graph-tool 2.59+ds-4ubuntu2 source package in Ubuntu
Changelog
graph-tool (2.59+ds-4ubuntu2) noble; urgency=medium * No-change rebuild for python3.12 t64. -- Matthias Klose <email address hidden> Sat, 02 Mar 2024 21:13:40 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- amd64 arm64 s390x kfreebsd-amd64 ia64 loong64 ppc64 riscv64 all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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graph-tool_2.59+ds.orig.tar.xz | 14.0 MiB | 94ab909942a815ef8d6820627c46abed26e93934790dc12ac07ceb1eaef675e9 |
graph-tool_2.59+ds-4ubuntu2.debian.tar.xz | 354.1 KiB | aaf66ffe7d19d3fee77174800b80c42ec09d1a682c408845f52e85e13d52dd55 |
graph-tool_2.59+ds-4ubuntu2.dsc | 3.0 KiB | 894e1dac54786817c9e7c7d4a8666e3056801c8f047d0b40e6a10275f8694e9e |
Available diffs
- diff from 2.58+ds-2ubuntu2 to 2.59+ds-4ubuntu2 (4.4 KiB)
- diff from 2.59+ds-4ubuntu1 to 2.59+ds-4ubuntu2 (337 bytes)
Binary packages built by this source
- graph-tool-doc: Efficient network analysis -- doc
graph-tool is an efficient Python module for manipulation and statistical
analysis of graphs (a.k.a. networks). Contrary to most other Python modules
with similar functionality, the core data structures and algorithms are
implemented in C++, making extensive use of template metaprogramming,
based heavily on the Boost Graph Library. This confers it a level of
performance that is comparable (both in memory usage and computation time)
to that of a pure C/C++ library.
.
This package provides the documentation and sample material.
- python3-graph-tool: Efficient network analysis -- Python
graph-tool is an efficient Python module for manipulation and statistical
analysis of graphs (a.k.a. networks). Contrary to most other Python modules
with similar functionality, the core data structures and algorithms are
implemented in C++, making extensive use of template metaprogramming,
based heavily on the Boost Graph Library. This confers it a level of
performance that is comparable (both in memory usage and computation time)
to that of a pure C/C++ library.
.
This package provides the Python material.
- python3-graph-tool-dbgsym: debug symbols for python3-graph-tool