code: def make_array_for_struct(
      dtype, cardinality, size, max_null_frequency
  ):
      """
      Helper to create a pa.array with `size` and `dtype`
      for a `StructArray`.
      """
  
      null_frequency = np.random.uniform(low=0, high=max_null_frequency)
      local_cardinality = max(
          np.random.randint(low=0, high=cardinality), 1
      )
      data = get_values_for_nested_data(
          dtype=dtype.type.to_pandas_dtype(), size=local_cardinality
      )
      vals = np.random.choice(data, size=size)
  
      return pa.array(
          vals,
          mask=np.random.choice(
              [True, False],
              size=size,
              p=[null_frequency, 1 - null_frequency],
          )
          if null_frequency > 0.0
          else None,
          size=size,
          safe=False,
          type=dtype.type,
      )
  
imports: import copy
  import random
  import string
  import uuid
  from multiprocessing import Pool
  import numpy
  import pandas
  import pyarrow
  from pyarrow import parquet
  import cudf
  from cudf.utils.dtypes import np_to_pa_dtype
label_desc: Use image node_id 14 for calling a global function with example usage: make_array_for_struct(dtype, cardinality, size, max_null_frequency) and returns: pa