'''simple docstring'''
def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 9 / 5) + 32   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round(float(__UpperCAmelCase ) + 273.15   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 9 / 5) + 491.67   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) - 32) * 5 / 9   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round(((float(__UpperCAmelCase ) - 32) * 5 / 9) + 273.15   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round(float(__UpperCAmelCase ) + 459.67   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round(float(__UpperCAmelCase ) - 273.15   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round(((float(__UpperCAmelCase ) - 273.15) * 9 / 5) + 32   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 9 / 5)   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) - 491.67) * 5 / 9   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round(float(__UpperCAmelCase ) - 459.67   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 5 / 9)   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 1.25 + 273.15)   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 2.25 + 32)   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 1.25)   ,      __UpperCAmelCase )







def 							__UpperCamelCase   (				__UpperCAmelCase     :				float   ,      __UpperCAmelCase     :				int = 2 )       ->  float:
  return round((float(__UpperCAmelCase ) * 2.25 + 32 + 459.67)   ,      __UpperCAmelCase )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


_A		:			int	      ={'''configuration_cvt''': ['''CVT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CvtConfig''']}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _A		:			str	      =[
     '''CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''CvtForImageClassification''',
     '''CvtModel''',
     '''CvtPreTrainedModel''',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _A		:			Optional[Any]	      =[
     '''TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''TFCvtForImageClassification''',
     '''TFCvtModel''',
     '''TFCvtPreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_cvt import (
      CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
      CvtForImageClassification,
      CvtModel,
      CvtPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_cvt import (
      TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFCvtForImageClassification,
      TFCvtModel,
      TFCvtPreTrainedModel,
  )


else:
 import sys

 _A		:			Tuple	      =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)