numpy.random.RandomState.tomaxint¶

RandomState.tomaxint(size=None)¶

Random integers between 0 and sys.maxint, inclusive.

Return a sample of uniformly distributed random integers in the interval [0, sys.maxint].

Parameters:

Parameters:	size : int or tuple of ints, optional 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.
Returns:	out : ndarray Drawn samples, with shape size.

size : int or tuple of ints, optional

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.

Returns:

out : ndarray

Drawn samples, with shape size.

See also

randint: Uniform sampling over a given half-open interval of integers.
random_integers: Uniform sampling over a given closed interval of integers.

Examples

>>> RS = np.random.mtrand.RandomState() # need a RandomState object
>>> RS.tomaxint((2,2,2))
array([[[1170048599, 1600360186],
        [ 739731006, 1947757578]],
       [[1871712945,  752307660],
        [1601631370, 1479324245]]])
>>> import sys
>>> sys.maxint
2147483647
>>> RS.tomaxint((2,2,2)) < sys.maxint
array([[[ True,  True],
        [ True,  True]],
       [[ True,  True],
        [ True,  True]]], dtype=bool)