code: def test_to_numpy_na_value(dtype, nulls_fixture):
      na_value = nulls_fixture
      arr = pd.array(["a", pd.NA, "b"], dtype=dtype)
      result = arr.to_numpy(na_value=na_value)
      expected = np.array(["a", na_value, "b"], dtype=object)
      tm.assert_numpy_array_equal(result, expected)
  
imports: import operator
  import numpy
  import pytest
  from pandas.compat.pyarrow import pa_version_under12p0
  from pandas.core.dtypes.common import is_dtype_equal
  import pandas
  import pandas._testing
  from pandas.core.arrays.string_arrow import ArrowStringArray, ArrowStringArrayNumpySemantics
label_desc: Use image node_id 40 for calling a global function with example usage: test_to_numpy_na_value(dtype, nulls_fixture) without return types