Result for 024C59CD6433831D3911B1DF32C840B7FCF5BBAE

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/distutils/__pycache__/info.cpython-36.pyc
FileSize337
MD54D7A9EBBFE748527B1C7C190A8C95A72
SHA-1024C59CD6433831D3911B1DF32C840B7FCF5BBAE
SHA-256D3B7673E7EF76457F7A9236C16E57E7E6F816134EC72DFE958CDDA4BF6DE2AF8
SSDEEP6:tKtONbqBL/LwzR7BTCZOEQ+eFyMUiRpBOOnWFXRrTsMrBB2dTMe:AONOBDczR5qrQQi//nWt9vB2dTMe
TLSHT185E07D30920C2EC5CF9498F7D08B973F2AA562605BEA9037685842B41E2A2E8C927894
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
MD539F3D3DFF705D2555CF90AB236B0F81D
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
PackageRelease1.el7
PackageVersion1.12.1
SHA-1753660EE09268590143BFEC77D0574CD37EC0CFE
SHA-25625FFD2686345D94E6F625287B5685998E767F2F71623E862D950C60E7AC5BC88