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ITEC 380
2020spring
ibarland

tail-recursion, scope
and natnum template

Due Mar.Mar.23 (Mon) on D2L. Problems 6,7 will be moved to the next homework.

Reading: Scott §3.6.4; (Lambda expressions); §11;, but skip 11.4 and 11.5 (OCaml and Evaluation Order, respectively).

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. 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:

  1. Write the function sublist : list-of-α, natnum, natnum → list-of-α, which works similar to2 substring: (sublist lst i j) returns the elements of lst from index i up to (but not including) index j (using 0-based indices).
  2. A tail-recursive function is one where                                                                                                                          after making its recursive call.
    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).
  3. Based on Exercise 11.6b from Scott (third ed., 10.6b), min:
  4. Inspired by Scott's exercise about log2 (11.6a; third ed. 10.6a): Here is a function to convert a number to its base-2 representation3:
    (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")
    
    ; 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”.
    1. The above code is not tail-recursive, because after the recursive call, it must still call                                       .
    2. Give a tail-recursive version of this function. (Be sure to include tests, purpose-statement, etc. for any helper function you write.)
  5. 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.

    In all cases, presume we have:
    line 01 (define a 5)
    line 02 (define b 10)
    1. line A1  (let {[z 50]
      line A2        [a 51]
      line A3        }
      line A4    (+ a b z))
      
      ; evaluates to:          
    2. line B1     (let {[z 50]
      line B2           [a 51]
      line B3           [b (* a 3)]
      line B4           }
      line B5       (+ a b z))
      
      ; evaluates to:          
    3. 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:              
    4. line D1     (let* {[z 50]
      line D2            [a 51]
      line D3            [b (* a 3)]
      line D4            }
      line D5        (+ a b z))
      
      ; evaluates to:         


  6. We talked about functions-as-values (using lambda) at the end of lecture Thursday before break, but only briefly. We'll defer the next two problems to the following homework.

    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 #o222 (a transparency)) and a color. Two such examples are ellipse and rhombus.

    Let’s write a function shapes-in-a-row which takes in a list containing such functions, and returns an image that is the result of calling each function with the arguments 54, 40, #o222, and 'lightCoral, and putting all the images beside each other:

    (check-expect (shapes-in-a-row (list ellipse right-triangle rhombus))
                  (beside (ellipse 54 40 #o222 'lightCoral)
                          (beside (right-triangle 54 40 #o222 'lightCoral)
                                  (beside (rhombus 54 40 #o222 'lightCoral)
                                          empty-image))))
    Make sure you've increased your language-level to “Intermediate Student with lambda”, as mentioned above.
    When writing the signature for shapes-in-a-row, don’t just say one input is of type “function”; give its full signature4. This function and the next do not need to be tail-recursive — the goal of this exercise is to be comfortable with passing functions.

    Using lambda, write a single expression (no defines) which calls your function and passes it a list containing the following two functions:

    1. a shape-drawing-function which (when passed v,w,mode,color) will create a 5-sided star with v as its side-length, of the indicated mode & color (and w is unused).
      (shapes-in-a-row will of course pass your function the arguments 54,40,#o222,'lightCoral).
    2. and
    3. a shape-drawing-function which (when passed v,w,mode,color) will create a pulled-regular-polygon with sides v long, having w sides, a pull of 0.9 and angle of 20 of the indicated mode and color.
    Don’t name these functions5; use lambda. Do not, of course, modify your previous code for shapes-in-a-row.

  7. Scott, Exercise 11.7b (third ed: 10.7b), filter. Call your function my-filter; do not use the built-in function filter, of course. This function does not need to be tail-recursive — the goal of this exercise is to be comfortable with passing functions.
    Hint: Using the name “keep?” for one of your parameters is a good, descriptive name.

    Using my-filter, re-write hw05's count-bigs and dotsaliens-remaining as one-liners. You don't need to submit all your Pac-man code/structs, nor your test-cases — however it should run just as before.


1 Your final program doesn’t need to include any "transitional" results from the template: For example, you don’t need the stubbed-out version of a function from step 5. However, you should still have passed through this phase.      
2 But unlike substring, we won't have an overloaded, 2-argument version that stops at the end of the string.      
3 Realize that numbers, numerals, and digits are three distinct concepts. In programming, the distinction becomes clear: numbers/numerals/digits correspond to double/string/char, respectively.      
4 For example, when sorting a list-of-songs, we might write sort : list-of-song, (song, song → boolean) → list-of-song.
(Though in the case of sort, “song” could be replaced by any type, so we used a type-variable like α or (in Java) <T>. That’s not needed here; we already know the exact the signature of the functions that shapes-in-a-row receives.)      
5 In many languages, we'd call this the "adaptor pattern", and might write entire classes and interfaces, instead of just using an anonymous function.      

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