code: def _deserialize_pytreedef_to_pytree(p: ser_flatbuf.PyTreeDef):
      # We construct a PyTree and later we'll flatten it to get the PyTreeDef.
      # TODO: is there a more direct way to construct a PyTreeDef?
      kind = p.Kind()
      nr_children = p.ChildrenLength()
      children = [
          _deserialize_pytreedef_to_pytree(p.Children(i))
          for i in range(nr_children)
      ]
      if kind == ser_flatbuf.PyTreeDefKind.leaf:
          return 0.0
      elif kind == ser_flatbuf.PyTreeDefKind.none:
          return None
      elif kind == ser_flatbuf.PyTreeDefKind.tuple:
          return tuple(children)
      elif kind == ser_flatbuf.PyTreeDefKind.list:
          return list(children)
      elif kind == ser_flatbuf.PyTreeDefKind.dict:
          assert p.ChildrenNamesLength() == nr_children
          keys = [
              p.ChildrenNames(i).decode("utf-8")
              for i in range(nr_children)
          ]
          return dict(zip(keys, children))
      else:
          assert False, kind
  
imports: from typing import Callable, TypeVar
  from collections.abc import Sequence
  from jax._src import core
  from jax._src import dtypes
  from jax._src import effects
  from jax._src import tree_util
  from jax._src.lib import xla_client
  from jax.experimental.export import serialization_generated
  from jax.experimental.export import _export
  from jax.experimental import export
  import numpy
label_desc: Use image node_id 8 for calling a global function with example usage: _deserialize_pytreedef_to_pytree(p) and returns: int, None, tuple, list, dict