Result for 05E77CC406246794C8919AC594446C99F84EC3A0

Query result

Key Value
FileName./opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/numpy/random/tests/__pycache__/test_regression.cpython-35.pyc
FileSize4980
MD535E5ADDACB0CEF8335E11C206FEEC340
SHA-105E77CC406246794C8919AC594446C99F84EC3A0
SHA-2563E1EB3567C4CF1B4EC6B65151BA67F73AFFB0C3094CFEB40C64175C4569C4E72
SSDEEP96:xZXYCUtqblll0gajddwLL0fHN/1Wo7A3B9aO8XUpbb6j8cWYeWtGx/OB3F3PZT4y:xZXYCUt+qwLL0fHN9Wo7ADuXsbmeWtWM
TLSHT1ABA1B98057DA8E5BF828F7BAE4B5A306DA70E4053F45B7116AE2E43D3FD53A02C52349
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
MD54C3223F997EAB0F0017D2C36308FCC0F
PackageArchx86_64
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.
PackageMaintainerCBS <cbs@centos.org>
PackageNamerh-python35-numpy
PackageRelease4.el7
PackageVersion1.10.4
SHA-1F5FDE2C7509F0AC2AD36694B9DA1ED2408C82314
SHA-25664CBEEAE1CC487AAAB51EC046714E5DF80C28540F897096A19F3AF6F54987D77