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The first approach involves augmenting the Function prototype to add our custom callPolyfill method. This method should simulate the behavior of the native Function.prototype.call method. We'll save the original context of this, invoke our function with the given context, and apply the additional arguments.
Time Complexity: O(1) — The time to set a property and invoke a function is constant.
Space Complexity: O(1) — Space used is constant because no structures grow with input size.
1def callPolyfill(fn, obj, *This solution utilizes Python's method binding. The __get__ descriptor method is used to bind our function to the given object, thereby setting the self context. We then call this bound method with the given arguments.
This approach leverages closures to encapsulate the function call logic. By using an immediately invoked function expression (IIFE), we can create a local scope that captures the context and arguments for the function call.
Time Complexity: O(1) — Function invocation is a constant time operation.
Space Complexity: O(1) — No additional space is required.
1import java.lang.reflect.Method;
2
3public class FunctionPolyfill {
4 public static Object callPolyfill(Object obj, Method method, Object... args) throws Exception {
5 return method.invoke(obj, args);
6 }
7}This Java solution makes use of reflection to invoke a method with the specified context. While Java doesn't directly support JavaScript-like binding, using Method.invoke on a specific instance achieves a similar effect.