Split (1)

train · 10k rows

path stringlengths 20 27	task_binary unknown
exercism-python-0009_copy31	"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"
exercism-python-0009_copy32	"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"
exercism-python-0009_copy33	"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"
exercism-python-0009_copy34	"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"
exercism-python-0009_copy35	"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"
exercism-python-0009_copy36	"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"
exercism-python-0009_copy37	"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"
exercism-python-0009_copy38	"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"
exercism-python-0009_copy39	"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"
exercism-python-0009_copy4	"H4sIAE1fq2kC/+0c7XLbNtK/+RSo07nYGYkiJUu200nb9JpOPTd3zTjp9W48HhoiIRI1CTAAGEXX9t1vFyAl2Y6dpHXkNsbOpLIIYLHfuyBWDQfh4Ovn9M33jGZMbX0UiBxc9xlFo73V3/g8jobxcIu82doANNpQBdtv3U8YHpDK8Io9iff3hwejg8lBFB4cTvbGw2Gw5eGTB0P1eWhkVX7EPdCpJ3vo45N4fzyCz714OBotfX5vMtmKx/F4OBnv741i8P/hXrS3RaJN+n/eFDS+YV5GQVTM6E9M/wEBeM2U5lKQJ2Q7DqPtwD48oTkT5tT+jRFCNibRLIVJh1EURu2kihmKonHzaGMKqRJBK4bIXlCRTeUbprfXR1lFeYnDuhv+evlXmMrKTc74bMbTpjQLnFqxjDftSEoNy6VarKFwA4bmGh6e2C8Iy+GefXTa0gzs8hlnytGsGFqASZh4zZUUFTANSGa01OwtvO8PkfdPR/+hz/8+/1/J/9FktL/n8/89AC60UU1qIPyHVXYn+X+ytx9fyv8jqD99/t8EPCBHwiiZORMIgqczwxRZMKo0kTMy42XJRU4gAZKZVJUmkFHJnHIDT3tkIZuHrxnMErQsF4SmrxquWIbPFZlScY5rS54yoVkYvCy4JhWjQuMEQhUjQs5hG0j03CJgJc/5tGTESCJrJhwiORcWWY8UjVJ08VkQ/Befz7jShtSKS8WhTADksCxnhpiCkaOXRC+0YUByU1uqVSME0BO2PFKS0QXyWFAFLEl1bvmB8kIQWirIhwtHA65NS6kZ8JfKRhjdI1STOStL/CxgHCiec1Nkis6hbrArMlZLzY0Og+AFFylzuGVTZuKhIVNGphLIRGHNlZUmMVCIaEcDh1rEMKIl1FEzxZnILG8FK2s7zXLo2AuD7+WcQUkDRFm+fgaLBtGAWiouGpjdI1IwZNQKs0OXlpSDbADRAlUI/BlSwUSQ7k8FLy29D0FDqRQznmFRZJenMmMo6WmT92eKMUevraAAh7QKN4WSTV5YIkuZW9KBI6Cb51C7gUSeFmBiQJillTpz0I2uWWpY1lsnFPeiwA+FSvAzsCC2IBoUBmID7Fw5aaTwHSjkKHvUAyjACrfF0bMKMRJMAx8iy8iWrq2tAnEVPWdLhTkLX9PmTMnKCRzL2tYGSMIFqakCs2VlEoLMJNgQaJdkElhJgQZYA9L4KljJE0w+b8C4C+CIm4ea1MVC89SafsIr2F+j9Sfoalb5qDigD/ZkWrccdwSs7X9RYrpqckAIIsAq1wnXbok8dE6pmhKGEsWsxyZuElJe11LhVK7RYRtQkpDLjZbL23l2MJf9Es1N8xzCQAjmnhdddEDVgMpBGFhX0xKpsiyhv4Fd2o3geyWVkvM2RMwh6BCItY6rkjYCxJkhmilNz9EckpJRbRJr2LCUoSv3wCaN9cowDAOMa8vMptuAgYfdNkyAtEtma31kaenZHWM25oHzw+cAfd/ys2YUvQs+js5lfQdNW1/CiPFkylodgr2B3ioqFvaAA/4PFMzpQpMdLsB7BQOZVnKKBlMXgBJ3akA+1PCUpGD5OdO7vVWABTOZmTmG0sr6UllCRF3uDYxO0W5nzEbnlgJr0BU4FK8x1BYY6/SgVtKOAylACMQOCb67QB5tvJBtMIZpuaJVZSM7FXkDx8TddWMMg+/AetkbihLuERvkgOMFUuIYv87RZJpCfEfEa+i+sGYkmPNUSCSNYi1Sl0DIiaKpjVMZt8o+PZnzc17DiZGewqZmziCIzwuXTQgyaz2h86MpBTYAAVKj2+Qh2Lx7Dio9MhBzrG8DC52TIjVtVhAdri/QZhS1VBCaUyyuwPTttGy5oVXUDM7AgHqN1MekMKbWjwcDJsLl41CqfIDfBsfAZbLk8sGRSDrVXzJ2QmtUWRA8eECevUlZjU/B/7QGVYErvIDAgiW/hhiE3iAY6p3CgdpYYXLHE+uWnu50hGUy1WG9gFO8sHSNBgZsU0HcHTDwX6XDwlTlA0QBWuwvMejdkPzUKQDiIzp9mzicXGlpfQDyZNlkGC0ePcI6AZDMmpJY3B0Djx65dJJxfA8Aem0DmwbjTG2aw29uCcQw4ooOCPB6LYHZmIGWQFGTqHlMrdqGMAia4LIGHMamkoxBqsuxbiBo12C4TavguTVC5OIcy5hliHV7t/TYWIbuT1KmDFgEMYuarSqNtJBoQ8CSE3ybqhHPybThpY3zDiMu1Dcpo+RTBWocrOTu9DGFwrUP+R6de9eFyVbukJGBvJXY14Teihts1EoQ3NHg6xiKrs1UirS2yUM71pGjRjNHumMGygJjg+xNVCtmw2DKBtoG5USbyrSUA66+RdVfotpFWW1jiTHfBorP/k3Lhj1DAZ3ZtGkdfeWSaODWEjDz2JDew+9I5Cr0DNqQRGjl4iZGFpAKJCWoSNCGmKvOnDqlAOOoQZyE26LKlnLkzBJ6ZlGfLVVwZq1rXcJWrM62uEHxdqq/xIwrZLoFPVsmOul2OKi2jEJNYROZkVf2RpN5TEgQBGdnZ07qECzWRNMJJXAkrPbfedjN6qY83A0url0vkm9Yvz7N4VhK9noVvA1ftYqe4FC5LSxQkyCDyCFeoXNZHrIfz9+NqnTFFeZpF/MBG8grCJ6X1BXu6M5lY+MouOMAAuzAv//z7/8+2fd/o+HBvr//uw/Q3d+EP2sp7uj+Lx5Hl9//DaOJf/+3CfglwGsyW6tuPybbbW1X2Ruz7e58hyOuenDPuwoQn7snq9u61TMja55q+H5yGvzmPc3n/+vz/+hq/o99/t9I/t+/mv8Po4ODvbFP//cB7LH2Ix9mwKeH++Pxtfkfff5C/o/2h8O9LTL2/u/Pf17/Gz//HUbgiGN//rs/8R//G+rijs5/k9HwyvkvHvvz3ybgwWeDKReDKdVFgLdffRYE1XnGFenXZIC394OuXTII0pJR0dQ7u+QX2xrJZ+SEfP4VLHpFInL6Bb5/FsvuS5YWkmzH2+TLS4gGis2pykLzxtjJrGu1XK2K3r1qxoPfAqNoTVqyyLP/HL0EIjP7ghbfB79gpqmDmtcjgldxtCxJv/+q4cAnHGexc2D45SBjrweigaFffyVGNcC/I+HYtYu4F/9hGG4H7ZrBymeS7rVwWC9I/zVgN9MnusAb9OGXf4sJYGTsMh92oWxM3RjLTMDecEM+/+X50fNnL14+ffnji5Po9LcNRV9//vPnv7ec/w4PRj7936/8vx7LNpn/43gvvtz/OY4n/vcfGwHsOoNspRc6gH9hTU0RQq5kyuxEPfIQM6m7W31ZMN3dguP1OHYl9XMmsN+FuT4e14yHgrItRo9hVXftn8NwM8Vfdwy6V8zYcDQtWdXHtj/bdGFbFgZGMTaoKBQl3WtmPcBOp357oTxIqZACu+b6y4sL2Ok7bJkqKRDQ1JklSQoyjIajfrTfH0ZB0HLaCG6QziCwbVCIOVlearspO7a++AZGnrqBXgAiCGwHxfrjl4Bmp8MX4re/g4nsPna/X2EzK49EsHm5SPD2m2XdTklBdfI/pmTS3jjvaFbO2pX2pzItRU/W99vZvTweItq1x4glxD4PZZ69ami5083LmVlutdsj0W5wkUjs1ylZ0l7C3xI13eMOaxxFH06qXXSR2K51rSNXb4Ley4Pj38PL+AovXctCIm/PCt6Lj27jnf3xhzMyHF/Lh5nzO2Lk4KbBYXQLXgKRJ8nkyv5W3X6JZq8a14JcLu7CHOP4Zu5vWDq5aeXvMfPh2wQnJHwULD3vZiZylrjOyC4q3rLcLPK15zZFrfFwjH1BemfVGLSLHVVMqRUF6+guMHm9TLDlageQhMs2LJDI2h7Xr7ywKKQq13AO7JHty41Y29dIt9VnwoWRfynJvldI/ZPItREXM/mHSvbTFtUyC2Bt9ZeywfcLeHcnWctuAvmnqyCx5zaZQxmJo84mN2yLlzXwJ5IWjllhud7T5I/57DWW+AfF967S/eNJb70j94oEFbt0VMkkc0amGPav3/KJ5abAdp2h3fbh53Lwwl8HoH+JLvR/uGu9J7fD8V8/gL2jl/qdqUKwHGro1xs5M9yWjPt3K+SLve/vqltuWcC3VMH82UTo+z/8/Y+//2nvf+Jo/9Df/9wHWPu/Hn20LsAP7v+Lo73hxPf/3Z/47/v/7iz+v7X/L44PY9//d9/i/7cyPWdqxku2yft/7AC4cv8fTfzvvzYC3x3/8E/iftv1eBTGUV+XvAp++uH4H98eHbtGuuMf/0VqXq+10AnZT2lasD72CbquOB8sPHjw4MGDBw8ePHjw4MGDBw8ePHjw4MGDBw8ePHjw4MGDh7uD/wOFlaLJAHgAAA=="
exercism-python-0009_copy40	"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"
exercism-python-0009_copy41	"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"
exercism-python-0009_copy42	"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"
exercism-python-0009_copy43	"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"
exercism-python-0009_copy44	"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"
exercism-python-0009_copy45	"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"
exercism-python-0009_copy46	"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"
exercism-python-0009_copy47	"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"
exercism-python-0009_copy48	"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"
exercism-python-0009_copy49	"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"
exercism-python-0009_copy5	"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"
exercism-python-0009_copy50	"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"
exercism-python-0009_copy51	"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"
exercism-python-0009_copy52	"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"
exercism-python-0009_copy53	"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"
exercism-python-0009_copy54	"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"
exercism-python-0009_copy55	"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"
exercism-python-0009_copy56	"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"
exercism-python-0009_copy57	"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"
exercism-python-0009_copy58	"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"
exercism-python-0009_copy59	"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"
exercism-python-0009_copy6	"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"
exercism-python-0009_copy60	"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"
exercism-python-0009_copy61	"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"
exercism-python-0009_copy62	"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"
exercism-python-0009_copy63	"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"
exercism-python-0009_copy64	"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"
exercism-python-0009_copy65	"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"
exercism-python-0009_copy66	"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"
exercism-python-0009_copy67	"H4sIAE1fq2kC/+0c7XLbNtK/+RSo07nYGYkiJUu200nb9JpOPTd3zTjp9W48HhoiIRI1CTAAGEXX9t1vFyAl2Y6dpHXkNsbOpLIIYLHfuyBWDQfh4Ovn9M33jGZMbX0UiBxc9xlFo73V3/g8jobxcIu82doANNpQBdtv3U8YHpDK8Io9iff3hwejg8lBFB4cTvbGw2Gw5eGTB0P1eWhkVX7EPdCpJ3vo45N4fzyCz714OBotfX5vMtmKx/F4OBnv741i8P/hXrS3RaJN+n/eFDS+YV5GQVTM6E9M/wEBeM2U5lKQJ2Q7DqPtwD48oTkT5tT+jRFCNibRLIVJh1EURu2kihmKonHzaGMKqRJBK4bIXlCRTeUbprfXR1lFeYnDuhv+evlXmMrKTc74bMbTpjQLnFqxjDftSEoNy6VarKFwA4bmGh6e2C8Iy+GefXTa0gzs8hlnytGsGFqASZh4zZUUFTANSGa01OwtvO8PkfdPR/+hz/8+/1/J/9FktL/n8/89AC60UU1qIPyHVXYn+X+ytx9fyv8jqD99/t8EPCBHwiiZORMIgqczwxRZMKo0kTMy42XJRU4gAZKZVJUmkFHJnHIDT3tkIZuHrxnMErQsF4SmrxquWIbPFZlScY5rS54yoVkYvCy4JhWjQuMEQhUjQs5hG0j03CJgJc/5tGTESCJrJhwiORcWWY8UjVJ08VkQ/Befz7jShtSKS8WhTADksCxnhpiCkaOXRC+0YUByU1uqVSME0BO2PFKS0QXyWFAFLEl1bvmB8kIQWirIhwtHA65NS6kZ8JfKRhjdI1STOStL/CxgHCiec1Nkis6hbrArMlZLzY0Og+AFFylzuGVTZuKhIVNGphLIRGHNlZUmMVCIaEcDh1rEMKIl1FEzxZnILG8FK2s7zXLo2AuD7+WcQUkDRFm+fgaLBtGAWiouGpjdI1IwZNQKs0OXlpSDbADRAlUI/BlSwUSQ7k8FLy29D0FDqRQznmFRZJenMmMo6WmT92eKMUevraAAh7QKN4WSTV5YIkuZW9KBI6Cb51C7gUSeFmBiQJillTpz0I2uWWpY1lsnFPeiwA+FSvAzsCC2IBoUBmID7Fw5aaTwHSjkKHvUAyjACrfF0bMKMRJMAx8iy8iWrq2tAnEVPWdLhTkLX9PmTMnKCRzL2tYGSMIFqakCs2VlEoLMJNgQaJdkElhJgQZYA9L4KljJE0w+b8C4C+CIm4ea1MVC89SafsIr2F+j9Sfoalb5qDigD/ZkWrccdwSs7X9RYrpqckAIIsAq1wnXbok8dE6pmhKGEsWsxyZuElJe11LhVK7RYRtQkpDLjZbL23l2MJf9Es1N8xzCQAjmnhdddEDVgMpBGFhX0xKpsiyhv4Fd2o3geyWVkvM2RMwh6BCItY6rkjYCxJkhmilNz9EckpJRbRJr2LCUoSv3wCaN9cowDAOMa8vMptuAgYfdNkyAtEtma31kaenZHWM25oHzw+cAfd/ys2YUvQs+js5lfQdNW1/CiPFkylodgr2B3ioqFvaAA/4PFMzpQpMdLsB7BQOZVnKKBlMXgBJ3akA+1PCUpGD5OdO7vVWABTOZmTmG0sr6UllCRF3uDYxO0W5nzEbnlgJr0BU4FK8x1BYY6/SgVtKOAylACMQOCb67QB5tvJBtMIZpuaJVZSM7FXkDx8TddWMMg+/AetkbihLuERvkgOMFUuIYv87RZJpCfEfEa+i+sGYkmPNUSCSNYi1Sl0DIiaKpjVMZt8o+PZnzc17DiZGewqZmziCIzwuXTQgyaz2h86MpBTYAAVKj2+Qh2Lx7Dio9MhBzrG8DC52TIjVtVhAdri/QZhS1VBCaUyyuwPTttGy5oVXUDM7AgHqN1MekMKbWjwcDJsLl41CqfIDfBsfAZbLk8sGRSDrVXzJ2QmtUWRA8eECevUlZjU/B/7QGVYErvIDAgiW/hhiE3iAY6p3CgdpYYXLHE+uWnu50hGUy1WG9gFO8sHSNBgZsU0HcHTDwX6XDwlTlA0QBWuwvMejdkPzUKQDiIzp9mzicXGlpfQDyZNlkGC0ePcI6AZDMmpJY3B0Djx65dJJxfA8Aem0DmwbjTG2aw29uCcQw4ooOCPB6LYHZmIGWQFGTqHlMrdqGMAia4LIGHMamkoxBqsuxbiBo12C4TavguTVC5OIcy5hliHV7t/TYWIbuT1KmDFgEMYuarSqNtJBoQ8CSE3ybqhHPybThpY3zDiMu1Dcpo+RTBWocrOTu9DGFwrUP+R6de9eFyVbukJGBvJXY14Teihts1EoQ3NHg6xiKrs1UirS2yUM71pGjRjNHumMGygJjg+xNVCtmw2DKBtoG5USbyrSUA66+RdVfotpFWW1jiTHfBorP/k3Lhj1DAZ3ZtGkdfeWSaODWEjDz2JDew+9I5Cr0DNqQRGjl4iZGFpAKJCWoSNCGmKvOnDqlAOOoQZyE26LKlnLkzBJ6ZlGfLVVwZq1rXcJWrM62uEHxdqq/xIwrZLoFPVsmOul2OKi2jEJNYROZkVf2RpN5TEgQBGdnZ07qECzWRNMJJXAkrPbfedjN6qY83A0url0vkm9Yvz7N4VhK9noVvA1ftYqe4FC5LSxQkyCDyCFeoXNZHrIfz9+NqnTFFeZpF/MBG8grCJ6X1BXu6M5lY+MouOMAAuzAv//z7/8+2fd/o+HBvr//uw/Q3d+EP2sp7uj+Lx5Hl9//DaOJf/+3CfglwGsyW6tuPybbbW1X2Ruz7e58hyOuenDPuwoQn7snq9u61TMja55q+H5yGvzmPc3n/+vz/+hq/o99/t9I/t+/mv8Po4ODvbFP//cB7LH2Ix9mwKeH++Pxtfkfff5C/o/2h8O9LTL2/u/Pf17/Gz//HUbgiGN//rs/8R//G+rijs5/k9HwyvkvHvvz3ybgwWeDKReDKdVFgLdffRYE1XnGFenXZIC394OuXTII0pJR0dQ7u+QX2xrJZ+SEfP4VLHpFInL6Bb5/FsvuS5YWkmzH2+TLS4gGis2pykLzxtjJrGu1XK2K3r1qxoPfAqNoTVqyyLP/HL0EIjP7ghbfB79gpqmDmtcjgldxtCxJv/+q4cAnHGexc2D45SBjrweigaFffyVGNcC/I+HYtYu4F/9hGG4H7ZrBymeS7rVwWC9I/zVgN9MnusAb9OGXf4sJYGTsMh92oWxM3RjLTMDecEM+/+X50fNnL14+ffnji5Po9LcNRV9//vPnv7ec/w4PRj7936/8vx7LNpn/43gvvtz/OY4n/vcfGwHsOoNspRc6gH9hTU0RQq5kyuxEPfIQM6m7W31ZMN3dguP1OHYl9XMmsN+FuT4e14yHgrItRo9hVXftn8NwM8Vfdwy6V8zYcDQtWdXHtj/bdGFbFgZGMTaoKBQl3WtmPcBOp357oTxIqZACu+b6y4sL2Ok7bJkqKRDQ1JklSQoyjIajfrTfH0ZB0HLaCG6QziCwbVCIOVlearspO7a++AZGnrqBXgAiCGwHxfrjl4Bmp8MX4re/g4nsPna/X2EzK49EsHm5SPD2m2XdTklBdfI/pmTS3jjvaFbO2pX2pzItRU/W99vZvTweItq1x4glxD4PZZ69ami5083LmVlutdsj0W5wkUjs1ylZ0l7C3xI13eMOaxxFH06qXXSR2K51rSNXb4Ley4Pj38PL+AovXctCIm/PCt6Lj27jnf3xhzMyHF/Lh5nzO2Lk4KbBYXQLXgKRJ8nkyv5W3X6JZq8a14JcLu7CHOP4Zu5vWDq5aeXvMfPh2wQnJHwULD3vZiZylrjOyC4q3rLcLPK15zZFrfFwjH1BemfVGLSLHVVMqRUF6+guMHm9TLDlageQhMs2LJDI2h7Xr7ywKKQq13AO7JHty41Y29dIt9VnwoWRfynJvldI/ZPItREXM/mHSvbTFtUyC2Bt9ZeywfcLeHcnWctuAvmnqyCx5zaZQxmJo84mN2yLlzXwJ5IWjllhud7T5I/57DWW+AfF967S/eNJb70j94oEFbt0VMkkc0amGPav3/KJ5abAdp2h3fbh53Lwwl8HoH+JLvR/uGu9J7fD8V8/gL2jl/qdqUKwHGro1xs5M9yWjPt3K+SLve/vqltuWcC3VMH82UTo+z/8/Y+//2nvf+Jo/9Df/9wHWPu/Hn20LsAP7v+Lo73hxPf/3Z/47/v/7iz+v7X/L44PY9//d9/i/7cyPWdqxku2yft/7AC4cv8fTfzvvzYC3x3/8E/iftv1eBTGUV+XvAp++uH4H98eHbtGuuMf/0VqXq+10AnZT2lasD72CbquOB8sPHjw4MGDBw8ePHjw4MGDBw8ePHjw4MGDBw8ePHjw4MGDh7uD/wOFlaLJAHgAAA=="
exercism-python-0009_copy68	"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"
exercism-python-0009_copy69	"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"
exercism-python-0009_copy7	"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"
exercism-python-0009_copy70	"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"
exercism-python-0009_copy71	"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"
exercism-python-0009_copy72	"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"
exercism-python-0009_copy73	"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"
exercism-python-0009_copy74	"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"
exercism-python-0009_copy8	"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"
exercism-python-0009_copy9	"H4sIAE1fq2kC/+0c7XLbNtK/+RSo07nYGYkiJUu200nb9JpOPTd3zTjp9W48HhoiIRI1CTAAGEXX9t1vFyAl2Y6dpHXkNsbOpLIIYLHfuyBWDQfh4Ovn9M33jGZMbX0UiBxc9xlFo73V3/g8jobxcIu82doANNpQBdtv3U8YHpDK8Io9iff3hwejg8lBFB4cTvbGw2Gw5eGTB0P1eWhkVX7EPdCpJ3vo45N4fzyCz714OBotfX5vMtmKx/F4OBnv741i8P/hXrS3RaJN+n/eFDS+YV5GQVTM6E9M/wEBeM2U5lKQJ2Q7DqPtwD48oTkT5tT+jRFCNibRLIVJh1EURu2kihmKonHzaGMKqRJBK4bIXlCRTeUbprfXR1lFeYnDuhv+evlXmMrKTc74bMbTpjQLnFqxjDftSEoNy6VarKFwA4bmGh6e2C8Iy+GefXTa0gzs8hlnytGsGFqASZh4zZUUFTANSGa01OwtvO8PkfdPR/+hz/8+/1/J/9FktL/n8/89AC60UU1qIPyHVXYn+X+ytx9fyv8jqD99/t8EPCBHwiiZORMIgqczwxRZMKo0kTMy42XJRU4gAZKZVJUmkFHJnHIDT3tkIZuHrxnMErQsF4SmrxquWIbPFZlScY5rS54yoVkYvCy4JhWjQuMEQhUjQs5hG0j03CJgJc/5tGTESCJrJhwiORcWWY8UjVJ08VkQ/Befz7jShtSKS8WhTADksCxnhpiCkaOXRC+0YUByU1uqVSME0BO2PFKS0QXyWFAFLEl1bvmB8kIQWirIhwtHA65NS6kZ8JfKRhjdI1STOStL/CxgHCiec1Nkis6hbrArMlZLzY0Og+AFFylzuGVTZuKhIVNGphLIRGHNlZUmMVCIaEcDh1rEMKIl1FEzxZnILG8FK2s7zXLo2AuD7+WcQUkDRFm+fgaLBtGAWiouGpjdI1IwZNQKs0OXlpSDbADRAlUI/BlSwUSQ7k8FLy29D0FDqRQznmFRZJenMmMo6WmT92eKMUevraAAh7QKN4WSTV5YIkuZW9KBI6Cb51C7gUSeFmBiQJillTpz0I2uWWpY1lsnFPeiwA+FSvAzsCC2IBoUBmID7Fw5aaTwHSjkKHvUAyjACrfF0bMKMRJMAx8iy8iWrq2tAnEVPWdLhTkLX9PmTMnKCRzL2tYGSMIFqakCs2VlEoLMJNgQaJdkElhJgQZYA9L4KljJE0w+b8C4C+CIm4ea1MVC89SafsIr2F+j9Sfoalb5qDigD/ZkWrccdwSs7X9RYrpqckAIIsAq1wnXbok8dE6pmhKGEsWsxyZuElJe11LhVK7RYRtQkpDLjZbL23l2MJf9Es1N8xzCQAjmnhdddEDVgMpBGFhX0xKpsiyhv4Fd2o3geyWVkvM2RMwh6BCItY6rkjYCxJkhmilNz9EckpJRbRJr2LCUoSv3wCaN9cowDAOMa8vMptuAgYfdNkyAtEtma31kaenZHWM25oHzw+cAfd/ys2YUvQs+js5lfQdNW1/CiPFkylodgr2B3ioqFvaAA/4PFMzpQpMdLsB7BQOZVnKKBlMXgBJ3akA+1PCUpGD5OdO7vVWABTOZmTmG0sr6UllCRF3uDYxO0W5nzEbnlgJr0BU4FK8x1BYY6/SgVtKOAylACMQOCb67QB5tvJBtMIZpuaJVZSM7FXkDx8TddWMMg+/AetkbihLuERvkgOMFUuIYv87RZJpCfEfEa+i+sGYkmPNUSCSNYi1Sl0DIiaKpjVMZt8o+PZnzc17DiZGewqZmziCIzwuXTQgyaz2h86MpBTYAAVKj2+Qh2Lx7Dio9MhBzrG8DC52TIjVtVhAdri/QZhS1VBCaUyyuwPTttGy5oVXUDM7AgHqN1MekMKbWjwcDJsLl41CqfIDfBsfAZbLk8sGRSDrVXzJ2QmtUWRA8eECevUlZjU/B/7QGVYErvIDAgiW/hhiE3iAY6p3CgdpYYXLHE+uWnu50hGUy1WG9gFO8sHSNBgZsU0HcHTDwX6XDwlTlA0QBWuwvMejdkPzUKQDiIzp9mzicXGlpfQDyZNlkGC0ePcI6AZDMmpJY3B0Djx65dJJxfA8Aem0DmwbjTG2aw29uCcQw4ooOCPB6LYHZmIGWQFGTqHlMrdqGMAia4LIGHMamkoxBqsuxbiBo12C4TavguTVC5OIcy5hliHV7t/TYWIbuT1KmDFgEMYuarSqNtJBoQ8CSE3ybqhHPybThpY3zDiMu1Dcpo+RTBWocrOTu9DGFwrUP+R6de9eFyVbukJGBvJXY14Teihts1EoQ3NHg6xiKrs1UirS2yUM71pGjRjNHumMGygJjg+xNVCtmw2DKBtoG5USbyrSUA66+RdVfotpFWW1jiTHfBorP/k3Lhj1DAZ3ZtGkdfeWSaODWEjDz2JDew+9I5Cr0DNqQRGjl4iZGFpAKJCWoSNCGmKvOnDqlAOOoQZyE26LKlnLkzBJ6ZlGfLVVwZq1rXcJWrM62uEHxdqq/xIwrZLoFPVsmOul2OKi2jEJNYROZkVf2RpN5TEgQBGdnZ07qECzWRNMJJXAkrPbfedjN6qY83A0url0vkm9Yvz7N4VhK9noVvA1ftYqe4FC5LSxQkyCDyCFeoXNZHrIfz9+NqnTFFeZpF/MBG8grCJ6X1BXu6M5lY+MouOMAAuzAv//z7/8+2fd/o+HBvr//uw/Q3d+EP2sp7uj+Lx5Hl9//DaOJf/+3CfglwGsyW6tuPybbbW1X2Ruz7e58hyOuenDPuwoQn7snq9u61TMja55q+H5yGvzmPc3n/+vz/+hq/o99/t9I/t+/mv8Po4ODvbFP//cB7LH2Ix9mwKeH++Pxtfkfff5C/o/2h8O9LTL2/u/Pf17/Gz//HUbgiGN//rs/8R//G+rijs5/k9HwyvkvHvvz3ybgwWeDKReDKdVFgLdffRYE1XnGFenXZIC394OuXTII0pJR0dQ7u+QX2xrJZ+SEfP4VLHpFInL6Bb5/FsvuS5YWkmzH2+TLS4gGis2pykLzxtjJrGu1XK2K3r1qxoPfAqNoTVqyyLP/HL0EIjP7ghbfB79gpqmDmtcjgldxtCxJv/+q4cAnHGexc2D45SBjrweigaFffyVGNcC/I+HYtYu4F/9hGG4H7ZrBymeS7rVwWC9I/zVgN9MnusAb9OGXf4sJYGTsMh92oWxM3RjLTMDecEM+/+X50fNnL14+ffnji5Po9LcNRV9//vPnv7ec/w4PRj7936/8vx7LNpn/43gvvtz/OY4n/vcfGwHsOoNspRc6gH9hTU0RQq5kyuxEPfIQM6m7W31ZMN3dguP1OHYl9XMmsN+FuT4e14yHgrItRo9hVXftn8NwM8Vfdwy6V8zYcDQtWdXHtj/bdGFbFgZGMTaoKBQl3WtmPcBOp357oTxIqZACu+b6y4sL2Ok7bJkqKRDQ1JklSQoyjIajfrTfH0ZB0HLaCG6QziCwbVCIOVlearspO7a++AZGnrqBXgAiCGwHxfrjl4Bmp8MX4re/g4nsPna/X2EzK49EsHm5SPD2m2XdTklBdfI/pmTS3jjvaFbO2pX2pzItRU/W99vZvTweItq1x4glxD4PZZ69ami5083LmVlutdsj0W5wkUjs1ylZ0l7C3xI13eMOaxxFH06qXXSR2K51rSNXb4Ley4Pj38PL+AovXctCIm/PCt6Lj27jnf3xhzMyHF/Lh5nzO2Lk4KbBYXQLXgKRJ8nkyv5W3X6JZq8a14JcLu7CHOP4Zu5vWDq5aeXvMfPh2wQnJHwULD3vZiZylrjOyC4q3rLcLPK15zZFrfFwjH1BemfVGLSLHVVMqRUF6+guMHm9TLDlageQhMs2LJDI2h7Xr7ywKKQq13AO7JHty41Y29dIt9VnwoWRfynJvldI/ZPItREXM/mHSvbTFtUyC2Bt9ZeywfcLeHcnWctuAvmnqyCx5zaZQxmJo84mN2yLlzXwJ5IWjllhud7T5I/57DWW+AfF967S/eNJb70j94oEFbt0VMkkc0amGPav3/KJ5abAdp2h3fbh53Lwwl8HoH+JLvR/uGu9J7fD8V8/gL2jl/qdqUKwHGro1xs5M9yWjPt3K+SLve/vqltuWcC3VMH82UTo+z/8/Y+//2nvf+Jo/9Df/9wHWPu/Hn20LsAP7v+Lo73hxPf/3Z/47/v/7iz+v7X/L44PY9//d9/i/7cyPWdqxku2yft/7AC4cv8fTfzvvzYC3x3/8E/iftv1eBTGUV+XvAp++uH4H98eHbtGuuMf/0VqXq+10AnZT2lasD72CbquOB8sPHjw4MGDBw8ePHjw4MGDBw8ePHjw4MGDBw8ePHjw4MGDh7uD/wOFlaLJAHgAAA=="
exercism-python-0010	"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"
exercism-python-0010_copy1	"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"
exercism-python-0010_copy10	"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"
exercism-python-0010_copy11	"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"
exercism-python-0010_copy12	"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"
exercism-python-0010_copy13	"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"
exercism-python-0010_copy14	"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"
exercism-python-0010_copy15	"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"
exercism-python-0010_copy16	"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"
exercism-python-0010_copy17	"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"
exercism-python-0010_copy18	"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"
exercism-python-0010_copy19	"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"
exercism-python-0010_copy2	"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"
exercism-python-0010_copy20	"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"
exercism-python-0010_copy21	"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"
exercism-python-0010_copy22	"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"
exercism-python-0010_copy23	"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"
exercism-python-0010_copy24	"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"
exercism-python-0010_copy25	"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"
exercism-python-0010_copy26	"H4sIAE1fq2kC/+2d/W/bxh3G/TP/ips7rA5gSbzj3ZHOkK7r2m7BsDZIUnRAEDi0dLa4SKRKnhwbbf/3HSn5Jbbib/hco6bxHdDGFl/u4Vn8PHx9vsPRcPTlk/zsXyafmHrng7R41d71bxwn8urn9nMeCy522NnOFtqysXntut+5n01kbG6LuXnE01RkSaazeHjAdSwORLQT2iffbN68HtpqPvuAfbQ7tZbtPq55qhL3r+QiSS73ean1DldcCa1SmXC3/wsZyx0Wb3P/P1lOc37HfJPcDZWxzSf294+Ya6emboqqZI/YLh/Gu1H34Yv8xJT2ZfdzS4hqaQ8bM3YzHcTxMF7PNDc2b4dmNV++tNOqPizzuWlX9iwvJ0fVmWl2r08187yYtZObi8lfXv40HFfz1cyT4vi4GC9n9ryddW4mxXI9ZZxbc1LV59dWsZpg85PGffii+6Vtl5P3u49erjW7zS2OC1OvNNem/QbYQ1OeFnVVzt1Gu5Uc57PGbNj2VLTb/un8/Ycfhf+L2/4fB//fiv/rTf7PeXD/+9GKsrH1cmwd/ofzye/h/yKVWt3w/0TqOPj/Ntpn7PHVN6CJoqdmXFjD7NSw2XldjBtmK/dbbtmRmVWnZsLGs7xpivH+6lPno7PJwNbFwlnmaVW7hR+ygwP2VWXtzDSsOmZfGVMzd3TRrvPHfDYbRtF3VdeHW76sLHOfdYcgbva8NqyYOAsuxnk746tXr6w5s5Fb49HVGo+urfGNW3qf3Z4+jJ7nr42by7BJ9aZk7kiALZxyVrgO62pZTtxS2V1rdd3fPcOmFbxXtynVbUp0m0LdaqpbTXSroW4V1a0iulVQt5LqVhLdSqjbhOo2IbpNoG4F1a0guhVQt5zqlhPdcqjbmOo2JrqNkW6zA6LbjKBUBlEqoyiVEZTKIEplFKUyglIZRKmMolRGUCqDKJVRlMoISmUQpTKKUhlBqQyiVEZRKiMolUGUyihKZQSlMohSGUWpjKBUBlEqoyiVEZTKIEqlFKVSglIpRKmUolRKUCqFKJVSlEoJSqUQpVKKUilBqRSiVEpRKiUolUKUSilKpQSlUohSKUWplKBUClEqpSiVEpRKIUqlFKVSglIpRKmUolRKUCqFKKUpSmmCUhqilKYopQlKaYhSmqKUJiilIUppilKaoJSGKKUpSmmCUhqilKYopQlKaYhSmqKUJiilIUppilKaoJSGKKUpSmmCUhqilKYopQlKaYhSiqKUIiilIEopilKKoJSCKKUoSimCUgqilKIopQhKKYhSiqKUIiilIEopilKKoJSCKKUoSimCUgqilKIopQhKKYhSiqKUIiilIEopilKKoJSCKCUpSkmCUhKilKQoJQlKSYhSkqKUJCglIUpJilKSoJSEKCUpSkmCUhKilKQoJQlKSYhSkqKUJCglIUpJilKSoJSEKCUpSkmCUhKilKQoJQlKSYhSCUWphKBUAlEqoSiVEJRKIEolFKUSglIJRKmEolRCUCqBKJVQlEoISiUQpRKKUglBqQSiVEJRKiEolUCUSihKJQSlEohSCUWphKBUAlEqoSiVEJRKIEoJilKCoJSAKCUoSgmCUgKilKAoJQhKCYhSgqKUICglIEoJilKCoJSAKCUoSgmCUgKilKAoJQhKCYhSgqKUICglIEoJilKCoJSAKCUoSgmCUgKiFKcoxQlKcYhSnKIUJyjFIUpxilKcoBSHKMUpSnGCUhyiFKcoxQlKcYhSnKIUJyjFIUpxilKcoBSHKMUpSnGCUhyiFKcoxQlKcYhSnKIUJyjFIUpRkKKe6YQeuqCeuSAeuYBuoVJ3UIkbqNANEep+CHE7BLq8SV3dJC5uQhcrqGsVxKUK6NSDOvMgTjygAwnqOII4jICwsF7oXVC4Y/LthdcdutW/s7+yYvOqNsSWfkfP9c5VDaN/VqsH1g1rbDtDq+Noec6aam66RTY9K/62glevXkVR9GSWjw07r5a1W3a2bB+PZ0XJRvliMfqEnv//ON7/Sm6//8XD+19bef8r3fT+VyLCC2D3o128vzv8X1OVv9P731zFN9//ErEO739to/0cta9JO5cbm92HbNecmXpcNPPujendWV6eLPOTbsri3E6rcvX5eq7u89UnV29rX31mq0UxbtzvL15Gv4Y9Lfh/8P8/iP8nsTxIg//fh2ZNY5sPfELTveSt1Dv9v93n3/L/OBVC7jAV9v97wn9+i/9xGvi/Ff6rDfwXaaD/veJ/+/9hM/2dzv90Im6d/3EVzv+20T770+ioKEdHeTON3OaxgYmi+etJUbPBgo1m1UkzuojLiqLxzOTlcrH3gP3cRWMVx+wF+/Pf3EI/sZi9/Gt7EbW8TN8y42nFdvku++LGika1eZPXk6E9s93M5iJq62qpmF7quIh+jWydL9haFvvmv4+fO5GT7iJtFH3Gnhm7XESLYpGwNuemzRkZDH5aFm473ems+84z8cVoYk5H5dJN+uUXZuul2/6VhKfLsizKE9btIcPhcDdaLzO62mcOLy4NDxfnbHDq1m6PHjXTqm7X/BfO3BqNubkd3YLV0i6WttuYyJwVlv355yePn3zz7Pnfn//w7EX88tctATic/4Xzvw3nf1rpcARwv/z/Osu26f9SSXXT/5WIQ/7XVloxX7Ru1Zw3kftvuMjtdOi80tR2L95nn7dO+vmD1kufT01jVmbYpXTlS1sNTkxp6tyaCXtT2Gk3lbUDxY7rav7QLTW1dtE8HI1O3OTlUZvuObq4xDxa1NXRzMwHzcKMnTOO8y6CbGRrY0bz3B2UXFxmbkbtTdpBU5Uno3FeVmUbDja4vGvhuvm2mBk2y13vy8Wk01OVTMQiGcTpQMRRtN7MZVnYVmQUtQK7e7+H7WrZevreOhG0zUDbj9x2R13aWRdh9szN99wtu3exkmH72z/cl+LBw1ViqTnuRuDwuKjd/7uxKcaHXbLZXmNmx+v5uqOcM7fRrc7rcaVdZCmQdLaON71chXfw2bUVvrz8qd2CoVuP+2p889Myn+2thmmvS099dHDwYP9yqx5Ebw9I+5dBx6P3wxb9R0P81oOR3DEW3eYftrvLoThc9/v+o9H7MZD+o3HnUyHAYIj3Gwy+Hoz3H4uez6dsHAnfx1WA8eDvNx5x/y+H15MzN4fH/0EaYGziO8ZmRVX7plqNUvOHRWq3wpu/A0mTgMb0t8f+PrOu3zv38g7/dup8vfef7iPi3cY/20fGoI0a//hYEOsv2V2+6lYdwPDhwbBZY/+8WkCj9tPYP9wW0Kj8NPZPwgU0Sj+N/WNzAY2Jn8b+GbuARuGnsX8gL6CR+2nsn94LaIz9NPaP+u2vMTvw0gjkAgMa/XwGCBEGNPr5DJA4DGj08xkgnhjQ6OczQJYxoNHPZ4DgY0Cjn88AKcmARj+fASKVAY1+PgPkLwMa/XwGCGvurzH18xkg2RnQ6OczQAw0oNHPZ4DMaECjn88AAdOARj+fAdKoAY1+PgNEVwMa/XwGyLkGNPr5DBCKDWj08xkgQRvQ6OczQNx2f43az2eAbG5Ao5/PAEHegEY/nwFSvwGNfj4DRIQDGv18BsgTBzT6+QwQPg5o9PMZIKkc0OjnM0CsOaDRz2eADHRAo5/PAIHp/TUqP58B0tUBjX4+A0SxAxr9fAbIbQc0+vkMEPIOaPTzGSARHtDo5zNAfDyg0c9ngKx5QKOfzwDB9IBGP58BUuwBjX4+A0Te99co/XwGyMcHNPr5DBCmD2j08xkgeR/Q6OczQEw/oNHPZ4BMf0Cjn88ABQAAjX4+A1QLADT6+QxQWgDQ6OczQB0CQKOfzwBFC/prTPx8BqhwAGj08xmgHAKg0c9ngNoJgEY/nwEKLQAa/XwGqMoAaPTzGaCEA6DRz2eAeg+ARj+fAYpDABr9fAaoJAFo9PMZoOwE8EaSn88ANSoAjX4+AxS0ADT6+QxQ/QLQ6OczQKkMQKOfzwB1NQCNfj4DFOEANPr5DFCxA9Do5zNAeQ9Ao5/PALVAAI1+PgMUDgHeffLzGaDKCKDRz2eAkiSARj+fAeqXABr9fAYodgJo9PMZoDIKoNHPZ4AyKoBGP58Baq4AGv18BijQAmj08xmgmgug0c9ngNIvwDs+fq/49K0TAzwc7vdseN+iMsBThX4PFfatQAM8juL3NErfcjXAfUy/25h9a9sAF8D9rn/3LYQDXDnxu3DyEQW5bD7iDlkDIWvgKtGCx2+nkYT855D/eE/yHwV3P4f8x/vQTHla1FU5N6X9YFUAeuf/81gKHfL/7w//5W3+i8D/rfA/28j/TByEAnD3jf9fV+PXpj4uZmab+b9xzN3B3o3831iH+m9bad8+/f4/bFXb7WEy5PGgmRXz6Mfvn/7768dPV0H6T3/4ji2KxbUI/bIajPPx1AzaOgGrVPwAi9BCCy200EILLbTQQgsttNBCCy200EILLbSPq/0fQR7RLgDIAAA="
exercism-python-0010_copy27	"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"
exercism-python-0010_copy28	"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"
exercism-python-0010_copy29	"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"
exercism-python-0010_copy3	"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"
exercism-python-0010_copy30	"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"
exercism-python-0010_copy31	"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"
exercism-python-0010_copy32	"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"
exercism-python-0010_copy33	"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"
exercism-python-0010_copy34	"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"
exercism-python-0010_copy35	"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"
exercism-python-0010_copy36	"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"
exercism-python-0010_copy37	"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"
exercism-python-0010_copy38	"H4sIAE1fq2kC/+2d/W/bxh3G/TP/ips7rA5gSbzj3ZHOkK7r2m7BsDZIUnRAEDi0dLa4SKRKnhwbbf/3HSn5Jbbib/hco6bxHdDGFl/u4Vn8PHx9vsPRcPTlk/zsXyafmHrng7R41d71bxwn8urn9nMeCy522NnOFtqysXntut+5n01kbG6LuXnE01RkSaazeHjAdSwORLQT2iffbN68HtpqPvuAfbQ7tZbtPq55qhL3r+QiSS73ean1DldcCa1SmXC3/wsZyx0Wb3P/P1lOc37HfJPcDZWxzSf294+Ya6emboqqZI/YLh/Gu1H34Yv8xJT2ZfdzS4hqaQ8bM3YzHcTxMF7PNDc2b4dmNV++tNOqPizzuWlX9iwvJ0fVmWl2r08187yYtZObi8lfXv40HFfz1cyT4vi4GC9n9ryddW4mxXI9ZZxbc1LV59dWsZpg85PGffii+6Vtl5P3u49erjW7zS2OC1OvNNem/QbYQ1OeFnVVzt1Gu5Uc57PGbNj2VLTb/un8/Ycfhf+L2/4fB//fiv/rTf7PeXD/+9GKsrH1cmwd/ofzye/h/yKVWt3w/0TqOPj/Ntpn7PHVN6CJoqdmXFjD7NSw2XldjBtmK/dbbtmRmVWnZsLGs7xpivH+6lPno7PJwNbFwlnmaVW7hR+ygwP2VWXtzDSsOmZfGVMzd3TRrvPHfDYbRtF3VdeHW76sLHOfdYcgbva8NqyYOAsuxnk746tXr6w5s5Fb49HVGo+urfGNW3qf3Z4+jJ7nr42by7BJ9aZk7kiALZxyVrgO62pZTtxS2V1rdd3fPcOmFbxXtynVbUp0m0LdaqpbTXSroW4V1a0iulVQt5LqVhLdSqjbhOo2IbpNoG4F1a0guhVQt5zqlhPdcqjbmOo2JrqNkW6zA6LbjKBUBlEqoyiVEZTKIEplFKUyglIZRKmMolRGUCqDKJVRlMoISmUQpTKKUhlBqQyiVEZRKiMolUGUyihKZQSlMohSGUWpjKBUBlEqoyiVEZTKIEqlFKVSglIpRKmUolRKUCqFKJVSlEoJSqUQpVKKUilBqRSiVEpRKiUolUKUSilKpQSlUohSKUWplKBUClEqpSiVEpRKIUqlFKVSglIpRKmUolRKUCqFKKUpSmmCUhqilKYopQlKaYhSmqKUJiilIUppilKaoJSGKKUpSmmCUhqilKYopQlKaYhSmqKUJiilIUppilKaoJSGKKUpSmmCUhqilKYopQlKaYhSiqKUIiilIEopilKKoJSCKKUoSimCUgqilKIopQhKKYhSiqKUIiilIEopilKKoJSCKKUoSimCUgqilKIopQhKKYhSiqKUIiilIEopilKKoJSCKCUpSkmCUhKilKQoJQlKSYhSkqKUJCglIUpJilKSoJSEKCUpSkmCUhKilKQoJQlKSYhSkqKUJCglIUpJilKSoJSEKCUpSkmCUhKilKQoJQlKSYhSCUWphKBUAlEqoSiVEJRKIEolFKUSglIJRKmEolRCUCqBKJVQlEoISiUQpRKKUglBqQSiVEJRKiEolUCUSihKJQSlEohSCUWphKBUAlEqoSiVEJRKIEoJilKCoJSAKCUoSgmCUgKilKAoJQhKCYhSgqKUICglIEoJilKCoJSAKCUoSgmCUgKilKAoJQhKCYhSgqKUICglIEoJilKCoJSAKCUoSgmCUgKiFKcoxQlKcYhSnKIUJyjFIUpxilKcoBSHKMUpSnGCUhyiFKcoxQlKcYhSnKIUJyjFIUpxilKcoBSHKMUpSnGCUhyiFKcoxQlKcYhSnKIUJyjFIUpRkKKe6YQeuqCeuSAeuYBuoVJ3UIkbqNANEep+CHE7BLq8SV3dJC5uQhcrqGsVxKUK6NSDOvMgTjygAwnqOII4jICwsF7oXVC4Y/LthdcdutW/s7+yYvOqNsSWfkfP9c5VDaN/VqsH1g1rbDtDq+Noec6aam66RTY9K/62glevXkVR9GSWjw07r5a1W3a2bB+PZ0XJRvliMfqEnv//ON7/Sm6//8XD+19bef8r3fT+VyLCC2D3o128vzv8X1OVv9P731zFN9//ErEO739to/0cta9JO5cbm92HbNecmXpcNPPujendWV6eLPOTbsri3E6rcvX5eq7u89UnV29rX31mq0UxbtzvL15Gv4Y9Lfh/8P8/iP8nsTxIg//fh2ZNY5sPfELTveSt1Dv9v93n3/L/OBVC7jAV9v97wn9+i/9xGvi/Ff6rDfwXaaD/veJ/+/9hM/2dzv90Im6d/3EVzv+20T770+ioKEdHeTON3OaxgYmi+etJUbPBgo1m1UkzuojLiqLxzOTlcrH3gP3cRWMVx+wF+/Pf3EI/sZi9/Gt7EbW8TN8y42nFdvku++LGika1eZPXk6E9s93M5iJq62qpmF7quIh+jWydL9haFvvmv4+fO5GT7iJtFH3Gnhm7XESLYpGwNuemzRkZDH5aFm473ems+84z8cVoYk5H5dJN+uUXZuul2/6VhKfLsizKE9btIcPhcDdaLzO62mcOLy4NDxfnbHDq1m6PHjXTqm7X/BfO3BqNubkd3YLV0i6WttuYyJwVlv355yePn3zz7Pnfn//w7EX88tctATic/4Xzvw3nf1rpcARwv/z/Osu26f9SSXXT/5WIQ/7XVloxX7Ru1Zw3kftvuMjtdOi80tR2L95nn7dO+vmD1kufT01jVmbYpXTlS1sNTkxp6tyaCXtT2Gk3lbUDxY7rav7QLTW1dtE8HI1O3OTlUZvuObq4xDxa1NXRzMwHzcKMnTOO8y6CbGRrY0bz3B2UXFxmbkbtTdpBU5Uno3FeVmUbDja4vGvhuvm2mBk2y13vy8Wk01OVTMQiGcTpQMRRtN7MZVnYVmQUtQK7e7+H7WrZevreOhG0zUDbj9x2R13aWRdh9szN99wtu3exkmH72z/cl+LBw1ViqTnuRuDwuKjd/7uxKcaHXbLZXmNmx+v5uqOcM7fRrc7rcaVdZCmQdLaON71chXfw2bUVvrz8qd2CoVuP+2p889Myn+2thmmvS099dHDwYP9yqx5Ebw9I+5dBx6P3wxb9R0P81oOR3DEW3eYftrvLoThc9/v+o9H7MZD+o3HnUyHAYIj3Gwy+Hoz3H4uez6dsHAnfx1WA8eDvNx5x/y+H15MzN4fH/0EaYGziO8ZmRVX7plqNUvOHRWq3wpu/A0mTgMb0t8f+PrOu3zv38g7/dup8vfef7iPi3cY/20fGoI0a//hYEOsv2V2+6lYdwPDhwbBZY/+8WkCj9tPYP9wW0Kj8NPZPwgU0Sj+N/WNzAY2Jn8b+GbuARuGnsX8gL6CR+2nsn94LaIz9NPaP+u2vMTvw0gjkAgMa/XwGCBEGNPr5DJA4DGj08xkgnhjQ6OczQJYxoNHPZ4DgY0Cjn88AKcmARj+fASKVAY1+PgPkLwMa/XwGCGvurzH18xkg2RnQ6OczQAw0oNHPZ4DMaECjn88AAdOARj+fAdKoAY1+PgNEVwMa/XwGyLkGNPr5DBCKDWj08xkgQRvQ6OczQNx2f43az2eAbG5Ao5/PAEHegEY/nwFSvwGNfj4DRIQDGv18BsgTBzT6+QwQPg5o9PMZIKkc0OjnM0CsOaDRz2eADHRAo5/PAIHp/TUqP58B0tUBjX4+A0SxAxr9fAbIbQc0+vkMEPIOaPTzGSARHtDo5zNAfDyg0c9ngKx5QKOfzwDB9IBGP58BUuwBjX4+A0Te99co/XwGyMcHNPr5DBCmD2j08xkgeR/Q6OczQEw/oNHPZ4BMf0Cjn88ABQAAjX4+A1QLADT6+QxQWgDQ6OczQB0CQKOfzwBFC/prTPx8BqhwAGj08xmgHAKg0c9ngNoJgEY/nwEKLQAa/XwGqMoAaPTzGaCEA6DRz2eAeg+ARj+fAYpDABr9fAaoJAFo9PMZoOwE8EaSn88ANSoAjX4+AxS0ADT6+QxQ/QLQ6OczQKkMQKOfzwB1NQCNfj4DFOEANPr5DFCxA9Do5zNAeQ9Ao5/PALVAAI1+PgMUDgHeffLzGaDKCKDRz2eAkiSARj+fAeqXABr9fAYodgJo9PMZoDIKoNHPZ4AyKoBGP58Baq4AGv18BijQAmj08xmgmgug0c9ngNIvwDs+fq/49K0TAzwc7vdseN+iMsBThX4PFfatQAM8juL3NErfcjXAfUy/25h9a9sAF8D9rn/3LYQDXDnxu3DyEQW5bD7iDlkDIWvgKtGCx2+nkYT855D/eE/yHwV3P4f8x/vQTHla1FU5N6X9YFUAeuf/81gKHfL/7w//5W3+i8D/rfA/28j/TByEAnD3jf9fV+PXpj4uZmab+b9xzN3B3o3831iH+m9bad8+/f4/bFXb7WEy5PGgmRXz6Mfvn/7768dPV0H6T3/4ji2KxbUI/bIajPPx1AzaOgGrVPwAi9BCCy200EILLbTQQgsttNBCCy200EILLbSPq/0fQR7RLgDIAAA="
exercism-python-0010_copy39	"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"
exercism-python-0010_copy4	"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"
exercism-python-0010_copy40	"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"
exercism-python-0010_copy41	"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"
exercism-python-0010_copy42	"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"
exercism-python-0010_copy43	"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"
exercism-python-0010_copy44	"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"
exercism-python-0010_copy45	"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"
exercism-python-0010_copy46	"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"
exercism-python-0010_copy47	"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"
exercism-python-0010_copy48	"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"
exercism-python-0010_copy49	"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"
exercism-python-0010_copy5	"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"
exercism-python-0010_copy50	"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"
exercism-python-0010_copy51	"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"
exercism-python-0010_copy52	"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"
exercism-python-0010_copy53	"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"

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