code: def test_column_chunked_array_creation():
      pyarrow_array = pa.array([1, 2, 3] * 1000)
      chunked_array = pa.chunked_array(pyarrow_array)
  
      actual_column = cudf.core.column.as_column(
          chunked_array, dtype="float"
      )
      expected_column = cudf.core.column.as_column(
          pyarrow_array, dtype="float"
      )
  
      assert_eq(
          cudf.Series(actual_column), cudf.Series(expected_column)
      )
  
      actual_column = cudf.core.column.as_column(chunked_array)
      expected_column = cudf.core.column.as_column(pyarrow_array)
  
      assert_eq(
          cudf.Series(actual_column), cudf.Series(expected_column)
      )
  
imports: import cupy
  import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf._lib.transform import mask_to_bools
  from cudf.core.column.column import as_column
  from cudf.testing._utils import assert_eq, assert_exceptions_equal
  from cudf.utils import dtypes
label_desc: Use image node_id 12 for calling a global function with example usage: test_column_chunked_array_creation() without return types