There was a question asked:
"Presented with the integer n, find the 0-based position of the second rightmost zero bit in its binary representation (it is guaranteed that such a bit exists), counting from right to left.
Return the value of 2position_of_the_found_bit."
I had written below solution which works fine.
int secondRightmostZeroBit(int n) {
return (int)Math.pow(2,Integer.toBinaryString(n).length()-1-Integer.toBinaryString(n).lastIndexOf('0',Integer.toBinaryString(n).lastIndexOf('0')-1)) ;
}
But below was the best voted solution which I also liked as it has just few characters of codding and serving the purpose, but I could not understand it. Can someone explain how bit manipulation is helping to achieve it .
int secondRightmostZeroBit(int n) {
return ~(n|(n+1)) & ((n|(n+1))+1) ;
}
Bit manipulation, in some cases, can obviate or reduce the need to loop over a data structure and can give many-fold speed-ups, as bit manipulations are processed in parallel, but the code can become more difficult to write and maintain.
This can be solved based on the following fact: If a number N is a power of 2, then the bitwise AND of N and N-1 will be 0. But this will not work if N is 0. So just check these two conditions, if any of these two conditions is true.
A bitwise operation operates on two-bit patterns of equal lengths by positionally matching their individual bits. For example, a logical AND (&) of each bit pair results in a 1 if both the first AND second bits are 1. If only one bit is a 1, the result is 0.
Bit manipulation is the act of algorithmically manipulating bits using bit-level (bitwise) operations. These bitwise operations are the heart of bit manipulation. They are primitive, fast actions that are used in improving the efficiency of a program.
Consider some number having at least two 0 bits. Here is an example of such a number with the 2 rightmost 0 bits marked (x...x are bits we don't care about which can be either 0 or 1, and 1...1 are the sequences of zero or more 1 bits to the right and to the left of the rightmost 0 bit) :
x...x01...101...1 - that's n
If you add 1 to that number you get :
x...x01...110...0 - that's (n+1)
which means the right most 0 bit flipped to 1
therefore n|(n+1)
would give you:
x...x01...111...1 - that's n|(n+1)
If you add 1
to n|(n+1)
you get:
x...x100........0 - that's (n|(n+1))+1
which means the second right most 0 bit also flips to 1
Now, ~(n|(n+1))
is
y...y10.........0 - that's ~(n|(n+1))
where each y bit is the inverse of the corresponding x bit
therefore ~(n|(n+1)) & ((n|(n+1))+1)
gives
0...010.........0
where the only 1 bit is at the location of the second rightmost 0
bit of the input number.
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