No project description provided

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta

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 vene from gravatar.com vene

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

This version

1.0

Download files

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

Source Distribution

lp-sparsemap-1.0.tar.gz (371.4 kB view details)

Uploaded Source

Built Distributions

lp_sparsemap-1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

lp_sparsemap-1.0-cp39-cp39-macosx_11_0_arm64.whl (2.0 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

lp_sparsemap-1.0-cp39-cp39-macosx_10_9_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

lp_sparsemap-1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

lp_sparsemap-1.0-cp38-cp38-macosx_11_0_arm64.whl (2.0 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

lp_sparsemap-1.0-cp38-cp38-macosx_10_9_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file lp-sparsemap-1.0.tar.gz.

File metadata

  • Download URL: lp-sparsemap-1.0.tar.gz
  • Upload date:
  • Size: 371.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for lp-sparsemap-1.0.tar.gz
Algorithm Hash digest
SHA256 7213984348965b31e5888c82970526dc96532d68a55af35d52f32756b2255b73
MD5 8b5a4eaeea53e51d42e4bd988b31c6c2
BLAKE2b-256 44baf0f530f8263116668c4402479ace2d064279edcdc59e71756f8c659e6145

See more details on using hashes here.

File details

Details for the file lp_sparsemap-1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lp_sparsemap-1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ad41051c9dabd6c5c8c5ebe784f4c70ce01d72fb839940af799ab8953680dd83
MD5 2569461967055a1b2c0e8c50cca48640
BLAKE2b-256 622088249baea99d6fc2df9df5baafad61c278474a00ce1179fa43c36d30d181

See more details on using hashes here.

File details

Details for the file lp_sparsemap-1.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: lp_sparsemap-1.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for lp_sparsemap-1.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2a4a78722ed2fe838eb8d9ae9426a2681186e0f0f9e58ecca33b0cd43f61efbd
MD5 e48867b957f823e0b148268511f42605
BLAKE2b-256 70eb3df000b98afd4afd6bd5d5034cb9adda2f683ded59e56b2f39653c28afe8

See more details on using hashes here.

File details

Details for the file lp_sparsemap-1.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: lp_sparsemap-1.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for lp_sparsemap-1.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0a8e9a6f362f0a5946f0f1329837bca388844df0220feeee070f0005b41676b4
MD5 f43145e2685a29aae4cf6da7bca46c0c
BLAKE2b-256 0f48c99e0194189f1d6ea5a5390671da38af35e790a2f8aef90eab3904dc7b8d

See more details on using hashes here.

File details

Details for the file lp_sparsemap-1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lp_sparsemap-1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b9c6a1b730fd2146c8e45714570cc05ebbe7582816ebef23726cac5dee9516f
MD5 cca991553421ba3b34f827a4db9f72f8
BLAKE2b-256 00dfa6d88bdd9ed3e3a3f9e8e611ac8a9691836c32157706d3670a88326aaf86

See more details on using hashes here.

File details

Details for the file lp_sparsemap-1.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: lp_sparsemap-1.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for lp_sparsemap-1.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c3c5528b22091b2d73dafe3aa96d8d716bc7d08fb0833b707545c44a83427c9c
MD5 e3c69b1680b67045920f1bbae8a2f380
BLAKE2b-256 7921cfaa1b2b43050ecf823f01d78e41b107703866ce03d5114f04813d8e6e61

See more details on using hashes here.

File details

Details for the file lp_sparsemap-1.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: lp_sparsemap-1.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for lp_sparsemap-1.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aaee26aa312c1d921e1d88005ac3130a8e998941f8526630217972ee6671b2e6
MD5 b883e912d5dd6798b9cb08afa2a8f3f3
BLAKE2b-256 e9fa64179695dcd9b835d3d26e345816e24fffdb45bdec700ad651b48f9c4275

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