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EECS 110: Lec 7: Program Planning

EECS 110: Lec 7: Program Planning. Aleksandar Kuzmanovic Northwestern University. http://cs.northwestern.edu/~akuzma/classes/EECS110-s09/. EECS 110 Today. Computing to the max. The not-so-subtle art of singling out the best (and worst) of anything…. Hw #3 due Sunday….

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EECS 110: Lec 7: Program Planning

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  1. EECS 110: Lec 7: Program Planning Aleksandar Kuzmanovic Northwestern University http://cs.northwestern.edu/~akuzma/classes/EECS110-s09/

  2. EECS 110 Today Computing to the max The not-so-subtle art of singling out the best (and worst) of anything… Hw #3 due Sunday… Lights On!for fun and safety How to break apart a tough problem

  3. Notes from prior hwks… Warnings! def rps(p1,p2): """ rock-paper-scissors judger """ if 'p1' == 'p2': return 0 def rps(p1,p2): if p1 == p2: return '0' def letterscore(let): if let in 'zq': return 10 …(lots more)…

  4. Notes from prior hwks… Warnings! def rps(p1,p2): """ rock-paper-scissors judger """ if 'p1' == 'p2': return 0 The string 'p1' is not the same as the variable p1 ! def rps(p1,p2): """ rock-paper-scissors judger """ if p1 == p2: return '0' The string '0' is not the same as the number 0 ! no docstring! def letterscore(let): if let in 'zq': return 10 …(lots more)… Capital letters count! (It should be letterScore.)

  5. What CS is really about thinking like a machine variables 42 storage int guess sequences 'w' 'a' 'r' 't' str s[1] str s[2] str s[3] str s[0] if…elif…else making decisions “high” or “low” recursion repeated actions

  6. What CS is really about thinking like a machine thinking for a machine variables library 42 storage int guess deciding how to use these tools sequences functions 'w' 'a' 'r' 't' str s[1] str s[2] str s[3] str s[0] creating your own tools ... if…elif…else classes making decisions creating your own data structures ... “high” or “low” (later) recursion repeated actions

  7. Top-down program design Given: a description of the problem translation! Wanted: a function that solves it

  8. Top-down program design Given: a description of the problem translation! Wanted: a function that solves it with as much detail as possible 1. Visualize what the program will do 2. Break up the work into a set of smaller tasks 3. Compose solutions for these tasks (functions) variables, lists, if…elif…else, recursion • What do you need for each? • Are these tasks still too big? if so, go to step 1… 1. Visualize what the function will do ...

  9. Top-down program design Given: a description of the problem translation! Wanted: a function that solves it with as much detail as possible 1. Visualize what the program will do 2. Break up the work into a set of smaller tasks How to do this… 3. Compose solutions for these tasks (functions) variables, lists, if…elif…else, recursion • What do you need for each? • Are these tasks still too big? if so, go to step 1… 1. Visualize what the function will do ...

  10. Monte Carlo Monty Hall Suppose you always switch to the other door... What are the chances that you will win the car ? Run it (randomly) 1000 times and see! How can we write MCMH?

  11. Monte Carlo Monty Hall How can we write MCMH? What is the input/output of your function? What data do we need to keep track of?

  12. Monte Carlo Monty Hall How can we write MCMH? What specific actions does your function need to take?

  13. Monte Carlo Monty Hall How can we write MCMH? Put it all together into an algorithm…

  14. Monte Carlo Monty Hall Then translate the algorithm to code! def MCMH( init, sors, N ): """ plays the same "Let's make a deal" game, N times returns the number of times you win the car """ if N == 0: return 0 # don't play, can't win carDoor = choice([1,2,3]) # where is the car? if init == carDoor and sors == 'stay': result = 'Car!' elif init == carDoor and sors == 'switch': result = 'Spam.' elif init != carDoor and sors == 'switch': result = 'Car!' else: result = 'Spam.' print 'You get the', result if result == 'Car!': return 1 + MCMH( init, sors, N-1 ) else: return 0 + MCMH( init, sors, N-1 )

  15. Sorting a List Sorting a List What is the input/output of the function? What data do we need to keep track of?

  16. Sorting a List Sorting a List If we had an easy way to find the maximum of the list, how could we use this to sort the list?

  17. Taking only one… def removeOne( e, L ): """ this function removes one element e from the top level of the list L """ if len(L) == 0: return L # L is empty elif e == L[0]: return L[1:] # remove this one else: return L[0:1] + removeOne(e,L[1:]) # keep the non-e element and then keep going removeOne(42, [5,7,42,8,42]) removeOne('p', 'computer programming') 'comuter programming' [5,7,8,42]

  18. max A recipe for life ? and python already has it for us… The hard part is knowing what we want to maximize!

  19. Google Inc to themax If we want the highest price… max( [449.5, 580.0, 562.4, 481.3, 498.3, 414.5] ) 'apr' 'may' 'jun' 'jul' 'aug' 'sep' What if the months are in there, as well? max([ [449.5,'apr'], [580.0,'may'], [562.4,'jun'], [481.3,'jul'], [498.3,'aug'], [414.5,'sep'] ])

  20. "Best" word def scrabbleScore(w): # see homework #1! Let's abbreviate this function as scsc(w) def bestWord( L ): """ finds the "best" word from L, a list of words here, "best" means highest scrabble score """

  21. "Best" word def scrabbleScore(w): # see homework #1! Let's abbreviate this function as scsc(w) def bestWord( L ): """ finds the "best" word from L, a list of words here, "best" means highest scrabble score """ if len(L) < 2: return elif return else: return

  22. "Best" word def scrabbleScore(w): # see homework #1! Let's abbreviate this function as scsc(w) def bestWord( L ): """ finds the "best" word from L, a list of words here, "best" means highest scrabble score """ if len(L) < 2: return L[0] elif scsc(L[0]) < scsc(L[1]): return bestWord( L[1:] ) else: return bestWord( L[0:1] + L[2:] )

  23. A suggestion def scrabbleScore(w): # see homework #1! Let's abbreviate this function as scsc(w) def bestWord( L ): """ returns the word in L w/max scrabble score """ LOL = [ [scsc(w), w] for w in L ] # LOL bestPair = max( LOL ) return bestPair

  24. The last word on bestWord def scrabbleScore(w): # see homework #1! Let's abbreviate this function as scsc(w) using raw recursion def bestWord( L ): """ finds the "best" word from L, a list of words here, "best" means highest scrabble score """ if len(L) < 2: return L[0] elif scsc(L[0]) < scsc(L[1]): return bestWord( L[1:] ) else: return bestWord( L[0:1] + L[2:] ) using max def bestWord( L ): """ returns the word in L w/max scrabble score """ LOL = [ [scsc(w), w] for w in L ] bestPair = max( LOL ) return bestPair

  25. Examples >>> bestNumber( [ 10, 20, 30, 40, 50, 60, 70 ] ) 40 >>> bestNumber( [ 100, 200, 300, 400 ] ) 100 >>> bestNumber( [ 1, 2, 3, 4, 5, 6, 7, 8, 7 ] ) 8 >>> mode( [ 1, 2, 3, 4, 5, 6, 7, 8, 7 ] ) 7 What is bestNumber ? mode ?

  26. "Quiz" Name(s): Nothing but the best! abs( x ) is built-in to Python Hints: Use bestWord as a guide: Write this function usingmax/min or recursively: def bestWord( L ): """ example code """ LOL = [ [scsc(w), w] for w in L ] bestPair = max( LOL ) return bestPair def bestNumber( L ): """ returns the # in L closest to 42 """ Hint: Write this function however you like: Consider defining a helper function ! def mode( L ): """ returns the element appearing most often in L """

  27. "Quiz" abs( x ) is built-in to Python Hints: Solutions… Use bestWord as a guide: def bestWord( L ): """ example code """ LOL = [ [scsc(w), w] for w in L ] bestPair = max( LOL ) return bestPair Write this function usingmax/min: def bestNumber( L ): """ returns the # in L closest to 42 ""“ LOL = [ [abs(w-42), w] for w in L ] bestPair = min( LOL ) return bestPair[1]

  28. "Quiz" Solutions… Hint: Write this function however you like: Consider defining a helper function ! def numberOfTimes( w, L ): """ returns the # in times w repeats in L """ return sum([k==w for k in L]) def mode( L ): """ returns the element appearing most often in L """ LOL = [[numberOfTimes(w,L),w] for w in L] returnmax(LOL)[1]

  29. sort(L) def sort( L ): """ a list of elements in L, sorted from hi to low """ if len(L) < 1: return L else:

  30. sort(L) def sort( L ): """ a list of elements in L, sorted from hi to low """ if len(L) < 1: return L else: return [max(L)] + sort(removeOne( max(L), L ))

  31. sort(L, maxFun) def sort( L, maxFun ): """ a list of elements in L, sorted using maxFun """ if len(L) < 1: return L else: return

  32. sort(L, maxFun) def sort( L, maxFun ): """ a list of elements in L, sorted using maxFun """ if len(L) < 1: return L else: return [maxFun(L)] + sort(removeOne( maxFun(L), L )) Will this work?

  33. sort(L, maxFun) def sort( L, maxFun ): """ a list of elements in L, sorted using maxFun """ if len(L) < 1: return L else: return [maxFun(L)] + sort(removeOne( maxFun(L), L ), maxFun)

  34. sort(L, maxFun) def sort( L, maxFun ): """ a list of elements in L, sorted using maxFun """ if len(L) < 1: return L else: return [maxFun(L)] + sort(removeOne( maxFun(L), L ), maxFun) What happens if you call >>>sort( L, min )

  35. See you in Lab !

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