mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-28 07:21:07 +00:00
120 lines
3.1 KiB
Python
120 lines
3.1 KiB
Python
|
"""
|
||
|
Project Euler Problem 70: https://projecteuler.net/problem=70
|
||
|
|
||
|
Euler's Totient function, φ(n) [sometimes called the phi function], is used to
|
||
|
determine the number of positive numbers less than or equal to n which are
|
||
|
relatively prime to n. For example, as 1, 2, 4, 5, 7, and 8, are all less than
|
||
|
nine and relatively prime to nine, φ(9)=6.
|
||
|
|
||
|
The number 1 is considered to be relatively prime to every positive number, so
|
||
|
φ(1)=1.
|
||
|
|
||
|
Interestingly, φ(87109)=79180, and it can be seen that 87109 is a permutation
|
||
|
of 79180.
|
||
|
|
||
|
Find the value of n, 1 < n < 10^7, for which φ(n) is a permutation of n and
|
||
|
the ratio n/φ(n) produces a minimum.
|
||
|
|
||
|
-----
|
||
|
|
||
|
This is essentially brute force. Calculate all totients up to 10^7 and
|
||
|
find the minimum ratio of n/φ(n) that way. To minimize the ratio, we want
|
||
|
to minimize n and maximize φ(n) as much as possible, so we can store the
|
||
|
minimum fraction's numerator and denominator and calculate new fractions
|
||
|
with each totient to compare against. To avoid dividing by zero, I opt to
|
||
|
use cross multiplication.
|
||
|
|
||
|
References:
|
||
|
Finding totients
|
||
|
https://en.wikipedia.org/wiki/Euler's_totient_function#Euler's_product_formula
|
||
|
"""
|
||
|
from typing import List
|
||
|
|
||
|
|
||
|
def get_totients(max_one: int) -> List[int]:
|
||
|
"""
|
||
|
Calculates a list of totients from 0 to max_one exclusive, using the
|
||
|
definition of Euler's product formula.
|
||
|
|
||
|
>>> get_totients(5)
|
||
|
[0, 1, 1, 2, 2]
|
||
|
|
||
|
>>> get_totients(10)
|
||
|
[0, 1, 1, 2, 2, 4, 2, 6, 4, 6]
|
||
|
"""
|
||
|
totients = [0] * max_one
|
||
|
|
||
|
for i in range(0, max_one):
|
||
|
totients[i] = i
|
||
|
|
||
|
for i in range(2, max_one):
|
||
|
if totients[i] == i:
|
||
|
for j in range(i, max_one, i):
|
||
|
totients[j] -= totients[j] // i
|
||
|
|
||
|
return totients
|
||
|
|
||
|
|
||
|
def has_same_digits(num1: int, num2: int) -> bool:
|
||
|
"""
|
||
|
Return True if num1 and num2 have the same frequency of every digit, False
|
||
|
otherwise.
|
||
|
|
||
|
digits[] is a frequency table where the index represents the digit from
|
||
|
0-9, and the element stores the number of appearances. Increment the
|
||
|
respective index every time you see the digit in num1, and decrement if in
|
||
|
num2. At the end, if the numbers have the same digits, every index must
|
||
|
contain 0.
|
||
|
|
||
|
>>> has_same_digits(123456789, 987654321)
|
||
|
True
|
||
|
|
||
|
>>> has_same_digits(123, 12)
|
||
|
False
|
||
|
|
||
|
>>> has_same_digits(1234566, 123456)
|
||
|
False
|
||
|
"""
|
||
|
digits = [0] * 10
|
||
|
|
||
|
while num1 > 0 and num2 > 0:
|
||
|
digits[num1 % 10] += 1
|
||
|
digits[num2 % 10] -= 1
|
||
|
num1 //= 10
|
||
|
num2 //= 10
|
||
|
|
||
|
for digit in digits:
|
||
|
if digit != 0:
|
||
|
return False
|
||
|
|
||
|
return True
|
||
|
|
||
|
|
||
|
def solution(max: int = 10000000) -> int:
|
||
|
"""
|
||
|
Finds the value of n from 1 to max such that n/φ(n) produces a minimum.
|
||
|
|
||
|
>>> solution(100)
|
||
|
21
|
||
|
|
||
|
>>> solution(10000)
|
||
|
4435
|
||
|
"""
|
||
|
|
||
|
min_numerator = 1 # i
|
||
|
min_denominator = 0 # φ(i)
|
||
|
totients = get_totients(max + 1)
|
||
|
|
||
|
for i in range(2, max + 1):
|
||
|
t = totients[i]
|
||
|
|
||
|
if i * min_denominator < min_numerator * t and has_same_digits(i, t):
|
||
|
min_numerator = i
|
||
|
min_denominator = t
|
||
|
|
||
|
return min_numerator
|
||
|
|
||
|
|
||
|
if __name__ == "__main__":
|
||
|
print(f"{solution() = }")
|