


'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__lowercase     :						List[Any]	=     {
    'configuration_perceiver': ['PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'PerceiverConfig', 'PerceiverOnnxConfig'],
    'tokenization_perceiver': ['PerceiverTokenizer'],
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowercase     :						Optional[int]	=     ['PerceiverFeatureExtractor']
	__lowercase     :						Optional[int]	=     ['PerceiverImageProcessor']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowercase     :						Optional[Any]	=     [
	    'PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'PerceiverForImageClassificationConvProcessing',
	    'PerceiverForImageClassificationFourier',
	    'PerceiverForImageClassificationLearned',
	    'PerceiverForMaskedLM',
	    'PerceiverForMultimodalAutoencoding',
	    'PerceiverForOpticalFlow',
	    'PerceiverForSequenceClassification',
	    'PerceiverLayer',
	    'PerceiverModel',
	    'PerceiverPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverOnnxConfig
	from .tokenization_perceiver import PerceiverTokenizer

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_perceiver import PerceiverFeatureExtractor
		from .image_processing_perceiver import PerceiverImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_perceiver import (
		    PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    PerceiverForImageClassificationConvProcessing,
		    PerceiverForImageClassificationFourier,
		    PerceiverForImageClassificationLearned,
		    PerceiverForMaskedLM,
		    PerceiverForMultimodalAutoencoding,
		    PerceiverForOpticalFlow,
		    PerceiverForSequenceClassification,
		    PerceiverLayer,
		    PerceiverModel,
		    PerceiverPreTrainedModel,
		)

else:
	import sys

	__lowercase     :						Optional[Any]	=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







'''simple docstring'''



import os






def   lowerCamelCase							():
					with open(os.path.dirname(_SCREAMING_SNAKE_CASE       ) + '/p022_names.txt'       ) as file:
										__a      :	List[Any]    =  str(file.readlines()[0]       )
										__a      :	str    =  names.replace('"'						,				''       ).split(','       )

					names.sort()

					__a      :	Union[str, Any]    =  0
					__a      :	Tuple    =  0

					for i, name in enumerate(_SCREAMING_SNAKE_CASE       ):
										for letter in name:
															name_score += ord(_SCREAMING_SNAKE_CASE       ) - 64

										total_score += (i + 1) * name_score
										__a      :	Any    =  0
					return total_score


if __name__ == "__main__":
	print(solution())



