slepc 3.19.2+dfsg1-2 source package in Ubuntu

Changelog

slepc (3.19.2+dfsg1-2) unstable; urgency=medium

  * update makefile hacking in debian/tests. Upstream makefile now
    allows for slepcvariables under SLEPC_DIR, remove path local to
    source dir
  * debian patch skip_test7f.patch provides env variable SKIP_TEST7F
    to skip test7f during make clean (debian/tests). Needed for i386
    which fails test7f, see upstream Issue #81.

 -- Drew Parsons <email address hidden>  Thu, 04 Jan 2024 16:48:54 +0100

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
devel
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
slepc_3.19.2+dfsg1-2.dsc 3.3 KiB 1b41be6c77dc9051d87c98d661e7576707b739d6646069a4bccce2c7a1b6289a
slepc_3.19.2+dfsg1.orig.tar.xz 3.4 MiB 37fc6ad5f294c5a69c773467065788cd3868c355a4f1eb6186ec2f789ad2ae4c
slepc_3.19.2+dfsg1-2.debian.tar.xz 20.4 KiB 25eaf4247ed7cefa83592d23d2b0417dc13b1c95df3e864935faf89043e66216

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Binary packages built by this source

libslepc-complex-dev: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This is a dummy package which depends on the latest version of SLEPc
 with complex number support.

libslepc-complex3.19: No summary available for libslepc-complex3.19 in ubuntu noble.

No description available for libslepc-complex3.19 in ubuntu noble.

libslepc-complex3.19-dbgsym: No summary available for libslepc-complex3.19-dbgsym in ubuntu noble.

No description available for libslepc-complex3.19-dbgsym in ubuntu noble.

libslepc-complex3.19-dev: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains the static libraries, shared links, and header files
 for SLEPc 3.19 with complex numbers.

libslepc-real-dev: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This is a dummy package which depends on the latest version of SLEPc
 with real number support.

libslepc-real3.19: No summary available for libslepc-real3.19 in ubuntu noble.

No description available for libslepc-real3.19 in ubuntu noble.

libslepc-real3.19-dbgsym: No summary available for libslepc-real3.19-dbgsym in ubuntu noble.

No description available for libslepc-real3.19-dbgsym in ubuntu noble.

libslepc-real3.19-dev: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains the static libraries, shared links, and header files
 for SLEPc 3.19 with real numbers.

libslepc3.19-dev-examples: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains example, test, and tutorial scripts for SLEPc 3.19.

libslepc64-complex-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This is a dummy package which depends on the latest version of SLEPc
 with complex number support and 64-bit indexing.

libslepc64-complex3.19: No summary available for libslepc64-complex3.19 in ubuntu noble.

No description available for libslepc64-complex3.19 in ubuntu noble.

libslepc64-complex3.19-dbgsym: No summary available for libslepc64-complex3.19-dbgsym in ubuntu noble.

No description available for libslepc64-complex3.19-dbgsym in ubuntu noble.

libslepc64-complex3.19-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains the static libraries, shared links, and header files
 for SLEPc 3.19 with complex numbers and 64-bit indexing.

libslepc64-real-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This is a dummy package which depends on the latest version of SLEPc
 with real number support and 64-bit indexing.

libslepc64-real3.19: No summary available for libslepc64-real3.19 in ubuntu noble.

No description available for libslepc64-real3.19 in ubuntu noble.

libslepc64-real3.19-dbgsym: No summary available for libslepc64-real3.19-dbgsym in ubuntu noble.

No description available for libslepc64-real3.19-dbgsym in ubuntu noble.

libslepc64-real3.19-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains the static libraries, shared links, and header files
 for SLEPc 3.19 with real numbers and 64-bit indexing.

slepc-dev: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This is a dependency package which depends on the latest version of SLEPc.

slepc3.19-doc: Scalable Library for Eigenvalue Problem Computations

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This package contains the documentation and examples for SLEPc.

slepc64-dev: Scalable Library for Eigenvalue Problem Computations (64-bit)

 SLEPc is a software library for the solution of large scale sparse eigenvalue
 problems on parallel computers. It is an extension of PETSc and can be used
 for either standard or generalized eigenproblems, with real or complex
 arithmetic. It can also be used for computing a partial SVD of a large,
 sparse, rectangular matrix.
 .
 This is a dependency package which depends on the latest version of
 SLEPc with 64-bit indexing.