Parity: Parity of a number refers to whether it contains an odd or even number of 1-bits. The number has “odd parity”, if it contains odd number of 1-bits and is “even parity” if it contains even number of 1-bits.
Main idea of the below solution is – Loop while n is not 0 and in loop unset one of the set bits and invert parity.

Algorithm: getParity(n)
1. Initialize parity = 0
2. Loop while n != 0      
      a. Invert parity 
             parity = !parity
      b. Unset rightmost set bit
             n = n & (n-1)
3. return parity

Example:
 Initialize: n = 13 (1101)   parity = 0

n = 13 & 12  = 12 (1100)   parity = 1
n = 12 & 11 = 8  (1000)   parity = 0
n = 8 & 7 = 0  (0000)    parity = 1

Program:

C Programming
# include <stdio.h>
# define bool int

/* Function to get parity of number n. It returns 1
if n has odd parity, and returns 0 if n has even
parity */
bool getParity(unsigned int n)
{
bool parity = 0;
while (n)
{
parity = !parity;
n = n & (n - 1);
}
return parity;
}

/* Driver program to test getParity() */
int main()
{
unsigned int n = 7;
printf("Parity of no %d = %s", n,
(getParity(n)? "odd": "even"));

getchar();
return 0;
}

Above solution can be optimized by using lookup table. Please refer to Bit Twiddle Hacks[1st reference] for details.

Time Complexity: The time taken by above algorithm is proportional to the number of bits set. Worst case complexity is O(Logn).

Uses: Parity is used in error detection and cryptography.

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