






from itertools import combinations_with_replacement







def 		_UpperCamelCase      (			UpperCamelCase_				:    int = 100						)     ->      int:

						"""simple docstring"""



						lowerCAmelCase__			  =  [*list(range(1			,				21						)						), 25]
						lowerCAmelCase__			  =  [2 * x for x in range(1			,				21						)] + [50]
						lowerCAmelCase__			  =  [3 * x for x in range(1			,				21						)]
						lowerCAmelCase__			  =  singles + doubles + triples + [0]

						lowerCAmelCase__			  =  0
						lowerCAmelCase__			  =  42
						lowerCAmelCase__			  =  42
						lowerCAmelCase__			  =  42
						lowerCAmelCase__			  =  42

						for double in doubles:
												for throwa, throwa in combinations_with_replacement(UpperCamelCase_			,				2						):
																		lowerCAmelCase__			  =  double + throwa + throwa
																		if checkout_total < limit:
																								num_checkouts += 1

						return num_checkouts


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













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case			:			Optional[int]			   =   {"""configuration_sew_d""": ["""SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWDConfig"""]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__snake_case			:			List[Any]			   =   [
					    """SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """SEWDForCTC""",
					    """SEWDForSequenceClassification""",
					    """SEWDModel""",
					    """SEWDPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_sew_d import (
										    SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
										    SEWDForCTC,
										    SEWDForSequenceClassification,
										    SEWDModel,
										    SEWDPreTrainedModel,
										)


else:
					import sys

					__snake_case			:			Dict			   =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





