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Add power sum problem (#8832)
* Add powersum problem * Add doctest * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add more doctests * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add more doctests * Improve paramater name * Fix line too long * Remove global variables * Apply suggestions from code review * Apply suggestions from code review --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <[email protected]>
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Diff for: backtracking/power_sum.py

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"""
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Problem source: https://www.hackerrank.com/challenges/the-power-sum/problem
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Find the number of ways that a given integer X, can be expressed as the sum
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of the Nth powers of unique, natural numbers. For example, if X=13 and N=2.
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We have to find all combinations of unique squares adding up to 13.
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The only solution is 2^2+3^2. Constraints: 1<=X<=1000, 2<=N<=10.
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"""
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from math import pow
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def backtrack(
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needed_sum: int,
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power: int,
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current_number: int,
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current_sum: int,
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solutions_count: int,
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) -> tuple[int, int]:
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"""
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>>> backtrack(13, 2, 1, 0, 0)
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(0, 1)
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>>> backtrack(100, 2, 1, 0, 0)
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(0, 3)
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>>> backtrack(100, 3, 1, 0, 0)
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(0, 1)
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>>> backtrack(800, 2, 1, 0, 0)
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(0, 561)
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>>> backtrack(1000, 10, 1, 0, 0)
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(0, 0)
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>>> backtrack(400, 2, 1, 0, 0)
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(0, 55)
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>>> backtrack(50, 1, 1, 0, 0)
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(0, 3658)
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"""
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if current_sum == needed_sum:
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# If the sum of the powers is equal to needed_sum, then we have a solution.
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solutions_count += 1
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return current_sum, solutions_count
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i_to_n = int(pow(current_number, power))
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if current_sum + i_to_n <= needed_sum:
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# If the sum of the powers is less than needed_sum, then continue adding powers.
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current_sum += i_to_n
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current_sum, solutions_count = backtrack(
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needed_sum, power, current_number + 1, current_sum, solutions_count
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)
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current_sum -= i_to_n
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if i_to_n < needed_sum:
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# If the power of i is less than needed_sum, then try with the next power.
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current_sum, solutions_count = backtrack(
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needed_sum, power, current_number + 1, current_sum, solutions_count
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)
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return current_sum, solutions_count
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def solve(needed_sum: int, power: int) -> int:
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"""
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>>> solve(13, 2)
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1
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>>> solve(100, 2)
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3
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>>> solve(100, 3)
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1
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>>> solve(800, 2)
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561
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>>> solve(1000, 10)
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0
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>>> solve(400, 2)
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55
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>>> solve(50, 1)
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Traceback (most recent call last):
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...
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ValueError: Invalid input
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needed_sum must be between 1 and 1000, power between 2 and 10.
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>>> solve(-10, 5)
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Traceback (most recent call last):
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...
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ValueError: Invalid input
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needed_sum must be between 1 and 1000, power between 2 and 10.
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"""
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if not (1 <= needed_sum <= 1000 and 2 <= power <= 10):
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raise ValueError(
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"Invalid input\n"
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"needed_sum must be between 1 and 1000, power between 2 and 10."
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)
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return backtrack(needed_sum, power, 1, 0, 0)[1] # Return the solutions_count
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if __name__ == "__main__":
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import doctest
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doctest.testmod()

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