Result for 04F9CF0D93C58A4CF271F930D05DA2B333046922

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/lib/__pycache__/type_check.cpython-34.pyo
FileSize16019
MD5014E41F1F15F356C2B17FCACED7B6DF1
SHA-104F9CF0D93C58A4CF271F930D05DA2B333046922
SHA-256BCC549FAB93E420DB113C75A68627A94C3BAC1A090E1283F4B3BAD5B6816D2CA
SSDEEP384:8FkKpNDQDoH2Ma/PL24BeDttt3qP8t5sDJHd9r15BF7yeiUF61q6jpXi:8FbpNDQDoH2DPL2ZZqP25sDJHd9r15B/
TLSHT1E27296442EC4933FE252E3F661EA6043D774D86B1751274631CEA6781FA3E189ABC78C
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