code: def __call__(self, out, like=_like_sentinel):
      if like is _like_sentinel:
          dynamic_out, static_out = partition(
              out, _is_array_like_internal
          )
          flat_out, treedef_out = jtu.tree_flatten(dynamic_out)
          try:
              treedef_out_old = self.treedef_out
              static_out_old = self.static_out
          except AttributeError:
              self.treedef_out = treedef_out
              self.static_out = static_out
          else:
              assert treedef_out_old == treedef_out
              assert tree_equal(static_out_old, static_out)
          return flat_out
      else:
          assert jtu.tree_structure(
              out, is_leaf=_is_none
          ) == jtu.tree_structure(like, is_leaf=_is_none)
          spec = jtu.tree_map(_make_spec, out, like, is_leaf=_is_none)
          dynamic_out, static_out = partition(
              out, spec, is_leaf=_is_none
          )
          flat_out, treedef_out = jtu.tree_flatten(dynamic_out)
          try:
              treedef_out_old = self.treedef_out
              static_out_old = self.static_out
          except AttributeError:
              self.treedef_out = treedef_out
              self.static_out = static_out
          else:
              assert treedef_out_old == treedef_out
              assert tree_equal(static_out_old, static_out)
          like = jtu.tree_map(_replace_none, like, is_leaf=_is_none)
          like = jtu.tree_map(_get_second, dynamic_out, like)
          flat_like, treedef_like = jtu.tree_flatten(like)
          flat_like = [
              None if x is _dummy_none else x for x in flat_like
          ]
          assert treedef_like == treedef_out
          assert len(flat_out) == len(flat_like)
          return flat_out, flat_like
  
imports: import functools
  from typing import Any
  import jax
  import jax.core
  import jax.interpreters.ad
  import jax.interpreters.batching
  import jax.interpreters.mlir
  import jax.tree_util
  from jaxtyping import PyTree
  from .._filters import combine, is_array, is_array_like, partition
  from .._tree import tree_equal
label_desc: Use image node_id 3 for calling the Flatten obj's underlying member method code with example usage: obj.__call__(out, like) and returns: flat_out, flat_out,  flat_like