Result for 03ED4E9CEC319C6F65A56A67275F9F2E324F3E78

Query result

Key Value
FileName./usr/lib/python3.3/site-packages/numpy/core/tests/__pycache__/test_memmap.cpython-33.pyc
FileSize7318
MD50C23778595C23E2BD716C3F7F41DB7F3
SHA-103ED4E9CEC319C6F65A56A67275F9F2E324F3E78
SHA-2562292F305DFDA32229F3896E73B1E11FD54637AA1E4F56E5C9A2568B7D3CC78CB
SSDEEP192:W8J89wtTJ1542Gz353w8B235jbBpX/5HJd/5PXb5Qf05T8Z45aN5aJ75S+5TS8hz:W8Jawt5wz35O35fBpX/5HJR5Pr5t5W4h
TLSHT13CE17A51ABBF49C6C3F25F7094712317DF73EAF64A047B0126A4E0791BC836640BEA89
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
MD5F40C433B454FBC950B31CE60ADB37FC5
PackageArchs390
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-12D2EE517CBFBE4CD71D91B213757A2A5DB836017
SHA-2560349DD93C220B9F40AF9C1E554813B35CBF998F94EDF5C2136DFBEF661BFEF64