





from collections import namedtuple

A__:  List[Any]       					=					namedtuple('''from_to''', '''from_ to''')

A__:  List[str]       					=					{
    '''millimeter''': '''mm''',
    '''centimeter''': '''cm''',
    '''meter''': '''m''',
    '''kilometer''': '''km''',
    '''inch''': '''in''',
    '''inche''': '''in''',  # Trailing 's' has been stripped off
    '''feet''': '''ft''',
    '''foot''': '''ft''',
    '''yard''': '''yd''',
    '''mile''': '''mi''',
}

A__:  Dict       					=					{
    '''mm''': from_to(0.001, 1000),
    '''cm''': from_to(0.01, 100),
    '''m''': from_to(1, 1),
    '''km''': from_to(1000, 0.001),
    '''in''': from_to(0.0_254, 39.3_701),
    '''ft''': from_to(0.3_048, 3.28_084),
    '''yd''': from_to(0.9_144, 1.09_361),
    '''mi''': from_to(1_609.34, 0.000_621_371),
}



def 							lowerCAmelCase_				(    A_  ,A_  ,A_):
    UpperCamelCase__:					Dict												=      from_type.lower().rstrip("s")
    UpperCamelCase__:					Tuple												=      TYPE_CONVERSION.get(A_  ,A_)
    UpperCamelCase__:					int												=      to_type.lower().rstrip("s")
    UpperCamelCase__:					List[str]												=      TYPE_CONVERSION.get(A_  ,A_)
    if new_from not in METRIC_CONVERSION:
        UpperCamelCase__:					int												=      (
            F"Invalid 'from_type' value: {from_type!r}.\n"
            F"Conversion abbreviations are: {', '.join(A_)}"
        )
        raise ValueError(A_)
    if new_to not in METRIC_CONVERSION:
        UpperCamelCase__:					Tuple												=      (
            F"Invalid 'to_type' value: {to_type!r}.\n"
            F"Conversion abbreviations are: {', '.join(A_)}"
        )
        raise ValueError(A_)
    return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
   import doctest

   doctest.testmod()








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A__:  List[str]       					=					{
    '''configuration_wav2vec2_conformer''': [
        '''WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''Wav2Vec2ConformerConfig''',
    ],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A__:  int       					=					[
       '''WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''Wav2Vec2ConformerForAudioFrameClassification''',
       '''Wav2Vec2ConformerForCTC''',
       '''Wav2Vec2ConformerForPreTraining''',
       '''Wav2Vec2ConformerForSequenceClassification''',
       '''Wav2Vec2ConformerForXVector''',
       '''Wav2Vec2ConformerModel''',
       '''Wav2Vec2ConformerPreTrainedModel''',
   ]

if TYPE_CHECKING:
   from .configuration_wavaveca_conformer import (
       WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       WavaVecaConformerConfig,
   )

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_wavaveca_conformer import (
          WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          WavaVecaConformerForAudioFrameClassification,
          WavaVecaConformerForCTC,
          WavaVecaConformerForPreTraining,
          WavaVecaConformerForSequenceClassification,
          WavaVecaConformerForXVector,
          WavaVecaConformerModel,
          WavaVecaConformerPreTrainedModel,
      )

else:
   import sys

   A__:  Dict       					=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

