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pip

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Copyright (c) 2006-2012 Filip Wasilewski <http://en.ig.ma/>
Copyright (c) 2012-2020 The PyWavelets Developers <https://github.com/PyWavelets/pywt>
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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The PyWavelets repository and source distributions bundle some code that is
adapted from compatibly licensed projects. We list these here.
Name: NumPy
Files: pywt/_pytesttester.py
License: 3-clause BSD
Name: SciPy
Files: setup.py, util/*
License: 3-clause BSD

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Metadata-Version: 2.1
Name: PyWavelets
Version: 1.4.1
Summary: PyWavelets, wavelet transform module
Home-page: https://github.com/PyWavelets/pywt
Download-URL: https://github.com/PyWavelets/pywt/releases
Maintainer: The PyWavelets Developers
Maintainer-email: pywavelets@googlegroups.com
License: MIT
Keywords: wavelets,wavelet transform,DWT,SWT,CWT,scientific
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
License-File: LICENSE
License-File: LICENSES_bundled.txt
Requires-Dist: numpy (>=1.17.3)
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)

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