Result for 00F92FE5708F469797556F5888E74243F97055F1

Query result

Key Value
FileName./usr/lib64/python3.2/site-packages/numpy/lib/tests/__pycache__/test_regression.cpython-32.pyc
FileSize13415
MD5291ABEB60B65EBD1231D1D4FFFFF8018
SHA-100F92FE5708F469797556F5888E74243F97055F1
SHA-2563E0794344F1B3BE9FE551E2CB6AA0F19C3A7167F580170E72954EB517ED1640F
SSDEEP384:hLIqZ6A6IviVgB3f1fFhEGZOnFmcY3RokblKNcqxHqdVhSZ+24p:hswlJviVg9f1fFDkFmcY3RNlKyqhq/h3
TLSHT19B52E05193BE58E7D4F15F74A970621BFF72F5A2BF06AB5013A560BD2EC836A0C2E440
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
MD5E55249D763F2929E94366498C88B8D6F
PackageArchsparc64
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
PackageRelease0.3.fc15
PackageVersion1.5.1
SHA-17153ED077A9725C60C00ECAA93AA22ABB417839A
SHA-25615035F48E69656F19B8CA08973C28C8CD32E702DBB82B5435614313C6FB36307