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Enable ruff ARG001 rule (#11321)
* Enable ruff ARG001 rule * Fix dynamic_programming/combination_sum_iv.py * Fix machine_learning/frequent_pattern_growth.py * Fix other/davis_putnam_logemann_loveland.py * Fix other/password.py * Fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix physics/n_body_simulation.py * Fix project_euler/problem_145/sol1.py * Fix project_euler/problem_174/sol1.py * Fix scheduling/highest_response_ratio_next.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix * Fix * Fix scheduling/job_sequencing_with_deadline.py * Fix scheduling/job_sequencing_with_deadline.py * Fix * Fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@ -22,12 +22,12 @@ of chosen elements is “tar”. For every element, we have two choices
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"""
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def combination_sum_iv(n: int, array: list[int], target: int) -> int:
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def combination_sum_iv(array: list[int], target: int) -> int:
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"""
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Function checks the all possible combinations, and returns the count
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of possible combination in exponential Time Complexity.
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>>> combination_sum_iv(3, [1,2,5], 5)
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>>> combination_sum_iv([1,2,5], 5)
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9
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"""
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@ -41,13 +41,13 @@ def combination_sum_iv(n: int, array: list[int], target: int) -> int:
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return count_of_possible_combinations(target)
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def combination_sum_iv_dp_array(n: int, array: list[int], target: int) -> int:
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def combination_sum_iv_dp_array(array: list[int], target: int) -> int:
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"""
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Function checks the all possible combinations, and returns the count
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of possible combination in O(N^2) Time Complexity as we are using Dynamic
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programming array here.
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>>> combination_sum_iv_dp_array(3, [1,2,5], 5)
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>>> combination_sum_iv_dp_array([1,2,5], 5)
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9
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"""
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@ -96,7 +96,6 @@ if __name__ == "__main__":
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import doctest
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doctest.testmod()
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n = 3
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target = 5
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array = [1, 2, 5]
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print(combination_sum_iv(n, array, target))
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print(combination_sum_iv(array, target))
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