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 00:03:15 2025 |
| md5 checksum | de57eca9c3f421a6663173dca90da948 |
| arch | x86_64 |
| build | py38h423224d_0 |
| depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy-base >=1.0.2,<2.0a0, python >=3.8,<3.9.0a0 |
| license | BSD 3-Clause |
| md5 | de57eca9c3f421a6663173dca90da948 |
| name | mkl_random |
| platform | linux |
| sha1 | 3f024c07f8e99a1a96c4ff36ac6eecca50357ac4 |
| sha256 | 00393e533b20f5815c0792ff519fe75441fb70d62bdb925ea4d5cd77a63a9f8c |
| size | 391578 |
| subdir | linux-64 |
| timestamp | 1580495323926 |
| version | 1.0.2 |