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91.301 Organization of Programming Languages
Prof. F. Martin
Problem Set 8: Streams and Final Project Exploration
Overview
This problem set introduces streams, which are like lists but where the cdr of a stream is a “promise of delayed evaluation.”
Also, you will explore the PLT Scheme world and look for some interesting libraries you may wish to use in your final project.
Reading
Before doing this problem set, read the following material:
Implementation
Use Module language in Dr. Scheme 4.x for this problem set. Use this streams starter code for completing the work.
Problems
First, some problems on the environment model and mutation. Read Section 3, 3.1, and 3.2.
Problem 1: Exercise 3.1 on pp. 224. After writing and testing the code, draw the environment diagram that would result from evaluating the three statements in the exercise.
Problem 2: Exercise 3.2 on pp. 224-225. After writing and testing the code, draw the environment diagram that would result from evaluating the three statements in the exercise.
Problem 3: Exercise 3.3 on pp. 225, creating a password-protected bank account.
Problem 4: Exercise 3.4 on pp. 225, modifying it to keep track of incorrect password accesses.
Now, the streams stuff.
Problem 5: Use stream-map (pp. 320 of textbook) to define a procedure called convert-temps that takes a stream of temperatures in Fahrenheit and returns a stream of converted temperatures in Celsius. Recall that to convert Fahrenheit to Celsius, the equation is C = 5/9 * (F-32).
Problem 6: Use stream-filter (pp. 322 of textbook) to define the stream of all integers that are evenly divisible by 2, 3, or 5.
Problem 7: Complete the following alternative definition of the integers stream:
(define integers (cons-stream 1 (stream-map <??> integers)))
Problem 8: Exercise 3.51 on pp. 325, examining the delayed evaluation by printing results as they are computed.
Problem 9: Exercise 3.52 on pp. 325–326, delayed evaluation while state is changing.
Problem 10: Exercise 3.53 on pp. 330, thinking about how streams defined in terms of themselves operate.
Problem 11: Exercise 3.54 on pp. 331, implementing factorial with mul-streams, analogous to how Fibonacci is done in the text.
Problem 12: Exercise 3.57 on pp. 332, understanding memo-ization as it applies to the Fibonacci computation.
Final Project Exploration
In this exercise, you will play with at least two different libraries provided by the PLT Scheme developers.
Start off at the PLT Scheme home page, http://plt-scheme.org/
Then there are two places you can go for library code:
- the Documentation link, taking you here: http://docs.plt-scheme.org/
- the PLaneT link, taking you here: http://planet.plt-scheme.org/ (this is user-contributed code)
In the Documentation area, you will find detailed Getting Started guides. The More: Systems Programming with PLT Scheme walks you through building a web server in Scheme from first principles. The Continue: Web Applications in PLT Scheme goes into greater depth with this approach.
If you may be interested in building a web app with Scheme, this would be a good place to start.
Otherwise, have a look at the various other libraries available, including GUI and graphics libraries, networking libraries, and parsing libraries.
Your job is to explore at least two libraries and write up your results. Load the libraries and write some code to drive them around.
For example, if we look at the net/url library, we will find functions for creating URLs, issuing HTTP GET commands, and displaying the results. Here is a little bit of code for driving around a few of the functions in this library:
#lang scheme (require net/url) (define myurl (string->url "http://www.cs.uml.edu/")) (define myport (get-pure-port myurl)) (display-pure-port myport)
Notice that (require net/url) is all you need to put in your buffer in order to load the library and start using it.
This above is a trivial example; to complete this for the purposes of this assignment (if you go down the path of pulling HTTP requests), you should use the parsing libraries to parse the HTML that is returned, and then do something with the results.
To turn in: 2 to 4 pages of interspersed code and narrative explaining what you did.