code: def ragged_array_to_ndarray(
      ragged_array: Iterable[np.ndarray],
  ) -> np.ndarray:
      """Converts ragged array to numpy array.
  
      Ragged array, also known as a jagged array, irregular array is an array of
      arrays of which the member arrays can be of different lengths.
      Try to convert as is (preserves type), if it fails because not all numpy arrays have
      the same shape, then creates numpy array of objects.
      """
      try:
          return np.array(ragged_array)
      except ValueError:
          return np.array(ragged_array, dtype=object)
  
imports: import logging
  from typing import Optional, DefaultDict, Dict, Iterable, Text, List, Tuple, Any, Union, NamedTuple, ItemsView, overload, cast
  from collections import defaultdict, OrderedDict
  import numpy
  import scipy.sparse
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 1 for calling a global function with example usage: ragged_array_to_ndarray(ragged_array) and returns: np, np