Binding closures to objects in PHP - Time & Space Complexity
We want to understand how the time it takes to run code changes when we bind closures to objects in PHP.
Specifically, how does the number of operations grow as the number of bindings increases?
Analyze the time complexity of the following code snippet.
class MyClass {
public $value;
}
$closure = function() {
return $this->value;
};
$objects = [];
for ($i = 0; $i < $n; $i++) {
$obj = new MyClass();
$obj->value = $i;
$boundClosure = $closure->bindTo($obj, MyClass::class);
$objects[] = $boundClosure();
}
This code creates $n objects, binds the same closure to each object, and calls it to get a value.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: The for-loop that creates objects, binds the closure, and calls it.
- How many times: Exactly
ntimes, once for each object.
Each iteration does a fixed amount of work: creating an object, binding the closure, and calling it.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | About 10 times the fixed work |
| 100 | About 100 times the fixed work |
| 1000 | About 1000 times the fixed work |
Pattern observation: The total work grows directly in proportion to n.
Time Complexity: O(n)
This means the time to run the code grows linearly as the number of objects increases.
[X] Wrong: "Binding a closure to an object is instant and does not add to the time cost."
[OK] Correct: Binding actually creates a new closure context each time, so doing it repeatedly adds time proportional to how many times you do it.
Understanding how binding closures affects performance helps you write efficient PHP code and shows you can think about how code scales with input size.
"What if we bind the closure once outside the loop and reuse it for all objects? How would the time complexity change?"