Result for 0091DB00E46A45B5691B3EFDD85E3803F32FD339

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/core/tests/__pycache__/test_deprecations.cpython-36.pyc
FileSize28053
MD5A2B25DE90D5CA5CFF310B650E15F57E7
SHA-10091DB00E46A45B5691B3EFDD85E3803F32FD339
SHA-25615091744EA791034D0A663CE9212EE2B9F298096DFD1CF33E2F54166B3929152
SSDEEP384:RItfnmYuI33mYmxveGCIcXB6QsPFoDWVYZR3QmNvxPfSD1h9jpaWA:RINbBnbSmfIcoQseDWVYvZENPA
TLSHT169C294DA31860B2EFD47F7F9A62E1A404A76912F130C5153F08E865F2F0DAD44BBE598
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
MD52B0266EE61EF88E4A20BCE8268BF1C0A
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.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease3.el7
PackageVersion1.12.1
SHA-166ED7222D1E4DAEA23F414120B0B8BA6E888CFF5
SHA-256CCBA0CDF3DBCEC5B135D8E12C3090AAC6D288EBC30A9E33AADDBA411922779CD