



"""simple docstring"""






import logging

from transformers.configuration_utils import PretrainedConfig


__snake_case							:   Dict      =    logging.getLogger(__name__)



class 			A__   (  __SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE          =	'masked_bert'

	def __init__(     self:		Any       ,			_SCREAMING_SNAKE_CASE:		List[Any]=3_0522       ,			_SCREAMING_SNAKE_CASE:		Any=768       ,			_SCREAMING_SNAKE_CASE:		Dict=12       ,			_SCREAMING_SNAKE_CASE:		Dict=12       ,			_SCREAMING_SNAKE_CASE:		List[Any]=3072       ,			_SCREAMING_SNAKE_CASE:		str="gelu"       ,			_SCREAMING_SNAKE_CASE:		int=0.1       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]=0.1       ,			_SCREAMING_SNAKE_CASE:		Dict=512       ,			_SCREAMING_SNAKE_CASE:		Any=2       ,			_SCREAMING_SNAKE_CASE:		str=0.02       ,			_SCREAMING_SNAKE_CASE:		Any=1e-12       ,			_SCREAMING_SNAKE_CASE:		List[Any]=0       ,			_SCREAMING_SNAKE_CASE:		str="topK"       ,			_SCREAMING_SNAKE_CASE:		Any="constant"       ,			_SCREAMING_SNAKE_CASE:		List[Any]=0.0       ,			**_SCREAMING_SNAKE_CASE:		Optional[Any]       ,			)				->       str:

				"""simple docstring"""

				super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE       ,			**_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase      :  Optional[int]												=       vocab_size
				__lowerCAmelCase      :  Optional[Any]												=       hidden_size
				__lowerCAmelCase      :  Any												=       num_hidden_layers
				__lowerCAmelCase      :  Optional[Any]												=       num_attention_heads
				__lowerCAmelCase      :  List[str]												=       hidden_act
				__lowerCAmelCase      :  Dict												=       intermediate_size
				__lowerCAmelCase      :  str												=       hidden_dropout_prob
				__lowerCAmelCase      :  str												=       attention_probs_dropout_prob
				__lowerCAmelCase      :  List[Any]												=       max_position_embeddings
				__lowerCAmelCase      :  str												=       type_vocab_size
				__lowerCAmelCase      :  List[str]												=       initializer_range
				__lowerCAmelCase      :  Dict												=       layer_norm_eps
				__lowerCAmelCase      :  Tuple												=       pruning_method
				__lowerCAmelCase      :  Optional[Any]												=       mask_init
				__lowerCAmelCase      :  int												=       mask_scale




"""simple docstring"""






import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class 			A__   (  __SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int]       ,			_SCREAMING_SNAKE_CASE:		str)				->       Dict:

				"""simple docstring"""

				with open(_SCREAMING_SNAKE_CASE       ,			encoding="utf-8") as input_file:
							__lowerCAmelCase      :  List[str]												=       re.compile(r"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)")
							__lowerCAmelCase      :  List[Any]												=       input_file.read()
							__lowerCAmelCase      :  Any												=       regexp.search(_SCREAMING_SNAKE_CASE)

				return match

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any]       ,			_SCREAMING_SNAKE_CASE:		str)				->       Optional[Any]:

				"""simple docstring"""

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

				__lowerCAmelCase      :  Union[str, Any]												=       [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 							_SCREAMING_SNAKE_CASE   (     self:		str)				->       List[Any]:

				"""simple docstring"""

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

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







	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Dict												=       Path("./datasets")
				__lowerCAmelCase      :  Union[str, Any]												=       list(dataset_paths.absolute().glob("**/*.py"))

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