Result for 06F794FDC2E607B2100D453A539F7B513C08D9AA

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/networkx/algorithms/voronoi.py
FileSize3399
MD50EDBCCE9726A5ECB63AC5F175CD4148B
SHA-106F794FDC2E607B2100D453A539F7B513C08D9AA
SHA-25682308C147AD6D2BBEF43B34CD9DCA1A183FE6A059BDBC1D83A5D815379083840
SSDEEP48:YfQFOeVYyAo3fyMwEpzRoz+zF8z5JV7Mal1r9ro7lY8I0XMRpofB1p4wuyjZ7xAq:YWVYCf7LpmyzWPVX1rhoS8IRSfBHc8F
TLSHT142610D5AB9962B35429383A101DF73CED294C06B5A16307CB1BC92A82F47D3452FFACD
tar:gnameroot
tar:unameroot
hashlookup:parent-total20
hashlookup:trust100

Network graph view

Parents (Total: 20)

The searched file hash is included in 20 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5998CC2A8F7980A98A6B734742DB458A7
PackageArchnoarch
PackageDescriptionNetworkX (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
PackageNamepython2-networkx
PackageReleaselp150.3.2
PackageVersion2.2
SHA-10F53014BF810F4FC99DE9EED55FBD602F188C7F5
SHA-2562834058928460A1811C103A7A4571835E9A4096C3BCBD81364C757D1CA5355C3
Key Value
MD58F6442F9F2B8BEFB3E357EE3C1DF88CA
PackageArchnoarch
PackageDescriptionNetworkX (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
PackageNamepython3-networkx
PackageReleaselp151.1.4
PackageVersion2.1
SHA-114FAA3D58CB815EAAE82841CD35E735C8CD78FC0
SHA-256FF71BB4D6E70F6570B288976CD4EECFCC661997D1D4322092705256306057F3D
Key Value
MD50AC69AD34720C6A8F423D3BBB896F25E
PackageArchnoarch
PackageDescriptionNetworkX (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
PackageNamepython2-networkx
PackageReleaselp150.1.2
PackageVersion2.1
SHA-116A46E1FA3D5E3E73CE8616321A785A4EB6C9ED1
SHA-2568CF40D193055118E9A87A126B916E7AD881FAD9E52C03E0308C0372CCCC29693
Key Value
MD55CE343A8C6D18CF095E86FB617DD2FA3
PackageArchnoarch
PackageDescriptionNetworkX (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
PackageNamepython2-networkx
PackageRelease1.3
PackageVersion2.2
SHA-131045B386ADB75350CF118606D1E19253E8B18E7
SHA-256AFC52994EB4624D4D1FAB66DFF65941924E26BEE1881F511D33FA5F9C61E07B9
Key Value
MD59FB46E1B1F62C79B6114D9629C5ADF05
PackageArchnoarch
PackageDescriptionNetworkX is a Python 2 package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
PackageMaintainerCBS <cbs@centos.org>
PackageNamepython2-networkx
PackageRelease3.el7
PackageVersion2.2
SHA-1430464EC83F90A1934325E139126F331DB0DEB1B
SHA-256BC3FA47D3C6915E08F95209F75A6681AF0959D9B383098F50D40A5CA638F2A36
Key Value
FileNamehttp://mirror.math.princeton.edu/pub/blackarch/blackarch/os//x86_64//python2-networkx-2.2-3-any.pkg.tar.zst
MD56DF6AB5DEC3BA92491B00F4EFACC563F
SHA-16F9A4FB8359C48404355B32FB861E0EB4DEDD4C2
SHA-2561BF1B16B8905C6582045FBADED91EB77A7EEC1B095500A381B9875D72481F137
SSDEEP24576:HvOLcIoc/vflOAfNZJVMYPp0LXDUzUmEJwAvtXq0AgLKY30AYX1T+fFOydLM:tIoc/lOAzJLpCYzkCqa1gLMLp+fUytM
TLSHT1B865335D263773920A6D78208C12565D16E794C3F2E7A8FF4E5F9F8A6E0D8482DC3E12
Key Value
MD58756F4C218001753AE6426586D9D104D
PackageArchnoarch
PackageDescriptionNetworkX (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
PackageNamepython3-networkx
PackageReleaselp150.1.2
PackageVersion2.2
SHA-1806B9188E78E25607376CAE12CC52D56DE4A541A
SHA-256B8E22EE7410FCE571392AF4EA71A5A611EC19C8FA5CD0540191264A51B12FDE5
Key Value
FileSize818204
MD5D0A39D3DA3EE5FA829BE900BD2D97AAC
PackageDescriptiontool to create, manipulate and study complex networks (Python3) 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 the Python 3 version of NetworkX.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-networkx
PackageSectionpython
PackageVersion2.2-1
SHA-1928805A78B35D9F0CE490D43F8984AA4EF43F6D2
SHA-2564E41B65AE5642062882332AF33A6F76025E9BD09A704404C9A0C1884D7285BDB
Key Value
MD530DF63F2F14D085F62DF0203F45BA756
PackageArchnoarch
PackageDescriptionNetworkX (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
PackageNamepython3-networkx
PackageRelease1.2
PackageVersion2.2
SHA-1A5DA4660743642A97B26ECAC182A06274317C93C
SHA-25677CABC8F6057AC11F2FE1B54302338EF20FD71DBEB815A9FCE3B20B42675AF14
Key Value
FileSize957548
MD5B5CF21606BABF1C29A52C10C19B33ADF
PackageDescriptiontool 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-networkx
PackageSectionpython
PackageVersion2.1-1ubuntu2
SHA-1C3A7C31368D9FC3B54CD64C9223B4837494E5BC8
SHA-2565776271E9EDB2A642005569835FDE23E4E1779C2B90563AEE2A74FAA256B1D6F