### C++
Generator Usage and Examples
In modern C++,
generators can be implemented using coroutines, which provide a powerful way to create asynchronous or iterative processes without blocking the main thread of execution. The following example demonstrates how one might implement a simple range
generator that yields integers from start to end.
```cpp
#include <coroutine>
#include <iostream>
struct Range
Generator {
struct promise_type;
using handle_type = std::coroutine_handle<promise_type>;
bool done() const { return !handle_; }
int current_value() { return value_; }
void next() {
if (!done()) {
value_ = handle_.promise().current_value_;
handle_.resume();
}
}
private:
friend struct promise_type;
static constexpr
auto initial_suspend() noexcept {
return std::suspend_always{};
}
static constexpr
auto final_suspend() noexcept {
return std::suspend_always{};
}
struct promise_type {
int current_value_;
Range
Generator get_return_object() {
return Range
Generator{handle_type::from_promise(*this)};
}
std::suspend_always yield_value(int value) {
current_value_ = value;
return {};
}
std::suspend_never initial_suspend() { return {}; }
std::suspend_always final_suspend() noexcept { return {}; }
void unhandled_exception() {}
void return_void() {}
~promise_type() {}
};
explicit Range
Generator(handle_type h) : handle_(h), value_(0) {}
handle_type handle_;
int value_;
};
Range
Generator generate_range(int begin, int end) {
for (int i = begin; i <= end; ++i) {
co_yield i;
}
}
void print_generated_values(Range
Generator& gen) {
while (!gen.done()) {
std::cout << gen.current_value() << ' ';
gen.next();
}
}
```
This
code snippet defines a `Range
Generator` class that uses coroutine features introduced in C++20[^1]. It allows generating values on-demand through an iterator-like interface. This approach is particularly useful when dealing with large datasets where loading all elements into memory at once would not be feasible.
The function `generate_range` creates instances of this
generator by specifying starting and ending points. Meanwhile, `print_generated_values` iterates over these generated numbers until exhaustion occurs.
To integrate such functionality within ROS 2 nodes as mentioned previously, consider leveraging similar patterns but adapted specifically towards handling service requests asynchronously via callbacks instead of direct iteration loops[^2].
For those interested in computer vision applications involving OpenCV libraries, integrating custom-built
generators could enhance performance during image processing tasks especially under resource-constrained environments like embedded systems development projects located inside directories prepared beforehand according to specific guidelines provided earlier regarding setting up local repositories containing precompiled binaries or source
codes downloaded directly from trusted platforms including Gitee repository hosting services[^3].
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