Result for 0193E07137106AF888B79D375E7601EBB027E6AB

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/__pycache__/log.cpython-36.pyc
FileSize2471
MD5CB0B811A28183AEA66A906175EAC8E6E
SHA-10193E07137106AF888B79D375E7601EBB027E6AB
SHA-2562B06ECF58D6FD10F18AE490B2FE3A0E2107EC177C45D8E0503D548829702A6FE
SSDEEP48:USMB5KDHDAICVIGa0ES2N2z2C83ePCQPXbVGBHhLy:FgUDHDsajSTB/KGbVe+
TLSHT19B5142828589455BFEE5F2B4800633206671333A978CF693771C706A0E8D7DA0D35A8F
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
MD58C009189374D738736A9BEAAF7B904C7
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
PackageRelease1.el7
PackageVersion1.12.1
SHA-13B9092023D90F3E94A038BFD189332B1E13F7ADC
SHA-25602F12DB1968A100CA94B2108B9752F9F89FF882186BD98D951B431A4FBEA16CD