Result for 038E23FF52B56927B0690B03FBACF49E0C77DEC0

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/distutils/tests/swig_ext/tests/__pycache__/test_example.cpython-34.pyo
FileSize1022
MD5E07B8A28A0DBC6A47041D9EA296A2157
SHA-1038E23FF52B56927B0690B03FBACF49E0C77DEC0
SHA-256757F2C8B4C7A189BEECD7123F2345DC0C3B1330D7BB000B339F49FA02B93CC15
SSDEEP24:5pS1/qkjV5mJq1ncm7Qg9nnuR5Fg9/i10:50IkVa4c1inuRim0
TLSHT1D411BA8083EA0BDFF958F3B9D0C94326D6B5D477BB01A3011B8423BE3F853D22852646
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
MD578133D1457A5BDDAE3A3A32EBB3FC147
PackageArchppc64
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-1D4EB92D23EE3CDB4F0E17E4A867CFCEDBB0448BC
SHA-256AD1D92118A3797FA00CD9D4C4A6DCF8E588045EF53BF53FB21B6C0FAAE6E27C7