🔢 Guess the Number (Dual Algorithms)

A robust Python implementation of the classic "Guess the Number" game featuring two distinct algorithms. This project demonstrates control flow, random number generation, and search space optimization logic.

🚀 Key Features

• Two Game Modes:
  1. User Guess: The player attempts to find a random number generated by the system.
  2. Computer Guess: The computer attempts to solve for the user's secret number using an adaptive algorithm.
• Search Space Optimization: The computer_guess function dynamically adjusts its upper and lower bounds (high and low) based on feedback, mimicking a binary search strategy to narrow down the correct answer efficiently.
• Edge Case Handling: Includes logic to prevent random.randint errors when the lower and upper bounds converge (low == high).

🛠️ How It Works

Mode 1: User Guess

The program generates a random integer between 1 and x. The user receives feedback ("Too High" or "Too Low") until the correct number is identified.

Mode 2: Computer Guess (Algorithmic)

The computer guesses a number, and the user provides feedback:

• H: The guess is too High (Computer adjusts high = guess - 1)
• L: The guess is too Low (Computer adjusts low = guess + 1)
• C: Correct

This feedback loop allows the computer to intelligently eliminate impossible numbers, converging on the solution much faster than random guessing.

💻 Usage

1. Clone the repository

   git clone [https://github.com/Digao075/guess-number-python.git](https://github.com/Digao075/guess-number-python.git)
   cd guess-number-python

2. Run the script

   python main.py

3. To change the range: Modify the function call at the bottom of the script:

   computer_guess(100) # Changes range to 1-100

🧠 Code Highlight: Algorithmic Logic

The following snippet demonstrates how the computer refines its search range. This logic prevents the computer from wasting guesses on numbers that have already been ruled out.