Result for 037C5B47C344BDABA25940DBD5F23F779A8B3EE1

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/fft/tests/test_helper.pyo
FileSize3401
MD565A085853D6691DCE98E5712137C00DC
SHA-1037C5B47C344BDABA25940DBD5F23F779A8B3EE1
SHA-256D7D3FC50AB637264609EC3B4C5555204471639040AA64349FD6F71921DA861B7
SSDEEP96:rNV181haWooUgGPtWmyjWN/WB1luRWGR3gW1W/ADWwWm3Wh:rN56GFOY81wzyi8O/zQ
TLSHT160616B92A3EA4997C5A40979D160012BEBF4F8636F116B43125CE13E2ED8359983E7C5
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