from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__           =				{
    'configuration_wav2vec2_conformer': [
        'WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Wav2Vec2ConformerConfig',
    ],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase__           =				[
		    'WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'Wav2Vec2ConformerForAudioFrameClassification',
		    'Wav2Vec2ConformerForCTC',
		    'Wav2Vec2ConformerForPreTraining',
		    'Wav2Vec2ConformerForSequenceClassification',
		    'Wav2Vec2ConformerForXVector',
		    'Wav2Vec2ConformerModel',
		    'Wav2Vec2ConformerPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_wavaveca_conformer import (
		    WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    WavaVecaConformerConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_wavaveca_conformer import (
				    WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    WavaVecaConformerForAudioFrameClassification,
				    WavaVecaConformerForCTC,
				    WavaVecaConformerForPreTraining,
				    WavaVecaConformerForSequenceClassification,
				    WavaVecaConformerForXVector,
				    WavaVecaConformerModel,
				    WavaVecaConformerPreTrainedModel,
				)

else:
		import sys

		lowerCamelCase__           =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






import os
from string import ascii_letters

lowerCamelCase__           =				ascii_letters + ' \t\n'



def 							_lowerCamelCase(				)  ->   dict[str, None]:
		__snake_case		       =     os.path.split(os.path.realpath(__snake_case	)	)
		__snake_case		       =     {}
		with open(path[0] + "/dictionary.txt"	) as dictionary_file:
				for word in dictionary_file.read().split("\n"	):
						__snake_case		       =     None
		return english_words


lowerCamelCase__           =				load_dictionary()



def 							_lowerCamelCase(				__snake_case	)  ->   float:
		__snake_case		       =     message.upper()
		__snake_case		       =     remove_non_letters(__snake_case	)
		__snake_case		       =     message.split()
		__snake_case		       =     len([word for word in possible_words if word in ENGLISH_WORDS]	)
		return float(__snake_case	) / len(__snake_case	)



def 							_lowerCamelCase(				__snake_case	)  ->   str:
		return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE	)



def 							_lowerCamelCase(				__snake_case						,						__snake_case = 20						,						__snake_case = 85	)  ->   bool:
		__snake_case		       =     get_english_count(__snake_case	) * 100 >= word_percentage
		__snake_case		       =     len(remove_non_letters(__snake_case	)	)
		__snake_case		       =     (float(__snake_case	) / len(__snake_case	)) * 100
		__snake_case		       =     message_letters_percentage >= letter_percentage
		return words_match and letters_match


if __name__ == "__main__":
		import doctest

		doctest.testmod()





