Result for 011F0CCA59BE59747CB79CDEC08A1BA5B3B273C2

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/core/setup_common.pyo
FileSize9038
MD5BA5A81E46301126F712CDAB78130D816
SHA-1011F0CCA59BE59747CB79CDEC08A1BA5B3B273C2
SHA-25630780106DDCB5AEDCDA723F2186B941E801757D4D7B8E40B4E7376BE4DFDCABB
SSDEEP192:rZYQiSEbtQMEImqG8ns0bevyqAsdAT3d53uRW/Um7Vj:6QXEbtQNItntbUaj3uKUm7R
TLSHT144124384DBE44563D9E00679E1F1011BAF74F1B7AF00735372B8E1B82FD867AC56A684
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