From 177f7428e5cd42d22e860b5de87cc31e4a59cdf0 Mon Sep 17 00:00:00 2001 From: bushuhui Date: Tue, 28 Sep 2021 10:49:02 +0800 Subject: [PATCH] Improve some description --- 5_nn/1-Perceptron.ipynb | 18 +- 5_nn/2-mlp_bp.ipynb | 8696 ++++++++++++------------- 5_nn/3-softmax_ce.ipynb | 2 +- 6_pytorch/0_basic/1-Tensor-and-Variable.ipynb | 165 +- 4 files changed, 4179 insertions(+), 4702 deletions(-) diff --git a/5_nn/1-Perceptron.ipynb b/5_nn/1-Perceptron.ipynb index 2b5def5..dd06eb4 100644 --- a/5_nn/1-Perceptron.ipynb +++ b/5_nn/1-Perceptron.ipynb @@ -70,7 +70,7 @@ "\n", "这样，假设超平面S的总的误分类点集合为M，那么所有误分类点到S的距离之和为\n", "$$\n", - "-\\frac{1}{||w||} \\sum_{x_i \\in M} y_i (w \\cdot x_i + b)\n", + "-\\frac{1}{||w||} \\sum_{x_i \\in M} |w \\cdot x_i + b|\n", "$$\n", "不考虑1/||w||，就得到了感知机学习的损失函数。\n", "\n", @@ -156,10 +156,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "update weight and bias: 1.0 3.0 0.5\n", - "update weight and bias: -2.5 1.5 0.0\n", - "w = [-2.5, 1.5]\n", - "b = 0.0\n", + "update weight and bias: 0.5 1.5 0.5\n", + "update weight and bias: -3.0 0.0 0.0\n", + "update weight and bias: -2.0 3.0 0.5\n", + "w = [-2.0, 3.0]\n", + "b = 0.5\n", "ground_truth: [1, 1, 1, 1, -1, -1, -1, -1]\n", "predicted: [1, 1, 1, 1, -1, -1, -1, -1]\n" ] @@ -175,16 +176,17 @@ " else: return -1\n", " \n", "def perceptron_train(train_data, eta=0.5, n_iter=100):\n", - " weight = [0, 0] # 权重\n", - " bias = 0 # 偏置量\n", + " weight = [0, 0] # 权重\n", + " bias = 0 # 偏置量\n", " learning_rate = eta # 学习速率\n", "\n", " train_num = n_iter # 迭代次数\n", "\n", " for i in range(train_num):\n", - " #FIXME: the random chose sample is to slow\n", + " # need improve to cover all samples\n", " train = random.choice(train_data)\n", " x1, x2, y = train\n", + " \n", " predict = sign(weight[0] * x1 + weight[1] * x2 + bias) # 输出\n", " #print(\"train data: x: (%2d, %2d) y: %2d ==> predict: %2d\" % (x1, x2, y, predict))\n", " \n", diff --git a/5_nn/2-mlp_bp.ipynb b/5_nn/2-mlp_bp.ipynb index f3c6092..55b92f7 100644 --- a/5_nn/2-mlp_bp.ipynb +++ b/5_nn/2-mlp_bp.ipynb @@ -67,559 +67,6 @@ ] }, { - "attachments": { - "bp_demo_1.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2.一个简单的神经网络实例\n", - "\n", - "下面来一步一步实现下面这个神经网络的正向传播和反向传播，以便理解后面的公式。\n", - "\n", - "![bp_demo_1.png](attachment:bp_demo_1.png)\n" - ] - }, - { - "attachments": { - "bp_demo_2.png": { - "image/png": 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- ] - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "同样可得：![bp_demo_error_3.svg](attachment:bp_demo_error_3.svg)" - ] - }, - { - "attachments": { - "bp_demo_error_4.svg": { - "image/svg+xml": [ - "<svg xmlns:xlink="http://www.w3.org/1999/xlink" width="33.754ex" height="2.843ex" style="font-size: 15px; vertical-align: -1.005ex;" viewBox="0 -791.3 14532.7 1223.9" role="img" focusable="false" xmlns="http://www.w3.org/2000/svg">
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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "其实如下图所示，其实是一直在做的就是这个：![bp_demo_bp_3.png](attachment:bp_demo_bp_3.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_4.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "在这个过程中，需要弄清楚每一个部分。首先：\n", - "![bp_demo_bp_4.png](attachment:bp_demo_bp_4.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_5.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "然后知：![bp_demo_bp_5.png](attachment:bp_demo_bp_5.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_6.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "最后得：![bp_demo_bp_6.png](attachment:bp_demo_bp_6.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_7.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "把它们放在一起就是：![bp_demo_bp_7.png](attachment:bp_demo_bp_7.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_8.png": { - "image/png": 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- } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "为了减少误差，然后从当前的权重减去这个值（可选择乘以一个学习率，比如设置为0.5），得：\n", - "![bp_demo_bp_8.png](attachment:bp_demo_bp_8.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_9.png": { - "image/png": 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XhCUwQ/kzhEgBo4uI7CwRX4IjPRQKMFjCONpFNr68wxFi+PDDD89LRyPlDbZPbRiPJUwcaQ5yLIXawof4ywGwwbZfX74p8IRjNdISl9QLwzMBswKUwG/g1KIw8flhCJdoh/MtZYHA33Z4/JMAUNzNelvpsBBz6zZ2XnZa0h3VWx1jiox/wYe+LI8B8HIf+qf7gaipZcus1AknuMiLmdvSsG1jo8QltsTODhCUzyuKvpyNxCFfCMUzgcW5CZ6MKZYjE+P444/PrEadRn7IYMcSPEnpSHEUqE87NudJdlSIAi0fKPr3LFo78ASgcoEGlwCOVA0ix5eBo72oz/3QZjjy3luqlYn+o3mWl+4HoqYsj8rNJC6JjoSyLxLE5lwLzhD8OWzjSxAmAZbJADA/rxOXRL94oUiplsrE/MeY+B3GMVgyVpYMSMrbf84scJp8SD8B5ACPPgMEAY5G/ZOpiSFNJV+Nr4M4xvqwNQ+Zc46NM/pQjtXTP7DE7s97NE8Sl0jE0dfXl507VonDhhFWCNoHAg4GYyDKDyXfVrQz2MQleCBwlhSZlTcWcaTdw6kN4bNg8jjEc65QXGJmGy9gxHdKpxwJVEIR+HTarI68FkhiE8653A/yZEhMIolIgCfGRsHajOcAjpwWwB5OLh4dKkqIYhyxFNONU+fgL9pRzsGqfBPKO4024eN7ZrLu0nQcZkw2k7gkhKhTAyAE292YtXNipo63lh7DsvFVmk1cgk/8yWTjpJfyvQP4yGTIpFM4H0UZ21eJSxymjS6ca1tq323BKVIUfMlcACCsl1Nuh3YUzAI4TbbrAgaWQ34y/bIMzsacLsfZC8vPeecIOwT1rxGTRCI3S56TYWP2bwmkPbtH1sgyBTxAIQXUscce259tp6wvRyqWdRPAmdE8S1wSmsZMAMSJp3XeLiaUGuWqe/dLYHbnYxjHA73+n+OYvaKRKYG2gYfpl4PUVrNsjUamGHtzVG0DD3Favqzvsa72pohH7qibdphHrgiqkbUqgbZanlaZqup1hwQq8HSHnjqSywo8HamW7mCqAk936KkjuazA05Fq6Q6mKvB0h546kssKPB2plu5gqgJPd+ipI7mswNORaukOpirwdIeeOpLLCjwdqZbuYKoCT3foqSO5rMDTkWrpDqYq8HSHnjqSywo8HamW7mCqAk936KkjuazA05Fq6Q6mKvB0h546kssKPB2plu5gqgJPd+ipI7mswNORaukOpirwdIeeOpLLCjwdqZbuYKoCT3foqSO5rMDTkWrpDqYq8HSHnjqSywo8HamW7mCqbeCJ4AZCrVSJS7oDDIPlsumYhINtOMqLehUh8ANQ8a0d9wgiJZKWMG2iZgnZL3qXSF4RhSv6jvLCxdUnLpEOYNKkSTksXETWEm1MBDHh/4WRGTduXH88QdG4BM+WuES4OJHB9CeEm7GLkib0mwlVTlyCl4suuihNnTo1fxPBS4QRdUQZEXoX/0LdCYUr+pd2JD4RKlc5f/oR9njatGlpypQpadSoUbN9k6JAnENR5QXUlNikHCxTn3fffXdOgHLiiSf2h54LWdXf2w6e+g7b+RxAGChxCYAI8xZAKPOiTqPEJZQS5YVdExNQrD6BIgmfMvcrUgOIGC9rjWcKlDAFqStkHcW5R+IS1ljiEkoWHo5SDzvssLTWWmvlOuIGiuW46qqrZuAAnpB0cltEFFUpAEQ+FTYOoJURV1FcQ3yjABXeRbJddNFF8/uTTz45JzURq1nMRKARDs/4TLxmqG3LVjOdD3eZEJh4fv4okFLE2TODxfNDQNaIWA7xAwW3jMil2mQJWAp5HMaOHZurmv0CmkfAS4lAWCqBKfUFNGWiFAoqJy6RowPYkD5lynEX+FJQSzwAD5JYRHxEwDEmMQ+BNdqTc4KVFCMRvzFG/PvNaombiLwTwFJsxSeffDK/kwJKhpvx48f3l8k/5nAZNsuDoYhF2ImJSwiQdUBMteeICDoH+fQvOwJDqs8yIPUjUKXnGLvfZaJIJGMNClBpCzAidO2ECRMyP2HlgIUlFFkNCTDJwiB9I8EvLUEAN6ex4I1l1aflFgmUabKwMmPGjBmQ/1x4gMuwgacsPEKZPHlyZkjo1v9F4hKCQcEXc83/4CuUA3mHXJTHKz/JzCboSFyijMiiFCtUnnjRlCnKKwug3egn2mt0N8FCyaKqWkYiKYj6QAFsfMTI96UdSxH/KvqIO38OLwG4Rn3qT/np06fnz3hA+sB3TIDy5M8Fmrg0tWxpeKQkLolYyyHEkBHwAAhhCqEr8ZnQtbLgIKF0/Y0uHFfZaoT/BwBl1KWIgUhf/pSZOXNmTlwCdPpBvgV4PJtsli0OL7LkAUiAJr8sLsDD+Z5T31E27tGXONl8Lf20Sk1ZnqEkLjFgg0T1gw+mY0BDiQAfbQ32HpYAaMqJS1hPlsjuavPNN8/A4ddYZlgmSwggclLlsop2GvUf42ZVLHt2T2JaS1zC6RYFntUBQm0PR9qCRnyQMz5F6DcuqSMjPnaj8nN71xR4OIDWxVYSl3D6KAUNJOAQ7lAjwEcfgmCHX5A7Li78AzM0UgREn/E97t6b5Xil1HAobW3DidYOv8kfn8Hsj1ye0c5AdwBBZMLBZdFZsVAsJ1iZ6Ms4yB/wlCkTS6jfaLP8rdHvAOjZZ5+dgSOzIKpvt1HdRu+aWrbMSh2UE5dg3MxrlLiEcEVD5+Hb4RAIqldoI4aG8i7a59PYlqMAiWdCLvs7xhQmX2KR+sQlABdtsjTOcFCzylI26mvfEgeU+gRGf5YxcoyJZZnUPsAgZQHE7o4lLBMdmHCNgFUu5zc+tOss68ADD8wpKb0ng5CR58FQU5ZHg2aYTjhyGJGII5w93wkgnC/bT2cNZtesWbPSJZdckg/oBkJ4DGAoyxbeQlEEGsIPRbMmtrnI0hApikJwvkWdXKi4cK5jdwJ0fCJbY0pH2jFmyqXk6Ct//O8FKJSbMWNG//LtXaQowGs480BgV2RLzqqhkJklE5hR8GxMkd4gwJEL1F1806fJP3HixDS68NuQcyNtlBOb5A9NXpoGj/ZCuJgJP8h7wjGDnDEg6+gVV1yR+vr68m8O35wohDHUZSva4QjiTy6H7bbbLq/xlhZ5rRCFsIb4lL8TWZaVQZTIalKg/BCIc+ugT6Y+W2hbZHKIRG6hPBYOMMKSABWgOhxslLgk/CV19EtW+ArwBCAdBrLmIuqTEysGCLH0ZCaLi/p4CVkYK174ZoAPnM578Kk9Ob98jwk8N11FP+5Nx2HGUDOJSzSq7FVXXZWcYhKOwzQMGlAMSrl2kL719URd4hLJYO2gEOHhjVPsSMGMprCBEpeYnRQLkJSmD0sIYNrOI4oBSDuwO++8s2HiEplkHDaahLbKturqU1xYQ/yQmQNH5Jv+gEh9d8DCq4O+sKYsvTwffCjAxpusgg4xWTZ9WREClGQEQBKt+M4KqWvSOKZQz8oSkyczU3dpGjx19Ro+BnrN4HPPPTebVP+vsR3kpIUSGlauXnadBJpymJsZVQCH+ZW3yT8hHdX7/4vzConqzV6zqKKRIYFhA0+IA4iY1nCe7RL6Ct/HHbV72Qo+qnv7JdCWZcshF+fS/2X4AnZo/ukX/kj7h1X1MC8kMKzgmRcMV310jgSGfdnqnKFVnLRbAhV42i3hEdx+BZ4RrNx2D60CT7slPILbr8AzgpXb7qH9B8iFxUmdhyUzAAAAAElFTkSuQmCC" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "通过相同的步骤就可以得到：\n", - "![bp_demo_bp_9.png](attachment:bp_demo_bp_9.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "在有新权重导入隐藏层神经元（即，当继续下面的反向传播算法时，使用原始权重，而不是更新的权重）之后，执行神经网络中的实际更新。\n", - "这里我们就完成了对输出层的权值的计算。" - ] - }, - { - "attachments": { - "bp_demo_bp_10.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 隐藏层\n", - "我们需要就算：\n", - "![bp_demo_bp_10.png](attachment:bp_demo_bp_10.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_11.png": { - "image/png": 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RzBdxzTDnEa6P+q9PSAui5p6z4dFe8Rxixbl3HBze+MY3ln4ix+6HMPZkFhV+E8LEIYKcOAsR7UTuYI6YIHwWK8aIcWQsOsJ16lfEVb8iUBEYOAKVsAwcs94cMSnybVNYaZnETGiEACfOJIuwxKqvt4AOJ9IjI1b4JkJCx+QY+/XqkYZ2hdbBRByraitBjmCTJ1aGtjkQGoLZpCy/fNoV7QtB0KFJQxIU9fIJR2SBADXhI22cOJM+nyChLXD05QhUBAVJUxbSQ0vgvsS1bQFY0CzYOoIlwcXROrgHhBMB/lDeHkAqaViQHNgqR9u0l9/Er9k35UlDCKqP9kg9NDtBGCO/fFzzvkRZ2qlOZcArCEXEK1/7mq5ZnjKV0XTKC2d8OsLJ64htSUTO2EbKzz777DKW4Bz3R1o4R75mH5plRrh0cHFP4I2MI100OZz4vnDRZ+Nav9wvJAOm4dQVv4lmWDtO4vyuHE2nDcrwG2ySP+EIijGkfgQQkaNxQYj1Sd+aeMS58qPcZl31vCJQEegbgUpY+sZosylMZuFiEgoh4JqLNK7jiLDIy4/0JumY3KwYrR5NzFZ7SJCJ0+RscqQBMFnTCCAgtn6kJWRN1CZwaZVB00DYUmFbQfM5mp4QOu3t0iZh0W7po53O+3LyxhFlRZ4ot+k3BUbUE/n4ccjT7iK9vnCEKUGC2MGEIFM+/AgTwoa9gdW4rQQEAKZW0sgLXOGkHEIa1jRAyCCs2dIoPzRl0U51R/vCJ8A49wn5Ea4NsYIvkflPpHftPMqMvikHieIiLPLEdcRFePjiI00zLM6b+aSLcGMHkTAWkT5jEMZIcIxH2Dr0J/IpI+6FsjlxUbbzGHeEP9JCgyPe/Wq6KLO9DGk598HBRVjkce1w7WhelwyNP5GuEVROm3n8NrWP1tIiAvEUb6vWvTF+3FtjJHCBXWAjfzsu7fXV64pARaAzApM+nF3nqBraFwImqoG4mDQ35ysrJlXCgeAkFAjVEL4EsMnd9odtHZMh8kGAWiGb9B3yIzBWxew5OCTGxEkIEbTKMPnGRB1187mm79xhsu3vEXmaZZWC85+ocyAYRnmb85v1ECYEoX7SjiArwuDCFgQZsa0CV0TFNhoBg6jAJYwzxSEaBA0h5H7AD3mYN29ewT/6FPU3+8auwSPB8sLe/aP5mZ81RR6JpVlwX5raDf1rltEsvz/n8ndygVvEtadrXjunzTHW5uV+0goZjwSztmm/NDRZ7LH4HJJMkxdkJMqM++yahoq9CBsiZUe5SCHC750oMHbfmuRF3q3BJdqwuX73FS4+6g6ygfAaG7aEkGDaQWPIOa0L7GwP06iFIbcxF8Qqyoy6q18RqAj0jUD9WnPfGA1LCloSQpJgjEnSat/qzeSJqMRELMxhco8JXlr5pQnhESt9AkO6uN5cB2M1iPT8x3/8R7Gj0a7+OO0xcb/73e/uNVyNfvQn/7am2RJ+yoZftEc/pXcdmLgOrJv4wRMBbOIXQjTaHLi7Jqx8WRpZYl+hfOSFkTV7lPPPP78YxyIzkS/ua5Q3XL5+wUFfAyvjikPuONcx1qSDK7+Ti/6JW7hwYfr4xz9eBLwvlsuDVLK9Qup+9Vd/tRBKWES+kYKL9muT8eF+RhsDK30RDxdhcIRX/Gbbx4vyqqsIVAT6RqASlr4x2mwKk5KJ3MfXCPWYxDebYQARISBMbjHBNSfsCFdke9pmWLNKeSIuzq1uf/3Xfz297W1vK+VEXdLFeXPyLQX08492hQCLsiKridxk/41vfCN97GMfK6vszQm6yDMQvy9MtMfBwTWwjfDI36wz0otzWFUjHO95z3uKJifKkk554RNsbEG++c1vFkFt+8nTY+wd2u0pmu1w7v785V/+ZXlCCpbRhma7hupc/dGP6Eu0z5jg4NBMJ1xawvp973tf78v92tstD82V7TifHKBRgQX7GJovmrGma9arTk97ffSjHy3bdUH2mumH+rzZ5yY2zpvX2srBxb2kXfvEJz5RiEyQ46Fuay2/IjBWEKiEZRvuZExMMXkPtKiYzCJfTHZxvb38EAb86NNQ1x31dOpzOy5bi+9Q90H5nbDTp3DikTNbTLQHtCq2TJAVgrlpt9Msr4mP8ChTeVFnhEec65Hkmm1tb6M4mj42QQgLjQvDXk8veSLJ1kkzT/RZmHN+M74//R4p4yr6En5/2l7TVAQqAnm+zT/6jbNrRWS7ImAVanvBLbB6tlIcSU67TKo0BLQJVsT9dfJaQcbjoVFWf/LDBDbysO0YTM2V+pXLDZXAQLCibHYNn//854uNh60PeLBliA/0eVyZVsH9j3yRtzSy7Y+2W6m7JwQwwd4uiNuyDPhyqPCJ/ikfUbHNiLQgKDAx/q+44opi0Pr2t7+9GLTqW+TbEi796aTxa1wpx7iqGo7+oFbTVARGDgL1KaHtfC9MviZhE6dHl9k4ENDCPMljlRluWyfoKGdrfYJFG5CVL3zhC+XFWCHM+iqTVoEB6zvyx/q8DyXK2ly+wMXTF96syrgTLrYGvNWW3UfUvTW4NOvfmvyba3encOU71GnrgnD83d/93UJWGJTC5f3vf39514t+erJE/zbXrqbAZmBt3MhD2Nti8BSPOgYDnyZOnfq2LWGBS2hWjAvvUWG8SvPknSl/9Ed/lL74xS+Wp7ik06/N4dJXW2JMSccA27hSl3GFOBpXNFzbgltfbajxFYGKwOAhUDUsg4dlnyWZGB1Wx15iZjJmy8CZsO3ju0ZaxtMkGn31EjwrbO+r8V4W4d/+9rfLlooXtREyTeHdJ+BtCaIeGgqPexNWVvURvrWCsa2acqnM9vIY3tK2ENS2hJpPjHQqQ1i0zbkndrzvw0v12HvYZvIUyrz8pI033dIYbCs+2kyoc/BGpDv1pSTYij+dyvJaf08aGftIizoHw0VdCLcntYwpTyIhLIgjrRYsbdFtC26D0dZaRkWgItA3AoMzM/RdT02REYgJlGD2ttTmFouXzhFo3vkhnQmUH4frCOMjPeK4SFMuBvFPs3z10ZoM9GiW0VfTPJrtUAdHeNIeWBl7jLTZz8AjMIm4CG/WG2n0gfM47Sc/+clyDyKf8MjjfFuccrSdr27aND6C4skp7+sglAPTqJcf5+31C0dQaArCedQY6fLEkTEV/RTvPI4os+lHXOQR51ybkCpEkYZDeBxR79b6ymniEuUjRvMy6fLIuDTuv3Y457a1fr814yruP5KKFLObsWWn/MAh/AiLa3njfFvbs7X41XwVgfGOQN0S2k4jwCRHSJn0CBlP5ZiYvReEpsX7G6Sh6jepN5+YibzRVPFN5zom08FcEUc97e1p1t3f8yirPb2+Rfttb1x22WW9L7sjyOAAJ1tFkU5Ye3n6r+/t4a4jLGwWYOxdK7ZmxEUb2tu2tddRX9Qdvv54LXy49nojX3u8vok79dRTy0HI0sZpPyxojAh//Q/XXpZwYVFnp3hlIUT8eZlAGJdc5CkX2/An6uQ72CbxvcDPEa69vsgX8f3xleHgkBMHTQvcvOtFH2EW4yrGRrPsZr3Sc9E2PhITYy7Cm/nreUWgIjC4CFTCMrh4brY0kx/Bw/E95mrVx0bDpEcIERbi2DV48ZQVOaFkMrW6ppGxXeQ9FSZak3AYa3aaUJsT7mYbNswR2hiTPVU9bYp+6jtBDAvag1hxE3LS0UYROPCiaWC0iYjAERa2TJShrIfy22VDuPu4n5W19Aw/kSSPGSsnBFBTCIEn2ihNM66/+DbTKSPKjHKb8SVyw59mvHNYGDfuuT7CjeZJmR6rN55oKcTDAm76Bh/kI9ofRFl/jS1ESp6wJTHW2NSwr4rxF/jrvyPuWfgD6Vf0MfqtDPldxxHlRtqB+lE2Hw7GlX7DwbjxGzK+ou6wJUNmjA1aMYsJ20Xw8fkGmCC60db4zWmbera1zQPtY01fERhvCGxcko23nm/H/prIHJzJ3hMibA9MjL4X5G2Z3hRqEhVvoiRYv/71r/cSFTYv3ozKecU+Ww9CykRp4rRyJGhG08TZxIVA1Cfv5bDahgtB69rKmNDQN0KbPQKyQRDBybeUCG64wQFuBJT07D7YK4gnsAgmOMFencK0A+7IECzl48JvCqgI48c9LYm38KeZTr44hEd57dnFRT5pbGt87WtfK6SCcbYnawhc20GEq354g++Xv/zlMk7Y6CC18hC2nD4iMt7AauxwjILjW0oEuc8PKI8WEDEMIgIX5EYZXLPd0gh3RDg/2l8ydPjTjI+8kS/K6ZCtz6AmdvrgsWnjAcE3rvQNBvAzrowHOPiN+V0GWfEBTONM/6688sqSB87aqg7bt/DkXG9Lm/vsVE1QEagIpEpYtsMgMJGF0CMQCFxC2YfehBMEhK/VsXOvarfSM3ESolbOBPX8/Dp08b5azObF6k8coe7la4iQ8rimMNgOXdyqKpq4MDpmfOnbLFb1+qHvhAosCBnCwbtMaFGk85QHQ0okhOAmfHyWQF79J1wQFuXRuLAdYUPiOOuss0pemGuHMgh3ZDCwC5+AUibBHjYkrvsroCIdPw6ARXgn8MSpn09L5KVzSIh3txgD6ncgErQG+mZ8GEfGBVzgIy9tnbIQGIIXVjR7tCqw9ekHOMjvdfhHHnlkMQo2Rtl7qIex7+WXX977DarARvvgg1DR/hizXLS9U98iLPrPj0NchEe6gfryR/0ICLLiMxb6qi/wQ2T8zlxLT3MCD+3XH+RP32ng4MsYmLG09EgxLDyWbdxwwgOTgba3pq8IVAT6h0AlLP3DaZtSmchiAiUQTYiHHXZY7wRnwiRMEBgTK+FBOBIYhC2yQvDQOChHfhoCWx4m33grqDQxAY+GyTPayEe69I/QjD7ENoRVMcJha8eqFllDYMTTFMRKOTQysPE0CDyskF0TVoS5MuIRYvVEXeIIZfHKFc45F0Zz8ZnPfKZocYRrc7Tf9WC7KJtvq0a/kRC2TiFUjRl9O+WUU0r/pIETwqH9xpAxEv1F9GyHGWdRDswIZeMIuVOm9IF9tIMWAqHUFnGhmaL9Uo/PD9BIwJGTL/IONjZ9ladevyltdE/nZXscW6naLZwmCdGjqfL7goF+GUuMvGFBIxdEUHlwRIiRaETGtXIQH065w9XfvvCo8RWBsYJAJSzb4U6ayEyQBCihgZAQGJw4YVbBhDXBavKkOaEtQE4QFqTERGliVJZwEzDBTThbGQtTnkO6ke60M/pHe6DvbC5i8rdFRuhY2eqzla04goNAFoZMcMidtGxbxMOX8KWVgRFBQwtAQ0J4WU2H0NUOJOD4448vWy0ElnaFo7GgwZCOkOKijZFmsP24h+qJrUL4aJdDO2yBGUu2OmChf8aIMGlsMyI0xob+iZeORsXYgpl+iVMfbYG+Sw8bB2ecEdAeLTdGlQFPTnp1wFubIs9Q41Mq38yfwA7p8JuDG/KhTcaNcQQffdEv4foun74bN4hI4BhjLcqlmUEK4zcczVBOdRWBisDQIbBxVh66OmrJGQGTncmdoIzDBGfyt0VkleddGtKZZAkEgte1yTRWeyZTAsS2hjTOTahNQTraJk5CVl/48NB+go9NgVUwGx84IA4OQkY6Ahm5o2EgeJERGIdGwRYF3BAWwpqAt4pG8JTvBWyBG+0COwZpbCPYuoMtwabsgw8+uJDGJrbN86EY5MrXb/3VrxC6zmmOtNd7RPQvbHS0FTaI2kOZzBGuyDBCiFg0x4o2K8P2h7r03dhEgJCk2O6AAzxgSEPjvniBnTzahPzEeNTecEONT9SzOV/bYlxpi3vp93PttdeW3xrCom/ajLQhy35zFgjGknNYw9aYii0k6WmS5K2uIlAR2H4ITPpwdtuvuvFbk0nO5EeYWOHRmBA0bDJsaTQ/hGeSpWGhbidoCB+CmeBxhD2GSVi5yrz++uuLMKfuNzFzwy0w+nO3CVACGUkjIAkFZIKhJCFxxhln9GpdQmsiHQxhhOTZKtFnuNFWwUoZcLOVQYKO2H0AACAASURBVBjZ9lAP/GLbwmrafYATIcwhPzAnxAksq2xOuWw/EBfkEu7yDTXGytdGBEG79MPWD6FLI2S7zLhifEzQWvkjLfDQd2NLfmMGnvBGdmBHEOsHwhHYqMOBGAqPsQgfRAZ5hA3iZztFvDbaFhKmPQR/uKHGJ+rp5GtHjAFaJecMsNmrIHoIjf7DCvmAifFhLDqXXp+MJXmUBz/p/TZhvr3HQ6d+1rCKwHhBoD7WvB3utEnbJGeys0dOoBAanvqxPWHyJFRiMiQkvbLc6h8ZQUKcm1wJCMKFcx2+8+YR4cMpMErjtvAncNFu2w3zsq0BrQis2KkQzlb84qUlcBnLEijCxMEt+gqbc845pxc3wpVxLofsKBchQmDkDRxtI4m3RSI+DG+l4dQdRwnYDn/UF/cTebjooot6x4y2nnfeeYUwaIp0nhpC3AhVeWFx4YUXlq0NgllfhC9YsKAQEvngEXGu2U8ph/BWjjKMSfjYlgsygvBpA6LEKbfpl4th/BPY8Y0XWiTkAgbeZYN8aDvcYMD5jc3L40/f9dvvFFFRBoxo/6SPsuPeNP2I41dXEagIDD4ClbAMPqYvKTEmOhEmSCt7pMWESDCEa050hGkIVPHNdJGeL49DuQ4Ex3WQn2bakXYeuPAJCU8/WQlzhAQXacpF/iM84iIs0vDbcWtP28SRcIIZjYG8BBlnq2h+3i6gQYBjYBz1hR/1xvVg+lE2n0MQaE9iuxBeXKRr9ivytGMlnKCmOerklBnlRtkwQiKRRXjEVpEnkJQfpBpG7S7a1h4+1NdRLx/RsAXo3rrXrrlIE23xu0EM+3KRL35n4eu/OHVUVxGoCAwNApWwDA2um5Qak1n4Iq32YgVvouNi0o/rEriFP9LbqqCOZ2NAmBAsVsmEUkyuWyhiWKMCj6bfJBjR/qbfqcHN/P3FTjlB6mydII+MM50T6ogPuxbaLuEEt/QOdTTbpP7Bdp36RBgGMYl+Rt1xrR2dwqJ9zXQRFnmacc7Vp9+24GgClescHoxSjTfjDMkJfOSLQ7nOoz3N+obyXH1Rb/hN8h9hfC7S99Um6dx/4+Lqq68uPnsnpAXZ9nuOsvsqq8ZXBCoCA0egEpaBY7ZVOWJSDD8myygswvmOvlzkt+qlrbGtxMlL0ER5fZUz3PHRzvCb7YkwPhd+M02cR1z4Eb45H34EDUFLe4HoubbFZCuK0aVzApnNiO07wtpL6qzSQ0BtrvzBCNeXEID8uOdRdjO+U787hUXeTn6kjzqlYcdB6wUf4ex32L6w4aC5oGHxuDPSjOxdddVVZduF/ctwuugLf0u4RRsjfVy3+1GGMTI/a9/mzZuX3v72t5dk8XvrVFd7OfW6IlAR2HoE6teatx67EZ2zKXRGdENr4yoCYwSB+psbIzeydmPEIlA1LCP21my5YTE5xsqvPXWs9vpaObbnG43XnbDoq/+bw21r+j/WMA5sAsPApP06wvvyxwI+ncZYe78Dn7HQ3/a+1euKwEhAoGpYRsJdqG2oCFQEKgIVgYpARWCLCFST9i3CUyNHAwKhEWCP4j0a7E+4CB8NfahtrAhUBCoCFYEtI1AJy5bxqbGjAIEgJl6S5oVz8RK4CB8FXahNrAhUBCoCFYE+EKg2LH0AVKNHPgJhM+CRUy81a3+h2cjvQW1hRaAiUBGoCPSFQNWw9IVQjR81CCAucYyaRteGVgQqAhWBikC/EKiEpV8w1UQVgYpARaAiUBGoCAwnApWwDCf6te6KQEWgIlARqAhUBPqFQCUs/YKpJqoIVAQqAhWBikBFYDgRqIRlONGvdVcEKgIVgYpARaAi0C8E6lNC/YKpJhoJCGzuMeUI57cf7e1mlCtNPFnUHl+vKwIVgYpARWBkIlAJy8i8L7VVHRDYEsmIp4OaviI65ekU1qG6GlQRqAhUBCoCIwiBSlhG0M2oTdkyAqFJkcrbbH0p2NdzQ2OyYsWKcu6Nt0uWLEney4KcRL7p06cnB1dJS4Gh/qkIVAQqAqMGgfotoVFzq2pDERAO2bjxxhvT7bff3nvtBDHp6ekpYZMnTy5+hE+bNi0df/zx6aCDDipEZuLEar7VC1A9qQhUBCoCowCBOmuPgptUm9hCAFEJzcjLXvayNGPGjLR8+fK0evXqtGrVqqJxQVocruPwyv45c+akfffdt1fbUjGtCFQEKgIVgdGFQCUso+t+jfvWBiHZbbfd0oEHHlhIC1BsDYXWBKlx7XCOrBxyyCFlO0j+SDfuwawAVAQqAhWBUYRAJSyj6GaN96aGhiW0LIceemghI2xWOGREXJCaCNt9993T/Pnze21aSuL6pyJQEagIVARGFQKVsIyq2zW+G9tOSNil0LJMnTo1IS3tZIXNyw477FDSyMtFmvGNZO19RaAiUBEYfQhUwjL67tm4bXGQDb6DO+CAA9LOO++8iValmW6PPfZI++233ybal8g7boGsHa8IVAQqAqMQgUpYRuFNG89NDrISGhNalqOPPjrx4zFm+IhnuyIu0kbe8Yxf7XtFoCJQERitCFTCMlrv3DhuNwLSJB/77LNPYqciLMiJx5r33HPPxDiXa8aNY+hq1ysCFYGKwKhFoBKWUXvrxm/Dg6wEOenq6kqHHXZYQlJoWYTPnDkzHX744b1al8gzflGrPa8IVAQqAqMbgUpYRvf9G7etDy0LAJCRuXPnFo2Kc8TFe1p22WWXXnyC3PQG1JOKQEWgIlARGFUIVMIyqm5XbWwgEBoTPjdlypT0ile8opCV2bNnl/OwaYm0kbf6FYGKQEWgIjD6EKjfEhp996y2eAMCoWXhe0lcvEzO94K8BTcIS6SrwFUEKgIVgYrA6EWgfkto9N672vKMQHOrx7nX9NOoeDdLuNDCxHX1KwIVgYpARWD0IVAJy+i7Z7XFFYGKQEWgIlARGHcI1C2hcXfLR16HY8smtCXha+nWakfki3JHXo+HtkXNfjexbNY6nvFp4rA5fJppKlZNNOp5RWD4EKgaluHDvtacEQjhGn4nUJpx/REwythaotOp/tEe1gmzwKdT3Jb6O5aFdycsAqfApFOaiGv3xzJW7X2t1xWB7YFAJSzbA+VaxxYRIARM7uxPHnzwwfTkk0+Wc98BOvjgg8ur96MAadesWVMMauNrzCEY4ntCHmsWF+VG3vHiR7/5DsbHYYAMK1+r5nPhjxdsmv2ETdMFToEfnJpf9h7PWDVxqucVgeFCoBKW4UK+1lsQCKFKGNx2222pu7s7HXHEEcW/7rrr0qpVq9Kpp55aXrNPoDzxxBPpa1/7WrrllltKuv33378IXenuvPPO8njzxRdfXD54KH1T4IwXyJv9XrFiRbrvvvvS008/nXp6etJOO+2UfOWaL10IYXEwFOZFfIGba3HCfP5grBHBwMA4fPzxx9NDDz2UYKb/xtb8/JVvfZZOGB+xdriGSxND5cAJaRYe5Ge8jL3az4rAUCJQbViGEt1a9hYRMJlzJvZnn3023XjjjcnHCo8//vgy6Xt77Ve+8pVCVk477bSS1uv2vYZ/r732Sm94wxvSvvvuW77UTHjIR0NDiES55WSc/QkBSqjeeuut5a2/Z5xxRhHEP/vZzxIiiATOmjWrCGBC+N57702f+9znitA++eSTy0v4wLZ06dL0i1/8ouB9ySWXlPCxIoRj/Onnww8/nB555JFCgnfcccd01113pZtuuqmMrYMOOqiXlLzwwgvp+9//fvrWt76VfBIi3v0DQ8TwueeeS6973esKvsbhWMEKRtVVBIYbgUpYhvsOjOP6YwVqUvcOlUsvvbSsXAnJeJcKjcuyZcvKxG+lK45Q2HXXXRPBEuREnK82Exy2kpQZAinqCUEekIcwiXQR3p4+0onvK22UMVx+tI+/aNGitHDhwqJRgRO8fN2asPVm4KOOOqrgJc4XrYX5YOTb3va2QnL0AZ73339/euqpp3q1Lv3BsR3D4cJjc/UGTtppjCEo+uhjmfA45JBDCnY33HBDwcz44mimAivE5JRTTimkRh5k5o477kheXNgs33ng0ak9zTjn1VUEKgKdEaiEpTMuNXSIEYgJnU87Ytth8eLFRWisXLmyrP41wbkjJvLnn3++pDvwwAOL8BD3zDPPFAJDDY+0+I4QF3naz0tkW3x7WHveEDqRjh9pwm/GDde5tgS2Pk9w2WWXpRdffDEtWbKkYGq7gg2QbY9Ip600XLClsYKjuLAJQnQIbC/j4wKL8Nv7H9fRlrgumUfIn2ibPnhL8rnnnlvIsvEEB6QXCYEbHIxReYxTW0fyIHfCkDqHMBpAGEvPKT/Oo852CALH9vB6XRGoCGyKQCUsm+JRr7YTAs3J22TP/uTnP/95UbGfdNJJRZPyve99rxjgxnaQiT0EKyHALoPdi/wLFiwogoJmRtntrpNQiLBm+ggLXznN82baiOO3hwvb3k47uWgLYsKAmUaKoEU8CGNCmb1KpOPDUhjCQvAij8uXLy9bdIgKIQzbTli01xv9bqaNsJHgR3ujfXzEBFbInbHlO1TCbKvBBSbSuZYOWbEtaeyxq4ItoizcSwuV0SwfxnHdjoFwR7i4L3Fd/YpARaCFQCUsdSQMCwIxSZvYGTpeccUV5YkgKnlCgJCkYpfOapcjLB577LGiwid02bwgOvOzYWS4EAxWxVT9VsmOpkCItMKkV5+0HO0C10wf59IS+LZa2H+wt5Fe/pEgZKIv2o+gXH/99cWu4lWvelUxIEX2rr766iKIbcFFv/i2QxAU+dhiMGrWP9sfzbcGN/OoJ5y65XfYrmtivi3YqE/+qFd9cb215TbzO6cx+dGPflTa/ZrXvKaQDfYrxhYDZVs8Ua8xSaOHoCB1bISMBxgjK/ptTHPR5vCF0WwpAwkS7j7EFqb4re2TvNVVBMY6ApWwjPU7PML7R9jTrCAgDBhN4iZt4c491sy40TlhyKh23rx56aKLLiqChKAgiBEHQoBWAZlgQElr8PKXv7wIBfk7OeE0EOw0GPMqOwRaM33kJ9w8paRd559/fhFQzXTDeR5t1H6Gsj/5yU+KIPW0CzxpSNgAISAwki7sgvTLOQ2DvPCzvaZM6bgoP/oYcXCXjzEqrcRb3/rWItADx8gf+QbiR94oK/JGeFwPxNduB2LBPoomDxm+8MILCwbKQmD1Cwbh5IFTkLIHHnigkLsgKNJFu6TlwneORMMVwVE+Q1/kDklCgNwjLsooF/VPRaAi0ItAJSy9UNST7YlACIxHH320TOAEgxVqOILPSpStikldesLFYdVLuNIG2Kpgq4HwECZWqw6rY6vZI488Mop8iSBQJuEgHyHN6JTwITg2J4RsFdgK8OSIuqUdKQIm+kMwIoHa5xHxaCMhCbfDDz+8kLgIpzGwzXHMMcek17/+9QUv2gMkRN/cB3gEyQlAo9/uA9IYWhrCP1ykieuB+tGn8CN/+3WE98eXNxzSgHicffbZpX/6QkuCrOy9997F+FYf5BGH2CJ+DG6RYWTDGKaFga/x6Tw0dc3+w5lWEP7HHntsuv3228tTcOxePJkV7WrmiXZWvyJQEUipEpY6CoYVAcKV4CRc2QmYrF17OgPxOO6448pELpxQNKl7giMMQKPxBAnSQsjcc889hbAgQAQIAUSA2E6yOlY+LYMtD3mo9WlZEBxCWtmEC6EtrTxIioPWRh72CtriaJKbaM9w+DBy2LZyIHqxnaGd2o5MELTaT8DCRt/dB/2joVIG7D0RA3NYwIpDbBAYDvlh86IOGifl24YaTKfd2sOnHdLeMKre2nqUx7m3tB3KtDXjmkNWkC/kdF7WuKmbgw08hNOIIDDywM054iIt7Iwj4821OOUb38Z5jHllincfwkXb4rr6FYGKwEYEKmHZiEU9244ImJhN9mwk2K14rJTxotUmAkE4vfKVryxaDxP63XffnS6//PIiBGwLcQgG4eIdIoSC1a5yg9gQHCFUEBpaF9tLwtThsV5EhnCRVl4CRDtuvvnmIpQQmyuvvLK8V0PbCDg+YS595OEPt9P2aAcSRUAGmUKy2GUgGN5vQ2giHNITzkgaIihPOGmQP5oVGjCaCJoo5EVeccoNjZfzEPpRxrb60R9j4Nprry3bdjRBzb4OtI5mXuUbA4EVvGg+kFXjDy7RBkTNuDRekcGmQ04eyrZY3gVkfNGkILrzs32V8epYkA3D3/zmN5ds+mPcGnfx8kMRUVez7HpeEagItBCohKWOhGFBwMQcgoMAskoPuxOC0uRu5UoASmtlevrppxcBTHgSLFbafALUQXNA+BACBMWJJ55YCAqBfNVVV6V5ebVMFU8YIS80At5Loh4Hwavub37zm2U1fdZZZxVNBa2NVTUBhMzIo70hnEeKkAlMaZZsOxCi+g4nwh42MIy33CJ7NFnf/e53C46euKI5EE44I5H6zVbHFh0M2fnAleYKiXTPYA2PwMF9bbq4z82wgZ7D2tZdEDDXcT7QsgIn+W05Ihqwcp9tEek3zZ7ttHDCv/71rxfCZvwhJAgacoKM0EJ5mi2w9j6WCy64oIw/WME2xg48EGh5zzzzzELKt6U/0cbqVwTGOgKVsIz1OzxC+2fSJjD4VvAMbm1N2LKgwRAXk7hzJMHRl2sKA8LVNUFBG6Nc14SLumhYnCMu6udsedCiEGS0K7QKhDjNDMLiQAgIf+Qm+hDCOtqnnhCMEbY1fpTRXn6nsiKtNrGJIBSt4rVVmwlhfuBKSwKTt7zlLYUQInrC9ItmgdYByUMGCWDaBTZB+gY/mixEj02HMptOGo6vPdvq9E17bN9w/cFjc3VGXm3TfsQUYWH3I85j9fod6ZQDD0SNdsV40GckjaZEOuPFeHKN3EiP7HHGFHKC6MS1MYaoy6cdTbya9ZYM9U9FoCJQEKiEpQ6EYUMgJmnCziQdE7wGRVik4YdQbJ/QIw1hy7E1QDYIWAJEPkKGEJHWSp3wQICspkNIIzbySCuekGGXIJ6GwUqckLKypoFQXpOwKDva1vSFRxtLA/v5p1lGM0vUs7kyhWtnkED9Z0PBNXGFEdsTx5ac8hxwCcNbAh7BgWGQCDjFoe1RV/jtdUij3Ohne3z7tbQDcVH2lvJpO6Nt+LintE/IiDzN/OIDwy21wfiRX59ggdjRsDDSto2kDqSXBsw1ckN7GOS6U9kDxalTGTWsIjAWEKiEZSzcxVHYhxBShBlHOMS565iknYfb3Eo9ygrBhPhYwRKqbDbm5dVyPAmEgCAi7F0IX8KFBkJagsthG8U1p03KJWiQGOU62B00yYq00Q7nTWEnvBknfiAuyoo8zbKizxEXfpCEIIHRD3kjDz/C5WuW6zrSEbxwjO0SGimkbUHetqOhIZDhyy6IVsf3imgjQsBHOcoMF3WFL02zbZEu8vI7HZEu/CiDH2VHWJQVaflRJvLp4GiYuMjnPHCSPsoVzjXLVYatSRopj5UjzLQoNFPG0Kc//enyLhzEiDaR/653vatgpV5YN8uLusJv1Vj/VgTGJwL1a83j874Pe69j4ufH+WA1ijAlDGgQYrVrVcs2w8RvRcvWQL20MdITFIQN3zVDXOdBSmxHOAhnjgYj4pTpaPaDgBOPHF2VbT+868O2VH8Ej3K0xSPGbE6irMAn6uHHecS1++K5/tTbnrd5Lb/2w4YLDIXrI7xgTEBrO3zg38lFm+WN80gX7W2/dj+/8IUvlK05RAkm7k+7a/Yzym4vsz1PXEf6uN4aX/0wgEUQEMQYKRaO7HqCS136ACe2M7Bqrz+umzhFGJ9rxm1Ne2ueisBoQqBqWEbT3RpDbSXkTOJ/8Rd/UWwHTOoxCW9rN4NoEAgOLsLU4SBM+EiFuGZYM628hIJypBHHuSa82YX4Xk8Yska8PJxrT45YZUdbSkQff7SLvQkXZUUW5SiXfc2//uu/FsPXEHiRZrD8EIjKU6cDDk28pIk47Yat+xvpogw+gmj74zd+4zfKtkj0RVrxruPeRB+ULZ84hzoQGOecvMJiayrKavr/9V//VYyppRE+FC76qS3aHE5/ot1NOxzxwvVFmsgvXH7bS//8z/9ctC/RF2m48NvPS2T9UxEYowhUDcsYvbEjvVsxAYehrUl+sFy7QGoKgmYdncI7hTXzxHmkQxTYdhAw0adIM1R+1EOI22ZADrRnqF07ruoLHKLuaFvERXj44mEFsyBZyiCwhTMS/tKXvlTIWLMM8eyICHzkMAS8vIQ+4vhLv/RLvXHN+6FOmrH+ariirVvr94VTe7w+ONqdfiF3QbKkkZdPS2N701ZTkKH2/PW6IjDWEKiEZazd0THSH0KYI3g6TeYjvZshWAgTW1GxldKfdkdeWythANpfDAhy+RHAwSSB/Wn3tqSJPrvvoXFQXoQL80kET/XYJguCE3XS1iFA+hx5Iq6TL02QHmNstLjom3Gl/fodYaOlD7WdFYGtRaBuCW0tcjXfNiEQkyyf4xM2VsE+vsewkwaBrYkXmllphuuv8I70Tb+ZN+puxm/tuXKjT80yCJYf//jHxY5Ff/rjlGNV7T0er371q1+SJerhxzn7CEaxjIURJFjahmJE3F8h/pKKOgQEfurdVtfELMrVb0e707+wm/F00pZclBXYNHESR6vHOJjGBkHytE585DD6FWVsqZ4txUX+KG9LafuKU1b0Jcp1Tx1chPVVTo2vCIx2BKqGZbTfwTHQfkLdpEt4XHfddWWlfMIJJxQjRU9a2Mu3qiZYIm1f3Y5JPtLFhE/w2R4I7YXyOOlH28Qfbdd+b2clgL1/hWD3pl4vdvO0zvz8Yjf9D+Ii/UBcYKc+W1C2ZdgcRf2DgV3UwW+6CEfCwuj2jDPOeImGJfLEfW/eS+2Ma1sp3vg7b9688ki2lwgilEjQqaeeWrCTvhNWUXbUxW8P0155Gd0iqMpFwAYLq8AjcIr6o3/NttXzisBYQ2DwDAfGGjK1P9sFgZiAVWbly5DUZM9Rd3tHiLepsm2QNib+kqCff5qTu7eS/ud//mdZYQuP+gd7wo86o46t9XUxymp2V5g2O2w36ZcXuUU/aAw8uXPLLbf0CtVO5TTLjPMo13XU45xw/8xnPlMEvvCIizql2VoXZUTdW+urP8pyHm2McO/aoYkKbZdH1T2ls3DhwvISwegXv911CmumaeZFtBEsGkPhzf408wz0PPoW5ckfYQMtq6avCIw2BF6qex1tPajtHdUImGxjovdOj0svvbQIWltCHvm0OqV5MfFzzYk6Oh4CIa7Dj4k8fOHKpYHwfpJmuDLCCY/r5rn4uG7mjXxNP+LDb8YN9LxTGcICN9tmF110UbH9oI2CGQ2SNMhfkDzpYxsh2iCsvfxm35tx3k8jv/erNMMjvTKFx3XzvBnXzBvt6MtXZhzSRh195Wu2QR4vbHPQtOhPvLUY6XNE28Jvli9/p/AIC185NFHKdm+Euwf8aHect/tRXzM8wqpfERjvCFTCMt5HwDD2PyZvPkHIsNKTD4SJawaniIrDitgkbkvH6/T5hACBYKvIloF8yE28kVUar0UnvIWxW/DxPvmk9bRJPKkSbVAHF34neIZbmDRx0xbGl/qJjHGMSJEyfbQlAQfbOPoNOwJVGfqOfDinPYE/khg2IrQR7gNyp3yvrodz3BN1cPI38YrzaGdJtOHPQLGLsuWLQ1FRR7Ps9vOov1kGQsfOh/ZJ3xA6fdMv/Zc2wuEHM44mxjaY/LYUYWxMwcA17aA0wm3HGcc+7OmewDjscpSnfC76EH4JbPwRHm1vBNfTisC4RaASlnF764e/480JGdHwIT5fAGZo6m2hBIEnQ6yEfc8GaZGGsCEcCBr5fPuFULZ1xGDXW2gXLFhQhPN3vvOdYlDpGzDifPTQdgmhq3wCp5PACGEXKDXTDLcQaeLmHGY+bqhfbFhgwi5Df9l7ICawQ9ZghuARxkiKd8QgdLBTDq3AOeecU/D0sjs4w9KbbG2byAtreefOnbsJiQisBhO7wJ3A9wgvksBFeNTZyZcGQeA73O+r8kv8jJ+zzz67EDH98mFC+OirdIiavtqShI3tNuPPt4KMRdd8Ni8MwuHqLb++SSQ9eyJlGMNwQgCVxTWfSIpxFHipu+kivhlWzysC4xmBasMynu/+MPfdhByTMiJh398k7yBoaAUQC0KAtuX6668vwoFdC6NcH4+zsmVEadXq9fHyhQbhofztH2WwUSDo5PPUDAFMUHvyiJCgvvc6eYKGtiLaBR7xrtnWsBHhmvElYDv/adbvzalXXnllwQcm4ghFGHBhqKxv11xzTXksmCEukofYwJQApw0gVAl1fY5PGPjoI60LwQxf+Qhq50iEeny5GJGkpWi2TTlRFmLANeNLQB9/5OfU5dtI87MBMRdainKxmT/q4pRhXOi/V+Z7ZwutkTBY6T9SERqUH/7wh4XQnXLKKb0fQvTNqfh6NY2JPPIjOsgJnIV77Bph9oTWeeedV774HC9FhCnCxNc2+ZtthD0tYNy7gWK1GRhqcEVgzCBQCcuYuZWjryMxWfOtcgmhI444okzkhAzyYFK3siVYaBF8bI+wFEedT3DQkrB/IQis/qMMxpUEHU2AcBoHxAcBUqcwPkHx05/+tKjylcupX5wVMjLz2c9+tmhnxDUFjevt7bRLG7SRVgRpgxH8xAm3vUG4IxoEoKevCNXDDjusYIcIwg+uhKx+Kkc8kofsEcbilOmJIz4NjLqRHdfqQRhhFIIWHtpAi+O+wg4x4uRx9NdFWn6MhyinrzLkifuov0ibcTJv3rxy7+GFZBkP7FqQWu1FrpAa40pfjQ/9RHKQN+PIOWJii43WinYGMYGha/Hqj0M7lIuw0NBEuD4oW55vf/vb6ctf/nIpQ3i03Xl1FYGKQF6oVBAqAsOFgAnZwS6AcItJPyZq2gNCkFaE8EROCAKOsDHJE0QEMyFrWyMIinzKZONCIBHIDuSF7YrywhEeBDshpZxol/ggMARbCORmfJSxPX31IxpIFpK8cwAAIABJREFUA4GJhCES+sHRGNEG0SzZymBHIUy/4SMvwSoN8gcfwhSBk0c54mBB86DfylAHga/eIEx894c2gsAPbEIguyaQ3Scu4stFP/5Iz/G1232P63KyhT9RF1/79SPsSYS5t2Gn42vK2gwHmiZ9FQ8TxNe2mnGmH8alsYrQeJRcufqufeL0d14mReqQn1O2MmjBaPr0w70IF2RM+fKHU0Z1FYGKQAuBSljqSBg2BEzinIne5E1AEhYmaULRVgMByXZBWuSDkAjBQAtAs0DoEhqEJ0GjLIaVJn4Eh1Bhc0BIIywEhy0eBIgjtAglGgcGk1T/8moHAYfI0E6MFBe4aU8TN0LQQeMhzWmnnVaaDFOkBLERr5+2RmgIEDW46S+hS4MAJwTHlhkyCTsHbOFJQ4AMqkNa2xjKZMtBQ0Howk5698620nAI3sCJDyc4xPhyjZTBwVaTLTEORsaZMWKc2aqEja0wYbQtxmkQZyQZtsYlrBAe6ZEb1+LV7wjbF/Ua27E1pE0wohlUVrS7NKj+qQhUBHoRmPTh7Hqv6klFYDsjYHImCGg8rIIJAoKCvYGJ/5WvfGUhDdIgMcgHQYCQ0AYQJCZ5ApEQJWgJZecEA2FM8Eojr/qkjadh1OVdJbQ1bGKQmNg6sormlOkJGdoK9jVRxnAI4bg9+kXoaj8yAR/YMf4kJOFi+4zTdyt4mCAWyJn+04roo37oN/LBSeNewF+ZiAfsaAtgG3URtN6PQ6gTtoS2cw7RU24QT0IeuRwO7LQDEXEfjR3kwLltLESUTY546fQNKREPA1o5Btu2jMTrf2ADexouuOofcg1necVJDz9lw9e2o3SweiiTbdoY9YuHi/uC/ImPsQdL5VRXEagI5AVaBaEiMFwIxERssj722GPL5I6IIA8EHsNYq37xfBoDAodQsCImDAgQ8YQ3Y1Lxzgklq1wCU1kE0Wtf+9qiiSFYbY+on7AhiGkCCHgaAuRJudG+8NXDNf2I254YqjP6rY/6ZmWPVOnba17zmkKukBrpEAtbEQSpviJ6BCLhGWkIZPYqylaGc1orGLPN8LQRzQlsY2tJPOFui0N+ghx2yghcwodZHMKcR9xQYRf1qAtGCxYsSA9lohBPALHXsZ2lv3CQnrbOWAuNna0i1+Gcn3nmmcX2RT5vYEZoYCwOEYQvnG2n0dZwyIlrpA2xMc6MTcSGa4437eUCo/BLYP1TERjHCFTCMo5v/nB3PSZivsmf4CMoTeRW9VykcW7yDwHgmot4fnt8U9BIS9A6OKSHkLAdRBBb1RJYtoqCEIUQKxk2/FEPx5d/OFyzzwgE8oaUEbKEorBIE22Fr6Ppog98Ap0g3ZwjiB2c9A7aBySFUFc2DQHCSOjDRppOTvj2wE49TdICG8Q0NCDN/kR7EAhjL8Zf9JevLEczTniMKefyN7cPAwPYwIiGDslDnDyGbowieQhP0zXbHm1rxtfzisB4RKASlvF410dIn0OYhK9ZIUScx2TfPI+JXFi4COPHuTjnnPKbrpnOVgcBQsjwbYMQQAQxIYIIcFFG02/W1Sx/qM8Dr/DVZ1vBwXXqd4SVBI0/0Qd+nPdVhnQEs60j+BHgyB0i4Dy0YCG4A7OoNtrdHh7xg+U362n2LwiGMK49Xaf6o62Rh98Mi3N5Iy58cbFtZ3vONhqCSMMlnB8kKMrhB2GOcjq1q4ZVBMYTApWwjKe7PQL7amKOCZnvCBdxrpsTecS3+9JEumae9nTqsGoNgUCrQ2gIc04IW/WyfbE9xYjVlot81P2MVQmeyN9e/va4DmzCb+IWfRfWjsnm2taeznW7E9bsM00Yux4kU5xzhqTsNeDEJoZRK2NT5M+j1aFVaJbTXs9gXmtX4MDfEk7q7dTvZnsiPvxOeSIu6kXsYISUiLPFhgjT7Bl3NC9IDFsqGj84CYdhc5w221HPKwLjEYH6tebxeNfHeZ+bQovQ5WyjcLaDHAQsYSGePQKfsCFIpA2hFH7JPA7+BHb6DRPEAx6wgpsw2hdhrgM70MDUEZiFP1ZhC8ICI1joL2w4uHCBh2skWVppjLNIK91Yx0ofq6sI9IVAJSx9IVTjxy0CIXDGLQAD6Hg7Vu3XAyiqJq0IVAQqAh0RqFtCHWGpgWMZAcK0P86qdnNpI268rXwDj+h/4NjXdaTjR9qxjl2QtsCs2fcmHls6Hy9YbQmDGlcRCASqhiWQqH5FoCJQEagIVAQqAiMWgeF5LnPEwlEbVhGoCFQEKgIVgYrASESgEpaReFdqmyoCFYGKQEWgIlAR2ASBSlg2gaNeVAQqAhWBikBFoCIwEhGohGUk3pXapopARaAiUBGoCFQENkGgEpZN4KgXFYGKQEWgIlARqAiMRAQqYRmJd6W2qSJQEagIVAQqAhWBTRCohGUTOOpFRaAiUBGoCFQEKgIjEYFKWEbiXaltGrMIxEvE1jW+axNhY7bTtWMVgYpARWAQEKgvjhsEEGsRFYH+IBBvPu2UdktxndLXsIpARaAiMN4QqK/mH293vPZ32BDwmnWaFd9BXrx8XfHnzJqYfChgYo6rriJQEagIVAQ2j0DdEto8NjWmIjCoCNCihCblKzesTFfctqr3uzoRN6gV1sIqAhWBisAYQqASljF0M2tXRjYCSAlNyvIX16V7H+9JX7thdXr02bUlbN26rHmpWpaRfQNr6yoCFYFhRaASlmGFv1Y+XhAoGpS8CYSUPLZ4bXpuxfp07xPd6ao7VuXPF+ctoYmtL0NXTct4GRG1nxWBisBAEaiEZaCI1fQVga1AoNivZC0K98SSdenBp3vSLrMnpi9fuzLdk7UtEc93VFcRqAhUBCoCmyJQCcumeNSrisCQIEBzMqloUVK6d1FPWpa3haZOmZCeXro2ffPnq9KqNTl+0sRilLu9tSzq46Lewfaj7FJJ/VMRqAhUBLYSgUpYthK4mq0i0F8EEABPB9n2eWbZ2vTAU91p2uQJqbtnfdpxxqT0letfTLc+tKYQBo8MST/YWhZlcp3IiHDtszcVGp7B8jeW3bnuZrukra4iUBGoCGwOgfpY8+aQqeEVgUFCgPBfv64lsJ9+HmFZm6ZkwrJufSYImSdMzpqVz/70xXTI3l1px5mTEgPcEORbQ1zkLXUWjrKBqOS+RJmdHqHedBNK/Sl1r5UpHyI3+Ha1EC3aoq5JG8PzWW+aKWVWaWUqxKdEdv6jTfqrjtLuRrJWHwafvDWqqKcVgYrAKEKgEpZRdLNqU0cnAi0CQfBOTE8tXZceeS7br8yalHoyIcADpuetoWvuWZN+dk93et0rJm4gGzQy/VeAtupoGe5CqZCe7CMWXOtvOc1/1qfV3Y4WKVndva6Qk6cymXpuOfKwPq1cndLDz/S0SATClYmFsl7MW1ePPLsu299MSLvvMDH3YSOhkGZy18Q0b7dJaXImZOszEdlth0lp15wuB6epkyfmMlLWLuV2TZqQpnaFRifatdFfm/Pmt1puIEtQyqcb2sGvriJQERh/CFTCMv7uee3xdkYghD3hft8T2cC2pU4oAlhThHuB3L9duSIdt//kIuTJZPm4zQlo8SHEpURS8BNhTZm+bOW6tDQfCMoLK9al+5/qSU8u6UmPL16fnl22Lj31wtr0dD5oXhAKTv4gO62Q1l/hyMfdT6ivGbPxvIfGpNX0hHiszel2yv2bu2NXmjE1pZdlQjNr+oQ0b/fJaZeZE4rx8dQ8E82YNjHNnDohp0FsckVtrpCYHNbqdysy+r85jNqKqJcVgYrAKEagEpZRfPNq00c+Ai3SQUMxIT31fE/6xaM9aVrWqNgOCrc+swBbQ8/mt99+/caV6bIzZ5X06/M+UruWpZ2krM1kh7ai8IwNRSIoT7+wLr2Q/QczObnzsbWFpKifhof9DEKAeCAoznedPSk4RjQrt6H3dJMT4bnKNq3NxiTt5AHJQW6eyPXLe2d+Kgqn6Vm7smwvzcgkhSZmr50npZftOintu2tX2m/Xidm+Z2KanYnNDtMnph1mtNq8sZZUyJACW91uNbYSmCZC9bwiMLYQqN8SGlv3s/ZmBCKwNqsYPAF0x2Pd6QMffyGTEDYim0p8RARxWJPtQ/6/y3ZKB+7VtQkhCEGMJrQMZDfVgCzKZODJ/Lj0ffkJpHuf7Em3PdyT3/fSnQmBLZiJeasma0Yyy0BSigKkJd8LgWidttqEXAymaxG2DVofBTe6rS4HEkN7wmZGe2mcbFnNnYO8TEp779yV9tllQnr5HrRPE9JO2c7HI+FT8pZS07W2p1pligniFCSvmbaeVwQqAqMPgUpYRt89qy0eRQgQlgQywfztm1enD33u+bTnTl0pm41sQkhKl3LCLKvTUS/rSn9z6U5Z40Ezk785lG1Z2IMgGjQiIYht69y3aG266/HuvEWTNSlZc/FM1qwwep2etRaTM0FRL+1GztoiJ7mOyD8SYAwy0SIYLZzivBCYDAgj3zWZwOjDAXtOTnvsNDETmElp/9270t7ZnztnQtp7Tld5CqvVp9Y2VOBuq6tFjEZW30cC/rUNFYHRhEDdEhpNd6u2dVQh0CIrLePZFavWlUeXZ2U7jdYHEInlTZ2tIVsttz7cna6+e006/ZApOe2EtDYL7MlZm5C5StbArEu35Eeg73wsa1Ee6c6alO60NL/ThRbFVtNuO2ZykyU7ksJ2JAhB1DSSyIo2RXuCUMW+VLSbYa4trAkzWj3w3prHl6wtRsrS7LHTpGLkyy5m3126shamK28rTUy7ZnuZcGx7GDizYc4UsNjqRPmRpvoVgYrAyEegalhG/j2qLRzFCLTISbbfyK/j/9B/Lc1P2KzN2zLEZmdHj4Bw7LHjpPRv755TniCScvHytem6e9eka/OBrPgGkceKZxYD1dY2Dw0MNxaFcfSJpiQ0MPzusn2U8hYSe58JmbRMyvYvLXuYg+ZOTvvvMSkdnLfXxIWjsXGZH9rKZQlvARfkKdJVvyJQERhZCGxchoysdtXWVARGPQKEbEvQTkyL89M5bEtmZQPSdd5vslF+btrPYoy7LhOcnvSla1am0w+dnH56d3e6/r7V6b4n1+YXz61LO2ZDVE8VFU1KlrXlqZxGgWNR8Eaf9Bm9sEUmzHaPJ49mTvNSmGy4nPGhgWED49HxPXeakAlMVzpgblc6fJ+udNBek7MhL11VyyE8yEt5N00pW+n59mBG1VUEKgIjCoGqYRlRt6M2ZiwhsC7vy4Tgu/yGVenPv7K0GIv2rGut6zfX1xbJYSyb33WSt3geenptef+JR34Zzm60Sak2GYFhrwYmB+AaSAgysiYb8SIvtsv2zNtHu++YjXezHQzycnx+hNyL+jjbRjl5L3lp8ZWWtivuYUlY/1QEKgLDhkAlLMMGfa14LCNAgHKEnXeg/O+vL08/uXNVeXnahqg+u1+enMkCd6oXrWUJbMsnBHOfmcd5gsAJ8aArgZ0nsFoalWzrk58ymjNrQjbi7UonHTglnXjAlKyloXlpGeyCr0V85K64FxDqn4rAMCNQCcsw34Ba/dhFIOxXPG783o8tKVqSlvjccp+bZIfQLNsg+U9d6W8Zt06xm2CZEwSexfYlExhE0CPSs7P26tB9J6dTD5qcTsrkZeqUFnnxqHTrKaP6pFEnfGtYRWB7IlBtWLYn2rWucYNAEZRIRn40xZtkFz2/rrztdW22XyE0t+SaxCS0Mc2wLeWtcZsi0MSNloUGxYacrTVPXsHX23+feWF9ejQbRl97z+q0c7YPOv7lU9IpB01Jx8yfUgp0P1v3Qp5SUAlvll8C6p+KQEVgyBCohGXIoK0Fj1cEWsKtpRGxrXNHfrvtpPKhwKolGc4x0SKKG9kiuxWEo5AXtkGZiCxbuT49v2JtfuneyvSdm1elnfOL6s48fFo6++hpxQYG4WlqyVrkRZnKamnDKokZzrtc6x7LCNQtobF8d2vfhg0BBrdeq+/9K//zS8vyUz5r0pQsFDeuzYetabXiDgggHk2igbwU4+Z8wzw+PjUbQB+Wv6Z93rHT06kHT8kv5cuFFO7TIkAbtS5166gDvDWoIjAoCFTCMigw1kIqAhsRCOFFAD79Qk96298tTpOzrcTashmxMV09Gx0IIC/5f6/z8r8zj5iazjl6ato/G+363EGQnbj3oYVpaV02JUO9BdWTikBFYEAIVMIyILhq4opA3wiEdoXw+ll+Y+0f/OcL5d0f3jxLgFU3OhBw/4KIaHGQEdzFdhKD3cP2mZwuOG5atnXJj0jnDzTaXmqRlY0kJ8poL0+Z1VUEKgL9R6DasPQfq5qyItAnAiGU+OxXFj7SU4RYhPdZQE0wYhBoJxqt60xi8r+JhZikbJ/UnW56YE2aM3NiOvuoaXnLaGr5XMCsabaGWuy0ZSvT0sLUcTBibm9tyChEoGpYRuFNq00e2QjEC+NW53eo/PbHn08PPtXTepNq1a6M7Bs3gNY1iUdr26f1eYBJmcic8PLJhbwcuZ+vS0/coFXLW4LFyLelf0FmmmUMoOqatCIwbhGohGXc3vra8aFAgBDiCKRFz/ekN/3V4rxVMLG8RbXylaFAfPjLDOKRd4iKW5Pf3bIsf5Dy6PxI9BmHt15K58OMDHc5GhfOGGmRnU23nkpk/VMRqAi8BIG6JfQSSGpARWDrESC8PB3Ev/mh7iKkWi+Qq3Rl61Ed2Tlj66elQcnvd8lalt3yxytp1hY+sia/VXdSOuvIqem0Q6fmr0lPSjtt+ByA9B4bK98xyl0M4jOye1tbVxEYPgSqhmX4sB9QzTGZtYRf3Q8fEHjbMbH7xLlP/+fyFenbt6zMT5F4jGQ7NqJWNewIGAe+EM3UpSe/LHDZ6nX5SbGUFhw+NZ2Q36R73P5T0tw5G79jZNS03qhbicuw37zagBGLQCUsI/bWbLlhQWDC33LqGru9EIgnhFZ3r0u/9o/Pp8XLsrTKgqvyla27AzG+e/HLJ73nW1FkoZMtTlneiRPlb0VR/cqifEQEZ+W8VVf1SMvJ+RtG3qR7yN6tl7r4DIAtokpcClT1T0XgJQjULaGXQDLyAkx6Jjli7+n8mveZ+QkEX+61ig91crQ6JuDIIzwn28SVCb8x8Y8mA8BN+geXDZ0r/c3nLbuAlkiL8+3ZP3VxDz+zNj2ZbVimWVZX1xGBuJcQ2wBb8VsIRljranX+7o8zL3PrzsbMW8tavDNlUj4MG48lT8l2JRuGUK+fq8gJyv9eP9oqaiDOeLDzs66QkQn569Ct8fDz/GTRDfllggfN7Srk5cRsqHtCJjA61vpAY90qGgjONe34QGBICUv8yPlcXDvfnkJEfaPZwaqnZ1154+Z3blmVdspGnBeeMK10KbB1AeayLb4B78nl7uZpPiRAGwjydvu2TZ6dCYwJEzb4Od1IuT/RvzLxZ2nlOrQYk8r77ts61XbZ3d1dQtiVOIayX9oW5d/84IY3224Ia2vWuLoMXHTaOGOcaki2sMpbJpkh+JIyMkLL4H01xrHzDF/RTrxst66ytTI9y/R9dp6U87Sw7heQCskVa8dzy1uv3/em2heyYezDz+StmnyuXa13qKQ0JX9jyPWUluIjdeXfxbr8b71GtVreypDP437zN+daUa34lhZlQvLyOeEPP9uT7nq8J/34jonp5IOmptMPaW0ZKas7A4NU2VrimjiWgPqnIjDOEBgUwuKHxMWPl0BxCI8fGeEiXnhPjyVSK30IkfAjfUlQ/xQEYFIm+Yzfo8/1pC9d251OPWRKfmQyT9xm9zKJtibc5np+xWqEZG1asmx9Wpy/j6KMaXlFuXs2CCTrZ06dWCbndpiLoMgkptRZ/O3/CGaMg+aYMYbi0Obly5enp556Oi1evDiPq7Xp0UcfTXPnzk1Tp01Lu+y8S9p9993SzJkze7u3NmNh/HV1dZVxGRFbEjaRpj9+jH/+7fn7QX4WIWz6k3+spNl471ojs2CQx54PP3ZnYrIm//xpEYwzGo5d8scG52VCssP0bKyax/SOMyeUcTp3TiaZpHoeg7vv2JXvHTKRyteVw8C1X5i5Ebkc7Vq2an1auSb/VvIPxe9jSf5ddOWBvqp7fflIJU7y2LPr8vW69NBT3WlN9hetmJKmTZteDKgLuV+fO7I+d2JdPtbnRuX8yi58ZkOD1q9HZsyLLbIR7YyxFu2fmjVwSNiz+Tf6+Z+tTNffuyYdm+1bvEn32PwBRg5xQaaa4yvKq35FYDwhsE2EZePElN8xsEEY+FERCJ1Wvz1rvUSrc9yaNWvKDzKITZQ9nm7G5vpq68f7HZ5dui7vga9Pjzy7Nn3jplXpl06dnie71kQm731Pdqc78mrt3id68kpybf6OTRYSOe/KPDGvXGPSTuUV8baU7KlbSZosd85PLey766S0Xz4O2ntyvm7SntZKl9zIz77kWloCRH0x+TofLBf3XdnIhXE1efLk3N6JadWqVemGG25Id911d1r4i4VpSSYqzy9ZUojLmu416emnn0m77LJLmjljRpo9e3aalY899tgjHXzwwenIo45KJ55wQilLuY7mWNP+be1PtH15/n7QwkeyZmdTWTVYEI24cqLfulvGSRbghHeLlLTeT7I2C3DvJJm3e1d5UmbvPNbmTJ+Yds3kecbklHaYMSkTglQ0D9OyPxxEr7XxmjLB78mkKo+9iTsVrL/x3evStdffmB54OodNmJrWT90zH7ulCTP3TBOmzMnEZXX+8vOk8vXniZmk5O4Xspp1QIXI+Nk4bxKYGGsecV6fQfNk0U6ZqD31wrr01RtW5pfRrU4nHjA1XZJ/4/vlR6KlW2vM5t8BvLkoo1zUPxWBcYDAVhOWmKRaRIVQmdJLUn70ox+l66+/Pt1++23p7rvuSS++uDLNnDUj/9gm5RVLd3pxxYtpzz13Twcfckg65phj0umnn54OPfTQXrip8ZEeLurpjRxnJ/pvtea46/Hu9ODTa9OueeL/wrUvplcdNrWQiytvW5muuWdNembp2qzmXl8OKvb4xokJFEHhzHVFKZPPESHniIs3czqscmdnQXJg3ls/NH/s7RXzJqc5s+jGTZLNl1+1pPFg3p8oi29cGQOIyqJFi9KnPvUfhaw899wz6cnHH8/jaG3acc7O6cBDj0i77D0v3XLTdenxHL7jzrun/Q46PD371KJ0z733p6t++IO0ww47ZOKyZ9p3v/3SKaecmi655OK06667lrGlniDXUX/u6Fa5yH/HYz2ZLNqy2KpiRnwmYyiEbyEoGzqKoNhiXLVmXRa+E9P+mZy8bLdJ6dB9u9J+O3elnbImZebUVN5LMyPbYBlPW3K0EOrimlhuOVcr/eb+biiuN7pZPtuWnvxIz86zM2PK7nvf/Ua6/PLL02MPP5Aef+zRtCQvAg484ph08NGnpb3nz8g/qkfTjF0mpp6uXdPji15IDy5anZ57cWpa3mPcek1//g3SCk5EhVp9iTESfpCOVny2qcm/Re9rWfTC+vT1G1elWx5ak41zp6XLzpqR43Jd+QerbJqnKKO3M/WkIjDGERjwU0LxI+GHUIHRFVdckT7x8Y+na669Lh1+9GFp3/l7pbl775F2m7t7Fhiz05QprVVyTxYQq1etzqvjJenpJ55Ojz+6KN1/54NZCC1Kb/6lS9I7fu0d6ZBMZJRvFVy3ivL+flZLT8mq4//48Yr0D99aXtTmK7MKe6/8WKTHJp9dti49n/fjqY3tx1Nxm+A3mZybFxtm/Jj4TdqEA/JCTZ//pxlZczMrC5XZ+fsoB8ydnI7PRoHH5Sca9tipRV7yrSnyJtdUfiKlvlxQTMAlcAB/Yly555z7bovns5/9bPrBD36YHn7ogTSxK7fh5FemI487OR2cBceMGTPz9s/0Mk4+8+//mD73yX9Nv/ob70tvv+x9qXtNd+rJWpdlS59Pd9xyY7r95uvSrTdcWzCaN3//dOqpp6Z3vvOdabfddivjWLvVqR3cQPsR+eT92PdXpM9fszLZEZiALY4B14KldX9Lj/Ift4otyZo8Fqfl8XLQXl3piPxtnRPzEzB77GSrw9ZO1ppMN2Ze6spvHEYRlU96zzeEuQ8xNiLZYPlxz9Rh3OnjpMxavpvnsk9+8pPpvvvuS0889lg6/rQz0kmnvyYdeewJadr0aXnxNStNm5o1LXlraFLWGK+fODWtWp0XYlmz1r1uUlqeNZuPZG3Mk0vWp4efWJ6eWDq1lDslG8XQwKzPmuYNo6z1O7V9JMSPqMS0flXSIH+0LzSg5+dvFl1yciZKOc3a/CNtzY35aht+d4OFZS2nIrA9EOiXhiV+2BrUnECsgD/1qU+lv/u7v0s7zJmdTntNXr2+6w1p96w9mTV7VpqVtSrTs3reCrYliPwEW4LBFhBNy4p8LHthWXr0kcfSNT+6Pr3tV96W9txtj/TnH/lI0b4gRU3SEqAMVKBEvtHkwx1ik/Oqy+r1sefy937znCbcJOa6xGd5QCviwrWj9f2S9ul/Q+8lyK6k3TDZlVVbLsIKj9SQf2nWEizOGpvHFq9ON96/JhsfrkiH7Ts5nZlfgnXqwVPySlCdrTZmr3dstEpvXcf55vwYWyE03GvuE5/4RBEaixc/m4XErPTWd70/nbzgnLTDjnPydV5tTp2Wq25tGa3JW0WT8zVwhM+ctWMhCsrcY+/90j7zDkhnnP+m9Pyzz6QffPvL6YqvfT499NBD6bvf/W767d/+7XTRRReVOoMgu2i2q0T28ae0P4Ng5Xvrw+xXWiAHoesj+4iL1n5jreVyL8p5izzQotDO7ZWNX4/aLxuJHjg5HZrJCkNSBAW5bnfSlwHXGl690YxKW3X1VtYbFyeD/VvvvTcbOhhaNrZQf/VXf5W+//3vp2XLl6XDjzo+/c6H/irtf+AhaVqDHEtvrGhxq1/r0vRpXWlm1k4WQpK7On+PieVpptXdO+bf7oR098PL04+uXZieXDojTd3t0Ly9mtleJjzrs+1VaKuiv3zl6vcLHGEzAAAgAElEQVT0KTllPr9/UU/69++tSD++c3X69QUzy+PQfqOcdNGnuC4R9U9FYIwh0KeGJSaT9h+EbZ8/+MPfT7N2nJku/pWL0vEnH5ftBmZlI8cZZcW6Ni/X/agdzbyBnx8Z4YTMtFTy67Mtwor03LOL0w++88P0tf/6Rjosq/v/8qP/K+2zz96tCSLnickr2hXljVU/9q0ffqYn/a+vLsvGnN3FWDaM9pr9Hggm5EeGs08niWlRfV6ARW1OKO2ct4kY/p5/zLS0XzaYLG5Doa373RJyW2pTxLXStyZeROLP//zP8/bP9fkDc5PSW9/5vnTKgtemGTNntUhJrsPYQlYcOVdas3p1+o9//bv0n//+T+md7/lv6dJ3/7cNzclCZULr6aCJeTtST7qzwfezi57IpOW/0lXf+VrqzlqYCy+8sBCX3XffvXesxjgrBfXjT+lDbtvy1Sn9yt9nu5q82obVQMvpR1XbLUncF7eVbHRNw3b6IdPSqw+bXOxRbDtOy0K16aQzZtqHFyzEDScmzfpLO3N7zEPms7/9279Nd915R9rv5Qemyz7w/6Z5BxycNcN5Dyt3ZH2exxCVzm2PX8lGFBBXv6/Cv3MdDGfZxTydjcS/8tlPp9vuW5Lm7L8gTdvr5LRq3bSsjcs/Li7nURrXrEsYbRbNyoy8dXtStm/5rXNnpl3z7zD6lKspdcobYc6rqwiMFQS2SFhi0PM5PyA/2j/9sw+nL3zxC+nX3vMr6fyLzs1alPyDy/+CoLSDI1+U0R7XvEZcqNClfWbRM+lj//iJdP3VP09/kbUtF1zw+hIebYoymz/qZllj4txElyeoyVkq/HDh6vSXX11aBMfW9Dlwa8dFeLm7rVvcOm9PlK9NmCZgQ2HDwi5vr7TCfTPl4pOm5y0jBtWEl8LinncmLtGeUn8ulNCwsv3oRz+annzyyTT/gEPSu37nj9K8vLqNe218tTv5u7O2rjNh2dCpRqZCXDLRmZBV+XffflP62N9+JD3+8P1p/v4vT//wD/+Q5s+f/5Kx2hfevX3IAH1v4Zr0119fmgUUQ+lNBXmjGSPqNO5FNMqKHtT5Dub7MiGT04mFnL4qP3JLw0aL0NXWN2U0XWDWXnYzzfY+b7YlxpJx9/nPfz799V//72zUvTq98qzz0pvf8Vtpl932zAQ9a8oaC64Yh9G39vZH+e1YSCeP348dwpUrlqdvf/Xz6fLPf6q8ruD01749nfr696ar73wxPZA1KZBsEcRWevk21tlaOKiDbdlbTpuRLjphappKM5pd3IZoq7CNeV1VVxEYvQhM+nB2nZrf/PH5cfthP/zww+mX3vqWtOi5J9M/ffJv0/EnHVPCvZ9AmvYfautH2vohxXnTV29cO5e/TCT5Fzt9xvR09gVnpQMOfnn60Ac/lB55+NH06le/epNHUuWNdso/Gl20P7Br9ikjWvCxWvtJVgX/YOGq/MjnpGJrYhLry0XZ0imXI4yKrUoWSHzB1PLlyNtMtoRsN7UfBFdOXbY8Wm30FIhVX0pPLl6bvn/7qnTlbauL3cK+u2bikmW1dNTdJtHoV2mEknKc9jmCrHzwg3+Yli5dls594y+nd//+nxah0dKktNK1ymv1wznHR6Jvy0a3t918QzrmhFPS0cefUuIiPvxWnVDNLpOWXXefm04547VFgCy89ab0xS9+MR1++OFpv2ycGy7qietOfmlDxgFGX7l+Zbrnie5yLm1/8ncqc3uExfiINoYWjS2UJ3Zeeei09Kuvmpl+98JZeUU/Je05x32lGW1hL3/TRTnhi2ueN9MOx7m2NMecuebjeevxH/7+7/O8MiX9xu9+KL3hly/L24pT85hqbOvlfJF3S/2JOH770aq3RUS6uqamo7Id1vyDDk133HxNWnjjVWm/HVekj7z/NenVh8/Ij3Ab0/mx/bwli7j4jZXf6gY84e8WeBT7xvtX5y3I7jQv/+Z2nk2buPG3FW2I+zwcmNc6KwKDiUBHDUsMcD5hwFbl1ltvSxdf8qb0qrNPS3/44d9Lk/LyOt6nokF+HJFvaxrYzBvn6kZcnnj0yfSed7w/HTz/sPSxj/1beerDZDPaf5DRz/CbuAlzEObLV65Lf/PNZek7N6/OT1h4ZLQlMJrpm+fN8qQsgihPeuSL91h4QgMhmZ613R6Z9LbN2Xn/fWa2QZifP87WdPJQ+z+TH6l+ND9OvSZPpE8u8cKt7hLmnRqMLoWvzAaCVNZ75zLfeuqMdM4rppYnj/LoKEQpT+P5nsUqsEVOadVoVv7ogx/MWom16dfe9z/SGee+Ma3d8K6e6Aufc8/DRdjmt4Q23X7oLUsBG8qzgma4+4l//Iv0w29/LRsxT0j/+E//lE466aSCf9TVrDfCwlcuIohYvuv/Limr5GLfEwlGmB84QFK7bfVB19uTPVr72qOnpfOygecu5ekwUG3E0Xm4bf3NRznbw492h69OBPXDf/InaZddd0vv/MAfp5NedXZa+eKKDfOKFK05rZw1xp3rgbioM8YQBNmuTJ85Oz36wD3p3/7mf6ZbbvhZ+s3/593p9//H7+VqaebyO2LyS+5++IvVxW7l0fyCueUr16fV+feGrOSfTRmryrJtzND+gnzP3px/d3vkR8XlR3bc4956G/cxB1dXERh1CHQkLHrhRxZk5bZbb00XvP7C9Ma3nZ/++wc/kFavWV00IYSpdPGDGMzeR7lr82zalaXsmlVr0qUXvzPtt+f+6VP/+ck0e9bs0gZ1D0X9g9mX9rKaExjiBUcuznv7noW/qPuymvgjX15WXvdOA7JRZGxacuQTan4t78HIE5ynNRAdL+Q6ct8p+auxk9Nh++SXYeXHJ1tOiXG+Iaif3rP5Wzm3PNidHnhqbVr4WHd6Lj9abWX4TP6EwD551feec2amkw6cWkhSmUQ3aCKMLWTlxhtvTB/4wO8Uzcr7PviRbFh7dp6Bu4v2prWSb2loms3p7f8G4blmdd4S+re/S58uNiwfyDYs/70kb+LRzO884vjrclum5JfNfe0z/56+8umPlZfP/fM//3PRtLTfk/ZyXLfSTMiapnXpfR9fUgRN2S7bBiHXqZ5tDdNXA6MlDj2Bwng7vwMlj4uXZZJ5TiYq5x770jco+30FXtvahuHIH213n5wbdwyu/+APfr8Ycb/j/X9Y7KRWLFta7KaGsr/lHmQQ1GHBNzPPYw/ff3f6v3/5oXT/vXemP/mTD6c3velNUpTfcOs3MKEsDr5+48p0432r09N58eBJpJX5g4rez2TxYbytyHZTDKF/86xZ+a25U/Lv3jj3q2v9uoeyX8NxX2ud4w+Bl2wJxY87yMojjz6S3vTGi9Pr3nRW+r0P/ffy8i5phpKsuA3x45qY9xaQFhqdi9/6xvRv//KxtPDWX6Rzzz23TDwxAUSe4biF0YZos4nRefM62idtxAsLsuKpmJ133jnttNNOZVIVZ/XrRVG3PNSd3267Mgt9TwzARuxLXakvB3s0mTCyYvY+FYLosjyJXfpq5KH1lVhESFkmNDMa3+nmXEm2IV3kk8eTIfvv0ZWOy2/lPDcb4J555LR0wJ5dhSQtzSvCK25ZXV49vmd+zNWLw/TXuy668v185pln0h//8R+X7b5fzSTj1a9lp5Qf0c4ry+m5XFiV9uX+NretTNAmajCY0Knvb73x2nT7LTelV+TtoKOOO2mTbsCl3cW94Tt6errTYa84MS1dsjjddN1P02233ZbOP//8ol2Ut1MZwlttbJVx9V2r0zV3rynGke7bSHHaqP00QFbnq7NGLA+RtNuOE9Pph05Jl505M/3aghl5rEzOYyczyuwCF37kHyn9GWg7og/yISsMu//sz/4srVyZn7j57Q+m0848Lz/+/kKeY7pKv4eyv4GrOvwWVq9amXbZY26as8vu6Y5bb0zfu/KKdMyxx6Z9990nzxN+dbSTLe2XN+BecNz0/H6kyeVdNjGqveLAe38sZmzTfufWVfk3tK58DXrn2d4w3vqtSx9Y8KurCIw2BDYhLPFDRVb8mJYuXZp+6z3vSfMO3Sd98E9/v7w/JX5okXYoOxw/Lm0pBCpPNue/4dz0D3/7j2ni+knpxBNPLJOpNkizPdrUqb8xCYlzri0xIbRfSxPx4qyyPJ3w3ve+N735zW/utZ/IorpVRp6sfpKF4PX3dZftlRZZ6KzV0n/O9o53Ylxy8sz02+fPKmRiTl5Fh+pfmtbk1RL4rgl+7enPQfDJ//+zdx6AXVVXAz9kkLDC3itsEGS4J+CsWvdWtK22jlrr1rprHXWvurCur7XOureIKCIyZInK3sgegUAGIYHv/M7LCY9/k5AFZLwLL/f937vz3PPuPffcM8hDnVRLu5ROM3scmFk/tFeSHNM/Wa2aJsh81XD6dkaOjiG7QTUcVifPBGXvUw2w4V98Lieceb6cMuQiW1DT1Zvt66NyZUBnzLJreUp01VbiBGu9maqBA1t8Tbpq4+gEjWCrLb66yP48ZaxMHP257HfAQWarBUN7gSZVwE+gX7H4EX7G/RYdi73V5sbiebNlkrLo0UbCXkvAQSkcv8hHPRBQ//kmS+auwJpzAEfgujuD4wNtBJY5SqUAx6a6iEGoXHlcAzlxnzoCMem4AaEV7Oq34Rj5q2pwGBDz3WVmZsr9D9wv33wzUjnGF8rRJ51tMkwce9PPWBzZWf2mLru0TZuysqTbHnvo0WRdVTL4Su0PLZJDBw40rUtrt8E/OFblG8Nlwd5KvBy3Vx3bHGCkz/2Gpen3Q8A/0Sj95jAG2VRlW9hYEPhW/butyuNqnYn+1DgIbGeHBQRmcrYJWjkbQ4c+K5u2Zsvfbr2l4Dk7lF31UTMatIn6mFA2q5vWhk0aykNP3id/ufxWOeDAA2Qv3Y3wfle2KRZLqNvbmpGRITNnzpSuXbuarE2WTkbs6LCsipEy+sMxSNu2be3+2muvNaN7mJKvU6dOQdEUCVdhxfpc9S+yWRdPzq8VDvqMCccIhKDagr7Dkamt43b2QfXkBNUcqKvqpqhCwnHReVHL2wbP8GQVvi9owA5uPA+x/i8ItJsFnPYhL3OoWuPlSs/Kk/fHZ2tfsqVV0wYy7PMPjVjpo1yNE876nbZPbfXoUdDPi7aoi4FcmTo/TvbsFK/2J/Jk1TpkZpRIUWIFrg2+kRL1OKtJfZ18lbBroGBLSz5AWvYbIhvjO8pqNW/OJJ6iTiIharCDERja8gUpmLiDtvszjbUjOZuy5bxLrjY2/auvvioHH3ywybP4EVZBR/NvDO90PKhn/spcqwu7OZUh+Bgx/rhmaKkclT5qP+fYAXXMjg5tdAd74BrjGOBy5SC4KgKGwMA5msSjR4+WN19/XQYeeYwcdeIZihe5hnuk29VziNcXr64n0tauk0FHnyiL5s6St//zvHz6ySdy/vnn2xxBOr555Ku4h2jhWycM6JRoNll4PlmPZkfPVI6mWlpeoxwW7DTd8eZ6Gax+iX6r3NW+HWtrecF8wHgTvA32I/oTQaCSQ6CAwwLiEvio8d3yxefD5YlnHpdrb7tKNXU6K8t0oyQoGb87ENwnE4il7Kxs6dK9k2QpK/XJR56WM04/Q6X6a1u7aL9P0tzvyuDwW7FihcpkXGXEyh66a5oyZYr89re/VausdWWfffYxld0hQ4YI7+jPJzoxvfjii/LVV1/JCSecYIRM0O5gQslUlzRr1JItiyBcg1UqM5KuQrjwSCBAOB5hMiN1MIIiPdupy/ouScp9CKxkMjfx3mHjcVBPRf8NJlerk8VC8UoZdibD0k/N/PdRM+0zF6yVF54bKvPnTJcrbn1AOqq9i5ycbIVHnIyenmeyICuUSIGTMmyK7hSn5RrBslwth65TX0qwvTOVw7JCzZevTFeroqv0PD+5i7QZcLas39JGJ2qR5SoYDHFD2vp6lNbAOEzBUYhSJgYLbV4BPvv4AZt6DRqahtLIzz+QFXpsddxxxxmQHG4ek4f+JSg1iDn+L1X1HM0N73tFQ7a05Xmf4LgdooTK2YfUkwsOq6tWU5X4V+4ROBFWT6Zf3rfS1lVZ0wMD71ea+p3629/u0KOfJDn7D1dK11576rFQpm2GPN2u7Aftol44lny9capq37Jde1mgsiyjvh4hhyiXpbludMLBx8cJTDYGOpT28bdtGm/yYoeq+jnerSHY8dGEjBnyL7lKuHN8i3A9Gcjr3Bbq8LK5j0IEgcoIgQIOC8jqR0Hr16+XV19/VXoP6CkHHLKfLF+2QpLyiYLdhdTUy8ddu3ZtWbVitZx/4Tny2r/elPfef0/OO+88+9h2x6TDoDpMiN3Z3vvvv68+a05Xf0o/qobVD8ZV4f0XX3xhaXA/0LFjR/noo48ML+Ag0X4PPpG0UO+1fzy6vmrm5OminatHDnmyZG2uLFCfQjhBxFkaWjwI0GIend30hzo54e0VATwW1F0pTxGGBf1hYmUB5zx+k3LI6qi+7E/jP5Fxo4bLSUP+IJ2791TO2WZdPKEeapnwLjBYvk7NmqtmRB1Vr22oE6+DxiDEH00eCLbareLuRslW+ZP4xGQVUt6qBIT6o1JirmPzOF2g86RzK1wMxJsfJoSR1ZL6/5jOp+20GaId8/979N9Xpk+bZkbFjjjiCPs+GCcPlj5/tztpnroBwD2C+o3BWF1lCPRFu6paYLXlr2c2tCbB/WKxgsjS7lp/fcwqQ5srsg30n4ujIHBsxIgRMmXyFPmVclb2PWSwrFuz1lSYSbO7YOA4B4cReZaOXbvJ3gcNkleee0I++fhj6dqlixFU4CT9IHhbieEw8o1pF/I5m1tNiPoQPZLlWqomB6aq2jOqz59OVqFdVYM+eb+6ymVT329anh1n8oFq2J1wsAZEfyII7AACBbMvyErgo/j0089k5tzp8vyrT6s33HWB4KG+9g9lB2XutNdeP5weVGDvf/xuufaSG9Wo3PHSuLF6Td1NwWFHDEG1r3oFvv32200+BYd87dq1Uw5CjnkVHj58uPlKwtYHsOY5hOImtdbq/aMbPnkQs8a0Vr9BXAd0Dzq5YOVmXdDz5Be9iLlm6rl1hmoObNxUS579IkPuPqehTUhe1q4Gz7b+gFtb1bZHvKxUjsWXX30rtVWl85AjjpX6KY0lY+N6085YpRyTdOWgkBrOEUdKPhFDlng/WGgDIkjlMvQohh1mQm31V5WSrNpkWcp9yTZiBbmM6b9s0Qk7Txqo8kvvDvHSpXWc9FYuT/tmcH9UNkaPSvyozOGD4G+Sag2dd8k1cssfh5j6KwQLwdvg98ZhUQJltnrKhruC4zp/t63/9miX/7H6FYArVGMLYreFHglhYMyJYWC6u9u4M4FC3xgvLsKLL7wgbTukypEnnKnqy1nBvKbYtrth4PUj9JuhbkoGq1r/+FEj5I03XpczzjxT2uv8QQjjnj3QP56X74tvwr4L7S4bBDCxTZM4vZLlmAFJah8o2Zykjpu9yRyl9u+YKP3V6KPDZ1tZXnoURxCoXBAwgsU/ahbQdevWychvvlZNi97STiXVF6vzLxwXsozYLng3t98/Wkyq99t7T2nSopF8rDuRc8891z5ef78rm8mHzg7IA/IraPvgsZrnV155pR0FscPjyAhhYY6DTJBYJyngzhUOlOl9YRfFBMS0C/Gia7maRU+0izzYP1lmch65RsAgcLdYd1bDVFvgqL5qBEszwW3YXYG+IFzMUeOkiZPkm6+Gy4nnXCit26Wq1hl2L9RFg6aZvhjfSCyiKkel/XR8Y73R19aHgFNDn3UnqQKFbZrgXVplfRaMl3mTf1SniP1k4OABKueijuiUBQ7U0KDApsWsJVtk4hxV/WycJ707xsuBPROM85Kt3JZcJXzsaE0rYsxoc9sOnaRH3wEmk4TcEUd6vtP18UGmaLWqcs9WuRs0s5AbgsHC8R19oO3e/l0Nf9oI922Byta8/l2m/OWklOAoSNtUE4J/P8Bh0qRJMmfuHDn4sKOlp47phvXrTCtod41NLPy9rXnKCWqjBEqvvnvJO69MsTmkbZs2ho+kIdCf2LDdM03H9056piWIaqaX7m0S7UrLyJNpi3MlU/H1lzW5JnQN0U7x25UTU4m3kZi5i2tH6eFIMtcRPH9MsdHPCAIlhoARLCAdyAdizZgxQ6b8OEkeHnqfrFqzSnchqMX97wdS4hoqOKG3hQU+W7kSl151sTz50JN2LOSLSQVXWaLiaJd/kBz3HHjggXLxxRdLnz595LnnnjOOy3XXXSc9evSQww8/3NJ6weQrLHhfiRkC0gXs34CAYUEkYGelcwtdfPUirFdNAXbVuuLb2LHr2p2BcQG34CZNnDhRDc3lqefb/aWBEnUbVZ1USTB9L7oDzDXiCkIl7OXY+q+EBzIpyKPs2SFO/RfFqZ2XWsb+Vn6bvDtjpHJunpFBPa6Uo/QoByIFDgshKycg6rKU84RX6wUrtpg33X+P2CTd28XLMXslqgBvLdVCCrhZ1BcQWLV1N366PPLXa8yDL5wzniclqcW9/ACRwxHTkXvWkSkLc/Q4Kk/S9JgOS7Ec0yF7BPgZq4CA2XU7esdHBC3Hz8lR9Xgl8nVXHRCwukJV80D/mScYs/f16LhR46aqQTbYvHjX0uf+fVUGMHhbaumHkJmZLQcMOlomjB4pH2i7j1MTDi6Q7+mKa7OnCWKO/5ib/MhIpLFayz64Z3BcvE7nCtP6s/mluFK3ETOUCyESPh4tPmfw1ttVkrRRmggChUGggMPCggJCTfh+gmripEjPXj2UK7C8VIK2vvBSDvfbJszgtzfAnttqGnwEns7f7yj29LgE2Gf/vWR9+kMyffp0O2rxdzsqo6Lf+8dI/XBX0F56+umnzeN0SkqKHQvNnj1bjjnmGGsn6cMXH7+XUVTb/H0QMxEFuyImI3ZRxOykGqqGDBeB9rCo7q5A/Vzg1+LFi1WWZ7z0GbCPtGrTXnJzlLUBcaILKkQF8ji01Igya7B2SJ/AVWHHeEgvFSburnIoqqbZqC5egQOz5dlKyMTBldmisjB6nLNePUyb7EwckzGwEGmkVlvZRfK7XyfVKlItitUq1Itw7mgV6k1RLs1eXVAP5Vw/4JbVTk6Sbr36qnfoejJHxw6V2GQ9KnLCmHGgb1gWPX9QXTk+I0nWKidnqcobobGBHA0aTxxZcVQEAZOgBAzF0zPNavl9XK3LFfjH24da+Go9bnv5m0zpeU6KHbeBL8B6Z9Vdgd0oV1GMD8TJd999Z0ba9jn4cLMl5bCpTP2nrRBYeB/v1W+ANFGtwnFjxxbgHe8JpWnztrTBNwGvw+cKvhGcmBIoWtG52GCw1ERsPF577TV1UPq9GVmEINxWj5avCM53gi2jyy+/3EwDBHXsOmK92I5EL6ssBBJAQv9QVq9erdyVKTLo8IEqG4BUYlk/jiAfH59/ZEAIpIbIYPEi+LswstuLHfwJp0+ukywHHHqAfPjRB9KrVy/7WMgeTrOD4irktcPRYQmXBUJl7733tjb179/fNIW6detm/ecjd/iQB0FnJgICv3fUfn/PJEN6Jh/P6xMS79g9laQ8y7wT/tBO6udauGiR/KxCyKecd5G0bNtR+6uGVfQ9bVypGkCoLWcolwNv0KCI94n+DOgcL0MGKXfAFnkIFdUAygZB4aRoHYqsHC2hmux91myC5yC1gm4EQvAHoi6wTdGmiaixtHg70tm0uZakq/VQbMQwLgS4jvVTGsiA/Q+WhWqbBQFqTPb72IXHIFmtirZWoZvWKkrVWx0EHqSWRuEIrVP2+5xlKkezaLN8r1ZKlygxw7ERAsNwX6ytWhdtJVT0WHkb4+O3qDxProz4cZPZ70BLKFEpuIquL+hF5fhL37mm//yzGilcrT6mDpBGTZuqxuM6HeMdbxB2dS98rJh38W3UqVsvma7zMcQWGoSEso6Xl01+cI46uPfAI356On8ejr1u5qm3335bPvzwQzvmJU04H+ngQm7cuNG4ydgy4pnnD5cZ3UcQKA0EEkA0KGKQCS+5c9QOwLkXn66CkBkFC2oYGYsrnDIIpN+4IUNWqnZR0+ZNpWHjfA0FXQA4Ypo3Z76xE9u2D85mPY9lLuEfrwsByX0P2ls+ev0zuf66G6wfvuCUsKgKSeYw8hh5B1Sam+oESXsOPfRQW/Cwx0LbnWijcrgryLe0atXK2uJllLRh4fTc69xjE5LnD7/3Z7sq9nGivhXLVwhEcZv2qVK/YR1ZuypfoFvb3KTBVrnm5GRZtmaLGprTa7n6Llql5+TIgihHYqWpMCv3Sl0MbFXCBGImb2uws9PsQZ+1DvrOb39S0HeFuXsCp00QOdhOgXhppcLMSv+YETrkbLYohcM3sUUX9eTkerJHv31lyrhvZZZyWdxYofeL8v3esN8mfbVMqqqj9VTQF0Fptbsoh+9ZWzZk1ZXVG/PkB7VcPE3ldSbrEQ0seTgvcH/ok5VH8zV4uQV9CB6X+i/lYAUVgvDjidlmdAwrt2ENkVIXWgUyONzQ0kMYvkfv/kpsKhdOx8zfVbZuMFa0bbNyHzt06qZcofoyb+5cw4WKaHO4jPA9cAi+m6IhEk7v8xfaV4UFfx7GYb8vLH30LIJASSBgHBZPuGb1Gt0FL5T+A/rK0uXLbCENI6mnKyoGIbkaNkqR4R9/Kddffov84c8XyF/+eq1QdqNGDeWbEd/KNZf8RY4/5Tg19X+VqqEGwqelqYf6Sc+iwq4aAeHbrvqbPfM2FNXGnfnc+0Ab2GF06tTJqvPfnTt3Lvjtab094bS8I091CPSDyY0Yb9/NWraSRk2a4i7IJkjrq3aUI5PWeiyDJkvP9oHALHZkFq3cKjOXqp+ihVvki8k5ctGxKsw8bqJq8SSpPZ49lEuTVSSYHIbUEQtvJmeHMyrOUDq1FRfHqaXRfmraH4+9pi2UlCwdu3RXw15r7UiLysA7D14Hv0N0kvXXR5AdrRMwEEe91AoxgsJT+uYAACAASURBVL4IPc5WuR24L6ieztB7P/5S2qUghOsoeBi6ie1b6JXdBv1UGNfeKtNVIPuTSdlyweH1TAA3XE9svpL+3lH9JS2notMBN9q2dOlSE7Bt3qpN/pwRfF+Vsd20iX8QVl169lHZlboyefLkAhnDHeFCSWBIHQ6bkqSPTUN+l19powLBDz/8sBxyyCHGUeE5ZbNJgxPJe0J56outP/pdcyFgBAvIBRIiY9Cxc0ddYEC6YEIvDWj8Q9i0KUddp3eW31x8nux7wF52Zsyk/ca/35IH73pMVi5fpROIsqP1H3m4yhKCfKolog7EWrRuYe1v3779bv84vD/+kRb1O9zn2LSeJ5ymKt57v9COmj79Z2mnmjeNmjTTyWybhoGNvtqhyMlFuEOPhPRoRSVF1P5KgjRNEdlDhWxP3C/wCp2r6b785G0d73bK4u8rq1WAljpigz8z4Up9GRC3qPRuOwbZlkYncCVC+P3ikw/K/c+8rARRHc2jx3ZKbKU0amzcmbS1aYarJZE3oj1FYTUG8lTu0TgwzdXOzoFq6EtN1Jgcz8S5Kpi8QIkYJWBWrtOHVpCXpP20rgYbg+DltsWA9heFN7yDg5OjRODIaZvM0m0P9UlDcV66l1ddYofFrFkzdYFNlLYdu5ijS3rs7ypjX2kbDjmbtmgtibWT5JdfFlszeV5R7S5POf7d0CgMYu65554mo7cjWJanzh2VHb2vGRCwIyEQCWp4+Yrl0qlzqvoc2WSs8rIiGBNgtpqkX7lspR0NNW7YSO6++T556Zl/F5x5suum/DDylwXk5GcRat+xncyZM0edhu1+gsX7EQu/2N+ejri4d+F0VfWecTKvyMq5qK2TsI17/vq7dvUqM0e+ctkS+fzDt+XUcy+QK2+5W7bqkcyrLz4tLzxxn45vZ7nrsRckbXkt+fS9N42QGLDfgdKzzwBZrwbj/jewC4xXexuZ8tzj98nr/zdUWexd5JZ7H5f++x4szz56j/TYo6/6kzlZnn7gcUlVLsrcmdPk++9GyuN33yy3PvCUFcnxUJJyWdrpYvfzzz/ZuX29evWMAALvyhIUFAVBPwEd+4BoIFY6Tfaqu1X69VT5l6wkWZiWLPPXp8i8tXVlSy0V7lGOYq24RPs+AxhCaG0j2uyZFuPfluOV/0Y+aP7qrfLSZ/Pl2M6L9VtHjiZoQ0GjdnDjddB/3FD8oqYP4Cj68x1k3+Wv8Ta/tVb8dsTqLm9EaSpURMjT+bixHicnJtaWxQsWG4EPoeyEd2mKi03ruOC4Eft+R7/J51xGZO/GjRtn8nprlQvJkSoBXEDwFntT4WclqbMoPCpvu3fUr+h95YdAgZYQhsvS1qVJi5bN83e/23ZupekGyAY7HWu077z+npbXTH435HyzNHnp1RfJ0ccdKb8/6xI1iZ1lk2pJELi4+qkPT84NGzWQ119/w+RwEAor62JSXF3Ru9JDgInNrBOr0OMC9anUqHlrHfeAy8FKDWcDlc1XXnhK7njoGbnsL3fIFb85Vc2Tz1SHhhPlo7delXHzVmr8ljxy101y24NPywmnn6dyUU1kT9U2Wr9Ojc4VQjjwDGHdt195UaZM+E4mLdog7772L3n2kb/L9X97SH5ZOF+dyzWUeirbsWDeHKmrsgInnvUbGTPyS7nk2luVy4h11Fx4gAUL8ddff61GFT8tPRDKmAP6hQB9A6enYbt9pHGng6Vpp0OlfqveEpdYR+JUODNeY0unHKGAUxQQMJZfYYAgci1i46XocaX2efz8RHnhoUdk9YxPjAjSjFZGdfyTqAt93/57KceiVcFCW955Z2fCyRZmrQCZq816NJSmBPlNN9+ogtplI1icAOjXr58J77pH+PLAwMtEJu33v/99oeBAXm/UqFGmFemEVknq9DTU4fdeQexvfx7FNQMCBXZYcnVyRqq7RWpj+6gxfFUW5CAPO744pAg1JKru6dpNaXLrPTfawjR18lQ7j0W91JG+PKCmPrg1yfXqyEsvvSijv/vWBNYKQ/by1BPlLT0EfJJih5WmFpOXLVsqv73ocpVjaa1jpJZ9tUjGj+OhTupPqK/KjjRv3kqOP/VcyVbOyMrlS20B/vDNt+THyeNVDmqVLFk0X5o0a65EcbISqizl2x+PeCvBv3T1HZOVmSHnXXSF4dyv1KbKlAljZJhycZo2b6GVc1SUp9o6fAa1pE7d+upHqIHUrVdfcTNoGws97ctUp5YuSOh17Ow4xIgx7lTawnHCNe/rR5RQqSNNug6Sxh0OkCZdBklySkslYOpKQlJ9i40A2Yp6lB69QaxAtFiD8XyeLcmN2kn7fYbI2rkjZcvmjJ3dld1a/mblVrAha6CcXlSGOSaszMHmRR0vkBCcS9+wQZ584kmbL8syJ1Me15lqNXfw4MFmFdzqqAAgUA5tqq8EP1x67rl4jvVxl3Xx58VV6W0iLXOHb0TCz72+4sqJ3lVfCBjBQvdABCbvBFh6ep8/u5Wp546wXi6/mTBAQEc42+/p84oKZq5fP+4mTZpI3z37GsJTdrgtFVVXVM6OIeDjDPwRehw9+jvLtHr1SsnYkC4NmyonT48ewTUfI9jg5Etp3MjUkcHFbnvsKYcefpR06tJNBuxzoLRP7So/Tvre5EoS1WCeoWoheEQ5EC2bsjJklQqQN28eL/PVNgrPIXgWzZ+rk2yKpKhMDLtYJkjeYYOlTt16hquoNVPBqhXLjAvDhKyNtWd+pGnPdgyOCk+xJTdLuSOf2UXh8UmNpMUex0jj1IOkQeu+EldbhX/i60itpBTtS6KpUWO3BzkWduq5mWulea/jpMNeZ8ii7/+t/Q+Iv9I0lGMgLidMS5N3Z6ZlHDmO2KALPfMOISNjoyxZOF9atmlX6dobCwu+B4hMcA3uZBNd+G+97XY7WikLrIEHoVOnTjY/8ps6yhM8P+0755xz5KyzzjINQDYnlM+FWYfWrVtbNdYnrdPr9jQeszZ4Gr4pCB1i7L3AqTnqqKPsmecvT9ujvFUXAgVHQhyrIEC1ccNGm6ztg6mAfhliK/KGEZJifb8H4VKuoNlB4qyMLJM1WKS2Pi7742Wm/8/uxOuNEL1cUN5hZocvMRcB2M9Vlcz77rvPvOK2btVS8tQrM3YwmsJl2axErE5iTMLZ6jU3KEOFT5W7wvMOnbvKyC8+ljmzJsnUiT/KlPHfqUPOAcrt2CgfvvWK7HfwIDVy2My4MbEN5Gikrgpjd+zcXd54+Tnp3qerjPl6tBIwmXLYr46TZx6+V777Zri82qm1jP5qmKR26moLwrxZ0+S91/8lJ5/9G22/ajdpwUyeSaqtsUE5kNpIq4rJGNV1vG47sUN/d2mwRYcdrW4E9Dgob3O2bMmdIFs3T5ZadbpKfJM9JK5pP8lSEeZ0VZ9er3ZmNqqnb3qgpmDMSF6PQZfKUfu2krpx6XqExnRQssWMPqemphb4ydrlfS8C0BCZHDHiSuE///mP2l9ZJW100WyuRthy1Z0HweakIvJXhsf+LcH1hjBOadhQLr7kkvLsIbfrlpe/3cNS/vDxBgew4I1F78KCfxsOc2Lq5/IyPB9pCXxv2coJe+GFF8zwHN7uD1fr4Dz3cjxPFNcsCBjBAhIkqSBkip7pL129WNnNwURdVsR2ZDQE0x1dMMVvmygQhnTrq7X06Kk8YSuGw5QSz1Jz1rA833j9dXnwwQfNBP4AXdzc5UB56ojylg4CjjfY9XnllVfk888/l4GDBkl9FVbNysm3l69FMvbgHtyxw351vCQrwUzedh1SVSapifTZaz9Zs2qF3H711Sqz0lguuOxa6a4WmA8ceIRMGPONTB4/Vo45+TTJ1uOa2MDkh9zHcaedo8dRa+Su62+Q1m3by8VX3ajCt6ly2pAL5akH75R7b7pZ9t7/EOneu58SHnlyyjkXqEr+u+rR93SzjFpLuTTIy7DLg6hiIgWnMrROdpN//OMfDddi669Mv7MV5viXmrEMI3a55sF39QaM2mXLkrzO8tvz7pVz9q9MLS5fW1Cfv//++42zd9lll0mOcll+mjbdxg98Azcq88Ln8yfC6JtVHg+uMUoMLrxa1raTzy//RssCafJ62BGH0YmScB7y8hxiEuvffFMY/YQbw7fFJoc5/Pnnn7f2umq01xnFNRcCBXZYEtX5CbuQ8T+MkdrxAVuvtB8GSMkFMoKEIHPmxmC37O/yVPNjzeo0ZddmBJS2Ehy8K21dPmTko8wVS1fITQ/fpH1oJo888ojcdtttZhofKXU4LexUorBzIcA4Ehh/2PFMOOxysfZ7ie4Qx40do441R6tRwnQ9mtDxyB/7+soJ+cud9yrnJcsmrEFH/VrHLMfG7beXXil/vPZKxRHlDiiDY9WK9bLPQQPlvW9GyQZ1+JihDwuTSTC8UPyDHL7kmhvl6ltvNLGO9etzZe2adOndf2/59wef6CIgWo8eGWxU54W6KFx05fVyxU3Xaz2Z2hbyxykOb9C61sigQYNl7do1MmbMGMPtzz77zPD23nvvNU5LmKNngNitf7Tn+m3oaJh9mf6d4tQzb7A5SFcuy4+qNo3fo3krcmTSjNUyoHVd9WStRvP4FjVXSb7HkqTZFSCgHcCe4wk4rOAaPqtOP/10ueaaa+S9996TyWrEccnCecppw3hccPRYWdr/PzDSMYhXxFyxZJEeaWXLvurmg74xh5WX2KLP5ZlvaWsYbunp6fLmm2+aGf7w5tDr6d27t6k9Myd423n3zTffGFH5yScq9K0Bw5rXX3+9CQXfc889Vubxxx8vX375pW0OwnVahuhPjYSAqTUbAus01U53oPPnLlRABBNbaREbpAIxc9QOS2qnjnLuBWfJAYfsZ+fIgW2XrdKsRTP5/Z9+J3vt298Qv7R1xI4SR0ublDhavPAX9d+zt7Rt286odsxG33333cJigvAXHwscn/LWF1t/9Ds4kgOujD2BBeGNN96QJ5980qz3XnrppXK0nkEvXbJElv7yqnrKTZPEJJ041e8OOMPYrF6VpuOTaL+RN+BIiHdoAa1bG7CKKR9uDEdGG9MDGylM4tRdWCA/Yb0K/K5bk09MaXrwYJMSJ5lQQPmBcuDIrFu7Tgka9V2kaagP4WDUreso92eQcok6dGgv8+bNM6/b5MFC8aOPPip33nmnHY+EJ+Wi2uV17roY2RwfJ1G/SXHq/C5JL1pQV+auyFWnksrpQsiligXGmIWSBR2NlTvuuEOGDRtmPrtuvvlmaajHKWxakI9atmSRjikbl7JvkHY2eMAZ/sXrpnHerJ/tCBPuA7jIO/rreF3WtpQ3P+0Az4E5as133XVXkU2BeHz88cctLYmoG3tfHPNAXKJhRDmvK2f8D3/4gxEop5xyisnFwCHHJ5vLPxZZSfSixkCgwDQ/iNRaTcMn6CSMtVssLIKU8eo4raSBMriysrKld7895OkXH9cz8wzdOW/QyTDYHbRq01IeevJeyczOMnkZfAuRpyzBPm79eObNWSAtW7Qwlil2WJi0EPRkh9+2bVuj3Pko6E/4wy9LnVGe7SHgkygxAWKFIyAmMeANsYIvERaOLl27KnGZJUsXLzDHh67ezPhjb8KDEyE8517/2Ct+U48RF/kTOC+Kw5+gDD35DIqwtJQBcRLmzHjZCPp6X1jcNmVnyvzZ05Ut39TY1kcffZRNtOwCmayZTP/73/8aUXzrrbcWEMfeLsoqrn3WsV3wR5c7U5OlPe5rCjlbvrwuLRU+VSw4XCFWCGg4wlmFo3fAAQeYd/QWOicgFMxv8HLWz1MMd8jr+Stbtw0PdWCSkhNkwZyZNkd27datAIf4pnYXPoVhxpGo+z4rDoaxsOY33K8FauIAAgVP9oTU1FT5y1/+Iu+8846NHc/w3eUmKsgXhQgCdiTkH0AzPU7p0b2nfD9movzq+KPM6FsYSXcELkcqiIJsJVoWpf9iBBACvV5Obk6uGppaYhocLDz2gSoyeht2VIe/9/LyVO5g8vgpcthhh9srJiaocs6wL774YqPuO3XqJOedd54toCSKiBaHYvliHwMfd+KffvpJ/v73v6vcSJpcccUVctpppxWMcbu27aRvv/66cPwoy5csl8aqWlyUIKTjg8feUv/tsT8vLo5N67899rz+mzgg1lX4T+VWJo8bJe3ad1Ah272NKB4yZIjt5p955hnzpMvk/dJLLwkL5J///GfTUKFMh4+XvzvjcN8gUmwXj3yZjhk+hbTLxtXysfT0u7PNRdXtcGWMIFj4jYDmE088ITgXRf6Bb573KBKgctsxtaOsXrlCli5aII1VS6wy9rOgTTp/blBiePF8tQ9UN1mwn1LwjoHaTcFxAg0sBG3R3OGZty3cLOZY4I+zUDaLpPH8WL1m7ucd3w7P+/bta88gMJnDSe9cTsr1vOE6ovuaB4FtR0KKNK1at5Ke3faQr4eNlLPOPkPS16UbZ6SkYAkjFQiblLRt1+zvMIZUO/Scsv1dSevxPCA1gmgjPhsp991zv5VDWXwogwcPNkr9yiuvNHkWBLr4wHyCI134IypN3VHabYsxMHQ4Iuz4wAMP2A7qwgsvlAsuuMDGx4UFu3fvLnvts69xYFYuXyyt27eTDao1hOfcyhLoC8HwQ2VsVq9cJgvmzpR+p5wmLVu2NFkJJ0zgsLBDJO26devsCAwruH/6058MJt4n3le24G0iDjNR/Xlla6+3x3GN2I+C8ByMJhrCmeAfGitwXNAWYmEk3cCBg/SY8k0ZP+oLOfGcC1WrUJ27JlQevKN/wJ6jqyRt9/ejRqhz0JWqHXOE+mBrZO+Y15hXd1dw3ICQOPLII+0qaVtoO/kZN2Ql+T1p0iTjslAGx6yME8QKYxaFCAKFQcCw3z4URRYo4b2VOzF31jyzGBuv8gIgGFdlCt4mPYCSWdNnqzxDhhx88MHWTv+gQXq0hq5WDRPOTG+88UbznszzgvyVcCGpTHAuri0++QBLJp/ly5ebLMe7774rRx99tGnPcAzEOzcqVbduHRNOxSDcIvUKbixlVHIrEY55v8AjtI++/fIzaao7cnaDvCPwjsURwgTBTn5zYaKeYwnY2vz2fhFHofwQAI4+PuAVhPDw4cNNsBaz8Ndee63JrrgVbYhH8vDNn6qcvo0b1suU70frs4Dg9vEpf8vKX4K3BXV8NnRTxn0jvyxeKMf9+tfGaeA9wePy11j6ErxuYggLvt8dXc4t8bYzfvgeYq15+eWXTW0ZOUM44nirR/iWNFx8Q4yxz9mlb3GUo7pBoIBg8Y5xnNKxXSf59OPPpXGTRoaYIE9lCrSHjwbNpndf+0BOOvEkY8PzzJGdCY0dFix6VBuh5m+55RZZooKfpOE96bmiUDoIONw8Ro6DIxHkB8AfZDk6d+5smmKwj9mR+ZhBWO5/wEHyxUdvyzKdkJGVwjIy73d38P7QDmRcsPfy6TuvqhxUeznu2GNtB0hfPCAMedNNNxmxzO6QPsyfP9+OxNB+8InW++75orhsEHA4AmtgO3XqVDt25IgBmanzzz/fZIp4D96xKHpI7dhRZVkO1GOWecq9+FJV6NUfVP6YeZrdGdM3I8LUgvPMn36QGT//oMcke0r//tsrJ5BudwWvm5jvAPju6PJvnzz+fXXS4zrMHaCu/dRTTwnC0WvWrDGZQ+YHNL4IpEcWEY1Dr5tnUai5EDCCBSSAmoUabt2mtRxx2FHy1qtvqxlrDHsFZ5GVBVFoh7dlmcpBfPr+53LVVVfZM/8oiLmYuPgoEOY6VhccFhHUnVHFo79MEJ6n5qJA6XoO7GNhhkbQP//5T7NsyeSDQTXU2glOsLDAMB7dVPD2oIMOVkNw4+RntVhrMiyVhMvi/QI3Nudslq8+fkcXxlp6nHCoCQ07vpCOQDqOHyBawnIGkydPth3j2LFjbWGl3162ZYz+lBoC/t0zBuDStGnTjMM1ffp0+d3vfmcbE+RVfHFjswLMHe6M1QV6TLlw/lz5+rP39DkcsMqxaSnom+JJHeVCfvP5ByrnNVVOO/0Mm78cWI53/rsqxT4WtBkiBtm2kSNHyrfffitfffWVbSh/rdwkxpaLAGEzRdXRIUb9WVWGgXUq+lMuCMTfocGRiQ8HxEAN+KsRIyVva67se+A+JqkeFpwtV43lyOyLJQtASkoDeeSeJ2TPXv3s6Ic+8J6JydNRFRMcZ8AsLHgVxXYGRxSw+H237HlJH30QQOF/AzAlhGHFM4hAVHrZ5f71r3+1IxIIXzesBlve4Ux68As279Qff1ILttNkrwMOlUZqrRYDWT52Xo9VWII/4AME0NTJ38uAfQ+UfmrC30NJxzPcP9qxZrUecd15vanJoxHETpLnXOEyue+ou3cMy40fP940h6ibneHKlSuNeOMdeFjW/nlfamIcHhcnVpAdgkj8+OOP5XdKrCC/wjcOzkEog29YInZ4Uwb3yE5wPDx50gTzJdVjz/6qIp9lOBmuZ1fCmXrBIYwW4sPqx8nj5EO1tNxR1eev1OPsBurbytPQrjDu7cp2lrcu7wPtd1izzqBynpqaKk2bNrUqeMdYERhH5MY4WvZ+e2wJoj81DgIBZmi3HVFYbDp17iSnn3q6mjR/S12b/6Js++Tdzo1whGfSQpJ87Ojxamp9jB0/8M7fM4L+URBzsaCxA+aslMWFBQg7LY78ntfz1Tgs2EGHY+HDbwIaQQ899JDZvcFAFyx5xgYZAmDu3BXSc0GscOa97777CrupOTOmybAP3jTDbK5O7GO2gyZV6Gvvn8eKQfLyMw+bhtupp55qBDzvwgtguJ1MrMcdd5xx7yBOCLC1IY4RAmWRJC+46/koLwrFQ8DHA5g5sYJwM7IqHCkg78DxIzAH3plqn4c8cFp80XM4E0M8/15VadPWrJbhineL5s5R9WHmtoADRj2evviWVcxb6vK+IXiOj61h770mP/84WX5/0cVmZoJ+ezrSVtXgsPW+0A/6Fr78HTGB2N+Hn9nL6E+NhEABwQJCha+zzj5LWjRqJc889qx6sMV7bYA8jni7ElrUTb0gr4c7rr9LLv/TFUaB88zT+PtwXzzvr371K5vg+M0CO3r0aCvX88eW4WXV9Bh4ARsuxoDfGH1iZ/vdd9+Zyjgm6tkNQqxAlLCIw0nxRZ48XBAtPMNw1EGHHCLvvPqizJo2VZ8HAt4+xtS1K4KPuce0b8Qnb8nkMSOlt3LlMGwF8eULoPfD28dvAly7M844w44nIdQI7PZfffVVU7f1IzLvH/m8DEsc/dkOAj4exMAM+DMO//rXv+TFF1+0DQjHkMhK8ZyLzRbjx3EQwcsIw5qNy9XXXKuuHUbJJ2+/rKSpjl/+sTd5wmn5vbOCt42+cTSFW4phH7whX3/+sfxWuUaDBg0sqHpXtamgwp10Qz+8L34fGztcaALvGHcu7v2Z3UR/aiQE7EjIew6y+MQAC7xb927y+qtv8j3LPgfspUKIWYY4IE8YsTz/zoi9HmLWsEaNG8rtSqy0a9nR2MIsioTCENrzentJ17Onmfc0DgtCexg1g+1IID3By7IfNfyPwwQwcA9+cPyDrQt2uQMHDrQjoU563szkyy4XooVdLpfDknyen4WFBb6RsnpxUjdhzEjpM2A/dYjYygQhPR2x5y9uGFisynIk5OUTE+KVyFo0Z5b84+6bbNFD48dxw9vv7SEO35OfbwbVbXAS0+MEdv6zZs0yAg6BZNIAp3B+Sxj92Q4CwIdx4QL2BAQ0kVfjGAHrqRzr+hgiuwKhDBcFgtHzk9fHibQQNHBZZ86aLaNHfqkaOUmGe+CQl+V5Pd92DSvnD+ogeB38btiooXJW3pSXhz4ibdu1003VbWbwkjZ5+3dGW8rZlTJn974Qhy+HS5kLjjJWewhsR7A4IvGRMNFi6ItF5eknh6pb9hbSY4/uaipa3bWzKcmfUHYWkoU/7GCCF93B15cnHhoqM36YKU8/9XSBVdGiPmpvo38UlMmCgeQ9hs04FkLW4IgjjrCJzuvcWX2qatgEPByGDhM4BRjpwuw+Rro4ZuOIh8CCAcFCgCAB1l4GzyjLY8a0S5cuar9kvYz5brTM+HGS7HPgIPVM29h2yp4unN8yF/KnLASLl0vMxZHUwjkz5ZE7rlHvzxmmWYZ6Nu0Ev7w94eq9DO8X7+Ay0S+0HrDUSQAmM2fONHzF3DjB83psD6M/BRAALgT/djG3jxo5ePWPf/xD8DPjAQIYgoWALAvcvVi4+hgxnoxRamqq+YT6fvRISaydaL6ltubBzVHLuYqnpI8tw+sra+zlWdnajq1aRz31ozX+2xHyyrOPqkuTbONa4nvL8W5ntKOs7Y/yRRDY3RDYjmChMT5RONHSu3cfdVmfJ0/+4ynp2LmDdO3RRc2Vb7J0Tij4h1hRnfHy+FhZjBD4Zbf+wtB/y6fvDpPn//mipKrlSt+BeL2kjw3+wfOc9pKHsrAFgAzGp59+aka/MCrHzpi6SedtiC2vpvz2/hN74N6NdLGLRXr/mGOOsde8Q72ZxZl3wBg4EhxPuPdyGRcWmkMOOVgWqJnu70aPkuWq5ty+c1dp2gKvrbmk1oVjx2NRGoLF+0P9LAqUj9zNAjW//8hfr5Xly35RC8mXmEsB0jou0PZY/Arjlr7V96QKiBY4LXijRZuFgGYaXmgxOodDOEK4/NiyLUEN/QNcfJyAP8LM2LvBGBwyKxglJDjMELaFWOYoyLWDeO945+NEzMW447KDMfpSfUFNHDNScbaO9OgzwNTZtxjubSNawnVxX9rgffF28Js5jTonfPulvPDYPeqVfKWaXbhVZbuO2+4bIS35ohBBIIKAcsHv0BAGhH/UxHzwubmbZb/99pfsjdnyjHJaWrRuIb369NQFZYstOJ6+Ij6s7T5sNRe+ReuoU6+OJKhPl2f/8YJ8/t5wGfrUULNPEN6BeBvC/Qjf+3tvI3nZicGi//rrr834FKxihPjoM4E8nj5cVk24934TzgBQIQAAIABJREFUcxGAB55TQReMxLFwnHPOOcZi5z1EA8QKRIiz5b0cz++xPwfW3ONUcOHCRfL1iGHy06Sx0n2PvtK4aYt8/FOPyVp3ceNREoIl3A/aAQ4kJSfZEdSc6T/KY3feIOlpq5UAC4RneU+d3ma/twehPwVtw9i9gsr6pv1qroKgHF2gdovQLQHnfFgDhgOTmpqaTzAV37dQVTXi1nED+PNNzpgxwwgULKFiU8mnK4c76eCugHdonfimw8crHHvZPOOe8UFzaPKkyUq0fKPjkScdOnVTrkeK4TNG3LwegO/5SzMQ4TzcEyCQ0Yob8fFb8s+H7zJ7P7fo93T2WWdZvV5nOG9p6ozSRhCorhD4H4LFO+ofC4sKx0MHqUGfxITa8sw//qnO07ZIt55djD3LEYGn9YmAuDQhnJ98LEDx8XFSX4+AVq1YLY/f/5T8NGGaDB36rPTr28/e067S1ucTATETHZYVOdbA4y6EC/fsfmkPobTlW6Yq/sfHgtjhAKw53vjb3/4m33//vfkRwamhCzfy3rkrsOPhrjhb3scpDJZYuJLmsMMOk6XLlslUtbswesSnSlA2lZZt20lK4yZmqwUC2cfP2+hlFkewkMbzcc+ihFNDdrfr16XJqGEfqPryDeqMcZNcpJwVjAtSnrebvEWFoB0sZLqb13R2qesJsii9rfjV2mQSJk6cYEdElIn8DwQMavbtVF7BCaNYmBRVZ3V+7uPqxApq4WeffbbhHFwVrKGCVz42wAIi2bl64CNEDuWE0zjMYmEMkdN7jz1sLFCzH/HZh2bMsEWrttKydXs9KqptpvLLMkbeF+qG8AFJaivOUebSRfPlrX89I/96+iFp0rS5fk/XWj9pD+2Pbae3P4ojCNR0CBRJsIQ/Gj4iCBMMgnVVw19PPzpUxo4ZG8i19OphHxgLFp6XkW8JB8opLIQ/aN7zO1ePnkjfpEljiz989xN56G+PSp34eqoZ8JLtiGD9sosKt6+w8ot65vV6/k4qLMqZNh6G0XhBxiA1NXW7nU5RZVXH5w4X4ERg4sc6MLIqmJzHieT1119vqqSk4T0TOoK24AjEChwWAmWFY/uR/8fr8RgcQ4uLWhfoEdGHb72iR5E50qBhE2mQ0kjjFD3j36TjAsdFE2lC0pK/KILF+0D7IFSMmFKZgRxt59yZP8lrLzwub7/8nB4N9JBLVcuJRbE0i0ZQdwCDyfNzZOGqgBtUW+1e1U6MM7XoLqntpYma9v/++4lqo2WdeYhepFwWFllkqTBsWJYFMR+M1Sby7xJYgFPImOFWAzs/yJi98MILtkEKEyKMO8dBbKj4hl07i3EheBwGEs+8LsoiL5wWjojXqHn/USqIO2nsSMXh+pKsVphTGjdVwVxVfVa8y9W0hQUv099RPldAHOuRoxIqlLFi6SKZNOZrefEf98m3X30mgw47Qq5SX2cnnniitQP89LIKa7uXH8URBGoqBIokWACIfzzcQyRAlHTt0tXOWUd99a188dmXMnOGChM2bSxdu3fRD7O2ER1MAka8aL5g3QvY5ZTjH3PwQW/ztsruqEnTRjZZffH5CHnpmX/L6OFj5fhjTzD/LLynXBfkpKyyfNTep3CM5hCTF0K4yBygfYCzRN9p09ay1EUbq1KgnwSPgQk+Wh577DGzZMuR2e233y49evSwRdYXD4hIFg5ghFCks+X9fVEw8DEgneMDsEe2IEMNen3w9hsy4buvbLGIV65IsxatpGGTBlpcsIvGURzm1VlIfsg3HNd/7/3ztT7w+IpfliRbeOrq0eIGlSOZ/sME+WbYh/Lco/fIvFnT5fgTTjKuyuDBg0tFrDiclPFjNPrtb6TLS19nybwVuTJveZ6sSt8i2bq+oXm0X7/u0qZ5A9Mc2piRLbVUhXuOyrOkp2+QffbdR1J0sXWYO0xqAr45XtB3+guxwj3zDMYIhw4dam4PIFaQ/QFPCI4vztWD2IVgISZ/SfGOOsnDvML3vt9++6mRskbmiO/9N16W+TN/1rZkKWc5QTV5mkijphijq23jva3NqFSrvJV+OrhzoMyEhEQjUuqn1FHiOMe4NpPGjZT/vvSUvPL8k1JP7VqdO+Q8uUEJf7wU8/0wr5HXy3XYRHEEgQgC2yBQLMFCMj4i/5DYAbADxYrkySefLM1VzuDzD4fLuDHj5asvv9aFI0+aNW8qqe1TJbl+si1c8TrJkN++aP3LBMGClqwfLUc+TRo1VguPdWX2zNny4Tsfy/NPvSiTv5sqDZObyKOPPWoGxqiTD5n6/YMOyqSFpQ/eH2IuzpSxz8Di/P7775uswYEHHmhyLr7j9npLX1vVyOH9IyYw6cMFwOYFKqTYu8DgHr4+IOQcdqSFu8LFDhfuSvgd98UF3lOnL0bAG7XTw5SASElpqMc26+S9N/4jP3z/nWRt3CBrV6+R7KxMNWFeTxo3ayIsCnFxSTJ10jiZMmGsHHDIYXLQYYertlEdWzRWL1sui+bNkp/UCu6Xamr//558QH6YMEYOVHV2ZHCuvPIKW6xYtEq7w6Xd8XoEtHzdFhn+4ybJylHvzkqoTF20WUb8lCM/LNgs03/JkSVpcZLctLM0aKSWVufPUC/oa41bNEcJpqTkespp2dtw0MZAgeUw2RHsioNrVXlnfc7HAQgWxgAtIGz8QBjjDds3FLF9gkgG7yBW/HjSYeZxbB7/7TDmN3MSeEc5aLx10U1ZA9WOnD93tryrVmfnz54mq9Rh58qly9Qy7kZLD1GiiKvcv4bSsLEeRSUkqzJCthLQKlOTvlYWzJkhP078Xr4d/ol89N9/y2svPi0q8q/m9s/Uo8eLzMgixH1FbMK8T1EcQaC6Q6CWThjBClWCnvrkwsTCB86ugPDee+/JRx98JBuzN+iVLsn1kqVP394qwNZez/DbqLfbpjoB1FcWeYLtntarKuvK5atkyeKlMnf2PJkxbYYkxteW5Lh60rZNO/nNb89TAqK/lc0uamfuPugLgQUTx3WXX365saFxmIjMBsK5TG6+e9vRRGiFVbE/Pq5hVADuEG/4YSKwgGAYjQAM/GJ3iPVRiBgIWY6EeOdlWoYS/AmnB7dYuAioA48ZM8bcKnz+yceyUYmo3v32Um213tK2QyclXPQIqkFD+fqLT+RLlUE4+tcny6Ajj5X1KkDLYjD75x914Zkp82bPkDpKUB159K/kKFVXHqjcInbthHB94XbYyyL+kA7uCgTLZ5OzZegXGxX3laOTAIGu+KTXptytkq1ETFaOqtLWTZROLeJk2axxMmPi55K9drZkrJortXMWy3VXXSY33HKnxLHobeZIRPFN81NOWWBZRJMr3WOHNbEv3Nj2QX2ZTQRG4tDe49v0tN4J8JNjI55j6ZY5gm/ZCV9PV5LYyw7Pazwbr/Ja48aOUzclX6pG4VTbyPTq00/ap6omW7MWJo/SqGkzk4eCWFm3dpUSojlKZK+RBfNmK6EzU+eNOJ3LBshheqy1twr5w6V0Aom2Fta3krQ5ShNBoCZCoFQECwDiQ/bARM/H55PEjOkzBIdvM2fOknXr0yQja4NkbsqUTSrQmAvbVPmmOFNkd5JcO1kXkHpSv059XTha6kfd14y4IbVPYAKjXCcUeMbkXZHB++Ix9aHqjJwGC+UdqhGDGXDeez+5r+h2VGSfyloW/fK+Ma4YPsNIF/IraARdfPHFRoyQxsebutjl4tuFBSZsAyM2XUna5fWTlsUDIghuHGHVqtXmCG3atJ/12O5nmagG5+bMnmUCjc1atpaN2g44ZMiE1NXjw5W6I2YR691nT2W795MBatuiY4eOys3oV0CogGPhcaWe0owtxEWSyqrc+266fDJJ5XeSwM9txJr90j+KVtoXlfNR4iWpbor2KUGy0hZJ1toFkrFyljRIWCdnHD1Azj3pIGmhxw5BCAgixMIgfgIiaFvZ+YmqfMSYQ/SCPxzJYjEZnMJo35AhQwrGn446ThGjJg7e4WcGzkiYsCvNGDoAKZNAXvAfHHc8nz17tixSQWnmhGk//yTzVWPpF/2NrR3kkghkT9G2oB3WVImY7nrM3FWF+HtpjFaYG6ykHvAavAu32QqJ/kQQiCBQLARKTbB4aXx4/sHxARJ8V8w9qoZLlwQO4NJ0B56pk5AtQLqINFBWaJOmTcyKKAJvPjGQj8nLFxEvn3hnBvriExZtwTbLH/7wByOaMJB25plnWttpB++97zuzTbuqbO+3x9TLBH2lCgNCtFxxxRXGZWFhII2PFbBgwWfhYLfLouHHQQ6fso6b5yeGcOFywoX2oR68ePEvSsSstIVi/vx5tnj5+MDp6dgx1draqlVLadNGuXz5ztXI7wsS6bm8Pt6VNGxRSoIlbmP2Vrnp1fUyRY9/UuqAG9uXQNkEq0tzIIjJo/iEJKmlWneJSrRn6BFCXvoi2bNbK+nUtp70bpco3VvHK0cmINa8xM3KsVF6X48WAgKmrG338nZn7HBxzgpeey+55BKTIcOKMsQy8wnpYseHPHD1iBlXjiLBER/P8vTL6yJmvqJM5iMPEMVrlbOzLm2d2oXZYLhfS+cE6k+qnZT/HdQ1dWn3K0VeyqLMiFBxSEZxBIHSQ6DMBAtV8QESfOLko/WJI0y8WKJi/kCksBByUZaH8L0/q+g4PEH5PZMLZ+cs2qmpqfLMM8+YpgLPY9tY0e3ZHeX5mAFv1G45Bvrvf/8rJ5xwgjz88MPbmQmnfQ4n5AdYOBhrbGAQUwblOWFTnv54PcRclOsTfmy5cDA4SgEjUS+ODeT1doXxKnwfm6eo37QlTwmWBGX3T5qXIw9+sMHkWGrbKdb/1u3lhPujULRtOYLB8fFKmOiRaEZmjuRqO1s0jJem9WtJ0wbx0rNNgvRQ4qVPh9rSqD6kShCon8+PrgYcmIDw4m1Z+pRf7C6JHA4QHBCicC5Qk/9aTQtcd911codyNiF+GS8C/SEPOEWMATm4Kxw/QpyCdz62FdUBbyMxZRMXhXvF1QlxTPt93vByi8sTvYsgEEGgcAgEggKFv9vh0/DE6B8lH3X4I6cQfscG0vvlsjC742OmDeF6uWcCxDkfxyEImqIZg08ZbGcwAdFHAnmrcgiPC/fIBCDw+MYbb5jGxI033rgdsUJ/mbyJId4gNMnHouOTOb9jYVpWGIXh6xM+ZfkC4u1nvJAVIPiIME72W9tKOVyk8/bZyzL+CfoX4PXs5Ztl7UYVFo2DgAjkV4oq1vsTxBBXLMLxarNFYZabLfWTaX2cHqVukbSNW2XGklyZourSDevGSUrdTGmphMyA1NqyV+dE6draP13q1WMMNSuvXTTixfvocVHt2R3PvU3+HWH9F9s3ECtnqeE0VOZjiRXaGcA84HrA0aMc5g2fb/y9w7i8fQuX43VQpuMe97QhNng+Yq7wd0Fafx+bL/odQSCCwI4h4LPejlOWIIV/jP6xliDLdkk8/3YPd8EP6vWJlOpYjNm9YQfil19+MeE/BHAfffRRW8CZtHwS211tLi9YvL9OgLAI4FkYVdLU1FQj0rATEstV8rHlOXZXgAMseYcD5VYEdyXcPy87NvY+EMeGoogTLyM2fWl+B/VCIMQZUZGepQ7s6kCAlC54W4JYiUBlKCgqKkxrSd0EXfC0ODgpazO2yIr1W2X2slyZunCzvD1euS/14qSHHh31aZcg+3dNlPp1IaKDFsCYCNro8fb4XbpWVlxqHy//fjhORAMNdw+nnXaaCXYjCM17AnDh4rfjFHgK3oFzECyx7yuutUFJwdhsIzT8d2nrKWu+0tYTpY8gUJ0hUKEES1UGFBOKT6jcsyBzPn7bbbeZg8S33nrLLONiHwLhUp9EyUOoKhNSuL3eX3a7H3/8sXFXWATgrGB51t87bOin54e7Qj4IO184/J3nI31FBC833A7KDf92+HvdnsdjT+vpytouyuMydea0PFmWpsSrC5WUlmKJaYSiXUFARoa2ciViiE4JGOgRNI8y1m21I6jZavNlxFRVy1dlvfZNE6RP+wTZt5t6H27vsi80KMDrbXFBFXZTUXDZvtTtf4XHgO+GOlGZR7D26aefNhcZHEOmpqYW4Jf3nbzeRvJCsPBtQrDA2Qu/J10UIghEEKi+EIgIltDY+sToEx8TIxL+WHnFkR3u7bH0i+pzLIfFJ85QcZXy1vvmiwh9HD16tB194bka9jy7XXa0vrh43/w3hAq7XNJArPju19N5HRUFgHB54XvKD//2+r1v4XexacvaNsqEE5KggiNzlGDA7kpt5YgEdVbcghnbdidgIJTyT7+szo2btsr6LBVETt8sPy/OlXe/z9a2iREuAzomSl+92jRx7sv27YPWdlh5TL3cx9ZfVniF4e7lUjamEDhu5ft64IEHzIo2+OXpvX7yOH4h8wKhjEaRE8nk8fflaWOUN4JABIHKD4EdGo6r/F2o2BYyUfpkSclMmHh2RdPkaz1nx4Q/Kop7qA8S0oUn2YptScWXRl88+OIxZ84cO/7BIy6aUWhnIEDrxInDw9OTH2IF1VN2uBi/8gXD03odFRVTt9ePXNEEVWnGUBiyDv6Ounw8vB2onaJ9wm4c4UzvU/naFQjcmv2VKdkyakaO1K2thIDKkRQI0JSvgkJz0ycPDgueIWicoAQT7UEWJket66pxVXMTMG52jnw8Uds4fZMsWqNaKrq4N0tBzkYJEi3M4eSxlx90ZBvR4vVte1/yO8/rhAV1vf766wVq8hAtp5xyio0jpYbb4nl5Rn64Mlxw9bg8fTi2h9GfCAIRBKolBLapHVTL7pWtUz5R+kLMbzRmbrrpJtvhYZsFY2YeeO+XP6tssfeJdvk96sEsGDh//PWvfy3XXHON2Sjx9ywU3i9/BkcGgoXfEALIing6jyu679RFvYSPPvrINLYwakd9jBGX103MhQbTDTfcICeddJLZbyEvi155A5wOCIQ8FXL9RYkAirS6t9ET5a1ih/mpLxyADwHtKNqWmC//ok2VHD1CmrNcOS9js1T9Ol1Oe3iN3PxKurw5JksWr9ms7gPUaBssIw0OOy+ecoOyg/q8Hktcgj+kp8ww3MeNGyc333yzPUMuDOF2f+/1e72en6rgroB3cFbAO8bc38fCowRNi5JEEIggUAUhEBEshQwaEyCTIcEnRu5///vf26K+UJ3XceYOd4L3BJ88PZ89rCR/wm3zexZ0BB6RzUH7CVmd1NTUgn6HYeB5iDkOQo4AQoWFw9P5ouFxRXY9XKbvrOHusIAhFI3wZjhMnTrVbOfgVsB9G/E+XE44fUnv6f8WOCnKn5i/KpBfSdJDVYNPSQvZCeli++Xj5d6j4b4oSisXJs44MBPnb5Z/DsuQ3z2ZJpc9t06e+ixTxszMkTXp6kxwkxrsUyqMMrdd9Dv4Hiibi+BxYV3yNnh6vpNZs2bJb37zG1mgzi2x74MxwsKIFeoN5ycNR0FOsEC0+PvC6o6eRRCIIFA9IRDJsBQxrr4IMDEy2bLD5xgCzaHFauXyP//5j8l7YKPFPe5WxknU20TMRWC3ikYQtmbatWtnXBY0gjyNE2FhGHBfGHeF8sjnefi9M4K3xRe4zz77zLRL8OZ75JFHmnPGTp062aKG+XMIGjRO6Kvn9f6XtX2Ug90U4tlLc2WBemdOSuQoJiAIylpuRefz/obLDdoecDyUCYP2tJJdtZRLFPTjrbGZ0kDVqnu2TZT9u9WWfh0SpGmKOhVUY3h1VKg31rYNsCysHq/T6yMd8l7IR3HcCNECoYLwOs8JpPX0XqY/473LTEEkQ6yQDzzY2ThH3VGIIBBBoPJAIJJh2cFYhCdSJkl27DhK/PHHH02zhp3f4MGDCzQWvDifeP337oh9USHmItCHYcOGyV133WWLOwsH7u29veHY8/gzFn8sGPMby7YsIOHg6cLPKuqetrBATZ482XwczVPz6CxeECW4g6AtR6i/FgK2PV566SVzosgR0vnnny8QM15GWdtEfidOhk/dJN/N3KTqzGp3qKwF7uJ8240PjUaWRccSAWIIL/2l2kd5MnY2qtNZMlq5LhA061Vt22VkNLnZejEjfQqP7crM74/jjcMbDhgm9z/44AM7osOSrVtFZkwpg7Relud38MBZoQw4ei4z5Wk99rRRHEEggkD1hUB0JFSCsWVS5GJyhcuA5+KHHnpIevXqJU888YQ8++yzVgppfOKNnXRLUE2FJ/H20BZv1/fq0A2tJ2fLI/DohIf3k5jg+T2GOIPggVAgjz8n5toVAc4JAU7XlClTbBFs1aqV0C8EgWkbxAqefrGG6m0sb9uAH8ciyIes2bBF5qmGUN0kxQd9ViWDDVcwZvTALedCvNRTn0jN6sdLeuZWE9q95+0N8oeha+X6l9Pl3XHZJvfiOBXbd8cznvO9cPSInBRHj3hAx3IyRhjhkhRGrJDPx4wYfOMIknu0gxh/r4NnUYggEEGg5kAgIlhKONY+STrRspd6XmXh5zjor3/9qwmD+kTraUtY9E5JRhvCFwsEPoIgtCZNmmSyBBdccIFpz3h7vf00yPN64/w4iN8sHMCBNIRduXCwgBFSU1NtIUOmBW4PLgU4OqBNTliFCTHLVI4/AWwCgnTJ2jz5Re2vYBsFrkR1CD6GjCjCupv1j9Iu6pxUVde1n4l6jtSsQS1prAbrkvLNvHge77/jEbGPE3JSqC2jVYfhRcaNQN4Apts4Kzwnb7gcuHpoBkGIwmHhnaezm+hPBIEIAjUGAhHBUsKhDk+uLP4s4GjW4MmYSZUdP5pD/s4n3hIWX6HJwhM+BdMmFnTM7nNEcswxx5jwMJwJFpbCFo9wfykPIoB+snBwOcHi6Sq0A8UURn0Eb4t7iKaPvmP39hVTTKlfBQtlsLguUIHbJXpUYgRLsH6WurzKmiHoZ2BnZpNqEK3LyJNureLl4qPqywPnN5Rj91INnXxiw8fC++K4AOHIeMDp+vvf/25mATgG2nfffS2pj5Pjqecn9jKIwU2Og0jntlc8T2zd4TKi+wgCEQSqJwQigqUU4xqeTJl0ubBdgsYDGkOoa+LIjZ09BI2nL0UV5U7qEzoxgTZy/v/Pf/5Tnn/+eRkwYIA5mOvWrVvBLtjbGV4EPD/PfOEgZuGgf+H34Xzl7sAOCqA/3gZvmxMo3iYvgrS8q4j2UTZyHKYmrCbyic2eSfVgsCjIAnxBLZr71aox1KKR4vcR9eWW01LktP3rmME8fBZBsACPMLz9N8QKxzZffPGF4RnHdBAtxx13nKVnLLhIX9i4eJnElMWREmMY5q4Uls/HPIojCEQQqL4QiAiWUo5t7GTLkQTcFdQ1v1bDcgixohHBYrmriRZfBIh94mfCf+edd8zjdIcOHYwjhCwBbSPE9odnnt/fsXDAYYFQiVVl9nrIt7OCt4fyEfpFpgGPvR5QM0deJTaQFmKNthPK2larX49+gMcKFUpdqNpByWosLlBxjq21Kv4OiAcs6KZnqqsB7eeZB9WVG09uIBccVk86No+XzbmqlaPPIWiAB7DgIvhvJ1ZGjRolf/7znw32d9xxh5x33nkF34LjlOcNQ8vgnF8294wbZYJ3EKleD3EUIghEEKh5ENhezaPm9b9MPQ5PunAd0FRBjgVC5bXXXjOfQxjFYpIlLcSLT7ZlqrAEmbx8Yr+nbSwe9913n3FJsB1z9NFH2z3t8iu2+Nj+IUNAWWhowOrnPcHj2PwV/Zt6qJdw+OGHm4PGgQMH2m9286iWo3VC+8IBgWLUtvv27WuPGYeyBIOHynQA1xXrt8j8ldXjOMjxBM4Rxz/4KRq8R5Id+xzYHTklVSnO9wKdqPb+Sa+jvt24exlOrCAIjYFFOI0Y7sP7MgEY+mUPCvljcNY6iCkP7gzjDpHsgXdRiCAQQaBmQqCWTjjRdqUcY89CTmAxROUWFdoFahgLzYgrr7zSZC3YIYYn43JUV2xWhtKHkxjhWhYNzO5fd911JrfSsGHD7QgW0oUXAc9PRTxnl5uWlmZ5MNkPEUbwfOG89qIa/qGvaAhheO2/YzLl4Q82SpMGcbqYA6Oq12EfOzgqoO+GrDzpofZXTtqnjgxUgqVx/YA4wQAuaYrCXS8Hbh34v3z5cuOs4H0ZgW7kVhBKJx2hOMLd05COeziDa9euNXxr1qzZdjhaE3AOOEQhgkAEge0hULYt5/Zl1NhfPmEDAO4xvgahwo6Qc/t3333XzvPZLYbTVjTAKNsvJnMWhkWLFplGEOq+mD+/9NJLBWLFj6mKWoTCzyHGEHokD3IEsYTXrlo4vG/AjTYhcOuEIu/47TAOw5Z2x6YNvy/pvULXjkM2Zm+RWWowLi4ugHdVJVY42vHjHzR+Ljm6vtxxRoqctF+yEiuB2wFIDI5/wvgQhhdw5x0w5h7iguNQiBWE0eEw4u2cd4SiyvEyw+8ZWwgWuCsYawSfee+X54niCAIRBGoWBCKCpRzj7RNoeLI9/vjj7Xho5cqVJi+C8z2OLXxi9wm8HNX+T9Zw/dzjI+ixxx4TrMAOHjzYZGxat25tbfDJ3xeccGE8C7ePNoe1NFhA/D317KpAXV4f7QeexASe89uJqXCbaG9s2vD7ktxbf82SbS1ZZcdBeZKMkTUz0V+SEipHGh83jn826zEPQsPHqcbPvUNS5LxD60qH5ghSBxyXeCVUXLCW1jvsvSeUxTMnGoH9k08+aULdGO+7//777SjO35PWLy8jHFOet48YIhO8Y/yQEfP3niacN7qPIBBBoOZAICJYyjnWTKI+GTNBM8nic4gjmGnTphnxQsykDgFA2oqceH0y9za4RtALL7wgXbt2lRtvvFHQCPK6vX7i2BB+R7kcB5GPtru2jfe3IvsQ247K9BuYcByk/2X5+jz5cVGOmqrXMaxMjSymLT5OPt7pWVtMiPbv5zSUq49vIHu0g/iD+KBHcOcC/PRxji3an4Pr3IPv2FrBJhGyXOBb7969C7JRr+NVwcOYG39PTLlwVwgVX4T1AAAgAElEQVRwKosjsGOKiX5GEIggUM0hEBEs5Rzg8GRLUUy47ArxfHzmmWeaJ2Qmc5z0Mbk74UBaX0y4L23wvOH6ITA+/vhjM9DVvHlzuUM1NA466CBrE+nCaWPro7xwmfSDXS4xbHmIlvB7yqruwWECV0JHy7weQ7iwsAdx5YeAj1N2zhZJVhF7NH8e/W0j2a9bovkIoh/0E0IFNW3uHVdie+fviMFj8PnNN980x5nImTz99NMmFM17LkJxOMf7cFp+U64fB/EdEbws+xH9iSAQQaDGQiDSEqqAoQ9PykyuLPIcwaA5tGrVKnOU2LZtW5vY0WbhfXl3jr4QUR9lIcPB8RM+gpj0IZiQJfBQ1CIUfk+7vC+w5bkoG0Fb4vB7r9/zV8eYPvpYYZdk6oLNao4/4LhUlf7DHeJ455gBdeSSo+qppVoIk2C0oCm8H+AR9/4udjz9veM3R20YIbz22mtNxfzuu+8u8EkFzAiU5/liy/PfpAnjFcQKecA5iOTwe88TxREEIgjUTAhEHJYKGvdgsg+4GBTJpIs5cibyPn362Lk+Hp4JPgn7vT0sxR/K5mKi9xgNJQik+fPn25EU2krsgAlh4qiwarw87wO/4a5ABMFdYXHimb8nrgnB4JLf0bSMLTJDBW7dO3NV6T8jlaM2VLI2bZUmqv2D5o8OpV4BrtJHQnFj6mNP7JyVn376ydTl4RxCJP/pT3+ycpz4KAmuGHxD9VM2KvTkhbtC7HUX1z6rOPoTQSCCQLWHQESwVOAQ++QKgUDgN0cyt9xyi/m7IX7vvfcKFgcnOEhX0uB1eB7qWrx4cYFG0Omnn27q1JisJ4TbUtSkH14YKBfOCsdLEDzOXYmtt6Ttrcrpwn1elpYnXPjUKcVw7fbuM7ZwWKYszJFhP2Sb5g+ODsPHP8U1MgwDCAq4HrNmzTLvy6NHjzbts8suu8xwxdNSp+NUcWV7GmK+BT+CRF6Ki+BlEkchgkAEgZoNgYhgqcDx9wk4PMlyf9ppp8ntt99u1lghWvA5BCHBu3DaHTUlNi31YSMFj9HIrmBMDaFHjKX5TjdcR1Hlk4bgabEkC9Hi2jfh99RZEwJ9pq8s9tlqVG3ivM1m3TZY7KsOBOgHHqbXbsyTN0ZnSWZOcESEkK3ja1G9cRgQc0GsgG+PPPKIHT+ec845JmwLcez45mV63uLKJo0H8nMcRBzLXdlRWV5GFEcQiCBQvSEQESwVPL5M2D5pQ5QwAcOpuOSSS+Sqq64yzSEsgXJ0w3MmY5+QwxN4bLPCafwe9jnaQDiZ69KlixFFHEP5e49pT3HB05GG9sJdIaCl4cK23i97UQP++BgCmw3ZW2X6EjXHrwt/VTPHTz8gTurWjpMF6lLgxeEZip9qwXbLtuOWwobTcYKYC1yGkOWI89lnn5VBgwYZ57AoQ4Q7wjmHr8cuMwWRDN75c2KuKEQQiCAQQSAiWHYSDviE60QLZuOxfHvGGWfIyJEj7dx/zZo1JSJaYhcPfkNYIPQId4UdKXIE+AgiePqSTvS+KBCzKEGwsHA4W54yS1oWaatDAIas7PQ7bcMWmaMODxOUYOFxVQs+vooyMnL6Jpk8P8c8TcMtokPW15hOkYfnjkscBz311FPGXcHVAQYSUV8GD8FxT0+8o+Dlks7zubBtmLvC+8LaxvMoRBCIIFDzIBARLDtxzJmMueCkMLGjKYQFUHancEVgrbOz9EnbF4fYJvl7npOGBYJjJXwEYWEUfy34COK5l1HSid7TEbMoQawQx3JXPF1s26rrb/rLcRDciWm/qNdgPRbSJVzHqmr2mP7gsHFpWq68/l2WrFMhYiUXJE+fh/GL3pE2fPEegXE0gjhuhFg5+OCDTSi7tMQK5Xt9HiPcDaFMWW57hfp5zxWFCAIRBCIIAIGIYNnJeOATL5MxREuvXr3s3L979+5mjfZf//pXwaTsi0S4SeFnvptFQwOOCgbp8NkyZMgQE44ln0/yJZ3oSedthHhi4XDuii9GXma4XdX53uFBnKUyH9OXqPyKcVeq7uLJGEJ81U+OkwlzNssnk7NMAJcjLu+vj6njBPgGsY2gOI4zOf65Q237YM0ZXOEdITa/l1NUHE5PHe5cE5X/mnoEWRSsoucRBCIIbINARLBsg8VOufPJnxgCgImeo5tbb73VVIYRkh02bFgBd4TJnIvgEzuxLx74CHr44YfNC/Opp55qFnXx2eLB6/PfxcVeF3koH+4Ku123geHviWtSCMMwWwmWCXM3S231uVPVobBVx5l/HAV9PiVb5q3INa0nfofH2u8hHnCciRbQihUrzFcQBDI4zDsCsOIqafCyPQbvIJL5Heau+PuSlhuliyAQQaD6QyAiWHbBGPsCSMyulCOXs88+23at7C5hteOkkHdM1OH0/CZA7OAjaOjQofLWW28ZS/7mm2+WDh06GLERm68k3QrX42x52oDsSrgtpKtJwWFJv5esy5PFa1R+RS3BVnW6jVHEkFy9pDglVvLkxRGZkrYRGRQlWPPxjj47cTxz5kyTu1q2bJnh6OWXX17wDnxw/CkNbpDHL/KB/27vB5zzEE7jz6I4gkAEgZoNgYhg2UXj75M7hAeByZmdKxdHPLDaFyxYYM9ZMDy9EywZGRny8ssvG8GCj6AbbrjBDNJB/BA8PXFJAuV62cRwV9jpQqzAYfFyPC5JmdUhjcOFfueqk8DxszfrAu+yHlW/h/QLjkq95Fry7Yxs+WBClhIMcPMCoiVPLcuBo0uXLjUiZezYsebtG44guMY7yuACVsQlDQ5bYkKYu4KBwppMJJcUhlG6CAI1GQIRwbILR98neSZ9Jm3O7NEcwucQnpWxVAvrnXdM5uEJ/osvvjCPuCkpKQJnZfDgwQULhi8gpVk8vC3E7HAx2kV9sdwVntWk4LCk39hfQaMmQb+Squadubgx42hIlECprUbwXhmVKd/rkVeC3iPjomSIcT3AMWz7nHjiiUZMg3cQFGH4cF+aQHrg6jEEsh9Bgnf+3OPSlB2ljSAQQaD6QyAiWHbxGDMZc0G0sGNt3769yQZg9A1NjH/84x/WIt4xubNIsMtFIwg1aGy5sIjEyhCUlrAIp4e7wgVnxbkrvrDQ1poU6LfDJlPN2c9UgVsWc31cbQIjyhFQvPZrkxJlz3yeLgvVRgvEClylO++8SxAGHzBggOFdamqq9d1x13GjNAAJw9VxClVmCBYId+euUGZZyi9NW6K0EQQiCFRNCEQEy24YN5+QIVrgpPTo0cN8DaEy+uSTT9qxD5o6pPv5559Nq2jKlCly4YUXGnse4UQvg8nf70vaFdJ7Hggjdrq0I6zKTFmkqWnB4QJcZ6vtlU16XKIUJv+rVaB/wdFQnCxcvUWe+iRNtipx/M+hT8jjjz8uPXv2NBs/xI4HZcE1B1o4L+WBcwjvwlkB18PvuY9CBIEIAhEEYiEQESyxENkFv8OTM9UxgR9wwAFGmEBAYE0Uo3DYWEEj6LPPPpNTTjlFrr76amnSpIlxZigjtpySNt0XBGLqg7sCx8bZ8l62pytpuVU9XZhY2aychu9mqQE9465UT8KN8c3VY6C6tVUTamGCXP3gCLnvwUcUJ3JMbR5bK44DxA6fsoyz5/Vy/DgI7ooT55Tr9ZWljihPBIEIAtUbAoFuYvXuY6XsnU/c4RjNoeXLlwum+/E5tN9++5lGEMQMxuE4PoLAIE84X2k6yMJBIL8LPbLTxRJv7E63NOVWh7QGE+Cj1xaVZZ6yQG2NxPFb6frquulXWRbMMcVLjkzP7i/xzQbIc3/7q5x88sn6HFmqAF/gBpY1gHNhvOMYCIKFMh3nwMWy4nRZ2xXliyAQQaBqQSAiWHbjeDFBE5jMmbCZwC+66CJZuHChybKgPdStWzcjXvbaay9LQ57yTOzk9bogVBC2de4K9ccuLrsRPLu8avpei0vhsHJDnixdm2eCqazp1ZVeAQURtVXdH4lPjJdOv7pPBh/TwXDCiZXy4JvBVCsJx8iuwNVr0KCBcfV4R6CeKEQQiCAQQaAoCJR921RUidHzUkHAJ2sycQ+LHOIEeRIIi9atWwsODcOERlkndsrn8gXIhW3Z5bqwLe3gfVnrIH9VDWHYjNXjIIRQFRDVlljxcYJIUypN8jZvkqQGreTWN9JlxbrNSkCXn4BwXHOcgkiGu0LgCNI5N57O2xTFEQQiCEQQiIVARLDEQmQX/maBJDBZM3ETY0DuscceMyu4+B7CUeL//d//2VEQmhQQMZ7HbkrxxxcFYldlJjvECmXX9GDwySdQUGdmwfYxqtaw0T6DinBaZEuuLF2fKA+9t0qycwK7K2FCrjRwIJ/Dz3EPYgVCGSeH4J2n4T1XFCIIRBCIIFAUBCKCpSjI7OTnhS0C8+bNM1ssHAWdddZZpqWBJdt7771XXnzxRZvcIVicaPHFoCRNDS8M3LscAbtc566E05SkzOqYBm5Djgrc/vyLEiy6fpZmEY0dj9jflRletWrlc970cChRD4onLkiQv72xWnEtcLZJX5zoKGk/PL3D0AW8wV8nkstSbknrj9JFEIggUL0gEBEsu2E8w5M0kznXypUr5cEHH5QRI0aYczks2aIZhHdn3t95552mOYS8CfmZ9HnOfUmCpyUmL7IrBAgWt+kSbldJyqxOaRyOQPOHhZslM1u5AyXuYJDSvDvreGDbhACsq06grRAlcEVqme2Z8fPj5PVR6Ua0AJ/S4kcBTPNxFM4KeIdVW+euAB/gVLVgVXVGNWppBIHqBIGIYNnFoxme9P1+/fr18vzzz5vhuP3339+0hDp16mSExTnnnFNgARcPzZMnT7bjG4gOz+8LQ1Fd4X04rcsRcAyErAyLhZdRUxeP8II5Zd7m4Hgkf6EtCq7Bcw5SWHDFPDtDtLRtEm8G2CAAHK7Fl1FZ3kK00BcIl8CV+3Nf5ciH36fbkSXG5sJ4VFyrSedpSQe+QrDA2YNYcVXmMO4VV170LoJABIEIAhHBsotxwCdoX8jYceLM8NFHH5VWrVoJ3pv33ntvm+BJA/fjkksukYsvvlgmTJhgXp45OuJ5SYkWr5PYFw7Y83BXXK3UFxdv1y4Gy26vjn47DMbOztH74jkkDicIFGy2bMzaIh2ax8lZB9eVu85uIN1bJ0hObumPUXY7IKwBgUyLilWZWvfQLzJl3OxsvcfQ4TY4OQwKazO4RiDmglhBOwgCOeKuFAax6FkEgQgCO4JARLDsCEIV+N4XRY8pevjw4fLQQw/ZDhavzUcddVTBJO9qxo0bN5brrrvObGPgcwjDcmlpaQXmzCnPF4jCmhteWCBYIJIom8XD6yCfLy6FlVHdnzkM16o68zL10Gy8hvxFN9x3Gzt9gLl+qJr1mVukUb1a8qv+yXLnWSly4WF1pXPLRLniuPqSUjdQEy9ubMJlV6Z72gzRFq+CPDl5CXLHG2kydtYmxTnVJioB0eLwNHhpQRAscPYgkrkIQR3B8Vll6nvUlggCEQQqJwTi79BQOZtWvVoVO4FzHDN+/Hi57bbbZNasWWbFFi4K5/tOOHgMkYGF2169eskPP/xgsiw4ozvooIP+h1AhTzj4guGLA1oamZmZxlnBWBzt8LaRLzZ/uKzqek//teN2tDNyWo5yEwIOy/bwgLOgxyS6gOMMcV2GCo4m1pJDeibJuYfWk98MqieN66n5tdxAi6tFQyUIE+NknC7yCaqAhf21qgVb5w4pcab93ZwXJ9/NzDRirGPzRCNaQDXHq9i+AVPXfINQ2bBhg/1GbR+CJfy+uuJV1K8IAhEEKhYCEcFSsfAstDQnCIh9op47d64d7yBke/755xsHpWnTppbfFwF+cM/FEU6bNm2kY8eOpuqM92Ys3/bv39+OeUjr3JLw4uFl8Y4yMjIyLEat1OVXwvVwX9MCMAoICpFXv82S+SvUEaAu0nH80eDjh5l+BGoz1CnigNREJVTqyh+OqKeLeIJszidUElAtMtmVWtJDj4XSVXh3yoIcqVM7OE4Jj40VXmn/BP0I8EfURYGo92olwPRoKLV5ghRHtACvcICjB8ECvkEkU6bDweNw+ug+gkAEgQgChUEgmJELexM9qxAI+GJHDKeECXrFihVma4XjoGOPPdYs2WIgjvek8zyk9XsIDgQWjzzySBPChTOCvAsEj3NJPC0xgTj8zFWZSY8cgZfv6Sqkw1WwkABeCivlseDwcItqyfAveB4c/yCIumZjnrRqHCeXHlVPbjs9RU7Yp45xT/BwnKBHJRyfANPggsNQywiafbskycbsLfY+f2iqCJS2ES15yjhKShTtRy259931ym2Bc1T48ZDDgE6CcxAsjnOOq+E0VQQYUTMjCEQQ2M0QiAiWnTgAYWLBFz8EDzEE9+9//1v69etnxEenToFGEE2Jncj5TV5nr7MADBkyxHwLoQqN+vO0adP+h2jxsrwNEEPUTYBYiVVlpp6aGgy+2v8ZSzZLusqkAArgAQHCccgGFajNU6LktP3ryi2npsj5evzTqnG8clUgDAMV4ICrso1A5Dnl1k2qJZcdU19aNQoWdxgw2/MfKjvUtydakmvXkg2qEX//e+nbiBaFjeMZsd/TM46DwDtwjuNO3hE8th/RnwgCEQQiCJQAAtGRUAmAVNYkTmyQnwkawcO3337bDMHhRwUbK4cddpgtjqQhfWGEg5fj7yA29txzT2Ozv//++7J48WIZOHCgINcSGzwPC8fGjRutfHd06GkhhmpqYFzgrACnT6dskh/U4aH+VO6BHv/oMc8GPdIZuEdt+dPRDeTEfZKlTZOEfJXlfMHbfPKD/H5RpsOdo6am9eOkWYN4Gf6jmr5XuZetfv5UZYC+jWhBSyhJZXMyFC4T5uYEx0MtCpdp4QgSeSlwD9kVJ1gcTlWm+1FDIwhEEKgUEIgIlp00DL6DJIa7ASuc4xuIFAiH22+/Xc444wwTfqUJPomHF7tw0/w9MeUhg9K7d29BxfnDDz+0MgcPHlzAOYEIoSyP2eUicMtOl7z+nPK8/nB9NeWe/qP1AjfllVEZsjQtT+/FOC1dWiihcmx9OfPAutJV5VGUTtS0fkQUcFB8XMLw4lnBOOoY6OCqzIfm13jsnM0qzxLU6bAP56289zFEi7KeIFq+n5cjnVQIt4P2z5wlajLtpgUIFWwMoToPMQ3OFQavytvnqGURBCIIVCYI1Nyt9U4cBV+siAlwRCZOnCgPP/ywERjYVcEgHMQDxAdhu0XOnvzvHy+XiZ98CODec8895iyRYyZsuUAYEbxu7tnpIkdAYJfrxAq/a/oCgjE0BGXXbNxi3pkzVaAWguVPeozz93NT5BhVV26iHBKOhBhOCBuHbXEEx3bjqRkp89yBdeWEvZIkLTNPhVi3lcM4VI2wjbjNVSIvWQWJ0zO3yr3vrVdtqBzFPaYT4BQQ1RDI4ClaQXwDwM2vqtHfqJURBCIIVCYIRARLBY8GE7IvVhQNcTBz5kyztfLll1/K6aefbkbgOJYpDbFCWV4u8f+zdx4AXhXHHx/qHfXoHaRLE0SKKKgottg1+rdEE42xxxhNM2pssUVNjCYm0RQTNcYW7GgsKDakqEgRpUjvvdeD/3z23fd4nMf1+93v8C282/d7b8vM7OzuvNnZWS7y9+rVK5SdlZUVBKKHHnoo1Mk7pWfiwPaFSYNLzxVT9jc1qL0mz90atiof0yfDHrqkoZ09pLa1bBRpqRBqqrmAQVD6otAL+upC+8BOmytdY3Niv1peV3YQlCivMgbwQjPF1u21G9ym5cW19sJYt5FyYcWRdvue7WFHGvyGYK4geuh3EicUSCiQUKCoFEiWhIpKqULSaeJhQOaeC2FlxYoV9sADDwTX+8cdd1w4E6hDh92NbCmafEUJKj+envKaNWtmzz//fPCGy1JRly5dcuFgCQr1PEISk4fyEuu+KHXvjWkQJCD95LnZdvqgWnbigFrWuB5LFzm+U9ygBW+2tGdJ6KV80I77mm7Dwq4hNDocsMiEj0BEfc4F/Kk0AXoAO9qizVt32mj3OVMno6r1bFvVtrhGb8OGyLOtbKtKQr9KQ4wE0IQCCQXKnQKJwFJGJNZgzKTEhbCCz5NHHnkkaEB69OgRPNTK7T7VKg9xcQLpNREqRkhB9Y7QgkZn0KBBwdU/S0HYrwCPjG0Fo2AoTt17W1pIDz3bN6sWDGqjpZoISwQVljjUTiXBPd5W5GeCr+n2H91bV7eZS7L92haEFoQVtWVJ6qmoPMIvLJU5EJ/4OUzL3Fvwvk03uyCz041t6+/mKK4y4lhRtE3qTSiQUGB3CiQCy+70KNEvBmEF7hEOWIZ55plngkaFHRI3u0NhfK4oaBIs6QCuiUIxqneEFhx0sXNowYIFNnjw4KBRYaeGdmkoveoXPN/UGDoQmHAJUVtGmqeStk0oKPZnN5r7c1+ts7q1XBPRprrNWJRt81b6gYDVg+RUqYUW/M4gkE1ftMPmr9ph/TtWt8aNsgIl6CKiteIYiZLbhAIJBRIKFEqBRGAplEQFJ9CkFk10u7zNvvvuu8Ht/urVq8Ppy+eee27YLUE6BJr4JFZwDXt+SxnxwZ/dP9i0sHPoxRdfDBoeNDraGUQseOP59lzD3v9G9FD7RTRFS7Zrgi0LKlCu6kJGovwG7sq/9z41bPpCF1pW+GGUvgspnq4s6k1VGYI74m2z+Sur2Kdzq9rgfTPdF43zuwOCWK90xElIKJBQIKFAcSiQCCzFoVY+aeMDMIM1YcqUKUFYmTRpkl166aV2xRVXhOUYduvEd/GUxaCtSVCgNWjQIGhaxowZY6+99loQVg477LDc3UHUGYdZ+b6psdpAdInosLsgWFa0idOde4xWg9DSroZ96R525y/33UOVXmiJhBLkkVVujIuvlk5+dEHTrGrOd5FdkGyCoKvoX1Y0TspJKJBQYO+lQCKwlKJt9VUuoYHBd86cOfbrX//aXn311bAj6LrrrgsGsQgrEmhIV1YDNeWofsHTokWLYL/CeUMfffSR4fZ/wIABYVdRvO6ygqEUJPzGZRXNaSuWUILQ4tum0bTMWe5Ci2ta8K6rdoVAylMZiIVQQgBm8FvpxxmMmrrF6rqWhTOXOAgSXza8E46VCb8Iu+RvQoGEAhVBgURgKSHV8woJCCOrVq2y+++/P+wIOuKII+yOO+6w9u3bB0EhUpWXnaASB1sDfhymNm3aGN50Oa9o8uTJQevSuXPn4JOF9MlkEadg6u9F/2D34RN4gzpV7ajemWFp6MuFvgXdhRZN6qmHrvQ1Sniu5v3Cdzjbh76DaKM7muvcorrVyYwOgqQW0YE4CQkFEgokFCiIAonAUhB1CngXH2gRRtiN8/jjjwdHbmwpvu2226x///67CSsSKAootkSvNDkAExc+WNgZhGM57FZefvllmz59uh144IFB8yIfLXEcSlRxkqlUFBD9JbRg6HFItwxbuW6HzfAdRMzhXGVtT1MqoIuYWbwIb4IfAtins7YZwlj3NjWCMz6KAjfex3m4iFUkyRIKJBT4hlEgEVhK0OAaXBWz3MPOnBtuuCEY1l5//fV20kknhUFYmhXSMoiXR9g18UWOztihxG4hjHD79u1rK1euDO77Fy9eHHYOYecSF1rKA6akzKJRYFfbIZn45O2nQh/SI9M1YWafzdkalk9q+Gwf+WopH/4pGqQlSyX8kLw4kmCuL3lx0nOLBtV9KzlODP1EZ8dV2qTy7CclwyDJlVAgoUC6UCARWIrZEhpQJawwILMjiLOBOD35mmuusR/84Ae5HmURWJSnmFUVOXm8fO7x/8JBi/hlad68ee6ZQ+wcwoEcByVmZmbmCi1UBB5JqBgKaFKXpsHPXLT+nWoG7cOsZdnhXKOa7tPERd7QTvH2rhiIi1er8HMbYxdaqtqaDZGTOXYNdXShhWccfUAQDbhPeBIqJCGhQEIBUSARWESJIsSaKIgJDKjsBLrpppvCWUEXXXSRXX311cF2hDTsCFKeIhRf4iTUIU0OggoCCwEbFmBo3Lix7bvvvjZu3Dh75ZVXgk+WgQMH5u5YSoVQVWLkviEZNakT+wpJ0Kwc0LGmtWhY1WYv3W4rN2VajSpbnOminWiRfFl5hEzw4opOe65iCGXjZ24LRsZN61e1lg19e5QHDHLxiROnxzeEBRI0EwokFCiEAonAUgiB9FqCB7GuuXPnBsdwCAGnnnqqXXvttdaqVauguUAIIDDwpjLgJA77FQ45ZEkomiR2WOvWrcM1atSoYIjbsWPH4LNFsCVCiyhRcTFtteuKHMx1bF4t2Hy88/5Yq9qgq+3YvjlHC0HaioO1pDUHfkSYd6GEYwqmzt9uk+Zs845i1rVlDd/W7ecQubYF1BJtS0mpnORLKLB3UiCaVfdO3MoMq/yEFbQYf/vb34IrfJZY2L7coUOHXGFFE0+ZAbGHgiQ88ZoDDtGwUDfGtmhXBAfvjj/++KAN4jl2NvhqkRYojuMeqkoep4ACtIPCzp2ubrCqNmHUf2zSM5faF6/dZhm+zLdp87bg9j6eVnkqQyyhBW1KQ98dtWj1Dnv4jQ12x3PrbNaS7eFsIqgQnfO0S9tSGXBLYEwokFCg/CiQaFiKQFsGWE0OxFz/+Mc/whZmbETuvvtuY4lFIZXaCmAjELNTCQ1LjRo1wrIP7vqBVWlIh/t+hBeMhKdNm2Y4lWPJSEG4xvPoXRKXPwVEf9oNYRJ/PpdfcZWtXL7Qbv3xt+2kow/0nTbbbKFP8nXZHuwze942Ln8oS1+D+As/NDU5lsBPeZ7mO4g+c20LB2N3b13D+daFcBD0WM7mlK/0ECQlJBRIKFDZKJAILIW0GJOBAjtruDBevfXWW4M2AydxJ5xwQhAK4hNHKgZWwUZd7FRC66NTmVkSIvBOF+kxxO3evbstX7484LFw4UIbMmRI8MQrmBUL7yRODQXUnsQIvePHj7eLL77YnRHOttvvuMuuvPJK69CsqvXrlFoTpJQAACAASURBVBkMV/GOW8uXVZjRyVMZ2w2YtQMqw3FZsibbJs/bZnPd2Lhnu5rBZwuaGIKWiCojnhEGyd+EAgkFSkOBRGApgHrxSQBBhS/eDz/80G655RabP39+sFm54IILcs8IYiDVVUCxZfaKugQj2hUEFiY6DjpEy6KJT2lIDx4Y4/bp0yf4ZkHTgsZl2LBhIa+AI20SUkcBtZHabNmyZcb5UxMnTgzLjT++6ioXNjO9TS34MBnQuabVdFUEGgkmdO4RrVVO6iAvfU3iNZQpmS60bHVHc5xkPXra1uC/Bb8tsCM7iaoEo+PoI0L5Sg9BUkJCgYQClYECicCyh1bSwE8sYQWPsXivff/998OX71U+idStWze8p5hULgUBlwL3CCsILRjaythW7xnYhQ/34NOoUSPr1q2bvffeezZy5MhgpIumhaCykwlBFCzfWG0juqP9uvDCC+3tt9+2//u//wtOCBs2bJjbhjR9pvs0wZ3//h388MTF7tJ/JYcn7m7vUdnaD6EEbQuaFIxyl63NDga54/w8IgxyG9fbtesuztPl2zpJ6QkFEgqkCwWq+CC5a+ZLF6jSBA5Iw8XgyI4gln/+9a9/2SmnnGJ33XWXderUKVdY0eSgOBUoIHhQH4a2a9asCZqSrKysILAI7jg8ekY+Au9ef/11O/vsswMeDzzwgH33u9/NxZk0ysN9EsqeAqIvMRdC7/nnnx/47Nhjj7WHH37Y2rZtm8tnvCeEiT1HCbZu00575ZPN9ugo3yG2ZYfvtOE08AhWlR/9qhx/BTMosGMIO5eGfrL10X0y7aIja4fziJxUgX+VlpgQ5/fwIPmTUCChwF5DgUTDkqcp4wOg7vEa+5e//MUeeuih4N6eJaFevXqFCYbsDJK68hRXLj81OKtutjFzsTMIjQ9LV3oXBwAYhZOec4wAX+8jRoywsWPH2qBBg8IEqTryy6O8SVw6CqgtJEAijODH569//au1b98+CCv4z9F72kIhMkKNfmH70bNtDRvYpaYtXrXDd91s9zwI2rsmcNWl/OkcC09gRtPCgYkbt+60z+dvs5GTtljrRtWsTeNdBuURr0Z90EVs5/FdeKcznglsCQUSChSPAonAEqOXBnVi3TNZoFW58847gx8TtCzsrCEoTaonddXHBIeRLTuDsENBWMGDLXApaPCP/+aZyuA5whdaGs4cmjp1qg0dOjQsGcXxU/4kLhsKiLbE8Bht+fvf/97uvffecLr2U089Fc6iUjq1mWI996k5AMTzxn7q85GuhciqXc0NV32L+zbnY3+LcMN7JnOlD5nS/A8wC8/ImZzZ2k077O3JW22OO9PDtqW275QCNaUFv1330fM0RzMBL6FAQoEiUiARWHIIpYGRWPcMfGgeOCOI83luvvlmO+OMM3IHRCYZDY7EqQjARlB9wIX9CtoVjG3lV0Ww5QdTHD/eY6CL0MLRAggtGBQjlGGcy2Saahzzg3lveib6E7O7i+3nbJPHYzLt+ac//ckOP/zwr7Wl8kELtUn8nmdwYTefyL/VN9MWubZl8eps2+JGrLANtiFRqDyCyy488QDsVw4O+Gt5+WP3/OuhU/Pq7rsFmkQXuAZa+IM4zSLcy+avyiUmCE7iJCQUSChQPhRIBBana3zw0T0DD67sf/WrX9mMGTPs5z//ueF6n8ldX8Txwap8mufrpWpgRCBhspN2hW3MCCyCn5x7GjxVhtKAD8IJByV+8cUXQWjh2VDXtMiXC/XFy/46ZKl/InjUDnEIhOOeaBBPm8r7OMwSVth5Bp8tWLDA/v73v9vpp5+ey2dx+OP3wMxvrniZ/GY5qHZGVRvaKyMsnSz10583bN5hG7e4jYzPp0z8BOULP9L4T4Sn4I3wDoKLHxTJTqK3p2xxfKtYi6xqxvIY6LHjiEBeQklwjefhXuXE73mmNsj7Xu/0XLDwOwkJBRIKFJ8C33iBRYMSsQYiJufp06cHI1t2anCYIbYFGLRKWIHU0UAaDYjFJ33xcwg+1c3X+Pr168OXuGxXNHiCQ0FBsMfLxJala9eu4TDHN998MywvHXjggaGYeHruUx2AU7hRN791CbZ4jDAg3BQrP3FFBOAQDCzhIfx+8sknYcfZ559/HrwPY/TMLi9CHJ+CYNY7lc1kTl0Y5nZoXsOOPyDTmvgOm4Wrsm2zKyU2bN0RtguzzMI0LLhCpWn8J8JzlwCCsznc+29yQeydqVts6oJt1qB2VV8Sqxp2UdHMbPkmh2gjWhWEpviFNIGOLrwT6FPkL+oVz6s8lYXWAeHkT0KBNKNAme0SUkck1gWu3Mdj7jVoqBMrVhkhQwr/xOFlUFq0aFHYvswOjRNPPDHcM5EzCWrQSiF4u1WFwAS9gBljYC4mOISpuJAiGu+WeQ8/4viT5KWXXrLvf//7QbuCTcV5550XbGRYblLdxSl/D9UW+lj8QEwAd4KMisOPYvxBSFD7pRKPOIjgIs0KTvsuv/zy4HWYLfKc+M12c7VxSWEU3ag322kG+apXq2pbXFAZPnaTveMaia/cz8kmN2StW8snYU+HRiKeLw5zOt8LZjRH231H0YZtrhnsnmlnD65tnMNUx21cCPhwQYYviKYqi1hXnNfQZq5Zs9aX7dyjtBu5Yz/GB8MOHxfqe/9DG1m7Vu2wPFu/fr1gUyba0ebUrUt16X0SJxRIKFA4BUolsKjTqXMz0HLPl2NxAp2ZvEwmmlBUdnHKKW5a6iAopm4GILb3/uY3vwlLJHK7HxdWUgFbfrhQLxdwol1ZvXp1oBvCCktCDIaiY375C3qmskkDrv/85z+NSbRDhw7hzKSDDjooZUJLnL7gw8VkoLB16zZbtHiRrVq1yra4ymDevLm2YsUKvQ706dmzl9WoWcMaZDWwrAZZ1qxp09z3lCc6FjSB5WYogxvhBG2ZBNmGfsUVV9i///1vO/nkk4PBbfv27QOuVEcbK09Jq4/n3+6qBnBFq7Ju4w574oON9uGXbrzqHmXZNoybf0JlFVy8F7vghY2L7yjyrd3gemyfmnZM31ruw8UFCV8iI832bE6DDqh+7Y/6D3SToLJy5UpDsJw/f4F9+MH7NnnyJFu8eLE/W2C8q+UCSlV3Zrdh43rLqp9lrfyQ0RYtWlj3Hj1s8OBDrN0+7YIRtfiP9qcetS9A8DsJCQUSChROgRILLBoM6YBMAHEhhWdfffVV6Oh47FzrXyUbN2zywXCHZWRmWL269axR40ahY+/jHZqlCAW+ggkMGHRk1aP3ZR0DuwYM6n788cftl7/8ZdBYoF1AwwI+DDCpgGdP+EGHOC0wtGXSY1dQ/fr1A/3jaYTTnsqLP1e58fwIbrfddls4JwkDXLZ142gOGqlt4mWUxT31E0Rn6C5Bha9Z7GtmzZrt3l8/s7FjPrKZblu0aPFCq1W7rtWtV5/5yDNHmpglC+eHNuzYqbN16dLVDujXz3r37mMdO3YIJ2pTD7hQlyYn0YF3ZRlULvXBR9D2Zjfgvu+++8I2cgxuOS4BfIFHbae4NLDsTlO0EC78uVdcyp63Yru9NH6zjXfHbF/6OT6Eeq5xQVvBUko8b2lgSG1e7HQiAWC92+3UcFyP7ZthQ3tmWu921X2paJfggnCjtMBI+4jflixZYpPcUeTzzw2399254gI3RG+zj/NOGx+vmjSzBg0bOd94eQgsXtDGDet8HNxpa1avtFXLl9pi5785s2ZY0yZNbdDBg+3b3/62819va9OmTSBHvB+JP1JLp6S2hAKVjwLFFljUuZjo6XScTUNgAn333Xft008m2ALvrOs3rbP1G9e591VXnWa7+/Bs9w3hE0r1qtWsmn8tZ9TI8C2JdaxenfpW368++/exwUMG+4TSMZRH2QyqTCblMXCqzFCZ/wEfnKihomdCwdcK3kYZwIBDX0RlMYmozuLGwAgcTN4IK2xFxlgWY1ueS/gqCYxqV9GFMviSxHbnySeftDPPPDNoAfh61GAL/CWpKz+8VT/vmLgJtD14fvrpBHvv/ffsf6+OsNmzZ1njpi2sfaeu1rJ1W8tyYbdxs5ZBaGGeimSenbZ4/tzgm2bpovm2YO4smzZ1SlgWOeroY2zggYPsoIMG2X777RfqgZ5q5zgc4WUp/6g82kbX/fffH4y4OYiSLfP9XJiKCytlRdM46PF2hUYILjXcMy4S3izfIjxy8mabOHubu/rfHpy11XONCxO6BJfygCkOX1nei+ZoUhAi1m52DZJ7Bj6qd4YdtG+G9WlfIwhmSLjbnNVcl+XpsoPQj6buzbfesjd8LHj9tRHWrGVb69arj3Xt0dtat+tgLdu1t6bNW7vQ0sB5hvIjnnNW9TY0W7NynS1dvMAWzZ9tC+fOtulTJ9mXUyba3K+m2dAjhtmxx34rHIPRqlWr0I/h8XQYW8qS/klZCQXKiwLFElg0EDBh6Utk3tx59swzz9i48WNt47aNLpHssC77drZ9u+9r7Tu0sxatmlujJo18gKiLwtY2b9/kSxlrvFMvtbmz59vM6TNtysSptn6db82tkmlNGzW3c797jqtThwScWfpAKGLAVP2lJYbK0QRP/Omnn4bJecKECSG+9tprc32aMKAQKmrQBt54wEkcy0G0QYMGDXK1W6QTrPH0Rb0XXYhVFsbHl1xySXAT/9Of/jTsZtFxBNSvPEWto6B0lBXXqox0g+cX/ayjt9543da5QDzokGHWc//+QVhp3qqdNWnRyr906wbFisvDQbsiLUsNl6O3bDJbsXSRTx5zgwAzc9oUG/PeSJs5bar169/fTjn1NDv2mGOsXbt2QQiDdqJfWeClMiSowD8IfzrSAa0V3mzpT9TL+7Lk8/xoDUwE6mEyZzlIgstSdzj37tStNm7mtqB12ex+XOpmRstIpN3hRq5VfGdOROhQTFr/Ef0RXMBzrXsExih3YGd3sudnMR3SPcPq146ENhAZN+5jFyD/ac8Nf9aFkpZ2+LEnWr+DDrN9OnWzVu0QMNzz7patHm+1bG+zQMtImYPsE2jKx1h1XxKv4QyYWcuF/vnLbM7ML+yTMe/bqNdftlkzvrSTTznNzj//fB/jDg7003gqeNOaqAlwCQUqkAJFEljiHQkBAp8fGzdusAcf/LONGvW2Va9T1foO6GODhhxovfvuZ7UyatnGzRttm2sAtnovz/bPmGz/ggmd2gfm6u66skYN953ggghLGhlVM2zazOn20QdjbPR7Y2zp/OXWsmlru/aXv8hVlUMjaVsYbEsahEsYbLwQYtzuMxljbMpAwknMzZo18wE90miUpr6Swpk3n2BhcMPQFgNANCssBzHZ8V5wKs5bRlF+iz6Uxz00Z9stW7pnzZoVlokuvfTSXCGytG2idgA2cGNpEaPnRx99LKjjUc0fdcKp1n/w4dapWy9r2aa941sl2PBsh7c8TwiBJzSZ7hK4qlf3yaNmhvNsNReKN9qMLybZ1M8+ttdfeDqo7Iccepid40cTcOI2sIA3OBFEi/CjmH+Ul1hC2BtvvBGMmdFGPvjgg+GcIN6nSliJo0C9ITjddvpkvt01BTWDmVAVW7Eu2ya4tuVd33kz2u1cmOjrueDCjhwnT6WycxGe9IlIcImcz9XxbdD9O1a3Id3rWMcGy23cO8/Z3/7xqM2Zt8SOOel0G3rMCdbzgAN9fKrldlKb/NoctZPzXtS/dgmX0JFnqmunL31zDy/VhPe8DHh76mfj7MORr9mI4f+x5s2b23fOPc81l/8XlsQToSVix+RvQoGCKFCowELHU2dkCQJhZdSoUXbrLbdaRn3fMnnqMXboEUOsdds2YSLd5LYqCCdhEMaggP9hMomB4WOlTymhUzNYYtuC0Wi9rHo+eO6w90Z+YG+/Mco+HT3Jjj36WLvxphtDZlT3TGgaGL5WbqyKgm7JrwsbGwxscdZ15JFHBpsNVPVMMppIRIOCyiyvd8KVGHgQGDH2A3e0K7QHQe/LAo54nSr3xRdfDEaiHLDI7qnTTjstVzMAXKQrbnvE86htP/jgAz8C4WEb+ebr1nfgwXbimd9zrcpA16a0cI3JZl8G8325fM16naqPWGUpFk38hfMX7Y3wWc1tXeqFQyLnTP/StS2v29P//ItraRq6Q8AzHb/LgxAo4U/lF5emgoGYC/qguTvrrLOCcMwBmj/84Q8D/NShS/mKW19p0lMnARgiLQo7isITW+vGuVPdHf7o6Zvso2nbbMYSs/qZO3PsQKLlotAYdPI0D3E8Jbis25jtS9LVrHV93xL94bNWa+NkO/uMYdZ/yFFWs04j2+SC5c6d0ThQXB5XWwbB38c0+LV2nbq20Zebx30w0p75159t+ueT7OzvnGdXXvnDYNuiPqC8aU7SBLyEAimnQIF+WNRxmLy5R1i455677S8P/cWOOOEQu/iqC+3gQwaFgY4limw3wa/iXyB8oTIA0sk1GO8pJi0XdWzwZSGWO/bt0dWGHDbYamdl2gvDX7A3//eWDR16mG8TrJe77kt5gq+oVCM9gZiBBAGM84H+/Oc/B0+vGJkecMAB4b1gL24dRYWlqOnieAILmhWEBgQV2a7EYSR9aYPaKl4O27rZPv3KK6/Y+PHjg9t4llKomxCHM56voHvloe3hrSeeeMLtZO63yZM+s3MuvNLO9Ktn34FBxb5pw8YgeNAuVXM0IHE4uScojt/zTFoTvpZ3uGFGq3b7WMd9e1n3Xvvb1MkTbNQ7b7lR75fBCJYlL+EVL4f7woLaQvmpe/bs2cEeCqHlyiuvtJ/97GcBX97pUr7Cyi/r97vXjxFqpEHx7uGa0qrueK6a7dtsm3VsuMH2a1fTvKVspnuZ3eLLRZwOza4jhYrCQfUXFAtP0iCY8ZudQ9nOCys21bLazfe3em0HWrXGfb1v1bCsmpss09/v2MnlOIb/tBdCKHFBte3iQ+qBZwlbvd+yXNSpW0+3i9nfBfCNNuKF/9qCRYuNj6TGjRvnjm/pTMuCMU/eJhQoPwrsUWBRh2EyISCIfO9759sHY961q667wk4769SwbZQdQKQNNi106pyerLgg0JVGdUnQ2eiTEyrSnr172GFHH2pTpkyxhx78qw0cODCoUoGJvMpfUB16pzqIFf7zn//Yb3/72zB53H777UHDwjuVrTxKXxGx4GXQ4wsMg2ACxray7eG3YOa+LEJe3GmbHr5VE4GJpbNp06bZoYceGgZZwVjc9gBO2hLeQcP15z//ybcnL7cf33CXDTvxdDeubWabvT6fInKFFPIUB9e8adGy8GyLC8bYG7Rp39n6DDjY5sz4wj58f5SfpfRFwAthUHXlpUV4sYc/lE165aG90Ky8//77dn7OciPb0FW20hNXZKB+XQ68C3hM1Dvdd8s2p9V6a1Z/p+3fua4N6FLXhnSrac2yqoZdRst9+YidNtjBBFxykBD+FYnTnuoWrRFc6Fc1qjLG7bTNO2vZrEWbbcZCdk35RoLNZq0aVQkGuggpCDeY6CK0BFydPiprT3XxXLSgLox7t7mWsEmL1tajTz/XuKyzV18cbstXrHQ3Cn2C1pQ+QVrlK6js5F1CgW8SBfIVWNRRJKywZHPyiSfbgmVz7M4HbrP9+/UJW5XRqEjIUJ6SEI9OrwGA/Poa3rxpi9Wr7wPk4Qf7jpVF9vvfPmAD+w8Mfg2ktid9YYOGYCPmIrz22mvBVgUbCTQrbDuUEWm6DBaCV7RBs6JTmZlQoZPSgFNhdCBNUYPqVJnQG61Onz59wnZ1NC0sTSG0oHkRXSlfefZUF2lJI5uVxx57zLV2D7m9QB27+Jpf2cFHfCvgxvJPFfT3OUsO5Cms7D3VyfN4XrQ0wLF9+zZr2KipHXDQobbJJ48P3h1pn302MeDFMmXefOFBAX/i7UFb4WvlBTccHjx4cFhKw3YBWsJjCnG49CwdYkQobDfWuM1U9Rq1fCdWvTB5t2xY3bUt1e2Qbhm+VbhmsHGZvcwPW9zO6cref/3jhn8E8UU64ghMAb6c2PUtQWu0aWsVW7rGbduW7rRPZ2XbwpW+DOb2PU3d9X/16mhn49pdeBk8d+evgHzOH+FOXaHdPQP2fbVdk9ejT3/bsHa1/e+V52z12vXev3oHzanSEit/vMzkPqHAN5ECXxNY1EE0qKJZOeO0M2zZmsX2wN9+Z233aWMb1m8InUgTO4Qri05FGVyCgfJZtkFgYumJLa4P/O4PduSwI32SiTyCFgQD5Qg27iXkoLHh7BZ2BmFsy1ZmJifeK5QFPiqrJLFoQAyOCI98rROzZCHtitKVB7zxtuCeujHyZTvwxIkTg6YF2PDTIuGpoPaADoJXwsqrr75qf/jDH2y1O4G76sZ7bMCQw0M91IU2JNir5PBFSeiYX57d8arqQstWq1O3vvXud1DYjjruow9cQHbjS99BBLzxsCc6K53wgw4cZshOoP6+IwlfKx06dAi48Y5AWXsqL15nKu+FB3XSBhgI0y8QkDPdhxJaF9oEz7n1fccN3mQP3jfDjuyd6ccAVLfVG3bYotU7LBu+9Yl8dxyh5S5BJh1wFwwh9vYAPoy68d+C59w1vvFxwcod9vm8bJs418/ucq1Lw7pVLMs3GkArFydycCL+Oq+IH/zlbmMb9UFfDHJ7HTAw+G559j+PWYeOHYPDStITSBcvI3qa/E0o8M2kwG4CizoGMYGB9Rc/+4VNnv6Z3ffQvdaidQt3kLQxPI93pNDZy5B+Kg84gIEBc9u27XbwYYPc4+RC+9c/HrOjjjwqLIsIZuWJg8EzLtIo3bx584JmhYnynHPOseuuuy5Y6UtYUZ54ORVxL7iJCRjbMnmgBdK5QYJLE6B+l2WcFw7o1NS9xuJEDuNrfNew9j5gwIDQVqKz4I7DoncM1Ag4OBe8yw2eia/yZaCBQViJ/JUov+J4OWVxL7woC/qx3FYzI9O6u5r+i4mf2IRPxrk2a7MdfPDBYWIB3j3BIrxUFunuvPPOYMyNYTRCC/QhndpK9e+pzLLAsbhlCA/BiUZv7dq1QThmCRIaOBK57Uz5sGdGjarWqG5V69aqug3bL8OXjDLc/qWKLV/rW4ndsJXycuSUABI47473LkGmuDCXX/pIsxGc7HklW3xL85oNO23W4h02bka2zVjkwobvmmpYD+EmgkJ47Y4buEbv4/RVmmz3UVWnXgP399LaFs37yl56frj75Rlgbdu2zf3AUtrywzUpOaFA5aDAbgILHYNOpS12zzz9tD313//Yr+66zrp27xJ8pbC2rXTl3ZFUjwb5zT6BDDv2cN9B8raNGz0+OGAKtjMxWgumMEjmPNf90qVLg80KSxBDhgwJhxt26tQpGlA9LXmVP1ZkhdwCMxe4EyOsMKmiCeLSc8GruDyApWzBQvncY3DboUMHGzFihI0cOTIYLe+77765vCE44nBxj8BDfiY/jj14843X7azvX25HnniG543W+EmnS+WUR6w6hBvODdnJse9+B9j7b75i06d9GbQjLVu2zJ08SEs+Bf0mJvAOv0R4S8aQGNf7hx9++G74kEb5VE46xHG4aCeWtNBwsuSHhiV/mKGFPnAiW5am9atZ/0417aT+teygrhnBs+7K9TvD2UWkdNMRL2sXxnF68jT/enalT81d1MaCBa0Ll5MlCC8rXBibODvbPvoyOywfufLJfdawHBZBR1r+WTDSFcTwte53jTdb3WFQazcChygTxo32nWRzwviEkEj9CnnppOdJnFDgm0KBXIFFHZOBCiGAZZM77rrDzvjuqXb08cNs1crVYZKJD2qpIFLe+tA0HDpssN3w85vctX8r299tKgjAL8FGuOg5ZZAPtTzLD507d7a77vIvejfiVSBN3rr0LtWxBingISCo4HuF33E3/IJZ6coTTtVBDHxcCCgIT9izjB492o444ohgFA0cvFd76Dd5tRQ0fPhw+5efV9S5ey/7ziVX++FxDR3PrbkTO/lVZ3niRdnxethWn9WgoTVv1dbefGV48D1z6qmnBoGFtPnhJHrw7n//+59ddtll4Wwjtsuz/RvBRXUQpxI3YC5KAKZ4QFBh5x+wM3HqwwD445e3dC5uTkkvIvpNGrQTTd04d5ALLacOyHS/JzX9MMIqtt49z3LwIsa62LG6KZzThHbYNYkLFsFFeRURqDcizS68EEbAFYq5TXJYMho3PdvG+rVq/Y5wUnSmOy50dgjLYtWcDhH89Buw2IVL9Bwj8M3Wze1Z1qxcZi8Nf8p69vIdbH5cg/BWTO4kJBT4plIgV2ChQyCsKL7xxpts9aaVdsPtv7QVy1dUiLCiRgEmBi4mBCz7a9XKtE5dO9kDv/2jffu0b4cvwHiHVnoNdpTz3HPPBTU9AzCO4Y477rhcXClXeeLlqP5Ux4IFuMCBL10ELoxe+drlOUHpUgUzsFBXvD7sWRCmMGJGyB02bFjY6RCnvfJoKYiJkF1Bn0/93K656R7r0LWHb9Xe6OVWXDsIN8XNW7a1me5k7iv3itvUnQjKN49wUTpi+g0aI7wC41/lyy+/DOcEXXzxxcExotqKvMoXGjCN/gi2qI/tCPzGkhACKQILOIofSaug+yiO+AMcFfSeSZ6dRWheTh5Q24b1yrQWDVhmM9vsJyzzHsFli/sBRANDQC4IZ/3E6qsI+lG98FD9eqbn/PZVa5u7bKdrXbbbpzN32Dp3uIezPexhIAnaF35H6EQCD3gGzaInqOb9unbdOjZ35pc22g9a/Na3vpW77B2l80oqMAh34qJecbiVvwJRSKqu5BQIAguMRCBm4B058m177uXhdu1NP7H6DeqHr+L8BqtU4s7AAHzAsdXdY/fav6e9//YHNm/2fBs6dGgYUPSemItAvrfdxfvNN98cdrfccMMNwXaFL0bSaMBR2pCpAv/E4QYMJgoEAp4zcejsprzpUgGy2oC6dA88+K7BWzDLQzjiYwlEO4fifCOBBSd0j7oL9KNOOsMOOfJ457nqQRBl0srbJqnAK46P8MILM4LUdtrmzAAAIABJREFUi0/9KxwLgIALLuIXxeAEL82ZM8fOPfdcGzNmjG///17wtYI2LD7Rq55U4VTUesRLSo8WDNsVcMReStqVwuAXTYh17V72rgmXQxa7tcbmJdNOHegnKrfgfDE0LvTxoKdxQYblFxcIJcA4f8Aju0qJxizVK/jLM47XJV7VM2IELHZJAfesJTvsw6nbbdKcbFu0yj0eu0CDUz5wRHgB38iPjSPo+Th5vE2HzjZ7ugss775lA/zMK85Wo1zRUXWVJ457Klt1ExfnUnnKr99JnFCguBQIAguMRIdAWEEV/OCDf7Ka9aq7avsiW7J8SVALq3MWt4KyTC84iYGz076d7J47fmvnnHVO+BJUh1DnZoKZ7CeuIqwwkfzkJz8J6vr4ejx5dJUlrCUtC1iAXxM92hUuBAOEANpIbSF8S1pXSfKJVoKRCRlBCk3LZ599FpaHeHfIIYfkTnTkIR2wgwsH/k39Yqqdf8XPrEOX7uGATCYiQkXgJDrEcWN3HG7Z16xeYZM+Hutb6VsFPzRM5uBBkLCyfPnycJghAttJJ51kf/zjH61Jkya5kwxpVTb36RaATTxFLANvnQSuNlFcHPiFd5R310cE9fALYQQBBQd12LucNKCWHdChprVsWNXquOM2DFozfWJHSmEZicuzOj1dY+F/gnATyorKBjbqEj7FgbW4aeP0iN+rboQR/NNs3urLRit2+PlM2+29KdE26VW+mwrct7Ec5hXX8lOka9ZwgcYRqunnEE2fOtG+mDrVTjjxpDD+AhtjQkUG4UVf5mDUhQsXBts6NKbxa5Xv+OMji48YtMLwEUH5KxKHpO7KTQH3LhAxEsxEYKvv+E/H2k33XGeLV7mw4mexpBOjMTBw0Wl67NfNunbrbE8+9aRdftnlAc6AhP+hc9OhOBmXM1z4+kVFz1ev8KEc3StfRcZqA8HFbyYPAp1ewgq/SVORQTBCZ9qCXUMY0Z533nnhnBxOo2V5BByAm8md5bixY8faKNd4HXXCt8Ohclu3bA64VDQ+oqX4YYfDm+kC4tBjTw7nDr333nu+jPit3MkQnMEdY+hf/OIXwbgWXyv33ntvrrCistIFN+GYNxacPKedwIk2YzmIEH8fHpTwT5wO4d55Q1o1Jm/q8f/WuWX1cJ0+CA2j2eyl2+yLhX4Wz/ztNsf9vazeuDNsn44m/apWt3amT/QO+/Yt7sXY1Rh0DV9ejAJ9nLvdtak5L8slEp5Uy9Ej/GZZCM/AhBmLsx0XcN1uTbKqWKcW1axzi6rWpL4LyTXXW8f9DnZBvod98Pp/bdnCWX7fM+Rjm7W6PbFGAMovqzYKFe3hj+pgqZDdldih0c/VF5SN33wUMpc8+uijYUyI2jZ1bSBYknjvokCuwALTw2jjx423bTu3ukFqf5s3f37wZqsOWBDqMCRBnUfMrbwRw5JiF9MqrdLwtihBZW92pwhnnX+6/faWB+yKy68IWXnHRIKUzwFzjz/+eDAGveaaa8J5HeBIfSWtuyjwlTQNMKnzgwfCCga3TB5oWCQcpAvswKEA3IMGDQoCIksiCC/77LOPnXLKKQEH4YYn2YUL51svd7nfyD3Zbli3NuClNlV5eWPeE4S70uu30sd/x/PoOXFBQe8Dn3jCVm3bW9eevd1t/9Sw/RrBjDYhHV5/MeJ+6qmnggEy25e7dOkS2pA6SKPyCqqzIt9BI9EJONAgyV4qLrDwrqxxUXkhdjhC03jzYKdGayPEoHjr6MtFHVvUsOMOAAqzaQu3RZdvLZ69aJ19PnOObdhew+o2bmsZtRu7kIA3WfeWvW1z0NBwHpBD7zKMq2u8TMoW/1BeeQbhGPDJEV6qo3nxbd9IHOv9RPHxM7b70hHLRFWseYOd1qXNJqve4Qxr2MPsmTem2Pea7GtNG/gp0JFibzdwWV6KhCIvTjT0FNRb1jgKF/oG4yvLhlwFBXnmFjwFpU3eJRQojALVNVgxGWJ/MGHSBDvtzFPcLbUbQeZatxdWTNRBlArmpDyVDYNzsRaOM7Dtbp3GkMRELEZWZ1AZBcXKQxn9Bh1gi9wL7syZM8N6L/Wy7ICg8te//jVMJD//+c+Dh1a+Hnmv/MWpsyB4yuqd6EV53DNxALN2aeh9OsENTKIn90cffbTdeOONdvXVVxv2Qggtffv2DfjAX+PGjbWOvgzUql17R5KJZHfeCQ/y+RPhHKaaUN8u/tolACsb7s99egqu94GJE51Du+fwZGH0E53JV6t2HTvwkGH2/L//ZpMmTQr8xHu0Rf/0XU7sNsMPDctA7OqgvShfF2kLq09wV0Qch40+inaFZ6jyU4lDHA6vPvALEzj0c7BcePHe7s3vTWhd3d9L11a+fuJh/dpt9rcnZ9hfH33B5u5sZFktulnNus2sUcsu1rh5R7cd2eaGrE18MndBbNO6YDuC/Qg7mCiPQJxzG+qLwxKlKJu/Kpe6dJ4RuGLLUqumw+PP12ysYu9P3uiehQ+wxu7h++1lC2zx82utS+ua1rFZdfc07L5f3OdNk3poZPwcNiS6WIBe7LwCI8ouDyEGPOB/Ymyc8FXUpk2bMF4xpgMDYz3L9r179w7QpXs/iJEwuU1jClSH6RioYKhFixbZ5CkT7XtXnu3ebDd6Z9hlL1EYDuRX4J4yq/knAdJ/DV+cZUkDaRthIiurvg/s0eGD5AGG4jJ0lMfzev5vnXiMvfzyy+FgOToJ22zvu+++oNJGXY8RaHwiKW5dwqs8Y2ASXMR8xYMLeDI4MOFC05LQqjzhzgsPA9X555/vZ/JMDQ7TOOiPwyXRPMydN89mz5plXXvsZ02bt3bj6UhTIbwLgpM0UXDDTFf741K/Zs0M/wJ3wTh3uolS1K5TL9ysX7sm8GD9BlnB4WFR6QdOBLy1ZtaqbV169LZl7sMHl/06wgF+wzkcmi+0SfK1Qj7y56ULz9MtiKaiPzyHkMykg71UReKgNohinwBzJmZglQDDGFK7XiO79LwTbP2iSXannwc2zw11q1XPsFZdBtrgYafZ2cecZU8/92/bmdHQ9ul5iG3YlO27d8xWrNsRlmgotobrmYmZ/LFdEqsRi+siWtGuZdOKwo/SqGd7jvalqvttqZPJuLnZdvDRWL2BfeL+Xj6ctsG2unyPgz52V7Vu5Jfb/TSs41oZPzIAAaZlw2r+rmoQxuJQIhxtdyGGsgP8XiH4lrR943zDURMsu+PioLAQx7mwtMn7hAL5USBoWKR1mD9/gW3YuMG6d+tqi5Ys9YmyemDq/DLmfSYmrlW7lo0f/Yndd8cDNuxbh9slV15oc+fMt+FPvmCfjpvgE8cGd+/f1r578Xd84uoSTngmb3GZmTx0dBzZ9dy/h40eNdp+9KMf2QcffBAcwmEEhvMujCDBj1DSDpoX1/L4HYeNiZV1YiYQJg4EFtGouHQqD1jzlimYojbZGeyE0LJwThPbyW92o2eWS9a7Id6UKZNs6HHftibNmjivbQ4Ch/LnLTf+OyrbJyhfG//fi6/YiOeftLPPv9w1bIN9aWa9TzbVg0aF03A/GfO+vfDUYzZ31gzXkNS2Pv0O9NOff+iCc02fCFzoy+GHePl570N7BI1cNWvcrIXvlmsUBHp46aOPPgoaJGyk0LCcfPLJufwrXICXoDhv+enyG/iAWTzHb7QrCJ7c6z1xRYZ4/Uy6riBx3nG4vY1qZNS2iy+/2jZnVw82RFs2bbB5U99z7cQEG9Ruja0d+7i17NLfvvPDY23V6k223s3ClvrxAWtdcMEnDPfr3eX+Wt+GnO12IgguLL+giYFVEJYQZAiQIVBCcXhW/PErFBb7k8s3/gkWaV9Y//HKXVuI9qVORrQFHMFj0aps3z6d7VvA2UG10x3WVfXDKatZKzdUbumCDL5vmvvvdk0iIaZxPV9SjobA3BqhJ2c/QUt0OyEO94WPk6Fv5PADH1UYnSOwcM9YRaB8+gqxcMutPLlJKFBCCuQKLAxYuEjHvwkHw9Eti8NoYmK6NYZ0W33ZB5V6hntQevrxZ12A+YOX3dHad9zHnnrsWZs4YbL985m/uh1DI18i8s8iD8Wtz3tzyNOzT3f7070PByNbvnbxg4HB5/e///2gZQE3dR7qiQ9+/E6nAKzYEaCJAk6+4AloiAjFoVHIkOI/wAysLVq0sFtuuSW0yRNPPBE8xiI88AWPAFCzVk0XYPwLUn7NC4ETvPmizsiobrPdT8WbLz9nQ31LdLOWR/pAWcs2+ZkvG12Dt9YF1Rt+/AObM3O6HXbU8S60TLdRb4xwwbaGXXjVL2yj28ywu6QwOmqgDTycUcv26djF22WrvfXWW+GMoBkzZti1115rF1xwQWgjpSeuTEHw0mbwHEG76ISH0uh3usQRzb0/+6TeqGGWXXThBbZowTzfhfZomMiXLF9vN97+QNDo9mnSyNo3q2qtXQNR048SoJnWuvEuu45WrHNP0sGZnWte1vjHgg9Hy9fucMPe6MRmtDFM7iwjRQJMJMggwyDcBMNhJ4qavrQCjXhTsStIwlZo/WbnUU3XCtVDyvDgMpZxavai1dm2ddrWIFBl+TlP7LRC84JWhqWkjn7WU0vXzrCk1LaJCzE5RsChkJw/GPaKruFUap7nCDLxdOIJvIez9IvHcBlrk4737JTjo5GxQOmFQ7ys5D6hQFEpEJaEYCa+6BcuWuBbhTu6D4Fo5wbPi8NgPg2EybZBowZ22JGHhFOdF/khcuNHf2yt27ayO39/qx04ZIB9/8xL7a1X37b5c+f7l3ajUEdx64oQ9J7knbVFq+bB+IsJEjfxeCb98Y9/HGwLEABQcad7iOOPZgW40a6wRlxZA1ud77nnHrv00kvtZm+bfm7L0qFTZ8vwZZZtPlHAW3G8C8NT6evUqx+0KZs3b7L/PvZfe2PECzbokMPt2FP+z6b5dtB5X820E08/x267/2820c8EOv+0I+3DUW/Y9y6/psh1UhemAMBXw7eZtmzT1mZPmxy0d2jxzjrrrHBwJvZFWm4EfuFDnM4h4Oc8phhhBb5j6RbtCiGvoF9cfCibIJoUN39h6VW+6mDHCkuQaFfZwUJYu2ala3XX2jLXAmz1DUSbXDDZ7D5SCAggWb6k0qS+CyAOKhoVzgza6u/RtmxwrQuCClqY9f575bpoa/VyF3Bc1rZ1mxFqXFPh6SXMqBwEGwk0Ycb3+sQS4gx+Q6Fdv/c83u6Oa5QHWxWECkqJdiFxPEBEc4xx5y7PtplLtrtDu8iupVn9qn72UTXX1mAH416I/R5hpo1rZTq3ZFmpWjjQ0gvMN0San+iV+JsPkHfeeSdc+WW66KKLiiWwiFeIVYdwJ9b7/OpKnu39FAgjE4zAgLV02VLr3q+rCx27DAeLQwKYCbX74kVL7O8PPmJbXQjqN6iv/fTGq8PAiHalui8zrV0dWZbX8u2IpQ07vcOy9bpuvTr2+GOPh50ql1xySfhKRPqvDMJKnAZMfljeMxCgml+wYEFoG3XaeNp0vtdgg4bo7LPPtj+4UeoHH35oHTp08MHdBcidKKL3PEDvCbednm+bq57RfPzx7ptt9coVIenIV18IBrJ9+g+yf730jjX3YxsymHxxSuc0rVO3ngse7mfIJ59oSN9TDbueY7AYgmfgxPCPx38cNIe428dbclZWVhD01TZo8VauXBmWjpj8CXoXfqTRH7UPICGYcBI6vAdOOMHT+5LAT17ysYtq9uzZubZY5Yk+dQpmeIzdXHgeBjc0ltmuhYkEiF1bqUmPd11/nSs0sMzE8k8jP9SwSZaEDmjkwoovJW1zDcRGF7ZxyY/gQ8xvDkZc59dqF2zWuGZmjWtveL98TbRsg3t+VmUQZLyKXAEJoRh+lP1MnEbAzgUt82sHyolCxKcRDaIn1FXLjXlru4KWD0n+b9tRzf3BZAftE8IbuTJdy5LpS06NXYCp7X5vXPHpS0rVfEmpqrVyQWafptXdTsY1U43YrBCVHf9LndinHXnkkYH348JuM/cQzUGphD3hoLLUdqQT3ioLviQwlvOetPnRQ2Ul8d5LgehTyvFj/XHd+rXWomUzX6KJBJbioo3wACPBYKtWrAoXWyP369vTmcyN23x984arb7ZPxk6wwUMP9tOf/VA5f1EaBgyM7h2pdt3aoV7wePjhh8M98FcGxhb+xNCOyQ646bhMJAz8TIaVLQC/BEbcjtM2G10wDm0SxtB8RsAiIBkEHk+3b8/97fs//Kl99eXndvdNP3Wt3Qt22NHHWxs/mHG7f1V+5RPWzy47N2gNDjp0mE8Kbpfh+YrMEzltkOFLQrVrZ3n/cFsZ1z6MHz8+CGHgEy+Le54hbFaGkJfvgFmThN6VBg94WUubZVFeUWChHnBAY6yJDiGsu29Nhx93ehsR1G7hl/8RfMT+Pzh0M+ZJv494BmHDd0+54FHbtRgUIwGE9AgAaDKIdc9SzWYXZvi3bHUk4KzyQyA3bPGjD1zQWbTSP7a8vM2ej8MUsUkJRxEAoBdaw43KMzlV0YXl7UzaAZAIJpLkhgA/HwABm9zHIT15PIBX1fXu06Vdm+jeEUALg8fh1o19Z6XDSfqNW3a6PYwLK27QW9O/K9b4adtNXQuTQ7aoMP+r8ah169bhQFmMzqG5+jsJuZeGGHqL5rmFxG70LsDpYwXl45yOZSZ2IPHxxjsCablXnlgxye1eToFcgQU8ly1d5ss0C4IWZKd/IRQ3IMmL4WAmBg4GibWr1/kR6nXs1mtvt38+9Hi4/8kNP/ZD5ur713LpvkSr+Bc3dTXwnSANGjYIhp7z3X8MobIwtDofcRhUGVy8wyLssf7LtlmeVxZ8xDfgQ2DgYnmLEHafsPuMH3nGVx4VFrypadiQjGWfk04/1j4b38n++sBv/AyWabZpvTs98/LnzZlll3/nJJvv8bDjTrZvn3uhe9/0XUM5X2mF1ZP73qtim7Q3h9WvV9ftu2oEI0M0X7RHvE1oI9btOck6bnwYT5Nbbprc0EZoIIihDReB36WBm/xMVnx9s8wEbTTJlRfq1MlFoD7GATxdE5o2bxnh5ONFfkG45saeiKKqVKW8aFyLyo+0LVEtJAqvg6BR3bUV2Jy6cibiDX+FVgc+79jc83mBbtoXth1jl8JSEvXpOc8I2ORUr5lpn4weaf999hVr1KytdXejVnzhAYMMgKncf4Wty3WqbbCMqpu8LHgyKkd/RZe2PZr4cnkPLz8qA/wQmNCwUJbnDCVi28LyGNonlp2wlwlwki+nbNGJMQqBgrbG9knP89bNc7WN7gVXPC38R5vhlRzP2QidOPv83e9+F4zblSdvPSojifduCuwmsNT37cbNWzQN6vaSor0bMzr7M3DUrV/P7rn1t75M9C9r5uXf9/A9dsCAPuFLFAYsDfPRZXd4r6pZI8Ou/vHVNmDggDAAl/fgWFL65M0Xxx/NClu/eUbn59L5QfF0ectIx9+Cl5ivbFx142DtozFjw7AYhkZ/p3RFxYEBkzwEDo1btdJtfXywZHfQNp94q/r2juXLltilZx5v8+fNsm+5XctN9/wph8ci/0BFrcsrCpMDW6jXu/aRM5Ouv+FGP4agV+BrTe7x8niGoF4ano6XVx73oh9l81WMFo+AYBzfkRYeluIPNGBJMFW0EC8xyfFlji3Lm2++GfwxsTzNWMHEXNQQTc7RDJ0XhzDF5/AH9UZXVHK0gBHdq7ZIc+L0cIGGvJRdpXZO2YgK0W3IxE6l2nVq2oQNc2zrglH27VOvdI3esPBOOEal7/rrTg9cOMI9RVT2rjf0l+gXGpsavtso/yAAFGPjE12kj+r9ek6E3YKWP0W3ONy61zuVSrvx7IEHHrDXX389GLTjwwm7pO9+97vhcFWEI+YUQt78KieJ914K5AosrPU3qN/AjdK2+CAdOVcrCdpiRvKyq6N+7fr2wEMP2iN/fiww/S9u+an1O7CvLVm81OrV9y9WPl09xPOFB0X8A9PCwFt8gfn444+3/XrvV8Sc6ZcMYQX7FQkqok36QVp0iFjOAi/aCGPVnR+NCSMqmjFCcQedOJ+g+WCkxxkhX4eUtd2XZG66+pIgrHTet6f93AXlrS4IslRTr35WkQc76qFs5jfKJjD5ovHC98TeEqAZuPIVKy1YZccNIYxJtEGDBrb//n0COvPnzAxjDUtCcR4qDa7iXcX5lRVxTiTQ8F7CQ35p9Szbl4Zq+LLTkiXLXcuBjUhX/3Bxy+AyCIGvS1CO+ISslCGhAS0W9it5BV0EdwQQXE3gxh8hXnVTFh8xf//73+2hhx4KGssrr7wypCUPHzfHHHOM/epXv7IOHTrYqFGj7L///a9hk8gSlGApiO4lQDHJUgkoEAQWGCkzI9MaNmxoixcuduZylb0/4yoqU8TTi5nxkbJo6SJ76dkR4YRl6PGTS3/hdgW/DMz8tyf/ZEOPOtQ1ItnFqitOV+CjvqW+nNWqdavdOkU8Xbrei8Z8qTDQEvSFzjtCUdsgJK7gP8KHWJoV8GKZpEePnjb3q9/YiqXOY27cB3pKXxjYpFNajGgJ+k28bZufMOcq63EfvuuneP8vvJ/x5RQ7ul/HMHnt13eA/eWJl8IOJdLnpx0JmXL+QHN8tiAMbfY90wvmfGVNGzUOWgjyw3OVUaAEdgUmdTQRTBKaUHhfmfgNXOI4YT+E23jah2WKffZp7+932LIli3w5z4e7nW5D5bZMqQ0I00Wv0bnL+bOKrV6xJBiYt2wZLWdRQmnbJ/B1CdtYdRPzAUBg3ELA2FPADoU0CDS0CfXDc7icePrpp3P70PXXX28fulE+B6Ny/hBpsVtZsWKFTZgwIRTPcmtp4N8TjMnzykOBXD8sOHxr6TsrPp85Kez0gWEYxIoaNMjBzDU8Xz1fBmrsvg+WLF5mW/i6zarnKsuqOcs1CBnuoMoNyjx5qQfIdW63sGb1mjCZ0DmYjICjMgTByUDLxVd8XvsHpakM+GhAYUBDs0KMxojn2Bg1bNzIVixf5n5TdrWTeKcg/Eijsmu6TQTakkxfP2c9HmPI+lkNrG2HTrZw3my/bxgmKdGtpgvjtevUdYPZSB8vjUlB9ZGXfwglW7dusaV+/EPbVi19EqwTsgmegspIp3eiBTCBE/0bfkNYQbMSF+CK0h4VjZvwIRa88Jp2OyGscLGkyvsVvky403Gl7eN5KhqPvPUH2NDo+fLOyuVLvX22+0nhLQMOtFlZCMmiV966C/utfIxPaD7QYImX8uZl7mAsRhspYZj8XB9//HEQVg466CB76aWXwnh32WWXGf6auNC2QAcEITxLc+wKR31IcONdWdAhL8zJ7/SnQK4fFrYb79NuHxv+0rPuFdE9gjJgxwaDwlARM27csDEs+Uxe8HE4M2i7d7jnR+ZI0sgQsS+NrVt8e2rO17I6Q2H16L3gI542dbr1crsCwVvcslRmqmMNQHRsJg9C3MuoaJpquIpbn9oCeLnny53BhgmEyRCBhcAXUvv2HWzOjC9tpWtZGjRuEjQjareC6qXs6i5wrPU9o2ec+wM7+4LLQ95N7pmZ835e+fBzV7BE20Av+OHPdisKloPWCB4hxHhwt4Q5P3bhE3nqZLJbvGCutT3l5DAB0la0U2UK0A8aqI3od2jACBhOIrDE35MuXYP4RfACJzzHcqoEZJa4hGv//gNsgh+rMHH8aOvpmjZsktjjk244ghc41XTe+ty1Cqt8i/zAAw/0CT0ajysaXtWPETV2JlxFDeCFkAGOOF0knHnmmUGrT7lnnHFGEFZkT4X3XJ6xHHSg0wAnjXHBp6j1Jun2LgoEgYXBC2Zq3769TzTrbfGSxUHqhbkIYtSCUI+nxXaFs4jI5/9dpe4Gb/koPPgyVtnk131B9eid0pLv8wmf26AD/Sx6D3qudOkai17EEljokGhY9NVSGXCJtxvwgguaFZaBwIWvXK1vt2vrux18WWiCW/+vdHV301Z+npALEfBBYUH0Uh34YpGtFe82uTt2pGH4bVuO8LdbmYEXd9VTEG31jnZgOWjKhPHWzpcWMLolaOBVut3qSdMfaidgZvKQdgVhRRo9QE93nISHYmBm/EJYgefAB2El3kZ8yY8dO8a+mPSJ7X/g4CDoFoXnKDuVAdqzfIXAMvOLyS6wrLCzzzwjCMdqt4psH9GcWFdh9AFeXUorHBAuaScCPKnAktE555wThBWOVnn22Wd341HSCRblSeJvBgWqquFhouYtmvv2uW42+oMxrkKvnfvFVRRSxJmSe+xXJJDAlPzOe4lxKT9+X5T6gDvk88lu1Jvvh1OCi1tGUeopjzTq7MDLPZMHEz1f7Zrc9a486i+rMsU7ihl0GGz4ckf4Qh0vTQTv0LD02b+v+0eZagvnzvY2j9pQ9CgILuih9iXm+IjdfrutCXzGziHefe0K774+eOZXp+DB5mHj+nU27v23vW+0sF69Ii1eVM8u4Se/MtLpmfAhJtAWtBETPV/LWkKFnkqTTvALFmATjLoHl7iAjM8V9SHScA0dOjRoXiZ/OibsKIQMeqeyKzrOhYcm8uWgqRM/9mXulTZgwIAwbvJe/F5RsKp+4mhMj7bBwz97utRXhB95e/ToEVDAVoUT0DlKhaUg3nXt2jUclsruLj54jjvuOBc2x9qrr74abJMEA+Ul4ZtHAd9tFw3iMABrhL2697ZXnn/VsupyonJkDJtuZIkz68IFi23u7Lk2ePDgMAiJodMN5jg8gpEYVTZfhkzwTO7xyUPp4nnT5Z42AD61BTHCCpMHgxTCCpOh0jGxcN+zR3dr77YmCAHL3MAb+xKlSQfcgEXwYHS7aP5sd0w3OezU6NypUxAswa8yBdpJF7ghIPN1y4TApXZUmnTELbdNHH4CsMJT2oVGv0GzImFFuBC3dc1er569bNmihfb5Z+N9a6/bznle3qVLED7YZ838fKrN94M7+Xjs3LlzAFH4pwu8xYUD/MCBi4MSOdoCfyu9e/cOF7uArrrqquAQ4/pEAAAgAElEQVS355FHHgnFw6Mc6zFkyJAguLz77ru5fbO49Sfp9w4K5FrV0vmZMPsd0N+eef5pW+JbyLRbCFTTsXOj/n328efs3HPPzR2o0n0yocOKntzTKRFasPVg8tB74nSieQA6549gE6w85osdgYXAMhBtowAetAvpe/u280EHHWyvjnjFjjnlTGvsmoutW1gyjCaPisQ5jhcTYLbbOrzufaGZw3jCCSfktk1FwiiaFjVWGxHTBvRzLQchVMYFZOFf1LJTlU5wEcfvEVZYCgIvNCsIyAq0EbgS0Lpd4LtSfvjDK+yDkSNsv34H+TlAvlvI29gLrPB+JpzY/ZZZK9M+Hv22fTF1it1xxx3B/ov3BKULPyrZn3ifwVgX7QraozFjxoQxkHPHbr755nAUCVua+U0e+JOPOdoSQYdnlZkOlazZ0g7cILDABGKoQYMOtAP69LPHH/mPXfPzK23+goX+FZweRl9QT50XBl67do29NWKkPfH4fwJhKwMzAyOwM8giqDB58AxhhWdqB8XpxjEaLNQOwAcOTBwsazEJInwJfmLSghvvGzZsZIcddpi99ebr9t6br1j7Lt3DDh5oQRqVXxF4C1bFs2d+4Ycm/s8OOnhw+Mqj3Rg8KxLG4tIFXIBbOCEgc6GJ4AMFmosfi1t2KtKL1sTxe3CA53iGZiWvsBJPy9L04IMPDpqWz8aNtq+mTbE27TuFLcNxgS0V+OStQ3CG5TkXVjhlfOwHI62pL58ecuihYcJW+9GGlTUIT+AHH+h+zTXX7IYONEAbhlfbgkJlpkNBeCXvCqdA0G2LmWCkps2a2mFDDrMP3/nIt9Wtjtz0+6CQDkwiOLPdb0uWe+V94pGnrUf3nu4cav/cATkd4NwT2YGfi0CsySM/1fyeyqjo59BXeHCPoMGOIIQRdgNxxScB0pKOi+cMSocfPtSGHHqYvfrckzZz6uRc3lLaisIxFy833mXb/RMP/94nwyw7/fTTw4RY2SYO4QM91W4sP8J3MrYlDUFx+JFGfwQ38HFPAH5tX0ZA1rZ5pVGs9KBYx7V+P/vZL2yB2069Nvzf4fgG2lNpKwpl4Qcs1X030DsjhtukTz8Op8238C3BPCcIl4qCs7T1Ck/ojZBM0PinWMIzH0Dwad5LtCAv5SThm0eBwDkwU5yhTjn1FD+mPMvuv++PQYCBoQjpwCTB7wYO6RYusZf++5pd98vrQ6eu6IGnKKwjGhPT+eiYxHzp6ssdPNKBzvnhI9hEawkr8AcTIEtBElbEL+AavwdfXMBj/d+kaTP7z98fsDWrVgbX+tgVqI786i/PZ7n1Ov05cXzU/16wLyZ+6qrp3nbksGFBIFMblSccZVl2nN8oF6GStqKNpF1RW6qdyrL+0paV2yZekOCD59Cs0HcQVOC5OJ7Ch7p1T8xkOGTI4OD5dvQ7aPde9iNDGrjAvTU46ydNqgN1cm13GOrWy/Kzg961Ua+/4nZePewwP0wQLRhB+KUavrKuDzyEC+0BfvFL7+FNNGZ5Lwk6oklZw5eUl/4UyLUeVKdmQmE3x3nnnmdjRo23zz6ZGBx+MVCI2SoCLeCjfpzQcWjitVdeZ8ccebRvNe2bCxfv0zmAAwE4oSeTR1w1L/gVpxMuor9i+AQDW+wIwIGJgwkd2JUmjgf3XKQB96OPOsqOOvrosNV0+OMPB1Q5CVl5iVMVVKdXHoSVaZ9/Zs/880/u7DDLrrji8lzDVOGQKrhKW49oCNzcM8lz5bWX4n26BbVJHAcELrR5wiHv9uW87aPfxPArPPqzn1/rNlNbgpZl7oypLvT45oIKGNuEH47hatepZ0sXzbdXn33Mlrt/oqt+fI2hXUEbGcch3dqopPCAEyGOW/xZSctN8u39FMgVWOLMw0R60kkn2jFHHWv33/2gbVi3IQzaHDJIOg0iqSKPOjcqwlatW9i///GUbVy9xa7xji1YKgKu4uAPnMKDwZNBlwGYrwkm/Pj74pSbirSCOx7HhRXU8kXZbaL8fCkhuFx2ySXWc7/9bcTwJ2zE0/+K/Kr4cozSpRI32gQjzKWLFtgjD9xpq13rc9FFFxmHrzFxxDVHqYCrtHVAQ9GRGF6D5wi0lfBJ134juIi5gB+ew7CbPoOwIo2X0oBn3iAa8Jx0/fv3s0t858lnH4+1F5/8hzsiXOlCakY48JX3+ZWRt8zS/hZMCCvUvW7taofl7/bhuyPtO76BYOjQoaF9BHMqYCotTkn+hAKpoECuwEJldAwmEwYzBgO2mW1atcXuvf2+MMh5jw9fKqnq2IKJ+hCiGjdp7D5X3rMn/v6k/e6++6x1m9YOc0Qm0nClaxBsxAy+CF/QWRM9zzWQpRMOgkmDJjFaFSYOYEZYQXUr+IE9fh/HRc/BGwGhjRvY3XrrLdaoURN78pE/+Vbnt/ysn1rhHQ60qEv1xsspq3vKBiZ2ZxBzcOJjf77XvpzymR177LF23nnnBVikiiZNZQmClZgLYQWeo63gOdFV79MJr3i7Ax/9RduXEVbivlYEv9oyLx681zti2vKCCy5wl+9n2CvDn7QX/v1X20JfdC/K0miQrryCYJEQDO+9/sKTNvzf/7AjjhjmO5l+6G3EkSURrEpfXvAk5SYUqEwUqHazBwGszk2nZkKp4y7PDxx4oN3567tslTsxOmzYIS44bEtZZ1JnRVjJaphlkyZMsRuuudmuv/ZX4TTPaIBJf8+j4EEQfWVMxuDLhA+9havShQwV/EcwCX5iYEctD3/wlcvyguAX7MqXH/jQQOlov1atWgWblnfeecc9Fo/1yTTTuvU+wNf1oyVI0Uz58iuzuM+ED2Vm+2SIzcpGx+lvv/+1ffTum3booUPttttuCzYSgrUgnIpbf3mnj+NHXbQVEz5CC8si2nIumioub7iKUr7oTAxfwSNsmcduBUEXnhP8lAfsyrOn8kkjHKEF/a5Pnz42ffpMe/XF4W6AW8W67dfXeS8jLFdSD6GwcvdUX37PVRZwBGHFPwgJI555zB576PfWp/f+9uvbfh1OI+Y9uMfhzq/M5FlCgW8aBXYTWEBeHVsdi11DgwYdbLfc8OswaAwZelAYAOn4eSeqsiJevHMjrDRo1MAmfjzZfvmjG+zSH1xu559/foAh3qEFd1nBUJblABs4QS/sN1BtQz+MBqVh0ft0wUNtQKzAhIewwoAqg0cGd6URnoXhoLJJBx26detmLdzXyWuvjrCpkz61Kq5d6epLRVhDkrYs+Ux1gxNft7V9AscN+l/uudHGjx5lhww51O6+527X+jQKsKnuwnASjdIhVjsAO/e0GxqxuK2R6JpueAl2wYWAjLBCQFiB7xTyptXz/GK1O3ngOcrCDwjn2vzv5edt9fIl1qVH73C+FTYupCtO+fnVqWeqmxjNIYd2bvYzsB53bd7w//zDdzp2t7t+8xv38tol9C21m/KpnCROKPBNp8DXBBYIoo5Ch2Vyatu2jQ0derjdeuNtNnvOHBty2MFhuzMdX6E0nZv6CCpDZVJ3k6aN7d033rebfvZr+9EVP7aLL75Yr3MHFfKlc4jjxwDM1y5LbnztMjjFQzrgovYn5gJGBC2EFQRIJg00Q7IhUBrli+OT373amZiL8hFa8Or57qh3XDgd6677v7JuvQ4IPlrgs/zoEi8nv3oED7GC8iANZdSqbW+8+Iw9+uA9Nt292R533Al25513hgPZ4nXmV7fKS8dYeAMbeMipH+0Wn/B5ny64CWZi3SNorV69OuBAX4Hn1H7wjNKBR2FB+Yh1z9JSv3797ctpX9p777xpX7gX3PoNGgUfLfAH5ceD8hEXFARXfvnZujzl03H257tvsNHvvhWcof3m7rsD/8c1KyqjoHqSdwkFvmkUqOIdY/demUMBdRhiLgaI2bNnu8HaxVYlo4rd9tsbrVGTRq5Szw4DSpxwxe3Y5I2DUcVVtNX8bJhNfmjiow89bq+/NNJ+c9fdvgx0tGXvcHWpe64kFLWekLgC/2jyI+ZrEYGFiYMBExz0vrCBMBUo5Nfu2BAAN1/pqOP5OpUdhNIDW3HhV17FlDFx4kS7+ZZbbNoXXzh/NbXTzr3YDjn6xKjNnS9CyOHJ6EfR/gIbF3WxG2nRvNnuZ+X+cIIv9P/RVT8KHpNZLkin9igadrunAn76K4FJf9WqVQFvPIzSfumGn9qfmAvYgRtfKwj49JWGDRvmtp/4TPHu2Bf8a/e6WE6uEvj63nvvNdzDo9U75pT/s29/7zI/Bbyu08rtm7xIwVZw6bu/zeU5f+xnoIRlzpfcuPy5f/8t4MI5OT/5yU/Ckmi8TQTj7qUlvxIKJBTYo8ACadRxiAl0QL4CbneX0Y89/qide9GZduqZJ3vH9uPpfZDJ9oGSnUR7DKHn5/+WgaOaHzZHXZQza/os++VVN1pGtUx77LFH/eu7y9cGWsGXf4kV/1R0AxJox+DL5ME9AzCTo9LwrKKD6BmHifZGs8IyFksKCFnAHQ+lgV11xidZvqo5T+Rf7r4b3ywtW7ezU7/zA+s76JDAI9UcDoRW8vLPb3LpKLiAKbp84nbSBpsY57GlC+fb8z5hjP3g7WC/0m6fdu7L5zpf9oxO+67sE4faDjpwj3C8YsWKIGQisCiUps1URlnEan/BDVxo8+ABNEPYSNFX8i49lqbu/OqkvNdff93ucy+r8+bPdwP/pjbwkCPt2NPOsYaNmwYhqqp/RJG3IJ5zpgsCDmm3+y6gnS7wrHdh/40Xn7Y3XnrWNm5YF5Ybr7zySjvllFMdr4iPqR/cBRu/k5BQIKHA7hQoUGAhqToQsQId68MPP7Trr7/etts2O+2cE+1gXyaqW9dVzn7RZZnoGPy5QifPyU9eXXxJMRAhrGze7OvsPrgunLfIHvnTo642/dyu8a+P71/w/a8NVoKFctI9aCKGHkz6TP4Mwkwe4K/3onNF4aP647QFNsFMO+Vn8Ai8yltS2JU/XjdlTZs2zW6//TaPp/vWz7VWp159O+yYE23A4GHWok3bYCRZxWlYw3d4hHNhBICzanb2tkj75zYDG/wIh8mfjrX33xoRDr9Dy5DlHmzP9APYznd7KGmLyC6eEkwqsjLGLN8x8aMhQ9BEU5Eu/AY9RWO1O8/iAjKCsQRkpY3n476kQeWpbmL641I/Qw1h+bXXXrOVK1eGZwcffqyfP3Sg7XfAQa6dYwel85unjZZEIwgYijDghr7b/Awqv3Fe+9j5boy9/+YI34m00f1HNfSdQEfYD37wg+CCnrTiN2LBVFKcknwJBfZ2ChQqsEAAdWru83as4cOH2/3332+btm60wYcPsr4D+1jbdm2C4MIAyWFenEVU3Sc8zxwMHbf6F9QWF1A2boi2x65Zvdb9Iky290Z+aNMnTbcLfnCBXXbpZUFVygDGQKJ6BQNxOoc4zYCTr0a0KwxSCCtsL40HDVzxZ6m610ApmIEFOPk6ZymI50wcCFqCs6zbQzCAM/dctDuBA9Lgs3Hjxtlm/+pmUkF46eLHMjRt3sradejixpJNyRjSE8+ZNc2WLVlkM76YYnNnTrN6LqDU86UsdiUNHTo0LP+AkyaNOD4UIjyjAivHX2gWD2gomHSZ+KWl0PuKxk/tHW9rbV+G5xAG8mohyxr2OL3U/jyD7xYvXhwEl/fee89WuoYKgXnL1i0uuAyytn4OUZ269axjlx5+HlHk2wZ/KvNmz3D/PStsiTuB+3TMB1bNhZj63tcbuKAycOBAu/DCC619+/YBjTj+ZY2XykvihAJ7GwWKJLDEkY53NIQJBhYCk8ljjz1mo0a9a/Wz6li7zu2sZatm1rhZ4+CZtnYdn+xck7Jl01Zbt36trVy2yjv2clswe6Ev/8y27j2629lnn+X+EU4PGhUmEgKDhwaWih5kA0DF+AMOwE+M/QfaFSYPBBY0FnpfjCLLLWmcxtxrdwaTCMaOGD2K/hrc9bssgRJ/USb30AhaERD42P48atQo++qrr4LwApyr17gWwQXCODx1HeZamX5cgMeNGjW2fbvta0NdUOEQPALlEiQUxesNLyrpH/EU7aZlFQQztGN6V9GoidbE8Xv6CHYrtDcw592+XJ5wx+HQPfyELc1bb71l48ePd/uqSU7TVb5UtTHwG4KV+Afa0kdqev/OdL7jDKpevXq6J+4D7Cj36sw7Qt4PsDjPlid+SdkJBfYGChRbYBHS6tR0VAxhUcsroMofO3asTZo0ySeWWX7uz6IwEIVtpK51adasibXbZx/r7tv5+vXrZ4MHM4lEyzt0aAIDAZ1Z9YSHleQPMBOIwUOTByp6Jn80T3HcKnrQErwiL4M0gzFaIbQqTHbgIXyIyxtm1UHMBZ8xkalejmiYMX16mJQnTZ5sm1wbFGwM3MKAJckOHTsE9+bsPGKLsgJtQRmVmb+ESzyGRvGAILd8+fKw3AX++rAgjWgYT5/qe7UrsHCPNghhhXsEevqI0oj3UgE3dQomeI4ggZl7eG3pkqW+VLrO/bjMcPpG4x7+qdq33yfwWgO3uembcyAreSgnzr+qg3dJSCiQUKDoFCixwEIV6ngaWCRsYJxZnEA+LgaGvWUiYYDSAKvBGNxQc2MzofdKUxx6lWVatR1wcCFUIaww4WlHULRWv0tISSXMwEegTu7jgz/0LEpASCGIt1RWKvEoCpylTQNtwJG+hDaPdkRAhuf0rrR1lCY/7Sfax9tVO5mAG+FY2jylp85Ut5XqJoZ2+h0XXgqiBbiI5uI70qucgvIm7xIKJBTInwLRek7+7wp9qkFEMYKKOrg6Ob+5CPHOSh4uOjMXA0He94UCkKYJhC/4MXAx+UMPBAANeMK/IlEQvRUDK0a2CFjY2DBx0KbAXlHwUq8C93FeAV4C8OUNgpcYmhMLT9Lye28J4jfw4R660Ia0HRoyvY/jXxG4i+ZxOCQgI1TGlx6VRnlSDW+8XvVZYBLPcc8VD+RRPvEp7+Pp9D6eL7lPKJBQoGgUKJXAEq9CHVGdlg5LoLPyTJ1W90qfXxnxZ5XtHjzjOLOswhckgx4CC3RRGnDLjw6pwDkOIzDEhRU0QEwe2j3Dey7lSQV8e6pD9CLWRKJ4T3n0XHn1e2+JwUtCJTH8hgDAsoq0naSpSPzhnbwBGNEEIdADKzxH/xAuwFvRPBenGfdF5bU4rvEy4s+T+4QCCQWKR4Gi6dSLV+ZuqdVZieP3uyXai37EcWSwZfJgAMbYlqUV3msQVtpUo6/6iQnE7AjC6JEJg4kDeBXiMOtZEqcPBdSeQITgSTvCa3EBuaJ4DZgEn2JgiQvIspNCGIin0T1lJCGhQEKBhALlLrB8k0jMAKtBlphBGYGFARoBQNoVaFJRE0gcPrUNX7gsBREQVuJbroFTeZQ+idOHArRN/EKjx4XAAs+p7YgrIsTrFy8hwMNvXGjxsFvRcjIwKl1F9ZGKoFNSZ0KBhAKFUyARWAqnUZFT5B1oEQRQezMYc8XfV9QEIhhUPzCilke4wmaFr10EK4LSEichPSlA2+hCEJCWDKFTzyU0pBoD1SteAx5gRJuHsEKfSISVVLdKUl9CgcpLgTKzYam8JCgbyDUoqzRpV3iOal47bXjPwF0RQTASAwMGj0wcfJFjQyBhRe8VVwSsSZ2FUyBveyIc06bwGm1JqMg2hMcEo4QVBGR2L/E70eYV3sZJioQCCQV2USDRsOyiRanuNDgrZilIkwdqbz1XXKrKSpBZExcxGhQZPAInX+MILDIoJI3Sl6CqJEuKKCBeIpZ2happT9o4/j5FIOVWIx4SHwEfvIawwjOElbxCldLmFpLcJBRIKJBQIEaBRGCJEaM0twy2BE0eDM4M0kweEgR4p6s0dRU3ryYCxQgraFb42tWOoLxLVsCZhPSlAG0pngNKNHq0J7yG8EnQe8XhYYr+wD/Uq1jbl6XNk+fXeJqE51LUOEk1CQUqKQWSJaEyaDgG3fjAy+As7Yq+dpWG6lI1MFOn6tO9bAiwI5ANQVwDpPQhY/InbSkAD9GWEghoT0J8N5rep4rfqF98xj31ciGkICDTJxBUsFsR3EpD+iQkFEgokFCgIAokGpaCqFOEdwzQDLoExQzMfPEyefDFWxGDs+BS3cDHMxk8smTA5AGM8TTxe/IkIf0oQDtyKUi7wu+45oLftGeqQpznVDfCCstA8B3CO0tB9Il42jguqYI1qSehQEKBykeBRGApZZtpgtfEwADNchBBAkt8cC5ldUXOLrjikwFLBnzp8oyJDWNgpaNg3QuXIleWJEwpBfK2E+2q3WgY3Mbfx9u/PIEUjxPrHkGKXUtc9IX4jiBgjMNZnrAlZScUSCiwd1AgEVhK2Y6aEDT4ol1h8mCAZsmFoDSKS1llodmpRxeJgQ242L7MMgHCinYE8VtpyEPaJKQvBeLtCpQIBVoOwnZFfEisq7yxEd8INuqFr4AL7Yp8rdAnSEOIw1ne8CXlJxRIKLB3UCARWErZjhqsKYbJA+0KMepvbWXWxEFc3kHwKKZOqeURWtCqaEdQ3MZB6csbvqT80lEgPtHTZvAbAjK8Bs/lfV+62oqWW3WKh+ArzjJCWGH5h2Ug+C7ht6LRM0mVUCChQP4USASW/OlS5KcarMmAYIBQwBeldt3wnisVQROGYuplMkOzwsTGhIZ2JT8bglTBmAo67K110K5cCtwjGBDTrtgl6T1xKtqUenQBF/fw2po1a8I9y0Bo8wQPMSEVsIWKkj8JBRIK7DUUSASWUjSlBl+K4OtRtgQIBggsvNdVimqKlJV6mAQEE/doerBZQTWvHUGCi0KVPpk8ikTiCk8Uby/aGQGZC0GF5Zb4+1S0aZznqI9L2jx4DyGKi6C0qYCrwhsqASChQEKBcqFAIrCUgqwMvhqI0azwZYlqPr5NWAN5KaopNKtgICZQJwIUxo4IK1LLI6zofRz28DD5k/YUUPuqDdGuoEGLa830rryRifMcvESQsEJfYNkR7YqC+E2/kzihQEKBhALFpUAisBSXYjnpGbDjgzaDtGxXJBiQVIN5CaspUrb4ZMA9cDCZoV0hMHHIvoHfSp8K2KgvCaWnQF5+QziA56Rd0XKQ2rb0Ne65hDjfKxU8x9IjWkbsVbBbASYF4Er4TdRI4oQCCQVKQoFdI0pJcn+D82hiIGbyQLvCPar5uI0Ig3t5h3gd3AMLkwf3fOlKWOF3HO7yhispv+woQLvFL2lXsA9Bq6egNPpd1nGch1S2hBW0eWgXs7KycpdESSOeU/okTiiQUCChQEkokAgsJaGa54kP3HzpcsnYVkWW9+RBPcDBRaA+hBU0KywVIKzEjTE1cRAnofJQQG2smLalnVn2Q0BOpXZFPAQsumfpEZ5DcEKbRxznSaWtPBRPIE0okFAgHSmQCCwlaBVNHAzYfF0irPAMgUWDtQbzEhRf5CyaCKiLCziYOJjM4tuX86YrcgVJwrSggHiJmMCyC1o9NGeptJcS3xMTEJjQqsBzaBXRrMB3BPGc4vAw+ZNQIKFAQoFSUCARWEpAPE0cZEVIQEDAbkU7NXivqwTFFymLJgLFfHVLWGEiw4YgLjwBD2mTULkoQJup3WhDhAT4jfZmOSgVy4/x+rkXbyM44WsFmNCsIKwIXvEbcRISCiQUSChQFhRIBJZiUjE+IDNQI7CgZUFYkbGt0hSz6CIn16RBTJCwkt+OIN4nkwdUqJwh3na0N/yGdkX8Fn9fXsKByhXfQUmEpriwwvIjQWnIo3zhRfInoUBCgYQCpaRAIrAUk4AMwhqUmTj4ykRQyWvYWl6DteomJhBjgIkdAV/bfOkymSnE4dWzJK4cFKBt1c60IwIy/IaAioAA3+m94rLGLA6D7uF7jLqJ5Wslzme6L2tYkvISCiQU+GZTIBFYitH+GrDJElfNM3HktSUoRrHFShqfDIBH25d5LhfoKlBpiZNQ+SgQbz/aGgEBDQtLfXn5rTzamDoFg+4RlhBW4DuWpOI+YEir9OUBT+VrwQTihAIJBcqSAonAUgxqxgdjBm4mD54xeaRipwaThi7ARi2P3QpLUnxxM4HEYdQkUwwUk6RpRAHaj6A2pb3RsGArAs+pfXlf1kFlx2FASIffWHoEBoQV2UnF4SwPeMoav6S8hAIJBSofBRKBpYhtxsAdH7wRWJg8mDi0BKOJpawH7Hi93CMc8bXN5EGcd/syKJGurOEoIqmSZGVAAdov3obwGwILy35x7YrSlUGVuUWoXmICfIRQzLIjF/WjzZPQpDTKFzIlfxIKJBRIKFDGFEgEliISNC6MMHgjrPCMQZtJhFAeA7bKJOZCWEGzg8EjExi2Mwgs2i2i9ImwUsSGTcNkakNAE9/R1mrvuO0K78u6rVWn4CBGqwLPoVFBsyIhPZ6mrOFIw6ZJQEookFCgAimQCCxFID6DMheBQRmtBmv4DN4IDFoO0uBdhCKLlETlxevWl660O/l96SYTR5HIm7aJJDCoHaXNA2D4DYGFwHulCQ/K4A+8Jn4TX8Pr2K1QF0bdLD0S4vxZ1nCUASpJEQkFEgrsZRRIBJYiNCiDsQZnaVf4jXZFk4feE5dFyFseMFC3bAgQlvYkrJQVDGWBR1JG8ShA2+mSECBjW7QaXGpf8WXxathzaspVmaobwXjNmjWhTjQrElYoBYGGdEq755KTNwkFEgokFCg9BRKBpRAaavIgGQMzQoNsCZg8eBafQMpq8Fa5mkQweIzvCOJLl69tgtLkvQ8vkz+VigJqd/ER/MYSILG0K2pvxWWBoMpSTJnUK6NuBBUEZN4TBKd+h4fJn4QCCQUSCpQjBRKBpRDiamAmlh8MvnjRrnDF35fV4E05ulQ+QhKTB1+1cV8rpFMaUOE+CZWXAuIhtSO8hv0IwjH8pvdq97LAVGWpbMqkXmxWqBsbKYQVYNKlPIKzLOBIykgokFAgoUBBFEgElv9v786ftTmqOoCPb+VnlCxkJSQhRUgAQYWAJRpBXFFAWaSkhLAoi4C444KlFluy68AAACAASURBVIWKFMgqIGCsAmQrEOOGS4iiBS6gWAkxyJKQfSHRv+A6nybfm34nz733ee597vLe53TVPD0zffp097fP9DlzunuezdAZ0zKIG5jjXXFOgWSxLRYZyLdgt2VyFEFifLnlKQ/le9O1pTSLbFOuuMKxj0D6XcxA5uWIgczDkvRl9Xf4iR2CNTPWrDBWyFu+tSJNucnjukIhUAgUAnuFQBksmyCdQTyDtIGcArFupZ8OSvomrOZKiiJIjC9lle3LDBUKJIshpS+r7LkqWES7jkD6VEzeGA2RN3IhSFtGiJyJw5uRlH9fJuO8eTw7QmRtWeUvow3FoxAoBFYHgTJYNunrDMxiAznlIXjTjXclg35oN2G3aVL4RHHgF7c8D0t9qGtT+A5FYvpe7GAcOxgMWa9ELkK300aHF345J+MMZEaSaSBGS5+OrkIhUAgUAvuBQBksG6BukO4Ham+71pFMtzLLjm4noS8nfEz/eNO10JbC4pbv33SjYEqBBLFjP+77lLzpe4YxY2XqVdtpayPfkV1xph7Vg2eFkdzTlaztFPXKXwgUAjtBoAyWDdDrlQfvCuVh8GY0LNO7gmfKUhXnyvOW622XgRS3PNrQJF+7UT/HPAL6M30q5l1jQJC3GA4aKW2noS+HvDkY49ZJSeNZMfUohBZNhUKgECgE9hOBMlhmoG+QdiTwdlAe3nL7t13pOx3I5U9ZOe+3L8ctr6woj8TuVTgcCKTvxZE35zGQ0+fu7SSET2K8TDsxVnh1ePKyI0ia8nZaJj4VCoFCoBDYKQJlsMxA0ACdAZ23w4AuNq/v6NPR7STIHx5ihhHvimA7qbfraXmlQHaC+MHM28tAv9iWpyNpO+13fCJL4Zl1UmRcWTFWkh76g4la1aoQKARWCYEyWGb0dj9YM1QYEUIW2/bpO1Ei+DjwcMQtT2ExVmbtCNpJeTOaWrcOAAK9HJA3ciDwrpgSjIyItxt6HuHDk2P7Mvkm26Yes11eOWQt+bZbbuUrBAqBQmBZCJTBMkHSAJ1BWuzN00FxLHMrc8pQPMWgDJ4VxgpDpf9DQ+lRHpPq1uUhQEDfCmJGBDkgb+SgT8v5dpos71S2s06KYfT1X//1zXuIJnXpZXQ7ZVaeQqAQKASWicBxy2R2GHhlYBdnLYGBO96VtHEnyiOKIHGMFW+6jCLrCCishL5OuVfx4UCADAj6ON4V9/Q/QyIykng7rU4Z4SG2A81hirNf1C2t35G0nfIqz+FCoJcb5+R0s/EvMhQ5gsZm9McKWsFB+49VDNIGmB+L7bhbKx4rUrOL9dSZQgwE3o54Vxgsud/Hi1YnApOyxBbZUh75UBclkrCTssKj4oOLgP41cBjcs3bFvaxd2mnNI28ZYF3bfWYqyDljhWw7D23inZZd+Q8HAuRREDvI6rwheeelP8h0aYv2H6sYpA1wPhbbUQbLXU9IBukoD7GBnZcla0l0dtK382ClDLGAV950vVHzrORDXdKVlzyuKxw+BCILYgtgGcg8K/1WZq3uB5p5UIjcTGWIFy/bl00DKUfo6efhXzSrg0BkQ/zmN795+PCHPzycfvrpbfzq5dJ4Zir73//934eXvvSlw7Of/ewmV5Dq6fYTOW2YN0yfneDwh3/4h8P73ve+4ZRTTmms+rYFg8985jOt/S9+8YsPFAZpg4q/9a1vHT74wQ8Op5566vrzH2zSjk9/+tPDC17wguEnf/InD0Q7ymC5q4emwhnvivuMiCxGnNKlg7eKIyj9A0N5ZEcQY8WbroCG9Zs8W/Gu9GMPgchB+phhzEAmX713JbKwSAvDM2XIi6/FvDwryrIbiHJx3+AkdiTvIuUV7eFGIDIhpsA+/vGPb9nga665Zp0m+ddv7MPJduvQPxPh8Z//+Z/DZZddtmUrLrroonWa5F2/sYSTzXhulNbf15fztOPLX/7yem37/Os39/CkDJa7wNYRjhgKBncDu7ddx3RgX6SP0sniBMYK5UFZRHkoO8ojeUJf8eFCYDoQMpDJBE8bQyIB3aIhvOXLeYwVZfCsmAqKrKMJnbhCIdAjEJkQ92vrTF277sc1YyVPoTEtIflzvR9x6pB4kTokT+J8OBQP7YdDj4Frz/NeYQDvyy+/vB0PechDhic/+cmtXnSJZ7wPaUPqnrRjpS/LYBl7jLDFQBAzVAzwzrPYNoZE3+Hp7M3ini86+aM8lJMdQVPlsRnPSjv2ESAXCWTLOiayQd7IgvPITujmiXu+kVWDJ+OYB4cxlCnOnn9/Pk85RbOaCEQBMnr/+I//eHjiE5+4vs4vMmRc65V65HA/EUvdPAs333zz+ovhtE7otPHe9753e1ZmjfvBgCf0Xe961/D0pz99zzBIO8Spm5jX67d/+7cHXp3v//7vb8ZS0jOWTNuadvDu68sf+ZEf2bN2TOsy73UZLCNS6dDE1hGwWlnPpoNyv4/nAbgXLvTy42vdijIoDlZ4/5ayaBnz1KNoDhYC5MKRYGCJwUImIgOhcT1vQItfBiMDtGlH/BlD2REUmu2UMW9diu7wIsAgYbQIvCp9iOy5t4js9jyWfU7O1cX0xgMe8IAt2b/+9a9v63DynMxqh3Z6noS9wiD1EMcopKPSF8aPnM/qhzzvPQD4xBu0V+3oy1/kfOUNlnRgBME1t7m3BG+jOjPCnngegEMrFvCP8vCmSzDw792JaJJvnjKK5thEILKW2jMmDIze2DIIRQ6mtMkzjUPfx84Zx7wr5MygRO6UVbI2RbCu50GATAnGsEsvvbSNV//7v/97lNwyjC+88MLmpYishfdWctfLrzyz6FOHpE15J1/u93Hy9vdmnRurNwrhwVP+l3/5l+1F4P/+7/+OwoAR8fCHP3w48cQT15839d0shO9G7cp9sbK/8IUvtLK9/F5z15qhO++8c7Dg9xu+4RuaHjvttNPaeXj35eee8Uc7vDjP6stHPOIRw/HHH79QO1LXvjznuS/eTlh5gwVwsaJ1oM536DyDOys16YsAnI6RxzkDqN8RFOWhTIdyxNvtyEXqVrT7h4A+FtLXBsZ4VxiwvRwsIguhjSyRWUqFd4Wx4q2LQRQFEvr9Q6JKPhYRiPx6qXvta1/bjlnt+Nu//dvhu77ru9bHTnIXY5zsRf77vLknNl56FtBO6XvZ7c/xml6Hf+4bd7/3e7+3lZ+0Pg7dAx/4wHbbde6FLhh4du2acswKH/nIR4YnPelJrS3aPuUzzZP04NCnT9N4ih784AcPDBLPOUMDzac+9anhW77lW4azzz57uPHGG9tOoIsvvvgoPMM37aDvfv/3f78dSetjxoxppkz1pS49jfPwk+687/Ncp09db8Rnyre/XmmDZQqwa5YrQaQ8+qmaRQAOX7EO0nGUEoMFTw8NC1wI38R959T54UPAQxqjQZ/Hm8c4ZlgkvTdctkIBn4QMFvh665NG3qbGSslbEKt4uwiQWdMrxjbyKpArb/cOsugQjHsJs2Qv98Sej83o0QiR9eRNWblOeX18n/vcZ/joRz+6Xq/k6WlM23sWhbSrT+/P1fO8885rz3FolW9dyAknnNBIlTGrnPBJe1z3daeL1KMfC8JHHQVGSULPJzt7eFfnCcrRl8aNvh2mvHhXBPdT/iyeSUsbYqDqT3ldS0t64lm8Nrp3txRtRHGI7wM4YGomISAk7jMoArDrdMZWcKQTpkop25cZQllYGZp5eW9VdqUfbATIRoI+1//kTTz1rkSOQr9RHLrIkmtvTAYq5wYcvIXIcfJsxLPuFwIbIZCxyvj4vOc9b/iJn/iJwTREDAyyJY2HwrnDOOrbLRaEWswqeFsns0nPWJvrv//7v2/fOcFHme6jl0+gAJV57bXXDm984xuHRz3qUcNTn/rUlh45b4R3/cjvPvpnPOMZR3l7ejr1MFb/4i/+4vC0pz2tlTnl51pQ/rOe9azBt1Z4OHoMGHPx0kTRq4OQdrhOO/D0ohweb3rTm1o9nv/85zfMUv/EPKZPecpTWjvw++xnPzt8/vOfb1NQj370o9sLinHgggsuaGVO2+Bm2sFYee5znzsoa9oOfXn++ecfxSN1EE/bAj98jWt/8zd/M/zjP/7jcPvttzePDzx7uUj5jfm8P2OhKxtGsNfGB2BN7Bg/qLV2/fXXr912221ro/HScHF/3hDa8BOPbx9r46r0xncUhsa3T8c7+eYtp+iOXQR6eRtduWs33HDD2k033bQub9LnDZEbcfiOA8XaLbfcsnbdddet3XHHHWvjILgu3/gmz7xlFF0hEJkRjx8Qo3XXxrUZa5/4xCeOkq0eKXI3Ksx26x3veMfaqMjWRsXVrnN/I/pxDcbaqJDXxo+aNRK8HNPg3ic/+clWn9FYacnkP/Xt6XPviiuuaPTasNnxqle9qmWnB5I38U//9E+3vKMXZW2c+toUg+RJHL3S182zm+de/ccPuq2NBs/auHakjQ9o0/7w6fM7/63f+q1Wp3G6a5rUrpMvsZsvetGLWp7RiFy7/PLLF2qH/LPaov7Cn/7pn66Nxs7a6N1d+47v+I5WzriuqelB6RmvnC8SVtrDMgK1bmWOAtHeTN2LB8S5Q9jKGgyvnj5vumJvuY68SeDnSL5WSP0cagQiGxrp3NzzOIAc9U2UpC0ib5GhcRBoX7EdB431HWjkTRne5EJ3qEGuxu0qApFhMuXYSE4zzlkY+uu//uttPaC3bQs4zzjjjOHqq68eRoNn+OpXvzp853d+5/DIRz6yeRi8jb/yla9s05ny8hqcPa7H4AX4h3/4h+Gf/umf2ld2zznnnGFUhG2s5gXIzpiN6hPZN03zwhe+cL3eU3rPifH6W7/1WxuO0pN3Cqz7W2EgT48ZD8r4ktK2IY8vFW1h7nd/93c3z9CXvvSl4Zd/+ZeHD3zgA62oM888sz23LlLPxHiOBkOj89y7hoP68xDx8AjKcy/taDfv+km95J+3HeEjL97qrF9tFYfZRaMXTb1Mu0l/29veNvzQD/1Q23H1R3/0R4OP7ll3Ez5pT1+vzc5X2mABVgADsoFeRzt6QEOzEZA6L/ShwY/g4Gn9gHUEOjC0od+Kd/hVfGwjoN/T92KDosPAnoEmg8Y8MhH5CU+Djmkg6wnwMxXUy1vojm0Uq/b7jUBk09j26le/evjQhz60LtfqRp7Joh0yz3zmM9v3PbLOwnc+THX4pD2jhPISfObftMrLX/7y4WMf+9hgwa5yKG9Giymfn/qpnxre8573NCNfnrPOOmsYvSDDwx72sDbGKnOzkHor+y1vectmpEelUfYbBWO7hcd//ud/PhMDi19NU9lqrH6w8b2U3/iN32hKHl9ppmPe8IY3NIOMsfIrv/Ir7ZP5jLdp+f1z7PnWLjTq4jA9x7hTlpB2J584IWnGjN/7vd8bLBIOHZr0pR1fpp+8yBujBGX+xV/8xTB6doZ//dd/bfesdXnJS17S+vE5z3lO+64LI8Z6HnUSYkj19WgJ8/6MGVcyjMCvu8C427jPudHHhYrrbvRRyLbEBh8h/JyPxso6P+75cSHTenpPj7bC6iCQvidX48DS3KPiuHvnkTdoRdbQO+Q33fiVr3ylTS+ZhgzdvDxbhvopBGYg0MvtuG6lufpHBdTc/KOemRmPb9Vtin00StbGRalr6EcjZW00SNp00mhUr73uda9bu+SSS9bG3S5ro/JdGxVmk+EnPOEJjaeyTDt5RsY397XxC65ro5dl7Z3vfGdLHz0Ta1dddVU7v/jii1vNx5eA9nzMaEa7NX128gz1cWimPILD+D9JDYNR+c5sezBRP+O/fHTC+EKx9qAHPajl+dVf/dW1P/mTP1kbd1K1a1iM62taez3P7o/rctryBPWY9RynPuLPfe5za+PH3xo+rnNs1Ab3x/8ImqsvH//4x6+NnrDGSt3wNr03/gdRq7vps3e/+91ro5esXb/97W8/qtjR0FwbPVtr43qa1kaJ2oPPomFlPSysyxGwZinGu8JiZQmyHkcg170msURnGYHS0ArhydXvwItnRSyg63m3m/Vz6BGIfCQeH/r2NuS6n36MLG0mb/JEzkJv95k3Xm9EPCt4ogtt4kMPdDVwVxCI/ETuvMlvFYyl6B760Ie2XTQWu/7Mz/xM+2NEngN/qPeyl72ssTE+Wgjrf21sA/72b//24c/+7M/aolcLSI3Pvvkyrj8ZRsXcpkyMo8Zvz5KgjpuFtCE0mz1joRGHb561xPNggFY9xZ7NL49bkU1xPe5xj2seJvxNbfFC2DoMD9NApsns1pEn5aOdBnwFsYWxWRw7peuvexycz9OOtCF8lDcaisO49m740R/90eYJk2a6zfZn03YXj1up9etoyLTpIJ4f27/zp5noU3/n84aVNFgiBAAj9DqN4FtjEuMCgPMAileEQMy9RnnIyxVGeQg9zTx8W6b6ORQIRM7S7wYjg7CpQvKWdAPDZmEqQ67JLnlzbispns4FfFPmZnwrrRDYDIHIkNh6FDtjnEfO+ry5b+rFy9r4Jt2S0Y7ehmH0AjYlbiuwKVH3KWn5TBcYjz0bwuj1bjTk226kf/mXf2nTnWePa1rysimfkLhdzPhJeuIZJDNv9fQ5/4Vf+IU2RTIzw3gTnXbZQu2ZTF3twNFGO2Xgop3+KdkUrqkhdO4bBxzOU+asspSRspz3eUM/zd9fm3r6sR/7sZDeIw7vk08+ub0IIcg9BoixSz9qh7KtTZKu7tLe+973tqk+/Wdaz984JPT1yL154pU0WIAVIQK2B8c9whSr1nUEYiMgpYcGPWMl20k9rIyVlCV2VFgtBMhHgv7vvSuMCw93aCJLoe/jpIlzTm59a4Us58NwU3kLbc+rzguBRRDIuEWW7ne/+7Vjnvxk3Xgaxeurr5Q1ebXlNR6W//iP/1iX6f554C00JvPO2BZNub7mNa9pz4yFm/io016F4HDf+953cMwb1FPIYtO//uu/bvWmH6688sr20oEGf3ilnMQblZN0sQN2W4XkQcdQdCwSkp9xQndac/Sbv/mbzUCxtVp/MNL0KY+a8cn6GGuUIg/pM3H4zVuHrVs4L6djhA5IPWDeUA38rFwPBwD7Y1azwiNgi701M1Y8nNkRlIcv/FLuLJ5173AioO/1e2Ly5kEnb/GuJB3NNPSyFvlBF2MFL548b2iz5G0Wz2kZdV0IbIZAL3cUqzFuniOyi5bcj+s3mpeEh+Sv/uqv2hdZf/zHf7xNKZga+eEf/uH2rJBtwbQCZehtnhL0FVffZ0GnHpT7PEp6s7YtkhYc5sUAnTyeQRhot39TtpDYR9ostmWEeXFxjs6RctStP1+krhvR9vwWbUfqo448K4xPXi/9+uxnP3sYt0k3j9G45qVNBd16661Np1qYjF77LSqWP7w2qudG91fOYIlAiFl8Hg6dyNqNd8V137E9eO7LGz4eGA8jY4XRgk+/fVne0IorrA4CvRzpewMEGSF3Binz/JGzWbIxlbXQyj9+M6jJHUOFwRLZhW7J2+rI2F60tJdN4x1Z2+pAJ5/DjhH0tvGSecbKYx7zmPafN9Y42F0yLkBtaznQW8dCCVJ4tgBnt40ttAwcxs255547fPGLXxzG72YdBUH/zB2VsISL4LAoBoqWVz67qqzXsZ7FPz2bLtH2caFxGxfQwYqBY7xwLuTZbxc7+EkbsNhuO9TFuGOXkHpbV3TJJZe0Nmqfj9UxZAT61VoXa3f0lfV28vf1aIRz/nzdmHnvfGpzVmq3yPqmAswUDuvdQ8SC52EhJNI2AzR80FAejBWCx1jhmsenp3G+Gb/dam/x3X8Eenkib+axDRS++NnLm5rOkpHIUdINZIwVMkfe8OGpCR0eJW/73+9Vg6OVLLmnvCzMNN46J8M8hJnO7GWYYpOeNHJvsS6ak046qY27ni2yjxee03H3oPVBnss8w15e+i9Rp/3q7SXYs6xNB+2ZTj3VS//pJ32gLVmL41r/COgStIcR1vNI2jzxShksAInQMDQYGQ7rTYC9lWAEZDGlEx75jyA8poseU948nVE0hweByIoWkSsPr/lcxgbjmKwk9A907iV/5AeNgc7ggIcpJXzEvVEU+vCpuBDYDwQih4nnqQNaYdbzME/+g0rTY9Cf9/Xd6H5PcxDOU0+xsNd9tVKLboEcwBkbrFgWem/FbtQRyRflILZ1mbHCYqSAvPH2+ZPnIAha1WFvEfAgkxGGLTnwJjKVtz69f/AjN5E1aYyVyBuZJW9lrOxtn1Zp8yNAZiPH4nlCnoF56ac8U6b74TWl2Y/r1Ct1mtW+nmaa3qftR/37Mvu6qOe0rj3tRuc9DjnfiHZ6f2UMloALIIqAAuG2st4krkQ00qcg5n5iIGb7svNsXw5vSkqY8mk36+fQI0BOBP3v3MH9y2DhzYu8Jb2Xk8hY4tDIy7sixDjuDZrQN4L6KQQOAAKR68TzVmlR+p7vTvL2fJZ9nnolnsU/aYl7mln3+vS9PE9dEm+37O3kX5lFtwFHzLtCgfCMUB4MDPdz9B0QRSBO6LcvM1ZMA8k7izZ5Kl4dBHpZcM47wkA2z84LlzncWfKWvNDKOVnN9mUGD3lLemjEFQqBQqAQOMwIrITBwpDojYl4V7jWKZAM+qFLh/d53EPnTde6F0YP78ysHRqlPILg6sW9DOWczDBys5XZfSFxUAq968gkL6A1K+SNrDkiX6HJdfhUXAgUAoXAYURgJQyWfmCPd8U9xkqmbygL9zL45zpKxX2GDmOFEvGWu9H25cMoKNWm+RAgJ5Ed57wr5EUgb4zkPr3n2ud1n6xmBX6MYzTClLbdrJ9CoBAoBA4xAofeYKEcoiDElIA3XorDG28WRerjKIOcJ69r+Rgr3PPycc1z8aPp6XseLaF+VgqBqTwwVnhXGCvkRjoZmcpJZM195+SNZyV5e3kLzZTHSgFdjS0ECoGVQ+DQGyz94O5tl7FCITBYGBxClIg4185z3+JGu4E2+kPDvozGoH5WFoHIjJjckDfGh7VS8a5EtgJSn4cskVPy5pDPtyjkzSLb0Cd/xYVAIVAIrAICh36XkMFdEFMEWWzbr12RnrfVKIMoB2necrN92RoCSgR9aJIHbYXVRoBcRJYYKlm7QmYSeprITmIyRdZMBTFSsqsoshbe4VVxIVAIFAKrgsCh9rBQAr0i4J5ntFAEDoN/0nva3CMEFA7l4Z51BAwdITS98mkJ9bOyCESGxAyMeFdMBc2aDooMiQVxjGNyZfuytVK9sRLalQW5Gl4IFAIri8ChNljyNio26FMGzhkdWWzruqeLQnCPwmGsMHJ4Vnx22JbUBDShz72KVxeBXpbiXTHtyFjJWqnIDLnJOcRcM6itW3GeT5KHZ2jFFQqBQqAQWEUEDq3BYtDvlYIdPllLkCmd0PR0EYIYK/IxVPodQVEiyZc8Fa8uApGlGBTkhgyRNQZyZEUsxADJNWPF/60wjskamZsaOeG9uihXywuBQmCVETi0BksUgpgS4F2hHCiQeEmiREJLEJxTNjwr1rtQNv0OjdAk7yoLT7X9bgR6GYp3hZzFm9fLS2hzDz15Y7QwVshbjBUlhO7u0uqsECgECoHVQ+BQGiwGeIcgphAog7jnozCkT88ZN3YDeTueGitRHInlr1AIQGAqb2SIccxT0qdF3iJDZNNXbBnU5M3UY76EGxp5KhQChUAhsOoILG2XUAbXDM4bAZsBezcHYbyzUFF9eEoYIhQCo2Warq7uofGtFbs0vOFmR5D0vn27WXdlVbgnAj3+90xd7M5u9F/qF28e+cnalciictGF1n2yxlhB69+XLQbvaUK7WAuLuhAoBAqBw4fAtg2WDKTihJxvpBCkhyZxaF3nPPy2E4evvPh5g+UtoUB693zSKY243ykOCkS+bCd13iuc7dSp8mwPgchE+jTxduQkedWkP98Or741eIWHmMHCQI43L2VJc+4gb2SKcexgpFhkyyOT+qEP3768Oi8ECoFCYFURWNhg6QfofjCeB8DpAJwBXN4M6FOaefj2NPLHwMCfEcJoYaxQCEmP0hALlEy2L9tOypXf16k/78ur8+UjEBkL5kpw3ofIXvqaoWDaTz8nX/rWdZ8/eUM3i39f1mbn4SFWl96bFwNkKmvoTBkxVuRjrKh3X6+e72blV1ohUAgUAquCwNwGS5QIYPrzXFMYBmIxjwZDwTckDNYGZufc3pmSSRygM1iHnwF70RAeyctQoUBcpy6pex+r73T7cngkDv2idSr6+REIxjB3LgR/suUeo8TWX54wSl//Sgtd8pGvfDeHtywLWcnjlHZWeZvVOmUkn2vn5I3cW4MSg1fdEtA51FkbhFnGivvh6bxCIVAIFAKFwDBsabBk4MzgLBbct5vGAH3nnXcOd9xxR1P6lD8Xt7dLA7hAeaClbNznwTBff/zxx68bMj3flmn8Sdm5nhWjEfr8OVemOig/H4qLcgtvNAwq9abg+kWP+Ez5z6pD3ds5AumPKd76S9/Y8vvVr361GSn6JYYH46A/ZzCHl3513HLLLa2CZO6kk05q/Uwm5EMbekT9+UatinwlPXJCvskTw9wR3uhSVowV7WJEMaQTwsf1tIzQVFwIFAKFwKoisKnBksFbLGRAZaRQHjfddFNTJAwQyv6MM85oA7XBOYaBfOHjnPLxdnzbbbcNX/jCF5rxcuqppw4nnnjiUV6Q5Eks76wwHdiVLVBc6ik/d3t2XqQN6NDwrKBDow0UmbpHwUz5z6pD3dsZAuljsZA+0i+33nprO9zXN/qJ8enQpzFY+rxo9SFjVR/HkNDXjGtGM5ljMDuXt8/vfLN+72lDF3lTH3KU4DoBLTpGDWOFcRx5TZvDL3kqLgQKgUKgEPgaAl83Dr5f0xITRDJoJ5ZMgXhbvf7669uA7o3VkYEYzQbsJLWQATkDNdc474yB/PTTT2+KhDtdSNmJ283JT8oL3ySrq7dy9+9973uvv/HGkFI+5eUN3Nswo0vchynPPq3O8Eq86gAAF6NJREFUl4NA+rbvRwYGg/aGG25ohTAqHOSC0YJ2mm9WbfQfOn2t3/FlMDsYDQwLhgv5CI08ybdR/+MlyPP+97+/ye03fdM3DbfffnszpO5zn/s0Q0p+z8tHP/rR4Utf+lIzyB/+8IcP3/Zt37ZuHKd+ac+sdtS9QqAQKAQKgfFldhwojzJYcjkdtHlTvvKVrzTD4oQTTmhviAZuhsZ0YJ/mDc8p4O7nDTleF3nPPPPMpkiiRMThMS0rBoj7PDaXXnrpcPHFF7d6eaO2RsARXnnjfdOb3jTc7373Gy688MJmrHhzxwM/tBV2HwF9CvO+b32ThKHCkNUnjEiGin6LoTCt2ZSH9PAMbcrStwwXBq3pGV6Yk08+eTjllFNaeb08JU94JCbzgjrd//73H57ylKcMv/u7v9vql3KVoy1Pe9rThquuuqrJNCNM2e9617uGxz72sa3syKM2VCgECoFCoBDYGIGjNHMG6ChusQGdIXD11Vc35XHWWWe1t0NvqFHuGWzF/XmKzf3E7juPEYEX5RTen//854f/+Z//aW/CoUneKIQpb9ef/exnh5/92Z9tSaaYTjvttOZ2d0NdKQf53/a2tw0veclLWhmMmXhW0v5pGY1h/SwVgSnWrk3/6HfGqykT3juxvo+x4jwhMuG6P59eSyNHAmODl0a/488YYox/8YtfbNOD6NQl9WuZJj/4SResicHzYx/72PA7v/M77TmJEfJv//Zvwyc/+clB/M///M/DZz7zmeERj3jE8M53vrPln9WmSVF1WQgUAoVAIXAXAketYekHYgM31zkF4m2XN4JiZ8AYrKMAMrDLO28IbZ/X4O2a98b0DCViF8h5553XlIp0+ZK3Lyt8rAmQ/3Of+9zw8Y9/vPF53vOe16YT5Df19PM///PD3/3d37VpANMB2oTnZvz7sup85wikv8QC7G+88cbW54wJ/ZjFqIyBXtbQz5IB92eF0KasGCT4mmZiXDhMDZq2IecMGXVKCI9ci3NPXS+55JJmjGgDY+TNb37z8H3f933Dfe973+EP/uAPGi+8yRt6z1BCsMh1xYVAIVAIFAKzEVj3sBg4cxiMucuvuOKKNpAbeC1y5AkRMug7z8DtfNGQvMqNUjKYUyDKVN6VV17Z3rilUyKpY19W+KijxcAveMELhssuu2x45StfOTz3uc9t6wjQmGowFUDBPOhBD1pXSnhKdzivsLsI9DjDW784GBA8Krwe6edlylpfbviKGRGMZAY6w8JUjvtCn8d15COxdPV+4QtfOHzqU59qU4zPf/7z2xqcBz7wgcMTn/jENg10zjnnDB/84AfblOUP/MAPrMub/BUKgUKgECgEtkagjcoG3wzMYvPsvBQMBjt/hLzp9nRbs5+PoudJUTBMHKZ01E1dGBpJC/1G3B/5yEcO73vf+4b3vve9zdPylre8pbXP4so3vvGNbf0A46ZXSngFh4341v2dIwDjHPrRotSbb765KX1Gg6lBsiakn8XLCnjN4msBrvKVfc011zSvYk+nzkLqkjQLt5/85CcPT3rSk5pn5q1vfWvzFv33f/938xhZiHvWWWc1eXzpS186MGae/vSnt3IY5uG3rPYVn0KgECgEDisCR6KkExuwzefzsDBWolwo9+mgvUxQMnArI4aEczuHGC/W0TCgUo8ojL4O6kzxvPzlL2/x4x73uLYg8hOf+EQzeORh+GgjXvimXHz6855vnS8HAf0JY7jrR1N0pv4obsYCIzI06YvEy6nB3VzwTVnuOic7PDzkyALzTH+GTpxDfgcadXc/8omPtgkW877qVa8anvOc5wwvetGLhle84hUtj7yR5UZYP4VAIVAIFAKbInAkA3eozMN7K4xnpR+s0e52SH0SU26MFutorrvuuqYY1CH1Sn2iMLjnrYPgJXJQHgwUaxQoxuwYoiz2oj2pX8V3e0xgzyjgWaHkGQnWEunD9Kt4t0NkLHKgTNNRDuunbN+PUdHXCz25VHeyRd6yHibf9UFjqul1r3vdYEfaG97whma48CDN8u7tdluLfyFQCBQCxzoCzcOSwdjcPU+Gt0LK3WA8HdT3osF9mfGCqJO3XsZU0nul5l68JpQHQ0VsTQseWcyZRbZ70Y4q424E9FX6S8xYYYRS6pS44H76VrwXoS8v5TOgsh7KlE9okq5eZIpxYjeaXWef/vSnW/0t8jaV+ZCHPKStAbNzyPqVxz/+8W23EG+fXXB44SGuUAgUAoVAIbA1AutTQpS9uXuDNWXP1Z2Beq+UR1/dvmx1sWuEd4SXxeLIpMuTwZ+SsSX2l37pl5qx8u53v3t4z3veM1jkKC8DJm0pD0uP9u6fwz3GJ8PYlAnjkaylL8U5dr9Gd5eQ8t0hS5miYrDzOPYhBgbvnXOLhW1tfuYzn9kWitv+b2fQWeO6FduYGTW2NJ977rnDox/96OExj3nM8Pa3v721E//w68uo80KgECgECoF7InBcFAQF4suwBlYGgiBtP0PKN6irEy+Lbda+12EXUQI6CoSxgs46FUqEEWaRoyNelrSN0SNPgjJSXu5VvBwEopQZifqB18KUUL4Im3T471c/pO9TPuOXkayevHo8KUkTkx9pH/nIR1o77C669tpr2zb8Cy64oMnSM57xjOF7vud7mqcSPUNIwEvg9atQCBQChUAhMB8C7Uu3FPt//dd/tQHUd0wyFYRFBvL52C2finIQxAZ8yo5B8tCHPrS9oVOA6mt6wUEpmmbwETlKx/Zlu4P6oE0MNAop3/uIMurp6nx5COgnfcO7QrnrA14vSjtpB6EP1CUyz7hlHFtUe/75568bLIwPxj1a0z9icql9aMVC+CwPxeJUCBQChcDqItBGVgtSDbi9sWKwPQgDbuohZpioIzc7xSdQDnnbNZ1lsTBD5Ru/8RuHhz3sYes7OND2CjH/FO2+cBDa+rWaHL7fHndGJYPTwlbGStISL9p6+aZHeLi/SEgdEqtfvCzWQpERaTxzjHxrbzw71uNYpEsWI6/KRcuYmR7uJz3n7Ub9FAKFQCFQCGyIQFvD4lsY3nZ7pb3dgVS+5M15f71hTTZJSH4kznlM/C8LA4YyYLC4zwMTT4v7DJe44eWNwgmfKV/3KywXgR5jUygUvLUr+kZIei97i9SgNxD6czwW5Zn8YvUSM6wYKOTKNUOFweXcmijn5JCx7GC0kL2Uj869/nCvT28X9VMIFAKFQCGwKQJH4vb2OXIDr8E0x6Y5N0hM3gz4eevM9QbZNr0dnmJ1VFfrCvKmS4lkasGbLiPFtBCFIvT5nff32sVdNDmveHkIwDt9z2CxzojBoo/cF9Ini5Qqbw4GQgyC8MSrP5+Xtzyps3OGlesYxWLyxvNC1rSJUUPe1EFd0IeHuEIhUAgUAoXAzhE44g2R0WLQ7QfrRVlHOYgzaGcA79MW5Rv6vm6UBcPF2zqjRf2VRZlQEN50s1VW/iiP1CM8K959BIK5mHJ3MCT1V9+ni9Qk+fQrWcOP8fChD32o7cwJr5Sd63niyIo4BwOLnFm3QtaUSf7ck9avxUme1HGeMoumECgECoFCYGsEjli7wliJkbGdgbbPg4+3Z0rk8ssvH97//ve3gT7rFbau0myKXpFQFt5oKZC456NI3NeeKI4+n/MKe4sA2WCc6J9MB8W70vfRIrVKP5I1BgMjyFbhl73sZe0/pMIrdLmeN5ZPvSPXylB/00K8KzGOyThvX7x7aU/yzVte0RUChUAhUAhsjcBxBuGpN2LrbEdTZIB3lws9xsrP/dzPNdf5ox71qLYlmQfEYL/dkHIoBHW2+JYyoQApL8ZKvuuhjNCLK+wPAumDeCQo9xgsarQd5S6PAy9/0On/oS699NImW9Y3bYfnFJ3Um7ySafVnHJNtsuYez4o45SVPydsUzbouBAqBQmDnCBzJmgKD7naDvA6KyO6d17zmNcOznvWs9sd2vpcSg2KZAzlDxTQA5SEwVBwUTBRI4u22q/ItB4FZ/Z57iRcpSb/yeDAYfu3Xfm3w9Vh/eIkXD8h2eE7Lx6M/yBneDBfyrGzGSwLakregUXEhUAgUAstH4DjudB/w2kkwUDtMxVx22WXDq1/96vbBrCuvvLIZMBn4d1JGn1dZDBYKJOeMlUw7lfLo0ToY5wwMaz4o+5142bRG/+LBY/eEJzxh8KE2BsQP/uAPNkMm/b+TlpOrhF5+lUvWpl5J9OgqFAKFQCFQCOwOAm2XECXSD9CLFpUBnQI588wzm4fF/6t88zd/c/OC4L/MoK6Mk7ztWmSbt93UpZTHMhHfOS99pr+Encia/PpW/1sT8+IXv3i46KKL2q4x/KXtlH/KEOOV8vAnZ+Qt5fQx+gqFQCFQCBQCu4PAcVEiBt7tBnkdDJYHPOABw4UXXjhcM/4vkemmZRsr6pjysm6FEqFYHP2U0HbbU/l2D4H03U5KiEGir32PR/8zYPAWxKHZSTl9Xs+J3WllrPSo1HkhUAgUAnuHwJEM8jsZ4OV1UCCmmHzO3PlOPTebwZD6cs8LrqOo0qbN8lfa3iJAFhgVjMz03XZroH/Txxa99sbKdnlO86WOkSnTj6aBTEVqQ+qQekzz13UhUAgUAoXAchE4EiWyk4E3g7eqMVR6BZK0KIBlVB8vb7yzytlJO5ZRt+IxGwFywbiIwbJsedDv+CtnGbzxC5/IlGuH6z59dovrbiFQCBQChcAyETjirdHb4zJDBvO8VYd3FECutxvjr879uhW8lsV/u/WqfLMRiJKPMZFr1Dvts/DKd17sHCMfO+UdvmK8Gce8K5HtpLeC6qcQKAQKgUJg1xE4Ln/uJjYI7zTgkcHch938aVz4RpHstAx8rJdhbFGCCcviH34V7xwBfR/viv4iE7xj/fdLdlIK3vj5V+4Pf/jDw+mnn74UeUu9xXY3MViyVoqclaztpNcqbyFQCBQCiyNwnO2gjIoEA/ROBmMKhNvf2+hrX/va5gk56aSTWtwbFylvkVjdBPXzEa973eteS5sCWKQeRTs/Avoqyj9fVOaxEPr+nJ/j0ZThT44f+9jHtjVUjFn3HdsJeQbEDt48BpYPE26X53bqUXkKgUKgECgE7kbgCKVP+TMmMlDfnbz4WRQIfueee277Rsay3qajLPCOweJeyly8tpVjtxFI35AtXjwHjwWvSJ+23XpEZhlB/mYixgp+0hYN4Ze84vz/kbpnDc6ifIu+ECgECoFCYGcIHPFmarDPQG+AzmC9HdbyRhExKmxtzq6KnfJN3bzxUnqMrZQlrnDwEEif6x9eN16W3mBR4/ThdmqffhdbM5Xr8F2UZ+oiduS5YKz0aYvyLfpCoBAoBAqBnSFwxCDv/1f8p9AyvCwGdSEDPp79ve1WN8rCWgJ19adzPDdCjKTt8q58u4dA5EAf6S/fMWFwZlpIyQel/9Qjh3oztC3itfbmhBNOWK9n5Hn3UCvOhUAhUAgUAlMERnviyHDaaae1PxLMQJxBe0q8X9d9fdTR/xWdfPLJRy3cRFPhYCKgz9I/DE1Giz+uZLTESO77eL9akXrmOeBd4Q1isFi/IoRmv+pY5RYChUAhsKoItC02xx9/fBuIKZEokIMyMFNkqYu6+Ry7e+osJD1KZlU78qC3O31oSojBwhjgaRGSlni/2hJZUj7viulMXiH/tSUt6SVr+9VDVW4hUAisMgJHDMKmWfyr8u23394MFoBkcN5vcHolpp52NPEIWQ+ROoorHGwEouT1FWPTF4pN7fGySEs/J97r1qhX5EgdrL/iXVFPU6bS9qtue41FlVcIFAKFwEFEoBksBuJTTjml1c93MqxryQCeQXw/Kt/XgbGibhScuqaO6u6ocLAR6BU+D4ut7nYK8er1i7J7ur1qUcpUHlni+VEv311hHCe9ZG2veqTKKQQKgULgngi0/xIyIBuczznnnOZloUD2e2ooSqKPeYB4gkwr9Pfv2ay6c9AQiLIX6zvTLDwtFrXaNiwkLX27F21IWYnJPmNFYBgzrpImrlAIFAKFQCGwPwisGyyKp0S8+d54443NYIkCSbxXVewVhLJ5U2666abBFmxvvEJopFc4NhBIn4n1KYOA8WlqiNGiLyNraBy7Gfr6pBzrVtTF4uBTTz31KO9PyVpQqrgQKAQKgb1HYH1KyOBt2uX+979/G6Rvvvnmdh3FEUWy21XslUjqdNtttzUlom7959GlVzh2EIgMJea9OOOMM5rxYueXdSPSkp542S3cSKYt6GY8qdeZZ555lFGsLhUKgUKgECgE9g+B5mHplYTFrOeff35zizMU8pXa3pDYrer2ZThX9h133NGO8847ry2ADE3qvFt1Kb67g0D6TWz6xbQQo0VgLDBaTEdKT1+LHTsN4YO3kKnPrKVRPi+eqVHPgZB6tIv6KQQKgUKgENg3BL5uHMSF9YHZOYVx6623DldccUXbIeGbJxa7Jk1tk2cZNe95USICY8WOIPW44IILjnLPR4lE8SyjDsVj7xBIf4tzzjC99tpr20Jc3zwxVUQOyYN+Tp+r5aL9row+X3jibycQz4q1NIyVs88+u313JTR9vsakfgqBQqAQKAT2BYFmsCg5iiNKJEbLVVdd1Twb1htIy0AeBbKo8pi2cla5yr7lllvaB+J4VqxbWXa503rU9d4iMKvf7QK7/vrrm3fPdmJGi4+29XKXWs4jfylDHue5lpdXxbdgrFlhtDDKs12+l7WUV3EhUAgUAoXA/iKwbrCoRgb0DO4MB2sLrr766uZhMaDzfBjs0UhPSN5cbxX39FEQFmLibdGvdMaKKYOkz6Oktiq30g8OApEBsYM8mRJirFpkTdb8h4/pmUzRoFs0pBz8yZJFtY58dt/i2hNPPLGtpSlZWxTdoi8ECoFCYG8QOMpgUWQG9ygGRoLB/brrrmuH3RO8LQZ2xoV0IXHyt5uTn6SFt2TnDBXKxJoZW5dPP/30tugx25fRlbEChcMXeplwHqOCtyVeNoYLg8WCa4fF4UIvRxshE7nhTTGtyZtCngVGip1xpqB6XskTmd6Id90vBAqBQqAQ2DsE7mGwKDpKxDnDhBJxj0HBcDHn7+ufjqT1xot8WwXKIHnvvPPOtrCWgeI7K7ZWM2LqbXcrFA9HeuRtajT4gJuFsLwtZI6hQi7EjBgylDh5Y2SQHfnJJUNFzFiRn6HiIG+up3lTn8OBbrWiECgECoHDgcBMg0XT+kG8H8AN+hZI3nDDDc0bYqGiw5qDfvDv4Ul+cd6grR3wgS7GCsOHV8U/4vauf8qnr0fPs84PFwKREa3q+9w5g8NUEVnJ9mdyFKN3FhLyOWJI3+te92pyZssyGSOrs8pyL0ZPI6ifQqAQKAQKgQOBwIYGS2pn0J9lOHh7tQYgO3kYIN5847r35ktZyO+coSMPdzwFZG0CT4qDsYNGQC+kzFIeDY6V+Jn2fRodGYg8md4he2Kelxgl6COvpo7IIgOFrJHNGDmhE4d38rlXoRAoBAqBQuDgIbClwaLK/WDen0vjendQGpQHw8XbsHPrAygK3pi82Vov4IgCoUQS8BbKWAkiqxn3MhaZiFz0iEjr0/u00McgSVroc991zkNTcSFQCBQChcDBQ2AugyXVzuCeQd/9WYO9dEeMkX4tSnglnvJyPYtn6CteLQQiD72cQGARGZmVN3xXC81qbSFQCBQCxy4CCxksaWYG+1mKIDSbxRvlC9/N8lba6iIQ+ZjKzzyIMHCSfx76oikECoFCoBA4WAhsy2DpmxAlsKgSKQXSo1jnhUAhUAgUAoVAIbAZAjs2WDZjXmmFQCFQCBQChUAhUAgsA4G7V7wug1vxKAQKgUKgECgECoFCYBcQKINlF0AtloVAIVAIFAKFQCGwXATKYFkunsWtECgECoFCoBAoBHYBgTJYdgHUYlkIFAKFQCFQCBQCy0WgDJbl4lncCoFCoBAoBAqBQmAXECiDZRdALZaFQCFQCBQChUAhsFwEymBZLp7FrRAoBAqBQqAQKAR2AYEyWHYB1GJZCBQChUAhUAgUAstFoAyW5eJZ3AqBQqAQKAQKgUJgFxAog2UXQC2WhUAhUAgUAoVAIbBcBMpgWS6exa0QKAQKgUKgECgEdgGB/wdF2KlT1HnGLwAAAABJRU5ErkJggg==" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "从图中其实更加明显可以看清楚：\n", - "![bp_demo_bp_11.png](attachment:bp_demo_bp_11.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_12.png": { - "image/png": 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opwiG7zX55NE3gCIMoYiYlk3ME5Bo4NKPgEQ8BuCziJFRz+dcIgWjUS+qiHZRPEFwkCic8GYUhAabYG9H0e+7eHQzJvsNAYBDkId6shLpREipArlQsDZys5LYUJIPfIBs1QkeoqjjX4ZEFi7jkgYxIgYGIpP6MMZP5KbMOPep7zdcm7kZIOMTAH0a4otQ/NMzPvFEFmSDd2MEQUEuTidYcH76zz/s2BP+vGknjwQJwYVdhP/w7mSLXQJ9JwLjcgLe630BxQAOQeFSGh6NSf8iC0gFMGeZ81mE6LblllvWTx9EEWkPz2cwBEfxnAiDnICQMGZJ1QcwEvgsvQQLUtaH6fwTJ8A7HvCujnFweO8oRHknJtJFdAIREB82zxyaA/nYjmK9CWbw6u0D8MoYgCgItzRDsLFiwpOoJ53gZEowHlmkr5JxZXzqa0XPD1pcgpg0yLuC0MIYfWNGp3BwDuBZ+uc7MqumdxIiPf1aLQQFn4ywAbwnEHB8wNGMw7fLvgOQEVuIPWZcbRzHT2sngJNCLWGEgFiK5uW++bCEifIYlsf6xoeDSHEYicgBpAe8mgGJ8pQrCvF6ThSl83A4pUqiiguT5kZD88QEXvUzAmIgHNbF+YHUyOrgdT6afTbAsPCDF87t9ASfeAZkQh4usqBsPJMb/qRJ+nAMq4B6eHytqZ4DRbZkGBmkrJNMhx8ysLozXs5AL5ycXh0R2/eoIw/1UjmRfWR05UM3+qRO+ObUAp5LHWfGF7lxCg4m4Ags5CYQsz194IFPn/Cccjxsz/qfUWgzAHJLGaYQSkE80ReglM6rKVi7vpzAtyj6ElqWSU5iHO8V+Xiy1IABULZvxz2LFgTnS0LCwjQnjOL9c8mmMo6hnJGAH3MySvSKdD4MIyP8WuIpVtQiKwbjAztGa0V0iWoUbQxgJAzdeIo2h08ZGIQoe+yxx9bx8OlLjhxNSiHFsCJwBjKaXoA2YG70MXC6xD/dCYpWLE4c40ajFRLvaGMr0kIGzGbUifRkxibwTj5SKfJjC3g3ji3ox67g5UQCEefDu7rxwrikhdAjjjiiMkzgvBNjMUQKtDwCaU+8MkaB+F7QhxAOO+yw2oQRF2FgFJMch0Ng1rLpmYBFIc/wwxMF9c4xLZ/Dq0jIQTkvhfrCFpAHOpROP5oQJQka0qJ+Lxnx0WyDxziycM8ZbDbJglFQOhpEQ6vI9JZF8JMDG5Dy2Y9wcIB+dNrfNSG8qxP4XL1grO+VXAAePAky5pM20rc6zsER2QL+rSJkMRE7aB0+wzzCMBAHUA+a7fq4mhDhpI1Q0kebZxdmpTtSLNETo0D6xBAo2xEbhqUgcISG5nzT6z5CDj+ioQgYvtAP0JS6lGnL2NRHFsGtPku8OvdSDDgFGisDEC1FTQFBKSgIHsZMLwiN8KNTAOO04UU9PvOcsi3v4Tc8SBOl1ObBOzuwyggAAoFV0Wqar24zDh1tofW3Q2G+OUkMf1oaYeZpy4B+ExkzHvy9fTNfP1noO63kkXl6589zv/Z+dek/rcrmHO4D09IemnMEf7Ps196vrjlm0H1rJxiEoKvvJDCzS6B1OjSzM9rR30lgkAQ6Jxgkma5+aCTQOcHQqLpjdJAEOicYJJmufmgk0DnB0Ki6Y3SQBDonGCSZrn5oJNA5wdCoumN0kAQ6Jxgkma5+aCTw/2e44RUzGcZUAAAAAElFTkSuQmCC" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "得：\n", - "![bp_demo_bp_12.png](attachment:bp_demo_bp_12.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_13.png": { - "image/png": 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ysrKysrq6utavXw8nnD59Ojs7Ozc398SJEzKZbMmSJb29vTabraqqamJiwmazeTwelUplt9tDoZDH4+Hz+Vwud2xszGQygatLSUnJyMiAX6v+csOMMAqEofCmTZtAi87OTo1Gs27dOpqm5XJ5d3f33XffTVHUoUOHampqlEplf39/YmJiVVWVz+eTy+Xl5eVWq9XtdoMWPp+Ppmmj0dje3j40NARLQnNycrRaLcxZLlAFWBhz5swZmUy2atUqmqZ9Pt/g4OB9991HEERjY2NpaSn8JNzg4KDVai0vL8cwrK6u7rbbbuPxeKdPn87NzRUKhT6fb3JyEqxqMBhwHHc6nfHx8aOjo6Ojo8FgEMMwgUCwePFiiG+jAC/ihgC5UsQNSXp6+tTUFIZhFoulvb09PT29trZWoVDY7Xaj0djW1paUlLR06VJIGaVpenR0tK+vz263u1wu+OGUxMTEwcFBi8VCUdTo6KjX65XJZD09PadOnYKEIJIkg8Eg8zMpX+LwiAnwarVal8sFWrS1tWVnZ5eUlIB36e/v12g0OI53dnbK5XKXy0XTdFpamlAojI2NFYlEer2eJEnQwmaz4Tje1NR09uxZm83W2dl56tQpmqYDgUAoFJqRuHtlgEtLTEzk8XherzcSibS0tITD4Y0bNxIEkZKSQpKkyWTq7+93Op3V1dVqtdrj8eA47na7dTqdwWBwOp1OpzMajapUKpIkYXo7HA739/erVCqfz3fkyBGbzQaRap/PB6m/CxQbgbg2cJ555pmvWgYE4guj0WjGxsZkMhn8aFdZWZlKpVIoFCaTiaKo4eHhBx98UCAQ4DiuUqm8Xq/D4QAnxOVyCwoKpFKp2+32+Xz5+fkKheLYsWMJCQkbN24cHx8nSTIjIwMSTevq6mDd5Iz01C8FHMcTExPHxsbkcrnRaFQoFEuWLIEVqOFw2Ov1VlRUYBgWCoXC4XBKSkpubi5N0+Pj4xRF2e12kUik1WrdbrfH4ykuLqZp+qOPPsrJyVmzZo3FYjl37tzKlSshL2nNmjVCofBL2SAiMTHR7/f7fD6CIEZHR9esWRMTE4NhWGpqqt1uj0ajJpMpOzt77dq1FEWJRCKxWGw0Gn0+n0ajIQgiLS0tNjaWIIjJyUmpVFpQUODxeA4dOvToo4+KRCKj0ZiUlCSTyeBH5Ww227Jly66G5RGILx20RQPiBqazszMzM1MsFjPZp8xXs49c9CsYdL799tupqanFxcUHDhwoLi5OSEjQaDRer/epp5565JFH4BdOZu8muBDYazwYLWZseztjHchsX8g+oa+vr6Ojo7i4WCwWNzQ0ZGZmLlmyZHJy8mc/+9lTTz0F+9qzb74QmcfHx30+X3Z2Nsaa92XLNnvRzkVlhj7Ba6+99uSTTx48eJDP56enpyclJYlEon379rW3t//0pz+FX4tDYV7EdQ4K8CJuSGAxYlFREXggbHoCktl+YcaZAGxrAMdhJwFYYJqRkZGZmcnlcoVCocVigd8k6e7uJgiir68vFArBetMvUXhmPQxbC/Z+CMwOSiA5rEOlWNDTPzwOSuXl5aWmpg4PD3d1daWnp9fU1JAk2dnZyeVyu7u7IZdnISowMlMUlZSUlJ2dDTIwaUps2cCtzrY843eZ4K3P56upqSEIIjY21uFwhMNhmUzm8XhMJlMoFDIYDGhIirghQKNSxI0KewOBK17If5kXfukbBcxYfIItTAtsloSzb7VwFRhvCv9+uQLPdRxt0YC4IUCuFIFAIBCIBYECvAgEAoFALAjkShEIBAKBWBDIlSIQCAQCsSCQK0UgEAgEYkEgV4pAIBAIxIJArhSBQCAQiAWBXCkCgUAgEAsCuVIEAoFAIBYEcqUIBAKBQCwI5EoRCAQCgVgQyJUiEAgEArEgkCtFIBAIBGJBIFeKQCAQCMSCQK4UgUAgEIgFgVwpAoFAIBALArlSBAKBQCAWBHKlCAQCgUAsCORKEQgEAoFYEMiVIhAIBAKxIJArRSAQCARiQSBXikAgEAjEgkCuFIFAIBCIBYFcKQKBQCAQCwK5UgQCgUAgFgRypQgEAoFALAjkShEIBAKBWBDIlSIQCAQCsSCQK0UgEAgEYkEgV4pAIBAIxIJArhSBQCAQiAWBXCkCgUAgEAsCuVIEAoFAIBYEcqUIBAKBQCwI5EoRCAQCgVgQyJUiEAgEArEgkCtFIBAIBGJBcL9qAa46JElyOByj0Tg4OMjj8Vwu15IlS9RqNYZhOI673e7f/va3FotlzZo1KpUqGAz29vZardaXXnoJwzCapnEc/6o1+P9VaG1tDQQCXq9XLBZXVlYKhUKQrbu7+ze/+U1aWlppaalAIAgEAidOnCgrK3v00UfD4TCfz78GElIURRAEhmGnTp3i8Xg2my0lJaWwsJDH49E0jWHY/GZk7PxVGRzKBVHZwEFGJOa02WfCycxNmNNmH5xx57luxbbbjHOYb9nHmYJm35N9/KLFwbP7Qsa/TIvNPnkem7BvMlcR8+uIfd44s20y22Lz64LNYfzL1/2K+aKlzDiffdo8N5nrK2xWtbmcCja7LPbBhRh/hgBz2Oyr5GvuSqGJ93q9nZ2dGIbV1NSYzeY///nPv/jFLzAMi0ajUqmUw+GUl5dv3bqVpmmBQFBdXX369Gn2TZiHTVEUhmEcDueaPU6oSQRBmM3m3t7e4uLi8vLyw4cPv/vuuw899FAkEuFyuZmZmRRFbdu2LTc3lyAIgiASExNJksRYTSQ2Xd0pisJxnCCIq/HOj4yMDA8Pr1u3rqio6M0337Tb7Rs2bIhGo1wuF0xH0zQjElxFEAR8BQej0ehvfvOb733ve0qlcvbbCxAEcZXarBk3BMHYXzF/5yma3QSAshjL+DMOwl+mI8IumjEURVEcDueiBc3lsWYrcvmSXw6XbzHmA6M7c8mME9g3Zx79bMtg81qMbeQZBbH/ssua64bs2160IKYyz/5q4TWTXefnL4Xd5YIHPdvC89wEu5hNZji5Gfe8Aptgc1RX5oYXrZnsguBbGFRcjgGvPV9nV8o8KhzHy8rKZDKZUChUKpWTk5NWqzUxMRHHcQ6HE41G4+PjpVKpy+UaGBgoLCxcu3Ytcwd2a848xWvmRxkVhELhunXr1Go1l8vl8XhmszkajTJOhabpjIwMqVTa39+vUCiWL18+NTWFTbfa7BfjS1eBeX8oilIoFDfffHNcXByGYRRFmUwmbNr+THHwejD/sp0rQRBut9vr9fJ4PPYbO/t9/hLlh1vBK+p0Os+dO0cQRDQapWn61ltvxT7f1jOnvfrqq83NzUwLwuPxCIJ49NFH16xZE41GORwOyP/CCy88+uijUqmU0Zqm6Y8//tjv9+/cuRPuBoqfOXPG6XSGQiGj0VheXr5ixQqmh8HhcP71r39xOBy5XK5QKLKyslQqFUmSn3766csvvyyVSiORiFKp/N73vlddXQ3Sms3m1tZWPp8fCAREItH69euhIn3wwQcffPDB1NQUn8+H+3O53LKysp/85CdfqHfCWGxiYuL8+fMcDiccDhMEcfPNN8+w2AwXPjg4eOjQobvvvlutVlMURdM0h8Ox2+1nzpwRCAQulyscDu/cuVMgEGAYBjGV3t7eM2fOpKenc7nctLS0jIwMsNjZs2cnJiYIghgfHy8sLKypqWFXLb1e/9FHH23bti05ORk6c5FIZP/+/X/961/lcnkoFIqNjf3+979fWlpKEEQkEuHxeKOjo0eOHMnIyOBwOKmpqZmZmdDV6+jo0Ov1QqHQ5XJlZWWVlpaC7jiOf/jhhyRJGo1GLpe7Y8eO+Ph4KGvh3pRd50+ePOnxeHg8ntPpXLlypUajYXsUtqlxHA8EAu+//35ycvLatWtBL3hYx48fj0QibrfbarVu2LAhLy8PbhIIBI4dO8bhcPx+v8Ph2LZtW2xs7Awn53K5Xn/99SeeeIJ57h0dHd3d3SKRKBAIZGZmVldXM8Y/efIkND7j4+OVlZXl5eVQJU6ePPnb3/4WjCMQCB555JG1a9dyOBwQ0ufzvfPOO1qtlsvlajSanJwcLpdLEMSFCxd6e3tDodD4+PiKFStWrVo1V6fnK4fzzDPPfNUyXC2YoQCPxxsbG7tw4UI4HDYYDC0tLUuXLlUqlTDaO3HiBE3TBoPh9OnTWVlZarVaKpXSLGBY4Pf79+zZ09HRUVxcDG7s2sjP/L1w4cLAwACXy21tbXW5XKtXr+ZwOCRJXrhw4dy5czKZ7NixY5OTk1lZWdBpgJtQFAVtFjQ6f/nLX0QikUaj+bJUwKeDM9AkNTY2GgwGgiBOnz4tFosrKio4HI7BYDh48KDH42loaCgpKQmHw83NzXV1dSKRKCYm5vz5801NTfn5+V1dXfv3749GozKZLCEhAbQD+xMEQZJkQ0PD3r17a2pqvlC7Pz9MV8DhcJw6dcrv9y9ZsiQ2NnZsbGxkZCQ5OZkdo4YzXS5XXV1dVVVVSUlJXl5eSUkJhmHp6ekrV65UKpWMf21qavrrX/+6fft2kUiEYZjZbG5oaDh79mxjY6Pf72c3Ch9//LFAIMjNzU1JSfF6vUePHsUwLDMzE759+eWXtVptcXGxWCx+7rnnwuFwWVmZ1Wo1m815eXl5eXlLlixZu3Ztdna2QCDAcdxisTQ0NHC53PLycoVCMTQ0ZDab09LSOBzO0aNHZTLZihUrcnNzS0pK4uLi+Hz+6tWrMzIysMsO8DIWm5ycbGhoCIfD1dXVMTExOp1Or9enpKRAc4mx2uJgMNjS0lJXV9fV1dXU1LR27VqZTAZ9jvHx8cHBQa1Wm5GRkZSUpFQqT5w4kZGRIRAIOBzOp59+2tPTU1tbm5iYWF9f/49//OOOO+7AMKytrY2iqJycnOTk5NTUVIPBoNfrFy1aFAqF2tvbT5w40dXVdfbs2eXLl6vVaihoYmJifHx88eLFeXl5S5cura2tzczMFIlE0WiUx+PV19efPXt2/fr1SUlJra2tL7744s6dO3Ec7+/vb2xsTE9Pz8vLIwiiu7s7GAwmJyeHw+EzZ87k5+eDd+/t7W1oaEhMTIyLi1v4yImejmpGo9HW1tbu7u7KysrU1FS/39/Z2SkUCqEjwvTywdRDQ0MnTpxobW09depUTExMSUkJSBIMBvft25ecnLxo0SKw1YkTJ1QqVVJS0uTkZFdXV0JCQmZmpkajSUlJqa+vV6lUcrmcHSs6ceLEu+++e++990L1aG1tPXv2bGZmZlFREYfD6e/vxzAsMTGRoqi2tjaCILKyspKTk9PS0gYHB202m1ardbvdIyMjWVlZ+fn5FRUVtbW1ixcvlkgkJElyudz+/v49e/bU1tZqtVqz2fyf//mfq1evVigUzc3NOI7n5uZqtVoej/fRRx+RJJmbm7sQ2149vuajUuj27t+/32w2wwvc29s7NjYWHx+PYRiO4319fenp6atXr3Y6ncFgENqvYDAoEAjYngbeN5IkR0ZGsIvNPVwl+Znm+5VXXikpKcnOzhaJRIODg+AIaZqORCKDg4OrV68uLi52OBxpaWnx8fEURYXD4RkqkCQpk8nMZvPExMRlqsCOMtFzRFaZvvPU1NSLL754yy23xMTEEATR19cXExOD43hnZ+fBgwdvueUWoVDY2tra1NRE07RWq/3kk0/i4uKys7O7urqi0ShFUSKRyGazbdy4UavVEtNAKeB1lEplb2/vXNHFKwPH8Ugkwufz29raGhsbn3jiidjYWAzDJBLJD37wg8rKSrFYTFEUl/t/3xQej1dVVbV9+3ZGvI8++igjI0Or1ULjRRBEKBRqbm4Oh8NMSEAqlebk5MTFxY2MjLCDjTiOHz9+XKvVlpSUQBP24YcfHjx4cMOGDaFQqK+vz2Qy3XPPPWq1miTJrVu3JicnYxgWjUYVCsX69euZPhOGYTA0rKur0+l03/3ud5VKZUJCAk3Tzz777OrVq2maTk1NveWWWxYtWgTnj42NnT9/fs2aNbNDBcxzxzBsRtCSsdi5c+cuXLjw+OOPQ3qOEekAACAASURBVOYBn89/+umnly5dKhQKmWADXMXhcFJSUkQiUV9fHwzEseloZE9Pj81mW7lyJdw8OTl57969wWBQJpNZLJaenp6srCzw9KtXrxaJRCDJkSNHHnjggYSEBLhqcHAQZhZwHE9KSuLz+cPDw0xBjHFiY2M3b94MQ152vQKPolAowDIrVqwIhUJgh927d+fm5paXl/N4vNjY2KGhoX379i1ZsmRycvLw4cPPPPMMVIwdO3b8+Mc/PnLkSH5+PvT/FlI5mZCMz+fbtWvXjh07MjMzMQxTKBTPPfccRVFZWVnRaJStCIZhMTExBQUFdru9paWFZs1NhkIhqE4lJSUcDqeiouL9999PSUmpqKjQ6/UtLS3f//73mZvs3bt3amoqNTUVruVwOB6Pp7W1lZkjIAjin//8Z1ZWVk1NDZ/P12g0w8PDb7/99u9+9zuKog4dOvRv//ZvCoUC7tbR0aHT6VatWhWJRIRC4ZYtW2Qy2Qzje73e9vZ2iqLy8vKgFm3dulUsFtM0ffr06eLi4rKyMgzDtFptf3//rl271qxZI5FIrti2V4/rcaT8ZQGPqr+///z58wkJCTk5OfHx8SKRKC4uDh4GSZIdHR0ajaasrGzlypW33HILhCXdbjeO4w6Ho62t7cSJExCo5PF4Wq1WLpdj1zDAC17q+PHjJpMpNzc3MzNTKpXKZLK4uDho7ILBYE9PT3V1dUZGxu23315aWupyuYxGI0mSOI4bDIZz586dOnXK4/FgGCaTyVJSUuANnF8F+vOz/QRBQESLfZx9QjAYPHLkiNfrLS4uTk9PF4lECoUiKSkpGo02NTURBFFQUJCamqpQKDo7OxMSEvh8fmJiYlpamsFg8Pv9FRUVBEHExcU5HI7y8vKkpCQul+v1ent7e+vr63t6euBRpqWlgeKXlP8LGRn+Dg4OOp3O2NjYUChEUZRarTYajUajEZ+eWsamA+Zyufymm25i/OiZM2diY2NTUlKYWTqfz9fR0VFZWcmeJJbL5dnZ2WVlZQqFgt3E0zR9zz331NTURKPRcDgciUREIpFAIKBpempq6rXXXlu9ejX4Kg6Hs3PnzqVLl2IYxuPxKIqCFh8gSRLau66uLoqilEplIBCgaTo2Nlan01mtVhzHly1blpSUBG29Xq/v7e0tLy9nxh8zni8oPiN0wY7W9Pf3+3w+tVodDAZpmk5ISNDr9SaTiW0xeExcLjc5Obm4uDglJYX5Cm4yMTHR0tLi9Xqx6fh5IBCAAPvevXuj0ejq1auh6MLCwgceeACE7O/v7+jowDAsEonA/UFZDoej0WiKioogIMzM3cJzIUkSzmcsFolEOBzOgQMH7Hb7xo0b4XhmZubDDz8MF7a0tCQlJUEEkiAI6A3QNO31euvr67u7uymKikQiKSkpKSkpg4ODwWCQGZQvvE56vd6Ojo6CggKapgOBgFAoDIVCAwMDMFPDaAcKxsTE5OXlFRQUQOePeaAikejBBx/Mz88PBoPhcJgkSbFYDEJ6vd62tjar1cpYMhKJRCIRJhTncDgGBgYqKysZjQKBwNDQkFqt5vP5wWAQXtuuri44oa+vr7u7m7kbPE1GqWAwyNYxEokQBNHU1NTY2LhlyxY4rlarH330UYVCgeN4e3v7mTNnwMI4ji9ZssRms+n1+oXY9urxNXelOI6fO3dOqVQuW7YMwzC32z08PPzAAw/AVxwOZ2xsDDpK0OukKAoik36/f9++fT6fTyQS1dXVDQwM0DTt8/mgGcJYE5mzYU4gSTIajZIXA45D6BWbY4zIjL2OHz8OCcYYhnV3dyuVSkiSIghCJpMNDQ1Bb1qhUMjl8uHh4cHBQbFY3N/f/9lnn8Es5scffxwIBCiKCgQCbBXmMh3bXYXDYZvNNjw8HI1GZ8jG2MHr9Z49e3br1q2Q7tTY2FhSUrJixQqj0eh2u2HMQRDEqVOnSkpK0tPTDx06lJKSkp+f397e7vP5SktLbTabzWYLh8NSqdRoNIZCoWPHjg0MDPD5/L6+voaGBrB/JBKZy2jMwWg0evlmh/YXJoTYzRNJkgKBYGxsjCTJGY6Bz+fD0J8kyXA43NfXp9VqVSoVVKpIJGK326PRaEFBASMV3JAkSbfbzTYjfFVdXb106dKYmBg+n9/e3h6NRiG66Pf7W1tblUpld3d3d3f3yZMnfT4fDINAJLPZ3N7e3tHR0djYyOFwBAIBRVEej4dRBJuecRwZGaEoKj4+HoaMNE0bDIZwOLxo0SJ2ihPz3KHtNhgMBoMBnimjCGOxqakpdkGhUEggEIyOjkI3jv2MoGmORCLgdBnfhuN4UVGR1+v9+c9/Pjg4yOFwTp06VV5eLhaLwY2FQiGPxwMK9vT0MBl/K1as+Nvf/vbGG29wudzx8XG73V5dXQ1OhaKoaDQKtZ3d3wKRTCZTe3t7e3s7TPFC9L69vd3tdofDYTh+4cIFkM3n84VCITiH0Sgajdrt9ri4uIceegjiLmC9uebw4Kp5mgLmK3adBF0mJiZIkoQkfFAN1iAEAgHGYTMNEdzK6/WC/bFpL8vn81etWlVaWiqRSPh8fl1dXUZGRm1tLY7j6enpcXFxP/3pT8+fP8/j8ZqbmxctWqTRaECpSCRitVp5PN7ixYuZSgs1EEJ0MHkklUpJknQ6nQRB1NTU/OlPf9q9ezfMqXm9XpgrhYj3xMREe3t7Z2fn2bNn4f2CLqzRaBQIBO3t7RcuXGhsbCQIArS7/fbbly1bhuM41Hl4E6/NMOYK+DoHeMHoqampTqdzampKoVDAc1q7di1BEB6PZ2RkZHBwsLCwUKfT+f1+p9M5OjoqEomkUmlzc/Pk5OSKFSswDINZkMWLF8Nw4ZLRRaYeX/6UyUXvxkTJsrKyXC4XRVFms7mtrS0zM7OgoACqb3Nzs9VqHR0dFYvFoVDIZDINDQ0tW7YsFApduHBBKBRWV1ePj48fOnRo48aNUqlUKBSKRKJLqsCE4DgcDjTEQ0NDEGXCWK0qNv26CgSCjIwMi8WC4/jIyEhfX9/KlSsTExNNJlNycrLJZNLpdOPj43l5eZWVleDJQqHQ0NDQwMDAxMSEzWaDlkitVvf09GAY5vP5RkZGbr311uzs7D179gwMDKxdu1YkEvH5fLDq7JaLkYcdjL2k2ZmJWPBA8K5CUyKXy6empsLhMLgfjBX5hDkeDMOOHTsGA01ovwiCgFpUVVXlcDjoz8dFmcH9DFNDS+pyucBlbt++HYJabreby+VaLBbwXqOjo263u6qqKi4ujqIop9Pp8XhiY2NxHG9qasJxvKSkBMbEbEU4HI5MJnM6neARQfK+vj6Px1NdXc3MFMDJTKMMzWVbWxuPx0tNTWU/dxAmGo16PB6hUMguCCzG3HNGJcE+n1gL5xQWFt5///1//OMfn3zyyTvvvJPL5d5xxx1wf4j+2Wy2UCgExiEIAsKAd955p9Pp/Pvf/67T6fLz87OzsysqKujpOQgwNVMQI8nExARYjCTJ1tZWDodTWFgIGVjBYNBisQSDQZ/Pp9fr+Xz+4sWLwZPhLKAFGB8fLy0tffDBB8FWOI5bLBabzVZRUSEUCiGvfka1/KJNATwLyKtipkWh6+xwOBwOR1JSEvv8i1YwxstC59Jms3V3d7vd7nvvvTcrK4uiqLS0tAcffPB3v/vdT37yk3vuuUcoFN56660KhQJmNEwm0+TkZFVVVU9PD/OuwZAX6gAELSCUMjY2Vlpaevfddzudzpdeeml4eHjRokVFRUWFhYXYdKDY7XbHx8dzOJzm5uZQKFRZWSmVSoPBIEVR4+Pj8Bb09fXxeLyioiIulwt5f+BBw+Fwd3e3SqVKS0u7TEteY76erhRaDfhQXV0dDoeNRiNEGLZs2cJuypcsWSKTycbHx8Ph8MDAwNTU1H333RcOh0OhUHp6ul6v7+rqys7Ozs3N9fv9o6OjY2NjTqcTJszZJbLnEeFvNBrt7u6ey2PBa69WqzUaDfH51HactXACStm4cWNDQ4PBYPB4PJmZmeXl5RA/cblcOp1u8+bNZrMZWoTm5uaMjIy8vDy/3y8Wi1UqlV6vP3ny5MaNG0UikcPhMBgMIyMjpaWlkNQzlwrgROHdg7Cq1WrV6/U9PT3l5eUwJsNYaxklEsmmTZvOnz+v1+tHR0dramqgJ5ucnFxdXX3hwoXx8XGz2fzd7343Go3iOL5y5cre3l69Xp+Tk6PRaCwWS1lZWTAYrKysNBgMq1atGh0d1Wg0kKAUDodvuummcDis0+mMRqPJZIJJMqZ0tukikQiEmOY3e1JSEnMtjuOhUCgUCs24RCwWwyCY8QTMCdAyQmLk9773PUij5XK5fr/fZrOJxWKJROJ0OmkW83RcoLl0Op1tbW0qlQoSTEQikcViwTCMy+XW1NRgGFZSUvLLX/7S6XR+85vf5PF4kHZeWloKor788ss/+tGPsrOzZygCYclQKMQedLa2tobD4U2bNkGQjTkZnntvb+/k5GRmZmZKSsrExMTQ0NDg4OC6deuY8RlYLBwOQ0YVY1uIQM61tmEGjP1LS0vvuuuu3bt3v/DCC4899pjH41GpVFNTU4FAQKFQ5OTkQNzo6NGjf/rTn/785z/jOC6TyTZt2hQIBPbt2zc8PPzEE09AvbpouXBEKBQmJCQolcqioiIMwwQCwauvvvqTn/xEq9VCLyojIyMmJgbDsMbGxt///vevvvoqhEMZ7eBZ8Hg80BGeODiVPXv2xMTE1NbWskPKjEkJghgeHna5XEwK2wxompZKpSkpKexOG7RXzPmMFjiOh8NhbN6oEvsSDMMgUdZms7W0tGRkZMhkslAoBP4+Jydnx44d//rXv1566aW77747EAjAhL3P55uYmJBKpewxMUEQYrF46dKlFovF5XIplUqSJHU6HYxMMAxTKpWbN28OBoN79+4tKyuDHj+MMhMSEgiCqK6uxjAsNjb2D3/4A5fLXbFihcPhgHgJzIhrtdqf//zn//3f/63VakOhELxoOI739/efPn36rrvuEovF82v9VfH1dKXsPqBUKt20aZPH4wkGg1u3bmWOx8bGbt++ffv27cyRNWvWMJ+XL19+8uRJh8MhFApra2sFAgHEr1JSUsLhMMRaZzOjTT906BA9a6EVAP2+kpKSxMTE2XfAPz+i1Wg0O3fu1Ov10MVjyMrKysrKYh+pra2FD0Kh8KabbmppaXE4HBkZGRDfdrlcqampMNCcq5vMqAAhvubm5uHh4cLCQpfL1djY2N/fn5mZCctdmPNBRxBmZGRk3bp17Bump6enp6fPKCU1NZUZ6zAIhcIdO3bA5/z8/Egk4vP5wuHwqlWroCvq8/lycnImJiYg9YYtMPZ5s2Os5ZtsIERWUlICUSyMFeNlYpVMCwVuBp+1swHoS9P02NgYk+wNX0GfDNoLSAiCtg9nTUPONjiUnp+fn5+ff+7cud///vfbt2/fsmVLKBQiCGLx4sWQRyYUCqPRaFdXVyQSUavVEDKBtj4vL0+n0+l0utzcXObJMo0yzAgyY8dAIBAMBiHZGP98fAJ0cTgcDQ0Ndrs9NjbWYrFAqtrKlSu5XC40qTRNc7ncGQVB95GZU79kQw+hS6fT+dlnn/H5/Ndff/0vf/nLrl27zGbz448/Dtl/6enpMpksGAzy+fyEhITe3l6LxZKUlNTR0VFfX3/PPfds2rTp+eeff/bZZ//93/997dq1F81LB+1UKhVMNMA4Mj8/f3Bw0GAwpKSkhEKhnJycmJgYCOcmJycPDg6OjY3BqGuGX2Qyy3g8HoZh0PMYHR3dtm1bUVHR7MUwYIfm5ube3l6ZTMbEw2dUy7S0NKVSCa6U6RAwT425D8wis4/PD9OeiMXiqqqqqqqq995777nnnnvooYeWL1/u8Xjq6+snJib+9Kc/vf/++7t377ZYLD/4wQ9SUlJ0Op1IJMrJycGmazI8bpqmH3744X379rW1tRUVFeE47vf7eTweJDG0tLScOXPmkUce2bhx44svvvjss88+/vjjy5cvBweMTc/oZ2ZmWq3W/v5+yPBSq9WpqanhcJjL5Wq1WthOJy0tjc/nQ4DE5/PV19fn5uZu27aNvF6Xln49XenY2BjzGd5qaAV0Oh27atLTWxawKyvz8mRnZ2MYptForFYr9NY3bNhAEEQgEGDfH5rvhIQEaFXx6bkTkUj05JNPXqbAM/yB3++3WCzspoqmaT6fr9frmYgTNj0FxfbWzBwwvG+LFy8GpaDnyOVyH3zwQZIkx8fH2a80FJqSksLMRUFzsGjRoqeffrqlpeXtt9/2eDx33333z372M+Z8dr8hGo3q9XqCIIRC4ejo6IwTmCabsS3T1M6wORMmpWk6NjYWjkciEZ1OB86muLg4HA7r9fpoNJqUlMQ0Pdi07xSLxU899dTlmx0EEwgEEolkYmKCiQrQNO12uyUSCazMYzSlWTHe+vp6hUIBE3swiTUxMcHn8ycnJwmCsNvtOI7bbDYMwyAQylacjdvtFolEoHVVVdWJEyf++c9/bt68GVKZZDIZYxM+nz8xMeH1evl8/tTUVEJCAj4d1pNKpXa7HSIEkDmCT4c3PB6PTCaDOxAEAZMCixcvZoKHjCSQqnPTTTetWrXq448/fvPNN+Pj4x944IHFixczwjMWE4vF0LIzFvN4PLDnyQyLsasx+1+Kog4fPuxyub7zne+QJPnUU08tW7bsl7/85cqVK1etWiUSiWasRMIwbHR0NC4u7s0333z66afj4uIWLVr02muv/eIXv3j33XeXLVsG7m2GneGDx+Px+/3Q4uM4LpVKJRKJ1Wrl8/kymYy9TBNe9tHR0ZKSEi6XS05n5NI0DWNx9v4hLpdrz5499913H6w3nb2oFO68c+fOy6yTxPSmJTiOQ0HsqX2v1wuDcka12S/UbIN7vV6JRAKfb7vttiNHjrz//vtVVVWdnZ1NTU3/9V//RVHUgw8+WFNT8x//8R+nT5/euHEjjDKhJsNUhcPhEAgEAoEgISHhm9/85uDg4Pnz58vKyoqKivbu3ZucnBwIBN56661f/epXEokkNTW1tLT06aeffu+996qrqyORiMvliouLg3Q5mqYVCgUsJYiNjZ2cnGRaHlgrYTAYYL0phmGw8pUkyZ/+9KfQU7lMS15jrlOxFshDDz2EzQqzYHME/S4Ku9VgGlxgRkeVx+OZTKY//vGP69evh0UCzIU+n2/+Ung8Hp/PZ48MoK60tbV997vfZTYtwlhvyJWpwLTjTNeBfR8YTOzfv18mk9HTAV6CIKLRaF1d3alTp2666SadTnfy5MnJycnNmzfLZDImBYBZTvCtb32Lz+czSyBmO4wvCtM0MNIy/QYulzsxMfHmm28WFRUx05aXaXboKLDNDrHBmJgYyNdl8Hg8CQkJ0Jqzm1rGRGfOnFmxYgUEOWmanpiYGBgYCAaDsB7ObrdjGLZ///78/Pxly5YxtmXXJQzD/H7/r3/96zvuuKOsrAx63DExMR6PZ2xsLDk5maZps9kME6I4jkOzrlQqP/zww127dr3zzjvQdkMrD8aXyWR+v5/RAgySlJQEUT4ul9vV1WW32zUazYxGH5vuivl8vvfee8/hcGzZsqWvr2/fvn2wsyajOzRzSqUS8nXZFktMTJxtMXaSMFMzBQIBRFYh9QnOWb58+UMPPaTT6VauXBkTEwM2hH4wPp0MPDw8DDOmNE1DUtWDDz549OjRCxcuLF26lKn2jJ1JkuTxeB988MGRI0feeOMN+CoYDELUgaZpuVwO3gIKgrlzHo8HqeYej4dRMBQKkSQJS4zgBXnrrbe2bdtWXFwMlZOateERfIa05HleXsgaY66FuhEfHw+PD1YcwKMRiURMjhtzQ3bfhVEcPhuNxpdeeumJJ56A9kQoFKpUKrvdPjY2FgqF8vPzwfLRaDQvL++xxx7zer2NjY0OhwMS8QiCGBsbo2n6X//6V2ZmJsRCBAJBaWkpTC7U1dUplUq5XN7Z2QnTOvBcRCLRt7/97fr6+pGREbfb/fOf/3zXrl0qlQraDcj+pWk6JibG6/WGQiF4JWHiCfqv8CxOnz7tcrkef/xx6GejUek15dixY19JuTCvQE+vD4G1Vhd98FBdKisrN27cyD4BOmLLly9vb2+/ZmKzYZwuhmG9vb1Go/GHP/yh1WoNBoMPP/zwG2+8YTKZYLk6nA/CJyQkzNht8ZrB9FLp6QH9b3/7W2yOAC8EFcHsOCu/A8fxhIQE6Oyz01khNXquh2i322HkBOdDiJtpRltaWg4fPnz//ffHxMTMCB6wezOTk5O9vb0OhwOfjupD0xkXFxeNRrOysqxWa0FBAVwLY3Ecx6VSaVlZGaTs4jhuNpsjkUhGRgaO4/Hx8bDqgInIwe6S2LSndDqdkUhEKpXO6FFh07Hr48ePJyYm3nvvvS0tLVKptKioaNeuXdXV1XAJ06VLTEx0uVxMQeBFmILYFmPrO+MzcyFcQlGUSqWCgX56enogEHA4HLAWCJ5dVlaWw+FgZkaZWGtSUhLMO7A1YppjDMNiY2OZUSaO4xaLBcyL43hycrLVarXZbDAHD50zmDqBtUNMrSBJUi6XQ5yWoqjPPvts06ZNUEnsdrvFYklMTARHy4gBeu3Zs6ezs5O99cGMarlo0aJbb701Li6Onp4+wHFcoVBoNBqv1xsfH8+uAPBhxvbaMzwr8+/4+Hhvby8MZ6E75ff7VSqVWq3W6/WM74fnpVQqxWLxkiVLYB4UDh4+fPjcuXOPPvoo3PDAgQMqlaqyspLP5xsMBpPJBEtZwAuynwvMiCkUikgkUlZWBlPRMLHq8/nS09NxHI+JiYmNjTWZTFBzoHZlZmbCa9XW1sbhcO68804Mw5joFISdrze+nq4U6OjogMAC7P1x0bb1aoBPJwhcMtIIm2PN9S1Jkk1NTSKRaHx8vKioaPbk4tUD3q68vLzc3Fzo2DqdTpFI9Oijj85Y+Q4wbUdzczPkK6WlpeXn518zgbFps4vF4qeffnr+M2HwwfwLj6CystJqtR44cOCWW24hSfLIkSN33nlnTEwMdLFbW1vVajVst8Z0/GGIMMPLMneGQQazhQLNmrlkptkwDIM93sBWOI7DWqaKigrY3+7ee+9tbW2FsW9PTw+TgqTRaGBkBsK/8847GzduhNZ/3bp1x48fb2hoWLVqld/vP3PmzH333cd08jAMgzErO2NohinWr18PE1SwcZVGo/nOd77DbI/AnAb7Ux4+fHjDhg2RSOT48eN33303DL5DoVBra2tCQkJ2djYEMOCqcDgMwy8Mw8LhsEQiIQiit7d38+bNzCKfnp6eBx54AMOwrVu37t+/v7e3d8WKFVNTU83NzatWrVKpVEqlcnh42OFwxMbGwlVms9nr9WZkZEBQB8dx2K2CvYQ6NTUVVnSA2Xft2vWNb3xDq9ViGHbbbbd99NFHbW1tmzZt8vv9p06dggW4GIZt3769u7s7Ly9v0aJFBoNhamrq7rvvxjAsGo22tbUFAgG/3z88PEySZGNjY3JyclFR0QxnCbrfddddd9xxxzyjUoIgmAQf5qBUKt2yZcuRI0e+9a1vicXi9vZ2yHuA5zg4ODg+Pn7TTTcxTxabnoxkK56Xl1dbWwtJPTiOt7a2Op3OzZs3q1QqqFTsQnt6elavXg3z6EzFhmgTcw5s8wTpF+3t7TC3jWFYZmbm3//+d7fbLZfL4bkYjcZwOJyQkBCJRGBtGJT1zjvvVFRUVFVVMbWosbExMzOTpulDhw4VFxdD72RkZESv1yuVSkhBMBqNBoMB3Op1yJcQiLsOoWnaZDIdOXKkuro6LS3to48+Ighi586d4XCYmU3BWAMXJvwLfTSPx/Piiy/+8Ic/ZDcflwT/fAbHFUsOHyKRSGdnZ2dn5/bt2ymKeumll+68886cnBxm0Rg2vSxhRuSZWdUHLnDXrl1PPfXUZcp20dNomvb7/VNTU4mJibMdP82amBkZGamvr1+3bp1KpXrrrbeys7PXr18P2QTsS+Yyu8vleuWVV3784x/DgrPLseTCbU6zdt7p6+s7depUYWGhzWYbGxt74IEH5HI5juMDAwP/8z//s2LFiocffhgyUwiCCIVCGzZs+PnPfw5pVnAHanoDl4MHD546derkyZObN2/esGFDTU2N3+8/f/58Q0NDfX29VCrdtm1bRkbG+vXrMQxzu92HDh2y2WxyudxgMCQlJd1xxx0wexoOhz/88EMIhE5MTKxZs6akpAR8udlsrq+v5/P5FotFIpFs3bo1JiYGnv758+d7e3vz8vIg4fyhhx6CZhr2wHryySdDodDzzz+PT88LzjAIPj1vPTU1BXkAM75lZgo6OjrOnz9fUFBgNptNJtO3v/1tGFD29PT86le/uuWWW+655x6I+PX29p4+fbqurm5oaOi2227Ly8uD7WT9fn9LS8uFCxcUCgWfz/f7/WvWrElPTwdLNjU1tba2CgQCr9erVCpvv/12sVhMEITZbD5+/DhMv7lcrpSUlFWrVkEe9cDAwNmzZ+vq6rq7uzdv3lxcXLxs2bK0tLRoNGo0GuGXi8xms0Kh2Lp1K4y9uFwu7L7J4/Egxemuu+6CoSdJkvv374chOOwucuutt8JCkbvuuoumaTAsl8sdGRl58sknH3vsMSZWucA6CQQCgXfffTc1NZXH4124cGHlypVlZWUcDmdqaurvf/97b2/va6+9BpcYjcbm5ub6+vrTp09nZ2fDRrsQ8bZarYcOHQoGg0KhUKfTVVZWQiplJBKBLY6FQqFUKnU6ncuWLcvPz4fxJYfDmZycPHjwYENDQ0tLy+2337527dqlS5e2t7c3NTVJpVK32y2TyW6++WbocUKDc+zYMZ/PB9utZGRkLF++HHqTTqfz6NGjBEFYrVZY6JKcnAzZl6Ojo4cPH4ZCA4HAvffeCwt2n3rqqQMHDmg0GqhsDodDq9V++OGHtODBHgAAC6lJREFUC2xjrxJfW1fqcDigQ0QQxJ49e0wm0xNPPHHRk2cH300m0wsvvPDrX/8a4k7siB80IpAIirHanRml419kspDtDxinGA6HHQ4Hj8eD6Nb/+T//Z/369atXr54x8T5DePZ9cBzv7Ox87733nn32WezzPzaCTyfOYBh20d232SqwPTdbYOYDCEyS5OTkJE3T0PK+8sorEokEhheXaXaDwfDyyy//5je/uai0V9vs0AuB+SFI24HdJTEM8/v94+PjcrkcVgGBJ6MoSqfTQboZu3Qcx6PR6OTkpNfrhYcFAynYn2FqagomNSUSiUgkUqvVcIndbg8Gg9CaqFQqJoUNwzCPx+PxeECvxMREiIJCzYQ9jMLhsEKhgN3a4KtwOAzeFwZnsBUi86TMZjNN00lJSfSs2fdLPvfZmsJGDbBFIpPa7fP5xsfHVSoV7I0OI/ipqSmfz0dRlEgkggk/mBILh8MWiwUiNCRJQno23D8cDrtcLngcUqkU0nBAErAYn8+PRCJyuVwul8NXTEHRaBQKgsxYqHI2mw1uC9N7jMWi0ajT6QyHwzRNi8Vi8A1QEMzkQeYz7DWGYVgoFOrv72fX/2g0mpKSAvqye5xfqFrOrpMYhsGacigUthnCMCwajcK0C7PaOxgMut1u2GuCx+NJJBKJRMLs4QeZhlBt4uPj2SkdRqMR8g8ikUhSUhLBWhMcDocnJydhaxoejxcTEwM3hNYVflmLmbiFS6xWK0xgw68ssGsyrDsPhUIymQwWQTAiwb4TGIbBKi+QWafTwQoi6CBSFCWRSCAb9Drka+tKg8FgY2MjSZJZWVn79+/3eDzbtm0zGAwQr4f+ZllZGaxVOH/+/Pj4OKy4CgQChw8f9ng8t956K+zXjH2+EbnawlPT+89ZrdbW1taYmJi4uLgXXngBxjcEQXR2do6OjioUCo/Hc8stt7hcro6ODqvVunbtWrVa/dlnnymVyqVLlzY2NtbX11MUBYMAuPkXUmRGKzDXJYx38Xg80LXPzMx8/fXXk5KS7r///oGBAZPJBB0C2Gu3oqICBnaNjY1WqzU9PV0ul/t8vsOHD3u93i1bthQUFFxLs7N9w4zj82g94/K5/r18AdhHmBms2QJcUtqL3g0e0PyFzi5idumXKcMlFL6UGHPdn5q1MdPsry6/oMux2Fy9zCtQ6gsxzyOYx2KXL8zs9KjZ51+mFuyHMlvaK6jJ869LvjaN8BXw9dw4kCTJv/3tbzRNp6amQuxlbGwMx3GDwbBnz574+PiUlJQPPvgAuqjvvvtuZ2dnQUGBx+Npbm6WSCSQrxgXF0dM/wIibO6FYVgkEjl16tQ777wDBX3pHRF6ejnN0NDQP/7xj7S0tMTERJ/P19vbC932I0eOnDlzJiMjAzZp6+zsHB4eTklJaWhocDgcsPsrLIoIhUJut3v9+vXQkWQrAn3DQ4cOffjhh9i0857NjIpOz7FdH+NHX3nlFYVCkZKSQtN0T08PKGK3200mE2P2vXv3wh4ub7/9dl9fX0FBgcvlam1tFYvFFoultrZWrVZf1OwNDQ3vvvvu1TA7oyYz9mUSSpk2BaagsM+vOoCeAXMOxmodGOHJ6X0K2QfhQrbZmULhfHYzx/6K3fow0jKyzaUI8fnVsbDDHFuXeZ77RR/6FVjsojZhbsW+yUV1ZBRhZKY+D3ut0SULunyLwWCIDaNgdBaMvgtv69mPYLZxMNbrzD7/ooozJ1+0gs1l/EvW5NkPZba01Bw1ef6nzPhR5mVhYE9vXW98PV3p8ePH9Xp9UVERbJUiEAgWLVqUnp4ukUgWLVqk1Wphs2+hUOj1ehsaGpiFfUVFRXK53Ov1Ll26FLbehkV7HA6HCYQGAoG6ujoo6Cq5UqfTCUupCgoKtFqtSCSSy+UJCQlut7uxsVGhUBQWFsJv+/X29iYmJgoEAq1WGxMTA79XCrlCsKdJRUUFJFCwFYEaOTExcerUKWxuV4p9fuM35vNsgYPB4NGjRycmJsrLy7OysiQSCSQ6wq8PSqXSrKystLQ0uVwOZoe14V6vVygUcrncwsJCqVTq8/mWLFkyl9l9Pt/VMzujGsGC0RSfzkhkTIFNL6phJ+XOuA8IP2MzQjgIF7KvZQplFzT7q9mlMJdc9KsZpcC3YFj2M53HIBd96FdgsYvaZLb6l1SEfbe5dLxkQZdvMQzD5iqIOwv2g1s4l7QwKMI+/6KKzzDXPBVsxiVz3XOuhzL7bpdT0Dw6Mi8Lw/W5DAb4errSI0eObNy4ESZIIFngrrvumpiYMJvNd911VzgcPnDgwKZNm6LRKGRnLF682O/3p6Wlwa4xkCljMpmi0WgoFNLpdG1tbbD1IJfLzc/P12g0UNCX3kWC/trY2Njw8PDtt98OTq6pqenmm29OT0/v7++Xy+XwA5lut7u9vb2ioiI5Ofnjjz+uqalRq9WnT59WKBRpaWlTU1N2ux0u1+v1OI77/f6hoaHW1lbYNAB2GZ29fuCLAh1Sr9d7+vTpbdu2wSAS1m7DtqgkSZrN5h07doRCoU8//fTmm28OBoO9vb0FBQWwHaNWq83JyRkZGYHlrSaTiSRJxuwmk4kxO5P/8qWbHYFAIBbC19OVpqenT01N4ThuNpsvXLiQm5ubnp4O+4SpVKpIJAK/pmmxWKRSaUJCglgshi3CrVarQCBQqVQ6nQ424zh+/Hh3d7fNZmtsbOzo6KBp2uPxQHrCRWNfCwcGlPHx8ZOTkziOwx5m8GOrMplMLpebzWadTjc4OFhUVJSZmQn78QaDwdHR0ZGREVhbHQqFRCKRRCIxGo2QuPHZZ58NDw9PTEw0NDQMDg6CIpDQAeVemSLQIeXz+ampqbA3il6v7+7urqiogEV7ZrPZYDAolcpgMNjf369Wqy0WCygIZidJ0m63C4VCpVI5OjoKWw4dPXq0p6fHbrefPXsWfsKJkfYqmR2BQCCuGM4zzzzzVcvw5aPRaMbGxmBpQUxMTHV1NZ/Ph180LC4uxqc3H1m0aNGiRYv8fr/dbo9EIpOTk/Dj8hMTExRFlZWV2e32gwcPrlu3rrKysrm52Ww2l5WVud3ujo4O+JUieo4tdheITCYTi8VGo1GhUHR1dVVWVsJvkoO/d7lcHo+HJMl77rkH8mDlcrnVaoUfj4S80LS0NIFAMDk5yePxSktLR0ZG6urq7rjjjsWLFx89ehR2NhkfH9fr9StXrmQmh65YYD6fDz9qHRMTMzg4mJGRAb8zDIFZHMcLCwtxHIdfgQCze73eyclJSFQGs8MUb3l5ucVi+eyzzzZu3FheXn7u3Dm73Q6/w9rV1bV27dqrZ3YEAoG4Mr6eGbxAR0dHdnb2/GtDqXkT/1paWkZGRmpqapxOZ3t7e2lpaX5+fltb2xtvvPHcc8/BKgjsy443MtL6/f7BwUEI51LTWeNsaefZQ4utMqwfN5vNK1eu1Ol0IyMjVVVV6enphw8frqure+aZZwQCAbMH5pUJjE0vD+3o6ICFj/S8yZzzm/38+fM6nW7FihV2u72rq6u0tDQvL+/8+fPvvPPOc889B5uozXNzBAKBuMZ8Pbv2kBJWXFwsEomYnBom4Y1JGIPBzYy8MiYzEwamCoWir69veHi4vLy8sLAQ3BuO4/P8ktcCJcenU9pEIlFJSQk7b3CGtARrZ10mPY+d5wmKcDgc2OWru7vbaDQuW7YsKyvL7XYbDIZoNAp7cS1QYGw6hR225aRYyZxsszNJgPObvby8XC6X9/T0jIyMVFRUFBQUwEQvjuO9vb0YcqIIBOI642s7KmX0whewIc6MC2ff50tJfJ+r0C9FBYw1apxdxEX/vR4EvvZmRyAQiCvma+tKEQgEAoG4Nnw9A7wIBAKBQFwzkCtFIBAIBGJBIFeKQCAQCMSCQK4UgUAgEIgFgVwp4v9rr44FAAAAAAb5Ww9ib0kEwKJSAFhUCgCLSgFgUSkALCoFgEWlALCoFAAWlQLAolIAWFQKAEvjSlHtN67ZpAAAAABJRU5ErkJggg==" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "接下来就分别求这两项，可知：\n", - "![bp_demo_bp_13.png](attachment:bp_demo_bp_13.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_14.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "又因为：![bp_demo_bp_14.png](attachment:bp_demo_bp_14.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_15.png": { - "image/png": "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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "所以：![bp_demo_bp_15.png](attachment:bp_demo_bp_15.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_16.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "结合可得：\n", - "![bp_demo_bp_16.png](attachment:bp_demo_bp_16.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_17.png": { - "image/png": "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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "同样可以得到：![bp_demo_bp_17.png](attachment:bp_demo_bp_17.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_18.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "因此：![bp_demo_bp_18.png](attachment:bp_demo_bp_18.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_19.png": { - "image/png": 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- } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "我们知道logistic函数：\n", - "![bp_demo_bp_19.png](attachment:bp_demo_bp_19.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_20.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "所以其求导为：![bp_demo_bp_20.png](attachment:bp_demo_bp_20.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_21.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "同样有前面前向传播可以知道：\n", - "![bp_demo_bp_21.png](attachment:bp_demo_bp_21.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_23.png": { - "image/png": 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- } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "得：![bp_demo_bp_23.png](attachment:bp_demo_bp_23.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_24.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "结合可得：![bp_demo_bp_24.png](attachment:bp_demo_bp_24.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_25.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "现在可以更新w1了:\n", - " ![bp_demo_bp_25.png](attachment:bp_demo_bp_25.png)" - ] - }, - { - "attachments": { - "bp_demo_bp_26.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "同样的步骤可以得到：\n", - "![bp_demo_bp_26.png](attachment:bp_demo_bp_26.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "最后，更新了所有的权重！ 当最初前馈传播时输入为0.05和0.1，网络上的误差是0.298371109。 在第一轮反向传播之后，总误差现在下降到0.291027924。 它可能看起来不太多，但是在重复此过程10,000次之后。例如，错误倾斜到0.000035085。建议先理解整体步骤，然后自己再推导一遍。下面以输入向量$\\vec{x}$为例子，理解神经网络传输过程。" - ] - }, - { "cell_type": "markdown", "metadata": {}, "source": [ @@ -706,7 +153,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "在式2中，$f$是激活函数，在本例中是$sigmod$函数；$W$是某一层的权重矩阵；$\\vec{x}$是某层的输入向量；$\\vec{a}$是某层的输出向量。式2说明神经网络的每一层的作用实际上就是先将输入向量左乘一个数组进行线性变换，得到一个新的向量，然后再对这个向量逐元素应用一个激活函数。\n", + "在式2中，\n", + "* $f$是激活函数，在本例中是$sigmod$函数；\n", + "* $W$是某一层的权重矩阵；\n", + "* $\\vec{x}$是某层的输入向量；\n", + "* $\\vec{a}$是某层的输出向量。\n", + "\n", + "式2说明神经网络的每一层的作用实际上就是先将输入向量左乘一个数组进行线性变换，得到一个新的向量，然后再对这个向量逐元素应用一个激活函数。\n", "\n", "每一层的算法都是一样的。比如，对于包含一个输入层，一个输出层和三个隐藏层的神经网络，我们假设其权重矩阵分别为$W_1$,$W_2$,$W_3$,$W_4$，每个隐藏层的输出分别是$\\vec{a}_1$,$\\vec{a}_2$,$\\vec{a}_3$，神经网络的输入为$\\vec{x}$，神经网络的输出为$\\vec{y}$，如下图所示：\n", "\n", @@ -895,10 +348,10 @@ "## 6. 为什么要使用激活函数\n", "激活函数在神经网络中非常重要，使用激活函数也是非常必要的，前面我们从人脑神经元的角度理解了激活函数，因为神经元需要通过激活才能往后传播，所以神经网络中需要激活函数，下面我们从数学的角度理解一下激活函数的必要性。\n", "\n", - "比如一个两层的神经网络，使用 A 表示激活函数，那么\n", + "比如一个两层的神经网络，使用 f 表示激活函数，那么\n", "\n", "$$\n", - "y = w_2 A(w_1 x)\n", + "y = f( w_2 f(w_1 x) )\n", "$$\n", "\n", "如果我们不使用激活函数，那么神经网络的结果就是\n", @@ -989,6 +442,8 @@ "## 7. 算法与处理步骤\n", "\n", "```\n", + "W = random\n", + "\n", "# 每次训练\n", "for k in range(epoch)\n", " # 正向计算\n", @@ -1012,17 +467,35 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "### 7.1 正向计算：\n", + "![formular_2](images/formular_2.png)\n", + "\n", + "### 7.2 反向传播：\n", + "输出层的误差计算：\n", + "![formular_3.png](images/formular_3.png)\n", + "\n", + "隐层的误差计算：\n", + "![formular_4.png](images/formular_4.png)\n", + "\n", + "权值更新：\n", + "![formular_5.png](images/formular_5.png)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "## 8. 示例程序" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1039,29 +512,34 @@ "import numpy as np\n", "from sklearn import datasets, linear_model\n", "import matplotlib.pyplot as plt\n", + "from sklearn.metrics import accuracy_score\n", "\n", "# generate sample data\n", "np.random.seed(0)\n", - "X, y = datasets.make_moons(200, noise=0.20)\n", + "x, y = datasets.make_moons(200, noise=0.20)\n", + "\n", + "y_true = np.array(y).astype(float)\n", + "\n", "\n", "# generate nn output target\n", - "t = np.zeros((X.shape[0], 2))\n", + "t = np.zeros((x.shape[0], 2))\n", "t[np.where(y==0), 0] = 1\n", "t[np.where(y==1), 1] = 1\n", "\n", + "\n", "# plot data\n", - "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Spectral)\n", + "plt.scatter(x[:, 0], x[:, 1], c=y, cmap=plt.cm.Spectral)\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1079,13 +557,10 @@ " n_epoch = 1000 # iterative number\n", " \n", "nn = NN_Model()\n", - "nn.n_input_dim = X.shape[1] # input size\n", + "nn.n_input_dim = x.shape[1] # input size\n", "nn.n_output_dim = 2 # output node size\n", "nn.n_hide_dim = 8 # hidden node size\n", "\n", - "nn.X = X\n", - "nn.y = y \n", - "\n", "# initial weight array\n", "nn.W1 = np.random.randn(nn.n_input_dim, nn.n_hide_dim) / np.sqrt(nn.n_input_dim)\n", "nn.b1 = np.zeros((1, nn.n_hide_dim))\n", @@ -1093,2076 +568,2065 @@ "nn.b2 = np.zeros((1, nn.n_output_dim))\n", "\n", "# define sigmod & its derivate function\n", - "def sigmod(X):\n", - " return 1.0/(1+np.exp(-X))\n", + "def sigmod(x):\n", + " return 1.0/(1+np.exp(-x))\n", "\n", "# network forward calculation\n", - "def forward(n, X):\n", - " n.z1 = sigmod(X.dot(n.W1) + n.b1)\n", + "def forward(n, x):\n", + " n.z1 = sigmod(x.dot(n.W1) + n.b1)\n", " n.z2 = sigmod(n.z1.dot(n.W2) + n.b2)\n", " return n\n", "\n", "\n", "# use random weight to perdict\n", - "forward(nn, X)\n", + "forward(nn, x)\n", "y_pred = np.argmax(nn.z2, axis=1)\n", "\n", "# plot data\n", - "plt.scatter(X[:, 0], X[:, 1], c=y_pred, cmap=plt.cm.Spectral)\n", + "plt.scatter(x[:, 0], x[:, 1], c=y_pred, cmap=plt.cm.Spectral)\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "epoch [ 0] L = 109.763265, acc = 0.500000\n", - "epoch [ 1] L = 103.996033, acc = 0.500000\n", - "epoch [ 2] L = 100.061412, acc = 0.500000\n", - "epoch [ 3] L = 97.202024, acc = 0.615000\n", - "epoch [ 4] L = 94.891877, acc = 0.815000\n", - "epoch [ 5] L = 92.856687, acc = 0.805000\n", - "epoch [ 6] L = 90.969326, acc = 0.800000\n", - "epoch [ 7] L = 89.173360, acc = 0.795000\n", - "epoch [ 8] L = 87.443892, acc = 0.795000\n", - "epoch [ 9] L = 85.769759, acc = 0.790000\n", - "epoch [ 10] L = 84.145805, acc = 0.785000\n", - "epoch [ 11] L = 82.569580, acc = 0.795000\n", - "epoch [ 12] L = 81.039921, acc = 0.800000\n", - "epoch [ 13] L = 79.556306, acc = 0.800000\n", - "epoch [ 14] L = 78.118541, acc = 0.800000\n", - "epoch [ 15] L = 76.726582, acc = 0.800000\n", - "epoch [ 16] L = 75.380423, acc = 0.795000\n", - "epoch [ 17] L = 74.080019, acc = 0.790000\n", - "epoch [ 18] L = 72.825231, acc = 0.800000\n", - "epoch [ 19] L = 71.615794, acc = 0.790000\n", - "epoch [ 20] L = 70.451292, acc = 0.795000\n", - "epoch [ 21] L = 69.331151, acc = 0.795000\n", - "epoch [ 22] L = 68.254644, acc = 0.795000\n", - "epoch [ 23] L = 67.220892, acc = 0.795000\n", - "epoch [ 24] L = 66.228884, acc = 0.795000\n", - "epoch [ 25] L = 65.277491, acc = 0.795000\n", - "epoch [ 26] L = 64.365486, acc = 0.800000\n", - "epoch [ 27] L = 63.491567, acc = 0.800000\n", - "epoch [ 28] L = 62.654371, acc = 0.800000\n", - "epoch [ 29] L = 61.852496, acc = 0.805000\n", - "epoch [ 30] L = 61.084520, acc = 0.805000\n", - "epoch [ 31] L = 60.349012, acc = 0.805000\n", - "epoch [ 32] L = 59.644549, acc = 0.805000\n", - "epoch [ 33] L = 58.969725, acc = 0.805000\n", - "epoch [ 34] L = 58.323162, acc = 0.805000\n", - "epoch [ 35] L = 57.703518, acc = 0.810000\n", - "epoch [ 36] L = 57.109490, acc = 0.820000\n", - "epoch [ 37] L = 56.539824, acc = 0.820000\n", - "epoch [ 38] L = 55.993312, acc = 0.820000\n", - "epoch [ 39] L = 55.468799, acc = 0.820000\n", - "epoch [ 40] L = 54.965181, acc = 0.820000\n", - "epoch [ 41] L = 54.481407, acc = 0.825000\n", - "epoch [ 42] L = 54.016480, acc = 0.825000\n", - "epoch [ 43] L = 53.569452, acc = 0.825000\n", - "epoch [ 44] L = 53.139426, acc = 0.825000\n", - "epoch [ 45] L = 52.725557, acc = 0.825000\n", - "epoch [ 46] L = 52.327042, acc = 0.825000\n", - "epoch [ 47] L = 51.943128, acc = 0.825000\n", - "epoch [ 48] L = 51.573103, acc = 0.825000\n", - "epoch [ 49] L = 51.216296, acc = 0.825000\n", - "epoch [ 50] L = 50.872075, acc = 0.825000\n", - "epoch [ 51] L = 50.539847, acc = 0.825000\n", - "epoch [ 52] L = 50.219052, acc = 0.825000\n", - "epoch [ 53] L = 49.909163, acc = 0.830000\n", - "epoch [ 54] L = 49.609684, acc = 0.830000\n", - "epoch [ 55] L = 49.320150, acc = 0.830000\n", - "epoch [ 56] L = 49.040121, acc = 0.830000\n", - "epoch [ 57] L = 48.769183, acc = 0.830000\n", - "epoch [ 58] L = 48.506946, acc = 0.830000\n", - "epoch [ 59] L = 48.253043, acc = 0.830000\n", - "epoch [ 60] L = 48.007127, acc = 0.830000\n", - "epoch [ 61] L = 47.768872, acc = 0.830000\n", - "epoch [ 62] L = 47.537968, acc = 0.830000\n", - "epoch [ 63] L = 47.314124, acc = 0.830000\n", - "epoch [ 64] L = 47.097064, acc = 0.830000\n", - "epoch [ 65] L = 46.886526, acc = 0.830000\n", - "epoch [ 66] L = 46.682264, acc = 0.830000\n", - "epoch [ 67] L = 46.484042, acc = 0.830000\n", - "epoch [ 68] L = 46.291638, acc = 0.830000\n", - "epoch [ 69] L = 46.104842, acc = 0.830000\n", - "epoch [ 70] L = 45.923452, acc = 0.835000\n", - "epoch [ 71] L = 45.747276, acc = 0.835000\n", - "epoch [ 72] L = 45.576134, acc = 0.835000\n", - "epoch [ 73] L = 45.409851, acc = 0.835000\n", - "epoch [ 74] L = 45.248263, acc = 0.835000\n", - "epoch [ 75] L = 45.091210, acc = 0.835000\n", - "epoch [ 76] L = 44.938543, acc = 0.835000\n", - "epoch [ 77] L = 44.790116, acc = 0.835000\n", - "epoch [ 78] L = 44.645792, acc = 0.835000\n", - "epoch [ 79] L = 44.505437, acc = 0.835000\n", - "epoch [ 80] L = 44.368925, acc = 0.835000\n", - "epoch [ 81] L = 44.236133, acc = 0.835000\n", - "epoch [ 82] L = 44.106944, acc = 0.835000\n", - "epoch [ 83] L = 43.981245, acc = 0.835000\n", - "epoch [ 84] L = 43.858928, acc = 0.835000\n", - "epoch [ 85] L = 43.739889, acc = 0.835000\n", - "epoch [ 86] L = 43.624027, acc = 0.835000\n", - "epoch [ 87] L = 43.511245, acc = 0.835000\n", - "epoch [ 88] L = 43.401450, acc = 0.835000\n", - "epoch [ 89] L = 43.294551, acc = 0.835000\n", - "epoch [ 90] L = 43.190461, acc = 0.835000\n", - "epoch [ 91] L = 43.089097, acc = 0.835000\n", - "epoch [ 92] L = 42.990376, acc = 0.835000\n", - "epoch [ 93] L = 42.894222, acc = 0.835000\n", - "epoch [ 94] L = 42.800557, acc = 0.835000\n", - "epoch [ 95] L = 42.709308, acc = 0.835000\n", - "epoch [ 96] L = 42.620404, acc = 0.830000\n", - "epoch [ 97] L = 42.533777, acc = 0.835000\n", - "epoch [ 98] L = 42.449360, acc = 0.835000\n", - "epoch [ 99] L = 42.367088, acc = 0.835000\n", - "epoch [ 100] L = 42.286900, acc = 0.835000\n", - "epoch [ 101] L = 42.208734, acc = 0.835000\n", - "epoch [ 102] L = 42.132533, acc = 0.835000\n", - "epoch [ 103] L = 42.058239, acc = 0.835000\n", - "epoch [ 104] L = 41.985798, acc = 0.835000\n", - "epoch [ 105] L = 41.915156, acc = 0.835000\n", - "epoch [ 106] L = 41.846262, acc = 0.835000\n", - "epoch [ 107] L = 41.779066, acc = 0.835000\n", - "epoch [ 108] L = 41.713520, acc = 0.835000\n", - "epoch [ 109] L = 41.649576, acc = 0.835000\n", - "epoch [ 110] L = 41.587189, acc = 0.835000\n", - "epoch [ 111] L = 41.526315, acc = 0.835000\n", - "epoch [ 112] L = 41.466911, acc = 0.835000\n", - "epoch [ 113] L = 41.408936, acc = 0.835000\n", - "epoch [ 114] L = 41.352349, acc = 0.835000\n", - "epoch [ 115] L = 41.297112, acc = 0.835000\n", - "epoch [ 116] L = 41.243187, acc = 0.835000\n", - "epoch [ 117] L = 41.190536, acc = 0.835000\n", - "epoch [ 118] L = 41.139125, acc = 0.835000\n", - "epoch [ 119] L = 41.088920, acc = 0.835000\n", - "epoch [ 120] L = 41.039886, acc = 0.835000\n", - "epoch [ 121] L = 40.991992, acc = 0.835000\n", - "epoch [ 122] L = 40.945205, acc = 0.835000\n", - "epoch [ 123] L = 40.899496, acc = 0.835000\n", - "epoch [ 124] L = 40.854835, acc = 0.835000\n", - "epoch [ 125] L = 40.811194, acc = 0.835000\n", - "epoch [ 126] L = 40.768544, acc = 0.835000\n", - "epoch [ 127] L = 40.726859, acc = 0.835000\n", - "epoch [ 128] L = 40.686113, acc = 0.835000\n", - "epoch [ 129] L = 40.646280, acc = 0.835000\n", - "epoch [ 130] L = 40.607336, acc = 0.835000\n", - "epoch [ 131] L = 40.569257, acc = 0.840000\n", - "epoch [ 132] L = 40.532020, acc = 0.840000\n", - "epoch [ 133] L = 40.495602, acc = 0.840000\n", - "epoch [ 134] L = 40.459982, acc = 0.840000\n", - "epoch [ 135] L = 40.425138, acc = 0.840000\n", - "epoch [ 136] L = 40.391051, acc = 0.840000\n", - "epoch [ 137] L = 40.357701, acc = 0.840000\n", - "epoch [ 138] L = 40.325067, acc = 0.840000\n", - "epoch [ 139] L = 40.293132, acc = 0.840000\n", - "epoch [ 140] L = 40.261877, acc = 0.840000\n", - "epoch [ 141] L = 40.231285, acc = 0.845000\n", - "epoch [ 142] L = 40.201338, acc = 0.845000\n", - "epoch [ 143] L = 40.172021, acc = 0.845000\n", - "epoch [ 144] L = 40.143316, acc = 0.845000\n", - "epoch [ 145] L = 40.115210, acc = 0.845000\n", - "epoch [ 146] L = 40.087685, acc = 0.845000\n", - "epoch [ 147] L = 40.060728, acc = 0.845000\n", - "epoch [ 148] L = 40.034324, acc = 0.850000\n", - "epoch [ 149] L = 40.008459, acc = 0.850000\n", - "epoch [ 150] L = 39.983120, acc = 0.850000\n", - "epoch [ 151] L = 39.958295, acc = 0.850000\n", - "epoch [ 152] L = 39.933969, acc = 0.850000\n", - "epoch [ 153] L = 39.910131, acc = 0.850000\n", - "epoch [ 154] L = 39.886769, acc = 0.850000\n", - "epoch [ 155] L = 39.863871, acc = 0.850000\n", - "epoch [ 156] L = 39.841426, acc = 0.855000\n", - "epoch [ 157] L = 39.819423, acc = 0.855000\n", - "epoch [ 158] L = 39.797851, acc = 0.855000\n", - "epoch [ 159] L = 39.776699, acc = 0.855000\n", - "epoch [ 160] L = 39.755959, acc = 0.855000\n", - "epoch [ 161] L = 39.735619, acc = 0.855000\n", - "epoch [ 162] L = 39.715671, acc = 0.855000\n", - "epoch [ 163] L = 39.696104, acc = 0.855000\n", - "epoch [ 164] L = 39.676911, acc = 0.855000\n", - "epoch [ 165] L = 39.658082, acc = 0.855000\n", - "epoch [ 166] L = 39.639609, acc = 0.855000\n", - "epoch [ 167] L = 39.621483, acc = 0.855000\n", - "epoch [ 168] L = 39.603696, acc = 0.855000\n", - "epoch [ 169] L = 39.586241, acc = 0.855000\n", - "epoch [ 170] L = 39.569110, acc = 0.855000\n", - "epoch [ 171] L = 39.552296, acc = 0.855000\n", - "epoch [ 172] L = 39.535790, acc = 0.855000\n", - "epoch [ 173] L = 39.519587, acc = 0.855000\n", - "epoch [ 174] L = 39.503679, acc = 0.855000\n", - "epoch [ 175] L = 39.488060, acc = 0.855000\n", - "epoch [ 176] L = 39.472722, acc = 0.855000\n", - "epoch [ 177] L = 39.457661, acc = 0.855000\n", - "epoch [ 178] L = 39.442869, acc = 0.855000\n", - "epoch [ 179] L = 39.428341, acc = 0.855000\n", - "epoch [ 180] L = 39.414071, acc = 0.855000\n", - "epoch [ 181] L = 39.400052, acc = 0.855000\n", - "epoch [ 182] L = 39.386281, acc = 0.855000\n", - "epoch [ 183] L = 39.372750, acc = 0.855000\n", - "epoch [ 184] L = 39.359456, acc = 0.855000\n", - "epoch [ 185] L = 39.346392, acc = 0.855000\n", - "epoch [ 186] L = 39.333554, acc = 0.855000\n", - "epoch [ 187] L = 39.320937, acc = 0.855000\n", - "epoch [ 188] L = 39.308536, acc = 0.855000\n", - "epoch [ 189] L = 39.296346, acc = 0.855000\n", - "epoch [ 190] L = 39.284364, acc = 0.855000\n", - "epoch [ 191] L = 39.272584, acc = 0.855000\n", - "epoch [ 192] L = 39.261002, acc = 0.855000\n", - "epoch [ 193] L = 39.249614, acc = 0.855000\n", - "epoch [ 194] L = 39.238416, acc = 0.855000\n", - "epoch [ 195] L = 39.227405, acc = 0.855000\n", - "epoch [ 196] L = 39.216575, acc = 0.855000\n", - "epoch [ 197] L = 39.205924, acc = 0.855000\n", - "epoch [ 198] L = 39.195447, acc = 0.855000\n", - "epoch [ 199] L = 39.185142, acc = 0.855000\n", - "epoch [ 200] L = 39.175003, acc = 0.855000\n", - "epoch [ 201] L = 39.165029, acc = 0.855000\n", - "epoch [ 202] L = 39.155216, acc = 0.855000\n", - "epoch [ 203] L = 39.145560, acc = 0.855000\n", - "epoch [ 204] L = 39.136058, acc = 0.855000\n", - "epoch [ 205] L = 39.126707, acc = 0.855000\n", - "epoch [ 206] L = 39.117504, acc = 0.855000\n", - "epoch [ 207] L = 39.108446, acc = 0.855000\n", - "epoch [ 208] L = 39.099530, acc = 0.855000\n", - "epoch [ 209] L = 39.090753, acc = 0.855000\n", - "epoch [ 210] L = 39.082113, acc = 0.855000\n", - "epoch [ 211] L = 39.073606, acc = 0.855000\n", - "epoch [ 212] L = 39.065230, acc = 0.855000\n", - "epoch [ 213] L = 39.056983, acc = 0.855000\n", - "epoch [ 214] L = 39.048862, acc = 0.855000\n", - "epoch [ 215] L = 39.040864, acc = 0.855000\n", - "epoch [ 216] L = 39.032987, acc = 0.855000\n", - "epoch [ 217] L = 39.025229, acc = 0.855000\n", - "epoch [ 218] L = 39.017587, acc = 0.855000\n", - "epoch [ 219] L = 39.010059, acc = 0.855000\n", - "epoch [ 220] L = 39.002643, acc = 0.855000\n", - "epoch [ 221] L = 38.995337, acc = 0.855000\n", - "epoch [ 222] L = 38.988138, acc = 0.855000\n", - "epoch [ 223] L = 38.981045, acc = 0.855000\n", - "epoch [ 224] L = 38.974055, acc = 0.855000\n", - "epoch [ 225] L = 38.967166, acc = 0.855000\n", - "epoch [ 226] L = 38.960377, acc = 0.855000\n", - "epoch [ 227] L = 38.953686, acc = 0.855000\n", - "epoch [ 228] L = 38.947090, acc = 0.855000\n", - "epoch [ 229] L = 38.940588, acc = 0.855000\n", - "epoch [ 230] L = 38.934178, acc = 0.855000\n", - "epoch [ 231] L = 38.927859, acc = 0.855000\n", - "epoch [ 232] L = 38.921628, acc = 0.855000\n", - "epoch [ 233] L = 38.915484, acc = 0.855000\n", - "epoch [ 234] L = 38.909426, acc = 0.855000\n", - "epoch [ 235] L = 38.903452, acc = 0.855000\n", - "epoch [ 236] L = 38.897559, acc = 0.855000\n", - "epoch [ 237] L = 38.891747, acc = 0.855000\n", - "epoch [ 238] L = 38.886015, acc = 0.855000\n", - "epoch [ 239] L = 38.880360, acc = 0.855000\n", - "epoch [ 240] L = 38.874781, acc = 0.855000\n", - "epoch [ 241] L = 38.869278, acc = 0.855000\n", - "epoch [ 242] L = 38.863847, acc = 0.855000\n", - "epoch [ 243] L = 38.858489, acc = 0.855000\n", - "epoch [ 244] L = 38.853201, acc = 0.855000\n", - "epoch [ 245] L = 38.847983, acc = 0.855000\n", - "epoch [ 246] L = 38.842833, acc = 0.855000\n", - "epoch [ 247] L = 38.837750, acc = 0.855000\n", - "epoch [ 248] L = 38.832733, acc = 0.855000\n", - "epoch [ 249] L = 38.827780, acc = 0.855000\n", - "epoch [ 250] L = 38.822891, acc = 0.855000\n", - "epoch [ 251] L = 38.818063, acc = 0.855000\n", - "epoch [ 252] L = 38.813297, acc = 0.855000\n", - "epoch [ 253] L = 38.808591, acc = 0.855000\n", - "epoch [ 254] L = 38.803943, acc = 0.855000\n", - "epoch [ 255] L = 38.799354, acc = 0.855000\n", - "epoch [ 256] L = 38.794820, acc = 0.855000\n", - "epoch [ 257] L = 38.790343, acc = 0.855000\n", - "epoch [ 258] L = 38.785920, acc = 0.855000\n", - "epoch [ 259] L = 38.781552, acc = 0.855000\n", - "epoch [ 260] L = 38.777235, acc = 0.855000\n", - "epoch [ 261] L = 38.772971, acc = 0.855000\n", - "epoch [ 262] L = 38.768757, acc = 0.855000\n", - "epoch [ 263] L = 38.764594, acc = 0.855000\n", - "epoch [ 264] L = 38.760479, acc = 0.855000\n", - "epoch [ 265] L = 38.756413, acc = 0.855000\n", - "epoch [ 266] L = 38.752394, acc = 0.855000\n", - "epoch [ 267] L = 38.748421, acc = 0.855000\n", - "epoch [ 268] L = 38.744494, acc = 0.855000\n", - "epoch [ 269] L = 38.740612, acc = 0.855000\n", - "epoch [ 270] L = 38.736774, acc = 0.855000\n", - "epoch [ 271] L = 38.732979, acc = 0.855000\n", - "epoch [ 272] L = 38.729227, acc = 0.855000\n", - "epoch [ 273] L = 38.725516, acc = 0.855000\n", - "epoch [ 274] L = 38.721846, acc = 0.855000\n", - "epoch [ 275] L = 38.718217, acc = 0.855000\n", - "epoch [ 276] L = 38.714626, acc = 0.855000\n", - "epoch [ 277] L = 38.711075, acc = 0.855000\n", - "epoch [ 278] L = 38.707562, acc = 0.855000\n", - "epoch [ 279] L = 38.704087, acc = 0.855000\n", - "epoch [ 280] L = 38.700648, acc = 0.855000\n", - "epoch [ 281] L = 38.697245, acc = 0.855000\n", - "epoch [ 282] L = 38.693878, acc = 0.855000\n", - "epoch [ 283] L = 38.690545, acc = 0.855000\n", - "epoch [ 284] L = 38.687247, acc = 0.855000\n", - "epoch [ 285] L = 38.683983, acc = 0.855000\n", - "epoch [ 286] L = 38.680751, acc = 0.855000\n", - "epoch [ 287] L = 38.677552, acc = 0.855000\n", - "epoch [ 288] L = 38.674385, acc = 0.855000\n", - "epoch [ 289] L = 38.671249, acc = 0.855000\n", - "epoch [ 290] L = 38.668144, acc = 0.855000\n", - "epoch [ 291] L = 38.665069, acc = 0.855000\n", - "epoch [ 292] L = 38.662024, acc = 0.855000\n", - "epoch [ 293] L = 38.659008, acc = 0.855000\n", - "epoch [ 294] L = 38.656020, acc = 0.855000\n", - "epoch [ 295] L = 38.653061, acc = 0.855000\n", - "epoch [ 296] L = 38.650129, acc = 0.855000\n", - "epoch [ 297] L = 38.647224, acc = 0.855000\n", - "epoch [ 298] L = 38.644346, acc = 0.855000\n", - "epoch [ 299] L = 38.641494, acc = 0.855000\n", - "epoch [ 300] L = 38.638668, acc = 0.855000\n", - "epoch [ 301] L = 38.635867, acc = 0.855000\n", - "epoch [ 302] L = 38.633091, acc = 0.855000\n", - "epoch [ 303] L = 38.630339, acc = 0.855000\n", - "epoch [ 304] L = 38.627611, acc = 0.855000\n", - "epoch [ 305] L = 38.624906, acc = 0.855000\n", - "epoch [ 306] L = 38.622225, acc = 0.855000\n", - "epoch [ 307] L = 38.619566, acc = 0.855000\n", - "epoch [ 308] L = 38.616929, acc = 0.855000\n", - "epoch [ 309] L = 38.614314, acc = 0.855000\n", - "epoch [ 310] L = 38.611720, acc = 0.855000\n", - "epoch [ 311] L = 38.609148, acc = 0.855000\n", - "epoch [ 312] L = 38.606596, acc = 0.855000\n", - "epoch [ 313] L = 38.604064, acc = 0.855000\n", - "epoch [ 314] L = 38.601552, acc = 0.855000\n", - "epoch [ 315] L = 38.599060, acc = 0.855000\n", - "epoch [ 316] L = 38.596587, acc = 0.855000\n", - "epoch [ 317] L = 38.594133, acc = 0.855000\n", - "epoch [ 318] L = 38.591697, acc = 0.855000\n", - "epoch [ 319] L = 38.589279, acc = 0.855000\n", - "epoch [ 320] L = 38.586879, acc = 0.855000\n", - "epoch [ 321] L = 38.584497, acc = 0.855000\n", - "epoch [ 322] L = 38.582131, acc = 0.855000\n", - "epoch [ 323] L = 38.579783, acc = 0.855000\n", - "epoch [ 324] L = 38.577451, acc = 0.855000\n", - "epoch [ 325] L = 38.575135, acc = 0.855000\n", - "epoch [ 326] L = 38.572835, acc = 0.855000\n", - "epoch [ 327] L = 38.570550, acc = 0.855000\n", - "epoch [ 328] L = 38.568281, acc = 0.855000\n", - "epoch [ 329] L = 38.566027, acc = 0.855000\n", - "epoch [ 330] L = 38.563787, acc = 0.855000\n", - "epoch [ 331] L = 38.561562, acc = 0.855000\n", - "epoch [ 332] L = 38.559351, acc = 0.855000\n", - "epoch [ 333] L = 38.557154, acc = 0.855000\n", - "epoch [ 334] L = 38.554970, acc = 0.855000\n", - "epoch [ 335] L = 38.552800, acc = 0.855000\n", - "epoch [ 336] L = 38.550643, acc = 0.855000\n", - "epoch [ 337] L = 38.548498, acc = 0.855000\n", - "epoch [ 338] L = 38.546366, acc = 0.855000\n", - "epoch [ 339] L = 38.544247, acc = 0.855000\n", - "epoch [ 340] L = 38.542139, acc = 0.855000\n", - "epoch [ 341] L = 38.540043, acc = 0.855000\n", - "epoch [ 342] L = 38.537959, acc = 0.855000\n", - "epoch [ 343] L = 38.535886, acc = 0.855000\n", - "epoch [ 344] L = 38.533824, acc = 0.855000\n", - "epoch [ 345] L = 38.531773, acc = 0.855000\n", - "epoch [ 346] L = 38.529733, acc = 0.855000\n", - "epoch [ 347] L = 38.527703, acc = 0.855000\n", - "epoch [ 348] L = 38.525683, acc = 0.855000\n", - "epoch [ 349] L = 38.523673, acc = 0.855000\n", - "epoch [ 350] L = 38.521673, acc = 0.855000\n", - "epoch [ 351] L = 38.519682, acc = 0.855000\n", - "epoch [ 352] L = 38.517701, acc = 0.855000\n", - "epoch [ 353] L = 38.515729, acc = 0.855000\n", - "epoch [ 354] L = 38.513766, acc = 0.860000\n", - "epoch [ 355] L = 38.511812, acc = 0.860000\n", - "epoch [ 356] L = 38.509866, acc = 0.860000\n", - "epoch [ 357] L = 38.507928, acc = 0.860000\n", - "epoch [ 358] L = 38.505999, acc = 0.860000\n", - "epoch [ 359] L = 38.504077, acc = 0.860000\n", - "epoch [ 360] L = 38.502164, acc = 0.860000\n", - "epoch [ 361] L = 38.500258, acc = 0.860000\n", - "epoch [ 362] L = 38.498359, acc = 0.860000\n", - "epoch [ 363] L = 38.496467, acc = 0.860000\n", - "epoch [ 364] L = 38.494583, acc = 0.860000\n", - "epoch [ 365] L = 38.492705, acc = 0.860000\n", - "epoch [ 366] L = 38.490835, acc = 0.860000\n", - "epoch [ 367] L = 38.488970, acc = 0.860000\n", - "epoch [ 368] L = 38.487112, acc = 0.860000\n", - "epoch [ 369] L = 38.485261, acc = 0.860000\n", - "epoch [ 370] L = 38.483415, acc = 0.860000\n", - "epoch [ 371] L = 38.481575, acc = 0.860000\n", - "epoch [ 372] L = 38.479741, acc = 0.860000\n", - "epoch [ 373] L = 38.477913, acc = 0.860000\n", - "epoch [ 374] L = 38.476090, acc = 0.860000\n", - "epoch [ 375] L = 38.474272, acc = 0.860000\n", - "epoch [ 376] L = 38.472459, acc = 0.860000\n", - "epoch [ 377] L = 38.470652, acc = 0.860000\n", - "epoch [ 378] L = 38.468849, acc = 0.860000\n", - "epoch [ 379] L = 38.467051, acc = 0.860000\n", - "epoch [ 380] L = 38.465257, acc = 0.860000\n", - "epoch [ 381] L = 38.463468, acc = 0.860000\n", - "epoch [ 382] L = 38.461683, acc = 0.860000\n", - "epoch [ 383] L = 38.459902, acc = 0.860000\n", - "epoch [ 384] L = 38.458125, acc = 0.860000\n", - "epoch [ 385] L = 38.456352, acc = 0.860000\n", - "epoch [ 386] L = 38.454582, acc = 0.860000\n", - "epoch [ 387] L = 38.452816, acc = 0.860000\n", - "epoch [ 388] L = 38.451054, acc = 0.860000\n", - "epoch [ 389] L = 38.449295, acc = 0.860000\n", - "epoch [ 390] L = 38.447539, acc = 0.855000\n", - "epoch [ 391] L = 38.445786, acc = 0.855000\n", - "epoch [ 392] L = 38.444036, acc = 0.855000\n", - "epoch [ 393] L = 38.442289, acc = 0.855000\n", - "epoch [ 394] L = 38.440545, acc = 0.855000\n", - "epoch [ 395] L = 38.438803, acc = 0.855000\n", - "epoch [ 396] L = 38.437064, acc = 0.855000\n", - "epoch [ 397] L = 38.435327, acc = 0.855000\n", - "epoch [ 398] L = 38.433592, acc = 0.855000\n", - "epoch [ 399] L = 38.431860, acc = 0.855000\n", - "epoch [ 400] L = 38.430129, acc = 0.855000\n", - "epoch [ 401] L = 38.428400, acc = 0.855000\n", - "epoch [ 402] L = 38.426673, acc = 0.855000\n", - "epoch [ 403] L = 38.424948, acc = 0.855000\n", - "epoch [ 404] L = 38.423224, acc = 0.855000\n", - "epoch [ 405] L = 38.421502, acc = 0.855000\n", - "epoch [ 406] L = 38.419781, acc = 0.855000\n", - "epoch [ 407] L = 38.418061, acc = 0.855000\n", - "epoch [ 408] L = 38.416343, acc = 0.855000\n", - "epoch [ 409] L = 38.414625, acc = 0.855000\n", - "epoch [ 410] L = 38.412909, acc = 0.855000\n", - "epoch [ 411] L = 38.411193, acc = 0.855000\n", - "epoch [ 412] L = 38.409478, acc = 0.855000\n", - "epoch [ 413] L = 38.407764, acc = 0.855000\n", - "epoch [ 414] L = 38.406050, acc = 0.855000\n", - "epoch [ 415] L = 38.404337, acc = 0.855000\n", - "epoch [ 416] L = 38.402624, acc = 0.855000\n", - "epoch [ 417] L = 38.400911, acc = 0.855000\n", - "epoch [ 418] L = 38.399198, acc = 0.855000\n", - "epoch [ 419] L = 38.397486, acc = 0.855000\n", - "epoch [ 420] L = 38.395773, acc = 0.855000\n", - "epoch [ 421] L = 38.394061, acc = 0.855000\n", - "epoch [ 422] L = 38.392348, acc = 0.855000\n", - "epoch [ 423] L = 38.390634, acc = 0.855000\n", - "epoch [ 424] L = 38.388921, acc = 0.855000\n", - "epoch [ 425] L = 38.387207, acc = 0.855000\n", - "epoch [ 426] L = 38.385492, acc = 0.855000\n", - "epoch [ 427] L = 38.383777, acc = 0.855000\n", - "epoch [ 428] L = 38.382061, acc = 0.860000\n", - "epoch [ 429] L = 38.380344, acc = 0.860000\n", - "epoch [ 430] L = 38.378626, acc = 0.860000\n", - "epoch [ 431] L = 38.376907, acc = 0.860000\n", - "epoch [ 432] L = 38.375188, acc = 0.860000\n", - "epoch [ 433] L = 38.373467, acc = 0.860000\n", - "epoch [ 434] L = 38.371744, acc = 0.860000\n", - "epoch [ 435] L = 38.370021, acc = 0.860000\n", - "epoch [ 436] L = 38.368296, acc = 0.860000\n", - "epoch [ 437] L = 38.366569, acc = 0.860000\n", - "epoch [ 438] L = 38.364841, acc = 0.860000\n", - "epoch [ 439] L = 38.363112, acc = 0.860000\n", - "epoch [ 440] L = 38.361380, acc = 0.860000\n", - "epoch [ 441] L = 38.359647, acc = 0.860000\n", - "epoch [ 442] L = 38.357912, acc = 0.860000\n", - "epoch [ 443] L = 38.356175, acc = 0.860000\n", - "epoch [ 444] L = 38.354436, acc = 0.860000\n", - "epoch [ 445] L = 38.352695, acc = 0.860000\n", - "epoch [ 446] L = 38.350952, acc = 0.860000\n", - "epoch [ 447] L = 38.349206, acc = 0.860000\n", - "epoch [ 448] L = 38.347459, acc = 0.860000\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch [ 449] L = 38.345708, acc = 0.860000\n", - "epoch [ 450] L = 38.343956, acc = 0.860000\n", - "epoch [ 451] L = 38.342200, acc = 0.860000\n", - "epoch [ 452] L = 38.340443, acc = 0.860000\n", - "epoch [ 453] L = 38.338682, acc = 0.860000\n", - "epoch [ 454] L = 38.336919, acc = 0.860000\n", - "epoch [ 455] L = 38.335153, acc = 0.860000\n", - "epoch [ 456] L = 38.333384, acc = 0.860000\n", - "epoch [ 457] L = 38.331612, acc = 0.860000\n", - "epoch [ 458] L = 38.329836, acc = 0.860000\n", - "epoch [ 459] L = 38.328058, acc = 0.860000\n", - "epoch [ 460] L = 38.326277, acc = 0.860000\n", - "epoch [ 461] L = 38.324492, acc = 0.860000\n", - "epoch [ 462] L = 38.322704, acc = 0.860000\n", - "epoch [ 463] L = 38.320913, acc = 0.860000\n", - "epoch [ 464] L = 38.319118, acc = 0.860000\n", - "epoch [ 465] L = 38.317320, acc = 0.860000\n", - "epoch [ 466] L = 38.315518, acc = 0.860000\n", - "epoch [ 467] L = 38.313713, acc = 0.860000\n", - "epoch [ 468] L = 38.311904, acc = 0.860000\n", - "epoch [ 469] L = 38.310091, acc = 0.860000\n", - "epoch [ 470] L = 38.308274, acc = 0.860000\n", - "epoch [ 471] L = 38.306453, acc = 0.860000\n", - "epoch [ 472] L = 38.304628, acc = 0.860000\n", - "epoch [ 473] L = 38.302800, acc = 0.860000\n", - "epoch [ 474] L = 38.300967, acc = 0.860000\n", - "epoch [ 475] L = 38.299130, acc = 0.860000\n", - "epoch [ 476] L = 38.297288, acc = 0.860000\n", - "epoch [ 477] L = 38.295443, acc = 0.860000\n", - "epoch [ 478] L = 38.293593, acc = 0.860000\n", - "epoch [ 479] L = 38.291738, acc = 0.860000\n", - "epoch [ 480] L = 38.289879, acc = 0.860000\n", - "epoch [ 481] L = 38.288016, acc = 0.860000\n", - "epoch [ 482] L = 38.286148, acc = 0.860000\n", - "epoch [ 483] L = 38.284275, acc = 0.860000\n", - "epoch [ 484] L = 38.282397, acc = 0.860000\n", - "epoch [ 485] L = 38.280515, acc = 0.860000\n", - "epoch [ 486] L = 38.278628, acc = 0.860000\n", - "epoch [ 487] L = 38.276736, acc = 0.860000\n", - "epoch [ 488] L = 38.274839, acc = 0.860000\n", - "epoch [ 489] L = 38.272936, acc = 0.860000\n", - "epoch [ 490] L = 38.271029, acc = 0.860000\n", - "epoch [ 491] L = 38.269116, acc = 0.860000\n", - "epoch [ 492] L = 38.267199, acc = 0.860000\n", - "epoch [ 493] L = 38.265276, acc = 0.860000\n", - "epoch [ 494] L = 38.263347, acc = 0.865000\n", - "epoch [ 495] L = 38.261413, acc = 0.865000\n", - "epoch [ 496] L = 38.259474, acc = 0.865000\n", - "epoch [ 497] L = 38.257529, acc = 0.865000\n", - "epoch [ 498] L = 38.255578, acc = 0.865000\n", - "epoch [ 499] L = 38.253622, acc = 0.865000\n", - "epoch [ 500] L = 38.251660, acc = 0.865000\n", - "epoch [ 501] L = 38.249692, acc = 0.865000\n", - "epoch [ 502] L = 38.247719, acc = 0.865000\n", - "epoch [ 503] L = 38.245739, acc = 0.865000\n", - "epoch [ 504] L = 38.243753, acc = 0.865000\n", - "epoch [ 505] L = 38.241762, acc = 0.865000\n", - "epoch [ 506] L = 38.239764, acc = 0.865000\n", - "epoch [ 507] L = 38.237760, acc = 0.865000\n", - "epoch [ 508] L = 38.235750, acc = 0.865000\n", - "epoch [ 509] L = 38.233733, acc = 0.865000\n", - "epoch [ 510] L = 38.231711, acc = 0.865000\n", - "epoch [ 511] L = 38.229681, acc = 0.865000\n", - "epoch [ 512] L = 38.227646, acc = 0.865000\n", - "epoch [ 513] L = 38.225603, acc = 0.865000\n", - "epoch [ 514] L = 38.223554, acc = 0.865000\n", - "epoch [ 515] L = 38.221499, acc = 0.865000\n", - "epoch [ 516] L = 38.219437, acc = 0.865000\n", - "epoch [ 517] L = 38.217368, acc = 0.865000\n", - "epoch [ 518] L = 38.215292, acc = 0.865000\n", - "epoch [ 519] L = 38.213209, acc = 0.865000\n", - "epoch [ 520] L = 38.211119, acc = 0.865000\n", - "epoch [ 521] L = 38.209022, acc = 0.865000\n", - "epoch [ 522] L = 38.206918, acc = 0.865000\n", - "epoch [ 523] L = 38.204807, acc = 0.865000\n", - "epoch [ 524] L = 38.202689, acc = 0.865000\n", - "epoch [ 525] L = 38.200563, acc = 0.865000\n", - "epoch [ 526] L = 38.198431, acc = 0.865000\n", - "epoch [ 527] L = 38.196290, acc = 0.865000\n", - "epoch [ 528] L = 38.194142, acc = 0.865000\n", - "epoch [ 529] L = 38.191987, acc = 0.865000\n", - "epoch [ 530] L = 38.189824, acc = 0.865000\n", - "epoch [ 531] L = 38.187653, acc = 0.865000\n", - "epoch [ 532] L = 38.185475, acc = 0.865000\n", - "epoch [ 533] L = 38.183289, acc = 0.865000\n", - "epoch [ 534] L = 38.181095, acc = 0.865000\n", - "epoch [ 535] L = 38.178893, acc = 0.865000\n", - "epoch [ 536] L = 38.176683, acc = 0.865000\n", - "epoch [ 537] L = 38.174465, acc = 0.865000\n", - "epoch [ 538] L = 38.172239, acc = 0.865000\n", - "epoch [ 539] L = 38.170005, acc = 0.865000\n", - "epoch [ 540] L = 38.167762, acc = 0.865000\n", - "epoch [ 541] L = 38.165512, acc = 0.865000\n", - "epoch [ 542] L = 38.163252, acc = 0.865000\n", - "epoch [ 543] L = 38.160985, acc = 0.865000\n", - "epoch [ 544] L = 38.158709, acc = 0.865000\n", - "epoch [ 545] L = 38.156424, acc = 0.865000\n", - "epoch [ 546] L = 38.154131, acc = 0.865000\n", - "epoch [ 547] L = 38.151829, acc = 0.865000\n", - "epoch [ 548] L = 38.149518, acc = 0.865000\n", - "epoch [ 549] L = 38.147198, acc = 0.865000\n", - "epoch [ 550] L = 38.144870, acc = 0.865000\n", - "epoch [ 551] L = 38.142532, acc = 0.865000\n", - "epoch [ 552] L = 38.140186, acc = 0.865000\n", - "epoch [ 553] L = 38.137830, acc = 0.865000\n", - "epoch [ 554] L = 38.135465, acc = 0.865000\n", - "epoch [ 555] L = 38.133091, acc = 0.865000\n", - "epoch [ 556] L = 38.130708, acc = 0.865000\n", - "epoch [ 557] L = 38.128315, acc = 0.865000\n", - "epoch [ 558] L = 38.125913, acc = 0.865000\n", - "epoch [ 559] L = 38.123502, acc = 0.865000\n", - "epoch [ 560] L = 38.121080, acc = 0.865000\n", - "epoch [ 561] L = 38.118649, acc = 0.865000\n", - "epoch [ 562] L = 38.116209, acc = 0.865000\n", - "epoch [ 563] L = 38.113758, acc = 0.865000\n", - "epoch [ 564] L = 38.111298, acc = 0.865000\n", - "epoch [ 565] L = 38.108828, acc = 0.865000\n", - "epoch [ 566] L = 38.106348, acc = 0.865000\n", - "epoch [ 567] L = 38.103857, acc = 0.865000\n", - "epoch [ 568] L = 38.101357, acc = 0.865000\n", - "epoch [ 569] L = 38.098846, acc = 0.865000\n", - "epoch [ 570] L = 38.096325, acc = 0.865000\n", - "epoch [ 571] L = 38.093794, acc = 0.865000\n", - "epoch [ 572] L = 38.091252, acc = 0.865000\n", - "epoch [ 573] L = 38.088699, acc = 0.865000\n", - "epoch [ 574] L = 38.086136, acc = 0.865000\n", - "epoch [ 575] L = 38.083563, acc = 0.865000\n", - "epoch [ 576] L = 38.080978, acc = 0.865000\n", - "epoch [ 577] L = 38.078383, acc = 0.865000\n", - "epoch [ 578] L = 38.075777, acc = 0.865000\n", - "epoch [ 579] L = 38.073160, acc = 0.865000\n", - "epoch [ 580] L = 38.070532, acc = 0.865000\n", - "epoch [ 581] L = 38.067893, acc = 0.865000\n", - "epoch [ 582] L = 38.065242, acc = 0.865000\n", - "epoch [ 583] L = 38.062581, acc = 0.865000\n", - "epoch [ 584] L = 38.059907, acc = 0.865000\n", - "epoch [ 585] L = 38.057223, acc = 0.865000\n", - "epoch [ 586] L = 38.054527, acc = 0.865000\n", - "epoch [ 587] L = 38.051819, acc = 0.865000\n", - "epoch [ 588] L = 38.049100, acc = 0.865000\n", - "epoch [ 589] L = 38.046369, acc = 0.865000\n", - "epoch [ 590] L = 38.043626, acc = 0.865000\n", - "epoch [ 591] L = 38.040871, acc = 0.865000\n", - "epoch [ 592] L = 38.038104, acc = 0.865000\n", - "epoch [ 593] L = 38.035326, acc = 0.865000\n", - "epoch [ 594] L = 38.032534, acc = 0.865000\n", - "epoch [ 595] L = 38.029731, acc = 0.865000\n", - "epoch [ 596] L = 38.026916, acc = 0.865000\n", - "epoch [ 597] L = 38.024088, acc = 0.865000\n", - "epoch [ 598] L = 38.021247, acc = 0.865000\n", - "epoch [ 599] L = 38.018394, acc = 0.865000\n", - "epoch [ 600] L = 38.015528, acc = 0.865000\n", - "epoch [ 601] L = 38.012650, acc = 0.865000\n", - "epoch [ 602] L = 38.009758, acc = 0.865000\n", - "epoch [ 603] L = 38.006854, acc = 0.865000\n", - "epoch [ 604] L = 38.003937, acc = 0.865000\n", - "epoch [ 605] L = 38.001006, acc = 0.865000\n", - "epoch [ 606] L = 37.998063, acc = 0.865000\n", - "epoch [ 607] L = 37.995106, acc = 0.865000\n", - "epoch [ 608] L = 37.992136, acc = 0.865000\n", - "epoch [ 609] L = 37.989152, acc = 0.865000\n", - "epoch [ 610] L = 37.986155, acc = 0.865000\n", - "epoch [ 611] L = 37.983144, acc = 0.865000\n", - "epoch [ 612] L = 37.980120, acc = 0.865000\n", - "epoch [ 613] L = 37.977081, acc = 0.865000\n", - "epoch [ 614] L = 37.974029, acc = 0.865000\n", - "epoch [ 615] L = 37.970963, acc = 0.865000\n", - "epoch [ 616] L = 37.967882, acc = 0.865000\n", - "epoch [ 617] L = 37.964788, acc = 0.865000\n", - "epoch [ 618] L = 37.961679, acc = 0.865000\n", - "epoch [ 619] L = 37.958556, acc = 0.865000\n", - "epoch [ 620] L = 37.955418, acc = 0.865000\n", - "epoch [ 621] L = 37.952266, acc = 0.865000\n", - "epoch [ 622] L = 37.949099, acc = 0.865000\n", - "epoch [ 623] L = 37.945918, acc = 0.865000\n", - "epoch [ 624] L = 37.942721, acc = 0.865000\n", - "epoch [ 625] L = 37.939510, acc = 0.865000\n", - "epoch [ 626] L = 37.936284, acc = 0.865000\n", - "epoch [ 627] L = 37.933042, acc = 0.865000\n", - "epoch [ 628] L = 37.929785, acc = 0.865000\n", - "epoch [ 629] L = 37.926513, acc = 0.865000\n", - "epoch [ 630] L = 37.923226, acc = 0.865000\n", - "epoch [ 631] L = 37.919923, acc = 0.865000\n", - "epoch [ 632] L = 37.916604, acc = 0.865000\n", - "epoch [ 633] L = 37.913269, acc = 0.865000\n", - "epoch [ 634] L = 37.909919, acc = 0.865000\n", - "epoch [ 635] L = 37.906553, acc = 0.865000\n", - "epoch [ 636] L = 37.903171, acc = 0.865000\n", - "epoch [ 637] L = 37.899772, acc = 0.865000\n", - "epoch [ 638] L = 37.896358, acc = 0.865000\n", - "epoch [ 639] L = 37.892926, acc = 0.865000\n", - "epoch [ 640] L = 37.889479, acc = 0.865000\n", - "epoch [ 641] L = 37.886015, acc = 0.865000\n", - "epoch [ 642] L = 37.882534, acc = 0.865000\n", - "epoch [ 643] L = 37.879037, acc = 0.865000\n", - "epoch [ 644] L = 37.875522, acc = 0.865000\n", - "epoch [ 645] L = 37.871991, acc = 0.865000\n", - "epoch [ 646] L = 37.868442, acc = 0.865000\n", - "epoch [ 647] L = 37.864876, acc = 0.865000\n", - "epoch [ 648] L = 37.861293, acc = 0.865000\n", - "epoch [ 649] L = 37.857693, acc = 0.865000\n", - "epoch [ 650] L = 37.854075, acc = 0.865000\n", - "epoch [ 651] L = 37.850439, acc = 0.865000\n", - "epoch [ 652] L = 37.846785, acc = 0.865000\n", - "epoch [ 653] L = 37.843114, acc = 0.865000\n", - "epoch [ 654] L = 37.839425, acc = 0.865000\n", - "epoch [ 655] L = 37.835717, acc = 0.865000\n", - "epoch [ 656] L = 37.831991, acc = 0.865000\n", - "epoch [ 657] L = 37.828247, acc = 0.865000\n", - "epoch [ 658] L = 37.824485, acc = 0.865000\n", - "epoch [ 659] L = 37.820704, acc = 0.865000\n", - "epoch [ 660] L = 37.816904, acc = 0.865000\n", - "epoch [ 661] L = 37.813085, acc = 0.865000\n", - "epoch [ 662] L = 37.809248, acc = 0.865000\n", - "epoch [ 663] L = 37.805391, acc = 0.865000\n", - "epoch [ 664] L = 37.801516, acc = 0.865000\n", - "epoch [ 665] L = 37.797621, acc = 0.865000\n", - "epoch [ 666] L = 37.793706, acc = 0.865000\n", - "epoch [ 667] L = 37.789772, acc = 0.865000\n", - "epoch [ 668] L = 37.785819, acc = 0.865000\n", - "epoch [ 669] L = 37.781846, acc = 0.865000\n", - "epoch [ 670] L = 37.777852, acc = 0.865000\n", - "epoch [ 671] L = 37.773839, acc = 0.865000\n", - "epoch [ 672] L = 37.769806, acc = 0.865000\n", - "epoch [ 673] L = 37.765752, acc = 0.865000\n", - "epoch [ 674] L = 37.761678, acc = 0.865000\n", - "epoch [ 675] L = 37.757584, acc = 0.865000\n", - "epoch [ 676] L = 37.753469, acc = 0.865000\n", - "epoch [ 677] L = 37.749333, acc = 0.865000\n", - "epoch [ 678] L = 37.745176, acc = 0.865000\n", - "epoch [ 679] L = 37.740999, acc = 0.865000\n", - "epoch [ 680] L = 37.736800, acc = 0.865000\n", - "epoch [ 681] L = 37.732580, acc = 0.865000\n", - "epoch [ 682] L = 37.728338, acc = 0.865000\n", - "epoch [ 683] L = 37.724075, acc = 0.865000\n", - "epoch [ 684] L = 37.719791, acc = 0.865000\n", - "epoch [ 685] L = 37.715484, acc = 0.865000\n", - "epoch [ 686] L = 37.711156, acc = 0.865000\n", - "epoch [ 687] L = 37.706806, acc = 0.865000\n", - "epoch [ 688] L = 37.702433, acc = 0.865000\n", - "epoch [ 689] L = 37.698038, acc = 0.865000\n", - "epoch [ 690] L = 37.693621, acc = 0.865000\n", - "epoch [ 691] L = 37.689181, acc = 0.865000\n", - "epoch [ 692] L = 37.684719, acc = 0.865000\n", - "epoch [ 693] L = 37.680233, acc = 0.865000\n", - "epoch [ 694] L = 37.675725, acc = 0.865000\n", - "epoch [ 695] L = 37.671193, acc = 0.865000\n", - "epoch [ 696] L = 37.666639, acc = 0.865000\n", - "epoch [ 697] L = 37.662061, acc = 0.865000\n", - "epoch [ 698] L = 37.657459, acc = 0.865000\n", - "epoch [ 699] L = 37.652834, acc = 0.865000\n", - "epoch [ 700] L = 37.648185, acc = 0.865000\n", - "epoch [ 701] L = 37.643512, acc = 0.865000\n", - "epoch [ 702] L = 37.638815, acc = 0.865000\n", - "epoch [ 703] L = 37.634093, acc = 0.865000\n", - "epoch [ 704] L = 37.629348, acc = 0.865000\n", - "epoch [ 705] L = 37.624578, acc = 0.865000\n", - "epoch [ 706] L = 37.619783, acc = 0.865000\n", - "epoch [ 707] L = 37.614964, acc = 0.865000\n", - "epoch [ 708] L = 37.610119, acc = 0.860000\n", - "epoch [ 709] L = 37.605250, acc = 0.860000\n", - "epoch [ 710] L = 37.600355, acc = 0.860000\n", - "epoch [ 711] L = 37.595435, acc = 0.860000\n", - "epoch [ 712] L = 37.590490, acc = 0.860000\n", - "epoch [ 713] L = 37.585519, acc = 0.860000\n", - "epoch [ 714] L = 37.580522, acc = 0.860000\n", - "epoch [ 715] L = 37.575499, acc = 0.860000\n", - "epoch [ 716] L = 37.570450, acc = 0.860000\n", - "epoch [ 717] L = 37.565375, acc = 0.860000\n", - "epoch [ 718] L = 37.560274, acc = 0.860000\n", - "epoch [ 719] L = 37.555146, acc = 0.860000\n", - "epoch [ 720] L = 37.549992, acc = 0.860000\n", - "epoch [ 721] L = 37.544811, acc = 0.860000\n", - "epoch [ 722] L = 37.539602, acc = 0.860000\n", - "epoch [ 723] L = 37.534367, acc = 0.860000\n", - "epoch [ 724] L = 37.529105, acc = 0.860000\n", - "epoch [ 725] L = 37.523815, acc = 0.860000\n", - "epoch [ 726] L = 37.518497, acc = 0.860000\n", - "epoch [ 727] L = 37.513152, acc = 0.860000\n", - "epoch [ 728] L = 37.507780, acc = 0.860000\n", - "epoch [ 729] L = 37.502379, acc = 0.860000\n", - "epoch [ 730] L = 37.496950, acc = 0.860000\n", - "epoch [ 731] L = 37.491493, acc = 0.860000\n", - "epoch [ 732] L = 37.486007, acc = 0.860000\n", - "epoch [ 733] L = 37.480493, acc = 0.860000\n", - "epoch [ 734] L = 37.474950, acc = 0.860000\n", - "epoch [ 735] L = 37.469378, acc = 0.860000\n", - "epoch [ 736] L = 37.463778, acc = 0.860000\n", - "epoch [ 737] L = 37.458148, acc = 0.860000\n", - "epoch [ 738] L = 37.452488, acc = 0.860000\n", - "epoch [ 739] L = 37.446800, acc = 0.860000\n", - "epoch [ 740] L = 37.441081, acc = 0.860000\n", - "epoch [ 741] L = 37.435333, acc = 0.860000\n", - "epoch [ 742] L = 37.429555, acc = 0.860000\n", - "epoch [ 743] L = 37.423747, acc = 0.860000\n", - "epoch [ 744] L = 37.417909, acc = 0.860000\n", - "epoch [ 745] L = 37.412040, acc = 0.860000\n", - "epoch [ 746] L = 37.406141, acc = 0.860000\n", - "epoch [ 747] L = 37.400211, acc = 0.860000\n", - "epoch [ 748] L = 37.394250, acc = 0.860000\n", - "epoch [ 749] L = 37.388258, acc = 0.860000\n", - "epoch [ 750] L = 37.382235, acc = 0.860000\n", - "epoch [ 751] L = 37.376181, acc = 0.860000\n", - "epoch [ 752] L = 37.370095, acc = 0.860000\n", - "epoch [ 753] L = 37.363978, acc = 0.860000\n", - "epoch [ 754] L = 37.357829, acc = 0.860000\n", - "epoch [ 755] L = 37.351648, acc = 0.860000\n", - "epoch [ 756] L = 37.345435, acc = 0.860000\n", - "epoch [ 757] L = 37.339189, acc = 0.860000\n", - "epoch [ 758] L = 37.332912, acc = 0.860000\n", - "epoch [ 759] L = 37.326601, acc = 0.860000\n", - "epoch [ 760] L = 37.320259, acc = 0.860000\n", - "epoch [ 761] L = 37.313883, acc = 0.860000\n", - "epoch [ 762] L = 37.307474, acc = 0.860000\n", - "epoch [ 763] L = 37.301032, acc = 0.860000\n", - "epoch [ 764] L = 37.294557, acc = 0.860000\n", - "epoch [ 765] L = 37.288048, acc = 0.860000\n", - "epoch [ 766] L = 37.281506, acc = 0.860000\n", - "epoch [ 767] L = 37.274930, acc = 0.860000\n", - "epoch [ 768] L = 37.268320, acc = 0.860000\n", - "epoch [ 769] L = 37.261676, acc = 0.860000\n", - "epoch [ 770] L = 37.254998, acc = 0.860000\n", - "epoch [ 771] L = 37.248285, acc = 0.860000\n", - "epoch [ 772] L = 37.241538, acc = 0.860000\n", - "epoch [ 773] L = 37.234756, acc = 0.860000\n", - "epoch [ 774] L = 37.227940, acc = 0.860000\n", - "epoch [ 775] L = 37.221088, acc = 0.860000\n", - "epoch [ 776] L = 37.214201, acc = 0.860000\n", - "epoch [ 777] L = 37.207279, acc = 0.860000\n", - "epoch [ 778] L = 37.200322, acc = 0.860000\n", - "epoch [ 779] L = 37.193329, acc = 0.860000\n", - "epoch [ 780] L = 37.186300, acc = 0.860000\n", - "epoch [ 781] L = 37.179235, acc = 0.860000\n", - "epoch [ 782] L = 37.172134, acc = 0.860000\n", - "epoch [ 783] L = 37.164997, acc = 0.860000\n", - "epoch [ 784] L = 37.157824, acc = 0.860000\n", - "epoch [ 785] L = 37.150614, acc = 0.860000\n", - "epoch [ 786] L = 37.143368, acc = 0.860000\n", - "epoch [ 787] L = 37.136085, acc = 0.860000\n", - "epoch [ 788] L = 37.128764, acc = 0.860000\n", - "epoch [ 789] L = 37.121407, acc = 0.860000\n", - "epoch [ 790] L = 37.114013, acc = 0.860000\n", - "epoch [ 791] L = 37.106581, acc = 0.860000\n", - "epoch [ 792] L = 37.099111, acc = 0.860000\n", - "epoch [ 793] L = 37.091604, acc = 0.860000\n", - "epoch [ 794] L = 37.084059, acc = 0.860000\n", - "epoch [ 795] L = 37.076476, acc = 0.860000\n", - "epoch [ 796] L = 37.068855, acc = 0.860000\n", - "epoch [ 797] L = 37.061196, acc = 0.860000\n", - "epoch [ 798] L = 37.053498, acc = 0.860000\n", - "epoch [ 799] L = 37.045762, acc = 0.860000\n", - "epoch [ 800] L = 37.037987, acc = 0.860000\n", - "epoch [ 801] L = 37.030173, acc = 0.860000\n", - "epoch [ 802] L = 37.022320, acc = 0.860000\n", - "epoch [ 803] L = 37.014429, acc = 0.860000\n", - "epoch [ 804] L = 37.006497, acc = 0.860000\n", - "epoch [ 805] L = 36.998527, acc = 0.860000\n", - "epoch [ 806] L = 36.990517, acc = 0.860000\n", - "epoch [ 807] L = 36.982467, acc = 0.860000\n", - "epoch [ 808] L = 36.974378, acc = 0.860000\n", - "epoch [ 809] L = 36.966248, acc = 0.860000\n", - "epoch [ 810] L = 36.958078, acc = 0.860000\n", - "epoch [ 811] L = 36.949869, acc = 0.860000\n", - "epoch [ 812] L = 36.941618, acc = 0.860000\n", - "epoch [ 813] L = 36.933328, acc = 0.860000\n", - "epoch [ 814] L = 36.924996, acc = 0.860000\n", - "epoch [ 815] L = 36.916624, acc = 0.860000\n", - "epoch [ 816] L = 36.908211, acc = 0.860000\n", - "epoch [ 817] L = 36.899757, acc = 0.860000\n", - "epoch [ 818] L = 36.891262, acc = 0.860000\n", - "epoch [ 819] L = 36.882726, acc = 0.860000\n", - "epoch [ 820] L = 36.874148, acc = 0.860000\n", - "epoch [ 821] L = 36.865528, acc = 0.860000\n", - "epoch [ 822] L = 36.856867, acc = 0.860000\n", - "epoch [ 823] L = 36.848164, acc = 0.860000\n", - "epoch [ 824] L = 36.839420, acc = 0.860000\n", - "epoch [ 825] L = 36.830633, acc = 0.860000\n", - "epoch [ 826] L = 36.821804, acc = 0.860000\n", - "epoch [ 827] L = 36.812932, acc = 0.865000\n", - "epoch [ 828] L = 36.804019, acc = 0.865000\n", - "epoch [ 829] L = 36.795062, acc = 0.865000\n", - "epoch [ 830] L = 36.786064, acc = 0.865000\n", - "epoch [ 831] L = 36.777022, acc = 0.865000\n", - "epoch [ 832] L = 36.767937, acc = 0.865000\n", - "epoch [ 833] L = 36.758810, acc = 0.865000\n", - "epoch [ 834] L = 36.749639, acc = 0.865000\n", - "epoch [ 835] L = 36.740425, acc = 0.865000\n", - "epoch [ 836] L = 36.731168, acc = 0.865000\n", - "epoch [ 837] L = 36.721867, acc = 0.865000\n", - "epoch [ 838] L = 36.712522, acc = 0.865000\n", - "epoch [ 839] L = 36.703134, acc = 0.865000\n", - "epoch [ 840] L = 36.693702, acc = 0.865000\n", - "epoch [ 841] L = 36.684227, acc = 0.865000\n", - "epoch [ 842] L = 36.674707, acc = 0.865000\n", - "epoch [ 843] L = 36.665143, acc = 0.865000\n", - "epoch [ 844] L = 36.655535, acc = 0.865000\n", - "epoch [ 845] L = 36.645883, acc = 0.865000\n", - "epoch [ 846] L = 36.636186, acc = 0.865000\n", - "epoch [ 847] L = 36.626444, acc = 0.865000\n", - "epoch [ 848] L = 36.616658, acc = 0.865000\n", - "epoch [ 849] L = 36.606828, acc = 0.865000\n", - "epoch [ 850] L = 36.596952, acc = 0.865000\n", - "epoch [ 851] L = 36.587032, acc = 0.865000\n", - "epoch [ 852] L = 36.577066, acc = 0.865000\n", - "epoch [ 853] L = 36.567056, acc = 0.865000\n", - "epoch [ 854] L = 36.557000, acc = 0.865000\n", - "epoch [ 855] L = 36.546899, acc = 0.865000\n", - "epoch [ 856] L = 36.536753, acc = 0.865000\n", - "epoch [ 857] L = 36.526561, acc = 0.865000\n", - "epoch [ 858] L = 36.516323, acc = 0.865000\n", - "epoch [ 859] L = 36.506040, acc = 0.865000\n", - "epoch [ 860] L = 36.495712, acc = 0.865000\n", - "epoch [ 861] L = 36.485337, acc = 0.865000\n", - "epoch [ 862] L = 36.474917, acc = 0.865000\n", - "epoch [ 863] L = 36.464450, acc = 0.865000\n", - "epoch [ 864] L = 36.453938, acc = 0.865000\n", - "epoch [ 865] L = 36.443379, acc = 0.865000\n", - "epoch [ 866] L = 36.432775, acc = 0.865000\n", - "epoch [ 867] L = 36.422124, acc = 0.865000\n", - "epoch [ 868] L = 36.411427, acc = 0.865000\n", - "epoch [ 869] L = 36.400683, acc = 0.865000\n", - "epoch [ 870] L = 36.389893, acc = 0.865000\n", - "epoch [ 871] L = 36.379056, acc = 0.865000\n", - "epoch [ 872] L = 36.368173, acc = 0.870000\n", - "epoch [ 873] L = 36.357243, acc = 0.870000\n", - "epoch [ 874] L = 36.346267, acc = 0.870000\n", - "epoch [ 875] L = 36.335244, acc = 0.870000\n", - "epoch [ 876] L = 36.324173, acc = 0.870000\n", - "epoch [ 877] L = 36.313056, acc = 0.870000\n", - "epoch [ 878] L = 36.301892, acc = 0.870000\n", - "epoch [ 879] L = 36.290681, acc = 0.870000\n", - "epoch [ 880] L = 36.279423, acc = 0.870000\n", - "epoch [ 881] L = 36.268118, acc = 0.870000\n", - "epoch [ 882] L = 36.256766, acc = 0.870000\n", - "epoch [ 883] L = 36.245366, acc = 0.870000\n", - "epoch [ 884] L = 36.233920, acc = 0.870000\n", - "epoch [ 885] L = 36.222426, acc = 0.870000\n", - "epoch [ 886] L = 36.210884, acc = 0.870000\n", - "epoch [ 887] L = 36.199296, acc = 0.870000\n", - "epoch [ 888] L = 36.187660, acc = 0.870000\n", - "epoch [ 889] L = 36.175976, acc = 0.870000\n", - "epoch [ 890] L = 36.164245, acc = 0.870000\n", - "epoch [ 891] L = 36.152467, acc = 0.870000\n", - "epoch [ 892] L = 36.140640, acc = 0.870000\n", - "epoch [ 893] L = 36.128767, acc = 0.870000\n", - "epoch [ 894] L = 36.116846, acc = 0.870000\n", - "epoch [ 895] L = 36.104877, acc = 0.870000\n", - "epoch [ 896] L = 36.092860, acc = 0.870000\n", - "epoch [ 897] L = 36.080796, acc = 0.870000\n", - "epoch [ 898] L = 36.068684, acc = 0.870000\n", - "epoch [ 899] L = 36.056524, acc = 0.875000\n", - "epoch [ 900] L = 36.044317, acc = 0.875000\n", - "epoch [ 901] L = 36.032062, acc = 0.875000\n", - "epoch [ 902] L = 36.019759, acc = 0.875000\n", - "epoch [ 903] L = 36.007408, acc = 0.875000\n", - "epoch [ 904] L = 35.995010, acc = 0.875000\n", - "epoch [ 905] L = 35.982564, acc = 0.875000\n", - "epoch [ 906] L = 35.970070, acc = 0.875000\n", - "epoch [ 907] L = 35.957528, acc = 0.875000\n", - "epoch [ 908] L = 35.944938, acc = 0.875000\n", - "epoch [ 909] L = 35.932301, acc = 0.875000\n", - "epoch [ 910] L = 35.919616, acc = 0.875000\n", - "epoch [ 911] L = 35.906883, acc = 0.875000\n", - "epoch [ 912] L = 35.894102, acc = 0.875000\n", - "epoch [ 913] L = 35.881274, acc = 0.875000\n", - "epoch [ 914] L = 35.868397, acc = 0.875000\n", - "epoch [ 915] L = 35.855473, acc = 0.875000\n", - "epoch [ 916] L = 35.842501, acc = 0.875000\n", - "epoch [ 917] L = 35.829481, acc = 0.875000\n", - "epoch [ 918] L = 35.816414, acc = 0.875000\n", - "epoch [ 919] L = 35.803299, acc = 0.875000\n", - "epoch [ 920] L = 35.790136, acc = 0.875000\n", - "epoch [ 921] L = 35.776926, acc = 0.875000\n", - "epoch [ 922] L = 35.763668, acc = 0.875000\n", - "epoch [ 923] L = 35.750362, acc = 0.875000\n", - "epoch [ 924] L = 35.737009, acc = 0.875000\n", - "epoch [ 925] L = 35.723608, acc = 0.875000\n", - "epoch [ 926] L = 35.710159, acc = 0.875000\n" + "epoch [ 0] L = 104.423202, acc = 0.500000\n", + "epoch [ 1] L = 100.893370, acc = 0.525000\n", + "epoch [ 2] L = 97.708048, acc = 0.560000\n", + "epoch [ 3] L = 94.789881, acc = 0.685000\n", + "epoch [ 4] L = 92.079900, acc = 0.750000\n", + "epoch [ 5] L = 89.537059, acc = 0.755000\n", + "epoch [ 6] L = 87.133933, acc = 0.765000\n", + "epoch [ 7] L = 84.852266, acc = 0.780000\n", + "epoch [ 8] L = 82.679642, acc = 0.795000\n", + "epoch [ 9] L = 80.607323, acc = 0.805000\n", + "epoch [ 10] L = 78.628932, acc = 0.805000\n", + "epoch [ 11] L = 76.739658, acc = 0.805000\n", + "epoch [ 12] L = 74.935756, acc = 0.810000\n", + "epoch [ 13] L = 73.214206, acc = 0.810000\n", + "epoch [ 14] L = 71.572471, acc = 0.810000\n", + "epoch [ 15] L = 70.008310, acc = 0.820000\n", + "epoch [ 16] L = 68.519636, acc = 0.825000\n", + "epoch [ 17] L = 67.104410, acc = 0.825000\n", + "epoch [ 18] L = 65.760563, acc = 0.830000\n", + "epoch [ 19] L = 64.485947, acc = 0.830000\n", + "epoch [ 20] L = 63.278308, acc = 0.830000\n", + "epoch [ 21] L = 62.135274, acc = 0.830000\n", + "epoch [ 22] L = 61.054365, acc = 0.830000\n", + "epoch [ 23] L = 60.033001, acc = 0.830000\n", + "epoch [ 24] L = 59.068532, acc = 0.830000\n", + "epoch [ 25] L = 58.158254, acc = 0.830000\n", + "epoch [ 26] L = 57.299447, acc = 0.830000\n", + "epoch [ 27] L = 56.489392, acc = 0.830000\n", + "epoch [ 28] L = 55.725401, acc = 0.830000\n", + "epoch [ 29] L = 55.004839, acc = 0.830000\n", + "epoch [ 30] L = 54.325139, acc = 0.830000\n", + "epoch [ 31] L = 53.683821, acc = 0.830000\n", + "epoch [ 32] L = 53.078504, acc = 0.830000\n", + "epoch [ 33] L = 52.506910, acc = 0.830000\n", + "epoch [ 34] L = 51.966875, acc = 0.830000\n", + "epoch [ 35] L = 51.456352, acc = 0.830000\n", + "epoch [ 36] L = 50.973407, acc = 0.830000\n", + "epoch [ 37] L = 50.516225, acc = 0.830000\n", + "epoch [ 38] L = 50.083104, acc = 0.830000\n", + "epoch [ 39] L = 49.672451, acc = 0.830000\n", + "epoch [ 40] L = 49.282781, acc = 0.830000\n", + "epoch [ 41] L = 48.912712, acc = 0.835000\n", + "epoch [ 42] L = 48.560956, acc = 0.835000\n", + "epoch [ 43] L = 48.226319, acc = 0.835000\n", + "epoch [ 44] L = 47.907692, acc = 0.835000\n", + "epoch [ 45] L = 47.604046, acc = 0.835000\n", + "epoch [ 46] L = 47.314430, acc = 0.835000\n", + "epoch [ 47] L = 47.037961, acc = 0.835000\n", + "epoch [ 48] L = 46.773822, acc = 0.835000\n", + "epoch [ 49] L = 46.521256, acc = 0.835000\n", + "epoch [ 50] L = 46.279563, acc = 0.835000\n", + "epoch [ 51] L = 46.048094, acc = 0.835000\n", + "epoch [ 52] L = 45.826249, acc = 0.835000\n", + "epoch [ 53] L = 45.613471, acc = 0.835000\n", + "epoch [ 54] L = 45.409245, acc = 0.835000\n", + "epoch [ 55] L = 45.213091, acc = 0.835000\n", + "epoch [ 56] L = 45.024567, acc = 0.835000\n", + "epoch [ 57] L = 44.843259, acc = 0.835000\n", + "epoch [ 58] L = 44.668784, acc = 0.840000\n", + "epoch [ 59] L = 44.500787, acc = 0.835000\n", + "epoch [ 60] L = 44.338935, acc = 0.835000\n", + "epoch [ 61] L = 44.182920, acc = 0.835000\n", + "epoch [ 62] L = 44.032454, acc = 0.835000\n", + "epoch [ 63] L = 43.887267, acc = 0.835000\n", + "epoch [ 64] L = 43.747109, acc = 0.835000\n", + "epoch [ 65] L = 43.611745, acc = 0.835000\n", + "epoch [ 66] L = 43.480954, acc = 0.835000\n", + "epoch [ 67] L = 43.354530, acc = 0.835000\n", + "epoch [ 68] L = 43.232281, acc = 0.835000\n", + "epoch [ 69] L = 43.114023, acc = 0.835000\n", + "epoch [ 70] L = 42.999587, acc = 0.835000\n", + "epoch [ 71] L = 42.888811, acc = 0.835000\n", + "epoch [ 72] L = 42.781543, acc = 0.835000\n", + "epoch [ 73] L = 42.677640, acc = 0.835000\n", + "epoch [ 74] L = 42.576967, acc = 0.830000\n", + "epoch [ 75] L = 42.479395, acc = 0.830000\n", + "epoch [ 76] L = 42.384805, acc = 0.830000\n", + "epoch [ 77] L = 42.293080, acc = 0.830000\n", + "epoch [ 78] L = 42.204112, acc = 0.830000\n", + "epoch [ 79] L = 42.117798, acc = 0.830000\n", + "epoch [ 80] L = 42.034038, acc = 0.835000\n", + "epoch [ 81] L = 41.952740, acc = 0.835000\n", + "epoch [ 82] L = 41.873814, acc = 0.835000\n", + "epoch [ 83] L = 41.797175, acc = 0.835000\n", + "epoch [ 84] L = 41.722743, acc = 0.835000\n", + "epoch [ 85] L = 41.650439, acc = 0.835000\n", + "epoch [ 86] L = 41.580189, acc = 0.835000\n", + "epoch [ 87] L = 41.511923, acc = 0.835000\n", + "epoch [ 88] L = 41.445574, acc = 0.835000\n", + "epoch [ 89] L = 41.381075, acc = 0.835000\n", + "epoch [ 90] L = 41.318365, acc = 0.835000\n", + "epoch [ 91] L = 41.257384, acc = 0.835000\n", + "epoch [ 92] L = 41.198075, acc = 0.835000\n", + "epoch [ 93] L = 41.140383, acc = 0.835000\n", + "epoch [ 94] L = 41.084255, acc = 0.835000\n", + "epoch [ 95] L = 41.029641, acc = 0.835000\n", + "epoch [ 96] L = 40.976491, acc = 0.835000\n", + "epoch [ 97] L = 40.924759, acc = 0.835000\n", + "epoch [ 98] L = 40.874400, acc = 0.835000\n", + "epoch [ 99] L = 40.825370, acc = 0.835000\n", + "epoch [ 100] L = 40.777627, acc = 0.835000\n", + "epoch [ 101] L = 40.731131, acc = 0.835000\n", + "epoch [ 102] L = 40.685844, acc = 0.835000\n", + "epoch [ 103] L = 40.641727, acc = 0.835000\n", + "epoch [ 104] L = 40.598744, acc = 0.835000\n", + "epoch [ 105] L = 40.556862, acc = 0.840000\n", + "epoch [ 106] L = 40.516046, acc = 0.840000\n", + "epoch [ 107] L = 40.476263, acc = 0.840000\n", + "epoch [ 108] L = 40.437484, acc = 0.840000\n", + "epoch [ 109] L = 40.399676, acc = 0.840000\n", + "epoch [ 110] L = 40.362812, acc = 0.840000\n", + "epoch [ 111] L = 40.326863, acc = 0.840000\n", + "epoch [ 112] L = 40.291802, acc = 0.840000\n", + "epoch [ 113] L = 40.257603, acc = 0.840000\n", + "epoch [ 114] L = 40.224240, acc = 0.840000\n", + "epoch [ 115] L = 40.191689, acc = 0.840000\n", + "epoch [ 116] L = 40.159926, acc = 0.840000\n", + "epoch [ 117] L = 40.128928, acc = 0.845000\n", + "epoch [ 118] L = 40.098673, acc = 0.850000\n", + "epoch [ 119] L = 40.069140, acc = 0.850000\n", + "epoch [ 120] L = 40.040308, acc = 0.850000\n", + "epoch [ 121] L = 40.012157, acc = 0.850000\n", + "epoch [ 122] L = 39.984667, acc = 0.850000\n", + "epoch [ 123] L = 39.957820, acc = 0.850000\n", + "epoch [ 124] L = 39.931599, acc = 0.850000\n", + "epoch [ 125] L = 39.905984, acc = 0.850000\n", + "epoch [ 126] L = 39.880959, acc = 0.850000\n", + "epoch [ 127] L = 39.856509, acc = 0.850000\n", + "epoch [ 128] L = 39.832616, acc = 0.850000\n", + "epoch [ 129] L = 39.809266, acc = 0.850000\n", + "epoch [ 130] L = 39.786443, acc = 0.850000\n", + "epoch [ 131] L = 39.764134, acc = 0.855000\n", + "epoch [ 132] L = 39.742323, acc = 0.855000\n", + "epoch [ 133] L = 39.720999, acc = 0.855000\n", + "epoch [ 134] L = 39.700147, acc = 0.855000\n", + "epoch [ 135] L = 39.679754, acc = 0.855000\n", + "epoch [ 136] L = 39.659810, acc = 0.855000\n", + "epoch [ 137] L = 39.640301, acc = 0.855000\n", + "epoch [ 138] L = 39.621216, acc = 0.855000\n", + "epoch [ 139] L = 39.602543, acc = 0.855000\n", + "epoch [ 140] L = 39.584273, acc = 0.855000\n", + "epoch [ 141] L = 39.566394, acc = 0.855000\n", + "epoch [ 142] L = 39.548897, acc = 0.855000\n", + "epoch [ 143] L = 39.531770, acc = 0.855000\n", + "epoch [ 144] L = 39.515006, acc = 0.855000\n", + "epoch [ 145] L = 39.498594, acc = 0.855000\n", + "epoch [ 146] L = 39.482525, acc = 0.855000\n", + "epoch [ 147] L = 39.466790, acc = 0.855000\n", + "epoch [ 148] L = 39.451382, acc = 0.855000\n", + "epoch [ 149] L = 39.436292, acc = 0.855000\n", + "epoch [ 150] L = 39.421511, acc = 0.855000\n", + "epoch [ 151] L = 39.407033, acc = 0.855000\n", + "epoch [ 152] L = 39.392849, acc = 0.855000\n", + "epoch [ 153] L = 39.378952, acc = 0.855000\n", + "epoch [ 154] L = 39.365336, acc = 0.855000\n", + "epoch [ 155] L = 39.351992, acc = 0.855000\n", + "epoch [ 156] L = 39.338915, acc = 0.855000\n", + "epoch [ 157] L = 39.326098, acc = 0.855000\n", + "epoch [ 158] L = 39.313534, acc = 0.855000\n", + "epoch [ 159] L = 39.301218, acc = 0.855000\n", + "epoch [ 160] L = 39.289143, acc = 0.855000\n", + "epoch [ 161] L = 39.277304, acc = 0.855000\n", + "epoch [ 162] L = 39.265695, acc = 0.855000\n", + "epoch [ 163] L = 39.254311, acc = 0.855000\n", + "epoch [ 164] L = 39.243145, acc = 0.855000\n", + "epoch [ 165] L = 39.232194, acc = 0.855000\n", + "epoch [ 166] L = 39.221452, acc = 0.855000\n", + "epoch [ 167] L = 39.210913, acc = 0.855000\n", + "epoch [ 168] L = 39.200574, acc = 0.855000\n", + "epoch [ 169] L = 39.190430, acc = 0.855000\n", + "epoch [ 170] L = 39.180476, acc = 0.855000\n", + "epoch [ 171] L = 39.170707, acc = 0.855000\n", + "epoch [ 172] L = 39.161120, acc = 0.855000\n", + "epoch [ 173] L = 39.151711, acc = 0.855000\n", + "epoch [ 174] L = 39.142474, acc = 0.855000\n", + "epoch [ 175] L = 39.133407, acc = 0.855000\n", + "epoch [ 176] L = 39.124505, acc = 0.855000\n", + "epoch [ 177] L = 39.115765, acc = 0.855000\n", + "epoch [ 178] L = 39.107184, acc = 0.855000\n", + "epoch [ 179] L = 39.098757, acc = 0.855000\n", + "epoch [ 180] L = 39.090481, acc = 0.855000\n", + "epoch [ 181] L = 39.082353, acc = 0.855000\n", + "epoch [ 182] L = 39.074369, acc = 0.855000\n", + "epoch [ 183] L = 39.066527, acc = 0.855000\n", + "epoch [ 184] L = 39.058823, acc = 0.855000\n", + "epoch [ 185] L = 39.051254, acc = 0.855000\n", + "epoch [ 186] L = 39.043817, acc = 0.855000\n", + "epoch [ 187] L = 39.036510, acc = 0.855000\n", + "epoch [ 188] L = 39.029330, acc = 0.855000\n", + "epoch [ 189] L = 39.022273, acc = 0.855000\n", + "epoch [ 190] L = 39.015338, acc = 0.855000\n", + "epoch [ 191] L = 39.008521, acc = 0.855000\n", + "epoch [ 192] L = 39.001820, acc = 0.855000\n", + "epoch [ 193] L = 38.995233, acc = 0.855000\n", + "epoch [ 194] L = 38.988758, acc = 0.855000\n", + "epoch [ 195] L = 38.982391, acc = 0.855000\n", + "epoch [ 196] L = 38.976131, acc = 0.855000\n", + "epoch [ 197] L = 38.969975, acc = 0.855000\n", + "epoch [ 198] L = 38.963921, acc = 0.855000\n", + "epoch [ 199] L = 38.957967, acc = 0.855000\n", + "epoch [ 200] L = 38.952112, acc = 0.855000\n", + "epoch [ 201] L = 38.946352, acc = 0.855000\n", + "epoch [ 202] L = 38.940687, acc = 0.855000\n", + "epoch [ 203] L = 38.935113, acc = 0.855000\n", + "epoch [ 204] L = 38.929630, acc = 0.855000\n", + "epoch [ 205] L = 38.924235, acc = 0.855000\n", + "epoch [ 206] L = 38.918927, acc = 0.855000\n", + "epoch [ 207] L = 38.913703, acc = 0.855000\n", + "epoch [ 208] L = 38.908563, acc = 0.855000\n", + "epoch [ 209] L = 38.903504, acc = 0.855000\n", + "epoch [ 210] L = 38.898525, acc = 0.855000\n", + "epoch [ 211] L = 38.893624, acc = 0.855000\n", + "epoch [ 212] L = 38.888799, acc = 0.855000\n", + "epoch [ 213] L = 38.884050, acc = 0.855000\n", + "epoch [ 214] L = 38.879375, acc = 0.855000\n", + "epoch [ 215] L = 38.874772, acc = 0.855000\n", + "epoch [ 216] L = 38.870239, acc = 0.855000\n", + "epoch [ 217] L = 38.865776, acc = 0.855000\n", + "epoch [ 218] L = 38.861381, acc = 0.855000\n", + "epoch [ 219] L = 38.857053, acc = 0.855000\n", + "epoch [ 220] L = 38.852790, acc = 0.855000\n", + "epoch [ 221] L = 38.848591, acc = 0.855000\n", + "epoch [ 222] L = 38.844456, acc = 0.855000\n", + "epoch [ 223] L = 38.840382, acc = 0.855000\n", + "epoch [ 224] L = 38.836368, acc = 0.855000\n", + "epoch [ 225] L = 38.832414, acc = 0.855000\n", + "epoch [ 226] L = 38.828518, acc = 0.855000\n", + "epoch [ 227] L = 38.824680, acc = 0.855000\n", + "epoch [ 228] L = 38.820897, acc = 0.855000\n", + "epoch [ 229] L = 38.817169, acc = 0.855000\n", + "epoch [ 230] L = 38.813496, acc = 0.855000\n", + "epoch [ 231] L = 38.809875, acc = 0.855000\n", + "epoch [ 232] L = 38.806306, acc = 0.855000\n", + "epoch [ 233] L = 38.802789, acc = 0.855000\n", + "epoch [ 234] L = 38.799321, acc = 0.855000\n", + "epoch [ 235] L = 38.795902, acc = 0.855000\n", + "epoch [ 236] L = 38.792532, acc = 0.855000\n", + "epoch [ 237] L = 38.789209, acc = 0.855000\n", + "epoch [ 238] L = 38.785932, acc = 0.855000\n", + "epoch [ 239] L = 38.782701, acc = 0.855000\n", + "epoch [ 240] L = 38.779515, acc = 0.855000\n", + "epoch [ 241] L = 38.776373, acc = 0.855000\n", + "epoch [ 242] L = 38.773274, acc = 0.855000\n", + "epoch [ 243] L = 38.770217, acc = 0.855000\n", + "epoch [ 244] L = 38.767202, acc = 0.850000\n", + "epoch [ 245] L = 38.764227, acc = 0.850000\n", + "epoch [ 246] L = 38.761293, acc = 0.850000\n", + "epoch [ 247] L = 38.758398, acc = 0.850000\n", + "epoch [ 248] L = 38.755542, acc = 0.850000\n", + "epoch [ 249] L = 38.752723, acc = 0.850000\n", + "epoch [ 250] L = 38.749942, acc = 0.850000\n", + "epoch [ 251] L = 38.747198, acc = 0.850000\n", + "epoch [ 252] L = 38.744490, acc = 0.850000\n", + "epoch [ 253] L = 38.741817, acc = 0.850000\n", + "epoch [ 254] L = 38.739179, acc = 0.850000\n", + "epoch [ 255] L = 38.736574, acc = 0.850000\n", + "epoch [ 256] L = 38.734004, acc = 0.845000\n", + "epoch [ 257] L = 38.731466, acc = 0.845000\n", + "epoch [ 258] L = 38.728961, acc = 0.845000\n", + "epoch [ 259] L = 38.726487, acc = 0.845000\n", + "epoch [ 260] L = 38.724045, acc = 0.845000\n", + "epoch [ 261] L = 38.721633, acc = 0.845000\n", + "epoch [ 262] L = 38.719252, acc = 0.845000\n", + "epoch [ 263] L = 38.716900, acc = 0.845000\n", + "epoch [ 264] L = 38.714577, acc = 0.845000\n", + "epoch [ 265] L = 38.712283, acc = 0.845000\n", + "epoch [ 266] L = 38.710017, acc = 0.845000\n", + "epoch [ 267] L = 38.707778, acc = 0.845000\n", + "epoch [ 268] L = 38.705567, acc = 0.845000\n", + "epoch [ 269] L = 38.703383, acc = 0.845000\n", + "epoch [ 270] L = 38.701224, acc = 0.845000\n", + "epoch [ 271] L = 38.699092, acc = 0.845000\n", + "epoch [ 272] L = 38.696985, acc = 0.845000\n", + "epoch [ 273] L = 38.694903, acc = 0.845000\n", + "epoch [ 274] L = 38.692845, acc = 0.845000\n", + "epoch [ 275] L = 38.690812, acc = 0.845000\n", + "epoch [ 276] L = 38.688802, acc = 0.845000\n", + "epoch [ 277] L = 38.686815, acc = 0.845000\n", + "epoch [ 278] L = 38.684852, acc = 0.845000\n", + "epoch [ 279] L = 38.682911, acc = 0.845000\n", + "epoch [ 280] L = 38.680992, acc = 0.845000\n", + "epoch [ 281] L = 38.679094, acc = 0.845000\n", + "epoch [ 282] L = 38.677219, acc = 0.845000\n", + "epoch [ 283] L = 38.675364, acc = 0.845000\n", + "epoch [ 284] L = 38.673530, acc = 0.845000\n", + "epoch [ 285] L = 38.671716, acc = 0.845000\n", + "epoch [ 286] L = 38.669923, acc = 0.845000\n", + "epoch [ 287] L = 38.668149, acc = 0.845000\n", + "epoch [ 288] L = 38.666394, acc = 0.845000\n", + "epoch [ 289] L = 38.664659, acc = 0.845000\n", + "epoch [ 290] L = 38.662942, acc = 0.845000\n", + "epoch [ 291] L = 38.661244, acc = 0.845000\n", + "epoch [ 292] L = 38.659564, acc = 0.845000\n", + "epoch [ 293] L = 38.657901, acc = 0.845000\n", + "epoch [ 294] L = 38.656257, acc = 0.845000\n", + "epoch [ 295] L = 38.654629, acc = 0.845000\n", + "epoch [ 296] L = 38.653019, acc = 0.845000\n", + "epoch [ 297] L = 38.651425, acc = 0.845000\n", + "epoch [ 298] L = 38.649847, acc = 0.845000\n", + "epoch [ 299] L = 38.648286, acc = 0.845000\n", + "epoch [ 300] L = 38.646741, acc = 0.845000\n", + "epoch [ 301] L = 38.645211, acc = 0.845000\n", + "epoch [ 302] L = 38.643697, acc = 0.845000\n", + "epoch [ 303] L = 38.642198, acc = 0.845000\n", + "epoch [ 304] L = 38.640714, acc = 0.845000\n", + "epoch [ 305] L = 38.639244, acc = 0.845000\n", + "epoch [ 306] L = 38.637789, acc = 0.845000\n", + "epoch [ 307] L = 38.636348, acc = 0.845000\n", + "epoch [ 308] L = 38.634921, acc = 0.845000\n", + "epoch [ 309] L = 38.633508, acc = 0.845000\n", + "epoch [ 310] L = 38.632109, acc = 0.845000\n", + "epoch [ 311] L = 38.630722, acc = 0.845000\n", + "epoch [ 312] L = 38.629349, acc = 0.845000\n", + "epoch [ 313] L = 38.627989, acc = 0.845000\n", + "epoch [ 314] L = 38.626641, acc = 0.845000\n", + "epoch [ 315] L = 38.625306, acc = 0.845000\n", + "epoch [ 316] L = 38.623984, acc = 0.845000\n", + "epoch [ 317] L = 38.622673, acc = 0.845000\n", + "epoch [ 318] L = 38.621374, acc = 0.845000\n", + "epoch [ 319] L = 38.620087, acc = 0.845000\n", + "epoch [ 320] L = 38.618812, acc = 0.845000\n", + "epoch [ 321] L = 38.617547, acc = 0.845000\n", + "epoch [ 322] L = 38.616294, acc = 0.845000\n", + "epoch [ 323] L = 38.615053, acc = 0.845000\n", + "epoch [ 324] L = 38.613821, acc = 0.845000\n", + "epoch [ 325] L = 38.612601, acc = 0.845000\n", + "epoch [ 326] L = 38.611391, acc = 0.845000\n", + "epoch [ 327] L = 38.610191, acc = 0.845000\n", + "epoch [ 328] L = 38.609002, acc = 0.845000\n", + "epoch [ 329] L = 38.607822, acc = 0.845000\n", + "epoch [ 330] L = 38.606653, acc = 0.845000\n", + "epoch [ 331] L = 38.605493, acc = 0.845000\n", + "epoch [ 332] L = 38.604343, acc = 0.845000\n", + "epoch [ 333] L = 38.603202, acc = 0.845000\n", + "epoch [ 334] L = 38.602070, acc = 0.845000\n", + "epoch [ 335] L = 38.600947, acc = 0.845000\n", + "epoch [ 336] L = 38.599834, acc = 0.845000\n", + "epoch [ 337] L = 38.598729, acc = 0.845000\n", + "epoch [ 338] L = 38.597633, acc = 0.845000\n", + "epoch [ 339] L = 38.596545, acc = 0.845000\n", + "epoch [ 340] L = 38.595466, acc = 0.845000\n", + "epoch [ 341] L = 38.594395, acc = 0.845000\n", + "epoch [ 342] L = 38.593333, acc = 0.845000\n", + "epoch [ 343] L = 38.592278, acc = 0.845000\n", + "epoch [ 344] L = 38.591231, acc = 0.845000\n", + "epoch [ 345] L = 38.590192, acc = 0.845000\n", + "epoch [ 346] L = 38.589161, acc = 0.845000\n", + "epoch [ 347] L = 38.588137, acc = 0.845000\n", + "epoch [ 348] L = 38.587121, acc = 0.845000\n", + "epoch [ 349] L = 38.586112, acc = 0.845000\n", + "epoch [ 350] L = 38.585111, acc = 0.845000\n", + "epoch [ 351] L = 38.584116, acc = 0.845000\n", + "epoch [ 352] L = 38.583128, acc = 0.845000\n", + "epoch [ 353] L = 38.582147, acc = 0.845000\n", + "epoch [ 354] L = 38.581173, acc = 0.845000\n", + "epoch [ 355] L = 38.580206, acc = 0.845000\n", + "epoch [ 356] L = 38.579245, acc = 0.845000\n", + "epoch [ 357] L = 38.578291, acc = 0.845000\n", + "epoch [ 358] L = 38.577343, acc = 0.845000\n", + "epoch [ 359] L = 38.576401, acc = 0.845000\n", + "epoch [ 360] L = 38.575466, acc = 0.845000\n", + "epoch [ 361] L = 38.574536, acc = 0.845000\n", + "epoch [ 362] L = 38.573613, acc = 0.845000\n", + "epoch [ 363] L = 38.572695, acc = 0.845000\n", + "epoch [ 364] L = 38.571784, acc = 0.845000\n", + "epoch [ 365] L = 38.570877, acc = 0.845000\n", + "epoch [ 366] L = 38.569977, acc = 0.845000\n", + "epoch [ 367] L = 38.569082, acc = 0.845000\n", + "epoch [ 368] L = 38.568193, acc = 0.845000\n", + "epoch [ 369] L = 38.567308, acc = 0.845000\n", + "epoch [ 370] L = 38.566429, acc = 0.845000\n", + "epoch [ 371] L = 38.565556, acc = 0.845000\n", + "epoch [ 372] L = 38.564687, acc = 0.845000\n", + "epoch [ 373] L = 38.563824, acc = 0.845000\n", + "epoch [ 374] L = 38.562965, acc = 0.845000\n", + "epoch [ 375] L = 38.562111, acc = 0.845000\n", + "epoch [ 376] L = 38.561262, acc = 0.845000\n", + "epoch [ 377] L = 38.560418, acc = 0.845000\n", + "epoch [ 378] L = 38.559578, acc = 0.845000\n", + "epoch [ 379] L = 38.558743, acc = 0.845000\n", + "epoch [ 380] L = 38.557913, acc = 0.845000\n", + "epoch [ 381] L = 38.557087, acc = 0.845000\n", + "epoch [ 382] L = 38.556265, acc = 0.845000\n", + "epoch [ 383] L = 38.555448, acc = 0.845000\n", + "epoch [ 384] L = 38.554635, acc = 0.845000\n", + "epoch [ 385] L = 38.553825, acc = 0.845000\n", + "epoch [ 386] L = 38.553021, acc = 0.845000\n", + "epoch [ 387] L = 38.552220, acc = 0.845000\n", + "epoch [ 388] L = 38.551423, acc = 0.845000\n", + "epoch [ 389] L = 38.550630, acc = 0.845000\n", + "epoch [ 390] L = 38.549840, acc = 0.845000\n", + "epoch [ 391] L = 38.549055, acc = 0.845000\n", + "epoch [ 392] L = 38.548273, acc = 0.845000\n", + "epoch [ 393] L = 38.547495, acc = 0.845000\n", + "epoch [ 394] L = 38.546720, acc = 0.845000\n", + "epoch [ 395] L = 38.545949, acc = 0.845000\n", + "epoch [ 396] L = 38.545182, acc = 0.845000\n", + "epoch [ 397] L = 38.544418, acc = 0.845000\n", + "epoch [ 398] L = 38.543657, acc = 0.845000\n", + "epoch [ 399] L = 38.542900, acc = 0.845000\n", + "epoch [ 400] L = 38.542146, acc = 0.845000\n", + "epoch [ 401] L = 38.541395, acc = 0.845000\n", + "epoch [ 402] L = 38.540647, acc = 0.845000\n", + "epoch [ 403] L = 38.539902, acc = 0.845000\n", + "epoch [ 404] L = 38.539161, acc = 0.845000\n", + "epoch [ 405] L = 38.538422, acc = 0.845000\n", + "epoch [ 406] L = 38.537686, acc = 0.845000\n", + "epoch [ 407] L = 38.536953, acc = 0.845000\n", + "epoch [ 408] L = 38.536223, acc = 0.845000\n", + "epoch [ 409] L = 38.535496, acc = 0.845000\n", + "epoch [ 410] L = 38.534772, acc = 0.845000\n", + "epoch [ 411] L = 38.534050, acc = 0.850000\n", + "epoch [ 412] L = 38.533331, acc = 0.850000\n", + "epoch [ 413] L = 38.532614, acc = 0.850000\n", + "epoch [ 414] L = 38.531901, acc = 0.850000\n", + "epoch [ 415] L = 38.531189, acc = 0.850000\n", + "epoch [ 416] L = 38.530480, acc = 0.850000\n", + "epoch [ 417] L = 38.529774, acc = 0.850000\n", + "epoch [ 418] L = 38.529070, acc = 0.850000\n", + "epoch [ 419] L = 38.528368, acc = 0.850000\n", + "epoch [ 420] L = 38.527669, acc = 0.850000\n", + "epoch [ 421] L = 38.526971, acc = 0.850000\n", + "epoch [ 422] L = 38.526276, acc = 0.850000\n", + "epoch [ 423] L = 38.525584, acc = 0.850000\n", + "epoch [ 424] L = 38.524893, acc = 0.850000\n", + "epoch [ 425] L = 38.524204, acc = 0.850000\n", + "epoch [ 426] L = 38.523518, acc = 0.850000\n", + "epoch [ 427] L = 38.522834, acc = 0.850000\n", + "epoch [ 428] L = 38.522151, acc = 0.850000\n", + "epoch [ 429] L = 38.521471, acc = 0.850000\n", + "epoch [ 430] L = 38.520792, acc = 0.850000\n", + "epoch [ 431] L = 38.520115, acc = 0.850000\n", + "epoch [ 432] L = 38.519441, acc = 0.850000\n", + "epoch [ 433] L = 38.518768, acc = 0.850000\n", + "epoch [ 434] L = 38.518096, acc = 0.850000\n", + "epoch [ 435] L = 38.517427, acc = 0.850000\n", + "epoch [ 436] L = 38.516759, acc = 0.850000\n", + "epoch [ 437] L = 38.516093, acc = 0.850000\n", + "epoch [ 438] L = 38.515428, acc = 0.850000\n", + "epoch [ 439] L = 38.514765, acc = 0.850000\n", + "epoch [ 440] L = 38.514104, acc = 0.850000\n", + "epoch [ 441] L = 38.513444, acc = 0.850000\n", + "epoch [ 442] L = 38.512786, acc = 0.850000\n", + "epoch [ 443] L = 38.512129, acc = 0.850000\n", + "epoch [ 444] L = 38.511473, acc = 0.850000\n", + "epoch [ 445] L = 38.510819, acc = 0.850000\n", + "epoch [ 446] L = 38.510167, acc = 0.850000\n", + "epoch [ 447] L = 38.509515, acc = 0.850000\n", + "epoch [ 448] L = 38.508865, acc = 0.850000\n", + "epoch [ 449] L = 38.508217, acc = 0.850000\n", + "epoch [ 450] L = 38.507569, acc = 0.850000\n", + "epoch [ 451] L = 38.506923, acc = 0.850000\n", + "epoch [ 452] L = 38.506278, acc = 0.850000\n", + "epoch [ 453] L = 38.505634, acc = 0.850000\n", + "epoch [ 454] L = 38.504992, acc = 0.850000\n", + "epoch [ 455] L = 38.504350, acc = 0.850000\n", + "epoch [ 456] L = 38.503709, acc = 0.850000\n", + "epoch [ 457] L = 38.503070, acc = 0.850000\n", + "epoch [ 458] L = 38.502432, acc = 0.850000\n", + "epoch [ 459] L = 38.501794, acc = 0.850000\n", + "epoch [ 460] L = 38.501158, acc = 0.850000\n", + "epoch [ 461] L = 38.500522, acc = 0.850000\n", + "epoch [ 462] L = 38.499888, acc = 0.850000\n", + "epoch [ 463] L = 38.499254, acc = 0.850000\n", + "epoch [ 464] L = 38.498621, acc = 0.850000\n", + "epoch [ 465] L = 38.497990, acc = 0.850000\n", + "epoch [ 466] L = 38.497359, acc = 0.850000\n", + "epoch [ 467] L = 38.496728, acc = 0.850000\n", + "epoch [ 468] L = 38.496099, acc = 0.850000\n", + "epoch [ 469] L = 38.495470, acc = 0.850000\n", + "epoch [ 470] L = 38.494842, acc = 0.850000\n", + "epoch [ 471] L = 38.494215, acc = 0.850000\n", + "epoch [ 472] L = 38.493588, acc = 0.850000\n", + "epoch [ 473] L = 38.492962, acc = 0.850000\n", + "epoch [ 474] L = 38.492337, acc = 0.850000\n", + "epoch [ 475] L = 38.491712, acc = 0.850000\n", + "epoch [ 476] L = 38.491088, acc = 0.850000\n", + "epoch [ 477] L = 38.490464, acc = 0.850000\n", + "epoch [ 478] L = 38.489841, acc = 0.850000\n", + "epoch [ 479] L = 38.489219, acc = 0.850000\n", + "epoch [ 480] L = 38.488597, acc = 0.850000\n", + "epoch [ 481] L = 38.487975, acc = 0.850000\n", + "epoch [ 482] L = 38.487354, acc = 0.850000\n", + "epoch [ 483] L = 38.486734, acc = 0.850000\n", + "epoch [ 484] L = 38.486114, acc = 0.850000\n", + "epoch [ 485] L = 38.485494, acc = 0.850000\n", + "epoch [ 486] L = 38.484874, acc = 0.850000\n", + "epoch [ 487] L = 38.484255, acc = 0.850000\n", + "epoch [ 488] L = 38.483636, acc = 0.850000\n", + "epoch [ 489] L = 38.483018, acc = 0.850000\n", + "epoch [ 490] L = 38.482400, acc = 0.850000\n", + "epoch [ 491] L = 38.481782, acc = 0.850000\n", + "epoch [ 492] L = 38.481164, acc = 0.850000\n", + "epoch [ 493] L = 38.480547, acc = 0.850000\n", + "epoch [ 494] L = 38.479930, acc = 0.850000\n", + "epoch [ 495] L = 38.479313, acc = 0.850000\n", + "epoch [ 496] L = 38.478696, acc = 0.850000\n", + "epoch [ 497] L = 38.478079, acc = 0.850000\n", + "epoch [ 498] L = 38.477463, acc = 0.850000\n", + "epoch [ 499] L = 38.476846, acc = 0.850000\n", + "epoch [ 500] L = 38.476230, acc = 0.850000\n", + "epoch [ 501] L = 38.475614, acc = 0.850000\n", + "epoch [ 502] L = 38.474998, acc = 0.850000\n", + "epoch [ 503] L = 38.474381, acc = 0.850000\n", + "epoch [ 504] L = 38.473765, acc = 0.850000\n", + "epoch [ 505] L = 38.473149, acc = 0.850000\n", + "epoch [ 506] L = 38.472533, acc = 0.850000\n", + "epoch [ 507] L = 38.471917, acc = 0.850000\n", + "epoch [ 508] L = 38.471301, acc = 0.850000\n", + "epoch [ 509] L = 38.470684, acc = 0.850000\n", + "epoch [ 510] L = 38.470068, acc = 0.850000\n", + "epoch [ 511] L = 38.469451, acc = 0.850000\n", + "epoch [ 512] L = 38.468835, acc = 0.850000\n", + "epoch [ 513] L = 38.468218, acc = 0.850000\n", + "epoch [ 514] L = 38.467601, acc = 0.850000\n", + "epoch [ 515] L = 38.466984, acc = 0.850000\n", + "epoch [ 516] L = 38.466367, acc = 0.850000\n", + "epoch [ 517] L = 38.465750, acc = 0.850000\n", + "epoch [ 518] L = 38.465132, acc = 0.850000\n", + "epoch [ 519] L = 38.464514, acc = 0.850000\n", + "epoch [ 520] L = 38.463896, acc = 0.850000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch [ 927] L = 35.696664, acc = 0.875000\n", - "epoch [ 928] L = 35.683120, acc = 0.875000\n", - "epoch [ 929] L = 35.669529, acc = 0.875000\n", - "epoch [ 930] L = 35.655891, acc = 0.875000\n", - "epoch [ 931] L = 35.642206, acc = 0.875000\n", - "epoch [ 932] L = 35.628473, acc = 0.875000\n", - "epoch [ 933] L = 35.614693, acc = 0.875000\n", - "epoch [ 934] L = 35.600866, acc = 0.875000\n", - "epoch [ 935] L = 35.586991, acc = 0.875000\n", - "epoch [ 936] L = 35.573069, acc = 0.875000\n", - "epoch [ 937] L = 35.559101, acc = 0.875000\n", - "epoch [ 938] L = 35.545085, acc = 0.875000\n", - "epoch [ 939] L = 35.531022, acc = 0.875000\n", - "epoch [ 940] L = 35.516913, acc = 0.875000\n", - "epoch [ 941] L = 35.502757, acc = 0.875000\n", - "epoch [ 942] L = 35.488553, acc = 0.875000\n", - "epoch [ 943] L = 35.474304, acc = 0.875000\n", - "epoch [ 944] L = 35.460007, acc = 0.875000\n", - "epoch [ 945] L = 35.445664, acc = 0.875000\n", - "epoch [ 946] L = 35.431274, acc = 0.875000\n", - "epoch [ 947] L = 35.416838, acc = 0.875000\n", - "epoch [ 948] L = 35.402356, acc = 0.875000\n", - "epoch [ 949] L = 35.387827, acc = 0.875000\n", - "epoch [ 950] L = 35.373252, acc = 0.875000\n", - "epoch [ 951] L = 35.358631, acc = 0.875000\n", - "epoch [ 952] L = 35.343964, acc = 0.875000\n", - "epoch [ 953] L = 35.329250, acc = 0.875000\n", - "epoch [ 954] L = 35.314491, acc = 0.875000\n", - "epoch [ 955] L = 35.299686, acc = 0.875000\n", - "epoch [ 956] L = 35.284836, acc = 0.875000\n", - "epoch [ 957] L = 35.269939, acc = 0.875000\n", - "epoch [ 958] L = 35.254998, acc = 0.875000\n", - "epoch [ 959] L = 35.240010, acc = 0.875000\n", - "epoch [ 960] L = 35.224978, acc = 0.875000\n", - "epoch [ 961] L = 35.209900, acc = 0.875000\n", - "epoch [ 962] L = 35.194776, acc = 0.875000\n", - "epoch [ 963] L = 35.179608, acc = 0.875000\n", - "epoch [ 964] L = 35.164395, acc = 0.875000\n", - "epoch [ 965] L = 35.149137, acc = 0.875000\n", - "epoch [ 966] L = 35.133834, acc = 0.875000\n", - "epoch [ 967] L = 35.118487, acc = 0.875000\n", - "epoch [ 968] L = 35.103094, acc = 0.875000\n", - "epoch [ 969] L = 35.087658, acc = 0.875000\n", - "epoch [ 970] L = 35.072177, acc = 0.875000\n", - "epoch [ 971] L = 35.056652, acc = 0.875000\n", - "epoch [ 972] L = 35.041083, acc = 0.875000\n", - "epoch [ 973] L = 35.025470, acc = 0.875000\n", - "epoch [ 974] L = 35.009813, acc = 0.875000\n", - "epoch [ 975] L = 34.994112, acc = 0.875000\n", - "epoch [ 976] L = 34.978367, acc = 0.875000\n", - "epoch [ 977] L = 34.962579, acc = 0.875000\n", - "epoch [ 978] L = 34.946748, acc = 0.875000\n", - "epoch [ 979] L = 34.930873, acc = 0.875000\n", - "epoch [ 980] L = 34.914956, acc = 0.875000\n", - "epoch [ 981] L = 34.898995, acc = 0.875000\n", - "epoch [ 982] L = 34.882991, acc = 0.875000\n", - "epoch [ 983] L = 34.866945, acc = 0.875000\n", - "epoch [ 984] L = 34.850856, acc = 0.875000\n", - "epoch [ 985] L = 34.834724, acc = 0.875000\n", - "epoch [ 986] L = 34.818550, acc = 0.875000\n", - "epoch [ 987] L = 34.802334, acc = 0.875000\n", - "epoch [ 988] L = 34.786076, acc = 0.875000\n", - "epoch [ 989] L = 34.769776, acc = 0.875000\n", - "epoch [ 990] L = 34.753434, acc = 0.875000\n", - "epoch [ 991] L = 34.737051, acc = 0.875000\n", - "epoch [ 992] L = 34.720626, acc = 0.875000\n", - "epoch [ 993] L = 34.704160, acc = 0.875000\n", - "epoch [ 994] L = 34.687652, acc = 0.875000\n", - "epoch [ 995] L = 34.671104, acc = 0.875000\n", - "epoch [ 996] L = 34.654514, acc = 0.875000\n", - "epoch [ 997] L = 34.637884, acc = 0.875000\n", - "epoch [ 998] L = 34.621214, acc = 0.875000\n", - "epoch [ 999] L = 34.604502, acc = 0.875000\n", - "epoch [1000] L = 34.587751, acc = 0.875000\n", - "epoch [1001] L = 34.570959, acc = 0.875000\n", - "epoch [1002] L = 34.554128, acc = 0.875000\n", - "epoch [1003] L = 34.537257, acc = 0.875000\n", - "epoch [1004] L = 34.520346, acc = 0.875000\n", - "epoch [1005] L = 34.503395, acc = 0.875000\n", - "epoch [1006] L = 34.486406, acc = 0.875000\n", - "epoch [1007] L = 34.469377, acc = 0.875000\n", - "epoch [1008] L = 34.452309, acc = 0.875000\n", - "epoch [1009] L = 34.435203, acc = 0.875000\n", - "epoch [1010] L = 34.418057, acc = 0.875000\n", - "epoch [1011] L = 34.400874, acc = 0.875000\n", - "epoch [1012] L = 34.383652, acc = 0.875000\n", - "epoch [1013] L = 34.366392, acc = 0.875000\n", - "epoch [1014] L = 34.349094, acc = 0.875000\n", - "epoch [1015] L = 34.331758, acc = 0.875000\n", - "epoch [1016] L = 34.314384, acc = 0.880000\n", - "epoch [1017] L = 34.296974, acc = 0.880000\n", - "epoch [1018] L = 34.279526, acc = 0.880000\n", - "epoch [1019] L = 34.262041, acc = 0.880000\n", - "epoch [1020] L = 34.244519, acc = 0.880000\n", - "epoch [1021] L = 34.226960, acc = 0.880000\n", - "epoch [1022] L = 34.209365, acc = 0.880000\n", - "epoch [1023] L = 34.191733, acc = 0.880000\n", - "epoch [1024] L = 34.174066, acc = 0.880000\n", - "epoch [1025] L = 34.156362, acc = 0.880000\n", - "epoch [1026] L = 34.138623, acc = 0.880000\n", - "epoch [1027] L = 34.120848, acc = 0.880000\n", - "epoch [1028] L = 34.103038, acc = 0.880000\n", - "epoch [1029] L = 34.085193, acc = 0.880000\n", - "epoch [1030] L = 34.067312, acc = 0.880000\n", - "epoch [1031] L = 34.049397, acc = 0.880000\n", - "epoch [1032] L = 34.031447, acc = 0.880000\n", - "epoch [1033] L = 34.013463, acc = 0.880000\n", - "epoch [1034] L = 33.995445, acc = 0.880000\n", - "epoch [1035] L = 33.977392, acc = 0.880000\n", - "epoch [1036] L = 33.959306, acc = 0.880000\n", - "epoch [1037] L = 33.941186, acc = 0.880000\n", - "epoch [1038] L = 33.923032, acc = 0.880000\n", - "epoch [1039] L = 33.904846, acc = 0.880000\n", - "epoch [1040] L = 33.886626, acc = 0.880000\n", - "epoch [1041] L = 33.868374, acc = 0.880000\n", - "epoch [1042] L = 33.850089, acc = 0.880000\n", - "epoch [1043] L = 33.831771, acc = 0.880000\n", - "epoch [1044] L = 33.813421, acc = 0.880000\n", - "epoch [1045] L = 33.795039, acc = 0.880000\n", - "epoch [1046] L = 33.776626, acc = 0.880000\n", - "epoch [1047] L = 33.758181, acc = 0.880000\n", - "epoch [1048] L = 33.739704, acc = 0.880000\n", - "epoch [1049] L = 33.721196, acc = 0.880000\n", - "epoch [1050] L = 33.702657, acc = 0.880000\n", - "epoch [1051] L = 33.684088, acc = 0.885000\n", - "epoch [1052] L = 33.665488, acc = 0.885000\n", - "epoch [1053] L = 33.646857, acc = 0.885000\n", - "epoch [1054] L = 33.628196, acc = 0.885000\n", - "epoch [1055] L = 33.609506, acc = 0.885000\n", - "epoch [1056] L = 33.590785, acc = 0.885000\n", - "epoch [1057] L = 33.572035, acc = 0.885000\n", - "epoch [1058] L = 33.553256, acc = 0.885000\n", - "epoch [1059] L = 33.534448, acc = 0.885000\n", - "epoch [1060] L = 33.515611, acc = 0.885000\n", - "epoch [1061] L = 33.496745, acc = 0.885000\n", - "epoch [1062] L = 33.477850, acc = 0.885000\n", - "epoch [1063] L = 33.458928, acc = 0.885000\n", - "epoch [1064] L = 33.439977, acc = 0.885000\n", - "epoch [1065] L = 33.420999, acc = 0.885000\n", - "epoch [1066] L = 33.401992, acc = 0.890000\n", - "epoch [1067] L = 33.382959, acc = 0.890000\n", - "epoch [1068] L = 33.363898, acc = 0.890000\n", - "epoch [1069] L = 33.344811, acc = 0.890000\n", - "epoch [1070] L = 33.325697, acc = 0.890000\n", - "epoch [1071] L = 33.306556, acc = 0.890000\n", - "epoch [1072] L = 33.287389, acc = 0.890000\n", - "epoch [1073] L = 33.268195, acc = 0.890000\n", - "epoch [1074] L = 33.248976, acc = 0.890000\n", - "epoch [1075] L = 33.229732, acc = 0.890000\n", - "epoch [1076] L = 33.210461, acc = 0.890000\n", - "epoch [1077] L = 33.191166, acc = 0.890000\n", - "epoch [1078] L = 33.171846, acc = 0.890000\n", - "epoch [1079] L = 33.152501, acc = 0.895000\n", - "epoch [1080] L = 33.133131, acc = 0.895000\n", - "epoch [1081] L = 33.113737, acc = 0.895000\n", - "epoch [1082] L = 33.094319, acc = 0.895000\n", - "epoch [1083] L = 33.074877, acc = 0.895000\n", - "epoch [1084] L = 33.055411, acc = 0.895000\n", - "epoch [1085] L = 33.035922, acc = 0.895000\n", - "epoch [1086] L = 33.016410, acc = 0.895000\n", - "epoch [1087] L = 32.996874, acc = 0.895000\n", - "epoch [1088] L = 32.977316, acc = 0.895000\n", - "epoch [1089] L = 32.957735, acc = 0.895000\n", - "epoch [1090] L = 32.938132, acc = 0.895000\n", - "epoch [1091] L = 32.918507, acc = 0.895000\n", - "epoch [1092] L = 32.898860, acc = 0.895000\n", - "epoch [1093] L = 32.879191, acc = 0.895000\n", - "epoch [1094] L = 32.859501, acc = 0.895000\n", - "epoch [1095] L = 32.839790, acc = 0.895000\n", - "epoch [1096] L = 32.820057, acc = 0.895000\n", - "epoch [1097] L = 32.800304, acc = 0.895000\n", - "epoch [1098] L = 32.780530, acc = 0.895000\n", - "epoch [1099] L = 32.760736, acc = 0.895000\n", - "epoch [1100] L = 32.740922, acc = 0.895000\n", - "epoch [1101] L = 32.721087, acc = 0.895000\n", - "epoch [1102] L = 32.701233, acc = 0.895000\n", - "epoch [1103] L = 32.681360, acc = 0.895000\n", - "epoch [1104] L = 32.661467, acc = 0.895000\n", - "epoch [1105] L = 32.641555, acc = 0.895000\n", - "epoch [1106] L = 32.621625, acc = 0.895000\n", - "epoch [1107] L = 32.601676, acc = 0.895000\n", - "epoch [1108] L = 32.581708, acc = 0.895000\n", - "epoch [1109] L = 32.561723, acc = 0.895000\n", - "epoch [1110] L = 32.541719, acc = 0.895000\n", - "epoch [1111] L = 32.521698, acc = 0.895000\n", - "epoch [1112] L = 32.501659, acc = 0.895000\n", - "epoch [1113] L = 32.481603, acc = 0.895000\n", - "epoch [1114] L = 32.461530, acc = 0.895000\n", - "epoch [1115] L = 32.441440, acc = 0.895000\n", - "epoch [1116] L = 32.421334, acc = 0.895000\n", - "epoch [1117] L = 32.401211, acc = 0.895000\n", - "epoch [1118] L = 32.381072, acc = 0.895000\n", - "epoch [1119] L = 32.360917, acc = 0.895000\n", - "epoch [1120] L = 32.340746, acc = 0.895000\n", - "epoch [1121] L = 32.320560, acc = 0.895000\n", - "epoch [1122] L = 32.300358, acc = 0.895000\n", - "epoch [1123] L = 32.280141, acc = 0.895000\n", - "epoch [1124] L = 32.259910, acc = 0.895000\n", - "epoch [1125] L = 32.239664, acc = 0.895000\n", - "epoch [1126] L = 32.219403, acc = 0.895000\n", - "epoch [1127] L = 32.199128, acc = 0.895000\n", - "epoch [1128] L = 32.178839, acc = 0.895000\n", - "epoch [1129] L = 32.158537, acc = 0.895000\n", - "epoch [1130] L = 32.138220, acc = 0.895000\n", - "epoch [1131] L = 32.117891, acc = 0.895000\n", - "epoch [1132] L = 32.097548, acc = 0.895000\n", - "epoch [1133] L = 32.077192, acc = 0.895000\n", - "epoch [1134] L = 32.056824, acc = 0.895000\n", - "epoch [1135] L = 32.036443, acc = 0.895000\n", - "epoch [1136] L = 32.016050, acc = 0.895000\n", - "epoch [1137] L = 31.995644, acc = 0.895000\n", - "epoch [1138] L = 31.975227, acc = 0.895000\n", - "epoch [1139] L = 31.954798, acc = 0.895000\n", - "epoch [1140] L = 31.934358, acc = 0.895000\n", - "epoch [1141] L = 31.913906, acc = 0.895000\n", - "epoch [1142] L = 31.893444, acc = 0.895000\n", - "epoch [1143] L = 31.872970, acc = 0.895000\n", - "epoch [1144] L = 31.852486, acc = 0.895000\n", - "epoch [1145] L = 31.831992, acc = 0.895000\n", - "epoch [1146] L = 31.811487, acc = 0.895000\n", - "epoch [1147] L = 31.790972, acc = 0.895000\n", - "epoch [1148] L = 31.770448, acc = 0.895000\n", - "epoch [1149] L = 31.749914, acc = 0.895000\n", - "epoch [1150] L = 31.729371, acc = 0.895000\n", - "epoch [1151] L = 31.708818, acc = 0.895000\n", - "epoch [1152] L = 31.688256, acc = 0.895000\n", - "epoch [1153] L = 31.667686, acc = 0.895000\n", - "epoch [1154] L = 31.647107, acc = 0.895000\n", - "epoch [1155] L = 31.626520, acc = 0.895000\n", - "epoch [1156] L = 31.605925, acc = 0.895000\n", - "epoch [1157] L = 31.585321, acc = 0.900000\n", - "epoch [1158] L = 31.564710, acc = 0.900000\n", - "epoch [1159] L = 31.544092, acc = 0.900000\n", - "epoch [1160] L = 31.523466, acc = 0.900000\n", - "epoch [1161] L = 31.502833, acc = 0.900000\n", - "epoch [1162] L = 31.482192, acc = 0.900000\n", - "epoch [1163] L = 31.461546, acc = 0.900000\n", - "epoch [1164] L = 31.440892, acc = 0.900000\n", - "epoch [1165] L = 31.420233, acc = 0.900000\n", - "epoch [1166] L = 31.399567, acc = 0.900000\n", - "epoch [1167] L = 31.378895, acc = 0.900000\n", - "epoch [1168] L = 31.358217, acc = 0.900000\n", - "epoch [1169] L = 31.337534, acc = 0.900000\n", - "epoch [1170] L = 31.316845, acc = 0.900000\n", - "epoch [1171] L = 31.296152, acc = 0.900000\n", - "epoch [1172] L = 31.275453, acc = 0.900000\n", - "epoch [1173] L = 31.254749, acc = 0.900000\n", - "epoch [1174] L = 31.234041, acc = 0.900000\n", - "epoch [1175] L = 31.213328, acc = 0.900000\n", - "epoch [1176] L = 31.192612, acc = 0.900000\n", - "epoch [1177] L = 31.171891, acc = 0.900000\n", - "epoch [1178] L = 31.151166, acc = 0.900000\n", - "epoch [1179] L = 31.130438, acc = 0.900000\n", - "epoch [1180] L = 31.109706, acc = 0.900000\n", - "epoch [1181] L = 31.088971, acc = 0.900000\n", - "epoch [1182] L = 31.068232, acc = 0.900000\n", - "epoch [1183] L = 31.047491, acc = 0.900000\n", - "epoch [1184] L = 31.026747, acc = 0.900000\n", - "epoch [1185] L = 31.006001, acc = 0.900000\n", - "epoch [1186] L = 30.985252, acc = 0.900000\n", - "epoch [1187] L = 30.964501, acc = 0.900000\n", - "epoch [1188] L = 30.943748, acc = 0.900000\n", - "epoch [1189] L = 30.922993, acc = 0.900000\n", - "epoch [1190] L = 30.902236, acc = 0.900000\n", - "epoch [1191] L = 30.881479, acc = 0.900000\n", - "epoch [1192] L = 30.860719, acc = 0.900000\n", - "epoch [1193] L = 30.839959, acc = 0.900000\n", - "epoch [1194] L = 30.819198, acc = 0.900000\n", - "epoch [1195] L = 30.798436, acc = 0.900000\n", - "epoch [1196] L = 30.777673, acc = 0.900000\n", - "epoch [1197] L = 30.756910, acc = 0.905000\n", - "epoch [1198] L = 30.736147, acc = 0.905000\n", - "epoch [1199] L = 30.715384, acc = 0.905000\n", - "epoch [1200] L = 30.694621, acc = 0.905000\n", - "epoch [1201] L = 30.673858, acc = 0.905000\n", - "epoch [1202] L = 30.653096, acc = 0.905000\n", - "epoch [1203] L = 30.632334, acc = 0.905000\n", - "epoch [1204] L = 30.611573, acc = 0.905000\n", - "epoch [1205] L = 30.590813, acc = 0.905000\n", - "epoch [1206] L = 30.570055, acc = 0.905000\n", - "epoch [1207] L = 30.549297, acc = 0.905000\n", - "epoch [1208] L = 30.528541, acc = 0.905000\n", - "epoch [1209] L = 30.507787, acc = 0.905000\n", - "epoch [1210] L = 30.487034, acc = 0.905000\n", - "epoch [1211] L = 30.466284, acc = 0.905000\n", - "epoch [1212] L = 30.445536, acc = 0.905000\n", - "epoch [1213] L = 30.424790, acc = 0.905000\n", - "epoch [1214] L = 30.404046, acc = 0.905000\n", - "epoch [1215] L = 30.383305, acc = 0.905000\n", - "epoch [1216] L = 30.362567, acc = 0.905000\n", - "epoch [1217] L = 30.341832, acc = 0.905000\n", - "epoch [1218] L = 30.321100, acc = 0.905000\n", - "epoch [1219] L = 30.300371, acc = 0.905000\n", - "epoch [1220] L = 30.279646, acc = 0.905000\n", - "epoch [1221] L = 30.258924, acc = 0.905000\n", - "epoch [1222] L = 30.238207, acc = 0.905000\n", - "epoch [1223] L = 30.217493, acc = 0.905000\n", - "epoch [1224] L = 30.196783, acc = 0.905000\n", - "epoch [1225] L = 30.176077, acc = 0.905000\n", - "epoch [1226] L = 30.155375, acc = 0.905000\n", - "epoch [1227] L = 30.134679, acc = 0.905000\n", - "epoch [1228] L = 30.113987, acc = 0.905000\n", - "epoch [1229] L = 30.093299, acc = 0.910000\n", - "epoch [1230] L = 30.072617, acc = 0.910000\n", - "epoch [1231] L = 30.051940, acc = 0.910000\n", - "epoch [1232] L = 30.031268, acc = 0.910000\n", - "epoch [1233] L = 30.010601, acc = 0.910000\n", - "epoch [1234] L = 29.989940, acc = 0.915000\n", - "epoch [1235] L = 29.969285, acc = 0.915000\n", - "epoch [1236] L = 29.948636, acc = 0.915000\n", - "epoch [1237] L = 29.927992, acc = 0.915000\n", - "epoch [1238] L = 29.907355, acc = 0.915000\n", - "epoch [1239] L = 29.886724, acc = 0.915000\n", - "epoch [1240] L = 29.866100, acc = 0.915000\n", - "epoch [1241] L = 29.845482, acc = 0.915000\n", - "epoch [1242] L = 29.824871, acc = 0.915000\n", - "epoch [1243] L = 29.804267, acc = 0.915000\n", - "epoch [1244] L = 29.783670, acc = 0.915000\n", - "epoch [1245] L = 29.763080, acc = 0.915000\n", - "epoch [1246] L = 29.742497, acc = 0.915000\n", - "epoch [1247] L = 29.721922, acc = 0.915000\n", - "epoch [1248] L = 29.701354, acc = 0.915000\n", - "epoch [1249] L = 29.680794, acc = 0.915000\n", - "epoch [1250] L = 29.660242, acc = 0.915000\n", - "epoch [1251] L = 29.639697, acc = 0.915000\n", - "epoch [1252] L = 29.619161, acc = 0.915000\n", - "epoch [1253] L = 29.598633, acc = 0.915000\n", - "epoch [1254] L = 29.578114, acc = 0.915000\n", - "epoch [1255] L = 29.557603, acc = 0.915000\n", - "epoch [1256] L = 29.537100, acc = 0.915000\n", - "epoch [1257] L = 29.516607, acc = 0.915000\n", - "epoch [1258] L = 29.496122, acc = 0.915000\n", - "epoch [1259] L = 29.475646, acc = 0.915000\n", - "epoch [1260] L = 29.455180, acc = 0.915000\n", - "epoch [1261] L = 29.434722, acc = 0.915000\n", - "epoch [1262] L = 29.414274, acc = 0.915000\n", - "epoch [1263] L = 29.393836, acc = 0.915000\n", - "epoch [1264] L = 29.373407, acc = 0.915000\n", - "epoch [1265] L = 29.352988, acc = 0.915000\n", - "epoch [1266] L = 29.332579, acc = 0.915000\n", - "epoch [1267] L = 29.312180, acc = 0.915000\n", - "epoch [1268] L = 29.291792, acc = 0.915000\n", - "epoch [1269] L = 29.271413, acc = 0.915000\n", - "epoch [1270] L = 29.251045, acc = 0.915000\n", - "epoch [1271] L = 29.230687, acc = 0.915000\n", - "epoch [1272] L = 29.210340, acc = 0.915000\n", - "epoch [1273] L = 29.190004, acc = 0.915000\n", - "epoch [1274] L = 29.169678, acc = 0.915000\n", - "epoch [1275] L = 29.149364, acc = 0.915000\n", - "epoch [1276] L = 29.129060, acc = 0.915000\n", - "epoch [1277] L = 29.108768, acc = 0.915000\n", - "epoch [1278] L = 29.088487, acc = 0.915000\n", - "epoch [1279] L = 29.068218, acc = 0.915000\n", - "epoch [1280] L = 29.047960, acc = 0.915000\n", - "epoch [1281] L = 29.027714, acc = 0.915000\n", - "epoch [1282] L = 29.007479, acc = 0.915000\n", - "epoch [1283] L = 28.987257, acc = 0.915000\n", - "epoch [1284] L = 28.967046, acc = 0.915000\n", - "epoch [1285] L = 28.946848, acc = 0.915000\n", - "epoch [1286] L = 28.926662, acc = 0.915000\n", - "epoch [1287] L = 28.906488, acc = 0.915000\n", - "epoch [1288] L = 28.886326, acc = 0.915000\n", - "epoch [1289] L = 28.866177, acc = 0.915000\n", - "epoch [1290] L = 28.846041, acc = 0.915000\n", - "epoch [1291] L = 28.825917, acc = 0.915000\n", - "epoch [1292] L = 28.805807, acc = 0.915000\n", - "epoch [1293] L = 28.785709, acc = 0.915000\n", - "epoch [1294] L = 28.765624, acc = 0.915000\n", - "epoch [1295] L = 28.745553, acc = 0.915000\n", - "epoch [1296] L = 28.725494, acc = 0.915000\n", - "epoch [1297] L = 28.705449, acc = 0.915000\n", - "epoch [1298] L = 28.685418, acc = 0.915000\n", - "epoch [1299] L = 28.665400, acc = 0.915000\n", - "epoch [1300] L = 28.645396, acc = 0.915000\n", - "epoch [1301] L = 28.625405, acc = 0.915000\n", - "epoch [1302] L = 28.605429, acc = 0.915000\n", - "epoch [1303] L = 28.585466, acc = 0.915000\n", - "epoch [1304] L = 28.565518, acc = 0.915000\n", - "epoch [1305] L = 28.545583, acc = 0.915000\n", - "epoch [1306] L = 28.525663, acc = 0.915000\n", - "epoch [1307] L = 28.505757, acc = 0.915000\n", - "epoch [1308] L = 28.485866, acc = 0.915000\n", - "epoch [1309] L = 28.465989, acc = 0.915000\n", - "epoch [1310] L = 28.446126, acc = 0.915000\n", - "epoch [1311] L = 28.426279, acc = 0.915000\n", - "epoch [1312] L = 28.406446, acc = 0.915000\n", - "epoch [1313] L = 28.386628, acc = 0.915000\n", - "epoch [1314] L = 28.366825, acc = 0.915000\n", - "epoch [1315] L = 28.347037, acc = 0.915000\n", - "epoch [1316] L = 28.327264, acc = 0.915000\n", - "epoch [1317] L = 28.307507, acc = 0.915000\n", - "epoch [1318] L = 28.287764, acc = 0.915000\n", - "epoch [1319] L = 28.268038, acc = 0.915000\n", - "epoch [1320] L = 28.248326, acc = 0.915000\n", - "epoch [1321] L = 28.228631, acc = 0.915000\n", - "epoch [1322] L = 28.208951, acc = 0.915000\n", - "epoch [1323] L = 28.189286, acc = 0.915000\n", - "epoch [1324] L = 28.169638, acc = 0.915000\n", - "epoch [1325] L = 28.150005, acc = 0.915000\n", - "epoch [1326] L = 28.130388, acc = 0.915000\n", - "epoch [1327] L = 28.110788, acc = 0.915000\n", - "epoch [1328] L = 28.091204, acc = 0.915000\n", - "epoch [1329] L = 28.071635, acc = 0.915000\n", - "epoch [1330] L = 28.052084, acc = 0.915000\n", - "epoch [1331] L = 28.032548, acc = 0.915000\n", - "epoch [1332] L = 28.013029, acc = 0.915000\n", - "epoch [1333] L = 27.993527, acc = 0.915000\n", - "epoch [1334] L = 27.974041, acc = 0.915000\n", - "epoch [1335] L = 27.954572, acc = 0.915000\n", - "epoch [1336] L = 27.935119, acc = 0.915000\n", - "epoch [1337] L = 27.915684, acc = 0.915000\n", - "epoch [1338] L = 27.896265, acc = 0.915000\n", - "epoch [1339] L = 27.876863, acc = 0.915000\n", - "epoch [1340] L = 27.857479, acc = 0.915000\n", - "epoch [1341] L = 27.838111, acc = 0.915000\n", - "epoch [1342] L = 27.818761, acc = 0.915000\n", - "epoch [1343] L = 27.799428, acc = 0.915000\n", - "epoch [1344] L = 27.780113, acc = 0.915000\n", - "epoch [1345] L = 27.760814, acc = 0.915000\n", - "epoch [1346] L = 27.741534, acc = 0.915000\n", - "epoch [1347] L = 27.722270, acc = 0.915000\n", - "epoch [1348] L = 27.703025, acc = 0.915000\n", - "epoch [1349] L = 27.683797, acc = 0.915000\n", - "epoch [1350] L = 27.664587, acc = 0.915000\n", - "epoch [1351] L = 27.645395, acc = 0.915000\n", - "epoch [1352] L = 27.626220, acc = 0.915000\n", - "epoch [1353] L = 27.607064, acc = 0.915000\n", - "epoch [1354] L = 27.587925, acc = 0.915000\n", - "epoch [1355] L = 27.568805, acc = 0.915000\n", - "epoch [1356] L = 27.549703, acc = 0.915000\n", - "epoch [1357] L = 27.530619, acc = 0.915000\n", - "epoch [1358] L = 27.511553, acc = 0.915000\n", - "epoch [1359] L = 27.492505, acc = 0.915000\n", - "epoch [1360] L = 27.473476, acc = 0.915000\n", - "epoch [1361] L = 27.454465, acc = 0.915000\n", - "epoch [1362] L = 27.435473, acc = 0.915000\n", - "epoch [1363] L = 27.416500, acc = 0.915000\n", - "epoch [1364] L = 27.397545, acc = 0.915000\n", - "epoch [1365] L = 27.378608, acc = 0.915000\n", - "epoch [1366] L = 27.359691, acc = 0.915000\n", - "epoch [1367] L = 27.340792, acc = 0.915000\n", - "epoch [1368] L = 27.321912, acc = 0.915000\n", - "epoch [1369] L = 27.303051, acc = 0.915000\n", - "epoch [1370] L = 27.284209, acc = 0.915000\n", - "epoch [1371] L = 27.265386, acc = 0.915000\n", - "epoch [1372] L = 27.246582, acc = 0.915000\n", - "epoch [1373] L = 27.227797, acc = 0.915000\n", - "epoch [1374] L = 27.209031, acc = 0.915000\n", - "epoch [1375] L = 27.190285, acc = 0.915000\n", - "epoch [1376] L = 27.171558, acc = 0.915000\n", - "epoch [1377] L = 27.152850, acc = 0.915000\n", - "epoch [1378] L = 27.134161, acc = 0.915000\n", - "epoch [1379] L = 27.115492, acc = 0.915000\n", - "epoch [1380] L = 27.096842, acc = 0.915000\n", - "epoch [1381] L = 27.078212, acc = 0.915000\n", - "epoch [1382] L = 27.059602, acc = 0.915000\n", - "epoch [1383] L = 27.041011, acc = 0.915000\n", - "epoch [1384] L = 27.022439, acc = 0.915000\n", - "epoch [1385] L = 27.003888, acc = 0.915000\n", - "epoch [1386] L = 26.985356, acc = 0.915000\n", - "epoch [1387] L = 26.966844, acc = 0.915000\n" + "epoch [ 521] L = 38.463277, acc = 0.850000\n", + "epoch [ 522] L = 38.462659, acc = 0.850000\n", + "epoch [ 523] L = 38.462040, acc = 0.850000\n", + "epoch [ 524] L = 38.461420, acc = 0.850000\n", + "epoch [ 525] L = 38.460800, acc = 0.850000\n", + "epoch [ 526] L = 38.460180, acc = 0.850000\n", + "epoch [ 527] L = 38.459560, acc = 0.850000\n", + "epoch [ 528] L = 38.458939, acc = 0.850000\n", + "epoch [ 529] L = 38.458318, acc = 0.850000\n", + "epoch [ 530] L = 38.457696, acc = 0.850000\n", + "epoch [ 531] L = 38.457074, acc = 0.850000\n", + "epoch [ 532] L = 38.456452, acc = 0.850000\n", + "epoch [ 533] L = 38.455829, acc = 0.850000\n", + "epoch [ 534] L = 38.455205, acc = 0.850000\n", + "epoch [ 535] L = 38.454581, acc = 0.850000\n", + "epoch [ 536] L = 38.453957, acc = 0.850000\n", + "epoch [ 537] L = 38.453332, acc = 0.850000\n", + "epoch [ 538] L = 38.452706, acc = 0.850000\n", + "epoch [ 539] L = 38.452080, acc = 0.850000\n", + "epoch [ 540] L = 38.451453, acc = 0.850000\n", + "epoch [ 541] L = 38.450826, acc = 0.850000\n", + "epoch [ 542] L = 38.450198, acc = 0.850000\n", + "epoch [ 543] L = 38.449569, acc = 0.850000\n", + "epoch [ 544] L = 38.448940, acc = 0.850000\n", + "epoch [ 545] L = 38.448310, acc = 0.850000\n", + "epoch [ 546] L = 38.447680, acc = 0.850000\n", + "epoch [ 547] L = 38.447049, acc = 0.850000\n", + "epoch [ 548] L = 38.446417, acc = 0.850000\n", + "epoch [ 549] L = 38.445784, acc = 0.850000\n", + "epoch [ 550] L = 38.445151, acc = 0.850000\n", + "epoch [ 551] L = 38.444517, acc = 0.850000\n", + "epoch [ 552] L = 38.443882, acc = 0.850000\n", + "epoch [ 553] L = 38.443246, acc = 0.850000\n", + "epoch [ 554] L = 38.442610, acc = 0.850000\n", + "epoch [ 555] L = 38.441973, acc = 0.850000\n", + "epoch [ 556] L = 38.441335, acc = 0.850000\n", + "epoch [ 557] L = 38.440696, acc = 0.850000\n", + "epoch [ 558] L = 38.440056, acc = 0.850000\n", + "epoch [ 559] L = 38.439416, acc = 0.850000\n", + "epoch [ 560] L = 38.438774, acc = 0.850000\n", + "epoch [ 561] L = 38.438132, acc = 0.850000\n", + "epoch [ 562] L = 38.437489, acc = 0.850000\n", + "epoch [ 563] L = 38.436844, acc = 0.850000\n", + "epoch [ 564] L = 38.436199, acc = 0.850000\n", + "epoch [ 565] L = 38.435553, acc = 0.850000\n", + "epoch [ 566] L = 38.434906, acc = 0.850000\n", + "epoch [ 567] L = 38.434258, acc = 0.850000\n", + "epoch [ 568] L = 38.433609, acc = 0.850000\n", + "epoch [ 569] L = 38.432959, acc = 0.850000\n", + "epoch [ 570] L = 38.432308, acc = 0.850000\n", + "epoch [ 571] L = 38.431656, acc = 0.850000\n", + "epoch [ 572] L = 38.431003, acc = 0.850000\n", + "epoch [ 573] L = 38.430348, acc = 0.850000\n", + "epoch [ 574] L = 38.429693, acc = 0.850000\n", + "epoch [ 575] L = 38.429037, acc = 0.850000\n", + "epoch [ 576] L = 38.428379, acc = 0.850000\n", + "epoch [ 577] L = 38.427720, acc = 0.850000\n", + "epoch [ 578] L = 38.427060, acc = 0.850000\n", + "epoch [ 579] L = 38.426399, acc = 0.850000\n", + "epoch [ 580] L = 38.425737, acc = 0.850000\n", + "epoch [ 581] L = 38.425074, acc = 0.850000\n", + "epoch [ 582] L = 38.424409, acc = 0.850000\n", + "epoch [ 583] L = 38.423743, acc = 0.850000\n", + "epoch [ 584] L = 38.423076, acc = 0.850000\n", + "epoch [ 585] L = 38.422408, acc = 0.850000\n", + "epoch [ 586] L = 38.421739, acc = 0.850000\n", + "epoch [ 587] L = 38.421068, acc = 0.850000\n", + "epoch [ 588] L = 38.420396, acc = 0.850000\n", + "epoch [ 589] L = 38.419722, acc = 0.850000\n", + "epoch [ 590] L = 38.419047, acc = 0.850000\n", + "epoch [ 591] L = 38.418371, acc = 0.850000\n", + "epoch [ 592] L = 38.417694, acc = 0.850000\n", + "epoch [ 593] L = 38.417015, acc = 0.850000\n", + "epoch [ 594] L = 38.416335, acc = 0.850000\n", + "epoch [ 595] L = 38.415653, acc = 0.850000\n", + "epoch [ 596] L = 38.414970, acc = 0.850000\n", + "epoch [ 597] L = 38.414285, acc = 0.850000\n", + "epoch [ 598] L = 38.413599, acc = 0.850000\n", + "epoch [ 599] L = 38.412912, acc = 0.850000\n", + "epoch [ 600] L = 38.412223, acc = 0.850000\n", + "epoch [ 601] L = 38.411533, acc = 0.850000\n", + "epoch [ 602] L = 38.410841, acc = 0.850000\n", + "epoch [ 603] L = 38.410147, acc = 0.850000\n", + "epoch [ 604] L = 38.409452, acc = 0.850000\n", + "epoch [ 605] L = 38.408756, acc = 0.850000\n", + "epoch [ 606] L = 38.408058, acc = 0.850000\n", + "epoch [ 607] L = 38.407358, acc = 0.850000\n", + "epoch [ 608] L = 38.406657, acc = 0.850000\n", + "epoch [ 609] L = 38.405954, acc = 0.850000\n", + "epoch [ 610] L = 38.405249, acc = 0.850000\n", + "epoch [ 611] L = 38.404543, acc = 0.850000\n", + "epoch [ 612] L = 38.403835, acc = 0.850000\n", + "epoch [ 613] L = 38.403126, acc = 0.850000\n", + "epoch [ 614] L = 38.402414, acc = 0.850000\n", + "epoch [ 615] L = 38.401701, acc = 0.850000\n", + "epoch [ 616] L = 38.400987, acc = 0.850000\n", + "epoch [ 617] L = 38.400270, acc = 0.850000\n", + "epoch [ 618] L = 38.399552, acc = 0.850000\n", + "epoch [ 619] L = 38.398832, acc = 0.850000\n", + "epoch [ 620] L = 38.398110, acc = 0.850000\n", + "epoch [ 621] L = 38.397387, acc = 0.850000\n", + "epoch [ 622] L = 38.396661, acc = 0.850000\n", + "epoch [ 623] L = 38.395934, acc = 0.850000\n", + "epoch [ 624] L = 38.395205, acc = 0.850000\n", + "epoch [ 625] L = 38.394474, acc = 0.850000\n", + "epoch [ 626] L = 38.393741, acc = 0.850000\n", + "epoch [ 627] L = 38.393006, acc = 0.850000\n", + "epoch [ 628] L = 38.392269, acc = 0.850000\n", + "epoch [ 629] L = 38.391531, acc = 0.850000\n", + "epoch [ 630] L = 38.390790, acc = 0.850000\n", + "epoch [ 631] L = 38.390047, acc = 0.850000\n", + "epoch [ 632] L = 38.389303, acc = 0.850000\n", + "epoch [ 633] L = 38.388556, acc = 0.850000\n", + "epoch [ 634] L = 38.387807, acc = 0.850000\n", + "epoch [ 635] L = 38.387057, acc = 0.850000\n", + "epoch [ 636] L = 38.386304, acc = 0.850000\n", + "epoch [ 637] L = 38.385549, acc = 0.850000\n", + "epoch [ 638] L = 38.384792, acc = 0.850000\n", + "epoch [ 639] L = 38.384033, acc = 0.850000\n", + "epoch [ 640] L = 38.383272, acc = 0.850000\n", + "epoch [ 641] L = 38.382508, acc = 0.850000\n", + "epoch [ 642] L = 38.381743, acc = 0.850000\n", + "epoch [ 643] L = 38.380975, acc = 0.850000\n", + "epoch [ 644] L = 38.380205, acc = 0.850000\n", + "epoch [ 645] L = 38.379433, acc = 0.850000\n", + "epoch [ 646] L = 38.378658, acc = 0.850000\n", + "epoch [ 647] L = 38.377882, acc = 0.850000\n", + "epoch [ 648] L = 38.377103, acc = 0.850000\n", + "epoch [ 649] L = 38.376321, acc = 0.850000\n", + "epoch [ 650] L = 38.375538, acc = 0.850000\n", + "epoch [ 651] L = 38.374752, acc = 0.850000\n", + "epoch [ 652] L = 38.373964, acc = 0.850000\n", + "epoch [ 653] L = 38.373173, acc = 0.850000\n", + "epoch [ 654] L = 38.372380, acc = 0.850000\n", + "epoch [ 655] L = 38.371585, acc = 0.850000\n", + "epoch [ 656] L = 38.370787, acc = 0.850000\n", + "epoch [ 657] L = 38.369986, acc = 0.850000\n", + "epoch [ 658] L = 38.369184, acc = 0.850000\n", + "epoch [ 659] L = 38.368378, acc = 0.850000\n", + "epoch [ 660] L = 38.367570, acc = 0.850000\n", + "epoch [ 661] L = 38.366760, acc = 0.850000\n", + "epoch [ 662] L = 38.365947, acc = 0.850000\n", + "epoch [ 663] L = 38.365132, acc = 0.850000\n", + "epoch [ 664] L = 38.364314, acc = 0.850000\n", + "epoch [ 665] L = 38.363493, acc = 0.850000\n", + "epoch [ 666] L = 38.362670, acc = 0.850000\n", + "epoch [ 667] L = 38.361844, acc = 0.850000\n", + "epoch [ 668] L = 38.361015, acc = 0.850000\n", + "epoch [ 669] L = 38.360184, acc = 0.850000\n", + "epoch [ 670] L = 38.359350, acc = 0.850000\n", + "epoch [ 671] L = 38.358513, acc = 0.850000\n", + "epoch [ 672] L = 38.357674, acc = 0.850000\n", + "epoch [ 673] L = 38.356832, acc = 0.850000\n", + "epoch [ 674] L = 38.355987, acc = 0.850000\n", + "epoch [ 675] L = 38.355139, acc = 0.850000\n", + "epoch [ 676] L = 38.354288, acc = 0.850000\n", + "epoch [ 677] L = 38.353435, acc = 0.850000\n", + "epoch [ 678] L = 38.352578, acc = 0.850000\n", + "epoch [ 679] L = 38.351719, acc = 0.850000\n", + "epoch [ 680] L = 38.350857, acc = 0.850000\n", + "epoch [ 681] L = 38.349992, acc = 0.850000\n", + "epoch [ 682] L = 38.349124, acc = 0.850000\n", + "epoch [ 683] L = 38.348253, acc = 0.850000\n", + "epoch [ 684] L = 38.347378, acc = 0.850000\n", + "epoch [ 685] L = 38.346501, acc = 0.850000\n", + "epoch [ 686] L = 38.345621, acc = 0.850000\n", + "epoch [ 687] L = 38.344738, acc = 0.850000\n", + "epoch [ 688] L = 38.343852, acc = 0.850000\n", + "epoch [ 689] L = 38.342962, acc = 0.850000\n", + "epoch [ 690] L = 38.342069, acc = 0.850000\n", + "epoch [ 691] L = 38.341174, acc = 0.850000\n", + "epoch [ 692] L = 38.340275, acc = 0.850000\n", + "epoch [ 693] L = 38.339372, acc = 0.850000\n", + "epoch [ 694] L = 38.338467, acc = 0.850000\n", + "epoch [ 695] L = 38.337558, acc = 0.850000\n", + "epoch [ 696] L = 38.336646, acc = 0.850000\n", + "epoch [ 697] L = 38.335731, acc = 0.850000\n", + "epoch [ 698] L = 38.334812, acc = 0.850000\n", + "epoch [ 699] L = 38.333890, acc = 0.850000\n", + "epoch [ 700] L = 38.332965, acc = 0.850000\n", + "epoch [ 701] L = 38.332036, acc = 0.850000\n", + "epoch [ 702] L = 38.331104, acc = 0.850000\n", + "epoch [ 703] L = 38.330168, acc = 0.850000\n", + "epoch [ 704] L = 38.329229, acc = 0.850000\n", + "epoch [ 705] L = 38.328287, acc = 0.850000\n", + "epoch [ 706] L = 38.327340, acc = 0.850000\n", + "epoch [ 707] L = 38.326391, acc = 0.850000\n", + "epoch [ 708] L = 38.325437, acc = 0.850000\n", + "epoch [ 709] L = 38.324480, acc = 0.850000\n", + "epoch [ 710] L = 38.323520, acc = 0.850000\n", + "epoch [ 711] L = 38.322556, acc = 0.850000\n", + "epoch [ 712] L = 38.321588, acc = 0.850000\n", + "epoch [ 713] L = 38.320616, acc = 0.850000\n", + "epoch [ 714] L = 38.319641, acc = 0.850000\n", + "epoch [ 715] L = 38.318661, acc = 0.850000\n", + "epoch [ 716] L = 38.317679, acc = 0.850000\n", + "epoch [ 717] L = 38.316692, acc = 0.850000\n", + "epoch [ 718] L = 38.315701, acc = 0.850000\n", + "epoch [ 719] L = 38.314707, acc = 0.850000\n", + "epoch [ 720] L = 38.313708, acc = 0.850000\n", + "epoch [ 721] L = 38.312706, acc = 0.850000\n", + "epoch [ 722] L = 38.311700, acc = 0.850000\n", + "epoch [ 723] L = 38.310689, acc = 0.850000\n", + "epoch [ 724] L = 38.309675, acc = 0.850000\n", + "epoch [ 725] L = 38.308657, acc = 0.850000\n", + "epoch [ 726] L = 38.307634, acc = 0.850000\n", + "epoch [ 727] L = 38.306608, acc = 0.850000\n", + "epoch [ 728] L = 38.305577, acc = 0.850000\n", + "epoch [ 729] L = 38.304542, acc = 0.850000\n", + "epoch [ 730] L = 38.303503, acc = 0.850000\n", + "epoch [ 731] L = 38.302460, acc = 0.850000\n", + "epoch [ 732] L = 38.301412, acc = 0.850000\n", + "epoch [ 733] L = 38.300360, acc = 0.850000\n", + "epoch [ 734] L = 38.299304, acc = 0.850000\n", + "epoch [ 735] L = 38.298244, acc = 0.850000\n", + "epoch [ 736] L = 38.297179, acc = 0.850000\n", + "epoch [ 737] L = 38.296110, acc = 0.850000\n", + "epoch [ 738] L = 38.295036, acc = 0.850000\n", + "epoch [ 739] L = 38.293958, acc = 0.850000\n", + "epoch [ 740] L = 38.292875, acc = 0.850000\n", + "epoch [ 741] L = 38.291788, acc = 0.850000\n", + "epoch [ 742] L = 38.290696, acc = 0.850000\n", + "epoch [ 743] L = 38.289600, acc = 0.850000\n", + "epoch [ 744] L = 38.288499, acc = 0.850000\n", + "epoch [ 745] L = 38.287393, acc = 0.850000\n", + "epoch [ 746] L = 38.286282, acc = 0.850000\n", + "epoch [ 747] L = 38.285167, acc = 0.850000\n", + "epoch [ 748] L = 38.284047, acc = 0.850000\n", + "epoch [ 749] L = 38.282923, acc = 0.850000\n", + "epoch [ 750] L = 38.281793, acc = 0.850000\n", + "epoch [ 751] L = 38.280659, acc = 0.850000\n", + "epoch [ 752] L = 38.279520, acc = 0.850000\n", + "epoch [ 753] L = 38.278375, acc = 0.850000\n", + "epoch [ 754] L = 38.277226, acc = 0.850000\n", + "epoch [ 755] L = 38.276072, acc = 0.850000\n", + "epoch [ 756] L = 38.274913, acc = 0.850000\n", + "epoch [ 757] L = 38.273748, acc = 0.850000\n", + "epoch [ 758] L = 38.272579, acc = 0.850000\n", + "epoch [ 759] L = 38.271404, acc = 0.850000\n", + "epoch [ 760] L = 38.270225, acc = 0.850000\n", + "epoch [ 761] L = 38.269040, acc = 0.850000\n", + "epoch [ 762] L = 38.267849, acc = 0.850000\n", + "epoch [ 763] L = 38.266654, acc = 0.850000\n", + "epoch [ 764] L = 38.265453, acc = 0.850000\n", + "epoch [ 765] L = 38.264247, acc = 0.850000\n", + "epoch [ 766] L = 38.263035, acc = 0.850000\n", + "epoch [ 767] L = 38.261818, acc = 0.850000\n", + "epoch [ 768] L = 38.260595, acc = 0.850000\n", + "epoch [ 769] L = 38.259367, acc = 0.850000\n", + "epoch [ 770] L = 38.258133, acc = 0.850000\n", + "epoch [ 771] L = 38.256894, acc = 0.850000\n", + "epoch [ 772] L = 38.255649, acc = 0.850000\n", + "epoch [ 773] L = 38.254399, acc = 0.850000\n", + "epoch [ 774] L = 38.253142, acc = 0.850000\n", + "epoch [ 775] L = 38.251880, acc = 0.850000\n", + "epoch [ 776] L = 38.250612, acc = 0.850000\n", + "epoch [ 777] L = 38.249338, acc = 0.850000\n", + "epoch [ 778] L = 38.248059, acc = 0.850000\n", + "epoch [ 779] L = 38.246773, acc = 0.850000\n", + "epoch [ 780] L = 38.245482, acc = 0.850000\n", + "epoch [ 781] L = 38.244184, acc = 0.850000\n", + "epoch [ 782] L = 38.242880, acc = 0.850000\n", + "epoch [ 783] L = 38.241571, acc = 0.850000\n", + "epoch [ 784] L = 38.240255, acc = 0.850000\n", + "epoch [ 785] L = 38.238933, acc = 0.850000\n", + "epoch [ 786] L = 38.237604, acc = 0.850000\n", + "epoch [ 787] L = 38.236270, acc = 0.850000\n", + "epoch [ 788] L = 38.234929, acc = 0.850000\n", + "epoch [ 789] L = 38.233582, acc = 0.850000\n", + "epoch [ 790] L = 38.232228, acc = 0.850000\n", + "epoch [ 791] L = 38.230868, acc = 0.850000\n", + "epoch [ 792] L = 38.229502, acc = 0.850000\n", + "epoch [ 793] L = 38.228128, acc = 0.850000\n", + "epoch [ 794] L = 38.226749, acc = 0.850000\n", + "epoch [ 795] L = 38.225362, acc = 0.850000\n", + "epoch [ 796] L = 38.223969, acc = 0.850000\n", + "epoch [ 797] L = 38.222570, acc = 0.850000\n", + "epoch [ 798] L = 38.221163, acc = 0.850000\n", + "epoch [ 799] L = 38.219750, acc = 0.850000\n", + "epoch [ 800] L = 38.218330, acc = 0.850000\n", + "epoch [ 801] L = 38.216902, acc = 0.850000\n", + "epoch [ 802] L = 38.215468, acc = 0.850000\n", + "epoch [ 803] L = 38.214027, acc = 0.850000\n", + "epoch [ 804] L = 38.212579, acc = 0.850000\n", + "epoch [ 805] L = 38.211124, acc = 0.850000\n", + "epoch [ 806] L = 38.209661, acc = 0.850000\n", + "epoch [ 807] L = 38.208191, acc = 0.850000\n", + "epoch [ 808] L = 38.206715, acc = 0.850000\n", + "epoch [ 809] L = 38.205230, acc = 0.850000\n", + "epoch [ 810] L = 38.203739, acc = 0.850000\n", + "epoch [ 811] L = 38.202239, acc = 0.850000\n", + "epoch [ 812] L = 38.200733, acc = 0.850000\n", + "epoch [ 813] L = 38.199219, acc = 0.850000\n", + "epoch [ 814] L = 38.197697, acc = 0.850000\n", + "epoch [ 815] L = 38.196168, acc = 0.850000\n", + "epoch [ 816] L = 38.194631, acc = 0.850000\n", + "epoch [ 817] L = 38.193086, acc = 0.850000\n", + "epoch [ 818] L = 38.191534, acc = 0.850000\n", + "epoch [ 819] L = 38.189973, acc = 0.850000\n", + "epoch [ 820] L = 38.188405, acc = 0.850000\n", + "epoch [ 821] L = 38.186829, acc = 0.850000\n", + "epoch [ 822] L = 38.185244, acc = 0.850000\n", + "epoch [ 823] L = 38.183652, acc = 0.850000\n", + "epoch [ 824] L = 38.182051, acc = 0.850000\n", + "epoch [ 825] L = 38.180443, acc = 0.850000\n", + "epoch [ 826] L = 38.178826, acc = 0.850000\n", + "epoch [ 827] L = 38.177201, acc = 0.850000\n", + "epoch [ 828] L = 38.175567, acc = 0.850000\n", + "epoch [ 829] L = 38.173925, acc = 0.850000\n", + "epoch [ 830] L = 38.172274, acc = 0.850000\n", + "epoch [ 831] L = 38.170615, acc = 0.850000\n", + "epoch [ 832] L = 38.168948, acc = 0.850000\n", + "epoch [ 833] L = 38.167271, acc = 0.850000\n", + "epoch [ 834] L = 38.165586, acc = 0.850000\n", + "epoch [ 835] L = 38.163892, acc = 0.850000\n", + "epoch [ 836] L = 38.162190, acc = 0.850000\n", + "epoch [ 837] L = 38.160478, acc = 0.850000\n", + "epoch [ 838] L = 38.158757, acc = 0.850000\n", + "epoch [ 839] L = 38.157028, acc = 0.850000\n", + "epoch [ 840] L = 38.155289, acc = 0.850000\n", + "epoch [ 841] L = 38.153541, acc = 0.850000\n", + "epoch [ 842] L = 38.151784, acc = 0.850000\n", + "epoch [ 843] L = 38.150017, acc = 0.850000\n", + "epoch [ 844] L = 38.148242, acc = 0.850000\n", + "epoch [ 845] L = 38.146456, acc = 0.850000\n", + "epoch [ 846] L = 38.144662, acc = 0.850000\n", + "epoch [ 847] L = 38.142857, acc = 0.850000\n", + "epoch [ 848] L = 38.141043, acc = 0.850000\n", + "epoch [ 849] L = 38.139220, acc = 0.850000\n", + "epoch [ 850] L = 38.137386, acc = 0.850000\n", + "epoch [ 851] L = 38.135543, acc = 0.850000\n", + "epoch [ 852] L = 38.133690, acc = 0.850000\n", + "epoch [ 853] L = 38.131827, acc = 0.850000\n", + "epoch [ 854] L = 38.129954, acc = 0.850000\n", + "epoch [ 855] L = 38.128070, acc = 0.850000\n", + "epoch [ 856] L = 38.126177, acc = 0.850000\n", + "epoch [ 857] L = 38.124273, acc = 0.850000\n", + "epoch [ 858] L = 38.122359, acc = 0.850000\n", + "epoch [ 859] L = 38.120435, acc = 0.850000\n", + "epoch [ 860] L = 38.118500, acc = 0.850000\n", + "epoch [ 861] L = 38.116554, acc = 0.850000\n", + "epoch [ 862] L = 38.114598, acc = 0.850000\n", + "epoch [ 863] L = 38.112631, acc = 0.850000\n", + "epoch [ 864] L = 38.110654, acc = 0.850000\n", + "epoch [ 865] L = 38.108665, acc = 0.850000\n", + "epoch [ 866] L = 38.106666, acc = 0.850000\n", + "epoch [ 867] L = 38.104656, acc = 0.850000\n", + "epoch [ 868] L = 38.102634, acc = 0.850000\n", + "epoch [ 869] L = 38.100602, acc = 0.850000\n", + "epoch [ 870] L = 38.098558, acc = 0.850000\n", + "epoch [ 871] L = 38.096503, acc = 0.850000\n", + "epoch [ 872] L = 38.094436, acc = 0.850000\n", + "epoch [ 873] L = 38.092358, acc = 0.850000\n", + "epoch [ 874] L = 38.090269, acc = 0.850000\n", + "epoch [ 875] L = 38.088167, acc = 0.850000\n", + "epoch [ 876] L = 38.086054, acc = 0.850000\n", + "epoch [ 877] L = 38.083930, acc = 0.850000\n", + "epoch [ 878] L = 38.081793, acc = 0.850000\n", + "epoch [ 879] L = 38.079645, acc = 0.850000\n", + "epoch [ 880] L = 38.077484, acc = 0.850000\n", + "epoch [ 881] L = 38.075311, acc = 0.850000\n", + "epoch [ 882] L = 38.073126, acc = 0.850000\n", + "epoch [ 883] L = 38.070929, acc = 0.850000\n", + "epoch [ 884] L = 38.068719, acc = 0.850000\n", + "epoch [ 885] L = 38.066497, acc = 0.850000\n", + "epoch [ 886] L = 38.064262, acc = 0.850000\n", + "epoch [ 887] L = 38.062015, acc = 0.850000\n", + "epoch [ 888] L = 38.059755, acc = 0.850000\n", + "epoch [ 889] L = 38.057482, acc = 0.850000\n", + "epoch [ 890] L = 38.055196, acc = 0.850000\n", + "epoch [ 891] L = 38.052897, acc = 0.850000\n", + "epoch [ 892] L = 38.050585, acc = 0.850000\n", + "epoch [ 893] L = 38.048260, acc = 0.850000\n", + "epoch [ 894] L = 38.045921, acc = 0.850000\n", + "epoch [ 895] L = 38.043569, acc = 0.850000\n", + "epoch [ 896] L = 38.041204, acc = 0.850000\n", + "epoch [ 897] L = 38.038825, acc = 0.850000\n", + "epoch [ 898] L = 38.036432, acc = 0.850000\n", + "epoch [ 899] L = 38.034026, acc = 0.850000\n", + "epoch [ 900] L = 38.031606, acc = 0.850000\n", + "epoch [ 901] L = 38.029172, acc = 0.850000\n", + "epoch [ 902] L = 38.026723, acc = 0.850000\n", + "epoch [ 903] L = 38.024261, acc = 0.850000\n", + "epoch [ 904] L = 38.021784, acc = 0.850000\n", + "epoch [ 905] L = 38.019294, acc = 0.850000\n", + "epoch [ 906] L = 38.016788, acc = 0.850000\n", + "epoch [ 907] L = 38.014268, acc = 0.850000\n", + "epoch [ 908] L = 38.011734, acc = 0.850000\n", + "epoch [ 909] L = 38.009184, acc = 0.850000\n", + "epoch [ 910] L = 38.006620, acc = 0.850000\n", + "epoch [ 911] L = 38.004041, acc = 0.850000\n", + "epoch [ 912] L = 38.001447, acc = 0.850000\n", + "epoch [ 913] L = 37.998838, acc = 0.850000\n", + "epoch [ 914] L = 37.996213, acc = 0.850000\n", + "epoch [ 915] L = 37.993573, acc = 0.850000\n", + "epoch [ 916] L = 37.990918, acc = 0.850000\n", + "epoch [ 917] L = 37.988247, acc = 0.850000\n", + "epoch [ 918] L = 37.985560, acc = 0.850000\n", + "epoch [ 919] L = 37.982858, acc = 0.850000\n", + "epoch [ 920] L = 37.980139, acc = 0.855000\n", + "epoch [ 921] L = 37.977405, acc = 0.855000\n", + "epoch [ 922] L = 37.974654, acc = 0.855000\n", + "epoch [ 923] L = 37.971888, acc = 0.855000\n", + "epoch [ 924] L = 37.969105, acc = 0.855000\n", + "epoch [ 925] L = 37.966305, acc = 0.855000\n", + "epoch [ 926] L = 37.963489, acc = 0.855000\n", + "epoch [ 927] L = 37.960656, acc = 0.855000\n", + "epoch [ 928] L = 37.957807, acc = 0.855000\n", + "epoch [ 929] L = 37.954940, acc = 0.855000\n", + "epoch [ 930] L = 37.952057, acc = 0.855000\n", + "epoch [ 931] L = 37.949156, acc = 0.855000\n", + "epoch [ 932] L = 37.946238, acc = 0.855000\n", + "epoch [ 933] L = 37.943303, acc = 0.855000\n", + "epoch [ 934] L = 37.940350, acc = 0.855000\n", + "epoch [ 935] L = 37.937379, acc = 0.855000\n", + "epoch [ 936] L = 37.934391, acc = 0.855000\n", + "epoch [ 937] L = 37.931385, acc = 0.855000\n", + "epoch [ 938] L = 37.928361, acc = 0.855000\n", + "epoch [ 939] L = 37.925319, acc = 0.855000\n", + "epoch [ 940] L = 37.922259, acc = 0.855000\n", + "epoch [ 941] L = 37.919180, acc = 0.855000\n", + "epoch [ 942] L = 37.916083, acc = 0.855000\n", + "epoch [ 943] L = 37.912967, acc = 0.855000\n", + "epoch [ 944] L = 37.909832, acc = 0.855000\n", + "epoch [ 945] L = 37.906679, acc = 0.855000\n", + "epoch [ 946] L = 37.903507, acc = 0.855000\n", + "epoch [ 947] L = 37.900315, acc = 0.855000\n", + "epoch [ 948] L = 37.897105, acc = 0.855000\n", + "epoch [ 949] L = 37.893875, acc = 0.855000\n", + "epoch [ 950] L = 37.890625, acc = 0.855000\n", + "epoch [ 951] L = 37.887356, acc = 0.855000\n", + "epoch [ 952] L = 37.884067, acc = 0.855000\n", + "epoch [ 953] L = 37.880758, acc = 0.855000\n", + "epoch [ 954] L = 37.877430, acc = 0.855000\n", + "epoch [ 955] L = 37.874081, acc = 0.855000\n", + "epoch [ 956] L = 37.870712, acc = 0.855000\n", + "epoch [ 957] L = 37.867322, acc = 0.855000\n", + "epoch [ 958] L = 37.863912, acc = 0.855000\n", + "epoch [ 959] L = 37.860481, acc = 0.855000\n", + "epoch [ 960] L = 37.857029, acc = 0.855000\n", + "epoch [ 961] L = 37.853557, acc = 0.855000\n", + "epoch [ 962] L = 37.850063, acc = 0.855000\n", + "epoch [ 963] L = 37.846548, acc = 0.855000\n", + "epoch [ 964] L = 37.843011, acc = 0.855000\n", + "epoch [ 965] L = 37.839453, acc = 0.855000\n", + "epoch [ 966] L = 37.835874, acc = 0.855000\n", + "epoch [ 967] L = 37.832272, acc = 0.855000\n", + "epoch [ 968] L = 37.828649, acc = 0.855000\n", + "epoch [ 969] L = 37.825004, acc = 0.855000\n", + "epoch [ 970] L = 37.821336, acc = 0.855000\n", + "epoch [ 971] L = 37.817646, acc = 0.855000\n", + "epoch [ 972] L = 37.813933, acc = 0.855000\n", + "epoch [ 973] L = 37.810198, acc = 0.855000\n", + "epoch [ 974] L = 37.806440, acc = 0.855000\n", + "epoch [ 975] L = 37.802659, acc = 0.855000\n", + "epoch [ 976] L = 37.798855, acc = 0.855000\n", + "epoch [ 977] L = 37.795027, acc = 0.855000\n", + "epoch [ 978] L = 37.791176, acc = 0.855000\n", + "epoch [ 979] L = 37.787302, acc = 0.855000\n", + "epoch [ 980] L = 37.783404, acc = 0.855000\n", + "epoch [ 981] L = 37.779482, acc = 0.855000\n", + "epoch [ 982] L = 37.775535, acc = 0.855000\n", + "epoch [ 983] L = 37.771565, acc = 0.855000\n", + "epoch [ 984] L = 37.767571, acc = 0.855000\n", + "epoch [ 985] L = 37.763552, acc = 0.855000\n", + "epoch [ 986] L = 37.759508, acc = 0.855000\n", + "epoch [ 987] L = 37.755439, acc = 0.855000\n", + "epoch [ 988] L = 37.751346, acc = 0.855000\n", + "epoch [ 989] L = 37.747227, acc = 0.855000\n", + "epoch [ 990] L = 37.743083, acc = 0.855000\n", + "epoch [ 991] L = 37.738914, acc = 0.855000\n", + "epoch [ 992] L = 37.734719, acc = 0.855000\n", + "epoch [ 993] L = 37.730498, acc = 0.855000\n", + "epoch [ 994] L = 37.726251, acc = 0.855000\n", + "epoch [ 995] L = 37.721979, acc = 0.855000\n", + "epoch [ 996] L = 37.717680, acc = 0.855000\n", + "epoch [ 997] L = 37.713354, acc = 0.855000\n", + "epoch [ 998] L = 37.709003, acc = 0.855000\n", + "epoch [ 999] L = 37.704624, acc = 0.855000\n", + "epoch [1000] L = 37.700218, acc = 0.855000\n", + "epoch [1001] L = 37.695786, acc = 0.855000\n", + "epoch [1002] L = 37.691326, acc = 0.855000\n", + "epoch [1003] L = 37.686838, acc = 0.855000\n", + "epoch [1004] L = 37.682324, acc = 0.855000\n", + "epoch [1005] L = 37.677781, acc = 0.855000\n", + "epoch [1006] L = 37.673211, acc = 0.855000\n", + "epoch [1007] L = 37.668612, acc = 0.855000\n", + "epoch [1008] L = 37.663985, acc = 0.855000\n", + "epoch [1009] L = 37.659330, acc = 0.855000\n", + "epoch [1010] L = 37.654646, acc = 0.855000\n", + "epoch [1011] L = 37.649933, acc = 0.855000\n", + "epoch [1012] L = 37.645192, acc = 0.855000\n", + "epoch [1013] L = 37.640421, acc = 0.855000\n", + "epoch [1014] L = 37.635621, acc = 0.855000\n", + "epoch [1015] L = 37.630792, acc = 0.855000\n", + "epoch [1016] L = 37.625933, acc = 0.855000\n", + "epoch [1017] L = 37.621044, acc = 0.855000\n", + "epoch [1018] L = 37.616125, acc = 0.855000\n", + "epoch [1019] L = 37.611176, acc = 0.855000\n", + "epoch [1020] L = 37.606197, acc = 0.855000\n", + "epoch [1021] L = 37.601187, acc = 0.855000\n", + "epoch [1022] L = 37.596146, acc = 0.855000\n", + "epoch [1023] L = 37.591075, acc = 0.855000\n", + "epoch [1024] L = 37.585972, acc = 0.855000\n", + "epoch [1025] L = 37.580839, acc = 0.855000\n", + "epoch [1026] L = 37.575674, acc = 0.855000\n", + "epoch [1027] L = 37.570477, acc = 0.855000\n", + "epoch [1028] L = 37.565248, acc = 0.855000\n", + "epoch [1029] L = 37.559988, acc = 0.855000\n", + "epoch [1030] L = 37.554695, acc = 0.855000\n", + "epoch [1031] L = 37.549370, acc = 0.855000\n", + "epoch [1032] L = 37.544013, acc = 0.855000\n", + "epoch [1033] L = 37.538622, acc = 0.855000\n", + "epoch [1034] L = 37.533199, acc = 0.855000\n", + "epoch [1035] L = 37.527743, acc = 0.855000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch [1388] L = 26.948352, acc = 0.920000\n", - "epoch [1389] L = 26.929880, acc = 0.920000\n", - "epoch [1390] L = 26.911427, acc = 0.920000\n", - "epoch [1391] L = 26.892995, acc = 0.920000\n", - "epoch [1392] L = 26.874582, acc = 0.920000\n", - "epoch [1393] L = 26.856190, acc = 0.920000\n", - "epoch [1394] L = 26.837818, acc = 0.920000\n", - "epoch [1395] L = 26.819466, acc = 0.920000\n", - "epoch [1396] L = 26.801134, acc = 0.920000\n", - "epoch [1397] L = 26.782823, acc = 0.920000\n", - "epoch [1398] L = 26.764531, acc = 0.920000\n", - "epoch [1399] L = 26.746260, acc = 0.925000\n", - "epoch [1400] L = 26.728010, acc = 0.925000\n", - "epoch [1401] L = 26.709779, acc = 0.925000\n", - "epoch [1402] L = 26.691569, acc = 0.925000\n", - "epoch [1403] L = 26.673380, acc = 0.925000\n", - "epoch [1404] L = 26.655211, acc = 0.925000\n", - "epoch [1405] L = 26.637063, acc = 0.925000\n", - "epoch [1406] L = 26.618935, acc = 0.925000\n", - "epoch [1407] L = 26.600828, acc = 0.925000\n", - "epoch [1408] L = 26.582741, acc = 0.925000\n", - "epoch [1409] L = 26.564675, acc = 0.925000\n", - "epoch [1410] L = 26.546630, acc = 0.925000\n", - "epoch [1411] L = 26.528606, acc = 0.925000\n", - "epoch [1412] L = 26.510602, acc = 0.925000\n", - "epoch [1413] L = 26.492619, acc = 0.925000\n", - "epoch [1414] L = 26.474657, acc = 0.925000\n", - "epoch [1415] L = 26.456716, acc = 0.925000\n", - "epoch [1416] L = 26.438796, acc = 0.925000\n", - "epoch [1417] L = 26.420897, acc = 0.925000\n", - "epoch [1418] L = 26.403018, acc = 0.925000\n", - "epoch [1419] L = 26.385161, acc = 0.925000\n", - "epoch [1420] L = 26.367325, acc = 0.925000\n", - "epoch [1421] L = 26.349510, acc = 0.925000\n", - "epoch [1422] L = 26.331715, acc = 0.925000\n", - "epoch [1423] L = 26.313942, acc = 0.925000\n", - "epoch [1424] L = 26.296191, acc = 0.930000\n", - "epoch [1425] L = 26.278460, acc = 0.930000\n", - "epoch [1426] L = 26.260750, acc = 0.930000\n", - "epoch [1427] L = 26.243062, acc = 0.930000\n", - "epoch [1428] L = 26.225395, acc = 0.930000\n", - "epoch [1429] L = 26.207749, acc = 0.930000\n", - "epoch [1430] L = 26.190125, acc = 0.930000\n", - "epoch [1431] L = 26.172522, acc = 0.930000\n", - "epoch [1432] L = 26.154940, acc = 0.930000\n", - "epoch [1433] L = 26.137379, acc = 0.930000\n", - "epoch [1434] L = 26.119840, acc = 0.930000\n", - "epoch [1435] L = 26.102323, acc = 0.930000\n", - "epoch [1436] L = 26.084826, acc = 0.930000\n", - "epoch [1437] L = 26.067352, acc = 0.930000\n", - "epoch [1438] L = 26.049898, acc = 0.930000\n", - "epoch [1439] L = 26.032467, acc = 0.930000\n", - "epoch [1440] L = 26.015056, acc = 0.930000\n", - "epoch [1441] L = 25.997668, acc = 0.930000\n", - "epoch [1442] L = 25.980301, acc = 0.930000\n", - "epoch [1443] L = 25.962955, acc = 0.930000\n", - "epoch [1444] L = 25.945631, acc = 0.930000\n", - "epoch [1445] L = 25.928329, acc = 0.930000\n", - "epoch [1446] L = 25.911048, acc = 0.930000\n", - "epoch [1447] L = 25.893789, acc = 0.930000\n", - "epoch [1448] L = 25.876552, acc = 0.930000\n", - "epoch [1449] L = 25.859336, acc = 0.930000\n", - "epoch [1450] L = 25.842142, acc = 0.930000\n", - "epoch [1451] L = 25.824970, acc = 0.930000\n", - "epoch [1452] L = 25.807820, acc = 0.930000\n", - "epoch [1453] L = 25.790691, acc = 0.930000\n", - "epoch [1454] L = 25.773584, acc = 0.930000\n", - "epoch [1455] L = 25.756499, acc = 0.930000\n", - "epoch [1456] L = 25.739436, acc = 0.930000\n", - "epoch [1457] L = 25.722394, acc = 0.930000\n", - "epoch [1458] L = 25.705374, acc = 0.930000\n", - "epoch [1459] L = 25.688377, acc = 0.930000\n", - "epoch [1460] L = 25.671401, acc = 0.930000\n", - "epoch [1461] L = 25.654447, acc = 0.930000\n", - "epoch [1462] L = 25.637514, acc = 0.930000\n", - "epoch [1463] L = 25.620604, acc = 0.930000\n", - "epoch [1464] L = 25.603716, acc = 0.930000\n", - "epoch [1465] L = 25.586849, acc = 0.930000\n", - "epoch [1466] L = 25.570004, acc = 0.930000\n", - "epoch [1467] L = 25.553182, acc = 0.930000\n", - "epoch [1468] L = 25.536381, acc = 0.930000\n", - "epoch [1469] L = 25.519602, acc = 0.930000\n", - "epoch [1470] L = 25.502846, acc = 0.930000\n", - "epoch [1471] L = 25.486111, acc = 0.930000\n", - "epoch [1472] L = 25.469398, acc = 0.930000\n", - "epoch [1473] L = 25.452707, acc = 0.930000\n", - "epoch [1474] L = 25.436038, acc = 0.930000\n", - "epoch [1475] L = 25.419391, acc = 0.930000\n", - "epoch [1476] L = 25.402767, acc = 0.930000\n", - "epoch [1477] L = 25.386164, acc = 0.930000\n", - "epoch [1478] L = 25.369583, acc = 0.930000\n", - "epoch [1479] L = 25.353024, acc = 0.930000\n", - "epoch [1480] L = 25.336488, acc = 0.930000\n", - "epoch [1481] L = 25.319973, acc = 0.930000\n", - "epoch [1482] L = 25.303480, acc = 0.930000\n", - "epoch [1483] L = 25.287010, acc = 0.930000\n", - "epoch [1484] L = 25.270561, acc = 0.930000\n", - "epoch [1485] L = 25.254135, acc = 0.930000\n", - "epoch [1486] L = 25.237731, acc = 0.930000\n", - "epoch [1487] L = 25.221348, acc = 0.930000\n", - "epoch [1488] L = 25.204988, acc = 0.930000\n", - "epoch [1489] L = 25.188650, acc = 0.930000\n", - "epoch [1490] L = 25.172334, acc = 0.930000\n", - "epoch [1491] L = 25.156040, acc = 0.930000\n", - "epoch [1492] L = 25.139768, acc = 0.930000\n", - "epoch [1493] L = 25.123518, acc = 0.930000\n", - "epoch [1494] L = 25.107291, acc = 0.930000\n", - "epoch [1495] L = 25.091085, acc = 0.930000\n", - "epoch [1496] L = 25.074901, acc = 0.930000\n", - "epoch [1497] L = 25.058740, acc = 0.930000\n", - "epoch [1498] L = 25.042601, acc = 0.930000\n", - "epoch [1499] L = 25.026483, acc = 0.930000\n", - "epoch [1500] L = 25.010388, acc = 0.930000\n", - "epoch [1501] L = 24.994315, acc = 0.930000\n", - "epoch [1502] L = 24.978264, acc = 0.930000\n", - "epoch [1503] L = 24.962235, acc = 0.930000\n", - "epoch [1504] L = 24.946228, acc = 0.930000\n", - "epoch [1505] L = 24.930243, acc = 0.930000\n", - "epoch [1506] L = 24.914280, acc = 0.930000\n", - "epoch [1507] L = 24.898340, acc = 0.930000\n", - "epoch [1508] L = 24.882421, acc = 0.930000\n", - "epoch [1509] L = 24.866525, acc = 0.930000\n", - "epoch [1510] L = 24.850650, acc = 0.930000\n", - "epoch [1511] L = 24.834798, acc = 0.930000\n", - "epoch [1512] L = 24.818968, acc = 0.930000\n", - "epoch [1513] L = 24.803159, acc = 0.930000\n", - "epoch [1514] L = 24.787373, acc = 0.930000\n", - "epoch [1515] L = 24.771609, acc = 0.930000\n", - "epoch [1516] L = 24.755867, acc = 0.930000\n", - "epoch [1517] L = 24.740146, acc = 0.930000\n", - "epoch [1518] L = 24.724448, acc = 0.930000\n", - "epoch [1519] L = 24.708772, acc = 0.930000\n", - "epoch [1520] L = 24.693118, acc = 0.930000\n", - "epoch [1521] L = 24.677486, acc = 0.930000\n", - "epoch [1522] L = 24.661876, acc = 0.930000\n", - "epoch [1523] L = 24.646288, acc = 0.930000\n", - "epoch [1524] L = 24.630722, acc = 0.930000\n", - "epoch [1525] L = 24.615177, acc = 0.930000\n", - "epoch [1526] L = 24.599655, acc = 0.930000\n", - "epoch [1527] L = 24.584155, acc = 0.930000\n", - "epoch [1528] L = 24.568677, acc = 0.930000\n", - "epoch [1529] L = 24.553220, acc = 0.930000\n", - "epoch [1530] L = 24.537786, acc = 0.930000\n", - "epoch [1531] L = 24.522374, acc = 0.930000\n", - "epoch [1532] L = 24.506983, acc = 0.930000\n", - "epoch [1533] L = 24.491614, acc = 0.930000\n", - "epoch [1534] L = 24.476267, acc = 0.930000\n", - "epoch [1535] L = 24.460943, acc = 0.930000\n", - "epoch [1536] L = 24.445640, acc = 0.930000\n", - "epoch [1537] L = 24.430358, acc = 0.930000\n", - "epoch [1538] L = 24.415099, acc = 0.930000\n", - "epoch [1539] L = 24.399862, acc = 0.930000\n", - "epoch [1540] L = 24.384646, acc = 0.930000\n", - "epoch [1541] L = 24.369452, acc = 0.930000\n", - "epoch [1542] L = 24.354280, acc = 0.930000\n", - "epoch [1543] L = 24.339130, acc = 0.930000\n", - "epoch [1544] L = 24.324001, acc = 0.930000\n", - "epoch [1545] L = 24.308895, acc = 0.930000\n", - "epoch [1546] L = 24.293810, acc = 0.930000\n", - "epoch [1547] L = 24.278747, acc = 0.930000\n", - "epoch [1548] L = 24.263705, acc = 0.930000\n", - "epoch [1549] L = 24.248685, acc = 0.930000\n", - "epoch [1550] L = 24.233687, acc = 0.930000\n", - "epoch [1551] L = 24.218711, acc = 0.930000\n", - "epoch [1552] L = 24.203756, acc = 0.930000\n", - "epoch [1553] L = 24.188823, acc = 0.930000\n", - "epoch [1554] L = 24.173912, acc = 0.930000\n", - "epoch [1555] L = 24.159022, acc = 0.930000\n", - "epoch [1556] L = 24.144154, acc = 0.930000\n", - "epoch [1557] L = 24.129307, acc = 0.930000\n", - "epoch [1558] L = 24.114482, acc = 0.935000\n", - "epoch [1559] L = 24.099679, acc = 0.935000\n", - "epoch [1560] L = 24.084897, acc = 0.935000\n", - "epoch [1561] L = 24.070137, acc = 0.935000\n", - "epoch [1562] L = 24.055398, acc = 0.935000\n", - "epoch [1563] L = 24.040681, acc = 0.935000\n", - "epoch [1564] L = 24.025985, acc = 0.935000\n", - "epoch [1565] L = 24.011310, acc = 0.935000\n", - "epoch [1566] L = 23.996657, acc = 0.935000\n", - "epoch [1567] L = 23.982026, acc = 0.935000\n", - "epoch [1568] L = 23.967416, acc = 0.935000\n", - "epoch [1569] L = 23.952827, acc = 0.935000\n", - "epoch [1570] L = 23.938260, acc = 0.935000\n", - "epoch [1571] L = 23.923714, acc = 0.935000\n", - "epoch [1572] L = 23.909189, acc = 0.935000\n", - "epoch [1573] L = 23.894686, acc = 0.935000\n", - "epoch [1574] L = 23.880204, acc = 0.935000\n", - "epoch [1575] L = 23.865744, acc = 0.935000\n", - "epoch [1576] L = 23.851304, acc = 0.935000\n", - "epoch [1577] L = 23.836886, acc = 0.935000\n", - "epoch [1578] L = 23.822489, acc = 0.935000\n", - "epoch [1579] L = 23.808113, acc = 0.935000\n", - "epoch [1580] L = 23.793759, acc = 0.935000\n", - "epoch [1581] L = 23.779426, acc = 0.935000\n", - "epoch [1582] L = 23.765113, acc = 0.935000\n", - "epoch [1583] L = 23.750822, acc = 0.935000\n", - "epoch [1584] L = 23.736552, acc = 0.935000\n", - "epoch [1585] L = 23.722303, acc = 0.935000\n", - "epoch [1586] L = 23.708076, acc = 0.935000\n", - "epoch [1587] L = 23.693869, acc = 0.935000\n", - "epoch [1588] L = 23.679683, acc = 0.940000\n", - "epoch [1589] L = 23.665518, acc = 0.940000\n", - "epoch [1590] L = 23.651375, acc = 0.940000\n", - "epoch [1591] L = 23.637252, acc = 0.940000\n", - "epoch [1592] L = 23.623150, acc = 0.940000\n", - "epoch [1593] L = 23.609069, acc = 0.940000\n", - "epoch [1594] L = 23.595009, acc = 0.940000\n", - "epoch [1595] L = 23.580970, acc = 0.940000\n", - "epoch [1596] L = 23.566952, acc = 0.940000\n", - "epoch [1597] L = 23.552954, acc = 0.940000\n", - "epoch [1598] L = 23.538978, acc = 0.940000\n", - "epoch [1599] L = 23.525022, acc = 0.940000\n", - "epoch [1600] L = 23.511087, acc = 0.940000\n", - "epoch [1601] L = 23.497172, acc = 0.940000\n", - "epoch [1602] L = 23.483278, acc = 0.940000\n", - "epoch [1603] L = 23.469406, acc = 0.940000\n", - "epoch [1604] L = 23.455553, acc = 0.940000\n", - "epoch [1605] L = 23.441722, acc = 0.940000\n", - "epoch [1606] L = 23.427910, acc = 0.940000\n", - "epoch [1607] L = 23.414120, acc = 0.940000\n", - "epoch [1608] L = 23.400350, acc = 0.940000\n", - "epoch [1609] L = 23.386601, acc = 0.940000\n", - "epoch [1610] L = 23.372872, acc = 0.940000\n", - "epoch [1611] L = 23.359164, acc = 0.940000\n", - "epoch [1612] L = 23.345476, acc = 0.940000\n", - "epoch [1613] L = 23.331808, acc = 0.940000\n", - "epoch [1614] L = 23.318161, acc = 0.940000\n", - "epoch [1615] L = 23.304535, acc = 0.940000\n", - "epoch [1616] L = 23.290929, acc = 0.940000\n", - "epoch [1617] L = 23.277343, acc = 0.940000\n", - "epoch [1618] L = 23.263777, acc = 0.940000\n", - "epoch [1619] L = 23.250232, acc = 0.940000\n", - "epoch [1620] L = 23.236707, acc = 0.940000\n", - "epoch [1621] L = 23.223202, acc = 0.940000\n", - "epoch [1622] L = 23.209718, acc = 0.940000\n", - "epoch [1623] L = 23.196254, acc = 0.940000\n", - "epoch [1624] L = 23.182809, acc = 0.940000\n", - "epoch [1625] L = 23.169385, acc = 0.940000\n", - "epoch [1626] L = 23.155982, acc = 0.940000\n", - "epoch [1627] L = 23.142598, acc = 0.940000\n", - "epoch [1628] L = 23.129234, acc = 0.940000\n", - "epoch [1629] L = 23.115890, acc = 0.940000\n", - "epoch [1630] L = 23.102567, acc = 0.940000\n", - "epoch [1631] L = 23.089263, acc = 0.940000\n", - "epoch [1632] L = 23.075979, acc = 0.940000\n", - "epoch [1633] L = 23.062715, acc = 0.940000\n", - "epoch [1634] L = 23.049471, acc = 0.940000\n", - "epoch [1635] L = 23.036247, acc = 0.940000\n", - "epoch [1636] L = 23.023043, acc = 0.940000\n", - "epoch [1637] L = 23.009859, acc = 0.940000\n", - "epoch [1638] L = 22.996694, acc = 0.940000\n", - "epoch [1639] L = 22.983549, acc = 0.940000\n", - "epoch [1640] L = 22.970424, acc = 0.940000\n", - "epoch [1641] L = 22.957319, acc = 0.940000\n", - "epoch [1642] L = 22.944233, acc = 0.940000\n", - "epoch [1643] L = 22.931167, acc = 0.940000\n", - "epoch [1644] L = 22.918120, acc = 0.940000\n", - "epoch [1645] L = 22.905093, acc = 0.940000\n", - "epoch [1646] L = 22.892086, acc = 0.940000\n", - "epoch [1647] L = 22.879098, acc = 0.940000\n", - "epoch [1648] L = 22.866130, acc = 0.940000\n", - "epoch [1649] L = 22.853181, acc = 0.940000\n", - "epoch [1650] L = 22.840252, acc = 0.940000\n", - "epoch [1651] L = 22.827342, acc = 0.940000\n", - "epoch [1652] L = 22.814451, acc = 0.940000\n", - "epoch [1653] L = 22.801580, acc = 0.940000\n", - "epoch [1654] L = 22.788728, acc = 0.940000\n", - "epoch [1655] L = 22.775895, acc = 0.940000\n", - "epoch [1656] L = 22.763082, acc = 0.940000\n", - "epoch [1657] L = 22.750288, acc = 0.940000\n", - "epoch [1658] L = 22.737513, acc = 0.940000\n", - "epoch [1659] L = 22.724758, acc = 0.940000\n", - "epoch [1660] L = 22.712021, acc = 0.940000\n", - "epoch [1661] L = 22.699304, acc = 0.940000\n", - "epoch [1662] L = 22.686605, acc = 0.940000\n", - "epoch [1663] L = 22.673926, acc = 0.940000\n", - "epoch [1664] L = 22.661266, acc = 0.940000\n", - "epoch [1665] L = 22.648625, acc = 0.940000\n", - "epoch [1666] L = 22.636003, acc = 0.940000\n", - "epoch [1667] L = 22.623399, acc = 0.940000\n", - "epoch [1668] L = 22.610815, acc = 0.940000\n", - "epoch [1669] L = 22.598249, acc = 0.940000\n", - "epoch [1670] L = 22.585703, acc = 0.940000\n", - "epoch [1671] L = 22.573175, acc = 0.940000\n", - "epoch [1672] L = 22.560666, acc = 0.940000\n", - "epoch [1673] L = 22.548176, acc = 0.940000\n", - "epoch [1674] L = 22.535704, acc = 0.940000\n", - "epoch [1675] L = 22.523251, acc = 0.940000\n", - "epoch [1676] L = 22.510817, acc = 0.940000\n", - "epoch [1677] L = 22.498402, acc = 0.940000\n", - "epoch [1678] L = 22.486005, acc = 0.940000\n", - "epoch [1679] L = 22.473626, acc = 0.940000\n", - "epoch [1680] L = 22.461267, acc = 0.940000\n", - "epoch [1681] L = 22.448925, acc = 0.940000\n", - "epoch [1682] L = 22.436602, acc = 0.940000\n", - "epoch [1683] L = 22.424298, acc = 0.940000\n", - "epoch [1684] L = 22.412012, acc = 0.940000\n", - "epoch [1685] L = 22.399745, acc = 0.940000\n", - "epoch [1686] L = 22.387495, acc = 0.940000\n", - "epoch [1687] L = 22.375264, acc = 0.940000\n", - "epoch [1688] L = 22.363052, acc = 0.940000\n", - "epoch [1689] L = 22.350858, acc = 0.940000\n", - "epoch [1690] L = 22.338681, acc = 0.940000\n", - "epoch [1691] L = 22.326524, acc = 0.940000\n", - "epoch [1692] L = 22.314384, acc = 0.940000\n", - "epoch [1693] L = 22.302262, acc = 0.940000\n", - "epoch [1694] L = 22.290159, acc = 0.940000\n", - "epoch [1695] L = 22.278073, acc = 0.940000\n", - "epoch [1696] L = 22.266006, acc = 0.940000\n", - "epoch [1697] L = 22.253956, acc = 0.940000\n", - "epoch [1698] L = 22.241925, acc = 0.940000\n", - "epoch [1699] L = 22.229911, acc = 0.940000\n", - "epoch [1700] L = 22.217916, acc = 0.940000\n", - "epoch [1701] L = 22.205938, acc = 0.940000\n", - "epoch [1702] L = 22.193978, acc = 0.940000\n", - "epoch [1703] L = 22.182036, acc = 0.940000\n", - "epoch [1704] L = 22.170112, acc = 0.940000\n", - "epoch [1705] L = 22.158205, acc = 0.940000\n", - "epoch [1706] L = 22.146317, acc = 0.940000\n", - "epoch [1707] L = 22.134446, acc = 0.940000\n", - "epoch [1708] L = 22.122592, acc = 0.940000\n", - "epoch [1709] L = 22.110756, acc = 0.940000\n", - "epoch [1710] L = 22.098938, acc = 0.940000\n", - "epoch [1711] L = 22.087137, acc = 0.940000\n", - "epoch [1712] L = 22.075354, acc = 0.940000\n", - "epoch [1713] L = 22.063588, acc = 0.940000\n", - "epoch [1714] L = 22.051840, acc = 0.940000\n", - "epoch [1715] L = 22.040109, acc = 0.940000\n", - "epoch [1716] L = 22.028396, acc = 0.940000\n", - "epoch [1717] L = 22.016700, acc = 0.940000\n", - "epoch [1718] L = 22.005021, acc = 0.940000\n", - "epoch [1719] L = 21.993359, acc = 0.940000\n", - "epoch [1720] L = 21.981715, acc = 0.940000\n", - "epoch [1721] L = 21.970088, acc = 0.940000\n", - "epoch [1722] L = 21.958478, acc = 0.940000\n", - "epoch [1723] L = 21.946886, acc = 0.940000\n", - "epoch [1724] L = 21.935310, acc = 0.940000\n", - "epoch [1725] L = 21.923752, acc = 0.940000\n", - "epoch [1726] L = 21.912210, acc = 0.945000\n", - "epoch [1727] L = 21.900686, acc = 0.945000\n", - "epoch [1728] L = 21.889178, acc = 0.945000\n", - "epoch [1729] L = 21.877688, acc = 0.945000\n", - "epoch [1730] L = 21.866215, acc = 0.945000\n", - "epoch [1731] L = 21.854758, acc = 0.945000\n", - "epoch [1732] L = 21.843318, acc = 0.945000\n", - "epoch [1733] L = 21.831895, acc = 0.945000\n", - "epoch [1734] L = 21.820489, acc = 0.945000\n", - "epoch [1735] L = 21.809100, acc = 0.945000\n", - "epoch [1736] L = 21.797727, acc = 0.945000\n", - "epoch [1737] L = 21.786371, acc = 0.945000\n", - "epoch [1738] L = 21.775032, acc = 0.945000\n", - "epoch [1739] L = 21.763709, acc = 0.945000\n", - "epoch [1740] L = 21.752403, acc = 0.945000\n", - "epoch [1741] L = 21.741114, acc = 0.945000\n", - "epoch [1742] L = 21.729841, acc = 0.945000\n", - "epoch [1743] L = 21.718584, acc = 0.945000\n", - "epoch [1744] L = 21.707344, acc = 0.945000\n", - "epoch [1745] L = 21.696120, acc = 0.945000\n", - "epoch [1746] L = 21.684913, acc = 0.945000\n", - "epoch [1747] L = 21.673722, acc = 0.945000\n", - "epoch [1748] L = 21.662548, acc = 0.945000\n", - "epoch [1749] L = 21.651390, acc = 0.945000\n", - "epoch [1750] L = 21.640248, acc = 0.945000\n", - "epoch [1751] L = 21.629122, acc = 0.945000\n", - "epoch [1752] L = 21.618012, acc = 0.945000\n", - "epoch [1753] L = 21.606919, acc = 0.945000\n", - "epoch [1754] L = 21.595841, acc = 0.945000\n", - "epoch [1755] L = 21.584780, acc = 0.945000\n", - "epoch [1756] L = 21.573735, acc = 0.945000\n", - "epoch [1757] L = 21.562706, acc = 0.945000\n", - "epoch [1758] L = 21.551693, acc = 0.945000\n", - "epoch [1759] L = 21.540695, acc = 0.945000\n", - "epoch [1760] L = 21.529714, acc = 0.945000\n", - "epoch [1761] L = 21.518749, acc = 0.945000\n", - "epoch [1762] L = 21.507799, acc = 0.945000\n", - "epoch [1763] L = 21.496865, acc = 0.945000\n", - "epoch [1764] L = 21.485947, acc = 0.945000\n", - "epoch [1765] L = 21.475045, acc = 0.945000\n", - "epoch [1766] L = 21.464159, acc = 0.945000\n", - "epoch [1767] L = 21.453288, acc = 0.945000\n", - "epoch [1768] L = 21.442433, acc = 0.945000\n", - "epoch [1769] L = 21.431593, acc = 0.945000\n", - "epoch [1770] L = 21.420769, acc = 0.945000\n", - "epoch [1771] L = 21.409961, acc = 0.945000\n", - "epoch [1772] L = 21.399168, acc = 0.945000\n", - "epoch [1773] L = 21.388391, acc = 0.945000\n", - "epoch [1774] L = 21.377629, acc = 0.945000\n", - "epoch [1775] L = 21.366882, acc = 0.945000\n", - "epoch [1776] L = 21.356151, acc = 0.945000\n", - "epoch [1777] L = 21.345435, acc = 0.945000\n", - "epoch [1778] L = 21.334735, acc = 0.945000\n", - "epoch [1779] L = 21.324049, acc = 0.945000\n", - "epoch [1780] L = 21.313379, acc = 0.945000\n", - "epoch [1781] L = 21.302725, acc = 0.945000\n", - "epoch [1782] L = 21.292085, acc = 0.945000\n", - "epoch [1783] L = 21.281460, acc = 0.945000\n", - "epoch [1784] L = 21.270851, acc = 0.945000\n", - "epoch [1785] L = 21.260257, acc = 0.945000\n", - "epoch [1786] L = 21.249678, acc = 0.945000\n", - "epoch [1787] L = 21.239113, acc = 0.945000\n", - "epoch [1788] L = 21.228564, acc = 0.945000\n", - "epoch [1789] L = 21.218030, acc = 0.945000\n", - "epoch [1790] L = 21.207510, acc = 0.945000\n", - "epoch [1791] L = 21.197006, acc = 0.945000\n", - "epoch [1792] L = 21.186516, acc = 0.945000\n", - "epoch [1793] L = 21.176041, acc = 0.945000\n", - "epoch [1794] L = 21.165581, acc = 0.945000\n", - "epoch [1795] L = 21.155136, acc = 0.945000\n", - "epoch [1796] L = 21.144705, acc = 0.945000\n", - "epoch [1797] L = 21.134289, acc = 0.945000\n", - "epoch [1798] L = 21.123888, acc = 0.945000\n", - "epoch [1799] L = 21.113501, acc = 0.945000\n", - "epoch [1800] L = 21.103129, acc = 0.945000\n", - "epoch [1801] L = 21.092771, acc = 0.945000\n", - "epoch [1802] L = 21.082428, acc = 0.945000\n", - "epoch [1803] L = 21.072099, acc = 0.945000\n", - "epoch [1804] L = 21.061785, acc = 0.945000\n", - "epoch [1805] L = 21.051485, acc = 0.945000\n", - "epoch [1806] L = 21.041199, acc = 0.945000\n", - "epoch [1807] L = 21.030928, acc = 0.945000\n", - "epoch [1808] L = 21.020671, acc = 0.945000\n", - "epoch [1809] L = 21.010429, acc = 0.945000\n", - "epoch [1810] L = 21.000200, acc = 0.945000\n", - "epoch [1811] L = 20.989986, acc = 0.945000\n", - "epoch [1812] L = 20.979786, acc = 0.945000\n", - "epoch [1813] L = 20.969600, acc = 0.945000\n", - "epoch [1814] L = 20.959428, acc = 0.945000\n", - "epoch [1815] L = 20.949270, acc = 0.945000\n", - "epoch [1816] L = 20.939127, acc = 0.945000\n", - "epoch [1817] L = 20.928997, acc = 0.945000\n", - "epoch [1818] L = 20.918881, acc = 0.945000\n", - "epoch [1819] L = 20.908779, acc = 0.945000\n", - "epoch [1820] L = 20.898691, acc = 0.945000\n", - "epoch [1821] L = 20.888617, acc = 0.945000\n", - "epoch [1822] L = 20.878557, acc = 0.945000\n", - "epoch [1823] L = 20.868510, acc = 0.945000\n", - "epoch [1824] L = 20.858478, acc = 0.945000\n", - "epoch [1825] L = 20.848459, acc = 0.945000\n", - "epoch [1826] L = 20.838453, acc = 0.945000\n", - "epoch [1827] L = 20.828462, acc = 0.945000\n", - "epoch [1828] L = 20.818484, acc = 0.945000\n", - "epoch [1829] L = 20.808519, acc = 0.945000\n", - "epoch [1830] L = 20.798568, acc = 0.945000\n", - "epoch [1831] L = 20.788631, acc = 0.945000\n", - "epoch [1832] L = 20.778707, acc = 0.945000\n", - "epoch [1833] L = 20.768797, acc = 0.945000\n", - "epoch [1834] L = 20.758900, acc = 0.945000\n", - "epoch [1835] L = 20.749016, acc = 0.945000\n", - "epoch [1836] L = 20.739146, acc = 0.945000\n", - "epoch [1837] L = 20.729289, acc = 0.945000\n", - "epoch [1838] L = 20.719446, acc = 0.945000\n", - "epoch [1839] L = 20.709615, acc = 0.945000\n", - "epoch [1840] L = 20.699798, acc = 0.945000\n", - "epoch [1841] L = 20.689994, acc = 0.945000\n" + "epoch [1036] L = 37.522254, acc = 0.855000\n", + "epoch [1037] L = 37.516731, acc = 0.855000\n", + "epoch [1038] L = 37.511175, acc = 0.855000\n", + "epoch [1039] L = 37.505584, acc = 0.855000\n", + "epoch [1040] L = 37.499960, acc = 0.855000\n", + "epoch [1041] L = 37.494302, acc = 0.855000\n", + "epoch [1042] L = 37.488609, acc = 0.855000\n", + "epoch [1043] L = 37.482882, acc = 0.855000\n", + "epoch [1044] L = 37.477119, acc = 0.855000\n", + "epoch [1045] L = 37.471322, acc = 0.855000\n", + "epoch [1046] L = 37.465490, acc = 0.860000\n", + "epoch [1047] L = 37.459623, acc = 0.860000\n", + "epoch [1048] L = 37.453720, acc = 0.860000\n", + "epoch [1049] L = 37.447781, acc = 0.860000\n", + "epoch [1050] L = 37.441806, acc = 0.860000\n", + "epoch [1051] L = 37.435796, acc = 0.860000\n", + "epoch [1052] L = 37.429749, acc = 0.865000\n", + "epoch [1053] L = 37.423665, acc = 0.865000\n", + "epoch [1054] L = 37.417545, acc = 0.865000\n", + "epoch [1055] L = 37.411389, acc = 0.865000\n", + "epoch [1056] L = 37.405195, acc = 0.865000\n", + "epoch [1057] L = 37.398964, acc = 0.865000\n", + "epoch [1058] L = 37.392695, acc = 0.865000\n", + "epoch [1059] L = 37.386389, acc = 0.865000\n", + "epoch [1060] L = 37.380045, acc = 0.865000\n", + "epoch [1061] L = 37.373663, acc = 0.865000\n", + "epoch [1062] L = 37.367243, acc = 0.865000\n", + "epoch [1063] L = 37.360785, acc = 0.865000\n", + "epoch [1064] L = 37.354288, acc = 0.865000\n", + "epoch [1065] L = 37.347752, acc = 0.865000\n", + "epoch [1066] L = 37.341177, acc = 0.865000\n", + "epoch [1067] L = 37.334563, acc = 0.865000\n", + "epoch [1068] L = 37.327910, acc = 0.865000\n", + "epoch [1069] L = 37.321217, acc = 0.865000\n", + "epoch [1070] L = 37.314485, acc = 0.865000\n", + "epoch [1071] L = 37.307713, acc = 0.865000\n", + "epoch [1072] L = 37.300900, acc = 0.865000\n", + "epoch [1073] L = 37.294047, acc = 0.865000\n", + "epoch [1074] L = 37.287154, acc = 0.865000\n", + "epoch [1075] L = 37.280220, acc = 0.865000\n", + "epoch [1076] L = 37.273245, acc = 0.865000\n", + "epoch [1077] L = 37.266229, acc = 0.865000\n", + "epoch [1078] L = 37.259172, acc = 0.865000\n", + "epoch [1079] L = 37.252074, acc = 0.865000\n", + "epoch [1080] L = 37.244934, acc = 0.865000\n", + "epoch [1081] L = 37.237752, acc = 0.865000\n", + "epoch [1082] L = 37.230527, acc = 0.865000\n", + "epoch [1083] L = 37.223261, acc = 0.865000\n", + "epoch [1084] L = 37.215953, acc = 0.865000\n", + "epoch [1085] L = 37.208601, acc = 0.865000\n", + "epoch [1086] L = 37.201207, acc = 0.865000\n", + "epoch [1087] L = 37.193770, acc = 0.865000\n", + "epoch [1088] L = 37.186290, acc = 0.865000\n", + "epoch [1089] L = 37.178767, acc = 0.865000\n", + "epoch [1090] L = 37.171199, acc = 0.865000\n", + "epoch [1091] L = 37.163589, acc = 0.865000\n", + "epoch [1092] L = 37.155934, acc = 0.865000\n", + "epoch [1093] L = 37.148235, acc = 0.865000\n", + "epoch [1094] L = 37.140492, acc = 0.865000\n", + "epoch [1095] L = 37.132704, acc = 0.865000\n", + "epoch [1096] L = 37.124872, acc = 0.865000\n", + "epoch [1097] L = 37.116995, acc = 0.865000\n", + "epoch [1098] L = 37.109073, acc = 0.865000\n", + "epoch [1099] L = 37.101106, acc = 0.865000\n", + "epoch [1100] L = 37.093093, acc = 0.865000\n", + "epoch [1101] L = 37.085035, acc = 0.865000\n", + "epoch [1102] L = 37.076931, acc = 0.865000\n", + "epoch [1103] L = 37.068781, acc = 0.865000\n", + "epoch [1104] L = 37.060584, acc = 0.865000\n", + "epoch [1105] L = 37.052342, acc = 0.865000\n", + "epoch [1106] L = 37.044053, acc = 0.865000\n", + "epoch [1107] L = 37.035717, acc = 0.865000\n", + "epoch [1108] L = 37.027335, acc = 0.865000\n", + "epoch [1109] L = 37.018906, acc = 0.865000\n", + "epoch [1110] L = 37.010429, acc = 0.865000\n", + "epoch [1111] L = 37.001905, acc = 0.865000\n", + "epoch [1112] L = 36.993333, acc = 0.865000\n", + "epoch [1113] L = 36.984714, acc = 0.865000\n", + "epoch [1114] L = 36.976047, acc = 0.865000\n", + "epoch [1115] L = 36.967331, acc = 0.865000\n", + "epoch [1116] L = 36.958568, acc = 0.865000\n", + "epoch [1117] L = 36.949756, acc = 0.865000\n", + "epoch [1118] L = 36.940895, acc = 0.865000\n", + "epoch [1119] L = 36.931986, acc = 0.865000\n", + "epoch [1120] L = 36.923028, acc = 0.865000\n", + "epoch [1121] L = 36.914021, acc = 0.865000\n", + "epoch [1122] L = 36.904964, acc = 0.865000\n", + "epoch [1123] L = 36.895858, acc = 0.865000\n", + "epoch [1124] L = 36.886702, acc = 0.865000\n", + "epoch [1125] L = 36.877497, acc = 0.865000\n", + "epoch [1126] L = 36.868242, acc = 0.865000\n", + "epoch [1127] L = 36.858937, acc = 0.865000\n", + "epoch [1128] L = 36.849581, acc = 0.865000\n", + "epoch [1129] L = 36.840175, acc = 0.865000\n", + "epoch [1130] L = 36.830719, acc = 0.865000\n", + "epoch [1131] L = 36.821212, acc = 0.860000\n", + "epoch [1132] L = 36.811654, acc = 0.860000\n", + "epoch [1133] L = 36.802045, acc = 0.865000\n", + "epoch [1134] L = 36.792385, acc = 0.865000\n", + "epoch [1135] L = 36.782673, acc = 0.865000\n", + "epoch [1136] L = 36.772910, acc = 0.865000\n", + "epoch [1137] L = 36.763096, acc = 0.865000\n", + "epoch [1138] L = 36.753230, acc = 0.865000\n", + "epoch [1139] L = 36.743312, acc = 0.865000\n", + "epoch [1140] L = 36.733341, acc = 0.865000\n", + "epoch [1141] L = 36.723319, acc = 0.865000\n", + "epoch [1142] L = 36.713244, acc = 0.865000\n", + "epoch [1143] L = 36.703117, acc = 0.865000\n", + "epoch [1144] L = 36.692938, acc = 0.865000\n", + "epoch [1145] L = 36.682705, acc = 0.865000\n", + "epoch [1146] L = 36.672420, acc = 0.865000\n", + "epoch [1147] L = 36.662082, acc = 0.865000\n", + "epoch [1148] L = 36.651690, acc = 0.865000\n", + "epoch [1149] L = 36.641245, acc = 0.865000\n", + "epoch [1150] L = 36.630747, acc = 0.865000\n", + "epoch [1151] L = 36.620196, acc = 0.865000\n", + "epoch [1152] L = 36.609591, acc = 0.865000\n", + "epoch [1153] L = 36.598932, acc = 0.865000\n", + "epoch [1154] L = 36.588219, acc = 0.865000\n", + "epoch [1155] L = 36.577452, acc = 0.865000\n", + "epoch [1156] L = 36.566631, acc = 0.865000\n", + "epoch [1157] L = 36.555756, acc = 0.865000\n", + "epoch [1158] L = 36.544827, acc = 0.865000\n", + "epoch [1159] L = 36.533843, acc = 0.865000\n", + "epoch [1160] L = 36.522804, acc = 0.865000\n", + "epoch [1161] L = 36.511711, acc = 0.865000\n", + "epoch [1162] L = 36.500563, acc = 0.865000\n", + "epoch [1163] L = 36.489360, acc = 0.865000\n", + "epoch [1164] L = 36.478102, acc = 0.865000\n", + "epoch [1165] L = 36.466790, acc = 0.865000\n", + "epoch [1166] L = 36.455421, acc = 0.865000\n", + "epoch [1167] L = 36.443998, acc = 0.865000\n", + "epoch [1168] L = 36.432519, acc = 0.865000\n", + "epoch [1169] L = 36.420985, acc = 0.865000\n", + "epoch [1170] L = 36.409396, acc = 0.865000\n", + "epoch [1171] L = 36.397750, acc = 0.865000\n", + "epoch [1172] L = 36.386049, acc = 0.865000\n", + "epoch [1173] L = 36.374292, acc = 0.865000\n", + "epoch [1174] L = 36.362480, acc = 0.865000\n", + "epoch [1175] L = 36.350611, acc = 0.865000\n", + "epoch [1176] L = 36.338686, acc = 0.865000\n", + "epoch [1177] L = 36.326705, acc = 0.865000\n", + "epoch [1178] L = 36.314668, acc = 0.865000\n", + "epoch [1179] L = 36.302575, acc = 0.865000\n", + "epoch [1180] L = 36.290425, acc = 0.865000\n", + "epoch [1181] L = 36.278219, acc = 0.865000\n", + "epoch [1182] L = 36.265957, acc = 0.865000\n", + "epoch [1183] L = 36.253638, acc = 0.865000\n", + "epoch [1184] L = 36.241262, acc = 0.865000\n", + "epoch [1185] L = 36.228830, acc = 0.865000\n", + "epoch [1186] L = 36.216341, acc = 0.865000\n", + "epoch [1187] L = 36.203796, acc = 0.865000\n", + "epoch [1188] L = 36.191193, acc = 0.865000\n", + "epoch [1189] L = 36.178534, acc = 0.865000\n", + "epoch [1190] L = 36.165818, acc = 0.865000\n", + "epoch [1191] L = 36.153045, acc = 0.865000\n", + "epoch [1192] L = 36.140215, acc = 0.865000\n", + "epoch [1193] L = 36.127328, acc = 0.865000\n", + "epoch [1194] L = 36.114384, acc = 0.865000\n", + "epoch [1195] L = 36.101383, acc = 0.865000\n", + "epoch [1196] L = 36.088325, acc = 0.865000\n", + "epoch [1197] L = 36.075210, acc = 0.865000\n", + "epoch [1198] L = 36.062037, acc = 0.865000\n", + "epoch [1199] L = 36.048808, acc = 0.865000\n", + "epoch [1200] L = 36.035521, acc = 0.865000\n", + "epoch [1201] L = 36.022177, acc = 0.865000\n", + "epoch [1202] L = 36.008776, acc = 0.865000\n", + "epoch [1203] L = 35.995318, acc = 0.865000\n", + "epoch [1204] L = 35.981802, acc = 0.865000\n", + "epoch [1205] L = 35.968229, acc = 0.865000\n", + "epoch [1206] L = 35.954599, acc = 0.865000\n", + "epoch [1207] L = 35.940912, acc = 0.865000\n", + "epoch [1208] L = 35.927168, acc = 0.865000\n", + "epoch [1209] L = 35.913366, acc = 0.865000\n", + "epoch [1210] L = 35.899507, acc = 0.865000\n", + "epoch [1211] L = 35.885591, acc = 0.865000\n", + "epoch [1212] L = 35.871617, acc = 0.865000\n", + "epoch [1213] L = 35.857587, acc = 0.865000\n", + "epoch [1214] L = 35.843499, acc = 0.865000\n", + "epoch [1215] L = 35.829354, acc = 0.865000\n", + "epoch [1216] L = 35.815152, acc = 0.865000\n", + "epoch [1217] L = 35.800893, acc = 0.865000\n", + "epoch [1218] L = 35.786577, acc = 0.865000\n", + "epoch [1219] L = 35.772204, acc = 0.865000\n", + "epoch [1220] L = 35.757773, acc = 0.865000\n", + "epoch [1221] L = 35.743286, acc = 0.865000\n", + "epoch [1222] L = 35.728742, acc = 0.865000\n", + "epoch [1223] L = 35.714141, acc = 0.865000\n", + "epoch [1224] L = 35.699483, acc = 0.865000\n", + "epoch [1225] L = 35.684769, acc = 0.865000\n", + "epoch [1226] L = 35.669997, acc = 0.870000\n", + "epoch [1227] L = 35.655169, acc = 0.870000\n", + "epoch [1228] L = 35.640284, acc = 0.870000\n", + "epoch [1229] L = 35.625343, acc = 0.870000\n", + "epoch [1230] L = 35.610345, acc = 0.870000\n", + "epoch [1231] L = 35.595291, acc = 0.870000\n", + "epoch [1232] L = 35.580180, acc = 0.870000\n", + "epoch [1233] L = 35.565013, acc = 0.870000\n", + "epoch [1234] L = 35.549790, acc = 0.870000\n", + "epoch [1235] L = 35.534511, acc = 0.870000\n", + "epoch [1236] L = 35.519175, acc = 0.870000\n", + "epoch [1237] L = 35.503784, acc = 0.875000\n", + "epoch [1238] L = 35.488336, acc = 0.875000\n", + "epoch [1239] L = 35.472833, acc = 0.875000\n", + "epoch [1240] L = 35.457274, acc = 0.875000\n", + "epoch [1241] L = 35.441659, acc = 0.875000\n", + "epoch [1242] L = 35.425989, acc = 0.875000\n", + "epoch [1243] L = 35.410264, acc = 0.875000\n", + "epoch [1244] L = 35.394483, acc = 0.875000\n", + "epoch [1245] L = 35.378646, acc = 0.875000\n", + "epoch [1246] L = 35.362755, acc = 0.875000\n", + "epoch [1247] L = 35.346808, acc = 0.875000\n", + "epoch [1248] L = 35.330807, acc = 0.875000\n", + "epoch [1249] L = 35.314751, acc = 0.875000\n", + "epoch [1250] L = 35.298640, acc = 0.875000\n", + "epoch [1251] L = 35.282474, acc = 0.875000\n", + "epoch [1252] L = 35.266254, acc = 0.875000\n", + "epoch [1253] L = 35.249980, acc = 0.875000\n", + "epoch [1254] L = 35.233651, acc = 0.875000\n", + "epoch [1255] L = 35.217268, acc = 0.875000\n", + "epoch [1256] L = 35.200832, acc = 0.875000\n", + "epoch [1257] L = 35.184341, acc = 0.875000\n", + "epoch [1258] L = 35.167797, acc = 0.875000\n", + "epoch [1259] L = 35.151199, acc = 0.875000\n", + "epoch [1260] L = 35.134548, acc = 0.875000\n", + "epoch [1261] L = 35.117844, acc = 0.875000\n", + "epoch [1262] L = 35.101086, acc = 0.875000\n", + "epoch [1263] L = 35.084276, acc = 0.875000\n", + "epoch [1264] L = 35.067413, acc = 0.875000\n", + "epoch [1265] L = 35.050497, acc = 0.875000\n", + "epoch [1266] L = 35.033529, acc = 0.875000\n", + "epoch [1267] L = 35.016508, acc = 0.875000\n", + "epoch [1268] L = 34.999435, acc = 0.875000\n", + "epoch [1269] L = 34.982310, acc = 0.875000\n", + "epoch [1270] L = 34.965134, acc = 0.875000\n", + "epoch [1271] L = 34.947905, acc = 0.875000\n", + "epoch [1272] L = 34.930625, acc = 0.875000\n", + "epoch [1273] L = 34.913294, acc = 0.875000\n", + "epoch [1274] L = 34.895912, acc = 0.875000\n", + "epoch [1275] L = 34.878479, acc = 0.875000\n", + "epoch [1276] L = 34.860995, acc = 0.875000\n", + "epoch [1277] L = 34.843460, acc = 0.875000\n", + "epoch [1278] L = 34.825875, acc = 0.875000\n", + "epoch [1279] L = 34.808240, acc = 0.875000\n", + "epoch [1280] L = 34.790555, acc = 0.875000\n", + "epoch [1281] L = 34.772820, acc = 0.875000\n", + "epoch [1282] L = 34.755035, acc = 0.875000\n", + "epoch [1283] L = 34.737201, acc = 0.875000\n", + "epoch [1284] L = 34.719318, acc = 0.875000\n", + "epoch [1285] L = 34.701385, acc = 0.875000\n", + "epoch [1286] L = 34.683404, acc = 0.875000\n", + "epoch [1287] L = 34.665374, acc = 0.875000\n", + "epoch [1288] L = 34.647296, acc = 0.875000\n", + "epoch [1289] L = 34.629170, acc = 0.875000\n", + "epoch [1290] L = 34.610995, acc = 0.875000\n", + "epoch [1291] L = 34.592773, acc = 0.875000\n", + "epoch [1292] L = 34.574504, acc = 0.875000\n", + "epoch [1293] L = 34.556187, acc = 0.875000\n", + "epoch [1294] L = 34.537823, acc = 0.875000\n", + "epoch [1295] L = 34.519412, acc = 0.875000\n", + "epoch [1296] L = 34.500954, acc = 0.875000\n", + "epoch [1297] L = 34.482450, acc = 0.875000\n", + "epoch [1298] L = 34.463900, acc = 0.875000\n", + "epoch [1299] L = 34.445304, acc = 0.875000\n", + "epoch [1300] L = 34.426662, acc = 0.875000\n", + "epoch [1301] L = 34.407975, acc = 0.875000\n", + "epoch [1302] L = 34.389242, acc = 0.875000\n", + "epoch [1303] L = 34.370465, acc = 0.875000\n", + "epoch [1304] L = 34.351643, acc = 0.875000\n", + "epoch [1305] L = 34.332776, acc = 0.875000\n", + "epoch [1306] L = 34.313865, acc = 0.875000\n", + "epoch [1307] L = 34.294910, acc = 0.875000\n", + "epoch [1308] L = 34.275911, acc = 0.875000\n", + "epoch [1309] L = 34.256868, acc = 0.875000\n", + "epoch [1310] L = 34.237783, acc = 0.875000\n", + "epoch [1311] L = 34.218654, acc = 0.875000\n", + "epoch [1312] L = 34.199483, acc = 0.875000\n", + "epoch [1313] L = 34.180269, acc = 0.875000\n", + "epoch [1314] L = 34.161013, acc = 0.875000\n", + "epoch [1315] L = 34.141714, acc = 0.875000\n", + "epoch [1316] L = 34.122375, acc = 0.875000\n", + "epoch [1317] L = 34.102993, acc = 0.875000\n", + "epoch [1318] L = 34.083571, acc = 0.875000\n", + "epoch [1319] L = 34.064107, acc = 0.875000\n", + "epoch [1320] L = 34.044603, acc = 0.875000\n", + "epoch [1321] L = 34.025059, acc = 0.875000\n", + "epoch [1322] L = 34.005474, acc = 0.875000\n", + "epoch [1323] L = 33.985850, acc = 0.875000\n", + "epoch [1324] L = 33.966186, acc = 0.875000\n", + "epoch [1325] L = 33.946482, acc = 0.880000\n", + "epoch [1326] L = 33.926740, acc = 0.880000\n", + "epoch [1327] L = 33.906959, acc = 0.880000\n", + "epoch [1328] L = 33.887140, acc = 0.880000\n", + "epoch [1329] L = 33.867282, acc = 0.880000\n", + "epoch [1330] L = 33.847386, acc = 0.880000\n", + "epoch [1331] L = 33.827453, acc = 0.880000\n", + "epoch [1332] L = 33.807482, acc = 0.880000\n", + "epoch [1333] L = 33.787475, acc = 0.880000\n", + "epoch [1334] L = 33.767431, acc = 0.880000\n", + "epoch [1335] L = 33.747350, acc = 0.880000\n", + "epoch [1336] L = 33.727233, acc = 0.880000\n", + "epoch [1337] L = 33.707080, acc = 0.880000\n", + "epoch [1338] L = 33.686891, acc = 0.880000\n", + "epoch [1339] L = 33.666667, acc = 0.880000\n", + "epoch [1340] L = 33.646408, acc = 0.880000\n", + "epoch [1341] L = 33.626115, acc = 0.880000\n", + "epoch [1342] L = 33.605787, acc = 0.880000\n", + "epoch [1343] L = 33.585425, acc = 0.880000\n", + "epoch [1344] L = 33.565028, acc = 0.880000\n", + "epoch [1345] L = 33.544599, acc = 0.880000\n", + "epoch [1346] L = 33.524136, acc = 0.880000\n", + "epoch [1347] L = 33.503640, acc = 0.880000\n", + "epoch [1348] L = 33.483111, acc = 0.885000\n", + "epoch [1349] L = 33.462551, acc = 0.885000\n", + "epoch [1350] L = 33.441958, acc = 0.885000\n", + "epoch [1351] L = 33.421333, acc = 0.885000\n", + "epoch [1352] L = 33.400677, acc = 0.885000\n", + "epoch [1353] L = 33.379989, acc = 0.885000\n", + "epoch [1354] L = 33.359271, acc = 0.885000\n", + "epoch [1355] L = 33.338522, acc = 0.890000\n", + "epoch [1356] L = 33.317743, acc = 0.890000\n", + "epoch [1357] L = 33.296934, acc = 0.890000\n", + "epoch [1358] L = 33.276095, acc = 0.890000\n", + "epoch [1359] L = 33.255227, acc = 0.890000\n", + "epoch [1360] L = 33.234330, acc = 0.890000\n", + "epoch [1361] L = 33.213404, acc = 0.890000\n", + "epoch [1362] L = 33.192450, acc = 0.890000\n", + "epoch [1363] L = 33.171467, acc = 0.890000\n", + "epoch [1364] L = 33.150457, acc = 0.890000\n", + "epoch [1365] L = 33.129419, acc = 0.890000\n", + "epoch [1366] L = 33.108354, acc = 0.890000\n", + "epoch [1367] L = 33.087262, acc = 0.895000\n", + "epoch [1368] L = 33.066143, acc = 0.895000\n", + "epoch [1369] L = 33.044998, acc = 0.895000\n", + "epoch [1370] L = 33.023828, acc = 0.895000\n", + "epoch [1371] L = 33.002631, acc = 0.895000\n", + "epoch [1372] L = 32.981409, acc = 0.895000\n", + "epoch [1373] L = 32.960162, acc = 0.895000\n", + "epoch [1374] L = 32.938890, acc = 0.895000\n", + "epoch [1375] L = 32.917594, acc = 0.895000\n", + "epoch [1376] L = 32.896273, acc = 0.895000\n", + "epoch [1377] L = 32.874929, acc = 0.895000\n", + "epoch [1378] L = 32.853561, acc = 0.895000\n", + "epoch [1379] L = 32.832170, acc = 0.895000\n", + "epoch [1380] L = 32.810756, acc = 0.895000\n", + "epoch [1381] L = 32.789319, acc = 0.895000\n", + "epoch [1382] L = 32.767860, acc = 0.895000\n", + "epoch [1383] L = 32.746379, acc = 0.895000\n", + "epoch [1384] L = 32.724877, acc = 0.895000\n", + "epoch [1385] L = 32.703353, acc = 0.895000\n", + "epoch [1386] L = 32.681807, acc = 0.895000\n", + "epoch [1387] L = 32.660241, acc = 0.895000\n", + "epoch [1388] L = 32.638655, acc = 0.895000\n", + "epoch [1389] L = 32.617048, acc = 0.895000\n", + "epoch [1390] L = 32.595422, acc = 0.895000\n", + "epoch [1391] L = 32.573775, acc = 0.895000\n", + "epoch [1392] L = 32.552110, acc = 0.895000\n", + "epoch [1393] L = 32.530426, acc = 0.895000\n", + "epoch [1394] L = 32.508723, acc = 0.895000\n", + "epoch [1395] L = 32.487001, acc = 0.895000\n", + "epoch [1396] L = 32.465262, acc = 0.895000\n", + "epoch [1397] L = 32.443504, acc = 0.895000\n", + "epoch [1398] L = 32.421730, acc = 0.895000\n", + "epoch [1399] L = 32.399938, acc = 0.895000\n", + "epoch [1400] L = 32.378129, acc = 0.895000\n", + "epoch [1401] L = 32.356304, acc = 0.895000\n", + "epoch [1402] L = 32.334462, acc = 0.895000\n", + "epoch [1403] L = 32.312604, acc = 0.895000\n", + "epoch [1404] L = 32.290731, acc = 0.895000\n", + "epoch [1405] L = 32.268842, acc = 0.895000\n", + "epoch [1406] L = 32.246939, acc = 0.895000\n", + "epoch [1407] L = 32.225020, acc = 0.895000\n", + "epoch [1408] L = 32.203087, acc = 0.895000\n", + "epoch [1409] L = 32.181140, acc = 0.895000\n", + "epoch [1410] L = 32.159179, acc = 0.895000\n", + "epoch [1411] L = 32.137204, acc = 0.895000\n", + "epoch [1412] L = 32.115216, acc = 0.895000\n", + "epoch [1413] L = 32.093215, acc = 0.895000\n", + "epoch [1414] L = 32.071201, acc = 0.895000\n", + "epoch [1415] L = 32.049175, acc = 0.895000\n", + "epoch [1416] L = 32.027136, acc = 0.895000\n", + "epoch [1417] L = 32.005086, acc = 0.895000\n", + "epoch [1418] L = 31.983024, acc = 0.895000\n", + "epoch [1419] L = 31.960950, acc = 0.895000\n", + "epoch [1420] L = 31.938866, acc = 0.895000\n", + "epoch [1421] L = 31.916771, acc = 0.895000\n", + "epoch [1422] L = 31.894666, acc = 0.895000\n", + "epoch [1423] L = 31.872550, acc = 0.895000\n", + "epoch [1424] L = 31.850424, acc = 0.895000\n", + "epoch [1425] L = 31.828289, acc = 0.895000\n", + "epoch [1426] L = 31.806145, acc = 0.895000\n", + "epoch [1427] L = 31.783991, acc = 0.900000\n", + "epoch [1428] L = 31.761829, acc = 0.900000\n", + "epoch [1429] L = 31.739658, acc = 0.900000\n", + "epoch [1430] L = 31.717479, acc = 0.900000\n", + "epoch [1431] L = 31.695292, acc = 0.900000\n", + "epoch [1432] L = 31.673097, acc = 0.900000\n", + "epoch [1433] L = 31.650895, acc = 0.900000\n", + "epoch [1434] L = 31.628685, acc = 0.900000\n", + "epoch [1435] L = 31.606469, acc = 0.900000\n", + "epoch [1436] L = 31.584247, acc = 0.900000\n", + "epoch [1437] L = 31.562017, acc = 0.900000\n", + "epoch [1438] L = 31.539782, acc = 0.900000\n", + "epoch [1439] L = 31.517541, acc = 0.900000\n", + "epoch [1440] L = 31.495295, acc = 0.900000\n", + "epoch [1441] L = 31.473043, acc = 0.900000\n", + "epoch [1442] L = 31.450786, acc = 0.900000\n", + "epoch [1443] L = 31.428525, acc = 0.900000\n", + "epoch [1444] L = 31.406259, acc = 0.900000\n", + "epoch [1445] L = 31.383989, acc = 0.900000\n", + "epoch [1446] L = 31.361714, acc = 0.900000\n", + "epoch [1447] L = 31.339436, acc = 0.900000\n", + "epoch [1448] L = 31.317155, acc = 0.900000\n", + "epoch [1449] L = 31.294870, acc = 0.900000\n", + "epoch [1450] L = 31.272583, acc = 0.900000\n", + "epoch [1451] L = 31.250292, acc = 0.900000\n", + "epoch [1452] L = 31.228000, acc = 0.900000\n", + "epoch [1453] L = 31.205705, acc = 0.900000\n", + "epoch [1454] L = 31.183408, acc = 0.900000\n", + "epoch [1455] L = 31.161109, acc = 0.900000\n", + "epoch [1456] L = 31.138809, acc = 0.900000\n", + "epoch [1457] L = 31.116508, acc = 0.900000\n", + "epoch [1458] L = 31.094205, acc = 0.900000\n", + "epoch [1459] L = 31.071902, acc = 0.900000\n", + "epoch [1460] L = 31.049599, acc = 0.900000\n", + "epoch [1461] L = 31.027295, acc = 0.900000\n", + "epoch [1462] L = 31.004991, acc = 0.900000\n", + "epoch [1463] L = 30.982687, acc = 0.900000\n", + "epoch [1464] L = 30.960384, acc = 0.900000\n", + "epoch [1465] L = 30.938082, acc = 0.900000\n", + "epoch [1466] L = 30.915780, acc = 0.900000\n", + "epoch [1467] L = 30.893480, acc = 0.900000\n", + "epoch [1468] L = 30.871180, acc = 0.900000\n", + "epoch [1469] L = 30.848883, acc = 0.900000\n", + "epoch [1470] L = 30.826587, acc = 0.900000\n", + "epoch [1471] L = 30.804294, acc = 0.900000\n", + "epoch [1472] L = 30.782002, acc = 0.900000\n", + "epoch [1473] L = 30.759713, acc = 0.905000\n", + "epoch [1474] L = 30.737427, acc = 0.905000\n", + "epoch [1475] L = 30.715144, acc = 0.905000\n", + "epoch [1476] L = 30.692864, acc = 0.905000\n", + "epoch [1477] L = 30.670587, acc = 0.905000\n", + "epoch [1478] L = 30.648314, acc = 0.905000\n", + "epoch [1479] L = 30.626045, acc = 0.905000\n", + "epoch [1480] L = 30.603779, acc = 0.905000\n", + "epoch [1481] L = 30.581518, acc = 0.905000\n", + "epoch [1482] L = 30.559262, acc = 0.905000\n", + "epoch [1483] L = 30.537010, acc = 0.905000\n", + "epoch [1484] L = 30.514763, acc = 0.905000\n", + "epoch [1485] L = 30.492520, acc = 0.905000\n", + "epoch [1486] L = 30.470284, acc = 0.905000\n", + "epoch [1487] L = 30.448052, acc = 0.905000\n", + "epoch [1488] L = 30.425827, acc = 0.905000\n", + "epoch [1489] L = 30.403607, acc = 0.905000\n", + "epoch [1490] L = 30.381393, acc = 0.905000\n", + "epoch [1491] L = 30.359186, acc = 0.905000\n", + "epoch [1492] L = 30.336985, acc = 0.905000\n", + "epoch [1493] L = 30.314790, acc = 0.905000\n", + "epoch [1494] L = 30.292603, acc = 0.905000\n", + "epoch [1495] L = 30.270422, acc = 0.905000\n", + "epoch [1496] L = 30.248249, acc = 0.905000\n", + "epoch [1497] L = 30.226083, acc = 0.905000\n", + "epoch [1498] L = 30.203925, acc = 0.910000\n", + "epoch [1499] L = 30.181775, acc = 0.910000\n", + "epoch [1500] L = 30.159633, acc = 0.910000\n", + "epoch [1501] L = 30.137498, acc = 0.910000\n", + "epoch [1502] L = 30.115373, acc = 0.910000\n", + "epoch [1503] L = 30.093255, acc = 0.910000\n", + "epoch [1504] L = 30.071147, acc = 0.910000\n", + "epoch [1505] L = 30.049047, acc = 0.910000\n", + "epoch [1506] L = 30.026957, acc = 0.910000\n", + "epoch [1507] L = 30.004875, acc = 0.910000\n", + "epoch [1508] L = 29.982803, acc = 0.910000\n", + "epoch [1509] L = 29.960741, acc = 0.910000\n", + "epoch [1510] L = 29.938689, acc = 0.915000\n", + "epoch [1511] L = 29.916646, acc = 0.915000\n", + "epoch [1512] L = 29.894613, acc = 0.915000\n", + "epoch [1513] L = 29.872591, acc = 0.915000\n", + "epoch [1514] L = 29.850579, acc = 0.915000\n", + "epoch [1515] L = 29.828578, acc = 0.915000\n", + "epoch [1516] L = 29.806588, acc = 0.915000\n", + "epoch [1517] L = 29.784609, acc = 0.915000\n", + "epoch [1518] L = 29.762640, acc = 0.915000\n", + "epoch [1519] L = 29.740683, acc = 0.915000\n", + "epoch [1520] L = 29.718737, acc = 0.915000\n", + "epoch [1521] L = 29.696803, acc = 0.915000\n", + "epoch [1522] L = 29.674881, acc = 0.915000\n", + "epoch [1523] L = 29.652971, acc = 0.915000\n", + "epoch [1524] L = 29.631072, acc = 0.915000\n", + "epoch [1525] L = 29.609186, acc = 0.915000\n", + "epoch [1526] L = 29.587312, acc = 0.915000\n", + "epoch [1527] L = 29.565451, acc = 0.915000\n", + "epoch [1528] L = 29.543602, acc = 0.915000\n", + "epoch [1529] L = 29.521766, acc = 0.915000\n", + "epoch [1530] L = 29.499943, acc = 0.915000\n", + "epoch [1531] L = 29.478133, acc = 0.915000\n", + "epoch [1532] L = 29.456336, acc = 0.915000\n", + "epoch [1533] L = 29.434553, acc = 0.915000\n", + "epoch [1534] L = 29.412783, acc = 0.915000\n", + "epoch [1535] L = 29.391027, acc = 0.915000\n", + "epoch [1536] L = 29.369284, acc = 0.915000\n", + "epoch [1537] L = 29.347556, acc = 0.915000\n", + "epoch [1538] L = 29.325841, acc = 0.915000\n", + "epoch [1539] L = 29.304141, acc = 0.915000\n", + "epoch [1540] L = 29.282455, acc = 0.915000\n", + "epoch [1541] L = 29.260784, acc = 0.915000\n", + "epoch [1542] L = 29.239127, acc = 0.915000\n", + "epoch [1543] L = 29.217484, acc = 0.915000\n", + "epoch [1544] L = 29.195857, acc = 0.915000\n", + "epoch [1545] L = 29.174245, acc = 0.915000\n", + "epoch [1546] L = 29.152647, acc = 0.915000\n", + "epoch [1547] L = 29.131065, acc = 0.915000\n", + "epoch [1548] L = 29.109498, acc = 0.915000\n", + "epoch [1549] L = 29.087947, acc = 0.915000\n", + "epoch [1550] L = 29.066411, acc = 0.915000\n", + "epoch [1551] L = 29.044891, acc = 0.915000\n", + "epoch [1552] L = 29.023387, acc = 0.915000\n", + "epoch [1553] L = 29.001899, acc = 0.915000\n", + "epoch [1554] L = 28.980427, acc = 0.915000\n", + "epoch [1555] L = 28.958971, acc = 0.915000\n", + "epoch [1556] L = 28.937531, acc = 0.915000\n", + "epoch [1557] L = 28.916108, acc = 0.915000\n", + "epoch [1558] L = 28.894701, acc = 0.915000\n", + "epoch [1559] L = 28.873311, acc = 0.915000\n", + "epoch [1560] L = 28.851937, acc = 0.915000\n", + "epoch [1561] L = 28.830580, acc = 0.915000\n", + "epoch [1562] L = 28.809241, acc = 0.915000\n", + "epoch [1563] L = 28.787918, acc = 0.915000\n", + "epoch [1564] L = 28.766612, acc = 0.915000\n", + "epoch [1565] L = 28.745324, acc = 0.915000\n", + "epoch [1566] L = 28.724053, acc = 0.915000\n", + "epoch [1567] L = 28.702800, acc = 0.915000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch [1842] L = 20.680203, acc = 0.945000\n", - "epoch [1843] L = 20.670426, acc = 0.945000\n", - "epoch [1844] L = 20.660661, acc = 0.945000\n", - "epoch [1845] L = 20.650909, acc = 0.945000\n", - "epoch [1846] L = 20.641171, acc = 0.945000\n", - "epoch [1847] L = 20.631445, acc = 0.945000\n", - "epoch [1848] L = 20.621733, acc = 0.945000\n", - "epoch [1849] L = 20.612033, acc = 0.945000\n", - "epoch [1850] L = 20.602346, acc = 0.945000\n", - "epoch [1851] L = 20.592673, acc = 0.945000\n", - "epoch [1852] L = 20.583012, acc = 0.945000\n", - "epoch [1853] L = 20.573363, acc = 0.945000\n", - "epoch [1854] L = 20.563728, acc = 0.945000\n", - "epoch [1855] L = 20.554105, acc = 0.945000\n", - "epoch [1856] L = 20.544495, acc = 0.945000\n", - "epoch [1857] L = 20.534897, acc = 0.945000\n", - "epoch [1858] L = 20.525312, acc = 0.945000\n", - "epoch [1859] L = 20.515740, acc = 0.945000\n", - "epoch [1860] L = 20.506181, acc = 0.945000\n", - "epoch [1861] L = 20.496633, acc = 0.945000\n", - "epoch [1862] L = 20.487099, acc = 0.945000\n", - "epoch [1863] L = 20.477576, acc = 0.945000\n", - "epoch [1864] L = 20.468067, acc = 0.945000\n", - "epoch [1865] L = 20.458569, acc = 0.945000\n", - "epoch [1866] L = 20.449084, acc = 0.945000\n", - "epoch [1867] L = 20.439611, acc = 0.945000\n", - "epoch [1868] L = 20.430151, acc = 0.945000\n", - "epoch [1869] L = 20.420703, acc = 0.945000\n", - "epoch [1870] L = 20.411267, acc = 0.945000\n", - "epoch [1871] L = 20.401843, acc = 0.945000\n", - "epoch [1872] L = 20.392432, acc = 0.945000\n", - "epoch [1873] L = 20.383032, acc = 0.945000\n", - "epoch [1874] L = 20.373645, acc = 0.945000\n", - "epoch [1875] L = 20.364269, acc = 0.945000\n", - "epoch [1876] L = 20.354906, acc = 0.945000\n", - "epoch [1877] L = 20.345555, acc = 0.945000\n", - "epoch [1878] L = 20.336216, acc = 0.945000\n", - "epoch [1879] L = 20.326888, acc = 0.945000\n", - "epoch [1880] L = 20.317573, acc = 0.945000\n", - "epoch [1881] L = 20.308269, acc = 0.945000\n", - "epoch [1882] L = 20.298977, acc = 0.945000\n", - "epoch [1883] L = 20.289697, acc = 0.945000\n", - "epoch [1884] L = 20.280429, acc = 0.945000\n", - "epoch [1885] L = 20.271172, acc = 0.945000\n", - "epoch [1886] L = 20.261928, acc = 0.945000\n", - "epoch [1887] L = 20.252694, acc = 0.945000\n", - "epoch [1888] L = 20.243473, acc = 0.945000\n", - "epoch [1889] L = 20.234263, acc = 0.945000\n", - "epoch [1890] L = 20.225065, acc = 0.945000\n", - "epoch [1891] L = 20.215878, acc = 0.945000\n", - "epoch [1892] L = 20.206703, acc = 0.945000\n", - "epoch [1893] L = 20.197539, acc = 0.945000\n", - "epoch [1894] L = 20.188386, acc = 0.945000\n", - "epoch [1895] L = 20.179245, acc = 0.945000\n", - "epoch [1896] L = 20.170116, acc = 0.945000\n", - "epoch [1897] L = 20.160998, acc = 0.945000\n", - "epoch [1898] L = 20.151891, acc = 0.945000\n", - "epoch [1899] L = 20.142795, acc = 0.945000\n", - "epoch [1900] L = 20.133710, acc = 0.945000\n", - "epoch [1901] L = 20.124637, acc = 0.945000\n", - "epoch [1902] L = 20.115575, acc = 0.945000\n", - "epoch [1903] L = 20.106524, acc = 0.945000\n", - "epoch [1904] L = 20.097485, acc = 0.945000\n", - "epoch [1905] L = 20.088456, acc = 0.945000\n", - "epoch [1906] L = 20.079438, acc = 0.945000\n", - "epoch [1907] L = 20.070431, acc = 0.945000\n", - "epoch [1908] L = 20.061436, acc = 0.945000\n", - "epoch [1909] L = 20.052451, acc = 0.945000\n", - "epoch [1910] L = 20.043477, acc = 0.950000\n", - "epoch [1911] L = 20.034514, acc = 0.950000\n", - "epoch [1912] L = 20.025562, acc = 0.950000\n", - "epoch [1913] L = 20.016621, acc = 0.950000\n", - "epoch [1914] L = 20.007691, acc = 0.950000\n", - "epoch [1915] L = 19.998771, acc = 0.950000\n", - "epoch [1916] L = 19.989862, acc = 0.950000\n", - "epoch [1917] L = 19.980964, acc = 0.950000\n", - "epoch [1918] L = 19.972076, acc = 0.950000\n", - "epoch [1919] L = 19.963199, acc = 0.950000\n", - "epoch [1920] L = 19.954333, acc = 0.950000\n", - "epoch [1921] L = 19.945477, acc = 0.950000\n", - "epoch [1922] L = 19.936632, acc = 0.950000\n", - "epoch [1923] L = 19.927797, acc = 0.950000\n", - "epoch [1924] L = 19.918973, acc = 0.950000\n", - "epoch [1925] L = 19.910159, acc = 0.950000\n", - "epoch [1926] L = 19.901355, acc = 0.950000\n", - "epoch [1927] L = 19.892562, acc = 0.950000\n", - "epoch [1928] L = 19.883779, acc = 0.950000\n", - "epoch [1929] L = 19.875007, acc = 0.950000\n", - "epoch [1930] L = 19.866245, acc = 0.950000\n", - "epoch [1931] L = 19.857493, acc = 0.950000\n", - "epoch [1932] L = 19.848751, acc = 0.950000\n", - "epoch [1933] L = 19.840019, acc = 0.950000\n", - "epoch [1934] L = 19.831298, acc = 0.950000\n", - "epoch [1935] L = 19.822587, acc = 0.950000\n", - "epoch [1936] L = 19.813885, acc = 0.950000\n", - "epoch [1937] L = 19.805194, acc = 0.950000\n", - "epoch [1938] L = 19.796513, acc = 0.950000\n", - "epoch [1939] L = 19.787842, acc = 0.950000\n", - "epoch [1940] L = 19.779181, acc = 0.950000\n", - "epoch [1941] L = 19.770529, acc = 0.950000\n", - "epoch [1942] L = 19.761888, acc = 0.950000\n", - "epoch [1943] L = 19.753257, acc = 0.950000\n", - "epoch [1944] L = 19.744635, acc = 0.950000\n", - "epoch [1945] L = 19.736023, acc = 0.950000\n", - "epoch [1946] L = 19.727421, acc = 0.950000\n", - "epoch [1947] L = 19.718828, acc = 0.950000\n", - "epoch [1948] L = 19.710246, acc = 0.950000\n", - "epoch [1949] L = 19.701673, acc = 0.950000\n", - "epoch [1950] L = 19.693109, acc = 0.950000\n", - "epoch [1951] L = 19.684555, acc = 0.950000\n", - "epoch [1952] L = 19.676011, acc = 0.950000\n", - "epoch [1953] L = 19.667476, acc = 0.950000\n", - "epoch [1954] L = 19.658951, acc = 0.950000\n", - "epoch [1955] L = 19.650436, acc = 0.950000\n", - "epoch [1956] L = 19.641929, acc = 0.950000\n", - "epoch [1957] L = 19.633432, acc = 0.950000\n", - "epoch [1958] L = 19.624945, acc = 0.950000\n", - "epoch [1959] L = 19.616467, acc = 0.950000\n", - "epoch [1960] L = 19.607998, acc = 0.950000\n", - "epoch [1961] L = 19.599539, acc = 0.950000\n", - "epoch [1962] L = 19.591088, acc = 0.950000\n", - "epoch [1963] L = 19.582647, acc = 0.950000\n", - "epoch [1964] L = 19.574216, acc = 0.950000\n", - "epoch [1965] L = 19.565793, acc = 0.950000\n", - "epoch [1966] L = 19.557379, acc = 0.950000\n", - "epoch [1967] L = 19.548975, acc = 0.950000\n", - "epoch [1968] L = 19.540580, acc = 0.950000\n", - "epoch [1969] L = 19.532193, acc = 0.950000\n", - "epoch [1970] L = 19.523816, acc = 0.950000\n", - "epoch [1971] L = 19.515448, acc = 0.950000\n", - "epoch [1972] L = 19.507088, acc = 0.950000\n", - "epoch [1973] L = 19.498738, acc = 0.950000\n", - "epoch [1974] L = 19.490396, acc = 0.950000\n", - "epoch [1975] L = 19.482063, acc = 0.950000\n", - "epoch [1976] L = 19.473739, acc = 0.950000\n", - "epoch [1977] L = 19.465424, acc = 0.950000\n", - "epoch [1978] L = 19.457118, acc = 0.950000\n", - "epoch [1979] L = 19.448820, acc = 0.950000\n", - "epoch [1980] L = 19.440531, acc = 0.950000\n", - "epoch [1981] L = 19.432251, acc = 0.950000\n", - "epoch [1982] L = 19.423979, acc = 0.950000\n", - "epoch [1983] L = 19.415716, acc = 0.950000\n", - "epoch [1984] L = 19.407461, acc = 0.950000\n", - "epoch [1985] L = 19.399215, acc = 0.950000\n", - "epoch [1986] L = 19.390978, acc = 0.950000\n", - "epoch [1987] L = 19.382749, acc = 0.950000\n", - "epoch [1988] L = 19.374528, acc = 0.950000\n", - "epoch [1989] L = 19.366316, acc = 0.950000\n", - "epoch [1990] L = 19.358112, acc = 0.950000\n", - "epoch [1991] L = 19.349917, acc = 0.950000\n", - "epoch [1992] L = 19.341730, acc = 0.950000\n", - "epoch [1993] L = 19.333551, acc = 0.950000\n", - "epoch [1994] L = 19.325380, acc = 0.950000\n", - "epoch [1995] L = 19.317218, acc = 0.950000\n", - "epoch [1996] L = 19.309064, acc = 0.950000\n", - "epoch [1997] L = 19.300918, acc = 0.950000\n", - "epoch [1998] L = 19.292780, acc = 0.950000\n", - "epoch [1999] L = 19.284650, acc = 0.950000\n" + "epoch [1568] L = 28.681564, acc = 0.915000\n", + "epoch [1569] L = 28.660346, acc = 0.915000\n", + "epoch [1570] L = 28.639145, acc = 0.915000\n", + "epoch [1571] L = 28.617963, acc = 0.915000\n", + "epoch [1572] L = 28.596798, acc = 0.915000\n", + "epoch [1573] L = 28.575651, acc = 0.915000\n", + "epoch [1574] L = 28.554523, acc = 0.915000\n", + "epoch [1575] L = 28.533413, acc = 0.915000\n", + "epoch [1576] L = 28.512321, acc = 0.915000\n", + "epoch [1577] L = 28.491247, acc = 0.915000\n", + "epoch [1578] L = 28.470192, acc = 0.915000\n", + "epoch [1579] L = 28.449156, acc = 0.915000\n", + "epoch [1580] L = 28.428138, acc = 0.915000\n", + "epoch [1581] L = 28.407139, acc = 0.915000\n", + "epoch [1582] L = 28.386159, acc = 0.915000\n", + "epoch [1583] L = 28.365198, acc = 0.915000\n", + "epoch [1584] L = 28.344256, acc = 0.915000\n", + "epoch [1585] L = 28.323333, acc = 0.915000\n", + "epoch [1586] L = 28.302429, acc = 0.915000\n", + "epoch [1587] L = 28.281545, acc = 0.915000\n", + "epoch [1588] L = 28.260680, acc = 0.915000\n", + "epoch [1589] L = 28.239834, acc = 0.915000\n", + "epoch [1590] L = 28.219008, acc = 0.915000\n", + "epoch [1591] L = 28.198201, acc = 0.915000\n", + "epoch [1592] L = 28.177414, acc = 0.915000\n", + "epoch [1593] L = 28.156647, acc = 0.915000\n", + "epoch [1594] L = 28.135899, acc = 0.915000\n", + "epoch [1595] L = 28.115172, acc = 0.915000\n", + "epoch [1596] L = 28.094464, acc = 0.915000\n", + "epoch [1597] L = 28.073777, acc = 0.915000\n", + "epoch [1598] L = 28.053109, acc = 0.915000\n", + "epoch [1599] L = 28.032462, acc = 0.915000\n", + "epoch [1600] L = 28.011835, acc = 0.915000\n", + "epoch [1601] L = 27.991228, acc = 0.915000\n", + "epoch [1602] L = 27.970642, acc = 0.915000\n", + "epoch [1603] L = 27.950076, acc = 0.915000\n", + "epoch [1604] L = 27.929530, acc = 0.915000\n", + "epoch [1605] L = 27.909006, acc = 0.915000\n", + "epoch [1606] L = 27.888501, acc = 0.915000\n", + "epoch [1607] L = 27.868018, acc = 0.915000\n", + "epoch [1608] L = 27.847555, acc = 0.915000\n", + "epoch [1609] L = 27.827113, acc = 0.915000\n", + "epoch [1610] L = 27.806692, acc = 0.915000\n", + "epoch [1611] L = 27.786292, acc = 0.915000\n", + "epoch [1612] L = 27.765913, acc = 0.915000\n", + "epoch [1613] L = 27.745555, acc = 0.915000\n", + "epoch [1614] L = 27.725218, acc = 0.915000\n", + "epoch [1615] L = 27.704902, acc = 0.915000\n", + "epoch [1616] L = 27.684607, acc = 0.915000\n", + "epoch [1617] L = 27.664334, acc = 0.915000\n", + "epoch [1618] L = 27.644082, acc = 0.915000\n", + "epoch [1619] L = 27.623851, acc = 0.915000\n", + "epoch [1620] L = 27.603642, acc = 0.915000\n", + "epoch [1621] L = 27.583455, acc = 0.915000\n", + "epoch [1622] L = 27.563288, acc = 0.915000\n", + "epoch [1623] L = 27.543144, acc = 0.915000\n", + "epoch [1624] L = 27.523021, acc = 0.915000\n", + "epoch [1625] L = 27.502920, acc = 0.915000\n", + "epoch [1626] L = 27.482840, acc = 0.915000\n", + "epoch [1627] L = 27.462783, acc = 0.915000\n", + "epoch [1628] L = 27.442747, acc = 0.915000\n", + "epoch [1629] L = 27.422733, acc = 0.915000\n", + "epoch [1630] L = 27.402741, acc = 0.915000\n", + "epoch [1631] L = 27.382770, acc = 0.915000\n", + "epoch [1632] L = 27.362822, acc = 0.915000\n", + "epoch [1633] L = 27.342896, acc = 0.915000\n", + "epoch [1634] L = 27.322992, acc = 0.915000\n", + "epoch [1635] L = 27.303110, acc = 0.915000\n", + "epoch [1636] L = 27.283251, acc = 0.915000\n", + "epoch [1637] L = 27.263413, acc = 0.915000\n", + "epoch [1638] L = 27.243598, acc = 0.915000\n", + "epoch [1639] L = 27.223805, acc = 0.915000\n", + "epoch [1640] L = 27.204034, acc = 0.920000\n", + "epoch [1641] L = 27.184286, acc = 0.920000\n", + "epoch [1642] L = 27.164560, acc = 0.920000\n", + "epoch [1643] L = 27.144857, acc = 0.920000\n", + "epoch [1644] L = 27.125176, acc = 0.920000\n", + "epoch [1645] L = 27.105518, acc = 0.920000\n", + "epoch [1646] L = 27.085882, acc = 0.920000\n", + "epoch [1647] L = 27.066268, acc = 0.920000\n", + "epoch [1648] L = 27.046678, acc = 0.920000\n", + "epoch [1649] L = 27.027110, acc = 0.920000\n", + "epoch [1650] L = 27.007564, acc = 0.920000\n", + "epoch [1651] L = 26.988042, acc = 0.920000\n", + "epoch [1652] L = 26.968542, acc = 0.920000\n", + "epoch [1653] L = 26.949064, acc = 0.920000\n", + "epoch [1654] L = 26.929610, acc = 0.920000\n", + "epoch [1655] L = 26.910178, acc = 0.925000\n", + "epoch [1656] L = 26.890770, acc = 0.925000\n", + "epoch [1657] L = 26.871384, acc = 0.925000\n", + "epoch [1658] L = 26.852021, acc = 0.925000\n", + "epoch [1659] L = 26.832681, acc = 0.925000\n", + "epoch [1660] L = 26.813364, acc = 0.925000\n", + "epoch [1661] L = 26.794070, acc = 0.925000\n", + "epoch [1662] L = 26.774798, acc = 0.925000\n", + "epoch [1663] L = 26.755550, acc = 0.925000\n", + "epoch [1664] L = 26.736325, acc = 0.925000\n", + "epoch [1665] L = 26.717123, acc = 0.925000\n", + "epoch [1666] L = 26.697944, acc = 0.925000\n", + "epoch [1667] L = 26.678789, acc = 0.925000\n", + "epoch [1668] L = 26.659656, acc = 0.925000\n", + "epoch [1669] L = 26.640547, acc = 0.925000\n", + "epoch [1670] L = 26.621460, acc = 0.930000\n", + "epoch [1671] L = 26.602397, acc = 0.930000\n", + "epoch [1672] L = 26.583358, acc = 0.930000\n", + "epoch [1673] L = 26.564341, acc = 0.930000\n", + "epoch [1674] L = 26.545348, acc = 0.930000\n", + "epoch [1675] L = 26.526377, acc = 0.930000\n", + "epoch [1676] L = 26.507431, acc = 0.930000\n", + "epoch [1677] L = 26.488507, acc = 0.930000\n", + "epoch [1678] L = 26.469607, acc = 0.930000\n", + "epoch [1679] L = 26.450730, acc = 0.930000\n", + "epoch [1680] L = 26.431877, acc = 0.930000\n", + "epoch [1681] L = 26.413047, acc = 0.930000\n", + "epoch [1682] L = 26.394240, acc = 0.930000\n", + "epoch [1683] L = 26.375457, acc = 0.930000\n", + "epoch [1684] L = 26.356697, acc = 0.930000\n", + "epoch [1685] L = 26.337960, acc = 0.930000\n", + "epoch [1686] L = 26.319247, acc = 0.930000\n", + "epoch [1687] L = 26.300558, acc = 0.930000\n", + "epoch [1688] L = 26.281891, acc = 0.930000\n", + "epoch [1689] L = 26.263249, acc = 0.930000\n", + "epoch [1690] L = 26.244630, acc = 0.930000\n", + "epoch [1691] L = 26.226034, acc = 0.930000\n", + "epoch [1692] L = 26.207462, acc = 0.930000\n", + "epoch [1693] L = 26.188913, acc = 0.930000\n", + "epoch [1694] L = 26.170388, acc = 0.930000\n", + "epoch [1695] L = 26.151886, acc = 0.930000\n", + "epoch [1696] L = 26.133408, acc = 0.930000\n", + "epoch [1697] L = 26.114954, acc = 0.930000\n", + "epoch [1698] L = 26.096523, acc = 0.930000\n", + "epoch [1699] L = 26.078115, acc = 0.930000\n", + "epoch [1700] L = 26.059731, acc = 0.930000\n", + "epoch [1701] L = 26.041371, acc = 0.930000\n", + "epoch [1702] L = 26.023034, acc = 0.930000\n", + "epoch [1703] L = 26.004721, acc = 0.930000\n", + "epoch [1704] L = 25.986432, acc = 0.930000\n", + "epoch [1705] L = 25.968166, acc = 0.930000\n", + "epoch [1706] L = 25.949924, acc = 0.930000\n", + "epoch [1707] L = 25.931705, acc = 0.930000\n", + "epoch [1708] L = 25.913510, acc = 0.930000\n", + "epoch [1709] L = 25.895338, acc = 0.930000\n", + "epoch [1710] L = 25.877190, acc = 0.930000\n", + "epoch [1711] L = 25.859066, acc = 0.930000\n", + "epoch [1712] L = 25.840965, acc = 0.930000\n", + "epoch [1713] L = 25.822888, acc = 0.930000\n", + "epoch [1714] L = 25.804835, acc = 0.930000\n", + "epoch [1715] L = 25.786805, acc = 0.930000\n", + "epoch [1716] L = 25.768799, acc = 0.930000\n", + "epoch [1717] L = 25.750816, acc = 0.930000\n", + "epoch [1718] L = 25.732857, acc = 0.930000\n", + "epoch [1719] L = 25.714922, acc = 0.930000\n", + "epoch [1720] L = 25.697010, acc = 0.930000\n", + "epoch [1721] L = 25.679122, acc = 0.930000\n", + "epoch [1722] L = 25.661258, acc = 0.930000\n", + "epoch [1723] L = 25.643417, acc = 0.930000\n", + "epoch [1724] L = 25.625599, acc = 0.930000\n", + "epoch [1725] L = 25.607806, acc = 0.930000\n", + "epoch [1726] L = 25.590036, acc = 0.930000\n", + "epoch [1727] L = 25.572289, acc = 0.930000\n", + "epoch [1728] L = 25.554567, acc = 0.930000\n", + "epoch [1729] L = 25.536867, acc = 0.930000\n", + "epoch [1730] L = 25.519192, acc = 0.930000\n", + "epoch [1731] L = 25.501540, acc = 0.930000\n", + "epoch [1732] L = 25.483911, acc = 0.930000\n", + "epoch [1733] L = 25.466306, acc = 0.930000\n", + "epoch [1734] L = 25.448725, acc = 0.930000\n", + "epoch [1735] L = 25.431167, acc = 0.930000\n", + "epoch [1736] L = 25.413633, acc = 0.930000\n", + "epoch [1737] L = 25.396122, acc = 0.930000\n", + "epoch [1738] L = 25.378635, acc = 0.930000\n", + "epoch [1739] L = 25.361172, acc = 0.930000\n", + "epoch [1740] L = 25.343732, acc = 0.930000\n", + "epoch [1741] L = 25.326315, acc = 0.930000\n", + "epoch [1742] L = 25.308923, acc = 0.930000\n", + "epoch [1743] L = 25.291553, acc = 0.930000\n", + "epoch [1744] L = 25.274207, acc = 0.930000\n", + "epoch [1745] L = 25.256885, acc = 0.930000\n", + "epoch [1746] L = 25.239586, acc = 0.930000\n", + "epoch [1747] L = 25.222310, acc = 0.930000\n", + "epoch [1748] L = 25.205059, acc = 0.930000\n", + "epoch [1749] L = 25.187830, acc = 0.930000\n", + "epoch [1750] L = 25.170625, acc = 0.930000\n", + "epoch [1751] L = 25.153443, acc = 0.930000\n", + "epoch [1752] L = 25.136285, acc = 0.930000\n", + "epoch [1753] L = 25.119151, acc = 0.930000\n", + "epoch [1754] L = 25.102039, acc = 0.930000\n", + "epoch [1755] L = 25.084951, acc = 0.930000\n", + "epoch [1756] L = 25.067887, acc = 0.930000\n", + "epoch [1757] L = 25.050846, acc = 0.930000\n", + "epoch [1758] L = 25.033828, acc = 0.930000\n", + "epoch [1759] L = 25.016833, acc = 0.930000\n", + "epoch [1760] L = 24.999862, acc = 0.930000\n", + "epoch [1761] L = 24.982915, acc = 0.930000\n", + "epoch [1762] L = 24.965990, acc = 0.930000\n", + "epoch [1763] L = 24.949089, acc = 0.930000\n", + "epoch [1764] L = 24.932211, acc = 0.930000\n", + "epoch [1765] L = 24.915357, acc = 0.930000\n", + "epoch [1766] L = 24.898526, acc = 0.930000\n", + "epoch [1767] L = 24.881718, acc = 0.930000\n", + "epoch [1768] L = 24.864933, acc = 0.930000\n", + "epoch [1769] L = 24.848171, acc = 0.930000\n", + "epoch [1770] L = 24.831433, acc = 0.930000\n", + "epoch [1771] L = 24.814718, acc = 0.930000\n", + "epoch [1772] L = 24.798026, acc = 0.930000\n", + "epoch [1773] L = 24.781357, acc = 0.930000\n", + "epoch [1774] L = 24.764712, acc = 0.930000\n", + "epoch [1775] L = 24.748089, acc = 0.930000\n", + "epoch [1776] L = 24.731490, acc = 0.930000\n", + "epoch [1777] L = 24.714913, acc = 0.930000\n", + "epoch [1778] L = 24.698360, acc = 0.930000\n", + "epoch [1779] L = 24.681830, acc = 0.930000\n", + "epoch [1780] L = 24.665323, acc = 0.930000\n", + "epoch [1781] L = 24.648839, acc = 0.930000\n", + "epoch [1782] L = 24.632378, acc = 0.930000\n", + "epoch [1783] L = 24.615940, acc = 0.930000\n", + "epoch [1784] L = 24.599525, acc = 0.930000\n", + "epoch [1785] L = 24.583133, acc = 0.930000\n", + "epoch [1786] L = 24.566764, acc = 0.930000\n", + "epoch [1787] L = 24.550418, acc = 0.930000\n", + "epoch [1788] L = 24.534095, acc = 0.930000\n", + "epoch [1789] L = 24.517795, acc = 0.930000\n", + "epoch [1790] L = 24.501518, acc = 0.930000\n", + "epoch [1791] L = 24.485263, acc = 0.930000\n", + "epoch [1792] L = 24.469031, acc = 0.930000\n", + "epoch [1793] L = 24.452823, acc = 0.930000\n", + "epoch [1794] L = 24.436637, acc = 0.930000\n", + "epoch [1795] L = 24.420473, acc = 0.930000\n", + "epoch [1796] L = 24.404333, acc = 0.930000\n", + "epoch [1797] L = 24.388215, acc = 0.930000\n", + "epoch [1798] L = 24.372120, acc = 0.930000\n", + "epoch [1799] L = 24.356048, acc = 0.930000\n", + "epoch [1800] L = 24.339998, acc = 0.930000\n", + "epoch [1801] L = 24.323972, acc = 0.930000\n", + "epoch [1802] L = 24.307967, acc = 0.930000\n", + "epoch [1803] L = 24.291986, acc = 0.930000\n", + "epoch [1804] L = 24.276027, acc = 0.930000\n", + "epoch [1805] L = 24.260090, acc = 0.930000\n", + "epoch [1806] L = 24.244177, acc = 0.930000\n", + "epoch [1807] L = 24.228285, acc = 0.930000\n", + "epoch [1808] L = 24.212417, acc = 0.930000\n", + "epoch [1809] L = 24.196570, acc = 0.930000\n", + "epoch [1810] L = 24.180747, acc = 0.930000\n", + "epoch [1811] L = 24.164945, acc = 0.930000\n", + "epoch [1812] L = 24.149167, acc = 0.930000\n", + "epoch [1813] L = 24.133410, acc = 0.930000\n", + "epoch [1814] L = 24.117676, acc = 0.930000\n", + "epoch [1815] L = 24.101965, acc = 0.930000\n", + "epoch [1816] L = 24.086275, acc = 0.930000\n", + "epoch [1817] L = 24.070608, acc = 0.930000\n", + "epoch [1818] L = 24.054964, acc = 0.930000\n", + "epoch [1819] L = 24.039341, acc = 0.930000\n", + "epoch [1820] L = 24.023741, acc = 0.930000\n", + "epoch [1821] L = 24.008163, acc = 0.930000\n", + "epoch [1822] L = 23.992608, acc = 0.930000\n", + "epoch [1823] L = 23.977074, acc = 0.930000\n", + "epoch [1824] L = 23.961563, acc = 0.930000\n", + "epoch [1825] L = 23.946074, acc = 0.935000\n", + "epoch [1826] L = 23.930607, acc = 0.935000\n", + "epoch [1827] L = 23.915162, acc = 0.935000\n", + "epoch [1828] L = 23.899739, acc = 0.935000\n", + "epoch [1829] L = 23.884339, acc = 0.935000\n", + "epoch [1830] L = 23.868960, acc = 0.935000\n", + "epoch [1831] L = 23.853603, acc = 0.935000\n", + "epoch [1832] L = 23.838269, acc = 0.935000\n", + "epoch [1833] L = 23.822956, acc = 0.935000\n", + "epoch [1834] L = 23.807665, acc = 0.935000\n", + "epoch [1835] L = 23.792396, acc = 0.935000\n", + "epoch [1836] L = 23.777149, acc = 0.935000\n", + "epoch [1837] L = 23.761924, acc = 0.935000\n", + "epoch [1838] L = 23.746720, acc = 0.935000\n", + "epoch [1839] L = 23.731539, acc = 0.935000\n", + "epoch [1840] L = 23.716379, acc = 0.935000\n", + "epoch [1841] L = 23.701241, acc = 0.935000\n", + "epoch [1842] L = 23.686125, acc = 0.935000\n", + "epoch [1843] L = 23.671030, acc = 0.935000\n", + "epoch [1844] L = 23.655957, acc = 0.935000\n", + "epoch [1845] L = 23.640906, acc = 0.935000\n", + "epoch [1846] L = 23.625876, acc = 0.935000\n", + "epoch [1847] L = 23.610868, acc = 0.935000\n", + "epoch [1848] L = 23.595882, acc = 0.935000\n", + "epoch [1849] L = 23.580917, acc = 0.935000\n", + "epoch [1850] L = 23.565973, acc = 0.935000\n", + "epoch [1851] L = 23.551052, acc = 0.935000\n", + "epoch [1852] L = 23.536151, acc = 0.935000\n", + "epoch [1853] L = 23.521272, acc = 0.935000\n", + "epoch [1854] L = 23.506415, acc = 0.935000\n", + "epoch [1855] L = 23.491578, acc = 0.935000\n", + "epoch [1856] L = 23.476764, acc = 0.935000\n", + "epoch [1857] L = 23.461970, acc = 0.935000\n", + "epoch [1858] L = 23.447198, acc = 0.935000\n", + "epoch [1859] L = 23.432447, acc = 0.935000\n", + "epoch [1860] L = 23.417717, acc = 0.935000\n", + "epoch [1861] L = 23.403009, acc = 0.935000\n", + "epoch [1862] L = 23.388322, acc = 0.935000\n", + "epoch [1863] L = 23.373656, acc = 0.935000\n", + "epoch [1864] L = 23.359011, acc = 0.935000\n", + "epoch [1865] L = 23.344387, acc = 0.935000\n", + "epoch [1866] L = 23.329784, acc = 0.935000\n", + "epoch [1867] L = 23.315202, acc = 0.935000\n", + "epoch [1868] L = 23.300642, acc = 0.935000\n", + "epoch [1869] L = 23.286102, acc = 0.935000\n", + "epoch [1870] L = 23.271583, acc = 0.935000\n", + "epoch [1871] L = 23.257086, acc = 0.935000\n", + "epoch [1872] L = 23.242609, acc = 0.935000\n", + "epoch [1873] L = 23.228153, acc = 0.935000\n", + "epoch [1874] L = 23.213718, acc = 0.935000\n", + "epoch [1875] L = 23.199304, acc = 0.935000\n", + "epoch [1876] L = 23.184910, acc = 0.935000\n", + "epoch [1877] L = 23.170538, acc = 0.935000\n", + "epoch [1878] L = 23.156186, acc = 0.935000\n", + "epoch [1879] L = 23.141855, acc = 0.935000\n", + "epoch [1880] L = 23.127544, acc = 0.935000\n", + "epoch [1881] L = 23.113254, acc = 0.935000\n", + "epoch [1882] L = 23.098985, acc = 0.935000\n", + "epoch [1883] L = 23.084736, acc = 0.935000\n", + "epoch [1884] L = 23.070508, acc = 0.935000\n", + "epoch [1885] L = 23.056301, acc = 0.935000\n", + "epoch [1886] L = 23.042114, acc = 0.935000\n", + "epoch [1887] L = 23.027947, acc = 0.935000\n", + "epoch [1888] L = 23.013801, acc = 0.935000\n", + "epoch [1889] L = 22.999676, acc = 0.935000\n", + "epoch [1890] L = 22.985571, acc = 0.935000\n", + "epoch [1891] L = 22.971486, acc = 0.935000\n", + "epoch [1892] L = 22.957421, acc = 0.935000\n", + "epoch [1893] L = 22.943377, acc = 0.935000\n", + "epoch [1894] L = 22.929353, acc = 0.935000\n", + "epoch [1895] L = 22.915349, acc = 0.935000\n", + "epoch [1896] L = 22.901366, acc = 0.935000\n", + "epoch [1897] L = 22.887402, acc = 0.935000\n", + "epoch [1898] L = 22.873459, acc = 0.935000\n", + "epoch [1899] L = 22.859536, acc = 0.935000\n", + "epoch [1900] L = 22.845633, acc = 0.935000\n", + "epoch [1901] L = 22.831750, acc = 0.935000\n", + "epoch [1902] L = 22.817888, acc = 0.935000\n", + "epoch [1903] L = 22.804045, acc = 0.935000\n", + "epoch [1904] L = 22.790222, acc = 0.935000\n", + "epoch [1905] L = 22.776419, acc = 0.935000\n", + "epoch [1906] L = 22.762636, acc = 0.935000\n", + "epoch [1907] L = 22.748873, acc = 0.935000\n", + "epoch [1908] L = 22.735130, acc = 0.935000\n", + "epoch [1909] L = 22.721406, acc = 0.935000\n", + "epoch [1910] L = 22.707702, acc = 0.935000\n", + "epoch [1911] L = 22.694018, acc = 0.935000\n", + "epoch [1912] L = 22.680354, acc = 0.935000\n", + "epoch [1913] L = 22.666710, acc = 0.935000\n", + "epoch [1914] L = 22.653085, acc = 0.935000\n", + "epoch [1915] L = 22.639480, acc = 0.935000\n", + "epoch [1916] L = 22.625894, acc = 0.935000\n", + "epoch [1917] L = 22.612328, acc = 0.935000\n", + "epoch [1918] L = 22.598782, acc = 0.935000\n", + "epoch [1919] L = 22.585255, acc = 0.935000\n", + "epoch [1920] L = 22.571747, acc = 0.935000\n", + "epoch [1921] L = 22.558259, acc = 0.935000\n", + "epoch [1922] L = 22.544791, acc = 0.940000\n", + "epoch [1923] L = 22.531341, acc = 0.940000\n", + "epoch [1924] L = 22.517911, acc = 0.940000\n", + "epoch [1925] L = 22.504501, acc = 0.940000\n", + "epoch [1926] L = 22.491110, acc = 0.940000\n", + "epoch [1927] L = 22.477738, acc = 0.940000\n", + "epoch [1928] L = 22.464385, acc = 0.940000\n", + "epoch [1929] L = 22.451051, acc = 0.940000\n", + "epoch [1930] L = 22.437737, acc = 0.940000\n", + "epoch [1931] L = 22.424441, acc = 0.940000\n", + "epoch [1932] L = 22.411165, acc = 0.940000\n", + "epoch [1933] L = 22.397908, acc = 0.940000\n", + "epoch [1934] L = 22.384670, acc = 0.940000\n", + "epoch [1935] L = 22.371451, acc = 0.940000\n", + "epoch [1936] L = 22.358251, acc = 0.940000\n", + "epoch [1937] L = 22.345070, acc = 0.940000\n", + "epoch [1938] L = 22.331908, acc = 0.940000\n", + "epoch [1939] L = 22.318764, acc = 0.940000\n", + "epoch [1940] L = 22.305640, acc = 0.940000\n", + "epoch [1941] L = 22.292534, acc = 0.940000\n", + "epoch [1942] L = 22.279447, acc = 0.940000\n", + "epoch [1943] L = 22.266379, acc = 0.940000\n", + "epoch [1944] L = 22.253329, acc = 0.940000\n", + "epoch [1945] L = 22.240299, acc = 0.940000\n", + "epoch [1946] L = 22.227287, acc = 0.940000\n", + "epoch [1947] L = 22.214293, acc = 0.940000\n", + "epoch [1948] L = 22.201318, acc = 0.940000\n", + "epoch [1949] L = 22.188362, acc = 0.940000\n", + "epoch [1950] L = 22.175424, acc = 0.940000\n", + "epoch [1951] L = 22.162505, acc = 0.940000\n", + "epoch [1952] L = 22.149604, acc = 0.940000\n", + "epoch [1953] L = 22.136722, acc = 0.940000\n", + "epoch [1954] L = 22.123858, acc = 0.940000\n", + "epoch [1955] L = 22.111012, acc = 0.940000\n", + "epoch [1956] L = 22.098185, acc = 0.940000\n", + "epoch [1957] L = 22.085376, acc = 0.940000\n", + "epoch [1958] L = 22.072585, acc = 0.940000\n", + "epoch [1959] L = 22.059813, acc = 0.940000\n", + "epoch [1960] L = 22.047058, acc = 0.940000\n", + "epoch [1961] L = 22.034322, acc = 0.940000\n", + "epoch [1962] L = 22.021604, acc = 0.940000\n", + "epoch [1963] L = 22.008904, acc = 0.940000\n", + "epoch [1964] L = 21.996223, acc = 0.940000\n", + "epoch [1965] L = 21.983559, acc = 0.940000\n", + "epoch [1966] L = 21.970913, acc = 0.940000\n", + "epoch [1967] L = 21.958286, acc = 0.940000\n", + "epoch [1968] L = 21.945676, acc = 0.940000\n", + "epoch [1969] L = 21.933084, acc = 0.940000\n", + "epoch [1970] L = 21.920510, acc = 0.940000\n", + "epoch [1971] L = 21.907954, acc = 0.940000\n", + "epoch [1972] L = 21.895416, acc = 0.940000\n", + "epoch [1973] L = 21.882895, acc = 0.940000\n", + "epoch [1974] L = 21.870393, acc = 0.940000\n", + "epoch [1975] L = 21.857908, acc = 0.940000\n", + "epoch [1976] L = 21.845440, acc = 0.940000\n", + "epoch [1977] L = 21.832991, acc = 0.940000\n", + "epoch [1978] L = 21.820559, acc = 0.940000\n", + "epoch [1979] L = 21.808144, acc = 0.940000\n", + "epoch [1980] L = 21.795747, acc = 0.940000\n", + "epoch [1981] L = 21.783368, acc = 0.940000\n", + "epoch [1982] L = 21.771006, acc = 0.940000\n", + "epoch [1983] L = 21.758662, acc = 0.940000\n", + "epoch [1984] L = 21.746335, acc = 0.945000\n", + "epoch [1985] L = 21.734025, acc = 0.945000\n", + "epoch [1986] L = 21.721733, acc = 0.945000\n", + "epoch [1987] L = 21.709458, acc = 0.945000\n", + "epoch [1988] L = 21.697201, acc = 0.945000\n", + "epoch [1989] L = 21.684961, acc = 0.945000\n", + "epoch [1990] L = 21.672738, acc = 0.945000\n", + "epoch [1991] L = 21.660532, acc = 0.945000\n", + "epoch [1992] L = 21.648343, acc = 0.945000\n", + "epoch [1993] L = 21.636172, acc = 0.945000\n", + "epoch [1994] L = 21.624017, acc = 0.945000\n", + "epoch [1995] L = 21.611880, acc = 0.945000\n", + "epoch [1996] L = 21.599760, acc = 0.945000\n", + "epoch [1997] L = 21.587657, acc = 0.945000\n", + "epoch [1998] L = 21.575570, acc = 0.945000\n", + "epoch [1999] L = 21.563501, acc = 0.945000\n" ] } ], "source": [ - "# FIXME: change variable name to math\n", - "\n", - "from sklearn.metrics import accuracy_score\n", - "\n", - "y_true = np.array(nn.y).astype(float)\n", "\n", "# back-propagation\n", - "def backpropagation(n, X, y):\n", + "def backpropagation(n, x, t):\n", " for i in range(n.n_epoch):\n", " # forward to calculate each node's output\n", - " forward(n, X)\n", + " forward(n, x)\n", " \n", " # print loss, accuracy\n", - " L = np.sum((n.z2 - y)**2)\n", + " L = np.sum((n.z2 - t)**2)\n", " \n", " y_pred = np.argmax(nn.z2, axis=1)\n", " acc = accuracy_score(y_true, y_pred)\n", @@ -3170,27 +2634,27 @@ " print(\"epoch [%4d] L = %f, acc = %f\" % (i, L, acc))\n", " \n", " # calc weights update\n", - " d2 = n.z2*(1-n.z2)*(y - n.z2)\n", + " d2 = n.z2*(1-n.z2)*(t - n.z2)\n", " d1 = n.z1*(1-n.z1)*(np.dot(d2, n.W2.T))\n", " \n", " # update weights\n", " n.W2 += n.epsilon * np.dot(n.z1.T, d2)\n", " n.b2 += n.epsilon * np.sum(d2, axis=0)\n", - " n.W1 += n.epsilon * np.dot(X.T, d1)\n", + " n.W1 += n.epsilon * np.dot(x.T, d1)\n", " n.b1 += n.epsilon * np.sum(d1, axis=0)\n", "\n", "nn.n_epoch = 2000\n", - "backpropagation(nn, X, t)\n" + "backpropagation(nn, x, t)\n" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] @@ -3217,11 +2681,11 @@ "# plot data\n", "y_pred = np.argmax(nn.z2, axis=1)\n", "\n", - "plt.scatter(X[:, 0], X[:, 1], c=nn.y, cmap=plt.cm.Spectral)\n", + "plt.scatter(x[:, 0], x[:, 1], c=y, cmap=plt.cm.Spectral)\n", "plt.title(\"ground truth\")\n", "plt.show()\n", "\n", - "plt.scatter(X[:, 0], X[:, 1], c=y_pred, cmap=plt.cm.Spectral)\n", + "plt.scatter(x[:, 0], x[:, 1], c=y_pred, cmap=plt.cm.Spectral)\n", "plt.title(\"predicted\")\n", "plt.show()\n" ] @@ -3235,7 +2699,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -3257,7 +2721,7 @@ " self.n_epoch = 1000 # iterative number\n", " \n", " if not nodes:\n", - " self.nodes = [2, 6, 2] # default nodes size (from input -> output)\n", + " self.nodes = [2, 8, 2] # default nodes size (from input -> output)\n", " else:\n", " self.nodes = nodes\n", " \n", @@ -3349,12 +2813,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -3382,2043 +2846,2043 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "L = 121.621107, acc = 0.500000\n", - "L = 115.928422, acc = 0.500000\n", - "L = 111.304997, acc = 0.500000\n", - "L = 107.789222, acc = 0.500000\n", - "L = 105.265297, acc = 0.500000\n", - "L = 103.533617, acc = 0.500000\n", - "L = 102.380546, acc = 0.500000\n", - "L = 101.622557, acc = 0.500000\n", - "L = 101.121698, acc = 0.500000\n", - "L = 100.782803, acc = 0.510000\n", - "L = 100.543751, acc = 0.530000\n", - "L = 100.365372, acc = 0.540000\n", - "L = 100.223492, acc = 0.520000\n", - "L = 100.103371, acc = 0.475000\n", - "L = 99.996073, acc = 0.460000\n", - "L = 99.896185, acc = 0.465000\n", - "L = 99.800411, acc = 0.465000\n", - "L = 99.706725, acc = 0.495000\n", - "L = 99.613854, acc = 0.515000\n", - "L = 99.520981, acc = 0.560000\n", - "L = 99.427551, acc = 0.585000\n", - "L = 99.333171, acc = 0.630000\n", - "L = 99.237541, acc = 0.660000\n", - "L = 99.140415, acc = 0.690000\n", - "L = 99.041582, acc = 0.705000\n", - "L = 98.940844, acc = 0.710000\n", - "L = 98.838015, acc = 0.720000\n", - "L = 98.732913, acc = 0.740000\n", - "L = 98.625357, acc = 0.745000\n", - "L = 98.515164, acc = 0.755000\n", - "L = 98.402148, acc = 0.785000\n", - "L = 98.286120, acc = 0.790000\n", - "L = 98.166887, acc = 0.800000\n", - "L = 98.044250, acc = 0.800000\n", - "L = 97.918005, acc = 0.805000\n", - "L = 97.787942, acc = 0.815000\n", - "L = 97.653845, acc = 0.830000\n", - "L = 97.515489, acc = 0.830000\n", - "L = 97.372644, acc = 0.830000\n", - "L = 97.225071, acc = 0.830000\n", - "L = 97.072523, acc = 0.830000\n", - "L = 96.914745, acc = 0.835000\n", - "L = 96.751472, acc = 0.835000\n", - "L = 96.582430, acc = 0.835000\n", - "L = 96.407335, acc = 0.835000\n", - "L = 96.225894, acc = 0.835000\n", - "L = 96.037800, acc = 0.835000\n", - "L = 95.842740, acc = 0.835000\n", - "L = 95.640384, acc = 0.835000\n", - "L = 95.430396, acc = 0.835000\n", - "L = 95.212423, acc = 0.835000\n", - "L = 94.986104, acc = 0.830000\n", - "L = 94.751064, acc = 0.830000\n", - "L = 94.506915, acc = 0.830000\n", - "L = 94.253259, acc = 0.830000\n", - "L = 93.989683, acc = 0.830000\n", - "L = 93.715765, acc = 0.830000\n", - "L = 93.431069, acc = 0.830000\n", - "L = 93.135151, acc = 0.830000\n", - "L = 92.827554, acc = 0.830000\n", - "L = 92.507814, acc = 0.830000\n", - "L = 92.175457, acc = 0.830000\n", - "L = 91.830004, acc = 0.835000\n", - "L = 91.470973, acc = 0.835000\n", - "L = 91.097875, acc = 0.835000\n", - "L = 90.710225, acc = 0.840000\n", - "L = 90.307539, acc = 0.845000\n", - "L = 89.889339, acc = 0.845000\n", - "L = 89.455160, acc = 0.845000\n", - "L = 89.004546, acc = 0.840000\n", - "L = 88.537066, acc = 0.840000\n", - "L = 88.052308, acc = 0.840000\n", - "L = 87.549895, acc = 0.840000\n", - "L = 87.029483, acc = 0.845000\n", - "L = 86.490773, acc = 0.845000\n", - "L = 85.933518, acc = 0.845000\n", - "L = 85.357526, acc = 0.845000\n", - "L = 84.762674, acc = 0.845000\n", - "L = 84.148911, acc = 0.845000\n", - "L = 83.516272, acc = 0.845000\n", - "L = 82.864878, acc = 0.845000\n", - "L = 82.194952, acc = 0.845000\n", - "L = 81.506820, acc = 0.840000\n", - "L = 80.800921, acc = 0.840000\n", - "L = 80.077810, acc = 0.840000\n", - "L = 79.338167, acc = 0.840000\n", - "L = 78.582791, acc = 0.840000\n", - "L = 77.812612, acc = 0.840000\n", - "L = 77.028680, acc = 0.840000\n", - "L = 76.232171, acc = 0.840000\n", - "L = 75.424374, acc = 0.840000\n", - "L = 74.606691, acc = 0.840000\n", - "L = 73.780620, acc = 0.840000\n", - "L = 72.947751, acc = 0.840000\n", - "L = 72.109745, acc = 0.840000\n", - "L = 71.268324, acc = 0.840000\n", - "L = 70.425252, acc = 0.840000\n", - "L = 69.582316, acc = 0.840000\n", - "L = 68.741307, acc = 0.840000\n", - "L = 67.904004, acc = 0.840000\n", - "L = 67.072151, acc = 0.840000\n", - "L = 66.247442, acc = 0.840000\n", - "L = 65.431502, acc = 0.840000\n", - "L = 64.625872, acc = 0.840000\n", - "L = 63.831996, acc = 0.840000\n", - "L = 63.051206, acc = 0.840000\n", - "L = 62.284717, acc = 0.840000\n", - "L = 61.533617, acc = 0.840000\n", - "L = 60.798864, acc = 0.840000\n", - "L = 60.081280, acc = 0.840000\n", - "L = 59.381556, acc = 0.840000\n", - "L = 58.700250, acc = 0.840000\n", - "L = 58.037794, acc = 0.840000\n", - "L = 57.394496, acc = 0.840000\n", - "L = 56.770551, acc = 0.840000\n", - "L = 56.166043, acc = 0.840000\n", - "L = 55.580959, acc = 0.840000\n", - "L = 55.015197, acc = 0.840000\n", - "L = 54.468573, acc = 0.840000\n", - "L = 53.940833, acc = 0.840000\n", - "L = 53.431659, acc = 0.840000\n", - "L = 52.940684, acc = 0.840000\n", - "L = 52.467494, acc = 0.840000\n", - "L = 52.011639, acc = 0.840000\n", - "L = 51.572642, acc = 0.840000\n", - "L = 51.150004, acc = 0.840000\n", - "L = 50.743209, acc = 0.840000\n", - "L = 50.351731, acc = 0.840000\n", - "L = 49.975042, acc = 0.840000\n", - "L = 49.612610, acc = 0.835000\n", - "L = 49.263906, acc = 0.835000\n", - "L = 48.928410, acc = 0.840000\n", - "L = 48.605606, acc = 0.840000\n", - "L = 48.294993, acc = 0.840000\n", - "L = 47.996079, acc = 0.840000\n", - "L = 47.708390, acc = 0.840000\n", - "L = 47.431462, acc = 0.840000\n", - "L = 47.164849, acc = 0.840000\n", - "L = 46.908123, acc = 0.840000\n", - "L = 46.660868, acc = 0.840000\n", - "L = 46.422687, acc = 0.840000\n", - "L = 46.193200, acc = 0.840000\n", - "L = 45.972040, acc = 0.840000\n", - "L = 45.758860, acc = 0.840000\n", - "L = 45.553325, acc = 0.840000\n", - "L = 45.355116, acc = 0.840000\n", - "L = 45.163929, acc = 0.835000\n", - "L = 44.979474, acc = 0.835000\n", - "L = 44.801473, acc = 0.835000\n", - "L = 44.629662, acc = 0.835000\n", - "L = 44.463789, acc = 0.835000\n", - "L = 44.303614, acc = 0.835000\n", - "L = 44.148907, acc = 0.835000\n", - "L = 43.999451, acc = 0.835000\n", - "L = 43.855036, acc = 0.835000\n", - "L = 43.715465, acc = 0.835000\n", - "L = 43.580546, acc = 0.835000\n", - "L = 43.450099, acc = 0.835000\n", - "L = 43.323950, acc = 0.835000\n", - "L = 43.201935, acc = 0.835000\n", - "L = 43.083894, acc = 0.835000\n", - "L = 42.969678, acc = 0.835000\n", - "L = 42.859141, acc = 0.835000\n", - "L = 42.752145, acc = 0.835000\n", - "L = 42.648557, acc = 0.835000\n", - "L = 42.548251, acc = 0.835000\n", - "L = 42.451106, acc = 0.835000\n", - "L = 42.357004, acc = 0.835000\n", - "L = 42.265834, acc = 0.835000\n", - "L = 42.177489, acc = 0.835000\n", - "L = 42.091866, acc = 0.845000\n", - "L = 42.008866, acc = 0.845000\n", - "L = 41.928395, acc = 0.845000\n", - "L = 41.850363, acc = 0.845000\n", - "L = 41.774680, acc = 0.845000\n", - "L = 41.701264, acc = 0.845000\n", - "L = 41.630034, acc = 0.845000\n", - "L = 41.560912, acc = 0.845000\n", - "L = 41.493823, acc = 0.845000\n", - "L = 41.428697, acc = 0.845000\n", - "L = 41.365463, acc = 0.845000\n", - "L = 41.304056, acc = 0.850000\n", - "L = 41.244412, acc = 0.850000\n", - "L = 41.186469, acc = 0.850000\n", - "L = 41.130168, acc = 0.850000\n", - "L = 41.075452, acc = 0.850000\n", - "L = 41.022266, acc = 0.850000\n", - "L = 40.970558, acc = 0.850000\n", - "L = 40.920276, acc = 0.850000\n", - "L = 40.871372, acc = 0.850000\n", - "L = 40.823798, acc = 0.850000\n", - "L = 40.777509, acc = 0.850000\n", - "L = 40.732461, acc = 0.855000\n", - "L = 40.688613, acc = 0.855000\n", - "L = 40.645922, acc = 0.855000\n", - "L = 40.604351, acc = 0.855000\n", - "L = 40.563861, acc = 0.855000\n", - "L = 40.524415, acc = 0.855000\n", - "L = 40.485980, acc = 0.855000\n", - "L = 40.448521, acc = 0.855000\n", - "L = 40.412004, acc = 0.855000\n", - "L = 40.376400, acc = 0.855000\n", - "L = 40.341678, acc = 0.855000\n", - "L = 40.307807, acc = 0.855000\n", - "L = 40.274761, acc = 0.855000\n", - "L = 40.242511, acc = 0.855000\n", - "L = 40.211032, acc = 0.855000\n", - "L = 40.180297, acc = 0.855000\n", - "L = 40.150284, acc = 0.855000\n", - "L = 40.120967, acc = 0.855000\n", - "L = 40.092325, acc = 0.855000\n", - "L = 40.064334, acc = 0.855000\n", - "L = 40.036975, acc = 0.855000\n", - "L = 40.010226, acc = 0.855000\n", - "L = 39.984068, acc = 0.855000\n", - "L = 39.958481, acc = 0.855000\n", - "L = 39.933446, acc = 0.855000\n", - "L = 39.908947, acc = 0.855000\n", - "L = 39.884966, acc = 0.855000\n", - "L = 39.861486, acc = 0.855000\n", - "L = 39.838490, acc = 0.855000\n", - "L = 39.815964, acc = 0.855000\n", - "L = 39.793892, acc = 0.855000\n", - "L = 39.772260, acc = 0.855000\n", - "L = 39.751053, acc = 0.855000\n", - "L = 39.730259, acc = 0.855000\n", - "L = 39.709863, acc = 0.855000\n", - "L = 39.689852, acc = 0.855000\n", - "L = 39.670216, acc = 0.855000\n", - "L = 39.650941, acc = 0.855000\n", - "L = 39.632017, acc = 0.855000\n", - "L = 39.613431, acc = 0.855000\n", - "L = 39.595173, acc = 0.855000\n", - "L = 39.577233, acc = 0.855000\n", - "L = 39.559600, acc = 0.855000\n", - "L = 39.542265, acc = 0.855000\n", - "L = 39.525218, acc = 0.855000\n", - "L = 39.508449, acc = 0.855000\n", - "L = 39.491950, acc = 0.855000\n", - "L = 39.475713, acc = 0.855000\n", - "L = 39.459727, acc = 0.855000\n", - "L = 39.443987, acc = 0.855000\n", - "L = 39.428483, acc = 0.855000\n", - "L = 39.413208, acc = 0.855000\n", - "L = 39.398154, acc = 0.855000\n", - "L = 39.383314, acc = 0.855000\n", - "L = 39.368682, acc = 0.855000\n", - "L = 39.354250, acc = 0.855000\n", - "L = 39.340012, acc = 0.855000\n", - "L = 39.325961, acc = 0.860000\n", - "L = 39.312091, acc = 0.860000\n", - "L = 39.298397, acc = 0.860000\n", - "L = 39.284872, acc = 0.860000\n", - "L = 39.271510, acc = 0.860000\n", - "L = 39.258306, acc = 0.860000\n", - "L = 39.245255, acc = 0.860000\n", - "L = 39.232351, acc = 0.860000\n", - "L = 39.219590, acc = 0.860000\n", - "L = 39.206966, acc = 0.860000\n", - "L = 39.194474, acc = 0.860000\n", - "L = 39.182111, acc = 0.860000\n", - "L = 39.169870, acc = 0.860000\n", - "L = 39.157749, acc = 0.860000\n", - "L = 39.145742, acc = 0.860000\n", - "L = 39.133846, acc = 0.850000\n", - "L = 39.122056, acc = 0.850000\n", - "L = 39.110369, acc = 0.850000\n", - "L = 39.098780, acc = 0.850000\n", - "L = 39.087286, acc = 0.850000\n", - "L = 39.075884, acc = 0.850000\n", - "L = 39.064569, acc = 0.850000\n", - "L = 39.053338, acc = 0.850000\n", - "L = 39.042188, acc = 0.850000\n", - "L = 39.031116, acc = 0.850000\n", - "L = 39.020118, acc = 0.850000\n", - "L = 39.009191, acc = 0.850000\n", - "L = 38.998332, acc = 0.850000\n", - "L = 38.987539, acc = 0.850000\n", - "L = 38.976808, acc = 0.850000\n", - "L = 38.966136, acc = 0.850000\n", - "L = 38.955522, acc = 0.850000\n", - "L = 38.944961, acc = 0.850000\n", - "L = 38.934453, acc = 0.850000\n", - "L = 38.923993, acc = 0.855000\n", - "L = 38.913579, acc = 0.855000\n", - "L = 38.903210, acc = 0.855000\n", - "L = 38.892883, acc = 0.855000\n", - "L = 38.882595, acc = 0.855000\n", - "L = 38.872344, acc = 0.855000\n", - "L = 38.862129, acc = 0.855000\n", - "L = 38.851946, acc = 0.855000\n", - "L = 38.841794, acc = 0.855000\n", - "L = 38.831671, acc = 0.855000\n", - "L = 38.821574, acc = 0.855000\n", - "L = 38.811503, acc = 0.855000\n", - "L = 38.801454, acc = 0.855000\n", - "L = 38.791426, acc = 0.855000\n", - "L = 38.781418, acc = 0.855000\n", - "L = 38.771427, acc = 0.855000\n", - "L = 38.761452, acc = 0.855000\n", - "L = 38.751491, acc = 0.855000\n", - "L = 38.741542, acc = 0.855000\n", - "L = 38.731604, acc = 0.855000\n", - "L = 38.721676, acc = 0.855000\n", - "L = 38.711755, acc = 0.855000\n", - "L = 38.701840, acc = 0.855000\n", - "L = 38.691929, acc = 0.855000\n", - "L = 38.682022, acc = 0.855000\n", - "L = 38.672117, acc = 0.855000\n", - "L = 38.662212, acc = 0.855000\n", - "L = 38.652306, acc = 0.855000\n", - "L = 38.642397, acc = 0.855000\n", - "L = 38.632485, acc = 0.855000\n", - "L = 38.622568, acc = 0.855000\n", - "L = 38.612645, acc = 0.855000\n", - "L = 38.602715, acc = 0.855000\n", - "L = 38.592775, acc = 0.855000\n", - "L = 38.582826, acc = 0.855000\n", - "L = 38.572866, acc = 0.855000\n", - "L = 38.562894, acc = 0.855000\n", - "L = 38.552908, acc = 0.855000\n", - "L = 38.542908, acc = 0.855000\n", - "L = 38.532892, acc = 0.855000\n", - "L = 38.522860, acc = 0.855000\n", - "L = 38.512811, acc = 0.855000\n", - "L = 38.502742, acc = 0.855000\n", - "L = 38.492655, acc = 0.855000\n", - "L = 38.482546, acc = 0.855000\n", - "L = 38.472416, acc = 0.855000\n", - "L = 38.462263, acc = 0.855000\n", - "L = 38.452087, acc = 0.855000\n", - "L = 38.441886, acc = 0.855000\n", - "L = 38.431660, acc = 0.855000\n", - "L = 38.421407, acc = 0.855000\n", - "L = 38.411128, acc = 0.855000\n", - "L = 38.400820, acc = 0.855000\n", - "L = 38.390483, acc = 0.855000\n", - "L = 38.380116, acc = 0.855000\n", - "L = 38.369719, acc = 0.855000\n", - "L = 38.359290, acc = 0.855000\n", - "L = 38.348829, acc = 0.855000\n", - "L = 38.338334, acc = 0.855000\n", - "L = 38.327806, acc = 0.855000\n", - "L = 38.317242, acc = 0.855000\n", - "L = 38.306643, acc = 0.855000\n", - "L = 38.296008, acc = 0.855000\n", - "L = 38.285335, acc = 0.855000\n", - "L = 38.274625, acc = 0.855000\n", - "L = 38.263875, acc = 0.855000\n", - "L = 38.253086, acc = 0.855000\n", - "L = 38.242257, acc = 0.855000\n", - "L = 38.231387, acc = 0.855000\n", - "L = 38.220475, acc = 0.855000\n", - "L = 38.209520, acc = 0.855000\n", - "L = 38.198523, acc = 0.855000\n", - "L = 38.187481, acc = 0.855000\n", - "L = 38.176394, acc = 0.855000\n", - "L = 38.165262, acc = 0.855000\n", - "L = 38.154084, acc = 0.855000\n", - "L = 38.142859, acc = 0.855000\n", - "L = 38.131586, acc = 0.855000\n", - "L = 38.120265, acc = 0.855000\n", - "L = 38.108895, acc = 0.855000\n", - "L = 38.097475, acc = 0.855000\n", - "L = 38.086004, acc = 0.855000\n", - "L = 38.074483, acc = 0.855000\n", - "L = 38.062909, acc = 0.855000\n", - "L = 38.051283, acc = 0.855000\n", - "L = 38.039603, acc = 0.855000\n", - "L = 38.027870, acc = 0.855000\n", - "L = 38.016082, acc = 0.855000\n", - "L = 38.004238, acc = 0.855000\n", - "L = 37.992338, acc = 0.860000\n", - "L = 37.980381, acc = 0.860000\n", - "L = 37.968367, acc = 0.860000\n", - "L = 37.956295, acc = 0.860000\n", - "L = 37.944163, acc = 0.860000\n", - "L = 37.931972, acc = 0.860000\n", - "L = 37.919720, acc = 0.860000\n", - "L = 37.907408, acc = 0.860000\n", - "L = 37.895033, acc = 0.860000\n", - "L = 37.882596, acc = 0.860000\n", - "L = 37.870096, acc = 0.860000\n", - "L = 37.857532, acc = 0.860000\n", - "L = 37.844903, acc = 0.860000\n", - "L = 37.832209, acc = 0.860000\n", - "L = 37.819448, acc = 0.860000\n", - "L = 37.806621, acc = 0.860000\n", - "L = 37.793727, acc = 0.860000\n", - "L = 37.780763, acc = 0.860000\n", - "L = 37.767731, acc = 0.860000\n", - "L = 37.754630, acc = 0.860000\n", - "L = 37.741457, acc = 0.860000\n", - "L = 37.728214, acc = 0.865000\n", - "L = 37.714898, acc = 0.865000\n", - "L = 37.701510, acc = 0.865000\n", - "L = 37.688048, acc = 0.865000\n", - "L = 37.674512, acc = 0.865000\n", - "L = 37.660902, acc = 0.865000\n", - "L = 37.647215, acc = 0.865000\n", - "L = 37.633452, acc = 0.865000\n" + "L = 120.450672, acc = 0.500000\n", + "L = 114.599131, acc = 0.500000\n", + "L = 109.796619, acc = 0.500000\n", + "L = 106.133081, acc = 0.500000\n", + "L = 103.520770, acc = 0.500000\n", + "L = 101.758582, acc = 0.500000\n", + "L = 100.614302, acc = 0.500000\n", + "L = 99.883624, acc = 0.500000\n", + "L = 99.413454, acc = 0.500000\n", + "L = 99.100287, acc = 0.500000\n", + "L = 98.878649, acc = 0.500000\n", + "L = 98.708861, acc = 0.500000\n", + "L = 98.567524, acc = 0.525000\n", + "L = 98.441059, acc = 0.720000\n", + "L = 98.321651, acc = 0.765000\n", + "L = 98.204802, acc = 0.745000\n", + "L = 98.087896, acc = 0.745000\n", + "L = 97.969379, acc = 0.725000\n", + "L = 97.848284, acc = 0.735000\n", + "L = 97.723969, acc = 0.750000\n", + "L = 97.595969, acc = 0.755000\n", + "L = 97.463912, acc = 0.765000\n", + "L = 97.327472, acc = 0.765000\n", + "L = 97.186346, acc = 0.770000\n", + "L = 97.040234, acc = 0.770000\n", + "L = 96.888838, acc = 0.770000\n", + "L = 96.731850, acc = 0.770000\n", + "L = 96.568956, acc = 0.770000\n", + "L = 96.399828, acc = 0.770000\n", + "L = 96.224128, acc = 0.770000\n", + "L = 96.041502, acc = 0.770000\n", + "L = 95.851585, acc = 0.770000\n", + "L = 95.653996, acc = 0.770000\n", + "L = 95.448342, acc = 0.770000\n", + "L = 95.234212, acc = 0.770000\n", + "L = 95.011183, acc = 0.770000\n", + "L = 94.778815, acc = 0.770000\n", + "L = 94.536655, acc = 0.775000\n", + "L = 94.284235, acc = 0.775000\n", + "L = 94.021071, acc = 0.775000\n", + "L = 93.746669, acc = 0.775000\n", + "L = 93.460519, acc = 0.775000\n", + "L = 93.162101, acc = 0.780000\n", + "L = 92.850884, acc = 0.780000\n", + "L = 92.526330, acc = 0.780000\n", + "L = 92.187891, acc = 0.780000\n", + "L = 91.835017, acc = 0.780000\n", + "L = 91.467156, acc = 0.780000\n", + "L = 91.083757, acc = 0.780000\n", + "L = 90.684274, acc = 0.785000\n", + "L = 90.268170, acc = 0.785000\n", + "L = 89.834924, acc = 0.785000\n", + "L = 89.384033, acc = 0.785000\n", + "L = 88.915021, acc = 0.790000\n", + "L = 88.427441, acc = 0.790000\n", + "L = 87.920889, acc = 0.790000\n", + "L = 87.395006, acc = 0.790000\n", + "L = 86.849489, acc = 0.790000\n", + "L = 86.284099, acc = 0.790000\n", + "L = 85.698671, acc = 0.790000\n", + "L = 85.093122, acc = 0.785000\n", + "L = 84.467464, acc = 0.785000\n", + "L = 83.821809, acc = 0.785000\n", + "L = 83.156381, acc = 0.785000\n", + "L = 82.471524, acc = 0.785000\n", + "L = 81.767711, acc = 0.790000\n", + "L = 81.045549, acc = 0.795000\n", + "L = 80.305784, acc = 0.805000\n", + "L = 79.549307, acc = 0.805000\n", + "L = 78.777153, acc = 0.805000\n", + "L = 77.990498, acc = 0.805000\n", + "L = 77.190660, acc = 0.800000\n", + "L = 76.379088, acc = 0.800000\n", + "L = 75.557353, acc = 0.800000\n", + "L = 74.727136, acc = 0.805000\n", + "L = 73.890211, acc = 0.805000\n", + "L = 73.048431, acc = 0.805000\n", + "L = 72.203701, acc = 0.810000\n", + "L = 71.357961, acc = 0.810000\n", + "L = 70.513161, acc = 0.810000\n", + "L = 69.671238, acc = 0.810000\n", + "L = 68.834091, acc = 0.810000\n", + "L = 68.003559, acc = 0.810000\n", + "L = 67.181400, acc = 0.810000\n", + "L = 66.369273, acc = 0.810000\n", + "L = 65.568719, acc = 0.810000\n", + "L = 64.781148, acc = 0.810000\n", + "L = 64.007829, acc = 0.810000\n", + "L = 63.249883, acc = 0.810000\n", + "L = 62.508277, acc = 0.810000\n", + "L = 61.783827, acc = 0.810000\n", + "L = 61.077193, acc = 0.810000\n", + "L = 60.388892, acc = 0.810000\n", + "L = 59.719297, acc = 0.810000\n", + "L = 59.068651, acc = 0.810000\n", + "L = 58.437071, acc = 0.810000\n", + "L = 57.824564, acc = 0.815000\n", + "L = 57.231037, acc = 0.815000\n", + "L = 56.656306, acc = 0.815000\n", + "L = 56.100110, acc = 0.815000\n", + "L = 55.562122, acc = 0.815000\n", + "L = 55.041959, acc = 0.815000\n", + "L = 54.539192, acc = 0.815000\n", + "L = 54.053357, acc = 0.815000\n", + "L = 53.583961, acc = 0.815000\n", + "L = 53.130494, acc = 0.820000\n", + "L = 52.692430, acc = 0.825000\n", + "L = 52.269238, acc = 0.825000\n", + "L = 51.860385, acc = 0.825000\n", + "L = 51.465342, acc = 0.825000\n", + "L = 51.083586, acc = 0.830000\n", + "L = 50.714603, acc = 0.830000\n", + "L = 50.357894, acc = 0.830000\n", + "L = 50.012971, acc = 0.830000\n", + "L = 49.679365, acc = 0.830000\n", + "L = 49.356622, acc = 0.830000\n", + "L = 49.044308, acc = 0.830000\n", + "L = 48.742004, acc = 0.830000\n", + "L = 48.449313, acc = 0.830000\n", + "L = 48.165855, acc = 0.830000\n", + "L = 47.891266, acc = 0.830000\n", + "L = 47.625203, acc = 0.830000\n", + "L = 47.367339, acc = 0.830000\n", + "L = 47.117363, acc = 0.830000\n", + "L = 46.874981, acc = 0.830000\n", + "L = 46.639915, acc = 0.830000\n", + "L = 46.411899, acc = 0.830000\n", + "L = 46.190683, acc = 0.830000\n", + "L = 45.976030, acc = 0.830000\n", + "L = 45.767714, acc = 0.835000\n", + "L = 45.565522, acc = 0.835000\n", + "L = 45.369250, acc = 0.835000\n", + "L = 45.178706, acc = 0.835000\n", + "L = 44.993707, acc = 0.835000\n", + "L = 44.814077, acc = 0.835000\n", + "L = 44.639650, acc = 0.835000\n", + "L = 44.470267, acc = 0.835000\n", + "L = 44.305775, acc = 0.835000\n", + "L = 44.146029, acc = 0.835000\n", + "L = 43.990888, acc = 0.835000\n", + "L = 43.840218, acc = 0.840000\n", + "L = 43.693890, acc = 0.835000\n", + "L = 43.551779, acc = 0.835000\n", + "L = 43.413764, acc = 0.835000\n", + "L = 43.279728, acc = 0.835000\n", + "L = 43.149560, acc = 0.835000\n", + "L = 43.023150, acc = 0.835000\n", + "L = 42.900392, acc = 0.835000\n", + "L = 42.781182, acc = 0.835000\n", + "L = 42.665421, acc = 0.835000\n", + "L = 42.553011, acc = 0.835000\n", + "L = 42.443857, acc = 0.840000\n", + "L = 42.337866, acc = 0.835000\n", + "L = 42.234948, acc = 0.835000\n", + "L = 42.135015, acc = 0.835000\n", + "L = 42.037981, acc = 0.835000\n", + "L = 41.943762, acc = 0.835000\n", + "L = 41.852275, acc = 0.835000\n", + "L = 41.763440, acc = 0.835000\n", + "L = 41.677180, acc = 0.835000\n", + "L = 41.593417, acc = 0.835000\n", + "L = 41.512078, acc = 0.835000\n", + "L = 41.433089, acc = 0.835000\n", + "L = 41.356378, acc = 0.835000\n", + "L = 41.281878, acc = 0.835000\n", + "L = 41.209519, acc = 0.835000\n", + "L = 41.139235, acc = 0.835000\n", + "L = 41.070963, acc = 0.835000\n", + "L = 41.004640, acc = 0.835000\n", + "L = 40.940203, acc = 0.835000\n", + "L = 40.877595, acc = 0.835000\n", + "L = 40.816756, acc = 0.835000\n", + "L = 40.757630, acc = 0.835000\n", + "L = 40.700162, acc = 0.840000\n", + "L = 40.644300, acc = 0.840000\n", + "L = 40.589990, acc = 0.840000\n", + "L = 40.537183, acc = 0.840000\n", + "L = 40.485829, acc = 0.840000\n", + "L = 40.435881, acc = 0.840000\n", + "L = 40.387293, acc = 0.840000\n", + "L = 40.340020, acc = 0.840000\n", + "L = 40.294018, acc = 0.850000\n", + "L = 40.249246, acc = 0.850000\n", + "L = 40.205663, acc = 0.855000\n", + "L = 40.163228, acc = 0.855000\n", + "L = 40.121904, acc = 0.855000\n", + "L = 40.081653, acc = 0.855000\n", + "L = 40.042440, acc = 0.855000\n", + "L = 40.004229, acc = 0.855000\n", + "L = 39.966988, acc = 0.855000\n", + "L = 39.930682, acc = 0.855000\n", + "L = 39.895282, acc = 0.855000\n", + "L = 39.860756, acc = 0.855000\n", + "L = 39.827075, acc = 0.855000\n", + "L = 39.794209, acc = 0.855000\n", + "L = 39.762133, acc = 0.855000\n", + "L = 39.730818, acc = 0.855000\n", + "L = 39.700240, acc = 0.855000\n", + "L = 39.670372, acc = 0.855000\n", + "L = 39.641192, acc = 0.855000\n", + "L = 39.612675, acc = 0.855000\n", + "L = 39.584799, acc = 0.855000\n", + "L = 39.557543, acc = 0.855000\n", + "L = 39.530885, acc = 0.855000\n", + "L = 39.504805, acc = 0.855000\n", + "L = 39.479283, acc = 0.855000\n", + "L = 39.454300, acc = 0.855000\n", + "L = 39.429838, acc = 0.855000\n", + "L = 39.405880, acc = 0.855000\n", + "L = 39.382407, acc = 0.855000\n", + "L = 39.359404, acc = 0.855000\n", + "L = 39.336854, acc = 0.855000\n", + "L = 39.314741, acc = 0.855000\n", + "L = 39.293052, acc = 0.855000\n", + "L = 39.271771, acc = 0.855000\n", + "L = 39.250884, acc = 0.855000\n", + "L = 39.230377, acc = 0.855000\n", + "L = 39.210239, acc = 0.855000\n", + "L = 39.190455, acc = 0.855000\n", + "L = 39.171014, acc = 0.855000\n", + "L = 39.151903, acc = 0.855000\n", + "L = 39.133112, acc = 0.855000\n", + "L = 39.114629, acc = 0.855000\n", + "L = 39.096444, acc = 0.855000\n", + "L = 39.078546, acc = 0.855000\n", + "L = 39.060924, acc = 0.855000\n", + "L = 39.043570, acc = 0.855000\n", + "L = 39.026473, acc = 0.855000\n", + "L = 39.009625, acc = 0.855000\n", + "L = 38.993017, acc = 0.855000\n", + "L = 38.976640, acc = 0.855000\n", + "L = 38.960486, acc = 0.855000\n", + "L = 38.944547, acc = 0.855000\n", + "L = 38.928815, acc = 0.855000\n", + "L = 38.913282, acc = 0.855000\n", + "L = 38.897942, acc = 0.855000\n", + "L = 38.882786, acc = 0.855000\n", + "L = 38.867809, acc = 0.855000\n", + "L = 38.853004, acc = 0.855000\n", + "L = 38.838363, acc = 0.855000\n", + "L = 38.823882, acc = 0.860000\n", + "L = 38.809553, acc = 0.860000\n", + "L = 38.795371, acc = 0.860000\n", + "L = 38.781330, acc = 0.860000\n", + "L = 38.767424, acc = 0.860000\n", + "L = 38.753649, acc = 0.860000\n", + "L = 38.739999, acc = 0.860000\n", + "L = 38.726469, acc = 0.860000\n", + "L = 38.713054, acc = 0.860000\n", + "L = 38.699749, acc = 0.860000\n", + "L = 38.686549, acc = 0.860000\n", + "L = 38.673451, acc = 0.860000\n", + "L = 38.660449, acc = 0.860000\n", + "L = 38.647539, acc = 0.860000\n", + "L = 38.634718, acc = 0.860000\n", + "L = 38.621981, acc = 0.860000\n", + "L = 38.609325, acc = 0.860000\n", + "L = 38.596744, acc = 0.860000\n", + "L = 38.584237, acc = 0.860000\n", + "L = 38.571799, acc = 0.860000\n", + "L = 38.559427, acc = 0.860000\n", + "L = 38.547117, acc = 0.860000\n", + "L = 38.534866, acc = 0.860000\n", + "L = 38.522671, acc = 0.860000\n", + "L = 38.510529, acc = 0.860000\n", + "L = 38.498436, acc = 0.860000\n", + "L = 38.486390, acc = 0.860000\n", + "L = 38.474388, acc = 0.860000\n", + "L = 38.462427, acc = 0.860000\n", + "L = 38.450505, acc = 0.860000\n", + "L = 38.438617, acc = 0.860000\n", + "L = 38.426763, acc = 0.860000\n", + "L = 38.414940, acc = 0.860000\n", + "L = 38.403144, acc = 0.860000\n", + "L = 38.391374, acc = 0.860000\n", + "L = 38.379627, acc = 0.860000\n", + "L = 38.367902, acc = 0.860000\n", + "L = 38.356195, acc = 0.860000\n", + "L = 38.344505, acc = 0.860000\n", + "L = 38.332829, acc = 0.860000\n", + "L = 38.321165, acc = 0.860000\n", + "L = 38.309512, acc = 0.860000\n", + "L = 38.297868, acc = 0.860000\n", + "L = 38.286229, acc = 0.860000\n", + "L = 38.274596, acc = 0.860000\n", + "L = 38.262965, acc = 0.860000\n", + "L = 38.251335, acc = 0.860000\n", + "L = 38.239704, acc = 0.860000\n", + "L = 38.228071, acc = 0.860000\n", + "L = 38.216434, acc = 0.860000\n", + "L = 38.204790, acc = 0.860000\n", + "L = 38.193139, acc = 0.860000\n", + "L = 38.181479, acc = 0.860000\n", + "L = 38.169809, acc = 0.860000\n", + "L = 38.158126, acc = 0.860000\n", + "L = 38.146430, acc = 0.860000\n", + "L = 38.134718, acc = 0.860000\n", + "L = 38.122990, acc = 0.860000\n", + "L = 38.111244, acc = 0.860000\n", + "L = 38.099479, acc = 0.860000\n", + "L = 38.087693, acc = 0.860000\n", + "L = 38.075885, acc = 0.860000\n", + "L = 38.064054, acc = 0.860000\n", + "L = 38.052198, acc = 0.860000\n", + "L = 38.040316, acc = 0.860000\n", + "L = 38.028407, acc = 0.860000\n", + "L = 38.016470, acc = 0.860000\n", + "L = 38.004503, acc = 0.860000\n", + "L = 37.992506, acc = 0.860000\n", + "L = 37.980476, acc = 0.860000\n", + "L = 37.968414, acc = 0.860000\n", + "L = 37.956317, acc = 0.860000\n", + "L = 37.944185, acc = 0.860000\n", + "L = 37.932016, acc = 0.860000\n", + "L = 37.919810, acc = 0.860000\n", + "L = 37.907565, acc = 0.865000\n", + "L = 37.895280, acc = 0.865000\n", + "L = 37.882955, acc = 0.865000\n", + "L = 37.870587, acc = 0.865000\n", + "L = 37.858177, acc = 0.865000\n", + "L = 37.845723, acc = 0.865000\n", + "L = 37.833224, acc = 0.865000\n", + "L = 37.820679, acc = 0.865000\n", + "L = 37.808086, acc = 0.865000\n", + "L = 37.795446, acc = 0.865000\n", + "L = 37.782757, acc = 0.865000\n", + "L = 37.770018, acc = 0.865000\n", + "L = 37.757228, acc = 0.865000\n", + "L = 37.744386, acc = 0.865000\n", + "L = 37.731491, acc = 0.865000\n", + "L = 37.718542, acc = 0.865000\n", + "L = 37.705538, acc = 0.865000\n", + "L = 37.692479, acc = 0.865000\n", + "L = 37.679363, acc = 0.865000\n", + "L = 37.666189, acc = 0.865000\n", + "L = 37.652956, acc = 0.865000\n", + "L = 37.639664, acc = 0.865000\n", + "L = 37.626312, acc = 0.865000\n", + "L = 37.612898, acc = 0.865000\n", + "L = 37.599422, acc = 0.865000\n", + "L = 37.585882, acc = 0.865000\n", + "L = 37.572278, acc = 0.865000\n", + "L = 37.558609, acc = 0.865000\n", + "L = 37.544874, acc = 0.865000\n", + "L = 37.531072, acc = 0.865000\n", + "L = 37.517202, acc = 0.865000\n", + "L = 37.503263, acc = 0.865000\n", + "L = 37.489255, acc = 0.865000\n", + "L = 37.475176, acc = 0.865000\n", + "L = 37.461025, acc = 0.865000\n", + "L = 37.446802, acc = 0.865000\n", + "L = 37.432505, acc = 0.865000\n", + "L = 37.418134, acc = 0.865000\n", + "L = 37.403688, acc = 0.865000\n", + "L = 37.389166, acc = 0.865000\n", + "L = 37.374566, acc = 0.865000\n", + "L = 37.359889, acc = 0.865000\n", + "L = 37.345132, acc = 0.865000\n", + "L = 37.330296, acc = 0.865000\n", + "L = 37.315379, acc = 0.865000\n", + "L = 37.300381, acc = 0.865000\n", + "L = 37.285299, acc = 0.865000\n", + "L = 37.270135, acc = 0.865000\n", + "L = 37.254886, acc = 0.865000\n", + "L = 37.239551, acc = 0.865000\n", + "L = 37.224130, acc = 0.865000\n", + "L = 37.208622, acc = 0.865000\n", + "L = 37.193026, acc = 0.865000\n", + "L = 37.177341, acc = 0.865000\n", + "L = 37.161566, acc = 0.870000\n", + "L = 37.145701, acc = 0.870000\n", + "L = 37.129743, acc = 0.870000\n", + "L = 37.113693, acc = 0.870000\n", + "L = 37.097549, acc = 0.870000\n", + "L = 37.081310, acc = 0.870000\n", + "L = 37.064976, acc = 0.870000\n", + "L = 37.048546, acc = 0.870000\n", + "L = 37.032018, acc = 0.870000\n", + "L = 37.015393, acc = 0.870000\n", + "L = 36.998668, acc = 0.870000\n", + "L = 36.981843, acc = 0.870000\n", + "L = 36.964917, acc = 0.870000\n", + "L = 36.947889, acc = 0.870000\n", + "L = 36.930758, acc = 0.870000\n", + "L = 36.913523, acc = 0.870000\n", + "L = 36.896184, acc = 0.870000\n", + "L = 36.878740, acc = 0.870000\n", + "L = 36.861189, acc = 0.870000\n", + "L = 36.843530, acc = 0.865000\n", + "L = 36.825763, acc = 0.865000\n", + "L = 36.807887, acc = 0.865000\n", + "L = 36.789901, acc = 0.865000\n", + "L = 36.771804, acc = 0.865000\n", + "L = 36.753596, acc = 0.870000\n", + "L = 36.735274, acc = 0.870000\n", + "L = 36.716838, acc = 0.870000\n", + "L = 36.698288, acc = 0.870000\n", + "L = 36.679623, acc = 0.870000\n", + "L = 36.660841, acc = 0.870000\n", + "L = 36.641942, acc = 0.870000\n", + "L = 36.622925, acc = 0.870000\n", + "L = 36.603789, acc = 0.870000\n", + "L = 36.584533, acc = 0.870000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "L = 37.619612, acc = 0.865000\n", - "L = 37.605693, acc = 0.865000\n", - "L = 37.591696, acc = 0.865000\n", - "L = 37.577620, acc = 0.865000\n", - "L = 37.563463, acc = 0.865000\n", - "L = 37.549225, acc = 0.870000\n", - "L = 37.534905, acc = 0.865000\n", - "L = 37.520503, acc = 0.865000\n", - "L = 37.506017, acc = 0.865000\n", - "L = 37.491447, acc = 0.865000\n", - "L = 37.476792, acc = 0.865000\n", - "L = 37.462052, acc = 0.865000\n", - "L = 37.447224, acc = 0.865000\n", - "L = 37.432310, acc = 0.865000\n", - "L = 37.417307, acc = 0.865000\n", - "L = 37.402215, acc = 0.865000\n", - "L = 37.387033, acc = 0.865000\n", - "L = 37.371761, acc = 0.865000\n", - "L = 37.356398, acc = 0.865000\n", - "L = 37.340942, acc = 0.865000\n", - "L = 37.325393, acc = 0.865000\n", - "L = 37.309751, acc = 0.865000\n", - "L = 37.294013, acc = 0.865000\n", - "L = 37.278181, acc = 0.865000\n", - "L = 37.262252, acc = 0.865000\n", - "L = 37.246226, acc = 0.865000\n", - "L = 37.230101, acc = 0.865000\n", - "L = 37.213879, acc = 0.865000\n", - "L = 37.197556, acc = 0.865000\n", - "L = 37.181133, acc = 0.865000\n", - "L = 37.164609, acc = 0.865000\n", - "L = 37.147983, acc = 0.865000\n", - "L = 37.131254, acc = 0.865000\n", - "L = 37.114421, acc = 0.865000\n", - "L = 37.097483, acc = 0.865000\n", - "L = 37.080440, acc = 0.865000\n", - "L = 37.063291, acc = 0.865000\n", - "L = 37.046035, acc = 0.865000\n", - "L = 37.028670, acc = 0.865000\n", - "L = 37.011197, acc = 0.865000\n", - "L = 36.993614, acc = 0.865000\n", - "L = 36.975921, acc = 0.865000\n", - "L = 36.958116, acc = 0.865000\n", - "L = 36.940199, acc = 0.865000\n", - "L = 36.922169, acc = 0.865000\n", - "L = 36.904025, acc = 0.865000\n", - "L = 36.885767, acc = 0.865000\n", - "L = 36.867393, acc = 0.870000\n", - "L = 36.848902, acc = 0.870000\n", - "L = 36.830294, acc = 0.870000\n", - "L = 36.811568, acc = 0.870000\n", - "L = 36.792724, acc = 0.870000\n", - "L = 36.773759, acc = 0.870000\n", - "L = 36.754674, acc = 0.870000\n", - "L = 36.735467, acc = 0.870000\n", - "L = 36.716138, acc = 0.870000\n", - "L = 36.696686, acc = 0.870000\n", - "L = 36.677111, acc = 0.870000\n", - "L = 36.657410, acc = 0.870000\n", - "L = 36.637584, acc = 0.870000\n", - "L = 36.617631, acc = 0.870000\n", - "L = 36.597551, acc = 0.870000\n", - "L = 36.577343, acc = 0.870000\n", - "L = 36.557006, acc = 0.870000\n", - "L = 36.536540, acc = 0.870000\n", - "L = 36.515943, acc = 0.875000\n", - "L = 36.495215, acc = 0.875000\n", - "L = 36.474354, acc = 0.875000\n", - "L = 36.453361, acc = 0.875000\n", - "L = 36.432234, acc = 0.875000\n", - "L = 36.410972, acc = 0.875000\n", - "L = 36.389576, acc = 0.875000\n", - "L = 36.368043, acc = 0.875000\n", - "L = 36.346373, acc = 0.875000\n", - "L = 36.324566, acc = 0.875000\n", - "L = 36.302620, acc = 0.875000\n", - "L = 36.280535, acc = 0.875000\n", - "L = 36.258310, acc = 0.875000\n", - "L = 36.235944, acc = 0.875000\n", - "L = 36.213437, acc = 0.875000\n", - "L = 36.190788, acc = 0.875000\n", - "L = 36.167996, acc = 0.875000\n", - "L = 36.145060, acc = 0.875000\n", - "L = 36.121980, acc = 0.875000\n", - "L = 36.098755, acc = 0.875000\n", - "L = 36.075384, acc = 0.875000\n", - "L = 36.051866, acc = 0.875000\n", - "L = 36.028201, acc = 0.875000\n", - "L = 36.004388, acc = 0.875000\n", - "L = 35.980427, acc = 0.875000\n", - "L = 35.956316, acc = 0.875000\n", - "L = 35.932055, acc = 0.875000\n", - "L = 35.907644, acc = 0.875000\n", - "L = 35.883081, acc = 0.875000\n", - "L = 35.858366, acc = 0.875000\n", - "L = 35.833499, acc = 0.875000\n", - "L = 35.808478, acc = 0.875000\n", - "L = 35.783303, acc = 0.875000\n", - "L = 35.757974, acc = 0.875000\n", - "L = 35.732489, acc = 0.875000\n", - "L = 35.706849, acc = 0.875000\n", - "L = 35.681052, acc = 0.875000\n", - "L = 35.655099, acc = 0.875000\n", - "L = 35.628988, acc = 0.875000\n", - "L = 35.602718, acc = 0.875000\n", - "L = 35.576290, acc = 0.875000\n", - "L = 35.549703, acc = 0.875000\n", - "L = 35.522956, acc = 0.875000\n", - "L = 35.496049, acc = 0.875000\n", - "L = 35.468980, acc = 0.875000\n", - "L = 35.441751, acc = 0.875000\n", - "L = 35.414359, acc = 0.875000\n", - "L = 35.386805, acc = 0.875000\n", - "L = 35.359088, acc = 0.875000\n", - "L = 35.331208, acc = 0.875000\n", - "L = 35.303164, acc = 0.875000\n", - "L = 35.274956, acc = 0.875000\n", - "L = 35.246582, acc = 0.875000\n", - "L = 35.218044, acc = 0.875000\n", - "L = 35.189340, acc = 0.875000\n", - "L = 35.160470, acc = 0.875000\n", - "L = 35.131434, acc = 0.875000\n", - "L = 35.102230, acc = 0.875000\n", - "L = 35.072860, acc = 0.875000\n", - "L = 35.043321, acc = 0.875000\n", - "L = 35.013615, acc = 0.875000\n", - "L = 34.983741, acc = 0.880000\n", - "L = 34.953697, acc = 0.880000\n", - "L = 34.923485, acc = 0.880000\n", - "L = 34.893103, acc = 0.880000\n", - "L = 34.862552, acc = 0.880000\n", - "L = 34.831831, acc = 0.880000\n", - "L = 34.800940, acc = 0.880000\n", - "L = 34.769878, acc = 0.880000\n", - "L = 34.738645, acc = 0.880000\n", - "L = 34.707242, acc = 0.880000\n", - "L = 34.675667, acc = 0.880000\n", - "L = 34.643920, acc = 0.880000\n", - "L = 34.612002, acc = 0.880000\n", - "L = 34.579912, acc = 0.880000\n", - "L = 34.547650, acc = 0.880000\n", - "L = 34.515216, acc = 0.880000\n", - "L = 34.482609, acc = 0.880000\n", - "L = 34.449830, acc = 0.880000\n", - "L = 34.416878, acc = 0.885000\n", - "L = 34.383754, acc = 0.885000\n", - "L = 34.350456, acc = 0.885000\n", - "L = 34.316985, acc = 0.885000\n", - "L = 34.283341, acc = 0.890000\n", - "L = 34.249524, acc = 0.890000\n", - "L = 34.215534, acc = 0.890000\n", - "L = 34.181370, acc = 0.890000\n", - "L = 34.147033, acc = 0.890000\n", - "L = 34.112523, acc = 0.890000\n", - "L = 34.077839, acc = 0.890000\n", - "L = 34.042982, acc = 0.890000\n", - "L = 34.007951, acc = 0.890000\n", - "L = 33.972747, acc = 0.890000\n", - "L = 33.937370, acc = 0.890000\n", - "L = 33.901819, acc = 0.890000\n", - "L = 33.866095, acc = 0.890000\n", - "L = 33.830199, acc = 0.890000\n", - "L = 33.794129, acc = 0.890000\n", - "L = 33.757886, acc = 0.890000\n", - "L = 33.721471, acc = 0.890000\n", - "L = 33.684882, acc = 0.890000\n", - "L = 33.648122, acc = 0.890000\n", - "L = 33.611189, acc = 0.890000\n", - "L = 33.574083, acc = 0.890000\n", - "L = 33.536806, acc = 0.890000\n", - "L = 33.499357, acc = 0.890000\n", - "L = 33.461737, acc = 0.895000\n", - "L = 33.423945, acc = 0.895000\n", - "L = 33.385982, acc = 0.895000\n", - "L = 33.347848, acc = 0.895000\n", - "L = 33.309543, acc = 0.895000\n", - "L = 33.271069, acc = 0.895000\n", - "L = 33.232424, acc = 0.895000\n", - "L = 33.193610, acc = 0.895000\n", - "L = 33.154626, acc = 0.895000\n", - "L = 33.115473, acc = 0.895000\n", - "L = 33.076151, acc = 0.895000\n", - "L = 33.036662, acc = 0.895000\n", - "L = 32.997004, acc = 0.895000\n", - "L = 32.957179, acc = 0.895000\n", - "L = 32.917186, acc = 0.895000\n", - "L = 32.877027, acc = 0.895000\n", - "L = 32.836701, acc = 0.895000\n", - "L = 32.796210, acc = 0.895000\n", - "L = 32.755553, acc = 0.895000\n", - "L = 32.714731, acc = 0.895000\n", - "L = 32.673745, acc = 0.895000\n", - "L = 32.632595, acc = 0.895000\n", - "L = 32.591282, acc = 0.895000\n", - "L = 32.549805, acc = 0.895000\n", - "L = 32.508166, acc = 0.895000\n", - "L = 32.466366, acc = 0.895000\n", - "L = 32.424404, acc = 0.895000\n", - "L = 32.382281, acc = 0.895000\n", - "L = 32.339998, acc = 0.895000\n", - "L = 32.297556, acc = 0.895000\n", - "L = 32.254955, acc = 0.895000\n", - "L = 32.212196, acc = 0.900000\n", - "L = 32.169279, acc = 0.900000\n", - "L = 32.126206, acc = 0.900000\n", - "L = 32.082976, acc = 0.900000\n", - "L = 32.039590, acc = 0.900000\n", - "L = 31.996050, acc = 0.900000\n", - "L = 31.952356, acc = 0.900000\n", - "L = 31.908508, acc = 0.900000\n", - "L = 31.864507, acc = 0.900000\n", - "L = 31.820355, acc = 0.900000\n", - "L = 31.776051, acc = 0.900000\n", - "L = 31.731597, acc = 0.900000\n", - "L = 31.686994, acc = 0.900000\n", - "L = 31.642241, acc = 0.900000\n", - "L = 31.597341, acc = 0.900000\n", - "L = 31.552294, acc = 0.900000\n", - "L = 31.507100, acc = 0.900000\n", - "L = 31.461761, acc = 0.900000\n", - "L = 31.416278, acc = 0.900000\n", - "L = 31.370651, acc = 0.900000\n", - "L = 31.324881, acc = 0.900000\n", - "L = 31.278969, acc = 0.900000\n", - "L = 31.232916, acc = 0.900000\n", - "L = 31.186724, acc = 0.900000\n", - "L = 31.140392, acc = 0.900000\n", - "L = 31.093922, acc = 0.900000\n", - "L = 31.047316, acc = 0.900000\n", - "L = 31.000573, acc = 0.900000\n", - "L = 30.953695, acc = 0.900000\n", - "L = 30.906683, acc = 0.900000\n", - "L = 30.859538, acc = 0.905000\n", - "L = 30.812261, acc = 0.905000\n", - "L = 30.764853, acc = 0.905000\n", - "L = 30.717315, acc = 0.905000\n", - "L = 30.669648, acc = 0.905000\n", - "L = 30.621854, acc = 0.905000\n", - "L = 30.573933, acc = 0.905000\n", - "L = 30.525886, acc = 0.910000\n", - "L = 30.477715, acc = 0.910000\n", - "L = 30.429421, acc = 0.910000\n", - "L = 30.381005, acc = 0.910000\n", - "L = 30.332468, acc = 0.910000\n", - "L = 30.283811, acc = 0.910000\n", - "L = 30.235036, acc = 0.910000\n", - "L = 30.186143, acc = 0.910000\n", - "L = 30.137135, acc = 0.910000\n", - "L = 30.088011, acc = 0.910000\n", - "L = 30.038774, acc = 0.910000\n", - "L = 29.989424, acc = 0.910000\n", - "L = 29.939963, acc = 0.910000\n", - "L = 29.890392, acc = 0.910000\n", - "L = 29.840713, acc = 0.910000\n", - "L = 29.790926, acc = 0.910000\n", - "L = 29.741034, acc = 0.910000\n", - "L = 29.691036, acc = 0.910000\n", - "L = 29.640935, acc = 0.910000\n", - "L = 29.590733, acc = 0.910000\n", - "L = 29.540429, acc = 0.910000\n", - "L = 29.490027, acc = 0.910000\n", - "L = 29.439526, acc = 0.915000\n", - "L = 29.388929, acc = 0.915000\n", - "L = 29.338237, acc = 0.915000\n", - "L = 29.287451, acc = 0.915000\n", - "L = 29.236573, acc = 0.915000\n", - "L = 29.185604, acc = 0.915000\n", - "L = 29.134546, acc = 0.915000\n", - "L = 29.083399, acc = 0.915000\n", - "L = 29.032166, acc = 0.915000\n", - "L = 28.980848, acc = 0.915000\n", - "L = 28.929446, acc = 0.915000\n", - "L = 28.877963, acc = 0.915000\n", - "L = 28.826398, acc = 0.915000\n", - "L = 28.774755, acc = 0.915000\n", - "L = 28.723034, acc = 0.915000\n", - "L = 28.671237, acc = 0.915000\n", - "L = 28.619366, acc = 0.915000\n", - "L = 28.567421, acc = 0.915000\n", - "L = 28.515405, acc = 0.915000\n", - "L = 28.463320, acc = 0.915000\n", - "L = 28.411166, acc = 0.915000\n", - "L = 28.358945, acc = 0.915000\n", - "L = 28.306660, acc = 0.915000\n", - "L = 28.254311, acc = 0.915000\n", - "L = 28.201900, acc = 0.915000\n", - "L = 28.149428, acc = 0.920000\n", - "L = 28.096899, acc = 0.920000\n", - "L = 28.044312, acc = 0.920000\n", - "L = 27.991670, acc = 0.920000\n", - "L = 27.938974, acc = 0.920000\n", - "L = 27.886226, acc = 0.920000\n", - "L = 27.833427, acc = 0.920000\n", - "L = 27.780580, acc = 0.920000\n", - "L = 27.727686, acc = 0.920000\n", - "L = 27.674747, acc = 0.920000\n", - "L = 27.621764, acc = 0.920000\n", - "L = 27.568739, acc = 0.920000\n", - "L = 27.515673, acc = 0.920000\n", - "L = 27.462569, acc = 0.925000\n", - "L = 27.409429, acc = 0.925000\n", - "L = 27.356253, acc = 0.925000\n", - "L = 27.303043, acc = 0.925000\n", - "L = 27.249802, acc = 0.925000\n", - "L = 27.196531, acc = 0.925000\n", - "L = 27.143232, acc = 0.925000\n", - "L = 27.089906, acc = 0.925000\n", - "L = 27.036556, acc = 0.925000\n", - "L = 26.983183, acc = 0.925000\n", - "L = 26.929788, acc = 0.925000\n", - "L = 26.876374, acc = 0.925000\n", - "L = 26.822943, acc = 0.925000\n", - "L = 26.769495, acc = 0.925000\n", - "L = 26.716034, acc = 0.925000\n", - "L = 26.662560, acc = 0.925000\n", - "L = 26.609075, acc = 0.925000\n", - "L = 26.555582, acc = 0.925000\n", - "L = 26.502081, acc = 0.925000\n", - "L = 26.448576, acc = 0.925000\n", - "L = 26.395067, acc = 0.925000\n", - "L = 26.341556, acc = 0.925000\n", - "L = 26.288045, acc = 0.925000\n", - "L = 26.234536, acc = 0.925000\n", - "L = 26.181031, acc = 0.930000\n", - "L = 26.127532, acc = 0.930000\n", - "L = 26.074040, acc = 0.930000\n", - "L = 26.020557, acc = 0.930000\n", - "L = 25.967084, acc = 0.930000\n", - "L = 25.913625, acc = 0.930000\n", - "L = 25.860180, acc = 0.930000\n", - "L = 25.806751, acc = 0.930000\n", - "L = 25.753340, acc = 0.930000\n", - "L = 25.699949, acc = 0.930000\n", - "L = 25.646580, acc = 0.930000\n", - "L = 25.593234, acc = 0.930000\n", - "L = 25.539913, acc = 0.930000\n", - "L = 25.486619, acc = 0.930000\n", - "L = 25.433354, acc = 0.930000\n", - "L = 25.380119, acc = 0.930000\n", - "L = 25.326917, acc = 0.930000\n", - "L = 25.273749, acc = 0.930000\n", - "L = 25.220617, acc = 0.930000\n", - "L = 25.167522, acc = 0.930000\n", - "L = 25.114466, acc = 0.930000\n", - "L = 25.061452, acc = 0.930000\n", - "L = 25.008480, acc = 0.930000\n", - "L = 24.955553, acc = 0.930000\n", - "L = 24.902673, acc = 0.930000\n", - "L = 24.849840, acc = 0.935000\n", - "L = 24.797058, acc = 0.935000\n", - "L = 24.744326, acc = 0.935000\n", - "L = 24.691648, acc = 0.935000\n", - "L = 24.639025, acc = 0.935000\n", - "L = 24.586459, acc = 0.935000\n", - "L = 24.533951, acc = 0.935000\n", - "L = 24.481502, acc = 0.935000\n", - "L = 24.429116, acc = 0.935000\n", - "L = 24.376793, acc = 0.935000\n", - "L = 24.324535, acc = 0.935000\n", - "L = 24.272343, acc = 0.940000\n", - "L = 24.220220, acc = 0.940000\n", - "L = 24.168167, acc = 0.940000\n", - "L = 24.116186, acc = 0.940000\n", - "L = 24.064277, acc = 0.940000\n", - "L = 24.012444, acc = 0.940000\n", - "L = 23.960687, acc = 0.940000\n", - "L = 23.909008, acc = 0.940000\n", - "L = 23.857408, acc = 0.940000\n", - "L = 23.805890, acc = 0.940000\n", - "L = 23.754455, acc = 0.940000\n", - "L = 23.703103, acc = 0.940000\n", - "L = 23.651838, acc = 0.940000\n", - "L = 23.600660, acc = 0.940000\n", - "L = 23.549570, acc = 0.940000\n", - "L = 23.498571, acc = 0.940000\n", - "L = 23.447664, acc = 0.940000\n", - "L = 23.396850, acc = 0.940000\n", - "L = 23.346131, acc = 0.940000\n", - "L = 23.295508, acc = 0.940000\n", - "L = 23.244983, acc = 0.940000\n", - "L = 23.194557, acc = 0.940000\n", - "L = 23.144231, acc = 0.940000\n", - "L = 23.094008, acc = 0.940000\n", - "L = 23.043887, acc = 0.940000\n", - "L = 22.993871, acc = 0.940000\n", - "L = 22.943961, acc = 0.940000\n", - "L = 22.894159, acc = 0.940000\n", - "L = 22.844465, acc = 0.940000\n", - "L = 22.794881, acc = 0.940000\n", - "L = 22.745409, acc = 0.940000\n", - "L = 22.696048, acc = 0.940000\n", - "L = 22.646802, acc = 0.940000\n", - "L = 22.597671, acc = 0.945000\n", - "L = 22.548656, acc = 0.945000\n", - "L = 22.499758, acc = 0.945000\n", - "L = 22.450980, acc = 0.945000\n", - "L = 22.402321, acc = 0.945000\n", - "L = 22.353783, acc = 0.945000\n", - "L = 22.305367, acc = 0.945000\n", - "L = 22.257075, acc = 0.945000\n", - "L = 22.208907, acc = 0.945000\n", - "L = 22.160865, acc = 0.945000\n", - "L = 22.112950, acc = 0.945000\n", - "L = 22.065162, acc = 0.945000\n", - "L = 22.017503, acc = 0.945000\n", - "L = 21.969973, acc = 0.945000\n", - "L = 21.922575, acc = 0.945000\n", - "L = 21.875308, acc = 0.945000\n", - "L = 21.828175, acc = 0.945000\n", - "L = 21.781174, acc = 0.945000\n", - "L = 21.734309, acc = 0.945000\n", - "L = 21.687579, acc = 0.945000\n", - "L = 21.640986, acc = 0.945000\n", - "L = 21.594530, acc = 0.945000\n", - "L = 21.548213, acc = 0.945000\n", - "L = 21.502034, acc = 0.945000\n", - "L = 21.455996, acc = 0.945000\n", - "L = 21.410098, acc = 0.945000\n", - "L = 21.364342, acc = 0.945000\n", - "L = 21.318729, acc = 0.945000\n", - "L = 21.273258, acc = 0.945000\n", - "L = 21.227932, acc = 0.945000\n", - "L = 21.182750, acc = 0.945000\n", - "L = 21.137714, acc = 0.945000\n", - "L = 21.092823, acc = 0.945000\n", - "L = 21.048079, acc = 0.945000\n", - "L = 21.003483, acc = 0.945000\n", - "L = 20.959034, acc = 0.945000\n", - "L = 20.914734, acc = 0.945000\n", - "L = 20.870584, acc = 0.945000\n", - "L = 20.826583, acc = 0.945000\n", - "L = 20.782732, acc = 0.945000\n", - "L = 20.739032, acc = 0.945000\n", - "L = 20.695484, acc = 0.945000\n", - "L = 20.652088, acc = 0.945000\n", - "L = 20.608844, acc = 0.945000\n", - "L = 20.565752, acc = 0.945000\n", - "L = 20.522815, acc = 0.945000\n", - "L = 20.480031, acc = 0.945000\n" + "L = 36.565157, acc = 0.870000\n", + "L = 36.545658, acc = 0.870000\n", + "L = 36.526038, acc = 0.875000\n", + "L = 36.506294, acc = 0.875000\n", + "L = 36.486425, acc = 0.875000\n", + "L = 36.466432, acc = 0.875000\n", + "L = 36.446313, acc = 0.875000\n", + "L = 36.426067, acc = 0.875000\n", + "L = 36.405694, acc = 0.875000\n", + "L = 36.385193, acc = 0.875000\n", + "L = 36.364562, acc = 0.875000\n", + "L = 36.343801, acc = 0.875000\n", + "L = 36.322910, acc = 0.875000\n", + "L = 36.301887, acc = 0.875000\n", + "L = 36.280731, acc = 0.875000\n", + "L = 36.259443, acc = 0.875000\n", + "L = 36.238020, acc = 0.875000\n", + "L = 36.216463, acc = 0.875000\n", + "L = 36.194770, acc = 0.875000\n", + "L = 36.172941, acc = 0.875000\n", + "L = 36.150975, acc = 0.875000\n", + "L = 36.128871, acc = 0.875000\n", + "L = 36.106629, acc = 0.875000\n", + "L = 36.084248, acc = 0.875000\n", + "L = 36.061726, acc = 0.875000\n", + "L = 36.039064, acc = 0.875000\n", + "L = 36.016260, acc = 0.875000\n", + "L = 35.993315, acc = 0.875000\n", + "L = 35.970226, acc = 0.875000\n", + "L = 35.946995, acc = 0.875000\n", + "L = 35.923619, acc = 0.875000\n", + "L = 35.900098, acc = 0.875000\n", + "L = 35.876432, acc = 0.875000\n", + "L = 35.852620, acc = 0.875000\n", + "L = 35.828661, acc = 0.875000\n", + "L = 35.804554, acc = 0.875000\n", + "L = 35.780300, acc = 0.875000\n", + "L = 35.755897, acc = 0.875000\n", + "L = 35.731345, acc = 0.875000\n", + "L = 35.706643, acc = 0.875000\n", + "L = 35.681791, acc = 0.875000\n", + "L = 35.656788, acc = 0.875000\n", + "L = 35.631634, acc = 0.875000\n", + "L = 35.606327, acc = 0.875000\n", + "L = 35.580868, acc = 0.875000\n", + "L = 35.555256, acc = 0.875000\n", + "L = 35.529491, acc = 0.875000\n", + "L = 35.503571, acc = 0.875000\n", + "L = 35.477497, acc = 0.875000\n", + "L = 35.451268, acc = 0.875000\n", + "L = 35.424883, acc = 0.875000\n", + "L = 35.398343, acc = 0.875000\n", + "L = 35.371646, acc = 0.875000\n", + "L = 35.344792, acc = 0.875000\n", + "L = 35.317781, acc = 0.875000\n", + "L = 35.290612, acc = 0.875000\n", + "L = 35.263286, acc = 0.875000\n", + "L = 35.235800, acc = 0.875000\n", + "L = 35.208157, acc = 0.875000\n", + "L = 35.180354, acc = 0.875000\n", + "L = 35.152391, acc = 0.875000\n", + "L = 35.124269, acc = 0.875000\n", + "L = 35.095986, acc = 0.875000\n", + "L = 35.067544, acc = 0.875000\n", + "L = 35.038940, acc = 0.875000\n", + "L = 35.010175, acc = 0.875000\n", + "L = 34.981249, acc = 0.875000\n", + "L = 34.952162, acc = 0.875000\n", + "L = 34.922913, acc = 0.880000\n", + "L = 34.893501, acc = 0.880000\n", + "L = 34.863928, acc = 0.880000\n", + "L = 34.834192, acc = 0.880000\n", + "L = 34.804293, acc = 0.880000\n", + "L = 34.774232, acc = 0.880000\n", + "L = 34.744008, acc = 0.880000\n", + "L = 34.713620, acc = 0.880000\n", + "L = 34.683070, acc = 0.880000\n", + "L = 34.652356, acc = 0.880000\n", + "L = 34.621478, acc = 0.880000\n", + "L = 34.590437, acc = 0.880000\n", + "L = 34.559232, acc = 0.880000\n", + "L = 34.527864, acc = 0.880000\n", + "L = 34.496331, acc = 0.880000\n", + "L = 34.464635, acc = 0.880000\n", + "L = 34.432775, acc = 0.880000\n", + "L = 34.400751, acc = 0.880000\n", + "L = 34.368563, acc = 0.880000\n", + "L = 34.336211, acc = 0.880000\n", + "L = 34.303696, acc = 0.880000\n", + "L = 34.271016, acc = 0.885000\n", + "L = 34.238173, acc = 0.885000\n", + "L = 34.205166, acc = 0.885000\n", + "L = 34.171995, acc = 0.885000\n", + "L = 34.138661, acc = 0.885000\n", + "L = 34.105164, acc = 0.885000\n", + "L = 34.071503, acc = 0.890000\n", + "L = 34.037679, acc = 0.890000\n", + "L = 34.003692, acc = 0.890000\n", + "L = 33.969541, acc = 0.890000\n", + "L = 33.935229, acc = 0.890000\n", + "L = 33.900753, acc = 0.890000\n", + "L = 33.866116, acc = 0.890000\n", + "L = 33.831316, acc = 0.890000\n", + "L = 33.796354, acc = 0.890000\n", + "L = 33.761231, acc = 0.890000\n", + "L = 33.725946, acc = 0.890000\n", + "L = 33.690500, acc = 0.890000\n", + "L = 33.654893, acc = 0.890000\n", + "L = 33.619125, acc = 0.890000\n", + "L = 33.583198, acc = 0.890000\n", + "L = 33.547110, acc = 0.890000\n", + "L = 33.510862, acc = 0.890000\n", + "L = 33.474455, acc = 0.890000\n", + "L = 33.437889, acc = 0.890000\n", + "L = 33.401165, acc = 0.890000\n", + "L = 33.364282, acc = 0.890000\n", + "L = 33.327242, acc = 0.890000\n", + "L = 33.290044, acc = 0.890000\n", + "L = 33.252689, acc = 0.890000\n", + "L = 33.215177, acc = 0.890000\n", + "L = 33.177509, acc = 0.890000\n", + "L = 33.139686, acc = 0.890000\n", + "L = 33.101707, acc = 0.890000\n", + "L = 33.063573, acc = 0.890000\n", + "L = 33.025285, acc = 0.895000\n", + "L = 32.986844, acc = 0.895000\n", + "L = 32.948248, acc = 0.895000\n", + "L = 32.909501, acc = 0.895000\n", + "L = 32.870601, acc = 0.895000\n", + "L = 32.831549, acc = 0.895000\n", + "L = 32.792346, acc = 0.895000\n", + "L = 32.752992, acc = 0.895000\n", + "L = 32.713489, acc = 0.895000\n", + "L = 32.673836, acc = 0.895000\n", + "L = 32.634034, acc = 0.895000\n", + "L = 32.594084, acc = 0.895000\n", + "L = 32.553987, acc = 0.895000\n", + "L = 32.513743, acc = 0.895000\n", + "L = 32.473352, acc = 0.895000\n", + "L = 32.432815, acc = 0.895000\n", + "L = 32.392134, acc = 0.895000\n", + "L = 32.351308, acc = 0.895000\n", + "L = 32.310339, acc = 0.895000\n", + "L = 32.269227, acc = 0.895000\n", + "L = 32.227973, acc = 0.895000\n", + "L = 32.186577, acc = 0.895000\n", + "L = 32.145040, acc = 0.895000\n", + "L = 32.103364, acc = 0.895000\n", + "L = 32.061548, acc = 0.895000\n", + "L = 32.019593, acc = 0.900000\n", + "L = 31.977501, acc = 0.900000\n", + "L = 31.935272, acc = 0.900000\n", + "L = 31.892907, acc = 0.900000\n", + "L = 31.850406, acc = 0.900000\n", + "L = 31.807771, acc = 0.900000\n", + "L = 31.765002, acc = 0.900000\n", + "L = 31.722099, acc = 0.900000\n", + "L = 31.679065, acc = 0.900000\n", + "L = 31.635900, acc = 0.900000\n", + "L = 31.592604, acc = 0.900000\n", + "L = 31.549179, acc = 0.900000\n", + "L = 31.505625, acc = 0.900000\n", + "L = 31.461943, acc = 0.900000\n", + "L = 31.418134, acc = 0.900000\n", + "L = 31.374199, acc = 0.900000\n", + "L = 31.330139, acc = 0.900000\n", + "L = 31.285955, acc = 0.900000\n", + "L = 31.241648, acc = 0.900000\n", + "L = 31.197218, acc = 0.900000\n", + "L = 31.152666, acc = 0.900000\n", + "L = 31.107995, acc = 0.900000\n", + "L = 31.063203, acc = 0.900000\n", + "L = 31.018293, acc = 0.900000\n", + "L = 30.973266, acc = 0.900000\n", + "L = 30.928122, acc = 0.900000\n", + "L = 30.882862, acc = 0.900000\n", + "L = 30.837487, acc = 0.900000\n", + "L = 30.791999, acc = 0.900000\n", + "L = 30.746398, acc = 0.900000\n", + "L = 30.700686, acc = 0.905000\n", + "L = 30.654863, acc = 0.905000\n", + "L = 30.608930, acc = 0.905000\n", + "L = 30.562889, acc = 0.905000\n", + "L = 30.516740, acc = 0.905000\n", + "L = 30.470484, acc = 0.905000\n", + "L = 30.424123, acc = 0.905000\n", + "L = 30.377658, acc = 0.905000\n", + "L = 30.331090, acc = 0.905000\n", + "L = 30.284419, acc = 0.910000\n", + "L = 30.237647, acc = 0.910000\n", + "L = 30.190775, acc = 0.910000\n", + "L = 30.143803, acc = 0.910000\n", + "L = 30.096734, acc = 0.910000\n", + "L = 30.049568, acc = 0.910000\n", + "L = 30.002307, acc = 0.910000\n", + "L = 29.954951, acc = 0.910000\n", + "L = 29.907501, acc = 0.910000\n", + "L = 29.859959, acc = 0.910000\n", + "L = 29.812326, acc = 0.910000\n", + "L = 29.764602, acc = 0.910000\n", + "L = 29.716790, acc = 0.910000\n", + "L = 29.668890, acc = 0.910000\n", + "L = 29.620903, acc = 0.910000\n", + "L = 29.572831, acc = 0.910000\n", + "L = 29.524674, acc = 0.910000\n", + "L = 29.476435, acc = 0.910000\n", + "L = 29.428113, acc = 0.910000\n", + "L = 29.379710, acc = 0.910000\n", + "L = 29.331228, acc = 0.910000\n", + "L = 29.282667, acc = 0.910000\n", + "L = 29.234030, acc = 0.910000\n", + "L = 29.185315, acc = 0.910000\n", + "L = 29.136527, acc = 0.910000\n", + "L = 29.087664, acc = 0.910000\n", + "L = 29.038729, acc = 0.910000\n", + "L = 28.989723, acc = 0.910000\n", + "L = 28.940646, acc = 0.910000\n", + "L = 28.891501, acc = 0.910000\n", + "L = 28.842289, acc = 0.910000\n", + "L = 28.793010, acc = 0.910000\n", + "L = 28.743666, acc = 0.910000\n", + "L = 28.694257, acc = 0.910000\n", + "L = 28.644787, acc = 0.910000\n", + "L = 28.595255, acc = 0.910000\n", + "L = 28.545662, acc = 0.910000\n", + "L = 28.496011, acc = 0.910000\n", + "L = 28.446303, acc = 0.910000\n", + "L = 28.396537, acc = 0.910000\n", + "L = 28.346717, acc = 0.910000\n", + "L = 28.296843, acc = 0.910000\n", + "L = 28.246916, acc = 0.910000\n", + "L = 28.196939, acc = 0.910000\n", + "L = 28.146911, acc = 0.910000\n", + "L = 28.096834, acc = 0.915000\n", + "L = 28.046710, acc = 0.915000\n", + "L = 27.996539, acc = 0.915000\n", + "L = 27.946324, acc = 0.915000\n", + "L = 27.896065, acc = 0.915000\n", + "L = 27.845764, acc = 0.915000\n", + "L = 27.795422, acc = 0.915000\n", + "L = 27.745040, acc = 0.915000\n", + "L = 27.694620, acc = 0.915000\n", + "L = 27.644163, acc = 0.915000\n", + "L = 27.593670, acc = 0.915000\n", + "L = 27.543142, acc = 0.915000\n", + "L = 27.492582, acc = 0.915000\n", + "L = 27.441989, acc = 0.915000\n", + "L = 27.391366, acc = 0.920000\n", + "L = 27.340714, acc = 0.920000\n", + "L = 27.290034, acc = 0.920000\n", + "L = 27.239328, acc = 0.920000\n", + "L = 27.188596, acc = 0.920000\n", + "L = 27.137840, acc = 0.920000\n", + "L = 27.087062, acc = 0.920000\n", + "L = 27.036263, acc = 0.920000\n", + "L = 26.985444, acc = 0.920000\n", + "L = 26.934606, acc = 0.920000\n", + "L = 26.883752, acc = 0.920000\n", + "L = 26.832881, acc = 0.920000\n", + "L = 26.781996, acc = 0.920000\n", + "L = 26.731098, acc = 0.920000\n", + "L = 26.680188, acc = 0.920000\n", + "L = 26.629267, acc = 0.920000\n", + "L = 26.578338, acc = 0.920000\n", + "L = 26.527401, acc = 0.920000\n", + "L = 26.476457, acc = 0.920000\n", + "L = 26.425509, acc = 0.920000\n", + "L = 26.374556, acc = 0.920000\n", + "L = 26.323602, acc = 0.920000\n", + "L = 26.272646, acc = 0.920000\n", + "L = 26.221691, acc = 0.920000\n", + "L = 26.170738, acc = 0.925000\n", + "L = 26.119788, acc = 0.925000\n", + "L = 26.068843, acc = 0.925000\n", + "L = 26.017903, acc = 0.925000\n", + "L = 25.966970, acc = 0.925000\n", + "L = 25.916047, acc = 0.925000\n", + "L = 25.865133, acc = 0.925000\n", + "L = 25.814230, acc = 0.925000\n", + "L = 25.763341, acc = 0.925000\n", + "L = 25.712465, acc = 0.925000\n", + "L = 25.661605, acc = 0.925000\n", + "L = 25.610761, acc = 0.925000\n", + "L = 25.559936, acc = 0.925000\n", + "L = 25.509130, acc = 0.925000\n", + "L = 25.458345, acc = 0.925000\n", + "L = 25.407582, acc = 0.925000\n", + "L = 25.356843, acc = 0.925000\n", + "L = 25.306130, acc = 0.925000\n", + "L = 25.255442, acc = 0.925000\n", + "L = 25.204782, acc = 0.925000\n", + "L = 25.154151, acc = 0.930000\n", + "L = 25.103551, acc = 0.930000\n", + "L = 25.052982, acc = 0.930000\n", + "L = 25.002447, acc = 0.930000\n", + "L = 24.951946, acc = 0.930000\n", + "L = 24.901481, acc = 0.930000\n", + "L = 24.851053, acc = 0.930000\n", + "L = 24.800663, acc = 0.930000\n", + "L = 24.750314, acc = 0.930000\n", + "L = 24.700006, acc = 0.930000\n", + "L = 24.649740, acc = 0.930000\n", + "L = 24.599519, acc = 0.930000\n", + "L = 24.549342, acc = 0.930000\n", + "L = 24.499213, acc = 0.930000\n", + "L = 24.449131, acc = 0.930000\n", + "L = 24.399098, acc = 0.930000\n", + "L = 24.349117, acc = 0.930000\n", + "L = 24.299187, acc = 0.930000\n", + "L = 24.249310, acc = 0.930000\n", + "L = 24.199488, acc = 0.930000\n", + "L = 24.149721, acc = 0.930000\n", + "L = 24.100012, acc = 0.930000\n", + "L = 24.050362, acc = 0.935000\n", + "L = 24.000771, acc = 0.935000\n", + "L = 23.951241, acc = 0.935000\n", + "L = 23.901774, acc = 0.935000\n", + "L = 23.852370, acc = 0.935000\n", + "L = 23.803032, acc = 0.935000\n", + "L = 23.753759, acc = 0.935000\n", + "L = 23.704554, acc = 0.935000\n", + "L = 23.655418, acc = 0.935000\n", + "L = 23.606352, acc = 0.935000\n", + "L = 23.557357, acc = 0.935000\n", + "L = 23.508435, acc = 0.935000\n", + "L = 23.459586, acc = 0.935000\n", + "L = 23.410812, acc = 0.935000\n", + "L = 23.362115, acc = 0.935000\n", + "L = 23.313495, acc = 0.935000\n", + "L = 23.264954, acc = 0.935000\n", + "L = 23.216493, acc = 0.935000\n", + "L = 23.168113, acc = 0.935000\n", + "L = 23.119815, acc = 0.935000\n", + "L = 23.071601, acc = 0.935000\n", + "L = 23.023472, acc = 0.935000\n", + "L = 22.975428, acc = 0.935000\n", + "L = 22.927472, acc = 0.935000\n", + "L = 22.879603, acc = 0.935000\n", + "L = 22.831824, acc = 0.935000\n", + "L = 22.784136, acc = 0.935000\n", + "L = 22.736539, acc = 0.935000\n", + "L = 22.689035, acc = 0.935000\n", + "L = 22.641625, acc = 0.935000\n", + "L = 22.594309, acc = 0.935000\n", + "L = 22.547090, acc = 0.935000\n", + "L = 22.499968, acc = 0.935000\n", + "L = 22.452945, acc = 0.935000\n", + "L = 22.406020, acc = 0.935000\n", + "L = 22.359197, acc = 0.935000\n", + "L = 22.312474, acc = 0.940000\n", + "L = 22.265854, acc = 0.940000\n", + "L = 22.219338, acc = 0.940000\n", + "L = 22.172926, acc = 0.940000\n", + "L = 22.126620, acc = 0.940000\n", + "L = 22.080420, acc = 0.940000\n", + "L = 22.034328, acc = 0.940000\n", + "L = 21.988345, acc = 0.940000\n", + "L = 21.942471, acc = 0.940000\n", + "L = 21.896707, acc = 0.940000\n", + "L = 21.851055, acc = 0.940000\n", + "L = 21.805515, acc = 0.940000\n", + "L = 21.760089, acc = 0.940000\n", + "L = 21.714777, acc = 0.940000\n", + "L = 21.669579, acc = 0.945000\n", + "L = 21.624498, acc = 0.945000\n", + "L = 21.579534, acc = 0.945000\n", + "L = 21.534687, acc = 0.945000\n", + "L = 21.489959, acc = 0.945000\n", + "L = 21.445351, acc = 0.945000\n", + "L = 21.400862, acc = 0.945000\n", + "L = 21.356495, acc = 0.945000\n", + "L = 21.312250, acc = 0.945000\n", + "L = 21.268127, acc = 0.945000\n", + "L = 21.224128, acc = 0.945000\n", + "L = 21.180252, acc = 0.945000\n", + "L = 21.136502, acc = 0.945000\n", + "L = 21.092877, acc = 0.945000\n", + "L = 21.049379, acc = 0.945000\n", + "L = 21.006008, acc = 0.945000\n", + "L = 20.962765, acc = 0.945000\n", + "L = 20.919650, acc = 0.945000\n", + "L = 20.876664, acc = 0.945000\n", + "L = 20.833808, acc = 0.945000\n", + "L = 20.791083, acc = 0.945000\n", + "L = 20.748488, acc = 0.945000\n", + "L = 20.706026, acc = 0.945000\n", + "L = 20.663695, acc = 0.945000\n", + "L = 20.621497, acc = 0.945000\n", + "L = 20.579433, acc = 0.945000\n", + "L = 20.537503, acc = 0.945000\n", + "L = 20.495707, acc = 0.945000\n", + "L = 20.454047, acc = 0.945000\n", + "L = 20.412521, acc = 0.945000\n", + "L = 20.371132, acc = 0.945000\n", + "L = 20.329880, acc = 0.945000\n", + "L = 20.288764, acc = 0.945000\n", + "L = 20.247786, acc = 0.945000\n", + "L = 20.206946, acc = 0.945000\n", + "L = 20.166245, acc = 0.945000\n", + "L = 20.125682, acc = 0.945000\n", + "L = 20.085258, acc = 0.945000\n", + "L = 20.044974, acc = 0.945000\n", + "L = 20.004830, acc = 0.945000\n", + "L = 19.964826, acc = 0.945000\n", + "L = 19.924962, acc = 0.945000\n", + "L = 19.885240, acc = 0.945000\n", + "L = 19.845659, acc = 0.945000\n", + "L = 19.806219, acc = 0.945000\n", + "L = 19.766922, acc = 0.945000\n", + "L = 19.727766, acc = 0.945000\n", + "L = 19.688753, acc = 0.945000\n", + "L = 19.649883, acc = 0.945000\n", + "L = 19.611155, acc = 0.945000\n", + "L = 19.572571, acc = 0.945000\n", + "L = 19.534130, acc = 0.945000\n", + "L = 19.495832, acc = 0.945000\n", + "L = 19.457678, acc = 0.945000\n", + "L = 19.419668, acc = 0.945000\n", + "L = 19.381802, acc = 0.945000\n", + "L = 19.344080, acc = 0.945000\n", + "L = 19.306502, acc = 0.945000\n", + "L = 19.269069, acc = 0.945000\n", + "L = 19.231780, acc = 0.945000\n", + "L = 19.194635, acc = 0.945000\n", + "L = 19.157636, acc = 0.945000\n", + "L = 19.120781, acc = 0.945000\n", + "L = 19.084070, acc = 0.945000\n", + "L = 19.047505, acc = 0.945000\n", + "L = 19.011084, acc = 0.945000\n", + "L = 18.974808, acc = 0.945000\n", + "L = 18.938677, acc = 0.945000\n", + "L = 18.902691, acc = 0.945000\n", + "L = 18.866849, acc = 0.945000\n", + "L = 18.831153, acc = 0.945000\n", + "L = 18.795600, acc = 0.945000\n", + "L = 18.760193, acc = 0.945000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "L = 20.437401, acc = 0.945000\n", - "L = 20.394926, acc = 0.945000\n", - "L = 20.352605, acc = 0.945000\n", - "L = 20.310440, acc = 0.945000\n", - "L = 20.268431, acc = 0.945000\n", - "L = 20.226578, acc = 0.945000\n", - "L = 20.184881, acc = 0.945000\n", - "L = 20.143341, acc = 0.945000\n", - "L = 20.101957, acc = 0.945000\n", - "L = 20.060731, acc = 0.945000\n", - "L = 20.019662, acc = 0.945000\n", - "L = 19.978751, acc = 0.945000\n", - "L = 19.937997, acc = 0.945000\n", - "L = 19.897402, acc = 0.945000\n", - "L = 19.856965, acc = 0.945000\n", - "L = 19.816686, acc = 0.945000\n", - "L = 19.776566, acc = 0.945000\n", - "L = 19.736604, acc = 0.945000\n", - "L = 19.696802, acc = 0.945000\n", - "L = 19.657158, acc = 0.945000\n", - "L = 19.617673, acc = 0.945000\n", - "L = 19.578347, acc = 0.945000\n", - "L = 19.539180, acc = 0.945000\n", - "L = 19.500173, acc = 0.945000\n", - "L = 19.461324, acc = 0.945000\n", - "L = 19.422635, acc = 0.945000\n", - "L = 19.384105, acc = 0.945000\n", - "L = 19.345734, acc = 0.945000\n", - "L = 19.307522, acc = 0.945000\n", - "L = 19.269469, acc = 0.945000\n", - "L = 19.231575, acc = 0.945000\n", - "L = 19.193840, acc = 0.945000\n", - "L = 19.156264, acc = 0.945000\n", - "L = 19.118847, acc = 0.945000\n", - "L = 19.081588, acc = 0.945000\n", - "L = 19.044488, acc = 0.945000\n", - "L = 19.007546, acc = 0.945000\n", - "L = 18.970763, acc = 0.945000\n", - "L = 18.934137, acc = 0.945000\n", - "L = 18.897670, acc = 0.945000\n", - "L = 18.861360, acc = 0.945000\n", - "L = 18.825208, acc = 0.945000\n", - "L = 18.789212, acc = 0.945000\n", - "L = 18.753374, acc = 0.945000\n", - "L = 18.717693, acc = 0.945000\n", - "L = 18.682169, acc = 0.945000\n", - "L = 18.646800, acc = 0.945000\n", - "L = 18.611588, acc = 0.945000\n", - "L = 18.576532, acc = 0.945000\n", - "L = 18.541631, acc = 0.945000\n", - "L = 18.506885, acc = 0.945000\n", - "L = 18.472295, acc = 0.945000\n", - "L = 18.437858, acc = 0.945000\n", - "L = 18.403577, acc = 0.945000\n", - "L = 18.369449, acc = 0.945000\n", - "L = 18.335475, acc = 0.945000\n", - "L = 18.301654, acc = 0.945000\n", - "L = 18.267985, acc = 0.945000\n", - "L = 18.234470, acc = 0.945000\n", - "L = 18.201106, acc = 0.945000\n", - "L = 18.167895, acc = 0.945000\n", - "L = 18.134835, acc = 0.945000\n", - "L = 18.101925, acc = 0.945000\n", - "L = 18.069167, acc = 0.945000\n", - "L = 18.036558, acc = 0.945000\n", - "L = 18.004099, acc = 0.945000\n", - "L = 17.971790, acc = 0.945000\n", - "L = 17.939629, acc = 0.945000\n", - "L = 17.907617, acc = 0.945000\n", - "L = 17.875753, acc = 0.945000\n", - "L = 17.844036, acc = 0.945000\n", - "L = 17.812467, acc = 0.945000\n", - "L = 17.781044, acc = 0.945000\n", - "L = 17.749767, acc = 0.945000\n", - "L = 17.718636, acc = 0.945000\n", - "L = 17.687650, acc = 0.945000\n", - "L = 17.656809, acc = 0.945000\n", - "L = 17.626111, acc = 0.945000\n", - "L = 17.595558, acc = 0.945000\n", - "L = 17.565148, acc = 0.945000\n", - "L = 17.534880, acc = 0.945000\n", - "L = 17.504755, acc = 0.945000\n", - "L = 17.474771, acc = 0.945000\n", - "L = 17.444929, acc = 0.945000\n", - "L = 17.415227, acc = 0.945000\n", - "L = 17.385665, acc = 0.945000\n", - "L = 17.356243, acc = 0.945000\n", - "L = 17.326960, acc = 0.945000\n", - "L = 17.297815, acc = 0.945000\n", - "L = 17.268808, acc = 0.945000\n", - "L = 17.239939, acc = 0.945000\n", - "L = 17.211206, acc = 0.945000\n", - "L = 17.182610, acc = 0.950000\n", - "L = 17.154149, acc = 0.950000\n", - "L = 17.125824, acc = 0.950000\n", - "L = 17.097633, acc = 0.950000\n", - "L = 17.069577, acc = 0.950000\n", - "L = 17.041653, acc = 0.950000\n", - "L = 17.013863, acc = 0.950000\n", - "L = 16.986205, acc = 0.950000\n", - "L = 16.958679, acc = 0.950000\n", - "L = 16.931284, acc = 0.950000\n", - "L = 16.904020, acc = 0.950000\n", - "L = 16.876886, acc = 0.950000\n", - "L = 16.849881, acc = 0.950000\n", - "L = 16.823006, acc = 0.950000\n", - "L = 16.796258, acc = 0.950000\n", - "L = 16.769639, acc = 0.950000\n", - "L = 16.743146, acc = 0.950000\n", - "L = 16.716780, acc = 0.950000\n", - "L = 16.690540, acc = 0.950000\n", - "L = 16.664426, acc = 0.950000\n", - "L = 16.638436, acc = 0.950000\n", - "L = 16.612571, acc = 0.950000\n", - "L = 16.586829, acc = 0.950000\n", - "L = 16.561211, acc = 0.950000\n", - "L = 16.535715, acc = 0.950000\n", - "L = 16.510341, acc = 0.950000\n", - "L = 16.485088, acc = 0.950000\n", - "L = 16.459956, acc = 0.950000\n", - "L = 16.434944, acc = 0.950000\n", - "L = 16.410051, acc = 0.950000\n", - "L = 16.385278, acc = 0.950000\n", - "L = 16.360623, acc = 0.950000\n", - "L = 16.336085, acc = 0.950000\n", - "L = 16.311665, acc = 0.950000\n", - "L = 16.287362, acc = 0.950000\n", - "L = 16.263175, acc = 0.950000\n", - "L = 16.239103, acc = 0.955000\n", - "L = 16.215146, acc = 0.955000\n", - "L = 16.191303, acc = 0.955000\n", - "L = 16.167574, acc = 0.955000\n", - "L = 16.143958, acc = 0.955000\n", - "L = 16.120455, acc = 0.955000\n", - "L = 16.097064, acc = 0.955000\n", - "L = 16.073784, acc = 0.955000\n", - "L = 16.050615, acc = 0.955000\n", - "L = 16.027556, acc = 0.955000\n", - "L = 16.004606, acc = 0.955000\n", - "L = 15.981766, acc = 0.955000\n", - "L = 15.959035, acc = 0.955000\n", - "L = 15.936411, acc = 0.955000\n", - "L = 15.913895, acc = 0.955000\n", - "L = 15.891485, acc = 0.955000\n", - "L = 15.869182, acc = 0.955000\n", - "L = 15.846984, acc = 0.955000\n", - "L = 15.824892, acc = 0.955000\n", - "L = 15.802904, acc = 0.955000\n", - "L = 15.781020, acc = 0.955000\n", - "L = 15.759239, acc = 0.955000\n", - "L = 15.737561, acc = 0.955000\n", - "L = 15.715986, acc = 0.955000\n", - "L = 15.694512, acc = 0.955000\n", - "L = 15.673140, acc = 0.955000\n", - "L = 15.651868, acc = 0.955000\n", - "L = 15.630696, acc = 0.955000\n", - "L = 15.609624, acc = 0.955000\n", - "L = 15.588651, acc = 0.955000\n", - "L = 15.567776, acc = 0.955000\n", - "L = 15.546999, acc = 0.955000\n", - "L = 15.526320, acc = 0.955000\n", - "L = 15.505737, acc = 0.955000\n", - "L = 15.485251, acc = 0.955000\n", - "L = 15.464860, acc = 0.955000\n", - "L = 15.444565, acc = 0.955000\n", - "L = 15.424364, acc = 0.955000\n", - "L = 15.404258, acc = 0.955000\n", - "L = 15.384245, acc = 0.955000\n", - "L = 15.364325, acc = 0.955000\n", - "L = 15.344498, acc = 0.955000\n", - "L = 15.324763, acc = 0.955000\n", - "L = 15.305119, acc = 0.955000\n", - "L = 15.285567, acc = 0.955000\n", - "L = 15.266105, acc = 0.955000\n", - "L = 15.246733, acc = 0.955000\n", - "L = 15.227450, acc = 0.955000\n", - "L = 15.208257, acc = 0.955000\n", - "L = 15.189152, acc = 0.955000\n", - "L = 15.170135, acc = 0.955000\n", - "L = 15.151205, acc = 0.955000\n", - "L = 15.132362, acc = 0.955000\n", - "L = 15.113606, acc = 0.955000\n", - "L = 15.094936, acc = 0.955000\n", - "L = 15.076352, acc = 0.955000\n", - "L = 15.057852, acc = 0.955000\n", - "L = 15.039437, acc = 0.955000\n", - "L = 15.021106, acc = 0.955000\n", - "L = 15.002859, acc = 0.955000\n", - "L = 14.984695, acc = 0.955000\n", - "L = 14.966613, acc = 0.955000\n", - "L = 14.948613, acc = 0.960000\n", - "L = 14.930695, acc = 0.960000\n", - "L = 14.912859, acc = 0.960000\n", - "L = 14.895103, acc = 0.960000\n", - "L = 14.877427, acc = 0.960000\n", - "L = 14.859831, acc = 0.960000\n", - "L = 14.842314, acc = 0.960000\n", - "L = 14.824876, acc = 0.960000\n", - "L = 14.807517, acc = 0.960000\n", - "L = 14.790236, acc = 0.960000\n", - "L = 14.773032, acc = 0.960000\n", - "L = 14.755905, acc = 0.960000\n", - "L = 14.738855, acc = 0.960000\n", - "L = 14.721881, acc = 0.960000\n", - "L = 14.704982, acc = 0.960000\n", - "L = 14.688159, acc = 0.960000\n", - "L = 14.671411, acc = 0.960000\n", - "L = 14.654737, acc = 0.960000\n", - "L = 14.638137, acc = 0.960000\n", - "L = 14.621611, acc = 0.960000\n", - "L = 14.605157, acc = 0.960000\n", - "L = 14.588777, acc = 0.960000\n", - "L = 14.572468, acc = 0.960000\n", - "L = 14.556232, acc = 0.960000\n", - "L = 14.540067, acc = 0.960000\n", - "L = 14.523973, acc = 0.960000\n", - "L = 14.507949, acc = 0.960000\n", - "L = 14.491996, acc = 0.960000\n", - "L = 14.476113, acc = 0.960000\n", - "L = 14.460298, acc = 0.960000\n", - "L = 14.444553, acc = 0.960000\n", - "L = 14.428877, acc = 0.960000\n", - "L = 14.413268, acc = 0.960000\n", - "L = 14.397727, acc = 0.960000\n", - "L = 14.382254, acc = 0.960000\n", - "L = 14.366847, acc = 0.960000\n", - "L = 14.351507, acc = 0.960000\n", - "L = 14.336234, acc = 0.960000\n", - "L = 14.321026, acc = 0.960000\n", - "L = 14.305883, acc = 0.960000\n", - "L = 14.290805, acc = 0.960000\n", - "L = 14.275793, acc = 0.960000\n", - "L = 14.260844, acc = 0.960000\n", - "L = 14.245959, acc = 0.960000\n", - "L = 14.231138, acc = 0.960000\n", - "L = 14.216380, acc = 0.960000\n", - "L = 14.201684, acc = 0.960000\n", - "L = 14.187051, acc = 0.960000\n", - "L = 14.172480, acc = 0.960000\n", - "L = 14.157971, acc = 0.960000\n", - "L = 14.143523, acc = 0.960000\n", - "L = 14.129136, acc = 0.960000\n", - "L = 14.114810, acc = 0.960000\n", - "L = 14.100543, acc = 0.960000\n", - "L = 14.086337, acc = 0.960000\n", - "L = 14.072190, acc = 0.960000\n", - "L = 14.058102, acc = 0.960000\n", - "L = 14.044074, acc = 0.960000\n", - "L = 14.030103, acc = 0.960000\n", - "L = 14.016191, acc = 0.960000\n", - "L = 14.002337, acc = 0.960000\n", - "L = 13.988540, acc = 0.960000\n", - "L = 13.974800, acc = 0.960000\n", - "L = 13.961117, acc = 0.960000\n", - "L = 13.947491, acc = 0.960000\n", - "L = 13.933920, acc = 0.960000\n", - "L = 13.920406, acc = 0.960000\n", - "L = 13.906947, acc = 0.960000\n", - "L = 13.893543, acc = 0.960000\n", - "L = 13.880194, acc = 0.960000\n", - "L = 13.866899, acc = 0.960000\n", - "L = 13.853659, acc = 0.960000\n", - "L = 13.840472, acc = 0.960000\n", - "L = 13.827339, acc = 0.960000\n", - "L = 13.814260, acc = 0.960000\n", - "L = 13.801233, acc = 0.960000\n", - "L = 13.788259, acc = 0.960000\n", - "L = 13.775337, acc = 0.960000\n", - "L = 13.762467, acc = 0.965000\n", - "L = 13.749649, acc = 0.965000\n", - "L = 13.736883, acc = 0.965000\n", - "L = 13.724167, acc = 0.965000\n", - "L = 13.711503, acc = 0.965000\n", - "L = 13.698888, acc = 0.965000\n", - "L = 13.686324, acc = 0.965000\n", - "L = 13.673810, acc = 0.965000\n", - "L = 13.661346, acc = 0.965000\n", - "L = 13.648931, acc = 0.965000\n", - "L = 13.636565, acc = 0.965000\n", - "L = 13.624248, acc = 0.965000\n", - "L = 13.611980, acc = 0.965000\n", - "L = 13.599759, acc = 0.965000\n", - "L = 13.587587, acc = 0.965000\n", - "L = 13.575462, acc = 0.965000\n", - "L = 13.563385, acc = 0.965000\n", - "L = 13.551354, acc = 0.965000\n", - "L = 13.539371, acc = 0.965000\n", - "L = 13.527434, acc = 0.965000\n", - "L = 13.515544, acc = 0.965000\n", - "L = 13.503699, acc = 0.965000\n", - "L = 13.491901, acc = 0.965000\n", - "L = 13.480147, acc = 0.965000\n", - "L = 13.468439, acc = 0.965000\n", - "L = 13.456776, acc = 0.965000\n", - "L = 13.445158, acc = 0.965000\n", - "L = 13.433585, acc = 0.965000\n", - "L = 13.422055, acc = 0.965000\n", - "L = 13.410569, acc = 0.965000\n", - "L = 13.399128, acc = 0.965000\n", - "L = 13.387729, acc = 0.965000\n", - "L = 13.376374, acc = 0.965000\n", - "L = 13.365062, acc = 0.965000\n", - "L = 13.353792, acc = 0.965000\n", - "L = 13.342565, acc = 0.965000\n", - "L = 13.331380, acc = 0.965000\n", - "L = 13.320237, acc = 0.965000\n", - "L = 13.309136, acc = 0.965000\n", - "L = 13.298077, acc = 0.965000\n", - "L = 13.287059, acc = 0.965000\n", - "L = 13.276081, acc = 0.965000\n", - "L = 13.265145, acc = 0.965000\n", - "L = 13.254249, acc = 0.965000\n", - "L = 13.243393, acc = 0.965000\n", - "L = 13.232578, acc = 0.965000\n", - "L = 13.221802, acc = 0.965000\n", - "L = 13.211066, acc = 0.965000\n", - "L = 13.200370, acc = 0.965000\n", - "L = 13.189712, acc = 0.965000\n", - "L = 13.179094, acc = 0.965000\n", - "L = 13.168515, acc = 0.965000\n", - "L = 13.157973, acc = 0.965000\n", - "L = 13.147471, acc = 0.965000\n", - "L = 13.137006, acc = 0.965000\n", - "L = 13.126579, acc = 0.965000\n", - "L = 13.116190, acc = 0.965000\n", - "L = 13.105839, acc = 0.965000\n", - "L = 13.095525, acc = 0.965000\n", - "L = 13.085247, acc = 0.965000\n", - "L = 13.075007, acc = 0.965000\n", - "L = 13.064803, acc = 0.965000\n", - "L = 13.054636, acc = 0.965000\n", - "L = 13.044504, acc = 0.965000\n", - "L = 13.034409, acc = 0.965000\n", - "L = 13.024350, acc = 0.965000\n", - "L = 13.014326, acc = 0.965000\n", - "L = 13.004338, acc = 0.965000\n", - "L = 12.994385, acc = 0.965000\n", - "L = 12.984467, acc = 0.965000\n", - "L = 12.974583, acc = 0.965000\n", - "L = 12.964735, acc = 0.965000\n", - "L = 12.954920, acc = 0.965000\n", - "L = 12.945140, acc = 0.965000\n", - "L = 12.935394, acc = 0.965000\n", - "L = 12.925682, acc = 0.965000\n", - "L = 12.916004, acc = 0.965000\n", - "L = 12.906359, acc = 0.965000\n", - "L = 12.896747, acc = 0.965000\n", - "L = 12.887169, acc = 0.965000\n", - "L = 12.877623, acc = 0.965000\n", - "L = 12.868110, acc = 0.965000\n", - "L = 12.858630, acc = 0.965000\n", - "L = 12.849182, acc = 0.965000\n", - "L = 12.839766, acc = 0.965000\n", - "L = 12.830383, acc = 0.965000\n", - "L = 12.821031, acc = 0.965000\n", - "L = 12.811711, acc = 0.965000\n", - "L = 12.802422, acc = 0.965000\n", - "L = 12.793165, acc = 0.965000\n", - "L = 12.783939, acc = 0.965000\n", - "L = 12.774743, acc = 0.965000\n", - "L = 12.765579, acc = 0.965000\n", - "L = 12.756445, acc = 0.965000\n", - "L = 12.747342, acc = 0.965000\n", - "L = 12.738269, acc = 0.965000\n", - "L = 12.729226, acc = 0.965000\n", - "L = 12.720214, acc = 0.965000\n", - "L = 12.711231, acc = 0.965000\n", - "L = 12.702277, acc = 0.965000\n", - "L = 12.693354, acc = 0.965000\n", - "L = 12.684459, acc = 0.965000\n", - "L = 12.675594, acc = 0.965000\n", - "L = 12.666757, acc = 0.965000\n", - "L = 12.657950, acc = 0.965000\n", - "L = 12.649171, acc = 0.965000\n", - "L = 12.640421, acc = 0.965000\n", - "L = 12.631699, acc = 0.965000\n", - "L = 12.623006, acc = 0.965000\n", - "L = 12.614340, acc = 0.965000\n", - "L = 12.605703, acc = 0.965000\n", - "L = 12.597093, acc = 0.965000\n", - "L = 12.588511, acc = 0.965000\n", - "L = 12.579956, acc = 0.965000\n", - "L = 12.571429, acc = 0.965000\n", - "L = 12.562928, acc = 0.965000\n", - "L = 12.554455, acc = 0.965000\n", - "L = 12.546009, acc = 0.965000\n", - "L = 12.537590, acc = 0.965000\n", - "L = 12.529197, acc = 0.965000\n", - "L = 12.520831, acc = 0.965000\n", - "L = 12.512491, acc = 0.965000\n", - "L = 12.504177, acc = 0.965000\n", - "L = 12.495889, acc = 0.965000\n", - "L = 12.487627, acc = 0.965000\n", - "L = 12.479391, acc = 0.965000\n", - "L = 12.471180, acc = 0.965000\n", - "L = 12.462995, acc = 0.965000\n", - "L = 12.454836, acc = 0.965000\n", - "L = 12.446701, acc = 0.965000\n", - "L = 12.438592, acc = 0.965000\n", - "L = 12.430508, acc = 0.965000\n", - "L = 12.422448, acc = 0.965000\n", - "L = 12.414413, acc = 0.965000\n", - "L = 12.406403, acc = 0.965000\n", - "L = 12.398417, acc = 0.965000\n", - "L = 12.390456, acc = 0.965000\n", - "L = 12.382519, acc = 0.965000\n", - "L = 12.374605, acc = 0.965000\n", - "L = 12.366716, acc = 0.965000\n", - "L = 12.358851, acc = 0.965000\n", - "L = 12.351009, acc = 0.965000\n", - "L = 12.343190, acc = 0.965000\n", - "L = 12.335396, acc = 0.965000\n", - "L = 12.327624, acc = 0.965000\n", - "L = 12.319876, acc = 0.965000\n", - "L = 12.312151, acc = 0.965000\n", - "L = 12.304448, acc = 0.965000\n", - "L = 12.296769, acc = 0.965000\n", - "L = 12.289112, acc = 0.965000\n", - "L = 12.281478, acc = 0.965000\n", - "L = 12.273866, acc = 0.965000\n", - "L = 12.266277, acc = 0.965000\n", - "L = 12.258710, acc = 0.965000\n", - "L = 12.251165, acc = 0.965000\n", - "L = 12.243642, acc = 0.965000\n", - "L = 12.236141, acc = 0.965000\n", - "L = 12.228662, acc = 0.965000\n", - "L = 12.221204, acc = 0.965000\n", - "L = 12.213768, acc = 0.965000\n", - "L = 12.206354, acc = 0.965000\n", - "L = 12.198961, acc = 0.965000\n", - "L = 12.191589, acc = 0.965000\n", - "L = 12.184238, acc = 0.965000\n", - "L = 12.176908, acc = 0.965000\n", - "L = 12.169599, acc = 0.965000\n", - "L = 12.162311, acc = 0.965000\n", - "L = 12.155044, acc = 0.965000\n", - "L = 12.147797, acc = 0.965000\n", - "L = 12.140571, acc = 0.965000\n", - "L = 12.133365, acc = 0.965000\n", - "L = 12.126180, acc = 0.965000\n", - "L = 12.119015, acc = 0.965000\n", - "L = 12.111869, acc = 0.965000\n" + "L = 18.724930, acc = 0.945000\n", + "L = 18.689812, acc = 0.945000\n", + "L = 18.654838, acc = 0.945000\n", + "L = 18.620008, acc = 0.945000\n", + "L = 18.585322, acc = 0.945000\n", + "L = 18.550781, acc = 0.945000\n", + "L = 18.516383, acc = 0.945000\n", + "L = 18.482129, acc = 0.945000\n", + "L = 18.448019, acc = 0.945000\n", + "L = 18.414052, acc = 0.945000\n", + "L = 18.380229, acc = 0.945000\n", + "L = 18.346548, acc = 0.945000\n", + "L = 18.313010, acc = 0.945000\n", + "L = 18.279615, acc = 0.945000\n", + "L = 18.246363, acc = 0.945000\n", + "L = 18.213253, acc = 0.945000\n", + "L = 18.180284, acc = 0.945000\n", + "L = 18.147458, acc = 0.945000\n", + "L = 18.114773, acc = 0.945000\n", + "L = 18.082229, acc = 0.945000\n", + "L = 18.049826, acc = 0.945000\n", + "L = 18.017564, acc = 0.945000\n", + "L = 17.985442, acc = 0.945000\n", + "L = 17.953460, acc = 0.945000\n", + "L = 17.921619, acc = 0.945000\n", + "L = 17.889916, acc = 0.945000\n", + "L = 17.858353, acc = 0.945000\n", + "L = 17.826929, acc = 0.945000\n", + "L = 17.795643, acc = 0.945000\n", + "L = 17.764496, acc = 0.945000\n", + "L = 17.733486, acc = 0.945000\n", + "L = 17.702614, acc = 0.945000\n", + "L = 17.671879, acc = 0.945000\n", + "L = 17.641281, acc = 0.950000\n", + "L = 17.610819, acc = 0.950000\n", + "L = 17.580493, acc = 0.950000\n", + "L = 17.550303, acc = 0.950000\n", + "L = 17.520248, acc = 0.950000\n", + "L = 17.490328, acc = 0.950000\n", + "L = 17.460543, acc = 0.950000\n", + "L = 17.430891, acc = 0.950000\n", + "L = 17.401373, acc = 0.950000\n", + "L = 17.371989, acc = 0.950000\n", + "L = 17.342737, acc = 0.950000\n", + "L = 17.313617, acc = 0.955000\n", + "L = 17.284630, acc = 0.955000\n", + "L = 17.255774, acc = 0.955000\n", + "L = 17.227049, acc = 0.955000\n", + "L = 17.198455, acc = 0.955000\n", + "L = 17.169991, acc = 0.955000\n", + "L = 17.141656, acc = 0.955000\n", + "L = 17.113451, acc = 0.955000\n", + "L = 17.085375, acc = 0.955000\n", + "L = 17.057427, acc = 0.955000\n", + "L = 17.029607, acc = 0.955000\n", + "L = 17.001914, acc = 0.955000\n", + "L = 16.974348, acc = 0.955000\n", + "L = 16.946909, acc = 0.955000\n", + "L = 16.919596, acc = 0.955000\n", + "L = 16.892408, acc = 0.955000\n", + "L = 16.865345, acc = 0.955000\n", + "L = 16.838407, acc = 0.955000\n", + "L = 16.811592, acc = 0.955000\n", + "L = 16.784901, acc = 0.955000\n", + "L = 16.758334, acc = 0.955000\n", + "L = 16.731888, acc = 0.955000\n", + "L = 16.705565, acc = 0.955000\n", + "L = 16.679364, acc = 0.955000\n", + "L = 16.653283, acc = 0.955000\n", + "L = 16.627323, acc = 0.955000\n", + "L = 16.601482, acc = 0.955000\n", + "L = 16.575762, acc = 0.955000\n", + "L = 16.550160, acc = 0.955000\n", + "L = 16.524677, acc = 0.955000\n", + "L = 16.499311, acc = 0.955000\n", + "L = 16.474064, acc = 0.955000\n", + "L = 16.448933, acc = 0.955000\n", + "L = 16.423918, acc = 0.955000\n", + "L = 16.399019, acc = 0.955000\n", + "L = 16.374236, acc = 0.955000\n", + "L = 16.349567, acc = 0.955000\n", + "L = 16.325013, acc = 0.955000\n", + "L = 16.300573, acc = 0.955000\n", + "L = 16.276246, acc = 0.955000\n", + "L = 16.252031, acc = 0.955000\n", + "L = 16.227929, acc = 0.955000\n", + "L = 16.203938, acc = 0.955000\n", + "L = 16.180059, acc = 0.955000\n", + "L = 16.156290, acc = 0.955000\n", + "L = 16.132632, acc = 0.955000\n", + "L = 16.109083, acc = 0.955000\n", + "L = 16.085643, acc = 0.955000\n", + "L = 16.062311, acc = 0.955000\n", + "L = 16.039088, acc = 0.955000\n", + "L = 16.015972, acc = 0.955000\n", + "L = 15.992963, acc = 0.955000\n", + "L = 15.970061, acc = 0.955000\n", + "L = 15.947264, acc = 0.955000\n", + "L = 15.924573, acc = 0.955000\n", + "L = 15.901986, acc = 0.955000\n", + "L = 15.879504, acc = 0.955000\n", + "L = 15.857126, acc = 0.955000\n", + "L = 15.834851, acc = 0.955000\n", + "L = 15.812679, acc = 0.955000\n", + "L = 15.790610, acc = 0.955000\n", + "L = 15.768641, acc = 0.955000\n", + "L = 15.746775, acc = 0.955000\n", + "L = 15.725008, acc = 0.955000\n", + "L = 15.703343, acc = 0.955000\n", + "L = 15.681776, acc = 0.955000\n", + "L = 15.660309, acc = 0.955000\n", + "L = 15.638941, acc = 0.955000\n", + "L = 15.617670, acc = 0.955000\n", + "L = 15.596498, acc = 0.955000\n", + "L = 15.575422, acc = 0.955000\n", + "L = 15.554443, acc = 0.955000\n", + "L = 15.533561, acc = 0.955000\n", + "L = 15.512773, acc = 0.955000\n", + "L = 15.492081, acc = 0.955000\n", + "L = 15.471484, acc = 0.955000\n", + "L = 15.450980, acc = 0.955000\n", + "L = 15.430570, acc = 0.955000\n", + "L = 15.410254, acc = 0.955000\n", + "L = 15.390029, acc = 0.955000\n", + "L = 15.369897, acc = 0.955000\n", + "L = 15.349857, acc = 0.955000\n", + "L = 15.329907, acc = 0.955000\n", + "L = 15.310049, acc = 0.955000\n", + "L = 15.290280, acc = 0.955000\n", + "L = 15.270601, acc = 0.955000\n", + "L = 15.251011, acc = 0.955000\n", + "L = 15.231510, acc = 0.955000\n", + "L = 15.212097, acc = 0.955000\n", + "L = 15.192772, acc = 0.955000\n", + "L = 15.173534, acc = 0.955000\n", + "L = 15.154383, acc = 0.955000\n", + "L = 15.135318, acc = 0.960000\n", + "L = 15.116339, acc = 0.960000\n", + "L = 15.097445, acc = 0.960000\n", + "L = 15.078636, acc = 0.960000\n", + "L = 15.059911, acc = 0.960000\n", + "L = 15.041271, acc = 0.960000\n", + "L = 15.022714, acc = 0.960000\n", + "L = 15.004239, acc = 0.960000\n", + "L = 14.985848, acc = 0.960000\n", + "L = 14.967538, acc = 0.960000\n", + "L = 14.949310, acc = 0.960000\n", + "L = 14.931164, acc = 0.960000\n", + "L = 14.913098, acc = 0.960000\n", + "L = 14.895112, acc = 0.960000\n", + "L = 14.877206, acc = 0.960000\n", + "L = 14.859379, acc = 0.960000\n", + "L = 14.841632, acc = 0.960000\n", + "L = 14.823963, acc = 0.960000\n", + "L = 14.806371, acc = 0.960000\n", + "L = 14.788858, acc = 0.960000\n", + "L = 14.771422, acc = 0.960000\n", + "L = 14.754062, acc = 0.960000\n", + "L = 14.736779, acc = 0.960000\n", + "L = 14.719571, acc = 0.960000\n", + "L = 14.702439, acc = 0.960000\n", + "L = 14.685382, acc = 0.960000\n", + "L = 14.668400, acc = 0.960000\n", + "L = 14.651492, acc = 0.960000\n", + "L = 14.634658, acc = 0.960000\n", + "L = 14.617896, acc = 0.960000\n", + "L = 14.601208, acc = 0.960000\n", + "L = 14.584593, acc = 0.960000\n", + "L = 14.568049, acc = 0.960000\n", + "L = 14.551577, acc = 0.960000\n", + "L = 14.535176, acc = 0.960000\n", + "L = 14.518847, acc = 0.960000\n", + "L = 14.502587, acc = 0.960000\n", + "L = 14.486398, acc = 0.960000\n", + "L = 14.470278, acc = 0.960000\n", + "L = 14.454228, acc = 0.960000\n", + "L = 14.438247, acc = 0.960000\n", + "L = 14.422334, acc = 0.960000\n", + "L = 14.406489, acc = 0.960000\n", + "L = 14.390712, acc = 0.960000\n", + "L = 14.375002, acc = 0.960000\n", + "L = 14.359359, acc = 0.960000\n", + "L = 14.343782, acc = 0.960000\n", + "L = 14.328272, acc = 0.960000\n", + "L = 14.312827, acc = 0.960000\n", + "L = 14.297448, acc = 0.960000\n", + "L = 14.282134, acc = 0.960000\n", + "L = 14.266885, acc = 0.960000\n", + "L = 14.251700, acc = 0.960000\n", + "L = 14.236578, acc = 0.960000\n", + "L = 14.221521, acc = 0.960000\n", + "L = 14.206526, acc = 0.960000\n", + "L = 14.191595, acc = 0.960000\n", + "L = 14.176725, acc = 0.960000\n", + "L = 14.161918, acc = 0.960000\n", + "L = 14.147173, acc = 0.960000\n", + "L = 14.132489, acc = 0.960000\n", + "L = 14.117866, acc = 0.960000\n", + "L = 14.103304, acc = 0.960000\n", + "L = 14.088802, acc = 0.960000\n", + "L = 14.074360, acc = 0.960000\n", + "L = 14.059978, acc = 0.960000\n", + "L = 14.045655, acc = 0.960000\n", + "L = 14.031391, acc = 0.960000\n", + "L = 14.017185, acc = 0.960000\n", + "L = 14.003038, acc = 0.960000\n", + "L = 13.988949, acc = 0.960000\n", + "L = 13.974917, acc = 0.960000\n", + "L = 13.960943, acc = 0.960000\n", + "L = 13.947026, acc = 0.960000\n", + "L = 13.933165, acc = 0.960000\n", + "L = 13.919361, acc = 0.960000\n", + "L = 13.905613, acc = 0.960000\n", + "L = 13.891920, acc = 0.960000\n", + "L = 13.878282, acc = 0.960000\n", + "L = 13.864700, acc = 0.960000\n", + "L = 13.851172, acc = 0.960000\n", + "L = 13.837699, acc = 0.960000\n", + "L = 13.824280, acc = 0.960000\n", + "L = 13.810915, acc = 0.960000\n", + "L = 13.797603, acc = 0.960000\n", + "L = 13.784344, acc = 0.960000\n", + "L = 13.771138, acc = 0.960000\n", + "L = 13.757985, acc = 0.960000\n", + "L = 13.744884, acc = 0.960000\n", + "L = 13.731834, acc = 0.960000\n", + "L = 13.718837, acc = 0.960000\n", + "L = 13.705891, acc = 0.960000\n", + "L = 13.692996, acc = 0.960000\n", + "L = 13.680151, acc = 0.960000\n", + "L = 13.667357, acc = 0.960000\n", + "L = 13.654614, acc = 0.960000\n", + "L = 13.641920, acc = 0.960000\n", + "L = 13.629276, acc = 0.960000\n", + "L = 13.616681, acc = 0.960000\n", + "L = 13.604135, acc = 0.960000\n", + "L = 13.591638, acc = 0.960000\n", + "L = 13.579190, acc = 0.960000\n", + "L = 13.566789, acc = 0.960000\n", + "L = 13.554437, acc = 0.960000\n", + "L = 13.542132, acc = 0.960000\n", + "L = 13.529875, acc = 0.960000\n", + "L = 13.517665, acc = 0.960000\n", + "L = 13.505501, acc = 0.960000\n", + "L = 13.493385, acc = 0.960000\n", + "L = 13.481314, acc = 0.960000\n", + "L = 13.469290, acc = 0.960000\n", + "L = 13.457311, acc = 0.960000\n", + "L = 13.445378, acc = 0.960000\n", + "L = 13.433490, acc = 0.960000\n", + "L = 13.421648, acc = 0.960000\n", + "L = 13.409850, acc = 0.960000\n", + "L = 13.398096, acc = 0.960000\n", + "L = 13.386387, acc = 0.960000\n", + "L = 13.374722, acc = 0.960000\n", + "L = 13.363101, acc = 0.960000\n", + "L = 13.351523, acc = 0.960000\n", + "L = 13.339988, acc = 0.960000\n", + "L = 13.328496, acc = 0.960000\n", + "L = 13.317048, acc = 0.960000\n", + "L = 13.305641, acc = 0.960000\n", + "L = 13.294277, acc = 0.960000\n", + "L = 13.282955, acc = 0.960000\n", + "L = 13.271675, acc = 0.960000\n", + "L = 13.260437, acc = 0.960000\n", + "L = 13.249239, acc = 0.960000\n", + "L = 13.238083, acc = 0.960000\n", + "L = 13.226968, acc = 0.960000\n", + "L = 13.215894, acc = 0.960000\n", + "L = 13.204859, acc = 0.960000\n", + "L = 13.193866, acc = 0.960000\n", + "L = 13.182912, acc = 0.960000\n", + "L = 13.171997, acc = 0.960000\n", + "L = 13.161123, acc = 0.960000\n", + "L = 13.150287, acc = 0.960000\n", + "L = 13.139491, acc = 0.960000\n", + "L = 13.128734, acc = 0.960000\n", + "L = 13.118015, acc = 0.960000\n", + "L = 13.107335, acc = 0.960000\n", + "L = 13.096693, acc = 0.960000\n", + "L = 13.086088, acc = 0.960000\n", + "L = 13.075522, acc = 0.960000\n", + "L = 13.064993, acc = 0.960000\n", + "L = 13.054502, acc = 0.960000\n", + "L = 13.044048, acc = 0.960000\n", + "L = 13.033631, acc = 0.960000\n", + "L = 13.023250, acc = 0.960000\n", + "L = 13.012906, acc = 0.960000\n", + "L = 13.002599, acc = 0.960000\n", + "L = 12.992327, acc = 0.960000\n", + "L = 12.982092, acc = 0.960000\n", + "L = 12.971892, acc = 0.960000\n", + "L = 12.961728, acc = 0.960000\n", + "L = 12.951599, acc = 0.960000\n", + "L = 12.941505, acc = 0.960000\n", + "L = 12.931447, acc = 0.960000\n", + "L = 12.921423, acc = 0.960000\n", + "L = 12.911433, acc = 0.960000\n", + "L = 12.901478, acc = 0.960000\n", + "L = 12.891558, acc = 0.960000\n", + "L = 12.881671, acc = 0.965000\n", + "L = 12.871818, acc = 0.965000\n", + "L = 12.861999, acc = 0.965000\n", + "L = 12.852213, acc = 0.965000\n", + "L = 12.842460, acc = 0.965000\n", + "L = 12.832741, acc = 0.965000\n", + "L = 12.823054, acc = 0.965000\n", + "L = 12.813400, acc = 0.965000\n", + "L = 12.803779, acc = 0.965000\n", + "L = 12.794190, acc = 0.965000\n", + "L = 12.784633, acc = 0.965000\n", + "L = 12.775109, acc = 0.965000\n", + "L = 12.765616, acc = 0.965000\n", + "L = 12.756155, acc = 0.965000\n", + "L = 12.746725, acc = 0.965000\n", + "L = 12.737326, acc = 0.965000\n", + "L = 12.727959, acc = 0.965000\n", + "L = 12.718623, acc = 0.965000\n", + "L = 12.709318, acc = 0.965000\n", + "L = 12.700043, acc = 0.965000\n", + "L = 12.690799, acc = 0.965000\n", + "L = 12.681585, acc = 0.965000\n", + "L = 12.672401, acc = 0.965000\n", + "L = 12.663247, acc = 0.965000\n", + "L = 12.654123, acc = 0.965000\n", + "L = 12.645029, acc = 0.965000\n", + "L = 12.635964, acc = 0.965000\n", + "L = 12.626929, acc = 0.965000\n", + "L = 12.617922, acc = 0.965000\n", + "L = 12.608945, acc = 0.965000\n", + "L = 12.599997, acc = 0.965000\n", + "L = 12.591077, acc = 0.965000\n", + "L = 12.582187, acc = 0.965000\n", + "L = 12.573324, acc = 0.965000\n", + "L = 12.564490, acc = 0.965000\n", + "L = 12.555684, acc = 0.965000\n", + "L = 12.546905, acc = 0.965000\n", + "L = 12.538155, acc = 0.965000\n", + "L = 12.529432, acc = 0.965000\n", + "L = 12.520737, acc = 0.965000\n", + "L = 12.512070, acc = 0.965000\n", + "L = 12.503429, acc = 0.965000\n", + "L = 12.494816, acc = 0.965000\n", + "L = 12.486229, acc = 0.965000\n", + "L = 12.477670, acc = 0.965000\n", + "L = 12.469137, acc = 0.965000\n", + "L = 12.460630, acc = 0.965000\n", + "L = 12.452150, acc = 0.965000\n", + "L = 12.443697, acc = 0.965000\n", + "L = 12.435269, acc = 0.965000\n", + "L = 12.426867, acc = 0.965000\n", + "L = 12.418491, acc = 0.965000\n", + "L = 12.410141, acc = 0.965000\n", + "L = 12.401817, acc = 0.965000\n", + "L = 12.393517, acc = 0.965000\n", + "L = 12.385244, acc = 0.965000\n", + "L = 12.376995, acc = 0.965000\n", + "L = 12.368771, acc = 0.965000\n", + "L = 12.360572, acc = 0.965000\n", + "L = 12.352399, acc = 0.965000\n", + "L = 12.344249, acc = 0.965000\n", + "L = 12.336124, acc = 0.965000\n", + "L = 12.328024, acc = 0.965000\n", + "L = 12.319948, acc = 0.965000\n", + "L = 12.311896, acc = 0.965000\n", + "L = 12.303868, acc = 0.965000\n", + "L = 12.295864, acc = 0.965000\n", + "L = 12.287884, acc = 0.965000\n", + "L = 12.279927, acc = 0.965000\n", + "L = 12.271994, acc = 0.965000\n", + "L = 12.264084, acc = 0.965000\n", + "L = 12.256198, acc = 0.965000\n", + "L = 12.248335, acc = 0.965000\n", + "L = 12.240495, acc = 0.965000\n", + "L = 12.232677, acc = 0.965000\n", + "L = 12.224883, acc = 0.965000\n", + "L = 12.217111, acc = 0.965000\n", + "L = 12.209362, acc = 0.965000\n", + "L = 12.201636, acc = 0.965000\n", + "L = 12.193931, acc = 0.965000\n", + "L = 12.186249, acc = 0.965000\n", + "L = 12.178589, acc = 0.965000\n", + "L = 12.170951, acc = 0.965000\n", + "L = 12.163335, acc = 0.965000\n", + "L = 12.155741, acc = 0.965000\n", + "L = 12.148169, acc = 0.965000\n", + "L = 12.140618, acc = 0.965000\n", + "L = 12.133088, acc = 0.965000\n", + "L = 12.125580, acc = 0.965000\n", + "L = 12.118093, acc = 0.965000\n", + "L = 12.110628, acc = 0.965000\n", + "L = 12.103183, acc = 0.965000\n", + "L = 12.095759, acc = 0.965000\n", + "L = 12.088356, acc = 0.965000\n", + "L = 12.080974, acc = 0.965000\n", + "L = 12.073613, acc = 0.965000\n", + "L = 12.066272, acc = 0.965000\n", + "L = 12.058951, acc = 0.965000\n", + "L = 12.051651, acc = 0.965000\n", + "L = 12.044371, acc = 0.965000\n", + "L = 12.037111, acc = 0.965000\n", + "L = 12.029871, acc = 0.965000\n", + "L = 12.022651, acc = 0.965000\n", + "L = 12.015451, acc = 0.965000\n", + "L = 12.008270, acc = 0.965000\n", + "L = 12.001109, acc = 0.965000\n", + "L = 11.993968, acc = 0.965000\n", + "L = 11.986846, acc = 0.965000\n", + "L = 11.979744, acc = 0.965000\n", + "L = 11.972660, acc = 0.965000\n", + "L = 11.965596, acc = 0.965000\n", + "L = 11.958551, acc = 0.965000\n", + "L = 11.951525, acc = 0.965000\n", + "L = 11.944518, acc = 0.965000\n", + "L = 11.937530, acc = 0.965000\n", + "L = 11.930560, acc = 0.965000\n", + "L = 11.923609, acc = 0.965000\n", + "L = 11.916676, acc = 0.965000\n", + "L = 11.909762, acc = 0.965000\n", + "L = 11.902866, acc = 0.965000\n", + "L = 11.895989, acc = 0.965000\n", + "L = 11.889130, acc = 0.965000\n", + "L = 11.882288, acc = 0.965000\n", + "L = 11.875465, acc = 0.965000\n", + "L = 11.868659, acc = 0.965000\n", + "L = 11.861872, acc = 0.965000\n", + "L = 11.855102, acc = 0.965000\n", + "L = 11.848350, acc = 0.965000\n", + "L = 11.841615, acc = 0.965000\n", + "L = 11.834898, acc = 0.965000\n", + "L = 11.828198, acc = 0.965000\n", + "L = 11.821516, acc = 0.965000\n", + "L = 11.814851, acc = 0.965000\n", + "L = 11.808203, acc = 0.965000\n", + "L = 11.801572, acc = 0.965000\n", + "L = 11.794958, acc = 0.965000\n", + "L = 11.788361, acc = 0.965000\n", + "L = 11.781780, acc = 0.965000\n", + "L = 11.775217, acc = 0.965000\n", + "L = 11.768670, acc = 0.965000\n", + "L = 11.762140, acc = 0.965000\n", + "L = 11.755626, acc = 0.965000\n", + "L = 11.749129, acc = 0.965000\n", + "L = 11.742648, acc = 0.965000\n", + "L = 11.736184, acc = 0.965000\n", + "L = 11.729735, acc = 0.965000\n", + "L = 11.723303, acc = 0.965000\n", + "L = 11.716887, acc = 0.965000\n", + "L = 11.710487, acc = 0.965000\n", + "L = 11.704103, acc = 0.965000\n", + "L = 11.697735, acc = 0.965000\n", + "L = 11.691382, acc = 0.965000\n", + "L = 11.685045, acc = 0.965000\n", + "L = 11.678724, acc = 0.965000\n", + "L = 11.672419, acc = 0.965000\n", + "L = 11.666129, acc = 0.965000\n", + "L = 11.659854, acc = 0.965000\n", + "L = 11.653595, acc = 0.965000\n", + "L = 11.647351, acc = 0.965000\n", + "L = 11.641122, acc = 0.965000\n", + "L = 11.634908, acc = 0.965000\n", + "L = 11.628710, acc = 0.965000\n", + "L = 11.622526, acc = 0.965000\n", + "L = 11.616358, acc = 0.965000\n", + "L = 11.610204, acc = 0.965000\n", + "L = 11.604065, acc = 0.965000\n", + "L = 11.597941, acc = 0.965000\n", + "L = 11.591832, acc = 0.965000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "L = 12.104744, acc = 0.965000\n", - "L = 12.097639, acc = 0.965000\n", - "L = 12.090553, acc = 0.965000\n", - "L = 12.083487, acc = 0.965000\n", - "L = 12.076441, acc = 0.965000\n", - "L = 12.069414, acc = 0.965000\n", - "L = 12.062407, acc = 0.965000\n", - "L = 12.055419, acc = 0.965000\n", - "L = 12.048450, acc = 0.965000\n", - "L = 12.041500, acc = 0.965000\n", - "L = 12.034569, acc = 0.965000\n", - "L = 12.027657, acc = 0.965000\n", - "L = 12.020764, acc = 0.965000\n", - "L = 12.013890, acc = 0.965000\n", - "L = 12.007034, acc = 0.965000\n", - "L = 12.000197, acc = 0.965000\n", - "L = 11.993379, acc = 0.965000\n", - "L = 11.986578, acc = 0.965000\n", - "L = 11.979796, acc = 0.965000\n", - "L = 11.973033, acc = 0.965000\n", - "L = 11.966287, acc = 0.965000\n", - "L = 11.959559, acc = 0.965000\n", - "L = 11.952849, acc = 0.965000\n", - "L = 11.946157, acc = 0.965000\n", - "L = 11.939483, acc = 0.965000\n", - "L = 11.932827, acc = 0.965000\n", - "L = 11.926188, acc = 0.965000\n", - "L = 11.919566, acc = 0.965000\n", - "L = 11.912962, acc = 0.965000\n", - "L = 11.906376, acc = 0.965000\n", - "L = 11.899806, acc = 0.965000\n", - "L = 11.893254, acc = 0.965000\n", - "L = 11.886718, acc = 0.965000\n", - "L = 11.880200, acc = 0.965000\n", - "L = 11.873699, acc = 0.965000\n", - "L = 11.867214, acc = 0.965000\n", - "L = 11.860747, acc = 0.965000\n", - "L = 11.854295, acc = 0.965000\n", - "L = 11.847861, acc = 0.965000\n", - "L = 11.841443, acc = 0.965000\n", - "L = 11.835041, acc = 0.965000\n", - "L = 11.828656, acc = 0.965000\n", - "L = 11.822287, acc = 0.965000\n", - "L = 11.815935, acc = 0.965000\n", - "L = 11.809598, acc = 0.965000\n", - "L = 11.803278, acc = 0.965000\n", - "L = 11.796973, acc = 0.965000\n", - "L = 11.790684, acc = 0.965000\n", - "L = 11.784412, acc = 0.965000\n", - "L = 11.778154, acc = 0.965000\n", - "L = 11.771913, acc = 0.965000\n", - "L = 11.765687, acc = 0.965000\n", - "L = 11.759477, acc = 0.965000\n", - "L = 11.753282, acc = 0.970000\n", - "L = 11.747103, acc = 0.970000\n", - "L = 11.740939, acc = 0.970000\n", - "L = 11.734790, acc = 0.970000\n", - "L = 11.728656, acc = 0.970000\n", - "L = 11.722538, acc = 0.970000\n", - "L = 11.716434, acc = 0.970000\n", - "L = 11.710346, acc = 0.970000\n", - "L = 11.704272, acc = 0.970000\n", - "L = 11.698213, acc = 0.970000\n", - "L = 11.692169, acc = 0.970000\n", - "L = 11.686140, acc = 0.970000\n", - "L = 11.680125, acc = 0.970000\n", - "L = 11.674125, acc = 0.970000\n", - "L = 11.668140, acc = 0.970000\n", - "L = 11.662169, acc = 0.970000\n", - "L = 11.656212, acc = 0.970000\n", - "L = 11.650269, acc = 0.970000\n", - "L = 11.644341, acc = 0.970000\n", - "L = 11.638427, acc = 0.970000\n", - "L = 11.632527, acc = 0.970000\n", - "L = 11.626641, acc = 0.970000\n", - "L = 11.620769, acc = 0.970000\n", - "L = 11.614911, acc = 0.970000\n", - "L = 11.609067, acc = 0.970000\n", - "L = 11.603237, acc = 0.970000\n", - "L = 11.597420, acc = 0.970000\n", - "L = 11.591618, acc = 0.970000\n", - "L = 11.585828, acc = 0.970000\n", - "L = 11.580053, acc = 0.970000\n", - "L = 11.574291, acc = 0.970000\n", - "L = 11.568542, acc = 0.970000\n", - "L = 11.562807, acc = 0.970000\n", - "L = 11.557085, acc = 0.970000\n", - "L = 11.551376, acc = 0.970000\n", - "L = 11.545680, acc = 0.970000\n", - "L = 11.539998, acc = 0.970000\n", - "L = 11.534329, acc = 0.970000\n", - "L = 11.528673, acc = 0.970000\n", - "L = 11.523029, acc = 0.970000\n", - "L = 11.517399, acc = 0.970000\n", - "L = 11.511782, acc = 0.970000\n", - "L = 11.506177, acc = 0.970000\n", - "L = 11.500585, acc = 0.970000\n", - "L = 11.495006, acc = 0.970000\n", - "L = 11.489440, acc = 0.970000\n", - "L = 11.483886, acc = 0.970000\n", - "L = 11.478345, acc = 0.970000\n", - "L = 11.472816, acc = 0.970000\n", - "L = 11.467300, acc = 0.970000\n", - "L = 11.461796, acc = 0.970000\n", - "L = 11.456304, acc = 0.970000\n", - "L = 11.450825, acc = 0.970000\n", - "L = 11.445358, acc = 0.970000\n", - "L = 11.439903, acc = 0.970000\n", - "L = 11.434461, acc = 0.970000\n", - "L = 11.429030, acc = 0.970000\n", - "L = 11.423612, acc = 0.970000\n", - "L = 11.418205, acc = 0.970000\n", - "L = 11.412810, acc = 0.970000\n", - "L = 11.407428, acc = 0.970000\n", - "L = 11.402057, acc = 0.970000\n", - "L = 11.396698, acc = 0.970000\n", - "L = 11.391351, acc = 0.970000\n", - "L = 11.386015, acc = 0.970000\n", - "L = 11.380691, acc = 0.970000\n", - "L = 11.375379, acc = 0.970000\n", - "L = 11.370078, acc = 0.970000\n", - "L = 11.364789, acc = 0.970000\n", - "L = 11.359511, acc = 0.970000\n", - "L = 11.354245, acc = 0.970000\n", - "L = 11.348990, acc = 0.970000\n", - "L = 11.343746, acc = 0.970000\n", - "L = 11.338514, acc = 0.970000\n", - "L = 11.333293, acc = 0.970000\n", - "L = 11.328083, acc = 0.970000\n", - "L = 11.322884, acc = 0.970000\n", - "L = 11.317696, acc = 0.970000\n", - "L = 11.312520, acc = 0.970000\n", - "L = 11.307354, acc = 0.970000\n", - "L = 11.302200, acc = 0.970000\n", - "L = 11.297056, acc = 0.970000\n", - "L = 11.291923, acc = 0.970000\n", - "L = 11.286802, acc = 0.970000\n", - "L = 11.281691, acc = 0.970000\n", - "L = 11.276590, acc = 0.970000\n", - "L = 11.271501, acc = 0.970000\n", - "L = 11.266422, acc = 0.970000\n", - "L = 11.261354, acc = 0.970000\n", - "L = 11.256296, acc = 0.970000\n", - "L = 11.251249, acc = 0.970000\n", - "L = 11.246213, acc = 0.970000\n", - "L = 11.241187, acc = 0.970000\n", - "L = 11.236171, acc = 0.970000\n", - "L = 11.231166, acc = 0.970000\n", - "L = 11.226172, acc = 0.970000\n", - "L = 11.221187, acc = 0.970000\n", - "L = 11.216213, acc = 0.970000\n", - "L = 11.211249, acc = 0.970000\n", - "L = 11.206296, acc = 0.970000\n", - "L = 11.201352, acc = 0.970000\n", - "L = 11.196419, acc = 0.970000\n", - "L = 11.191496, acc = 0.970000\n", - "L = 11.186583, acc = 0.970000\n", - "L = 11.181680, acc = 0.970000\n", - "L = 11.176787, acc = 0.970000\n", - "L = 11.171904, acc = 0.970000\n", - "L = 11.167031, acc = 0.970000\n", - "L = 11.162167, acc = 0.970000\n", - "L = 11.157314, acc = 0.970000\n", - "L = 11.152470, acc = 0.970000\n", - "L = 11.147637, acc = 0.970000\n", - "L = 11.142813, acc = 0.970000\n", - "L = 11.137998, acc = 0.970000\n", - "L = 11.133194, acc = 0.970000\n", - "L = 11.128399, acc = 0.970000\n", - "L = 11.123613, acc = 0.970000\n", - "L = 11.118838, acc = 0.970000\n", - "L = 11.114072, acc = 0.970000\n", - "L = 11.109315, acc = 0.970000\n", - "L = 11.104568, acc = 0.970000\n", - "L = 11.099830, acc = 0.970000\n", - "L = 11.095102, acc = 0.970000\n", - "L = 11.090383, acc = 0.970000\n", - "L = 11.085673, acc = 0.970000\n", - "L = 11.080973, acc = 0.970000\n", - "L = 11.076282, acc = 0.970000\n", - "L = 11.071600, acc = 0.970000\n", - "L = 11.066928, acc = 0.970000\n", - "L = 11.062264, acc = 0.970000\n", - "L = 11.057610, acc = 0.970000\n", - "L = 11.052965, acc = 0.970000\n", - "L = 11.048329, acc = 0.970000\n", - "L = 11.043702, acc = 0.970000\n", - "L = 11.039085, acc = 0.970000\n", - "L = 11.034476, acc = 0.970000\n", - "L = 11.029876, acc = 0.970000\n", - "L = 11.025285, acc = 0.970000\n", - "L = 11.020703, acc = 0.970000\n", - "L = 11.016130, acc = 0.970000\n", - "L = 11.011566, acc = 0.970000\n", - "L = 11.007011, acc = 0.970000\n", - "L = 11.002464, acc = 0.970000\n", - "L = 10.997927, acc = 0.970000\n", - "L = 10.993398, acc = 0.970000\n", - "L = 10.988877, acc = 0.970000\n", - "L = 10.984366, acc = 0.970000\n", - "L = 10.979863, acc = 0.970000\n", - "L = 10.975369, acc = 0.970000\n", - "L = 10.970883, acc = 0.970000\n", - "L = 10.966406, acc = 0.970000\n", - "L = 10.961938, acc = 0.970000\n", - "L = 10.957478, acc = 0.970000\n", - "L = 10.953026, acc = 0.970000\n", - "L = 10.948583, acc = 0.970000\n", - "L = 10.944149, acc = 0.970000\n", - "L = 10.939723, acc = 0.970000\n", - "L = 10.935305, acc = 0.970000\n", - "L = 10.930896, acc = 0.965000\n", - "L = 10.926495, acc = 0.965000\n", - "L = 10.922102, acc = 0.965000\n", - "L = 10.917718, acc = 0.965000\n", - "L = 10.913342, acc = 0.965000\n", - "L = 10.908974, acc = 0.965000\n", - "L = 10.904614, acc = 0.965000\n", - "L = 10.900263, acc = 0.965000\n", - "L = 10.895920, acc = 0.965000\n", - "L = 10.891585, acc = 0.965000\n", - "L = 10.887258, acc = 0.965000\n", - "L = 10.882939, acc = 0.965000\n", - "L = 10.878628, acc = 0.965000\n", - "L = 10.874325, acc = 0.965000\n", - "L = 10.870031, acc = 0.965000\n", - "L = 10.865744, acc = 0.965000\n", - "L = 10.861465, acc = 0.965000\n", - "L = 10.857195, acc = 0.965000\n", - "L = 10.852932, acc = 0.965000\n", - "L = 10.848677, acc = 0.965000\n", - "L = 10.844430, acc = 0.965000\n", - "L = 10.840191, acc = 0.965000\n", - "L = 10.835959, acc = 0.965000\n", - "L = 10.831736, acc = 0.965000\n", - "L = 10.827520, acc = 0.965000\n", - "L = 10.823312, acc = 0.965000\n", - "L = 10.819112, acc = 0.965000\n", - "L = 10.814919, acc = 0.965000\n", - "L = 10.810735, acc = 0.965000\n", - "L = 10.806558, acc = 0.965000\n", - "L = 10.802388, acc = 0.965000\n", - "L = 10.798226, acc = 0.965000\n", - "L = 10.794072, acc = 0.965000\n", - "L = 10.789926, acc = 0.965000\n", - "L = 10.785787, acc = 0.965000\n", - "L = 10.781655, acc = 0.965000\n", - "L = 10.777531, acc = 0.965000\n", - "L = 10.773415, acc = 0.965000\n", - "L = 10.769306, acc = 0.965000\n", - "L = 10.765205, acc = 0.965000\n", - "L = 10.761111, acc = 0.965000\n", - "L = 10.757024, acc = 0.965000\n", - "L = 10.752945, acc = 0.965000\n", - "L = 10.748873, acc = 0.965000\n", - "L = 10.744809, acc = 0.965000\n", - "L = 10.740752, acc = 0.965000\n", - "L = 10.736702, acc = 0.965000\n", - "L = 10.732660, acc = 0.965000\n", - "L = 10.728625, acc = 0.965000\n", - "L = 10.724597, acc = 0.965000\n", - "L = 10.720576, acc = 0.965000\n", - "L = 10.716563, acc = 0.965000\n", - "L = 10.712557, acc = 0.965000\n", - "L = 10.708558, acc = 0.965000\n", - "L = 10.704566, acc = 0.965000\n", - "L = 10.700582, acc = 0.965000\n", - "L = 10.696604, acc = 0.965000\n", - "L = 10.692634, acc = 0.965000\n", - "L = 10.688671, acc = 0.965000\n", - "L = 10.684715, acc = 0.965000\n", - "L = 10.680766, acc = 0.965000\n", - "L = 10.676824, acc = 0.965000\n", - "L = 10.672889, acc = 0.965000\n", - "L = 10.668961, acc = 0.965000\n", - "L = 10.665040, acc = 0.965000\n", - "L = 10.661126, acc = 0.965000\n", - "L = 10.657219, acc = 0.965000\n", - "L = 10.653318, acc = 0.965000\n", - "L = 10.649425, acc = 0.965000\n", - "L = 10.645539, acc = 0.965000\n", - "L = 10.641659, acc = 0.965000\n", - "L = 10.637787, acc = 0.965000\n", - "L = 10.633921, acc = 0.965000\n", - "L = 10.630062, acc = 0.965000\n", - "L = 10.626210, acc = 0.965000\n", - "L = 10.622365, acc = 0.965000\n", - "L = 10.618526, acc = 0.965000\n", - "L = 10.614695, acc = 0.965000\n", - "L = 10.610870, acc = 0.965000\n", - "L = 10.607051, acc = 0.965000\n", - "L = 10.603240, acc = 0.965000\n", - "L = 10.599435, acc = 0.965000\n", - "L = 10.595637, acc = 0.965000\n", - "L = 10.591845, acc = 0.965000\n", - "L = 10.588060, acc = 0.965000\n", - "L = 10.584282, acc = 0.965000\n", - "L = 10.580510, acc = 0.965000\n", - "L = 10.576745, acc = 0.965000\n", - "L = 10.572987, acc = 0.965000\n", - "L = 10.569235, acc = 0.965000\n", - "L = 10.565490, acc = 0.965000\n", - "L = 10.561751, acc = 0.965000\n", - "L = 10.558019, acc = 0.965000\n", - "L = 10.554293, acc = 0.965000\n", - "L = 10.550574, acc = 0.965000\n", - "L = 10.546861, acc = 0.965000\n", - "L = 10.543154, acc = 0.965000\n", - "L = 10.539454, acc = 0.965000\n", - "L = 10.535761, acc = 0.965000\n", - "L = 10.532074, acc = 0.965000\n", - "L = 10.528393, acc = 0.965000\n", - "L = 10.524719, acc = 0.965000\n", - "L = 10.521051, acc = 0.965000\n", - "L = 10.517389, acc = 0.965000\n", - "L = 10.513734, acc = 0.965000\n", - "L = 10.510085, acc = 0.965000\n", - "L = 10.506442, acc = 0.965000\n", - "L = 10.502806, acc = 0.965000\n", - "L = 10.499176, acc = 0.965000\n", - "L = 10.495552, acc = 0.965000\n", - "L = 10.491934, acc = 0.965000\n", - "L = 10.488323, acc = 0.965000\n", - "L = 10.484717, acc = 0.965000\n", - "L = 10.481118, acc = 0.965000\n", - "L = 10.477526, acc = 0.965000\n", - "L = 10.473939, acc = 0.965000\n", - "L = 10.470359, acc = 0.965000\n", - "L = 10.466784, acc = 0.965000\n", - "L = 10.463216, acc = 0.965000\n", - "L = 10.459654, acc = 0.965000\n", - "L = 10.456098, acc = 0.965000\n", - "L = 10.452548, acc = 0.965000\n", - "L = 10.449004, acc = 0.965000\n", - "L = 10.445466, acc = 0.965000\n", - "L = 10.441935, acc = 0.965000\n", - "L = 10.438409, acc = 0.965000\n", - "L = 10.434889, acc = 0.965000\n", - "L = 10.431376, acc = 0.965000\n", - "L = 10.427868, acc = 0.965000\n", - "L = 10.424366, acc = 0.965000\n", - "L = 10.420870, acc = 0.965000\n", - "L = 10.417381, acc = 0.965000\n", - "L = 10.413897, acc = 0.965000\n", - "L = 10.410419, acc = 0.965000\n", - "L = 10.406947, acc = 0.965000\n", - "L = 10.403481, acc = 0.965000\n", - "L = 10.400020, acc = 0.965000\n", - "L = 10.396566, acc = 0.965000\n", - "L = 10.393117, acc = 0.965000\n", - "L = 10.389675, acc = 0.965000\n", - "L = 10.386238, acc = 0.965000\n", - "L = 10.382807, acc = 0.965000\n", - "L = 10.379381, acc = 0.965000\n", - "L = 10.375962, acc = 0.965000\n", - "L = 10.372548, acc = 0.965000\n", - "L = 10.369140, acc = 0.965000\n", - "L = 10.365738, acc = 0.965000\n", - "L = 10.362341, acc = 0.965000\n", - "L = 10.358951, acc = 0.965000\n", - "L = 10.355566, acc = 0.965000\n", - "L = 10.352186, acc = 0.965000\n", - "L = 10.348813, acc = 0.965000\n", - "L = 10.345445, acc = 0.965000\n", - "L = 10.342082, acc = 0.965000\n", - "L = 10.338726, acc = 0.965000\n", - "L = 10.335375, acc = 0.965000\n", - "L = 10.332029, acc = 0.965000\n", - "L = 10.328690, acc = 0.965000\n", - "L = 10.325355, acc = 0.965000\n", - "L = 10.322027, acc = 0.965000\n", - "L = 10.318704, acc = 0.965000\n", - "L = 10.315386, acc = 0.965000\n", - "L = 10.312074, acc = 0.965000\n", - "L = 10.308768, acc = 0.965000\n", - "L = 10.305467, acc = 0.965000\n", - "L = 10.302172, acc = 0.965000\n", - "L = 10.298882, acc = 0.965000\n", - "L = 10.295597, acc = 0.965000\n", - "L = 10.292319, acc = 0.965000\n", - "L = 10.289045, acc = 0.965000\n", - "L = 10.285777, acc = 0.965000\n", - "L = 10.282515, acc = 0.965000\n", - "L = 10.279258, acc = 0.965000\n", - "L = 10.276006, acc = 0.965000\n", - "L = 10.272760, acc = 0.965000\n", - "L = 10.269519, acc = 0.965000\n", - "L = 10.266283, acc = 0.965000\n", - "L = 10.263053, acc = 0.965000\n", - "L = 10.259828, acc = 0.965000\n", - "L = 10.256609, acc = 0.965000\n", - "L = 10.253395, acc = 0.965000\n", - "L = 10.250186, acc = 0.965000\n", - "L = 10.246983, acc = 0.965000\n", - "L = 10.243785, acc = 0.965000\n", - "L = 10.240592, acc = 0.965000\n", - "L = 10.237404, acc = 0.965000\n", - "L = 10.234222, acc = 0.965000\n", - "L = 10.231045, acc = 0.965000\n", - "L = 10.227873, acc = 0.965000\n", - "L = 10.224707, acc = 0.965000\n", - "L = 10.221545, acc = 0.965000\n", - "L = 10.218389, acc = 0.965000\n", - "L = 10.215238, acc = 0.965000\n", - "L = 10.212092, acc = 0.965000\n", - "L = 10.208952, acc = 0.965000\n", - "L = 10.205816, acc = 0.965000\n", - "L = 10.202686, acc = 0.965000\n", - "L = 10.199561, acc = 0.965000\n", - "L = 10.196441, acc = 0.965000\n", - "L = 10.193326, acc = 0.965000\n", - "L = 10.190216, acc = 0.965000\n", - "L = 10.187112, acc = 0.965000\n", - "L = 10.184012, acc = 0.965000\n", - "L = 10.180918, acc = 0.965000\n", - "L = 10.177828, acc = 0.965000\n", - "L = 10.174744, acc = 0.965000\n", - "L = 10.171665, acc = 0.965000\n", - "L = 10.168591, acc = 0.965000\n", - "L = 10.165521, acc = 0.965000\n", - "L = 10.162457, acc = 0.965000\n", - "L = 10.159398, acc = 0.965000\n", - "L = 10.156344, acc = 0.965000\n", - "L = 10.153294, acc = 0.965000\n", - "L = 10.150250, acc = 0.965000\n", - "L = 10.147211, acc = 0.965000\n", - "L = 10.144176, acc = 0.965000\n", - "L = 10.141147, acc = 0.965000\n", - "L = 10.138122, acc = 0.965000\n", - "L = 10.135103, acc = 0.965000\n", - "L = 10.132088, acc = 0.965000\n", - "L = 10.129078, acc = 0.965000\n", - "L = 10.126073, acc = 0.965000\n", - "L = 10.123073, acc = 0.965000\n", - "L = 10.120078, acc = 0.965000\n", - "L = 10.117088, acc = 0.965000\n", - "L = 10.114103, acc = 0.965000\n", - "L = 10.111122, acc = 0.965000\n", - "L = 10.108146, acc = 0.965000\n", - "L = 10.105175, acc = 0.965000\n", - "L = 10.102209, acc = 0.965000\n" + "L = 11.585737, acc = 0.965000\n", + "L = 11.579657, acc = 0.965000\n", + "L = 11.573591, acc = 0.965000\n", + "L = 11.567539, acc = 0.965000\n", + "L = 11.561503, acc = 0.965000\n", + "L = 11.555480, acc = 0.965000\n", + "L = 11.549472, acc = 0.965000\n", + "L = 11.543477, acc = 0.965000\n", + "L = 11.537497, acc = 0.965000\n", + "L = 11.531531, acc = 0.965000\n", + "L = 11.525579, acc = 0.965000\n", + "L = 11.519641, acc = 0.965000\n", + "L = 11.513717, acc = 0.965000\n", + "L = 11.507807, acc = 0.965000\n", + "L = 11.501910, acc = 0.965000\n", + "L = 11.496027, acc = 0.965000\n", + "L = 11.490158, acc = 0.965000\n", + "L = 11.484302, acc = 0.965000\n", + "L = 11.478460, acc = 0.965000\n", + "L = 11.472631, acc = 0.965000\n", + "L = 11.466816, acc = 0.965000\n", + "L = 11.461014, acc = 0.965000\n", + "L = 11.455226, acc = 0.965000\n", + "L = 11.449450, acc = 0.965000\n", + "L = 11.443688, acc = 0.965000\n", + "L = 11.437939, acc = 0.965000\n", + "L = 11.432203, acc = 0.965000\n", + "L = 11.426480, acc = 0.965000\n", + "L = 11.420770, acc = 0.965000\n", + "L = 11.415073, acc = 0.965000\n", + "L = 11.409389, acc = 0.965000\n", + "L = 11.403718, acc = 0.965000\n", + "L = 11.398059, acc = 0.965000\n", + "L = 11.392413, acc = 0.965000\n", + "L = 11.386780, acc = 0.965000\n", + "L = 11.381159, acc = 0.965000\n", + "L = 11.375551, acc = 0.965000\n", + "L = 11.369956, acc = 0.965000\n", + "L = 11.364372, acc = 0.965000\n", + "L = 11.358802, acc = 0.965000\n", + "L = 11.353243, acc = 0.965000\n", + "L = 11.347697, acc = 0.965000\n", + "L = 11.342163, acc = 0.965000\n", + "L = 11.336642, acc = 0.965000\n", + "L = 11.331132, acc = 0.965000\n", + "L = 11.325635, acc = 0.965000\n", + "L = 11.320149, acc = 0.965000\n", + "L = 11.314676, acc = 0.965000\n", + "L = 11.309215, acc = 0.965000\n", + "L = 11.303765, acc = 0.965000\n", + "L = 11.298328, acc = 0.965000\n", + "L = 11.292902, acc = 0.965000\n", + "L = 11.287488, acc = 0.965000\n", + "L = 11.282086, acc = 0.965000\n", + "L = 11.276695, acc = 0.965000\n", + "L = 11.271316, acc = 0.965000\n", + "L = 11.265949, acc = 0.965000\n", + "L = 11.260593, acc = 0.965000\n", + "L = 11.255249, acc = 0.965000\n", + "L = 11.249916, acc = 0.965000\n", + "L = 11.244594, acc = 0.965000\n", + "L = 11.239284, acc = 0.965000\n", + "L = 11.233985, acc = 0.965000\n", + "L = 11.228698, acc = 0.965000\n", + "L = 11.223422, acc = 0.965000\n", + "L = 11.218157, acc = 0.965000\n", + "L = 11.212903, acc = 0.965000\n", + "L = 11.207660, acc = 0.965000\n", + "L = 11.202428, acc = 0.965000\n", + "L = 11.197208, acc = 0.965000\n", + "L = 11.191998, acc = 0.965000\n", + "L = 11.186799, acc = 0.965000\n", + "L = 11.181612, acc = 0.965000\n", + "L = 11.176435, acc = 0.965000\n", + "L = 11.171268, acc = 0.965000\n", + "L = 11.166113, acc = 0.965000\n", + "L = 11.160969, acc = 0.965000\n", + "L = 11.155835, acc = 0.965000\n", + "L = 11.150711, acc = 0.965000\n", + "L = 11.145599, acc = 0.965000\n", + "L = 11.140497, acc = 0.965000\n", + "L = 11.135405, acc = 0.965000\n", + "L = 11.130325, acc = 0.965000\n", + "L = 11.125254, acc = 0.965000\n", + "L = 11.120194, acc = 0.965000\n", + "L = 11.115144, acc = 0.965000\n", + "L = 11.110105, acc = 0.965000\n", + "L = 11.105076, acc = 0.965000\n", + "L = 11.100058, acc = 0.965000\n", + "L = 11.095049, acc = 0.965000\n", + "L = 11.090051, acc = 0.965000\n", + "L = 11.085063, acc = 0.965000\n", + "L = 11.080085, acc = 0.965000\n", + "L = 11.075118, acc = 0.965000\n", + "L = 11.070160, acc = 0.965000\n", + "L = 11.065212, acc = 0.965000\n", + "L = 11.060275, acc = 0.965000\n", + "L = 11.055347, acc = 0.965000\n", + "L = 11.050430, acc = 0.965000\n", + "L = 11.045522, acc = 0.965000\n", + "L = 11.040624, acc = 0.965000\n", + "L = 11.035736, acc = 0.965000\n", + "L = 11.030857, acc = 0.970000\n", + "L = 11.025989, acc = 0.970000\n", + "L = 11.021130, acc = 0.970000\n", + "L = 11.016281, acc = 0.970000\n", + "L = 11.011442, acc = 0.970000\n", + "L = 11.006612, acc = 0.970000\n", + "L = 11.001792, acc = 0.970000\n", + "L = 10.996981, acc = 0.970000\n", + "L = 10.992180, acc = 0.970000\n", + "L = 10.987388, acc = 0.970000\n", + "L = 10.982606, acc = 0.970000\n", + "L = 10.977834, acc = 0.970000\n", + "L = 10.973070, acc = 0.970000\n", + "L = 10.968317, acc = 0.970000\n", + "L = 10.963572, acc = 0.970000\n", + "L = 10.958837, acc = 0.970000\n", + "L = 10.954111, acc = 0.970000\n", + "L = 10.949394, acc = 0.970000\n", + "L = 10.944687, acc = 0.970000\n", + "L = 10.939989, acc = 0.970000\n", + "L = 10.935300, acc = 0.970000\n", + "L = 10.930620, acc = 0.970000\n", + "L = 10.925949, acc = 0.970000\n", + "L = 10.921288, acc = 0.970000\n", + "L = 10.916635, acc = 0.970000\n", + "L = 10.911991, acc = 0.970000\n", + "L = 10.907357, acc = 0.970000\n", + "L = 10.902731, acc = 0.970000\n", + "L = 10.898114, acc = 0.970000\n", + "L = 10.893507, acc = 0.970000\n", + "L = 10.888908, acc = 0.970000\n", + "L = 10.884318, acc = 0.970000\n", + "L = 10.879737, acc = 0.970000\n", + "L = 10.875164, acc = 0.970000\n", + "L = 10.870601, acc = 0.970000\n", + "L = 10.866046, acc = 0.970000\n", + "L = 10.861500, acc = 0.970000\n", + "L = 10.856962, acc = 0.970000\n", + "L = 10.852433, acc = 0.970000\n", + "L = 10.847913, acc = 0.970000\n", + "L = 10.843402, acc = 0.970000\n", + "L = 10.838899, acc = 0.970000\n", + "L = 10.834404, acc = 0.970000\n", + "L = 10.829918, acc = 0.970000\n", + "L = 10.825441, acc = 0.970000\n", + "L = 10.820972, acc = 0.970000\n", + "L = 10.816512, acc = 0.970000\n", + "L = 10.812060, acc = 0.970000\n", + "L = 10.807616, acc = 0.970000\n", + "L = 10.803181, acc = 0.970000\n", + "L = 10.798755, acc = 0.970000\n", + "L = 10.794336, acc = 0.970000\n", + "L = 10.789926, acc = 0.970000\n", + "L = 10.785524, acc = 0.970000\n", + "L = 10.781131, acc = 0.970000\n", + "L = 10.776745, acc = 0.970000\n", + "L = 10.772368, acc = 0.970000\n", + "L = 10.767999, acc = 0.970000\n", + "L = 10.763638, acc = 0.970000\n", + "L = 10.759286, acc = 0.970000\n", + "L = 10.754941, acc = 0.970000\n", + "L = 10.750605, acc = 0.970000\n", + "L = 10.746277, acc = 0.970000\n", + "L = 10.741956, acc = 0.970000\n", + "L = 10.737644, acc = 0.970000\n", + "L = 10.733340, acc = 0.970000\n", + "L = 10.729044, acc = 0.970000\n", + "L = 10.724755, acc = 0.970000\n", + "L = 10.720475, acc = 0.970000\n", + "L = 10.716203, acc = 0.970000\n", + "L = 10.711938, acc = 0.970000\n", + "L = 10.707682, acc = 0.970000\n", + "L = 10.703433, acc = 0.970000\n", + "L = 10.699192, acc = 0.970000\n", + "L = 10.694959, acc = 0.970000\n", + "L = 10.690733, acc = 0.970000\n", + "L = 10.686516, acc = 0.970000\n", + "L = 10.682306, acc = 0.970000\n", + "L = 10.678104, acc = 0.970000\n", + "L = 10.673910, acc = 0.970000\n", + "L = 10.669723, acc = 0.970000\n", + "L = 10.665544, acc = 0.970000\n", + "L = 10.661372, acc = 0.970000\n", + "L = 10.657209, acc = 0.970000\n", + "L = 10.653053, acc = 0.970000\n", + "L = 10.648904, acc = 0.970000\n", + "L = 10.644763, acc = 0.970000\n", + "L = 10.640629, acc = 0.970000\n", + "L = 10.636503, acc = 0.970000\n", + "L = 10.632385, acc = 0.970000\n", + "L = 10.628274, acc = 0.970000\n", + "L = 10.624171, acc = 0.970000\n", + "L = 10.620074, acc = 0.970000\n", + "L = 10.615986, acc = 0.970000\n", + "L = 10.611905, acc = 0.970000\n", + "L = 10.607831, acc = 0.970000\n", + "L = 10.603764, acc = 0.970000\n", + "L = 10.599705, acc = 0.970000\n", + "L = 10.595653, acc = 0.970000\n", + "L = 10.591609, acc = 0.970000\n", + "L = 10.587572, acc = 0.970000\n", + "L = 10.583542, acc = 0.970000\n", + "L = 10.579519, acc = 0.970000\n", + "L = 10.575503, acc = 0.970000\n", + "L = 10.571495, acc = 0.970000\n", + "L = 10.567494, acc = 0.970000\n", + "L = 10.563500, acc = 0.970000\n", + "L = 10.559514, acc = 0.970000\n", + "L = 10.555534, acc = 0.970000\n", + "L = 10.551562, acc = 0.970000\n", + "L = 10.547596, acc = 0.970000\n", + "L = 10.543638, acc = 0.970000\n", + "L = 10.539687, acc = 0.970000\n", + "L = 10.535743, acc = 0.970000\n", + "L = 10.531806, acc = 0.970000\n", + "L = 10.527876, acc = 0.970000\n", + "L = 10.523953, acc = 0.970000\n", + "L = 10.520037, acc = 0.970000\n", + "L = 10.516128, acc = 0.970000\n", + "L = 10.512226, acc = 0.970000\n", + "L = 10.508330, acc = 0.970000\n", + "L = 10.504442, acc = 0.970000\n", + "L = 10.500561, acc = 0.970000\n", + "L = 10.496686, acc = 0.970000\n", + "L = 10.492819, acc = 0.970000\n", + "L = 10.488958, acc = 0.970000\n", + "L = 10.485104, acc = 0.970000\n", + "L = 10.481257, acc = 0.970000\n", + "L = 10.477417, acc = 0.970000\n", + "L = 10.473583, acc = 0.970000\n", + "L = 10.469756, acc = 0.965000\n", + "L = 10.465936, acc = 0.965000\n", + "L = 10.462123, acc = 0.965000\n", + "L = 10.458317, acc = 0.965000\n", + "L = 10.454517, acc = 0.965000\n", + "L = 10.450724, acc = 0.965000\n", + "L = 10.446937, acc = 0.965000\n", + "L = 10.443157, acc = 0.965000\n", + "L = 10.439384, acc = 0.965000\n", + "L = 10.435618, acc = 0.965000\n", + "L = 10.431858, acc = 0.965000\n", + "L = 10.428105, acc = 0.965000\n", + "L = 10.424358, acc = 0.965000\n", + "L = 10.420618, acc = 0.965000\n", + "L = 10.416884, acc = 0.965000\n", + "L = 10.413157, acc = 0.965000\n", + "L = 10.409436, acc = 0.965000\n", + "L = 10.405722, acc = 0.965000\n", + "L = 10.402015, acc = 0.965000\n", + "L = 10.398314, acc = 0.965000\n", + "L = 10.394619, acc = 0.965000\n", + "L = 10.390931, acc = 0.965000\n", + "L = 10.387249, acc = 0.965000\n", + "L = 10.383574, acc = 0.965000\n", + "L = 10.379905, acc = 0.965000\n", + "L = 10.376242, acc = 0.965000\n", + "L = 10.372586, acc = 0.965000\n", + "L = 10.368936, acc = 0.965000\n", + "L = 10.365293, acc = 0.965000\n", + "L = 10.361656, acc = 0.965000\n", + "L = 10.358025, acc = 0.965000\n", + "L = 10.354400, acc = 0.965000\n", + "L = 10.350782, acc = 0.965000\n", + "L = 10.347170, acc = 0.965000\n", + "L = 10.343564, acc = 0.965000\n", + "L = 10.339965, acc = 0.965000\n", + "L = 10.336372, acc = 0.965000\n", + "L = 10.332785, acc = 0.965000\n", + "L = 10.329204, acc = 0.965000\n", + "L = 10.325629, acc = 0.965000\n", + "L = 10.322061, acc = 0.965000\n", + "L = 10.318499, acc = 0.965000\n", + "L = 10.314942, acc = 0.965000\n", + "L = 10.311392, acc = 0.965000\n", + "L = 10.307849, acc = 0.965000\n", + "L = 10.304311, acc = 0.965000\n", + "L = 10.300779, acc = 0.965000\n", + "L = 10.297253, acc = 0.965000\n", + "L = 10.293734, acc = 0.965000\n", + "L = 10.290220, acc = 0.965000\n", + "L = 10.286713, acc = 0.965000\n", + "L = 10.283212, acc = 0.965000\n", + "L = 10.279716, acc = 0.965000\n", + "L = 10.276227, acc = 0.965000\n", + "L = 10.272743, acc = 0.965000\n", + "L = 10.269266, acc = 0.965000\n", + "L = 10.265795, acc = 0.965000\n", + "L = 10.262329, acc = 0.965000\n", + "L = 10.258869, acc = 0.965000\n", + "L = 10.255416, acc = 0.965000\n", + "L = 10.251968, acc = 0.965000\n", + "L = 10.248526, acc = 0.965000\n", + "L = 10.245090, acc = 0.965000\n", + "L = 10.241660, acc = 0.965000\n", + "L = 10.238236, acc = 0.965000\n", + "L = 10.234817, acc = 0.965000\n", + "L = 10.231405, acc = 0.965000\n", + "L = 10.227998, acc = 0.965000\n", + "L = 10.224597, acc = 0.965000\n", + "L = 10.221202, acc = 0.965000\n", + "L = 10.217813, acc = 0.965000\n", + "L = 10.214429, acc = 0.965000\n", + "L = 10.211051, acc = 0.965000\n", + "L = 10.207679, acc = 0.965000\n", + "L = 10.204313, acc = 0.965000\n", + "L = 10.200952, acc = 0.965000\n", + "L = 10.197597, acc = 0.965000\n", + "L = 10.194248, acc = 0.965000\n", + "L = 10.190905, acc = 0.965000\n", + "L = 10.187567, acc = 0.965000\n", + "L = 10.184235, acc = 0.965000\n", + "L = 10.180908, acc = 0.965000\n", + "L = 10.177587, acc = 0.965000\n", + "L = 10.174272, acc = 0.965000\n", + "L = 10.170962, acc = 0.965000\n", + "L = 10.167658, acc = 0.965000\n", + "L = 10.164360, acc = 0.965000\n", + "L = 10.161067, acc = 0.965000\n", + "L = 10.157780, acc = 0.965000\n", + "L = 10.154498, acc = 0.965000\n", + "L = 10.151222, acc = 0.965000\n", + "L = 10.147951, acc = 0.965000\n", + "L = 10.144686, acc = 0.965000\n", + "L = 10.141426, acc = 0.965000\n", + "L = 10.138172, acc = 0.965000\n", + "L = 10.134923, acc = 0.965000\n", + "L = 10.131680, acc = 0.965000\n", + "L = 10.128442, acc = 0.965000\n", + "L = 10.125210, acc = 0.965000\n", + "L = 10.121983, acc = 0.965000\n", + "L = 10.118762, acc = 0.965000\n", + "L = 10.115546, acc = 0.965000\n", + "L = 10.112335, acc = 0.965000\n", + "L = 10.109130, acc = 0.965000\n", + "L = 10.105930, acc = 0.965000\n", + "L = 10.102736, acc = 0.965000\n", + "L = 10.099547, acc = 0.965000\n", + "L = 10.096363, acc = 0.965000\n", + "L = 10.093185, acc = 0.965000\n", + "L = 10.090011, acc = 0.965000\n", + "L = 10.086844, acc = 0.965000\n", + "L = 10.083681, acc = 0.965000\n", + "L = 10.080524, acc = 0.965000\n", + "L = 10.077372, acc = 0.965000\n", + "L = 10.074226, acc = 0.965000\n", + "L = 10.071084, acc = 0.965000\n", + "L = 10.067948, acc = 0.965000\n", + "L = 10.064817, acc = 0.965000\n", + "L = 10.061692, acc = 0.965000\n", + "L = 10.058571, acc = 0.965000\n", + "L = 10.055456, acc = 0.965000\n", + "L = 10.052346, acc = 0.965000\n", + "L = 10.049241, acc = 0.965000\n", + "L = 10.046141, acc = 0.965000\n", + "L = 10.043047, acc = 0.965000\n", + "L = 10.039958, acc = 0.965000\n", + "L = 10.036873, acc = 0.965000\n", + "L = 10.033794, acc = 0.965000\n", + "L = 10.030720, acc = 0.965000\n", + "L = 10.027651, acc = 0.965000\n", + "L = 10.024588, acc = 0.965000\n", + "L = 10.021529, acc = 0.965000\n", + "L = 10.018475, acc = 0.965000\n", + "L = 10.015427, acc = 0.965000\n", + "L = 10.012384, acc = 0.965000\n", + "L = 10.009345, acc = 0.965000\n", + "L = 10.006312, acc = 0.965000\n", + "L = 10.003283, acc = 0.965000\n", + "L = 10.000260, acc = 0.965000\n", + "L = 9.997242, acc = 0.965000\n", + "L = 9.994228, acc = 0.965000\n", + "L = 9.991220, acc = 0.965000\n", + "L = 9.988217, acc = 0.965000\n", + "L = 9.985218, acc = 0.965000\n", + "L = 9.982225, acc = 0.965000\n", + "L = 9.979236, acc = 0.965000\n", + "L = 9.976253, acc = 0.965000\n", + "L = 9.973274, acc = 0.965000\n", + "L = 9.970300, acc = 0.965000\n", + "L = 9.967331, acc = 0.965000\n", + "L = 9.964367, acc = 0.965000\n", + "L = 9.961408, acc = 0.965000\n", + "L = 9.958454, acc = 0.965000\n", + "L = 9.955505, acc = 0.965000\n", + "L = 9.952560, acc = 0.965000\n", + "L = 9.949621, acc = 0.965000\n", + "L = 9.946686, acc = 0.965000\n", + "L = 9.943756, acc = 0.965000\n", + "L = 9.940831, acc = 0.965000\n", + "L = 9.937910, acc = 0.965000\n", + "L = 9.934995, acc = 0.965000\n", + "L = 9.932084, acc = 0.965000\n", + "L = 9.929178, acc = 0.965000\n", + "L = 9.926276, acc = 0.965000\n", + "L = 9.923380, acc = 0.970000\n", + "L = 9.920488, acc = 0.970000\n", + "L = 9.917601, acc = 0.970000\n", + "L = 9.914719, acc = 0.970000\n", + "L = 9.911841, acc = 0.970000\n", + "L = 9.908968, acc = 0.970000\n", + "L = 9.906100, acc = 0.970000\n", + "L = 9.903236, acc = 0.970000\n", + "L = 9.900378, acc = 0.970000\n", + "L = 9.897523, acc = 0.970000\n", + "L = 9.894674, acc = 0.970000\n", + "L = 9.891829, acc = 0.970000\n", + "L = 9.888989, acc = 0.970000\n", + "L = 9.886153, acc = 0.970000\n", + "L = 9.883322, acc = 0.970000\n", + "L = 9.880496, acc = 0.970000\n", + "L = 9.877674, acc = 0.970000\n", + "L = 9.874857, acc = 0.970000\n", + "L = 9.872044, acc = 0.970000\n", + "L = 9.869236, acc = 0.970000\n", + "L = 9.866432, acc = 0.970000\n", + "L = 9.863633, acc = 0.970000\n", + "L = 9.860839, acc = 0.970000\n", + "L = 9.858049, acc = 0.970000\n", + "L = 9.855264, acc = 0.970000\n", + "L = 9.852483, acc = 0.970000\n", + "L = 9.849706, acc = 0.970000\n", + "L = 9.846935, acc = 0.970000\n", + "L = 9.844167, acc = 0.970000\n", + "L = 9.841404, acc = 0.970000\n", + "L = 9.838646, acc = 0.970000\n", + "L = 9.835892, acc = 0.970000\n", + "L = 9.833142, acc = 0.970000\n", + "L = 9.830397, acc = 0.970000\n", + "L = 9.827657, acc = 0.970000\n", + "L = 9.824920, acc = 0.970000\n", + "L = 9.822188, acc = 0.970000\n", + "L = 9.819461, acc = 0.970000\n", + "L = 9.816738, acc = 0.970000\n", + "L = 9.814019, acc = 0.970000\n", + "L = 9.811305, acc = 0.970000\n", + "L = 9.808595, acc = 0.970000\n", + "L = 9.805890, acc = 0.970000\n", + "L = 9.803188, acc = 0.970000\n", + "L = 9.800491, acc = 0.970000\n", + "L = 9.797799, acc = 0.970000\n", + "L = 9.795111, acc = 0.970000\n", + "L = 9.792427, acc = 0.970000\n", + "L = 9.789747, acc = 0.970000\n", + "L = 9.787072, acc = 0.970000\n", + "L = 9.784401, acc = 0.970000\n", + "L = 9.781734, acc = 0.970000\n", + "L = 9.779072, acc = 0.970000\n", + "L = 9.776413, acc = 0.970000\n", + "L = 9.773759, acc = 0.970000\n", + "L = 9.771110, acc = 0.970000\n", + "L = 9.768464, acc = 0.970000\n", + "L = 9.765823, acc = 0.970000\n", + "L = 9.763186, acc = 0.970000\n", + "L = 9.760553, acc = 0.970000\n", + "L = 9.757924, acc = 0.970000\n", + "L = 9.755300, acc = 0.970000\n", + "L = 9.752679, acc = 0.970000\n", + "L = 9.750063, acc = 0.970000\n", + "L = 9.747451, acc = 0.970000\n", + "L = 9.744843, acc = 0.970000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "L = 10.099248, acc = 0.965000\n", - "L = 10.096291, acc = 0.965000\n", - "L = 10.093339, acc = 0.965000\n", - "L = 10.090392, acc = 0.965000\n", - "L = 10.087450, acc = 0.965000\n", - "L = 10.084512, acc = 0.965000\n", - "L = 10.081579, acc = 0.965000\n", - "L = 10.078651, acc = 0.965000\n", - "L = 10.075728, acc = 0.965000\n", - "L = 10.072809, acc = 0.965000\n", - "L = 10.069895, acc = 0.965000\n", - "L = 10.066986, acc = 0.965000\n", - "L = 10.064081, acc = 0.965000\n", - "L = 10.061181, acc = 0.965000\n", - "L = 10.058286, acc = 0.965000\n", - "L = 10.055395, acc = 0.965000\n", - "L = 10.052509, acc = 0.965000\n", - "L = 10.049628, acc = 0.965000\n", - "L = 10.046751, acc = 0.965000\n", - "L = 10.043879, acc = 0.965000\n", - "L = 10.041011, acc = 0.965000\n", - "L = 10.038148, acc = 0.965000\n", - "L = 10.035290, acc = 0.965000\n", - "L = 10.032436, acc = 0.965000\n", - "L = 10.029586, acc = 0.965000\n", - "L = 10.026742, acc = 0.965000\n", - "L = 10.023901, acc = 0.965000\n", - "L = 10.021066, acc = 0.965000\n", - "L = 10.018234, acc = 0.965000\n", - "L = 10.015408, acc = 0.965000\n", - "L = 10.012586, acc = 0.965000\n", - "L = 10.009768, acc = 0.965000\n", - "L = 10.006955, acc = 0.965000\n", - "L = 10.004146, acc = 0.965000\n", - "L = 10.001342, acc = 0.965000\n", - "L = 9.998542, acc = 0.965000\n", - "L = 9.995746, acc = 0.965000\n", - "L = 9.992955, acc = 0.965000\n", - "L = 9.990169, acc = 0.965000\n", - "L = 9.987387, acc = 0.965000\n", - "L = 9.984609, acc = 0.965000\n", - "L = 9.981835, acc = 0.965000\n", - "L = 9.979066, acc = 0.965000\n", - "L = 9.976302, acc = 0.965000\n", - "L = 9.973542, acc = 0.965000\n", - "L = 9.970786, acc = 0.965000\n", - "L = 9.968034, acc = 0.965000\n", - "L = 9.965287, acc = 0.965000\n", - "L = 9.962544, acc = 0.965000\n", - "L = 9.959806, acc = 0.965000\n", - "L = 9.957071, acc = 0.965000\n", - "L = 9.954342, acc = 0.965000\n", - "L = 9.951616, acc = 0.965000\n", - "L = 9.948895, acc = 0.965000\n", - "L = 9.946177, acc = 0.965000\n", - "L = 9.943465, acc = 0.970000\n", - "L = 9.940756, acc = 0.970000\n", - "L = 9.938052, acc = 0.970000\n", - "L = 9.935352, acc = 0.970000\n", - "L = 9.932656, acc = 0.970000\n", - "L = 9.929964, acc = 0.970000\n", - "L = 9.927277, acc = 0.970000\n", - "L = 9.924594, acc = 0.970000\n", - "L = 9.921915, acc = 0.970000\n", - "L = 9.919240, acc = 0.970000\n", - "L = 9.916569, acc = 0.970000\n", - "L = 9.913903, acc = 0.970000\n", - "L = 9.911240, acc = 0.970000\n", - "L = 9.908582, acc = 0.970000\n", - "L = 9.905928, acc = 0.970000\n", - "L = 9.903278, acc = 0.970000\n", - "L = 9.900632, acc = 0.970000\n", - "L = 9.897991, acc = 0.970000\n", - "L = 9.895353, acc = 0.970000\n", - "L = 9.892720, acc = 0.970000\n", - "L = 9.890090, acc = 0.970000\n", - "L = 9.887465, acc = 0.970000\n", - "L = 9.884844, acc = 0.970000\n", - "L = 9.882227, acc = 0.970000\n", - "L = 9.879614, acc = 0.970000\n", - "L = 9.877004, acc = 0.970000\n", - "L = 9.874399, acc = 0.970000\n", - "L = 9.871798, acc = 0.970000\n", - "L = 9.869201, acc = 0.970000\n", - "L = 9.866608, acc = 0.970000\n", - "L = 9.864019, acc = 0.970000\n", - "L = 9.861434, acc = 0.970000\n", - "L = 9.858853, acc = 0.970000\n", - "L = 9.856276, acc = 0.970000\n", - "L = 9.853703, acc = 0.970000\n", - "L = 9.851134, acc = 0.970000\n", - "L = 9.848569, acc = 0.970000\n", - "L = 9.846008, acc = 0.970000\n", - "L = 9.843450, acc = 0.970000\n", - "L = 9.840897, acc = 0.970000\n", - "L = 9.838348, acc = 0.970000\n", - "L = 9.835802, acc = 0.970000\n", - "L = 9.833261, acc = 0.970000\n", - "L = 9.830723, acc = 0.970000\n", - "L = 9.828189, acc = 0.970000\n", - "L = 9.825659, acc = 0.970000\n", - "L = 9.823133, acc = 0.970000\n", - "L = 9.820611, acc = 0.970000\n", - "L = 9.818092, acc = 0.970000\n", - "L = 9.815578, acc = 0.970000\n", - "L = 9.813067, acc = 0.970000\n", - "L = 9.810560, acc = 0.970000\n", - "L = 9.808057, acc = 0.970000\n", - "L = 9.805558, acc = 0.970000\n", - "L = 9.803062, acc = 0.970000\n", - "L = 9.800570, acc = 0.970000\n", - "L = 9.798082, acc = 0.970000\n", - "L = 9.795598, acc = 0.970000\n", - "L = 9.793118, acc = 0.970000\n", - "L = 9.790641, acc = 0.970000\n", - "L = 9.788168, acc = 0.970000\n", - "L = 9.785699, acc = 0.970000\n", - "L = 9.783234, acc = 0.970000\n", - "L = 9.780772, acc = 0.970000\n", - "L = 9.778314, acc = 0.970000\n", - "L = 9.775860, acc = 0.970000\n", - "L = 9.773410, acc = 0.970000\n", - "L = 9.770963, acc = 0.970000\n", - "L = 9.768520, acc = 0.970000\n", - "L = 9.766080, acc = 0.970000\n", - "L = 9.763645, acc = 0.970000\n", - "L = 9.761213, acc = 0.970000\n", - "L = 9.758784, acc = 0.970000\n", - "L = 9.756359, acc = 0.970000\n", - "L = 9.753938, acc = 0.970000\n", - "L = 9.751521, acc = 0.970000\n", - "L = 9.749107, acc = 0.970000\n", - "L = 9.746696, acc = 0.970000\n", - "L = 9.744290, acc = 0.970000\n", - "L = 9.741887, acc = 0.970000\n", - "L = 9.739487, acc = 0.970000\n", - "L = 9.737091, acc = 0.970000\n", - "L = 9.734699, acc = 0.970000\n", - "L = 9.732310, acc = 0.970000\n", - "L = 9.729925, acc = 0.970000\n", - "L = 9.727544, acc = 0.970000\n", - "L = 9.725166, acc = 0.970000\n", - "L = 9.722791, acc = 0.970000\n", - "L = 9.720420, acc = 0.970000\n", - "L = 9.718053, acc = 0.970000\n", - "L = 9.715689, acc = 0.970000\n", - "L = 9.713328, acc = 0.970000\n", - "L = 9.710971, acc = 0.970000\n", - "L = 9.708618, acc = 0.970000\n", - "L = 9.706268, acc = 0.970000\n", - "L = 9.703921, acc = 0.970000\n", - "L = 9.701578, acc = 0.970000\n", - "L = 9.699239, acc = 0.970000\n", - "L = 9.696903, acc = 0.970000\n", - "L = 9.694570, acc = 0.970000\n", - "L = 9.692241, acc = 0.970000\n", - "L = 9.689915, acc = 0.970000\n", - "L = 9.687593, acc = 0.970000\n", - "L = 9.685274, acc = 0.970000\n", - "L = 9.682959, acc = 0.970000\n", - "L = 9.680647, acc = 0.970000\n", - "L = 9.678338, acc = 0.970000\n", - "L = 9.676033, acc = 0.970000\n", - "L = 9.673731, acc = 0.970000\n", - "L = 9.671432, acc = 0.970000\n", - "L = 9.669137, acc = 0.970000\n", - "L = 9.666845, acc = 0.970000\n", - "L = 9.664557, acc = 0.970000\n", - "L = 9.662272, acc = 0.970000\n", - "L = 9.659990, acc = 0.970000\n", - "L = 9.657712, acc = 0.970000\n", - "L = 9.655437, acc = 0.970000\n", - "L = 9.653165, acc = 0.970000\n", - "L = 9.650897, acc = 0.970000\n", - "L = 9.648631, acc = 0.970000\n", - "L = 9.646370, acc = 0.970000\n", - "L = 9.644111, acc = 0.970000\n", - "L = 9.641856, acc = 0.970000\n", - "L = 9.639604, acc = 0.970000\n", - "L = 9.637355, acc = 0.970000\n", - "L = 9.635110, acc = 0.970000\n", - "L = 9.632868, acc = 0.970000\n", - "L = 9.630629, acc = 0.970000\n", - "L = 9.628393, acc = 0.970000\n", - "L = 9.626160, acc = 0.970000\n", - "L = 9.623931, acc = 0.970000\n", - "L = 9.621705, acc = 0.970000\n", - "L = 9.619482, acc = 0.970000\n", - "L = 9.617263, acc = 0.970000\n", - "L = 9.615046, acc = 0.970000\n", - "L = 9.612833, acc = 0.970000\n", - "L = 9.610623, acc = 0.970000\n", - "L = 9.608416, acc = 0.970000\n", - "L = 9.606213, acc = 0.970000\n", - "L = 9.604012, acc = 0.970000\n", - "L = 9.601815, acc = 0.970000\n", - "L = 9.599621, acc = 0.970000\n", - "L = 9.597430, acc = 0.970000\n", - "L = 9.595242, acc = 0.970000\n", - "L = 9.593057, acc = 0.970000\n", - "L = 9.590876, acc = 0.970000\n", - "L = 9.588697, acc = 0.970000\n", - "L = 9.586522, acc = 0.970000\n", - "L = 9.584349, acc = 0.970000\n", - "L = 9.582180, acc = 0.970000\n", - "L = 9.580014, acc = 0.970000\n", - "L = 9.577851, acc = 0.970000\n", - "L = 9.575691, acc = 0.970000\n", - "L = 9.573534, acc = 0.970000\n", - "L = 9.571381, acc = 0.970000\n", - "L = 9.569230, acc = 0.970000\n", - "L = 9.567082, acc = 0.970000\n", - "L = 9.564937, acc = 0.970000\n", - "L = 9.562796, acc = 0.970000\n", - "L = 9.560657, acc = 0.970000\n", - "L = 9.558522, acc = 0.970000\n", - "L = 9.556389, acc = 0.970000\n", - "L = 9.554260, acc = 0.970000\n", - "L = 9.552133, acc = 0.970000\n", - "L = 9.550010, acc = 0.970000\n", - "L = 9.547889, acc = 0.970000\n", - "L = 9.545772, acc = 0.970000\n", - "L = 9.543657, acc = 0.970000\n", - "L = 9.541546, acc = 0.970000\n", - "L = 9.539437, acc = 0.970000\n", - "L = 9.537332, acc = 0.970000\n", - "L = 9.535229, acc = 0.970000\n", - "L = 9.533129, acc = 0.970000\n", - "L = 9.531032, acc = 0.970000\n", - "L = 9.528939, acc = 0.970000\n", - "L = 9.526848, acc = 0.970000\n", - "L = 9.524760, acc = 0.970000\n", - "L = 9.522675, acc = 0.970000\n", - "L = 9.520592, acc = 0.970000\n", - "L = 9.518513, acc = 0.970000\n", - "L = 9.516437, acc = 0.970000\n", - "L = 9.514363, acc = 0.970000\n", - "L = 9.512293, acc = 0.970000\n", - "L = 9.510225, acc = 0.970000\n", - "L = 9.508160, acc = 0.970000\n", - "L = 9.506098, acc = 0.970000\n", - "L = 9.504039, acc = 0.970000\n", - "L = 9.501983, acc = 0.970000\n", - "L = 9.499930, acc = 0.970000\n", - "L = 9.497879, acc = 0.970000\n", - "L = 9.495832, acc = 0.970000\n", - "L = 9.493787, acc = 0.975000\n", - "L = 9.491745, acc = 0.975000\n", - "L = 9.489706, acc = 0.975000\n", - "L = 9.487669, acc = 0.975000\n", - "L = 9.485636, acc = 0.975000\n", - "L = 9.483605, acc = 0.975000\n", - "L = 9.481577, acc = 0.975000\n", - "L = 9.479552, acc = 0.975000\n", - "L = 9.477529, acc = 0.975000\n", - "L = 9.475510, acc = 0.975000\n", - "L = 9.473493, acc = 0.975000\n", - "L = 9.471479, acc = 0.975000\n", - "L = 9.469467, acc = 0.975000\n", - "L = 9.467459, acc = 0.975000\n", - "L = 9.465453, acc = 0.975000\n", - "L = 9.463450, acc = 0.975000\n", - "L = 9.461450, acc = 0.975000\n", - "L = 9.459452, acc = 0.975000\n", - "L = 9.457457, acc = 0.975000\n", - "L = 9.455465, acc = 0.975000\n", - "L = 9.453475, acc = 0.975000\n", - "L = 9.451489, acc = 0.975000\n", - "L = 9.449505, acc = 0.975000\n", - "L = 9.447523, acc = 0.975000\n", - "L = 9.445545, acc = 0.975000\n", - "L = 9.443569, acc = 0.975000\n", - "L = 9.441595, acc = 0.975000\n", - "L = 9.439625, acc = 0.975000\n", - "L = 9.437657, acc = 0.975000\n", - "L = 9.435692, acc = 0.975000\n", - "L = 9.433729, acc = 0.975000\n" + "L = 9.742240, acc = 0.970000\n", + "L = 9.739640, acc = 0.970000\n", + "L = 9.737045, acc = 0.970000\n", + "L = 9.734453, acc = 0.970000\n", + "L = 9.731866, acc = 0.970000\n", + "L = 9.729283, acc = 0.970000\n", + "L = 9.726704, acc = 0.970000\n", + "L = 9.724129, acc = 0.970000\n", + "L = 9.721558, acc = 0.970000\n", + "L = 9.718992, acc = 0.970000\n", + "L = 9.716429, acc = 0.970000\n", + "L = 9.713870, acc = 0.970000\n", + "L = 9.711316, acc = 0.970000\n", + "L = 9.708765, acc = 0.970000\n", + "L = 9.706218, acc = 0.970000\n", + "L = 9.703676, acc = 0.970000\n", + "L = 9.701137, acc = 0.970000\n", + "L = 9.698603, acc = 0.970000\n", + "L = 9.696072, acc = 0.970000\n", + "L = 9.693546, acc = 0.970000\n", + "L = 9.691023, acc = 0.970000\n", + "L = 9.688504, acc = 0.970000\n", + "L = 9.685990, acc = 0.970000\n", + "L = 9.683479, acc = 0.970000\n", + "L = 9.680972, acc = 0.970000\n", + "L = 9.678469, acc = 0.970000\n", + "L = 9.675970, acc = 0.970000\n", + "L = 9.673475, acc = 0.970000\n", + "L = 9.670984, acc = 0.970000\n", + "L = 9.668497, acc = 0.970000\n", + "L = 9.666014, acc = 0.970000\n", + "L = 9.663534, acc = 0.970000\n", + "L = 9.661059, acc = 0.970000\n", + "L = 9.658587, acc = 0.970000\n", + "L = 9.656119, acc = 0.970000\n", + "L = 9.653655, acc = 0.970000\n", + "L = 9.651195, acc = 0.970000\n", + "L = 9.648739, acc = 0.970000\n", + "L = 9.646286, acc = 0.970000\n", + "L = 9.643838, acc = 0.970000\n", + "L = 9.641393, acc = 0.970000\n", + "L = 9.638952, acc = 0.970000\n", + "L = 9.636515, acc = 0.970000\n", + "L = 9.634081, acc = 0.970000\n", + "L = 9.631651, acc = 0.970000\n", + "L = 9.629226, acc = 0.970000\n", + "L = 9.626803, acc = 0.970000\n", + "L = 9.624385, acc = 0.970000\n", + "L = 9.621970, acc = 0.970000\n", + "L = 9.619560, acc = 0.970000\n", + "L = 9.617152, acc = 0.970000\n", + "L = 9.614749, acc = 0.970000\n", + "L = 9.612349, acc = 0.970000\n", + "L = 9.609953, acc = 0.970000\n", + "L = 9.607561, acc = 0.970000\n", + "L = 9.605172, acc = 0.970000\n", + "L = 9.602787, acc = 0.970000\n", + "L = 9.600406, acc = 0.970000\n", + "L = 9.598028, acc = 0.970000\n", + "L = 9.595654, acc = 0.970000\n", + "L = 9.593284, acc = 0.970000\n", + "L = 9.590918, acc = 0.970000\n", + "L = 9.588555, acc = 0.970000\n", + "L = 9.586195, acc = 0.970000\n", + "L = 9.583839, acc = 0.970000\n", + "L = 9.581487, acc = 0.970000\n", + "L = 9.579139, acc = 0.970000\n", + "L = 9.576794, acc = 0.970000\n", + "L = 9.574453, acc = 0.970000\n", + "L = 9.572115, acc = 0.970000\n", + "L = 9.569781, acc = 0.970000\n", + "L = 9.567450, acc = 0.970000\n", + "L = 9.565123, acc = 0.970000\n", + "L = 9.562800, acc = 0.970000\n", + "L = 9.560480, acc = 0.970000\n", + "L = 9.558163, acc = 0.970000\n", + "L = 9.555850, acc = 0.970000\n", + "L = 9.553541, acc = 0.970000\n", + "L = 9.551235, acc = 0.970000\n", + "L = 9.548933, acc = 0.970000\n", + "L = 9.546634, acc = 0.970000\n", + "L = 9.544339, acc = 0.970000\n", + "L = 9.542047, acc = 0.970000\n", + "L = 9.539759, acc = 0.970000\n", + "L = 9.537474, acc = 0.970000\n", + "L = 9.535192, acc = 0.970000\n", + "L = 9.532914, acc = 0.970000\n", + "L = 9.530640, acc = 0.970000\n", + "L = 9.528369, acc = 0.970000\n", + "L = 9.526101, acc = 0.970000\n", + "L = 9.523837, acc = 0.970000\n", + "L = 9.521576, acc = 0.970000\n", + "L = 9.519319, acc = 0.970000\n", + "L = 9.517065, acc = 0.970000\n", + "L = 9.514815, acc = 0.970000\n", + "L = 9.512567, acc = 0.970000\n", + "L = 9.510324, acc = 0.970000\n", + "L = 9.508083, acc = 0.970000\n", + "L = 9.505846, acc = 0.970000\n", + "L = 9.503613, acc = 0.970000\n", + "L = 9.501382, acc = 0.970000\n", + "L = 9.499156, acc = 0.970000\n", + "L = 9.496932, acc = 0.970000\n", + "L = 9.494712, acc = 0.970000\n", + "L = 9.492495, acc = 0.970000\n", + "L = 9.490281, acc = 0.970000\n", + "L = 9.488071, acc = 0.970000\n", + "L = 9.485864, acc = 0.970000\n", + "L = 9.483660, acc = 0.970000\n", + "L = 9.481460, acc = 0.970000\n", + "L = 9.479263, acc = 0.970000\n", + "L = 9.477069, acc = 0.970000\n", + "L = 9.474878, acc = 0.970000\n", + "L = 9.472691, acc = 0.970000\n", + "L = 9.470507, acc = 0.970000\n", + "L = 9.468326, acc = 0.970000\n", + "L = 9.466149, acc = 0.970000\n", + "L = 9.463975, acc = 0.970000\n", + "L = 9.461804, acc = 0.970000\n", + "L = 9.459636, acc = 0.970000\n", + "L = 9.457471, acc = 0.970000\n", + "L = 9.455310, acc = 0.970000\n", + "L = 9.453152, acc = 0.970000\n", + "L = 9.450997, acc = 0.970000\n", + "L = 9.448845, acc = 0.970000\n", + "L = 9.446696, acc = 0.970000\n", + "L = 9.444551, acc = 0.970000\n", + "L = 9.442409, acc = 0.970000\n", + "L = 9.440269, acc = 0.970000\n", + "L = 9.438133, acc = 0.970000\n", + "L = 9.436001, acc = 0.970000\n", + "L = 9.433871, acc = 0.970000\n", + "L = 9.431745, acc = 0.970000\n", + "L = 9.429621, acc = 0.975000\n", + "L = 9.427501, acc = 0.975000\n", + "L = 9.425384, acc = 0.975000\n", + "L = 9.423270, acc = 0.975000\n", + "L = 9.421159, acc = 0.975000\n", + "L = 9.419051, acc = 0.975000\n", + "L = 9.416946, acc = 0.975000\n", + "L = 9.414845, acc = 0.975000\n", + "L = 9.412746, acc = 0.975000\n", + "L = 9.410651, acc = 0.975000\n", + "L = 9.408558, acc = 0.975000\n", + "L = 9.406469, acc = 0.975000\n", + "L = 9.404383, acc = 0.975000\n", + "L = 9.402299, acc = 0.975000\n", + "L = 9.400219, acc = 0.975000\n", + "L = 9.398142, acc = 0.975000\n", + "L = 9.396068, acc = 0.975000\n", + "L = 9.393997, acc = 0.975000\n", + "L = 9.391928, acc = 0.975000\n", + "L = 9.389863, acc = 0.975000\n", + "L = 9.387801, acc = 0.975000\n", + "L = 9.385742, acc = 0.975000\n", + "L = 9.383686, acc = 0.975000\n", + "L = 9.381633, acc = 0.975000\n", + "L = 9.379583, acc = 0.975000\n", + "L = 9.377535, acc = 0.975000\n", + "L = 9.375491, acc = 0.975000\n", + "L = 9.373450, acc = 0.975000\n", + "L = 9.371411, acc = 0.975000\n", + "L = 9.369376, acc = 0.975000\n", + "L = 9.367344, acc = 0.975000\n", + "L = 9.365314, acc = 0.975000\n", + "L = 9.363287, acc = 0.975000\n", + "L = 9.361264, acc = 0.975000\n", + "L = 9.359243, acc = 0.975000\n", + "L = 9.357225, acc = 0.975000\n", + "L = 9.355210, acc = 0.975000\n", + "L = 9.353198, acc = 0.975000\n", + "L = 9.351189, acc = 0.975000\n", + "L = 9.349183, acc = 0.975000\n", + "L = 9.347179, acc = 0.975000\n", + "L = 9.345179, acc = 0.975000\n", + "L = 9.343181, acc = 0.975000\n", + "L = 9.341186, acc = 0.975000\n", + "L = 9.339194, acc = 0.975000\n", + "L = 9.337205, acc = 0.975000\n", + "L = 9.335219, acc = 0.975000\n", + "L = 9.333235, acc = 0.975000\n", + "L = 9.331255, acc = 0.975000\n", + "L = 9.329277, acc = 0.975000\n", + "L = 9.327302, acc = 0.975000\n", + "L = 9.325330, acc = 0.975000\n", + "L = 9.323361, acc = 0.975000\n", + "L = 9.321394, acc = 0.975000\n", + "L = 9.319430, acc = 0.975000\n", + "L = 9.317469, acc = 0.975000\n", + "L = 9.315511, acc = 0.975000\n", + "L = 9.313556, acc = 0.975000\n", + "L = 9.311603, acc = 0.975000\n", + "L = 9.309653, acc = 0.975000\n", + "L = 9.307706, acc = 0.975000\n", + "L = 9.305762, acc = 0.975000\n", + "L = 9.303820, acc = 0.975000\n", + "L = 9.301881, acc = 0.975000\n", + "L = 9.299945, acc = 0.975000\n", + "L = 9.298012, acc = 0.975000\n", + "L = 9.296081, acc = 0.975000\n", + "L = 9.294153, acc = 0.975000\n", + "L = 9.292228, acc = 0.975000\n", + "L = 9.290305, acc = 0.975000\n", + "L = 9.288385, acc = 0.975000\n", + "L = 9.286468, acc = 0.975000\n", + "L = 9.284554, acc = 0.975000\n", + "L = 9.282642, acc = 0.975000\n", + "L = 9.280733, acc = 0.975000\n", + "L = 9.278826, acc = 0.975000\n", + "L = 9.276923, acc = 0.975000\n", + "L = 9.275021, acc = 0.975000\n", + "L = 9.273123, acc = 0.975000\n", + "L = 9.271227, acc = 0.975000\n", + "L = 9.269334, acc = 0.975000\n", + "L = 9.267444, acc = 0.975000\n", + "L = 9.265556, acc = 0.975000\n", + "L = 9.263670, acc = 0.975000\n", + "L = 9.261788, acc = 0.975000\n", + "L = 9.259908, acc = 0.975000\n", + "L = 9.258030, acc = 0.975000\n", + "L = 9.256156, acc = 0.975000\n", + "L = 9.254283, acc = 0.975000\n", + "L = 9.252414, acc = 0.975000\n", + "L = 9.250547, acc = 0.975000\n", + "L = 9.248682, acc = 0.975000\n", + "L = 9.246821, acc = 0.975000\n", + "L = 9.244961, acc = 0.975000\n", + "L = 9.243105, acc = 0.975000\n", + "L = 9.241251, acc = 0.975000\n", + "L = 9.239399, acc = 0.975000\n", + "L = 9.237550, acc = 0.975000\n" ] } ], "source": [ "# use the NN model and training\n", - "nn = NN_Model([2, 6, 4, 2])\n", + "nn = NN_Model([2, 8, 7, 2])\n", "nn.init_weight()\n", "nn.backpropagation(X, t, 2000)\n", "\n" @@ -5426,12 +4890,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -5478,22 +4942,22 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[[0.01102277 0.98892257]\n", - " [0.13689246 0.86620671]\n", - " [0.97904664 0.02132821]\n", - " [0.01163523 0.98829983]\n", - " [0.00717948 0.99279357]\n", - " [0.95281465 0.04607736]\n", - " [0.01748735 0.98260651]\n", - " [0.97215654 0.0271742 ]\n", - " [0.03769688 0.96206663]]\n" + "[[0.00685236 0.9927955 ]\n", + " [0.1246441 0.8746923 ]\n", + " [0.98246862 0.01635913]\n", + " [0.00689292 0.99277992]\n", + " [0.0035196 0.99630283]\n", + " [0.95959029 0.04206601]\n", + " [0.01404427 0.98588945]\n", + " [0.97727229 0.02378811]\n", + " [0.03279357 0.96616133]]\n" ] } ], @@ -5543,7 +5007,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.7.9" } }, "nbformat": 4, diff --git a/5_nn/3-softmax_ce.ipynb b/5_nn/3-softmax_ce.ipynb index 298c5f0..971f296 100644 --- a/5_nn/3-softmax_ce.ipynb +++ b/5_nn/3-softmax_ce.ipynb @@ -268,7 +268,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.9" + "version": "3.8.5" } }, "nbformat": 4, diff --git a/6_pytorch/0_basic/1-Tensor-and-Variable.ipynb b/6_pytorch/0_basic/1-Tensor-and-Variable.ipynb index 573ee0c..3b7d7e7 100644 --- a/6_pytorch/0_basic/1-Tensor-and-Variable.ipynb +++ b/6_pytorch/0_basic/1-Tensor-and-Variable.ipynb @@ -84,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -167,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -187,7 +187,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -207,7 +207,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -225,7 +225,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -290,7 +290,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -310,7 +310,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -327,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -349,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -371,17 +371,17 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[-1.8509, 0.5228, -1.3782],\n", - " [ 0.9726, 1.7519, -0.3425],\n", - " [-0.0131, 2.1198, -1.1388],\n", - " [ 0.2897, 1.2477, -0.2862]])\n" + "tensor([[-1.2200, 0.9769, -2.3477],\n", + " [ 1.0125, -1.3236, -0.2626],\n", + " [-0.3501, 0.5753, 1.5657],\n", + " [ 0.4823, -0.4008, -1.3442]])\n" ] } ], @@ -392,7 +392,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -402,16 +402,16 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([0.5228, 1.7519, 2.1198, 1.2477])" + "tensor([0.9769, 1.0125, 1.5657, 0.4823])" ] }, - "execution_count": 22, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -423,16 +423,16 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "tensor([1, 1, 1, 1])" + "tensor([1, 0, 2, 0])" ] }, - "execution_count": 23, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -444,14 +444,14 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([-2.7063, 2.3820, 0.9679, 1.2512])\n" + "tensor([-2.5908, -0.5736, 1.7909, -1.2627])\n" ] } ], @@ -463,19 +463,19 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "torch.Size([1, 1, 1, 4, 3])\n", - "torch.Size([1, 1, 1, 1, 4, 3])\n", - "tensor([[[[[[-1.8509, 0.5228, -1.3782],\n", - " [ 0.9726, 1.7519, -0.3425],\n", - " [-0.0131, 2.1198, -1.1388],\n", - " [ 0.2897, 1.2477, -0.2862]]]]]])\n" + "torch.Size([4, 3])\n", + "torch.Size([1, 4, 3])\n", + "tensor([[[-1.2200, 0.9769, -2.3477],\n", + " [ 1.0125, -1.3236, -0.2626],\n", + " [-0.3501, 0.5753, 1.5657],\n", + " [ 0.4823, -0.4008, -1.3442]]])\n" ] } ], @@ -489,7 +489,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -507,18 +507,18 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "torch.Size([4, 3])\n", - "tensor([[-1.8509, 0.5228, -1.3782],\n", - " [ 0.9726, 1.7519, -0.3425],\n", - " [-0.0131, 2.1198, -1.1388],\n", - " [ 0.2897, 1.2477, -0.2862]])\n" + "torch.Size([1, 4, 3])\n", + "tensor([[[-1.2200, 0.9769, -2.3477],\n", + " [ 1.0125, -1.3236, -0.2626],\n", + " [-0.3501, 0.5753, 1.5657],\n", + " [ 0.4823, -0.4008, -1.3442]]])\n" ] } ], @@ -530,7 +530,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -548,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -575,7 +575,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -602,16 +602,27 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "tensor([[-3.1321, -0.9734, 0.5307, 0.4975],\n", + " [ 0.8537, 1.3424, 0.2630, -1.6658],\n", + " [-1.0088, -2.2100, -1.9233, -0.3059]])\n" + ] + } + ], "source": [ "x = torch.randn(3, 4)\n", "y = torch.randn(3, 4)\n", "\n", "# 两个 tensor 求和\n", "z = x + y\n", - "# z = torch.add(x, y)" + "# z = torch.add(x, y)\n", + "print(z)" ] }, { @@ -623,7 +634,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -651,7 +662,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -737,7 +748,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -747,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -761,7 +772,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -770,15 +781,15 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor(-6.3913)\n", - "\n" + "tensor(-22.1040)\n", + "\n" ] } ], @@ -796,33 +807,33 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "tensor([[1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.]])\n", - "tensor([[1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1.]])\n" + "tensor([[2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.]])\n", + "tensor([[2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.],\n", + " [2., 2., 2., 2., 2.]])\n" ] } ], @@ -863,12 +874,12 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -892,7 +903,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -938,7 +949,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.9" + "version": "3.7.9" } }, "nbformat": 4,