Result for 0276CE118021253C2F73677700B396975DC7CC50

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/linalg/tests/__pycache__/test_linalg.cpython-36.pyc
FileSize46406
MD5BECC84D048683AB1B7381181E3E530BF
SHA-10276CE118021253C2F73677700B396975DC7CC50
SHA-2566E328C8DD35B5C210EDA6B62EA10C5F1A1388C5717384BBF7CE833442DF2EECE
SSDEEP768:PWb4oNsWLRkv71gJA47KlvQpCenSrRipXEChG3g6XGdjEZj9BFv:WLR4Bg/7KlvSCenSrRipXEChG3eOj5
TLSHT1A9239489A1B21E4BFD28F2F7842F47A4073693691358C2AB4420E25F6D453CF0DF69AD
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
MD5622573852673C8C77D5877B9786C5C08
PackageArchx86_64
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
PackageRelease1.el7
PackageVersion1.12.1
SHA-10EC6C3EA21290C59782D4634AB1E650A866BF697
SHA-256961139535A2C96904A495B89CBF59A13AC940CD8B07A08FC98867145083F2B88