code: def na_value_for_dtype(dtype: DtypeObj, compat: bool = True):
      """
      Return a dtype compat na value
  
      Parameters
      ----------
      dtype : string / dtype
      compat : bool, default True
  
      Returns
      -------
      np.dtype or a pandas dtype
  
      Examples
      --------
      >>> na_value_for_dtype(np.dtype('int64'))
      0
      >>> na_value_for_dtype(np.dtype('int64'), compat=False)
      nan
      >>> na_value_for_dtype(np.dtype('float64'))
      nan
      >>> na_value_for_dtype(np.dtype('bool'))
      False
      >>> na_value_for_dtype(np.dtype('datetime64[ns]'))
      numpy.datetime64('NaT')
      """
  
      if isinstance(dtype, ExtensionDtype):
          return dtype.na_value
      elif needs_i8_conversion(dtype):
          return dtype.type("NaT", "ns")
      elif is_float_dtype(dtype):
          return np.nan
      elif is_integer_dtype(dtype):
          if compat:
              return 0
          return np.nan
      elif is_bool_dtype(dtype):
          if compat:
              return False
          return np.nan
      return np.nan
  
imports: from __future__ import annotations
  from decimal import Decimal
  from functools import partial
  from typing import TYPE_CHECKING, overload
  import numpy
  from pandas._config import get_option
  from pandas._libs import lib
  import pandas._libs.missing
  from pandas._libs.tslibs import NaT, iNaT
  from pandas.core.dtypes.common import DT64NS_DTYPE, TD64NS_DTYPE, ensure_object, is_bool_dtype, is_categorical_dtype, is_complex_dtype, is_dtype_equal, is_extension_array_dtype, is_float_dtype, is_integer_dtype, is_object_dtype, is_scalar, is_string_or_object_np_dtype, needs_i8_conversion
  from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype, ExtensionDtype, IntervalDtype, PeriodDtype
  from pandas.core.dtypes.generic import ABCDataFrame, ABCExtensionArray, ABCIndex, ABCMultiIndex, ABCSeries
  from pandas.core.dtypes.inference import is_list_like
label_desc: Use image node_id 25 for calling a global function with example usage: na_value_for_dtype(dtype, compat) and returns: np, dtype, dtype, np, np, int, np, False