Result for 02A47EDE9E34DAF34FEBEBCF2BDB9032639BC89F

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/numpy/lib/__pycache__/utils.cpython-38.pyc
FileSize25888
MD571F62AFC883323AA1777ED30B3A4D705
SHA-102A47EDE9E34DAF34FEBEBCF2BDB9032639BC89F
SHA-2568C8AE41865A253456AC93EBCFB8E7699B007CEC3C0804722E40F4305B3FD8419
SSDEEP768:j9X0yBmAi5QHaIt/fr3HLkaUxExXljmdz1:pmAi5QHNtXr3/UxqFm11
TLSHT1C2C2FA9B2C416639FC93F3F660DA0053C730A17B6709184271CDD2E86F5A7A58ABE6DC
hashlookup:parent-total5
hashlookup:trust75

Network graph view

Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5F9A0F6DDADE2195B0B5244514164BE4C
PackageArcharmv7hl
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.
PackageNamepython38-numpy
PackageRelease109.6
PackageVersion1.21.4
SHA-1F55D0AE7F47E16499784C362C4880C0C92D84779
SHA-25669498BE668599FCDBDEB7A21FE7A1197446D9E7234447900C192054E80C1C176
Key Value
MD55960AC37CFC24C0FA0ACC53107021A88
PackageArchi586
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://bugs.opensuse.org
PackageNamepython38-numpy
PackageRelease2.3
PackageVersion1.21.4
SHA-195E578594153C0023D62096A58BF1BD65C324B82
SHA-2566E9BEBC2F0091DAD6C3298541D8D40A650E5ACBF08626E63F09006ED51C281D2
Key Value
MD5485E3D27D3B335CD1039ABFD62DA4C6A
PackageArchi586
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.
PackageNamepython38-numpy
PackageRelease109.5
PackageVersion1.21.4
SHA-140108EB0961B1BF75C3D0E6EE378291EE8E23630
SHA-25620D77F7808B2E97996B49F20EE71D37539B0889CF4A0F769C45F45C557A9CB8E
Key Value
MD5DA28680E483B15E7C629CC55AE3CC629
PackageArchi586
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.
PackageNamepython38-numpy
PackageRelease4.2
PackageVersion1.21.4
SHA-18D758F912BD521D7AD06BD7BC731CCDAC808EA16
SHA-256506E7E08EEFB7C39B9858B13E8FFDD34240D7CAA2A7C92643FAD568438ADEF5C
Key Value
MD55F49873EDD51F115057311420FE6B5EF
PackageArchi586
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.
PackageNamepython38-numpy
PackageRelease109.5
PackageVersion1.21.4
SHA-161769E8A5AC49AD5981CDD36B1EFAAECE151F5F6
SHA-2568AEA51A316C4C4F1E9E8346024E35612C8A6A5061D3B7F58BA8733529A63EFA1