scikit_clarans-0.3.3.dist-info/METADATA,sha256=k-zGHpgjfN0DlI2pLmDUHzYctV1mEmo9xh1SyTw4YpY,9072
scikit_clarans-0.3.3.dist-info/WHEEL,sha256=suq8ARrxbiI7iLH3BgK-82uzxQ-4Hm-m8w01oCokrtA,85
clarans/_core.cp313-win_amd64.pyd,sha256=MLsfEKwYjHMBmWWA3RolhNCdecfqQtoCQ10xRAo4L_Q,258560
clarans/_core.cp313-win_amd64.lib,sha256=x6LKQ06qUu8RkSHvSyqwaeKGc6BJhnzZzc9wtW74UPE,1976
clarans/__init__.py,sha256=xg8O55h8qsw8SquB-efCj58bWoJhWAFNYSFftCQ3hCM,319
clarans/_clarans.py,sha256=OQOd3BkHbQIfu8lDps7rx0deg9zL_pRWuCGHgCAC0MY,55639
clarans/_fast_clarans.py,sha256=oOtoL-nOUsgzmGOPopedrGvC7G8IvuE1wgsxwwoz614,15259
clarans/_initialization.py,sha256=lOvndgEDkXt3DhVAEj0ENoFFX533w5jIJM9q1sRt8cg,13382
clarans/utils.py,sha256=-xm-n4k7DzfroQ8PcRreblx8yeMjpbZkfXQARZhk9jU,6825
clarans/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
clarans/_core.pyi,sha256=w3LxXImqqNKBENMLZS-Tna0vWXAUvbsNf8s6LJKrgAA,1331
clarans/_core.pyx,sha256=21F1mU38UGxfpdzLYrFz0cRHbHDO8NPEukUkbPPoKZ0,9453
clarans/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
clarans/tests/test_clarans.py,sha256=fWQhT7R2DwcQr7jVCkPxR0lwYutZgrXmy8uldbykg-s,41921
clarans/tests/test_common.py,sha256=Z_J_4iqlFto1FNi2MJKm6gBZJjfLx667Iz4MxjReRHM,260
clarans/tests/test_core.py,sha256=2-Gvwb4A1fzH7TAU0BwRsOLukzujU62OfYMkVz1rHeY,13435
clarans/tests/test_ecosystem.py,sha256=Lbt1EpPwDgniY29mkjS7TDXGCVhePVXlvhTOVdvS264,12685
clarans/tests/test_fast_clarans.py,sha256=2BJ8fcbNuPsUAXQvF-c5ubrHDS93Au6kvb3sSD-IomI,19107
clarans/tests/test_initialization.py,sha256=YV9mBDrsGdf4fOx0lRKPW6Hkx9Rx0wxETJM4wO3rB5U,8233
clarans/tests/test_regressions.py,sha256=pQwu0rfhkJm75bupyz7KpatCFgcu617bRXtESa33KQ8,40785
clarans/tests/test_robustness.py,sha256=CJVh9-EUn8EpVYaSac9PppS_hwAdR-j-Maq4lBisaf0,49756
scikit_clarans-0.3.3.dist-info/RECORD,,
