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University Project: Alternative JavaScript Language Processor

Overview

This project is focused on the design and implementation of a language processor for an alternative version of JavaScript. We delved into lexical, syntactical, and semantic analysis, further integrating a symbol table and an error manager. The entire processor is implemented in Python, leveraging its versatile syntax.

Features:

1. Lexical Analyzer:

  • Tokens Design: Manages and recognizes tokens like ID, PLUS, MINUS, ASSIGN, etc.
  • Grammar Definition: Outlines the characters and sequences the processor can handle.
  • Symbol Table: Implemented using a dynamic, linear organization in Python. For each scope, a separate symbol table is maintained.

2. Syntactic Analyzer:

  • Grammar Options:
    • Statements: Conditional compound (if, if-else).
    • Special Operators: Assignment with remainder (%=).
    • Analysis Technique: Ascending.
    • Comments: Block comments (/* */).
    • Strings: Single quotes (‘ ’).
  • Demonstration: The ascending syntactic analyzer works efficiently with the LR grammar, building the tree from leaves to root based on shift-reduce operations.
  • LR Table: This tool ensures our grammar is conflict-free and suitable for the parser.

3. Automaton & Test Cases:

  • The automaton's states and complete test cases (including source code, parser dumps, and syntax trees) are available in the project's GitHub repository.

Execution Workflow:

print("\n____________________________________________________________________________________")
print("Alternative JavaScript Language Processor")
print("____________________________________________________________________________________\n")

while True:
    import input_file, analizador_lexico, analizador_sintactico_semantico, tabla_simbolos as ts
    
    # Fetch and display input file
    input_file.init()
    input_file.get_file()
    print(f"+ Processed file: '{input_file.file_in.name}'\n")
    
    # Lexical Analysis: Token Generation
    analizador_lexico.init()
    analizador_lexico.save_tokens()

    # Syntactical and Semantic Analysis
    analizador_sintactico_semantico.init()
    analizador_sintactico_semantico.save_parse()
    
    # Save symbols to symbol table
    ts.save_symbol_table()

    print("------------------------------------------------------------------------------------")
    print("Tokens, Parse, and Symbol Table generated successfully!")
    print("____________________________________________________________________________________")

Note: This project is both a demonstration of language processing concepts and a testament to the adaptability of Python for diverse programming tasks. Whether you're looking into advanced computer science concepts or practical applications of Python, this project offers a comprehensive insight.