| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-networkx-doc/html/reference/classes/generated/networkx.DiGraph.pred.html |
| FileSize | 11158 |
| MD5 | 23D53942A03A0E2CD70A404B8389B340 |
| SHA-1 | 01091DC6B024EB335D7EED80E640648A384DEB70 |
| SHA-256 | 97583BC68EC268645C86F9C663C035B5BD6F07B3DCFF06298882A31701933E2A |
| SSDEEP | 96:AdUDmpUTp5RrWI8uY17LHQx2jmOj+MatzArUBmkmsNvK3Ys2sXbZyp/dITnZDmBM:gUTLBbVuVqVhvKY9IquMSYc |
| TLSH | T1913241321CF96977411342E4AE963F2871C7A95BE20A1D69B1FC13799F82F94AD0B30D |
| 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 |