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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def randint(low, high, shape=_Null, dtype=_Null, ctx=None, out=None, **kwargs):
 """Draw random samples from a discrete uniform distribution. Samples are uniformly distributed over the half-open interval *[low, high)* (includes *low*, but excludes *high*). Parameters low : int, required Lower boundary of the output interval. All values generated will be greater than or equal to low. high : int, required Upper boundary of the output interval. All values generated will be less than high. shape : int or tuple of ints, optional The number of samples to draw. If shape is, e.g., `(m, n)` and `low` and `high` are scalars, output shape will be `(m, n)`. dtype : {'int32', 'int64'}, optional Data type of output samples. Default is 'int32' ctx : Context, optional Device context of output. Default is current context. Overridden by `low.context` when `low` is an NDArray. out : NDArray, optional Store output to an existing NDArray. Returns ------- NDArray An NDArray of type `dtype`. If input `shape` has shape, e.g., `(m, n)`, the returned NDArray will shape will be `(m, n)`. Contents of the returned NDArray will be samples from the interval `[low, high)`. Examples -------- [ 90] <NDArray 1 @cpu(0) [ -8] <NDArray 1 @gpu(0)> [ -5 4] <NDArray 2 @cpu(0)> """

    return _random_helper(_internal._random_randint, None,
                          [low, high], shape, dtype, ctx, out, kwargs)