Result for 03E16815E60F383F37FC6F29D92F7904352B3B86

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/__pycache__/utils.cpython-34.pyo
FileSize30962
MD58FD9542C2FD38886FC992A3C5E7F294C
SHA-103E16815E60F383F37FC6F29D92F7904352B3B86
SHA-2561DB89708FD339ADA597A41FE9F5F3D9DD372F58BDB2FA62297DA7F733661577A
SSDEEP768:sf0vbf+kG9n0IHM1+2+h9e5wGnbcy+FjJwrULmhW:jbFG9n0IH12890LawULmhW
TLSHT1E2D2D5946F81596BF59AF2F160B04603EBB2D05B57062B02B3EDD1F82FD276188BF185
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

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
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
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
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