NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL.
| Uploaded | Mon Mar 31 00:03:03 2025 |
| md5 checksum | 00c07c9fde72e3393b074ca9b773b1ca |
| arch | x86_64 |
| build | py312h526ad5a_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16, python >=3.12,<3.13.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 00c07c9fde72e3393b074ca9b773b1ca |
| name | mkl_random |
| platform | linux |
| sha1 | 1400ed7c3777be703fe6ad89992ed5a68e3fe3cb |
| sha256 | 1cd9056292fcf7c27fdd57d73f147a07079cf2f9742f68fde63b727c0cfd9c60 |
| size | 331562 |
| subdir | linux-64 |
| timestamp | 1730824002349 |
| version | 1.2.8 |