Pattern Matching

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Pattern Matching in Racket

Pattern matching is a powerful tool in Racket that simplifies recursive list processing by directly mapping the structure of data, like lists, to the function's structure. This allows for more concise and readable code.

Basics of Pattern Matching

Syntax:


(match <expr>

    [<pattern1> <result1>]

    [<pattern2> <result2>]

    ...)
• : The expression being matched, called the scrutinee.

• Patterns are checked in sequence until one matches the scrutinee.

Common Patterns

  1. null pattern: Matches an empty list, typically for base cases.

  2. cons pattern: (cons head tail) matches a non-empty list. This binds:

• head to the first element

• tail to the rest of the list

Example: list-length

Calculating the length of a list using pattern matching:

(define list-length

(lambda (l)

(match l

[null 0]

[(cons _ tail) (+ 1 (list-length tail))])))

Example: Matching Nested Lists

Pattern matching handles complex list structures too:

(match (list 1 2 3)

[(cons x (cons y rest)) (list x y rest)]) ; Matches the first two elements

Benefits of Pattern Matching

Readability: Code matches the recursive structure of lists, making it intuitive.

Automatic Binding: Pattern matching automatically binds parts of the list (head, tail), avoiding repetitive car and cdr.

Conciseness: Reduces the need for additional let bindings or conditional expressions.

Advanced Tips

Ignoring Values: Use _ for values that don’t impact the outcome, such as [(cons _ tail) ...].

Complex Patterns: Can match multiple list elements or nest patterns to handle sublists effectively.

Practical Use Cases

Pattern matching is especially useful for recursive functions on lists, like:

(define sum

(lambda (lst)

(match lst

[null 0]

[(cons head tail) (+ head (sum tail))])))

Pattern matching aligns naturally with Racket’s recursive functions, providing both clarity and efficiency in code.