Result for 005E04660A4A065A314617CB130464FB043F22B5

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/core/tests/__pycache__/test_function_base.cpython-33.pyo
FileSize2781
MD560DC4647A8E23DBF49F86D45B633C965
SHA-1005E04660A4A065A314617CB130464FB043F22B5
SHA-25615C5015A25F2B4F2E46B06D039499A81D7726597956B68131D44C0AD29166750
SSDEEP48:RG4nx4G3Kc73zat0eTmZHPG2L0RPHWJVDA9EVGbCUzXh0RUt9:A4n973zatnGHNej9sFUzxyUX
TLSHT1A951D14163BE99DFC0F46AB5B5690329DEB3F893AB0437010760E0BC6FC479909AB581
hashlookup:parent-total1
hashlookup:trust55

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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