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60f9895685
* Fixes: #3163 - Add new solution for problem 234 * Apply review suggestions
120 lines
3.2 KiB
Python
120 lines
3.2 KiB
Python
"""
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https://projecteuler.net/problem=234
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For an integer n ≥ 4, we define the lower prime square root of n, denoted by
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lps(n), as the largest prime ≤ √n and the upper prime square root of n, ups(n),
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as the smallest prime ≥ √n.
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So, for example, lps(4) = 2 = ups(4), lps(1000) = 31, ups(1000) = 37. Let us
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call an integer n ≥ 4 semidivisible, if one of lps(n) and ups(n) divides n,
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but not both.
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The sum of the semidivisible numbers not exceeding 15 is 30, the numbers are 8,
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10 and 12. 15 is not semidivisible because it is a multiple of both lps(15) = 3
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and ups(15) = 5. As a further example, the sum of the 92 semidivisible numbers
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up to 1000 is 34825.
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What is the sum of all semidivisible numbers not exceeding 999966663333 ?
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"""
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import math
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def prime_sieve(n: int) -> list:
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"""
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Sieve of Erotosthenes
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Function to return all the prime numbers up to a certain number
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https://en.wikipedia.org/wiki/Sieve_of_Eratosthenes
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>>> prime_sieve(3)
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[2]
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>>> prime_sieve(50)
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[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47]
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"""
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is_prime = [True] * n
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is_prime[0] = False
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is_prime[1] = False
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is_prime[2] = True
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for i in range(3, int(n ** 0.5 + 1), 2):
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index = i * 2
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while index < n:
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is_prime[index] = False
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index = index + i
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primes = [2]
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for i in range(3, n, 2):
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if is_prime[i]:
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primes.append(i)
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return primes
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def solution(limit: int = 999_966_663_333) -> int:
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"""
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Computes the solution to the problem up to the specified limit
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>>> solution(1000)
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34825
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>>> solution(10_000)
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1134942
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>>> solution(100_000)
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36393008
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"""
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primes_upper_bound = math.floor(math.sqrt(limit)) + 100
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primes = prime_sieve(primes_upper_bound)
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matches_sum = 0
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prime_index = 0
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last_prime = primes[prime_index]
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while (last_prime ** 2) <= limit:
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next_prime = primes[prime_index + 1]
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lower_bound = last_prime ** 2
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upper_bound = next_prime ** 2
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# Get numbers divisible by lps(current)
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current = lower_bound + last_prime
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while upper_bound > current <= limit:
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matches_sum += current
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current += last_prime
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# Reset the upper_bound
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while (upper_bound - next_prime) > limit:
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upper_bound -= next_prime
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# Add the numbers divisible by ups(current)
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current = upper_bound - next_prime
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while current > lower_bound:
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matches_sum += current
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current -= next_prime
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# Remove the numbers divisible by both ups and lps
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current = 0
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while upper_bound > current <= limit:
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if current <= lower_bound:
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# Increment the current number
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current += last_prime * next_prime
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continue
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if current > limit:
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break
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# Remove twice since it was added by both ups and lps
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matches_sum -= current * 2
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# Increment the current number
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current += last_prime * next_prime
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# Setup for next pair
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last_prime = next_prime
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prime_index += 1
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return matches_sum
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if __name__ == "__main__":
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print(solution())
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