code: def scatter_flat(
      indices: JaxArray,
      updates: JaxArray,
      /,
      *,
      size: Optional[int] = None,
      reduction: str = "sum",
      out: Optional[JaxArray] = None,
  ) -> JaxArray:
      target = out
      target_given = ivy.exists(target)
      if ivy.exists(size) and ivy.exists(target):
          ivy.utils.assertions.check_equal(
              len(target.shape), 1, as_array=False
          )
          ivy.utils.assertions.check_equal(
              target.shape[0], size, as_array=False
          )
      if not target_given:
          reduction = "replace"
      if reduction == "sum":
          target = target.at[indices].add(updates)
      elif reduction == "replace":
          if not target_given:
              target = jnp.zeros([size], dtype=updates.dtype)
          target = target.at[indices].set(updates)
      elif reduction == "min":
          target = target.at[indices].min(updates)
      elif reduction == "max":
          target = target.at[indices].max(updates)
      else:
          raise ivy.utils.exceptions.IvyException(
              f'reduction is {reduction}, but it must be one of "sum", "min", "max" or'
              ' "replace"'
          )
      if target_given:
          return ivy.inplace_update(out, target)
      return target
  
imports: import jax
  import numpy
  import jax.numpy
  from numbers import Number
  from operator import mul
  from functools import reduce
  from typing import Optional, Union, Sequence, Callable, Tuple
  import multiprocessing
  import importlib
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.backends.jax.device import _to_array, _to_device
  from ivy.functional.ivy.general import _broadcast_to
  from ivy.functional.backends.jax import JaxArray, NativeArray
  from ivy.utils.exceptions import _check_inplace_update_support
  from .None import backend_version
label_desc: Use image node_id 22 for calling a global function with example usage: scatter_flat() and returns: target, ivy