



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


__snake_case     :Tuple			       =logging.get_logger(__name__)

__snake_case     :str			       ={
    '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        lowerCAmelCase__					(  _lowerCamelCase       ):
				A_   :     List[Any]								=     'markuplm'


				def __init__(							self      :  Optional[Any]						, __UpperCamelCase      :  List[str]=30_522						, __UpperCamelCase      :  Tuple=768						, __UpperCamelCase      :  Union[str, Any]=12						, __UpperCamelCase      :  Any=12						, __UpperCamelCase      :  Optional[int]=3_072						, __UpperCamelCase      :  Tuple="gelu"						, __UpperCamelCase      :  Optional[int]=0.1						, __UpperCamelCase      :  Tuple=0.1						, __UpperCamelCase      :  Any=512						, __UpperCamelCase      :  int=2						, __UpperCamelCase      :  List[Any]=0.0_2						, __UpperCamelCase      :  Optional[int]=1e-12						, __UpperCamelCase      :  Tuple=0						, __UpperCamelCase      :  List[str]=0						, __UpperCamelCase      :  List[str]=2						, __UpperCamelCase      :  Optional[Any]=256						, __UpperCamelCase      :  int=1_024						, __UpperCamelCase      :  Union[str, Any]=216						, __UpperCamelCase      :  Optional[Any]=1_001						, __UpperCamelCase      :  Any=32						, __UpperCamelCase      :  Union[str, Any]=50						, __UpperCamelCase      :  Tuple="absolute"						, __UpperCamelCase      :  int=True						, __UpperCamelCase      :  List[str]=None						, **__UpperCamelCase      :  Optional[Any]						, )		->     Tuple:
											super().__init__(
											    pad_token_id=__UpperCamelCase						, bos_token_id=__UpperCamelCase						, eos_token_id=__UpperCamelCase						, **__UpperCamelCase						, )
											A      						=    vocab_size
											A      						=    hidden_size
											A      						=    num_hidden_layers
											A      						=    num_attention_heads
											A      						=    hidden_act
											A      						=    intermediate_size
											A      						=    hidden_dropout_prob
											A      						=    attention_probs_dropout_prob
											A      						=    max_position_embeddings
											A      						=    type_vocab_size
											A      						=    initializer_range
											A      						=    layer_norm_eps
											A      						=    position_embedding_type
											A      						=    use_cache
											A      						=    classifier_dropout
											# additional properties
											A      						=    max_depth
											A      						=    max_xpath_tag_unit_embeddings
											A      						=    max_xpath_subs_unit_embeddings
											A      						=    tag_pad_id
											A      						=    subs_pad_id
											A      						=    xpath_unit_hidden_size




import argparse
from collections import defaultdict






def  lowerCamelCase_	(      lowerCAmelCase__	:	List[str]			,	lowerCAmelCase__	:	List[str]			,	lowerCAmelCase__	:	Tuple			,	lowerCAmelCase__	:	Optional[int]			,	lowerCAmelCase__	:	List[str]				)       ->							Union[str, Any]:

							'''simple docstring'''






							A      						=    F'''{file}_{class_name}_{test_name}'''
							done_test[_id] += 1

							with open(lowerCAmelCase__			,	'r'				) as f:
														A      						=    f.readlines()

							A      						=    F'''class {class_name}('''
							A      						=    F'''{4 * " "}def {test_name}('''
							A      						=    F'''{8 * " "}{correct_line.split()[0]}'''
							A      						=    F'''{16 * " "}{correct_line.split()[0]}'''
							A      						=    False
							A      						=    False
							A      						=    False
							A      						=    False
							A      						=    0
							A      						=    0

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

																					if count == done_test[_id]:
																												A      						=    True

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

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

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






def  lowerCamelCase_	(      lowerCAmelCase__	:	str			,	lowerCAmelCase__	:	Tuple=None				)       ->							Union[str, Any]:

							'''simple docstring'''






							if fail is not None:
														with open(lowerCAmelCase__			,	'r'				) as f:
																					A      						=    {l.strip() for l in f.readlines()}
							else:
														A      						=    None

							with open(lowerCAmelCase__			,	'r'				) as f:
														A      						=    f.readlines()

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


if __name__ == "__main__":
				__snake_case     :List[Any]			       =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)
				__snake_case     :Optional[int]			       =parser.parse_args()

				main(args.correct_filename, args.fail_filename)