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Compiler-designConceptBeginner · 3 min read

Operator Precedence Parsing: Definition, Example, and Use Cases

Operator precedence parsing is a technique used in compilers to analyze expressions by respecting the priority of operators. It uses a set of rules to decide which operator to evaluate first, ensuring correct order without needing full grammar parsing.
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How It Works

Operator precedence parsing works like following traffic rules at an intersection. Imagine operators as cars wanting to move, and precedence rules as traffic lights deciding who goes first. This method uses a table of operator priorities to decide which operator should be processed before others.

When parsing an expression, the parser looks at the current operator and the next one. It compares their precedence and decides whether to apply the current operator or wait for the next. This way, it builds the correct order of operations step-by-step without needing to analyze the entire expression structure at once.

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Example

This example shows a simple operator precedence parser for expressions with + and * operators, where * has higher precedence than +.

python
def precedence(op):
    if op == '+':
        return 1
    if op == '*':
        return 2
    return 0

def apply_op(a, b, op):
    if op == '+':
        return a + b
    if op == '*':
        return a * b

def evaluate(expression):
    values = []
    ops = []
    i = 0
    while i < len(expression):
        if expression[i].isdigit():
            val = 0
            while i < len(expression) and expression[i].isdigit():
                val = val * 10 + int(expression[i])
                i += 1
            values.append(val)
            continue
        else:
            while (ops and precedence(ops[-1]) >= precedence(expression[i])):
                val2 = values.pop()
                val1 = values.pop()
                op = ops.pop()
                values.append(apply_op(val1, val2, op))
            ops.append(expression[i])
        i += 1
    while ops:
        val2 = values.pop()
        val1 = values.pop()
        op = ops.pop()
        values.append(apply_op(val1, val2, op))
    return values[0]

expr = "3+5*2+4"
result = evaluate(expr)
print(f"Result of '{expr}' is {result}")
Output
Result of '3+5*2+4' is 17
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When to Use

Operator precedence parsing is useful when you need to quickly and efficiently parse arithmetic or logical expressions without building a full parse tree. It is commonly used in simple calculators, interpreters, and some compiler front-ends where expressions have well-defined operator priorities.

This method is best when the grammar is simple and mostly involves binary operators with clear precedence rules. It is less suitable for complex languages with ambiguous or nested grammar structures.

Key Points

  • Operator precedence parsing uses operator priority to decide evaluation order.
  • It avoids full grammar parsing by focusing on operators and their precedence.
  • Commonly used for arithmetic expressions with clear operator rules.
  • It uses stacks to hold values and operators during parsing.
  • Not ideal for complex or ambiguous grammars.

Key Takeaways

Operator precedence parsing orders operations based on operator priority to evaluate expressions correctly.
It uses stacks and precedence rules to decide when to apply operators during parsing.
Ideal for simple expressions with clear operator precedence like arithmetic calculations.
It is faster and simpler than full grammar parsing for suitable cases.
Not recommended for complex or ambiguous language grammars.