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

0.15.0

0.14.1

0.13.1

0.13.0

0.12.0

This version

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-0.11.0.tar.gz (62.0 kB view details)

Uploaded Source

Built Distributions

libdaw-0.11.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

libdaw-0.11.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

libdaw-0.11.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

libdaw-0.11.0-cp312-none-win_amd64.whl (611.6 kB view details)

Uploaded CPython 3.12 Windows x86-64

libdaw-0.11.0-cp312-none-win32.whl (563.5 kB view details)

Uploaded CPython 3.12 Windows x86

libdaw-0.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

libdaw-0.11.0-cp312-cp312-macosx_11_0_arm64.whl (729.6 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

libdaw-0.11.0-cp312-cp312-macosx_10_12_x86_64.whl (746.3 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

libdaw-0.11.0-cp311-none-win_amd64.whl (614.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

libdaw-0.11.0-cp311-none-win32.whl (560.1 kB view details)

Uploaded CPython 3.11 Windows x86

libdaw-0.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

libdaw-0.11.0-cp311-cp311-macosx_11_0_arm64.whl (721.6 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

libdaw-0.11.0-cp311-cp311-macosx_10_12_x86_64.whl (744.1 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

libdaw-0.11.0-cp310-none-win_amd64.whl (614.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

libdaw-0.11.0-cp310-none-win32.whl (560.3 kB view details)

Uploaded CPython 3.10 Windows x86

libdaw-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

libdaw-0.11.0-cp310-cp310-macosx_11_0_arm64.whl (721.7 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

libdaw-0.11.0-cp310-cp310-macosx_10_12_x86_64.whl (744.0 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

libdaw-0.11.0-cp39-none-win_amd64.whl (614.2 kB view details)

Uploaded CPython 3.9 Windows x86-64

libdaw-0.11.0-cp39-none-win32.whl (561.0 kB view details)

Uploaded CPython 3.9 Windows x86

libdaw-0.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

libdaw-0.11.0-cp39-cp39-macosx_11_0_arm64.whl (722.7 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

libdaw-0.11.0-cp39-cp39-macosx_10_12_x86_64.whl (744.8 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

libdaw-0.11.0-cp38-none-win_amd64.whl (614.2 kB view details)

Uploaded CPython 3.8 Windows x86-64

libdaw-0.11.0-cp38-none-win32.whl (561.0 kB view details)

Uploaded CPython 3.8 Windows x86

libdaw-0.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

libdaw-0.11.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

File details

Details for the file libdaw-0.11.0.tar.gz.

File metadata

  • Download URL: libdaw-0.11.0.tar.gz
  • Upload date:
  • Size: 62.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for libdaw-0.11.0.tar.gz
Algorithm Hash digest
SHA256 9e4b917b446f025ad3e515f98bee4c27ad8ff9d56410e896b9397479126e80a6
MD5 b789eb4563ab26a144ebf1b951a95530
BLAKE2b-256 281bae9238615afa3b5d33b0a422b21a910b9704f3b6adb13e392ad6422b97af

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bbe8515fb84959a74ed70f45e613aa830fd8d24dbd6e35de563d39c820ca4e5a
MD5 69decedc5a031fda428f351de4da3fd4
BLAKE2b-256 359244431bde5e09765a964aa77a603e2bcf61392795b7dd6b322de3e8c90229

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 94cc6a7a72cdfd1a79faffa7b4f57c3a31365a8fba42608f0159ada847bae8ae
MD5 7ad5080b39e224344ea2a805022bad5a
BLAKE2b-256 72cf501766489824e2e7a9f2d7a9b24a41e7dd22b1768971718f50322d0dcac6

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c67cd755ed2ace0eefc7a4f79859a72ad4bf5e1c0b9b3250d0eb1c4194b56f83
MD5 b616f428b3d60f6f2a4ad572f9f10461
BLAKE2b-256 2a67297650baadf22574c4543c565e1e76da155386196f2da32cef5fd8a3fe50

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e92093577bb815722b499890952f9373ce87ac871c63e821598bce079440c436
MD5 b8ae714a1023a75b1ee1538386944de7
BLAKE2b-256 acc3812afaff6f00eb6a7c55d0b8bdee9b0557b3dd8920a332914c1d0c9b8422

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4b25ee88359afb916e3965031d9e270ddd683c1044f1ccf2be4c7db1c17be910
MD5 77ecef5b514954371a5b57706bb17f05
BLAKE2b-256 63beac09c097339cf98f6d43a6b23035b2ce21be9b48e053094c7160e7e82578

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f298e5985609f75b2e462862c430b70a8b5b3caf93d2428a2f8b999652c4d831
MD5 804746e00c9248fd3de37ad03e3447ee
BLAKE2b-256 7ea9adcc636f5e5285f985300b6e1ab1379557fe3f5a8def6c7a5b378b9dfbb3

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 8c672767e72a0f3113bd0e907cc88644c70da0ec01c9420ea9cdb6650b79d422
MD5 9cdf7e540fdb40c0e167bedceda88188
BLAKE2b-256 79298fbe659de0dace2254beb5d530b06a5201d5d3faf77f4c4b838d82eccd0c

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp312-none-win32.whl.

File metadata

  • Download URL: libdaw-0.11.0-cp312-none-win32.whl
  • Upload date:
  • Size: 563.5 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for libdaw-0.11.0-cp312-none-win32.whl
Algorithm Hash digest
SHA256 1971ae5d77aa36249203e8673ee4f8657dbe5a95607af091113d9a33b08653f8
MD5 2ba346cdc92c55f78dc70e6d17ed26f4
BLAKE2b-256 93da7b06201d7bf8cd35b0485be296bde8a379796c658427a27691f859b18c8d

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3da877489169e6537932c39c4cb7a5c641d1dcee93af749f74f2cae1e890feec
MD5 b59cdd68cabc605775d91f8ef0e39cfe
BLAKE2b-256 0aa6ca953bd58049feb506c65de1cc2f9a0089ce48174f3b347892616b660a44

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1a0ac096d4008f524331e404ab0036e1952f73e108816b81f4f87925ad949c8b
MD5 e1bc6ebe8c741aa05f1ddbae981c5fe0
BLAKE2b-256 aaf831be8a2308fb05f12df1b00372572bb0e936ba75aecc4c7381449c4cfcd0

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 da6105d4ac5952c294bae27ba09e19f8802aa292747661aea8f092757996efd5
MD5 4b48d5c15fb4f0376dc160b938363fde
BLAKE2b-256 7e8125581c29b8bf0fc5c46baf4eb2e4bc3465e72af8ad2852f17eec61d06352

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d924a0fcc1645119fd240bc8821e3b1e21184c15ba086190abd1b93da603d7f5
MD5 ccc6dadb1b8876afb3db65c8a57dfa93
BLAKE2b-256 277504e6fb154fc927b27fd7605e789a4e86abbe9979780d2df2e73ed28ac0e3

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 6bf330b6a741bde0128d08dab8d83d780eb8d5f30418ea9e48c37820cf12e284
MD5 043321967ff04ca81bc1d39969bca351
BLAKE2b-256 4e8c651cfa8e84e558b17147d6bb8f0836fb1906e6b90b7f3a602c6b2efb4b83

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp311-none-win32.whl.

File metadata

  • Download URL: libdaw-0.11.0-cp311-none-win32.whl
  • Upload date:
  • Size: 560.1 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for libdaw-0.11.0-cp311-none-win32.whl
Algorithm Hash digest
SHA256 dd5e833db014f187ccc6504071285002a3d497b015647c3366955608ef4b308c
MD5 27df644c01094b5bf8355ca3317e8a66
BLAKE2b-256 08a4da15036cd7ebd67bda7e2ffce38b5ed8251e40177d022adb5cf6cf0c5078

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a338984b280920108c47b97e1f761d0bbfad009b56d408555258f2c8ca3ee3f1
MD5 e3474ba61ada0c53f4b5ad9c6090c8ba
BLAKE2b-256 f31dcdb8c3653e5ee4fed0b14160ea8445b0933aae41fdbe86d5b12ebb2f1bf7

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7e9251cf98d6a8efcc1088ed4c2007608a49272506e5f8aab84f0f58e8687ff0
MD5 c5431589fbb882676e796bbbe2ead94f
BLAKE2b-256 7931211a82b5648860054a1b6a92b2946254d96518f0f47c29ca3af5e375479e

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5b1b7835ca80d0895ae4c53e18fdc0d64f8d7976a25b00f469d4f83815e7bb10
MD5 f6bb7850121aa1b1a8ca3c1dffc0b83b
BLAKE2b-256 29d2f342208cab915db286fcb91a4d67f4f9f89cc8decc63db50ef5246089427

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 83f57a83a7bcdf69f662e0fa0595cca3a860951cf63f5c749e703e99afc6ece9
MD5 c87c33f482b55548debd8c29cbec5964
BLAKE2b-256 7e75d3a1fb445b55326a5d9f8e0c7620a220639cf4046f35686e3613fb9d0ff1

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 39f00b71b500f334df7a61c45591bcf735aa53eb10e2b66fe13574179b161f65
MD5 729eb0b451a543141a9226017887d204
BLAKE2b-256 18f83ad7e10d4560a022ebd5d9f13366a0d6984148d07ba694380e6745682916

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp310-none-win32.whl.

File metadata

  • Download URL: libdaw-0.11.0-cp310-none-win32.whl
  • Upload date:
  • Size: 560.3 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for libdaw-0.11.0-cp310-none-win32.whl
Algorithm Hash digest
SHA256 38cb8468d45a3c4c7c7f75706ab320bea77645f1920a3a02a91cfbd5eb71e525
MD5 70b8b6f9911f565ece56f8e6d82445bf
BLAKE2b-256 c3213ee3d9db60044c75a5febacc7f2de6a1258b8402ef5758e4b8cd28c960b5

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b0394c7391518c875e7b927938c677017b8a2296f4c29dcea2c2c7d40f92e054
MD5 39bb6edead99830fecfd0ba09355ba16
BLAKE2b-256 8f469a9bd0e059dfc96c74fbe13ad913eda198cf2ba9233ab677a22f91569fb3

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 93c6e216b368057cd7a2daf28854ccd082b7646daf9f0c1a0569ee25d6db796a
MD5 acce41afd3a4c8fae66cf89737e78443
BLAKE2b-256 9cae7c725b4fa56d3d1288fd231cf41384dfdf94902217343594799a6e456cd8

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0f2e8166435aa3056eaa218a5d5b3b12168bf91bf3112124023098812e77c59e
MD5 659f067afae937e36fc4571d3618067f
BLAKE2b-256 e63870e8ffc699e0d0faa673964f75f78c4c03db6f0b59d8b4a7da2d20dac80a

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 01f7baf6f0b3bce49b463b81ab252cadaff3d38b04c51dae2fcfce7e40a6fdbe
MD5 971facb8549bf5e8ceaf354ea9627fa7
BLAKE2b-256 4b056c3ae4bcde49dab6f33cf0db882c1d5c4b8a13f6716841c176d6132fa33c

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 a0c263d0e38900c37bb6c7b61808dbf3d90490af969ee06ab39fe7787365e5eb
MD5 191f08a5334beb5a0df6dede2f4b6507
BLAKE2b-256 de9542a0e120cde719afefb56a49c7339d38eff4e8d32c1c0044a4a85eb162ea

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp39-none-win32.whl.

File metadata

  • Download URL: libdaw-0.11.0-cp39-none-win32.whl
  • Upload date:
  • Size: 561.0 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for libdaw-0.11.0-cp39-none-win32.whl
Algorithm Hash digest
SHA256 ea789cec30f58f1b4254e74d32c3bb3d79408a32a066bd386c25ee1ed8404f92
MD5 b32ff0b0962f5d8abc16b17bdb035376
BLAKE2b-256 5b5b0f1551fe37fc91e3c613073dc2862a91cdf18cb2c371a774efbc1fb02b81

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f108d1eb87fd2998caa3578957d455d06aa4981732ad3eec9d83b4d7f659676b
MD5 21b20bccb1a919d5926d4dde86a7f8b2
BLAKE2b-256 c2f8e4829587bb367a9d8ff1150d9561390940009a7b976c6760fb6355bd8119

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 aa967786bae9c872efa7830549ffdcb84324021f95d9713aae4f3f69e0a25f2c
MD5 401ca7c903db63c3792b5f77da431d67
BLAKE2b-256 65d648672829089e4ff06910a984b5e45ba9833be1dff4acfe71167e45ae2c30

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 aec1391afa80a6c9d6521a12aefb35a5db71dc5dcc3bd13f0ef17b367418060e
MD5 47dd8f491898ac9417df39931135de00
BLAKE2b-256 32cd65646911969ca620067212e426413f3895e34064ecd8291b4fc98f96e661

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 b76384aad22b9fcb286977802753fd99e25fa7ef3a21992ac8cc3e3af0220f1d
MD5 d4939d7061dd36b06fd01aedcc8e7214
BLAKE2b-256 ac3ee86fff876c01ce07667cc77c66e892eadc43ff22481899548bbe96092592

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 f908d3672675ef12ce708cf92394b91bf9790d9b9d22da6d82815d565a29348c
MD5 645a5dd83a9a33d5ebb8f6993d5f0cab
BLAKE2b-256 7195d7cdc0eec077fdf2e24ca0d707a9c142988ca2f036a2d2c2c248bf9255eb

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp38-none-win32.whl.

File metadata

  • Download URL: libdaw-0.11.0-cp38-none-win32.whl
  • Upload date:
  • Size: 561.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for libdaw-0.11.0-cp38-none-win32.whl
Algorithm Hash digest
SHA256 01988cfe88fe5dfa74f69902d36c0878ef7a2ae1385cb3f368d6c91e78d57371
MD5 f80a1e4301c508e206472e7edfef1834
BLAKE2b-256 8e9384950287228bfcfa9110484734ec0503318332a8b3717621e1879ef78045

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4c3823a14f37dd8c8e1566626e28bf7eae536f6cfed92f5edb856e6f93ffcbc7
MD5 646c13f31eec4c1c98b67c4f99937355
BLAKE2b-256 44790f9d5a60c5ca065f0836ff59042ccc768eb0b61c4296b25bb1bd689dbee1

See more details on using hashes here.

File details

Details for the file libdaw-0.11.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for libdaw-0.11.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 40c6e67f297291e2aa18a8cd8d89155744cacee4ffe34b32a2cf0791677cb8a2
MD5 525bf418395740306a1b1ac0064f07b3
BLAKE2b-256 2b5aafef851cf61735d8335b459afbb670690021cb3efffac3dae94ff7ddf942

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