class_docstr: Initializes by sampling from a uniform distribution.
code: def __call__(self, shape: Sequence[int], dtype: Any) -> jax.Array:
      return jax.random.uniform(
          hk.next_rng_key(), shape, dtype, self.minval, self.maxval
      )
  
imports: from collections.abc import Sequence
  from typing import Any, Union
  from haiku._src import base
  from haiku._src.typing import Initializer
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 2 for calling the RandomUniform obj's underlying member method code with example usage: obj.__call__(shape, dtype) and returns: jax