

from typing import TYPE_CHECKING

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


lowercase_             =     {
    '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:
  lowercase_             =     ['SpeechT5Tokenizer']

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

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





import unittest

from knapsack import knapsack as k





class 				__lowerCAmelCase  (      unittest.TestCase							):




  def 						A__  (       self      )						->				List[str]:
        '''simple docstring'''






        _lowercase			 =0
        _lowercase			 =[0]
        _lowercase			 =[0]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     0      )

        _lowercase			 =[60]
        _lowercase			 =[10]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     0      )




  def 						A__  (       self      )						->				List[Any]:
        '''simple docstring'''






        _lowercase			 =3
        _lowercase			 =[1, 2, 3]
        _lowercase			 =[3, 2, 1]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     5      )




  def 						A__  (       self      )						->				str:
        '''simple docstring'''






        _lowercase			 =50
        _lowercase			 =[60, 100, 120]
        _lowercase			 =[10, 20, 30]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     220      )


if __name__ == "__main__":
  unittest.main()


