





'''simple docstring'''

import logging
import os

from .state import PartialState
class     __lowerCAmelCase					(   logging.LoggerAdapter			):






       """simple docstring"""





       @staticmethod
       def snake_case__						(							lowerCAmelCase__       :		Dict					)   ->					Union[str, Any]:

            '''simple docstring'''




            _UpperCamelCase       =	PartialState()
            return not main_process_only or (main_process_only and state.is_main_process)







       def snake_case__						(							self       :		Dict	,			lowerCAmelCase__       :		List[str]	,			lowerCAmelCase__       :		int	,			*lowerCAmelCase__       :		Optional[int]	,			**lowerCAmelCase__       :		List[Any]					)   ->					Dict:

            '''simple docstring'''




            if PartialState._shared_state == {}:
                 raise RuntimeError(
                     '''You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'''					)
            _UpperCamelCase       =	kwargs.pop('''main_process_only'''	,			lowerCAmelCase__					)
            _UpperCamelCase       =	kwargs.pop('''in_order'''	,			lowerCAmelCase__					)

            if self.isEnabledFor(lowerCAmelCase__					):
                 if self._should_log(lowerCAmelCase__					):
                      _UpperCamelCase   ,    _UpperCamelCase       =	self.process(lowerCAmelCase__	,			lowerCAmelCase__					)
                      self.logger.log(lowerCAmelCase__	,			lowerCAmelCase__	,			*lowerCAmelCase__	,			**lowerCAmelCase__					)

                 elif in_order:
                      _UpperCamelCase       =	PartialState()
                      for i in range(state.num_processes					):
                           if i == state.process_index:
                                _UpperCamelCase   ,    _UpperCamelCase       =	self.process(lowerCAmelCase__	,			lowerCAmelCase__					)
                                self.logger.log(lowerCAmelCase__	,			lowerCAmelCase__	,			*lowerCAmelCase__	,			**lowerCAmelCase__					)
                           state.wait_for_everyone()







def  a__    (    lowercase :					str, lowercase :					str = None				)		->		Tuple:





     """simple docstring"""

     if log_level is None:
          _UpperCamelCase       =	os.environ.get('''ACCELERATE_LOG_LEVEL''', lowercase				)
     _UpperCamelCase       =	logging.getLogger(lowercase				)
     if log_level is not None:
          logger.setLevel(log_level.upper()				)
          logger.root.setLevel(log_level.upper()				)
     return MultiProcessAdapter(lowercase, {}				)










'''simple docstring'''

from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__						:      Optional[Any]	=    {
    'configuration_autoformer': [
        'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'AutoformerConfig',
    ],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__						:      List[Any]	=    [
       'AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'AutoformerForPrediction',
       'AutoformerModel',
       'AutoformerPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_autoformer import (
       AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       AutoformerConfig,
   )

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_autoformer import (
          AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          AutoformerForPrediction,
          AutoformerModel,
          AutoformerPreTrainedModel,
      )

else:
   import sys

   lowercase__						:      Tuple	=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



