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Added solution for Project Euler problem 74. #3125

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Added solution for Project Euler problem 74. Fixes: #2695
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fpringle committed Oct 9, 2020
commit 15e20e8effc82e413909bf882b4ae14002cb6e6f
Empty file.
107 changes: 107 additions & 0 deletions project_euler/problem_74/sol1.py
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"""
The number 145 is well known for the property that the sum of the factorial of its
digits is equal to 145:

1! + 4! + 5! = 1 + 24 + 120 = 145

Perhaps less well known is 169, in that it produces the longest chain of numbers that
link back to 169; it turns out that there are only three such loops that exist:

169 → 363601 → 1454 → 169
871 → 45361 → 871
872 → 45362 → 872

It is not difficult to prove that EVERY starting number will eventually get stuck in
a loop. For example,

69 → 363600 → 1454 → 169 → 363601 (→ 1454)
78 → 45360 → 871 → 45361 (→ 871)
540 → 145 (→ 145)

Starting with 69 produces a chain of five non-repeating terms, but the longest
non-repeating chain with a starting number below one million is sixty terms.

How many chains, with a starting number below one million, contain exactly sixty
non-repeating terms?
"""


DIGIT_FACTORIALS = {
"0": 1,
"1": 1,
"2": 2,
"3": 6,
"4": 24,
"5": 120,
"6": 720,
"7": 5040,
"8": 40320,
"9": 362880,
}

CACHE_SUM_DIGIT_FACTORIALS = {145: 145}

CHAIN_LENGTH_CACHE = {
145: 0,
169: 3,
36301: 3,
1454: 3,
871: 2,
45361: 2,
872: 2,
45361: 2,
}


def sum_digit_factorials(n: int) -> int:
"""
Return the sum of the factorial of the digits of n.
>>> sum_digit_factorials(145)
145
>>> sum_digit_factorials(45361)
871
>>> sum_digit_factorials(540)
145
"""
if n in CACHE_SUM_DIGIT_FACTORIALS:
return CACHE_SUM_DIGIT_FACTORIALS[n]
ret = sum([DIGIT_FACTORIALS[let] for let in str(n)])
CACHE_SUM_DIGIT_FACTORIALS[n] = ret
return ret


def chain_length(n: int, previous: set = None) -> int:
"""
Calculate the length of the chain of non-repeating terms starting with n.
Previous is a set containing the previous member of the chain.
>>> chain_length(10101)
11
>>> chain_length(555)
20
>>> chain_length(178924)
39
"""
previous = previous or set()
if n in CHAIN_LENGTH_CACHE:
return CHAIN_LENGTH_CACHE[n]
next_number = sum_digit_factorials(n)
if next_number in previous:
CHAIN_LENGTH_CACHE[n] = 0
return 0
else:
previous.add(n)
ret = 1 + chain_length(next_number, previous)
CHAIN_LENGTH_CACHE[n] = ret
return ret


def solution(n: int = 60) -> int:
"""
Return the number of chains with a starting number below one million which
contain exactly n non-repeating terms.
"""
return sum(1 for i in range(1, 1000000) if chain_length(i) == n)


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