Result for 041CDE05B3D20F9C5EA912FC3BA8080937E3D9FB

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/testing/__pycache__/setup.cpython-34.pyc
FileSize810
MD5E4E1F51ADAB7C950A7957356733A4716
SHA-1041CDE05B3D20F9C5EA912FC3BA8080937E3D9FB
SHA-25659E2DDD297A8B72721A26045C16832F15F22CD5052028754AB31556D06B7EAB0
SSDEEP24:BOI4TKoS7xcGiMdRFriRFLF7lIBxwiMgO5:oVnGBdRFccxwBh5
TLSHT19301FD900B450EDBE999F378A015462E8EB8F1FB9FB477015F2981979CC0192086750F
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
MD5E1BF1D102823E2FD7B3EF70FAF964482
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
PackageNamepython34-numpy
PackageRelease1.el7
PackageVersion1.12.1
SHA-1D3B72ACD21CBAFACF33E5234864C2EA5B12C9B7D
SHA-25680FD522DE91D948F05F3DDEA15D3B5D1AA48FA707C8E6A07658021C15DEC8F4C