code: def _gather_for_scalar_indexing(args: GatherArgs):
      """Implements 'scalar indexing into arrays' cases of lax.gather using tf.slice.
  
      E.g., op[2], op[:, :5, :], jnp.take(op, 0, axis=0).
      """
      indices = tf.expand_dims(args.dnums.start_index_map, 1)
      # lax.gather uses an "index map" which maps `start_indices` to the right axes
      # in `operand`. Since tf.strided_slice uses a single array for specifying the
      # start indices, we use a scatter to map the start indices to the right axes.
      op_shape = jax2tf._eval_shape(args.op_shape)
      slice_sizes_tf = jax2tf._eval_shape(args.slice_sizes)
      # TODO(marcvanzee): Consider transposing `operand`, which is probably more
      # optimization friendly.
      begin = tf.scatter_nd(
          indices, args.start_indices, [len(op_shape)]
      )
      begin = _clip(op_shape, begin, slice_sizes_tf)
      end = slice_sizes_tf + begin
  
      # `collapsed_slice_dims` is a tuple of dimensions to collapse, e.g. (0, 2).
      # `tf.strided_slice` expects a binary mask to specify the shrink axes, i.e.,
      # if we want to shrink axis 0 and 2, this corresponds to binary mask 101,
      # which is 5 in decimals. The following line converts the lax representation
      # to the one used by `tf.strided_slice`.
      shrink_mask = sum(2**x for x in args.dnums.collapsed_slice_dims)
      res = tf.strided_slice(
          args.operand, begin, end, shrink_axis_mask=shrink_mask
      )
      # Shape inference doesn't work for tf.strided_slice.
      res = jax2tf._ensure_tf_shape_if_dynamic(
          res, jax2tf._aval_to_tf_shape(args.out_aval)
      )
      return res
  
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 27 for calling a global function with example usage: _gather_for_scalar_indexing(args) and returns: res