| Key | Value | 
|---|---|
| FileName | ./usr/share/doc/packages/networkx-2.1/examples/drawing/plot_directed.py | 
| FileSize | 1045 | 
| MD5 | 7DCD766CAF94EBCE0B5A992C07574571 | 
| SHA-1 | 0888EEB19092DA2A61AE8538E7BC2A894EB39972 | 
| SHA-256 | 56FB98DCADE062E55B2F5F6B1CB221BCF14FEB420F6416216D2A5B7C69956004 | 
| SSDEEP | 24:K7vxv6nERRz726jqdyIHov9gj6JtqDa65LX:+MmEE+O26J/657 | 
| TLSH | T15F110E4786F632242F0E45953DE4AD09925182E0DD113BBFFFCE8B940FA2784412EDB8 | 
| hashlookup:parent-total | 3 | 
| hashlookup:trust | 65 | 
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value | 
|---|---|
| MD5 | 99E0DCFE128D4E1334C673C554D1CE97 | 
| PackageArch | noarch | 
| PackageDescription | Documentation and examples for python-networkx. | 
| PackageName | python-networkx-doc | 
| PackageRelease | lp151.1.4 | 
| PackageVersion | 2.1 | 
| SHA-1 | 9849FAD6D94ABF24684E6AC086A423A766D2C4BF | 
| SHA-256 | 4B4A6829602DB89B1FD48423435F641E8E226988D4B380334B7FA15D062151C2 | 
| Key | Value | 
|---|---|
| MD5 | 171DA8A03E260DD41AF355FCFC5ABFA6 | 
| PackageArch | noarch | 
| PackageDescription | Documentation and examples for python-networkx. | 
| PackageName | python-networkx-doc | 
| PackageRelease | lp150.1.2 | 
| PackageVersion | 2.1 | 
| SHA-1 | AD3C2D536E45EF49412EC6CB1795CB10109A9062 | 
| SHA-256 | 785FD7AF066A165F898736E209DA872CA9F6D33F724A231ED33146846162B26D | 
| Key | Value | 
|---|---|
| FileSize | 957548 | 
| MD5 | B5CF21606BABF1C29A52C10C19B33ADF | 
| 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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> | 
| PackageName | python-networkx | 
| PackageSection | python | 
| PackageVersion | 2.1-1ubuntu2 | 
| SHA-1 | C3A7C31368D9FC3B54CD64C9223B4837494E5BC8 | 
| SHA-256 | 5776271E9EDB2A642005569835FDE23E4E1779C2B90563AEE2A74FAA256B1D6F |