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_g4-0.2.4-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_g4-0.2.4-cp39-cp39-macosx_10_15_x86_64.whl (43.0 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

gam_g4-0.2.4-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_g4-0.2.4-cp38-cp38-macosx_10_15_x86_64.whl (43.0 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

gam_g4-0.2.4-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_g4-0.2.4-cp37-cp37m-macosx_10_15_x86_64.whl (43.0 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

gam_g4-0.2.4-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_g4-0.2.4-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_g4-0.2.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b1a160868a9ce58fecdb46ef59fb83d9b55a4edd4f9322520a41c07ad8b0bd65
MD5 b4d000b3c05e3b9759334f0bba0df64f
BLAKE2b-256 f76fc506c5d85642b7248453900eb3316229d48a0481134e887a91c0fbc25eff

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.4-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.4-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_g4-0.2.4-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 9b73799489007d3659479a334f48ceaccd26a9457d0db9b2954f080758e8268d
MD5 842cfdb029457d7e7a0cd32a576be8ba
BLAKE2b-256 2124814097b67697614f68ac707e24ea4f8952d450f6ffff3d73809bb9170c53

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3e4521c8fdec375f26be10ef288e9b564d026326a3e03628ff5d53632bcc205a
MD5 186d05892fcf7d6d6c2007ae4b556096
BLAKE2b-256 92165bb52528a9d01d85660bb8b6b14f9b8e563adeb788916301ea12231adf30

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.4-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.4-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_g4-0.2.4-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 379d7239b5334c99824421d2c15f03ad16156f743b35f284dc778080cc3062dc
MD5 8f60b91acc77cb065b929aa80834599b
BLAKE2b-256 50250d3bf88bea7cff26ae930c7a720b19f7ccde9898cbcd32fcfbc26f3d8384

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a12a93a85656221d8627a014036708212311c9883c2df9ab7f9d4b70945d4865
MD5 e12784fce73c09ab6994122c48342c7a
BLAKE2b-256 99f1110a67fec4ac3968b71da8efa9305c6a8a80179865b9b2dfb9626d5ee1fb

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.4-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.4-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_g4-0.2.4-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 449662a48c613df0444978883a7788b9ef3b7517cda13991d20ae96b8a675af5
MD5 fc942a5dad2001630f9c107a99689d46
BLAKE2b-256 08640f094fe7777644cbb1dc9cf8a6a4666fa8a590df4e00c76ddb82ca782cb3

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for gam_g4-0.2.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4da704f8f12e4a24224e732100454421c4453a1211b5cf28af3ae70f11f5dbe8
MD5 98779ed7061841f2a9b4117c344c6b5c
BLAKE2b-256 b2db24dcab2f03b0622b0f587cc00d296eb5cca5a74a6f6b5dfb90265f57f9ce

See more details on using hashes here.

File details

Details for the file gam_g4-0.2.4-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: gam_g4-0.2.4-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_g4-0.2.4-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 41427916d967b53f477b959b1abd69391f1d982b9f8f1fb81bc0edb8413a47e3
MD5 79df37afeab6f9385f26b6d6cac1391a
BLAKE2b-256 79c3a73766301635fa91b94036d6dfc243a884e95713c464e7e860d54122f6e9

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