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Generate a random Binary String of length N

Given a positive integer N, the task is to generate a random binary string of length N.

Examples:



Input: N = 7
Output: 1000001

Input: N = 5
Output: 01001



Approach: The given problem can be solved by using the rand() function that generates a random number over the range [0, RAND_MAX] and with the help of the value returned by this function, any number in any range [L, R] can be generated as (rand() % (R – L + 1)) + L. Follow the steps below to solve the problem:

Below is the implementation of the above approach:




// C++ program for the above approach
 
#include <bits/stdc++.h>
using namespace std;
 
// Function to find a random
// number between 0 or 1
int findRandom()
{
    // Generate the random number
    int num = ((int)rand() % 2);
 
    // Return the generated number
    return num;
}
 
// Function to generate a random
// binary string of length N
void generateBinaryString(int N)
{
    srand(time(NULL));
 
    // Stores the empty string
    string S = "";
 
    // Iterate over the range [0, N - 1]
    for (int i = 0; i < N; i++) {
 
        // Store the random number
        int x = findRandom();
 
        // Append it to the string
        S += to_string(x);
    }
 
    // Print the resulting string
    cout << S;
}
 
// Driver Code
int main()
{
    int N = 7;
    generateBinaryString(N);
 
    return 0;
}




// Java program for the above approach
class GFG{
     
// Function to find a random
// number between 0 or 1
static int findRandom()
{
     
    // Generate the random number
    int num = (1 + (int)(Math.random() * 100)) % 2;
 
    // Return the generated number
    return num;
}
 
// Function to generate a random
// binary string of length N
static void generateBinaryString(int N)
{
     
    // Stores the empty string
    String S = "";
 
    // Iterate over the range [0, N - 1]
    for(int i = 0; i < N; i++)
    {
         
        // Store the random number
        int x = findRandom();
 
        // Append it to the string
        S = S + String.valueOf(x);
    }
 
    // Print the resulting string
    System.out.println(S);
}
 
// Driver Code
public static void main (String[] args)
{
    int N = 7;
     
    generateBinaryString(N);
}
}
 
// This code is contributed by AnkThon




# Python3 program for the above approach
import random
 
# Function to find a random
# number between 0 or 1
def findRandom():
     
    # Generate the random number
    num = random.randint(0, 1)
 
    # Return the generated number
    return num
 
# Function to generate a random
# binary string of length N
def generateBinaryString(N):
     
    # Stores the empty string
    S = ""
 
    # Iterate over the range [0, N - 1]
    for i in range(N):
         
        # Store the random number
        x = findRandom()
 
        # Append it to the string
        S += str(x)
     
    # Print the resulting string
    print(S)
 
# Driver Code
N = 7
 
generateBinaryString(N)
 
# This code is contributed by sanjoy_62




// C# program for the above approach
using System;
using System.Collections.Generic;
using System.Linq;
 
public class GFG {
     
// Function to find a random
// number between 0 or 1
static int findRandom()
{
   
    // For random generator
    Random rand = new Random();
     
    // Generate the random number
    int num =  rand.Next() % 2;
  
    // Return the generated number
    return num;
}
  
// Function to generate a random
// binary string of length N
static void generateBinaryString(int N)
{
      
    // Stores the empty string
    string S = "";
  
    // Iterate over the range [0, N - 1]
    for(int i = 0; i < N; i++)
    {
          
        // Store the random number
        int x = findRandom();
  
        // Append it to the string
        S = S + x.ToString();
    }
  
    // Print the resulting string
    Console.WriteLine(S);
}
 
 
// Driver Code
public static void Main (string[] args)
{
     
    int N = 7;
    generateBinaryString(N);
}
}
 
// This code is contributed by code_hunt.




<script>
 
     // Javascript program for the above approach
 
     // Function to find a random
     // number between 0 or 1
     function findRandom() {
         // Generate the random number
         let num =
         (1 + parseInt((Math.random() * 100))) % 2;
 
         // Return the generated number
         return num;
     }
 
     // Function to generate a random
     // binary string of length N
     function generateBinaryString(N) {
 
         // Stores the empty string
         let S = "";
 
         // Iterate over the range [0, N - 1]
         for (let i = 0; i < N; i++) {
 
             // Store the random number
             let x = findRandom();
 
             // Append it to the string
             S += (x).toString();
         }
 
         // Print the resulting string
         document.write(S)
     }
 
     // Driver Code
     let N = 7;
     generateBinaryString(N);
 
     // This code is contributed by Hritik
      
 </script>

Output: 
0101101

 

Time Complexity: O(N) In the above-given approach, there is one loop for iterating over string which takes O(N) time in worst case. Therefore, the time complexity for this approach will be O(N).
Auxiliary Space: O(N)// an extra variable store all the characters of the string and in worst case all characters will be unique hence algorithm takes up linear space


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