


import logging
import os

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



					'''simple docstring'''







					@staticmethod
					def A      (				snake_case_						)   ->			Any:







								'''simple docstring'''

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






					def A      (				self ,       snake_case_ ,       snake_case_ ,       *snake_case_ ,       **snake_case_						)   ->			str:







								'''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.'''						)
								__lowercase 					=   kwargs.pop('''main_process_only''' ,       snake_case_						)
								__lowercase 					=   kwargs.pop('''in_order''' ,       snake_case_						)

								if self.isEnabledFor(snake_case_						):
											if self._should_log(snake_case_						):
														__lowercase					, __lowercase 					=   self.process(snake_case_ ,       snake_case_						)
														self.logger.log(snake_case_ ,       snake_case_ ,       *snake_case_ ,       **snake_case_						)

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




def 		lowercase_  (     _UpperCamelCase       ,			_UpperCamelCase = None  ):


			'''simple docstring'''







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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a : List[str]		=				{
    '''configuration_table_transformer''': [
        '''TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''TableTransformerConfig''',
        '''TableTransformerOnnxConfig''',
    ]
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a : Union[str, Any]		=				[
	    '''TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TableTransformerForObjectDetection''',
	    '''TableTransformerModel''',
	    '''TableTransformerPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_table_transformer import (
	    TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    TableTransformerConfig,
	    TableTransformerOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_table_transformer import (
		    TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TableTransformerForObjectDetection,
		    TableTransformerModel,
		    TableTransformerPreTrainedModel,
		)

else:
	import sys

	a : Any		=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


