Result for 03F1DD7B25806A9D699B1726ECEDDD705185D69B

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/tests/__pycache__/test_fcompiler_gnu.cpython-36.pyc
FileSize2970
MD5F55115E476EE6738C8BB1F6507B3F9E4
SHA-103F1DD7B25806A9D699B1726ECEDDD705185D69B
SHA-2569FD0938D8C27DC20B39D02FDA3FB9377DDC9102905B7A0EAB40B003DB6F57190
SSDEEP48:lZKWZOhhGHEqHkhQ2XMnw6/2oUI818v6O1rlmV/VhGByGw:lnuYTHkhHmXlV1xmJUw
TLSHT1CA51731C688A8EF5F926F7F587CA0FA1C3F5C3BA9384C06B5A5841310B103FC0A6292D
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
MD596F1E09D933D373B32E122AE47C30A69
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.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-1B1CCAA7A355D9E011C723E3E00B47E8446A7886C
SHA-256FB2DEBC3E677C4BABA71F9C43D29A4E385AF2D7FB2533258136DE29C102403E0