PyWavelets

PyWavelets, wavelet transform module

These details have been verified by PyPI

Maintainers

aaren fwasilew grlee77 kwohlfahrt matthew.brett rgommers

These details have not been verified by PyPI

Project links

Project description

PyWavelets is a Python wavelet transforms module that includes:

nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)

1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform)

1D and 2D Wavelet Packet decomposition and reconstruction

1D Continuous Wavelet Tranfsorm

Computing Approximations of wavelet and scaling functions

Over 100 built-in wavelet filters and support for custom wavelets

Single and double precision calculations

Real and complex calculations

Results compatible with Matlab Wavelet Toolbox (TM)

Project details

These details have been verified by PyPI

Maintainers

aaren fwasilew grlee77 kwohlfahrt matthew.brett rgommers

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

1.7.0

Aug 12, 2024

1.6.0

Apr 1, 2024

1.6.0rc1 pre-release

Mar 14, 2024

1.5.0

Nov 17, 2023

1.4.1

Sep 16, 2022

1.4.0 yanked

Sep 15, 2022

Reason this release was yanked:

incorrect python_requires constraint

This version

1.3.0

Mar 11, 2022

1.2.0

Nov 9, 2021

1.1.1

Oct 19, 2019

1.1.0

Oct 18, 2019

1.0.3

Apr 9, 2019

1.0.2

Feb 26, 2019

1.0.1

Sep 25, 2018

1.0.0

Aug 31, 2018

0.5.2

Mar 10, 2017

0.5.1

Nov 29, 2016

0.5.0

Nov 3, 2016

0.4.0

Dec 28, 2015

0.3.0

Jul 30, 2015

0.2.2

Aug 30, 2012

0.2.0

Mar 17, 2010

0.1.6

Dec 2, 2006

0.1.4

Jul 7, 2006

0.1.2

Mar 25, 2006

0.1.0

Mar 22, 2006

Download files

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

Source Distribution

PyWavelets-1.3.0.tar.gz (4.6 MB view hashes)

Uploaded Mar 11, 2022 Source

Built Distributions

PyWavelets-1.3.0-cp310-cp310-win_amd64.whl (4.2 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.10 Windows x86-64

PyWavelets-1.3.0-cp310-cp310-win32.whl (4.1 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.10 Windows x86

PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.9 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.10 manylinux: glibc 2.17+ x86-64

PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.8 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.10 manylinux: glibc 2.17+ ARM64

PyWavelets-1.3.0-cp310-cp310-macosx_11_0_arm64.whl (4.3 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.10 macOS 11.0+ ARM64

PyWavelets-1.3.0-cp310-cp310-macosx_10_13_x86_64.whl (4.4 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.10 macOS 10.13+ x86-64

PyWavelets-1.3.0-cp310-cp310-macosx_10_13_universal2.whl (4.9 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.10 macOS 10.13+ universal2 (ARM64, x86-64)

PyWavelets-1.3.0-cp39-cp39-win_amd64.whl (4.2 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 Windows x86-64

PyWavelets-1.3.0-cp39-cp39-win32.whl (4.1 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 Windows x86

PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.9 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 manylinux: glibc 2.17+ x86-64

PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.8 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 manylinux: glibc 2.17+ ARM64

PyWavelets-1.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (6.4 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

PyWavelets-1.3.0-cp39-cp39-macosx_11_0_arm64.whl (4.3 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 macOS 11.0+ ARM64

PyWavelets-1.3.0-cp39-cp39-macosx_10_13_x86_64.whl (4.4 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 macOS 10.13+ x86-64

PyWavelets-1.3.0-cp39-cp39-macosx_10_13_universal2.whl (4.9 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.9 macOS 10.13+ universal2 (ARM64, x86-64)

PyWavelets-1.3.0-cp38-cp38-win_amd64.whl (4.2 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 Windows x86-64

PyWavelets-1.3.0-cp38-cp38-win32.whl (4.1 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 Windows x86

PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.9 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 manylinux: glibc 2.17+ x86-64

PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.8 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 manylinux: glibc 2.17+ ARM64

PyWavelets-1.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (6.6 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

PyWavelets-1.3.0-cp38-cp38-macosx_11_0_arm64.whl (4.3 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 macOS 11.0+ ARM64

PyWavelets-1.3.0-cp38-cp38-macosx_10_13_x86_64.whl (4.3 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 macOS 10.13+ x86-64

PyWavelets-1.3.0-cp38-cp38-macosx_10_13_universal2.whl (4.9 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.8 macOS 10.13+ universal2 (ARM64, x86-64)

PyWavelets-1.3.0-cp37-cp37m-win_amd64.whl (4.2 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.7m Windows x86-64

PyWavelets-1.3.0-cp37-cp37m-win32.whl (4.1 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.7m Windows x86

PyWavelets-1.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.6 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.7m manylinux: glibc 2.17+ ARM64

PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.4 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.7m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (6.2 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.7m manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

PyWavelets-1.3.0-cp37-cp37m-macosx_10_13_x86_64.whl (4.3 MB view hashes)

Uploaded Mar 11, 2022 CPython 3.7m macOS 10.13+ x86-64

Hashes for PyWavelets-1.3.0.tar.gz

Hashes for PyWavelets-1.3.0.tar.gz
Algorithm	Hash digest
SHA256	`cbaa9d62052d9daf8da765fc8e7c30c38ea2b8e9e1c18841913dfb4aec671ee5`
MD5	`97ea0ec087d948de717771e3d7f03360`
BLAKE2b-256	`32abb96b19cae562aecaa57f0cdb501be169a38ec685ddcc91f1de20f849b22e`

Hashes for PyWavelets-1.3.0-cp310-cp310-win_amd64.whl

Hashes for PyWavelets-1.3.0-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`437806465cfa5f2d91809ec13154be050b84a11025784a6b6ce04ac452872b36`
MD5	`c89dfc354aa1fe1ddc159b332a5b8f7c`
BLAKE2b-256	`ff3ab6fc719ac2784498de367582c2a2e45ef7928a4fadb403920b68706e887b`

Hashes for PyWavelets-1.3.0-cp310-cp310-win32.whl

Hashes for PyWavelets-1.3.0-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`6ecfe051ccb097c2dcdcb0977e0a684e76144d6694a202badf0780143d8536f0`
MD5	`68ff20bacf63e34be7febe1265eba375`
BLAKE2b-256	`67248ee26d968150d17897393791f368ef623793ba701499ae5977fae26ce5f2`

Hashes for PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`c98ac1cee6276db05768e450dc3002033be6c2819c906103a974e0fb0d436f41`
MD5	`3d9dc7190601b5ff68ea9bc36b7c5d8f`
BLAKE2b-256	`784831d5634b2318df120e4533eeef6ecdca8b46bdf28a636b32c31a23dee55f`

Hashes for PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for PyWavelets-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`e8876764e349673ee8d48bc3cd0afd2f9f7b65378998e2665af12c277c8a56de`
MD5	`15e4a67901802a08f412fc6e1d7a500d`
BLAKE2b-256	`9a6e3a93a2978e6b7e076f21c5bb00a94260027772a281b92239011d24398eb1`

Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_11_0_arm64.whl

Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`35a945bea9da6db9755e42e06e871846514ae91bde3ae24a08a1d090b003a23b`
MD5	`b802d515eaddad86f40462f5233d2a06`
BLAKE2b-256	`728c0825b908457b9f8a1bef9fad0d71d9ee8fe845b7b6c6ebc684ac8a4a32d6`

Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_10_13_x86_64.whl

Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`3eeffcf2f7eebae5cc27cb11a7d0d96118e2e9f75ac38ff1a05373d5fe75accb`
MD5	`9c1b2356e49a382ef86e6241c340148a`
BLAKE2b-256	`678123ed048687321f63901f4707386b099987365ade0dc521c395e30e4e043d`

Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_10_13_universal2.whl

Hashes for PyWavelets-1.3.0-cp310-cp310-macosx_10_13_universal2.whl
Algorithm	Hash digest
SHA256	`eebaa9c28600da336743fefd650332460c132792660e70eb09abf343b0664b87`
MD5	`8d36f2cc57cb2aa653a1b9b2f6982a53`
BLAKE2b-256	`a7da5b8f101523f30cf76c391da58915bde535b62322bc71aaa66943887e7b38`

Hashes for PyWavelets-1.3.0-cp39-cp39-win_amd64.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`a354979e2ee8cd71a8952ded381f3d9f981692b73c6842bcc6c9f64047e0a5be`
MD5	`f8cb3f209d203ac40b649d01e423865e`
BLAKE2b-256	`2ee13f6fe88d13f8ab6f481cf2c4a47a605e108d1c3c82ce00f809e862344edb`

Hashes for PyWavelets-1.3.0-cp39-cp39-win32.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`de67deb275474094e160900ab7e07f2a721b9cd351cf3826c4a3ab89bb71d4b3`
MD5	`0ca115db9d6bbc31f578ebb2969d8539`
BLAKE2b-256	`313dec67d2bbb2670082d607c7bf6ab8d45fa3b2419aba92376e5289a1047e35`

Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`a486160f83efd8517cd748796adbab7c445ee8a3e1d168b4b8b60ed0f5aee3a0`
MD5	`f90c6956654bbf7efe76e9cc50badca9`
BLAKE2b-256	`45fd1ad6a2c2b9f16d684c8a21e92455885891b38c703b39f13916971e9ee8ff`

Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`38cc635c08a050e175a492e66c9b63a8e1f42254e6879e614b6c9d8d69e0887f`
MD5	`68e22537f6407ed647fa08548ed1b07e`
BLAKE2b-256	`9e67507ffecc1d9eaff500be8ef201b1082047b892c13a98298e38171ce18872`

Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`f6e7d969a6ef64ae8be1766b0b0e32debb13424543d331911b8d7e967d60dd42`
MD5	`5afb05e893efa8ff5d07adeb9996075a`
BLAKE2b-256	`0ce525ba64858527e6261e56fe76ad1c7a528c8f3f424c9364d97c61c3867f43`

Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_11_0_arm64.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`0ed3afbda88498b3ea3c861bf5b55e4feca41747730a71a22102ed5a74d1e453`
MD5	`7bd87ac78e6bac3206aaed6f4627aa72`
BLAKE2b-256	`7dd42fd75d3d69047fc6eac05b77c3d343b4c2ec9d7c0b8057c53d3bfd964c18`

Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_10_13_x86_64.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`fccf468c55427828a3c534b651311f2759210836491c1112e1548e1babe368a5`
MD5	`012baacfebea38094af4c87a31d8f04b`
BLAKE2b-256	`8121f45626515c322ff8c221c63e6ff2b528f93ee59ea2d8851dc89b1fd91225`

Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_10_13_universal2.whl

Hashes for PyWavelets-1.3.0-cp39-cp39-macosx_10_13_universal2.whl
Algorithm	Hash digest
SHA256	`84c58a179bdb9fc71039b1f68bcd0718a7d9814b5e3741d7681d3e027bb81b52`
MD5	`41b44d20e2d23afaa7b4292348196879`
BLAKE2b-256	`5c78f4ce8d49fd775d3fc389d008901a312992769499e224ada13cab77cc2c03`

Hashes for PyWavelets-1.3.0-cp38-cp38-win_amd64.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`3383d106fa8da0c2df30401ad056cd7a11b76d885f4bfa16ca7bcc6b4ca2831c`
MD5	`d6f40b0cc2d72d9b4d1ee9248e112766`
BLAKE2b-256	`2853d8eaf1ffe27fb239c61c1b73a8f936bc7e66632b8cab08b5bdedb9fdeda5`

Hashes for PyWavelets-1.3.0-cp38-cp38-win32.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`27e99818d3c26481de3c68dbe880a7fcafe661cc031b22eff4a64237fe17a7ff`
MD5	`c4e16fe33e35e1153a4c7a5ca6e3c2be`
BLAKE2b-256	`a837f2ed3819e8d4091cb021f9fcdb30c4266cb0625c0a34e8678e6d66fde6f1`

Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d7369597e1b1d125eb4b458a36cef052beed188444e55ed21445c1196008e200`
MD5	`e3da72ac2c9addde772179a4622e2775`
BLAKE2b-256	`4b2004a0a3e43a45a459c2bcde756833b2eca9430729e89d65da35f70e99e997`

Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`a51225d24811ba7ef5184c03bb7072db0aa9651c4370a115d4069dedfb8d2f7a`
MD5	`d082aa038e28a4cc67bfb1a6276334cd`
BLAKE2b-256	`252ceae94f875a0f6a60baa3907563c0c685bc17d23cae1b92fa5404d66adbd2`

Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`307ab8a4c3e5c2b8f7d3d371de4a5f019cf4b030b897c3394a4a7ad157369367`
MD5	`a6107a35eec8333cfa26d7964de5e1bf`
BLAKE2b-256	`3cf4b14e863a7f4b146c090d9c70cd130938c4616fbc02877eef4fc747abe6a5`

Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_11_0_arm64.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`69e9a46facf89b51e5700d10f6d831f29745471c1ab42917f2f849a257b9fd77`
MD5	`04bc4cff653585fcc0c7dc9a736e9df8`
BLAKE2b-256	`96e2a4c51bb664f3605ef7a1ca644606fd95e8ea416519585f863a99ecb7678b`

Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_10_13_x86_64.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`a555a7a85da01357d8258cb45f751881f69013f8920f8738718c60cf8a47b755`
MD5	`9dd4797c0f3bc2981c893172a1692807`
BLAKE2b-256	`0980a85831bbf6dcd886435726822b972de7bd533fc0e71bb9a205d02d71684a`

Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_10_13_universal2.whl

Hashes for PyWavelets-1.3.0-cp38-cp38-macosx_10_13_universal2.whl
Algorithm	Hash digest
SHA256	`8a5941d1f4eb1bc9569c655b63ecb31aa15b3ef0fc9b57df275892c39bccc59e`
MD5	`adea2b9d3462e54d5b57a9cb322f7d04`
BLAKE2b-256	`ea16f74ccb794053560dcb0a50d65f29c9c607ca9d8859ed4489e5a6df671303`

Hashes for PyWavelets-1.3.0-cp37-cp37m-win_amd64.whl

Hashes for PyWavelets-1.3.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`91e1b220f0ddd4c127bab718363c2c4a07dbcd95b9c4bfed09a3cdae47dbba43`
MD5	`45fe6e29c88b365e3289521e88697d43`
BLAKE2b-256	`7c0c89dea7fed4a6cd3e6f5ade93c7d645a2991a0483916f161a9d72a0d817f8`

Hashes for PyWavelets-1.3.0-cp37-cp37m-win32.whl

Hashes for PyWavelets-1.3.0-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`3d3ecc2ee87be94fb2dc8c2d35bcae3f24708677196e80028d24ba0fd2f6a70a`
MD5	`597f7585bf23e0f942d0466490e3ed36`
BLAKE2b-256	`bc3bb6484edb1c0a0b7fb8e461331ab8ea9aa03d98ec54ad11cf187c5e6fd816`

Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`d4f9ed4f175c66c9b8646a93fd54c588fd8f4b2517f53c59aea5cdf370f9c9ba`
MD5	`ec9c2fc7e77c6b6931b0e80abdfb1c07`
BLAKE2b-256	`96eef062fc1f2fbc99a38d1af52548b6ba3b0c88588c3de9ef120b5bf9f22270`

Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`5b76731d2077242611b32f2e11c72adbf126b432ceae92e2ce8d0f693974c96d`
MD5	`6d172001cdfafb570829b489667e9f4b`
BLAKE2b-256	`ae564441877073d8a5266dbf7b04c7f3dc66f1149c8efb9323e0ef987a9bb1ce`

Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl

Hashes for PyWavelets-1.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`41e4f0a3a6a088e955006513fe72f863cea3ce293033131cacb8a1a3068ed228`
MD5	`03da6fb758b59701e8c06ef04c10ddd1`
BLAKE2b-256	`58b2fe7fe17428366f9274ced66d9885ea496796271b907a1b879ec2ea1f36d6`

Hashes for PyWavelets-1.3.0-cp37-cp37m-macosx_10_13_x86_64.whl

Hashes for PyWavelets-1.3.0-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`3c4ebe7ff2c9092f6bdd1f8bf98ce2745f5d43a9936d6e342ee83fbcae548116`
MD5	`3f408f98483acc02832519be42697dcc`
BLAKE2b-256	`f9251587f04d6805e2b115be398e023b7e68478b570aaa2c92948b98d7d2571c`