Skip to main content

Tools for code-generating mathematical functions.

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.

wrenfold-0.3.1-cp313-cp313-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.13Windows x86-64

wrenfold-0.3.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.9 MB view details)

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

wrenfold-0.3.1-cp313-cp313-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

wrenfold-0.3.1-cp312-cp312-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.12Windows x86-64

wrenfold-0.3.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.9 MB view details)

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

wrenfold-0.3.1-cp312-cp312-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

wrenfold-0.3.1-cp311-cp311-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.11Windows x86-64

wrenfold-0.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.9 MB view details)

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

wrenfold-0.3.1-cp311-cp311-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

wrenfold-0.3.1-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10Windows x86-64

wrenfold-0.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.9 MB view details)

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

wrenfold-0.3.1-cp310-cp310-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

wrenfold-0.3.1-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9Windows x86-64

wrenfold-0.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (1.9 MB view details)

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

wrenfold-0.3.1-cp39-cp39-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

File details

Details for the file wrenfold-0.3.1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: wrenfold-0.3.1-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 wrenfold-0.3.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 8a0b32c8ca229a0dfbab485f4f22e72fb7ff49289a8d9a26b82095fb5f442481
MD5 18df53e70b0fe519fb0820bd7f965f6b
BLAKE2b-256 454c89d7ad96cfc228cd2e859c57297379e5cc2fb3ce872a6f04eead4e1cf48b

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 6aed828cdf7302b59a88eba2c5213c1e96051aa8d2d48399dcd5e033345445bb
MD5 acf1bced2bb4ed6d0f11bfff44d38a89
BLAKE2b-256 4845fff0e536a4fff8438466d8f47a5bb7eafeca25e56d22ca5f845ec360883f

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4eac08fa65bfbd70eeccc7798c3747fd717c081ace0738ac2740093d14498eb1
MD5 cb2940f6332644e5df9a400b37e4d3c0
BLAKE2b-256 f32bb63c7c5f18537ec480894f709e1eb5b502292703743f718a2e4e15e0810b

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: wrenfold-0.3.1-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 wrenfold-0.3.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 562d316a217449b9e18b33f9bcc9283ce6b3114fc97d7360973a2b62db39abde
MD5 45dc00237b44187365f751d067a52237
BLAKE2b-256 c25693f118da28925336961c9b7149932ae5c4062b32111c9e5700f9c5c687ac

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 93894956adc9c70a16868aabbae8bcdbf8b8b53e67c5538efcabc73584f5bec2
MD5 8c880fe994610e82b256b2fe23224f49
BLAKE2b-256 fe04eb817eb432fbc639a5fa72b41adf9a85ba14d7eba1224a7518c8810811b4

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0be51398c440fed3cb29903e565460e122910d613a7080e45db0a409d1dc3635
MD5 d5267d390d4d329ea7cf75cb47c9e72c
BLAKE2b-256 0674be1f11a16b2fcbf18c43981318f216b56254a3c868cbb13a1cff9c99754e

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: wrenfold-0.3.1-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 wrenfold-0.3.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ea63b16917b263ef21fd17f082203b24a96705b36d8e3d8fa243fdbdfe6c8e3a
MD5 3bdea9ecce557d18e7d07324050ab492
BLAKE2b-256 2adc5ee77b1a21c34761412e4cae0dda79d1ec104ff264e6247e48da39ba94f8

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ce6c069d8248ff8feefc6ca9064b1bd4bec37e1edfe11befed368725330b5778
MD5 03bc8a5995989f8016e40d27f3b6d303
BLAKE2b-256 0d3768896b8f065a63d1a73fdc78eef495a77fe6b812b66e346c0a5b7957c840

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5a19b6e21a24ed671ed17f461122eab6b2d9ab45ef89cc51f9a00b2e9ce90f99
MD5 23002ba5f7c2ca8c96e87d396f778c16
BLAKE2b-256 f5bd348cf1f71730dbd4f3868896f50fcd6a9ee6c5a41d35e2fc1bb64cc4aaf4

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: wrenfold-0.3.1-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 wrenfold-0.3.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 000079732a8ed70f52c71ab919c152020f69f3095f2ee9cb54c8c98e0e395262
MD5 e6c6e72d4dc060da83835ca4f09112d4
BLAKE2b-256 f1f6f62648b9b8963ae3e014fe2f455bb19f091341fa905c3a4a936ca2c16d1e

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 279bc9500a4fdc90351cc1fe5dbe39bb4d917f99f450b8ee74e4313126792edd
MD5 c1f1a36acc495d6f4080dc629d6168bf
BLAKE2b-256 70d61c1ddf6dddbf94e69c1f456d6b36c148f6fed9be557fd2047ea64cb2f364

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d4fda3b35976e52e3f756bbd53b13c2f8fb89ba346d2ded854d0149f5750f8a7
MD5 4111144f87319acaa839c1c6609131f2
BLAKE2b-256 6ae913a63f5292e0364ecb284b829b04643a10496314d1b086ce3a800a25a503

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: wrenfold-0.3.1-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 wrenfold-0.3.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 45e550d9ce57df3fbc4e34cb48657cd2b45f06577f3d4502eef80ce127f1096d
MD5 e14ec57015888b61a3ccdb1faf397949
BLAKE2b-256 1a08ca3b8d4cfc7215a9e259c608d490036eec14440250f394aa7ac8ed2a2139

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4b97cab45056d4d4823b2ffe3f8ad00a7a61575197bbd387b5db7f525cd62773
MD5 4ab0bc9b5676e7f277ffd154430abc3d
BLAKE2b-256 14e91be27efac0ffccb817aa134f3dbd9d97ccf54a1ece890993fa2bdcecefa3

See more details on using hashes here.

File details

Details for the file wrenfold-0.3.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wrenfold-0.3.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fcf0fdff365da1df7d0fa7d20d91caf2421653a977f94095ca032d8117b37be0
MD5 81cc9302be219154ed28bbd7b87684cb
BLAKE2b-256 af89b5b9b50a796ff5433a2b143e4b82f531906843728a586170f8812b8403c9

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