






from __future__ import annotations

import math
from collections.abc import Callable




def      __A					(     _lowercase					,			_lowercase					,			_lowercase					,			_lowercase = 1_00					,			):

     '''simple docstring'''







     _A								= x_start
     _A								= fnc(_lowercase )
     _A								= 0.0

     for _ in range(_lowercase ):
          # Approximates curve as a sequence of linear lines and sums their length
          _A								= (x_end - x_start) / steps + xa
          _A								= fnc(_lowercase )
          length += math.hypot(xa - xa					,			fxa - fxa )

          # Increment step
          _A								= xa
          _A								= fxa

     return length


if __name__ == "__main__":




    def      __A					(     _lowercase ):

         '''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:')
    __A      =				10
    while i <= 100000:
        print(f'With {i} steps: {line_length(f, -10, 10, i)}')
        i *= 10











def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= [0] * len(_lowercase )
					_A								= []
					_A								= []
					_A								= 0

					for values in graph.values():
										for i in values:
															indegree[i] += 1

					for i in range(len(_lowercase ) ):
										if indegree[i] == 0:
															queue.append(_lowercase )

					while queue:
										_A								= queue.pop(0 )
										cnt += 1
										topo.append(_lowercase )
										for x in graph[vertex]:
															indegree[x] -= 1
															if indegree[x] == 0:
																				queue.append(_lowercase )

					if cnt != len(_lowercase ):
										print('''Cycle exists''' )
					else:
										print(_lowercase )


# Adjacency List of Graph
__A      =				{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}


topological_sort(graph)



