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21c7ccb763a3d007c5db3215b43fca75c715116ba7b78f3cfecb04f037de0ca5  evaluate.py
772d3f28a361f8ee331963b25a3f3e9c0270247375c443c1ec872df029010718  inputs/C01.txt
fc5dde9ed387fd6f046f70116a2d8a9bd83f95c7837a5afb5d61de737ebc32d5  inputs/C02.txt
72c1709c04809e5d2cb39a97f51453746cb994fcf44281fde0330b2470b6c8ae  inputs/C03.txt
abd72254ef6facdd8c2252baa01fe318240a8db2ec6054bd042b038ed21204ca  inputs/C04.txt
3cbff4b51ee03b0c37c0fe040a7da6912f1dce135f4548da95f41de72985cb28  inputs/C05.txt
86b686599968d422896eca7163446e795249b2ad6721811c4bd99aa7977e5531  inputs/C06.txt
55cde603e1a11949e41df3c2eb265192ea7f28769ec7c5ffc73ebc47966c533f  plan.json
da45105c104e308d5075a2343b050565bc7087a6d8826a970a2394480ed97370  prices.json
dc20035ccaafc36e9c6489be80b42096f2f8a5ab4ede3a0f3518807ac9f880f4  README.md
c5bc2ebf672bb5da883994643d9290affc05482cd36f32ac55be69f0fd09b0b8  run-record.md
6afc8da3116b3265eba9b6b2a3014f84ded602b28276223fadf2543b120cf810  tasks/P0.txt
d9168268d8a52b6189f1ccc68f87eaf46c0e2354524ddc609198271e0e17770f  tasks/P1.txt
7be932aa8622e070659562b7c60b93fa018477291dcfcf74850a9df060e25212  tasks/revise.txt
