A lightweight framework for censoring student solutions files and extracting code + output
A lightweight framework for removing code from student solutions.
pip install codesnipper
This project address the following three challenges for administering a python-based course
\ref{mylabel} -> "(see equation 2.1 in exercise 5)")This framework address these problems and allow you to maintain a single, working project repository. Below is an example of the snippets produced and included using simple \inputminted{python}{...} commands (see the examples/ directory):
The project is currently used in 02465 at DTU. An example of student code can be found at:
A set of lectures notes where all code examples/output are automatically generated from the working repository can be found a
All examples can be found in the /examples directory. The idea is all our (complete) files are found in the instructor directory and snipper keeps everything up-to-date:
examples/cs101_instructor # This directory contains the (hidden) instructor files. You edit these
examples/cs101_students # This directory contains the (processed) student files. Don't edit these
examples/cs101_output # This contains automatically generated contents (snippets, etc.).
The basic functionality is you insert special comment tags in your source, such as #!b or #!s and the script then process
the sources based on the tags. The following will show most common usages:
Let's start with the simplest example, blocking out a function (see examples/cs101_instructor/f_tag.py; actually it will work for any scope)
You insert a comment like: #!f <exception message> like so:
def myfun(a,b): #!f return the sum of a and b
""" The doc-string is not removed. """
sm = a+b
return sm
To compile this (and all other examples) use the script examples/process_cs101.py
if __name__ == "__main__":
from snipper.snip_dir import snip_dir
snip_dir("./cs101_instructor", "./cs101_students", output_dir="./cs101_output")
The output can be found in examples/students/f_tag.py. It will cut out the body of the function but leave any return statement and docstrings. It will also raise an exception (and print how many lines are missing) to help students.
def myfun(a,b):
""" The doc-string is not removed. """
# TODO: 1 lines missing.
raise NotImplementedError("return the sum of a and b")
return sm
The #!b-tag allows you more control over what is cut out. The instructor file:
def primes_sieve(limit):
limitn = limit+1 #!b
primes = range(2, limitn)
for i in primes:
factors = list(range(i, limitn, i))
for f in factors[1:]:
if f in primes:
primes.remove(f) #!b Compute the list `primes` here of all primes up to `limit`
return primes
width, height = 2, 4
print("Area of square of width", width, "and height", height, "is:")
print(width*height) #!b #!b Compute and print area here
print("and that is a fact!")
Is compiled into:
def primes_sieve(limit):
# TODO: 8 lines missing.
raise NotImplementedError("Compute the list `primes` here of all primes up to `limit`")
return primes
width, height = 2, 4
print("Area of square of width", width, "and height", height, "is:")
# TODO: 1 lines missing.
raise NotImplementedError("Compute and print area here")
print("and that is a fact!")
This allows you to cut out text across scopes, but still allows you to insert exceptions.
The #!s-tag is useful for making examples to include in exercises and lecture notes. The #!s (snip) tag cuts out the text between tags and places it in files found in the output-directory. As an example, here is the instructor file:
width, height = 2, 4
print("Area of square of width", width, "and height", height, "is:") #!s
print(width*height) #!s # This is an example of a simple cutout
print("and that is a fact!")
print("An extra cutout") #!s #!s # This will be added to the above cutout
def primes_sieve(limit): #!s=a # A named cutout
limitn = limit+1
primes = range(2, limitn)
for i in primes: #!s=b A nested/named cutout.
factors = list(range(i, limitn, i))
for f in factors[1:]:
if f in primes:
primes.remove(f) #!s=b
return primes #!s=a
Note it allows
This example will produce three files
cs101_output/s_tag.py, cs101_output/s_tag_a.py, and cs101_output/s_tag_b.py containing the output:
# s_tag.py
print("Area of square of width", width, "and height", height, "is:")
print(width*height)
print("An extra cutout")
and
# s_tag.py
def primes_sieve(limit):
limitn = limit+1
primes = range(2, limitn)
for i in primes: #!s=b A nested/named cutout.
factors = list(range(i, limitn, i))
for f in factors[1:]:
if f in primes:
primes.remove(f) #!s=b
return primes
and finally:
# s_tag.py
for i in primes:
factors = list(range(i, limitn, i))
for f in factors[1:]:
if f in primes:
primes.remove(f)
I recommend using \inputminted{filename} to insert the cutouts in LaTeX.
The #!o-tag allows you to capture output from the code, which can be useful when showing students the expected behavior of their scripts. Like the #!s-tag, the #!o-tags can be named.
As an example, Consider the instructor file
if __name__ == "__main__":
print("Here are the first 4 square numbers") #!o=a
for k in range(1,5):
print(k*k, "is a square")
#!o=a
print("This line will not be part of a cutout.")
width, height = 2, 4 #!o=b
print("Area of square of width", width, "and height", height, "is:")
print(width*height)
print("and that is a fact!") #!o=b
This example will produce two files cs101_output/o_tag_a.txt, cs101_output/o_tag_b.txt:
Here are the first 4 square numbers
1 is a square
4 is a square
9 is a square
16 is a square
and
Area of square of width 2 and height 4 is:
8
and that is a fact!
The #!i-tag allows you to create interactive python shell-snippets that can be imported using
the minted pycon environment (\inputminted{python}{input.shell}).
As an example, consider the instructor file
for animal in ["Dog", "cat", "wolf"]: #!i=a
print("An example of a four legged animal is", animal) #!i=a
#!i=b
def myfun(a,b):
return a+b
myfun(3,4) #!i=b
# Snipper will automatically insert an 'enter' after the function definition.
This example will produce two files cs101_output/i_tag_a.shell, cs101_output/i_tag_b.shell:
>>> for animal in ["Dog", "cat", "wolf"]:
... print("An example of a four legged animal is", animal)
...
An example of a four legged animal is Dog
An example of a four legged animal is cat
An example of a four legged animal is wolf
and
>>> def myfun(a,b):
... return a+b
...
>>> myfun(3,4)
7
Note that apparently there
is no library for converting python code to shell sessions so I had to write it myself, which means it can properly get confused with multi-line statements (lists, etc.). On the plus-side, it will automatically insert newlines after the end of scopes.
My parse is also known to be a bit confused if your code outputs ... since it has to manually parse the interactive python session and this normally indicates a new line.
\ref and \cite)One of the most annoying parts of maintaining student code is to constantly write "see equation on slide 41 bottom" only to have the reference go stale because slide 23 got removed. Well not anymore, now you can direcly refence anything with a bibtex or aux file!
Let's consider the following example of a simple document with a couple of references: (see examples/latex/index.pdf):
The code for this document is:
\documentclass{article}
\usepackage{url,graphics,rotating,hyperref}
\usepackage{cleveref}
\usepackage{showlabels}
\begin{document}
\section{First section}\label{sec1}
Math is hard \cite{bertsekasII,rosolia2018data,herlau}, see also \cref{eq1} and \cref{fig1}.
\begin{equation}
2+2 = 4 \label{eq1}
\end{equation}
\begin{figure}\centering
\includegraphics[width=.8\linewidth]{br}\caption{A figure}\label{fig1}
\end{figure}
\bibliographystyle{alpha}
\bibliography{library}
\end{document}
To use the references in code we first have to load the references.bib file and the index.aux-file and then:
\cite and \refLet's look at all of these in turn. The file we will consider in the instructor-version looks like this: (examples/cs101_instructor/references.py):
def myfun():
"""
Simple aux references \ref{eq1} in \ref{sec1}.
Simple bibtex citations: \cite{bertsekasII} and \cite[Somewhere around the middle]{herlau}
Example of custom command (reference notes)
> \nref{fig1}
Other example of custom command (reference assignment)
> \aref2{sec1}
"""
print("See \ref{sec1}") # Also works.
return 42
Note the last parts of the file contains the special commands \nref (references to lecture notes) and \aref2 (assignment 2) which I want to define.
This can be done by changing the call to snipper as follows (examples/process_cs101_references.py)
from snipper.snip_dir import snip_dir
from snipper.load_citations import get_aux, get_bibtex
def main():
bibfile = get_bibtex('latex/library.bib')
auxfile = get_aux('latex/index.aux')
references = dict(bibtex=bibfile,
aux=auxfile,
commands=[dict(command='\\aref2', output="(Assignment 2, %s)", aux=auxfile),
dict(command='\\nref', output="\cite[%s]{herlau}", aux=auxfile),
])
snip_dir("./cs101_instructor", "./cs101_students", output_dir="./cs101_output", references=references)
if __name__ == "__main__":
main()
And this then produce the output:
"""
References:
[Ber07] Dimitri P. Bertsekas. Dynamic Programming and Optimal Control, Vol. II. Athena Scientific, 3rd edition, 2007. ISBN 1886529302.
[Her21] Tue Herlau. Sequential decision making. (See 02465_Notes.pdf), 2021.
"""
def myfun():
"""
Simple aux references eq. (1) in Section 1.
Simple bibtex citations: (Ber07) and (Her21, Somewhere around the middle)
Example of custom command (reference notes)
> (Her21, Figure 1)
Other example of custom command (reference assignment)
> (Assignment 2, Section 1)
"""
print("See Section 1") # Also works.
return 42
Since the aux/bibtex databases are just dictionaries it is easy to join them together from different sources. I have written reference tags to lecture and exercise material as well as my notes and it makes reference management very easy.
The default behavior for code removal (#!b and #!f-tags) is to simply remove the code and insert the number of missing lines.
We can easily create more interesting behavior. The code for the following example can be found in examples/b_example.py and will deal with the following problem:
import numpy as np
# Implement a sieve here.
def primes_sieve(limit):
limitn = limit+1 #!b
primes = range(2, limitn)
for i in primes:
factors = list(range(i, limitn, i))
for f in factors[1:]:
if f in primes:
primes.remove(f)
return primes #!b
# Example use: print(primes_sieve(42))
The examples below shows how we can easily define custom functions for processing the code which is to be removed; I have not included the functions here for brevity, but they are all just a few lines long and all they do is take a list of lines (to be obfuscated) and return a new list of lines (the obfuscated code).
This example simple randomly permutes the line and prefix them with a comment tag to ensure the code still compiles
import numpy as np
# Implement a sieve here.
def primes_sieve(limit):
# primes.remove(f)
# if f in primes:
# factors = list(range(i, limitn, i))
# for i in primes:
#
# limitn = limit+1
# return primes
# primes = range(2, limitn)
# for f in factors[1:]:
# Example use: print(primes_sieve(42))
raise NotImplementedError('Complete the above program')
This example replaces non-keyword, non-special-symbol parts of the lines:
import numpy as np
# Implement a sieve here.
def primes_sieve(limit):
# ?????? = ?????+1
# ?????? = ?????(2, ??????)
#
# for ? in ??????:
# ??????? = ????(?????(?, ??????, ?))
# for ? in ???????[1:]:
# if ? in ??????:
# ??????.??????(?)
# return ??????
# Example use: print(primes_sieve(42))
raise NotImplementedError('Complete the above program')
The final example displays half of the proposed solution:
import numpy as np
# Implement a sieve here.
def primes_sieve(limit):
# limitn =????????
# primes = ran?????????????
#
# for i in????????
# factors = list(ra??????????????????
# for f in f???????????
# if f in????????
# primes.r????????
# return???????
# Example use: print(primes_sieve(42))
raise NotImplementedError('Complete the above program')
@online{codesnipper,
title={Codesnipper (0.1.0): \texttt{pip install codesnipper}},
url={https://lab.compute.dtu.dk/tuhe/snipper},
urldate = {2021-09-07},
month={9},
publisher={Technical University of Denmark (DTU)},
author={Tue Herlau},
year={2021},
}
FAQs
A lightweight framework for censoring student solutions files and extracting code + output
We found that codesnipper demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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