.random.Generator`, this keyword was changed from `seed` to
        `rng`. For an interim period, both keywords will continue to work, although
        only one may be specified at a time. After the interim period, function
        calls using the `seed` keyword will emit warnings. Following a
        deprecation period, the `seed` keyword will be removed.

Examples
--------
Let's define 3 categories and for a given sample, the sum of the trials
of each category is 8. The number of trials per category is determined
by the `pvals` associated to each category.
Then, we sample this distribution 64 times.

>>> import matplotlib.pyplot as plt
>>> from scipy.stats import qmc
>>> dist = qmc.MultinomialQMC(
...     pvals=[0.2, 0.4, 0.4], n_trials=10, engine=qmc.Halton(d=1)
... )
>>> sample = dist.random(64)

We can plot the sample and verify that the median of number of trials
for each category is following the `pvals`. That would be
``pvals * n_trials = [2, 4, 4]``.

>>> fig, ax = plt.subplots()
>>> ax.yaxis.get_major_locator().set_params(integer=True)
>>> _ = ax.boxplot(sample)
>>> ax.set(xlabel="Categories", ylabel="Trials")
>>> plt.show()

r0