





'''simple docstring'''

def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 9 / 5) + 32		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round(float(_lowerCamelCase ) + 2_7_3.1_5		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 9 / 5) + 4_9_1.6_7		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) - 32) * 5 / 9		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round(((float(_lowerCamelCase ) - 32) * 5 / 9) + 2_7_3.1_5		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round(float(_lowerCamelCase ) + 4_5_9.6_7		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round(float(_lowerCamelCase ) - 2_7_3.1_5		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round(((float(_lowerCamelCase ) - 2_7_3.1_5) * 9 / 5) + 32		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 9 / 5)		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) - 4_9_1.6_7) * 5 / 9		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round(float(_lowerCamelCase ) - 4_5_9.6_7		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 5 / 9)		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 1.2_5 + 2_7_3.1_5)		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 2.2_5 + 32)		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 1.2_5)		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      float		, _lowerCamelCase      :      int = 2 ):
    return round((float(_lowerCamelCase ) * 2.2_5 + 32 + 4_5_9.6_7)		, _lowerCamelCase )


if __name__ == "__main__":
  import doctest

  doctest.testmod()










'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCAmelCase							:			int				={
    "configuration_layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMOnnxConfig"],
    "tokenization_layoutlm": ["LayoutLMTokenizer"],
}

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase							:			Any				=["LayoutLMTokenizerFast"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase							:			Dict				=[
      "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "LayoutLMForMaskedLM",
      "LayoutLMForSequenceClassification",
      "LayoutLMForTokenClassification",
      "LayoutLMForQuestionAnswering",
      "LayoutLMModel",
      "LayoutLMPreTrainedModel",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase							:			str				=[
      "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFLayoutLMForMaskedLM",
      "TFLayoutLMForSequenceClassification",
      "TFLayoutLMForTokenClassification",
      "TFLayoutLMForQuestionAnswering",
      "TFLayoutLMMainLayer",
      "TFLayoutLMModel",
      "TFLayoutLMPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
  from .tokenization_layoutlm import LayoutLMTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_layoutlm_fast import LayoutLMTokenizerFast

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_layoutlm import (
        LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        LayoutLMForMaskedLM,
        LayoutLMForQuestionAnswering,
        LayoutLMForSequenceClassification,
        LayoutLMForTokenClassification,
        LayoutLMModel,
        LayoutLMPreTrainedModel,
    )
  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_layoutlm import (
        TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFLayoutLMForMaskedLM,
        TFLayoutLMForQuestionAnswering,
        TFLayoutLMForSequenceClassification,
        TFLayoutLMForTokenClassification,
        TFLayoutLMMainLayer,
        TFLayoutLMModel,
        TFLayoutLMPreTrainedModel,
    )

else:
  import sys

  __lowerCAmelCase							:			int				=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



