



"""simple docstring"""







from typing import TYPE_CHECKING

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


UpperCAmelCase:  Union[str, Any]			     =				{
    """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:
		UpperCAmelCase:  Tuple			     =				[
		    """DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """DonutSwinModel""",
		    """DonutSwinPreTrainedModel""",
		]

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase:  str			     =				["""DonutFeatureExtractor"""]
		UpperCAmelCase:  Optional[int]			     =				["""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

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




def 					__lowercase						(    lowerCamelCase__       )					->int:

  '''simple docstring'''




  if not isinstance(lowerCamelCase__			,					lowerCamelCase__       ):
    raise ValueError("double_factorial() only accepts integral values"       )
  if n < 0:
    raise ValueError("double_factorial() not defined for negative values"       )
  return 1 if n <= 1 else n * double_factorial(n - 2       )


if __name__ == "__main__":
     import doctest

     doctest.testmod()

