from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_torch_available,
)


UpperCAmelCase_			    =							{
    '''configuration_speecht5''': [
        '''SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP''',
        '''SpeechT5Config''',
        '''SpeechT5HifiGanConfig''',
    ],
    '''feature_extraction_speecht5''': ['''SpeechT5FeatureExtractor'''],
    '''processing_speecht5''': ['''SpeechT5Processor'''],
}

try:
  if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_			    =							['''SpeechT5Tokenizer''']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_			    =							[
      '''SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''SpeechT5ForSpeechToText''',
      '''SpeechT5ForSpeechToSpeech''',
      '''SpeechT5ForTextToSpeech''',
      '''SpeechT5Model''',
      '''SpeechT5PreTrainedModel''',
      '''SpeechT5HifiGan''',
  ]

if TYPE_CHECKING:
  from .configuration_speechta import (
      SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
      SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
      SpeechTaConfig,
      SpeechTaHifiGanConfig,
  )
  from .feature_extraction_speechta import SpeechTaFeatureExtractor
  from .processing_speechta import SpeechTaProcessor

  try:
    if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_speechta import SpeechTaTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_speechta import (
        SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
        SpeechTaForSpeechToSpeech,
        SpeechTaForSpeechToText,
        SpeechTaForTextToSpeech,
        SpeechTaHifiGan,
        SpeechTaModel,
        SpeechTaPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase_			    =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
def       lowerCAmelCase_     (		lowercase:							float		)    ->				float:







 '''simple docstring'''

 if edge <= 0 or not isinstance(lowercase  ,					lowercase		):
  raise ValueError('''Length must be a positive.'''		)
 return 3 * ((25 + 10 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)




def       lowerCAmelCase_     (		lowercase:							float		)    ->				float:







 '''simple docstring'''

 if edge <= 0 or not isinstance(lowercase  ,					lowercase		):
  raise ValueError('''Length must be a positive.'''		)
 return ((15 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
  import doctest

  doctest.testmod()