Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.24.2/lib64/python3.11/site-packages/numpy/_typing/__pycache__/_add_docstring.cpython-311.pyc |
FileSize | 5061 |
MD5 | 8BE33F156B604D7942750D41BA19E8BB |
SHA-1 | 019BFA4939AB64091A56C4BC7DA29DE16ACCD149 |
SHA-256 | 0A9B9AA71075D2CE3BD3ADEF471B5E4B8CC31190755F0E6E2845B41DE12AA03D |
SSDEEP | 96:oePHMNJ0AGkEJrzV4UlmtFu58KqD1wUZpqorL6tpLrmWoKrV/RgGyL:oePEaAGblmy58KqD1wUfqYmbnfpI |
TLSH | T107A1744A1E924A78FB9689B088EB2003F32549B7A725CF8A789F45745FC52112E782DD |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 3DF4AFEAF19F266CA183C22B555EEAC4 |
PackageArch | x86_64 |
PackageDescription | NumPy 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. |
PackageMaintainer | https://www.suse.com/ |
PackageName | python311-numpy_1_24_2-gnu-hpc |
PackageRelease | 150400.23.12.7 |
PackageVersion | 1.24.2 |
SHA-1 | 822F7FF35F2E1BF62A718C3A5226D7476EDD46E0 |
SHA-256 | D4FEC84899263D810F03F9D8882E2B9E55E3DAAD5A6F9E0B0CCF70664A06AE3E |