Result for 01F617B8D0D7D25DBD9A9395874CB56DAF05262C

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/matrixlib/tests/test_numeric.pyo
FileSize865
MD578C01E68BD3EFECAD5E09E1CA4FF0EC8
SHA-101F617B8D0D7D25DBD9A9395874CB56DAF05262C
SHA-2569EF941E42E3776B5EFC8174978BA3A3A1F93157539DB3D337032894458951F13
SSDEEP24:IiATdVx9vloz8tTkk7A6ZA7/cT+6ZCkQ6ZGvv:IiA5VxZzh86ZYB6ZhQ6ZE
TLSHT10711CE81E7FA4AD3E9A92C75E2601217FEB8D8F7730067410A24213E19E425F483E6C5
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 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
MD520C6C9EE909363BD04A7499F916F6509
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
PackageRelease2.fc17
PackageVersion1.6.1
SHA-16D6F6297306C5A13C287445082AA6082A1C58113
SHA-2567C5461ABE97CEE53F0B53D406993F85EC35594AFB53369BBDA03F8AF44304215
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
Key Value
MD56A9BA4D87932D7406333A7FF56436A95
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.fc17
PackageVersion1.6.1
SHA-1533EA5A9FE5B4A87E839258FC8B11A956AACA268
SHA-2564E1619741A3018B33D6ACA5E4D732B421B39DCDA9C14D7865E698E171CA1362E