| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu7/python-numpy/1.24.2/lib64/python3.11/site-packages/numpy/core/__pycache__/_dtype.cpython-311.pyc |
| FileSize | 13719 |
| MD5 | 66D22486F8838AA98D27F1E51CC00194 |
| SHA-1 | 02E3FCAB161BD585D226C952A5C69A85F9D4E0B2 |
| SHA-256 | E6668FC52934B769CA794A55689DE3FBD833E5A8CEB3B9E4E191AC2DB0D5D1ED |
| SSDEEP | 192:K6RgQdbFL5HRQcJB5PDl16+tZuH2tbfNppppvVoQRxnGzAJy+JaiIOiD9MXXf:KOgQL6cH/1NcwfNppppvVoQLGzAJ5ys |
| TLSH | T13F52C7816582DB7BFD51F7B1D10A0566F36489FAB3208313309B8076AF5B791EA229DC |
| 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 |