Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/networkx/generators/tests/__pycache__/test_small.cpython-36.pyc |
FileSize | 6810 |
MD5 | 516C9D3705AFCF9166491C70B9F8A2AF |
SHA-1 | 0288142DD8C53F9F04162D320471057389E4BEB8 |
SHA-256 | 7B6F3DEEE556580F1413DDD30D4CA7B9A102E6ADA96C63E1D5B06FB6573F2D67 |
SSDEEP | 96:GL9Q/AwAjAxuNWbyh4bznKt2tq/fgAL81Sx+rooCtiDIkEEp:WvWeaiiQArD6iDIkZp |
TLSH | T1CCE14A4791C4DC32F26FF5B901262656B923B61A2B8BF34FD108D4D9719B8A346B03DE |
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 |
---|---|
MD5 | E940F9570AB0C05F966B762EFB7EAC30 |
PackageArch | noarch |
PackageDescription | NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features: * Includes standard graph-theoretic and statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-networkx |
PackageRelease | lp150.1.5 |
PackageVersion | 2.0 |
SHA-1 | AB0A1CDC847EF6A403D21608F5019D51DC4BE111 |
SHA-256 | F96BA7DE369F71FBBF062D349963F481C36A2594A70AEF552524B602C7AA2573 |
Key | Value |
---|---|
MD5 | 8DE405D83124C640ECEDFBAA605E13AA |
PackageArch | noarch |
PackageDescription | NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features: * Includes standard graph-theoretic and statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-networkx |
PackageRelease | lp151.2.2 |
PackageVersion | 2.0 |
SHA-1 | 612918F463F6F7A8C9751D9802548A09B9C72482 |
SHA-256 | 6B02BF156641A298ACB0A54B68015DB6A6F5A8345673C5ACBAF9CB974AEADDC4 |