Result for 021571B4CC0C1E0D6AB5A3403864D5BDF9221743

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/ma/__pycache__/testutils.cpython-34.pyc
FileSize9286
MD504B719D49029E036992827B7777ADB4F
SHA-1021571B4CC0C1E0D6AB5A3403864D5BDF9221743
SHA-2567BA2B87604AE500525DE7E3A6A45849CB9888AEDA289BC2965E5A06BC6CBE8B6
SSDEEP192:cAXWSBPhz0M0sF6KOfLpB25LOEEgyCE5qEkxYJhiJ+r9yMuC:1WSlhz0M0sF63f9BeLOEE35MxCluC
TLSHT1DA12408163D1096FF025F2BAA63613079FFBF70A6F44370022B3E9792ED27161966198
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