Result for 044B8D9263A37C8C41842AD994341FCCB2F3B942

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/numpy/compat/__pycache__/py3k.cpython-34.pyc
FileSize2966
MD528F36E1511FA22A2F9036E1743C56758
SHA-1044B8D9263A37C8C41842AD994341FCCB2F3B942
SHA-256376BFA611828C6D17D9AC1EC665E3E5BA92AB8F761137896BAEB6C6FFF2985E0
SSDEEP48:QFoQFi3esgyD0sktnHNrm8KlSUEY9mjeHYTVxVoL9IefwmBIef23H/MQ:dQFi3esgy4nHA8KlNdseHsL49PfwmBPO
TLSHT1FA519AE1E3815E8FF5A6F3F880796313ABF7E5521B1AA3428615917E2CCD3D50C39118
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