

from collections import namedtuple

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

_a	 =     {
    '''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	 =     {
    '''mm''': from_to(0.001, 1_0_0_0),
    '''cm''': from_to(0.01, 1_0_0),
    '''m''': from_to(1, 1),
    '''km''': from_to(1_0_0_0, 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 _a				( SCREAMING_SNAKE_CASE	:    Tuple					,      SCREAMING_SNAKE_CASE	:    str					,      SCREAMING_SNAKE_CASE	:    List[str]	)					->					float:

	"""simple docstring"""






	__lowerCAmelCase:     Optional[Any]     			=   from_type.lower().rstrip('s'	)
	__lowerCAmelCase:     Optional[Any]     			=   TYPE_CONVERSION.get(lowerCamelCase__					,      lowerCamelCase__	)
	__lowerCAmelCase:     int     			=   to_type.lower().rstrip('s'	)
	__lowerCAmelCase:     List[str]     			=   TYPE_CONVERSION.get(lowerCamelCase__					,      lowerCamelCase__	)
	if new_from not in METRIC_CONVERSION:
		__lowerCAmelCase:     str     			=   (
		    f'''Invalid \'from_type\' value: {from_type!r}.\n'''
		    f'''Conversion abbreviations are: {', '.join(lowerCamelCase__	)}'''
		)
		raise ValueError(lowerCamelCase__	)
	if new_to not in METRIC_CONVERSION:
		__lowerCAmelCase:     Any     			=   (
		    f'''Invalid \'to_type\' value: {to_type!r}.\n'''
		    f'''Conversion abbreviations are: {', '.join(lowerCamelCase__	)}'''
		)
		raise ValueError(lowerCamelCase__	)
	return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
		import doctest

		doctest.testmod()








# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

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


_a	 =     {
    '''configuration_tvlt''': ['''TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TvltConfig'''],
    '''feature_extraction_tvlt''': ['''TvltFeatureExtractor'''],
    '''processing_tvlt''': ['''TvltProcessor'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a	 =     [
      '''TVLT_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''TvltModel''',
      '''TvltForPreTraining''',
      '''TvltForAudioVisualClassification''',
      '''TvltPreTrainedModel''',
  ]

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a	 =     ['''TvltImageProcessor''']


if TYPE_CHECKING:
  from .configuration_tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig
  from .processing_tvlt import TvltProcessor
  from .feature_extraction_tvlt import TvltFeatureExtractor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tvlt import (
        TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TvltForAudioVisualClassification,
        TvltForPreTraining,
        TvltModel,
        TvltPreTrainedModel,
    )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_tvlt import TvltImageProcessor


else:
  import sys

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





