code: def test_numpy_array_all_dtypes(any_numpy_dtype):
      ser = Series(dtype=any_numpy_dtype)
      result = ser.array
      if np.dtype(any_numpy_dtype).kind == "M":
          assert isinstance(result, DatetimeArray)
      elif np.dtype(any_numpy_dtype).kind == "m":
          assert isinstance(result, TimedeltaArray)
      else:
          assert isinstance(result, NumpyExtensionArray)
  
imports: import numpy
  import pytest
  from pandas.core.dtypes.dtypes import DatetimeTZDtype
  import pandas
  from pandas import CategoricalIndex, Series, Timedelta, Timestamp, date_range
  import pandas._testing
  from pandas.core.arrays import DatetimeArray, IntervalArray, NumpyExtensionArray, PeriodArray, SparseArray, TimedeltaArray
  from pandas.core.arrays.string_arrow import ArrowStringArrayNumpySemantics
label_desc: Use image node_id 3 for calling a global function with example usage: test_numpy_array_all_dtypes(any_numpy_dtype) without return types