

'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_							    =				logging.get_logger(__name__)

A_							    =				{
    '''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json''',
}





class 				_snake_case			(							_a    ):
   _A							:  Any      =       '''lxmert'''
   _A							:  Optional[Any]      =       {}
   def __init__(			self      :   int  ,SCREAMING_SNAKE_CASE__      :   List[str]=30_522  ,SCREAMING_SNAKE_CASE__      :   Dict=768  ,SCREAMING_SNAKE_CASE__      :   Optional[int]=12  ,SCREAMING_SNAKE_CASE__      :   List[Any]=9_500  ,SCREAMING_SNAKE_CASE__      :   Optional[Any]=1_600  ,SCREAMING_SNAKE_CASE__      :   Any=400  ,SCREAMING_SNAKE_CASE__      :   Optional[Any]=3_072  ,SCREAMING_SNAKE_CASE__      :   Optional[int]="gelu"  ,SCREAMING_SNAKE_CASE__      :   List[Any]=0.1  ,SCREAMING_SNAKE_CASE__      :   Dict=0.1  ,SCREAMING_SNAKE_CASE__      :   Optional[Any]=512  ,SCREAMING_SNAKE_CASE__      :   List[str]=2  ,SCREAMING_SNAKE_CASE__      :   Dict=0.02  ,SCREAMING_SNAKE_CASE__      :   Union[str, Any]=1e-12  ,SCREAMING_SNAKE_CASE__      :   str=9  ,SCREAMING_SNAKE_CASE__      :   Optional[Any]=5  ,SCREAMING_SNAKE_CASE__      :   Optional[Any]=5  ,SCREAMING_SNAKE_CASE__      :   List[str]=2_048  ,SCREAMING_SNAKE_CASE__      :   int=4  ,SCREAMING_SNAKE_CASE__      :   List[str]=6.67  ,SCREAMING_SNAKE_CASE__      :   Tuple=True  ,SCREAMING_SNAKE_CASE__      :   str=True  ,SCREAMING_SNAKE_CASE__      :   Union[str, Any]=True  ,SCREAMING_SNAKE_CASE__      :   Dict=True  ,SCREAMING_SNAKE_CASE__      :   str=True  ,SCREAMING_SNAKE_CASE__      :   List[str]=True  ,SCREAMING_SNAKE_CASE__      :   List[Any]=True  ,**SCREAMING_SNAKE_CASE__      :   Optional[Any]  ,):
     SCREAMING_SNAKE_CASE:Any       =       vocab_size
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       hidden_size
     SCREAMING_SNAKE_CASE:Any       =       num_attention_heads
     SCREAMING_SNAKE_CASE:List[str]       =       hidden_act
     SCREAMING_SNAKE_CASE:str       =       intermediate_size
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       hidden_dropout_prob
     SCREAMING_SNAKE_CASE:List[Any]       =       attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE:Any       =       max_position_embeddings
     SCREAMING_SNAKE_CASE:str       =       type_vocab_size
     SCREAMING_SNAKE_CASE:Dict       =       initializer_range
     SCREAMING_SNAKE_CASE:Tuple       =       layer_norm_eps
     SCREAMING_SNAKE_CASE:Optional[Any]       =       num_qa_labels
     SCREAMING_SNAKE_CASE:List[Any]       =       num_object_labels
     SCREAMING_SNAKE_CASE:Optional[int]       =       num_attr_labels
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       l_layers
     SCREAMING_SNAKE_CASE:Any       =       x_layers
     SCREAMING_SNAKE_CASE:Optional[int]       =       r_layers
     SCREAMING_SNAKE_CASE:List[Any]       =       visual_feat_dim
     SCREAMING_SNAKE_CASE:Tuple       =       visual_pos_dim
     SCREAMING_SNAKE_CASE:Optional[Any]       =       visual_loss_normalizer
     SCREAMING_SNAKE_CASE:Dict       =       task_matched
     SCREAMING_SNAKE_CASE:Any       =       task_mask_lm
     SCREAMING_SNAKE_CASE:List[Any]       =       task_obj_predict
     SCREAMING_SNAKE_CASE:Optional[int]       =       task_qa
     SCREAMING_SNAKE_CASE:Tuple       =       visual_obj_loss
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       visual_attr_loss
     SCREAMING_SNAKE_CASE:Optional[Any]       =       visual_feat_loss
     SCREAMING_SNAKE_CASE:List[str]       =       {"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
     super().__init__(**lowercase__				)







import argparse
import os
import re


_lowercase:	Optional[Any]       			=		'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
_lowercase:	Union[str, Any]       			=		re.compile(R'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
_lowercase:	Optional[Any]       			=		re.compile(R'''\s*\(\s*"(\S[^"]+)"''')






def _lowerCamelCase  (		snake_case     , snake_case = False  ):
							with open(snake_case     , 'r'     , encoding='utf-8'  ) as f:
														_lowerCAmelCase							=							f.read()

							_lowerCAmelCase							=							content.split('\n'  )
							_lowerCAmelCase							=							[]
							_lowerCAmelCase							=							0
							while line_idx < len(snake_case  ):
														if _re_intro_mapping.search(lines[line_idx]  ) is not None:
																					_lowerCAmelCase							=							len(re.search(R'^(\s*)\S'     , lines[line_idx]  ).groups()[0]  ) + 8
																					# Start of a new mapping!
																					while not lines[line_idx].startswith(' ' * indent + '('  ):
																												new_lines.append(lines[line_idx]  )
																												line_idx += 1

																					_lowerCAmelCase							=							[]
																					while lines[line_idx].strip() != "]":
																												# Blocks either fit in one line or not
																												if lines[line_idx].strip() == "(":
																																			_lowerCAmelCase							=							line_idx
																																			while not lines[line_idx].startswith(' ' * indent + ')'  ):
																																										line_idx += 1
																																			blocks.append('\n'.join(lines[start_idx : line_idx + 1]  )  )
																												else:
																																			blocks.append(lines[line_idx]  )
																												line_idx += 1

																					# Sort blocks by their identifiers
																					_lowerCAmelCase							=							sorted(snake_case     , key=lambda snake_case  : _re_identifier.search(snake_case  ).groups()[0]  )
																					new_lines += blocks
														else:
																					new_lines.append(lines[line_idx]  )
																					line_idx += 1

							if overwrite:
														with open(snake_case     , 'w'     , encoding='utf-8'  ) as f:
																					f.write('\n'.join(snake_case  )  )
							elif "\n".join(snake_case  ) != content:
														return True






def _lowerCamelCase  (		snake_case = False  ):
							_lowerCAmelCase							=							[os.path.join(snake_case     , snake_case  ) for f in os.listdir(snake_case  ) if f.endswith('.py'  )]
							_lowerCAmelCase							=							[sort_auto_mapping(snake_case     , overwrite=snake_case  ) for fname in fnames]

							if not overwrite and any(snake_case  ):
														_lowerCAmelCase							=							[f for f, d in zip(snake_case     , snake_case  ) if d]
														raise ValueError(
														    F'The following files have auto mappings that need sorting: {", ".join(snake_case  )}. Run `make style` to fix'
														    ' this.'  )


if __name__ == "__main__":
				_lowercase:	Any       			=		argparse.ArgumentParser()
				parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
				_lowercase:	Tuple       			=		parser.parse_args()

				sort_all_auto_mappings(not args.check_only)






