code: def _pre_gather_for_scalar_indexing(args: GatherArgs):
      """Returns True if this call to gather represents scalar indexing into arrays.
  
      E.g., op[2], op[:, :5, :], jnp.take(op, 0, axis=0).
      """
      # TODO(marcvanzee): Add more assumptions here, because this is currently too
      # permissive.
      if len(args.start_indices_shape) != 1:
          raise ValueError("start_indices shape should be 1")
  
imports: from __future__ import annotations
  import builtins
  from collections.abc import Sequence
  import dataclasses
  from functools import partial, wraps
  import math
  import string
  from typing import Any, Callable, Optional
  from jax._src import core
  from jax import lax
  from jax._src.lax import slicing
  from jax._src import dtypes
  from jax._src import util
  from jax.experimental.jax2tf import jax2tf
  import numpy
  import tensorflow
label_desc: Use image node_id 26 for calling a global function with example usage: _pre_gather_for_scalar_indexing(args) without return types