160 lines
6.3 KiB
Python
160 lines
6.3 KiB
Python
|
"""
|
||
|
Author -- Michael Widrich, Andreas Schörgenhumer
|
||
|
Contact -- schoergenhumer@ml.jku.at
|
||
|
Date -- 04.03.2022
|
||
|
|
||
|
###############################################################################
|
||
|
|
||
|
The following copyright statement applies to all code within this file.
|
||
|
|
||
|
Copyright statement:
|
||
|
This material, no matter whether in printed or electronic form,
|
||
|
may be used for personal and non-commercial educational use only.
|
||
|
Any reproduction of this manuscript, no matter whether as a whole or in parts,
|
||
|
no matter whether in printed or in electronic form, requires explicit prior
|
||
|
acceptance of the authors.
|
||
|
|
||
|
###############################################################################
|
||
|
|
||
|
Images taken from: https://pixabay.com/
|
||
|
"""
|
||
|
|
||
|
import hashlib
|
||
|
import os
|
||
|
import shutil
|
||
|
import sys
|
||
|
from glob import glob
|
||
|
|
||
|
import dill as pkl
|
||
|
|
||
|
|
||
|
def print_outs(outs, line_token="-"):
|
||
|
print(line_token * 40)
|
||
|
print(outs, end="" if isinstance(outs, str) and outs.endswith("\n") else "\n")
|
||
|
print(line_token * 40)
|
||
|
|
||
|
|
||
|
ex_file = "ex2.py"
|
||
|
full_points = 15
|
||
|
points = full_points
|
||
|
python = sys.executable
|
||
|
|
||
|
solutions_dir = os.path.join("unittest", "solutions")
|
||
|
outputs_dir = os.path.join("unittest", "outputs")
|
||
|
|
||
|
# Remove previous outputs folder
|
||
|
shutil.rmtree(outputs_dir, ignore_errors=True)
|
||
|
|
||
|
inputs = sorted(glob(os.path.join("unittest", "unittest_input_*"), recursive=True))
|
||
|
if not len(inputs):
|
||
|
raise FileNotFoundError("Could not find unittest_input_* files")
|
||
|
|
||
|
with open(os.path.join(solutions_dir, "counts.pkl"), "rb") as f:
|
||
|
sol_counts = pkl.load(f)
|
||
|
|
||
|
for test_i, input_folder in enumerate(inputs):
|
||
|
comment = ""
|
||
|
fcall = ""
|
||
|
|
||
|
with open(os.devnull, "w") as null:
|
||
|
# sys.stdout = null
|
||
|
try:
|
||
|
from ex2 import validate_images
|
||
|
|
||
|
proper_import = True
|
||
|
except Exception as e:
|
||
|
outs = ""
|
||
|
errs = e
|
||
|
points -= full_points / len(inputs)
|
||
|
proper_import = False
|
||
|
finally:
|
||
|
sys.stdout.flush()
|
||
|
sys.stdout = sys.__stdout__
|
||
|
|
||
|
if proper_import:
|
||
|
with open(os.devnull, "w") as null:
|
||
|
# sys.stdout = null
|
||
|
try:
|
||
|
input_basename = os.path.basename(input_folder)
|
||
|
output_dir = os.path.join(outputs_dir, input_basename)
|
||
|
logfilepath = output_dir + ".log"
|
||
|
formatter = "06d"
|
||
|
counts = validate_images(input_dir=input_folder, output_dir=output_dir, log_file=logfilepath,
|
||
|
formatter=formatter)
|
||
|
fcall = f'validate_images(\n\tinput_dir="{input_folder}",\n\toutput_dir="{output_dir}",\n\tlog_file="{logfilepath}",\n\tformatter="{formatter}"\n)'
|
||
|
errs = ""
|
||
|
|
||
|
try:
|
||
|
with open(os.path.join(outputs_dir, f"{input_basename}.log"), "r") as lfh:
|
||
|
logfile = lfh.read()
|
||
|
except FileNotFoundError:
|
||
|
# two cases:
|
||
|
# 1) no invalid files and thus no log file -> ok -> equal to empty tlogfile
|
||
|
# 2) invalid files but no log file -> not ok -> will fail the comparison with tlogfile (below)
|
||
|
logfile = ""
|
||
|
with open(os.path.join(solutions_dir, f"{input_basename}.log"), "r") as lfh:
|
||
|
# must replace the separator that was used when creating the solution files
|
||
|
tlogfile = lfh.read().replace("\\", os.path.sep)
|
||
|
|
||
|
files = sorted(glob(os.path.join(outputs_dir, input_basename, "**", "*"), recursive=True))
|
||
|
hashing_function = hashlib.sha256()
|
||
|
for file in files:
|
||
|
with open(file, "rb") as fh:
|
||
|
hashing_function.update(fh.read())
|
||
|
hash = hashing_function.digest()
|
||
|
hashing_function = hashlib.sha256()
|
||
|
tfiles = sorted(glob(os.path.join(solutions_dir, input_basename, "**", "*"), recursive=True))
|
||
|
for file in tfiles:
|
||
|
with open(file, "rb") as fh:
|
||
|
hashing_function.update(fh.read())
|
||
|
thash = hashing_function.digest()
|
||
|
|
||
|
tcounts = sol_counts[input_basename]
|
||
|
|
||
|
if not counts == tcounts:
|
||
|
points -= full_points / len(inputs)
|
||
|
comment = f"Function should return {tcounts} but returned {counts}"
|
||
|
elif not [f.split(os.path.sep)[-2:] for f in files] == [f.split(os.path.sep)[-2:] for f in tfiles]:
|
||
|
points -= full_points / len(inputs)
|
||
|
comment = f"Contents of output directory do not match (see directory 'solutions')"
|
||
|
elif not hash == thash:
|
||
|
points -= full_points / len(inputs)
|
||
|
comment = f"Hash value of the files in the output directory do not match (see directory 'solutions')"
|
||
|
elif not logfile == tlogfile:
|
||
|
points -= full_points / len(inputs)
|
||
|
comment = f"Contents of logfiles do not match (see directory 'solutions')"
|
||
|
|
||
|
except Exception as e:
|
||
|
outs = ""
|
||
|
errs = e
|
||
|
points -= full_points / len(inputs)
|
||
|
finally:
|
||
|
sys.stdout.flush()
|
||
|
sys.stdout = sys.__stdout__
|
||
|
|
||
|
print()
|
||
|
print_outs(f"Test {test_i}", line_token="#")
|
||
|
print("Function call:")
|
||
|
print_outs(fcall)
|
||
|
|
||
|
if errs:
|
||
|
print(f"Some unexpected errors occurred:")
|
||
|
print_outs(f"{type(errs).__name__}: {errs}")
|
||
|
else:
|
||
|
print("Notes:")
|
||
|
print_outs("No issues found" if comment == "" else comment)
|
||
|
|
||
|
# due to floating point calculations it could happen that we get -0 here
|
||
|
if points < 0:
|
||
|
assert abs(points) < 1e-7, f"points were {points} < 0: error when subtracting points?"
|
||
|
points = abs(points)
|
||
|
print(f"Current points: {points:.2f}")
|
||
|
|
||
|
print(f"\nEstimated points upon submission: {points:.2f} (out of {full_points:.2f})")
|
||
|
if points < full_points:
|
||
|
print(f"Check the folder '{outputs_dir}' to see where your errors are")
|
||
|
else:
|
||
|
shutil.rmtree(os.path.join(outputs_dir))
|
||
|
print(f"This is only an estimate, see 'Instructions for submitting homework' in Moodle "
|
||
|
f"for common mistakes that can still lead to 0 points.")
|