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ITEC 380
2021fall
ibarland

tail-recursion, scope
and natnum template

Due Oct.16 (Sat) 23:59 on D2L.

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:

  1. 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:         

  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 representation2:
    (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”.
    1. The above code is not tail-recursive, because after the recursive call, it must still call                                       . Observe how the if could be fully evaluated before the recursive 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. processing a recursive datatype definition:

    The Design Recipe

    Who doesn't love binge-watching TV shows?3 After extensive research to determine what aspects of a TV series are important for binge-watching information, I have personally determined that most shows have plot threads which may span several episodes. It's not even important what the plot threads are; a true connoisseur cares only about how many plot threads there are.

    Definition: A binge-task is one of:

    • A cliff-hanger, which contains three things: a number (how many existing plot threads are resolved), another number (how many new plot threads are introduced), and the remaining-show — a binge-task.
    • OR,
    • A moral, which: introduces either 0 or 1 plot threads (never more); never resolves any; contains a moral (like Be nice., or A fool sometimes shows wisdom, like Phoebe. (Or might not, like Joey.) ); and the remaining-show — a binge-task.
    • OR,
    • A finale, which has only one piece of interesting info: how many plot threads are resolved. (None are introduced.) It's the last episode of a binge-task; there is nothing more.
    • OR,
    • A shark-jump: No plot threads are introduced, and exactly two are resolved. But it's so contrived that everybody stops watching their binge-task, so there is nothing more after that.

    List-like, but not lists: Although binge-tasks are not lists, they are certainly reminiscent of them: For example, finales and shark-jumps (like empty-lists) cannot possibly followed by any additional tasks. However, cliff-hangers and morals (like cons structs) do have information about an episode, “followed” by one more binge-task (which may be another cliff-hanger which itself contains yet another binge-task, etc.).

    Compare this to how we represent a list of a thousand numbers really being a cons struct with only two fields: the first number, and the remainder of the list (which is another cons which itself contains yet another cons, etc.).

    So: Do not use built-in lists; everything you need comes straight from the definition above.

    1. Give a racket data-definition to represent a binge-task. (That is, to represent the above as code, what type(s) would you use in racket?)
      Hint 1: As always, if you introduce compound data you need to provide both the names of the field (in a define-struct), and the type of the field (in a sample make-structname).
      Hint 2: In cases where you don't have more than one piece of information to track, you don't need to introduce any compound-data.
      warning: Make sure that you can distinguish between a shark-jump, and a finale that happens to resolve two threads (they are different). Also, do not try to represent all the above using a single struct -- one which contains a number-of-threads-introduced and a number-resolved and some sort of tag, plus further fields that are only meaningful depending on the tag. That would be sloppy data-modeling4; a shark-jump struct/object houldn't contain fields that are meaningless or are a function of other fields5.

    2. Make five examples of binge-tasks (each different from each other in an interesting way). Give names to them (using define); four suggested names are provided; be sure to provide the close-paren.
      (define finale0 
      
      (define shark0 
      
      (define moral1 
      
      
      (define cliffhanger1 
      
      
      
      (define 
      
      Note that to build examples from our definition, your first example(s) must necessarily be ones that don't contain a remainder-of-the-binge-task.
    3. Write the function count-morals which is given a binge-task, and returns how many (possibly nested) morals it contains.
      (check-expect (count-morals finale0)         )
      (check-expect (count-morals shark0)         )
      (check-expect (count-morals moral1)         )
      (check-expect (count-morals cliffhanger1)         )
      (check-expect (count-morals                         )         )
      You do not need to write the template-for-binge-tasks, but certainly all its steps are required for writing the above function.
    4. Write the function net-unresolved : binge-task -> number
      which returns how many plot threads are introduced, minus how many are resolved.
      Note: If somebody starts a binge-task halfway through, this might be a negative number, if they see a thread resolved that they never saw originally introduced6 .
      (check-expect (net-unresolved finale0)         )
      (check-expect (net-unresolved shark0)         )
      (check-expect (net-unresolved moral1)         )
      (check-expect (net-unresolved cliffhanger1)         )
      (check-expect (net-unresolved                         )         )
        
  6. 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). (my-list-ref 2 (list 'a 'b 'c 'd 'e)) will return 'c. In Java, this function is called List#get(int). Your signature should include a type-variable such as α or T. The pre-condition7 is that the index is less than the length of the list. Of course, do not just call the built-in list-ref; you should follow the data-definition for natural numbers, instead of for lists. (So do not check for the empty-list8.)

    data def: A natural-number is:
    • 0, OR
    • (+ 1 [natural-number])
    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 natnums as recursive data, about viewing sub1 as the getter to pull out the natural-number field, which a positive is built out of.


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 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.      
3 Who'd love to have enough time to binge-watch a show?      
4 Using inheritance would make such an approach more amenable; you'd simply be sure that (say) the constructor for a shark-jump sets its private fields accordingly. But we'll do this without inheritance.      
5 A field which is a function of the other fields is a violation of 2nd Normal Form, in database-speak.      
6 Heck, if the writers resolve a thread that never was introduced, this could be negative?! Our data-definition doesn't preclude that. It would be reasonable to do so (if you want to rule out later writing prequels). However, that property is one that isn't a function of the binge-task itself; it relies on information about binge-tasks that refer to it. Thus the current datatype-definition and its template is not appropriate, or at least not self-contained.      
7 Remember, your code doesn't need to check the pre-condition; if the caller violates it, your code can do whatever it likes — return a wrong answer, throw a (different) exception, run forever. For example, in Java "hello".substring(3,1) throws an exception with the slightly odd message “String index out of range: -2”.      
8 Since passing in an empty-list is a violation of the pre-condition, you don't need to check for it. Software design suggests your code can do anything it likes in this situation; signalling and error message yourself is a nice "extra", but I want to not do that here, to help reinforce how code follows from the data-definition.      

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