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mirror of https://git.FreeBSD.org/ports.git synced 2024-11-23 00:43:28 +00:00

Don't build a subset of BLAS and ARPACK2 and Use external ones.

PR:		ports/52789
Submitted by;	Pedro F. Giffuni <giffunip@yahoo.com>
This commit is contained in:
Norikatsu Shigemura 2003-07-11 20:08:49 +00:00
parent 3cb93e47ca
commit c3cd01bd6e
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=84713
5 changed files with 109 additions and 38 deletions

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@ -9,32 +9,38 @@ PORTNAME= arpack
PORTVERSION= 96
CATEGORIES= math
MASTER_SITES= http://www.caam.rice.edu/software/ARPACK/SRC/
DISTFILES= ${PORTNAME}${PORTVERSION}.tar.gz patch.tar.Z
DISTFILES= ${PORTNAME}${PORTVERSION}.tar.gz patch.tar.gz
.ifndef NOPORTDOCS
DISTFILES+= ug.ps.gz
.endif
DIST_SUBDIR= arpack
EXTRACT_ONLY= ${PORTNAME}${PORTVERSION}.tar.gz
PATCH_SITES= http://www.caam.rice.edu/software/ARPACK/SRC/
MAINTAINER= ports@FreeBSD.org
COMMENT= Argand Library (serial version)
COMMENT= Argand Library: large eigenvalue subroutines (serial version)
BUILD_DEPENDS= ${LOCALBASE}/bin/f2c:${PORTSDIR}/lang/f2c
DIST_SUBDIR= arpack
BUILD_DEPENDS= ${LOCALBASE}/bin/f2c:${PORTSDIR}/lang/f2c \
${LOCALBASE}/lib/libf77blas.a:${PORTSDIR}/math/atlas
WRKSRC= ${WRKDIR}/ARPACK
ALL_TARGET= lib
MAKE_ENV= HOME=${WRKSRC}
BLAS_LIBS= ${LOCALBASE}/lib/libf77blas.a ${LOCALBASE}/lib/libatlas.a
INSTALLS_SHLIB= yes
USE_REINPLACE= yes
USE_REINPLACE= yes
.include <bsd.port.pre.mk>
pre-patch:
@(cd ${WRKSRC}; tar -xzf ${DISTDIR}/${DIST_SUBDIR}/patch.tar.Z)
post-patch:
@${REINPLACE_CMD} -e 's+%FC%+${FC}+g;' ${WRKSRC}/ARmake.inc
@${REINPLACE_CMD} -e 's+%FFLAGS%+${FFLAGS}+g;' ${WRKSRC}/ARmake.inc
pre-build:
@${REINPLACE_CMD} -e 's+%FC%+${FC}+g ; s+%FFLAGS%+${FFLAGS}+g ; \
s+%%WRKDIR%%+${WRKDIR}+ ; \
s+%%BLAS_LIBS%%+${BLAS_LIBS}+' ${WRKSRC}/ARmake.inc
do-install:
${INSTALL} ${WRKSRC}/libarpack.a ${PREFIX}/lib
@ -48,9 +54,10 @@ do-install:
post-install:
.if !defined(NOPORTDOCS)
${MKDIR} $(PREFIX)/share/doc/arpack
${MKDIR} ${DOCSDIR}
-${GZIP_CMD} ${GZIP} ${WRKSRC}/DOCUMENTS/ex-*.doc
${CP} $(WRKSRC)/DOCUMENTS/ex-*.doc.gz $(PREFIX)/share/doc/arpack/
${CP} ${WRKSRC}/DOCUMENTS/ex-*.doc.gz ${DOCSDIR}
${INSTALL_DATA} ${DISTDIR}/${DIST_SUBDIR}/ug.ps.gz ${DOCSDIR}
.endif
.include <bsd.port.post.mk>

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@ -1,2 +1,3 @@
MD5 (arpack/arpack96.tar.gz) = fffaa970198b285676f4156cebc8626e
MD5 (arpack/patch.tar.Z) = f323dafc1610d45fb98987cf76a7d344
MD5 (arpack/patch.tar.gz) = 14830d758f195f272b8594a493501fa2
MD5 (arpack/ug.ps.gz) = 79cc51e4812c75873adafcad2185842e

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@ -0,0 +1,60 @@
--- ARmake.inc.orig Fri Apr 26 14:12:57 1996
+++ ARmake.inc Thu May 29 09:36:26 2003
@@ -25,14 +25,14 @@
# | other than your home directory. |
# %--------------------------------------%
#
-home = $(HOME)/ARPACK
+home = %%WRKDIR%%/ARPACK
#
# %--------------------------------------%
# | The platform identifier to suffix to |
# | the end of library names |
# %--------------------------------------%
#
-PLAT = SUN4
+PLAT = FBSD
#
# %------------------------------------------------------%
# | The directories to find the various pieces of ARPACK |
@@ -43,7 +43,7 @@
UTILdir = $(home)/UTIL
SRCdir = $(home)/SRC
#
-DIRS = $(BLASdir) $(LAPACKdir) $(UTILdir) $(SRCdir)
+DIRS = $(LAPACKdir) $(UTILdir) $(SRCdir)
#
# %-------------------------------------------------------------------%
# | Comment out the previous line and uncomment the following |
@@ -57,9 +57,9 @@
# | The name of the libraries to be created/linked to |
# %---------------------------------------------------%
#
-ARPACKLIB = $(home)/libarpack_$(PLAT).a
+ARPACKLIB = $(home)/libarpack.a
LAPACKLIB =
-BLASLIB =
+BLASLIB = %%BLAS_LIBS%%
#
ALIBS = $(ARPACKLIB) $(LAPACKLIB) $(BLASLIB)
#
@@ -101,8 +101,8 @@
# | for your system. |
# %-----------------------------------------%
#
-FC = f77
-FFLAGS = -O -cg89
+FC = %FC%
+FFLAGS = %FFLAGS%
LDFLAGS =
CD = cd
@@ -112,7 +112,7 @@
LN = ln
LNFLAGS = -s
-MAKE = /bin/make
+MAKE ?= /usr/bin/make
RM = rm
RMFLAGS = -f

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@ -1,22 +1,24 @@
ARPACK is a collection of Fortran77 subroutines designed to solve large
scale eigenvalue problems.
The package is designed to compute a few eigenvalues and corresponding
eigenvectors of a general n by n matrix A. It is most appropriate for large
sparse or structured matrices A where structured means that a matrix-vector
product w <- Av requires order n rather than the usual order n**2 floating
point operations. This software is based upon an algorithmic variant of the
Arnoldi process called the Implicitly Restarted Arnoldi Method (IRAM). When
the matrix A is symmetric it reduces to a variant of the Lanczos process
called the Implicitly Restarted Lanczos Method (IRLM). These variants may be
viewed as a synthesis of the Arnoldi/Lanczos process with the Implicitly
Shifted QR technique that is suitable for large scale problems. For many
standard problems, a matrix factorization is not required. Only the action
of the matrix on a vector is needed. ARPACK software is capable of solving
large scale symmetric, nonsymmetric, and generalized eigenproblems from
significant application areas. The software is designed to compute a few (k)
eigenvalues with user specified features such as those of largest real part
or largest magnitude. Storage requirements are on the order of n*k locations.
No auxiliary storage is required. A set of Schur basis vectors for the desired
k-dimensional eigen-space is computed which is numerically orthogonal to working
precision. Numerically accurate eigenvectors are available on request.
sparse or structured matrices A where structured means that a matrix-vector
product w <- Av requires order n rather than the usual order n2 floating point
operations. This software is based upon an algorithmic variant of the Arnoldi
process called the Implicitly Restarted Arnoldi Method (IRAM). When the matrix
A is symmetric it reduces to a variant of the Lanczos process called the
Implicitly Restarted Lanczos Method (IRLM). These variants may be viewed as a
synthesis of the Arnoldi/Lanczos process with the Implicitly Shifted QR
technique that is suitable for large scale problems. For many standard
problems, a matrix factorization is not required. Only the action of the matrix
on a vector is needed.
ARPACK software is capable of solving large scale symmetric, nonsymmetric,
and generalized eigenproblems from significant application areas. The software
is designed to compute a few (k) eigenvalues with user specified features
such as those of largest real part or largest magnitude. Storage requirements
are on the order of n*k locations. No auxiliary storage is required. A set
of Schur basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically accurate
eigenvectors are available on request.
WWW: http://www.caam.rice.edu/ARPACK/
NOTE: You MUST link with BLAS library or a replacement like ATLAS.

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@ -1,6 +1,7 @@
include/arpack.h
include/arpack.h
lib/libarpack.a
share/doc/arpack/ex-complex.doc.gz
share/doc/arpack/ex-nonsym.doc.gz
share/doc/arpack/ex-sym.doc.gz
@dirrm share/doc/arpack
%%PORTDOCS%%share/doc/arpack/ex-complex.doc.gz
%%PORTDOCS%%share/doc/arpack/ex-nonsym.doc.gz
%%PORTDOCS%%share/doc/arpack/ex-sym.doc.gz
%%PORTDOCS%%share/doc/arpack/ug.ps.gz
%%PORTDOCS%%@dirrm share/doc/arpack