Implement an OOP ToDo List with Task CRUD, Status, and Dependencies (Cascade Updates)

Problem: Implement an OOP ToDo List with Dependencies (Python) Implement the required functionality in Python following the provided skeleton with three classes: TaskStatus (Enum): represents task states Task: task entity ToDoList: task manager The problem is split into 4 parts, each with its own test cases. You implement features incrementally. Part 1: Basic CRUD Implement basic task management (CRUD) in ToDoList: Create a task Read/query a task Update a task Delete a task Notes: A unique identifier (e.g., task_id) is required as dictated by the tests. Edge-case behaviors (e.g., non-existent task operations) must match the test expectations. Part 2: Task Dependencies and Cascading Status Updates Add dependency tracking and cascade logic. Maintain dependency relationships Allow adding dependencies to a task. You must track both directions: parents/prerequisites children/dependents Cascade rules When a task becomes SUCCEEDED: check tasks that depend on it; if their prerequisites are satisfied, they may transition from BLOCKED to READY. When a task becomes FAILED: propagate the failure recursively down the dependency graph (e.g., DFS over dependents). Performance consideration There is a large test where naive DFS propagation may TLE. Avoid repeated traversals (e.g., visited set, incremental counters, etc.). Part 3 / Part 4 Not described in the shared content; omitted. Example Input # Part 1 示例（伪输入） create 1 "A" get 1 update 1 status READY delete 1 get 1 Output Task(id=1, title="A", status=READY) NOT_FOUND