No project description provided

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for yojeep from gravatar.com yojeep

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python >=3.8
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for yojeep from gravatar.com yojeep

Unverified details

These details have not been verified by PyPI
Meta
  • Requires: Python >=3.8

Release history Release notifications | RSS feed

0.0.33

0.0.32

0.0.24

0.0.23

0.0.20

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

This version

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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-0.0.10-pp310-pypy310_pp73-win_amd64.whl (1.1 MB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.10-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (947.0 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.10-pp39-pypy39_pp73-win_amd64.whl (1.1 MB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.10-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (946.9 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.10-pp38-pypy38_pp73-win_amd64.whl (1.1 MB view details)

Uploaded PyPyWindows x86-64

pypne-0.0.10-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (946.8 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pypne-0.0.10-cp313-cp313-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.13Windows x86-64

pypne-0.0.10-cp313-cp313-musllinux_1_2_x86_64.whl (939.4 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

pypne-0.0.10-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (949.3 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

pypne-0.0.10-cp312-cp312-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.12Windows x86-64

pypne-0.0.10-cp312-cp312-musllinux_1_2_x86_64.whl (939.3 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pypne-0.0.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (949.2 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pypne-0.0.10-cp311-cp311-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.11Windows x86-64

pypne-0.0.10-cp311-cp311-musllinux_1_2_x86_64.whl (940.4 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

pypne-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (950.2 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pypne-0.0.10-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10Windows x86-64

pypne-0.0.10-cp310-cp310-musllinux_1_2_x86_64.whl (939.0 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pypne-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pypne-0.0.10-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9Windows x86-64

pypne-0.0.10-cp39-cp39-musllinux_1_2_x86_64.whl (938.6 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

pypne-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.5 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pypne-0.0.10-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8Windows x86-64

pypne-0.0.10-cp38-cp38-musllinux_1_2_x86_64.whl (938.4 kB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

pypne-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (948.5 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

File details

Details for the file pypne-0.0.10-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8d1e6ac96b912cbe281478f1c61542d7e26376c5b515ffba022861b378c91ce7
MD5 4925554da8dba5c9d0bb66b05050297e
BLAKE2b-256 9301eba7f4c806c3dcfbe65d0ecfb48c877916b314b57ad91b4f341c3a05a749

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 05d27aef2e1a7b7cafec3b214b67f0fd88ffc18096d48149d5bc711e626d9cfc
MD5 b7ebdb0e1eeff115780092e7f284d0ee
BLAKE2b-256 1682bfb41f6dcc6c930a4d4d75128009efbb503da86efe5cbdb2c305afe9a362

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 783aa35dbeb4a29fd727f910ddade138e96ca651ef18228ebdff1be0dd761d2f
MD5 7271ca5cbe07ca5cefbcde7463677728
BLAKE2b-256 c4b9edc93eea4f42d5394f8b0c56a56032a1039c32f54aa72e4552197b3a9c54

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b2e147add66aaf8a39cf8743a7b330d943af63fb7f7d3ab07a0130302b231e1
MD5 4862bae29c3da78ef2129598dfba67d8
BLAKE2b-256 fda540dbfa492d32e12983ed939eb0ae5317016d2e1d1b5b1d22a672f6078861

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 5269953572ad3880de6db02e04c9f096fcd518bf1801ab21d51694318c7f4f66
MD5 f3b3691be4c983703ef4ef5644a8b56d
BLAKE2b-256 5b010bf442509aaeb8d4ba666d647cc6fb3a4100542f74d37823195ee1ae8ac1

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 37414c0fd87afc4f98f0c8cc1843d1537550064b3aaf2954a36e2ea7183afadc
MD5 04c0e2bddc0bff9cdac25ecc9870758d
BLAKE2b-256 a2dc115a3edf573e4edd66e658e898bf6e13697e2134b48c45ea796e6bf7a147

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.10-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-0.0.10-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 a169cac98871e942efab0dd022f62356dae97ed37dc214e7b32d2c5cce0c09db
MD5 18a5c0b59d5a773e2256feb08321b0d6
BLAKE2b-256 5ecd5390920ff5df9ef434d0e991dd0549d152346af4f82f7cab530aeb10c5a0

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 c34825ed299100bcf2417ace10368e0bcfb57aa649544f6c96425a56a245f678
MD5 50c7ed9acb769c7bc2fbc5045e7c4d34
BLAKE2b-256 1318f8684a527a6d2b35c22cc61290c2739612aa2823218bd5e1927f433dbdee

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cec7ec43841e68255bde9ebbcf576a3fe9a49d038a677e6890ba646036f081de
MD5 885167f80dd98bd625e56b6a1b8081a3
BLAKE2b-256 667cdb9967d95b23df815a3c25d244179c8a75747693193248a4559c65f7eb96

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.10-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-0.0.10-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 5ae3ee485125eadc4d71ba2531e73e7fe623a0a8949f361543c0e7b643f15d44
MD5 95910ccce056f9c8ebda7856dbe73f4f
BLAKE2b-256 667f2ffc6087a6298fe469d64add97f0e228ccca09fce641fe64972ea55a1571

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 a150c6fee66c1ff1aaf04332f4440f8b85af2947f86f19158b7bab57c4ac3929
MD5 49c925fd17c8c7965bbf6feeb0576c54
BLAKE2b-256 2a5aa247e891c3c1d71d2d5bd1de2e5b63f04b6e857faf7d9f44a253311120d7

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 03ba612624ce1cb249495c91d16e347338b5bbd59462b997c5ed232102aacbf8
MD5 7bf66396bac26f4163c39cd72c52cd87
BLAKE2b-256 080f53363a93dd219f0979c23e1f1a829ab6ecf6bc9f3d2d427bd2e5b1ea0359

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.10-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-0.0.10-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 740633b27a93a08570b779ce9dd0c219a61a578f9f2dce0f23b4a61872a6c30a
MD5 22319bc1619fb27500054f0d4ad14e6c
BLAKE2b-256 0ab6cb87e4a5f45edaa0ea47df91c8ccc9fee2dad5fe1b649ce698a5fa734e31

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b2aa6dcae277085d497a79b75b14e8da2d1acef0b04ebcc1fa9d835d815b95ca
MD5 2562c43e315bb83b41f89968f1cab462
BLAKE2b-256 2ffb1a322a64e1382d32ebc2f473bc0ff08afbd82d314eeb62d3eb2681e05ae3

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e83bb305adc1a904de0270fbf9c92ccc7fa1399cd12f178704934d9853e281e9
MD5 0dcac1569997bf8a0cf0100390b3600c
BLAKE2b-256 62eb33e121e2fadc506c5b632ccbb0923d4f28b1d4e19cce1941ba4c2d775135

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.10-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-0.0.10-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 db5ea399e8cd6fe80c39a5ce5b69c2a36bf0cf6385d21feea887dbd87c954f59
MD5 d7d67851974ad2b20983411943ad338e
BLAKE2b-256 9f9dcbb69f2160d75b7a93c6fe0d74c925772ed7f8ff8eb9ceac783de48c6832

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f328b2b98f62714350bd4deecacfbda08bc66caf8bb44b7fc2c5a657d5d8259f
MD5 e01fef849ce5839dbc40e48e46a17c1c
BLAKE2b-256 5dd86ea7533d2837ac889ad902f8ab7f8d894b58dfee08e93c5af71d9d21f2de

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7f214385499e0e13e9a2c5c1249feb3ac1923dd805968bf71d65bf2a7c7c1e33
MD5 f15136dff68a70dea4b0554e58543d11
BLAKE2b-256 bab6a0074ac4931cd1843cb9f23df3e1f7f84b38c62dc7b607d31c609823b53f

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.10-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-0.0.10-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 9298d0db547c03a885e76c20dc6a8aff7c4f141a69ac95109a2ffd2f8d098e07
MD5 2591a2bddf0f03bae0e4a1adcbbf26f5
BLAKE2b-256 3a0dfa3405e381483e4bcb5ecf101a0f0dc228369c535d7494932b51d4fb73fe

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d9b1a948824d7649a9e72d3faa2ca6227c14aa7eeecf8cf3707f5ee4df7285a1
MD5 8fc5bb7467de6d2b1c60cf23704107bb
BLAKE2b-256 df87ce5f553443ab5757c24b99fb2c666c196334f52cf46e3f44b962ec611093

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e9027605a70498c448c01c5c5a7e4ff1f4264c4b3a34f61f65f5f056e0f22c4
MD5 eaa9256b89f7cfe7706fa90ceb155003
BLAKE2b-256 80519cb6617751cac4cb019754c9ed168b2f568a732bb240389f1fefe771e627

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.10-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-0.0.10-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5ce929e931ef9370734d36fd7e51c92125574ffccf5eda2ebfa957fca45d0b07
MD5 83d53e5fc38c404a5334f9332dcba0d5
BLAKE2b-256 1d1fa8cf76e7d9fbba332ea389b78d2cb2275977bde01c18a86642d3cf40d6e0

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 9e927635df6c6d319e6b9da1f3ed3e20a34ef3387b97bb7042c63c12f2ed2bcb
MD5 3403b892d9b6793b4078ea358829c1b7
BLAKE2b-256 326e663f840169d77de6e29446d970f4f0ddb21747f8f57f7bee895245e7fa6b

See more details on using hashes here.

File details

Details for the file pypne-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 37b263e2f40a9829765b86ffe2e0b9bf1796100fea536e08d5d3f689afd81b81
MD5 17a339e556d2a50155bb426593174e2f
BLAKE2b-256 3070fd59c111317881d6a4975bc9d2e6b725d73bf2e37241e5bf12df5039eed3

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