Skip to main content

No project description provided

Project description

The author of this package has not provided a project description

Project details


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.

pypne-0.0.13-pp311-pypy311_pp73-win_amd64.whl (924.6 kB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.13-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (535.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.13-pp310-pypy310_pp73-win_amd64.whl (922.6 kB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.13-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (533.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.13-pp39-pypy39_pp73-win_amd64.whl (922.6 kB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.13-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (532.9 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.13-pp38-pypy38_pp73-win_amd64.whl (922.7 kB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.13-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (533.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.13-cp313-cp313-win_amd64.whl (927.2 kB view details)

Uploaded CPython 3.13Windows x86-64

pypne-0.0.13-cp313-cp313-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

pypne-0.0.13-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (535.6 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

pypne-0.0.13-cp312-cp312-win_amd64.whl (927.0 kB view details)

Uploaded CPython 3.12Windows x86-64

pypne-0.0.13-cp312-cp312-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pypne-0.0.13-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (535.9 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pypne-0.0.13-cp311-cp311-win_amd64.whl (927.7 kB view details)

Uploaded CPython 3.11Windows x86-64

pypne-0.0.13-cp311-cp311-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

pypne-0.0.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (536.3 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pypne-0.0.13-cp310-cp310-win_amd64.whl (925.4 kB view details)

Uploaded CPython 3.10Windows x86-64

pypne-0.0.13-cp310-cp310-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pypne-0.0.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (534.3 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pypne-0.0.13-cp39-cp39-win_amd64.whl (925.5 kB view details)

Uploaded CPython 3.9Windows x86-64

pypne-0.0.13-cp39-cp39-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

pypne-0.0.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (534.2 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pypne-0.0.13-cp38-cp38-win_amd64.whl (925.3 kB view details)

Uploaded CPython 3.8Windows x86-64

pypne-0.0.13-cp38-cp38-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

pypne-0.0.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (534.2 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file pypne-0.0.13-pp311-pypy311_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp311-pypy311_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 137f77038c02aed02c95b94f9c9e302d269a67a81d9d4c3ed393501c014d9200
MD5 f02737080446a167a274f01a76ddb77a
BLAKE2b-256 56b34e88e7c85ec2599d2eb3aeb13cfbd35add459555f92d535322dae49b1cbe

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7bff78a9b5e97d3bae7b89037319de03d1a0bbe96a39e82281effbcb6adca23e
MD5 3af5a3f2c78fbe894d78ad72b277fb21
BLAKE2b-256 3798e0910575c11a5071fe2558d51d580377a3c0330c5ed8331588d157960eb5

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 54fc4611c8e92f288b140dfa26ee70e4ccea6d260edead6cd7da50a40999d18b
MD5 0c97904eab34086fa2e5084d18d84bd0
BLAKE2b-256 1a30930314b5314d0aa9d046b40f9be9dcbf3a6b421862c501fc3867a16886f7

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 446e9404d9bc615bf47791085e288ff6ec39a732b0f62eb6c18490d73aa17ef0
MD5 fc4545d1c9a4ca67726fdcd9aa2e9bea
BLAKE2b-256 cc766240ddfa656aa18982dcbc16dbd4c4c6d8f618e47cd2514136e68cf2eef0

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 b01169a76135b87cce7900686547c84555c0b814535c0f2bae49f61984c0eb52
MD5 4392f236e3bf88f9e4ed2e263a1b8887
BLAKE2b-256 6d26cb82d7545ed5a93dbd2345add9d42d06550fc6c0642864f96e29c1553fb8

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b28d6bc75074aa407af07586e93a0f7b40c943b044ef1c227ceb616d5f6b68e9
MD5 47d56ac2d7c607f5d491616c894389b2
BLAKE2b-256 c0bdfeffdf089470921c6ec7609a7786b1f2bd99b9969b8e751b0954eac28468

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 1e302e44ebb9cd89f8b24df05770a14883ba1c68c506f7e47845ec4718a31411
MD5 303f767d015c8aa4148ffda59bad3e8b
BLAKE2b-256 c7252c068670c9cd9c0ef45e402a58ad88b65bb3477a02a774492c15cd3012d9

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 92d40d2b1dcfe46b5f2d499dd5b5fb99b995e9e9c80f6be5938c0c005acc7a87
MD5 8a14f9d42cd75379dea8203dce71c021
BLAKE2b-256 9dc0e8d9182fa53b0db1c9201ea320bddf7140c41509b49cfb7ca4f67dc51352

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.13-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 927.2 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for pypne-0.0.13-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 989ec3c63b2fcc565d8b7f5d791daae1a971e08ad51a31f04f32a7890e3db771
MD5 21ac570773bfbcfb46e41830c1b6d30a
BLAKE2b-256 741cd522adba9a68876cef60ba260821259c0ffc6424a2eb402091ec81e88f27

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 44b490dfa6684fb4f91c552dec804d39ee9ff568832ef579e9d5bd2815aa9b6f
MD5 cbdccc3f9a2adec10c0ab9c7c16e0238
BLAKE2b-256 ea70d01985c25d26cc8edf6d1ac97da09e5ce483d41f168d5901f6c4679bae3a

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ea15381272ba047320cf616ca4f2b94209bd2ce2822f86793a10ba0c2abfa0fa
MD5 df4c0885e332e79386ef05fd864386c9
BLAKE2b-256 4c61473ff3feb015f357ecbe01c4dfc829475627d649989ed3836d758bb5af49

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.13-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 927.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for pypne-0.0.13-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 c75b32c887b9f8651591dd607cbc2c2afd957a400fa0554a00fd5d7f843e6d96
MD5 511f730937084844c15ea22eb011f5b8
BLAKE2b-256 8e8866aff044471976513a3ee51123e2bbcaa8c44d8e1feb85084722e740ac30

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 a4ef1d950878b9c748fc03fae60bae740846f2b738afb30d3d12dbe63e6a1f8e
MD5 c87966fd15210930e5b9e9caa0a90110
BLAKE2b-256 5d1ea301cf3ffa11fed447d33125a4a3ff933fbe1414b189157fd908d767ebb2

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 50a4feed7bdcf83e6499779c67f77c13a32472c39d103b96c018f091decd5b90
MD5 51a1dfc0694317637762d82a9f4c2bda
BLAKE2b-256 b41cd350373625b79b4daa76df8a3ccedfa98aadf580f6753687872cf4e01f29

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.13-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 927.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for pypne-0.0.13-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 30fcb39dc00968377775470498e523c9ed54152370a36dfa5848195cfce60811
MD5 e907c6ae819808159c884d76033d1bc9
BLAKE2b-256 f82e67a780bb056f89596976d8f697a680993c3680297442343f0171caf20e9f

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3c1825f3c2c32dd1cf5afba17969af0b9693e35114259d0e3ab758428fe7046a
MD5 1f70ef29f83de4ac9015c4323b151ee2
BLAKE2b-256 d43b1ee0ab172df320fd05d698381de2fe430b42ad89ef0265219ea98435df10

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5a64f119159aa5858f87b9f4482774657f77ba359aa54e52434d39e1e7be78a1
MD5 f4de55512bd0b39e29de543fe95b2d89
BLAKE2b-256 eea3a1d0eab31225284c6b63e3183276b80a95bafbf440ab9bc89a23b8e0bb8d

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.13-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 925.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for pypne-0.0.13-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f305c89fbfd8ea3914d4a179689e9351fdfdba5624deedf52e20e5a951d3f524
MD5 b3495392769f043fca6bde7bb2cd47c5
BLAKE2b-256 2148a99a0703c8c4c0cc53495a3f450a9397720cf3cb81bb0544ed3bbdc482ba

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1081be4a1da9e5850acefb24411a1d575d3ac313a8ac4e3b822f6a97cad1a8d6
MD5 f7e5a95ebc550ed939436d212f851e97
BLAKE2b-256 38067accd794f46212cec636005c8b72a8907e33a69f456465fa1901b6450074

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ca11bfc938ff96910c75d3b427194e88694ce58803ed3209367b3e76cf26b5e
MD5 5c4ff3fdf1bceecb11497e735341a762
BLAKE2b-256 1e9a988b0a4b5b8d50bfc8a46e2ac4b7429d5d721c47ed87ded16afb43471f0f

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.13-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 925.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for pypne-0.0.13-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b1a787db39a39f13d8e9842228c23897a62d3d45a57a5809907253b05e48b227
MD5 a1ff73889c5341bdfd7c1061d0e59970
BLAKE2b-256 1a537a66d6178c7b23b9eba87610ea2d180f07e4ef60cc192d7fd97e6e7e8084

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 c051776e1c13e590e5b514b4f169787b43c7c0ba1b9cb59fa4ca01b02ff05ced
MD5 c46a80a723bf029fe8c60ea7e5ff5c6e
BLAKE2b-256 24ff4e5c081b831283f8ae6e67a4bce15cf9993ce548c5ba25b04261e6b134dd

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 322cc8a352cad08b525b43c0a28adb4859f3146339189f5bb60984da1026d6ad
MD5 1b3f408e72e78828c1a05b6ab0bb3102
BLAKE2b-256 cdc0c34715c86a7130aa88fc12fdfb32a2f9df94bf3aa503f44ac02cec635a90

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.13-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 925.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.11

File hashes

Hashes for pypne-0.0.13-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f57aa6e63f05980ac4700d9f81b460d35409133b99b35d909f4ece9ccb0eb9da
MD5 4c24e7a9edbad94897c4859be2d7fa1a
BLAKE2b-256 2660be3cdff3a6ccbc6b61acbe064be0e101e0e30973d5745360351cd1cfb23a

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5db965a21d8b0dae297ea8177e6c288878f04b5eae2ffe44108e2041c22fe3ee
MD5 c6e4ed7ae0d5ad55f8b382a4642840ef
BLAKE2b-256 187a69e64d718efbe23026f4f30cc634ecac57a16fabb7412f0319552497b8b7

See more details on using hashes here.

File details

Details for the file pypne-0.0.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1cd6f4dcbdf2dd737ddb89f4f2b300b47106bdaf7a2ed3909344f2f277dd2cb1
MD5 dc4de266d240fae4762f5d7ebc1e9bd2
BLAKE2b-256 9bb643ba5835fe0635105c2054b10c246f5398074ca76d3955b2818e866f159a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page