






'''simple docstring'''




from __future__ import annotations

import math
from collections.abc import Callable

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__ = 100     ,)->    str:



			"""simple docstring"""



			snake_case_				:					int   =       x_start
			snake_case_				:					Optional[int]   =       fnc(__magic_name__						)
			snake_case_				:					str   =       0.0

			for _ in range(__magic_name__						):
						# Approximates curve as a sequence of linear lines and sums their length
						snake_case_				:					Union[str, Any]   =       (x_end - x_start) / steps + xa
						snake_case_				:					str   =       fnc(__magic_name__						)
						length += math.hypot(xa - xa     ,fxa - fxa						)

						# Increment step
						snake_case_				:					Any   =       xa
						snake_case_				:					Optional[Any]   =       fxa

			return length


if __name__ == "__main__":

		def 	__UpperCAmelCase       ( __magic_name__						)->    Tuple:



					"""simple docstring"""



					return math.sin(10 * x						)

		print('''f(x) = sin(10 * x)''')
		print('''The length of the curve from x = -10 to x = 10 is:''')
		__lowerCamelCase   :					Tuple   							=					10
		while i <= 100000:
				print(f'''With {i} steps: {line_length(f, -10, 10, i)}''')
				i *= 10












'''simple docstring'''




import fire

from utils import calculate_rouge, save_json

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__=None     ,**__magic_name__						)->    Optional[Any]:



			"""simple docstring"""



			snake_case_				:					int   =       [x.strip() for x in open(__magic_name__						).readlines()]
			snake_case_				:					Optional[int]   =       [x.strip() for x in open(__magic_name__						).readlines()][: len(__magic_name__						)]
			snake_case_				:					List[Any]   =       calculate_rouge(__magic_name__     ,__magic_name__     ,**__magic_name__						)
			if save_path is not None:
						save_json(__magic_name__     ,__magic_name__     ,indent=__magic_name__						)
			return metrics  # these print nicely


if __name__ == "__main__":
		fire.Fire(calculate_rouge_path)




