Mkl-random

Transition testing suite to pytest to enable support for Python 3.12

Change to fix build on `mkl_random` with `clang` with new build system introduced in v1.2.3.

- Modified example of parallel Monte-Carlo work to correctly work on Windows. (gh-26)
- Transitioned away from using `numpy.distutils` as it went away in NumPy 1.25 (gh-24)

Update description for Pypi package installation

Added `examples/` folder provided an example of parallel Monte-Carlo estimation of a probability of a certain event.

Added support for ARS5 counter-based basic random number generator available in MKL, see
https://software.intel.com/content/www/us/en/develop/documentation/onemkl-vsnotes/top/testing-of-basic-random-number-generators/basic-random-generator-properties-and-testing-results/ars5.html

This is a bug fix release, including 17 and 18.