code: 
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  lowercase_								=    {'configuration_vilt': ['VILT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViltConfig']}
  
  try:
  		if not is_vision_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    ['ViltFeatureExtractor']
  		lowercase_								=    ['ViltImageProcessor']
  		lowercase_								=    ['ViltProcessor']
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    [
  		    'VILT_PRETRAINED_MODEL_ARCHIVE_LIST',
  		    'ViltForImageAndTextRetrieval',
  		    'ViltForImagesAndTextClassification',
  		    'ViltForTokenClassification',
  		    'ViltForMaskedLM',
  		    'ViltForQuestionAnswering',
  		    'ViltLayer',
  		    'ViltModel',
  		    'ViltPreTrainedModel',
  		]
  
  
  if TYPE_CHECKING:
  		from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig
  
  		try:
  				if not is_vision_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .feature_extraction_vilt import ViltFeatureExtractor
  				from .image_processing_vilt import ViltImageProcessor
  				from .processing_vilt import ViltProcessor
  
  		try:
  				if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_vilt import (
  				    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
  				    ViltForImageAndTextRetrieval,
  				    ViltForImagesAndTextClassification,
  				    ViltForMaskedLM,
  				    ViltForQuestionAnswering,
  				    ViltForTokenClassification,
  				    ViltLayer,
  				    ViltModel,
  				    ViltPreTrainedModel,
  				)
  
  
  else:
  		import sys
  
  		lowercase_								=    _LazyModule(__name__, globals()['__file__'], _import_structure)
  
  
  
style_context: 
  
  
  import math
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  float:
  						_a     =			math.log(2							,     10				) * number
  						_a     =			round((log_number - int(_UpperCAmelCase				))							,     15				)
  
  						return difference
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase = 678910				)    ->  int:
  						_a     =			90
  						_a     =			0
  
  						_a     =			math.log(1.23							,     10				)
  						_a     =			math.log(1.24							,     10				)
  						_a     =			0
  
  						while position < number:
  												_a     =			log_difference(_UpperCAmelCase				)
  
  												if difference >= upper_limit:
  																		power_iterator += 93
  
  												elif difference < lower_limit:
  																		power_iterator += 196
  
  												else:
  																		_a     =			power_iterator
  																		power_iterator += 196
  																		position += 1
  
  						return previous_power
  
  
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  
  		print(f"""{solution() = }""")
  
  
  