Key | Value |
---|---|
FileName | ./usr/lib/hpc/gnu7/python-numpy/1.17.3/lib64/python3.6/site-packages/numpy/core/_multiarray_tests.cpython-36m-x86_64-linux-gnu.so |
FileSize | 108472 |
MD5 | 0E0CF1F88800BBC3EBB1E2A13CD62313 |
SHA-1 | 01A9D7B0A40E4F099F247B898ADCFF4092FA406E |
SHA-256 | 8F7FCD3EA0E4F98AC3A74867D71FA35D86DBF2BC11F7611030139D9AC117F898 |
SSDEEP | 1536:hIi9N0A32uN2wFgeRiCG4ruNT3TAHbSMKPq0jMWyKL:GiD0huswFgeRiCGUKlMWl |
TLSH | T1AFB32B4BBA7290BCC699C1305917C37227B0B5B0505A2B3F7944DB3C1E9279F2E5BAE4 |
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 | 10E24F0876B2FF7669B12DCCF0F75E96 |
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_17_3-gnu-hpc |
PackageRelease | 150400.21.61 |
PackageVersion | 1.17.3 |
SHA-1 | 209CF2656A0A7CE25DFF0FEC980B295FF38834CF |
SHA-256 | 90B0CEEF56264BF6771C34ECDAB2275A8C16A3B9515A113DABC6F94FD8C6FB88 |