No project description provided

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI

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 maxwellflitton from gravatar.com maxwellflitton

Unverified details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

This version

1.0

0.2

0.1

Download files

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

Source Distribution

pansurg-1.0.tar.gz (10.5 kB view details)

Uploaded Source

Built Distributions

pansurg-1.0-pp39-pypy39_pp73-win_amd64.whl (7.5 MB view details)

Uploaded PyPy Windows x86-64

pansurg-1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pansurg-1.0-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (10.7 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

pansurg-1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (8.1 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

pansurg-1.0-pp38-pypy38_pp73-win_amd64.whl (7.5 MB view details)

Uploaded PyPy Windows x86-64

pansurg-1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pansurg-1.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (10.7 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

pansurg-1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (8.1 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

pansurg-1.0-pp37-pypy37_pp73-win_amd64.whl (7.5 MB view details)

Uploaded PyPy Windows x86-64

pansurg-1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pansurg-1.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (10.7 MB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

pansurg-1.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (8.0 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

pansurg-1.0-cp310-cp310-win_amd64.whl (7.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

pansurg-1.0-cp310-cp310-win32.whl (7.1 MB view details)

Uploaded CPython 3.10 Windows x86

pansurg-1.0-cp310-cp310-musllinux_1_1_x86_64.whl (10.1 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pansurg-1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pansurg-1.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (10.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

pansurg-1.0-cp310-cp310-macosx_11_0_arm64.whl (7.7 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pansurg-1.0-cp310-cp310-macosx_10_9_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pansurg-1.0-cp310-cp310-macosx_10_9_universal2.whl (15.7 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file pansurg-1.0.tar.gz.

File metadata

  • Download URL: pansurg-1.0.tar.gz
  • Upload date:
  • Size: 10.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for pansurg-1.0.tar.gz
Algorithm Hash digest
SHA256 1e7cce2ba976fa842506a362942f8e4e0a4161e7bc8b657f3f132158da5f33a3
MD5 738fccde1170f53ece18785e245b8c5c
BLAKE2b-256 189c04a139c739e473b0aa042fb301a68388783c9b9f5910be6cc1378fbeba28

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 51db6797757da2a56fdcd4c96a2712329ecdd5d82887c51f7d819f442bc44e0b
MD5 4262aeddccabf8397e92e97bc5fc11f4
BLAKE2b-256 0c7f30345cbda01800214d64533eb652c538396aa747ad5589b41693a6ed8c08

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0f55ef67574c8f1a3e1d4a3f20d2adafdd96d20b8f769e53bf9b0c5d096c7b93
MD5 c6e4822f6cc2302470bd3e0ae0c0b979
BLAKE2b-256 bcac14dd0a4fa076f4fe75614e15bcf4db889ca64f7d3cdf987f3bd4d089098e

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 19c5f223be7a1c0b113a17b518163a1b026ae0b4098f96dbba0799f53207431f
MD5 4dd7eba5aaeda80392fd847baebf0c71
BLAKE2b-256 69b830c44134d0e4225e54d05c4d1336799089e483008e1bb972c409a79d68fc

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0468e7c043a691e24ec49e23b196b259a9340eb1c7d78d99b8f839247a04cf1e
MD5 6b262e2fd31c89dd384081ad9d29cc4e
BLAKE2b-256 858e8e24338cd5b55fd02f98b4dfe717ef3f8d4269ed45ae8892aece285d468d

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 d8c2aa4f6c9446a0ff7d839391e97b61c7e9d5be3372201a92f2ebdd546c800a
MD5 34ceeb40f08e43c4e9dcf620134eabeb
BLAKE2b-256 ed22097c698afd5e28a1647fdb400a8d9c4ad45213ad23e45f829c27e02a9ede

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 62bef7095ee8988ad87d0a5b448697ff8f876575a147f8a2ab979703e7f80882
MD5 fda63231c8a709aced0f62fd734caa3a
BLAKE2b-256 ff3756290e7df96c63c1b2845d5ad67517b3b9c0e74aee4f029071ff20e41da7

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 18d7128cf97df0d735547244fb468ebab4fa1c9f49c400950b296003add6cd2e
MD5 1a6ab489684738d529c76845074b47d9
BLAKE2b-256 5cbe4ba744cc3fb75e7f435a60ceb560bec9838a9fb0dbdfaa85c0440cb3a9df

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a94b014e6fcdbfa7ec76e62b1e739d3f8a5571f74bd497824cc3c18651169481
MD5 d92b06c5c7ad2bd0787ff679ea4ce173
BLAKE2b-256 52526acb33ec4d80c8d8412cba39321a37653986c3057accaa2a0038c18d243a

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ed6e06dce05d617e3d7192f75118270e74f627830e2e8d42eae0f9442b9c0311
MD5 7ee1ce135385baaa23db9b6bd844b0c0
BLAKE2b-256 fdcecb8ea06ab2e90aad009223c177cc3e0aaec1ccd5ad4c9365d9bee1ffde25

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bfc1548773d564b347ecb008c4f8ff7041d3d3b6c88565ae5487acdc93df04c3
MD5 b39407d4983c7fbda31016707cefeb59
BLAKE2b-256 d1d4ed00aa6ac6f6bc575fe458bda26a5bd191a35b5ce4e3ac8305b34255f531

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 24d8472dbbe5ed334cf50390b9cabcbd60e9bb218e662bbe0f829b90a04569bc
MD5 b7802dd0c35c52081d24247aa3e48f17
BLAKE2b-256 8e96ce9a87ee4d12678f6293b7fc3540145a7fab744a54d6ef96c3d3a07e0de3

See more details on using hashes here.

File details

Details for the file pansurg-1.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 07df12540e2a88c7b13789870986254e4624173d9053a18e19d68c42468e0ffa
MD5 6f7b4da213555a06f3dd766fb431f6da
BLAKE2b-256 98486d2a400a0695d544037cd2bb2c2fa43acd62a439117cc07b425c76bfb4b1

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pansurg-1.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for pansurg-1.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 05f352eef7b5e59da9d785a405efe8759bae385c60ec42c74e200812c48204a3
MD5 f3b770a3cd1f6e957a792599f630c9d5
BLAKE2b-256 60e5f419050cfc92dafc145731d2d0afb4562d56ae8999f429dc4250bcbf6cf8

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: pansurg-1.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for pansurg-1.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 af2b1d3b9c0c878177fdf85f1c8c82b9a6a0e5a6ea4889e45b11dffa8279cf6d
MD5 0547b99e5254c395792259952e2f5255
BLAKE2b-256 1c2a91ef93604252c997f038bd83034e0c567c118ba4640a481c250d1dbfd39b

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 e3e72026e43cb1132a9c177af5fe73ec5135476eea1c8f58b8d08ec25c3e0a0a
MD5 ef52f83b9838e54e080bc18e899ada94
BLAKE2b-256 b497dc07fa3d63a9929e8c8dc09adee4d748c21bc66e0bee564ce6ad50d47b94

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a29dc0bfc24c3794734d48bd1081b3e7352d6ddc7093a2341f1dd959ed43dbe7
MD5 a081726d0b618c399ed8e415c6650882
BLAKE2b-256 f84d43d447c7f2c2d6a8921e14ee9105824e732c992826756a62900e9bb5a604

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pansurg-1.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6d8fda47d03e7ba77ae533559659bdee1ae8304c49b2684202bc16ace027916c
MD5 5d046c5a22980244a7bc8548d5d698f1
BLAKE2b-256 ca6fd60a5650fd6fc48567fc960a16b0d846a8b6aeae61441a6f1d98d0ca3e0b

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2f8ad2f1f0290a7078278a01dc6d1081966289835352cad0c254f6f0964376a2
MD5 85facf4fd4ed4bb0dfaaccb68ddf3e3a
BLAKE2b-256 49c3b2f8190d5969e84ae3eae29927314c1eb7bd3a7c383012d838e40fc85f66

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pansurg-1.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 af111ef5b2716cd6a6cd93db2ed15dc929e8d31f4e777e6663f6cfab4e4ac480
MD5 2f307ab904392066121ba63f92f570b7
BLAKE2b-256 bc24c19181a7d9f8a73896bdb7f9778e1f38cbe55ac6ca8e6fd6f819660c4262

See more details on using hashes here.

File details

Details for the file pansurg-1.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pansurg-1.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 eb529d00a8ebf865e5f7cdabf60a224a790814f7536772042e2dc324e9f4a208
MD5 fd4a3e9233269d3b6663b4b4cf798a82
BLAKE2b-256 c726b39d95b326fc5d4fbc4c3dc85f6635f62552086cbea65def4289d84c12b4

See more details on using hashes here.

Supported by

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