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-0.0.9-pp310-pypy310_pp73-win_amd64.whl (1.1 MB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.9-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.4 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.9-pp39-pypy39_pp73-win_amd64.whl (1.1 MB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.9-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.7 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.9-pp38-pypy38_pp73-win_amd64.whl (1.1 MB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.9-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.6 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.9-cp313-cp313-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.13Windows x86-64

pypne-0.0.9-cp313-cp313-musllinux_1_2_x86_64.whl (941.4 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

pypne-0.0.9-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (950.0 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

pypne-0.0.9-cp312-cp312-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.12Windows x86-64

pypne-0.0.9-cp312-cp312-musllinux_1_2_x86_64.whl (941.2 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pypne-0.0.9-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (950.1 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pypne-0.0.9-cp311-cp311-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.11Windows x86-64

pypne-0.0.9-cp311-cp311-musllinux_1_2_x86_64.whl (941.4 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

pypne-0.0.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (950.4 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pypne-0.0.9-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10Windows x86-64

pypne-0.0.9-cp310-cp310-musllinux_1_2_x86_64.whl (939.9 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pypne-0.0.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.7 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pypne-0.0.9-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9Windows x86-64

pypne-0.0.9-cp39-cp39-musllinux_1_2_x86_64.whl (939.4 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

pypne-0.0.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (949.0 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pypne-0.0.9-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8Windows x86-64

pypne-0.0.9-cp38-cp38-musllinux_1_2_x86_64.whl (939.1 kB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

pypne-0.0.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.6 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file pypne-0.0.9-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 994315c650edc9dada76008ca51b37f01f3059da78f9027deaf765352c28f92d
MD5 f4acf04eb4c493c563ebc8cfee8846f7
BLAKE2b-256 6a8f30c59ea9ca9d522f3e14db435b8530db5318891cdef44b5341ebff6edda4

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e2e2ec486b86399fcf3c0bae513ca70111d73efd75fda99d0455f82313f70510
MD5 5a46894b7d36e660742daf7f1eb65a96
BLAKE2b-256 66a3ed6478ec9443d17fd47dc8f8fca33bda2e771433eb275829d17fc261c8bf

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 7ac8c30715e2bd7ad467518b8445a3b317d0ddc0bc11ef952f7a0f65beee49fa
MD5 23fb3ea58c5e573b2735365ba65b492b
BLAKE2b-256 81b73f192622fba392565dc9f27f09f8733c458abddd53195b6a73aaa7551895

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 02d9fb378b18c670ab762f7a38d4c9729f905a2f8229ac5008596ac60cfe34c8
MD5 8174962f7af4b8b1d88539dbfe39dffd
BLAKE2b-256 ea5bd150e698fc92396c5b19f9f84fede36e687c3296b4664bf32372cfc9c18c

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 c42480e7b76be3a280b3198d15d6d0fe0affe04bfd4bd906ed24aff9ea365d06
MD5 c7aaf224f2cb1429c1cae5e27f04fe30
BLAKE2b-256 63ac433dd139ebe61afa2cb43507c48620907d8456bc28055ce106a6adbc3761

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ac5f7001d92ecc6efd8ce741a97f896708bdfd23aeadfb314e0373ab722e5417
MD5 cdfec706cfa263d2a64dc65b95cc2741
BLAKE2b-256 2e316b15c806c1de350ff692188cbc4b2170f38791722f80ea8f2b8391ff756d

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.9-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for pypne-0.0.9-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 84ad7a80854e8758aaa2e1c971a237d812baf9cc76764d02e0e960e71d1dffec
MD5 e21e7b54a961bed479b5a737d56931ff
BLAKE2b-256 6a8b8698de5bbfd8896d970c063954f7c44216ec9c2401edbac0a77501c599a9

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 cde7a5935cff207bb2cf4c13ef71c7ea49a0e0b68ef4a7fe8fdb0194298bdbaa
MD5 233375b1171d572905a507fb966fede3
BLAKE2b-256 904af2dd4d255e7c3655e8cbac62b21c3f3f0dfc2563c8314b99d44a14b0fc4c

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0aba59936399bda7952596335fb9c9eda5c59715f553947655963a5a52d0ecf8
MD5 cfd411bf19dfd01a995e91ed6e7cc670
BLAKE2b-256 b44629236da389dd01e41a9df211e1eaacc37ce1a337787d41be3f10ed518636

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.9-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for pypne-0.0.9-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 20872dfc800d30f24bb6ab9db4b47c4bb6b3d3011430f5a28775d07b43ae56c9
MD5 747ec60bd9d273c828bc54b3521b60fe
BLAKE2b-256 6eae009cac9e24ba28aeb9b3c14c91319e77d70b8fd7a43dedbaf0a7b64dfe91

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3f4de02227867e131a8fcd269ba2324e3fa5838bb6664f107bd934e29b57fe88
MD5 03110d44294da4df780e4e2db8c88588
BLAKE2b-256 dae6fa8480be43af007ffaaaefd58894c49982b9272d65cff6c32478ee815fda

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fb6de5b09891f2bfc19787762c8816e7a39facbf59893a3924c3624aed674d30
MD5 0317b9c6f8e2f26a3021cacabf83dc61
BLAKE2b-256 cf30824f296e5895eb1483e7c706b7411293ce8d678a49caabb60ac23802f586

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.9-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for pypne-0.0.9-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a32b4163bde4a6bb74db74bf5bd2dd993f813750f556f1004baf41a256afead4
MD5 973ef743b94fb3c1bcbc832c54da0260
BLAKE2b-256 873da7f7f67370cd2442e33b4020a339431d9cd0315d9511533e6e01726a7566

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f02365bbf704108506d9fa8dea1ff40ae70f856c68d350915c02bdc227a89a0e
MD5 437798d2096f6514b3ccccb57869cbfd
BLAKE2b-256 cb805c1adc604b217d9025fec23797bcec16477688a6f4ad552fd7d2336b7b0a

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 72cab7687a6319f58b4b7231bdc480974b27b36bcd04540d1a40b40a3e0807e4
MD5 e359d86d7cd5a735326e69a5acb6a680
BLAKE2b-256 09414f522c29a6f00e1e2d81f1f631b03cb7ca67b19ab613813d71296504d15a

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.9-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for pypne-0.0.9-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 97d876b7acd4dd7152e5dd1cb80ac5f90290ce4b8aeee7d4c6e87573fc1f8901
MD5 e5f28c1e104c1cbf2fd8363052033e86
BLAKE2b-256 a5bff78f2ab92adb768d6e815da3b926793050114151cc688557a6dd883a7d8a

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f85f16512c8c7fa2921a2d2a08ab5a632f1827a12e8c78f4d4bd55a2c0016fda
MD5 083eb12669b66e385acd8e6b045191bc
BLAKE2b-256 bd4f1fb8c305dbaf9cfc31a78ddc214077fba7ef1ef288a35f6077d267299f34

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 626f701f295aaf98ca446b6c7b1dff7b7a68d9af415782d9c21134f943811db1
MD5 e43cd7729e556b9c30e19ea3690278cb
BLAKE2b-256 b08d3b970746c0afd14451a280d939c1b76b6c40d0aa739d91a304ff6e6903f3

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.9-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for pypne-0.0.9-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 01df6162721e8a835e5a9d60d43f74d17eceeef25614218122c821248594d5d9
MD5 0e6b937446c4e7fed2788cd87b9119e9
BLAKE2b-256 f6d5821881dc66c1b86bc93e1f33aa9c85873f4d48086eec98469e8a62d073c1

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ae596a5869eb3e153b0db1f1accaff2d28a73d9eaf2bee0f7be2629107ad300d
MD5 d580ad09f9699fa3aadc962375ab91c6
BLAKE2b-256 527ab0b7a96cfcfcee6300d47d840e1ad2a3cf531dab10924f1978ea5c666500

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1e0784d3010b53fe18a96a0362cbcd6670ca77c7e2104d34a8b6c0fb461e6085
MD5 b1bd487a4b28fc3a3b69bca8c63297ea
BLAKE2b-256 23f633f0fa36f75b0c3c2f53da35c2251d520c7d8bf140ae0e2fb4c010283657

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.9-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for pypne-0.0.9-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f1981a068bce2fbd22ad46ee5db4920283e537f9755a6ec686c8c9c8bab022f6
MD5 503e3c10e81e2d585c8a15d36d62bd49
BLAKE2b-256 7144b795e3643aa802403c3fa2c4f53e146191b3fa6ada67bc514620ff835a40

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 a2959c9a6750de2a0b86dcaa492d9d56f6890d04d3a79884a550c6658cf09493
MD5 65e903fe5d261bb0797cfcf65f88904e
BLAKE2b-256 ff9adc1648ed0d26f803884a27eaa8390e5189ca9b6dc62526626731f9cda296

See more details on using hashes here.

File details

Details for the file pypne-0.0.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 06286fa0e3f15155043e7c410eac61052dc3e7254da3cbe0ee800fb57bc7ba13
MD5 772f4d626bb76cd235076b7ad6d6603b
BLAKE2b-256 4d54179643d30a5e2c90154c38f849a3c872e4d38f224b485fd48ef09813aea9

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