




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


a__		     =     logging.get_logger(__name__)

a__		     =     {
    '''weiweishi/roc-bert-base-zh''': '''https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json''',
}


class    SCREAMING_SNAKE_CASE_				(       _UpperCamelCase   ):



	"""simple docstring"""


	__magic_name__   :       List[str]      	=		'roc_bert'






	def __init__(					self		:						Optional[Any]					,     lowerCAmelCase		:						Any=30522					,     lowerCAmelCase		:						str=768					,     lowerCAmelCase		:						Dict=12					,     lowerCAmelCase		:						str=12					,     lowerCAmelCase		:						Union[str, Any]=3072					,     lowerCAmelCase		:						Optional[Any]="gelu"					,     lowerCAmelCase		:						Optional[int]=0.1					,     lowerCAmelCase		:						List[str]=0.1					,     lowerCAmelCase		:						Any=512					,     lowerCAmelCase		:						List[str]=2					,     lowerCAmelCase		:						List[str]=0.02					,     lowerCAmelCase		:						Union[str, Any]=1E-12					,     lowerCAmelCase		:						List[Any]=True					,     lowerCAmelCase		:						Tuple=0					,     lowerCAmelCase		:						int="absolute"					,     lowerCAmelCase		:						Union[str, Any]=None					,     lowerCAmelCase		:						List[str]=True					,     lowerCAmelCase		:						str=True					,     lowerCAmelCase		:						Optional[int]=768					,     lowerCAmelCase		:						Optional[int]=910					,     lowerCAmelCase		:						Union[str, Any]=512					,     lowerCAmelCase		:						Union[str, Any]=24858					,     lowerCAmelCase		:						List[str]=True					,     **lowerCAmelCase		:						int					,     )	->       List[str]:







						"""simple docstring"""







						__UpperCamelCase					:	Any             =      vocab_size
						__UpperCamelCase					:	Union[str, Any]             =      max_position_embeddings
						__UpperCamelCase					:	Tuple             =      hidden_size
						__UpperCamelCase					:	Any             =      num_hidden_layers
						__UpperCamelCase					:	Dict             =      num_attention_heads
						__UpperCamelCase					:	Optional[Any]             =      intermediate_size
						__UpperCamelCase					:	int             =      hidden_act
						__UpperCamelCase					:	Tuple             =      hidden_dropout_prob
						__UpperCamelCase					:	str             =      attention_probs_dropout_prob
						__UpperCamelCase					:	Optional[Any]             =      initializer_range
						__UpperCamelCase					:	Any             =      type_vocab_size
						__UpperCamelCase					:	List[Any]             =      layer_norm_eps
						__UpperCamelCase					:	Union[str, Any]             =      use_cache
						__UpperCamelCase					:	Tuple             =      enable_pronunciation
						__UpperCamelCase					:	Union[str, Any]             =      enable_shape
						__UpperCamelCase					:	Dict             =      pronunciation_embed_dim
						__UpperCamelCase					:	Any             =      pronunciation_vocab_size
						__UpperCamelCase					:	Any             =      shape_embed_dim
						__UpperCamelCase					:	Any             =      shape_vocab_size
						__UpperCamelCase					:	Optional[Any]             =      concat_input
						__UpperCamelCase					:	List[Any]             =      position_embedding_type
						__UpperCamelCase					:	Optional[int]             =      classifier_dropout
						super().__init__(pad_token_id=lowerCAmelCase					,     **lowerCAmelCase	)












import re
from pathlib import Path
from unittest import TestCase

import pytest


@pytest.mark.integration
class    SCREAMING_SNAKE_CASE_				(       _UpperCamelCase   ):



	"""simple docstring"""


	def 					lowerCamelCase__     (					self		:						Any					,     lowerCAmelCase		:						str	)	->       List[Any]:







						"""simple docstring"""







						with open(lowerCAmelCase					,     encoding="""utf-8"""	) as input_file:
											__UpperCamelCase					:	Union[str, Any]             =      re.compile(R"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"""	)
											__UpperCamelCase					:	str             =      input_file.read()
											__UpperCamelCase					:	Optional[int]             =      regexp.search(lowerCAmelCase	)

						return match






	def 					lowerCamelCase__     (					self		:						Optional[Any]					,     lowerCAmelCase		:						str	)	->       Union[str, Any]:







						"""simple docstring"""







						with open(lowerCAmelCase					,     encoding="""utf-8"""	) as input_file:
											__UpperCamelCase					:	Dict             =      re.compile(R"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""					,     re.DOTALL	)
											__UpperCamelCase					:	str             =      input_file.read()
											# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
											__UpperCamelCase					:	List[Any]             =      regexp.finditer(lowerCAmelCase	)

						__UpperCamelCase					:	int             =      [match for match in matches if match is not None and match.group(1	) is not None]
						return matches[0] if matches else None






	def 					lowerCamelCase__     (					self		:						List[Any]	)	->       List[str]:







						"""simple docstring"""







						__UpperCamelCase					:	Optional[int]             =      Path("""./datasets"""	)
						__UpperCamelCase					:	Optional[int]             =      list(dataset_paths.absolute().glob("""**/*.py"""	)	)

						for dataset in dataset_files:
											if self._no_encoding_on_file_open(str(lowerCAmelCase	)	):
																raise AssertionError(F'''open(...) must use utf-8 encoding in {dataset}'''	)






	def 					lowerCamelCase__     (					self		:						Optional[Any]	)	->       Any:







						"""simple docstring"""







						__UpperCamelCase					:	Optional[int]             =      Path("""./datasets"""	)
						__UpperCamelCase					:	Optional[int]             =      list(dataset_paths.absolute().glob("""**/*.py"""	)	)

						for dataset in dataset_files:
											if self._no_print_statements(str(lowerCAmelCase	)	):
																raise AssertionError(F'''print statement found in {dataset}. Use datasets.logger/logging instead.'''	)






