Result for 0256F31D2629A8D47E6EC72239EFFD62B04CBEF8

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/testing/__pycache__/__init__.cpython-34.pyo
FileSize718
MD5971ADDFE1EBDEAA95E9AE1E7CE8D7431
SHA-10256F31D2629A8D47E6EC72239EFFD62B04CBEF8
SHA-256D509CCEA82DD6707E15B4085485353AF8B092484FAD812C7D15A8C7E15A9969F
SSDEEP12:5HcMwmo83LAgE9Kwe9wI8t8P5ri/q+mPmAc+l44DMGZ26hVoPGgBPscD+G+:Pq838Hz8GoO/q+mVcV2Z2CVwrsPR
TLSHT19B0144D314B7AA85EE097273601062161AFCE0FC1F2142131FCC12B52EC326F0475C6C
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
MD529450144DDDE9CE31CE57D3E0DCEED0E
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
PackageRelease3.el7
PackageVersion1.12.1
SHA-1CB656CFEBA1110492A1CB012337C9D8BDB24692B
SHA-25690AC75FEB4BAFBBAD2A462FC1F430E3644611355D8C9C08309D6E67BBDD215F4