| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu7/python-numpy/1.24.2/lib64/python3.11/site-packages/numpy/distutils/__pycache__/numpy_distribution.cpython-311.pyc |
| FileSize | 1094 |
| MD5 | E9D696CC5417F170B2B2EBF73ED4CBE0 |
| SHA-1 | 00D8B5C5AF75716BCA0F4A7740EE38245FD8D369 |
| SHA-256 | 74329C70EC9EB5B68E997897ACBFE9413FB41D1111558CCDD69A547276FCCDCD |
| SSDEEP | 24:In2WgwuSqKOQg+GajEQ/1DhVYMVwIOyvNMX7CCCC3U888z88+:azhOQg+G81iIOWiX7CCCCc |
| TLSH | T1CA11BD81FD08C568F3D5B1B9C505011977B454E6B348A6270E86A017AEAFB829C735D5 |
| 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 |