X-Git-Url: http://lambda.jimpryor.net/git/gitweb.cgi?p=lambda.git;a=blobdiff_plain;f=assignment3.mdwn;h=e240b732b1405e176d696bbab3c5974a1d125f35;hp=289f818ae60e7652bb41f7adc4d5f2b15d3baf92;hb=HEAD;hpb=2950fbdc81547d95aa8fda13cc3e042ca264e0e6 diff --git a/assignment3.mdwn b/assignment3.mdwn deleted file mode 100644 index 289f818a..00000000 --- a/assignment3.mdwn +++ /dev/null @@ -1,136 +0,0 @@ -Assignment 3 ------------- - -Once again, the lambda evaluator will make working through this -assignment much faster and more secure. - -#Writing recursive functions on version 1 style lists# - -Recall that version 1 style lists are constructed like this (see -[[lists and numbers]]): - - ; booleans - let true = \x y. x in - let false = \x y. y in - let and = \l r. l (r true false) false in - - let make_pair = \f s g. g f s in - let get_fst = true in - let get_snd = false in - let empty = make_pair true junk in - let isempty = \x. x get_fst in - let make_list = \h t. make_pair false (make_pair h t) in - let head = \l. isempty l err (l get_snd get_fst) in - let tail = \l. isempty l err (l get_snd get_snd) in - - ; a list of numbers to experiment on - let mylist = make_list 1 (make_list 2 (make_list 3 empty)) in - - ; church numerals - let iszero = \n. n (\x. false) true in - let succ = \n s z. s (n s z) in - let mul = \m n s. m (n s) in - let pred = (\shift n. n shift (make\_pair 0 0) get\_snd) (\p. p (\x y. make\_pair (succ x) x)) in - let leq = \m n. iszero(n pred m) in - let eq = \m n. and (leq m n)(leq n m) in - - ; a fixed-point combinator for defining recursive functions - let Y = \f. (\h. f (h h)) (\h. f (h h)) in - let length = Y (\length l. isempty l 0 (succ (length (tail l)))) in - - eq 2 2 yes no - - -Then `length mylist` evaluates to 3. - -1. What does `head (tail (tail mylist))` evaluate to? - -2. Using the `length` function as a model, and using the predecessor -function, write a function that computes factorials. (Recall that n!, -the factorial of n, is n times the factorial of n-1.) - - Warning: it takes a long time for my browser to compute factorials larger than 4! - -3. (Easy) Write a function `equal_length` that returns true just in case -two lists have the same length. That is, - - equal_length mylist (make_list junk (make_list junk (make_list junk empty))) ~~> true - - equal_length mylist (make_list junk (make_list junk empty))) ~~> false - - -4. (Still easy) Now write the same function, but don't use the length -function. - -5. In assignment 2, we discovered that version 3-type lists (the ones -that -work like Church numerals) made it much easier to define operations -like `map` and `filter`. But now that we have recursion in our -toolbox, -reasonable map and filter functions for version 1 lists are within our -reach. Give definitions for `map` and a `filter` for verson 1 type -lists. - -#Computing with trees# - -Linguists analyze natural language expressions into trees. - -We'll need trees in future weeks, and tree structures provide good -opportunities for learning how to write recursive functions. -Making use of the resources we have at the moment, we can approximate -trees as follows: instead of words, we'll use Church numerals. -Then a tree will be a (version 1 type) list in which each element is -itself a tree. For simplicity, we'll adopt the convention that -a tree of length 1 must contain a number as its only element. - -Then we have the following representations: - -
-   (a)           (b)             (c)
-    .
-   /|\            /\              /\
-  / | \          /\ 3            1 /\
-  1 2  3        1  2               2 3
-
-[[1];[2];[3]]  [[[1];[2]];[3]]   [[1];[[2];[3]]]
-
- -Limitations of this scheme include the following: there is no easy way -to label a constituent with a syntactic category (S or NP or VP, -etc.), and there is no way to represent a tree in which a mother has a -single daughter. - -When processing a tree, you can test for whether the tree contains -only a numeral (in which case the tree is leaf node) by testing for -whether the length of the list is less than or equal to 1. This will -be your base case for your recursive functions that operate on these -trees. - -
    -
  1. Write a function that sums the values at the leaves in a tree. - -Expected behavior: - - let t1 = (make_list 1 empty) in - let t2 = (make_list 2 empty) in - let t3 = (make_list 3 empty) in - let t12 = (make_list t1 (make_list t2 empty)) in - let t23 = (make_list t2 (make_list t3 empty)) in - let ta = (make_list t1 t23) in - let tb = (make_list t12 t3) in - let tc = (make_list t1 (make_list t23 empty)) in - - sum-leaves t1 ~~> 1 - sum-leaves t2 ~~> 2 - sum-leaves t3 ~~> 3 - sum-leaves t12 ~~> 3 - sum-leaves t23 ~~> 5 - sum-leaves ta ~~> 6 - sum-leaves tb ~~> 6 - sum-leaves tc ~~> 6 - - -
  2. Write a function that counts the number of leaves. - -
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