Result for 02D2FF9FDCAB5D406A19641194DF8F13C421D462

Query result

Key Value
CRC3208040208
FileName./opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/random/tests/test_regression.py
FileSize2720
MD5CC0352368FF10A86A0365D3179C22FC7
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-102D2FF9FDCAB5D406A19641194DF8F13C421D462
SHA-2564F890A1B61C504CCB66047647F6ADC0ADA67F8BF25D4C1CFB8320B713C43597B
SSDEEP48:TPj8U4SF/uxPbAwhBTcn3n3Z0CzNhF4aXXW/BdvNlu1I7fPnddNaXflFwUkjI9I:TPgu60whxC3dbU7nnqfl8jIK
SpecialCode
TLSHT1805112C29ACB4D1EE787D53D98D6AD057729F867004818B6F5FE06809F6803E63BD478
dbnsrl_modern_rds
insert-timestamp1646978882.5863357
sourceNSRL
hashlookup:parent-total14
hashlookup:trust100

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Parents (Total: 14)

The searched file hash is included in 14 parent files which include package known and seen by metalookup. A sample is included below:

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
MD595E77C3B64889EB4ADAE731BF0C7D5A8
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
PackageRelease9.el7
PackageVersion1.7.1
SHA-179134ADCBC57D76474B0DA0A920E58FF2ED39183
SHA-2564FAE368363B54CE6596CDFA968B8185D557390D59E68C7D8CC7EE82C73DCDAFC
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
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
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
MD547E57AF2C78169E503504C7BC52E4EA9
PackageArchs390x
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-1A5B4C14FB178BD36CB52E4D4128687618DC682EA
SHA-2564E0C793497818E034F7AFF9CAF247AF7CEDACA0409EDFC09F4A49E4D7E23C5A8
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
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
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
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
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
MD587143899B04FBEE605B569F682C02CAF
PackageArchppc
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-1CA5ABC3AAA9183D2D7139463C27E2E37E6393CB4
SHA-2564B5AC7B39C16C3C29D9391D83554FB2840F0A1D990DC8670F9A7B7F23E8777CA
Key Value
MD59D5D1D8CBA3F90EC4F3D9DAA0FC8797E
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
PackageNamenumpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-1979DEAE747E007DEE4DB4608717E9956341DC436
SHA-256A9BC56C08A39280AB37FC5BEC49FCD18A0C1761C495F1EDCEAEAD2FEC9B47EAD
Key Value
FileSize2017054
MD5C1C31D19049F30DE53BE8241F5ECAE64
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-17DCFEE7F64B9BE291C0FD54151073CC35B7D1145
SHA-2567353CA873117014FD60509471754C5D4DBEA8D30EE4D421840BBE1ED98D4D57B