Result for 070A1F6DE5C6DB05EF7C5C175E37BF1D33CE732A

Query result

Key Value
CRC329A5F0EBF
FileName./opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/random/tests/test_random.py
FileSize24476
MD5C7A940BE5AD7CECAADFA94CD29DDDA6B
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Design', 'Language': 'Multilanguage', 'MfgCode': '2228', 'OpSystemCode': '399', 'ProductCode': '181535', 'ProductName': 'Inkscape', 'ProductVersion': '0.91'}
SHA-1070A1F6DE5C6DB05EF7C5C175E37BF1D33CE732A
SHA-256EFC2ADE39237997AF665F758AFD560787516482C24DBCE01CE4D9A7900B5A3EA
SSDEEP384:QbDNqyKJCxlJxax+Rxlnx0x/7x/Wx6yofDDG6LB7ahznc5QNCZS5RLxubVXdZ08:6FwGrSV8meQ7arCk7oVXdZB
SpecialCode
TLSHT16CB2FF4623C7095D73479178C99A5B0AA36DA533090C68DBF0BE5A001F6C43EF7BAD79
dbnsrl_modern_rds
insert-timestamp1646980375.5552564
sourceNSRL
hashlookup:parent-total24
hashlookup:trust100

Network graph view

Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD54BD937C7D23F855ECABF002542A6C7D5
PackageArchppc64
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.
PackageMaintainerFedora Project
PackageNamenumpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-11A90E3F2E1FA4C679698B46D6266CB8BCEB228C4
SHA-256339263032B85E2322FD124F6545110102D0976CC489858841647C81BE6957EC2
Key Value
MD5684A6E87F8F4592058690382781D1A5E
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>
PackageNamepython27-numpy
PackageRelease10.el7
PackageVersion1.7.1
SHA-12A4F9475CBD888282AE3E9758789E0E84BC624DC
SHA-2562F4BB7E6BD6622E4CEEEED98D983A533D0D7A6754950AD3C1B6E9E710620BC21
Key Value
MD5F40C433B454FBC950B31CE60ADB37FC5
PackageArchs390
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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-12D2EE517CBFBE4CD71D91B213757A2A5DB836017
SHA-2560349DD93C220B9F40AF9C1E554813B35CBF998F94EDF5C2136DFBEF661BFEF64
Key Value
FileSize1869516
MD597A336D9A724564DE9B98E648E9219EA
PackageDescriptionNumerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.7.1-1ubuntu1
SHA-1333E1067F4C21BBECAB48E94CF1AACBE65984C47
SHA-2561A2AE11E76FAD40ED941C9FB68984E4F0F097DCC20B3DF10B23A73342EB0A60A
Key Value
FileSize1994032
MD5A1A81E829C4F0E0B23E6A5235413E3E8
PackageDescriptionNumerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.7.1-1ubuntu1
SHA-13B8C61E6980241F5988BEE322D924DA867BE4B99
SHA-256D3601175CB30B634A7608D66A46A238AB4DEE2409E7D4D1CE401F396FBEA8C16
Key Value
FileSize2011970
MD557965270CD7CDE832BC19B433819BD99
PackageDescriptionNumerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.7.1-1ubuntu1
SHA-14917CC4EB9B8582E8E576BA54A03B39349663FD4
SHA-2562868A36A02BB9AA440F66FA2DF591350F2D1B32A7CEC4D6CE7FAFC04EB1EFD6E
Key Value
MD5BDEC9C2398CD18D93FBBE540CE329DB3
PackageArcharmv7hl
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.
PackageMaintainerFedora Project
PackageNamenumpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-157F53940279B770F153547B56DFAD265015558EE
SHA-2567A7FEE4AA25E353D4EA79ECF56A63033C0E80EF1C98C2A5ADBE5A96CE0D535DA
Key Value
CRC3215ED0FB0
FileNamenumpy-1.7.1-13.el7.x86_64.rpm
FileSize2957988
MD52AD64E105448E0395ACC317EB263B28D
OpSystemCode362
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.
PackageMaintainerCentOS BuildSystem <http://bugs.centos.org>
PackageNamenumpy
PackageRelease13.el7
PackageVersion1.7.1
ProductCode202232
SHA-15EEE58DC8104BF6D1CA8511FAF0B3B0712073C90
SHA-2565D8E2789F3483D81334466405D6A0FE0E86FCBF1887C216B05835D9C52FB0A32
SpecialCode
dbnsrl_modern_rds
insert-timestamp1647013363.516298
sourceNSRL
Key Value
MD5E39DCAC7FD631E073CBC925EC5F066A3
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>
PackageNamepython27-numpy
PackageRelease11.el7
PackageVersion1.7.1
SHA-16301E720F88A83B4F4557F79817450D6580D6D5D
SHA-256C79BCC9EDB179839BD280569C77174747BDED50F364F5B4DF63B8704C1019827
Key Value
FileSize1888794
MD5B4CDCB0BFF403D438CF9A8D74883E990
PackageDescriptionNumerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-numpy
PackageSectionpython
PackageVersion1:1.7.1-1ubuntu1
SHA-16B61E8FEBACE5DD5A8D403BFFF9F61F99D4E637E
SHA-256D5AF2F78C814F5D90DC3216D014D335BCB561F11F8258A5E9B0C8E7CC22B7FB0