tokenize-then-parse

name	tokenize-then-parse
description	For interpreters: separate lexing from parsing, token stream to AST, structured text processing in stages.

tokenize-then-parse

When to Use

• Building interpreters or compilers
• Processing parenthesized expressions
• Structured text with clear token boundaries
• Multi-stage processing pipeline

When NOT to Use

• Simple fixed format (just split)
• Very complex grammar (use parser generator)
• No clear token boundaries

The Pattern

Tokenize text into a stream of tokens, then parse tokens into a structure.

def tokenize(s):
    """Convert string to list of tokens."""
    return s.replace('(', ' ( ').replace(')', ' ) ').split()

def parse(tokens):
    """Parse tokens into nested structure."""
    token = tokens.pop(0)
    if token == '(':
        result = []
        while tokens[0] != ')':
            result.append(parse(tokens))
        tokens.pop(0)  # Remove ')'
        return result
    else:
        return atom(token)

def atom(token):
    """Convert token to appropriate type."""
    try:
        return int(token)
    except ValueError:
        try:
            return float(token)
        except ValueError:
            return token

Example (from pytudes lis.py)

def tokenize(s):
    """Convert a string into a list of tokens."""
    return s.replace('(', ' ( ').replace(')', ' ) ').split()

def read_from_tokens(tokens):
    """Read an expression from a sequence of tokens."""
    if len(tokens) == 0:
        raise SyntaxError('unexpected EOF')

    token = tokens.pop(0)

    if token == '(':
        L = []
        while tokens[0] != ')':
            L.append(read_from_tokens(tokens))
        tokens.pop(0)  # Remove ')'
        return L
    elif token == ')':
        raise SyntaxError('unexpected )')
    else:
        return atom(token)

def atom(token):
    """Numbers become numbers; every other token is a symbol."""
    try:
        return int(token)
    except ValueError:
        try:
            return float(token)
        except ValueError:
            return Symbol(token)

def parse():
    
     read_from_tokens(tokenize(program))


parse()


parse()

Key Principles

1. Tokenize first: Separate lexing from parsing
2. pop(0) consumes: Mutable token list, pop as you parse
3. Recursive descent: Parse nested structures recursively
4. Error on malformed: Raise SyntaxError for bad input
5. atom() for literals: Handle number conversion