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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:
parent
3cb93e47ca
commit
c3cd01bd6e
Notes:
svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=84713
@ -9,32 +9,38 @@ PORTNAME= arpack
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PORTVERSION= 96
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CATEGORIES= math
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MASTER_SITES= http://www.caam.rice.edu/software/ARPACK/SRC/
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DISTFILES= ${PORTNAME}${PORTVERSION}.tar.gz patch.tar.Z
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DISTFILES= ${PORTNAME}${PORTVERSION}.tar.gz patch.tar.gz
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.ifndef NOPORTDOCS
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DISTFILES+= ug.ps.gz
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.endif
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DIST_SUBDIR= arpack
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EXTRACT_ONLY= ${PORTNAME}${PORTVERSION}.tar.gz
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PATCH_SITES= http://www.caam.rice.edu/software/ARPACK/SRC/
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MAINTAINER= ports@FreeBSD.org
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COMMENT= Argand Library (serial version)
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COMMENT= Argand Library: large eigenvalue subroutines (serial version)
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BUILD_DEPENDS= ${LOCALBASE}/bin/f2c:${PORTSDIR}/lang/f2c
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DIST_SUBDIR= arpack
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BUILD_DEPENDS= ${LOCALBASE}/bin/f2c:${PORTSDIR}/lang/f2c \
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${LOCALBASE}/lib/libf77blas.a:${PORTSDIR}/math/atlas
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WRKSRC= ${WRKDIR}/ARPACK
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ALL_TARGET= lib
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MAKE_ENV= HOME=${WRKSRC}
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BLAS_LIBS= ${LOCALBASE}/lib/libf77blas.a ${LOCALBASE}/lib/libatlas.a
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INSTALLS_SHLIB= yes
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USE_REINPLACE= yes
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USE_REINPLACE= yes
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.include <bsd.port.pre.mk>
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pre-patch:
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@(cd ${WRKSRC}; tar -xzf ${DISTDIR}/${DIST_SUBDIR}/patch.tar.Z)
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post-patch:
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@${REINPLACE_CMD} -e 's+%FC%+${FC}+g;' ${WRKSRC}/ARmake.inc
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@${REINPLACE_CMD} -e 's+%FFLAGS%+${FFLAGS}+g;' ${WRKSRC}/ARmake.inc
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pre-build:
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@${REINPLACE_CMD} -e 's+%FC%+${FC}+g ; s+%FFLAGS%+${FFLAGS}+g ; \
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s+%%WRKDIR%%+${WRKDIR}+ ; \
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s+%%BLAS_LIBS%%+${BLAS_LIBS}+' ${WRKSRC}/ARmake.inc
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do-install:
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${INSTALL} ${WRKSRC}/libarpack.a ${PREFIX}/lib
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@ -48,9 +54,10 @@ do-install:
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post-install:
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.if !defined(NOPORTDOCS)
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${MKDIR} $(PREFIX)/share/doc/arpack
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${MKDIR} ${DOCSDIR}
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-${GZIP_CMD} ${GZIP} ${WRKSRC}/DOCUMENTS/ex-*.doc
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${CP} $(WRKSRC)/DOCUMENTS/ex-*.doc.gz $(PREFIX)/share/doc/arpack/
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${CP} ${WRKSRC}/DOCUMENTS/ex-*.doc.gz ${DOCSDIR}
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${INSTALL_DATA} ${DISTDIR}/${DIST_SUBDIR}/ug.ps.gz ${DOCSDIR}
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.endif
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.include <bsd.port.post.mk>
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@ -1,2 +1,3 @@
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MD5 (arpack/arpack96.tar.gz) = fffaa970198b285676f4156cebc8626e
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MD5 (arpack/patch.tar.Z) = f323dafc1610d45fb98987cf76a7d344
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MD5 (arpack/patch.tar.gz) = 14830d758f195f272b8594a493501fa2
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MD5 (arpack/ug.ps.gz) = 79cc51e4812c75873adafcad2185842e
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60
math/arpack/files/patch-ARmake.inc
Normal file
60
math/arpack/files/patch-ARmake.inc
Normal file
@ -0,0 +1,60 @@
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--- ARmake.inc.orig Fri Apr 26 14:12:57 1996
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+++ ARmake.inc Thu May 29 09:36:26 2003
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@@ -25,14 +25,14 @@
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# | other than your home directory. |
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# %--------------------------------------%
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#
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-home = $(HOME)/ARPACK
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+home = %%WRKDIR%%/ARPACK
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#
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# %--------------------------------------%
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# | The platform identifier to suffix to |
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# | the end of library names |
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# %--------------------------------------%
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#
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-PLAT = SUN4
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+PLAT = FBSD
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#
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# %------------------------------------------------------%
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# | The directories to find the various pieces of ARPACK |
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@@ -43,7 +43,7 @@
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UTILdir = $(home)/UTIL
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SRCdir = $(home)/SRC
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#
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-DIRS = $(BLASdir) $(LAPACKdir) $(UTILdir) $(SRCdir)
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+DIRS = $(LAPACKdir) $(UTILdir) $(SRCdir)
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#
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# %-------------------------------------------------------------------%
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# | Comment out the previous line and uncomment the following |
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@@ -57,9 +57,9 @@
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# | The name of the libraries to be created/linked to |
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# %---------------------------------------------------%
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#
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-ARPACKLIB = $(home)/libarpack_$(PLAT).a
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+ARPACKLIB = $(home)/libarpack.a
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LAPACKLIB =
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-BLASLIB =
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+BLASLIB = %%BLAS_LIBS%%
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#
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ALIBS = $(ARPACKLIB) $(LAPACKLIB) $(BLASLIB)
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#
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@@ -101,8 +101,8 @@
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# | for your system. |
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# %-----------------------------------------%
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#
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-FC = f77
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-FFLAGS = -O -cg89
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+FC = %FC%
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+FFLAGS = %FFLAGS%
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LDFLAGS =
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CD = cd
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@@ -112,7 +112,7 @@
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LN = ln
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LNFLAGS = -s
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-MAKE = /bin/make
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+MAKE ?= /usr/bin/make
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RM = rm
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RMFLAGS = -f
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@ -1,22 +1,24 @@
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ARPACK is a collection of Fortran77 subroutines designed to solve large
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scale eigenvalue problems.
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The package is designed to compute a few eigenvalues and corresponding
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eigenvectors of a general n by n matrix A. It is most appropriate for large
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sparse or structured matrices A where structured means that a matrix-vector
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product w <- Av requires order n rather than the usual order n**2 floating
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point operations. This software is based upon an algorithmic variant of the
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Arnoldi process called the Implicitly Restarted Arnoldi Method (IRAM). When
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the matrix A is symmetric it reduces to a variant of the Lanczos process
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called the Implicitly Restarted Lanczos Method (IRLM). These variants may be
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viewed as a synthesis of the Arnoldi/Lanczos process with the Implicitly
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Shifted QR technique that is suitable for large scale problems. For many
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standard problems, a matrix factorization is not required. Only the action
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of the matrix on a vector is needed. ARPACK software is capable of solving
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large scale symmetric, nonsymmetric, and generalized eigenproblems from
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significant application areas. The software is designed to compute a few (k)
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eigenvalues with user specified features such as those of largest real part
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or largest magnitude. Storage requirements are on the order of n*k locations.
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No auxiliary storage is required. A set of Schur basis vectors for the desired
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k-dimensional eigen-space is computed which is numerically orthogonal to working
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precision. Numerically accurate eigenvectors are available on request.
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sparse or structured matrices A where structured means that a matrix-vector
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product w <- Av requires order n rather than the usual order n2 floating point
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operations. This software is based upon an algorithmic variant of the Arnoldi
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process called the Implicitly Restarted Arnoldi Method (IRAM). When the matrix
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A is symmetric it reduces to a variant of the Lanczos process called the
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Implicitly Restarted Lanczos Method (IRLM). These variants may be viewed as a
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synthesis of the Arnoldi/Lanczos process with the Implicitly Shifted QR
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technique that is suitable for large scale problems. For many standard
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problems, a matrix factorization is not required. Only the action of the matrix
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on a vector is needed.
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ARPACK software is capable of solving large scale symmetric, nonsymmetric,
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and generalized eigenproblems from significant application areas. The software
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is designed to compute a few (k) eigenvalues with user specified features
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such as those of largest real part or largest magnitude. Storage requirements
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are on the order of n*k locations. No auxiliary storage is required. A set
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of Schur basis vectors for the desired k-dimensional eigen-space is computed
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which is numerically orthogonal to working precision. Numerically accurate
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eigenvectors are available on request.
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WWW: http://www.caam.rice.edu/ARPACK/
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NOTE: You MUST link with BLAS library or a replacement like ATLAS.
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@ -1,6 +1,7 @@
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include/arpack.h
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include/arpack.h
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lib/libarpack.a
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share/doc/arpack/ex-complex.doc.gz
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share/doc/arpack/ex-nonsym.doc.gz
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share/doc/arpack/ex-sym.doc.gz
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@dirrm share/doc/arpack
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%%PORTDOCS%%share/doc/arpack/ex-complex.doc.gz
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%%PORTDOCS%%share/doc/arpack/ex-nonsym.doc.gz
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%%PORTDOCS%%share/doc/arpack/ex-sym.doc.gz
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%%PORTDOCS%%share/doc/arpack/ug.ps.gz
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%%PORTDOCS%%@dirrm share/doc/arpack
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