tomaxint(self, size=None, chunks='auto', **kwargs)
This docstring was copied from numpy.random.mtrand.RandomState.tomaxint.
Some inconsistencies with the Dask version may exist.
Output shape. If the given shape is, e.g., (m, n, k)
, then m * n * k
samples are drawn. Default is None, in which case a single value is returned.
Drawn samples, with shape :None:None:`size`.
Return a sample of uniformly distributed random integers in the interval [0, np.iinfo(np.int_).max
]. The :None:None:`np.int_` type translates to the C long integer type and its precision is platform dependent.
randint
Uniform sampling over a given half-open interval of integers.
random_integers
Uniform sampling over a given closed interval of integers.
>>> rs = np.random.RandomState() # need a RandomState object # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... rs.tomaxint((2,2,2)) # doctest: +SKIP array([[[1170048599, 1600360186], # random [ 739731006, 1947757578]], [[1871712945, 752307660], [1601631370, 1479324245]]])
>>> rs.tomaxint((2,2,2)) < np.iinfo(np.int_).max # doctest: +SKIP array([[[ True, True], [ True, True]], [[ True, True], [ True, True]]])See :
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