Result for 0136AAF9360FE5454ADFB8CBA0CD6D9595170CDE

Query result

Key Value
FileName./opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/numpy/core/tests/__pycache__/test_unicode.cpython-36.pyc
FileSize13404
MD5E92DD8DD8B505CBC584F980DBF16C695
SHA-10136AAF9360FE5454ADFB8CBA0CD6D9595170CDE
SHA-256FA4D1AF9358CA5E5FB36FB88F1A6310039849ADED1EB41A976B0E49609F5F109
SSDEEP384:yXsPAMZlZN9c5Mb4QbpE146WWlvh8HJqvM:rAMZlZN9c5Mb4QbpE140EEk
TLSHT10F5222A2AB83A8DDFD33F3B5C0FD2B651924923D5B09A01B9710E05E0E15E89CEB605D
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
MD5D3D6FF6736FEE858B870660D65F38DA4
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
PackageVersion1.13.0
SHA-12F2251F1E515458D4BBA830976BD337C7BFE7FB5
SHA-2569E26604B91759023F6A85AC476125AA850A267E8BEF3BD2FACD3672C8F614850