Feature: 🎸 Enhance + Update + Docs for Memoization

[yashksaini-coder]

✅ Closes: #414

This pull request includes significant updates to the memoization module, with a focus on enhancing performance and code organization. The changes include the removal of redundant files, the introduction of new classes and decorators, and the reorganization of existing code into a more structured format.

Removal of Redundant Files:

• Removed detailed markdown files explaining memoization and its importance, as well as examples of memoization in various problems (Importance-of-memoisation copy.md, Memoisation.md, functoolslru_cache_AutomaticMemoization.md, functoolslru_cache_AutomaticMemoization.py). [1] [2] [3] [4]

Introduction of New Classes and Decorators:

• Added a Memoizer class to handle memoization with logging for cache hits and errors (class_based_memoization.py).
• Introduced a memoize decorator with logging to replace the use of functools.lru_cache (decorator.py).

Reorganization of Existing Code:

• Refactored the factorial, fibonacci, knapsack, and lcs functions into their respective classes (FactorialCalculator, FibonacciCalculator, KnapsackSolver, LCSSolver) with memoization applied via the new decorator (factorial.py, fibonacci.py, knapsack.py, lcs.py). [1] [2] [3] [4]

Module Overview and Usage:

• Added a new Memoisation module overview with detailed features, including the Memoizer class and various optimized mathematical functions (Memoization.md).

TESTING

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