draganczukp

#include "main.h"


// Gościu nie umie nawet zapamiętać jak nazywa klasy
class Wektor{
	private:
		int x, y, z;
	public:
		Wektor(int x, int y, int z): x(x), y(y), z(z){}
		Wektor(int x): x(x), y(0), z(0){}

draganczukp

namespace Example; // Optional namespace, without it everything in this file would be global

import <stdlib> // Importing namespace
import <math.Random> // Importing specific class from namespace

class Example{ // Everything must be inside of a class, like in Java


	int n; 			// Variables that don't recieve a value immediately when declared *MUST* have a type
	arr = foo(10); 	// Automatic variable type

draganczukp

# If you come from bash you might have to change your $PATH.
# export PATH=$HOME/bin:/usr/local/bin:$PATH

###################################
# IMPORTANT: Copy from old config #
###################################
# Path to your oh-my-zsh installation.
  export ZSH="~/.oh-my-zsh"

# Set name of the theme to load --- if set to "random", it will

draganczukp

package lab2;

import java.util.Scanner;

public class Cw6 {
    public static void main(String[] args) {
        Scanner scanner = new Scanner(System.in);

        System.out.println("Podaj kwotę (max: 300 000");
        int kwota = scanner.nextInt();

draganczukp

package lab2;

import java.util.ArrayList;
import java.util.Scanner;

public class Cw4 {

    public static void main(String[] args){
        Scanner in = new Scanner(System.in);

draganczukp

#/bin/bash

# Get the first device listed by kdeconnect-cli
DEVICE=$(kdeconnect-cli --id-only -a | sed '1q')

# Which qdbus service
SERVICE="org.kde.kdeconnect"

# Path depends on device
QPATH="/modules/kdeconnect/devices/$DEVICE/share"

draganczukp

import java.util.*;

public class dfs {

	static class Node{
		int id;
		static int lastid = 0;
		{
			this.id = lastid++;
		}

draganczukp

import java.util.*;
import java.util.function.BiFunction;

public class Graphs {

	static class Node{
		public double g = 0;
		public double f = 0;
		public double h = 0;

draganczukp

const tf = require("@tensorflow/tfjs");

require('@tensorflow/tfjs-node');

const model = tf.sequential();

const inputs = [
	[0,0],
	[0,1],
	[1,0],

draganczukp

import java.text.DecimalFormat;
import java.util.Random;

public class Perceptron {
	public static void main (String[] args) {
		double[][] inputs = {
			{1, 1},
			{1, 0},
			{0, 1},
			{0, 0}