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  1. Prepare
  2. Python
  3. Python Functionals
  4. Reduce Function
  5. Discussions

Reduce Function

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202 Discussions

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  • wazirzoh1
     + 0 comments

    from math import gcd

    def simplify(nomerator, demirator): common_diviser = gcd(nomerator, demirator) return nomerator // common_diviser, demirator // common_diviser

    def product_of_relations(relations): nomerator = 1 demirator = 1 for num, den in relations: nomerator *= num demirator *= den

    return simplify(nomerator, demirator)

    n = int(input()) relations = [tuple(map(int, input().split())) for _ in range(n)] result_nomerator, result_denominator = product_of_relations(relations) print(result_nomerator, result_denominator)

  • rejin_gunasekar1
     + 0 comments
    from fractions import Fraction
from functools import reduce
def product(fracs):
    t = reduce(lambda x, y: x*y, fracs)
    return t.numerator, t.denominator
if __name__ == '__main__':
    fracs = []
    for _ in range(int(input())):
        fracs.append(Fraction(*map(int, input().split())))
    result = product(fracs)
    print(*result)

  • phanduy270104
     + 0 comments
    from fractions import Fraction
from functools import reduce
from operator import mul

def product(fracs):
    t = reduce(mul, fracs)
    return t.numerator, t.denominator

if __name__ == '__main__':
    fracs = []
    for _ in range(int(input())):
        fracs.append(Fraction(*map(int, input().split())))
    result = product(fracs)
    print(*result)

  • vbthani
     + 0 comments
    from fractions import Fraction
from functools import reduce

def product(fracs):
    t = reduce(lambda x, y: x*y, fracs)  # complete this line with a reduce statement
    return t.numerator, t.denominator

if __name__ == '__main__':
    fracs = []
    for _ in range(int(input())):
        fracs.append(Fraction(*map(int, input().split())))
    result = product(fracs)
    print(*result)

  • illogicalsleepi1
     + 0 comments
    def product(fracs):
    t = reduce(lambda x, y : x * y, fracs)
    return t.numerator, t.denominator