Result for 01DBC3B68C3EF227363124CB2770112693050575

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python3.6/site-packages/numpy/lib/__pycache__/user_array.cpython-36.pyc
FileSize11505
MD5AC3CD845C972158B27120772A4EC545E
SHA-101DBC3B68C3EF227363124CB2770112693050575
SHA-256D203E84FE4159499EFFB945C90A08529F55D3D574E391B81E8C04BC93BBD6CE9
SSDEEP192:DdHEQuYeMzds6RpFrMTGwxa+wwGHDPInr7G9cS19J:D1EFYj66ZoCfo7Gz9J
TLSHT1343278996B845CEBFC67F3BC5272D7806A3883B3835EE186A810D0AB484B7D54C63CD4
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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