


def 							_UpperCAmelCase				(UpperCamelCase__     :  Dict				,							UpperCamelCase__     :  Union[str, Any]						):
       _A      :       str				    = 0
       _A      :       Tuple				    = len(UpperCamelCase__						) - 1

       while left <= right:
              # avoid divided by 0 during interpolation
              if sorted_collection[left] == sorted_collection[right]:
                     if sorted_collection[left] == item:
                            return left
                     else:
                            return None

              _A      :       Dict				    = left + ((item - sorted_collection[left]) * (right - left)) // (
                  sorted_collection[right] - sorted_collection[left]
              )

              # out of range check
              if point < 0 or point >= len(UpperCamelCase__						):
                     return None

              _A      :       Union[str, Any]				    = sorted_collection[point]
              if current_item == item:
                     return point
              else:
                     if point < left:
                            _A      :       List[str]				    = left
                            _A      :       Union[str, Any]				    = point
                     elif point > right:
                            _A      :       Any				    = right
                            _A      :       Any				    = point
                     else:
                            if item < current_item:
                                   _A      :       Union[str, Any]				    = point - 1
                            else:
                                   _A      :       List[str]				    = point + 1
       return None
def 							_UpperCAmelCase				(UpperCamelCase__     :  int				,							UpperCamelCase__     :  Tuple				,							UpperCamelCase__     :  int				,							UpperCamelCase__     :  List[Any]						):

       # avoid divided by 0 during interpolation
       if sorted_collection[left] == sorted_collection[right]:
              if sorted_collection[left] == item:
                     return left
              else:
                     return None

       _A      :       List[Any]				    = left + ((item - sorted_collection[left]) * (right - left)) // (
           sorted_collection[right] - sorted_collection[left]
       )

       # out of range check
       if point < 0 or point >= len(UpperCamelCase__						):
              return None

       if sorted_collection[point] == item:
              return point
       elif point < left:
              return interpolation_search_by_recursion(UpperCamelCase__				,							UpperCamelCase__				,							UpperCamelCase__				,							UpperCamelCase__						)
       elif point > right:
              return interpolation_search_by_recursion(UpperCamelCase__				,							UpperCamelCase__				,							UpperCamelCase__				,							UpperCamelCase__						)
       else:
              if sorted_collection[point] > item:
                     return interpolation_search_by_recursion(
                         UpperCamelCase__				,							UpperCamelCase__				,							UpperCamelCase__				,							point - 1						)
              else:
                     return interpolation_search_by_recursion(
                         UpperCamelCase__				,							UpperCamelCase__				,							point + 1				,							UpperCamelCase__						)
def 							_UpperCAmelCase				(UpperCamelCase__     :  Optional[Any]						):
       if collection != sorted(UpperCamelCase__						):
              raise ValueError("Collection must be ascending sorted"						)
       return True


if __name__ == "__main__":
    import sys
    lowerCAmelCase__      		= 0
    if debug == 1:
        lowerCAmelCase__      		= [10, 30, 40, 45, 50, 66, 77, 93]
        try:
            __assert_sorted(collection)
        except ValueError:
            sys.exit('Sequence must be ascending sorted to apply interpolation search')
        lowerCAmelCase__      		= 67

    lowerCAmelCase__      		= interpolation_search(collection, target)
    if result is not None:
        print(f"{target} found at positions: {result}")
    else:
        print('Not found')




from typing import TYPE_CHECKING

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


lowerCAmelCase__      		= {
    '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:
    lowerCAmelCase__      		= ['SpeechT5Tokenizer']

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

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