




from __future__ import annotations

from fractions import Fraction







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       bool:



       """simple docstring"""

       return (
           num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
       )







def SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       list[str]:



       """simple docstring"""

       A__       =    []
       A__       =    11
       A__       =    int('''1''' + '''0''' * digit_len						)
       for num in range(lowercase_ ,				lowercase_						):
              while den <= 99:
                     if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
                            if is_digit_cancelling(lowercase_ ,				lowercase_						):
                                   solutions.append(f"""{num}/{den}"""						)
                     den += 1
              num += 1
              A__       =    10
       return solutions







def SCREAMING_SNAKE_CASE				(       lowercase_ = 2						)   ->       int:



       """simple docstring"""

       A__       =    1.0
       for fraction in fraction_list(lowercase_						):
              A__       =    Fraction(lowercase_						)
              result *= frac.denominator / frac.numerator
       return int(lowercase_						)


if __name__ == "__main__":
  print(solution())









"""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 					A__				(			UpperCamelCase       ):
							A		=  [False] * len(UpperCamelCase       )
							A		=  [-1] * len(UpperCamelCase       )

							def dfs(UpperCamelCase					,  UpperCamelCase       ):
														A		=  True
														A		=  c
														for u in graph[v]:
																					if not visited[u]:
																												dfs(UpperCamelCase					,  1 - c       )

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

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

							return True


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


