
import logging
import os

from .state import PartialState





class 							A__		(	logging.LoggerAdapter):
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__      ):
       lowerCamelCase		:	str							=      PartialState()
       return not main_process_only or (main_process_only and state.is_main_process)






      def 						UpperCamelCase__							(      self    ,  __magic_name__    ,  __magic_name__    ,  *__magic_name__    ,  **__magic_name__      ):
       if PartialState._shared_state == {}:
        raise RuntimeError(
            """You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility."""      )
       lowerCamelCase		:	Optional[Any]							=      kwargs.pop("""main_process_only"""    ,  __magic_name__      )
       lowerCamelCase		:	Optional[int]							=      kwargs.pop("""in_order"""    ,  __magic_name__      )

       if self.isEnabledFor(__magic_name__      ):
        if self._should_log(__magic_name__      ):
         lowerCamelCase			,    lowerCamelCase		:	Any							=      self.process(__magic_name__    ,  __magic_name__      )
         self.logger.log(__magic_name__    ,  __magic_name__    ,  *__magic_name__    ,  **__magic_name__      )

        elif in_order:
         lowerCamelCase		:	Tuple							=      PartialState()
         for i in range(state.num_processes      ):
          if i == state.process_index:
           lowerCamelCase			,    lowerCamelCase		:	str							=      self.process(__magic_name__    ,  __magic_name__      )
           self.logger.log(__magic_name__    ,  __magic_name__    ,  *__magic_name__    ,  **__magic_name__      )
          state.wait_for_everyone()





def     _a					(						lowerCamelCase,	lowerCamelCase = None							):
 if log_level is None:
  lowerCamelCase		:	List[Any]							=      os.environ.get("""ACCELERATE_LOG_LEVEL""",	lowerCamelCase							)
 lowerCamelCase		:	List[str]							=      logging.getLogger(lowerCamelCase							)
 if log_level is not None:
  logger.setLevel(log_level.upper()							)
  logger.root.setLevel(log_level.upper()							)
 return MultiProcessAdapter(lowerCamelCase,	{}							)






_lowerCamelCase					   ={
    "joule": 1.0,
    "kilojoule": 1_0_0_0,
    "megajoule": 1_0_0_0_0_0_0,
    "gigajoule": 1_0_0_0_0_0_0_0_0_0,
    "wattsecond": 1.0,
    "watthour": 3_6_0_0,
    "kilowatthour": 3_6_0_0_0_0_0,
    "newtonmeter": 1.0,
    "calorie_nutr": 4_1_8_6.8,
    "kilocalorie_nutr": 4_1_8_6_8_0_0.0_0,
    "electronvolt": 1.6_0_2_1_7_6_6_3_4E-1_9,
    "britishthermalunit_it": 1_0_5_5.0_5_5_8_5,
    "footpound": 1.355818,
}





def     _a					(						lowerCamelCase,	lowerCamelCase,	lowerCamelCase							):
 if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
  lowerCamelCase		:	Dict							=      (
      F'''Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
      F'''Valid values are: {", ".join(lowerCamelCase							)}'''
  )
  raise ValueError(lowerCamelCase							)
 return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
      import doctest

      doctest.testmod()




