Description & Learning Section

Tokenization is a process where source code is split into fundamental units—called tokens. Tokens include identifiers (e.g., variable and function names), keywords, and other symbols.

This tool analyzes your code by extracting these tokens and then calculating how often each token appears. Understanding token frequency can help you:

• Identify common patterns: See which keywords or identifiers are used frequently. For example, a high frequency of a particular method name might indicate repetitive logic that could be refactored.
• Review coding style: Ensure that naming conventions and language constructs are used consistently.
• Learn from examples: Compare the token frequency distributions of your code against best practices or different code samples.

How the tool works: The analyzer uses regular expressions to find all tokens that match typical identifier patterns (starting with a letter or underscore, followed by letters, digits, or underscores). It then counts the occurrence of each token and outputs a sorted list by frequency.

Example: If you input the following code snippet:

def add(a, b):
    return a + b

def multiply(a, b):
    return a * b
    

The tool might output:

def: 2
add: 1
a: 3
b: 3
return: 2
multiply: 1
    

In this example, you see that the identifiers a and b appear frequently, which is expected for parameter names. Such insights can be useful for code reviews and understanding patterns in large codebases.

Use this tool to gain a deeper look into your code's structure and identify opportunities to improve code clarity and consistency.