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PyWavelets is a free Open Source library for wavelet transforms in Python.

Browse Source 
Wavelets are mathematical basis functions that are localized in both time and
frequency. Wavelet transforms are time-frequency transforms employing wavelets.
They are similar to Fourier transforms, the difference being that Fourier
transforms are localized only in frequency instead of in time and frequency.

WWW: https://github.com/PyWavelets/pywt

PR:		217426
Submitted by:	eric@camachat.org
This commit is contained in:
Wen Heping 2017-03-10 01:28:25 +00:00
parent 1c81ee3da4
commit 8353cf8934
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=435813
4 changed files with 43 additions and 0 deletions
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1
math/Makefile
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@ -582,6 +582,7 @@
SUBDIR += pspp
SUBDIR += pure-mpfr
SUBDIR += pure-rational
SUBDIR += py-PyWavelets
SUBDIR += py-altgraph
SUBDIR += py-apgl
SUBDIR += py-basemap

32
math/py-PyWavelets/Makefile Normal file
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@ -0,0 +1,32 @@
# $FreeBSD$
PORTNAME= PyWavelets
PORTVERSION= 0.5.1
DISTVERSIONPREFIX= v
CATEGORIES= math python
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
DISTNAME= pywt
MAINTAINER= eric@camachat.org
COMMENT= Discrete Wavelet Transforms in Python
LICENSE= MIT
LICENSE_FILE= ${WRKSRC}/COPYING
BUILD_DEPENDS= ${PYNUMPY} \
cython:lang/cython \
${PYTHON_PKGNAMEPREFIX}pillow>=1.7:graphics/py-pillow
RUN_DEPENDS= ${PYNUMPY} \
cython:lang/cython \
${PYTHON_PKGNAMEPREFIX}pillow>=1.7:graphics/py-pillow
USE_GITHUB= yes
GH_PROJECT= ${DISTNAME}
USES= cpe python
USE_PYTHON= autoplist distutils
PYDISTUTILS_BUILD_TARGET= build build_ext
PYDISTUTILS_BUILDARGS+= saveopts
.include <bsd.port.mk>

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math/py-PyWavelets/distinfo Normal file
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@ -0,0 +1,3 @@
TIMESTAMP = 1489108516
SHA256 (pywt_GH0.tar.gz) = dc912325b4752b83303af31925450efb795ec81d6aed1317613f7d5a634c0b50
SIZE (pywt_GH0.tar.gz) = 3865431

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math/py-PyWavelets/pkg-descr Normal file
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@ -0,0 +1,7 @@
PyWavelets is a free Open Source library for wavelet transforms in Python.
Wavelets are mathematical basis functions that are localized in both time and
frequency. Wavelet transforms are time-frequency transforms employing wavelets.
They are similar to Fourier transforms, the difference being that Fourier
transforms are localized only in frequency instead of in time and frequency.
WWW: https://github.com/PyWavelets/pywt