Microtask scheduler task runner

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### 💡 How to Think About This Problem
When implementing **Microtask scheduler task runner** in a frontend interview, candidate developers should focus on structural correctness, managing execution bindings, and minimizing performance overhead.

#### 1. Deconstructing the Requirements
To build a robust solution for **Microtask scheduler task runner**:
* **Inputs/Outputs**: Validate parameter types, handling boundary values such as empty values, null properties, or negative constraints cleanly.
* **Design Philosophy**: Break the problem down into small, composable operations that are easy to test.

#### 2. Step-by-Step Walkthrough

* **Step-by-Step Walkthrough**:
  * **Step 1: Microtask Queue** - Use standard `queueMicrotask` API.
  * **Step 2: Polyfills** - Fallback to promise resolves or setTimeout if environment compatibility limits exist.

#### 3. Complexity & Memory Analysis
* **Time Complexity**: Standard optimal linear $O(N)$ scan or $O(1)$ direct check.
* **Space Complexity**: P

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