



"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase__        =				logging.get_logger(__name__)

lowerCAmelCase__        =				{
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}






class        __snake_case       (	_lowercase):
  snake_case__				:   List[Any]  			=						"roberta"




  def __init__( self     :						Union[str, Any]						,					__lowerCAmelCase     :						Optional[int]=5_0_2_6_5						,					__lowerCAmelCase     :						List[str]=7_6_8						,					__lowerCAmelCase     :						Any=1_2						,					__lowerCAmelCase     :						Optional[Any]=1_2						,					__lowerCAmelCase     :						Union[str, Any]=3_0_7_2						,					__lowerCAmelCase     :						int="gelu"						,					__lowerCAmelCase     :						Optional[int]=0.1						,					__lowerCAmelCase     :						List[str]=0.1						,					__lowerCAmelCase     :						Dict=5_1_2						,					__lowerCAmelCase     :						str=2						,					__lowerCAmelCase     :						Optional[int]=0.02						,					__lowerCAmelCase     :						List[Any]=1E-12						,					__lowerCAmelCase     :						str=1						,					__lowerCAmelCase     :						List[Any]=0						,					__lowerCAmelCase     :						str=2						,					__lowerCAmelCase     :						Tuple="absolute"						,					__lowerCAmelCase     :						Optional[int]=True						,					__lowerCAmelCase     :						Any=None						,					**__lowerCAmelCase     :						List[Any]						,					):






         """simple docstring"""






         super().__init__(pad_token_id=__lowerCAmelCase						,					bos_token_id=__lowerCAmelCase						,					eos_token_id=__lowerCAmelCase						,					**__lowerCAmelCase		)

         _lowerCamelCase						:				Dict    			= vocab_size
         _lowerCamelCase						:				List[str]    			= hidden_size
         _lowerCamelCase						:				Any    			= num_hidden_layers
         _lowerCamelCase						:				List[str]    			= num_attention_heads
         _lowerCamelCase						:				Dict    			= hidden_act
         _lowerCamelCase						:				str    			= intermediate_size
         _lowerCamelCase						:				Optional[Any]    			= hidden_dropout_prob
         _lowerCamelCase						:				Dict    			= attention_probs_dropout_prob
         _lowerCamelCase						:				Tuple    			= max_position_embeddings
         _lowerCamelCase						:				Any    			= type_vocab_size
         _lowerCamelCase						:				Optional[Any]    			= initializer_range
         _lowerCamelCase						:				Optional[Any]    			= layer_norm_eps
         _lowerCamelCase						:				int    			= position_embedding_type
         _lowerCamelCase						:				List[Any]    			= use_cache
         _lowerCamelCase						:				Any    			= classifier_dropout






class        __snake_case       (	_lowercase):




  @property
  def 						SCREAMING_SNAKE_CASE				( self     :						Tuple		):






         """simple docstring"""






         if self.task == "multiple-choice":
                _lowerCamelCase						:				List[str]    			= {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
         else:
                _lowerCamelCase						:				Optional[Any]    			= {0: '''batch''', 1: '''sequence'''}
         return OrderedDict(
             [
                 ('''input_ids''', dynamic_axis),
                 ('''attention_mask''', dynamic_axis),
             ]		)








import argparse
import os
import re


SCREAMING_SNAKE_CASE__       :      List[Any]  =   'src/transformers/models/auto'


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
SCREAMING_SNAKE_CASE__       :      Optional[int]  =   re.compile(r'[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict')
# re pattern that matches identifiers in mappings
SCREAMING_SNAKE_CASE__       :      Tuple  =   re.compile(r'\s*\(\s*"(\S[^"]+)"')

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE = False    )	-> int:
       with open(_SCREAMING_SNAKE_CASE ,"r" ,encoding="utf-8"    ) as f:
              lowerCamelCase   :      List[Any]			 =					f.read()

       lowerCamelCase   :      str			 =					content.split("\n"    )
       lowerCamelCase   :      int			 =					[]
       lowerCamelCase   :      List[Any]			 =					0
       while line_idx < len(_SCREAMING_SNAKE_CASE    ):
              if _re_intro_mapping.search(lines[line_idx]    ) is not None:
                     lowerCamelCase   :      Optional[int]			 =					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   :      Optional[int]			 =					[]
                     while lines[line_idx].strip() != "]":
                            # Blocks either fit in one line or not
                            if lines[line_idx].strip() == "(":
                                   lowerCamelCase   :      List[str]			 =					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   :      Union[str, Any]			 =					sorted(_SCREAMING_SNAKE_CASE ,key=lambda _SCREAMING_SNAKE_CASE    : _re_identifier.search(_SCREAMING_SNAKE_CASE    ).groups()[0]    )
                     new_lines += blocks
              else:
                     new_lines.append(lines[line_idx]    )
                     line_idx += 1

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

def      A      (      _SCREAMING_SNAKE_CASE = False    )	-> List[str]:
       lowerCamelCase   :      str			 =					[os.path.join(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    ) for f in os.listdir(_SCREAMING_SNAKE_CASE    ) if f.endswith(".py"    )]
       lowerCamelCase   :      Union[str, Any]			 =					[sort_auto_mapping(_SCREAMING_SNAKE_CASE ,overwrite=_SCREAMING_SNAKE_CASE    ) for fname in fnames]

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


if __name__ == "__main__":
       SCREAMING_SNAKE_CASE__       :      List[str]  =   argparse.ArgumentParser()
       parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
       SCREAMING_SNAKE_CASE__       :      List[str]  =   parser.parse_args()

       sort_all_auto_mappings(not args.check_only)






