


"""simple docstring"""
from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE					:       List[Any]							   =							{"""configuration_cvt""": ["""CVT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CvtConfig"""]}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE					:       int							   =							[
			    """CVT_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """CvtForImageClassification""",
			    """CvtModel""",
			    """CvtPreTrainedModel""",
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE					:       Tuple							   =							[
			    """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

			SCREAMING_SNAKE_CASE					:       str							   =							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









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() = }""")





