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: 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)