





'''simple docstring'''






import math
def      UpperCamelCase__   (	lowerCAmelCase						):





      """simple docstring"""


      _lowerCAmelCase							  =							math.log(2							,			10						) * number
      _lowerCAmelCase							  =							round((log_number - int(lowerCAmelCase						))							,			15						)

      return difference
def      UpperCamelCase__   (	lowerCAmelCase = 67_89_10						):





      """simple docstring"""


      _lowerCAmelCase							  =							90
      _lowerCAmelCase							  =							0

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

      while position < number:
            _lowerCAmelCase							  =							log_difference(lowerCAmelCase						)

            if difference >= upper_limit:
                  power_iterator += 93

            elif difference < lower_limit:
                  power_iterator += 1_96

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

      return previous_power


if __name__ == "__main__":
      import doctest

      doctest.testmod()

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













'''simple docstring'''






from typing import TYPE_CHECKING

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


A__       :     Tuple          ={
    '''configuration_oneformer''': ['''ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OneFormerConfig'''],
    '''processing_oneformer''': ['''OneFormerProcessor'''],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__       :     List[str]          =['''OneFormerImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__       :     Dict          =[
          '''ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''OneFormerForUniversalSegmentation''',
          '''OneFormerModel''',
          '''OneFormerPreTrainedModel''',
      ]

if TYPE_CHECKING:
      from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
      from .processing_oneformer import OneFormerProcessor

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_oneformer import OneFormerImageProcessor
      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_oneformer import (
                ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                OneFormerForUniversalSegmentation,
                OneFormerModel,
                OneFormerPreTrainedModel,
            )


else:
      import sys

      A__       :     Optional[Any]          =_LazyModule(__name__, globals()['''__file__'''], _import_structure)






