code: def init_lstm_weight(
      rng: PRNGKeyArray,
      input_size: int,
      hidden_size: int,
      num_layers: int,
      bidirectional: bool,
  ):
      """Random initialize LSTM weights from U(-k, k), k=sqrt(1/hidden_size)."""
      param_count = get_num_params_in_lstm(
          input_size, hidden_size, num_layers, bidirectional
      )
      k = np.sqrt(1.0 / hidden_size)
      return jax.random.uniform(
          rng,
          shape=(param_count,),
          dtype=jnp.float32,
          minval=-k,
          maxval=k,
      )
  
imports: from functools import partial
  import math
  from typing import Any
  import jax
  import numpy
  from jax._src import core
  from jax.interpreters import mlir
  from jax.interpreters import xla
  from jax._src.custom_derivatives import custom_vjp
  from jax._src.typing import Array, Shape
  from jax._src.lax import lax
  import jax.numpy
label_desc: Use image node_id 7 for calling a global function with example usage: init_lstm_weight(rng, input_size, hidden_size, num_layers, bidirectional) and returns: jax