code: def debatchify_params(params: PyTree) -> List[Dict[str, Any]]:
      """Nested dict of rank n tensors -> a list of nested dicts of rank n-1's."""
      n = get_params_batch_length(params)
  
      def get_item(i):
          return jax.tree_map(lambda x: x[i, ...], params)
  
      return [get_item(i) for i in range(n)]
  
imports: import functools
  from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
  import bayeux
  import jax
  import jax.numpy
  from jaxtyping import PyTree
  import matplotlib.pyplot
  import numpy
  import pandas
  from tensorflow_probability.python.experimental.autobnn import bnn
  from tensorflow_probability.python.experimental.autobnn import util
  from tensorflow_probability.python.experimental.timeseries import metrics
  import tensorflow_probability.substrates.jax
label_desc: Use image node_id 12 for calling a global function with example usage: debatchify_params(params) and returns: unknown, jax