Result for 0250C0B505DF8F642D423B5BDC364D1397623952

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/distutils/__pycache__/__config__.cpython-34.pyc
FileSize1343
MD534CD0DE841635928BEE4EAE5DF6344C3
SHA-10250C0B505DF8F642D423B5BDC364D1397623952
SHA-25657B2CAC16A2BFF9ED5B20F71FEC7B173DFF993880169DFCCBBCDA5E36CF5FAC1
SSDEEP24:u1Yvsu5zoptGfNJLfxrs3Q/gXim7JBF/ISZjSwCjZDSQVtCzWp10zaYZ:uavip0J9sA4ygeVwukwaWp10zaYZ
TLSHT11921FDA2A3C05D87DD5AE2B9E0706320BF76FE9A820AF3815510E03E39E134C1835795
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
MD5156D0345EA7E630030A1446A47707F10
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
PackageNamepython34-numpy
PackageRelease1.el7
PackageVersion1.12.1
SHA-18B0655197DA77B25EA1C2F917619828E11E4C47A
SHA-256E456F3DB79B477920F275C8042698D68241CC5BB3A24253181FE2B2AF2C97E30