< Summary

Information
Class: LeetCode.Algorithms.MinCostClimbingStairs.MinCostClimbingStairsDynamicProgramming
Assembly: LeetCode
File(s): D:\a\LeetCode-CS\LeetCode-CS\source\LeetCode\Algorithms\MinCostClimbingStairs\MinCostClimbingStairsDynamicProgramming.cs
Line coverage
100%
Covered lines: 13
Uncovered lines: 0
Coverable lines: 13
Total lines: 42
Line coverage: 100%
Branch coverage
100%
Covered branches: 4
Total branches: 4
Branch coverage: 100%
Method coverage

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Metrics

MethodBranch coverage Crap Score Cyclomatic complexity Line coverage
MinCostClimbingStairs(...)100%44100%

File(s)

D:\a\LeetCode-CS\LeetCode-CS\source\LeetCode\Algorithms\MinCostClimbingStairs\MinCostClimbingStairsDynamicProgramming.cs

#LineLine coverage
 1// --------------------------------------------------------------------------------
 2// Copyright (C) 2025 Eugene Eremeev (also known as Yevhenii Yeriemeieiv).
 3// All Rights Reserved.
 4// --------------------------------------------------------------------------------
 5// This software is the confidential and proprietary information of Eugene Eremeev
 6// (also known as Yevhenii Yeriemeieiv) ("Confidential Information"). You shall not
 7// disclose such Confidential Information and shall use it only in accordance with
 8// the terms of the license agreement you entered into with Eugene Eremeev (also
 9// known as Yevhenii Yeriemeieiv).
 10// --------------------------------------------------------------------------------
 11
 12namespace LeetCode.Algorithms.MinCostClimbingStairs;
 13
 14/// <inheritdoc />
 15public class MinCostClimbingStairsDynamicProgramming : IMinCostClimbingStairs
 16{
 17    /// <summary>
 18    ///     Time complexity - O(n)
 19    ///     Space complexity - O(n)
 20    /// </summary>
 21    /// <param name="cost"></param>
 22    /// <returns></returns>
 23    public int MinCostClimbingStairs(int[] cost)
 624    {
 625        if (cost.Length == 0)
 126        {
 127            return 0;
 28        }
 29
 530        var costs = new int[cost.Length + 1];
 31
 532        costs[0] = 0;
 533        costs[1] = 0;
 34
 5035        for (var i = 2; i <= cost.Length; i++)
 2036        {
 2037            costs[i] = Math.Min(costs[i - 2] + cost[i - 2], costs[i - 1] + cost[i - 1]);
 2038        }
 39
 540        return costs[cost.Length];
 641    }
 42}