Result for 0287AB1BD30A00CF2BC7FEDAA762AC80AA53B6B6

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-numpy/1.17.3/lib64/python3.6/site-packages/numpy/f2py/__pycache__/cb_rules.cpython-36.pyc
FileSize15539
MD51E6F25D46F48D905A2D3CE8FE0163838
SHA-10287AB1BD30A00CF2BC7FEDAA762AC80AA53B6B6
SHA-25627C25D6E10117E2649E9A04ACDD16E5B1C80A891E23F8FA833D462863D9F2A4B
SSDEEP192:InEUP8PLQ8biIK1tko4Naa7WqKnKSMYKeOZh6aN8c60bR4Pxxu/sO3ZIvjlxC7Nt:IH84ptJ4Makw8pU/s3KJTeCrv97IVvU
TLSHT1FC62087BAED3C253F665FE72C00B621409ACC5D61EAA0CA5D95D02B4BF029C8D33CA07
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
MD510E24F0876B2FF7669B12DCCF0F75E96
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/
PackageNamepython3-numpy_1_17_3-gnu-hpc
PackageRelease150400.21.61
PackageVersion1.17.3
SHA-1209CF2656A0A7CE25DFF0FEC980B295FF38834CF
SHA-25690B0CEEF56264BF6771C34ECDAB2275A8C16A3B9515A113DABC6F94FD8C6FB88
Key Value
MD5502EEF541848D57B93379AE5A2258F82
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/
PackageNamepython3-numpy_1_17_3-gnu-hpc
PackageRelease150400.21.61
PackageVersion1.17.3
SHA-151FBACE96BBFFF92BE3419DE3175D0CAB319A234
SHA-256BA60A7600A8ADDC0B93A2CFA1D7AC8F04CCBB1AEAE433621940239E9A48A565B