Randomness is now generated via a numpy.random Generator. Anything
that relied on using numpy.random.seed to obtain deterministic results
will fail (mostly of relevance for testing). Seeds (or Generators)
can now be passed to relevant functions with the seed argument, but
note that changes in Numpy's random number generation means this will
not give the same results that would be obtained using
numpy.random.seed to set the seed in previous versions.
There is a new pval function, and there are several bugfixes.
Numba is now supported in some instances (np.average or np.mean as
statfunction, 1-D data), using use_numba=True. Pypy3 is also
supported. Typing information has been added, with code passing mypy --strict --allow-untyped-calls --ignore-missing-imports, and tests
cover 100% of the code (though many tests use fixed seeds).
Handling of multiple data sets (tuples/etc of arrays) now can be
specified as multi="paired" (the previous handling), where the sets
must be of the same length, and samples are taken keeping
corresponding points connected, or multi="independent", treating data
sets as independent and sampling them seperately (in which case they
may be different sizes).
Repository main branch is now named main.