


'''simple docstring'''






import logging
import os

from .state import PartialState






class    __snake_case       (   logging.LoggerAdapter):







    """simple docstring"""



    @staticmethod
    def __lowercase   (   lowerCamelCase    :  List[str]		)   ->  Dict:
      lowerCAmelCase_			:      Optional[int]			=   PartialState()
      return not main_process_only or (main_process_only and state.is_main_process)





    def __lowercase   (   self    :  str    ,						lowerCamelCase    :  Optional[Any]    ,						lowerCamelCase    :  List[Any]    ,						*lowerCamelCase    :  Optional[Any]    ,						**lowerCamelCase    :  Dict		)   ->  List[Any]:
      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"""    ,						lowerCamelCase		)
      lowerCAmelCase_			:      str			=   kwargs.pop("""in_order"""    ,						lowerCamelCase		)

      if self.isEnabledFor(lowerCamelCase		):
        if self._should_log(lowerCamelCase		):
          lowerCAmelCase_,							lowerCAmelCase_			:      Tuple			=   self.process(lowerCamelCase    ,						lowerCamelCase		)
          self.logger.log(lowerCamelCase    ,						lowerCamelCase    ,						*lowerCamelCase    ,						**lowerCamelCase		)

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







def 				UpperCamelCase_			(    A__					:   str							,    A__					:   str = None					):
  '''simple docstring'''





  if log_level is None:
    lowerCAmelCase_			:      List[str]			=   os.environ.get("""ACCELERATE_LOG_LEVEL"""							,    A__					)
  lowerCAmelCase_			:      Union[str, Any]			=   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'''






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A					:  Dict											=      {"configuration_timm_backbone": ["TimmBackboneConfig"]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A					:  str											=      ["TimmBackbone"]


if TYPE_CHECKING:
  from .configuration_timm_backbone import TimmBackboneConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timm_backbone import TimmBackbone

else:
  import sys

  __A					:  Dict											=      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



