#### 6.1.1.15 Destructuring ¶

The d-type-spec argument is used for destructuring. If the d-type-spec argument consists solely of the type fixnum, float, t, or nil, the `of-type` keyword is optional. The `of-type` construct is optional in these cases to provide backwards compatibility; thus, the following two expressions are the same:

    ;;; This expression uses the old syntax for type specifiers.
     (loop for i fixnum upfrom 3 ...)

    ;;; This expression uses the new syntax for type specifiers.
     (loop for i of-type fixnum upfrom 3 ...)

    ;; Declare X and Y to be of type VECTOR and FIXNUM respectively.
     (loop for (x y) of-type (vector fixnum)
           in l do ...)

A type specifier for a destructuring pattern is a tree of type specifiers with the same shape as the tree of variable names, with the following exceptions:

`*`

  When aligning the trees, an atom in the tree of type specifiers that matches a cons in the variable tree declares the same type for each variable in the subtree rooted at the cons.

`*`

  A cons in the tree of type specifiers that matches an atom in the tree of variable names is a compound type specifer.

Destructuring allows binding of a set of variables to a corresponding set of values anywhere that a value can normally be bound to a single variable. During loop expansion, each variable in the variable list is matched with the values in the values list. If there are more variables in the variable list than there are values in the values list, the remaining variables are given a value of nil. If there are more values than variables listed, the extra values are discarded.

To assign values from a list to the variables `a`, `b`, and `c`, the `for` clause could be used to bind the variable `numlist` to the car of the supplied form, and then another `for` clause could be used to bind the variables `a`, `b`, and `c` sequentially.

    ;; Collect values by using FOR constructs.
     (loop for numlist in '((1 2 4.0) (5 6 8.3) (8 9 10.4))
           for a of-type integer = (first numlist)
           and b of-type integer = (second numlist)
           and c of-type float = (third numlist)
           collect (list c b a))
    ⇒  ((4.0 2 1) (8.3 6 5) (10.4 9 8))

Destructuring makes this process easier by allowing the variables to be bound in each loop iteration. Types can be declared by using a list of type-spec arguments. If all the types are the same, a shorthand destructuring syntax can be used, as the second example illustrates.

    ;; Destructuring simplifies the process.
     (loop for (a b c) of-type (integer integer float) in
           '((1 2 4.0) (5 6 8.3) (8 9 10.4))
           collect (list c b a))
    ⇒  ((4.0 2 1) (8.3 6 5) (10.4 9 8))

    ;; If all the types are the same, this way is even simpler.
     (loop for (a b c) of-type float in
           '((1.0 2.0 4.0) (5.0 6.0 8.3) (8.0 9.0 10.4))
           collect (list c b a))
    ⇒  ((4.0 2.0 1.0) (8.3 6.0 5.0) (10.4 9.0 8.0))

If destructuring is used to declare or initialize a number of groups of variables into types, the loop keyword `and` can be used to simplify the process further.

    ;; Initialize and declare variables in parallel by using the AND construct.\kern-7pt
     (loop with (a b) of-type float = '(1.0 2.0)
           and (c d) of-type integer = '(3 4)
           and (e f)
           return (list a b c d e f))
    ⇒  (1.0 2.0 3 4 NIL NIL)

If nil is used in a destructuring list, no variable is provided for its place.

     (loop for (a nil b) = '(1 2 3)
           do (return (list a b)))
    ⇒  (1 3)

Note that dotted lists can specify destructuring.

     (loop for (x . y) = '(1 . 2)
           do (return y))
    ⇒  2
     (loop for ((a . b) (c . d)) of-type ((float . float) (integer . integer)) in
           '(((1.2 . 2.4) (3 . 4)) ((3.4 . 4.6) (5 . 6)))
           collect (list a b c d))
    ⇒  ((1.2 2.4 3 4) (3.4 4.6 5 6))

An error of type program-error is signaled (at macro expansion time) if the same variable is bound twice in any variable-binding clause of a single loop expression. Such variables include local variables, iteration control variables, and variables found by destructuring.