Python/project_euler/problem_074/sol2.py
Joyce bcfca67faa
[mypy] fix type annotations for all Project Euler problems (#4747)
* [mypy] fix type annotations for problem003/sol1 and problem003/sol3

* [mypy] fix type annotations for project euler problem007/sol2

* [mypy] fix type annotations for project euler problem008/sol2

* [mypy] fix type annotations for project euler problem009/sol1

* [mypy] fix type annotations for project euler problem014/sol1

* [mypy] fix type annotations for project euler problem 025/sol2

* [mypy] fix type annotations for project euler problem026/sol1.py

* [mypy] fix type annotations for project euler problem037/sol1

* [mypy] fix type annotations for project euler problem044/sol1

* [mypy] fix type annotations for project euler problem046/sol1

* [mypy] fix type annotations for project euler problem051/sol1

* [mypy] fix type annotations for project euler problem074/sol2

* [mypy] fix type annotations for project euler problem080/sol1

* [mypy] fix type annotations for project euler problem099/sol1

* [mypy] fix type annotations for project euler problem101/sol1

* [mypy] fix type annotations for project euler problem188/sol1

* [mypy] fix type annotations for project euler problem191/sol1

* [mypy] fix type annotations for project euler problem207/sol1

* [mypy] fix type annotations for project euler problem551/sol1
2021-10-12 00:33:44 +08:00

127 lines
3.5 KiB
Python

"""
Project Euler Problem 074: https://projecteuler.net/problem=74
Starting from any positive integer number
it is possible to attain another one summing the factorial of its digits.
Repeating this step, we can build chains of numbers.
It is not difficult to prove that EVERY starting number
will eventually get stuck in a loop.
The request is to find how many numbers less than one million
produce a chain with exactly 60 non repeating items.
Solution approach:
This solution simply consists in a loop that generates
the chains of non repeating items.
The generation of the chain stops before a repeating item
or if the size of the chain is greater then the desired one.
After generating each chain, the length is checked and the
counter increases.
"""
factorial_cache: dict[int, int] = {}
factorial_sum_cache: dict[int, int] = {}
def factorial(a: int) -> int:
"""Returns the factorial of the input a
>>> factorial(5)
120
>>> factorial(6)
720
>>> factorial(0)
1
"""
# The factorial function is not defined for negative numbers
if a < 0:
raise ValueError("Invalid negative input!", a)
if a in factorial_cache:
return factorial_cache[a]
# The case of 0! is handled separately
if a == 0:
factorial_cache[a] = 1
else:
# use a temporary support variable to store the computation
temporary_number = a
temporary_computation = 1
while temporary_number > 0:
temporary_computation *= temporary_number
temporary_number -= 1
factorial_cache[a] = temporary_computation
return factorial_cache[a]
def factorial_sum(a: int) -> int:
"""Function to perform the sum of the factorial
of all the digits in a
>>> factorial_sum(69)
363600
"""
if a in factorial_sum_cache:
return factorial_sum_cache[a]
# Prepare a variable to hold the computation
fact_sum = 0
""" Convert a in string to iterate on its digits
convert the digit back into an int
and add its factorial to fact_sum.
"""
for i in str(a):
fact_sum += factorial(int(i))
factorial_sum_cache[a] = fact_sum
return fact_sum
def solution(chain_length: int = 60, number_limit: int = 1000000) -> int:
"""Returns the number of numbers that produce
chains with exactly 60 non repeating elements.
>>> solution(10, 1000)
26
"""
# the counter for the chains with the exact desired length
chain_counter = 0
for i in range(1, number_limit + 1):
# The temporary list will contain the elements of the chain
chain_set = {i}
len_chain_set = 1
last_chain_element = i
# The new element of the chain
new_chain_element = factorial_sum(last_chain_element)
# Stop computing the chain when you find a repeating item
# or the length it greater then the desired one.
while new_chain_element not in chain_set and len_chain_set <= chain_length:
chain_set.add(new_chain_element)
len_chain_set += 1
last_chain_element = new_chain_element
new_chain_element = factorial_sum(last_chain_element)
# If the while exited because the chain list contains the exact amount
# of elements increase the counter
if len_chain_set == chain_length:
chain_counter += 1
return chain_counter
if __name__ == "__main__":
import doctest
doctest.testmod()
print(f"{solution()}")