Split (1)

train · 10k rows

path stringlengths 20 27	task_binary unknown
exercism-python-0010_copy54	"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"
exercism-python-0010_copy55	"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"
exercism-python-0010_copy56	"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"
exercism-python-0010_copy57	"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"
exercism-python-0010_copy58	"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_copy59	"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"
exercism-python-0010_copy6	"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"
exercism-python-0010_copy60	"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"
exercism-python-0010_copy61	"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_copy62	"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"
exercism-python-0010_copy63	"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"
exercism-python-0010_copy64	"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_copy65	"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"
exercism-python-0010_copy66	"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_copy67	"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"
exercism-python-0010_copy68	"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_copy69	"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_copy7	"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"
exercism-python-0010_copy70	"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"
exercism-python-0010_copy71	"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"
exercism-python-0010_copy72	"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"
exercism-python-0010_copy73	"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"
exercism-python-0010_copy74	"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"
exercism-python-0010_copy8	"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"
exercism-python-0010_copy9	"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"
exercism-python-0011	"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"
exercism-python-0011_copy1	"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"
exercism-python-0011_copy10	"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"
exercism-python-0011_copy11	"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"
exercism-python-0011_copy12	"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"
exercism-python-0011_copy13	"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"
exercism-python-0011_copy14	"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"
exercism-python-0011_copy15	"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"
exercism-python-0011_copy16	"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"
exercism-python-0011_copy17	"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"
exercism-python-0011_copy18	"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"
exercism-python-0011_copy19	"H4sIAE1fq2kC/+1be3MbtxHX3/gUKJWpSFU83h1fkjpy48ROq+k08chO0xmNQoF3IInqDjgDOEkcx9+9u8DxoZdTdUa0ax0ysUgcdvHbxT6AwzLoBJ1v37Drv3GWcr31JC307aG/YdjtrT5jfxTGUbxFr7c20EpjmYbpt55ni/dpbkXOj6LhMN7v7g/2w+Ag6sf9qEu26vbVN8vMRWBVnj3hHOjUgx76+CAa9rvwtxfF3e7S53uDwVbUB6Mb9Ie9bgT+H/fC3hYNN+n/03LGok+MSxmoilvzla0/odAuuTZCSXpEG1EQNojrPGVTLu2Z+4wRQpV2ZHgCgw7CMAirQTm3DFXjx7HSzpQeSZZzZPaWyXSsrrlprD/lORMZPjaLx98uPwWJyv3gVEwmIikzO8ehOU9FWT1JmOVTpedrLPwDy6YGOk/dF2zLx3uu66zCDOKKieDaY9YcLcCOuLwUWskchAYmE5YZfo/swxhl/3rWP6jzf53/7+T/cD+OB3X+fwZNSGN1mVgI/0Gefpb834ui6Fb+7/a6wzr/b6Jt0+OVBRhCvlcS0qOljI6FZJBkZZmPud6DNFlApoTkyFPKDDwHKiGntMmDaUB3ohD/22ntUauosIamPBE5yyh/X4pLlmFWLQ0STIQ2lhZAnIgig5RPyHEOH1zirSYFHgv6xAHC7UlA/iouuVxBE7IobYVjj85VqYGtmmqWUzNTZZbi17RMOJAs2EEmB6KAvJvx24NnsFnIOHAFuCL13BHd9jb9UVlOSJuugFqgX0FzkxueTQLYMrxSVCqUllOjYH80Q6k5bCdQrILridL5bXroQx5+tpdjQEm/80I2vwOza8ctQl5VIgjU/hh7o5CaubE8B7qX1UrRuAvQ3XMKzwEJw6WFXRN0clpKSPPGKlWtYiYkZxqg5KhUN1JNaKGuYBR+isJDFBzVpcV0ZnMFi5eKqbB0Ct5Ac9ihwTIKsIrxHEb/GsImKaooJL+2C1j3j45wdAjDgyCoiHblrp19mmq3KdtRaxcpXmYZ6hKEhVUrOYikQe1lDhtGUMpbdUjPQSFHL2i866b7E+3uepS+y3cAChhV6eyckEr3oGkjcpExsP9x6ZbUrOkmpprB3BoAgHLXdbaYGnwCJ4p2419jmCmEvwgBv4f+Qc93u043Fjvch/4ST0BueillRcFl6mzl9XXCC7dsOTcGtuwGpwarg5xuwBFRBskTfOb96lQzAWwBMF+QnjVn1hbmsNNJVWKCYg7bdBkoPe10O7a0SguWdbjWSpsALCDbRhZg1O0lB9MK6C8z7vyApgoUIozzyIVvseyKzQGPTLIyRX/c3c05k8BkUkKMQN4LAXZ3XQiRqcCNPr2aMe9tBlwMXBn0i988iTAB2AyImLMLENeFgETBBLkCM9Cwp2XjDIUF7+ZZgcs5lbD3B2ew2ZxeCbC0lI/L6RSQBPQHYGmELZlX8xWsLXdSXEh1hats1+au8FwJsMAxipRA3GTgenZecC88+lwyU8q7vle8kksZTselyCx6q+eIhOZTi5GJsYZl7Kz07tfDBYMkYwbss+VNtdK7sQhvpfY1pVfqBlN1GizgDITnLQgG/JrrBLFqDN4Q9b3oKBEGNQfdCwO507p4+CnUmk9AjzLhHXAmiJ8jY3NbIQdebceqvWTVQl017EyrqwYgPv8n+vVrVNA5roh08zM9LV0cLlDo1Fm5wqzlY3eVIDJhuWZZ4OKKhXOe8culJCw+UlIxcWKNFRjCuQNy7vifL1V87qxnXYNObd52hEX1LZb2NlgcsSTYo1ca4DjuCx4YgeVKFqvuzI0mAQH4/PzcqxQiAb9mqMX/URfEQ13hbDaO5X0DD2kDIpGL9KaFAAghbzKWcO9lRmWlCztgvR2IR516K12f/+vz/1dy/u+Gwyiuz//PoC3e3wb/Nkp+pvf/UT+8ff6Pw0F9/t9E+0DwNbnbyjYg5Vdbv9y9MW9kTE5L2KjgE7//8P2LDSL2+57V2/pVn1WFSAx8Pz0jH2tPq/P/w/m/ezf/R3X+30j+H96T/+PhftSr0/9zaO5U/MSHN/DpeNjvP5j/0edv5P9wGMe9Ldqv/b8+/9Xrv/nzX9zvduO6/uv5xH/8NzCzz3T+G3TjO+e/qF+f/zbRtv/QGQvZGTMzIyAebXNC8otUaNouaCdTU9NZlEsRkmScybJotugHVxolJvSUfvMXIHpPQ3r2Z3wdLZfVVzyZKdqIGvTFLUYdza+YTgN7bd1gvii1WlGFv081EeQjsZoVtIJFX//r+B2ATN0LaUK26Vtuy4IUosArUVjnLKPt9vtSgJxwnAWbp/GLTsovO7KER7/9Rq0uQX4P4aSUeFXi7w2CIGiQiqaz8pnR4jV4UMxp+xK42/GRmSmNnP8YUeDI+W05HGF1D43CEH4tLP3mw5vjN6/fvnv57ue3p+HZxw1F3zr/1/n/vvPffvegzv/PKv+vx7KN5v9e1O/dyv/9aBjX+X8TTeQFZiszNwT+DwpmZwHkSq5tM9yjO5hJd1qENBqNd+7+HAuV8NK5uixevAleq+HyRURSWX5Ijic3b6ixAIppw0eLCi4jd+7cVFelP0BIJqV0JS+LcobFPfvq+np1y35/NUmA0EklZSmFRVMnZKJVviwj8w/XgRHc62B9gC8EQtGbC+IAv30PttA69IXqfOL2CBXpKBoJM6rKzUZRE6vCqpHYXJEY3tNr+/p9ybLm+rRN2C219mjUIvdzDtdZx49lHSLv+CHeN2B3H8vb4e4+iPsG8N6jgTvkvYe538B+8Hj2Dv3Bg5oJbyl+8GjthJXyBw/LELpRNzUVRfH+46VZcHKmBBxuz1kVOC7mtvwatqMym9+eyXnW2nQn6HymufK9FhawgLetSLDdxJMwGGkbrYfxY4lLE7gEy7IXwL02ycOUN4gCCDIGNs579MGCliWWT+rDh58RBLAR1lXFT6IW2OGG6DRfglqWWP4LtZgRiu9s5on0IlXBvxS9VFh+332cUioNPYleEAnGkC9BL0ssBM7/I/djr9GIHh3RndEoZ0KORjtelGXGxN5mqz5P1O//6/vfL+38f+/9L/6Yo3bX59DWfvX6ZLfAj77/jcJePKjvf+v3v/X6f573v2F0MKzrf59b/H+lkguuJyLjG33/G979/W8/HNT1vxtpP5z89A/qa3sPu0EUtk0mcvLLTyd/f3V84i9ST37+kRaiWLtClaqdsGTG23hP7G9F62BRt7rVrW7/X+0/p8QGWABQAAA="
exercism-python-0011_copy2	"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"
exercism-python-0011_copy20	"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"
exercism-python-0011_copy21	"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"
exercism-python-0011_copy22	"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"
exercism-python-0011_copy23	"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"
exercism-python-0011_copy24	"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"
exercism-python-0011_copy25	"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"
exercism-python-0011_copy26	"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"
exercism-python-0011_copy27	"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"
exercism-python-0011_copy28	"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"
exercism-python-0011_copy29	"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"
exercism-python-0011_copy3	"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"
exercism-python-0011_copy30	"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"
exercism-python-0011_copy31	"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"
exercism-python-0011_copy32	"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"
exercism-python-0011_copy33	"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"
exercism-python-0011_copy34	"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"
exercism-python-0011_copy35	"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"
exercism-python-0011_copy36	"H4sIAE5fq2kC/+1be3MbtxHX3/gUKJWpSFU83h1fkjpy48ROq+k08chO0xmNQoF3IInqDjgDOEkcx9+9u8DxoZdTdUa0ax0ysUgcdvHbxT6AwzLoBJ1v37Drv3GWcr31JC307aG/YdjtrT5jfxTGUbxFr7c20EpjmYbpt55ni/dpbkXOj6LhMN7v7g/2w+Ag6sf9qEu26vbVN8vMRWBVnj3hHOjUgx76+CAa9rvwtxfF3e7S53uDwVbUB6Mb9Ie9bgT+H/fC3hYNN+n/03LGok+MSxmoilvzla0/odAuuTZCSXpEG1EQNojrPGVTLu2Z+4wRQpV2ZHgCgw7CMAirQTm3DFXjx7HSzpQeSZZzZPaWyXSsrrlprD/lORMZPjaLx98uPwWJyv3gVEwmIikzO8ehOU9FWT1JmOVTpedrLPwDy6YGOk/dF2zLx3uu66zCDOKKieDaY9YcLcCOuLwUWskchAYmE5YZfo/swxhl/3rWP6jzf53/7+T/cD+OB3X+fwZNSGN1mVgI/0Gefpb834ui6Fb+7/a6wzr/b6Jt0+OVBRhCvlcS0qOljI6FZJBkZZmPud6DNFlApoTkyFPKDDwHKiGntMmDaUB3ohD/22ntUauosIamPBE5yyh/X4pLlmFWLQ0STIQ2lhZAnIgig5RPyHEOH1zirSYFHgv6xAHC7UlA/iouuVxBE7IobYVjj85VqYGtmmqWUzNTZZbi17RMOJAs2EEmB6KAvJvx24NnsFnIOHAFuCL13BHd9jb9UVlOSJuugFqgX0FzkxueTQLYMrxSVCqUllOjYH80Q6k5bCdQrILridL5bXroQx5+tpdjQEm/80I2vwOza8ctQl5VIgjU/hh7o5CaubE8B7qX1UrRuAvQ3XMKzwEJw6WFXRN0clpKSPPGKlWtYiYkZxqg5KhUN1JNaKGuYBR+isJDFBzVpcV0ZnMFi5eKqbB0Ct5Ac9ihwTIKsIrxHEb/GsImKaooJL+2C1j3j45wdAjDgyCoiHblrp19mmq3KdtRaxcpXmYZ6hKEhVUrOYikQe1lDhtGUMpbdUjPQSFHL2i866b7E+3uepS+y3cAChhV6eyckEr3oGkjcpExsP9x6ZbUrOkmpprB3BoAgHLXdbaYGnwCJ4p2419jmCmEvwgBv4f+Qc93u043Fjvch/4ST0BueillRcFl6mzl9XXCC7dsOTcGtuwGpwarg5xuwBFRBskTfOb96lQzAWwBMF+QnjVn1hbmsNNJVWKCYg7bdBkoPe10O7a0SguWdbjWSpsALCDbRhZg1O0lB9MK6C8z7vyApgoUIozzyIVvseyKzQGPTLIyRX/c3c05k8BkUkKMQN4LAXZ3XQiRqcCNPr2aMe9tBlwMXBn0i988iTAB2AyImLMLENeFgETBBLkCM9Cwp2XjDIUF7+ZZgcs5lbD3B2ew2ZxeCbC0lI/L6RSQBPQHYGmELZlX8xWsLXdSXEh1hats1+au8FwJsMAxipRA3GTgenZecC88+lwyU8q7vle8kksZTselyCx6q+eIhOZTi5GJsYZl7Kz07tfDBYMkYwbss+VNtdK7sQhvpfY1pVfqBlN1GizgDITnLQgG/JrrBLFqDN4Q9b3oKBEGNQfdCwO507p4+CnUmk9AjzLhHXAmiJ8jY3NbIQdebceqvWTVQl017EyrqwYgPv8n+vVrVNA5roh08zM9LV0cLlDo1Fm5wqzlY3eVIDJhuWZZ4OKKhXOe8culJCw+UlIxcWKNFRjCuQNy7vifL1V87qxnXYNObd52hEX1LZb2NlgcsSTYo1ca4DjuCx4YgeVKFqvuzI0mAQH4/PzcqxQiAb9mqMX/URfEQ13hbDaO5X0DD2kDIpGL9KaFAAghbzKWcO9lRmWlCztgvR2IR516K12f/+vz/1dy/u+Gwyiuz//PoC3e3wb/Nkp+pvf/UT+8ff6Pw0F9/t9E+0DwNbnbyjYg5Vdbv9y9MW9kTE5L2KjgE7//8P2LDSL2+57V2/pVn1WFSAx8Pz0jH2tPq/P/w/m/ezf/R3X+30j+H96T/+PhftSr0/9zaO5U/MSHN/DpeNjvP5j/0edv5P9wGMe9Ldqv/b8+/9Xrv/nzX9zvduO6/uv5xH/8NzCzz3T+G3TjO+e/qF+f/zbRtv/QGQvZGTMzIyAebXNC8otUaNouaCdTU9NZlEsRkmScybJotugHVxolJvSUfvMXIHpPQ3r2Z3wdLZfVVzyZKdqIGvTFLUYdza+YTgN7bd1gvii1WlGFv081EeQjsZoVtIJFX//r+B2ATN0LaUK26Vtuy4IUosArUVjnLKPt9vtSgJxwnAWbp/GLTsovO7KER7/9Rq0uQX4P4aSUeFXi7w2CIGiQiqaz8pnR4jV4UMxp+xK42/GRmSmNnP8YUeDI+W05HGF1D43CEH4tLP3mw5vjN6/fvnv57ue3p+HZxw1F3zr/1/n/vvPffvegzv/PKv+vx7KN5v9e1O/dyv/9aBjX+X8TTeQFZiszNwT+DwpmZwHkSq5tM9yjO5hJd1qENBqNd+7+HAuV8NK5uixevAleq+HyRURSWX5Ijic3b6ixAIppw0eLCi4jd+7cVFelP0BIJqV0JS+LcobFPfvq+np1y35/NUmA0EklZSmFRVMnZKJVviwj8w/XgRHc62B9gC8EQtGbC+IAv30PttA69IXqfOL2CBXpKBoJM6rKzUZRE6vCqpHYXJEY3tNr+/p9ybLm+rRN2C219mjUIvdzDtdZx49lHSLv+CHeN2B3H8vb4e4+iPsG8N6jgTvkvYe538B+8Hj2Dv3Bg5oJbyl+8GjthJXyBw/LELpRNzUVRfH+46VZcHKmBBxuz1kVOC7mtvwatqMym9+eyXnW2nQn6HymufK9FhawgLetSLDdxJMwGGkbrYfxY4lLE7gEy7IXwL02ycOUN4gCCDIGNs579MGCliWWT+rDh58RBLAR1lXFT6IW2OGG6DRfglqWWP4LtZgRiu9s5on0IlXBvxS9VFh+332cUioNPYleEAnGkC9BL0ssBM7/I/djr9GIHh3RndEoZ0KORjtelGXGxN5mqz5P1O//6/vfL+38f+/9L/6Yo3bX59DWfvX6ZLfAj77/jcJePKjvf+v3v/X6f573v2F0MKzrf59b/H+lkguuJyLjG33/G979/W8/HNT1vxtpP5z89A/qa3sPu0EUtk0mcvLLTyd/f3V84i9ST37+kRaiWLtClaqdsGTG23hP7G9F62BRt7rVrW7/X+0/p8QGWABQAAA="
exercism-python-0011_copy37	"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"
exercism-python-0011_copy38	"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"
exercism-python-0011_copy39	"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"
exercism-python-0011_copy4	"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"
exercism-python-0011_copy40	"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"
exercism-python-0011_copy41	"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"
exercism-python-0011_copy42	"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"
exercism-python-0011_copy43	"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"
exercism-python-0011_copy44	"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"
exercism-python-0011_copy45	"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"
exercism-python-0011_copy46	"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"
exercism-python-0011_copy47	"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"
exercism-python-0011_copy48	"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"
exercism-python-0011_copy49	"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"
exercism-python-0011_copy5	"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"
exercism-python-0011_copy50	"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"
exercism-python-0011_copy51	"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"
exercism-python-0011_copy52	"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"
exercism-python-0011_copy53	"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"
exercism-python-0011_copy54	"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"
exercism-python-0011_copy55	"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"
exercism-python-0011_copy56	"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"
exercism-python-0011_copy57	"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"
exercism-python-0011_copy58	"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"
exercism-python-0011_copy59	"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"
exercism-python-0011_copy6	"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"
exercism-python-0011_copy60	"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"
exercism-python-0011_copy61	"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"
exercism-python-0011_copy62	"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"
exercism-python-0011_copy63	"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"
exercism-python-0011_copy64	"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"
exercism-python-0011_copy65	"H4sIAE5fq2kC/+1be3MbtxHX3/gUKJWpSFU83h1fkjpy48ROq+k08chO0xmNQoF3IInqDjgDOEkcx9+9u8DxoZdTdUa0ax0ysUgcdvHbxT6AwzLoBJ1v37Drv3GWcr31JC307aG/YdjtrT5jfxTGUbxFr7c20EpjmYbpt55ni/dpbkXOj6LhMN7v7g/2w+Ag6sf9qEu26vbVN8vMRWBVnj3hHOjUgx76+CAa9rvwtxfF3e7S53uDwVbUB6Mb9Ie9bgT+H/fC3hYNN+n/03LGok+MSxmoilvzla0/odAuuTZCSXpEG1EQNojrPGVTLu2Z+4wRQpV2ZHgCgw7CMAirQTm3DFXjx7HSzpQeSZZzZPaWyXSsrrlprD/lORMZPjaLx98uPwWJyv3gVEwmIikzO8ehOU9FWT1JmOVTpedrLPwDy6YGOk/dF2zLx3uu66zCDOKKieDaY9YcLcCOuLwUWskchAYmE5YZfo/swxhl/3rWP6jzf53/7+T/cD+OB3X+fwZNSGN1mVgI/0Gefpb834ui6Fb+7/a6wzr/b6Jt0+OVBRhCvlcS0qOljI6FZJBkZZmPud6DNFlApoTkyFPKDDwHKiGntMmDaUB3ohD/22ntUauosIamPBE5yyh/X4pLlmFWLQ0STIQ2lhZAnIgig5RPyHEOH1zirSYFHgv6xAHC7UlA/iouuVxBE7IobYVjj85VqYGtmmqWUzNTZZbi17RMOJAs2EEmB6KAvJvx24NnsFnIOHAFuCL13BHd9jb9UVlOSJuugFqgX0FzkxueTQLYMrxSVCqUllOjYH80Q6k5bCdQrILridL5bXroQx5+tpdjQEm/80I2vwOza8ctQl5VIgjU/hh7o5CaubE8B7qX1UrRuAvQ3XMKzwEJw6WFXRN0clpKSPPGKlWtYiYkZxqg5KhUN1JNaKGuYBR+isJDFBzVpcV0ZnMFi5eKqbB0Ct5Ac9ihwTIKsIrxHEb/GsImKaooJL+2C1j3j45wdAjDgyCoiHblrp19mmq3KdtRaxcpXmYZ6hKEhVUrOYikQe1lDhtGUMpbdUjPQSFHL2i866b7E+3uepS+y3cAChhV6eyckEr3oGkjcpExsP9x6ZbUrOkmpprB3BoAgHLXdbaYGnwCJ4p2419jmCmEvwgBv4f+Qc93u043Fjvch/4ST0BueillRcFl6mzl9XXCC7dsOTcGtuwGpwarg5xuwBFRBskTfOb96lQzAWwBMF+QnjVn1hbmsNNJVWKCYg7bdBkoPe10O7a0SguWdbjWSpsALCDbRhZg1O0lB9MK6C8z7vyApgoUIozzyIVvseyKzQGPTLIyRX/c3c05k8BkUkKMQN4LAXZ3XQiRqcCNPr2aMe9tBlwMXBn0i988iTAB2AyImLMLENeFgETBBLkCM9Cwp2XjDIUF7+ZZgcs5lbD3B2ew2ZxeCbC0lI/L6RSQBPQHYGmELZlX8xWsLXdSXEh1hats1+au8FwJsMAxipRA3GTgenZecC88+lwyU8q7vle8kksZTselyCx6q+eIhOZTi5GJsYZl7Kz07tfDBYMkYwbss+VNtdK7sQhvpfY1pVfqBlN1GizgDITnLQgG/JrrBLFqDN4Q9b3oKBEGNQfdCwO507p4+CnUmk9AjzLhHXAmiJ8jY3NbIQdebceqvWTVQl017EyrqwYgPv8n+vVrVNA5roh08zM9LV0cLlDo1Fm5wqzlY3eVIDJhuWZZ4OKKhXOe8culJCw+UlIxcWKNFRjCuQNy7vifL1V87qxnXYNObd52hEX1LZb2NlgcsSTYo1ca4DjuCx4YgeVKFqvuzI0mAQH4/PzcqxQiAb9mqMX/URfEQ13hbDaO5X0DD2kDIpGL9KaFAAghbzKWcO9lRmWlCztgvR2IR516K12f/+vz/1dy/u+Gwyiuz//PoC3e3wb/Nkp+pvf/UT+8ff6Pw0F9/t9E+0DwNbnbyjYg5Vdbv9y9MW9kTE5L2KjgE7//8P2LDSL2+57V2/pVn1WFSAx8Pz0jH2tPq/P/w/m/ezf/R3X+30j+H96T/+PhftSr0/9zaO5U/MSHN/DpeNjvP5j/0edv5P9wGMe9Ldqv/b8+/9Xrv/nzX9zvduO6/uv5xH/8NzCzz3T+G3TjO+e/qF+f/zbRtv/QGQvZGTMzIyAebXNC8otUaNouaCdTU9NZlEsRkmScybJotugHVxolJvSUfvMXIHpPQ3r2Z3wdLZfVVzyZKdqIGvTFLUYdza+YTgN7bd1gvii1WlGFv081EeQjsZoVtIJFX//r+B2ATN0LaUK26Vtuy4IUosArUVjnLKPt9vtSgJxwnAWbp/GLTsovO7KER7/9Rq0uQX4P4aSUeFXi7w2CIGiQiqaz8pnR4jV4UMxp+xK42/GRmSmNnP8YUeDI+W05HGF1D43CEH4tLP3mw5vjN6/fvnv57ue3p+HZxw1F3zr/1/n/vvPffvegzv/PKv+vx7KN5v9e1O/dyv/9aBjX+X8TTeQFZiszNwT+DwpmZwHkSq5tM9yjO5hJd1qENBqNd+7+HAuV8NK5uixevAleq+HyRURSWX5Ijic3b6ixAIppw0eLCi4jd+7cVFelP0BIJqV0JS+LcobFPfvq+np1y35/NUmA0EklZSmFRVMnZKJVviwj8w/XgRHc62B9gC8EQtGbC+IAv30PttA69IXqfOL2CBXpKBoJM6rKzUZRE6vCqpHYXJEY3tNr+/p9ybLm+rRN2C219mjUIvdzDtdZx49lHSLv+CHeN2B3H8vb4e4+iPsG8N6jgTvkvYe538B+8Hj2Dv3Bg5oJbyl+8GjthJXyBw/LELpRNzUVRfH+46VZcHKmBBxuz1kVOC7mtvwatqMym9+eyXnW2nQn6HymufK9FhawgLetSLDdxJMwGGkbrYfxY4lLE7gEy7IXwL02ycOUN4gCCDIGNs579MGCliWWT+rDh58RBLAR1lXFT6IW2OGG6DRfglqWWP4LtZgRiu9s5on0IlXBvxS9VFh+332cUioNPYleEAnGkC9BL0ssBM7/I/djr9GIHh3RndEoZ0KORjtelGXGxN5mqz5P1O//6/vfL+38f+/9L/6Yo3bX59DWfvX6ZLfAj77/jcJePKjvf+v3v/X6f573v2F0MKzrf59b/H+lkguuJyLjG33/G979/W8/HNT1vxtpP5z89A/qa3sPu0EUtk0mcvLLTyd/f3V84i9ST37+kRaiWLtClaqdsGTG23hP7G9F62BRt7rVrW7/X+0/p8QGWABQAAA="
exercism-python-0011_copy66	"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"
exercism-python-0011_copy67	"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"
exercism-python-0011_copy68	"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"
exercism-python-0011_copy69	"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"
exercism-python-0011_copy7	"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"
exercism-python-0011_copy70	"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"
exercism-python-0011_copy71	"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"
exercism-python-0011_copy72	"H4sIAE5fq2kC/+1be3MbtxHX3/gUKJWpSFU83h1fkjpy48ROq+k08chO0xmNQoF3IInqDjgDOEkcx9+9u8DxoZdTdUa0ax0ysUgcdvHbxT6AwzLoBJ1v37Drv3GWcr31JC307aG/YdjtrT5jfxTGUbxFr7c20EpjmYbpt55ni/dpbkXOj6LhMN7v7g/2w+Ag6sf9qEu26vbVN8vMRWBVnj3hHOjUgx76+CAa9rvwtxfF3e7S53uDwVbUB6Mb9Ie9bgT+H/fC3hYNN+n/03LGok+MSxmoilvzla0/odAuuTZCSXpEG1EQNojrPGVTLu2Z+4wRQpV2ZHgCgw7CMAirQTm3DFXjx7HSzpQeSZZzZPaWyXSsrrlprD/lORMZPjaLx98uPwWJyv3gVEwmIikzO8ehOU9FWT1JmOVTpedrLPwDy6YGOk/dF2zLx3uu66zCDOKKieDaY9YcLcCOuLwUWskchAYmE5YZfo/swxhl/3rWP6jzf53/7+T/cD+OB3X+fwZNSGN1mVgI/0Gefpb834ui6Fb+7/a6wzr/b6Jt0+OVBRhCvlcS0qOljI6FZJBkZZmPud6DNFlApoTkyFPKDDwHKiGntMmDaUB3ohD/22ntUauosIamPBE5yyh/X4pLlmFWLQ0STIQ2lhZAnIgig5RPyHEOH1zirSYFHgv6xAHC7UlA/iouuVxBE7IobYVjj85VqYGtmmqWUzNTZZbi17RMOJAs2EEmB6KAvJvx24NnsFnIOHAFuCL13BHd9jb9UVlOSJuugFqgX0FzkxueTQLYMrxSVCqUllOjYH80Q6k5bCdQrILridL5bXroQx5+tpdjQEm/80I2vwOza8ctQl5VIgjU/hh7o5CaubE8B7qX1UrRuAvQ3XMKzwEJw6WFXRN0clpKSPPGKlWtYiYkZxqg5KhUN1JNaKGuYBR+isJDFBzVpcV0ZnMFi5eKqbB0Ct5Ac9ihwTIKsIrxHEb/GsImKaooJL+2C1j3j45wdAjDgyCoiHblrp19mmq3KdtRaxcpXmYZ6hKEhVUrOYikQe1lDhtGUMpbdUjPQSFHL2i866b7E+3uepS+y3cAChhV6eyckEr3oGkjcpExsP9x6ZbUrOkmpprB3BoAgHLXdbaYGnwCJ4p2419jmCmEvwgBv4f+Qc93u043Fjvch/4ST0BueillRcFl6mzl9XXCC7dsOTcGtuwGpwarg5xuwBFRBskTfOb96lQzAWwBMF+QnjVn1hbmsNNJVWKCYg7bdBkoPe10O7a0SguWdbjWSpsALCDbRhZg1O0lB9MK6C8z7vyApgoUIozzyIVvseyKzQGPTLIyRX/c3c05k8BkUkKMQN4LAXZ3XQiRqcCNPr2aMe9tBlwMXBn0i988iTAB2AyImLMLENeFgETBBLkCM9Cwp2XjDIUF7+ZZgcs5lbD3B2ew2ZxeCbC0lI/L6RSQBPQHYGmELZlX8xWsLXdSXEh1hats1+au8FwJsMAxipRA3GTgenZecC88+lwyU8q7vle8kksZTselyCx6q+eIhOZTi5GJsYZl7Kz07tfDBYMkYwbss+VNtdK7sQhvpfY1pVfqBlN1GizgDITnLQgG/JrrBLFqDN4Q9b3oKBEGNQfdCwO507p4+CnUmk9AjzLhHXAmiJ8jY3NbIQdebceqvWTVQl017EyrqwYgPv8n+vVrVNA5roh08zM9LV0cLlDo1Fm5wqzlY3eVIDJhuWZZ4OKKhXOe8culJCw+UlIxcWKNFRjCuQNy7vifL1V87qxnXYNObd52hEX1LZb2NlgcsSTYo1ca4DjuCx4YgeVKFqvuzI0mAQH4/PzcqxQiAb9mqMX/URfEQ13hbDaO5X0DD2kDIpGL9KaFAAghbzKWcO9lRmWlCztgvR2IR516K12f/+vz/1dy/u+Gwyiuz//PoC3e3wb/Nkp+pvf/UT+8ff6Pw0F9/t9E+0DwNbnbyjYg5Vdbv9y9MW9kTE5L2KjgE7//8P2LDSL2+57V2/pVn1WFSAx8Pz0jH2tPq/P/w/m/ezf/R3X+30j+H96T/+PhftSr0/9zaO5U/MSHN/DpeNjvP5j/0edv5P9wGMe9Ldqv/b8+/9Xrv/nzX9zvduO6/uv5xH/8NzCzz3T+G3TjO+e/qF+f/zbRtv/QGQvZGTMzIyAebXNC8otUaNouaCdTU9NZlEsRkmScybJotugHVxolJvSUfvMXIHpPQ3r2Z3wdLZfVVzyZKdqIGvTFLUYdza+YTgN7bd1gvii1WlGFv081EeQjsZoVtIJFX//r+B2ATN0LaUK26Vtuy4IUosArUVjnLKPt9vtSgJxwnAWbp/GLTsovO7KER7/9Rq0uQX4P4aSUeFXi7w2CIGiQiqaz8pnR4jV4UMxp+xK42/GRmSmNnP8YUeDI+W05HGF1D43CEH4tLP3mw5vjN6/fvnv57ue3p+HZxw1F3zr/1/n/vvPffvegzv/PKv+vx7KN5v9e1O/dyv/9aBjX+X8TTeQFZiszNwT+DwpmZwHkSq5tM9yjO5hJd1qENBqNd+7+HAuV8NK5uixevAleq+HyRURSWX5Ijic3b6ixAIppw0eLCi4jd+7cVFelP0BIJqV0JS+LcobFPfvq+np1y35/NUmA0EklZSmFRVMnZKJVviwj8w/XgRHc62B9gC8EQtGbC+IAv30PttA69IXqfOL2CBXpKBoJM6rKzUZRE6vCqpHYXJEY3tNr+/p9ybLm+rRN2C219mjUIvdzDtdZx49lHSLv+CHeN2B3H8vb4e4+iPsG8N6jgTvkvYe538B+8Hj2Dv3Bg5oJbyl+8GjthJXyBw/LELpRNzUVRfH+46VZcHKmBBxuz1kVOC7mtvwatqMym9+eyXnW2nQn6HymufK9FhawgLetSLDdxJMwGGkbrYfxY4lLE7gEy7IXwL02ycOUN4gCCDIGNs579MGCliWWT+rDh58RBLAR1lXFT6IW2OGG6DRfglqWWP4LtZgRiu9s5on0IlXBvxS9VFh+332cUioNPYleEAnGkC9BL0ssBM7/I/djr9GIHh3RndEoZ0KORjtelGXGxN5mqz5P1O//6/vfL+38f+/9L/6Yo3bX59DWfvX6ZLfAj77/jcJePKjvf+v3v/X6f573v2F0MKzrf59b/H+lkguuJyLjG33/G979/W8/HNT1vxtpP5z89A/qa3sPu0EUtk0mcvLLTyd/f3V84i9ST37+kRaiWLtClaqdsGTG23hP7G9F62BRt7rVrW7/X+0/p8QGWABQAAA="
exercism-python-0011_copy73	"H4sIAE5fq2kC/+1be3MbtxHX3/gUKJWpSFU83h1fkjpy48ROq+k08chO0xmNQoF3IInqDjgDOEkcx9+9u8DxoZdTdUa0ax0ysUgcdvHbxT6AwzLoBJ1v37Drv3GWcr31JC307aG/YdjtrT5jfxTGUbxFr7c20EpjmYbpt55ni/dpbkXOj6LhMN7v7g/2w+Ag6sf9qEu26vbVN8vMRWBVnj3hHOjUgx76+CAa9rvwtxfF3e7S53uDwVbUB6Mb9Ie9bgT+H/fC3hYNN+n/03LGok+MSxmoilvzla0/odAuuTZCSXpEG1EQNojrPGVTLu2Z+4wRQpV2ZHgCgw7CMAirQTm3DFXjx7HSzpQeSZZzZPaWyXSsrrlprD/lORMZPjaLx98uPwWJyv3gVEwmIikzO8ehOU9FWT1JmOVTpedrLPwDy6YGOk/dF2zLx3uu66zCDOKKieDaY9YcLcCOuLwUWskchAYmE5YZfo/swxhl/3rWP6jzf53/7+T/cD+OB3X+fwZNSGN1mVgI/0Gefpb834ui6Fb+7/a6wzr/b6Jt0+OVBRhCvlcS0qOljI6FZJBkZZmPud6DNFlApoTkyFPKDDwHKiGntMmDaUB3ohD/22ntUauosIamPBE5yyh/X4pLlmFWLQ0STIQ2lhZAnIgig5RPyHEOH1zirSYFHgv6xAHC7UlA/iouuVxBE7IobYVjj85VqYGtmmqWUzNTZZbi17RMOJAs2EEmB6KAvJvx24NnsFnIOHAFuCL13BHd9jb9UVlOSJuugFqgX0FzkxueTQLYMrxSVCqUllOjYH80Q6k5bCdQrILridL5bXroQx5+tpdjQEm/80I2vwOza8ctQl5VIgjU/hh7o5CaubE8B7qX1UrRuAvQ3XMKzwEJw6WFXRN0clpKSPPGKlWtYiYkZxqg5KhUN1JNaKGuYBR+isJDFBzVpcV0ZnMFi5eKqbB0Ct5Ac9ihwTIKsIrxHEb/GsImKaooJL+2C1j3j45wdAjDgyCoiHblrp19mmq3KdtRaxcpXmYZ6hKEhVUrOYikQe1lDhtGUMpbdUjPQSFHL2i866b7E+3uepS+y3cAChhV6eyckEr3oGkjcpExsP9x6ZbUrOkmpprB3BoAgHLXdbaYGnwCJ4p2419jmCmEvwgBv4f+Qc93u043Fjvch/4ST0BueillRcFl6mzl9XXCC7dsOTcGtuwGpwarg5xuwBFRBskTfOb96lQzAWwBMF+QnjVn1hbmsNNJVWKCYg7bdBkoPe10O7a0SguWdbjWSpsALCDbRhZg1O0lB9MK6C8z7vyApgoUIozzyIVvseyKzQGPTLIyRX/c3c05k8BkUkKMQN4LAXZ3XQiRqcCNPr2aMe9tBlwMXBn0i988iTAB2AyImLMLENeFgETBBLkCM9Cwp2XjDIUF7+ZZgcs5lbD3B2ew2ZxeCbC0lI/L6RSQBPQHYGmELZlX8xWsLXdSXEh1hats1+au8FwJsMAxipRA3GTgenZecC88+lwyU8q7vle8kksZTselyCx6q+eIhOZTi5GJsYZl7Kz07tfDBYMkYwbss+VNtdK7sQhvpfY1pVfqBlN1GizgDITnLQgG/JrrBLFqDN4Q9b3oKBEGNQfdCwO507p4+CnUmk9AjzLhHXAmiJ8jY3NbIQdebceqvWTVQl017EyrqwYgPv8n+vVrVNA5roh08zM9LV0cLlDo1Fm5wqzlY3eVIDJhuWZZ4OKKhXOe8culJCw+UlIxcWKNFRjCuQNy7vifL1V87qxnXYNObd52hEX1LZb2NlgcsSTYo1ca4DjuCx4YgeVKFqvuzI0mAQH4/PzcqxQiAb9mqMX/URfEQ13hbDaO5X0DD2kDIpGL9KaFAAghbzKWcO9lRmWlCztgvR2IR516K12f/+vz/1dy/u+Gwyiuz//PoC3e3wb/Nkp+pvf/UT+8ff6Pw0F9/t9E+0DwNbnbyjYg5Vdbv9y9MW9kTE5L2KjgE7//8P2LDSL2+57V2/pVn1WFSAx8Pz0jH2tPq/P/w/m/ezf/R3X+30j+H96T/+PhftSr0/9zaO5U/MSHN/DpeNjvP5j/0edv5P9wGMe9Ldqv/b8+/9Xrv/nzX9zvduO6/uv5xH/8NzCzz3T+G3TjO+e/qF+f/zbRtv/QGQvZGTMzIyAebXNC8otUaNouaCdTU9NZlEsRkmScybJotugHVxolJvSUfvMXIHpPQ3r2Z3wdLZfVVzyZKdqIGvTFLUYdza+YTgN7bd1gvii1WlGFv081EeQjsZoVtIJFX//r+B2ATN0LaUK26Vtuy4IUosArUVjnLKPt9vtSgJxwnAWbp/GLTsovO7KER7/9Rq0uQX4P4aSUeFXi7w2CIGiQiqaz8pnR4jV4UMxp+xK42/GRmSmNnP8YUeDI+W05HGF1D43CEH4tLP3mw5vjN6/fvnv57ue3p+HZxw1F3zr/1/n/vvPffvegzv/PKv+vx7KN5v9e1O/dyv/9aBjX+X8TTeQFZiszNwT+DwpmZwHkSq5tM9yjO5hJd1qENBqNd+7+HAuV8NK5uixevAleq+HyRURSWX5Ijic3b6ixAIppw0eLCi4jd+7cVFelP0BIJqV0JS+LcobFPfvq+np1y35/NUmA0EklZSmFRVMnZKJVviwj8w/XgRHc62B9gC8EQtGbC+IAv30PttA69IXqfOL2CBXpKBoJM6rKzUZRE6vCqpHYXJEY3tNr+/p9ybLm+rRN2C219mjUIvdzDtdZx49lHSLv+CHeN2B3H8vb4e4+iPsG8N6jgTvkvYe538B+8Hj2Dv3Bg5oJbyl+8GjthJXyBw/LELpRNzUVRfH+46VZcHKmBBxuz1kVOC7mtvwatqMym9+eyXnW2nQn6HymufK9FhawgLetSLDdxJMwGGkbrYfxY4lLE7gEy7IXwL02ycOUN4gCCDIGNs579MGCliWWT+rDh58RBLAR1lXFT6IW2OGG6DRfglqWWP4LtZgRiu9s5on0IlXBvxS9VFh+332cUioNPYleEAnGkC9BL0ssBM7/I/djr9GIHh3RndEoZ0KORjtelGXGxN5mqz5P1O//6/vfL+38f+/9L/6Yo3bX59DWfvX6ZLfAj77/jcJePKjvf+v3v/X6f573v2F0MKzrf59b/H+lkguuJyLjG33/G979/W8/HNT1vxtpP5z89A/qa3sPu0EUtk0mcvLLTyd/f3V84i9ST37+kRaiWLtClaqdsGTG23hP7G9F62BRt7rVrW7/X+0/p8QGWABQAAA="
exercism-python-0011_copy74	"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"
exercism-python-0011_copy75	"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"
exercism-python-0011_copy8	"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"

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