{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "import numpy as np\n", "import tensorflow as tf\n", "import matplotlib.pyplot as plt\n", "from matplotlib import animation\n", "import seaborn\n", "import math\n", "seaborn.set(color_codes=True)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "def gaussian_funiction_single(x, mu=0 ,sigma=1):\n", " return math.exp(-1*(x-mu)*(x-mu)/2/sigma/sigma)/sigma/math.sqrt(2*math.pi)\n", " \n", "def gaussian_funiction(x, mu=0 ,sigma=1):\n", " if type(x) == list:\n", " x = np.array(x)\n", " if type(x).__module__==np.__name__:\n", " a = np.zeros(len(x))\n", " for i in range(len(x)):\n", " a[i] = gaussian_funiction_single(x[i],mu,sigma)\n", " return a\n", " else :\n", " return gaussian_funiction_single(x, mu, sigma)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "class DataDistribution(object):\n", " '''\n", " The distribution of real data\n", " '''\n", " def __init__(self, mu = 2, sigma = 0.5):\n", " self.mu = mu\n", " self.sigma = sigma\n", " \n", " def sample(self, N):\n", " samples = np.random.normal(self.mu, self.sigma, N)\n", " samples.sort() #sort the elements in samples\n", " return samples\n", "\n", "class GeneratorDistribution(object):\n", " '''\n", " The distribution of z\n", " '''\n", " def __init__(self, range_):\n", " self.range = range_\n", "\n", " def sample(self, N):\n", " samples = np.random.uniform(low = -self.range, high = self.range, size= N)\n", " samples.sort()\n", " return samples" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "image/png": 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IpP3YlBwjJuGqqips3LgRANDU1ASr1Zpoir7gggvw1ltv4aWXXsITTzyByspK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\nRej77DNEfL6RN6CUYRImouOaFInA88l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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.linspace(-8, 8, 100)\n", "d = DataDistribution(4, 0.5).sample(100000)\n", "pd, _ = np.histogram(d, bins=bins, density=True)\n", "g = GeneratorDistribution(8).sample(100000)\n", "pg, _ = np.histogram(g, bins=bins, density=True)\n", "p_x = np.linspace(-8, 8, len(pd))\n", "plt.plot(p_x, pd, 'r-', label = 'Distribution of real data')\n", "plt.plot(p_x, pg, 'b-', label = 'Distribution of z')\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "def clip(x, vmin = 1e-7, vmax = 1.- 1e-7):\n", " return tf.clip_by_value(x, clip_value_min=vmin, clip_value_max=vmax)\n", "\n", "def linear(x, output_dim, scope=None, stddev=1.0):\n", " XAVIER = tf.contrib.layers.xavier_initializer()\n", " CONST = tf.constant_initializer(0.0)\n", " with tf.variable_scope(scope or 'linear'):\n", " w = tf.get_variable('w', [x.get_shape()[1], output_dim], initializer=XAVIER)\n", " b = tf.get_variable('b', [output_dim], initializer=CONST)\n", " return tf.matmul(x, w) + b\n", "\n", "def lrelu(x, leak=0.2):\n", " '''\n", " a kind of leaky relu\n", "\n", " input : \n", " x - some kind of tensor or array or number\n", " leak - float\n", " return :\n", " x > 0 => x\n", " x < 0 => 0.5*(1+leak)x + 0.5*(leak-1)x = leak*x\n", " '''\n", " f1 = 0.5 * (1 + leak)\n", " f2 = 0.5 * (1 - leak)\n", " return f1 * x + f2 * tf.abs(x)\n", "\n", "def generator(x):\n", " h0 = lrelu(linear(x, 10, 'g0'))\n", " h1 = linear(h0, 1, 'g1')\n", " return h1\n", "\n", "def discriminator(x):\n", " h0 = lrelu(linear(x, 20, 'd0'))\n", " h1 = lrelu(linear(h0, 20, 'd1'))\n", " h2 = tf.nn.sigmoid(linear(h1, 1, scope='d2'))\n", " return h2\n", "\n", "def optimizer(loss, var_list, initial_learning_rate):\n", " learning_rate = tf.Variable(initial_learning_rate, trainable= False)\n", " optimizer = tf.train.AdamOptimizer(learning_rate).minimize(\n", " loss,\n", " var_list = var_list\n", " )\n", " return learning_rate, optimizer\n", "\n", "def change_var(sess, x, discount):\n", " new_var = sess.run(x)*discount\n", " sess.run(tf.assign(x, new_var))" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "class GAN(object):\n", " def __init__(self, data, gen, batch_size):\n", " self.data = data\n", " self.gen = gen\n", " self.batch_size = batch_size\n", " self.learning_rate = 0.01\n", " \n", " self._create_model()\n", " self.sess = tf.Session()\n", " self.sess.run(tf.global_variables_initializer())\n", " \n", " def _create_model(self): \n", " with tf.variable_scope('Gen'):\n", " self.z = tf.placeholder(tf.float32, shape=(self.batch_size, 1))\n", " self.G = generator(self.z)\n", "\n", " with tf.variable_scope('Disc') as scope:\n", " self.x = tf.placeholder(tf.float32, shape=(self.batch_size, 1)) \n", " self.D1 = discriminator(self.x)\n", " scope.reuse_variables()\n", " self.D2 = discriminator(self.G)\n", "\n", " self.loss_d = tf.reduce_mean(-tf.log(clip(self.D1)) - tf.log(clip(1 - self.D2)))\n", " self.loss_g = tf.reduce_mean(-tf.log(clip(self.D2)))\n", "\n", " self.d_params = tf.get_collection(\"trainable_variables\", scope='Disc')\n", " self.g_params = tf.get_collection(\"trainable_variables\", scope='Gen')\n", "\n", " self.d_lr, self.opt_d = optimizer(self.loss_d, self.d_params, self.learning_rate)\n", " self.g_lr, self.opt_g = optimizer(self.loss_g, self.g_params, self.learning_rate)\n", " \n", " def train(self, nsteps, log_every):\n", " for step in range(nsteps):\n", " # update discriminator\n", " x = self.data.sample(self.batch_size) # sample from original data\n", " z = self.gen.sample(self.batch_size) # sample from random\n", " loss_d, _ = self.sess.run([self.loss_d, self.opt_d], {\n", " self.x : np.reshape(x, (self.batch_size, 1)),\n", " self.z : np.reshape(z, (self.batch_size, 1))\n", " })\n", "\n", " # update generator\n", " z = self.gen.sample(self.batch_size)\n", " loss_g, _ = self.sess.run([self.loss_g, self.opt_g], {\n", " self.z: np.reshape(z, (self.batch_size, 1))\n", " })\n", "\n", " if step % log_every == (log_every-1):\n", " print('{}: \\t discriminator error{}\\t generatore error{}'.format(step+1, loss_d, loss_g))\n", " change_var(self.sess, self.d_lr, 0.7)\n", " change_var(self.sess, self.g_lr, 0.7)\n", " self._plot_distributions()\n", " \n", " def _samples(self, num_points=10000, num_bins=50):\n", " '''\n", " pd : a histogram of samples from the data distribution,\n", " pg : a histogram of generated samples.\n", " '''\n", " xs = np.linspace(-self.gen.range, self.gen.range, num_points)\n", " bins = np.linspace(-self.gen.range, self.gen.range, num_bins)\n", "\n", " # data distribution\n", " d = self.data.sample(num_points)\n", " pd, _ = np.histogram(d, bins=bins, density=True)\n", "\n", " # generated samples\n", " zs = np.linspace(-self.gen.range, self.gen.range, num_points)\n", " g = np.zeros((num_points, 1))\n", " for i in range(num_points // self.batch_size):\n", " g[self.batch_size * i:self.batch_size * (i + 1)] = self.sess.run(self.G, {\n", " self.z: np.reshape(\n", " zs[self.batch_size * i:self.batch_size * (i + 1)],\n", " (self.batch_size, 1)\n", " )\n", " })\n", " pg, _ = np.histogram(g, bins=bins, density=True)\n", "\n", " return pd, pg\n", "\n", " def _plot_distributions(self):\n", " pd, pg = self._samples()\n", " p_x = np.linspace(-self.gen.range, self.gen.range, len(pd))\n", " f, ax = plt.subplots(1)\n", " ax.set_ylim(0, 1)\n", " plt.plot(p_x, pd, 'r-',label='real data')\n", " plt.plot(p_x, pg, 'g-',label='generated data')\n", " plt.title('1D Generative Adversarial Network')\n", " plt.xlabel('Data values')\n", " plt.ylabel('Probability density')\n", " plt.legend()\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "model = GAN(\n", " data = DataDistribution(mu = 4, sigma = 0.5),#data\n", " gen = GeneratorDistribution(8), #gen\n", " batch_size = 100\n", ")" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1000: \t discriminator error1.411545991897583\t generatore error0.738340437412262\n" ] }, { "data": { "image/png": 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4i4h0cK0deVtSa4K3s6Q2eBdUFvHRoU/pFpvG2X2nkBKdBIDVptF3JFLwFhHp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\nQmWkeAshhBAqI8VbCCGEUJn/A2Ms50dBIN56AAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "2000: \t discriminator error1.40688157081604\t generatore error0.5745847821235657\n" ] }, { "data": { "image/png": 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dxWqW7Gz9sYzpMwBJQtW7RWzacgph8CYiMqB4LVgLb+btKHcVq1myc/THLFlZ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\nuLg4srKyiI6OBmDp0qXo9Xr0ej3Tp0+noqKi3vsuWrSoXj/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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "3000: \t discriminator error1.3494755029678345\t generatore error0.6371196508407593\n" ] }, { "data": { "image/png": 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MG3kPHz4cgwcPxowZMyAIAhYsWIC8vDzEx8dj0qRJuOmmmzBz5kxYLBYMGzYM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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "4000: \t discriminator error1.3641374111175537\t generatore error0.7448430061340332\n" ] }, { "data": { "image/png": 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frxoTs0lFsZg0p5c6bVizHQVvEZFeIlxbQ6S2FveAAQBkHT4RMxBg76cfAU1r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\nli3jvffew8nJCW9v74eudI+MjCQmJoaoqKgat6/FxMSwf/9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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "5000: \t discriminator error1.3987526893615723\t generatore error0.755598247051239\n" ] }, { "data": { "image/png": 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fxGJoq7wLOjyuSWvRp+QtIpIAAt3mli4qb8NkInXceNw1NbgqKiIWw4EbtATk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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "6000: \t discriminator error1.3642988204956055\t generatore error0.7672082781791687\n" ] }, { "data": { "image/png": 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ekydP5vDDD2fBggUYhsHixYspKioiIyOD2bNnc+GFF3LuueditVqZNGkSxxxz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\no6NJSkoiNjYWs9nMvHnzHN6nlEcVQgghFEaZH3OEEEKI+5g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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "7000: \t discriminator error1.3534724712371826\t generatore error0.6544069647789001\n" ] }, { "data": { "image/png": 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G3O6mKaPPPvuMAw44IF5NERFJSg2dTNACrQqTaNp8nxS3kfe4ceMYPXo0s2fP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\nAXBV1WI1NtLn+ClJcTzs+0zDxOf3xvUZPQ8ehTO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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "8000: \t discriminator error1.3849014043807983\t generatore error0.7062402367591858\n" ] }, { "data": { "image/png": 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aCgsLyczMBKBfv35s3LiRhobgxgFffPEFgwcPjlRTREQSlhWw+LL8a3JTc+ib\n0fug3x86WUxj3sklYpX3+PHjGT16NHPmzMEwDObPn09JSQlZWVlMnz6diy66iPPOOw+n08m4ceM4\n9thjI9UUEZGE9V31Nmq9dZzY5zh7iVjDd1todPQBwm+RGpqwptnmySWiY97XXntti++bd4vPmTOH\nOXPmRPLjRUQSXugUsdCuapbHw9bbF1J5xOH0vuq6sO/XhLXkpB3WRETi2Jd71+MwHAzPOwwAb1kp\nAY+Hfeu+xN+0/LYj6XZ4a3/zZKLwFhGJUzXeWjbv28qQ7EH22LW3LLjkFsui9ovPwl7D6XCS4kxR\nt3mSUXiLiMSpr8q/IUCAUT3276rmbdovA6D2s/DhDcHqWxPWkovCW0QkTq1rGu8e3VZ4OxzUfvE5\nAb8/7HXSTbcq7ySj8BYRiUNWwGJd+XqyUjLpl9nHfjzUbd7jB8dj1dXS8O3GsNdym2nU+xqwAlbE\n2ivRpfAWEYlD22p2UO2pYVT+cBzG/n+qvaWlONxuCqdMBqDms0/DXivd5SZAgEZ/Y8TaK9Gl8BYR\niUPr9n4N0GK8OxAI4C3dg6tnATljj8QwTWo7Ed72cjGvZpwnC4W3iEgcWrf3KwwMRuQfbj/mr64m\n4PHgKijAmZaGe8RIPNu34d27t8Nraa138lF4i4jEmTpvPZv2fcfg7AFkujLsx72lewBw9QyeE5E5\n9igAaj/vuPoOrfXWpLXkofAWEYkzX1V8gxWwWnSZw/7Jaq6mQ54yQuEdpus8PXSmt8I7aSi8RUTi\nzJf2lqgHhHdpy/B29SwgpW9f6r76Esvjafd6blc6APVa6500FN4iInEkEAiwrvxrMl0ZDMzq3+I5\nO7x7FtqPZRx5FAGPh/r1X7V7zXQdTpJ0FN4iInFkR+0uKhurGJl/RIslYtDUbW4YmD162I+Fus47\nWjKmCWvJR+EtIhJHvq4IbroyMv+IVs95S0sxc/NwuFz2Y+5hh+Fwu6n97BMCgUCb19ThJMlH4S0i\nEkdqvbUA5KfltXg84PPhqyi3x7tDDNMkffSR+PbuxbNjR5vXdGu2edJReIuIxBGP3wtAitPV4nHv\n3jIIBOxlYs1lhpl1HjqRTIeTJA+Ft4hIHPFYofBOafH4gTPNm0s/8kgwjHbXe6c6UzAwVHknEYW3\niEgc8YYqb8cBlXcH4W1mZZM2ZAj1G77BX1vb6nmH4cBtpmnCWhJReIuIxBGPFVyv7Tqw29zeoKWw\n1XsguGSyu5kqAAAgAElEQVQMy6Ju7RdtPh88FlQT1pKFwltEJI542qu8Q+Hds2eb77OXjLXTde52\nuVV5JxGFt4hIHAmNebva6DY3UlJwZue0+b7UgYNw5uRS9/nnBKzW53anm248fg9+y9/1jZaoU3iL\niMQRr9+DaThxOpz2Y82PAjUMo833GYZBxpFj8ddU07Dp21bPa6OW5KLwFhGJIx7Li+uAmeZWbS1W\nfX2bk9Way+jglDEdTpJcFN4iInHE6/e2Md5dBrQ907y5jFGjwOmk9rPPWj3ndmmjlmSi8BYRiSPB\nyvvA8G55jnd7HGlu0o8YQeN3W/BVVrR4zj7T26sZ58lA4S0iEkc8fk/7a7zDhDdAxlGh3dZaVt/7\n9zev64pmSowpvEVE4ojH8nawu1rba7ybyziy7SVjbh1OklQU3iIiccIKWPgsXweVd9trvJtL6dUL\nV6/e1K1bi+X12o+7Q2d6a3/zpKDwFhGJE+0eSlK2B2dODo7U1E5dJ33UaAKNjXi2b9v/mCsd0Gzz\nZKHwFhGJE97QBi3Nus0Dfj/e8vJOjXeHhCp0X0W5/VhoqZhmmycHhbeISJxoa2tUX0U5+P0HF955\n+QB4K/bPONcmLclF4S0iEie8bRxK0tFpYu0x8/IA8DULb3upmCasJQWFt4hInGir8j6k8M5tCu9m\na71dThemw1TlnSQU3iIicSJ0KEnzpWLhjgJtizM3F2hZeUPTsaCabZ4UFN4iInHC4w92m7eovMs6\nv0FLiMPlwpmV1Sq83aaOBU0WCm8RkTjRZuVdWophmphN1XRnmbl5+CorCAQC9mPpZhp1vvoWj0li\nUniLiMQJrz90lre5/7HSUswePTEcB/fPtZmXR6CxEat+f6XtdrmxApb9R4IkLoW3iEic8DTNNg9V\n3v76evw11Qc1WS2k4xnn6jpPdApvEZE4ceBsc1/Zwc80D2lrxrl9OIkmrSU8hbeISJywu82bKm/P\nQZwmdiCzaaMWnzZqSUoKbxGROGF3mx9YeR9SeIe6zfdvkerWFqlJI2x433333WzevDkKTRER6d4O\nPJjEcwgbtIS02W3uUrd5sjDDvSAnJ4drrrmG9PR0zjzzTGbMmEFqJ0+2ERGRzrMPJmmqvL3fq9u8\n9YQ1t7ZITRphw/viiy/m4osvZuvWrbzyyiucf/75jBgxgnPPPZdhw4ZFo40iIt3C/so7OObtLduD\nIzMTZ3r6QV/L4XZjpKa2Odu8zlfXBa2VWOr0mPeuXbvYsmULtbW1ZGRkcMMNN/CPf/wjkm0TEelW\n9i8VcxGwLHxlZYdUdQMYhmFv1BKiw0mSR9jKe8mSJbzwwgsMHjyY2bNnc8stt+B0OvF4PMyaNYtz\nzjknGu0UEUl6zZeK+aqqCPh8pBzCeHeImZdH/e5dWF4vDpdr/2xzjXknvLDhXVZWxmOPPUa/fv3s\nx7Zu3cqAAQO49tprI9o4EZHuxNNszLuxdAsA5iFW3rB/3NtfWYmjoMCesKbZ5omvw25zy7LYuHEj\nffv2xbIsLMvC4/Fw6aWXAnDSSSdFpZEiIt2B1+/BNJw4Hc5DOgr0QAfOOA8tFdM678TXbuX90ksv\nsXjxYrZs2cLIkSPtxx0OB5MmTYpK40REuhOP5cXVtEwsdJpYykEcBXog1wEzzh2GgzRnmsI7CbQb\n3jNnzmTmzJksXryYK664IpptEhHplrx+r71Bi7d0D3Boy8RCQt3m3gM2atGEtcTXbni/9dZbTJ48\nmd69e/Pss8+2en7WrFkRbZiISHcTrLyblomVloLDgZmff8jX299tXmk/lu5yU95Q0d5bJEG0G97r\n169n8uTJrFmzps3nOxPeixYt4tNPP8UwDObNm8fYsWPt53bu3MlvfvMbvF4vo0aN4pZbbjmE5ouI\nJA+P32Mv5/KWleHK74HhdB7y9dra3zzddLPdtxMrYOEwtEN2omo3vOfOnQvAbbfdRiAQwDAMPB4P\ne/fupU+fPmEv/MEHH7BlyxaefvppNm7cyLx583j66aft52+//XYuvPBCpk+fzs0338yOHTvo27dv\nF9ySiEhi8lheUpwpWI2N+KsqSR056ntdz5mdDQ7HAfubB/84aPA1kO46+M1fJD6E/bPrkUce4e9/\n/zsNDQ2cfvrpXHnllfzpT38Ke+FVq1Yxbdo0AIYNG0ZVVRU1NTVAcBb76tWrmTp1KgDz589XcItI\nt2YFLHyWjxSHC+/eMuD7zTQHMBwOzJzcto8F1aS1hBZ2nfeKFSt48sknef7555kyZQrXXXcd5513\nXtgLl5WVMXr0aPv7/Px8SktLyczMpLy8nIyMDG677TbWrl3LscceyzXXXNPh9fLy0jHNQ+8+aktB\nQVaXXi+WdC/xKVnuJVnuA+L3Xhp8jQBkuN2ke4KFTu6g/h22tzP3srOwJzUbv6VnjwwMh4P87GzY\nBamZDgry4+dnEa+/l4MVrfsIG96maWIYBitXrrRD27Ksg/6gQCDQ4uvdu3dz3nnn0a9fP+bOncub\nb77JySef3O77Kyq6di/egoIsSkuru/SasaJ7iU/Jci/Jch8Q3/dS3RTY+AzKNnwHgCc9p932dvZe\nApnZBHw+dn27AzMnB7zBImhH6V6y/Hld0/jvKZ5/LwcjEvfR3h8DYbvNs7KymDt3Lhs3bmTcuHGs\nWLECwzDCfmBhYSFlZWX293v27KGgqQsoLy+Pvn37MnDgQJxOJyeccALffPNNZ+9FRCTpND+UJLTG\n+/t2m0PrjVrUbZ4cwob3Pffcw1lnncXjjz8OQEpKCnfccUfYC0+cOJHly5cDsHbtWgoLC8nMzASC\n1fyAAQPsc8LXrl3LkCFDDvEWREQSn7fpUBKX07U/vL/HGu8QO7wrWoa3tkhNbGG7zZ1NyxRWrFhh\nd33v3Lkz7FKx8ePHM3r0aObMmYNhGMyfP5+SkhKysrKYPn068+bN44YbbiAQCHDEEUfYk9dERLqj\n5oeSeEtLcbjdODIyvvd1zfyW4a0tUpND2PC+6KKLcDgcLQ4mgc6t8z7w4JIRI0bYXw8aNIgnn3yy\ns+0UEUlqoUNJguG9h5RevTs1RBlOq27zpuVh9TpZLKGFDW+fz8dTTz0VjbaIiHRb3qbK2+m1CHg8\nXTLeDa27zfdX3toiNZGFHfM+7LDDqKjQVnoiIpHkaRrzdtYHl4x1WXjntT3mXefr2hU8El1hK+9d\nu3bxox/9iGHDhtnj3wBLly6NaMNERLqT0Ji3szbYnd0Vk9UAHCkpODIymh0LGpqwpso7kYUN79A2\nqSIiEjmhyttRHayIuyq8Idh17ivfC0CqMwWH4aBOY94JLWy3+YQJE6irq+Prr79mwoQJ9O7dm+OO\nOy4abRMR6TZClbejLhiqobHqrmDm5WPV12M11GMYBummW0vFElzY8L7rrrt49tlnKSkpAeDFF19k\nwYIFEW+YiEh3Epqw5qgOhXdul13bzAteq/mkNYV3Ygsb3h9++CFLliwho2m94WWXXcbatWsj3jAR\nke4ktFTMUV0LTieOpk2tusKB53qnm+la553gwoZ3amoqgL3e0O/34/f7I9sqEZFuxh7zrqrBzMnt\nkjXeIa4DzvV2m2l4LZ9d7UviCTthbfz48fzud79jz549PPbYY7z66qtMmDAhGm0TEek2QkFqVFVj\n5vXv0muHlot5m871drtCy8UayHG6uvSzJDrChvfVV1/NsmXLSEtLY9euXVxwwQX86Ec/ikbbRES6\njdCENdPjw8zp2tO+2jucpN5XT05qchzF2d20G947duywvx47dixjx45t8Vzfvn0j2zIRkW4k1G1u\n+gM4c3O69NrtbdSiSWuJq93wPvvsszEMg0AgwJ49e8jKysLn81FfX8+AAQN49dVXo9lOEZGkZlfe\nPjBzum6mOYAjIwPD5WpjlzWFd6JqN7zfeustABYuXMhPf/pTRo0aBcCnn37Kiy++GJ3WiYh0E96m\n2eamP9Cly8QgOOHYzM3bv8uaK7i/uQ4nSVxhZ5uvW7fODm6Ao446ig0bNkS0USIi3Y3H78UZMHAG\nunaNd4iZl4d/3z4CPp+9RaoOJ0lcYSesORwO7rnnHo455hgMw+Djjz+msbExGm0TEek2PJYHMxBc\nHtbV3ebQNO4dCOCrqlK3eRIIW3nff//9OBwOnnrqKZ588km8Xi/3339/NNomItJteP1eXE1baDgj\nUXk3m3Hu1oS1hBe28u7RowdXX311NNoiItJteSwvpj8ATifOjK7bXS3EbLZRS3qfwQA6nCSBha28\nRUQk8jx+D6bXwszJwXB0/T/N+/c3L8dtNk1Y82vMO1EpvEVE4oDH8uL0+CMy3g0tu83TnMHwbvRp\n/lKiChved999N5s3b45CU0REuicrYOGzfLh8VkTGu6F5t3klLoeJw3DQoMo7YYUd887JyeGaa64h\nPT2dM888kxkzZtiHlYiIyPfntXwAmL5A5CrvnBwwDHwV5RiGQZozlQZV3gkrbHhffPHFXHzxxWzd\nupVXXnmF888/nxEjRnDuuecybNiwaLRRRCSpefz7t0Y1e0YmvA2nE2d2jr1RS5qZRr3WeSesTo95\n79q1iy1btlBbW0tGRgY33HAD//jHPyLZNhGRbiG0NarLFwhWyBFi5uXhq6ggEAgEK2+/Ku9EFbby\nXrJkCS+88AKDBw9m9uzZ3HLLLTidTjweD7NmzeKcc86JRjtFRJKWt+lQEqd//8SySDDz8mjcvAmr\npoY0M43Guj0EAoEuPTtcoiNseJeVlfHYY4/Rr18/+7GtW7cyYMAArr322og2TkSkO7Arb38AZyQr\n7+Yzzs1UrICF1/KS4kyJ2GdKZHTYbW5ZFhs3bqRv375YloVlWXg8Hi699FIATjrppKg0UkQkmXlC\nh5L4AhGtvF1NR4N6KypIcwYnHtdr0lpCarfyfumll1i8eDFbtmxh5MiR9uMOh4NJkyZFpXEiIt2B\nN3QcqGXgzOz63dVCmp/rnVYYXOvd4G8gh6yIfaZERrvhPXPmTGbOnMnixYu54oorotkmEZFuxdM0\n5p3qSo3I7mohLbrN+wYr7wbNOE9IHZ7nPXnyZHr37s2zzz7b6vlZs2ZFtGEiIt1FY9NSsdSU9Ih+\nTvP9zdPMAU2frW7zRNRueK9fv57JkyezZs2aNp9XeIuIdI3GuhoAUtIiHd6hbvNy3M7DAI15J6p2\nw3vu3LkA3HbbbVFrjIhId9RQtw+ANHfkxrsBHKmpONxufJWVpJrqNk9k7Yb35MmTO1z79+abb0ai\nPSIi3U6o8k5Nj/zEMTMvP9ht7gxNWFPlnYjaDW/tniYiEh2N9cHwTsvIjvhnmXl5eHZsJzXgBFR5\nJ6p2w3vDhg1Mnjy5zclqoDFvEZGu0thYByakZUZmX/PmQjPOXfXBSXKqvBNT2Alrq1evbvN5hbeI\nSNdobKwHE9zZUQjvpklrrppgxa2TxRJTpyeslZeXA5Cfnx+FZomIdB+epq7rtJzI//saCm9ndR2A\nzvROUGH3Nn/55ZdZuHAhhmFgWRamafKHP/yB6dOnR6N9IiJJz9NU/bqzIrc1akio29ysqoFUVd6J\nKmx4P/zwwzz55JMMHDgQgE2bNnHllVcqvEVEukhwe1SDFFdqxD/LrrwrqqG3JqwlqrD78BUWFtrB\nDTBkyBAGDBgQ0UaJiHQXgUAAT8AHQIrDFfHPC4W3VVlJisOlbvME1W7lvWrVKgCGDh3Krbfeyokn\nnojD4WDVqlUMGjQoag0UEUlmVl0dPgc4AuB0OCP+ec7MLAzTbNoiNU2zzRNUu+H90EMPtfj+66+/\ntr/Wwe0iIl3DV1mJ1wRXIHIHkjRnGAbO3Nzg4STOPhrzTlDthvff/va3dt+0fPnyiDRGRKS78VVV\n4nMauIh81R3iysunfuMGUp2DqWysitrnStcJO2Ftx44d/P3vf6eiogIAj8fD+++/T1FRUcQbJyKS\n7PyVlfhMIyrj3SFmbi5YFmmYeCwvfssflS576Tph+2muv/56cnNz+eSTTxgzZgwVFRXceeed0Wib\niEjSC1XeKc5ohndw0lqKPzgEqmNBE0/Y8HY6ncydO5eePXvy85//nIcffpilS5dGo20iIknPV1mJ\n12mQYkZ+mVhI6FzvFF8A0BapiShseDc2NrJr1y4Mw2Dr1q2Ypsn27duj0TYRkaTnrarAbxqkuNKi\n9pmh5WIpHgvQRi2JKOyY9y9/+UveffddLrroIn7yk5/gdDqZOXNmNNomIpL06vdVApCa4o7aZ9qH\nkzR4wa0tUhNR2PCeNm2a/fUHH3xAbW0tOTk5EW2UiEh30VhTBRi4nClR+0wzv9nJYm6oV+WdcMKG\n94YNG3jggQfYuHEjhmFwxBFHcPnllzN06NBotE9EJGkFAgEaavcBOdGdsJYTPL3MrGmEfG2RmojC\nhvf111/POeecw69//WsAVq9ezXXXXcdzzz0X8caJiCQzq74ObxS3Rg0xTBNnVhZmTfBkMc02Tzxh\nwzsjI6PF2d3Dhg3TJi0iIl3AVxlcJgaQEsVucwiOe5uV5UC6Ku8E1O5sc8uysCyLE044gVdffZWa\nmhpqa2t57bXXOO644zp18UWLFjF79mzmzJnDZ5991uZr7rnnHs4999xDa72ISALzV1XhNZvCO4qV\nNwQ3anHVByvuelXeCafdynvUqFEYhkEgEGj9JtPkkksu6fDCH3zwAVu2bOHpp59m48aNzJs3j6ef\nfrrFazZs2MCHH36IyxXd/2lFROKBr7LCrryjOWENgsvFUrY3rfNW5Z1w2g3vr7766ntdeNWqVfZM\n9WHDhlFVVUVNTQ2ZmZn2a26//XauvvpqlixZ8r0+S0QkEfkqq/A1/Suc4gg7itmlnDm5pHhD4a3K\nO9GE/b+ltraWxx9/nM8//xzDMBg3bhznnXceaWkdbyhQVlbG6NGj7e/z8/MpLS21w7ukpIQJEybQ\nr1+/TjU0Ly8d0+zavXcLCrK69HqxpHuJT8lyL8lyHxBf91LtqcXbVHnn52QfdNu+z734B/axwxvT\nH/OfS6w/v6tE6z7Chvcf/vAHevXqxZw5cwgEArz77rvceOON3H333Qf1Qc273ysrKykpKeGxxx5j\n9+7dnXp/RUXdQX1eOAUFWZSWVnfpNWNF9xKfkuVekuU+IP7upXpnqd1t3ljnP6i2fd97qXemkeIN\n7rBWWVcT059LvP1eDlUk7qO9PwbChndZWRn33nuv/f2UKVM6NcGssLCQsrIy+/s9e/ZQUFAAwHvv\nvUd5eTk///nP8Xg8fPfddyxatIh58+aFva6ISLLwVwVPFIMYzTb3gxFQt3kiCru3eX19PfX19fb3\ndXV1NDaG/0VPnDjRXlK2du1aCgsL7S7z4uJiXn75Zf75z3+yZMkSRo8ereAWkW7HV1mJPyO4LWo0\nN2mBYHgbQKplaMJaAgpbec+ePZsZM2YwZswYIBjEoQ1bOjJ+/HhGjx7NnDlzMAyD+fPnU1JSQlZW\nFtOnT//+LRcRSWCBQABfVSXW8J6AL+pLxZyZmeB0kuLTqWKJKGx4z5o1i4kTJ7J27VoMw7DHwDvj\n2muvbfH9iBEjWr2mf//+/O1vf+tkc0VEkoNVX0/A48HvTgV8uKJceRsOB2ZuLikeizpV3gknbHhf\nddVV3H///fTp0yca7RER6RZ8lcHTxPzuFKCWFEd0x7wh2HXuatxLg7+RQCCAYRhRb4McmrDh3b9/\nf5599lnGjRtHSsr+/7kGDBgQ0YaJiCQzf1UwvH2pwX+Goz3mDTRV3qVYAQuv5YtJG+TQhA3vl19+\nudVjhmHw+uuvR6RBIiLdgV15p5gQAFeMKu+UhqaNWvwNCu8EEja833jjjWi0Q0SkW/GFKm/TAd5Y\nVd55pGzdv0VqdkpybJTSHbQb3jU1NTz00EN8++23HHfccZx//vmYZnS37xMRSVahyttnGsHwjvJs\nc2jqNt+kLVITUbvrvG+66SYguFRsw4YN2n9cRKQLhca8vY4ADsOB09G12z93hpmXt39/cy0XSyjt\nltLbt2+3t0A96aST+MUvfhGtNomIJD1fZSUYBl6smMw0h6bKu2mLVG3Ukljarbybd5E7ndH/i1BE\nJJn5qqpwZmfjtbwxmyhm5qryTlTthveB6/20/k9EpGsEAgF8lRWYObl4LG9MxrsBHGlppBrBz1bl\nnVja7Tb/+OOPOfnkk+3v9+7dy8knn2wv5H/zzTej0DwRkeRjNTQQ8Hgwc3Px+qtIT3XHrC3ulAzA\n0oS1BNNueC9btiya7RAR6Tb8lRVAcMzZY5VGfWvU5tLTs4Aq6r1de+yyRFa74d2vX79otkNEpNvw\nVVUBYOTkBHc2i1G3OUBaejZQRX3dvpi1QQ5e2CNBRUSka/maKm9ygpuixLTyzsoDoK6+JmZtkIOn\n8BYRibJQ5W1lZwLEbKkYQEZ2PgD1ntqYtUEOnsJbRCTKQrurBbIzgNhsjRqSkdMTgAZvfczaIAdP\n4S0iEmWh3dX8GelAbLZGDUnNy8f0BbTOO8EovEVEoiy0u5rlDnaXpzhj121u5uXh8gZotLwxa4Mc\nPIW3iEiU+aoqcWZl4cEPgCuGlbeZnUOKz6IRX8zaIAdP4S0iEmW+ykrM3Dy8/mC1G8sxb8M0SfU7\naHQEYtYGOXgKbxGRKLIa6gk0NmLm5OCxPEBsx7wBUjHxmuC3/DFth3SewltEJIpCM82dubl25e2K\n4Zg3QFrTHw/1NZUxbYd0nsJbRCSKQuEdOpQEYl95p5lpANRUlMa0HdJ5Cm8RkSjyNS0TM3Nz8dhj\n3jGuvF3Bg1FqK8ti2g7pPIW3iEgUtay8g2PeLke7x0xEhTs1uFlM3b69MW2HdJ7CW0QkivyV8Vd5\np6cF91ivramKaTuk8xTeIiJRFNrX3Nms8o7lUjEAd0Y2APV1Cu9EofAWEYkiX2UFGAZmdjZef3Bj\nlFgeTAKQ0XSyWL1OFksYCm8RkSjyVVXhzMzCMM34qbzTmyrvRp0sligU3iIiURIIBPBVlGPmBStd\ne513nCwVa/DpZLFEofAWEYkSX2UlAY8HV2EhQPxU3qHw9jcSsKyYtkU6R+EtIhIl3t27AEgp7AWw\nf7Z5jMe805ypAHhMA/++fTFti3SOwltEJEo8e3YD4Oq1P7wdhgOnwxnLZtnd5h7TCE6ok7in8BYR\niRLv7mB4pxT2Dn5veWNedQOkhipvl4GvQuGdCBTeIiJR0qrytjwxH+8GSHWmYNAU3pU6nCQRKLxF\nRKLEu3s3DrcbZ1ZwRzOP3xvzmeYAhmGQaqQ0hbcq70Sg8BYRiYKAZeEt3YOrsBeGYQDBpWLxUHkD\npJmpeFwOVd4JQuEtIhIFvooKAl4vKU1d5tDUbR4HY94AbpdbE9YSiMJbRCQKvKHx7qZlYlbAwmv5\n4qjyTsOTYuBVeCcEhbeISBR4Qmu8mypvnxXc19wVR+FtOQwaq9RtnggU3iIiURBaJuaKsw1aQkIb\ntTR467A8nhi3RsJReIuIREFomVhKr+Aa79DWqPEw2xyabdSiSWsJQeEtIhIF3t27caRn4MzMBJpV\n3nHTbd5soxaNe8c9hbeISIQFLAtvWWmrmeYQR+HtVHgnEoW3iEiE+fbuJeDz2ePdEIdj3na3ubZI\nTQQKbxGRCNs/3r0/vL1WnHWbN6u8/RrzjnsKbxGRCAsdBerq1VblHSfhbZ8s5lC3eQJQeIuIRJhd\neTfrNvf6m2abx1vlnaLDSRKBwltEJMLsNd4tJqzF55i3L8OtyjsBKLxFRCLMs2c3zswsnOkZ+x9r\n6jaPt8rbm5ka3Ic9EIhxi6QjCm8RkQgK+P14y8paVN3QbKlYnI15e90pBHw+rNraGLdIOmJG8uKL\nFi3i008/xTAM5s2bx9ixY+3n3nvvPe69914cDgdDhgxh4cKFOBz6W0JEkou3rAz8/hbj3dB8k5Z4\n6TZvqrxTg7Hgq6ywN5SR+BOxtPzggw/YsmULTz/9NAsXLmThwoUtnv/jH//IAw88wFNPPUVtbS3/\n/ve/I9UUEZGYsU8TO6DyjtulYinBWNCktfgWscp71apVTJs2DYBhw4ZRVVVFTU0NmU1/yZWUlNhf\n5+fnU6FNAUQkCXl2t55pDs3GvOOk29x0mJgOE48R/F6T1uJbxCrvsrIy8vLy7O/z8/MpLS21vw8F\n9549e3jnnXeYPHlypJoiIhIz3j2t13hD8zHv+Og2h2D17XEEJ6qp8o5vER3zbq6tmYt79+7lkksu\nYf78+S2Cvi15eemYprNL21RQkNWl14sl3Ut8SpZ7SZb7gOjfy56KvQD0GXUYZrrbftzxTfDfxD6F\neeS5D61NXX0vGanpNDbWA+BqqInqzypZ/h+L1n1ELLwLCwspKyuzv9+zZw8FBQX29zU1NVx88cVc\nddVVTJo0Kez1KirqurR9BQVZlJZWd+k1Y0X3Ep+S5V6S5T4gNvdSu207zuxsKmp9ULv/s6vrg/+m\nVVc24qs5+DZF4l5ScFHprwq2a+eeqP2skuX/sUjcR3t/DESs23zixIksX74cgLVr11JYWGh3lQPc\nfvvtnH/++Zx00kmRaoKISEwFfD68ZWX2Gd7NxdvBJBBcLtZoecDlUrd5nItY5T1+/HhGjx7NnDlz\nMAyD+fPnU1JSQlZWFpMmTeL5559ny5YtPPvsswDMnDmT2bNnR6o5IiJR5y0rhUCgxWli9nOWF4fh\nwOno2uHA7yO1aca51SNPE9biXETHvK+99toW348YMcL++osvvojkR4uIxJw907xX6/D2+L1xs0FL\nSGittz8/G8eXGwn4/RjO+PnjQvbTrigiIhFi72neRuXtsTxxszVqSGiXNX9eFgQC+KqqYtwiaY/C\nW0QkQto6x9t+zu+Nq/FuALez6XCS7OAe7Br3jl8KbxGRCOmo8vb6vXGzu1pIqNvclx1c0qZx7/il\n8BYRiRDPnl04c3NxpKa2fs7yxF3lnebcfywoKLzjmcJbRCQCLK8HX3l5q21RAayAhdfyxV3lnRo6\nnBsZwK4AABS+SURBVMQdbJdf3eZxS+EtIhIB3tKmZWJtjHf7LB8QP/uah7hDh5OkNZ0spjMn4pbC\nW0QkArz2gSQdbNASZ5W3faa3SyeLxTuFt4hIBHjaOQoU9h9K4oq3Me+mbvMGvDgyMjTmHccU3iIi\nEeANs0ELxGHl3TRhrdHXiJmrXdbimcJbRCQC7Mq7oLD1c6HjQOMtvEOVt78RMzcXq74eq6Ehxq2S\ntii8RUQiwLt7N2Z+Po6U1l3jXn9wwlr8LRVrCm9fAyl9+gS//m5LLJsk7VB4i4h0MauxEV9FeZub\ns0DzMe/4qrxTnCkYGNT7GkkfHjyLov6rL2PcKmmLwltEpIt5S/cAtLnGG+J3zNthOEh1ptLgb8B9\nxAgwDOoU3nFJ4S0i0sVCp4m1NdMcwOuPzzFvCI57N/oacWZkkDpgIA3fbsTyeGLdLDmAwltEpIt5\nQweStNtt3lR5x9mYNwTHvRv8jQCkjxhJwOejYeOGGLdKDqTwFhHpYuEq71C3ebwdCQrBjVoafMEZ\n5u4RwXFvdZ3HH4W3iEgX8+7ZDYaBq6Cg7eftyjsOw9uZii/gx2v5cB8+HBwOhXccUniLiHQxT2iZ\nmKvtbnFPXI95BzdqafA14HS7SRs8mIbNm7TeO84ovEVEupDV0IC/qrLNPc1DQmPe8bY9KuzfqKWx\nadzbPXwk+P3Ub/g6ls2SAyi8RUS6UEd7mtuvidOlYrB/o5Z63/5JawB1X6rrPJ4ovEVEulC4mebQ\nbHvUuKy893ebA7gPOxycTurWfxXLZskBFN4iIl0o3ExzAG8CVN4N/mB4O1JTcQ8dRuOWzfjr6mLZ\nNGlG4S0i0oU6Ok0sxF7nHY/hbVfejfZj7uEjIBCg/uv1sWqWHEDhLSLShTyhZWI9214mBvsr73jb\n2xzAfUDlDc3GvbVkLG4ovEVEupB3925cPXtimGa7r/FYHhyGA6fhjGLLOic1dCxos8o7bdgwDNOk\nfr3CO14ovEVEuoi/vh5/9b52TxML8fi9pDhcGIYRpZZ1Xpqzqdvcvz+8Ha4U0g47nMatW/HX1MSq\nadKMwltEpIt0ZrwbgpV3PG6NCq1nm4fYXeeqvuOCwltEpIt4du4AwNXBBi0Qqrzjb5kYgLuNbnOA\n9OGhcW8tGYsHCm8RkS6y7/1VAKQPH97h67yWNy5nmkPzbvOWlXfakCEYKSka944TCm8RkS7g2bOH\nurVfkDbsMFIHDOz4tX5vXM40h7YnrAEYpon78CPw7NiBr6oqFk2TZhTeIiJdoOqtFRAIkDtlaoev\nswJWXFfeLoeJaThbTFgL0bh3/FB4i4h8T5bXQ9U7/8aZmUXmMcd1+Fqf5QPic2vUkOZnejfnbhr3\nrte4d8wpvEVEvqeajz7Eqqkhe9IPcbg6rqjj+VCSkDRnapuVd9qgQTjS0lR5xwGFt4jI91T55gow\nDHInTwn72tChJPF4HGhIe5W34XTiPmI43t278ZaXx6BlEqLwFhH5Hhq+20LDxg1kjDkSV0H7W6KG\nxPOhJCGpzlQa/R6sgNXqudC4t2adx5bCW0Tke6h6cwUAOSd3PFEtxD6UJE5nm0NwrXeAAB6/p/Vz\nI7TeOx4ovEVEDpG/ro59772L2aMHGUeO7dR7QmPe8brDGjTbZa2Nce/U/gNwpGdQ99W6aDdLmlF4\ni4gcon3vvUvA4yF38hQMR+f+OQ2Necf1bPPQyWJtjXs7HKQPH4Fv7168paXRbpo0UXiLiByCQCBA\n1Yo3wOkke9JJnX5fQsw2b6q8632tK28A94gRgNZ7x5LCW0TkENR/vR7Pzh1kHXscZnZ2p9/nbRpH\njuvwbtoitbGNbnPQ+d7xQOEtInIIKle8AUBuJyeqheyfsBbH3eZm+93mACl9++HMyqLuqy8JBALR\nbJo0UXiLiBwkX1UlNR+vJqVff9IOO/yg3hsK77iesNY05l3fTuVtGAbu4SPxV1bax6BKdCm8RUQO\nUtW/V4LfT+7JUzEM46Dea6/zjuOlYu2d6d1cetO4d+0Xn0elTdKSwltE5CAE/H6qVr6JkZpG9gkn\nHPT7PYkw5t3OyWLNZRx5FIZpUlbyDPUbN0SradJE4S0ichBqP/sUX3k52SeeiCPNfdDvt7vN43nM\nO8yENQBXjx70+dWlBHw+tv/pXhq3bo1W8wSFt4jIQal889AmqoUkxlKx0Jh3+93mAJnjxtP7Fxdh\n1dWx7b678Gj8O2oU3iIineTZvZu6tV/gPvwIUvv1P7RrJPgmLQfKPnEiBWf/HP++fWy77y68FRWR\nbp6g8BYR6bTKN14DOr+PeVu89vaoZpe0KRL2T1hrv9u8ubxTptPjJz/FV1bG9vvu4v+3d+9BUdX/\nH8efe5aLwKKCgWmZ3/Iy+qP5eklHSUVLRf2KqBC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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "9000: \t discriminator error1.3928000926971436\t generatore error0.7122242450714111\n" ] }, { "data": { "image/png": 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QGaKiuZpRmSP26X6y3VlUN9cm3M8gWX4vsbiP7v4YiFm3+dSpU1m9ejUAmzdv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\n/q+8IdwD4GwOh7e6ze1B4S0iEmd7us1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FS0UdERVCVgQ0aNRSysbmp4HjZTRnILqYQtiA\n5TimInjpV2qOhhN+XSl11EnT0PoZFwOWq9xcFvz9QfKNNL+xsB6OvB8z/OHZ3XNeZ93hzfl8zr4/\n76PT6fDz82PJkiX2jCKEEH9bQ6kZ875MbuWYAHD976E8HjwHp759273v240W9Bodem3nvnZqHjZv\n+9C31tGRvktf58aGdZgz0nH06oXrsOE2TzOI+7Pbp+e7777jxo0b7Nmzh+vXrxMbG8uePXtaHt+w\nYQNpaWn06tWL8PBwpkyZwj/+YdsNIEII0REaa2soO/QVFceOcsdqxam/Nz1DQnF5+p8ddgxLo6XT\nz3dDc6OWhqYGmu40odW0bYZV38OdvkvfIC9+I4VJH6Hr1o3HBg7CeeCg5pv9BgxA+5iznZJ3DXYr\n3iaTiUmTmhsYDBo0iMrKSqqrqzEYDOTl5dG9e3eeeOIJAMaPH4/JZHqoxbvmVgVV5aUP7Xj2pNPU\nUFVeo3SMDiHn0vk8KucBoGkow/x/N2msqqSxsgrrrUqsVVU0VlbSWFVFg7mEpvp69J7ueEyfgeHZ\nkTRptVQ3dNz511nrO/2QOfx7WL/ydhUOv3dca5O+XvRY+iqVJ7Opv3GD6svn4fL55sc0Ghx7P4GT\n93/xWP/+1PT2pLq+Ea2DAxq9AxpHRzR6PVq9AxpHPRqtDuj8V+5uhod3G5ndirfZbMbHx6fl3x4e\nHpSUlGAwGCgpKcHDw6PVY3l5efaKco/LP3xL8m//yx1t5/8wCCHsyO33n75/3gDUH4Z/HbbLYXu7\n9rLLfjuS0++NWlad2ti+HQ0GBuuBnn96oAHIhaZcKGzfIToLx+/usO65/6Fbjz+fa8d7aJMu7b3r\nsGdPtw5KAuNfmM54pnfY/oQQQgkd+Xvxz95+8TW77Vu0n92u8b28vDCb/73Oa3FxMT179rzvY0VF\nRXh5edkrihBCCPFIsVvxHjNmDF9//TUAly5dwsvLC4PBAMCTTz5JdXU1+fn5WK1WsrKyGDNmjL2i\nCCGEEI8UzR07fos+MTGRM2fOoNFoWLNmDZcvX8bNzY3Jkyfz/fffk5iYCIC/vz/R0dH2iiGEEEI8\nUuxavIUQQgjR8aQ9qhBCCKEyUryFEEIIlemyxbuoqIjo6GgiIiKYN28eP/zwg9KR2iUtLY2ZM2cS\nHBzMxYsXlY7TbmazmVGjRpGTk6N0FJtYrVZWrFjB3LlzmTNnDmfOnFE6kk02btxIaGgoRqNR9Z+r\nhIQEQkNDCQ4O5ujRo0rHaZf6+nomTZrEvn37lI7SLl988QWBgYEEBQVx4sQJpePYrKamhqVLlxIR\nEYHRaCQ7O9vux+zczXXt6LPPPmPy5MkYjUbOnTvHBx98QFpamtKxbJKbm8tXX31FZmYmV69e5fjx\n4636yKtRQkIC/fr1UzqGzQ4ePIizszO7du0iNzeXt99+m4yMDKVjtcl/anGsJqdPnyY3N5c9e/ZQ\nXl7O7Nmz8ff3VzqWzT7++GO6d++udIx2KS8vJykpiczMTGpra9m8eTMTJkxQOpZN9u/fz4ABA1i+\nfDlFRUXMnz+fI0eO2PWYXbZ4u7u7U1HRvGB8VVUV7u7uCieyXVZWFtOmTUOv1+Pj49Oqs50amUwm\nXF1dGTJkiNJRbBYYGEhAQADQ3EHw7mdNTR7U4lhtRo0a1fIHbbdu3airq6OxsRGdTqdwsra7fv06\n165dU22hu8tkMuHr64vBYMBgMLB+/XqlI9nM3d2dq1evAg+vnnTZYfMFCxZw6NAhpk6dyqpVq3jj\njTeUjmSzgoICbt68SXR0NPPnz+fKlStKR7KZxWIhKSmJN998U+ko7eLg4ICTU/PiE9u3b28p5Gpi\nNptb/RK62+JYjXQ6HS4uLgBkZGTg5+enysINEB8fz8qVK5WO0W75+fnU19ezePFiwsLCMJlMSkey\n2fTp0yksLGTy5MmEh4ezYsUKux+zS1x57927l71797ba5ufnx7Rp03j11VfJysoiPj6eLVu2KJTw\n77vfuZjNZsaNG0dqaipnz54lLi6OzMxMhRL+fX/1/xISEkK3bt0UStV29zuPmJgYxo0bx86dO7l0\n6RIpKSkKpes4j8K3So8dO0ZGRgbbtm1TOopNDhw4wLBhw1Q9pfRHFRUVbNmyhcLCQiIjI8nKylLl\n0qEHDx6kT58+pKWlceXKFWJjY+1+P0KXKN4hISGEhIS02vbKK6+wbNkyoLkb3Lp165SI1mb3O5eP\nPvqIgQMHotFoGDlyJAUFBQqla5v7nYvRaKSpqYmdO3fy66+/cvHiRTZt2sTgwYMVSvmf3e88oLmo\nf/PNNyQnJ+PgYMOqTAp7UItjNcrOziYlJYXU1FTc3OzXE9yeTpw4QV5eHidOnOC3337D0dGR3r17\n8/zzzysdrc08PT0ZPnw4er2e/v374+rqSllZGZ6enkpHa7Nz584xduxYAJ566imKi4vtPi3TZYfN\nvb29uXDhAgAXL17E29tb4US28/Pz4+TJk0DzfNjdpVbVaPfu3aSnp5Oens6ECRNYs2ZNpy7cfyUv\nL4/du3ezZcuWluFztXlQi2O1uXXrFgkJCWzdupUePXooHcdmH374IZmZmaSnpxMSEsJrr72mysIN\nMHbsWE6fPk1TUxPl5eXU1taq9t6jP9aTgoICXF1d7T4t0yWuvO9n0aJFxMXFtdwRGBcXp3Ai2w0b\nNoxvv/2W0NBQAFavXq1wIrF3714qKipYuHBhy7a0tDQcHTv/Os53jRgxAh8fH4xGY0uLY7U6dOgQ\n5eXlLaNt0Dx33KdPHwVTdW29evViypQpzJkzB4BVq1ah1arzejI0NJTY2FjCw8OxWq2sXbvW7seU\n9qhCCCGEyqjzzxwhhBCiC5PiLYQQQqiMFG8hhBBCZaR4CyGEECojxVsIIYRQmS77VTEh1Cg/P5+p\nU6cyfPhwABoaGhg5ciRLlizB2dn5ga89ePAgM2fOtEuuffv2cerUKRITE+2yfyFEa3LlLYTKeHh4\nsGPHDnbs2MH27dupqalh+fLlD3xNY2MjycnJDymhEMLepHgLoWJOTk7ExsZy5coVrl27Rm1tLTEx\nMURERBAUFMQnn3wCQGxsLAUFBURFRQGwadMmjEYjRqORZcuW0dDQ0Gq/8fHxrfqxJycn8+6772I2\nm4mKiiIyMpKgoCAOHDhwT6YXX3yRGzduAJCTk8PcuXMBKCwsZNGiRURGRvLSSy9x6tQpoLmBSnBw\nMBEREYSHh5OXl9fxb5QQjxgZNhdC5RwcHHjmmWf46aefcHJyYuLEicyaNQuLxYKvry9hYWHExMRg\nMpnYtm0bVqsVZ2dnPv/8c7RaLdHR0Zw8eZIXXnihZZ+BgYHExsayePFiAA4fPsx7771HcXEx8+bN\nY+LEiRQXFzNjxgxmzZr1t3KuXbuWqKgoRo8eTUlJCaGhoRw9epSUlBTWr1/P0KFDuXDhAkVFRY/M\nwhtC2IsUbyEeAbdu3UKr1eLp6cnZs2fZvXs3Dg4O3L59+561xPV6PVqtlrCwMPR6PT///DPl5eWt\nnvP0009jsVjIy8vj9u3b6HQ6hgwZgtlsJjU1ldTUVHQ6XZvWKc/JyaGmpoakpKSWHKWlpQQFBbFy\n5Ur8/f3x9/dn6NCh7X9DhHjESfEWQuXq6ur48ccf8fHxYfv27VgsFnbt2oVGo+G555675/lnz54l\nMzOTzMxMXFxceP311++734CAAI4cOUJdXR2BgYFA88IY3t7evP/++9TU1DBixIgHZvvjcLyjoyOb\nN2/Gw8Oj1XMWLFhAQEAA2dnZrF69mpCQEIxGY1vfBiG6FJnzFkLFGhoa2LBhA2PGjKFfv36UlpYy\naNAgNBoNx48fp76+HovFglarxWq1AlBaWkrfvn1xcXGhoKCA8+fPY7FY7tl3QEAAWVlZZGVlERAQ\nADSvHX93lbcvv/wSrVZ7z2sNBgM3b94E4PTp0y3bn332WQ4fPgxAWVkZ77zzDo2NjSQmJuLm5sbs\n2bOJiYlpWZ1JCPHXpHgLoTJlZWVEREQQFhbG7NmzMRgMbNy4EYDg4GD2799PZGQk+fn5zJgxg7fe\negsvLy8ef/xxgoKC8PX1pbq6mrlz57J161ZiYmJISUnhl19+aXWcfv36odFo8PDwwMvLC4Dw8HA2\nbdrEyy+/jKurK76+vvfc6R4VFUVcXBzR0dGtvr4WFxfHsWPHCAsLY+HChYwePRqdToe7uztGo5H5\n8+fz6aefttxUJ4T4a7KqmBBCCKEycuUthBBCqIwUbyGEEEJlpHgLIYQQKiPFWwghhFAZKd5CCCGE\nykjxFkIIIVRGircQQgihMlK8hRBCCJX5f329D3MJdqfXAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "10000: \t discriminator error1.3856027126312256\t generatore error0.7203052043914795\n" ] }, { "data": { "image/png": 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dztuLiMQcj9eN3Qvu0jLK39xA33Py2n2uMu/YoQprIiJRwvSZeDFxeP0TgEte\nfQWzrq7d5zfMNlfwjnYK3iIiUSKwxMvu9ZF41FF4Kw5TtuH1dp9vlUfVOu+op+AtIhIlAnXNHV4f\nx/zsUmyJiZSsfQWztqZd52udd+xQ8BYRiRKBuuZ2LyQfM5S+5+RhVlZS9kb7sm97ffBW5h39FLxF\nRKKE21ufeZsQl5FBn6nnYEtKpmTtq3hrgmffjvpuc415Rz8FbxGRKBHIvJ2OOAy7HXtiIn1z8zCr\nqyhb/1rQ8x3KvGOGgreISJRwu/0zy+PiEq3X+p49FVtKCqWvrcVbXdXm+YGlYhrzjn4K3iIiUaL2\ncAkAcfENwduWkEhG7rmYNTWU/rPt7NswDOyGXd3mMUDBW0QkStSUlwIQl5Dc5PU+U87GnppK2frX\n8NZvvdwau82OVxXWop6Ct4hIlKg77A/e8UkpTV63xceTMf0H9dn3ujav4VDmHRMUvEVEokRdRTkA\n8cnNd5pKnzQZe3o6pev/ibei9Z2t/Jm3gne0U/AWEYkSdVWHAYhPSW/2nj/7noGvrpaSda+2eg2H\n4VDmHQMUvEVEokRdlT+jTkjt0+L76ZMmYe/Th7I31uM5fLjFY5R5xwYFbxGRKOGq8U9Gczaabd6Y\nzRlH5rkz8LlclK59pcVj/GPemrAW7RS8RUSigM/no662GgCnrfXdnNO+PwlH3wzKNr7R4sxzZd6x\nQcFbRCQKmJWVePAHXafN2epxNqeT1PHfw+dy4TpwoNn7DpvGvGOBgreISBRwlxTjtRlA28EbwJHu\nn9DmqWg+7u0wlHnHAgVvEZEo4C4uxmMPBO/Wu80B7Kn+pWQtLRmz2xyYPhPTZ4a+kRIxCt4iIlHA\nU1KMx1+aHEfQ4J0GgLeVzBu0s1i0U/AWEYkCnuJivPZ2dpun1QfvFpaLNezprRnn0UzBW0QkCrhL\nGnWb25V593YK3iIiUcBdXIzX4f8nO1jmbU/x1z73tDjmrT29Y4GCt4hIFPAUF2MmxAHBJ6wZDge2\npOQWu80dhv9cZd7RTcFbRKSHM10uvBWH8cb7A2+wCWsA9rTUVmab12feqrIW1RS8RUR6OE9JCQDe\nOAd2w47NCP5PtyM1DW9lBT6z6ZIwR33w9qjbPKopeIuI9HDukmIAvA5b0C7zAHtaGvh8eKualki1\nG4HMW8E7mil4i4j0cJ7iIgC8dlvQyWoB1ozzw027zgNd7sq8o5uCt4hID+eu7zb32Ns33g2Nq6w1\nnbTmMDR4sNSxAAAgAElEQVTmHQsUvEVEejhPsb/b3GOYQdd4BzhaKZFqV+YdExS8RUR6uMCYt8dn\ntr/bvL7K2pGbkzhsGvOOBQreIiI9nKe4GHt6Om6fpwPd5i2XSLVbFdbUbR7NFLxFRHown2niKS3B\nkZGBx/QQ19EJa61k3uo2j24K3iIiPZj38GF8Hg9Gv0yg/RPWrDHvI2ab2+srrKnbPLopeIuI9GDu\n+mViZPQBgtc1D7AlJ4Nh4K08cqlYIPNWt3k0U/AWEenBAtXVGoJ3+zJvw2bDnpqKp5Uxb2Xe0U3B\nW0SkB7My73T/GHZ7u83BP+6tMe/YpOAtItKDeeqXifn6+Mewnfb2dZsDONLSMKur8XkausiVeccG\nBW8RkR7MXV+gxZfq36O7vd3m0FBlrfG+3lZ5VAXvqKbgLSLSg3lKijHi463tQNs7YQ1aXi4WCN5e\nTViLagreIiI9mLu4BGdmppUpd2zMu3mJ1IYiLcq8o5mCt4hID2XW1mBWV+HIyMRtuoEOdpunNa+y\nZpVH1YS1qBY0eD/wwAPs3r07Ak0REZHG3MX+ZWL+zNvfzd2RbnNHC93myrxjQ9A/4dLT07nppptI\nSkriwgsvZPr06cTHx0eibSIivVpgmZg/8w4E705MWGsh81Zt8+gW9FNw1VVXcdVVV7F3715effVV\nLrvsMkaMGMGll15KTk5OJNooItIrBZaJOTMbd5t3YsJaZeMx78CENWXe0azdY94FBQXs2bOHqqoq\nkpOTufXWW/nrX/8azraJiPRqgWVijTPvDk1Ya2PMW5l3dAv6KVixYgUvvvgixxxzDLNmzeLuu+/G\nbrfjcrmYOXMml1xySSTaKSLS6zRk3v1wVxX4v+5A8LYlJGA4HE1nm2vCWkwI+ikoKiriqaeeYvDg\nwdZre/fuZciQIdx8881hbZyISG/mLi4Gmw1Hnz54KurHvDtQYc0wDOxpaXgar/PWhLWY0Ga3uWma\n7Nq1i0GDBmGaJqZp4nK5mDdvHgBnnnlmRBopItIbeUqKcfTpi2G3N5qw1v7gDfX1zRt1m9ttGvOO\nBa1m3i+//DLLly9nz549jBw50nrdZrMxceLEiDRORKS38nk8eEpLSTz2OwC4vR1f5w3+Gee+PS7M\nujps8fHYDX/OpjHv6Nbqp2DGjBnMmDGD5cuXc91110WyTSIivZ6nvAx8PhwZmQCdmrAGTdd62+Kz\nsBk2bIZNmXeUa/VT8OabbzJp0iQGDBjA888/3+z9mTNnhrVhIiK9WWCmuTPTH7w9naiwBmBPC6z1\nrsDZLwvw/wGgMe/o1uqn4PPPP2fSpEls27atxffbE7yXLFnCRx99hGEYLFiwgBNPPNF678CBA/zq\nV7/C7XZzwgkncPfdd3ei+SIiscljLRPLAOjSmDccsTmJYVfmHeVaDd5z584FYOnSpfh8PgzDwOVy\nUVxczMCBA4NeeMuWLezZs4fVq1eza9cuFixYwOrVq6337733Xq644gqmTZvGXXfdxf79+xk0aFAI\nHklEJPq5Gy0Tg9AGb7vNrsw7ygXtf3niiSdISkrixz/+MRdccAHJyclMnDiRX/7yl22et3nzZqZO\nnQpATk4O5eXlVFZWkpKSgmmabN26lYceegiAhQsXhuBRRERih6dRgRbAqrDW0TFva2exxoVaDAde\nTViLakE/BRs2bODZZ59lzZo1TJ48mfnz5zNnzpygFy4qKmLUqFHW9xkZGRQWFpKSkkJJSQnJycks\nXbqUHTt2cOqpp3LTTTe1eb2+fZNwOOzteKT2y8pKDen1upOepWeKlWeJleeA6HmWQ5XlAAw4biiO\npEQMuw+AQf37WoVW2vMsCUcPYD8Q562zjo9zOnF73T3qZ9GT2tIVkXqOoMHb4XBgGAabNm2ygrZp\nmh2+kc/na/L1wYMHmTNnDoMHD2bu3Lls3LiRs846q9XzS0urO3zPtmRlpVJYWBH8wCigZ+mZYuVZ\nYuU5ILqepfrAQWxJyZRWeaCqguq6WmyGjZJi/7+F7X0Wt9f/z3zFwSLreMM0cHncPeZnEU2/l7aE\n4zla+2MgaG3z1NRU5s6dy65duxgzZgwbNmzAMIygN8zOzqaoqMj6/tChQ2Rl+Wc69u3bl0GDBnH0\n0Udjt9s5/fTT+fLLL9v7LCIiMc3n8+EuKbZmmoN/zLujM82hUbf5ESVSNWEtugUN3g8++CAXXXQR\nTz/9NABxcXHcd999QS88YcIE1q1bB8COHTvIzs4mJSUF8GfzQ4YMsfYJ37FjB8OGDevkI4iIxBaz\nqgpfXR2OZsG7Y5PVAGxxcdgSEpqNeWvCWnQL+mec3e4fW9mwYYPV9X3gwIGgS8XGjh3LqFGjmD17\nNoZhsHDhQvLz80lNTWXatGksWLCAW2+9FZ/Px3HHHceUKVNC8DgiItHPmmme0Sh4e90dnqwWYE9N\nbVLfXJl39Av6Sbjyyiux2WxNNiaB9q3zPnLjkhEjRlhfDx06lGeffba97RQR6TU8xf4hx8aZt8d0\nE2eP69T17KlpuPfstpb9Ogw7ps/E9JnYjHbvDC09SNDg7fF4WLVqVSTaIiIigLu4BKDZmHeyM7lT\n17OnpYHXi1lTjT0puWFbUNOLza7gHY2C/taOPfZYSktLI9EWERGhYR9vR0bXx7yh8Vpv/6S1QPe7\nR13nUSto5l1QUMA555xDTk6ONf4NsHLlyrA2TESkt3LXd5sHMm+fz4fH9HR6zLvx5iQMGGDt6e3V\npLWoFfSTECiTKiIikeEpKcFwOKzSph6fFx++Ti0Vg4bM21M/4zzQbe7xqcpatArabT5u3Diqq6v5\n4osvGDduHAMGDOC0006LRNtERHold3ERjr4ZGLbA3tv1O4rZOxm80+oz78r6bnPDfx1l3tEraPD+\n3e9+x/PPP09+fj4AL730EosWLQp7w0REeiPT7cJ7+HCzNd4Ajk6PedcH72aZt4J3tAoavN9//31W\nrFhBcrJ/luM111zDjh07wt4wEZHeyFNSP9O8yRpvf/CO62Twdhyxs5gjELy1OUnUChq84+PjAayS\nqF6vF69Xf62JiIRDIHgfucYbOr6jWIA9LTDm7e82t2vCWtQL+kkYO3Ysv/nNbzh06BBPPfUUr732\nGuPGjYtE20REep0jZ5oDuKy9vDsZvJP9pakbMm8tFYt2QT8JN954I2vXriUhIYGCggIuv/xyzjnn\nnEi0TUSk17Ey74zmmXdn13kbDge25GRrc5KGzFvd5tGq1eC9f/9+6+sTTzyRE088scl7gwYNCm/L\nRER6IU9ZGQCOPn2t1xomrHUu8wb/uHezMW9l3lGr1U/CxRdfjGEY+Hw+Dh06RGpqKh6Ph5qaGoYM\nGcJrr70WyXaKiPQKnvJA8E63XgsE785OWAP/cjHXwQJ8pqkx7xjQavB+8803AVi8eDE/+tGPOOGE\nEwD46KOPeOmllyLTOhGRXsZTVoYRF4ctManhtcCEtU6u84b6Qi0+H97KSo15x4Cgs80//fRTK3AD\nnHTSSezcuTOsjRIR6a08ZWU40vtYK3zAvx0odH7CGjRa611x2Oo215h39Ar6SbDZbDz44IOccsop\nGIbB9u3bqauri0TbRER6FZ/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NkGCPx+U0cBcpeEcLBW8RkQjytrNAC0RmwhpAojMJn82g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\nf3wCV+GhMLVOwhq8lyxZwqxZs5g9ezYff9z0r7B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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "model.train(nsteps=10000, log_every=1000)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.4.5" } }, "nbformat": 4, "nbformat_minor": 2 }