code: def _maybe_dynamic_update_slice(
      start_idx, block_shape, value, update, is_indexing
  ):
      if start_idx is None:
          assert is_indexing is None
          return update
      assert is_indexing is not None
      broadcast_dims = tuple(
          i for i, b in enumerate(is_indexing) if not b
      )
      update = lax.broadcast_in_dim(update, block_shape, broadcast_dims)
      assert update.shape == block_shape
      return lax.dynamic_update_slice(value, update, start_idx)
  
imports: from __future__ import annotations
  from functools import partial
  import itertools
  from typing import Any, Callable
  from collections.abc import Sequence
  import jax
  from jax import api_util
  from jax import tree_util
  from jax import lax
  from jax._src import state
  from jax.interpreters import ad
  from jax.interpreters import batching
  from jax.interpreters import partial_eval
  from jax.interpreters import mlir
  from jax.interpreters import xla
  from jax._src import ad_util
  from jax._src import core
  from jax._src.state import primitives
  from jax._src import linear_util
  from jax._src.state import discharge
  from jax._src.util import split_list, safe_map, safe_zip, weakref_lru_cache, tuple_insert, partition_list, merge_lists
  import jax.numpy
  import numpy
  from jax._src.pallas import core
label_desc: Use image node_id 2 for calling a global function with example usage: _maybe_dynamic_update_slice(start_idx, block_shape, value, update, is_indexing) and returns: lax, update