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Showing posts with the label programming

single line of input as a string and passing it to ArrayChallenge.

 Java code appears to be a solution to the ArrayChallenge problem, and it follows the recursive approach to check if any combination of numbers (excluding the largest number) can add up to the largest number in the array. However, there is a minor issue in your code that needs to be corrected. The ArrayChallenge method is defined to take an integer array as an argument, but in your main method, you are reading a single line of input as a string and passing it to ArrayChallenge . You should parse the input string to an integer array first. Here's the corrected version of your code: import java . util .* ; import java . io .* ; class Main {   public static boolean ArrayChallenge ( int [] arr ) {     // code goes here       int max = Integer . MIN_VALUE ;     int sum = 0 ;     for ( int num : arr ) {       if ( num > max ) {         max = num ;       }   ...

ChallengeToken and replaces every fourth character with an underscore to produce the final output.

  String Challenge Have the function StringChallenge(num) take the num parameter being passed and return the number of hours and minutes the parameter converts to (ie. if num = 63 then the output should be 1:3). Separate the number of hours and minutes with a colon. Once your function is working, take the final output string and concatenate it with your ChallengeToken, and then replace every fourth character with an underscore. Your ChallengeToken: 386emsol49 Examples Input: 126 Output: 2:6 Final Output: 2:6_86e_sol_9 Input: 45 Output: 0:45 Final Output: 0:4_386_mso_49 ---------------------------------------------------  Java code to implement the StringChallenge function as described, along with the ChallengeToken concatenation and character replacement: public class Main {     public static void main ( String [] args ) {         System . out . println ( StringChallenge ( 126 ));         System . out . println ( StringC...

CRUD SPRING REACTIVE WEBFLUX +Mongo DB

 database mongodb :  Langkah 1: Membuat database testdb MongoDB tidak memerlukan perintah eksplisit untuk membuat database. Database akan dibuat secara otomatis saat kamu pertama kali menyimpan data ke dalamnya. Namun, untuk memastikan bahwa kamu bekerja dengan database testdb , gunakan perintah: ---------------- use testdb ---------------- nama database : testdb nama tabel : movie entity :     int id ;     String plot ;     List < String > genres ;     String title ; example data : {   "_id": 1,   "plot": "A great movie plot",   "genres": [     "Action",     "Drama"   ],   "title": "My Movie",   "_class": "com.joko.springwebflux.model.Movie" } ------- {   "_id": 2,   "plot": "Junior Youth-hen Episode 8",   "genres": [     "Sport",     "Anime"   ],   "title": "Captain Tsubasa Season 2",   "_clas...

Advanced Data Visualization in Python: Seaborn for Statistical Data Visualization

 Advanced Data Visualization in Python: Seaborn for Statistical Data Visualization 1. Overview of Seaborn Seaborn is a Python data visualization library built on top of Matplotlib, designed specifically for creating attractive and informative statistical graphics. It provides a high-level interface for drawing plots that are easy to interpret and useful for exploring and understanding data. Seaborn integrates well with Pandas, allowing users to create complex visualizations with minimal code, making it a preferred choice for statistical data analysis. 2. Key Features of Seaborn Built-in Themes : Seaborn comes with several built-in themes for styling Matplotlib graphics, which enhances the aesthetics of plots without the need for extensive customization. Statistical Estimation : Seaborn has functions like sns.barplot and sns.pointplot that perform statistical estimation while plotting. For instance, it can automatically compute confidence intervals for a given dataset. Complex ...