Result for 03C3EC2B89251BDA9969BF6CEFAF44A25F0401B9

Query result

Key Value
FileName./opt/rh/rh-python36/root/usr/share/doc/rh-python36-numpy-1.13.1/docs-f2py/options.tex
FileSize2978
MD53BF8BCCC912E10C0453085C051A473F0
SHA-103C3EC2B89251BDA9969BF6CEFAF44A25F0401B9
SHA-2566E8FED615D38EBEA4B095111E333DFC6D03C64BEF0B96670309BA3102A786167
SSDEEP48:5XyhCOQnASqXnvYXJKpn6VL48lUqtUDo5vYszmyKlx6TqIYS2IlAvhF9Z4:tyhChG/Yc6R4iUaUDJszHKlxKFD2nvhi
TLSHT14F51D19BBD00E333814971E3766288129B19F33DDF21C65AA9CC61A8332495F65F5E64
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 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
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