





"""simple docstring"""






import logging
import os

from .state import PartialState




class 			__lowercase     (     logging.LoggerAdapter							):







					'''simple docstring'''




					@staticmethod
					def 	_lowerCamelCase						(  _UpperCAmelCase       ):
									__a	:  List[Any]         =					PartialState()
									return not main_process_only or (main_process_only and state.is_main_process)







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

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

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






def       __A (     a_  :str				,    a_  :str = None)						->						List[str]:
				if log_level is None:
								__a	:  Dict         =					os.environ.get('''ACCELERATE_LOG_LEVEL'''				,    a_)
				__a	:  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"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


A	     =					{
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					['''MvpTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					[
		    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''MvpForCausalLM''',
		    '''MvpForConditionalGeneration''',
		    '''MvpForQuestionAnswering''',
		    '''MvpForSequenceClassification''',
		    '''MvpModel''',
		    '''MvpPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
		from .tokenization_mvp import MvpTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_mvp_fast import MvpTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mvp import (
				    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MvpForCausalLM,
				    MvpForConditionalGeneration,
				    MvpForQuestionAnswering,
				    MvpForSequenceClassification,
				    MvpModel,
				    MvpPreTrainedModel,
				)

else:
		import sys

		A	     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)