Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/networkx/algorithms/components/tests/test_strongly_connected.py |
FileSize | 5264 |
MD5 | A2A9C4CE794A548D26C946932D3A4211 |
SHA-1 | 052C209BD19222DC3A7CEEAD05E58FCE8C810A11 |
SHA-256 | 3EB12E0304EDF66B818A3639D97B264ADC83946FD54B01A159C1C3C6F09C94E6 |
SSDEEP | 96:pPKYJQeFERpRVFERSFEHCdAmw6CLuQlv542/zbUztxFrq6K:dKYSsCql+XHXK |
TLSH | T1D6B1CB4781710811AA67169F0E7FAC1F93B22BB3861951DF312D00A8AFA536451B7EFD |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 737730 |
MD5 | 35168C461D4416F9603B5A1BD3D1F88C |
PackageDescription | tool to create, manipulate and study complex networks NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. |
PackageMaintainer | Debian Python Modules Team <python-modules-team@lists.alioth.debian.org> |
PackageName | python-networkx |
PackageSection | python |
PackageVersion | 1.9+dfsg1-1 |
SHA-1 | 754FA14E8839C05526468A28C865A61E5F082AFA |
SHA-256 | 118E2C13D7560A5E2556DAA3CFDF7044089E8CD2D6846E7D2FAA244F019A494B |
Key | Value |
---|---|
FileSize | 538308 |
MD5 | 0E950E4460990D24C8DDFDE285DC4884 |
PackageDescription | tool to create, manipulate and study complex networks (Python3) NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. . This package contains the Python 3 version of NetworkX. |
PackageMaintainer | Debian Python Modules Team <python-modules-team@lists.alioth.debian.org> |
PackageName | python3-networkx |
PackageSection | python |
PackageVersion | 1.9+dfsg1-1 |
SHA-1 | C02FF677BD2CF1CE67D1AFEEA3F2E9C89C3F1791 |
SHA-256 | DA1B0819EAFA3BE097AA444F2593E340C96EA3F1F59DEBCC42DBE7F11A93F6F5 |