Path |
Digest |
Size |
pyarv/__init__.py |
sha256=N_aKK6rFyOY9l3pua6vPEBsnUrGSskyKPyVNPYfAmsQ
|
129 |
pyarv/_approximation_utils/__init__.py |
sha256=XApmUPOPmVGofzWa0lWLcPX0Gkx1R7Jys5usSypcaE8
|
52 |
pyarv/_approximation_utils/approximating_polynomials.py |
sha256=0mMzjmVGmrKl0nwU-LJxwT0k-MrM_W209hhEh-Gidcg
|
2977 |
pyarv/approximations/__init__.py |
sha256=e7mN8d05yb3JSBF9pxL8ckIxATeSh02EUQ5XGs7Q1U4
|
56 |
pyarv/approximations/polynomial_approximations.py |
sha256=O4Tg6DgsLJIx_7Vz8ELWPT3UrB7L84QQcbfOYMKWA-0
|
4581 |
pyarv/gaussian/__init__.py |
sha256=Dv1zxUalBDCWiLyEHg9ykMOvIFxypjML02-Ls-41m6o
|
68 |
pyarv/gaussian/approximation.py |
sha256=us1aEMrC5r_jS1vuDC7YoHl86L1j3KOFvy2V5BHkwIk
|
901 |
pyarv/gaussian/gaussian_bindings.cpython-312-darwin.so |
sha256=amJ3ZkPMjdP3jtq9Xn5MEYJpGkGTjnnneTAfzN_hiAw
|
52200 |
pyarv/gaussian/polynomial.py |
sha256=UIyNFR7tCE39AHxGrxOjuIrwVOcSAKikGioY645L9vg
|
967 |
pyarv/gaussian/demos/__init__.py |
sha256=rvk7i-tT5ziB4CdR3nksRrWduLgqzb9MksM-7ivAoUI
|
60 |
pyarv/gaussian/demos/accuracy.py |
sha256=wMamZGWtUuFy_iV3IydW4blf1ih-NoENtO9rPlto3Qg
|
793 |
pyarv/gaussian/demos/speed.py |
sha256=RNmfr0sVjF-CTJmSFYaSOVuTZjLDfVMyu-7FPdQ0PMo
|
2002 |
pyarv/gaussian/tests/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
pyarv/gaussian/tests/test_gaussian_bindings.py |
sha256=U6zA9Qq-lx8BP-Vsewc0xnxG5ubnLPURNSysOgjetyw
|
2042 |
pyarv/non_central_chi_squared/__init__.py |
sha256=0QLUY1XwS9kjmk3vycWs01-3ToEf8L_CqPxMED6EWDE
|
50 |
pyarv/non_central_chi_squared/_approximate_non_central_chi_squared.py |
sha256=S9CG0mUH6H6sbfGqfvPBD-KD611FXaTm1EG--HZPvho
|
6803 |
pyarv/non_central_chi_squared/_approximate_non_central_chi_squared_demonstrations.py |
sha256=BXfrez6xA5b10gNvxegl94dH9hsXrv1TBascCBD7cxo
|
1252 |
pyarv/non_central_chi_squared/_table_coefficients.py |
sha256=Z1nkTQVyzigkutMERuJZNmuazQ2Ks1GvYCJ84NI8c_g
|
3269 |
pyarv/non_central_chi_squared/approximate_non_central_chi_squared.py |
sha256=G5QkmVdXG7PloPn-4Bv-E6pgGSIc7JvPvHQAjFaxvXM
|
6096 |
pyarv/non_central_chi_squared/approximate_non_central_chi_squared_demonstrations.py |
sha256=md6BIcS1o1eMWB9FCbJileHxYIQfLhp0qgDgDdw-Rm4
|
1386 |
pyarv/non_central_chi_squared/approximation.py |
sha256=SMa4sWjC69gjtfdcStGL2N7sdIJrlzoPt4RUy1vzDMI
|
3260 |
pyarv/non_central_chi_squared/non_central_chi_squared_bindings.cpython-312-darwin.so |
sha256=0cJQeS_PkcxeSYVv8yvJ-F25M06a6bzSUxO08k4NKVU
|
51752 |
pyarv/non_central_chi_squared/polynomial.py |
sha256=jbhYDRithWN43xpZ4WRkk9tOGPsR3YRB640fhzGFwCQ
|
3199 |
pyarv/non_central_chi_squared/table_coefficients.py |
sha256=NAVcvEUdmyf0tdl5hQSa40JH5m8KKUGD8k9FOuoTG2I
|
3116 |
pyarv/non_central_chi_squared/demos/__init__.py |
sha256=rvk7i-tT5ziB4CdR3nksRrWduLgqzb9MksM-7ivAoUI
|
60 |
pyarv/non_central_chi_squared/demos/accuracy.py |
sha256=gJqGzGmpW_ecLqeUJ8neiMRTu4Objhv5N0C6kscL8vQ
|
1062 |
pyarv/non_central_chi_squared/demos/speed.py |
sha256=QQNIkBuoQ4aav0vCsa1rUGMeMyLnxPYRqyvt7tUSark
|
1885 |
pyarv/non_central_chi_squared/tests/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
pyarv/non_central_chi_squared/tests/test_non_central_chi_squared_bindings.py |
sha256=8QvxGs76QtVq2X1N_qest6oaEmPVad43F1Lj-wuxxco
|
3516 |
pyarv/type_hints/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
pyarv/type_hints/arrays.py |
sha256=YL3VGEbqbXnRmPNdZOP2mPUlSKEDQfdQXOBHcG8QY_A
|
163 |
pyarv/version/__init__.py |
sha256=sfh8kcUoIg2rMyGtvw1_XKow91v637VZ48BRWZe0vS8
|
151 |
pyarv/version/version_bindings.cpython-312-darwin.so |
sha256=IKwZK1BxQI0iIBYd7aqJDF5aTyK5o6yTjJAaRVZFJfY
|
50568 |
pyarv/version/tests/__init__.py |
sha256=rvk7i-tT5ziB4CdR3nksRrWduLgqzb9MksM-7ivAoUI
|
60 |
pyarv/version/tests/test_version_bindings.py |
sha256=EgRx-8IV4WkSt3dKxyeQOfKhjRazeg1OuRezkrLOUYI
|
650 |
PyARV-0.2.8.dist-info/LICENSE.md |
sha256=OO_xA5m2B_5GCie_SqL0uHM5tt4E46J2VHuqtNc_jRM
|
1084 |
PyARV-0.2.8.dist-info/METADATA |
sha256=78mdsGEul_EMOvn2LJ5EUwo__r0m8am3Cy1oS5aN9qU
|
2153 |
PyARV-0.2.8.dist-info/WHEEL |
sha256=JKHh1_6aObQZzv4QJZX8P4IbgiqaeZKxgnWCCukJwEc
|
104 |
PyARV-0.2.8.dist-info/top_level.txt |
sha256=VUt5wEsjHCBWCJApPEBtruaTgY5oZBslR4z8FatAXg0
|
6 |
PyARV-0.2.8.dist-info/RECORD |
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