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

This version

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

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-0.0.32-cp314-cp314t-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.14tWindows x86-64

pypne-0.0.32-cp314-cp314t-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ x86-64

pypne-0.0.32-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (662.5 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypne-0.0.32-cp314-cp314-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.14Windows x86-64

pypne-0.0.32-cp314-cp314-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ x86-64

pypne-0.0.32-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (664.2 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypne-0.0.32-cp313-cp313-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.13Windows x86-64

pypne-0.0.32-cp313-cp313-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

pypne-0.0.32-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (664.0 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypne-0.0.32-cp312-cp312-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.12Windows x86-64

pypne-0.0.32-cp312-cp312-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pypne-0.0.32-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (664.3 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypne-0.0.32-cp311-cp311-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.11Windows x86-64

pypne-0.0.32-cp311-cp311-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

pypne-0.0.32-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (660.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypne-0.0.32-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10Windows x86-64

pypne-0.0.32-cp310-cp310-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pypne-0.0.32-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (659.1 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypne-0.0.32-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9Windows x86-64

pypne-0.0.32-cp39-cp39-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

pypne-0.0.32-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (659.2 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypne-0.0.32-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8Windows x86-64

pypne-0.0.32-cp38-cp38-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

pypne-0.0.32-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (658.8 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

File details

Details for the file pypne-0.0.32-cp314-cp314t-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-cp314-cp314t-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.14t, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp314-cp314t-win_amd64.whl
Algorithm Hash digest
SHA256 26190c11682055fe111fc10020ac1c3144d2721bb89bfdef27d41e3c388b940f
MD5 8372df8f1ac13d228af3100d7b7b2930
BLAKE2b-256 35d9c8fde33f36b465853321eedc01f5ed41717454cb624c5a243d9caf934f7d

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp314-cp314t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp314-cp314t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b2d39aa871f97e04d7377b738e8369a0d53b31bffd9044df5a8b0cda16d78dd8
MD5 797bc092f9d5f997dae7fc76e593f038
BLAKE2b-256 b4b82667da6b75e7b5a04eb528308b83a512283fc21ea86559859aadc809008a

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 96533d7e4cda952fc408dad1496c07dd27032002ca0674fcd2a5d17d243a3b78
MD5 41b6b023499155d16e453a8f0350d912
BLAKE2b-256 725ae0e98c7e1b930e287dd703b47c9a323c6d8f1b9b4836c89bc798f65f9726

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 dd6e55622d945965e5fbc4553625c37e3788519bf2f90e68635a7f579389bf7d
MD5 b26d11cdb6e3146b0510b22b5f2f390b
BLAKE2b-256 0508e79d1a4b1f02d9d5c323711963b6978d7dfc59d97d902863850aed54f53d

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp314-cp314-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp314-cp314-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 75f92428ef82fb6fac60893beb187cc674b0ea261b9be35cd13718f93a7a4a5a
MD5 ab1c1504448cf4cf3574bf21b4acea98
BLAKE2b-256 0f85c336d50c4f09474dc481fd6e123e67cb36d7b6e86e5a99b5185129610e16

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c52492db3f04568733fdefc7d54947b23b442df82c67d7ad6ffa2e36aa6e3366
MD5 4f65bcf73dbdec7bf33632a2ce0f11d0
BLAKE2b-256 a55c2c09799b96904195c319294d91218643f56362a2996d7e6b9372375e2578

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-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/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 d6f1a72557001f778b28afdd407504d58746c24a515bf799bbae3dc9a51d01b4
MD5 073ff848af990e4226f544ea0187c68b
BLAKE2b-256 dda88577225826e21657188c3adcc5812a0cd2d8840aef79a8a86034ad4ac285

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 77c44a4556a3c242f8ca9c72aec9e77644f81f40516c5ae6a90b808246c1b2ee
MD5 c373cdc429092f1907462a5308f12711
BLAKE2b-256 5b714aacf26a9a7efdc156f1170f782c742e386ad423d19df7c5afd6721c6680

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 babf01aa5f0c005ddcc20b8717ba7711666b2f902ec89e2e0d2fbc2a01be7641
MD5 48e4fa1f07c9e3bd5e0cbfb047e830c1
BLAKE2b-256 182ed9e9d1d95793b894ee3be6e64ee9bab6fe4126509f80bc4f118679e4035f

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-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/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 699480b58c36e9dfa8d8df8747e0eb0a1849779cc5dc1919749cfbe92ca45cd6
MD5 afc4cf326bc6f24e419d94420d239526
BLAKE2b-256 fcaca30ca00c76a909843d86b8714d237aeeef45051a90c61994cd3ff118e677

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b68a3120c489d1f4e00683430faf497688030a46e5e49b82c3d7416701104b3a
MD5 96811854553eb04efd74ef10b3092b59
BLAKE2b-256 280cbb265e9ce98e59cd382eb7795a318c4128c9960ecc9055c30019a83478ff

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 cf3ae5d44a9e1d171d6291afdb45a1132833377f546059b07078077b90caa637
MD5 266be3e0bfe1058b9d6557bdfc28d39f
BLAKE2b-256 ed066f7ba5f62d5217997924b6aaaf9e5a09b7817afa325fcf63a997269f3788

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-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/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 986f0e782889b874f806eed1021e95b534b5c7929c6fda8999af51aeb12c59da
MD5 b947d57c837980b4e269a10a9db6f5f2
BLAKE2b-256 8badd9243719dccbe8e3c2b886d53d5953424b2efcfa01a7ec6861d6713d62bd

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f916259a7943fd464887ef03972f9743950c0981d4a76259efc156b449ae6533
MD5 056a69f991821481d5f50104c07e314c
BLAKE2b-256 40ee357c32a8e28a727528dace0a33fad8ee072711c80ad070dfd244972d2bfc

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9b4425ceb993cdabb1a3236c103f64c061cc6e2d5b7f0b188414518142411c4c
MD5 1a9a15261700f47d83997f04b6129d42
BLAKE2b-256 232eb0fed42b8a654948efda949d53b8ba74bd1482979022ae4b521b7854589b

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-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/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 43316d50fb165631344a253b3462434a10b23fbd1df14401b1212c5e1787a625
MD5 2fdd677b0ccdb780097311d6a3fa562f
BLAKE2b-256 a84854462d3c011243816af034469b43243b708413d87ff1307001e63d1d1e67

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1572960ac3beb319aae055dd2c55ca9f5569b71c5c19bea23eebe9d811f27843
MD5 a6c4e8bf9eac1b0e73ab88257f42334b
BLAKE2b-256 093677780d192c4ecc33e63631c8460d84caeb00c379720137a90703db14ef80

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a983137e1f62a9a677d55ff7d6bff11e13545815bc869dad35df173397b5b223
MD5 44dcf9739ad9b5ca4062121110dcd232
BLAKE2b-256 8d45d50fedd7162a748f17097813f5d1ac937865664f070842dcb36099670487

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-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/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 9e20c520bfee69c8d500ee868398a5c1789d64d1701783de1d2f4535a05b3d30
MD5 36bf15306126cecaa81fb895f89b3d62
BLAKE2b-256 929c88045ad0cd753ab8b82f2fcd527cf2e8533172bfc196da2cface0a44c90f

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 567f539252ea323f113231b1ec46f8f45395d3a852bf5c7853c6f07474f1a2e3
MD5 16cc2c827dc9e57268d5acfe3f2e5a01
BLAKE2b-256 f274246efdd26dcf307e68badd585d69f20c23ac313140ba9536321ef9a00c5b

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8f3e9c3491696ec221f2aa60cbbbe80b2d94b6ff5a2e82a384216e7e129e282d
MD5 0c1f835472401fe6f340f7ca21976e4c
BLAKE2b-256 1c9571e028854402e3adfb06017f65c071cce8586d145061c6518500948a5e45

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pypne-0.0.32-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/6.1.0 CPython/3.13.5

File hashes

Hashes for pypne-0.0.32-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8567573fde358e2ae75aa524da666690d10331780db5238d40e99698a58742eb
MD5 81ce522fd58c8b6eff890cb8bd6cbcbd
BLAKE2b-256 9c224a90eb384aceaeec1e5ac2f5e1689b99dcccb947f790f1c1eca766cd3a35

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 71ed1de4ce0328019344926ec65da3a4eca82f72b6a7a63c6088ffff85357fa9
MD5 4555eb4044fef1383ae8012cd5338f23
BLAKE2b-256 f4303bff30ee3fcf1c362b8c811033db8e9c7f8b2a16afa97fc238802ed56432

See more details on using hashes here.

File details

Details for the file pypne-0.0.32-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypne-0.0.32-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4acb575f9a84b1d2ea75a2e20c355a2a1e1f9f30c3782be124a6897a14460ffc
MD5 f99255386eaaf0379bf920e5b513f134
BLAKE2b-256 34d02e81d4ce19c1a955bbf0b2c911de7f13e8713c34f57d372797cb9a92fd70

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