Palindrome Pairs: Efficient Algorithm for Finding Palindromic Word Pairs

function palindromePairs(words: string[]): number[][] {\n let result = [];\n let wordsR = [];\n for(let i = 0; i < words.length; i++){\n wordsR[i] = words[i].split('').reverse().join('');\n }\n for(let i = 0; i < words.length; i++){\n for(let j = 0; j < words.length; j++){\n if(i==j) {\n continue;\n }\n let longStr = '';\n let shortStr = '';\n if(words[i].length >= words[j].length ){\n longStr = words[i];\n shortStr = wordsR[j];\n }else{\n longStr = wordsR[j];\n shortStr = words[i];\n }\n if(longStr.slice(0,shortStr.length) === shortStr &&\n verify(longStr.slice(shortStr.length))){\n result.push([i,j]);\n }\n }\n }\n return result;\n}\nfunction verify(s){\n for(let i = 0, j=s.length-1;i < j;i++,j--){\n if(s[i] !== s[j]){\n return false\n }\n }\n return true;\n}//代码1\nclass Solution {\npublic:\n vector<vector> palindromePairs(vector& words) {\n vector<vector> result;\n vector wordsR;\n for(int i = 0; i < words.size(); i++){\n string reverseWord = words[i];\n reverse(reverseWord.begin(), reverseWord.end());\n wordsR.push_back(reverseWord);\n }\n for(int i = 0; i < words.size(); i++){\n for(int j = 0; j < words.size(); j++){\n if(i == j) {\n continue;\n }\n string longStr = "";\n string shortStr = "";\n if(words[i].length() >= words[j].length() ){\n longStr = words[i];\n shortStr = wordsR[j];\n }else{\n longStr = wordsR[j];\n shortStr = words[i];\n }\n if(longStr.substr(0,shortStr.length()) == shortStr && verify(longStr.substr(shortStr.length()))){\n result.push_back({i,j});\n }\n }\n }\n return result;\n }\n bool verify(string s){\n int i = 0;\n int j = s.length()-1;\n while(i < j){\n if(s[i] != s[j]) return false;\n i++;\n j--;\n }\n return true;\n }\n};//代码2\n136个同样的样例，为什么代码2(C++)超时了而代码1(TypeScript)却没有内容：There can be several reasons why Code 2 (C++) is experiencing timeouts while Code 1 (TypeScript) is not. Here are a few possibilities:\n\n1. Efficiency of string manipulation: Code 2 uses the substr() function to check if a substring is a palindrome, while Code 1 uses array slicing. Array slicing is generally faster than substr() because it involves direct manipulation of the array, whereas substr() creates a new string. This could contribute to the difference in performance between the two implementations.\n\n2. Language-specific optimizations: TypeScript is a compiled language, while C++ is a compiled language. The TypeScript compiler may have certain optimizations in place that improve the performance of the code. Additionally, the JavaScript engine used to run TypeScript code may also have specific optimizations for certain operations.\n\n3. Differences in test cases: It's possible that the test cases used for Code 1 and Code 2 are different, and Code 2 may be encountering more complex or larger test cases that cause it to timeout. It's important to ensure that the test cases used for both implementations are identical for a fair comparison.\n\nTo determine the exact cause of the timeout, you can analyze the performance of Code 2 by profiling the code and identifying any bottlenecks or areas where optimizations can be made. This can include reducing unnecessary operations, optimizing string manipulations, or finding alternative algorithms to solve the problem more efficiently.