



import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class 	lowerCamelCase__      (							lowerCamelCase__):




		'''simple docstring'''



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      int:

						"""simple docstring"""






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

						return match



		def 		lowerCAmelCase__				(self		,__lowerCamelCase			)					->      List[str]:

						"""simple docstring"""






						with open(__lowerCamelCase		,encoding='''utf-8'''			) as input_file:
										lowerCAmelCase__					:    List[str]												=					re.compile(R'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'''		,re.DOTALL			)
										lowerCAmelCase__					:    Union[str, Any]												=					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(__lowerCamelCase			)

						lowerCAmelCase__					:    Optional[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			)					->      Tuple:

						"""simple docstring"""






						lowerCAmelCase__					:    List[str]												=					Path('''./datasets'''			)
						lowerCAmelCase__					:    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			)					->      List[str]:

						"""simple docstring"""






						lowerCAmelCase__					:    str												=					Path('''./datasets'''			)
						lowerCAmelCase__					:    Tuple												=					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."""			)






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


__snake_case    :		Any  =logging.get_logger(__name__)

__snake_case    :		Tuple  ={
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}



class 	lowerCamelCase__      (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_     ="""vit_msn"""



		def __init__(self		,__lowerCamelCase=7_68		,__lowerCamelCase=12		,__lowerCamelCase=12		,__lowerCamelCase=30_72		,__lowerCamelCase="gelu"		,__lowerCamelCase=0.0		,__lowerCamelCase=0.0		,__lowerCamelCase=0.02		,__lowerCamelCase=1e-06		,__lowerCamelCase=2_24		,__lowerCamelCase=16		,__lowerCamelCase=3		,__lowerCamelCase=True		,**__lowerCamelCase		,)					->      Any:

						"""simple docstring"""






						super().__init__(**__lowerCamelCase			)

						lowerCAmelCase__					:    List[Any]												=					hidden_size
						lowerCAmelCase__					:    str												=					num_hidden_layers
						lowerCAmelCase__					:    List[str]												=					num_attention_heads
						lowerCAmelCase__					:    Optional[int]												=					intermediate_size
						lowerCAmelCase__					:    List[Any]												=					hidden_act
						lowerCAmelCase__					:    Tuple												=					hidden_dropout_prob
						lowerCAmelCase__					:    List[Any]												=					attention_probs_dropout_prob
						lowerCAmelCase__					:    int												=					initializer_range
						lowerCAmelCase__					:    Union[str, Any]												=					layer_norm_eps
						lowerCAmelCase__					:    List[str]												=					image_size
						lowerCAmelCase__					:    str												=					patch_size
						lowerCAmelCase__					:    Optional[int]												=					num_channels
						lowerCAmelCase__					:    int												=					qkv_bias

