numpy.random.RandomState.tomaxint — NumPy v1.13 Manual (original) (raw)
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), thenm * 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
Uniform sampling over a given half-open interval of 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)