Difficulty in Debugging:?

• Since state transitions happen within different classes, it may be harder to

track down state-related bugs, especially in more complex systems.

Conclusion:

The State Pattern is an excellent choice when an object's behavior is contingent on its state,

and you need to manage the transitions between states in a clean, maintainable way. It's

ideal for situations like traffic lights, game characters, or process workflows, where the object

changes its behavior dynamically. By encapsulating the behavior of each state in separate

classes, you can avoid complex conditionals and promote better code organization and

flexibility.

Strategy Pattern: Encapsulating Algorithms for Interchangeability

Definition:

The Strategy Pattern defines a family of algorithms, encapsulates each one, and makes

them interchangeable. This pattern allows an algorithm to vary independently from clients

Follow:

that use it. It is particularly useful when you want to choose between different algorithms

dynamically at runtime, without altering the code that uses them.

Use Case:

A typical use case for the Strategy Pattern is sorting. Instead of implementing multiple

sorting algorithms directly in the client code, you can use the strategy pattern to choose

which sorting algorithm to apply (e.g., QuickSort, BubbleSort, MergeSort) depending on the

context or runtime conditions.

Code Breakdown: