std::vector<int> numbers = {1,3,4,5,7,8,9,10};// Find the first even number in the vectorautoit = std::find_if(numbers.begin(), numbers.end(), isEven);// Check if the element was foundif(it != numbers.end()) {// Calculate the index of the found element using std::dist...
When the searched element is found and have more than one instance in the searching range#include <bits/stdc++.h> using namespace std; int main() { vector<int> arr{ 1, 2, 3, 8, 4, 3 }; int searching_element = 3; vector<int>::iterator it; //starting iterator of range= arr....
strstream类同时可以支持C风格的串流的输入输出操作。和常见的iostream有点类似,可以对应理解。C++代码如下:class Solution { public: vector<vector<string>> findDuplicate(vector<string>& paths) { unordered_map<string, vector<string>> m; vector<vector<string>> res; for (string& path : paths) { istrin...
13 class Solution{public:intfindDuplicate(vector<int>&nums){unordered_set<int>cache;for(inti=0;i<nums.size();i++){if(cache.count(nums[i])){returnnums[i];}cache.insert(nums[i]);}return0;// for complier}}; O(n) time complexity but O(n) space complexity as well using Hash/Set....
(vector<int>&arr,intd) { cout<<"...Using efficeint approach with STL...\n";//O(nlogn) time complexityintclosestSum=INT_MAX; sort(arr.begin(), arr.end());intnumber1=INT_MAX, number2=INT_MAX;intn=arr.size();for(inti=0; i<n; i++) {//lower_bound & binary_search is the...
Error_2_The type or namespace name 'Vector2' could not be found (are you missing a using directive or an assembly reference?)_ Error_96_The type or namespace name 'Button' could not be found (are you missing a using directive or an assembly reference?)_ Error: An object reference is...
printVector(vec); } return0; } DownloadRun Code Output: [1, 2] [1, 3] [2, 3] We can also process the array elements from right to left. The algorithm can be implemented as follows in C++, Java, and Python: C++ Java Python ...
We hypothesize that SER performance can be improved using these concatenated utterances in model training. To verify this, three CopyPaste schemes are tested on two deep learning models: one trained independently and another using transfer learning from an x-vector model, a speaker recognition model...
indicators of any complexity. Takes a function and does all the magic for you: generates an indicator skeleton that takes inputs and parameters of any shape and type, and runs the vectorbt's indicator engine. The easiest and most flexible way to create indicators you will find in open ...
vector<vector<string>> findDuplicate(vector<string>&paths) { vector<vector<string>>res; unordered_map<string, vector<string>>m;for(stringpath : paths) { istringstreamis(path);stringpre ="", t ="";is>>pre;while(is>>t) {intidx = t.find_last_of('(');stringdir = pre +"/"+ t....