path stringlengths 20 27 | task_binary unknown |
|---|---|
exercism-python-0005_copy31 | "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" |
exercism-python-0005_copy32 | "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" |
exercism-python-0005_copy33 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy34 | "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" |
exercism-python-0005_copy35 | "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" |
exercism-python-0005_copy36 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy37 | "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" |
exercism-python-0005_copy38 | "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" |
exercism-python-0005_copy39 | "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" |
exercism-python-0005_copy4 | "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" |
exercism-python-0005_copy40 | "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" |
exercism-python-0005_copy41 | "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" |
exercism-python-0005_copy42 | "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" |
exercism-python-0005_copy43 | "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" |
exercism-python-0005_copy44 | "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" |
exercism-python-0005_copy45 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy46 | "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" |
exercism-python-0005_copy47 | "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" |
exercism-python-0005_copy48 | "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" |
exercism-python-0005_copy49 | "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" |
exercism-python-0005_copy5 | "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" |
exercism-python-0005_copy50 | "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" |
exercism-python-0005_copy51 | "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" |
exercism-python-0005_copy52 | "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" |
exercism-python-0005_copy53 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy54 | "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" |
exercism-python-0005_copy55 | "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" |
exercism-python-0005_copy56 | "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" |
exercism-python-0005_copy57 | "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" |
exercism-python-0005_copy58 | "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" |
exercism-python-0005_copy59 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy6 | "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" |
exercism-python-0005_copy60 | "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" |
exercism-python-0005_copy61 | "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" |
exercism-python-0005_copy62 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy63 | "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" |
exercism-python-0005_copy64 | "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" |
exercism-python-0005_copy65 | "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" |
exercism-python-0005_copy66 | "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" |
exercism-python-0005_copy67 | "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" |
exercism-python-0005_copy68 | "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" |
exercism-python-0005_copy69 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy7 | "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" |
exercism-python-0005_copy70 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy71 | "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" |
exercism-python-0005_copy72 | "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" |
exercism-python-0005_copy73 | "H4sIAEtfq2kC/+0ba2/bODKf9St47uI2RWPr4VeSQ/aqNnJsnBMVkhZ3iyBwGZu2dZUlVaLyaLf//YYUJT9ktymKpnsNB4lpUeS8OJwZPtxQG+rLN/iuT/CEJHvfBbQcdpWa1mwuv7N6XTN0fQ/d7T0CZCnFCZDfe5pgdNGC+gtyone7xmHzsHOoNQ6P2q3DI2VPws8PFKfvGjRaBN+RBpvUnVYLyo7ebbO53tKNlTnf6nT29LbeNjrtbqupw/w3WlprD2mPOf9n2Rzrn2k3waAqQtOfbPwVBHBDktSPQnSCanpDqym88hLPSEiv+HfmIaKMjlIyhkZHmtbQRKMFoZipJm+HMzqPklGIF4Qhc3E4uY7uSFpbfUsW2A/Y67R4/bL81hhHi7zxxJ9O/XEW0HvWdEEmfibejDElsyi5X0GRv6B4lkLlJX9gUL4+4FVXgmcQ15/6JMl5TgizADoi4Y2fROEChAYkUxykZIvsXYPJ/vOMf+MvEf9b1fhvyPj/KPH/cFv819pNrSkTgCcAfpjSJBtTcP+NxeSHxH/d6Ogb8b/Zahky/j8GPEODpQWkinLm35AQYfgL4jmEceqPUxRnHz4E5ABN/XCC6JygcZQkZExRGgUZNx1FuTSXHa4uV3pfIT9FWOBAt3OSEBQQSiHnQH6IbqNkAu+hMiFxgMdkgm59OkdhtriGJoC5FyWI3OFFDN3futbFKXqBzm3Hgmh8bl9Yf7w9VpS3b99SckchYLvIQhfoFL6dIxs58PRCqS9BYbUXUPsH66MoDifqhzMmV0py2jc48CcFB2gGKknXaByhNuqgLnzTkYYO4WmdBqvtQK2R0/DmoAH4K7R2TcY4A1oEEpF7oQv2vlTA9T0ojCVAoCvIRnJGYFBy5XONHSCa4DANIBeagBppVLB7wNqEaIHfEUCSS5JmC9CjhcfzgtoCzJ7Rg+SHUVilNvFnPj0oqQWQGDD18GoUTaHtArIyv55XCN44vjBisqEPJImYQazawDGaUxqnx6pKwsat/86PIaHDjSiZqexJXTEeRVHeMDWg+yhLSgtjpqLiOFaly/4J8z+5//PX2v9p6l1dpn9PAYr1e+O/aRT+oP0fva1t5n+G1pH532PAR4Vtk0CkHZPaMaqRO5KM/XTBd0xqAQ5nGZ7xN/E9nUdhXi9a8fq8Zrlbs6yjUQzhHJ4vr5RPcqbJ+C/j//9H/D/SDsH/yvj/FICSlKbfeVEFc9rotts74z+b82vxX+saRmsPteX8fyL+X+7//zD/f7jN/3eMZseQAeDJ+H/22UjnP2j912kalfWf3pbrv8eAZ39Tr/1QvcbpXAHxUJ0oyuLdxE9QPUZqEM1StTguV5RxQHCYxfvP0Ud+NO5P0SX65Z/Q6T3S0NU/+NZzefpOxvMI1fQa+m0DkZqQW5xMGpRvpkPD4qh92Uv7cq+pr3xSaIJjJNhC1n8GHjA54RvFivIMuYRmsRL7cROxcy4cBKhef5/5ICcsZ8HmkfGbOiE3apjBqz//RDTJQP6cBScLQ34uwGZIo9GoKaKPupwzo/IAJL5H9RvATq9P0nmUMMx/1xFgJGRTDt4xymicUS6MQu58in75+GbwxnI90/vdvdSuPj2S95XrP7n+27L+a7bbMvw/rfi/6sseM/7rWqu7ef+vrXfl/u+jgL+IWbRK71MF/hsxpvMGxEqS0H3tAP3KIumvz1ks9fjxODcXflqPMxrVZyQkCT+C5ufmPDwyRaFpEi2OoVdx6juD19k1u92nFlvMapxE1wFZ1NOYjCEyjjG/gqDShBB1gSEpKbaZU3XlKFkd4zAKoXVQL88tgFDPDwgKMNDP4gnnKAqRoRnNutatG5qiCEGz0KeMTUVhLK7dchAt9nl2AZPhhhwoIDpkPThN0coJtQf99wtEDfb0Gkzj+XF+b5FMuR5G+YWHEVPMiM5BqJG49bCfkmAqWnNS8NgAEqBz632Gg31Oe782QC/Qq1fo5AQNhsPa8wP0sTaoHSP9ANVeQXkE5RBK7dNzZZ1yMZFH7FR+NMc3ZATcvs/I6AYH8DlllzDxeC4Yeig/JmPlFWPkIgrJJlFxT2DETv+XHPjpyA/5JYQHU3ltgtynp5zY6S5qa8q9jUb8MkI6mvohDkZjnCT3X6RXvimHm4n4Aj30n4/Mq9evgcU1VB9rphidV2K0XvNRWrb6nDDTKEu+1lBMl7N0wu7DnOeGUrDgQmlAeS5YsbcazCoDqX/3YPrbVHhhAzP8w7NtxtPQ9Kyqji6Aka5gqAWlt2LRjFEmADigmsUEeKDuUnJDwm9ivm8B365lMYV68MDYH5z1vSr/luD7TCi4D2UbyoHgu5DDFXIx+boPlIP4szn9JjnWbkmJa1JVGQreLME7G5MOlKdibNaMBkoHykMo//iKMaHfOCImF4TNN9dz7Isz+GL3etaFy0ZKGP4LdGbb3GGcWvxVRdS1J34z3OQyV+uZ7M0t9fl4V+t7XFfV+jOuq2r9Bddltd7mdlStd/gYVOtdPlbV+nwerdVXR4qtjMnnYzM/7VVjWBererN9yLu9LGNe+s6P92vkDpbf9XFCJj6tPX+QDYxwOBnpR0cjPJmQcFKxiVqtxm/L8Uxige8Rze+xBRFbicM6BdEIJVnYQG8g4EBCck0Q5Cw+u7h2y+69JWLV7tMG4CrxituHJ2jdyGpef1DYUG/gWPm0d6yezb9DwV4Oh/AJDT3bGXDXwCKzZ0FQXkeW4/HMYY7H9BgKc+gOeqKbx/3KwMsblJSHA3iubTJmLXHZPeGPoK3pektm+7bjctTMyTJsPc9yduCCLnlXk4no5uJZ4OxK3IDNsR13g9YGsp6T93Bsrhag5xTylVhynjjXS61W2RIogAmuGK6vAsdS7qHtukJ97MPdJp6zonE3d+IeE45hB1QlN0OrFH67qkRnEwZHCNVnrVA/1y+4Hk7I5u6nZ5lOMYYe6Mqq2IMzyFnnjirH3RedhIotMZ6mU6iuIFBB1sublvotLEyMK0Nc4i102xtaVcULKeyyNTcErzqCggIYocNHyDEHW/jyhMJNZ6novM4ule1ucraBxXRdczDcsALPBvvnihv0vHIoPMvy+rwUOrN7FZYKCR3XXqc+XNFhLnjPyqcl/9xANBz0lrOjOn+ExlcELmdQ1UQHzorFCMWWiC239DYrTd0tLJmOGKoVoaqcsXntCTezeyqvML7pT9a0VRhT33RMt3xftc/CipheOD+5q+CiClRVT8aRVx0pJ8gi/ZpOBJdWrr2lAQNb4J6tLZrviSHqVadGrl/hlcVQu6AB7he4fjedg5ePHpvV1ckihHfN3oonzgWpOBlTaDufv25/ZTy5oGavNxgOwOfwSpgZeSCqYHLA+Kumw1mAbAhqPeAK2KutZABfk37lYfNh2ZS+I2vSdmRN27Kv/o6sabAjyxruyJrsHdmRsyO7c3dkd1/KpuT5v9z//xn3/3XdkD//exKw8qvn73YL7Kvvf+lay+jI+19Px//L+18/zP9vvf+lG0azJQPAE/P/p9H4HUmmfkAe8/xXg2xj8/ffba0jz38fBXqOfY7y3d7jZkPX6mngL5R/286/TmEtyS9SOb9foNiPV65QhVF9jMdzUmf3xPJbUdJZSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJAgQYIECRIkSJDw/eF/dJTVHwB4AAA=" |
exercism-python-0005_copy74 | "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" |
exercism-python-0005_copy8 | "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" |
exercism-python-0005_copy9 | "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" |
exercism-python-0006 | "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" |
exercism-python-0006_copy1 | "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" |
exercism-python-0006_copy10 | "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" |
exercism-python-0006_copy11 | "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" |
exercism-python-0006_copy12 | "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" |
exercism-python-0006_copy13 | "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" |
exercism-python-0006_copy14 | "H4sIAExfq2kC/+1c/XLcthHX33wKmM408oyOx/vSSeo4jeLIjqap7bGUSVuPh8KRuCNiEqABUKez43/yBmn7GPknzXv4IfIk3QV5H5J8luTK54yF9dgC8bHY32KxC5ArB82g+eVjevINowlTax+EwoqW/QzDTndexvpW2G6118jJ2gqo1IYqmH7tZlJ7i+SG5+xuq99vb3W2NrfCYGu7t7W53fPWHH3yZKh+HhiZZx9wDtzUm13c45utfq8DP7utdqcz2/Pdzc21Vq/Va2/2+t1OC/Z/uxt210i4yv0/KlPaeke/hIKqmNGf2Pp7BOiYKc2lIHeJ3wpC37OVT+mICfPMltFDyNJEmsXQaTsMg7DulDNDUTVVP1qaVKpI0JwhswMqkoE8YdpfbGU55Rk262nzl7NSEMu86pzw4ZDHZWYm2DVnCS/rlpgaNpJqssCiajB0pKHyqX1AmjVv2KpntcwAlw85U5XMiqEFmIiJY66kyAE0MBnSTLO3YO+3Efuns/6Bi/8u/p+L/2GvH267+H8DiAttVBkbcP9BnnyU+N/ptDtn4n+n2+24+L8Kuk32hVEyqUzA83YNoWREFQR/omnGNshElmTIRQL1mTxm2YQcc2Gw3UwKNlbcMEUoDhtQNaJckELxmN3y9k5iaEuyScVDlTolqcyBJRgdUzhCp4wZIoekoAVTGwTCNbHRGHlzMSJ0TCeB940cs2NsBz6KMMvXxukxFUyTccqEnYKd0JwLECxlBEJ2UZodQrOMjKVKNKGKIbJBxpJb3n2pbPcCIXKDMguj4cRgZOGjgAYCIkrmF1Ib30rmZ4xiebEVpM1Y4Hv3gPuwzKZgDRxPKCpjgwxKQ4Qcn5qkkFOWOoPTDIzfHaIaNagHxAJdcMRHcU0WVgBwAQYOUIiC0TInCcvohAzYUEIDo3FKMmaQE3Sys7FkA/TDoSFnWoOyyqJSj4JwH3j/ANYoXCngEbDAJON0gj0mIEyWoNTAG8ok48ZkjORSsMktz45UjGb8JeobpntRcvUc1S3HutKBJHCCZAoAAlY6UjTXU2FwLapVAe5wuCODCXJTAGuE644iVkg0qpkKidjtkMB7jOsAY8bcpJVJoHZgWKUqXbBKV/Zoh8OxnICeanFwghQQK5bU3CvhAg93w8wfagtSEbwioT6N3CAjfgy2RqFOjcByUR67jmDKlSHH8MQThGzhbaAWpmtHdDmou+HTrCuwTnEDqbmepn2qeQLYl2LaVq9/raxqH0DvqbZwPlApdBFsbIXYsStYGzs58uVYaP/IspkzBQ5HvgZT8I8Cb7cCBj0iUHwERgACjWedTzHcwHG4aSxH6H6eq20FDIczQFZnC/jn5gAjwMDAPMHQoHL34N7+PhhVkdIBMzwmcQq+KbZI1492jxpH/zyyzI4olF8e3Qm8b8FZqBgMxNaXRVE/LYzE6RjY6zHsXWHOwXksDw+WKOjwEUCp9vTRgZGPl4HGjgAZEU+rceXRipbbge1ygSmQdY4zTaoNDHC/t2qDSnNmLp3KEjZwSo8rh6jxUlZ7h0o9s2GnJICFemCtfGFSu4iC+UdnF27WgHrDkq6KA5BE0Fl1XQuKmnY4YFCNRXNeRac4nR8DAoILoDGr9j64qRK3K4Jp0qJoukOdu/+5+9//df/rdLY77v3vTaDp+7vgBy3FR3r/2+qFZ+9/7XDT3f9WQa88fE0KcTRm/g7x2QmclrjO7RtTP4MDZgk3PWwpJiaF6Gvr6162vqqZv62d18Gxj8canp8+8167nebi//L43zkf/1su/q8k/vfPx//tVhhudV34vwkElyujP/CVCfZ0u9/rLY3/uOdPxf+w325310jP7X93/3Prv/L733bY7/fClgsAN8b/47+BTj/S/W+z0z53/2v13P1vFXT7VnPARXNAderh69cG87z8ecIVaRSkmcmRbk7TZTwvzhgVZbF+h7yyqTF8SJ6Sz/4Cg16QkDz7M77MFbPsGxankvgtn3xxhlFTsTFVSWBOjO3Mpqk281HhxaOG3HvtGUULUotF9v6+fwhCJvY1sOfdJgfMlIVX8KJjv9nhp8BG40XJASdcZ/HjUPuLZsKOm6KEph9/JEaVgL8S4UkphP0UhTskCALfq8c053smmr58DooJaRwDdzO4q1OpkPOfWgQ4MnYWhx1YfZ60YDx2wg357NXj/cd7B4e7h98dPA2fvV6R93X3P3f/e8v9r91pu/B/s+L/oi9bZfwHY+uezf/ttfotF/9XQTwvMFrpifbgb1BQkwZVes56uEE+x0j6+R2MpYcp06wKhtXn6dLIxjS/o87FsOERFUWGSuY7MCo1ptA7zeYImssBZvc2p6+Ym4WSg4zlDV2wGCJjbLNdwBYVY82cwqFk+ppZN+sPxM2YCimgZ9aYfbOASe7zjJGMwtxlkVhppCBtMKtG2G60tzyvBlkKblBEz0Px5vkUVet6faoQSTTLVvEAOpx6qNZkt6o7hPHrU0YBPt0Ds7izU+Uss6HVQSRklFMTg8rWNcuGdXOVvDz7dn6XPPVTlmXS3yD+WKoswcJLmQ8401gsqDDafzY/Gp2AphDeXXylPq3FCQKQEJbsniyF2XtR0mz9FI51P+GYYAVM5/Pf2ZgxvOOdFj9hBup1ZMZyzuPdQGAh8TM/SA2olZpgKWcZ1r0dwMKIc/0uBQncFcvFpSFJpm0yS4VtyieqUjEuQpfIEQo6kjKZXM+CIKurLkc9+gJZmcg4bNJa3lHGsMRFxqq6OjNjyaLU/a4IBidk4srWlcJOv6x9jeDwziqzGtgiBxDwoBi22Hq4BqiRLWWYtVJVwtUAM8OW4V1gu8BpOv6KarC8rARX0kNeZoYX2VwVETrTCD+pMcWEiTBb5wL17NVb6dHDvYNlWJf0uRQ0ITV7360GLvsMNJ4ALHTjETiL+LkuL7JpdO7Xs+9y6PCe+07bhYgwOgrNDcdc2AvkhgFg5CPcHuh8/XtU4a/AWF36CixTQ4hYtl7zzlfE+Ehh5IGr8XsDLTXsmXNw0Vn+AB2vCDq+Cuj4Dwe6kFpzOKhcMqJ/nCWXV0Z/Lh7OQiIfgmtmkVR8BE42izAxM+I6UqxgeLq6yFPLB/LBo+uKkpfFM1vFHA70sJTgTbMsqpNiI3ZCY5NNIiniizwpnIBx5a5FfEOLK5y6bAJsBGdruy4zQNIuRw4THl9ofF/tPoQ/1yN8zesahY/YMRNoXtWy1FtNRwVYPcfYO49566dkrX597x2w33Wm+cPChssQRH3D3h/34CPjtkn5gBScxwJcYBANLn2w+3b/4HDvITrHA47Z2Mtc47nWS6Gacb8UKgCSZKyO87CGIzigPp86kQtwvPnXm3+/+Rlx2NJ/bOm3N/9986st/Qql35ZhWxhbjbgiyjc/I4dLu/75wXKWEg/BbRJhqrh1/ZgqHg3wbfcFoH//6ZdrMj/6+y8/LQfg3tO59//u/f/K3v+H7U33+f9m0ML/evDBssCunP/VCrvtTZf/dXP8v8v/+mj+/635X+1+2HMfgG+a//9axs+ZGsJFa5Xff8OwBYe9M99/w033+z8roftPHv2NVL/bs9MJWmFDZzz3vn/05K9f7z+pEqmefPeQFLxYSKESshHTOGUNzBOrsqKcs3DkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR45WR/8Dv1fRwwB4AAA=" |
exercism-python-0006_copy15 | "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" |
exercism-python-0006_copy16 | "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" |
exercism-python-0006_copy17 | "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" |
exercism-python-0006_copy18 | "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" |
exercism-python-0006_copy19 | "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" |
exercism-python-0006_copy2 | "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" |
exercism-python-0006_copy20 | "H4sIAExfq2kC/+1c/XLcthHX33wKmM408oyOx/vSSeo4jeLIjqap7bGUSVuPh8KRuCNiEqABUKez43/yBmn7GPknzXv4IfIk3QV5H5J8luTK54yF9dgC8bHY32KxC5ArB82g+eVjevINowlTax+EwoqW/QzDTndexvpW2G6118jJ2gqo1IYqmH7tZlJ7i+SG5+xuq99vb3W2NrfCYGu7t7W53fPWHH3yZKh+HhiZZx9wDtzUm13c45utfq8DP7utdqcz2/Pdzc21Vq/Va2/2+t1OC/Z/uxt210i4yv0/KlPaeke/hIKqmNGf2Pp7BOiYKc2lIHeJ3wpC37OVT+mICfPMltFDyNJEmsXQaTsMg7DulDNDUTVVP1qaVKpI0JwhswMqkoE8YdpfbGU55Rk262nzl7NSEMu86pzw4ZDHZWYm2DVnCS/rlpgaNpJqssCiajB0pKHyqX1AmjVv2KpntcwAlw85U5XMiqEFmIiJY66kyAE0MBnSTLO3YO+3Efuns/6Bi/8u/p+L/2GvH267+H8DiAttVBkbcP9BnnyU+N/ptDtn4n+n2+24+L8Kuk32hVEyqUzA83YNoWREFQR/omnGNshElmTIRQL1mTxm2YQcc2Gw3UwKNlbcMEUoDhtQNaJckELxmN3y9k5iaEuyScVDlTolqcyBJRgdUzhCp4wZIoekoAVTGwTCNbHRGHlzMSJ0TCeB940cs2NsBz6KMMvXxukxFUyTccqEnYKd0JwLECxlBEJ2UZodQrOMjKVKNKGKIbJBxpJb3n2pbPcCIXKDMguj4cRgZOGjgAYCIkrmF1Ib30rmZ4xiebEVpM1Y4Hv3gPuwzKZgDRxPKCpjgwxKQ4Qcn5qkkFOWOoPTDIzfHaIaNagHxAJdcMRHcU0WVgBwAQYOUIiC0TInCcvohAzYUEIDo3FKMmaQE3Sys7FkA/TDoSFnWoOyyqJSj4JwH3j/ANYoXCngEbDAJON0gj0mIEyWoNTAG8ok48ZkjORSsMktz45UjGb8JeobpntRcvUc1S3HutKBJHCCZAoAAlY6UjTXU2FwLapVAe5wuCODCXJTAGuE644iVkg0qpkKidjtkMB7jOsAY8bcpJVJoHZgWKUqXbBKV/Zoh8OxnICeanFwghQQK5bU3CvhAg93w8wfagtSEbwioT6N3CAjfgy2RqFOjcByUR67jmDKlSHH8MQThGzhbaAWpmtHdDmou+HTrCuwTnEDqbmepn2qeQLYl2LaVq9/raxqH0DvqbZwPlApdBFsbIXYsStYGzs58uVYaP/IspkzBQ5HvgZT8I8Cb7cCBj0iUHwERgACjWedTzHcwHG4aSxH6H6eq20FDIczQFZnC/jn5gAjwMDAPMHQoHL34N7+PhhVkdIBMzwmcQq+KbZI1492jxpH/zyyzI4olF8e3Qm8b8FZqBgMxNaXRVE/LYzE6RjY6zHsXWHOwXksDw+WKOjwEUCp9vTRgZGPl4HGjgAZEU+rceXRipbbge1ygSmQdY4zTaoNDHC/t2qDSnNmLp3KEjZwSo8rh6jxUlZ7h0o9s2GnJICFemCtfGFSu4iC+UdnF27WgHrDkq6KA5BE0Fl1XQuKmnY4YFCNRXNeRac4nR8DAoILoDGr9j64qRK3K4Jp0qJoukOdu/+5+9//df/rdLY77v3vTaDp+7vgBy3FR3r/2+qFZ+9/7XDT3f9WQa88fE0KcTRm/g7x2QmclrjO7RtTP4MDZgk3PWwpJiaF6Gvr6162vqqZv62d18Gxj8canp8+8167nebi//L43zkf/1su/q8k/vfPx//tVhhudV34vwkElyujP/CVCfZ0u9/rLY3/uOdPxf+w325310jP7X93/3Prv/L733bY7/fClgsAN8b/47+BTj/S/W+z0z53/2v13P1vFXT7VnPARXNAderh69cG87z8ecIVaRSkmcmRbk7TZTwvzhgVZbF+h7yyqTF8SJ6Sz/4Cg16QkDz7M77MFbPsGxankvgtn3xxhlFTsTFVSWBOjO3Mpqk281HhxaOG3HvtGUULUotF9v6+fwhCJvY1sOfdJgfMlIVX8KJjv9nhp8BG40XJASdcZ/HjUPuLZsKOm6KEph9/JEaVgL8S4UkphP0UhTskCALfq8c053smmr58DooJaRwDdzO4q1OpkPOfWgQ4MnYWhx1YfZ60YDx2wg357NXj/cd7B4e7h98dPA2fvV6R93X3P3f/e8v9r91pu/B/s+L/oi9bZfwHY+uezf/ttfotF/9XQTwvMFrpifbgb1BQkwZVes56uEE+x0j6+R2MpYcp06wKhtXn6dLIxjS/o87FsOERFUWGSuY7MCo1ptA7zeYImssBZvc2p6+Ym4WSg4zlDV2wGCJjbLNdwBYVY82cwqFk+ppZN+sPxM2YCimgZ9aYfbOASe7zjJGMwtxlkVhppCBtMKtG2G60tzyvBlkKblBEz0Px5vkUVet6faoQSTTLVvEAOpx6qNZkt6o7hPHrU0YBPt0Ds7izU+Uss6HVQSRklFMTg8rWNcuGdXOVvDz7dn6XPPVTlmXS3yD+WKoswcJLmQ8401gsqDDafzY/Gp2AphDeXXylPq3FCQKQEJbsniyF2XtR0mz9FI51P+GYYAVM5/Pf2ZgxvOOdFj9hBup1ZMZyzuPdQGAh8TM/SA2olZpgKWcZ1r0dwMKIc/0uBQncFcvFpSFJpm0yS4VtyieqUjEuQpfIEQo6kjKZXM+CIKurLkc9+gJZmcg4bNJa3lHGsMRFxqq6OjNjyaLU/a4IBidk4srWlcJOv6x9jeDwziqzGtgiBxDwoBi22Hq4BqiRLWWYtVJVwtUAM8OW4V1gu8BpOv6KarC8rARX0kNeZoYX2VwVETrTCD+pMcWEiTBb5wL17NVb6dHDvYNlWJf0uRQ0ITV7360GLvsMNJ4ALHTjETiL+LkuL7JpdO7Xs+9y6PCe+07bhYgwOgrNDcdc2AvkhgFg5CPcHuh8/XtU4a/AWF36CixTQ4hYtl7zzlfE+Ehh5IGr8XsDLTXsmXNw0Vn+AB2vCDq+Cuj4Dwe6kFpzOKhcMqJ/nCWXV0Z/Lh7OQiIfgmtmkVR8BE42izAxM+I6UqxgeLq6yFPLB/LBo+uKkpfFM1vFHA70sJTgTbMsqpNiI3ZCY5NNIiniizwpnIBx5a5FfEOLK5y6bAJsBGdruy4zQNIuRw4THl9ofF/tPoQ/1yN8zesahY/YMRNoXtWy1FtNRwVYPcfYO49566dkrX597x2w33Wm+cPChssQRH3D3h/34CPjtkn5gBScxwJcYBANLn2w+3b/4HDvITrHA47Z2Mtc47nWS6Gacb8UKgCSZKyO87CGIzigPp86kQtwvPnXm3+/+Rlx2NJ/bOm3N/9986st/Qql35ZhWxhbjbgiyjc/I4dLu/75wXKWEg/BbRJhqrh1/ZgqHg3wbfcFoH//6ZdrMj/6+y8/LQfg3tO59//u/f/K3v+H7U33+f9m0ML/evDBssCunP/VCrvtTZf/dXP8v8v/+mj+/635X+1+2HMfgG+a//9axs+ZGsJFa5Xff8OwBYe9M99/w033+z8roftPHv2NVL/bs9MJWmFDZzz3vn/05K9f7z+pEqmefPeQFLxYSKESshHTOGUNzBOrsqKcs3DkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR45WR/8Dv1fRwwB4AAA=" |
exercism-python-0006_copy21 | "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" |
exercism-python-0006_copy22 | "H4sIAExfq2kC/+1c/XLcthHX33wKmM408oyOx/vSSeo4jeLIjqap7bGUSVuPh8KRuCNiEqABUKez43/yBmn7GPknzXv4IfIk3QV5H5J8luTK54yF9dgC8bHY32KxC5ArB82g+eVjevINowlTax+EwoqW/QzDTndexvpW2G6118jJ2gqo1IYqmH7tZlJ7i+SG5+xuq99vb3W2NrfCYGu7t7W53fPWHH3yZKh+HhiZZx9wDtzUm13c45utfq8DP7utdqcz2/Pdzc21Vq/Va2/2+t1OC/Z/uxt210i4yv0/KlPaeke/hIKqmNGf2Pp7BOiYKc2lIHeJ3wpC37OVT+mICfPMltFDyNJEmsXQaTsMg7DulDNDUTVVP1qaVKpI0JwhswMqkoE8YdpfbGU55Rk262nzl7NSEMu86pzw4ZDHZWYm2DVnCS/rlpgaNpJqssCiajB0pKHyqX1AmjVv2KpntcwAlw85U5XMiqEFmIiJY66kyAE0MBnSTLO3YO+3Efuns/6Bi/8u/p+L/2GvH267+H8DiAttVBkbcP9BnnyU+N/ptDtn4n+n2+24+L8Kuk32hVEyqUzA83YNoWREFQR/omnGNshElmTIRQL1mTxm2YQcc2Gw3UwKNlbcMEUoDhtQNaJckELxmN3y9k5iaEuyScVDlTolqcyBJRgdUzhCp4wZIoekoAVTGwTCNbHRGHlzMSJ0TCeB940cs2NsBz6KMMvXxukxFUyTccqEnYKd0JwLECxlBEJ2UZodQrOMjKVKNKGKIbJBxpJb3n2pbPcCIXKDMguj4cRgZOGjgAYCIkrmF1Ib30rmZ4xiebEVpM1Y4Hv3gPuwzKZgDRxPKCpjgwxKQ4Qcn5qkkFOWOoPTDIzfHaIaNagHxAJdcMRHcU0WVgBwAQYOUIiC0TInCcvohAzYUEIDo3FKMmaQE3Sys7FkA/TDoSFnWoOyyqJSj4JwH3j/ANYoXCngEbDAJON0gj0mIEyWoNTAG8ok48ZkjORSsMktz45UjGb8JeobpntRcvUc1S3HutKBJHCCZAoAAlY6UjTXU2FwLapVAe5wuCODCXJTAGuE644iVkg0qpkKidjtkMB7jOsAY8bcpJVJoHZgWKUqXbBKV/Zoh8OxnICeanFwghQQK5bU3CvhAg93w8wfagtSEbwioT6N3CAjfgy2RqFOjcByUR67jmDKlSHH8MQThGzhbaAWpmtHdDmou+HTrCuwTnEDqbmepn2qeQLYl2LaVq9/raxqH0DvqbZwPlApdBFsbIXYsStYGzs58uVYaP/IspkzBQ5HvgZT8I8Cb7cCBj0iUHwERgACjWedTzHcwHG4aSxH6H6eq20FDIczQFZnC/jn5gAjwMDAPMHQoHL34N7+PhhVkdIBMzwmcQq+KbZI1492jxpH/zyyzI4olF8e3Qm8b8FZqBgMxNaXRVE/LYzE6RjY6zHsXWHOwXksDw+WKOjwEUCp9vTRgZGPl4HGjgAZEU+rceXRipbbge1ygSmQdY4zTaoNDHC/t2qDSnNmLp3KEjZwSo8rh6jxUlZ7h0o9s2GnJICFemCtfGFSu4iC+UdnF27WgHrDkq6KA5BE0Fl1XQuKmnY4YFCNRXNeRac4nR8DAoILoDGr9j64qRK3K4Jp0qJoukOdu/+5+9//df/rdLY77v3vTaDp+7vgBy3FR3r/2+qFZ+9/7XDT3f9WQa88fE0KcTRm/g7x2QmclrjO7RtTP4MDZgk3PWwpJiaF6Gvr6162vqqZv62d18Gxj8canp8+8167nebi//L43zkf/1su/q8k/vfPx//tVhhudV34vwkElyujP/CVCfZ0u9/rLY3/uOdPxf+w325310jP7X93/3Prv/L733bY7/fClgsAN8b/47+BTj/S/W+z0z53/2v13P1vFXT7VnPARXNAderh69cG87z8ecIVaRSkmcmRbk7TZTwvzhgVZbF+h7yyqTF8SJ6Sz/4Cg16QkDz7M77MFbPsGxankvgtn3xxhlFTsTFVSWBOjO3Mpqk281HhxaOG3HvtGUULUotF9v6+fwhCJvY1sOfdJgfMlIVX8KJjv9nhp8BG40XJASdcZ/HjUPuLZsKOm6KEph9/JEaVgL8S4UkphP0UhTskCALfq8c053smmr58DooJaRwDdzO4q1OpkPOfWgQ4MnYWhx1YfZ60YDx2wg357NXj/cd7B4e7h98dPA2fvV6R93X3P3f/e8v9r91pu/B/s+L/oi9bZfwHY+uezf/ttfotF/9XQTwvMFrpifbgb1BQkwZVes56uEE+x0j6+R2MpYcp06wKhtXn6dLIxjS/o87FsOERFUWGSuY7MCo1ptA7zeYImssBZvc2p6+Ym4WSg4zlDV2wGCJjbLNdwBYVY82cwqFk+ppZN+sPxM2YCimgZ9aYfbOASe7zjJGMwtxlkVhppCBtMKtG2G60tzyvBlkKblBEz0Px5vkUVet6faoQSTTLVvEAOpx6qNZkt6o7hPHrU0YBPt0Ds7izU+Uss6HVQSRklFMTg8rWNcuGdXOVvDz7dn6XPPVTlmXS3yD+WKoswcJLmQ8401gsqDDafzY/Gp2AphDeXXylPq3FCQKQEJbsniyF2XtR0mz9FI51P+GYYAVM5/Pf2ZgxvOOdFj9hBup1ZMZyzuPdQGAh8TM/SA2olZpgKWcZ1r0dwMKIc/0uBQncFcvFpSFJpm0yS4VtyieqUjEuQpfIEQo6kjKZXM+CIKurLkc9+gJZmcg4bNJa3lHGsMRFxqq6OjNjyaLU/a4IBidk4srWlcJOv6x9jeDwziqzGtgiBxDwoBi22Hq4BqiRLWWYtVJVwtUAM8OW4V1gu8BpOv6KarC8rARX0kNeZoYX2VwVETrTCD+pMcWEiTBb5wL17NVb6dHDvYNlWJf0uRQ0ITV7360GLvsMNJ4ALHTjETiL+LkuL7JpdO7Xs+9y6PCe+07bhYgwOgrNDcdc2AvkhgFg5CPcHuh8/XtU4a/AWF36CixTQ4hYtl7zzlfE+Ehh5IGr8XsDLTXsmXNw0Vn+AB2vCDq+Cuj4Dwe6kFpzOKhcMqJ/nCWXV0Z/Lh7OQiIfgmtmkVR8BE42izAxM+I6UqxgeLq6yFPLB/LBo+uKkpfFM1vFHA70sJTgTbMsqpNiI3ZCY5NNIiniizwpnIBx5a5FfEOLK5y6bAJsBGdruy4zQNIuRw4THl9ofF/tPoQ/1yN8zesahY/YMRNoXtWy1FtNRwVYPcfYO49566dkrX597x2w33Wm+cPChssQRH3D3h/34CPjtkn5gBScxwJcYBANLn2w+3b/4HDvITrHA47Z2Mtc47nWS6Gacb8UKgCSZKyO87CGIzigPp86kQtwvPnXm3+/+Rlx2NJ/bOm3N/9986st/Qql35ZhWxhbjbgiyjc/I4dLu/75wXKWEg/BbRJhqrh1/ZgqHg3wbfcFoH//6ZdrMj/6+y8/LQfg3tO59//u/f/K3v+H7U33+f9m0ML/evDBssCunP/VCrvtTZf/dXP8v8v/+mj+/635X+1+2HMfgG+a//9axs+ZGsJFa5Xff8OwBYe9M99/w033+z8roftPHv2NVL/bs9MJWmFDZzz3vn/05K9f7z+pEqmefPeQFLxYSKESshHTOGUNzBOrsqKcs3DkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR45WR/8Dv1fRwwB4AAA=" |
exercism-python-0006_copy23 | "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" |
exercism-python-0006_copy24 | "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" |
exercism-python-0006_copy25 | "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" |
exercism-python-0006_copy26 | "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" |
exercism-python-0006_copy27 | "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" |
exercism-python-0006_copy28 | "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" |
exercism-python-0006_copy29 | "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" |
exercism-python-0006_copy3 | "H4sIAExfq2kC/+1c/XLcthHX33wKmM408oyOx/vSSeo4jeLIjqap7bGUSVuPh8KRuCNiEqABUKez43/yBmn7GPknzXv4IfIk3QV5H5J8luTK54yF9dgC8bHY32KxC5ArB82g+eVjevINowlTax+EwoqW/QzDTndexvpW2G6118jJ2gqo1IYqmH7tZlJ7i+SG5+xuq99vb3W2NrfCYGu7t7W53fPWHH3yZKh+HhiZZx9wDtzUm13c45utfq8DP7utdqcz2/Pdzc21Vq/Va2/2+t1OC/Z/uxt210i4yv0/KlPaeke/hIKqmNGf2Pp7BOiYKc2lIHeJ3wpC37OVT+mICfPMltFDyNJEmsXQaTsMg7DulDNDUTVVP1qaVKpI0JwhswMqkoE8YdpfbGU55Rk262nzl7NSEMu86pzw4ZDHZWYm2DVnCS/rlpgaNpJqssCiajB0pKHyqX1AmjVv2KpntcwAlw85U5XMiqEFmIiJY66kyAE0MBnSTLO3YO+3Efuns/6Bi/8u/p+L/2GvH267+H8DiAttVBkbcP9BnnyU+N/ptDtn4n+n2+24+L8Kuk32hVEyqUzA83YNoWREFQR/omnGNshElmTIRQL1mTxm2YQcc2Gw3UwKNlbcMEUoDhtQNaJckELxmN3y9k5iaEuyScVDlTolqcyBJRgdUzhCp4wZIoekoAVTGwTCNbHRGHlzMSJ0TCeB940cs2NsBz6KMMvXxukxFUyTccqEnYKd0JwLECxlBEJ2UZodQrOMjKVKNKGKIbJBxpJb3n2pbPcCIXKDMguj4cRgZOGjgAYCIkrmF1Ib30rmZ4xiebEVpM1Y4Hv3gPuwzKZgDRxPKCpjgwxKQ4Qcn5qkkFOWOoPTDIzfHaIaNagHxAJdcMRHcU0WVgBwAQYOUIiC0TInCcvohAzYUEIDo3FKMmaQE3Sys7FkA/TDoSFnWoOyyqJSj4JwH3j/ANYoXCngEbDAJON0gj0mIEyWoNTAG8ok48ZkjORSsMktz45UjGb8JeobpntRcvUc1S3HutKBJHCCZAoAAlY6UjTXU2FwLapVAe5wuCODCXJTAGuE644iVkg0qpkKidjtkMB7jOsAY8bcpJVJoHZgWKUqXbBKV/Zoh8OxnICeanFwghQQK5bU3CvhAg93w8wfagtSEbwioT6N3CAjfgy2RqFOjcByUR67jmDKlSHH8MQThGzhbaAWpmtHdDmou+HTrCuwTnEDqbmepn2qeQLYl2LaVq9/raxqH0DvqbZwPlApdBFsbIXYsStYGzs58uVYaP/IspkzBQ5HvgZT8I8Cb7cCBj0iUHwERgACjWedTzHcwHG4aSxH6H6eq20FDIczQFZnC/jn5gAjwMDAPMHQoHL34N7+PhhVkdIBMzwmcQq+KbZI1492jxpH/zyyzI4olF8e3Qm8b8FZqBgMxNaXRVE/LYzE6RjY6zHsXWHOwXksDw+WKOjwEUCp9vTRgZGPl4HGjgAZEU+rceXRipbbge1ygSmQdY4zTaoNDHC/t2qDSnNmLp3KEjZwSo8rh6jxUlZ7h0o9s2GnJICFemCtfGFSu4iC+UdnF27WgHrDkq6KA5BE0Fl1XQuKmnY4YFCNRXNeRac4nR8DAoILoDGr9j64qRK3K4Jp0qJoukOdu/+5+9//df/rdLY77v3vTaDp+7vgBy3FR3r/2+qFZ+9/7XDT3f9WQa88fE0KcTRm/g7x2QmclrjO7RtTP4MDZgk3PWwpJiaF6Gvr6162vqqZv62d18Gxj8canp8+8167nebi//L43zkf/1su/q8k/vfPx//tVhhudV34vwkElyujP/CVCfZ0u9/rLY3/uOdPxf+w325310jP7X93/3Prv/L733bY7/fClgsAN8b/47+BTj/S/W+z0z53/2v13P1vFXT7VnPARXNAderh69cG87z8ecIVaRSkmcmRbk7TZTwvzhgVZbF+h7yyqTF8SJ6Sz/4Cg16QkDz7M77MFbPsGxankvgtn3xxhlFTsTFVSWBOjO3Mpqk281HhxaOG3HvtGUULUotF9v6+fwhCJvY1sOfdJgfMlIVX8KJjv9nhp8BG40XJASdcZ/HjUPuLZsKOm6KEph9/JEaVgL8S4UkphP0UhTskCALfq8c053smmr58DooJaRwDdzO4q1OpkPOfWgQ4MnYWhx1YfZ60YDx2wg357NXj/cd7B4e7h98dPA2fvV6R93X3P3f/e8v9r91pu/B/s+L/oi9bZfwHY+uezf/ttfotF/9XQTwvMFrpifbgb1BQkwZVes56uEE+x0j6+R2MpYcp06wKhtXn6dLIxjS/o87FsOERFUWGSuY7MCo1ptA7zeYImssBZvc2p6+Ym4WSg4zlDV2wGCJjbLNdwBYVY82cwqFk+ppZN+sPxM2YCimgZ9aYfbOASe7zjJGMwtxlkVhppCBtMKtG2G60tzyvBlkKblBEz0Px5vkUVet6faoQSTTLVvEAOpx6qNZkt6o7hPHrU0YBPt0Ds7izU+Uss6HVQSRklFMTg8rWNcuGdXOVvDz7dn6XPPVTlmXS3yD+WKoswcJLmQ8401gsqDDafzY/Gp2AphDeXXylPq3FCQKQEJbsniyF2XtR0mz9FI51P+GYYAVM5/Pf2ZgxvOOdFj9hBup1ZMZyzuPdQGAh8TM/SA2olZpgKWcZ1r0dwMKIc/0uBQncFcvFpSFJpm0yS4VtyieqUjEuQpfIEQo6kjKZXM+CIKurLkc9+gJZmcg4bNJa3lHGsMRFxqq6OjNjyaLU/a4IBidk4srWlcJOv6x9jeDwziqzGtgiBxDwoBi22Hq4BqiRLWWYtVJVwtUAM8OW4V1gu8BpOv6KarC8rARX0kNeZoYX2VwVETrTCD+pMcWEiTBb5wL17NVb6dHDvYNlWJf0uRQ0ITV7360GLvsMNJ4ALHTjETiL+LkuL7JpdO7Xs+9y6PCe+07bhYgwOgrNDcdc2AvkhgFg5CPcHuh8/XtU4a/AWF36CixTQ4hYtl7zzlfE+Ehh5IGr8XsDLTXsmXNw0Vn+AB2vCDq+Cuj4Dwe6kFpzOKhcMqJ/nCWXV0Z/Lh7OQiIfgmtmkVR8BE42izAxM+I6UqxgeLq6yFPLB/LBo+uKkpfFM1vFHA70sJTgTbMsqpNiI3ZCY5NNIiniizwpnIBx5a5FfEOLK5y6bAJsBGdruy4zQNIuRw4THl9ofF/tPoQ/1yN8zesahY/YMRNoXtWy1FtNRwVYPcfYO49566dkrX597x2w33Wm+cPChssQRH3D3h/34CPjtkn5gBScxwJcYBANLn2w+3b/4HDvITrHA47Z2Mtc47nWS6Gacb8UKgCSZKyO87CGIzigPp86kQtwvPnXm3+/+Rlx2NJ/bOm3N/9986st/Qql35ZhWxhbjbgiyjc/I4dLu/75wXKWEg/BbRJhqrh1/ZgqHg3wbfcFoH//6ZdrMj/6+y8/LQfg3tO59//u/f/K3v+H7U33+f9m0ML/evDBssCunP/VCrvtTZf/dXP8v8v/+mj+/635X+1+2HMfgG+a//9axs+ZGsJFa5Xff8OwBYe9M99/w033+z8roftPHv2NVL/bs9MJWmFDZzz3vn/05K9f7z+pEqmefPeQFLxYSKESshHTOGUNzBOrsqKcs3DkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR44cOXLkyJEjR45WR/8Dv1fRwwB4AAA=" |
exercism-python-0006_copy30 | "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" |
exercism-python-0006_copy31 | "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" |
exercism-python-0006_copy32 | "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" |
exercism-python-0006_copy33 | "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" |
exercism-python-0006_copy34 | "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" |
exercism-python-0006_copy35 | "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" |
exercism-python-0006_copy36 | "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" |
exercism-python-0006_copy37 | "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" |
exercism-python-0006_copy38 | "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" |
exercism-python-0006_copy39 | "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" |
exercism-python-0006_copy4 | "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" |
exercism-python-0006_copy40 | "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" |
exercism-python-0006_copy41 | "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" |
exercism-python-0006_copy42 | "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" |
exercism-python-0006_copy43 | "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" |
exercism-python-0006_copy44 | "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" |
exercism-python-0006_copy45 | "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" |
exercism-python-0006_copy46 | "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" |
exercism-python-0006_copy47 | "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" |
exercism-python-0006_copy48 | "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" |
exercism-python-0006_copy49 | "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" |
exercism-python-0006_copy5 | "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" |
exercism-python-0006_copy50 | "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" |
exercism-python-0006_copy51 | "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" |
exercism-python-0006_copy52 | "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" |
exercism-python-0006_copy53 | "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" |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.