



def    __SCREAMING_SNAKE_CASE		( lowerCamelCase_:       List[Any]    ,		lowerCamelCase_:       Dict   ):
						"""simple docstring"""






						if n < 0:
												return 0
						# table[i] represents the number of ways to get to amount i
						snake_case      : List[Any]							=   [0] * (n + 1)

						# There is exactly 1 way to get to zero(You pick no coins).
						snake_case      : List[str]							=   1

						# Pick all coins one by one and update table[] values
						# after the index greater than or equal to the value of the
						# picked coin
						for coin_val in s:
												for j in range(lowerCamelCase_    ,		n + 1   ):
																		table[j] += table[j - coin_val]

						return table[n]


if __name__ == "__main__":
			import doctest

			doctest.testmod()








"""simple docstring"""







from typing import TYPE_CHECKING

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


A    =	{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			A    =	[
			    'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'MobileViTV2ForImageClassification',
			    'MobileViTV2ForSemanticSegmentation',
			    'MobileViTV2Model',
			    'MobileViTV2PreTrainedModel',
			]

if TYPE_CHECKING:
			from .configuration_mobilevitva import (
			    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    MobileViTVaConfig,
			    MobileViTVaOnnxConfig,
			)

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mobilevitva import (
						    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
						    MobileViTVaForImageClassification,
						    MobileViTVaForSemanticSegmentation,
						    MobileViTVaModel,
						    MobileViTVaPreTrainedModel,
						)

else:
			import sys

			A    =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



