from collections import namedtuple

UpperCAmelCase     						=			namedtuple('''from_to''', '''from_ to''')

UpperCAmelCase     						=			{
    '''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''',
}

UpperCAmelCase     						=			{
    '''mm''': from_to(0.001, 10_00),
    '''cm''': from_to(0.01, 1_00),
    '''m''': from_to(1, 1),
    '''km''': from_to(10_00, 0.001),
    '''in''': from_to(0.0254, 39.3701),
    '''ft''': from_to(0.3048, 3.28084),
    '''yd''': from_to(0.9144, 1.09361),
    '''mi''': from_to(16_09.34, 0.000621371),
}


def SCREAMING_SNAKE_CASE			(       lowercase_:		Optional[Any]						,  lowercase_:		Dict						,  lowercase_:		Tuple			):
							_UpperCamelCase       :    int					  =					from_type.lower().rstrip('s'			)
							_UpperCamelCase       :    Union[str, Any]					  =					TYPE_CONVERSION.get(_UpperCamelCase						,  _UpperCamelCase			)
							_UpperCamelCase       :    List[str]					  =					to_type.lower().rstrip('s'			)
							_UpperCamelCase       :    List[str]					  =					TYPE_CONVERSION.get(_UpperCamelCase						,  _UpperCamelCase			)
							if new_from not in METRIC_CONVERSION:
														_UpperCamelCase       :    Any					  =					(
														    F"Invalid 'from_type' value: {from_type!r}.\n"
														    F"Conversion abbreviations are: {', '.join(_UpperCamelCase			)}"
														)
														raise ValueError(_UpperCamelCase			)
							if new_to not in METRIC_CONVERSION:
														_UpperCamelCase       :    List[str]					  =					(
														    F"Invalid 'to_type' value: {to_type!r}.\n"
														    F"Conversion abbreviations are: {', '.join(_UpperCamelCase			)}"
														)
														raise ValueError(_UpperCamelCase			)
							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_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


UpperCAmelCase     						=			{
    '''configuration_speech_to_text_2''': ['''SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Speech2Text2Config'''],
    '''processing_speech_to_text_2''': ['''Speech2Text2Processor'''],
    '''tokenization_speech_to_text_2''': ['''Speech2Text2Tokenizer'''],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase     						=			[
     '''SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''Speech2Text2ForCausalLM''',
     '''Speech2Text2PreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_speech_to_text_a import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextaConfig
 from .processing_speech_to_text_a import SpeechaTextaProcessor
 from .tokenization_speech_to_text_a import SpeechaTextaTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_speech_to_text_a import (
      SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST,
      SpeechaTextaForCausalLM,
      SpeechaTextaPreTrainedModel,
  )

else:
 import sys

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



