{ "metadata": { "name": "", "signature": "sha256:637e4665e22d75ddc62a34727f56aa8287e7dfabd88721e5f2985ec00657bd5a" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Tutorial Brief" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IPython notebook provides a variaty of web widgets that can interact with python code running the the background kernel.\n", "\n", "Finding Help:\n", "\n", "- http://nbviewer.ipython.org/github/ipython/ipython/blob/2.x/examples/Interactive%20Widgets/Index.ipynb" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "

NumPy

Base N-dimensional array package

SciPy

Fundamental library for scientific computing

Matplotlib

Comprehensive 2D Plotting

IPython

Enhanced Interactive Console

SymPy

Symbolic mathematics

Pandas

Data structures & analysis
" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Why do we use widgets?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> ##IPython includes an architecture for interactive widgets that tie together Python code running in the kernel and JavaScript/HTML/CSS running in the browser. These widgets enable users to explore their code and data interactively.\n", "> *http://nbviewer.ipython.org/github/ipython/ipython/blob/2.x/examples/Interactive%20Widgets/Index.ipynb*" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Import libraries" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from IPython.html import widgets\n", "from IPython.html.widgets import interact\n", "from IPython.display import display" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Build-it Widgets" ] }, { "cell_type": "code", "collapsed": false, "input": [ "tab1_children = [widgets.ButtonWidget(description=\"ButtonWidget\"),\n", " widgets.CheckboxWidget(description=\"CheckboxWidget\"),\n", " widgets.DropdownWidget(values=[1, 2], description=\"DropdownWidget\"),\n", " widgets.RadioButtonsWidget(values=[1, 2], description=\"RadioButtonsWidget\"),\n", " widgets.SelectWidget(values=[1, 2], description=\"SelectWidget\"),\n", " widgets.TextWidget(description=\"TextWidget\"),\n", " widgets.TextareaWidget(description=\"TextareaWidget\"),\n", " widgets.ToggleButtonWidget(description=\"ToggleButtonWidget\"),\n", " widgets.ToggleButtonsWidget(values=[\"Value 1\", \"Value2\"], description=\"ToggleButtonsWidget\"),\n", " ]\n", "\n", "tab2_children = [widgets.BoundedFloatTextWidget(description=\"BoundedFloatTextWidget\"),\n", " widgets.BoundedIntTextWidget(description=\"BoundedIntTextWidget\"),\n", " widgets.FloatSliderWidget(description=\"FloatSliderWidget\"),\n", " widgets.FloatTextWidget(description=\"FloatTextWidget\"),\n", " widgets.IntSliderWidget(description=\"IntSliderWidget\"),\n", " widgets.IntTextWidget(description=\"IntTextWidget\"),\n", " ]\n", "\n", "tab1 = widgets.ContainerWidget(children=tab1_children)\n", "tab2 = widgets.ContainerWidget(children=tab2_children)\n", "\n", "\n", "i = widgets.AccordionWidget(children=[tab1, tab2])\n", "\n", "i.set_title(0,\"Basic Widgets\")\n", "i.set_title(1,\"Numbers Input\")\n", "\n", "display(i)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Simple Example" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will define a function that print the factorial.\n", "\n", "$f(x) = x!$\n", "\n", "$f(x) = x \\times (x-1) \\times ... 1$\n", "\n", "$f(3) = 3! = 3 \\times 2 \\times 1 = 6$" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def factorial(x):\n", " print \"%s!= %s\" % (x,np.math.factorial(x))\n", "\n", "def factorial2(x):\n", " if type(x) == int:\n", " if x >= 0:\n", " print np.prod(np.arange(1,x+1))\n", " else:\n", " print \"ERROR: Number must be positive\"\n", " else:\n", " print \"ERROR: Only interger is allowed\"" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we will test it using a code cell" ] }, { "cell_type": "code", "collapsed": false, "input": [ "factorial(3)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "3!= 6\n" ] } ], "prompt_number": 4 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Using interact function" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will link that to a slider to make the x a variable that we can control." ] }, { "cell_type": "code", "collapsed": false, "input": [ "i = interact(factorial, x=(0,100))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "100!= 93326215443944152681699238856266700490715968264381621468592963895217599993229915608941463976156518286253697920827223758251185210916864000000000000000000000000\n" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Controlling a Chart" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#This function plot x, y and adds a title\n", "def plt_arrays(x, y, title=\"\", color=\"red\", linestyle=\"dashed\", linewidth=2):\n", " fig = plt.figure()\n", " axes = fig.add_subplot(111)\n", " axes.plot(x,y, color=color, linestyle=linestyle, linewidth=linewidth)\n", " axes.set_title(title)\n", " axes.grid()\n", " plt.show()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will define a function that return the following:\n", "\n", "$f(x) = ax^3 + bx^2 + cx + d$\n", "\n", "where a,b,c and d are are constants." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def f(a, b, c, d, **kwargs):\n", " x=np.linspace(-10, 10, 20)\n", " y = a*(x**3) + b*(x**2) + c*x + d\n", " \n", " title=\"$f(x) = (%s)x^{3} + (%s)x^{2} + (%s)x + (%s)$\" % (a,b,c,d)\n", " \n", " plt_arrays(x,y, title=title, **kwargs)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "#Define Constants\n", "a=0.25\n", "b=2\n", "c=-4\n", "d=0\n", "\n", "f(a, b, c, d)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAEOCAYAAACAfcAXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xt8FPW9//HXAgFRkSCQDd3FrpDEEC4JlgL1PKChEPAG\n4rGmQsWgUq2eVoX+JIL1WiXR2qOIcqyKBYuHi30I5FCMaEtUbCXKpbVESii3kFtRDEK4BMj8/hiz\nkPtudpLZ7Lyfj8c+zOzOznzm4zCfne93vjMuwzAMRETEcTrYHYCIiNhDBUBExKFUAEREHEoFQETE\noVQAREQcSgVARMShVABERBxKBUBExKFUACLUnj17mp2ntLSUY8eOtek6WyrYWPft28ebb75JVlYW\nmzdvtiSG5rYvmBgLCwtZtWoVjz32GFu2bLEiPMCa/wdW7xdNaSretozDqVQAItDu3bv5+OOPm52v\nd+/ePP300226zpYKNtaPPvqInj17Eh8fz86dO0NefyDbF0yMa9euxePxMGvWLJ555pmQ4wPr/h9Y\nuV80pbl42yoORzMk4syePTvgefPz840lS5ZYvs5Vq1YZTz75pJGVlWW8/vrrDX7njTfeMJ555hkj\nPT3dWLZsmf/9fv36GZ07dzZiYmJqxRZsrLt37zYyMzONkydPBrk19dXdvsZiDzbG7du3G3Pnzg05\nvoZiDMamTZuMefPm+aet2i+acm68je0vbRGHk6kARIj//u//NubOnWvMnz/fWLBgQVDfnTZtWkjr\n3rZtm/H888/7pysqKozLL7/cPz1y5Ejj4MGDtb5TWFjo/87BgweN6OhoY8+ePYZhGMbLL79s7Nu3\nzzh16lTIsf71r3815syZ0+x8L7zwQqOf1d2+hmLfvXt3i2J84oknjMrKyoDmDSbGYJw5c8aYMGGC\n8dhjj9V6P5T9oqlYDaN2vM3tL6Hun9I4NQFFgMOHD7Ny5Uquu+46jhw5wpgxY4L6fu/evdm1a1eL\n17927Vp+8IMf+Kc/+OADkpKS/NPJycls2LCh1ne2b9/uP73v1asXcXFxfPrppwB07tyZSy65hE6d\nOrU41szMTAoKCujSpQv//Oc/m53/iy++aPSzutvXUOzn9jMEGmNOTg733HMPxcXFzc4bbIzBePPN\nNxk3bhxGnftChrJfNBUr1I63uf0l1P1TGlf/X5i0O5s2bSIlJYXhw4czb9485s6dG9T3k5OT2bx5\nM3Fxcf73du/ezSuvvNLod0aOHMl1110HwCeffFJrnQcOHCA6Oto/HR0dTWFhYa3vX3311bz99tsA\nGIZBaWmpf/2ffPIJJ0+e5OuvvyYhIYFJkyY1GWtDJk+ezK5du9i+fTuPP/54cyloUt3tayr2QGNc\ntWoV8+bNY8GCBaSmpvLggw9aGmOgDh48SMeOHenduzeVlZW1Pgs01y1xbrzN7S+tGYfTqQC0c5s2\nbWL+/Pl4PB5WrVrFsWPHcLlctebJycmhY8eOfPjhhwwePJjc3FwefPBBEhMTAejRo0e9jtJ+/fqR\nlZUVUAx111lRUcF5553nn+7cuTNHjx6t9Z2oqCgGDRoEwB//+EeGDRtGSkoKAGPHjuX6668HICUl\nhdGjR/sPEHVjbWzbvve97wHUKh4tVXf7moq9boyNxXf99df7t9EKDf1/D8Rbb73FHXfcweuvv17v\ns0C2o2YfCiXe5vaXhvZPsYYKQDs3YsQIunbtyr333svAgQN54YUXan2+f/9+kpKSiIuL4+GHH+aB\nBx6ge/fuXHLJJf55unbtSlVVVYtjOHPmTK3pbt268eWXX/qnjx8/jtvtbvC7FRUVLF68mKVLl/rf\nqzmzAPMff15eHpMnT64XayDb1pjPP/+81kFv48aNnDhxwj89atQorr766ga3r6nYz41x//79DBgw\ngPj4+KDjsyLGp59+muPHjze47IyMDMrLyxkxYgQul6te80+w2xFMrHXjbW5/CXX/lMapAESAzz//\n3N+GWrfdvOYfaXl5Od26dSM6Opprr7221jyHDx/m4osvrvVeME1AddfZv39/f3s+mO3Bl19+eb1l\nGIZBdnY2r776KhdeeCH79u3jww8/JCcnh5UrVwJQWVlZa/nnxhrItjVmwIABtc5wHnvsMR555JEG\n522oL6Kh2L/97W/XijGU+KyIcfbs2U0u///+7/84duwY77zzDh999BHHjx8nJyfHf9YUzHYEE2vd\neJvbXxraP8UaKgDtXHl5Ob169fKfTsfGxnL06FEuvPBCAHbs2MHJkyfZsmULo0ePBmDdunW1fo2V\nlpYyYMCAWssNpgmo7jpHjx5d6+CzZcsWnnrqKQD+9a9/0a9fP1wuFwsWLODGG2/kxIkT5Ofnc/z4\ncXw+Hz/96U8Bs5ng4MGDtTo3z401kG2zQt3tAxqMvaYAlJaWkpiYyI4dOzhx4gRbt25t1fgai7E5\nP//5z/1/P/roo7hcrlpNZq25HefG29T+UhNH3f1TrKEC0M5t2rSJ//iP//BPf//73yc/P99/0Fy/\nfj1HjhyhT58+nDhxgtWrV+P1emstY9u2bcyYMaPFMdRd5wUXXMDs2bN54oknqK6uZvbs2cTExABw\n4403smjRIiorK5k5c6a/6cHlcrF//348Hg9vvPEGzz33HPv27WP58uWcf/75DcYayLZZoe72bdy4\nscHYz43x9ttv55VXXmmT+BqKMRgrV64kJycHl8tFUlISN954I9C623FuvE3tLzVxhLJ/ShPsuwJV\nQvHpp58ad955pzFnzhxj27Zt/ve/+uor48EHHwx4OcePHzdmzpwZUizBrrOlrIi1MU899VSjnwWz\nfe0hxkCEuh1NxWoYgcfbmvkUC8YB+Hw+hgwZwtChQxk+fDgAhw4dIi0tjYSEBMaPH09FRYV//qys\nLOLj40lMTGT9+vWhrt6xOnbsiNfrpVevXiQnJ/vfj46OplevXs1eh11j+fLl3HnnnSHFEuw6W8qK\nWBvTVHt5MNvXHmIMRKjb0Vz/Q6DxtmY+hdDPAHw+n/Hll1/Weu/+++/3/wLIzs42MjMzDcMwh70n\nJycbVVVVxp49e4z+/fsbZ86cCTUEqaO6utp4+eWXm51v//79xurVq9t0nS1lZawtEcj2tYcYA9FW\n29FcvHbn0wlchtHA9V9BuPTSS/n000/p2bOn/73ExETef/993G43ZWVlpKamsmPHDrKysujQoQOZ\nmZkAXHnllTz66KOMHDkytComIiJBC7kJyOVyMW7cOIYNG+a/bLC8vNx/Ha/b7aa8vByAkpKSWp1H\nXq834GHwIiJirZCvAvroo4/o06cPBw8eJC0trd7IQJfL1eQIxZaMXhQRkdCFXAD69OkDmDdsuv76\n68nPz/c3/cTGxlJaWuq/pMvj8VBUVOT/7oEDB/B4PPWW6fF4KCkpCTU0ERFH6d+/f1A3zgupCejY\nsWMcOXIEMEdsrl+/nsGDBzNp0iSWLFkCwJIlS/zD+CdNmsTy5cupqqpiz549FBYW+q8cOldJSQmG\neatqvSx4PfLII7bHECkv5VL5DOfXv/71r6CO4SGdAZSXl/tvaHX69Gl+/OMfM378eIYNG0Z6ejqL\nFi3C5/P5h/UnJSWRnp5OUlISnTp1YuHChWoCagN79+61O4SIoVxaS/m0V0gF4NJLL2Xbtm313r/4\n4ot57733GvzO3LlzW3TbWhERsZYeCOMA06dPtzuEiKFcWkv5tFfI4wBaQ2O3pxURkcYFe+zUGYAD\n5OXl2R1CxFAuraV82ksFQETEodQEJCISIdQEJCIiAVEBcAC1s1pHubSW8mkvFQAREYdSH4CISIRQ\nH4CIiAREBcAB1M5qHeXSWsqnvVQAREQcSn0AIiIRQn0AIiISEBUAB1A7q3WUS2spn/ZSARARcSj1\nAYiIRAj1AYiISEBUABxA7azWUS6tpXzaSwVARMSh1AcgIhIh1AcgIiIBUQFwALWzWke5tJbyaS8V\nABERh1IfgIhIhFAfgIiIBEQFwAHUzmod5dJayqe9VABERBzKkgJw5swZhg4dysSJEwE4dOgQaWlp\nJCQkMH78eCoqKvzzZmVlER8fT2JiIuvXr7di9dKM1NRUu0OIGMqltZRPe1lSAObPn09SUhIulwuA\n7Oxs0tLS2LlzJ2PHjiU7OxuAgoICVqxYQUFBAbm5udx9991UV1dbEYKIiAQp5AJw4MAB1q1bx4wZ\nM/y9zzk5OWRkZACQkZHB6tWrAVizZg1TpkwhKioKn89HXFwc+fn5oYYgzVA7q3WUS2spn/YKuQDM\nnDmTX//613TocHZR5eXluN1uANxuN+Xl5QCUlJTg9Xr983m9XoqLi0MNQUTEuaqqWvzVkArA2rVr\niYmJYejQoY1ee+pyufxNQ419Lq1L7azWUS6tpXyG6OhRuPRSuPNOOHky6K93CmXdf/nLX8jJyWHd\nunWcOHGCr7/+mmnTpuF2uykrKyM2NpbS0lJiYmIA8Hg8FBUV+b9/4MABPB5Pg8uePn06Pp8PgOjo\naFJSUvw7S81po6Y1rWlNO3k678EHWVxSAqtW4evTh6AZFsnLyzOuvfZawzAM4/777zeys7MNwzCM\nrKwsIzMz0zAMw9i+fbuRnJxsnDx50ti9e7fRr18/o7q6ut6yLAxLDMPYsGGD3SFEDOXSWspnCE6f\nNoy4OMMAw/jDHwzDCP7YGdIZQF01zTkPPPAA6enpLFq0CJ/Px8qVKwFISkoiPT2dpKQkOnXqxMKF\nC9UEJCLSEmvXwq5d4PPB5MktWoTuBSQi0h59//vwwQfw7LNw332A7gUkIhL5Tp6Evn2hZ0+47bYW\nL0YFwAFqOo0kdMqltZTPFurSBZYuhX374KKLWrwYFQARkfbqggtC+rr6AEREIoT6AEREJCAqAA6g\ndlbrKJfWUj6DdPy4pYtTARARaQ/OnIGUFLj+evjiC0sWqT4AEZH2YM0ac8CXz2cOAOvYsd4s6gMQ\nEYlEzz5r/vfeexs8+LeECoADqJ3VOsqltZTPAG3eDO+/b17zH8LAr7pUAEREwl3Nr/+f/CSkgV91\nqQ9ARCScGQbMmQMvvwxbt8K3v93orMEeO1UARETag5MnzVtANEGdwFKP2lmto1xaS/kMQjMH/5ZQ\nARARcSg1AYmIRAg1AYmIRIIjR1p9FSoADqB2Vusol9ZSPpswcSJccQXs3Nlqq7D0mcAiImKBmoFf\n3bpBbGyrrUZ9ACIi4ebmm+GNN2DWLPjNbwL+msYBiIi0Z8XF5g3fqqth9+4mB37VpU5gqUftrNZR\nLq2lfDbghRfg9Gn44Q+DOvi3hAqAiEg46dsXPB6YObPVV6UmIBGRcHP6NHQK/hodNQGJiLR3LTj4\nt4QKgAOondU6yqW1lE97qQCIiDiU+gBEROxWUWEO+grxUY9t2gdw4sQJRowYQUpKCklJScyZMweA\nQ4cOkZaWRkJCAuPHj6eiosL/naysLOLj40lMTGT9+vWhrF5EJDL8/OeQmAgbN7bpakMqAOeddx4b\nNmxg27Zt/P3vf2fDhg1s3LiR7Oxs0tLS2LlzJ2PHjiU7OxuAgoICVqxYQUFBAbm5udx9991UV1db\nsiHSOLWzWke5tJbyiTnwa/lyc9BX375tuuqQ+wDOP/98AKqqqjhz5gw9evQgJyeHjIwMADIyMli9\nejUAa9asYcqUKURFReHz+YiLiyM/Pz/UEERE2q+agV833NDqA7/qCrkAVFdXk5KSgtvtZsyYMQwc\nOJDy8nLcbjcAbreb8vJyAEpKSvB6vf7ver1eiouLQw1BmpGammp3CBFDubSW4/P51Vfw0kvm37Nm\ntfnqQ77YtEOHDmzbto3Dhw8zYcIENmzYUOtzl8uFy+Vq9PtNfSYiEtGys80O4NRUGDmyzVdv2WiD\n7t27c80117B582bcbjdlZWXExsZSWlpKTEwMAB6Ph6KiIv93Dhw4gMfjaXB506dPx+fzARAdHU1K\nSor/10JNu6GmA5t+7rnnlD+Lps9tsw6HeNr7tOPzOWoUecuWwY9+ROo3eQg2f4sXLwbwHy+DEdJl\noF988QWdOnUiOjqa48ePM2HCBB555BHeeecdevbsSWZmJtnZ2VRUVJCdnU1BQQFTp04lPz+f4uJi\nxo0bx65du+qdBegyUGvl5eX5dx4JjXJpLeUT866fHawZktWmt4P+7LPPyMjIoLq6murqaqZNm8b9\n99/PoUOHSE9PZ//+/fh8PlauXEl0dDQA8+bN47XXXqNTp07Mnz+fCRMmhLwRIiKi5wGIiDiWbgYn\n9ZzbziqhUS6tpXzaSwVARKStGAb89rdw9KjdkQBqAhIRaTtvvgnp6TB0qPngd4svg1cTkIhIODp1\nCubONf++807LD/4toQLgAGpntY5yaS1H5fPll2HXLkhIgNtuszsaQAVARKT1HTkCjz9u/p2VBVFR\n9sbzDfUBiIi0tt//Hm65Bb73Pfjoo1Zr/gn22Nk2D54UEXGyadPA6zUf+hIGbf811ATkAI5qZ21l\nyqW1HJXPMWNg2DC7o6hFBUBExKHUByAiEiE0DkBEJBy0g8fdqgA4gKPaWVuZcmmtiM2nYcCVV8Iv\nfgGHD9sdTaNUAERErLZ2Lbz7LixZYnckTVIfgIiIlU6fhuRkKCiAZ5+F++5rs1WrD0BExE5LlpgH\nf58P7rrL7miapALgABHbzmoD5dJaEZfPY8fg4YfNv598Erp0sTeeZmgksIiIVSor4fvfh5074aab\n7I6mWeoDEBGx2vHj0LVrm69WzwQWEXEodQJLPRHXzmoj5dJayqe9VABERBxKTUAiIqHYsQPOnIGB\nA+2ORE1AIiJt6p57YMgQWLHC7kiCpgLgAGpntY5yaa12n8933zVf3brBuHF2RxM0FQARkZaorobM\nTPPvOXOgZ09742kB9QGIiLTE0qXmox49HigstOW6/7rUByAi0tqqq81bPQD86ldhcfBviZAKQFFR\nEWPGjGHgwIEMGjSI559/HoBDhw6RlpZGQkIC48ePp6Kiwv+drKws4uPjSUxMZP369aFFLwFp9+2s\nYUS5tFa7zWeHDpCXB489BhkZdkfTYiEVgKioKJ599lm2b9/Oxx9/zIsvvsjnn39OdnY2aWlp7Ny5\nk7Fjx5KdnQ1AQUEBK1asoKCggNzcXO6++26q28FTc0RE6nG7zRu/dWi/DSkhRR4bG0tKSgoAF154\nIQMGDKC4uJicnBwyvqmKGRkZrF69GoA1a9YwZcoUoqKi8Pl8xMXFkZ+fH+ImSHNSU1PtDiFiKJfW\nUj7tZVnp2rt3L1u3bmXEiBGUl5fjdrsBcLvdlJeXA1BSUoLX6/V/x+v1UlxcbFUIIiISBEsKwNGj\nR7nhhhuYP38+3bp1q/WZy+XC5XI1+t2mPhNrtNt21jCkXFqrXeVz2zZzxG8ECfl5AKdOneKGG25g\n2rRpTJ48GTB/9ZeVlREbG0tpaSkxMTEAeDweioqK/N89cOAAHo+nweVOnz4dn88HQHR0NCkpKf7T\nxZqdRtOBTW/bti2s4tG0ptvddEkJqXfcAUOGkPfQQ9C1a1jEl5eXx+LFiwH8x8tghDQOwDAMMjIy\n6NmzJ88++6z//dmzZ9OzZ08yMzPJzs6moqKC7OxsCgoKmDp1Kvn5+RQXFzNu3Dh27dpV7yxA4wBE\nJGxUV8OYMfDBB/CjH8Hy5XZH1Kg2fR7Axo0bGT16NEOGDPEfxLOyshg+fDjp6ens378fn8/HypUr\niY6OBmDevHm89tprdOrUifnz5zNhwoSQN0JEpNU89xzMnGle9bN9e1iP+NUDYaSevLw8/+mjhEa5\ntFbY53PHDhg6FE6cgDVrYNIkuyNqkkYCi4hYZeFC8+A/fXrYH/xbQmcAIiKNqa6G3/4Wpk6F7t3t\njqZZagISEXEoNQFJPTWXjUnolEtrKZ/2UgEQEXEoNQGJiNTYvh169IBvfcvuSFpETUAiIi1x/Dj8\n8IcwaBBs3mx3NG1CBcAB1M5qHeXSWmGVz1/+0rzuPzYWBg60O5o2oQIgIvLhh/Dss9CxI7z+Opx3\nnt0RtQn1AYiIsx09CsnJsHs3PPQQPP643RG1mPoARESCkZcH+/ZBSorZDOQgKgAOEFbtrO2ccmmt\nsMjntdfCX/8KS5dC5852R9OmQn4egIhIu/fd79odgS3UByAiEiHUByAiIgFRAXCAsGhnjRDKpbVs\nyWdpKaxf3/brDUMqACLiHEeOwDXXwIQJsGCB3dHYTn0AIuIMp06ZD3XJzYW4OPPKn1697I7KUuoD\nEBGpyzDgrrvMg3+vXvD22xF38G8JFQAHULu1dZRLa7VZPp9+GhYtgq5dYe1a8wxAVABExAGuvhou\nuQT+939hxAi7owkb6gMQEWc4cSLib/KmZwKLiDiUOoGlHrVbW0e5tJbyaS8VABGJLIcPm2390iw1\nAYlI5KiqMjt8//Qn8wEv991nd0RtSk1AIuJMhgE/+Yl58He7YfJkuyMKeyoADqB2Vusol9ayNJ8P\nP2w+zvGCC+CPfwSfz7plR6iQC8Btt92G2+1m8ODB/vcOHTpEWloaCQkJjB8/noqKCv9nWVlZxMfH\nk5iYyHrdkElErLB4MTzxBHToACtXwne+Y3dE7ULIfQAffvghF154IbfccgufffYZALNnz6ZXr17M\nnj2bp556iq+++ors7GwKCgqYOnUqn3zyCcXFxYwbN46dO3fSoUPtOqQ+ABEJSmEhXHUVzJ4Nd9xh\ndzS2afM+gFGjRtGjR49a7+Xk5JCRkQFARkYGq1evBmDNmjVMmTKFqKgofD4fcXFx5OfnhxqCiDhd\nfDz8/e+OPvi3RKv0AZSXl+N2uwFwu92Ul5cDUFJSgtfr9c/n9XopLi5ujRDkHGq3to5yaS1L83n+\n+dYtyyFavRPY5XLhcrma/FxERNpeqzwU3u12U1ZWRmxsLKWlpcTExADg8XgoKiryz3fgwAE8Hk+D\ny5g+fTq+b3rxo6OjSUlJITU1FTj7q0HTgU3XvBcu8bTn6dTU1LCKp71Ptyif69fD+++T+sQT4HKF\n1fa09XReXh6LFy8G8B8vg2HJQLC9e/cyceLEWp3APXv2JDMzk+zsbCoqKmp1Aufn5/s7gXft2lXv\nLECdwCLSoOpq+PGPYflyeOghePxxuyMKK23eCTxlyhSuuOIK/vnPf9K3b19+97vf8cADD/Duu++S\nkJDAn//8Zx544AEAkpKSSE9PJykpiauuuoqFCxeqCagN1PxikNApl9YKKp/V1TBzpnnw79YNbrih\n1eJyCt0KwgHyzmn+kdAol9YKOJ+VlTBtGqxaBZ06wbp1kJbW6vG1N7odtIhEnp/8BF59Fbp3hz/8\nAcaNszuisKQCICKRp6zMbPt/8UVITLQ7mrClm8FJPWq3to5yaa2A8xkba97kTQd/S6kAiIg4lJqA\nRCR8nDwJL70EP/sZdOxodzTtTrDHzlYZCCYiErSDB+E//xM2boTSUsjOtjuiiKcmIAdQu7V1lEtr\n+fO5fTuMGGEe/L1euOkmW+NyChUAEbFXbi5ccQXs2QPf/S7k50NKit1ROYL6AETEPoYB48fDe+/B\nD38IS5borp4h0DgAEWlfDh0yn+h1333mE72kxTQOQOpRu7V1lEtr5eXlwcUXw6xZOvjbQBkXEXEo\nNQGJSNv48ENYsACWLoXOne2OJiKpCUhEwsvx4/CrX8HYsfDmm/Db39odkXxDBcAB1G5tHeUyCIYB\nb70FSUnw8MNw6hTcey/cdZd/FuXTXhoJLCKtIy/v7ENbhgyB+fNBz1IIK+oDEJHWYRjwox/BmDHm\n/fw76fdma9M4gHBgGPDvf4PbXf+zykrzvuanT9d+dekC77xTf/4jR2DQIHMel8tcZmys+Xr1VfO9\nhtavR22KOI4KQFs7dQrefhsKCuDzz8/+NyrKHOBS90B89Kj5PNO6zj/fLA51VVbChRfWf79HD3P5\ndR09CjExZ4tEbCx5Z86QOnIkzJnTsm0UPz0SsgHvvw+7d8Ottwb9VeXTWrobaGuoqoLCQrMzq+4B\n3eWC9HTzNrbniomBr74yB7mcq2vXs881PfcVFdXwurt2hb17zXlOnzbPLMrK4NixhucvKzOvutiz\nx3zV2LKl4QJQWQnz5sHAgeb2JSbCeec1mQ4RAPbtg/vvN6/sOf988zGNffvaHZUEQWcADTl9Gv78\nZ1i+HP7yF9i1C86cgQMHwOOpP/9Pf2oeNJOSzNeAAdCzZ9vHDWbzz9GjZiE499WhA/zXf9Wf/9NP\nzRtw1ejQAfr1gx/8QJfrScOOHYNf/9q8XfOJE+aPlDlz4P/9P/NvsY2agKwwbBhs3nxuQOZB8Q9/\niLy7FO7ZA6+9ZjZdbd9+tthNmGDepbGuwkL43e/MM4ahQ+Gyy/TgDqe59Vbz3j1g3rb56af1yz9M\nqABY4Re/gLVrYcoUmDjR/FXfjn/ZBNXOevIk7NxpngUNHVr/89dfh4yMs9MXXACXX27m6pzruyOV\n2qyBHTvMfeCZZ2DUqJAWpXxaS30AgdixA5Ytg/794ZZb6n/+5JPmzu3EK2m6dIHBgxv/PDnZHNTz\n2Wdmv8K+feYQ/+HDG55//36zmSAuTjf7am9qDiR1/x0kJsLHHzvz30eEcc4ZwN69sGKFeeD/29/M\n94YNg08+sXY9TnPwoFkIPB7zctW6MjPNJoKLLoLvfMd8DRsGo0dDnz5tH680b+dOeOMN8549y5Y1\nXtwl7OgMoCH/+EftX7Xdu5vPHp0yxb6YIkXv3mZ/QWO6dIFvfQtKSmDDBvMF5hiG229vmxilef/+\nt/kDaelS84lcNd56SwUggjnjDMAwzKaLgQPNTqsrrzQPTA4RFu2spaVmx/qnn5qvp54y/3/UlZFh\nFouaM4XvfAd8vrBpbgiLXLaG3/zGvIoHzHEqN9wAN99s3rqhFTv5IzafNnH2GcCOHWazQvfutd93\nuWDbNrVB26lPH7j2WvPVlHffNYvFe++dfe/ii81+hqSk1o3RyaZONe/dc/PN5oUPeiyjI0TGGcCX\nX8Jjj8H//I95BU92dusFJ62rqMg8U6g5W9i82Rzx/PXXDR+Unn7a7MxPToZLL9UlqQ0xDPMH0NKl\nZiH9619VSZcJAAAJWklEQVSVpwjVLi4Dzc3N5b777uPMmTPMmDGDzMzM2kEFuhFVVbBwITz+uDnq\ntmaw0/PPt1Lk0uYMA8rLzdta1FV3pHWXLua4hEGDzINdmDQb2ebvf4d16+D3vzfHedT44IOQL9+U\n8BT0j2ejjZ0+fdro37+/sWfPHqOqqspITk42CgoKas0TUFiHDxtGQoJhmIcIwxg3zjD+9rdWirp9\n27Bhg90htI5//9sw5s41jAkTDMPrPbsv9OvX8PwVFYbx4IOGsXSpYWzZYhiVlUGvMuxyWVVlGMeO\nNfzZddedzUmvXobxs58ZxscfG0Z1ddvG2ISwy2c7F+whvc37APLz84mLi8Pn8wFw0003sWbNGgYM\nGBDcgi66yLzHOJgdWNdco198TtO7tzlmo8bXX5v9QF9/3fD827fXnt/lMjuYx4+Hl15q1VAtUVJi\nNol99pl5Zds//mFu7wsvwB131J9/wgSzP+zGG82/G7vflDhWmxeA4uJi+p4zbNzr9bJp06aWLeyl\nl8xCoB27SY65yuKii5q+ZNHthl/+8uxdWwsLzVthlJY2PP8775j3s4+J8b9S3W5z8Nu5o6FbqrIS\nvvjCHH1dVWW+Tp6EXr0gPr7+/C++aN64r67i4oaXf9ddYT862zH7Zphq8wLgCvZX+okTZpvl+PH1\nP7PrhmvSPvXvbz6btsapU+a9j6qrG56/vBwOHzZfhYVn3//qq4YLQE4O3H23eXuMmoP6yZPmpccv\nvlh//uXLYcaM+u/feqt5f6a6Ro4077g5aJA5rmXQIPPKqIZuFy4SgDYvAB6Ph6KiIv90UVERXq+3\n3nzTMzLwVVbCe+8R/fXXpPzud6R+84+u5jmiNb8eNN309HPPPUdKSkrYxBNW0wMGmNPnXI/u//zm\nm+Haa8lbuxYOHSLV4yFv40azQ7qh+YuLobgYcwpSv/lv3s6dDc/fvTtccgl5p09DVBSpF18MnTub\n329o/okTYeLEs9PfnO2EVT6DnK75O1ziaW/TeXl5LP7mxnw1zerBaPOrgE6fPs1ll13Gn/70J771\nrW8xfPhwli1bVqsPwOVyYVxxhXkrZjB/7bz2mjkwSIKWp8E2lmkylydPnn0eQ5cu5qtzZ/PyVV1X\n3yDtm9ZqF5eBvv322/7LQG+//Xbm1HlQicvlwgCz3fWJJ+C223TdsohIM9pFAWiOy+XCeOAB8yET\nF11kdzgiIu1CsAUgfO+NkJWlg79Fzm1nldAol9ZSPu0VvgVARERaVfg2AYVfWCIiYS1ymoBERKRV\nqQA4gNpZraNcWkv5tJcKgIiIQ6kPQEQkQqgPQEREAqIC4ABqZ7WOcmkt5dNeKgAiIg6lPgARkQih\nPgAREQmICoADqJ3VOsqltZRPe6kAiIg4lPoAREQihPoAREQkICoADqB2Vusol9ZSPu2lAiAi4lDq\nAxARiRDqAxARkYCoADiA2lmto1xaS/m0lwqAiIhDqQ9ARCRCqA9AREQCogLgAGpntY5yaS3l014q\nACIiDqU+ABGRCKE+ABERCUiLC8Cbb77JwIED6dixI1u2bKn1WVZWFvHx8SQmJrJ+/Xr/+5s3b2bw\n4MHEx8dz7733tjxqCYraWa2jXFpL+bRXiwvA4MGDWbVqFaNHj671fkFBAStWrKCgoIDc3Fzuvvtu\n/ynJXXfdxaJFiygsLKSwsJDc3NzQopeAbNu2ze4QIoZyaS3l014tLgCJiYkkJCTUe3/NmjVMmTKF\nqKgofD4fcXFxbNq0idLSUo4cOcLw4cMBuOWWW1i9enXLI5eAVVRU2B1CxFAuraV82svyPoCSkhK8\nXq9/2uv1UlxcXO99j8dDcXGx1asXEZEAdWrqw7S0NMrKyuq9P2/ePCZOnNhqQYm19u7da3cIEUO5\ntJbyaa8mC8C7774b9AI9Hg9FRUX+6QMHDuD1evF4PBw4cKDW+x6Pp8Fl9O/fH5fLFfS6pXFLliyx\nO4SIoVxaS/m0Tv/+/YOav8kCEKhzrzudNGkSU6dOZdasWRQXF1NYWMjw4cNxuVxcdNFFbNq0ieHD\nh/P73/+ee+65p8Hl7dq1y4qwRESkCS3uA1i1ahV9+/bl448/5pprruGqq64CICkpifT0dJKSkrjq\nqqtYuHCh/9f8woULmTFjBvHx8cTFxXHllVdasxUiIhK0sBwJLCIirS9sRgK3ZGCZBObRRx/F6/Uy\ndOhQhg4dqvEXLZSbm0tiYiLx8fE89dRTdofT7vl8PoYMGcLQoUP9l4dLYG677TbcbjeDBw/2v3fo\n0CHS0tJISEhg/PjxAV1iGzYFIJiBZdXV1TZF2T65XC5mzZrF1q1b2bp1q5reWuDMmTP87Gc/Izc3\nl4KCApYtW8bnn39ud1jtmsvlIi8vj61bt5Kfn293OO3KrbfeWu+HXHZ2NmlpaezcuZOxY8eSnZ3d\n7HLCpgAEM7BMO0vw1NIXmvz8fOLi4vD5fERFRXHTTTexZs0au8Nq97RftsyoUaPo0aNHrfdycnLI\nyMgAICMjI6CBtmFTABrT2MAyCc6CBQtITk7m9ttv1+jLFiguLqZv377+ae2HoXO5XIwbN45hw4bx\nyiuv2B1Ou1deXo7b7QbA7XZTXl7e7HcsuQw0UFYNLNMYgfoay+2TTz7JXXfdxcMPPwzAQw89xC9+\n8QsWLVrU1iG2a9rnrPfRRx/Rp08fDh48SFpaGomJiYwaNcrusCKCy+UKaJ9t0wJg1cCyxgaQOVmg\nuZ0xY4ZGcbdA3f2wqKio1pmpBK9Pnz4A9O7dm+uvv578/HwVgBC43W7KysqIjY2ltLSUmJiYZr8T\nlk1AdQeWLV++nKqqKvbs2eMfWCaBKy0t9f+9atWqWlcOSGCGDRtGYWEhe/fupaqqihUrVjBp0iS7\nw2q3jh07xpEjRwCorKxk/fr12i9DNGnSJP+o6iVLljB58uTmv2SEibfeesvwer3GeeedZ7jdbuPK\nK6/0f/bkk08a/fv3Ny677DIjNzfXxijbp2nTphmDBw82hgwZYlx33XVGWVmZ3SG1S+vWrTMSEhKM\n/v37G/PmzbM7nHZt9+7dRnJyspGcnGwMHDhQ+QzSTTfdZPTp08eIiooyvF6v8dprrxlffvmlMXbs\nWCM+Pt5IS0szvvrqq2aXo4FgIiIOFZZNQCIi0vpUAEREHEoFQETEoVQAREQcSgVARMShVABERBxK\nBUBExKFUAEREHOr/Awq5PBBPvRmmAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "i = interact(f,\n", " a=(-10.,10),\n", " b=(-10.,10),\n", " c=(-10.,10),\n", " d=(-10.,10),\n", " color = [\"red\", \"blue\", \"green\"],\n", " linestyle=[\"solid\", \"dashed\"],\n", " linewidth=(1,5)\n", " )" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAEOCAYAAABsJGdEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", "text": [ "" ] } ], "prompt_number": 14 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Displaying a widget from interact function" ] }, { "cell_type": "code", "collapsed": false, "input": [ "i.widget" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAEOCAYAAABsJGdEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XdYU2f7B/BvWC5QECVgIoYpQ5bbKo4KWq3bFke1uPqz\n+rZ11d26Fehb67bVqrXW1tVWsQ7qqLiqogJWAQcCynYie+b8/uAlNZ4ACTnJScL9uS6v9jznOTn3\n8yTcHO4zImAYhgEhhBCDZMR3AIQQQjSHkjwhhBgwSvKEEGLAKMkTQogBoyRPCCEGjJI8IYQYMEry\nhBBiwCjJE0KIAaMkr2XJycm19snMzERhYaFW98kFVeN+9OgRDh06hJCQENy8eZOTGLgaqypjefDg\nAQ4fPozly5cjOjqak/0Dmn3fuP6M1URXP3/1BSV5LUpKSsLVq1dr7deyZUt89dVXWt0nF1SN+/Ll\ny7C2toaLiwvu37+v9v65HKsqYzl27BhEIhFmz56Nr7/+mpP9a/p94/IzVhNd/vzVGwzRmnnz5ind\nNyoqivnxxx+1us8qhw8fZlavXs2EhIQwe/bsUdjn559/Zr7++msmKCiI2bdvn6xd1biTkpKY+fPn\nMyUlJSrH+SZFY42JiWHmzJlT43ZcjSUuLo5ZtGiR8gHX4M2xKBqHMu9TTf24+ozVpC6fv507dzIr\nV65kQkNDmcOHDyvs4+joyJiZmTE2NjZyY9DGmPQNJXkN++abb5hFixYxGzZsYDZt2qTStuPHj1dr\n37GxsczGjRtV2iYnJ4dp3769bLlr167M06dP5fo8ePBA9rpPnz5lLC0tmaSkJNl6VeO+cuUKs3Dh\nwlr7bd68udp1isa6du1aZvjw4cyECROq3Y7LsaxatYopKCiotV9N42AY9lgUjUOZ90mZfup8xlQd\nhzL++ecfpkePHrLlgIAApqioiNVv+/btzKNHj5iysjLWOnV/bgwNlWs06NWrVzh48CCGDh2KvLw8\n9OnTR6XtW7ZsicTExDrv/9ixY3j77bdV2ubChQvw8PCQLfv4+ODcuXNyfeLi4mR/Frdo0QLOzs5y\nNXVl454/fz7i4+PRoEED3Lt3r9b+z549q3adorHOnj0bQ4cOrfE1uRrL0aNH8dlnnyE9Pb3WvjWN\nA2CPRdE4lHmflOmnzmdM1XEoIyIiAg4ODrJlGxsbXL58mdXPzMwM9vb2MDExYa1T9+fG0LBniHDm\n2rVr8PX1RefOnbFmzRosWrRIpe19fHxw8+ZNODs7y9qSkpLw/fffV7tN165dZQnh+vXrKu8zLS0N\nlpaWsmVLS0s8ePBArs/AgQNx8uRJAADDMMjMzJSLUVHcigwbNgyJiYmIi4vDihUrVIrzTdWNlanl\nIatcjOXw4cNYs2YNNm3ahN69e2Px4sV1HEUlRWN5cxzKvE/K9FP2vaqLunz+LCwsUFZWJlsuLi5G\nQkIC+vbty3rtkpIS5ObmwtXVFUOGDJGt0+SY9BEleQ25du0aNmzYAJFIhMOHD6OwsBACgUCuz9Gj\nR2FsbIyLFy/Cy8sLERERWLx4Mdzc3AAAVlZWrBOSjo6OCAkJUSoGRfusTU5ODho2bChbNjMzQ35+\nvlwfU1NTtGvXDgBw/PhxdOzYEb6+vrL1b8Zd3Ti7desGAHI/oHVV3VhrG78qY6luHMOHD8fw4cPV\nHkNNY3lzWZn3SZl+yoyv6vPIxThqM2LECOzatQsMwyA/Px/37t1Dp06dWP369u0rm3NfX1/07NlT\n9stM0c9NfUZJXkO6dOmCRo0aYcaMGfD09MTmzZvl1j9+/BgeHh5wdnbGkiVLsGDBAjRr1gz29vay\nPo0aNUJpaWmdY6ioqGC1ffXVVygqKlLYPzg4GBYWFnj+/LmsraioCEKhUGH/nJwc7N69G3v37pVr\nfz1uZcZZnYSEBOzZs0e2fOnSJRQXF8uW/f39MXDgwGrHCtR+JK/sWB4/fgx3d3e4uLhodBzVjeXN\ncSj7PtXWT5XxqTuO2j57EokENjY2+OGHH/D999/Dzs4OXl5esLGxYfV/vXxlZWWFyMhIDBs2TG5M\npBIleQ1KSEiQ1UPfrB1W/fBkZ2fDwsIClpaWGDRokFyfV69eoXnz5nJtqpRrFNUr582bV2PMTk5O\nuHHjhmz52bNnaN++PasfwzAIDQ3Fjh07YG5ujkePHqFNmzasuJUZZ3Xc3d3l/mpZvnw5li5dqrCv\norECtR/JKzsWbY2jurG8OQ5l36fa+qkyPnXHUdtnr4qHhwc8PT0BACtWrMDKlSvl1u/duxdHjx7F\nwYMHAQAFBQVy+1L0c1OfUZLXkOzsbLRo0UL2w2lra4v8/HyYm5sDAO7evYuSkhJER0ejZ8+eAIAT\nJ07IHQllZmbC3d1d7nVVKde8uU9l9OzZU+6HMTo6GmFhYQCAhw8fwtHREQKBAJs2bcL777+P4uJi\nREVFoaioSJYYX49bmXFyobqxKjqSf30cAGodi5ubG+7evYvi4mLExMRodBzVjeXNcSj7PtXUT9Pj\nq8vnLyUlBUOHDsWtW7eQkJCANm3ayGrrVeOSSCT4+OOPAVSWhJ4+fSp3glfRz019RlfXaMi1a9fQ\nvXt32XKvXr0QFRUlWz516hSOHTsGhmFQXFyMI0eOsP4sjY2NlXsNVb25T2U0adIE8+bNw6pVq7Bi\nxQrMmzdPFtf777+P2NhYXLp0CbNmzUKnTp3QqlUrdOvWTe4k1+txKzNOLiga6+bNm7Fr1y5ERkZi\n+fLlyM3NlRsHAKXHcurUKRw/flzj41A0FkXjUOZ9Amp+PzU9vrp8/kQiEYYNG4atW7di+/btcn+1\nVo2rR48eyMzMxPr167F48WLs378fjRs3Zo2J/A8Pl20atBs3bjBTp05lFi5cyMTGxsraX758ySxe\nvFjp1ykqKmJmzZqlViyq7pMLXMRdnbCwsGrXaWKsmhpLTeNgGO29b+qOT1fG8TpNfv70lVJH8qmp\nqejTpw88PT3Rrl07bNy4EQCwbNkyiMVi+Pn5wc/PT3YpGgCEhITAxcUFbm5uOHXqlGZ+Q+kgY2Nj\niMVitGjRAj4+PrJ2S0tLtGjRotZri6vs378fU6dOVSsWVffJBS7irk5NNV1NjFVTY6mtNq2t903d\n8enKOF6nyc+f3lLmN0FmZiYTExPDMAzD5OXlMa6urkx8fDyzbNkyZu3ataz+cXFxjI+PD1NaWsok\nJyczTk5OTEVFBbe/nvSQVCpltm/fXmu/x48fM0eOHNHqPrnAZdx1weVYDWksimhrfPXp86erBAyj\n5DVmrxk2bBg++eQTXL58Gebm5pgzZ47c+pCQEBgZGWH+/PkAgHfeeQfLli1D165dufnNRAghRCkq\nn3hNSUlBTEyMLGFv2rQJPj4+mDx5MnJycgAAGRkZEIvFsm3EYrFSt3sTQgjhlkpJPj8/H++99x42\nbNgAc3NzTJs2DcnJyYiNjYWdnR3riP51qt75RgghRH1KXydfVlaGkSNHYty4cbI7y16/xGrKlCkY\nPHgwgMrLoFJTU2Xr0tLSIBKJ5F5PJBIhIyNDreAJIaS+cXJyUu0BbMoU7qVSKTN+/Hhm5syZcu0Z\nGRmy///mm2+YMWPGMAzz74nXkpISJikpiXF0dGSkUqnctkrumihp6dKlfIdgUGg+uUXzyR1Vc6dS\nR/KXL1/G3r174e3tDT8/PwDAmjVrsG/fPsTGxkIgEMDBwQHbtm0DUHlbclBQEDw8PGBiYoKtW7dS\nuUbDUlJS+A7BoNB8covmkz9KJfkePXpAKpWy2gcMGFDtNosWLVL5MaOEEEK4RY81MBATJkzgOwSD\nQvPJLZpP/tTpOnlOdiwQKP0YWEIIIZVUzZ10JG8gIiMj+Q7BoNB8covmkz+U5AkhxIBRuYYQQvQI\nlWsIIYTIUJI3EFTz5BbNJ7doPvlDSZ4QQgwY1eQJIUSPUE2eEEKIDCV5A0E1T27RfHKL5pM/lOQJ\nIcSAUU2eEEL0CNXkCSGEyFCSNxBU8+QWzSe3aD75Q0meEEIMGNXkCSFEj1BNnhBCiAwleQNBNU9u\n0Xxyi+aTP5TkCSHEgFFNnhBC9AjV5AkhhMhQkjcQVPPkFs0nt2g++UNJnhBCDBivNfk9sXtw/MFx\n/DT8J5gam/IRBiGE6BVVa/K8Jnksq/z/iA8i0N+5Px9hEEKIXtHLE68H4w7yHYLeo5ont2g+uUXz\nyR+dSPK/3/0dpRWlfIdBCCEGR6kkn5qaij59+sDT0xPt2rXDxo0bAQAvXrxAYGAgXF1d0a9fP+Tk\n5Mi2CQkJgYuLC9zc3HDq1KkaXz+nOAdnks6oMQzSu3dvvkMwKDSf3KL55I9SSd7U1BTr1q1DXFwc\nrl69ii1btiAhIQGhoaEIDAzE/fv30bdvX4SGhgIA4uPjceDAAcTHxyMiIgLTp0+HVCqtcR9H7h5R\nfzSEEELkKJXkbW1t4evrCwAwNzeHu7s70tPTcfToUQQHBwMAgoODceRIZaIODw/HmDFjYGpqColE\nAmdnZ0RFRbFet2mDphjvPR7HxhzD5oGbuRpTvUQ1T27RfHKL5pM/JqpukJKSgpiYGHTp0gXZ2dkQ\nCoUAAKFQiOzsbABARkYGunbtKttGLBYjPT2d9VrZn2ejoUnDusZOCCGkFiqdeM3Pz8fIkSOxYcMG\nWFhYyK0TCASVl0VWQ9E6SvDcoZont2g+uUXzyR+lj+TLysowcuRIjB8/HsOGDQNQefSelZUFW1tb\nZGZmwsbGBgAgEomQmpoq2zYtLQ0ikYj1mhMmTIBEIgEAWFpawtfXV/ZhqPrzjpZpmZZpuT4vR0ZG\nYvfu3QAgy5eqUOpmKIZhEBwcDGtra6xbt07WPm/ePFhbW2P+/PkIDQ1FTk4OQkNDER8fj7FjxyIq\nKgrp6ekICAhAYmKi3NE8PYWSW5GRkbIPCFEfzSe3aD65o2ruVOpI/vLly9i7dy+8vb3h5+cHoPIS\nyQULFiAoKAg7d+6ERCLBwYOVNzV5eHggKCgIHh4eMDExwdatW2ss5VR5UfQCt7JuoY9DH6UHQAgh\npHq8P08+pzgHR+4ewcG4gziddBoNjBvgydwnaGzamI+wCCFEp2nkSF5TpIwU7lvckZWfJWsrl5bj\nxIMTeM/jPR4jI4QQw8DrYw2MBEYY6DyQ1U7PslFd1Ykawg2aT27RfPKH92fXjGo3itV27P4x5Jfm\n8xANIYQYFt5r8mUVZbBba4fnRc/l1u8buQ+j243mIzRCCNFZeveoYVNjU4xwHyFbtmpohcl+k+Fq\n7cpjVIQQYhh4PfFaZZz3OJRWlGKU5yj0dewLM2MzvkPSO3QdMrdoPrlF88kfnUjyPdv0RM82PfkO\ngxBCDA7vNXlCCCHK07uaPCGEEM3R+SRfIa3gOwS9QNchc4vmk1s0n/zRiZr8m54VPsPvCb/jYNxB\nNDFrgvDR4XyHRAghekmnavJPC55i3OFxOJt0FhVM5RG8qZEpsj/PhlUjKz7CJIQQnaLXNXnrxta4\n8+SOLMEDQJm0jL7/lRBC6kinkryRwAjve7zPaj8YT8+yqQ3VPLlF88ktmk/+6FSSB4BRnuxn2ZxJ\nOoPnhc8V9CaEEFITnarJA5WPH5aslyA199+vD2zZuCV+H/U7etj30GaIhBCic/TqefKKGAmMEOQZ\nhN2xuzHCfQRGeY5CL0kvmBjpXKiEEKLzdO5IHgBeFb9CY9PGMDU21XJU+oueDcItmk9u0XxyR++P\n5AGgWcNmfIdACCEGQSeP5AkhhCim19fJE0II4ZbeJPms/CxsidpCN0ZVg65D5hbNJ7doPvmjkzX5\nKi+LXuJA3AEciDuA8ynnwYCBv70/hrkN4zs0QgjRCzpdk7+VdQu+23zlt4MAqbNSIWoq0mR4hBCi\nkwyqJu8t9GZ91ysDBr8l/MZTRIQQol90OskLBAIEeQSx2g/EHeAhGt1GNU9u0Xxyi+aTPzqd5AFg\nVDv2s2z+Tv0bqa9SFfQmhBDyOp2uyQMAwzDw3OqJhGcJEDYR4j2P9zDKcxS623eHkUDnf0cRQgin\nNFKTnzRpEoRCIby8vGRty5Ytg1gshp+fH/z8/HDy5EnZupCQELi4uMDNzQ2nTp1SIXw2gUCArwK/\nwl8f/oX02enYPHAz/Nv4U4InhBAlKJUpJ06ciIiICLk2gUCA2bNnIyYmBjExMRgwYAAAID4+HgcO\nHEB8fDwiIiIwffp0SKVStYIc5DoIfRz6wNjIWK3XMWRU8+QWzSe3aD75o1SS9/f3h5UV++v3FP3J\nEB4ejjFjxsDU1BQSiQTOzs6IiopSP1JCCCEqU6vmsWnTJvj4+GDy5MnIyckBAGRkZEAsFsv6iMVi\npKenqxclqRU94Y9bNJ/covnkT52T/LRp05CcnIzY2FjY2dlhzpw51fYVCAR13U2N0nLT8KzwmUZe\nmxBCDEGdH2tgY2Mj+/8pU6Zg8ODBAACRSITU1H8vb0xLS4NIpPju1AkTJkAikQAALC0t4evrK/uN\nX1XDe3PZtYMrfo3/Fd//9j3uPLmDkCkhWNBjQbX968vy+vXrlZo/WlZumeaT22Waz7ovR0ZGYvfu\n3QAgy5eqUPoSypSUFAwePBi3b98GAGRmZsLOzg4AsG7dOly/fh2//PIL4uPjMXbsWERFRSE9PR0B\nAQFITExkHc3X5VHDP936CcFHgsHg3+38bP0QPTVapdcxRJH0pQycovnkFs0nd1TNnUol+TFjxuD8\n+fN49uwZhEIhli9fjsjISMTGxkIgEMDBwQHbtm2DUCgEAKxZswa7du2CiYkJNmzYgP79+6sdKAA8\nfPEQzpucWe33P7kPF2sXlV6LEEL0kUaSvCbU9UtDOm7viJuZN+XaVvZZiS96fsFVaIQQorMM6gFl\niozyZD/m4GDcQR4i0S1VNTzCDZpPbtF88kfvkvz7nu/LLYssRAhwDEBZRRlPERFCiO7Su3INAAw/\nMBz2Te0R5BmEbq270SMOCCH1hsHX5AkhpD4z+Jo8UYxqntyi+eQWzSd/KMkTQogBM6hyTUl5CV6V\nvIJNE5vaOxNCiB6ql+Wa9Nx0fPnXl7Bfb49Zf87iOxxCCNEZep3ks/OzMerXUZBskGDVxVV4UvAE\nh+IOISs/i+/QtI5qntyi+eQWzSd/9DrJN2vYDOeSz6FcWi5rK5OWYduNbTxGRQghukPva/Jf/PUF\nVl9cLddma26LRzMfwczYTO3XJ4QQXVLvavIfd/wYxgL5rwXMys/Cb/G/8RQRIYToDr1P8uKmYoxw\nHyHX1tehL0RNFT/D3lBRzZNbNJ/covnkT52/NESXfNr5U5x4cAIf+nyITzp/Ao+WHnyHRAghOkHv\na/JA5ReK55XmoWmDppy8HiGE6Cp6dg0hhBiwenfilVSimie3aD65RfPJH4NP8i+LXspdR08IIfWJ\nwZZrbmffxuaozdh7ey9+HPYj3vN4T2P7IoQQban3NfkrqVew6K9FiEyJlLX52/vjwsQLnO+LEEK0\nrd7X5IvKi+QSPABcfHwRt7Ju8ROQllDNk1s0n9yi+eSPwSX5PpI+8GzpyWrfFLWJh2gIIYRfBleu\nAYDvbnyHacenybU1NGmItFlpsG5srZF9EkKINtT7cg0AjPMeh2YNmsmWTYxMMNxtOArKCniMihBC\ntM8gk7y5mTkm+02GrbktlvZaisczH+OXkb/Avpk936FpDNU8uUXzyS2aT/4YxLNrFFnSawlCAkLo\nccOEkHrNIGvyhBBiqKgmTwghREapJD9p0iQIhUJ4eXnJ2l68eIHAwEC4urqiX79+yMnJka0LCQmB\ni4sL3NzccOrUKe6jVtOr4ld8h8A5qnlyi+aTWzSf/FEqyU+cOBERERFybaGhoQgMDMT9+/fRt29f\nhIaGAgDi4+Nx4MABxMfHIyIiAtOnT4dUKuU+chUxDIO/kv/C8APDYb/eHjnFObVvRAghek6pJO/v\n7w8rKyu5tqNHjyI4OBgAEBwcjCNHjgAAwsPDMWbMGJiamkIikcDZ2RlRUVEch62aPbf2wOtbL/Td\n0xdH7h5Bbkkufoj5gdeYuNa7d2++QzAoNJ/covnkT51r8tnZ2RAKhQAAoVCI7OxsAEBGRgbEYrGs\nn1gsRnp6upphqudGxg3EPY2Ta9tyfQukDP9/YRBCiCZxcuJVIBBAIBDUuJ5Pn3T+hNX28OVDnHxw\nkodoNINqntyi+eQWzSd/6nydvFAoRFZWFmxtbZGZmQkbGxsAgEgkQmpqqqxfWloaRCLFX6o9YcIE\nSCQSAIClpSV8fX1lf9ZVfSi4WHa1dkWn0k64nn4dcPjfzpOB5T8ux7ur3+V8f3wsx8bG6lQ8+r5M\n88ntMs1n3ZcjIyOxe/duAJDlS1UofZ18SkoKBg8ejNu3bwMA5s2bB2tra8yfPx+hoaHIyclBaGgo\n4uPjMXbsWERFRSE9PR0BAQFITExkHc1r+zr54/ePY9C+QbLlpg2aYpLvJKztvxZGArqSlBCiH1TN\nnUodyY8ZMwbnz5/Hs2fP0Lp1a6xYsQILFixAUFAQdu7cCYlEgoMHDwIAPDw8EBQUBA8PD5iYmGDr\n1q28l2sAYIDLADhZOcHM2AyfdP4E473Hw6KBBd9hEUKIRtWrO17Tc9PRyqKVTvzS4VpkZKTsTz2i\nPppPbtF8ckcjR/KGQtRU8bkBQggxVPXqSJ4QQvQdPbumjgrLCvkOgRBCOFevk3xZRRn239mPt3a+\nhaBDQXyHo5aqS64IN2g+uUXzyZ96VZOvUlRWhP/+/V98d+M7ZOZnAgAEEODhi4dwau7Ec3SEEMKd\nelmTr5BWwHmTM1JyUuTaZ3WdhW/6f8NLTIQQogyqySvB2MgY0ztOZ7XvitmFl0UveYiIEEI0o14m\neQCY3H4yGpk0kmt7VfIKqy+u5iki9VDNk1s0n9yi+eRPvU3yzRs1x3jv8XJtXcVdMcJ9BE8REUII\n9+plTb5KWm4aXDe5QmguRGjfUAR5Bhnk3bCEEMOhau6s10keAC49voSOrTqioUlDvkMhhJBa0YlX\nFfWw72EQCZ5qntyi+eQWzSd/6n2SJ4QQQ1bvyzXVeVLwBBuubsCSXkvQwKQB3+EQQggAegql2orL\ni7H+6nqsubgGeaV5sGpkhc/f+pzvsAghpE6oXPOac8nn0HZzWyw8uxB5pXkAgFUXVuFZ4TOeI6sd\n1Ty5RfPJLZpP/lCSf03LJi2Rlpsm1/aq5BVWnF/BU0SEEKIeqsm/4f/++D98H/29XJuJkQnipsfB\n1dqVp6gIIaQSXUKpphV9VsDczFyurUJagTNJZ3iKiBBC6o6S/BtszW0xv/t82XKAYwBipsZgeif2\nA810CdU8uUXzyS2aT/7Q1TUKzO42GxceXcDMrjMxwHkAPeqAEKK3qCZPCCF6hGryhBBCZCjJ18Hz\nwud8h8BCNU9u0Xxyi+aTP5TkVZD6KhUfHv4QjhsdkZ2fzXc4hBBSK6rJKyGvJA+hl0LxzdVvUFxe\nDACY2mEqvhv0Hc+REULqG3qevAbMPz0fX/39lVybkcAI/3z8DzxtPHmKihBSH9GJVw34/K3P0bRB\nU7k2KSPFvDPzeIqIjWqe3KL55BbNJ3/UTvISiQTe3t7w8/ND586dAQAvXrxAYGAgXF1d0a9fP+Tk\n5KgdKJ9aNmmJxf6LWe0nHpygO2EJITpN7XKNg4MDbt68iebNm8va5s2bhxYtWmDevHkICwvDy5cv\nERoaKr9jPSrXAJWPIHbb7IZHrx4BqHyezfSO07Gk1xJYN7bmOTpCSH2h9Zq8g4MDbty4AWvrfxOd\nm5sbzp8/D6FQiKysLPTu3Rt3795VK1BdsO/2Poz9fSyGuQ1DWEAYPbCMEC17+OIh7jy5g9ySXOSV\n5iGvJA+5Jbno2aYn+jv3Z/VnGAYf/P4BvGy80FXcFZ1EnVjPptI3Wk/yjo6OaNasGYyNjTF16lR8\n9NFHsLKywsuXLwFUTnLz5s1ly3UNVBcwDIPrGdfRWdSZ71BYIiMj0bt3b77DMBg0n9yqbT4ZhsGd\nJ3dwNvksziSdwc4hOyE0F7L6hVwMwaK/FrHa5741F18FfsVqT3yRCJdNLrJlI4ERvGy80KtNL2wY\nsKFug+GZ1r8Z6vLly7Czs8PTp08RGBgINzc3VkCG8uwXgUCgkwmeEH11OOEwfk34FWeTziK74N97\nT/5K/gtjvMaw+r95AUSV3JJche1X067KLUsZKW5l30JDk4YK+xeXF6O4vBiWDS2VHYLOUzvJ29nZ\nAQBatmyJ4cOHIyoqSlamsbW1RWZmJmxsbBRuO2HCBEgkEgCApaUlfH19Zb/tq87G07Jyy1VtuhKP\nvi9XtelKPPq+XNX25vo/8//EL7d/AZL/18mh8j8/hf8Eu+d2rP4WVhaVHd7onxidiEhz9utfKbii\nsL/4hVhhPPmt8jFk3xDYv7SHRwsPjBg4Al3FXZF9JxvGRsa8zF9kZCR2794NALJ8qQq1yjWFhYWo\nqKiAhYUFCgoK0K9fPyxduhRnzpyBtbU15s+fj9DQUOTk5Oj9idfaXHx0EZdTL2NBjwV8h0KITigu\nL8blx5dxJukMPG08Mc57HKvPobhDCPo1iNXeumlrPJr5iFUFOHL3CIYfGM7qP9h1MI6OOcpq77C9\nA6Izo1nt+0buw+h2o1ntX/z1BVZfXM1qt2pohcuTLsO9pTtrnbZptVyTnZ2N4cMrJ7y8vBwffPAB\n+vXrh44dOyIoKAg7d+6ERCLBwYMH1dmNTnvw/AHmn5mPw3cPQwAB3nF+B762vlqP4/WjEqI+ms+6\nSctNw95/9uJM0hlcenwJJRUlAIAOJR0UJvk+Dn0ggAAM5JNWam5qZT3d2kWu3b6ZPQa5DoKFmQWa\nNmgq+291yXfboG24knoFV9Ku4GraVSTnVB7SdxN3U9j/zfJOFU8bT7i1cFO4TtfRHa9qWHpuKdZc\nWoNyabmsra9DX5wef1rr5yEoKXGL5rNurqVdQ9edXVntpo9NkbstV2EtvOpou4FxA/Sw74EAxwAE\nOAbAz9YPxkbGnMaXnZ+N6xnX8a7Lu6yf0QppBSzDLJFfms/a7urkq+gi7sJpLHWl9ROv9ZllQ0u5\nBA8AZ5NLiJk/AAAWKElEQVTP4tj9YxjcdrBWY6GExC2az7rp0KoDmjVohlclr+Tay+zL8Hfq33jb\n4W3WNqv6rIKZsRneav0WGpk20mh8QnMhBrkOUrguKz8LrSxa4f7z+3LtQZ5B1Sb4H2N/hKOVI/zb\n+HMeK1foSF4NpRWl8NjigYcvH8q12zSxQfT/RUPUVMRTZIRoRoW0AicenMDhu4exY8gOGAnYN80P\nPzAcR+4eYbUv7LEQa/qu0UaYanle+BxR6VG4klZZ5tk0YJPCUk1WfhacNzqjoKwAQ9sORVhAGNq2\naKvx+OjZNVpkZmyGsIAwVnvHVh01fkTypqqz8YQbNJ/ynhU+Q9ilMDhtdMKQ/UPwQ+wPOPXwlMK+\nfR36yv7fpokNxnqNxbxW83T+e5KrWDe2xgCXAVjRZwVOjz9dbS1+WeQyFJQVAADC74XDc6snph+f\njicFT7QZbq2oXKOmEe4jEOAYgDNJZyCAACv7rMRC/4UKj3AI0Ucrz6/E6ourZSdRq2y5vgXvOL/D\n6j/IdRDKpeUIcAyAZ0tPCAQCREZGQtxUrK2QNS7haQJ2RO+Qa6tgKvDtjW/xtPApDr1/iKfI2Khc\nw4Gs/Cz039sfa/utRYBjAN/hEMKpHdE78NEfH7HaBRDg4WcP4WDlwENU/JpxcgY2Rm1ktWvjEeRU\nruGBrbktYqbGUIInek3RVSUAMNZrrMI7QBkwlTcy1UPf9P8GPwz9Aa0sWsm1T/KdpHPfMUFJniM1\nlWdKyktQWFao0f1TDZlb9Wk+YzJjMGz/MDhvdJZ989nrGps2xkTfibJlAQR41+VdnBh7Agv9Fyq1\nD0ObT2MjY0zwnYAHnz7Aqj6rYGFmgcamjbGizwqF/ZNfJmPQL4NwK+uWliOlJK9xqa9S0Wt3L3z0\nx0cGU54ihuHOkzsYeXAk2m9vj/B74cguyMahOMW15Gkdp8G6kTXmvjUXiZ8l4tjYYxjgMqDen3tq\nbNoYi3suRuJniTj43kHYWdgp7Lf4r8U4/uA4/Lb5IfRSqFZzAdXkNej0w9MY89sYPC96DgDYMnCL\n3lxhQAzbnD/nYN3Vdaw7TbuIuuDqFMV3fZZVlMHU2FQb4RmUGxk30On7TnJtc9+ai7CAsDrdNEk1\neR3x38v/Rf+9/WUJHgBmRszEtbRrPEZFSCXn5s6sBA8A19Kv4WbGTYXbUIJXHcMw+PzU56z2//79\nX0w7Pg0V0gqNx0BJXkPsLOxYP0Rl0jK8f+h9PCt8xvn+DK3myTdDn8/J7SejTbM2rPbWTVvLPfKX\nK4Y+n9V5UvAEqbmpCtdFJEbIHQRqCiV5DRnnPQ7TOk5jtafmpmLbjW08RETqm8y8TCw9txRlFWWs\ndWbGZljSa4lsWWQhwrfvfovEzxIx0GWgNsM0aEJzIRL+k4BPO38q125rboszH56BTRPFj2HnEtXk\nNaikvAT+P/jjesZ1AJVX4IT0DcHct+YazBepEN3ztOApwi6HYcv1LSguL8aOwTswuf1kVr9yaTn6\n/NgH77m/h6kdp1b7RRpEfQzDYGnkUqy8sBJWDa1wfsJ5eAm96vRaWv/6v7qqD0keAB7lPEL77e1h\namSK/e/tR29Jb75DIgbqRdELfP3319h4baPsdnug8vG89z+5jwYmDVjbMAxDBxxatOHqBnRr3U2t\nb5ijE686po1lGxwdfRTRU6M1muDra81TU/RxPs8mnUXIpRC5BA8Aj189xs6YnQq30VaC18f51IQZ\nXWdUm+AZhsG6K+uQlZ/F6T4pyWtBd/vurDvjCOHaSI+R8BZ6K1y38drGevGXsz5bfXE1Zp+aDf8f\n/PEo5xFnr0vlGp49ynmEQ/GH8Plb7MusCFFEykjBMIzCL9QIvxuOYQeGyZYbmTTCp50/xdzuc9Gi\ncQtthklUsPHaRsyImCFbFjcVV/sETCrX6JGTD06i/fb2mHt6Lvbc2sN3OEQPnEk6g47bO2L7ze0K\n1w9pOwQdW3VEA+MGmNFlBpJmJCEsMIwSvA7bc2uPXIIHKr9GsecPPRGTGaP261OS50GFtAJLzi3B\nu7+8ixdFLwAAHx/7GLezb9f5NanmyS1dm89/sv/BgJ8HIPCnQMRkxWDZ+WXIK8lj9RMIBNg5ZCcS\nP0vE+nfWw9bclodo2XRtPnWJWws3NG/UnNX+tPApPj7+sdoVD0ryPPjj/h9YeWGl3M1SReVFGHlw\nJF4Vv6phS1LfFJQWYGL4RPh+54uIxAhZ+5OCJ/j6768VbuMt9DaoZ7cbus6izjg/4TzszOWfe2Pf\nzB6/vv+r2ifHqSbPA4ZhMP7wePx8+2fWuhHuIzh5Y4lhYBgGXXZ0kd1r8brGpo3x4NMHdFLfQDx8\n8RABPwUgJScFwiZCXJx4ES7WLqx+VJPXAwKBANsGbYNnS/nnThsLjNG9dXeeoiK6SCAQ4Ot+io/Y\nPVp64GXRSy1HRDTFqbkTLk28hO6tu+PU+FMKE3xdUJLnSROzJvgt6DdYmFkAAOzM7XAu+Bxmd5td\np6N4qnlyS9vzyTAM7j+/r3BdzzY9MaTtENmyg6UD9o/cj2tTruncF1RUhz6fyhE1FeHixIvVXgpb\nl+oHJXketW3RFruG7kJvSW9ET42Gfxt/vkMiPLj0+BK67eyGTt93qvbhdaF9Q2HTxAbr+69Hwn8S\nMKrdqHr/LHdDVd1BHsMwWHBmgeqvRzV5/kkZabU/sHTbueG69+weFpxdgCN3j8jaZnSZgfXvrFfY\nv6S8ROGjCUj9sObiGiz+azGwTLUjejoU0AE1JfhJRydh7d9r6Reigdl2Yxs8t3rKJXgA2Hp9Kx6+\neKhwG0rw9dfmqM2VCb4OKMnrsFUXVmF37G58fvpzTDs+DeXS8mr7Us2TW5qezx72PSBlpKz2MmkZ\nFv21SKP75gN9PuuOYRjEZsUCAKZ2mKry9pTkddTP//yMJZH/Pu97281tGPTLIOSW5PIYFeGKp40n\nxnmPY7V72Xhhku8kHiIiukogEGD74O34afhP2PruVtW3p5q87rmVdQudd3RGaUUpa52XjRcixkXQ\ntdF6oKisCFuub8Ewt2Fwbu7MWp/8MhltN7dFmbQMIgsRVr29CuO9xyt8Jg0hVXTmOvmIiAi4ubnB\nxcUFYWFhmtqNQWpn0w4fd/hY4TpTY1M0bdBUyxERVZRVlOG7G9/BeZMz5p6ei6WRSxX2c7BywOdv\nfY41b6/B/U/vY4LvBErwhHMaOZKvqKhA27ZtcebMGYhEInTq1An79u2Du7v7vzumI/labby2EbP+\nnCWr3YqbinFtyjWFR/GRkZHo3bu3liM0XHWZzwppBfbf2Y8lkUuQ9DJJ1i6AALEfx1Z77XN9QJ9P\n7ujEkXxUVBScnZ0hkUhgamqK0aNHIzw8XBO7MmifdfkM4aPD0cS0CczNzHFszDEq0+iwzPxMTDo6\nSS7BAwADBl+e+5KnqEh9p5Ekn56ejtatW8uWxWIx0tPTNbErgzfIdRAuTryI34J+g4+tj8I+RWVF\n6NGzh5YjM2x1OeoUNxUr/PJ2ADh2/xgr+dcndBTPH40kebp5h1t+dn7o59RP4TopI8UHv3+AwfsG\n05U3WlRSXqKwfZH/IjQxbSLX9p7He7gz7Q4crRy1ERohckw08aIikQipqamy5dTUVIjF7EefTpgw\nARKJBABgaWkJX19f2W/8qutqabnm5eOlx3H47mHgCuB30w+RSyPRullrnYlPX5fXr1/P+jwyDAOB\ngwBrr6zFkztPEBYYpnD7WV1nYdWeVegk6oRv//MtOrTqgMjISGQjW2fGpwvzqUvx6fJyZGQkdu/e\nDQCyfKkKjZx4LS8vR9u2bXH27Fm0atUKnTt3phOvGrDtxjZ8fPx/V+EkA3CofNDZsbHH0N6uPa+x\n6bvI104UllaUYv+d/Vh3dZ3sphQAOD/hPHq26cna9lXxK8RmxaKXpJe2wtV5r88nUY+quVNj18mf\nPHkSM2fOREVFBSZPnoyFCxfK75iSvFrSctPgtNFJ4bX0jU0b41zwuWq/FZ6oJmBPAM4mn2W1d2/d\nHRcnXqTyJNEqnUnyte6Ykrzajt47ijG/jUFhWaFce/fW3XHmwzNoaNKQp8gMy47oHfjoj48Urjs+\n9jgGugzUckSkPtOJSyiJdgxpOwQXJlyo/Nqw5Mo2JysnHBl9hBK8ihiGQUpOimy5qiYKAB94fYCW\njVuytrFvZo+yijItRKf/Xp9Pol2U5PVch1YdcG3KNTg2d4RVQyuc+OAEWjRuwer3ougF9t3ehwpp\nBQ9R6q7i8mLsiN4Br2+90GVHFxSXF7P6NDJtJHdpZBdRF+wfuR8PP3uIoW5DtRkuISqjco2ByCvJ\nQ+KLRPjZ+SlcvzxyOZadXwbn5s5Y0H0BxvuMh5mxmZaj1B3Z+dnYen0rvr3xLZ4WPpW17xqyCxP9\nJirsP/PPmfis82fo1rqbNkMlRA7V5AlLXkke2qxvg5fF/34fqLipGHPfmosp7aegsWljHqPjxzt7\n38GfD/9ktXvZeOHWx7foZCrRWVSTr6dqqnluu7lNLsEDlVfnzIiYgbgncRqOTDd90vkThe23n9zG\n2eSzVEPmGM0nfyjJG7iS8hKsvbJW4bp+Tv3QSdRJyxFpXm5JLg7FHcKHhz9E+23tFR71DHQZCFdr\nV1a7v70/Gpk00kaYhGgFlWvqgYuPLmL1xdWs8kRkcKTCG3ay87MhZaSws7DTVohqYxgGW65vQfi9\ncJxPOY8y6b9XvcRMjYGvrS9rm63Xt+I/J/4DEyMTjPIchVldZ6FDqw7aDJsQlVG5hrD4t/FHxLgI\nXP/oOoa5DQNQeS29ors1AWDF+RVw2OCA6ceny11WqMsEAgF+vv0zziSdkUvwAPDHvT8UbhPsE4wv\ne36JlBkp2DtiLyV4YpDoSN5AqHLbeNyTOJRUlCh89EFmXiYcNjigpOLfB3B5C70xynMUFvnz+92j\nuSW5+DPxT7i1cIOX0Iu1fvWF1fji3Bes9k6tOiHqoyiV9kW34XOL5pM7quZOjTygjOg2TxvPatd9\nc+UbuQQPAP9k/4MerRU/yvjS40s4+eAk3Fu6w72FO9xauKGJWROFfVX1vPA55p6ei4y8DGTmZyLh\naQLKpGWY0WUG1r+zntV/cNvBCpN8/NN4vCp+hWYNm3ESFyH6hI7kiczzwudos74NCsoKWOs2Ddik\n8IqUJeeWYOWFlXJtbZq1wbzu8zC903S59uLyYmy/uR2ZeZnIyM+o/G9eBkorSnH/0/us184tyUWz\nUHZidrRyROKniazLHBmGgWSDBI9fPYbIQoRBroMw2HUw3nZ4G41M6WQqMQx0JE/qzNjIGJ91+Qxb\nrm9hPZveo6WHwm0SniWw2h69eqSwr5HACDMiZihcV1pRyro5y8LMAk1Mm7B+6SS9TMLdZ3fh3tJd\nrl0gEODbd7+Frbkt/Gz96Fp3QkAnXg0GF9chWza0xJq+a/Bo5iOs6rMKIguRbJ17C3eF2yQ8ZSf5\n6vqbGZspfAYMAGTlZ7HaBAJBtVf4/HFf8cnUgS4D0d6uvdoJnq7r5hbNJ38oyRMWy4aWWNxzMVJn\npSJ9djrOfngWtua2rH7l0nLcf84uswBgHWVXqS5pZ+ZlKmx/8zttW1m0wtQOU9HDnr7ukBBlUE2e\n1FlxeTF+/udnJDxLQPzTeCQ8S0BKTgqsGlrh+bznCo+mB/w8ABGJEaz234N+x3D34az20w9Po6i8\nCHbmdmhl0QqtLFpRGYbUa/TsGsKrwrJCpOWmKbybFAD23NqDpJdJaGXRSpa47SzsYNPEBiZGdIqI\nkNpQkq+n6DpkbtF8covmkzt0xyshhBAZOpInhBA9QkfyhBBCZCjJGwi6DplbNJ/covnkDyV5Qggx\nYFSTJ4QQPUI1eUIIITKU5A0E1Ty5RfPJLZpP/lCSJ4QQA0Y1eUII0SNUkyeEECJT5yS/bNkyiMVi\n+Pn5wc/PDydPnpStCwkJgYuLC9zc3HDq1ClOAiU1o5ont2g+uUXzyZ86J3mBQIDZs2cjJiYGMTEx\nGDBgAAAgPj4eBw4cQHx8PCIiIjB9+nRIpVLOAiaKxcbG8h2CQaH55BbNJ3/UKtcoqguFh4djzJgx\nMDU1hUQigbOzM6KiotTZDVFCTk4O3yEYFJpPbtF88ketJL9p0yb4+Phg8uTJsjcxIyMDYrFY1kcs\nFiM9PV29KAkhhNRJjUk+MDAQXl5erH9Hjx7FtGnTkJycjNjYWNjZ2WHOnDnVvg59k4/mpaSk8B2C\nQaH55BbNJ48YDiQnJzPt2rVjGIZhQkJCmJCQENm6/v37M1evXmVt4+TkxACgf/SP/tE/+qfCPycn\nJ5Xyc52/by0zMxN2dpVfynz48GF4eXkBAIYMGYKxY8di9uzZSE9Px4MHD9C5c2fW9omJiXXdNSGE\nECXVOcnPnz8fsbGxEAgEcHBwwLZt2wAAHh4eCAoKgoeHB0xMTLB161Yq1xBCCE94u+OVEEKI5mn9\njtdDhw7B09MTxsbGiI6OlltHN1Gp580b1CIiIvgOSe9ERETAzc0NLi4uCAsL4zscvSeRSODt7Q0/\nPz+FZVtSs0mTJkEoFMrK4QDw4sULBAYGwtXVFf369av98lR1TrjWRUJCAnPv3j2md+/ezM2bN2Xt\ncXFxjI+PD1NaWsokJyczTk5OTEVFhbbD02vLli1j1q5dy3cYequ8vJxxcnJikpOTmdLSUsbHx4eJ\nj4/nOyy9JpFImOfPn/Mdht66cOECEx0dLbuwhWEYZu7cuUxYWBjDMAwTGhrKzJ8/v8bX0PqRvJub\nG1xdXVntdBMVNxiqvtVZVFQUnJ2dIZFIYGpqitGjRyM8PJzvsPQefSbrzt/fH1ZWVnJtR48eRXBw\nMAAgODgYR44cqfE1dOYBZXQTFTcU3aBGlJOeno7WrVvLlukzqD6BQICAgAB07NgR33//Pd/hGITs\n7GwIhUIAgFAoRHZ2do3963x1TU0CAwORlZXFal+zZg0GDx6s9OvQVTls1c3t6tWrMW3aNCxZsgQA\n8OWXX2LOnDnYuXOntkPUW/R5497ly5dhZ2eHp0+fIjAwEG5ubvD39+c7LIMhEAhq/dxqJMmfPn1a\n5W1EIhFSU1Nly2lpaRCJRFyGZRCUndspU6ao9AuVsD+Dqampcn9dEtVV3UvTsmVLDB8+HFFRUZTk\n1SQUCpGVlQVbW1tkZmbCxsamxv68lmter9UNGTIE+/fvR2lpKZKTk6u9iYpULzMzU/b/r9+gRpTT\nsWNHPHjwACkpKSgtLcWBAwcwZMgQvsPSW4WFhcjLywMAFBQU4NSpU/SZ5MCQIUPw448/AgB+/PFH\nDBs2rOYNNHdeWLHff/+dEYvFTMOGDRmhUMi88847snWrV69mnJycmLZt2zIRERHaDk3vjR8/nvHy\n8mK8vb2ZoUOHMllZWXyHpHdOnDjBuLq6Mk5OTsyaNWv4DkevJSUlMT4+PoyPjw/j6elJ81kHo0eP\nZuzs7BhTU1NGLBYzu3btYp4/f8707duXcXFxYQIDA5mXL1/W+Bp0MxQhhBgwnbm6hhBCCPcoyRNC\niAGjJE8IIQaMkjwhhBgwSvKEEGLAKMkTQogBoyRPCCEGjJI8IYQYsP8HMhhen0Sb4bYAAAAASUVO\nRK5CYII=\n", "text": [ "" ] } ], "prompt_number": 17 } ], "metadata": {} } ] }