查找一个字符串到另一个字符串程序的排列

Find permutation of one string into other string program

尝试制作一个程序,它只检查 string s1 的排列是否存在于 string s2 中。

创建了下面的程序,它适用于下面的测试用例。

输入:

s1 = "ab"
s2 = "eidballl"

输出:

True

解释:s2包含s1的一个排列(即ba)。

但是当输入 s2="sdfdadddbd" , s1="ab", expected as, false 但是 got true.

我想弄清楚这里缺少什么。使用滑动 window 方法。在我的代码下面 c#:

   public bool CheckInclusion(string s1, string s2) {

        var intCharArray = new int[256];

        foreach(char c in s1)
        {
            intCharArray[c]++;
        }

        int start=0,end=0;
        int count=s1.Length;
        bool found=false;
        while(end<s2.Length)
        {
            if (intCharArray[s2[end]]>0) { count--;}
            intCharArray[s2[end]]--;


                Console.WriteLine("end:" + end + " start:"+ start);
                if(end-start==s1.Length) {

                    if (count==0) {return true;}
                    if (intCharArray[s2[start]]>=0)
                    {
                        count++;
                    }
                    intCharArray[s2[start]]++;
                    start++;
                }
                    end++;
            }
        return false;
        }
private static bool CheckPermutationInclusion(string s1, string s2)
{
    return Enumerable.Range(0, s2.Length - s1.Length)
                     .Select(i => s2.Substring(i, s1.Length))
                     .Any(x => x.All(y => s1.Contains(y)));
}

描述:

别忘了using System.Linq;.

你需要检查字符串

的[i, i + p.Length)任意范围内是否存在排列的所有字符
static class StringExtensions
{
    public static bool ContainsAnyPermutationOf(this string str, string p)
    {
        Dictionary<char, int> chars_count = p.CreateChar_CountDictionary();

        for (int i = 0; i <= str.Length - p.Length; i++)
        {
            string subString = str.Substring(i, p.Length);
            if (DictionaryMatch(chars_count, subString.CreateChar_CountDictionary()))
            {
                return true;
            }
        }
        return false;
    }

    private static bool DictionaryMatch(Dictionary<char, int> dictionary1, Dictionary<char, int> dictionary2)
    {
        if (dictionary1.Count != dictionary2.Count)
        {
            return false;
        }
        foreach (var kvp in dictionary1)
        {
            if (!dictionary2.ContainsKey(kvp.Key))
            {
                return false;
            }
            dictionary2[kvp.Key] = dictionary2[kvp.Key] - 1;
            if (dictionary2[kvp.Key] == 0)
            {
                dictionary2.Remove(kvp.Key);
            }
        }
        return true;
    }

    private static Dictionary<char, int> CreateChar_CountDictionary(this string str)
    {
        Dictionary<char, int> dic = new Dictionary<char, int>();
        for (int i = 0; i < str.Length; i++)
        {
            if (!dic.ContainsKey(str[i]))
            {
                dic.Add(str[i], default);
            }
            dic[str[i]] = dic[str[i]] + 1;
        }
        return dic;
    }
}

用法:

static void Main(string[] args)
    {
        Console.WriteLine("sdfdadddbd".ContainsAnyPermutationOf("ab"));
    }

我想这个问题类似于 LeetCode 567。这些是简单、高效、低复杂度的公认解决方案:

C#

class Solution {
    public bool CheckInclusion(string s1, string s2) {
        int lengthS1 = s1.Length;
        int lengthS2 = s2.Length;

        if (lengthS1 > lengthS2)
            return false;

        int[] countmap = new int[26];

        for (int i = 0; i < lengthS1; i++)
            countmap[s1[i] - 97]++;


        int[] bCount = new int[26];

        for (int i = 0; i < lengthS2; i++) {
            bCount[s2[i] - 97]++;

            if (i >= (lengthS1 - 1)) {
                if (allZero(countmap, bCount))
                    return true;

                bCount[s2[i - (lengthS1 - 1)] - 97]--;
            }
        }

        return false;
    }

    private bool allZero(int[] s1, int[] s2) {
        for (int i = 0; i < 26; i++) {
            if (s1[i] != s2[i])
                return false;
        }

        return true;
    }
}

Java

class Solution {
    public boolean checkInclusion(String s1, String s2) {
        int lengthS1 = s1.length();
        int lengthS2 = s2.length();

        if (lengthS1 > lengthS2)
            return false;

        int[] countmap = new int[26];

        for (int i = 0; i < lengthS1; i++) {
            countmap[s1.charAt(i) - 97]++;
            countmap[s2.charAt(i) - 97]--;
        }

        if (allZero(countmap))
            return true;

        for (int i = lengthS1; i < lengthS2; i++) {
            countmap[s2.charAt(i) - 97]--;
            countmap[s2.charAt(i - lengthS1) - 97]++;

            if (allZero(countmap))
                return true;
        }

        return false;
    }

    private boolean allZero(int[] count) {
        for (int i = 0; i < 26; i++)
            if (count[i] != 0)
                return false;

        return true;
    }
}

Python

class Solution:
    def checkInclusion(self, s1, s2):
        count_map_s1 = collections.Counter(s1)
        count_map_s2 = collections.Counter(s2[:len(s1)])

        for i in range(len(s1), len(s2)):
            if count_map_s1 == count_map_s2:
                return True

            count_map_s2[s2[i]] += 1
            count_map_s2[s2[i - len(s1)]] -= 1
            if count_map_s2[s2[i - len(s1)]] == 0:
                del(count_map_s2[s2[i - len(s1)]])

        return count_map_s2 == count_map_a

参考

代码在以下链接中解释:


这两个答案也很有用: