Result for 0411F5A0F719EB08463BC7BED02BEF9C66E2D88D

Query result

Key Value
FileName./opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/numpy/lib/__pycache__/stride_tricks.cpython-36.pyc
FileSize7838
MD595D5AD1461A55EB08A4E77088BA8B7D1
SHA-10411F5A0F719EB08463BC7BED02BEF9C66E2D88D
SHA-256DBD3A9DD3368C549A4DD11C3E71EA89A96FC4904695CF9247876928227A6BADA
SSDEEP192:6haCXjVXifs78tqB6FF7xMSZMgHYGkxSuZ5BwaIcuSWWA2/:6hjTJWYUz9MGMgHYZjrBvV/
TLSHT14BF1B446AFEA0FBDF942F6F5E1CA5557C620813F0288D102309F59993F1A5AC1A7D2EC
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
MD592610AF32FFA5C11BE3E241B5C7045BA
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-python36-numpy
PackageRelease1.el7
PackageVersion1.13.1
SHA-18751E3259D31013F276974C15AE42CAAD17BDA98
SHA-256462E4A2F951AFCA6CE14076C9E859784A5E7630112C07D77B30BCEF2DC410299