



"""simple docstring"""
# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.












def      __magic_name__				(							lowercase ):
   SCREAMING_SNAKE_CASE_: Tuple     			=[False] * len(lowerCAmelCase_ )
   SCREAMING_SNAKE_CASE_: Any     			=[-1] * len(lowerCAmelCase_ )

   def dfs(lowercase							,			lowercase ):
      SCREAMING_SNAKE_CASE_: Dict     			=True
      SCREAMING_SNAKE_CASE_: Any     			=c
      for u in graph[v]:
         if not visited[u]:
            dfs(lowerCAmelCase_							,			1 - c )

   for i in range(len(lowerCAmelCase_ ) ):
      if not visited[i]:
         dfs(lowerCAmelCase_							,			0 )

   for i in range(len(lowerCAmelCase_ ) ):
      for j in graph[i]:
         if color[i] == color[j]:
            return False

   return True


# Adjacency list of graph
_UpperCAmelCase     =			{0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}
print(check_bipartite_dfs(graph))








"""simple docstring"""
from math import pi





def      __magic_name__				(							lowercase							,			lowercase ):
   return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
   print(arc_length(9_0, 1_0))



