| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu7/python-numpy/1.16.1/lib64/python3.6/site-packages/numpy/core/_operand_flag_tests.cpython-36m-x86_64-linux-gnu.so |
| FileSize | 10480 |
| MD5 | 65C7E360A57861C61C47EFF0785529FC |
| SHA-1 | 00BA7C1C0F4C097FA858A7692901D7FF40A78C65 |
| SHA-256 | F366FE19DB05BD9F3CF1DB276765C7377216F81562F833F64ADF3FC63BC7857E |
| SSDEEP | 96:R6MBWBwQuj4xJ9YWrNZe7AZP7hWE3W3sm9Y+iVvXL8pZY/Y:Rr8uJj4xEi/e7AVdR3W3sm9vi5 |
| TLSH | T1A422522BE665D83EC0A45338C5C7827133B6F864572207333388E5352D93A4A5FEB69A |
| 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 | 97A4B9D836309D5FF7BB15018893ABBA |
| 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 | python3-numpy_1_16_1-gnu-hpc |
| PackageRelease | 4.8.1 |
| PackageVersion | 1.16.1 |
| SHA-1 | 123D4D5645C08D1EB2024C35E98DC441C60CE9D1 |
| SHA-256 | 89D28B0911384CE7D852BE8B469C3A6ED2D012BC8851A2ED70947721F5E75B35 |