Result for 02CD5A53A56ADABEE224143B208C047523F66DBE

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/random/tests/test_regression.pyo
FileSize2884
MD5AFF17356E6E44D798E8F725D52470D6A
SHA-102CD5A53A56ADABEE224143B208C047523F66DBE
SHA-256851DF75FA52BD7E91E9C97E923A9D38D9EBA1037620081B244FE569D86739FF7
SSDEEP48:GWyvso1kQShxPbCrY634QESOT634lhndXlRfMk634ZDv02NoZ6343RN/HZ2Sb63j:qgPGdE5Vdvfv0tN/wS2R
TLSHT10851B291A3E68997C8B14D79A1F01317EE74E4F3B602A71167B8703E3ED436A586A640
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BE151B92F041AE9666E7AAE7B6C9F5DD
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.
PackageMaintainerKoji
PackageNamenumpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-10FEF662C99066C4EF033CB375996823556402C41
SHA-256B77AC77374D29FC5E82947C936BC6EF8C5BB6423F1DBF6D71522346D2D43546C
Key Value
MD588517D9771EB7124285720EBAFDFD1EB
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
PackageRelease6.fc18
PackageVersion1.6.2
SHA-1A9A58FBE5CF630A7B9C95863E1A332EB62541794
SHA-2562777527BE12A16C588814EADDB8F045CDBD6BA421C03874EFD07E63314ECFE15