Result for 00DC46D78B2B7F134BAD0CF157569722FA6AECE8

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python2.7/site-packages/numpy/distutils/fcompiler/g95.pyc
FileSize2185
MD535634ABE028AE9C39C0FD85B8B29819A
SHA-100DC46D78B2B7F134BAD0CF157569722FA6AECE8
SHA-256A543C4E19C203E1D0B5864DF5F8DA7D8B188485E507B3C73DD82C0B5F7868370
SSDEEP48:NdMQu45wgtpVeOQaZD+OQahDTiOQaBPB7OQaIiBExB3HOQal2g:44lVzZvh3BqIClN
TLSHT1B941BAF5A3AC8DA6D7A506FCD3004527BBB0F8B66B88AB51445084B489C81BEC83F685
hashlookup:parent-total2
hashlookup:trust60

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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
MD58B15592E9839B14AF4FF54D70C17D0C2
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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerhttps://www.suse.com/
PackageNamepython2-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-10047CF327913B1D3DE0597808CEFAA3917690BAA
SHA-256637DC1CA383B2DD3249DBC432470E71BD6DD807E762344F5297511EA2B7C527C
Key Value
MD542BA148483C11EF388EC7A9437612A83
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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerhttps://www.suse.com/
PackageNamepython2-numpy_1_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-154B915FA4BCB830808937173CFFE4EAC07F229DD
SHA-2569BA14610B64B7C825AC84651DF2C389FAE2F6026D68BF56FCB78B01569BAFB6B