Parents (Total: 3)

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	9868AC9DE370B8EAAE8720B62EF6FEF1
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 * 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. * Unit-tested
PackageName	python38-networkx23
PackageRelease	2.16
PackageVersion	2.3
SHA-1	83BA465812FEF713D7AD7FBF36FD8A4ED9C32C73
SHA-256	74ACD67BAC32796E4DB391FF0AB53C82092250F24AB75AE2DA527589C8BB64E4

Key	Value
MD5	6D40C648E05D9F3DC283CD009BC7FEE6
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 * 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. * Unit-tested
PackageName	python38-networkx23
PackageRelease	2.18
PackageVersion	2.3
SHA-1	13023A66D48603347E2B31A3238DE28A13F3E0F7
SHA-256	A26ABB246325D847E4280F5CE0AED55D75E8E905FA431BA9461952CB7C104029

Key	Value
MD5	C0F6712768B2B8609F25BA9D4FD43675
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 * 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. * Unit-tested
PackageName	python3-networkx
PackageRelease	2.5
PackageVersion	2.4
SHA-1	3B339F234F4C337640016D1CEC771FD54FB1FF16
SHA-256	99505FEFFD0DA48466B4C33F2436E72EE29BC0ED4E935C01EC9C5652AB758BF3