openbsd-ports/math/p5-Math-FFT/Makefile

# $OpenBSD: Makefile,v 1.11 2012/08/23 15:50:05 sthen Exp $

SHARED_ONLY=	Yes

COMMENT=	calculate Fast Fourier Transforms in perl

MODULES=	cpan
DISTNAME=	Math-FFT-1.28
REVISION=	3
CATEGORIES=	math
USE_GROFF =	Yes

MAINTAINER=	Anil Madhavapeddy <avsm@openbsd.org>

# Perl
PERMIT_PACKAGE_CDROM=	Yes
PERMIT_PACKAGE_FTP=	Yes
PERMIT_DISTFILES_CDROM=	Yes
PERMIT_DISTFILES_FTP=	Yes

WANTLIB += c

.include <bsd.port.mk>
sync wantlib 2012-08-23 11:50:05 -04:00			`# $OpenBSD: Makefile,v 1.11 2012/08/23 15:50:05 sthen Exp $`
Don't attempt to build perl ports that load dynamic modules on architectures that support static linking only. 2004-01-17 10:58:06 -05:00
update to 1.28 based on diff from Jasper Lievisse Adriaanse <jasper at nedbsd.nl> 2006-01-04 02:28:24 -05:00			`SHARED_ONLY= Yes`
initial import of p5-Math-FFT-0.25 -- This module implements some algorithms for calculating Fast Fourier Transforms for one-dimensional data sets of size 2^n. The data, assumed to arise from a constant sampling rate, is represented by an array reference, which is then used to create a Math::FFT object. Available methods include complex and real discrete fourier transforms, convolution, power spectra and windowing functions, as well as some statistical utilities. 2003-02-21 08:44:19 -05:00
remove quotes from COMMENT/PERMIT*/BROKEN 2007-09-15 14:44:36 -04:00			`COMMENT= calculate Fast Fourier Transforms in perl`
initial import of p5-Math-FFT-0.25 -- This module implements some algorithms for calculating Fast Fourier Transforms for one-dimensional data sets of size 2^n. The data, assumed to arise from a constant sampling rate, is represented by an array reference, which is then used to create a Math::FFT object. Available methods include complex and real discrete fourier transforms, convolution, power spectra and windowing functions, as well as some statistical utilities. 2003-02-21 08:44:19 -05:00
cpanify math ports, switch to SHARED_ONLY, set licenses and bump as required. 'go ahead' steven@ 2006-12-24 14:50:51 -05:00			`MODULES= cpan`
update to 1.28 based on diff from Jasper Lievisse Adriaanse <jasper at nedbsd.nl> 2006-01-04 02:28:24 -05:00			`DISTNAME= Math-FFT-1.28`
sync wantlib 2012-08-23 11:50:05 -04:00			`REVISION= 3`
cpanify math ports, switch to SHARED_ONLY, set licenses and bump as required. 'go ahead' steven@ 2006-12-24 14:50:51 -05:00			`CATEGORIES= math`
USE_GROFF=Yes 2010-10-18 16:52:05 -04:00			`USE_GROFF = Yes`
initial import of p5-Math-FFT-0.25 -- This module implements some algorithms for calculating Fast Fourier Transforms for one-dimensional data sets of size 2^n. The data, assumed to arise from a constant sampling rate, is represented by an array reference, which is then used to create a Math::FFT object. Available methods include complex and real discrete fourier transforms, convolution, power spectra and windowing functions, as well as some statistical utilities. 2003-02-21 08:44:19 -05:00
			`MAINTAINER= Anil Madhavapeddy <avsm@openbsd.org>`

cpanify math ports, switch to SHARED_ONLY, set licenses and bump as required. 'go ahead' steven@ 2006-12-24 14:50:51 -05:00			`# Perl`
initial import of p5-Math-FFT-0.25 -- This module implements some algorithms for calculating Fast Fourier Transforms for one-dimensional data sets of size 2^n. The data, assumed to arise from a constant sampling rate, is represented by an array reference, which is then used to create a Math::FFT object. Available methods include complex and real discrete fourier transforms, convolution, power spectra and windowing functions, as well as some statistical utilities. 2003-02-21 08:44:19 -05:00			`PERMIT_PACKAGE_CDROM= Yes`
			`PERMIT_PACKAGE_FTP= Yes`
			`PERMIT_DISTFILES_CDROM= Yes`
			`PERMIT_DISTFILES_FTP= Yes`

sync wantlib 2012-08-23 11:50:05 -04:00			`WANTLIB += c`

initial import of p5-Math-FFT-0.25 -- This module implements some algorithms for calculating Fast Fourier Transforms for one-dimensional data sets of size 2^n. The data, assumed to arise from a constant sampling rate, is represented by an array reference, which is then used to create a Math::FFT object. Available methods include complex and real discrete fourier transforms, convolution, power spectra and windowing functions, as well as some statistical utilities. 2003-02-21 08:44:19 -05:00			`.include <bsd.port.mk>`