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Commit 4ccf7374 authored by tuhe's avatar tuhe
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refactored

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.idea/misc.xml 0 → 100644
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.idea/modules.xml 0 → 100644
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.idea/unitgrade.iml 0 → 100644
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.idea/vcs.xml 0 → 100644
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.idea/workspace.xml 0 → 100644
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from unitgrade.unitgrade import QuestionGroup, Report, QPrintItem
from unitgrade.unitgrade_helpers import evaluate_report_student
from unitgrade.hidden_create_files import setup_answers, setup_grade_file_report
class ListReversalQuestion(QuestionGroup):
title = "Reversal of list"
class ListReversalItem(QPrintItem):
l = [1, 3, 5, 1, 610]
def compute_answer_print(self):
from cs101courseware.homework1 import reverse_list
return reverse_list(self.l)
class ListReversalWordsItem(ListReversalItem):
l = ["hello", "world", "summer", "dog"]
class LinearRegressionQuestion(QuestionGroup):
title = "Linear regression and Boston dataset"
class CoefficientsItem(QPrintItem):
testfun = QPrintItem.assertL2
tol = 0.03
def compute_answer_print(self):
from cs101courseware.homework1 import boston_linear
boston_linear()
def process_output(self, res, txt, numbers):
return numbers[:-1]
class RMSEItem(CoefficientsItem):
def process_output(self, res, txt, numbers):
return numbers[-1]
from cs101courseware import homework1
class Report0(Report):
title = "CS 101 Report 1"
questions = [(ListReversalQuestion, 5), (LinearRegressionQuestion, 13)]
pack_imports = [homework1]
if __name__ == "__main__":
setup_answers(Report0()) # hidden for students
setup_grade_file_report(Report0,minify=True, bzip=True, obfuscate=True)
evaluate_report_student(Report0())
cs101courseware/cs101report1_grade.py 0 → 100644
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'''WARNING: Modifying, decompiling or otherwise tampering with this script, it's data or the resulting .token file will be investigated as a cheating attempt.
Note we perform manual and static analysis of the uploaded results.
'''
import bz2, base64
exec(bz2.decompress(base64.b64decode('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')))
\ No newline at end of file
cs101courseware/homework1.py
+ 33
− 10
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import numpy as np
from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
"""
Question 1. Write a function reverse_list which accepts a list, and returns a new list
with the same elements but in opposite order.
"""
####################
# Question 1. Write a function reverse_list which accepts a list, and returns a new list
# with the same elements but in opposite order.
####################
def reverse_list(mylist):
# TODO: Your solution here
# (What follows is my solution; obviously it would not be part of the code handed out to the students)
res = []
result = []
for k in mylist:
res = [k] + l
return res
result = [k] + result
return result
if __name__ == "__main__":
print("We will now test the reverse list function")
def simple_list_question():
print("The reverse list function can reverse a list")
l = [1, 2, 3, 4]
print("List was:", l, "reversed version", reverse_list(l))
####################
# Question 2: Write a function which performs linear regression on the Boston housing dataset using scipy
####################
def boston_linear():
X,y = load_boston(return_X_y=True) # Load the dataset here
y += np.random.randn(y.size ) * 0.01
# TODO: Fit a linear regression model and print the coefficients
lin_model = LinearRegression()
lin_model.fit(X, y)
print("Coefficients are", lin_model.coef_)
# TODO: Compute the RMSE here (on the training set) and print it
y_predict = lin_model.predict(X)
rmse = (np.sqrt(mean_squared_error(y, y_predict)))
print("RMSE is", rmse)
if __name__ == "__main__":
simple_list_question()
boston_linear()
unitgrade/__pycache__/__init__.cpython-36.pyc 0 → 100644
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unitgrade/__pycache__/hidden_create_files.cpython-36.pyc 0 → 100644
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unitgrade/__pycache__/hidden_gather_upload.cpython-36.pyc 0 → 100644
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unitgrade/__pycache__/unitgrade.cpython-36.pyc 0 → 100644
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unitgrade/__pycache__/unitgrade_helpers.cpython-36.pyc 0 → 100644
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unitgrade/hidden/unitgrade_setup_hidden.py → unitgrade/hidden_create_files.py
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from ..autograde_helpers import evaluate_report
from ..example.report0 import Report0
from .. import cache_read, cache_write
# from unitgrade.unitgrade_helpers import evaluate_report
from unitgrade import cache_read, cache_write
import jinja2
import pickle
from tabulate import tabulate
......@@ -16,11 +15,10 @@ data = """
report1_source = {{source}}
report1_payload = {{payload}}
name="{{Report1}}"
from unitgrade.unitgrade_helpers import source_instantiate
report = source_instantiate(name, report1_source, report1_payload)
# campusnet_token_out = {{token_out}}
report = source_instantiate(name, report1_source, report1_payload)
gather_upload_to_campusnet(report)
output_dir = os.path.dirname(__file__)
gather_upload_to_campusnet(report, output_dir)
"""
def setup_answers(report):
......@@ -36,9 +34,6 @@ def setup_answers(report):
cache_write(payloads, report.computed_answers_file, verbose=False)
def bzwrite(json_str, token): # to get around obfuscation issues
with getattr(bz2, 'open')(token, "wt") as f:
f.write(json_str)
def strip_main(report1_source):
dx = report1_source.find("__main__")
......@@ -46,10 +41,18 @@ def strip_main(report1_source):
report1_source = report1_source[:report1_source.rfind("\n")]
return report1_source
def pack_report_for_sudents(Report1, obfuscate=False, minify=False, bzip=True, nonlatin=False):
# def pack_report_for_students(Report1, obfuscate=False, minify=False, bzip=True, nonlatin=False):
def setup_grade_file_report(ReportClass, execute=True, obfuscate=False, minify=False, bzip=True, nonlatin=False):
# from irlc.autograde.autograde import setup_answers
import time
print("Seeting up answers...")
setup_answers(ReportClass())
time.sleep(0.1)
print("Packing student files...")
# pack report into a binary blob thingy the students can run on their own.
report = Report1()
fn = inspect.getfile(Report1)
report = ReportClass()
fn = inspect.getfile(ReportClass)
with open(fn, 'r') as f:
report1_source = f.read()
report1_source = strip_main(report1_source)
......@@ -57,14 +60,19 @@ def pack_report_for_sudents(Report1, obfuscate=False, minify=False, bzip=True, n
payload = cache_read(report.computed_answers_file)
picklestring = pickle.dumps(payload)
with open("autograde_helpers.py", 'r') as f:
shelp = f.read()
from unitgrade import hidden_gather_upload
# from unitgrade import unitgrade_helpers
pyhead = ""
for fname in [hidden_gather_upload.__file__]: #, unitgrade_helpers.__file__]:
with open(fname, 'r') as f:
pyhead += f.read() + "\n" + "\n"
s = jinja2.Environment().from_string(data).render({'Report1': Report1.__name__,
s = jinja2.Environment().from_string(data).render({'Report1': ReportClass.__name__,
'source': repr(report1_source),
'payload': repr(picklestring),
'token_out': repr(fn[:-3] + "_handin"),
'head': shelp} )
'head': pyhead})
output = fn[:-3] + "_grade.py"
with open(output, 'w') as f:
......@@ -78,9 +86,7 @@ def pack_report_for_sudents(Report1, obfuscate=False, minify=False, bzip=True, n
]
if bzip: extra.append("--bzip2")
os.system(f'pyminifier {obs} {" ".join(extra)} --replacement-length=20 -o {output} {output}')
import time
time.sleep(0.2)
with open(output, 'r') as f:
sauce = f.read().splitlines()
......@@ -92,15 +98,7 @@ def pack_report_for_sudents(Report1, obfuscate=False, minify=False, bzip=True, n
with open(output, 'w') as f:
f.write(sauce)
def setup_grade_file_report(ReportClass, execute=True):
# from irlc.autograde.autograde import setup_answers
import time
print("Seeting up answers...")
setup_answers(ReportClass())
time.sleep(0.1)
print("Packing student files...")
pack_report_for_sudents(ReportClass, minify=True, bzip=True, obfuscate=True)
# pack_report_for_students(ReportClass, minify=True, bzip=True, obfuscate=True)
if execute:
time.sleep(0.1)
print("Testing packed files...")
......@@ -109,44 +107,9 @@ def setup_grade_file_report(ReportClass, execute=True):
exec("import " + s)
def gather_upload_to_campusnet(report, payload_out_base=None):
n = 80
results, table_data = evaluate_report(report)
print(" ")
print("="*n)
print("Final evaluation")
print(tabulate(table_data))
# also load the source code of missing files...
results['sources'] = {}
print("Gathering files...")
for m in report.pack_imports:
with open(m.__file__, 'r') as f:
results['sources'][m.__name__] = f.read()
print(f"*** {m.__name__}")
results['sources'] = {}
json_str = json.dumps(results, indent=4)
now = datetime.now()
dname = os.path.dirname(inspect.getfile(report.__class__))
payload_out_base = report.__class__.__name__ + "_handin"
token = payload_out_base + ".token"
token = os.path.join(dname, token)
bzwrite(json_str, token)
print(" ")
# print("=======================================================================")
print("To get credit for your results, please upload the file: ")
# rout =
print(">", token)
print("To campusnet without any modifications.")
if __name__ == "__main__":
from unitgrade.example.report0 import Report0
setup_grade_file_report(Report0, execute=False)
from irlc.reports.report1example import Report1Example
setup_grade_file_report(Report1Example, execute=False)
unitgrade/hidden_gather_upload.py 0 → 100644
+ 50
− 0
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from unitgrade.unitgrade_helpers import evaluate_report
from tabulate import tabulate
from datetime import datetime
import inspect
import json
import os
import bz2
def bzwrite(json_str, token): # to get around obfuscation issues
with getattr(bz2, 'open')(token, "wt") as f:
f.write(json_str)
def gather_upload_to_campusnet(report, output_dir=None):
n = 80
results, table_data = evaluate_report(report)
print(" ")
print("="*n)
print("Final evaluation")
print(tabulate(table_data))
# also load the source code of missing files...
results['sources'] = {}
print("Gathering files...")
for m in report.pack_imports:
with open(m.__file__, 'r') as f:
results['sources'][m.__name__] = f.read()
print(f"*** {m.__name__}")
results['sources'] = {}
json_str = json.dumps(results, indent=4)
now = datetime.now()
# dname = os.path.dirname(inspect.getfile(report.__class__))
# dname = os.getcwd()
if output_dir is None:
output_dir = os.getcwd()
# raise Exception( dname )
#
# print(dname)
payload_out_base = report.__class__.__name__ + "_handin"
obtain, possible = results['total']
token = "%s_%i_of_%i.token"%(payload_out_base, obtain, possible) # + str(obtained) +"_" + ".token"
token = os.path.join(output_dir, token)
bzwrite(json_str, token)
print(" ")
print("To get credit for your results, please upload the file: ")
print(">", token)
print("To campusnet without any modifications.")
unitgrade/payloads/Report0/Report0.report 0 → 100644
+ 0
− 0
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