v1.2.2

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

v1.2.1

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

v1.2.0

The default brng keyword setting of RandomState.seed changed from MT19937 to None, meaning reuse the brng specified to the constructor, per #10

v1.1.1

Minor bug-fix release.

Updated initialization script allowing import mkl_random to execute without errors with NumPy 1.18

v1.1.0

1. Added support (#9), for non-deterministic basic random number generator, based on RDRAND hardware instruction.

2. Sampling from multinomial distribution now uses MKL's own viRngMultinomial, rather than using viRngBinomial to sample from the condition tower.

v1.0.4

Fixed build in Azure, by adding an include of "Python.h" in randomkit.h

No other functional changes.

v1.0.3

Fixed build break due to missing include of "Python.h", upgraded conda recipe to conda-build 3

v1.0.2

Maintenance release, including fixes for issue #3, #4.