code: def _convert_block_spec_to_block_mapping(
      in_avals: list[jax_core.ShapedArray],
      block_spec: BlockSpec | None,
      aval: jax_core.ShapedArray,
      in_tree: Any,
  ) -> BlockSpec | None:
      if block_spec is no_block_spec:
          return None
      if block_spec.index_map is None:
          compute_index = lambda *args, **kwargs: (0,) * len(aval.shape)
          block_shape = aval.shape
      else:
          compute_index = block_spec.compute_index
          block_shape = block_spec.block_shape
      block_shape = tuple(
          mapped if s is None else s for s in block_shape
      )
      flat_fun, _ = api_util.flatten_fun(
          lu.wrap_init(compute_index), in_tree
      )
      jaxpr, _, consts = pe.trace_to_jaxpr_dynamic(flat_fun, in_avals)
      return BlockMapping(
          block_shape,
          jax_core.ClosedJaxpr(jaxpr, consts),
          block_spec.memory_space,
      )
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import contextlib
  import dataclasses
  import functools
  from typing import Any, Callable
  from collections.abc import Iterator
  from jax._src import api_util
  from jax._src import core
  from jax._src import linear_util
  from jax._src import state
  from jax._src import tree_util
  from jax._src import util
  from jax._src.interpreters import partial_eval
  from jax._src.state import discharge
  import jax.numpy
label_desc: Use image node_id 4 for calling a global function with example usage: _convert_block_spec_to_block_mapping(in_avals, block_spec, aval, in_tree) and returns: BlockMapping, None