fe48d830eaab3b6ac9db374e04ddc2bc0c019dd563ee51c5cb1e5194ba6a1530  LICENSE.md
51ef9fa732373c44350a0f4f818f0c983c08ebf55267d7fc3f2822b04983092d  check.py
5f4dfa31ec72ec398dbfd3349ae84e8b7ab8dcc6cb353e4a18ece95ab27e93c9  data/endpoints.xyz.gz
e6480122405411ae71014c7e3f9f68433996300a0d761e92644d79441bae50e6  data/paths.xyz.gz
6ed8bff6b065c74c2e70e2577901cfbc9fc6fe06ca2977c361aaed6ba04c95b1  data/reactions.csv
3e6e8c385a0f3a90af131d09c4500a7226be9bc6cf5272b1d1dbbc560ab34388  data/timings.csv
683c7b98734558e9d78fb27a7a00eeaf35ac195ded95a679fc5704076e0db524  expected_numbers.json
66fbacbd9cf0234b344296c3b448e8ec5f1fe579ffb05921a1c9319f4558de3d  finding.json
285947409fe5296957c33cdb056ecc15e45c75e62a0622bfd5126077387afc49  index.html
32834e731cd83bb50c8dbf71584d8688c1683fa906915fb310e8cf7f69b92ae9  report/speedup.png
7a9c1f6d22aec8baffada4de65c92ad0a8a54700aba4e92bced2b94d606d45ee  reproduce/README.md
b67c84e168edde20fe9cba72a332728c05419125c0992e67fcdf70d7e9da0c0c  reproduce/build_tables.py
40de3ec1cb23aa3831eb8cec505cc3f18b8e872ae7d06ac9710321bbb2c9dc17  reproduce/figures.py
efc4d67215fee8a7624380d21fce57a76561d39a39f364196991423687e39b4e  reproduce/original_run/select_set30.py
14da670bd673758d1d85bc640e2de4331661173e5f04bdfe03040d333742f2f2  reproduce/quick_check.py
a88c0b2913fe46c8ea366f0679bb3628bcd419b34d37d77a3ba8edc582935500  reproduce/time_geodesic.py
