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LISP Data Types Functional Programming Academic Year 2005-2006 Alessandro Cimatti [email protected]

LISP Data Types Functional Programming

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LISP Data Types Functional Programming. Academic Year 2005-2006 Alessandro Cimatti [email protected]. LISP: basic data types. Everything is a symbolic expression Symbolic expressions can be Atoms Numbers Symbols Lists - PowerPoint PPT Presentation

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Page 1: LISP Data Types Functional Programming

LISP Data TypesFunctional Programming

Academic Year 2005-2006

Alessandro Cimatti

[email protected]

Page 2: LISP Data Types Functional Programming

LISP: basic data types

• Everything is a symbolic expression• Symbolic expressions can be

– Atoms• Numbers• Symbols

– Lists• Atom: a sequence of characters beginning with a

letter, digit or special character other than “(“ or “)”. – numbers, variable names, etc.– Examples

• 2, 30, fibo, this-is-an-atom

Page 3: LISP Data Types Functional Programming

Recognizers> (atom 'a) T> (atom 12)T>(atom '(12 23))NIL> (numberp 'a) NIL> (numberp 12)T> (symbolp 'a) T> (symbolp 12)NIL

Page 4: LISP Data Types Functional Programming

Basic Math• Predicates:

– (zerop number)– (plusp number)– (oddp integer)– (evenp integer)– (integerp atom)– (floatp atom):

returns true if the argument is zero/positive number/etc.; nil, otherwise.• Comparison:

– (= number more-numbers)– (/= number more-numbers)– (< number more-numbers)– (> number more-numbers)– (<= number more-numbers)– (>= number more-numbers)– (<= 1 3 5 7) T; (< 1 3 3 5) Nil;

Page 5: LISP Data Types Functional Programming

Basic Math• Arithmetic Operations:

– (+ numbers)– (- number rest-numbers)– (* numbers)– (/ number rest-numbers)– (1+ number) – (1- number)

• Examples– (1+ 24) 25– (1- 24) 23– (+ 2 5 6) 13– (+ ) = 0– (/ 3 4 5) 3/20– (/ -3) = -1/3– (* ) 1– (+ (* 2 3) (/ 2 5)) 32/5

Page 6: LISP Data Types Functional Programming

More Math• (max 1 2 3 4 5) 5• (min 1 2 3 -4) -4• (exp number) = enumber

• (expt base power) = basepower

– (exp 2) 7.389– (expt 2 3) 23 = 8;

• (log number optional base) = logbase number;– (log 8 2) 3; (log 3) 1.09;

• (abs number) – (abs -5) 5

• (signum number) returns -1, 0 or 1 if the number is negative, zero or positive, respectively

• (sqrt number); • (isqrt number) returns the greater inter less than equal to the exact

positive square-root of the number• (round number)• (floor number)• (ceiling number)• (truncate number)

Page 7: LISP Data Types Functional Programming

Symbolic Expressions• Everything is an S-expression (Symbolic-

expression).• S-expression = ATOM | LIST • List:

– a collection of S-expression enclosed by parentheses– a sequence of items.– Examples

• (1 apple 200 3.14),• ((peach (orange)) 3.14 (apricot) apple)

– List is treated as function calls• first item as the name of a function.

– Example • (append ’(a b) ’(c d)) (a b c d)

Page 8: LISP Data Types Functional Programming

NIL• NIL is a special S-expression• It is both an atom and a list.• It represents the empty list

– can also be written as ()• It represents falsity

– anything else is considered to be true– T is the default value used for true

• Examples(not nil) = t(not t) = nil(not ‘p) = nil(and ‘p ‘q nil ‘r) = nil(and ‘p ‘q ‘r) = r

Page 9: LISP Data Types Functional Programming

The List ADT

• A list is either – The empty list ()

• or– The list obtained by adding an element to a list

• The Abstract Data type:– () : -> <list>– cons : <elem> x <list> -> <list>– first : <list> -> <elem>– rest : <list> -> <list>

Page 10: LISP Data Types Functional Programming

Lists: examples

• The empty list– NIL, also written ( )

• One element lists– (a)– (1)– ((a))– (())

• Two element lists– (a 1)– (a b)– (a (1))

Page 11: LISP Data Types Functional Programming

Operators• atom: returns true if the argument is an atom; nil otherwise.

– (atom ’(a b)) nil– (atom ’a) T

• null: returns true if the argument is nil, nil otherwise.– (null ’(a b)) nil; (null ’a) nil– (null ’()) T

• first, rest:– (first ’(a b)) a– (rest ’(a b)) (b)

• second, third, .., nth:– (second ’(a b)) b– (nth 3 ’(a b c d)) c

Page 12: LISP Data Types Functional Programming

On Quoting• Lists are treated as function calls• When given a list, the interpreter attempts to evaluate the 1st term as

the name of a function• The other terms are evaluated using the previously given rules, the

results of their evaluations are passed as parameters.• The quote operator prevents the interpreter from trying to evaluate an

s-expression.

> (setq a 5)5> (+ 6 (* 3 a))21> (list (quote (+ 2 a)) 1 3)((+ 2 a) 1 3)> (list ‘(+ 2 a) 1 3)((+ 2 a) 1 3)

Page 13: LISP Data Types Functional Programming

Eval• Quote returns an atom or a list preventing its evaluation.

> (setq a ‘b)b> (setq b ‘c)c

• Eval: is the inverse of the quote operator> (+ 3 6)9> (eval ’(+ 3 6))9> (eval ’a)b> (eval a)c> (eval ’b)c> (eval b)Error: the variable c is unbound

Page 14: LISP Data Types Functional Programming

Operators• length: number of elements in a list

– (length ’(a b c)) 3• cons: append an atom and a list

– (cons ’a ’(b c d)) (a b c d)– (cons ’(a) ’(b c d)) ((a) b c d)

• first: return the first element of a list– (first ’(a b c)) a

• rest: return the list without the first element– (rest ’(a b c)) (b c)

• basic properties– (first (cons x y)) = x – (rest (cons x y)) = y

Page 15: LISP Data Types Functional Programming

Operators

• list: creates a list out of atoms and lists– (list ’a ’b ’c) (a b c)– (list ’a ’((b) c)) (a ((b) c))– (list ’a ’(1 2) ’((b c) (3 4)))

(a (1 2) ((b c)(3 4)))

– (list 1 2 (* 3 4)) (1 2 12) (* 3 4) gets evaluated!

Page 16: LISP Data Types Functional Programming

Basics: list

• append: append two lists> (append ’(a b) ’(c d))

(a b c d)

> (append ’(a b) ’(a b) ’(c d))

(a b a b c d)

> (append ’(a b) ’() ’(c d))

(a b c d)

> (append ’() ’() ’())

()

Page 17: LISP Data Types Functional Programming

Basics: list

• member: takes two arguments to search for and a list to search for it in, then returns the item if it finds it and everything after it in the list> (member 3 ’((1 2) 3 4 5))

(3 4 5)

> (member 2 ’((1 2) 3 4 5)

nil

Page 18: LISP Data Types Functional Programming

Binding• You can bind variable anywhere in a program with the let or let*

special forms to create a local context.– let and let*: lexical scope (local context)

• (let ( <list of local vars> ) <body> )• (let ((a 20) b (c 30)) <body> )

– With let*, values from previous variables can be used to define new value.• (let* ((a 20) (b (* 2 a)) c) <body> )

– Examples> (let ((a 2)) (+ a 1))3> (let ((a 2) (b 4) (c 0)) (* a b))8> (setq c 3)3> (let ((c 5)) c)5> c3

Page 19: LISP Data Types Functional Programming

Lexical scope

• Return value according to the lexical scope where it’s defined.> (setq reg 5)

5

> (defun check-reg () reg)

CHECK-REG

> (check-reg)

5

> (let ((reg 6))

(check-reg))

5

Page 20: LISP Data Types Functional Programming

Dynamic scope• Defvar can be used to define a special variable

that is dynamically scoped.> (defvar *sp* 3)*sp*> (defun check-sp () *sp*)CHECK-SP> (check-sp)3> (let ((*sp* 4)) (check-sp))4> *sp*3> (let ((x 23)) (check-sp))3

Page 21: LISP Data Types Functional Programming

Conditional Predicates• Predicates

– Returns either T or Nil.– numberp, listp, symbolp, zerop, etc.– atom: test if an s-expression is an atom.– null: tests for nil.– equal: test if the values are the same.– eq: test if the memory locations are the same.– typep: takes two parameters of an element to test and

a type to test it for• e.g.) (typep 6 ’number)

– Logical operators: and, or, not• Nil or the empty list is considered to be false, everything else

is true.• (and 1 2) 2• (and () 2) nil

Page 22: LISP Data Types Functional Programming

Control structure• if statement

– (if condition Body1-when-true Body2-when-false)

> (if (< 3 5) (+ 2 3) (* 2 3))5

• cond statement– (cond ((testp1) body1)

((testp2) body2) ....(t (default-body))

> (cond ((> 1 2) (+ 2 3)) ((< 2 3) (* 2 3)) (t 10))6

Page 23: LISP Data Types Functional Programming

Length(defun length (l) (if (null l) 0 (+ 1 (length (rest l)))))length

> (length ‘(a b c)) (+ 1 (length ‘(b c))) (+ 1 (+ 1 (length ‘(c)))) (+ 1 (+ 1 (+ 1 (length ‘())))) (+ 1 (+ 1 (+ 1 0)) ... (+ 1 2)3

Page 24: LISP Data Types Functional Programming

Iterative Length> (defun length (l) (length-iter l 0))length

> (defun length-iter (l cnt) (if (null l) cnt (length-iter (rest l) (+ 1 cnt)))length-iter

> (length ‘(a b c)) (length-iter ‘(a b c) 0) (length-iter ‘(b c) 1) (length-iter ‘(c) 2) (length-iter ‘() 3)3

Page 25: LISP Data Types Functional Programming

Append

(defun append (l1 l2)

(if (null l1) l2

(cons

(first l1)

(append (rest l1) l2)))))

Page 26: LISP Data Types Functional Programming

Running Append

> (append ‘(1 2) ‘(3 4 5))

(cons 1 (append ‘(2) ‘(3 4 5)))

(cons 1 (cons 2 (append ‘() ‘(3 4 5)))

(cons 1 (cons 2 ‘(3 4 5)))

(cons 1 ‘(2 3 4 5))

(1 2 3 4 5)

Page 27: LISP Data Types Functional Programming

Reverse

(defun reverse (l)

(if (null l) l

(append

(reverse (rest l))

(list (first l)))))

Page 28: LISP Data Types Functional Programming

Running reverse> (reverse ‘(a b c))(append (reverse ‘(b c)) ‘(a))(append (append (reverse ‘(c)) ‘(b)) ‘(a))(append (append (append () ‘(c)) ‘(b)) ‘(a))(append (append ‘(c) ‘(b)) ‘(a))(append (cons ‘c ‘(b)) ‘(a))(append ‘(c b) ‘(a))(cons ‘c (append ‘(b) ‘(a)))(cons ‘c (cons ‘b ‘(a)))(cons ‘c ‘(b a))(c b a)

; Notice something wrong?; We traverse the lists too many times!!!

Page 29: LISP Data Types Functional Programming

Iteration vs Linear Recursion

• We have seen this happen with numbers

• The return value of the caller function is the return value of the called function

• No need to “wait on stack” for called function to return

• Iteration can be optimized during compilation

Page 30: LISP Data Types Functional Programming

Reverse Iterative

(defun reverse (l)

(reverse-iter l ()))

(defun reverse-iter (l acc)

(if (null l) acc

(reverse-iter (rest l) (cons (first l) acc))))

(reverse-iter ‘(a b c) nil)

(reverse-iter ‘(b c) (cons ‘a nil))

(reverse-iter ‘(c) (cons ‘b ‘(a)))

(reverse-iter ‘() (cons ‘c ‘(b a)))

‘(c b a)

Page 31: LISP Data Types Functional Programming

Append Iterative(defun append (l1 l2) (append-iter l1 l2 ()))(defun append-iter (l1 l2 acc) (if (null l1) (if (null acc) l2 (append-iter l1 (cons (first acc) l2) (rest acc)) (append-iter (rest l1) l2 (cons (first l1) acc)))))

> (append-iter ‘(a b) ‘(c d e) ‘())(append-iter ‘(b) ‘(c d e) ‘(a))(append-iter ‘() ‘(c d e) ‘(b a))(append-iter ‘() ‘(b c d e) ‘(a))(append-iter ‘() ‘(a b c d e) ‘())(a b c d e)

Page 32: LISP Data Types Functional Programming

The Cons ADT• A cons is either

– The empty list ()• Or

– The list obtained by consing two elements• The Abstract Data Type:

– <atom>: -> <sexp>– cons : <sexp> x <sexp> -> <cons>– car : <cons> -> <sexp>– cdr : <cons> -> <sexp>

• Basic properties– (car (cons x y)) = x– (cdr (cons x y)) = y

• Compare with lists: the second element of the last cons of a list is always nil > (cons 1 2)(1 . 2)> (list 1 2)(1 2)> (cons 1 (cons 2 nil))(1 2)

Page 33: LISP Data Types Functional Programming

Conses• cons: takes two s-expressions and returns a list

whose car is the 1st item and whose cdr is the 2nd item. i.e. insert the 1st item into the list of 2nd item.– (cons ’a ’(b c)) (a b c)– (cons ’(a) ’(b c)) ((a) b c)

• car: returns 1st element (atom or list)– (car ’(a (b d))) a– (car ’((a b) c)) (a b)

• cdr: returns the rest of a list except the 1st element of a list– (cdr ’(a (b c))) ((b c))– (cadr ’((a b) c)) (c)

• Combinations are possible: cXXXXr where X=(a|r)– (cadr ’(a (b c))) == (car (cdr ’(a (b c))))

(b c)

Page 34: LISP Data Types Functional Programming

Dot notation

• A dot is used to represents a cons with infix notation

• The printer will try to avoid printing dots explicitly turning them into list notation:> ’(1 . 2)(1 . 2)> ’(1 . nil)(1)> ’(1 . (2 . 3))’(1 2 . 3)> ’((1 . 2) . (3 . 4))’((1 . 2) 3 . 4)

Page 35: LISP Data Types Functional Programming

Counting the atoms> (defun cnt-atom (l) (cond ((null l) 0) ; nil ((atom l) 1) ; not a cons (t (+ (cnt-atom (car l)) (cnt-atom (cdr l)) ) ) ) )cnt-atom> (cnt-atom '(a (b c) d (e f (g h))))8> (cnt-atom '(a (b . c) d (e f (g . h))))8

Page 36: LISP Data Types Functional Programming

Flattening a tree(defun flat (x) (cond ((null x) x) ((atom x) (list x)) (t (append (flat (car x)) (flat (cdr x))))))f

>(flat '(1 2 3 4))(1 2 3 4)

>(flat '(1 (2 3) 4))(1 2 3 4)

>(flat '(2 . 3))(2 3)

>(flat '(() 1 (1 (2 4) (5 . 3))))(1 1 2 4 5 3)

Page 37: LISP Data Types Functional Programming

Flattening a tree(defun flat1 (x) (cond ((atom x) (list x)) (t (append (flat1 (car x)) (flat1 (cdr x))))))f

>(flat1 '(1 2 3 4))(1 2 3 4 NIL)

>(flat1 '(1 (2 3) 4))(1 2 3 NIL 4 NIL)

>(flat1 '(2 . 3))(2 3)

>(flat1 '(() 1 (1 (2 4) (5 . 3))))(NIL 1 1 2 4 NIL 5 3 NIL)

Page 38: LISP Data Types Functional Programming

Flattening a tree(defun flat2 (x) (cond ((null x) x) ((atom x) (list x)) ((null (car x)) (cons nil (flat2 (cdr x)))) (t (append (flat2 (car x)) (flat2 (cdr x))))))f

>(f '(1 2 3 4))(1 2 3 4)

>(f '(1 (2 3) 4))(1 2 3 4)

>(f '(2 . 3))(2 3)

>(f '(() 1 (1 (2 4) (5 . 3))))(NIL 1 1 2 4 5 3)