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Encrypt problem inputs
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iamFIREcracker committed Jan 10, 2024
1 parent dfd22ba commit 2fee699
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2 changes: 2 additions & 0 deletions .github/workflows/ci.yml
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Expand Up @@ -64,6 +64,8 @@ jobs:
experimental: false
env:
LISP: ${{ matrix.lisp }}
PRIMARY_KEY: ${{ secrets.PRIMARY_KEY }}
KEY_DERIVATION_SALT: ${{ secrets.KEY_DERIVATION_SALT }}
defaults:
run:
shell: lispsh {0}
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5 changes: 5 additions & 0 deletions aoc.asd
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@@ -1,3 +1,7 @@
(pushnew (merge-pathnames (parse-namestring "vendor/cl-classified/")
*default-pathname-defaults*)
asdf:*central-registry*)

(defclass auto-module (module)
((file-cache :initform (make-hash-table))))

Expand All @@ -22,6 +26,7 @@
:serial t
:depends-on (

#:classified
#:1am
#:cl-ppcre
#:md5
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1 change: 1 addition & 0 deletions src/2015/day01.enc
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(:C "O3X/xiijzX4/mzNb5hKPY+u1ehK+Ui9tnASHYpAWGAkKrLSHxX7fx79hsqZx8Agw8ykc4JhssivKVD4JCoqXG4TvBHuA/iUuJf90LwYhn8e9UFkcEXuuYVQZ7jwio5/Zf+rsOM48N2DAfL9BxVxnNCX4hWm4n7PUSF8s+aJI8CsuakalrNKwvD3f0y9uFqEQmOY3gAK7x+DtmcxBCoIKQlAhJOrtP+fborgQygaUptdnXiO2//7eQ9g3CSw7jx4RlYNFNafcCVuFfvExOuD/2x+w3F/xld5SEhVbHsDit6Y/q07BJrXZDUgui5G7nfW4Hu7FHQqcFnBvEpydVk6gLEvCpzwfbs+KpS6YzyuiBJHKJrCHylVu+mHKKghlBcMTMgPj16zCWZ/ELwaZGl5jmYTS4Ps7efhNwZ4r9H0VKlDmwFHVb0F/F+lDPtVlGpmMgF+17QTgMarVOfo3xeHtBHpkc3AG5yXapwdT3frU5g/M0cLz4e0/tUEylA+JKBKAiEWCIpdUd8XjnQA5raQhk82dkIO+0Z4MgAMFMGLJmOECFrv8rkAIIZvsf0ur8KjOwhCTBVLGe2+vJ75ns41fW/+DE+ehTmHekapuD+NKZXWqtvTb6tnyM9Goun8XzS4IgqDcCaZDXXCQXImGNP2sR91yOIBaJMngxEBhVtrLYWOdhNIWFiRsq9pyOHEgnIlN0hlGZM/yez96uSvhtQx/+EDrdyAzM2v6fkeaEVLuVLoy+42iUmA+p1OCoaVphCj2lejFqbGxRX5CZk0EkBeXP7ypLi+R/lkAG3hP6QONOF+bwlU/H1h2FlXj27QPQ3JovyhYUoEX6QAmzFxqR8MHgdycc4gHSSnXQY7kLEbco5WAZXruXTnWoS+kE+V6zagR8b7ds02rBZIM1kVdRWY2KD7nefVLONkYGAxKg6rx9lz9bWmIqNCdKrZz5oXjBl1/g0txDTXSGtvGfOLJbabQ5heRXCnqqt1flURCrPVyPy2BvbQqT2tlhYYsLywDwgAsL5zODzSYQwFFYxDuKci89H7i/OEuV3f/aK0lXk4I8A4qsRbwfd1X7CSY01e6+uE42crboQl1xQwdCHuzKECRHcwnMoFOrNZe0zIZZp8xx5/trDe5zszh70G7gG0I5YM0JiEjNLVLGm5p99DVEjayRhQ+5XNSGsboRwFvY0KhOfP9+LhjbiaU900XwlEnpqanOUCmVtropkyWAdhtQfE/2CaVaEZhyuA6LgIkTfWtTgNErZb5Kh/mp+feTOUMM7ckr02GeEd35pXzY1XN7c3mi4A0Q1YMWbkhlJ7SVisBTrUvWI3Hr6RR3n8MIkSJsRCjz7P5etYQAsMmbbV6Ees0X+JSw/n6CKj93/qbZxoUHJBSyM6jhCJn0yYM4s0QWI+VgIYLnt+QjrppUkfZ+5whpeYMf6EpEE9mFMNH78ZBddif7C1E2KZc0t9cp0V6nMd88X72kTZIjeIDJZbxkOI9FOi2d8/ILjjFdnuXHe7bI1tqmMNlFA0PeBcD+EEYhAWvNTSlkTgCoPMGSCggXwRLRfzoO0OwZw9AP618YcRU+3D+i+1/zoRqSi0LvptIZebwaDkZmIaw+lgA81axKj3x7Fi+9AwJ3hLkbYO+mz8USv9sBGNds8ZFncJAp05+dEZ2FC7DestsooHA0pGPeeauc8wl2Cqv5MT0PMpqCbyQtnCu1kg7hxpc9DTOvzLzWn5ipeC7VOYH7hN/4Ww+PXHyU35wjTaLwhTVSszP0mGTAveFb3TxYVeIlQ7duEF4xtuVia9TdvAnrOBuMyT0uNFl3NADVwFPPZWY0QeqmyCJxf3cWXXXArD6wuPfxxDIo5ft1Nedroko269Y2NtVkCP0fuYuNjdYJoDMi8FHA0RLWDcMM3fDDf8dV34cLqgaMnTAgaW44aDLReJuhpPhGcuu0bQDcyFggfEuF3ZP2BnUXQDBvN7yrgJZZdtHXQY/FPLuVjCGQ5FJcB7DzWDzxoOoUtUgIjQ824uDZRCDse1O0rchky/QU8bU2nChUzDMWbSgM4WDITOqdVXVNKOBFuJGaa3vrrIVdkzC62FvreePnunBX7kEComOwxGq5NcbuQrkYUTRkLpynhPs8u0vKMn6nA6gojILU2/70pqubZe621gG6DrTTTz5IUVQl9K//4fAphgAHbD4vr46rMHkeNk9XYyztu+/3N0PGGGL1LnFq504fKwGMvXEnetMp6J7/CuH9ZRnOV0tPjhiItJlEvXnxseOte7jYwc84HTHwR9f3rEZvyMp8U/JfOWbh3btkzBoPND91nDJcu8Pkc7RQE+baDJqJLWar/bSv6/97FNXCB1OxgWihJLg/7EREBuXnAedYe2Yc8GlIUoG+PL0V3qKx+7nmxWVoOvGsdK6xL2anMkLFaoez1KA4A/R6IIfNSN68m0H27/eNeavNlyc2Rwx1OLOMfye0w61Dw3PnP7hCADQEOpzQepDKj2krThRc/iT66RSaCdgnTxsEQC9Qsj6g8M3656VnugDMpMYlmaIqMfmk7wqU35FDlDHsVzbolD/H7FwcJaEFjNhQvwtgV+K4KOvkkz3g6G1GIfcV/DIx4bD+1A2DJCGBaTgDI9ghqNP9Mu+pTuUXWEWr6y1b3alPuAS1g4zT4qmaRxLLxOkFKpMAHXFB0uuDaewG633jNsuZG+eRQidhMMiLQmvijNvgHK+vJZkVgmTZpVUv8BBdCDIwIG+uTJ+xlhIOaOZXQVPqGpVzdTdV9AjOdhiJyYCK+heAMTIOZLlDCleCFRAUZy8DGL/4OLwoMmyeKgK107ZIUrD9qOFUN0q9XRWN/LKeunfSdxAJFM6zwEJ+v+Pnzv0F/o2W/8+199MZ/xDxRQcwU+Peab3eAYv9aIP5fnKT0WyTtM+ZNA0BkUJwF+1Cfry5XmuUaAvewO/c5Ia2Ao8eDYN6n5d/sWeSV3TaPem0/xR0T0MKkEuHvzl1D8xRcyo8Wb8mctnarXRtJuRD8tK5NlhfiOq0xd5ih8EeTz3ariSo1oGff/s3nuIHe6dZ2qiXpFUT68EVDg6B4w7tT+ymVOux+Gd98rrJU2YkvhjF2q3O+6Zyc+ktNPxiX2jjSssfwjUFI9tF6PX4u6ese4vo6TRXFvZac3qdQaivUBQSEj2qFbpIORyBVveizczX0DAB5f5+jshSoHv5cmYIW2OHMU6u7h3Ol2dtEIZfwyvvjrrFYdZPm49AnfOzhy11jxiG7PvNbp+EE4BJ5/EhnkkxmLlZtPhj6UVskEBMbTra3KFgu9E/ELBaR5wJANnOZxFAUygbVKYaLVCGFMrin7rhPhPqioQKJGKpky7vsfQTl3bxcgpDRU2NJHA1B00eJE0XZMDMhPLuBBtD2NvtmGMcl5krz4PGX6AbO3X2Gwtf/yUpfR+JdMFYWCeP70WjAO6GjEA1rILwtnPnY2Eb4oOflCIgonj91UYtAaU6fGNGc3SQbsqLvhIFukszuO1Rn/wFR6kJPiJZ+Wha2Na25xrC767ek8Xjzjlcn+KXifab7pfDgdCbpx/u68nf/Ig39tr/gFzARNCy1UNJ7G1WeViSjz6REHsXdedzZxNp51fmHJ3eYJgy5ik1q3J41a8KKQUiqsHpzrB4hzGORXxMK2kJT/uIqG5GQiol2oF0sNW/5L21byfzduPhPgm9KmAGZjnWmla6/7s4bjPj4DoRTiJZwvj7puqmfv/xTd0pM8xaZjHxAT81jp5aKo/A9G3bL19yhrbi4iYbQ7APyr9Am4qOnn00d20Rxjc9IXSA1nLu1oiT4TUS3ebnOeAJG7t7dsuAc6ISgt+TGxaZgXl6L18BlZgx6FNa/FUvWCm1szHhfmSN2kxf1MWvJlGzjIDSqF86zmUmfw2pbyXy5EtWgqKA7UY/BI2lJ/ZgnDvcCfZJVBmplTaexlKzPaljUUA7A0YuAQA9LZqim+11etGJ8cUwC3B0OdRPfHCPz7KxtKe4UgstK4GmLyQPPAU7YYbWV2SnIXRg8FcznU9wjwDZvAegDUuJo3DHjDZlQlpn08VtmRNJ0nW7C6UWkYu+GE7dzn6nVemAgS4cStZlD8rOP46VE5pPhUHL8KDOi5EX/quZGXtd2jzx2a4UAczfE+B1PCFvJti3TwUXcGGG/zSEdnFR3F2C5sMLglS7IKThobMBCxEs+8t8jmOxIub4zFHJwrKc+ePp/yBAnq5wEPXdHQatQBCG+3IIct9m6gNjpB6sZ3Piow5/ilY07TU5G76lALt1lF+SffimufDbtVccxqmNsvluRDkLcmDnQmlJ3hGu8+CzUCDiDkKbkna4wwHK0nB/EsItRu/PCGUG/LPOAxIL4XaQO5HFhxGk+lLRyTwbq88aGC1c+CSRjtaRiDkSZifcVmPYCuiRicZCLzbOfgU9I2hsCfSuGcwkT171yZtfw18SFQcl75l/VWvdbW8+UWrvLhOFh2dxQd0jdRt4GfOD6z2kENuph2eAEdr3xVmi8x3wXpZ7ODDOwpFbBF+i9Z/JeBBROt5lCt1ZE6mL/dH1xrUOIsvZpbA5CgxodTiWAlGDS7Xt1FxfA1D1zEaO89GY5ki7oECPCfF287J8sGvo/8Lv1t/fQyklcL1dTXR31vcxAKGAuvQDBlTCzqNPlCdWdM4SE3ImxdGeDWNNf/rI+niq6XltdoEk+58hOfAUfOjBSmMhiNZBAoVIdu7pRRPy4uk5+a0lGhX1fNKvmsPjSfP0Ki2U5+k/QjeN4FBrGzEYVOcy8t7O1iU0I8XbmYBWFHPg5FxjrskBTsHXPiPO/ARGKHcktWyq62ujprbkl1JVL+gGIV8xlGOU5yc8JHbTKimY7Vg3KatE3Voe5INZhPZ8RIkNt/KupK1XmqqNLJCFRRK8fjN2g4t2PdQVplEMAOEd1uVK775/1ZO+MLjf3eQbeOhG+QNYrK4zdfL4Fgm9CkcmBSK+KM/9yl/FLGU6qFUFSCZdYcd4KLMnMQOd56PfZn0gnWc9iyzYvIcpfSmBqFKiyiYiUxQ4nNnBfH3u9UK/LWPJ1xR9abP72EwoU/v+KfpmjcAfu3H2qkxsDYlCeT+7y3TxjiP1g4a9q1rznUwMSABgN7XmKmD6oHEA2uAuj5/Ph5Tc4jqM4BPpcZXk1xLogE+j8FXW3arnrigMy9yeZYEhil8/yPMkLzNL57LftGU3l+a25/44gNakzJDhWkrJeO+E9xzKbENOItHXtIbkErXefHcwlSToEJGes004LqHO+uNOKP2D8tWzRDDYlbDMPAIHpjooC1rFqQeNcHTGPT6yli8nmq1NrWHSM+QEoqVsVJ7fNXCA+MkUgRoEnLe6KWJqr2zYlVwpKP0gY4A0aa3Saf4/ZPyOhJ9CfI+x3Je68Jr4fEQAM7RdEa/fTKpm1af4lEDa/useSv/UlmNAzesdHcRzVx+PWjQZHEHEWx8EYMcVOjJb03N02/gj9rnvm4QFHWy8I41IHqMuS9u2g3Ip6RIo3P+SE33pvxsmUr++C5E0VV3vntjBBfojLVearCqYZUTqWLvwaL2IbArzeSES1NMtsdOk6UpyMQPWBMS1LuwP5V/gX0ndCkvtedVjIgWFKMfIKSUThcasFjYFPLgjdCMXiZ21r2ZPlgzjkQpVOqGN8/WiFs5unsy/TRCxNEo72j2BSKRKkCUtKkSFooBnk11Oue+fTyKf/hVZEZcsZ8Vm17wtJd9Yot5iX1YnLadIN41ctQAw3R4/Q5L3gGlOTBfCD8ka68TW5SOfLr0Dv4VlVFMhB0HqX7hy6MmGmH6BAlyRON43/huTtxJnGlJeB5qmXq5OW9Ts2Bb6MNLALvg+TB3oipekOZx+cuu/xEYpCmshsaZDgrtbSKyU5Jn5tOE+pURCEIOHybDUcZLyBYGrvfiqdmviiY6BgCf0FF+Fmwrm8RjaWJUa3gjI6u/11pMsr0ltBip5yuUbG2oglbHFBJZ9S77uuODiNix/BmRZwl0rVAxcTshT1ohDQX8QGXJM+l+FDom+fAPKeVgM3s2k80N9XiERHah81vyjM6d5UaPj/m71o+p3HLBTkMO0LQ143Zstl2NvwQFaetdymHYz1+R6n0d1f+2rqAbmweXwZAKntN+FdlxtH79D4ghsh/FlxFuXelSTyMH85S83EWu63k9VJrrMmhZfrn8H4AlaPUI8k7i1MOdJ/jEU/sLm15MPiphER/RVkHq90XH1eLj+VUtSalZuV/GaGvyO5wENn+jXSTn++DgrQAXyHcrvdA9XGCwturR/T7d1gMGOyMIzfqpXVIZvvnOnxl3w0XHAz+GVAgCOVG2YiMPI86C7R17BzhKBARyzpSfc5c0eUPHIT5Nhp9M7/b1pbGTGhG+gXwm/gCInuyOjsN+Tin01N15qgNjOt2GF22t9K7JvUz8QYuFXOKg2kgzTXlA/t0As/jPre8XDU9J1MN/YM/cBLy5RxxOhbXE7XKHnj78E84SF1fgl7DrzKi18PxaKWIwHmOBHcOs4Fh1W+CiO2azOP9xRKH4tRHOVhe0N86l6d1A7nTCO5RLuI+wE+eZvZTs09HazMhl18fcvRNAT2EmMv7FN2AUqD1TvBYl+hHjXWKfDe3zOqr70CSI0lF7tHSTBgWTMfyKrNbNefzlRDbH/+1jNAN4oZ8AyQStso2H2Hql27veu7W6SuNCt2TD0imxqmEXQ8u2gnfn3GJOzmJxZex2UcTqsQ3sEXGdq52gD/tg/AkdLjPCM2TBOUfuvgdYdUbx9HlyaItqP4bcd1WffeZdcPRWTal/vNDdUlyLgUfrdGWdSTjpNMDleZuv6QsjiBC01SZNH215LyUfgxhYjK+AFmthOSL6jixNOLS7mJromTncS1lPOq4XGfArP3kPYPKbR/7MYcXhRoDl2GvkaKBVv+yfjx/b3WTLBIHsmGa8oNIwK+YyVlxT1FfWcRWXdT2/kns8o2kMvvMzgXyEf5lyW/6tn9oY3wvr/Ar/e88Ca7yTf5xtSoPCeMpJpBQAOAfUO+BmUaJDu5pSZUpbl+Fse3P3L20EO2t8TRLPPXyk8nBXBYwHV+nsjzlKlspWP8N03pcBjSOkF4mXXYXmtNPxnimhLhK+m0tEA8ET+ymy/hS8IMqUieIs8DySt7+qvy06Ge4QVT8qpKZ+lu87qdMQMjDTuVv21xiV8KgHMwFf+qvQeFdcKtyCcTdGcU/xYliXuLmyjYYQpzSnUQGT2oXjMawPrK/vOniv3I+5stTNRTmkqAblhfT1OScyKxpPig49YmMiz52+ES42JDHapapmlKXdCy0PAx7GTk3vgnl0+3SKlDIB5ySnsZbSob/Uzysxeropr4dS8LiGIik7lqts8LZE155+Fw79AjfII5l3sTY+UjqA1L+J71NpygqOYS9wCdcBjRh+JXIT4HROWKTHA8XjurH5vFpC/HeIVTUrVNo3C/vZxFBDWLFaqVrXI9bIg5g3PpfsP1WF24Lu+mb7cv0Vo5HeLJd7OsrsblGVZqdu9+DnXSSj76Tnf/s7BwjyULJYd5PEsX2qzUdKF41Tow0Clmpiu5Ry9f30Za1d874BPCQ5KB3YfNUBRxc0WnNWVnIAtf2CPiI0b2o2BxFulJZcAlM2oB/Jt6u1fMGUZrZbLwmmUo8vPVbAzcnTz54uQ/Igu25MmGIzxFl53qe6XI9SN5aoB/XQ6P3Voug0cNj5j7MqbbIU1TPYwAkD2wdDPjSp3fgXxClcqrxslX0QalSCI/UGpBDf7B+TXWhwGHwxZ4xoHvg7a2htUlH348pkcH1d16cljPoBqwnNcfyUMDunpgO5HHXvD0g6wmRL0QIuYwrwVi2gbbH6LWSdKfvd76E/1rLqVL0dqSq4JOCSxO0uw1+luQQcfRbtp8F59U+nUJAySvw6IrWcaMIiUvHtPCICUCNlsqzQPcMIW6mhwt1n+WOaQ44Rn6OWiVMlO0DfLmDztOajQ4wJB9EqITQf9UrbP1gixD/Xoi/HsU6gQKTeQWvy8NGopZ6vLmrwGsnOTYEcV3+XDXY6DzhU2fvxEJqCYvm+hORACJ1O2uysHyrJHeZTYHms42M0idksYYVPQ5GO/z7qcUotyL3CoOTma/abEWbSlBw574yXusjzStidnpaMEuogJkDBwIpZEeNkuLb8BvIUiO0oET3EUkuicCl+v3nkol/j+JXzoqAI9HSP6Bbe25T9LrjgKzmd9YJTLYGz5EGlOlTl6dB7hb+S4Mk1YcrhgUdPCEPxtsVmYB+iGTCwFlKEEXNlNB+VzQomLLJwSU60avhizfdJrDZAUuFDtiIe5g73p8urz87iikMfRoPnddGRFBi29PntRuSw6lRQpkfU+gDblZv5SMCiRMQi4OPHR+m/hHuZfctWI57OVevYiL1z7SrzH069zz2dOjG2WP11YuXgg9N8WYf3HVVe892sYGU8ynB5NSo5RSU5ZV78Bd/UMLf6o9tnnWfz+c+MjOSthh6TKNXYwXoRzMFIv8ShEwJVOY97pGCmtC1jm3YFpa+LeIVOvlBk74MwtVFO7gL01vFb7Daa2+qHC+cy8KGO2+PMlkPOomsYXr6wCyHUVjCqCYbCXYy/4QLf63raRcs3q+r2aHAGXN8vuyT9+tiJag6mE3odvfJdKNUvCb/PjPPzDUvJ4jYoRB+WR/RnEwMGPjoUePnVGc8TOaHAU3Rt9sgskZ/yYwlcF0cAyYGhYUiHnnjp724Y32kHaDNMDqKfKsaxEtDRYR/ea7TrIse8tLsPUlIS8n6aLqaRC9IwXWrFcUYkc1EfDJOex+nN/2qz8sKlEGEOpM2gDnBwvXjnF8yBfvxtfO84VdMWQWfkELPcpPLugFsUDQxyq1TRBdpesT6+vghif0niiEMkpX3V+oMgrFDbos44ntQ/YrYrEhV1MHaXu4VgNruohmBsKMfOtsOdxhbBKUi+jf3dks8drwa7KpEyNbdRJGFF4zY6vF00CyrIocvWPoC9Koto/j6gpKaqkty/8OwGZ/0TSF/jWlNE+n8GxbKcgEWhielCossCaFJ3+VkLngi9YvXiIG9QY4cTLOBNeFFHO8UN/9QL4ZffCfeEoRRhJnJ8VTCXl9xA4wDEV4s5h+NHvoRaCZKh8PbtFf93d3XiAv7ctwvjEeKjaq9kgAC/5Lcl7u9CZPrqxwQ+v3zwpcQkTyA4D9sD++9N6IAonQNhJyp9thb8eCubRcpWycy/z0oxp6ZLmlCepPPXkZbCxPZ3wXYeEX5PJuzwfndxJkgQwmU2EDI28K7i/NjZ60wQue9TP2Ou5JlTXecHm01V3f9nIqp68JGaCRbw1LFHX0ICivt0jd8X06vN/YBOb+4=" :I "YW9kWhPitdESLP9ygCCipl4BYFoEUVS0jkXP1DLYVe4=" :G "y/t9gFzcZgHh8sVYS4qS6A==")
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