Lab 5
CSci 127: Introduction to Computer Science
Hunter College, City University of New York
Fall 2018

Today's lab will focus on logical expressions and circuits.

Software tools needed: web browser and Python IDLE programming environment with numpy and matplotlib packages installed.

In-class Quiz

Using Python, Gradescope, and Blackboard

See Lab 1 for details on using Python, Gradescope, and Blackboard.

Logical Expressions

Last week, we introduced decisions (if-statements). These relied on the "test" which was an expression that evaluated to true or false.

We can build up more complicated logical expressions using built-in operators, and, or, and not. A standard way to summaries these operators is with truth tables. A truth table lists all the possible inputs and gives the output for each combination.

For example, here is the truth table for the and operator:

in1	in2	in1 and in2
True	True	True
False	True	False
True	False	False
False	False	False

It lists all the possible combinations of values for the inputs, in1 and in2 and what and would give as output. For example, if in1 is True and in2 is False, the value of in1 and in2 can be read off the last column of the third line of the truth table as False.

Similarly here is the truth table for or:

in1	in2	in1 or in2
True	True	True
False	True	True
True	False	True
False	False	False

For example, if in1 is True and in2 is False, the value of in1 or in2 can be read off the last column of the third line of the truth table as True.

The not operator changes the input from false to true, or true to false. That is, not True is false and not False is true. We can write this in the table format above:

in1	not in1
True	False
False	True

These logical operators are useful building complex tests for our if-statements (as well as other control structures that will be introduced later).

Snow Pack in California

As an example of logical expressions, we will use them to estimate the snow pack level in California over the last drought using satellite imagery.

Landsat Satellite Program is a joint program of USGS and NASA that has provided continuous images of the earth since 1972. The data is publicly available through the USGS-EROS site and has been invaluable in mapping changes in the earth. Today, we will use data images from the USGS remote sensing gallery:

http://remotesensing.usgs.gov/gallery/

The snow pack in the Sierra Nevada mountains provide almost a third of the water used by California. As a first estimate of snow pack, the number of pixels that are (nearly) white are counted. How much change has their been in the Sierra Nevada snowpack during the past drought in California? Here are images from before and during the worst years of the drought:

February 2011	February 2013	February 2014

How much snow is there? We will use the number of pixels that are nearly white as an estimate of the snow. We can add in a new variable, countSnow to keep track of each time a pixel is nearly white. Here's an outline of our program:

1. Import the libraries to manipulate and display arrays.
2. Read in the California image and store in the variable, ca
3. Create a new variable, countSnow, to keep track of the number of pixels that are nearly white.
4. For each element in elevations,
5.         If the pixel is nearly white
6.                 countSnow = countSnow + 1
7. Print out countSnow.

When is a pixel white? It's when the red, green, and blue values are close to 100%. In code, we would have:

t = 0.75    #Threshold for almost white-- can adjust between 0.0 and 1.0

...
for i in range(ca.shape[0]):
    for j in range(ca.shape[1]):
        if (ca[i,j,0] > t) and (ca[i,j,1] > t) and (ca[i,j,2] > t):
             countSnow = countSnow + 1

#Name:  CSci 127 Teaching Staff
#Date:  Fall 2017
#This program loads an image, counts the number of pixels that are
#    nearly white as an estimate for snow pack.

#Import the packages for images and arrays:
import matplotlib.pyplot as plt
import numpy as np


ca = plt.imread('CaliforniaDrought_02232011_md.png')   #Read in image
countSnow = 0            #Number of pixels that are almost white
t = 0.75                 #Threshold for almost white-- can adjust between 0.0 and 1.0

#For every pixel:
for i in range(ca.shape[0]):
     for j in range(ca.shape[1]):
          #Check if red, green, and blue are > t:
          if (ca[i,j,0] > t) and (ca[i,j,1] > t) and (ca[i,j,2] > t):
               countSnow = countSnow + 1

print("Snow count is", countSnow)

This program assumes that you have downloaded and saved CaliforniaDrought_02232011_md.png to the same directory as your program.

How can you modify your program to let the user specify the input file? See Programming Problem List.

Logical Circuits

The logical expressions above are useful not only in designing decisions and selecting data in Python, but the same concept underlies much of the hardware of computers. The and, or, and not can all be simulated in hardware via logic gates. These gates take inputs (usually 0 or 1) and output a value, based on the logical operator it is simulating.

Here is a simulator for circuits. Let's see an and gate in action:

(click to launch new window with circuit builder-- you may need to allow the page to open Flash to see the simulator)

• Try toggling (clicking on) the switches on the left of the canvas. What happens?
• When does the light turn red?
• When does the light turn off?

Try making a circuit with an or gate:

Majority of 3 Inputs

Now, let's build a circuit, or collection of gates, that takes majority of 3 inputs, called in1, in2, in3:

• If two or more of the inputs are True, then your expression should evaluate to True.
• Otherwise (two or more of the inputs are False), then your expression should evaluate to False.

Here's a window for building your circuit (if running from home, you may need to allow the browser to run flash-- what the circuit app uses for graphics). Directions (with images) are below:

Build your circuit as you read the instructions below:

1. The question asks for 3 inputs-- let's use switches since those are easy to test out whether it works.
2. We are going to need to check if any pair of inputs is True. An easy way to do this is to check that:
   • in1 and in2 are both true, or
   • in1 and in3 are both true, or
   • in3 and in3 are both true
   An easy way to do this is to "split the signal" of each input, so, we can use it in multiple places.
   Go to the "Extras" menu (may need to scroll down) and pick up 3 splitters (has 1 input, 3 outputs) and hook one up to each of the inputs:
   .
3. We'll build up our circuits in stages:
   • To check that in1 and in2 are both true, hook both of them up to an and gate (in the Logic ports menu).
   • To check that in1 and in3 are both true, hook both of them up to an and gate (in the Logic ports menu).
   • To check that in2 and in3 are both true, hook both of them up to an and gate (in the Logic ports menu).
   
   You can check the wiring by toggling any two switches-- when you toggle the first and the second, the wires going to the first and gate should be highlighted in green. Check the first and the third, and second and third as well, to make sure all is connected right.
4. We have each of the three things done in our to-do list above. The list is connected by "or", so, we need to do the same with our outputs:
   .
5. And lastly, let's add an output light that will glow when true:
   

• if two or more switches are on, is the output light on?
• if two or more switches are off, is the output light off?

Translating Logical Circuits to Logical Expressions

Our last gate is an or, so we will write down an or

	(lotsOfStuff1) or (lotsOfStuff2)

	((lotsOfStuff3) or (lotsOfStuff4)) or (lotsOfStuff2)

	(((lotsOfStuff5) and (lotsOfStuff6)) or (lotsOfStuff4)) or (lotsOfStuff2)

	((in1 and (lotsOfStuff6)) or (lotsOfStuff4)) or (lotsOfStuff2)

	((in1 and in2) or (lotsOfStuff4)) or (lotsOfStuff2)

	((in1 and in2) or (in1 and in3)) or (lotsOfStuff2)

	((in1 and in2) or (in1 and in3)) or (in2 and in3)

#Name: Your name here
#Date: 16 October 2017
#Program #23:  Computes the majority of 3 inputs

out = ((in1 and in2) or (in1 and in3)) or (in2 and in3)

More Exotic Gates

In addition the and, or, and not gates, there are several other standard gates. For each, we can build a circuit using just and, or, and not gates that gives the same output.

What does a nor gate do?

Toggle the inputs to figure out what the gate does.

Now, build a circuit that has the same behavior as a nand gate (i.e. for the same inputs, both give identical output) using only and, or, and not gates.

When you have the answer, label your inputs in1 and in2, save the answer in a file:

#Name: Your name here
#Date: 16 October 2017
#Program #23:  Computes NAND of two inputs, using only AND, OR, and NOT gates

out = ...

More on the Command Line Interface: Absolute Paths

Last lab, we introduced relative paths for navigating the directories via the shell. Relative paths (e.g. cd ../) used the current location when executing. We can also use absolute paths that are independent of your location. For example,

    cd /usr/bin
    pwd
    ls

Since it is nice to be able to return to your default, or home directory, there is a built-in short-cut for home (~). Try

    cd ~
    pwd
    ls

Next lab, we will introduce scripts, or files of shell commands, that we can execute at the command line.

What's Next?

If you finish the lab early, now is a great time to get a head start on the programming problems due early next week. There's instructors to help you, and you already have Python up and running. The Programming Problem List has problem descriptions, suggested reading, and due dates next to each problem.