


import argparse
from collections import defaultdict

def 			_a  (				SCREAMING_SNAKE_CASE	:				int    , SCREAMING_SNAKE_CASE	:				Union[str, Any]    , SCREAMING_SNAKE_CASE	:				Tuple    , SCREAMING_SNAKE_CASE	:				List[Any]    , SCREAMING_SNAKE_CASE	:				Any     ):







 """simple docstring"""



 UpperCamelCase__					:    Optional[int]          =   F"{file}_{class_name}_{test_name}"
 done_test[_id] += 1

 with open(SCREAMING_SNAKE_CASE    , '''r'''     ) as f:
  UpperCamelCase__					:    Optional[Any]          =   f.readlines()

 UpperCamelCase__					:    int          =   F"class {class_name}("
 UpperCamelCase__					:    Dict          =   F"{4 * ' '}def {test_name}("
 UpperCamelCase__					:    str          =   F"{8 * ' '}{correct_line.split()[0]}"
 UpperCamelCase__					:    str          =   F"{16 * ' '}{correct_line.split()[0]}"
 UpperCamelCase__					:    str          =   False
 UpperCamelCase__					:    Union[str, Any]          =   False
 UpperCamelCase__					:    Dict          =   False
 UpperCamelCase__					:    List[Any]          =   False
 UpperCamelCase__					:    int          =   0
 UpperCamelCase__					:    str          =   0

 UpperCamelCase__					:    List[str]          =   []
 for line in lines:
  if line.startswith(SCREAMING_SNAKE_CASE     ):
   UpperCamelCase__					:    List[str]          =   True
  elif in_class and line.startswith(SCREAMING_SNAKE_CASE     ):
   UpperCamelCase__					:    List[str]          =   True
  elif in_class and in_func and (line.startswith(SCREAMING_SNAKE_CASE     ) or line.startswith(SCREAMING_SNAKE_CASE     )):
   UpperCamelCase__					:    List[str]          =   len(line.split(correct_line.split()[0]     )[0]     )
   count += 1

   if count == done_test[_id]:
    UpperCamelCase__					:    Union[str, Any]          =   True

  if in_class and in_func and in_line:
   if ")" not in line:
    continue
   else:
    UpperCamelCase__					:    str          =   True

  if in_class and in_func and in_line and insert_line:
   new_lines.append(F"{spaces * ' '}{correct_line}"     )
   UpperCamelCase__					:    str          =   False
  else:
   new_lines.append(SCREAMING_SNAKE_CASE     )

 with open(SCREAMING_SNAKE_CASE    , '''w'''     ) as f:
  for line in new_lines:
   f.write(SCREAMING_SNAKE_CASE     )

def 			_a  (				SCREAMING_SNAKE_CASE	:				List[Any]    , SCREAMING_SNAKE_CASE	:				List[Any]=None     ):







 """simple docstring"""



 if fail is not None:
  with open(SCREAMING_SNAKE_CASE    , '''r'''     ) as f:
   UpperCamelCase__					:    List[str]          =   {l.strip() for l in f.readlines()}
 else:
  UpperCamelCase__					:    Tuple          =   None

 with open(SCREAMING_SNAKE_CASE    , '''r'''     ) as f:
  UpperCamelCase__					:    Optional[Any]          =   f.readlines()

 UpperCamelCase__					:    int          =   defaultdict(SCREAMING_SNAKE_CASE     )
 for line in correct_lines:
  UpperCamelCase__					:    Dict          =   line.split(''';'''     )
  if test_failures is None or "::".join([file, class_name, test_name]     ) in test_failures:
   overwrite_file(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )


if __name__ == "__main__":
       __UpperCamelCase       :       List[str]						       =				argparse.ArgumentParser()
       parser.add_argument("--correct_filename", help="filename of tests with expected result")
       parser.add_argument("--fail_filename", help="filename of test failures", type=str, default=None)
       __UpperCamelCase       :       Tuple						       =				parser.parse_args()

       main(args.correct_filename, args.fail_filename)






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


__UpperCamelCase       :       Optional[int]						       =				logging.get_logger(__name__)

__UpperCamelCase       :       Optional[int]						       =				{
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}

class       __magic_name__	(     __lowerCAmelCase):
     A:		Optional[Any]			=      "markuplm"


     def __init__(      self							:     List[Any]							,	lowerCamelCase__							:     Optional[int]=30522							,	lowerCamelCase__							:     Dict=768							,	lowerCamelCase__							:     List[str]=12							,	lowerCamelCase__							:     List[Any]=12							,	lowerCamelCase__							:     Optional[Any]=3072							,	lowerCamelCase__							:     int="gelu"							,	lowerCamelCase__							:     Union[str, Any]=0.1							,	lowerCamelCase__							:     Optional[int]=0.1							,	lowerCamelCase__							:     Tuple=512							,	lowerCamelCase__							:     List[str]=2							,	lowerCamelCase__							:     Union[str, Any]=0.02							,	lowerCamelCase__							:     Optional[Any]=1E-1_2							,	lowerCamelCase__							:     List[str]=0							,	lowerCamelCase__							:     Tuple=0							,	lowerCamelCase__							:     List[str]=2							,	lowerCamelCase__							:     List[Any]=256							,	lowerCamelCase__							:     List[str]=1024							,	lowerCamelCase__							:     Optional[int]=216							,	lowerCamelCase__							:     Any=1001							,	lowerCamelCase__							:     int=32							,	lowerCamelCase__							:     Tuple=50							,	lowerCamelCase__							:     str="absolute"							,	lowerCamelCase__							:     List[str]=True							,	lowerCamelCase__							:     List[Any]=None							,	**lowerCamelCase__							:     List[str]							,	)  ->      Union[str, Any]:





      '''simple docstring'''






      super().__init__(
          pad_token_id=lowerCamelCase__							,	bos_token_id=lowerCamelCase__							,	eos_token_id=lowerCamelCase__							,	**lowerCamelCase__							,	)
      UpperCamelCase__					:    Optional[int]          =   vocab_size
      UpperCamelCase__					:    List[Any]          =   hidden_size
      UpperCamelCase__					:    Any          =   num_hidden_layers
      UpperCamelCase__					:    Tuple          =   num_attention_heads
      UpperCamelCase__					:    Any          =   hidden_act
      UpperCamelCase__					:    Dict          =   intermediate_size
      UpperCamelCase__					:    Optional[Any]          =   hidden_dropout_prob
      UpperCamelCase__					:    Optional[int]          =   attention_probs_dropout_prob
      UpperCamelCase__					:    Tuple          =   max_position_embeddings
      UpperCamelCase__					:    List[str]          =   type_vocab_size
      UpperCamelCase__					:    Any          =   initializer_range
      UpperCamelCase__					:    Dict          =   layer_norm_eps
      UpperCamelCase__					:    Any          =   position_embedding_type
      UpperCamelCase__					:    Optional[Any]          =   use_cache
      UpperCamelCase__					:    int          =   classifier_dropout
      # additional properties
      UpperCamelCase__					:    int          =   max_depth
      UpperCamelCase__					:    Optional[Any]          =   max_xpath_tag_unit_embeddings
      UpperCamelCase__					:    List[Any]          =   max_xpath_subs_unit_embeddings
      UpperCamelCase__					:    List[Any]          =   tag_pad_id
      UpperCamelCase__					:    Optional[int]          =   subs_pad_id
      UpperCamelCase__					:    Optional[Any]          =   xpath_unit_hidden_size


