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<title>ports/math/py-PyWavelets, branch release/10.4.0</title>
<subtitle>FreeBSD ports tree</subtitle>
<id>https://cgit-dev.freebsd.org/ports/atom?h=release%2F10.4.0</id>
<link rel='self' href='https://cgit-dev.freebsd.org/ports/atom?h=release%2F10.4.0'/>
<link rel='alternate' type='text/html' href='https://cgit-dev.freebsd.org/ports/'/>
<updated>2017-04-16T07:31:07Z</updated>
<entry>
<title>- Update to 0.5.2</title>
<updated>2017-04-16T07:31:07Z</updated>
<author>
<name>Wen Heping</name>
<email>wen@FreeBSD.org</email>
</author>
<published>2017-04-16T07:31:07Z</published>
<link rel='alternate' type='text/html' href='https://cgit-dev.freebsd.org/ports/commit/?id=2f13f5e378797bb0bf1854c6c2ac2091bf704127'/>
<id>urn:sha1:2f13f5e378797bb0bf1854c6c2ac2091bf704127</id>
<content type='text'>
PR:		218565
Submitted by:	eric@camachat.org(maintainer)
</content>
</entry>
<entry>
<title>Regular USE_GITHUB cleanup.</title>
<updated>2017-04-10T21:49:02Z</updated>
<author>
<name>Mathieu Arnold</name>
<email>mat@FreeBSD.org</email>
</author>
<published>2017-04-10T21:49:02Z</published>
<link rel='alternate' type='text/html' href='https://cgit-dev.freebsd.org/ports/commit/?id=aabf1b050f73a1279b88c9133319cf83d51cbfc9'/>
<id>urn:sha1:aabf1b050f73a1279b88c9133319cf83d51cbfc9</id>
<content type='text'>
Do not set DISTNAME.
Do not set WRKSRC, if you feel like you need to, you should fix
GH_PROJECT instead.

Sponsored by:	Absolight
</content>
</entry>
<entry>
<title>PyWavelets is a free Open Source library for wavelet transforms in Python.</title>
<updated>2017-03-10T01:28:25Z</updated>
<author>
<name>Wen Heping</name>
<email>wen@FreeBSD.org</email>
</author>
<published>2017-03-10T01:28:25Z</published>
<link rel='alternate' type='text/html' href='https://cgit-dev.freebsd.org/ports/commit/?id=8353cf8934fdb17f9748041cb29b9099350cb76c'/>
<id>urn:sha1:8353cf8934fdb17f9748041cb29b9099350cb76c</id>
<content type='text'>
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
</content>
</entry>
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