code: def jax_randint(key, shape, minval, maxval, dtype=np.int32):
      """Sample uniform random values in [minval, maxval) with given shape/dtype.
  
      Args:
        key: a PRNGKey used as the random key.
        shape: a tuple of nonnegative integers representing the shape.
        minval: int or array of ints broadcast-compatible with ``shape``, a minimum
          (inclusive) value for the range.
        maxval: int or array of ints broadcast-compatible with  ``shape``, a maximum
          (exclusive) value for the range.
        dtype: optional, an int dtype for the returned values (default int32).
  
      Returns:
        A random array with the specified shape and dtype.
      """
      return jax_random.randint(
          key, shape, minval=minval, maxval=maxval, dtype=dtype
      )
  
imports: import functools
  import jax
  from jax import lax
  from jax import random
  import jax.numpy
  import jax.scipy.special
  import numpy
  import tensorflow
  import tensorflow_datasets
  from trax.fastmath import numpy
  from trax.shapes import signature
label_desc: Use image node_id 8 for calling a global function with example usage: jax_randint(key, shape, minval, maxval, dtype) and returns: jax_random