
"""simple docstring"""


def      lowerCAmelCase_     (	snake_case_	:    Optional[Any]							,					snake_case_	:    Optional[int]    )     ->int:
			lowerCamelCase__			:  Optional[int]  =1.0
			for i in range(1							,					r + 1    ):
						ret *= (n + 1 - i) / i
			return round(snake_case_    )






def      lowerCAmelCase_     (	snake_case_	:    List[Any]    )     ->int:
			return choose(8 + n							,					snake_case_    ) + choose(9 + n							,					snake_case_    ) - 1_0






def      lowerCAmelCase_     (	snake_case_	:    Any    )     ->int:
			return sum(non_bouncy_exact(snake_case_    ) for i in range(1							,					n + 1    )    )






def      lowerCAmelCase_     (	snake_case_	:    Union[str, Any] = 1_0_0    )     ->List[str]:
			return non_bouncy_upto(snake_case_    )


if __name__ == "__main__":
							print(f"""{solution() = }""")

"""simple docstring"""


from typing import TYPE_CHECKING

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


lowerCAmelCase			=		{
    """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:
							lowerCAmelCase			=		[
							    """DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """DonutSwinModel""",
							    """DonutSwinPreTrainedModel""",
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase			=		["""DonutFeatureExtractor"""]
							lowerCAmelCase			=		["""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

							lowerCAmelCase			=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)