Result for 037AA58EA72A1DE60843BC98370EA07CB1A6A005

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/__pycache__/matlib.cpython-36.pyc
FileSize9976
MD5D8BEFE528F0B334FD2EF05F97F4A2F5C
SHA-1037AA58EA72A1DE60843BC98370EA07CB1A6A005
SHA-256C9F2666E50F9FE2FF4A42BA90F6D15A34B3DD1F74502024123F0994FD8CD044A
SSDEEP192:9bwDX+6pOygxGn1lkhX5wDQyDbkK65wP5YehtyKUh97gzhqFdGvvbxU4oJttnKqt:9epW07ksQ+JRhbHK7gzsOvboBj+RJ14/
TLSHT10422F1062E851AA9E6D2F7F7D1DA0C13DB24D0375E9E7816309E60B41F1BD62617C78C
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