code: def broadcast_to(a: Array, shape: tuple[int, ...]) -> Array:
      import jax.numpy as jnp
  
      a = jnp.asarray(a)
      if a.shape == shape:
          return a
      return broadcast_to_p.bind(a, shape=shape)
  
imports: from __future__ import annotations
  from functools import partial
  from typing import Any, Union
  import numpy
  from jax._src import ad_util
  from jax._src import core
  from jax._src import pretty_printer
  from jax._src import tree_util
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.interpreters import partial_eval
  from jax._src.interpreters import mlir
  from jax._src.lax import lax
  from jax._src.typing import Array
  from jax._src.state import indexing
  from jax._src.state.types import AbstractRef, RefView, ReadEffect, WriteEffect, AccumEffect
  from jax._src.util import safe_map, safe_zip
label_desc: Use image node_id 33 for calling a global function with example usage: broadcast_to(a, shape) and returns: broadcast_to_p, a