Result for 0792DC70D2B6F07497FAFE19A3F94FE2309FBA31

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python3.6/site-packages/numpy/doc/__pycache__/misc.cpython-36.pyc
FileSize6401
MD568EDD4C16B603E89C2FC43B39907F3D3
SHA-10792DC70D2B6F07497FAFE19A3F94FE2309FBA31
SHA-256EE157BE43C830C9C70D30B6007E8FF94066D85B1F2E5CA365381FB14DFE67725
SSDEEP96:PMV6jdkd9KjMuCYctxuV1qT/wFDSDZJj9oyh8vELYfEy8wLRjue0gaZcWYhdji:2d9YuRx418UGjZwg
TLSHT173D173262D44A66E7A42C571A65F46A6C739A37BC350308D34EE22A81F46B7F443D3E8
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
MD5C8710228F72689CF69636C1F84A6E286
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_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-1DE849615A7AAE0B571E7F33B2AE03DAA93C28A69
SHA-256A9DFB354642DC54BE8645985B65736AD518AD5DAD93BFD6BBAFEA51F0AE84C6D
Key Value
MD597A4B9D836309D5FF7BB15018893ABBA
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_16_1-gnu-hpc
PackageRelease4.8.1
PackageVersion1.16.1
SHA-1123D4D5645C08D1EB2024C35E98DC441C60CE9D1
SHA-25689D28B0911384CE7D852BE8B469C3A6ED2D012BC8851A2ED70947721F5E75B35