Result for 04DDE238BCD39DBA5C0F9446E90C56C125CA285F

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/__pycache__/records.cpython-34.pyc
FileSize24097
MD5F5ED9FF247E0BF92849E53ED424E9038
SHA-104DDE238BCD39DBA5C0F9446E90C56C125CA285F
SHA-256AA1D53A0643C3BA97ACDA42A6AB76356151C54DC8F87D0425D7DA237B3D05D30
SSDEEP384:P4lBrLySPVlb4P6QRd71l76/tYeeJKJOmqN9RvntmUPjNfTo+cJA6bh87oiMVBdo:P4lhySPVlb4Col76/tYeeJKJovvntmUd
TLSHT1D6B2B50127D405BFF692F2F650BD5602EB72D24BAB066B4532EEF1783FC47999439288
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
MD55B39D23F85BC5D8B6A924610D7F6EDFE
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
PackageNamepython34-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-1C57669190E1D38925CC5F4D814F7DC87C6C152F8
SHA-25683AEB06672570F37D8144BD4B4BC600C16DCF811F351E2777BE3F82F4559142F