; The below abstraction for binary trees is implemented with ; a function in order to force you to use selectors to inspect ; tree data in the interpreter. (define (make-bintree datum left right) (lambda (msg) (cond ((= msg 0) datum) ((= msg 1) left) ((= msg 2) right)))) (define (datum bintree) (bintree 0)) (define (left bintree) (bintree 1)) (define (right bintree) (bintree 2)) (define the-empty-tree 'cow) (define tet the-empty-tree) (define (empty-tree? tree) (eq? tree tet)) (define (leaf? bintree) (and (not (empty-tree? bintree)) (empty-tree? (left bintree)) (empty-tree? (right bintree)))) (define bst (make-bintree 15 (make-bintree 6 (make-bintree 2 tet tet) tet) (make-bintree 22 (make-bintree 17 (make-bintree 16 tet tet) (make-bintree 19 tet tet)) (make-bintree 24 tet tet))))

Here is a picture of `bst`:

bst ---> 15 / \ / \ 6 22 / / \ / / \ 2 17 24 / \ / \ 16 19

This is a **binary** tree because for every node in the tree, it has at most two children. It is a binary **search** tree because for every node in the tree, the data in the left subtree are smaller and the data in the right subtree are larger.

This binary search tree is **balanced** based on **height**. That means that for every node, the depth of the left subtree and the depth of the right subtree differ by at most one.

It is not balanced based on** weight**. For a binary tree to be balanced based on weight, the number of nodes in the left subtree and the number of nodes in the right subtree must differ by at most one. If you look at the node containing the 15, there are two nodes in the left subtree and five in the right subtree, a difference of three.

The function `list->tree` takes a list of numbers, sorted in increasing order, and returns a **weight-balanced** binary search tree containing those numbers. Your mission in this problem is to write `list->tree`. An outline of a solution path is given below. If you prefer to take this on as a challenge problem, try to figure out the steps on your own.

Suppose we have the list `'(1 2 3 4 5 6 7)`. For the tree to be weight-balanced, it would have to be stored as follows:

bst ---> 4 / \ / \ 2 6 / \ / \ / \ / \ 1 3 5 7

Remember that `make-bintree` takes a datum, a left subtree, and a right subtree as inputs. The datum for the first call to `make-bintree` in this example would be 4. The left subtree would contain the numbers smaller than 4. The right subtree would contain the numbers that are larger than 4.

It gets a little trickier if we have an even number of data in the list. For example consider `'(1 2 3 4 5 6 7 8)`. For this tree to be weight-balanced, it could be stored as either of the following trees or any other where, for each node, the number of data to the left differs from the number of data to the right by at most one:

bst ---> 5 / \ / \ 3 7 / \ / \ / \ / \ 2 4 6 8 / / 1

or

bst ---> 4 / \ / \ 2 6 / \ / \ / \ / \ 1 3 5 7 \ \ 8

or

bst ---> 4 / \ / \ 2 7 / \ / \ / \ / \ 1 3 6 8 / / 5

Etc.

At this point, if you want a challenge problem, skip straight to problem #6, below. Otherwise, do problems 1--5 to set up problem #6.

1. Write the function `first-n` that takes two inputs, a list, `lyst`, and a number, `n`. It returns a list containing the first `n` elements of `lyst`.

Examples:

> (first-n '(A B C D E) 3) (A B C)

2. Write the function `part1` which takes a list as its input and returns a list containing the first half of the elements of the input list. If the input list has an odd number of elements, the extra element should NOT be part of `part1`. Make sure to be very careful with an input of the empty list.

Hint: The functions `length`, `floor`, and `first-n` from above will be helpful. A helper function may be extremely helpful.

Examples:

> (part1 '(1 2 3 4 5 6)) (1 2 3) > (part1 '(1 2 3 4 5)) ; the 3 will go into part2 (1 2) > (part1 '()) ()

3. Write the function `rest` which takes a list as its input and returns list containing those elements in the list that would not be returned by `part1`. Again, make sure your function handles empty lists properly.

Hint: Consider using a helper function.

Examples:

> (rest '(1 2 3 4 5 6)) (4 5 6) > (rest '(1 2 3 4 5)) ; the 3 will go into rest (3 4 5) > (rest '()) ()

4. Write the function `middle-datum` which takes a list as its input and returns the middle element of the list. If the list contains an even number of elements, the middle element will be second of the two in the middle. You may assume that `middle-datum` will only be called with lists that contain at least one element.

Hint: Using one of the above functions should make this really easy.

Examples:

> (middle-datum '(1 2 3)) 2 > (middle-datum '(1 2 3 4)) 3

5. Write the function `part2` that takes a list as its input and returns the list excluding `middle-datum` and `part1`.

Hint: Using one of the above functions should make this really easy, too.

Examples:

> (part2 '(1 2 3)) ; middle-datum is 2 (3) > (part2 '(1 2 3 4)) ; middle-datum is 3 (4) > (part2 '(1 2 3 4 5)) ; middle-datum is 3 (4 5) > (part2 '(1 2 3 4 5 6)) ; middle-datum is 4 (5 6)

6. Write the function `list->tree` that takes a list of increasing numbers as its input and returns a **weight-balanced** binary search tree containing those numbers.

Example:

(define binary-tree (list->tree '(1 2 3 4 5 6 7 8)))

will result in` binary-tree `being as follows:

binary-tree ---> 5 / \ / \ 3 7 / \ / \ / \ / \ 2 4 6 8 / / 1