- Objectives
- Introduction
- Continuous Learning
- Assignment Reminders
- Accessing the Assignment
- Practical Assignment Tasks
- Automated Checks with GatorGrader
- Assignment Assessment
- Advance Feedback on an Assignment
- Discussion of a Graded Assignment
- Additional Resources
The learning objectives for this practical assignment are as follows:
- To configure Git and GitHub on your laptop and on the GitHub servers
- To transfer files from your laptop to your GitHub repository
- To use your text editor to manipulate code blocks in a Markdown file
- To use your text editor to manipulate code blocks in a Python file
- To use a Docker container to run the automated checks performed by GatorGrader
- To use a terminal window to run a Python program and observe its output
- To use a text editor and a terminal window to add functions to a Python program
- To use a terminal window to run test cases in a Pytest test suite
- To practice translating a mathematical equation to its implementation in a Python program
Designed for use with GitHub Classroom and
GatorGrader, this repository
contains a practical assignment for an introductory computer science class that
uses the Python programming language. The source code and technical writing for
this assignment must pass tests set by the GatorGrader
tool. When you use the git commit
command to transfer your source code to your GitHub repository, GitHub
Actions will initialize a build of your assignment, checking to see if it meets
all of the requirements. If both your source code and writing meet all of the
established requirements, then you will see a green ✔ in the listing of commits
in GitHub. If your submission does not meet the requirements, a red ❌ will
appear instead. Please note that, at the option of the course instructor, some
checks may be run in GitHub Actions that are not run locally by the GatorGrader
tool.
If you have not done so already, please read all of the relevant GitHub Guides that explain how to use many of the features that GitHub provides. In particular, please make sure that you have read the following GitHub guides: Mastering Markdown, Hello World, and Documenting Your Projects on GitHub. Each of these guides will help you to understand how to use both GitHub and GitHub Classroom.
Students who want to learn more about how to use Docker should review the Docker Documentation. Students are also encouraged to review the documentation for their text editor, which is available at VS Code. You should also review the Git documentation to learn more about how to use the Git command-line client. In addition to talking with the instructor and technical leader for your course, students are encouraged to search StackOverflow for answers to their technical questions.
As outlined in the course schedule in the course planning repository, students should also read all of the assigned readings for up to and including the week of the semester on which this practical assignment was assigned.
-
Follow each step carefully. Slowly read each sentence in this document, making sure that you precisely follow each instruction. Take notes about each step that you attempt, recording your questions and ideas and the challenges that you faced. If you are stuck, then please tell a technical leader or the course instructor what assignment step you recently completed.
-
Regularly ask and answer questions. Please log into Slack at the start of the practical session and then join the appropriate channel. If you have a question about one of the steps in an assignment, then you can post it to the designated channel, discussing your questions through both Slack and the Google Meet designated for the class.
-
Store your files in GitHub. Starting with this practical assignment, you will be responsible for storing all of your files (e.g., Python source code and Markdown-based writing) in a Git repository using GitHub Classroom. Please verify that you have saved your source code in your Git repository by using
git status
to ensure that everything is updated. You can see if your assignment submission meets the established correctness requirements by using the provided checking tools on your local computer and by checking the commits in GitHub. -
Keep all of your files. Don't delete your programs, output files, and written reports after you submit them through GitHub; you will need them again when you study for the course assessments and work on the other practical, practical, and technical challenge assignments.
-
Hone your technical writing skills. Computer science assignments require to you write technical documentation and descriptions of your experiences when completing each task. Take extra care to ensure that your writing is interesting and both grammatically and technically correct, remembering that computer scientists must effectively communicate and collaborate with their team members and the student technical leaders and course instructor.
-
Review the Honor Code on the syllabus. While you may discuss your assignments with others, copying source code or technical writing is a violation of Allegheny College's Honor Code.
To access this assignment, you should go into the #announcements
channel in
our Slack workspace and find the announcement that provides a link for it. Copy
this link and paste it into your web browser. Now, you should accept the
practical assignment and see that GitHub Classroom created a new GitHub
repository for you to access the assignment's starting materials and to store
the completed version of your assignment. Specifically, to access your new
GitHub repository for this assignment, please click the green "Accept" button
and then click the link that is prefaced with the label "Your assignment has
been created here". If you accepted the assignment and correctly followed these
steps, you should have created a GitHub repository with a name like
Allegheny-Computer-Science-102-Fall-2020/computer-science-102-fall-2020-practical-1-gkapfham
.
Unless you provide the course instructor with documentation of the extenuating
circumstances that you are facing, not accepting the assignment means that you
automatically receive a failing grade for all of its components.
Before you move to the next step of this practical assignment, please make
sure that you read all of the content on the web site for your new GitHub
repository, paying close attention to the technical details about the commands
that you will type and the output that your program must produce. Now you are
ready to download the starting materials to your practical computer. Click the
"Clone or download" button and, after ensuring that you have selected "Clone
with SSH", please copy this command to your clipboard. To enter into your
course directory directory you should now type cd cs102F2020
. Next, you can
type the either ls
(on either MacOS or Linux) or dir
(on Windows 10 Pro or
Windows 10 Enterprise) and see that there are no files or directories inside of
this directory. By typing git clone
in your terminal and then pasting in the
string that you copied from the GitHub site you will "download" all of the code
for this assignment. For instance, if the course instructor ran the git clone
command in the terminal, it would look like:
git clone [email protected]:Allegheny-Computer-Science-102-F2020/computer-science-102-fall-2020-practical-1-gkapfham.git
After this command finishes, you can use cd
to change into the new directory.
If you want to "go back" one directory from your current location, then you can
type the command cd ..
. Finally, please continue to use the cd
and ls
commands to explore the files that you automatically downloaded from GitHub. If
one of the aforementioned commands does not work correctly, then it is possible
that your terminal window is not up-to-date or not configured correctly. In this
case, please share your specific error messages with the instructor, ultimately
working to master the use of terminal commands. What files and directories do
you see? What do you think is their purpose? Spend some time exploring, telling
your discoveries to a student technical leader.
If you have not done so already, then, in order to implement a full-fledge
Python program, you need to install the Poetry
tool for dependency management and packaging
of Python programs. After ensuring that you have Python 3.8 installed on your
laptop through Pyenv, please follow the installation instructions for Poetry.
For instance, you are using either MacOS or Linux you need to type the
following command in your terminal window curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python
. Importantly, this command will only work if you have already installed
a program called curl
. If you are using Windows 10 Pro then you will need to
follow the PowerShell installation instructions on Poetry's web site.
Now, making sure that you are in your "home base" directory for this practical
assignment, you need to install the dependencies for the converter
program
that you will implement, debug, and observe. To complete this step you need to
type cd converter
and then poetry install
. What output did this command
produce? What do you think that this step did? Why is important to type these
commands? Make sure that you know the answers to these question before moving
onto the next step of the assignment.
After you have reviewed the structure of the provided Python source code and
reviewed the content in Doing Math with Python, you are ready to provide an
implementation of the functions called
convert_celsius_to_fahrenheit(temperature: float)
and
convert_fahrenheit_to_celsius(temperature: float)
. As you implement these
functions, your job is to ensure that they perform the requested function based
on their name and their input temperature.
For instance, the function with the
name convert_celsius_to_fahrenheit
should convert the provided temperature
in Celsius to Fahrenheit. Once your function performs the correct conversion of
the provided temperature, it should return that temperature so that it can be
used by other functions inside of the Python program. Before you move onto the
next step of this assignment, please make sure that you review the
implementation of the convert_temperature
function. Can you explain the
purpose of this function? How does this function use the
units.TemperatureUnitOfMeasurement
enumeration defined in a separate Python
file?
If you look in the Python file called converter/tests/test_convert.py
you will
see that it contains several test cases that call the functions in the Python
program in an attempt to ensure that they are working correctly. Please take
time to review each of these test cases and work to understand how they are
testing the functions in the file called convert.py
. Importantly, please make
sure to notice that some of the test cases in the test suite contain assertions
of the form assert converted_temperature == 32
while other tests have
assertions of the form assert converted_temperature == approx(80, rel=1e-3)
.
Can you explain why different test cases need to have different types of
assertions? Finally, if your Python program is correct, you should be able to
run the test suite by typing poetry run pytest
and see that it produces the
following output:
=========================== test session starts ============================
platform linux -- Python 3.8.5, pytest-5.4.3, py-1.9.0, pluggy-0.13.1
rootdir: /home/gkapfham/working/teaching/github-classroom/Allegheny-Computer-Science-102-F2020/solutions/cs102-F2020-practical1-solution/converter
collected 8 items
tests/test_convert.py ........ [100%]
============================ 8 passed in 0.02s =============================
Once you have finished both of the previous technical tasks, use your text
editor to answer all of the questions in the writing/reflection.md
file. For
instance, you should provide the output of the Python program in a fenced code
block, explain the meaning of the three provided commands, and answer all of the
other questions about your experiences in completing this practical assignment.
In addition to meeting all of the requirements outlined in this assignment sheet, your submission must pass the following checks that GatorGrader automatically assesses:
If GatorGrader's automated
checks pass correctly, the tool will produce the output like the following in
addition to returning a zero exit code (which you can access by typing the
command echo $?
). You will need to run
GatorGrader in a Docker
container by following the steps in the Using Docker section.
- The command
cd converter; poetry install; poetry run python converter --from-unit Fahrenheit --to-unit Celsius --temperature 32; cd ..
executes correctly - The
convert.py
in converter/converter has at least 4 multiple-line Python comment(s) - The
convert.py
in converter/converter has at least 4 single-line Python comment(s) - The
convert.py
in converter/converter has exactly 0 of theTODO
fragment - The
convert.py
in converter/converter has exactly 1 of thefrom converter import units
fragment - The file
convert.py
exists in the converter/converter directory - The file
__main__.py
exists in the converter/converter directory - The file
reflection.md
exists in the writing directory - The file
test_convert.py
exists in the converter/tests directory - The
__main__.py
in converter/converter has at least 2 multiple-line Python comment(s) - The
__main__.py
in converter/converter has at least 4 single-line Python comment(s) - The
__main__.py
in converter/converter has exactly 0 of theTODO
fragment - The
reflection.md
in writing has at least 3 of thecode
tag - The
reflection.md
in writing has at least 400 word(s) in total - The
reflection.md
in writing has exactly 0 of theAdd Your Name Here
fragment - The
reflection.md
in writing has exactly 0 of theTODO
fragment - The
reflection.md
in writing has exactly 1 of thelist
tag - The
reflection.md
in writing has exactly 3 of thecode_block
tag - The
reflection.md
in writing has exactly 8 of theheading
tag - The repository has at least 5 commit(s)
- The
test_convert.py
in converter/tests has at least 9 multiple-line Python comment(s) - The
test_convert.py
in converter/tests has exactly 0 of theTODO
fragment - The
test_convert.py
in converter/tests has exactly 1 of thefrom converter import units
fragment - The
test_convert.py
in converter/tests has exactly 1 of thefrom pytest import approx
fragment
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Passed 24/24 (100%) of checks for cs102-F2020-practical1! ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
Again taking inspiration from the principles of specification-based grading, the grade that a student receives on either a practical assignment or a technical challenge will be based on whether or not it meets the standards for technical work in the fields of software engineering and discrete structures as evidenced by:
- GitHub Actions Build Status of Either ✔ or ❌: Your work will receive a ✔ if the last before-the-deadline build in GitHub Actions passes and a ✔ appears in the GitHub commit log instead of an ❌. The build status reported by GitHub Actions will only be a ✔ if the Python source code and technical writing in the GitHub repository pass all of both the GatorGrader checks and any additional checks.
Students who wish to receive feedback on their work for any course assignment should first open an issue on the issue tracker for their assignment's GitHub repository, giving an appropriate title and description for the type of feedback that you would like the course instructor to provide. After creating this issue, you will see that GitHub has created a unique web site that references it. To alert the course instructor to the fact that the issue was created and that you want feedback on your work, please send it to him by a Slack direct message at least 24 hours in advance of the project's due date. After the instructor responds to the issue, please resolve all of the stated concerns and participate in the discussion until the issue is resolved and ultimately marked as closed.
Students who wish to receive feedback on their work for any graded course assignment should leave question in the same region of Github where the course instructor submitted the assignment's grade. For example, if the instructor submits your grade to a pull request in your repository for a practical assignment, then you should ask questions about your grade in that pull request, bearing in mind the need to @-mention the course instructor in the body of your comment. Students can continue to discuss the graded assignment with the course instructor until they understand all the technical topics that were the focus of the particular assignment.
This project invites students to enter system commands into a terminal window.
This assignment uses Docker to deliver programs, such
as gradle
and the source code and packages needed to run
GatorGrader, to a students'
computer, thereby eliminating the need for a programmer to install them on their
development workstation. Individuals who do not want to install Docker can
optionally install of the programs mentioned in the Project
Requirements section of this document.
Once you have installed Docker
Desktop, with MacOS and Linux
you can use the following docker run
command to start gradle grade
as a
containerized application, using the
DockaGator Docker image available
on
DockerHub.
docker run --rm --name dockagator \
-v "$(pwd)":/project \
-v "$HOME/.dockagator":/root/.local/share \
gatoreducator/dockagator
The aforementioned command will use "$(pwd)"
(i.e., the current working
directory) as the project directory and "$HOME/.dockagator"
as the cached
GatorGrader directory. Please note that both of these directories must exist,
although only the project directory must contain something. Generally, the
project directory should contain the source code and technical writing for this
assignment, as provided to a student by the instructor through GitHub.
Additionally, the cache directory should not contain anything other than
directories and programs created by DockaGator, thus ensuring that they are not
otherwise overwritten during the completion of the assignment. To ensure that
the previous command will work correctly, you should create the cache directory
by running the command mkdir $HOME/.dockagator
on the MacOS and Linux
operating systems. However, if you are using the Windows operating system then
you will instead need to type the command mkdir %HomeDrive%%HomePath%/.dockagator
. Finally, if the above docker run
command
does not work correctly on the Windows operating system, you may need to instead
run the following command to adapt to the differences in the cmd
terminal
window:
docker run --rm --name dockagator \
-v "%cd%:/project" \
-v "%HomeDrive%%HomePath%/.dockagator:/root/.local/share" \
gatoreducator/dockagator
Here are some additional commands that you may need to run when using Docker:
docker info
: display information about how Docker runs on your workstationdocker images
: show the Docker images installed on your workstationdocker container list
: list the active images running on your workstationdocker system prune
: remove many types of "dangling" components from your workstationdocker image prune
: remove all "dangling" docker images from your workstationdocker container prune
: remove all stopped docker containers from your workstationdocker rmi $(docker images -q) --force
: remove all docker images from your workstation
Since the above docker run
command uses a Docker images that, by default, runs
gradle grade
and then exits the Docker container, you may want to instead run
the following command so that you enter an "interactive terminal" that will
allow you to repeatedly run commands within the Docker container. Don't forget
that, if you are using the Windows operating system, then you will need to use a
different command to run Docker, as explained previously in this document.
Importantly, the command that you type if you are a Windows user should still
contain the -it
at the start of the docker run
and the /bin/bash
at the
end of the command. However, the other components of this command need to be
customized for the Windows operating system.
docker run -it --rm --name dockagator \
-v "$(pwd)":/project \
-v "$HOME/.dockagator":/root/.local/share \
gatoreducator/dockagator /bin/bash
Once you have typed this command, you can use the GatorGrader
tool in the Docker container by
typing the command gradle grade
in your terminal. Running this command will
produce a lot of output that you should carefully inspect. If GatorGrader's
output shows that there are no mistakes in the assignment, then your source code
and writing are passing all of the automated baseline checks. However, if the
output indicates that there are mistakes, then you will need to understand what
they are and then try to fix them.
To run one of these commands, you must be in the main (i.e., "home base")
directory for this assignment where the build.gradle
file is located.
If GatorGrader's maintainers push updates to this sample assignment and you received it through GitHub Classroom and you would like to also receive these updates, then you can type this command in the main directory for this assignment:
git remote add download [email protected]:Allegheny-Computer-Science-102-F2020/cs102-F2020-practical1-starter/
You should only need to type this command once; running the command additional times may yield an error message but will not negatively influence the state of your Git repository. Now, you are ready to download the updates provided by the GatorGrader maintainers by typing this command:
git pull download master
This second command can be run whenever the maintainers needs to provide you with new source code for this assignment. However, please note that, if you have edited the files that we updated, running the previous command may lead to Git merge conflicts. If this happens, you may need to manually resolve them with the help of the instructor or a student technical leader. Finally, please note that the Gradle plugin for GatorGrader will automatically download the newest version of GatorGrader.
This assignment uses GitHub Actions to automatically run GatorGrader and additional checking programs every time you commit to your GitHub repository. The checking will start as soon as you have accepted the assignment — thus creating your own private repository — and the course instructor and/or GitHub enables GitHub Actions on it. If you do not see either a yellow ● or a green ✔ or a red ❌ in your listing of commits, then please ask the instructor to see whether or not GitHub Actions was correctly enabled.
This assignment was developed to work with the following software and versions:
- Docker Desktop
- Operating Systems
- Linux
- MacOS
- Windows 10 Pro
- Windows 10 Enterprise
- Programming Language Tools
- Gradle 6.6
- MDL 0.5.0
- Python 3.7 or 3.8
If you have found a problem with this assignment's provided source code or documentation, then you can go to the Computer Science 102 Fall 2020 Planning Repository and raise an issue. If you have found a problem with the GatorGrader tool and the way that it checks your assignment, then you can also raise an issue in that repository. To ensure that your issue is properly resolved, please provide as many details as is possible about the problem that you experienced. Individuals who find, and use the appropriate GitHub issue tracker to correctly document, a mistake in any aspect of this assignment will receive extra credit towards their grade for the course.
If you are having trouble completing any part of this project, then please talk with either the course instructor or a student technical leader during the course session. Alternatively, you may ask questions in the Slack workspace for this course. Finally, you can schedule a meeting during the course instructor's office hours.