clarans/_clarans.py,sha256=GaJC9RELr1QFICtBgVVYjf0MOK5yspt9om-94mQ4qBk,54048
clarans/_core.cpython-313-darwin.so,sha256=0yMTCb1PTszrGx_yc98hdJzoNPiqU7DKUolRAQSyh4M,301920
clarans/_core.pyi,sha256=wRmSd8f9D6bzTIBZzFADwqBgb7cDCs9e6R9TrT6ogaY,1276
clarans/_fast_clarans.py,sha256=Th4NDjyYpwTxpWxtwuVGOgJjbZEBt2XjLKceAtVuqRc,14902
clarans/__init__.py,sha256=m-S66pdIQVQjqdNBlWHEycMv7akpSeVsCJuVs1t4drs,306
clarans/utils.py,sha256=poG1HCsZzneuYU8OzuGaWJzf9D06pBjUY2AMcfoBXhQ,6630
clarans/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
clarans/_core.pyx,sha256=DbEU-MdQ0sNJ88Ik_rbBr5obrrVqMFR2DhtQ95g55CM,9177
clarans/_initialization.py,sha256=H8r-c1-50vnF8NUmCTCwKQXy2xmGqg8v4-jvs7Ps1XE,12544
clarans/tests/test_clarans.py,sha256=Hq0RK7o8K_n3gXhrIKFwqoi-6YIdUXt7DuLubal4hQo,36310
clarans/tests/test_common.py,sha256=pMgb48UMDCOlA-EnqTiRFsic3DLTa1s_FA4_CXWucNI,252
clarans/tests/test_fast_clarans.py,sha256=YCgpzuxpaT4p-EVmPw6ePyDtPJ1f6HEnlFAMc_OQ6PE,17710
clarans/tests/test_robustness.py,sha256=7UrAmBEb39yfKea9XxuLMM75CQ8LQVtbRKDAwdViCBY,48651
clarans/tests/test_core.py,sha256=KAD3ZOiRFMKdESVKNShpEaUjRTNS2JaR9B0STkNwOGc,13139
clarans/tests/test_initialization.py,sha256=MYzwQiExC5KaGCyRm-u_WkjZpFdv6482FynTMGMF-jE,8047
clarans/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
clarans/tests/test_ecosystem.py,sha256=qCKmtDT2SWNqWgiuMynb7FdErRfMomqizIOx5S_ibxw,12395
clarans/tests/test_regressions.py,sha256=Ylp0tdV_yshhsGNjcD8YlLP439Ga0ZD4rfCPs06soUc,39753
scikit_clarans-0.3.2.dist-info/RECORD,,
scikit_clarans-0.3.2.dist-info/WHEEL,sha256=fWuGjPgTEXCJxQKw4uPBVSDGWR9iVmYJDvwyCZWZ2Lw,95
scikit_clarans-0.3.2.dist-info/METADATA,sha256=fiELjlih5xBSIzFEi0h2cQpEQJ0JxFn_ziI1N9YmKp8,9072
