





'''simple docstring'''







from math import factorial, radians





def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			List[Any],			SCREAMING_SNAKE_CASE__      :			Tuple = 18,			SCREAMING_SNAKE_CASE__      :			Optional[Any] = 10   ) ->	Union[str, Any]:
						UpperCAmelCase_			:      List[Any]     						=  angle_in_degrees - ((angle_in_degrees // 3_60.0) * 3_60.0)

						# Converting from degrees to radians
						UpperCAmelCase_			:      List[Any]     						=  radians(__A   )

						UpperCAmelCase_			:      Tuple     						=  angle_in_radians
						UpperCAmelCase_			:      Any     						=  3
						UpperCAmelCase_			:      Any     						=  -1

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

												UpperCAmelCase_			:      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(__A,			__A   )


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












'''simple docstring'''







snake_case_     :       int						=  {
    "Pillow": "Pillow",
    "accelerate": "accelerate>=0.11.0",
    "compel": "compel==0.1.8",
    "black": "black~=23.1",
    "datasets": "datasets",
    "filelock": "filelock",
    "flax": "flax>=0.4.1",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.13.2",
    "requests-mock": "requests-mock==1.10.0",
    "importlib_metadata": "importlib_metadata",
    "invisible-watermark": "invisible-watermark",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2",
    "jaxlib": "jaxlib>=0.1.65",
    "Jinja2": "Jinja2",
    "k-diffusion": "k-diffusion>=0.0.12",
    "torchsde": "torchsde",
    "note_seq": "note_seq",
    "librosa": "librosa",
    "numpy": "numpy",
    "omegaconf": "omegaconf",
    "parameterized": "parameterized",
    "protobuf": "protobuf>=3.20.3,<4",
    "pytest": "pytest",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "ruff": "ruff>=0.0.241",
    "safetensors": "safetensors",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "scipy": "scipy",
    "onnx": "onnx",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "tensorboard": "tensorboard",
    "torch": "torch>=1.4",
    "torchvision": "torchvision",
    "transformers": "transformers>=4.25.1",
    "urllib3": "urllib3<=2.0.0",
}





