< Summary

Information
Class: LeetCode.Algorithms.RabbitsInForest.RabbitsInForestFrequencyDictionary
Assembly: LeetCode
File(s): D:\a\LeetCode-CS\LeetCode-CS\source\LeetCode\Algorithms\RabbitsInForest\RabbitsInForestFrequencyDictionary.cs
Line coverage
100%
Covered lines: 18
Uncovered lines: 0
Coverable lines: 18
Total lines: 47
Line coverage: 100%
Branch coverage
100%
Covered branches: 6
Total branches: 6
Branch coverage: 100%
Method coverage

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Metrics

MethodBranch coverage Crap Score Cyclomatic complexity Line coverage
NumRabbits(...)100%66100%

File(s)

D:\a\LeetCode-CS\LeetCode-CS\source\LeetCode\Algorithms\RabbitsInForest\RabbitsInForestFrequencyDictionary.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.RabbitsInForest;
 13
 14/// <inheritdoc />
 15public class RabbitsInForestFrequencyDictionary : IRabbitsInForest
 16{
 17    /// <summary>
 18    ///     Time complexity - O(n)
 19    ///     Space complexity - O(n)
 20    /// </summary>
 21    /// <param name="answers"></param>
 22    /// <returns></returns>
 23    public int NumRabbits(int[] answers)
 224    {
 225        var frequencyDictionary = new Dictionary<int, int>();
 26
 1827        foreach (var answer in answers)
 628        {
 629            if (!frequencyDictionary.TryAdd(answer, 1))
 330            {
 331                frequencyDictionary[answer]++;
 332            }
 633        }
 34
 235        var rabbits = 0;
 36
 1237        foreach (var frequency in frequencyDictionary)
 338        {
 339            var groupSize = frequency.Key + 1;
 340            var groups = (frequency.Value + groupSize - 1) / groupSize;
 41
 342            rabbits += groups * groupSize;
 343        }
 44
 245        return rabbits;
 246    }
 47}

Methods/Properties

NumRabbits(System.Int32[])