Result for 00DBB47684DA79E127E87245C9CDB2AF25B430E8

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/compat/__pycache__/_inspect.cpython-33.pyo
FileSize11129
MD5E9AB3E4E841CE789FBE13A8B06B9BC0F
SHA-100DBB47684DA79E127E87245C9CDB2AF25B430E8
SHA-256FCC23E90308E76A9B43822A487E98A7CDB42C1F723D0316AF09DB32B52C63276
SSDEEP192:XYGRFBw2jHquNIKJAG2bDHhoA57Y/+0yS3dyP0KLD9bVO:JO2jHquNfMblomYZn3dVKLD54
TLSHT1A3327281B77D55D6C25002B8553A1716CF63F477AB002F9132ACF2EC1F95A3A4E73989
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
MD5F43FACB3567683951790F3BE5441A286
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. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-16E7FD7E9E168126EDDD9DFDF156F6619493607C4
SHA-256E6464D8F868D61B70F010F7CBC198252B4D3F835A15F3A25EE1DC16942DF528A