Result for 01CDD575CE6FC6140CEDDE8D6C58977AF4AE8FD4

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/lib/tests/test_index_tricks.pyo
FileSize12546
MD54CC6A542AE45B08AF667D16CFABFF03C
SHA-101CDD575CE6FC6140CEDDE8D6C58977AF4AE8FD4
SHA-256BBD0D3045FC906EC90C038720B7463ABDB2BF3111DB60CF301F8C6296F46E43B
SSDEEP192:rsaya4RsR6d84eZvr9Gc/JLSqZEtAE/E2A7b:Rya4RsR14eRp1BLSqZEKE/E2A7b
TLSHT193427791E3EA4D9BE5E41079B1B08317FEF5F0633F55AB41052AA03D2ED4369886E3C6
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

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
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