
'''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       :     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       :     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'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase    					=   {
    "configuration_swiftformer": [
        "SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SwiftFormerConfig",
        "SwiftFormerOnnxConfig",
    ]
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCAmelCase    					=   [
						    "SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "SwiftFormerForImageClassification",
						    "SwiftFormerModel",
						    "SwiftFormerPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_swiftformer import (
						    SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    SwiftFormerConfig,
						    SwiftFormerOnnxConfig,
						)

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_swiftformer import (
												    SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    SwiftFormerForImageClassification,
												    SwiftFormerModel,
												    SwiftFormerPreTrainedModel,
												)

else:
						import sys

						UpperCAmelCase    					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

