code: def reduce_window(
      operand: JaxArray,
      init_value: Union[int, float],
      computation: Callable,
      window_dimensions: Union[int, Sequence[int]],
      /,
      *,
      window_strides: Union[int, Sequence[int]] = 1,
      padding: Union[str, int, Sequence[Tuple[int, int]]] = "VALID",
      base_dilation: Union[int, Sequence[int]] = 1,
      window_dilation: Union[int, Sequence[int]] = 1,
  ) -> JaxArray:
      computation = _correct_ivy_callable(computation)
      computation = output_to_native_arrays(computation)
      (
          window_dimensions,
          window_strides,
          padding,
          base_dilation,
          window_dilation,
      ) = map(
          lambda x: tuple([x] * len(operand.shape))
          if isinstance(x, int)
          else x,
          [
              window_dimensions,
              window_strides,
              padding,
              base_dilation,
              window_dilation,
          ],
      )
      if not isinstance(padding, str):
          # for containers the padding reaches the function as a list of lists instead of
          # a list of tuples, which gives an unhashable dtype error
          # this is similarly a problem in the jax backend of ivy.pad
          padding = _to_nested_tuple(padding)
      return jlax.reduce_window(
          operand,
          jnp.array(init_value).astype(operand.dtype),
          computation,
          window_dimensions,
          window_strides,
          padding,
          base_dilation,
          window_dilation,
      )
  
imports: from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
  import jax
  import jax.lax
  import jax.numpy
  import math
  import ivy
  from ivy import output_to_native_arrays
  from ivy.functional.backends.jax import JaxArray
  from ivy.functional.backends.jax.random import RNG
  from ivy.functional.ivy.experimental.general import _correct_ivy_callable
  from ivy.functional.ivy.layers import _handle_padding, _validate_max_pool_params, _depth_max_pooling_helper
  from ivy.functional.ivy.experimental.layers import _padding_ceil_mode, _get_size
  from ivy.func_wrapper import with_supported_dtypes
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
  from ivy.functional.backends.jax.experimental.manipulation import _to_nested_tuple
label_desc: Use image node_id 18 for calling a global function with example usage: reduce_window() and returns: jlax