Package: python3-graph-tool
Priority: extra
Section: python
Installed-Size: 336257
Maintainer: Tiago de Paula Peixoto <tiago@skewed.de>
Architecture: amd64
Version: 2.99~git
Provides: python3-graph-tool
Depends: libboost-context1.83.0 (>= 1.83.0), libboost-iostreams1.83.0 (>= 1.83.0), libboost-python1.83.0 (>= 1.83.0), libboost-python1.83.0-py313, libc6 (>= 2.38), libcairomm-1.0-1v5 (>= 1.14.5), libexpat1 (>= 2.0.1), libgcc-s1 (>= 3.4), libgmp10 (>= 2:6.3.0+dfsg), libgomp1 (>= 9), libpython3.13 (>= 3.13.0~rc3), libstdc++6 (>= 14), python3-scipy
Recommends: libgv-python, python-matplotlib, python-cairo, python-gi-cairo, python-gi, gir1.2-gtk-3.0
Filename: pool/main/p/python3-graph-tool/python3-graph-tool_2.99~git_amd64_forky_x86-64.deb
Size: 49928088
MD5sum: 7493969a17391f9a18b2dc52ccb26d6d
SHA1: 8fb0d5aaaa665e367c387605f4d1dbce3814d807
SHA256: aa1989165404d36b50c95ed795e3c9aadaf9329cbecbe20e0d5cbe96f21d065f
SHA512: 545104cc74d6d7b0ea29ba8b245ba90eb7d428ec6aa5da90c0821f6b78f4323bb82c5281521704a5d2be3d4b72aa63f3612c256a9458b4025266fa75753f324d
Description: graph-tool is an efficient python module for manipulation and statistical analysis of graphs
Homepage: http://graph-tool.skewed.de

Package: python3-graph-tool-dbgsym
Priority: optional
Section: debug
Installed-Size: 200561
Maintainer: Tiago de Paula Peixoto <tiago@skewed.de>
Architecture: amd64
Source: python3-graph-tool
Version: 2.99~git
Depends: python3-graph-tool (= 2.99~git)
Filename: pool/main/p/python3-graph-tool/python3-graph-tool-dbgsym_2.99~git_amd64_forky_x86-64.deb
Size: 5809256
MD5sum: 4eb0b1a4446dd7ec8afd3cb5839e118d
SHA1: 9720d9e8dcc1d63da63226b8af616b233784e3e0
SHA256: 7a7502fd801f7e9e2d4e8ad8ad86bb08cfbfeff98fe904c189e5df404efd8de6
SHA512: 3819ad6869974272d276bde51722e117232e6ffc228c4d54bcd8e32fe2364c7ac0103af104043ba82a0650b3d89c34bd91db5da54d95b1129961ceaa24a0388e
Description: debug symbols for python3-graph-tool
Auto-Built-Package: debug-symbols
Build-Ids: 1559da976d76ee2f76d7c3d4a7bd17a9242b750a 23504d6c98ec5e94165a58b055ef81638d1c1109 35dc203f6030a0e1cf7c9d2a04183b52ac9fc523 54ddf7b757a359ff89b55f914e3c612dd5c5e91e 54fe50708d158a9ea0ecbd74ff2eacb492928271 6a3f8643343e7d3bcf16464511c8eb8e3c150741 7e8257414177c47b1161e9b9a8c787549fe4bdb6 8bf660d8018939a498cf6a8e378f89cd6aca7406 96a41983da97704938d7fc57475d33e5fd674808 a7d7f1d245e6fa7dad4ec5febface7e117dc2e26 b54865abd065681be4ef2584441dcea7f999392f b737a186751de7663ac4d594db4f8b0999cc045f cb6b5b9c9e9c4a059a7cd34ddf35cb468992a5c6 df263323696e978cdb055e54e28c08da1345fe0c e6e5cc826464c00912ad5a688febc33de4e092f0 fb898e952236cd91aab216db3e5ba4ec98c1a640