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Due
Reading: Scott §§ 3.3.0–3.3.3 (scope), § 6.6 (tail-recursion).
Your name and the assignment-number must be in a comment at the start of the file, and your hardcopy must be stapled. All functions/data must include the appropriate steps1 of the-design-recipe.html. In particular, test cases alone might be worth half the credit for a function. Unless otherwise indicated, two test cases will suffice for most problems, if they are testing different situations.
For this (and future) assignments, bump up your DrRacket language-level to Intermediate Student with lambda. Do not call any of the following functions:
Recall: the scope of identifiers introduced with let is just the body of the let, while the scope of identifiers introduced with let* is the body of the let and all following right-hand-sides of the let*.
Recall: a variable-use's binding-occurrence is the place where that variable is defined.
Hint: The binding-occurrence itself is not considered a use of the variable. There are a total of seven uses of a, amongst the four parts.
line 01 (define a 5) line 02 (define b 10) |
line A1 (let {[z 50] line A2 [a 51] line A3 } line A4 (+ a b z)) ; evaluates to: |
line B1 (let {[z 50] line B2 [a 51] line B3 [b (* a 3)] line B4 } line B5 (+ a b z)) ; evaluates to: |
line C1 (define (foo a) line C2 (let {[z 50] line C3 [a 51] line C4 [b (* a 3)] line C5 } line C6 (+ a b z))) line C7 (foo 1001) ; evaluates to: |
line D1 (let* {[z 50] line D2 [a 51] line D3 [b (* a 3)] line D4 } line D5 (+ a b z)) ; evaluates to: |
Note: Note that being tail-recursive is a property of a function’s source-code. The fact that a tail-recursive function can be optimized to not unnecessarily-allocate stack space is a compiler-implementation issue — albeit it’s what makes the concept of tail-recursion important.
Reading: Scott also discusses recursion and tail-recursion, in §6.6.1; (both 3rd and 4th eds).
#| /** Return the smallest number in a list. * @pre <code>!nums.isEmpty()</code> * @return the smallest number in `nums`. */ static Double myMin( List<Double> nums ) { // initialize our loop-variables: double minSoFar = nums.get( ); List<Double> numsRemaining = nums.subList( ,nums.size()); while ( ) { double a = numsRemaining.get(0); // corresponding to Scott’s variable `a` minSoFar = ( ? : ); numsRemaining = ; } return minSoFar; } |# |
Btw: The book’s starting-code calls (empty? (rest l)) — something not in the template. It’s a bit of a hack to stray from the template: Scott wants to avoid making a helper-function, but still return a sentinel-value answer for empty-lists.
However, when converting to tail-recursion, this difference ends up being moot: as you make a helper/wrapper function for the tail-recursion, that extra check disappears.
scheme vs racket: The book’s scheme code uses: car, cdr, null?, and #t. In racket, these names are (respectively): first, rest, empty?, and #true.
(check-expect (natnum->string/binary 0) "") ; Note that we remove (all) leading zeroes (!) (check-expect (natnum->string/binary 1) "1") (check-expect (natnum->string/binary 2) "10") (check-expect (natnum->string/binary 3) "11") (check-expect (natnum->string/binary 4) "100") (check-expect (natnum->string/binary 5) "101") (check-expect (natnum->string/binary 15) "1111") (check-expect (natnum->string/binary 16) "10000") (check-expect (natnum->string/binary (+ 1024 8 4)) "10000001100") (check-expect (natnum->string/binary #xA) "1010") ; hex literal (check-expect (natnum->string/binary #xFFFF) "1111111111111111") (check-expect (natnum->string/binary #xfeedBee) "1111111011101101101111101110") ; natnum->string/binary : natnum -> string ; Return the binary-numeral representing n (without any leading zeroes). ; Note that the numeral for zero, without leading zeros, is the empty-string! ; (define (natnum->string/binary n) (cond [(zero? n) ""] [(positive? n) (string-append (natnum->string/binary (quotient n 2)) (if (even? n) "0" "1"))])) |
Btw: This code doesn’t quite follow the design-recipe for natural-numbers, because it recurs on (quotient n 2) rather than (sub1 n). But it still works fine because it “reduces” the natnum to a smaller one. To reason about this code, you wouldn’t use straight-up mathematical induction; instead you'd call it “strong induction”.
processing the natnum datatype definition:
Write my-list-ref, which takes a list and an index,
and returns the list item at the indicated index (0-based).
data def: A natural-number is:
The predicates zero? and positive? are often used
to distinguish the two branches,
though of course = and > could be used equally-well.
And/or, see the lecture notes on
our function countdown
(or other functions following the natural? template,
about viewing sub1 as the getter
to pull out the
“natural-number field, which a positive is built out of”.
Hint: A good, descriptive name for one of your parameters would be “keep?”.This function does not need to be tail-recursive (and will naturally be not-necessarily-tail-recursive, since lists are recursively defined). The goal of this exercise is to be comfortable with passing functions.
Tor
T?or
αas a type-variable.
Notice that several of the image-creating functions imported via (require 2htdp/image) are similar, in that they happen to take four arguments: two non-negative numbers v and w, a drawing mode (e.g. 'solid or #o162 (a transparency)) and a color. Two such examples are ellipse and rhombus.
(check-expect (shapes-in-a-row |
Do not use define to create these functions; your answer should be of the form (shapes-in-a-row (list (lambda …) (lambda …))).
This is actually an example of theadaptor pattern: shapes-in-a-row expects functions that meet a certain interface (4 inputs), but the functions we have (star, pulled-polygon) need to be adapted to satisfy that interface. This can be easy (a couple lines, as above) in languages with anonymous functions and dynamic-typing (or good type inference); otherwise it might require writing entire classes and interfaces.
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