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| README.md | ||
| README_EN.md | ||
| Solution.cpp | ||
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| Solution.py | ||
| Solution.swift | ||
| Solution.ts | ||
README_EN.md
| comments | difficulty | edit_url |
|---|---|---|
| true | Easy | https://github.com/doocs/leetcode/edit/main/lcci/05.01.Insert%20Into%20Bits/README_EN.md |
05.01. Insert Into Bits
Description
You are given two 32-bit numbers, N and M, and two bit positions, i and j. Write a method to insert M into N such that M starts at bit j and ends at bit i. You can assume that the bits j through i have enough space to fit all of M. That is, if M = 10011, you can assume that there are at least 5 bits between j and i. You would not, for example, have j = 3 and i = 2, because M could not fully fit between bit 3 and bit 2.
Example1:
Input: N = 10000000000, M = 10011, i = 2, j = 6
Output: N = 10001001100
Example2:
Input: N = 0, M = 11111, i = 0, j = 4
Output: N = 11111
Solutions
Solution 1: Bit Manipulation
First, we clear the bits from the i-th to the j-th in N, then we left shift M by i bits, and finally perform a bitwise OR operation on M and N.
The time complexity is O(\log n), where n is the size of N. The space complexity is O(1).
Python3
class Solution:
def insertBits(self, N: int, M: int, i: int, j: int) -> int:
for k in range(i, j + 1):
N &= ~(1 << k)
return N | M << i
Java
class Solution {
public int insertBits(int N, int M, int i, int j) {
for (int k = i; k <= j; ++k) {
N &= ~(1 << k);
}
return N | M << i;
}
}
C++
class Solution {
public:
int insertBits(int N, int M, int i, int j) {
for (int k = i; k <= j; ++k) {
N &= ~(1 << k);
}
return N | M << i;
}
};
Go
func insertBits(N int, M int, i int, j int) int {
for k := i; k <= j; k++ {
N &= ^(1 << k)
}
return N | M<<i
}
TypeScript
function insertBits(N: number, M: number, i: number, j: number): number {
for (let k = i; k <= j; ++k) {
N &= ~(1 << k);
}
return N | (M << i);
}
Swift
class Solution {
func insertBits(_ N: Int, _ M: Int, _ i: Int, _ j: Int) -> Int {
var result = N
for k in i...j {
result &= ~(1 << k)
}
return result | (M << i)
}
}