CSCI 150: Lab 8

The purpose of this lab is to:

• Implement a sorting algorithm.
• Practice with Sets and Dictionaries.
• Work on reading from files and string manipulation.
• Do fun stuff with words.

    score = {}                         # set score to be an empty dictionary
    score = {"adam": 17, "roberto": 4}# set score to be a dictionary with two key-value pairs
    score["roberto"]                   # 4
    score["bob"]                       # error (key not found)
    "bob" in score                     # False
    score["bob"] =  42                 # adds key "bob" with value 42
    score["roberto"] =  18             # updates value for key "roberto" to 18
    "bob" in score                     # True
    del score["adam"]                  # remove key "adam" and its value
    list(score.keys())                 # returns a list of the keys ["roberto", "bob"]
    len(score)                         # 2 (number of keys in score)
    for k in score:                    # iterates over the keys in score
                  

Distilling Text

distill.py: 18 points

     Question:
     Whether nobler mind suffer
     Slings arrows outrageous fortune
     Take arms against sea troubles
     By opposing them.
                

     To be, or not to be -- that is the question:
     Whether 'tis nobler in the mind to suffer
     The slings and arrows of outrageous fortune
     Or to take arms against a sea of troubles
     And by opposing end them.
                

The former was produced by finding the 30 most commonly used words in the speech (only some of which is shown above) and removing them. Your first challenge is to write a program called distill.py that prompts the user for the name of a text file and a number n, and prints the contents of that text file with the n most common words removed.

Program Outline

The details of implementing a solution are up to you, but here is a suggested outline of how to approach the problem. As usual, think about the 6 steps of program development, and test each piece as you go.

1. Read in a text document. Here are two for you to try: hamlet.txt, lincoln.txt.
   
   
2. Create a dictionary wordcount to keep track of the word counts for the given text file. That is, the keys in your dictionary should be strings (the words) and the value for a given key should indicate how often that word appeared.
   
   
3. Once you've built the dictionary, implement your own version of insertion sort (or selection sort or bubble sort) to build a list called sortcount of word-count pairs (as tuples), sorted by word frequency, with the most common words first. For example, the first portion of the sortcount for hamlet.txt looks like [('the', 20), ('to', 15), ('of', 15), ('and', 12), ('that', 7),....
   
   
4. Create a list commonwords by dropping all but the highest n elements of sortcount and only copying the word part of each pair (we don't need the counts any more). Continuing with the previous example, commonwords would become ['the', 'to', 'of', 'and', 'that',...].
   
   
5. Reopen the original text document, and print each word so long as it doesn't appear in commonwords.

Suggestions and Tips

• Recall that to read in a text file as a single string, you can use

  
      textfile = open(filename, "r"")
      textstring = textfile.read()
                    

• The string function split() returns a list of all the "words" in a string, where "words" are substrings that don't contain whitespace.
  
  
• Since you want to identify all the strings that look like "for", "For", "for,", etc. as the same string, it may be helpful to write a function called cleanstring that takes in a string, and returns a version of that string with lowercase letters and all punctuation removed. Testing if a character is punctuation isn't too hard: you can write
  

  
      if ch in ".,:;'\"\n"
                    

  for example, to test whether ch is a comma, period, colon, semi-colon, single quote, double quote, or newline. Of course, there may be other punctuation you want to check for as well (hint: string.punctuation in the string module might be very helpful!). To make all alphabetic characters lowercase, use the string function lower().
  
  
• When you're deciding whether to print a word or not, you'll want to look at the "cleaned" version, but you may want to print the original version.
  
  
• Try to preserve newlines, punctuation and capitalization in your output. The exact details of how to handle these cases is left up to you (for example, you might want to capitalize the first character of each new line, or drop words that don't contain any letters, such as "--").
  
  
• Keep in mind that your output may differ slightly due to ties in word counts.

    team = set()                       # makes a set with 0 elements
    team = {"adam", "roberto""}        # makes a set with 2 elements
    len(team)                          # 2 
    team.add("bob")                    # adds "bob" to team
    team.remove("adam")                # removes "adam" from the team
    for p in team :                    # iterates through elements of team
    "bob" in team                      # True
    "jackie" in team                   # False
    "sam" not in team                  # True
                  

Anagrams

anagrams.py: 20 points

An anagram is just a rearrangement of the letters in the word to form another word or words. For example, if you rearrange the letters in

    oberlin student 
                

    let none disturb 
                

   
    intends trouble
                

For this part of the assignment, you'll be writing a program called anagrams.py to generate your own anagrams. To decide which anagrams are at least plausibly interesting, your program will have to decide which strings are legitimate words. Your program should prompt the user for a file containing a word list, and a word for anagrammating.

Program Outline

1. Read in a text document containing a word list. Here are two: words1.txt, words2.txt. The first is very small, just for testing purposes. The second contains about 4000 common words. Even for relatively short strings, we'll need to use some optimizations if we want to generate anagrams using that word list.
   
   
2. Build a set words containing each word from the text file. Since we have a lot of words, by using a set rather than a list will save us a lot of time when testing membership (which is basically all we'll be using it for).
   
   
3. Create a function called contains(s, word) which returns two values. The first value should be a boolean indicating whether the string s contains the letters necessary to spell word. If the answer is True, the second value should be what remains of word after the letters in s have been removed. If the answer is False, the second value returned should just be an empty string. For example,
   
   

   
     	contains("zombiepig", "bozo")        # returns False, ""
     	contains("zombiepig", "biz")         # returns True, "omepig"
                   	

4. Create a recursive function called grams(s, words, sofar) that takes in a string s, a set of words words, and a list of words sofar. This function finds all anagrams of s using elements found in words. Each of these anagrams is printed, along with the words in sofar, on its own line.
   
   

   You might be wondering why we're passing around the variable sofar. Indeed, when we want to find the anagrams of a string given by the user, we'll pass in an empty list. However, that list will be critical for making use of recursion. Let's look at an example to see why. Suppose we want to find anagrams of

      
         robopirate 
                   	

   We'll look through our wordlist for words that are contained in this string. The string "cat" doesn't appear in "robopirate", but "air" does. So one thing our function call will do is begin looking through the remainder of "robopirate" with "air" removed, looking for further anagrams. That is, it'll continue to look for strings contained in
   
   

       	robopte
               	    

   Our list includes "bro", which is contained in "robopte", so another recursive call will be made on the remains, namely "opte". Our wordlist contains "poet", leaving us with an empty string. At this point we've used up all the letters in the string, so we have an anagram, namely
   
   

         air bro poet 
                     

   Unfortunately, if we want to print our anagram, we're in trouble, since we haven't kept a record of the previous words we found. That's where sofar comes in. This list will track the words we've found so far in this particular branch of the recursion. That is,
   
   

   
         grams("robopirate", words, [])
                     

   will call (among other things)
   
   

   
     	  grams("robopte", words, ["air"]) 
                   	

   which in turn calls
   
   

   
     	  grams("opte", words, ["air", "bro"]) 
                   	

   which in turn calls
   
   

   
     	  grams("", words, ["air", "bro", "poet"]) 
                   	

   which can now print the complete anagram.

   With this in mind, we're ready to describe the overall structure of this function. We loop over every word w in our wordlist. For each word w that's found in our string s, we make a recursive call on the remainder of s, and with a new list, equal to the current list with w added on. If we make a call where s is the empty string, we can just print the contents of sofar.

Suggestions and Tips

• When trying to determine whether one string s contains a word w, the string replace function is very useful. In particular,
  
  

  
    	  s.replace(ch,'',1) 
                  	

  creates a new string that is identical to s except the first occurence (parameter 3) of ch (parameter 1) is replaced by the empty string (parameter 2).
  
  
• When printing a list of strings, the string join function is pretty handy:
  
  

  
      	" ".join(L) 
                  	

  returns a new string containing every element of the list L, glued together with a space. Of course, you could join the elements with any string, but a space makes the most sense here.
  
  

Test output

      or bro rat bat air ape poet poor ripe taboo orbit
                

     or ape orbit
     or orbit ape
     bro air poet
     bro poet air
     air bro poet
     air poet bro
     ape or orbit
     ape orbit or
     poet bro air
     poet air bro
     orbit or ape
     orbit ape or
                

Improvements (Extra Credit)

• 3 pts. Things slow down a lot when we have longer word lists. One nice optimization makes use of the following observation: if the user's string s doesn't contain a particular word w, then no remainder of s will contain w either. So instead of iterating through the set of all words at each step of the recursion, we need only iterate through the "plausible" words.

  Add a "preprocessing" step: Instead of adding every string found in the word file to the set words, only add those that are contained in the user's input string. Fortunately you already have created a function that can help you out here!

• 3 pts. Let the user specify a minimum length of words allowable in their anagrams.
  
  
• 3 pts. Let the user specify a maximum number of words allowable in their anagrams.
  
  
• 3 pts. Have all parameters (the string, the word file, min length, and max words) input via command line arguments. In particular, we'd like to be able to type in the Terminal:
  
  

            python3 anagrams.py robopirate words1.txt 3 4
                    

  to annagramate "robopirate" using words from words1.txt, require at least 3 characters per words, and allow at most 4 words per anagram, or
  
  

            python3 anagrams.py robopirate words2.txt 2 10
                    

  to annagramate "robopirate" using words from words2.txt, require at least 2 characters per words, and allow at most 10 words per anagram.
  
  How can your program make use of the arguments you add after the program name? Easy -- if you add import sys at the beginning of your program, you'll get access to the variable sys.argv, which is a list of the arguments passed to Python. The first of these is always the name of the program itself. But if you were to run
  
  

            python3 anagrams.py robopirate words2.txt 2 10
                    

  and that program included the statement print(sys.args), we'd get as output
  
  

            ['anagrams.py', 'robopirate', 'words2.txt', '2', '10']
                    

  Given this (and possibly judicious use of the int function), you should be able to get all the input you need from command-line arguments.
  
  Remember to use exceptions to handle invalid user input.

Wrap Up

As with every lab, your last job prior to submission is to complete a brief write-up by filling out a Google Form.

Handin

You now just need to electronically handin all your files. As a reminder

 
    cd             # changes to your home directory
    cd cs150       # goes to your cs150 folder
    handin         # starts the handin program
                    # class is 150
                    # assignment is 8
                    # file/directory is lab08
    lshand         # should show that you've handed in something
                

You can also specify the options to handin from the command line

 
    cd ~/cs150     # goes to your cs150 folder
    handin -c 150 -a 8 lab08
                

File Checklist

   distill.py
   anagrams.py
   words1.txt (for ease of grading)
   words2.txt (for ease of grading)