Result for 0377D6BA8579E54506D4314D5E4FA69EB383DF09

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/tests/__pycache__/test_arraypad.cpython-34.pyo
FileSize29271
MD526EFDA862C9D6B01AC95A0D2DDE9FDD7
SHA-10377D6BA8579E54506D4314D5E4FA69EB383DF09
SHA-256B9341584F51206E41351FA3B7AECFA38620DEE11AE42B0B30F3F380AF0E1372F
SSDEEP768:0YF25TkFyMxcczH7s36utYxkDdiNi/yyvPiLiQqHbFLZo3rZ9av:0YU5ogafzH7sfYacNxyCLiQUbFLZo3VK
TLSHT178D28982D7C5CE5EF469F1B9E1248B10A56AF44ABF64CB541F52D03A2BC5FD01C2A3CA
hashlookup:parent-total8
hashlookup:trust90

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Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD587282F936483CA51EF672817D2B6BBC8
PackageArchs390x
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc23
PackageVersion1.9.2
SHA-17DD14F1C85A7CA6D46B811052C23981E4607C757
SHA-2566968ECC4DF0FF3627D27C037414C61303885CBED6FAD055893E2DF1A428FC6BC
Key Value
MD5A09D69B5FDB462486CE59ACFDC21C0EA
PackageArchppc64le
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc23
PackageVersion1.9.2
SHA-1F9D39EF4B4F9971A4B8AEC8B55BEFAF0773D6B4E
SHA-256023D269E700BB60A793F1F5179CD2057F30D331E0D6080114CB114979B4C9EAE
Key Value
MD5A536D238D46E695FC2C7F4AD9B9041DD
PackageArchaarch64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc23
PackageVersion1.9.2
SHA-121842F0F79159DC2A1AE1D2882056467DBEE39B2
SHA-2565220043D30905E05C11D1BCB97FAA4A234758E71AE64A09167CDDEA8F8919027
Key Value
MD5E47EB0F136DFE3B7248558878E26C16F
PackageArchaarch64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc22
PackageVersion1.9.2
SHA-1580DB9DD1963F8D95920B8CC84BE16ABF715D68D
SHA-2565AA680A7774B206172ACEC893FC8F0999A8D11066BF47C57D24C2EECB3F50A92
Key Value
MD57F4B9A31C916FDA1999B5D4AC717C47D
PackageArchs390x
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc22
PackageVersion1.9.2
SHA-1D7D5C9507242A4C8A454949E549CC43C1E112BD4
SHA-25651F46F5A7DC11EAE87940B55F3274C79B0974A61470025AB63788465FEB721C7
Key Value
MD549B9C4D81E4334F8B60BC0782881DD65
PackageArchppc64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc22
PackageVersion1.9.2
SHA-14F8E0E460D0B344DD87E0B9EB98D376368540BD8
SHA-25688C0BE48B1D3CE73D6F5A77C1E9D84A60154DC34E0C4B71EA378F886516807FB
Key Value
MD51FBEE834511605A47E88E19560A3DFE8
PackageArchppc64le
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease1.fc22
PackageVersion1.9.2
SHA-1E280C8FAF445459DA004A5603DE99A910B8615C1
SHA-256CFB6E33D3EB44CB35CCF16579A750D9133F0F797AD799BA948F3E0347D1A771D
Key Value
MD5363A1A36608740AC0B746E1F994D8D64
PackageArchppc64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc23
PackageVersion1.9.2
SHA-115AF6E4CD908CD3C6A60DB07B33B6F110FEBD470
SHA-25656517568F0260CA0C6ABAC441E2054A7488239FE73059C6685BA294CC7D3DAD0