From 5eedb2b4fdef4fb0d07414aee2cf7d745f4b4f9e Mon Sep 17 00:00:00 2001 From: wassname Date: Sat, 17 Oct 2020 07:55:23 +0800 Subject: [PATCH] outputs --- notebooks/c09_Autoencoders/Autoencoders.ipynb | 2284 +++-------------- notebooks/c09_Autoencoders/Autoencoders.py | 171 +- 2 files changed, 326 insertions(+), 2129 deletions(-) diff --git a/notebooks/c09_Autoencoders/Autoencoders.ipynb b/notebooks/c09_Autoencoders/Autoencoders.ipynb index 01ce590..8e22e92 100644 --- a/notebooks/c09_Autoencoders/Autoencoders.ipynb +++ b/notebooks/c09_Autoencoders/Autoencoders.ipynb @@ -62,8 +62,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:54.154729Z", - "start_time": "2020-10-16T07:40:53.006027Z" + "end_time": "2020-10-16T23:41:18.503834Z", + "start_time": "2020-10-16T23:41:16.924107Z" } }, "outputs": [], @@ -118,8 +118,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:54.243691Z", - "start_time": "2020-10-16T07:40:54.156229Z" + "end_time": "2020-10-16T23:41:18.587375Z", + "start_time": "2020-10-16T23:41:18.506677Z" } }, "outputs": [], @@ -132,8 +132,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:54.283477Z", - "start_time": "2020-10-16T07:40:54.245293Z" + "end_time": "2020-10-16T23:41:18.601449Z", + "start_time": "2020-10-16T23:41:18.590779Z" } }, "outputs": [], @@ -164,7 +164,9 @@ " return output\n", "\n", " def show(self, idx):\n", - " plt.imshow(self.x[idx], \"gray\")\n" + " plt.imshow(self.x[idx], \"gray\")\n", + "\n", + "\n" ] }, { @@ -186,8 +188,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.025218Z", - "start_time": "2020-10-16T07:40:54.284924Z" + "end_time": "2020-10-16T23:41:24.040854Z", + "start_time": "2020-10-16T23:41:18.604237Z" }, "lines_to_next_cell": 2 }, @@ -202,8 +204,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.031440Z", - "start_time": "2020-10-16T07:40:59.026632Z" + "end_time": "2020-10-16T23:41:24.050900Z", + "start_time": "2020-10-16T23:41:24.042982Z" } }, "outputs": [ @@ -240,8 +242,8 @@ "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.547036Z", - "start_time": "2020-10-16T07:40:59.032838Z" + "end_time": "2020-10-16T23:41:24.857794Z", + "start_time": "2020-10-16T23:41:24.053175Z" }, "lines_to_next_cell": 2, "scrolled": true @@ -249,7 +251,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -273,8 +275,8 @@ "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.552083Z", - "start_time": "2020-10-16T07:40:59.548465Z" + "end_time": "2020-10-16T23:41:24.866108Z", + "start_time": "2020-10-16T23:41:24.859956Z" } }, "outputs": [ @@ -307,15 +309,15 @@ "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.596743Z", - "start_time": "2020-10-16T07:40:59.554056Z" + "end_time": "2020-10-16T23:41:24.876350Z", + "start_time": "2020-10-16T23:41:24.869983Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -353,8 +355,8 @@ "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.642140Z", - "start_time": "2020-10-16T07:40:59.598274Z" + "end_time": "2020-10-16T23:41:24.882236Z", + "start_time": "2020-10-16T23:41:24.879239Z" } }, "outputs": [], @@ -367,8 +369,8 @@ "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.689596Z", - "start_time": "2020-10-16T07:40:59.643440Z" + "end_time": "2020-10-16T23:41:24.893549Z", + "start_time": "2020-10-16T23:41:24.884157Z" } }, "outputs": [], @@ -412,8 +414,8 @@ "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:40:59.781824Z", - "start_time": "2020-10-16T07:40:59.690859Z" + "end_time": "2020-10-16T23:41:24.940185Z", + "start_time": "2020-10-16T23:41:24.896472Z" } }, "outputs": [ @@ -445,8 +447,8 @@ "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:01.120042Z", - "start_time": "2020-10-16T07:40:59.783087Z" + "end_time": "2020-10-16T23:41:27.693193Z", + "start_time": "2020-10-16T23:41:24.942881Z" } }, "outputs": [ @@ -483,8 +485,8 @@ "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:01.292866Z", - "start_time": "2020-10-16T07:41:01.121409Z" + "end_time": "2020-10-16T23:41:28.040915Z", + "start_time": "2020-10-16T23:41:27.694855Z" } }, "outputs": [ @@ -541,8 +543,8 @@ "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:01.296681Z", - "start_time": "2020-10-16T07:41:01.294227Z" + "end_time": "2020-10-16T23:41:28.045524Z", + "start_time": "2020-10-16T23:41:28.042600Z" } }, "outputs": [], @@ -562,8 +564,8 @@ "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:01.345479Z", - "start_time": "2020-10-16T07:41:01.298116Z" + "end_time": "2020-10-16T23:41:28.053008Z", + "start_time": "2020-10-16T23:41:28.047052Z" } }, "outputs": [], @@ -586,8 +588,8 @@ "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:01.393158Z", - "start_time": "2020-10-16T07:41:01.346773Z" + "end_time": "2020-10-16T23:41:28.065327Z", + "start_time": "2020-10-16T23:41:28.054530Z" } }, "outputs": [], @@ -644,14 +646,14 @@ "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:01.538431Z", - "start_time": "2020-10-16T07:41:01.394454Z" + "end_time": "2020-10-16T23:41:28.232661Z", + "start_time": "2020-10-16T23:41:28.067854Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -702,8 +704,8 @@ "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:43.113577Z", - "start_time": "2020-10-16T07:41:01.539741Z" + "end_time": "2020-10-16T23:42:48.997946Z", + "start_time": "2020-10-16T23:41:28.234641Z" }, "scrolled": true }, @@ -711,7 +713,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "58cfddd112ed4e7188a29582bbebdf59", + "model_id": "0fc165bd37c14917bded542dc5aa6522", "version_major": 2, "version_minor": 0 }, @@ -724,7 +726,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -750,7 +752,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#1 Train loss: 179.3864\tBatch Loss: 153.994354 \n" + "#1 Train loss: 178.8751\tBatch Loss: 162.006699 \n" ] }, { @@ -771,12 +773,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#1 Test loss: 163.9812\n" + "#1 Test loss: 164.1840\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -802,7 +804,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#2 Train loss: 160.9495\tBatch Loss: 154.289948 \n" + "#2 Train loss: 161.1953\tBatch Loss: 150.184143 \n" ] }, { @@ -823,12 +825,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#2 Test loss: 158.4274\n" + "#2 Test loss: 159.0921\n" ] }, { "data": { - "image/png": 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+ "image/png": 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\n", 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" ] @@ -854,7 +856,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#3 Train loss: 156.6687\tBatch Loss: 162.939484 \n" + "#3 Train loss: 157.3422\tBatch Loss: 157.783524 \n" ] }, { @@ -875,12 +877,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#3 Test loss: 155.4108\n" + "#3 Test loss: 156.1561\n" ] }, { "data": { - "image/png": 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LxFuXQpt+EP9vp9OGap3x5ptvFum1a9dGsltvvbXqeU899VSUv/POO6P8a6+9VjHdGXr4LsTmdDPgLbHjJI4rseMkjiux4yROQ1b2sP6eDqdY39DmtR9pQzZl0x+tn2vRvqwNVemVPCBe/dIeq+tkV/KwfriuX2c+8OnkI+uw4gUXXNDAmmTYXUmaDW+JHSdxXIkdJ3EaYk5btAlqZ6nY0JDO21lLdnE5fV0rs6uC6HCVXZFj/PjxUV6XazfU2rZtW5HuzJzW9Ob9iJ2exVtix0kcV2LHSRxXYsdJnLr5xDYcVI3OVrDUPrMNG9mNr/QwTOtbW9971KhRRVqvZgkdV+jQQy3tYvcbNmwo0u+++24k07O1IA6fuQ/cvNh+j9dff71I61VeGoW3xI6TOK7EjpM4rsSOkzgNmYpYthKm3bzMxne1L2v9Wov2rzuLP2v/2tZh06ZNUb6tra1Ib9myJZJpf8nu+GCvq31iO6XRfeTmwU6d1cMwZ8yYEckefPDButRJ4y2x4ySOK7HjJE5Dhl1a07Es1GLzeuUPu+qHDTnpYY82/DR48OAor01fayK/+uqrVetvTeT169cXaW12Q8cVQk7nxfBSwj5XerHGZcuW1bs6HfCW2HESx5XYcRLHldhxEkdqCWWISN3jHnbYpQ452SGatVB2bmeLvus62OmQOhxRFlKC2Lf+KBuohRC6Nqa1CzTiHjtdYmUIYXolgbfEjpM4rsSOkziuxI6TOE2xPE8ZZRuzNQrtT9vNy8uGl/oSPE5P4C2x4ySOK7HjJE7Tm9PNSHeFhhynO/CW2HESx5XYcRLHldhxEqdWn3gXsLknKuKcMh/r5uv5PW5Oqt7nmsZOO47TfLg57TiJ40rsOInjSuw4ieNK7DiJ40rsOInjSuw4ieNK7DiJ40rsOInjSuw4ifP/e6jl+q+jgd4AAAAASUVORK5CYII=\n", + "image/png": 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\n", 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" ] @@ -906,7 +908,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#4 Train loss: 154.1883\tBatch Loss: 140.420273 \n" + "#4 Train loss: 155.0154\tBatch Loss: 156.836761 \n" ] }, { @@ -927,12 +929,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#4 Test loss: 153.2225\n" + "#4 Test loss: 154.0887\n" ] }, { "data": { - "image/png": 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+ "image/png": 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\n", 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" ] @@ -958,7 +960,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#5 Train loss: 152.3437\tBatch Loss: 151.800568 \n" + "#5 Train loss: 153.1640\tBatch Loss: 149.944168 \n" ] }, { @@ -979,12 +981,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#5 Test loss: 152.0751\n" + "#5 Test loss: 152.3966\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1010,7 +1012,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#6 Train loss: 150.8687\tBatch Loss: 148.804855 \n" + "#6 Train loss: 151.6397\tBatch Loss: 160.143158 \n" ] }, { @@ -1031,12 +1033,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#6 Test loss: 150.6995\n" + "#6 Test loss: 151.7395\n" ] }, { "data": { - "image/png": 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\n", 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" ] @@ -1062,7 +1064,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#7 Train loss: 149.6216\tBatch Loss: 152.606079 \n" + "#7 Train loss: 150.5064\tBatch Loss: 157.108032 \n" ] }, { @@ -1083,12 +1085,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#7 Test loss: 149.6491\n" + "#7 Test loss: 150.7273\n" ] }, { "data": { - "image/png": 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\n", 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" ] @@ -1114,7 +1116,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#8 Train loss: 148.6091\tBatch Loss: 157.301224 \n" + "#8 Train loss: 149.4979\tBatch Loss: 142.062927 \n" ] }, { @@ -1135,12 +1137,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#8 Test loss: 148.5983\n" + "#8 Test loss: 149.8332\n" ] }, { "data": { - "image/png": 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\n", 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" ] @@ -1166,7 +1168,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#9 Train loss: 147.7273\tBatch Loss: 145.726257 \n" + "#9 Train loss: 148.6328\tBatch Loss: 137.544235 \n" ] }, { @@ -1187,12 +1189,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "#9 Test loss: 148.1565\n" + "#9 Test loss: 148.9877\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1218,7 +1220,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#10 Train loss: 146.9058\tBatch Loss: 151.720261 \n" + "#10 Train loss: 147.9278\tBatch Loss: 139.597870 \n" ] }, { @@ -1239,13 +1241,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#10 Test loss: 147.5570\n", + "#10 Test loss: 148.6458\n", "\n" ] }, { "data": { - "image/png": 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+ "image/png": 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" ] @@ -1276,14 +1278,14 @@ "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:43.186738Z", - "start_time": "2020-10-16T07:41:43.114943Z" + "end_time": "2020-10-16T23:42:49.113111Z", + "start_time": "2020-10-16T23:42:49.000151Z" } }, "outputs": [ { "data": { - "image/png": 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dZnSOz8d7nEzS3udOtechhCQPutOEBA6NmJDAoRETEjg0YkICh0ZMSODQiAkJHBoxIYFDIyYkcGjEhATO/wF1Mcn1N9NTaAAAAABJRU5ErkJggg==\n", + "image/png": 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XkGzhk5iQwKETExI4dGJCAodOTEjg0IkJCRw6MSGBQycmJHDoxIQEDp2YkMChExMSOLmWXTYAOJKPgZDbZnjLh+QE73E6afY+57SemBCSPjidJiRw6MSEBA6dmJDAoRMTEjh0YkICh05MSODQiQkJHDoxIYFDJyYkcP4PlCKBddgUeKUAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] @@ -1338,12 +1340,13 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T08:29:29.010502Z", - "start_time": "2020-10-16T08:29:28.998437Z" - } + "end_time": "2020-10-16T23:42:49.131358Z", + "start_time": "2020-10-16T23:42:49.115265Z" + }, + "lines_to_next_cell": 0 }, "outputs": [], "source": [ @@ -1352,7 +1355,7 @@ "def traverse(ds=ds_train, model=model, y=None, xmin=None, xmax=None):\n", " # Get the first 1000 images\n", " n = min(1000, len(ds))\n", - " idxs = np.random.choice(range(len(ds)), size=10, replace=False)\n", + " idxs = np.random.choice(range(len(ds)), size=n, replace=False)\n", " x = torch.stack([ds[i] for i in idxs])\n", " ys = np.array([ds.y[i] for i in idxs])\n", " x = x.to(device).float().reshape((-1, 1, 28,28))\n", @@ -1368,10 +1371,8 @@ "\n", " classes = pd.Series(ds.y).unique()\n", " for i, cls in enumerate(classes):\n", - " print(i, cls) \n", " idx = ys == cls\n", - " print(idx, res.shape)\n", - " plt.scatter(res[idx, 0], res[idx, 1], label=cls, alpha=0.5, s=2)\n", + " plt.scatter(res[idx, 0], res[idx, 1], label=cls, alpha=0.5)\n", " plt.title('the latent space')\n", " plt.xlabel('latent variable 1')\n", " plt.ylabel('latent variable 2')\n", @@ -1398,7 +1399,10 @@ " xs = np.linspace(xmin, xmax, n_steps)\n", " for xi, x in enumerate(xs):\n", " # Decode image at x,y\n", - " z = torch.tensor([x, y]).float().to(device)[None, :]\n", + " z = torch.zeros((1, res.shape[1]))\n", + " z[:, 0] = x\n", + " z[:, 1] = y\n", + " z = z.float().to(device)\n", " img = model.decode(z).cpu().detach().numpy()\n", " img = (img.reshape((28, 28)) * 255).astype(np.uint8)\n", " \n", @@ -1417,36 +1421,25 @@ "ExecuteTime": { "end_time": "2020-10-16T07:37:20.914201Z", "start_time": "2020-10-16T07:37:20.910611Z" - } + }, + "lines_to_next_cell": 2 }, "outputs": [], "source": [] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T08:29:30.217275Z", - "start_time": "2020-10-16T08:29:29.703879Z" + "end_time": "2020-10-16T23:42:50.342215Z", + "start_time": "2020-10-16T23:42:49.134072Z" } }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 carbonate2D\n", - "[False False False False False False True False False True] (10, 2)\n", - "1 coal2D\n", - "[ True True True True False True False False False False] (10, 2)\n", - "2 sandstone2D\n", - "[False False False False True False False True True False] (10, 2)\n" - ] - }, { "data": { - "image/png": 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ZbWYNiLwTorqZZfKvYb9PJzLsuIiIVAJhdz1dDQwkMrz3k1Hr84BfxDEmERFJIcUmCnefDEw2sxvd/fUExiQiIikkluco3jKzW4G06PIJeBWqiIikgFgSxZ+BPcBi4FB8wxERkVQTS6Jo7O494x6JiIikpFhuj51nZq3jHomIiKSkWFoUlwADzWwDkUtPBri7Z8Q1MhERSQmxJIpr4h6FiIikrJheXAQ0Aa4I5vfHsp+IiFQMsYz19CvgAeDnwaqqwMvxDEpERFJHLC2DPkTem70PwN23ALXjGZSIiKSOWBLFN+7ugAOYWc34hiQiIqkklkQxzcwmAnXM7G5gFvDH+IYlIiKposS7ntz9CTO7CvgauBD4pbu/H/fIREQkJZSYKMzsv939AeD9ItaJiEgFF8ulp6uKWKdnK0REKomwFxcNAX4MnG9my6M21Qb+L96BiYhIagi79PS/wF+Bx4CRUevz3H1XXKMSEZGUEfbioj1Ehhf/dwAzOxuoBtQys1ru/s/EhCgiIskUy5PZ3zezNcAG4ENgI5GWhoiIVAKxdGY/AnQCPnP3pkB31EchIlJpxJIoDrv7TuAUMzvF3ecAbeMcl4iIpIhYhhnfbWa1gI+AKWa2DTgS37BERCRVxNKi6A0cAP4f8A6wDvh+PIMSEZHUEcsQHvuiFifHMRYREUlBYQ/c5RGMGFt4E5FXoZ4et6ji4PDhw+Tm5nLw4MFkhyJAtWrVaNy4MVWrVk12KCJSgrDnKOL2zgkz6weMBloAHdw9u5hyG4E84ChwxN3bfdtj5ubmUrt2bdLS0jCzb1uNlAF3Z+fOneTm5tK0adNkhyMiJUjWK01zgL5EOshL0s3d25YmSQAcPHiQevXqKUmkADOjXr16at2JlBOx3PVU5tz9EyDhP9pKEqlDfwuR8iNZLYpYOfCemS02s8FhBc1ssJllm1n29u3bExSeiEjFF7dEYWazzCyniKn3SVTTxd0vJjKs+b1mdllxBd39GXdv5+7t6tevX+r4U8mkSZMYOnRoXI8xffp0Vq1aVWK5J598kpYtW5KRkUH37t3ZtGkTABs3bqR69epkZmbSokULOnTowOTJuklOpCKI26Und7+yDOrYEnxuM7M3gQ7E1q9RYRw5kphnG6dPn871119Py5YtQ8tlZmaSnZ1NjRo1GD9+PPfffz9Tp04FoFmzZnz88ccArF+/nr59+3Ls2DEGDRoU9/hFJH5S9tKTmdU0s9r580APIp3g5daLL75IRkYGbdq04Y477mDmzJl07NiRzMxMrrzySr788ksARo8ezeDBg+nRowd33nknAJs3b6Znz55ceOGFPPzwwwV1Pvnkk7Rq1YpWrVrx1FNPAZF/3bdo0YK7776b9PR0evTowYEDBwB49tlnad++PW3atOHGG29k//79zJs3jxkzZjBixAjatm3LunXrWLduHT179iQrK4tLL72UTz/9FIBu3bpRo0YNADp16kRubm6R53r++efz5JNPMnbs2Ph8mSKSOO6e8AnoA+QCh4AvgXeD9Q2Bt4P584FlwbQSGBVr/VlZWV7YqlWrTlhXks+/2u+vLNzkn3+1/6T3LSwnJ8cvuOAC3759u7u779y503ft2uXHjh1zd/dnn33W77vvPnd3/9WvfuUXX3yx798fOe4LL7zgDRo08B07dvj+/fs9PT3dFy1a5NnZ2d6qVSvfu3ev5+XlecuWLX3JkiW+YcMGr1Klin/88cfu7t6vXz9/6aWX3N19x44dBTGNGjXKx44d6+7uAwYM8FdffbVg2xVXXOGfffaZu7svWLDAu3XrdsI53XvvvT5mzBh3d9+wYYOnp6cft/2rr77yatWqFfudfJu/iYjEB5DtxfymJuuupzeBN4tYvwW4NphfD7RJcGjHmbtmOzOXbQWgf/tzS1XX7NmzuemmmzjrrLMAOPPMM1mxYgX9+/dn69atfPPNN8c9U9CrVy+qV69esHzVVVdRr149APr27cvf//53zIw+ffpQs2bNgvVz586lV69eNG3alLZtI2M3ZmVlsXHjRgBycnJ48MEH2b17N3v37uXqq68+Ida9e/cyb948+vXrV7Du0KFDx5V5+eWXyc7O5sMPPyz2nCP/7YlIeZeURFFeXNq8/nGfpeHuJ9wSOmzYMO677z569erFBx98wOjRowu25f/45yu8r5mF/hCfdtppBfNVqlQpuPQ0cOBApk+fTps2bZg0aRIffPDBCfseO3aMOnXqsHTp0iLrnjVrFo8++igffvjhcccp7OOPP6ZFixbFbheR8iFl+yhSQcM61enf/lwa1qlecuESdO/enWnTprFz504Adu3axZ49e2jUqBFAiXcIvf/+++zatYsDBw4wffp0unTpwmWXXcb06dPZv38/+/bt48033+TSSy8NrScvL49zzjmHw4cPM2XKlIL1tWvXJi8vD4DTTz+dpk2b8uqrrwKRJLds2TIg8uP/ox/9iBkzZnD22WcXe5yNGzcyfPhwhg0bVsI3IyKpTi2KBElPT2fUqFFcfvnlVKlShczMTEaPHk2/fv1o1KgRnTp1YsOGDcXuf8kll3DHHXewdu1abr31Vtq1izyoPnDgQDp06ADAD3/4QzIzMwsuMxVlzJgxdOzYkfPOO4/WrVsXJIdbbrmFu+++m7Fjx/Laa68xZcoUhgwZwiOPPMLhw4e55ZZbaNOmDSNGjGDv3r0Fl6XOPfdcZsyYAcC6devIzMzk4MGD1K5dm2HDhumOJ5EKwCrideR27dp5dvbxw0d98sknugySYvQ3EUkdZrbYixkqSZeeREQklBKFiIiEUqIQEZFQShQiIhJKiUJEREIpUYiISCglinIkerhxDfctIomiB+7KKQ33LSKJohZFAhUeZnzTpk107969oFXwz3/+E6DY4cejabhvEUkUJYowe3JhyYuRz1JauXIljz76KLNnz2bZsmX8/ve/Z+jQodx5550sX76c2267jZ/85CdAZLiOBQsW8PHHH3PLLbfwm9/8JrTu5557jmuuuabY7RdffHHB+yRERE6WLj2FWTcbct6IzF98Z6mqKmqY8fnz5/PGG5H677jjDu6//34AcnNzix1+vDAN9y0i8aYWRZhmV0CrvpHPUipqmPHC8rcPGzaMoUOHsmLFCiZOnMjBgweLLJ8/3PeMGTM03LeIxI0SRZgzGkdaEmc0LnVVRQ0z3rlzZ1555RUApkyZwiWXXAIQ0/DjGu5bRBJFl54SpKhhxseOHctdd93F448/Tv369XnhhRcAYhp+XMN9i0iiaJhxSRr9TURSh4YZFxGRb02JQkREQilRiIhIKCUKEREJpUQhIiKhlChERCSUEkU51rVrVwrfBhxt0qRJbNmypcyP+/7775OVlUXr1q3Jyspi9uzZBdvS0tJo3bo1rVu3pmXLljz44IMcOnSozGMQkcRRoqjA4pUozjrrLGbOnMmKFSuYPHkyd9xxx3Hb58yZw4oVK1i4cCHr169n8ODBZR6DiCSOnsxOkH379nHzzTeTm5vL0aNHeeihh1i9ejUzZ87kwIEDdO7cmYkTJ2JmdO3alY4dOzJnzhx2797Nc889x6WXXsqBAwcYNGgQq1atokWLFhw4cACAo0eP8oMf/IDs7GzMjLvuuosmTZqQnZ3NbbfdRvXq1Zk/fz7z5s1j+PDhHDlyhPbt2zN+/HhOO+000tLSGDBgADNnzuTw4cO8+uqrXHTRRezbt49hw4axYsUKjhw5wujRo+nduzeZmZkF55Wens7Bgwc5dOjQCeNN1apViwkTJtCkSRN27drFmWeemdDvXETKhloUIb7Y9wVvrHmDL/Z9Ueq63nnnHRo2bMiyZcvIycmhZ8+eDB06lEWLFpGTk8OBAwd46623CsofOXKEhQsX8tRTT/Hwww8DMH78eGrUqMHy5csZNWoUixcvBmDp0qV8/vnn5OTksGLFCgYNGsRNN91Eu3btmDJlCkuXLsXMGDhwIFOnTi344R8/fnzB8c466yyWLFnCkCFDeOKJJwB49NFHueKKK1i0aBFz5sxhxIgR7Nu377jzev3118nMzCx2UMLTTz+dpk2bsmbNmlJ/hyKSHEoUIeZtmcc7G95h3pZ5pa6rdevWzJo1iwceeIC5c+dyxhlnMGfOHDp27Ejr1q2ZPXs2K1euLCjft29fALKysti4cSMAH330EbfffjsAGRkZZGRkAJGXE61fv55hw4bxzjvvcPrpp59w/NWrV9O0aVMuuOACAAYMGMBHH30Uerz33nuPX//617Rt25auXbty8ODBgpcrQeQdGw888AATJ04MPfeKOEyMSGWiS08hOjfsfNxnaVxwwQUsXryYt99+m5///Of06NGDcePGkZ2dTZMmTRg9evRxw4nn/wu9SpUqHDlypGB9UUOV161bl2XLlvHuu+8ybtw4pk2bxvPPP39cmZJ+rIs6nrvz+uuvc+GFF55QPjc3lz59+vDiiy/SrFmzYuvNy8tj48aNBQlKRMoftShCNKjZgL7N+9KgZoNS17VlyxZq1KjB7bffzvDhw1myZAkQueSzd+9eXnvttRLruOyyy5gyZQoAOTk5LF++HIAdO3Zw7NgxbrzxRsaMGVNQd+3atcnLywPgoosuYuPGjaxduxaAl156icsvvzz0eFdffTX/8z//U5Bk8t/DvXv3bq677joee+wxunTpUuz+e/fu5cc//jE33HADdevWLfH8RCQ1qUWRICtWrGDEiBGccsopVK1alfHjxzN9+nRat25NWloa7du3L7GOIUOGMGjQIDIyMmjbti0dOnQA4PPPP2fQoEEcO3YMgMceewyAgQMHcs899xR0Zr/wwgv069evoDP7nnvuCT3eQw89xE9/+lMyMjJwd9LS0njrrbd4+umnWbt2LWPGjGHMmDFA5DJV/nsxunXrhrtz7Ngx+vTpw0MPPfStvzcRST4NMy5Jo7+JSOrQMOMiIvKtKVGIiEgoJQoREQmVlERhZo+b2admttzM3jSzOsWU62lmq81srZmNTHScIiKSvBbF+0Ard88APgN+XriAmVUBxgHXAC2BfzezlgmNUkREkpMo3P09d89/imwB0LiIYh2Ate6+3t2/AV4BeicqRhERiUiFPoq7gL8Wsb4RsDlqOTdYVyQzG2xm2WaWvX379jIOsfR2797NH/7wh2SHEWrSpEkMHTo02WGISIqJW6Iws1lmllPE1DuqzCjgCDClqCqKWFfsQx/u/oy7t3P3dvXr1y/9CZSx4hLF0aNH43bMeNYtIpVH3BKFu1/p7q2KmP4MYGYDgOuB27zop/5ygSZRy42Bsnu5glnZTiUYOXIk69ato23btrRv355u3bpx66230rp1awBuuOEGsrKySE9P55lnngEio8Xef//9BXVMmjSJYcOGAfDyyy/ToUMH2rZty49+9KOCpFCrVi1++ctf0rFjR+bPn8/IkSNp2bIlGRkZDB8+HICZM2fSsWNHMjMzufLKK/nyyy/L7GsVkQrI3RM+AT2BVUD9kDKnAuuBpsB3gGVAeiz1Z2VleWGrVq06fgWU7VSCDRs2eHp6uru7z5kzx2vUqOHr168v2L5z5053d9+/f7+np6f7jh07fNu2bd6sWbOCMj179vS5c+f6qlWr/Prrr/dvvvnG3d2HDBnikydPDk4Lnzp1akGdF1xwgR87dszd3b/66it3d9+1a1fBumeffdbvu+8+d3d/4YUX/N577y3xXMrKCX8TEUkaINuL+U1N1lhPTwOnAe8Ho6EucPd7zKwh8Ed3v9bdj5jZUOBdoArwvLuvLL7Kk5TkoUs6dOhA06ZNC5bHjh3Lm2++CcDmzZtZs2YNnTp14vzzz2fBggU0b96c1atX06VLF8aNG8fixYsLxoc6cOBAwThLVapU4cYbbwQi74KoVq0aP/zhD7nuuuu4/vrrgcjIr/3792fr1q188803x8UhIlJYUhKFu/9bMeu3ANdGLb8NvJ2ouBKpZs2aBfMffPABs2bNYv78+dSoUaPg3Q8A/fv3Z9q0aVx00UX06dMHM8PdGTBgQMHgf9GqVatGlSpVADj11FNZuHAhf/vb33jllVd4+umnmT17NsOGDeO+++6jV69efPDBB4wePToh5ywi5VMq3PVUKUQP+QLKG34AAAdESURBVF3Ynj17qFu3LjVq1ODTTz9lwYIFBdv69u3L9OnT+dOf/kT//v0B6N69O6+99hrbtm0DYNeuXWzatOmEevfu3cuePXu49tpreeqpp1i6dGnB8Ro1itxANnny5DI9TxGpeDTMeILUq1ePLl260KpVK6pXr853v/vdgm09e/ZkwoQJZGRkcOGFF9KpU6eCbXXr1qVly5asWrWqYFjxli1b8sgjj9CjRw+OHTtG1apVGTduHOedd95xx8zLy6N3794cPHgQd+d3v/sdAKNHj6Zfv340atSITp06sWHDhgR8AxJPW3YfYO6a7VzavD4N61RPdjhSwWiYcUka/U3KztRF/2Tmsq18v8059G9/brLDkXIobJhxtShEKoBLm9c/7lOkLClRiFQADetUV0tC4qZSdWZXxMts5ZX+FiLlR6VJFNWqVWPnzp36gUoB7s7OnTupVq1askMRkRhUmktPjRs3Jjc3l1QcMLAyqlatGo0bFzVosIikmkqTKKpWraonkEVEvoVKc+lJRES+HSUKEREJpUQhIiKhKuST2Wa2HThx8KOK6yxgR7KDSAKdd+VRGc8ZEnve57l7kU9sVshEUdmYWXZxj95XZDrvyqMynjOkznnr0pOIiIRSohARkVBKFBXDM8kOIEl03pVHZTxnSJHzVh+FiIiEUotCRERCKVGIiEgoJYoKwsweN7NPzWy5mb1pZnWSHVMimFk/M1tpZsfMLOm3EcaTmfU0s9VmttbMRiY7nkQws+fNbJuZ5SQ7lkQysyZmNsfMPgn++/6PZMajRFFxvA+0cvcM4DPg50mOJ1FygL7AR8kOJJ7MrAowDrgGaAn8u5m1TG5UCTEJ6JnsIJLgCPAzd28BdALuTebfW4mignD399z9SLC4AKgUY3i7+yfuvjrZcSRAB2Ctu69392+AV4DeSY4p7tz9I2BXsuNINHff6u5Lgvk84BOgUbLiUaKomO4C/prsIKRMNQI2Ry3nksQfDkkcM0sDMoF/JCuGSvM+iorAzGYBDYrYNMrd/xyUGUWk2TolkbHFUyznXQlYEet0b3sFZ2a1gNeBn7r718mKQ4miHHH3K8O2m9kA4Hqgu1egB2RKOu9KIhdoErXcGNiSpFgkAcysKpEkMcXd30hmLLr0VEGYWU/gAaCXu+9PdjxS5hYBzc2sqZl9B7gFmJHkmCROzMyA54BP3P3JZMejRFFxPA3UBt43s6VmNiHZASWCmfUxs1zge8BfzOzdZMcUD8GNCkOBd4l0bE5z95XJjSr+zOxPwHzgQjPLNbMfJDumBOkC3AFcEfz/vNTMrk1WMBrCQ0REQqlFISIioZQoREQklBKFiIiEUqIQEZFQShQiIhJKiUIqFDPbW8L2Omb241IeY6CZNSxNHSF132Nmd5ZQZpKZ3VTE+q5m9tZJHu8dM9t9svtJ5aJEIZVNHaBUiQIYCJR5ojCzU919gru/WNZ1h3icyP36IsVSopAKycxqmdnfzGyJma0ws/yRVn8NNAseYHo8KDvCzBYF7/J4OFiXFrwL4NngfQDvmVn14F/y7YApQR3Vo47ZwswWRi2nmdnyYP6XwTFyzOyZ4MlbzOwDM/svM/sQ+A8zG21mw4Ntdwf7LDOz182sRtQpXmlmc83sMzO7vojzrxm8y2GRmX0cdf7Hcfe/AXnf+ouWSkGJQiqqg0Afd78Y6Ab8NvhxHgmsc/e27j7CzHoAzYkM490WyDKzy4I6mgPj3D0d2A3c6O6vAdnAbUEdB/IP6O6fAN8xs/ODVf2BacH80+7e3t1bAdWJjMmVr467X+7uvy10Dm8E+7Qh8jR29FPJacDlwHXABDOrVmjfUcBsd28fnP/jZlYztq9O5HhKFFJRGfBfwb/oZxEZkvu7RZTrEUwfA0uAi4gkCIAN7r40mF9M5Me5JNOAm4P5/sDUYL6bmf3DzFYAVwDpUftMpWitglbDCuC2QvtMc/dj7r4GWB/EXfi8RprZUuADoBpwbgzxi5xAo8dKRXUbUB/IcvfDZraRyI9lYQY85u4Tj1sZeQfAoahVR4m0BEoyFXjVzN4A3N3XBP/a/wPQzt03m9noQrHsK6auScAN7r7MzAYCXaO2FR57p/CyEWkBVYaXOkmcqUUhFdUZwLYgSXQDzgvW5xEZPDHfu8Bdwbj/mFkjMzu7hLoL11HA3dcRSSoP8a+WQn5S2BEc54Q7lopRG9gaDDd9W6Ft/czsFDNrBpwPFE4I7wLDovpCMmM8psgJ1KKQimoKMNPMsoGlwKcA7r7TzP7PzHKAvwb9FC2A+cFv6l7gdiI/9sWZRKRf4ADwveh+isBUIncTNQ2OudvMngVWABuJDBkei4eIvNVsU7BvdHJaDXxI5HLaPe5+MIg/3xjgKWB5kCw2cny/CABmNpfIZatawSi8P3D3CjkCr3x7Gj1WRERC6dKTiIiEUqIQEZFQShQiIhJKiUJEREIpUYiISCglChERCaVEISIiof4/l0/qGb/El50AAAAASUVORK5CYII=\n", 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\n", 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\n", 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olUqoVCp0dHTgyJEjsNlsaGxsXPE6xefE7XZjeHiYb65vBlXpvCqVSm4U+lGr1dBoNDAajTwdQbvhfD6PbDbL0xb1AnLWNRoNVCoVH0Dij0ql4vag3S/9TlGWegLZpHIjQ/+n6BMtKoVCoezferMHcOOGBgBfWNfi7tWjLTaClTbDoi1q3Ta0sJhMJuh0Oj5/5HI55HI5ZDIZZDIZPl/S9YppcjEoIB5Xj6BxoFQqodFo0NjYiIGBATQ3N2PXrl3w+/0YGhpCMBiEJEmIx+M8AltP681qUCqV0Ov1cDgc6OjogM1mK3NgKsdGJpPB2NgY4vF4zUZdxXmBMhcmkwk2mw133303PvzhD8Nut2/I8aKxpVAoatZ57ejoQHt7O/x+PwKBANxuNzweD/bt24e77roLPT09aGtrK6OTVELc6DU3N+NDH/oQTp8+jeeffx65XG7T51RVzis5Hjqdjk+69KPVamEwGGAymVAsFrG0tIRkMgmlUolMJsP5SIuLi3UxyYoDXq/XQ6/Xc0de3PGIzms6nYZSqSzjGy0tLe30pWwJaGGlCZMmAtFpFSNOAPj1U5Sknhbg1Zx4wkrOqxidr8eMxWrO+lrHruSsUSq01mxT+TzodDpYLBbuvNJ8IkkSFhcXUSgUyjZ1ojNSudmrdyeN6BZqtRp6vZ5TBzo6OsAYw+zsLHK5HAwGA4+g1aojshmITr1er4fZbIZer+fjQrRDoVDAwsICMpkMkskkMplMTT1DarUaKpWK+yGLi4tYXFzkgTO73Q6Xy4W2tjb09fVBqawq9+m2QKvVQq1Ww+PxoLOzE4wxLC0toampCe3t7di7dy/uueceWK1WGAyGDc27kiRBr9ejp6cHs7OzZWv2ZlAV1idnxOVywWaz4ejRozh06BAsFgssFgsfPMS9ocUmm80ikUjg6tWr+MUvfoH5+XlMTk7ySCxQe4szYwx6vR4ajQZtbW1wu93o7+9HT08PTCYTjEYj1Go11Gp1WSi/UCggFoshEAhgeHgYv/zlL5FMJhEMBmu20ECMPCuVSlgsFhiNRng8HjidTuj1ehgMBmi1Wmi1Wp7GyufzWFhYQCwWw9zcHILBICYmJsoi9LVki8qoMm1gtFott404kYqFEpUOK0XlKfJWjdw9uk5xgSSIGxXxb4wxXkRBzwW9VhlZFAtyAGBxcRGZTIYXVtDmuFbGCV0HXbfBYIBOp0Nrayuampr4eKFMVSQSgVKp5Olv+gxyUvL5PHK5HBYXF3mhyVpUg1oH2c1sNsPlcqGlpQWtra1wuVwwmUycKpDJZBAKhZBKperSDiLoedJoNGhvb8eePXswMDCA1tZWPt9WRh1nZ2fxz//8z3wNrjUb/eqv/ipOnTrFn59f/vKXePnll3H06FHce++9sFqtcDqdaGpqglqt3tDmhfjA0WgUyWRyxzaBGo0GjDGekd0IGGP46Ec/iscffxxGoxFGoxGpVArJZBJGo5FHoh0Ox5oR15U+l+bYW4nM77jzSs6JRqOBw+GAx+PBwMAAjh07BpvNBpvNxp012h3TQ5HNZpFOp6HVajExMQGFQoFQKIRsNovFxcWaq3akRZmcMnF3s2/fPpjNZh5J0Wg0fJGn64xGo5idnQVjDENDQ2hoaOC0ilpcfMgeWq2W89BsNhva29vR3NwMs9kMk8kEg8EAg8HAHZNcLod0Oo35+XmoVCowxhAIBMAYw8LCAgDU5LhQKpVoaGjgkTSj0QidTscjBgD4zpg2K2JUkf5Oz4d4XLVgpYgy/Uvjnewg/p3sQg4sOfMNDQ3cCRWzGWSvhoYGHkmj54QmVSpyqgWIjrlarYZWq4XJZILVai3L1jDGkMvloNVqoVQq+fPQ0NDA30e228xiV6vcTxpnCoUCGo2GzylGoxF6vZ4HCWhc5HK5uiy4ESHSKLRaLSwWCzweDxwOB4xGI3+GgOub4sXFRSSTSYyOjsLv9+/oc6PT6fhzXXkeq41Txhi6u7tx4sQJHhQIBAIYGRnBnj17eHTR4XCUzT30XoL42WSXhYUFpNNpHlDbblBATKVSIRaLlY1fUo9YWFhY8Z719/fjV37lV/j/KbtNmd+bBWWKs9nsTc8bO+a8Msb44vvoo4/iyJEjPKLW1NQEt9vN0+Ir8RmBUpgfAHbt2oX3ve998Pv92L9/P2ZmZvD2228jmUwiEAiURQ6qEbT4ut1uWK1WnDx5Evv370dLSwtcLhccDgdsNtsNA4YWJNFBof8DpZ3w4OAgQqEQxsfHecSt2jl9tNi6XC6YzWYcOHAAnZ2dPBpisVhgNpu5k0LXT/QSirBGo1G0tbVhYmICDQ0NCIfDmJiYwMLCAlKpVNVypGmc08JJi6jdbofRaERTUxNsNhtMJhP0en2ZHSRJ4pFnlUoFnU5XlsaLxWKIxWKYnZ1FOp1GJBIpkyvZyXEhLpoiNYTsoNPpoNVqYTQa+b2mOYKihmJGgiLxQGkh0el0vHo8l8vx54c2O9FoFF6vF6lUCsFgkEfbxOerGiFu8rRaLXfAKBtBmz+1Wg2DwQAAfPNCi6vIOVMqlfy4TCbDnWKRelM5Tqp5PlkNYmZHr9ejq6sL73rXu9Da2gqn0wmTycTHFwULiG5B7xftAuyMHXQ6HRQKBZceuhWImyCn04nOzk709fVh9+7daGlp4c+XGD2bm5vDm2++iaGhIUxOTiKRSPDMxXbDaDTiD//wD9HT04O/+Iu/wPnz5/lrJpMJGo0GyWSSb9pEmM1mtLa24rnnnsPLL7+M7u5ufPzjH4fNZkMymYRWq+X2XS3VLTrHiUQCIyMjOHfuHM6cOYNYLMYzXdsJg8GAT33qU+jp6cHnPvc5nDt3DkDJf/qd3/kd3Hnnnfjyl7+MV199ddXPoDFO8zFd581QZyRJwuXLl/HZz34W09PTSCaTN3VdO+K80gOi1+thsViwb98+nDp1itMGKqVeKidNMeKiUqlgt9uxe/du2O12PvHOzMygoaEBkUgEQHVH2iiqZjab4Xa7MTAwgLvvvhtOp7MsciLqDRYKhbLJkxYvxhg8Hg/27NkDvV6PaDQKhUIBv98PADwtWo2LDd1XctItFgtcLhd27dqFvXv3oq2tDY2NjTzyTPZYWFjAwsICj1iTc6LT6aBSqZDP5+HxeFAsFrkdqpWPJabFaeEkzjM9H52dnWhsbCxzXomrWCwWuTOi1+thNBqRSCQQDoeRTCb5DjyZTEKSJCQSCf691WAPGtPkWJLzpVQqYbVaodVqYbPZ+L2msaBSqbgzS/MHObU03o1GI8xmMzKZDBKJBI/AUmTEYDAgm81CqVQilUrxKGU1O67i4kHPDaV7aYGlqCJFV2kcUARFkiTkcjnu6FdG+tfjElfDuLlZiBFGh8OB9vZ2Tkmi+VS0gRjFr/ycnbADnT9F0bdinaNrpWyX0+lEY2MjzGZzWdGRJElYWlpCIpHA2NgYpqenkUgkdnRuValUOHLkCA4dOoSnnnqq7Joos5DJZFZ8Lz0/Pp8Pr776Kpqbm9Hf349sNotUKgW9Xo+FhYUyB341SJKEdDoNn88Hn8+Hubm5Vb/3dkOlUuGOO+7AoUOH8Ld/+7f87wqFAvv378cDDzyA73//+yu+V6QOiUV65JOJtSYb4QATL3pmZgbPP/884vH4TV/XtjqvdKFOpxNGoxEPP/ww9u/fjyNHjqClpYVHCuihSCaTZfwicRIWndulpSUoFApYLBbs2rULdrsdJpMJ09PT+PnPf45YLAafz1d1DizxFZuammC1WnHq1Cn09/fzqCuRpUlXMBaLIZlMlkVa9Ho9n2BF/UGTyQSPx4P+/n5YrVbk83lEIhGMj49jYWHhlsL1twt0vY2NjbBarTh69Cj6+vqwZ88etLW18VQepfBSqRRSqRQAcKceAH/QKGpptVrR1NSEYrGIQCDAJ1iSeKmWSDQ5XWQHi8XCuYtWqxW9vb3weDw8+kzHkdNK0TSikZCDl8vl4PF4kEqlEIlE4PV6kcvluCND/MZqodmQU0mOOVFl3G43TCYT3G43zGYzbDYbDAYDX7ypyFOkGYkFWeTUUaSVXs/lckgmk7Db7dBqtQgGg2CMIRaLYWFhgdumGsZIJcSNPUWTMplMWSrQbDajqamJ0yEWFxeRSCT4PEAbHiqKpfQ4bSLE71ip+HG1tGm1gyKqTqcTzc3N2L17Nw4cOACz2Qyr1codeFqLcrkcz3zRpoioJjuVuZAkCdlsltOFtuLzqFgPAJ+PDx48CKvVWnav4/E4JiYmcP78eTz//POYn5/nUdedGgfpdBqf/exnYbVaMTg4yP8uSRLPPq1E+5AkCd/+9rfx5ptvYmxsDD6fD9/73vfwxhtv8PWmo6MDfX19OHLkCB5++OFVzyGVSmF2dhbnz5/HV77yFQQCgRUjvduFlWxiNpuh1Wrx1FNP4Qc/+AGPxoqQJAlPP/003nzzzRU/V5IkXkR/8uRJvP/97183EnvhwgV84QtfwOTk5C0789vuvIrE+P379+P48eNoamqC2WzmO758Ps85NOFwmL9frVbzFAl5+WLkkVJjOp2O76IuX74MSZK4tEk1QdzxU7T08OHD8Hg8Zfag1F4sFkM4HC6riiUnTVQdYIxxzltjYyOKxSIaGxsBADMzMygWi8jlclW30FD0jKo6e3t7ecTV6XRy5444m5TqFVPMIs2E/q/T6WA2m5FIJKDX65HP56FSqcoiKDttC5EaQ84XRU5dLhdcLhc6Ojr4RsdgMPDIYj6f5474wsJCWbW5wWCAXq/n3GC1Wo1cLgez2YxsNguVSoWlpSXu5FVDBLbSDqQ+YrVaYTKZeEaCNsEUoa1UKSHQ5oTGycLCAq+MZYwhm83yjSTZLxAIYGlpiTsp1YzKTTzNn3TexFsk55WKHAHw6CvNl6LdxCwAcYfp30pUw7jZLIhqYjQa4XA44Ha70dzczJ8bolWQc7+4uMgdWnJqq2FsbLWijEiDaGho4FQlounRMZlMBrOzs5iamsK1a9eQTqdvSvJoK5HP5/HSSy+t+tpaGBwcLHN44/E4Ll++zP/f3d2NcDgMp9O5YvSd7JbJZOD3+zE+Po433nhjx7iuhEqbiHVG586dW9OJvHDhAi5cuLDqOmmxWOBwOOByufD+979/xc8guywtLcHr9eL73/8+DzrdCrbNeWWMobm5GXa7HY888ggGBgZw4MABNDc3Q6/XAwAnw7/00ks4ffo0otEoT/sD4It5e3s7+vv7YbFY4Ha7eScUmmRpN6DX65FMJnHt2jVMTU3xaJsYMRDbAG7X7oi+r6mpCU6nE/fffz92796Nffv2oampCVqtFsVikUdaz549i4sXL3K+Ik2eJAjc1taG3bt3c+dPkqQyvpvdboder8fk5CSCwSBisRjS6fSKEceVHsjbDZFjRWoTvb292LdvH9ra2qDT6VAoFBCJRJBKpXDt2jVMTEwgGo0iGo3yiJrH40FbWxscDgePtFK6yGKxIJfLobW1lfNAaRdeDdxXsRqenAiHw8EpMe3t7ZzrSmnMdDpdFpFPp9NIpVK8EtRsNpdJvdBmx2azweVyYXFxEUajEQD4eKiGDR5twkQet1qthtVq5VI1NKbJ6RQL2UiJhJx5UX0AKOfWUsSWxj3NEU6nkzuvS0tLNeOc0bNvNBrR2NjINzxOp5NHWi0WC6xWK6+ApnmC0qEiT5gii3Q/VtNLrgXbEOj+0/qxZ88e7N+/H93d3bBarXwjvLi4iHg8jlQqhYWFBU5HErWjFxYWVuUB1ypoHbXb7eju7uZrLD1DpPLz1ltv4Stf+Qrm5uYQj8d3hM+5nchmswgGg6s6XqFQCCMjIxgaGsL3v/99zMzMVF1xH91bWi826vOsNrZzuRyi0eiqDjA5rm+99Ra+/OUvY3Jycss2ONvqvFL69uDBg3jXu97FIye0cOTzeaRSKVy8eBHPP/88IpEI72xCnDWTyYRDhw7BaDRicXERFouFL0KilJbRaIQkSdi1axdP91CXGZG/RRMVRbC2yxYNDQ2wWCxobGzEnj17cPDgQc4routNJpOYn5/H4OAgfvrTn3KZCoo0ud1utLa2YmFhAW63m/cWpkgsFWjQ4ry0tASz2cz5baulQkX7bIczQ+es1+ths9nQ1dWFgYEBtLS0wGaz8cUzkUggGAxieHgY58+fRywWQzQa5RG3jo4Ovsg6HI4yDi1tfGw2GxYXF7lDTBHHaoBY+UznbDab0djYyG1BnF5K7abTaYTDYUQiESQSCcTjcdjtdn7f1Go139BRFNNgMJRVU5O24c12OtlqrCSKT5FkqqC32Wxl2qUix5U2wZlMhmsfU6RdkiTuzAPXCy90Oh0WFxe5cgVFJysri6sVYmSEIoomkwkOh4NLzNH9pcIusbhTFFGnzyJnlZ6p9ZoVVMtztB7EzITNZoPH40F7ezsaGxv5Bo9oOJlMhtNq6Ed0XkVVj1q5/vVAc5DBYIDT6YTZbOZ0CUmSOO1kamoKr776Ks+E1TsWFxeRSqVWpYiQ2sKFCxfwwgsvVJ3jClwvBia63K1iaWkJmUxmVclFeo7Gx8fxne98Z0uj0NvivNLD4HA4OH+PIoPkVC0uLuLs2bMYHBzE6dOnMT09zSMnBEqNLS0t8eiBzWYrk44SW5jl83nE43FenELnQv+K0ZTtbG5A9iBnihxMSnmThMTZs2dx7tw5nDt3Dl6vl+/+xTQeALS1tZUJSVNqi3Y9xWKR80MXFhY2xEnazgWb7EE8RqvVCrPZzNNU0WgU8XgcZ8+exZUrV3jkNZfLIZvNcgesUChwCSmx6IS4wUQroaphceGpFtCiSBxN4n0C4JNEIBBALBZDMBhENBpFMBhEOBxGJpNBNpvlz0VLSws6Ojrg8XhgMBg4vYbsslLF7E7TKGjMEjeTImD0Q13kaJNK50zzSLFYRDweRzweRyKRQCKRKNvYUkS7paWF04sA3FBBTRFH0ZmrVogFflqtFlarFW63myuVaDSaMn3fRCKBSCSCeDyOdDrNxwMAbndKk5PzWhlxraZnZrOgcUBUnLa2NrS2tsJisfANey6Xw/z8PIaGhjA2NoZwOMz5nKLTWosShOuBNont7e04cOAAWlpa+POVz+fh8/lw9uxZXL16dcuKxGoBVHfgdDrL/k6UratXr+Jb3/oW5ubmqrY5EM1pWzVe1Wo1jEYjpyGJkCQJZ86cwTe+8Q2Mjo5uuTO/bc5rQ0MDzGYz7HZ7maMGXO+END4+jtdffx2jo6MIh8MrGpgmUCpGEbl/Itexcudc+VmiEPp2TzxkD5KwoSITOidaZMbHx3HmzBlMTU0hFAqVVboSn5MKUChaR59D1ec0yYppVPHBEgfyTi3Sok4nyaeJxXupVIqnZN5++234fD7Mz8/zhYSu3WAwwG6382Ic0Sb0Q99VjfJpdB/IeaMNCUXM8vk88vk85ufn4ff7MTs7i3A4jPn5eYRCIe50WCwWRKNRFItF/pyQQyzyGKvNKRMdIxq7osamKO2UzWb5/af3ZbNZ5PN5hEIhRCIRRKNRxGIxzp+l6HuhUIDVai2rjqXoLW32xPFRbXaqBN1TijBTxJ70SolKQYss6WNTRJGeEQD8ONrciVHXenBcgetcV1IzISlCKn4ljms8HofX6+VFnmLDhmrc+G4V1Go1r0tpb2+H1WoFcL1SPBwOY2RkBLOzs1XD+90OGAwGXo9CoIBaLpfDzMwMXn755aqMuBK2esxSdlfkytP3FAoFjI6O4lvf+tZtoWRuq/MqLkqi5EQkEkEymYTP54PX60UikViRi9ne3o79+/fj2LFjGBgY4LxWUb6hUCjwSWd8fBznz5/H9PQ0crlcWcRxpR3Idk1EYhGEyC8jWYr5+XkEAgHunFRKj9BC1dPTg3vuuQcHDx7knU+odR85rFT5eO7cOfh8Ps53XYm7Ji5O27lgi7QBSteqVCpks1lks1mMjIxgZGQEY2Nj8Pv9SCaTZRXgpELR0tKCI0eOoLe3l1fGUgELqTbEYrEyHlu1VZFTdFTUKqUFlaI/V69exczMDILBIKcKUMcscnopEk2i/WIEkaJrYqMCclJ2ekEWq51pEcjlclAqlYjH41CpVDCZTFAqlUgmk3yM01ihxZWiiplMpqwJilqt5gsuzUMEen8mk+E0DIpAVtMYEUHFmdS+0mg08oI+kfurVCo5Z57mgMpFlopkU6kUv3ZxnqhWG2wU9AzY7XY0NTWhqakJDoeD/2i1Wj5+pqencfXqVQwODiIQCMDv93ObVQNH/naAMhRHjx7Fww8/jH379sHlcnHHJJVKYWZmBkNDQ7yjZT3aoRJEwdu/fz+eeOIJHokmib23334bP/jBDzA8PFx1AZHbjXvuuQdPPvkk9uzZw7MWS0tLOHv2LP7xH/8RV69evW1R6G1zXiu14WjxJE3FcDiMUCiEYDCIdDq94vs9Hg8OHz6MgYEBtLe3l6kO0ORaKBR4FeT09DTGxsa44Lg4sMSKyu0GOfP0O50P3eRYLIb5+XlEo1G+iIiLBzmvLS0tuOuuu9DV1cWr8ZVKJXdOaPGKRCIYGRlBMBjkAs3rLUbbuVBVdgaiSDpF0mZmZjA6OorZ2VlODhfvJaVMHQ4H+vr60NLSwguRAPBNUrFY5EVNojxUtS3KlVXeQOl+RKNRBAIBeL1eTE5OcieE6CSVah3EfxSjrHTfV3Jcq8UWYkcwkTaQSqWg0WiQyWSg0+k4JYic+Ewmg4WFBR5xpffRpo4cWLH4iOxEUSXaQJITJ9JLqhXEZTYajbBYLGVqAmJxBNEpyNknnhqNDZKfy2aznKJSDRuarYKYAfR4PNzZJwoajYd4PM7XDyoMDYfDZe106xEUBNi9ezcee+wx2O12WCwWANcluebn5zE1NYWLFy9WpWLN7QAVdXZ3d+PkyZP877TZu3z5Mp5++uktaRJRaxgYGMCHP/zhssDIwsIChoaG8LWvfe220kq2rWBLkiRMTU0hm83CYDAgFArxynCKHOVyOR4NE2EymcqaGVC/brGwYGlpCdFolMt2PPfccwgGgxgbG+POTjU9aJIkIRgMQqFQYHx8HGq1mvNfycEUiwOA6068y+VCU1MT9uzZg71798Jut5f1Ws7lclzPk3Trrl27hlQqdYPiQjWACsxI/ioejyMSifDUJvHzaMGttIfNZkNzczM6OzvR2dkJu93OC3SIOjI3Nwefz4epqSmEw2FOn6gWhw24vmEgJx4AX0yVSiVCoRBCoRCvEieOKzmhtAkgCobBYIDVaoXRaOT92WkBpkglFTeJ1f07DZH3KkrFUZSVuoJFIhFkMhmEw2HEYjF+PalUCul0mjvklBLX6XRwOBycc0+bGvp86sg3Pz/PN3qVm95qAm1uSArN6XRyFQaKDFG6e3Fxkd9zUlGgokBR3YGoKSIlo1qej1sF0bTMZjOPUDscDhgMBigUCmQyGcTjcczMzODatWvwer2IRqO8SKdax8FWgDGGtrY29PX1ob+/H263m89BYietN954A6Ojo2VSbPWOY8eO8S6gVD8Si8UwODiIF154AcPDw3xdfaegra0NHR0daG9vx+LiIvx+PyYnJzE+Po5z587h6tWrG24tfbPYNue1WCxySQ2LxYJUKsUJ4LT40u/EzSMYDAa4XC709PTgyJEjq/ZWjsVinBf5k5/8hC9m1TgBUyRNkiT4fD6uK0iLNC2alTxXUm3o7OxEd3c3uru7eScmiiDl83nEYjFMT0/jzJkz3GmrNmcNKO+oRNyhVCrFI0S0oFCaX+RuUiSFdAibm5vR3NzMHZN8Pg9JKnUPCoVCnCtKi1G1Tr5UeAOUomHpdBoKhYJLx5HjKm72RF1GimJT4QUVfYlNHIj/LGqCVsu4qKT2kMNNz0Y8HufqE9TyNpFI8ELHXC7HFTVEahAVMxGvmjjQxHFMp9NcwSIWi/FNb7WOExr/tFGxWCy80QLRZahQk6hCNNeShJzYtIHm0cq5p15AnHrSPqaoK6lKUIEvRReJokQOfz3ZQgSNI4/Hw1tx22w2/jptakKhEC5fvgyv1/uO4roeOHAAH/nIR6DT6SBJpc5Zc3NzeOutt/Dtb3+bU3PeSWhsbMShQ4fg8XiQz+fh9/tx7tw5nD59Gv/0T/+0LcHCbXFeaZCTLuW1a9cQDoeRy+Xg9/thtVr5ZNLb28v5fMTdO3bsGO/GJXIAabGZmJjA2bNn4ff7MTw8jNnZWZ72qkbHlZwIql4dHh5GKpVCX18fGhsbeaqPWoFSNTlx244cOYIHH3wQu3fv5nzGpaUlxGIxBAIBjI6O4vXXX4fP58OlS5fKek1Xmy0oOkqRL51Oh/n5eWg0Gr6ZYYzx8UFSX/l8nnMZ+/v7ceLECezatYs7JOTczM3N4erVqzh79ix8Ph/i8fiWyYRsNcSNmKgnmc/n+YaGHHeiiFAxjiRJnJtFkWiKKpEWKkXe6LmhrkHVWGBAzy0tnNScQq1W840vpbhFB1zUyqXIpMlkgsvlgtvtLksXi4VwkUgE8/PzmJychN/vvyHKX42gjIXZbOayg8TtTqfTPMJOGxWxCQi1PmWM8ag1UZfqLeIqZmhI85aaXJA8Fsk/zc7Owu/3IxgMcu3Sap07twrNzc3weDw4fvw4HnzwQXR1dfHXKEM4OTmJq1evwuv1IhQKVfWmbqtABeE0X4TDYQwPD2NwcBCvvPIKxsbG+HP2TkNfXx/e8573YGpqCn/yJ3+CYDAIr9fLmyBtx7Oybc4rcWZyuRwmJiZ4x6tIJMJ7tRuNRnR2dmJhYQGpVIrrEd5111148sknuVAyRRhTqRTm5uZw7tw5PP300wiHw/B6vVX/UNGDT9HEsbExRCIRLuFEvE+73Y729nYApfQxVQ/v378fDz/8MJf6oQU+Go1ibGwMb731Fn74wx8iHo8jEAhUvT1IEonueSgU4jQIisBT60qxGYXRaITRaERfXx+OHTsGp9PJU8TUc9vr9XLtPXLYqnUhEvmoYlqOnHsx2iH2k6b30eaGmldQBbX43JDzStE4sSCp2mwiOq/E5aUIKT3/5JyJiynxmymibzAY4HA44HQ6eYtZUmAg+a1kMolQKASv14tIJFJW4FltdiHQ/ScVF71eD5VKxTd91BGKxhKpk1ClvVhAS+ouIv+5XlDJdSXtUurkp9FoeAtYoo2Ew2Ekk8kbFC3qDYwxNDY2YmBgAEeOHMGJEyfKVDgkSUI4HMbQ0BBGRkYwMzODZDJZ1xQKgl6vh8vl4gWQExMTGBwcxM9+9jN897vfrdp1ZDvQ2dmJhx56CF/84hfxV3/1Vzui3rOtnFf6lxbLSCQChUIBl8uFYrGI3bt349ChQ7jnnnuQTCZ5OvyOO+6ATqcDUIqSDA0N4fTp09zb93q9mJ2d5dGDaoeYFgVKVZyMMYRCIWi1Wt7RpK+vD319fTxiRmL8e/fu5e0tc7kcJicnMTQ0hMnJSVy4cAEzMzMIhUI1Q6inBVSU8KHIqkKh4F1vrFYrenp6eDqYCi327t0Lp9PJheZJy/Ly5cv4+c9/zjuLUR/3arYJORDkVFG7UpIkWVxchN1uB4CydBVVnRsMBjQ1NcHtdsNqtZZ1xiEnjTjFtDhXq03Ewq2GhgZkMhku6yQ20KCCCqKekPNFDr7H40F3dzdaW1s5l0+v1yOTySCZTCIWi3FJJKILiM7bVuoibiVEagjxeCniLBblkQ6jXq/nmxmtVotkMolEIlEmIScWhdaLA0scV4vFArVaDbfbzfU6VSoVV5fw+XyYmJjA/Pw8L+qsZ64rRaCPHz+OkydPYs+ePbzAEwDndl66dAkvvvgipqenEYvF6j5Fft999+Fd73oXbDYbbDYb9u/fj2w2iytXruDZZ5/FxMRE1c6Ztwt79uxBX18fmpub0dTUBIPBgC9/+ct49dVXdywKv23OK3DdaSNOVSQSwdLSEjo7O1EoFLBr1y709/dz7VNRj5IiL9lsFoODg/j617/OnddaHESiJFAqlUKhUEA4HIZGo+Fi/T09PWhpaSlrYkCdwhQKBXdqR0dH8aMf/QgjIyM4d+5cVWqYrgU6V+K7EpeTHC+bzQaj0cjbf1IE2m63w263w2w2w2w2l3GfZ2ZmcPHiRfzsZz/j6g21Mk5EoXhyXkm/s1gscj4ntbclGgEV7jQ1NcHj8cBqtfIGDgB4ajQWi/HIUjWn/8TCLaJSiI4qPT+kk6xUKssq6Ok5aWxsRFdXF1pbW+FyufjfaZzF43HMzc0hEAiU0UqIa16N44bGhFar5QWtYqcxxhjPMuj1ei4FRVFXi8WC+fl53j64smEFObLVev0bBWOM0yrMZjMPDnR3d8Nms3E6jd/vx8zMDLxeL/x+Py+GrOfCJIfDgY6ODtx99914z3vewyl5BMpsXr58GT/96U95wWS948SJE/jd3/1dvs7kcjlkMhkMDw/jhz/84U6f3o6gv78f7373u3HnnXfijjvuwNe//nV86Utfwvz8/I75GtvqvBLEKKwkSbBarWhtbS1LfYmtCumB8nq9uHz5Mi5cuMALb2p5YhXTdrQ4ZzIZ3sedfio7iJE9QqEQRkdHMTg4iMuXL9csF4nsQE5ZLBbjzqpOp+MREyo+MpvNvOiCqBOMMWSzWSSTSUxMTOD8+fMYHh5GJBKpqYi8mCYnXVObzcajipQmVqvVfIGl8UHOjNFoLGubSuOFClJIAzWXy1V1BKEyQ0FccHJSaXMrNhig10mIXq1Wo7GxER6PBw6HA0ajkUdmiVpCEmTRaPSGzmvVahvgun2omI3mTvo76XNSZ0PK3NB4SaVSPNJGkWqiIVU733cjoHFAgvsOhwN2u51zXSlwEAwGeeMTUfmm2goZtwpNTU2w2+247777cOedd6K/v7+sNTRtnC9cuIAf//jHuHTpUlkL0HoDbWZPnjyJw4cP48SJE5w/DgBvvvkmfvrTn+KNN97Y4TPdXjDG8MADD+Cuu+7C3r17sXv3bphMJgSDQQQCAQQCgR3dzOyI8wpcX6glSeLcTiowWU0gf2pqCi+++CJPjdc6qMCEFmJKm5PDQj9iKge4brtAIIC33noLb7/9NgYHB2uWm0XXQ05mNBqFVquFzWbjhRY2mw1OpxMWi4U7rwQxxR4OhzE6OorXXnsNPp8PkUikZpx5cpZIQSAejwMAd14puki0gUQigVQqxdOitNEjEf9K55U0UOl9G9H73WlQEZEkSWULaC6X4+lwii7Tfdbr9WUtgd1uN1paWnhRE2Vw8vk8b5U6NzeHRCJRpngibrKrFeRo5vN53m2Q7inRK5xOJ9rb2zlnnDa40Wi0bG6hqC05srXy3KwGKmC0Wq1wuVxwOp1wOBy8cI8KYYPBIFcXEJVNSJGkmu//zaClpQV9fX149NFH8cgjj9ywvhCv/Ny5c3jqqaewsLBQphdcbyAq0mOPPYbf+q3f4sEzWpdee+01fO5zn6upbOZWgDGGd7/73fjkJz/JHXxqoBQIBDA3N7ej57ejzitxtqxWK6/6XKuzE2l+ZjKZbTzT2wuR40iTBBXdUHp0NZuQLmq1Vs9vBsTRY4whGAxiaWkJWq22rJUnSfuIKU4xQiZG6oivVouLD0lEkUqEVqtFIpHg8k4UPSNnLpfLcceV0uFkS+pAJ0qGJRKJmhDfJ9AzQlW9ohJDLpfjigp0v4leYzAY4Ha74XK5ePGaKI1F1eXBYJAXf1VmLqrVPqJKRywWg1ar5Vkbcujpd4q0kmIHSYmRXRljXJGisplFLUJ8FkjL1mQyobGxES0tLbBYLLxeIBKJ8OY4RBlZSWO7HkAF0HfccQeOHz+Orq6uMseVMhIXL17EG2+8gTNnztzQTryeQIV8999/P+644w4cPny47BkYHBzEhQsXOBWv1jdzGwVjDA8++CAOHTqEI0eO8CAIAJw/fx4vvPAC3n777R0+yx2kDYhFKC6XC83NzZybtxoymQwXD68nUKQnl8shm81Cq9XC6XTyxXY155UKcKo9/btR0IIxNzeHaDTKK6e7urr4AkwalqLDSrxIAJwLKUYWaw00UYopTKIDaLVauFwumM3msgk1n8/zaKvBYMDCwgJXZCBtz0wmwzu33c7OJ1sNylCIzRSUSiVve0oKHTQWSC7KaDSitbWVyyOJMmrUeW5qaopHXSsbV1T72KENSjgcBnC9UxZlKFwuFxfmF6XmAPA5g6ToqNgLKM+K1SLIKSEpMWrWQSL8DocDQEm6kbSfZ2dnOcWIGjXUyvOxUZAW8L333osnn3zyhogrBVFOnz6Nv/7rv+YNLuoVtMF573vfi0984hM3rLOvv/46vvrVryIQCNTdWFgLjDG8733vw2//9m/f8Nprr72Gz3/+8ztwVjdiR5xXmlxaWlqwe/duOJ3OGx6kldDa2orjx49DoVBgeHh4m852e8AY48UoxNVbyx6MMbjdbhw8eBDBYHAbz/T2QXTEgFJaXKvVIhgMwu/3l3WPoqpqKihRKpUwGAw8ok+tQmsRYmEjpXApUkqyPtFolB9LEWmKrDidTs4JpqhtPB5HNBpFKBSqarmw1UDOJEUK6dxJ71mMDhHn12Qywe12w2w2Q6PRcIpOLBbD1NQUpqen4fP5uDKH2E2rFpxXipzH43EsLS3x1B5t7vR6Pd/I0GaFxhIVRlJzGCr+JAWLalahWA9kA6PRCJPJBI/Hg87OTq7xq1arOU84k8nwpijUEpgi8PXisFC74OPHj/Oq8ZUyel6vFxMTE7h27VpdO67ktJ48eRL9/f3Yu3dvmS1o85ZKpRAKhW5oV1+vYIzh1KlT2Lt3L/bt21eWhSEt7WrSBN8R55UKA3p6enDs2DE0NzeXhetXQ29vLwwGAzKZDH784x/X5MS6FrRaLcxm8w3anADKbEO/t7W1Qa/XY3JycidOd8tBzgk5EuFwGIVCAdPT02WcTnLwVSoVL8xRqVS8ipr63mez2Z2+pJsGTRgiJzqdTkOpVCIcDnPqBKV8VSoVrFYrLBYLOjs7OQ9Wr9dzdYH5+XnMzMwgkUjU5MIsOq6kv0ntXTOZDI+2EU/cZrOhtbUVDocDOp0O+XweuVwO8/PzGBoawvDwMEZHR5FIJLiMWi2lBkkPeH5+nlMlxIIr0kHOZrO8fSW1jaWiPaKdJBIJ7rzR59YqiB9usVjgdDrR09ODgYEBtLW1obGxkS/CJJVG1AGSkaP5px5AkoJ2ux3vfe978eijj8JsNt+gLiFJEq5du4af/OQnuHDhAiKRyA6d8e1HQ0MD1Go1PvjBD+JDH/oQL2wkEEUpGo1iZmam7vyM1aBQKPDEE0/gYx/72A1Z8Fwux7O81YIdcV4pItDa2oquri6YTKYNvY9kXkjztV4gLroej6eM+0uLqSRJ/Djg+u7RYDDwwox6ecjEwiXqXT8zM8NbXlLhEvEZaeEmEMezHuxBUQDgOr2EnDgx8kxRMrVaDbPZjMbGRpjNZh5po8hSLUekgfKIqBgZLBaLXJGDOmpRdTnNF6TnOTs7i/HxcczOztas4ypCTP+TY0/OPY0XUjQhRz8Wi/H2y+l0mtNTar3tJ/G8DQYD57g2NjbC4XBwGhbVCsRiMc4BpwY69cbxZIxhYGAAe/bsQUdHBy/qE0ENSyYmJnDp0iXMz8/v0NnefjQ0NODuu+9Gb28v+vr6bshwSpLE1XuuXLlSF2vIemhoaMDhw4d5y3nKaoo4f/48zpw5g0uXLu3QWd6IbXdeGxoaYLFY4HA4sGvXLhw8eBB6vX5D7yVZJKPReJvPcntBVb4ejwd9fX2wWq1chJ04nIVCoexBI56aQqGAVqvd4SvYWtDimclkIEkSpqenucyTWOF48OBBmEwmPi4I1D64XkBOGjmtwHXqDS3G+XyecxydTie6u7v5Yp3NZnlldTwer6rUz82AOLDiv/QMKRQKOBwOtLe3o7W1Fc3NzVCr1ZAkCYlEAlNTU7h27RrOnTuH+fl5hEKhMs50LYKcVNrgEmeTaBDktC4sLCCbzSIej5eNB6KVUCS2VhZsysSI50udtOx2O/r6+tDT08P1sknPNpPJIBQKYW5uDtPT0wgEAkgkEshkMnzOqRcoFAqcOHECjz76KDo7O28IFEmSxDd0b7/9Nl566aWafhbWg0KhwAc+8AH82q/9Gux2e5kjTxvjF154AV/72tfqOvosQqFQ4D3veQ8effRRdHR0lNXZkE2ef/55fOELX6iqjMS2Oq8ULWxra0NXVxdcLleZQLZYLS62d6x3UAW5w+HgqgsAeLSENDltNht3bCt/6g1ihXkmk0E8HueNGWihbmtrK+OFVkZb62kRWkkwvrJojWSBTCYTtFotbx1LElnUDKMe7FJpD4q4Wa1W/hyZzWYu/ZTNZhEKhTA5OYnZ2VnEYjGk0+m6idATZ16lUkGn03H+s3j98XgcjDF+7RRtrPVOUsSFp4LGjo4ONDY2ore3Fz09PZznCoDTkaampjA7O4v5+XmeDr2ZNsnVmvFqaGjAnj170NTUhL6+PrhcrhsyliSZd/78eQwODmJ0dLRuq+oVCgXuvfdedHd3Y2BgACaTiY8JwsjICKanpzE8PMyVJ+oZCoUCx48fR3d3Nw4dOsTHiOhPXL58GePj4xgZGam6hh3b6rwS1/XAgQM4duwYOjo6oNVqy6Q6RHIwRRbrGcThNJlMaG1tRW9vLywWCwDwxSUQCCAUCqGnpwcmk6nubVIpvh6Px7kuJXEcl5aW0NHRgTvvvJOnTMX31otTIqLyemgioZS3yWRCS0sLF+On11KpFGZmZhCJRKpuAroVkANLUWiLxYKmpia0t7eju7sbTqcTGo0GyWQSyWQSk5OTOHPmDEZHRzE3N8f1dGttnFRuWOl3UhYwmUyw2Wy8qUehUOBcznA4jNnZWUSjUa5pShHHWo3IE22IGt3ccccdaG9vx5EjR9Db28s7a1Ex2tTUFM6ePYuhoSFMTU0hEokglUrV5FhYDQqFAg899BDuvvtuHD16FO3t7TekggOBAKanp/Hss8/iX/7lX/jmth6hUqnwm7/5m3j88ce5LJwISZLw8ssv49lnn8WVK1e4gkc9Q6VS4ROf+ATe97738YJ5cYwUi0W88MIL+M53vgOv11t1Y2Pb28NSqk/UDqPdHsn4hEIhRKNR9Pf3Y/fu3TyMTYUI1WbEWwVNmJT6zGQyKBQKmJmZ4VIuwWAQarUara2tPFpNXDeyaT1BjCpScQUt2nTNVEEt8oJpjNXTQrQRULq0ubkZZrOZ004KhQKSySTvHlSPTj11FrNarXC73bDZbGVR11QqhUAgwGkC8Xi8TMezFu1BjjtwPfKo1WphMBh4W0uiUeTzeZ69oQ52lCanjSA9L5WbwGqGuHEh+hTJgVksFq7/S5v9bDaLRCLBGxMQ75c2MTezqatGOxHnt6WlhVMFRKeEIu2jo6O4cOECvF5v3XbQUigUOHbsGDo7O9HV1cWDZeI4pyCR3++H1+tFIpHY4bO+vVCpVDh69Ci6urq4DCVQXhRO/O9IJIL5+fmq1NbfVue1Uo9T7PxD7eguXryIixcvYnh4GL/xG7/BhZRVKhWWlpZ4v+l6ATlbJHWjVqsRiUSQTqfx2muv4cKFC5ibm+MVxfv27eOt64jPRjat1hTWzYJsQylO0VFljJUtPHQ8OWz1mv5aCbR4NzU1Yf/+/WhqauKbvYWFBYRCIQwPDyMYDNaVTch5oZbB1DmIqsp1Oh0WFxcRCARw+fJlDA8PY2RkpEznthafF9HJFOkCJpOJd5Byu91coYPmTOJGRyIRBINBristRqCpiUOt2KXy+u12O++gRcW9FGWLxWKYmZnB5OQkRkZGMDMzg3A4XNOUiUpQRzWn04n9+/dzkXkR8XgckUgEv/jFL/Dss89yOahaueebgUajwSc/+Uk89thjPJNbGeiJRCIIh8MYGRnBpUuX6mYsrISGhgbodDr8/u//Ph577DFe7F0Japvt8/kwNTVVlWNj2wu2JElCOp1GOBzm1c9+vx+RSATDw8O4cuUK/H4/r4omuSCVSnWDs1YvIKc+Go3yjj+JRAJer5cXE5BDJlYDi5HXemjnWAnRsSdxeeJCUyRBnIwKhUJZtXC9RaNXA/EcKepGXC7qIpVMJpFOp2s2LbwaiBNPIvR2ux02m41HHWnjE41GEQgEuAh9rdIFCJURV2rgQdq+VC1MtBuKNFEHP9r00fxK+q9i2rAW5hIx8iq2Q6bOYiQ1SOoL8/PzmJiY4JGkWt7ArASDwQCdTofDhw+jq6sLHo/nBmdNkiTEYjHMzc3xNbgW2kSvB7GbYDabBWMMd911F9rb29HR0QGdTrdqwx+K2FNr5XqBRqPB0aNHYbVaMT09jVwuh46ODrhcLrS3t69Z6E3zyXqNozYKyozQGr0Vdt4R59Xv92N0dBQdHR0wm804e/Ysrl69ildeeQWDg4O8pSHpE1JKTIy81lOUkbQWx8bGoNFoMDMzg2AwiJGREXi9Xr44FYvFsigBDQRyXsnBqxfQwlJZ+UhtH6mnPY0F6lW/sLDwjnBcxcijzWaDw+GAy+WCXq+HJElIpVK8KCUajda07m0lSN9Wo9HA4/GgpaUFHR0d6Ojo4LquxOecmprCpUuXMDk5iXA4XPPOK1AecTSbzTAYDLDZbGVtpUnXlq6TJJFEWSja7JGzTzSCWppfVSoVp1LR82CxWLgzQmvG0NAQXn75ZUxMTPCWwPXCAW9oaEBjYyPcbjc+/vGP45577oHBYCibBylI4vV6cfHiRYyPjyMUCtWFNFhDQwNXW/H5fFAqlfjUpz6Fhx56aNWIK8FisfAWwhSlvtV1tBroN2azGX/0R3+EgwcP4nvf+x78fj8+8IEPoLe39wZt25XeazAYYDQatyQbo9Vq4fF4kM1m4ff7a9N5BcB3fpOTk1Cr1ZicnITX6+VcNJfLxblrohpBZWStXkDRxVAoxKVbqCK4UCjwhclisfAKYvHhqIfJdyWIvFfxb9SYgKqqKdJIkfla7g50M9BqtXxs0CRN7YYTiQTvQFUvGxvaqJFKB/EcdTodd1hIpSMSiSASiSAajfLnqVbav64H2ryImQjaCCsUijKt12KxyDVdSUpLHBNKpZI7rbWy8aN7KGpiizUAlZq2gUCAtxen66/1MUBQKpXo7+9Hb28v1wqvpAvQ/EgZvnQ6XTdrhyRJfNxT5XxLSwsMBgOAtbNwFLnftWsXHnjgAfh8PszNzSGTyay54acI/+LiYlUGBhhjUKvVMBgM6Onpgc1mg91u35A0KWU0BgYG8Nhjj3Ed6OnpaXi93huOpyJRm82GpqYm+Hw+XL58uUxBiopC6bNvdextu/NaLBYxOTmJSCSCfD6P4eFhXLt2rYwo3dXVhTvvvBO7du2CxWIpm5ip8KBeJh2g1A61WCxiaGgI09PTvL82RYiIy9jb2wuXy8U5XMTxrIeFeCWs5JiTOoPdbueSSCQBk8/neXvHWhdb3whoEqC+7Tabjad5qA2q1+tFOBzmNqkHKJVKKJVK3lGtqakJra2tsFqtvH1uIpHAzMwMpqamMDIygomJCb45JqelVp8ZUR6MIrAajYYvokTNItUWSptTtJWcWZpXiQdHf6s155XsQZQIeu6JMjM6OorZ2VmcP38ew8PDvClDPUkhaTQaPPHEE7j//vvhcDhukIECwJu+jI6O4uzZszwCVqvPgQgq+LbZbPjzP/9z3H333XA6nQDWp4/RZviDH/wgHnnkEXzve9/Dc889h6mpKUxNTd1wPD13VCAbjUZvcOjEZ1T8/3aC/AOFQoFTp04BwKZoAIwxfPjDH8YTTzzBM3jf+MY38M1vfrPsGMYYOjo6cOzYMRw9ehSPP/44/uEf/gG/93u/x9ccKoij+oytaAqzI5FXEswmof2WlhYYjUZ+QQcOHMDu3bvhcrnKJtN0Og2/349kMrkTp33bQE4acVq1Wi1PfRmNRuzduxd9fX1obGy8odAtFotxYe16mITWAknitLS0cE4XddsCSuOqXjhcG4FCoeBpY5fLxdOElP6lyCs5NPVgDzFdLlbWU/92Udc0lUqVVZTfjI5nNUKMjpL6xsLCAs/I0P0XmxTQMeSwUcSSqEaiUkct2UfUgyZOL3XOIkmkUCjE1w2x+9hKmZ1bgdj1Tjy37YDI/6101uga6XmIRqOIxWJ1x4En/4HmCGBzdQ9arRaSJKG1tRUDAwMwGAycR07NHci+DQ0NMBgMsNvtmJqa4tF8CqxVwzOUz+dx9uxZLC0t4fDhw3A4HJv+DKJmORwONDQ04MCBA3jooYf46zTuurq6MDAwgK6uLpjNZnR3d+PBBx/kNMdQKISrV6/y+1OztIF8Po9sNgur1Yru7m6cOHECdrsdjY2NsNls0Gg03CkRJT5mZ2fx2muvYWJioioGx1aBJjnaibS0tMDlcuH+++/HnXfeCbfbzXfToj5dJBLBtWvXEAgEam7R2QxosjCbzTAajTh58iQeeeQR9Pb2lnWMSSQS8Pl8iEQidVWIUQmyB1En2trasG/fPng8HiiVSh6BC4fD8Pl8iMVidTE+aOGgzZ3H40FzczOam5vhdrs5d21paamMmhQIBJBMJusmIk92oIWZZI4WFxe5w0bzpiRJnGpFx4iOjngcHVMrzw6dIymRxGIxAMC1a9eQy+VgtVqh0+kwNDSEsbExzM3N8Wj07Sj8bWho4K29SapuO6r46R4mk0mEw2EuEUYgZ316ehpTU1MYHx/HzMwMT3XXEr95PdA4CAaD0Ov10Gg0G3ZgKSp59OhRdHd3Y25uDnNzc9i1axf6+/t5xoc+jzZMP//5z7kEm8/n45spYGc5r4lEAp/5zGfgdDrxrW99CydOnLjpz7Lb7bBarfj4xz+Oj33sYwDKNwZUh0I/p06dwl133YWFhQUkk0n85Cc/wR/8wR/wFtRbgR1xXikaQA9be3s7HA4H50xUiuUCpUEQj8d50UU9QeSFUHMGh8MBp9MJl8vFF+XKqtFoNIpr164hGAxWzW7vdoDGg8FggNPp5JQBsgk5/6lUCn6/nzc1qHUnZTXQ4qhSqbgDS1Xm5ITQBpGctnoYH8TvFAv29Ho99Ho97wxDmqaZTIZHmDKZTBkPuh5sQaD7TYWMxAkXO84Rv5N+aPxU8luJvlRrtqF5M5fLcfWaYrEIq9UKo9GIUChU1kXrdvGeKXItcnC3C4VCASMjI9DpdJiZmeFyikqlklMkRkdH4ff7EQgE+Iamnp4FoGRzr9cLm80GhUIBu93OlQQqg2F03TRHkiJJJBJBPB7nP1arFU6nE3q9HkajkUf2KYM8OTmJdDpddRk/irarVCpORay0wXqgjQ8p1lgsFt7lU8TMzAzGx8fLvpvmnkwmA5/Pt+XPw444rySSfOnSJYTDYfT09MDtdsNgMKxYFUgp9dHRUfzrv/5r3aU76EZTYY3D4cDAwADa29t5l6DKzhfFYhGXLl3C3/3d3yEajdatowaAp4nb2trQ19eHvr4+tLS08KgrLcrT09N47bXXMDY2VjdVxJWglBhJRFHLYKvVCrVazRU5EokE76BD46NaJtWbBY0DSmWRPBZt9HK5XFlTj9HRUYyOjiIUCvGIW61EFdeCuNml4jRaKMipVyqVZddMx4rOlUgTENPvtQS6bmr7mkwmEQqFoFQqYbfbYTAYOP83Go2WUQe2GlQUV3l+txtUrPTUU09xapVSqYTH44HBYMDc3By/bpKPqwfFjZWQy+Xw7LPP4vTp0zh58iTa2tpw4MABuN1uzokXn59isYgrV65gdHQUL774Ik6fPs1VOYiO1N7ejs7OTt704ZVXXsEzzzzDnxvKdFVrwESSJCSTSUSjUZjNZh6NXisiTdeWTCaRSqXw9ttvY2hoCMePH8c999wDoDzy+txzz+E//+f/vOL1E41pq/22HXFegettK6PRKF9wqBiJSL2EcDiMQCCAubk5PkjqEVQtm06neZU4dcUhp56iS7lcDvF4vO4kkCqx0uRKi674Qym6UCiEVCpVd5NyJSjtS12UiE5CDgjtmOtJF5meA6ryJfqAQqFAoVBANpvlCgOhUIhHXfP5fFlEpF7GhsgfowgsgSgA5LBURhqJG1sP0Wg6b7p+0oVmjPFoK0XJbnfzkp2yYbFYRDKZLKODSJIEvV7P50Q6PzHyXG+gNuLFYhEjIyNIJpMoFAqw2+0wmUzQarVob2+HzWaD1+tFKBTiMnpTU1OYn5/nUnLkcJGQfzabRTabxcTEBEKh0E5f6oaxtLSEK1euQKPRwGg0ch9L5M339PTA6XTydcPr9XK9+Uwmw6k3JpNpRW71lStXEAqFtnVM7ZjzCgDBYBDxeBwvvfQSEokE7r33Xhw4cAA6nY5XkAPAG2+8gWeeeQaXL1+um4V4JVAaZ2RkBNlsFkajESaTCR6PB06nk6dMQ6EQ5ubmOL+zXp15AomoU1QlHo8jnU7ztqDkzAcCAQwNDdVtt5hKiE4cNfEQdTzpp9aiaZUQq+pVKhWsViscDgc8Hg+ampoAlOT3fD4fgsEgpqenMTc3x1OAYpSpHsZFZeQVAJeGIkma1ZxSkd9YL/YArkcfgesc0HQ6fYOTXo9zpTgeCIwxzM7Orhhlr2cUi0X4fD7Mzs5ibGyMF7WK8nqf/vSn8fDDD+OrX/0qnn/+eR6RryzqJPoR1ZbQ+ltrmd90Oo3Pf/7z3A5AedRUpVLhi1/8Ih5//HEkk0kkEgl84QtfwDPPPMPHDG0Af/CDH6zYlWsn1twddV7JWfP7/RgbG4PNZkOxWIROpysjnA8NDXF5rXoGTTDJZBLBYBDj4+Mwm83w+/282k+hUGB+fp5HouvZmSdQtIC6JU1OTuLSpUswmUwwm81cVkyUGatXiFXh5LRTsQC9RpHHQCDA+W61vGiJeqYkSE+FSQC4XmU4HMb8/DwikQjXSSa+Zz05r0D5OCCHVOR/iy2T6d9Kx7XeQNe00rXX4/WuBRoHwPXn551iA6LJrNRGXqlUYnh4GG63G+Pj41zvdiXZNPEZq+WW9JIk8WLGlaBSqTA0NISOjg6uzjI5OQm/33/Dsel0+jae6ebANjOgGWO3ZfRrNBrOZSOvXvTsKVxPabDbCUmSNqytcbvsQZxGEuCnHR+BHk4SHb/NeEuSpCMbOfB22WP5s8vsQjxg0oyjnTJRBm7jRL3j9qDng5o09Pf3o6+vD83NzfB4PLh69SouXbrENzgkIXSbcNvtQfedOIykd9zZ2QmHw8Ejrj6fD4FAAPF4nKcLKQ0mcj5vM3Z8fFQZZHuUQ7ZHObbdHlarFVqttlqLWTdsD2DrbGK327nWs7RcHF8tdMTVfLIdjbwSSH+QeDnvdBBnsZ5EtG8VYuriNjpiNQGxUAAopcxnZ2extLSETCbD0+aJRAK5XK7mo/OVBUWZTIZnJ/L5PPx+P8LhMC/YoWizmCqux3SxDBkyNo+1opDvVNRiVrsqnFcZMmRsHuTMj4yMYGpqikeiqf1nvRRm0HWEw2FEo1GEw2GeqaGqerFAqTJDU+vXL0OGDBkyyiE7rzJk1CjIKSOpoHrnM4rpf6JCUI9ssSClHhx2GTJkyJCxOjbrvIYA3Njst37Qscnj690ewOZsItujHNtijx3mbG27PSiqWqWFeVU3PnYYsj3KIdujHLI9yiH7IOVY1R6bKtiSIUOGDBkyZMiQIWMnsfE+YTJkyJAhQ4YMGTJk7DBk51WGDBkyZMiQIUNGzUB2XmXIkCFDhgwZMmTUDGTnVYYMGTJkyJAhQ0bNQHZeZciQIUOGDBkyZNQMZOdVhgwZMmTIkCFDRs1Adl5lyJAhQ4YMGTJk1Axk51WGDBkyZMiQIUNGzUB2XmXIkCFDhgwZMmTUDP5/VGXHRJjoOWgAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] @@ -1471,28 +1464,6 @@ "traverse(model=model, ds=ds_train)" ] }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-16T07:41:43.835680Z", - "start_time": "2020-10-16T07:41:43.832104Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ERROR:root:No traceback has been produced, nothing to debug.\n" - ] - } - ], - "source": [ - "%debug" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1545,11 +1516,11 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:43.919765Z", - "start_time": "2020-10-16T07:41:43.838666Z" + "end_time": "2020-10-16T23:42:50.451905Z", + "start_time": "2020-10-16T23:42:50.344304Z" }, "lines_to_next_cell": 0 }, @@ -1598,11 +1569,11 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:43.974415Z", - "start_time": "2020-10-16T07:41:43.921524Z" + "end_time": "2020-10-16T23:42:50.460806Z", + "start_time": "2020-10-16T23:42:50.456960Z" } }, "outputs": [], @@ -1634,11 +1605,11 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:44.040786Z", - "start_time": "2020-10-16T07:41:43.975679Z" + "end_time": "2020-10-16T23:42:50.476762Z", + "start_time": "2020-10-16T23:42:50.463304Z" } }, "outputs": [ @@ -1660,7 +1631,7 @@ ")" ] }, - "execution_count": 25, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1673,11 +1644,11 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:44.106773Z", - "start_time": "2020-10-16T07:41:44.042018Z" + "end_time": "2020-10-16T23:42:50.511956Z", + "start_time": "2020-10-16T23:42:50.478636Z" } }, "outputs": [ @@ -1710,7 +1681,7 @@ "1" ] }, - "execution_count": 26, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1749,11 +1720,11 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:44.127328Z", - "start_time": "2020-10-16T07:41:44.108140Z" + "end_time": "2020-10-16T23:42:50.519116Z", + "start_time": "2020-10-16T23:42:50.514304Z" } }, "outputs": [], @@ -1770,11 +1741,11 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:44.340059Z", - "start_time": "2020-10-16T07:41:44.128805Z" + "end_time": "2020-10-16T23:42:50.901057Z", + "start_time": "2020-10-16T23:42:50.521346Z" } }, "outputs": [ @@ -1782,13 +1753,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "/anaconda/envs/py37_pytorch/lib/python3.7/site-packages/torch/distributions/distribution.py:134: UserWarning: sample_n will be deprecated. Use .sample((n,)) instead\n", + "/home/wassname/anaconda/envs/deep_ml_curriculum/lib/python3.7/site-packages/torch/distributions/distribution.py:134: UserWarning: sample_n will be deprecated. Use .sample((n,)) instead\n", " warnings.warn('sample_n will be deprecated. Use .sample((n,)) instead', UserWarning)\n" ] }, { "data": { - "image/png": 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\n", 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mMEgOV1dWV9tnqKb39ohzq7q6zjURuVpEgn+B/xpXVbUe11Ltz977FGhZmY27lhvKeGCp9/3yIHCld31oA+6a3E9w1ewLOVwaqs/xuwaXFJbhqhJfwauWjebn00tO5+MaDgSEda4mbIeSUm3sjFjH0xAi8inwQ43iDZCRIiJPAC+r6ruxjiWWROQL4AZV/TpoWj5wuqrmxyquxhB3G8AQVb091rHUl4iMA37gVXElLBH5Ia667n+Cph11roZcN1GTijHxqqknFZPYmkT1lzEJ5gHCaw1mTNyxkooxxpiIiaueMRurQ4cOmpubG+swjDGmyZg/f36RqnaM1PZ8TSriOml7EEgGnqjpPgAROQHX2uIKVX2lPusGy83NZd68BvfmYowxCUdE1te9VPh8u6Yiro+ph3DdDgwBJonIkBqWuw/XJLRe6xpjjIkvfl6oHw3kef0RHcR1WDcxxHI/BF7F3T1f33WNMcbEET+TSjeOvPmsgCP7yQr0FnsprtuCeq0btI0bxXVFPa+wsLDRQRtjjGk4P6+phOrbpnpTswdwPZZWypH9RYazrpuo+hhulDJGjRplTdmMMVFXXl5OQUEBZWVlsQ6lRunp6XTv3p3U1FRf9+NnUinAdcUR0B3XNUOwUcBUL6F0AM4XkYow1zXGmLhQUFBARkYGubm5SKM7VI88VaW4uJiCggJ69+7t6778rP6aC/T3OrlLw40JMD14AVXtraq5qpqL6+PmFlV9PZx1jTEmXpSVlZGdnR2XCQVARMjOzo5KScq3koqqVng9X76Laxb8lKouFZGbvPnVr6PUua5fsRpjTGPFa0IJiFZ8vt6noqozcF1hB08LmUxU9dq61jUm6iorICkZ4vwLw5h40azuqDem0fYWwdJpsGEOFHwJJRugTQ6cegec8F1LLsbUwZKKMQHLpsO0m6B8L7TtBt1HwXGTYP3nMOMOqKqEE2+KdZTGxDVLKsYAbJoPr1wHXYfDxf+ATkEDK1ZVwdRJ8P6vYMC5kNUndnEaU4P8/HzGjx/PmDFj+OqrrxgwYADPPvssrVq1imocllSMqaqC6be5aq6rXoJWWUfOT0qCix6EB4+HT/4Mlz4SkzBN0/C/by5l2ebdEd3mkK5t+fVFdQ9Vv3LlSp588knGjh3L9ddfz8MPP8wdd9wR0VjqYuOpGLN8Omz7Gs6+5+iEEpCRAyfcAIunwq6CqIZnTLh69OjB2LFjAZg8eTKffvpp1GOwkooxcx6BrL5w7DdqX27092D2Q7DgOTjjZ9GJzTQ54ZQo/FK92XAsmjlbScUktu3LYeMcGHWdazpcm/a50PdM+Op5sMHtTBzasGEDs2fPBuDFF19k3LhxUY/BkopJbItfAkl2rbzCMfRy2F0Amxb4G5cxDTB48GCeeeYZhg0bxo4dO7j55pujHoNVf5nEpequp/Q+BVp3CG+dgRMgKQWWvwHdR/obnzH1lJSUxJQpNXZWEp0YYrp3Y2KpcCUU58Hgi8Jfp2V76H2qu6fFqsCMOYolFZO4lr/pHgdeUL/1Bl8MO9e5FmPGxInc3Fy+/jr256QlFZO4VrwJ3UdD2y71W2/QhSBJsPwtf+IypgmzpGIS065NsGURDL6w/uu26ejuvF/7ccTDMqaps6RiEtO6me6x71kNW7/3qbBpHhzYE7mYjGkGLKmYxLRuJrTMgk5DGrZ+71OhqsL1ZmyMOcSSiklM62ZC7jjXr1dD9DgRklJh3SeRjcuYJs6Sikk8uze7Gxh7ndzwbaS1gh6jD1ejGWMAn5OKiIwXkZUikicid4WYP1FEFovIQhGZJyLjgubli8iSwDw/4zQJpsA7nbqf0Ljt9D7VXezfv7PxMRnTSL/73e8YOHAgZ599NpMmTeIvf/lLTOLw7Y56EUkGHgLOAQqAuSIyXVWXBS32ITBdVVVEhgEvAYOC5p+hqkV+xWgSVMFcSE6DnKGN207uOEBh45cw4LyIhGaagXfugq1LIrvNnKEw4Y81zp4/fz5Tp07lq6++oqKighEjRjByZGx6fPCzpDIayFPVtap6EJgKTAxeQFX3qB66Lbk1YLcoG/9tWuA+pCktGredLse7+1UKrCBtYmvWrFlceumltGrVirZt23LxxRfHLBY/+/7qBmwMel0AjKm+kIhcCvwB6AQE39qswHsiosCjqvqYj7GaRKEK25bAsZc1flst2rjWY5ssqZggtZQo/BSLbu5D8bOkEuo/PKokoqrTVHUQcAlwb9Cssao6ApgA/EBETg25E5Ebvesx8woLCyMQtmnWdm+Csl3QOUJjXnQb6YYitn7ATAydeuqpTJs2jf3791NaWsqbb74Zs1j8TCoFQI+g192BzTUtrKozgb4i0sF7vdl73A5Mw1WnhVrvMVUdpaqjOnbsGKnYTXO1bal77HxsZLbXbaRLUsVrIrM9YxpgxIgRXHHFFRx//PFcdtllnHLKKTGLxc+kMhfoLyK9RSQNuBKYHryAiPQTr8wmIiOANKBYRFqLSIY3vTVwLhD7ntJM0xe4gNppcGS2132Ue7QqMBNjv/jFL1i5ciXvvfcePXv2jFkcvl1TUdUKEbkVeBdIBp5S1aUicpM3fwpwGXCNiJQD+4ErvJZgnYFpXr5JAV5Q1f/zK1aTQLYvh3Y9IL1dZLbXcRCktXEX64+7MjLbNKYJ83WQLlWdAcyoNm1K0PP7gPtCrLcWOM7P2EyCKl4NHfpHbntJya5zSSupmDhyzz33xGzfdke9SRyq7tpHhwGR3W7X4921msryyG7XNCka5401ohWfJRWTOEq3wME9kN0vstvNOQ4qD0LRqshu1zQZ6enpFBcXx21iUVWKi4tJT0/3fV82Rr1JHEWr3WMkq7/g8J35W5dErqmyaVK6d+9OQUEB8XxbQ3p6Ot27d/d9P5ZUTOIoznOP2RFOKtn9ICXdJRW7WJ+QUlNT6d27d6zDiAtW/WUSx8517ss/o57DB9clOcXdWb91cWS3a0wTZEnFJI6d+ZDZs+FjqNQmZ6grqcRpnbox0WJJxSSOneshs5c/284Z6rrA31Xgz/aNaSIsqZjEUbIe2uf6s+0u3m1Vke7y3JgmxpKKSQz7d7o+utr7VFLpNAQQSyom4VlSMYlh53r36Ff1V4s2kN3XLtabhGdJxSSGnfnu0a/qLzh8sd6YBGZJxSSGEq+k4lf1F7ikUrIe9pf4tw9j4pwlFZMYdq6H9MzI9U4cSs4w9xgYs8WYBGRJxSSGnfn+Vn3Bkd21GJOgLKmYxFCy3t+qL4A2naF1R0sqJqFZUjHNX1UVlGzwr+VXgIh3sd5agJnEZUnFNH+lW1zX9H5Xf4FLKoUroOKg//syJg5ZUjHNXzRafgXkDPPGVlnp/76MiUO+JhURGS8iK0UkT0TuCjF/oogsFpGFIjJPRMaFu64xYTt042Ou//vqfKx7tBZgJkH5llREJBl4CJgADAEmiciQaot9CBynqscD1wNP1GNdY8KzMx8QyOzh/76y+0JyGmxf5v++jIlDfpZURgN5qrpWVQ8CU4GJwQuo6h49PP5ma0DDXdeYsJWsh7ZdIaWF//tKToUOA2CbJRWTmPxMKt2AjUGvC7xpRxCRS0VkBfA2rrQS9rre+jd6VWfz4nkoTxNDO/P9b/kVrNMQK6mYhOVnUpEQ044awUhVp6nqIOAS4N76rOut/5iqjlLVUR07dmxorKY52+ljl/ehdB4CuzdZdy0mIfmZVAqA4Ers7sDmmhZW1ZlAXxHpUN91jalReZlrUhyNll8BnY5xj9uXR2+fxsQJP5PKXKC/iPQWkTTgSmB68AIi0k9ExHs+AkgDisNZ15iwlGwAFNr3jt4+Ow12j9utBZhJPCl+bVhVK0TkVuBdIBl4SlWXishN3vwpwGXANSJSDuwHrvAu3Idc169YTTO2c517zIpiUmnXHVq0s5KKSUi+JRUAVZ0BzKg2bUrQ8/uA+8Jd15h62+EllWheUxFxpRVrAWYSkN1Rb5q3nfmQ2tp19BhNnQa7FmAasn2JMc2WJRXTvO1c50opEqpBoY86DICyEthXHN39GhNjllRM87YzP7rXUwI69HePRaujv29jYsiSimm+qqqiMzhXKNn93GOxJRWTWCypmOZrzzaoKItNUsnsCcktrKRiEo4lFdN8xaI5cUBSMmT1geI10d+3MTFkScU0Xzvz3WM0b3wMlt3Xqr9MwrGkYpqvHetAkqBdFLq8D6VDfxdDZUVs9m9MDFhSMc3XznXu7vaUtNjsP7s/VJUfHnnSmARgScU0X0WrD7fCioVAs+LivNjFYEyUWVIxzZOqSyodBsQuhkBCsxZgJoFYUjHN0+7NUL73cGkhFlplQcssu1hvEoolFdM8Bb7Is2OYVMA1Zw60QjMmAVhSMc1ToMopltVf4IYx3mkX6k3isKRimqeiVZCWARk5sY2jfS/YVQBVlbGNw5gosaRimqei1dChX/R7J66ufa5rVrzbRsM2icGSimmeYt3yKyCzl3u06yomQVhSMc3Pwb2wuyC2Lb8C2ntJxW6ANAnC16QiIuNFZKWI5InIXSHmXy0ii72/z0XkuKB5+SKyREQWisg8P+M0zUzgZsNYt/wC10WMJNnFepMwfBujXkSSgYeAc4ACYK6ITFfV4IG71wGnqepOEZkAPAaMCZp/hqoW+RWjaabipeUXQHIqtO1mJRWTMPwsqYwG8lR1raoeBKYCE4MXUNXPVXWn93IO0N3HeEyiKFrlSgdZfWIdiWPNik0C8TOpdAM2Br0u8KbV5AbgnaDXCrwnIvNF5MaaVhKRG0VknojMKywsbFTAppkoWu0GyUpNj3UkTvtcu1BvEoZv1V9AqLacGnJBkTNwSWVc0OSxqrpZRDoB74vIClWdedQGVR/DVZsxatSokNs3CSZeWn4FtO8Fe7ZC+X5IbRnraIzxlZ8llQIgeCCL7sBRjfVFZBjwBDBRVYsD01V1s/e4HZiGq04zpnZVVe5CfTwllUCz4pKNtS9nTDPgZ1KZC/QXkd4ikgZcCUwPXkBEegKvAd9W1VVB01uLSEbgOXAu8LWPsZrmYncBVOyPbZf31VmzYpNAfKv+UtUKEbkVeBdIBp5S1aUicpM3fwrwKyAbeFjcnc8VqjoK6AxM86alAC+o6v/5FatpRoq83yZxWVKxpGKaPz+vqaCqM4AZ1aZNCXr+XeC7IdZbCxxXfboxdYqn5sQBbTpDchqUbIh1JMb4zu6oN81L0WpIbwetO8Q6ksOSktywxnZNxSQASyqmeSla5Uopse5IsrrMnlZSMQnBkoppXuKtOXGAJRWTIMJKKiLyqohcICKWhEz8Ktvt7geJp5ZfAZk9Ye92d6+KMc1YuEniEeAqYLWI/FFEBvkYkzENUxyHF+kD7F4VkyDCSiqq+oGqXg2MAPJxd7h/LiLXiUiqnwEaE7Z4bPkV0M67D9iqwEwzF3Z1lohkA9fimgB/BTyISzLv+xKZMfVVtBok2fW1FW8ye7rHXZZUTPMW1n0qIvIaMAh4DrhIVbd4s/5jY52YuFG0CrJ6Q0parCM5WkYOJKVaScU0e+He/PiEdyPjISLSQlUPeHfAGxN78dryCyAp2btXxZKKad7Crf76bYhpsyMZiDGNUlUJO9bEZ8uvAGtWbBJArSUVEcnBjYHSUkSGc7g7+7ZAK59jMyZ8Jeuh8mD8llQAMnvAarsEaZq3uqq/zsNdnO8O3B80vRT4uU8xGVN/8dzyKyCzF+zZBuVl8TOAmDERVmtSUdVngGdE5DJVfTVKMRlTf4eSSv/YxlGbQy3ACqBDHFfTGdMIdVV/TVbV54FcEflx9fmqen+I1YyJvqJV0CobWmXFOpKaBZJKyXpLKqbZqqv6q7X32MbvQIxplHhu+RVwKKnYxXrTfNVV/fWo9/i/0QnHmAYqXg0Dxsc6itpldIGkFEsqplkLt0PJP4lIWxFJFZEPRaRIRCb7HZwxYdm3A/YWxn9JJSkZ2nazpGKatXDvUzlXVXcDFwIFwADgTt+iMqY+ivPcY7wnFbB7VUyzF25SCXQaeT7woqruCGclERkvIitFJE9E7gox/2oRWez9fS4ix4W7rjGHNIWWXwGZvWCX9VRsmq9wk8qbIrICGAV8KCIdgbLaVhCRZOAhYAIwBJgkIkOqLbYOOE1VhwH3Ao/VY11jnKJVrl+tQPfy8SyzJ5RugYoDsY7EGF+E2/X9XcBJwChVLQf2AhPrWG00kKeqa1X1IDC1+jqq+rmq7vRezsHdZBnWusYcUrQasvtCcrhd2cVGRWUVu9O7ALC/KD+2wRjjk/p8Cgfj7lcJXufZWpbvBgSX8wuAMbUsfwPwTn3XFZEbgRsBevbsWcvmTbNVHH/NiSurlGWbd/PZmiIWbihhTeEe8ov3MqJqO/9pAd/7+zRWtR7FyX2zuXBYV84Y1InkJKl7w8bEuXC7vn8O6AssBCq9yUrtSSXUJ0Rr2P4ZuKQyrr7rqupjeNVmo0aNCrmMacYqy2HHWhh0YawjoapKmb22mFfnF/Dhiu3s2l8OQG52K/p3zuDMwZ0Y2CITZsINxybxelI2s1YX8frCzfTKbsUd5w7kwmFdELHkYpqucEsqo4AhqlqfL+0CoEfQ6+7A5uoLicgw4AlggqoW12ddY9iZD1UVMS2plJaV8+zs9bzwxQY2lewno0UK5x6Twyn9O3By32w6tQ3q56uyAmYlc0bnMs44azjllVW8t3Qb//wojx+++BUvfLGBv37rOLpmtozZ/2NMY4SbVL4GcoAtdS0YZC7QX0R6A5uAK3Hj3B8iIj2B14Bvq+qq+qxrDBDTll9VVcrUuRv507srKNlXzin9O/DTCYM4d0hn0lOTQ6+UnALtuh0aqz41OYkLhnVh/LE5/GfuRn739jLGPzCT3106lIuO6xrF/8aYyAg3qXQAlonIl8ChZiuqenFNK6hqhYjcCrwLJANPqepSEbnJmz8F+BWQDTzsFfkrVHVUTevW/98zzV6R91skyuOobC7Zz+1TF/Jl/g7G9M7iFxcMZlj3zPBWzux11L0qyUnCVWN6MrZfNrf/ZyE/fPErZq0u5N5LjqVFSg0Jypg4FG5SuachG/dGi5xRbdqUoOffxY15H9a6xhylaDW06QwtM6O2y8/yirjl3wuoqKziz5cP4/KR3et3HSSzJ6z5KOSsXtmtefn7J/Hgh6v5x3/zWFe0lymTR5LdpkWEojfGX+E2Kf4EyAdSvedzgQU+xmVMeIpXQ3b0qr5enreR7zz1JTlt03n7tlP45qge9b+w3q5HrfeqpCQn8ZNzB/LPq4azuGAXEx/6jFXbSiMQvTH+C7fvr+8BrwCPepO6Aa/7FJMx4VGFwpVRu57y3Jz13PnKYk7sk83LN59EbofWda8USmZPQN24KrW4cFhX/vP9kzhQUcU3p8xmcUFJw/ZnTBSFe0f9D4CxwG4AVV0NdPIrKGPCsq8Yykqi0vLrpbkb+eXrX3PWoE48ee0o2qan1r1STerRBf7xPTJ57eaTyUhP4erHv2BJwa6G79eYKAg3qRzw7mwHwLsB0u4JMbEVpZZf/12xjZ9NW8Ip/TvwyOSRjb9wfmgEyPD6AOuR1YqXvn8SbVumct3TX7K+eG/j9m+Mj8JNKp+IyM+BliJyDvAy8KZ/YRkThkDLLx+TSt72Pfzwha8Y0qUtUyaPJC0l3I9MLdp2A0l299iEqWtmS569YTQVVcp1/5pLaVl54+MwxgfhfkLuAgqBJcD3ca2y7vYrKGPCUrQKUtLdhW8f7D1Qwc3Pzyc9NZnHrhlJ6xYR6lssOcWVVnasrddqfTu2YcrkkazfsY+7XltC/e5FNiY6wm39VYW7MH+Lql6uqo/X8+56YyKvOA+y+rrBryJMVfnZa0tYU7iHv08aTpd2Eb7DPbsvFK+p92on9snmzvMG8vbiLUyda13om/hTa1IR5x4RKQJWACtFpFBEfhWd8IypRdEq36q+npuznumLNvOTcwcytl+HyO8gq68rqTTgt9mNp/Th5L7Z/O7t5Wwu2R/52IxphLpKKrfjWn2doKrZqpqF6y14rIj8yO/gjKlRxQF3TcKHpLJ6Wym/fWs5Zw7qxM2n9Y349gHXA8DBPbBne71XTUoS/viNYVRWKXe//rVVg5m4UldSuQaYpKrrAhNUdS0w2ZtnTGwU54FWQcdBEd1sRWUVd7y8iNYtkvnT5cNI8qs7+uw+7jEwFHI99cxuxU/OHcB/V2zn45WFEQzMmMapK6mkqmpR9YmqWsjhIYaNib7ty91jhJPKY7PWsqhgF7+ZeCwd/OwaJcsrAe2o/3WVgGtOyqVPh9bc+/YyyiurIhSYMY1TV1I52MB5xvircAVIUkQ7kly1rZQH3l/NhGNzuHBYl4htN6R2PdwQyA24WB+QlpLELy4YzNrCvbz4Zd03UhoTDXUlleNEZHeIv1JgaDQCNCakwhWQ1QdS0+teNgyVVcqdXrXXvZcc6/9AWckp0D63USUVgDMHdeKE3PY8/NEaDlRU1r2CMT6rNamoarKqtg3xl6GqVv1lYmf7iohWfb3wxXoWFezinouP8bfaK1h2Xyiu370q1YkI/++sAWzdXcZL82rvS8yYaIjA7cHGRFnFAdccN0JJZXtpGX96dyVj+2VzcTQHxgo0K65q3PWQsf2yGdmrPY98lGelFRNzllRM01O0GrQSOg2OyOb+MGMFB8qr+M3EKFR7BcvuAxX7XTf4jSAi3HZWfzbvKuOV+VZaMbFlScU0PYUr3GMESiqz1xQz7atNfP+0PvTt2KbR26uXQO/KxasbvalT+3fg+B6ZPPzRGg5WWEswEzu+JhURGS8iK0UkT0TuCjF/kIjMFpEDInJHtXn5IrJERBaKyDw/4zRNTIRafpVXVvHLN76mR1ZLfnBGdIcjBg4nxcKVjd6UiPD/zu7PppL9vLbASismdnxLKiKSDDwETACGAJNEZEi1xXYAtwF/qWEzZ6jq8ao6yq84TRO0fXlEWn49O3s9edv38OsLjyE9NQbjwLfuCC3bH77nppFOH9CRod3a8ejMtVRW2V32Jjb8LKmMBvJUda03FstUYGLwAqq6XVXnAtaPtwnftqXQ+ZhGbWLH3oM8+MEqTh3QkbMGx2i8ORFXWolAScVtTrjptL6sK9rLu0u3RmSbxtSXn0mlGxDcjWqBNy1cCrwnIvNF5MaIRmaarrLdsHMddG7cbVL3v7+SvQcr+eUFg6N7cb66jgOhcHmDOpYMZfyxOeRmt2LKJ2usTzATE34mlVCf1Pqc5WNVdQSu+uwHInJqyJ2I3Cgi80RkXmGh9YHU7G1f5h5zGp5Ulm/ZzQtfbODbJ/aif+eMCAXWQB0Hwf6dsPeo3pAaJDlJuPHUviwu2MXna4ojsk1j6sPPpFIABI+e1B3YHO7KqrrZe9wOTMNVp4Va7jFVHaWqozp27NiIcE2TsHWJe8w5tkGrqyq/eXMZbVumcvvZ/g5DHJaOA91joEVbBHxjRDc6ZrRgyieNu1vfmIbwM6nMBfqLSG8RSQOuBKaHs6KItBaRjMBz4Fzga98iNU3H1sXu4nbb+tSkHvbu0m3MXlvMj88ZQGartAgH1wCHWoBFLqmkpyZzw7jezFpdxJKCXRHbrjHh8C2pqGoFcCvwLrAceElVl4rITSJyE4CI5IhIAfBj4G4RKRCRtkBn4FMRWQR8Cbytqv/nV6ymCdn6tav6asB1kLLySn4/YzkDOrfhqtE9fQiuATK6QIu2EbtYH3DVmJ5ktEhhykwrrZjoitCg26Gp6gzcePbB06YEPd+KqxarbjdwnJ+xmSaossJdUxl1Q4NWf+qzdWzYsY/nbxhDSnKc3Pcr4l2sj1xJBaBteiqTT+rFo5+sIb9oL7kdWkd0+8bUJE4+WcaEYccaqChr0EX67bvLeOi/eZwzpDPj+vswPHBjdBzkkmWEW2tdNzaXlOQkHpvVuE4rjakPSyqm6Th0kb7+SeVP767kYGUVvzg/Mv2FRVTOUNhXDKWRvbekU0Y6l4/szivzC9heWhbRbRtTE0sqpunY/BUktzjcYipMizaW8Mr8Aq4f2zs+q4ECSTKQNCPoxlP6UFFZxb8+y4/4to0JxZKKaTo2LXBfwMnhD+WjqvzmrWV0aJPGrWfGoH+vcAR6B9gW+aSS26E1E4Z24fnZ69ldZh1XGP9ZUjFNQ1UlbFkE3UbUa7XpizYzf/1O7jxvIBnpcTquXHo7yOzlWrb54ObT+lJ6oILn56z3ZfvGBLOkYpqGwpVQvhe6jQx7lX0HK/jDjBUc260tl4/sUfcKsZQz1JfqL4Bju7Xj9IEdeWzmWkqttGJ8ZknFNA2bF7jHruGXVB7+aA1bd5dxz0XHkJwUw/69wpEzFIrz4OBeXzb/k3MGUrKvnCc/XefL9o0JsKRimoZNC9xNgmGOobK+eC+PzVzLpcO7MSo3y+fgIiBnKKAR6wa/uqHd2zH+mByemLWOnXsP+rIPY8CSimkqNi+ALsdBUnin7G/fXk5KsnDXhMiMY++7zl5fZj5VgQH8+NwB7D1YYX2CGV9ZUjHxr+KAG0MlzIv0n6wq5P1l2/jhmf3p3LZxA3lFTWZPd8F+yyLfdjGgcwaXHN+NZ2bns3233bdi/GFJxcS/LYuh8mBYF+kPVlTxv28uJTe7FdePy/U/tkgRga7DD1878sntZ/enolJ58MPVvu7HJC5LKib+bZzjHnucWOeiz87OZ23hXn510RBapMRgiODG6DrClcjK/StF9MpuzVVjevLilxtYubXUt/2YxGVJxcS/DXOgfS5kdK51se2lZTzwwWrOGNiRMwfVvmxc6jYCqipgm7+jPPzo7AFkpKdy71vLbHRIE3GWVEx8U4WNX4RVSvnf6cs4WFHFLy8cEoXAfBBoLr3J3yqw9q3TuP3s/nyaV8QHy7f7ui+TeCypmPi2Yy3sLYSeY2pd7P1l23h7yRZuO6sffTq2iVJwEda2K7TpDJvm+76rySf2ol+nNvz27WUcqKj0fX8mcVhSMfFt4xfusZaSSmlZOb98/WsG5WRw46l9oxSYD0RcacXni/UAqclJ/PLCIawv3medTZqIsqRi4tuGOdCi3eFhd0P487sr2VZaxh++MZS0lCZ+SncbAUWroWy377s6bUBHzh7cib9/uJpNJft9359JDE38E2iavQ2zocfoGm96/HLdDp6bs55rT85leM/2UQ7OB91GABqV0grAry86hipV7pm+NCr7M82fr0lFRMaLyEoRyRORu0LMHyQis0XkgIjcUZ91TQIo3QpFqyB3XMjZu/aX86P/LKRnVivuOLd+Y6zEre4nAAIbvojK7npkteJHZw/g/WXbeHdpZAcJM4nJt6QiIsnAQ8AEYAgwSUSqN8vZAdwG/KUB65rmLv9T99j7lKNmqSq/mLaEbbvLePDK4bRukRLl4HyS3g46DTl8b04UXD+uN4NyMrhn+lL2HKiI2n5N8+RnSWU0kKeqa1X1IDAVmBi8gKpuV9W5QPX+uOtc1ySA/FmuE8mc446a9eqCTby1eAs/OmcAx/fIjH5sfuo5BjbOdWPIREFqchK//8ZQtu4u46/vrYzKPk3z5WdS6QZsDHpd4E2L6LoicqOIzBOReYWFhQ0K1MSpdbOg18mQfGQpJL9oL79+42vG9M7iptOacGuvmvQ4EQ6WwvZlUdvliJ7t+faJvXj683zmr98Rtf2a5sfPpBJqAItwb98Ne11VfUxVR6nqqI4dO4YdnIlzuzfDjjVHXU/Zd7CCm56fT2pKEn+74vj4HyelIQL35GyIXhUYwE/HD6JbZkvufHkxZeV274ppGD+TSgEQPNxed2BzFNY1zUHgekru4espqspPX13Cym2l/P3K4XTNbBmj4HyW2Qva5By+RydKWrdI4U+XDWNt0V7uf39VVPdtmg8/k8pcoL+I9BaRNOBKYHoU1jXNwbqZ7qJ1ztBDk578dB1vLtrMHecO5NQBzbhUKuJKK1EuqQCc3K8DV4/pyeOz1jJ//c6o7980fb4lFVWtAG4F3gWWAy+p6lIRuUlEbgIQkRwRKQB+DNwtIgUi0ramdf2K1cSh/FnQaxwkuZ6GZ68p5g/vrOC8Yzpzy+nN8DpKdb3Gwa6NsDM/6rv+2fmD6dquJXe+ssiqwUy9+XqfiqrOUNUBqtpXVX/nTZuiqlO851tVtbuqtlXVTO/57prWNQmixPsy9a6nbC7Zz60vLKBXdiv+8s3jEGmG11Gq632qe1w3K+q7btMihfsuG8bawr38zarBTD3ZHfUm/gTdn3KgopKb/72AsvJKHvv2SDLSU2MbW7R0HAitO7lqwBgY178Dk0a7arAFG6wazITPkoqJP/mzoGUWdDqG37+9nEUbS/jLN4+jX6eMWEcWPSLups91M133/zHw8/MHkdM2nTtftmowEz5LKib+rJsFuWN5c8lWnpm9nhvG9WbC0C6xjir6ck+BPVuhOC8mu89IT+WPlw1jTeFe/vaBVYOZ8FhSMfFlZz7s2kBh9mjuenUxI3u1564JNfdQ3Kwduq7yScxCOHVARyaN7sHjM9faTZEmLJZUTHzxriH8fGEWLVKT+edVw0lNTtDTNKsPtO0Oaz6KaRg/P38wXTNb8uOXFrHX+gYzdUjQT6uJW2s/YU9qNu8XZfLXbx1Hl3bN9AbHcIhAv7Ncoq2s3j1e9GSkp/LXbx7Hhh37+P2M5TGLwzQNllRM/FClPO9jPigbyNVjenHGwE6xjij2+p0NB3bDxi9jGsaYPtl875Q+/PuLDXy00sa1NzWzpGLixr5NS0ktK2J5y+H8/PzBsQ4nPvQ5DZJSIO+DWEfCj88ZwIDObfjpK4sp2Xcw1uGYOGVJxcSN/77zEgDjL7yi+YyP0ljp7aDHmLhIKumpydz/rePZsfcgd7/+dazDMXHKkoqJCzNXFZK24VN2tujG8GFHj5+S0PqdBVsXQ+m2WEfCsd3acfvZ/Xlr8RbeWLgp1uGYOGRJxcTcrv3l/PyVrzg5eQUZg8+MdTjxp9/Z7nHNh7GNw3PTaX0Z0TOTu6d9zcYd+2IdjokzllRMzP3mzWV02LuSNuwlpe/psQ4n/uQMgzadYfX7sY4EgJTkJB68cjgAt039ivLKqhhHZOKJJRUTU+8t3cqrCwr4Sd8tbkLghj9zmAj0PQvW/DdqQwzXpUdWK37/jaF8taGEB+xuexPEkoqJmR17D/LzaUsY3KUtY5OXQqch0MaaEYfU/2woK4GCubGO5JCLjuvKFaN68PDHa/g8ryjW4Zg4YUnFxISqcvfrS9i1v5y/XTaIpI1zoPdpsQ4rfvU72zUtXvlOrCM5wq8vHkLfjm24bepXbN1VFutwTBywpGJi4s3FW5ixZCu3nz2AQeUroKLMqr5qk94Oeo2Nu6TSKi2FKZNHsP9gJbf8ez4HK+z6SqKzpGKirmDnPn4xbQnDe2by/VP7uA4TJQlyx8Y6tPg2cAIUrYQda2MdyRH6dcrgT5cfx4INJdaNi7GkYqKrorKK26cuRBUevGI4KclJrm+rrsPdr3FTswHj3ePK/4ttHCFcMKwL3x3Xm6c/z+e1BQWxDsfEkK9JRUTGi8hKEckTkbtCzBcR+bs3f7GIjAialy8iS0RkoYjM8zNOEz3//CiPeet38ttLjqVndis4UAqb5tv1lHBk9YaOg2HljFhHEtJPJwzixD5Z3PXqEr5YWxzrcEyM+JZURCQZeAiYAAwBJonIkGqLTQD6e383Ao9Um3+Gqh6vqqP8itNEz9z8Hfz9w9V8Y3g3LhnezU1c/zlUVdj1lHANHA8bZsP+klhHcpTU5CQenTyKHlktufG5+awp3BPrkEwM+FlSGQ3kqepaVT0ITAUmVltmIvCsOnOATBFJwCH+mr+tu8r4wb8X0L19K35zybGHZ+R9CCktoedJsQuuKRl4vkvCcdAXWCjtWqXy9HWjSU0WrvvXXIr2HIh1SCbK/Ewq3YCNQa8LvGnhLqPAeyIyX0RurGknInKjiMwTkXmFhYURCNtEWll5JTc+N4+9Byp47JqRtAnuLDLvfTcWe2p67AJsSrqNhNYdYcXbsY6kRj2yWvHEd05ge2kZ1/7rS+vROMH4mVQkxDStxzJjVXUErorsByISsn5EVR9T1VGqOqpjx44Nj9b4QlW585XFLNm0iweuHM6gnLaHZxavcS2ZAn1bmbolJcOgC2DVu1C+P9bR1Oj4Hpk8Mnkkq7buYfKTX7BrX+wGGTPR5WdSKQB6BL3uDmwOdxlVDTxuB6bhqtNME/Pgh6t5c9Fm/ue8QZwzpPORM9f81z1aUqmfIZdA+d64rQILOGNgJx79tiWWRONnUpkL9BeR3iKSBlwJTK+2zHTgGq8V2InALlXdIiKtRSQDQERaA+cCNoBDE/P4zLU88MFqLhvRnZtO63P0Aqvfh/a9Ibtv9INrynJPgVbZsPT1WEdSpzMGdWLKt0ewcmspVz4+h2277a775s63pKKqFcCtwLvAcuAlVV0qIjeJyE3eYjOAtUAe8Dhwize9M/CpiCwCvgTeVtX4a5xvavSvz9bxuxnLuWBoF+67bCgi1Wo6y/dD/iwrpTREcgoMutDdXR/HVWABZw7qzOPfGcX64r184+HPydteGuuQjI9EtfpljqZr1KhROm+e3dISa8/OzudXbyzlvGM688+rRpCaHOK3y7Lp8NK34Zo3oM/pUY+xyVvzX3juUvjm03DMpbGOJixLCnZx3dNzKa+s4vFrRjG6d1asQzKAiMyP5G0bdke9iRhV5c/vruBXbyzl7MGd+MekGhIKwLLXXRVOr3FRjbHZ6H0atO0OC56NdSRhG9q9HdNuOZnsNmlMfuILXplvd943R5ZUTEQcqKjk9v8s5KGP1nDlCT14ZPJI0lJqOL3K97uuRgZf7KpyTP0lJcOIa1yJZWd+rKMJW4+sVrx288mc0Ls9d7y8iD+8s5zKquZTW2IsqZgI2La7jMlPfMEbCzfzP+MH8odvDK25hALuAn35XjjmkqjF2CwNn+w64mxCpRWAzFZpPH3daCaf2JNHP1nL95+bz54DFbEOy0SIJRXTKJ+uLuL8B2fx9abd/GPScG45vd/RF+Wr+/pVq/qKhHbdoP95sOA5KG9arapSk5P47SVD+c3EY/ho5XYuf+RzCnbaePfNgSUV0yAVlVXc//4qvv3UF2S1TmP6rWO56Liuda+4Z7u7G3zYlVb1FQkn3QJ7t8OCZ2IdSYNcc1IuT193AptK9jPxn58xL39HrEMyjWRJxdTb2sI9XD5lNn//cDWXDu/GG7eOpX/njPBWXvAMVJXDyGt9jTFh9D7Vlfhm/bVJNC8O5ZT+HZl2y1gy0lO46nG7gN/UWVIxYVNVnp+zngv+/inrivbyj0nDuf9bx9MqLcwSx8G9MOcRd29KxwH+BptIzvgZ7NkG856KdSQN1q9TG17/wVhG5doF/KbOkooJy/bdZVz39Fzufv1rRuW2593bTw2vuivYnEdgXzGceqc/QSaq3HHQ5wz4+D5XvdhEZbZK45nrR3P1mMAF/Hns2m9duzQ1llRMnd5ZsoXzHpjJnLXF/GbiMTx7/Why2tWzV+Gd+a6KZvBF0PNEX+JMaOf/Gcr3wXu/jHUkjeIu4B/L/158DB+vLOTif37Kss27Yx2WqQdLKqZGu8vK+fFLC7n53wvokdWKt354CteclFt3667qysvglRsgKQXO+70/wSa6Dv1h7P+DxVNh7cexjqZRRITvnJzLizeeyP6DlVz68Ge8PG8jzan3j+bMkooJafaaYiY8MIs3Fm7mtrP68+rNJ9OvU5v6b6i8DF6+FjbNg4n/hMyeEY/VeE75CWT3g9d/EJcjQ9bXCblZvH3bKQzvmcmdryzm1he+YudeG5sl3llSMUcoLSvnl69/zaTH55CWksQrN53Ej88ZUPvNjDXZsRaePh9WvQPn/wWGVB/400RUWiu49DEo3QLv/DTW0UREx4wWPH/DGO48byDvLdvKuQ/M5KMVTfe6USKwpGIO+e+KbZz7t5k8/8V6rh/bm7dvG8fwnu3rvyFVWPgCTDkFivPgW8/B6O9FPmBztO4j4dQ7XDXYsjdiHU1EpCQn8YMz+vH6D8aS1SqN656ey3efmceawj2xDs2EYL0UG5Zv2c0f31nBJ6sK6d+pDfddPowRDUkm4Kpd3voRLH0Neo2FSx+FzB51rmYiqLIcnjzHlRS/91GzGq/mQEUlT366joc/WkNZeSVXj+nJDeP60DO7VaxDa7Ii3UuxJZUEtnJrKY/OXMO0rzbRNj2VH5zRl++cnEuLlOSGbTD/M5j2fdi9Gc74OYz7kev40ETfjnXw+BnQuhN89wNIb1v3Ok1IYekB/vbBKv4zdyNVqpw2oCNXj+nFKf07kJ5q51x9WFKphSWVuu0/WMn7y7fx/Oz1fJm/gxYpSVx7ci63nN6Pdq1SG7bRsl3w/q9h/r+gfS5c9iR0j9g5ahpq3Ux49hLofgJc9R9omRnriCJuy679vPjlRqZ+uYHtpQdIS0liVK/2jO3XgcFdMujXMYPu7VuSlFTPFosJxJJKLSyphLapZD+f5RXx/rJtzFpdSFl5FT2zWjH5xJ58c2QP2rdOa9iGKw7Cwn/Dx390/U+deAuc/jNo0YBWYsYfS1+H174H2f3hsieg85BYR+SL8soqPssrYtbqIj7LK2LF1sOjS7ZISaJbZku6tW9J13Yt6ZrZkq6Z6XTLdM9z2qUndOnGkkotEj2pqCqFpQdYsbWUlVtL+XrzLuau28HmXa4H267t0jlnSGfOPSaHk/pkN/zX2858WPwSzH8adm9yv4Qn/Am6jYjY/2IiaM1H8Mp1ULYbhl8Nw66AHmMguYEl0yagZN9B8rbvIW/7HtYU7mFTyX42lZSxuWQ/haUHjlq+Q5sWdMtMp3tWKwbnZDCka1uGdGlH57Yt6n9fVhPTpJKKiIwHHgSSgSdU9Y/V5os3/3xgH3Ctqi4IZ91QmnNSUVX2HKigZF85u/aXU7jnAJtL9nt/ZWzauZ/V20vZue9wtxad27ZgVK8sTshtz+je2QzuklH/D8jBfVC0ErYvhy2LYc2HULTKzetzOpx0q+vLq5l/8Jq8fTvgv791JcuKMncjanY/6DAAsnq7asvAX7sezTrhHKioZOuuMjZ5n53A52hTyX7yi/eyccfhjjnbt0plSNe2DM5p6x67tKVfpzYNa2Ifp5pMUhGRZGAVcA5QAMwFJqnqsqBlzgd+iEsqY4AHVXVMOOuG4kdSUVWqFKpUqVJFvefllUpZeaX3V0VZeSX7g14fqKhk/0H3urxSKa+qoqJSKa+sorxSqaisoqJKOVhZRYU37UBFJQfKqzhQ4dY/UFHFngMV7NpXTsn+8pAd7CUnCTltXVG+b6fWDOicwcCcDAbltCUruFpLFaoqoarC9RJcvt+11Nq/E8pKDj/fsxVKNsKuje6xdAvg7TclHXqdDP3PhQHj3ZeRaVoO7HE/DDYvhMKV7gdDyQaoDLqpUJIhqw90HOju1O8wADJy3Bg4rTq46s2kVJd4klJq/kER+G4JPIo0iR8fpWXlrNhayrLNu1m+ZTfLtuxm5dZSDlRUAZCWnET/zm3I7dCaThkt6JSRTmarVFqkJJGemnzoMUmE5CQhSSApSUgS77nIEfMkeDkRUpKFlKQkUpLc89TkJJKThJQk8aXUFOmk4ueAFqOBPFVdCyAiU4GJQHBimAg8qy6zzRGRTBHpAuSGsW7EjLz3ffYdrDwiaVR5ycQPaclJ3okjpKUkkZKURFpKEi1SkmiRmkSLFHditmmRQo/2rchsler+WqbRrlUqmS1TyW6TRtfMlnTKSCe5pmqsWffDJ386nEjCkZTqBn9q18OVRNrnQqfB0GmIe25joDRtLdq4m1CDb0StqnI/Hnauc1WbO9a60mjhKlj1f+78qY0kA3o4eVDLB0eS3PJJye7xhnchZ2gj/6nIykhP5YTcLE7IzTo0raKyinVFe1nmJZllm93fJ6UHojpq5eHk4l4L7kmHjDRm/c+ZUYujNn5+Q3QDNga9LsCVRupapluY6wIgIjcCN3ov94jIyjBi6wAUhbFcvIlS3MXA4khu0I539DWN2O8eVn1K04j7aDGPWxrWiUIHoFck4/AzqYT6+Vz9J0xNy4Szrpuo+hjwWL0CE5kXyeJetFjc0dVU44amG7vFHV1e3LmR3KafSaUACL6VujuwOcxl0sJY1xhjTJzxswnDXKC/iPQWkTTgSmB6tWWmA9eIcyKwS1W3hLmuMcaYOONbSUVVK0TkVuBdXLPgp1R1qYjc5M2fAszAtfzKwzUpvq62dSMYXr2qy+KIxR1dTTVuaLqxW9zRFfG4m9XNj8YYY2Kr+dzBY4wxJuYsqRhjjImYhEgqIvIfEVno/eWLyMIalssXkSXecjHv70VE7hGRTUGxn1/DcuNFZKWI5InIXdGOM0Q8fxaRFSKyWESmiUhmDcvFxfGu6/h5DUn+7s1fLCIx7+RMRHqIyEcislxElorI/wuxzOkisivo/PlVLGINpa73Pk6P+cCgY7lQRHaLyO3VlomLYy4iT4nIdhH5Omhaloi8LyKrvceQgyY1+vtEVRPqD/gr8Ksa5uUDHWIdY1A89wB31LFMMrAG6INrir0IGBLjuM8FUrzn9wH3xevxDuf44RqTvIO7f+pE4Is4ODe6ACO85xm4bo2qx3068FasY23Iex+PxzzEebMV6BWPxxw4FRgBfB007U/AXd7zu0J9LiPxfZIQJZUArwPLbwEvxjqWCDrUHY6qHgQCXdrEjKq+p6qBvivm4O4zilfhHL9D3Qmp6hwg0J1QzKjqFvU6X1XVUmA5rieK5iLujnk1ZwFrVHV9rAMJRVVnAjuqTZ4IPOM9fwa4JMSqjf4+SaikApwCbFPV1TXMV+A9EZnvdf8SD271iv9P1VBcramrm3hxPe4XZyjxcLzDOX5xfYxFJBcYDnwRYvZJIrJIRN4RkWOiG1mt6nrv4/qY4+6dq+nHabwe887q7gPEe+wUYplGH/dm0zugiHwA5ISY9QtVfcN7PonaSyljVXWziHQC3heRFV7G901tcQOPAPfiPoD34qrurq++iRDr+t5OPJzjLSK/ACqAf9ewmagf7xAa051QzIlIG+BV4HZV3V1t9gJc9cwe73rc60D/KIdYk7re+3g+5mnAxcDPQsyO52MejkYf92aTVFT17Nrmi0gK8A1gZC3b2Ow9bheRabiioK9fcnXFHSAijwNvhZgVTnc4ERfG8f4OcCFwlnqVtSG2EfXjHUJjuhOKKRFJxSWUf6vqa9XnBycZVZ0hIg+LSAdVjXmHjWG893F5zD0TgAWquq36jHg+5sA2Eemiqlu8qsTtIZZp9HFPpOqvs4EVqloQaqaItBaRjMBz3MXmr0MtGy3V6pAvJXQ8cdeljbgB1n4KXKyq+2pYJl6Od2O6E4oZ7/rgk8ByVb2/hmVyvOUQkdG4z3tx9KIMLcz3Pu6OeZAaazzi9Zh7pgPf8Z5/B3gjxDKN/z6JdSuFaP0BTwM3VZvWFZjhPe+Da+mwCFiKq8aJdczPAUtw/dBPB7pUj9t7fT6u9c+aOIk7D1cvu9D7mxLPxzvU8QNuCpwvuCqBh7z5S4BRcXCMx+GqJRYHHefzq8V9q3dsF+EaTJwc67hre+/j/Zh7cbXCJYl2QdPi7pjjkt4WoBxX+rgByAY+BFZ7j1neshH9PrFuWowxxkRMIlV/GWOM8ZklFWOMMRFjScUYY0zEWFIxxhgTMZZUjDHGRIwlFWOMMRFjScUYY0zE/H/0MQpktHOM6gAAAABJRU5ErkJggg==\n", 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" ] @@ -1850,11 +1821,11 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:44.491584Z", - "start_time": "2020-10-16T07:41:44.341414Z" + "end_time": "2020-10-16T23:42:51.114659Z", + "start_time": "2020-10-16T23:42:50.903013Z" } }, "outputs": [ @@ -1868,7 +1839,7 @@ }, { "data": { - "image/png": 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\n", 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ibh7S3usoNcLX4j8Qp6nnb8Cz7sU6gJXj2pPbEhsdwes25IMxtUZBUQlvfbeZUzs1pXvLBl7HqRE+Deymqmf4O0ht0Ti+Dpf3S2byogzuO7srzRJCa6Q/Y8yvTV22nayDR3j68t5eR6kxVY3tc617fW95l8BEDD03ndqewpIS/vP9Vq+jGGOOk6ry+rw0ujZPYGjnpl7HqTFVNfvEu9cJFVxMOdo1jefsbi0YP38LOXmFXscxxhyHWWuyWLvzILcM7RCyQzmUp6qxfV5zrx8NTJza485hnfli1U5e/zaNP57V1es4xphjUFKiPDtzPW2bxDGyT0uv49Qo6+HrJ91a1uf8nkm8+e1m9h4q8DqOMeYYfLFqJ2t2HODu4Z1DeiiH8tSuTxNk7h7embzCYl6bu8nrKMaYaiouUZ6fuZ5OzepxUe9WXsepcVUWfxGJEJErAhGmtuncPIGRvVsy/vstZB3M9zqOMaYaPl22nQ1Zudw9vDOREbWnrb9UlcVfVUuAO6r7xiISKyILRWSZiKwSkUfdxxu74wRtcK8bHUPukHHX8C4UFiv/nmN7/8aEiqLiEl6ctYETWiRwXo/QHba5Mr42+8wUkftEJNkt3o1FpHEVrzkCnKmqvYE+wDkicjLwIDBLVTsDs9z7tVb7pvFc2rcVExak21SPxoSI//64jc27D3HviC5E1MK9fvC9+N8I/B6YCyx2L6mVvUAdue7daPeiwEhgvPv4eGBU9SKHnj+c2RlV5aWvN3odxRhThYKiEl78agO9WjdgRLfmXsfxG5+Kv6q2L+dS5azFIhIpIkuBLGCmqi4AmqvqDvd9dwDNKnjtrSKSKiKp2dnZPn+gYJTcOI7R/ZN5PzWDjL15XscxxlTi/dQMtu0/zL0jutSq8/qP5ut4/nEi8mcRGeve7ywiF1T1OlUtVtU+QGtggIj08DWYqo5V1RRVTUlMTPT1ZUHrjjM6IyL8c9YGr6MYYyqQX1jMS19vpF/bRpzWJfTrTmV8bfZ5CygATnHvZwJ/9XUlqrofmAOcA+wSkSQA9zrL1/cJZS0axHLtwLY/tSUaY4LPxAXp7DyQzx/Pqt17/eB78e+oqv8ACgFU9TBQ6ZYRkUQRaejergsMB9YCU4Ex7mJjgCnVjx2abj+9I3UiI3jxq/VeRzHGHCWvoIhX5mxiUIcmnNKx9ozhUxFfi3+BW8AVQEQ64pzNU5kknHkAlgOLcNr8pwFPASNEZAMwwr0fFhITYrjulLZMWbbdxvs3Jsj8Z/5Wduce4Y9ndfE6SkD4WvwfAb4AkkVkAs4pmg9U9gJVXa6qJ6lqL1XtoaqPuY/vUdVhqtrZvd57PB8g1Nw2tCPxdaJ4wfb+jQkaB/MLee2bTZzWJZGUdlWdxV47+Hq2z5fAJcD1wHtAiqrO8V+s2qtRfB1uHNyO6St2smp7jtdxjDE4c/Puyyvk3hHhsdcPvp/t8w5O8d+kqtNUdbd/Y9VuNw3pQP3YKJ6faXv/xngtJ6+QcfPSGH5ic3onN/Q6TsBU52yfJOBfIrJJRD4Skbv8mKtWa1A3mluHduCrNVkszdjvdRxjwtrr36ZxML8orPb6wfdmn6+BJ4C/AK/jzOd7ux9z1XrXD25Po7honv1ynddRjAlbew8V8Oa3mzm/ZxLdWtb3Ok5A+drsMwv4DhgNrAP6q+oJ/gxW29WLieL20zsyb8NuFm0Jq2PexgSN177ZxOHCYu4Z0dnrKAHna7PPcpxOXj2AXkAP99RPcxx+c3I7EhNieGbGOlTV6zjGhJWsg/mMn7+FkX1a0alZ+M1K62uzzz2qOhS4GNiDcwxgvx9zhYW6dSL53ekdWbB5L99v2uN1HGPCyiuzN1FYrNw1LPz2+sH3Zp87RGQysBRnFM43gXP9Fyt8XDWgDUkNYnn2S9v7NyZQtu8/zMQF6VzWtzXtmsZ7HccTvjb71AWeA05wO2Y96h4ENscpNjqSO87sxJL0/cxZF9qjlxoTKl6avRFF+cOwTl5H8YyvzT5PA/nAbe6vgN7+jRVeLu+XTOtGdXlu5nrb+zfGzzL25vH+ogxG90+mdaM4r+N4xtdmnzuBCThj7zcD3hWRP/gzWDipExXBXcM6s2JbDl+u3uV1HGNqtX/O2kBEhHDHGeHZ1l/K12afm4GBqvqwqj4MnAzc4r9Y4efik1rRoWk8z325npIS2/s3xh/SsnP5aEkm1w5sS4sGsV7H8ZSvxV+A4jL3i6liSGdTPVGREdw1vDPrdh3ksxU7vI5jTK304qwNxERFcvvpHb2O4rnqDO+wQEQeEZFHgB+AN/yWKkxd0KslXZrX4/mv1lNUXOJ1HGNqlfW7DjJ12XbGnOL0rwl3vh7wfQ64AdgL7ANuUNUX/JgrLEVGCPcM70Ja9iGmLN3udRxjapXnZ64nvk4Uvx1a5fTjYSGqsidFpOzA1lvcy0/PhdtY/IFwdvcWdG9ZnxdnbeDC3i2pE+XrjzNjTEVWbsvh85U7uXNYZxrF1/E6TlCoqrIsBlLd69LbqWVumxoWESHcf3ZX0vfm8dZ3m72OY0zIU1Ue+3Q1jeKiuenU9l7HCRqV7vmrqm0pD5zetRnDTmjGP2dtYNRJrWheP7zPSjDmeExdtp2FW/by5CU9aVA32us4QaPSPX8RaVHVG/iyjKm+hy/sRmGx8uT0NV5HMSZk5R4p4onP1tCrdQOuSEn2Ok5QqarZZ7oP7+HLMqaa2jaJ57endeCTpdtZuNkOrRhzLP41awNZB4/w6EXdiYyws9PLqqr49xaRA5VcDgLNAxE0HP3u9E60bBDLw1NW2qmfxlTTxqxc3vxuM5f3a81JbRp5HSfoVFr8VTVSVetXcklQ1VaBChtu6taJ5M8XdGPtzoNMXJjudRxjQoaq8uinq4iNjuSBc2zeqfLYeYRB7tweLTilYxOembGOPblHvI5jTEj4cvUu5m3YzT3Du1iHrgpY8Q9yIsKjF3Unr6CYZ2y+X2OqlF9YzGOfrqZr8wSuG9TW6zhBy4p/COjcPIHrT2nHpEUZLM/c73UcY4Lav+dsYtv+wzxyUXeiIq3EVcTXIZ07ikiMe/t0EblTRBr6NZn5hbuGd6ZJfAwPT1llo34aU4GMvXm8+s0mLuiVxKCOTbyOE9R8/W/xI6BYRDrhDOjWHpjot1TmVxJio3no3BNYmrGfD5dkeh3HmKD0+LTVRIjwp/NP9DpK0PO1+JeoahHOBO4vqOo9QJL/YpnyXHxSK/q1bcQ/vlhLzuFCr+MYE1S+WZ/Nl6t38YdhnUhqUNfrOEHP1+JfKCJXAWOAae5j1k86wCIinIO/ew4V8MJX672OY0zQKCgq4dGpq2jfNN7G7/GRr8X/BmAQ8ISqbhaR9sC7/otlKtKjVQOuHtCG/8zfyrqdB72OY0xQePO7zaTtPsTDF3YjJirS6zghwdfx/Fer6p2q+p6INAISVPUpP2czFbjvrK4kxEbxf1NX2oTvJuztzMnnX7M2MPzEZpzRtZnXcUKGr2f7zBGR+u74/suAt0TkuSpekywis0VkjYisEpG73Mcbi8hMEdngXlu/62pqFF+H+87qyg9pe5m23KZ8NOHtyc/XUFii/OWCbl5HCSm+Nvs0UNUDwCXAW6raDxhexWuKgD+q6ok4E77/XkS6AQ8Cs1S1MzDLvW+q6aoBbejesj5/m76GQ0eKvI5jjCcWpO1hytLt3Da0A22bxHsdJ6T4WvyjRCQJuIKfD/hWSlV3qOoS9/ZBYA3QChgJjHcXGw+Mqk5g44iMEB4b2Z0dOfm8PHuj13GMCbii4hL+b+oqWjWsy+2nd/I6Tsjxtfg/BswANqnqIhHpAGzwdSUi0g44CVgANFfVHeD8BwGU20gnIreKSKqIpGZnZ/u6qrDSr21jLunbinHz0ti8+5DXcYwJqAkL0lm78yB/Pv9E6taxg7zV5esB3w9UtZeq3u7eT1PVS315rYjUw+kkdrfbdOQTVR2rqimqmpKYmOjry8LOg+eeQExUJI9+usoO/pqwsSf3CM9+uY5TOzXlnB42n9Sx8PWAb2sR+VhEskRkl4h8JCKtfXhdNE7hn6Cq/3Uf3uU2IeFeZx1reAPNEmK5e3hn5qzLZtYa25QmPDw9Yx15BcU8clE3RGySlmPha7PPW8BUoCVOu/2n7mMVEucbeQNYo6plzwyaitNZDPd6SnUCm18bc0o7OjWrx2PTVpNfWOx1HGP8alnGfianZnDD4HZ0apbgdZyQ5WvxT1TVt1S1yL28DVTVFjMY+A1wpogsdS/nAU8BI0RkAzDCvW+OQ3RkBI9e1J30vXmMm5vmdRxj/KakRHl46iqa1ovhzmGdvY4T0qJ8XG63iFwLvOfevwrYU9kLVPVboKLfY8N8XK/x0eBOTTmvZwtenrORi/u2onWjOK8jGVPjPlycybKM/Tx3RW8SYm2EmePh657/jTinee4EdgCXuY+ZIPKn851OLn+bvsbjJMbUvJzDhfz9i7WktG3ExSfZ7LHHy9ezfdJV9SJVTVTVZqo6SlW3+jucqZ5WDevy+9M7MX3FTmavs4O/pnb5xxdr2ZtXwCMXdbeDvDWg0mYfEfkXUOH5g6p6Z40nMsfllqEdmLZ8Bw98uJwZdw+lcXwdryMZc9xmr81iwoJ0bj61PT1aNfA6Tq1Q1Z5/KrC4kosJMrHRkTw/ug85eYU89N/ldu6/CXl7co9w/4fLOaFFAved3dXrOLVGpXv+qjq+sudNcOrWsj5/PKsLT36+lg8WZ3JFSrLXkYw5JqrKQ/9dwYHDhbxz0wBio60nb02x2Y1rqZuHdGBg+8Y8OnUV6XvyvI5jzDH5IDWTL1fv4r6zu3BiUn2v49QqVvxrqcgI4bnRfYiIEO59fynFNum7CTHpe/J49NNVDOrQhJtP7eB1nFrHin8t1qphXR4f2YPUrft49ZtNXscxxmdFxSXc8/5SIiKEZ6/oTUSEnd1T06rs5CUiscAFwBCc4R0OAyuBz1R1lX/jmeM1sk9Lvlqzi+dnrmdo50R6trYzJUzwe/WbTSzeuo8Xr+xDy4Y2Gbs/VLrnLyKPAN/hzN+7AHgNeB9nopan3Jm4evk7pDl2IsITo3rStF4Md0/+kcMFNvaPCW7LM/fzwlcbuLB3S0b2sc5c/lJVs88iVe2nqn9U1Ymq+pWqTlPV51T1QuAawE4kD3IN4qJ59orebMo+xJOfW+9fE7wOFxRz9+SlJCbE8NeRPbyOU6tVWvxV9bMqns9S1dSajWT8YXCnptw4uD3/mb+VOdb71wSpv01fQ1r2IZ65vDcN4mzsHn/yaWA3EfmUynv6XlRjiYzfPHBOV77dmM391vvXBKHZ67J454et3HRqewZ3aup1nFrP17N90nAO9I5zL7k4B32fdS8mBMRGR/LC6JPIySvkf/+7wnr/mqCx91ABD3y4nK7NE7jfevEGhK/F/yRVHa2qn7qXq4FTVfUbVf3GnwFNzSrt/fvFqp18uDjT6zjGuL14l5OTV8gLV/axXrwB4vNkLu6k7QCISHuqnszFBKmfev9+upqMvdb713jrg8WZzFhlvXgDzdfifw8wR0TmiMgcYDZwl99SGb+KdDvOCHDPZOv9a7yTviePR6eu4uQOja0Xb4D5Op7/F0BnnIJ/F9BVVb/0ZzDjX60bxfHYqO7W+9d45pe9ePtYL94A83l4B1U9oqrL3MsRf4YygTGqTyvO75XE8zPXsyIzx+s4JsyU9uJ9fGQPWlkv3oCrqofvZhFJcy/l3S69tkldQpDT+7eH9f41AVfai/eCXkmM7NPS6zhhqarx/NsHKojxRsO4OjxzeW+ufWMBT32+hketV6Xxs7K9eJ8Y1dOmZPSIz80+ItJCRC4SkQtFpLk/Q5nAOrWz0/t3/PytfLM+2+s4ppZ78nPrxRsMfCr+InIzsBC4BLgMWCAiN/ozmAmsB87pSpfm9bjvg2XsPVTgdRxTS81el8V/5lsv3mDg657//Tgdva5X1TFAP+B//BfLBFpp79/9eQXc+d6PFBaXeB3J1DJb9xzij+8vs168QcLX4p8JHCxz/yCQUfNxjJe6tazP3y7uybcbd/PwlJU2/IOpMTl5hdzw9iJKVHn1N/2sF28Q8GlgN2AbTlPPFJwB3kYCC0XkXgBVfc5P+UyAXZ6SzJY9h3h59ibaNYnnt6d19DqSCXEFRSXc9u5iMvbm8e5NA2nfNN7rSAbfi/8m91JqinudULNxTDD444iubN2Tx1NfrKVtkzjO6ZHkdSQTolSVP328gvlpe3h+dG8GdmjidSTj8qn4q+qj/g5igkdEhPDM5b3Ztv8wd09eyuQGdemd3NDrWCYEvTJnEx8szuTOYZ25+KTWXscxZVTVyWusiPSs4Ll4EblRRK7xTzTjpdjoSMZdl0JiQgw3jU8lc58NAGeqZ9ry7Tw9Yx0j+7TknuGdvY5jjlLVAd9XgL+IyBoR+UBEXhGRN0VkHvA9TrPPh35PaTzRtF4Mb13fnyNFxdz0dioH8gu9jmRCxJL0fdz7/jJS2jbi75f2so5cQaiqaRyXquoVQH/gZWAeMBW4WVV7q+qLlY3z4/5HkSUiK8s81tid+H2De92ohj6L8YNOzRJ49dp+bMrO5Y6JP1Jkp4CaKmTszeOW8akkNYhl7HUpdmZPkPJ1VM9cYBXwlap+oqrrfHz/t4FzjnrsQWCWqnYGZrn3TRAb3KkpT1zcg7nrs/m/qavsFFBToZzDzimdRSXKm9f3t6lCg1hVbf4iIo+IyG5gLbBeRLJF5GFf3lxV5wJ7j3p4JDDevT0eGFW9yMYLo/u34bbTOjJhQTpvfLvZ6zgmCBUWl/C7CYvZuucQr17bj46J9byOZCpR1Z7/3cBgoL+qNlHVRsBAYLCI3HOM62yuqjsA3Otm5S0kIreKSKqIpGZn23gzweCBs7tyXs8WPDF9DTNW7fQ6jgkiqspfPlnJdxv38OQlvRjU0U7pDHZVFf/rgKtU9addPVVNA651n/MbVR2rqimqmpKYaDNGBoOICOG5K/rQq3VD7p601OYAMD95bW4akxZlcMcZnbisn53SGQqqKv7Rqrr76AdVNRs41uH4dolIEoB7nXWM72M8EBsdyevXpdA4vg43jV/E9v2HvY5kPPb5ih089flaLuiVxL0jungdx/ioquJf2fCOxzr041RgjHt7DD/3FjYhIjEhhjev78/hgmJufHsRuUeKvI5kPLI0Yz93T17KSW0a8szlvW0qxhBSVfHvLSIHyrkcBMrt/FWWiLwHzAe6ikimiNwEPAWMEJENwAj3vgkxXVsk8PI1fdmQlcsdE5fYKaBhKHNfHjePT6VZ/RjG2SmdIaeqmbyO69tU1asqeGrY8byvCQ5DuyTy2Mju/OnjlTw2bTWPXtTdOvOEiQP5hdz49iKOFBUz6daBNK0X43UkU02+Duz2KyKSrqptajKMCT3XDGzLlt2HGDdvM+2axHPjqTbzZ21XWFzC7ycsIS37EONvHECnZja+Yyg65uIP2C6eAeDBc09k6548Hv9sNa0b1eWs7i28jmT8RFV5eMoq5m3Yzd8v7WmzcYUwn+fwLYd18zQAREYIL1zZh16tGvD7iUuYsnSb15GMHxQVl/A/Hy3nvYXp3H56R0b3tx/+oazSPf/SyVrKewqw7nvmJ3F1onjn5oHcMj6VuyYtZU9ugTUB1SL5hcXcMfFHvlqzizuHdbZROmuBqpp9KmvMe7Emg5jQVz82mvE3DuDuSUt5bNpqduce4f6zu9pB4BCXk1fIzf9ZROrWfTw+sju/GdTO60imBlRV/N9Q1czynhCRC/2Qx4S42OhIXr6mL3/+ZCWvzNnEntwCnri4B1GRx9PCaLyyMyefMW8uZPPuQ7x0VV/O72WzutUWVf1FzhKRdkc/KCI3AC/4I5AJfZERwt8u7sGdZ3ZicmoGt727hPzCYq9jmWralJ3Lpf/+nm37D/P2Df2t8NcyVRX/e4CZIvJTA5+IPATcC5zmz2AmtIkI957VlcdGdmfW2l385o0F5OTZZDChYlnGfi5/db57Hv/JnGJn9dQ6VU3mMh24DfhcRHqIyAvABcDQipqDjCnrukHt+NdVJ7E0Yz9XvDafXQfyvY5kqjB3fTZXjfuBejFRfHjbKfRo1cDrSMYPqmyIVdVZwPXAHKADMExV9/k3lqlNLujVkrdvGEDmvjwueeV70rJzvY5kKjBl6TZufHsRbZvE8+Htg2jXNN7rSMZPqprM5aCIHAA+B+rjDMuQVeZxY3wyuFNTJt06iPzCYi57dT7LMvZ7Hckc5c1vN3PXpKWktGvE5N+eTLOEWK8jGT+qqtknQVXru9d1VDW+zP36gQppaoeerRvw4e2nEB8TyVXjfmDuepukJxioKv/4Yi2PTVvNOd1b8PYNA6gfe6wjtptQYeffmYBq3zSej247hbZN4rlp/CLrDeyxouISHvxoBa/M2cTVA9vw8jV9bXTOMGHF3wRcs/qxTP7tyfRt04i7Ji3lre9sTmAv5BcWc9u7S5icmsGdwzrzxKgeRNp4/GHDir/xRGlv4HO6t+DRT1fz9Iy1qNpwUYGSk1fIb95YwKy1u3h8ZHfuHdHFemKHGSv+xjOlvYGvGtCGl2dv4r4PlnPIZgXzu03ZuYweO59lGTm8dFVfG64hTB3PkM7GHLfS3sDNEmL459cb+CFtD09e0pOhXRK9jlbrFBaXMG5eGi98tYG60ZG8dUN/G5I5jNmev/GciHDPiC588NtBxEZHcN2bC7nvg2XszzvWaaLN0VZuy2HUy9/xjy/WMfzEZsy8d6gV/jBne/4maKS0a8xndw7hpa838u9vNjFnXTaPj+zOuT1tTJljlV9YzL++3sCr36TRKK4Or17bl3N62PY0IKFwkC0lJUVTU1O9jmECaNX2HB74cDmrth/gnO4teGxkd5rVt05H1ZG6ZS8PfLSctOxDXN6vNX8+vxsN4uz8/XAiIotVNaXc56z4m2BVVFzCuHmbef6r9cRGRfCXC7pxWb/WdlZKFQ4dKeLpGesYP38LLRvUtWMoYcyKvwlpm7JzeeijFSzcspchnZvyt4t7ktw4zutYQemb9dn8739XsD3nMGMGteP+s7sSH2Otu+HKir8JeSUlyoQFW3nq87Uo8MDZXbluUDsirFMSAPvzCnh82ho+WpJJx8R4/nFZL/q1bex1LOMxK/6m1ti2/zD/+98VfLM+m35tG/H3S3vSqVlls43Wfp+v2MFfpqxif14Bt53WkTvO7GRDNBjAir+pZVSVj3/cxmPTVpN3pJi7hnfm1qEdiA6zqSKzDuTz8JRVfLFqJz1a1efvl/aie0sbe9/8rLLib42BJuSICJf0bc2Qzok88ukqnp6xjk+XbefmIR04r2cL4urU7n/W2/cf5oPUTN74No38ohL+55wTuGVIe5sn2VSL7fmbkDdj1U7+/vla0nYfol5MFBf1acmV/ZPp2apBrTkzqKCohK/X7mLSogy+WZ+NKpzeNZGHL+hGh8R6XsczQcqafUytp6qkbt3HpIUZfLZiO/mFJZzQIoEr+ycz6qRWNIyr43XEY7IxK5f3UzP4aHEmew4V0KJ+LFektObylGQ748lUyYq/CSsH8guZunQ776dmsDwzhzpREZzbowWjU5I5uUOToD9DKK+giM+W7+D91AwWbdlHVIQw/MTmjB6QzNDOiTbssvGZFX8TtlZtz+H9RRl8/OM2DuQX0aZxHKP7J3NZv9Y0D6Iew6rKim05TFqUwdSl28k9UkSHxHhGpyRzSd/WJCbEeB3RhCAr/ibs5RcWM2PVTiYtzGB+2h4iBM7o2ozR/ZM544Rmnp0ptD+vgE9+3MakRRms3XmQ2OgIzu/ZkisHJJPStlGtOWZhvBGUxV9EzgFeBCKB11X1qYqWteJvatKW3Yd4PzWDDxdnknXwCE3rxdCzVX2SG8eR3CjOuW5cl+TGcTUyl62qkn3wCBn78sjYe5j0vXlk7M0jY18eS9L3U1BUQq/WDRjdP5kLe7e0+XNNjQm64i8ikcB6YASQCSwCrlLV1eUtb8Xf+ENRcQlz1mUzZdl2NmXlkrE3j4NHTSbToG40bUr/M2gUR+vGcc79RnVp1aguMVFOZ6oD+YVOQd97+KfC7lw7948UlfzifZslxJDcOI6erRpweUprOz/f+EUwnuc/ANioqmkAIjIJGAmUW/yN8YeoyAiGd2vO8G7NAWcPPedwoVPA3eKd7hbwtTsO8tXqLAqKfy7iItA8IZb8omL25xX+4r0TYqNIbhRHx8R4zuiaWOZXRV1aN4qzHrjGc14V/1ZARpn7mcDAsguIyK3ArQBt2rQJXDITtkSEhnF1aBhXh56tf70nXlKi7DqYf9Te/WHq1on4ubmokfPLwIZONsHOq+Jf3lGsX7Q/qepYYCw4zT6BCGVMZSIihKQGdUlqUJcB7W3QNBPavOoPngkkl7nfGtjuURZjjAk7XhX/RUBnEWkvInWAK4GpHmUxxpiw40mzj6oWicgdwAycUz3fVNVVXmQxxphw5Nnwh6o6HZju1fqNMSac2RiwxhgThqz4G2NMGLLib4wxYciKvzHGhKGQGNVTRLKBrcfxFk2B3TUUpyZZruqxXNVjuaqnNuZqq6qJ5T0REsX/eIlIakWDG3nJclWP5aoey1U94ZbLmn2MMSYMWfE3xpgwFC7Ff6zXASpguarHclWP5aqesMoVFm3+xhhjfilc9vyNMcaUYcXfGGPCUK0o/iJyuYisEpESEUk56rmHRGSjiKwTkbMreH1jEZkpIhvc60Z+yjlZRJa6ly0isrSC5baIyAp3Ob9PXiwij4jItjLZzqtguXPc7bhRRB4MQK6nRWStiCwXkY9FpGEFy/l9e1X12cXxT/f55SLS1x85yllvsojMFpE17t/AXeUsc7qI5JT5fh8OULZKvxcvtpmIdC2zHZaKyAERufuoZQKyvUTkTRHJEpGVZR7zqRbVyN+iqob8BTgR6ArMAVLKPN4NWAbEAO2BTUBkOa//B/Cge/tB4O8ByPws8HAFz20BmgZw+z0C3FfFMpHu9usA1HG3azc/5zoLiHJv/72i78Xf28uXzw6cB3yOM0vdycCCAH13SUBf93YCsL6cbKcD0wL178nX78WrbXbU97oTpyNUwLcXMBToC6ws81iVtaim/hZrxZ6/qq5R1XXlPDUSmKSqR1R1M7ARZ/L48pYb794eD4zyS1CXiAhwBfCeP9dTwwYAG1U1TVULgEk4281vVPVLVS1y7/6AM+ObF3z57COB/6jjB6ChiCT5O5iq7lDVJe7tg8AanDmyQ4En26yMYcAmVT2e0QOOmarOBfYe9bAvtahG/hZrRfGvRHkTxZf3h9FcVXeA88cENPNzriHALlXdUMHzCnwpIovdiewD4Q73p/ebFfzU9HVb+suNOHuJ5fH39vLls3u9fRCRdsBJwIJynh4kIstE5HMR6R6gSFV9L15vsyupeAfMi+0FvtWiGtlunk3mUl0i8hXQopyn/qSqUyp6WTmP+fXcVh9zXkXle/2DVXW7iDQDZorIWncvwS+5gH8Dj+Nsm8dxmqRuPPotynntcW9LX7aXiPwJKAImVPA2Nb69jo5ZzmNHf/aA/1v7xcpF6gEfAXer6oGjnl6C07SR6x7P+QToHIBYVX0vnm0zcaaPvQh4qJynvdpevqqR7RYyxV9Vhx/Dy3ydKH6XiCSp6g73Z2fWsWSEqnOKSBRwCdCvkvfY7l5nicjHOD/zjquY+br9RGQcMK2cp3zdljWaS0TGABcAw9Rt8CznPWp8ex3Fl8/ul+3jCxGJxin8E1T1v0c/X/Y/A1WdLiKviEhTVfXrIGY+fC+ebTPgXGCJqu46+gmvtpfLl1pUI9uttjf7TAWuFJEYEWmP87/3wgqWG+PeHgNU9EuiJgwH1qpqZnlPiki8iCSU3sY56LmyvGVrylHtrBdXsL5FQGcRae/uNV2Js938mesc4H+Ai1Q1r4JlArG9fPnsU4Hr3DNYTgZySn+++5N7/OgNYI2qPlfBMi3c5RCRATh/93v8nMuX78WTbeaq8Ne3F9urDF9qUc38Lfr7iHYgLjgFKxM4AuwCZpR57k84R8bXAeeWefx13DODgCbALGCDe93Yj1nfBm476rGWwHT3dgeco/fLgFU4zR/+3n7vACuA5e4/oqSjc7n3z8M5m2RTgHJtxGnbXOpeXvVqe5X32YHbSr9LnJ/iL7vPr6DMWWd+3kan4vzkX15mO513VLY73G2zDOfA+SkByFXu9xIk2ywOp5g3KPNYwLcXzn8+O4BCt37dVFEt8sffog3vYIwxYai2N/sYY4wphxV/Y4wJQ1b8jTEmDFnxN8aYMGTF3xhjwpAVf1MpcUb8vM+9/ZiIVNgpS0RGiUi3wKX7xbp/yunj8g1F5Hf+zHQsRGSOuCPTish0qWAkU/f5u0UkrpLnXy/9PkQkt5o5+kiZ0V1F5KJjHj3SBCUr/sZnqvqwqn5VySKjcEZSDQUNgaAr/mWp6nmqur+SRe7GOWf9V0QkUlVvVtXVx7j6PjjnkpdmmaqqTx3je5kgZMXf/IqI/MkdK/wrnKGySx9/W0Quc28/JSKr3cHgnhGRU3DGSnlanDHQO4rILSKyyB0g66PSvVT3ff4pIt+LSFrpe7rPPSDOGPDLROQp97GOIvKFOAOEzROREyqI3ltEvhZnLPRbyrzn/W6O5SLyqPvwU0BHN+vTbhf+i9zlPxaRN93bN4nIX93b14rIQvc1r4lIpPv4WSIyX0SWiMgH4oyzUzqe/aPu4yvKyy0idUVkkpttMlC3zHNbRKSp21v2M3ebrBSR0SJyJ07Hn9kiMttdPtf9dbYAZ2Cyn35FuM8/62aZJSKJ7mNlf2k0dddZB3gMGO1+1tEicr2IvOQu19Z9j+XudZvKvlcRSRKRue57rRSRIRV8fyaQAtGjzi6hc8EZc2gFzh5lfZxetve5z70NXAY0xukxXdpJsGHZ58u8V5Myt/8K/KHMch/g7Hx0wxmeFpzxVr4H4tz7pb0bZwGd3dsDga/Lyf0ITo/MukBTnJ7BLXGGFRiL05s0AmfcoqFAO345jvqVwNPu7YXAD+7tt4CzceaM+BSIdh9/BbjOXddcIN59/H9w52nAGc++9DP/Dni9nNz3Am+6t3vhDGCXUub1TYFLgXFlXtOg7PNlHlfgijL355R5LwWucW8/DLxUzjJNgS3u7etLlzn6vrsdxri3bwQ+qeJ7/SM/9/CNBBK8/nduFw2dgd1MwAwBPlZ3LB0RKW/MkANAPvC6iHxG+QPBAfRw95obAvWAGWWe+0RVS4DVItLcfWw48FbpulV1r7sXfQrwgchPgxnGVLC+Kap6GDjs7g0PwBn+4CzgR3eZejhjPKUf9dp5wN1uG/lqoJE4Yx4NAu7EGWelH7DIzVEXZ9Ctk3EK3Xfu43WA+WXet3SgtcU4A/odbSjwT/fzLheR5eUsswJ4RkT+jjPJyLwKPn8xzgBv5SkBJru33y2T61gM4ufP8g7OBCSlyvteFwFvijMA3SequvQ41m1qiBV/U55Kx/xQ1SJxBrwahrPHfAdwZjmLvg2MUtVlInI9zgxJpY6UuS1lro9edwSwX1X7HENudd/zSVV9rewT4ox9//OCqtvEmcfgHJw9+cY4E+7kqupBcSr7eFV96Kj3uRCYqapXVZCp9HMWU/HfW1Xbe72I9MNpg39SRL5U1cfKWTRfVYsre69y1lnEz82/sT6+tqL3gnK+V1WdKyJDgfOBd0TkaVX9zzGuy9QQa/M3R5sLXOy2RScAFx69gLs33kBVp+McdOzjPnUQZyrBUgnADneP7xof1v0lcGOZYwON1Rled7OIXO4+JiLSu4LXjxSRWBFpgvMfzSKcXxs3lmmHbyXO+PJHZwVnj/1udxvMA+5zr8FperrMfW3pXKttcQb+GiwindzH40Skiw+ftdRc3G0jIj1wmn5+QURaAnmq+i7wDM7Uf1TwGSoSgdNkB3A18K17ews/Dy9+WZnlK3vv73H+08fN/m0FywHOMQIgS1XH4YxAGpD5jU3lbM/f/IKqLnEPPC4FtvJz8SsrAZgiIrE4e3f3uI9PAsa5ByMvA/6CM6vUVpymi0oLlap+ISJ9gFQRKQCmA/+LU2D+LSJ/BqLd9Swr5y0WAp8BbYDH1RlPfruInAjMd5tlcoFrVXWTiHwnzuTZn6vq/e5nPUtVN4rIVpy9/3luttXu+r8UkQickRh/r6o/uL9q3hOR0uaoP+OMuOiLfwNvuc09Syl/yPGeOAfSS9z13u4+Phb4XER2qOoZVaznENBdRBYDOcBo9/FngPdF5DfA12WWnw08KCJLgSePeq87cZpx7geygRuqWPfpwP0iUoiz/a+rYnkTADaqpzHGhCFr9jHGmDBkxd8YY8KQFX9jjAlDVvyNMSYMWfE3xpgwZMXfGGPCkBV/Y4wJQ/8Ppq4mFru9m0sAAAAASUVORK5CYII=\n", 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" ] @@ -1919,11 +1890,11 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:44.501161Z", - "start_time": "2020-10-16T07:41:44.493023Z" + "end_time": "2020-10-16T23:42:51.127340Z", + "start_time": "2020-10-16T23:42:51.116587Z" } }, "outputs": [], @@ -1965,11 +1936,11 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:41:44.592600Z", - "start_time": "2020-10-16T07:41:44.502483Z" + "end_time": "2020-10-16T23:42:51.163980Z", + "start_time": "2020-10-16T23:42:51.129810Z" } }, "outputs": [ @@ -2002,7 +1973,7 @@ "1" ] }, - "execution_count": 31, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2027,17 +1998,17 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:33.367945Z", - "start_time": "2020-10-16T07:41:44.594050Z" + "end_time": "2020-10-16T23:44:32.338933Z", + "start_time": "2020-10-16T23:42:51.166272Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2048,7 +2019,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "51e2f73cc0154512930d37532546a5ae", + "model_id": "8dbe52f4545e4ad0b0d1a654711a8208", "version_major": 2, "version_minor": 0 }, @@ -2077,13 +2048,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#1 Train loss: 187.6327Loss: 169.589890 \n", - "#1 Test loss: 168.4872\n" + "#1 Train loss: 186.8852Loss: 155.461349 \n", + "#1 Test loss: 168.6469\n" ] }, { "data": { - "image/png": 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\n", 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JfuHChUn+lVde6TTdFTaMqM3pZsBbYsfJHFdix8kcV2LHyZy6hZjKfObu+suQ+px2BQ57rh6iZ1fVsFMc9SqV1icum25oh0tqv9eGy2xe/9+1bLbW19H9F9dcc00Da1KgN9BrRrwldpzMcSV2nMxpyIitWrAjq3R4x4aYrHmtTVS7eLyd4TJ16tRKuqWlJZFZc1qP5tEjhiANK3U1i8lDTE5P4C2x42SOK7HjZI4rseNkTq9tqNbVMMxq55atCAJpSMeWYVd90Buh2U3R9EbhkC4Qr4d2QsfQlfaD7QbZemUPO/vpgzwzKWfs0N9XX321kp40aVJ9K9MJ3hI7Tua4EjtO5rgSO07mNF2c2PqNdqii9k92796dyGzcWPu2djNwG3/WwzntKiB6gy9I/eAtW7YkMu0HW/++LN/VuX15k/Fmx05F1cMwZ86cmcgeeuihutRJ4y2x42SOK7HjZE7dFo+3s32qYcNGZea0lVmzVw+X1EMlAdra2pK8Dg3ZBffs0EptQre2tiYybYrbhfKsq1BmTlvchG4c1k3Trtny5cvrXZ0OeEvsOJnjSuw4meNK7DiZI7X4WiLS7ZPLhl3WMiTzfK7VYaRhw4YlspEjRyb5ESNGVNJ26qH1ZbWva1e01Csj2lBV2coelho3JD/3L9RQyzN26sqaEML0zgTeEjtO5rgSO07muBI7TubULU5cRndjyFDbdD5dB+u72qVztC9rh2SWTY8sW9GyLC7sOD2Ft8SOkzmuxI6TOQ2ZxWTNylpM5HNdMcRSZgZ3NaOoTOYms1NvvCV2nMxxJXaczHEldpzMqdUn3gu0dnlWjdQ4xLCni8+dK3r4fr3yjJ3zpupzrmnstOM4zYeb046TOa7EjpM5rsSOkzmuxI6TOa7EjpM5rsSOkzmuxI6TOa7EjpM5rsSOkzn/D9dnZHfS/i/eAAAAAElFTkSuQmCC\n", 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" ] @@ -2109,13 +2080,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#2 Train loss: 165.3471Loss: 159.078812 \n", - "#2 Test loss: 162.4703\n" + "#2 Train loss: 164.9159Loss: 165.298172 \n", + "#2 Test loss: 162.6099\n" ] }, { "data": { - "image/png": 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\n", 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" ] @@ -2141,13 +2112,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#3 Train loss: 161.1011Loss: 166.193680 \n", - "#3 Test loss: 159.6086\n" + "#3 Train loss: 160.8802Loss: 160.825912 \n", + "#3 Test loss: 159.6439\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -2173,13 +2144,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#4 Train loss: 158.4368Loss: 160.218277 \n", - "#4 Test loss: 157.2327\n" + "#4 Train loss: 158.6603Loss: 165.085571 \n", + "#4 Test loss: 157.6968\n" ] }, { "data": { - "image/png": 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+ "image/png": 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" ] @@ -2205,13 +2176,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#5 Train loss: 156.4169Loss: 162.402023 \n", - "#5 Test loss: 155.4230\n" + "#5 Train loss: 156.9428Loss: 155.535614 \n", + "#5 Test loss: 156.6541\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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" ] @@ -2237,13 +2208,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#6 Train loss: 154.8036Loss: 160.187424 \n", - "#6 Test loss: 154.0960\n" + "#6 Train loss: 155.5935Loss: 159.799789 \n", + "#6 Test loss: 155.2900\n" ] }, { "data": { - "image/png": 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\n", 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" ] @@ -2269,13 +2240,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#7 Train loss: 153.5332Loss: 150.554871 \n", - "#7 Test loss: 153.3589\n" + "#7 Train loss: 154.3589Loss: 160.627106 \n", + "#7 Test loss: 154.0118\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2301,13 +2272,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#8 Train loss: 152.3380Loss: 156.691360 \n", - "#8 Test loss: 152.5642\n" + "#8 Train loss: 153.3200Loss: 155.318451 \n", + "#8 Test loss: 153.3081\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -2333,13 +2304,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#9 Train loss: 151.4558Loss: 157.502274 \n", - "#9 Test loss: 151.7680\n" + "#9 Train loss: 152.3311Loss: 150.557312 \n", + "#9 Test loss: 152.4236\n" ] }, { "data": { - "image/png": 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+ "image/png": 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iIQpHQixE4bTNxeRpspdjhIu4KZk/Ny7fi8d6t1GcnhfdUT4KR5yuFzdY81Mt43WaXFXRHaVol/3jlx8ec8wxHWxJRU9PT6eb0Ih6YiEKR0IsROF0RJ2OaqRfmRJVzhgNw7uRYiC6uKrJq9DxunE1jFfbogrnZ2jFNkWXmHdHxagUcVWTV8V35UB54oOhnliIwpEQC1E4EmIhCqdtNnGTa8jno90YNzPzG4dPmDAhK4uuIT99MtqcMRLlcccd10pPnz49K4t2uZ+yuWbNmqzMT9GLdnes0//Wdm2eLYZP3Ej8qaeeaqXjeEknUE8sROFIiIUoHAmxEIXTFdMum6JaNPlW4zLAaHP65YUxKmVctujtXh8tAuCVV17J8t5O95E6IbeJ41TPOC3U/xbtANG9xPEKPw1zxowZWdmtt97aljZ51BMLUTgSYiEKpyMupuju8epKk/sJcvU6riDyG6hBrm7HKBvRdbV48eJWOqraTfsMx+D2PhKF32cXto9S4tVtqc/dS3QxHnrooa30/Pnz292c7VBPLEThSIiFKBwJsRCFY8OxxcxsVAy3ps22o907HLeMP7bpOv3lPXH6pLenowusKSB8tJG9y+mD2MQppRELETJa91h8YBallE7rr0A9sRCFIyEWonAkxEIUTkemXUa8PdgUCbNTNPmqm46NbVcIHjEaqCcWonAkxEIUTleo091O077Cgx0rxGijnliIwpEQC1E4EmIhCme4NnEPsHQ0GlISXWb3fmiEr6d73J0MeJ+HNXdaCNF9SJ0WonAkxEIUjoRYiMKREAtROBJiIQpHQixE4UiIhSgcCbEQhSMhFqJw/h/i34Wfv7nHDwAAAABJRU5ErkJggg==\n", 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" ] @@ -2365,13 +2336,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#10 Train loss: 150.6231Loss: 138.709717 \n", - "#10 Test loss: 151.4620\n" + "#10 Train loss: 151.5430Loss: 149.409073 \n", + "#10 Test loss: 151.9912\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -2407,11 +2378,11 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:33.371324Z", - "start_time": "2020-10-16T07:42:33.369259Z" + "end_time": "2020-10-16T23:44:32.346459Z", + "start_time": "2020-10-16T23:44:32.342208Z" } }, "outputs": [], @@ -2421,11 +2392,11 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:33.427035Z", - "start_time": "2020-10-16T07:42:33.372553Z" + "end_time": "2020-10-16T23:44:32.361015Z", + "start_time": "2020-10-16T23:44:32.349191Z" } }, "outputs": [], @@ -2436,11 +2407,11 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:33.509724Z", - "start_time": "2020-10-16T07:42:33.428270Z" + "end_time": "2020-10-16T23:44:32.384137Z", + "start_time": "2020-10-16T23:44:32.363783Z" } }, "outputs": [], @@ -2459,17 +2430,17 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:33.649013Z", - "start_time": "2020-10-16T07:42:33.510986Z" + "end_time": "2020-10-16T23:44:32.515658Z", + "start_time": "2020-10-16T23:44:32.386435Z" } }, "outputs": [ { "data": { - "image/png": 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HRixE4siIhUicqoiJi1BcKUQxmomFSBwZsRCJIyMWInFkxEIkjoxYiMSREQuROC1NMdUD2NzkUaKSDC3z+fSMq5NGn3OL2vMIIaoPudNCJI6MWIjEkRELkTgyYiESR0YsROLIiIVIHBmxEIkjIxYicWTEQiTO/wEF0jELka/JvwAAAABJRU5ErkJggg==\n", + "image/png": 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" ] @@ -2492,43 +2463,17 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 36, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:34.188540Z", - "start_time": "2020-10-16T07:42:33.650300Z" + "end_time": "2020-10-16T23:44:33.683607Z", + "start_time": "2020-10-16T23:44:32.517841Z" } }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 1\n", - "[False True False False False False True False False False] (10, 2)\n", - "1 0\n", - "[False False False True False False False False False True] (10, 2)\n", - "2 4\n", - "[False False False False False False False False False False] (10, 2)\n", - "3 7\n", - "[False False False False False False False False True False] (10, 2)\n", - "4 3\n", - "[False False False False False False False False False False] (10, 2)\n", - "5 5\n", - "[ True False False False False False False False False False] (10, 2)\n", - "6 8\n", - "[False False False False True False False False False False] (10, 2)\n", - "7 9\n", - "[False False False False False True False False False False] (10, 2)\n", - "8 2\n", - "[False False False False False False False True False False] (10, 2)\n", - "9 6\n", - "[False False True False False False False False False False] (10, 2)\n" - ] - }, { "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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" ] @@ -2574,11 +2519,11 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 37, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:34.191908Z", - "start_time": "2020-10-16T07:42:34.189880Z" + "end_time": "2020-10-16T23:44:33.688869Z", + "start_time": "2020-10-16T23:44:33.685836Z" } }, "outputs": [], @@ -2643,11 +2588,11 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 38, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:34.666088Z", - "start_time": "2020-10-16T07:42:34.193197Z" + "end_time": "2020-10-16T23:44:34.228290Z", + "start_time": "2020-10-16T23:44:33.690950Z" }, "lines_to_next_cell": 0 }, @@ -2656,13 +2601,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "img_loss=108.35, random_loss=1880.14\n", + "img_loss=109.65, random_loss=2056.27\n", "anomoly detected=True\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2675,16 +2620,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 39, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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9+SledtllgTZq1Chq++CDDwYaS1c+5ZRT6P6Me+65h+osuNqnTx9q27p160B76KGHqO0BBxwQaLNnz6a28+bNC7Qrr7yS2rJU7L333pvaFgevZ86cSe2qQ1Xndl3B0uMbN25MbZs3bx5oW265JbX90Y9+FGisbjvAyzx06NCB2rKxsaDgxx9/TPdnn+HUqVOpLQt4Ll68mNqyMgus/j0ArFixItBiAU8W3Cxnin5trEI52N35Mg4h0kZzW6zX6BaKEEIkSk0duAMYZ2ZvmNmA2hiQEOsJmttivaemt1D2dfePzGxLAOPN7H/d/flCg3zyDwDiSQVCrIdUaW4LUR/U6Arc3T/K/10M4CEAexKbke7e0917NmnSpCaHE6JsVHVul3t8QgA1uAI3s6YANnD3lfn/DwVw1dr2adasWZAWzaLhAE9Zf//996ntbrvtFmix9Pg777wz0GId7F988cVAi0Wjr7322kBjKyoA3qiBNav45z//SfdnnHDCCVT/4IMPAo2l8gO8rAHrMg7wkgSxlTDjxo0LtOOPP57annbaaYE2YsQIalv8GrFmG1WlOnO7rmBp87FVKGwVUWy1CFtFxDQA6Ny5c6CxFS8Ab77AvouxFRns3Lbffntqy5qzTJs2jdpWpcxCTVPpy1nSoSa3UFoDeChf5rQhgHvd/YlaGZUQ9YvmtkiCajtwd58JYJdaHIsQ6wWa2yIVtIxQCCESRQ5cCCESpaz1wBcsWBCkvT/xBL+1OGfOnEAbMmQItWXp3lOmTKG2b7/9dqCxbuwAsN9++wUaqz0O8IBn7969qS0Lbl566aWBNmvWLLo/Kz+wxx57UNvRo0cHGkvbB3jN5Fi9dhbEbNWqFbVlgWN2LAC46qowVrjXXntR2+HDh1faPvfcc6ldyrAgZqyWOlumGytVwd7TXXbhd41YYDGWsj59+vRAY/M4FkjfcMPQJcUCnj/4wQ8CLRbwZK8RW5DAxrZ69WpqywKe5URX4EIIkShy4EIIkShy4EIIkShy4EIIkShy4EIIkShlXYWy6aab4tBDD62kse7zAPCHP/wh0B5++GFqyxoGtGvXjtqyNNfY6hbWFX7jjTemtiyN/MMPP6S2DzzwQKDdeuutgcY6tAO80cT1119PbVk6fmzVDSv+379/f2rLOpUzDQAef/zxQGOlEgDgpz/9aaDttNNO1La4WQUr8J86bFVGbA6yz4+l1wM8xT62KoOtLHn11Vep7YwZMwKNNU5gjSoAoGnTpoG26aabUlv23sTqLbVt2zbQFi5cSG2XLVsWaLFVM7HzKBe6AhdCiESRAxdCiESRAxdCiESRAxdCiEQpaxBzgw02wCabbFJJY93cAWDMmDGB1qtXL2rLgnIsBRngwcJYOixLDR84cCC1ZUGhnXfemdqyFOAJEyYEGgvoxBg2bBjVWb31zTbbrGTbWHr8VlttFWgdO3aktkOHDi1JA4D9998/0GKBouKAZ6z0QMqwc491tmKBupYtW1JbVs6BLQYAeP36yZMnU1v2Guz7FQvEsnOLzUEW3Ix974v9DsDriQM8uNmoUSNqy44Xm6910ZVeV+BCCJEocuBCCJEocuBCCJEocuBCCJEo63TgZna7mS02s/cKtM3NbLyZzcj/5VExIdZjNLdF6pSyCmU0gJsBFC4LGQRggrsPM7NB+TZfTlJAmzZtMHjw4EpabGUJa4Zw5plnUts+ffoEWiyFmKXHd+nShdqy6DdLswUQNKoA4h3BZ86cGWhXXnlloBWXHVgbscYY7Fjvv/8+tX3llVcCjTWqAICnn3460D755BNqe8IJJwRaLKrPUrFjqdSXXHJJpW1WNmAdjEYtze26gnU9jzV0YKnlTAN4enusoztrgrJgwQJqy74f7LOOjYut6mANJQCgRYsWgRZbdcOOF/sub7755oH28ccfl/y6VelgX1PWeQXu7s8DKG7L0hdARZuVOwEcXbvDEqLu0dwWqVPde+Ct3X0hAOT/hlV0hEgTzW2RDHUexDSzAWY2ycwmffrpp3V9OCHKRuHcru+xiO8n1XXgi8ysDQDk//IOpwDcfaS793T3nrFmukKsR1RrbpdtdEIUUN1U+kcBnApgWP7vI6Xs9N577wXp2rE0WRZg6Nq1K7VldbfPOOMMatupU6dAi6XUsnThWJCEdYVn6fExnf06mTJlCt2fMXXqVKq/9NJLgXbcccdRW5YKHysHcMcddwTaYYcdRm1Z+YFY2v2zzz4baMXd5ysoDl7XUj3was3tuqIq9aaZbSx9m3WVX7lyJbVlNfRjsDINLOjKSjEAQOfOnQMttiBhiy22CDSWMg8An3/+OdUZrBwAq7UO8JIEsdIcseBmTShlGeFYAC8D6Gxm883sTGSTu5eZzQDQK98WIik0t0XqrPMK3N3DNWAZYesUIRJCc1ukjjIxhRAiUeTAhRAiUeTAhRAiUcra0GGTTTZBt27dKmmxdPHzzz8/0GIrLViUPBYJvummm0raH+AF8pcsWUJt27VrF2ixFHA2Ntb5m6XXA8CJJ54YaLFmBqzL+1//+ldqy1LpWZQd4Cn2c+bMobYsDTnWlOC+++4LNJb2DYSrdGJj/b4QK0/AYHM+toKDrdKKNWRgzUpYyjtbDQbwshax0gGs4UnMdunS4oTbqn3vY13p2cqdr776itqy731N0+t1BS6EEIkiBy6EEIkiBy6EEIkiBy6EEIlS1iDm119/jdmzZ1fSYsE3VrN6p512orY/+9nPAi2WSs/S40eMGEFtWVAulm584IEHBlostfyKK64ItLPOOivQLr30Uro/g6W2A8C+++4baMceeyy1ZanJsVIHLL35kEMOobbPPfdcoMVSk+++++5Au/rqq6nt66+/Xmk7FrhOGRbkiqVks/NfsWIFtWVByNhnwoJysQA909kcYqUnAB4EjQUbYwFLBguax863eKEFADRp0oTarl69OtBYwBTgQXYFMYUQ4nuKHLgQQiSKHLgQQiSKHLgQQiRKWYOYTZs2DYIXEydOpLYLFy4MtB49elDbgw46KNCGDh1KbVnjXRYEBYAjjzwy0HbbbTdqu/feewfab37zG2r7j3/8I9BY0JZld8ZYtGgR1UeOHBlosRrfu+++e6Btt9121JadQyyrlmX4XXYZ7xPMGuiy+sxAWFedZZ2mDqvnzQJnAK/xHQtisiA0CyACvMlvLIDIgn2skUss4MyCerFa3iy4WpVs3Fit9e233z7Qtt56a2rLxssaiQN8vLEMz1gd92J0BS6EEIkiBy6EEIkiBy6EEIkiBy6EEIlSSk/M281ssZm9V6ANMbMFZvZ2/gijfUKs52hui9SxdUU7zewAAKsAjHH3brk2BMAqd7+uKgfr2bOnT5o0qZpDFWLt9OzZE5MmTSq5jXttzm0zK23ZQBVp3LhxoMU6unfv3j3QYiuOtt1220Bjq00AXj7is88+o7YsZZ3V7e7QoQPdn/mjuXPnUltWUiC2uoWthGKlIwCgffv2gRZbsfLaa68F2q233kptWT+DZcuWUVt2Hu4eDGKdV+Du/jwAntwvRMJobovUqck98HPN7N38Z+hmtTYiIeofzW2RBNV14H8B8CMAPQAsBPDHmKGZDTCzSWY2iSXRCLGeUa25XaaxCVGJajlwd1/k7mvc/TsAowDsuRbbke7e0917xu45CbG+UN25Xb4RCvEfqpVKb2Zt3L0i1/0YAO+tzb6CNWvWBKm9sTR2ln7LGh0DwMknnxxoxWnWFbAGu6eeeiq1ZcGiWKDn17/+daAdffTR1PbnP/95oLHgT79+/ej+ffr0CbTHH3+c2j700EOBNmTIEGrL0vlZk2EA2HPP0K+99dZb1HbMmDGBFquVfs455wRaLCjUs2dlvxkrJ1AVqju3a8oGG/BrqVjwjPHFF18EWqx+fSRIVvLYYjXJ2RhYuvlHH31E92dBvZgtq2kea+zM6pSzYGXMNhYcZd/bWHNoFpCuyufLWKcDN7OxAA4C0MrM5gMYDOAgM+sBwAHMBhB6LyHWczS3Reqs04G7+wlEvq0OxiJEWdHcFqmjTEwhhEgUOXAhhEgUOXAhhEiUsjZ0+PDDD4OVFbGVGuedd16g3XXXXdT2zjvvDLRYR/d99tkn0K699lpqy15j2rRp1JY1dPiv//ovart8+fKStNix2CqUcePGUVu2WuC663iWOGuyEOuw/cILLwTajjvuSG3ZSqNYU4IDDzww0GINHYqbEsSi/ykQW40QW1XBYKtFWBo7ULUVVmx1T2zVzNdffx1o7LNmq1UAYNasWVRnsJVqm23G865Ys4rYe8tW48RW3VRlFQl7jdjrloquwIUQIlHkwIUQIlHkwIUQIlHkwIUQIlHKGsRs1aoVTjvttEran//8Z2rL0mePOOIIasvSWVlqOwB07do10FjAFADmzJkTaLGUWhZInThxIrUdPXp0oLHu77Fu3BdffHGgsY7XADBw4MBAi5UOYJ3mH3vsMWrL3psNN+TTacGCBYFWnAZfAUubv+eee6jt66+/Xmk79tmkQCwoyPSYLesUH6s/tOWWWwZarCs96/Qe63Zfalf4WD1xlh7fvHlzasuCrjHbVq1aBVrLli2pLZvHsaArC7DHvotML7X7fAxdgQshRKLIgQshRKLIgQshRKLIgQshRKLIgQshRKKUdRVKo0aNgshvLN2c6bHIN1sBworIA8DNN98caHvttRe17dSpU6B16dKF2v7pT38KtB122IHaXnPNNYHG0oJjUXJG7Bz69+8faLHINytV0LdvX2p7ySWXBNqgQYOo7YwZMwLt3HPPpbaHHnpooA0YMIDaFpdAOOOMM6hdClRlNQJrDADw1PDYyiC2IoKt1ACANm3aBBpb+QXwtHm2MiW2CoV9x2PfAzaG2HvDVuPEVszMnj070KZPn05t33jjjUCbOXMmtY2tTqkJugIXQohEkQMXQohEkQMXQohEWacDN7P2ZvaMmU01sylmdkGub25m481sRv4vr+MoxHqK5rZInVKCmN8CuNjd3zSz5gDeMLPxAE4DMMHdh5nZIACDAIQFpQtYunQp7r333kraE088QW3ffffdQLvooouoLQu0vfjii9T2lVdeCbQLL7yQ2haPFQB69+5NbVnaOwveAbx8wPjx40ven8HeL4Cf7+WXX05tWQCRBXIB4JNPPgk09n4BvM74FVdcQW1PP/30QBs7diy1fe655yptl5rGXUCtze1ywmpux2C1vAEeNI/VU2dd2rfffntqy4Kmq1atCrTYOaxcuTLQYiUSWOA3ZsuOt2TJEmo7f/78QHvzzTepLdPZOQA1r/3NWOcVuLsvdPc38/+vBDAVQDsAfQFULP+4E8DRtT46IeoQzW2ROlW6B25mHQHsCuBVAK3dfSGQfREAhNVxhEgEzW2RIiWvAzezZgAeADDQ3VeU2krIzAYAGADEq50JUZ/UxtwWoj4o6QrczDZCNsHvcfcHc3mRmbXJn28DYDHb191HuntPd++Zcs9C0TCprbldntEKUZlSVqEYgNsATHX36wueehRARWHpUwE8UvvDE6Lu0NwWqVPKLZR9AZwCYLKZvZ1rlwMYBuB+MzsTwFwAP1/XCy1duhR///vfK2m9evWitux2SyxV+5xzzgm04cOHU1vWOT3WOKFJkyaBttNOO1HbHj16BFrs3J566qlA22OPPQKNNbWIEUul32effQJt+fLl1JatLImlBV9wwQWBdv311xNL3ohj0qRJ1PbBBx8MtOLGDRUUp37H0sbXQq3N7ZoSS6VnJSFYujoAfPrpp4EW+/xipSYYrAlKrKkES2VnqfCxlRpr1qwpeVzsfBcuXEht2fHmzp1LbadMmRJo06ZNo7bsOxNLmWefcU0bOqxzxrv7RACxm4I/rdHRhahHNLdF6igTUwghEkUOXAghEkUOXAghEqWs9cCbNGmCzp07V9IOOOAAanv33XcHGgtAAjwYEes0z9JkWU3f2PGKx19Bt27dAi3WeX2rrbYKtJNOOinQWN3wGDfccAPVWZf3wYMHU9vrrrsu0FiQBuAB5Y4dO1JbVhf9+OOPp7aMWBDztddeq7QdC2ClQCyoyNKvY0Ey9lnFgo1VCZ4x21iKPoONN9blvWnTpoEWS0Fn32XWJR7IFlAUEwtizpo1K9BigX92brF0/qoEjktFV+BCCJEocuBCCJEocuBCCJEocuBCCJEocuBCCJEoVtNUzqrQtm1bL+4wvmzZMmrLVqfEVmUw21j3ePYaseYCbdu2DbT777+f2r7wwguB9tZbb1Fblt6+2WZh05dYh23WBCMWqR81alSgxYrTn3322YE2dOhQasuaPxx++OHUlpUUiBXTf/vttwPtsMMOo7ZTp06ttL3HHntg0qRJpZUSrGXMrEZfpFgFRLaKZKONNqK2rFhcrHs801njBgBo0aJFya9b6rg23njjkscVW3XDusfHyk+wVSixkgTseLEUf/a9i/nUmvpadw8mia7AhRAiUeTAhRAiUeTAhRAiUeTAhRAiUcoaxNxmm2380ksvraSx+s8AMH369EDbeeedqS0LLN50003U9tFHHw20559/ntqyztuxTvG77757oMXqU++6666Bxrq/syANAIwYMaLkcZ144omB1qhRI2pbXF8b4GnwADB58uRAi9VMZkHb3XbbjdqyIBYLmALA+eefX2n75ZdfxmeffZZkEHMtr1uSFtNjnzULjsZsmR6b22wM7Fi14Xe+/PLLQIt1u2dByKqMIfae10WN7xgKYgohRANCDlwIIRJFDlwIIRKllKbG7c3sGTObamZTzOyCXB9iZgvM7O38cWTdD1eI2kNzW6ROKfXAvwVwsbu/aWbNAbxhZuPz5/7k7mERaSHSQHNbJE2VV6GY2SMAbkbW0XtVVSZ548aNfYsttqikxYrwn3HGGSWPKdbhmsEaHFx22WXU9sorrwy02IoItpKlb9++1HbfffcNtKOOOirQYs0uWPT96aefprbs82XNIwDeaOLhhx+mth9++GGgxdKYWffw0aNHU1vWXIOtHAKABQsWVNq+5pprMHfu3GqvQqnJ3K6rVSjlJLbSglEbKzjq4lgNmRqvQjGzjgB2BfBqLp1rZu+a2e1mFhbzECIRNLdFipTswM2sGYAHAAx09xUA/gLgRwB6AFgI4I+R/QaY2SQzm1QXLYWEqCm1MbfLNVYhCinJgZvZRsgm+D3u/iAAuPsid1/j7t8BGAVgT7avu490957u3jPWn0+I+qK25nb5RizEfyhlFYoBuA3AVHe/vkBvU2B2DID3an94QtQdmtsidUpZhbIvgFMATDazt3PtcgAnmFkPAA5gNoBfr+uFunfvjpdeeqmSFusMPXPmzEBjdYkB3ik+ltb9q1/9KtBuueUWastqh8cCKh06dAi0X/ziF9S2e/fugdamTZtAu/jii+n+jGeffZbql19+eaANHDiQ2vbp0yfQYunVrP557BdW165dA+3dd9+ltuedd16gsXIAANC7d+9K23fccQe1Wwu1NrcbAnWYAl4nrytKcODuPhEACyM/VvvDEaJ8aG6L1NFNaSGESBQ5cCGESBQ5cCGESBQ5cCGESJRSVqHUGitWrMCECRMqacWp9RWwlPXbbruN2l544YWB1q9fP2rLmjQ0adKE2rLVE08++SS1PfXUUwNt3Lhx1LZ///6BNmzYsEBjqe0x5s2bR3XWFGKXXXahto89FsbuWKMJgHf0vvHGG6ntcccdF2g/+clPqG2XLl0CrW3bttT2gQceqLS9bNkyaidEQ0VX4EIIkShy4EIIkShy4EIIkShy4EIIkShl7UpvZp8AmJNvtgKwpGwHLx86r/qjg7vzqHgdUzC3U3ifqktDPbcUzovO7bI68EoHNpvUEKu46by+3zTk96mhnlvK56VbKEIIkShy4EIIkSj16cBH1uOx6xKd1/ebhvw+NdRzS/a86u0euBBCiJqhWyhCCJEoZXfgZna4mU0zsw/MbFC5j1+b5B3LF5vZewXa5mY23sxm5P8m19HczNqb2TNmNtXMppjZBbme/LnVJQ1lbmtep3NuZXXgZtYIwHAARwDYEVnrqh3LOYZaZjSAw4u0QQAmuPsOACbk26nxLYCL3b0rgL0B/N/8c2oI51YnNLC5PRqa10lQ7ivwPQF84O4z3f1rAPcB6FvmMdQa7v48gKVFcl8Ad+b/vxPA0eUcU23g7gvd/c38/ysBTAXQDg3g3OqQBjO3Na/TObdyO/B2AArrns7PtYZEa3dfCGQTBsCW9TyeGmFmHQHsCuBVNLBzq2Ua+txuUJ99Q5nX5XbgrIGslsGsp5hZMwAPABjo7ivqezzrOZrbidCQ5nW5Hfh8AO0LtrcG8FGZx1DXLDKzNgCQ/7u4nsdTLcxsI2ST/B53fzCXG8S51RENfW43iM++oc3rcjvw1wHsYGbbmlljAMcDeLTMY6hrHgVQ0Z7nVACP1ONYqoWZGYDbAEx19+sLnkr+3OqQhj63k//sG+K8Lnsij5kdCeAGAI0A3O7uV5d1ALWImY0FcBCyamaLAAwG8DCA+wFsA2AugJ+7e3FAaL3GzPYD8AKAyQC+y+XLkd0vTPrc6pKGMrc1r9M5N2ViCiFEoigTUwghEkUOXAghEkUOXAghEkUOXAghEkUOXAghEkUOXAghEkUOXAghEkUOXAghEuX/A0rYSzOIShfTAAAAAElFTkSuQmCC\n", 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" ] @@ -2744,11 +2689,11 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 39, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:34.674103Z", - "start_time": "2020-10-16T07:42:34.667493Z" + "end_time": "2020-10-16T23:44:34.239322Z", + "start_time": "2020-10-16T23:44:34.230494Z" } }, "outputs": [], @@ -2773,17 +2718,17 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 40, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:42:35.142529Z", - "start_time": "2020-10-16T07:42:34.675345Z" + "end_time": "2020-10-16T23:44:34.773972Z", + "start_time": "2020-10-16T23:44:34.241486Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2796,16 +2741,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 41, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3029,7 +2974,17 @@ "source": [ "# (extra) Conv\n", "\n", - "Encoding and Decoding images is much easier with convolutions because they are aware that pixels are nearby. Lets try with convolutions and see if the loss is lower." + "Encoding and Decoding images is much easier with convolutions because they are aware that pixels are nearby. Lets try with convolutions and see if the loss is lower.\n", + "\n", + "For animations of what convolution layers do see the animations from [\"Vincent Dumoulin, Francesco Visin - A guide to convolution arithmetic for deep learning\"](https://github.com/vdumoulin/conv_arithmetic).\n", + "\n", + "A convolution layer, with the input below, and the output above:\n", + "\n", + "\n", + "\n", + "A transpose convolution layer:\n", + "\n", + "" ] }, { @@ -3046,11 +3001,11 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 41, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:44:31.626460Z", - "start_time": "2020-10-16T07:42:35.143896Z" + "end_time": "2020-10-16T23:47:36.247678Z", + "start_time": "2020-10-16T23:44:34.776169Z" }, "lines_to_next_cell": 0, "scrolled": true @@ -3123,7 +3078,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3134,7 +3089,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "36c224c84f4749fd9c73e58313a7157f", + "model_id": "4ad06711e7134e7bab90b3a2548395c1", "version_major": 2, "version_minor": 0 }, @@ -3163,13 +3118,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#1 Train loss: 183.1072Loss: 155.566284 \n", - "#1 Test loss: 159.3713\n" + "#1 Train loss: 186.6385Loss: 162.243759 \n", + "#1 Test loss: 159.3584\n" ] }, { "data": { - "image/png": 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\n", 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" ] @@ -3195,13 +3150,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#2 Train loss: 156.8611Loss: 153.086639 \n", - "#2 Test loss: 153.4320\n" + "#2 Train loss: 155.5095Loss: 146.780655 \n", + "#2 Test loss: 151.8759\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3227,13 +3182,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#3 Train loss: 152.7259Loss: 161.932480 \n", - "#3 Test loss: 151.8016\n" + "#3 Train loss: 150.7455Loss: 143.808258 \n", + "#3 Test loss: 149.4842\n" ] }, { "data": { - "image/png": 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+ "image/png": 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\n", 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" ] @@ -3259,13 +3214,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#4 Train loss: 150.2176Loss: 160.578033 \n", - "#4 Test loss: 149.6247\n" + "#4 Train loss: 148.1161Loss: 149.552963 \n", + "#4 Test loss: 146.7638\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3291,13 +3246,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#5 Train loss: 148.7747Loss: 140.657410 \n", - "#5 Test loss: 148.0800\n" + "#5 Train loss: 146.4101Loss: 141.986038 \n", + "#5 Test loss: 146.5572\n" ] }, { "data": { - "image/png": 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6NpKdOTV06NBCthuq2ZlTOt8OL2xvpY+uzPr16wtZrywKcO+995a97plnnonSCxcujNKvv/56Sbk9Dh48GKW1Od0IeEvsOInjSuw4ieNK7DiJc8F8YuvDVRoSOWzYsLgSyndtbxqgHp5oV7e06JU/bLhHTyeEOKSzZcuWKM9+Nn2tnXqmP1ulIZkQ7x5hh2jWaqeDRkT3D1x11VV1rEmGDTk2Gt4SO07iuBI7TuJcMHO6vdUmdH6lGTp6lBW0NYO1iWrPtXXQ+XYElN33WIeY9OgtaDtiS2PN3okTJxayHUFmR41p16DSAvXQvVbzcKrDW2LHSRxXYsdJHFdix0mcTht2aX067dtaX1an7XV2KKUOxbQXwtHhHzt0zvqyTU1NhWw3Drc+8uTJkwvZ+qpr164tZBvGquSH2++k0uqgTm2xG4m/8cYbhaxXN60X3hI7TuK4EjtO4rgSO07i1Mwn1tihinv37i17nfV79S4PetoftB26aFfu19hpgrpOdpUN6xPrtN3UTa+EaYeM2rQux8bDPS7cONj+Ez0Mc9asWVHeI488UpM6abwldpzEcSV2nMSp2YZq2ky2Zq8ecmjDMNac3rx5cyGvWbMmyrP7/+o6tDeMUV9rz7WLvu/evbuQ7Wyt5ubmQrYL49lF9bSZ1p0Wh08NO7NOL9C4cuXKWlenDd4SO07iuBI7TuK4EjtO4kg1oQwRqXnco5qN2aq5T6X8ShuQ27TN0yEn6/tbX1sPrfwgIaUQwgVbGrMez9jpEGtDCDNLZXhL7DiJ40rsOInjSuw4iVOzHSDOF+srdtZwxEo+caVzrU+sY8F2OqEPpXQ6A2+JHSdxXIkdJ3Ea3pyuFdWYuvpcN5GdeuMtseMkjiux4ySOK7HjJE61PvF+YGu7Zzm1ZPwFvp8/48ak7HOuauy04ziNh5vTjpM4rsSOkziuxI6TOK7EjpM4rsSOkziuxI6TOK7EjpM4rsSOkziuxI6TOP8P18w+flqC8AEAAAAASUVORK5CYII=\n", + "image/png": 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\n", 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" ] @@ -3323,13 +3278,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#6 Train loss: 147.5862Loss: 153.698883 \n", - "#6 Test loss: 147.1441\n" + "#6 Train loss: 145.1297Loss: 145.536865 \n", + "#6 Test loss: 145.2934\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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8bbfdFuVffvnlFtOtkW5QH5rTjYBaYiEyR0osROZIiYXInLpMRaw2xDBd4aLaiv+trSaZ+qsh4SZuKWmZb7zxRpQPN1FLd5IIfet0uGaaD//XRt9UrJaE0w8vvPDCOtakIN24r9FQSyxE5kiJhcicuoSY0nDKiRq5lJqkx2tOp7I0H5p74aJuEC/sl27Slo78CmdvaSUPcbyoJRYic6TEQmSOlFiIzGmIEFM9ykmHXYZ+ejrDKT1227ZtZTrd8G348OFlesyYMZEsnfGShsREY5JuJB7Onks3MKgHeoqEyBwpsRCZIyUWInPq4hM3OulUxHQnh6ampjId+scQ+8+tDQsVeZAOww2HYU6YMCGS3XfffTWpU4ieKiEyR0osRObInPaEIabU7E2Hc65Zs6biseGwy3CjOKg+I0s0LummBAMHDizTCxcurHV1jkEtsRCZIyUWInOkxEJkjrVnCKSZnbTz40LfNp0WmE5F7N+/f5lON+0KV+B87bXXIlkacgrDUZ9lKKpzrvKcy3ZyMt/jzFnunBvfkkAtsRCZIyUWInOkxEJkjuLEnjBOnPrE6XJC4Y4A6TTF/fv3l+l0Q7VqG2ILcbyoJRYic6TEQmSOzOkWaC3cE5rQ6eZw4blasVLUArXEQmSOlFiIzJESC5E57fWJdwAbOqIiOdFgfu/w1g9pF7rHjUnF+9yusdNCiMZD5rQQmSMlFiJzpMRCZI6UWIjMkRILkTlSYiEyR0osROZIiYXIHCmxEJnz/zJ4rwWCcJEbAAAAAElFTkSuQmCC\n", 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" ] @@ -3355,13 +3310,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#7 Train loss: 146.6282Loss: 146.798492 \n", - "#7 Test loss: 146.5478\n" + "#7 Train loss: 144.1616Loss: 136.035461 \n", + "#7 Test loss: 144.1290\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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" ] @@ -3387,13 +3342,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#8 Train loss: 145.8912Loss: 152.157364 \n", - "#8 Test loss: 145.8408\n" + "#8 Train loss: 143.2939Loss: 160.540741 \n", + "#8 Test loss: 144.2950\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3419,13 +3374,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#9 Train loss: 145.2423Loss: 141.530792 \n", - "#9 Test loss: 145.6439\n" + "#9 Train loss: 142.6042Loss: 138.190781 \n", + "#9 Test loss: 143.2040\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -3451,13 +3406,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "#10 Train loss: 144.4936Loss: 146.525223 \n", - "#10 Test loss: 145.4705\n" + "#10 Train loss: 142.0429Loss: 153.801819 \n", + "#10 Test loss: 143.3888\n" ] }, { "data": { - "image/png": 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SSy9FZYsXL47yejxj7ty5UdnChQuL9Nq1a5u1v9J4T+w4ieNC7DiJU5VNxm2oog6ltLOY7Ebd2h01aNCgqMzOPtKrYdpNpK2KrDdje+WVV6IyvRImxGGYNpxTh37qTc5tHRDPsvLN1s7z5ptvFunNmzdHZffdd1/J85555pkov2DBgij/6quvtpi+ENrUglidrgW8J3acxHEhdpzEcSF2nMRpN5vYumWsC0e7hmxYo14p45133il7Xb3puHVH6XBIgNdff71I29BJO2VM2z3WtrZTE/VUShsWqqcb2rBLa9/r36I3f4PLeyqidgeOHz++ii3JsOMptYb3xI6TOC7EjpM47aZOW5eIXfhNu1CsKqvVSqtqW9eLVsttlJN1T+lyq55aFUlHT1n3k/1tuo22TLuY7HWseq1NBfv/cpzW4j2x4ySOC7HjJI4LseMkTsVmMWnb1tqy2nbUq062hA5dtKtH2oXcy5XZGUW63M54srasDrXUK19C7Pay4XrWBab/J5dzmGWtY1eF0a5LG5JbDbwndpzEcSF2nMRxIXacxKmKTWzRPlwbdmk3Dtd2pV5hA5pP9dMbRVsbuLGxseS51ma3NpGu167OqVdYtGGWdpNxbU9bP7bbyLWDfXZ1jMGNN94YlT366KMVaZPGe2LHSRwXYsdJnIqp01qdtaqjVlesy8aGYWq2bt1atg3lFly3bbCzpTR2AzjdXnud1atXF2nrmtKLukGstts6nNrBPoN6JZrly5dXujnN8J7YcRLHhdhxEseF2HESR9riyhCRDvd7lLNNL+VYS7nF7cuV2bzdxE1Ph7SrdZRbveNSXEohhIv/RxgqcY+di+K1EMLUlgq8J3acxHEhdpzEcSF2nMSp2A4QraUttmF7hiaWu1a5MusnLucP91BKpyPwnthxEseF2HESp+bU6dSxs6Ucp6PxnthxEseF2HESx4XYcRKnrTbxAaChIxriXDSj2/l6fo9rk5L3uU2x047j1B6uTjtO4rgQO07iuBA7TuK4EDtO4rgQO07iuBA7TuK4EDtO4rgQO07iuBA7TuL8PzMnHLbChTRPAAAAAElFTkSuQmCC\n", + "image/png": 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\n", 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" ] @@ -3469,32 +3424,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", - "0 1\n", - "[ True False False True True False False False False False] (10, 2)\n", - "1 0\n", - "[False False False False False False False False False False] (10, 2)\n", - "2 4\n", - "[False False False False False True False False False False] (10, 2)\n", - "3 7\n", - "[False False False False False False False False True False] (10, 2)\n", - "4 3\n", - "[False True False False False False False False False False] (10, 2)\n", - "5 5\n", - "[False False False False False False False False False True] (10, 2)\n", - "6 8\n", - "[False False False False False False False False False False] (10, 2)\n", - "7 9\n", - "[False False True False False False False False False False] (10, 2)\n", - "8 2\n", - "[False False False False False False True True False False] (10, 2)\n", - "9 6\n", - "[False False False False False False False False False False] (10, 2)\n" + "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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6MzJI9EdzFCgYFYwUeTUajTAajexRazab2N3dZXJCpM3tdmNiYgKpVAobGxv8UNlsNszNzUGr1UKv1yObzWJlZWVsJxvyIJEnrdVqMVlvt9tMWlwuF/x+PyKRCFZWVngBsdlsCAaDTHiLxSJCoVCPPcZhsaGJ0+VyweFwQKvVMnEnz1C73YbdbofL5YLJZILFYsHW1hZu377NXliTyQSPx4NWq4VqtYpKpYKdnZ2x8SjISbtOp0MgEIDH44HVaoXFYoHNZoPVaoXZbIbFYsHu7i6azSZvgtrtNprNJsrlMtLpNAqFAra3t1Gv11EsFvl/ZM9hQE6cngS6L7PZDKPRCL/fD4/Hg6WlJczOziIQCMDv98NoNMJkMjHxKhQKSKVS2NzcRKvVQjqdRq1WQ6VSYU/0ODwXRw05QZVvmCVJ4rGnVqt5U0zjhMbKuEd26H7NZjP8fj/m5uZw+fJl5HI5bG9vY3NzEzs7O8O+zIFBrhcn8j6ua+lR4aRKZcYRQyev8gnRbDbDbDZz+K9er6PRaDBpo8mFyCstzEB3ISNyotVqOZxMMoJx8AzQ4qHRaKBWq2GxWOBwONgeREZokaD79Pl8mJqaQrVaZTJHk7DL5WIJRafTgVqt7gkPj7o9yBOi0Whgs9ngcrl6wuVyWYTD4YDb7YbVaoXD4UC9XmcSt7u7yyHkVqvFYXWyxyhrh/sTj0wmE4xGI9xuN/x+PxwOB6xWK2w2G294zGYzWq0WPyNqtRrNZhP1eh2lUonJf7lcRrVaRavVgkqlQq1W45AxMDx7POm8cm2rXq+HyWSC0+mEx+PBxMQEZmdnMTExgUAgALVazR57kheoVCqUSiXY7XbU63UYjUY0m819vUyjOCaOGv1e1n7dJ33R3EQaYvo7efjHYZ49CHQvJD3xeDyYnp6G0WhErVZDOp0+Vd7Hg8YAMJ6f7/PitN//qGEg5FWeQCLfxRsMBuh0OrzwwguYm5uD3W6HxWJBrVbr0Z7V63XU63XMzs7i7NmzHKb6wQ9+gLW1NZhMJrjdbszMzOAzn/kMms0m8vk81Go1gsEgqtUq8vk8L+bDBhFu+e9CCBiNRuj1enzqU5/CwsICh4CbzSaazSZ7WsnbEQgEMD09zfIJg8GARCIBg8HAIdPZ2Vk0m00UCgWYTCbk83nUajWUy2W0Wi00Go0hWeER1Gp1z6JApNRqtcJoNOLq1as4c+ZMjweaZAImk4nt53A44HK52B7kkSN9KxGder2ObDaLVCqFfD6PRqPBEoNRGR/yiZLIu8vlgt1ux8WLFzEzM8NEneQT5H0lskrvQZueRqOBcrmMRqMBr9eLYrEIr9eLfD6PWCzGuk8iuaMgI9gPZB96PhYXFzE5OYlz585hdnYWCwsLCAaD7KGm54VkRSaTCS6XC8FgELVaDW63G0II7OzssA12d3fHVgN8WNCmCHjkTNBoND2baYPBwN/pOSJPPj0zFBUa1XHzJKjVauj1egSDQfzoj/4o5ufncenSJaytrSEcDrMT4DSMCeDR506fJ40TimSdFiiSif0xbC/0wMir/GdafHQ6HQwGA6ampnD27Fn2GuXzeZRKJV6A6/U6qtUqlpeXcfXqVZRKJeRyOTidTn7ASNs2MTGBarXKySi0mNdqNV7IR2HyoXAc0JtwYjQaMT09jQsXLjBpIe8YeWApNBcMBnHmzBmUSiVkMhm4XC5YLBbY7XYEAgE4nU74fD7UajUAYE+kSqViL1Oz2Ry6PeQJIAA4O5ySbhYWFnD58mVeEGnBtFgssFgsvNiSx7VWq6FYLKJer8Pv9wN45GHtdDocGm42mxxOpgl52A8k8EnPF8loSMs5NzeH5eVlWCwWGI3GHk+9xWJhLzttdur1Omq1Gnvl9Xo9J3cRCaTnQq/XQ5IkXpxGkYSQbXQ6HYxGI1wuFyYmJjA9PY3Z2VlMTk7C5/Mx0aDoDYFICm166/U6nE4nzzmjeM9HDfmCLE90BbqkhbTyQHfzZDKZ2N4kG2i1WqjX6zzGRmU+eVbQfdntdkxNTcHv93Piljy5c1zv77CQf87yhL3Tcv9yjMK6MEoYBS/0QMgrhZcodEfeIqPRCIPBAIfDAbvdDq1Wi06nA5PJxN4k0lZJkgSbzYZMJoNUKoVoNIpYLIZarcbhHa/XC6PR2JN57vV6WXhfLBbx8OFD1tEOG0ROHQ4HTCYTywAcDgeTblpInE4neySJlJCXmrKmd3Z2sLOzw+9JYVS5ji8YDKJer8Pr9aJUKmF9fZ2Tl4YBeQII2YM+M4vF0vMZyj349FoK8xkMBqjVajQaDZRKJaTTaWxvb2N1dRVer5c9tyaTCZVKhUPsrVYLlUoFqVQK5XIZ0Wi0JwlwWPagzYxWq8Xk5CQcDgempqbg8XgwNzeHiYkJvm96ViiyIJfZyDd/QJeY0HPXbrcxPT2NYrGIQCCAWCyGTqeDXC6HUCiEZrPZozUfBdA8otVqEQgE4PV6cenSJVy4cIGlAna7HQaDAY1Gg3W8uVyOnxvyJFUqFfa408bRaDTyJveketnkulXyqMrnWfLia7Vajl44nU4msTQv0QawUqkgFAqhXC5je3sbjUYDlUplLHTkcrhcLszNzeHMmTOYm5uDwWBAJpNBKBTCBx98gHg8Pnb39DywWCzsDCqXy6jX6yiXy6fKBsCjqj0nKTHxeSFPfh4WlxqY55VCdkS6KORLhMJgMPDxOp2OQ1MUpiJtIz1I+XwelUqFw4GU6CUnQiaTiQkKyRXUanWPF2YYIHJC2k0iarQom81m6PX6Hs+bXHNEWeZE1oicVCoVLoFERJg8aWazGbu7u3C5XGg0Gux1I0/TMCck+lyIhLndbk68MhgMMJvN0Ol0PckD5C1ttVq8+MrLY9VqNZRKJWSzWX49ZaKTN0EIAb/fj1KpxJ5GeUWHQWK/6ASRC4oqUIKW0+mExWJhsk/PEZGxVqvVE2Ege5BWUa1W9yQwmc1mPr/X64UQAvF4nJ+ZUdjoyUHjhTTdExMTmJqags/ng9Pp5GcD6HqOaUND5JVA5JwkTFS5QS65OEmQ61ZpnpHPO0B3UTYYDLDZbDAYDLDb7TAajfB4PJyFLy+d1Gw2USqV2L6pVKqnusc4LfK0UXa73bDb7eh0OiiXy8hms4jFYigUCmN1P88DIQRLbDqdDm8Exzkh73lA433cxvRxYRTmx2MnryqVCoFAAFarFfPz83C73T2eJJfLxZ7QfoPQxEgaNPIYqFQqnDlzBoVCAZOTk+h0Orh16xZSqRQkScLk5CRef/11VKtVbG1tYXt7G++88w6y2exIkLRgMAibzYaJiQk4HA7Mzc3B7XbD5/PBZrOxx6dfKN+fwEZeWACcrOTz+dBut3H79m34fD60Wi34fD68/PLLqNVqmJubQywWw/e+9z3U6/WeTNJBgz7PQCAAm82GqakpOBwOLC8vw+/3w+12w2w2o9FoIJvNsieSxkCtVuMEIyKjBCIqarUa+XweN2/eZA2w1WrFhQsXUK1WMTk5iWg0ilKphHq9zh6oQWtf6fOmjZher8fMzAycTidefvllzMzMYGJiAk6nk+1Qq9XQaDRYZkGbl2azyVIR4BEhJzkFEV6n04mZmRn27prNZmi1WkSjUbZ5vV4fmZJz8moLRLBsNhsCgQBmZmbYW9hsNlGtVpFOp5FOpzlaI49ckKc+EAggEAhgeXkZP/zhD3Hjxg3s7u5yeHQcFyt6Pmgekdf+1el0mJ6exszMDObm5nDu3DlUKhUUCgXeKBJoc6vT6WC1Wpm8AmDPdSQSgRACFosFzWaTif9+Hc1GFTS/+nw+XL58GTMzM9DpdIjFYnjw4AHu37+PdDqNer0+FvfzvKDPr9PpsLc1m82OjORu0JDXix+XMX3cGAUJzbGSV3oIKMt7cXERU1NTCAaDcLvdWFxchM/nw+rqKmKx2CcyfGlxrtVqnEmv0Whgt9vhdDpZI1uv1xGPxwEAHo8HHo8Hs7OzaDQa7GUjD+UwjU2LgcPhgNfrxcLCAjweD86cOQOfz8dJOGtra+z5kpNYSqQhexAZJp0rSSVarRaXgHI6nXA4HJicnGSPq1y/NcwdFNmDSlwFg0F4vV6cPXuWdYsWiwX379/H9vY2l+aRk1cibORZJPInX4RrtRpisRiazWaPJ6nVasFkMvUs8BqNhonwMLyv5PGgpDu/34/Z2VksLi7C7/fDZrOhXq+z7rdUKnEYt1qtolqtcoIjgUhLsVhEMplkD2y73cbExASTE9oIqdVquN1urtYxKp5Xmk/I024wGFgX7XA4WJZEpdDy+TySySRyuRwymUyPHMNsNvPrDAYDrFYrotEob45GwbNwWMg1rHQPJAOgKi4GgwHT09NYXl7GCy+8gJdffhnZbBbxeJw3NDRfUiSDPHAUvaDNHdmXNNlUc7o/M33UIV+nyLGiVqtRrVYRiUSQTCZRqVSGHrEbFOSbD5IiVavVU0va5HKBcRnTx41hE1fgmMkrTaKUfHPlyhVcvnyZQ1KSJCGXy2F1dRUrKytIJpPIZrNMUt1uNzweD4rFIgqFAmdCkxzg4cOHiMfjnH2+u7vLZGZhYYGrGeh0OrjdbnQ6HWQyGZ6YB2l8IiU6nQ4WiwUulwuf/vSncfbsWTidTtbqFotFbG1tYXV1FclkEul0muUQpIUtFotcLaDdbnMiBdUhpIeNdszZbBYTExNc/9RsNiMQCEClUiGVSqFarQ4l0YI8aJRsQxm+Xq8XVqsVu7u7qNVqSKVSiEQiyOVyqFQq7D2jklHlchnFYpHvm8ZcIpFgz5BarUY6nUY8Hsf8/DwX9CdtcDAYhEajQTQaZTnGoO1B102JIi+++CJmZmbYJlTzl+qRhsNhhMPhnolECMESEgKRNvKiaLVaHm9UYmtiYgJqtRo+nw+7u7tYWFiAXq9HKBQamUQcmhdI63rlyhWcP38ec3NznKjWbre5CcHa2hpWV1d5TqCFh/T2fr+fE5OoVu78/DxSqRR7nEe56kI/5Bp6s9nMG9SZmRlMT0/zxt7r9cLn87ETwWKxwOPx9HSmU6lUrBXW6/UAwA4Aql6SzWbx8OFDFAoFDqtXKhXU6/WxCi8bjUZYLBZMT0/j3LlzMBqNaDQayGQyuH//PmKxWE/S0kkH2cNoNA4tKjdKkCcUj8uYPg04VvJKizGRlJmZGVy4cIG9AolEAsViEYlEAuFwGKurq4hGo5yotbS0BK1Wi3w+j0wmwyWeSCcbiURQKBT4fI1GA8VikQvUO51OTE5Oco3QarXK2shBQq41I++FxWLB3Nwczp8/z+Q0mUxy5YBYLIb19XVsbW1xyC8YDCIYDKJYLHKJJ8r21Wg02NnZYRIHdPXBuVwORqMR29vbPaWVqA6qTqcbSpY9kXm6Fq/Xi8XFRZw7d46TSFKpFCqVCmtXI5EI4vE4a6e9Xi+XfKLNDd2LEAK5XA7ZbJbJG5EaIQSSySTcbje8Xi+XTqrVapx5P4wdtrxqgtfrxfT0NObm5uDxeGCz2VjLSVrDbDaL7e1tlpGQZrhcLqNcLvP70qJLxESn03FUIp1OQ5IkeDwe9mSSxpYqXFBlimFP3OR1tdvt8Hg8mJmZwcLCAlwuF/R6PW9K6/U6ewUpgYjqIwOPyCuVTTMajfx3t9uNZrPJ8pFxya7uD/E7HA4A3cWWkpCmpqZ4E2s2m+HxeDhJjdqgkq6TKlOQx5E0+OTVT6VSyGQyiMfjKJVKnIPQaDTGrswY2YwiHVRarVQqIZlMIp/Pn9jkvf1ADhbSQZ92b2N/wtZpGQePg1zTfqKqDRAp+dEf/VFMTk4iGAzC6XRiYmICKpWKF5Pr169jZWUFd+7cYc9ao9Hg2qMajQa1Wo01sdlsFul0mrVrlLAF9ArMJUnC9vY2dDodZmdn4Xa7oVarsba2hkgkwvraQRidwpQGgwHXrl3D9PQ0zp49y94PKjPTarXw8ccfY3V1FQ8fPsT29jbrjOQLr7zlKdUqJZDMgnaKtBgbDAbkcjn2sJnNZlSrVWxsbODBgwcDI2v91QE++9nPYnp6GlevXsXk5CQmJydhMBi4zNndu3exvr6OjY0NXiQpAYe8RNVqlTWv+Xyedc2UtNRoNDhZkEih1WplTajL5YJGo8H58+dhMBhw8+ZNtuGgQMSDNM+XL1/m0C7pgI1GI2/iYrEYMpkME3bS/hKIxJOXTO5N02g0HEYGwCHSRqMBvV7PiSqLi4vodDpcoH3YCxht/vR6PRMNagFLEohSqYRisciRnEgkgnQ6zRsgeX1Yq9UKk8mEbDbLBff1ej0CgQDa7Tai0Sh7EUc9UYPkMtTkZX5+HtPT07zpXVhY4I5jgUCA549ms4lQKMTJjblcDrFYjBfpUqmEWCzGpJieK+rIVi6XEQ6HueIAzevj5KUUQmB2dhZXrlzB4uIiNBoNEokEVldXcefOHWxtbXHXudOC2dlZXLt2DeFwGA8fPhxKFGqUMDs7i6WlJYRCITx8+PBU24IQCAQwNTXF0c1h4FjIKyVEnD9/HsvLy6xdpHJHpKFZX1/H9evXuTg4hcKJrKZSqZ7i/LlcDslkcl+2LydskiQhk8lgamoKbrcbTqeTvXVUKmmQZI1I9YULF3Du3DkEg0HY7XbY7XYAYLIWCoVw+/Zt7OzsIJvNolwuMxEhwTh5hQwGAwqFAhKJRE+1AFqgAbAeljoptVot2O126PV6LC4ucstUuZduEDahxI9z586x9s7r9fLnRGQsEong/v37SKVSXLeVFl0isI1GgxOzyuUyUqlUT1tU8mbSeCHPM216qE7s5OQkKpUKjEYjexwGaROVSgWbzcYeVyq87/P52BNNXqBMJsOkjMg8dcmStw+mSAWRePI4EqHV6/UcqaDxRU0dAoEAcrkcV3kYJug5os+SwpokgaGyTeQ53NnZwebmJjKZDEqlEgqFAjctUavVfK/lcplJlyRJXPmjVCqxDGFUtZvya6JxTlper9eLYDDIod+ZmRkeS1T3maIy6XQaxWIRqVQKyWQSm5ubvMmhEnI0txBxpfJjlNRHm0faJI3L4k7PncfjwYULF7gbW7FY5KhXOp0+NVpXgt/vx8WLF1GtVnH79u2RSNYcJmh81Go1PHjwYNiXMxKw2+1YWFjA7u7uySGvVOLHbDbj/PnzuHr1KnsOKdz08ccfIxwO4/vf/z5u377do5MirVSn0/mESJ68jvuBxOWUsEITbT6f59qpc3Nz+NKXvoTNzU288cYbPbrA4wSRzaWlJbz44otMtoiMraysYGdnBz/4wQ9w69YtrqlHpJRCFZRJTiD7yMm83EtUr9dRKBRgtVq5tFSlUuEWu/Pz83jttdcQCoVY+3qcC4+81BfJSJaWlri8EXltaNG4ceMGPvroIx4fRMpofFAJJHnzAbIp2Yw8tBT6zGQy7J0ngidJEtxuN6rVKi5evAibzYZIJMLvc9ygSIXX68XU1BQmJycRCAS45ihlu0ajUWxsbHACW6lUQrVa5WgFkVf6og5I/eRCq9Vy7V+qXEDHkWbYZrPB4XBwYlsymRxayExO7inx8/z58/D5fGwjGjf379/HgwcPsL29jXK5jFKp1BO9oTa5lPxI9iNbTE1NodPpYHt7G2q1miMbo7iAkxyGSuuRLODixYs4f/48gEfJdyaTiXXSJKeJxWLY2triagNEYilSUalUWFYCgJ8Zmlspx4Ces1HIQD4MKB8iGAziypUr8Hg8XHGDngV6bk4LhBBwuVw4e/YswuEwJzCeZpjNZvh8Pi4pOC7j+zhB5fWGOTaOTTZgMBgQDAaxtLSEWCzWo4daWVnB7du3cefOHWxsbPBgkNdzlZeGkpPax4G8ULSQUztM0vEFAgFcu3YNFosFf/InfzKQDEoKdxoMBkxOTmJhYQHFYpFt0Wg0sLm5yaHO1dVVXgTIU0Skj7Lgd3d3OTTXf/3yCgW0uFDmOW0gqMxQu93Giy++CJ1Oh29+85tM5AZlDyJr5Fmk+0omk0zUVldXmXiQ91xeykWSpB5phXyhkRNPlUrFnjm3280LLpX3sVqtcLvdmJub49qxg/LOkzacyp1RtIDq+9K1UsH0hw8fYn19HQB6CD1FLeTtTckO8mQcOp9KpWK9r3yRphqqlMxVLpeHVv+WbETXarfbMTExgdnZWTgcDvai07hZXV1FJBJBKpXqSTBqtVo8Zsg+RGCpIYFer4fH40GlUmFN+DCrTzwJco+ryWSCz+fD1NQU5ubmsLCwwJsYqgNMof5EIoF4PI5QKIQHDx4wiaca2jQ+arUaMplMz31T3V+5HEX+/1Gz0eNAXnyfz4fFxUXWjFPta/oaFwnE84LWGZvNhsnJSdjt9k+07j6NIDmVyWQa9qWMFKi6y9DOf5RvRnrGH/uxH8OZM2fg9/vZE9jpdPD1r3+dPUfxeLxnVw88Woj73/NpPT60MOXzeaysrLAucGFhAV/+8peRz+cRCoU4e3QQE61arcbs7Cymp6c5JEuT/vXr1xGNRvHhhx8iEol84rrkJTqAR6FCuZfjIBCpo4Q4sker1UIgEMCVK1dQKpX4cxiUPYQQnBBErU3pniiE+e6772JlZQXr6+s9HnlqSCG3hdy72m8v+j95nWu1GtLpNMxmM2v7PB4Pa2Fp/NDG4LgXLXmJHqvViqWlJSwtLWFmZoalNhqNhsnY7du3cevWLYTDYWSzWX4fuZeZniF6jmgzI/9sKXROIVIKqxsMBt7QkVbb7/ezbngYIE89RU+8Xi88Hg9ruSVJQiqVQi6Xw+bmJiKRCMsFms0mf57yRD69Xs+fLUVBqEmGw+FAuVyG1+vl0nJUGuppN9HHDfK4ulwuTryyWq3c0pTGDXkRSdMaiUQ4qpFMJrmaCVWhIJ00kWJ63uSbQiJzcmI3bHs8C4QQCAaDOHfuHBYWFmA2m5HP5xEOh/Hxxx/je9/7HtcNPy2giFgymcR7772HjY0NHvenEfScRSIRfPvb38ba2tqwL2nooDk0k8ng9u3bSCQSQ7uWI/e8arVaXL16FVeuXIHL5erx/rz33nt45513PhH+JjxvyIkW7mKxiHA4jEQiga2tLVy5cgWvv/46yuUydnZ2kEqlBvZAqlQq9hQZDAYmRq1WC3fv3sXNmzdx584drsvafz/PQ6DI85LNZhEKhZDP51Gv13HmzBmcO3cO1WoV2WwW+Xx+YIsyhX9dLhcXige644M0vLdu3cKHH37I40TuWez3Asg9YgddP/290Wggl8vBYrFw4l80GmUyJCd+gwh/kteVsr2DwSDXc3W5XFzGiT6/tbU1PHjwgPXhNJHIa/bK71luF/nv8gYXVJmgVCrBarUyeSHS6HK5UCgUhrvD3kvUIikDfZF9crkcIpEIdnZ2EI/Hkc/nezTAcjJPEQyyhbzxCel7qY50oVDgtru0yRr2Qk6fOW16qMMYtcB2uVwwGo2sd7dYLIjH46jX60gkEnj48CFrXakzVqVSQblc5k01jUv6Lh8/9GzIJU3jBrJfIBDApUuXMD09zRs38kbfunVrJDYqgwTJ/fL5PG7duoXt7e2RaaU+DJD2O5FIoFar9VQ2Oq2gOUFeXWRYOFLyKm/bSGHpUqmEDz74AJubm5zZetwPA3kdTSYT1za0Wq1ot9ucxDCokLBGo8Hk5CT3ym6329jY2MDOzg5WVlawtraGYrF4rIsAeR2pGYDL5YLdbueQIrWKPW6Qli4YDGJhYQEOhwNarRbFYhGVSgXvv/8+7t+/j83NTfYE7beAPOn3g0Cbgd3dXRQKBU5eo0SXSqXCGdqDAE2OlLk5PT3NpYyotFe9Xsf9+/dx9+5d1rlSzVUirAfJR/b73v9/4NH4IIlOfyMAkhgMOnxIng95abmlpSXu2Ec6cCq1l0gkuNaoXMNLz5a8u5bRaOSxT8X16Zzkqaff5W2JhwkiXdRRjWQmLpeLOxZOTU0hEAjA7XZDpVL1NDZRqVScJEpzk7yyBkkogN7yarTZJlvKIx3jCNLrLS4u4nOf+xwmJyfRarUQi8Vw/fp1hEKhUyUXIMzOzuLixYtot9tc0YTm4dMIqoctSRJKpdKpr7oAoMdhQuvFsHDksgH5jp/Krdy4cQM3btxALBbr6fxzXKDJVq1Wc0kdyqgeJFmjBcLv9/Puvt1uc03b1dVVhEKhY58kqfZlp9Nhr5XNZkOz2eR6l4OAnMzPz8/DZrNx8lA2m8VHH32EDz74AOl0+qn1t4edTGhjQ40ZKFmKGh5QofdhjI+JiQn4/X4uDl4ul5HP57G+vo67d+9iZ2eHy4Xt51V9EmGVn1cOee9yGotEkOQ6QNI7DgpE1qj+7NTUFBYXF7ncWbFYZClINBpl2QklaMlJPc1NVENa3sCEvKpyckqvJdJK9XWHqX3trxdN9Vzdbjdrgaenp+H1euFwODgZjdoFq1QqWCwWroDSbrfZqy6XnRAo2iH/3i9RGUdQ6a+ZmRlcu3aNNdOJRAI3b95ELBY7ld7GYDCIV155hctXZrPZU91ZizTR9XodlUrl1JJ4OWhOHgUJ1ZGRV51Oh5deeglTU1OYn5+Hz+cD8Gg3XyqVBlZyhMJaNpsNn/70p7G0tMQhUqrdd9wDUavV4vz585iYmMClS5ewvLzMhcOp1Ez/AntcoEQtnU6HxcVFTE9Pcw3dtbU1hMPhY5+sqcKBx+PBCy+8gEuXLsHj8UCv1yOfzyMWiyGbzaJYLD623M7z2orIK9VIdTqdnJjQbDa5EcJxj1U5CQkEAggGg1z2iUgk6aDpmqi6xH4k42mTZogAEQmTh9YB9LRHbTabSCQSSKfTPFYHCZoojUYjJ4/ZbDb2KFLJNErM6tcrE8nql1MAveF/KqFH1UrkkzIlJcg9uMNO3upvj0stciliQKUIqRoFVS+hn+n50ul0HCGj19dqNU52JQ9rvz2B8UrMkkMIAa/XyxtFg8GAzc1NrK2t4c6dOwiFQqcyPEwa4FdeeQWFQgE//OEPByafGlVcvXoVr732Gq5fv473338fwGhWHRkkXn75Zbzyyiu4ceMGrl+/zvPwMHBk5FWr1eKll17CuXPnMDc3B6/Xi93dXZ4sBxl+oEXZZrPhM5/5DNfvK5fLXJbquMmJVqvFhQsXsLS0hIsXL2JxcRGtVou9QqVSaWA1EcnzqlareWNB3XLW1ta4S9Nxgsjr5OQkzp8/j4sXL3KLUqrNmc1mB7LJofHYarXgdDphs9l6yOvOzs5APC/kAfL7/QgGg7BardBoNKhWq1zndmNjA5FIBIlEgnWJ+2mjnxb7kVc5WaOKDpIkodFo9JDXYXSmo1JQRF6p7Bv1XCfiSuS13zsor9Xa76WW614NBgOX2CMb0waDPA3DDCPL680SeTWbzUxeqZ4zVRkh8kq1bIm8UmkrSerWtbXZbD3vncvluPIARbD6Seu4khm6T6/Xi6WlJfh8Puj1eiSTSVy/fh13797lJjanCWSX6elpXLt2Dbdu3eJnYVw/66PAlStX8PM///NQqVS4cePGqSeuQJe8/uIv/iK+9rWv4d69ewAw/uRVo9FgdnYWZ8+e5TqaxWIRuVyOS7QMstgzldra3t7mXSUlJAziOtRqNebm5nD27FnuZtRoNFCr1bgz1qDEzrQIA0CxWGQvE5ULGoQ9NBoNgsFgj1xArj+lrOdB1VW1WCwwGAw9tRypdNkgNhVCCNaGO51OOBwOJh5URD4ej2Nra4sJRf9icthrlCf7yOUSVqsVTqeTdaRki0FFBg66ViJpVOaOGkxQmJvC4RQap69+76tcGww8apNLBI6SBmmT1/817CL1pMMlCQNpdolU12o1buJCXmmj0cibwUwmg2KxyA1OSOdNrbbJRsVikeUi/YlawHgTVwDc7GZychIXL16ExWJBJpPB1tYW7t69i3g8PrZJaM8D+kw3NjbwrW99C3fv3uU55zTj/v37eOONN3D79m2Uy+WhkbRRwoMHD/DGG2/gzp07LL0bFo6UvC4sLOD8+fOwWCwAwKQkn88PlLzSIl2v1xGJRKDT6XhRI/J63JMw2ePChQtsDwrnZTIZJBKJgeh/gUeJQZ1Op6ej0iDJGpH5c+fOwWq1cime3d1d5HI5bpJw3GSJ9H42m41Ll1HonOwxiE0FkVd5bVeVSsXktVwuIxaLcacoss1RnJc8vhR2ttvtrCOlxbu/xvIgQUSNyKvb7WbyajAYOIxPncVoDMs3Y/1hbqC3pJg8dC6vJEAbTPqiOrHDInBkC/ou76RFiWVEMnK5HDqdDmq1GgwGA5cKzOfzKJVKXEGCqimUSiXeRLbbbS6XRmXU5N7mcSeuwKOqFcFgEC+++CIsFgtSqRQ2Nzdx69Yt5HK5oev4honV1VV84xvfwK1bt7is4mnGysoK6vU6twg+bZua/XDv3j0Ui0XEYrGh66GPjLy2222k02ns7OxwmR+tVsvlbAapmXM4HNyF5+rVq/B4POytIe/FcSfkdDodJBIJRKNRTE1NwWg0MkGiXuuDCEMIIeBwOPDCCy/gwoULmJubY+2tJD1qhDAIUNYzjYNGo8HZ4sedzEefu0ajgc1mw9LSEmZnZ2G323nBplJcg8gql3eMcjgcfB2UAV4ul1EsFg+UUTzLpCFP+NHr9bBYLPB6vfB6vQgEAlz9odFo8Lkp5DzIiZtqr5JMwOv1ct1bnU7H3kbaHOdyOa4yQPKG/Woh073Lu8NQIlalUuHnkmrfyj1Pw/TIyeUTRLYlSUI2m0W9XucC6sVikdsbq9Vq9krT3GsymWAymdgGZF/5pi2VSkGj0aBYLKLdbg9d33tUEEJwhMHhcMBqtaJQKCAajSISifRkk5+E+z0M5HOevIbvabNDP5aXl/GFL3wBb7/9NsLh8Il5Fp4HL774In7qp34K3/ve9/Ctb32L5UjDwJGR106ng3g8ju3tbSwsLHACAHXAoQSAQcDtduPVV1/FhQsX8LnPfQ5qtZq9aYMia1RuxGaz4YUXXoDD4WCdXrFYRDabPXaXO01KXq8Xr7zyCs6dO4cLFy6wvhN4lJBy3GRekiTO2iRPXq1W411cKBQ6tna95G2kzkFutxsXL17E7Ows3G43e+lpMzGosmEUDvd6vXC73Vz1oVarIZ/P81f/OHmeCZQIvMlkgs1m4zJdMzMzXDaKiCFJfo7K6/s0kMsFHA4HnE4nJicnMTU1BZvNBr1ez4SMIhipVIozoynZrT8jnog7hcXllQaopB95KfP5PN878CgBdJjklbrAUUUM2hxTBRGTycT3SNEEeraJtPp8Pk5O1Gg0TOSoSQFJBwBww5STgP7OUT6fDw6HA+FwGHfu3MHa2honcJ5GciInr/KGMKfRFnK89NJL+Nmf/Vnkcjm8+eabp94eAPDKK6/gl3/5l6HVajlacSLIK2Wz0uJykAfkqEGTO9BdaEwmE5eLIY8rhQMLhcJAQgBE1uTlauTdfo5TukAkDejaxmKxIBAIwOVy9dijUqmwLm4Q9pDrbCnMS33SKcv7KCHvqGSxWHoWbar9q1Kp0Gq1mLyQF2+QREWeXASAZQPyTPl+/eHTQq6VpM0kyQSmpqawsLAAv9/PGsd6vY5isYhQKIRoNMoZ64OeuEmnSpsO8jbKdankLZWTLHlyFtlOXrXA6XRyhzciMUQKyXMrH5v07D6r/Z8Hco0rta61Wq1sn1qtxmRdXoOSiEez2WSpAL2ffDyRfek8JBfZTzM8zgs3ff7BYBAvvfQS/H4/hBDI5XJ4+PAhUqkU3/NpBEUicrkc7t+/z53FxvkzPwqQvvPevXtDT9gcFWxsbODtt9/GvXv3kM/nUavVhnYtR0ZeJalbyJduSE5QjruNIC3MQJdEWywWBINBeL1e9kSQd4HIyXE/mJIkMZmXJ5XIF8fjeBjIc2U2m3kCstvtmJubg9/vZ10lZSMnk0nWyh03KDtcrrWVyyiO2tMjt4XX62XNoNfrxeTkJJP5VquFfD6PTCaDeDyObDY7EHvIvR3y85XLZWSzWa5V/CyeYHlVAfJk6vV6GI1GuN1uTp67dOkS620pQpJOp7GysoJoNMrdqga5kNG4lUs9iLzS2K1UKhzeJ8+03E79xJVqnPp8Pvh8PkxPT2Nqagput5vb81KZNnkVAzlBHPRiTtduMplgNpsxNTUFp9PJOtx8Pt/jae33mNF36sku3+TTRpG8s3Ly2mg0enTD405i6L7PnDmD1157jcf7zs4OPv744yeW5zvpoHqmiUQCiURi6FrGUcGHH36InZ0dRKPRU1eB4iDcvn0bv//7v4+bN28OvX3ykZFXKoXk9/thMpm4hVgqlYJer4fL5eLuQM/y3qRNk7d5dDgc8Pv9vKiZTCb4/X4sLS3BbrdDpVIhHo8jl8vhxo0bWFlZGVh2HIXrA4EA1++sVCrI5/PsCc1kMs+0cyEPCnnsaPGx2+3sVaCEIJfLheXlZVgsFkiShFgshnw+j5WVFdy/f7+nMP1xQj4+jEYj1zOt1+twu92YnZ1FJBJBPp8/9HvLS/0Aj7KKTSYT7HY7t1+lsOGZM2dYg0znvHfvHlZXVweWXS4nlURQaSLQ6/Uwm81MNORVAvq9sQfZQu61NBgM3KXK5XLB6/VienqavfEmkwntdpslLRQ6J8nAoDvLEGEiMkabHAA9nkK6P6okIJcIAI+eE9LQ0nggzztVWFCr1ahWqygUCkilUshkMuxxlnd5G/RELb9PjUbD7WDpmqisGoGS1eg72YFKjblcLn7+yBZWq5WjMFSijSReJ8XTRPIIqhG8tbWFlZUVbG5u8ubkNJM12rT6/X74fD5sb29ja2tr2Jc1dCwvL+Pzn/88vv3tbyMSiQz7ckYCMzMz+OxnP4tsNovr168P9VqOjLyq1WpMT09jfn4edrsdWq0WiUQCoVAIRqMR09PTCIfDhyaPpFMjrRu1r1SpVJiamsJnP/tZVCoVJJNJzMzM4JVXXmFSu7u7y52sfu/3fu9QnZueF2q1GrOzs1heXobL5YJer0cul0M8HofL5cKZM2e41M/TQk5KNBoNkyzKHg8Gg7h27Ro3QZicnMTly5e5JWy9XseDBw8QCoXwx3/8x0gmkwO1x/T0NBYWFrhUFnnDqYxZsVjkVrlPc01yUkdeTCEEZ2N7vV7Mzc3x/+fn5/Hqq6/C4XDAYrGgVCphY2MDsVgM7733HuLxeE8R9+MGeUPlHb1I9kLJU3RP8g5PhH5C1W8P0nZaLBZuEEERifn5eQQCAQQCAS6vVC6XsbOzg3g8jng8jlQqxSWWBrm4E3EiIkayEkowpM0JhTv7a7j2Pyfydqo+nw+BQADT09Pw+/1wuVysMU4mkwiFQtjZ2UEymWQv5DDLhcnvwePxYHJyEkD3s6eWxgQinqVSictn0aaRaiwvLCywPahdtFzrWygUOKnyJHhdAXBHP4/HAyEEbt26hevXryMcDqNQKJwYbe+zgiKCgUAAP/IjP4I//dM/VcgrgFdffRW/8iu/gna7jbfeemvYlzMSePHFF/HVr34VkUgEf/iHfzjUazky8rq7u4ubN2+iXq/D5/PB7/cjmUwiGo0emqDRd4PBAIPBwAtOMpnkJCjq1HTt2jWunWq32+F2u6FWq5HJZJDP57GxsYGtrS2kUqmBaDsJrVYL9+/fR6fTwdTUFHuis9ksdnd3e0hGf5jvIHtQkgm1eKXQKXlVzp07h8uXL3O5JZvNxsS5VCohm83i7t272N7eRiwW44ziQSxQrVYLW1tb0Ol0uHjxIsxmM5ciog0Kfd77ebvkpITsQYs6JaQQ6L69Xi9mZmZ4saaMdcrEzmaz2NzcRCwWw/b2NnK53MCqYkiShEKh0OPlo+xusgeRFUo2JJv095mncURf5FkjmYDD4WANuN/vh9vt5tJYAJjw5PN5bG1tIRKJIJ1O88I+DA8ceV5JE02hcrKRPPGKxj+RMBoj8qx6h8OBubk5Lk4/PT3N9Zfr9ToymQx/UfIO6dKHReDkY52SLOv1OiwWC98XlfkCwB50s9mMer3OY8Dn88HtdrPGlz5PKlO3s7ODUCiEWCyGXC7HG7iTQOpUKhVcLhdmZmZgMpm4kkcul0OtVlO0jHsQQiCbzWJ1dRXpdHrYlzMSWFtbw5tvvom1tbVhX8rI4Pbt2/iDP/gD3L59e9iXcnTktVar4Y033sD777+PixcvwmQyYW1tDXfv3kWxWDyUJ41CgQ6HAy6XC1euXMHLL7+MGzdu4Ac/+AEWFxdx+fJlXLlyBT/5kz/JbR2r1SpyuRyy2SzW19cRCoXw1ltvIZ/PY3t7e6AZlPV6HW+//Tbu3r2LS5cuwWg0clmWer3eE/aU16Ps96TJSQl1GVpcXMTS0hLi8TjC4TCCwSDOnj2LCxcu4LXXXuM6luTZrVarSCaT2NjYwDe/+U2kUimsra1xfdNBYHd3Fx9//DESiQSuXbvGGkNqxUgeQpvNxlnj9Hn195mncUKkNRAIYHJyko8lcuLxeLhMGS34BoMBrVYLuVwO29vb+OCDDxCPx3Hv3r2e5JzjBlWj6HQ6SKVS8Hq9LLcButKB2dlZziwnTztpqeX1TKksHT03tHmkJgjkdaM2qyQvIR1ppVLhFrQfffQRkskkIpEIn2cYkgFKOCLvPJWuajQaUKvVXGjfaDTC6/VCo9GgUCggm80CeBSx0Wg0HBH61Kc+hVdffRV2ux0ej4fD5cViEeFwGOFwGJFIBMVikdukDsvrSqBNmhAClUoFhUIBLpeLiatc0kHPBlXOcLlcsNvtLA8gvW+tVmOZQDKZxOrqKq5fv86lDmmzMO6kjubPmZkZvPTSSywPyWazSCQSrLM/Cd7l5wHNp+FwGPF4fKhJOKOEd999F9FoFOFweNiXMjL4xje+gXfeeWckxsiRJmyRbuzhw4dQqVTw+Xz41Kc+xb2179+/j0QiwaRJnphBnslyucwexuXlZSwvL7NudH5+HgC4F7zT6QTwyfqNVPKlUChwrcpBL0JECnK5HNbX16HVatkL6vP5UKlUYDQaEYvFmIj0k0nyTBI5OXPmDBYWFnqy5T0eD2eOe71eJsREgqgdbaFQ4Gz6g9qMHieoQYLRaEQ6nUYmk+G6nUQwyKtULBZRr9dZ80gkguxEn7XH44HP52PPmjwhaWJiAlarFW63m2UEpO2q1+vsBScPPb33oMYI6bQpJF6tVrmOp9PphMFggNfrRbvdRjAY5EYbzWaTiQeNF7KhwWCATqfjTHqyh81m49JYXq+XNZDNZpN1nrRwkQd62N1TgEdad3mCn5xQkmbYZDKh2WxyGJxIvNlshslkwuzsLObm5uDz+WA2m6HVarlWLG12E4kEcrlcT1OCYZMa2ozR5y7XuhoMBv7ZZDL1dMYi+1BZLbPZzDrzRqPBHv9UKoVoNIrV1VXE43GWGwyyJvdxwmaz9STpZTIZZLNZXo9Ogmf5KEDSFACnuupCP0hGVSqVhn0pIwOS1I3Cs3Ok5JXCTW+99RbW1tbwla98BYuLi9zF5fvf/z5CoRDrquhBoeLst27dwurqKk86X/rSl/DlL38ZiUQCyWQS09PT+Imf+AneUdtsth7Pg9yzRpmTg2w7Kken0+Ei4u+99x4SiQS++MUvYm5uju3x7W9/G2trayiVSkxiqLwNAIRCIcTjce5d/sUvfhFf+MIXODxKnid5yB14pIElz2W1WkUsFkMsFkM8Hudaq4Mmr9lsFu12G+vr6zAajbh06RI8Hg/bw+Vy4eHDh6xNpsWatHzUrY0W4/Pnz2N5eZkJrt/vx9TUFBcjJxJPCVC5XA6hUAj5fB6RSARbW1vY3Nzk8m6DLo8l9yrm83n2ltKmrNlswmazwWw2c4m3RqOBTCbD7QqbzSYnMVEZKNrcEIkhD2wgEMCZM2eY6CQSCWxvbyMcDuP9999HMpnE3bt3uXPVMAhcf+IdNU0gYlWv13ljJk/KU6vVmJqaAtD1WpPsgiorzM7OssaVsupzuRzC4TA2NjawsrKCZDKJSqUyVJ2rHJSgSp8FbbAMBgOsVis/48FgEA6Hg0tqEWkle5FHtlqtchQqFArh3r17uH79OlKpFLa3tzlacxKgUqkwMTGBqakpLC8v49y5c3j33XexubmJZDKJUqmkZJDjUYTCaDQeaxWccUQmkxlYJZ5xwSCjtU/CkZFX4JFOLRaLQZIkRKNRWK1WOBwOzi5vNpvQ6/WcZS3vZkTJPETEnE4n6/1owdVqtVzFIBgMwu/3o1AocLIN9aoOhUJIJBIcfh4GyLsWiUQgSRKSySRsNhsvtiqVits1WiwWLndD3/V6PSYnJ3u0v+SNkvcob7VaKBaLLLWo1+solUrI5XKIRCKcOEddrIYVKiMtbigUglqtxsTEBPR6PWcBk6dUp9PxhoPqB9frdXi9Xu7PrtFoMD8/D7/fzx5at9vN3Yb0ej0TIarjmk6nefMUjUa5LMywOuuQrCMajcJoNMLn80Gn0/HmjEiKx+OB0WjkcLDdbu/pJkWw2+2sh3Y6nbwYkedZp9MxQel0OtjZ2cH6+jqi0ShSqRTy+XxPu+BhkTfyOBKJLpVKMBqNyOfz3BWKavdKUrfFq81mw+7uLmugdTodPB4PXC4Xf6dnheQImUwG0WgUsVgMiUQC+XyePa+jkLBE56d2rdlsFmq1GltbWxyR0Wg0yOfzkCQJNpuNPdIqlYqjDFT6i7qHhcNhbG5uYnt7m+s894+lcQbNkW63m7XNkiQxcac6zsP+fEcB9Kz112VX8Mg2p32MjCqOlLwCXYJy584dbGxsYH5+Hvl8HsvLy3A4HEgmk0ilUpiamuJF1mQysZ7t3LlzPAFTZnU8HgcAXpCEEAiFQvjOd76DV199FZcvX0YikcCbb76JVCqF9fV1ZDIZrK2t8eQ9rMFHC/DHH3+MtbU1nD17Fu12GzMzMzCbzWg2myyvIK+JRqPhsBaV8yEPql6v5xaqRF5NJhOSySS2trYwMzODqakp5PN53LhxA9FoFLdv30Ymk8Hm5ibXUx3GAylJEtePfOedd3D37l0u60UhTvI4yjWuQghOaCKtH5FVeaKWvMoAhcFoI0Aep7W1NXz3u99FsVhEMplkycAwQmXUkrTVauH69euIRqPc7YtaeVosFi6B1i8nkRNu2uyQh548rVQPVR4WpGeNCpK//fbbyGaz2N7e7mnfO0ziSs9/sVhEo9FANBpFs9nkTPv5+XkYDAb2rNLrJiYmkMlkWBtO5dEosavZbDIZzmazWFtbw0cffYStrS3WPFM3sVFYtMgZQBvOtbU1xGIxFAoFOJ1OzM/Pw+12o1arwWAwYHJyEk6nE81mE2azmWVYVP4rnU5zRYWNjQ3uUEabnGHf71GBNvcLCwt4+eWX4Xa70Ww2EQqF8OGHHyKfzysdpGQgjz7wiLAp6EIZI6OLIyevALgzTSQS4fqERFxoESmVShBCoNlsIhqNIpPJcIi0f8DQjpD0exsbG0in07h//z7efPNNhMNhrKyscHF3WvRGQYxP4b5arYZIJAKj0Qi1Ws1EjVpyarVa1vZRBjollNBiarPZYLPZWL9qsVhgt9uRSCQ40YQ2COvr68jlckilUtz3nbyZw/aolUolqNVqhMNh1uI5nU5OTCLPEWkcSRah1Wp7SmIRKaGktE6nA61Wy561fD7PCQilUgmxWAzRaBTlcpnrmA5zEaOwcC6Xg1qtRigU+kSLT6rTCjx6DqjxAv1O300mE2+CqKyUXq/n+q0kU8jn89jZ2UE4HEYymeRGGqNCYOSkXAiBcrkMjUaDVCrFJZ4o256eJ2o2QYl/tLExmUyc6EftiNPpNLa3t7G9vc1NKcjjPEoeOboG+oxpI57JZNBsNqHRaFAsFmGxWHhj63Q6eaNPev9sNstNOKgRB0lP5JU9TgpITkXyGZ1OxxsBJSz+CBSZkpdeVGzTi8fV1FYwXBwLeSWP4/vvv4+7d++iXq9jdnYWAOBwOJhUkNb1+vXrWF1d5QFCFQeovmu5XEalUuEi21TW586dO/it3/otXuj1ej0nooxSGGx3dxflchnf//73sbKygnw+z95Xj8fDCSbJZJLLe5F9aOIFgMXFRSwsLGBjYwNra2twuVzw+XyIx+MIhUJIpVLY2trqsQd5eIdN1IBHniRaOL/73e9iY2MDzWYTc3NzHPJ0Op3c8aVarXKBeSIocs+sXq/n+/d6vRwO39zcxM2bN/HWW2/16HSIFBHZHeYYoWSccDiMRCIBrVaLiYkJfP7zn8fc3ByHx+k7eeSJpMqL0cubEpAHUaPRwGKxIBaLYX19HfF4nGUC9+7dY1JPofRRIm00h7RaLdYoarVaxONx3gBdvHgRgUCACbvb7WbpALVEpbB7u91GqVRCJBLB6uoqRyYePHjQs/kZlTkD6K3j2+l0UC6XOblPrVZzIqjRaITBYEAwGOQmBvIvmj9LpRL/TEmbo6JfOyqoVCquUjM/P4+lpSV2klCEYhTG+CiA5BUk46PSYQq6kJey3K8a0GmGvA33sGxyLOQVeFR9QJIkhMNh1q4C4MQT0r3S4tRfEom8cBTOpImaeppT+1W58ciDOQphPzkkSeKsRQrhU5YweY7S6TRKpRJ7RkhGQBOuEILDqLFYjD1zFBLM5/MolUo9oVcifKNUz5A0Vul0GkIIrK6ucqcgIQS8Xi8sFgsXyScST7aisDmFh7e2thAOh9lLHY1GufkAhQjl9VBp0R72+JCXhALA9RVDoRA6nQ48Hg/MZjNarRZMJhMn9tFr+2tx0mdORIUQjUaxvr7OHkd58wHSd47K2CDIxzAlMRaLRW7rKYTA5OQkHA5HT/cx4NGmgCIZlAxJiUpUFiyTyXCS5KjNF3LQddE80Gg0eFFVq9VcC5e8rySrodJvVPqqVqtxEtdxt+weBuQ1kg0GA0cwKpUKe91HofzZKIEq9ej1eu5ip+CTkHdAVNDFsG1yrOSVdvnf+c53uISLPCxHHkciV/LXElmT/04eFdKs9U9C1O97VDxIcnQ6HSQSCaRSKezs7PSQUgqT9983kVpKurh16xY0Gg2TlunpadRqNfY0yrVLAHqSb0aJnBC5WFtbQzgcRiwW4+QboNuCzul0cgLN9PQ0XC4X24nIByWsJRIJxONxzM7O4ty5c9ja2sL9+/e5VJocw94tykGeaCLjDx8+xNbWFsrlMrxeLxYWFuDxeDA3N8ftlWu1GjweDywWC3sKiYjQpo60jeVyGcVikRP2KJGPZCx0/lGF/L5I8kIVAagEGgD4/X44HA6WlNDrqDRSJpNBMpnE5uYmVlZWOLu+Vqvx5ncUxsNBkCduAY9CmVTzliRYhUIBOp2ON2kkB5FvBPrn4JMCeXc5i8UCh8OBdruNfD6P9fV17OzsIBKJsDxGwSObGQwGTngsl8vDvqyRA9lJ2fQ8grwN+YnzvAKPJl3yuvZPmAfdPP3e/3fKVqc2sfsZbZRIWj9o8FP5GvICECkjEGkl+5AXaXd3lz1MFEZMp9PsResnIqNGWvtBHvJCodBT8kyr1bJnnRZoeVFk2gRQPeBcLodCoYBEIgG9Xo9kMolisciefzlGcfKRexglSUI2m2WveqFQQL1eh8Ph4M0IlQsj4kpkrb9RB5XhIvuQF27cvG40hslDXSwWAQBbW1swGo0oFAqw2+08v5BnPZfLcT3fbDaLaDTK0hzqaT/Kz8dBkEsJCNScoNVqMXntrxwhn3/H5bN/WlDEDgBru+PxOKxWK3/u/VG604r+FtPkuafudfT30w6SVYz6OjpIyFuxD3sDLA5zciHEUEf0IHQWkiSJJx/F1/NMF3HQBEF/J+L6JA8JPVzHrNX7oSRJLz/NgYe1h7yNp7xNLslJ6BjqlERhUPLU0+vkYW8KFZI9jmGxPjZ70Oeu1+t5A6NSqbjMFWldqXKAnKwRYWu1Wj3hcpJSkEeextURTsbHZo+91/DPJBshOU0gEIDD4YDFYoHBYOhpZNBqtbiTFJH2RqPB9aWPsfXrsdhDbof9/iaP2Mj/Jv8+JBzr+JCDnhdKWJubm4PH4+GNbDKZ5BbQQ9T6DsweB6F/3uwvWSnf3A5g7AzdHgfBaDTCaDRyqbkBSe+e2h7A4G1C0U55N8rjHiMHcbJj9bweNYbN9I8KB92D3KPyNCR9FLWKh4Fcyyf3BJIXhTYr5E3q9yS12+2eSXc/e+y36I8q5OFh+eJKSUiNRoPr18pJKHkGyI5EzmjSlctRhq1TOizoWul+AXCUgTqjUTKXnLiS5pOSvuh/5O0ft+dmv42u/G8nZW58XpCGnJqikFdR3vL2tNup3xNP80a/c+i020kuyzrttiDQeBmFMTJW5PW0YNiDYtDoJxJyL6oc/TZ5GhIyTnaka+3X5O3u7nLC0n5kvJ/EyH8+KQSHwpvAI/tUq9Ue7RXwiOQeFCYf1/vvx0m5j6OEPGGv0Whga2urJ5dgHDctxwF5ZApQxtJBIO8ioNiIQBLGUbCHQl4VjCxG4QEZBYwz6TwOyD32/Rg3z7KCowd9/ietDJiCwUOZSz6JUbGJ6smHKFCgQMF4YFQmVgUKFChQcHxQyKsCBQoUKFCgQIGCsYFCXhUoUKBAgQIFChSMDRTyqkCBAgUKFChQoGBscNiErTSA8HFcyIhg9pDHn3R7AIeziWKPXij26IVij14o9uiFYo9eKPbohWKPT+Kk2+RAexyqSYECBQoUKFCgQIECBcOEIhtQoECBAgUKFChQMDZQyKsCBQoUKFCgQIGCsYFCXhUoUKBAgQIFChSMDRTyqkCBAgUKFChQoGBsoJBXBQoUKFCgQIECBWMDhbwqUKBAgQIFChQoGBso5FWBAgUKFChQoEDB2EAhrwoUKFCgQIECBQrGBgp5VaBAgQIFChQoUDA2+P8BjUF02LUSC1cAAAAASUVORK5CYII=\n", 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" ] @@ -3518,6 +3453,7 @@ "source": [ "# Let's create our model. Same as before the model has three main sections:\n", "class CVAE(nn.Module):\n", + " \"\"\"Convolutional VAE\"\"\"\n", " def __init__(self, n_latent=2):\n", " super(CVAE, self).__init__()\n", " # After each layer in the encoder we decrease the size of output and increase the number of channels. \n", @@ -3589,1701 +3525,85 @@ "traverse(model=model, ds=ds_train, y=1)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# (extra) DataSet: Micro-CT DeepRockSR" - ] - }, { "cell_type": "code", "execution_count": 43, "metadata": { "ExecuteTime": { - "end_time": "2020-10-16T07:44:31.704401Z", - "start_time": "2020-10-16T07:44:31.627869Z" + "end_time": "2020-10-16T23:54:49.299822Z", + "start_time": "2020-10-16T23:54:47.965458Z" } }, "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "torch.Size([1, 28, 28])" + "
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\n", + "text/plain": [ + "
" ] }, - "execution_count": 43, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "class Rocks(datasets.ImageFolder):\n", - " def __init__(self, *args, **kwargs):\n", - " super().__init__(*args, **kwargs)\n", - " self.y = np.array([self.classes[i] for i in self.targets])\n", - " \n", - " def __getitem__(self, idx):\n", - " x, y = super().__getitem__(idx)\n", - " return x[:1]\n", - " \n", - "transform = transforms.Compose([\n", - " transforms.Resize((28, 28)),\n", - " transforms.ToTensor(),\n", - "])\n", - " \n", - "ds_train = Rocks(\n", - " \"../../data/processed/deep-rock-sr/DeepRockSR-2D/\",\n", - " is_valid_file=lambda f: (\"train_LR_default_X4\" in f) and not (\"shuffle\" in f),\n", - " transform=transform\n", - ")\n", - "ds_test = Rocks(\n", - " \"../../data/processed/deep-rock-sr/DeepRockSR-2D/\",\n", - " is_valid_file=lambda f: (\"test_LR_default_X4\" in f) and not (\"shuffle\" in f),\n", - " transform=transform\n", - ")\n", - "batch_size=32\n", - "train_loader = torch.utils.data.DataLoader(ds_train, batch_size, shuffle=True)\n", - "test_loader = torch.utils.data.DataLoader(ds_test, batch_size)\n", - "ds_train[0].shape" + "traverse(model=model, ds=ds_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# References\n", + "- [Pytorch examples for VAE](https://github.com/pytorch/examples/tree/master/vae)\n", + "- [Pytorch CelebVAE](https://github.com/AntixK/PyTorch-VAE)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Further Reading\n", + "- [Autoencoders Explained](https://www.youtube.com/watch?v=7mRfwaGGAPg)\n", + "- [Introduction to Variational Autoencoders](https://www.youtube.com/watch?v=9zKuYvjFFS8&t=527s)\n", + "- [U-net](https://www.youtube.com/watch?v=81AvQQnpG4Q)\n", + "- [Understanding Semantic Segmentation](https://towardsdatascience.com/understanding-semantic-segmentation-with-unet-6be4f42d4b47)\n", + "- [Understanding Variation Autoencoders](https://towardsdatascience.com/understanding-variational-autoencoders-vaes-f70510919f73)\n", + "- [Visualizing MNIST using a variational autoencoder](https://www.kaggle.com/rvislaywade/visualizing-mnist-using-a-variational-autoencoder)" ] }, { "cell_type": "code", "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-16T04:25:01.874745Z", - "start_time": "2020-10-16T04:25:01.871470Z" - } - }, + "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", - "execution_count": 44, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-16T07:46:47.612981Z", - "start_time": "2020-10-16T07:44:31.705697Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "====================================================================================\n", - " Kernel Shape Output Shape Params \\\n", - "Layer \n", - "0_encoder.Conv2d_0 [1, 32, 4, 4] [1, 32, 13, 13] 544.0 \n", - "1_encoder.BatchNorm2d_1 [32] [1, 32, 13, 13] 64.0 \n", - "2_encoder.ReLU_2 - [1, 32, 13, 13] - \n", - "3_encoder.Conv2d_3 [32, 64, 4, 4] [1, 64, 5, 5] 32.832k \n", - "4_encoder.BatchNorm2d_4 [64] [1, 64, 5, 5] 128.0 \n", - "5_encoder.ReLU_5 - [1, 64, 5, 5] - \n", - "6_encoder.Conv2d_6 [64, 128, 5, 5] [1, 128, 1, 1] 204.928k \n", - "7_encoder.ReLU_7 - [1, 128, 1, 1] - \n", - "8_encoder.Flatten_8 - [1, 128] - \n", - "9_fc11 [128, 2] [1, 2] 258.0 \n", - "10_fc12 [128, 2] [1, 2] 258.0 \n", - "11_fc2 [2, 128] [1, 128] 384.0 \n", - "12_decoder.ConvTranspose2d_0 [128, 128, 3, 3] [1, 128, 3, 3] 147.584k \n", - "13_decoder.BatchNorm2d_1 [128] [1, 128, 3, 3] 256.0 \n", - "14_decoder.ReLU_2 - [1, 128, 3, 3] - \n", - "15_decoder.ConvTranspose2d_3 [64, 128, 3, 3] [1, 64, 7, 7] 73.792k \n", - "16_decoder.BatchNorm2d_4 [64] [1, 64, 7, 7] 128.0 \n", - "17_decoder.ReLU_5 - [1, 64, 7, 7] - \n", - "18_decoder.ConvTranspose2d_6 [32, 64, 2, 2] [1, 32, 14, 14] 8.224k \n", - "19_decoder.BatchNorm2d_7 [32] [1, 32, 14, 14] 64.0 \n", - "20_decoder.ReLU_8 - [1, 32, 14, 14] - \n", - "21_decoder.ConvTranspose2d_9 [1, 32, 2, 2] [1, 1, 28, 28] 129.0 \n", - "22_decoder.Sigmoid_10 - [1, 1, 28, 28] - \n", - "\n", - " Mult-Adds \n", - "Layer \n", - "0_encoder.Conv2d_0 86.528k \n", - "1_encoder.BatchNorm2d_1 32.0 \n", - "2_encoder.ReLU_2 - \n", - "3_encoder.Conv2d_3 819.2k \n", - "4_encoder.BatchNorm2d_4 64.0 \n", - "5_encoder.ReLU_5 - \n", - "6_encoder.Conv2d_6 204.8k \n", - "7_encoder.ReLU_7 - \n", - "8_encoder.Flatten_8 - \n", - "9_fc11 256.0 \n", - "10_fc12 256.0 \n", - "11_fc2 256.0 \n", - "12_decoder.ConvTranspose2d_0 1.327104M \n", - "13_decoder.BatchNorm2d_1 128.0 \n", - "14_decoder.ReLU_2 - \n", - "15_decoder.ConvTranspose2d_3 3.612672M \n", - "16_decoder.BatchNorm2d_4 64.0 \n", - "17_decoder.ReLU_5 - \n", - "18_decoder.ConvTranspose2d_6 1.605632M \n", - "19_decoder.BatchNorm2d_7 32.0 \n", - "20_decoder.ReLU_8 - \n", - "21_decoder.ConvTranspose2d_9 100.352k \n", - "22_decoder.Sigmoid_10 - \n", - "------------------------------------------------------------------------------------\n", - " Totals\n", - "Total params 469.573k\n", - "Trainable params 469.573k\n", - "Non-trainable params 0.0\n", - "Mult-Adds 7.757376M\n", - "====================================================================================\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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MUFVtxBFDtOziiy9GKeh+D6M+Ly/uP+XSyst5r0XfuTz4SuxwFBw+iR2OgsMnscNRcJTtisj8hfWgqktV/sf6UzbrA2KzS9VFqg6R+ZpGsFSTzbyyPHNJjQihumCO0KH35YibGrFS+4hPmlBTT408wdFPjjjiiCydx9d2B1VVVbn6a4b2yzHHHJOlldNxniOCArWfnd+Hyy67rOR9AGD27NlZuj4TSObPeu3LL78c5flQt+OOOy4qYz6t75HuZTDvVfPdG2+8McrzmI8ZMwYNha/EDkfB4ZPY4Sg4yhKnd+7cGakRWKxQMVhVTCxea9QPFtFV3aCmcy+88EKWVrWMBnJnUVPFXlU5sdeQikR55+mqiMRQMzulERxoXIOxvfHGG1GeaQXXqaqyxqJ169ZRv7JoXZ/ozqKjmh9ytJAPPvggKuN3SsHUAQCuvPLKKM/tU1FbVVn8Duq17733Xsk2aTSR119/PUs/9NBDUdkVV1wR5TnQvNIGpRUcFURpZB58JXY4Cg6fxA5HweGT2OEoOBrFiZm/qhmbuvqxyZlGpWRTRXXBU7XM2LFjs7RGFlR3MubTap6oqgFWOWiECOUnzNM0GicHtFfepSal/KzaX8r3mdMzDy4nuHtDEEKI9gS4zRoxVMF9zJExgHifQfcGtJ+4X5SHsxoLAG6++eaS7VMzR+4rNdG85557onzeQe5svpkXoF6h6jrmy0DcR/UdmM7wldjhKDh8EjscBYdPYoej4Cj7QDXW/7EeVPmoRvJjkzLlEb169crSyl2V17D+VHW0qn/mSJnz58+PylRPzCaEai6pbWC3y7xDxp966qncOplPq15VOTJzba6jqaNdKrRdDOWVzzzzTJbWyI58rfJNjWjKUP6s4Zv4oHs1s8yLLlqfKyLzUz0A8IwzzsjSavrbqVOnKM/7F7qHw6GFAGD8+PEl254HX4kdjoLDJ7HDUXCUJYtt27YNS5YsyfLszfPRRx9F16ro+Pbbb2dpDfrOZnh6hq+aYbK6R8UnFW05AoYe/qWmlXxfVVWo2M7Ppt5aLDaqSkEpB4vpanqoIhyL+xyFpBxVRENQUVERibtMb7QuDWjOkSg1kiPfUwPj67OyeK19r6aKrDbS+6qoy/k8DycFH8QGxNTwoosuiso0ag0faKDqQD00jd+dclSHvhI7HAWHT2KHo+DwSexwFBxlcWIzi7b4OYqF8iXdPs9z2WO3RTV5VDNM5grq2qXmkby9r1EolHMwL+OIG3V9l6GcndVcamaZdxiYus3lnW7Bbot7QsVUih8++eSTUZ5VSgAwZMiQLH3//fdHZZdffnmWVpWdqvR4zFX9pP3NexvKcxXMOZUv6335/VBVIY+VujCymyIQqwqPP/74qEzdLPlZ63uWqK0NvtLhcDRL+CR2OAoOn8QOR8HRqEPG2U1MXQb1kGTWp6p7GXMg5arKXfi7GtJm6dKlUZ65lup+NXQO8149zVD5PPMnDY/DbnUa4V85/Pvvv5+lVcfdv3//KM+uk9y35XCnhkD3PVj/r7z92muvjfLMOVUnzm3W/RO9L+9tqPmhvh/soqm2AMpzuVzvo/se/N7169cvKuPnfP7556Oy22+/vWT7lD+fd955UX7YsGFZWvcJ8uArscNRcPgkdjgKjrLE6S1btkQiAYuOLBoCtcXXuXPnZmlVG7AoOWDAgFp1MlhEUlWQepCwKMbqMKB2NE5WVaiXjYrpLBarGom/q6aUaprKIrKqG/hQMSD2nOL+U6+epgBTBD6YW6Fmjow8s8H6PHQWLVpU8j4qinNf6LjVd8BaQ69VNSdD6Z6CxXSdI5rnZ1EqlgdfiR2OgsMnscNRcPgkdjgKjrIPVGPuyHxFuSxHBARieV+5FPM95ZHKiZiD5kUzBGIVlKpiVAXGJoN6WoTye+Y5GqWEXfCUZ/Xu3RuloGot5VrMy/S+TYnt27dHro7sTqn8W6O3MF9VV1Q25VS1nKrXWP3HkTuA2ma5vHeg0SOVA3O/aR/qs/E+yMMPPxyV8XulqiBVR/K7pPsnGuVTXTIbCl+JHY6Cwyexw1Fw+CR2OAqOsjhxRUVFZBKnIW4Y48aNi/Ic1kf50vLly7O0uhPq6YAc7kTr1wiLeac29u3bN8ozZ9MDp5XnMCfSOjk6o55WoHyf+Zw+t/JE1q0y91fTwsaiRYsWkb6d6+WIm0DtUzSefvrpLK261aFDh2Zp3ctQ10c+1Fv1+Zq/+uqrs/TEiROjMg1/w++DcmBtw913352l1eWST7OcMGFCVHbNNddE+VtvvTVL656Nvh+c132ZPPhK7HAUHD6JHY6Coyxxurq6OhKhWKxUDxJVBbB4qCZlbFqpQdM16Dt7UalIpIebjR49OkurSZ5u5+th5oyBAwdGeRbLFixYEJWx2KhqLValAbGoqgdZqzqCvcRY9G5qdVMIIWo30xAV3VWtyJFKNbILHw6vqjb1EmJ1pIqgap7K/X3HHXdEZaoCY/Fa61S1J1M1fbcff/zxLD1mzJioTGkkR2hRKqCHzrGnnwePdzh+QPBJ7HAUHD6JHY6Co+xolyzXs0memscp51C1AoNVCqyKAmpHfTz11FOzdH0mmnyvN998MypjM0sgdlVUtRG7xgH5nJQPzVq8eHFUxicHALE5pz6Lqmj4YLPdPSlgd8A8TbmhunfyKR8adeWss87K0nziB1B7H4T3L1S9p/1yww03ZOnp06dHZTNnzozyc+bMydJ6ConyUz7MXtvw4osvZunbbrstKrvpppui/OTJk7O0qjnzDjL3EyAcjh8QfBI7HAVHWeJ027ZtI5GQ1R4aKE+texhqacWqC7aGAWqrMWbPnp2lVYTXAHzsDaPiE3vqALG4qmKiejGxukytz9gzRUVKfW6mJiqWq4cLRzFRS6mmREVFRSQ+cp8q1bnrrrui/KxZs7L0iBEjojKmKCNHjozK9Fm5f1WUVQ8oVvedeOKJUZke6sbvgx6Ep2Cx/dJLL43KTjvttCxdn4jM3lB8DjdQO3qLvmcNha/EDkfB4ZPY4Sg4fBI7HAVH2WaXbK7IafXCUTNGNjnUCJYcKUP5kfIE5qDKP1RVwRxJeaSaUrKJnj6Lmmiyx4sGPmcPIA0Wr54yrI5SlYIeVs3PreZ7TYnNmzdHh2rzvsNjjz0WXTtjxowoz/2kh5Cx2eWkSZOisvHjx0d5VulpwPVLLrkkyrPqUtWYarrI/V9ff/PY6H24T9SEWA9U4/bru9KnT58oz9Fc8syAFb4SOxwFh09ih6Pg8EnscBQcZUf2YB7KumA1TdSTA1jvpjzitddey9J5B6gBMbdWXa9GjGT3svp0tlyvclfWIQPxs+SZfmr0EG0vt4FNWIHa+lAGc+09caAa9wX3v+pWdRzZ/VT7l3W/uu+h/JRdGtVFU/c2WL+urqiq72dOf/7550dlqlNWV1AGj7/yZT1gjfX7utfCvBuI3zM9zSQPvhI7HAWHT2KHo+AoS5xu37595N3Bahk1pVORlMU+VRvxtRoYj+sDYjWSqonyzC45wB4AbNy4McqzOKtisIpl/Nwq7nEbVMWkZ+Cyqo1FSCD2uAHiAHysStF+bixatmwZUQ8Wdc8888zoWlWRcDQPFXuZXqn5oZqccj/pmGrQf4a+V3otn/+rUWFYBQbE9FAjhEydOjVL62F7rJ7TOpU2qEkpl6uonQdfiR2OgsMnscNRcPgkdjgKjrI48Y4dOyL3KeZmeaaU9V3LXEAPDtcDy9h0TQ/MUhUIH+KsJprKTzhY98KFC6My5au8/a8ujtwmVT+peyarZDSqZ54LHnO/vIOzdwchhKgvuP81SqX206hRo7K0Piu77KlaTN352DVVOaea1jKfVq6tEVrYdDXvcDsgf5+mc+fOWZqjmQC194Y4GgpHydT2APG+gZq45sFXYoej4PBJ7HAUHD6JHY6CoyxCVVVVFblssWla3gHfQKxrVR0Yc1k1u1R9I5vsqQ5RdaZs5qahUDScEPNA5cB5kShVh8yHTiv3U70x66bVhFFd8Pi+zKU0AmVjUVlZGZmvstujnuqhoZNYZ666X90HYagZJh9gpv2gprXs/qiuiP3794/yXK4nPii4/cOHD4/K+FnOOeecqEz3gljHrLYKfJAgADzwwANZWt/tPPhK7HAUHD6JHY6Co2wvplIePCzuAbU9NlhVoKIVi7KqWlERicVHPcNV1S0s7qtqQs//5fapyKYiEoviKv4zrVCKoSoQFrU0WoeaNHKd3J6mPlBND83j/lfzQw2Gz+OqkTK4v5UiPfroo1GezSVVhNd3h9ugKkY1reR+U7WWvndcj3o0MW3QqC/6bKyOVG+4wYMHR3l+FjYZBoBp06ahFHwldjgKDp/EDkfB4ZPY4Sg4TPle7sVm6wAsr/dCx3eJHiGE/OMMyoCPcbNFyXEuaxI7HI7mBxenHY6Cwyexw1Fw+CR2OAoOn8QOR8Hhk9jhKDh8EjscBYdPYoej4PBJ7HAUHD6JHY6C4/8BJbjGwg4/XIsAAAAASUVORK5CYII=\n", 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\n", 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\n", 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pU6agEu69994irZ4y6r3z7LPPFumJEye6MlWXMMdkrq+8u6toaWlxfcDB8ZUbKlgVp15i7Kmk6iflz6z+u/LKK13ZrFmzXJ75s74LVRtxxBAtO+ecc1AJGmGT0ZGXF78/HXPKy1k9qabJ1RArcSBQcsQkDgRKjpjEgUDJURMnTilVjCShMjy7YAFez6luX1ymUC7L7o/Krc844wyX//nPf16k1cRNI1Gy+aTq8zQqCGPatGkuz3riJ5980pXpO2EzPObvQFuu9cADDxRp1o93d2SP5uZmt9ehbWaoG+QhhxxSpHU8cF77VE+WYHfD888/v+J9AP9eOjKB5Hel186dO9fl+fQQPpgP8HxaI5ioSSnzXo0Qc/nll7s876HoySfVECtxIFByxCQOBEqOmsTpXr16ueB4bPKmweI1+BmLXrq9z4HRlyzxB6KruML1dGQGyKIttxuoru7R6AwaEJwjPXAwPsCb76m6TE0I2cRU1SwqxvL7ZHFaKUVX0bt3b1cXi9bVVC2AFx3V/JC935Q+qZcYQ010L7zwQpfn9qmoraos9o7Sa7n/tU0aTYQ9zu644w5XdsEFF7g8B5pX2qC0gsedmqJWQ6zEgUDJEZM4ECg5YhIHAiVHTZx4w4YNzt2Pt9P1YG7ltuxqp1yRt/45QiXQlocxf1beoG6B3D5VMSkn5vapakJd3Dgix3PPPefK2CRSea1G8mS+31HQ/COOOKJIM3/r7kPGU0ruvTHnrKZqA3w/snks4PtC3VaVn7Ibq/Y/q7EA4Ic//GHF9qmZI++Z6Pv95S9/6fI6lhhsvlktQL1CxwPzZcC/o1pcTGMlDgRKjpjEgUDJEZM4ECg5auLEvXv3diFmWH+qnFMPwmKOrHpB1ksqj1F3Qw7XoxE2VRfMekLlnMpP2QzzuOOOc2UaKfOpp54q0qoPZdM5vg5oqwtmHa+6P/KBXoDnSBwVkfnZ1oA+H0N5JZ9aoZEd+Vrlm9qPDOXP2hdjx44t0rqXofyU32FHrojMT3WsHH/88UVa9yR4zwbw40rtD9jOAgBOO+20im2vhliJA4GSIyZxIFBy1CROr1+/3pnMjRs3ruK1GpydVVOqNmCRQ8VnNXljcUW9aDS6CIsvrBZqDxwVRCMz6n1ZVaCiIHuq6Pc0oqIGl2ewtxbgqQvTke72Yqqrq3PiLt9f1R4a0JwjUWokR76nRilVcZXfqXr+qKkiq430virqcr6ah5NCDyVgyvSVr3zFlan6lMe9mgXroWlMOWo5FzpW4kCg5IhJHAiUHDGJA4GSoyZOXF9f704HYH7KB6YBbVUfrF5Rk0c+AFx5jJo1VuOceoAWQ81AlYexikfLNCoho9qBX6oO0VMxmMPpAdTq/sicnvlcd3PiavecPXu2y+tB6LxHctttt7myr371q0Va1Yg6dvg96Z6DqulYFaQ8V8F9peNM78uc9L777nNlrLpUF0Y9GI/7VSOaqpslP2tHz+La2ukrA4FAj0RM4kCg5IhJHAiUHDVzYtaRsi6TuTLQllfp6QwM1hurSaaaxzFH5oO3gbYRLFlXrXpiPdiazfuUs//2t791+aOPPrpIV9M36ikOqmdlU1DlZBpahuthlzt9P12FmTkuz32sbbrkkktcnjmn6sT5VEp9D3pfdjFV80PVn/K+iJ6oqe+Uy/U+anPAnFmjs/Jz/uUvf3FlV199dcX2KX8+9dRTXX78+PFFWvcJqiFW4kCg5IhJHAiUHDXJYps2bXJb5rydfvLJJ7trVS3DBzxr9A4WQR966CFXxpElAR9pQr2EjjrqKJdncW/ChAmubNSoUS7PIr2K3mpCOHTo0CKtZnYc/ZCvA4AnnnjC5Tn6pdahIueYMWParbMW87zOgmkJ95tCzRwZ1drVkYcOUya9j74XVsuod1RHB6x19lpVDTI6iqzCYjp74LWX52epptZUxEocCJQcMYkDgZIjJnEgUHLUxImbm5tdZEJWoagJXrWoGxrdkE3nlEeqaSXzSI1uqGqNYcOGtdtWoK3a4OCDDy7SehAalwF++195DXNbPfFBo2TwtXqSAx9ODXgVHZueqlqtq9i4caOLKsIqRTUj1WguzFe1/bzvoW1W9SQfaMeRO4C2/chqRI0eqRyYea9yYH02PmnkzjvvdGUcGVVVQeo6yeOX93OAtvNAzX07i1iJA4GSIyZxIFByxCQOBEqOmjhxQ0OD46EcKkVPL1TdGuuUNSzNH//4xyLNPBYAzjvvPJdnrqIHOmtES9a1KT/SyIOsc1bdqJ7ix5xRTf34sHI1C1VXPj49QPXsGp6H9aXM/ZXbdRUNDQ3OxZR1uvxsQNs+537U/ufop+qKqCa6fKi3msBq/qKLLirSZ599tivT8Dc8BpQDaxtuuOGGIq37Pewmevrpp7uyiy++2OWvuuqqIq06bz3NgvO6F1QNsRIHAiVHTOJAoOSoSZxet24d5s+fX+R5y5y33YG2h5BxdAT1LmHTNY2ioGoZVsWoGotVE4Df/lcvKj3wmcViVSmpiM/RD6tFatTIDXwoGuCjPqj5poqc/GxMR9T7pqtIKTmPKVYbab+p6WqlA+gBb06rNEPVffwOVQTVd8pi+nXXXefKVAXG4rXWqSakTNWUMt1zzz1FeurUqa6MA/sDXs2oVEAPneN+jeDxgcA/EGISBwIlR0ziQKDksFo41S677JJOOukkzhdpdS9UTszmcmqSx1EflJu88sorLs8Huilf0mtZzaHmenoKBW/p62HQyk+ZI6mKh9VcynOnTJni8qzK0ZMN9GAujgjK/Pimm27C8uXLu832csyYMemuu+4q8rxfoSaFeujbvHnzirTukbCboKrs1IWQ+1jVkaq64kgwM2bMcGU333yzy7OKSc17lZ/yfoq6x86ZM6dIK7+/4oorXJ6jlKgbpT43t09NNIcPH96UUmr3yJVYiQOBkiMmcSBQctSkYmpsbHRWOyw66pa4qmVYDFJrGRa9VPWjVi0cBF5FNo5+AfgDv1R81u3+aoH81NqL6YCKYWyVpbRBRUFWMen70qD5rKpgEa27I3vU1dU5sZnfm9KV66+/3uVnzZpVpPVQOj6veNKkSa5MvXnYq0lFePWA4r7RyC4aLaWSmq49cF+p1eBnPvOZIt2RiMwWhkwTgLaHDqpXXmcRK3EgUHLEJA4ESo6YxIFAyVETJ+7Tp0+bg75awTwN8MHYAa+C0miSHB1DeaRyV1b/NDU1uTJVeTAHUV6rh5dzVAhVR7E5IQA8+OCDRVojbrIHlB4qx15L2ibdU9B9A1ZBMS9Uk8CuYu3atc6slCNr/P73v3fXzpw50+XZBFXNZ1lNM336dFd22mmnuTzvB2jA9XPPPdflWf2nqkB9p+yppHsJqg5kLze9D78TjUqpB6px+zVI/ogRI1ye1XnV9mgUsRIHAiVHTOJAoOSISRwIlBw1ceINGzZg8eLFRZ5N11QHqm6CzA+VnzJXUA7MpnytbWiFHr6memN2W1TzODVzZPc7LdMDwJlP6QkA7P6mnEd5LuvENSoJv2fA68CZk3V3tEszc8/EemLVrSof5L0EjbrCul/VCys/5T0I3bvQaCJs9spuskDbd8qc/swzz3RlqlNWs0cGj3Xly3rAGuv/dd9Io8uw262a3VZDrMSBQMkRkzgQKDlqEqf32GMPd0gZq5HUrFEDj7FaSdUiLE5ppAyNwMAiiW7Zs4mblmuAchV1WcS//fbbXZlG+mBxW2kDq0f07GINbs/lel6yBqVn8Y7FMK2jq2hsbHS0hPvmxBNPdNfqO+RoHir2supNzQ/VE4w963RcscebQs0W9Vo+/1epjXoqcT9qhJBrr722SOuYY/Wc1qm0QU1KuVxF7WqIlTgQKDliEgcCJUdM4kCg5KiJE7e0tDhex9EP1VRR1TJs1qb8j+V/VU1oEG02rVN1lPJn5mh6H3UhY87MPAZoG8idozyqCSnz5QULFrgyvZZNSJUva3QR5kvdHTCekVJy74pNRVVNt3DhQpefPHlykdZA8/y+lcdrX/C4Us6p44rfhXJtdn8EvEmvPouC93T0gD3uY1WBqpsl7/9wlExtD+D3DdTEtRpiJQ4ESo6YxIFAyRGTOBAoOWrixGvWrMHcuXOL/MiRI4u08kYNq8N6Tw1LwuaR6k6m3JA5kOr29EBq1sOpXlBdvZiXqY5TeRjntYy5reo41ZyTdcyqM9TTFtjEtdqhcl1FfX2927PgfQfd99ATINhEUnm7cn6GmmHyAWbqiqj7KWxXoGNHI7ByuUZVVXD7J0yY4Mr4WU455RRXptFjWcesprQcagrw9gk6dqohVuJAoOSISRwIlBw1idPq4cLRJFUto+IKb9OrNwyrHFTE0LOCWWyfOHGiK1u0aJHL8/a+ms5pnsUXFdlUZGWxSNUj7JmkJpkq7vE7UlNUFf/5WjYvVI+wrqKlpcXRCW6zvrPRo0e7PIuZGimDVXhKV+6++26XZ3NJFeFVLOc26LjSd8iirvab0hmuRz2amDaombA+G3sj6eGAHE0G8M+ihwPeeOONqIRYiQOBkiMmcSBQcsQkDgRKjpoOVDOztwEs6fDCwMeJoSml6scZ1IDo4x6Liv1c0yQOBAI9DyFOBwIlR0ziQKDkiEkcCJQcMYkDgZIjJnEgUHLEJA4ESo6YxIFAyRGTOBAoOWISBwIlx/8Dxt/omnjDOLsAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "ename": "IndexError", - "evalue": "list index out of range", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0mshow_prediction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf\"epoch={epoch}\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mds_test\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m 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} - }, - "outputs": [], - "source": [ - "traverse(model=model, ds=ds_train)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-15T03:07:51.397762Z", - "start_time": "2020-10-15T03:07:51.394444Z" - }, - "lines_to_next_cell": 2 - }, - "source": [ - "# (extra) Dataset: Fossils" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-16T04:22:39.074354Z", - "start_time": "2020-10-16T04:22:39.069600Z" - }, - "scrolled": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-16T08:29:37.266797Z", - "start_time": "2020-10-16T08:29:37.126427Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "439\n", - "147\n" - ] - }, - { - "data": { - "text/plain": [ - "torch.Size([1, 28, 28])" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "\n", - "class FossilDataset(Dataset):\n", - " def __init__(self, path, transform=None, split='train'):\n", - "\n", - " self.root_dir = Path(path)\n", - " self.transform = transform\n", - " self.x = (np.load(path/f'X_{split}.npy') * 255).astype(np.uint8)[:, 0]\n", - " self.y = np.load(path/f'y_{split}.npy')\n", - "\n", - " def __len__(self):\n", - " return len(self.x)\n", - "\n", - " def __getitem__(self, idx):\n", - " if torch.is_tensor(idx):\n", - " idx = idx.tolist()\n", - "\n", - " output = self.x[idx]\n", - " if self.transform:\n", - " output = self.transform(output)\n", - " return output\n", - "\n", - " def show(self, idx):\n", - " plt.imshow(self.x[idx], \"gray\")\n", - "\n", - " def sample(self, n):\n", - " idx = np.random.randint(0, len(self), n)\n", - " return self[idx]\n", - "\n", - "path = Path(\"../../data/processed/fossil_image_classification/\")\n", - "transform = transforms.Compose([\n", - " transforms.ToPILImage(),\n", - " transforms.RandomVerticalFlip(),\n", - " transforms.RandomHorizontalFlip(), \n", - " transforms.Resize((28, 28)),\n", - " transforms.RandomResizedCrop((28, 28)),\n", - " transforms.ToTensor(),\n", - "])\n", - "ds_train = FossilDataset(path, split='train', transform=transform)\n", - "transform = transforms.Compose([\n", - " transforms.ToPILImage(),\n", - " transforms.Resize((28, 28)),\n", - " transforms.ToTensor(),\n", - "])\n", - "ds_test = FossilDataset(path, split='val', transform=transform)\n", - "print(len(ds_train))\n", - "print(len(ds_test))\n", - "\n", - "batch_size=10\n", - "train_loader = torch.utils.data.DataLoader(ds_train, batch_size, shuffle=True)\n", - "test_loader = torch.utils.data.DataLoader(ds_test, batch_size)\n", - "\n", - "plt.imshow(ds_train[10][0], 'gray')\n", - "ds_train[1].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-16T08:29:59.431006Z", - "start_time": "2020-10-16T08:29:37.309978Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "====================================================================================\n", - " Kernel Shape Output Shape Params \\\n", - "Layer \n", - "0_encoder.Conv2d_0 [1, 32, 4, 4] [1, 32, 13, 13] 544.0 \n", - "1_encoder.BatchNorm2d_1 [32] [1, 32, 13, 13] 64.0 \n", - "2_encoder.ReLU_2 - [1, 32, 13, 13] - \n", - "3_encoder.Conv2d_3 [32, 64, 4, 4] [1, 64, 5, 5] 32.832k \n", - "4_encoder.BatchNorm2d_4 [64] [1, 64, 5, 5] 128.0 \n", - "5_encoder.ReLU_5 - [1, 64, 5, 5] - \n", - "6_encoder.Conv2d_6 [64, 128, 5, 5] [1, 128, 1, 1] 204.928k \n", - "7_encoder.ReLU_7 - [1, 128, 1, 1] - \n", - "8_encoder.Flatten_8 - [1, 128] - \n", - "9_fc11 [128, 2] [1, 2] 258.0 \n", - "10_fc12 [128, 2] [1, 2] 258.0 \n", - "11_fc2 [2, 128] [1, 128] 384.0 \n", - "12_decoder.ConvTranspose2d_0 [128, 128, 3, 3] [1, 128, 3, 3] 147.584k \n", - "13_decoder.BatchNorm2d_1 [128] [1, 128, 3, 3] 256.0 \n", - "14_decoder.ReLU_2 - [1, 128, 3, 3] - \n", - "15_decoder.ConvTranspose2d_3 [64, 128, 3, 3] [1, 64, 7, 7] 73.792k \n", - "16_decoder.BatchNorm2d_4 [64] [1, 64, 7, 7] 128.0 \n", - "17_decoder.ReLU_5 - [1, 64, 7, 7] - \n", - "18_decoder.ConvTranspose2d_6 [32, 64, 2, 2] [1, 32, 14, 14] 8.224k \n", - "19_decoder.BatchNorm2d_7 [32] [1, 32, 14, 14] 64.0 \n", - "20_decoder.ReLU_8 - [1, 32, 14, 14] - \n", - "21_decoder.ConvTranspose2d_9 [1, 32, 2, 2] [1, 1, 28, 28] 129.0 \n", - "22_decoder.Sigmoid_10 - [1, 1, 28, 28] - \n", - "\n", - " Mult-Adds \n", - "Layer \n", - "0_encoder.Conv2d_0 86.528k \n", - "1_encoder.BatchNorm2d_1 32.0 \n", - "2_encoder.ReLU_2 - \n", - "3_encoder.Conv2d_3 819.2k \n", - "4_encoder.BatchNorm2d_4 64.0 \n", - "5_encoder.ReLU_5 - \n", - "6_encoder.Conv2d_6 204.8k \n", - "7_encoder.ReLU_7 - \n", - "8_encoder.Flatten_8 - \n", - "9_fc11 256.0 \n", - "10_fc12 256.0 \n", - "11_fc2 256.0 \n", - "12_decoder.ConvTranspose2d_0 1.327104M \n", - "13_decoder.BatchNorm2d_1 128.0 \n", - "14_decoder.ReLU_2 - \n", - "15_decoder.ConvTranspose2d_3 3.612672M \n", - "16_decoder.BatchNorm2d_4 64.0 \n", - "17_decoder.ReLU_5 - \n", - "18_decoder.ConvTranspose2d_6 1.605632M \n", - "19_decoder.BatchNorm2d_7 32.0 \n", - "20_decoder.ReLU_8 - \n", - "21_decoder.ConvTranspose2d_9 100.352k \n", - "22_decoder.Sigmoid_10 - \n", - "------------------------------------------------------------------------------------\n", - " Totals\n", - "Total params 469.573k\n", - "Trainable params 469.573k\n", - "Non-trainable params 0.0\n", - "Mult-Adds 7.757376M\n", - "====================================================================================\n" - ] - }, - { - "data": { - "image/png": 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\n", 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HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#2 Train loss: 514.632325.764355 \n", - "#2 Test loss: 489.6301\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#3 Train loss: 513.179702.497705 \n", - "#3 Test loss: 490.5463\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#4 Train loss: 509.583610.344775 \n", - "#4 Test loss: 497.2203\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#5 Train loss: 510.804210.577637 \n", - "#5 Test loss: 490.4513\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#6 Train loss: 509.256789.331396 \n", - "#6 Test loss: 489.9379\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#7 Train loss: 510.253028.133789 \n", - "#7 Test loss: 490.4972\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#8 Train loss: 508.093109.103564 \n", - "#8 Test loss: 491.2008\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#9 Train loss: 507.974897.855420 \n", - "#9 Test loss: 488.6236\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#10 Train loss: 508.106993.173340 \n", - "#10 Test loss: 488.1978\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#11 Train loss: 510.343230.884131 \n", - "#11 Test loss: 490.3159\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#12 Train loss: 510.378408.453955 \n", - "#12 Test loss: 489.6072\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#13 Train loss: 506.972611.065430 \n", - "#13 Test loss: 485.9612\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#14 Train loss: 507.580099.309717 \n", - "#14 Test loss: 486.3321\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#15 Train loss: 508.016416.166064 \n", - "#15 Test loss: 487.3126\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#16 Train loss: 506.335112.397656 \n", - "#16 Test loss: 484.5097\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#17 Train loss: 508.091708.353760 \n", - "#17 Test loss: 485.2701\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#18 Train loss: 508.288998.212988 \n", - "#18 Test loss: 485.6661\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#19 Train loss: 509.165034.099170 \n", - "#19 Test loss: 485.8453\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#20 Train loss: 507.991402.804102 \n", - "#20 Test loss: 486.5699\n" - ] - }, - { - "data": { - "image/png": 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NGzcmaawrc2GMQKqD1Uer0x9Zh+sXQHQ6J4+36LRFrXOOOdDrrl27tt7Wd05jDFjD6zN55plnkn2u1/PPPx9DxXtixykcb8SOUzgth12yqcWmpM5EYTMHSM0pdpEAqWmj56lJyuaKzqpRE5kX0tPwPQ0ZZVNGTSuddcVmpKadcsop9baafuou4Tx18XiVFTNmzKi3eXZWu81phetYV1J59dVXk302LdX9x+9HbnUOvY7WhcqX3EJ0Tz75ZLL/xBNPoBFqXvP7quVjE1lN7VxY6JFHHpmk6T6/2xrSmsN7YscpHG/EjlM43ogdp3Ba/sg42+2sV3JhjP3n9qND/xyOpithqq5kN4GGJqruZc2sx6rWYheTamvdZ03H7gYg/3E4Dbtjfad55J4f683caooHgq5oylpdwxr1/nILnvO56j5TOH+9pr47zz77bL39wAMPZI9lF4+WQTUx62sd72GXqK7Wcuqppyb7HMKreV533XXJ/mmnnVZva6hnDu+JHadwvBE7TuF4I3acwmnZT8x2Pes0XZ1R/Wesn3SZkty0RfUp5qbe5T5upcv8qM5hbaM6U8MNWafPmzcvSWMdrj5DnYLH11FfpH4tgmE/ezN92Sq6BBOvbqrPTOuc3wf1n7O2VV9vLkT37rvvTtLuv//+ZJ81u+pnfR94X+9Fy8TTT3X6Y24VTV0iqqurq96+6qqrkjT+KgaQjpnklr5SvCd2nMLxRuw4hTOsD6px96/miZqkbAbrjCJ2K6lJpKF0fB01a9SFw2ahzhLS8E5GTdTc6pfqCmCzXN1jKgW4vM1WKeFnxCZkuxeP7+joSNxd7ELT56Amf87M5Gf2yCOPJGnsJgKAxx57rN7WmVK5cFR106lLjN8tdY+p6c3PW9PY1NaP7+lqLpdddlm9reaz3gvXeSvhtN4TO07heCN2nMLxRuw4hdOSJgZSvchaQafSqX4aqnZTraKuCtaOzY7NuV80zI7Lp9paV8pkLaO6N/d1i5yGVHdUM812sOjt7U1cajwlTqciap3z1zDUxbhs2bJ6W/W+hpjyOINO11M4BFJRzXnyySfX21rHunoLn6vvFZ/LU08B4Oqrr072OQxT71PDhLnNaDhnDu+JHadwvBE7TuF4I3acwhlW2CXb+OrPzX1JUDUGa0XVKuqHZd2geajmzH0pQY9lra3H6pQ2XrUyFx6nulanWbLWzj0TINWRemw7CSEk95+bLqllnD17dr2t986+1bvuuitJu/DCC5N91pH6Xr344ovJ/sqVK+ttDedVPc1an7/iMNi55513Xr2tK0/yc1B9r+Mn/L6qH12/LJILIc3hPbHjFI43YscpnGEtHs9mnbpI1CzmfTUV2CxWk0NXDGGzR8P11K3FZq+Gw2l5eaaKrtbBM1GA1K2hqxKyxNDZL2pi8mojep9qurLrqtFMsnYQQkjqiu9VZ5vpM2XzVV0//LxvvvnmJE0/vt7og+oAsGjRomQ/t2KIyiJ+7/Qd1OfN0iBnIqu5r8+I603dkRpqy2VSd1QO74kdp3C8ETtO4XgjdpzCaUkTjxo1KnHbcNiYDrXr8H5uyDy3sod+LYK1I3/hARi4AgdrNtWcGnbJ5VUNrOfyB7P1vlj3aAhmZ2cnGqFTJVU/sd5jndhud5OZJTqPr69T+3T8QnUlw26jK664IknTsQyuR11xQ91avLKKvoOqVzm0Vt85zYc1qdYj56MuUH2veFykWagnT2vU+s/hPbHjFI43YscpHG/EjlM4LWni3t7eRB+wPsn5NQHg+OOPr7fVB8ZL5aj+1FUq2S+qfkD1u7E+UY2h2opDIlVnqu5hna6aeOHChfW2ajQNs+Py6dQ9XUmS/aysIQ/GFyBYO86aNave1qlz6iPn6ZI8bgCk/t3cFxMBNPzIOTCwzvm9Uw2s9cb5qH9d30muVw2X5fJpefQ6PJbRbAyBlxrKrXaqeE/sOIXjjdhxCqclc3rMmDFJqCDPulBTQRdKZ1Mm99E0NSPYxADSUEo12fUj0hyiqWaZ7rMrQM3gmTNnJvvsulqxYkWSxuVX81mvy+b0ggULkjQ19xqtoqnXHC7jxo1LwiDZ7fHSSy8lx6rJz/erLsbcyiQ6E4xNWXUFqQuH99V81neJ30E9VmURm8W50FZdgUPzzH0YTeuO99XllcN7YscpHG/EjlM43ogdp3Ba/gIED6mzbtDwSNU5PNSeW8lPh+x1NcGHHnqo3latqtPUOHxPwxpVs7FbSbVKblWQc889N0lj3aX6Ta/LeeqYQk77sStFp+oNl927d2PVqlX1Pk/DO/PMM5NjzzrrrGSf3WDqjnruuefqbR7XAAZqTtbPmqb7rGU3bNiQpOk7qKt35K7L9ajPmOtRx1b0PeM61vdIXWK58uTwnthxCscbseMUzrAWymNXh87QUFOBzW2NyuJzdRUFdSMdd9xx9bYuYKcuHd5X80RNLzav1ZTVj2axWaRRN2wWq8TQlSfYraUuBT2WTUw253MfMTtQGkVMLVmyJDlOJQk/i4cffjhJu+eee+ptdRueffbZyT6/O7pAvZqkOReOPptGq6MMdmzO1GU02kzfldwsMz2X81QzPYf3xI5TON6IHadwvBE7TuG07GJq9GE0dRupVmHdq5qT9Z66BTQ/1l3qqsiFzqmbgD+upek6o0i1ra5i2ShP1Vkaepj7qLQey9qK3Rjt1sRax/y8NS+tG76fCy64IEnj1SN1TGTjxo3J/kknnVRva/hubjxFZ7zpe8bl17Kr1uZ0PZbHL3QcRo/NuQA1jTVxbpUUxXtixykcb8SOUzjeiB2ncFqO2WNdwdospymAdBUITeOVPVR/Kjkfra6qwP5IndKW+7KE6hydOsn6X9P4OupH1WeUm0aofkreH+oH2w+E0aNHJ7763PS4XEikhsQy6qNVbcjPSetNxz34XF29pdlKmbky5UI0Obw0F64JpO2l2bFMK+G03hM7TuF4I3acwmnJnO7o6EhMEjaZ1DxV04X31QTlReDVxFCXE7sNNCRTXSA5U0vdD2zGa/n0w2E5VwWbcM1C9/iZqEuOV1DRfNjEbbeLqaOjI5EpXEaVK2rysembu3d2NwEDXUN8rxp+mPsIgdZFzt2j4ZBa3tzi7XwdNfebzbrKpbFJr+Z9Du+JHadwvBE7TuF4I3acwml5tUvWwbx6g+ojHaJn3aOuFdZdqhNyKwIqGqrIi5TrguWqOVgTqT5SVxa7GFS7sm7UPLXsuYXPVbPxuRz22Yp2GgohhETX56Zo6thBbjyAV8ZUXavTWPk6Od3YX95+moW5Mnqs7nOZcjo351IC0nrT9yG3Yoi7mBznfYQ3YscpHG/EjlM4LU9FZM3HGklD3NS/xxpZp/LxVDTV0rrPfjnVVuo3Vv/uUNEVC1XLctilhlLyc9CPiusKkKx7moUi8vPkJWsOZgimor5//eg4ozoytxSRhqdyHev9ad0w+rz1feBnqJpd9TOXQeuY70XjGHQsg8c9mvnZmVbq1Xtixykcb8SOUzgtr3bJZggPmavJkZsVoiYHzzZi942eB6QmkZojOvuIz1VTRt0jueuoNGDTS90j7EpRM1xlBJuVaqpqnvzM2NRr9/eJzSwpNz8ndZ9omdmc1fpv9NEBYOB3jlkmNZs5xcc2W8id882tQgmkYbBaBn4/1P2Ycw1qG8m9g7k0xXtixykcb8SOUzjeiB2ncKwVTWVmWwB0H7ziOAfAnBDC9OaHDQ2v4xFLw3puqRE7jjPycHPacQrHG7HjFI43YscpHG/EjlM43ogdp3C8ETtO4XgjdpzC8UbsOIXjjdhxCuf/AXPjFrh0xc7nAAAAAElFTkSuQmCC\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#21 Train loss: 510.117095.401270 \n", - "#21 Test loss: 485.0894\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#22 Train loss: 509.994817.948096 \n", - "#22 Test loss: 485.9342\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#23 Train loss: 506.344404.834033 \n", - "#23 Test loss: 485.9711\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#24 Train loss: 506.954828.135840 \n", - "#24 Test loss: 486.5441\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#25 Train loss: 507.024096.838330 \n", - "#25 Test loss: 485.1209\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#26 Train loss: 508.391881.264941 \n", - "#26 Test loss: 485.9183\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#27 Train loss: 508.071721.361914 \n", - "#27 Test loss: 492.2906\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#28 Train loss: 507.000505.090527 \n", - "#28 Test loss: 485.5375\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#29 Train loss: 505.990813.584863 \n", - "#29 Test loss: 487.5021\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#30 Train loss: 506.609617.477344 \n", - "#30 Test loss: 484.4206\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#31 Train loss: 505.145104.405811 \n", - "#31 Test loss: 484.2705\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#32 Train loss: 506.912121.205762 \n", - "#32 Test loss: 483.3326\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#33 Train loss: 506.839492.911719 \n", - "#33 Test loss: 483.6057\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#34 Train loss: 507.127912.654590 \n", - "#34 Test loss: 485.1992\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#35 Train loss: 506.948102.316504 \n", - "#35 Test loss: 485.1685\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e414e7c2e0b649b3a2e112aa51b74ea8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=44.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "#36 [0/439 (0%)]\tLoss: 498.517773 \n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 10\u001b[0m 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"\u001b[0;32m/anaconda/envs/py37_pytorch/lib/python3.7/site-packages/torch/optim/adam.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[0;31m# Decay the first and second moment running average coefficient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 99\u001b[0m \u001b[0mexp_avg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmul_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbeta1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgrad\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mbeta1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 100\u001b[0;31m 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"summary(model, x)\n", - "\n", - "optimizer = optim.Adam(model.parameters(), lr=1e-3)\n", - "\n", - "# training loop\n", - "epochs = 100\n", - "show_prediction(3, title=f\"epoch={0}\", ds=ds_test)\n", - "for epoch in tqdm(range(1, epochs + 1)):\n", - " train_vae(epoch, loss_bce_kld, model, train_loader)\n", - " test_vae(epoch, loss_bce_kld, model, test_loader)\n", - " if epoch%10==0:\n", - " show_prediction(3, title=f\"epoch={epoch}\", ds=ds_test)\n", - " \n", - "traverse(model=model, ds=ds_train, y=1, xmin=-2, xmax=3)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-16T08:30:02.267227Z", - "start_time": "2020-10-16T08:30:01.792384Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 fish\n", - "[False False True False True False True True True False] (10, 2)\n", - "1 ammonites\n", - "[False True False False False False False False False True] (10, 2)\n", - "2 trilobites\n", - "[ True False False True False True False False False False] (10, 2)\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "traverse(model=model, ds=ds_train)" - ] - }, - { - "cell_type": "markdown", + "execution_count": null, "metadata": {}, - "source": [ - "# References\n", - "- [Pytorch examples for VAE](https://github.com/pytorch/examples/tree/master/vae)" - ] + "outputs": [], + "source": [] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, - "source": [ - "# Further Reading\n", - "- [Autoencoders Explained](https://www.youtube.com/watch?v=7mRfwaGGAPg)\n", - "- [Introduction to Variational Autoencoders](https://www.youtube.com/watch?v=9zKuYvjFFS8&t=527s)\n", - "- [U-net](https://www.youtube.com/watch?v=81AvQQnpG4Q)\n", - "- [Understanding Semantic Segmentation](https://towardsdatascience.com/understanding-semantic-segmentation-with-unet-6be4f42d4b47)\n", - "- [Understanding Variation Autoencoders](https://towardsdatascience.com/understanding-variational-autoencoders-vaes-f70510919f73)\n", - "- [Visualizing MNIST using a variational autoencoder](https://www.kaggle.com/rvislaywade/visualizing-mnist-using-a-variational-autoencoder)" - ] + "outputs": [], + "source": [] }, { "cell_type": "code", @@ -5313,7 +3633,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.7.9" }, "toc": { "base_numbering": 1, @@ -5328,7 +3648,7 @@ "height": "calc(100% - 180px)", "left": "10px", "top": "150px", - "width": "383.984px" + "width": "383.983px" }, "toc_section_display": true, "toc_window_display": true diff --git a/notebooks/c09_Autoencoders/Autoencoders.py b/notebooks/c09_Autoencoders/Autoencoders.py index 7bf5565..07e131e 100644 --- a/notebooks/c09_Autoencoders/Autoencoders.py +++ b/notebooks/c09_Autoencoders/Autoencoders.py @@ -339,7 +339,7 @@ def show_prediction(idx, title='', ds=ds_train): def traverse(ds=ds_train, model=model, y=None, xmin=None, xmax=None): # Get the first 1000 images n = min(1000, len(ds)) - idxs = np.random.choice(range(len(ds)), size=10, replace=False) + idxs = np.random.choice(range(len(ds)), size=n, replace=False) x = torch.stack([ds[i] for i in idxs]) ys = np.array([ds.y[i] for i in idxs]) x = x.to(device).float().reshape((-1, 1, 28,28)) @@ -355,10 +355,8 @@ def traverse(ds=ds_train, model=model, y=None, xmin=None, xmax=None): classes = pd.Series(ds.y).unique() for i, cls in enumerate(classes): - print(i, cls) idx = ys == cls - print(idx, res.shape) - plt.scatter(res[idx, 0], res[idx, 1], label=cls, alpha=0.5, s=2) + plt.scatter(res[idx, 0], res[idx, 1], label=cls, alpha=0.5) plt.title('the latent space') plt.xlabel('latent variable 1') plt.ylabel('latent variable 2') @@ -385,7 +383,10 @@ def traverse(ds=ds_train, model=model, y=None, xmin=None, xmax=None): xs = np.linspace(xmin, xmax, n_steps) for xi, x in enumerate(xs): # Decode image at x,y - z = torch.tensor([x, y]).float().to(device)[None, :] + z = torch.zeros((1, res.shape[1])) + z[:, 0] = x + z[:, 1] = y + z = z.float().to(device) img = model.decode(z).cpu().detach().numpy() img = (img.reshape((28, 28)) * 255).astype(np.uint8) @@ -402,8 +403,6 @@ def traverse(ds=ds_train, model=model, y=None, xmin=None, xmax=None): traverse(model=model, ds=ds_train) -# %debug - # Each color represents a number. Despite most numbers overlapping, we can still see some distictions, for instance between $1$ and other numbers. # ## Improving the model @@ -920,12 +919,23 @@ def test_vae(epoch, loss_function, model, test_loader, log_interval=50): # # (extra) Conv # # Encoding and Decoding images is much easier with convolutions because they are aware that pixels are nearby. Lets try with convolutions and see if the loss is lower. +# +# For animations of what convolution layers do see the animations from ["Vincent Dumoulin, Francesco Visin - A guide to convolution arithmetic for deep learning"](https://github.com/vdumoulin/conv_arithmetic). +# +# A convolution layer, with the input below, and the output above: +# +# +# +# A transpose convolution layer: +# +# # + # Let's create our model. Same as before the model has three main sections: class CVAE(nn.Module): + """Convolutional VAE""" def __init__(self, n_latent=2): super(CVAE, self).__init__() # After each layer in the encoder we decrease the size of output and increase the number of channels. @@ -995,151 +1005,12 @@ def forward(self, x): show_prediction(3, title=f"epoch={epoch}") traverse(model=model, ds=ds_train, y=1) - - -# - -# # (extra) DataSet: Micro-CT DeepRockSR - -# + -class Rocks(datasets.ImageFolder): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self.y = np.array([self.classes[i] for i in self.targets]) - - def __getitem__(self, idx): - x, y = super().__getitem__(idx) - return x[:1] - -transform = transforms.Compose([ - transforms.Resize((28, 28)), - transforms.ToTensor(), -]) - -ds_train = Rocks( - "../../data/processed/deep-rock-sr/DeepRockSR-2D/", - is_valid_file=lambda f: ("train_LR_default_X4" in f) and not ("shuffle" in f), - transform=transform -) -ds_test = Rocks( - "../../data/processed/deep-rock-sr/DeepRockSR-2D/", - is_valid_file=lambda f: ("test_LR_default_X4" in f) and not ("shuffle" in f), - transform=transform -) -batch_size=32 -train_loader = torch.utils.data.DataLoader(ds_train, batch_size, shuffle=True) -test_loader = torch.utils.data.DataLoader(ds_test, batch_size) -ds_train[0].shape # - - - - -# + -model = CVAE().to(device) -from deep_ml_curriculum.torchsummaryX import summary -x = torch.randn(1, 1, 28, 28).to(device) -summary(model, x) - -optimizer = optim.Adam(model.parameters(), lr=1e-3) - -# training loop -epochs = 10 -show_prediction(3, title=f"epoch={0}", ds=ds_test) -for epoch in tqdm(range(1, epochs + 1)): - train_vae(epoch, loss_bce_kld, model, train_loader) - test_vae(epoch, loss_bce_kld, model, test_loader) - show_prediction(3, title=f"epoch={epoch}", ds=ds_test) - -traverse(model=model, ds=ds_test, y=1, xmin=-2, xmax=3) -# - - -traverse(model=model, ds=ds_train) - -# # (extra) Dataset: Fossils - - - - -# + - - -class FossilDataset(Dataset): - def __init__(self, path, transform=None, split='train'): - - self.root_dir = Path(path) - self.transform = transform - self.x = (np.load(path/f'X_{split}.npy') * 255).astype(np.uint8)[:, 0] - self.y = np.load(path/f'y_{split}.npy') - - def __len__(self): - return len(self.x) - - def __getitem__(self, idx): - if torch.is_tensor(idx): - idx = idx.tolist() - - output = self.x[idx] - if self.transform: - output = self.transform(output) - return output - - def show(self, idx): - plt.imshow(self.x[idx], "gray") - - def sample(self, n): - idx = np.random.randint(0, len(self), n) - return self[idx] - -path = Path("../../data/processed/fossil_image_classification/") -transform = transforms.Compose([ - transforms.ToPILImage(), - transforms.RandomVerticalFlip(), - transforms.RandomHorizontalFlip(), - transforms.Resize((28, 28)), - transforms.RandomResizedCrop((28, 28)), - transforms.ToTensor(), -]) -ds_train = FossilDataset(path, split='train', transform=transform) -transform = transforms.Compose([ - transforms.ToPILImage(), - transforms.Resize((28, 28)), - transforms.ToTensor(), -]) -ds_test = FossilDataset(path, split='val', transform=transform) -print(len(ds_train)) -print(len(ds_test)) - -batch_size=10 -train_loader = torch.utils.data.DataLoader(ds_train, batch_size, shuffle=True) -test_loader = torch.utils.data.DataLoader(ds_test, batch_size) - -plt.imshow(ds_train[10][0], 'gray') -ds_train[1].shape - -# + - -model = CVAE().to(device) -from deep_ml_curriculum.torchsummaryX import summary -x = torch.randn(1, 1, 28, 28).to(device) -summary(model, x) - -optimizer = optim.Adam(model.parameters(), lr=1e-3) - -# training loop -epochs = 100 -show_prediction(3, title=f"epoch={0}", ds=ds_test) -for epoch in tqdm(range(1, epochs + 1)): - train_vae(epoch, loss_bce_kld, model, train_loader) - test_vae(epoch, loss_bce_kld, model, test_loader) - if epoch%10==0: - show_prediction(3, title=f"epoch={epoch}", ds=ds_test) - -traverse(model=model, ds=ds_train, y=1, xmin=-2, xmax=3) -# - - traverse(model=model, ds=ds_train) # # References # - [Pytorch examples for VAE](https://github.com/pytorch/examples/tree/master/vae) +# - [Pytorch CelebVAE](https://github.com/AntixK/PyTorch-VAE) # # Further Reading # - [Autoencoders Explained](https://www.youtube.com/watch?v=7mRfwaGGAPg) @@ -1150,3 +1021,9 @@ def sample(self, n): # - [Visualizing MNIST using a variational autoencoder](https://www.kaggle.com/rvislaywade/visualizing-mnist-using-a-variational-autoencoder) + + + + + +