Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/networkx/readwrite/tests/__pycache__/test_sparse6.cpython-36.pyc |
FileSize | 4429 |
MD5 | 6E64D85579A2A824DEE15266A1F09C99 |
SHA-1 | 003312605B644801379C94C0AB12FC0D84C5EFDF |
SHA-256 | ECA9B68979DFF8B0A495A97D31EBFCC5791049DC079DC492E3EE19BC89E7BF6F |
SSDEEP | 96:BIt2UWZf5woe/E+zD9FrbJNKNXtW7cA8kAA/N34:O3WZre8+/9Fr9N370IlI |
TLSH | T18E913047A44DAE3BF82CF7BCDD0A432015ABD648AB4BE25FC510C2963E4564A195353F |
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 |