{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Python for Signal Processing\n", "Danilo Greco, PhD - danilo.greco@uniparthenope.it - University of Naples Parthenope" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Lecture 5\n", "This lecture will provide an overview on Matplotlib and Seaborn graphical libraries:\n", "\n", "1. installation, \n", "2. documentation, \n", "3. main functions and applications,\n", "4. practical examples." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What is Matplotlib?\n", "[Matplotlib](https://matplotlib.org/) is a comprehensive library for creating static, animated, and interactive visualizations in Python.\n", "\n", "It simplifies creation and customization of data plots:\n", "\n", "* creation of high quality plots with few lines of code\n", "* interactive figures with pan, zoom, etc.\n", "* full control over styles and colors\n", "* easy export in multiple file formats\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What is Seaborn?\n", "[Seaborn](https://seaborn.pydata.org/) is a fundamental library for statistical data visualization in Python.\n", "\n", "It is based on matplotlib and provides a high-level interface for drawing attractive and informative statistical graphics:\n", "\n", "* operate on dataframes and arrays containing whole datasets,\n", "* internally perform the necessary semantic mapping and statistical aggregation to produce informative plots,\n", "* supports data exploration and interpretation\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Install\n", "It can be installed by executing the following command:\n", "\n", ">pip install matplotlib (or seaborn) \n", "\n", "or \n", "\n", ">python -m pip install matplotlib (or seaborn)\n", "\n", "#### NOTES: \n", "* when installing with python version 3.x, replace pip or python with pip3 or python3 in the commands above.\n", "* seaborn requires Python3.6 or greater and implicitly downloads and installs numpy, scipy, pandas and matplotlib if not already present\n", "\n", "# Documentation\n", "The official Matplotlib documentation is available on this [website](https://matplotlib.org/users/index.html) whilst for Seaborn you can access documentation at this [website](https://seaborn.pydata.org/api.html).\n", "\n", "Beginner's tutorials can be found for [matplotlib](https://matplotlib.org/tutorials/index.html) and [seaborn](https://seaborn.pydata.org/tutorial.html).\n", "\n", "There is also an interesting book explaining how to use pandas for data analysis:\n", ">Wes McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, O'Reilly Media.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Main functions and applications\n", "The first thing to do is inform the python interpreter that we are using the packages. In each section, the first command asks the python interpreter to import the library and use an alias for quicker references within our code.\n", "\n", "Again, numpy is imported for data generation.\n", "\n", "## Matplotlib" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\GRCDNL71D14D969B\\Anaconda3\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n", "C:\\Users\\GRCDNL71D14D969B\\Anaconda3\\lib\\site-packages\\numpy\\.libs\\libopenblas.FB5AE2TYXYH2IJRDKGDGQ3XBKLKTF43H.gfortran-win_amd64.dll\n", "C:\\Users\\GRCDNL71D14D969B\\Anaconda3\\lib\\site-packages\\numpy\\.libs\\libopenblas.XWYDX2IKJW2NMTWSFYNGFUWKQU3LYTCZ.gfortran-win_amd64.dll\n", " warnings.warn(\"loaded more than 1 DLL from .libs:\"\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A first method to create a plot in matplotlib is:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x = np.linspace(0,3,30)\n", "y = np.random.random(30)\n", "\n", "fig, ax = plt.subplots()\n", "ax.plot(x, y)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we can see the detailed structure of a Matplotlib figure with its attribute names that can be customized:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![anatomy](anatomy.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some notes on these objects:\n", "* **figure**: contains any number of axes and a canvas where object are plotted\n", "* **Axes**: its the region of figure that contains a data plot, therefore a figure can contain many axes. Each Axes has a title, its limits and can have labels for x and y respectively (or z for 3D plots).\n", "* **Axis**: linear graphical objects that contain ticks, located by the *Locator* object, and ticklabels customized via a *Formatter*. \n", "\n", "Be aware of the difference between *Axes* and *Axis*.\n", "\n", "All plotting functions expect numpy.array objects as input therefore it's always better to convert our data before plotting, such as in the case of Pandas DataFrames.\n", "\n", "A more complex plot example:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# OO-style: preferred for use in functions\n", "x = np.linspace(0, 2, 100)\n", "\n", "fig, ax = plt.subplots(figsize=(8,6)) # Create a figure and an axes.\n", "ax.plot(x, x, label='linear') # Plot some data on the axes.\n", "ax.plot(x, x**2, label='quadratic') # Other plots are added to \n", "ax.plot(x, x**3, label='cubic') # the same figure\n", "ax.set_xlabel('x') # Add an x-label to the axes.\n", "ax.set_ylabel('y = f(x)') # Add a y-label to the axes.\n", "ax.set_title(\"OO-style Plot\") # Add a title to the axes.\n", "ax.legend() # Add a legend." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "or alternatively:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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dBcAzzzzDq6++yh9//MG5557LlClT6Ny5M88884yn/bvvvkt8fDwbNmygTZs2XHbZZWWO98477xATE0NKSgrt27f37L/77rv517/+VTNvSkRERHyeqcF00aJFXHzxxZx//vmA+7L1J598wp9//lktrxdkt5HyxOBqOfbxXrcqnXbaaZ7vQ0JCCAsLIz09HYBly5YxZ84cQkNDyz1v8+bNtGnThs2bN/Poo4+yePFi9u/fj8vlAmDHjh1lgmnXrl2rtG4REREx35cbvqR9/fYkRiWaXUo5pgbTPn36MHXqVE9P3sqVK/n999+POj1SUVERRUVFnm2Hw1Gp17NYLFV6Sd0s/xyEZLFYPOHS5XJx4YUX8uyzz5Z7XmxsLAAXXngh8fHxvPXWW8TFxeFyuWjfvj3FxcVl2ms2ABERkbolPT+dp5c8TamrlFkXz6JlZEuzSyrD1JQ2ZswYsrOzSUxMxGaz4XQ6efrppz2Xqf9p/PjxjBs3roarrF06d+7MV199RUJCAn5+5f94Dxw4wNq1a3njjTc488wzAfj9999rukwRERExwfS10yl1ldI5prPXhVIweVT+Z599xkcffcT06dP566+/mDZtGi+88ALTpk2rsP2DDz5Idna257Fz584artj7jRgxgoyMDK666ir++OMPtmzZwk8//cQNN9yA0+mkXr16REdH8+abb7Jp0yZ+/fVXRo8ebXbZIiIiUs3yS/L5fMPnAAxrN8zkaipmao/pfffdxwMPPMCVV14JQIcOHdi+fTvjx49n2LDyJywgIECjw48jLi6OBQsWMGbMGAYPHkxRURHNmjXj3HPPxWq1YrFY+PTTT7nrrrto3749bdu25ZVXXqFfv35mly4iIiLVaOammeQU59AsvBn94vuZXU6FTA2m+fn55aaFstlsnvslfdXcuXM932/btq3MzyqaEzUrK6vMduvWrZkxY8ZRj3/OOeeQkpJy1OMmJCSc0tyrIiIi4l1KXaV8mPIhANclX4fV4p1T2ZsaTC+88EKefvppmjZtSrt27Vi+fDkvvfQSN9xwg5lliYiIiNQpP+/4md25u6kXUI8LW15odjlHZWowffXVV3n00Ue54447SE9PJy4ujltvvZXHHnvMzLJERERE6gzDMJi22j1+54rEKwjyCzK5oqMzNZiGhYUxadKko04PJSIiIiKn5q/0v1h9YDX+Vn+ubHul2eUck3feYCAiIiIiVeL9Ne8DcFGri4gOija3mONQMBURERGpo7Zmb2XeznkADE0eanI1x6dgKiIiIlJHfZjyIQYG/Zr0o0VEC7PLOS4FUxEREZE6KKMwg282fwN474T6/6RgKiIiIlIHfbbuM4qcRbSLbkeXhl3MLueEKJiKiIiI1DEFpQV8su4TwN1barFYTK7oxCiYisfYsWPp1KlTtR2/X79+3H333dV2fBEREXH7etPXZBZl0ji0MQObDTS7nBNm6jymUjfNnTuX/v37k5mZSWRkpGf/jBkzsNvt5hUmIiLiA0pdpUxb455Qf1i7YfhZa0/cqz2ViumKi4vx9/c/6edHRUVVYTUiIiJSkZ+3/8yu3F1EBkRySatLzC6nUnzrUr5hQHFezT8Mo1Jl5uXlcd111xEaGkpsbCwvvvhimcvgFouFWbNmlXlOZGQk77//vmd7zJgxtGnThuDgYFq0aMGjjz5KSUlJmedMmDCBhg0bEhYWxo033khhYWGZnw8fPpxLLrmE8ePHExcXR5s2bQD46KOP6Nq1K2FhYTRq1Iirr76a9PR0ALZt20b//v0BqFevHhaLheHDhwPlL+UXFRVx//33Ex8fT0BAAK1bt+add96p1LkSERGRwwzD4N3V7wJwdeLVXr38aEV8q8e0JB+eiav5131oD/iHnHDz++67jzlz5jBz5kwaNWrEQw89xLJlyyp1/2dYWBjvv/8+cXFx/P3339x8882EhYVx//33A/D555/z+OOP8/rrr3PmmWfy4Ycf8sorr9CiRdk5zn755RfCw8OZPXs2xsGAXVxczJNPPknbtm1JT0/nnnvuYfjw4Xz33XfEx8fz1Vdfcdlll7F+/XrCw8MJCqr4L8V1113HokWLeOWVV+jYsSNbt25l//79J/weRUREpKwlaUtYm7GWQFsgVyZ69/KjFfGtYFoL5Obm8s477/DBBx8wcKD7ZuVp06bRpEmTSh3nkUce8XyfkJDAvffey2effeYJppMmTeKGG27gpptuAuCpp57i559/LtdrGhISwttvv13mEv4NN9zg+b5Fixa88sornHHGGeTm5hIaGuq5ZB8TE1PmHtMjbdiwgc8//5zZs2dzzjnneI4lIiIiJ++91e8BcGnrS6kXWM/kairPt4KpPdjde2nG656gzZs3U1xcTM+ePT37oqKiaNu2baVe8ssvv2TSpEls2rSJ3NxcSktLCQ8P9/x87dq13HbbbWWe07NnT+bMmVNmX4cOHcrdV7p8+XLGjh3LihUryMjIwOVyAbBjxw6Sk5NPqL4VK1Zgs9k466yzKvW+REREpGLrMtaxcM9CrBYr1yVfZ3Y5J8W3gqnFUqlL6mYwTuB+VIvFUq7dkfePLl68mCuvvJJx48YxePBgIiIi+PTTT3nxxRcrXU9ISNnzlZeXx6BBgxg0aBAfffQRDRo0YMeOHQwePJji4uITPu7RLu+LiIjIyTnUWzq42WCahFXuSqu38K3BT7VAq1atsNvtLF682LMvMzOTDRs2eLYbNGhAamqqZ3vjxo3k5+d7thcsWECzZs14+OGH6dq1K61bt2b79u1lXicpKanMawDltiuybt069u/fz4QJEzjzzDNJTEz0DHw65FAPq9PpPOpxOnTogMvlYt68ecd9TRERETm23bm7+XHbjwBc3/56k6s5eQqmXiY0NJQbb7yR++67j19++YXVq1czfPhwrNbDf1Rnn302r732Gn/99Rd//vknt912W5n5QVu1asWOHTv49NNP2bx5M6+88gozZ84s8zqjRo3i3Xff5d1332XDhg08/vjjrFmz5rj1NW3aFH9/f1599VW2bNnCN998w5NPPlmmTbNmzbBYLPzvf/9j37595ObmljtOQkICw4YN44YbbmDWrFls3bqVuXPn8vnnn1f2lImIiPi8D1M+xGk46Rnbk6ToJLPLOWkKpl7o+eefp2/fvlx00UWcc8459OnThy5dDq9x++KLLxIfH0/fvn25+uqr+c9//kNw8OH7WC+++GLuueceRo4cSadOnVi4cCGPPvpomde44ooreOyxxxgzZgxdunRh+/bt3H777cetrUGDBrz//vt88cUXJCcnM2HCBF544YUybRo3bsy4ceN44IEHaNiwISNHjqzwWFOmTOHyyy/njjvuIDExkZtvvpm8vLzKnCoRERGfl1WYxYyNM4Da3VsKYDFO5KZGL+VwOIiIiCA7O7vMwB6AwsJCtm7dSvPmzQkMDDSpwqrTr18/OnXqxKRJk8wuxTR17c9URESkKkxZOYXJKyaTFJXEZxd8hsViMbukMo6V1/5JPaYiIiIitVR+ST7T104H3L2l3hZKK0vBVERERKSWmrFxBllFWcSHxTOw2UCzyzllvjVdVC02d+5cs0sQERERL1LiLGFayjTA3VvqZ639sU49piIiIiK10LdbvyUtL436QfW5qOVFZpdTJRRMRURERGoZl+Hi3dXvAnBd8nUE2AJMrqhqKJiKiIiI1DJzdsxha/ZWwvzD+Hebf5tdTpVRMBURERGpRQzD4O2/3wbgyrZXEuofanJFVUfBVERERKQW+SPtD1YfWE2ALYBrkq4xu5wqpWAqIiIiUosc6i39V+t/ER0UbXI1VUvBtI55//33iYyMPGabsWPH0qlTpxqpR0RERKrOmv1rWJy6GJvFxrB2w8wup8opmPqg//znP/zyyy9mlyEiIiKV9M7qdwA4r/l5NA5tbHI1Va/2z8QqlRYaGkpoaN25UVpERMQXbM3eys/bfwbghvY3mFxN9fCpHlPDMMgvya/xh2EYlarT5XLx7LPP0qpVKwICAmjatClPP/00c+fOxWKxkJWV5Wm7YsUKLBYL27ZtK3OMWbNm0aZNGwIDAxk4cCA7d+70/KyiS/nvvvsu7dq1IyAggNjYWEaOHFnZ0ysiIiLV6O2/38bAoF98P1rVa2V2OdXCp3pMC0oL6D69e42/7pKrlxBsDz7h9g8++CBvvfUWEydOpE+fPqSmprJu3boTfn5+fj5PP/0006ZNw9/fnzvuuIMrr7ySBQsWVNh+ypQpjB49mgkTJjBkyBCys7OP2lZERERq3u7c3Xy75VsAbulwi8nVVB+fCqa1QU5ODi+//DKvvfYaw4a5b2pu2bIlffr0Ye7cuSd0jJKSEl577TW6d3eH8GnTppGUlMQff/zBGWecUa79U089xb333suoUaM8+7p163bqb0ZERESqxHur38NpOOkR24MODTqYXU618algGuQXxJKrl5jyuidq7dq1FBUVMWDAgJN+PT8/P7p27erZTkxMJDIykrVr15YLpunp6ezZs+eUXk9ERESqz778fczcOBOAW06ru72l4GPB1GKxVOqSuhmCgo4eYq1W9y3BR96zWlJSUmFbi8VyQvuO9XoiIiJivmlrplHsKub0mNPp2rDr8Z9Qi/nU4KfaoHXr1gQFBVU4nVODBg0ASE1N9exbsWJFuXalpaX8+eefnu3169eTlZVFYmJiubZhYWEkJCRo+igREREvlFWYxecbPgfg5g43V9jJVJf4VI9pbRAYGMiYMWO4//778ff3p3fv3uzbt481a9Zw3XXXER8fz9ixY3nqqafYuHEjL774Yrlj2O127rzzTl555RXsdjsjR46kR48eFd5fCu5R+rfddhsxMTEMGTKEnJwcFixYwJ133lndb1dERESO4aO1H1FQWkBSVBJ9Gvcxu5xqp2DqhR599FH8/Px47LHH2LNnD7Gxsdx2223Y7XY++eQTbr/9djp27Ei3bt146qmn+Pe//13m+cHBwYwZM4arr76aXbt20adPH959992jvt6wYcMoLCxk4sSJ/Oc//6F+/fpcfvnl1f02RURE5Bhyi3OZvm46ADefVvd7SwEsRmUn2fQiDoeDiIgIsrOzCQ8PL/OzwsJCtm7dSvPmzQkMDDSpQqlK+jMVERFf8vbfb/PyXy/TIqIFMy+eidVSO+/APFZe+6fa+Q5FRERE6rCC0gI+TPkQgJs63FRrQ2ll+ca7FBEREalFZmycQUZhBo1DGzOk+RCzy6kxpgbThIQELBZLuceIESPMLEtERETENMXOYt5d7R4bckP7G/Cz+s6QIFPf6dKlS3E6nZ7t1atXM3DgwHKDeURERER8xaxNs0jPTycmOIZLWl1idjk1ytRgemhezkMmTJhAy5YtOeuss6rsNWrx2C75B/1ZiohIXVfiLOHtv98G3L2l/jZ/kyuqWV7TN1xcXMxHH33E6NGjjzodQlFREUVFRZ5th8Nx1OPZ7XYA8vPztbpRHZGfnw8c/rMVERGpa/675b+k5qVSP6g+l7W+zOxyapzXBNNZs2aRlZXF8OHDj9pm/PjxjBs37oSOZ7PZiIyMJD09HXDP7ekL83/VRYZhkJ+fT3p6OpGRkdhsNrNLEhERqXIlrhLeXPUmANe3u55AP9+bGtFr5jEdPHgw/v7+/Pe//z1qm4p6TOPj4486L5ZhGKSlpZGVlVUdJUsNi4yMpFGjRvoPhoiI1Elfb/qaRxY8QlRgFD9c9gNBfnXjim9l5jH1ih7T7du38/PPPzNjxoxjtgsICCAgIOCEj2uxWIiNjSUmJoaSkpJTLVNMZLfb1VMqIiJ1ltPl5K2/3wJgWLthdSaUVpZXBNP33nuPmJgYzj///Go5vs1mU6gRERERr/XDth/Y7thOZEAkV7a90uxyTGP6BPsul4v33nuPYcOG4efnFTlZREREpMY4XU7PvaXXJV9HsD3Y5IrMY3ow/fnnn9mxYwc33HCD2aWIiIiI1LjZO2azJXsLYf5hXJV4ldnlmMr0LspBgwZpfkoRERHxSS7D5ektHZo0lFD/UJMrMpfpPaYiIiIivmrOjjlszNxIqD2Uq5OuNrsc0ymYioiIiJjAZbiYsnIKAFclXkVEQITJFZlPwVRERETEBHN2zGF95npC7CFcl3yd2eV4BQVTERERkRrmMlxMXjkZgKsTryYyMNLcgryEgqmIiIhIDft1x69syNxAiD2EYe2GmV2O11AwFREREalBR95bek3SNbq39AgKpiIiIiI16FBvaag9VPeW/oOCqYiIiEgNOfLeUvWWlqdgKiIiIlJDftnxi2fe0qHJQ80ux+somIqIiIjUAN1benwKpiIiIiI14OftP6u39DgUTEVERESq2ZG9pdcmX6ve0qNQMBURERGpZj9t/4lNWZsItYdybdK1ZpfjtRRMRURERKqR0+Vkygp3b+nQ5KHqLT0GBVMRERGRavTd1u/Ykr2FcP9w3Vt6HAqmIiIiItWkxFXC1JVTAbi+/fWE+YeZXJF3UzAVERERqSb/3fxfduTsICowiqsTrza7HK+nYCoiIiJSDUqcJbyx8g0Abmh/A8H2YJMr8n4KpiIiIiLVYMbGGezJ20ODoAZc0fYKs8upFRRMRURERKpYYWkhb656E4CbOtxEoF+gyRXVDgqmIiIiIlXsiw1fkF6QTqOQRlze5nKzy6k1FExFREREqlB+ST5v//02ALeediv+Nn+TK6o9FExFREREqtCn6z8lozCDJqFNuLjVxWaXU6somIqIiIhUkdziXN5b/R4At3W8DbvVbnJFtYuCqYiIiEgV+SDlA7KKsmge0ZzzW5xvdjm1joKpiIiISBXILMxk2pppAIzsNBI/q5/JFdU+CqYiIiIiVeCdv98hvzSfpKgkzml2jtnl1EoKpiIiIiKnKC0vjU/WfQLAXZ3vwmpRxDoZOmsiIiIip+jNVW9S7Cqmc0xnesf1NrucWkvBVEREROQU7HDsYObGmYC7t9RisZhcUe2lYCoiIiJyCiavnEypUUqfxn3o0rCL2eXUagqmIiIiIidpQ+YGvtvyHQB3nn6nydXUfgqmIiIiIifpteWvYWAwqNkgkqOTzS6n1lMwFRERETkJq/atYs7OOVgtVkacPsLscuoEBVMRERGRSjIMg5f/ehmAi1peRIuIFiZXVDcomIqIiIhU0sI9C/kj7Q/sVju3d7zd7HLqDAVTERERkUpwGS4m/TUJgCsTryQuNM7cguoQBVMRERGRSvhh6w+sy1hHqD2UmzvcbHY5dYqCqYiIiMgJKnGW8OryVwEY3m449QLrmVxR3aJgKiIiInKCvtz4JbtydxEdGM3Q5KFml1PnKJiKiIiInID8knymrpwKwG0dbyPYHmxyRXWPgqmIiIjICfgg5QMyCjOID4vnsjaXmV1OnWR6MN29ezfXXnst0dHRBAcH06lTJ5YtW2Z2WSIiIiIeGYUZvL/mfcC99Kjdaje3oDrKz8wXz8zMpHfv3vTv35/vv/+emJgYNm/eTGRkpJlliYiIiJTx1qq3yCvJIykqicEJg80up84yNZg+++yzxMfH895773n2JSQkmFeQiIiIyD/syd3DZ+s/A+DuLndjtZh+wbnOMvXMfvPNN3Tt2pV///vfxMTEcPrpp/PWW28dtX1RUREOh6PMQ0RERKQ6vbr8VUpcJXSP7U6vuF5ml1OnmRpMt2zZwpQpU2jdujU//vgjt912G3fddRcffPBBhe3Hjx9PRESE5xEfH1/DFYuIiIgvWXtgLf/b8j8ARncZbXI1dZ/FMAzDrBf39/ena9euLFy40LPvrrvuYunSpSxatKhc+6KiIoqKijzbDoeD+Ph4srOzCQ8Pr5GaRURExDcYhsHNs29mSeoSzm9xPhPOnGB2SbWSw+EgIiLihPKaqT2msbGxJCcnl9mXlJTEjh07KmwfEBBAeHh4mYeIiIhIdViwZwFLUpdgt9q58/Q7zS7HJ5gaTHv37s369evL7NuwYQPNmjUzqSIRERERcLqcvLTsJQCuTryaxqGNTa7IN5gaTO+55x4WL17MM888w6ZNm5g+fTpvvvkmI0aMMLMsERER8XH/3fJfNmZuJMw/jJtPu9nscnyGqcG0W7duzJw5k08++YT27dvz5JNPMmnSJK655hozyxIREREfVlBawKvLXwXglg63EBEQYXJFvsPUeUwBLrjgAi644AKzyxAREREB4OO1H5Oen05sSCxXJV1ldjk+RTPEioiIiByUUZjB23+/DbiXHg2wBZhckW9RMBURERE56M1Vb5JXkkdiVCLntzjf7HJ8joKpiIiICLDdsZ3P1rmXHh3dZbSWHjWBzriIiIgIMHHZREqNUno37k3PuJ5ml+OTFExFRETE5/2Z9ie/7PgFq8XKf7r8x+xyfJaCqYiIiPg0l+Hi+T+fB+Cy1pfRql4rkyvyXQqmIiIi4tO+3fItKQdSCLGHcEenO8wux6cpmIqIiIjPKiwt5JXlrwBwU4ebqB9U3+SKfJuCqYiIiPisD1M+JC0vjdiQWK5NutbscnyegqmIiIj4pP0F+z2T6Y/qPIpAv0CTKxIFUxEREfFJr694nfzSfNpHt2dI8yFmlyMomIqIiIgP2pi5kRkbZwBwX7f7NJm+l9CfgoiIiPgUwzB48c8XcRkuBjYbSOeGnc0uSQ5SMBURERGf8tvu31iwZwF+Vj/u7ny32eXIERRMRURExGeUuEp4fql7Mv2hSUNpGt7U5IrkSAqmIiIi4jM+Xfcp2xzbiAqM4pbTbjG7HPkHBVMRERHxCZmFmUxZOQWAO0+/k1D/UJMrkn9SMBURERGf8PqK18kpzqFtvbZc2upSs8uRCiiYioiISJ23MXMjX2z4AoAxZ4zBZrWZXJFURMFURERE6jTDMHhu6XO4DBfnND2Hbo26mV2SHIWCqYiIiNRp83bNY3HqYuxWO6O7jja7HDkGBVMRERGps0qcJbzw5wsADE0eSnxYvMkVybEomIqIiEidNX3ddLY7thMdGM3NHW42uxw5DgVTERERqZP2F+z3TA81qvMoTQ9VCyiYioiISJ00adkk8kryaBfdjotbXWx2OXICFExFRESkzlm1bxVfb/4agAe7P4jVoshTG+hPSUREROoUl+Fi/JLxAFzU8iI6NuhockVyohRMRUREpE75etPXrD6wmhB7CHd3vtvscqQSFExFRESkzsgpzmHSX5MAuO2022gQ3MDcgqRSFExFRESkzpi6cioZhRkkhCdwTdI1ZpcjlaRgKiIiInXClqwtTF87HYAxZ4zBbrObXJFUloKpiIiI1HqGYfDs0mcpNUrp16QffRr3MbskOQkKpiIiIlLr/brjVxbuWYjdaue+bveZXY6cJAVTERERqdUKSgt4dumzAAxvN5ym4U1NrkhOloKpiIiI1GpvrXqL1LxUYkNiufm0m80uR06BgqmIiIjUWtsd23l/zfsAjOk2hiC/IHMLklOiYCoiIiK1kmEYjF8ynhJXCb0b9+bspmebXZKcIgVTERERqZV+3fErC/YswG618+AZD2KxWMwuSU6RgqmIiIjUOv8c8NQsvJnJFUlVUDAVERGRWkcDnuomBVMRERGpVTTgqe4yNZiOHTsWi8VS5tGoUSMzSxIREREvpgFPdZuf2QW0a9eOn3/+2bNts9lMrEZERES82U/bf9KApzrM9GDq5+enXlIRERE5rtziXJ774zkAbupwkwY81UGm32O6ceNG4uLiaN68OVdeeSVbtmw5atuioiIcDkeZh4iIiPiG11e8TnpBOk3DmnJjhxvNLkeqganBtHv37nzwwQf8+OOPvPXWW6SlpdGrVy8OHDhQYfvx48cTERHhecTHx9dwxSIiImKGtQfWMn3ddAAe7v4wAbYAkyuS6mAxDMMwu4hD8vLyaNmyJffffz+jR48u9/OioiKKioo82w6Hg/j4eLKzswkPD6/JUkVERKSGuAwXQ78byqr9qxicMJgXznrB7JKkEhwOBxERESeU10y/x/RIISEhdOjQgY0bN1b484CAAAIC9D8kERERX/Llhi9ZtX8VIfYQ7u92v9nlSDUy/R7TIxUVFbF27VpiY2PNLkVERES8wIGCA0z6axIAd55+JzHBMeYWJNXK1GD6n//8h3nz5rF161aWLFnC5ZdfjsPhYNiwYWaWJSIiIl7ipWUvkVOcQ1JUEle0vcLscqSamXopf9euXVx11VXs37+fBg0a0KNHDxYvXkyzZpr+QURExNctTVvKN5u/wYKFR3s8ip/Vq+5AlGpg6p/wp59+aubLi4iIiJcqdhbzxKInAPh3m3/ToUEHkyuSmuBV95iKiIiIALz999tsc2yjflB9RnUZZXY5UkMUTEVERMSrbMnewtt/vw3AmDPGEO6vKSF9hYKpiIiIeA2X4eKJRU9Q4irhzMZnMrjZYLNLkhqkYCoiIiJeY9amWSzbu4wgvyAe7vEwFovF7JKkBimYioiIiFc4UHCAF/98EYARnUbQOLSxyRVJTVMwFREREa/w3NLncBQ7SIpK4pqka8wuR0ygYCoiIiKmW7B7Ad9t/Q6rxcrjPR/XnKU+SsFURERETFVQWsCTi58E4OrEq2lXv53JFYlZFExFRETEVJNXTGZ37m4aBjdk5OkjzS5HTKRgKiIiIqZZs38NH6R8AMCjPR4lxB5ickViJgVTERERMUWJq4THFj6Gy3AxJGEIZ8WfZXZJYjIFUxERETHF+6vfZ0PmBiICIhhzxhizyxEvoGAqIiIiNW5r9lamrpwKwJhuY4gOija5IvEGCqYiIiJSo1yGi7ELx1LsKqZ3XG8uaHGB2SWJl1AwFRERkRr1xfov+Cv9L4L8gnis52NadlQ8FExFRESkxqTlpTHxr4kAjOo8irjQOJMrEm+iYCoiIiI1wjAMnlr8FHkleZzW4DSubHul2SWJl1EwFRERkRrxvy3/Y96uefhZ/RjXcxw2q83sksTLKJiKiIhItdtfsJ8Jf0wA4LbTbqNVvVYmVyTeSMFUREREqtWhS/iOYgdJUUnc0OEGs0sSL6VgKiIiItXqx20/8suOX/Cz+PFk7yexW+1mlyReSsFUREREqk1GYQbPLHkGgJtOu4m2UW1Nrki8mV9lGhuGwbx58/jtt9/Ytm0b+fn5NGjQgNNPP51zzjmH+Pj46qpTREREaqFnljxDZlEmreu15pYOt5hdjni5E+oxLSgo4JlnniE+Pp4hQ4bw7bffkpWVhc1mY9OmTTz++OM0b96c8847j8WLF1d3zSIiIlIL/Lz9Z37c9iM2i819Cd+mS/hybCfUY9qmTRu6d+/O1KlTGTx4MHZ7+V+s7du3M336dK644goeeeQRbr755iovVkRERGqHrMIsnlz8JADXt7+edtHtTK5IagOLYRjG8RqtXr2a9u3bn9ABi4uL2b59O61btz7l4o7H4XAQERFBdnY24eHh1f56IiIicmLGzB/Dd1u/o0VECz6/8HMCbAFmlyQmqUxeO6FL+ScaSgH8/f1rJJSKiIiId5q9fTbfbf0Oq8XKk72fVCiVE1bpUfmPPvooTqez3P7s7GyuuuqqKilKREREaqcDBQd4cpH7Ev6N7W/ktAanmVyR1CaVDqYffPABvXv3ZvPmzZ59c+fOpUOHDmzbtq0qaxMREZFa5NBE+odG4d/W8TazS5JaptLBdNWqVSQkJNCpUyfeeust7rvvPgYNGsTw4cP5/fffq6NGERERqQW+2/odP+/4GT+LH8/0eQZ/m7/ZJUktU6l5TAEiIiL49NNPefjhh7n11lvx8/Pj+++/Z8CAAdVRn4iIiNQC6fnpnon0b+14K4lRiSZXJLXRSa389OqrrzJx4kSuuuoqWrRowV133cXKlSurujYRERGpBQzDYNyicTiKHSRHJ3NjhxvNLklqqUoH0yFDhjBu3Dg++OADPv74Y5YvX07fvn3p0aMHzz33XHXUKCIiIl5s1qZZzN81H7vVztO9n8Zu1UT6cnIqHUxLS0tZtWoVl19+OQBBQUFMmTKFL7/8kokTJ1Z5gSIiIuK9UnNTeW6pu2Nq5OkjaVWvlckVSW1W6XtMZ8+eXeH+888/n7///vuUCxIREZHawWW4eHjBw+SW5NKxQUeGJQ8zuySp5U7qHtOjqV+/PuC+10RERETqtg9TPmRp2lKC/IJ4ps8z2Kw2s0uSWu6EgmlSUhLTp0+nuLj4mO02btzI7bffzrPPPlslxYmIiIh32pi5kVf+egWA+7rdR9PwpiZXJHXBCV3Kf/311xkzZgwjRoxg0KBBdO3albi4OAIDA8nMzCQlJYXff/+dlJQURo4cyR133FHddYuIiIhJSpwlPPjbgxS7iunbpC+Xt77c7JKkjrAYlbjuvnDhQj777DPmz5/Ptm3bKCgooH79+px++ukMHjyYa6+9lsjIyGostyyHw0FERATZ2dmEh4fX2OuKiIj4spf/epm3/36byIBIZl48k/pB9c0uSbxYZfJapQY/9erVi169ep1ScSIiIlJ7LU9fzrur3wXg8Z6PK5RKlTqhe0yjoqLYv38/ADfccAM5OTnVWpSIiIh4n7ySPB767SFchouLWl7EOc3OMbskqWNOKJgWFxfjcDgAmDZtGoWFhdValIiIiHif55c+z67cXcSFxPHAGQ+YXY7UQSd0Kb9nz55ccskldOnSBcMwuOuuuwgKCqqw7bvvvntShYwfP56HHnqIUaNGMWnSpJM6hoiIiFSPX7b/wlcbv8KChaf6PEWYf5jZJUkddELB9KOPPmLixIls3rwZi8VCdnZ2lfaaLl26lDfffJPTTjutyo4pIiIiVSM9P53HFz0OwPXtr6dbo24mVyR11QkF04YNGzJhwgQAmjdvzocffkh0dHSVFJCbm8s111zDW2+9xVNPPVUlxxQREZGq4TJcPPz7w2QXZZMUlcTITiPNLklO1bYFkLcP2l1idiXlVHrlp61bt1ZZKAUYMWIE559/Puecc/wbqIuKinA4HGUeIiIiUn0+TPmQxamLCbQF8mzfZ7Hb7GaXJCfL5YR5z8O0C2DWHbB/k9kVlVOp6aKq2qeffspff/3F0qVLT6j9+PHjGTduXDVXJSIiIgDrMtYx6a9JANx/xv00j2hubkFy8nLSYMbNsHW+ezv5YghrZG5NFah0j2lV2blzJ6NGjeKjjz4iMDDwhJ7z4IMPkp2d7Xns3LmzmqsUERHxTQWlBYyZP4ZSVyn94/trdafabPOvMLWPO5TaQ+CSqXDpFAgINbuyckzrMV22bBnp6el06dLFs8/pdDJ//nxee+01ioqKsNlsZZ4TEBBAQEBATZcqIiLic17880W2ZG+hflB9xvUah8ViMbskqSxnKcx9Bn57CTCgYXu4/D1o0Mbsyo7KtGA6YMAA/v777zL7rr/+ehITExkzZky5UCoiIiI1Y97OeXy2/jMAnu79NPUC65lckVRa1k746ibYudi93fUGGPwM2Cue7tNbmBZMw8LCaN++fZl9ISEhREdHl9svIiIiNSM9P51HFjwCwNDkofRqrKXIa521/4WvR0BhNgSEw0WvQLtLza7qhJzUPaYdOnTw3N955PciIiJSezldTh787UGyirJIikri7s53m12SVEZJIXx7L3x2rTuUNu4Ct/1Wa0IpnGSP6bZt2ygpKSn3/amaO3dulRxHREREKu+d1e/wR9ofBPkF8Vzf5/C3+ZtdkpyofRvgy+th72r3du9RcPajUMum9zJ1uigRERHxDivSVzB5xWQAHu7+MAkRCeYWJCfGMGD5R/D9/VCSD8H14V9vQKvjzw/vjRRMRUREfFx2UTb3z78fp+Hk/Bbnc1HLi8wuSU5EYTb8925YM8O93fws+NebXjk/6YlSMBUREfFhhmEwbtE4UvNSiQ+L59Eej2pqqNpg51L46gbI2gFWPzj7Eeg1CqymTVFfJRRMRUREfNiXG79k9vbZ+Fn9eL7v84TYQ8wuSY7F5YTfJ8KcZ8BwQmQzuPxdaNLV7MqqhIKpiIiIj9qYuZFn/3gWgLs73027+u1MrkiOybEHZt56eFnR9pfDBS9BYIS5dVUhBVMREREflF+Sz73z7qXIWUTvxr0ZmjzU7JLkWNb+D74ZCQWZ7mVFz38BOl4Fdey2i5MKps2aNcNut5f7XkRERGqHp5c8zdbsrcQExfBMn2ewWmr3vYl1VnE+/PgQLHvPvR3bES57F+q3MreuanJSwXT16tUVfi8iIiLeb9amWXyz+RusFivP9n2WqMAos0uSiqT9DV/eCPvXu7d7j4L+j4Bf3Z1fVpfyRUREfMimzE08vfhpAEZ2GknXRnVj0Eyd4nLBkqnw8+PgLIbQRnDpVGjZ3+zKqp2CqYiIiI84dF9pobOQXnG9uLHDjWaXJP+UkwazbofNv7q3254HF70GIdHm1lVDFExFRER8xNNLnmZL9hYaBDXQfaXeaN238PVIKMgAv0AY9BR0u6nODXA6FgVTERERH/DP+0qjg3yjB65WKM6DHx8+PMCpUQe47B1o0NbcukygYCoiIlLHbcjc4Lmv9I6Od9CtUTeTKxKPPSvgq5vgwEb3dq874exHwS/A1LLMUuk+/OHDhzN//vzqqEVERESqWG5xLqPnjvbcV3pTh5vMLknAvYLTby/B2wPcoTQsFobOcl++99FQCicRTHNychg0aBCtW7fmmWeeYffu3dVRl4iIiJwiwzB4bOFjbHdsp1FIIyacOQGb1WZ2WZK5Hd6/AH4ZB65SSLoQbl/oE6Puj6fSwfSrr75i9+7djBw5ki+++IKEhASGDBnCl19+SUlJSXXUKCIiIifhw5QPmb19Nn5WP14860XqBdYzuyTfZhiw8jOY2gd2LAT/ULj4dfi/DyFYc8nCSQRTgOjoaEaNGsXy5cv5448/aNWqFUOHDiUuLo577rmHjRs3VnWdIiIiUgnL05czcdlEAO7reh+nNTjN5Ip8XEEmfHUjzLwFihzQ5Ay47Tc4/VqfGnV/PKc0T0Rqaio//fQTP/30EzabjfPOO481a9aQnJzMxIkTq6pGERERqYQDBQf4z9z/UGqUMiRhCFclXmV2Sb5t8xyY3AtWfwUWG/R/GK7/HqJamF2Z16n0qPySkhK++eYb3nvvPX766SdOO+007rnnHq655hrCwsIA+PTTT7n99tu55557qrxgEREROTqny8mY38aQXpBOi4gWjO01Fot65MxRUgA/j4MlU9zbUS3hX29CE622dTSVDqaxsbG4XC6uuuoq/vjjDzp16lSuzeDBg4mMjKyC8kRERKQyXl/xOktSlxDkF8TEfhMJtgebXZJv2rMCZtxyeJ37rjfCoCfBP8TUsrxdpYPpxIkT+fe//01gYOBR29SrV4+tW7eeUmEiIiJSOb/s+IW3/n4LgLE9x9IiUpeKa5yzFBZMgrnj3SPuQxu6Bzi1Hmh2ZbVCpYPp0KFDq6MOEREROQVbs7fy8O8PA3Bt0rWc1+I8kyvyQQc2w8zbYNcf7u2kC+GCl31mnfuqoJWfREREarm8kjzunnM3eSV5dGnYhdFdR5tdkm8xDPjzHfjpUSjJh4BwGPIsdLxKI+4rScFURESkFjMMg0d+f4Qt2VuICYrhhbNewG61m12W73Dsga9HwuZf3NsJZ8IlkyGyqbl11VIKpiIiIrXYu6vf5ecdP+Nn9eOl/i9RP6i+2SX5BsNwT//07b1QmAV+gXDOWDjjVrCe0mycPk3BVEREpJZauGchryx/BYAHz3iQjg06mlyRj8g7AN+OhpRZ7u3YTu5poBq0NbOqOkHBVEREpBbanbubMfPH4DJc/Kv1v/h3m3+bXZJvWP89fHMX5KWD1Q/63gdn3gs23T5RFRRMRUREapn8knxG/TqKrKIs2kW346HuD2kS/epWmA0/PAgrPnZvN0iES6dC3Onm1lXHKJiKiIjUIoZh8OiCR1mfuZ6owCgm9Z9EgC3A7LLqts1z3AOcHLsAC/S6072sqP3oc7rLyVEwFRERqUXe/vttftr+E35WPyb2m0ijkEZml1R3FeXC7Efhz3fd2/US4JKp0KynqWXVZQqmIiIitcS8nfN4dfmrADzU/SE6N+xsckV12Nbf4Os7IGuHe7vbze5R9wGhppZV1ymYioiI1AJbsrYw5rcxGBhc0fYKDXaqLsV58PM4+OMN93ZEU7j4NWhxlrl1+QgFUxERES/nKHZw15y7PCs7jek2xuyS6qbtC+HrEZCxxb3dZTgMfBICw00ty5comIqIiHgxp8vJ/fPvZ7tjO7Ehsbx41ovYNTVR1SrOh1+egCVTAQPC4uDiV6HVOWZX5nMUTEVERLzYi8teZMHuBQTaAnm5/8tEB0WbXVLdsn0hzLoDMre6t0+/FgY/A4ER5tbloxRMRUREvNSMjTP4MOVDAJ7s8yRJ0UkmV1SH/LOXNLwxXPgKtFYvqZkUTEVERLzQ0rSlPLn4SQDu6HgH5yaca3JFdci2393zknp6SYfC4KfVS+oFFExFRES8zM6cnYyeO5pSVynnJpzLbR1vM7ukuqEoF34eC0vfcm+rl9TrKJiKiIh4kZziHO785U6yirJoH92eJ3s/qeVGq8LmOe417rMPzkuqEfdeScFURETESxwagb85ezMxwTG8fPbLBPpp2ctTUpgNPz0Cf33g3o5sChe9Ci36mVqWVEzBVERExEu88OcL/L77dwJtgbxy9ivEBMeYXVLttv57+N89kJPq3j7jFhjwuFZv8mJWM198ypQpnHbaaYSHhxMeHk7Pnj35/vvvzSxJRETEFJ+s+4SP1n4EwNN9nqZddDuTK6rF8vbDlzfCJ1e6Q2lUCxj+HZz3vEKplzO1x7RJkyZMmDCBVq1aATBt2jQuvvhili9fTrt2+gspIiK+Yf6u+Uz4YwIAozqPYlDCIJMrqqUMA1Z/Bd/fD/kHwGKFniOh/0NgDzK7OjkBFsMwDLOLOFJUVBTPP/88N95443HbOhwOIiIiyM7OJjxcNy+LiEjtsz5jPdd9fx35pflc2upSxvUap8FOJyN7N3x7L2w4eOU1pp17jfvGnc2tSyqV17zmHlOn08kXX3xBXl4ePXv2rLBNUVERRUVFnm2Hw1FT5YmIiFS59Px0RvwygvzSfLo36s6jPR9VKK0slwuWvQuzx0JxDljt0Pc+6HMP+PmbXZ1UkunB9O+//6Znz54UFhYSGhrKzJkzSU5OrrDt+PHjGTduXA1XKCIiUvXyS/IZ+ctI9ubvpUVEC17q/xJ2q93ssmqX/RvdU0DtWOjebtzVPeK+YcU5Qryf6Zfyi4uL2bFjB1lZWXz11Ve8/fbbzJs3r8JwWlGPaXx8vC7li4hIreJ0Obl7zt3M3TWXqMAoPj7vY5qENTG7rNrDWQILXoZ5z4GzCOwhMOAxOONmsNrMrk7+oTKX8k0Ppv90zjnn0LJlS954443jttU9piIiUtsYhsGEPyYwfd10AmwBvDP4HTo26Gh2WbXHrmXw37tg72r3dqtz4IKJ7vlJxSvVyntMDzEMo0yvqIiISF0ybc00pq+bDrinhVIoPUFFOfDr07BkKmBAUBScOwFO+z/Qfbl1hqnB9KGHHmLIkCHEx8eTk5PDp59+yty5c/nhhx/MLEtERKRafL/1e15c9iIA93W9j8EJg02uqJbY8CP8bzQ4drm3T7sCBj8DIfXNrUuqnKnBdO/evQwdOpTU1FQiIiI47bTT+OGHHxg4cKCZZYmIiFS5pWlLefj3hwG4Nularmt3nckV1QI5e+GHB2DNDPd2ZFP3ZftW55hbl1QbU4PpO++8Y+bLi4iI1IhNmZsYNWcUJa4SBjYbyH3d7jO7JO/mcsFf0+Dnx91r3Vus0HME9HsQ/EPMrk6qkdfdYyoiIlKXpOenc/svt5NTnMPpMafzTJ9nsFpMXRHcu6Wvg//dDTsWubdjO8KFL0Pc6aaWJTVDwVRERKSa5BbnMuKXEaTlpZEQnsAr/V8h0C/Q7LK8U0kh/PYC/D4JXCXuKaDOfhjOuBVsiiu+Qn/SIiIi1aDYWcyoOaNYl7GO6MBoppwzhcjASLPL8k5b5roHN2Vsdm+3ORfOewEi400tS2qegqmIiEgVc7qcPPDbA/yR9gch9hCmnDNFE+hXJHcf/PgQ/P25ezu0EQx5FpIv1hRQPkrBVEREpAoZhsH4P8Yze/ts7FY7L/d/maToJLPL8i7/HNyExb1q09mPQGCE2dWJiRRMRUREqtDUVVP5bP1nWLAw/szxdI/tbnZJ3mVvintw084l7u1Gp8GFk6BxFzOrEi+hYCoiIlJFPl//OZNXTAbgoe4PaQL9IxXlwrwJsGgyGM6Dg5segTNu0eAm8dBvgoiISBX4efvPPL3kaQBuPe1Wrky80uSKvIRhwLr/wfcPHF65KfEC972kEbrvVspSMBURETlFi1MXc//8+3EZLi5vczkjOo0wuyTvkLkNvrsfNv7o3o5s6h5t30Y9yVIxBVMREZFTsHLfSu769S7Pqk6PdH8Ei6+PKC8tgoWvwvwXoLQArHbofRec+R/wDza7OvFiCqYiIiInaUPmBu74+Q4KSgvoFdeLCWdOwGa1mV2WuTbPge/+Awc2ubcTzoTzX4QGbc2tS2oFBVMREZGTsNOxk1tn34qj2EHHBh2Z2G8i/jZ/s8syj2OPe07SNTPd2yExMPhp6PBvzUkqJ0zBVEREpJL25u3l5tk3s79gP23qteH1Aa8TbPfRS9TOElgyFeZOgOJcsFjdI+37P6Q5SaXSFExFREQqIaswi1tn38ru3N00DWvKGwPfICLARwPY1t/cl+33rXNvNznDfdk+9jRz65JaS8FURETkBDmKHdwy+xY2Z28mJjiGNwe9Sf2g+maXVfMce+CnR2D1V+7t4Gg4Zyx0uhasVlNLk9pNwVREROQE5Jfkc8fPd7A2Yy31Aurx1sC3aBza2OyyapazBBZPgXnPHr5s3/UG6P8wBEeZXZ3UAQqmIiIix1FQWsDIX0eyct9KwvzDeGvQW7SIbGF2WTVr8xz4fgzsX+/ebnIGnP8CxHY0ty6pUxRMRUREjqHYWcw9c+5hadpSQuwhvDnwTdpG+dDUR1k73KPt1/7XvR1cHwY+AR2v0mV7qXIKpiIiIkdR4irhP/P+w4I9CwjyC2LygMm0r9/e7LJqRkkBLHgZfp8IpYVgscEZN0O/ByEo0uzqpI5SMBUREamA0+Xkod8eYs7OOfhb/Xnl7Ffo3LCz2WVVv0Nr2//4kLu3FNyT5A95Fhq2M7c2qfMUTEVERP7B6XLy8IKH+WHbD/hZ/ZjYfyI9YnuYXVb1S18HP4yBLXPd2+GNYdBT0O5STZIvNULBVERE5AhOl5NHFzzKt1u+xc/ixwt9X6Bvk75ml1W9CrLcE+T/8SYYTrAFQK+RcOa94B9idnXiQxRMRUREDnK6nDy28DH+u+W/2Cw2nj/reQY0G2B2WdXH5YTlH8IvT0D+Afe+xAvcvaRRzc2tTXySgqmIiAjgMlyMXTSWbzZ/g81i47m+z3FOs3PMLqv6bPsdfngA0v52bzdIhHMnQMv+5tYlPk3BVEREfJ7LcDFu0ThmbZqFzWJjQt8JDEoYZHZZ1SNzO8x+FFK+dm8HRsBZD7hH3Nvs5tYmPk/BVEREfJrLcPHEoieYsXEGVouV8WeO59yEc80uq+oV5bqnflr4KjiL3Ks2dbnevWpTSLTZ1YkACqYiIuLDnC4njy98nK83f43VYuWZPs8wpPkQs8uqWi4XrPoUfh4HuWnufc37wuDx0MhH5mSVWkPBVEREfFKpq5RHFjzCt1u+xWax8XSfpzm/xflml1W1ti9y30eausK9XS8BBj0Niedr+ifxSgqmIiLic0pcJTz020PueUotfkzoO4HBCYPNLqvqZG6D2Y8dvo/UPwzOug+63wZ+AaaWJnIsCqYiIuJTSpwljPltDLO3z8bP6scLZ73AgKZ1ZEqowmz47SVYPBmcxe77SDsPc99HGtrA7OpEjkvBVEREfEaxs5h7593L3J1zsVvtTOw3kbPizzK7rFPnLIW/3oc54yF/v3tfi34w+BktIyq1ioKpiIj4hILSAu6Zew8Ldi8gwBbAy/1fpnfj3maXdWoMAzbOhp8egf3r3fvqt4GBT0KbwbqPVGodBVMREanzcotzGfnrSJbtXUaQXxCvnP0KPWJ7mF3WqUn7G356FLbMcW8HR0O/B6HLcM1HKrWWgqmIiNRp2UXZ3Db7NlYfWE2oPZTJ50zm9JjTzS7r5Dn2wK9Pw4qPAQNs/u5BTWfeC0GRZlcnckoUTEVEpM7aX7CfW2bfwsbMjUQGRPLGwDdIjk42u6yTU5QDC16Gha9BaYF7X7t/wYDHtK691BkKpiIiUiel5qZy8+yb2e7YToOgBrw58E1a1WtldlmV5yyBvz6AueMhb597X9OeMOgpaNLV3NpEqpiCqYiI1DnbHdu5+aebSc1LJS4kjrcHvU18eLzZZVWOYcC6/7lXbDqw0b0vqiUMfEIT5EudpWAqIiJ1SsqBFG7/+XYyCjNICE/grUFv0SikkdllVc6OJTD7Udi5xL0dHA1nPQBdr9fAJqnTFExFRKTOWJq2lDt/vZO8kjySopKYcs4UooOizS7rxO3fCD+PdfeUAvgFQa+R0OsuCAw3tTSRmqBgKiIidcIvO37h/nn3U+wqplujbrzS/xVC/UPNLuvEOFJh3gT460MwnO4Vm06/Fvo9BOGxZlcnUmMUTEVEpNabuXEmYxeNxWW4ODv+bJ476zkCbLVgTfjCbPdI+0WTD4+0bzMEzhkLMYmmliZiBgVTERGptQzD4L017zFx2UQALm11KY/1fAw/q5f/81ZSCH++A/Ofh4JM97747nDOOGjW09zaRExkNfPFx48fT7du3QgLCyMmJoZLLrmE9evXm1mSiIjUEk6Xk2eXPusJpde3v55xvcZ5dyh1lsLyj+DVLvDjQ+5QWr8tXDkdbvhRoVR8nql/e+fNm8eIESPo1q0bpaWlPPzwwwwaNIiUlBRCQkLMLE1ERLxYkbOIB397kNnbZwPwn67/YVi7YSZXdQyHpn765cnDa9qHxUH/B6Hj1WDz4jAtUoMshmEYZhdxyL59+4iJiWHevHn07dv3uO0dDgcRERFkZ2cTHq7RiiIiviC7KJtRc0axbO8y/Kx+PNPnGYY0H2J2WUe3db57pP3uZe7toHru5UO73QT2IFNLE9+TlV9MSqqDvY5CLj29SY28ZmXymlf9Fy07OxuAqKioCn9eVFREUVGRZ9vhcNRIXSIi4h3S8tK4/efb2ZS1iVB7KJP6T6J7bHezy6rYrmXw6xOwZa572x4MPUdArzshMMLU0qTuc7kMdmbmszbVQcoeBympDtam5rA7yz3Izt9m5YLT4rDbTL2rsxyvCaaGYTB69Gj69OlD+/btK2wzfvx4xo0bV8OViYiIN9iYuZHbfr6N9Px0YoJimHzOZNpGtTW7rPL2roFfn4b137q3rXboMhz63gdhDU0tTeqmwhInG/bmlAuhuUWlFbaPjwoiOTacnMJSokL8a7jaY/OaS/kjRozg22+/5ffff6dJk4q7livqMY2Pj9elfBGROm7hnoXcO/decktyaRHRgqnnTCU21Mvm98zYAnPGw99fAIZ7LtKOV8FZY6BeM7Orkzpif24RKXsc7hB6MIhu2Z+H01U+zvnbrLRuGEq7uHCSYsNJjg0nMTaciKCaXT2s1l3Kv/POO/nmm2+YP3/+UUMpQEBAAAEBtWBeOhERqTIzNs7gyUVPUmqU0qVhF17u/zIRAV50KTxrp3vap+UfuSfHB0i+GPo/DA28sEdXagWny2DbgTxPD+ihMJqeU1Rh+6gQf5Jjw0mKDSM5Lpzk2AhaNAjxukv1x2NqMDUMgzvvvJOZM2cyd+5cmjdvbmY5IiLiRVyGi1eXv8rbf78NwAUtLmBcr3H427zk0mNOGvz2Eix7D5zF7n2tzoGzH4G4082tTWqVvKJS1qXlHLwE7w6h69NyKChxlmtrsUBCdAjJseEHA6j7a0xYABaLxYTqq5apwXTEiBFMnz6dr7/+mrCwMNLS0gCIiIggKEgjFUVEfFWRs4hHfn+EH7b9AMBtHW/jjo53eMc/vHkHYMEk+OOtw6s1JZzpDqRNe5hamng3wzDY6ygiJTWbtak5nt7QbQfyqOjGyiC7jbaN3D2gnkvxjcIICfCKC97VwtR7TI/2AfPee+8xfPjw4z5f00WJiNQ9mYWZjJoziuXpy/Gz+jG251gubnWx2WVBfgYseg2WvAHFue59TbrB2Y9Ci7PMrU28TonTxeZ9uZ4e0LWp7h7RjLziCtvHhAV4ekCTDvaCJkSHYLN6wX/GTlGtucfUS8ZdiYiIl9iYuZE7f72T3bm7CfMPY1K/SZwRe4a5RRVkweLJ7vXsi3Pc+2I7Qv9HoPVA97VV8WmOwhLWHnkvaJqDDWm5FDtd5drarBZaNgjx9IAmHXw0CNMYGvCSwU8iIiLzd83n/vn3k1eSR3xYPK+d/RotIluYV1ChA5ZMhYWvQZF7nm0atof+D0Hb8xRIfZBhGOzKLChzL+jaNAc7MwoqbB8a4OcejHSwBzQpNpw2DcMItNtquPLaQ8FURERMZRgGH6Z8yIvLXsRluOjasCsT+00kMjDSnIIKHe7L9Yteg8Is974GSe7lQxMvBGvtGuUsJ6eo1MnGvbmeXtBDYTSnsOK5QRtHBh3sBT18T2h8vWCsdeBSfE1SMBUREdOUOEt4aslTzNg4A4DLWl/Gw90fxm6r2XkWgYoDaf22cNb90O5fCqR1WEZe8RH3grpD6Kb0XEormBvUbrPQOibMcx/ooR7RyGAvmS2illMwFRERU2QUZjB67miW7V2G1WLlP13/w7VJ19b8yPvCbFjy5lEC6aVg1WXXusLlMtiekV9ugvo0R2GF7SOC7GUuwyfHhtMqJhR/P/0npboomIqISI1LOZDC3XPuJjUvlRB7CM/3fZ4zm5xZs0UUZLp7SBdPdodTUCCtQwqKnazfe2hKJvf0TGtTHeQXl58bFKBZdHCZwUjt4sKJjQj0jinKfIiCqYiI1KjvtnzH4wsfp9BZSLPwZrzc/2VaRrasuQLyM9xhdMkbUORw72uQ6F7LXoG0VkrPKSy3QtLW/XlUcCWeAD+re27QI6ZlSmwURligCbePSDkKpiIiUiOcLicv//Uy7615D4A+jfvwbN9nCfevoXmoc/fB4tfdE+Mfmoc0JtndQ5p0se4hrQVKnS627s9zB9AjQuj+3IrnBq0f6u+5BH9ojtDm9UPwq2XLdPoSBVMREal22UXZ3D//fhbuWQjAje1v5M7T78RWE72TjlRY+Ar8+d7hlZoadnAH0sQLFEi9VE5hCevScjyDklJS3ct0FpWWnxvUYoEW9UPKXIZ3L9MZaELlcioUTEVEpFqtz1jP3XPuZlfuLoL8gnii9xOcm3Bu9b9w5nZY8DIs//DwWvZxnd2X7NsO0TykXsIwDFKzC8sOSEp1sP1AfoXtg/1tBwNoGMmxESTHhdO2YRhB/roFoy5QMBURkWrzzeZveGLRExQ5i2gc2piX+79M26i21fui+za417Jf9Rm4Ds452bSnO5C2PFuB1ETFpS42peeWmaA+JdVBdkFJhe0bhQeSFBtGu7gIz/2gzaI0N2hdpmAqIiJVrthZzHNLn+Oz9Z8B7vtJJ5w5gYiAiOp70dSV8NuLkPINcHDUS4t+0Pd+SOhdfa8rFcrOLylzL6h7btAcSpzlRyT5WS20igktcz9oUmw4USGaG9TXKJiKiEiVSstL496597Jq/yosWLit423c1vE2rJZqupdz+yJ3IN00+/C+tufDmaOhSdfqeU3xMAyDnRkF5QYk7c6qeJnOsEC/cgOSWjcMJcBPl+JFwVRERKrQ4tTFjJk/hozCDML8w5hw5gT6Nulb9S9kGLDxJ/jtJdi52L3PYoX2l0Ofe6BhctW/plBY4mTD3pwjVklyf59TVPEynU3qBZWboL5JvSDNDSpHpWAqIiKnzOly8saqN5i6cioGBolRibzU7yXiw+Kr+IVKYc1M+H0ipK9x77P5Q8eroM/dENWial/Phx3ILSp3L+jmfXk4K5gc1N9mpU2j0MNzg8aGkxgbTkSQ5gaVylEwFRGRU7K/YD8P/PYAS1KXAO717h844wEC/apwqp7ifFjxMSx8FbK2u/f5h0LXG6DHHRAeW3Wv5WOcLoNtB/LKjIpfm+pgr6Oowvb1gu0HByOFeXpCWzYIxa65QaUKKJiKiMhJW5q2lPvn38/+gv0E+QXxaI9HubDlhVX3AvkZsPRtWDIV8g+49wVHQ/fb4YybIKhe1b2WD8gvLmVdWk6ZVZLWp+VQUFJ+mU6LBRKiQ8rcC5oUG07D8ABdipdqo2AqIiKV5nQ5efvvt5m8cjIuw0WryFa8eNaLtIisokvpWTtg0WT4axqUHJzPMrIp9BwJpw8F/+CqeZ06yjAM9jqKyswLunaPg60H8jAqWKYz0G4lsVHZe0ETG4UREqCYIDVLv3EiIlIp6fnpPPjbg/yR9gcAF7e8mIe6P0SwvQrCYuoq9+X61V+BcbAXr1EH6H03JF8CNv2z9U8lThdb9uWRkprN2tTDvaEZeRUv0xkTFlAmgCYdXKbTprlBxQvob7iIiJyweTvn8ciCR8gqyiLIL4iHuj/EJa0uObWDGgZs/sUdSLfMPby/eV93INWk+B6OwhLW/mOFpA17cymuYJlOm9VCi/ohZS7DJ8WG0yAswITKRU6MgqmIiBxXsbOYicsm8tHajwBIjErkub7P0Tyi+ckftLTY3TO66DXYu9q9z2KDdpdCr5EQd3oVVF47GYbBrsyCwwF0j4O1aQ52ZlQ8N2hogN/BJToPX45v0zCMQLvmBpXaRcFURESOaWv2Vu6ffz/rMtYBcG3StdzT5R78bSe5Kk9+Bix7H/54E3JS3fvsIdBlGHS/Deo1q5rCa4miUicb95ZdpnNtqgNHYcVzgzaODPKE0EPLdMbX0zKdUjcomIqISIUMw+CLDV/wwp8vUFBaQL2AejzZ+0nOij/r5A6YsQUWT4HlHx0e0BTaCLrf4p72yQdG2GfkFbP2H3ODbkrPpbSCuUHtNgutYo7sBXV/HxmsZTql7lIwFRGRcvYX7GfswrHM2zUPgO6x3XmmzzPEBMdU7kCGAdsXwuLJsO5bPGvYN2zvHmHf/jLwq3tBy+Uy2J6RXyaArk11kJpdWGH7iCD7EfeBhtEuLoJWMaH4+2luUPEtCqYiIlLG3J1zeXzh42QUZmC32rm7891cm3xt5da6Ly12r9C0+HVIXXl4f6uB0HMEtOhXZwY0FRQ7Wb/30Gj4bM8ynfnF5ecGBWgWHVxmhaTkuHBiIwI1N6gICqYiInJQfkk+L/z5Al9s+AKA1vVaM+HMCbSp1+bED5J3AJa9C3+8Dblp7n1+gdDxSvek+DGJ1VB5zdmXU3R4MNLBgUlb9uVSwZV4/P2sJDYqOyApsVEYYYFaplPkaBRMRUSEv/b+xSMLHmFnzk4AhiUP487OdxJgO8GphdJWu1dn+vsLKD14uTq0kXt1pi43QEh0NVVePZwug637c1mzx+GeG/RgGN2fW/EynfVD/cv0gCbFhtOifgh+WqZTpFIUTEVEfFhhaSGvLX+ND1I+wMCgUUgjnuz9JD1iexz/yS4nrP/eHUi3/XZ4f2wn9/r17S6tFfeP5haVsi7VUWZqpvV7cygsKT83qMUCLeqHeEbDHwqiMWGBJlQuUvcomIqI+Ki/9/3NwwseZmv2VgAuaXUJ93e7nzD/sGM/sSAT/vrQvYZ91nb3PosNki6EHrdDfHevvH/UMAxSswvLXIZPSXWw/UB+he2D/W20PeJSfHJsOG0bhRHsr386RaqL/naJiPiYYmcxU1dO5d3V7+I0nNQPqs/YnmOPPw3U3jWw5A1Y9TmUHpzoPagedB4GZ9wMEU2qv/gTVOJ0sSk9t1wIzcovqbB9o/DAf6yQFEZCdIjmBhWpYQqmIiI+ZNW+VTy24DE2Z28GYEjzITx0xkNEBkZW/ARniXuapz/egu2/H97fsD2ccQt0+Df4B1d/4ceQnV/iCZ6HpmfalJ5LsbPiZTpbNQgtF0KjQ7VMp4g3UDAVEfEBBaUFvLb8NT5a+xEuw0VUYBQPd3+YQQmDKn5CThosmwbL3ju8OtOhy/Xdb4WmPWv8cr1hGOzMKCAlNZuU1BxPb+jurIqX6QwL9CszICk5NpxWMaFaplPEiymYiojUcUvTlvL4wsc9I+4vaHEBY7qNKd9LahiwY5G7d3TtN+A6uCRmSAP35fquN0BE4xqpubDEyYa9OWUmqF+XmkNOUcXLdDapF1RmRHxybDhN6gVpblCRWkbBVESkjnIUO5i0bJJnXtKGwQ15rOdj9G3St2zDQges+gz+fBfSUw7vj+/uvlyfdFG1jq4/kFtU5jJ8SqqDzfvycFYwOai/zUqbRqEkNTrcC5oYG05EkOYGFakLFExFROoYwzD4cfuPPPvHs+wv2A/Av9v8m9FdRhPqH3q4Yeoq+PMdWPUFlOS59/kFwWn/hm43Q+xpVVqX02Ww7UBemQFJa1Md7HVUPDdovWB7mSmZkmLDadkgFLvmBhWpsxRMRUTqkD25e3hq8VP8tts9r2hCeAKP9XyMbo26uRsU50PKLHfv6K6lh59Yv637Un3HKyEo8pTryCsqZV1aTtm5QdNyKCgpv0ynxQIJ0SEHByOFHQyjETQMD9CleBEfo2AqIlIHlLpK+Xjtx7y+4nUKSguwW+3c1OEmbupwE/42f0hf5x7ItPITKMx2P8nq5x7M1PVGSOhzUoOZDMNgr6OoTABdm+pg64E8jAqW6Qy0W2nbKLzc3KChAfrnSEQUTEVEar0V6St4avFTrM9cD0CXhl14rOdjtAiOhdUzYNn77kFNh0Q2hS7DodO1ENbwhF+n1Oli8768MiE0JdVBRl5xhe0bhAV4pmRyh9AwmtcPxaa5QUXkKBRMRURqqYzCDCYum8isTbMACPcP596u93JJWGusC6bCqk8P945abNB2CHS5HlqeDdZj36fpKCxhXWoOKXuyPWvFr9+bQ3Fp+blBrRZoeXBu0KTYw6PiG4RpblARqRwFUxGRWsbpcvLVxq94+a+XcRQ7ALi0+QXcHZhA1LzJZe8djWgKnYfC6ddCeFy5YxmGwe6sgoOX4HMOzhHqYGdGxXODhgb4kRQb5gmfSQcvxWtuUBGpCgqmIiK1yMp9Kxm/ZDxrDqwBIDG0KQ9boun0+wdQnOtuZPWDtudBl2HQoj9Y3aGxqNTJxr255e4HdRRWPDdo48gg92CkIy7Hx9cL1jKdIlJtFExFRGqB9Px0Ji2bxH+3/BeAUKs/Iwvgiq2/H/4gj2oBna+DTteQaYl0B9AF2z33gm5Kz6W0grlB/awWWjcMO2JaJvf3kcHVN3epiEhFTA2m8+fP5/nnn2fZsmWkpqYyc+ZMLrnkEjNLEhHxKsXOYj5I+YC3Vr1Ffmk+AJfk5jMqYxf1nS4MvyByW57P6oYXs6CkDSmbckj57W9SswsrPF54oJ9nOqZDUzO1igklwE+X4kXEfKYG07y8PDp27Mj111/PZZddZmYpIiJexTAM5u6cy/NLnmFnfhoApxUW8eCBTNoXF7M7qC1v+A3k3ewu7F15aJDR5jLHaBoVXHZUfFw4cRGBmhtURLyWqcF0yJAhDBkyxMwSRES8zto9fzDht8f5q3AXAA1KS7knM4seOTa+cQ7gP86zWFfY1NPe389KYqMwkhq5L8O3axxBYqMwwgK1TKeI1C616h7ToqIiiooOL13ncDhMrEZE5NQ5XQZb9+eyZncm6WtnstTxKYsDczAsFvxdBtdm59A6I4H/lv4fo12dCQ8JJjkunLOOmKC+ef0Q/LRMp4jUAbUqmI4fP55x48aZXYaIyEnJLSplfdrhielT9jhwpa1hoGUOBdF/8WWEncIgK2ChT45B8/xepDf6NwGdmnNlbDhPHpwbVJfiRaSuqlXB9MEHH2T06NGebYfDQXx8vIkViYiUZxgGaY5C96j4I0LotgPuwUsNyOIi2wKetP3G6noZvFEvggyb+z7RRCOc61rdyoBuVxEcoEvxIuJbalUwDQgIICBAK4mIiPcocbrYvC/XHUD3OFh7sEc0M7+kTLtgCrnY+idXBiykm7GKn0ICGVMvgl32KACaBkRzzxkPMKD5YPWIiojPqlXBVETETNkFJZ5e0EOT1G/cm0uxs/wynTarhTb1g7gkYj1nF8+jxf45WJ0FLAoM5Op6MawNcM8RGh0Qxe2d7uBfbf6F3aoeUhHxbaYG09zcXDZt2uTZ3rp1KytWrCAqKoqmTZse45kiItXHMAx2ZRaw5ogAmrLHwe6sipfpDAvwI+ngQKTkRmF08dtMsz3f4bd2JuzcB8CygABei2vKnwc/dUPsIVzf7nqGJg8l2B5cU29NRMSrmRpM//zzT/r37+/ZPnT/6LBhw3j//fdNqkpEfElhiXuZzpTUbPda8QfDaE5Rxct0NqkXVHZu0NhwmtQLwrJvHfz9BSz8ErK2e9r/HR7Da40as7DkAAB2q50r2l7BLafdQr3AejXyHkVEagtTg2m/fv0wjPLL44mIVIcDuUXu8Jma7RmUtHlfHs4Klun0t1lp3TDUs0xncmw4ibHhRAQdcbk9Yyus+Rj+/grS1xzebw9hfet+vBboYm7mGig5gJ/Fj0tbX8otp91Co5BGNfBuRURqH91jKiJ1jtNlsP1AnucS/KHL8XsdRRW2rxds94TPQz2hLRuEYq9obtDs3bBmJqyZAbuXHd5vtUPrgaS07MUbOev5ddc8KACrxcqFLS7k1o63Eh+mWURERI5FwVREarX84lLWpeWUCaDrUnMoKHFW2L55/RD3GvEHA2hSbDiNwo+zTGdOGqR84w6kOxYe3m+xQvO+0O5frG7UmjfWfcLctW+6f4SFcxPO5fZOt9M8onlVvmURkTpLwVREagXDMNiXU8SaI+YGXZvqYOv+PCq6IyjQbqVtwzCS4yIO9oaG0bZROKEBJ/ixl7MX1h4Mo9sXAke8SNNe0P5fkHwxK/L38MaqN/h99QuAu4d0SPMh3NLhFlpEtjj1Ny4i4kMUTEXE65Q6XWzZn1emFzRlj4MDecUVtq8fGuBeI94TQt3LdNqslZwP1JEKa/8LKV/D9gWUCaNNukHyJdDuEozwxizcs5C3fx/Dn3v/BMBmsXF+i/O5ucPNJEQknNT7FhHxdQqmImKqnMIS1qbmlFklaf3eHIpLy88NarVAiwahZS7DJ8WGERMWePIFZO08HEZ3Li77s8Zdod2lkHwxRMbjdDmZvWM2784fzdqMtQD4Wf24qOVF3Nj+RpqGa5o7EZFToWAqIjXCMAx2ZxUc7AU9ODI+1cHOjIrnBg3xt3kGIiXFuntB2zYKI9BuO/ViDmx2X6Zf+9+yA5gAmpwByRdB0kVQrxkAhaWFfLP+cz5I+YDtDvdUUEF+QVze5nKuS75Oo+xFRKqIgqmIVLniUhcb03PK3AuasseBo7DiuUFjIwJpd0QATYoNp2lUMNbKXoo/GsOAvavdQXTtfyE95YgfWqBpT3evaNKFENHY85OMwgw+W/cZn6z7hMyiTAAiAiK4OvFqrk68msjAyKqpT0REAAVTETlFmXnFh+8DPRhAN+/LpcRZfkSSn9VC64ZhZUbFJ8eGExnsX/WFOUth5xJY9y2s+1+ZSe+x+rlH0ydeAInnQ1jZHs+t2Vv5MOVDvtn8DUVO9xRTjUMbc23Stfyr9b+0UpOISDVRMBWRE+JyGezIyC8zGGltqoM92YUVto8IspMUG0ZSbDjt4iJIig2jVUwoAX5VcCn+aIrzYcscWPcdbPge8g8c/plfELQa4O4VbTMYgsquuuQyXCzas4iP1n7E77t/9+xvH92eYe2HcU7Tc/Cz6iNTRKQ66VNWRMopLHGyPi2nTABdm+ogr7jiuUGbRgWXXaYzLpy4iOPMDVpVctJgww+w/nvYMhdKjwjKQfWgzRB3r2jLs8G/fE9nfkk+32z+hunrprM1eyvgnoP0rPizGN5uOJ1jOtfM+xAREQVTEV+3L6eo3ApJW/blUsEqnfj7uecGPXwpPoLE2DDCA+3lG1eXQ/eLrv/B3Sv6z8FLkU2h7Xnuy/RNe4Kt4o+5bdnb+HzD58zaOIuckhwAQu2hXNLqEq5KvEoj7EVETKBgKuIjnC6DrfsPL9N5aFDSvpyKl+mMDvEvMyI+OS6cFvVD8Ktomc7qVlIAW+e7e0Y3/AiO3WV/3rgLtB3iDqQxyXCUHs5SVylzd87ls/WfsTj18NRQzcKbcXXi1Vzc6mJC7CHV+EZERORYFExF6qDcolLWpx0KoO5L8uvTHBSWlJ8b1GI5tExneJkBSTFhAeZews7cDht/go2z3aG09IhppfyCoGV/aD3IHUjDjj1dU1peGjM3zuTLjV+Snp8OuC/X923SlyvaXkHvxr2xWkwI3CIiUoaCqUgtZhgGaY7CMpPTp+xxsO1AfoXtg+w2Ev+xTnxiozCC/b3go6C02D3B/aEwum9d2Z+HN3EPWmpzLjQ/E+xBxzxciauE33b9xlcbv+L33b/jMtyhPCowin+1/heXt7mcxqGNj3kMERGpWV7wr5GInIgSp4tN6bmeELr2YI9oZn5Jhe1jwgIOzw16sBe0WfRJLNNZnTK3w6afYdMvsHUeFOce/pnFBvHdofVA96Nh+6Neoj/STsdOZmyawaxNs9hfsN+zv3NMZ65oewXnNDsHf1s1TE8lIiKnTMFUxAtlF5QcDqAHByRt3JtLsbP8pXib1UKrBqHuAUmeZTrDqR8aYELlx1GcB9sXwuZf3YF0/4ayPw+ufziItjy73JROR5NXksdP237i681fs2zv4cFQUYFRXNzyYi5tfSnNI5pX5TsREZFqoGAqYiLDMNiVWcCaIwLo2lQHuzIrXqYzLMCvTA9oUmw4rRuGVs0yndXB5YL0Ne4e0c2/wo5F4Cw+/HOLDeLPcM8v2mogNDoNrCd2r6fLcLE0bSlfb/qan3f8TMHBe1AtWOgV14vL2lxGvyb9sNtqcMYAERE5JQqmIjWksMTJpvTcMveCrk11kFNU8TKdjSODyo6Kjw0nPirI++fUzN7lnk908xz35fm8fWV/Ht4EWp0NLQdAi34QFFmpw2/I3MD/tvyP77d+T1pemmd/QngCF7e6mAtaXKC160VEaikFU5FqcCC3iLWpOaSkZru/7nGwaV8uzgomB7XbLLRpGFZmVHxSo3AigmtJT19+BmxfAFvmuVddOrCp7M/twZBwpvvSfKsBEN3qhO4VPVJqbirfbf2Ob7d+y8bMjZ79YfYwhjQfwkWtLuK0+qd5f2gXEZFjUjAVOQUul8G2A3meS/CHekP3OiqeGzQy2O7p/Tx0L2irmFD8/WrRVEXFee5L8lvmuadxSl0JHBG4LVb3vKIt+kGL/tCkG/hVfrDRvvx9zN4+mx+3/chf6X959tutdvo26cv5Lc6nb5O+BNi88F5aERE5KQqmIicov7iUdWk5ZQYlrUvLIf8oy3QmRAd7ej+TYsNp1zicRuE1tExnVSrOh51LYNvvsO0390pLrn/cftAg8WCvaH9o1rvSl+cPOVBwgJ+3/8wP235g2d5lGEcE3q4Nu3J+i/MZ2GwgEQERp/CGRETEWymYivyDYRjsyylizT9WSNq6Pw+jgmU6A/ysJMaGk3xwftCk2HASY8MJDailf72K82DnH+7L89t+h11/gusfU1JFNIUWfaF5P/ecoseZ4P5Y0vLS+GXHL/yy4xeW7V3mmW8U4LQGpzG42WAGJQzSfaMiIj6glv7LKVI1Sp0utuzPKzdB/YG84grb1w8NOGJEfBjt4sJJiDZpmc6qUpgNO5a4g+j2BbBnefke0fDG7h7R5mdCQh+ol3BKL7kte5snjP69/+8yP2sX3Y5zE85lUMIg4kLjTul1RESkdlEwFZ/hKCxhXWpOmRC6fm8OxaXl5wa1WqBFg1BPD6h7dHwYMWGBJlRexRypsGMh7FgM2xfB3tWUuUcUICLefUm+WS93GK3XvNIDlo7kdDlZuW8lc3fOZc7OOWxzbPP8zIKF02NOZ0DTAQxoNkCrMYmI+DAFU6lzDMNgT3bh4cnpD4bQHRkVL9MZ4m/zDERKig2nXVw4bRqGEeTvpXODVobLCelr3feI7lziDqNZ28u3i2rhDqHN+kBCb4hsesov7Sh2sGjPIubvms/8XfPJKsry/MzP4kfXRl0Z2GwgZzc9m/pB9U/59UREpPZTMJVarbjUxcb0nIMh9PD0TNkFFS/TGRsRWKYXNDk2nKZRwVi9aZnOU1GY7R6ctHOpO4juWgpFjrJtLFb38p7NekHTntC0xyndI3qIYRhsyNzAb7t/47ddv7Fy30qcxuGBYWH+YfRt0pd+8f3oHdebMP+wU35NERGpWxRMpdbIyi/23APqHpCUw6b0HEqc5Uck+VkttIoJ9cwLeiiM1gupQ2uku1zuJT13LYVdf7jD6L51lLss7x8KTbq6152P7+6evikwvEpKyCjMYPGexSzcs5BFqYtIz08v8/PmEc3p07gP/eP70ymmE3ZrLZmbVURETKFgKl7H5TLYmZlfZkR8yh4He7ILK2wfHuhX5jJ8cpx7btAAvzpwKf5IuenuEfK7/3R/3bO8fG8oQGQz9zKfTc6Apt0hph3YquavekFpASvSV7AodRGL9yxmbcbaMj8PtAXSPbY7fRr3oU/jPjQJa1IlrysiIr5BwVRMVVjiZP2huUGPmB807yhzgzaNCiYpNozk2AjPgKTGkbVgmc7KKshyB889f8Huv9zfO3aXb2cPhrjT3b2gTbq5A2loTJWVUewsZtW+VSxNW8qStCWs2reKkn9MHdW2Xlt6xfWiR1wPujTsognvRUTkpCmYSo3Zn1t0eEDSwRC6eV8uFazSib+flTYNQ2kXG+EOonERJMaGER5YBy8FF2a7V0/aswJSV7i/ZmyuoKEFYpLcqyo17uK+PN8gqcp6Q8HdI/r3vr9ZtncZy9KXsTJ9JYXOsj3VDYMb0j22Oz3jetIjtocGLomISJVRMJUq53QZbN1fdpnOtakO0nMqXqYzKsSfdnHhZdaKb1G/ls8NejS5+yBtJaSugrRV7kCasaXitpHNoHFniOvsDqKxHSEgtErLySzMZOW+lSxPX86yvctYc2ANpf+YwzQqMIrujbrTLbYb3Rt1Jz4svu71UIuIiFdQMJVTklfkXqbzyEFJ69McFJaUnxvUYoHm0SEkxYWXGZQUExZQ94KOy+UOnHv/hrTV7rlCU1dCTmrF7SOaQlxHiO0EcZ0g9nQIia7SkpwuJ1uyt7By30pWpK9g5b6VZeYTPSQmOIYuDbvQtWFXujTsQouIFnXvz0dERLySgqmcEMMw2OsoIiU1+4ipmRxsO1DxMp1BdhuJRyzRmRwXTmKjMIL96+CvXEEm7E2BvWsgfY376941UFLRvKkWiG4JjU6D2NMOfu1U5SHUMAz25u9l9f7VrNq/itX7V7Nm/xryS8vX1CKiBR0bdKRzw850adiFJqFNFERFRMQUdTAlyKkqcbrYvC+33DKdmfkVzw3aMDyg3NygzaJDsNWVuUEPKc6DfevdUzKlp7gnrt+bAjl7Km7vFwgxydCoPTTs4A6iDdtBQNXO33kohKYcSPE81masZX/B/nJtg/2CaV+/PR0bdKRTTCc6NuhIREBEldYjIiJyshRMfVx2QQlrj7wXNM3BhrRcip3lL8XbrBZaNQg9OBjp8EpJ9UPr2Cjsohz3/KD7NrhD6L71sG8tZG6n3Byhh0Q0hYbJ7iDasB006gBRLat0YBJAqauUbdnbWJ+5nvUZ61mfuZ51GevIKMwo19ZmsdG6Xms61O9Ah/odaF+/PS0iWmCz1rFptEREpM5QMPURhmGwK7OgzJRMKakOdmUWVNg+LMCvTA9oUmw4rRuGEmivI6HGMNz3e+7fAPs3woFNh8OoY9fRnxdc3z0yPiYJGiS6Q2hMEgRWba+jYRik56ezKWsTm7I2sSFzg/v7zE0Uu4rLtbdZbLSMbElydDJJUUkkRyfTNqotQX5BVVqXiIhIdVIwrYOKSp1s3Jt7+DL8wR7RnMLSCts3jgzy9IAmH3zER9WRuUELMuHA5oOPTe5pmA5scm8X5x79eSEx0KCt+1G/LcQkuqdmCm1QpeW5DBepealsydrCluwtbM3eypbsLWzK2kROcU6Fzwn2C6ZNvTa0jWrrftRrS5t6bQj0C6zS2kRERGqagmktl5FXXO5e0M37cimtYHJQu81C65iwMr2gybHhRATX4rlBXS7I3QuZ2yBzq3skfMbBr5lb3cH0aCw2qJcA9dtA/dYHH23cYTSoXpWVaBgG2UXZbHNsY7tje5nHjpwdFJRW3Gtts9hoFt6MVpGtaFWvFa0jW9OmXhuahDXBaqmDU2mJiIjPUzCtJVwug+0Z+eUmqE9zVLxMZ2Sw3dP7eehe0FYxofj71bJAYxjucJm144jH9oNBdLv7+9KKz4FHWCxEt4KoFu6v0S3dX+s1Bz//Kimz1FXK3vy97M7Zza7cXezM2ckOxw525uxkV84uckoq7v0E8LP6kRCeQPOI5rSIaEGLiBa0jGxJ84jm+Nuqpj4REZHaQMHUCxUUO1mXVnad+HVpOeQfZZnOhOhg96X4RgfXi28cTqPwwNpxKb602H2vp2M3ZO+C7J0Hvx58ZO049iV3AIsVwptAVPODjxbuR73m7h7RKpiUPr8kn7S8NNLy0kjNSyUtP409uXs8j735e3EaFf/5HNIwuCEJ4Qk0C29Gs/BmJEQk0DSsKU3CmuBn1V9FERER/WtoIsMw2JdTdMR9oDmk7Mlm6/68CpfpDPCzktgorMz9oImx4YQGeOEfo2FAYRbkpLmDZ07a4e8de9xB1LEHctM56kj3I4U2hMimEBHv/lov4fAjognYTu52hBJXCRkFGewv2M++gn2k56eXeezN30t6fjqOYsdxj+Vv9ScuNI7GYY2JD40nPuzwo3FYYw1EEhEROQ4vTDR1U6nT5Vmm89D9oGtTHezPLT/CGqB+aMDBABpGu7gIkmPDSIg2eZlOw3BPpZS3D/L2H/ya7l5mM3fvwUc65Ka5vx7vEvshNn8Ib+wOmBHxB782gYjGEJng/t5+YgN7DMMgtySXrMIsMosyySzMJKMwgwOFB8gozHA/CjLYX7ifAwUHyCzMxDiRYAyE2cNoGNKQ2JBYGoU0IjYklsahjd1hNLQx0UHRuvdTRETkFJgeTCdPnszzzz9Pamoq7dq1Y9KkSZx55plml3VKcgpLWJeWU2ZQ0vq0HIpKy88NarVAiwahB+8DdYfQpNgwYsKqeYT1oZBZkAkFGe6v+Qe/FmRC/gH3I2//we8zIH//iYfNQ4Lque/xDGvk/hra0B04wxtDeJz7a3C0e71ST2kGBaUF5JbkklOcQ07mOhzFDvf3xTk4ih04ihxkF2eTXeR+OIodZBVlkVWYRalR8ewDR2Oz2IgOjKZ+cH1igmKICT78aBjc0P01pCFh/lU7Mb6IiIiUZWow/eyzz7j77ruZPHkyvXv35o033mDIkCGkpKTQtGlTM0s7IYZhsCe78PCApIMhdEdGRUtRQoi/zTMQ6dDI+DYNwwjyr8TcoC6newWiknz31+JcKMo9+H2O+/uiHChyuL8WOtzfF2YffGQd/t4oH5RPiD0EV0g0xSENKAqOoigkmqLgehQGRlIUGE5BQChFAcEU2IMpxElBaQEFpQXkl+a7v5akUbBvK/l78skvzSevJM/zyC3JJa8kD9fJ1nZQkF8Q9QLqEREQQXRQNFGBUUQHHvx6cLt+UH3qB9WnXmA99XSKiIh4AYthVLTSec3o3r07nTt3ZsqUKZ59SUlJXHLJJYwfP/64z3c4HERERJCdnU14eHh1lgrADwveYXPaJjJyiziQV8yB3CKKS90DXiwYWDGw4sJiMQj1txIV5Ed0iI3IQBsRgVZC7GAxXBiuUnCVgrMUw1Xi2TacxbicJeAqwXAWYzhL3NvOYlzOYvfPDScG4AJcFnBhOeJ797bz4H4nHP7eAqWHvloslHLwq8VGqZ8/pTY7JTY7pTY/Sq02ii1WSixWSixQDJRgUGI4KXKVUOwqocRV8fKkVclmsRHqH0qYPYww/zDC/cMJ8w8j1D+UyIBIIgIiCPcP93ytF1iPyIBIIgMiNaeniIiIl6hMXjOtx7S4uJhly5bxwAMPlNk/aNAgFi5cWOFzioqKKCoq8mw7HMcfkFKVPlo9mZWBB+8JDTn4OBGFBx8nyoL7T8bzp2MDgg4+qovT/XCn20qxWqwE2gIJ9AskwBZAgC2AQL9AgvyCCPILItAWSJA9yLMdYg8h2C/Y/bC7v4b4hxBmDyPEHkKofygh9hACbbVkZgERERGpEqYF0/379+N0OmnYsGGZ/Q0bNiQtLa3C54wfP55x48bVRHkVauTXgKKiVKxWKzYLWC0WrFYLFizuMInl4IPD90xarO59FsvBkHXoe2uZBwcfFosNq9WGxWJzb1v93NtWPyxWO1arH1ab3dPOihWr1er+anE/bFYbNovN/b3F/f2hfX5WP/ysfmW+97O4v9ptds/3/jZ//K3+2G127FY7dpsdf6s/AbYA989sB7+3+uNn9VOAFBERkVNm+uCnfwYawzCOGnIefPBBRo8e7dl2OBzEx8dXa31HeuHGH2rstURERER8jWnBtH79+thstnK9o+np6eV6UQ8JCAggICCgJsoTERERkRpm2lBkf39/unTpwuzZs8vsnz17Nr169TKpKhERERExi6mX8kePHs3QoUPp2rUrPXv25M0332THjh3cdtttZpYlIiIiIiYwNZheccUVHDhwgCeeeILU1FTat2/Pd999R7NmzcwsS0RERERMYOo8pqeqpucxFREREZHKqUxe03I3IiIiIuIVFExFRERExCsomIqIiIiIV1AwFRERERGvoGAqIiIiIl5BwVREREREvIKCqYiIiIh4BQVTEREREfEKCqYiIiIi4hUUTEVERETEKyiYioiIiIhXUDAVEREREa+gYCoiIiIiXsHP7AJOhWEYADgcDpMrEREREZGKHMpph3LbsdTqYJqTkwNAfHy8yZWIiIiIyLHk5OQQERFxzDYW40Tiq5dyuVzs2bOHsLAwLBZLtb+ew+EgPj6enTt3Eh4eXu2vV5vo3FRM5+XodG4qpvNydDo3FdN5OTqdm4rV9HkxDIOcnBzi4uKwWo99F2mt7jG1Wq00adKkxl83PDxcv+BHoXNTMZ2Xo9O5qZjOy9Hp3FRM5+XodG4qVpPn5Xg9pYdo8JOIiIiIeAUFUxERERHxCgqmlRAQEMDjjz9OQECA2aV4HZ2bium8HJ3OTcV0Xo5O56ZiOi9Hp3NTMW8+L7V68JOIiIiI1B3qMRURERERr6BgKiIiIiJeQcFURERERLyCgqmIiIiIeAWfD6aTJ0+mefPmBAYG0qVLF3777bdjtp83bx5dunQhMDCQFi1aMHXq1HJtvvrqK5KTkwkICCA5OZmZM2dWV/nVpjLnZcaMGQwcOJAGDRoQHh5Oz549+fHHH8u0ef/997FYLOUehYWF1f1Wqlxlzs3cuXMrfN/r1q0r087XfmeGDx9e4Xlp166dp01d+J2ZP38+F154IXFxcVgsFmbNmnXc5/jKZ0xlz42vfM5U9rz40mdMZc+NL3zOjB8/nm7duhEWFkZMTAyXXHIJ69evP+7zvPlzxqeD6Weffcbdd9/Nww8/zPLlyznzzDMZMmQIO3bsqLD91q1bOe+88zjzzDNZvnw5Dz30EHfddRdfffWVp82iRYu44oorGDp0KCtXrmTo0KH83//9H0uWLKmpt3XKKnte5s+fz8CBA/nuu+9YtmwZ/fv358ILL2T58uVl2oWHh5OamlrmERgYWBNvqcpU9twcsn79+jLvu3Xr1p6f+eLvzMsvv1zmfOzcuZOoqCj+/e9/l2lX239n8vLy6NixI6+99toJtfeVzxio/Lnxlc+Zyp6XQ+r6ZwxU/tz4wufMvHnzGDFiBIsXL2b27NmUlpYyaNAg8vLyjvocr/+cMXzYGWecYdx2221l9iUmJhoPPPBAhe3vv/9+IzExscy+W2+91ejRo4dn+//+7/+Mc889t0ybwYMHG1deeWUVVV39KnteKpKcnGyMGzfOs/3ee+8ZERERVVWiaSp7bubMmWMARmZm5lGPqd8Zw5g5c6ZhsViMbdu2efbVld+ZQwBj5syZx2zjK58x/3Qi56YidfVz5pATOS++8hnzTyfzO+MLnzPp6ekGYMybN++obbz9c8Zne0yLi4tZtmwZgwYNKrN/0KBBLFy4sMLnLFq0qFz7wYMH8+eff1JSUnLMNkc7prc5mfPyTy6Xi5ycHKKiosrsz83NpVmzZjRp0oQLLrigXE+HtzuVc3P66acTGxvLgAEDmDNnTpmf6XcG3nnnHc455xyaNWtWZn9t/52pLF/4jKkqdfVz5mTV5c+YquILnzPZ2dkA5f5eHMnbP2d8Npju378fp9NJw4YNy+xv2LAhaWlpFT4nLS2twvalpaXs37//mG2OdkxvczLn5Z9efPFF8vLy+L//+z/PvsTERN5//32++eYbPvnkEwIDA+nduzcbN26s0vqr08mcm9jYWN58802++uorZsyYQdu2bRkwYADz58/3tPH135nU1FS+//57brrppjL768LvTGX5wmdMVamrnzOV5QufMVXBFz5nDMNg9OjR9OnTh/bt2x+1nbd/zvhV+yt4OYvFUmbbMIxy+47X/p/7K3tMb3Sy7+GTTz5h7NixfP3118TExHj29+jRgx49eni2e/fuTefOnXn11Vd55ZVXqq7wGlCZc9O2bVvatm3r2e7Zsyc7d+7khRdeoG/fvid1TG91su/h/fffJzIykksuuaTM/rr0O1MZvvIZcyp84XPmRPnSZ8yp8IXPmZEjR7Jq1Sp+//3347b15s8Zn+0xrV+/PjabrVz6T09PL/e/hEMaNWpUYXs/Pz+io6OP2eZox/Q2J3NeDvnss8+48cYb+fzzzznnnHOO2dZqtdKtW7da9b/SUzk3R+rRo0eZ9+3LvzOGYfDuu+8ydOhQ/P39j9m2Nv7OVJYvfMacqrr+OVMV6tpnzKnyhc+ZO++8k2+++YY5c+bQpEmTY7b19s8Znw2m/v7+dOnShdmzZ5fZP3v2bHr16lXhc3r27Fmu/U8//UTXrl2x2+3HbHO0Y3qbkzkv4O7BGD58ONOnT+f8888/7usYhsGKFSuIjY095Zprysmem39avnx5mfftq78z4B5RumnTJm688cbjvk5t/J2pLF/4jDkVvvA5UxXq2mfMqarLnzOGYTBy5EhmzJjBr7/+SvPmzY/7HK//nKn24VVe7NNPPzXsdrvxzjvvGCkpKcbdd99thISEeEbsPfDAA8bQoUM97bds2WIEBwcb99xzj5GSkmK88847ht1uN7788ktPmwULFhg2m82YMGGCsXbtWmPChAmGn5+fsXjx4hp/fyersudl+vTphp+fn/H6668bqampnkdWVpanzdixY40ffvjB2Lx5s7F8+XLj+uuvN/z8/IwlS5bU+Ps7FZU9NxMnTjRmzpxpbNiwwVi9erXxwAMPGIDx1Vdfedr44u/MIddee63RvXv3Co9ZF35ncnJyjOXLlxvLly83AOOll14yli9fbmzfvt0wDN/9jDGMyp8bX/mcqex58ZXPGMOo/Lk5pC5/ztx+++1GRESEMXfu3DJ/L/Lz8z1tatvnjE8HU8MwjNdff91o1qyZ4e/vb3Tu3LnMFAvDhg0zzjrrrDLt586da5x++umGv7+/kZCQYEyZMqXcMb/44gujbdu2ht1uNxITE8t8QNQWlTkvZ511lgGUewwbNszT5u677zaaNm1q+Pv7Gw0aNDAGDRpkLFy4sAbfUdWpzLl59tlnjZYtWxqBgYFGvXr1jD59+hjffvttuWP62u+MYRhGVlaWERQUZLz55psVHq8u/M4cmsrnaH83fPkzprLnxlc+Zyp7XnzpM+Zk/j7V9c+Zis4HYLz33nueNrXtc8Z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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# pyplot-style: preferred for interactive plots\n", "x = np.linspace(0, 2, 100)\n", "\n", "plt.figure(figsize=(8,6))\n", "plt.plot(x, x, label='linear') # Plot some data on the (implicit) axes.\n", "plt.plot(x, x**2, label='quadratic') # etc.\n", "plt.plot(x, x**3, label='cubic')\n", "plt.xlabel('x')\n", "plt.ylabel('y = f(x)')\n", "plt.title(\"pyplot-style Plot\")\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also use subplots to draw on different parts of the same figure and annotate the plots with $\\LaTeX$:" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "/* global mpl */\n", "window.mpl = {};\n", "\n", "mpl.get_websocket_type = function () {\n", " if (typeof WebSocket !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof MozWebSocket !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert(\n", " 'Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.'\n", " );\n", " }\n", "};\n", "\n", "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = this.ws.binaryType !== undefined;\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById('mpl-warnings');\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent =\n", " 'This browser does not support binary websocket messages. ' +\n", " 'Performance may be slow.';\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = document.createElement('div');\n", " this.root.setAttribute('style', 'display: inline-block');\n", " this._root_extra_style(this.root);\n", "\n", " parent_element.appendChild(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message('supports_binary', { value: fig.supports_binary });\n", " fig.send_message('send_image_mode', {});\n", " if (fig.ratio !== 1) {\n", " fig.send_message('set_device_pixel_ratio', {\n", " device_pixel_ratio: fig.ratio,\n", " });\n", " }\n", " fig.send_message('refresh', {});\n", " };\n", "\n", " this.imageObj.onload = function () {\n", " if (fig.image_mode === 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function () {\n", " fig.ws.close();\n", " };\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "};\n", "\n", "mpl.figure.prototype._init_header = function () {\n", " var titlebar = document.createElement('div');\n", " titlebar.classList =\n", " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", " var titletext = document.createElement('div');\n", " titletext.classList = 'ui-dialog-title';\n", " titletext.setAttribute(\n", " 'style',\n", " 'width: 100%; text-align: center; padding: 3px;'\n", " );\n", " titlebar.appendChild(titletext);\n", " this.root.appendChild(titlebar);\n", " this.header = titletext;\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._init_canvas = function () {\n", " var fig = this;\n", "\n", " var canvas_div = (this.canvas_div = document.createElement('div'));\n", " canvas_div.setAttribute(\n", " 'style',\n", " 'border: 1px solid #ddd;' +\n", " 'box-sizing: content-box;' +\n", " 'clear: both;' +\n", " 'min-height: 1px;' +\n", " 'min-width: 1px;' +\n", " 'outline: 0;' +\n", " 'overflow: hidden;' +\n", " 'position: relative;' +\n", " 'resize: both;'\n", " );\n", "\n", " function on_keyboard_event_closure(name) {\n", " return function (event) {\n", " return fig.key_event(event, name);\n", " };\n", " }\n", "\n", " canvas_div.addEventListener(\n", " 'keydown',\n", " on_keyboard_event_closure('key_press')\n", " );\n", " canvas_div.addEventListener(\n", " 'keyup',\n", " on_keyboard_event_closure('key_release')\n", " );\n", "\n", " this._canvas_extra_style(canvas_div);\n", " this.root.appendChild(canvas_div);\n", "\n", " var canvas = (this.canvas = document.createElement('canvas'));\n", " canvas.classList.add('mpl-canvas');\n", " canvas.setAttribute('style', 'box-sizing: content-box;');\n", "\n", " this.context = canvas.getContext('2d');\n", "\n", " var backingStore =\n", " this.context.backingStorePixelRatio ||\n", " this.context.webkitBackingStorePixelRatio ||\n", " this.context.mozBackingStorePixelRatio ||\n", " this.context.msBackingStorePixelRatio ||\n", " this.context.oBackingStorePixelRatio ||\n", " this.context.backingStorePixelRatio ||\n", " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", " ));\n", " rubberband_canvas.setAttribute(\n", " 'style',\n", " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", " if (this.ResizeObserver === undefined) {\n", " if (window.ResizeObserver !== undefined) {\n", " this.ResizeObserver = window.ResizeObserver;\n", " } else {\n", " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", " this.ResizeObserver = obs.ResizeObserver;\n", " }\n", " }\n", "\n", " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", " var width, height;\n", " if (entry.contentBoxSize) {\n", " if (entry.contentBoxSize instanceof Array) {\n", " // Chrome 84 implements new version of spec.\n", " width = entry.contentBoxSize[0].inlineSize;\n", " height = entry.contentBoxSize[0].blockSize;\n", " } else {\n", " // Firefox implements old version of spec.\n", " width = entry.contentBoxSize.inlineSize;\n", " height = entry.contentBoxSize.blockSize;\n", " }\n", " } else {\n", " // Chrome <84 implements even older version of spec.\n", " width = entry.contentRect.width;\n", " height = entry.contentRect.height;\n", " }\n", "\n", " // Keep the size of the canvas and rubber band canvas in sync with\n", " // the canvas container.\n", " if (entry.devicePixelContentBoxSize) {\n", " // Chrome 84 implements new version of spec.\n", " canvas.setAttribute(\n", " 'width',\n", " entry.devicePixelContentBoxSize[0].inlineSize\n", " );\n", " canvas.setAttribute(\n", " 'height',\n", " entry.devicePixelContentBoxSize[0].blockSize\n", " );\n", " } else {\n", " canvas.setAttribute('width', width * fig.ratio);\n", " canvas.setAttribute('height', height * fig.ratio);\n", " }\n", " canvas.setAttribute(\n", " 'style',\n", " 'width: ' + width + 'px; height: ' + height + 'px;'\n", " );\n", "\n", " rubberband_canvas.setAttribute('width', width);\n", " rubberband_canvas.setAttribute('height', height);\n", "\n", " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", " return fig.mouse_event(event, name);\n", " };\n", " }\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mousedown',\n", " on_mouse_event_closure('button_press')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'dblclick',\n", " on_mouse_event_closure('dblclick')\n", " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", " on_mouse_event_closure('motion_notify')\n", " );\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mouseenter',\n", " on_mouse_event_closure('figure_enter')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseleave',\n", " on_mouse_event_closure('figure_leave')\n", " );\n", "\n", " canvas_div.addEventListener('wheel', function (event) {\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " on_mouse_event_closure('scroll')(event);\n", " });\n", "\n", " canvas_div.appendChild(canvas);\n", " canvas_div.appendChild(rubberband_canvas);\n", "\n", " this.rubberband_context = rubberband_canvas.getContext('2d');\n", " this.rubberband_context.strokeStyle = '#000000';\n", "\n", " this._resize_canvas = function (width, height, forward) {\n", " if (forward) {\n", " canvas_div.style.width = width + 'px';\n", " canvas_div.style.height = height + 'px';\n", " }\n", " };\n", "\n", " // Disable right mouse context menu.\n", " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", " event.preventDefault();\n", " return false;\n", " });\n", "\n", " function set_focus() {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'mpl-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " continue;\n", " }\n", "\n", " var button = (fig.buttons[name] = document.createElement('button'));\n", " button.classList = 'mpl-widget';\n", " button.setAttribute('role', 'button');\n", " button.setAttribute('aria-disabled', 'false');\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", "\n", " var icon_img = document.createElement('img');\n", " icon_img.src = '_images/' + image + '.png';\n", " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", " icon_img.alt = tooltip;\n", " button.appendChild(icon_img);\n", "\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " var fmt_picker = document.createElement('select');\n", " fmt_picker.classList = 'mpl-widget';\n", " toolbar.appendChild(fmt_picker);\n", " this.format_dropdown = fmt_picker;\n", "\n", " for (var ind in mpl.extensions) {\n", " var fmt = mpl.extensions[ind];\n", " var option = document.createElement('option');\n", " option.selected = fmt === mpl.default_extension;\n", " option.innerHTML = fmt;\n", " fmt_picker.appendChild(option);\n", " }\n", "\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "};\n", "\n", "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", " // which will in turn request a refresh of the image.\n", " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", "};\n", "\n", "mpl.figure.prototype.send_message = function (type, properties) {\n", " properties['type'] = type;\n", " properties['figure_id'] = this.id;\n", " this.ws.send(JSON.stringify(properties));\n", "};\n", "\n", "mpl.figure.prototype.send_draw_message = function () {\n", " if (!this.waiting) {\n", " this.waiting = true;\n", " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " var format_dropdown = fig.format_dropdown;\n", " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", " fig.ondownload(fig, format);\n", "};\n", "\n", "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", " var size = msg['size'];\n", " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", " fig._resize_canvas(size[0], size[1], msg['forward']);\n", " fig.send_message('refresh', {});\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", " var x0 = msg['x0'] / fig.ratio;\n", " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", " var x1 = msg['x1'] / fig.ratio;\n", " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", " x0 = Math.floor(x0) + 0.5;\n", " y0 = Math.floor(y0) + 0.5;\n", " x1 = Math.floor(x1) + 0.5;\n", " y1 = Math.floor(y1) + 0.5;\n", " var min_x = Math.min(x0, x1);\n", " var min_y = Math.min(y0, y1);\n", " var width = Math.abs(x1 - x0);\n", " var height = Math.abs(y1 - y0);\n", "\n", " fig.rubberband_context.clearRect(\n", " 0,\n", " 0,\n", " fig.canvas.width / fig.ratio,\n", " fig.canvas.height / fig.ratio\n", " );\n", "\n", " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", "};\n", "\n", "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", " // Updates the figure title.\n", " fig.header.textContent = msg['label'];\n", "};\n", "\n", "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", "};\n", "\n", "mpl.figure.prototype.handle_message = function (fig, msg) {\n", " fig.message.textContent = msg['message'];\n", "};\n", "\n", "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", " // Request the server to send over a new figure.\n", " fig.send_draw_message();\n", "};\n", "\n", "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", " fig.image_mode = msg['mode'];\n", "};\n", "\n", "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", " for (var key in msg) {\n", " if (!(key in fig.buttons)) {\n", " continue;\n", " }\n", " fig.buttons[key].disabled = !msg[key];\n", " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", " if (msg['mode'] === 'PAN') {\n", " fig.buttons['Pan'].classList.add('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " } else if (msg['mode'] === 'ZOOM') {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.add('active');\n", " } else {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " }\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Called whenever the canvas gets updated.\n", " this.send_message('ack', {});\n", "};\n", "\n", "// A function to construct a web socket function for onmessage handling.\n", "// Called in the figure constructor.\n", "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", " var img = evt.data;\n", " if (img.type !== 'image/png') {\n", " /* FIXME: We get \"Resource interpreted as Image but\n", " * transferred with MIME type text/plain:\" errors on\n", " * Chrome. But how to set the MIME type? It doesn't seem\n", " * to be part of the websocket stream */\n", " img.type = 'image/png';\n", " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", " (window.URL || window.webkitURL).revokeObjectURL(\n", " fig.imageObj.src\n", " );\n", " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " } else if (\n", " typeof evt.data === 'string' &&\n", " evt.data.slice(0, 21) === 'data:image/png;base64'\n", " ) {\n", " fig.imageObj.src = evt.data;\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " }\n", "\n", " var msg = JSON.parse(evt.data);\n", " var msg_type = msg['type'];\n", "\n", " // Call the \"handle_{type}\" callback, which takes\n", " // the figure and JSON message as its only arguments.\n", " try {\n", " var callback = fig['handle_' + msg_type];\n", " } catch (e) {\n", " console.log(\n", " \"No handler for the '\" + msg_type + \"' message type: \",\n", " msg\n", " );\n", " return;\n", " }\n", "\n", " if (callback) {\n", " try {\n", " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", " callback(fig, msg);\n", " } catch (e) {\n", " console.log(\n", " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", " e,\n", " e.stack,\n", " msg\n", " );\n", " }\n", " }\n", " };\n", "};\n", "\n", "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", "mpl.findpos = function (e) {\n", " //this section is from http://www.quirksmode.org/js/events_properties.html\n", " var targ;\n", " if (!e) {\n", " e = window.event;\n", " }\n", " if (e.target) {\n", " targ = e.target;\n", " } else if (e.srcElement) {\n", " targ = e.srcElement;\n", " }\n", " if (targ.nodeType === 3) {\n", " // defeat Safari bug\n", " targ = targ.parentNode;\n", " }\n", "\n", " // pageX,Y are the mouse positions relative to the document\n", " var boundingRect = targ.getBoundingClientRect();\n", " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", "\n", " return { x: x, y: y };\n", "};\n", "\n", "/*\n", " * return a copy of an object with only non-object keys\n", " * we need this to avoid circular references\n", " * https://stackoverflow.com/a/24161582/3208463\n", " */\n", "function simpleKeys(original) {\n", " return Object.keys(original).reduce(function (obj, key) {\n", " if (typeof original[key] !== 'object') {\n", " obj[key] = original[key];\n", " }\n", " return obj;\n", " }, {});\n", "}\n", "\n", "mpl.figure.prototype.mouse_event = function (event, name) {\n", " var canvas_pos = mpl.findpos(event);\n", "\n", " if (name === 'button_press') {\n", " this.canvas.focus();\n", " this.canvas_div.focus();\n", " }\n", "\n", " var x = canvas_pos.x * this.ratio;\n", " var y = canvas_pos.y * this.ratio;\n", "\n", " this.send_message(name, {\n", " x: x,\n", " y: y,\n", " button: event.button,\n", " step: event.step,\n", " guiEvent: simpleKeys(event),\n", " });\n", "\n", " /* This prevents the web browser from automatically changing to\n", " * the text insertion cursor when the button is pressed. We want\n", " * to control all of the cursor setting manually through the\n", " * 'cursor' event from matplotlib */\n", " event.preventDefault();\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", " // Handle any extra behaviour associated with a key event\n", "};\n", "\n", "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", " if (event.key === this._key) {\n", " return;\n", " } else {\n", " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", " this._key = null;\n", " }\n", "\n", " var value = '';\n", " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", " if (name === 'download') {\n", " this.handle_save(this, null);\n", " } else {\n", " this.send_message('toolbar_button', { name: name });\n", " }\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", "\n", "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", "// prettier-ignore\n", "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", "\n", "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", "var comm_websocket_adapter = function (comm) {\n", " // Create a \"websocket\"-like object which calls the given IPython comm\n", " // object with the appropriate methods. Currently this is a non binary\n", " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", " ws.binaryType = comm.kernel.ws.binaryType;\n", " ws.readyState = comm.kernel.ws.readyState;\n", " function updateReadyState(_event) {\n", " if (comm.kernel.ws) {\n", " ws.readyState = comm.kernel.ws.readyState;\n", " } else {\n", " ws.readyState = 3; // Closed state.\n", " }\n", " }\n", " comm.kernel.ws.addEventListener('open', updateReadyState);\n", " comm.kernel.ws.addEventListener('close', updateReadyState);\n", " comm.kernel.ws.addEventListener('error', updateReadyState);\n", "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", " ws.send = function (m) {\n", " //console.log('sending', m);\n", " comm.send(m);\n", " };\n", " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", " var data = msg['content']['data'];\n", " if (data['blob'] !== undefined) {\n", " data = {\n", " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", " };\n", " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", "\n", "mpl.mpl_figure_comm = function (comm, msg) {\n", " // This is the function which gets called when the mpl process\n", " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", "\n", " var id = msg.content.data.id;\n", " // Get hold of the div created by the display call when the Comm\n", " // socket was opened in Python.\n", " var element = document.getElementById(id);\n", " var ws_proxy = comm_websocket_adapter(comm);\n", "\n", " function ondownload(figure, _format) {\n", " window.open(figure.canvas.toDataURL());\n", " }\n", "\n", " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", "\n", " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", " // web socket which is closed, not our websocket->open comm proxy.\n", " ws_proxy.onopen();\n", "\n", " fig.parent_element = element;\n", " fig.cell_info = mpl.find_output_cell(\"
\");\n", " if (!fig.cell_info) {\n", " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", " );\n", "};\n", "\n", "mpl.figure.prototype.handle_close = function (fig, msg) {\n", " var width = fig.canvas.width / fig.ratio;\n", " fig.cell_info[0].output_area.element.off(\n", " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", " var dataURL = fig.canvas.toDataURL();\n", " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", " // the notebook keyboard shortcuts fail.\n", " IPython.keyboard_manager.enable();\n", " fig.parent_element.innerHTML =\n", " '';\n", " fig.close_ws(fig, msg);\n", "};\n", "\n", "mpl.figure.prototype.close_ws = function (fig, msg) {\n", " fig.send_message('closing', msg);\n", " // fig.ws.close()\n", "};\n", "\n", "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", " // Turn the data on the canvas into data in the output cell.\n", " var width = this.canvas.width / this.ratio;\n", " var dataURL = this.canvas.toDataURL();\n", " this.cell_info[1]['text/html'] =\n", " '';\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Tell IPython that the notebook contents must change.\n", " IPython.notebook.set_dirty(true);\n", " this.send_message('ack', {});\n", " var fig = this;\n", " // Wait a second, then push the new image to the DOM so\n", " // that it is saved nicely (might be nice to debounce this).\n", " setTimeout(function () {\n", " fig.push_to_output();\n", " }, 1000);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'btn-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " var button;\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " continue;\n", " }\n", "\n", " button = fig.buttons[name] = document.createElement('button');\n", " button.classList = 'btn btn-default';\n", " button.href = '#';\n", " button.title = name;\n", " button.innerHTML = '';\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message pull-right';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "\n", " // Add the close button to the window.\n", " var buttongrp = document.createElement('div');\n", " buttongrp.classList = 'btn-group inline pull-right';\n", " button = document.createElement('button');\n", " button.classList = 'btn btn-mini btn-primary';\n", " button.href = '#';\n", " button.title = 'Stop Interaction';\n", " button.innerHTML = '';\n", " button.addEventListener('click', function (_evt) {\n", " fig.handle_close(fig, {});\n", " });\n", " button.addEventListener(\n", " 'mouseover',\n", " on_mouseover_closure('Stop Interaction')\n", " );\n", " buttongrp.appendChild(button);\n", " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", "};\n", "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", " if (event.target !== this) {\n", " // Ignore bubbled events from children.\n", " return;\n", " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", "mpl.figure.prototype._root_extra_style = function (el) {\n", " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (el) {\n", " // this is important to make the div 'focusable\n", " el.setAttribute('tabindex', 0);\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " } else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which === 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " fig.ondownload(fig, null);\n", "};\n", "\n", "mpl.find_output_cell = function (html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i = 0; i < ncells; i++) {\n", " var cell = cells[i];\n", " if (cell.cell_type === 'code') {\n", " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", " var data = cell.output_area.outputs[j];\n", " if (data.data) {\n", " // IPython >= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] === html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "};\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel !== null) {\n", " IPython.notebook.kernel.comm_manager.register_target(\n", " 'matplotlib',\n", " mpl.mpl_figure_comm\n", " );\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "Text(0.5, 1.0, '$y = e^{-x \\\\cdot sin(x)}$')" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x = np.linspace(0, 2, 100)\n", "\n", "fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,3)) \n", "ax1.plot(x, x, label='linear') \n", "ax2.plot(x, x**2, label='quadratic') \n", "ax3.plot(x, np.exp(-x*np.sin(x)), label='exponential') \n", "ax1.set_xlabel('x') \n", "ax1.set_ylabel('y', rotation=0) \n", "ax1.set_title('$y = x$') \n", "ax2.set_xlabel('x') \n", "ax2.set_ylabel('y', rotation=0) \n", "ax2.set_title('$y = x^2$') \n", "ax3.set_xlabel('x') \n", "ax3.set_ylabel('y', rotation=0) \n", "ax3.set_title('$y = e^{-x \\cdot sin(x)}$') " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Colors and marker shapes can be customized by specifying additional attributes:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = np.arange(0., 5., 0.2)\n", "\n", "# red dashes, blue squares and green triangles\n", "plt.plot(t, t, 'ro-', t, t**2, 'bs-', t, t**3, 'g^', t, 100*np.exp(-t), 'k--')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Many additional properties for 2D lines can be set for the plots by the setp function, whose reference can be found [here](https://matplotlib.org/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D).\n", "\n", "An example of the setp usage is reported in the following cell:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[None, None, None, None]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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lio6O9nU5AADUjFdekdatc9t33CGdeaa1coJBmOM4ju0iKisvL0+xsbHKzc1VDMdcAwBsO3hQatNG+v57065fX9q6VSoz9xKV//zm7B4AAE7WX/7iBhTJTJ4loJw0QgoAACcjK0uaPNltJyR4z01BlRFSAAA4GQ8/LB044LYfe8zc7sFJI6QAAFBV334rvfii2z7rLGnAAHv1BBlCCgAAVTVypPTrPmCSzNwUNm7zGUIKAABV8e675vK48krpkkvs1ROECCkAAFRWcbF0//1uOyJCmjLFXj1BipACAEBlzZ0rrV/vtu++W2rXzl49QYqQAgBAZezfLz30kNuOjpYmTLBXTxAjpAAAUBlTp5q9UTzGjJGaNbNXTxAjpAAAUFF79kjTprntxETpvvvs1RPkCCkAAFTUvfeac3o80tOlqCh79QQ5QgoAABWxdKn0+utu+9xzpf797dUTAggpAACcSH6+NHSo2w4Pl5591nxFteHdBQDgRNLTpR073PbQodLZZ9urJ0QQUgAAOJ7Nm71POW7eXHr0UXv1hBBCCgAAx+I40uDB0uHDbt8TT0gxMfZqCiGEFAAAjuXVV6UPPnDbvXtLN9xgr54QQ0gBAOBofvlFGj7cbUdGSs88I4WFWSsp1BBSAAA4mgcflH780W2PGSMlJ9urJwQRUgAAONKaNdKsWW77N78xIQU1ipACAEBZxcXSoEFm0qzHM89IdevaqylEEVIAACjr2WeltWvd9g03SKmp9uoJYYQUAAA8srKkcePcdnS0WXIMKwgpAAB4jBwp5ea67UcflRIS7NUT4ggpAABIZj+Uv/3NbXfoIA0ZYq0cEFIAAJAKCszOsh5hYWZuSq1a9moCIQUAAE2bZs7o8fjjH6UuXezVA0mEFABAqNu+XZo0yW03bSplZNirB6UIKQCA0OU40rBh0qFDbt+0aVLDhvZqQilCCgAgdC1aJC1d6rYvvFAaMMBePfBCSAEAhKb9+6V773XbtWqZrfA5QNBvEFIAAKFp/Hhpzx63PWKEdMYZ1spBeYQUAEDoWb9emjHDbbdqJT30kLVycHSEFABAaCkpkf70J3OQoMdTT0n169urCUdFSAEAhJZ586RPP3XbV19tLvgdQgoAIHTs3SuNGuW269UzoyjwS4QUAEDoGD3aBBWPhx8281HglwgpAIDQ8Omn0osvuu127aT77rNXD06IkAIACH6HD5vJsmXNni3VqWOnHlQIIQUAEPyeesosO/YYONDsLgu/RkgBAAS3776THnnEbTdsKE2daq8eVBghBQAQvEpKpNtvlw4ccPsef9ycdAy/R0gBAASvJ5+UPv7YbffsKd11l7VyUDmEFABAcPrPf6SxY912gwbS3LlSOB99gYLfKQBA8CkqMpNjCwrcvr/8RTrtNGslofIIKQCA4DN1qvTll2770kulu++2Vw+qhJACAAgu33zjvZonNlZ64QUpLMxeTagSQgoAIHgUFprbPIcPu31PPy21aGGvJlQZIQUAEDwmTZLWrXPbfftKt95qrRycnGoJKd9//71uvfVWNW7cWPXq1VOHDh20du3a0p87jqPx48crISFBUVFR6tmzpzZs2FAdpQAAQsWaNVJ6uttu3Fh67jlu8wQwn4eUnJwcnX/++apdu7befvttbdy4UX/5y190yimnlD5mypQpmj59umbOnKnVq1crPj5evXv31r59+3xdDgAgFBw6JP3hD1Jxsds3e7YUF2evJpy0Wr5+wcmTJysxMVFz584t7TutzJIvx3E0Y8YMjRs3Ttdee60kaf78+YqLi9OCBQt0zz33+LokAECwe/hhadMmt33jjdL119urBz7h85GUJUuWqHPnzrr++uvVrFkznX322Xr++edLf75jxw5lZWUpNTW1tC8yMlI9evTQqlWrjvqaBQUFysvL87oAAJAkrVolTZvmtuPipGeesVcPfMbnIWX79u2aPXu2kpOT9e6772rQoEH685//rJdeekmSlJWVJUmKO2IILi4urvRnR8rIyFBsbGzplZiY6OuyAQCB6MABs5rHcdy+558381EQ8HweUkpKStSxY0elp6fr7LPP1j333KO7775bs2fP9npc2BETmRzHKdfnMXbsWOXm5pZeu3fv9nXZAIBANHastG2b2x44UOrTx1498Cmfh5TmzZurXbt2Xn1t27bVrl27JEnx8fGSVG7UJDs7u9zoikdkZKRiYmK8LgBAiPvgA7MHikeLFtKMGdbKge/5PKScf/752rx5s1ffli1b1KpVK0lSUlKS4uPjtXz58tKfFxYWasWKFerWrZuvywEABKO8POmOO7z7XnxRKrOSFIHP56t77rvvPnXr1k3p6em64YYb9OWXX2rOnDmaM2eOJHObJy0tTenp6UpOTlZycrLS09NVr1499e/f39flAACC0YgR0s6dbvuee6QyCzIQHMIcp+xsI9946623NHbsWG3dulVJSUkaPny47i5zsJPjOJowYYKee+455eTkqEuXLnrmmWeUkpJSodfPy8tTbGyscnNzufUDAKHm7belK65w20lJ0r//LUVH26sJFVLZz+9qCSnVjZACACEqJ0dKSZF++MHt++gjqUcPayWh4ir7+c3ZPQCAwPHnP3sHlLQ0AkoQI6QAAALDokXSK6+47TZtvM/qQdAhpAAA/N9PP5nJsR7h4dL8+VJUlL2aUO0IKQAA/+Y40p/+ZIKKx6hR0nnn2asJNYKQAgDwbwsXSv/3f247JUUaP95aOag5hBQAgP/KzJSGDHHbtWqZ2zyRkfZqQo0hpAAA/JPjSHffbZYdezz4oNSxo72aUKMIKQAA/zR3rvSvf7ntjh2lBx6wVw9qHCEFAOB/Nm2Shg1z23XqmNs8tWvbqwk1jpACAPAvBw5I118vHTzo9k2caCbMIqQQUgAA/mXYMGnDBrfdu7c0cqS9emANIQUA4D/mzzdzUTwSEswusxER9mqCNYQUAIB/2LDBbNrmER4uvfqq1KyZvZpgFSEFAGCfZx5Kfr7bN2mSdOGF9mqCdYQUAIBdjiMNHmxW9Hhcdpk0erS9muAXCCkAALvmzpVeesltn3qq9PLL5nYPQhp/AgAA9qxf773tfUSEOaunSRN7NcFvEFIAAHbs32/moRw65PY99pjUvbu9muBXCCkAgJrnONKgQdLmzW7fFVdI999vryb4HUIKAKDmvfCC9Le/ue3ERDMvhXkoKIM/DQCAmvXvf3ufy1OrlvTaa1LjxvZqgl8ipAAAas6+fdINN0gFBW5fRobUtau9muC3CCkAgJrhONIf/yht2eL29ekjjRhhryb4NUIKAKBmPPecWV7s0bKlNG+eFBZmrST4N0IKAKD6ff21lJbmtj3zUBo1slYS/B8hBQBQvfLyys9DmTJFOu88ezUhIBBSAADVx3Gku+6Stm1z+/r18x5VAY6BkAIAqD6zZ0v/+IfbPu006a9/ZR4KKoSQAgCoHmvXSvfd57Zr15b+/nepYUN7NSGgEFIAAL6Xm2vmoRQWun3TpknnnGOvJgQcQgoAwLccR7rjDmn7drfv97/33mUWqABCCgDAt2bOlF5/3W23bi29+CLzUFBphBQAgO98+aX3DrJ16ph5KLGx9mpCwCKkAAB8Y88es7z48GG3b/p0qVMnayUhsBFSAAAnb/9+cw5PZqbbd/310uDB9mpCwCOkAABOTkmJNGCAtG6d29ehA/uh4KQRUgAAJ+eBB6TFi912fLz05ptSgwbWSkJwIKQAAKpu3jxp8mS3XbeutGSJ1KKFtZIQPAgpAICq+fhj6Y9/9O576SU2bIPPEFIAAJX33XfSNdd4r+SZONFMlgV8hJACAKic3FyzkmfvXrevf3/pwQft1YSgREgBAFRcUZE5k2fTJreva1d2lEW1IKQAACruvvukZcvcdsuW0qJFZsIs4GOEFABAxTzzjDmXx6NBA+mtt6S4OHs1IagRUgAAJ7ZsmXTvvW47PFxauFA680x7NSHoEVIAAMe3aZNZtVNc7PZNmyZdeaW9mhASCCkAgGP7+WfpqqukvDy37+67pbQ0ayUhdBBSAABHV1AgXXuttH2723fxxWZuCit5UAMIKQCA8hxHGjTI7CrrkZws/eMfUu3a9upCSCGkAADKmzrVnMvj0bChWcnTqJG1khB6qj2kZGRkKCwsTGll7l86jqPx48crISFBUVFR6tmzpzZs2FDdpQAAKmLxYmnMGLddq5b0z39KbdpYKwmhqVpDyurVqzVnzhy1b9/eq3/KlCmaPn26Zs6cqdWrVys+Pl69e/fWvn37qrMcAMCJfP21dMst5naPx6xZZi4KUMOqLaTs379ft9xyi55//nk1bNiwtN9xHM2YMUPjxo3Ttddeq5SUFM2fP18HDx7UggULqqscAMCJZGZKV18tHTzo9t13n1nNA1hQbSFlyJAhuvLKK9WrVy+v/h07digrK0upqamlfZGRkerRo4dWrVp11NcqKChQXl6e1wUA8KGDB6W+faU9e9y+K680c1MAS2pVx4suXLhQX331lVavXl3uZ1lZWZKkuCO2UY6Li9POnTuP+noZGRmaMGGC7wsFAEglJdJtt0ll/84+80zp1VeliAhrZQE+H0nZvXu37r33Xr3yyiuqe5wDp8KOWGPvOE65Po+xY8cqNze39Nq9e7dPawaAkOU4ZmO2f/zD7WvWTHrzTSk62lpZgFQNIylr165Vdna2OnXqVNpXXFyslStXaubMmdq8ebMkM6LSvHnz0sdkZ2eXG13xiIyMVGRkpK9LBQA89JD09NNuOzLSrO5p1cpaSYCHz0dSLrnkEq1fv17r1q0rvTp37qxbbrlF69atU+vWrRUfH6/ly5eXPqewsFArVqxQt27dfF0OAOBYJk+WHnvMbYeHS6+8InXtaq8moAyfj6RER0crJSXFq69+/fpq3LhxaX9aWprS09OVnJys5ORkpaenq169eurfv7+vywEAHM2sWd57oUjSCy9I111npx7gKKpl4uyJjBo1Svn5+Ro8eLBycnLUpUsXLVu2TNHc/wSA6vfyy9KQId59Tz4p3X67nXqAYwhznLI79gSGvLw8xcbGKjc3VzExMbbLAYDA8frr0vXXmxU9HpMmSePG2asJIaOyn9+c3QMAoeLdd6WbbvIOKKNGSQ88YK8m4DgIKQAQCj75RLrmGunwYbfvT3+SHn9cOsb2D4BthBQACHZr15rdY/Pz3b4BA6SZMwko8GuEFAAIZhs2SJdeKpU9TuSaa6S//tUsOQb8GH9CASBYffed1Lu3tHev29e7t9nuvpaVxZ1ApRBSACAY7dkj9eplTjb26N5dWrTI7CoLBABCCgAEm+xsE1D++1+3r2NH6a23pPr1rZUFVBYhBQCCSU6OlJoq/XpOmiSpXTuz/Dg21l5dQBUQUgAgWOzfb1bx/Pvfbl/r1tLy5VKTJvbqAqqIkAIAweDQIalfP+mzz9y+hATpvffMVyAAEVIAINAdPizdcIP0/vtuX5MmJqAkJdmrCzhJhBQACGTFxdLAgdKbb7p9sbHSsmVS27b26gJ8gJACAIHKcczW9q++6vbVqyctXSqdfba9ugAfIaQAQCByHGnkSOn5592+OnWkN96QunWzVxfgQ2w5CACBprhYGjpUevZZty8iQvr7383+KECQIKQAQCA5fFj6wx+khQvdvrAw6aWXpL597dUFVANCCgAEioMHpeuvN3NOPCIizGGB/fvbqwuoJoQUAAgEublSnz7Sxx+7fXXqSK+9ZvZHAYIQIQUA/N1PP0mXXip9/bXbV7++tGSJdPHF9uoCqhkhBQD82a5d5c/iadRIevtt6dxz7dUF1ABCCgD4qy1bzGqd3bvdvubNzVk8Z5xhry6ghrBPCgD4o6+/lrp39w4orVtLn35KQEHIIKQAgL/5+GOpZ08zF8UjJUX65BPO4kFIIaQAgD9ZutRMks3Lc/vOO09ascLc6gFCCCEFAPzFa6+ZDdny892+Xr3MHJRGjezVBVhCSAEAf/Dcc9LNN0tFRW7ftddKb70lNWhgry7AIkIKANj2+OPSoEHm0ECP2283IyuRkfbqAiwjpACALY4jjR4tjR3r3X/ffdILL0i12CUCoY3/AwDAhuJiafBgac4c7/5HH5XGjTOHBgIhjpACADWtsFAaMED6+9+9+59+Who61E5NgB8ipABATTp4UPr976V33nH7IiKkefOkW2+1VhbgjwgpAFBTMjOla66RvvjC7YuMlP7xD3PCMQAvhBQAqAlffmkCyg8/uH3R0eYk4549rZUF+DNW9wBAdXv5ZenCC70DSpMm0gcfEFCA4yCkAEB1KS6W7r9f+sMfpIICt799e2n1aqlzZ3u1AQGA2z0AUB1ycswOsu++691/3XVmkmz9+lbKAgIJIykA4Gv/+Y/UpUv5gDJxoll2TEABKoSRFADwpaVLzQhK2VOMGzQw81L69bNWFhCIGEkBAF9wHGnyZOmqq7wDSlKS9NlnBBSgChhJAYCTlZ8v3XWXtGCBd//FF5vbO40b26kLCHCMpADAydizR7rggvIBZdgws6ssAQWoMkZSAKCqVq2Srr1W+vFHt692bWn2bOnOO+3VBQQJRlIAoCr++lfpoou8A0qzZtKHHxJQENiKiqQVK6SRI6X9+62WwkgKAFRGUZE0YoT01FPe/R07SosXS4mJVsoCTkpenrk9uWSJWaGWk2P6zz/fHOdgCSEFACpq717pxhul99/37r/5ZumFF6R69ezUBVTFzp3Sm2+aYPLRR9Lhw+Ufs2QJIQUA/N6GDdLVV0vbt7t9YWFSRoY0apT5HvBnJSXS2rUmeCxZIn3zzfEfHxZmgrlFhBQAOJHXXjNLjMven4+JMSt6rrzSXl3AieTnm4MslywxoyaZmcd/fL16Umqq1KeP+bMdF1czdR4DIQUAjiUvTxo61OwWW9ZvfmP+0m/b1k5dwPH8+KP0r3+ZP6PLl0sHDx7/8c2bm1By9dVmb5+oqJqpswIIKQBwNJ9+Kt16q/Tf/3r3p6ZKCxdKDRtaKQsox3Gk9etNMHnzTenzz03f8Zx1lhtMOnWSwv1zsS8hBQDKOnxYevRR6bHHzD18j4gI6cEHzVWLvzph2f795jbOv/5lVuPs2XP8x9euLfXsaUJJnz5Sq1Y1UubJ8nl0ysjI0DnnnKPo6Gg1a9ZM/fr10+bNm70e4ziOxo8fr4SEBEVFRalnz57asGGDr0sBgMrZtk3q3t2ElLIBpXVr6eOPpfHjCSiwZ+tW6cknpUsvNTsZ9+0rzZlz7IDSsKF0yy1mTtVPP0nLlpnblwESUKRqGElZsWKFhgwZonPOOUdFRUUaN26cUlNTtXHjRtX/9XjyKVOmaPr06Zo3b57atGmjSZMmqXfv3tq8ebOio6N9XRIAHJ/jmM3Z7r1XOnDA+2e33Wb2ROHvJtS0ggJp5Up3tGTr1hM/5ze/MaMlV19t9jgJ8FAd5jgnunF1cn766Sc1a9ZMK1as0IUXXijHcZSQkKC0tDSNHj1aklRQUKC4uDhNnjxZ99xzzwlfMy8vT7GxscrNzVVMTEx1lg8g2O3dK919t7RokXd/w4bmX6nXXWenLoSmPXtMIFm6VHrvvfKh+Ui1a0s9epiVOFdcIbVpUzN1VlFlP7+rPWLl5uZKkho1aiRJ2rFjh7KyspSamlr6mMjISPXo0UOrVq06akgpKChQQUFBaTuv7DHoAFBVy5dLAweWX5Z58cXS/PlSixZ26kLoKCoyE12XLjUjJifau0SSTj3VBJIrrpAuuSSoR/mqNaQ4jqPhw4ere/fuSklJkSRlZWVJkuKOWHsdFxennTt3HvV1MjIyNGHChOosFUAoOXRIeuAB6YknvPtr15bS06Xhw/12tQOCwO7d0rvvmuu996Rffjn+48PDpa5dTSi58kqpffuQ2TywWkPK0KFD9c033+iTTz4p97OwI95gx3HK9XmMHTtWw4cPL23n5eUpkfMxAFTFt99K/fubJZtltW1rNmfr0MFKWQhi+flmboknmGzceOLnNG4sXXaZCSWpqaYdgqotpAwbNkxLlizRypUr1aLMkGl8fLwkM6LSvHnz0v7s7OxyoysekZGRioyMrK5SAYSCkhLp6ael0aPNhMSyhg6Vpkzxq02sEMAcR9q0yQSSd94xAeXQoRM/7+yz3bkl555rlr2HOJ+HFMdxNGzYMC1atEgfffSRkpKSvH6elJSk+Ph4LV++XGeffbYkqbCwUCtWrNDkyZN9XQ4AmDknt91mlmCW1ayZNHeu+VAATkZOjrl14xktOdG+JZKZnN2rl1lSfPnlUkJC9dcZYHweUoYMGaIFCxbojTfeUHR0dOkclNjYWEVFRSksLExpaWlKT09XcnKykpOTlZ6ernr16ql///6+LgdAqFu82Jy7c+RBaVddJb34ogkqQGUVF0urV7uh5IsvvPfWOZrwcKlLFxNKLr1UOuccRktOwOchZfbs2ZKknj17evXPnTtXt912myRp1KhRys/P1+DBg5WTk6MuXbpo2bJl7JECwHdyc6X775eef967PypK+stfpEGDQmbyIXzAccwJ2O+9Z6733zejJyfSooUJJJddZlbicJxCpVT7PinVgX1SAByT40h/+5s0cqQ5aK2sjh3Nz373Ozu1IbD89JPZet4TTI48x+lo6tY1+5Z4RkvatiUMl+F3+6QAQI3ZsEEaMkRascK7PyxMGjVKmjhRqlPHTm3wfwcOSJ984oaSdesq9rx27dxQcuGFTMD2IUIKgMC3f78JIE88YTbHKuv006UXXjCHqwFlFRVJa9a4oeSzz6TCwhM/r3Fjs+FfaqoJJmyJUW0IKQACl+NIr78upaWVX00RGSmNHWuWHNeta6U8+BnHkTZvdkPJhx9KFdnBPCpKuuACsxKnVy/prLPY7K+GEFIABKZt26Rhw8w+FEe64gpzKODpp9d8XfAfjiPt2CF99JEJJB9+KH3//YmfFx5uVt706mUmu3btStC1hJACILDk50uPPy5Nnlx+U7bERHOUfb9+TFYMVTt3mjDiCSa7dlXseb/9rTtS0rOndMop1VgkKoqQAiBwLF1qRk+2b/fur11bGjFCevBBqX59O7XBjt27vUdKKrICR5Li480oiWe0hHklfomQAsD/7dxp5p0sXlz+ZxdfLD3zDMuKQ8X337uh5KOPpO++q9jzYmPNypuLL5Z69zYrchht83uEFAD+q7BQmj7drNzJz/f+WfPm5mc33siHTTDLzDRhxBNMtm6t2POio00ouegic/umQwd2dw1AhBQA/umDD8yeJ//5j3d/RIS55TNhgsRmjsHFs6vrypXSxx+ba9u2ij23QQOzAqdnTxNMzj5bqsVHXKDjdxCAf8nMNPNLXn21/M+6dZNmzTJLQBH4Skqkb7/1DiWZmRV7br16Uvfu7khJp05mbhKCCiEFgH/Yu1eaNs0sHT540PtnTZpIU6ZIAweyP0UgKyw0m6d5Asmnn0q//FKx50ZFSeef746UnHMOoSQEEFIA2JWba+aWPPGEtG+f98/CwqQ//lFKT5caNbJTH6pu/36zi6snlHzxRfm5RccSHW1Gzi680NzGOfdcs0EfQgohBYAd+/ebUZNp045+mmynTtLs2eZfzAgMmZnSqlXm+vhj6auvpOLiij23aVMTRjyhpH175pSAkAKghuXnm3klkyebU2aP1KaNNH68dMMNrMbwZ0VF0vr1bihZtarie5RI0mmneYeSNm1YpYVyCCkAakZBgfT88+bWzdEmR552mvTII9Ktt/IvaH+UkyN9/rkbSL74wpwaXFFnnOEdSlq0qL5aETT4mwBA9Tp8WJo3T3r0UbM76JFatDA7xd5+u1SnTo2Xh6NwHGnLFu9Rko0bK/78WrWkjh3dUHL++ebkYKCSCCkAqkdxsfS3v5n9TI7cxl6S4uKkBx4wE2M5vM2uffvMqpuyIyX/+1/Fn9+0qZnk6rk6dTKrcYCTREgB4FslJdI//mHmlRy5EZtk/kU9erTZqK1evRovL+QVFZm9Sb74QvryS/N140YzelIRYWFSSop3KDn9dOaToFoQUgD4huNIb7whPfywmVB5pNhYaeRI6d57zfJSVD/HMacAe8LIF19Ia9dWfBmwZH6vzjvPDSRdupjfS6AGEFIAnJziYunNN6XHHjO3DI7UoIE5HHD4cKlhwxovL6Tk5kqrV3uPkvz4Y+Ve4/TTvUdJzjiDVVawhpACoGpycqQXXzQnEB9t6WlUlDR0qDRqlNkxFr5VUCB9840Jhp5RkqPdXjueU04xm6Sde64ZITn3XKlZs2opF6gKQgqAyvn2W+npp6WXXz76bYM6daRBg6SxY6X4+JqvLxgVFJhbaGvXmlCydq35fTh8uOKvUbu2OfOoSxc3kCQnc8wA/BohBcCJeW7pPPWU9OGHR39M3brmbJ1x46TExJqtL5iUDSSeUFLZQCKZ2zaeMNKli9ShA6uoEHAIKQCO7X//c2/p7Nx59MckJkqDB0t33cVtncoqKDABpOwIyfr1lQ8kjRq5YaRLF3OUAL8XCAKEFADlrV9vbum88sqxV4JceKH05z9LffuyQ2xFHDhg3td166SvvzaB5JtvKh9IYmPNPiSdOkmdO5uvrVuzBBhBib9ZABjFxdKSJSacHO+Wzi23SMOGmfkNOLqsLBNGyl5btlR8LxKP2Fizc6snjHTqxJ4kCCmEFCDU/e9/0gsvmEP/jndLZ8gQc0uH7c1dxcXS1q3lA0lll/1KUkyMG0Q8oyStWzOxFSGNkAKEIscxW6DPnXv8Wzo9ephbOldfzS2dsrdrPNc331RuYzSPmBjp7LPdEZLOnc0ICYEE8BLif+sAIebbb6UFC6RXXz363iYSt3SKiszoyPr15vr2W/N1+/bK366RpJYtzcqastdpp3HLBqgAQgoQ7P77XxNKXn316NvVe7Rs6a7SCYVbOo4j7dlTPoxs2iQVFlb+9WrVMruzduhgwp3na6NGvq4cCBmEFCAYZWdLf/+7CSarVh3/sT17mlGTYL6lk5PjHUQ83+fmVu31YmPLj460bStFRvquZgCEFCBo5OVJixeb2znvvWcmdR5Lhw5S//7SjTeaEZRgsXevGQnZuNF83bTJhJHvv6/a64WHm11ZzzzTvbhdA9QYQgoQyA4dkt5+2wSTt94y7WM5/XQTTG6+2fyrP1A5jpSZ6QaRsoEkO7vqr3vqqSaEpKS4geR3vzNnEAGwgpACBJriYrOPyYIF0uuvH/+WRXy8dNNNJpicc05g/eu/pMTMpykbRDxf8/Kq/rqxsd5BJCXFXMwdAfwOIQUIBD/9JC1fLr3zjvTuu8cfMYiNlX7/ezNq0rOnFBFRY2VWSW6u2eis7PWf/5jreCNDJ1KvnhkJadvW+3ZNixaBFdaAEEZIAfxRUZH05ZcmlLzzjjnX5XjLX+vWlfr0McHk8sv9bwJnQYH03XcmgGze7B1ITuYWjSSdcorUrp0JI23but+3bMm+I0CAI6QA/mLPHjNK8s47ZuLrL78c//EREVLv3iaY9O1rNgizqbhY2r27/KjIli1mJ9uSkpN7/fj48kGkXTspLo6RESBIEVIAWwoKpE8+cUdLvv32xM+pX1+6+GIzWnLddVLTptVfZ1mHDkk7dphRke3bzVfPtWOH+TWdjPBwKSlJatOmfCBp2NA3vwYAAYOQAtSkbdvcUPLhh9LBgyd+Tvv20qWXSpddJp1/fvXeynEcc5aPJ3iUDSLbt5ulvFXZdfVIzZubIHLk1bq1VKfOyb8+gKBASAGqS0mJudXx+efSZ59J779vPuxP5JRTpNRUE0pSU83SWF86dEjatcusnNm503s0ZPv2qm9wdqSYGO8A8tvfmq/JyVJ0tG/+GwCCGiEF8JX//U/64gsTSr74wlwnmlcimfkU55xjQslll5nvT2bn1wMHTPjwhJAjv2ZlVf21jxQTY/ZfOf10MwpSNpQ0a8ZcEQAnhZACVEVRkdla/fPP3WvLloo/Py7ODSW9eklNmlTseY5jRjrKjoQc+fXnn6vwCzqOU091Q4gnkHiuRo0IIgCqDSEFqIjMTO9AsmZNxeaTeNSvL517rnsbp3378stjHcecMbN7t1npc7Rr924zUuJLdeqYyapHBpDWrU0/O64CsISQApRVXGzmZWzcaK5160wo2bWrcq/Ttq103nnu1a6dCSCeoLFq1dFDSH6+739NdetKrVqZ67TTvL+2aiUlJLCfCAC/REhBaDp82EwU3bDBDSQbN5qNxiq7jDY21oSQpCSzJDgqygSSzEzphRekSZPMPJDDh6vn11K/vgkdZYNH2TDC3BAAAYqQguBWUCBt3eodRDZuNPNHqhIawsKkBg3MLZLCQmn/fjNH5LPPzOVrtWubOSEtWnhfiYluEGFeCIAgRUhB4DtwwNxC2bXLXDt2uIfRbdtmbuH4iuNI+/b55rUiI8uHjyOvZs24FQMgZBFS4N9KSqQff3QDyH//6+7nsWuX9MMPvgsNvhIeblbvNG9urvh49/vERDeANGnCCAgAHAchBTXPMxqRlWWWzO7ebXYy3bXLTB7NyjLLaH/5xYyS+GKHU1+IjHTDRtmrbAhp3tzMS/H3k4cBIABYDSmzZs3S1KlTlZmZqTPOOEMzZszQBRdcYLMkHE9JiVl2e+CAmYtx4ICUl2fmZOzda0Y1srLMqbZ795rJo7m55rEHD5qdTg8f9u3tl5PVsKG5pdK0qfu17PfNmrkh5JRTGPkAgBpkLaS89tprSktL06xZs3T++efrueee0+WXX66NGzeqZcuWtsoKXCUlJgQcOmSWsR7v+/x8M5KRl2d2Sc3JMd/n5ZlAsW+fCRWeYFFQYK6iItu/yuMLDzdBonHj8kHjaF+bNDETUwEAfinMceyMpXfp0kUdO3bU7NmzS/vatm2rfv36KSMj47jPzcvLU2xsrHJzcxXjy+PpX3jB3GIoKTG3GDxfK/L9sfqKiszogefytIuKyn/vuYqLj/61sLD8a3l+XlLiu/fBH9Subfb3iIkxq1eaNjX7ebRqZUY1GjUyV+PG7vcxMUwyBQA/VtnPbysjKYWFhVq7dq3GjBnj1Z+amqpVq1aVe3xBQYEKyuxdkZeXVz2FDR5cfXtZhDJP4Khf3yzfjY01t1nK3k5JSDC7nLZta0ZDCBsAEPKshJSff/5ZxcXFiouL8+qPi4tT1lEOP8vIyNCECRNqqjwcKTzc7AtSt665oqJM4Khf3wSOuDgTNDz7ecTHm1spTZqYwMEkUgBAFVidOBt2xCREx3HK9UnS2LFjNXz48NJ2Xl6eEhMTq6Mg37+mr4WHm6tWLfPhHxFhRipq1zZ9deq4V2Ske0VFuSGjXj0zktGokQkZDRpI0dHmq+fytOvXN68FAEANsxJSmjRpooiIiHKjJtnZ2eVGVyQpMjJSkZGR1V/Yyy+biaNhYW4YCAtzr7J9x/o+LMwEB0/g8YSFssEhIsI83vO1ot/XqhUYQQoAAB+wElLq1KmjTp06afny5brmmmtK+5cvX66+ffvaKMm44QZ7/20AAODF2u2e4cOHa8CAAercubO6du2qOXPmaNeuXRo0aJCtkgAAgB+xFlJuvPFG7d27VxMnTlRmZqZSUlK0dOlStWrVylZJAADAj1jbJ+VkVNs+KQAAoNpU9vObzSgAAIBfIqQAAAC/REgBAAB+iZACAAD8EiEFAAD4JUIKAADwS4QUAADglwgpAADALxFSAACAX7K2Lf7J8GySm5eXZ7kSAABQUZ7P7Ypudh+QIWXfvn2SpMTERMuVAACAytq3b59iY2NP+LiAPLunpKREP/zwg6KjoxUWFubT187Ly1NiYqJ2797NuUA1iPfdDt53O3jf7eB9t6Ps+x4dHa19+/YpISFB4eEnnnESkCMp4eHhatGiRbX+N2JiYvhDbAHvux2873bwvtvB+26H532vyAiKBxNnAQCAXyKkAAAAv0RIOUJkZKQeeeQRRUZG2i4lpPC+28H7bgfvux2873aczPsekBNnAQBA8GMkBQAA+CVCCgAA8EuEFAAA4JcIKQAAwC8RUsqYNWuWkpKSVLduXXXq1Ekff/yx7ZKC3sqVK9WnTx8lJCQoLCxMixcvtl1S0MvIyNA555yj6OhoNWvWTP369dPmzZttlxX0Zs+erfbt25duaNW1a1e9/fbbtssKORkZGQoLC1NaWprtUoLa+PHjFRYW5nXFx8dX+nUIKb967bXXlJaWpnHjxunrr7/WBRdcoMsvv1y7du2yXVpQO3DggM466yzNnDnTdikhY8WKFRoyZIg+//xzLV++XEVFRUpNTdWBAwdslxbUWrRooccff1xr1qzRmjVrdPHFF6tv377asGGD7dJCxurVqzVnzhy1b9/edikh4YwzzlBmZmbptX79+kq/BkuQf9WlSxd17NhRs2fPLu1r27at+vXrp4yMDIuVhY6wsDAtWrRI/fr1s11KSPnpp5/UrFkzrVixQhdeeKHtckJKo0aNNHXqVN155522Swl6+/fvV8eOHTVr1ixNmjRJHTp00IwZM2yXFbTGjx+vxYsXa926dSf1OoykSCosLNTatWuVmprq1Z+amqpVq1ZZqgqoGbm5uZLMByZqRnFxsRYuXKgDBw6oa9eutssJCUOGDNGVV16pXr162S4lZGzdulUJCQlKSkrSTTfdpO3bt1f6NQLygEFf+/nnn1VcXKy4uDiv/ri4OGVlZVmqCqh+juNo+PDh6t69u1JSUmyXE/TWr1+vrl276tChQ2rQoIEWLVqkdu3a2S4r6C1cuFBfffWVVq9ebbuUkNGlSxe99NJLatOmjX788UdNmjRJ3bp104YNG9S4ceMKvw4hpYywsDCvtuM45fqAYDJ06FB98803+uSTT2yXEhJ++9vfat26dfrll1/0f//3fxo4cKBWrFhBUKlGu3fv1r333qtly5apbt26tssJGZdffnnp92eeeaa6du2q008/XfPnz9fw4cMr/DqEFElNmjRRREREuVGT7OzscqMrQLAYNmyYlixZopUrV6pFixa2ywkJderU0W9+8xtJUufOnbV69Wo9+eSTeu655yxXFrzWrl2r7OxsderUqbSvuLhYK1eu1MyZM1VQUKCIiAiLFYaG+vXr68wzz9TWrVsr9TzmpMj8xdGpUyctX77cq3/58uXq1q2bpaqA6uE4joYOHarXX39dH3zwgZKSkmyXFLIcx1FBQYHtMoLaJZdcovXr12vdunWlV+fOnXXLLbdo3bp1BJQaUlBQoE2bNql58+aVeh4jKb8aPny4BgwYoM6dO6tr166aM2eOdu3apUGDBtkuLajt379f27ZtK23v2LFD69atU6NGjdSyZUuLlQWvIUOGaMGCBXrjjTcUHR1dOoIYGxurqKgoy9UFrwceeECXX365EhMTtW/fPi1cuFAfffSR3nnnHdulBbXo6Ohy863q16+vxo0bMw+rGo0cOVJ9+vRRy5YtlZ2drUmTJikvL08DBw6s1OsQUn514403au/evZo4caIyMzOVkpKipUuXqlWrVrZLC2pr1qzRRRddVNr23KscOHCg5s2bZ6mq4OZZZt+zZ0+v/rlz5+q2226r+YJCxI8//qgBAwYoMzNTsbGxat++vd555x317t3bdmmAz+3Zs0c333yzfv75ZzVt2lTnnXeePv/880p/prJPCgAA8EvMSQEAAH6JkAIAAPwSIQUAAPglQgoAAPBLhBQAAOCXCCkAAMAvEVIAAIBfIqQAAAC/REgBAAB+iZACAAD8EiEFAAD4JUIKAADwS/8PHq8Xqgwu4fgAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ln = plt.plot(t, t**3, t, t**2)\n", "plt.setp(ln,color='r', linewidth=2.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The list of properties available for the object can also be displayed by calling the setp function on the object:" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array\n", " alpha: scalar or None\n", " animated: bool\n", " antialiased or aa: bool\n", " clip_box: `.Bbox`\n", " clip_on: bool\n", " clip_path: Patch or (Path, Transform) or None\n", " color or c: color\n", " dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}\n", " dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}\n", " dashes: sequence of floats (on/off ink in points) or (None, None)\n", " data: (2, N) array or two 1D arrays\n", " drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'\n", " figure: `.Figure`\n", " fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}\n", " gid: str\n", " in_layout: bool\n", " label: object\n", " linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}\n", " linewidth or lw: float\n", " marker: marker style string, `~.path.Path` or `~.markers.MarkerStyle`\n", " markeredgecolor or mec: color\n", " markeredgewidth or mew: float\n", " markerfacecolor or mfc: color\n", " markerfacecoloralt or mfcalt: color\n", " markersize or ms: float\n", " markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]\n", " path_effects: `.AbstractPathEffect`\n", " picker: float or callable[[Artist, Event], tuple[bool, dict]]\n", " pickradius: float\n", " rasterized: bool\n", " sketch_params: (scale: float, length: float, randomness: float)\n", " snap: bool or None\n", " solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}\n", " solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}\n", " transform: `.Transform`\n", " url: str\n", " visible: bool\n", " xdata: 1D array\n", " ydata: 1D array\n", " zorder: float\n" ] } ], "source": [ "plt.setp(ln)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Column names can also be used when data is stored in a Pandas dataframe, such as in the following example where bubble color and size are related to proper data columns. A scatter plot is drawn, with parameter **c** assigned to specify the color of markers and **s** for their size:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data = {'a': np.arange(50),\n", " 'c': np.random.randint(0, 50, 50),\n", " 'd': np.random.randn(50)}\n", "data['b'] = data['a'] + 5 * np.random.randn(50)\n", "data['d'] = np.abs(data['d']) * 100\n", "\n", "plt.scatter('a', 'b', c='c', s='d', data=data)\n", "plt.xlabel('x values')\n", "plt.ylabel('y values')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Quite often we need to compare different plots either horizontally or vertically: this is easily done with the help of subplots. \n", "\n", "The subplot function requires us pass an integer coded value that declares the number of rows and columns we want to use and the position of current subplot. In the examples belows we first plot a vertical stack of subplots and then a horizontal span:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def f(t):\n", " return np.exp(-t) * np.cos(2*np.pi*t)\n", "\n", "def g(t):\n", " return np.cos(2*np.pi*t)\n", "\n", "t1 = np.arange(0.0, 5.0, 0.5)\n", "t2 = np.arange(0.0, 5.0, 0.02)\n", "\n", "plt.figure(figsize=(6,6))\n", "plt.subplot(211)\n", "plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')\n", "\n", "plt.subplot(212)\n", "plt.plot(t2, g(t2), 'r-', t1, g(t1), 'ro')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,3))\n", "plt.subplot(121)\n", "plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')\n", "\n", "plt.subplot(122)\n", "plt.plot(t2, g(t2), 'r-', t1, g(t1), 'ro')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Further text can be inserted in a figure through the plt.text command as shown in the example below, where a desired font size and color are assigned.\n", "\n", "Figures can also be annotated everywhere in the canvas with the plt.annotate command that allows to add an arrow pointer to indicate special parts of the picture." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')\n", "plt.text(1,0.8,r'$y = e^{-t} \\cdot cos(2 \\pi t)$',fontsize=16, color='red')\n", "plt.title('Another sample function plot')\n", "plt.annotate('this is a local maximum', xy=(1, 0.4), xytext=(1.6,0.6),arrowprops=dict(arrowstyle='->',linewidth=1.2))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Axes can be set to different scales to display linear or logarithmic plots by calling set_scale for the relevant object:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "a = [pow(10, i/10.0) for i in range(100)]\n", "\n", "fig, (ax1,ax2) = plt.subplots(1,2,figsize=(15,3)) \n", "ax1.plot(a, color='blue', lw=2)\n", "ax1.set_yscale('linear')\n", "ax2.plot(a, color='red', lw=2)\n", "ax2.set_yscale('log')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another important representation is based on **scatter plots**, that are very useful to show how much a variable is affected by another. Additional feature variables can be represented by properly coding marker shape, color and size of markers in the scatter plot. \n", "\n", "The first example shows all possible markers that can be usedin the plots:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rng = np.random.RandomState(0)\n", "for marker in ['o', '.', ',', 'x', '+', 'v', '^', '<', '>', 's', 'd']:\n", " plt.plot(rng.rand(5), rng.rand(5), marker,\n", " label=\"marker='{0}'\".format(marker))\n", "plt.legend(numpoints=1)\n", "plt.xlim(0, 1.8);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following example shows how to associate colors and sizes to display additional numerical features related to x and y variables." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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BEA6GMUjbe54gfGvb16sGNb5deRVbmKSMjT1cF+bqnD09TRQrCsWuEFLHD6m3PCzLWNd4MVoOcdrDG6ugVx4zQghyloUA2o0OYSdA2t1whJTdCokwjNBmlfzwLHa6Q+xbBK00ke+gYwvPU4QRoAyIbHSQRntZtJaY2QWsvkvIdHXNeVmWgUhbRAtN3vrqWyh1N0Vf332o6DJB83P4jf9M5H0FrTyEKCGMo0jzPqR5P8K4D2EMobUkDo8TNP9/+PV/T+R/G63jO30LdwUagdrG624KPeyqofD888/zcz/3c7z00kt86UtfIooiPvGJT9BqJVrwCTfT8r5EFE9jGmO7NoYhy0BEq/PnaB1u61qvLb/FUlClz9lYzsNSpcn5MzNopcnl3G7OgNbUmh5aa0xj/a+iQGC0HIK+OlGxff3nadPECBV+GCHeYXBIA1L5TleIaSaN30qh1NvVGFIKtAY/WOX9iGyUl0UYIWbpKkZ2cdV5eVGMZZkcHSxx/IWznH750obek4SdReuQsPMlvMb/hzg83g0tWPcjjUGEzCLE258xIQRCuEijB2keRRgHUHGFoPXfCVr/ExVX7uCdJOw3djX08Jd/+Zc3/fu3fuu36O/v55VXXuHDH/7wbg6dcBcRx4v4/isYsu+mh9luYBijhNElgvA0jv3olq7RCJuca16kYOU3FMLwvZBL5+aIwoh8IX09sdAPIjw/xLI2XropI5NYhAQ9Daxqt7pABRHWYhvhSrQhrvs0hdA42RaWExB4Fs1lB9MKSOdvllg2DEEUKaJYrWKwCHSQQpg+RmEWrSWqVb7+W6U1zSjiYD7LeDnPTGuBb/zpK4wcGaDQszO5IAnro7VP2P4/RP43QBS7HoNNhNeEsBHmAbRqEgcvoNUcduYnkMbgLs767uZeElzaUxH4Wq0GQLlcXvX3vu9Tr9dveiW8+/GDN4jVElLubEXCakjhoonx/G9v+RoXWleoR03y1voLodYwcXmBRr1DLp++qfqg1QlQSmNssheD4ZmE5SaxG4DWNGZqiGZAVgli+Xbs03J9TCcgjgykBCE1jSWLKLj5ASWEWNGtWNvlrCMHtMTMzyMsb+XeNLUgomDbHClkEUIwON7L/NUlXvizV5MQxB6hdUTY/r9E3l8j5DDSGNhyDo6QWYRxHyq8QND676h4dS9Swr3VPXLPDAWtNb/0S7/EBz/4QR555JFVj/nMZz5DoVC4/hob2z03dML+wQ/eQIjUrnsTrmGIPoLwNEo1Nn2u1prT9fM40kZuYL6V+TqzU1UyWQdxQzWAUopmJ8A0N3/PIjBRdkRYbOG3fNrLLayUTToCJ4bQAGnGWGkPrSRadcewbE0UChpLFu9QbEZKQRDGt/z8pnsPXTADjPwcCE0jjDCF4L5SDsfsekWkIekbKXHyO+eZvrSw6XtL2Dxx8CKR/w2EMYLYgSRgIUyEeRQVnSfs/BFaJ02+VmM7+QnXXncLe2Yo/PzP/zzHjx/n937v99Y85ld+5Veo1WrXX5OTk3s1vYQ7hFJtongWKXauymE9pMyidIsont30ua24TS2okzHWLymLI8XE5QWEAPsdZY9BGBMrhbGB3IR3IhAIDXHGo7PUQiuNtAwkkPc1dgyxHaGFRkU3X99yFJ2mide8OdxxzasQr+MF0EEK4TZo6K6R9WBPnr70zcmc2UIavxNw+rsXN31vCZtDxTOEnS+ASO+IkXANIUyEHO9WTQRb974lvDvYE0Phn//zf86f/umf8rWvfY3R0dE1j3Mch3w+f9Mr4d1NrOZQuolYS5p5V7DROiCO5zd95nJQo6M8Usb6TaeWKk2adY9M9taqiDCKV1pNb9FFHBqE6TadWgvDfnvRNzSU4oBcqk0ndIj0zQbBtShHp2HeVJ91zVBQ63R+jCODpZqN6TZ5uKfIcHZ1gylfznLyuxdpLCeJy7tJ6H0ZHS8i5PCOX7v7nXQJO1/sllcm3EQSetghtNb8/M//PH/4h3/IV7/6VQ4dOrSbwyXchSjV6DZ6Yu/qt4UQCARKbz4HZjmoEWuFKW+fB6w1zM9WQXTd8e/kdvkAG0FEBqHwia0A0755Lum0x3CuQl56xFriK+OmkIJpKXzPIPRvndftPAptT7JUtyhlNM8+NcFwce0HXbE3R63S4NwbVzZ/cwkbQsXzxMFxhNG/a63WhTGEVnPE4Ylduf7djEZcT2jc0isxFLr83M/9HL/zO7/D//pf/4tcLsfs7Cyzs7N0Op31T064J9AoQOzag27tcfWW6sV95W/o691sdKgutUilV/c8hGG8ZW8CgFCSOI4Qjri1a6QdYEpNr9VmwKljyRhPm/jKRGmBNEDF0Fkl/BC/w6OgNLQ6Bgs1izCW3D/e5tmHGvT315Hu2rtMaUhMy2Di7MyW7zHh9sThcdBVEKVdG0MIE7CI/JfQOklOvVfZ1fLIz33ucwB85CMfuennv/Vbv8VP/uRP7ubQCXcJAglo9EoL5b0bV2ypo6TSmo0oqtWW20RhTDa3uqdE3S5rcANopdFKIS0B75BAsFI+WgmEgIwR4sg6rdihETn4ykRr0AY0mxbpYoRp6puu64eCIJSEkSBWgpSjODLSYbTXp5iLukmnIkam6sTNvjXnmM66zF5ZJI5iDHN3u3fei6jwLODu+vdGyB5UPIVWS4g9bNu+39luQuLdlMy4q4aC3ubDMOHdjxRZhHDQ7G34QaORYvN1/hv1AjQbHaRx625/p1Cx6iYxrlJaKY0Yrd4e1xSagumRMzw8ZdGOLdraJogNGi0HYXS/p9dKNXMYOJaitxjSUwgZLAeknBt3kyudIYzbi1alsi6N5RbVxQY9g8Vt33PC22jtoeIp2MJneNOIDKh5tJqHxFC4zr0k4Zz0eki4oxjGAFJk0KoFG5RC3i5aBwhhYRj9mz7Xlqs3SboRpTSNuodprf312k7YAUDpGB2BVJsQaxKQNkLSRogy29SrNsM9bdLFGK0FYRSRck3GBlwybszt5R3WF5txMzYLU8tUZmuJobDDaLWE1i2E2H3tESHMbqguXoCNtTRJeJeRGAoJdxQpMxjGIGF0CYPdf+hBN4FSiCzGFlTnilYeiSDWMcYaoQuvExIGEfZtmjyZpoHygk2Pfw1lxOBJ6Nw6hooNTOf215YSDK2xYkVvoZsz1PFDirkUufR6q4FGCL1mo6i3x+haGu1GkpO002jtg45hnaTaHRwRzdY/r+9G7qU203uqzJiQsBqO/Shat/csWUrpCrZ1DCk2X35bsgu4hosX+2se43shURRj3iYub29Ctnn1C8SwaCBW2dWHHQchN/BeSvBaN8/D2kgugYzQykB569fta62JoyQJbqcRe77I3D2L2l6htNj2624hMRQS7jiO/QRSllBqedfH0toHBK7z3i0lgWXNDHkrSytae5eslFpJzlz7OpZprJRobj5SqdFoqWF59d1k5NuA6LaNvg1CaNSK6J5aSSbdSN8JYfno0EF56xtaYqX5VcIOIxwQJuyZaqJGsL52SMK7kyT0kHDHMY1+HPtxOt7XkbK0q1LOcTyFaYziWA9u6XwpJPdlD/P8wktrVmp018XbJzJapoFhCOJYITdZEaCtGBEY6NnVv75hO0UcmhhWRBysHR4Qguu7mjjuJjJuxKNgOE38ufu6/R/Wny3Gdr0ne0AUK5brbRZrLRarLdpe0BXFAmzTwLFNegpp+opZegqZjXledhEhexEi281TYHfFyrqdVg3EFnJ63s3cS6GHxFBI2BdkUh8nCE8Sx9OY5trqndshVjU0mkzq0wix9d3R0dwhXlk+TiNqrdoYqmsf6K7FsIaxYBiStGtTb3mbXnTiVIg5mcJfBrK3jhFHJl49S6Z3mTgwWcttrDXIFa9DFMcUsql1G1QJ00drg6gyvu48tdZoDU5q/QTQO0EUxVyYqnDi4gyXp5dodHw8P0RpENzwvuquF0cgcB2TjGsz2l/k4cND3H+gD9fe+ww/ISykOUYcHAd2eQHXLRAZhDGwu+PcZSSGQkLCHmMaQ2RSP0Cj9Tso1UTKnS370jokjq+Sdr8Px35yW9cq2QUOZw9wvHaKnJm5xatgGBIhumGF21U3ZNMOzbaPUhopN/bQ0EaM0OBUCnRko3uuceu5nWqOVKGB6YQroYhVrqUEhqWJVXeemXUXdI3MLBEtHiSur79oeO0AJ2VTHihs5Nb2jHrL462Ls7x6ZpKphRpxrMllHPIZh8FydtWSU+iGZzw/pO2FvHlhhuPnp+kvZXny/lEeOTxEX2lv22ob5v3EwctorXbVC6dVBcN6ECGKuzbG3Uiio5CQcAdIOc8RRhfpeH+NyUGkXL/x0kbQOiSMzmFbD5JJf3pHBGqeKD7MpdYEy2GNsl286Xduysa0DKIwxnbWfoA7toljm3h+hHubColraDRR1sdezOI280izjYriVSWiI9+huVgmP7iAjGJUfKvXQmtIZWPCKMZ1TFxnnSqG9DLKy+JPPs5G0ps6TY90zt03hoJSmjfOT/GV755jbqlByjEZ7Mnj2ht7DEohSLs2ademt5ghjGIWay0+/62TfOvNy3z4icO875GDexaWkPZjiM4X0KqCMNYWvtoO3bBDjGFvLacn4d1BksyYsG8QwiSX+XFc5zmi+DKxqm77mkp3VoyE+8hnfwJDFrd9TYB+t5f3lB6nGbUJ1M1lY45r4jgWYXh7iWghBPmsCwLieP3KAJUKMDyL1GQfUpqYKQt1m4qCznIOr5bFTPkI4+a5aNVNZjRTIQIoZFK3HVumagipCCafQHkbW/g7LZ/+0TLWBhfi3WSp3uYPvvo6//vLr9NoeRwZKTPaX9ywkbAalmkw1JPn6GgvWmv+7IW3+J2/fJmphdoOznxtpCxh2E+DXtySHPlG0PEU0hjGsB7Zlevf1axEF7f6upsUl+78Nzgh4QakSJHP/gOkzNDxvoFSS5jG+Irm/MbptkyeQak6rv0UuczfxdhhVbnHiw8x2Z7mfPMyo+nB67oKQghyhRStKW/da2Rcm1zaod70cKVcM/9RWRHaUqQu9mK0u/kVTtbBq7bXzIXQWlKf6e403UKDOLCIw67XIAq7YQfDDshlXNJrhR2EwsgsgZZ4l58mXLx9Y7c4imkuNVFK0ay2GbtvaN33YLc5fXmOP//mSWYrDUb68hsIsWwOIQT9pSyFjMvpy3NMLdT4+LP38+xD47u+CzfdjxFHb6HjqwjzwI5eW6s6CIWZ+jRC3t6QvBdJchQSEu4gUrjk0n8X23qQVvtPCaOzCJFZUXG8vXqj1hGxWkCpZQxZJp/5e6TcDyHEzifUmdLkowPP0VEeVzuzjKbeNhayWRetbp/QCIAQFPMp/CDCD1YPQSgrIk4HuFMl7Lni9Z+7hTSNuTpxGGOssTNWyqA2008UWGTKNQy7Q+TZhIGNYUXk8oJibrVFQCGcFkaqQdzswZ98nGh5lDUTI5Vm9uIsU2emaNXbBF6IYRrMnD1C5wPHSGXvzELzxrlp/vQbb+IHMUdHezacC7IVHNvk8EgP88tN/vQbJ/D8kA89cWRXx5RGD5b7aYL2f+/2YpDlHbmu1gEqvorpfgTD2l5OT8LdT2IoJOxLhBC49hNY5iH84BU63otE8QSRjhHCRIgsgm5GvyZaEWzyAIFp9JNO/wiu/R5Mc3hX51mw8nxy4Hv4q7m/5mp7hkG3F8dwKJaz2I6J74c47u2NFNMwKBfSzC818YMIZ2XR12iUG6LsGHe6RGqi7yaBJStl4eZTdJZaaxoKAFpJmgtlglaKTG8VK9VBIRg9VqN/UGAY3Vp8IRTCDBCmD0aE9jP4Uw8TTD+EDm+fLzJ1dooLr15EGoJMIU2sWhRKWV7/2gniMOZv/Pz3Y+1xdcCbF6b5478+jlKasYHCnsTYhRAMlHNUai2++O3TCAEfeuLIro5t2E9jxtNE3hcAgZDb6yaptY+OL2LYj2KnfmhXEyXvZhKPQkLCPsGQBdLux0g5HyQIzxLFU4TRFaJoYiXRSiGEiWXej2UewjSGsK0HkXJ3a8tvpOyU+NTQR3l+/iXONy+RMlx60iXKvTlmp5fXNRQAUisJcovVFn4QYbuSKOshI4PUlV7c6fIqKoyCdDlDZ7mFjhVilaTGG48N2mmCiRQxLayUz/BwiOt6CKPRdRRogQod4uoIUW2QaHkUHaz/PgadgKunr2JaBplihijsdos88NAI6YzL6e+c49E3HuT+Z46ue62d4vzVRf7kr08Qx4rR/uKejXuNnkL3ffurb58hk3J4+oGxXRtLCImV+jSgibwvo1UTYYxsaYHXagmt5jCsx7Ay/wAh90ci6n4kqXpISNhnCGHj2I/g0E2q6so9hyv17eamcxh2moKV5weGvpe36mf4ztJrTLSncPsNxKzYcJvlTNpBGTGVoEZHxrjVLJnJfszG2m57J5/Cyafwah2crHPbMEe3hXSEim0GywNkFsZoLfsIy+uqOCoD5adBb+69rM5V8Zoe+b48GmhU2/QOFSn25pBSopTm3KsX98xQaHUC/vKlU7Q6AQeHtre73g49hQxBGPOl75xhtL/IQHl9yeutIoSJlfphpDFI2PkLdHwG5ACI0oa8GVq10GoGsDDdT2K534/Y4RLlhLuXxKeUcFcihEQIByncO24kXMOUBo8XH+JvjfwAz/Q8QT6fRgyGVNQSvtEhFhH6HanOGk0oQzyzTdOpIXIRA24PpckR4u+WCRYMbpceLYSgMFzEsAwif2053zCM8cMI2zQo5dMcOdALCHTkojpFVLvUlWTepJEA3QRGTbcJVLvh4aZtDj44cl2PwLJMOs31Ezt3Aq01X3/tPJdnlhkbKN7xkr7BnhyVWpsvf+cM0QYqW7aDEBLTeR9O7p9jOB9Gax8VnUZFEyvdJv0VESyN1hFa1VHxNCo6g1bzSPMYTu6fYqV+NDESNoDWYtuvrfDZz36WQ4cO4bouTz/9NN/4xjdue/zv/u7v8vjjj5NOpxkaGuKnfuqnqFQqmxpzfzxhExLeRfQ4Jb6n7/08XXqMl6LjfP7b38SXAVE6QombFwsBGMrEii0KnRKlTg85r4DKC6ZGqkzMLLFUa+PYJinXQq7iTrbSDrmBPNWryxiWcT0EobUmihRRrDANSSmfQscwNlKkWNi55EIn7SClxG8HhH7I0cfGyeRT1+fgdwJ6hvdmZ39ucpFvn7hCfzGDedtQzN4ghGC0v8CbF2Y4OjbJex/e2cqE1ZBGP07mH6LcWaLgDVR4HB0votUUEHbtTiFBpJGygDTfg2E/iTSPItboiJpwK9utcNzKub//+7/PL/7iL/LZz36WD3zgA/zGb/wGn/rUpzh58iTj47eqpb7wwgv8o3/0j/hP/+k/8UM/9ENMTU3xsz/7s/zMz/wMf/RHf7ThcRNDISFhl8iaGb7vgfdjX83x1b96g94jaVQ6IhYKhEZogalMnDCFEzmIGxx80oADw2V6ihnmlxrMLjaoNbq7css0Vl5yJaNekO7N4dU92sstZMq6/hCyTINyNk0mZeN5EemcxfjoxtzRG6U4UCRTzDB3eZ6xB0foH++hFQXEWlGdqWLmbI6958iOjbcWUaz46itnCaN4jUqOO0PKsUg5Fl9/9TwPHRogl7595c5OIY1B7NQg2v0E6AZKLYDurFTi2AhZRsieJFnxLuI//sf/yE//9E/zMz/zMwD8+q//Ol/84hf53Oc+x2c+85lbjn/ppZc4ePAgv/ALvwDAoUOH+Gf/7J/x7//9v9/UuImhkJCwyzz7gfu4fH6ey+fnOXC4b02J4NXIph2yaYexwRKVaotqo0O96eEFIR0/6JZgrnRolD1pzCAibgfkSmlSKZuUa2NIgeeFABwcL2PvsACSihVGIY0zkGHWqzN1/ASRUET1AOEYlL/vEL9df4uDZ6c5ku/lkfIgeXvnF8tL0xUmZqsM9exeLsBW6S9nuTS9xKnL8zz70Pp9MnYSIQSIPIbcfFv1hLXpehS2U/XQpV6v3/Rzx3FwnFt70QRBwCuvvMK//Jf/8qaff+ITn+Bb3/rWqmM899xz/Oqv/iqf//zn+dSnPsX8/Dx/8Ad/wKc//elNzTUxFBISdhk3ZfOJH36SP/69l5i8vMjYwb5N19ZbpsFgb57B3nzXnR9EdPyQOFbXe0oYhkQ8rLly4irVxTop28KQAt+P8PyYg+MlyqWdkcW+xlKjxVunLhMctBF/8wHERANOL+MqQeaBQYpPDuIcKdKMfL49P8GLc1fodTO8p2+MDw8dpujs3M7/+Plp4litK0V9JzCkxLEMXj0zyVP3j+6LsEjC9lBaXO++utXzAcbGbq6I+df/+l/zb/7Nv7nl+MXFReI4ZmDg5j4rAwMDzM7OrjrGc889x+/+7u/y4z/+43ieRxRF/PAP/zD/+T//503NNTEUEhL2gMHhEp/+0Wf4s//9HSYvLTB2qHdTnoUbEULgOtaaC2LqPYc498YVKrM1hGGAIRgbKTE2snMhh1gpTl+e4vLsAhzKcPCHjtDXW0Q+LdDdPts3jVWgaxBESlHxW/zFxClOLM3wA+MP8njP8LbntVhrcerSHOXCzhpCO0lfMcvkXJXL0xWOju1Ob4aEvWOndBQmJyfJ59/29qzmTbiRd35X1mp3D3Dy5El+4Rd+gX/1r/4Vn/zkJ5mZmeGXf/mX+dmf/Vl+8zd/c8NzTczahIQ9YuxgL3/j772XvsECly/M43WC9U/aAk7K5v6nDlEaKhFGMWkJwwO5HVMIbLd9vvXKaS7UKuQ/NszTf/8pBvpK1ztlCiHWfHCZUjKQynFfoZd5r8Vvn/0un588Tay2VxFw4eoi9ZZHMbs38f+t4DoWYRRzdnLhTk8lYR+Rz+dveq1lKPT29mIYxi3eg/n5+Vu8DNf4zGc+wwc+8AF++Zd/mccee4xPfvKTfPazn+W//bf/xszMzIbnmBgKCQl7yMhYDz/2D5/jkSfGmZuuMjdTvb4D3ynaLZ/Jy4scenCYn/znH+fZDxxjbqLCxNlZmrX2lsbTWtOstrl8epqXT16gPiw59g8e4cGP3o+5gc6X78SQkoO5EnnL5QsTp/j8xCnUNt6H2UodIdc2UPYLKcdiYm75Tk8jYQe45lHYzmsz2LbN008/zZe+9KWbfv6lL32J5557btVz2u32LZ5Lw+hWtmzmOZCEHhIS9pievjw/8nffx6Fjl3nhqye5dH6OUjlLoZTecjgCoNP2qSw0UErzxLOH+Z6PP0yxnCX4voe58OYkJ146x5VT08xfXSKTS5HKOqSy7qrdHbXWREFEp+XTbnp0Gj7pnAtHskRDFg89PLoj2ftlNw0CvjR1jt5UhvcPHNz0NbTWTMxVSe/D3IR3knZtlmptWp1gx5tTJewt17tAbuP8zfJLv/RL/MN/+A95z3vew/vf/37+63/9r0xMTPCzP/uzAPzKr/wKU1NT/I//8T8A+KEf+iH+yT/5J3zuc5+7Hnr4xV/8RZ599lmGhzcub58YCgkJdwDDNHjqvUcYP9THyy+e4/SbU1y+ME8qZVPqyeK41oZ2x1EU06h1qC61sB2T0YO9PPXsER58bPS60WE7Fg++5zAPPH2I2SuLnHn1MpdPTVGrNKlPVIjC+FrhxE2YlkEq69I3UubggyO4xwr8n/ophs0yOXfnXPxlJ00rDPjLyTMcyffSn9qc2E+95VFrdEhvQCr7TpNxLWYqDRaqTTKpnWnglHDv8OM//uNUKhV+7dd+jZmZGR555BE+//nPc+BAV59jZmaGiYmJ68f/5E/+JI1Gg//yX/4L/+Jf/AuKxSIf+9jH+Hf/7t9talyhd9rvuYPU63UKhQK1Wu2mZI+EhHcbteUWZ09Nc/zlyyzO1wn8CNDYjoXjmt1FX4BSmjiM6XQClNIYhiSTdXngkREefGyM0QO9GBvIqNda06p3WJqrUZmt4bf9FYNBYJgSN+NQHijQM1gknXOJtOK/nPgmF+qLHMn37LiLX2nN2doC7x84yD869vSmrn9pusL/909eYqQvj7UBqew7idaaC1MV/u7Hn+Kp+0fv9HTedezFmnFtjD86+9/I5LaePNtqtPmb9/3ju2J9SzwKCQn7gEIpwzPPHeOJZw6xOFenstCgsthgeqLCUqWJWmlZbRqSbNblocfH6Rso0NOXo3cgTy6/uTJDIQTZQppsIc34fUPrHn9meYGLjQqj2d2RRZZCMJjKcWJphul2nZHMxpsRBVFMHKsNGUh3GiEEAkEYxXd6KgnbJOkemZCQcEewLJOh0TJDo2+7pbXWqBW9BMOQ28pj2Apaa15ZmERpjWvs3iOjYLvMdhq8UZnelKEQx2qlOdhdgmDX+z4kJOwkiaGQcE8Rqjb14ArtaIFmOE07mkfpCCEMLJklZ42QMfvJWiOkzf59kUXfDQcY3CmneiP0OV1doMfZXY0CIQQ5y+H1xSm+f+yB6+WW67HR4/YTd+OcE24m8SgkJLzLaIXzLHpvMtd5nU5cAa0QwsQUblfrXmu8eJlqcB6tNZbMUHKOMZB6nJJzDLlPOlTeCeY6DVqRz+gmdvlbJWc5VAOPJb9Nr5vZ0DmGIZFC3FZ4Zr9xN4RJEm7Pnah6uFPcu0+/hHuCWAVMt1/iausF/LiGbeTJW2O3Xfi11gSqwULnOIvem/S4D3Ew+3EyVv8eznz/MN9pEimFvYthh2ukTZu5TpP5TnPDhkI25WBbJl4Q7fvKB7UiLJVNSiMT7iISQyHhrqUdeVSCBhW/xoJfY8mvE6gIpRWmNED7KHUOwTRlO0e/cxhrAzs5IQSOkccx8kSqw0LnTRrhVQ5kv5fB1OYy8t8NtKNwz8YypexWZEQbV63sLWbIpGzaXrjvDYW2H5JyLHqLGzOCEvYz2ws9kIQeEhJ2hyAOudCa4c3qRSbbC7Qjn1BFCMCSJlJIBBCoNtXgCn7cwZQpHKlwjXnG0ykOZlL02taG4sSmTFG0D9OKZjlX+xNC1WYs86F7yljYjmLiVtlM1bZlGgz15Dk7MQ/s7wW444VkUw7l/P6eZ8L6aC3Q22gKtZ1z95rEUEi4K6iFLU7WrvD68nnmvCoARSvDgFPEkuZNC3eoWix45ylYHq5TQgOB0nhK8Wa9wZlGiwHX5mgmzXjaxVynikAIQdYaohNVuNL4EgYWI9n37+Ld7i/We392kmsGgiE2N+Zof5ETFzauXX+naHkBR0Z7k+6R7wLUyms7598tJIZCwr5GacVbtSs8P/8Gc94yGcNlONWDLVf/6GoUy/4FgriOa5RACATgGALHkBQsEy+Omen4THU8RlMuTxbz9Drru6xTZg86irnS/Ao5e4S8Pb7Dd7s/KdpdjYa9SBYMVIwlDUqbbD893JvHMCR+GOFY+/OxppQmihQHBhNFxoS7i/35jUpIAGpBk6/Pv8Eb1YsYQnIoM4hcZ6d5reTRNvKwxqLmGgauYRAqxWTboxKEPJLP8kAus+7uOWX0UQsvcanxJR4u/X1MuX+7Fe4UA6ksrmHRiUPS5u7mADTDgIxlb1rG+choL8O9eRarLUb6dr86YyssN9oUcikePLh6p7+Eu4t7qTwy8X8l7Esut2b5nctf4eWls/TYeUZSvesaCZH2qAWXMYS9oXJGS0oGXRuN5jvLNb6+uEx7HcW8bq3/KFX/HPOdNzZ1T3crfaksRcelFngbOl5rTdgMCeoBcbA5BcJa0GE4nSdrrd5qdy0s0+CpB8boeGFXxXIfstzo8OjhIYq5zXlLEvYn13IUtvO6W0g8Cgn7jvONKf5s+kXqYXtDXoRrtKMFItXphhw2iBCComWRNhSXWx0ipfhgb4msufZXwxA2hnSZ7bzKYPrpd73GgmOYvKdvjD+9/BaDqdya4QcVKWoXaiydWqY91walMRyD4n1FSveXSPXdfoGMlCJSivf0jW1png8dHODrr5xjudGmp7C/kgXbXoBtmTx6dH257ISE/UbiUUjYV1xqzvCnUy/SDDuMp/o3bCQoYlrhDFJYa4YcboctJQOOzVTH54UNeBZSRi/NcIqqf2HTY92NPN4zTM52qAadVX8fBzGTX5nkyheu0LhSR1oSI20Sh4rZb89x4Y8vUj1Xve0YC16TvlSWR8qDW5pjKZ/myftHWaq395VEstaaqYU694/3J/kJ7yL0DrzuFhJDIWHfMOct82dTL9KMOoym+jaVOBfGTQLVwpRbd+uaUtDv2Fzt+HxrqUqk1l5sTOmgdUQ1uLTl8e4mhtN5nu0bZ67dXPV9mX1xlsqJJZyyS2Y4i52zsdIWbtklO5Yl9mOufu0qrdnWqtf34ohG4PM9Q4c3HXa4kQ8/eYQDg2Wuzle3fI2dZm6pQTmf5hPvvR8p7x53c8LtuZajsJ3X3UJiKCTsCyIV89W511j065s2EqDbw0HrGLnNaJopBX2OxUS7w+nG6ovaNQyZohFObmu8uwUhBJ8cu58DuRITzepNOgd+1Wfp9DJO0cFM3fr+CyFI9acIGiFLJ5dv+b3WmiuNZR4pD/KBwUPbmmc25fDx996PaRhUG6t7P/aSjh/S8kI+9p5jDJRzd3o6CQlbIjEUEvYFry6f43R9kuFUz5Ya5oSq1RU62wEj3ZaSlCE5UW+y6K+tEGjJFJ2oQqja2x/0LiBvu/zwgYdxDZOpVu36z+uX6oTNECtnrXmuEAK7YFO7UCNsvq30qLXmUmOJ/lSWHz7wMM4OyETfN9bHex85wEK1hRfsnarkO4lixdX5Ko8cHuLpB7aWd5Gwf7mXkhkTQyHhjjPnLfPCwptkDBfX2Fr5XaQ9xA5+nAumSTuKea1aXzMEYQiHSPsEcXPHxt3vPFwe5McOP4YQgsuNZZTWhK0QIVjXC2SmTGIvImx1F+9IKc7XKxTtFP/P0ScZzRZ3ZI5CCL736WM8fmyYybkqfhjtyHU3QxwrLs8scXiklx/8wEOJwNK7kHspR+Hdna6dcFfwncVTVIMmhzJbzwjXOkbsYMxPCEGvY3G14zHR9jicvbXFsqDbdVKzuRLAu51n+8dxDJM/vnyCs7UFHB1vqBOeVrorgCUFVb/DbKfBoVyZHzv8GEfyvZuag9aaWr1DZbnF0lKTjhcSK41hCHJZl55Slk8+8wBRHHPiwizjA0VcZ22Px04SRTGXZpY5MFjixz76OKX87rbnTkjYbRJDIeGOsuTXOd2YpGznt6X6J4TccQvdkhKJ4EKrzcFM6paQiGZl4cPY4ZH3P4/3DDOczvP5iVN8M3uGVhxg+D5px2at+E/QCIizgivUyIQuHx+5j4+P3kfe3rholeeFnLs4xxtvXWVqpkqnExArtWIkarqNejSWaZBO24yP9TDWW2Byvko5n6acT++qumSj7TFTaXJ0tIcf+9gT9O6zMs2EneNeElxKDIWEO8qZxlXqYZvD2/AmABjCReudL4nLWwazXsBiENL/DpnnWPsYwsaS9+aOsS+V5R8ce5rHC8P89qm/Yna+Sqen6+Y3hEQKgaYrwx2HMWHdZ+jJYT5y8H6e6h3hcK5nw4t2HCvePDnFC98+x/xiA0MKioUM5WIa07zZUNNaE4YxrbbPibemQIJjC5aqbWotn7H+Apa5s8ZdrBRTCzW0hg88epDvfeY+8pl3v2rnvYzWbMiTdrvz7xYSQyHhjhHEIa8vnydjutve5VkyA0Jf21TuGK5hsBxGXG51bjEUItUhbfZ1x75HMaTkicER/unf+Rj/9/e+RTsMMMs2LRUQruR2CF+jGgEHnzzA3/tbH2akd3NaAkvLLb76jdOcODWFZRmMDZduMQ5uRAiBbZvYtkmpmMHzQ2bnapgoNIKLUxWKuRQ9hcy2cweUUiw3OlTqHUb68nz8mft5+PDgPdVd9F4l8SgkJOwBU50KC36NQXf7IjSWTCOQaOIdDwWkDYOJdoeninnMG+rgI9Uhb4/v+0VBa82cV2WivcCcV2XRr6O1JmO6DKVKDLolDmUHsNZotLURHnxinL+l4fkvHKcy38A1bKQhiYII2zE59N6jfPJHn6ZQ2pxRNTNX408+/zqT00sMDxRJpzef7Oo6FgfGeliutllcblIupzAMgyszy5iGpLeYIe1am/o7ekHEYrWJF0QUcyk++vRRPvjYIQrZRJ454d1HYigk3DEqQY1Ix2t2gtwMtsxiyTSh6mAbNzQU0hBFEIT6uqtQCJACbEdgbMCmcKWkGcU0ooiS3U2Ii3UAQpC3D2x77rvJZHuBby6c4kJzhnbkI4TAkRYCCHXM8eolDCkZdEs823MfTxQPY8rNG1pCCB5+6gAH7xvg/FvTXL28QBDE5Itpjj00zOihXuQm21XPL9T5oz9/ldn5GofGezG2sfsXQlAuZUinba5OV3mgr8RHnzrKiUuzXJldYqYSIYTAtU0yro1tGYiVzqNKa8JI0faDbi8J3c2BGO7N8/QDYzx4cCAxENbB90IqczWW5uosztWYmajQbnpEYYwQAssyKfXlGBwrU+7PU+7PU+rLbetvvttst8TxbiqPTAyFhDvGglfbsUoFKUwy5hBL/lk6bU2rrfE8Taul8QNQ8YqhwIrcggDDELguZDIC1xVkswLbvnU+thQESlEL3zYUOlGFjDlA2T52/bg4illeaFCZq1FfahFHMXGsMEyJZZkUerKU+/MUenf/ARipmG8tnuKbCydpRh59Tp4Bp7jqrtmPQyp+nT+efJFz9Wk+OfQUZWdr4kCZrMvj7z3M4+89vK35e17IX3zpTWbmaxwc69m0kbEWrmMxOlzkzNkZestZfvLTzzK9WGNuqcHccpPJ2WUq9TZt/+3mUlKAaRiU8xnGjxUZKOfoL+UYHyjeNgRyr6O1Zn56mTOvT3DylcvUllqEQTeHxXEsTLtrjKE1SmtmJyuc+O5FBAI3YzMwUuLR9x7h6COjZHL7L99juyWOd1GKQmIoJNwZtNZMtudJbVE34Z3EStFuZJiaTdGo+6jYADTSANME22FlhyhWxoco0rRaUK93v7K2LSgWBaWiJJMV11tGCCHQAmor9fhKR4SqxXj2o3gtxYU3z3Hh5FVmr1RoNzw6bX/VOQohcNM22XyKoUN9HH1klMMPj+KmdrZ1c6RivjjzKi9WTpM3UxzKDNzWre4YFsOpHrw44HjtMrWwxY+Nf4Be5861a37x5YtcuLzA+Eh5x4yEa7iORW9Pjldev8yRg33cd2SAsYFuIzGtNS0vWCm3VGgNpiGxLYN8Zvu5NPcCWmsun57htW+d49LpGdoNj2whRe9AHnsDIR6lFJ1WwNSlBS6fmaHUl+eh9xzkyeeOUexN1C3vBImhkHBHaMc+9bBNyti6rj903cJziw0mZhaptdoEykSaTUxboEXXAIhXXkJ3tQ+kMJFSYtkSR3R3hFpDEGjm5zWLFUU2IxgcNMhlBQgwhaAadoWC6sFV4oUhzn7b4MzLf87SQh3DkKSzLrlSmr6R4qqLWxwrvLZPp+lz4qXzvPnieXoHCzzy3iPc/+RBeoeK23ovrvHS4mlerJym186TszbuEncNm0OZAS635vmTq9/m7x/8yJYFsLbD1ellXnr5IqVCGsvanR17IZ+iVm/ztW+cZmykRMrt3qcQgmzKIZva3ufyXqXd9HjxSyd49RtnCfyIcn+O/uHVPVlrIaUkk3PJ5FziSFGtNPjGXxznzOsTfPD7H+Oh9xzcceNxKyTJjAkJu0ykImKtcDfYHXI12l7A2clppheWifEx7RhTdh2CXQEmg3eWQCgUsfZBreQqYGBKG0OYOI7Acbo5DY2GptWO6O+T9PcbSCBQimq1wsmvK5aP28Stk+RKacaODGCY69+HYUgyuRSZXHfxjsKIpfkGX/m/L/Pdr57kPR97iGc++hDONjwMU+0KLyyeJGemNmUkXJ+jkIyne7nYnOVbi6f42MDjW57LVjn+1lXabZ+BA5sTYdosw4NFJqeWOXdhnsceHt3Vse4FLp6a5vk/e53JC/P0DuYZGt9+NZBhSnoGCpT6csxdXebP/uc3uXh6hg9/+nGKPdn1L7CLJOWRCQm7TIxGo7eUo6C15vLcDOeuztBq+9gphWsaSGEjEGhMYtVEoxDv+IhfH090BZMUMX7cRgqJISws6WCa3XyFIIDpGUWjockMaCr1Nl//UovO1V5GR3spjGW25Yo2LZP+kRJ9w0WWFxp87Y9e5sqZGb7nh59i9MjAlq757coZGmGHQ5mtnQ9gSZOClea7lXM8WTpCyd67B3K11uatM9MUC28LI8WxoukFtLyAthdQa3sEYYzSXaElKQW5FS9AxrXJuDapDagwmqaBYQiOv3WVRx4cSTo7bhGtNa9/8xxf/ZNXCfyQ8WP9O567IaVkaLyHdsPj9W+dZXGmyqf/wfsZGEnadu8FiaGQcEeQiJVFfXNmdaRCTkyc58rVZRCabM7EEDfvwAUmUmaIVQtNdIux8PZxK6qKAjSKUPnEOsKSLqYwsW0wTUGzqZlvBqQWQh6Y7+X+hx7BMnfuqyOEoNyfJ1dIc/n0DHNXv8xz3/8Yz37vw5tysS76Nc7Ur9Jj57YdSy/ZOS61ZjlVn+S53ge3da3NcPHKIvV6h4PjvbT9gIVqi5lKnZYfEMfdz4ppCKSU13NIdKRpdHyU1kgElmnQW8gwWMpRyqUwbvMe9pSzTFytMLdQZ2jgzuVk3K1orfnu107xtT99DccxGTvcv6vjpXMuB44OMnlxnj/+rW/ww//ogwyN9+zqmGuRhB4SEnYZUxhIIVCb8L81wyonrlxgZsbDsQ1cZ+2Pr8RCyCyxaqOJ6Jomay8YAokhJIqYQLVRwsaSDghN3PHxUQiVIz9ybEeNhBuxHJPxYwMszdf56h++jNcO+NAPPrnhComJ1mK3wiGz/QVPrpRRnq1P7amhMLdQJ4hjzkzOM1/r6hTYpkHGtTCk3EAinCaIIqYrNWaW6hTSLmP9RQZKuVW7kqZTNnPzDSpLzTtiKGitqfkec80W860Wdc8jVN2+JaaU5F2XgUyG/myGgrP/kinfePE8X/+z13BTFj179P4ZpmT8aD+T5xf4i9/9Fn/jJz9E3w7l92yGJPSQkLDLpEyHlOHQiX3g9hLIGk0tWODk5AXmZxUpx8K21188BSaGzKK0h9L+hgwGiYFGEyqfSPn4yxZBw8DtN3GXMpxeqGFKSX9md+rmhRD0DBQwLYNvfv4NhBB86Aef2JBnYdGvAWLHFpO06bLg1/HiYE+SGqM45rsnrjBRqaElpB2Lci61yUQ4gWtbuLZFFCsaHZ8Tl2ep1NocHi6v9KJ4m+61NQuVxg7fze2peR5vzs3xnamrzDdbtMLgepfSG+9WA6aUZCybwVyWZ0ZGebS/n7x758sFr15c4Gt/+hqmZe6ZkXANKSVjR/q4cn6OL/3Bd/mxf/oR7D1q+nUvkhgKCXcEQ0iGUz2cqF6GdRLMq8EcF+YvsTincayNGQnX6HoK0khhoXSA0sGKwdD97a2P5bdr59vLkqAmcF0XJRW5yCXWmtMLNbKWRdreva9PoZwFDd/6whuksy7PfOyhdc9ZDppYWxBLWgtXWtSjNs3I23VDod7y+LOvvcnxC9MYUtKT237zJtOQFDIuQRQzValRbXscHephoJS96dqWZbCwuDetwhdaLV64coVXZ6ZZbLdxTJOi69KTTmGtof4VxjGtMOTy8jJnFhfpTad5eniYDx04SE/6zvQZ8b2Q5//8NdoNj/GjuxtuWAtpSEYO9nLh5DQvP3+a5z7x6B7PYHuhhx3Vmt9lEkMh4Y4xlOrhjeqF2x5TCxeYal5icQ6ENnGcrVVJCCwMYSFFCq1DNDFaR2jUDcdIhDAQmIQdSdSIEaYiMgKkMrF9G9u2WPJ8zi3VeXSgtKo7e6co9GQJg4hvfuENxo4OMLhOLFbtgoRL1z26uz7S5XqbP/zy67x1YRbHMknZm5NTXg/bNCjnUjTaPicn5gjjmNHewvUxpJQEYbTOVbZHrBSvTE/zhXPnmGnUKafTHC2Xb5s/cQ3LMCgaBkXXJVaKSrvNF86d5/jcHJ86dh9PDw/v6udwNb779VNcPDXD6MHeOxoOsR2LfCnNt796ioP3DZEt7105770kuHTni1ET7lnKdg4QxGt0ffTiJrOdSyzNa4K2QSq9/Y9rV0fBwRBpTJnHkgXMG16GyIJ26FQ1WoFlmcRmSByEGF5XSS5nW8w228w02tuez3r0DBZo1tp8/U9eIfDD2x6bM1NEOt6xsUMdYUljV70JtUaHP/ir1zl7ZYEDQ6U1d9XbRQhBPuNiSMHZqwtcXayhrweJ9a4udjXP43ePv8H/eON16r7Hfb299GcytzUStNYEnZB2zadd9wk6EVprDCnpz2a5r6dMtdPhf7z+Gr/7xhvU/dVFvnaD2ckK3/3aKQqlNNZt8oT2inJfjlajw/N//jpxvPMdZNeim6MgtvHas6lumzv/V064ZxlO9ZC30tSCJmUnf9PvlI6Z969QbwQ0lmwcV7A71Wu3Fmh2qhFhR2GlZNc76EjEkiYMOphGDtsw8KKYC0sNyimHlLV7XyMhBEMHejn/5iSvfeMM7/2+R9Y8tt8t3rD4bZ925NPvFskYuxMP94OIP/7qcc5NLHBwpIwhuqWOsdq9J2jGtWl5AeemFrFNg4FSjihSZLbQbGojVNptfvf4G7w1P89YoUDWXnscrTXNpQ7L003qC22CTohaqfSQhsBJW+T7M5SGs2SKLuPFIg3f54WJK9R8j7//2OOUUrvfc+Lkq1do1jscvG9w18faCEIIBkfKTJybZerSwp2ezruSxKOQcMfIWWkezh+kGrVu+d1yMEsjXKJTc1AKLGtv3JtRoPDqEYbVlXDWsttFyl20acd1Ih10525btIKI+Za363NyXItsPsV3vvwWjeVb36trDLolHMOiHXV3l1prIqUI4pggjomU2rAhobWmHQccyt5e/nk7vHT8EqcuzTI+VMIyDaQhyWYcomjnvCKrkXFttNZcmK7gBV2p5oG+/PonbpKq1+F33niDk/PzHCmXb2skdOo+5789xekXJpk+W8FvhRimxMlYOGkLw5R4zYCpU4uc/sYkF16ewWsG5ByHw6USJ+bm+Z033qDu7e7nsVXvcPLlS+SL288h2UnctE0YxJx5fWLPxtQ78LpbSDwKCXeUhwoHeGX5LO3II212d65e3GIxmCIObJr1bpfHvSJoxaiY682hYldhtiVuPUWkfVpRjYLVjctahmCq3mI0n8HYZbGecn+eK+fmOHt8gqe/Z/VyxaxMY8UZXl+ax9Epljo+Qfx25oIAbENSTjkUUjZZ26LgWqt6RJqRR8qweSg/viv3MzG7zAuvXqSQTeHckBSay7osVnY/sTCXdlhudDg/tUhamvSUdlZUKoxjfv/NE5xcWOBoubxmSEVrTeVqg6snFvDaAem8s4Y738BOWWitCf2YxSs1Wsse44/0URrOcbhc4sT8HP/7rRP85JNPYe6SxPG5E1dZXmzesQTG21HszXLuxOSejXcvdY/cVY/CX//1X/NDP/RDDA8PI4Tgj//4j3dzuIS7kNF0L+OZARaD2vWf1cIFQuXjNSyiUGPukTdBKY3fjJEmbys3mhpn0UZogSlsAuURqu6OPW2ZNIKQSnv3vQrSkLgpizdfPE8Uvr3jjpXi3PIi/+/p4/yH777AW9Mtzs23ObdUoxN26/EN0X0JBJ0w5lK1yWvTFV64PMdXzs/w2nSFhZZ3XdNCacWcX+WhwhjDqdWV77SOUPEscfgWcfA6UfAacXAcFV1Gq85t7yWMYr784mmaHZ+e4s0yv9mVxku7HWuWQpBN2UzMV4nQDPTvrEfhxclJjs/NcrBYuG3eRWWizuXXZonCmHzv+jF/IQS2a5LvSxO0Qy6+OsvSVAPbMDhQLPLazAwvTu7eYnnq1cvYtrEv2z/nSxmatdt/9hK2xq56FFqtFo8//jg/9VM/xY/+6I/u5lAJdylSSJ4p38fl5iyNsE3KtKiHC5japroUY5o71Yh6fcK2Ig41ptt9CMaZGLNtYC9daxgkQWt81e6qN0oJGmabHfqzux8bLg/kmbmyyJWzMxx8cJjX5qd5YeoKl2rL+HFETyrN4z0jZF3J1fYiWcvEuE0vDaU0nSji/GKdS0tNetIOh0pZtN1hwC3y0f7HbnIva1UjDo8Th2dQ8SRaNUC3ue5E1YBwEDKDkINI8yim/SjCGLvpOhcmF7kwuchI/63NgkrFNJmMQ7sTksvubmMmxzIJghhtCXLZncvDmKrX+eL5c2Rtm5S1dm1/c6nDxIl5hBCkC5u7VyEEmZJLu+ozcXweN2eTzjukLYu/On+Oo+UyQ7md7bTYafkszNTI5nf/s74VpBSIPWwWdS9VPeyqofCpT32KT33qU7s5RMK7gPtzYzxVOspLlVMUlSBQHiLMEYbB9RDAXhB0ujt1IUCZ3a5R6SkXI3j74SOFiR93SBkRhjCxDYOqFxArvevhB8e1iSLFiTMTfEPP8fLcFALBQCZLxno7/n0oO4AXByz6dfJWGlOsvqOVUpCxLTK2RRDHLLY9Juo1RgppPv3Yeyk73YVGRZNEwXeIg1fQ8SIIE0QWIYogh7sGFKzkP/ho1URHF1HRW0T+lzHM+zGd9yGtRwHJ66evorW+KeRwDcOQDPbnOXdhHqX0rvZfCMKYtGMRac3k7DIHhrffN0BrzV+eO8dSp8N9PWuXs8aRYvLkAqEfk+vZ2sIrhCBddKgvtLn61gJH3zvCcC7H2UqFL54/z0888cSO5hEszdfptHx6B/ev1LWb2jvRpUTC+Q7h+z7+DWU+9Xr9Ds4mYa8QQvDh/se40p7jdO0ErmEQ+hDH3WzvvUADka+QRrf/RJxWuPM29tLNDx4DgxCfQHVIGTksQ+JFEe0wIrfLynAKzVKP5v+dOUU+V2Y0W1w1Qc6WFg/kxzjXmGLer2EJg7ThINfwLmg0WiikGVI2XQjSfOH8FXQkebJ4ntj/MqhlkD0I8xhiDcOjuyi5CMMFeruGg66veCFOYNhPsdT+KOcmFm4JOdzIQF+e2fk6zZZHPrc7u1etodn0GBooYJiSN89N39ZQiKKY2ZkaS5UmtVobFSkMU1IsZejpzTEwWEBKwVS9zqmFBQaz2dsu0tXZJo35Npni9mSZr3kWqrNN6gstigNZBrJZ3pqfY6bZZHgHvQqV+TphEGHvg5LItUhlkvbgu8G++ot/5jOf4d/+2397p6eRcAfIWWme67mPN6uvIJVBECjQe6ddpkKNijTChCirMVoGqanUrcWTQoAW16sfLCloKr3rhkKM5oRZ41S/j/TgiWwZ+zbKkI5h8VBhnFJnmcn2ArWw3U3AFAbminqj0ppQRUQ6xpYmI6keDmYHsKXF1foM//PN15kcnOaToyaW+cCmFzQhBIgCQhbQqkUcvMips5M0GgcYKB9d8zzbNjk03sPJMzP4QbSq52G7NFsembTDwfFeWn7IWxdm+N733k/Kvflv2OkEvPXmVY6/foW5mRp+EN3ymXRdi5HRMo8+Mc5lu00z8BnJr71Aa62pTNZBsKH25OthWgZaw9JkneJAloLjMNtocHx2ZkcNhdpKkul+qnZ4J+42WrRvlqTXwx3iV37lV/ilX/ql6/+u1+uMjY3dwRkl7CVDqTSHMiZX2lDrhHvmTQCIQ4VSGpHTyECSvZK+KeRwIxJJqAJuFOpp7aKyX4zmDavKGaNBVlvQCPFb/m0NBejmf4yke+h3C1T8OktBk0bYJlwRZZJICnaGkpWhx82TNVwQAh0vMeycZUm3+fJ0HyEmP3wAzG38OYTMgLifmYUqkglULDHEEVhj0ektZxkaKDA5vYwUAsvaOSGmdidAazg43ksqZSMNyfxSg4Vqk/HB0vXjrlxa4KtffouJy4s4jkVPbxbHuVk1UmtNpxMwcWWRc+dnuWp2yD90a+7FjYReRHOpg5PeOcPSTpnUFtpEYYxpGRRcl+9cneJ7Dh66JU9CaUWoYqQQmMLY8MK/nuDXfmAnDK+N804J+K2cf3ewrwwFx3FwnMR1dK/SjJc4kDbJmnm+OrWAsgV7JfURRwpVUFixQfZyGqux9ldDCInSMbGOMET3IRzGt9b+R0pR8Xwqno+/omFgSUnBtulPubjm+oufWvEknDEa5LRFypBUYx/fC9noXtGSJoOpMoOpcre8TkXdZkNCYryjN4RWy8ThG2jdpuyWMAx4flpjS/iBcbYlFay0YLpSIuV6qOgsAoE0D69uLAjB4YN9RLFiZq5GNu1g29szFrTuGglRFHP4YB8Dfd130LYMwjCmsty6bigcf32CL33hOO22z+hYz5qGihCCdNohnXaYrdZZPjmLakWUTJf88Ooll14jIAriHTUULNug0wzwmgHZUopyKsV0o8FMs8nhUomKX+d8Y4rJ9iIz3hJhHIIQ5M30SuVRP0eywzjG2nMKg3jPpaI3yz6f3l3LvjIUEu5t6uEiUkoezJd4rd5hIdWkY4a4kbmKfuLOEQuFn46Qs5LcTBqrcfsHuEQSE143FATcpCboxzHTrQ5TrTb1MERrjRTdO1BaM0GLlGEwlEkxkkmTv40QzxWjzWmzQRaTFMb1TYhSWysfFEJgGxZaadptn3a7RacT0Gh4+H6HOJxBE2MYRVxXk80ITAu+cEnT78KzA1v/O1Qb0OpANu0Cijg6C8JFmiOrHm8YkvuODCClYGa2hh+IlfLJzY8dx5pGs4NpGhw93M/IYPH6qnJtRz2/1O0gefrkFH/5F68jgPEDG+9lEAiN2eMQt2OuvDjFoQ+Nke2/tWlT4Mco1S15XR9N2vawzQApFF3Jc0nbdwnjtz830pSoSBN6XYPVNgzCOOZSbYGT7TOcrE3QCNuY0iBlOCvhJ828X2WiPc+LlVMMuEXe3/MQj5UOr1ot0w1x7G9/+V5OLwk97BDNZpPz589f//elS5d4/fXXKZfLjI/vjpBLwt2LFzUxMBFCUGhmUC0Db6BN2wpwYhNT7WwfAI0mMCJiqXErNsabAsux0CuFS2saJ0KABsWti3UrjDixtMyi52NJSd4ybxG/UVrTiWIu1JvMtD0eLhUYSN+atNcUEW+ZdSSCtH77qyoQ6C3KHPteSKXSZHa2SrsdXFdBlIZAUgUdgHBBaxoNmJ/vjtNx4L/MwT99QPP0fZJUavOrdaMNfgg9NgiZRqsQFZ1DyBJCrt4F0TAk9x0eoJhPcXmiwnK1hetapNyNNY6KY027ExBGMeVimkPjvRQKt45lWQaL1Sa1apuvfukkcagYGdtcFUQz8LvJhb0pmnNtpl6b5chHD2C+0xOiNUKs9ffTlDNV+vNLFNM1BvIVsm4LU8bXz1FaEMYWy608C40eau0cM7V+6ry9cgkh6MgmfzbzTbIZQY+d41B2cM33LFQRC36NP5n6Fueb03z/0HvIWTe/T5Zt7vuSPrWL8t/vJKl62CFefvllPvrRj17/97X8g5/4iZ/gt3/7t3dz6IS7kEiH10vtTEOSarr01V0WU01qbovAiHEiE0NvLxyh0URS4RsRppLkfZcoUHSOtqmXPZArDxslMDoGRstEdgyMtoH05NsGxMpDWdN1yXeiiDcqyyz5PiXbXrNcUgpBxjJJmwa1IOTNyjJCCPpTb9fyKzRvmjXqMqRP3RyO02jkJuvFO+2AqaklFhYa+H6IaUpc18Y0HIQQaF1HxS0Q9i0GktaaVAQzbfiNFxTv/7bisYcFTz5hkMls/GEXxXR30iunCJFH6woqOothPb6m31hIwUB/gXwuxfRslfnFBtVaByEFtmlgWgaGlF37TWuiWBGGMWEYdxfutM2h8Z6VCoc1SkWFIAxjvvWNs8zPVjl4uG/D93WNhu9jSnndWGjMtlg8u8TgIzdfqxtHF2j9do6LKUNGynMc7b/CSGkO0wgIYkkndGj4NlobXEvZkUJhmyEDhUXGyrNooOWlOFkYQGUdIjIsxcvUrGki3+LR/vvWrHi5hiVNhlM9dEKfV5fOMufN88G+g4S6SSuqE+mY6f4FvMeuslhexvaymEEay09jhu6uevw2g9cO9mwszTY9Cjs2k91nVw2Fj3zkI/veVZWwP3FTklo1xlQmA608mdCh6rZoWwFKRFhKYsXGph5QCkVgxkRCIYTG0iDMmJbZIuxXKDtGGsbb32BTExZDwp6gW4ERCayqhbXooKs3fq41phScXK6x5PmUXXtDsVwhBAXboh5EnFyqku7vIbuSeDZhtJkw2hSVhbzxHvXbTYI2glaaubkaV64s0m4HpFIWxcLNOv2aGK2W6foqbl1IhRA4FgxZUHc0EzXN0vOac+c0H/qQwZHDYkO7++uPgmuHCoEgj4qnkcYQwhi47fmplM2RQ/2MjZRZXGpSrbZptDwCPyK+IRRjmhLXsejrzdFTylAqZtZXEhTQavqcurpIuSe7aUMMujkp1/7u0pRYKZPKhSp995UxbvAqOFkbw5TEocK0JWM9U4wPngejw4zv8OKlAyx5LkqLroZV960iZ4b0OSEFOyJvhZTtEEOAQJG2mjx97ALp3goX/DFO1ErdHiWk1zUSAGId0wirLIcLeKrJdytXuNJ6i4cKWWzDQiDxUx6qt0E920GUuol8Mraw/BTZ2iDpei9mtDsNxDaK1967Lpr3EkmOQsK+wRAWeqXldLnXYGqym2UtEOQCl2zg0DFDGk6HhtOhY4XXH6SGkhharCzyAtBo0c0/UPJaMEFjaoklNFp0d3NWbGIoiRUqwrqPdOSqi55Go21N0BsQ9ISIBrizPna9655VwELHI29bm0r4EkKQt00qfsBMq8OxooVCc8FogQBH37xwR2GMaRq46fWTfjudgMsXF5hfqGOaktJajXx0C30t5HAbHLo776UiPJDVzM1q/uiPI558QvLc+w3S6dvftyFXojYKrtsjwgbdRMXTGLJ/Q9lotm0yPFhkeLCIUhrPC4gihdJdgSbbMnEdc1OZbVppGpUWft3jwKHNexPg1h2ik7NpLXSozzQpHXhbpMhdafSEqjM0PEnN6PCVuRLNYBCNwBIKRyoM0XVuawRKQ8W3mfVcNGAJTckJOZJtM5bqEHhpmkGe/h6bS+ECGbOJq0oE66S8hspnOVhkOVjEU20EAks69LlZGlFMoAoMp7tzz+VCpv0mMpI4roUWCmWEBE6LyvAZqr2XydQHyFYHcLydb7K1ETp76FG4l0gMhYR9g2ukienGzAvFbrLVje5ZgSAd2aQjm55OFs8MCYwIzwjxrJBYKJCgUQgEQoOtTFK+jakknu3Rsbs7DjeykTeEMAxLIKRAK1hNT0ggEIFABhItFVE2pH6sSjSnkRMZGnFIrDX2FjTwhRA4hmS63eZgPsuSGVAxfPLq1qTKMIyxHBN3nbbIrabH6TMz1GsdcjkXaw2Xu0ajdeP6Pd4OjSKLYhHNomgwOBjSaAi++aLF/GLApz4ZkculkTKL4FYhoZQLlglBBKkbpiNEGhUvIM0mQmyu7l/KbtXBdgkjheVpDENuWQ3SEOImY0EaXcnvTtW7yVAIlMIcreEFk5wLQMVZMlIx4ATr2Dbd74bWEGrBsm/yolfkTTPLiNnkmUOKK4HFBd9l0OpgGFME2gM9AOLmHBitNbWwwqx3FS9uY0qbtJG7yfvgxT7nm1VG0jksKbEdEzdl0256OK6F0BIjcjAipxvOsz3qPVdoFmcpLI6RXxpFqr1bYrTWu94j5KbxkhyFhIS9J2/1oVcSBHN5iWkJwhBWKwowlUE2eHu10WhiodArzZy6hoLA0ILAjJjPLeNZPnZsrZoUKU2BYQriSK/v1ldgNEyMlEFjqIqZ6aAnyqTMrS9YadOk5gcsdDymih4RGnuV0tAoiCj15deMtQM0Gx6nTk/TanoUi+nbezi0j9Zed2e/2q/RQIjSPugIA0WEzSQ+ZV0nnQXTlpw9m8b363z/958klxNIkcUyRzGMAeTKItWTh7QLHQ9SN71VLugmWs0j5M72J9gosVKErYj8NowO17SovqPNs7Qk7aXuz7TWzDdaTC1dIhTzZKwINzYwrc211RYCbKHpdUKUhrovORUUqc5CmjZYMVqnaEWSHreKDo4jrEdhJWE0UD5z3lWWg0UEgqxZWNXTlLMslgKPOa/FaDoHQtA7VODiWy20vtlhIxBYQQozcInsDssDF/CyyxTnDuN29kbyuVX3SCfKjLvC/msBlnDPkrPK3dJDHZErGKTSkk57YzsEgcDUBpYysJWJpQxMLfHNkLn8Ep4VkAqd21ROCExXouP1c2queTms0EbUbHQhoH64gsxuXXSpuxsVLKmAKaNDRq9uw8eRIldcvUIAuq7XM2dmukZCYR0jAYAAdAzvyE3QKJTuoFSNWDW61RCAwCANzMocvsggRQrXcRgdVUxM9PK1rx3B8x1iXcML3qDjv4AXvEWs6tiWYLAMt4SRBSAMtKquM9fdIYpWxIekxNyAtsVaFFznegfOa0hDEnkRfhRxcnaBU9MXMONpDhXbZFyXGwoVtoRAkzMjxksxjVhyqm5QbZr4McTaAFkCVUGHx0F3aEdNLjXPUPHncKRL2lxbatoQ3aZnFf/tjow9/QVs1yLwVnfxdw2GNHY7TyezzPz4cRrFmeuVRLvJ0kKD8WO3z3PZSa6VR27ndbeQGAoJ+4acWcaWKQLlYVmCg4dtOm215YTYwAiZzy8TmCGp8NZs/ndip7o6BeuNp9FIDJQGoQS5ToY4HdA4sEjkbCdGqqmLkA6KtL51wQqDCMMyKPSsLuSjlebSxXnqjQ6Fwhr5CO8857oBcG0GoAlQqo7SLUAhMFcaQXWTDFJC4SOp3xCjMU3N0JDH2bM5Xnl5ACmKSLki8BSdwwteIoguMdSnCFYV+LPRqr5itOwtrU5AJmWTcq1tJV+nVxpz3XgNrTWh1LxxdZappXnGMzOM5DqEOoPtmliOQRypLS0aWkMcaSzHxHFNCtkI01QstQzOL9t4scAyrBVjYYmm9xoT7bN4qk3WLGDK9QWfbGmwFHjX7ymVcegZyK+bCyC1gdMqoIVmaegsjdL0rhoLoR+BgIeeOrhrY7yTa6GH7bzuFhJDIWHfkDJy5MwynbgbMx87YOG4Aq+z+QeMQrGYq+GbAe4GjAQAKyUxbUkcrD+eFAZhrLANg7RlYdRtgkxAfWQJLbYYJ9XgmQot9M2VDit0mj6FcoZcafWGSrOzVRYWG+Sy7sYTKrXHtceARqF1C6UaQIzA6iZsvONSkm7yZvMdXgjb1pRKIW+8kWdy0kUIiZQZpOxFa4Ufvslg+S0sM6TzDq+CEDZa+2jd3ti8d5DleptDo7309uTw/a17hbK2jWUY+DeodHbimKm0T6XZ4lhxgaLTxlMZQHSrErL2dWNBbcCbdQ0Va+JIYbsGTtYCAZHQGBLyjqbuSybrLkFsAJK2znK1M48fLZExchsWkbJkt+lZpN/+TPcNFTFMg2Cd90ogsL0sQkmWBs/TLM5u+P42y/z0MoOjZQ7cN7RrY9zLJIZCwr5BCMF49mEiFaC0olg2GBy2aNQ3v8uspVq0bQ832piRAN16fSdnrIi2rP7QvpYoaQiTWGtyjokpBVJIjKaNV2zT7m1ser5adztgeWa8qpGglEIrRf9IedWHfLvlc+VKBdOUayYu3novoIlAyJVQQxOlO4Bc8SCsfa4AquLW8EihEBEEkm9+s0Sn0328CCGQMocUeQZ7LzFYvspi9Z3xBwOIQe9teVuw0qPjiQdGGB0r43tb72eQsS16UinaYfcaIYq5TEDH1BzINyhYy/gqzY1vrJACN2fjZKxuB9OwazCs9unTdA2EKOwu2m7Wws3at3wepIC0FeFHJqcqgnqgmAo8fC3JCA/B5t/jGz0exZ4sAyMlWg1vQx4Yy88glGBp8Dyd9PKmx16PRrUNQvDBTz22t50t9Q687hISQyFhXzHsHiVjFmhHNYQQHDpqI6Wg09n4Lt03A6qZBoaSN1U2bAQ7bXSTGtfwKiitMKRJpLq7rYxt4UgD1zCIIjBCg+ZAjTC1uRCEHyssKQhdjb3KnNt1j3QuRXlg9bKzq1eX6HQCMptK5lp5WmmN0k20DlbCDOu/ZzaKKtaqz7rBQZ+rV1OcPn1ziEQIC8vs4eEjs3hBlSjs3PjblfnsXdY6QKXaYqA3z7HxPkbGyggpCLfY4EsgGMnn0RoiFTMVt+m40J+X9DqzxNpCrZI/LoTASVukCw52qvv7OFRE73jFoeqWzKbNlWOtmzIKr/3VlO46tXvSguUOvDof0opC0oYLxGhVWalRXZ9uyam8WTxMCMaPDpArpGjWOmuffAOWn0HJiOrARWK5c82l4kixMFvjyQ8c49ijozt23Y1wD9kJiaGQsL9ImTlG0w/QjutorRketTh01Ka2HG9YnrXmtohljBVvfndhWJJU0ezu6t4x3rV9nsQiVppSysY2uoqAebsb35aeSWxHtMub8yq0o5hyykUbYL5jKx/6EUopxo4NYFq33lOnE1CpNEinrC0o5GmUbq8YCTcvPLfDRBMKwWq+HtPUuG7MiRNZwvDm6wkhuG9c0FdsMl2poW/xIOxd3DYII9pewHseGsO2TI4cHaB/IM/iQnPL1+xNZ8g7NrNxhyXtk7Ut+gsNLOkT6NvrVBimxM3aZEou6YKDm+16GpxM13OQLjhkii5Oxkau0iXRUhKhIdIKU0ocw8C1YmZbmnbH6X42hAu6031tgEApCpZ9S+8H27U4cN8gwIa8MAKB08niZarUeyY3NPZ6aK2ZvrLI8IEenvvko/u6/fXdTmIoJOw7xjMP4RoZWnEVKQWPPpmiVDZYrqwfgghlRMvtYMZbbyTl5k3sjEHkK260+5WOkcIkjAUZ2yTnvF1SmDFNbEMSxBrDN/FKLWJrYztTP44RAgYybjd0fcPvtNY06x36R8r0DZdWPb+y2MT3Ixxns90IBVoHaMIVT8Lmzu7u/1c/qVQKWVhwmJi4tYdFJqX4wOMtojii1lxa2d0quo+jne3nsRZaa67OVjk23sfTD3X7ztiOyTPvO4Lvh3Q6W0tKNaVkoJBjHh+0ptTrkLcqRMpmo2+wkALTNrBTJk66K85kp0xM20DcRuPB0gJDCSIBrmmi0PiEmBIWGjbd9VyuOJHWN2S11kRa0WPf+jcE6OnPM3KoD6/tr5uvACC0gem71Huu4qWr6x6/3txmrlTI5FN83996D9n86nPcVbTY/usuITEUEvYdJXuQY7n30I7qRCoknZE8+mSq2ya4dXuXacvxiKTaVgMpIQTpkoU0BdFKCELpbm4C2sKSknLK5cZntiEFPSst0mNPENsRXnH9xLwgVjSCiLFMhl731rBBs9omk3cZv2/1hj5xrJibq2KZxqZ3VFq30TrkWmLdTmLbGq3h9OnVEy8fOtTkkSMd5pYhjKpACFhrNofaaSq1Npm0zcff/wCO/baX5vEnDvDQIyPMTC9fb5i1WZZkiJZgpy3KpTaW9Aj17tf3SwRO2NUEsQyJr2JCrchYEESCmfqKISlM0O3rJa9r4akYRxoMpNb4mwjBgWMDDB/so930CDbgWTBCF2WENIrTm72961wzEizX4pN/51kO3n9nEhiT0ENCwh3maO5pBtxDLIczaK0ZPWBx/8MOzXq8Zr6CRtN020gttt2kxnQk6ZKFVt14cVcIykZiUE47OKu4frOWRa/rghZEIXTya7uwtda0wohGGDKWTfNAKY8pug2nrj1AWvUO0pAcun94Tcnmdsun3Q5wU5vzJmhilKqAkIgtPgYEIG/zuMvnI65eTV1ParwRKeHDTy4zUPKZmPOJ4yZCpugKRe8uzbZPvdHhg08eYXzo5g6Rhin5vk8+yoFDfUxcqRAEm8tXWGi1uNBYZrxcpDyUx2QBrSV6Dx61XhRRUBYZaeGh6KioKzwmwLUUjY6kHQjA7Jah3qbCRGtNIwwYSmXJmWurgAopOXT/EGNH+um0A9pNb81jYUXvxE/RyVUI7Nam7zEMIiYuzONmHX7w7z/H/Y/fuS7EiY5CQsIdxpIOjxQ/hCPT1KMKUgoeeyrFsYdc6tV4VSGmWCjClY6QO4GbN0iXTaIoJgoNJCY9aYecvfqiLAQUHYv+dAo7NmnbPpWogxfFhEoRKUUQx9SCgMqKYM3RQo5HyiVMKTEQWFoSoWnVO2ilOfzgCD1DxTXn2G4HxLFav+nRO9C6gdYdBCtx800+tCIEltbdWgUNzUiy4FtMeTZXPZspz6ZlSJZbJguV1d+vQjbi+59bIpf2mJwPgcKOezbeSasTMLtY572PHeCDTx5e9ZhiKcOP/NgzHLt/kKmrSywuNNbNj4ljxdxsjdNLi7hFl2cfPchDgz2kDY9OtPsuZj+KkAiGU1lGZJqOjgl0jLnyfloGREpQbRusKFytkh/yNtXQJ2da3J8vreupkobk4H1DHH14BCEl1UqT+DbeGCNyiE2fdn5hw/entaZaaXL10gJjh/v5mz/14T1PXryXSSScE/YtPc4IjxQ/zOvLX6YRLpGzyjz1bAop4cxbPmGgyRXebuIUmhGxVJjhZmP1a2PkYqzAJm4JskjyjrXuWpazTFwyLJltciWD1pLGD7v5DkIIspbFaDFNfypF6oZSRomgHJmcChr0YHPk4VEGxsprDwS0V2QON+NB0egVrQQJwgJ9TRlh48ZGiKQU+1zuOMwHFoESRO+IuWoNUd3gv5/p5wNujQezHQad8Kb378Cgxw98YJYvfKuPK3OSg6MKYwudGzdCvemxsNzg2UcO8KkPPnxbFcZSKcPf/rvv4+XvXOA7L17g8qUFXNcinbFJuTZCCpRSdNohrZZHGMYUejKkDxa4P2/j2BYDpqCtTebbmjiKcMzdedz6Udfr0ZfJkLVt0miuxi1akm6H1JXjLEOz3DHoz0eYUnZLUd+hxay1ph4GCOChYi9Z6/Y9Ra4hpGDoQC/5UobLZ2epzNUwLYN0xun2vLjxWAQysmkV58hXxpCriIvdOJ9202dxtoabtvnwp5/gvR97cENN0XYfwfaSb++eHIXEUEjY1xzKPE6kQt6sPk89rJC3enjymRTptODUCZ/52Zhyr4FlCUIjQgNyBxxlGo0X+ISeyUBfid6xDPXpKtXFJrliGtO6fQ6EiYFjSg72uxTtApHSKDSmkLimgbGKtdFqdPCbTYwxi/seGr+tJ+EajUYHc9PehDZaewixkmAnnJWYtdzQsytSgpoykC0L3xfYUuNKhfmOVAetoSolzWWLry/l+XY1y4O5Dt9TrlO6ob/BoaEaP/jBBl9//T1cnFxksDdPLrNz7YpjpZieqwHwoSeP8IkPPLghrQnbMXnuQ/fz8KNjnDk1zemT01QqDRYrDbTSSEOSci0OHu7jwYdHiUoGF48fpz+3UhaqW6QtSU8mw2KrTTsMcU1zU91Fb4fSGi+KsKS8biR0x4VMKPENA9/QGGhMLXBMaAWShicppQ0gWnl1DetIKaqhjy0ljxb7u/0dNkkmn+LBJw8wN7XE9JUKjZXyyVTGuUnjwAxdQqdD6LRxvFvHiWNFtdKkvtzCTdkcfWSU933vQ9crLfYD2w0f3E2hh8RQSNjXCCE4lnsPUhi8WX2epWCaojXAg4+mGBiyeOOVDtNXQ1xXEg+tlYO/OaI4pt0JMTA5PDzIfWPDuI5Fe7SHK2dnWJipdndLWXfNToPXdvhKKlLr7CSjMGJ+apk41jz1zGH0QIti38ba9Pp+tIWwQxNWTCq4pororfzsdg2koBUbLEcGnhSkiSma8ZoeFiHAMjVuqDmY8mnGkldqGSY7Nh/pqfNItrMiZBswPjzA3+6d4NUzT/DKyVmq9Q6DffkNi0etfp96xYvQZKS/wPe+734eOrx6UujtKBTTPPv+ozz7/qO02z61aoc4VliWQaGYxnW7C+1Xzl1Aqa5aZ3cC3Xh9znawpUml06YVBBhSYsnV25lv9L5CpYiVImvb9KTSODe8T4HuttzuiS06KOpGhC81htYoLegEglJagg5ROiRQglYUotD0OWkeKvTQ42y9ikAakqHxXvqHSywvNpifqlKrNK7nLximxLQMItOnES8T1k200vheSKflE0ddvYhiT5YPfPJRHnjiAEMHepLyxztIYigk7HuEEBzJPknKyPFW7a9Z8CfIW32Ue7N86GNZzp32OHc6YKkW4TsKW2kMc7MVAJoo0nS8CI0mn05x/9g4I3291xfCdM7l/icPUuxd4urFOepLLaQhSGVcLHv1BU2JNRQetabd9Fiaq6OUpm+4xAd+4HEGHu7nyssvUPU9etbKNn/7It3Y+SYeoN220p139NI2ut0jtQfaWt1W0FCPDJYjk0gK0mjyOkYDnjYItLxeKmmisIXCRiEEqKibUJczFRnDZ9a3+JO5Mo2wxvsK00iZwTCPkDEq/MCHejl6YJivfvssV+eqSCHoKWbIpG5VIFyLKI6pVNs0Wh7ZtMNzTxzio8/eR34HvBTptLNmW+uJ5VrXpX+dt/NoHNNgKJul5vssdzp0oggpBLZhbNjDoLQmiGOU1te9CAXHueV98VVMrDWuMLGVQUobtEVMS8ZgKZYisINuKipxgC0Nep0U45k8Q6kMltyZElXDNOgdLNI7UKDV8Gg3Pdotn0a1TbvhoZSiqeroVh4hBamMw+EHhxgY7aHcn2foQM+dKXtMuIXEUEi4KxBCMJI+RtkZ4lTtm1xqvUk7rpEze3jw0RSHjjp8dyLgrUYLv6pRHYWUAsMAw+z+/9p1tO6W7sVxt6lOHGtipRBGTL5ocqB/kAO9o5jGrQ9MKQVDB3roHSqwNFdn7uoS9eUWzVqMYUos28S0zOuhiWtyzEopvHZAp+nTafmEQYSbcTj88AiPvu8ohx8exU11XceP9Q3xjauX1zcUtkSI1jFC3HxvQqRWSiVv7SQJ0Ii7RoIEtCHI+CHVyKambUItb9FTNNA4QuEaMZkbyvCkgGE3pBKYfKWSwxRZ3tc7jpBliBZQao6HjzzLkbFezl9Z4LXTV7l4tcJcpYEUkHJt0q6NZRpI2XXfxkrj+SFtLyAII6SQ9BQzvP/xgzx8ZIiBno33NtgqkVJcrdXI3NIT/W1DUQhB0XXJ2jatIKDu+/hRdP0IQ8pbjAalu59NWBEtMg3yjkvGtt5hlLxNoOKV8br/trXE1pK8MqkGEAWaR4ZbWNIj5RTJ2v1kTGv33iMhyORTZG5Y9OMoZsGboefhYT5c/EEMQ+JmnE17x+4s223stLVzP/vZz/If/sN/YGZmhocffphf//Vf50Mf+tCax/u+z6/92q/xO7/zO8zOzjI6Osqv/uqv8o//8T/e8JiJoZBwV5EysjxZ+gQD7iHONV6mEkwT65CMVWBkxGS+apLu6Xad7LQVnY4mDDS+0jfFBIUAaYA0YzK5mFTapK/Qw2hxHNdYf4G2bJOBsTJ9IyXqyy3qSy2atTbNehuvExDXY1pFj/krVcK5brKZm7bJ5FKMHRtg6EAvB+4bYuhg7y0P6KcHhnlpeoJ2GJK2bpOYKQRSClS8cdnjbrfIGHjngiYRIt0NS7wjwc2PJdWwayQIoQmUpOk7tJToeg9QSPT1U7TutpTytEHdtvBDSXE5pK/oXT+mxwqJdczXl8cZzQ0xnun+Io7nuu+VbfHIsWEePjrE1HyNq3NV5hbrTM5WqTU7NNoeWumVPhIC17Y4OtbL6ECR/nKOI2N9pNydS2pdj6V2m6YfULhJC2P1ZDdTSgquS95x6EQRQRzjRzH+O5ovAZhCknVtbMPANgxSprnugh6tUcIiEWSkoN4xKIs2PakYYbtgbCxhcScxTAPXdsEMya/R5CzhVn7/93+fX/zFX+Szn/0sH/jAB/iN3/gNPvWpT3Hy5EnGx1cvFf07f+fvMDc3x2/+5m9y9OhR5ufniaLNlf0mhkLCXUfXu3AfQ6kjLPpTXG2fYqp9jkAvE6o2wg0ppG1KwkBrSeBrorDrpo91hCJGCI1lC7JuiqLdT87qwTE27+aUUlDsyVJcaf0cxwqv5dNqeyxEy3z8/mcZMfswbYNCOUupL79uIuTRYg8HCyUu15c5VLh91YPrWFQ31cjoNscKG7gm8WuCECgtWI4MYg221FSkjY4EVhTjsHp+ghBdiWeTGBFpQil582KJ8YEmR4YbSKHRdOizXa74Bb6yGPH/uAaGcIjjyXdcSzA6UGR0oAi8nXfgBSFx3DUUTFOSz7g3CSftNUEU40URsadohAFpyyJvmNyu7lQIQdqybjIGY6WvS4ULxM09FjaIuk2WnCE1SkOo9Erb8Dv3ngkhie9AW/EdY7uqSVs49z/+x//IT//0T/MzP/MzAPz6r/86X/ziF/nc5z7HZz7zmVuO/8u//Euef/55Ll68SLncfZYcPHhw0+MmhkLCXYsUBv3uOP3uOPfn38uV1iWmO8+jdIAQPpEOQWukrXFs0V1UhEPKyOIYGRyZImXmMcTOyQYbhiSTTxGnFAOqh2cOP0Te2tyOyZCSD44c5GJ1iVYYkLlNiVoun6KytPHeBKv3JXwbIdLdY7QH2qQVG3ixxJKaGhYhkrIf4q6Re3HL9YBC9v/P3n/HWHrf9/3o6/t96ul9etnZvsvlsiwpkqKsLlmyY8tyU35K7CC2gxhGguufgNwrAxdwC36+yAUM4+JGvnYCBz8n+SWyHVdZjbYaKYqSyGVbcnuZ3uf0c57+vX+c2TKcmd2Z2ZlZLjkvYADy7HnKac/3/XzK++MjDMW16SSgONA7h5Q2QutmIGZwuRnyei3k4ZR2xzHTQggyqRgZ3j6560gpnh8f5Y35WYTsfM8MTVK0FUdSGgkz2tCgLWBZGOxcmkTQifhE4XK3g9i7m7/X1Gq1Ff9vWRaWtboOxvM8XnrpJT7/+c+vePzjH/84zz///Jr7/tu//Vsee+wx/sN/+A/81//6X0kkEvzkT/4kv/u7v0sstvHf0J5Q2OMdQULPciz9MEPxcSp+nZKVJVBepx4B1endFhJdbLwo7m5ohS55M01K31qdwanuPt5YnOWFqXEO54vrFrzF4x0Rcf013pk7L/BCJFAIlHJoBAYCaCudlqaR9EISwcZEgoo6Doy6FWGYnXkOYzMxMokc3YUMQpiYAkwheLni82BSorO1yY33km+PXuVrVy4TKkXBimFoEi8MmWq2cDybU10+lr57ff93LI4UIIUPItnx0bhHKBVtq0jfbbarPXJwcHDF47/5m7/Jb/3Wb616/sLCAmEY0t3dveLx7u5uZmZm1jzGlStXeO6557Btm7/6q79iYWGBX/u1X2NpaYk/+ZM/2fC57gmFPd4xCCE4nBrkW/OnEQhMuX29+JtBKUUrcHiqcGLLokSTkh/ff4Sr1TKTjRqDqcyaz4vFTXRdEgTRBlsJNziYSMRxIh0vikAoGlLDiCIybrjh+90oEEhdoZkREGCb4PpJrkz3kssEXJ9hVTQFk07EaEtwOHN/XZIanse3Rq9iGzpxo2PGJYTA0nXyWpKlZpWZpsvw2h/fjvDW6aO3EqlOU6wUAchdPKk1CJRPXNu8V8M7jfHxcdLpm+3Qa0UTbuWt1xSl1LrXmSiKEELw3//7fyeT6Xzev//7v8/P/uzP8h//43/ccFTh/vpVbpAgCllwG8w7deadBm7kE0YRutTImDG67BQlO0XaePuEL/fYHo6m9/GDpbM0gjYpY3cGDL2VetAiqcc4kh4GwHN9yvN12k0XFSk0QyNbSJLKxm8rJLriST45cpj/6+yrlJ02OXuNSYyJTrteq+ViJO/8fd6Mg6OnDCIi2gIiAXnHR4+uey3caT+K0BPE8h5SDwAdIWKkEwaVumS+HDHQ1SncszVBoGDaVRwRdy/uokhRbbRZqDRxXJ8g6gz00jRBKm5TzCVI2NsTWbpSXmK+1WIwnWZivkoQRhjL3TKakOjSZLblMJzeXBvr3WAttzeqNQ7pBQJDj0iYEeJeC4XIp2B13/mJb1u2x5kxnU6vEArrUSwW0TRtVfRgbm5uVZThOr29vfT3998QCQDHjh3rTE+dmODQoUMbOtN3lFAou03eqE7x4sI15pw67dDv5ORQN71kFOhSI6FbHMv08HB+iAOpEvo29Q6/k4nCJSL/NcLg6rJpDwiRRNNHkMZJpHb7wrvdoGRl2Z/s443q1XsmFJa8OkdjQ0ydnudbr55mdmLpRkukUh1HPztuks4mGDnWx5GHhuhbo/sB4IneQWaadb5+7RKaEKStlQuplJLu7gwXL87c9s7iJhsPNXsh+ELgSp2kGxHzNDodE7dW5r/1eMvTNiMBAmI5gRCpGyFuKUDTFFMLGn2l6MYETg2YcRSatrUhP422y7mrs4zPlBmfrVBrOrQcjyjqLJZKdS4Aui6J2yb5dJyhnhwjfXkODpW2bOzkRyEKha3rJCyTatshdst7rMkYvmrSKSLdne4CU3acP0Mi9Le4lLqBJGm1idsxkMVdOZ+1UKrjLZ0xcvfsHO6aXS5mNE2TU6dO8cwzz/DpT3/6xuPPPPMMn/rUp9bc5umnn+bP//zPaTQaJJOdgusLFy4gpWRgYOOzMt4RQsEJfb47e5Hn5i9RdpvENZOclaBPM9fM1/lRQN13eWHhCi8ujrI/VeQT/Q8ykrx3P5y3M2FwldD9AaF3GqWW6Fzwrl8MfULveYT4Cpr5KJr1OJq+9rCd3UAIwcPZw1yqT1D1m2Q2WUh4tyy1a9Tnmlz+4STnr42jaZJkOkaulMSwOvn+MOx4KlSXGnz3q6/x0nfOse9wL09/8iR9wyu/g1IIfuLAMfwo4pvjV4iUIvuWyEKxmGJsbBHH9YnZt1+MOrbN1xf82y+ODaXwdIHlQM4RSGHQ6WeIlhOsEaxyUJCAJHQlZlxgpVYbOMUsRaMtaDuCRKxztYxpMO1IhOy67TndilKKqfkqZy5P8+qFKZaqTaSUxCyDhG1QyCRW2FsrpfCDkJbjM7tY49rUIs+9Iuktpnn02ADHR3rIpTcuLlXUpMue52j6Ct3mm3x4oMZSs0bMtAkinWaQ4FrVIKkrUA0QuyOkTSHRhSRQirf6jrmBYH+hjdQH7mnHg69cDGGRvp+Fwj3gc5/7HL/wC7/AY489xlNPPcUf//EfMzY2xq/+6q8C8Bu/8RtMTk7yp3/6pwB89rOf5Xd/93f5l//yX/Lbv/3bLCws8O/+3b/jl37pl95dxYxjjUX+fvI1zldnyZoxDqa6kHeoMDakTt7SyVsJ2qHHxdocU61n+ZHuw3yg+zCWdu8KfN5OKKUIvefxWn8NURVkAaEdQbzl/VUqQkWLBM4/EngvYsZ/Cs187z2zXB1J9PJo/gjfnX+NhGbvWrSoUmlwZuwK9hsWZtmgd38abY07Val1jJlS2fiNoTfnXx1l8uo8T37sAR77wLEVLZS6lPz0oQcwpcY/jl2m7nv0J9M3RLBlG5RKKcbHl7CtOxnnGAihoYgQ6wgFBVQATwpSDtDuFCV2EJ3tbnOIKAIVKWL5tYv9DR2abWjdIhR0QnylwwaFQr3p8M0XL/Ly+UmabY9s0mZfb/62hj1CCExDxzR0sqnORdLzAxYqTf7mW2d49vRl3v/oQR5/YGjdCIOK6oT+6wTei6hwioJq8JGeWSqug2ZLKraHpWtIoQiiiMdLgoRhQ+Qw7wyx4PTTCpLsZGeDFIKkZrDoO9wqBjvFdyG5BBt+n3eKZlAnqadJ6/evULgH3ZF85jOfYXFxkd/5nd9henqaEydO8OUvf5nh4U6ac3p6mrGxsRvPTyaTPPPMM/zbf/tveeyxxygUCvz8z/88//7f//tNHVco9fYdTVGr1chkMlSr1TVzOG9Wpvhfoy9R9loMxfOY2tZ0j1KKRa9J2W1yqjDMTw+fIn6bGezvFgLnO3itPwdhIWTvHRd+pRQqmgblYsZ/Dt1+/y6d6WqagcMXx55hur3IYLxrx0VLeb7Oy1fPIxc03tM8RmKT9S9KKZbmajSqbR79kSN85KcfXzFEBzpteN+fHucrVy8w22wwmM7caJ102h6vvTaO5wWkkrfP84fRDFFUQ4jV5+jREQlJBWE9wGlrtIRGYoPtkEqB11RYScjvf4tT9C2Ua5IH9vv0lzoRiUW3gRAG/89HPo+prR8FUkpx7uosz/zgAhOzZbpySdIJ+64/30gp5ssNGm2P4yPdfOzJo/QWb15zomCCwHuJ0PshKpoHjE6OXyRoeYJX52eZbzapNB2k6FhWSyEoxSyKcYXJBIao4UUpFt1u5tt9LDpd3CoY/Egx34LFNrhh5700Ncha0JWA2CZsyeuBz1Wnhi1vDiBredD2Aj75UIJS7sBdvV93g1KKGWeMx3If4ET28W3d953WjO08xu9998vYya1HLJ1Gk994+sd29Fy3i/s2onC+OsOfXXuRduhxIFm6qwuFEIKilSSumfxw8RoAP7vvMex3cWQh9M/gtf8ahI3Ueje0jRACofURhdN47b9GyBya+eDOnug6JHSbj3Q/zl9PfpspZ4E+e+0agO2gutTklcsXUS3BI+LQpkUCdN67QncGO27x4rfPIaXkoz/7+Io7ZCkET/UNcSCb5++vnOfFmUk0KeiOp4jHTIaHi5w/P4XvBxjG+j9tIVJAnVtHS/vLjyhgCDiG4s1AMcHm7n1DD6QuSPWpdUXCda7foigUfuSRtoYw5Pqh/yAIeeb75/nea9dQSrG/r7Btlr9SCLrzKTKezxtXZpicr/KJp47x0OECofssvvMPoMogcgjtAOKWsH3Cgsd6+5huNHhteoZK2yFj26RMi5iu40cCT+2HaBJLOvTEJuiKTTHX6uNa/QgVN8ZEHaYa0Fh2u9Zkxxw4VDBRF8Qq0JNQDKQgbd35E0loOnFNpx0GxJdvoGrtiOGipJjZWh3IdtEK68S1JEOJg/f0PPbYOPeTsfYNFpwGfzl2mlbgMhTPb9sCENdNBuN5Xlwa5Rsz57Zln/cjSkUEzjdBtTcsEm5Far2gHAL3Wyi1cXvh7WY40cMne5/CkiZT7QV2InjmewGvXbtE2Ap52DtI1r27dq9EyqbUl+X0c+d588Wraz6nK57kF48/wr944FH2pXPMNutcWFpAS+sUS2nqDZfoNu+7EHGEsAiVTxOYpyMScsAppXhMKVJASr85F2MjRCGEviJRUpi3udG63n9+I7qvXJzIZDh1YN3fsucH/N2zb/Dtly6TTlgM9eR2ZC6AbRoc6C/geQHf+uE/cvnyf8Bv/QUgENpRpNazQiRcx9R0hjNZnhocoiueIG/HiOvGjS4TISwQedzQoOLlaAdxehNjHM29QMOd4MKSwgsVWUtRiEHWEmQsQd4WFOxOkPtqFU7Pwlzrzh+IFIKcbhHRcWIMAh+QHOzpQch76Z2gqAcVBuL73wH1CWIb/u4P7ruIQqgivjZ1htl2lYOp7Q8px3WTopnku7MXOZzq5mD63uby7gVReI3Qv4SQmxcJ1xGyh9C/RBReu6fFjYdTQ8g+yVdmvse11gx9dgFrm7ztndDjtbHLuIs+D7mHKAbZbdlvMh2jUWnx3FdfZWB/F7nSavGhScl7egc41d3HpcoiL81O8dr8NKqo4zuCsWaVbCKOgbyxWCkUAQqPkFDGUKGPrqArgGIIWQWWFPiawpSQ1AWGULQ28BOLQvBbilgOkqXbPzcIOyIhbqvlaZYNItHFQGJ4nedHfPX5s7zw+jV68imS60xv3C6EgIf2T9GV/gaVagNDO05P8Q4vapl8PEYmZlNtO+TeWiwm04ADUQ0/splrFwnDKu/tfZVirMyLs8cJ1eowjBCChAFxXVF1Ba/Pw0NdimLs9h9MRjdZ9HXakUOrbZJLJugvFDb6NuwIjaCKJWMcTJ64p+exLdyLIoV7xH0XUXhtaYKXl8bpj+fuWLS4VXJmHCcM+Mrk63jh/ecUd7eE7mlQbYRMbnkfQiZBtQm909t4ZlvjYGqAnx/8CEdTQ0w7i8y7ldv64d+JSEXMO2XGq7NwGR6YHqEr2N67o66BHPNTFV574eJtn6dJyZF8ic8ee4j/+3vez68//jT/+qknORIr4NY8QiIC0fmLhMIWGj0qTo+TJ16xMOYCGvMaV5c0Tpc1frCk8dyCzg/LGs1AwyBCKLidGeN1kWBnITO4fl3CdVxPYJlRRyioFu3QImb0MJBYuyvg2dOXef613REJoOjOvM7+rm8QtwSVRj8Xxqos1W5vLX0dKQT78zmEAOctg3cEEmQJRAqUy0JLMd7I0g7jPFS8xnv7zqDL9a83QggylsIP4c0FcO7gkKkLSY8h8XzwVJyTw90Ymxy/vp0EkU8jqHIs/Qhddt89O489Ns99JRQiFfH9hSsIILGDlqhCCAbjOa41FzlfW9sa852KUgFh8BrI7N3vTGYJvVdR6t6LrW47z08PfIhP9D6FLjSutaaZbi/iRRsfqORFPtPtRUZbs+jS4HB5iMLLGXpT23+XJqUknUvwxotXaTWcDW2Tt+OcKHbzUydO8H/87D/h5zJHODqW4H3tbn5UDvERBhmqJ2nN+VSXAkw/Q0JBxvApmIqiqUjrCk0ollzBlYZGyzOJoghXrV5glILAuxlJyA6BvEOMUilwfUFvIULTApRqUw57GUnuY98a7cmj00s898oVMgl7F0QClFJn2Vf8DqHSaHklEnGLIIy4PLGAF2xsgFFXMslAJkPDdVcJUoEGWhftMEnLj7C0ECewWXTSHM+P8UTPWaRY/zjXxULdg9nbaRelIKqQkArf66anqDHcde8CyJ2C8Vl67WGOpR+9Z+exnaht+LtfuK9SD9cai1xtLNBt77ztp6npoOD04ignsv33rNVv11EORG4np3qXCGGB8jr7FFuPTmwXutR4PH+Mw6lBLtTGeLVyiRlniVBF6EIjrllYmolcDtVHKNzQoxW6BCpEE5Ieu8DJ7EEOxPv5y7/4FqlkbMe+G7likokr81w9N80Dj41sattCIcnP/vwTfPtbZ3n1lTEWlhrMmj5Lnktc1ylaNkLEiEKPKFpCoXUaH0XH0yCmdXLbc5HA9wSRITBRGMu3FioCr6U6hYu9kOy6cyQBOi2RtqnoKoSoqEpAESVLnCqMoL0lQuh4Ps+8cJ6W4zHSt/MeBOnYBPtK3yFSGm3vpvhLJ2wq9Taj00scGtxYCuJgIU+53abqOGRj9gpHTIFGI0gRodCED/i4ocFiO8Xx/DWavs0r8+s75kkhMKRisi4YSKkbXQ03UC6oOogME81+jhSLHD84y6I3TZfVv2OR2NtR9uexZYxHcu/FlLs392JHeRelHu4roXC2Oo0bBsR3acBKyUpyqT7HvFuny357t69sH8HygKHtuJjI5WmF9z6icCsZI8njheM8nDvMaHOGObfMTHuRGWeRVuB2DIXohIpjmslQvIfeWJEuO8tQvAdD6izN1aguNUlmds79UdM1lIL56TKwOaEAkE7H+PF/8giprgT/6evfZ6HcIm/ZxEzthriRMo9SLko1USK2YkGTArps8NuK+UBQQZJTEcqDKOy0QKZ6FeYGNWAQdqIJhwd9EtYSkGDG7+WB7AAP5QZXPf+F10a5ODbPUE92x4W6Jh2GCt9Flw41Z2VYXEpB3DaZnKtSyCTIb8CUydR1DheLvDY9Q931SN/i3x9EEQ3Pw9BsEFZnrDc+TqjR9G0eLF5hullgtrW+OEoYUHMV5bagGGe5hcQD1QQkaMPMtHvQNIOfeuAEQ8WHeW7hK8y7U5Ssvl0VCxVvAZTi8cIH6bL7d+24O8/2WDjfD9xXQmG0sUh8F1sWk4bFnFtn3nkXCQVhI4TG9izuQWdf2+DfvxMYUudgaoCDqY6VaahCGkGbcLljQBOSpB5bc8Ld0lwNp+VS6t1Zv3zL1pm6trDl7Ruuy8uLc+T60vQGGRbm6tRqbaSQ2LaBYWhoWjdhOINSrdViASga0G6G1CKNJSkpmCGpAsTysFEvqyCEakPSnQ8ZKC0ghM1CeICsmeMTfQ+u8kBptj1++OYYqYSFeZtWz+2iL3uaTGxiWSSsvoDblk7b9Zmar25IKACUkgmOdZd4Y2aOmuuSskwEgiAKiZTC1LRO5aRILkfeXGqeRW+izKmuszwz9jh+tHbhrS4FkVKdOojIBVzABNkN+gCzzRhuGPDTDx7j4b6OB8p7ix/j+YWvM+9OUtqFyIJSirI/D8Bj+Q8ykjy6o8fbY+e4b4RCK3CZd+u7Fk0AkEKilGLOqfPArh31XmMhZBdRcAUh7y73rqIaUh8B7o9QoyY0MsbGbo8btTaKjsviTmLaJpX5+gbnOKxEKcU/vn6Ja3NlDveV0DRBb3+WpXKDhZk6jYZLu+0t++5nl0ehOAgMFBpR2ImOSiEoaCD0kKalEaQlZi7asEhou9B2JF05j6PDC+h6gqXoIBEJPtl/cs0ixvOjsyxWGgz37nzKIWVP0pt9hbafIVLrXxLjtsFStUmz5ZLYYL1EXzqNUnB2bp6q45KxLaLl9tCbgkx0IgvCAuUz39IYSC5wPH+ZV+f33bK368+/HrOWBFEEwgRtEGQPkUgyVa2jCPn0ieM8vW/oxvemZPXxvuKP8b3FrzPrjJM1i8RuY251N/iRx6I3S1xL8lju/Xsi4T7nvhEKZa+FE/gU7d3NdWtCMu/Ud/WYW6Xdclmcq7M0X6fddomCCKVA0yWmZZAvpcgXUyTT6zvZCSHQrSfwgnMoFazZM74ROgWMHrr15DuyviMKo13JMQrZcQ2MIoWmbe59vDpf5geXxilmYiz6FWYbS7QCB3Qwhwz6ZJpYECN0IppNF9dJ4PsLKFVFSg87ZpNISGxbEIsp5sOI09MhbiCoNQWahERMsdYNf6doEVqORNcU+/oa7OupoZslpv0+TJniJwcf4vHC6pRKFClePjeJrmkrZjXsFF3pN9A0h6Z3+1kvlqHTbHvMlRuMbKKwsj+TRtck5+cWWGy1MDX9xrC6VdM8hUFAhlakOFooc676MG4ggPC6uqAT59FBgGZ2gdWFQNLyPMaqi5QSCX7i+FFODfSt+u0VrC4+3PVTvFb5PpeaZ2gGNfJm97ZFF5RS1IIyrbDBgD3CI7mn7/MJkbdhr0bh7UcQRYQqQtvlRg1NSNy3aYukUorpiSUuvjHJ+JUFFudrtFudKYVCiJsTM5efq+sasYRFJptgYKTIwWN9DO0vrZpHoBkPImQJFS0gtJ6tnVu0gJAlNOPeODPuNJoudyXFqCKFNCRSbv5gr16bouq0WdIaVFoNJGJ5jomgHbrUgmmSWoyDXYP0G507d8U+onAWP7iAisp0IkwJBJI+NLTeiNdmFFYqQFOSVlsSRp3lTizbPEfLHRKmrugttOkt1smlNJocouymGUoU+dG+B3kgu3a+enK+wtj0EqXczg/0so0l8skrOH6WO36gAixTZ3axzlBvDk1u/FrUnUyStiwuLiwyXqkSRBFaJJDa2mGZmpeiJzbPUKrKxepqu+VIRQjpYulJoghm6jXavs9jA/38+LEjdKfWv6GK60meKHyY3tgQr1a+x6wzjqXFSOs59C2aMUUqohFUaQY14lqSx3Mf4EjqoS3vb4+3F/eNUOhciHb/zlSh1pxAeS9xHZ/L56Z54/Q1rl2apd3ysOMm8bhFsSeDaepAQBg1UMq5cecSBAq3HbI4X2VidJ6XvnuRvqECDz42wuEH+kmkOrUEQqbQzMcJ2l9CydymOyCU8lDREnrsJxBy5ztU7gXpbAIpBEEQom9xRPFGcFoeffs2b1Feb7ucvjZJTVTwvDYZI7HirtGSBgpFzW9xoT7G8fQISb1Tn6BpPUiZJQjGCcMJVFTufINEjO6Yyf6ExNA1YsMuMzWB8CTKl4iwk3K3zYCE7RCPOQjTpK26Gfdz5Kw8H+ge4iM9x0mb69tczy7Wcf2AmLXzi0w+eRlTa9LyNpbiMA2NthvQdvxNt2vGDIMHe7opJuK8MDZOpe1g6wpD09DeIgQjpREojUPZy1yqjqDecoPU9HxsTaPhulTaDl3JBJ86cYz3DA2gb0DACCEYThyiZPVyrXWey403WfJmUUBCT2HJGLq4/YCxUAU4YZt22CCIfJJGhgczTzCSPELefPcZ1b2TuW+Egqnp6ELiqxBzF087UNHbZkCUUoor56f59ldfZ2psESkl+VKK7v4cQgiUcvHDGZruVEck4KHUrT3ZEmmZxO0Y2a5eQq/A1PgSo5dnKXSlefqjD3Di0X1omsSwP4wKRwm910E/sDyeeCPn6KGCy2jmgxj2h3fmjXgbkO9OE0tYtJsuqR3sfPC9YNXo6Y0wV20wVS/j6m2ybxEJ1xEI0kaCildnxlnkYPLmfHohbAzjELq+jyiaIwgniaIqRDUytkB68NneJS7ldM7Udao+tEOxLCg0HCx8bZikVqLbzvNwbogT2QFKG2htni83QIgdvzGQIqCUOocXxthoeMjQNBqhR8vxtuTrIISgL53myaEhXhgfI4oUXhDiBp0bEk1KtOXXXvXSdMfn6YotMNMqEUYKPwzxwoBy22Eom2Ukn+c9QwOc6OkibW++aDiuJzmePsXh5EmmnFGuNs4x705T9RcJIr+T3hD6copEoIgIVQgoJBqWtCmYPRxIHmMgvn/Hah7eluylHt5+FKwECd2iFXg7arb0VhSK7rdBx0Or6fK9b7zJS89fIgxC+oYLNwb/KBXg+NdwgzGiqAVIpLCRIrncdbBs4atClPIIVZ2Wt4QUNvnePnQ5wuKMw5f+5/e5en6G93/iQfLFFEb8syj1Xwn9NzvzG0Rm3Yu3UgpUjSicQjOOY8b/2Ts2mgCQziUo9GSYGVvcMaHgewFSSoq92U1vO1urU3br2LZ22/yzAGKaxYJbYSDehS1XCkIhDDStH6n1gfKIVIMMNRZqdQyxnw/3hnywR6MaGJSDFK0oTUQGQ8uSMmKU7BQ5M76pHPjYTJmYufOXJtuoYBk1XH8Tv28BoGg53l0duyeVpC+dZqnVopiI0/J9XD/ECzt/CoUTSFK6i84sS60kupQYmkSTkv3FPL/25BMbjiDcCV0aDMUPMhQ/iBs61IIyNb9M1V+iGdQJld+pd5IathYnaxRI6VkyRp6YlnhH1iHtcZP7RigYUqc3nuFsZZoSu7MA+VGIhtzQXdBOMn51nmf+5jTjVxcodqVI35K7DcIyjn8eP5xHCBtd5joVcGsghLY8WjgGShGpNo5/BU0uUug5TOBkee3Fq0yOLfKhH3uI4w8PYSV/Ca/1V4T+axBNo0QWIfPA9bCwj4qWQFVApNCtpzHjn+6M4H0HI4TgwfccYPTCDGEY7ciAoqW5GsW+LCNHNz9zY6ndxIt8MvLOd5mWZlDzm7QCB9tcO3IklivzNWERM3MoUUHoT5BcdlNMA6udEDaP4/qUa61dSTvEzDK6dGlGm7vxkFLSaN2dUJBCcKxU4uXpaZzAJx+PI0SnkNMPQ/woQilF2qrxUI9Ci/USMwwarkugFP/05IM8Mbgd7/hqLM2mpPVSsrY+62WPdxb3jVAA2J8s8erS+JZaxbZCxWuRMWP0xO7donfl/DRf/vMfUllqMHSgtCIf7gcztPw3iKI2msxurkNBCKSII5VNqGo0vVewrSMMHxhmdqrM3//Z93FaHo88dQAz8S9Q4SSB9wqh931UOMlNnwW9M07a+hS6+TBCe/e4WB58cIBcKcXibJWuvu2d9RAEIa26y9OfeAhzC4tmZ3qk2lBAXSCWo6gbi4WK5bvqHRjGiReEhJHCMHeu7uM6tlFe/q/NfV+lEPjhxuycb0fGtjnZ3c2ZuTkWWy2Spomt61iGfqOh2NCSDGeqjLomM/Umtq7z08eP8Z6Bgdvue49dQInO391sf59wXwmFB7J9/OP0WSp+i9zt5thuA0opyl6Lj/QeJWXcG8OgK+dn+Lv/+QKtpsvQgZWTMv1wjpb3OkoF6DJ/I72waYREE1miqInjn0MYgt7BfSzMVHnmb0+DgEefOojQBzD1AZT9IaJopmMTCyAspOxByHdRbnKZVCbOUx89wVe/+AJO28OObV8ty/TYIv37Szz4xOqK942QtmJIIQlUiHGHn7kfBWhCw9xghbofhOiahr0D6YEo6rSC7obYTFpzt/VNuB1RtD0qKR+P80hvL1fLZeaaTRqtFqamocmOkbgvNVDzNN1FjpYG+MDICCe636Hthnu8bbmvhELRTvFAto8X5q+QNeI7ejFpBC4x3eDkGtayu8HU2CJf+Ysf0Gq49O8rrnitUdSk7b2BwkeT2a2LhFuQMkEYNWj7F9BkimJPgfmZKv/4dy9jx0yOPzwEgJAJNLm1xeudyEPvPcSVc1Ocffkawwd7Om2Td0l5vo6ua3zgJx650YmyWfqyWTJmklZQJabdPrTeDl2yZoqkvn4nwq00XZ+4aVBMbb84lFJ0vs47Ea54C7rW2rJQ2Eq76nqkLIuTPT00PY/ZRoOZRgM/DFGAIS26Exr/auAkw/lDb7sOrD3eHdxX0yMBniodIGXYLLiNHTtGqCKm2hUeyg0wmNjekPJGcNoe//h3r1BebKwSCaiItn+RMGqgiey2iITraCKBUj5t/zxK+ZR6Miil+OaXX2Vp4f4wndptdEPjIz/9GAMjXYxfniXc4ITB9Sgv1GnU2jz9iZPsP7b1UbzdmSS9ySzCN2gE7XWf50adXHu3nV9t/rMOdcelL58mZm5/HYGhd+6mg226Y78dUoaoLYR/lVKb8lDYKAnTZH8+z3uHhnj/yAgf2LeP9wwMMZRNM5xN7omEtxvvovGR951QGEoW+GDPESp+a8eMkKZaFfpiWT7ed+KeTFr7wbPnuXpxhr6hwqqoiR/O4YdTaDK9rSIBACHQZIYgXMQLxgHo7s+zOFfjO199nTCMtvd47xDypTQ/8Yvvo3+kxNjFWRq19Rfm9QjDiMmr87QaLu//Jw/z5EcfuKuIWSZuc2p4iLTKIBBU/QZ+dPP3EqiQetDCCX0G492UrOyG9huEEX4Y8tDQzhS62aZONhWjfZddBRthKyIBIIwUqR0eeX3TN+a6a9p9d6ne4x3Effnte7rrIMcyvYw2F/Cjuy8qupV5p45C8fG+B8hbu593H7syxw+/c55sIYnx1hywUnjh5HIx5854O3Q6I0zcYBylAqQU9PTneOPlUc6cvrYjx3wnUOrN8jP/6kOc+sAxKgsNJq7M0W66d9wuCiOW5mqMXpgh15XmJ//F+3jvxx9E3nLHqpSiWW9TXWpQLzfxXH9D5/Twvj6Kdpohq4+CmcGNfCp+g4rfoBW4JPU4R1JDDCd6NhxNmKs2KKWTHB/YmTy5EILBnhxtb+fdUCOlI8Qmxa/qFH3G7d3yVonoXKZ3vrhzjz3W476qUbiOpRn83PBj/Pfw+1yszzKSKK6aPrdZlFLMu3Vaoc+P9z/Iw/mdr02IoojJsUVmJyvMTVeYGlvk9RevUqu0yOQTpNIxEqkYiaRFJhcnoo4fLiDlzhn8AEiRIIyqBOE8ht5LLGFh2gbffeYNDhzpJZneWC773UY6l+AT//QJRo718tJ3zjN5ZQ7PDbBjJrGk1XHMFB1x4LQ8Wk2XMIjIFpO87xMnefxDx0hlO+K03XS5fGaciStzTF2dp15udeZLCDAtg67+PH0jRUaO9dP71vTUMod6ijw00scPLo5ztHsfrcihHXbEiyl10kYCuYl7hZbn0/Z9fvzUURI7uFB251O7UqPg+FkysYlNbROEEbqUxO3dsSZWykEI6x3tSXLfsme49PYnZyX47P4n+LNrP+RcdYaClSBvbs34w48CxppLxHSTnxx8iKdLB3e0UNJzfc6fmeT1F68xfm0ezw2QmiDwQ6qVFnbMwHMDZqcqKFVGSkkyE6N7sIWVcjG0nb1odMZMK4KojEEnxFzqyTB2eY6Lb07xyJN7xYzrIaXk2CP7OHxyiIkrc1w9O8XElXmW5mvUq21AIaUknrLZ/8AAg/u7OPjgwA3TplbD4aVvn+XMC5dYmq2BADtuEUtYnUmVSuG5AVfenODsy1eJxV9j+HAvpz54jP0PrGxNlVLwoycPMzZfYXShwkgpR0rfmsj0w5DxhQqP7u/n8QM7K6JLuSSGruG4PvYO+im03OKmIwqeH2AaOrHdiiioJkI/jHibjmrf493BfSsUAPJWgn9x4L18Z/YCz85d5FJjjm47TUpffzrirfhRyKLboOa3OZjq5pMDJziQ2lmP8snRRb791de5cmEG3ZDkiyliiU6+8+IbkxiGRuot8+6DIKRZazM7PUkmaJNM+tvaircWQhgEUXl5Yp1A0zoTKF978SonH9u3apDUHivRNMnwoR6GD3WGajktl3azM9JZ0yXJTHyFSZNSiqtvTvLtvz3N+KVZUtk4/fu70I113ueuNEopWg2HS6+PM3phmkd+5AhPfeIkidTNiE8hFednnjjB/3z+Va7OlxkuZjddiOf6AdcWyhzuLfKpx47v+ETHge4s/V0ZpudrDHRnd+w4jp9DIRGEqI2E9hU4XsBIf2FXplp2cJDavl061h57rM19LRQAYrrJj/af4FC6m2dnL3ChNst0u0pSt4jrJgnNwpCdi0CEwgl9moFLI3CJlKLLTvHBniM8WTqwozMdoijih89d5Lv/+CathkPvYAHTuvn2Oy2PxbnamgJA1zVSmTjxjI/nwnyjSjoTJ5OLb39B4zICgyhqo/ARdM6p0JViamyBsSvzjBze2lTJdyt23MJepwBOKcXLz57nm3/5Qzw3YOhQz/oC4RaEEJ3UVCpGbanB8199jdmJJX78F99HtnAz6nSot8jPPHGC//HcK5y+OkkhGScVs4kZOjHLWFc4KKWYrzWpth1ODHbzs0+eJJvY+bSTrkkePTrI/5p8lSiKVtRrbCdtL0cQ2uhaGz+88/h6LwgxdI2u3O6MulcqAgRS2/NNeFuyl3q4/9ifKjGSLDLVrvB6eYKLtTkW3QZTXgVfhSjVcVSLaQZJw+ZAqsQD2X6OZnp3fOhTFEU89w9v8twzbxBPWqvMkwDKi3U81yez7mhdhdRDJCYqlFTKTaJIkSskdkQsCCGJVIBSwY3CSTtmEvgRF9+YfFsJhUhF1Pw6Zb9K1a8TRMHy1E9JXIuRMzLkzCyW9vYY7vVWXnnuAv/wZ9/HtHQGD25tUUjnk8SSNpfPTPCl//NZPvVLH8ROWVyaXuTlq5Ncnlmi6fg02h4TC1VCpYgZBnHLoCebpCebJpuwUUDb86m2HOqOSy4R41OPHee9R4Yx9d27XBwd6SaXibNUa1PM7kxRsRukqDvdZONjGxIKLcejmE2QSuxOGkBFZYTIIPV9u3K8PTaL4O5mzd8/7a7vGKEAnTus/niO/niOH+1TNAKXeaeOGwVESqELScaMUbCSN6IMu8FLz1/iuWfeIJWNk82vfdFr1B0QGxulrRsaQghq1RZSCjLr7PPuuH4eK2VvLGEyMbqwazba69EpPl3kYuMqlxvXaAYtnNBdZUOsUJjCxNYsuu0SR9IH2BcffNuIhskrc3zrr19EN3WKd2kDbZg6Q4e6ufrGJH/5356leSDN1fklwkiRTdj059Ps78pRbbtMV2pMlWs0HI83xuc4OzlPJmbTnUuSTcTIJWJ8+MQBHhzqoZTenTvoW0knbB49OsA/fP8C2VRsh0L9goX6MfLxawgRoG5jvuT5YWfyY2kX7dzVApr1I0ittHvH3GOPNXhHCYVbEUKQMux7Zr98nemJJb77D28SS5jrigSlFPVKC+O2d2wCFUmE1mkH1XQJSqNWbWHZBnZ8exc+RbTcMrdSUMXiFrVyk0atvaPjldc9L6UYb03xSuUNxltTtCOHhBYjptnkzAya0FY934t8nMjlcmOUS41rFMwsx9OHeTB7DPsOroU7ief4fPtvTtOsOwxvU4RG0zW8mORrXzlN+j0DHH50H7ax8nuVWxYCh3qKtFyfludRb7ssNdpYus5HThzk/cdHMLR7W4fy9EP7uTg2z8RchX29+R05Rrm5j5afwzaqtL3Cms9RStFouQx0Zylkdivt0AIMNPOxXTneHptHAOIu0gf3TzzhHSwU3g54XsC3v/o6jXqboQPrF0l6boDn+HfMS4dBHMNYvPH/mqEROBGVpSZdlt6pit8mlPKRwkKKlQtpPGExvdRkcb6+60KhHTq8uPQqr1bexIt88maGkpa/bWRDCIGlmViaScZIEUQBFb/Gt+df4EpzlPcWH2cwvnUHxLvh3OlrXD07Sd867Y2bRSnFldklRmt1pBRoozWMR9ffr6FpZOIambhNbxYipZhcqvLM6xfwdZ+B3hReFCCAhG5TslJkzNiumZAlYiYfe/Io/9dXXqRSb5NNbX99RBjZzNeOs6/0HRyvU9z4VupNl1TcYqSvsFMlQatQ4TRS34/UD+7OAffY4zbsCYUd5NLZKS6fm6Zn8PaLWbvp4vvhHTsZIj+OiC2seMy0dFzHp9VwSWa270KqlI+uda+qf9ANjTCMWJqvs2+L+fStMNOe45vzzzPZmiZnZui2i1vajy51ilaerBEw7czxt5Nf59Hcg7yn8PCqaMROEoYRr71wEc3QtjQdci2mynUuzy5hGzpWT5rmXIPaeJnc/ju/V0op6jRxcnWuOfO8cf4SA0tpkrGOUJQI4rpJ0UpzKr+P49l+0sbOFzYeGizyxIPDfOuHlzANbUeMjuZrxymmzpOwZ2k4Kx0n207H3Gqkv4C1A0Ow1kJFFUDDsD+2uYmwe+yxQ+x9C3cIpRRvnB7t3NHeYSEIgwgVqTtGBMIgBkoiRIhSnUVNCIGUgkbDIZHeWFvonU8+AiI0LbvmPwvBht0Bt4OJ1jTPzH6bslejP9aLvg31JbrU6Y/1UPVrfG/xRZzQ5UdKT2zLvjfC9NV5Jq/MUejenpx3y/W4MrOIJsWKGQxLlxbuKBTayuWqmmaWMgERtq3TaiqcquJ4voihSYIopBV6TLWWuNKYpWs2zQd7jnMqv29H3zMhBB9+7DC1usNL5yYY6MoQ22ZvBS9MMr70JId7voKhNfHDTorQcX1cP+DAQJGu/O4YHikVoMJpdPtjSOPBXTnmHnvciT2hsEPMTla4dmmOfOnOF5hIqQ0lrEIvRejHkUab0L9Z72AYOp4b4Lb9balViFQbKWIY8mbEIApDQj8kUorAD/F3wWIXOpGEZ2a/TdWrMxDr2fYCyoyRRhc6pyuvI6XgR4pP7EpofW6qjO8ENzw07pbR+QoN16OQvJkOMhImzdkaoR+irZPWWlBVLqoJGrRJEsOkswjb8Yhyw2G6XGOomEWXGmkZI23EiFTErFPjf439gIu1GT41+CipHYwuWKbOT37wQSKleOX8JL3FNIlt9hFZahxkrvoAvdlXqLZsmm6I70fs7y8w1LO6PsJ1A9qOR6vt4fvh8tjpToGvrkliMZOYbWLHjA0Pc1JKocJRpD6CEfvEPS0W3mMD7LVH7nG3zE5XcNoe3f3ZOz53w5cDJfHaRWLmNW56wIOQolO05wV3LxSUIlJtDDHM0lSTVm2BerlBs9rqDIVSikY7IFgoM/vGNfr291AaLDD8wOC2hdCv0wrafHPuu5S92o6IhOsk9DgKxcvlMxTMPCcyR3bkOLeyMFVGaNvzetqez2y1Ttw0VmSKdMvArTu41Tbx4uoivDlV4ZwaJSQkR2rFvAcpJIYmmVyqMZDPrBirLIWkN5alFXi8XL6GE/p8Zt+TO1o4HLMMPv3hk5i6xkvnJrAaGj3F9DZOVBRMLD2Bbc5hiGuoqI+DQyUGuzudKEpBvdFmYbFBudLEcQOCZeG89t46aTrT0EinYhQLKXK5+G3NrlQ4ASKOEf8phExv0+vaY4+7Z08o7BCLc7UNtzuKTcy2D5w8YWwR3WgQ+DejFUIIfPfu7/Jdr4LTUMyda1FfPA90XAZ1y0DTtU4fhBsRBiHnf3CZN757Hk3X6BoscPIDD3DkPQfJdd19OF0pxYvlV5l0ZndUJFwnqSdoBQ7fXzxNf6yHnLmzbXALM9VtE1YL9SaOF5BPriwu1SyNcCHAb3rwluxDTbU4r8YIiUiRWHMoVMIyqTsu5WabQmp14WpcNxlOFDlbm+TvJk7zmX1Pou1gNMY2DX7qwycZ7svzzR9e5MrEIn2l9LbULSilmClLxmcf42OPhDx8qE0ymSIIIpbKDWbnalSqLYIgwjQ1dF0jZhsrBNRb9xcEEb4fMjNXY2auRjJh0dOVplhIYd8yK6ITSZgAITDjP4dmHL/r17PHHtvJrpQvf+ELX2BkZATbtjl16hTPPvvsbhz2njIzWb5jbcJ1dENDSrGhMc4q0nHq/Sg0pObceFxKgXcXQkFFEdXFJSrzi0y9aeA2NNKFFNmuDKlCiljSxoqZGLaBburkuzIMHulj5MQQPSNdVOZqfPVPvsF//e0/46VnXiUM7m6q52hrktcqZ8kbq1sed4qSlafsVXl+4UUitbMjtUM/XHeR2Sz1tosQYlVFvhACBKho5V1vqEKuqClcfFLE150cqUlJpBSN24x8NqVOfyzHK+UxTi9du9uXckc0KXns+BD/8lNP8MjRAeYrTa5MLlKpt1FbGCQVhBFz5QaXJhbx/JAnTj7Jgw/8P0gmD9GovcEb567w5vkplipNbNsgl42TSFhYln7bz08IgWFoxOMm2UyMVNLCcXwuXp7jldfHmJqpECmFUiEqvApCw4x/Bt16z928PXvsJmob/u4Tdjyi8MUvfpFf//Vf5wtf+AJPP/00f/RHf8QnP/lJ3nzzTYaGhnb68PcMt+11vA42QCxuoRs6gR+gbcAIKPRSuI1u7NQUKEkUmQghli88mzdC8toelYUlQlXFqxWwjAHIrH3uUaSQUhCzb351TMugZ6SLKFIsTCzy9//pH7jy2igf+t/eR7Fv8/3vSileKZ/BjwJS9u6Z/Qgh6LILXG5cY7I9s6Ntk5qhLee17w6lFNWmg7FGIaxSCtTqiNUsZRao3lYkXEcADef247LjuoUtdb4x8yZH03274l1SzCb5uY89zKPHBnn9wiRnr81yaXwB2zKI2wZx28Q29VW/hShStF2PluPTbHuEkaKQifPRJw5z4kAvfaUMrbbHD1/7Edr1KQrZUboLWdwgz910vmuaJJm0UApaLZcLl2ao1+YZ6new4/swY59GM0/e5buyxx47w44Lhd///d/nl3/5l/mVX/kVAP7gD/6Ar33ta/zhH/4hv/d7v7fTh793bGKxNkwNO27SqjtYG7rGCrxGH0IorOQ0RCH4Btzxsr+adsOhMj+H0Bwit0TUHOR2gSY/iNB1SWyNMbtSCrqGirSbDm88f56l6TL/5Fc/Tv/B3jX2tD6zzjwT7WnyOxz+X4uYZjOvlrhQv7yjQqHYk+Hq2cm73o9SncmOa+W+QzdEs3SMWwomI6WYUotIJPoGBiFpUuL4d45UdccyXG3Mc7Y6yXuKuzNdVJOSw0MlDg+VWKg0ePPKDFcmFpldqrNYbeJ6IQJQYqXPaMwySMYs9g8UOTRU4si+rhttoLNzNb701Ve5OrpAsfBJjoxcoq/4EunEBE2nRBjenQgSApJJDctYxGl7fO/0MYZHfoYHjp+4q/3uscdOsqNCwfM8XnrpJT7/+c+vePzjH/84zz///Krnu66L6968e6nVajt5ejuKZRuEwcbC10IIUpkYtXJrE0cQuPV+VKRjJacxrDpRkNyUQGk3WtTK0yAgbPfhVbpvtF2uRxCEJOMmxm3MoWIJm33HBxk/P8nf/H+/yqf/bz9G78jGPRcuNq7ihi5d1tpOeTtNxkhxqXGNx/IPkTF2pqis1JdDhTsbewxcH8M2sDI3F7cqDWo0ibO9d/2akJhS5+WlUR4v7N/1iv1iNsn7Hz3I+x89iOP5LFaaLFQ6tRthGCFER1gk4xbFbIJ8JrHKFnpyusxff+llZuZqDA3mMXSNmcVT1JsD9He9QCY5jpQ+rpfG9VNsLnOr0LU2MbOCkBEtp8hM+XHOXCjxyrlR2m6SUw8P73U63EcIdZfOjHuphw4LCwuEYUh398pForu7m5mZmVXP/73f+z1++7d/eydPadfoHchx5fz0hp+fTMUAdSO0vzEEXrOHwEuBfpV03iUIF5Ei3nFUXKuwTCkUHp5Xo16t4TVNlDNI4KS4U2j1eoFWOn3nRUZqksGj/YydneRL/7+v808//2lSG5i6F0QhlxrXSOjxe3bRTOtJxtvTTLZmyGR2TigYtk676d5Vi6QQoGsazhrtqn7TI3egtKI1solDRISxwZ9+GCmsDY4UTxsxplplzk7N0GoGzJYbTC1WcfyAMFTouiRhmfQX05QySUrZBN3ZFMY2jyy3TYP+riz9XdkNbzMzW+Uv/+40Cwt19g3mV0ysbDrdXBj7CVLxKfKZi+TTl8gkJomUJIws/MAmCO0VIlsQoWkuuuZg6A5ChIShRaWxj4XKUaqNYcLIoq8H5ubrfPUfzqBpkkdOvnPTsXvcv+xK18NbL/jr5dF/4zd+g8997nM3/r9WqzE4OLjj57cTFLrSKLX+a30ruWIKO2bitD3im1w4Ij9BZW6YXMbG1JsE4QKBqsCNHLhgZeWMQXVGY2G0hG31wG2G4dyKH0TomiSf3Zh1s5SSwSN9XHtznGf/1wt88pc/csf3ourXaAVtUsbOTAzcCNfPccmr7NgxekdK9O/vYuLyHAP717f3vhNCCDJxm3q7ilLgOh6tuoPbdAnqLvpIjsXZKtliCk2TNFWbzdwJR0qRit35+1hvu8yWG1ypzrP06nex3M42tqGjafJGDU0QRpwZnUEAlqFTyiQ5daifB/b1kF+js2I3qFRb/M3fv8z8fJ3hwcI6Ql1Sbw1Qbw0wvXCKTHKMuD1PMjaDZdaxzRpCRFz/nanrIsKPU20M0XZK1Fr9NNvdvFWQd5VSzM7V+Oo/nCEeMzly6O0zmXWPPWCHhUKxWETTtFXRg7m5uVVRBgDLsrCsezekZzvp7ssRi5s06w7J9J3NaExLp9SbZezyHLG4uam76SAIOyOV430kzASRahOqBlHUJFJtFCECiRA2mkgwP9Zi4tUZkrnEhkUCgNP2yWVjpJIbb0frtE6WeOWbZ9h/cpij7zl02+eXvQpu5FKUdzdJ8W6xpMm0M7dj+9c0ycknDzF6bhrP9Ve1SqqoTRjNoKIySnmAQAgbKYtIrQshbj4/HbMIw4iF6TLtpouKFKodIGM6Vdeh/uIV0rkEBx8cxEl4aBusZAlVhBSChLX+511rOYzOllmot/D8kMCOyGQs+rXCbb/DSikcL2Cx3uSvn3+Db756mQdHevjAyQO7KhiiSPGt584zNllmZGg9kbASz08zX75eU6Aw9Ca2WUVKHyEilJIoJfH8FK6fvmM6D6C7K834ZJl//M5Z+nqypFL3dpjdHhvgXWS4tKPtkaZpcurUKZ555pkVjz/zzDO8973v3clD33O6ejMMH+yivNDY8DbF7jSGoW3a9bDdcklm4mRzcRACKeMYWheWMULMPE7cfJCY+QC2cQCCPOPnKhiWgW5sXCREUWeAc1cpuemUQCqXACV4/m9+SHCHwrhqUAfYtcFD62FrFhWviheu3xp4txx9dB8jx/qZurZwo7Uviqr43ut47nME/uuE4XRHLERLhOE4vn96+d8uolSnPTYTs3BqbWr1dsfkR9fRdY3M4RK5rgzJdIzKYoPzL4/ibeK71XI9kjGTXHK10A2jiGuzZV6+PMl0uY6paxRSMWxDx9C1O35HhBDELIP+QoYDfQV0TfLsmav8p698n5cuTmxLR8hGePPcFK++Pk5PVxptS0PVBH6QpN7qp9rYR6W+n2pjH7XmUGfI1AZEwnX6ejJMTVX49nfPb6nVc489doodvxp/7nOf4z//5//Mn/zJn3D27Fn+9//9f2dsbIxf/dVf3elD31OEEDz46D4U4Dobm4uQTMfIlZK0Gu6GLxRRFBEGEd29WcRtXN+uszhdxmk4xDc5ia/ZdEklTHJbHDxVGiwwdWWWa2fGb/u8INoda+g7oQlJpCICdXd+ELfDtA0++FOnSKZjzE9VCMMZfO+HhMFVQCBFASlzCJlByAxS5pEiB8oj8M/iey8RRXWaC01kMwCrEysIGi52Twqrq1MToukamXySeqVJc6FNtIFbmUgpvCCkP5de1VHRdDxevTLNhcl5QJBPxrAMnUgAArRNXlakEORTcQ72Fqm3XL747Vf5s++8Sr3lrPl8tdwGfLdUqi2++ew5NClIbpOV9t2gaZKuUoqXXxvj3IXVNVx77HGv2PEahc985jMsLi7yO7/zO0xPT3PixAm+/OUvMzw8vNOHvuccPNbHoWN9nD8zzvDB7g3dZQ0f6KZeadNquCQ2EH6sV9ukcwlKPXcuulNRxOy1+U7OeBNmP64XIIRgaCCLvkFviLdixUyiIOLMd89x8JGRdZ8Xod4WETmBQKF23Hipb6TEB3/qFF/9H19lduwyhZ4IKYvr15UKiRAphEoQRYt47svMjhfISJ1QRThVh3gxQfzAyomlUgrsuEV1vonqFtypM7LadsgmYvTlVn6vai2HN8dmqTVdMgl7xV14QICBRpytLbpSCgaKGZqOxw/Oj1FrOfzc+x8il4xRc13OzM/y0vQki60WCshYNo/29nGyq5t8bPPpipdeGWVmrsr+4a1NIt0JUkmbSrXNcy9c5NCBLvRtLvTcYxtRovN3N9vfJ+xKMeOv/dqv8Wu/9mu7cai3Fbqh8YFPPMj0xBLzM1W6erN33CaetBncX+LSm5MEfoh+mzbE9rKp074DXRtKIzQqLerlJrFNRBOiSNFu+Qz0Zchl727wT64rw5XXRqmXGys6IK4bRWlSoiHvwtZm+4iUQgi5KymQB58s0KxN8eyXIqauJugeUujGHd4FIZHkqVeXqFd8LL1IvOHTyNsYR4to1urvgx03qdYbBJ4iikXIde78m66LLiWHeoorOhLqbZc3Rmept11yqdgq4esRYCkDe4tC4ToJ22Rfd55z43N88VuvMHgoxwvTEyy0mpiaTtzo1GeM16pcWFrga5djvHdgiB89cAhT29jC2mq5vP7mBJlUbEWHw9uBrmKSyakKV0cXOHRg90a577HHeuzNethhuvuy/MjHT/C1v3qJ8kKD3BrDeVZt05+jvNBgfqZCJpdcs8DKdX3ctsfwwW6y+Y11CLTrbcLg9uLjVpRS1BsuqZTFQH/mrtsVY5kYU1OzfOfiBbTeOKP1MrPtOkHUuWvXpCRQTeZ9l8BvkrEMstbGp+9tJ77ysaSJtQGnzLslCF7hxJMLZIv7ef6rLSYu+yQzkmxRQ9NvUxCIoFVP0qg6JDMOhw/30+yLcyVqQxiQ0Fb+vIUQmA0dEUAblwRvFX6KuuMRKcWRvtKK+Q6eH3B2bFkkJFeLBIXCUz6DlLZF6pm6xr6uHN8Yu0xzIeRYfxcHcgX0tyzqkVIstFp8+fIFaq7Dzx9/EGMDYuH8pVmWlpoMDmzeOXSnsSyDKIo48+bknlB4G7Pno7DHtvLIE/txWi7f/toZgiCk2J2+7aIrpWTkSA+u41OrNMlkEzdSBQqF0/JxHY+BfUWGRkobNllq1dud/9jA85VSNBoelqmzfziPuUFxsRaBUMxaLqPZNpdTLtfGXyHrZjA1jZjWEQIC8IOQJc/hSsNjojaPrWmU4hYj6QT9yRjmlorNtoYTOgzF+3Z8zoRSLr77PQRJ9h216R40efW7bd78ocPUlQAE2HGBHRdITXScGD2F04zwXAVI0jnF0BGNgf39KMBs61xyGiz6LhndRF/+vJVSyFBSClLMUyWOfcPLM4hCai0Xy9Q50lOiP78y5XBlZolyo00uuba/hYuPKXS6VHbb3puZsEnF9AlbIZEboadXf/5SCLoSCWKGznPjYxTjCX70wO07a8Iw4tXXx9F1ucp06e1CPpfgwqVZ5hfqlIp3HlW/xx47yZ5Q2AWEEDz1oWPYMZPvfP0Mo5fm6B3MY61hg3ydWNzi8IkBzr02TrXSJJ1NoFDUq20MXWPfoW4G95U2VWvQqDTRNpDz7IgEF13XOLg/T2YDBktrEaGYsB3OJZtUjQCFwqgLCm2Ng9nSmtvkbJtWtNhZwJTGdNNhstEmYxkczaU4kE2i7UKEIVARXdba57itx/HPE4WTSK1jtBNLSJ78eIKH3xfj6lmP6Ws+U9d86tWIyOk4DBqWZOSYSc+QwcBBg2//jcfs+CLgIEWMI7EUBcPibKvGUuAhgJjUido+hqWzL95LC5dq1MQKLNq+jxSCUibBoZ7iKt+E+WqDycUqyZi1ZnQrIqKlHIbpJrkqSrE1QhVxtVXBkJK4oXN1ZolcMr6up0PKtEhbHs9PjPH04DBJc2UkyIsCFt0aC26Ny1NzfO/yBYyYRrlS64zUFhoJ3SauW8Q0E1sztmCIvn2kUzZXlxYYm1jaEwp73HP2hMIuIYTg0acO0jdY4Ntfe41LZ6cRAvKlNPGkteZdWiJlc/TkIG+8fI2ZySUs2yBfTLHvUDeZ3OYNiQIvuGOfeBhFnUiCpXNopLDluoSmFvJGss5Y3AEFWV9HV4Jq4BL56xcImsIgptnUgyYp3cLWNcJIUfV8vj+zxEzT4WQpS3abRjSvhR/5aEJSsHbey0FFSygihFi5ANpxybFTNsdO2R3PgZYi8BRCghWTGObNz/HEezJMXlnAadWIJTppgZJhkU0XmPNdJtwWi55LxXXIdqdZqDoYRpzFeAOEoD+XoTeXJpeMrUrz+EHI5elFoGOQtOr8UdRUiwwJ9tGzbYvrot+mEjikNRPd0Fiqt7g0tcDD+/vWjcaV4gkul5c4Mz/Lk/2DRCpivLXAmcoYZ2vjtAIXJ/Kpj3ksNJokEgbC6+wrUp1eEAEYUieuWXTHspSsNJbcue/aenSmgQrmFuq7fuw9Nsi7yEdhTyjsMj0DOX76F5/m4ptTnHlplNHLc8zPVBGi0xlwvasgDCPctk+kFKWeLKl0DN8LKPVkSW/QGfGt3K6jTCmF64Y4bkAmbTEylCed2lpR2qzp8nKmRsXwyfgGdnQzvCsEt29tE1C08lT9GgqFQKBJQd428cKI0XqLRcfjka4s+9I749645FUpWQUGYpsbZrUVFB53umIIIYglBKzzcg8/EuPK2YhLr5XpHkyRSHfEgiEk3ZqF6fnIa2UGelIcfOgQsZSNrg8ybZW4Gs0wmMqQNtYWhPPVJrWWSzax+t87IqGJhcFhBrDYvgV1wWsRKoUhOxGwVMxiqd6i0uykP9ZClxJNCs7MzWLHA15eusxYax439MmYCfJWClsajPtVKlpAxlz9miIVEUQh9aBNpdpgVDPpsjP0xHKk9O2JlmwU2zaYmFza0kTYPfbYTvaEwj3AMHSOPzTEsZODzEyWmZ2sMD9bYXqijNPyUHQKmnoHcpR6MpR6M3T3Zjnz0ijf/cc3uHZxlq7e7LqRiPWQmlxTLARBRLPloWuS4YEM/b3pLbdlTVkOL2VqOFpEyTVXFbYppZB3yAvnzCyWZuGELjHtZtrD1CTdMYsl1+f700sEkeJgdnvHUEcqwg1djqcPo8vd+Hnc/TEsW/GRnxUkMsNcfKXJ+LV5HBVSb3u0mg6hAr0YJz+Q5MJcGTUHoJASWinB92OjpGyLg7kuCrfUICilmF6qIYVYFYnyCairNgksjjFEju0Nj3tRuCLFZOraDZvo9YQCQETI9+YuMKp1ujqKVpq4vlLw1hdc5DpFolJITE1iakYnkhN6jDbnmXUqDMVL9McLaLtkBhaPmVQqLZot723h87DHu5c9oXAPEULQO5Cnd4OV14++9yCD+0s8+/XXuXxumrnpCulsnGwhuSFXuXjKpjrfmciplML1Qlw3QAjIpG2GB7JbrkeATiThpUwNV0YUPH3NMLSKFHb89hc9Q+qUzDzj7WkszVzRxieEoGCbVFyPl2bLaEIwktm+yMKSVyFjpjmQ3B2fDyk6w7iUChBiaz9HpVqYMZsDHzrGTHyeaz+8TG22hh7TyfZ3UTrYRWEov6o+xQtCck6cyZrJeGuOZ2sXydkJ9meL9GbTNByPSrNNwu7k+xUKn4CW6kx47SHHAfpIbPMkSugUKb7VUSNmGsxW6gx354iZK6MXkYqYai9xqT5DzIZH7UHsNTpWlFI0yz66eeffixCC2HLNQit0udiYZslrsD/Zs24EZjuxbYN6w6FSbe0Jhbcje6mHPd6ulHoyfPoXnmZ6Yolzr43zxsujTFyZBzp98rGERSxuYpgrP9ogCJGGjuOFiJpDpBSmqdHTlaRUSJBO2ZuYWrmahhZwejmSsK5IUIAQG/Jx6I51UfarNIM2KX21EMhaJkuOx+m5MmnLoGDffRujG7q0Q4f3Fh8nbexOAZlmHEXKElG0gKZtbRjQTHmJb509xsWZqyilGHxihHT8ztEmU9cwk3FyDHGAbsb8ea4153ipNUZsUcfUdWrCAT0kVAoBaEKjQJpe8nSRXdeL4W6Ja0bHfOuWsHvMNCg3WlQabWL5m0IhUCEX61NMtcv4YcSRVH5NkQCd72AURpsqAkYI4rqNFYUsenWaVYfDqX5K1s5MFr2OJgVRpAjDnTX92mOPO7EnFO5DhBD0DRboGyzwxPuPcvncNLOTS0yOLVJZalIrNwn86EYXpEIhpUToGoYuO8IgbZPN2MRu03mxUSIUb6QaVA2fLtdct6At8AN0QyOWvPMdqCkNBuJ9XKxfxYs8TLn6wp+zDGbbLq/MlfnAQGlVj/1mUEox6y5wKDnCA+kjW97PZpEyhWE+huv8PUrd2b3zVoIQTl/x+daZAjUnw2ApRWyLRZ4xLI4YAxwwelkM64zVFplslNF0g4KVJiFjJLBJqhgpYjveEdBlJrCFjhMFxLTOa7r+1jSdm/M3AhVyvjbJtFPGFibKUPRl148wqeszJLZw+prUyBkJakGbc7UJVKqfLjuz+R1tECH2hMLbnXdL5cieULjPSaRsTj4+Ao+PdMKqdYelhTrtlkcYdMbeaprEtAxsS+OL/6+/QkWKQvf23TGPxxzGYg5Z//YtZW7TJZaObUgoAOSNLN1WkWlnFikkulhtIFSwTSabDufLdR4obO2irZRiqj1L3szx3uLj6HKnvRMUjZbLwlKDat3B9wdxWkV0fYlCNk8+AzH79pcgx4MvvQinr7gk7BSH+odXTJTcKjoa3VqWYjpN9WpI2/NxqyYHh4ok7d0Lf6c0k24zwahTw5b6DQGlaZJqszMDIlQRF2pTTLfLpHSbajukmLQoJtc/zxuRhK2GfYUgrceoB23O1yeRQlK0dib6pJRCSrHFYVV77LF97AmFdxBCCJLp2G3HWp947xGe++sfkO/JbksltS8iziUbSAVWtP4FTSmF7weMDJfuWMx4AwFDiX4CFTLnLpDQ4xhvEQuGlMQ1jXNLdYbTCZKbmIh5/bym2rMkjQQf6/4RitbOOPUppZhfavDmxWnOX5mlXG3RanuEUQQKouggYTCBYTjEYzaFrOLYATi8D9LJlZ9Ty4W/+QG8eq1FX04jnTq+LSJh5TE8pBAUkgkqjTavX5vhgaFu0vHdGX8shOBgPM9S4LAYOBR0u9PJoWk0HQ8/DJl0Fpl2lkjqNg03wtQkR7szt3XyFKJT1Bt4dzHsSwhSeoxa0OZifZK4PkJc234RFUZ7QmGPtwd7QuFdxtEnD/PSM6/RqrVJZLbWZnkrM5ZLVQ/Ie7dfqJymix03KfRtzptACslIYhApBLPOAqY0sDVrReQiberMtFwm6m2O5jd+d+eGHjPuPAUzx8e6f4SBeN+mzm2jjE0t8f1XrnHh6iyNpksiZhKPmWTTmRuzFBQFAl+n3bqE47pMzia5Mq7xXAqO7Vc89iAUsgLHU/zdD11evRYwUNBIJh5Eyu0XN34QEUYKQ5fkkjHKTYc3xmc5Odx7o7hxp8kYNg+neni1PsO83yKhGehS4gUhS06DseYcKpBU3QDb0Hh4IE/3bUQydARIIm+yONq8u5NbFgtlr8GVxizHM4PbPqXEcXxsyyC7Db/TPXaAvWLGPd6p9B/s4eCpEV7/9ln2nRi6qwJGheJarN3xOrjNRTKKFE7TYfj4INYdOh7WQpMa+xKDxDSbqfYsNb9BUo/fsFcWQmBpkivVBgeziTvWKiilWPIqtMI2h5IjPF18fEciCa7r872Xr/L8S1dotlwKuQTdhdSakRyBQDcOkUgmsO2rpKMKUaSoNeI8/4rGhash7320xZzj8sq1PAPFLKn4IYTcGVOojteFgmV77WzCptJsc25ijodG+nbN+rhkxnlPpp9r7QpTbp2l0MEPQ16cHcfFI2/HGCzEGSmmKGywMyBVMJm/0rjrcxNCkDJizDkV8maKvtj2fhattkdXMUUivjvCbI891mNPKLzLEELwgZ97L1MXZ5gfW6B739ZtiitGwLzlkQxun9NvlBtkimkGDm/dwEgKSW+sm7SRYrw1RcWvgVLYmoUhDdKmzpLrM9ty6U+ufVfpRwFlr0o7bJMx03y48D5OZI7uSE3CQrnB3z7zGpdG58mmYowMFu48ZhzQtD6k1oOKFgnDSXKZJTJpn/lFyZ9/PU01SrL/4ADpZDe7Ukq1bFcohSATs1moNxlfqDDSvXvDlNK6xclUN4fiecYaVa7VFrEyLsO5bnrTCVKbLMiNZwxYNv662/SbIXV0oTHanCVvJrG17UsBOY5Pf39+W1KEe+wAexGFPd7JFPvyvO+nn+BLf/QMjUqT5G2qxG9HVQ/wpSLrr38hc5oOUkqGHxjE2Abb5YQe53BqP1W/zoK7RMWv0fYdBIJ2oJhu1sgtp9EVCi/ycUIHXwVIoVE0czxZfJQDiX1kzZ1pb5tbrPMXXznN+HSZod4c5ibrJgQSIUtIWUIZClRIb0/EeHWK8mKdeTsglwoxzZ37+UopEIgb7pjQKSS0DJ1rc2XyyTiZxO7UK1wnphl06XEmw1kOlVLsy2e3tp+MgW5KfCfCjN29SEzoNmWvwbxbZTBevOv9QUfEKKXo2pvzsMfbgD2h8C7l5PuPM3N1jh98+TRSSuJ3yO2uRU33O9Hpde5s3ZaL2/bY98AQ+e7sXZ7xTaSQ5MwMOSNDK2xTDxq0Aoe2v8Si69EK28s3wgJTGuxLDNFjlyhYeQbjfZg76N1frjb5y6++zMR0hZH+wpYL0RTgtj08x0dFiqlyjXrLoauYYmGhjjgPR471btlB805Yho6uSYIwwrzlGHHToNx0uDyzyCO3mbuwU8y1anjSpyeV3fI+4hmDVNGiOutsi1AQQmBInRmnQl8svy3OjbW6QzJhMzz49huDvce7jz2h8C5F0zU+8s/fTxCEnH7mNQq9OdKFzd29LJk+ulp7oWjXHTzXY+hoP4NH+3YmSi4grseIL3vwx2UWTQo+M/g0Ugg0IYlp9i5ZMXfmczzz3DlGJ5fYN7B5kaCAVq3N4nSFhekybtsjDELCSLHUaIMUiHQMMxtjbqZGMmkxPLIzEy5jpoFp6PhBuEIoCCFI2SZLjRaVpkNunTTPTqBQzNSrJHIatrF1sSekoPtgkvJUmyhUSO3uv5xxzaTutyl7zW1pl1yqtHjkwUGKm/xN7rF7CNX5u5vt7xf2hMK7GNMy+MS//BCxuMUPv/4q1YU6fQe6NzSKOkTR0ELMaOVFNgwjGksNdFNn5MFhBg737tpdZ0w3aPgeSulkrZ0ZGHU7Xj07wevnpujrymy62M/3AsYvzTB7bQHP9TFMHcMysOMWTccjclwMIXAqbdrlFsQMrngBmWyc7BYmid4JIQTphM3MYm3Vvxm6Rui4zFTquyoUWoFHzW1zOH/3JkeFwTixlIFT94ln775YUJMaoFh0a3ctFFy3M/b7xPH+uz6vPfbYDvYadN/lGKbBR/75+/mZX/9xuoYKjL45wfzEImFw+z7zSCiUuJl2iMKIZqVFbbFOpivNiaePMnhkd0PTmpBEShHebjrlDlGptfjWCxewTI14bHMLT7PW5o0XLjF2fhqpa2RLaRKZOKZtIDVJ0/ORmsSwDcyUhZm0wA2oTVV47VsX8F1/R15TOmYRrfNe2obBXKVB29uZY69FzW0TiYjiFqen3opha3QdSOA2w5tujXe7T6lT9Vt3XaM2t1Cnvy/LyPD21DvsscfdshdR2AMhBIdPHaD/YA8vfv1VXv/Om4ydm0Q3dJK5BPFUDNM2Viz6SikCPyDyQoJ6AAoSmThDx/rp3d+NZuysu+H6qHUXt53kzUszLJSbjAwUNrVdq+5w/vRV6uUmmUIS+ZbWTj8McTwf45YIhZACK2kh3YCluRrnv3WB4x89tnEjqw1SSCcwDR3HC7DfUjgZM3XKjTaVprNqQNNOMVOpYSckxcL2RDF6j6RZuNaiseiRKt29YZIuNNzIxw39LXc/1BsOQgje99ShHas/2WObeBd1PexFFPa4QSKT4AM/915+6f/4Z/zUv/0kIyeHUEqxMLnItTfGV/yNvTGB1/JACIr9BY49dZiHP3yCgSN990wkRMvtbncz82EreH7AK2+ME7ONTflShGHElTfGOyKhmFolEgD8ICSMWHO/hqWjWTqTV+dZODt9V69hLRK2SSmTWDNqcF00Nh1324+7FkopKq0WxT4T3diez9dO6gw/kkVFCq99F06NyxhSw48CWuHW3pMwjJidq/HoQ8McPbS1AWF7vPP5whe+wMjICLZtc+rUKZ599tkNbffd734XXdd5+OGHN33MvYjCHquIp2I89IEHeOgDD9BuOixNl1maruC2PaIwQtNlxzgpuERTDxlM74zpz2ZxowBL00nqW885+2Gduj9KqNqAQJcJ0sYImly/FfDa+CLT8zX6ujbXbjkzusDiTJVULrFuisZfntex3r+bhoYXRoz9cJT0QA57G8Lyt9KTSzG9VCMIo1V1F5omqbV2RyiUG22UEdLbu73FfaV9CcqTbabO1dF77LsqbJRCogAn9O743LeilGJqpkJ/f473v/fwu8Y7wY9C3DDAj8KOyBcSS9Mxdnjeyv3KF7/4RX7913+dL3zhCzz99NP80R/9EZ/85Cd58803GRoaWne7arXKL/7iL/KRj3yE2dnZTR93TyjscVtiCZv+g730H1xtlnT2ssu3pi+tu61SEV7k4EZt3NAhUC6R6kzC04SOKS1MGcPSYujCvOuLY8P3OJwpYuubD/u2/CkWnVdYcF7BC8vLUUGFQBLTuyjYpyjYD2Hrq9vVZhfqhGF0R78EBcy26ky36oRBRGVigZih3bZ41A2C274vGiBMnUa1zdLFOfoe37eRl7thcqk4pUySmXKdQmqlCDE0jYbjrikitpMgjJivNij1WyST23vJElIw/EiOxpJHbdYh02NvbgT1Gmwl9TU3X8cwdD76gWOkUrvrT7FbKKWYdxpMt6vMtRuMt8pMNst4YUi0/IuTCCxNpz+RZTCRo8tO0RvPULKT9/js1+AepB5+//d/n1/+5V/mV37lVwD4gz/4A772ta/xh3/4h/ze7/3eutv963/9r/nsZz+Lpmn89V//9aaPuycU9tgyPfE0a9WBuWGbmr9E1Z/DjzxCFSz/i7g5+lrBdds/XehYWpyc2UVKz6NtsZ3RDQOGk5uPbiw6rzBa+zvcqIIpsySNfYhle+hI+TjBAmP1v2PReYmR9M+QMkdWbD85W8HQ77xQTjVrnFmcIYgivLZPTW/Tl4uTvM0UYT+IuN261RERCmydxXMzdD80gLaNRkxSCA70Fqg1HRptj+QthZq6JnH9AC8I0LWdsxkeX6gw3J2jvT/YkfHWdlLnyI+UOPvNOaqzLplua8tiQcCNRW+jzM13IjY//qMnOXzwnZdy8KKQi9U5Ti+Oc7Y6TcPvRKEMqZHQTUxNvzEnI0LhRgFnylO8vDgOCFKGxbFsD48WBjmU7nrHRRtqtZWdRZZlYVmra2Y8z+Oll17i85///IrHP/7xj/P888+vu///8l/+C5cvX+a//bf/xr//9/9+S+e4JxT22DI98SSm1HACH1s3cMIWi+4kdb+Mrzx0YWJIC1vEWc9IQaEIlU8rrNNsVTGlTdbsomD2bkowBFFnQe2Jby78v+Sc4Wr1r1CEpI2Dq+7epTCIG70o1U3Dv8rl6hc5lP3nJIyBznGDkOm56oY6Ha7VykRKkbfjVOo1GiGU7YCCp9DW8aPozFy4s/VzaBm4dYf2UpNkz923D95KMmYx0pPn7PgcfhhiaNqN4wJrisXtYqnewtAkP3rqCF9uLhGqu68lWItk3uToB0qc/8481RmHVJeFtgHx91YUbHg4lFKK6ZkqQgo++bEHefjBwU0f7+2MH4W8uDDK83NXmGhWiFAUrSTddvq2Ez5vJVKKqtfmhwujnF4cZzCe5anu/TxWGN71WqS3Irg7e5jr2w4Orvzcf/M3f5Pf+q3fWvX8hYUFwjCku7t7xePd3d3MzMyseYyLFy/y+c9/nmeffRZd3/pyvycU9tgy+1J5BpJZppoVUqbLvDuJFzlYMk5S21iuXCDQhYmumcuWyw6zziiNoEyXNURSz27o17joNCnaSQ5nN25A5Id1xup/T4RP0lg/vwcghCRp7KfuX2a0/iWO5f4VQmi4XoDrBVjm7e9yFJ0L5/W5Ep7jowmBEooIdduhWndCCoESEPkRTqW97UIBoK+YptJ0mFyskonbuzIUqtZyKDfafPTRQxwd7OIfLuo0/J1rx0wVLY59qIuLzy9QmXKw0zpWUt90Smwji2Db8ZiaqZLPJvj4hx94x3kmTLeq/P3EG7y+NNlJJcSzWNrmlxspBDkrTs6K44Q+U+0q//PKi5ytzPBjAw/QHdsZG/YNsU2ph/HxcdLpm69jrWjCrbz1+7jezJIwDPnsZz/Lb//2b3P48OG7ONE9obDHXWBIjYcKBX4w/xqpoIGpmZ2FfYsIBJaMYUqLutug0j5HZjm6IIXE1DQsXVvzh1LxHD45eJSUsfE2t7J7FiecI2Xs39j5CUFc76fhjVLzrpKxDhJGakPDhQSQt+OM1spYmoYXhPg6xCMNXa2/6N5ILdwBBSAUobMzC6kUkqODJcIoYqZcJx23bpzVelF6pRSOH9D0PFquTxh1gvK6lMRNg7hlEDOMNd+7arPNfLXJ+0/u56OPHEIIQY+d43WnuiOv7zqJnMkDH+1m8kyNiTeruLMuyaK5oehCpCIEAvs2aZgoUswt1Gg7Pg8eH+DD7z9K6R00zyGIIr43f4V/mDrHkttiMJ4jtoWaobWwNYOhRJ5W4HF6YZyxxhIf6z/GE6V922Kbfa9Ip9MrhMJ6FItFNE1bFT2Ym5tbFWUAqNfrvPjii7z88sv8m3/zbwCIogilFLqu8/Wvf50Pf/jDGzrHPaGwx5ap+2Va6hWkbOCFcVLG1vPUbqCotyPafkTTVTi+hR+GhGoOS9aI6Ul0KbF1nVzMJmVbZGM2acuk6jkkdIOHi30bPp5SIQvtF5HCulGPsBF0GSPCZ9F5hYx1EE0KhBDLKYLbczhbxAsD5ttNXBlg+4IeYdw2lmBoko34KYlV/7H96JrGA8PdSCmYXqyBENiGhvGWYswgjFhoNJmu1Cm32vhBuErqCNERmpm4TW82RSmVwNA0IqWYWarjBgEffvggHz91BG05xNwXy/Ny+crOvcBlDEtj36kc2T6bqy+Vqc52vA1iGQPDlut3qEQhhtSIa2vllwMWl5o02x6FXIKPfegBHj45tGvjuncDLwr5u7HXeHb2MnHN4FCqtCPdG3Hd5FC6xHS7xp9fPc1cu86PD554x9UuvBXTNDl16hTPPPMMn/70p288/swzz/CpT31q1fPT6TSvv/76ise+8IUv8I1vfIO/+Iu/YGRkZNU267EnFPbYEs2gxg8Wv0ormuTRYoEfzLXxI4WxiSIwpRR1R1FuhpRbEd5yzaMmFbomiBkaCkGg2igh0UWalu9TdVwUYGqSfCxGqIX82MgRBhPZDR/bDau0gllMubHiR6UUTuTjRB6t0KDVfJ24+QRxmcbQNTz/9rlzL2rTDhfpTlawjQZytEW4FOCkG/hCR5cWhoxhCItbV3vT0FDt24uQSKmOB4MCfZMjlzeLrmkcH+omYZucHZtFQsfZUOu8R4vNFpdmF6m0HISAmGEQj632l4iUwg9CFhst5utN0rbFQC6N4/iUsin+yZPHOHVo4IZIAChYKQSCUEW7cgeZ7Y3x4MctliZazF5qUJlxaC5FGDENw5IYlkTeEmnwo4CYZmJpBlEU0W77tNoejaaHkNDTleHDHzjK0cO9ZDPb28Z6r/GikP917WW+N3eFbjtN2tzZzg0hBH3xDFWvzTemz+NHIT81/NCOHnMV96Dr4XOf+xy/8Au/wGOPPcZTTz3FH//xHzM2Nsav/uqvAvAbv/EbTE5O8qd/+qdIKTlx4sSK7bu6urBte9Xjd2JPKOyxaUIV8nL5G8w6o5TsAfJFyXQzZLLp0xvfWE636UZMlkNq7YhIgaVDyr4ear91ew1NCXzVxJYmabPTJqWUwgtDrlYrWFLjylyVV7MzPNTVs6HjR3goQqRY/ycQKUXVbzLv1agGTdzQJ1AhgXJBwZT3Z1hanKotqUybxNN9xLTkirMPlEfZHacezBFELlLoxA2dfNpgYS5cXvh8/NDFCesYwiKmZ9BF50J74279NjWNCjDDCGlq2+6jsBaalOzvKdBou8Qtk7H5CrqUNAKPmWqDUEVkYtbNRX6NC6IUAsvQsZadH2erDWardR4a7uOffeRRhkrZVduUrAwJ3aIROGSM3VlodVPStT9JaSRBfcFjYbRJZbKN0wxw6sEK++dm4KJbBtcaCwDEYibJhMXhg90cPdzL/pHSpkeO3w8EUcTfjb3G9+au0BvLkNxE+u9uyZgxpBA8O3sJQ2p8IDu8a8e+F3zmM59hcXGR3/md32F6epoTJ07w5S9/meHhzuuenp5mbGxs248r1EZipveIWq1GJpOhWq1uKIezx+5wqf4KP1z6OjmzC3PZiGim6fGV0QpCQM5a/2IYRoq5WshMNcQPIW6CvgGTm2C5xTJrlNCXx0Q7QYAT+jyQ7VmuFYD3Dgzxyf2Hydi3v6NxggXOLP5/MLQMhlw5VEkpxYJXY8JZpOa3iIgwhI4uNQyhEUZtBIJS7Ek85fLmK03eeNGlq08noafpsvpJ6CmaQZkF9wpOWMeUMXRh3RAxtVmX8dN17Ix+w+RHEREqD4HE1lLEtAx+EDG5WEWTcs1plJ1IhyLr+GTjFsd+7tS2tkeuR6QUV2YW+dmnTxJGEf/jO69wYWahkx4KQDkBkRsQup3PTWoCI2ZixE2MpIXSBX4QLbdWSnKpOJm4jR9FnDrQz88+dZK4tTI6opTiz8a+y+uVa4wkV+dkdwulFF4rpF3zaVV9fKfzOipegw/0Psi+dIl8LkGxkCSbiW951Pj9wnOzl/mLa6cpWakdjySsR9Vrs+A2+YniYT568KEdXTOur0v/7798hlhi6wPZ2s0m/+6nP3ZfrG/vPHm7x45S9Rd4s/bCctHhzYtCT8Lksa4Ez880qHkh6TW6AFxfcW0xoNqKMFZEEO6MLnS8yKUZVEkbBbwopBV4HEgXGExlO+fmOnxj9AqXy4v83LEHOZxff6iOIVOYWhovqq0QCm7kM9qaY9opA4qYZq/KfQZ4WFoRXTPRMekrmVw1aohIUfPLNIM6KT2JH5VRhMS1DOItofJEwcRK6XjNEDvd+RkKJLqwiVRAK6gSqYi4nsMydNpesOaCE7Lsw97yKTw6vGmR4EUhjcCjGXq4UXjDLEgTgrhmkNRN4pqxKtRfbbRJxywO9hX47vlr6KbkYDrN7OgC9WqbKFoeGnY95aBA1RyUAmlI7IxNuifDSE+ermyKTKKTcml7PqevTmFoGj//9MkVqQchBCez+zhTvYYXBZi7ND78rQghsBI6VkIn29uZOzHZWmTEHuTnDjx+o7Pl3cB0q8o/TJ0jrpn3TCRAJ7LQ8F3+cerCrh1zb8z0Hnusw4XaaRpBhW5rdYjvRCGOFylenGsSKUX2lshC24+4Oh9QdyKSlkDbgqGNIUzcyKHuN/AjjZFUnkOZm+2QGcsmaZhcq1b4P19/mf/t+ElOlNa+89SkRcF+lLH6l1BaJ13RDBzONSaoBE0Smo0lV+f7lQoBRdy46VTZ1WeSyem0aiGZQhonrDPZvoIpNYpm1yqRAKDpgvywzdSZBmEQraiql0JHIHDDOlJoJGImDdfFDyOUUNfdqhBC4EUCsx2QzNrkD3Vt6H30opA5t8mEU6PqO3hRSIhCKJYngt76nmtYUqPLStBnp8gbMYQQLDbaPHl0iJlKg++8doXWdI3GXIO4ppEfKKBExyzKD0OUutnCJQAVRoROgFV2SZfkDZEAEDMN+nNpXroywYGeAu85tLLH/GCqh147z4Jboy+22iXzXhCpCCf0eDi//10lEvwo5MsTb7DoNjmU2nhb8k7RG8/wRu3avT6NdyR7QmGPDdMIKky2L5LSc2tGAoQQPFpKoAvBi/NNZlo+JVsnCOHqfEDDUaRssWGzldUI2gH4osUDuX0czpRW7UuTkv3ZHKO1Cv/9zCv84oOPcqy49kUsb59gpvUd3HCRkCRvNsZpBG2yegK5TrFcEDXQZRJLuzklUjcEw4csXnmhiVIRQdRGE+BHiopfJWdm0NborMj2WTTmPWrTLvG8scINUAgNpXzq/gJgEonOa9du2Y2KwA8EhtuE9+SomPNkwgK2trbBlReFXG2VmWjXaYQeAohpOmndQhNizbZTT0V4UcjlZpnRdpW8EaNXT6JLONRb5G+ef52JK7OIqkcqE0e/ZSBYx5hp7eJKlYJWvc3F1yfw3YCBA103zjlhm1gtnWdeu8j+7jzF9M2IjyF1ThUO8jcT38cNfawtTmncTqbbZbrsLMfSA/f6VHaVlxbGeK08yWA8+7aYTSGFoC+Wvden8Y7knZ0822NbmWxdohXWiWvr930LIThZjPPxoQylmMFkw+P8rEe9HZG0N2ZGsxZ+qKj7ITFNozcZMpSMrbsvIQTD6SwN3+d/vPkqU/Xams+ztRI98ffRDsucrV+hHrRJ31YkNAFIGSNIsXKB6h+2SKY0FpdaeFEbQ1iY0qAdOlT9+prtk1IT9BxNEM8btMoBUdh5TqRC3LCFF3kEykMJj7itoZREoqGJzl/oa+huROF4CnPEYtYZ50rjDFPtK/jRzWFNSilm3SYvlCd4s76ArwJyhk3BjBHXDHS5dsufEAJLaqR0k5IVJ6EZLHgtvr80QcX2GV1Y4uUz1xA1l0w+uUIk3AkhIJGOYZoaoxdmmJssr/j33lya+WqDl69Ordr20dx+jqb6mWgvbqgtdSdpBg6BCvlg94Okd6nA8u2AH4V8b64TNYvdxRC27Sa+m+eituHvPmFPKOyxISIVMdp6E0vG1gyl34oQgsGkxY8NZyloJrV2hNIi3FBtyu5XKXCCiJoX4kWKUszgcDZO2oxoBJU1t/Ejj0ZQpezPk7IdLlcn+JMz32S0cZm6X7kxlOr6efYlPoTDCEtelZgIgGDlDpUiUl5nUJQKyViHieur/fiTaY2jD8VotR0CTyKERAqJIQ1aYZtW2F7zfM24Rv/JFMmiQbvi02o4OGGTQPlIIdGEgSIiZoOpC/xQoUKF2wwhUnQftCg+XiKmJ0jqaXShs+BOc615lpq/SKhCzjYWeLEySdV3KJgxUssRhM1iSo240olrBg3d4z996Tka5RaZbHJT47VvxY535iqMXpih3bwpbqQQpOM2L12ZoPUWIwlD6ny092HSeox5d20RuBtEKmK6Xeah7Agn3+HV9m/lYm2OsWaFLvudYxa1x/rspR722BCtsEbDr2JrG5/iVm6HtF04lLMIUCw6AU2/Y76jCYEuBdotOXEFhKrTGREs3ylamqQnbpCzNRK6hhAQBRqt8OYC4UUuNX+Jir9Ay2/R8q5PqRQoJM9PzePrF3mgO0ZcSzKYOMxQ/CBZo8iCN8eCDyX7MKgyXlRDESLojAxGRUhhYGlFksYAtr5+Lrb3QED+SpOFsRhWt0JK0IQkVIJ60MDSLPQ1UhBWQmPgkSRTV5ZYGnMJywJN19DMTtQhIiLEx0LHawb4QkDCpHTAouuhxI2UhUBgSAtdGrTDFqPNC1SjHAsuJHSD+F2G6cNI0XJ9DvQWiDtwbX4cC0krDEjexVCoRCpGZbHO5NU5Dp64WZNQTCUYXShzdW6RBwZXirO+WJ4f6XqAL0+9SDywSOq7W0inlGK8tUi3neXDPSfXjUK9Uzm9ME5EhP02SP3ssfPsCYU9NkTdL+NFDiljYwVkQaT4wXgLN4DeVMdboStuUPNCWkFEy49ohxFeqFZE4DQhiOmSpKFh65KMqWFob61D0HHDdmcIlTdL1V/EDV1aTojjKMIQbg2W+cCZCYMDOQtlNnil/Bznaqfps4cJCHBDh277IKDwwjJuWO60KQqBJiwsLY8pM3CHu/BIOAw9VMNr2lTnJdlShJBgCB1PeTihQ1Jf3U6lULSpYw079HYbOPOC1nyE31L4XieyorQAK2aiYja1SCM/aNFzzF7zTl4gsWWCi60mc94SRTNNfIOzN9ZDqY6tcj4VY193jrPfvopUAmkJ5lrNTiphi86cQkAsbrE4U2XgQDf28oAtXZMopZirNnlgWT+oqA7hNCqa44n4JLniGabbM6Q0GyktHJWiqQq0VIZWlMUhxXbbVSqlmGwvktRtfnLgPeTMt+EI5B1k3mlwtjpDwdx6a+Ae9xd7QmGPDVEPllBEaxblrcVE1WeqHlCIy061vuoIgoQGCSlBF3g+eMv+B0IKDF0SM3UMTd722q6hUw+rXG6cIVABhrBoNTWaToiu6cTMmyJBKRBBwHTN4bVxjY8f60IpRTtscrH+OgveDAWrG0WEFBqWXsDSC+sf/Db4UZt4OuT4Uy5vPm9RnuuIBakJhJI0gzYJLb6qHqAdNmmFdXRhIOMScxjSw5LQh9BRhJFC0wUJK8fCfEBMgErd/j2acQOWfElMRnhRHS+yMOXWjHCUgkqzTdK2ODrQhVSCpckKUpOdqaFBwHyriZHUMLWtVf1bMZPqUoPKfJ2eoZvvvyYlEwsVVHCNyHsZ/JdRURVBZ+T0obiFjWTBXcQSOhk5i6DTIudjU44GmI0OUIn6ibbhcteJJMwTXxYJ+5PvvLHQd2KmVaXuu3Sl3t1pB8Fdtkdu25nsPHtCYY8N4a6TY38rfhiyUG/yvWstlhoBntvpzY8iReSFhF6ICiJQnXt+KSRSdNolNU1S1yS2bRBPWtj2yk4A6Fyom0GDRlAnqWukjCy1lkvT8bAMfVWBoxBgGzp2EPL6dJPHBh3ySZu4nqQdNgldnyV3lkiF9Mf23zBz2gqKTv1DKh/xwNMu535gUpnViacjzLiGr3zcyMO+ZRZAEPm0ghoSuSp8rRmgGYIwkjSrEq8ZMHzA4oFH45w+22Z82qeU0zGMla+5EURMuQGGgJhm4kcezaCKbhQ3HSKPlKLadIhZBseHu0nFbdoLLVwvRMY6x7V1nZbvs9hu0ZNMbekCeN2Qs9VY+T2ztDaV6vOEjWsI1UaJHGiDsFxMKoHB1ACemGGivYguJAndRqIwaFPSLlOSl2moIpPhCeaiA6gtlma1Q4+p1hJFK8VPDjzBwVTvnTd6BzLnNFCou+he2uN+Y08o7LEhQhWwngZWStFwPWZrDaYqNRYaARcXdQwJSgmUGxK2A6Kgs5BKTaD+/+39eXBk133g+X7PXXPfsO+FWlkLq0gWF5GUKFILRVmSpbZHtnqi2/J7Vk/bIznCrZh4r92OaMvdz9Yftrs9z91Wy71IfhNjhUbTtmXZaluURJOWKVEUdxZrYa1AYQcSuefdz/sjUWAtAAqowlZV5xOREgvIvPdkAsj7y3N+5/fTIAKihfRfDYElQQuhVnWo1xws2ySTi5NI2CBa56kEJZphHU1o2HoMJFSbLpqmrfjGlYnpzNQD3hyv8tje1nq2FzkYmkVcT1LyZolkxEBi900EC2JxGSWVjzjyuMOFtyzGTpk0awZmOsA3QmKXVWWuBxVCGS75aV9KcBqCesXATkiOPpxk511xDEPw6P1JfvRKgwsXPZIJjXSytXMhkpJRx8eTkszCko0hTLzIpRnWSBqrrwDn+SFVxyUTtzkw1E02sfC6lR2iIES7bH06ZhjUPI+K65K9Tpvc5ZiGTrXUWPhXgAzOQzBCFDogCkgtueTuDE1o7E73kDbinK9PMe/VSBtxpJbEi5Jo+CRFiX3G35GPLnI+OIrD6l8HKSVTTolm6HEoN8QHug/TGcvd0HO8HYzW5zHX0EhNufWpQEFZFU3oLLWfp+H5nJmeY7pSwwtDbMMgoFWqOKlH+DUP3w1a6/2WvmSoIWl9cnWCECFCLEPH1g0812d2KiCV8cjkEjRljWZQxxAmgfQRgOuHeEHrMSuPH3RNcGq2yWN7W2/+jaCKLgx0YZAw0lT8ImPNswwkdi8837UxxJUXSNOGXfd4FLpDRk+YzEzqTFVCwnSIHRNolocbNTEu22oZhuC7As/R8F2BHZf07Kqy+6Bgd+87eQbxmMa770/Sntc59rbL1GxAe96gHIWUg5CU/k5dBCEEGhpOWCeup647qyAlVJsOUSTpa8uyq6eNuPXOGCM/QkMgL7toa6JVH6PkNElb1g192hSaIAgikDWkfwyiWYIoiWUWENp1dtog6I7nyVpJztUnmXbKyMAlYVhYmkFVdmDi0K2dJG1OcyZ8F8Vo5Z0KQRRS9GpU/DoFO80He+7hvvyuO6qo0tWCKOJivbS52xC3qy1oCrVVVKCgrErrwvnOm7+UkolyldPTc9Qdj2TMIhWzEQLOVVvV95y6QxRE6ObyrXlZOKouRGumQUpcPyQII2KWiY6gUmriBE1ExsPQzNb2TNl6ZCTlYtW/6zF1KLsRfhCh6+BJdzHnQhM6cSNF2Z8j6WVot9c+rWxqcTQ0IhkuBhpCQKEnJN8dMjXtUh+HaDpFsxlRLrq4oYEhLORC1ychwLIliXRI96GArgEfPV0ka+y49nym4O674nR3mrz8ZpOJKZ9xAkKjVfnxcrow8CMPL2oS05dOQgvDiIbr4wUhqbjFrp42unLpa15boQnMQNK8qlGVpes4QUDd90lba7+QSAkCD+m/BlEJKfJ4oUZvbvXHiOsW+zMDdNo5Jp15il6NWuBgayamZuBpPWTFLHcZz/J28Cgz0a7Lzi/xZUgjcKn4DQIZ0mal+UD3PRzODdMR2971+DeDFwUL5bPv3GDpTqQCBWVVknrrTfJS18aTk7NMlCromkYhlVjcEBBJmK+GyKaPjKJlZxGWImh9+hW6IIwi6q6HbejYcR1HVNEciRm3kCJaqDFgEGmtx6wmWNAFBFKj4kXk4ix0ZBSXfd/AECbTzhhJI0N8mQvqcmw9ianF8aWDLa58rBCQaQ/p6nLZn0pSqQYcmzhPsy7QZatFtW5I4qmIZDrCTsjWVlAZ4kuBpWeXPW9HweB9j6R4/azDxZMVNEdS8yMMXaDrraZbQhMIBE74TqAQSUmwUGbZC1pjSMVtdva00ZVLEbOWXoIxUya2EMhIInWJ4J2ZCwRUXfeGAoUwcEnEqxA1kaIACKSEruzaZicEgnY7Q7udoRY0mXHLTDsVvMinHoSUSJDTS/TwXSbcMheD/sX6GobQSRg2O1NdHMkPszfdR8LYvG6I210QRUQyQlOBwh1FBQrKqmTMAoYwqHsNTkzMM1Otk47Z10z51xsh9WqAHoZoawgSLicAQ9OIaM0uRJaLbkaEnkZTetgJDU1rVSfUDLAMHT+MsK+3/CAjhGFRdkLy8Uu/+lfO/9lanFpQYcYZYzCx57pbIqWUVPwilYUCUEIkCcMaaNeWUZYSNASaJrBSLrmeBl1aHE14yx4/kHVMkSKmr7wt1TQEehLyBYO8qVGuRtTqEX4g8fwIKSFC0MQjdBuLIzMNHcswaMsk6cymaMskrmjEtBQ7FydhGOihJNCvLNJsaTrNwMcLwzXugIgIgwrJtIMUrRLhVQfiFmuaUbhayoiTMuLsSHbhhB6NwKMRujhhOzE5yRPWGc7LQ6D30GZnFwOMpAoOltT6c1BJjIBaelCUq6XNAkiLN6fGmK9KconYNRcUKaE43cQLDTKmdtNvJxoCYUCo+xC29tX7fogIQlJ2nEtT9em4zWylTiSXT2j0ghDT0NBMg5obtTo1agZedNVFWghsPUY1KOFEzYW+CcuQkknnItPu2EIpYdHaQgpoYY3YVaWuI6LFpEUvahJetkSxlEj6SCLSZv+qciamawGmJkgldFIJHYnE98H1IlxPEkQafuTRHU8T1xPELIOEbRG3zTXlFOhxg1xfhpnRIs2ChnnZT1rXNLwwXHOg4Lvz6LpL+rKljpkqHOy9uUDhEoEgrtvEdZs2Wj8XKXsR4Sl2mRfRkk8ihCoedD36wi6lS11G72QLG3Vu6vG3ijurnJhy4yKD0QlB2Z0nl4gv+anTrbg0Kw5CE+v2iyWMEM2QhEFr2lNo4HsBWvROjJuJ26RiFq4ftGo2XD5sKXH8AImkkGp9Wo4WlikSeppQ+tec0xQWQeRT8Ysrjs2JHOa8KUxhkTIypIw0thYjwMCXAYG8MgiRSBJGqy2xH3krvlFI2ap/ENc7SRrXz5cIIslsPSR2WW6CQGCZgnRSpz1v0NVmkc9HdLfZDHTk6MimSMbWnngohCB/VwcpHwglwRIfjfwoXP0BpUOjViaTNcjkWxfrhtv69HrfjmubVa0XIQRSHwT/daT3/Iac43Zj60Yr0TgKrn9n5bahAgVlVX7w9gVGxxMkLQtNu/YiICU05puLxZPWjRkgaG2BCyOJ1CJkqOE3Lu+0KOjIpMglY4DE8XyaC7dLOyI6MknScbs1W7hwXYvpiYV/X3WhEwJDMyn5KzcdcqMmQeRfsbXR0mwEOnG9DT9qEMhW/4JIRgufamOL/17uyFJGuFEZW8+Rt3Zdt7cGQNWJcPwI21j+tb+USyDXYc4zPZSlszdDvOTjyuiKYwoBTrD6C4nbLCKI6BlKLORlwMV5ONwPB3pveqgrEiKOFGmk8z1kNH/9B9zhdKExkMxTD5ZfLrtj3EFNodTSwx3AcX3Gp8rMzteYnq0yPl3G8XyiUGIYOtl0jP6ePO35JB2FNF3tV2a6j8yVeOb4GVKiB1NOEml19OjK5Lqg6eNVXQzLRKznhw09gkgsJDpCSIgexGg6PtlshLYws6FpgrZ0kmwiTsP1CCMJopWJn7DNd7YKApcmQ5ILTZQC6WOKK5PvDGHiRx6+dLHE0n0EDGGiCZ1ABhii9acUygBd6LTbQzhhkpI3RoBHhIGtWaQWEgmX3CYqJaF0CWSDmJ6nYO/H0FZXetkPJWEExnoGaSvQDJ2edw9R/eZbjDUjmgnBwmIQgtVPTYdBg0bNoXfQpq1TR0q4WITODDx5qFWIa8NpXRC+jfTfQNiPbfz5bnH9yRw/mb2w1cNQNpEKFG5jM3NV3jo9yavHLzI3XyMMW1PusZiBvtBaWLo+s/M1jp+ZBASJmMlwfxtH9vezZ0cHQhd8+/WTVJouu7va8PwhmrHXkASIy3593JpHFEaYtkAErWJKN50XrUWtGqlR62Kh6ZIoEgSujghD3KZPPHll0pmha2QSyzcIktAqEU0rcTFl5Cj7c5jalYGCLgzcqIkbOlja0sdL6CkyZo55b7YVaIjWkkLObCNpZEgZGWJ6hlnnPPP+HN12G6F00aSGJlqJnq3S1iGh9Ailgy4ssuYO0tYQulj9zoFISiRyxdzLVuVIcUM1IpaS6Eox+O5h3GfPMk1IM66zUKxxVbMWYRBSmS9TaA8Z3N3aVTNaBNuEj98r6EhvTtAjhIYUcfB+jLQeVrkK19EZSyMQhDJCv8OaYd2pVKBwG6rUHJ594W3eODlGte6SStr0duYwzZUvEFJK6g2PE+emOX52iu72NN2DeY6PTzPYlkMIgeUN4BuTBMYUeti2OJ3tN32EEMSFxBQSXwr0mymEDqDJVqAgRev/RQSuje8LBCG+HxJfw+GCSKILyMVab25CCPJWB5WgSBD5V1RkvDTd70fukse69Pj++DC2FqPkzwHQFuunw+5ZnMFImR0EkcTUM/TG87hRlVo4QzOsEcg6bhSiCQNdWCSNHSSMTiwts+Z1eU0TC9tEV3j+MsDQdOxlAp8bkd/fzh5A+4fzTAQe9aSBxjtbJpciJTTrDp7r0d7psWu/TaQJTk9DIQmfuE+wv3eTU720TghHITgN5v7NPfctpjeRJW3GKHtNCvYd3BhK7XpQbkVSSo6fnuT7PzzF2GSJ9kKKzrZrC+YsRwhBKmmTStr4QcjUTIUfnrgASZ3BbBZMEBjEnP3Uk2UirYYepZGRxG8GaIaGISAmImpS4+b/Ei57vB5CYIBnIZAEkcR117bG4QQRtqGRjb0TMKWNHDmznaI7RVJkr3mtLvVvWI6hmfTEB+mO9QNck08QRD5O1OSBwpMcyN5PI5inHswx703yk+J3iWlJEkYeU0ug3cQnWUtvtexuBSVL/7xDGWAIC/MGm0MtRQhB4UAH8fYEqX84z+hshZIeIWxB0/MXKzrKSOL7AZ4bEPitTpi7DuTJtc0y3Ujjhq0dDk/dLejNb34+uBAxkAEynECoQGFFBTvJ3fle/mH6zJ0dKNxBVKBwmwjCiO8/f5LnXz4LwPBAG7p+49OCpqGTysZxp0JkMeDYKxfZfaCbTC6OEeWw3T04sTeJRAMZ2kRhtNjyOKWFlKP1KsgiwQgh0ogcG6RA0yAMQ1z32h0LK3EDSTamkzDfeV2EEHTFBmgENZphlbh+dWC12iDr2tc6khGz7ji98WH2Ze5FEzops52U2U5HbDcXGiNU/DnsFYoprVba1ohbGk4giS8TbwSRT9ZuZ/32pLwj3plk38f20zNa4tWXziM8KDYdgnoDTYIpNGxDx4qbdAzlsdIx6hRxqxp9BY0HdwqODrXqQWwViQ7hxS07/63knrZ+Xpg9TzPwiN+h5ZyFvMnukWpGQdlMQRjxt8+9xfMvn6UtlySbXsuE/PKmK1XQBIX2BNWyw8k3xtl7sIdsIYHt7UQKH9c+SSTChSqHrcel9QgRQChb1RBviiYh1JDNGISXyi0LAlisJrgaUkocX3Kwy7pm1sDSbPriw4w2T9MMa8T1VGsan6UDgNWIZMSMe5GC1cn9hcevyYHQhM7O1CF+PPedVqW7m1zr1TVBR1Ln7JzHUtkhoQzQhEbWvLEW2quhGRrpoRy9mUF+8cA9hPMeb1+cZqJSp9hsotsGpmVg6Dqd2SQDmRJDmRK7ejPLzoJsKpGEcAQpQ4RqerSiXekOhlIFRmrz7EitXAxMufWpQOEWJ6VcnEnoKKRIJ9dn/VlKyWytgWXoaEKQycaolh1OvzXJvsO9pDIxYu5eQNDUT6BnGshGK0M/qwXEtQgn0kiKlafulyUkmAFEAunYyODKX1WBIIhWf+xmILENwXBh6Wn3lJmlj52MNc9SDyvEtAQaAvsGpund0KHoTdFud/Nw25PkrPYl79cX303S+BG1oETGvPk3246UwakZb8ly1k7UJKmnSRjpZR69PmqeR9KyGOoo0DWc4uH7dgPgBQFeECJlq5KmbRqE1Z8gw1bJ7m1BxCGqgayAyG/1aLY1Q9N4tHMn56ovUg/cbVPJsu4vn1Ok3DiVsnqLO3FmiudfPkshm1y3IAHADUIcP8DULzU3EqSzMRp1j3MnpwmCEIFGzN1L0rkXfAstVwXTRxfQqfsErJxctywzQNgeshEjaiSQ8tpfU0ErxzEIVxcsVJyIvqxFe2L5T4oZM89QYh9pI0stqBDKCFOs/g0wlAFFb5qSP8PO5H4e6/goBbtr2fsnjDS7UkdohFWCaG3LKEvpz5rETUHDv/JF92WruFOb3bMhyw6Xm2nU2VNoozN55dq1ZRikYjbpuI1tXgr6lp79uFwkI0IZEMpgsR/DeooiSeBLfDciDDWkDEGuoVjUHezetgHuaxvgYr28LSo1hjJiolnevBNKefO3W4SaUbiFVWoO33v+JAC5zPosN1xSdz38ICSeuHwnQCtYKM01mBiZZ2BnOwKBHQ0Snq0RpE+T3FmFRJNCI854xcKRrZ0Q1yVauQhCD5GhTljKElWTiFwFkWos/Rhd4IchxnVyMdygVdxoT7t93cTOhJFiKHkXUh7HjVozA6ZmkzDSWFpssdvkJUEU4EZNGkGViJCMWeD+/HvZmTqwqm2I+zJHmXZGmHZG6bD7b6oKYSGh05c1OTfnkbRar4kkwgkbtNs96zJrsRIvDJHAg32rfR7X/l54kUM9LOGEdZpRBSesL261FAhMLUZSzxLTksT1DDEtuerXzG1GzE54FCd9Zic9xs+6lOcCokiCBCF8TMunZ8+zdO/cSVt3jkJ3nkL3tUmuSqv40of7D3KhVmS8UaY/mdvS8Yw3ynTFVYfPjaAChVvYcy+8zdhkieGB9V93bngekZToV71B6rqGHTcYuzBPrpAknWsFKMl0gYsv9aE3JUbHHPHCPL3ZEufraSwRokttoR6CYPECoUWgRwit9UlR+gZhLUPUiIG/kC3v2K1A4dI2Sd55uNAFXhgSZ/ndAlJKZuohu9tsBnOrS7oSCJJmmkezHyZmJDhbe4uKP0/VnydCLqY3SinRhY6lx+iOD7AzeYC++DCWvvqZHUuzOZx7Dz+Y+UuK3hQFq+uGL0pCCPZ02Jwr+rhBhGUI6kGVhJGmw+5no6vLj16cITnvM107x3+feYMwiIglLDr6C7T35Bnc14Mdv/xnYAJRa1tuWKLkT1EKpvEXqlnq6OjCvKKiZDOsUg/nkbQKXqWNNvJGN2mjsGRgJqVkbsLn5Ct13vhhlcpcgOe1foZ2XMOKaa0CXKI1u9CoSo69cIE3/mEMhCCRjjGwt5e7372PnXcPXjV+pSOW4sm+/Xz97EuUvAY5a3UFwtZb0W0QyogP9N7F/2dLRnB7U4HCLWqmWOONk+O0F5I3tbthOX4YLVu8JxY3Kc83mRovLwYKqY4UmmngTVpE81lE3KEtX6IY96noGhnTQzMuSxOWAhlp4BuEnoX0zFbCYnTVc3Fs8MxWvoLXCgiiKELTBZqptT4NrmC+GZKJ6dzfn1h11cJ6UCGhZ9iVPkTSSLM7dTeNsErFn6cWlAllAAhMYZI2c6SNPHF99Z9sr9YR6+P+tg/w4tx3KHqTFKzuGz7WYM5kR97k9JxLLtEkbiToj+9e1y2RV2tMVBj78QWmT0zTbyb4cbyIYRkITRAGIWEQoeka7d05Dr97L/c8tp94KgZ6O673JlPeMUr+NBEhloiT0vLXff5SSgLptYILf4qUnqfH3kXSyC1+/8IJh9d+UOHssSa1ckAqa9Dea7WKgi11fOkBNsIeQAidKIyoV5q8/ep5Tr18jo7+Ane/ex9HHjtAcp1n8G5lD7QPMeNUeXrsBBqCjLW5r03Ja1L06jzVd4Aj6f5NO6/a9aBse8dPT1CpO+xqWzpR7ma1Kv0t/WYthCAWN5mbrtE/7BGLW6Q6k6Q6ktSma6Q6jNZFv9lNtxFQy9WpaSEJwcLMAK1AIdQXdzIsSwpkPYHIlxZnFaJQYiVMIk2sWAGw6Uc4oeQ9A3EKidX9qkcyohaUOZi9n+RC4p8mNFJGlpRx89sYL3HDeRrBBE4wixvOEUqfHTGNkcYU0844OWsIS2tbc8Cga4K7eyUXyg1cP8HezF5i+sbsdY/8kJmfXGTqhRHmizX6+9u4Z8+OJXdwBF5AcarM01/7ISdfPs97f+Yoqf46k855XGkS19MYa6hEKYTAFDYmNqEMqYXznG2+Roc5QNLv48d/U+OV5yq4zYh8p0l7b/z6r6X0QW9f3PGg6RrpfJJ0PonvBRQnSzz9f/6A4z8+w3t/5kF2HRlSSxK0diE91XcQLwp5duJtQinJ25szs1B068x7Dd7XvY8n+/ZTr9Y25bx3GhUo3IJc1+fV42OkEtdfc79RlyZ7l2PHDMrFJnPTNfqGCghN0LarQHWySuCFGFbrzTYVGPTWYoymHJxIYF89Y7AKsh5HxB2IOUSNVt8GI2biEbLcdLobRBSbIQc6Y+zrWP1SQGv6v4P9mfvXPM7rkTKi4p1hznmNefct/Kiy8B2BQEMiaTObGP4cNecMmlYgbu7B1vtXtV3PDRuUgyKWrfOh3Xv5yXmJ4+vE1mmnn5QSt+7TrLo0Sg6zz1+gfmoGL66R7s5y10Dvsts8Dcugc6CNwA8YOzvJ//mHf8Khj48wdCgkqXfcVFlpXegktRxu1OTl187z9t+UKZ9P0dZl0z24lpmUEKEtHQyalkHXYDuBHzJxdpr//od/w9H3H+Lhjx5Vswu0dkH89MBhLE3n+xOnqAUufYncmjuTrlYoI8bqJSIkH+o7wJN9+1U56Q2kAoVb0MRMhdlijZ7OjUvcuV4AIoRANzTmZ1qBAkBhR47SSIn5kTLprnem4jsci1BIxpMuUkTEwjX+QUtBVE6hmR5S8zFjCXRTQ/jhkmGC40fMNkL2ddg8MpRa9ZJDI6ghpeRw7uHF2YT14obzjNWeZrb5KhEetl4gbQ4vGQDkrYCiO8K8f4GG9zw18pjGPiy9E0uz0dABSShDvMhp9aSImpiaTU9sB3vS99LVv4O8dpKnz55GANnYje+IkVJSnqoze7FCaaqO7wa4p6YJLpQIkwa6pyHnfN5qjtPZnqarI0MysfQF2jA1skMVLp4b4+U/i5ONF+jZ68GainEvRXD6uQQv/3WE6zbp3RGRTnSu4fGtPhiI1Ir3MkydgX09VOZq/MNfvsT4mSk+8pn309aTu5nBbxuXuqXeyAcQQ9P4qf5DdMcz/M3YcU5VpulP5EiZ67vsVfUdxhtlepM5nurbsrvtyQAASplJREFUzz2FgQ0LSFakSjivj9/+7d/mr//6r3n11VexLItSqbSRp7tjzM7XCMIIy9y4H59t6CCvqKN0DdPSadR9Aj/EMHU0XaPv3h4axSaNYpNkW2v6USDobtoIYDzpUjNCEoGGtobkOulaeNNxrO4G5sJMugR07Z2gQ0pJyYlo+hEHumI8MpRcdSEfJ2xQCYocyDzAQGLPqse1GiX3JCPVb1H3x0mYPZjaykGIphm0x3fSFttBxZ+h5J7GjY7hygpVWVhYbhFoQsPW4mTMAh2xAQYSeyhY3Yuf6j+6dx8Rku+fO4MbBnQk1p5H4TZ9Lp6YZW60QhRKYkkTrRLgzdQgZxFLWnQlU8R0A8fxOT86x+R0haH+Aj1d2cXunpfU/PM0ghE6BlLMnhe89O0cH+ydIHYTRcKkhNe+A69+G+ykRlu/iScbVIM5skYHq0rilA3QEqCtLjE4VUigJSOOv3mS4v8+zQc/8y4GhwZJGrl1a7q10arzNcbenmRufJ6Jc1PMjM4R+K38Gztu0j3cRddgO229efr39RJbJvi7nCYE97cPMZxq53+MHeOl2RFmnBqd8TTJm6zgWPddpt3W0sKjXbt4qu/Api1x3Ok2NFDwPI9PfvKTPPzww/zX//pfN/JUd5Sp2eqKXQLXQ9K20DWNMIowtGWmk02dZt2j2fBIZ1tv9PFcnP6jvVz40SiNYpN4PoYQrdbDXU0bO9SZSDrUzJBYqGGtYilCSvDrPrqdIqalkFq51YURDctovSl7oWSmHpA0NR4ZSnKgK76G5MUq1WCefel7uDf/6E1XSbzcvHucc+VvEEQNMtauNVX8E0Ija3WRMTtpBpN4UY1cbCdZ+x6E0DCFScrIEVsmkdLUdT6xbz8Zy+a7505zen6OwWwOW1/dn32j7HLm5QlqxSaJjI0ZM4j8kLkTk3hhSCKVoD2RIG62kkwTCYtE3KLe9Dh5dopKzWHvzk50/dLPaJ66fx5N2OhajPYhyeSpGCd/GOPwk1d2I10tKeHYM/DKX0MiC+l2AA0Tm2ZYwxJx4vr1ZockSAeh712xc6SU0AwrVPw5qsEcQeQT9ge8dXyM8f9wint+sZf2rgIDiQP0J/aS3sAqmDdKSsnY6UlOvPA2x54/SXmmikRimAaxpI22kBjtNl2mR+aIwhChabT1FTj82H7uemA37X3X32bbFkvyP+98gAO5Hn40fY6z1VnGooCClSBnxTG01f0dBFHIvNdk3m0QMwx2pzt4pGsnh/N9WzOLcIfa0EDht37rtwD46le/upGnueNMTFeI2RvbCjdhWZiG3qpTsEygoOuCMIxwmv5ioABQ2JFHRpLRF8eozzRItMXRdA2BIO+ZJAOdiYTLbMzD1ULsSGBGYsmOg1Eo8Zs+hm2Q689imSZ+YOKIWYTpEUSSqZpPGMFQzuLBgSTtydX9WocypOhOoQmNQ9mHOJJ7GF2s359E3b/I+cqfEUQOSfPGE9+EECTMHrRghpr3El3xXbTF7lnVY3VN44O7drOrUOCvTp3g+OwMccOkK5nCNpZ/rk7N4/RL4zRKDun2BEIDJ/CpjBQJSk3yXTnaUkn0q4MxAcmEheXrTEyVEQL27upGEFLzTxNJH0trVT3UDUEiF+f0T1Lse6RILJVb82tz/lV4+a8glr4UJLRoQkeTGrWwtFD/YoW/F+mAsEHvXvYufuQx645S8qaJZIihWVhajJhukNwrmTld49T/Vcb6f+i87j/D6dpL7E0/yK7UvVd0Jd1KlWKNv//vP+LNH5ygWXfItWcY3N+3GBwsx/cC5idLfPf/eI4X/vplHvzwvTz44Xuvu1VUE4L72ga4p9DPueosrxYv8lpxjAv1+cWy5XHdxNL0xYt+JCVeFNIIL23P1siaMZ7o3cs9hX52pNq2TYCgdj1sEdd1cd13SnBWKpUV7n3ncj3/iin3jWAZOknLpNx0Fj8xXk0IgRCti/nV2nYWMGIG469MUJuqY2dsrGQrEdGKNAZrMXKewaztUbECmmaEFQmMSGBIAVIQuAFREBHL2KS705hxEyklMsjQcCSRWUfTmnSmdA51ZtjXsbp8hFAGVP0SzbBOh93Dkdyj9MZ3rFtiaCQls06ZF6f+itFaDSG6CWWr8qIuwNYFeVvQZmtkbXFNrYrlxIwO6v4oF6tPkzIHsfXVF1DamS/wz48+yAtjF/nhxREuVipEUpKxbJKWScK03nmzjiSjb81QLTaJ5S1qvosXhq3qiiUPLR6nPbPyWr5p6qSSNhNTZTLpOLlCBTecw9SyV6wEZDpNZs6mmDxTYeiwi1hDJcz6fGsmQUrILpGOYAgLTzaphyUyRscyR4lA1sEYBrH0zIMT1hlvvk0jqGLrCcyrdmcIQ9A2nGTuRJ3Z52Hfh4aoBUVeK32POfci9xU+tGE7T1ZDSsmJH5/muW/8kIlz03QMtNE93Lnq33fTMugcbKdjoI35qTLf+9MfcP7YKE986lH69/Rc9/GaEOzKdLAr08EHeu9isllh2qkyUS9zvl6kEXiLlR01ISjYCe5LDdCTyNIRS9ETz5Kx1q/qrLJ22ypQ+OIXv7g4C6EsL4rkhi89AHSkk8zWGivmKYBYTIC6WrY3Q6KQYPLNKebOFqlO1jBiBlbCRLd0sp5JxjNo6hEl26do+bgE1KJWER4trhFLx5Bpm7LwwfUAgSEEUWDwnoG7ec++FJ52jnIww5xXwtbiWFoMW48tJP1BRIQXOXhhK/FPIsmabRzIHGV3+m5i+s2vc4ZRxOnKHK/OjnO6PMtE4wKzzUk0kUOIK8szi4X/ieuQNDT6kxp7cwZDaR3zOoFOwuil4p1hrPY9hjP/05qCG9sweGxoB+/qH+DU3CyvTI5zdn6ekuMwXq22xiagOt5g7tw8VtokRJK0LIaTSTpiCc68OEO0ynwC09QxDJ3zo7MM2TPopnHN0otuCCIZozTdwQ45ihTmqspMRxG88j+gOAbdy6WUCIGOiRM1SEp/6VkFWQYthzB2L/k35YYNxhqncMI6SSO75KwXgGFrJAoWZ74/Q8feFG0724hFKUYbx5FIHmj7CJa2+Rc7KSU//vYrPPP155FRxNDBgRuuuyKEoNCdI5VPcu6NEeYm5vmpX3o/e4/uXPUxslacrBVnX7ZrcXyBjAgXynPrQsMQmtp2us2sOVD4whe+cN2L+Ysvvsj99699e9mv//qv8/nPf37x35VKhYGBgTUf53ZnGNqm1FbvzKQ4NzuP4wfEl0mclJLF9tJLMWMGA/f30bGnjfnRMsWz83h1j3DeuSzpV5JCkBIQJixE3sTqT6IXbDBb/SJ0TcPWdJKGRehFaAn41QcfpTOTIpQPMdkc5WLzDLPuBI2gSi0oEy3U7NeEhqXZxPUkvYlh+uLD9MZ3YK1DEaKq7/LG3AQ/mhrhfLWIH0WkTAPBDL1JbdkWvKGUOAE0Q8lrcwGvFwO64hp3t5nszepkrKXfzIXQiRudzDvH6E4+RsJYvpfEcixd51BnF4c6uwiiiNlGnal6narr4vkB3z9zjExOMthXIGXHsA0dgaAxXydwA6zk6l+3VMJmtjTP7FyDvt6lP1UblqA40QZaCSHLSJFb9oJ8yYXX4PQLkO+FlZa7dQw82cSNGiSubuctG4BAGHsQS9RwiGTElHMeJ6yRWCFIuCTZbjF3us7xb03y0D8fxozZFKw+LjZOkjU7OJR7bMXHr7dLQcJ3//TvSaTjtPWsT6MryzYZOtDPxJlJ/urLT/PTv/Iku+8dvqFjteph6JjX6fmxLaldD8v73Oc+x6c+9akV77Njx44bGoxt29j29uhCtp3lMgkmZzZ+WSZpW3Smk4wWy0sGCpdmNi7VTFhJLBujJxuja38HbtXFKbu4NY9ooQKkZujYaYtYxsZO2YgVgo/TlTke3NlP58L0ty4M+hLD9CWGkVLSCKuLFRSlXNhnb6RJGplVZ6RHkeT83DxjpQqOH2BogqRts6+7nWw8hpSSV+fG+faFE1ysl7A0g+5EhoRh0gymmJN1TG357au6ECRNSJoCYq1kzKIb8bejLi9OazzabXKwYCy5LGFqWZxghnnnTRKptQcKlzM0jZgDvF3GHZ/nzZfOMvLSOeK2wQVjDDsVI9WZJpFPYVg6Moyuu6Z9BQG67jE3p9HbrbPUy68bArehIYz9SP91iCpILbPshTkMWgmMANct7S8EQuo0wxoJPcPi3Jh0WgmMxh7Qlt5GWfKmqQZFYnr6ukFC61SC3GCC6VNVJl8vM/BgAVOzSBl5Tldfpju+k3Z78yoHnnzxDM98/XkSqfULEi4RQtCzq5vx05N8+79+j0/9vz5B5+DGFH9Ttt6aA4X29nba29UvxFbq68ryxsnxTTlXdy7NeKmKG4StLZOXaW2L1IgnVr/tSdM14rk48dyNbYerOS6GrnHvYO+S3xdCkDQyJI0bqzHhBSGvXZzgxfMXOTc7jxsEreMufL+QTLC7p42y2eBkdQYB7Mq0X5Hw6YbzgFzTNjlLF3QndCIpmWlG/PWIy7lqyHt6LAr2lRdmIQS6lmTePUZv8n03PE178fQkb/7wbU68dI5qsY7QoNxwicII3dCQUlKbq1KZKCGRaLpOfa6KbhnEc1cu10gJQRji+yFhJFtbOGVrKUNqTTxHo9GMSKWuDTKklK1ZKb0DwUHwj4EsI8XSn+InT8PsBchdf3kcaAWKIa0OlLowWzMJ0gFjJxi7llxyiGTEvD+Jhn5NI7CVGLaGpgtGflyk//48QhMkjSzTzgUu1I9tWqBQKdZ49hs/REYRbb0b0zJbCEHv7m7OHxvlma//Az/7ax/B2MAt28rW2dCf6sjICMVikZGREcIw5NVXXwVg9+7dpFIrJ0Mpy2vLp1pJhFJueAZwWzJBby7NSLGMmYxfcb7AD7EsAzu2OVndUSQZK1V4ZNcg+7qXS067cXXX489ePsbLI2PomqAjlSJpvxMEhVHE2WqR/3byDL4ecndXN3uuKqEtpcQLy2grNKpaiSYEXQmdZiB5Yy5gvB7xvj6Lfbkr/1RNLYkbzuNHFayrp9Svw2m4/Pg7r/Pid9+kXmmS68gweFcPmqZx/O0JbMe/pq6BjCSNUh2n0sRreOT68sTbUjS9AMcL8PyAIIzeWRJbSGwRIiSWcHAck9HxGvmCIGYZxGNmq920AN+VZLsWXi+9u1Wl0n8LEc0htSziqtfy3MutWYXVthTQ0AmkTyBddGqA1ppJMHYtG2TVgzJuWCemrT0JMdVpM3e2TvF8nbadrfe5pJFjvPE2+zMPk7jBIHa1pJT84M9fYPzMJDsODW7ouYQQ9O7s4uSPz/DK997kgafu2dDzbSdq18M6+df/+l/zJ3/yJ4v/vvfeewF45plnePzxxzfy1Le1zrY0iZhFre6SSW1sgpQQgl2dbZQaDlXHJRt/53yeH1LoTK+Yo7CexkplenMZPnT33nU/p+sHfOMnb/DShTEGClkS1rWzJLNhnfMUMWIC27MZmS6RMWN0XbYDIJIegXTQVtqOtwpxQzCU1phsRHx7xMWPJIcK7xzT0BK4fhEnnF1ToDA3UeLb/7/nOPfmRXKdGXbsL1xxsXTcpXfUCE2QyCeJ5xI0yg2mL8wiJ+bRCkk0U0fXNAxdQ9Ou3OYq9BBdb9WEiKIQx/NpOB56TRCzTZJxiyiU5Hsve731ToRIIINTiHASKUwQKQQalRkYef3KrZDXJQAZEkbzYPQsLjesFGO7Ub0103EDxZPslEFlrMn4K6XFQCGup5jzxij7MxseKEycneLNvz9B50D7hjSMu5qdsElk4rzw7Zc5+Og+EjdRPEvZnjb0t+irX/1qazvbVTcVJNyc9nySXYPtzJXqm3K+uGWyq7ONSILjt6biwyBCE4K2rs2ZGao0HYIw4smDeygk178a2w9On+elkXEGC7klg4QZv8Zr9XG8KKCgJ8glYkRScmJyhqb3zq6GiABkBOtQtEkTgp5E6zh/O+pyrBgsfk9gIGVAKN3lHn7tcxgr8hdf/i7nj12kf083+Y7MtZ+oV9jiEgQRri5w/YhAg6jpQ7GBJQSm0QoWrl0qWCgJjGglpJoGcdtE1zUajsf4xSr1wEHPh1cmd2kphHkPmIcQmIhoHhmVmDoX0KxCclWz6RFIF2QTpCTSOhHWAwh95SABwAlriJv4GcayJhNvVoiCVja/JnSklFSD4g0fc7WOv3CaZs0hld+8LZltvXmKE/O8/fK5TTunsnlUF41bkBCCI/v7EYDnB9e9/3rozqYYastR9zzcIKTZ8EimY+TyG19CteZ6TJZrPLpnaNnchJvh+AE/Pn+RtG0Rt66dCSgFTV5vjOPJkJweW7y4ZmIx6q7H9AZ2rBNC0BlvFbt++qLL2Upw+TdXfZx6pcFff+VZxs9NM7CvF9NaejLRsgzCMLria1JCte4wMVfB1zU0Q8PQNIyERej4ONNV5FWPuezRi/91+USFrmnELJOgohHvkVxsTPP26AyeH172/DSEMYiwHwbzboSWpTzpQOQiaC4EAcFVN28hMGi0vi/0VllmPY/Qe5fc3bCUIPLRbuLt0UoaeLWA+qz3ztNBEESrD+xuRL3c4Ng/nCDTltrULYa6oWNYBm/8/VtE0XK/C7cZuQ63W4QKFG5Ru4ba6e3KMjVb3ZTzCSHY09XGYCFHpeHQdH26+jJry4C/AdWmy/h8hUd3D/LRI/s3ZJnj+MQ0U+UaHelrP4EFMuR4c4p66JG/LEiA1nXa1HXGShXChTdHDaM1myDX982yM67hhpJnxz3qvkQSINDRV1GgSErJ83/9CiMnx+nf3bPidHQqaV+x9TYII6bnq8yU6shIEk/ZWJk40mtd0PWYSdjw8EqNZVp+C6KFCRbTuvL7TjnCjAl2P5wgZplcGC/y2qkxSpXmVYewEcYAwnqQ2dEBzEQWtDQIg1Yzp/CdmxAgkqC1IfRuhN6P0Aq0VlnX8rsqbup93EzoePWQ2vQ7gYFcabpmnYydnqQ0XSHXuX4t0Vcr35Vj4uw0xcnSpp97S6hAQdnuLNPgvQ/ugYVPe5tB17TW9kDNQk8YyIS2bLGlmyWlZKpSY6pa47F9w/yjowcX+zqst1NTs0Dron+1806Rab9Gzogv+QktaZnUHI+K07ogaMJCFzaRXN+ZHrGwDDFWD/nhlIcf1jG0BLZ+/X4CZ94Y5eW/O05bTx7DXPk1TCVbrcvDMMIPQmaKNeoND9vUsUyj1WMin0CLGUSODwI0U8cvNwgb/hJHFASBhmFEWJcFCoErac5H9N5rkhvSsS2DXCZOpe5w7OzEkstqniMpTxvE0hmE1oXQB1oBhDGw8N+DCH0Qofe0ggORgoX9+QLQlijPHQQRjuNTb3g4rr84m2JpMSThNfdfLU1vFSK7PFAANrxC49z4PBKJvkF/KyuJp2I0aw7FidKmn1vZWGovyy1s/+5u7js0wPMvnyURs66buBRFEZX5BrWaQ73SpFF3iaLW1rRE0iaZiZNKxcjkE9d0/bukUnXY2d3GXUd6eWN2mtPTcwwUcsTWcVuU4weMFstkYjYfv2c/79k7jLGBMxflprNkEDIfNDjjzhHXDIxl1qt1TSOUEcHCBUYIgaVnqUfrP9Oja4K2mMYrsz7d8Sb783ksbeVPjlJKXn7mGIEXkClcP58kl02QSrQSZeuuh+MGxCzjiiBJM3Ts9jTuVIXI8dFiJtIJCSoN9IR5RZ6CjAyCQCff5qMtdPL0G5LaVEjnQZOhh+3FY2tCkE/HKdccjp+bYv/Obtqy7yxt1YoBXjMi3X5peUiw+Ba2wgd1udBC2hCJhdcEytUmM7NVZuaqre2cCzuIDEOnqyONlV0oF77yoVek6YLaTCuIDyIfTeikjdWX3b4RkxemtyRIgNbWZyklc+PzcHRLhrCpBDc3P3Qr1Z5UgcItTAjB4w/tYXRinpHxIkP9SzdMCcOI6YkSU+MlquVGq8iR1npTFKL1yadaaSLH5tF0jXQ2QVdvjs6e3BXBR73hUqo0ef+j+3jfw/t4ZL7Mt18/ybGxKWKmSWcmibVCo6Hr8YKAmWqdhudzoLeTnzq8j4FC7oaPdzOklJxxZnGjgDZjbXkYtp6n7l9EynBN3SJXI2NplL2QH06FPNi5/7rr0BPnZ7hwYpy2ntyqjq9rGp3tGV56c4RISuK2ueQ59LiF3ZXBnam2kho1gV93Md0A/bKGZb7fKqiUyXpEoUVjNiL0oOeIye4PxjBi1x47m4pRrjmcPD/FoV09izt7Ql8ShSwGHKsVSR8hTHQtSbHUYORikXK1QRhG2LaJZb7zd+D7IWcvzGImfMxODy3pEL/BPgOaLgjcVgBZD8ukjBxZa+niTutldnRuVe2gN4qmacxPl7bs/JtKytbtZh5/i1CBwi0uk47z8Q8e4RvffpkLY0WGegtXrONXy00unJ6iOFtF0zUSSXvF6efAD6lVmlTm68xNVRja3UU6G6fecJmcqfDgPTt47IHdAPTls3z60aP8+NwoPzw9wmixAkjaU0nSMXtV+QRRJKm6LrPVOiDozaX5qcODPLSz/6aCjrXIxmN4wZXTzJXQYcavk9KtFS/GYRS16tNfFlDF9DZMLUkQNTH19d8V0mb7TDs2814fO65z3zOvj9CsuXStumqexA1DpFjY573Cj1CPW8R6c3jFOkHVIXICvLkaVlsKzWgVjwocn1xW4M75+I5Osl1n8AMWXQeNFS/42VSM+WqT06MzHN7bh6FryIVP/mvN0YukC1GC0bE650fmCMKIVMLGThnX7NKwTINEwsLzApqVIrNhkfZUB/EbqRUiIPIlUkY4YZU96fs3vN+D74Ubnje0Ek3X8N2llqCUW5kKFG4D/d05fvape/jz77zGuYtz9HfnsC2D2akyp49P4DqtNtC6cf03EMPUSWfjhEHE3EyVaqVJ52ABYeo8eM8OPvzegxiXTW1ahs679+zgweF+Tk7O8tL5Md6emmWmWkPSKhGcsMzW1rmFT21hFNHwfIKFBMCkbXF4oIejQ33c1dO+aQHCJXu72vnhmRH8MFzMU5j0q3gyJHOdZMG655OKWWRi79xPEyYJo5eSdwpdhje0F385rSnyOpro4Ni8x73XqTt18fQUdmLlYOdyxUqDidkybYUklXITzw2w7GsvqJdoho7dkcbMxnGnKq0PWX6I1/DwvYBY3CIeS5LbMU/7HoO2XTGs5OouZJlkjGKlwejkPMN9bQhNLPwOXf+xUkpqdSiXI8o1DaduUSqNAGAaGnXXw9D1VvEn2yRmm4uzcQKBbZnoopN6MMJsqURnIY+9zE6R5QcBmiko+dNkzQ6GkgfW9vgbsA67cm9KK5BTqW+3GxUo3CYGewv8/EeO8rfPvcXJc9NIP2wVxYkgV0iueUFMNzTSuThTxRqNM1P81JNH+OgTh64IEi5nGQZ393dzqK+L2WqdqUqN6Wqdi8UyY6UKfhguNpCyDYs9Xe30F7J0pJN0ZVJ0pJNb1jFuf08nXdkUM9U6vbkMXhRw0SsR04wVxyQl+GFIX67tmiJFSbMfJ5zFDeextNy6PTc/qmFqSQZSQ7xRnGC6WaMzvvSshdv0mBmfJ55c3adYPwg5e3GOIJLkU3FMQ2durobr+FiWuewMkRAC3Tax2lKgQeLuAZyaQ0c2wc49XWTaY+R3/A26WST0Vr+Mo2uCuG0yOlWikEmgmxqavnRb80uklMyXYHo2olZrlZUWwsCpt45nLVzsIynxgxDX8ynXHWxTJ52IkUrYiwGDHiaJyzaa2gyz8xV6OvJr2nUThZLQ8Igw2Z99lKSRW/Vjb5Qdt6gVN6e+ylKiMMJeQ0n3W5pqCqXciro7Mvzjn76f7z77Fl/7xgs0HJ98No5ErqqpzSVBeOkTv6S3PUMmFJTfnqFcrNPWuXJVOSEEHZkUHZdVK5RSEklJGEl0TaAJsa3ayMZMgwd39PMXrx6n6fmUadKIPPLXaT9dcZyFxlnXXqg1YZCxdlN0XsOPqpha+qafcxA1gZC0tY+EUeBUeZa3y7PLBgqVYg234ZJtS6/q+BOzFUrVJtmFnIB4zKKjI0Npvk6z6be2OBr6komuEkmkCYKGhxVGDB/qZ3CwgLmQ5OrV9pJs+3tC4YNc/TR+3DaZrzY5P15kX383VlzDa0TYiWsDVteTjE1I5uZa78CxmCSmeQRenGakEbts+UBDLGyI0IkiieeHzJbqNByPfCaBbbZmUUy3nSjm44oSNccmk1jdrgUJeIGH2WaxL/0Qg4n9q37ON6N7uJOxtyc25VxLkZJ1b0C1XalkRuWWpQuBM16h37QQ7Vmmq3Xm6y66JjANDVPXMbQrL9RRJPHDCD8M8RYqLmbiFr35FD3ZFJoQjJye4tm/eYOP/8/vWnNWtRACXQi2cOn0ut69ewej8xVeOn+RILUw+7HMhV1KqDgumhDc1d2xZJEmAFvPkbX3UXJO4EcVTG2JSoirIKUklE1C6ZGxdpIwehCiFfpN1pffXRGGETKSq1qzDsOIidkypqFdMTtiWwYdnRnqNZda3cFzA+RC++5LT6W1RVYgpMS2Dfbt6aJ7R/sVz9Wt7cVKnMOMX8R3eljL22QqbjFfbeBGPtkui5lzzmU7H1qqNcn5kYh6A5JxMMxWEiPSpFGzV9wRpGkC2zKIIknD8XH9Km3ZBKm4jZA6ttODS0TNrGHYkpiWQFthej2UAc2gBkJy986HOJB9dNOm4zsH2tmqekeBH6Dp4o4JFO4kKlC4zZw5OcGJNy4yvKOTeMJi2M8yU2kwW2tSdTyaCzMFl96mpXyncJBtGnRnbToySfKJGPpl06xd/QVOvjHK2ZM72HOwb2ue3AayTYNPHj2ELgT/17nXaODjifCKbZORlDS9gKbvEzcN7urpvKLPw1ISRjciplF2T+GFRUw9s6Y+EJEM8aMKGiZZazcpc2jxApwwTM5ViwvrwtdeeDVNwEJeyPUUK3VqDY9M8tqcDE0I0ukYqZSN6wb4foDnh0RhBEJg6BqmpaNFEukG5PJLLCNJk0bpAdL2HJpRJgpyq34NTEOn2nCZnq/SMRxj7Hjjiu9Xa5Kz5yNcFzLphY6VMmptiwyyeF6EbV8/uNW0VsMqzw+YXajjcClYiAe9OHPzkIxwjFqrVoEw0dEvnZBABkQEaGhYXpq+fJ77dr97XXNUrqetN49haHiOj7VJzdouqZcbJDOJDetWue2opQflViSl5NjLF4jCaLH1c8w0GGjLMNCWWVxSaHoB0cJygLZQpz9pmcQWtoktJZ6wCMOIY69cYPeB3m21dLBekrbFzx49xPPN84gyNF2fqnupYI4AJHHTZGdHgd5smkx8dWv/caMTQ0tS8c7QDKYBiSHiaMJe8nVs7d/38aMGEGFreTL2bmz9yjfgpGkx69Sp+i6ZJbbwxZMxTMvAd4PrbJmTTM5WAblkQ6hLhBDEYuYVU/iXc6sOkaFj2Eu/rYRuF07pCPHCC0hpIsPVFx+KWSbTxSr59tZrcCk4cr3WTILrQjrFwo9JEkkXU8vQ9G2gufqdEqJVxtrzQ+ZKdQy9VWraMgzq5QRZv5N0RlILSjSDKoH0QEoEGjE9QcLIkDLyNGohsbxNfpMrJPbt6aFzsJ3ixDzdwxu7FfNq81NlDj92gMwql7qUW4cKFG4jxdkq505NUuhY+g/V0DUycZtM/Mb2Wefb05w9OUFxtkpbx8Z2wNsqjcgjFTe5P91HGEoqTZcwilqFlAyd9mRr/XqtTC1JwT6EY8zSCCZxgyJB1FiYgX+nmdKlaoACA1vPkzB6iBsdS85CJAyLklthzmksGSikcgmybSmK0xXSKzQIaro+89UGcfvmktAC1yfRlsJY4ZOsUzmM0JvEsq8RIYnC1W0fjdsGpaqD3QHxjE59PiCZNxgblzQakE6zECREhNLF0FLYRjv1qLmmnhiXWIaO4wUUKw26C+nFvIwoEmTMAhmzDSkhlD4SiYaGJozFU03Pj3L3o/s2vfiRZZscfu9B/sd//d5iMbXN4DY9dEPn0KP7NuV8yuZSgcJtZHaqQqPu0ta1MRfxVCbG/EyV2anKbRso+FFIKGUrqLIt8on1a5krhEbc6CSmdxBYdfyoRhDW8WV9oTeEhqHFMbQkppa8bk6DLlpVIf1o6VLDQgj6dnUyfnZ6xXE1mj5+EJKI3XygkOq6Xh6GRnP+QZAasezrCN0h9Apcr5r8pWOKVMTg3SlOPV/GEwZzRUkifmn23yeSAaaWxjY6EIvHvIE5XgG2peO4rV0R+XTimoRgIcBYIoBrVJvYCZu7FuqNbLZ9D+zih3/5InPjRTr6r1/iez1Mj8zQs7ObHYcGNuV828IdtPSwjdPLlLUqTlda++xXmD6+GZqmIYHizOY0otoKYRS1prU3MCdZCIGppUgY3WTsXbTFDtMWv4e2+GGy9h6SZi+Wnr3u8o4mRKuo0QoNqIbu6kNoAt9dvvdEw/VWTN5cjdAP0DSNzKoqQOo0Sw9Qn30vMoxjxicQWvP6j9IFlZrD8AMphCaYGG89J8OQhJGDBGy97YogQdPEDb8hC9FqjV1ruARh1MpLWEViaHGixMDeHvp2d93YiW9SriPDuz56lNp8HbfpXf8BN6kyV0U3dB772Ycw1rGU+3Yn1uF2q1CBwm2kVnU2PHdACKhVr/+mfqvShLaQjbD9RQvr9PoKGfU7Dw3Q0VegOFVa9j7Vunsjs/NXcEpNEu0psv2rTWTT8Op7qU59BLe6F92sYcTH0IwKrY6Q1zINnXrTpWNXjHiHRWncwbRcIlwMLU7c6MbS85fNJLQqLcKNV8s1DB0/iKjUHQxdJ3Wd8si+6xMEEXe/+64NC9hX4+iTR9h7/07GT09uWOM2aO10mB0rct8HDrPrnh0bdh5la6lA4TYShdEmBAqCKLh9+82bmoYmNKJ1bhO9ESLZ2spqrHBBsmImRx67i0bNWba0bq3hYt7EWnroBwReQMddvWjLHCeUEV4U4kfhFW2soyBDffYJqpM/hVM6jBASIzaJERvDsKfQjBKaUUEzqsTidXRzhop3CntXQBRJjMAmpncTM3rQxRIJnTETyzTw/RvrBClaG0eo1JrksgnSqeUTWKWUjJ+dZseBPvbeN3xD51svpmXwxKcepa0nz8VTExsSLIRByMiJMXYcHODRjz9wWyY4r+hSr4ebud0i7px5ojuAabf2gm+kKJJYy2S13w4yVoy4YdAMfFLm1jXXWY1mGBDXTXLWynkU97znLk69cp4LJ8YZ3Ntz1Ru6JLyJAFNKSX26Sm6wjY593YtfbwQ+s16Tqu8y7zs0goAIudDuWSNrWuTMGGnTosNKgNtD4PbgVo60AgSzjG5PY5jzIEKgtbOgUW8jrT1MulOjfe95vJEKeura/IFLNE2QStoUS3UutZxeK00IPD+kvS214sxLabpCPBXj8U8+jB3f+uqE3Ts6+cg//wB/+aXvMHpynP69veuW3Bj4ASMnxujf08PHfuVJktm1NU67bdw61/qbcvu+49+BcqtoI3zzJLnbePuTrRv0JrOcLE1znTYKW67ue+TsGHl75UDBjls8/jMP8o3/798wM1ak87IENylZvIDfiMZcHTNpMfDgMJqhMec2udisMuHUcMKFHAJNwxR6KwdCtmYXJp06480aAkHatBiIp+mLp0mQwmtc/nscLQQKrU6U4zM17H0PUK+/xuCDdzHROE59pkKqa/ltiImERbXm4LoB9lqDXAlBEGLo2oqNoXzXZ36mwvt+7mEG9vas7RwbaPjQIB//Xz/Et//z9zh/bISe4S7iK8yKrEZ5tsrceJEdBwf42K88qQos3QHU0sNtpK0zg2Fo+N7yiWs3w/cCDENfdvvl7WJHOo8b3thU9WaqBx470oVVJSEO7OnmfZ98iNAPmRkrLn5diBtLqpJS0pirAZLBh3djtiV4szLDD+fGOFcvIRC0WXHa7QQ5M0bSMEnoJgnDJGVYFC59z7JphgFvVmb5h7mLjDQqVyxNgNYq+SxNpBQIAU3Hw/UC0oUUAw/uAqBZaiw5TmjlNhTySTRN4K3lb0OC6wVYpkEyaRMuM1sXBiGjb0+y6+5BHnzqntUff5PsODjAz/+/P87d79nP9MgsE2enbug9wm24jJ4cp15u8OgnHuCT/9vHVJBwh1AzCreRrt4cubYUpWKdju71L/QyP1cj356mqze37sfeTi71TrhUkGo7apV1lvQlV79N9ch77kJK+P43fsToqQl6hjswTANd0wjD1V84oiCkNlPFsA12PLoXOZjmh3PjzPsOKcMip6/+bUUXGlnTRkpJJfB4pTTFtFPnYLaD+FXHufTzEOKd/y7s6qK/6jD6w7dxNEEss/TsSiJu0ZZPUSzVcRwf09RX3MEQBBFBEGJZBm35FE3XW3JZLwxCRk5O0L+nh5/6fz6xLZYcltLWk+cTn/swuw4P8aO/epmxtyfRdEG+M0siE1+23oPv+tTLDUozFXRDp293N+/+mYfYdWTozstJuNodtD1SBQq3kVjc4u6jO/j+X71K+3X3s6+NlJJ61eGh995FbJu+Ga6XHekCWStG0W3QHlt99cDNVPVdEobJUHr1n+iEENz73v1k29M892cvcuHUONm2NDHboO5cfxtdFEa4VQev5pDpzTHw4E7qBZPXSlO4YUibFb/hwEoIQda08aKQ0WYVJwq5L9dFwnhnut9xA2zbJJOKLxRgbO366D0yhAwiLr54BhlFxHNL/8ySCQtd16hUmzQdH9/30XXtnXV7CWEkiaIIXddIp2Jk03EMU6fpeNfkJwR+wOiJCXr3dPOx/+X9FLpzN/TcN4uua9zzxCH2v2svZ149zxt/f5yLpyYoTpaIoqi1ZU/XQEIURSDBsAwS6Tj3vv8QBx/ex9CB/k0vIrVdqaZQyi1r/5FBXnr+NLNTlXWdVZidqpArJNl/+PYvqNIWS3BPWy/PTpzdtoHCdLPGwUI3Q6m1T/3uPNhP92A7P376Dd54/iT+bJ1mqUYsAiNmoi+U8pZSEnohgevjNz2iICKWiTHw4E66D/dTlB6vzU/hy4iCFVuXwNTSdApWjBm3wSulKY7mu4ktzCw0HI/u9gztuSSW2SqzHI+B0AR99w+jmToXXzxDdaJEsjOzZDOsmG0Qs9N4XkC96VFvuIszBQIwDI1UMk4ibi3uBAnCCE3XsMx3LpCVYo3Zi611+o/+s/fTtqr6EduDHbc48PBe9r9rD+XZKsWJeebG5ynPVnAdv9UkK26R68zS1punrSdPapngS7kzqEDhNtPWmeGR9+3nb/7sJdLZ+Lp8+neaHvWqw4d/9v7rtpm+XdzX0ccPpy5Q9z2S5vaaQfGjEInkoc6BG744J9IxHv+ZB7j//Qd5+q9f5pt/9gIyiHBKDUI/XKwloZs6Rswk25ensLOD/FA7ZsKiEfi8MTeLJ0Py5voECZfoQqNgxZh26pyozHEk14kQgqYbMNCVJ5WwyWcTTM9VyaZbSw1CCHqODJIoJBl94TSV8XniuSR2eunEPcsysCyDXCZBJKOF5mhicWnjckEQYhoa8ZhFGISMn51GN3Qe+emjPPLRo7dsxr8QglxHhlxHhp2Hh7Z6OLeeLVp6+KM/+iN+93d/l4mJCQ4ePMgf/MEf8J73vGfJ+/7Zn/0ZX/rSl3j11VdxXZeDBw/yhS98gQ996ENrOqcKFG5D97xrF+dPT/PWqxcYGO7AtG78x+x7AeMjcxy4Z4h7Htq1jqPc3nZl2hjOFDhTnmNXdnPK4K7WZKNKdyLDgfzNV/5LZRM88tQRXq9WSVkGmhPiNz1kJBGawExYxLKJKxo9SSk5WS1S8V3a7PiGrFXrQiNt2ow0K3TGEvTEUkgknYUUQggGe/OcvywpExYufIPtJDsyjL18nqljoziVJvFsHDO5dAMuIVixYBWA54ekYialiXlq5SZ9e7p57888xO571Dr9nW3zI4Wvf/3r/Nqv/Rp/9Ed/xKOPPsqXv/xlPvzhD/PWW28xODh4zf2fe+45PvjBD/I7v/M75HI5vvKVr/Cxj32MF154gXvvvXfV51WBwm3INA0+/LP3E/gBp46N0d1fILFE++DradRdJi8W2Xuwjw//7P0Y5tasTcqoiAwugoghjGHEGto03yhd03iibxfnKkXKnkN2iaZLW6HuezhhwBO9u4gZ6/M6tOeS9HRkuTg5z0D39ZcyptwGF5tV0qa1ocmeMd2gGQacqBYxfUEqbi+Ob2d/O8+/fA7XC7CvCoTNuMXQI3vID7YxfXyM+ZE5GvMNrKSFnY6hGct3Sb2cjCRe06M2WSbTkSE5nOThjx7lyGP7b9lZBOXW9u/+3b/jl37pl/jMZz4DwB/8wR/wt3/7t3zpS1/ii1/84jX3/4M/+IMr/v07v/M7fPOb3+Rb3/qWChQUSGXi/PQ/fpjv/uXLHHtlhIql09GTW1Wt+jCMmJko4Xsh9zy4kw/89H0kl5nC3UhSSiL3OSLnOyCLSEw0fSd68lMIvfv6B7hJhws9PNK9g++PvU3SsFasgLgZIikZrZW4v6Ofd3Wt31Sxrmncd1c/Zy7OEobRir8jUsrFLYyxNexuuFFZ06boNTnrlHjy4B46860dKbsG2+ntzDJdrNLXlbvmcUIIsgNtZPoLNIt1imenmDk1QWOuTrSw9VW3DHTTQCwmM0qiUBK4PjKMQAhCDQo72vnULz/JPQ/v3ba7GpQtsE4TCpVK5Yov27aNbV/7wc7zPF566SX+5b/8l1d8/cknn+T5559f1SmjKKJarVIoFNY0VBUo3MaS6Rgf/dS7GN7bwz987xijZ6YxbYNMPkk8YWFclr0cBCHNhkdlvo7vBrR3Z3n0/Qc5eN/QqoKLjSDDs0TNb4HQQN+DwCMKTkDjz9BTv4y4zpTxzRJC8NTAXs5UZhmtzTOc2doliIlGhfZ4ko/uOLDuQctdO7ooZBIUKw068ssX7qoEHjNug+Q6zWZcz6UiTbNhk7t39y7OBBiGztFDA/zF06/jej62tfR4hBAk2lIk2lJ0Hx6kOV/HKTVoFOvUpsq41WarvHGrKxamZZAbbCPZnsbKxplpuDz+3oM89L5Dm/J8lVuHkK3bzTweYGDgygTx3/zN3+QLX/jCNfefnZ0lDEO6uq5ccuzq6mJycnJV5/z93/996vU6P/dzP7emsapA4Tan6xqHHxhm1109nD4+zusvnmNmqsz8bBUZSi5lrQldEE/Y9A22c/iBYXbv792SWYTLSf8kUlbRjP0LX4mB3ocMzkI0CXrvho8ha8f56NAB/uTkTxZyA7am2NSc08AJAz4xfGhDxpBK2BzZ28f3XzxFWy657JLCtNvAi0IyxuZ9sha+JLQEsfSVwcC9BwY4fmaKk2enGB5ou+5ygmGbpLtzpC/bxigjiYyiVk6GriE0sXic0Yl5hnryvPfBrWkXrdwZRkdHyWTeSRJfajbhclf/nl/aJnw9X/va1/jCF77AN7/5TTo7O9c0RhUo3CGS6RhHHtzJ4QeGqZQaFGeqVMoNolCi6YJMNkGhI00ml9g2CVpShlxbPFQDItjEpk13F7r5+PBB/u8zrzPdrC0WZNos826TotvgI4N38fA6Ljlc7YGDg7xxeoLJ2Qq9HUtvrS15DroQm/Y74vkBOoJ0Js5ss8Ew70yZmobOBx+9i8mZMhPTFXpXKOO8HKEJhHZt7s18uVXp8X3v2ksmtXKJbEW5GZlM5opAYTnt7e3oun7N7MH09PQ1swxX+/rXv84v/dIv8Y1vfIMPfOADax6jKuF8hxFCkM0nGd7bzZEHdnLvu3Zx5IGdDO/tJptPbpsgAUAzd4GwWsmMUiJliAzHEHo/bEKOwiVCCN7TPcwndhyi4XuM1ysb2rr3cjPNOnNOnQ/17+VDA/s2NHmwLZvk/Q/uwfVD6s1rCzCFMqLsu1hLXFg3gpSSWsOjtyNLNhVnulq/5j69nVl+6r0H0TTBxHR5XX4u8+UG5ZrDEw/t4eCe7dO3QdlmNrl7pGVZHD16lKeffvqKrz/99NM88sgjyz7ua1/7Gr/4i7/In/7pn/KRj3zkhp6qChSUbUsY+9DsJyCqQXAKgjNoeg9a4uMIsbmTYUIInujbxSd3H0EAb5fncNdQ9nitgijkbGWOZuDxsaEDfHTHAfRNSKY8srePI3t6GZ8pX1OyuBkGeFGIucG5IZdU6y7phM1wbxsx02CsXFnyfnfv6+On33c3hqFxfqx4wy2lwyhidGKeesPlAw/v5bEH9myrwHmzeK7PzFiRmbEinrN0a3Jla3z+85/nv/yX/8J/+2//jePHj/Mv/sW/YGRkhF/+5V8G4Nd//df5hV/4hcX7f+1rX+MXfuEX+P3f/33e9a53MTk5yeTkJOVyeU3nVUsPyrYlhI4e/zjSOgzhRSCGMO9CaFtT9EkIwaPdO+hOpPnW+bc4UZqmzU7QHlvfmZh5t8lko8LOTBsfGzrA/nznpl2wdE3jAw/tY2KuwvmJeYZ784vnjqTctP4XjWarZPJwfxsx20RvCpxg+cDs8F19ZNIxvvv8SU5fmCGTilHIJTFWkYgbSUm50mSuVKe3M8v73rWXg3uubsd9+3MaLq89d4LXf3CC0kwFJGTb09z96F7uee+Bm+46qdy8n//5n2dubo5/82/+DRMTExw6dIhvf/vbDA21liQnJiYYGRlZvP+Xv/xlgiDgs5/9LJ/97GcXv/7pT3+ar371q6s+r5CbNYd6AyqVCtlslnK5vKo1HEXZLE7g88z4GZ4ZO0PFd2izExRiiesW71mOlJJ5t8mMUyeuGzzaM8yTA3tJm2uvf7EeRibm+frTr1CqNhjszqMJQcV3eW5mlKRhYm7g8kPD8fCDkD2DHfR35hBCcLFUZiCX5Vff8/CKj3Vcnx+9ep6Xjo0wV6pj6BqphE08bhGzjMXS1J4f0nQ86g2PpuuTS8c5tLeXxx7YdUfmJDh1l2/95+9x/MUzxFMxsgut5CvFGo1Kk733DfOx/+X9JJdpurVdbMY149I5vvQfvk08fuOlrZvNOr/yuZ+6Ja5vakZBUW5AzDD58OBdHMh38eL0KC/PjvF2aZa4YZK34yRWUXchlBEN36fsNan6Ljk7znt6hrm/o5892fYt/UQ72JPnZ99/hD///uucHy8y1J1HFxqaEFe1gV5HUlJrtro07u5vXwwSAIIoImZef0tmzDZ5/KE9PHB4iJNnp3jz7XGmZivMzddxPb91PAmmqZOImfR15zi4u4e7dnWRz9y5RZRe+NtXOf7jM/Tu6rqiVkQ8FcNzfE6+dJaObxd4/6eWXwu/06zX9shbgQoUFOUmDKXzDKXzvL9/N28UJ3lhaoTpZo2pZm1xmt7WjYVkIEGExA9DAhkhECQMk0IsyYcH7+JwWw8dm7yjYiU7+9r4uSfv4S+eeYOz43N05FNYmo4nI9Z7niMMIyp1B8s02DvUQW/Hld1PvTCkL7v6baHJuMV9Bwe47+AAruczO1+nWneJoghN00jETNryKZKqgBKNapM3nz9FupBcsqCUFTPJdWR464W3efBDR0jnVYOoO40KFBRlHeTtBI/17OTd3cPMOQ1mmjWmmlXG6hVKbhMvCgGJqRmkLZv+ZJaueIrOeIq2WHLLqz4uZ6Arzy9+7EGe+cnbvPjWCNKJ8PRw/d45pKTh+Dh+QHs2ya7+djJXrYVfWh3tTN1YEGVb5pLVG5WW6dE5yrNVeoaX31uf7chw8dQ4UyOzKlBYtEVdobaAChQUZR1pQtART9IRT3KAm2/atB2kkzE+9tghdg908J+f+TEvz05g+JBMWBj6jeUqRJGk6Xq4XohtGexdyEdYqgpo3fOImyZd6e0z23I7icKIKJJoKwSrmiaQsnVfZcGdEyeoQEFRlOsTQnBgZzefTT7C73znWapVh1rDQ0qJbRqYho5haMvnVUhJEEX4QYTnBURSkohZ9Pfn6CykSSWWX8yYrtXZ29FOX3Z7J3zdqrLtaRLpGLVyg0xh6WCsXm60khzbt6YyqbK1VKCgKMqq7eps47G7dvKT0Yu0WXGm5qqUqk0czydoRkjZat18KWC4tGwgAUPTMA2dQjZBV1uG9lwS01h5RsIPQ8JI8uBg/6Zsy7wTFbpz7Do8xGvPHSeVS6Jp15YInh0rcuBde+gc2F4t15XNoQIFRVFWTQjBg4N9vD4+gWHrHNjZTRRFNFyfRtOj4fh4fkAYSaSU6JqGYWgkYhaJmEkiZl03OLjcxVKF/lyGA11rq02vrJ4Qgnd9+B7Gz0wxcmKMrsH2xZoJzbrD9MgchZ4cD3/kvjuutsSKbqC64jWPv0WoQEFRlDXZ39nBQ0MDPHvmHCnLQtc0UnGbVHx990KUmw5CwE/t30time6QyvroGmznE7/yQf7uGz9i5NQE06NzSCkxbYMdB/t5/GcfonenCtbuVCpQUBRlTYQQPLVvD+fm5jlXLLGrLb/unzTdIGCiWuWJ3Ts51H17JIVudz3Dnfz8//ZRxk5PMTNWBKCtJ0f/np4tazW/ralkRkVRlOVl4zF+9vAB/o+XXuV8scSOQm7dggUvCDhXnOfu7i6euuvO7LewVTRNY2BvDwN7VTOs6xELt5t5/K1ChYmKotyQPR3tfOrew6RjNqdni/jhjTVjulzVcTlbnOdQdxf/+L4jpO2tKWGtKNe1yd0jt5IKFBRFuWEHujr59AP3sqOQ48xckWKjcUOtnsMo4sJ8iZl6g0eHh/inR+8hF1dNiBRlO1BLD4qi3JRdbQV++ZEH+d6pM/zg/AjTtVkKiQRtifh1W2M7QcB0tUbDD+jLpvnwXXu5p69HbYVUlG1EBQqKoty0pGXxsYN3caS3h1fHJ3j54jhn5loJcZauk7BMNNGq7hdEEXXPJ4wiTF2jL5vlXUP9HO7pJqtmEZRbhUpmVBRFWRshBEOFHEOFHE/sHub0bJGpao2RUpnJSpVISoSAtG1xsLuTvmyGnkyaXW0FzBssBa0oysZTgYKiKOsuE4txX3/v4r8jKQmjCCEEuhBqJ4Ny61MFlxRFUdaPJgSamjVQlFuS2vWgKIqiKMqy1IyCoiiKoqzVHbT0oGYUFEVRFEVZlgoUFEVRFEVZllp6UBRFUZS1UnUUFEVRFEVZjpAScRN5Bjfz2M2mlh4URVEURVmWChQURVEURVmWWnpQFEVRlLW6g7ZHqkBBURRFUW7ErXOtvykqUFAWhWFEreYQhhFRJNF1DcsySCQsVZtfURTlDrVhgcL58+f5t//23/L973+fyclJent7+Sf/5J/wG7/xG1iWtVGnVdbAdX1GRuaYna0yOVFmfHyeRsNDRhKJRAiBoWtk80n6+wt0dqTp6s7S05NTgYOiKHe4O2d/5IYFCidOnCCKIr785S+ze/du3nzzTf7ZP/tn1Ot1fu/3fm+jTquswuxslRMnxnnj9VFmZqqLswfxuEU8bqFrAoRASkkQhMxOV7g4MoeUEIuZDO1o5/DhAXbt7iIWM7f66SiKomy+OydO2LhA4amnnuKpp55a/PfOnTs5efIkX/rSl1SgsEXK5QY/+PtTvPXWGLWqQzJl09ubxzRX7uqXzSYAkFLSaHicPj3JqZMTdHRmePjh3Rw+Moiuqw00iqIot6NNzVEol8sUCoVlv++6Lq7rLv67UqlsxrBue1JKjh8f59m/O87EeIm29jTDOzvWvHwghCCZtEkmbXw/ZHa2yrf+8hXOnJnm8Sf2096e3qBnoCiKss2oXQ/r78yZM/zhH/4hv//7v7/sfb74xS/yW7/1W5s1pDtCs+nxve8e49VXL6AJwY7hjnX59G+aOj09OZpNj9dfH2V8fJ4n3neAQ4f6Vf6Coih3gDtn7WHNV4wvfOELCCFWvP3kJz+54jHj4+M89dRTfPKTn+Qzn/nMssf+9V//dcrl8uJtdHR07c9IWVSvu3zrL1/mxz8+Qz6fpK+/sO5LBPG4xfBwB42Gx1996xV+8uI55C0UKSuKoigrW/OMwuc+9zk+9alPrXifHTt2LP73+Pg4TzzxBA8//DB//Md/vOLjbNvGtu21DklZQrPZunAfO3aRvr7ChiYdapqgpyfH7GyV73znDYSAo/cPq5kFRVFuX3fOhMLaA4X29nba29tXdd+xsTGeeOIJjh49yle+8hU0TSW8bYYwjPjO377BsWNj9PcXsO3N2ZnQ3p5mZqbKd58+RioV4679vZtyXkVRlE0nuckchXUbyYbbsCv3+Pg4jz/+OAMDA/ze7/0eMzMzTE5OMjk5uVGnVBa8+cZFXnttlJ6e7KYFCZd0dKSJoohnnnmLcrmxqedWFEVR1t+GJTN+5zvf4fTp05w+fZr+/v4rvqfWsDdOsVjj2WdPYFk6icTWLON09+Q4f36W5547yUc+cg+appYgFEVRblUbNqPwi7/4i0gpl7wpGyOKJH/3zHFmZ6t0dWW3bBy6rtHVleG1Vy9w8sT4lo1DURRlw1zaHnkzt1uEShq4jYyNFTl5coKursyWf4pPpWJICS++eI4wjLZ0LIqiKMqNU4HCbeT48XEcJyCZ3B47Rzo60oyOznHxYnGrh6IoiqLcIBUo3Caq1SbH3hwjm41vm22J8biF74e8dWxsq4eiKIqyvtTSg3KrOX16mlKpQT6f2OqhXCGXTXD8+Di1mrPVQ1EURVk/KlBQbjWTkyWEYNvVqkhnYtRrDjMz1a0eiqIoinIDttdVRbkhUkrGLs4Tj1tbPZRrGIZOEErm5mpbPRRFURTlBmxq90hlY9RqDuVSg0Ri+wUKAJoG01OqE6iiKLeRO6h7pJpRuA2U5hs0HW9D+zncjFjMZHKytNXDUBRFUW6AmlG4DfhBSBjKde8MuV50XcN1/a0ehqIoyrq52QKCt1LxQRUo3AaiqPULu122RV5NCEEY3jp/FIqiKNelukcqtxJNE2hCLESo2y9YkFKi69tvXIqiKDfuzokUtudctbImpqmj6WLblkoOw2jTu1gqiqIo60PNKNwG8vkk8biF0/SxrO33I3WaPj29ua0ehqIoyvpRux6UW0kyaZPLJWk03a0eypIiKenszGz1MBRFUdaPXIfbLUIFCrcBIQT9/Xmc5vbbWeD7IYah01ZIbfVQFEVRlBuw/eaplRvS3Z1D0soH2E7bJKvVJqmUTXtHequHoiiKsn7U0oNyq9m1u5NcLkGp1NjqoVyhVGpw4EAfqVRsq4eiKIqyju6ctQcVKNwmUqkYhw71Uy41tk0hj0bDxbZNDhzo2+qhKIqiKDdIBQq3kf0HeonHLWq17ZHUODtbZXCwQF9/YauHoiiKsr7unAkFFSjcTnp78xw42Mf0dIUo2tqaCtWqg6ZpPPDgLjRNFVtSFOU2cylH4WZutwgVKNxGhBA89t676OrKMDlZ3rJxhGHE9HSZ++7bwd693Vs2DkVRFOXmqUDhNpPLJXjve/cTBBG1mrMlY5iYmKevL897Htu3bftPKIqi3IxLTaFu5narUIHCbejAwT7uuXeI6akKjrO5tRWmpsqYpsET7zuodjooinIbu3OSFFSgcBvSNMGTTx7i7sMDjI3N02x6m3Le6ekKYRjx5IfuVksOiqLc3u6cOEEVXLpd2bbJRz56D5omeO3VEdo70mQy8Q05VxRJJsbn0Q2Np546zJEjgxtyHkVRFGXzbetA4dIaTqVS2eKR3Loee+8uwOfVV0eYmoro6cmta+XGet1lerpCe3uaxx/fw67dBarV6rodX1EUZbUuXSs2Y/2/6Ta4mWmBpttcv8FssG0dKFy64AwMDGzxSBRFUZRbRbVaJZvNbsixLcuiu7ubf/Hv/9ebPlZ3dzeWZa3DqDaWkNs49TKKIsbHx0mn03dE9nylUmFgYIDR0VEyGdVtcTnqdVo99VqtnnqtVm+7vlZSSqrVKr29vWjaxqXgOY6D59187pdlWcRi2z/pe1vPKGiaRn9//1YPY9NlMplt9ce3XanXafXUa7V66rVave34Wm3UTMLlYrHYLXGBXy9q14OiKIqiKMtSgYKiKIqiKMtSgcI2Yts2v/mbv4lt21s9lG1NvU6rp16r1VOv1eqp1+rOsq2TGRVFURRF2VpqRkFRFEVRlGWpQEFRFEVRlGWpQEFRFEVRlGWpQEFRFEVRlGWpQGEbOn/+PL/0S7/E8PAw8XicXbt28Zu/+ZvrUgnsdvTbv/3bPPLIIyQSCXK53FYPZ1v5oz/6I4aHh4nFYhw9epS///u/3+ohbTvPPfccH/vYx+jt7UUIwV/8xV9s9ZC2pS9+8Ys88MADpNNpOjs7+cQnPsHJkye3eljKJlCBwjZ04sQJoijiy1/+MseOHePf//t/z3/6T/+Jf/Wv/tVWD21b8jyPT37yk/zKr/zKVg9lW/n617/Or/3ar/Ebv/EbvPLKK7znPe/hwx/+MCMjI1s9tG2lXq9z5MgR/sN/+A9bPZRt7dlnn+Wzn/0sP/rRj3j66acJgoAnn3ySer2+1UNTNpjaHnmL+N3f/V2+9KUvcfbs2a0eyrb11a9+lV/7tV+jVCpt9VC2hYceeoj77ruPL33pS4tf279/P5/4xCf44he/uIUj276EEPz5n/85n/jEJ7Z6KNvezMwMnZ2dPPvsszz22GNbPRxlA6kZhVtEuVymUChs9TCUW4Tnebz00ks8+eSTV3z9ySef5Pnnn9+iUSm3k3K5DKDel+4AKlC4BZw5c4Y//MM/5Jd/+Ze3eijKLWJ2dpYwDOnq6rri611dXUxOTm7RqJTbhZSSz3/+87z73e/m0KFDWz0cZYOpQGETfeELX0AIseLtJz/5yRWPGR8f56mnnuKTn/wkn/nMZ7Zo5JvvRl4r5VpXt2eXUt4RLduVjfW5z32O119/na997WtbPRRlE2zrNtO3m8997nN86lOfWvE+O3bsWPzv8fFxnnjiCR5++GH++I//eINHt72s9bVSrtTe3o6u69fMHkxPT18zy6Aoa/Grv/qr/OVf/iXPPfcc/f39Wz0cZROoQGETtbe3097evqr7jo2N8cQTT3D06FG+8pWvoGl31uTPWl4r5VqWZXH06FGefvpp/tE/+keLX3/66af5+Mc/voUjU25VUkp+9Vd/lT//8z/n7/7u7xgeHt7qISmbRAUK29D4+DiPP/44g4OD/N7v/R4zMzOL3+vu7t7CkW1PIyMjFItFRkZGCMOQV199FYDdu3eTSqW2dnBb6POf/zz/9J/+U+6///7FWamRkRGV63KVWq3G6dOnF/997tw5Xn31VQqFAoODg1s4su3ls5/9LH/6p3/KN7/5TdLp9OJsVTabJR6Pb/HolA0llW3nK1/5igSWvCnX+vSnP73ka/XMM89s9dC23H/8j/9RDg0NScuy5H333SefffbZrR7StvPMM88s+fvz6U9/equHtq0s9570la98ZauHpmwwVUdBURRFUZRl3VkL34qiKIqirIkKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWZYKFBRFURRFWdb/H8mBa/Y3RcfPAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rng = np.random.RandomState(0)\n", "x = rng.randn(100)\n", "y = rng.randn(100)\n", "colors = rng.rand(100)\n", "sizes = 1000 * rng.rand(100)\n", "\n", "plt.scatter(x, y, c=colors, s=sizes, alpha=0.5, cmap='viridis')\n", "plt.colorbar(); " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bi-dimensional arrays can be plot in different ways: we've already seen how to plot as images but we can also treat them as meshes. The following example shows how to plot using pcolormesh:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "delta = 0.025\n", "x = np.arange(-3.0, 3.0, delta)\n", "y = np.arange(-2.0, 2.0, delta)\n", "XX, YY = np.meshgrid(x, y)\n", "Z1 = np.exp(-XX**2 - YY**2)\n", "Z2 = np.exp(-(XX - 1)**2 - (YY - 1)**2)\n", "ZZ = (Z1 - Z2) * 2\n", "\n", "fig, ax = plt.subplots()\n", "c = ax.pcolormesh(XX, YY, ZZ, cmap='RdBu', vmin=-np.abs(ZZ).max(), vmax=np.abs(ZZ).max(),shading='auto')\n", "ax.set_title('pcolormesh')\n", "fig.colorbar(c, ax=ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "or to display only the level lines:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'contour plot')" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "c = ax.contour(XX, YY, ZZ)\n", "ax.clabel(c, inline=1, fontsize=8)\n", "ax.set_title('contour plot')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's get into the details of contour plotting by generating and plotting $Z = X^2 + Y^2$:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "xlist = np.linspace(-3.0, 3.0, 50)\n", "ylist = np.linspace(-3.0, 3.0, 50)\n", "X, Y = np.meshgrid(xlist, ylist)\n", "\n", "Z = np.sqrt(X**2 + Y**2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "we can plot the contours with default settings:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "cp = ax.contour(X, Y, Z)\n", "ax.clabel(cp, inline=True, fontsize=10)\n", "ax.set_title('Contour Plot')\n", "ax.set_xlabel('x (cm)')\n", "ax.set_ylabel('y (cm)')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "or fill the contour and apply some customization on colors and the number of levels that will be displayed in our picture:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "levels = [0.5, 1.0, 1.5, 2.5, 3.0]\n", "fig, ax = plt.subplots()\n", "cp = ax.contour(X, Y, Z, levels, colors='w')\n", "ax.clabel(cp, colors='black',inline=True, fontsize=10)\n", "\n", "cp = plt.contourf(X, Y, Z, levels, cmap='Reds')\n", "plt.colorbar(cp)\n", "\n", "ax.set_title('Contour Plot')\n", "ax.set_xlabel('x (cm)')\n", "ax.set_ylabel('y (cm)')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pictures can be saved with the savefig command that supports many possible file formats, such as png, pdf, svg, etc.:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "fig.savefig('contours.svg') " ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'eps': 'Encapsulated Postscript',\n", " 'jpg': 'Joint Photographic Experts Group',\n", " 'jpeg': 'Joint Photographic Experts Group',\n", " 'pdf': 'Portable Document Format',\n", " 'pgf': 'PGF code for LaTeX',\n", " 'png': 'Portable Network Graphics',\n", " 'ps': 'Postscript',\n", " 'raw': 'Raw RGBA bitmap',\n", " 'rgba': 'Raw RGBA bitmap',\n", " 'svg': 'Scalable Vector Graphics',\n", " 'svgz': 'Scalable Vector Graphics',\n", " 'tif': 'Tagged Image File Format',\n", " 'tiff': 'Tagged Image File Format'}" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.gcf().canvas.get_supported_filetypes()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, with matplotlib it is also possible to create animated plots, such as a scrolling ECG graph, but **this feature is not easily implemented in jupyter**. The following code simulates the continuous plotting of data from a temperature sensor at a 2Hz rate:" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "/* global mpl */\n", "window.mpl = {};\n", "\n", "mpl.get_websocket_type = function () {\n", " if (typeof WebSocket !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof MozWebSocket !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert(\n", " 'Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.'\n", " );\n", " }\n", "};\n", "\n", "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = this.ws.binaryType !== undefined;\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById('mpl-warnings');\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent =\n", " 'This browser does not support binary websocket messages. ' +\n", " 'Performance may be slow.';\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = document.createElement('div');\n", " this.root.setAttribute('style', 'display: inline-block');\n", " this._root_extra_style(this.root);\n", "\n", " parent_element.appendChild(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message('supports_binary', { value: fig.supports_binary });\n", " fig.send_message('send_image_mode', {});\n", " if (fig.ratio !== 1) {\n", " fig.send_message('set_device_pixel_ratio', {\n", " device_pixel_ratio: fig.ratio,\n", " });\n", " }\n", " fig.send_message('refresh', {});\n", " };\n", "\n", " this.imageObj.onload = function () {\n", " if (fig.image_mode === 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function () {\n", " fig.ws.close();\n", " };\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "};\n", "\n", "mpl.figure.prototype._init_header = function () {\n", " var titlebar = document.createElement('div');\n", " titlebar.classList =\n", " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", " var titletext = document.createElement('div');\n", " titletext.classList = 'ui-dialog-title';\n", " titletext.setAttribute(\n", " 'style',\n", " 'width: 100%; text-align: center; padding: 3px;'\n", " );\n", " titlebar.appendChild(titletext);\n", " this.root.appendChild(titlebar);\n", " this.header = titletext;\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._init_canvas = function () {\n", " var fig = this;\n", "\n", " var canvas_div = (this.canvas_div = document.createElement('div'));\n", " canvas_div.setAttribute(\n", " 'style',\n", " 'border: 1px solid #ddd;' +\n", " 'box-sizing: content-box;' +\n", " 'clear: both;' +\n", " 'min-height: 1px;' +\n", " 'min-width: 1px;' +\n", " 'outline: 0;' +\n", " 'overflow: hidden;' +\n", " 'position: relative;' +\n", " 'resize: both;'\n", " );\n", "\n", " function on_keyboard_event_closure(name) {\n", " return function (event) {\n", " return fig.key_event(event, name);\n", " };\n", " }\n", "\n", " canvas_div.addEventListener(\n", " 'keydown',\n", " on_keyboard_event_closure('key_press')\n", " );\n", " canvas_div.addEventListener(\n", " 'keyup',\n", " on_keyboard_event_closure('key_release')\n", " );\n", "\n", " this._canvas_extra_style(canvas_div);\n", " this.root.appendChild(canvas_div);\n", "\n", " var canvas = (this.canvas = document.createElement('canvas'));\n", " canvas.classList.add('mpl-canvas');\n", " canvas.setAttribute('style', 'box-sizing: content-box;');\n", "\n", " this.context = canvas.getContext('2d');\n", "\n", " var backingStore =\n", " this.context.backingStorePixelRatio ||\n", " this.context.webkitBackingStorePixelRatio ||\n", " this.context.mozBackingStorePixelRatio ||\n", " this.context.msBackingStorePixelRatio ||\n", " this.context.oBackingStorePixelRatio ||\n", " this.context.backingStorePixelRatio ||\n", " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", " ));\n", " rubberband_canvas.setAttribute(\n", " 'style',\n", " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", " if (this.ResizeObserver === undefined) {\n", " if (window.ResizeObserver !== undefined) {\n", " this.ResizeObserver = window.ResizeObserver;\n", " } else {\n", " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", " this.ResizeObserver = obs.ResizeObserver;\n", " }\n", " }\n", "\n", " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", " var width, height;\n", " if (entry.contentBoxSize) {\n", " if (entry.contentBoxSize instanceof Array) {\n", " // Chrome 84 implements new version of spec.\n", " width = entry.contentBoxSize[0].inlineSize;\n", " height = entry.contentBoxSize[0].blockSize;\n", " } else {\n", " // Firefox implements old version of spec.\n", " width = entry.contentBoxSize.inlineSize;\n", " height = entry.contentBoxSize.blockSize;\n", " }\n", " } else {\n", " // Chrome <84 implements even older version of spec.\n", " width = entry.contentRect.width;\n", " height = entry.contentRect.height;\n", " }\n", "\n", " // Keep the size of the canvas and rubber band canvas in sync with\n", " // the canvas container.\n", " if (entry.devicePixelContentBoxSize) {\n", " // Chrome 84 implements new version of spec.\n", " canvas.setAttribute(\n", " 'width',\n", " entry.devicePixelContentBoxSize[0].inlineSize\n", " );\n", " canvas.setAttribute(\n", " 'height',\n", " entry.devicePixelContentBoxSize[0].blockSize\n", " );\n", " } else {\n", " canvas.setAttribute('width', width * fig.ratio);\n", " canvas.setAttribute('height', height * fig.ratio);\n", " }\n", " canvas.setAttribute(\n", " 'style',\n", " 'width: ' + width + 'px; height: ' + height + 'px;'\n", " );\n", "\n", " rubberband_canvas.setAttribute('width', width);\n", " rubberband_canvas.setAttribute('height', height);\n", "\n", " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", " return fig.mouse_event(event, name);\n", " };\n", " }\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mousedown',\n", " on_mouse_event_closure('button_press')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'dblclick',\n", " on_mouse_event_closure('dblclick')\n", " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", " on_mouse_event_closure('motion_notify')\n", " );\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mouseenter',\n", " on_mouse_event_closure('figure_enter')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseleave',\n", " on_mouse_event_closure('figure_leave')\n", " );\n", "\n", " canvas_div.addEventListener('wheel', function (event) {\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " on_mouse_event_closure('scroll')(event);\n", " });\n", "\n", " canvas_div.appendChild(canvas);\n", " canvas_div.appendChild(rubberband_canvas);\n", "\n", " this.rubberband_context = rubberband_canvas.getContext('2d');\n", " this.rubberband_context.strokeStyle = '#000000';\n", "\n", " this._resize_canvas = function (width, height, forward) {\n", " if (forward) {\n", " canvas_div.style.width = width + 'px';\n", " canvas_div.style.height = height + 'px';\n", " }\n", " };\n", "\n", " // Disable right mouse context menu.\n", " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", " event.preventDefault();\n", " return false;\n", " });\n", "\n", " function set_focus() {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'mpl-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " continue;\n", " }\n", "\n", " var button = (fig.buttons[name] = document.createElement('button'));\n", " button.classList = 'mpl-widget';\n", " button.setAttribute('role', 'button');\n", " button.setAttribute('aria-disabled', 'false');\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", "\n", " var icon_img = document.createElement('img');\n", " icon_img.src = '_images/' + image + '.png';\n", " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", " icon_img.alt = tooltip;\n", " button.appendChild(icon_img);\n", "\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " var fmt_picker = document.createElement('select');\n", " fmt_picker.classList = 'mpl-widget';\n", " toolbar.appendChild(fmt_picker);\n", " this.format_dropdown = fmt_picker;\n", "\n", " for (var ind in mpl.extensions) {\n", " var fmt = mpl.extensions[ind];\n", " var option = document.createElement('option');\n", " option.selected = fmt === mpl.default_extension;\n", " option.innerHTML = fmt;\n", " fmt_picker.appendChild(option);\n", " }\n", "\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "};\n", "\n", "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", " // which will in turn request a refresh of the image.\n", " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", "};\n", "\n", "mpl.figure.prototype.send_message = function (type, properties) {\n", " properties['type'] = type;\n", " properties['figure_id'] = this.id;\n", " this.ws.send(JSON.stringify(properties));\n", "};\n", "\n", "mpl.figure.prototype.send_draw_message = function () {\n", " if (!this.waiting) {\n", " this.waiting = true;\n", " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " var format_dropdown = fig.format_dropdown;\n", " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", " fig.ondownload(fig, format);\n", "};\n", "\n", "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", " var size = msg['size'];\n", " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", " fig._resize_canvas(size[0], size[1], msg['forward']);\n", " fig.send_message('refresh', {});\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", " var x0 = msg['x0'] / fig.ratio;\n", " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", " var x1 = msg['x1'] / fig.ratio;\n", " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", " x0 = Math.floor(x0) + 0.5;\n", " y0 = Math.floor(y0) + 0.5;\n", " x1 = Math.floor(x1) + 0.5;\n", " y1 = Math.floor(y1) + 0.5;\n", " var min_x = Math.min(x0, x1);\n", " var min_y = Math.min(y0, y1);\n", " var width = Math.abs(x1 - x0);\n", " var height = Math.abs(y1 - y0);\n", "\n", " fig.rubberband_context.clearRect(\n", " 0,\n", " 0,\n", " fig.canvas.width / fig.ratio,\n", " fig.canvas.height / fig.ratio\n", " );\n", "\n", " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", "};\n", "\n", "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", " // Updates the figure title.\n", " fig.header.textContent = msg['label'];\n", "};\n", "\n", "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", "};\n", "\n", "mpl.figure.prototype.handle_message = function (fig, msg) {\n", " fig.message.textContent = msg['message'];\n", "};\n", "\n", "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", " // Request the server to send over a new figure.\n", " fig.send_draw_message();\n", "};\n", "\n", "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", " fig.image_mode = msg['mode'];\n", "};\n", "\n", "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", " for (var key in msg) {\n", " if (!(key in fig.buttons)) {\n", " continue;\n", " }\n", " fig.buttons[key].disabled = !msg[key];\n", " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", " if (msg['mode'] === 'PAN') {\n", " fig.buttons['Pan'].classList.add('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " } else if (msg['mode'] === 'ZOOM') {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.add('active');\n", " } else {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " }\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Called whenever the canvas gets updated.\n", " this.send_message('ack', {});\n", "};\n", "\n", "// A function to construct a web socket function for onmessage handling.\n", "// Called in the figure constructor.\n", "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", " var img = evt.data;\n", " if (img.type !== 'image/png') {\n", " /* FIXME: We get \"Resource interpreted as Image but\n", " * transferred with MIME type text/plain:\" errors on\n", " * Chrome. But how to set the MIME type? It doesn't seem\n", " * to be part of the websocket stream */\n", " img.type = 'image/png';\n", " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", " (window.URL || window.webkitURL).revokeObjectURL(\n", " fig.imageObj.src\n", " );\n", " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " } else if (\n", " typeof evt.data === 'string' &&\n", " evt.data.slice(0, 21) === 'data:image/png;base64'\n", " ) {\n", " fig.imageObj.src = evt.data;\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " }\n", "\n", " var msg = JSON.parse(evt.data);\n", " var msg_type = msg['type'];\n", "\n", " // Call the \"handle_{type}\" callback, which takes\n", " // the figure and JSON message as its only arguments.\n", " try {\n", " var callback = fig['handle_' + msg_type];\n", " } catch (e) {\n", " console.log(\n", " \"No handler for the '\" + msg_type + \"' message type: \",\n", " msg\n", " );\n", " return;\n", " }\n", "\n", " if (callback) {\n", " try {\n", " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", " callback(fig, msg);\n", " } catch (e) {\n", " console.log(\n", " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", " e,\n", " e.stack,\n", " msg\n", " );\n", " }\n", " }\n", " };\n", "};\n", "\n", "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", "mpl.findpos = function (e) {\n", " //this section is from http://www.quirksmode.org/js/events_properties.html\n", " var targ;\n", " if (!e) {\n", " e = window.event;\n", " }\n", " if (e.target) {\n", " targ = e.target;\n", " } else if (e.srcElement) {\n", " targ = e.srcElement;\n", " }\n", " if (targ.nodeType === 3) {\n", " // defeat Safari bug\n", " targ = targ.parentNode;\n", " }\n", "\n", " // pageX,Y are the mouse positions relative to the document\n", " var boundingRect = targ.getBoundingClientRect();\n", " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", "\n", " return { x: x, y: y };\n", "};\n", "\n", "/*\n", " * return a copy of an object with only non-object keys\n", " * we need this to avoid circular references\n", " * https://stackoverflow.com/a/24161582/3208463\n", " */\n", "function simpleKeys(original) {\n", " return Object.keys(original).reduce(function (obj, key) {\n", " if (typeof original[key] !== 'object') {\n", " obj[key] = original[key];\n", " }\n", " return obj;\n", " }, {});\n", "}\n", "\n", "mpl.figure.prototype.mouse_event = function (event, name) {\n", " var canvas_pos = mpl.findpos(event);\n", "\n", " if (name === 'button_press') {\n", " this.canvas.focus();\n", " this.canvas_div.focus();\n", " }\n", "\n", " var x = canvas_pos.x * this.ratio;\n", " var y = canvas_pos.y * this.ratio;\n", "\n", " this.send_message(name, {\n", " x: x,\n", " y: y,\n", " button: event.button,\n", " step: event.step,\n", " guiEvent: simpleKeys(event),\n", " });\n", "\n", " /* This prevents the web browser from automatically changing to\n", " * the text insertion cursor when the button is pressed. We want\n", " * to control all of the cursor setting manually through the\n", " * 'cursor' event from matplotlib */\n", " event.preventDefault();\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", " // Handle any extra behaviour associated with a key event\n", "};\n", "\n", "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", " if (event.key === this._key) {\n", " return;\n", " } else {\n", " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", " this._key = null;\n", " }\n", "\n", " var value = '';\n", " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", " if (name === 'download') {\n", " this.handle_save(this, null);\n", " } else {\n", " this.send_message('toolbar_button', { name: name });\n", " }\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", "\n", "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", "// prettier-ignore\n", "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", "\n", "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", "var comm_websocket_adapter = function (comm) {\n", " // Create a \"websocket\"-like object which calls the given IPython comm\n", " // object with the appropriate methods. Currently this is a non binary\n", " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", " ws.binaryType = comm.kernel.ws.binaryType;\n", " ws.readyState = comm.kernel.ws.readyState;\n", " function updateReadyState(_event) {\n", " if (comm.kernel.ws) {\n", " ws.readyState = comm.kernel.ws.readyState;\n", " } else {\n", " ws.readyState = 3; // Closed state.\n", " }\n", " }\n", " comm.kernel.ws.addEventListener('open', updateReadyState);\n", " comm.kernel.ws.addEventListener('close', updateReadyState);\n", " comm.kernel.ws.addEventListener('error', updateReadyState);\n", "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", " ws.send = function (m) {\n", " //console.log('sending', m);\n", " comm.send(m);\n", " };\n", " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", " var data = msg['content']['data'];\n", " if (data['blob'] !== undefined) {\n", " data = {\n", " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", " };\n", " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", "\n", "mpl.mpl_figure_comm = function (comm, msg) {\n", " // This is the function which gets called when the mpl process\n", " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", "\n", " var id = msg.content.data.id;\n", " // Get hold of the div created by the display call when the Comm\n", " // socket was opened in Python.\n", " var element = document.getElementById(id);\n", " var ws_proxy = comm_websocket_adapter(comm);\n", "\n", " function ondownload(figure, _format) {\n", " window.open(figure.canvas.toDataURL());\n", " }\n", "\n", " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", "\n", " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", " // web socket which is closed, not our websocket->open comm proxy.\n", " ws_proxy.onopen();\n", "\n", " fig.parent_element = element;\n", " fig.cell_info = mpl.find_output_cell(\"
\");\n", " if (!fig.cell_info) {\n", " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", " );\n", "};\n", "\n", "mpl.figure.prototype.handle_close = function (fig, msg) {\n", " var width = fig.canvas.width / fig.ratio;\n", " fig.cell_info[0].output_area.element.off(\n", " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", " var dataURL = fig.canvas.toDataURL();\n", " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", " // the notebook keyboard shortcuts fail.\n", " IPython.keyboard_manager.enable();\n", " fig.parent_element.innerHTML =\n", " '';\n", " fig.close_ws(fig, msg);\n", "};\n", "\n", "mpl.figure.prototype.close_ws = function (fig, msg) {\n", " fig.send_message('closing', msg);\n", " // fig.ws.close()\n", "};\n", "\n", "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", " // Turn the data on the canvas into data in the output cell.\n", " var width = this.canvas.width / this.ratio;\n", " var dataURL = this.canvas.toDataURL();\n", " this.cell_info[1]['text/html'] =\n", " '';\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Tell IPython that the notebook contents must change.\n", " IPython.notebook.set_dirty(true);\n", " this.send_message('ack', {});\n", " var fig = this;\n", " // Wait a second, then push the new image to the DOM so\n", " // that it is saved nicely (might be nice to debounce this).\n", " setTimeout(function () {\n", " fig.push_to_output();\n", " }, 1000);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'btn-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " var button;\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " continue;\n", " }\n", "\n", " button = fig.buttons[name] = document.createElement('button');\n", " button.classList = 'btn btn-default';\n", " button.href = '#';\n", " button.title = name;\n", " button.innerHTML = '';\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message pull-right';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "\n", " // Add the close button to the window.\n", " var buttongrp = document.createElement('div');\n", " buttongrp.classList = 'btn-group inline pull-right';\n", " button = document.createElement('button');\n", " button.classList = 'btn btn-mini btn-primary';\n", " button.href = '#';\n", " button.title = 'Stop Interaction';\n", " button.innerHTML = '';\n", " button.addEventListener('click', function (_evt) {\n", " fig.handle_close(fig, {});\n", " });\n", " button.addEventListener(\n", " 'mouseover',\n", " on_mouseover_closure('Stop Interaction')\n", " );\n", " buttongrp.appendChild(button);\n", " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", "};\n", "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", " if (event.target !== this) {\n", " // Ignore bubbled events from children.\n", " return;\n", " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", "mpl.figure.prototype._root_extra_style = function (el) {\n", " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (el) {\n", " // this is important to make the div 'focusable\n", " el.setAttribute('tabindex', 0);\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " } else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which === 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " fig.ondownload(fig, null);\n", "};\n", "\n", "mpl.find_output_cell = function (html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i = 0; i < ncells; i++) {\n", " var cell = cells[i];\n", " if (cell.cell_type === 'code') {\n", " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", " var data = cell.output_area.outputs[j];\n", " if (data.data) {\n", " // IPython >= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] === html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "};\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel !== null) {\n", " IPython.notebook.kernel.comm_manager.register_target(\n", " 'matplotlib',\n", " mpl.mpl_figure_comm\n", " );\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib notebook\n", "import datetime as dt\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from time import sleep\n", "\n", "# Create figure for plotting\n", "fig = plt.figure(figsize=(8,4))\n", "ax = fig.add_subplot(1, 1, 1)\n", "#plt.ion()\n", "\n", "fig.show()\n", "fig.canvas.draw()\n", "\n", "xs = []\n", "ys = []\n", "\n", "# simulate temperature read\n", "def read_temp():\n", " temp = 25.0 + np.random.randn()\n", " return temp\n", "\n", "for i in range(100):\n", " # Read temperature (Celsius)\n", " temp_c = round(read_temp(), 2)\n", "\n", " # Add x and y to lists\n", " xs.append(dt.datetime.now().strftime('%H:%M:%S.%f'))\n", " ys.append(temp_c)\n", "\n", " # Limit x and y lists to 20 items\n", " xs = xs[-20:]\n", " ys = ys[-20:]\n", "\n", " # Draw x and y lists\n", " ax.clear()\n", " ax.set_ylim([0,40])\n", " ax.plot(xs, ys)\n", " \n", " # Format plot\n", " plt.grid(linestyle=':')\n", " plt.xticks(rotation=45, ha='right')\n", " plt.subplots_adjust(bottom=0.30)\n", " plt.title('Temperature Monitor - Current value {:.2f}'.format(ys[-1]))\n", " plt.ylabel('Temperature (deg C)')\n", " fig.canvas.draw() \n", " sleep(0.5)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Matplotlib also supports the creation of complex 3D plots in a pretty simple way. This is the 3D version of the meshplot proposed before:" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "/* global mpl */\n", "window.mpl = {};\n", "\n", "mpl.get_websocket_type = function () {\n", " if (typeof WebSocket !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof MozWebSocket !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert(\n", " 'Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.'\n", " );\n", " }\n", "};\n", "\n", "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = this.ws.binaryType !== undefined;\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById('mpl-warnings');\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent =\n", " 'This browser does not support binary websocket messages. ' +\n", " 'Performance may be slow.';\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = document.createElement('div');\n", " this.root.setAttribute('style', 'display: inline-block');\n", " this._root_extra_style(this.root);\n", "\n", " parent_element.appendChild(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message('supports_binary', { value: fig.supports_binary });\n", " fig.send_message('send_image_mode', {});\n", " if (fig.ratio !== 1) {\n", " fig.send_message('set_device_pixel_ratio', {\n", " device_pixel_ratio: fig.ratio,\n", " });\n", " }\n", " fig.send_message('refresh', {});\n", " };\n", "\n", " this.imageObj.onload = function () {\n", " if (fig.image_mode === 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function () {\n", " fig.ws.close();\n", " };\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "};\n", "\n", "mpl.figure.prototype._init_header = function () {\n", " var titlebar = document.createElement('div');\n", " titlebar.classList =\n", " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", " var titletext = document.createElement('div');\n", " titletext.classList = 'ui-dialog-title';\n", " titletext.setAttribute(\n", " 'style',\n", " 'width: 100%; text-align: center; padding: 3px;'\n", " );\n", " titlebar.appendChild(titletext);\n", " this.root.appendChild(titlebar);\n", " this.header = titletext;\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._init_canvas = function () {\n", " var fig = this;\n", "\n", " var canvas_div = (this.canvas_div = document.createElement('div'));\n", " canvas_div.setAttribute(\n", " 'style',\n", " 'border: 1px solid #ddd;' +\n", " 'box-sizing: content-box;' +\n", " 'clear: both;' +\n", " 'min-height: 1px;' +\n", " 'min-width: 1px;' +\n", " 'outline: 0;' +\n", " 'overflow: hidden;' +\n", " 'position: relative;' +\n", " 'resize: both;'\n", " );\n", "\n", " function on_keyboard_event_closure(name) {\n", " return function (event) {\n", " return fig.key_event(event, name);\n", " };\n", " }\n", "\n", " canvas_div.addEventListener(\n", " 'keydown',\n", " on_keyboard_event_closure('key_press')\n", " );\n", " canvas_div.addEventListener(\n", " 'keyup',\n", " on_keyboard_event_closure('key_release')\n", " );\n", "\n", " this._canvas_extra_style(canvas_div);\n", " this.root.appendChild(canvas_div);\n", "\n", " var canvas = (this.canvas = document.createElement('canvas'));\n", " canvas.classList.add('mpl-canvas');\n", " canvas.setAttribute('style', 'box-sizing: content-box;');\n", "\n", " this.context = canvas.getContext('2d');\n", "\n", " var backingStore =\n", " this.context.backingStorePixelRatio ||\n", " this.context.webkitBackingStorePixelRatio ||\n", " this.context.mozBackingStorePixelRatio ||\n", " this.context.msBackingStorePixelRatio ||\n", " this.context.oBackingStorePixelRatio ||\n", " this.context.backingStorePixelRatio ||\n", " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", " ));\n", " rubberband_canvas.setAttribute(\n", " 'style',\n", " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", " if (this.ResizeObserver === undefined) {\n", " if (window.ResizeObserver !== undefined) {\n", " this.ResizeObserver = window.ResizeObserver;\n", " } else {\n", " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", " this.ResizeObserver = obs.ResizeObserver;\n", " }\n", " }\n", "\n", " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", " var width, height;\n", " if (entry.contentBoxSize) {\n", " if (entry.contentBoxSize instanceof Array) {\n", " // Chrome 84 implements new version of spec.\n", " width = entry.contentBoxSize[0].inlineSize;\n", " height = entry.contentBoxSize[0].blockSize;\n", " } else {\n", " // Firefox implements old version of spec.\n", " width = entry.contentBoxSize.inlineSize;\n", " height = entry.contentBoxSize.blockSize;\n", " }\n", " } else {\n", " // Chrome <84 implements even older version of spec.\n", " width = entry.contentRect.width;\n", " height = entry.contentRect.height;\n", " }\n", "\n", " // Keep the size of the canvas and rubber band canvas in sync with\n", " // the canvas container.\n", " if (entry.devicePixelContentBoxSize) {\n", " // Chrome 84 implements new version of spec.\n", " canvas.setAttribute(\n", " 'width',\n", " entry.devicePixelContentBoxSize[0].inlineSize\n", " );\n", " canvas.setAttribute(\n", " 'height',\n", " entry.devicePixelContentBoxSize[0].blockSize\n", " );\n", " } else {\n", " canvas.setAttribute('width', width * fig.ratio);\n", " canvas.setAttribute('height', height * fig.ratio);\n", " }\n", " canvas.setAttribute(\n", " 'style',\n", " 'width: ' + width + 'px; height: ' + height + 'px;'\n", " );\n", "\n", " rubberband_canvas.setAttribute('width', width);\n", " rubberband_canvas.setAttribute('height', height);\n", "\n", " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", " return fig.mouse_event(event, name);\n", " };\n", " }\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mousedown',\n", " on_mouse_event_closure('button_press')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'dblclick',\n", " on_mouse_event_closure('dblclick')\n", " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", " on_mouse_event_closure('motion_notify')\n", " );\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mouseenter',\n", " on_mouse_event_closure('figure_enter')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseleave',\n", " on_mouse_event_closure('figure_leave')\n", " );\n", "\n", " canvas_div.addEventListener('wheel', function (event) {\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " on_mouse_event_closure('scroll')(event);\n", " });\n", "\n", " canvas_div.appendChild(canvas);\n", " canvas_div.appendChild(rubberband_canvas);\n", "\n", " this.rubberband_context = rubberband_canvas.getContext('2d');\n", " this.rubberband_context.strokeStyle = '#000000';\n", "\n", " this._resize_canvas = function (width, height, forward) {\n", " if (forward) {\n", " canvas_div.style.width = width + 'px';\n", " canvas_div.style.height = height + 'px';\n", " }\n", " };\n", "\n", " // Disable right mouse context menu.\n", " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", " event.preventDefault();\n", " return false;\n", " });\n", "\n", " function set_focus() {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'mpl-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " continue;\n", " }\n", "\n", " var button = (fig.buttons[name] = document.createElement('button'));\n", " button.classList = 'mpl-widget';\n", " button.setAttribute('role', 'button');\n", " button.setAttribute('aria-disabled', 'false');\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", "\n", " var icon_img = document.createElement('img');\n", " icon_img.src = '_images/' + image + '.png';\n", " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", " icon_img.alt = tooltip;\n", " button.appendChild(icon_img);\n", "\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " var fmt_picker = document.createElement('select');\n", " fmt_picker.classList = 'mpl-widget';\n", " toolbar.appendChild(fmt_picker);\n", " this.format_dropdown = fmt_picker;\n", "\n", " for (var ind in mpl.extensions) {\n", " var fmt = mpl.extensions[ind];\n", " var option = document.createElement('option');\n", " option.selected = fmt === mpl.default_extension;\n", " option.innerHTML = fmt;\n", " fmt_picker.appendChild(option);\n", " }\n", "\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "};\n", "\n", "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", " // which will in turn request a refresh of the image.\n", " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", "};\n", "\n", "mpl.figure.prototype.send_message = function (type, properties) {\n", " properties['type'] = type;\n", " properties['figure_id'] = this.id;\n", " this.ws.send(JSON.stringify(properties));\n", "};\n", "\n", "mpl.figure.prototype.send_draw_message = function () {\n", " if (!this.waiting) {\n", " this.waiting = true;\n", " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " var format_dropdown = fig.format_dropdown;\n", " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", " fig.ondownload(fig, format);\n", "};\n", "\n", "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", " var size = msg['size'];\n", " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", " fig._resize_canvas(size[0], size[1], msg['forward']);\n", " fig.send_message('refresh', {});\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", " var x0 = msg['x0'] / fig.ratio;\n", " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", " var x1 = msg['x1'] / fig.ratio;\n", " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", " x0 = Math.floor(x0) + 0.5;\n", " y0 = Math.floor(y0) + 0.5;\n", " x1 = Math.floor(x1) + 0.5;\n", " y1 = Math.floor(y1) + 0.5;\n", " var min_x = Math.min(x0, x1);\n", " var min_y = Math.min(y0, y1);\n", " var width = Math.abs(x1 - x0);\n", " var height = Math.abs(y1 - y0);\n", "\n", " fig.rubberband_context.clearRect(\n", " 0,\n", " 0,\n", " fig.canvas.width / fig.ratio,\n", " fig.canvas.height / fig.ratio\n", " );\n", "\n", " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", "};\n", "\n", "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", " // Updates the figure title.\n", " fig.header.textContent = msg['label'];\n", "};\n", "\n", "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", "};\n", "\n", "mpl.figure.prototype.handle_message = function (fig, msg) {\n", " fig.message.textContent = msg['message'];\n", "};\n", "\n", "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", " // Request the server to send over a new figure.\n", " fig.send_draw_message();\n", "};\n", "\n", "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", " fig.image_mode = msg['mode'];\n", "};\n", "\n", "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", " for (var key in msg) {\n", " if (!(key in fig.buttons)) {\n", " continue;\n", " }\n", " fig.buttons[key].disabled = !msg[key];\n", " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", " if (msg['mode'] === 'PAN') {\n", " fig.buttons['Pan'].classList.add('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " } else if (msg['mode'] === 'ZOOM') {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.add('active');\n", " } else {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " }\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Called whenever the canvas gets updated.\n", " this.send_message('ack', {});\n", "};\n", "\n", "// A function to construct a web socket function for onmessage handling.\n", "// Called in the figure constructor.\n", "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", " var img = evt.data;\n", " if (img.type !== 'image/png') {\n", " /* FIXME: We get \"Resource interpreted as Image but\n", " * transferred with MIME type text/plain:\" errors on\n", " * Chrome. But how to set the MIME type? It doesn't seem\n", " * to be part of the websocket stream */\n", " img.type = 'image/png';\n", " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", " (window.URL || window.webkitURL).revokeObjectURL(\n", " fig.imageObj.src\n", " );\n", " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " } else if (\n", " typeof evt.data === 'string' &&\n", " evt.data.slice(0, 21) === 'data:image/png;base64'\n", " ) {\n", " fig.imageObj.src = evt.data;\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " }\n", "\n", " var msg = JSON.parse(evt.data);\n", " var msg_type = msg['type'];\n", "\n", " // Call the \"handle_{type}\" callback, which takes\n", " // the figure and JSON message as its only arguments.\n", " try {\n", " var callback = fig['handle_' + msg_type];\n", " } catch (e) {\n", " console.log(\n", " \"No handler for the '\" + msg_type + \"' message type: \",\n", " msg\n", " );\n", " return;\n", " }\n", "\n", " if (callback) {\n", " try {\n", " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", " callback(fig, msg);\n", " } catch (e) {\n", " console.log(\n", " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", " e,\n", " e.stack,\n", " msg\n", " );\n", " }\n", " }\n", " };\n", "};\n", "\n", "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", "mpl.findpos = function (e) {\n", " //this section is from http://www.quirksmode.org/js/events_properties.html\n", " var targ;\n", " if (!e) {\n", " e = window.event;\n", " }\n", " if (e.target) {\n", " targ = e.target;\n", " } else if (e.srcElement) {\n", " targ = e.srcElement;\n", " }\n", " if (targ.nodeType === 3) {\n", " // defeat Safari bug\n", " targ = targ.parentNode;\n", " }\n", "\n", " // pageX,Y are the mouse positions relative to the document\n", " var boundingRect = targ.getBoundingClientRect();\n", " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", "\n", " return { x: x, y: y };\n", "};\n", "\n", "/*\n", " * return a copy of an object with only non-object keys\n", " * we need this to avoid circular references\n", " * https://stackoverflow.com/a/24161582/3208463\n", " */\n", "function simpleKeys(original) {\n", " return Object.keys(original).reduce(function (obj, key) {\n", " if (typeof original[key] !== 'object') {\n", " obj[key] = original[key];\n", " }\n", " return obj;\n", " }, {});\n", "}\n", "\n", "mpl.figure.prototype.mouse_event = function (event, name) {\n", " var canvas_pos = mpl.findpos(event);\n", "\n", " if (name === 'button_press') {\n", " this.canvas.focus();\n", " this.canvas_div.focus();\n", " }\n", "\n", " var x = canvas_pos.x * this.ratio;\n", " var y = canvas_pos.y * this.ratio;\n", "\n", " this.send_message(name, {\n", " x: x,\n", " y: y,\n", " button: event.button,\n", " step: event.step,\n", " guiEvent: simpleKeys(event),\n", " });\n", "\n", " /* This prevents the web browser from automatically changing to\n", " * the text insertion cursor when the button is pressed. We want\n", " * to control all of the cursor setting manually through the\n", " * 'cursor' event from matplotlib */\n", " event.preventDefault();\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", " // Handle any extra behaviour associated with a key event\n", "};\n", "\n", "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", " if (event.key === this._key) {\n", " return;\n", " } else {\n", " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", " this._key = null;\n", " }\n", "\n", " var value = '';\n", " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", " if (name === 'download') {\n", " this.handle_save(this, null);\n", " } else {\n", " this.send_message('toolbar_button', { name: name });\n", " }\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", "\n", "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", "// prettier-ignore\n", "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", "\n", "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", "var comm_websocket_adapter = function (comm) {\n", " // Create a \"websocket\"-like object which calls the given IPython comm\n", " // object with the appropriate methods. Currently this is a non binary\n", " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", " ws.binaryType = comm.kernel.ws.binaryType;\n", " ws.readyState = comm.kernel.ws.readyState;\n", " function updateReadyState(_event) {\n", " if (comm.kernel.ws) {\n", " ws.readyState = comm.kernel.ws.readyState;\n", " } else {\n", " ws.readyState = 3; // Closed state.\n", " }\n", " }\n", " comm.kernel.ws.addEventListener('open', updateReadyState);\n", " comm.kernel.ws.addEventListener('close', updateReadyState);\n", " comm.kernel.ws.addEventListener('error', updateReadyState);\n", "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", " ws.send = function (m) {\n", " //console.log('sending', m);\n", " comm.send(m);\n", " };\n", " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", " var data = msg['content']['data'];\n", " if (data['blob'] !== undefined) {\n", " data = {\n", " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", " };\n", " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", "\n", "mpl.mpl_figure_comm = function (comm, msg) {\n", " // This is the function which gets called when the mpl process\n", " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", "\n", " var id = msg.content.data.id;\n", " // Get hold of the div created by the display call when the Comm\n", " // socket was opened in Python.\n", " var element = document.getElementById(id);\n", " var ws_proxy = comm_websocket_adapter(comm);\n", "\n", " function ondownload(figure, _format) {\n", " window.open(figure.canvas.toDataURL());\n", " }\n", "\n", " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", "\n", " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", " // web socket which is closed, not our websocket->open comm proxy.\n", " ws_proxy.onopen();\n", "\n", " fig.parent_element = element;\n", " fig.cell_info = mpl.find_output_cell(\"
\");\n", " if (!fig.cell_info) {\n", " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", " );\n", "};\n", "\n", "mpl.figure.prototype.handle_close = function (fig, msg) {\n", " var width = fig.canvas.width / fig.ratio;\n", " fig.cell_info[0].output_area.element.off(\n", " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", " var dataURL = fig.canvas.toDataURL();\n", " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", " // the notebook keyboard shortcuts fail.\n", " IPython.keyboard_manager.enable();\n", " fig.parent_element.innerHTML =\n", " '';\n", " fig.close_ws(fig, msg);\n", "};\n", "\n", "mpl.figure.prototype.close_ws = function (fig, msg) {\n", " fig.send_message('closing', msg);\n", " // fig.ws.close()\n", "};\n", "\n", "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", " // Turn the data on the canvas into data in the output cell.\n", " var width = this.canvas.width / this.ratio;\n", " var dataURL = this.canvas.toDataURL();\n", " this.cell_info[1]['text/html'] =\n", " '';\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Tell IPython that the notebook contents must change.\n", " IPython.notebook.set_dirty(true);\n", " this.send_message('ack', {});\n", " var fig = this;\n", " // Wait a second, then push the new image to the DOM so\n", " // that it is saved nicely (might be nice to debounce this).\n", " setTimeout(function () {\n", " fig.push_to_output();\n", " }, 1000);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'btn-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " var button;\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " continue;\n", " }\n", "\n", " button = fig.buttons[name] = document.createElement('button');\n", " button.classList = 'btn btn-default';\n", " button.href = '#';\n", " button.title = name;\n", " button.innerHTML = '';\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message pull-right';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "\n", " // Add the close button to the window.\n", " var buttongrp = document.createElement('div');\n", " buttongrp.classList = 'btn-group inline pull-right';\n", " button = document.createElement('button');\n", " button.classList = 'btn btn-mini btn-primary';\n", " button.href = '#';\n", " button.title = 'Stop Interaction';\n", " button.innerHTML = '';\n", " button.addEventListener('click', function (_evt) {\n", " fig.handle_close(fig, {});\n", " });\n", " button.addEventListener(\n", " 'mouseover',\n", " on_mouseover_closure('Stop Interaction')\n", " );\n", " buttongrp.appendChild(button);\n", " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", "};\n", "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", " if (event.target !== this) {\n", " // Ignore bubbled events from children.\n", " return;\n", " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", "mpl.figure.prototype._root_extra_style = function (el) {\n", " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (el) {\n", " // this is important to make the div 'focusable\n", " el.setAttribute('tabindex', 0);\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " } else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which === 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " fig.ondownload(fig, null);\n", "};\n", "\n", "mpl.find_output_cell = function (html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i = 0; i < ncells; i++) {\n", " var cell = cells[i];\n", " if (cell.cell_type === 'code') {\n", " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", " var data = cell.output_area.outputs[j];\n", " if (data.data) {\n", " // IPython >= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] === html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "};\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel !== null) {\n", " IPython.notebook.kernel.comm_manager.register_target(\n", " 'matplotlib',\n", " mpl.mpl_figure_comm\n", " );\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from mpl_toolkits.mplot3d import Axes3D\n", "\n", "fig = plt.figure(figsize=(4,4))\n", "ax = Axes3D(fig,auto_add_to_figure=False)\n", "fig.add_axes(ax)\n", "\n", "ax.plot_surface(XX, YY, ZZ, rstride=1, cstride=1, cmap=plt.cm.hot)\n", "ax.contourf(XX, YY, ZZ, zdir='z', offset=-2, cmap=plt.cm.hot)\n", "ax.set_zlim(-2, 2)\n", "ax.view_init(elev=20., azim=-30)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using Axes3D, it's also possible to display tri-dimensional scatter plots. These are randomly generated data whose color and size can be associated to significant data features:" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "/* global mpl */\n", "window.mpl = {};\n", "\n", "mpl.get_websocket_type = function () {\n", " if (typeof WebSocket !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof MozWebSocket !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert(\n", " 'Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.'\n", " );\n", " }\n", "};\n", "\n", "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = this.ws.binaryType !== undefined;\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById('mpl-warnings');\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent =\n", " 'This browser does not support binary websocket messages. ' +\n", " 'Performance may be slow.';\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = document.createElement('div');\n", " this.root.setAttribute('style', 'display: inline-block');\n", " this._root_extra_style(this.root);\n", "\n", " parent_element.appendChild(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message('supports_binary', { value: fig.supports_binary });\n", " fig.send_message('send_image_mode', {});\n", " if (fig.ratio !== 1) {\n", " fig.send_message('set_device_pixel_ratio', {\n", " device_pixel_ratio: fig.ratio,\n", " });\n", " }\n", " fig.send_message('refresh', {});\n", " };\n", "\n", " this.imageObj.onload = function () {\n", " if (fig.image_mode === 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function () {\n", " fig.ws.close();\n", " };\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "};\n", "\n", "mpl.figure.prototype._init_header = function () {\n", " var titlebar = document.createElement('div');\n", " titlebar.classList =\n", " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", " var titletext = document.createElement('div');\n", " titletext.classList = 'ui-dialog-title';\n", " titletext.setAttribute(\n", " 'style',\n", " 'width: 100%; text-align: center; padding: 3px;'\n", " );\n", " titlebar.appendChild(titletext);\n", " this.root.appendChild(titlebar);\n", " this.header = titletext;\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._init_canvas = function () {\n", " var fig = this;\n", "\n", " var canvas_div = (this.canvas_div = document.createElement('div'));\n", " canvas_div.setAttribute(\n", " 'style',\n", " 'border: 1px solid #ddd;' +\n", " 'box-sizing: content-box;' +\n", " 'clear: both;' +\n", " 'min-height: 1px;' +\n", " 'min-width: 1px;' +\n", " 'outline: 0;' +\n", " 'overflow: hidden;' +\n", " 'position: relative;' +\n", " 'resize: both;'\n", " );\n", "\n", " function on_keyboard_event_closure(name) {\n", " return function (event) {\n", " return fig.key_event(event, name);\n", " };\n", " }\n", "\n", " canvas_div.addEventListener(\n", " 'keydown',\n", " on_keyboard_event_closure('key_press')\n", " );\n", " canvas_div.addEventListener(\n", " 'keyup',\n", " on_keyboard_event_closure('key_release')\n", " );\n", "\n", " this._canvas_extra_style(canvas_div);\n", " this.root.appendChild(canvas_div);\n", "\n", " var canvas = (this.canvas = document.createElement('canvas'));\n", " canvas.classList.add('mpl-canvas');\n", " canvas.setAttribute('style', 'box-sizing: content-box;');\n", "\n", " this.context = canvas.getContext('2d');\n", "\n", " var backingStore =\n", " this.context.backingStorePixelRatio ||\n", " this.context.webkitBackingStorePixelRatio ||\n", " this.context.mozBackingStorePixelRatio ||\n", " this.context.msBackingStorePixelRatio ||\n", " this.context.oBackingStorePixelRatio ||\n", " this.context.backingStorePixelRatio ||\n", " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", " ));\n", " rubberband_canvas.setAttribute(\n", " 'style',\n", " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", " if (this.ResizeObserver === undefined) {\n", " if (window.ResizeObserver !== undefined) {\n", " this.ResizeObserver = window.ResizeObserver;\n", " } else {\n", " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", " this.ResizeObserver = obs.ResizeObserver;\n", " }\n", " }\n", "\n", " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", " var width, height;\n", " if (entry.contentBoxSize) {\n", " if (entry.contentBoxSize instanceof Array) {\n", " // Chrome 84 implements new version of spec.\n", " width = entry.contentBoxSize[0].inlineSize;\n", " height = entry.contentBoxSize[0].blockSize;\n", " } else {\n", " // Firefox implements old version of spec.\n", " width = entry.contentBoxSize.inlineSize;\n", " height = entry.contentBoxSize.blockSize;\n", " }\n", " } else {\n", " // Chrome <84 implements even older version of spec.\n", " width = entry.contentRect.width;\n", " height = entry.contentRect.height;\n", " }\n", "\n", " // Keep the size of the canvas and rubber band canvas in sync with\n", " // the canvas container.\n", " if (entry.devicePixelContentBoxSize) {\n", " // Chrome 84 implements new version of spec.\n", " canvas.setAttribute(\n", " 'width',\n", " entry.devicePixelContentBoxSize[0].inlineSize\n", " );\n", " canvas.setAttribute(\n", " 'height',\n", " entry.devicePixelContentBoxSize[0].blockSize\n", " );\n", " } else {\n", " canvas.setAttribute('width', width * fig.ratio);\n", " canvas.setAttribute('height', height * fig.ratio);\n", " }\n", " canvas.setAttribute(\n", " 'style',\n", " 'width: ' + width + 'px; height: ' + height + 'px;'\n", " );\n", "\n", " rubberband_canvas.setAttribute('width', width);\n", " rubberband_canvas.setAttribute('height', height);\n", "\n", " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", " return fig.mouse_event(event, name);\n", " };\n", " }\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mousedown',\n", " on_mouse_event_closure('button_press')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'dblclick',\n", " on_mouse_event_closure('dblclick')\n", " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", " on_mouse_event_closure('motion_notify')\n", " );\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mouseenter',\n", " on_mouse_event_closure('figure_enter')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseleave',\n", " on_mouse_event_closure('figure_leave')\n", " );\n", "\n", " canvas_div.addEventListener('wheel', function (event) {\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " on_mouse_event_closure('scroll')(event);\n", " });\n", "\n", " canvas_div.appendChild(canvas);\n", " canvas_div.appendChild(rubberband_canvas);\n", "\n", " this.rubberband_context = rubberband_canvas.getContext('2d');\n", " this.rubberband_context.strokeStyle = '#000000';\n", "\n", " this._resize_canvas = function (width, height, forward) {\n", " if (forward) {\n", " canvas_div.style.width = width + 'px';\n", " canvas_div.style.height = height + 'px';\n", " }\n", " };\n", "\n", " // Disable right mouse context menu.\n", " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", " event.preventDefault();\n", " return false;\n", " });\n", "\n", " function set_focus() {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'mpl-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " continue;\n", " }\n", "\n", " var button = (fig.buttons[name] = document.createElement('button'));\n", " button.classList = 'mpl-widget';\n", " button.setAttribute('role', 'button');\n", " button.setAttribute('aria-disabled', 'false');\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", "\n", " var icon_img = document.createElement('img');\n", " icon_img.src = '_images/' + image + '.png';\n", " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", " icon_img.alt = tooltip;\n", " button.appendChild(icon_img);\n", "\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " var fmt_picker = document.createElement('select');\n", " fmt_picker.classList = 'mpl-widget';\n", " toolbar.appendChild(fmt_picker);\n", " this.format_dropdown = fmt_picker;\n", "\n", " for (var ind in mpl.extensions) {\n", " var fmt = mpl.extensions[ind];\n", " var option = document.createElement('option');\n", " option.selected = fmt === mpl.default_extension;\n", " option.innerHTML = fmt;\n", " fmt_picker.appendChild(option);\n", " }\n", "\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "};\n", "\n", "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", " // which will in turn request a refresh of the image.\n", " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", "};\n", "\n", "mpl.figure.prototype.send_message = function (type, properties) {\n", " properties['type'] = type;\n", " properties['figure_id'] = this.id;\n", " this.ws.send(JSON.stringify(properties));\n", "};\n", "\n", "mpl.figure.prototype.send_draw_message = function () {\n", " if (!this.waiting) {\n", " this.waiting = true;\n", " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " var format_dropdown = fig.format_dropdown;\n", " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", " fig.ondownload(fig, format);\n", "};\n", "\n", "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", " var size = msg['size'];\n", " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", " fig._resize_canvas(size[0], size[1], msg['forward']);\n", " fig.send_message('refresh', {});\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", " var x0 = msg['x0'] / fig.ratio;\n", " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", " var x1 = msg['x1'] / fig.ratio;\n", " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", " x0 = Math.floor(x0) + 0.5;\n", " y0 = Math.floor(y0) + 0.5;\n", " x1 = Math.floor(x1) + 0.5;\n", " y1 = Math.floor(y1) + 0.5;\n", " var min_x = Math.min(x0, x1);\n", " var min_y = Math.min(y0, y1);\n", " var width = Math.abs(x1 - x0);\n", " var height = Math.abs(y1 - y0);\n", "\n", " fig.rubberband_context.clearRect(\n", " 0,\n", " 0,\n", " fig.canvas.width / fig.ratio,\n", " fig.canvas.height / fig.ratio\n", " );\n", "\n", " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", "};\n", "\n", "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", " // Updates the figure title.\n", " fig.header.textContent = msg['label'];\n", "};\n", "\n", "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", "};\n", "\n", "mpl.figure.prototype.handle_message = function (fig, msg) {\n", " fig.message.textContent = msg['message'];\n", "};\n", "\n", "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", " // Request the server to send over a new figure.\n", " fig.send_draw_message();\n", "};\n", "\n", "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", " fig.image_mode = msg['mode'];\n", "};\n", "\n", "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", " for (var key in msg) {\n", " if (!(key in fig.buttons)) {\n", " continue;\n", " }\n", " fig.buttons[key].disabled = !msg[key];\n", " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", " if (msg['mode'] === 'PAN') {\n", " fig.buttons['Pan'].classList.add('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " } else if (msg['mode'] === 'ZOOM') {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.add('active');\n", " } else {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " }\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Called whenever the canvas gets updated.\n", " this.send_message('ack', {});\n", "};\n", "\n", "// A function to construct a web socket function for onmessage handling.\n", "// Called in the figure constructor.\n", "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", " var img = evt.data;\n", " if (img.type !== 'image/png') {\n", " /* FIXME: We get \"Resource interpreted as Image but\n", " * transferred with MIME type text/plain:\" errors on\n", " * Chrome. But how to set the MIME type? It doesn't seem\n", " * to be part of the websocket stream */\n", " img.type = 'image/png';\n", " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", " (window.URL || window.webkitURL).revokeObjectURL(\n", " fig.imageObj.src\n", " );\n", " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " } else if (\n", " typeof evt.data === 'string' &&\n", " evt.data.slice(0, 21) === 'data:image/png;base64'\n", " ) {\n", " fig.imageObj.src = evt.data;\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " }\n", "\n", " var msg = JSON.parse(evt.data);\n", " var msg_type = msg['type'];\n", "\n", " // Call the \"handle_{type}\" callback, which takes\n", " // the figure and JSON message as its only arguments.\n", " try {\n", " var callback = fig['handle_' + msg_type];\n", " } catch (e) {\n", " console.log(\n", " \"No handler for the '\" + msg_type + \"' message type: \",\n", " msg\n", " );\n", " return;\n", " }\n", "\n", " if (callback) {\n", " try {\n", " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", " callback(fig, msg);\n", " } catch (e) {\n", " console.log(\n", " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", " e,\n", " e.stack,\n", " msg\n", " );\n", " }\n", " }\n", " };\n", "};\n", "\n", "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", "mpl.findpos = function (e) {\n", " //this section is from http://www.quirksmode.org/js/events_properties.html\n", " var targ;\n", " if (!e) {\n", " e = window.event;\n", " }\n", " if (e.target) {\n", " targ = e.target;\n", " } else if (e.srcElement) {\n", " targ = e.srcElement;\n", " }\n", " if (targ.nodeType === 3) {\n", " // defeat Safari bug\n", " targ = targ.parentNode;\n", " }\n", "\n", " // pageX,Y are the mouse positions relative to the document\n", " var boundingRect = targ.getBoundingClientRect();\n", " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", "\n", " return { x: x, y: y };\n", "};\n", "\n", "/*\n", " * return a copy of an object with only non-object keys\n", " * we need this to avoid circular references\n", " * https://stackoverflow.com/a/24161582/3208463\n", " */\n", "function simpleKeys(original) {\n", " return Object.keys(original).reduce(function (obj, key) {\n", " if (typeof original[key] !== 'object') {\n", " obj[key] = original[key];\n", " }\n", " return obj;\n", " }, {});\n", "}\n", "\n", "mpl.figure.prototype.mouse_event = function (event, name) {\n", " var canvas_pos = mpl.findpos(event);\n", "\n", " if (name === 'button_press') {\n", " this.canvas.focus();\n", " this.canvas_div.focus();\n", " }\n", "\n", " var x = canvas_pos.x * this.ratio;\n", " var y = canvas_pos.y * this.ratio;\n", "\n", " this.send_message(name, {\n", " x: x,\n", " y: y,\n", " button: event.button,\n", " step: event.step,\n", " guiEvent: simpleKeys(event),\n", " });\n", "\n", " /* This prevents the web browser from automatically changing to\n", " * the text insertion cursor when the button is pressed. We want\n", " * to control all of the cursor setting manually through the\n", " * 'cursor' event from matplotlib */\n", " event.preventDefault();\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", " // Handle any extra behaviour associated with a key event\n", "};\n", "\n", "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", " if (event.key === this._key) {\n", " return;\n", " } else {\n", " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", " this._key = null;\n", " }\n", "\n", " var value = '';\n", " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", " if (name === 'download') {\n", " this.handle_save(this, null);\n", " } else {\n", " this.send_message('toolbar_button', { name: name });\n", " }\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", "\n", "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", "// prettier-ignore\n", "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", "\n", "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", "var comm_websocket_adapter = function (comm) {\n", " // Create a \"websocket\"-like object which calls the given IPython comm\n", " // object with the appropriate methods. Currently this is a non binary\n", " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", " ws.binaryType = comm.kernel.ws.binaryType;\n", " ws.readyState = comm.kernel.ws.readyState;\n", " function updateReadyState(_event) {\n", " if (comm.kernel.ws) {\n", " ws.readyState = comm.kernel.ws.readyState;\n", " } else {\n", " ws.readyState = 3; // Closed state.\n", " }\n", " }\n", " comm.kernel.ws.addEventListener('open', updateReadyState);\n", " comm.kernel.ws.addEventListener('close', updateReadyState);\n", " comm.kernel.ws.addEventListener('error', updateReadyState);\n", "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", " ws.send = function (m) {\n", " //console.log('sending', m);\n", " comm.send(m);\n", " };\n", " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", " var data = msg['content']['data'];\n", " if (data['blob'] !== undefined) {\n", " data = {\n", " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", " };\n", " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", "\n", "mpl.mpl_figure_comm = function (comm, msg) {\n", " // This is the function which gets called when the mpl process\n", " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", "\n", " var id = msg.content.data.id;\n", " // Get hold of the div created by the display call when the Comm\n", " // socket was opened in Python.\n", " var element = document.getElementById(id);\n", " var ws_proxy = comm_websocket_adapter(comm);\n", "\n", " function ondownload(figure, _format) {\n", " window.open(figure.canvas.toDataURL());\n", " }\n", "\n", " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", "\n", " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", " // web socket which is closed, not our websocket->open comm proxy.\n", " ws_proxy.onopen();\n", "\n", " fig.parent_element = element;\n", " fig.cell_info = mpl.find_output_cell(\"
\");\n", " if (!fig.cell_info) {\n", " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", " );\n", "};\n", "\n", "mpl.figure.prototype.handle_close = function (fig, msg) {\n", " var width = fig.canvas.width / fig.ratio;\n", " fig.cell_info[0].output_area.element.off(\n", " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", " var dataURL = fig.canvas.toDataURL();\n", " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", " // the notebook keyboard shortcuts fail.\n", " IPython.keyboard_manager.enable();\n", " fig.parent_element.innerHTML =\n", " '';\n", " fig.close_ws(fig, msg);\n", "};\n", "\n", "mpl.figure.prototype.close_ws = function (fig, msg) {\n", " fig.send_message('closing', msg);\n", " // fig.ws.close()\n", "};\n", "\n", "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", " // Turn the data on the canvas into data in the output cell.\n", " var width = this.canvas.width / this.ratio;\n", " var dataURL = this.canvas.toDataURL();\n", " this.cell_info[1]['text/html'] =\n", " '';\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Tell IPython that the notebook contents must change.\n", " IPython.notebook.set_dirty(true);\n", " this.send_message('ack', {});\n", " var fig = this;\n", " // Wait a second, then push the new image to the DOM so\n", " // that it is saved nicely (might be nice to debounce this).\n", " setTimeout(function () {\n", " fig.push_to_output();\n", " }, 1000);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'btn-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " var button;\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " continue;\n", " }\n", "\n", " button = fig.buttons[name] = document.createElement('button');\n", " button.classList = 'btn btn-default';\n", " button.href = '#';\n", " button.title = name;\n", " button.innerHTML = '';\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message pull-right';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "\n", " // Add the close button to the window.\n", " var buttongrp = document.createElement('div');\n", " buttongrp.classList = 'btn-group inline pull-right';\n", " button = document.createElement('button');\n", " button.classList = 'btn btn-mini btn-primary';\n", " button.href = '#';\n", " button.title = 'Stop Interaction';\n", " button.innerHTML = '';\n", " button.addEventListener('click', function (_evt) {\n", " fig.handle_close(fig, {});\n", " });\n", " button.addEventListener(\n", " 'mouseover',\n", " on_mouseover_closure('Stop Interaction')\n", " );\n", " buttongrp.appendChild(button);\n", " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", "};\n", "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", " if (event.target !== this) {\n", " // Ignore bubbled events from children.\n", " return;\n", " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", "mpl.figure.prototype._root_extra_style = function (el) {\n", " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (el) {\n", " // this is important to make the div 'focusable\n", " el.setAttribute('tabindex', 0);\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " } else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which === 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " fig.ondownload(fig, null);\n", "};\n", "\n", "mpl.find_output_cell = function (html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i = 0; i < ncells; i++) {\n", " var cell = cells[i];\n", " if (cell.cell_type === 'code') {\n", " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", " var data = cell.output_area.outputs[j];\n", " if (data.data) {\n", " // IPython >= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] === html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "};\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel !== null) {\n", " IPython.notebook.kernel.comm_manager.register_target(\n", " 'matplotlib',\n", " mpl.mpl_figure_comm\n", " );\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rng = np.random.RandomState(0)\n", "x = rng.randn(100)\n", "y = rng.randn(100)\n", "z = 1+2*rng.randn(100)\n", "colors = rng.rand(100)\n", "sizes = 1000 * rng.rand(100)\n", "\n", "fig = plt.figure(figsize=(6,6))\n", "ax = Axes3D(fig,auto_add_to_figure=False)\n", "fig.add_axes(ax)\n", "ax.scatter(x, y, z, c=colors, s=sizes, alpha=0.5, cmap='viridis')\n", "ax.view_init(elev=20., azim=-30)\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Seaborn\n", "This graphical library allows to draw all the previously described plots, but it has some additional interesting features that may become handy in data analytics. The following part focuses only on those extra plots.\n", "\n", "Basically, seaborn provides a collection of functions through different modules: relational, distributional, categorical. For a detailed list of those functions please refer to the [official documentation](https://seaborn.pydata.org/tutorial/function_overview.html).\n", "\n", "We'll go through the most interesting functions that were not previously presented in matplotlib." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['setosa' 'versicolor' 'virginica']\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
05.13.51.40.2setosa
14.93.01.40.2setosa
24.73.21.30.2setosa
34.63.11.50.2setosa
45.03.61.40.2setosa
\n", "
" ], "text/plain": [ " sepal_length sepal_width petal_length petal_width species\n", "0 5.1 3.5 1.4 0.2 setosa\n", "1 4.9 3.0 1.4 0.2 setosa\n", "2 4.7 3.2 1.3 0.2 setosa\n", "3 4.6 3.1 1.5 0.2 setosa\n", "4 5.0 3.6 1.4 0.2 setosa" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "iris = sns.load_dataset('iris')\n", "print(iris['species'].unique())\n", "iris.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The histogram can be used to represent the distribution of datapoints for a given feature:" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "plt.figure()\n", "sns.histplot(data=iris, x=\"sepal_length\", hue=\"species\", multiple=\"stack\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The distribution of datapoints can also be displayed as separate classes, such as:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.displot(data=iris, x=\"sepal_width\", hue=\"species\", col=\"species\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to assess the relationship between two variables a scatter plot may be used, eventually characterizing data by hue and/or size of the markers." ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Sepal Length')" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 1, figsize=(8, 8))\n", "petal_area = iris.petal_length * iris.petal_width\n", "petal_area.rename('Area',inplace=True)\n", "\n", "g = sns.scatterplot(data=iris, x=\"sepal_width\", y='sepal_length',hue=\"species\", size=petal_area, ax=axs)\n", "axs.set_xlabel(\"Sepal Width\")\n", "axs.set_ylabel(\"Sepal Length\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another interesting plot available in seaborn is jointplot which combines the scatter plot with features distribution by class and produces the following output:" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.jointplot(data=iris, x=\"sepal_width\", y='sepal_length', hue=\"species\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And the best way to visualize relationships among the pairs of features is through the pairplot. The diagonal represents the distribution of values for the selected feature and the off-diagonal plots display the pairwise scatter plot against the other features:" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.pairplot(data=iris, hue=\"species\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A violin plot plays a similar role as a box but adds the distribution of quantitative data across categorical variables such that those distributions can be compared. \n", "\n", "Unlike a box plot, in which all of the plot components correspond to actual datapoints, the violin plot features a kernel density estimation of the underlying distribution." ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.violinplot(data=iris, x='species', y='sepal_length', hue='species');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The present lecture doesn't claim to be exhaustive about the two graphical libraries but tries to give you an overview of the most frequently used plots for data analytics and computational intelligence. Many other options are available on the library websites linked in the introduction." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Additional material\n", "This is another live plotting example that works in a normal python script (outside jupyter): the following cell **must be saved in a python script** and executed by invoking python3 script.py." ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "/* global mpl */\n", "window.mpl = {};\n", "\n", "mpl.get_websocket_type = function () {\n", " if (typeof WebSocket !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof MozWebSocket !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert(\n", " 'Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.'\n", " );\n", " }\n", "};\n", "\n", "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = this.ws.binaryType !== undefined;\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById('mpl-warnings');\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent =\n", " 'This browser does not support binary websocket messages. ' +\n", " 'Performance may be slow.';\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = document.createElement('div');\n", " this.root.setAttribute('style', 'display: inline-block');\n", " this._root_extra_style(this.root);\n", "\n", " parent_element.appendChild(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message('supports_binary', { value: fig.supports_binary });\n", " fig.send_message('send_image_mode', {});\n", " if (fig.ratio !== 1) {\n", " fig.send_message('set_device_pixel_ratio', {\n", " device_pixel_ratio: fig.ratio,\n", " });\n", " }\n", " fig.send_message('refresh', {});\n", " };\n", "\n", " this.imageObj.onload = function () {\n", " if (fig.image_mode === 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function () {\n", " fig.ws.close();\n", " };\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "};\n", "\n", "mpl.figure.prototype._init_header = function () {\n", " var titlebar = document.createElement('div');\n", " titlebar.classList =\n", " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", " var titletext = document.createElement('div');\n", " titletext.classList = 'ui-dialog-title';\n", " titletext.setAttribute(\n", " 'style',\n", " 'width: 100%; text-align: center; padding: 3px;'\n", " );\n", " titlebar.appendChild(titletext);\n", " this.root.appendChild(titlebar);\n", " this.header = titletext;\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._init_canvas = function () {\n", " var fig = this;\n", "\n", " var canvas_div = (this.canvas_div = document.createElement('div'));\n", " canvas_div.setAttribute(\n", " 'style',\n", " 'border: 1px solid #ddd;' +\n", " 'box-sizing: content-box;' +\n", " 'clear: both;' +\n", " 'min-height: 1px;' +\n", " 'min-width: 1px;' +\n", " 'outline: 0;' +\n", " 'overflow: hidden;' +\n", " 'position: relative;' +\n", " 'resize: both;'\n", " );\n", "\n", " function on_keyboard_event_closure(name) {\n", " return function (event) {\n", " return fig.key_event(event, name);\n", " };\n", " }\n", "\n", " canvas_div.addEventListener(\n", " 'keydown',\n", " on_keyboard_event_closure('key_press')\n", " );\n", " canvas_div.addEventListener(\n", " 'keyup',\n", " on_keyboard_event_closure('key_release')\n", " );\n", "\n", " this._canvas_extra_style(canvas_div);\n", " this.root.appendChild(canvas_div);\n", "\n", " var canvas = (this.canvas = document.createElement('canvas'));\n", " canvas.classList.add('mpl-canvas');\n", " canvas.setAttribute('style', 'box-sizing: content-box;');\n", "\n", " this.context = canvas.getContext('2d');\n", "\n", " var backingStore =\n", " this.context.backingStorePixelRatio ||\n", " this.context.webkitBackingStorePixelRatio ||\n", " this.context.mozBackingStorePixelRatio ||\n", " this.context.msBackingStorePixelRatio ||\n", " this.context.oBackingStorePixelRatio ||\n", " this.context.backingStorePixelRatio ||\n", " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", " ));\n", " rubberband_canvas.setAttribute(\n", " 'style',\n", " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", " if (this.ResizeObserver === undefined) {\n", " if (window.ResizeObserver !== undefined) {\n", " this.ResizeObserver = window.ResizeObserver;\n", " } else {\n", " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", " this.ResizeObserver = obs.ResizeObserver;\n", " }\n", " }\n", "\n", " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", " var width, height;\n", " if (entry.contentBoxSize) {\n", " if (entry.contentBoxSize instanceof Array) {\n", " // Chrome 84 implements new version of spec.\n", " width = entry.contentBoxSize[0].inlineSize;\n", " height = entry.contentBoxSize[0].blockSize;\n", " } else {\n", " // Firefox implements old version of spec.\n", " width = entry.contentBoxSize.inlineSize;\n", " height = entry.contentBoxSize.blockSize;\n", " }\n", " } else {\n", " // Chrome <84 implements even older version of spec.\n", " width = entry.contentRect.width;\n", " height = entry.contentRect.height;\n", " }\n", "\n", " // Keep the size of the canvas and rubber band canvas in sync with\n", " // the canvas container.\n", " if (entry.devicePixelContentBoxSize) {\n", " // Chrome 84 implements new version of spec.\n", " canvas.setAttribute(\n", " 'width',\n", " entry.devicePixelContentBoxSize[0].inlineSize\n", " );\n", " canvas.setAttribute(\n", " 'height',\n", " entry.devicePixelContentBoxSize[0].blockSize\n", " );\n", " } else {\n", " canvas.setAttribute('width', width * fig.ratio);\n", " canvas.setAttribute('height', height * fig.ratio);\n", " }\n", " canvas.setAttribute(\n", " 'style',\n", " 'width: ' + width + 'px; height: ' + height + 'px;'\n", " );\n", "\n", " rubberband_canvas.setAttribute('width', width);\n", " rubberband_canvas.setAttribute('height', height);\n", "\n", " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", " return fig.mouse_event(event, name);\n", " };\n", " }\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mousedown',\n", " on_mouse_event_closure('button_press')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'dblclick',\n", " on_mouse_event_closure('dblclick')\n", " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", " on_mouse_event_closure('motion_notify')\n", " );\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mouseenter',\n", " on_mouse_event_closure('figure_enter')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseleave',\n", " on_mouse_event_closure('figure_leave')\n", " );\n", "\n", " canvas_div.addEventListener('wheel', function (event) {\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " on_mouse_event_closure('scroll')(event);\n", " });\n", "\n", " canvas_div.appendChild(canvas);\n", " canvas_div.appendChild(rubberband_canvas);\n", "\n", " this.rubberband_context = rubberband_canvas.getContext('2d');\n", " this.rubberband_context.strokeStyle = '#000000';\n", "\n", " this._resize_canvas = function (width, height, forward) {\n", " if (forward) {\n", " canvas_div.style.width = width + 'px';\n", " canvas_div.style.height = height + 'px';\n", " }\n", " };\n", "\n", " // Disable right mouse context menu.\n", " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", " event.preventDefault();\n", " return false;\n", " });\n", "\n", " function set_focus() {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'mpl-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " continue;\n", " }\n", "\n", " var button = (fig.buttons[name] = document.createElement('button'));\n", " button.classList = 'mpl-widget';\n", " button.setAttribute('role', 'button');\n", " button.setAttribute('aria-disabled', 'false');\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", "\n", " var icon_img = document.createElement('img');\n", " icon_img.src = '_images/' + image + '.png';\n", " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", " icon_img.alt = tooltip;\n", " button.appendChild(icon_img);\n", "\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " var fmt_picker = document.createElement('select');\n", " fmt_picker.classList = 'mpl-widget';\n", " toolbar.appendChild(fmt_picker);\n", " this.format_dropdown = fmt_picker;\n", "\n", " for (var ind in mpl.extensions) {\n", " var fmt = mpl.extensions[ind];\n", " var option = document.createElement('option');\n", " option.selected = fmt === mpl.default_extension;\n", " option.innerHTML = fmt;\n", " fmt_picker.appendChild(option);\n", " }\n", "\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "};\n", "\n", "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", " // which will in turn request a refresh of the image.\n", " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", "};\n", "\n", "mpl.figure.prototype.send_message = function (type, properties) {\n", " properties['type'] = type;\n", " properties['figure_id'] = this.id;\n", " this.ws.send(JSON.stringify(properties));\n", "};\n", "\n", "mpl.figure.prototype.send_draw_message = function () {\n", " if (!this.waiting) {\n", " this.waiting = true;\n", " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " var format_dropdown = fig.format_dropdown;\n", " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", " fig.ondownload(fig, format);\n", "};\n", "\n", "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", " var size = msg['size'];\n", " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", " fig._resize_canvas(size[0], size[1], msg['forward']);\n", " fig.send_message('refresh', {});\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", " var x0 = msg['x0'] / fig.ratio;\n", " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", " var x1 = msg['x1'] / fig.ratio;\n", " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", " x0 = Math.floor(x0) + 0.5;\n", " y0 = Math.floor(y0) + 0.5;\n", " x1 = Math.floor(x1) + 0.5;\n", " y1 = Math.floor(y1) + 0.5;\n", " var min_x = Math.min(x0, x1);\n", " var min_y = Math.min(y0, y1);\n", " var width = Math.abs(x1 - x0);\n", " var height = Math.abs(y1 - y0);\n", "\n", " fig.rubberband_context.clearRect(\n", " 0,\n", " 0,\n", " fig.canvas.width / fig.ratio,\n", " fig.canvas.height / fig.ratio\n", " );\n", "\n", " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", "};\n", "\n", "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", " // Updates the figure title.\n", " fig.header.textContent = msg['label'];\n", "};\n", "\n", "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", "};\n", "\n", "mpl.figure.prototype.handle_message = function (fig, msg) {\n", " fig.message.textContent = msg['message'];\n", "};\n", "\n", "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", " // Request the server to send over a new figure.\n", " fig.send_draw_message();\n", "};\n", "\n", "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", " fig.image_mode = msg['mode'];\n", "};\n", "\n", "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", " for (var key in msg) {\n", " if (!(key in fig.buttons)) {\n", " continue;\n", " }\n", " fig.buttons[key].disabled = !msg[key];\n", " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", " if (msg['mode'] === 'PAN') {\n", " fig.buttons['Pan'].classList.add('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " } else if (msg['mode'] === 'ZOOM') {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.add('active');\n", " } else {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " }\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Called whenever the canvas gets updated.\n", " this.send_message('ack', {});\n", "};\n", "\n", "// A function to construct a web socket function for onmessage handling.\n", "// Called in the figure constructor.\n", "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", " var img = evt.data;\n", " if (img.type !== 'image/png') {\n", " /* FIXME: We get \"Resource interpreted as Image but\n", " * transferred with MIME type text/plain:\" errors on\n", " * Chrome. But how to set the MIME type? It doesn't seem\n", " * to be part of the websocket stream */\n", " img.type = 'image/png';\n", " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", " (window.URL || window.webkitURL).revokeObjectURL(\n", " fig.imageObj.src\n", " );\n", " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " } else if (\n", " typeof evt.data === 'string' &&\n", " evt.data.slice(0, 21) === 'data:image/png;base64'\n", " ) {\n", " fig.imageObj.src = evt.data;\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " }\n", "\n", " var msg = JSON.parse(evt.data);\n", " var msg_type = msg['type'];\n", "\n", " // Call the \"handle_{type}\" callback, which takes\n", " // the figure and JSON message as its only arguments.\n", " try {\n", " var callback = fig['handle_' + msg_type];\n", " } catch (e) {\n", " console.log(\n", " \"No handler for the '\" + msg_type + \"' message type: \",\n", " msg\n", " );\n", " return;\n", " }\n", "\n", " if (callback) {\n", " try {\n", " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", " callback(fig, msg);\n", " } catch (e) {\n", " console.log(\n", " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", " e,\n", " e.stack,\n", " msg\n", " );\n", " }\n", " }\n", " };\n", "};\n", "\n", "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", "mpl.findpos = function (e) {\n", " //this section is from http://www.quirksmode.org/js/events_properties.html\n", " var targ;\n", " if (!e) {\n", " e = window.event;\n", " }\n", " if (e.target) {\n", " targ = e.target;\n", " } else if (e.srcElement) {\n", " targ = e.srcElement;\n", " }\n", " if (targ.nodeType === 3) {\n", " // defeat Safari bug\n", " targ = targ.parentNode;\n", " }\n", "\n", " // pageX,Y are the mouse positions relative to the document\n", " var boundingRect = targ.getBoundingClientRect();\n", " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", "\n", " return { x: x, y: y };\n", "};\n", "\n", "/*\n", " * return a copy of an object with only non-object keys\n", " * we need this to avoid circular references\n", " * https://stackoverflow.com/a/24161582/3208463\n", " */\n", "function simpleKeys(original) {\n", " return Object.keys(original).reduce(function (obj, key) {\n", " if (typeof original[key] !== 'object') {\n", " obj[key] = original[key];\n", " }\n", " return obj;\n", " }, {});\n", "}\n", "\n", "mpl.figure.prototype.mouse_event = function (event, name) {\n", " var canvas_pos = mpl.findpos(event);\n", "\n", " if (name === 'button_press') {\n", " this.canvas.focus();\n", " this.canvas_div.focus();\n", " }\n", "\n", " var x = canvas_pos.x * this.ratio;\n", " var y = canvas_pos.y * this.ratio;\n", "\n", " this.send_message(name, {\n", " x: x,\n", " y: y,\n", " button: event.button,\n", " step: event.step,\n", " guiEvent: simpleKeys(event),\n", " });\n", "\n", " /* This prevents the web browser from automatically changing to\n", " * the text insertion cursor when the button is pressed. We want\n", " * to control all of the cursor setting manually through the\n", " * 'cursor' event from matplotlib */\n", " event.preventDefault();\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", " // Handle any extra behaviour associated with a key event\n", "};\n", "\n", "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", " if (event.key === this._key) {\n", " return;\n", " } else {\n", " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", " this._key = null;\n", " }\n", "\n", " var value = '';\n", " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", " if (name === 'download') {\n", " this.handle_save(this, null);\n", " } else {\n", " this.send_message('toolbar_button', { name: name });\n", " }\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", "\n", "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", "// prettier-ignore\n", "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", "\n", "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", "var comm_websocket_adapter = function (comm) {\n", " // Create a \"websocket\"-like object which calls the given IPython comm\n", " // object with the appropriate methods. Currently this is a non binary\n", " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", " ws.binaryType = comm.kernel.ws.binaryType;\n", " ws.readyState = comm.kernel.ws.readyState;\n", " function updateReadyState(_event) {\n", " if (comm.kernel.ws) {\n", " ws.readyState = comm.kernel.ws.readyState;\n", " } else {\n", " ws.readyState = 3; // Closed state.\n", " }\n", " }\n", " comm.kernel.ws.addEventListener('open', updateReadyState);\n", " comm.kernel.ws.addEventListener('close', updateReadyState);\n", " comm.kernel.ws.addEventListener('error', updateReadyState);\n", "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", " ws.send = function (m) {\n", " //console.log('sending', m);\n", " comm.send(m);\n", " };\n", " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", " var data = msg['content']['data'];\n", " if (data['blob'] !== undefined) {\n", " data = {\n", " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", " };\n", " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", "\n", "mpl.mpl_figure_comm = function (comm, msg) {\n", " // This is the function which gets called when the mpl process\n", " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", "\n", " var id = msg.content.data.id;\n", " // Get hold of the div created by the display call when the Comm\n", " // socket was opened in Python.\n", " var element = document.getElementById(id);\n", " var ws_proxy = comm_websocket_adapter(comm);\n", "\n", " function ondownload(figure, _format) {\n", " window.open(figure.canvas.toDataURL());\n", " }\n", "\n", " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", "\n", " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", " // web socket which is closed, not our websocket->open comm proxy.\n", " ws_proxy.onopen();\n", "\n", " fig.parent_element = element;\n", " fig.cell_info = mpl.find_output_cell(\"
\");\n", " if (!fig.cell_info) {\n", " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", " );\n", "};\n", "\n", "mpl.figure.prototype.handle_close = function (fig, msg) {\n", " var width = fig.canvas.width / fig.ratio;\n", " fig.cell_info[0].output_area.element.off(\n", " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", " var dataURL = fig.canvas.toDataURL();\n", " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", " // the notebook keyboard shortcuts fail.\n", " IPython.keyboard_manager.enable();\n", " fig.parent_element.innerHTML =\n", " '';\n", " fig.close_ws(fig, msg);\n", "};\n", "\n", "mpl.figure.prototype.close_ws = function (fig, msg) {\n", " fig.send_message('closing', msg);\n", " // fig.ws.close()\n", "};\n", "\n", "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", " // Turn the data on the canvas into data in the output cell.\n", " var width = this.canvas.width / this.ratio;\n", " var dataURL = this.canvas.toDataURL();\n", " this.cell_info[1]['text/html'] =\n", " '';\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Tell IPython that the notebook contents must change.\n", " IPython.notebook.set_dirty(true);\n", " this.send_message('ack', {});\n", " var fig = this;\n", " // Wait a second, then push the new image to the DOM so\n", " // that it is saved nicely (might be nice to debounce this).\n", " setTimeout(function () {\n", " fig.push_to_output();\n", " }, 1000);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'btn-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " var button;\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " continue;\n", " }\n", "\n", " button = fig.buttons[name] = document.createElement('button');\n", " button.classList = 'btn btn-default';\n", " button.href = '#';\n", " button.title = name;\n", " button.innerHTML = '';\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message pull-right';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "\n", " // Add the close button to the window.\n", " var buttongrp = document.createElement('div');\n", " buttongrp.classList = 'btn-group inline pull-right';\n", " button = document.createElement('button');\n", " button.classList = 'btn btn-mini btn-primary';\n", " button.href = '#';\n", " button.title = 'Stop Interaction';\n", " button.innerHTML = '';\n", " button.addEventListener('click', function (_evt) {\n", " fig.handle_close(fig, {});\n", " });\n", " button.addEventListener(\n", " 'mouseover',\n", " on_mouseover_closure('Stop Interaction')\n", " );\n", " buttongrp.appendChild(button);\n", " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", "};\n", "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", " if (event.target !== this) {\n", " // Ignore bubbled events from children.\n", " return;\n", " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", "mpl.figure.prototype._root_extra_style = function (el) {\n", " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (el) {\n", " // this is important to make the div 'focusable\n", " el.setAttribute('tabindex', 0);\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " } else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which === 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " fig.ondownload(fig, null);\n", "};\n", "\n", "mpl.find_output_cell = function (html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i = 0; i < ncells; i++) {\n", " var cell = cells[i];\n", " if (cell.cell_type === 'code') {\n", " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", " var data = cell.output_area.outputs[j];\n", " if (data.data) {\n", " // IPython >= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] === html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "};\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel !== null) {\n", " IPython.notebook.kernel.comm_manager.register_target(\n", " 'matplotlib',\n", " mpl.mpl_figure_comm\n", " );\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# to be removed for normal scripting\n", "%matplotlib notebook \n", "# to be removed for normal scripting\n", "import datetime as dt\n", "import matplotlib.pyplot as plt\n", "import matplotlib.animation as animation\n", "import numpy as np\n", "\n", "# Create figure for plotting\n", "fig = plt.figure(figsize=(8,4))\n", "ax = fig.add_subplot(1, 1, 1)\n", "xs = []\n", "ys = []\n", "\n", "# simulate temperature read\n", "def read_temp():\n", " temp = 25.0 + np.random.randn()\n", " return temp\n", "\n", "# This function is called periodically from FuncAnimation\n", "def animate(i, xs, ys):\n", "\n", " # Read temperature (Celsius)\n", " temp_c = round(read_temp(), 2)\n", "\n", " # Add x and y to lists\n", " xs.append(dt.datetime.now().strftime('%H:%M:%S.%f'))\n", " ys.append(temp_c)\n", "\n", " # Limit x and y lists to 20 items\n", " xs = xs[-20:]\n", " ys = ys[-20:]\n", "\n", " # Draw x and y lists\n", " ax.clear()\n", " ax.set_ylim([0,40])\n", " ax.plot(xs, ys)\n", "\n", " # Format plot\n", " plt.xticks(rotation=45, ha='right')\n", " plt.subplots_adjust(bottom=0.30)\n", " plt.title('Temperature Monitor')\n", " plt.ylabel('Temperature (deg C)')\n", "\n", "# Set up plot to call animate() function periodically\n", "ani = animation.FuncAnimation(fig, animate, fargs=(xs, ys), interval=1000)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" } }, "nbformat": 4, "nbformat_minor": 2 }