Classe « RandomState »

Méthode numpy.random.RandomState.tomaxint

Signature de la méthode tomaxint

Description

tomaxint.__doc__

        tomaxint(size=None)

        Return a sample of uniformly distributed random integers in the interval
        [0, ``np.iinfo(np.int_).max``]. The `np.int_` type translates to the C long
        integer type and its precision is platform dependent.

        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.RandomState() # need a RandomState object
        >>> rs.tomaxint((2,2,2))
        array([[[1170048599, 1600360186], # random
                [ 739731006, 1947757578]],
               [[1871712945,  752307660],
                [1601631370, 1479324245]]])
        >>> rs.tomaxint((2,2,2)) < np.iinfo(np.int_).max
        array([[[ True,  True],
                [ True,  True]],
               [[ True,  True],
                [ True,  True]]])