In C++, std::bitset
is a part of the standard library that is used to represent a fixed-size sequence of bits. It provides an interface for bitwise operations and easy manipulation of bit-level data.
To construct a std::bitset
, you need to define the size of the bitset as a template parameter. Optionally, you can initialize it with a string or an unsigned long long integer.
Here’s a simple example of how to construct and use std::bitset
:
#include <iostream>
#include <bitset>
int main() {
// Create a bitset of size 8
std::bitset<8> bset1; // All bits initialized to 0
// Set bits at specific positions
bset1.set(1); // Set 2nd bit
bset1.set(3); // Set 4th bit
// Display the bitset
std::cout << "Bitset 1: " << bset1 << std::endl; // Output: 00001010
// Create a bitset with initialization
std::bitset<8> bset2("10110101"); // Initialize with a binary string
// Display the second bitset
std::cout << "Bitset 2: " << bset2 << std::endl; // Output: 10110101
// Perform bitwise operations
std::bitset<8> bset3 = bset1 & bset2; // AND operation
std::cout << "Bitset 1 AND Bitset 2: " << bset3 << std::endl; // Output: 00000000
return 0;
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?