





from math import factorial, radians







def    A				(							UpperCAmelCase  ,  UpperCAmelCase = 18  ,  UpperCAmelCase = 10				):
					_snake_case       :					List[str]				       =   angle_in_degrees - ((angle_in_degrees // 3_6_0.0) * 3_6_0.0)

					# Converting from degrees to radians
					_snake_case       :					Dict				       =   radians(UpperCAmelCase				)

					_snake_case       :					Optional[Any]				       =   angle_in_radians
					_snake_case       :					Dict				       =   3
					_snake_case       :					Optional[int]				       =   -1

					for _ in range(UpperCAmelCase				):
										result += (b * (angle_in_radians**a)) / factorial(UpperCAmelCase				)

										_snake_case       :					List[Any]				       =   -b  # One positive term and the next will be negative and so on...
										a += 2  # Increased by 2 for every term.

					return round(UpperCAmelCase  ,  UpperCAmelCase				)


if __name__ == "__main__":
							__import__('doctest').testmod()






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase :str     =    {
    'configuration_nllb_moe': [
        'NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'NllbMoeConfig',
    ]
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase :Optional[int]     =    [
							    'NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'NllbMoeForConditionalGeneration',
							    'NllbMoeModel',
							    'NllbMoePreTrainedModel',
							    'NllbMoeTop2Router',
							    'NllbMoeSparseMLP',
							]


if TYPE_CHECKING:
							from .configuration_nllb_moe import (
							    NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    NllbMoeConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_nllb_moe import (
														    NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    NllbMoeForConditionalGeneration,
														    NllbMoeModel,
														    NllbMoePreTrainedModel,
														    NllbMoeSparseMLP,
														    NllbMoeTopaRouter,
														)


else:
							import sys

							__lowerCAmelCase :int     =    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)