Result for 045E7A99477F2ED095EA34D1133D363EA0D190F0

Query result

Key Value
FileName./opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/numpy/core/__pycache__/machar.cpython-35.pyc
FileSize8200
MD5AE723C7E3A6DF66B26DE276A00486751
SHA-1045E7A99477F2ED095EA34D1133D363EA0D190F0
SHA-256965F509C4D6E775B434AEE0372B34FC2D984437F361ABFB482948AB4CFDC4203
SSDEEP192:ryl/rYtTkkO2WLqELgzPLusJBxj2l4wa0WYoOa5IXYNoSsj:ryl/2TSbmEAXp+VWFOaIXJj
TLSHT1350295250E8082BE5802E675447A4325C7A2D9EF5B921376313EF5B42F9392C47BE7C5
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