Result for 019C4C354108F354F1087BBEF4A469EEB68C451B

Query result

Key Value
CRC327C9A1509
FileName./opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_cpu.h
FileSize3768
MD5077089859F6A20EC396E8DD392E94C1D
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-1019C4C354108F354F1087BBEF4A469EEB68C451B
SHA-25670AB2EAF87195122B1B55C4FAD0E4A7C6425D1347B5BF19E471FD6AD785E2E1C
SSDEEP96:1vZ7l30fOUpkbIeyKh4pzZVf5+45Fucu0XjwH/AY/YP4YxYP4YggYg4/a:1v5l30fOUpkbIHKh4pzZVf5+45Fucu0W
SpecialCode
TLSHT18F7157025EEEA414D33B0DA4512A84532701CCAF57D84CECF84D88DDAF6DD3A66E5E8A
dbnsrl_modern_rds
insert-timestamp1646978447.2644114
sourceNSRL
hashlookup:parent-total13
hashlookup:trust100

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Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

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
MD55750F8A936840E55760AD1CDB1677C6D
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
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-19AC385147725357CF2B0B1EE1F5AE1AC3A71FDF9
SHA-256F0FCD5B39828A50B83FBE8F4F7474287720782EBDF75133AC2AA986C209D0590
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
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
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
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
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
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
MD5416844E06AE876CEB3AB231AADE4E25E
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
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-1C72B947D619B65418966E6F70D18F0237F05ACDE
SHA-256A87508C8B2497520A688CF005AC7E757E00F9A356DA427ACA7923C5FCDF28DE0
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
MD5F43FACB3567683951790F3BE5441A286
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
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-16E7FD7E9E168126EDDD9DFDF156F6619493607C4
SHA-256E6464D8F868D61B70F010F7CBC198252B4D3F835A15F3A25EE1DC16942DF528A
Key Value
MD5FD1937447FFEE8288D862143EC8907B3
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
PackageNamepython3-numpy
PackageRelease2.fc19
PackageVersion1.7.1
SHA-190534D5D80E28B4CDA311CBD0F7854FFC717272D
SHA-25682C77C71C9EA916CBEA460CD03A984440B381BCD810A3F9D7645CF6CA167E0A2