No project description provided

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: Mozilla Public License 2.0 (MPL 2.0) (MPL 2.0)
  • Requires: Python >=3.8
Classifiers

Project description

libdaw

This is a python package for making music. It is backed by the libdaw Rust crate.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: Mozilla Public License 2.0 (MPL 2.0) (MPL 2.0)
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.17.0

0.16.0

0.15.1

This version

0.15.0

0.14.1

0.13.1

0.13.0

0.12.0

0.11.0

0.9.1

0.8.0

0.7.0

0.6.0

0.5.0

0.4.0

0.3.0

0.2.4

0.2.3

0.2.2

0.2.1

0.0.1

Download files

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

Source Distribution

libdaw-0.15.0.tar.gz (116.7 kB view details)

Uploaded Source

Built Distributions

libdaw-0.15.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

libdaw-0.15.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

libdaw-0.15.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

libdaw-0.15.0-cp312-none-win_amd64.whl (643.4 kB view details)

Uploaded CPython 3.12 Windows x86-64

libdaw-0.15.0-cp312-none-win32.whl (596.6 kB view details)

Uploaded CPython 3.12 Windows x86

libdaw-0.15.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

libdaw-0.15.0-cp312-cp312-macosx_11_0_arm64.whl (759.3 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

libdaw-0.15.0-cp312-cp312-macosx_10_12_x86_64.whl (773.2 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

libdaw-0.15.0-cp311-none-win_amd64.whl (646.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

libdaw-0.15.0-cp311-none-win32.whl (594.5 kB view details)

Uploaded CPython 3.11 Windows x86

libdaw-0.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

libdaw-0.15.0-cp311-cp311-macosx_11_0_arm64.whl (752.1 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

libdaw-0.15.0-cp311-cp311-macosx_10_12_x86_64.whl (767.3 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

libdaw-0.15.0-cp310-none-win_amd64.whl (646.1 kB view details)

Uploaded CPython 3.10 Windows x86-64

libdaw-0.15.0-cp310-none-win32.whl (592.2 kB view details)

Uploaded CPython 3.10 Windows x86

libdaw-0.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

libdaw-0.15.0-cp310-cp310-macosx_11_0_arm64.whl (752.2 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

libdaw-0.15.0-cp310-cp310-macosx_10_12_x86_64.whl (767.3 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

libdaw-0.15.0-cp39-none-win_amd64.whl (646.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

libdaw-0.15.0-cp39-none-win32.whl (592.8 kB view details)

Uploaded CPython 3.9 Windows x86

libdaw-0.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

libdaw-0.15.0-cp39-cp39-macosx_11_0_arm64.whl (752.7 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

libdaw-0.15.0-cp39-cp39-macosx_10_12_x86_64.whl (768.6 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

libdaw-0.15.0-cp38-none-win_amd64.whl (645.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

libdaw-0.15.0-cp38-none-win32.whl (592.6 kB view details)

Uploaded CPython 3.8 Windows x86

libdaw-0.15.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

libdaw-0.15.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

File details

Details for the file libdaw-0.15.0.tar.gz.

File metadata

  • Download URL: libdaw-0.15.0.tar.gz
  • Upload date:
  • Size: 116.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.6.0

File hashes

Hashes for libdaw-0.15.0.tar.gz
Algorithm Hash digest
SHA256 338a2d7b90f5b1954780b995bda2d7443dbf33d89d6ef151e4868adee38bb8a0
MD5 82aff4c6698f6aa3e2938661b3afc14e
BLAKE2b-256 a8c97228166636abf0e01c1a42fcc819854b4e6646e8df537e3d5c43505567f8

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b959b8eb84741a8267dd3166238542a52d2d735c5f543f958eed42ce4734577b
MD5 61a177ba9054485f789ff57129e6188b
BLAKE2b-256 d2432f72f5b39215a5736e1247dd61456cf9d72a29e561da4bd560d44dd0dec8

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1882803b1eee598b4c229d05f354cf14dce28a953efc242abd0eb67d69ffb24f
MD5 2b48070521a1b0ca054902ab2d60cc4c
BLAKE2b-256 dcf6e46d9e2ee530038c2da54f2c89962b056cbcd871139605fdc8af5bbdcf73

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d500a2e03da9a19456237cbbde226671dfb930cc73ddacb97be8e1def7026c4c
MD5 354d7849e5d7c985459e9190276bc3b0
BLAKE2b-256 df19b33e83227c0b03128c7754e6fec641318e873c517271ad81175472d7384d

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 51082c717bc9bbf3745c1531bc88287bae5446999311f610d571a70143c0fb71
MD5 4be7581e79c04b2593e26f8aba74374c
BLAKE2b-256 5f1360c2bd8ccee20408a4be81429e93312843fce1fcd270569bd94bbf1c3ad3

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a5377a30abb1fdd36919ecb9ce13c2f5ea86f5d2e5f50e19705fd64d6d78d66f
MD5 8fb7b00fdc610b603acdef80d655c6e7
BLAKE2b-256 18846eeb31d8fccab21e62f1d4616414092a83d449335ad1471760849b5ab1c8

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2d398b90e3832ecaa9230f9c8fd2f9b1ddd9993e259568816033b067261335f9
MD5 47b1a0e290364e6f1f2597bd409af7df
BLAKE2b-256 9d735da356ebb40d30a8c8e7e4ee844599987ba6cc1800adfae7bb584642060c

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 8dd0c18379155b6746c290c48d2848ed6dbe078404ac2966988af15dd248c0db
MD5 91a95e4296e23d7c5a7cd66336ee2680
BLAKE2b-256 54bee1d94bbaf354cd67bb91aa6af253e71788a97aa8751d92eba6ab7c83babb

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp312-none-win32.whl.

File metadata

  • Download URL: libdaw-0.15.0-cp312-none-win32.whl
  • Upload date:
  • Size: 596.6 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.6.0

File hashes

Hashes for libdaw-0.15.0-cp312-none-win32.whl
Algorithm Hash digest
SHA256 138c4e07ed10209aa16b5496d1126b97f77e7cddf2d935164a8e1f8e69f1a656
MD5 a8fdfb2ad958d04681a24202dc6b0c60
BLAKE2b-256 3c0237921d3b89f3ccdeae978f960db07d7a6069ceb1560df8797cefb1e006e1

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a09c72f1efc043844c21475e4871a77538fb9440e3683bdc07d4d67a24b81753
MD5 b51d84abd411d9101ac15a077e9cbd8f
BLAKE2b-256 169ca901bbf97968b1528c51e307bb4daf92181547070bc3dbf1be52df7026bb

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 555893b6846b1c9b16eb0ffd1febab24b0603eeefb61a3bc569fa5667e1ccf03
MD5 fdde63d698023b9968bec6b23fb69ae8
BLAKE2b-256 16c22962eb0b7a5f4bb439febbf700ba29adfe1b6b74f41cb82724d61ea780f1

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 20e159f0825851aac809602728d264190208b139727f9088e7627b454059900a
MD5 d4ca85bd5d62a1f2d0c4004da5ee9baf
BLAKE2b-256 5378dcdf9e13b50188128cb84b986267ec146be2e362e286f9a16ed1c3a389c2

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 8690917d55a088888768feccc065affae949210e37bcc8aedf131b5f955b7bb8
MD5 26dd67221af961604fa3f8474338d6b0
BLAKE2b-256 e34dc9bd8a220169ae718b7e7c4c031619091487de7a01cc9080f8e068db183f

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 75573ad4ae40342340666fa2feb75116b39ed5160d1d1f8d5077664aeaba3e25
MD5 ce51eed7d0812746aef3e2d2dfc2b3ab
BLAKE2b-256 3e6ebd4e045fca1fe891bc050958cc6f38f57b126910c4f46aec8c3794e73703

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp311-none-win32.whl.

File metadata

  • Download URL: libdaw-0.15.0-cp311-none-win32.whl
  • Upload date:
  • Size: 594.5 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.6.0

File hashes

Hashes for libdaw-0.15.0-cp311-none-win32.whl
Algorithm Hash digest
SHA256 9feec50194e41e2ff63c226cf20624fffbb6315590d413037d61f4877d90308d
MD5 da520eef0f0f384bdab8920b806cb118
BLAKE2b-256 af73fd28061bcb9deda89f053139c3449b427c68ad2b8e22aa537bc57933c2dd

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 37d5032a0b9508f21c6e59faec92581a0873792fd2c1894762d4725444cdfbb9
MD5 385427b9ee612db0aa01056c41aeef4e
BLAKE2b-256 2142848c5a01fb2bc7dd2b3b88e6818ded523c6d7b5a569bab9d6c0f91183e95

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 33fb5d03a6c96d0b1905934090801e98519eb96ca17ae7201b84e082604d4dc5
MD5 38fb524aba0a1bef344feafbeac01417
BLAKE2b-256 411414ee94ccd2715aca579dc81a4ef74a7efbf0777bb6964b99f0d2f5460e6c

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 40a438e6a235c0c6fe82eb36353c0595f945999b0babd5a8f56d0746abca2e24
MD5 77747c7c5408ac865276e9b7486991f8
BLAKE2b-256 5195223b0e728663404ba1cdd46094ff76391a6d57653f359d34793392d56a00

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 340c90f2e3647ae4dee0c86804ec617fed7b463edcbc412742fd5b711a552fd6
MD5 f8f8d98b72cfade4ddefa0593a6c3477
BLAKE2b-256 c0f133eb70457b872a2fe6aced95531c6f7f717a768ffe188d1af02056375247

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 5442af64b7c5b635f2473506525c84671ae2f952affcb9200f80f8759e571db5
MD5 51fc78ad9ce282a69a9b3c5fb456d548
BLAKE2b-256 110fb8138bd3e617ec7fc260863d6f4255f12ac63f8f2717fa2457df044e8502

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp310-none-win32.whl.

File metadata

  • Download URL: libdaw-0.15.0-cp310-none-win32.whl
  • Upload date:
  • Size: 592.2 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.6.0

File hashes

Hashes for libdaw-0.15.0-cp310-none-win32.whl
Algorithm Hash digest
SHA256 8614a67c636a46573d7ce393553d9bebc436f1e5905a636892b85eb6d004b117
MD5 2e7cf59c3ee4b7320392441da64effc0
BLAKE2b-256 11a7c3060a9b09d260eaf2e30144f0ae3e39eb26b6a3d9e06afa3ac2b39c221d

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cb8c7861637f033200f8cf8c45bd684bfa519a6df98f624065b7df27e0d3645b
MD5 43a43af83045deeac4a8f6e90f88f4d7
BLAKE2b-256 f05d9f4c2009bc057bce71d5286f8120289543f3896d7a9e4c5758777556358c

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4c43b4bb3c754768a0a17acce694b0172cddad22f8e49647097a7d62b5860678
MD5 a608df40c3daaea0312877d6a8a54762
BLAKE2b-256 93963146d04cc6738ed81e2feae9657e4ac02c5aa5b3c25d4da274b5e8493959

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 268edf81e1a0f605f6decea157e4ca9313429045f624a04cb463bc54992a904b
MD5 d7f2e4519c20c4781fa6aa0a5f22aed1
BLAKE2b-256 7b56a0ec4aa41fa3005fc92cedd203aa31536887c1fbc86a88942d27fc601be9

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 05bce5148a5827f1f068c0c83328950099353d06444b99a66e39263daba89a8f
MD5 59ec87a895be60af3c242860d3fb2962
BLAKE2b-256 631ca707a9b334a8d4f22a8a7243a03600321783087a2872a8c6491ae03ad7ce

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 4d159cc6214907cacc07324e92f78cdf0c2c45c7419acbd8fc7614e3cceea920
MD5 0e2f9e28c64f87186cba16d1a44f3895
BLAKE2b-256 1e0b8e4e9bb231300e9fab3e6e9b42982e8272b17cd8a21096eae42eb2b6daf3

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp39-none-win32.whl.

File metadata

  • Download URL: libdaw-0.15.0-cp39-none-win32.whl
  • Upload date:
  • Size: 592.8 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.6.0

File hashes

Hashes for libdaw-0.15.0-cp39-none-win32.whl
Algorithm Hash digest
SHA256 5034567f561807adf88e99fd16db9894574abfe898e224cb38330a0cc2ce156c
MD5 28989a2f19053747953816071b2a0bbe
BLAKE2b-256 8fffba0ee8cc5c08bb0e0b553c874a17c63329fe0189eded54ee2917464d4c5f

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1de4036879617ea9c973aa0466e819fd2dd8c03300c51f48e9be73ad6d6266ab
MD5 2d1927560457e4c94e053ab445ace5c6
BLAKE2b-256 946817ac16b45c5f78fff27e3eb32ed40010a2e5095c723e2d7705b2beb96f85

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fc9a1d91221915776155fb879d96f0e85560c24efeb97556aab0422f1014bd3e
MD5 517dd3402d58257d7ec8d1b9dfb92e9b
BLAKE2b-256 bc4477d240297398420ae529fcf6fe55398c813b482da885b40b123c9cdce6f6

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a7010d38a6b45b04f6226059183e9ebf08ffaff60d18634e099a6ab78f0cfbfb
MD5 c1a7755911587c08d8e972f64b2a8c79
BLAKE2b-256 ae4ec79a364ec6dc25230804becfdc3631c959193e8bc20ed2be6c120604bf97

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 060ea3b87abf3b8ca6417b9fa48ef4fe22750a0b0f3204efd8ee380ec051aa2f
MD5 77e415e8484a3cb68f444716ea041727
BLAKE2b-256 17a2c546cc3738ed3430b0944ead2341166fddf17551e09d7b7914793bc530d4

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 af7a3a90a0ecc5a578e3b5cda6f1cc6378b4912088f1f934d21609f9d8442ed2
MD5 2c545b592538fe3d9bf659ad2048f5f6
BLAKE2b-256 db716b2a119773b37c26f4495a9e5065642775818d5ce75651f61e410b6b6769

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp38-none-win32.whl.

File metadata

  • Download URL: libdaw-0.15.0-cp38-none-win32.whl
  • Upload date:
  • Size: 592.6 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.6.0

File hashes

Hashes for libdaw-0.15.0-cp38-none-win32.whl
Algorithm Hash digest
SHA256 e17ee06e8babe202728130c334ffaa992dae0bdcef6c92a654696e495544cb21
MD5 55811f8147db926d4e950503e2640421
BLAKE2b-256 599776282ed9216ee73cc9744c12ce8b454a201d3e522b837b439662dd1594eb

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 31199b7f215f4bc1cb7ffc417a3449554a1128e50c11fe7191a31294c659fc42
MD5 d2193f5cce960fefd6589436e5c2446f
BLAKE2b-256 3cd9d4ffae090c86d2701196b6893b3fea72fe944ad60f65eda1cff8b7feb622

See more details on using hashes here.

File details

Details for the file libdaw-0.15.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.15.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 960bb9d0bf99f8781f1acc56b0ee6d98b32c797449618bda0b0a2ee9a1009e95
MD5 e9c52ca003176a9665156fe1a2cce92d
BLAKE2b-256 37b71db4b2da7205a217c3fbf4a71c2edf2391ea67a3b236e711cfd1952666a2

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