brial 1.2.12-1.1 source package in Ubuntu

Changelog

brial (1.2.12-1.1) unstable; urgency=medium

  * Non-maintainer upload.
  * Rename libraries for 64-bit time_t transition.  Closes: #1062028

 -- Steve Langasek <email address hidden>  Wed, 28 Feb 2024 05:16:29 +0000

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

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brial_1.2.12-1.1.dsc 2.4 KiB db7a3c82bdb113e1f62c7c01457d1a057546d4baffd036fc00728b3ba2f08857
brial_1.2.12.orig.tar.gz 1.6 MiB b9d39279c1021ca71fdda0dd925373f7738ebcfc4007aaf34b276b0c53ee1b88
brial_1.2.12-1.1.debian.tar.xz 7.9 KiB 5a55954ae7779c02f712cea930f1ed2f58700788e3e84790616ee009fccdb097

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Binary packages built by this source

libbrial-dev: polynomials over Boolean Rings, core development files

 The core of BRiAl is a C++ library, which provides high-level data
 types for Boolean polynomials and monomials, exponent vectors, as
 well as for the underlying polynomial rings and subsets of the
 powerset of the Boolean variables. As a unique approach, binary
 decision diagrams are used as internal storage type for polynomial
 structures. On top of this C++-library a Python interface
 is provided. This allows parsing of complex polynomial systems, as well
 as sophisticated and extendable strategies for Groebner base
 computation. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl core development files.

libbrial-groebner-dev: development files for libbrial-groebner

 The core of BRiAl is a C++ library, which provides high-level data
 types for Boolean polynomials and monomials, exponent vectors, as
 well as for the underlying polynomial rings and subsets of the
 powerset of the Boolean variables. As a unique approach, binary
 decision diagrams are used as internal storage type for polynomial
 structures. On top of this C++-library a Python interface
 is provided. This allows parsing of complex polynomial systems, as well
 as sophisticated and extendable strategies for Groebner base
 computation. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the development files for libbrial-groebner.

libbrial-groebner3t64: computer algebra routines of BRiAl

 The core of BRiAl is a C++ library, which provides high-level data
 types for Boolean polynomials and monomials, exponent vectors, as
 well as for the underlying polynomial rings and subsets of the
 powerset of the Boolean variables. As a unique approach, binary
 decision diagrams are used as internal storage type for polynomial
 structures. On top of this C++-library a Python interface
 is provided. This allows parsing of complex polynomial systems, as well
 as sophisticated and extendable strategies for Groebner base
 computation. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl shared library libbrial_groebner.

libbrial-groebner3t64-dbgsym: debug symbols for libbrial-groebner3t64
libbrial3t64: polynomials over Boolean Rings, shared library

 The core of BRiAl is a C++ library, which provides high-level data
 types for Boolean polynomials and monomials, exponent vectors, as
 well as for the underlying polynomial rings and subsets of the
 powerset of the Boolean variables. As a unique approach, binary
 decision diagrams are used as internal storage type for polynomial
 structures. On top of this C++-library a Python interface
 is provided. This allows parsing of complex polynomial systems, as well
 as sophisticated and extendable strategies for Groebner base
 computation. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl shared library libbrial.

libbrial3t64-dbgsym: debug symbols for libbrial3t64
python3-brial: polynomials over Boolean Rings, Python 3 module

 The core of BRiAl is a C++ library, which provides high-level data
 types for Boolean polynomials and monomials, exponent vectors, as
 well as for the underlying polynomial rings and subsets of the
 powerset of the Boolean variables. As a unique approach, binary
 decision diagrams are used as internal storage type for polynomial
 structures. On top of this C++-library a Python interface
 is provided. This allows parsing of complex polynomial systems, as well
 as sophisticated and extendable strategies for Groebner base
 computation. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl Python 3 module.