Result for 01392A6369AE2CD7A07E5213C0F939CA16CCD404

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/__pycache__/mingw32ccompiler.cpython-36.pyc
FileSize13373
MD5A69CFAC5C5380380D33EA544B400B4AE
SHA-101392A6369AE2CD7A07E5213C0F939CA16CCD404
SHA-25632994333A73B7CB1A4A1523AF5CD4C54B95F3D5FB6BB09959E96808AD1B15526
SSDEEP384:6imNRD/F/ij5Q3h3FKc0sGv9HBrW+2Yf8yQAJz7Qn:MDN/ij5Ih3FKZdHr2YfxP2n
TLSHT1415249BE4B44DD71FEE0F2F59325803883B8933617C69487B095986E6F4B2D40672BE8
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
MD598C2D23AE8626687A46F08BD8DA65635
PackageArchaarch64
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-16A46B1CA0C80AD2FC9A8DF05451E9BD13C7104F9
SHA-25614CFA64D82764CC7EA25F19B74A1C8B41DE4D2D28E1CC82F2692E7AB628A7B6E