Skip to main content

A test project using pybind11 and CMake

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.

gam_g4-0.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (47.0 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

gam_g4-0.2.3-cp39-cp39-macosx_10_15_x86_64.whl (43.0 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

gam_g4-0.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (47.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

gam_g4-0.2.3-cp38-cp38-macosx_10_15_x86_64.whl (43.0 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

gam_g4-0.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (47.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

gam_g4-0.2.3-cp37-cp37m-macosx_10_15_x86_64.whl (43.0 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

gam_g4-0.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (47.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64

gam_g4-0.2.3-cp36-cp36m-macosx_10_15_x86_64.whl (43.0 MB view details)

Uploaded CPython 3.6mmacOS 10.15+ x86-64

File details

Details for the file gam_g4-0.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a1fb537d809272ed3cba6d189a94443f28799fd4638aba66565668d596a8e26f
MD5 58b6797a7a3d0984617f1904745a11db
BLAKE2b-256 8129216aca794d898c6f2ec8b5d919fae2de12e924aa250efe5964071e33f4d5

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.3-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.3-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 43.0 MB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for gam_g4-0.2.3-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 dd4c0dd259172997873162aa1d5a08a44ed02d0c81afebaccf91cad80987b2e3
MD5 585f38abc578465ddc79b88866ed93e9
BLAKE2b-256 02d8982be3149085999da385af768fa30980b7f5867a0502dc4ee106fcbd79a6

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 90bd192dc588db45c1dbfb49129e1c6eed12d80ede08b10f92a2e8130876456d
MD5 eb87035071ccc81cf96a567d393e7da0
BLAKE2b-256 a97263368fbfc577415bd52f0943b54d26368f55b6a9a0df03851b7cbf4661c6

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.3-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.3-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 43.0 MB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for gam_g4-0.2.3-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 36081dd0bbd141183f9abde48b4fce715d2a2ef44be17c6a29c9608a437f5ab6
MD5 cb9a69433436f97c2a7b3846e303aea0
BLAKE2b-256 977e496103e3b2b9f20001fcf2b0291585f48c086df643ce3a156419e85049cb

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 991a3a008a2e56d053509b0ccdabb7b9d47a7822cf1bef41fd4881463bc6f141
MD5 407b01867e98634988873d2d757d1293
BLAKE2b-256 c121f8f273fc4666a04106512eaf8844432ff24bf1db3f2f45e6e4a921ccd40e

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.3-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.3-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 43.0 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for gam_g4-0.2.3-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 e6adf5fe357625e6390b75aeab5b98a29e1c33b1748798358afbe7b5f20418f4
MD5 fb06ce52b2e817d9780821fce8063114
BLAKE2b-256 5940de5649223cef1edbb1820d112d9200952d8c3f4730ecdf12033127b73fa9

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e02b5d92d1becc2ac69ed0e530c22cc0f10801651b8040498b067dd38c176dcd
MD5 1fb84f4ca890633b254416b57ddd666b
BLAKE2b-256 38a5d33ccad1c1be0942bda6fd1886bab357e9c4a1f76ee46c709af9e8042a64

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.3-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.3-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 43.0 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for gam_g4-0.2.3-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 cff18093ef07692db9d01aa24e72fe4c313eaaf3fe8e75a70ff4b8be642ec015
MD5 6ab1fea511ef217ede9ae911c99205fc
BLAKE2b-256 50aca1f978c47dec5130274ede62d4556d105c3663bec11068a9900a7afde983

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