


from __future__ import annotations

_SCREAMING_SNAKE_CASE :					Any			=	"""Alexander Joslin"""







def 						_lowercase       (     __lowerCamelCase			:					int			)  ->   int:





     '''simple docstring'''





     if number <= 0:
          UpperCamelCase__							:  Any								=     F'n must be greater than 0. Got n = {number}'
          raise ValueError(__lowerCamelCase			)

     UpperCamelCase__							:  int								=     [number + 1] * (number + 1)

     # starting position
     UpperCamelCase__							:  List[str]								=     0
     for i in range(1		,__lowerCamelCase			):
          UpperCamelCase__							:  List[str]								=     min(table[i + 1]		,table[i] + 1			)
          # check if out of bounds
          if i * 2 <= number:
               UpperCamelCase__							:  int								=     min(table[i * 2]		,table[i] + 1			)
          # check if out of bounds
          if i * 3 <= number:
               UpperCamelCase__							:  str								=     min(table[i * 3]		,table[i] + 1			)
     return table[number]


if __name__ == "__main__":
   import doctest

   doctest.testmod()








from typing import TYPE_CHECKING

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


_SCREAMING_SNAKE_CASE :					str			=	{
    """configuration_donut_swin""": ["""DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DonutSwinConfig"""],
    """processing_donut""": ["""DonutProcessor"""],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _SCREAMING_SNAKE_CASE :					List[Any]			=	[
       """DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """DonutSwinModel""",
       """DonutSwinPreTrainedModel""",
   ]

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _SCREAMING_SNAKE_CASE :					List[Any]			=	["""DonutFeatureExtractor"""]
   _SCREAMING_SNAKE_CASE :					Tuple			=	["""DonutImageProcessor"""]


if TYPE_CHECKING:
   from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
   from .processing_donut import DonutProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_donut_swin import (
          DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
          DonutSwinModel,
          DonutSwinPreTrainedModel,
      )

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_donut import DonutFeatureExtractor
      from .image_processing_donut import DonutImageProcessor

else:
   import sys

   _SCREAMING_SNAKE_CASE :					Optional[Any]			=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




