



from typing import TYPE_CHECKING

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


UpperCAmelCase :				List[str]							={"""configuration_vilt""": ["""VILT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViltConfig"""]}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase :				int							=["""ViltFeatureExtractor"""]
	UpperCAmelCase :				Union[str, Any]							=["""ViltImageProcessor"""]
	UpperCAmelCase :				Optional[int]							=["""ViltProcessor"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase :				int							=[
	    """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

	UpperCAmelCase :				Optional[Any]							=_LazyModule(__name__, globals()["""__file__"""], _import_structure)




import math

def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   int							):
     __UpperCamelCase       				=math.log(2     ,	10							) * number
     __UpperCamelCase       				=round((log_number - int(SCREAMING_SNAKE_CASE__							))     ,	15							)

     return difference

def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   int = 67_89_10							):
     __UpperCamelCase       				=90
     __UpperCamelCase       				=0

     __UpperCamelCase       				=math.log(1.23     ,	10							)
     __UpperCamelCase       				=math.log(1.24     ,	10							)
     __UpperCamelCase       				=0

     while position < number:
          __UpperCamelCase       				=log_difference(SCREAMING_SNAKE_CASE__							)

          if difference >= upper_limit:
               power_iterator += 93

          elif difference < lower_limit:
               power_iterator += 1_96

          else:
               __UpperCamelCase       				=power_iterator
               power_iterator += 1_96
               position += 1

     return previous_power


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(f"""{solution() = }""")





