\n", - "L = 37.554811, acc = 0.865000\n", - "L = 37.549002, acc = 0.865000\n", - "L = 37.543160, acc = 0.865000\n", - "L = 37.537284, acc = 0.865000\n", - "L = 37.531375, acc = 0.865000\n", - "L = 37.525432, acc = 0.865000\n", - "L = 37.519454, acc = 0.865000\n", - "L = 37.513442, acc = 0.865000\n", - "L = 37.507396, acc = 0.870000\n", - "L = 37.501314, acc = 0.870000\n", - "L = 37.495197, acc = 0.870000\n", - "L = 37.489045, acc = 0.870000\n", - "L = 37.482856, acc = 0.870000\n", - "L = 37.476632, acc = 0.870000\n", - "L = 37.470372, acc = 0.870000\n", - "L = 37.464075, acc = 0.870000\n", - "L = 37.457742, acc = 0.870000\n", - "L = 37.451371, acc = 0.870000\n", - "L = 37.444964, acc = 0.870000\n", - "L = 37.438518, acc = 0.870000\n", - "L = 37.432035, acc = 0.870000\n", - "L = 37.425514, acc = 0.870000\n", - "L = 37.418954, acc = 0.870000\n", - "L = 37.412355, acc = 0.870000\n", - "L = 37.405718, acc = 0.870000\n", - "L = 37.399041, acc = 0.870000\n", - "L = 37.392325, acc = 0.870000\n", - "L = 37.385568, acc = 0.865000\n", - "L = 37.378772, acc = 0.865000\n", - "L = 37.371935, acc = 0.865000\n", - "L = 37.365057, acc = 0.865000\n", - "L = 37.358138, acc = 0.865000\n", - "L = 37.351177, acc = 0.865000\n", - "L = 37.344175, acc = 0.865000\n", - "L = 37.337130, acc = 0.865000\n", - "L = 37.330043, acc = 0.865000\n", - "L = 37.322913, acc = 0.865000\n", - "L = 37.315740, acc = 0.865000\n", - "L = 37.308524, acc = 0.865000\n", - "L = 37.301263, acc = 0.865000\n", - "L = 37.293959, acc = 0.865000\n", - "L = 37.286609, acc = 0.865000\n", - "L = 37.279215, acc = 0.865000\n", - "L = 37.271776, acc = 0.865000\n", - "L = 37.264291, acc = 0.865000\n", - "L = 37.256760, acc = 0.865000\n", - "L = 37.249183, acc = 0.865000\n", - "L = 37.241559, acc = 0.865000\n", - "L = 37.233887, acc = 0.865000\n", - "L = 37.226168, acc = 0.865000\n", - "L = 37.218402, acc = 0.865000\n", - "L = 37.210587, acc = 0.865000\n", - "L = 37.202723, acc = 0.865000\n", - "L = 37.194810, acc = 0.865000\n", - "L = 37.186848, acc = 0.865000\n", - "L = 37.178835, acc = 0.865000\n", - "L = 37.170773, acc = 0.865000\n", - "L = 37.162659, acc = 0.865000\n", - "L = 37.154495, acc = 0.865000\n", - "L = 37.146279, acc = 0.865000\n", - "L = 37.138011, acc = 0.865000\n", - "L = 37.129691, acc = 0.865000\n", - "L = 37.121318, acc = 0.865000\n", - "L = 37.112892, acc = 0.865000\n", - "L = 37.104412, acc = 0.865000\n", - "L = 37.095878, acc = 0.865000\n", - "L = 37.087289, acc = 0.865000\n", - "L = 37.078646, acc = 0.865000\n", - "L = 37.069947, acc = 0.865000\n", - "L = 37.061192, acc = 0.865000\n", - "L = 37.052381, acc = 0.865000\n", - "L = 37.043513, acc = 0.865000\n", - "L = 37.034588, acc = 0.865000\n", - "L = 37.025606, acc = 0.865000\n", - "L = 37.016565, acc = 0.865000\n", - "L = 37.007466, acc = 0.865000\n", - "L = 36.998308, acc = 0.865000\n", - "L = 36.989090, acc = 0.865000\n", - "L = 36.979813, acc = 0.865000\n", - "L = 36.970475, acc = 0.865000\n", - "L = 36.961076, acc = 0.865000\n", - "L = 36.951616, acc = 0.865000\n", - "L = 36.942094, acc = 0.865000\n", - "L = 36.932510, acc = 0.865000\n", - "L = 36.922864, acc = 0.865000\n", - "L = 36.913154, acc = 0.865000\n", - "L = 36.903380, acc = 0.865000\n", - "L = 36.893542, acc = 0.865000\n", - "L = 36.883640, acc = 0.865000\n", - "L = 36.873672, acc = 0.865000\n", - "L = 36.863639, acc = 0.865000\n", - "L = 36.853540, acc = 0.865000\n", - "L = 36.843375, acc = 0.865000\n", - "L = 36.833142, acc = 0.865000\n", - "L = 36.822842, acc = 0.865000\n", - "L = 36.812474, acc = 0.865000\n", - "L = 36.802038, acc = 0.865000\n", - "L = 36.791533, acc = 0.865000\n", - "L = 36.780958, acc = 0.865000\n", - "L = 36.770314, acc = 0.865000\n", - "L = 36.759599, acc = 0.865000\n", - "L = 36.748813, acc = 0.865000\n", - "L = 36.737956, acc = 0.865000\n", - "L = 36.727028, acc = 0.865000\n", - "L = 36.716027, acc = 0.865000\n", - "L = 36.704953, acc = 0.865000\n", - "L = 36.693806, acc = 0.865000\n", - "L = 36.682585, acc = 0.865000\n", - "L = 36.671291, acc = 0.865000\n", - "L = 36.659921, acc = 0.865000\n", - "L = 36.648477, acc = 0.865000\n", - "L = 36.636957, acc = 0.865000\n", - "L = 36.625361, acc = 0.865000\n", - "L = 36.613689, acc = 0.865000\n", - "L = 36.601939, acc = 0.865000\n", - "L = 36.590112, acc = 0.865000\n", - "L = 36.578208, acc = 0.865000\n", - "L = 36.566225, acc = 0.865000\n", - "L = 36.554163, acc = 0.865000\n", - "L = 36.542022, acc = 0.870000\n", - "L = 36.529801, acc = 0.870000\n", - "L = 36.517501, acc = 0.870000\n", - "L = 36.505119, acc = 0.870000\n", - "L = 36.492657, acc = 0.870000\n", - "L = 36.480113, acc = 0.870000\n", - "L = 36.467487, acc = 0.870000\n", - "L = 36.454780, acc = 0.870000\n", - "L = 36.441989, acc = 0.870000\n", - "L = 36.429115, acc = 0.870000\n", - "L = 36.416158, acc = 0.870000\n", - "L = 36.403116, acc = 0.870000\n", - "L = 36.389990, acc = 0.870000\n", - "L = 36.376780, acc = 0.870000\n", - "L = 36.363484, acc = 0.870000\n", - "L = 36.350103, acc = 0.870000\n", - "L = 36.336635, acc = 0.870000\n", - "L = 36.323081, acc = 0.870000\n", - "L = 36.309441, acc = 0.870000\n", - "L = 36.295713, acc = 0.870000\n", - "L = 36.281898, acc = 0.870000\n", - "L = 36.267995, acc = 0.870000\n", - "L = 36.254003, acc = 0.870000\n", - "L = 36.239923, acc = 0.870000\n", - "L = 36.225754, acc = 0.870000\n", - "L = 36.211496, acc = 0.870000\n", - "L = 36.197148, acc = 0.870000\n", - "L = 36.182710, acc = 0.870000\n", - "L = 36.168182, acc = 0.870000\n", - "L = 36.153563, acc = 0.870000\n", - "L = 36.138853, acc = 0.870000\n", - "L = 36.124052, acc = 0.870000\n", - "L = 36.109160, acc = 0.870000\n", - "L = 36.094175, acc = 0.870000\n", - "L = 36.079099, acc = 0.870000\n", - "L = 36.063930, acc = 0.870000\n", - "L = 36.048668, acc = 0.870000\n", - "L = 36.033313, acc = 0.870000\n", - "L = 36.017865, acc = 0.870000\n", - "L = 36.002323, acc = 0.870000\n", - "L = 35.986688, acc = 0.870000\n", - "L = 35.970959, acc = 0.870000\n", - "L = 35.955135, acc = 0.870000\n", - "L = 35.939218, acc = 0.870000\n", - "L = 35.923205, acc = 0.870000\n", - "L = 35.907098, acc = 0.870000\n", - "L = 35.890895, acc = 0.870000\n", - "L = 35.874597, acc = 0.870000\n", - "L = 35.858204, acc = 0.870000\n", - "L = 35.841715, acc = 0.870000\n", - "L = 35.825131, acc = 0.875000\n", - "L = 35.808450, acc = 0.875000\n", - "L = 35.791674, acc = 0.875000\n", - "L = 35.774801, acc = 0.875000\n", - "L = 35.757831, acc = 0.875000\n", - "L = 35.740766, acc = 0.875000\n", - "L = 35.723603, acc = 0.875000\n", - "L = 35.706344, acc = 0.875000\n", - "L = 35.688988, acc = 0.875000\n", - "L = 35.671535, acc = 0.875000\n", - "L = 35.653986, acc = 0.875000\n", - "L = 35.636339, acc = 0.875000\n", - "L = 35.618595, acc = 0.875000\n", - "L = 35.600754, acc = 0.875000\n", - "L = 35.582815, acc = 0.875000\n", - "L = 35.564779, acc = 0.875000\n", - "L = 35.546646, acc = 0.875000\n", - "L = 35.528416, acc = 0.875000\n", - "L = 35.510088, acc = 0.875000\n", - "L = 35.491663, acc = 0.875000\n", - "L = 35.473141, acc = 0.875000\n", - "L = 35.454522, acc = 0.875000\n", - "L = 35.435805, acc = 0.880000\n", - "L = 35.416991, acc = 0.880000\n", - "L = 35.398079, acc = 0.880000\n", - "L = 35.379071, acc = 0.880000\n", - "L = 35.359966, acc = 0.880000\n", - "L = 35.340763, acc = 0.880000\n", - "L = 35.321464, acc = 0.880000\n", - "L = 35.302068, acc = 0.880000\n", - "L = 35.282575, acc = 0.880000\n", - "L = 35.262986, acc = 0.880000\n", - "L = 35.243300, acc = 0.880000\n", - "L = 35.223518, acc = 0.880000\n", - "L = 35.203640, acc = 0.880000\n", - "L = 35.183666, acc = 0.880000\n", - "L = 35.163596, acc = 0.880000\n", - "L = 35.143430, acc = 0.880000\n", - "L = 35.123168, acc = 0.880000\n", - "L = 35.102812, acc = 0.880000\n", - "L = 35.082360, acc = 0.880000\n", - "L = 35.061813, acc = 0.880000\n", - "L = 35.041172, acc = 0.880000\n", - "L = 35.020436, acc = 0.880000\n", - "L = 34.999606, acc = 0.880000\n", - "L = 34.978682, acc = 0.885000\n", - "L = 34.957664, acc = 0.885000\n", - "L = 34.936552, acc = 0.885000\n", - "L = 34.915348, acc = 0.885000\n", - "L = 34.894050, acc = 0.885000\n", - "L = 34.872660, acc = 0.885000\n", - "L = 34.851178, acc = 0.885000\n", - "L = 34.829603, acc = 0.885000\n", - "L = 34.807937, acc = 0.885000\n", - "L = 34.786179, acc = 0.885000\n", - "L = 34.764330, acc = 0.885000\n", - "L = 34.742391, acc = 0.885000\n", - "L = 34.720361, acc = 0.885000\n", - "L = 34.698241, acc = 0.885000\n", - "L = 34.676031, acc = 0.885000\n", - "L = 34.653732, acc = 0.885000\n", - "L = 34.631344, acc = 0.885000\n", - "L = 34.608868, acc = 0.885000\n", - "L = 34.586304, acc = 0.885000\n", - "L = 34.563651, acc = 0.885000\n", - "L = 34.540912, acc = 0.885000\n", - "L = 34.518085, acc = 0.885000\n", - "L = 34.495172, acc = 0.885000\n", - "L = 34.472173, acc = 0.885000\n", - "L = 34.449089, acc = 0.885000\n", - "L = 34.425919, acc = 0.885000\n", - "L = 34.402665, acc = 0.885000\n", - "L = 34.379326, acc = 0.885000\n", - "L = 34.355904, acc = 0.885000\n", - "L = 34.332398, acc = 0.885000\n", - "L = 34.308810, acc = 0.885000\n", - "L = 34.285139, acc = 0.885000\n", - "L = 34.261386, acc = 0.885000\n", - "L = 34.237552, acc = 0.885000\n", - "L = 34.213637, acc = 0.885000\n", - "L = 34.189642, acc = 0.885000\n", - "L = 34.165567, acc = 0.885000\n", - "L = 34.141413, acc = 0.885000\n", - "L = 34.117180, acc = 0.885000\n", - "L = 34.092869, acc = 0.885000\n", - "L = 34.068481, acc = 0.885000\n", - "L = 34.044015, acc = 0.885000\n", - "L = 34.019472, acc = 0.885000\n", - "L = 33.994854, acc = 0.885000\n", - "L = 33.970160, acc = 0.885000\n", - "L = 33.945392, acc = 0.890000\n", - "L = 33.920549, acc = 0.890000\n", - "L = 33.895632, acc = 0.890000\n", - "L = 33.870642, acc = 0.890000\n", - "L = 33.845580, acc = 0.890000\n", - "L = 33.820446, acc = 0.890000\n", - "L = 33.795240, acc = 0.890000\n", - "L = 33.769964, acc = 0.890000\n", - "L = 33.744617, acc = 0.890000\n", - "L = 33.719201, acc = 0.890000\n", - "L = 33.693716, acc = 0.890000\n", - "L = 33.668162, acc = 0.890000\n", - "L = 33.642541, acc = 0.890000\n", - "L = 33.616852, acc = 0.890000\n", - "L = 33.591098, acc = 0.890000\n", - "L = 33.565277, acc = 0.890000\n", - "L = 33.539391, acc = 0.890000\n", - "L = 33.513440, acc = 0.890000\n", - "L = 33.487426, acc = 0.890000\n", - "L = 33.461348, acc = 0.890000\n", - "L = 33.435207, acc = 0.890000\n", - "L = 33.409004, acc = 0.890000\n", - "L = 33.382740, acc = 0.890000\n", - "L = 33.356415, acc = 0.890000\n", - "L = 33.330030, acc = 0.890000\n", - "L = 33.303586, acc = 0.890000\n", - "L = 33.277082, acc = 0.890000\n", - "L = 33.250521, acc = 0.890000\n", - "L = 33.223901, acc = 0.890000\n", - "L = 33.197225, acc = 0.890000\n", - "L = 33.170493, acc = 0.890000\n", - "L = 33.143705, acc = 0.890000\n", - "L = 33.116862, acc = 0.890000\n", - "L = 33.089964, acc = 0.890000\n", - "L = 33.063013, acc = 0.890000\n", - "L = 33.036009, acc = 0.890000\n", - "L = 33.008953, acc = 0.890000\n", - "L = 32.981845, acc = 0.890000\n", - "L = 32.954686, acc = 0.890000\n", - "L = 32.927477, acc = 0.890000\n", - "L = 32.900218, acc = 0.890000\n", - "L = 32.872910, acc = 0.890000\n", - "L = 32.845553, acc = 0.890000\n", - "L = 32.818149, acc = 0.890000\n", - "L = 32.790697, acc = 0.890000\n", - "L = 32.763199, acc = 0.890000\n", - "L = 32.735656, acc = 0.890000\n", - "L = 32.708067, acc = 0.890000\n", - "L = 32.680434, acc = 0.890000\n", - "L = 32.652757, acc = 0.890000\n", - "L = 32.625036, acc = 0.890000\n", - "L = 32.597273, acc = 0.890000\n", - "L = 32.569468, acc = 0.890000\n", - "L = 32.541622, acc = 0.890000\n", - "L = 32.513736, acc = 0.890000\n", - "L = 32.485809, acc = 0.890000\n", - "L = 32.457843, acc = 0.890000\n", - "L = 32.429838, acc = 0.890000\n", - "L = 32.401796, acc = 0.890000\n", - "L = 32.373715, acc = 0.890000\n", - "L = 32.345598, acc = 0.890000\n", - "L = 32.317445, acc = 0.890000\n", - "L = 32.289257, acc = 0.890000\n", - "L = 32.261033, acc = 0.890000\n", - "L = 32.232775, acc = 0.890000\n", - "L = 32.204484, acc = 0.890000\n", - "L = 32.176159, acc = 0.890000\n", - "L = 32.147802, acc = 0.890000\n", - "L = 32.119413, acc = 0.890000\n", - "L = 32.090993, acc = 0.890000\n", - "L = 32.062542, acc = 0.890000\n", - "L = 32.034062, acc = 0.890000\n", - "L = 32.005552, acc = 0.890000\n", - "L = 31.977013, acc = 0.890000\n", - "L = 31.948446, acc = 0.890000\n", - "L = 31.919852, acc = 0.890000\n", - "L = 31.891230, acc = 0.890000\n", - "L = 31.862582, acc = 0.890000\n", - "L = 31.833908, acc = 0.890000\n", - "L = 31.805209, acc = 0.890000\n", - "L = 31.776486, acc = 0.895000\n", - "L = 31.747738, acc = 0.895000\n", - "L = 31.718967, acc = 0.895000\n", - "L = 31.690173, acc = 0.895000\n", - "L = 31.661356, acc = 0.895000\n", - "L = 31.632518, acc = 0.895000\n", - "L = 31.603659, acc = 0.895000\n", - "L = 31.574779, acc = 0.895000\n", - "L = 31.545878, acc = 0.895000\n", - "L = 31.516959, acc = 0.895000\n", - "L = 31.488020, acc = 0.895000\n", - "L = 31.459062, acc = 0.895000\n", - "L = 31.430087, acc = 0.895000\n", - "L = 31.401095, acc = 0.895000\n", - "L = 31.372085, acc = 0.895000\n", - "L = 31.343059, acc = 0.895000\n", - "L = 31.314018, acc = 0.900000\n", - "L = 31.284961, acc = 0.900000\n", - "L = 31.255889, acc = 0.900000\n", - "L = 31.226803, acc = 0.900000\n", - "L = 31.197704, acc = 0.900000\n", - "L = 31.168591, acc = 0.900000\n", - "L = 31.139466, acc = 0.900000\n", - "L = 31.110328, acc = 0.900000\n", - "L = 31.081178, acc = 0.900000\n", - "L = 31.052018, acc = 0.900000\n", - "L = 31.022847, acc = 0.900000\n", - "L = 30.993665, acc = 0.900000\n", - "L = 30.964474, acc = 0.900000\n", - "L = 30.935273, acc = 0.900000\n", - "L = 30.906064, acc = 0.900000\n", - "L = 30.876846, acc = 0.900000\n", - "L = 30.847620, acc = 0.900000\n", - "L = 30.818387, acc = 0.900000\n", - "L = 30.789148, acc = 0.900000\n", - "L = 30.759901, acc = 0.900000\n", - "L = 30.730649, acc = 0.900000\n", - "L = 30.701391, acc = 0.900000\n", - "L = 30.672128, acc = 0.900000\n", - "L = 30.642860, acc = 0.900000\n", - "L = 30.613588, acc = 0.900000\n", - "L = 30.584312, acc = 0.900000\n", - "L = 30.555033, acc = 0.905000\n", - "L = 30.525751, acc = 0.905000\n", - "L = 30.496466, acc = 0.905000\n", - "L = 30.467180, acc = 0.905000\n", - "L = 30.437891, acc = 0.905000\n", - "L = 30.408601, acc = 0.905000\n", - "L = 30.379311, acc = 0.905000\n", - "L = 30.350020, acc = 0.905000\n", - "L = 30.320729, acc = 0.905000\n", - "L = 30.291438, acc = 0.905000\n", - "L = 30.262148, acc = 0.905000\n", - "L = 30.232859, acc = 0.905000\n", - "L = 30.203571, acc = 0.905000\n", - "L = 30.174285, acc = 0.905000\n", - "L = 30.145002, acc = 0.905000\n", - "L = 30.115721, acc = 0.910000\n", - "L = 30.086443, acc = 0.910000\n", - "L = 30.057169, acc = 0.910000\n", - "L = 30.027898, acc = 0.910000\n", - "L = 29.998632, acc = 0.910000\n", - "L = 29.969370, acc = 0.910000\n", - "L = 29.940112, acc = 0.910000\n", - "L = 29.910860, acc = 0.910000\n", - "L = 29.881613, acc = 0.910000\n", - "L = 29.852372, acc = 0.910000\n", - "L = 29.823137, acc = 0.910000\n", - "L = 29.793909, acc = 0.910000\n", - "L = 29.764688, acc = 0.910000\n", - "L = 29.735473, acc = 0.910000\n", - "L = 29.706266, acc = 0.910000\n", - "L = 29.677067, acc = 0.910000\n", - "L = 29.647876, acc = 0.910000\n", - "L = 29.618694, acc = 0.910000\n", - "L = 29.589520, acc = 0.910000\n", - "L = 29.560355, acc = 0.910000\n", - "L = 29.531200, acc = 0.910000\n", - "L = 29.502054, acc = 0.910000\n", - "L = 29.472918, acc = 0.910000\n", - "L = 29.443792, acc = 0.910000\n", - "L = 29.414677, acc = 0.910000\n", - "L = 29.385573, acc = 0.910000\n", - "L = 29.356479, acc = 0.910000\n", - "L = 29.327397, acc = 0.910000\n", - "L = 29.298327, acc = 0.910000\n", - "L = 29.269269, acc = 0.910000\n", - "L = 29.240222, acc = 0.910000\n", - "L = 29.211189, acc = 0.910000\n", - "L = 29.182167, acc = 0.915000\n", - "L = 29.153159, acc = 0.915000\n", - "L = 29.124164, acc = 0.915000\n", - "L = 29.095183, acc = 0.915000\n", - "L = 29.066215, acc = 0.915000\n", - "L = 29.037261, acc = 0.915000\n", - "L = 29.008321, acc = 0.915000\n", - "L = 28.979396, acc = 0.915000\n", - "L = 28.950485, acc = 0.915000\n", - "L = 28.921590, acc = 0.915000\n", - "L = 28.892709, acc = 0.915000\n", - "L = 28.863844, acc = 0.915000\n", - "L = 28.834994, acc = 0.915000\n", - "L = 28.806161, acc = 0.915000\n", - "L = 28.777343, acc = 0.915000\n", - "L = 28.748541, acc = 0.915000\n", - "L = 28.719756, acc = 0.915000\n", - "L = 28.690988, acc = 0.915000\n", - "L = 28.662236, acc = 0.915000\n", - "L = 28.633502, acc = 0.915000\n", - "L = 28.604784, acc = 0.915000\n", - "L = 28.576085, acc = 0.915000\n", - "L = 28.547403, acc = 0.915000\n", - "L = 28.518738, acc = 0.915000\n", - "L = 28.490092, acc = 0.915000\n", - "L = 28.461464, acc = 0.915000\n", - "L = 28.432854, acc = 0.915000\n", - "L = 28.404263, acc = 0.915000\n", - "L = 28.375691, acc = 0.915000\n", - "L = 28.347138, acc = 0.915000\n", - "L = 28.318604, acc = 0.915000\n", - "L = 28.290089, acc = 0.915000\n", - "L = 28.261594, acc = 0.915000\n", - "L = 28.233118, acc = 0.915000\n", - "L = 28.204662, acc = 0.915000\n", - "L = 28.176226, acc = 0.915000\n", - "L = 28.147810, acc = 0.915000\n", - "L = 28.119415, acc = 0.915000\n", - "L = 28.091039, acc = 0.915000\n", - "L = 28.062685, acc = 0.915000\n", - "L = 28.034351, acc = 0.915000\n", - "L = 28.006038, acc = 0.915000\n", - "L = 27.977746, acc = 0.915000\n", - "L = 27.949475, acc = 0.915000\n", - "L = 27.921225, acc = 0.915000\n", - "L = 27.892997, acc = 0.915000\n", - "L = 27.864791, acc = 0.915000\n", - "L = 27.836606, acc = 0.915000\n", - "L = 27.808443, acc = 0.915000\n", - "L = 27.780302, acc = 0.915000\n", - "L = 27.752183, acc = 0.915000\n", - "L = 27.724086, acc = 0.915000\n", - "L = 27.696011, acc = 0.915000\n", - "L = 27.667960, acc = 0.915000\n", - "L = 27.639930, acc = 0.915000\n", - "L = 27.611923, acc = 0.915000\n", - "L = 27.583939, acc = 0.915000\n", - "L = 27.555978, acc = 0.915000\n", - "L = 27.528040, acc = 0.915000\n", - "L = 27.500125, acc = 0.915000\n", - "L = 27.472234, acc = 0.915000\n", - "L = 27.444365, acc = 0.915000\n", - "L = 27.416521, acc = 0.915000\n", - "L = 27.388699, acc = 0.915000\n", - "L = 27.360902, acc = 0.915000\n", - "L = 27.333128, acc = 0.915000\n", - "L = 27.305378, acc = 0.915000\n", - "L = 27.277651, acc = 0.915000\n", - "L = 27.249949, acc = 0.915000\n", - "L = 27.222271, acc = 0.915000\n", - "L = 27.194617, acc = 0.915000\n", - "L = 27.166988, acc = 0.915000\n", - "L = 27.139383, acc = 0.915000\n", - "L = 27.111802, acc = 0.915000\n", - "L = 27.084246, acc = 0.915000\n", - "L = 27.056714, acc = 0.915000\n", - "L = 27.029207, acc = 0.915000\n", - "L = 27.001725, acc = 0.915000\n", - "L = 26.974268, acc = 0.915000\n", - "L = 26.946836, acc = 0.915000\n", - "L = 26.919428, acc = 0.915000\n", - "L = 26.892046, acc = 0.915000\n", - "L = 26.864689, acc = 0.915000\n", - "L = 26.837357, acc = 0.920000\n", - "L = 26.810050, acc = 0.920000\n", - "L = 26.782769, acc = 0.920000\n", - "L = 26.755513, acc = 0.920000\n", - "L = 26.728283, acc = 0.920000\n", - "L = 26.701078, acc = 0.920000\n", - "L = 26.673898, acc = 0.920000\n", - "L = 26.646745, acc = 0.920000\n", - "L = 26.619617, acc = 0.920000\n", - "L = 26.592515, acc = 0.920000\n", - "L = 26.565438, acc = 0.920000\n", - "L = 26.538388, acc = 0.925000\n", - "L = 26.511363, acc = 0.925000\n", - "L = 26.484365, acc = 0.925000\n", - "L = 26.457392, acc = 0.925000\n", - "L = 26.430446, acc = 0.925000\n", - "L = 26.403525, acc = 0.925000\n", - "L = 26.376631, acc = 0.925000\n", - "L = 26.349763, acc = 0.925000\n", - "L = 26.322922, acc = 0.925000\n", - "L = 26.296106, acc = 0.925000\n", - "L = 26.269317, acc = 0.925000\n", - "L = 26.242555, acc = 0.925000\n", - "L = 26.215819, acc = 0.925000\n", - "L = 26.189109, acc = 0.925000\n", - "L = 26.162426, acc = 0.925000\n", - "L = 26.135770, acc = 0.925000\n", - "L = 26.109140, acc = 0.925000\n", - "L = 26.082537, acc = 0.925000\n", - "L = 26.055960, acc = 0.925000\n", - "L = 26.029411, acc = 0.925000\n", - "L = 26.002888, acc = 0.925000\n", - "L = 25.976392, acc = 0.925000\n", - "L = 25.949922, acc = 0.925000\n", - "L = 25.923480, acc = 0.925000\n", - "L = 25.897064, acc = 0.925000\n", - "L = 25.870676, acc = 0.925000\n", - "L = 25.844314, acc = 0.925000\n", - "L = 25.817979, acc = 0.925000\n", - "L = 25.791672, acc = 0.925000\n", - "L = 25.765391, acc = 0.925000\n", - "L = 25.739137, acc = 0.925000\n", - "L = 25.712911, acc = 0.930000\n", - "L = 25.686712, acc = 0.935000\n", - "L = 25.660540, acc = 0.935000\n", - "L = 25.634395, acc = 0.935000\n", - "L = 25.608277, acc = 0.935000\n", - "L = 25.582187, acc = 0.935000\n", - "L = 25.556124, acc = 0.935000\n", - "L = 25.530088, acc = 0.935000\n", - "L = 25.504079, acc = 0.935000\n", - "L = 25.478098, acc = 0.935000\n", - "L = 25.452144, acc = 0.935000\n", - "L = 25.426218, acc = 0.935000\n", - "L = 25.400319, acc = 0.935000\n", - "L = 25.374448, acc = 0.935000\n", - "L = 25.348604, acc = 0.935000\n", - "L = 25.322787, acc = 0.935000\n", - "L = 25.296998, acc = 0.935000\n", - "L = 25.271237, acc = 0.935000\n", - "L = 25.245503, acc = 0.935000\n", - "L = 25.219796, acc = 0.935000\n", - "L = 25.194118, acc = 0.935000\n", - "L = 25.168466, acc = 0.935000\n", - "L = 25.142843, acc = 0.935000\n", - "L = 25.117247, acc = 0.935000\n", - "L = 25.091679, acc = 0.935000\n", - "L = 25.066138, acc = 0.935000\n", - "L = 25.040626, acc = 0.935000\n", - "L = 25.015141, acc = 0.935000\n", - "L = 24.989683, acc = 0.935000\n", - "L = 24.964254, acc = 0.935000\n", - "L = 24.938852, acc = 0.935000\n", - "L = 24.913478, acc = 0.935000\n", - "L = 24.888132, acc = 0.935000\n", - "L = 24.862814, acc = 0.935000\n", - "L = 24.837523, acc = 0.935000\n", - "L = 24.812261, acc = 0.935000\n", - "L = 24.787026, acc = 0.935000\n", - "L = 24.761820, acc = 0.935000\n", - "L = 24.736641, acc = 0.935000\n", - "L = 24.711490, acc = 0.935000\n", - "L = 24.686367, acc = 0.935000\n", - "L = 24.661272, acc = 0.935000\n", - "L = 24.636206, acc = 0.935000\n", - "L = 24.611167, acc = 0.935000\n", - "L = 24.586156, acc = 0.935000\n", - "L = 24.561173, acc = 0.935000\n", - "L = 24.536219, acc = 0.935000\n", - "L = 24.511292, acc = 0.935000\n", - "L = 24.486394, acc = 0.935000\n", - "L = 24.461523, acc = 0.935000\n", - "L = 24.436681, acc = 0.935000\n", - "L = 24.411867, acc = 0.935000\n", - "L = 24.387081, acc = 0.935000\n", - "L = 24.362324, acc = 0.935000\n", - "L = 24.337594, acc = 0.935000\n", - "L = 24.312893, acc = 0.935000\n", - "L = 24.288220, acc = 0.935000\n", - "L = 24.263576, acc = 0.935000\n", - "L = 24.238959, acc = 0.935000\n", - "L = 24.214371, acc = 0.935000\n", - "L = 24.189812, acc = 0.935000\n", - "L = 24.165280, acc = 0.935000\n", - "L = 24.140777, acc = 0.935000\n", - "L = 24.116303, acc = 0.935000\n", - "L = 24.091857, acc = 0.935000\n", - "L = 24.067439, acc = 0.940000\n", - "L = 24.043050, acc = 0.940000\n", - "L = 24.018689, acc = 0.940000\n", - "L = 23.994357, acc = 0.940000\n", - "L = 23.970053, acc = 0.940000\n", - "L = 23.945777, acc = 0.940000\n", - "L = 23.921531, acc = 0.940000\n", - "L = 23.897312, acc = 0.940000\n", - "L = 23.873123, acc = 0.940000\n", - "L = 23.848962, acc = 0.940000\n", - "L = 23.824830, acc = 0.940000\n", - "L = 23.800726, acc = 0.940000\n", - "L = 23.776651, acc = 0.940000\n", - "L = 23.752605, acc = 0.940000\n", - "L = 23.728587, acc = 0.940000\n", - "L = 23.704598, acc = 0.940000\n", - "L = 23.680638, acc = 0.940000\n", - "L = 23.656707, acc = 0.940000\n", - "L = 23.632804, acc = 0.940000\n", - "L = 23.608931, acc = 0.940000\n", - "L = 23.585086, acc = 0.940000\n", - "L = 23.561270, acc = 0.940000\n", - "L = 23.537483, acc = 0.940000\n", - "L = 23.513725, acc = 0.940000\n", - "L = 23.489996, acc = 0.940000\n", - "L = 23.466296, acc = 0.940000\n", - "L = 23.442625, acc = 0.940000\n", - "L = 23.418983, acc = 0.940000\n", - "L = 23.395370, acc = 0.940000\n", - "L = 23.371786, acc = 0.940000\n", - "L = 23.348231, acc = 0.940000\n", - "L = 23.324705, acc = 0.940000\n", - "L = 23.301209, acc = 0.940000\n", - "L = 23.277741, acc = 0.940000\n", - "L = 23.254303, acc = 0.940000\n", - "L = 23.230894, acc = 0.940000\n", - "L = 23.207515, acc = 0.940000\n", - "L = 23.184164, acc = 0.940000\n", - "L = 23.160843, acc = 0.940000\n", - "L = 23.137552, acc = 0.940000\n", - "L = 23.114289, acc = 0.940000\n", - "L = 23.091057, acc = 0.940000\n", - "L = 23.067853, acc = 0.940000\n", - "L = 23.044679, acc = 0.940000\n", - "L = 23.021535, acc = 0.940000\n", - "L = 22.998420, acc = 0.940000\n", - "L = 22.975335, acc = 0.940000\n", - "L = 22.952279, acc = 0.940000\n", - "L = 22.929253, acc = 0.940000\n", - "L = 22.906256, acc = 0.940000\n", - "L = 22.883289, acc = 0.940000\n", - "L = 22.860352, acc = 0.940000\n", - "L = 22.837445, acc = 0.940000\n", - "L = 22.814567, acc = 0.940000\n", - "L = 22.791719, acc = 0.940000\n", - "L = 22.768901, acc = 0.940000\n", - "L = 22.746113, acc = 0.940000\n", - "L = 22.723355, acc = 0.940000\n", - "L = 22.700627, acc = 0.940000\n", - "L = 22.677928, acc = 0.940000\n", - "L = 22.655260, acc = 0.940000\n", - "L = 22.632622, acc = 0.940000\n", - "L = 22.610014, acc = 0.940000\n", - "L = 22.587435, acc = 0.940000\n", - "L = 22.564887, acc = 0.940000\n", - "L = 22.542369, acc = 0.940000\n", - "L = 22.519882, acc = 0.940000\n", - "L = 22.497424, acc = 0.940000\n", - "L = 22.474997, acc = 0.940000\n", - "L = 22.452600, acc = 0.940000\n", - "L = 22.430234, acc = 0.940000\n", - "L = 22.407897, acc = 0.940000\n", - "L = 22.385592, acc = 0.940000\n", - "L = 22.363316, acc = 0.940000\n", - "L = 22.341071, acc = 0.940000\n", - "L = 22.318857, acc = 0.940000\n", - "L = 22.296673, acc = 0.940000\n", - "L = 22.274519, acc = 0.940000\n", - "L = 22.252397, acc = 0.940000\n", - "L = 22.230305, acc = 0.940000\n", - "L = 22.208243, acc = 0.940000\n", - "L = 22.186212, acc = 0.940000\n", - "L = 22.164212, acc = 0.940000\n", - "L = 22.142243, acc = 0.940000\n", - "L = 22.120305, acc = 0.940000\n", - "L = 22.098397, acc = 0.940000\n", - "L = 22.076521, acc = 0.945000\n", - "L = 22.054675, acc = 0.945000\n", - "L = 22.032860, acc = 0.945000\n", - "L = 22.011076, acc = 0.945000\n", - "L = 21.989323, acc = 0.945000\n", - "L = 21.967602, acc = 0.945000\n", - "L = 21.945911, acc = 0.945000\n", - "L = 21.924252, acc = 0.945000\n", - "L = 21.902623, acc = 0.945000\n", - "L = 21.881026, acc = 0.945000\n", - "L = 21.859460, acc = 0.945000\n", - "L = 21.837925, acc = 0.945000\n", - "L = 21.816422, acc = 0.945000\n", - "L = 21.794950, acc = 0.945000\n", - "L = 21.773509, acc = 0.945000\n", - "L = 21.752100, acc = 0.945000\n", - "L = 21.730722, acc = 0.945000\n", - "L = 21.709376, acc = 0.945000\n", - "L = 21.688061, acc = 0.945000\n", - "L = 21.666778, acc = 0.945000\n", - "L = 21.645526, acc = 0.945000\n", - "L = 21.624306, acc = 0.945000\n", - "L = 21.603118, acc = 0.945000\n", - "L = 21.581961, acc = 0.945000\n", - "L = 21.560836, acc = 0.945000\n", - "L = 21.539743, acc = 0.945000\n", - "L = 21.518682, acc = 0.945000\n", - "L = 21.497652, acc = 0.945000\n", - "L = 21.476654, acc = 0.945000\n", - "L = 21.455688, acc = 0.945000\n", - "L = 21.434754, acc = 0.945000\n", - "L = 21.413852, acc = 0.945000\n", - "L = 21.392982, acc = 0.945000\n", - "L = 21.372144, acc = 0.945000\n", - "L = 21.351339, acc = 0.945000\n", - "L = 21.330565, acc = 0.945000\n", - "L = 21.309823, acc = 0.945000\n", - "L = 21.289113, acc = 0.945000\n", - "L = 21.268436, acc = 0.945000\n", - "L = 21.247791, acc = 0.945000\n", - "L = 21.227178, acc = 0.945000\n", - "L = 21.206597, acc = 0.945000\n", - "L = 21.186049, acc = 0.945000\n", - "L = 21.165533, acc = 0.945000\n", - "L = 21.145049, acc = 0.945000\n", - "L = 21.124598, acc = 0.945000\n", - "L = 21.104179, acc = 0.945000\n", - "L = 21.083793, acc = 0.945000\n", - "L = 21.063439, acc = 0.945000\n", - "L = 21.043118, acc = 0.945000\n", - "L = 21.022829, acc = 0.945000\n", - "L = 21.002573, acc = 0.945000\n", - "L = 20.982349, acc = 0.945000\n", - "L = 20.962158, acc = 0.945000\n", - "L = 20.942000, acc = 0.945000\n", - "L = 20.921874, acc = 0.945000\n", - "L = 20.901781, acc = 0.945000\n", - "L = 20.881721, acc = 0.945000\n", - "L = 20.861693, acc = 0.945000\n", - "L = 20.841699, acc = 0.945000\n", - "L = 20.821737, acc = 0.945000\n", - "L = 20.801808, acc = 0.945000\n", - "L = 20.781912, acc = 0.945000\n", - "L = 20.762049, acc = 0.945000\n", - "L = 20.742218, acc = 0.945000\n", - "L = 20.722421, acc = 0.945000\n", - "L = 20.702656, acc = 0.945000\n", - "L = 20.682925, acc = 0.945000\n", - "L = 20.663227, acc = 0.945000\n", - "L = 20.643561, acc = 0.945000\n", - "L = 20.623929, acc = 0.945000\n", - "L = 20.604330, acc = 0.945000\n", - "L = 20.584763, acc = 0.945000\n", - "L = 20.565230, acc = 0.945000\n", - "L = 20.545730, acc = 0.945000\n", - "L = 20.526264, acc = 0.945000\n", - "L = 20.506830, acc = 0.945000\n", - "L = 20.487430, acc = 0.945000\n", - "L = 20.468063, acc = 0.945000\n", - "L = 20.448729, acc = 0.945000\n", - "L = 20.429428, acc = 0.945000\n", - "L = 20.410160, acc = 0.945000\n", - "L = 20.390926, acc = 0.945000\n", - "L = 20.371726, acc = 0.945000\n", - "L = 20.352558, acc = 0.945000\n", - "L = 20.333424, acc = 0.945000\n", - "L = 20.314323, acc = 0.945000\n", - "L = 20.295256, acc = 0.945000\n", - "L = 20.276221, acc = 0.945000\n", - "L = 20.257221, acc = 0.945000\n", - "L = 20.238253, acc = 0.945000\n", - "L = 20.219320, acc = 0.945000\n", - "L = 20.200419, acc = 0.945000\n", - "L = 20.181552, acc = 0.945000\n", - "L = 20.162719, acc = 0.945000\n", - "L = 20.143918, acc = 0.945000\n", - "L = 20.125152, acc = 0.945000\n", - "L = 20.106419, acc = 0.945000\n", - "L = 20.087719, acc = 0.945000\n", - "L = 20.069053, acc = 0.945000\n", - "L = 20.050420, acc = 0.945000\n", - "L = 20.031821, acc = 0.945000\n", - "L = 20.013256, acc = 0.945000\n", - "L = 19.994724, acc = 0.945000\n", - "L = 19.976225, acc = 0.945000\n", - "L = 19.957760, acc = 0.945000\n", - "L = 19.939329, acc = 0.945000\n", - "L = 19.920931, acc = 0.945000\n", - "L = 19.902567, acc = 0.945000\n", - "L = 19.884236, acc = 0.945000\n", - "L = 19.865939, acc = 0.945000\n", - "L = 19.847675, acc = 0.945000\n", - "L = 19.829445, acc = 0.945000\n", - "L = 19.811249, acc = 0.945000\n", - "L = 19.793086, acc = 0.945000\n", - "L = 19.774957, acc = 0.945000\n", - "L = 19.756861, acc = 0.945000\n", - "L = 19.738799, acc = 0.945000\n", - "L = 19.720771, acc = 0.945000\n", - "L = 19.702776, acc = 0.945000\n", - "L = 19.684815, acc = 0.945000\n", - "L = 19.666887, acc = 0.945000\n", - "L = 19.648993, acc = 0.945000\n", - "L = 19.631132, acc = 0.945000\n", - "L = 19.613305, acc = 0.945000\n", - "L = 19.595512, acc = 0.945000\n", - "L = 19.577752, acc = 0.945000\n", - "L = 19.560026, acc = 0.945000\n", - "L = 19.542333, acc = 0.945000\n", - "L = 19.524674, acc = 0.945000\n", - "L = 19.507048, acc = 0.945000\n", - "L = 19.489456, acc = 0.945000\n", - "L = 19.471897, acc = 0.945000\n", - "L = 19.454372, acc = 0.945000\n", - "L = 19.436881, acc = 0.945000\n", - "L = 19.419423, acc = 0.945000\n", - "L = 19.401998, acc = 0.945000\n", - "L = 19.384607, acc = 0.945000\n", - "L = 19.367249, acc = 0.945000\n", - "L = 19.349925, acc = 0.945000\n", - "L = 19.332634, acc = 0.945000\n", - "L = 19.315377, acc = 0.945000\n", - "L = 19.298153, acc = 0.945000\n", - "L = 19.280963, acc = 0.945000\n", - "L = 19.263806, acc = 0.945000\n", - "L = 19.246682, acc = 0.945000\n", - "L = 19.229592, acc = 0.945000\n", - "L = 19.212535, acc = 0.945000\n", - "L = 19.195511, acc = 0.945000\n", - "L = 19.178521, acc = 0.950000\n", - "L = 19.161564, acc = 0.950000\n", - "L = 19.144640, acc = 0.950000\n", - "L = 19.127749, acc = 0.950000\n", - "L = 19.110892, acc = 0.950000\n", - "L = 19.094068, acc = 0.950000\n", - "L = 19.077277, acc = 0.950000\n", - "L = 19.060520, acc = 0.950000\n", - "L = 19.043795, acc = 0.950000\n", - "L = 19.027104, acc = 0.950000\n", - "L = 19.010446, acc = 0.950000\n", - "L = 18.993821, acc = 0.950000\n", - "L = 18.977229, acc = 0.950000\n", - "L = 18.960670, acc = 0.950000\n", - "L = 18.944145, acc = 0.950000\n", - "L = 18.927652, acc = 0.950000\n", - "L = 18.911192, acc = 0.950000\n", - "L = 18.894765, acc = 0.950000\n", - "L = 18.878371, acc = 0.950000\n", - "L = 18.862010, acc = 0.950000\n", - "L = 18.845682, acc = 0.950000\n", - "L = 18.829387, acc = 0.955000\n", - "L = 18.813125, acc = 0.955000\n", - "L = 18.796895, acc = 0.955000\n", - "L = 18.780699, acc = 0.955000\n", - "L = 18.764535, acc = 0.955000\n", - "L = 18.748403, acc = 0.955000\n", - "L = 18.732305, acc = 0.955000\n", - "L = 18.716239, acc = 0.955000\n", - "L = 18.700206, acc = 0.955000\n", - "L = 18.684205, acc = 0.955000\n", - "L = 18.668237, acc = 0.955000\n", - "L = 18.652302, acc = 0.955000\n", - "L = 18.636399, acc = 0.955000\n", - "L = 18.620529, acc = 0.955000\n", - "L = 18.604691, acc = 0.955000\n", - "L = 18.588885, acc = 0.955000\n", - "L = 18.573112, acc = 0.955000\n", - "L = 18.557371, acc = 0.955000\n", - "L = 18.541663, acc = 0.955000\n", - "L = 18.525987, acc = 0.955000\n", - "L = 18.510343, acc = 0.955000\n", - "L = 18.494731, acc = 0.955000\n", - "L = 18.479152, acc = 0.955000\n", - "L = 18.463605, acc = 0.955000\n", - "L = 18.448089, acc = 0.955000\n", - "L = 18.432606, acc = 0.955000\n", - "L = 18.417155, acc = 0.955000\n", - "L = 18.401736, acc = 0.955000\n", - "L = 18.386349, acc = 0.955000\n", - "L = 18.370994, acc = 0.955000\n", - "L = 18.355671, acc = 0.955000\n", - "L = 18.340379, acc = 0.955000\n", - "L = 18.325120, acc = 0.955000\n", - "L = 18.309892, acc = 0.955000\n", - "L = 18.294696, acc = 0.955000\n", - "L = 18.279532, acc = 0.955000\n", - "L = 18.264399, acc = 0.955000\n", - "L = 18.249298, acc = 0.955000\n", - "L = 18.234228, acc = 0.955000\n", - "L = 18.219190, acc = 0.955000\n", - "L = 18.204184, acc = 0.955000\n", - "L = 18.189209, acc = 0.955000\n", - "L = 18.174265, acc = 0.955000\n", - "L = 18.159353, acc = 0.955000\n", - "L = 18.144472, acc = 0.955000\n", - "L = 18.129623, acc = 0.955000\n", - "L = 18.114804, acc = 0.955000\n", - "L = 18.100017, acc = 0.955000\n", - "L = 18.085261, acc = 0.955000\n", - "L = 18.070536, acc = 0.955000\n", - "L = 18.055842, acc = 0.955000\n", - "L = 18.041179, acc = 0.955000\n", - "L = 18.026547, acc = 0.955000\n", - "L = 18.011946, acc = 0.955000\n", - "L = 17.997376, acc = 0.955000\n", - "L = 17.982837, acc = 0.955000\n", - "L = 17.968328, acc = 0.955000\n", - "L = 17.953851, acc = 0.955000\n", - "L = 17.939403, acc = 0.955000\n", - "L = 17.924987, acc = 0.955000\n", - "L = 17.910601, acc = 0.955000\n", - "L = 17.896246, acc = 0.955000\n", - "L = 17.881921, acc = 0.955000\n", - "L = 17.867627, acc = 0.955000\n", - "L = 17.853363, acc = 0.955000\n", - "L = 17.839129, acc = 0.955000\n", - "L = 17.824926, acc = 0.955000\n", - "L = 17.810753, acc = 0.955000\n", - "L = 17.796610, acc = 0.955000\n", - "L = 17.782497, acc = 0.955000\n", - "L = 17.768415, acc = 0.955000\n", - "L = 17.754362, acc = 0.955000\n", - "L = 17.740340, acc = 0.955000\n", - "L = 17.726347, acc = 0.955000\n", - "L = 17.712384, acc = 0.955000\n", - "L = 17.698452, acc = 0.955000\n", - "L = 17.684549, acc = 0.955000\n", - "L = 17.670675, acc = 0.955000\n", - "L = 17.656832, acc = 0.955000\n", - "L = 17.643018, acc = 0.955000\n", - "L = 17.629233, acc = 0.955000\n", - "L = 17.615479, acc = 0.955000\n", - "L = 17.601753, acc = 0.955000\n", - "L = 17.588057, acc = 0.955000\n", - "L = 17.574391, acc = 0.955000\n", - "L = 17.560754, acc = 0.955000\n", - "L = 17.547146, acc = 0.955000\n", - "L = 17.533567, acc = 0.955000\n", - "L = 17.520018, acc = 0.955000\n", - "L = 17.506497, acc = 0.955000\n", - "L = 17.493006, acc = 0.955000\n", - "L = 17.479543, acc = 0.955000\n", - "L = 17.466110, acc = 0.955000\n", - "L = 17.452705, acc = 0.955000\n", - "L = 17.439330, acc = 0.955000\n", - "L = 17.425983, acc = 0.955000\n", - "L = 17.412665, acc = 0.955000\n", - "L = 17.399375, acc = 0.955000\n", - "L = 17.386114, acc = 0.955000\n", - "L = 17.372882, acc = 0.955000\n", - "L = 17.359678, acc = 0.955000\n", - "L = 17.346503, acc = 0.955000\n", - "L = 17.333356, acc = 0.955000\n", - "L = 17.320237, acc = 0.955000\n", - "L = 17.307147, acc = 0.955000\n", - "L = 17.294085, acc = 0.955000\n", - "L = 17.281051, acc = 0.955000\n", - "L = 17.268045, acc = 0.955000\n", - "L = 17.255068, acc = 0.955000\n", - "L = 17.242118, acc = 0.955000\n", - "L = 17.229196, acc = 0.955000\n", - "L = 17.216302, acc = 0.955000\n", - "L = 17.203436, acc = 0.955000\n", - "L = 17.190598, acc = 0.955000\n", - "L = 17.177787, acc = 0.955000\n", - "L = 17.165004, acc = 0.955000\n", - "L = 17.152249, acc = 0.955000\n", - "L = 17.139521, acc = 0.955000\n", - "L = 17.126821, acc = 0.955000\n", - "L = 17.114148, acc = 0.955000\n", - "L = 17.101502, acc = 0.955000\n", - "L = 17.088884, acc = 0.955000\n", - "L = 17.076293, acc = 0.955000\n", - "L = 17.063730, acc = 0.955000\n", - "L = 17.051193, acc = 0.955000\n", - "L = 17.038683, acc = 0.955000\n", - "L = 17.026201, acc = 0.955000\n", - "L = 17.013745, acc = 0.955000\n", - "L = 17.001317, acc = 0.955000\n", - "L = 16.988915, acc = 0.955000\n", - "L = 16.976540, acc = 0.955000\n", - "L = 16.964192, acc = 0.955000\n", - "L = 16.951870, acc = 0.955000\n", - "L = 16.939575, acc = 0.955000\n", - "L = 16.927307, acc = 0.955000\n", - "L = 16.915065, acc = 0.955000\n", - "L = 16.902850, acc = 0.955000\n", - "L = 16.890661, acc = 0.955000\n", - "L = 16.878498, acc = 0.955000\n", - "L = 16.866361, acc = 0.955000\n", - "L = 16.854251, acc = 0.955000\n", - "L = 16.842167, acc = 0.955000\n", - "L = 16.830109, acc = 0.955000\n", - "L = 16.818077, acc = 0.955000\n", - "L = 16.806071, acc = 0.955000\n", - "L = 16.794091, acc = 0.955000\n", - "L = 16.782136, acc = 0.955000\n", - "L = 16.770208, acc = 0.955000\n", - "L = 16.758305, acc = 0.955000\n", - "L = 16.746428, acc = 0.955000\n", - "L = 16.734576, acc = 0.955000\n", - "L = 16.722750, acc = 0.955000\n", - "L = 16.710950, acc = 0.955000\n", - "L = 16.699175, acc = 0.955000\n", - "L = 16.687425, acc = 0.955000\n", - "L = 16.675701, acc = 0.955000\n", - "L = 16.664002, acc = 0.955000\n", - "L = 16.652328, acc = 0.955000\n", - "L = 16.640679, acc = 0.955000\n", - "L = 16.629056, acc = 0.955000\n", - "L = 16.617457, acc = 0.955000\n", - "L = 16.605883, acc = 0.955000\n", - "L = 16.594334, acc = 0.955000\n", - "L = 16.582811, acc = 0.955000\n", - "L = 16.571311, acc = 0.955000\n", - "L = 16.559837, acc = 0.955000\n", - "L = 16.548387, acc = 0.955000\n", - "L = 16.536962, acc = 0.955000\n", - "L = 16.525561, acc = 0.955000\n", - "L = 16.514185, acc = 0.955000\n", - "L = 16.502834, acc = 0.955000\n", - "L = 16.491506, acc = 0.955000\n", - "L = 16.480203, acc = 0.955000\n", - "L = 16.468925, acc = 0.955000\n", - "L = 16.457670, acc = 0.955000\n", - "L = 16.446440, acc = 0.955000\n", - "L = 16.435233, acc = 0.955000\n", - "L = 16.424051, acc = 0.955000\n", - "L = 16.412893, acc = 0.955000\n", - "L = 16.401758, acc = 0.955000\n", - "L = 16.390648, acc = 0.955000\n", - "L = 16.379561, acc = 0.955000\n", - "L = 16.368498, acc = 0.955000\n", - "L = 16.357458, acc = 0.955000\n", - "L = 16.346442, acc = 0.955000\n", - "L = 16.335450, acc = 0.955000\n", - "L = 16.324481, acc = 0.955000\n", - "L = 16.313536, acc = 0.955000\n", - "L = 16.302614, acc = 0.955000\n", - "L = 16.291715, acc = 0.955000\n", - "L = 16.280840, acc = 0.955000\n", - "L = 16.269987, acc = 0.955000\n", - "L = 16.259158, acc = 0.955000\n", - "L = 16.248352, acc = 0.955000\n", - "L = 16.237569, acc = 0.955000\n", - "L = 16.226809, acc = 0.955000\n", - "L = 16.216072, acc = 0.955000\n", - "L = 16.205358, acc = 0.955000\n", - "L = 16.194666, acc = 0.955000\n", - "L = 16.183998, acc = 0.955000\n", - "L = 16.173352, acc = 0.955000\n", - "L = 16.162728, acc = 0.955000\n", - "L = 16.152127, acc = 0.955000\n", - "L = 16.141549, acc = 0.955000\n", - "L = 16.130993, acc = 0.960000\n", - "L = 16.120459, acc = 0.960000\n", - "L = 16.109948, acc = 0.960000\n", - "L = 16.099459, acc = 0.960000\n", - "L = 16.088993, acc = 0.960000\n", - "L = 16.078548, acc = 0.960000\n", - "L = 16.068126, acc = 0.960000\n", - "L = 16.057725, acc = 0.960000\n", - "L = 16.047347, acc = 0.960000\n", - "L = 16.036990, acc = 0.960000\n", - "L = 16.026656, acc = 0.960000\n", - "L = 16.016343, acc = 0.960000\n", - "L = 16.006052, acc = 0.960000\n", - "L = 15.995782, acc = 0.960000\n", - "L = 15.985535, acc = 0.960000\n", - "L = 15.975309, acc = 0.960000\n", - "L = 15.965104, acc = 0.960000\n", - "L = 15.954921, acc = 0.960000\n", - "L = 15.944759, acc = 0.960000\n", - "L = 15.934619, acc = 0.960000\n", - "L = 15.924500, acc = 0.960000\n", - "L = 15.914402, acc = 0.960000\n", - "L = 15.904326, acc = 0.960000\n", - "L = 15.894271, acc = 0.960000\n", - "L = 15.884236, acc = 0.960000\n", - "L = 15.874223, acc = 0.960000\n", - "L = 15.864231, acc = 0.960000\n", - "L = 15.854260, acc = 0.960000\n", - "L = 15.844309, acc = 0.960000\n", - "L = 15.834379, acc = 0.960000\n", - "L = 15.824471, acc = 0.960000\n", - "L = 15.814582, acc = 0.960000\n", - "L = 15.804715, acc = 0.960000\n", - "L = 15.794868, acc = 0.960000\n", - "L = 15.785042, acc = 0.960000\n", - "L = 15.775236, acc = 0.960000\n", - "L = 15.765450, acc = 0.960000\n", - "L = 15.755685, acc = 0.960000\n", - "L = 15.745940, acc = 0.960000\n", - "L = 15.736216, acc = 0.960000\n", - "L = 15.726511, acc = 0.960000\n", - "L = 15.716827, acc = 0.960000\n", - "L = 15.707163, acc = 0.960000\n", - "L = 15.697519, acc = 0.960000\n", - "L = 15.687895, acc = 0.960000\n", - "L = 15.678291, acc = 0.960000\n", - "L = 15.668707, acc = 0.960000\n", - "L = 15.659143, acc = 0.960000\n", - "L = 15.649598, acc = 0.960000\n", - "L = 15.640074, acc = 0.960000\n", - "L = 15.630569, acc = 0.960000\n", - "L = 15.621083, acc = 0.960000\n", - "L = 15.611617, acc = 0.960000\n", - "L = 15.602171, acc = 0.960000\n", - "L = 15.592744, acc = 0.960000\n", - "L = 15.583336, acc = 0.960000\n", - "L = 15.573948, acc = 0.960000\n", - "L = 15.564579, acc = 0.960000\n", - "L = 15.555230, acc = 0.960000\n", - "L = 15.545900, acc = 0.960000\n", - "L = 15.536588, acc = 0.960000\n", - "L = 15.527296, acc = 0.960000\n", - "L = 15.518023, acc = 0.960000\n", - "L = 15.508769, acc = 0.960000\n", - "L = 15.499534, acc = 0.960000\n", - "L = 15.490318, acc = 0.960000\n", - "L = 15.481121, acc = 0.960000\n", - "L = 15.471942, acc = 0.960000\n", - "L = 15.462782, acc = 0.960000\n", - "L = 15.453641, acc = 0.960000\n", - "L = 15.444519, acc = 0.960000\n", - "L = 15.435415, acc = 0.960000\n", - "L = 15.426329, acc = 0.960000\n", - "L = 15.417263, acc = 0.960000\n", - "L = 15.408214, acc = 0.960000\n", - "L = 15.399184, acc = 0.960000\n", - "L = 15.390173, acc = 0.960000\n", - "L = 15.381179, acc = 0.960000\n", - "L = 15.372204, acc = 0.960000\n", - "L = 15.363247, acc = 0.960000\n", - "L = 15.354308, acc = 0.960000\n", - "L = 15.345388, acc = 0.960000\n", - "L = 15.336485, acc = 0.960000\n", - "L = 15.327600, acc = 0.960000\n", - "L = 15.318733, acc = 0.960000\n", - "L = 15.309885, acc = 0.960000\n", - "L = 15.301054, acc = 0.960000\n", - "L = 15.292240, acc = 0.960000\n", - "L = 15.283445, acc = 0.960000\n", - "L = 15.274667, acc = 0.960000\n", - "L = 15.265907, acc = 0.960000\n", - "L = 15.257165, acc = 0.960000\n", - "L = 15.248440, acc = 0.960000\n", - "L = 15.239732, acc = 0.960000\n", - "L = 15.231042, acc = 0.960000\n", - "L = 15.222369, acc = 0.960000\n", - "L = 15.213714, acc = 0.960000\n", - "L = 15.205076, acc = 0.960000\n", - "L = 15.196456, acc = 0.960000\n", - "L = 15.187852, acc = 0.960000\n", - "L = 15.179266, acc = 0.960000\n", - "L = 15.170697, acc = 0.960000\n", - "L = 15.162145, acc = 0.960000\n", - "L = 15.153610, acc = 0.960000\n", - "L = 15.145092, acc = 0.960000\n", - "L = 15.136590, acc = 0.960000\n", - "L = 15.128106, acc = 0.960000\n", - "L = 15.119639, acc = 0.960000\n", - "L = 15.111188, acc = 0.960000\n", - "L = 15.102754, acc = 0.960000\n", - "L = 15.094337, acc = 0.960000\n", - "L = 15.085937, acc = 0.960000\n", - "L = 15.077553, acc = 0.960000\n", - "L = 15.069186, acc = 0.960000\n", - "L = 15.060835, acc = 0.960000\n", - "L = 15.052500, acc = 0.960000\n", - "L = 15.044183, acc = 0.960000\n", - "L = 15.035881, acc = 0.960000\n", - "L = 15.027596, acc = 0.960000\n", - "L = 15.019327, acc = 0.960000\n", - "L = 15.011074, acc = 0.960000\n", - "L = 15.002838, acc = 0.960000\n", - "L = 14.994618, acc = 0.960000\n", - "L = 14.986413, acc = 0.960000\n", - "L = 14.978225, acc = 0.960000\n", - "L = 14.970053, acc = 0.960000\n", - "L = 14.961897, acc = 0.960000\n", - "L = 14.953757, acc = 0.960000\n", - "L = 14.945633, acc = 0.960000\n", - "L = 14.937524, acc = 0.960000\n", - "L = 14.929432, acc = 0.960000\n", - "L = 14.921355, acc = 0.960000\n", - "L = 14.913294, acc = 0.960000\n", - "L = 14.905248, acc = 0.960000\n", - "L = 14.897218, acc = 0.960000\n", - "L = 14.889204, acc = 0.960000\n", - "L = 14.881205, acc = 0.960000\n", - "L = 14.873222, acc = 0.960000\n", - "L = 14.865254, acc = 0.960000\n", - "L = 14.857302, acc = 0.960000\n", - "L = 14.849365, acc = 0.960000\n", - "L = 14.841443, acc = 0.960000\n", - "L = 14.833537, acc = 0.960000\n", - "L = 14.825646, acc = 0.960000\n", - "L = 14.817770, acc = 0.960000\n", - "L = 14.809909, acc = 0.960000\n", - "L = 14.802063, acc = 0.960000\n", - "L = 14.794233, acc = 0.960000\n", - "L = 14.786417, acc = 0.960000\n", - "L = 14.778617, acc = 0.960000\n", - "L = 14.770831, acc = 0.960000\n", - "L = 14.763060, acc = 0.960000\n", - "L = 14.755304, acc = 0.960000\n", - "L = 14.747563, acc = 0.960000\n", - "L = 14.739837, acc = 0.960000\n", - "L = 14.732126, acc = 0.960000\n", - "L = 14.724429, acc = 0.960000\n", - "L = 14.716747, acc = 0.960000\n", - "L = 14.709079, acc = 0.960000\n", - "L = 14.701426, acc = 0.960000\n", - "L = 14.693788, acc = 0.960000\n", - "L = 14.686164, acc = 0.960000\n", - "L = 14.678554, acc = 0.960000\n", - "L = 14.670959, acc = 0.960000\n", - "L = 14.663379, acc = 0.960000\n", - "L = 14.655813, acc = 0.960000\n", - "L = 14.648261, acc = 0.960000\n", - "L = 14.640723, acc = 0.960000\n", - "L = 14.633199, acc = 0.960000\n", - "L = 14.625690, acc = 0.960000\n", - "L = 14.618195, acc = 0.960000\n", - "L = 14.610714, acc = 0.960000\n", - "L = 14.603247, acc = 0.960000\n", - "L = 14.595794, acc = 0.960000\n", - "L = 14.588355, acc = 0.960000\n", - "L = 14.580929, acc = 0.960000\n", - "L = 14.573518, acc = 0.960000\n", - "L = 14.566121, acc = 0.960000\n", - "L = 14.558737, acc = 0.960000\n", - "L = 14.551368, acc = 0.960000\n", - "L = 14.544012, acc = 0.960000\n", - "L = 14.536670, acc = 0.960000\n", - "L = 14.529341, acc = 0.960000\n", - "L = 14.522026, acc = 0.960000\n", - "L = 14.514725, acc = 0.960000\n", - "L = 14.507437, acc = 0.960000\n", - "L = 14.500163, acc = 0.960000\n", - "L = 14.492902, acc = 0.960000\n", - "L = 14.485655, acc = 0.960000\n", - "L = 14.478421, acc = 0.960000\n", - "L = 14.471201, acc = 0.960000\n", - "L = 14.463993, acc = 0.960000\n", - "L = 14.456800, acc = 0.960000\n", - "L = 14.449619, acc = 0.960000\n", - "L = 14.442452, acc = 0.960000\n", - "L = 14.435298, acc = 0.960000\n", - "L = 14.428157, acc = 0.960000\n", - "L = 14.421029, acc = 0.960000\n", - "L = 14.413914, acc = 0.960000\n", - "L = 14.406812, acc = 0.960000\n", - "L = 14.399723, acc = 0.960000\n", - "L = 14.392648, acc = 0.960000\n", - "L = 14.385585, acc = 0.960000\n", - "L = 14.378535, acc = 0.960000\n", - "L = 14.371498, acc = 0.960000\n", - "L = 14.364474, acc = 0.960000\n", - "L = 14.357462, acc = 0.960000\n", - "L = 14.350464, acc = 0.960000\n", - "L = 14.343478, acc = 0.960000\n", - "L = 14.336505, acc = 0.960000\n", - "L = 14.329544, acc = 0.960000\n", - "L = 14.322596, acc = 0.960000\n", - "L = 14.315661, acc = 0.960000\n", - "L = 14.308738, acc = 0.960000\n", - "L = 14.301828, acc = 0.960000\n", - "L = 14.294930, acc = 0.960000\n", - "L = 14.288044, acc = 0.960000\n", - "L = 14.281172, acc = 0.960000\n", - "L = 14.274311, acc = 0.960000\n", - "L = 14.267463, acc = 0.960000\n", - "L = 14.260627, acc = 0.960000\n", - "L = 14.253803, acc = 0.960000\n", - "L = 14.246992, acc = 0.960000\n", - "L = 14.240193, acc = 0.960000\n", - "L = 14.233406, acc = 0.960000\n", - "L = 14.226631, acc = 0.960000\n", - "L = 14.219868, acc = 0.960000\n", - "L = 14.213117, acc = 0.960000\n", - "L = 14.206379, acc = 0.960000\n", - "L = 14.199652, acc = 0.960000\n", - "L = 14.192938, acc = 0.960000\n", - "L = 14.186235, acc = 0.960000\n", - "L = 14.179544, acc = 0.960000\n", - "L = 14.172865, acc = 0.960000\n", - "L = 14.166198, acc = 0.960000\n", - "L = 14.159543, acc = 0.960000\n", - "L = 14.152900, acc = 0.960000\n", - "L = 14.146268, acc = 0.960000\n", - "L = 14.139648, acc = 0.960000\n", - "L = 14.133040, acc = 0.960000\n", - "L = 14.126443, acc = 0.960000\n", - "L = 14.119858, acc = 0.960000\n", - "L = 14.113284, acc = 0.960000\n", - "L = 14.106723, acc = 0.960000\n", - "L = 14.100172, acc = 0.960000\n", - "L = 14.093633, acc = 0.960000\n", - "L = 14.087106, acc = 0.960000\n", - "L = 14.080590, acc = 0.960000\n", - "L = 14.074085, acc = 0.960000\n", - "L = 14.067592, acc = 0.960000\n", - "L = 14.061110, acc = 0.960000\n", - "L = 14.054640, acc = 0.960000\n", - "L = 14.048181, acc = 0.960000\n", - "L = 14.041732, acc = 0.960000\n", - "L = 14.035296, acc = 0.960000\n", - "L = 14.028870, acc = 0.960000\n", - "L = 14.022456, acc = 0.960000\n", - "L = 14.016052, acc = 0.960000\n", - "L = 14.009660, acc = 0.960000\n", - "L = 14.003279, acc = 0.960000\n", - "L = 13.996909, acc = 0.960000\n", - "L = 13.990549, acc = 0.960000\n", - "L = 13.984201, acc = 0.960000\n", - "L = 13.977864, acc = 0.960000\n", - "L = 13.971538, acc = 0.960000\n", - "L = 13.965222, acc = 0.960000\n", - "L = 13.958917, acc = 0.960000\n", - "L = 13.952624, acc = 0.960000\n", - "L = 13.946341, acc = 0.960000\n", - "L = 13.940068, acc = 0.960000\n", - "L = 13.933807, acc = 0.960000\n" + "L = 141.641114, acc = 0.500000\n", + "L = 134.717649, acc = 0.500000\n", + "L = 127.447549, acc = 0.500000\n", + "L = 119.980618, acc = 0.500000\n", + "L = 112.582569, acc = 0.500000\n", + "L = 105.715501, acc = 0.500000\n", + "L = 99.910286, acc = 0.500000\n", + "L = 95.430744, acc = 0.500000\n", + "L = 92.118517, acc = 0.770000\n", + "L = 89.603045, acc = 0.830000\n", + "L = 87.556338, acc = 0.840000\n", + "L = 85.773311, acc = 0.835000\n", + "L = 84.144954, acc = 0.845000\n", + "L = 82.616875, acc = 0.840000\n", + "L = 81.161930, acc = 0.840000\n", + "L = 79.765895, acc = 0.840000\n", + "L = 78.420663, acc = 0.840000\n", + "L = 77.121120, acc = 0.845000\n", + "L = 75.863725, acc = 0.845000\n", + "L = 74.645849, acc = 0.845000\n", + "L = 73.465450, acc = 0.845000\n", + "L = 72.320894, acc = 0.845000\n", + "L = 71.210846, acc = 0.845000\n", + "L = 70.134203, acc = 0.845000\n", + "L = 69.090038, acc = 0.845000\n", + "L = 68.077556, acc = 0.835000\n", + "L = 67.096067, acc = 0.835000\n", + "L = 66.144952, acc = 0.835000\n", + "L = 65.223644, acc = 0.845000\n", + "L = 64.331609, acc = 0.845000\n", + "L = 63.468334, acc = 0.845000\n", + "L = 62.633311, acc = 0.845000\n", + "L = 61.826031, acc = 0.845000\n", + "L = 61.045977, acc = 0.845000\n", + "L = 60.292618, acc = 0.845000\n", + "L = 59.565408, acc = 0.845000\n", + "L = 58.863782, acc = 0.845000\n", + "L = 58.187156, acc = 0.845000\n", + "L = 57.534928, acc = 0.845000\n", + "L = 56.906480, acc = 0.845000\n", + "L = 56.301176, acc = 0.845000\n", + "L = 55.718368, acc = 0.845000\n", + "L = 55.157398, acc = 0.845000\n", + "L = 54.617598, acc = 0.845000\n", + "L = 54.098297, acc = 0.850000\n", + "L = 53.598818, acc = 0.850000\n", + "L = 53.118487, acc = 0.850000\n", + "L = 52.656632, acc = 0.850000\n", + "L = 52.212586, acc = 0.850000\n", + "L = 51.785690, acc = 0.850000\n", + "L = 51.375293, acc = 0.850000\n", + "L = 50.980758, acc = 0.850000\n", + "L = 50.601458, acc = 0.850000\n", + "L = 50.236784, acc = 0.850000\n", + "L = 49.886141, acc = 0.850000\n", + "L = 49.548949, acc = 0.850000\n", + "L = 49.224649, acc = 0.850000\n", + "L = 48.912696, acc = 0.850000\n", + "L = 48.612567, acc = 0.845000\n", + "L = 48.323755, acc = 0.845000\n", + "L = 48.045774, acc = 0.845000\n", + "L = 47.778154, acc = 0.845000\n", + "L = 47.520447, acc = 0.840000\n", + "L = 47.272220, acc = 0.840000\n", + "L = 47.033060, acc = 0.840000\n", + "L = 46.802572, acc = 0.840000\n", + "L = 46.580376, acc = 0.840000\n", + "L = 46.366112, acc = 0.840000\n", + "L = 46.159435, acc = 0.835000\n", + "L = 45.960013, acc = 0.835000\n", + "L = 45.767534, acc = 0.835000\n", + "L = 45.581698, acc = 0.835000\n", + "L = 45.402218, acc = 0.835000\n", + "L = 45.228823, acc = 0.835000\n", + "L = 45.061253, acc = 0.835000\n", + "L = 44.899263, acc = 0.840000\n", + "L = 44.742616, acc = 0.840000\n", + "L = 44.591089, acc = 0.840000\n", + "L = 44.444469, acc = 0.840000\n", + "L = 44.302554, acc = 0.835000\n", + "L = 44.165150, acc = 0.835000\n", + "L = 44.032074, acc = 0.835000\n", + "L = 43.903152, acc = 0.835000\n", + "L = 43.778215, acc = 0.835000\n", + "L = 43.657106, acc = 0.835000\n", + "L = 43.539675, acc = 0.835000\n", + "L = 43.425776, acc = 0.835000\n", + "L = 43.315273, acc = 0.835000\n", + "L = 43.208036, acc = 0.835000\n", + "L = 43.103940, acc = 0.835000\n", + "L = 43.002866, acc = 0.835000\n", + "L = 42.904701, acc = 0.835000\n", + "L = 42.809337, acc = 0.840000\n", + "L = 42.716670, acc = 0.840000\n", + "L = 42.626604, acc = 0.840000\n", + "L = 42.539042, acc = 0.840000\n", + "L = 42.453897, acc = 0.840000\n", + "L = 42.371082, acc = 0.840000\n", + "L = 42.290514, acc = 0.840000\n", + "L = 42.212116, acc = 0.840000\n", + "L = 42.135813, acc = 0.840000\n", + "L = 42.061533, acc = 0.840000\n", + "L = 41.989207, acc = 0.840000\n", + "L = 41.918769, acc = 0.840000\n", + "L = 41.850156, acc = 0.840000\n", + "L = 41.783309, acc = 0.840000\n", + "L = 41.718168, acc = 0.840000\n", + "L = 41.654679, acc = 0.840000\n", + "L = 41.592788, acc = 0.840000\n", + "L = 41.532444, acc = 0.840000\n", + "L = 41.473598, acc = 0.840000\n", + "L = 41.416203, acc = 0.840000\n", + "L = 41.360213, acc = 0.840000\n", + "L = 41.305586, acc = 0.840000\n", + "L = 41.252279, acc = 0.840000\n", + "L = 41.200251, acc = 0.840000\n", + "L = 41.149465, acc = 0.840000\n", + "L = 41.099883, acc = 0.840000\n", + "L = 41.051469, acc = 0.840000\n", + "L = 41.004189, acc = 0.840000\n", + "L = 40.958008, acc = 0.840000\n", + "L = 40.912896, acc = 0.840000\n", + "L = 40.868821, acc = 0.840000\n", + "L = 40.825754, acc = 0.840000\n", + "L = 40.783665, acc = 0.840000\n", + "L = 40.742527, acc = 0.840000\n", + "L = 40.702314, acc = 0.840000\n", + "L = 40.662998, acc = 0.840000\n", + "L = 40.624556, acc = 0.840000\n", + "L = 40.586964, acc = 0.840000\n", + "L = 40.550197, acc = 0.840000\n", + "L = 40.514234, acc = 0.840000\n", + "L = 40.479052, acc = 0.845000\n", + "L = 40.444631, acc = 0.845000\n", + "L = 40.410950, acc = 0.845000\n", + "L = 40.377990, acc = 0.845000\n", + "L = 40.345732, acc = 0.845000\n", + "L = 40.314157, acc = 0.845000\n", + "L = 40.283247, acc = 0.845000\n", + "L = 40.252984, acc = 0.845000\n", + "L = 40.223353, acc = 0.845000\n", + "L = 40.194338, acc = 0.845000\n", + "L = 40.165921, acc = 0.845000\n", + "L = 40.138088, acc = 0.845000\n", + "L = 40.110825, acc = 0.845000\n", + "L = 40.084117, acc = 0.845000\n", + "L = 40.057949, acc = 0.845000\n", + "L = 40.032310, acc = 0.845000\n", + "L = 40.007184, acc = 0.845000\n", + "L = 39.982561, acc = 0.845000\n", + "L = 39.958427, acc = 0.845000\n", + "L = 39.934771, acc = 0.845000\n", + "L = 39.911581, acc = 0.850000\n", + "L = 39.888845, acc = 0.850000\n", + "L = 39.866553, acc = 0.850000\n", + "L = 39.844694, acc = 0.850000\n", + "L = 39.823258, acc = 0.850000\n", + "L = 39.802235, acc = 0.850000\n", + "L = 39.781615, acc = 0.850000\n", + "L = 39.761388, acc = 0.850000\n", + "L = 39.741546, acc = 0.850000\n", + "L = 39.722079, acc = 0.850000\n", + "L = 39.702978, acc = 0.850000\n", + "L = 39.684235, acc = 0.850000\n", + "L = 39.665843, acc = 0.850000\n", + "L = 39.647792, acc = 0.850000\n", + "L = 39.630075, acc = 0.850000\n", + "L = 39.612685, acc = 0.850000\n", + "L = 39.595613, acc = 0.850000\n", + "L = 39.578853, acc = 0.850000\n", + "L = 39.562398, acc = 0.850000\n", + "L = 39.546241, acc = 0.850000\n", + "L = 39.530376, acc = 0.850000\n", + "L = 39.514794, acc = 0.850000\n", + "L = 39.499492, acc = 0.850000\n", + "L = 39.484461, acc = 0.855000\n", + "L = 39.469697, acc = 0.855000\n", + "L = 39.455194, acc = 0.855000\n", + "L = 39.440945, acc = 0.855000\n", + "L = 39.426945, acc = 0.855000\n", + "L = 39.413189, acc = 0.855000\n", + "L = 39.399671, acc = 0.855000\n", + "L = 39.386387, acc = 0.855000\n", + "L = 39.373331, acc = 0.855000\n", + "L = 39.360498, acc = 0.855000\n", + "L = 39.347884, acc = 0.855000\n", + "L = 39.335484, acc = 0.855000\n", + "L = 39.323293, acc = 0.855000\n", + "L = 39.311308, acc = 0.855000\n", + "L = 39.299522, acc = 0.855000\n", + "L = 39.287933, acc = 0.855000\n", + "L = 39.276537, acc = 0.855000\n", + "L = 39.265328, acc = 0.855000\n", + "L = 39.254304, acc = 0.855000\n", + "L = 39.243460, acc = 0.855000\n", + "L = 39.232792, acc = 0.855000\n", + "L = 39.222298, acc = 0.855000\n", + "L = 39.211973, acc = 0.855000\n", + "L = 39.201813, acc = 0.855000\n", + "L = 39.191816, acc = 0.855000\n", + "L = 39.181979, acc = 0.855000\n", + "L = 39.172297, acc = 0.855000\n", + "L = 39.162767, acc = 0.855000\n", + "L = 39.153387, acc = 0.855000\n", + "L = 39.144154, acc = 0.855000\n", + "L = 39.135064, acc = 0.855000\n", + "L = 39.126114, acc = 0.855000\n", + "L = 39.117302, acc = 0.855000\n", + "L = 39.108625, acc = 0.855000\n", + "L = 39.100080, acc = 0.855000\n", + "L = 39.091665, acc = 0.855000\n", + "L = 39.083376, acc = 0.855000\n", + "L = 39.075211, acc = 0.855000\n", + "L = 39.067169, acc = 0.855000\n", + "L = 39.059246, acc = 0.855000\n", + "L = 39.051439, acc = 0.855000\n", + "L = 39.043748, acc = 0.855000\n", + "L = 39.036168, acc = 0.855000\n", + "L = 39.028699, acc = 0.855000\n", + "L = 39.021337, acc = 0.855000\n", + "L = 39.014081, acc = 0.855000\n", + "L = 39.006929, acc = 0.855000\n", + "L = 38.999878, acc = 0.855000\n", + "L = 38.992927, acc = 0.855000\n", + "L = 38.986073, acc = 0.855000\n", + "L = 38.979315, acc = 0.855000\n", + "L = 38.972651, acc = 0.855000\n", + "L = 38.966078, acc = 0.855000\n", + "L = 38.959596, acc = 0.855000\n", + "L = 38.953201, acc = 0.855000\n", + "L = 38.946893, acc = 0.855000\n", + "L = 38.940670, acc = 0.855000\n", + "L = 38.934530, acc = 0.855000\n", + "L = 38.928471, acc = 0.855000\n", + "L = 38.922493, acc = 0.855000\n", + "L = 38.916592, acc = 0.855000\n", + "L = 38.910768, acc = 0.855000\n", + "L = 38.905019, acc = 0.855000\n", + "L = 38.899344, acc = 0.855000\n", + "L = 38.893741, acc = 0.855000\n", + "L = 38.888209, acc = 0.855000\n", + "L = 38.882746, acc = 0.855000\n", + "L = 38.877352, acc = 0.855000\n", + "L = 38.872023, acc = 0.855000\n", + "L = 38.866760, acc = 0.855000\n", + "L = 38.861562, acc = 0.855000\n", + "L = 38.856425, acc = 0.855000\n", + "L = 38.851351, acc = 0.855000\n", + "L = 38.846336, acc = 0.855000\n", + "L = 38.841381, acc = 0.855000\n", + "L = 38.836483, acc = 0.855000\n", + "L = 38.831642, acc = 0.855000\n", + "L = 38.826857, acc = 0.855000\n", + "L = 38.822126, acc = 0.855000\n", + "L = 38.817449, acc = 0.855000\n", + "L = 38.812823, acc = 0.855000\n", + "L = 38.808249, acc = 0.855000\n", + "L = 38.803725, acc = 0.855000\n", + "L = 38.799250, acc = 0.855000\n", + "L = 38.794823, acc = 0.855000\n", + "L = 38.790443, acc = 0.855000\n", + "L = 38.786110, acc = 0.855000\n", + "L = 38.781821, acc = 0.855000\n", + "L = 38.777577, acc = 0.855000\n", + "L = 38.773377, acc = 0.855000\n", + "L = 38.769218, acc = 0.855000\n", + "L = 38.765101, acc = 0.855000\n", + "L = 38.761025, acc = 0.855000\n", + "L = 38.756989, acc = 0.855000\n", + "L = 38.752992, acc = 0.855000\n", + "L = 38.749033, acc = 0.855000\n", + "L = 38.745111, acc = 0.855000\n", + "L = 38.741225, acc = 0.855000\n", + "L = 38.737376, acc = 0.855000\n", + "L = 38.733561, acc = 0.855000\n", + "L = 38.729781, acc = 0.855000\n", + "L = 38.726034, acc = 0.855000\n", + "L = 38.722320, acc = 0.855000\n", + "L = 38.718637, acc = 0.855000\n", + "L = 38.714986, acc = 0.855000\n", + "L = 38.711366, acc = 0.855000\n", + "L = 38.707775, acc = 0.855000\n", + "L = 38.704214, acc = 0.855000\n", + "L = 38.700681, acc = 0.855000\n", + "L = 38.697176, acc = 0.855000\n", + "L = 38.693699, acc = 0.855000\n", + "L = 38.690248, acc = 0.855000\n", + "L = 38.686823, acc = 0.855000\n", + "L = 38.683423, acc = 0.855000\n", + "L = 38.680048, acc = 0.855000\n", + "L = 38.676697, acc = 0.850000\n", + "L = 38.673369, acc = 0.850000\n", + "L = 38.670065, acc = 0.850000\n", + "L = 38.666783, acc = 0.845000\n", + "L = 38.663523, acc = 0.850000\n", + "L = 38.660284, acc = 0.850000\n", + "L = 38.657066, acc = 0.850000\n", + "L = 38.653868, acc = 0.850000\n", + "L = 38.650689, acc = 0.850000\n", + "L = 38.647530, acc = 0.850000\n", + "L = 38.644389, acc = 0.850000\n", + "L = 38.641267, acc = 0.850000\n", + "L = 38.638162, acc = 0.850000\n", + "L = 38.635074, acc = 0.850000\n", + "L = 38.632003, acc = 0.850000\n", + "L = 38.628947, acc = 0.850000\n", + "L = 38.625908, acc = 0.850000\n", + "L = 38.622884, acc = 0.850000\n", + "L = 38.619874, acc = 0.850000\n", + "L = 38.616879, acc = 0.850000\n", + "L = 38.613897, acc = 0.850000\n", + "L = 38.610929, acc = 0.850000\n", + "L = 38.607974, acc = 0.850000\n", + "L = 38.605031, acc = 0.850000\n", + "L = 38.602101, acc = 0.850000\n", + "L = 38.599182, acc = 0.850000\n", + "L = 38.596274, acc = 0.850000\n", + "L = 38.593377, acc = 0.850000\n", + "L = 38.590491, acc = 0.850000\n", + "L = 38.587615, acc = 0.850000\n", + "L = 38.584748, acc = 0.850000\n", + "L = 38.581891, acc = 0.850000\n", + "L = 38.579042, acc = 0.850000\n", + "L = 38.576202, acc = 0.850000\n", + "L = 38.573370, acc = 0.850000\n", + "L = 38.570546, acc = 0.850000\n", + "L = 38.567729, acc = 0.850000\n", + "L = 38.564919, acc = 0.850000\n", + "L = 38.562116, acc = 0.850000\n", + "L = 38.559319, acc = 0.850000\n", + "L = 38.556528, acc = 0.850000\n", + "L = 38.553743, acc = 0.850000\n", + "L = 38.550963, acc = 0.850000\n", + "L = 38.548188, acc = 0.850000\n", + "L = 38.545417, acc = 0.850000\n", + "L = 38.542651, acc = 0.850000\n", + "L = 38.539889, acc = 0.850000\n", + "L = 38.537131, acc = 0.850000\n", + "L = 38.534375, acc = 0.850000\n", + "L = 38.531623, acc = 0.850000\n", + "L = 38.528874, acc = 0.850000\n", + "L = 38.526127, acc = 0.850000\n", + "L = 38.523382, acc = 0.850000\n", + "L = 38.520638, acc = 0.850000\n", + "L = 38.517897, acc = 0.850000\n", + "L = 38.515156, acc = 0.850000\n", + "L = 38.512416, acc = 0.850000\n", + "L = 38.509677, acc = 0.850000\n", + "L = 38.506939, acc = 0.850000\n", + "L = 38.504200, acc = 0.850000\n", + "L = 38.501461, acc = 0.850000\n", + "L = 38.498722, acc = 0.850000\n", + "L = 38.495982, acc = 0.850000\n", + "L = 38.493241, acc = 0.850000\n", + "L = 38.490498, acc = 0.850000\n", + "L = 38.487754, acc = 0.850000\n", + "L = 38.485009, acc = 0.850000\n", + "L = 38.482261, acc = 0.850000\n", + "L = 38.479510, acc = 0.850000\n", + "L = 38.476758, acc = 0.850000\n", + "L = 38.474002, acc = 0.850000\n", + "L = 38.471243, acc = 0.850000\n", + "L = 38.468481, acc = 0.850000\n", + "L = 38.465715, acc = 0.850000\n", + "L = 38.462946, acc = 0.850000\n", + "L = 38.460172, acc = 0.850000\n", + "L = 38.457394, acc = 0.850000\n", + "L = 38.454612, acc = 0.850000\n", + "L = 38.451825, acc = 0.850000\n", + "L = 38.449033, acc = 0.850000\n", + "L = 38.446235, acc = 0.850000\n", + "L = 38.443432, acc = 0.855000\n", + "L = 38.440624, acc = 0.855000\n", + "L = 38.437809, acc = 0.855000\n", + "L = 38.434989, acc = 0.855000\n", + "L = 38.432162, acc = 0.855000\n", + "L = 38.429329, acc = 0.855000\n", + "L = 38.426489, acc = 0.855000\n", + "L = 38.423642, acc = 0.855000\n", + "L = 38.420787, acc = 0.855000\n", + "L = 38.417926, acc = 0.855000\n", + "L = 38.415056, acc = 0.855000\n", + "L = 38.412179, acc = 0.855000\n", + "L = 38.409294, acc = 0.855000\n", + "L = 38.406401, acc = 0.855000\n", + "L = 38.403500, acc = 0.855000\n", + "L = 38.400590, acc = 0.855000\n", + "L = 38.397671, acc = 0.855000\n", + "L = 38.394743, acc = 0.855000\n", + "L = 38.391806, acc = 0.855000\n", + "L = 38.388859, acc = 0.855000\n", + "L = 38.385904, acc = 0.855000\n", + "L = 38.382938, acc = 0.855000\n", + "L = 38.379962, acc = 0.855000\n", + "L = 38.376977, acc = 0.855000\n", + "L = 38.373981, acc = 0.855000\n", + "L = 38.370975, acc = 0.860000\n", + "L = 38.367958, acc = 0.860000\n", + "L = 38.364930, acc = 0.860000\n", + "L = 38.361891, acc = 0.860000\n", + "L = 38.358842, acc = 0.860000\n", + "L = 38.355780, acc = 0.860000\n", + "L = 38.352708, acc = 0.860000\n", + "L = 38.349624, acc = 0.860000\n", + "L = 38.346527, acc = 0.860000\n", + "L = 38.343419, acc = 0.860000\n", + "L = 38.340299, acc = 0.860000\n", + "L = 38.337167, acc = 0.860000\n", + "L = 38.334022, acc = 0.860000\n", + "L = 38.330864, acc = 0.860000\n", + "L = 38.327694, acc = 0.860000\n", + "L = 38.324510, acc = 0.860000\n", + "L = 38.321314, acc = 0.860000\n", + "L = 38.318104, acc = 0.860000\n", + "L = 38.314881, acc = 0.860000\n", + "L = 38.311645, acc = 0.860000\n", + "L = 38.308394, acc = 0.860000\n", + "L = 38.305130, acc = 0.860000\n", + "L = 38.301852, acc = 0.865000\n", + "L = 38.298560, acc = 0.865000\n", + "L = 38.295253, acc = 0.865000\n", + "L = 38.291932, acc = 0.865000\n", + "L = 38.288597, acc = 0.865000\n", + "L = 38.285246, acc = 0.865000\n", + "L = 38.281881, acc = 0.865000\n", + "L = 38.278501, acc = 0.865000\n", + "L = 38.275106, acc = 0.865000\n", + "L = 38.271695, acc = 0.865000\n", + "L = 38.268269, acc = 0.865000\n", + "L = 38.264828, acc = 0.865000\n", + "L = 38.261370, acc = 0.865000\n", + "L = 38.257897, acc = 0.865000\n", + "L = 38.254408, acc = 0.865000\n", + "L = 38.250903, acc = 0.865000\n", + "L = 38.247382, acc = 0.865000\n", + "L = 38.243844, acc = 0.865000\n", + "L = 38.240290, acc = 0.865000\n", + "L = 38.236720, acc = 0.865000\n", + "L = 38.233133, acc = 0.865000\n", + "L = 38.229528, acc = 0.865000\n", + "L = 38.225907, acc = 0.865000\n", + "L = 38.222269, acc = 0.865000\n", + "L = 38.218614, acc = 0.865000\n", + "L = 38.214941, acc = 0.865000\n", + "L = 38.211251, acc = 0.865000\n", + "L = 38.207543, acc = 0.865000\n", + "L = 38.203818, acc = 0.865000\n", + "L = 38.200074, acc = 0.865000\n", + "L = 38.196313, acc = 0.865000\n", + "L = 38.192534, acc = 0.865000\n", + "L = 38.188737, acc = 0.865000\n", + "L = 38.184921, acc = 0.865000\n", + "L = 38.181087, acc = 0.865000\n", + "L = 38.177235, acc = 0.865000\n", + "L = 38.173364, acc = 0.865000\n", + "L = 38.169474, acc = 0.865000\n", + "L = 38.165565, acc = 0.865000\n", + "L = 38.161637, acc = 0.865000\n", + "L = 38.157691, acc = 0.865000\n", + "L = 38.153725, acc = 0.865000\n", + "L = 38.149740, acc = 0.865000\n", + "L = 38.145735, acc = 0.865000\n", + "L = 38.141711, acc = 0.865000\n", + "L = 38.137668, acc = 0.865000\n", + "L = 38.133604, acc = 0.865000\n", + "L = 38.129521, acc = 0.865000\n", + "L = 38.125418, acc = 0.865000\n", + "L = 38.121295, acc = 0.865000\n", + "L = 38.117152, acc = 0.865000\n", + "L = 38.112988, acc = 0.865000\n", + "L = 38.108804, acc = 0.865000\n", + "L = 38.104600, acc = 0.865000\n", + "L = 38.100375, acc = 0.865000\n", + "L = 38.096130, acc = 0.865000\n", + "L = 38.091863, acc = 0.865000\n", + "L = 38.087576, acc = 0.865000\n", + "L = 38.083268, acc = 0.865000\n", + "L = 38.078938, acc = 0.865000\n", + "L = 38.074588, acc = 0.865000\n", + "L = 38.070216, acc = 0.865000\n", + "L = 38.065823, acc = 0.865000\n", + "L = 38.061408, acc = 0.865000\n", + "L = 38.056972, acc = 0.865000\n", + "L = 38.052514, acc = 0.865000\n", + "L = 38.048034, acc = 0.865000\n", + "L = 38.043532, acc = 0.865000\n", + "L = 38.039009, acc = 0.865000\n", + "L = 38.034463, acc = 0.860000\n", + "L = 38.029894, acc = 0.860000\n", + "L = 38.025304, acc = 0.860000\n", + "L = 38.020691, acc = 0.860000\n", + "L = 38.016056, acc = 0.860000\n", + "L = 38.011397, acc = 0.860000\n", + "L = 38.006717, acc = 0.860000\n", + "L = 38.002013, acc = 0.860000\n", + "L = 37.997286, acc = 0.860000\n", + "L = 37.992536, acc = 0.860000\n", + "L = 37.987763, acc = 0.860000\n", + "L = 37.982967, acc = 0.860000\n", + "L = 37.978147, acc = 0.860000\n", + "L = 37.973304, acc = 0.860000\n", + "L = 37.968438, acc = 0.860000\n", + "L = 37.963547, acc = 0.860000\n", + "L = 37.958633, acc = 0.860000\n", + "L = 37.953695, acc = 0.860000\n", + "L = 37.948733, acc = 0.860000\n", + "L = 37.943746, acc = 0.860000\n", + "L = 37.938736, acc = 0.860000\n", + "L = 37.933701, acc = 0.860000\n", + "L = 37.928641, acc = 0.860000\n", + "L = 37.923557, acc = 0.860000\n", + "L = 37.918449, acc = 0.860000\n", + "L = 37.913315, acc = 0.860000\n", + "L = 37.908157, acc = 0.860000\n", + "L = 37.902973, acc = 0.860000\n", + "L = 37.897765, acc = 0.860000\n", + "L = 37.892531, acc = 0.860000\n", + "L = 37.887272, acc = 0.860000\n", + "L = 37.881987, acc = 0.860000\n", + "L = 37.876677, acc = 0.860000\n", + "L = 37.871341, acc = 0.860000\n", + "L = 37.865979, acc = 0.860000\n", + "L = 37.860592, acc = 0.860000\n", + "L = 37.855178, acc = 0.860000\n", + "L = 37.849738, acc = 0.860000\n", + "L = 37.844272, acc = 0.860000\n", + "L = 37.838779, acc = 0.860000\n", + "L = 37.833260, acc = 0.860000\n", + "L = 37.827714, acc = 0.860000\n", + "L = 37.822141, acc = 0.860000\n", + "L = 37.816542, acc = 0.860000\n", + "L = 37.810915, acc = 0.860000\n", + "L = 37.805261, acc = 0.860000\n", + "L = 37.799580, acc = 0.860000\n", + "L = 37.793872, acc = 0.860000\n", + "L = 37.788136, acc = 0.860000\n", + "L = 37.782373, acc = 0.860000\n", + "L = 37.776581, acc = 0.860000\n", + "L = 37.770762, acc = 0.860000\n", + "L = 37.764914, acc = 0.860000\n", + "L = 37.759039, acc = 0.860000\n", + "L = 37.753135, acc = 0.860000\n", + "L = 37.747203, acc = 0.860000\n", + "L = 37.741242, acc = 0.860000\n", + "L = 37.735252, acc = 0.860000\n", + "L = 37.729234, acc = 0.865000\n", + "L = 37.723187, acc = 0.865000\n", + "L = 37.717110, acc = 0.865000\n", + "L = 37.711005, acc = 0.865000\n", + "L = 37.704870, acc = 0.865000\n", + "L = 37.698705, acc = 0.865000\n", + "L = 37.692511, acc = 0.865000\n", + "L = 37.686287, acc = 0.865000\n", + "L = 37.680033, acc = 0.865000\n", + "L = 37.673749, acc = 0.865000\n", + "L = 37.667434, acc = 0.865000\n", + "L = 37.661090, acc = 0.865000\n", + "L = 37.654714, acc = 0.865000\n", + "L = 37.648309, acc = 0.865000\n", + "L = 37.641872, acc = 0.865000\n", + "L = 37.635404, acc = 0.865000\n", + "L = 37.628906, acc = 0.865000\n", + "L = 37.622376, acc = 0.865000\n", + "L = 37.615814, acc = 0.865000\n", + "L = 37.609222, acc = 0.865000\n", + "L = 37.602597, acc = 0.865000\n", + "L = 37.595941, acc = 0.865000\n", + "L = 37.589252, acc = 0.865000\n", + "L = 37.582532, acc = 0.865000\n", + "L = 37.575779, acc = 0.865000\n", + "L = 37.568994, acc = 0.865000\n", + "L = 37.562176, acc = 0.865000\n", + "L = 37.555325, acc = 0.865000\n", + "L = 37.548442, acc = 0.865000\n", + "L = 37.541525, acc = 0.865000\n", + "L = 37.534575, acc = 0.865000\n", + "L = 37.527592, acc = 0.865000\n", + "L = 37.520575, acc = 0.865000\n", + "L = 37.513525, acc = 0.865000\n", + "L = 37.506441, acc = 0.865000\n", + "L = 37.499322, acc = 0.865000\n", + "L = 37.492170, acc = 0.865000\n", + "L = 37.484983, acc = 0.865000\n", + "L = 37.477762, acc = 0.865000\n", + "L = 37.470506, acc = 0.865000\n", + "L = 37.463215, acc = 0.865000\n", + "L = 37.455889, acc = 0.865000\n", + "L = 37.448528, acc = 0.865000\n", + "L = 37.441132, acc = 0.865000\n", + "L = 37.433700, acc = 0.865000\n", + "L = 37.426233, acc = 0.865000\n", + "L = 37.418730, acc = 0.865000\n", + "L = 37.411191, acc = 0.865000\n", + "L = 37.403616, acc = 0.865000\n", + "L = 37.396004, acc = 0.865000\n", + "L = 37.388356, acc = 0.865000\n", + "L = 37.380672, acc = 0.865000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "L = 37.372950, acc = 0.865000\n", + "L = 37.365192, acc = 0.865000\n", + "L = 37.357397, acc = 0.865000\n", + "L = 37.349564, acc = 0.865000\n", + "L = 37.341694, acc = 0.865000\n", + "L = 37.333786, acc = 0.865000\n", + "L = 37.325840, acc = 0.865000\n", + "L = 37.317857, acc = 0.865000\n", + "L = 37.309835, acc = 0.865000\n", + "L = 37.301775, acc = 0.865000\n", + "L = 37.293677, acc = 0.865000\n", + "L = 37.285540, acc = 0.865000\n", + "L = 37.277364, acc = 0.865000\n", + "L = 37.269149, acc = 0.865000\n", + "L = 37.260895, acc = 0.865000\n", + "L = 37.252602, acc = 0.865000\n", + "L = 37.244269, acc = 0.865000\n", + "L = 37.235897, acc = 0.865000\n", + "L = 37.227485, acc = 0.865000\n", + "L = 37.219033, acc = 0.870000\n", + "L = 37.210541, acc = 0.870000\n", + "L = 37.202008, acc = 0.870000\n", + "L = 37.193436, acc = 0.870000\n", + "L = 37.184822, acc = 0.870000\n", + "L = 37.176168, acc = 0.870000\n", + "L = 37.167473, acc = 0.870000\n", + "L = 37.158737, acc = 0.870000\n", + "L = 37.149959, acc = 0.870000\n", + "L = 37.141140, acc = 0.870000\n", + "L = 37.132280, acc = 0.870000\n", + "L = 37.123377, acc = 0.870000\n", + "L = 37.114433, acc = 0.870000\n", + "L = 37.105447, acc = 0.870000\n", + "L = 37.096418, acc = 0.870000\n", + "L = 37.087348, acc = 0.870000\n", + "L = 37.078234, acc = 0.870000\n", + "L = 37.069078, acc = 0.870000\n", + "L = 37.059879, acc = 0.870000\n", + "L = 37.050637, acc = 0.870000\n", + "L = 37.041352, acc = 0.870000\n", + "L = 37.032023, acc = 0.870000\n", + "L = 37.022651, acc = 0.870000\n", + "L = 37.013236, acc = 0.870000\n", + "L = 37.003776, acc = 0.870000\n", + "L = 36.994273, acc = 0.870000\n", + "L = 36.984726, acc = 0.870000\n", + "L = 36.975134, acc = 0.870000\n", + "L = 36.965498, acc = 0.870000\n", + "L = 36.955818, acc = 0.870000\n", + "L = 36.946092, acc = 0.870000\n", + "L = 36.936322, acc = 0.870000\n", + "L = 36.926507, acc = 0.870000\n", + "L = 36.916647, acc = 0.870000\n", + "L = 36.906742, acc = 0.870000\n", + "L = 36.896791, acc = 0.870000\n", + "L = 36.886795, acc = 0.870000\n", + "L = 36.876753, acc = 0.870000\n", + "L = 36.866666, acc = 0.870000\n", + "L = 36.856532, acc = 0.870000\n", + "L = 36.846353, acc = 0.870000\n", + "L = 36.836127, acc = 0.870000\n", + "L = 36.825855, acc = 0.870000\n", + "L = 36.815536, acc = 0.870000\n", + "L = 36.805171, acc = 0.875000\n", + "L = 36.794759, acc = 0.875000\n", + "L = 36.784300, acc = 0.875000\n", + "L = 36.773795, acc = 0.875000\n", + "L = 36.763242, acc = 0.875000\n", + "L = 36.752642, acc = 0.875000\n", + "L = 36.741995, acc = 0.875000\n", + "L = 36.731300, acc = 0.875000\n", + "L = 36.720558, acc = 0.875000\n", + "L = 36.709768, acc = 0.875000\n", + "L = 36.698930, acc = 0.875000\n", + "L = 36.688045, acc = 0.875000\n", + "L = 36.677111, acc = 0.875000\n", + "L = 36.666130, acc = 0.875000\n", + "L = 36.655100, acc = 0.875000\n", + "L = 36.644022, acc = 0.875000\n", + "L = 36.632896, acc = 0.875000\n", + "L = 36.621721, acc = 0.875000\n", + "L = 36.610497, acc = 0.875000\n", + "L = 36.599225, acc = 0.875000\n", + "L = 36.587904, acc = 0.875000\n", + "L = 36.576534, acc = 0.875000\n", + "L = 36.565115, acc = 0.875000\n", + "L = 36.553647, acc = 0.875000\n", + "L = 36.542130, acc = 0.875000\n", + "L = 36.530564, acc = 0.875000\n", + "L = 36.518949, acc = 0.875000\n", + "L = 36.507284, acc = 0.875000\n", + "L = 36.495570, acc = 0.875000\n", + "L = 36.483806, acc = 0.875000\n", + "L = 36.471992, acc = 0.875000\n", + "L = 36.460129, acc = 0.875000\n", + "L = 36.448217, acc = 0.875000\n", + "L = 36.436254, acc = 0.875000\n", + "L = 36.424242, acc = 0.875000\n", + "L = 36.412179, acc = 0.875000\n", + "L = 36.400067, acc = 0.875000\n", + "L = 36.387905, acc = 0.875000\n", + "L = 36.375692, acc = 0.875000\n", + "L = 36.363430, acc = 0.875000\n", + "L = 36.351117, acc = 0.875000\n", + "L = 36.338754, acc = 0.875000\n", + "L = 36.326341, acc = 0.875000\n", + "L = 36.313877, acc = 0.875000\n", + "L = 36.301363, acc = 0.875000\n", + "L = 36.288799, acc = 0.875000\n", + "L = 36.276184, acc = 0.875000\n", + "L = 36.263519, acc = 0.875000\n", + "L = 36.250803, acc = 0.875000\n", + "L = 36.238037, acc = 0.875000\n", + "L = 36.225221, acc = 0.875000\n", + "L = 36.212353, acc = 0.875000\n", + "L = 36.199435, acc = 0.875000\n", + "L = 36.186467, acc = 0.875000\n", + "L = 36.173448, acc = 0.880000\n", + "L = 36.160378, acc = 0.880000\n", + "L = 36.147258, acc = 0.880000\n", + "L = 36.134087, acc = 0.880000\n", + "L = 36.120866, acc = 0.880000\n", + "L = 36.107593, acc = 0.880000\n", + "L = 36.094271, acc = 0.880000\n", + "L = 36.080897, acc = 0.880000\n", + "L = 36.067473, acc = 0.880000\n", + "L = 36.053998, acc = 0.880000\n", + "L = 36.040473, acc = 0.880000\n", + "L = 36.026897, acc = 0.880000\n", + "L = 36.013271, acc = 0.880000\n", + "L = 35.999593, acc = 0.880000\n", + "L = 35.985866, acc = 0.880000\n", + "L = 35.972088, acc = 0.880000\n", + "L = 35.958259, acc = 0.880000\n", + "L = 35.944380, acc = 0.880000\n", + "L = 35.930451, acc = 0.880000\n", + "L = 35.916471, acc = 0.880000\n", + "L = 35.902441, acc = 0.880000\n", + "L = 35.888361, acc = 0.880000\n", + "L = 35.874230, acc = 0.880000\n", + "L = 35.860049, acc = 0.880000\n", + "L = 35.845818, acc = 0.885000\n", + "L = 35.831537, acc = 0.885000\n", + "L = 35.817206, acc = 0.885000\n", + "L = 35.802825, acc = 0.885000\n", + "L = 35.788394, acc = 0.885000\n", + "L = 35.773913, acc = 0.885000\n", + "L = 35.759382, acc = 0.885000\n", + "L = 35.744802, acc = 0.885000\n", + "L = 35.730171, acc = 0.885000\n", + "L = 35.715492, acc = 0.885000\n", + "L = 35.700763, acc = 0.885000\n", + "L = 35.685984, acc = 0.885000\n", + "L = 35.671156, acc = 0.885000\n", + "L = 35.656279, acc = 0.885000\n", + "L = 35.641353, acc = 0.885000\n", + "L = 35.626377, acc = 0.885000\n", + "L = 35.611353, acc = 0.885000\n", + "L = 35.596280, acc = 0.885000\n", + "L = 35.581158, acc = 0.885000\n", + "L = 35.565987, acc = 0.885000\n", + "L = 35.550768, acc = 0.885000\n", + "L = 35.535500, acc = 0.885000\n", + "L = 35.520184, acc = 0.885000\n", + "L = 35.504820, acc = 0.885000\n", + "L = 35.489407, acc = 0.885000\n", + "L = 35.473947, acc = 0.885000\n", + "L = 35.458439, acc = 0.885000\n", + "L = 35.442882, acc = 0.885000\n", + "L = 35.427279, acc = 0.885000\n", + "L = 35.411628, acc = 0.885000\n", + "L = 35.395929, acc = 0.885000\n", + "L = 35.380183, acc = 0.885000\n", + "L = 35.364390, acc = 0.885000\n", + "L = 35.348551, acc = 0.885000\n", + "L = 35.332664, acc = 0.885000\n", + "L = 35.316731, acc = 0.885000\n", + "L = 35.300751, acc = 0.885000\n", + "L = 35.284725, acc = 0.885000\n", + "L = 35.268652, acc = 0.885000\n", + "L = 35.252534, acc = 0.885000\n", + "L = 35.236370, acc = 0.885000\n", + "L = 35.220160, acc = 0.885000\n", + "L = 35.203904, acc = 0.885000\n", + "L = 35.187603, acc = 0.885000\n", + "L = 35.171257, acc = 0.885000\n", + "L = 35.154866, acc = 0.885000\n", + "L = 35.138430, acc = 0.885000\n", + "L = 35.121949, acc = 0.890000\n", + "L = 35.105424, acc = 0.890000\n", + "L = 35.088854, acc = 0.890000\n", + "L = 35.072240, acc = 0.890000\n", + "L = 35.055582, acc = 0.890000\n", + "L = 35.038881, acc = 0.890000\n", + "L = 35.022136, acc = 0.890000\n", + "L = 35.005347, acc = 0.890000\n", + "L = 34.988515, acc = 0.890000\n", + "L = 34.971641, acc = 0.890000\n", + "L = 34.954723, acc = 0.890000\n", + "L = 34.937763, acc = 0.890000\n", + "L = 34.920760, acc = 0.890000\n", + "L = 34.903716, acc = 0.890000\n", + "L = 34.886629, acc = 0.890000\n", + "L = 34.869501, acc = 0.890000\n", + "L = 34.852331, acc = 0.890000\n", + "L = 34.835120, acc = 0.890000\n", + "L = 34.817867, acc = 0.890000\n", + "L = 34.800574, acc = 0.890000\n", + "L = 34.783240, acc = 0.895000\n", + "L = 34.765866, acc = 0.895000\n", + "L = 34.748452, acc = 0.895000\n", + "L = 34.730997, acc = 0.895000\n", + "L = 34.713503, acc = 0.895000\n", + "L = 34.695970, acc = 0.895000\n", + "L = 34.678397, acc = 0.895000\n", + "L = 34.660785, acc = 0.895000\n", + "L = 34.643134, acc = 0.895000\n", + "L = 34.625445, acc = 0.895000\n", + "L = 34.607718, acc = 0.895000\n", + "L = 34.589952, acc = 0.895000\n", + "L = 34.572149, acc = 0.895000\n", + "L = 34.554308, acc = 0.895000\n", + "L = 34.536429, acc = 0.895000\n", + "L = 34.518514, acc = 0.895000\n", + "L = 34.500562, acc = 0.895000\n", + "L = 34.482574, acc = 0.895000\n", + "L = 34.464549, acc = 0.895000\n", + "L = 34.446488, acc = 0.895000\n", + "L = 34.428391, acc = 0.895000\n", + "L = 34.410259, acc = 0.895000\n", + "L = 34.392092, acc = 0.895000\n", + "L = 34.373889, acc = 0.895000\n", + "L = 34.355652, acc = 0.895000\n", + "L = 34.337381, acc = 0.895000\n", + "L = 34.319075, acc = 0.895000\n", + "L = 34.300736, acc = 0.895000\n", + "L = 34.282362, acc = 0.895000\n", + "L = 34.263956, acc = 0.895000\n", + "L = 34.245516, acc = 0.895000\n", + "L = 34.227044, acc = 0.895000\n", + "L = 34.208539, acc = 0.895000\n", + "L = 34.190002, acc = 0.895000\n", + "L = 34.171432, acc = 0.895000\n", + "L = 34.152831, acc = 0.895000\n", + "L = 34.134199, acc = 0.895000\n", + "L = 34.115536, acc = 0.895000\n", + "L = 34.096841, acc = 0.895000\n", + "L = 34.078117, acc = 0.895000\n", + "L = 34.059361, acc = 0.895000\n", + "L = 34.040576, acc = 0.895000\n", + "L = 34.021761, acc = 0.895000\n", + "L = 34.002917, acc = 0.895000\n", + "L = 33.984043, acc = 0.895000\n", + "L = 33.965141, acc = 0.895000\n", + "L = 33.946210, acc = 0.895000\n", + "L = 33.927251, acc = 0.895000\n", + "L = 33.908264, acc = 0.895000\n", + "L = 33.889249, acc = 0.895000\n", + "L = 33.870206, acc = 0.895000\n", + "L = 33.851137, acc = 0.895000\n", + "L = 33.832040, acc = 0.895000\n", + "L = 33.812917, acc = 0.895000\n", + "L = 33.793768, acc = 0.895000\n", + "L = 33.774593, acc = 0.895000\n", + "L = 33.755392, acc = 0.895000\n", + "L = 33.736165, acc = 0.895000\n", + "L = 33.716914, acc = 0.895000\n", + "L = 33.697638, acc = 0.895000\n", + "L = 33.678337, acc = 0.895000\n", + "L = 33.659012, acc = 0.895000\n", + "L = 33.639663, acc = 0.895000\n", + "L = 33.620290, acc = 0.895000\n", + "L = 33.600894, acc = 0.895000\n", + "L = 33.581474, acc = 0.895000\n", + "L = 33.562032, acc = 0.895000\n", + "L = 33.542568, acc = 0.895000\n", + "L = 33.523081, acc = 0.895000\n", + "L = 33.503572, acc = 0.895000\n", + "L = 33.484041, acc = 0.895000\n", + "L = 33.464489, acc = 0.895000\n", + "L = 33.444916, acc = 0.895000\n", + "L = 33.425323, acc = 0.895000\n", + "L = 33.405708, acc = 0.895000\n", + "L = 33.386074, acc = 0.895000\n", + "L = 33.366419, acc = 0.895000\n", + "L = 33.346745, acc = 0.895000\n", + "L = 33.327051, acc = 0.895000\n", + "L = 33.307339, acc = 0.895000\n", + "L = 33.287607, acc = 0.895000\n", + "L = 33.267857, acc = 0.895000\n", + "L = 33.248089, acc = 0.895000\n", + "L = 33.228302, acc = 0.895000\n", + "L = 33.208498, acc = 0.895000\n", + "L = 33.188677, acc = 0.895000\n", + "L = 33.168838, acc = 0.895000\n", + "L = 33.148982, acc = 0.895000\n", + "L = 33.129110, acc = 0.895000\n", + "L = 33.109221, acc = 0.895000\n", + "L = 33.089317, acc = 0.895000\n", + "L = 33.069396, acc = 0.895000\n", + "L = 33.049460, acc = 0.895000\n", + "L = 33.029509, acc = 0.895000\n", + "L = 33.009543, acc = 0.895000\n", + "L = 32.989562, acc = 0.895000\n", + "L = 32.969566, acc = 0.895000\n", + "L = 32.949556, acc = 0.895000\n", + "L = 32.929533, acc = 0.895000\n", + "L = 32.909495, acc = 0.895000\n", + "L = 32.889445, acc = 0.895000\n", + "L = 32.869381, acc = 0.895000\n", + "L = 32.849304, acc = 0.895000\n", + "L = 32.829215, acc = 0.895000\n", + "L = 32.809113, acc = 0.895000\n", + "L = 32.788999, acc = 0.895000\n", + "L = 32.768873, acc = 0.895000\n", + "L = 32.748736, acc = 0.895000\n", + "L = 32.728587, acc = 0.895000\n", + "L = 32.708427, acc = 0.895000\n", + "L = 32.688257, acc = 0.895000\n", + "L = 32.668075, acc = 0.895000\n", + "L = 32.647884, acc = 0.895000\n", + "L = 32.627682, acc = 0.895000\n", + "L = 32.607470, acc = 0.895000\n", + "L = 32.587249, acc = 0.895000\n", + "L = 32.567018, acc = 0.895000\n", + "L = 32.546778, acc = 0.895000\n", + "L = 32.526529, acc = 0.895000\n", + "L = 32.506271, acc = 0.895000\n", + "L = 32.486005, acc = 0.895000\n", + "L = 32.465731, acc = 0.895000\n", + "L = 32.445449, acc = 0.900000\n", + "L = 32.425159, acc = 0.900000\n", + "L = 32.404862, acc = 0.900000\n", + "L = 32.384557, acc = 0.900000\n", + "L = 32.364245, acc = 0.900000\n", + "L = 32.343926, acc = 0.900000\n", + "L = 32.323601, acc = 0.900000\n", + "L = 32.303270, acc = 0.900000\n", + "L = 32.282932, acc = 0.900000\n", + "L = 32.262588, acc = 0.900000\n", + "L = 32.242239, acc = 0.900000\n", + "L = 32.221884, acc = 0.900000\n", + "L = 32.201523, acc = 0.900000\n", + "L = 32.181158, acc = 0.900000\n", + "L = 32.160788, acc = 0.900000\n", + "L = 32.140413, acc = 0.900000\n", + "L = 32.120034, acc = 0.900000\n", + "L = 32.099650, acc = 0.900000\n", + "L = 32.079262, acc = 0.900000\n", + "L = 32.058871, acc = 0.900000\n", + "L = 32.038476, acc = 0.900000\n", + "L = 32.018078, acc = 0.900000\n", + "L = 31.997676, acc = 0.900000\n", + "L = 31.977272, acc = 0.900000\n", + "L = 31.956864, acc = 0.900000\n", + "L = 31.936454, acc = 0.900000\n", + "L = 31.916042, acc = 0.900000\n", + "L = 31.895627, acc = 0.900000\n", + "L = 31.875211, acc = 0.900000\n", + "L = 31.854792, acc = 0.900000\n", + "L = 31.834372, acc = 0.900000\n", + "L = 31.813951, acc = 0.900000\n", + "L = 31.793528, acc = 0.900000\n", + "L = 31.773104, acc = 0.900000\n", + "L = 31.752679, acc = 0.900000\n", + "L = 31.732254, acc = 0.900000\n", + "L = 31.711828, acc = 0.900000\n", + "L = 31.691402, acc = 0.900000\n", + "L = 31.670975, acc = 0.900000\n", + "L = 31.650549, acc = 0.900000\n", + "L = 31.630123, acc = 0.900000\n", + "L = 31.609697, acc = 0.900000\n", + "L = 31.589272, acc = 0.900000\n", + "L = 31.568847, acc = 0.900000\n", + "L = 31.548423, acc = 0.900000\n", + "L = 31.528001, acc = 0.900000\n", + "L = 31.507580, acc = 0.900000\n", + "L = 31.487160, acc = 0.900000\n", + "L = 31.466741, acc = 0.900000\n", + "L = 31.446325, acc = 0.900000\n", + "L = 31.425910, acc = 0.900000\n", + "L = 31.405497, acc = 0.900000\n", + "L = 31.385087, acc = 0.900000\n", + "L = 31.364679, acc = 0.900000\n", + "L = 31.344274, acc = 0.900000\n", + "L = 31.323871, acc = 0.900000\n", + "L = 31.303471, acc = 0.900000\n", + "L = 31.283074, acc = 0.900000\n", + "L = 31.262680, acc = 0.900000\n", + "L = 31.242290, acc = 0.900000\n", + "L = 31.221903, acc = 0.900000\n", + "L = 31.201520, acc = 0.900000\n", + "L = 31.181141, acc = 0.900000\n", + "L = 31.160765, acc = 0.900000\n", + "L = 31.140393, acc = 0.905000\n", + "L = 31.120026, acc = 0.905000\n", + "L = 31.099663, acc = 0.905000\n", + "L = 31.079305, acc = 0.905000\n", + "L = 31.058951, acc = 0.905000\n", + "L = 31.038602, acc = 0.905000\n", + "L = 31.018258, acc = 0.905000\n", + "L = 30.997919, acc = 0.905000\n", + "L = 30.977585, acc = 0.905000\n", + "L = 30.957256, acc = 0.905000\n", + "L = 30.936933, acc = 0.905000\n", + "L = 30.916616, acc = 0.905000\n", + "L = 30.896304, acc = 0.905000\n", + "L = 30.875998, acc = 0.905000\n", + "L = 30.855698, acc = 0.905000\n", + "L = 30.835404, acc = 0.905000\n", + "L = 30.815117, acc = 0.905000\n", + "L = 30.794836, acc = 0.905000\n", + "L = 30.774561, acc = 0.905000\n", + "L = 30.754293, acc = 0.905000\n", + "L = 30.734031, acc = 0.905000\n", + "L = 30.713777, acc = 0.905000\n", + "L = 30.693529, acc = 0.905000\n", + "L = 30.673288, acc = 0.905000\n", + "L = 30.653055, acc = 0.905000\n", + "L = 30.632829, acc = 0.905000\n", + "L = 30.612610, acc = 0.905000\n", + "L = 30.592399, acc = 0.905000\n", + "L = 30.572196, acc = 0.905000\n", + "L = 30.552000, acc = 0.905000\n", + "L = 30.531812, acc = 0.905000\n", + "L = 30.511633, acc = 0.905000\n", + "L = 30.491461, acc = 0.905000\n", + "L = 30.471297, acc = 0.905000\n", + "L = 30.451142, acc = 0.905000\n", + "L = 30.430995, acc = 0.905000\n", + "L = 30.410857, acc = 0.905000\n", + "L = 30.390727, acc = 0.905000\n", + "L = 30.370606, acc = 0.905000\n", + "L = 30.350494, acc = 0.905000\n", + "L = 30.330391, acc = 0.905000\n", + "L = 30.310296, acc = 0.905000\n", + "L = 30.290211, acc = 0.905000\n", + "L = 30.270135, acc = 0.905000\n", + "L = 30.250069, acc = 0.905000\n", + "L = 30.230011, acc = 0.905000\n", + "L = 30.209963, acc = 0.905000\n", + "L = 30.189925, acc = 0.905000\n", + "L = 30.169896, acc = 0.905000\n", + "L = 30.149878, acc = 0.905000\n", + "L = 30.129868, acc = 0.905000\n", + "L = 30.109869, acc = 0.905000\n", + "L = 30.089880, acc = 0.905000\n", + "L = 30.069901, acc = 0.905000\n", + "L = 30.049932, acc = 0.905000\n", + "L = 30.029974, acc = 0.905000\n", + "L = 30.010025, acc = 0.905000\n", + "L = 29.990087, acc = 0.905000\n", + "L = 29.970160, acc = 0.905000\n", + "L = 29.950243, acc = 0.905000\n", + "L = 29.930337, acc = 0.905000\n", + "L = 29.910442, acc = 0.905000\n", + "L = 29.890557, acc = 0.905000\n", + "L = 29.870683, acc = 0.905000\n", + "L = 29.850820, acc = 0.905000\n", + "L = 29.830969, acc = 0.905000\n", + "L = 29.811128, acc = 0.905000\n", + "L = 29.791298, acc = 0.905000\n", + "L = 29.771480, acc = 0.905000\n", + "L = 29.751673, acc = 0.905000\n", + "L = 29.731877, acc = 0.905000\n", + "L = 29.712093, acc = 0.905000\n", + "L = 29.692320, acc = 0.905000\n", + "L = 29.672559, acc = 0.905000\n", + "L = 29.652810, acc = 0.905000\n", + "L = 29.633072, acc = 0.905000\n", + "L = 29.613346, acc = 0.915000\n", + "L = 29.593631, acc = 0.915000\n", + "L = 29.573929, acc = 0.915000\n", + "L = 29.554239, acc = 0.915000\n", + "L = 29.534560, acc = 0.915000\n", + "L = 29.514894, acc = 0.915000\n", + "L = 29.495239, acc = 0.915000\n", + "L = 29.475597, acc = 0.915000\n", + "L = 29.455967, acc = 0.915000\n", + "L = 29.436350, acc = 0.915000\n", + "L = 29.416744, acc = 0.915000\n", + "L = 29.397151, acc = 0.915000\n", + "L = 29.377571, acc = 0.915000\n", + "L = 29.358003, acc = 0.915000\n", + "L = 29.338447, acc = 0.915000\n", + "L = 29.318904, acc = 0.915000\n", + "L = 29.299374, acc = 0.915000\n", + "L = 29.279856, acc = 0.915000\n", + "L = 29.260351, acc = 0.915000\n", + "L = 29.240859, acc = 0.915000\n", + "L = 29.221379, acc = 0.915000\n", + "L = 29.201913, acc = 0.915000\n", + "L = 29.182459, acc = 0.915000\n", + "L = 29.163018, acc = 0.915000\n", + "L = 29.143591, acc = 0.915000\n", + "L = 29.124176, acc = 0.915000\n", + "L = 29.104774, acc = 0.915000\n", + "L = 29.085385, acc = 0.915000\n", + "L = 29.066010, acc = 0.915000\n", + "L = 29.046648, acc = 0.915000\n", + "L = 29.027299, acc = 0.915000\n", + "L = 29.007963, acc = 0.915000\n", + "L = 28.988640, acc = 0.915000\n", + "L = 28.969331, acc = 0.915000\n", + "L = 28.950035, acc = 0.915000\n", + "L = 28.930753, acc = 0.915000\n", + "L = 28.911483, acc = 0.915000\n", + "L = 28.892228, acc = 0.915000\n", + "L = 28.872986, acc = 0.915000\n", + "L = 28.853757, acc = 0.915000\n", + "L = 28.834542, acc = 0.915000\n", + "L = 28.815340, acc = 0.915000\n", + "L = 28.796152, acc = 0.915000\n", + "L = 28.776978, acc = 0.915000\n", + "L = 28.757817, acc = 0.915000\n", + "L = 28.738670, acc = 0.915000\n", + "L = 28.719537, acc = 0.915000\n", + "L = 28.700417, acc = 0.915000\n", + "L = 28.681311, acc = 0.915000\n", + "L = 28.662219, acc = 0.915000\n", + "L = 28.643141, acc = 0.915000\n", + "L = 28.624076, acc = 0.915000\n", + "L = 28.605026, acc = 0.915000\n", + "L = 28.585989, acc = 0.915000\n", + "L = 28.566966, acc = 0.915000\n", + "L = 28.547957, acc = 0.915000\n", + "L = 28.528962, acc = 0.915000\n", + "L = 28.509980, acc = 0.915000\n", + "L = 28.491013, acc = 0.915000\n", + "L = 28.472060, acc = 0.915000\n", + "L = 28.453121, acc = 0.915000\n", + "L = 28.434195, acc = 0.915000\n", + "L = 28.415284, acc = 0.915000\n", + "L = 28.396387, acc = 0.915000\n", + "L = 28.377504, acc = 0.915000\n", + "L = 28.358635, acc = 0.915000\n", + "L = 28.339780, acc = 0.915000\n", + "L = 28.320939, acc = 0.915000\n", + "L = 28.302112, acc = 0.915000\n", + "L = 28.283299, acc = 0.915000\n", + "L = 28.264500, acc = 0.915000\n", + "L = 28.245716, acc = 0.915000\n", + "L = 28.226945, acc = 0.915000\n", + "L = 28.208189, acc = 0.915000\n", + "L = 28.189447, acc = 0.915000\n", + "L = 28.170719, acc = 0.915000\n", + "L = 28.152006, acc = 0.915000\n", + "L = 28.133306, acc = 0.915000\n", + "L = 28.114621, acc = 0.915000\n", + "L = 28.095950, acc = 0.915000\n", + "L = 28.077293, acc = 0.915000\n", + "L = 28.058650, acc = 0.915000\n", + "L = 28.040021, acc = 0.915000\n", + "L = 28.021407, acc = 0.915000\n", + "L = 28.002807, acc = 0.915000\n", + "L = 27.984221, acc = 0.915000\n", + "L = 27.965649, acc = 0.915000\n", + "L = 27.947092, acc = 0.915000\n", + "L = 27.928549, acc = 0.915000\n", + "L = 27.910020, acc = 0.915000\n", + "L = 27.891505, acc = 0.915000\n", + "L = 27.873004, acc = 0.915000\n", + "L = 27.854518, acc = 0.915000\n", + "L = 27.836046, acc = 0.915000\n", + "L = 27.817588, acc = 0.915000\n", + "L = 27.799144, acc = 0.915000\n", + "L = 27.780715, acc = 0.915000\n", + "L = 27.762300, acc = 0.915000\n", + "L = 27.743899, acc = 0.915000\n", + "L = 27.725512, acc = 0.915000\n", + "L = 27.707140, acc = 0.915000\n", + "L = 27.688781, acc = 0.915000\n", + "L = 27.670437, acc = 0.915000\n", + "L = 27.652107, acc = 0.915000\n", + "L = 27.633791, acc = 0.915000\n", + "L = 27.615490, acc = 0.915000\n", + "L = 27.597202, acc = 0.915000\n", + "L = 27.578929, acc = 0.915000\n", + "L = 27.560670, acc = 0.915000\n", + "L = 27.542425, acc = 0.915000\n", + "L = 27.524194, acc = 0.915000\n", + "L = 27.505977, acc = 0.915000\n", + "L = 27.487775, acc = 0.915000\n", + "L = 27.469586, acc = 0.915000\n", + "L = 27.451412, acc = 0.915000\n", + "L = 27.433252, acc = 0.915000\n", + "L = 27.415106, acc = 0.915000\n", + "L = 27.396973, acc = 0.915000\n", + "L = 27.378855, acc = 0.915000\n", + "L = 27.360751, acc = 0.915000\n", + "L = 27.342662, acc = 0.915000\n", + "L = 27.324586, acc = 0.915000\n", + "L = 27.306524, acc = 0.915000\n", + "L = 27.288476, acc = 0.915000\n", + "L = 27.270442, acc = 0.915000\n", + "L = 27.252422, acc = 0.915000\n", + "L = 27.234416, acc = 0.915000\n", + "L = 27.216424, acc = 0.915000\n", + "L = 27.198446, acc = 0.915000\n", + "L = 27.180482, acc = 0.920000\n", + "L = 27.162532, acc = 0.920000\n", + "L = 27.144595, acc = 0.920000\n", + "L = 27.126673, acc = 0.920000\n", + "L = 27.108764, acc = 0.920000\n", + "L = 27.090869, acc = 0.920000\n", + "L = 27.072988, acc = 0.920000\n", + "L = 27.055121, acc = 0.920000\n", + "L = 27.037267, acc = 0.920000\n", + "L = 27.019427, acc = 0.920000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "L = 27.001601, acc = 0.920000\n", + "L = 26.983789, acc = 0.925000\n", + "L = 26.965991, acc = 0.925000\n", + "L = 26.948206, acc = 0.925000\n", + "L = 26.930434, acc = 0.925000\n", + "L = 26.912677, acc = 0.925000\n", + "L = 26.894933, acc = 0.925000\n", + "L = 26.877202, acc = 0.925000\n", + "L = 26.859486, acc = 0.925000\n", + "L = 26.841782, acc = 0.925000\n", + "L = 26.824093, acc = 0.925000\n", + "L = 26.806416, acc = 0.925000\n", + "L = 26.788754, acc = 0.925000\n", + "L = 26.771104, acc = 0.925000\n", + "L = 26.753468, acc = 0.925000\n", + "L = 26.735846, acc = 0.925000\n", + "L = 26.718237, acc = 0.925000\n", + "L = 26.700641, acc = 0.925000\n", + "L = 26.683059, acc = 0.925000\n", + "L = 26.665490, acc = 0.925000\n", + "L = 26.647934, acc = 0.925000\n", + "L = 26.630391, acc = 0.925000\n", + "L = 26.612862, acc = 0.925000\n", + "L = 26.595346, acc = 0.930000\n", + "L = 26.577843, acc = 0.935000\n", + "L = 26.560353, acc = 0.935000\n", + "L = 26.542877, acc = 0.935000\n", + "L = 26.525413, acc = 0.935000\n", + "L = 26.507963, acc = 0.935000\n", + "L = 26.490525, acc = 0.935000\n", + "L = 26.473101, acc = 0.935000\n", + "L = 26.455690, acc = 0.935000\n", + "L = 26.438291, acc = 0.935000\n", + "L = 26.420905, acc = 0.935000\n", + "L = 26.403533, acc = 0.935000\n", + "L = 26.386173, acc = 0.935000\n", + "L = 26.368826, acc = 0.935000\n", + "L = 26.351492, acc = 0.935000\n", + "L = 26.334170, acc = 0.935000\n", + "L = 26.316862, acc = 0.935000\n", + "L = 26.299566, acc = 0.935000\n", + "L = 26.282283, acc = 0.935000\n", + "L = 26.265012, acc = 0.935000\n", + "L = 26.247754, acc = 0.935000\n", + "L = 26.230508, acc = 0.935000\n", + "L = 26.213276, acc = 0.935000\n", + "L = 26.196055, acc = 0.935000\n", + "L = 26.178847, acc = 0.935000\n", + "L = 26.161652, acc = 0.935000\n", + "L = 26.144469, acc = 0.935000\n", + "L = 26.127298, acc = 0.935000\n", + "L = 26.110140, acc = 0.935000\n", + "L = 26.092994, acc = 0.935000\n", + "L = 26.075860, acc = 0.935000\n", + "L = 26.058738, acc = 0.935000\n", + "L = 26.041629, acc = 0.935000\n", + "L = 26.024532, acc = 0.935000\n", + "L = 26.007447, acc = 0.935000\n", + "L = 25.990374, acc = 0.935000\n", + "L = 25.973313, acc = 0.935000\n", + "L = 25.956264, acc = 0.935000\n", + "L = 25.939227, acc = 0.935000\n", + "L = 25.922202, acc = 0.935000\n", + "L = 25.905189, acc = 0.935000\n", + "L = 25.888188, acc = 0.935000\n", + "L = 25.871198, acc = 0.935000\n", + "L = 25.854221, acc = 0.935000\n", + "L = 25.837255, acc = 0.935000\n", + "L = 25.820301, acc = 0.935000\n", + "L = 25.803358, acc = 0.935000\n", + "L = 25.786427, acc = 0.935000\n", + "L = 25.769508, acc = 0.935000\n", + "L = 25.752600, acc = 0.935000\n", + "L = 25.735704, acc = 0.935000\n", + "L = 25.718819, acc = 0.935000\n", + "L = 25.701946, acc = 0.935000\n", + "L = 25.685084, acc = 0.935000\n", + "L = 25.668233, acc = 0.935000\n", + "L = 25.651394, acc = 0.935000\n", + "L = 25.634566, acc = 0.935000\n", + "L = 25.617749, acc = 0.935000\n", + "L = 25.600943, acc = 0.935000\n", + "L = 25.584148, acc = 0.935000\n", + "L = 25.567365, acc = 0.935000\n", + "L = 25.550592, acc = 0.935000\n", + "L = 25.533831, acc = 0.935000\n", + "L = 25.517080, acc = 0.935000\n", + "L = 25.500341, acc = 0.935000\n", + "L = 25.483612, acc = 0.935000\n", + "L = 25.466894, acc = 0.935000\n", + "L = 25.450187, acc = 0.935000\n", + "L = 25.433491, acc = 0.935000\n", + "L = 25.416805, acc = 0.935000\n", + "L = 25.400130, acc = 0.935000\n", + "L = 25.383465, acc = 0.935000\n", + "L = 25.366811, acc = 0.935000\n", + "L = 25.350168, acc = 0.935000\n", + "L = 25.333535, acc = 0.935000\n", + "L = 25.316912, acc = 0.935000\n", + "L = 25.300300, acc = 0.935000\n", + "L = 25.283698, acc = 0.935000\n", + "L = 25.267106, acc = 0.935000\n", + "L = 25.250525, acc = 0.935000\n", + "L = 25.233954, acc = 0.935000\n", + "L = 25.217393, acc = 0.935000\n", + "L = 25.200842, acc = 0.935000\n", + "L = 25.184301, acc = 0.935000\n", + "L = 25.167769, acc = 0.935000\n", + "L = 25.151248, acc = 0.935000\n", + "L = 25.134737, acc = 0.935000\n", + "L = 25.118236, acc = 0.935000\n", + "L = 25.101744, acc = 0.935000\n", + "L = 25.085262, acc = 0.935000\n", + "L = 25.068790, acc = 0.935000\n", + "L = 25.052327, acc = 0.935000\n", + "L = 25.035874, acc = 0.935000\n", + "L = 25.019431, acc = 0.935000\n", + "L = 25.002997, acc = 0.935000\n", + "L = 24.986572, acc = 0.935000\n", + "L = 24.970157, acc = 0.935000\n", + "L = 24.953751, acc = 0.935000\n", + "L = 24.937355, acc = 0.935000\n", + "L = 24.920967, acc = 0.935000\n", + "L = 24.904589, acc = 0.935000\n", + "L = 24.888220, acc = 0.935000\n", + "L = 24.871860, acc = 0.935000\n", + "L = 24.855509, acc = 0.935000\n", + "L = 24.839167, acc = 0.935000\n", + "L = 24.822834, acc = 0.935000\n", + "L = 24.806510, acc = 0.935000\n", + "L = 24.790195, acc = 0.935000\n", + "L = 24.773888, acc = 0.935000\n", + "L = 24.757590, acc = 0.935000\n", + "L = 24.741301, acc = 0.935000\n", + "L = 24.725020, acc = 0.935000\n", + "L = 24.708748, acc = 0.935000\n", + "L = 24.692484, acc = 0.940000\n", + "L = 24.676229, acc = 0.940000\n", + "L = 24.659982, acc = 0.940000\n", + "L = 24.643744, acc = 0.940000\n", + "L = 24.627513, acc = 0.940000\n", + "L = 24.611291, acc = 0.940000\n", + "L = 24.595078, acc = 0.940000\n", + "L = 24.578872, acc = 0.940000\n", + "L = 24.562674, acc = 0.940000\n", + "L = 24.546485, acc = 0.940000\n", + "L = 24.530303, acc = 0.940000\n", + "L = 24.514129, acc = 0.940000\n", + "L = 24.497963, acc = 0.940000\n", + "L = 24.481805, acc = 0.940000\n", + "L = 24.465655, acc = 0.940000\n", + "L = 24.449512, acc = 0.940000\n", + "L = 24.433377, acc = 0.940000\n", + "L = 24.417249, acc = 0.940000\n", + "L = 24.401129, acc = 0.940000\n", + "L = 24.385016, acc = 0.940000\n", + "L = 24.368911, acc = 0.940000\n", + "L = 24.352813, acc = 0.940000\n", + "L = 24.336723, acc = 0.940000\n", + "L = 24.320639, acc = 0.940000\n", + "L = 24.304563, acc = 0.940000\n", + "L = 24.288494, acc = 0.940000\n", + "L = 24.272432, acc = 0.940000\n", + "L = 24.256377, acc = 0.940000\n", + "L = 24.240329, acc = 0.940000\n", + "L = 24.224288, acc = 0.940000\n", + "L = 24.208254, acc = 0.940000\n", + "L = 24.192226, acc = 0.940000\n", + "L = 24.176205, acc = 0.940000\n", + "L = 24.160191, acc = 0.940000\n", + "L = 24.144184, acc = 0.940000\n", + "L = 24.128183, acc = 0.940000\n", + "L = 24.112189, acc = 0.940000\n", + "L = 24.096201, acc = 0.940000\n", + "L = 24.080219, acc = 0.940000\n", + "L = 24.064244, acc = 0.940000\n", + "L = 24.048275, acc = 0.940000\n", + "L = 24.032313, acc = 0.940000\n", + "L = 24.016356, acc = 0.940000\n", + "L = 24.000406, acc = 0.940000\n", + "L = 23.984461, acc = 0.940000\n", + "L = 23.968523, acc = 0.940000\n", + "L = 23.952591, acc = 0.940000\n", + "L = 23.936664, acc = 0.940000\n", + "L = 23.920744, acc = 0.940000\n", + "L = 23.904829, acc = 0.940000\n", + "L = 23.888920, acc = 0.940000\n", + "L = 23.873016, acc = 0.940000\n", + "L = 23.857119, acc = 0.940000\n", + "L = 23.841226, acc = 0.940000\n", + "L = 23.825340, acc = 0.940000\n", + "L = 23.809459, acc = 0.940000\n", + "L = 23.793583, acc = 0.940000\n", + "L = 23.777712, acc = 0.940000\n", + "L = 23.761847, acc = 0.940000\n", + "L = 23.745987, acc = 0.940000\n", + "L = 23.730133, acc = 0.940000\n", + "L = 23.714283, acc = 0.940000\n", + "L = 23.698438, acc = 0.940000\n", + "L = 23.682599, acc = 0.940000\n", + "L = 23.666764, acc = 0.940000\n", + "L = 23.650935, acc = 0.940000\n", + "L = 23.635110, acc = 0.940000\n", + "L = 23.619290, acc = 0.940000\n", + "L = 23.603475, acc = 0.940000\n", + "L = 23.587665, acc = 0.940000\n", + "L = 23.571859, acc = 0.940000\n", + "L = 23.556058, acc = 0.940000\n", + "L = 23.540261, acc = 0.940000\n", + "L = 23.524469, acc = 0.940000\n", + "L = 23.508682, acc = 0.940000\n", + "L = 23.492899, acc = 0.940000\n", + "L = 23.477120, acc = 0.940000\n", + "L = 23.461345, acc = 0.940000\n", + "L = 23.445575, acc = 0.940000\n", + "L = 23.429809, acc = 0.940000\n", + "L = 23.414047, acc = 0.940000\n", + "L = 23.398289, acc = 0.940000\n", + "L = 23.382536, acc = 0.940000\n", + "L = 23.366786, acc = 0.940000\n", + "L = 23.351040, acc = 0.940000\n", + "L = 23.335299, acc = 0.940000\n", + "L = 23.319561, acc = 0.940000\n", + "L = 23.303827, acc = 0.940000\n", + "L = 23.288096, acc = 0.940000\n", + "L = 23.272370, acc = 0.940000\n", + "L = 23.256647, acc = 0.940000\n", + "L = 23.240927, acc = 0.940000\n", + "L = 23.225212, acc = 0.940000\n", + "L = 23.209500, acc = 0.940000\n", + "L = 23.193791, acc = 0.940000\n", + "L = 23.178086, acc = 0.940000\n", + "L = 23.162384, acc = 0.940000\n", + "L = 23.146686, acc = 0.940000\n", + "L = 23.130991, acc = 0.940000\n", + "L = 23.115299, acc = 0.940000\n", + "L = 23.099610, acc = 0.940000\n", + "L = 23.083925, acc = 0.940000\n", + "L = 23.068243, acc = 0.940000\n", + "L = 23.052564, acc = 0.940000\n", + "L = 23.036888, acc = 0.940000\n", + "L = 23.021215, acc = 0.940000\n", + "L = 23.005545, acc = 0.940000\n", + "L = 22.989879, acc = 0.940000\n", + "L = 22.974215, acc = 0.940000\n", + "L = 22.958554, acc = 0.940000\n", + "L = 22.942895, acc = 0.940000\n", + "L = 22.927240, acc = 0.940000\n", + "L = 22.911587, acc = 0.940000\n", + "L = 22.895938, acc = 0.940000\n", + "L = 22.880290, acc = 0.940000\n", + "L = 22.864646, acc = 0.940000\n", + "L = 22.849004, acc = 0.940000\n", + "L = 22.833365, acc = 0.940000\n", + "L = 22.817728, acc = 0.940000\n", + "L = 22.802094, acc = 0.940000\n", + "L = 22.786463, acc = 0.940000\n", + "L = 22.770834, acc = 0.940000\n", + "L = 22.755207, acc = 0.940000\n", + "L = 22.739583, acc = 0.940000\n", + "L = 22.723961, acc = 0.940000\n", + "L = 22.708342, acc = 0.940000\n", + "L = 22.692725, acc = 0.940000\n", + "L = 22.677110, acc = 0.940000\n", + "L = 22.661498, acc = 0.940000\n", + "L = 22.645887, acc = 0.940000\n", + "L = 22.630280, acc = 0.940000\n", + "L = 22.614674, acc = 0.940000\n", + "L = 22.599070, acc = 0.940000\n", + "L = 22.583469, acc = 0.940000\n", + "L = 22.567870, acc = 0.940000\n", + "L = 22.552273, acc = 0.940000\n", + "L = 22.536678, acc = 0.940000\n", + "L = 22.521085, acc = 0.940000\n", + "L = 22.505494, acc = 0.940000\n", + "L = 22.489905, acc = 0.945000\n", + "L = 22.474319, acc = 0.945000\n", + "L = 22.458734, acc = 0.945000\n", + "L = 22.443151, acc = 0.945000\n", + "L = 22.427570, acc = 0.945000\n", + "L = 22.411992, acc = 0.945000\n", + "L = 22.396415, acc = 0.945000\n", + "L = 22.380840, acc = 0.945000\n", + "L = 22.365267, acc = 0.945000\n", + "L = 22.349696, acc = 0.945000\n", + "L = 22.334127, acc = 0.945000\n", + "L = 22.318560, acc = 0.945000\n", + "L = 22.302995, acc = 0.945000\n", + "L = 22.287431, acc = 0.945000\n", + "L = 22.271870, acc = 0.945000\n", + "L = 22.256310, acc = 0.945000\n", + "L = 22.240752, acc = 0.945000\n", + "L = 22.225196, acc = 0.945000\n", + "L = 22.209642, acc = 0.945000\n", + "L = 22.194090, acc = 0.945000\n", + "L = 22.178539, acc = 0.945000\n", + "L = 22.162991, acc = 0.945000\n", + "L = 22.147444, acc = 0.945000\n", + "L = 22.131899, acc = 0.945000\n", + "L = 22.116356, acc = 0.945000\n", + "L = 22.100815, acc = 0.945000\n", + "L = 22.085276, acc = 0.945000\n", + "L = 22.069738, acc = 0.945000\n", + "L = 22.054203, acc = 0.945000\n", + "L = 22.038669, acc = 0.945000\n", + "L = 22.023137, acc = 0.945000\n", + "L = 22.007607, acc = 0.945000\n", + "L = 21.992079, acc = 0.945000\n", + "L = 21.976553, acc = 0.945000\n", + "L = 21.961028, acc = 0.945000\n", + "L = 21.945506, acc = 0.945000\n", + "L = 21.929986, acc = 0.945000\n", + "L = 21.914467, acc = 0.945000\n", + "L = 21.898951, acc = 0.945000\n", + "L = 21.883436, acc = 0.945000\n", + "L = 21.867924, acc = 0.945000\n", + "L = 21.852413, acc = 0.945000\n", + "L = 21.836904, acc = 0.945000\n", + "L = 21.821398, acc = 0.945000\n", + "L = 21.805893, acc = 0.945000\n", + "L = 21.790391, acc = 0.945000\n", + "L = 21.774891, acc = 0.945000\n", + "L = 21.759393, acc = 0.945000\n", + "L = 21.743897, acc = 0.945000\n", + "L = 21.728403, acc = 0.945000\n", + "L = 21.712911, acc = 0.945000\n", + "L = 21.697422, acc = 0.945000\n", + "L = 21.681935, acc = 0.945000\n", + "L = 21.666450, acc = 0.945000\n", + "L = 21.650967, acc = 0.945000\n", + "L = 21.635487, acc = 0.945000\n", + "L = 21.620009, acc = 0.945000\n", + "L = 21.604534, acc = 0.945000\n", + "L = 21.589061, acc = 0.945000\n", + "L = 21.573590, acc = 0.945000\n", + "L = 21.558122, acc = 0.945000\n", + "L = 21.542657, acc = 0.945000\n", + "L = 21.527194, acc = 0.945000\n", + "L = 21.511733, acc = 0.945000\n", + "L = 21.496276, acc = 0.945000\n", + "L = 21.480821, acc = 0.945000\n", + "L = 21.465368, acc = 0.945000\n", + "L = 21.449919, acc = 0.945000\n", + "L = 21.434472, acc = 0.945000\n", + "L = 21.419028, acc = 0.945000\n", + "L = 21.403587, acc = 0.945000\n", + "L = 21.388149, acc = 0.945000\n", + "L = 21.372714, acc = 0.945000\n", + "L = 21.357282, acc = 0.945000\n", + "L = 21.341853, acc = 0.945000\n", + "L = 21.326427, acc = 0.945000\n", + "L = 21.311004, acc = 0.945000\n", + "L = 21.295585, acc = 0.945000\n", + "L = 21.280168, acc = 0.945000\n", + "L = 21.264755, acc = 0.945000\n", + "L = 21.249346, acc = 0.945000\n", + "L = 21.233940, acc = 0.945000\n", + "L = 21.218537, acc = 0.945000\n", + "L = 21.203138, acc = 0.945000\n", + "L = 21.187743, acc = 0.945000\n", + "L = 21.172351, acc = 0.945000\n", + "L = 21.156962, acc = 0.945000\n", + "L = 21.141578, acc = 0.945000\n", + "L = 21.126197, acc = 0.945000\n", + "L = 21.110821, acc = 0.945000\n", + "L = 21.095448, acc = 0.945000\n", + "L = 21.080079, acc = 0.945000\n", + "L = 21.064714, acc = 0.945000\n", + "L = 21.049354, acc = 0.945000\n", + "L = 21.033997, acc = 0.945000\n", + "L = 21.018645, acc = 0.945000\n", + "L = 21.003297, acc = 0.945000\n", + "L = 20.987954, acc = 0.945000\n", + "L = 20.972615, acc = 0.945000\n", + "L = 20.957280, acc = 0.945000\n", + "L = 20.941950, acc = 0.945000\n", + "L = 20.926625, acc = 0.945000\n", + "L = 20.911304, acc = 0.945000\n", + "L = 20.895988, acc = 0.945000\n", + "L = 20.880677, acc = 0.945000\n", + "L = 20.865371, acc = 0.945000\n", + "L = 20.850070, acc = 0.945000\n", + "L = 20.834774, acc = 0.945000\n", + "L = 20.819483, acc = 0.945000\n", + "L = 20.804198, acc = 0.945000\n", + "L = 20.788917, acc = 0.945000\n", + "L = 20.773642, acc = 0.945000\n", + "L = 20.758373, acc = 0.945000\n", + "L = 20.743109, acc = 0.945000\n", + "L = 20.727850, acc = 0.945000\n", + "L = 20.712598, acc = 0.945000\n", + "L = 20.697351, acc = 0.945000\n", + "L = 20.682109, acc = 0.945000\n", + "L = 20.666874, acc = 0.945000\n", + "L = 20.651645, acc = 0.945000\n", + "L = 20.636421, acc = 0.945000\n", + "L = 20.621204, acc = 0.945000\n", + "L = 20.605993, acc = 0.945000\n", + "L = 20.590789, acc = 0.945000\n", + "L = 20.575591, acc = 0.945000\n", + "L = 20.560399, acc = 0.945000\n", + "L = 20.545214, acc = 0.945000\n", + "L = 20.530035, acc = 0.945000\n", + "L = 20.514863, acc = 0.945000\n", + "L = 20.499698, acc = 0.945000\n", + "L = 20.484540, acc = 0.945000\n", + "L = 20.469389, acc = 0.945000\n", + "L = 20.454245, acc = 0.945000\n", + "L = 20.439107, acc = 0.945000\n", + "L = 20.423978, acc = 0.945000\n", + "L = 20.408855, acc = 0.945000\n", + "L = 20.393740, acc = 0.945000\n", + "L = 20.378632, acc = 0.945000\n", + "L = 20.363532, acc = 0.945000\n", + "L = 20.348440, acc = 0.945000\n", + "L = 20.333355, acc = 0.945000\n", + "L = 20.318278, acc = 0.945000\n", + "L = 20.303209, acc = 0.945000\n", + "L = 20.288148, acc = 0.945000\n", + "L = 20.273095, acc = 0.945000\n", + "L = 20.258051, acc = 0.945000\n", + "L = 20.243014, acc = 0.945000\n", + "L = 20.227986, acc = 0.945000\n", + "L = 20.212966, acc = 0.945000\n", + "L = 20.197955, acc = 0.945000\n", + "L = 20.182953, acc = 0.945000\n", + "L = 20.167959, acc = 0.945000\n", + "L = 20.152974, acc = 0.945000\n", + "L = 20.137998, acc = 0.945000\n", + "L = 20.123030, acc = 0.945000\n", + "L = 20.108072, acc = 0.945000\n", + "L = 20.093123, acc = 0.945000\n", + "L = 20.078184, acc = 0.945000\n", + "L = 20.063253, acc = 0.945000\n", + "L = 20.048332, acc = 0.945000\n", + "L = 20.033421, acc = 0.945000\n", + "L = 20.018519, acc = 0.945000\n", + "L = 20.003627, acc = 0.945000\n", + "L = 19.988745, acc = 0.945000\n", + "L = 19.973872, acc = 0.945000\n", + "L = 19.959009, acc = 0.945000\n", + "L = 19.944157, acc = 0.945000\n", + "L = 19.929315, acc = 0.945000\n", + "L = 19.914483, acc = 0.945000\n", + "L = 19.899661, acc = 0.945000\n", + "L = 19.884849, acc = 0.945000\n", + "L = 19.870048, acc = 0.945000\n", + "L = 19.855258, acc = 0.945000\n", + "L = 19.840478, acc = 0.945000\n", + "L = 19.825710, acc = 0.945000\n", + "L = 19.810951, acc = 0.945000\n", + "L = 19.796204, acc = 0.945000\n", + "L = 19.781468, acc = 0.945000\n", + "L = 19.766743, acc = 0.945000\n", + "L = 19.752030, acc = 0.945000\n", + "L = 19.737327, acc = 0.945000\n", + "L = 19.722636, acc = 0.945000\n", + "L = 19.707956, acc = 0.945000\n", + "L = 19.693288, acc = 0.945000\n", + "L = 19.678632, acc = 0.945000\n", + "L = 19.663987, acc = 0.945000\n", + "L = 19.649354, acc = 0.950000\n", + "L = 19.634733, acc = 0.950000\n", + "L = 19.620124, acc = 0.950000\n", + "L = 19.605528, acc = 0.950000\n", + "L = 19.590943, acc = 0.950000\n", + "L = 19.576370, acc = 0.950000\n", + "L = 19.561810, acc = 0.950000\n", + "L = 19.547262, acc = 0.950000\n", + "L = 19.532727, acc = 0.950000\n", + "L = 19.518204, acc = 0.950000\n", + "L = 19.503694, acc = 0.950000\n", + "L = 19.489197, acc = 0.950000\n", + "L = 19.474712, acc = 0.950000\n", + "L = 19.460241, acc = 0.950000\n", + "L = 19.445782, acc = 0.950000\n", + "L = 19.431337, acc = 0.950000\n", + "L = 19.416904, acc = 0.950000\n", + "L = 19.402485, acc = 0.950000\n", + "L = 19.388079, acc = 0.950000\n", + "L = 19.373687, acc = 0.950000\n", + "L = 19.359308, acc = 0.950000\n", + "L = 19.344942, acc = 0.950000\n", + "L = 19.330591, acc = 0.950000\n", + "L = 19.316252, acc = 0.950000\n", + "L = 19.301928, acc = 0.950000\n", + "L = 19.287618, acc = 0.950000\n", + "L = 19.273321, acc = 0.950000\n", + "L = 19.259039, acc = 0.950000\n", + "L = 19.244770, acc = 0.950000\n", + "L = 19.230516, acc = 0.950000\n", + "L = 19.216276, acc = 0.950000\n", + "L = 19.202050, acc = 0.950000\n", + "L = 19.187839, acc = 0.950000\n", + "L = 19.173642, acc = 0.950000\n", + "L = 19.159460, acc = 0.950000\n", + "L = 19.145292, acc = 0.950000\n", + "L = 19.131139, acc = 0.950000\n", + "L = 19.117001, acc = 0.950000\n", + "L = 19.102877, acc = 0.950000\n", + "L = 19.088769, acc = 0.950000\n", + "L = 19.074675, acc = 0.950000\n", + "L = 19.060596, acc = 0.950000\n", + "L = 19.046533, acc = 0.950000\n", + "L = 19.032484, acc = 0.950000\n", + "L = 19.018451, acc = 0.950000\n", + "L = 19.004433, acc = 0.950000\n", + "L = 18.990431, acc = 0.950000\n", + "L = 18.976444, acc = 0.950000\n", + "L = 18.962472, acc = 0.950000\n", + "L = 18.948516, acc = 0.950000\n", + "L = 18.934576, acc = 0.950000\n", + "L = 18.920651, acc = 0.950000\n", + "L = 18.906742, acc = 0.950000\n", + "L = 18.892849, acc = 0.950000\n", + "L = 18.878972, acc = 0.950000\n", + "L = 18.865111, acc = 0.950000\n", + "L = 18.851265, acc = 0.950000\n", + "L = 18.837436, acc = 0.950000\n", + "L = 18.823623, acc = 0.950000\n", + "L = 18.809826, acc = 0.950000\n", + "L = 18.796045, acc = 0.950000\n", + "L = 18.782280, acc = 0.950000\n", + "L = 18.768532, acc = 0.950000\n", + "L = 18.754800, acc = 0.950000\n", + "L = 18.741085, acc = 0.950000\n", + "L = 18.727386, acc = 0.950000\n", + "L = 18.713704, acc = 0.950000\n", + "L = 18.700038, acc = 0.950000\n", + "L = 18.686389, acc = 0.950000\n", + "L = 18.672757, acc = 0.950000\n", + "L = 18.659141, acc = 0.950000\n", + "L = 18.645542, acc = 0.950000\n", + "L = 18.631961, acc = 0.950000\n", + "L = 18.618396, acc = 0.950000\n", + "L = 18.604848, acc = 0.950000\n", + "L = 18.591317, acc = 0.950000\n", + "L = 18.577803, acc = 0.950000\n", + "L = 18.564306, acc = 0.950000\n", + "L = 18.550826, acc = 0.950000\n", + "L = 18.537364, acc = 0.950000\n", + "L = 18.523919, acc = 0.950000\n", + "L = 18.510491, acc = 0.950000\n", + "L = 18.497081, acc = 0.955000\n", + "L = 18.483687, acc = 0.955000\n", + "L = 18.470312, acc = 0.955000\n", + "L = 18.456953, acc = 0.955000\n", + "L = 18.443613, acc = 0.955000\n", + "L = 18.430290, acc = 0.955000\n", + "L = 18.416984, acc = 0.955000\n", + "L = 18.403696, acc = 0.955000\n", + "L = 18.390426, acc = 0.955000\n", + "L = 18.377173, acc = 0.955000\n", + "L = 18.363938, acc = 0.955000\n", + "L = 18.350721, acc = 0.955000\n", + "L = 18.337522, acc = 0.955000\n", + "L = 18.324341, acc = 0.955000\n", + "L = 18.311177, acc = 0.955000\n", + "L = 18.298032, acc = 0.955000\n", + "L = 18.284904, acc = 0.955000\n", + "L = 18.271794, acc = 0.955000\n", + "L = 18.258703, acc = 0.955000\n", + "L = 18.245629, acc = 0.955000\n", + "L = 18.232574, acc = 0.955000\n", + "L = 18.219537, acc = 0.955000\n", + "L = 18.206518, acc = 0.955000\n", + "L = 18.193517, acc = 0.955000\n", + "L = 18.180534, acc = 0.955000\n", + "L = 18.167570, acc = 0.955000\n", + "L = 18.154623, acc = 0.955000\n", + "L = 18.141695, acc = 0.955000\n", + "L = 18.128786, acc = 0.955000\n", + "L = 18.115895, acc = 0.955000\n", + "L = 18.103022, acc = 0.955000\n", + "L = 18.090167, acc = 0.955000\n", + "L = 18.077331, acc = 0.955000\n", + "L = 18.064514, acc = 0.955000\n", + "L = 18.051715, acc = 0.955000\n", + "L = 18.038934, acc = 0.955000\n", + "L = 18.026172, acc = 0.955000\n", + "L = 18.013429, acc = 0.955000\n", + "L = 18.000704, acc = 0.955000\n", + "L = 17.987997, acc = 0.955000\n", + "L = 17.975310, acc = 0.955000\n", + "L = 17.962641, acc = 0.955000\n", + "L = 17.949990, acc = 0.955000\n", + "L = 17.937358, acc = 0.955000\n", + "L = 17.924745, acc = 0.955000\n", + "L = 17.912151, acc = 0.955000\n", + "L = 17.899575, acc = 0.955000\n", + "L = 17.887018, acc = 0.955000\n", + "L = 17.874480, acc = 0.955000\n", + "L = 17.861961, acc = 0.955000\n", + "L = 17.849460, acc = 0.955000\n", + "L = 17.836978, acc = 0.955000\n", + "L = 17.824515, acc = 0.955000\n", + "L = 17.812071, acc = 0.955000\n", + "L = 17.799646, acc = 0.955000\n", + "L = 17.787240, acc = 0.955000\n", + "L = 17.774852, acc = 0.955000\n", + "L = 17.762483, acc = 0.955000\n", + "L = 17.750133, acc = 0.955000\n", + "L = 17.737802, acc = 0.955000\n", + "L = 17.725490, acc = 0.955000\n", + "L = 17.713197, acc = 0.955000\n", + "L = 17.700923, acc = 0.955000\n", + "L = 17.688668, acc = 0.955000\n", + "L = 17.676432, acc = 0.955000\n", + "L = 17.664214, acc = 0.955000\n", + "L = 17.652016, acc = 0.955000\n", + "L = 17.639836, acc = 0.955000\n", + "L = 17.627676, acc = 0.955000\n", + "L = 17.615534, acc = 0.955000\n", + "L = 17.603412, acc = 0.955000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "L = 17.591308, acc = 0.955000\n", + "L = 17.579224, acc = 0.955000\n", + "L = 17.567158, acc = 0.955000\n", + "L = 17.555112, acc = 0.955000\n", + "L = 17.543084, acc = 0.955000\n", + "L = 17.531076, acc = 0.955000\n", + "L = 17.519086, acc = 0.955000\n", + "L = 17.507116, acc = 0.955000\n", + "L = 17.495165, acc = 0.955000\n", + "L = 17.483232, acc = 0.955000\n", + "L = 17.471319, acc = 0.955000\n", + "L = 17.459424, acc = 0.955000\n", + "L = 17.447549, acc = 0.955000\n", + "L = 17.435692, acc = 0.955000\n", + "L = 17.423855, acc = 0.955000\n", + "L = 17.412037, acc = 0.955000\n", + "L = 17.400237, acc = 0.955000\n", + "L = 17.388457, acc = 0.955000\n", + "L = 17.376696, acc = 0.955000\n", + "L = 17.364953, acc = 0.955000\n", + "L = 17.353230, acc = 0.955000\n", + "L = 17.341526, acc = 0.955000\n", + "L = 17.329840, acc = 0.955000\n", + "L = 17.318174, acc = 0.955000\n", + "L = 17.306527, acc = 0.955000\n", + "L = 17.294898, acc = 0.955000\n", + "L = 17.283289, acc = 0.955000\n", + "L = 17.271698, acc = 0.955000\n", + "L = 17.260127, acc = 0.955000\n", + "L = 17.248574, acc = 0.955000\n", + "L = 17.237041, acc = 0.955000\n", + "L = 17.225526, acc = 0.955000\n", + "L = 17.214031, acc = 0.955000\n", + "L = 17.202554, acc = 0.955000\n", + "L = 17.191096, acc = 0.955000\n", + "L = 17.179657, acc = 0.955000\n", + "L = 17.168237, acc = 0.955000\n", + "L = 17.156836, acc = 0.955000\n", + "L = 17.145453, acc = 0.955000\n", + "L = 17.134090, acc = 0.955000\n", + "L = 17.122746, acc = 0.955000\n", + "L = 17.111420, acc = 0.955000\n", + "L = 17.100113, acc = 0.955000\n", + "L = 17.088825, acc = 0.955000\n", + "L = 17.077556, acc = 0.955000\n", + "L = 17.066305, acc = 0.955000\n", + "L = 17.055074, acc = 0.955000\n", + "L = 17.043861, acc = 0.955000\n", + "L = 17.032667, acc = 0.955000\n", + "L = 17.021492, acc = 0.955000\n", + "L = 17.010335, acc = 0.955000\n", + "L = 16.999197, acc = 0.955000\n", + "L = 16.988078, acc = 0.955000\n", + "L = 16.976978, acc = 0.955000\n", + "L = 16.965896, acc = 0.955000\n", + "L = 16.954833, acc = 0.955000\n", + "L = 16.943789, acc = 0.955000\n", + "L = 16.932763, acc = 0.955000\n", + "L = 16.921756, acc = 0.955000\n", + "L = 16.910768, acc = 0.955000\n", + "L = 16.899798, acc = 0.955000\n", + "L = 16.888846, acc = 0.955000\n", + "L = 16.877914, acc = 0.955000\n", + "L = 16.867000, acc = 0.955000\n", + "L = 16.856104, acc = 0.955000\n", + "L = 16.845227, acc = 0.955000\n", + "L = 16.834368, acc = 0.955000\n", + "L = 16.823528, acc = 0.955000\n", + "L = 16.812707, acc = 0.955000\n", + "L = 16.801904, acc = 0.955000\n", + "L = 16.791119, acc = 0.955000\n", + "L = 16.780352, acc = 0.955000\n", + "L = 16.769605, acc = 0.955000\n", + "L = 16.758875, acc = 0.955000\n", + "L = 16.748164, acc = 0.955000\n", + "L = 16.737471, acc = 0.955000\n", + "L = 16.726796, acc = 0.955000\n", + "L = 16.716140, acc = 0.955000\n", + "L = 16.705502, acc = 0.955000\n", + "L = 16.694883, acc = 0.955000\n", + "L = 16.684281, acc = 0.955000\n", + "L = 16.673698, acc = 0.955000\n", + "L = 16.663133, acc = 0.955000\n", + "L = 16.652586, acc = 0.955000\n", + "L = 16.642058, acc = 0.955000\n", + "L = 16.631547, acc = 0.955000\n", + "L = 16.621055, acc = 0.955000\n", + "L = 16.610580, acc = 0.955000\n", + "L = 16.600124, acc = 0.955000\n", + "L = 16.589686, acc = 0.955000\n", + "L = 16.579266, acc = 0.955000\n", + "L = 16.568864, acc = 0.955000\n", + "L = 16.558480, acc = 0.955000\n", + "L = 16.548114, acc = 0.955000\n", + "L = 16.537766, acc = 0.955000\n", + "L = 16.527435, acc = 0.955000\n", + "L = 16.517123, acc = 0.955000\n", + "L = 16.506829, acc = 0.955000\n", + "L = 16.496552, acc = 0.955000\n", + "L = 16.486293, acc = 0.955000\n", + "L = 16.476052, acc = 0.955000\n", + "L = 16.465829, acc = 0.955000\n", + "L = 16.455624, acc = 0.955000\n", + "L = 16.445436, acc = 0.955000\n", + "L = 16.435266, acc = 0.955000\n", + "L = 16.425114, acc = 0.955000\n", + "L = 16.414979, acc = 0.955000\n", + "L = 16.404862, acc = 0.955000\n", + "L = 16.394763, acc = 0.955000\n", + "L = 16.384681, acc = 0.955000\n", + "L = 16.374617, acc = 0.955000\n", + "L = 16.364571, acc = 0.955000\n", + "L = 16.354542, acc = 0.955000\n", + "L = 16.344530, acc = 0.955000\n", + "L = 16.334536, acc = 0.955000\n", + "L = 16.324560, acc = 0.960000\n", + "L = 16.314600, acc = 0.960000\n", + "L = 16.304659, acc = 0.960000\n", + "L = 16.294734, acc = 0.960000\n", + "L = 16.284827, acc = 0.960000\n", + "L = 16.274937, acc = 0.960000\n", + "L = 16.265065, acc = 0.960000\n", + "L = 16.255210, acc = 0.960000\n", + "L = 16.245372, acc = 0.960000\n", + "L = 16.235551, acc = 0.960000\n", + "L = 16.225748, acc = 0.960000\n", + "L = 16.215962, acc = 0.960000\n", + "L = 16.206192, acc = 0.960000\n", + "L = 16.196440, acc = 0.960000\n", + "L = 16.186705, acc = 0.960000\n", + "L = 16.176988, acc = 0.960000\n", + "L = 16.167287, acc = 0.960000\n", + "L = 16.157603, acc = 0.960000\n", + "L = 16.147936, acc = 0.960000\n", + "L = 16.138286, acc = 0.960000\n", + "L = 16.128653, acc = 0.960000\n", + "L = 16.119037, acc = 0.960000\n", + "L = 16.109438, acc = 0.960000\n", + "L = 16.099856, acc = 0.960000\n", + "L = 16.090290, acc = 0.960000\n", + "L = 16.080742, acc = 0.960000\n", + "L = 16.071210, acc = 0.960000\n", + "L = 16.061695, acc = 0.960000\n", + "L = 16.052196, acc = 0.960000\n", + "L = 16.042715, acc = 0.960000\n", + "L = 16.033250, acc = 0.960000\n", + "L = 16.023801, acc = 0.960000\n", + "L = 16.014369, acc = 0.960000\n", + "L = 16.004954, acc = 0.960000\n", + "L = 15.995555, acc = 0.960000\n", + "L = 15.986173, acc = 0.960000\n", + "L = 15.976808, acc = 0.960000\n", + "L = 15.967458, acc = 0.960000\n", + "L = 15.958126, acc = 0.960000\n", + "L = 15.948809, acc = 0.960000\n", + "L = 15.939510, acc = 0.960000\n", + "L = 15.930226, acc = 0.960000\n", + "L = 15.920959, acc = 0.960000\n", + "L = 15.911708, acc = 0.960000\n", + "L = 15.902473, acc = 0.960000\n", + "L = 15.893255, acc = 0.960000\n", + "L = 15.884053, acc = 0.960000\n", + "L = 15.874867, acc = 0.960000\n", + "L = 15.865697, acc = 0.960000\n", + "L = 15.856543, acc = 0.960000\n", + "L = 15.847406, acc = 0.960000\n", + "L = 15.838284, acc = 0.960000\n", + "L = 15.829179, acc = 0.960000\n", + "L = 15.820089, acc = 0.960000\n", + "L = 15.811016, acc = 0.960000\n", + "L = 15.801959, acc = 0.960000\n", + "L = 15.792917, acc = 0.960000\n", + "L = 15.783891, acc = 0.960000\n", + "L = 15.774882, acc = 0.960000\n", + "L = 15.765888, acc = 0.960000\n", + "L = 15.756910, acc = 0.960000\n", + "L = 15.747948, acc = 0.960000\n", + "L = 15.739001, acc = 0.960000\n", + "L = 15.730071, acc = 0.960000\n", + "L = 15.721156, acc = 0.960000\n" ] } ], @@ -4683,12 +4706,12 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -4700,7 +4723,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -4735,22 +4758,22 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[[0.02361974 0.97508818]\n", - " [0.27772832 0.72007122]\n", - " [0.83062658 0.17256861]\n", - " [0.03436929 0.96345229]\n", - " [0.02995351 0.96781939]\n", - " [0.85808896 0.14486074]\n", - " [0.05079962 0.94997004]\n", - " [0.87805685 0.12525219]\n", - " [0.03874122 0.96039457]]\n" + "[[0.03154963 0.97354996]\n", + " [0.30242346 0.68475421]\n", + " [0.84429554 0.17625119]\n", + " [0.04812804 0.95826417]\n", + " [0.04183504 0.96405488]\n", + " [0.80767817 0.17874873]\n", + " [0.05463129 0.94906635]\n", + " [0.83768873 0.14807047]\n", + " [0.05043638 0.95552076]]\n" ] } ], diff --git a/6_pytorch/2_CNN/CNN_Introduction.pptx b/6_pytorch/2_CNN/CNN_Introduction.pptx new file mode 100644 index 0000000..1304b1a Binary files /dev/null and b/6_pytorch/2_CNN/CNN_Introduction.pptx differ diff --git a/CourseIntroduction.pdf b/CourseIntroduction.pdf new file mode 100644 index 0000000..273f1c7 Binary files /dev/null and b/CourseIntroduction.pdf differ diff --git a/README.md b/README.md index 3a8cd46..2f554f4 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,14 @@ # 机器学习 -本教程主要讲解机器学习的基本原理与实现，通过本教程的引导来快速学习Python、Python的常用库、机器学习的理论知识与实际编程，并学习如何解决实际问题。 +本教程主要讲解机器学习的基本原理与实现，通过本教程的引导来快速学习Python、Python常用库、机器学习的理论知识与实际编程，并学习如何解决实际问题。 -由于**本课程需要大量的编程练习才能取得比较好的学习效果**，因此需要认真去做[作业和报告](https://gitee.com/pi-lab/machinelearning_homework)，写作业的过程可以查阅网上的资料，但是不能直接照抄，需要自己独立思考并独立写出代码。 +由于**本课程需要大量的编程练习才能取得比较好的学习效果**，因此需要认真去完成[作业和报告](https://gitee.com/pi-lab/machinelearning_homework)，写作业的过程可以查阅网上的资料，但是不能直接照抄，需要自己独立思考并独立写出代码。 ## 1. 内容 -1. [Python](0_python/) +1. [课程简介](CourseIntroduction.pdf) +2. [Python](0_python/) - [Install Python](tips/InstallPython.md) - [Introduction](0_python/0_Introduction.ipynb) - [Python Basics](0_python/1_Basics.ipynb) @@ -17,20 +18,20 @@ - [Control Flow](0_python/5_Control_Flow.ipynb) - [Function](0_python/6_Function.ipynb) - [Class](0_python/7_Class.ipynb) -2. [numpy & matplotlib](1_numpy_matplotlib_scipy_sympy/) +3. [numpy & matplotlib](1_numpy_matplotlib_scipy_sympy/) - [numpy](1_numpy_matplotlib_scipy_sympy/numpy_tutorial.ipynb) - [matplotlib](1_numpy_matplotlib_scipy_sympy/matplotlib_simple_tutorial.ipynb) - [ipython & notebook](1_numpy_matplotlib_scipy_sympy/ipython_notebook.ipynb) -3. [knn](2_knn/knn_classification.ipynb) -4. [kMenas](3_kmeans/k-means.ipynb) -5. [Logistic Regression](4_logistic_regression/) +4. [knn](2_knn/knn_classification.ipynb) +5. [kMenas](3_kmeans/k-means.ipynb) +6. [Logistic Regression](4_logistic_regression/) - [Least squares](4_logistic_regression/Least_squares.ipynb) - [Logistic regression](4_logistic_regression/Logistic_regression.ipynb) -6. [Neural Network](5_nn/) +7. [Neural Network](5_nn/) - [Perceptron](5_nn/Perceptron.ipynb) - [Multi-layer Perceptron & BP](5_nn/mlp_bp.ipynb) - [Softmax & cross-entroy](5_nn/softmax_ce.ipynb) -7. [PyTorch](6_pytorch/) +8. [PyTorch](6_pytorch/) - Basic - [short tutorial](6_pytorch/PyTorch_quick_intro.ipynb) - [basic/Tensor-and-Variable](6_pytorch/0_basic/Tensor-and-Variable.ipynb) @@ -67,18 +68,18 @@ -## 2. 其他参考 +## 2. 其他参考资料 * 资料速查 - * [相关学习参考资料等](References.md) + * [相关学习参考资料汇总](References.md) * [一些速查手册](tips/cheatsheet) -* 机器学习方面 +* 机器学习方面技巧等 * [Confusion Matrix](tips/confusion_matrix.ipynb) * [Datasets](tips/datasets.ipynb) * [构建深度神经网络的一些实战建议](tips/构建深度神经网络的一些实战建议.md) * [Intro to Deep Learning](tips/Intro_to_Deep_Learning.pdf) -* Python +* Python技巧等 * [安装Python环境](tips/InstallPython.md) * [Python tips](tips/python) @@ -90,4 +91,3 @@ * Markdown * [Markdown——入门指南](https://www.jianshu.com/p/1e402922ee32) - diff --git a/References.md b/References.md index e193d91..ae2551d 100644 --- a/References.md +++ b/References.md @@ -5,6 +5,7 @@ ## Python & IPython +* [Python Numpy Tutorial - 简明Python, Numpy, Matplotlib教程](http://cs231n.github.io/python-numpy-tutorial/) * [Python教程](https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000) * [Python-Lectures](https://github.com/rajathkmp/Python-Lectures) * [A gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks) @@ -28,8 +29,9 @@ -## Machine learning +## Notebook, Book, Tutorial +* [Machine Learning Yearning 中文版 - 《机器学习训练秘籍》](https://github.com/deeplearning-ai/machine-learning-yearning-cn) ([在线阅读](https://deeplearning-ai.github.io/machine-learning-yearning-cn/)) * [ipython-notebooks: A collection of IPython notebooks covering various topics](https://github.com/jdwittenauer/ipython-notebooks) * [Learn Data Science](http://learnds.com/) * [AM207 2016](https://github.com/AM207/2016/tree/master) diff --git a/tips/InstallPython.md b/tips/InstallPython.md index 639b985..af7f7a6 100644 --- a/tips/InstallPython.md +++ b/tips/InstallPython.md @@ -1,4 +1,4 @@ -# Installing Python environments +# Installing Python Environments 由于Python的库比较多，并且依赖关系比较复杂，所以请仔细阅读下面的说明，使用下面的说明来安装能够减少问题的可能。*不过所列的安装方法，里面存在较多的细节，也许和你的系统并不适配，所以会遇到问题。如果遇到问题请通过搜索引擎去查找解决的办法*，通过这个方式锻炼自己解决问题的能力。 diff --git a/tips/dataset_circles.csv b/tips/dataset_circles.csv index c0a2404..8304452 100644 --- a/tips/dataset_circles.csv +++ b/tips/dataset_circles.csv @@ -1,400 +1,400 @@ -9.862597006109558251e+00,4.388945920860357397e+00,0.000000000000000000e+00 -2.877170945049199346e+00,1.202827750793628248e+01,0.000000000000000000e+00 -3.337256239136289437e+00,-5.220370923066885105e+00,0.000000000000000000e+00 -6.493095562032711321e+00,-1.113144595320488328e+01,0.000000000000000000e+00 -9.160816030038004598e+00,-1.009779300537452151e+01,0.000000000000000000e+00 -1.041802753742201126e+01,1.894574992636611332e+00,0.000000000000000000e+00 --9.011386818141570387e+00,7.113786261861553051e+00,0.000000000000000000e+00 -8.634194767050646035e+00,6.044937306977867797e-01,0.000000000000000000e+00 --8.310295927199726762e+00,-1.184857079692059001e+00,0.000000000000000000e+00 -1.317546095251883154e+00,-1.129096844315353998e+01,0.000000000000000000e+00 -9.529257864350787699e+00,1.736339478767750633e+00,0.000000000000000000e+00 --9.437763538148617570e+00,-2.872208646559228029e+00,0.000000000000000000e+00 -5.815080874493489205e+00,-8.314022581206840457e+00,0.000000000000000000e+00 --1.288892096908664797e+01,-1.122402541491438477e+00,0.000000000000000000e+00 --7.491945439414098296e+00,-1.046310837836343666e+01,0.000000000000000000e+00 -6.971623436910721061e+00,-3.713812314908092826e+00,0.000000000000000000e+00 --3.647715279401396060e+00,-8.566426635858620742e+00,0.000000000000000000e+00 --5.963933774842476332e+00,-5.215555684133276415e+00,0.000000000000000000e+00 -5.649964657621771913e+00,-5.369954314422594521e+00,0.000000000000000000e+00 -1.172710561955023145e+01,-2.754936843545676695e+00,0.000000000000000000e+00 -1.672264154472602238e+00,-1.071807032527019565e+01,0.000000000000000000e+00 --3.443717408141795389e+00,1.250380032886874737e+01,0.000000000000000000e+00 -5.863452362896988568e+00,-8.186611721106453743e+00,0.000000000000000000e+00 -4.991164283632463672e+00,1.139369901458018042e+01,0.000000000000000000e+00 -8.838997710199558711e+00,6.044714573548058967e-01,0.000000000000000000e+00 -1.639030475559324795e+00,7.915238715166661443e+00,0.000000000000000000e+00 -3.758705824661268569e+00,-8.090773260493815400e+00,0.000000000000000000e+00 --9.394967210155567017e+00,-5.137130325801137154e+00,0.000000000000000000e+00 --6.288288633339392142e+00,1.433786837462863506e+00,0.000000000000000000e+00 --9.604286351326987159e+00,-8.457016591349884038e+00,0.000000000000000000e+00 -4.404554230019639860e+00,7.498658012125457795e+00,0.000000000000000000e+00 -1.251066075969001723e+01,2.403854004526353894e+00,0.000000000000000000e+00 --6.625366638525115981e+00,-4.034266053666308416e+00,0.000000000000000000e+00 -5.745785337741070364e+00,-4.064766044917044852e+00,0.000000000000000000e+00 --7.111819117251069855e+00,2.937469414945817370e+00,0.000000000000000000e+00 -1.188200659083437927e+01,-3.459560370844172006e+00,0.000000000000000000e+00 -3.763980582232898886e+00,6.079997397875869680e+00,0.000000000000000000e+00 --2.444132686299686608e+00,8.655025186859889530e+00,0.000000000000000000e+00 -3.827248176924319178e+00,7.780625034062842005e+00,0.000000000000000000e+00 --2.518060036469188523e-01,1.345001652707794726e+01,0.000000000000000000e+00 --1.062124752956786367e+01,3.788639253029340459e+00,0.000000000000000000e+00 -6.914686308755981337e+00,2.517928331085216964e+00,0.000000000000000000e+00 -4.819454929706679991e+00,4.305957988922500590e+00,0.000000000000000000e+00 -9.308607156157549412e+00,1.018017507427041402e+01,0.000000000000000000e+00 --2.644229094526551638e+00,1.308185169274385018e+01,0.000000000000000000e+00 --8.110820419917877944e-01,1.373132883726502484e+01,0.000000000000000000e+00 --7.336981746187526632e+00,2.633628829714826036e+00,0.000000000000000000e+00 --7.304144561890504761e+00,-4.985228209873077354e+00,0.000000000000000000e+00 --3.942089524730379768e+00,7.429147677138015382e+00,0.000000000000000000e+00 --1.563940960823078541e+00,-1.226771652324130102e+01,0.000000000000000000e+00 -7.752633583239491699e+00,1.606933591460645960e+00,0.000000000000000000e+00 --4.644020567309505410e+00,-1.260416337454934776e+01,0.000000000000000000e+00 -9.559905872637479263e+00,-2.069167693554651688e+00,0.000000000000000000e+00 -6.510524870183760804e+00,1.055846542430648682e+01,0.000000000000000000e+00 -7.709822285798955122e+00,2.414004778121223715e+00,0.000000000000000000e+00 --7.112111243945566486e+00,-9.955758248422416301e+00,0.000000000000000000e+00 -2.826837256620440275e-01,9.890510484957566462e+00,0.000000000000000000e+00 -3.043287967173990527e+00,-8.571990423685743821e+00,0.000000000000000000e+00 -9.569832822923251214e+00,-3.349889908766237046e+00,0.000000000000000000e+00 -2.825239466651834896e-01,8.493236936762546208e+00,0.000000000000000000e+00 --3.456625845444592837e+00,-1.112489309506036506e+01,0.000000000000000000e+00 -4.009169731782363577e+00,1.000783306149301488e+01,0.000000000000000000e+00 -4.688796243646584649e+00,1.281843321647803968e+01,0.000000000000000000e+00 --1.998966439837163600e+00,1.351012796539344230e+01,0.000000000000000000e+00 --5.633144883347592113e+00,-2.976004791943957617e+00,0.000000000000000000e+00 --1.071777719431886666e+01,8.746724717809167160e+00,0.000000000000000000e+00 -6.933072615037868758e+00,-2.014502580037639490e+00,0.000000000000000000e+00 --3.996300934160016194e+00,-7.669085547264026914e+00,0.000000000000000000e+00 -6.057410272621098102e+00,-2.652565982981485160e-01,0.000000000000000000e+00 --1.211110506752794613e+01,3.213092951287801480e+00,0.000000000000000000e+00 --2.660457520427601530e+00,9.541749783643794558e+00,0.000000000000000000e+00 -5.677396269346377089e+00,-8.181021821215502143e+00,0.000000000000000000e+00 -8.025138318366114021e+00,-1.384302439837393317e+00,0.000000000000000000e+00 -7.007870666149849104e-01,-8.332889101745662330e+00,0.000000000000000000e+00 --2.561600053427863344e+00,-9.743204526040658564e+00,0.000000000000000000e+00 --7.680125944110861802e+00,7.501834896431613053e+00,0.000000000000000000e+00 --5.990419838503080463e+00,-1.634517124985244374e+00,0.000000000000000000e+00 --3.408750904602412479e+00,-1.011555207509729293e+01,0.000000000000000000e+00 --7.466990342399484781e+00,4.972154832211821862e+00,0.000000000000000000e+00 --1.385863376104194344e+01,-1.569697443999104047e+00,0.000000000000000000e+00 -1.016630480502666245e+01,-5.786895095791383170e+00,0.000000000000000000e+00 -2.138339060813499781e+00,9.235897157296232507e+00,0.000000000000000000e+00 -9.784654375427050965e+00,3.223452669892223899e+00,0.000000000000000000e+00 --7.160947322329206166e+00,4.315264819978651897e-03,0.000000000000000000e+00 -1.069526264501631019e+01,2.146676049265247688e+00,0.000000000000000000e+00 -1.352531737671455403e+01,5.341317125800683074e-01,0.000000000000000000e+00 --8.204380562754867157e+00,2.958040506654077695e-01,0.000000000000000000e+00 --7.700927136434255083e+00,3.450173937237375643e+00,0.000000000000000000e+00 --6.162063854688403453e+00,-1.039351804719752614e+01,0.000000000000000000e+00 --7.622924349294661006e+00,-8.395757258940216516e+00,0.000000000000000000e+00 --4.781299924855306749e+00,-4.300113418931317710e+00,0.000000000000000000e+00 -1.273936254270339319e+01,4.444056568979243949e+00,0.000000000000000000e+00 --6.212029468907783070e+00,6.412488301479442043e-01,0.000000000000000000e+00 --8.598454550560376219e+00,-9.505732040174901698e+00,0.000000000000000000e+00 --6.551844072080291070e+00,-2.597153824509962572e+00,0.000000000000000000e+00 -5.406244662529976486e-01,-1.180744558537000977e+01,0.000000000000000000e+00 --1.223328107698617728e+01,2.534270081704574018e+00,0.000000000000000000e+00 --1.234205194892152413e+01,1.643521855276022237e+00,0.000000000000000000e+00 --9.493836137915996787e+00,9.746672478642727455e+00,0.000000000000000000e+00 --8.420488306810536727e+00,9.741715891244462355e+00,0.000000000000000000e+00 -3.814812252424179650e+00,-1.095530939520013547e+01,0.000000000000000000e+00 -7.408768607650642934e+00,-1.598252129266272581e+00,0.000000000000000000e+00 --8.954549145432116219e+00,-8.716215395331682103e+00,0.000000000000000000e+00 -6.750393096483064959e+00,-8.732504927011085272e+00,0.000000000000000000e+00 --4.786803561513118588e+00,-8.222241820233284315e+00,0.000000000000000000e+00 --7.346628433171869865e+00,-5.200293638609803537e+00,0.000000000000000000e+00 -1.416856726047263759e+00,1.122018551024202893e+01,0.000000000000000000e+00 -7.209540291555192049e+00,3.896096344772451925e+00,0.000000000000000000e+00 --4.818795573205335359e+00,1.275527076454161524e+01,0.000000000000000000e+00 --3.600791011231857741e+00,-5.685619246095143353e+00,0.000000000000000000e+00 --1.303337576890614358e+01,1.454981134345443294e-01,0.000000000000000000e+00 --5.668879881725418457e+00,4.265559882994224949e+00,0.000000000000000000e+00 --1.336677225502713995e+01,-3.333565427677156023e+00,0.000000000000000000e+00 -6.380063124213702253e+00,-8.694515196234624099e+00,0.000000000000000000e+00 -7.958495857862243561e+00,5.662910911325223395e+00,0.000000000000000000e+00 -4.971861734308737013e+00,-7.650823140952451418e+00,0.000000000000000000e+00 -7.413214733587544458e+00,3.314437518815265271e+00,0.000000000000000000e+00 --8.665573289299810966e+00,2.579632707896181820e+00,0.000000000000000000e+00 -9.929397321851664016e-01,1.355034933325041813e+01,0.000000000000000000e+00 -5.360547077905177815e+00,-6.588248171721820867e+00,0.000000000000000000e+00 -5.084186669565729844e+00,3.833783430598022512e+00,0.000000000000000000e+00 -1.002670917279956520e+01,7.517106438066921470e+00,0.000000000000000000e+00 --4.992627975094395154e+00,-4.021636687013394607e+00,0.000000000000000000e+00 --1.072877553404850737e+01,3.393035849131368575e+00,0.000000000000000000e+00 --3.801811713125446524e+00,6.401279054144701774e+00,0.000000000000000000e+00 -1.050052476588508199e+01,-2.890999409234909390e+00,0.000000000000000000e+00 -1.004219115274414342e+01,-4.302461600016681542e-01,0.000000000000000000e+00 -8.126291864264146625e+00,-2.062137138477090570e+00,0.000000000000000000e+00 -8.532036146140371535e-01,-1.077703138089397683e+01,0.000000000000000000e+00 --7.709349249077324551e+00,-8.402083930252045363e+00,0.000000000000000000e+00 --3.158019423283696003e+00,-8.622525955647978080e+00,0.000000000000000000e+00 -4.368821578430113206e+00,-9.280167433647054764e+00,0.000000000000000000e+00 --4.339665761257628596e+00,-9.873795252064214267e+00,0.000000000000000000e+00 --3.975662970089751114e-01,8.778761114131237164e+00,0.000000000000000000e+00 --1.005816644696833784e+01,2.676157423149173376e+00,0.000000000000000000e+00 -7.976759622447467279e+00,1.488112982960128061e+00,0.000000000000000000e+00 --1.115846173131786756e+01,2.347405448698627328e+00,0.000000000000000000e+00 -1.828795701256797024e+00,7.084758587571729826e+00,0.000000000000000000e+00 --8.182845482922107561e-01,-8.837635696617843095e+00,0.000000000000000000e+00 --1.216592766927463565e+01,4.182020621616657330e+00,0.000000000000000000e+00 -7.545136762876549774e+00,9.945150848296330892e+00,0.000000000000000000e+00 -1.296725766555409187e+01,2.779679035545373100e+00,0.000000000000000000e+00 --7.649802069554393569e+00,-7.912731844844135054e+00,0.000000000000000000e+00 -1.450029305422914083e+00,6.154506368128457972e+00,0.000000000000000000e+00 -1.126182752393684439e+01,3.820055905771543081e+00,0.000000000000000000e+00 -4.114692346497415443e+00,-1.153298607052224334e+01,0.000000000000000000e+00 --2.985702422723075955e+00,-1.147272148740606212e+01,0.000000000000000000e+00 --8.817811375181157985e+00,-3.921949061901613298e+00,0.000000000000000000e+00 --6.137022608944259439e+00,-3.670673919963554521e+00,0.000000000000000000e+00 -4.848399268197606027e+00,-8.253359306310066756e+00,0.000000000000000000e+00 -3.710181045897119834e+00,-5.714956939008809300e+00,0.000000000000000000e+00 -4.404261556429599267e+00,-5.179156225369094813e+00,0.000000000000000000e+00 -8.480423471650485823e+00,5.505935081293400479e+00,0.000000000000000000e+00 -2.676682092765721332e+00,6.755568695663916934e+00,0.000000000000000000e+00 -1.349602128878756702e+01,-2.760280205910110141e+00,0.000000000000000000e+00 --6.354333628858702454e+00,1.566935815149126388e+00,0.000000000000000000e+00 -9.652499414980560744e+00,-6.998124216434617573e+00,0.000000000000000000e+00 -9.109090814919925450e+00,-2.885739466264036324e+00,0.000000000000000000e+00 -9.424729913805274251e+00,-7.615755732057966298e+00,0.000000000000000000e+00 --2.298718457690322570e+00,-9.940854626658103044e+00,0.000000000000000000e+00 -6.943235844908800303e+00,6.566408021322475363e+00,0.000000000000000000e+00 --1.179297227185062624e+01,3.148610988692310375e+00,0.000000000000000000e+00 -5.675240778019130516e+00,-1.061068463254039251e+01,0.000000000000000000e+00 --9.296491368779978615e+00,-6.171290820394590426e+00,0.000000000000000000e+00 -3.039700743392670379e+00,8.477483981078608011e+00,0.000000000000000000e+00 --8.279794421336692523e+00,-2.803017026074221985e+00,0.000000000000000000e+00 -3.278886571257194849e+00,5.347735189350168561e+00,0.000000000000000000e+00 -1.863827422845622195e+00,-1.290070719733525451e+01,0.000000000000000000e+00 --1.072330165521738898e+01,-3.802489649366284086e-01,0.000000000000000000e+00 --1.073258780920207656e+00,-6.213274218993801057e+00,0.000000000000000000e+00 --3.426478986566940055e+00,9.716814665952153263e+00,0.000000000000000000e+00 -7.202327952088109164e+00,5.121600172933984396e+00,0.000000000000000000e+00 -1.047836588896138110e+01,-6.382333863074792113e+00,0.000000000000000000e+00 -5.811234604184800645e+00,-8.319298986500051285e+00,0.000000000000000000e+00 -6.397475790321884404e+00,9.488321600312806581e+00,0.000000000000000000e+00 -1.195201120691531926e+01,-5.297988414364907861e+00,0.000000000000000000e+00 -7.727243630985335621e+00,7.010923292377260196e+00,0.000000000000000000e+00 -5.752351514067115090e+00,6.369432858600823977e+00,0.000000000000000000e+00 -1.044615088095522815e+01,6.462810993168848661e+00,0.000000000000000000e+00 --1.303394241626110395e+00,1.196422018477452553e+01,0.000000000000000000e+00 --8.135030836916312680e+00,1.024645229885290831e+00,0.000000000000000000e+00 -1.839659788413228469e-01,-8.364308881586348221e+00,0.000000000000000000e+00 --5.300267485194837924e+00,1.161095589778359027e+01,0.000000000000000000e+00 --7.885508602691148283e+00,7.688147706153779737e+00,0.000000000000000000e+00 -9.408419234037580736e+00,1.319904500240061340e+00,0.000000000000000000e+00 --8.887580366717934055e+00,6.848370446358720720e+00,0.000000000000000000e+00 -1.484191788366077569e+00,-6.441161925269415001e+00,0.000000000000000000e+00 --1.230709578968634865e+01,-2.439418675346519461e+00,0.000000000000000000e+00 --4.264629326115078278e+00,9.834984899885139242e+00,0.000000000000000000e+00 -1.346987501589731018e+01,-2.903988687159458237e+00,0.000000000000000000e+00 -3.227677578327154517e+00,-9.940449883403619680e+00,0.000000000000000000e+00 -6.497666163166413433e+00,1.081058228256788922e+01,0.000000000000000000e+00 --9.859128189279788401e+00,9.895946349967440270e+00,0.000000000000000000e+00 -7.301566174542353238e+00,-8.244922402723963373e+00,0.000000000000000000e+00 --7.580699915211076778e+00,-1.591836124550713549e+00,0.000000000000000000e+00 --9.505532154825969471e+00,-7.032476220821989088e+00,0.000000000000000000e+00 -1.340531295051455984e+01,-1.594081706516784713e+00,0.000000000000000000e+00 -1.179244973371897842e+01,5.709177596323251613e+00,0.000000000000000000e+00 --6.487131766302675295e+00,2.093036300507789688e-02,0.000000000000000000e+00 -3.427985069410309116e+00,-1.187787974618283648e+01,0.000000000000000000e+00 --1.408581976741892205e+01,1.625550970238727899e+01,1.000000000000000000e+00 --1.881043151933305424e+01,-2.621960441323269109e+00,1.000000000000000000e+00 --2.322581527025400305e+01,-2.667811322111456995e+00,1.000000000000000000e+00 --1.773818831811092167e+01,1.385242284258890422e+01,1.000000000000000000e+00 -1.387531676297662742e+01,-1.674031384786129451e+01,1.000000000000000000e+00 -1.524986377891802292e+01,-1.478608052582741550e+01,1.000000000000000000e+00 -2.084600916661210945e+01,-7.837637204688920889e+00,1.000000000000000000e+00 --3.335846368905910797e+00,-1.661355464770509371e+01,1.000000000000000000e+00 --1.531546407337876659e+01,1.389103285498575069e+01,1.000000000000000000e+00 --5.862798124093491658e+00,-1.895705090151678007e+01,1.000000000000000000e+00 -1.830567439264983065e+01,1.515095846689039405e+01,1.000000000000000000e+00 --7.641068875385179204e+00,1.491360609394572379e+01,1.000000000000000000e+00 --1.906664659447316978e+01,1.428824374903993499e+00,1.000000000000000000e+00 --7.634730107177073677e+00,2.021852265839935114e+01,1.000000000000000000e+00 --8.946142480307802458e+00,1.834914057483182859e+01,1.000000000000000000e+00 --1.841892096560701120e+01,3.968763401385180689e+00,1.000000000000000000e+00 --1.190606992324205393e+01,-1.480237550559005122e+01,1.000000000000000000e+00 --1.768958485332136732e+01,1.038413696695125665e+01,1.000000000000000000e+00 --8.501571361773706315e+00,-1.717272805437283267e+01,1.000000000000000000e+00 --5.775465720724419327e+00,2.002395286480275516e+01,1.000000000000000000e+00 -2.134699125170529044e+01,-7.251398575296883031e+00,1.000000000000000000e+00 -1.781413832072523107e+01,7.056121174639669036e+00,1.000000000000000000e+00 --1.649961768692056197e+01,-1.152300038742184007e+01,1.000000000000000000e+00 --2.199533523781454036e+01,-5.240369637901090449e+00,1.000000000000000000e+00 --2.022220219640516348e+01,5.295586840647683147e+00,1.000000000000000000e+00 -7.274107302903876082e-01,2.027846444687708782e+01,1.000000000000000000e+00 --1.819994910579366376e+01,-1.401824275971767175e+00,1.000000000000000000e+00 --1.485594191132518915e+01,6.027297875184268960e+00,1.000000000000000000e+00 -6.578620336695827575e+00,1.883714939585484771e+01,1.000000000000000000e+00 --1.627021459970769612e+01,-4.918490433325404254e+00,1.000000000000000000e+00 -6.466932279519650884e+00,2.083347368624722407e+01,1.000000000000000000e+00 -2.114204413327044207e+01,6.294073669553609918e+00,1.000000000000000000e+00 --1.524418191809297873e+01,-1.508795587492252821e+01,1.000000000000000000e+00 -2.187864861441643072e+01,-7.572218157049059428e+00,1.000000000000000000e+00 --7.366372618457587285e-01,1.632196831778809454e+01,1.000000000000000000e+00 -1.891861621373580959e+01,-9.648249362280228780e+00,1.000000000000000000e+00 --1.313160444416345385e+01,1.632701131849736598e+01,1.000000000000000000e+00 --1.934693546659212160e+01,-1.326870036449994394e+01,1.000000000000000000e+00 -2.147968744797048402e+01,6.687445991361102848e+00,1.000000000000000000e+00 -1.575066236102569661e+01,9.629654206912119818e+00,1.000000000000000000e+00 -6.786805557994117777e+00,1.506120831288941808e+01,1.000000000000000000e+00 -1.330151895443178311e+01,1.137041975833180629e+01,1.000000000000000000e+00 -2.195150842243708489e+00,-1.760728806651117750e+01,1.000000000000000000e+00 -2.200035505632448007e+01,-7.998043075783540345e+00,1.000000000000000000e+00 --1.082657318041693628e+00,2.030545540994938847e+01,1.000000000000000000e+00 --1.775421853022066188e+01,-8.550442106904826645e+00,1.000000000000000000e+00 -1.659819141816188548e+01,-1.298883742117128470e+01,1.000000000000000000e+00 --1.855075329425867636e+01,-8.270103260125782896e+00,1.000000000000000000e+00 -1.476912249740130001e+01,-1.043225192715721761e+01,1.000000000000000000e+00 -2.164518554409495721e+01,3.836524661536647063e+00,1.000000000000000000e+00 --8.078122985740316508e+00,-1.381988479693678151e+01,1.000000000000000000e+00 -1.783941024006371734e+01,-1.387961998757027970e+01,1.000000000000000000e+00 -2.005823843660326133e+01,-7.994747011677134640e-01,1.000000000000000000e+00 -9.751475655640280404e-01,-1.681306880565960427e+01,1.000000000000000000e+00 -1.482893081542048463e+01,6.627858565599247243e+00,1.000000000000000000e+00 --1.488228819116111268e+01,-9.884994691517903220e+00,1.000000000000000000e+00 -1.858342179644801462e+01,-1.320545419153004296e+01,1.000000000000000000e+00 -4.031313603555224390e+00,2.069737823722174141e+01,1.000000000000000000e+00 --1.871196510041764682e+01,6.679055498330213059e-01,1.000000000000000000e+00 --8.187043865690890598e+00,-1.692392184362027052e+01,1.000000000000000000e+00 -1.847298008645853074e+01,-1.092935052323345646e+00,1.000000000000000000e+00 --1.217784293794317962e+00,-1.958808310337123615e+01,1.000000000000000000e+00 -1.177626505768050968e+01,-1.879290668870535796e+01,1.000000000000000000e+00 -7.707126339575352425e+00,-1.829951136840453429e+01,1.000000000000000000e+00 -1.505558382543773455e+01,8.480463032162875336e+00,1.000000000000000000e+00 --2.119393794989089130e+01,-9.816193422288213455e+00,1.000000000000000000e+00 -4.384412174196432588e+00,-1.705187614748492564e+01,1.000000000000000000e+00 -1.904163303190937739e+01,1.025881051909351527e+00,1.000000000000000000e+00 -1.201792025011094012e+01,1.740326982067275097e+01,1.000000000000000000e+00 -6.457082462408918033e+00,-1.559966047720136650e+01,1.000000000000000000e+00 -2.105947251379482665e+01,-4.066524050310797556e+00,1.000000000000000000e+00 -1.787357580991723438e+01,-2.135419503673841923e+00,1.000000000000000000e+00 -1.955848548793692743e+01,7.401194442349940950e+00,1.000000000000000000e+00 --3.079446174618643006e+00,1.913038719229226814e+01,1.000000000000000000e+00 --9.217172216359992731e+00,1.527217041406997211e+01,1.000000000000000000e+00 -8.224705590183873483e+00,2.017261461282702584e+01,1.000000000000000000e+00 --1.749777942338765868e+01,-1.151539351924551902e+01,1.000000000000000000e+00 -1.034680190611704020e+01,-1.963754488396148545e+01,1.000000000000000000e+00 -1.763095589337911662e+01,1.672278254557209687e+00,1.000000000000000000e+00 -6.598337664677481840e+00,-1.977406797872303201e+01,1.000000000000000000e+00 -1.042042874765041738e+01,-1.275830591034056560e+01,1.000000000000000000e+00 -7.112518493809214526e+00,-1.462910665470060678e+01,1.000000000000000000e+00 --1.513599595923272645e+01,1.521037463861764927e+01,1.000000000000000000e+00 -1.900245304385011735e+01,-2.367845735173759625e+00,1.000000000000000000e+00 -3.696622127364966315e-01,-2.208322951401586565e+01,1.000000000000000000e+00 --1.674446563614008809e+01,4.548141850778240958e+00,1.000000000000000000e+00 --1.560169366657280854e+01,8.564550568764795813e+00,1.000000000000000000e+00 --1.358193781909342590e+01,-1.097790552661601460e+01,1.000000000000000000e+00 --2.240185634211720611e+01,-5.603200611514385088e+00,1.000000000000000000e+00 -1.954452574678360932e+01,1.336835013392262539e+01,1.000000000000000000e+00 --2.858794153315326270e+00,-2.302730339878763388e+01,1.000000000000000000e+00 --2.455911165895627413e+00,-1.989143206333796599e+01,1.000000000000000000e+00 -1.584364903763910171e+01,9.646518995433194021e+00,1.000000000000000000e+00 -2.050691415187010591e+01,9.107882609707594890e-01,1.000000000000000000e+00 --1.798215621574233225e+01,-3.840035114518217885e+00,1.000000000000000000e+00 --5.218030398042513340e+00,-1.852003062825603408e+01,1.000000000000000000e+00 --1.626195615182393794e+01,7.999579969871203566e+00,1.000000000000000000e+00 --3.885580139627898166e+00,-2.126363182176448419e+01,1.000000000000000000e+00 -1.622631703332194064e+01,-9.112886568774294815e+00,1.000000000000000000e+00 -3.289233406699478834e+00,-1.578293616309770719e+01,1.000000000000000000e+00 --1.570206197463574149e+01,-8.112347071513182684e+00,1.000000000000000000e+00 --2.110023557641758885e+01,-3.414887568059537859e+00,1.000000000000000000e+00 --1.171737626436313207e+01,1.684019628289640735e+01,1.000000000000000000e+00 --8.229232676902782373e+00,2.025828909402180145e+01,1.000000000000000000e+00 --4.411049605760258174e+00,2.281047539610623431e+01,1.000000000000000000e+00 --1.361908495722199852e+01,-1.162599818090166970e+01,1.000000000000000000e+00 -9.069239175919369345e+00,1.525657976920708592e+01,1.000000000000000000e+00 -1.371782330866971433e+00,2.222735932935401237e+01,1.000000000000000000e+00 --1.631174401698077858e+01,1.912446542368404945e+00,1.000000000000000000e+00 -1.586417992501583818e+01,1.720846638598678169e+01,1.000000000000000000e+00 --6.100250645849026654e+00,2.043729798858883839e+01,1.000000000000000000e+00 --1.514274173120179756e-01,2.396069878730597935e+01,1.000000000000000000e+00 --1.866751544404865371e+01,2.590085678608596620e+00,1.000000000000000000e+00 -1.722152128357636514e+01,1.532105592989684695e+01,1.000000000000000000e+00 -1.632359579219197698e+01,3.070645410049057666e-01,1.000000000000000000e+00 --8.919678180244551058e+00,-1.406553559794046571e+01,1.000000000000000000e+00 -1.798477547300765522e+01,-5.923235847477148042e+00,1.000000000000000000e+00 -2.199583586046353645e+01,-6.432991015706561733e+00,1.000000000000000000e+00 --1.210606087628472949e+01,2.056880706205652487e+01,1.000000000000000000e+00 --1.567761440016490049e+01,-3.755054263113921653e+00,1.000000000000000000e+00 --1.181109540423527449e+01,1.897725652574823130e+01,1.000000000000000000e+00 -1.526917652603902731e+01,-7.398945499213142263e+00,1.000000000000000000e+00 -1.830250107970536533e+01,6.669530402613020215e+00,1.000000000000000000e+00 -1.603129138567219059e+01,-6.510980790719353983e+00,1.000000000000000000e+00 --1.087233064207762645e+01,-1.800804546254688887e+01,1.000000000000000000e+00 -9.696425322760605425e+00,-1.842533650807427037e+01,1.000000000000000000e+00 --1.097641534077534509e+01,-1.950583983611138450e+01,1.000000000000000000e+00 -8.940813979789155042e+00,-1.605524738886916225e+01,1.000000000000000000e+00 -6.324123844534630834e+00,2.030224064707331166e+01,1.000000000000000000e+00 --5.771326940266628291e+00,-2.149899821913217934e+01,1.000000000000000000e+00 --1.640349684038727318e+01,8.764427348820412078e+00,1.000000000000000000e+00 --1.196200090186676768e+01,1.233173970011232612e+01,1.000000000000000000e+00 -6.672753526427372961e+00,-1.613010582011700222e+01,1.000000000000000000e+00 --8.470705943984732755e+00,1.372223920783005191e+01,1.000000000000000000e+00 -3.136527504609972095e+00,-1.574731525821545297e+01,1.000000000000000000e+00 -8.779430717828166308e+00,-2.220454785260612240e+01,1.000000000000000000e+00 --1.975899624168256485e+00,1.647258011430297842e+01,1.000000000000000000e+00 -1.230965878216300702e+01,1.843755303784963573e+01,1.000000000000000000e+00 -1.198961865782439773e+01,1.906339524862348256e+01,1.000000000000000000e+00 --4.369594976406253051e-01,-2.136814521627741215e+01,1.000000000000000000e+00 --1.153596650343871488e+01,-1.746458284267908212e+01,1.000000000000000000e+00 --1.056519752895748177e+01,-1.354953930252310634e+01,1.000000000000000000e+00 --1.592817793746197097e+01,6.187303876972833905e+00,1.000000000000000000e+00 -1.093463168032933197e+01,2.132341045954430214e+01,1.000000000000000000e+00 --8.235602869193467512e+00,-1.865641389752591550e+01,1.000000000000000000e+00 --1.454006125251376780e+01,-1.123985805024244300e+01,1.000000000000000000e+00 --2.565505190490253273e+00,-2.340626388938940394e+01,1.000000000000000000e+00 -1.665974385519901801e+01,-1.374618648548013411e+00,1.000000000000000000e+00 --1.335309305414386571e+01,-1.796550630458822440e+01,1.000000000000000000e+00 --4.722899374382690141e+00,-1.892603425152083219e+01,1.000000000000000000e+00 --1.489728628889070983e+01,-1.687008779615263876e+01,1.000000000000000000e+00 --1.980491475369140275e+01,6.117387954710057585e+00,1.000000000000000000e+00 -1.854552807015078386e+01,5.656321833644797792e+00,1.000000000000000000e+00 --3.308639090088201229e-01,-1.940405230026158279e+01,1.000000000000000000e+00 --2.159815288257910382e+01,4.646469071929907990e+00,1.000000000000000000e+00 --2.943940135645302991e+00,1.736966318086229322e+01,1.000000000000000000e+00 --2.142856753274137915e+01,-9.898798358668107866e+00,1.000000000000000000e+00 -9.776476702853923229e+00,1.634405660464478061e+01,1.000000000000000000e+00 --1.177230338354111261e+01,2.016922706826369449e+01,1.000000000000000000e+00 -1.906215669925919087e+01,-2.941195507582941918e-02,1.000000000000000000e+00 -1.748929608461976670e+01,9.131879119712111859e+00,1.000000000000000000e+00 -7.300506941667010530e+00,1.469949163685404514e+01,1.000000000000000000e+00 -8.473729594218674777e+00,1.914678500486009227e+01,1.000000000000000000e+00 --1.499523124705943644e+01,-1.030882184404770996e+01,1.000000000000000000e+00 --1.629646418763191207e+01,1.348569901444114372e+00,1.000000000000000000e+00 -2.035982484527372804e+01,9.022390579586556214e+00,1.000000000000000000e+00 -2.137410489751234266e+01,7.494069355040792857e+00,1.000000000000000000e+00 -1.597308023387855869e+01,6.080482802867658521e+00,1.000000000000000000e+00 -1.443262597851837548e+01,-1.896843317146863228e+01,1.000000000000000000e+00 --4.315842059365481376e+00,1.705446539686293761e+01,1.000000000000000000e+00 -1.319916894392426521e+01,1.805744511264430585e+01,1.000000000000000000e+00 --1.759058978629317949e+01,-1.548474985972600138e+01,1.000000000000000000e+00 -2.082462611587753898e+01,6.607463476821727077e+00,1.000000000000000000e+00 --3.363806796273415944e+00,2.343131705141279042e+01,1.000000000000000000e+00 -5.954366534199434291e+00,-2.066555709222398107e+01,1.000000000000000000e+00 --2.102278354426128715e+01,8.011343166285978867e+00,1.000000000000000000e+00 -7.718584304440787136e+00,-1.437599354633448456e+01,1.000000000000000000e+00 -1.385456135098922203e+01,1.074151357564068121e+01,1.000000000000000000e+00 -1.994484467906970337e+01,1.235510224107671640e+01,1.000000000000000000e+00 --1.484191764160719273e+01,-1.012110610923690146e+01,1.000000000000000000e+00 -3.244618917909689593e+00,2.051327067488236722e+01,1.000000000000000000e+00 --1.938406729755708113e+01,-8.688565304893570485e+00,1.000000000000000000e+00 -1.478513249063537671e+01,-8.772792061643697181e+00,1.000000000000000000e+00 -1.567437276707519622e+01,-8.946857092930706301e+00,1.000000000000000000e+00 -1.282292163424287956e+01,2.002178021613681835e+01,1.000000000000000000e+00 --1.309994103974544366e+01,-1.530540351584944325e+01,1.000000000000000000e+00 -2.065284590031502532e+01,8.986394708865578451e+00,1.000000000000000000e+00 --3.799884320062938858e+00,2.100214796945848050e+01,1.000000000000000000e+00 -4.185996418896004712e-01,-1.932272879562866308e+01,1.000000000000000000e+00 --8.014643663295325515e-01,-2.145741140803774627e+01,1.000000000000000000e+00 -3.867347210815940350e+00,2.090780355591596518e+01,1.000000000000000000e+00 -1.799263625130667421e+01,9.927385959331937570e+00,1.000000000000000000e+00 -3.886771499111138173e+00,1.791094324980342378e+01,1.000000000000000000e+00 --9.773760806932845213e+00,1.303976848378022702e+01,1.000000000000000000e+00 -3.595550202052158473e-01,1.684261645691217524e+01,1.000000000000000000e+00 --2.032489831597553831e+01,1.152621995555932521e+01,1.000000000000000000e+00 --2.195941645981185886e+01,-8.896624415963758636e+00,1.000000000000000000e+00 --3.549846791126267220e+00,-1.636916020825658791e+01,1.000000000000000000e+00 --6.539620984264148396e-01,-2.384220191946839407e+01,1.000000000000000000e+00 --2.261051931966515216e+00,-1.609144845481474206e+01,1.000000000000000000e+00 +9.062095432950300733e+00,8.410568609122412553e+00,0.000000000000000000e+00 +-1.343405517875576327e-01,9.609814870236448314e+00,0.000000000000000000e+00 +-1.176738926012567887e+01,4.803147976205272840e-02,0.000000000000000000e+00 +-8.187928226885320404e-01,1.049254653793298786e+01,0.000000000000000000e+00 +4.191120791997052564e+00,-4.859337353049694386e+00,0.000000000000000000e+00 +7.278099468846941811e+00,4.440088331048181125e+00,0.000000000000000000e+00 +-1.900275675122245822e+00,-6.757950269983900249e+00,0.000000000000000000e+00 +-1.160051532664573593e+01,1.280720324354462258e+00,0.000000000000000000e+00 +-6.734042851045059841e+00,-9.662029276543851353e+00,0.000000000000000000e+00 +-1.590917618471234363e+00,-6.644126612710519630e+00,0.000000000000000000e+00 +-9.658061682157873307e+00,-5.631666951657030573e+00,0.000000000000000000e+00 +6.546514702885141146e-01,6.904946644254467358e+00,0.000000000000000000e+00 +5.825089114426075909e+00,-2.076091058228922481e+00,0.000000000000000000e+00 +-9.910757689306716856e+00,-5.394888599354432657e+00,0.000000000000000000e+00 +-1.066332396060839649e+01,-3.174463528066445495e+00,0.000000000000000000e+00 +-1.099429752168805585e+01,-5.286987975574418464e+00,0.000000000000000000e+00 +8.375759989492184587e+00,6.733285003867059082e+00,0.000000000000000000e+00 +8.244104799198593625e+00,-1.003506301778202925e+01,0.000000000000000000e+00 +9.942981682567344492e+00,-8.636124563447859614e+00,0.000000000000000000e+00 +8.033997548512344267e+00,2.515512562581684874e-01,0.000000000000000000e+00 +-6.428504738220388148e+00,-5.097581256039596553e+00,0.000000000000000000e+00 +-6.314421031249486838e+00,-5.175909050362075270e-01,0.000000000000000000e+00 +1.164619887502898354e+00,-1.320994498120528782e+01,0.000000000000000000e+00 +6.696829444560168376e+00,7.182729888738806245e+00,0.000000000000000000e+00 +-4.235246305491734198e+00,-7.159356454934342473e+00,0.000000000000000000e+00 +5.383052664452613989e+00,6.014628330823282631e+00,0.000000000000000000e+00 +-7.446474143451298211e+00,-3.072619184086839539e+00,0.000000000000000000e+00 +6.760530300065351383e+00,6.491756034733043634e+00,0.000000000000000000e+00 +2.734445225180177186e+00,-6.903850617524835087e+00,0.000000000000000000e+00 +-1.253932770562744814e+01,2.506102182116135779e+00,0.000000000000000000e+00 +-8.312994495650205096e+00,-9.668901686019307107e+00,0.000000000000000000e+00 +3.575184886406485685e+00,9.829701914520594386e+00,0.000000000000000000e+00 +9.210873348198441946e+00,-4.658467065733349899e-01,0.000000000000000000e+00 +2.294493514654305955e+00,-1.135717565800940143e+01,0.000000000000000000e+00 +7.417559270330603916e+00,-4.122257939560736162e+00,0.000000000000000000e+00 +7.852285329993975438e-01,-1.377764842065872308e+01,0.000000000000000000e+00 +-8.592381094680053621e+00,-1.036725741900020736e+01,0.000000000000000000e+00 +-9.463897506708443430e+00,-3.630513378318991791e+00,0.000000000000000000e+00 +2.926882716663875783e+00,5.282811617135619642e+00,0.000000000000000000e+00 +6.636824917046443950e+00,-6.325590953010028272e+00,0.000000000000000000e+00 +-3.206988557987293653e+00,7.029410513631201063e+00,0.000000000000000000e+00 +-4.483462085384717355e+00,-1.248765239318190368e+01,0.000000000000000000e+00 +-8.204039706532734400e+00,-8.828124739392466225e+00,0.000000000000000000e+00 +-4.491149550111644961e-01,-1.294422352630821038e+01,0.000000000000000000e+00 +7.584652864309679998e+00,-5.780844478800141850e+00,0.000000000000000000e+00 +-8.397574930127827741e+00,-6.072174091712802202e+00,0.000000000000000000e+00 +9.536024040617339992e+00,-4.885791167647323796e+00,0.000000000000000000e+00 +6.204913449369826139e+00,3.534932823231177856e+00,0.000000000000000000e+00 +5.343362143920028728e+00,8.020288325263983609e+00,0.000000000000000000e+00 +-1.100612678432352354e+01,8.711273195141605585e-01,0.000000000000000000e+00 +4.041258899744661015e+00,-4.531661311465215114e+00,0.000000000000000000e+00 +-1.081323332747492927e+01,-3.850249842643757026e-01,0.000000000000000000e+00 +-1.651469177720229942e+00,9.092961241515524762e+00,0.000000000000000000e+00 +-3.598983124757430652e+00,6.034186070324961015e+00,0.000000000000000000e+00 +4.857977932252491193e+00,-4.455138316533950871e+00,0.000000000000000000e+00 +-8.556999694314926685e+00,-9.276087351455689856e+00,0.000000000000000000e+00 +1.646002476627940636e+00,5.914559167101281822e+00,0.000000000000000000e+00 +-6.747697232463481853e+00,1.166916843249992475e+01,0.000000000000000000e+00 +1.119233611961231745e+01,-7.945378535110935836e+00,0.000000000000000000e+00 +-4.891468942769719774e+00,5.718555798419916236e+00,0.000000000000000000e+00 +-5.016619212735019540e-01,6.283371595425017553e+00,0.000000000000000000e+00 +-7.914146529220673187e+00,2.297769580684648982e+00,0.000000000000000000e+00 +-6.976824699389136519e+00,-7.473491510144525840e+00,0.000000000000000000e+00 +2.279976267026866676e-01,6.685022805602209850e+00,0.000000000000000000e+00 +2.775182125658465004e+00,-6.530772876454421727e+00,0.000000000000000000e+00 +-1.152484573953299751e+01,-3.781685492550360461e+00,0.000000000000000000e+00 +-7.665724454478979766e+00,1.061841609529312258e+01,0.000000000000000000e+00 +-6.050947749312078017e+00,-8.308928997465619304e+00,0.000000000000000000e+00 +1.127772297836719950e+01,5.211296464343789125e+00,0.000000000000000000e+00 +-1.113470689407102654e+01,6.260234650393305067e+00,0.000000000000000000e+00 +2.341543601664675567e+00,7.532088552934100179e+00,0.000000000000000000e+00 +-4.151751846745349361e+00,-7.490335637551074122e+00,0.000000000000000000e+00 +-7.805147815211818774e+00,3.243245274640753184e+00,0.000000000000000000e+00 +4.336434630574473204e+00,6.006705659813466269e+00,0.000000000000000000e+00 +2.212679442407554653e+00,7.218280668172093684e+00,0.000000000000000000e+00 +5.220755351664055688e+00,-4.094926467596918584e+00,0.000000000000000000e+00 +1.112747926534001941e+01,3.850834041798686602e+00,0.000000000000000000e+00 +-2.595587501786106532e+00,-9.806357366695770850e+00,0.000000000000000000e+00 +-9.028343948742850955e+00,8.915749548117700485e+00,0.000000000000000000e+00 +1.126634632652508117e+01,-6.482595170923743488e+00,0.000000000000000000e+00 +-3.286842484116981655e+00,-7.646127648092450713e+00,0.000000000000000000e+00 +7.419845811945131153e+00,9.565847320886607719e+00,0.000000000000000000e+00 +5.978018377910639281e+00,1.217238176923184412e+01,0.000000000000000000e+00 +-6.711146678585069303e+00,-4.722415378405640851e+00,0.000000000000000000e+00 +-8.485783184510578891e+00,5.672952800632031334e+00,0.000000000000000000e+00 +-1.144014291076578083e+01,-3.478202066131522052e+00,0.000000000000000000e+00 +4.384873230300504687e+00,-5.549646589217950066e+00,0.000000000000000000e+00 +-1.168300744153292747e+01,-5.194818386960251999e+00,0.000000000000000000e+00 +-9.644136031176124835e-01,1.049805166565995762e+01,0.000000000000000000e+00 +-6.536842892201116584e+00,5.345306757313686319e+00,0.000000000000000000e+00 +8.438989962482976281e+00,-3.475208865011710557e+00,0.000000000000000000e+00 +6.506186462480673782e+00,-3.744626303119004684e-01,0.000000000000000000e+00 +-3.862160515126369820e+00,5.446476112276574355e+00,0.000000000000000000e+00 +6.134051169689144878e+00,-1.978516060449600378e+00,0.000000000000000000e+00 +1.185204996490637264e+01,-6.124766316013841028e+00,0.000000000000000000e+00 +-4.859569339875388749e+00,6.353425638518374718e+00,0.000000000000000000e+00 +-1.519343617847903394e+00,-1.248943950276429504e+01,0.000000000000000000e+00 +-1.144861509135489541e+01,6.053286005181219842e+00,0.000000000000000000e+00 +4.331788290673597608e+00,-6.109292230414607339e+00,0.000000000000000000e+00 +3.334070762472415517e+00,5.456281297241006634e+00,0.000000000000000000e+00 +-1.065870788968298122e+01,-2.340567870836013586e+00,0.000000000000000000e+00 +-1.463630422294582845e+00,-1.001221660907637023e+01,0.000000000000000000e+00 +-3.258706257441662313e+00,-1.088106300955284844e+01,0.000000000000000000e+00 +6.275135646820408475e+00,-1.534938715019705135e+00,0.000000000000000000e+00 +2.021073821693852857e+00,-8.018368767233782890e+00,0.000000000000000000e+00 +-3.182102089242570653e+00,-1.088037918116285319e+01,0.000000000000000000e+00 +5.481629019877129139e+00,1.022320040714743250e+01,0.000000000000000000e+00 +-8.330105300232894194e+00,-8.288555228352629811e+00,0.000000000000000000e+00 +-2.755674768703163746e+00,1.187433721777218132e+01,0.000000000000000000e+00 +-4.683040648747073043e+00,8.164208797263796669e+00,0.000000000000000000e+00 +1.119515335900578279e-01,1.335746486991257598e+01,0.000000000000000000e+00 +6.700119633932653862e+00,1.082193885842432124e+01,0.000000000000000000e+00 +-8.550301619333071201e+00,3.419675931901079213e+00,0.000000000000000000e+00 +7.176748453521003768e+00,-1.025820308032380268e+01,0.000000000000000000e+00 +-5.041595214606491737e+00,9.063531739248613661e+00,0.000000000000000000e+00 +1.194486108691321880e+00,-1.044990485316076168e+01,0.000000000000000000e+00 +-9.686906870031076977e+00,-3.619449339125635490e+00,0.000000000000000000e+00 +-1.313845064569455801e+01,-8.365893417087570949e-01,0.000000000000000000e+00 +4.065075556680537439e+00,-5.805028193121499314e+00,0.000000000000000000e+00 +8.590045804906507598e+00,-1.083068171753233067e+01,0.000000000000000000e+00 +5.126125837069420932e+00,-4.406654442924812010e+00,0.000000000000000000e+00 +1.353837046348684758e+01,-5.790225488579785473e-01,0.000000000000000000e+00 +1.111931563740836282e+01,-2.045835439299618752e+00,0.000000000000000000e+00 +8.023788031578961366e+00,8.147772272168204211e+00,0.000000000000000000e+00 +-7.017294184359236908e+00,5.831118776551057259e+00,0.000000000000000000e+00 +-1.141949019659495335e+01,3.877836369592378762e+00,0.000000000000000000e+00 +-6.568151289332938014e-02,1.385097687202117989e+01,0.000000000000000000e+00 +1.198497403418259211e+01,5.562064536545864579e-02,0.000000000000000000e+00 +-8.044794464020926128e+00,7.363341681713536646e-01,0.000000000000000000e+00 +-1.338591590468644377e+01,-4.094229452548190373e+00,0.000000000000000000e+00 +5.673372417420740055e-01,8.086269673969569638e+00,0.000000000000000000e+00 +3.516308154983770695e+00,-6.695867415477852802e+00,0.000000000000000000e+00 +1.281549230629557101e+01,5.502104265343782608e+00,0.000000000000000000e+00 +6.978521281232607620e+00,4.489103854629955315e+00,0.000000000000000000e+00 +-9.492072557224918938e+00,-2.860723420255278260e+00,0.000000000000000000e+00 +6.435965292187971976e+00,-2.007430821741474691e+00,0.000000000000000000e+00 +9.787301848081414235e+00,-3.385987285381478085e+00,0.000000000000000000e+00 +-2.560272080421012397e+00,-1.060761918876632492e+01,0.000000000000000000e+00 +-5.741879482881461882e+00,7.675351118488469737e+00,0.000000000000000000e+00 +4.909833311186836191e+00,-7.884078238568854147e+00,0.000000000000000000e+00 +8.530059544583025399e+00,-8.271604816591201725e+00,0.000000000000000000e+00 +-8.137833035927506842e+00,4.752299354840485712e+00,0.000000000000000000e+00 +-2.945364290828344167e+00,1.181024110146612216e+01,0.000000000000000000e+00 +6.413013358841276101e+00,2.686811429118250771e+00,0.000000000000000000e+00 +-4.330576883415815814e+00,-4.312151816386741388e+00,0.000000000000000000e+00 +7.819651364870956911e+00,5.581944049584605771e+00,0.000000000000000000e+00 +6.374923678964727003e+00,-3.591063433682733397e+00,0.000000000000000000e+00 +3.920317473054968804e+00,-1.285867128337139675e+01,0.000000000000000000e+00 +5.969112688202600658e+00,-1.199043474049174485e+01,0.000000000000000000e+00 +2.206761741887119044e+00,1.231498183866549212e+01,0.000000000000000000e+00 +-4.493238306901402301e-02,-1.241246581439543739e+01,0.000000000000000000e+00 +-1.229500249305082527e+01,-3.152142610476000417e+00,0.000000000000000000e+00 +-4.249457240746512987e+00,9.692207951492818552e+00,0.000000000000000000e+00 +1.124606336305911114e+01,-7.885118833499940028e-01,0.000000000000000000e+00 +-1.059106427242662107e+01,7.468063051536828034e+00,0.000000000000000000e+00 +2.281377873306516868e+00,8.258766252373336059e+00,0.000000000000000000e+00 +2.776342194763606885e-01,1.145304502140566072e+01,0.000000000000000000e+00 +-1.779778342255576185e+00,1.103845161819147513e+01,0.000000000000000000e+00 +-1.138825413050090596e+01,1.875254253119878145e+00,0.000000000000000000e+00 +6.794503066116404089e-01,6.595367984622427571e+00,0.000000000000000000e+00 +4.977831129044696823e+00,-4.344026277914559309e+00,0.000000000000000000e+00 +1.741129599087095914e-01,-6.894034268664321452e+00,0.000000000000000000e+00 +2.475097088111755106e+00,-1.093174226816173800e+01,0.000000000000000000e+00 +3.991853833727508238e+00,1.121533736074506393e+01,0.000000000000000000e+00 +-1.686119504345058084e+00,1.009423236139700819e+01,0.000000000000000000e+00 +-1.317728548656465115e+01,4.029926630934554055e+00,0.000000000000000000e+00 +-7.730210435536935876e+00,-3.848806311305841277e+00,0.000000000000000000e+00 +-5.953807133460072620e+00,-6.561968042369668019e+00,0.000000000000000000e+00 +4.341106468164319665e+00,5.866644648406567519e+00,0.000000000000000000e+00 +-1.305998549861713798e+01,-3.139159220886123869e+00,0.000000000000000000e+00 +-6.907088887148628231e+00,2.993819425329168560e+00,0.000000000000000000e+00 +-7.307345974834201563e+00,-4.562759938513091029e+00,0.000000000000000000e+00 +6.485560801850815515e+00,9.021112597985857517e-01,0.000000000000000000e+00 +-9.370938668690817153e+00,-5.994195588713087552e+00,0.000000000000000000e+00 +9.617050841017174889e+00,-8.612082699874843428e+00,0.000000000000000000e+00 +9.409055950093341281e+00,-4.741431344911000156e-01,0.000000000000000000e+00 +-2.289336158713492608e+00,-7.659638808729879678e+00,0.000000000000000000e+00 +-1.380307893247301410e+00,-1.191093891786717762e+01,0.000000000000000000e+00 +9.393772070883024128e+00,1.529664323780117297e+00,0.000000000000000000e+00 +-1.516956642220887330e+00,-1.318124950821260200e+01,0.000000000000000000e+00 +-7.540611170155883336e+00,-6.656209192745754955e+00,0.000000000000000000e+00 +6.043360171054082741e+00,2.972465656442218052e+00,0.000000000000000000e+00 +1.043883027536696773e+01,-9.223050403079646742e+00,0.000000000000000000e+00 +-6.494305285412059980e+00,-9.357575042166038637e-01,0.000000000000000000e+00 +-8.233458392848859830e+00,5.152019730950110343e+00,0.000000000000000000e+00 +-8.182185219358300898e+00,2.576432004853596691e+00,0.000000000000000000e+00 +-7.296388033822859498e+00,-9.827599822187037759e+00,0.000000000000000000e+00 +1.086329745254326973e+01,-5.918393716619380074e-01,0.000000000000000000e+00 +3.517974198525071650e+00,-6.776790760325667407e+00,0.000000000000000000e+00 +-4.619640812695988252e+00,4.293083132292331072e+00,0.000000000000000000e+00 +-7.575960827573930523e+00,1.906506832631534865e+00,0.000000000000000000e+00 +4.216280904076635139e+00,-9.501055347552291863e+00,0.000000000000000000e+00 +-3.913629666268576557e+00,-1.058803850666876833e+01,0.000000000000000000e+00 +-5.407697948813054545e+00,9.037098612814480347e+00,0.000000000000000000e+00 +-9.573363214934863308e+00,5.940753943407081294e+00,0.000000000000000000e+00 +-4.206161487099325136e+00,-1.309635619914643634e+01,0.000000000000000000e+00 +-1.847425878338489147e+00,-1.136719147233808869e+01,0.000000000000000000e+00 +-6.538610721752731614e+00,6.888582381247962516e+00,0.000000000000000000e+00 +7.392422157939151361e+00,-2.466102574943974446e+00,0.000000000000000000e+00 +1.481439456830948798e+00,1.123186173935424748e+01,0.000000000000000000e+00 +1.573273104063076921e+01,1.868971488131447956e+01,1.000000000000000000e+00 +-1.099399377759256780e+01,2.390619522460748669e+01,1.000000000000000000e+00 +2.147678989689537588e+01,-8.599456107960150586e-01,1.000000000000000000e+00 +-2.627270035353325994e+01,-1.252577732524266185e+00,1.000000000000000000e+00 +-2.818139029858682676e+01,-3.649359736607879157e+00,1.000000000000000000e+00 +-2.628880642668411927e+00,2.321951252726932324e+01,1.000000000000000000e+00 +4.756784474337030666e+00,2.277609552632346990e+01,1.000000000000000000e+00 +1.085358516551754704e+01,2.244033595971868067e+01,1.000000000000000000e+00 +9.953077736469481351e+00,2.433413308722969148e+01,1.000000000000000000e+00 +7.897350785936433581e+00,-2.511574616187301956e+01,1.000000000000000000e+00 +-2.686822103988273369e+01,-6.847214913897639477e+00,1.000000000000000000e+00 +-2.281779599215670640e+00,-2.525501734479204430e+01,1.000000000000000000e+00 +1.939928400570243738e+01,-1.464288091459299856e+01,1.000000000000000000e+00 +-2.137322440460813056e+01,-4.253473020316800857e-01,1.000000000000000000e+00 +-2.801982415469146659e+01,6.797937345022894706e-02,1.000000000000000000e+00 +1.580530092266972098e+01,-1.944844405031079404e+01,1.000000000000000000e+00 +8.514232141761185702e+00,2.578196439746885105e+01,1.000000000000000000e+00 +9.161537436501838716e-01,2.126087176747068952e+01,1.000000000000000000e+00 +-2.100910930376482355e+01,5.187756086794577115e+00,1.000000000000000000e+00 +-1.887413186880452898e+01,-9.446453231504504444e+00,1.000000000000000000e+00 +-1.244973267290554908e+01,-2.376720011280642453e+01,1.000000000000000000e+00 +-8.636428179695197827e+00,-2.346212683200547389e+01,1.000000000000000000e+00 +-2.000836523737761397e+01,-1.425301495177956035e+01,1.000000000000000000e+00 +1.940837366976037259e+01,-1.393076839654248467e+01,1.000000000000000000e+00 +-1.833469807838950416e+01,-1.346167122655688431e+01,1.000000000000000000e+00 +2.494705394044481750e+01,-5.494995405026316782e+00,1.000000000000000000e+00 +-1.665557705744208761e+01,-1.798221914000725263e+01,1.000000000000000000e+00 +2.572752693938492641e+01,-1.311370549041896538e+01,1.000000000000000000e+00 +-8.244290646775706222e+00,2.084206231459166858e+01,1.000000000000000000e+00 +-7.885354738212532411e+00,2.116800800201663435e+01,1.000000000000000000e+00 +-2.003647125145762686e+01,-6.608417731861560895e+00,1.000000000000000000e+00 +6.209578562958157910e+00,-2.452260025417416500e+01,1.000000000000000000e+00 +-2.173539700526108120e+01,-9.535163494027462106e-01,1.000000000000000000e+00 +-1.224412708268634908e+01,-2.009421260915946306e+01,1.000000000000000000e+00 +-1.075840330797242572e+01,1.858300890695775820e+01,1.000000000000000000e+00 +-2.600534803198775435e+01,1.591213249083642367e+00,1.000000000000000000e+00 +9.361088087715186745e+00,2.230199633678528315e+01,1.000000000000000000e+00 +2.624073342088111715e+01,5.375489823808733192e+00,1.000000000000000000e+00 +5.292561881430067672e+00,2.830901784997630344e+01,1.000000000000000000e+00 +2.078059335633197335e+01,-5.406876312280275876e+00,1.000000000000000000e+00 +1.797212134077285128e+01,1.974674511194298177e+01,1.000000000000000000e+00 +1.418423831415259961e+00,2.824393733375810811e+01,1.000000000000000000e+00 +-2.523700214170278855e+01,-1.302431052248969046e+01,1.000000000000000000e+00 +-2.359325729631554225e+01,1.193588174281041958e+01,1.000000000000000000e+00 +4.894404473767219876e+00,2.115271000609101293e+01,1.000000000000000000e+00 +-1.569787656706957790e+01,-2.226072207802415903e+01,1.000000000000000000e+00 +2.768855825457124098e+01,5.605075740675674822e+00,1.000000000000000000e+00 +-2.387485343307933405e+01,8.035087859152445944e+00,1.000000000000000000e+00 +2.228670073867370860e+01,-1.148109322020260592e+01,1.000000000000000000e+00 +-1.585909433097451071e+01,2.303658854092108399e+01,1.000000000000000000e+00 +2.357944877093274982e+01,-1.175374184082949114e+01,1.000000000000000000e+00 +-1.480393836152355291e+01,2.187304118659174179e+01,1.000000000000000000e+00 +1.913088892130262053e+01,-9.150390103571130140e+00,1.000000000000000000e+00 +1.376147828505578374e+01,2.459517012664668911e+01,1.000000000000000000e+00 +1.443518228384972168e+01,1.539166840543182602e+01,1.000000000000000000e+00 +-1.093411572583228342e+01,2.157779792143726638e+01,1.000000000000000000e+00 +1.457084675867774415e+01,2.058110886110986470e+01,1.000000000000000000e+00 +1.456059238093794583e+01,-2.130944108185470753e+01,1.000000000000000000e+00 +-8.355501425562577023e-01,-2.281181486053621299e+01,1.000000000000000000e+00 +2.704093247153310031e+01,-8.429506993953767235e+00,1.000000000000000000e+00 +-2.124312453800017408e+01,-1.526040990890658122e+01,1.000000000000000000e+00 +-2.136641894209649095e+01,3.040648060253774432e-01,1.000000000000000000e+00 +-2.612199279305723820e+01,2.209045858016001618e-01,1.000000000000000000e+00 +-1.850413196330870136e+01,-1.133828795179985072e+01,1.000000000000000000e+00 +2.110676114344656895e+01,-1.966560125193576170e+01,1.000000000000000000e+00 +-1.065571376892860300e+01,-2.383858015746411851e+01,1.000000000000000000e+00 +-2.481993646286784028e+01,-5.096020447884035853e+00,1.000000000000000000e+00 +2.623216441805807619e+01,1.074989474234195796e+01,1.000000000000000000e+00 +2.147028827385963012e+01,1.653440992215027450e+01,1.000000000000000000e+00 +-9.217202701913098650e+00,2.489761654565133853e+01,1.000000000000000000e+00 +-1.937546768872905290e+01,2.127878701127900740e+01,1.000000000000000000e+00 +-5.924662594668204108e+00,-2.798573897331829130e+01,1.000000000000000000e+00 +1.249879505486993736e+01,2.054501486018938294e+01,1.000000000000000000e+00 +-1.429705926472585453e+01,1.731857462323765162e+01,1.000000000000000000e+00 +2.506288393682114446e+01,1.023037004319879095e+00,1.000000000000000000e+00 +-2.374518316171267429e+01,-4.110056212841346479e+00,1.000000000000000000e+00 +-4.685801268652608265e+00,2.681770544346142415e+01,1.000000000000000000e+00 +-1.636465900606647139e+01,-1.400104502066578860e+01,1.000000000000000000e+00 +-3.820694096413083773e+00,-2.344946840684222877e+01,1.000000000000000000e+00 +-2.730718148408208990e+01,-5.702233129672412026e+00,1.000000000000000000e+00 +1.526350021196561180e+01,-2.195423474625367533e+01,1.000000000000000000e+00 +-2.310367333743900531e+01,-3.529448810485903198e+00,1.000000000000000000e+00 +2.214294872855819918e+01,-2.554368757533279410e+00,1.000000000000000000e+00 +2.515511456743908880e+01,5.638475578451005443e-01,1.000000000000000000e+00 +-2.610666366339259170e+01,6.393728951851616493e+00,1.000000000000000000e+00 +-2.613636115978982843e+01,2.234408800128391270e+00,1.000000000000000000e+00 +2.072443839280482791e+01,-4.241044169515961748e+00,1.000000000000000000e+00 +-2.179363306807708511e+01,-2.219080654082041804e+00,1.000000000000000000e+00 +-5.755683200863610516e+00,-2.649364343689698842e+01,1.000000000000000000e+00 +-5.857497203861713686e+00,-2.647591147085865870e+01,1.000000000000000000e+00 +-5.459558693088531811e+00,2.788104381472268400e+01,1.000000000000000000e+00 +3.427184099803823325e-01,-2.407137911651751949e+01,1.000000000000000000e+00 +1.061809394417809038e+01,-1.913013651650792468e+01,1.000000000000000000e+00 +-6.170046215751034957e+00,2.688331541601552033e+01,1.000000000000000000e+00 +2.677989002899861504e+01,3.021183912819540573e+00,1.000000000000000000e+00 +1.083062130122765510e+01,-1.830172721846291850e+01,1.000000000000000000e+00 +3.580835672240723522e+00,-2.239452967733392796e+01,1.000000000000000000e+00 +-3.044557199432845529e+00,-2.688141071009908600e+01,1.000000000000000000e+00 +-2.583745747369688672e+01,8.347225757017310954e+00,1.000000000000000000e+00 +1.762724598409085175e+01,1.726998052121857441e+01,1.000000000000000000e+00 +1.643060907548389693e+01,1.973520095431023336e+01,1.000000000000000000e+00 +2.741842920091284341e+01,-2.610174934885582942e+00,1.000000000000000000e+00 +-2.672059870628813272e+01,3.910225727005835900e-02,1.000000000000000000e+00 +1.605260460268317502e+01,2.345994894291840183e+01,1.000000000000000000e+00 +-2.049497282996839687e+01,-1.594388950125812521e+01,1.000000000000000000e+00 +-2.638077417794028179e+01,-7.506860614897715500e+00,1.000000000000000000e+00 +1.135912814594559705e+01,2.263410882293552362e+01,1.000000000000000000e+00 +-2.131198135157140072e+01,5.342497366994218844e-01,1.000000000000000000e+00 +-2.493192955221257279e+01,-3.390420038797758551e+00,1.000000000000000000e+00 +-1.920154011348070000e+01,-1.668775834010846637e+01,1.000000000000000000e+00 +-2.373950481351785768e+01,-1.189906327932049734e+01,1.000000000000000000e+00 +1.720133100073515919e+01,-1.298798646107649546e+01,1.000000000000000000e+00 +1.032928046222053275e+01,-2.109396432727021065e+01,1.000000000000000000e+00 +1.632802282077261680e+01,2.024775105547126941e+01,1.000000000000000000e+00 +1.994211809924351186e+01,2.077471006435687784e+01,1.000000000000000000e+00 +2.568300097148087247e+01,-8.861716607679204216e+00,1.000000000000000000e+00 +-2.239700074240493777e+01,3.534284268236923765e+00,1.000000000000000000e+00 +-1.004781490610434602e+01,1.987594221138026285e+01,1.000000000000000000e+00 +-2.291267046192328394e+01,-1.312952385196898675e+01,1.000000000000000000e+00 +-2.083400139916478011e+01,1.367840467092887025e+01,1.000000000000000000e+00 +-3.221901391570413331e+00,2.319656316993572887e+01,1.000000000000000000e+00 +-1.615965062141641084e+01,-1.387331136271443199e+01,1.000000000000000000e+00 +2.069747316736948761e+01,-1.147884159567122353e+01,1.000000000000000000e+00 +2.486770183110991184e+01,-2.339728497108470862e-01,1.000000000000000000e+00 +2.149483025993792040e+01,-5.457067273154549980e+00,1.000000000000000000e+00 +2.178731583466868216e+01,-8.611277695152226741e+00,1.000000000000000000e+00 +-2.819828929677607476e+01,1.494550304680388964e+00,1.000000000000000000e+00 +2.497391257077165960e+01,-2.050764603404877651e+00,1.000000000000000000e+00 +2.271904439997901903e+01,-5.323111949980447122e+00,1.000000000000000000e+00 +-2.328784573925989676e+01,6.785810459573639042e-01,1.000000000000000000e+00 +-2.848732005134823453e+01,-4.982707054711080219e-01,1.000000000000000000e+00 +-2.165765020607312863e+01,1.352688804656367871e+01,1.000000000000000000e+00 +7.967025472762848004e+00,-2.433312685834100009e+01,1.000000000000000000e+00 +-2.119818411541692527e+01,-2.418414204064400330e+00,1.000000000000000000e+00 +-1.558443623565947433e+01,1.641174419907369142e+01,1.000000000000000000e+00 +-2.082915539559499862e+01,-7.437332431993692872e+00,1.000000000000000000e+00 +2.559979330876547721e+01,-3.001953567538953926e+00,1.000000000000000000e+00 +-1.360557447237118245e+00,-2.281304107613448906e+01,1.000000000000000000e+00 +2.120883803732100858e+01,-1.446018697744938741e+01,1.000000000000000000e+00 +1.391155978732186327e+01,-1.747318229034387826e+01,1.000000000000000000e+00 +1.144475890863789580e+01,-1.972159647135347171e+01,1.000000000000000000e+00 +-1.535318812347566109e+01,-2.144716578645262572e+01,1.000000000000000000e+00 +-2.607594731370153074e+00,2.701312253739854796e+01,1.000000000000000000e+00 +-1.334053456404284077e+01,-2.084889283182081599e+01,1.000000000000000000e+00 +1.998640594085265221e+01,1.720332962609349536e+01,1.000000000000000000e+00 +2.600535599273910492e+01,-1.276148460329973844e+01,1.000000000000000000e+00 +2.053596390340138811e+01,6.685120048962751582e+00,1.000000000000000000e+00 +2.218491300901504459e+01,2.621424574218144343e+00,1.000000000000000000e+00 +2.422636853488194930e+01,-9.948171788084671618e+00,1.000000000000000000e+00 +-2.033677988510935464e+01,1.620601851879276722e+01,1.000000000000000000e+00 +1.779272758076690408e+01,1.297545655685749999e+01,1.000000000000000000e+00 +1.170332534869767827e+01,2.323496705447028177e+01,1.000000000000000000e+00 +1.943385226906604757e+01,-9.425801367760476168e+00,1.000000000000000000e+00 +1.772384009512879643e+01,-1.820490739410527681e+01,1.000000000000000000e+00 +1.840152047079322983e+01,-1.589728872981584828e+01,1.000000000000000000e+00 +3.254618704199605528e+00,-2.694420946928563154e+01,1.000000000000000000e+00 +-2.027940100142528124e+00,-2.357110419141051239e+01,1.000000000000000000e+00 +-2.079785053187988808e+01,6.969151913322670033e+00,1.000000000000000000e+00 +1.333160136635900805e+01,1.955228905670615447e+01,1.000000000000000000e+00 +-2.337230297711032279e+01,4.946199771144971002e+00,1.000000000000000000e+00 +2.824049165135675921e+01,2.421501932209903785e-01,1.000000000000000000e+00 +-1.924952663450711654e+01,1.001865500041339097e+01,1.000000000000000000e+00 +1.161828018995340273e+01,-2.316147917217766761e+01,1.000000000000000000e+00 +-2.115519342857973228e+01,9.507389082689076787e+00,1.000000000000000000e+00 +-1.631523968261841162e+01,1.663595577256764457e+01,1.000000000000000000e+00 +2.478598127000429940e+01,-1.099951470185801483e+01,1.000000000000000000e+00 +2.714127299805003801e+01,-4.214881301056182750e+00,1.000000000000000000e+00 +-2.031208480873932842e+01,5.489224324605968874e+00,1.000000000000000000e+00 +1.131393395507636335e+01,-1.911809820478688593e+01,1.000000000000000000e+00 +9.872220307355086266e-01,2.477132951265166483e+01,1.000000000000000000e+00 +2.368443361556522220e+01,6.908070614196779147e+00,1.000000000000000000e+00 +-6.550111289632817524e+00,-2.362637227568149356e+01,1.000000000000000000e+00 +7.142292479753053591e+00,-2.807003130402094726e+01,1.000000000000000000e+00 +9.220217262888104059e+00,2.318491894192909797e+01,1.000000000000000000e+00 +-1.278070362574096563e+01,2.491815532847987313e+01,1.000000000000000000e+00 +1.544822472767310906e+01,-1.905927650362333736e+01,1.000000000000000000e+00 +-1.782148007375803545e+01,-1.270499655956880680e+01,1.000000000000000000e+00 +-2.598083105734318821e+01,-1.166340717489061873e+01,1.000000000000000000e+00 +-2.115329431705612961e+01,1.922103940750838902e+01,1.000000000000000000e+00 +-8.572106253750373384e+00,2.167156366831950720e+01,1.000000000000000000e+00 +-2.222844308368978616e+01,1.216371128338294305e+01,1.000000000000000000e+00 +-1.460159793703849296e+01,-1.873375216063436000e+01,1.000000000000000000e+00 +-2.171765776703275463e+01,-1.476020540458901920e+01,1.000000000000000000e+00 +-4.238550116190669570e+00,-2.389972003984688698e+01,1.000000000000000000e+00 +6.165939327369154732e+00,-2.683570375136353903e+01,1.000000000000000000e+00 +1.719572832923617156e+01,1.677410597119486368e+01,1.000000000000000000e+00 +1.873103075511164661e+01,1.918492263728331793e+01,1.000000000000000000e+00 +-9.227368178597460613e+00,-2.473440238093422394e+01,1.000000000000000000e+00 +-1.831003118936073193e+01,2.071120293221047959e+01,1.000000000000000000e+00 +1.351990022808921310e+01,-2.261653460112551173e+01,1.000000000000000000e+00 +2.850165519451800833e+01,4.157533834040251897e+00,1.000000000000000000e+00 +-1.993243840613153850e+01,8.919474195504907499e+00,1.000000000000000000e+00 +2.363463868162161319e+01,1.369461759608625684e+01,1.000000000000000000e+00 +-2.178992915483502557e+01,1.301881154832546628e+00,1.000000000000000000e+00 +2.022320544459192959e+01,-1.805379750173514708e+01,1.000000000000000000e+00 +-7.998643143606845918e+00,-2.319610733875643760e+01,1.000000000000000000e+00 +2.618081162402923923e+01,1.037024573479389034e+01,1.000000000000000000e+00 +2.127632507298599407e+01,8.437198622827882799e-01,1.000000000000000000e+00 +-1.407077715450147792e+01,-2.020577296356315955e+01,1.000000000000000000e+00 +2.293969907863483115e+01,-1.194796862278524108e+00,1.000000000000000000e+00 diff --git a/tips/datasets.ipynb b/tips/datasets.ipynb index 64e57ec..2f2034a 100644 --- a/tips/datasets.ipynb +++ b/tips/datasets.ipynb @@ -4,7 +4,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Datasets" + "## Datasets\n", + "\n", + "机器学习是数据驱动的方法，因此数据在算法的编写、测试环节起到非常重要的作用。下面列出了一些比较常用的数据，可以比较方便的来测试无监督、监督算法等。" ] }, { @@ -270,12 +272,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 2, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -300,7 +302,7 @@ "y_1 = [0 for _ in range(n)]\n", "\n", "t2 = (np.random.rand(n, 1)*2-1)*np.pi\n", - "r2 = 20 + (np.random.rand(n, 1)*2-1)*4\n", + "r2 = 25 + (np.random.rand(n, 1)*2-1)*4\n", "x_2 = np.concatenate((r2 * np.cos(t2), r2 * np.sin(t2)), axis=1)\n", "y_2 = [1 for _ in range(n)]\n", "\n", diff --git a/tips/notebook_tips.ipynb b/tips/notebook_tips.ipynb index 29e881c..f3206a2 100644 --- a/tips/notebook_tips.ipynb +++ b/tips/notebook_tips.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -48,7 +48,7 @@ "" ] }, - "execution_count": 7, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -104,7 +104,7 @@ "" ] }, - "execution_count": 6, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } diff --git a/tips/requirements.txt b/tips/requirements.txt deleted file mode 100644 index 80d5268..0000000 --- a/tips/requirements.txt +++ /dev/null @@ -1,55 +0,0 @@ -# -# pre-requirements (use python3.5 for better compability) -# sudo apt-get install python3.5 python3.5-dev -# sudo apt-get install python3-tk -# - -# -# pip -# sudo apt-get install python-pip python3-pip -# pip install pip -U -# pip config set global.index-url 'https://mirrors.ustc.edu.cn/pypi/web/simple' -# - -# -# Install virtualenv -# pip install setuptools -# pip install virtualenv -# pip install virtualenvwrapper -# pip install virtualenvwrapper-win　　#Windows使用该命令 -# -# Add following lines to `~/.bashrc` -# # virtualenv -# export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python -# export WORKON_HOME=/home/bushuhui/virtualenv -# source /usr/local/bin/virtualenvwrapper.sh　 -# -# Usage: -# # create virtual env -# mkvirtualenv --python=/usr/local/python3.5.3/bin/python venv -# -# # active virtual env -# workon venv -# - -# -# Install this list packages: -# pip install -r requirements.txt -# - - -numpy -matplotlib==3.0.3 -sklearn -statsmodels -pandas==0.24.2 -ipython -jupyter - -fire -torchvision -visdom -jieba -ipdb -tqdm - diff --git a/tips/构建深度神经网络的一些实战建议.md b/tips/构建深度神经网络的一些实战建议.md index a4443af..431f22c 100644 --- a/tips/构建深度神经网络的一些实战建议.md +++ b/tips/构建深度神经网络的一些实战建议.md @@ -6,6 +6,11 @@ +更多详细的深度学习技巧等可以参考： +* [Machine Learning Yearning 中文版 - 《机器学习训练秘籍》](https://github.com/deeplearning-ai/machine-learning-yearning-cn) ([在线阅读](https://deeplearning-ai.github.io/machine-learning-yearning-cn/)) + + + ## 常见的一些tips **1、使用Adam作为优化器。** Adam优化效果非常好。与传统的优化器（optimizer），如传统的梯度下降法，它应该是首选。Tensorflow实践笔记：当保存和回复模型参数时，设置AdamOptimizer之后，一定记得设置Saver，因为Adam有些state也需要恢复（即每个weight的学习率）。