"""simple docstring"""







from typing import TYPE_CHECKING

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


UpperCamelCase_       :       Any							   =		{
    """configuration_flava""": [
        """FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """FlavaConfig""",
        """FlavaImageCodebookConfig""",
        """FlavaImageConfig""",
        """FlavaMultimodalConfig""",
        """FlavaTextConfig""",
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_       :       Any							   =		["""FlavaFeatureExtractor"""]
						UpperCamelCase_       :       Any							   =		["""FlavaImageProcessor"""]
						UpperCamelCase_       :       List[Any]							   =		["""FlavaProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_       :       List[Any]							   =		[
						    """FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """FlavaForPreTraining""",
						    """FlavaImageCodebook""",
						    """FlavaImageModel""",
						    """FlavaModel""",
						    """FlavaMultimodalModel""",
						    """FlavaPreTrainedModel""",
						    """FlavaTextModel""",
						]

if TYPE_CHECKING:
						from .configuration_flava import (
						    FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    FlavaConfig,
						    FlavaImageCodebookConfig,
						    FlavaImageConfig,
						    FlavaMultimodalConfig,
						    FlavaTextConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_flava import FlavaFeatureExtractor
												from .image_processing_flava import FlavaImageProcessor
												from .processing_flava import FlavaProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flava import (
												    FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    FlavaForPreTraining,
												    FlavaImageCodebook,
												    FlavaImageModel,
												    FlavaModel,
												    FlavaMultimodalModel,
												    FlavaPreTrainedModel,
												    FlavaTextModel,
												)

else:
						import sys

						UpperCamelCase_       :       List[str]							   =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


"""simple docstring"""







from itertools import combinations_with_replacement


def   a__      (		UpperCAmelCase__       :			int = 1_0_0			)->	int:
						UpperCAmelCase__						=		[*list(range(1		,			2_1			)			), 2_5]
						UpperCAmelCase__						=		[2 * x for x in range(1		,			2_1			)] + [5_0]
						UpperCAmelCase__						=		[3 * x for x in range(1		,			2_1			)]
						UpperCAmelCase__						=		singles + doubles + triples + [0]

						UpperCAmelCase__						=		0
						UpperCAmelCase__						=		42
						UpperCAmelCase__						=		42
						UpperCAmelCase__						=		42
						UpperCAmelCase__						=		42

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

						return num_checkouts


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

