code: def is_complex_dtype(arr_or_dtype) -> bool:
      """
      Check whether the provided array or dtype is of a complex dtype.
  
      Parameters
      ----------
      arr_or_dtype : array-like or dtype
          The array or dtype to check.
  
      Returns
      -------
      boolean
          Whether or not the array or dtype is of a complex dtype.
  
      Examples
      --------
      >>> from pandas.api.types import is_complex_dtype
      >>> is_complex_dtype(str)
      False
      >>> is_complex_dtype(int)
      False
      >>> is_complex_dtype(np.complex_)
      True
      >>> is_complex_dtype(np.array(['a', 'b']))
      False
      >>> is_complex_dtype(pd.Series([1, 2]))
      False
      >>> is_complex_dtype(np.array([1 + 1j, 5]))
      True
      """
      return _is_dtype_type(arr_or_dtype, classes(np.complexfloating))
  
imports: from __future__ import annotations
  from typing import Any, Callable
  import warnings
  import numpy
  from pandas._libs import Interval, Period, algos, lib
  from pandas._libs.tslibs import conversion
  from pandas._typing import ArrayLike, DtypeObj
  from pandas.core.dtypes.base import _registry
  from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype, ExtensionDtype, IntervalDtype, PeriodDtype
  from pandas.core.dtypes.generic import ABCIndex
  from pandas.core.dtypes.inference import is_array_like, is_bool, is_complex, is_dataclass, is_decimal, is_dict_like, is_file_like, is_float, is_hashable, is_integer, is_interval, is_iterator, is_list_like, is_named_tuple, is_nested_list_like, is_number, is_re, is_re_compilable, is_scalar, is_sequence
label_desc: Use image node_id 37 for calling a global function with example usage: is_complex_dtype(arr_or_dtype) and returns: _is_dtype_type