code: def broadcast_in_dim(operand, shape, broadcast_dimensions):
      in_reshape = np.ones(len(shape), dtype=np.int32)
      for i, bd in enumerate(broadcast_dimensions):
          in_reshape[bd] = operand.shape[i]
      return np.broadcast_to(np.reshape(operand, in_reshape), shape)
  
imports: import builtins
  import collections
  import itertools
  import numpy
  import opt_einsum
  import scipy.special
  from jax._src import dtypes
  from jax._src import util
label_desc: Use image node_id 26 for calling a global function with example usage: broadcast_in_dim(operand, shape, broadcast_dimensions) and returns: np