Lexical Analyzer for MS Small Basic

This Python-based lexical analyzer is designed to analyze source code written in MS Small Basic. It utilizes a clear LL(1) grammar to tokenize and identify lexical errors in the Small Basic code.

Features

• Tokenization: The analyzer tokenizes input source code into meaningful tokens such as keywords, identifiers, literals, and symbols.
• LL(1) Grammar: Utilizes a LL(1) grammar to parse the input code efficiently and accurately.
• Error Handling: Detects and reports lexical errors in the input code, providing helpful messages for debugging and correction.
• Python Implementation: Implemented in Python, making it cross-platform and easy to integrate into existing workflows.

Usage

1. Install Python: Ensure you have Python installed on your system. You can download and install Python from python.org.

2. Clone Repository: Clone this repository to your local machine using the following command:

   git clone git@github.com:daviidlyon/lexical-analyzer.git
   

3. Install Jupyter Notebook: If you haven't already, install Jupyter Notebook using pip:

   pip install notebook
   

4. Run the Jupyter Notebook: Navigate to the cloned directory and run the Jupyter Notebook server:

   jupyter notebook
   

5. Open and Run the Notebook: Open the lexical.ipynb notebook and execute the code cells to test the lexical analyzer with your Small Basic source code. Alternatively, you can use manual input via stdin.