Key | Value |
---|---|
FileName | ./usr/share/doc/python-networkx-doc/html/reference/readwrite/gexf.html |
FileSize | 12622 |
MD5 | A9EBC9476EF044BB9EEEE445E41243EA |
SHA-1 | 009548141FCF8C84E1979C61CC74E87F93394285 |
SHA-256 | 43B5EA1719790C72CC893EBBE4E68EA467799D614469AD7A278C1FDDEA054F71 |
SSDEEP | 96:o8cDmQ9pZTs5qrWIDliyu1mrbogTwpjat2AuUkm3msVv+SDVwyXCqcI+pDYXIHDm:QvZTUEbp2wrbr2MvtCHFYP7JE1Soc |
TLSH | T19B42243204EE1837425252E8AB823B397987E52BC26B1D75B1FC22B54F92F58DD0B71D |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 6191220 |
MD5 | CEC58D5C6D3BBBA4C98D1469BA3AE785 |
PackageDescription | tool to create, manipulate and study complex networks - documentation 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 documentation for NetworkX. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python-networkx-doc |
PackageSection | doc |
PackageVersion | 2.2-1 |
SHA-1 | BD9AF114E0922B31399D07EB12EF40BB31877D83 |
SHA-256 | F377CF8983A948F2E0845E4B29BD4C006347F10C505BFED6F2679D774004F0E7 |