Result for 00CC441667DC799A84DB3E2395671157D459296D

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/core/__pycache__/__init__.cpython-34.pyc
FileSize2162
MD51F08FDA06D44AB4D3219E096295019AD
SHA-100CC441667DC799A84DB3E2395671157D459296D
SHA-256489EBCC09D9EF7AAED44FC310231A0CAB595D65C9E54B90B9372570B3129D871
SSDEEP48:bKyD9zGvzhjxKmoWF54T5y9WZlsI9xNgUMguN28WC:bKyhqLhsW74luR0Agq28WC
TLSHT1B24160B54B3862D7FC4DF3B8D4104B588EBEF0634780BB2345AB42B99FDA78B9100200
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