Result for 001DC72E96171C904C0BBEC3EFE437A2BE8EBD08

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/testing/__pycache__/utils.cpython-34.pyc
FileSize66906
MD5D60AAD171C9B35298C5F1714E5355EF1
SHA-1001DC72E96171C904C0BBEC3EFE437A2BE8EBD08
SHA-25688B91AC64E8B9C1139D4BBD8F117919054AC47F0AA19BFF4ACCEA56813AFBD77
SSDEEP1536:UKW7G/eVwqiMAKMK7l4bLcwu6XsNzqRkQ2LP6nsJ27FObw1oV:U57cqdObu6XsNGxnsJ2hOsS
TLSHT16A63B5063BC00A2AF552F2B6A0791252CF73E55F2A106740B0FDD57C3FD57249ABB2A9
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5156D0345EA7E630030A1446A47707F10
PackageArchx86_64
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.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease1.el7
PackageVersion1.12.1
SHA-18B0655197DA77B25EA1C2F917619828E11E4C47A
SHA-256E456F3DB79B477920F275C8042698D68241CC5BB3A24253181FE2B2AF2C97E30