Skip to main content

PyAYay is a Python extension wrapper for AY-3-8910 sound chip emulator

Project description

GitHub Actions Workflow Status GitHub Actions Workflow Status PyPI - License
PyPI Python Version from PEP 621 TOML PyPI - Wheel

PyAYay

PyAYay is a Python wrapper for the AY/YM sound chip emulator. Currently it supports only the Ayumi emulator by Peter Sovietov.

Installation

From PyPI

You can install the package from PyPI:

pip install pyayay

Yep, that's it!

From source

git clone https://github.com/ruguevara/pyayay.git
cd pyayay
pip install .

Or install in development mode:

git clone https://github.com/ruguevara/pyayay.git
cd pyayay
pip install -e .

Usage

from pyayay import Ayumi, ChipType, EnvShape

ay = Ayumi(sample_rate=44100, clock=1773400, type=ChipType.AY)
# or just Ayumi() for default values

Set panning for channels, for example in ACB order, and the master volume:

ay.set_pan(0, 0.25)  # A left
ay.set_pan(1, 0.75)  # B right
ay.set_pan(2, 0.5)   # C center

ay.set_master_volume(0.75)

Use setters to set the channel parameters. Do not forget to call set_mixer to enable the channel.

ay.set_mixer(0, True, False, False)  # Tone, Noise and Envelope for A channel
ay.set_tone_period(0, 100)
ay.set_volume(0, 15)

You can set the envelope shape and period, for example:

ay.set_mixer(0, True, False, True)  # Turn on envelope modulation for A channel
ay.set_envelope_shape(EnvShape.UP_DOWN_E)
ay.set_envelope_period(1024)

To generate sound use process_block method:

samples = 44100 * 2  # 2 seconds
outLeft  = np.zeros(samples, dtype=np.float32)
outRight = np.zeros(samples, dtype=np.float32)

ay.process_block(outLeft, outRight, samples)

Examples of using the R0-R13 registers and PSG rendering

You can use AY/YM registers R0-R13 directly:

ay.R[1] = 100
ay.R[0] = 0
ay.R[7] = 0b00111110
ay.R[8] = 15

or, to set number of register at once:

ay.set_registers(
    [1, 0, 7, 8],
    [100, 0, 0b00111110, 15]
)

or, to set some of the registers with the 'mask' array. NOTE that mask is inverted, so 1 means "do not change". This is useful for PSG frame playing.

# R           0  1    2  3  4  5  6  7   8   9  10 11 12 13
R = np.array([0, 100, 0, 0, 0, 0, 0, 62, 15, 0, 0, 0, 0, 0], dtype=np.uint8)
M = np.array([0, 0,   1, 1, 1, 1, 1, 0,  0,  1, 1, 1, 1, 1], dtype=bool)

ay.set_registers_masked(R, M)

And render PSG data from Numpy arrays in one call:

data = np.array([
    [249,   0, 148,   0,  40,   1,   3,  40,  13,  29,  13,  74,   0, 12],
    [249,   0, 158,   4,  40,   1,   3,  56,  13,  15,  13,  74,   0, 12]], dtype=np.uint8)
mask = np.array([
    [0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
    [1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1]], dtype=bool)
fps = 50
ay.render_psg(data, mask, outLeft, outRight, fps)

For more usage examples see tests.

License

We use MIT license, see LICENSE file.

Project details


Download files

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

Source Distribution

pyayay-0.1.1.tar.gz (19.7 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyayay-0.1.1-pp310-pypy310_pp73-win_amd64.whl (107.3 kB view details)

Uploaded PyPyWindows x86-64

pyayay-0.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (165.2 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pyayay-0.1.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (174.3 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pyayay-0.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl (126.9 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

pyayay-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (134.5 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

pyayay-0.1.1-pp39-pypy39_pp73-win_amd64.whl (107.3 kB view details)

Uploaded PyPyWindows x86-64

pyayay-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (165.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pyayay-0.1.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (174.2 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pyayay-0.1.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl (126.9 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

pyayay-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (134.5 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

pyayay-0.1.1-pp38-pypy38_pp73-win_amd64.whl (107.3 kB view details)

Uploaded PyPyWindows x86-64

pyayay-0.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (166.5 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

pyayay-0.1.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (175.2 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

pyayay-0.1.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl (127.0 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

pyayay-0.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (134.6 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

pyayay-0.1.1-cp312-cp312-win_amd64.whl (108.7 kB view details)

Uploaded CPython 3.12Windows x86-64

pyayay-0.1.1-cp312-cp312-win32.whl (92.8 kB view details)

Uploaded CPython 3.12Windows x86

pyayay-0.1.1-cp312-cp312-musllinux_1_1_x86_64.whl (687.0 kB view details)

Uploaded CPython 3.12musllinux: musl 1.1+ x86-64

pyayay-0.1.1-cp312-cp312-musllinux_1_1_i686.whl (747.2 kB view details)

Uploaded CPython 3.12musllinux: musl 1.1+ i686

pyayay-0.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (172.3 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pyayay-0.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (179.8 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686

pyayay-0.1.1-cp312-cp312-macosx_11_0_arm64.whl (130.5 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pyayay-0.1.1-cp312-cp312-macosx_10_9_x86_64.whl (136.3 kB view details)

Uploaded CPython 3.12macOS 10.9+ x86-64

pyayay-0.1.1-cp311-cp311-win_amd64.whl (108.3 kB view details)

Uploaded CPython 3.11Windows x86-64

pyayay-0.1.1-cp311-cp311-win32.whl (93.0 kB view details)

Uploaded CPython 3.11Windows x86

pyayay-0.1.1-cp311-cp311-musllinux_1_1_x86_64.whl (688.5 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ x86-64

pyayay-0.1.1-cp311-cp311-musllinux_1_1_i686.whl (749.8 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ i686

pyayay-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (172.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pyayay-0.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (180.0 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

pyayay-0.1.1-cp311-cp311-macosx_11_0_arm64.whl (131.1 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pyayay-0.1.1-cp311-cp311-macosx_10_9_x86_64.whl (136.1 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

pyayay-0.1.1-cp310-cp310-win_amd64.whl (107.6 kB view details)

Uploaded CPython 3.10Windows x86-64

pyayay-0.1.1-cp310-cp310-win32.whl (91.9 kB view details)

Uploaded CPython 3.10Windows x86

pyayay-0.1.1-cp310-cp310-musllinux_1_1_x86_64.whl (687.3 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

pyayay-0.1.1-cp310-cp310-musllinux_1_1_i686.whl (748.5 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

pyayay-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (172.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pyayay-0.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (179.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

pyayay-0.1.1-cp310-cp310-macosx_11_0_arm64.whl (129.7 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pyayay-0.1.1-cp310-cp310-macosx_10_9_x86_64.whl (134.4 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

pyayay-0.1.1-cp39-cp39-win_amd64.whl (104.9 kB view details)

Uploaded CPython 3.9Windows x86-64

pyayay-0.1.1-cp39-cp39-win32.whl (92.1 kB view details)

Uploaded CPython 3.9Windows x86

pyayay-0.1.1-cp39-cp39-musllinux_1_1_x86_64.whl (687.8 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

pyayay-0.1.1-cp39-cp39-musllinux_1_1_i686.whl (748.7 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

pyayay-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (172.5 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pyayay-0.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (179.5 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

pyayay-0.1.1-cp39-cp39-macosx_11_0_arm64.whl (129.9 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

pyayay-0.1.1-cp39-cp39-macosx_10_9_x86_64.whl (134.6 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

pyayay-0.1.1-cp38-cp38-win_amd64.whl (107.5 kB view details)

Uploaded CPython 3.8Windows x86-64

pyayay-0.1.1-cp38-cp38-win32.whl (92.0 kB view details)

Uploaded CPython 3.8Windows x86

pyayay-0.1.1-cp38-cp38-musllinux_1_1_x86_64.whl (687.3 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

pyayay-0.1.1-cp38-cp38-musllinux_1_1_i686.whl (748.2 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ i686

pyayay-0.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (172.0 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

pyayay-0.1.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (179.0 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

pyayay-0.1.1-cp38-cp38-macosx_11_0_arm64.whl (129.5 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

pyayay-0.1.1-cp38-cp38-macosx_10_9_x86_64.whl (134.2 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

File details

Details for the file pyayay-0.1.1.tar.gz.

File metadata

  • Download URL: pyayay-0.1.1.tar.gz
  • Upload date:
  • Size: 19.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1.tar.gz
Algorithm Hash digest
SHA256 9213f77598015de52c08f780d6286570b5e20d3c1fb0b8cd2cd48e774ee59c61
MD5 45ae8880eebf5c390f2d973395e1a0ea
BLAKE2b-256 ad2f4013ee8a6783e7fbfffd9b8af1a89562b040a7a036f438b1d30a7ef850c6

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 a3ba2063dcaccfdd9ba642f47dce826ab40e0b4a88d6beb1d36b36672929691a
MD5 6d439d58a7f0a735678c66a80ce19032
BLAKE2b-256 59db2aecb76f3b14f956d9064fcca70e850ce4983bce590b4fe9a4054884f8ca

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 519921fe8876bf1c01d6723269d03b7e03685b60c42054e4884032d1942b7866
MD5 b94a5b494af23e8fb8249bc72bf00e91
BLAKE2b-256 bb95f49c00ae132016c214b5ac4e67033ea33ac9539cffc5db68b6044eb40696

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ab4b4661e1563ffec84d53b458abe817ae5bb7fc4298486eb764bc09e667b096
MD5 bb8a3c1c7954943cb3e2d19577aa4e79
BLAKE2b-256 bb92cadd604ca3ac735f2a68665dbcc96ecd40974e4821418282cec971ff7359

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a914680635dd27c0fbb9a77c6dd5dd7aab7bbf22f683a773f161e66899e692a8
MD5 45b9f561c048a1a01ca124d265b9889b
BLAKE2b-256 1ff5dd01f3b24b11259f27332c35aeb99ef51db8352eab75678bb56054728628

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a448e0486bc7af38131157d2484aee4b25127350895a3b355b4c13f4be15f304
MD5 6797e2e68bee6bca1b75b911f53a8164
BLAKE2b-256 3fde1b2f6bff77dc93ee28df7fc8cc6c26582ade8c9d967143f73b2c4aba5377

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 49d1a3ac1f85f0b2e5eab7bb535be1be5150ee1e73574f48e005b9174cca600c
MD5 cedefccacdf7b78aee4a69152f73df6d
BLAKE2b-256 858a9d84fc3ba4040aa5572e07afb94b228acbbb646282fd7f52e18ab990c4af

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 afbfac63250a59d92e9319276f838eade7b296d41885208c6d7f46c24ef7d733
MD5 8b7622ffd97d246336409390a3e31e3c
BLAKE2b-256 7748faba965f9f2be966a7a0d56d2768c2d41d28b73021e42797596b47e63eae

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3303642cd9197edccf6f9724d0e24f62150c4f4b2ddc1f1d793ce82800aa9246
MD5 29b3ce4d62ccfd3d2d348c4d6ae6b3e4
BLAKE2b-256 0345d09f42232d301c2f7f088075498fb5f54e24e8aaf912ee676f481bebf803

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 52ffe339a97ba87ebd00baef52a31768c9870a1c20e69fcec5044fdcf43ad165
MD5 cb8a94e34a23026435775452d91b1f11
BLAKE2b-256 3112e5c6a26e6609c2be5804c27324f2968cafcbccba7d92f0330acef105e9e8

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a7195dbfa77cf4ff752df0d76fa69b7939026f33c0ea3b0f0c05c1c22370d1a5
MD5 41bd2f6591b0a037ec392b63d06557cb
BLAKE2b-256 8f5ed335e6dc35f0758a7691c140285baff010980b320bd593c860a4c516ebbc

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 3bc186ee44ead9062d5577799314b44461afc71027af223a581d3ec4cebd3a69
MD5 86228d65a4f70ca768c77875f470f11c
BLAKE2b-256 4c4355efe6c9b0402480784a451c6ba551e9278ab97cf8e1309cee6abb4f9727

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2b76925f119b3979633423164c5c8603aec0043ed98da992aebff0114d2773d9
MD5 e6dfcafa29eae0afbf472363d7b0c70f
BLAKE2b-256 5eb9f69afe2896c8950671ae5180d5ef105f5816a7a4bc4b78bd70388d1dbd8f

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2bb04d18883d8971bcb3ad6d89f89315f4a910550eae33b56c0b5c605277a60a
MD5 9dd6c1c00e6c50a0d465c16443efc3e2
BLAKE2b-256 12a9922671118b452be4612204f56d4d7e73261cf4af53c98b4337cb351a75e1

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 29bbfefed7c3aa752a96ccfaea7ac49353def24b6d8c40e7d4a71aee3967afae
MD5 2c1379291d71b7c4b77f65ea916748e5
BLAKE2b-256 fcfaa6c4393b4c82821f8f709bd4adca0e968c3bb2e4f2c2854dfc6c6048cdce

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ff719bd1cc958baa802b134a64847da1ac7e99bb2af1049952232c5dc95f4cd7
MD5 7b37af04328847149ecd0e47c9ac8646
BLAKE2b-256 77123821ab99a70711a32911cb94560702cedbcdd99dd338aa9e48f783e224a0

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 108.7 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 f15448f525908ab628acb4f508484294d16ee924f010f2ce996b3484c6339b3f
MD5 c5a0a368e1c9f5f37f65f6ce866fa9cb
BLAKE2b-256 dd37b1ff0990697927ef18804ac50ea4c4b4da2732dfaa997d904792c9f82841

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-win32.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 92.8 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 5707c232e4411cbb40a850fa3164f35e500b16c9947e6aa110ae530846fa2035
MD5 e0c5562142825212b6ee1652a987f7e3
BLAKE2b-256 edb78bf82d2c5e32634fd0e3eee7ee1ad3e36ef3cb36bb4cebc306bc7563be5a

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 6f5e17b259a8ee39e8698c1952ac65b526da5c66c2ad6f0a381185ff6be0e501
MD5 537e1302f9be941e70ca0b7cac08e492
BLAKE2b-256 dc7796565a15a07e3066dfa3b2dfb0457912e123c8cc69f6ec351e10ddb561b4

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 15e80b56eefd9eab102999adb8a4198213432d21150a67433aa7b81d99689913
MD5 8f9f64e3d759f559e2f8e525d128b95f
BLAKE2b-256 0bfd9784015571e50561754ff35e733e9be3c465fb98fc434fdab883e235c3fe

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1704ad87917ac92f8552600a6ed0d97611ebac2b51f1b72e1467c1f0116655a0
MD5 bc9025e56a241e25be64ec68287a1703
BLAKE2b-256 ec9fba26b7c40aff1a9cc0f3f24cc0df888744c50cebd7cf05700d1aeb3dc483

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5928bce5b6b33ed4a6bbff16702185723d9f86ea43b47a3c170da5508de85564
MD5 4a37ee5d6286d245a7b45fc87d2e5bb6
BLAKE2b-256 ec5d427b8b6864bdc26f84eb4b17eb627d6391dbea0d5ee24fcfe81023c6271d

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fde6bf735fc600d924a87dd59cc00eff6f651e68002a0854d9dffbada2923c73
MD5 eaaa236e08ed7ce6322b59a1743ea05f
BLAKE2b-256 2447c66f2655f17f34bbc9e542562e0b89ca6a24ea24a3e0d8b731293b7209d2

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ccf95594fa39d5c80ed21f92c9332502c5f22d5c572c2396682df59c8e90a378
MD5 9b14352c0d31224b01e8efc59452c9b0
BLAKE2b-256 648e75c1de5c181122b15d1985564f23f6d9e365c1838a113dfc233fa5924bfd

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 108.3 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 54f31c58b9687e450c78d2c0a581d0d6da854373c770edcbb35e9fd861b042a3
MD5 c850ad21b7f3288c73759b139eed10a9
BLAKE2b-256 8ae5d9e562f5eed80628e220e1f3f5be240b9354bd5bec79b39f76818f0bd257

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 93.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 a4c11385cc8c9c5a69fe12014ac2f88ddf0a212392297918300aff4242f4a160
MD5 e9e514a49fd309c6d229d03fe9e703be
BLAKE2b-256 b10c6ac77bc6778564a033f3f86441540ba31a3b972ad5ac52cc894256f047e3

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ae9c0d724f851c2a7ea0303be770c2bafe5e0b2a52809450f9512e2eabe2396c
MD5 6742f7d7d29c6a0f39a4414294f9563f
BLAKE2b-256 b6a371053e1b22fa2bcbb62c961da2994193587da29038f2c12f4c77b9793e8e

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 dee3cbdecbe3d98b50e885230c75859d334ef2b59abe463f5996a098a1a69216
MD5 685bb809dc7a75747bdb91d628760434
BLAKE2b-256 044c23d8539a90559be84d060ebf46f367d921cebc2ad6e07030db96e82733e2

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8c4a99526add9f4a58875b5af78d67312e8b8689600efab735e7a9a01d4c0933
MD5 3e7a78ae17e7dd0387540dd0c1ad25af
BLAKE2b-256 c6f1479ca4b1f4822b6effc84664edfbf0c02455fedeeb99154e1c06d7c26df2

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4947e57debd9b75758629d6591e9d3614416f6b6f4dc3b8c3dddc35e9097dad6
MD5 fee8f6463bb86e885c92ec6d6b2c1c64
BLAKE2b-256 df00653021430a60d7693423aebb96f506976f9c5308bd3e8cde1991117bcf33

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1da991588981e211818e4c7d9350709f57e52bdcc76ef45c6c1ae82daacd6905
MD5 5c6e4f46563d7c64d87f93dfc83945e3
BLAKE2b-256 4cf1cd4373406fcff55deebb30887641aa24889879ce86fc5433f467a842bd1b

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a7b4bdfbe6052ad27347f55583855ecf5aaaca37c526616d49768c986e27566e
MD5 21fe63147ef03e2b87a0518057e02f6d
BLAKE2b-256 da1cf9c0ce7b0694b9b47ac478c93e329e192b1072ef597e214ee5d7ebbd2a56

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 107.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ea7fa87bcdfa4bdc0611a2635012ae0a9bb786cee08152a5c6716571e00f556f
MD5 f9089cf206ccb2603784476e9a25034e
BLAKE2b-256 4b044a017c712568f9f20d8266c55288852fc5c78cce36666090e891de4f33e6

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 91.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 e7ada386b2270f152713ccb7c903850b666122450c46703ab5f126604979ce1d
MD5 5a7bd05602688721d9e7bf926cdcd133
BLAKE2b-256 14cc48a144b09188d07652d7030a8a7c9b723c4516b483e06c18f130e2e119b0

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1ca956794bf106705adee7644c9c110de3e26ebe123f9cd0e83a07e40c345761
MD5 053ca05db192411e583e99f283727b1a
BLAKE2b-256 4ff49c36b02f844ff2fcd7da29b5ef5eaabfcbcbf8301e4e2ca1667f1398a771

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 1efdb7888619349726aaae0a68e4f12e93e10430fd1e5e08ba5b82a31737822d
MD5 500ce9ab90d4864ec4a835b483ddb847
BLAKE2b-256 51a13e67d8e0bf7fcec11fd7f8e2937b6336e5d67d74b9a49ae2881327c4edbe

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3d86fadfe9c1af4098cbc371b8c75d1f8efa40f17af46aa94fd654ffacb576c2
MD5 8949d431d841b0eb12a8d75a14e6bc7b
BLAKE2b-256 c4935722707f17c763f67698c2bc8b0198de0d8b0c1f14b0009f7b48f75a878e

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 09c1efe6c65e92cea8b111e2c0a87c1477586d9cb1f523cb7a5d144517822285
MD5 7a8f999636c3c04aba15aea7bbdfffa2
BLAKE2b-256 014375a85b059f8b46a66170aa9534ebf591fa2c98e9da5dd947a652cc47c06b

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d50c96c9beec19a2afc158440f13950777a3540aa94e2d5de554b1d8a4af1a1f
MD5 8520cee0074119672f1bced8998bc300
BLAKE2b-256 dc7f5e60e5510bd9cd1fcb1f4faca16213ea334e2298a584de8fbfac295f811e

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dbd6882ea527d12732427eeca4cf457b08cd9737cc000d9fe3153e55d46e630f
MD5 1108e1736df94d12d9f5eea05325b350
BLAKE2b-256 9fe89463062d0add262bbb93b36995fb8fe0b6357344f6a48628209c1aefce5b

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 104.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3a5edeb6a0562f1cacdeb5b0d5fe4cd48fdea1d4e54d0ce434f200bb3f26aa12
MD5 e1c2bba8ecec6da679275edcd6d569bc
BLAKE2b-256 6a02b8a61f7ecd896ab4604d3112a16395a7df904feb2f1d039fcacf2f32c594

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 92.1 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 0ef96b653ec5cae703acb206d9f62a9f4db3018a0ecb412cec231539f841abd5
MD5 91bf57fafdbd44b4f83e25aa846378c9
BLAKE2b-256 3384aecabcf5b22e1e3609b243b43fcfe5432ca1412f39a5fe93016d55ed6206

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b5a0d0bd8a5edc9dfedfc6c49d63c6128aae056180b223ed49fb4a7f39948425
MD5 a63547d5634568d61bc90ccefa9fb30b
BLAKE2b-256 12f6e788a5797875a9ffe2e5f9d143d88438ebdb3ffad4b9841985afdaadc847

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 748.7 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8e90f302402107262ecc3075475bfae703ce59fe8c764298690c2f255295fea7
MD5 f0f7381670462e1cf53005651e7e7d18
BLAKE2b-256 ed76c0f128932b2b0fa96815d1f2abcc28bec8b8b53397dc2e8668932b8e39a8

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b2821a2b90a48285acffefc27a6bca8e21701916bdcd995164d91b0ac4f48c4
MD5 722e338e8e9e3796003955f162ea0396
BLAKE2b-256 432e8c3a2de1523e8ad21ad88d69e715e71c7abc23c43ebe2dfb9b7a96d36d9a

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c371234231133d11a5415f500c459749c384ca93e5ccb76df5b6137dc90290ab
MD5 880e58f744b0c58a218f5745d54c0883
BLAKE2b-256 26bcec82bc36aa0d4673345dfa8014bb535607e6b8fa54e91acfa2f7ce463cdf

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fdebd2c5d27c0dec9d5c25fa05b441253a0988bc686d2a56274e3f3f1f9ce40a
MD5 2e25abb794e0611d1ac05487ee6f0149
BLAKE2b-256 1c04f2920d9e7d806144d3dc8d91934e3df26e1f401f588e7cab8dd34cfa97bb

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5459b6a724ac212b41e70e86cf60d516da439890ec8ca4be814c45586552e322
MD5 af03c16c7de274a4ff79c2eb764dff62
BLAKE2b-256 b7aac2b94ffa40b95abdb9f03ac004a573c5751091b65563e750f708a0bdbab9

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 107.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d8807b8b7c8191779355028b92e3bdf64d08adf1d98c4ad7e63504366c871064
MD5 d7a918480e6faa86d2fef19bd80682a5
BLAKE2b-256 93e3f19a076cd40eebfec710c8308b8256ac5c2603520f58ab9e1ee6118388de

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 92.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 209999ceb3fa1939e89fe549cb58c25bac6450c5c7f0b8234fd8c67aed7024f7
MD5 c43a4889fae95e4aa7269b19a90a9f2d
BLAKE2b-256 e6ba182730730f3b4751adc6d8b6733dba921ef868af8315201b4d4913f03262

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d750ded8ef7bf5e4f9c1b8d425aff262cc9573d6360cabf3f96b2dd8e21c2666
MD5 78f97ac21e3de9c4fa82f622d652277e
BLAKE2b-256 7536cdc9f5423f39cd9706520c7246e640762fc6f67d761e37ac1a031a3b0bf6

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pyayay-0.1.1-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 748.2 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 1a9123318ce53a755b6b36ad7b1713d784f91941f49d6e5ea9d16a17fa031646
MD5 90f73256057d7f322b9a93be08000401
BLAKE2b-256 808022fc1248de115ec465304140a8d2675d515054030857d0a4a2df34abb46a

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 863562d27e92ba0ddcb9ab96870124650f06f9e164240ca1e3f92fc1f3682b99
MD5 10c1604146e58cc37f950aa38f72b145
BLAKE2b-256 3538fc142746eacb49fda25ab47f390b9e51674f28fe8aab33087ae4272823ac

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fa9d30df26ad3f93c4679276baaee80684dd53c4bf018d4651c3eab74bd34341
MD5 3f6af8b5678a9fb7c42807e36b6e0587
BLAKE2b-256 615805f2ff9a24b3c4f15a3ebec6b6d43e141e2e9ad43364558ff6a4a5b73c0d

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ade57a09bbe2e5f27c55899da32046f35dc80fdf23fb2c5aad2f878dc0a56a75
MD5 64308c7fd7ac2991f6d218aa5f800466
BLAKE2b-256 bc875a873cb8c297187c18067258ee24bba5122b87ae7c2322ba6cf64796c7a2

See more details on using hashes here.

File details

Details for the file pyayay-0.1.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyayay-0.1.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 975332ea27200e5346dafc299ecbd4a7bc2e509514d8b86cde8681f08476105f
MD5 0640778b8696aa353f1efe8e37529907
BLAKE2b-256 528ac9f9b938ed4d664bbb214b197c0ea8fac3b14e35e489f8b0bb1ebba31c89

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