Result for 0138D9EC3A724EB754E3CBB51AAF1A775BE27F18

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/matrixlib/__pycache__/__init__.cpython-36.pyc
FileSize445
MD5E6305893DB07F683EE66391A1DA85E14
SHA-10138D9EC3A724EB754E3CBB51AAF1A775BE27F18
SHA-256B2E06AA9D52C45DFA47595231025E5DD05AA53F1144F6A3DBC55A2F06597AD5F
SSDEEP12:I06BOh0k+vQ/VaT0oi/qrJynLAjSvBrKiDh7/:Ilk8pTq/qFybljr
TLSHT1AEF0FA20404D27FDD60FF4F3D057472F4D75105677567017247445E81DA6547C4B1695
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
MD5F3D0ACF4935B1B8F2066C0521F325F84
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
PackageRelease7.el7
PackageVersion1.10.4
SHA-16C60DFDCE9572BC86A49FE9E3FFC02E0555D2A2A
SHA-256CEADEA5F1972E94D8966C76B7CA4FC27EFCD0B300AE1D5D3006AE43BE9028FB8