The author of this package has not provided a project description

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.0.0.38)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bjjwwang from gravatar.com bjjwwang

Credits

Author: Your Name

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pysvf-1.0.0.36-cp312-cp312-manylinux2014_x86_64.whl (94.6 MB view details)

Uploaded CPython 3.12

pysvf-1.0.0.36-cp312-cp312-manylinux2014_aarch64.whl (91.7 MB view details)

Uploaded CPython 3.12

pysvf-1.0.0.36-cp312-cp312-macosx_11_0_arm64.whl (56.0 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pysvf-1.0.0.36-cp311-cp311-manylinux2014_x86_64.whl (94.6 MB view details)

Uploaded CPython 3.11

pysvf-1.0.0.36-cp311-cp311-manylinux2014_aarch64.whl (91.7 MB view details)

Uploaded CPython 3.11

pysvf-1.0.0.36-cp311-cp311-macosx_11_0_arm64.whl (56.0 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pysvf-1.0.0.36-cp310-cp310-manylinux2014_x86_64.whl (94.6 MB view details)

Uploaded CPython 3.10

pysvf-1.0.0.36-cp310-cp310-manylinux2014_aarch64.whl (91.7 MB view details)

Uploaded CPython 3.10

pysvf-1.0.0.36-cp310-cp310-macosx_11_0_arm64.whl (56.0 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pysvf-1.0.0.36-cp39-cp39-manylinux2014_x86_64.whl (94.6 MB view details)

Uploaded CPython 3.9

pysvf-1.0.0.36-cp39-cp39-manylinux2014_aarch64.whl (91.7 MB view details)

Uploaded CPython 3.9

pysvf-1.0.0.36-cp39-cp39-macosx_11_0_arm64.whl (56.0 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

pysvf-1.0.0.36-cp38-cp38-manylinux2014_x86_64.whl (94.6 MB view details)

Uploaded CPython 3.8

pysvf-1.0.0.36-cp38-cp38-manylinux2014_aarch64.whl (91.6 MB view details)

Uploaded CPython 3.8

pysvf-1.0.0.36-cp38-cp38-macosx_11_0_arm64.whl (56.0 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

File details

Details for the file pysvf-1.0.0.36-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 56f1bc89736468f797fec8a287ccfe5c859459435bcc4a8320673d4c2152f906
MD5 9dbb59097837baf6fe1f87a42a1e2813
BLAKE2b-256 f6b891c56faca30018782d176e4f01fd50206edc1e1b698182aab26ceae397bb

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 73bd0754bbf4a6597ecae31c4206c3314a89c83e71e309f2934dd55a432e9786
MD5 3d67ffdec74fed9a71a1e319fcb03ba0
BLAKE2b-256 3a3988337f0121b9433b699aa0f64e84f0827906c3db8da1808dbcc555b150c6

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3204e429bfec929390fd44f32a527a7315c5e89ff8fca49af559b90e47f00c9e
MD5 6ad172a58836689860fe0d59263822d6
BLAKE2b-256 ef44190fa131a12fbc7f894ea06770f626d06da0eb058ef81552c932bca69431

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5459c7c27277e78ea66830cbedbd44962ae32f9a5daa6d683b3e0f128700940d
MD5 1d74d1fda5709a4d76763c81351f7bc8
BLAKE2b-256 9b56684361a5759b4821aada0e19326a257c185610de003d99f2a76232505e4f

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5db79d77946dd27aadf589b1c42b46dad2222c08cb3867b10f22c1cc81f87ae7
MD5 b83aec997979de53fa1105581ee1ccf4
BLAKE2b-256 696270c1f2be74ed5bdcae401b4b2fd9c6fbebfae53f72744b7bed8ddc9bbbbf

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 46cb6edf71ddba81f4e91b111d8a49af6f2f53c76cbc23b7daf1d0b80aacd4db
MD5 4af67cd19ba6cd5f2b4166f5fb247cae
BLAKE2b-256 8fc57356cb2c00d03573d8111c1d67c752aca695eba6ccb31cbe38a1ccf3fedb

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8500282324815f07421c02f1150050ff76c4915bb92db58d039e73c1f001c0c2
MD5 97fffa2549d1c93487216adf48d428b0
BLAKE2b-256 9fdf6b8ffeb0c01f635501d1fbdb9e1861171f625a6e3daf505de893c660cdcf

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6cf8a58c2791912ea127e43f14fa997e5ecd4309174e32e365755e5d1c81a230
MD5 7410933b18795b3aee19ba1abb3216f3
BLAKE2b-256 714c8b900908c873d4317655d68725b1872d1a10f1dee5381cd7c53079ca49da

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f807611b26fb57f386097165927f3152debc32097cf7c1586b1909887eb56b1e
MD5 481fa8d9cf6a64600dc6bd5debd3dcd0
BLAKE2b-256 23636b9808989193698698b0ce02e13e7be68115ac70951ff37b30597db9677b

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 29e4aaa8a115e37cbcc7034fd7b516451e1417c534f3b29d41c977f0eb070d18
MD5 05ec836490b74e8b40e69269eef0fe0f
BLAKE2b-256 d8d6a9332cf7c115117d6a1d6ab341dcfe746453f9f727a025c2b2204b105459

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7dfaa722b19dca2510769844088813da0709c4dfebe7c2fc33c58b9f8e28ba80
MD5 96e66c40d006b9cd22b9f518c9b4f3b2
BLAKE2b-256 865636e0e9e9cadb8d203e7f557313b03e8b99b012dd26fd431711c1d91caf33

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7d1fab8f91cf9a147f46f34691a32ce73e9147c7880c7c5f705e6268cc533eb7
MD5 405696a2c0f591cad396451989d8a7be
BLAKE2b-256 99113f646d1430d41feea1224e2f01018c7f081b813f5aeab3946f68ac17a33b

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 889ecbda99f786b0d48d7c0bb4be0c74db83c646b689cff7bb0048ca56f30aa9
MD5 03a9f8c0947f05131f544ee74ef852cd
BLAKE2b-256 77f2534b2409c30b71f28dbdbf26a8cce8e9020f6abab6a4a8ccc6632564f339

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bd4fa911eab968c3d8c68632d02d9720162ffbf30959367e4b7b5ccb27018173
MD5 9d214a090577f5c06703de27a08de997
BLAKE2b-256 b9b8a749ac3aa2589f4b90c97ce1b3fd97d3135dfe88facaf8e5d4cb7312d60e

See more details on using hashes here.

File details

Details for the file pysvf-1.0.0.36-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysvf-1.0.0.36-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 61f2b5689ed01c298a93611d03afe2c286cedbd5297b1c65f21beab563bf9d8d
MD5 6d9d38a804cb7fff324081719ec3335c
BLAKE2b-256 84892794c65ccd83b8a3016e1954de04604a2dbf4a03f020faf7c3d19593597d

See more details on using hashes here.

Release history Release notifications | RSS feed

1.0.0.38

15 files

1.0.0.37

15 files

This release

1.0.0.36 This release

15 files

1.0.0.35

15 files

1.0.0.34

15 files

1.0.0.33

15 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page