Result for 038AF59384E4CBE439909F30035CC00063FE330B

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/__pycache__/arrayterator.cpython-34.pyo
FileSize7634
MD5F6DE550C135D668CFC89E9B46178CE8D
SHA-1038AF59384E4CBE439909F30035CC00063FE330B
SHA-256A9A8BC1594D1B3C2EDB56AFA07DFB39A6A2B3701780E780289641CB6ECAB216A
SSDEEP192:3U8wMGWSmJRr9/4a3m3Ylmu6LOvX0A4N0Izilusczj:TwMGUuavAu6LcXLXlusc/
TLSHT16CF1522967C64A3EF799F2BAC0B15207EB378017E7122351319CCC39FF87654866926C
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
MD50267040506935B71B39F889A79C4F73A
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
PackageRelease6.el6
PackageVersion1.10.4
SHA-135C364D01C21E3C3136991BDE99C1966ABB19353
SHA-256559EE4FD1BADFBC54A48E429A18F220829DEA69858436CF695BBCBE6BA65C007