
'''simple docstring'''





import logging
import os

from .state import PartialState

class 						a   (				logging.LoggerAdapter    ):




				@staticmethod
				def 	__snake_case							(							SCREAMING_SNAKE_CASE_	:				int      ):
										snake_case       :     Dict =    PartialState()
										return not main_process_only or (main_process_only and state.is_main_process)




				def 	__snake_case							(							self	:				Any,    SCREAMING_SNAKE_CASE_	:				Tuple,    SCREAMING_SNAKE_CASE_	:				Any,    *SCREAMING_SNAKE_CASE_	:				List[Any],    **SCREAMING_SNAKE_CASE_	:				Any      ):
										if PartialState._shared_state == {}:
																raise RuntimeError(
																    '''You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'''      )
										snake_case       :     int =    kwargs.pop('''main_process_only''',    SCREAMING_SNAKE_CASE_      )
										snake_case       :     Dict =    kwargs.pop('''in_order''',    SCREAMING_SNAKE_CASE_      )

										if self.isEnabledFor(SCREAMING_SNAKE_CASE_      ):
																if self._should_log(SCREAMING_SNAKE_CASE_      ):
																						snake_case,					snake_case       :     Optional[int] =    self.process(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )
																						self.logger.log(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    *SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )

																elif in_order:
																						snake_case       :     List[str] =    PartialState()
																						for i in range(state.num_processes      ):
																												if i == state.process_index:
																																		snake_case,					snake_case       :     Optional[int] =    self.process(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )
																																		self.logger.log(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    *SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )
																												state.wait_for_everyone()




def      A (       A_							:					str    ,							A_							:					str = None       ):
						if log_level is None:
												snake_case       :     Tuple =    os.environ.get('''ACCELERATE_LOG_LEVEL'''    ,							A_       )
						snake_case       :     Tuple =    logging.getLogger(A_       )
						if log_level is not None:
												logger.setLevel(log_level.upper()       )
												logger.root.setLevel(log_level.upper()       )
						return MultiProcessAdapter(A_    ,							{}       )



'''simple docstring'''





import pytest

from datasets import inspect_metric, list_metrics, load_metric

@pytest.fixture
def      A (       A_							:					str       ):
						monkeypatch.setattr('''datasets.utils.deprecation_utils._emitted_deprecation_warnings'''    ,							set()       )

@pytest.fixture
def      A (       A_							:					Optional[Any]       ):

						class 						a   :




										def __init__(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				Optional[Any]      ):
																snake_case       :     List[str] =    metric_id




						class 						a   :
										_snake_case		    = [MetricMock(__magic_name__    ) for metric_id in ['''accuracy''', '''mse''', '''precision''', '''codeparrot/apps_metric''']]




										def 	__snake_case							(							self	:				str      ):
																return self._metrics




						monkeypatch.setattr('''datasets.inspect.huggingface_hub'''    ,							HfhMock()       )





@pytest.mark.parametrize(
    '''func, args'''    ,							[(load_metric, ('''metrics/mse''',)), (list_metrics, ()), (inspect_metric, ('''metrics/mse''', '''tmp_path'''))]       )
def      A (       A_							:					str    ,							A_							:					Dict    ,							A_							:					int    ,							A_							:					int    ,							A_							:					str       ):
						if "tmp_path" in args:
												snake_case       :     List[str] =    tuple(arg if arg != '''tmp_path''' else tmp_path for arg in args       )
						with pytest.warns(A_    ,							match='''https://huggingface.co/docs/evaluate'''       ):
												func(*A_       )

