





"""simple docstring"""






from typing import TYPE_CHECKING

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


A 			=  {
    '''configuration_perceiver''': ['''PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PerceiverConfig''', '''PerceiverOnnxConfig'''],
    '''tokenization_perceiver''': ['''PerceiverTokenizer'''],
}

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

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				A 			=  [
				    '''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

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






"""simple docstring"""






def     __A      (			a_						:int   ,       a_						:float   ,       a_						:float)		->		float:
				return round(float(moles / volume) * nfactor)

def     __A      (			a_						:float   ,       a_						:float   ,       a_						:float)		->		float:
				return round(float((moles * 0.0_8_2_1 * temperature) / (volume)))

def     __A      (			a_						:float   ,       a_						:float   ,       a_						:float)		->		float:
				return round(float((moles * 0.0_8_2_1 * temperature) / (pressure)))

def     __A      (			a_						:float   ,       a_						:float   ,       a_						:float)		->		float:
				return round(float((pressure * volume) / (0.0_8_2_1 * moles)))


if __name__ == "__main__":
		import doctest

		doctest.testmod()