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(Icon) Machine Coding: (Subtitle)

📝 Overview

(Brief, 2-sentence description of the system you are building and its primary use case.)

Why This Challenge?

  • (Skill 1): (e.g., Tests your ability to handle concurrency and race conditions.)
  • (Skill 2): (e.g., Evaluates state machine design.) ...

🏭 The Scenario & Requirements

😡 The Problem (The Villain)

(Describe the messy real-world problem. e.g., "A parking lot where cars are double-parking, payment is chaotic, and finding a free spot takes 20 minutes.")

🦸 The System (The Hero)

(How our system will solve this conceptually. e.g., "An automated parking management engine that tracks spots, issues tickets, and calculates fees seamlessly.")

📜 Requirements & Constraints

  1. (Functional): (e.g., System must assign the nearest available parking spot.)
  2. (Technical): (e.g., Must handle concurrent entry/exit requests without double-booking.) ...

🏗️ Design & Architecture

🧠 Thinking Process

(Explain the step-by-step approach taken to transform the requirements into objects. Which entities exist? e.g., ParkingLot, Vehicle, Ticket.)

🧩 Class Diagram

(The Object-Oriented Blueprint. Who owns what?) 

classDiagram
    direction TB
    class SystemManager {
        +processRequest()
    }
    class Entity {
        +state
    }
    SystemManager --> Entity : manages

⚙️ Design Patterns Applied

  • [Pattern 1]: (How it's used - e.g., Strategy Pattern for calculating different parking fees based on vehicle type.)
  • [Pattern 2]: (How it's used - e.g., Singleton for the central DB connection.) ...

💻 Solution Implementation

The Code

🔬 Why This Works (Evaluation)

(Explain the core logic. How did you solve the hardest constraint? e.g., "We used threading locks on the assign_spot method to prevent race conditions.")

⚖️ Trade-offs & Limitations

Decision Pros Cons / Limitations
(e.g., In-memory list for spots) Super fast access (\(O(1)\)) Data lost on system crash

🎤 Interview Toolkit

  • Concurrency Probe: (How would you handle 10,000 simultaneous requests?)
  • Extensibility: (How easily can we add a new vehicle type, like 'Electric Scooter'?)
  • Data Persistence: (If we move from in-memory to a Database, what changes?)