random

问题 I am trying to code a program that picks 3 random lines from a text file (that contains 50 lines) and outputs them to the screen. Here is my current code: string line; int random = 0; int numOfLines = 0; ifstream File("file.txt"); srand(time(0)); random = rand() % 50; while(getline(File, line)) { ++numOfLines; if(numOfLines == random) { cout << line; } } I can get it to print one random line like it does above but not three random lines. 回答1: What you should do depends on what exactly you

问题 I am trying to code a program that picks 3 random lines from a text file (that contains 50 lines) and outputs them to the screen. Here is my current code: string line; int random = 0; int numOfLines = 0; ifstream File("file.txt"); srand(time(0)); random = rand() % 50; while(getline(File, line)) { ++numOfLines; if(numOfLines == random) { cout << line; } } I can get it to print one random line like it does above but not three random lines. 回答1: What you should do depends on what exactly you

问题 While using Apple Xcode, the C program I include below will always return a 5 for y but z will return a random number, even though they have the same expression. Can you identify a reason for this behaviour? #include <stdio.h> #include <time.h> #include <stdlib.h> int main() { int x,y,z; srand((unsigned int)time(NULL)); x = ((unsigned int)time(NULL)); y=((double)rand()/(double)(RAND_MAX)*10); z=((double)rand()/(double)(RAND_MAX)*10); printf("Time %d\n", x); printf("\n"); printf("Number y %d\n

问题 is there a way in python to generate random data based on the distribution of the alreday existing data? Here are the statistical parameters of my dataset: Data count 209.000000 mean 1.280144 std 0.374602 min 0.880000 25% 1.060000 50% 1.150000 75% 1.400000 max 4.140000 as it is no normal distribution it is not possible to do it with np.random.normal. Any Ideas? Thank you. Edit: Performing KDE: from sklearn.neighbors import KernelDensity # Gaussian KDE kde = KernelDensity(kernel='gaussian',

问题 Can someone explain why does the random_state parameter affects the model so much? I have a RandomForestClassifier model and want to set the random_state (for reproducibility pourpouses), but depending on the value I use I get very different values on my overall evaluation metric (F1 score) For example, I tried to fit the same model with 100 different random_state values and after the training ad testing the smallest F1 was 0.64516129 and the largest 0.808823529). That is a huge difference.

问题 I always hear that random numbers produced by quantum computers are considered "truly random" while random numbers generated from a classical computer are considered "pseudo-random" . If one were to generate random numbers using a quantum integer as the seed , would the numbers generated from that seed be considered "pseudo-random" or truly random ? Cannot find this clarification anywhere, any explanation welcome. import random random.seed(get_my_quantum_number()) #Some quantum integer

问题 I always hear that random numbers produced by quantum computers are considered "truly random" while random numbers generated from a classical computer are considered "pseudo-random" . If one were to generate random numbers using a quantum integer as the seed , would the numbers generated from that seed be considered "pseudo-random" or truly random ? Cannot find this clarification anywhere, any explanation welcome. import random random.seed(get_my_quantum_number()) #Some quantum integer

问题 I'm making a pygame, survive the hord type game. I have it set up to where enemy's will walk towards the player. If they hit the player, they take some of his health. if the player shoots them, they die/disappear, and the player gets a point or two. I want the enemy's to all spawn off screen within a certain distance, and then walk onto screen so that you don't start the game with enemy's 5 pixels away, or on top of you. I thought of trying to create an if statement, that only adds the enemy

问题 I'm making a pygame, survive the hord type game. I have it set up to where enemy's will walk towards the player. If they hit the player, they take some of his health. if the player shoots them, they die/disappear, and the player gets a point or two. I want the enemy's to all spawn off screen within a certain distance, and then walk onto screen so that you don't start the game with enemy's 5 pixels away, or on top of you. I thought of trying to create an if statement, that only adds the enemy

问题 We are working on a Treasure Hunt game in class as a project. Below is the code that we have so far. I need to randomize where the Treasure Buttons are. My question is: Do I need to create an array that will hold EmptyButton and TreasureButton and then call Random on it or is there a way to create a random layout within the TreasureButton class? Here is our code so far public class TreasureGame { // has-a number of tries private int numberOfTriesLeft = 50; //has-a number of hidden treasure