From acc45dbea61cd2587c5fd4c9db77d036edc61672 Mon Sep 17 00:00:00 2001
From: Tue Herlau <tuhe@dtu.dk>
Date: Thu, 2 Sep 2021 14:40:53 +0200
Subject: [PATCH] Updates
---
LICENSE | 19 +
README.md | 40 +-
autolab/__pycache__/autolab.cpython-38.pyc | Bin 5899 -> 0 bytes
autolab/report_autolab.py | 0
build.md | 18 +
cs202courseware/ascimenu.py | 43 ++
cs202courseware/ug2report1.py | 14 +-
cs202courseware/ug2report1_nohidden.py | 13 +-
dist/unitgrade-devel-0.0.1.tar.gz | Bin 0 -> 17133 bytes
dist/unitgrade_devel-0.0.1-py3-none-any.whl | Bin 0 -> 18848 bytes
.../docker_tango_python/Dockerfile | 0
.../docker_tango_python/requirements.txt | 1 +
.../unitgrade-docker/Dockerfile | 4 +-
.../home/cs103/Report3_handin_5_of_30.token | Bin 0 -> 113733 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 922 -> 923 bytes
.../report3_complete_grade.cpython-38.pyc | Bin 0 -> 50864 bytes
.../unitgrade-docker/home}/cs103/homework1.py | 0
.../unitgrade-docker/home}/cs103/report3.py | 6 +-
.../home/cs103/report3_complete_grade.py | 338 ++++++++++++
.../home/cs103/report3_grade.py | 340 ++++++++++++
.../unitgrade-docker/requirements.txt | 1 +
.../unitgrade-docker/tmp/cs103/homework1.py | 21 +
.../unitgrade-docker/tmp/cs103/report3.py | 29 +
.../tmp/cs103/report3_complete_grade.py | 338 ++++++++++++
.../tmp/cs103/report3_grade.py | 340 ++++++++++++
examples/02471/instructor/02471/report1.py | 2 +-
examples/02631/instructor/programs/.coverage | Bin 0 -> 53248 bytes
.../__pycache__/looping.cpython-38.pyc | Bin 0 -> 2019 bytes
.../__pycache__/report1intro.cpython-38.pyc | Bin 0 -> 7198 bytes
examples/02631/instructor/programs/deploy.py | 62 +++
examples/02631/instructor/programs/looping.py | 64 +++
.../02631/instructor/programs/report1intro.py | 139 +++++
.../instructor/programs/report1intro_grade.py | 337 ++++++++++++
.../programs/unitgrade/Bacteria.pkl | Bin 0 -> 2050 bytes
.../programs/unitgrade/ClusterAnalysis.pkl | Bin 0 -> 763 bytes
.../programs/unitgrade/FermentationRate.pkl | Bin 0 -> 618 bytes
.../programs/unitgrade/RemoveIncomplete.pkl | Bin 0 -> 1444 bytes
examples/02631/students/programs/.coverage | Bin 0 -> 53248 bytes
.../__pycache__/looping.cpython-38.pyc | Bin 0 -> 2019 bytes
.../__pycache__/report1intro.cpython-38.pyc | Bin 0 -> 7198 bytes
examples/02631/students/programs/looping.py | 62 +++
.../02631/students/programs/report1intro.py | 142 +++++
.../students/programs/report1intro_grade.py | 339 ++++++++++++
.../students/programs/unitgrade/Bacteria.pkl | Bin 0 -> 2050 bytes
.../programs/unitgrade/ClusterAnalysis.pkl | Bin 0 -> 763 bytes
.../programs/unitgrade/FermentationRate.pkl | Bin 0 -> 618 bytes
.../programs/unitgrade/RemoveIncomplete.pkl | Bin 0 -> 1444 bytes
examples/autolab_example/autolab_example.py | 4 +-
examples/autolab_example/tmp/cs101/cs101.yml | 6 +-
.../tmp/cs101/src/driver_python.py | 6 +-
.../tmp/cs101/src/report1_grade.py | 2 +-
.../tmp/cs102/src/driver_python.py | 4 +-
.../tmp/cs103/src/driver_python.py | 4 +-
.../example_docker/instructor/cs103/.coverage | Bin 0 -> 53248 bytes
.../cs103/Report3_handin_25_of_30.token | Bin 0 -> 117485 bytes
.../cs103/Report3_handin_30_of_30.token | Bin 0 -> 117467 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 833 -> 833 bytes
.../cs103/__pycache__/report3.cpython-38.pyc | Bin 1384 -> 1384 bytes
.../report3_complete.cpython-38.pyc | Bin 1748 -> 1737 bytes
.../example_docker/instructor/cs103/deploy.py | 18 +-
.../instructor/cs103/report3.py | 6 +-
.../instructor/cs103/report3_complete.py | 4 +-
.../cs103/report3_complete_grade.py | 69 ++-
.../instructor/cs103/report3_grade.py | 69 ++-
.../cs103/unitgrade/AutomaticPass.pkl | Bin 93 -> 4 bytes
.../instructor/cs103/unitgrade/Week1.pkl | Bin 87 -> 62 bytes
.../tmp/cs103/Report3_handin_5_of_30.token | Bin 128198 -> 0 bytes
.../tmp/cs103/report3_complete_grade.py | 345 ------------
.../tmp/cs103/report3_grade.py | 347 ------------
examples/example_docker/run_all_docker.py | 57 ++
.../example_docker/students/cs103/.coverage | Bin 0 -> 53248 bytes
.../cs103/Report3_handin_10_of_30.token | Bin 65286 -> 57954 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 992 -> 992 bytes
.../__pycache__/homework1.cpython-39.pyc | Bin 833 -> 833 bytes
.../cs103/__pycache__/report3.cpython-38.pyc | Bin 1384 -> 1384 bytes
.../report3_complete.cpython-38.pyc | Bin 1748 -> 1748 bytes
.../report3_complete.cpython-39.pyc | Bin 1246 -> 1764 bytes
.../report3_complete_grade.cpython-39.pyc} | Bin 57824 -> 57973 bytes
.../__pycache__/report3_grade.cpython-38.pyc | Bin 57968 -> 50620 bytes
.../example_docker/students/cs103/report3.py | 6 +-
.../students/cs103/report3_grade.py | 69 ++-
.../cs103/unitgrade/AutomaticPass.pkl | Bin 93 -> 4 bytes
.../students/cs103/unitgrade/Week1.pkl | Bin 87 -> 62 bytes
.../Report1Flat_handin_10_of_10.token | Bin 0 -> 65761 bytes
.../__pycache__/deploy.cpython-38.pyc | Bin 0 -> 581 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 0 -> 835 bytes
.../__pycache__/report1flat.cpython-38.pyc | Bin 0 -> 1204 bytes
.../instructor/cs101flat/deploy.py | 15 +
.../instructor/cs101flat/homework1.py | 16 +
.../instructor/cs101flat/report1flat.py | 24 +
.../instructor/cs101flat/report1flat_grade.py | 349 ++++++++++++
.../Report1Flat_handin_0_of_10.token | Bin 0 -> 65468 bytes
.../__pycache__/deploy.cpython-38.pyc | Bin 0 -> 581 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 0 -> 994 bytes
.../__pycache__/report1flat.cpython-38.pyc | Bin 0 -> 1204 bytes
.../report1flat_grade.cpython-38.pyc | Bin 0 -> 57893 bytes
.../students/cs101flat/homework1.py | 21 +
.../students/cs101flat/report1flat.py | 27 +
.../students/cs101flat/report1flat_grade.py | 351 ++++++++++++
.../instructor/cs102/.coverage | Bin 0 -> 53248 bytes
.../cs102/Report2_handin_10_of_18.token | Bin 80985 -> 0 bytes
.../cs102/Report2_handin_13_of_18.token | Bin 0 -> 60507 bytes
.../cs102/Report2_handin_18_of_18.token | Bin 80175 -> 61089 bytes
.../cs102/Report2_handin_28_of_28.token | Bin 81409 -> 0 bytes
.../cs102/Report2_handin_5_of_18.token | Bin 78385 -> 0 bytes
.../cs102/Report2_handin_5_of_28.token | Bin 80005 -> 0 bytes
.../cs102/__pycache__/deploy.cpython-38.pyc | Bin 0 -> 760 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 836 -> 836 bytes
.../__pycache__/report2_grade.cpython-38.pyc | Bin 65513 -> 59749 bytes
.../instructor/cs102/deploy.py | 6 +-
.../instructor/cs102/report2.py | 16 +-
.../instructor/cs102/report2_grade.py | 182 +------
.../instructor/cs102/unitgrade/Question2.pkl | Bin 384 -> 360 bytes
.../instructor/cs102/unitgrade/Week1.pkl | Bin 215 -> 101 bytes
.../students/cs102/.coverage | Bin 0 -> 53248 bytes
.../cs102/Report2_handin_0_of_18.token | Bin 79868 -> 0 bytes
.../cs102/__pycache__/deploy.cpython-38.pyc | Bin 0 -> 760 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 995 -> 836 bytes
.../cs102/__pycache__/report2.cpython-38.pyc | Bin 2048 -> 2165 bytes
.../__pycache__/report2_grade.cpython-38.pyc | Bin 65631 -> 59749 bytes
.../students/cs102/report2.py | 16 +-
.../students/cs102/report2_grade.py | 182 +------
.../students/cs102/unitgrade/Question2.pkl | Bin 384 -> 360 bytes
.../students/cs102/unitgrade/Week1.pkl | Bin 215 -> 101 bytes
.../instructor/cs105/.coverage | Bin 0 -> 53248 bytes
.../Report1Jupyter_handin_18_of_18.token | Bin 0 -> 58736 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 0 -> 187 bytes
.../cs105/__pycache__/report5.cpython-38.pyc | Bin 0 -> 2312 bytes
.../cs105/__pycache__/week2.cpython-38.pyc | Bin 0 -> 466 bytes
.../instructor/cs105/deploy.py | 15 +
.../instructor/cs105/homework1.py | 1 +
.../instructor/cs105/report5.py | 49 ++
.../instructor/cs105/report5_grade.py | 336 ++++++++++++
.../instructor/cs105/unitgrade/Question2.pkl | Bin 0 -> 58 bytes
.../instructor/cs105/unitgrade/Week1.pkl | 1 +
.../instructor/cs105}/week2.ipynb | 0
.../example_jupyter/students/cs105/.coverage | Bin 0 -> 53248 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 0 -> 187 bytes
.../cs105/__pycache__/report5.cpython-38.pyc | Bin 0 -> 2312 bytes
.../cs105/__pycache__/week2.cpython-38.pyc | Bin 0 -> 466 bytes
.../students/cs105/homework1.py | 4 +
.../example_jupyter/students/cs105/report5.py | 52 ++
.../students/cs105/report5_grade.py | 338 ++++++++++++
.../students/cs105/unitgrade/Question2.pkl | Bin 0 -> 58 bytes
.../students/cs105/unitgrade/Week1.pkl | 1 +
.../students/cs105/week2.ipynb | 69 +++
.../cs101/Report1_handin_10_of_10.token | Bin 77365 -> 58016 bytes
.../cs101/__pycache__/deploy.cpython-38.pyc | Bin 0 -> 911 bytes
.../__pycache__/report1_grade.cpython-38.pyc | Bin 63801 -> 57383 bytes
.../instructor/cs101/deploy.py | 17 +-
.../instructor/cs101/report1.py | 4 +-
.../instructor/cs101/report1_grade.py | 180 +------
.../cs101/Report1_handin_0_of_10.token | Bin 77002 -> 0 bytes
.../cs101/__pycache__/deploy.cpython-38.pyc | Bin 0 -> 911 bytes
.../__pycache__/homework1.cpython-38.pyc | Bin 994 -> 835 bytes
.../cs101/__pycache__/report1.cpython-38.pyc | Bin 1209 -> 1228 bytes
.../__pycache__/report1_grade.cpython-38.pyc | Bin 63919 -> 57383 bytes
.../students/cs101/report1.py | 5 +-
.../students/cs101/report1_grade.py | 180 +------
pyproject.toml | 6 +
pytransform/__init__.py | 454 ----------------
.../__pycache__/__init__.cpython-36.pyc | Bin 11679 -> 0 bytes
.../__pycache__/__init__.cpython-38.pyc | Bin 11349 -> 0 bytes
pytransform/_pytransform.dll | Bin 1368590 -> 0 bytes
setup.py | 49 ++
src/unitgrade_devel.egg-info/PKG-INFO | 317 +++++++++++
src/unitgrade_devel.egg-info/SOURCES.txt | 18 +
.../dependency_links.txt | 1 +
src/unitgrade_devel.egg-info/requires.txt | 9 +
src/unitgrade_devel.egg-info/top_level.txt | 1 +
.../unitgrade_private2}/__init__.py | 1 +
.../unitgrade_private2/autolab}/__init__.py | 0
.../unitgrade_private2/autolab}/autolab.py | 41 +-
.../autolab}/lab_template/Makefile | 0
.../autolab}/lab_template/autograde-Makefile | 0
.../autolab}/lab_template/autograde.tar | Bin
.../autolab}/lab_template/hello.rb | 0
.../autolab}/lab_template/hello.yml | 0
.../autolab}/lab_template/src/Makefile | 0
.../lab_template/src/Makefile-handout | 0
.../autolab}/lab_template/src/README | 0
.../autolab}/lab_template/src/README-handout | 0
.../autolab}/lab_template/src/driver.sh | 0
.../lab_template/src/driver_python.py | 4 +-
.../autolab}/lab_template/src/hello.c | 0
.../autolab}/lab_template/src/hello.c-handout | 0
.../unitgrade_private2}/deployment.py | 3 +-
.../unitgrade_private2}/docker_helpers.py | 83 +--
.../unitgrade_private2}/example/report0.py | 0
.../hidden_create_files.py | 18 +-
.../hidden_gather_upload.py | 39 +-
.../unitgrade_private2}/token_loader.py | 1 -
src/unitgrade_private2/version.py | 1 +
tutorial/ncode.py | 499 ++++++++++++++++++
tutorial/ncode2.py | 363 +++++++++++++
tutorial/submission_autograder.py | 5 +
tutorial/tutorial.token | 2 +-
.../__pycache__/__init__.cpython-36.pyc | Bin 888 -> 0 bytes
.../__pycache__/__init__.cpython-38.pyc | Bin 918 -> 0 bytes
.../__pycache__/__init__.cpython-39.pyc | Bin 944 -> 0 bytes
.../__pycache__/deployment.cpython-38.pyc | Bin 1392 -> 0 bytes
.../__pycache__/deployment.cpython-39.pyc | Bin 1425 -> 0 bytes
.../__pycache__/docker_helpers.cpython-38.pyc | Bin 3165 -> 0 bytes
.../__pycache__/docker_helpers.cpython-39.pyc | Bin 3217 -> 0 bytes
.../hidden_create_files.cpython-36.pyc | Bin 3954 -> 0 bytes
.../hidden_create_files.cpython-38.pyc | Bin 4588 -> 0 bytes
.../hidden_create_files.cpython-39.pyc | Bin 4665 -> 0 bytes
.../hidden_gather_upload.cpython-36.pyc | Bin 2775 -> 0 bytes
.../hidden_gather_upload.cpython-38.pyc | Bin 4107 -> 0 bytes
.../hidden_gather_upload.cpython-39.pyc | Bin 4210 -> 0 bytes
.../__pycache__/token_loader.cpython-38.pyc | Bin 978 -> 0 bytes
.../__pycache__/__init__.cpython-38.pyc | Bin 181 -> 0 bytes
.../codejudge_example/codejudge_sum.py | 35 --
.../codejudge_example/sumfac.py | 6 -
214 files changed, 6013 insertions(+), 2128 deletions(-)
create mode 100644 LICENSE
delete mode 100644 autolab/__pycache__/autolab.cpython-38.pyc
delete mode 100644 autolab/report_autolab.py
create mode 100644 build.md
create mode 100644 cs202courseware/ascimenu.py
create mode 100644 dist/unitgrade-devel-0.0.1.tar.gz
create mode 100644 dist/unitgrade_devel-0.0.1-py3-none-any.whl
rename {autolab => docker_images}/docker_tango_python/Dockerfile (100%)
rename {autolab => docker_images}/docker_tango_python/requirements.txt (86%)
rename {examples/example_docker/instructor => docker_images}/unitgrade-docker/Dockerfile (93%)
create mode 100644 docker_images/unitgrade-docker/home/cs103/Report3_handin_5_of_30.token
rename {examples/example_docker/instructor/unitgrade-docker/tmp => docker_images/unitgrade-docker/home}/cs103/__pycache__/homework1.cpython-38.pyc (73%)
create mode 100644 docker_images/unitgrade-docker/home/cs103/__pycache__/report3_complete_grade.cpython-38.pyc
rename {examples/example_docker/instructor/unitgrade-docker/tmp => docker_images/unitgrade-docker/home}/cs103/homework1.py (100%)
rename {examples/example_docker/instructor/unitgrade-docker/tmp => docker_images/unitgrade-docker/home}/cs103/report3.py (74%)
create mode 100644 docker_images/unitgrade-docker/home/cs103/report3_complete_grade.py
create mode 100644 docker_images/unitgrade-docker/home/cs103/report3_grade.py
rename {examples/example_docker/instructor => docker_images}/unitgrade-docker/requirements.txt (86%)
create mode 100644 docker_images/unitgrade-docker/tmp/cs103/homework1.py
create mode 100644 docker_images/unitgrade-docker/tmp/cs103/report3.py
create mode 100644 docker_images/unitgrade-docker/tmp/cs103/report3_complete_grade.py
create mode 100644 docker_images/unitgrade-docker/tmp/cs103/report3_grade.py
create mode 100644 examples/02631/instructor/programs/.coverage
create mode 100644 examples/02631/instructor/programs/__pycache__/looping.cpython-38.pyc
create mode 100644 examples/02631/instructor/programs/__pycache__/report1intro.cpython-38.pyc
create mode 100644 examples/02631/instructor/programs/deploy.py
create mode 100644 examples/02631/instructor/programs/looping.py
create mode 100644 examples/02631/instructor/programs/report1intro.py
create mode 100644 examples/02631/instructor/programs/report1intro_grade.py
create mode 100644 examples/02631/instructor/programs/unitgrade/Bacteria.pkl
create mode 100644 examples/02631/instructor/programs/unitgrade/ClusterAnalysis.pkl
create mode 100644 examples/02631/instructor/programs/unitgrade/FermentationRate.pkl
create mode 100644 examples/02631/instructor/programs/unitgrade/RemoveIncomplete.pkl
create mode 100644 examples/02631/students/programs/.coverage
create mode 100644 examples/02631/students/programs/__pycache__/looping.cpython-38.pyc
create mode 100644 examples/02631/students/programs/__pycache__/report1intro.cpython-38.pyc
create mode 100644 examples/02631/students/programs/looping.py
create mode 100644 examples/02631/students/programs/report1intro.py
create mode 100644 examples/02631/students/programs/report1intro_grade.py
create mode 100644 examples/02631/students/programs/unitgrade/Bacteria.pkl
create mode 100644 examples/02631/students/programs/unitgrade/ClusterAnalysis.pkl
create mode 100644 examples/02631/students/programs/unitgrade/FermentationRate.pkl
create mode 100644 examples/02631/students/programs/unitgrade/RemoveIncomplete.pkl
create mode 100644 examples/example_docker/instructor/cs103/.coverage
create mode 100644 examples/example_docker/instructor/cs103/Report3_handin_25_of_30.token
create mode 100644 examples/example_docker/instructor/cs103/Report3_handin_30_of_30.token
delete mode 100644 examples/example_docker/instructor/unitgrade-docker/tmp/cs103/Report3_handin_5_of_30.token
delete mode 100644 examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_complete_grade.py
delete mode 100644 examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_grade.py
create mode 100644 examples/example_docker/run_all_docker.py
create mode 100644 examples/example_docker/students/cs103/.coverage
rename examples/example_docker/{instructor/unitgrade-docker/tmp/cs103/__pycache__/report3_complete_grade.cpython-38.pyc => students/cs103/__pycache__/report3_complete_grade.cpython-39.pyc} (90%)
create mode 100644 examples/example_flat/instructor/cs101flat/Report1Flat_handin_10_of_10.token
create mode 100644 examples/example_flat/instructor/cs101flat/__pycache__/deploy.cpython-38.pyc
create mode 100644 examples/example_flat/instructor/cs101flat/__pycache__/homework1.cpython-38.pyc
create mode 100644 examples/example_flat/instructor/cs101flat/__pycache__/report1flat.cpython-38.pyc
create mode 100644 examples/example_flat/instructor/cs101flat/deploy.py
create mode 100644 examples/example_flat/instructor/cs101flat/homework1.py
create mode 100644 examples/example_flat/instructor/cs101flat/report1flat.py
create mode 100644 examples/example_flat/instructor/cs101flat/report1flat_grade.py
create mode 100644 examples/example_flat/students/cs101flat/Report1Flat_handin_0_of_10.token
create mode 100644 examples/example_flat/students/cs101flat/__pycache__/deploy.cpython-38.pyc
create mode 100644 examples/example_flat/students/cs101flat/__pycache__/homework1.cpython-38.pyc
create mode 100644 examples/example_flat/students/cs101flat/__pycache__/report1flat.cpython-38.pyc
create mode 100644 examples/example_flat/students/cs101flat/__pycache__/report1flat_grade.cpython-38.pyc
create mode 100644 examples/example_flat/students/cs101flat/homework1.py
create mode 100644 examples/example_flat/students/cs101flat/report1flat.py
create mode 100644 examples/example_flat/students/cs101flat/report1flat_grade.py
create mode 100644 examples/example_framework/instructor/cs102/.coverage
delete mode 100644 examples/example_framework/instructor/cs102/Report2_handin_10_of_18.token
create mode 100644 examples/example_framework/instructor/cs102/Report2_handin_13_of_18.token
delete mode 100644 examples/example_framework/instructor/cs102/Report2_handin_28_of_28.token
delete mode 100644 examples/example_framework/instructor/cs102/Report2_handin_5_of_18.token
delete mode 100644 examples/example_framework/instructor/cs102/Report2_handin_5_of_28.token
create mode 100644 examples/example_framework/instructor/cs102/__pycache__/deploy.cpython-38.pyc
create mode 100644 examples/example_framework/students/cs102/.coverage
delete mode 100644 examples/example_framework/students/cs102/Report2_handin_0_of_18.token
create mode 100644 examples/example_framework/students/cs102/__pycache__/deploy.cpython-38.pyc
create mode 100644 examples/example_jupyter/instructor/cs105/.coverage
create mode 100644 examples/example_jupyter/instructor/cs105/Report1Jupyter_handin_18_of_18.token
create mode 100644 examples/example_jupyter/instructor/cs105/__pycache__/homework1.cpython-38.pyc
create mode 100644 examples/example_jupyter/instructor/cs105/__pycache__/report5.cpython-38.pyc
create mode 100644 examples/example_jupyter/instructor/cs105/__pycache__/week2.cpython-38.pyc
create mode 100644 examples/example_jupyter/instructor/cs105/deploy.py
create mode 100644 examples/example_jupyter/instructor/cs105/homework1.py
create mode 100644 examples/example_jupyter/instructor/cs105/report5.py
create mode 100644 examples/example_jupyter/instructor/cs105/report5_grade.py
create mode 100644 examples/example_jupyter/instructor/cs105/unitgrade/Question2.pkl
create mode 100644 examples/example_jupyter/instructor/cs105/unitgrade/Week1.pkl
rename examples/{02471/instructor/02471/week02 => example_jupyter/instructor/cs105}/week2.ipynb (100%)
create mode 100644 examples/example_jupyter/students/cs105/.coverage
create mode 100644 examples/example_jupyter/students/cs105/__pycache__/homework1.cpython-38.pyc
create mode 100644 examples/example_jupyter/students/cs105/__pycache__/report5.cpython-38.pyc
create mode 100644 examples/example_jupyter/students/cs105/__pycache__/week2.cpython-38.pyc
create mode 100644 examples/example_jupyter/students/cs105/homework1.py
create mode 100644 examples/example_jupyter/students/cs105/report5.py
create mode 100644 examples/example_jupyter/students/cs105/report5_grade.py
create mode 100644 examples/example_jupyter/students/cs105/unitgrade/Question2.pkl
create mode 100644 examples/example_jupyter/students/cs105/unitgrade/Week1.pkl
create mode 100644 examples/example_jupyter/students/cs105/week2.ipynb
create mode 100644 examples/example_simplest/instructor/cs101/__pycache__/deploy.cpython-38.pyc
delete mode 100644 examples/example_simplest/students/cs101/Report1_handin_0_of_10.token
create mode 100644 examples/example_simplest/students/cs101/__pycache__/deploy.cpython-38.pyc
create mode 100644 pyproject.toml
delete mode 100644 pytransform/__init__.py
delete mode 100644 pytransform/__pycache__/__init__.cpython-36.pyc
delete mode 100644 pytransform/__pycache__/__init__.cpython-38.pyc
delete mode 100644 pytransform/_pytransform.dll
create mode 100644 setup.py
create mode 100644 src/unitgrade_devel.egg-info/PKG-INFO
create mode 100644 src/unitgrade_devel.egg-info/SOURCES.txt
create mode 100644 src/unitgrade_devel.egg-info/dependency_links.txt
create mode 100644 src/unitgrade_devel.egg-info/requires.txt
create mode 100644 src/unitgrade_devel.egg-info/top_level.txt
rename {unitgrade_private2 => src/unitgrade_private2}/__init__.py (97%)
rename {unitgrade_private2/codejudge_example => src/unitgrade_private2/autolab}/__init__.py (100%)
rename {autolab => src/unitgrade_private2/autolab}/autolab.py (89%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/Makefile (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/autograde-Makefile (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/autograde.tar (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/hello.rb (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/hello.yml (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/Makefile (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/Makefile-handout (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/README (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/README-handout (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/driver.sh (100%)
mode change 100755 => 100644
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/driver_python.py (96%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/hello.c (100%)
rename {autolab => src/unitgrade_private2/autolab}/lab_template/src/hello.c-handout (100%)
rename {unitgrade_private2 => src/unitgrade_private2}/deployment.py (94%)
rename {unitgrade_private2 => src/unitgrade_private2}/docker_helpers.py (58%)
rename {unitgrade_private2 => src/unitgrade_private2}/example/report0.py (100%)
rename {unitgrade_private2 => src/unitgrade_private2}/hidden_create_files.py (91%)
rename {unitgrade_private2 => src/unitgrade_private2}/hidden_gather_upload.py (85%)
rename {unitgrade_private2 => src/unitgrade_private2}/token_loader.py (99%)
create mode 100644 src/unitgrade_private2/version.py
create mode 100644 tutorial/ncode.py
create mode 100644 tutorial/ncode2.py
delete mode 100644 unitgrade_private2/__pycache__/__init__.cpython-36.pyc
delete mode 100644 unitgrade_private2/__pycache__/__init__.cpython-38.pyc
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delete mode 100644 unitgrade_private2/__pycache__/hidden_gather_upload.cpython-36.pyc
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delete mode 100644 unitgrade_private2/__pycache__/hidden_gather_upload.cpython-39.pyc
delete mode 100644 unitgrade_private2/__pycache__/token_loader.cpython-38.pyc
delete mode 100644 unitgrade_private2/codejudge_example/__pycache__/__init__.cpython-38.pyc
delete mode 100644 unitgrade_private2/codejudge_example/codejudge_sum.py
delete mode 100644 unitgrade_private2/codejudge_example/sumfac.py
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..335ea9d
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,19 @@
+Copyright (c) 2018 The Python Packaging Authority
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
\ No newline at end of file
diff --git a/README.md b/README.md
index 410439e..577ac9a 100644
--- a/README.md
+++ b/README.md
@@ -55,41 +55,48 @@ if __name__ == "__main__":
```
### The test:
The test consists of individual problems and a report-class. The tests themselves are just regular Unittest (we will see a slightly smarter idea in a moment). For instance:
+
```python
-from homework1 import reverse_list, add
+from looping import reverse_list, add
import unittest
+
class Week1(unittest.TestCase):
def test_add(self):
- self.assertEqual(add(2,2), 4)
+ self.assertEqual(add(2, 2), 4)
self.assertEqual(add(-100, 5), -95)
def test_reverse(self):
- self.assertEqual(reverse_list([1,2,3]), [3,2,1])
+ self.assertEqual(reverse_list([1, 2, 3]), [3, 2, 1])
```
A number of tests can be collected into a `Report`, which will allow us to assign points to the tests and use the more advanced features of the framework later. A complete, minimal example:
```python
-from unitgrade2.unitgrade2 import Report
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
-from homework1 import reverse_list, add
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
+from looping import reverse_list, add
import unittest
+
class Week1(unittest.TestCase):
def test_add(self):
- self.assertEqual(add(2,2), 4)
+ self.assertEqual(add(2, 2), 4)
self.assertEqual(add(-100, 5), -95)
def test_reverse(self):
- self.assertEqual(reverse_list([1,2,3]), [3,2,1])
+ self.assertEqual(reverse_list([1, 2, 3]), [3, 2, 1])
+
import cs101
+
+
class Report1(Report):
title = "CS 101 Report 1"
questions = [(Week1, 10)] # Include a single question for 10 credits.
pack_imports = [cs101]
+
if __name__ == "__main__":
# Uncomment to simply run everything as a unittest:
# unittest.main(verbosity=2)
@@ -109,7 +116,7 @@ if __name__ == "__main__":
setup_grade_file_report(Report1, minify=False, obfuscate=False, execute=False)
# Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
- snip_dir.snip_dir(source_dir="../cs101", dest_dir="../../students/cs101", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
+ snip_dir.snip_dir(source_dir="../programs", dest_dir="../../students/programs", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
```
- The first line creates the `report1_grade.py` script and any additional data files needed by the tests (none in this case)
@@ -193,15 +200,18 @@ also that the students implementations didn't just detect what input was being u
return the correct answer. To do that you need hidden tests and external validation.
Our new testclass looks like this:
+
```python
-from unitgrade2.unitgrade2 import UTestCase, Report, hide
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import UTestCase, Report, hide
+from src.unitgrade2 import evaluate_report_student
+
class Week1(UTestCase):
""" The first question for week 1. """
+
def test_add(self):
from cs103.homework1 import add
- self.assertEqualC(add(2,2))
+ self.assertEqualC(add(2, 2))
self.assertEqualC(add(-100, 5))
@hide
@@ -209,14 +219,18 @@ class Week1(UTestCase):
# This is a hidden test. The @hide-decorator will allow unitgrade to remove the test.
# See the output in the student directory for more information.
from cs103.homework1 import add
- self.assertEqualC(add(2,2))
+ self.assertEqualC(add(2, 2))
+
import cs103
+
+
class Report3(Report):
title = "CS 101 Report 3"
questions = [(Week1, 20)] # Include a single question for 10 credits.
pack_imports = [cs103]
+
if __name__ == "__main__":
evaluate_report_student(Report3())
```
diff --git a/autolab/__pycache__/autolab.cpython-38.pyc b/autolab/__pycache__/autolab.cpython-38.pyc
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diff --git a/autolab/report_autolab.py b/autolab/report_autolab.py
deleted file mode 100644
index e69de29..0000000
diff --git a/build.md b/build.md
new file mode 100644
index 0000000..4ba0737
--- /dev/null
+++ b/build.md
@@ -0,0 +1,18 @@
+# Unitgrade build info
+
+See https://packaging.python.org/tutorials/packaging-projects/
+
+- Build the distribution package using:
+```
+py -m pip install --upgrade build && py -m build
+```
+- Upload to test repo
+```
+py -m pip install --upgrade twine && py -m twine upload --repository testpypi dist/*
+```
+
+### build and upload (to actual pypi; remember the .pypi token. you can find it in personal dtu repo)
+```
+rm -f dists/* && py -m build && twine upload dist/*
+```
+
diff --git a/cs202courseware/ascimenu.py b/cs202courseware/ascimenu.py
new file mode 100644
index 0000000..c5f1561
--- /dev/null
+++ b/cs202courseware/ascimenu.py
@@ -0,0 +1,43 @@
+from prompt_toolkit.application import Application
+from prompt_toolkit.application.current import get_app
+from prompt_toolkit.key_binding import KeyBindings
+from prompt_toolkit.key_binding.bindings.focus import focus_next, focus_previous
+from prompt_toolkit.layout import Dimension, HSplit, Layout, ScrollablePane
+from prompt_toolkit.widgets import Frame, Label, TextArea
+
+print("hello")
+
+z = 234
+def main():
+ # Create a big layout of many text areas, then wrap them in a `ScrollablePane`.
+ root_container = Frame(
+ ScrollablePane(
+ HSplit(
+ [
+ Frame(TextArea(text=f"label-{i}"), width=Dimension())
+ for i in range(20)
+ ]
+ )
+ )
+ # ScrollablePane(HSplit([TextArea(text=f"label-{i}") for i in range(20)]))
+ )
+
+ layout = Layout(container=root_container)
+
+ # Key bindings.
+ kb = KeyBindings()
+
+ @kb.add("c-c")
+ def exit(event) -> None:
+ get_app().exit()
+
+ kb.add("down")(focus_next)
+ kb.add("up")(focus_previous)
+
+ # Create and run application.
+ application = Application(layout=layout, key_bindings=kb, full_screen=True)
+ application.run()
+
+
+if __name__ == "__main__":
+ main()
\ No newline at end of file
diff --git a/cs202courseware/ug2report1.py b/cs202courseware/ug2report1.py
index 586a004..e0e7e05 100644
--- a/cs202courseware/ug2report1.py
+++ b/cs202courseware/ug2report1.py
@@ -1,16 +1,13 @@
# from unitgrade.unitgrade import QuestionGroup, Report, QPrintItem
# from unitgrade.unitgrade_helpers import evaluate_report_student
-from cs202courseware import homework1
-import unittest
-
-from unitgrade2.unitgrade2 import wrapper, UTestCase, cache
+from src.unitgrade2.unitgrade2 import UTestCase, cache
from unittest import TestCase
# from unitgrade2.unitgrade2 import cache
-from unitgrade2.unitgrade2 import methodsWithDecorator, hide
+from src.unitgrade2.unitgrade2 import hide
import random
-from cs202courseware.homework1 import reverse_list, my_sum
+from cs202courseware.homework1 import my_sum
class TestPartial(TestCase):
def test_a(self):
@@ -83,7 +80,7 @@ class ListQuestion(UTestCase):
""" ccc test_integers-short """
self.assertEqual(2,2)
-from unitgrade2.unitgrade2 import Report
+from src.unitgrade2.unitgrade2 import Report
class Report1(Report):
title = "CS 202 Report 1"
@@ -97,7 +94,6 @@ class Report1(Report):
pack_imports = [cs202courseware] # Include this file in .token file
a = 234
-import coverage
if __name__ == "__main__":
"""
@@ -113,7 +109,7 @@ if __name__ == "__main__":
# print(inspect.getsourcelines(f) ) # How to get all hidden questions.
- from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+ from src.unitgrade2 import evaluate_report_student
# cov = coverage.Coverage()
# cov.start()
diff --git a/cs202courseware/ug2report1_nohidden.py b/cs202courseware/ug2report1_nohidden.py
index 180417c..3e94a57 100644
--- a/cs202courseware/ug2report1_nohidden.py
+++ b/cs202courseware/ug2report1_nohidden.py
@@ -1,17 +1,14 @@
# from unitgrade.unitgrade import QuestionGroup, Report, QPrintItem
# from unitgrade.unitgrade_helpers import evaluate_report_student
-from cs202courseware import homework1
-import unittest
-
-from unitgrade2.unitgrade2 import wrapper, UTestCase, cache
+from src.unitgrade2.unitgrade2 import UTestCase, cache
# from unitgrade2.unitgrade2 import cache
-from unitgrade2.unitgrade2 import methodsWithDecorator, hide
+from src.unitgrade2.unitgrade2 import methodsWithDecorator, hide
import random
-from cs101courseware_example.homework1 import reverse_list, my_sum
+from cs101courseware_example.homework1 import my_sum
class GeneratorQuestion(UTestCase):
def genTest(self, n):
@@ -57,7 +54,7 @@ class ListQuestion(UTestCase):
""" ccc test_integers-short """
self.assertEqual(2,2)
-from unitgrade2.unitgrade2 import Report
+from src.unitgrade2.unitgrade2 import Report
class Report1(Report):
title = "CS 202 Report 1"
@@ -103,7 +100,7 @@ if __name__ == "__main__":
for f in ls:
print(inspect.getsourcelines(f) ) # How to get all hidden questions.
- from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+ from src.unitgrade2 import evaluate_report_student
evaluate_report_student( Report1() )
diff --git a/dist/unitgrade-devel-0.0.1.tar.gz b/dist/unitgrade-devel-0.0.1.tar.gz
new file mode 100644
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diff --git a/autolab/docker_tango_python/Dockerfile b/docker_images/docker_tango_python/Dockerfile
similarity index 100%
rename from autolab/docker_tango_python/Dockerfile
rename to docker_images/docker_tango_python/Dockerfile
diff --git a/autolab/docker_tango_python/requirements.txt b/docker_images/docker_tango_python/requirements.txt
similarity index 86%
rename from autolab/docker_tango_python/requirements.txt
rename to docker_images/docker_tango_python/requirements.txt
index 9db6120..0a73d68 100644
--- a/autolab/docker_tango_python/requirements.txt
+++ b/docker_images/docker_tango_python/requirements.txt
@@ -4,3 +4,4 @@ jinja2
tabulate
compress_pickle
pyfiglet
+colorama
\ No newline at end of file
diff --git a/examples/example_docker/instructor/unitgrade-docker/Dockerfile b/docker_images/unitgrade-docker/Dockerfile
similarity index 93%
rename from examples/example_docker/instructor/unitgrade-docker/Dockerfile
rename to docker_images/unitgrade-docker/Dockerfile
index 08764b5..98a4007 100644
--- a/examples/example_docker/instructor/unitgrade-docker/Dockerfile
+++ b/docker_images/unitgrade-docker/Dockerfile
@@ -5,7 +5,7 @@ FROM python:3.8-slim-buster
RUN apt-get -y update
RUN apt-get -y install git
-WORKDIR /app
+WORKDIR /home
# Remember to include requirements.
COPY requirements.txt requirements.txt
@@ -16,6 +16,6 @@ RUN pip3 install -r requirements.txt
COPY . .
-ADD . /app
+ADD . /home
# CMD [ "python3", "app.py"]
diff --git a/docker_images/unitgrade-docker/home/cs103/Report3_handin_5_of_30.token b/docker_images/unitgrade-docker/home/cs103/Report3_handin_5_of_30.token
new file mode 100644
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diff --git a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/__pycache__/homework1.cpython-38.pyc b/docker_images/unitgrade-docker/home/cs103/__pycache__/homework1.cpython-38.pyc
similarity index 73%
rename from examples/example_docker/instructor/unitgrade-docker/tmp/cs103/__pycache__/homework1.cpython-38.pyc
rename to docker_images/unitgrade-docker/home/cs103/__pycache__/homework1.cpython-38.pyc
index 6403436716a672ff6c51a7026fc0edf847aa3213..d57142a7eeb21f6b172586b47613efbfeadc1082 100644
GIT binary patch
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delta 31
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diff --git a/docker_images/unitgrade-docker/home/cs103/__pycache__/report3_complete_grade.cpython-38.pyc b/docker_images/unitgrade-docker/home/cs103/__pycache__/report3_complete_grade.cpython-38.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..aa3a3187faae8d51a53e55a82bd75e0521299a19
GIT binary patch
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diff --git a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/homework1.py b/docker_images/unitgrade-docker/home/cs103/homework1.py
similarity index 100%
rename from examples/example_docker/instructor/unitgrade-docker/tmp/cs103/homework1.py
rename to docker_images/unitgrade-docker/home/cs103/homework1.py
diff --git a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3.py b/docker_images/unitgrade-docker/home/cs103/report3.py
similarity index 74%
rename from examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3.py
rename to docker_images/unitgrade-docker/home/cs103/report3.py
index c97b5a4..f83bb53 100644
--- a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3.py
+++ b/docker_images/unitgrade-docker/home/cs103/report3.py
@@ -1,8 +1,8 @@
"""
Example student code. This file is automatically generated from the files in the instructor-directory
"""
-from unitgrade2.unitgrade2 import UTestCase, Report, hide
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import UTestCase, Report
+from src.unitgrade2 import evaluate_report_student
class Week1(UTestCase):
""" The first question for week 1. """
@@ -24,4 +24,6 @@ class Report3(Report):
pack_imports = [cs103]
if __name__ == "__main__":
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet(Report3())
evaluate_report_student(Report3())
diff --git a/docker_images/unitgrade-docker/home/cs103/report3_complete_grade.py b/docker_images/unitgrade-docker/home/cs103/report3_complete_grade.py
new file mode 100644
index 0000000..8ea5f2e
--- /dev/null
+++ b/docker_images/unitgrade-docker/home/cs103/report3_complete_grade.py
@@ -0,0 +1,338 @@
+
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f" * q{n+1}) Total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.normpath(os.path.join(output_dir, token))\n\n\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n @hide\n def test_add_hidden(self):\n # This is a hidden test. The @hide-decorator will allow unitgrade to remove the test.\n # See the output in the student directory for more information.\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n @hide\n def test_hidden_fail(self):\n self.assertEqual(2,3)\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
+report1_payload = '80049589000000000000007d94288c055765656b31947d942868018c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b047568018c0f746573745f6164645f68696464656e948694680586947d944b004b04738c0474696d6594473fe3b8a400000000758c0d4175746f6d6174696350617373947d94680c473fc45a520000000073752e'
+name="Report3"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
\ No newline at end of file
diff --git a/docker_images/unitgrade-docker/home/cs103/report3_grade.py b/docker_images/unitgrade-docker/home/cs103/report3_grade.py
new file mode 100644
index 0000000..3c64c04
--- /dev/null
+++ b/docker_images/unitgrade-docker/home/cs103/report3_grade.py
@@ -0,0 +1,340 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f" * q{n+1}) Total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.normpath(os.path.join(output_dir, token))\n\n\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
+report1_payload = '80049568000000000000007d94288c055765656b31947d942868018c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b04758c0474696d6594473fb71ac800000000758c0d4175746f6d6174696350617373947d946808473fb127100000000073752e'
+name="Report3"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
diff --git a/examples/example_docker/instructor/unitgrade-docker/requirements.txt b/docker_images/unitgrade-docker/requirements.txt
similarity index 86%
rename from examples/example_docker/instructor/unitgrade-docker/requirements.txt
rename to docker_images/unitgrade-docker/requirements.txt
index 9db6120..0a73d68 100644
--- a/examples/example_docker/instructor/unitgrade-docker/requirements.txt
+++ b/docker_images/unitgrade-docker/requirements.txt
@@ -4,3 +4,4 @@ jinja2
tabulate
compress_pickle
pyfiglet
+colorama
\ No newline at end of file
diff --git a/docker_images/unitgrade-docker/tmp/cs103/homework1.py b/docker_images/unitgrade-docker/tmp/cs103/homework1.py
new file mode 100644
index 0000000..3543f1b
--- /dev/null
+++ b/docker_images/unitgrade-docker/tmp/cs103/homework1.py
@@ -0,0 +1,21 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+def reverse_list(mylist):
+ """
+ Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
+ reverse_list([1,2,3]) should return [3,2,1] (as a list).
+ """
+ # TODO: 1 lines missing.
+ raise NotImplementedError("Implement function body")
+
+def add(a,b):
+ """ Given two numbers `a` and `b` this function should simply return their sum:
+ > add(a,b) = a+b """
+ # TODO: 1 lines missing.
+ raise NotImplementedError("Implement function body")
+
+if __name__ == "__main__":
+ # Problem 1: Write a function which add two numbers
+ print(f"Your result of 2 + 2 = {add(2,2)}")
+ print(f"Reversing a small list", reverse_list([2,3,5,7]))
diff --git a/docker_images/unitgrade-docker/tmp/cs103/report3.py b/docker_images/unitgrade-docker/tmp/cs103/report3.py
new file mode 100644
index 0000000..f83bb53
--- /dev/null
+++ b/docker_images/unitgrade-docker/tmp/cs103/report3.py
@@ -0,0 +1,29 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+from src.unitgrade2.unitgrade2 import UTestCase, Report
+from src.unitgrade2 import evaluate_report_student
+
+class Week1(UTestCase):
+ """ The first question for week 1. """
+ def test_add(self):
+ from cs103.homework1 import add
+ self.assertEqualC(add(2,2))
+ self.assertEqualC(add(-100, 5))
+
+
+class AutomaticPass(UTestCase):
+ def test_student_passed(self):
+ self.assertEqual(2,2)
+
+
+import cs103
+class Report3(Report):
+ title = "CS 101 Report 3"
+ questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.
+ pack_imports = [cs103]
+
+if __name__ == "__main__":
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet(Report3())
+ evaluate_report_student(Report3())
diff --git a/docker_images/unitgrade-docker/tmp/cs103/report3_complete_grade.py b/docker_images/unitgrade-docker/tmp/cs103/report3_complete_grade.py
new file mode 100644
index 0000000..1101b26
--- /dev/null
+++ b/docker_images/unitgrade-docker/tmp/cs103/report3_complete_grade.py
@@ -0,0 +1,338 @@
+
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f" * q{n+1}) Total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.normpath(os.path.join(output_dir, token))\n\n\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n @hide\n def test_add_hidden(self):\n # This is a hidden test. The @hide-decorator will allow unitgrade to remove the test.\n # See the output in the student directory for more information.\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n @hide\n def test_hidden_fail(self):\n self.assertEqual(2,3)\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
+report1_payload = '80049589000000000000007d94288c055765656b31947d942868018c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b047568018c0f746573745f6164645f68696464656e948694680586947d944b004b04738c0474696d6594473fda6e8700000000758c0d4175746f6d6174696350617373947d94680c473fb8d5140000000073752e'
+name="Report3"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
\ No newline at end of file
diff --git a/docker_images/unitgrade-docker/tmp/cs103/report3_grade.py b/docker_images/unitgrade-docker/tmp/cs103/report3_grade.py
new file mode 100644
index 0000000..85573c9
--- /dev/null
+++ b/docker_images/unitgrade-docker/tmp/cs103/report3_grade.py
@@ -0,0 +1,340 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f" * q{n+1}) Total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.normpath(os.path.join(output_dir, token))\n\n\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
+report1_payload = '80049568000000000000007d94288c055765656b31947d942868018c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b04758c0474696d6594473fb1eb1c00000000758c0d4175746f6d6174696350617373947d946808473fa78d300000000073752e'
+name="Report3"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
diff --git a/examples/02471/instructor/02471/report1.py b/examples/02471/instructor/02471/report1.py
index 1ed131f..96bb952 100644
--- a/examples/02471/instructor/02471/report1.py
+++ b/examples/02471/instructor/02471/report1.py
@@ -114,7 +114,7 @@ if __name__ == "__main__":
# from week02 import Week_2_sol
import importnb
- file = "week02/week2.ipynb"
+ file = "../../../example_jupyter/instructor/cs105/week2.ipynb"
file2 = 'week02/Week_2_sol.ipynb'
m = importnb.Notebook.load(file)
# importnb.Notebook.l
diff --git a/examples/02631/instructor/programs/.coverage b/examples/02631/instructor/programs/.coverage
new file mode 100644
index 0000000000000000000000000000000000000000..11b2ec620c9b142ae8ee79c7a6f5afa297121530
GIT binary patch
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diff --git a/examples/02631/instructor/programs/deploy.py b/examples/02631/instructor/programs/deploy.py
new file mode 100644
index 0000000..6099792
--- /dev/null
+++ b/examples/02631/instructor/programs/deploy.py
@@ -0,0 +1,62 @@
+from report1intro import Report1Flat
+from unitgrade_private2.hidden_create_files import setup_grade_file_report
+from snipper import snip_dir
+
+if __name__ == "__main__":
+ setup_grade_file_report(Report1Flat, minify=False, obfuscate=False, execute=False, with_coverage=True)
+
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet((Report1Flat()))
+
+ # Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
+ snip_dir.snip_dir(source_dir="", dest_dir="../../students/programs", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
+
+ import os
+ os.system("python report1intro_grade.py")
+
+
+"""
+from coverage import CoverageData
+import coverage
+cov2 = coverage.Coverage()
+
+ def setUp(self):
+ import trace
+ self.cov = cov2
+ self.cov.start()
+
+
+
+ # self.tracer.start()
+
+ # using obj_to_trace
+
+ def tearDown(self) -> None:
+
+ self.cov.stop()
+ print()
+
+ data = CoverageData()
+
+ # data.measured_files()
+ # data.lines()
+ data = self.cov.get_data()
+ # data.
+ for file in data.measured_files():
+ print(file)
+ print(data.lines(file))
+ print(data.arcs(file))
+ print( data.contexts_by_lineno(file))
+
+ # print(data[file])
+
+
+
+- Idea: Measure coverage in setup/teardown. This gives a handful of covered lines.
+- During setup, supply a dicionary to UTestCase of files, along with the lines that are removed.
+- When running setup: Take the coverage report, and compare against files. Write functions/lines encountered to the cache dictionary. Rquires you to
+- inspect the functions that are edited to figure out what is removed. This can probably be done by going upwars towards the first sensible class or function definition (which has not been removed).
+- Supply a dictionary to UTestCase of files, along with the lines edited. Allow UTestCase to write this information to the
+ cache dictionary (i.e. lines removed). Then use this information when displaying helpful hints later.
+
+"""
\ No newline at end of file
diff --git a/examples/02631/instructor/programs/looping.py b/examples/02631/instructor/programs/looping.py
new file mode 100644
index 0000000..59a1485
--- /dev/null
+++ b/examples/02631/instructor/programs/looping.py
@@ -0,0 +1,64 @@
+import numpy as np
+import itertools
+
+def bacteriaGrowth(n0, alpha, K, N): #!f
+ """
+ Calculate time until bacteria growth exceed N starting from a population of n0 bacteria.
+ hints:
+ * consider n0
+ * alpha > 0
+ :param n0:
+ :param alpha:
+ :param K:
+ :param N:
+ :return:
+ """
+ if n0 > N:
+ return 0
+ for t in itertools.count():
+ n0 = (1 + alpha * (1-n0 / K) ) * n0
+ if n0 > N:
+ break
+ return t+1
+
+def clusterAnalysis(reflectance):
+ reflectance = np.asarray(reflectance)
+ I1 = np.arange(len(reflectance)) % 2 == 1
+ while True:
+ m = np.asarray( [np.mean( reflectance[~I1] ), np.mean( reflectance[I1] ) ] )
+ I1_ = np.argmin( np.abs( reflectance[:, np.newaxis] - m[np.newaxis, :] ), axis=1) == 1
+ if all(I1_ == I1):
+ break
+ I1 = I1_
+ return I1 + 1
+
+def fermentationRate(measuredRate, lowerBound, upperBound):
+ # Insert your code here
+ return np.mean( [r for r in measuredRate if lowerBound < r < upperBound] )
+
+
+
+
+def removeIncomplete(id):
+ """ Hints:
+ * Take a look at the example in the exercise.
+ """
+ id = np.asarray(id)
+ id2 = []
+ for i, v in enumerate(id):
+ if len( [x for x in id if int(x) == int(v) ] ) == 3:
+ id2.append(v)
+ return np.asarray(id2)
+
+
+if __name__ == "__main__":
+ # I = clusterAnalysis([1.7, 1.6, 1.3, 1.3, 2.8, 1.4, 2.8, 2.6, 1.6, 2.7])
+ # print(I)
+
+ print(fermentationRate(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25))
+
+
+ # print(removeIncomplete(np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1])))
+
+ # Problem 1: Write a function which add two numbers
+ # clusterAnalysis([2, 1, 2, 4, 5])
\ No newline at end of file
diff --git a/examples/02631/instructor/programs/report1intro.py b/examples/02631/instructor/programs/report1intro.py
new file mode 100644
index 0000000..10b1898
--- /dev/null
+++ b/examples/02631/instructor/programs/report1intro.py
@@ -0,0 +1,139 @@
+from src.unitgrade2.unitgrade2 import Report, UTestCase, cache
+from src.unitgrade2 import evaluate_report_student
+import numpy as np
+import looping
+from looping import bacteriaGrowth, clusterAnalysis, removeIncomplete, fermentationRate
+
+def trlist(x):
+ s = str(list(x))
+ if len(s) > 30:
+ s = s[:30] + "...]"
+ return s
+
+class Bacteria(UTestCase):
+ """ Bacteria growth rates """
+
+ def stest(self, n0, alpha, K, N):
+ g = bacteriaGrowth(n0=n0, alpha=alpha, K=K, N=N)
+ self.title = f"bacteriaGrowth({n0}, {alpha}, {K}, {N}) = {g} ?"
+ self.assertEqualC(g)
+
+ def test_growth1(self):
+ """ Hints:
+ * Make sure to frobulate the frobulator.
+ """
+ self.stest(100, 0.4, 1000, 500)
+
+ def test_growth2(self):
+ self.stest(10, 0.4, 1000, 500)
+
+ def test_growth3(self):
+ self.stest(100, 1.4, 1000, 500)
+
+ def test_growth4(self):
+ self.stest(100, 0.0004, 1000, 500)
+
+ def test_growth5(self):
+ """
+ hints:
+ * What happens when n0 > N? (in this case return t=0) """
+ self.stest(100, 0.4, 1000, 99)
+
+class ClusterAnalysis(UTestCase):
+ """ Test the cluster analysis method """
+
+ def stest(self, n, seed):
+ np.random.seed(seed)
+ x = np.round(np.random.rand(n), 1)
+ I = clusterAnalysis(x)
+ self.title = f"clusterAnalysis({list(x)}) = {list(I)} ?"
+ self.assertEqualC(list(I))
+
+ def test_cluster1(self):
+ """ Hints:
+ * Make sure to frobulate the frobulator.
+ * Just try harder
+ """
+ self.stest(3, 10)
+
+ def test_cluster2(self):
+ self.stest(4, 146)
+
+ def test_cluster3(self):
+ self.stest(5, 12)
+
+ def test_cluster4(self):
+ """
+ Cluster analysis for tied lists
+ Hints:
+ * It may be that an observations has the same distance to the two clusters. Where do you assign it in this case?
+ """
+ x = np.array([10.0, 12.0, 10.0, 12.0, 9.0, 11.0, 11.0, 13.0])
+ self.assertEqualC(list(clusterAnalysis(x) ) )
+
+
+class RemoveIncomplete(UTestCase):
+ """ Remove incomplete IDs """
+
+ def stest(self, x):
+ I = list( removeIncomplete(x) )
+ self.title = f"removeId({trlist(x)}) = {trlist(I)} ?"
+ self.assertEqualC(I)
+
+ @cache
+ def rseq(self, max, n):
+ np.random.seed(42)
+ return np.random.randint(max, size=(n,) ) + (np.random.randint(2, size=(n,) )+1)/10
+
+ def test_incomplete1(self):
+ self.stest( np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1]) )
+
+ def test_incomplete2(self):
+ self.stest( np.array([1.1, 1.2, 1.3, 2.1, 2.2, 2.3]) )
+
+ def test_incomplete3(self):
+ self.stest(np.array([5.1, 5.2, 4.1, 4.3, 4.2, 8.1, 8.2, 8.3]) )
+
+ def test_incomplete4(self):
+ self.stest(np.array([1.1, 1.3, 2.1, 2.2, 3.1, 3.3, 4.1, 4.2, 4.3]) )
+
+ def test_incomplete5(self):
+ self.stest(self.rseq(10, 40))
+
+
+class FermentationRate(UTestCase):
+ """ Test the fermentation rate question """
+
+ def stest(self, x, lower, upper):
+ I = fermentationRate(x, lower, upper)
+ s = trlist(x)
+ self.title = f"fermentationRate({s}, {lower}, {upper}) = {I:.3f} ?"
+ self.assertEqualC(I)
+
+ @cache
+ def rseq(self, max, n):
+ np.random.seed(42)
+ return np.random.randint(max, size=(n,) ) + (np.random.randint(3, size=(n,) )+1)/n
+
+ def test_rate1(self):
+ self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25)
+
+ def test_rate2(self):
+ self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 1, 200)
+
+ def test_rate3(self):
+ self.stest(np.array([1.75]), 1, 2)
+
+ def test_rate4(self):
+ self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 18.2, 20)
+
+
+class Report1Flat(Report):
+ title = "Week 4: Looping"
+ questions = [(ClusterAnalysis, 10), (RemoveIncomplete, 10), (Bacteria, 10), (FermentationRate, 10),]
+ pack_imports = [looping]
+
+if __name__ == "__main__":
+ # Uncomment to simply run everything as a unittest:
+ # unittest.main(verbosity=2)
+ evaluate_report_student(Report1Flat())
diff --git a/examples/02631/instructor/programs/report1intro_grade.py b/examples/02631/instructor/programs/report1intro_grade.py
new file mode 100644
index 0000000..4381d55
--- /dev/null
+++ b/examples/02631/instructor/programs/report1intro_grade.py
@@ -0,0 +1,337 @@
+
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ # nL =
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f"Question {n+1} total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.join(output_dir, token)
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n # nL =\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"Question {n+1} total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nimport numpy as np\nimport looping\nfrom looping import bacteriaGrowth, clusterAnalysis, removeIncomplete, fermentationRate\n\ndef trlist(x):\n s = str(list(x))\n if len(s) > 30:\n s = s[:30] + "...]"\n return s\n\nclass Bacteria(UTestCase):\n """ Bacteria growth rates """\n\n def stest(self, n0, alpha, K, N):\n g = bacteriaGrowth(n0=n0, alpha=alpha, K=K, N=N)\n self.title = f"bacteriaGrowth({n0}, {alpha}, {K}, {N}) = {g} ?"\n self.assertEqualC(g)\n\n def test_growth1(self):\n """ Hints:\n * Make sure to frobulate the frobulator.\n """\n self.stest(100, 0.4, 1000, 500)\n\n def test_growth2(self):\n self.stest(10, 0.4, 1000, 500)\n\n def test_growth3(self):\n self.stest(100, 1.4, 1000, 500)\n\n def test_growth4(self):\n self.stest(100, 0.0004, 1000, 500)\n\n def test_growth5(self):\n """\n hints:\n * What happens when n0 > N? (in this case return t=0) """\n self.stest(100, 0.4, 1000, 99)\n\nclass ClusterAnalysis(UTestCase):\n """ Test the cluster analysis method """\n\n def stest(self, n, seed):\n np.random.seed(seed)\n x = np.round(np.random.rand(n), 1)\n I = clusterAnalysis(x)\n self.title = f"clusterAnalysis({list(x)}) = {list(I)} ?"\n self.assertEqualC(list(I))\n\n def test_cluster1(self):\n """ Hints:\n * Make sure to frobulate the frobulator.\n * Just try harder\n """\n self.stest(3, 10)\n\n def test_cluster2(self):\n self.stest(4, 146)\n\n def test_cluster3(self):\n self.stest(5, 12)\n\n def test_cluster4(self):\n """\n Cluster analysis for tied lists\n Hints:\n * It may be that an observations has the same distance to the two clusters. Where do you assign it in this case?\n """\n x = np.array([10.0, 12.0, 10.0, 12.0, 9.0, 11.0, 11.0, 13.0])\n self.assertEqualC(list(clusterAnalysis(x) ) )\n\n\nclass RemoveIncomplete(UTestCase):\n """ Remove incomplete IDs """\n\n def stest(self, x):\n I = list( removeIncomplete(x) )\n self.title = f"removeId({trlist(x)}) = {trlist(I)} ?"\n self.assertEqualC(I)\n\n @cache\n def rseq(self, max, n):\n np.random.seed(42)\n return np.random.randint(max, size=(n,) ) + (np.random.randint(2, size=(n,) )+1)/10\n\n def test_incomplete1(self):\n self.stest( np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1]) )\n\n def test_incomplete2(self):\n self.stest( np.array([1.1, 1.2, 1.3, 2.1, 2.2, 2.3]) )\n\n def test_incomplete3(self):\n self.stest(np.array([5.1, 5.2, 4.1, 4.3, 4.2, 8.1, 8.2, 8.3]) )\n\n def test_incomplete4(self):\n self.stest(np.array([1.1, 1.3, 2.1, 2.2, 3.1, 3.3, 4.1, 4.2, 4.3]) )\n\n def test_incomplete5(self):\n self.stest(self.rseq(10, 40))\n\n\nclass FermentationRate(UTestCase):\n """ Test the fermentation rate question """\n\n def stest(self, x, lower, upper):\n I = fermentationRate(x, lower, upper)\n s = trlist(x)\n self.title = f"fermentationRate({s}, {lower}, {upper}) = {I:.3f} ?"\n self.assertEqualC(I)\n\n @cache\n def rseq(self, max, n):\n np.random.seed(42)\n return np.random.randint(max, size=(n,) ) + (np.random.randint(3, size=(n,) )+1)/n\n\n def test_rate1(self):\n self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25)\n\n def test_rate2(self):\n self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 1, 200)\n\n def test_rate3(self):\n self.stest(np.array([1.75]), 1, 2)\n\n def test_rate4(self):\n self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 18.2, 20)\n\n\nclass Report1Flat(Report):\n title = "Week 4: Looping"\n questions = [(ClusterAnalysis, 10), (RemoveIncomplete, 10), (Bacteria, 10), (FermentationRate, 10),]\n pack_imports = [looping]'
+report1_payload = '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+name="Report1Flat"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
\ No newline at end of file
diff --git a/examples/02631/instructor/programs/unitgrade/Bacteria.pkl b/examples/02631/instructor/programs/unitgrade/Bacteria.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..b246df45c63387d95bc69cc26deba7770d8249c5
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diff --git a/examples/02631/instructor/programs/unitgrade/ClusterAnalysis.pkl b/examples/02631/instructor/programs/unitgrade/ClusterAnalysis.pkl
new file mode 100644
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new file mode 100644
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GIT binary patch
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diff --git a/examples/02631/instructor/programs/unitgrade/RemoveIncomplete.pkl b/examples/02631/instructor/programs/unitgrade/RemoveIncomplete.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..30edf2db7bc0e41f0ada9c1c7443ac1d487a6d9a
GIT binary patch
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diff --git a/examples/02631/students/programs/.coverage b/examples/02631/students/programs/.coverage
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diff --git a/examples/02631/students/programs/looping.py b/examples/02631/students/programs/looping.py
new file mode 100644
index 0000000..34517b1
--- /dev/null
+++ b/examples/02631/students/programs/looping.py
@@ -0,0 +1,62 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+import numpy as np
+import itertools
+
+def bacteriaGrowth(n0, alpha, K, N):
+ """
+ Calculate time until bacteria growth exceed N starting from a population of n0 bacteria.
+ hints:
+ * consider n0
+ * alpha > 0
+ :param n0:
+ :param alpha:
+ :param K:
+ :param N:
+ :return:
+ """
+ # TODO: 7 lines missing.
+ raise NotImplementedError("Implement function body")
+
+def clusterAnalysis(reflectance):
+ reflectance = np.asarray(reflectance)
+ I1 = np.arange(len(reflectance)) % 2 == 1
+ while True:
+ m = np.asarray( [np.mean( reflectance[~I1] ), np.mean( reflectance[I1] ) ] )
+ I1_ = np.argmin( np.abs( reflectance[:, np.newaxis] - m[np.newaxis, :] ), axis=1) == 1
+ if all(I1_ == I1):
+ break
+ I1 = I1_
+ return I1 + 1
+
+def fermentationRate(measuredRate, lowerBound, upperBound):
+ # Insert your code here
+ return np.mean( [r for r in measuredRate if lowerBound < r < upperBound] )
+
+
+
+
+def removeIncomplete(id):
+ """ Hints:
+ * Take a look at the example in the exercise.
+ """
+ id = np.asarray(id)
+ id2 = []
+ for i, v in enumerate(id):
+ if len( [x for x in id if int(x) == int(v) ] ) == 3:
+ id2.append(v)
+ return np.asarray(id2)
+
+
+if __name__ == "__main__":
+ # I = clusterAnalysis([1.7, 1.6, 1.3, 1.3, 2.8, 1.4, 2.8, 2.6, 1.6, 2.7])
+ # print(I)
+
+ print(fermentationRate(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25))
+
+
+ # print(removeIncomplete(np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1])))
+
+ # Problem 1: Write a function which add two numbers
+ # clusterAnalysis([2, 1, 2, 4, 5])
diff --git a/examples/02631/students/programs/report1intro.py b/examples/02631/students/programs/report1intro.py
new file mode 100644
index 0000000..587129b
--- /dev/null
+++ b/examples/02631/students/programs/report1intro.py
@@ -0,0 +1,142 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+from src.unitgrade2.unitgrade2 import Report, UTestCase, cache
+from src.unitgrade2 import evaluate_report_student
+import numpy as np
+import looping
+from looping import bacteriaGrowth, clusterAnalysis, removeIncomplete, fermentationRate
+
+def trlist(x):
+ s = str(list(x))
+ if len(s) > 30:
+ s = s[:30] + "...]"
+ return s
+
+class Bacteria(UTestCase):
+ """ Bacteria growth rates """
+
+ def stest(self, n0, alpha, K, N):
+ g = bacteriaGrowth(n0=n0, alpha=alpha, K=K, N=N)
+ self.title = f"bacteriaGrowth({n0}, {alpha}, {K}, {N}) = {g} ?"
+ self.assertEqualC(g)
+
+ def test_growth1(self):
+ """ Hints:
+ * Make sure to frobulate the frobulator.
+ """
+ self.stest(100, 0.4, 1000, 500)
+
+ def test_growth2(self):
+ self.stest(10, 0.4, 1000, 500)
+
+ def test_growth3(self):
+ self.stest(100, 1.4, 1000, 500)
+
+ def test_growth4(self):
+ self.stest(100, 0.0004, 1000, 500)
+
+ def test_growth5(self):
+ """
+ hints:
+ * What happens when n0 > N? (in this case return t=0) """
+ self.stest(100, 0.4, 1000, 99)
+
+class ClusterAnalysis(UTestCase):
+ """ Test the cluster analysis method """
+
+ def stest(self, n, seed):
+ np.random.seed(seed)
+ x = np.round(np.random.rand(n), 1)
+ I = clusterAnalysis(x)
+ self.title = f"clusterAnalysis({list(x)}) = {list(I)} ?"
+ self.assertEqualC(list(I))
+
+ def test_cluster1(self):
+ """ Hints:
+ * Make sure to frobulate the frobulator.
+ * Just try harder
+ """
+ self.stest(3, 10)
+
+ def test_cluster2(self):
+ self.stest(4, 146)
+
+ def test_cluster3(self):
+ self.stest(5, 12)
+
+ def test_cluster4(self):
+ """
+ Cluster analysis for tied lists
+ Hints:
+ * It may be that an observations has the same distance to the two clusters. Where do you assign it in this case?
+ """
+ x = np.array([10.0, 12.0, 10.0, 12.0, 9.0, 11.0, 11.0, 13.0])
+ self.assertEqualC(list(clusterAnalysis(x) ) )
+
+
+class RemoveIncomplete(UTestCase):
+ """ Remove incomplete IDs """
+
+ def stest(self, x):
+ I = list( removeIncomplete(x) )
+ self.title = f"removeId({trlist(x)}) = {trlist(I)} ?"
+ self.assertEqualC(I)
+
+ @cache
+ def rseq(self, max, n):
+ np.random.seed(42)
+ return np.random.randint(max, size=(n,) ) + (np.random.randint(2, size=(n,) )+1)/10
+
+ def test_incomplete1(self):
+ self.stest( np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1]) )
+
+ def test_incomplete2(self):
+ self.stest( np.array([1.1, 1.2, 1.3, 2.1, 2.2, 2.3]) )
+
+ def test_incomplete3(self):
+ self.stest(np.array([5.1, 5.2, 4.1, 4.3, 4.2, 8.1, 8.2, 8.3]) )
+
+ def test_incomplete4(self):
+ self.stest(np.array([1.1, 1.3, 2.1, 2.2, 3.1, 3.3, 4.1, 4.2, 4.3]) )
+
+ def test_incomplete5(self):
+ self.stest(self.rseq(10, 40))
+
+
+class FermentationRate(UTestCase):
+ """ Test the fermentation rate question """
+
+ def stest(self, x, lower, upper):
+ I = fermentationRate(x, lower, upper)
+ s = trlist(x)
+ self.title = f"fermentationRate({s}, {lower}, {upper}) = {I:.3f} ?"
+ self.assertEqualC(I)
+
+ @cache
+ def rseq(self, max, n):
+ np.random.seed(42)
+ return np.random.randint(max, size=(n,) ) + (np.random.randint(3, size=(n,) )+1)/n
+
+ def test_rate1(self):
+ self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25)
+
+ def test_rate2(self):
+ self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 1, 200)
+
+ def test_rate3(self):
+ self.stest(np.array([1.75]), 1, 2)
+
+ def test_rate4(self):
+ self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 18.2, 20)
+
+
+class Report1Flat(Report):
+ title = "Week 4: Looping"
+ questions = [(ClusterAnalysis, 10), (RemoveIncomplete, 10), (Bacteria, 10), (FermentationRate, 10),]
+ pack_imports = [looping]
+
+if __name__ == "__main__":
+ # Uncomment to simply run everything as a unittest:
+ # unittest.main(verbosity=2)
+ evaluate_report_student(Report1Flat())
diff --git a/examples/02631/students/programs/report1intro_grade.py b/examples/02631/students/programs/report1intro_grade.py
new file mode 100644
index 0000000..e7ffde8
--- /dev/null
+++ b/examples/02631/students/programs/report1intro_grade.py
@@ -0,0 +1,339 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ # nL =
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f"Question {n+1} total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.join(output_dir, token)
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n # nL =\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"Question {n+1} total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nimport numpy as np\nimport looping\nfrom looping import bacteriaGrowth, clusterAnalysis, removeIncomplete, fermentationRate\n\ndef trlist(x):\n s = str(list(x))\n if len(s) > 30:\n s = s[:30] + "...]"\n return s\n\nclass Bacteria(UTestCase):\n """ Bacteria growth rates """\n\n def stest(self, n0, alpha, K, N):\n g = bacteriaGrowth(n0=n0, alpha=alpha, K=K, N=N)\n self.title = f"bacteriaGrowth({n0}, {alpha}, {K}, {N}) = {g} ?"\n self.assertEqualC(g)\n\n def test_growth1(self):\n """ Hints:\n * Make sure to frobulate the frobulator.\n """\n self.stest(100, 0.4, 1000, 500)\n\n def test_growth2(self):\n self.stest(10, 0.4, 1000, 500)\n\n def test_growth3(self):\n self.stest(100, 1.4, 1000, 500)\n\n def test_growth4(self):\n self.stest(100, 0.0004, 1000, 500)\n\n def test_growth5(self):\n """\n hints:\n * What happens when n0 > N? (in this case return t=0) """\n self.stest(100, 0.4, 1000, 99)\n\nclass ClusterAnalysis(UTestCase):\n """ Test the cluster analysis method """\n\n def stest(self, n, seed):\n np.random.seed(seed)\n x = np.round(np.random.rand(n), 1)\n I = clusterAnalysis(x)\n self.title = f"clusterAnalysis({list(x)}) = {list(I)} ?"\n self.assertEqualC(list(I))\n\n def test_cluster1(self):\n """ Hints:\n * Make sure to frobulate the frobulator.\n * Just try harder\n """\n self.stest(3, 10)\n\n def test_cluster2(self):\n self.stest(4, 146)\n\n def test_cluster3(self):\n self.stest(5, 12)\n\n def test_cluster4(self):\n """\n Cluster analysis for tied lists\n Hints:\n * It may be that an observations has the same distance to the two clusters. Where do you assign it in this case?\n """\n x = np.array([10.0, 12.0, 10.0, 12.0, 9.0, 11.0, 11.0, 13.0])\n self.assertEqualC(list(clusterAnalysis(x) ) )\n\n\nclass RemoveIncomplete(UTestCase):\n """ Remove incomplete IDs """\n\n def stest(self, x):\n I = list( removeIncomplete(x) )\n self.title = f"removeId({trlist(x)}) = {trlist(I)} ?"\n self.assertEqualC(I)\n\n @cache\n def rseq(self, max, n):\n np.random.seed(42)\n return np.random.randint(max, size=(n,) ) + (np.random.randint(2, size=(n,) )+1)/10\n\n def test_incomplete1(self):\n self.stest( np.array([1.3, 2.2, 2.3, 4.2, 5.1, 3.2, 5.3, 3.3, 2.1, 1.1, 5.2, 3.1]) )\n\n def test_incomplete2(self):\n self.stest( np.array([1.1, 1.2, 1.3, 2.1, 2.2, 2.3]) )\n\n def test_incomplete3(self):\n self.stest(np.array([5.1, 5.2, 4.1, 4.3, 4.2, 8.1, 8.2, 8.3]) )\n\n def test_incomplete4(self):\n self.stest(np.array([1.1, 1.3, 2.1, 2.2, 3.1, 3.3, 4.1, 4.2, 4.3]) )\n\n def test_incomplete5(self):\n self.stest(self.rseq(10, 40))\n\n\nclass FermentationRate(UTestCase):\n """ Test the fermentation rate question """\n\n def stest(self, x, lower, upper):\n I = fermentationRate(x, lower, upper)\n s = trlist(x)\n self.title = f"fermentationRate({s}, {lower}, {upper}) = {I:.3f} ?"\n self.assertEqualC(I)\n\n @cache\n def rseq(self, max, n):\n np.random.seed(42)\n return np.random.randint(max, size=(n,) ) + (np.random.randint(3, size=(n,) )+1)/n\n\n def test_rate1(self):\n self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 15, 25)\n\n def test_rate2(self):\n self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 1, 200)\n\n def test_rate3(self):\n self.stest(np.array([1.75]), 1, 2)\n\n def test_rate4(self):\n self.stest(np.array([20.1, 19.3, 1.1, 18.2, 19.7, 121.1, 20.3, 20.0]), 18.2, 20)\n\n\nclass Report1Flat(Report):\n title = "Week 4: Looping"\n questions = [(ClusterAnalysis, 10), (RemoveIncomplete, 10), (Bacteria, 10), (FermentationRate, 10),]\n pack_imports = [looping]'
+report1_payload = 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+name="Report1Flat"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
diff --git a/examples/02631/students/programs/unitgrade/Bacteria.pkl b/examples/02631/students/programs/unitgrade/Bacteria.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..b246df45c63387d95bc69cc26deba7770d8249c5
GIT binary patch
literal 2050
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literal 0
HcmV?d00001
diff --git a/examples/02631/students/programs/unitgrade/ClusterAnalysis.pkl b/examples/02631/students/programs/unitgrade/ClusterAnalysis.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..36635371f6e86d5f841a3827696a5909e766532b
GIT binary patch
literal 763
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HcmV?d00001
diff --git a/examples/02631/students/programs/unitgrade/FermentationRate.pkl b/examples/02631/students/programs/unitgrade/FermentationRate.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..9f5cea13c96d67ff2704de398cd66b78a2db463b
GIT binary patch
literal 618
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literal 0
HcmV?d00001
diff --git a/examples/02631/students/programs/unitgrade/RemoveIncomplete.pkl b/examples/02631/students/programs/unitgrade/RemoveIncomplete.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..30edf2db7bc0e41f0ada9c1c7443ac1d487a6d9a
GIT binary patch
literal 1444
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HcmV?d00001
diff --git a/examples/autolab_example/autolab_example.py b/examples/autolab_example/autolab_example.py
index 6cdf58a..a4bdf62 100644
--- a/examples/autolab_example/autolab_example.py
+++ b/examples/autolab_example/autolab_example.py
@@ -1,9 +1,9 @@
import os
-from autolab.autolab import deploy_assignment
+from unitgrade_private2.autolab.autolab import deploy_assignment
if __name__ == "__main__":
wdir = os.getcwd()
- args = [('example_simplest', 'cs101', 'report1_grade.py', 'report1_grade.py'),
+ args = [('example_simplest', 'programs', 'report1_grade.py', 'report1_grade.py'),
('example_framework', 'cs102', 'report2_grade.py', 'report2_grade.py'),
('example_docker', 'cs103', 'report3_complete_grade.py', 'report3_grade.py'),
]
diff --git a/examples/autolab_example/tmp/cs101/cs101.yml b/examples/autolab_example/tmp/cs101/cs101.yml
index 7631a7f..6dc13d8 100644
--- a/examples/autolab_example/tmp/cs101/cs101.yml
+++ b/examples/autolab_example/tmp/cs101/cs101.yml
@@ -1,14 +1,14 @@
---
general:
- name: cs101
+ name: programs
description: ''
display_name: CS 101 Report 1
handin_filename: Report1_handin.token
handin_directory: handin
max_grace_days: 0
- handout: cs101-handout.tar
- writeup: writeup/cs101.html
+ handout: programs-handout.tar
+ writeup: writeup/programs.html
max_submissions: -1
disable_handins: false
max_size: 2
diff --git a/examples/autolab_example/tmp/cs101/src/driver_python.py b/examples/autolab_example/tmp/cs101/src/driver_python.py
index 9b3e081..074cc75 100644
--- a/examples/autolab_example/tmp/cs101/src/driver_python.py
+++ b/examples/autolab_example/tmp/cs101/src/driver_python.py
@@ -25,7 +25,7 @@ def pfiles():
student_token_file = 'Report1_handin.token'
instructor_grade_script = 'report1_grade.py'
-grade_file_relative_destination = "cs101\report1_grade.py"
+grade_file_relative_destination = "programs\report1_grade.py"
with open(student_token_file, 'rb') as f:
results = pickle.load(f)
sources = results['sources'][0]
@@ -55,8 +55,8 @@ def rcom(cm):
start = time.time()
rcom(command)
# pfiles()
-# for f in glob.glob(host_tmp_dir + "/cs101/*"):
-# print("cs101/", f)
+# for f in glob.glob(host_tmp_dir + "/programs/*"):
+# print("programs/", f)
# print("---")
ls = glob.glob(token)
# print(ls)
diff --git a/examples/autolab_example/tmp/cs101/src/report1_grade.py b/examples/autolab_example/tmp/cs101/src/report1_grade.py
index 8972ab5..fbbeabf 100644
--- a/examples/autolab_example/tmp/cs101/src/report1_grade.py
+++ b/examples/autolab_example/tmp/cs101/src/report1_grade.py
@@ -453,7 +453,7 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, unmute=False, **kwargs):\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n # for item in q.items:\n # if q.name not in payloads or item.name not in payloads[q.name]:\n # s = f"> Broken resource dictionary submitted to unitgrade for question {q.name} and subquestion {item.name}. Framework will not work."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n # else:\n # item._correct_answer_payload = payloads[q.name][item.name][\'payload\']\n # item.estimated_time = payloads[q.name][item.name].get("time", 1)\n # q.estimated_time = payloads[q.name].get("time", 1)\n # if "precomputed" in payloads[q.name][item.name]: # Consider removing later.\n # item._precomputed_payload = payloads[q.name][item.name][\'precomputed\']\n # try:\n # if "title" in payloads[q.name][item.name]: # can perhaps be removed later.\n # item.title = payloads[q.name][item.name][\'title\']\n # except Exception as e: # Cannot set attribute error. The title is a function (and probably should not be).\n # pass\n # # print("bad", e)\n # self.payloads = payloads\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\nclass MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n item_title = item_title.split("\\n")[0]\n\n item_title = test.shortDescription() # Better for printing (get from cache).\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 2\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n @classmethod\n def question_title(cls):\n return cls.__doc__.splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n # def _callSetUp(self):\n # # Always run before method is called.\n # print("asdf")\n # pass\n # @classmethod\n # def setUpClass(cls):\n # # self._cache_put((self.cache_id(), \'title\'), value)\n # cls.reset()\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n # def unique_cache_id(self):\n # k0 = self.cache_id()\n # # key = ()\n # i = 0\n # for i in itertools.count():\n # # key = k0 + (i,)\n # if i not in self._cache_get( (k0, \'assert\') ):\n # break\n # return i\n # return key\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n #\n # def _cache2_contains(self, key):\n # print("Is this needed?")\n # self._ensure_cache_exists()\n # return key in self.__class__._cache2\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n # try: # For registering stats.\n # import unitgrade_private\n # import irlc.lectures\n # import xlwings\n # from openpyxl import Workbook\n # import pandas as pd\n # from collections import defaultdict\n # dd = defaultdict(lambda: [])\n # error_computed = []\n # for k1, (q, _) in enumerate(report.questions):\n # for k2, item in enumerate(q.items):\n # dd[\'question_index\'].append(k1)\n # dd[\'item_index\'].append(k2)\n # dd[\'question\'].append(q.name)\n # dd[\'item\'].append(item.name)\n # dd[\'tol\'].append(0 if not hasattr(item, \'tol\') else item.tol)\n # error_computed.append(0 if not hasattr(item, \'error_computed\') else item.error_computed)\n #\n # qstats = report.wdir + "/" + report.name + ".xlsx"\n #\n # if os.path.isfile(qstats):\n # d_read = pd.read_excel(qstats).to_dict()\n # else:\n # d_read = dict()\n #\n # for k in range(1000):\n # key = \'run_\'+str(k)\n # if key in d_read:\n # dd[key] = list(d_read[\'run_0\'].values())\n # else:\n # dd[key] = error_computed\n # break\n #\n # workbook = Workbook()\n # worksheet = workbook.active\n # for col, key in enumerate(dd.keys()):\n # worksheet.cell(row=1, column=col+1).value = key\n # for row, item in enumerate(dd[key]):\n # worksheet.cell(row=row+2, column=col+1).value = item\n #\n # workbook.save(qstats)\n # workbook.close()\n #\n # except ModuleNotFoundError as e:\n # s = 234\n # pass\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)\n z = 234\n # for j, item in enumerate(q.items):\n # if qitem is not None and question is not None and j+1 != qitem:\n # continue\n #\n # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.\n # # if not item.question.has_called_init_:\n # start = time.time()\n #\n # cc = None\n # if show_progress_bar:\n # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )\n # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)\n # from unitgrade import Capturing # DON\'T REMOVE THIS LINE\n # with eval(\'Capturing\')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.\n # try:\n # for q2 in q_with_outstanding_init:\n # q2.init()\n # q2.has_called_init_ = True\n #\n # # item.question.init() # Initialize the question. Useful for sharing resources.\n # except Exception as e:\n # if not passall:\n # if not silent:\n # print(" ")\n # print("="*30)\n # print(f"When initializing question {q.title} the initialization code threw an error")\n # print(e)\n # print("The remaining parts of this question will likely fail.")\n # print("="*30)\n #\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(q_title_print, end="")\n #\n # q_time =np.round( time.time()-start, 2)\n #\n # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")\n # print("=" * nL)\n # q_with_outstanding_init = None\n #\n # # item.question = q # Set the parent question instance for later reference.\n # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)\n #\n # if show_progress_bar:\n # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)\n # else:\n # print(item_title_print + ( \'.\'*max(0, nL-4-len(ss)) ), end="")\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(item_title_print + (\'.\' * max(0, nL - 4 - len(ss))), end="")\n #\n # if not hidden:\n # ss = "PASS" if current == possible else "*** FAILED"\n # if tsecs >= 0.1:\n # ss += " ("+ str(tsecs) + " seconds)"\n # print(ss)\n\n # ws, possible, obtained = upack(q_)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom cs101.homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n # print("Bad output\\n\\n")\n\n\nimport cs101\nclass Report1(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [cs101]'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, unmute=False, **kwargs):\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n # for item in q.items:\n # if q.name not in payloads or item.name not in payloads[q.name]:\n # s = f"> Broken resource dictionary submitted to unitgrade for question {q.name} and subquestion {item.name}. Framework will not work."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n # else:\n # item._correct_answer_payload = payloads[q.name][item.name][\'payload\']\n # item.estimated_time = payloads[q.name][item.name].get("time", 1)\n # q.estimated_time = payloads[q.name].get("time", 1)\n # if "precomputed" in payloads[q.name][item.name]: # Consider removing later.\n # item._precomputed_payload = payloads[q.name][item.name][\'precomputed\']\n # try:\n # if "title" in payloads[q.name][item.name]: # can perhaps be removed later.\n # item.title = payloads[q.name][item.name][\'title\']\n # except Exception as e: # Cannot set attribute error. The title is a function (and probably should not be).\n # pass\n # # print("bad", e)\n # self.payloads = payloads\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\nclass MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n item_title = item_title.split("\\n")[0]\n\n item_title = test.shortDescription() # Better for printing (get from cache).\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 2\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n @classmethod\n def question_title(cls):\n return cls.__doc__.splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n # def _callSetUp(self):\n # # Always run before method is called.\n # print("asdf")\n # pass\n # @classmethod\n # def setUpClass(cls):\n # # self._cache_put((self.cache_id(), \'title\'), value)\n # cls.reset()\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n # def unique_cache_id(self):\n # k0 = self.cache_id()\n # # key = ()\n # i = 0\n # for i in itertools.count():\n # # key = k0 + (i,)\n # if i not in self._cache_get( (k0, \'assert\') ):\n # break\n # return i\n # return key\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n #\n # def _cache2_contains(self, key):\n # print("Is this needed?")\n # self._ensure_cache_exists()\n # return key in self.__class__._cache2\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n # try: # For registering stats.\n # import unitgrade_private\n # import irlc.lectures\n # import xlwings\n # from openpyxl import Workbook\n # import pandas as pd\n # from collections import defaultdict\n # dd = defaultdict(lambda: [])\n # error_computed = []\n # for k1, (q, _) in enumerate(report.questions):\n # for k2, item in enumerate(q.items):\n # dd[\'question_index\'].append(k1)\n # dd[\'item_index\'].append(k2)\n # dd[\'question\'].append(q.name)\n # dd[\'item\'].append(item.name)\n # dd[\'tol\'].append(0 if not hasattr(item, \'tol\') else item.tol)\n # error_computed.append(0 if not hasattr(item, \'error_computed\') else item.error_computed)\n #\n # qstats = report.wdir + "/" + report.name + ".xlsx"\n #\n # if os.path.isfile(qstats):\n # d_read = pd.read_excel(qstats).to_dict()\n # else:\n # d_read = dict()\n #\n # for k in range(1000):\n # key = \'run_\'+str(k)\n # if key in d_read:\n # dd[key] = list(d_read[\'run_0\'].values())\n # else:\n # dd[key] = error_computed\n # break\n #\n # workbook = Workbook()\n # worksheet = workbook.active\n # for col, key in enumerate(dd.keys()):\n # worksheet.cell(row=1, column=col+1).value = key\n # for row, item in enumerate(dd[key]):\n # worksheet.cell(row=row+2, column=col+1).value = item\n #\n # workbook.save(qstats)\n # workbook.close()\n #\n # except ModuleNotFoundError as e:\n # s = 234\n # pass\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)\n z = 234\n # for j, item in enumerate(q.items):\n # if qitem is not None and question is not None and j+1 != qitem:\n # continue\n #\n # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.\n # # if not item.question.has_called_init_:\n # start = time.time()\n #\n # cc = None\n # if show_progress_bar:\n # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )\n # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)\n # from unitgrade import Capturing # DON\'T REMOVE THIS LINE\n # with eval(\'Capturing\')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.\n # try:\n # for q2 in q_with_outstanding_init:\n # q2.init()\n # q2.has_called_init_ = True\n #\n # # item.question.init() # Initialize the question. Useful for sharing resources.\n # except Exception as e:\n # if not passall:\n # if not silent:\n # print(" ")\n # print("="*30)\n # print(f"When initializing question {q.title} the initialization code threw an error")\n # print(e)\n # print("The remaining parts of this question will likely fail.")\n # print("="*30)\n #\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(q_title_print, end="")\n #\n # q_time =np.round( time.time()-start, 2)\n #\n # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")\n # print("=" * nL)\n # q_with_outstanding_init = None\n #\n # # item.question = q # Set the parent question instance for later reference.\n # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)\n #\n # if show_progress_bar:\n # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)\n # else:\n # print(item_title_print + ( \'.\'*max(0, nL-4-len(ss)) ), end="")\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(item_title_print + (\'.\' * max(0, nL - 4 - len(ss))), end="")\n #\n # if not hidden:\n # ss = "PASS" if current == possible else "*** FAILED"\n # if tsecs >= 0.1:\n # ss += " ("+ str(tsecs) + " seconds)"\n # print(ss)\n\n # ws, possible, obtained = upack(q_)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom programs.homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n # print("Bad output\\n\\n")\n\n\nimport programs\nclass Report1(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [programs]'
report1_payload = '8004953f000000000000007d948c055765656b31947d948c2c6e6f20636163686520736565205f73657475705f616e737765727320696e20756e69746772616465322e7079948873732e'
name="Report1"
diff --git a/examples/autolab_example/tmp/cs102/src/driver_python.py b/examples/autolab_example/tmp/cs102/src/driver_python.py
index 092842a..80da44e 100644
--- a/examples/autolab_example/tmp/cs102/src/driver_python.py
+++ b/examples/autolab_example/tmp/cs102/src/driver_python.py
@@ -55,8 +55,8 @@ def rcom(cm):
start = time.time()
rcom(command)
# pfiles()
-# for f in glob.glob(host_tmp_dir + "/cs101/*"):
-# print("cs101/", f)
+# for f in glob.glob(host_tmp_dir + "/programs/*"):
+# print("programs/", f)
# print("---")
ls = glob.glob(token)
# print(ls)
diff --git a/examples/autolab_example/tmp/cs103/src/driver_python.py b/examples/autolab_example/tmp/cs103/src/driver_python.py
index ed9bd8b..34e6b0b 100644
--- a/examples/autolab_example/tmp/cs103/src/driver_python.py
+++ b/examples/autolab_example/tmp/cs103/src/driver_python.py
@@ -55,8 +55,8 @@ def rcom(cm):
start = time.time()
rcom(command)
# pfiles()
-# for f in glob.glob(host_tmp_dir + "/cs101/*"):
-# print("cs101/", f)
+# for f in glob.glob(host_tmp_dir + "/programs/*"):
+# print("programs/", f)
# print("---")
ls = glob.glob(token)
# print(ls)
diff --git a/examples/example_docker/instructor/cs103/.coverage b/examples/example_docker/instructor/cs103/.coverage
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diff --git a/examples/example_docker/instructor/cs103/Report3_handin_25_of_30.token b/examples/example_docker/instructor/cs103/Report3_handin_25_of_30.token
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diff --git a/examples/example_docker/instructor/cs103/Report3_handin_30_of_30.token b/examples/example_docker/instructor/cs103/Report3_handin_30_of_30.token
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HcmV?d00001
diff --git a/examples/example_docker/instructor/cs103/__pycache__/homework1.cpython-38.pyc b/examples/example_docker/instructor/cs103/__pycache__/homework1.cpython-38.pyc
index 4beaff64aef655b294b4513aa4842f7eada9c024..c2ad43883cce209ac9cd30ec4db9f197297be5f1 100644
GIT binary patch
delta 20
bcmX@ec94xbl$V!_fq{WRdWykDZZl>8EsX=`
delta 20
bcmX@ec94xbl$V!_fq{YH<6)hR+-A%GG;IXv
diff --git a/examples/example_docker/instructor/cs103/__pycache__/report3.cpython-38.pyc b/examples/example_docker/instructor/cs103/__pycache__/report3.cpython-38.pyc
index da19a02cc1c508d3eaafcf35b0b34e9d58501d7e..78157d3ccd77777a3e6bdc5d8ef57fa286b7b497 100644
GIT binary patch
delta 25
gcmaFC^@58pl$V!_fq{WRf388I7xPBGNLEH>08T#zHvj+t
delta 25
gcmaFC^@58pl$V!_fq{WR>7P#Gai)!Yk*ti209Azs0RR91
diff --git a/examples/example_docker/instructor/cs103/__pycache__/report3_complete.cpython-38.pyc b/examples/example_docker/instructor/cs103/__pycache__/report3_complete.cpython-38.pyc
index 921af5c7208e7aa4d953fa1e4551029aeb05c182..ca3fa7b43ad2a579965093501504022367ac79d6 100644
GIT binary patch
delta 53
zcmcb@dy<zol$V!_fq{X+Zm~h)+Ks#hY^;*SMag=T?buZL_&}`Eyv&mHqQsQc$qj75
GjLZOZLk^|@
delta 64
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diff --git a/examples/example_docker/instructor/cs103/deploy.py b/examples/example_docker/instructor/cs103/deploy.py
index 9379f59..e1350f9 100644
--- a/examples/example_docker/instructor/cs103/deploy.py
+++ b/examples/example_docker/instructor/cs103/deploy.py
@@ -4,25 +4,24 @@ from unitgrade_private2.hidden_create_files import setup_grade_file_report
from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
from unitgrade_private2.deployment import remove_hidden_methods
from unitgrade_private2.docker_helpers import docker_run_token_file
-import shutil
import os
import glob
import pickle
from snipper.snip_dir import snip_dir
+wd = os.path.dirname(__file__)
def deploy_student_files():
setup_grade_file_report(Report3, minify=False, obfuscate=False, execute=False)
- # Report3.reset()
fout, ReportWithoutHidden = remove_hidden_methods(Report3, outfile="report3.py")
setup_grade_file_report(ReportWithoutHidden, minify=False, obfuscate=False, execute=False)
- sdir = "../../students/cs103"
- snip_dir(source_dir="../cs103", dest_dir=sdir, clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py', 'report3_complete*.py'])
+ sdir = wd+"/../../students/cs103"
+ snip_dir(source_dir=wd+"/../cs103", dest_dir=sdir, clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py', 'report3_complete*.py'])
return sdir
def run_student_code_on_docker(Dockerfile, student_token_file):
token = docker_run_token_file(Dockerfile_location=Dockerfile,
- host_tmp_dir=os.path.dirname(Dockerfile) + "/tmp",
+ host_tmp_dir=os.path.dirname(Dockerfile) + "/home",
student_token_file=student_token_file,
instructor_grade_script="report3_complete_grade.py")
with open(token, 'rb') as f:
@@ -32,17 +31,14 @@ def run_student_code_on_docker(Dockerfile, student_token_file):
if __name__ == "__main__":
# Step 1: Deploy the students files and return the directory they were written to
student_directory = deploy_student_files()
- # import sys
- # sys.exit()
- # student_directory = "../../students/cs103"
+
# Step 2: Simulate that the student run their report script and generate a .token file.
os.system("cd ../../students && python -m cs103.report3_grade")
student_token_file = glob.glob(student_directory + "/*.token")[0]
-
# Step 3: Compile the Docker image (obviously you will only do this once; add your packages to requirements.txt).
- Dockerfile = os.path.dirname(__file__) + "/../unitgrade-docker/Dockerfile"
- os.system("cd ../unitgrade-docker && docker build --tag unitgrade-docker .")
+ Dockerfile = os.path.dirname(__file__) + "/../../../../docker_images/unitgrade-docker/Dockerfile"
+ os.system(f"cd {os.path.dirname(Dockerfile)} && docker build --tag unitgrade-docker .")
# Step 4: Test the students .token file and get the results-token-file. Compare the contents with the students_token_file:
checked_token = run_student_code_on_docker(Dockerfile, student_token_file)
diff --git a/examples/example_docker/instructor/cs103/report3.py b/examples/example_docker/instructor/cs103/report3.py
index 6dfbe04..3bdc6e6 100644
--- a/examples/example_docker/instructor/cs103/report3.py
+++ b/examples/example_docker/instructor/cs103/report3.py
@@ -1,5 +1,5 @@
-from unitgrade2.unitgrade2 import UTestCase, Report, hide
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import UTestCase, Report
+from src.unitgrade2 import evaluate_report_student
class Week1(UTestCase):
""" The first question for week 1. """
@@ -21,4 +21,6 @@ class Report3(Report):
pack_imports = [cs103]
if __name__ == "__main__":
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet(Report3())
evaluate_report_student(Report3())
\ No newline at end of file
diff --git a/examples/example_docker/instructor/cs103/report3_complete.py b/examples/example_docker/instructor/cs103/report3_complete.py
index 4e72f82..dd85bd8 100644
--- a/examples/example_docker/instructor/cs103/report3_complete.py
+++ b/examples/example_docker/instructor/cs103/report3_complete.py
@@ -1,5 +1,5 @@
from unitgrade2.unitgrade2 import UTestCase, Report, hide
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+from unitgrade2 import evaluate_report_student
class Week1(UTestCase):
""" The first question for week 1. """
@@ -30,4 +30,6 @@ class Report3(Report):
pack_imports = [cs103]
if __name__ == "__main__":
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet(Report3())
evaluate_report_student(Report3())
diff --git a/examples/example_docker/instructor/cs103/report3_complete_grade.py b/examples/example_docker/instructor/cs103/report3_complete_grade.py
index b053e48..8ea5f2e 100644
--- a/examples/example_docker/instructor/cs103/report3_complete_grade.py
+++ b/examples/example_docker/instructor/cs103/report3_complete_grade.py
@@ -4,15 +4,10 @@ from tabulate import tabulate
from datetime import datetime
import pyfiglet
import unittest
-# from unitgrade2.unitgrade2 import MySuite
-
import inspect
import os
import argparse
-import sys
import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
To run all tests in a report:
@@ -113,24 +108,20 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
else:
b = "Unitgrade"
- print(b + " v" + __version__)
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
s = report.title
if hasattr(report, "version") and report.version is not None:
s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ print(s, "(use --help for options)" if show_help_flag else "")
# print(f"Loaded answers from: ", report.computed_answers_file, "\n")
table_data = []
- nL = 80
t_start = time.time()
score = {}
loader = SequentialTestLoader()
for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
if question is not None and n+1 != question:
continue
suite = loader.loadTestsFromTestCase(q)
@@ -140,11 +131,10 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
q.possible = 0
q.obtained = 0
q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
UTextResult.q_title_print = q_title_print # Hacky
UTextResult.show_progress_bar = show_progress_bar # Hacky.
UTextResult.number = n
+ UTextResult.nL = report.nL
res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
@@ -153,20 +143,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
q.obtained = obtained
q.possible = possible
- s1 = f"*** Question q{n+1}"
+ s1 = f" * q{n+1}) Total"
s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
ws, possible, obtained = upack(score)
possible = int( msum(possible) )
@@ -181,15 +167,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
seconds = dt - minutes*60
plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
results = {'total': (obtained, possible), 'details': score}
return results, table_data
-
-
from tabulate import tabulate
from datetime import datetime
import inspect
@@ -212,7 +199,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -233,7 +221,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -277,14 +265,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -297,12 +285,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -315,15 +306,17 @@ def gather_upload_to_campusnet(report, output_dir=None):
vstring = "_v"+report.version if report.version is not None else ""
token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
- token = os.path.join(output_dir, token)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
with open(token, 'wb') as f:
pickle.dump(results, f)
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
@@ -336,8 +329,8 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\n# class MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n# raise Exception("no suite")\n# pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n # item_title = item_title.split("\\n")[0]\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n self._stdout = sys.stdout\n import io\n sys.stdout = io.StringIO()\n super().setUp()\n # print("Setting up...")\n\n def _callTearDown(self):\n sys.stdout = self._stdout\n super().tearDown()\n # print("asdfsfd")\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n# from unitgrade2.unitgrade2 import MySuite\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n @hide\n def test_add_hidden(self):\n # This is a hidden test. The @hide-decorator will allow unitgrade to remove the test.\n # See the output in the student directory for more information.\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n @hide\n def test_hidden_fail(self):\n self.assertEqual(2,3)\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
-report1_payload = '80049586000000000000007d94288c055765656b31947d94288c055765656b31948c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b04756803680486948c0474696d659486944700000000000000008c0474696d6594473f60628000000000758c0d4175746f6d6174696350617373947d94680c473f689d000000000073752e'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.normpath(os.path.join(output_dir, token))\n\n\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n @hide\n def test_add_hidden(self):\n # This is a hidden test. The @hide-decorator will allow unitgrade to remove the test.\n # See the output in the student directory for more information.\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n @hide\n def test_hidden_fail(self):\n self.assertEqual(2,3)\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
+report1_payload = '80049589000000000000007d94288c055765656b31947d942868018c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b047568018c0f746573745f6164645f68696464656e948694680586947d944b004b04738c0474696d6594473fe3b8a400000000758c0d4175746f6d6174696350617373947d94680c473fc45a520000000073752e'
name="Report3"
report = source_instantiate(name, report1_source, report1_payload)
diff --git a/examples/example_docker/instructor/cs103/report3_grade.py b/examples/example_docker/instructor/cs103/report3_grade.py
index 06bc99f..3b6b512 100644
--- a/examples/example_docker/instructor/cs103/report3_grade.py
+++ b/examples/example_docker/instructor/cs103/report3_grade.py
@@ -4,15 +4,10 @@ from tabulate import tabulate
from datetime import datetime
import pyfiglet
import unittest
-# from unitgrade2.unitgrade2 import MySuite
-
import inspect
import os
import argparse
-import sys
import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
To run all tests in a report:
@@ -113,24 +108,20 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
else:
b = "Unitgrade"
- print(b + " v" + __version__)
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
s = report.title
if hasattr(report, "version") and report.version is not None:
s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ print(s, "(use --help for options)" if show_help_flag else "")
# print(f"Loaded answers from: ", report.computed_answers_file, "\n")
table_data = []
- nL = 80
t_start = time.time()
score = {}
loader = SequentialTestLoader()
for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
if question is not None and n+1 != question:
continue
suite = loader.loadTestsFromTestCase(q)
@@ -140,11 +131,10 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
q.possible = 0
q.obtained = 0
q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
UTextResult.q_title_print = q_title_print # Hacky
UTextResult.show_progress_bar = show_progress_bar # Hacky.
UTextResult.number = n
+ UTextResult.nL = report.nL
res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
@@ -153,20 +143,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
q.obtained = obtained
q.possible = possible
- s1 = f"*** Question q{n+1}"
+ s1 = f" * q{n+1}) Total"
s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
ws, possible, obtained = upack(score)
possible = int( msum(possible) )
@@ -181,15 +167,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
seconds = dt - minutes*60
plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
results = {'total': (obtained, possible), 'details': score}
return results, table_data
-
-
from tabulate import tabulate
from datetime import datetime
import inspect
@@ -212,7 +199,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -233,7 +221,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -277,14 +265,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -297,12 +285,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -315,15 +306,17 @@ def gather_upload_to_campusnet(report, output_dir=None):
vstring = "_v"+report.version if report.version is not None else ""
token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
- token = os.path.join(output_dir, token)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
with open(token, 'wb') as f:
pickle.dump(results, f)
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
@@ -336,8 +329,8 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\n# class MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n# raise Exception("no suite")\n# pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n # item_title = item_title.split("\\n")[0]\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n self._stdout = sys.stdout\n import io\n sys.stdout = io.StringIO()\n super().setUp()\n # print("Setting up...")\n\n def _callTearDown(self):\n sys.stdout = self._stdout\n super().tearDown()\n # print("asdfsfd")\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n# from unitgrade2.unitgrade2 import MySuite\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
-report1_payload = '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'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.normpath(os.path.join(output_dir, token))\n\n\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
+report1_payload = '80049568000000000000007d94288c055765656b31947d942868018c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b04758c0474696d6594473fb71ac800000000758c0d4175746f6d6174696350617373947d946808473fb127100000000073752e'
name="Report3"
report = source_instantiate(name, report1_source, report1_payload)
diff --git a/examples/example_docker/instructor/cs103/unitgrade/AutomaticPass.pkl b/examples/example_docker/instructor/cs103/unitgrade/AutomaticPass.pkl
index 2a722e2b9c8264b76eca73fec2c7dd84eb0e02d3..9b6ff7ac689837f86e1b0e393993ec7acbb784e8 100644
GIT binary patch
literal 4
LcmZo*@zVnU0@?uq
literal 93
zcmZo*nHt0Z0ku;!dUzd6OY(CQOEQxK5{rwc^az)v7MH{qmz1WY=9R=3Bo-H^rc7y@
m(!&N~6_reBn^HR^gE51tZAuSINoH>9l(s4E5YreKO7#HeD<BB~
diff --git a/examples/example_docker/instructor/cs103/unitgrade/Week1.pkl b/examples/example_docker/instructor/cs103/unitgrade/Week1.pkl
index fe27b785553c86fe6975853b9990eed439d2d5bc..20eb565b4b7903e4aef2d3d44e08726a2b0e14ed 100644
GIT binary patch
delta 22
ZcmWHy<85G>YRmuuwNobY=`$7U0RS=m1aSZW
delta 47
ucmcBu=WAe@>cap5wNo@E^6E=vFlI2dP3d7N$;?fi(l*5%BFVr|ss{iFA`0yQ
diff --git a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/Report3_handin_5_of_30.token b/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/Report3_handin_5_of_30.token
deleted file mode 100644
index 675c59014e1063147604cc9ab25520eb3d1bbb5e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 128198
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diff --git a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_complete_grade.py b/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_complete_grade.py
deleted file mode 100644
index b053e48..0000000
--- a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_complete_grade.py
+++ /dev/null
@@ -1,345 +0,0 @@
-
-import numpy as np
-from tabulate import tabulate
-from datetime import datetime
-import pyfiglet
-import unittest
-# from unitgrade2.unitgrade2 import MySuite
-
-import inspect
-import os
-import argparse
-import sys
-import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
-
-parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
-To run all tests in a report:
-
-> python assignment1_dp.py
-
-To run only question 2 or question 2.1
-
-> python assignment1_dp.py -q 2
-> python assignment1_dp.py -q 2.1
-
-Note this scripts does not grade your report. To grade your report, use:
-
-> python report1_grade.py
-
-Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
-For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
-
-> python -m course_package.report1
-
-see https://docs.python.org/3.9/using/cmdline.html
-""", formatter_class=argparse.RawTextHelpFormatter)
-parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
-parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
-parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
-parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
-parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
-
-def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
- args = parser.parse_args()
- if question is None and args.q is not None:
- question = args.q
- if "." in question:
- question, qitem = [int(v) for v in question.split(".")]
- else:
- question = int(question)
-
- if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
- raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
-
- if unmute is None:
- unmute = args.unmute
- if passall is None:
- passall = args.passall
-
- results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
- show_tol_err=show_tol_err)
-
-
- if question is None:
- print("Provisional evaluation")
- tabulate(table_data)
- table = table_data
- print(tabulate(table))
- print(" ")
-
- fr = inspect.getouterframes(inspect.currentframe())[1].filename
- gfile = os.path.basename(fr)[:-3] + "_grade.py"
- if os.path.exists(gfile):
- print("Note your results have not yet been registered. \nTo register your results, please run the file:")
- print(">>>", gfile)
- print("In the same manner as you ran this file.")
-
-
- return results
-
-
-def upack(q):
- # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
- h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
- h = np.asarray(h)
- return h[:,0], h[:,1], h[:,2],
-
-class UnitgradeTextRunner(unittest.TextTestRunner):
- def __init__(self, *args, **kwargs):
- super().__init__(*args, **kwargs)
-
-class SequentialTestLoader(unittest.TestLoader):
- def getTestCaseNames(self, testCaseClass):
- test_names = super().getTestCaseNames(testCaseClass)
- # testcase_methods = list(testCaseClass.__dict__.keys())
- ls = []
- for C in testCaseClass.mro():
- if issubclass(C, unittest.TestCase):
- ls = list(C.__dict__.keys()) + ls
- testcase_methods = ls
- test_names.sort(key=testcase_methods.index)
- return test_names
-
-def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
- show_progress_bar=True,
- show_tol_err=False,
- big_header=True):
-
- now = datetime.now()
- if big_header:
- ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
- b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
- else:
- b = "Unitgrade"
- print(b + " v" + __version__)
- dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
- s = report.title
- if hasattr(report, "version") and report.version is not None:
- s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
- # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
- table_data = []
- nL = 80
- t_start = time.time()
- score = {}
- loader = SequentialTestLoader()
-
- for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
- if question is not None and n+1 != question:
- continue
- suite = loader.loadTestsFromTestCase(q)
- qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
- q_title_print = "Question %i: %s"%(n+1, qtitle)
- print(q_title_print, end="")
- q.possible = 0
- q.obtained = 0
- q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
- UTextResult.q_title_print = q_title_print # Hacky
- UTextResult.show_progress_bar = show_progress_bar # Hacky.
- UTextResult.number = n
-
- res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
-
- possible = res.testsRun
- obtained = len(res.successes)
-
- assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
-
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
- obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
- score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
- q.obtained = obtained
- q.possible = possible
-
- s1 = f"*** Question q{n+1}"
- s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
- print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
-
- ws, possible, obtained = upack(score)
- possible = int( msum(possible) )
- obtained = int( msum(obtained) ) # Cast to python int
- report.possible = possible
- report.obtained = obtained
- now = datetime.now()
- dt_string = now.strftime("%H:%M:%S")
-
- dt = int(time.time()-t_start)
- minutes = dt//60
- seconds = dt - minutes*60
- plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
-
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
-
- table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
- results = {'total': (obtained, possible), 'details': score}
- return results, table_data
-
-
-
-
-from tabulate import tabulate
-from datetime import datetime
-import inspect
-import json
-import os
-import bz2
-import pickle
-import os
-
-def bzwrite(json_str, token): # to get around obfuscation issues
- with getattr(bz2, 'open')(token, "wt") as f:
- f.write(json_str)
-
-def gather_imports(imp):
- resources = {}
- m = imp
- # for m in pack_imports:
- # print(f"*** {m.__name__}")
- f = m.__file__
- # dn = os.path.dirname(f)
- # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
- # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
- top_package = os.path.dirname(m.__file__)
- module_import = True
- else:
- top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
- module_import = False
-
- # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
- # top_package = os.path.dirname(top_package)
- import zipfile
- # import strea
- # zipfile.ZipFile
- import io
- # file_like_object = io.BytesIO(my_zip_data)
- zip_buffer = io.BytesIO()
- with zipfile.ZipFile(zip_buffer, 'w') as zip:
- # zip.write()
- for root, dirs, files in os.walk(top_package):
- for file in files:
- if file.endswith(".py"):
- fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
- zip.write(fpath, v)
-
- resources['zipfile'] = zip_buffer.getvalue()
- resources['top_package'] = top_package
- resources['module_import'] = module_import
- return resources, top_package
-
- if f.endswith("__init__.py"):
- for root, dirs, files in os.walk(os.path.dirname(f)):
- for file in files:
- if file.endswith(".py"):
- # print(file)
- # print()
- v = os.path.relpath(os.path.join(root, file), top_package)
- with open(os.path.join(root, file), 'r') as ff:
- resources[v] = ff.read()
- else:
- v = os.path.relpath(f, top_package)
- with open(f, 'r') as ff:
- resources[v] = ff.read()
- return resources
-
-import argparse
-parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
-
-> python report1_grade.py
-
-Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
-For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
-
-> python -m course_package.report1
-
-see https://docs.python.org/3.9/using/cmdline.html
-""", formatter_class=argparse.RawTextHelpFormatter)
-parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
-parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
-
-def gather_upload_to_campusnet(report, output_dir=None):
- n = report.nL
- args = parser.parse_args()
- results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
- show_progress_bar=not args.noprogress,
- big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
- # also load the source code of missing files...
-
- sources = {}
-
- if not args.autolab:
- if len(report.individual_imports) > 0:
- print("By uploading the .token file, you verify the files:")
- for m in report.individual_imports:
- print(">", m.__file__)
- print("Are created/modified individually by you in agreement with DTUs exam rules")
- report.pack_imports += report.individual_imports
-
- if len(report.pack_imports) > 0:
- print("Including files in upload...")
- for k, m in enumerate(report.pack_imports):
- nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
- nimp['report_relative_location'] = report_relative_location
- nimp['name'] = m.__name__
- sources[k] = nimp
- # if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
- # sources = {**sources, **nimp}
- results['sources'] = sources
-
- if output_dir is None:
- output_dir = os.getcwd()
-
- payload_out_base = report.__class__.__name__ + "_handin"
-
- obtain, possible = results['total']
- vstring = "_v"+report.version if report.version is not None else ""
-
- token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
- token = os.path.join(output_dir, token)
- with open(token, 'wb') as f:
- pickle.dump(results, f)
-
- if not args.autolab:
- print(" ")
- print("To get credit for your results, please upload the single file: ")
- print(">", token)
- print("To campusnet without any modifications.")
-
- # print("Now time for some autolab fun")
-
-def source_instantiate(name, report1_source, payload):
- eval("exec")(report1_source, globals())
- pl = pickle.loads(bytes.fromhex(payload))
- report = eval(name)(payload=pl, strict=True)
- # report.set_payload(pl)
- return report
-
-
-
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\n# class MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n# raise Exception("no suite")\n# pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n # item_title = item_title.split("\\n")[0]\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n self._stdout = sys.stdout\n import io\n sys.stdout = io.StringIO()\n super().setUp()\n # print("Setting up...")\n\n def _callTearDown(self):\n sys.stdout = self._stdout\n super().tearDown()\n # print("asdfsfd")\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n# from unitgrade2.unitgrade2 import MySuite\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n @hide\n def test_add_hidden(self):\n # This is a hidden test. The @hide-decorator will allow unitgrade to remove the test.\n # See the output in the student directory for more information.\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n @hide\n def test_hidden_fail(self):\n self.assertEqual(2,3)\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
-report1_payload = '80049586000000000000007d94288c055765656b31947d94288c055765656b31948c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b04756803680486948c0474696d659486944700000000000000008c0474696d6594473f60628000000000758c0d4175746f6d6174696350617373947d94680c473f689d000000000073752e'
-name="Report3"
-
-report = source_instantiate(name, report1_source, report1_payload)
-output_dir = os.path.dirname(__file__)
-gather_upload_to_campusnet(report, output_dir)
\ No newline at end of file
diff --git a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_grade.py b/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_grade.py
deleted file mode 100644
index ecff9f7..0000000
--- a/examples/example_docker/instructor/unitgrade-docker/tmp/cs103/report3_grade.py
+++ /dev/null
@@ -1,347 +0,0 @@
-"""
-Example student code. This file is automatically generated from the files in the instructor-directory
-"""
-import numpy as np
-from tabulate import tabulate
-from datetime import datetime
-import pyfiglet
-import unittest
-# from unitgrade2.unitgrade2 import MySuite
-
-import inspect
-import os
-import argparse
-import sys
-import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
-
-parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
-To run all tests in a report:
-
-> python assignment1_dp.py
-
-To run only question 2 or question 2.1
-
-> python assignment1_dp.py -q 2
-> python assignment1_dp.py -q 2.1
-
-Note this scripts does not grade your report. To grade your report, use:
-
-> python report1_grade.py
-
-Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
-For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
-
-> python -m course_package.report1
-
-see https://docs.python.org/3.9/using/cmdline.html
-""", formatter_class=argparse.RawTextHelpFormatter)
-parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
-parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
-parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
-parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
-parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
-
-def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
- args = parser.parse_args()
- if question is None and args.q is not None:
- question = args.q
- if "." in question:
- question, qitem = [int(v) for v in question.split(".")]
- else:
- question = int(question)
-
- if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
- raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
-
- if unmute is None:
- unmute = args.unmute
- if passall is None:
- passall = args.passall
-
- results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
- show_tol_err=show_tol_err)
-
-
- if question is None:
- print("Provisional evaluation")
- tabulate(table_data)
- table = table_data
- print(tabulate(table))
- print(" ")
-
- fr = inspect.getouterframes(inspect.currentframe())[1].filename
- gfile = os.path.basename(fr)[:-3] + "_grade.py"
- if os.path.exists(gfile):
- print("Note your results have not yet been registered. \nTo register your results, please run the file:")
- print(">>>", gfile)
- print("In the same manner as you ran this file.")
-
-
- return results
-
-
-def upack(q):
- # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
- h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
- h = np.asarray(h)
- return h[:,0], h[:,1], h[:,2],
-
-class UnitgradeTextRunner(unittest.TextTestRunner):
- def __init__(self, *args, **kwargs):
- super().__init__(*args, **kwargs)
-
-class SequentialTestLoader(unittest.TestLoader):
- def getTestCaseNames(self, testCaseClass):
- test_names = super().getTestCaseNames(testCaseClass)
- # testcase_methods = list(testCaseClass.__dict__.keys())
- ls = []
- for C in testCaseClass.mro():
- if issubclass(C, unittest.TestCase):
- ls = list(C.__dict__.keys()) + ls
- testcase_methods = ls
- test_names.sort(key=testcase_methods.index)
- return test_names
-
-def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
- show_progress_bar=True,
- show_tol_err=False,
- big_header=True):
-
- now = datetime.now()
- if big_header:
- ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
- b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
- else:
- b = "Unitgrade"
- print(b + " v" + __version__)
- dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
- s = report.title
- if hasattr(report, "version") and report.version is not None:
- s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
- # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
- table_data = []
- nL = 80
- t_start = time.time()
- score = {}
- loader = SequentialTestLoader()
-
- for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
- if question is not None and n+1 != question:
- continue
- suite = loader.loadTestsFromTestCase(q)
- qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
- q_title_print = "Question %i: %s"%(n+1, qtitle)
- print(q_title_print, end="")
- q.possible = 0
- q.obtained = 0
- q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
- UTextResult.q_title_print = q_title_print # Hacky
- UTextResult.show_progress_bar = show_progress_bar # Hacky.
- UTextResult.number = n
-
- res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
-
- possible = res.testsRun
- obtained = len(res.successes)
-
- assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
-
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
- obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
- score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
- q.obtained = obtained
- q.possible = possible
-
- s1 = f"*** Question q{n+1}"
- s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
- print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
-
- ws, possible, obtained = upack(score)
- possible = int( msum(possible) )
- obtained = int( msum(obtained) ) # Cast to python int
- report.possible = possible
- report.obtained = obtained
- now = datetime.now()
- dt_string = now.strftime("%H:%M:%S")
-
- dt = int(time.time()-t_start)
- minutes = dt//60
- seconds = dt - minutes*60
- plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
-
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
-
- table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
- results = {'total': (obtained, possible), 'details': score}
- return results, table_data
-
-
-
-
-from tabulate import tabulate
-from datetime import datetime
-import inspect
-import json
-import os
-import bz2
-import pickle
-import os
-
-def bzwrite(json_str, token): # to get around obfuscation issues
- with getattr(bz2, 'open')(token, "wt") as f:
- f.write(json_str)
-
-def gather_imports(imp):
- resources = {}
- m = imp
- # for m in pack_imports:
- # print(f"*** {m.__name__}")
- f = m.__file__
- # dn = os.path.dirname(f)
- # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
- # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
- top_package = os.path.dirname(m.__file__)
- module_import = True
- else:
- top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
- module_import = False
-
- # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
- # top_package = os.path.dirname(top_package)
- import zipfile
- # import strea
- # zipfile.ZipFile
- import io
- # file_like_object = io.BytesIO(my_zip_data)
- zip_buffer = io.BytesIO()
- with zipfile.ZipFile(zip_buffer, 'w') as zip:
- # zip.write()
- for root, dirs, files in os.walk(top_package):
- for file in files:
- if file.endswith(".py"):
- fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
- zip.write(fpath, v)
-
- resources['zipfile'] = zip_buffer.getvalue()
- resources['top_package'] = top_package
- resources['module_import'] = module_import
- return resources, top_package
-
- if f.endswith("__init__.py"):
- for root, dirs, files in os.walk(os.path.dirname(f)):
- for file in files:
- if file.endswith(".py"):
- # print(file)
- # print()
- v = os.path.relpath(os.path.join(root, file), top_package)
- with open(os.path.join(root, file), 'r') as ff:
- resources[v] = ff.read()
- else:
- v = os.path.relpath(f, top_package)
- with open(f, 'r') as ff:
- resources[v] = ff.read()
- return resources
-
-import argparse
-parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
-
-> python report1_grade.py
-
-Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
-For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
-
-> python -m course_package.report1
-
-see https://docs.python.org/3.9/using/cmdline.html
-""", formatter_class=argparse.RawTextHelpFormatter)
-parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
-parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
-
-def gather_upload_to_campusnet(report, output_dir=None):
- n = report.nL
- args = parser.parse_args()
- results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
- show_progress_bar=not args.noprogress,
- big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
- # also load the source code of missing files...
-
- sources = {}
-
- if not args.autolab:
- if len(report.individual_imports) > 0:
- print("By uploading the .token file, you verify the files:")
- for m in report.individual_imports:
- print(">", m.__file__)
- print("Are created/modified individually by you in agreement with DTUs exam rules")
- report.pack_imports += report.individual_imports
-
- if len(report.pack_imports) > 0:
- print("Including files in upload...")
- for k, m in enumerate(report.pack_imports):
- nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
- nimp['report_relative_location'] = report_relative_location
- nimp['name'] = m.__name__
- sources[k] = nimp
- # if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
- # sources = {**sources, **nimp}
- results['sources'] = sources
-
- if output_dir is None:
- output_dir = os.getcwd()
-
- payload_out_base = report.__class__.__name__ + "_handin"
-
- obtain, possible = results['total']
- vstring = "_v"+report.version if report.version is not None else ""
-
- token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
- token = os.path.join(output_dir, token)
- with open(token, 'wb') as f:
- pickle.dump(results, f)
-
- if not args.autolab:
- print(" ")
- print("To get credit for your results, please upload the single file: ")
- print(">", token)
- print("To campusnet without any modifications.")
-
- # print("Now time for some autolab fun")
-
-def source_instantiate(name, report1_source, payload):
- eval("exec")(report1_source, globals())
- pl = pickle.loads(bytes.fromhex(payload))
- report = eval(name)(payload=pl, strict=True)
- # report.set_payload(pl)
- return report
-
-
-
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\n# class MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n# raise Exception("no suite")\n# pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n # item_title = item_title.split("\\n")[0]\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n self._stdout = sys.stdout\n import io\n sys.stdout = io.StringIO()\n super().setUp()\n # print("Setting up...")\n\n def _callTearDown(self):\n sys.stdout = self._stdout\n super().tearDown()\n # print("asdfsfd")\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n# from unitgrade2.unitgrade2 import MySuite\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
-report1_payload = '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'
-name="Report3"
-
-report = source_instantiate(name, report1_source, report1_payload)
-output_dir = os.path.dirname(__file__)
-gather_upload_to_campusnet(report, output_dir)
diff --git a/examples/example_docker/run_all_docker.py b/examples/example_docker/run_all_docker.py
new file mode 100644
index 0000000..15e9ea7
--- /dev/null
+++ b/examples/example_docker/run_all_docker.py
@@ -0,0 +1,57 @@
+from unitgrade_private2.docker_helpers import docker_run_token_file
+import os
+import glob
+import pickle
+import time
+
+""" Run all examples on docker. """
+
+if __name__ == "__main__":
+ # Step 0: Compile our two docker images.
+ from unitgrade_private2.docker_helpers import compile_docker_image
+
+ docker_files = [f"{os.getcwd()}/../../docker_images/unitgrade-docker/Dockerfile"]
+ docker_tags = []
+ for f in docker_files:
+ tag = compile_docker_image(f)
+ docker_tags.append( (f, tag) )
+
+ EX_BASE = f"{os.getcwd()}/../" # Base of examples.
+
+ runs = [
+ ("example_flat", "programs", "programs/report1flat_grade.py", "programs", "programs/report1flat_grade.py",),
+ ("example_simplest", "", "cs101/report1_grade.py", "", "cs101/report1_grade.py", ),
+ ("example_framework", "", "cs102/report2_grade.py", "", "cs102/report2_grade.py", ),
+ ("example_docker", "", "cs103/report3_complete_grade.py", "", "cs103/report3_grade.py",),
+ ]
+ rs = []
+
+ def p2mod(file, base):
+ return ".".join(os.path.normpath(os.path.relpath(file, base)).split(os.sep))[:-3]
+ start = time.time()
+ for ex, ibase, ig, sbase, sg in runs:
+ ibase = f"{EX_BASE}/{ex}/instructor/{ibase}"
+ ig = f"{EX_BASE}/{ex}/instructor/{ig}"
+ sbase = f"{EX_BASE}/{ex}/students/{sbase}"
+ sg = f"{EX_BASE}/{ex}/students/{sg}"
+
+ # Uncomment to run example deployment scripts:
+ # os.system(f"cd {ibase} && python -m {p2mod(os.path.dirname(ig) + '/deploy.py', ibase)}")
+
+ os.system(f"cd {sbase} && python -m { p2mod(sg, sbase) }")
+ stoken = glob.glob(f"{os.path.dirname(sg)}/*.token")[0]
+
+ Dockerfile, tag = docker_tags[0] # Get first docker file.
+ token = docker_run_token_file(Dockerfile_location=Dockerfile,
+ host_tmp_dir=os.path.dirname(Dockerfile) + "/tmp",
+ student_token_file=stoken,
+ instructor_grade_script=ig)
+ with open(token, 'rb') as f:
+ iresults = pickle.load(f)
+ with open(stoken, 'rb') as f:
+ sresults = pickle.load(f)
+ rs.append( (ex, sresults, iresults) )
+
+ for ex, sresults, iresults in rs:
+ print( f"[{ex}]", "Student's score was:", sresults['total'], "score using my eval script", iresults['total'])
+ print("Total elapsed time", time.time()-start, "seconds")
\ No newline at end of file
diff --git a/examples/example_docker/students/cs103/.coverage b/examples/example_docker/students/cs103/.coverage
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diff --git a/examples/example_docker/students/cs103/Report3_handin_10_of_30.token b/examples/example_docker/students/cs103/Report3_handin_10_of_30.token
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index 5c552a81fc42feaf0654da24d93270b73dc806af..d82e790ad8cee1871f1919af140451af558d6b85 100644
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delta 20
bcmaFB{(zl3l$V!_fq{X+V6MSN?yJlIG*SfQ
delta 20
bcmaFB{(zl3l$V!_fq{WR`Jc{4?yJlIHYo)(
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index 6dfacc25f48700797f5286eae416edaeaf0e2b5b..0e7a0c627f56abdd78d2ba3ec05f9d13ea233030 100644
GIT binary patch
delta 20
bcmX@ec94xbk(ZZ?fq{YHakBPCZZl>8GI|7s
delta 20
bcmX@ec94xbk(ZZ?fq{V`+D&sKw;3}4E(!zQ
diff --git a/examples/example_docker/students/cs103/__pycache__/report3.cpython-38.pyc b/examples/example_docker/students/cs103/__pycache__/report3.cpython-38.pyc
index da19a02cc1c508d3eaafcf35b0b34e9d58501d7e..78157d3ccd77777a3e6bdc5d8ef57fa286b7b497 100644
GIT binary patch
delta 25
gcmaFC^@58pl$V!_fq{WRf388I7xPBGNLEH>08T#zHvj+t
delta 25
gcmaFC^@58pl$V!_fq{WR>7P#Gai)!Yk*ti209Azs0RR91
diff --git a/examples/example_docker/students/cs103/__pycache__/report3_complete.cpython-38.pyc b/examples/example_docker/students/cs103/__pycache__/report3_complete.cpython-38.pyc
index 921af5c7208e7aa4d953fa1e4551029aeb05c182..41e62d06e5af5bb771d3c92d6afde5e8a0d36380 100644
GIT binary patch
delta 24
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delta 24
fcmcb@dxe)bl$V!_fq{X6_n%Ip=|<jTY>bQmN<0Ok
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index 2f18f8be0976727ab41dd1114924b8483c6d3aac..3e87b71662ab4e431da5c9b952594f5411205f72 100644
GIT binary patch
delta 948
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diff --git a/examples/example_docker/students/cs103/report3.py b/examples/example_docker/students/cs103/report3.py
index c97b5a4..f83bb53 100644
--- a/examples/example_docker/students/cs103/report3.py
+++ b/examples/example_docker/students/cs103/report3.py
@@ -1,8 +1,8 @@
"""
Example student code. This file is automatically generated from the files in the instructor-directory
"""
-from unitgrade2.unitgrade2 import UTestCase, Report, hide
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import UTestCase, Report
+from src.unitgrade2 import evaluate_report_student
class Week1(UTestCase):
""" The first question for week 1. """
@@ -24,4 +24,6 @@ class Report3(Report):
pack_imports = [cs103]
if __name__ == "__main__":
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet(Report3())
evaluate_report_student(Report3())
diff --git a/examples/example_docker/students/cs103/report3_grade.py b/examples/example_docker/students/cs103/report3_grade.py
index ecff9f7..3c64c04 100644
--- a/examples/example_docker/students/cs103/report3_grade.py
+++ b/examples/example_docker/students/cs103/report3_grade.py
@@ -6,15 +6,10 @@ from tabulate import tabulate
from datetime import datetime
import pyfiglet
import unittest
-# from unitgrade2.unitgrade2 import MySuite
-
import inspect
import os
import argparse
-import sys
import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
To run all tests in a report:
@@ -115,24 +110,20 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
else:
b = "Unitgrade"
- print(b + " v" + __version__)
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
s = report.title
if hasattr(report, "version") and report.version is not None:
s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ print(s, "(use --help for options)" if show_help_flag else "")
# print(f"Loaded answers from: ", report.computed_answers_file, "\n")
table_data = []
- nL = 80
t_start = time.time()
score = {}
loader = SequentialTestLoader()
for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
if question is not None and n+1 != question:
continue
suite = loader.loadTestsFromTestCase(q)
@@ -142,11 +133,10 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
q.possible = 0
q.obtained = 0
q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
UTextResult.q_title_print = q_title_print # Hacky
UTextResult.show_progress_bar = show_progress_bar # Hacky.
UTextResult.number = n
+ UTextResult.nL = report.nL
res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
@@ -155,20 +145,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
q.obtained = obtained
q.possible = possible
- s1 = f"*** Question q{n+1}"
+ s1 = f" * q{n+1}) Total"
s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
ws, possible, obtained = upack(score)
possible = int( msum(possible) )
@@ -183,15 +169,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
seconds = dt - minutes*60
plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
results = {'total': (obtained, possible), 'details': score}
return results, table_data
-
-
from tabulate import tabulate
from datetime import datetime
import inspect
@@ -214,7 +201,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -235,7 +223,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -279,14 +267,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -299,12 +287,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -317,15 +308,17 @@ def gather_upload_to_campusnet(report, output_dir=None):
vstring = "_v"+report.version if report.version is not None else ""
token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
- token = os.path.join(output_dir, token)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
with open(token, 'wb') as f:
pickle.dump(results, f)
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
@@ -338,8 +331,8 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\n# class MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n# raise Exception("no suite")\n# pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n # item_title = item_title.split("\\n")[0]\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n self._stdout = sys.stdout\n import io\n sys.stdout = io.StringIO()\n super().setUp()\n # print("Setting up...")\n\n def _callTearDown(self):\n sys.stdout = self._stdout\n super().tearDown()\n # print("asdfsfd")\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n# from unitgrade2.unitgrade2 import MySuite\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
-report1_payload = '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'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.normpath(os.path.join(output_dir, token))\n\n\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n from cs103.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n\nclass AutomaticPass(UTestCase):\n def test_student_passed(self):\n self.assertEqual(2,2)\n\n\nimport cs103\nclass Report3(Report):\n title = "CS 101 Report 3"\n questions = [(Week1, 20), (AutomaticPass, 10)] # Include a single question for 10 credits.\n pack_imports = [cs103]'
+report1_payload = '80049568000000000000007d94288c055765656b31947d942868018c08746573745f6164649486948c066173736572749486947d94284b014aa1ffffff4b004b04758c0474696d6594473fb71ac800000000758c0d4175746f6d6174696350617373947d946808473fb127100000000073752e'
name="Report3"
report = source_instantiate(name, report1_source, report1_payload)
diff --git a/examples/example_docker/students/cs103/unitgrade/AutomaticPass.pkl b/examples/example_docker/students/cs103/unitgrade/AutomaticPass.pkl
index 2a722e2b9c8264b76eca73fec2c7dd84eb0e02d3..9b6ff7ac689837f86e1b0e393993ec7acbb784e8 100644
GIT binary patch
literal 4
LcmZo*@zVnU0@?uq
literal 93
zcmZo*nHt0Z0ku;!dUzd6OY(CQOEQxK5{rwc^az)v7MH{qmz1WY=9R=3Bo-H^rc7y@
m(!&N~6_reBn^HR^gE51tZAuSINoH>9l(s4E5YreKO7#HeD<BB~
diff --git a/examples/example_docker/students/cs103/unitgrade/Week1.pkl b/examples/example_docker/students/cs103/unitgrade/Week1.pkl
index fe27b785553c86fe6975853b9990eed439d2d5bc..20eb565b4b7903e4aef2d3d44e08726a2b0e14ed 100644
GIT binary patch
delta 22
ZcmWHy<85G>YRmuuwNobY=`$7U0RS=m1aSZW
delta 47
ucmcBu=WAe@>cap5wNo@E^6E=vFlI2dP3d7N$;?fi(l*5%BFVr|ss{iFA`0yQ
diff --git a/examples/example_flat/instructor/cs101flat/Report1Flat_handin_10_of_10.token b/examples/example_flat/instructor/cs101flat/Report1Flat_handin_10_of_10.token
new file mode 100644
index 0000000000000000000000000000000000000000..6207232bba6714f3ffac3686c93f17dac4be1cb1
GIT binary patch
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diff --git a/examples/example_flat/instructor/cs101flat/deploy.py b/examples/example_flat/instructor/cs101flat/deploy.py
new file mode 100644
index 0000000..be04b5a
--- /dev/null
+++ b/examples/example_flat/instructor/cs101flat/deploy.py
@@ -0,0 +1,15 @@
+from report1flat import Report1Flat
+from unitgrade_private2.hidden_create_files import setup_grade_file_report
+from snipper import snip_dir
+
+if __name__ == "__main__":
+ setup_grade_file_report(Report1Flat, minify=False, obfuscate=False, execute=False)
+
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet((Report1Flat()))
+
+ # Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
+ snip_dir.snip_dir(source_dir="", dest_dir="../../students/cs101flat", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
+
+
+
diff --git a/examples/example_flat/instructor/cs101flat/homework1.py b/examples/example_flat/instructor/cs101flat/homework1.py
new file mode 100644
index 0000000..286b79f
--- /dev/null
+++ b/examples/example_flat/instructor/cs101flat/homework1.py
@@ -0,0 +1,16 @@
+def reverse_list(mylist): #!f
+ """
+ Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
+ reverse_list([1,2,3]) should return [3,2,1] (as a list).
+ """
+ return list(reversed(mylist))
+
+def add(a,b): #!f
+ """ Given two numbers `a` and `b` this function should simply return their sum:
+ > add(a,b) = a+b """
+ return a+b
+
+if __name__ == "__main__":
+ # Problem 1: Write a function which add two numbers
+ print(f"Your result of 2 + 2 = {add(2,2)}")
+ print(f"Reversing a small list", reverse_list([2,3,5,7]))
diff --git a/examples/example_flat/instructor/cs101flat/report1flat.py b/examples/example_flat/instructor/cs101flat/report1flat.py
new file mode 100644
index 0000000..9ede035
--- /dev/null
+++ b/examples/example_flat/instructor/cs101flat/report1flat.py
@@ -0,0 +1,24 @@
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
+from homework1 import reverse_list, add
+import unittest
+
+class Week1(unittest.TestCase):
+ def test_add(self):
+ self.assertEqual(add(2,2), 4)
+ self.assertEqual(add(-100, 5), -95)
+
+ def test_reverse(self):
+ self.assertEqual(reverse_list([1,2,3]), [3,2,1])
+
+
+import homework1
+class Report1Flat(Report):
+ title = "CS 101 Report 1"
+ questions = [(Week1, 10)] # Include a single question for 10 credits.
+ pack_imports = [homework1]
+
+if __name__ == "__main__":
+ # Uncomment to simply run everything as a unittest:
+ # unittest.main(verbosity=2)
+ evaluate_report_student(Report1Flat())
diff --git a/examples/example_flat/instructor/cs101flat/report1flat_grade.py b/examples/example_flat/instructor/cs101flat/report1flat_grade.py
new file mode 100644
index 0000000..48b0980
--- /dev/null
+++ b/examples/example_flat/instructor/cs101flat/report1flat_grade.py
@@ -0,0 +1,349 @@
+
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+# from unitgrade2.unitgrade2 import MySuite
+
+import inspect
+import os
+import argparse
+import sys
+import time
+import threading # don't import Thread bc. of minify issue.
+import tqdm # don't do from tqdm import tqdm because of minify-issue
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ print(b + " v" + __version__)
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ nL = 80
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ # q = q()
+ # q_hidden = False
+ # q_hidden = issubclass(q.__class__, Hidden)
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ # unittest.Te
+ # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ # possible = int(ws @ possible)
+ # obtained = int(ws @ obtained)
+ # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f"*** Question q{n+1}"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ print(" ")
+ print("="*n)
+ print("Final evaluation")
+ print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f"*** {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.join(output_dir, token)
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single file: ")
+ print(">", token)
+ print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport os\nfrom io import StringIO\nfrom unittest.runner import _WritelnDecorator\nimport inspect\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n# class MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n# raise Exception("no suite")\n# pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="")\n else:\n print( dot_parts, end="")\n\n if tsecs >= 0.1:\n state += " (" + str(tsecs) + " seconds)"\n print(state)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n # item_title = item_title.split("\\n")[0]\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n# def wrapper(foo):\n# def magic(self):\n# # s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n# foo(self)\n# magic.__doc__ = foo.__doc__\n# return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n self._stdout = sys.stdout\n import io\n sys.stdout = io.StringIO()\n super().setUp()\n # print("Setting up...")\n\n def _callTearDown(self):\n sys.stdout = self._stdout\n super().tearDown()\n # print("asdfsfd")\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n# from unitgrade2.unitgrade2 import MySuite\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n\n\nimport homework1\nclass Report1Flat(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [homework1]'
+report1_payload = '8004953f000000000000007d948c055765656b31947d948c2c6e6f20636163686520736565205f73657475705f616e737765727320696e20756e69746772616465322e7079948873732e'
+name="Report1Flat"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
\ No newline at end of file
diff --git a/examples/example_flat/students/cs101flat/Report1Flat_handin_0_of_10.token b/examples/example_flat/students/cs101flat/Report1Flat_handin_0_of_10.token
new file mode 100644
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diff --git a/examples/example_flat/students/cs101flat/homework1.py b/examples/example_flat/students/cs101flat/homework1.py
new file mode 100644
index 0000000..3543f1b
--- /dev/null
+++ b/examples/example_flat/students/cs101flat/homework1.py
@@ -0,0 +1,21 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+def reverse_list(mylist):
+ """
+ Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
+ reverse_list([1,2,3]) should return [3,2,1] (as a list).
+ """
+ # TODO: 1 lines missing.
+ raise NotImplementedError("Implement function body")
+
+def add(a,b):
+ """ Given two numbers `a` and `b` this function should simply return their sum:
+ > add(a,b) = a+b """
+ # TODO: 1 lines missing.
+ raise NotImplementedError("Implement function body")
+
+if __name__ == "__main__":
+ # Problem 1: Write a function which add two numbers
+ print(f"Your result of 2 + 2 = {add(2,2)}")
+ print(f"Reversing a small list", reverse_list([2,3,5,7]))
diff --git a/examples/example_flat/students/cs101flat/report1flat.py b/examples/example_flat/students/cs101flat/report1flat.py
new file mode 100644
index 0000000..4a268f7
--- /dev/null
+++ b/examples/example_flat/students/cs101flat/report1flat.py
@@ -0,0 +1,27 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
+from homework1 import reverse_list, add
+import unittest
+
+class Week1(unittest.TestCase):
+ def test_add(self):
+ self.assertEqual(add(2,2), 4)
+ self.assertEqual(add(-100, 5), -95)
+
+ def test_reverse(self):
+ self.assertEqual(reverse_list([1,2,3]), [3,2,1])
+
+
+import homework1
+class Report1Flat(Report):
+ title = "CS 101 Report 1"
+ questions = [(Week1, 10)] # Include a single question for 10 credits.
+ pack_imports = [homework1]
+
+if __name__ == "__main__":
+ # Uncomment to simply run everything as a unittest:
+ # unittest.main(verbosity=2)
+ evaluate_report_student(Report1Flat())
diff --git a/examples/example_flat/students/cs101flat/report1flat_grade.py b/examples/example_flat/students/cs101flat/report1flat_grade.py
new file mode 100644
index 0000000..65db51b
--- /dev/null
+++ b/examples/example_flat/students/cs101flat/report1flat_grade.py
@@ -0,0 +1,351 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+# from unitgrade2.unitgrade2 import MySuite
+
+import inspect
+import os
+import argparse
+import sys
+import time
+import threading # don't import Thread bc. of minify issue.
+import tqdm # don't do from tqdm import tqdm because of minify-issue
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ print(b + " v" + __version__)
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ nL = 80
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ # q = q()
+ # q_hidden = False
+ # q_hidden = issubclass(q.__class__, Hidden)
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ # unittest.Te
+ # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ # possible = int(ws @ possible)
+ # obtained = int(ws @ obtained)
+ # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f"*** Question q{n+1}"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ print(" ")
+ print("="*n)
+ print("Final evaluation")
+ print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f"*** {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.join(output_dir, token)
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single file: ")
+ print(">", token)
+ print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport os\nfrom io import StringIO\nfrom unittest.runner import _WritelnDecorator\nimport inspect\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n# class MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n# raise Exception("no suite")\n# pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="")\n else:\n print( dot_parts, end="")\n\n if tsecs >= 0.1:\n state += " (" + str(tsecs) + " seconds)"\n print(state)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n # item_title = item_title.split("\\n")[0]\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n# def wrapper(foo):\n# def magic(self):\n# # s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n# foo(self)\n# magic.__doc__ = foo.__doc__\n# return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n def capture(self):\n return Capturing2(stdout=self._stdout)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n self._stdout = sys.stdout\n import io\n sys.stdout = io.StringIO()\n super().setUp()\n # print("Setting up...")\n\n def _callTearDown(self):\n sys.stdout = self._stdout\n super().tearDown()\n # print("asdfsfd")\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n# from unitgrade2.unitgrade2 import MySuite\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n\n\nimport homework1\nclass Report1Flat(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [homework1]'
+report1_payload = '8004953f000000000000007d948c055765656b31947d948c2c6e6f20636163686520736565205f73657475705f616e737765727320696e20756e69746772616465322e7079948873732e'
+name="Report1Flat"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
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diff --git a/examples/example_framework/instructor/cs102/deploy.py b/examples/example_framework/instructor/cs102/deploy.py
index c585908..4e47e5e 100644
--- a/examples/example_framework/instructor/cs102/deploy.py
+++ b/examples/example_framework/instructor/cs102/deploy.py
@@ -2,8 +2,10 @@ from cs102.report2 import Report2
from unitgrade_private2.hidden_create_files import setup_grade_file_report
from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
from snipper.snip_dir import snip_dir
-if __name__ == "__main__":
+import os
+wd = os.path.dirname(__file__)
+if __name__ == "__main__":
gather_upload_to_campusnet(Report2())
setup_grade_file_report(Report2, minify=False, obfuscate=False, execute=False)
- snip_dir(source_dir="../cs102", dest_dir="../../students/cs102", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
+ snip_dir(source_dir=wd+"/../cs102", dest_dir=wd+"/../../students/cs102", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
diff --git a/examples/example_framework/instructor/cs102/report2.py b/examples/example_framework/instructor/cs102/report2.py
index 381cdb1..c7be1cd 100644
--- a/examples/example_framework/instructor/cs102/report2.py
+++ b/examples/example_framework/instructor/cs102/report2.py
@@ -1,6 +1,7 @@
-from unitgrade2.unitgrade2 import Report
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
-from unitgrade2.unitgrade2 import UTestCase, cache, hide
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import UTestCase, cache
+
class Week1(UTestCase):
""" The first question for week 1. """
@@ -8,9 +9,6 @@ class Week1(UTestCase):
""" Docstring for this method """
from cs102.homework1 import add
self.assertEqualC(add(2,2))
- with self.capture() as out:
- print("hello world 42")
- self.assertEqual(out.numbers[0], 42)
self.assertEqualC(add(-100, 5))
def test_reverse(self):
@@ -18,6 +16,12 @@ class Week1(UTestCase):
from cs102.homework1 import reverse_list
self.assertEqualC(reverse_list([1,2,3]))
+ def test_output_capture(self):
+ with self.capture() as out:
+ print("hello world 42") # Genereate some output (i.e. in a homework script)
+ self.assertEqual(out.numbers[0], 42) # out.numbers is a list of all numbers generated
+ self.assertEqual(out.output, "hello world 42") # you can also access the raw output.
+
class Question2(UTestCase):
""" Second problem """
diff --git a/examples/example_framework/instructor/cs102/report2_grade.py b/examples/example_framework/instructor/cs102/report2_grade.py
index 503237e..eeb50ec 100644
--- a/examples/example_framework/instructor/cs102/report2_grade.py
+++ b/examples/example_framework/instructor/cs102/report2_grade.py
@@ -4,14 +4,10 @@ from tabulate import tabulate
from datetime import datetime
import pyfiglet
import unittest
-
import inspect
import os
import argparse
-import sys
import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
To run all tests in a report:
@@ -61,53 +57,6 @@ def evaluate_report_student(report, question=None, qitem=None, unmute=None, pass
show_tol_err=show_tol_err)
- # try: # For registering stats.
- # import unitgrade_private
- # import irlc.lectures
- # import xlwings
- # from openpyxl import Workbook
- # import pandas as pd
- # from collections import defaultdict
- # dd = defaultdict(lambda: [])
- # error_computed = []
- # for k1, (q, _) in enumerate(report.questions):
- # for k2, item in enumerate(q.items):
- # dd['question_index'].append(k1)
- # dd['item_index'].append(k2)
- # dd['question'].append(q.name)
- # dd['item'].append(item.name)
- # dd['tol'].append(0 if not hasattr(item, 'tol') else item.tol)
- # error_computed.append(0 if not hasattr(item, 'error_computed') else item.error_computed)
- #
- # qstats = report.wdir + "/" + report.name + ".xlsx"
- #
- # if os.path.isfile(qstats):
- # d_read = pd.read_excel(qstats).to_dict()
- # else:
- # d_read = dict()
- #
- # for k in range(1000):
- # key = 'run_'+str(k)
- # if key in d_read:
- # dd[key] = list(d_read['run_0'].values())
- # else:
- # dd[key] = error_computed
- # break
- #
- # workbook = Workbook()
- # worksheet = workbook.active
- # for col, key in enumerate(dd.keys()):
- # worksheet.cell(row=1, column=col+1).value = key
- # for row, item in enumerate(dd[key]):
- # worksheet.cell(row=row+2, column=col+1).value = item
- #
- # workbook.save(qstats)
- # workbook.close()
- #
- # except ModuleNotFoundError as e:
- # s = 234
- # pass
-
if question is None:
print("Provisional evaluation")
tabulate(table_data)
@@ -159,24 +108,20 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
else:
b = "Unitgrade"
- print(b + " v" + __version__)
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
s = report.title
if hasattr(report, "version") and report.version is not None:
s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ print(s, "(use --help for options)" if show_help_flag else "")
# print(f"Loaded answers from: ", report.computed_answers_file, "\n")
table_data = []
- nL = 80
t_start = time.time()
score = {}
loader = SequentialTestLoader()
for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
if question is not None and n+1 != question:
continue
suite = loader.loadTestsFromTestCase(q)
@@ -186,104 +131,28 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
q.possible = 0
q.obtained = 0
q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
UTextResult.q_title_print = q_title_print # Hacky
UTextResult.show_progress_bar = show_progress_bar # Hacky.
UTextResult.number = n
+ UTextResult.nL = report.nL
res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
- # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)
- z = 234
- # for j, item in enumerate(q.items):
- # if qitem is not None and question is not None and j+1 != qitem:
- # continue
- #
- # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.
- # # if not item.question.has_called_init_:
- # start = time.time()
- #
- # cc = None
- # if show_progress_bar:
- # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )
- # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)
- # from unitgrade import Capturing # DON'T REMOVE THIS LINE
- # with eval('Capturing')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.
- # try:
- # for q2 in q_with_outstanding_init:
- # q2.init()
- # q2.has_called_init_ = True
- #
- # # item.question.init() # Initialize the question. Useful for sharing resources.
- # except Exception as e:
- # if not passall:
- # if not silent:
- # print(" ")
- # print("="*30)
- # print(f"When initializing question {q.title} the initialization code threw an error")
- # print(e)
- # print("The remaining parts of this question will likely fail.")
- # print("="*30)
- #
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(q_title_print, end="")
- #
- # q_time =np.round( time.time()-start, 2)
- #
- # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")
- # print("=" * nL)
- # q_with_outstanding_init = None
- #
- # # item.question = q # Set the parent question instance for later reference.
- # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)
- #
- # if show_progress_bar:
- # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)
- # else:
- # print(item_title_print + ( '.'*max(0, nL-4-len(ss)) ), end="")
- # hidden = issubclass(item.__class__, Hidden)
- # # if not hidden:
- # # print(ss, end="")
- # # sys.stdout.flush()
- # start = time.time()
- #
- # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)
- # q_[j] = {'w': item.weight, 'possible': possible, 'obtained': current, 'hidden': hidden, 'computed': str(item._computed_answer), 'title': item.title}
- # tsecs = np.round(time.time()-start, 2)
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(item_title_print + ('.' * max(0, nL - 4 - len(ss))), end="")
- #
- # if not hidden:
- # ss = "PASS" if current == possible else "*** FAILED"
- # if tsecs >= 0.1:
- # ss += " ("+ str(tsecs) + " seconds)"
- # print(ss)
-
- # ws, possible, obtained = upack(q_)
possible = res.testsRun
obtained = len(res.successes)
assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
q.obtained = obtained
q.possible = possible
- s1 = f"*** Question q{n+1}"
+ s1 = f"Question {n+1} total"
s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
ws, possible, obtained = upack(score)
possible = int( msum(possible) )
@@ -298,15 +167,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
seconds = dt - minutes*60
plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
results = {'total': (obtained, possible), 'details': score}
return results, table_data
-
-
from tabulate import tabulate
from datetime import datetime
import inspect
@@ -329,7 +199,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -350,7 +221,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -394,14 +265,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -414,12 +285,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -438,9 +312,9 @@ def gather_upload_to_campusnet(report, output_dir=None):
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
@@ -453,8 +327,8 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, unmute=False, **kwargs):\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n # for item in q.items:\n # if q.name not in payloads or item.name not in payloads[q.name]:\n # s = f"> Broken resource dictionary submitted to unitgrade for question {q.name} and subquestion {item.name}. Framework will not work."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n # else:\n # item._correct_answer_payload = payloads[q.name][item.name][\'payload\']\n # item.estimated_time = payloads[q.name][item.name].get("time", 1)\n # q.estimated_time = payloads[q.name].get("time", 1)\n # if "precomputed" in payloads[q.name][item.name]: # Consider removing later.\n # item._precomputed_payload = payloads[q.name][item.name][\'precomputed\']\n # try:\n # if "title" in payloads[q.name][item.name]: # can perhaps be removed later.\n # item.title = payloads[q.name][item.name][\'title\']\n # except Exception as e: # Cannot set attribute error. The title is a function (and probably should not be).\n # pass\n # # print("bad", e)\n # self.payloads = payloads\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\nclass MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n item_title = item_title.split("\\n")[0]\n\n item_title = test.shortDescription() # Better for printing (get from cache).\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 2\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n @classmethod\n def question_title(cls):\n return cls.__doc__.splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n # def _callSetUp(self):\n # # Always run before method is called.\n # print("asdf")\n # pass\n # @classmethod\n # def setUpClass(cls):\n # # self._cache_put((self.cache_id(), \'title\'), value)\n # cls.reset()\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n # def unique_cache_id(self):\n # k0 = self.cache_id()\n # # key = ()\n # i = 0\n # for i in itertools.count():\n # # key = k0 + (i,)\n # if i not in self._cache_get( (k0, \'assert\') ):\n # break\n # return i\n # return key\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n #\n # def _cache2_contains(self, key):\n # print("Is this needed?")\n # self._ensure_cache_exists()\n # return key in self.__class__._cache2\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n # try: # For registering stats.\n # import unitgrade_private\n # import irlc.lectures\n # import xlwings\n # from openpyxl import Workbook\n # import pandas as pd\n # from collections import defaultdict\n # dd = defaultdict(lambda: [])\n # error_computed = []\n # for k1, (q, _) in enumerate(report.questions):\n # for k2, item in enumerate(q.items):\n # dd[\'question_index\'].append(k1)\n # dd[\'item_index\'].append(k2)\n # dd[\'question\'].append(q.name)\n # dd[\'item\'].append(item.name)\n # dd[\'tol\'].append(0 if not hasattr(item, \'tol\') else item.tol)\n # error_computed.append(0 if not hasattr(item, \'error_computed\') else item.error_computed)\n #\n # qstats = report.wdir + "/" + report.name + ".xlsx"\n #\n # if os.path.isfile(qstats):\n # d_read = pd.read_excel(qstats).to_dict()\n # else:\n # d_read = dict()\n #\n # for k in range(1000):\n # key = \'run_\'+str(k)\n # if key in d_read:\n # dd[key] = list(d_read[\'run_0\'].values())\n # else:\n # dd[key] = error_computed\n # break\n #\n # workbook = Workbook()\n # worksheet = workbook.active\n # for col, key in enumerate(dd.keys()):\n # worksheet.cell(row=1, column=col+1).value = key\n # for row, item in enumerate(dd[key]):\n # worksheet.cell(row=row+2, column=col+1).value = item\n #\n # workbook.save(qstats)\n # workbook.close()\n #\n # except ModuleNotFoundError as e:\n # s = 234\n # pass\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)\n z = 234\n # for j, item in enumerate(q.items):\n # if qitem is not None and question is not None and j+1 != qitem:\n # continue\n #\n # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.\n # # if not item.question.has_called_init_:\n # start = time.time()\n #\n # cc = None\n # if show_progress_bar:\n # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )\n # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)\n # from unitgrade import Capturing # DON\'T REMOVE THIS LINE\n # with eval(\'Capturing\')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.\n # try:\n # for q2 in q_with_outstanding_init:\n # q2.init()\n # q2.has_called_init_ = True\n #\n # # item.question.init() # Initialize the question. Useful for sharing resources.\n # except Exception as e:\n # if not passall:\n # if not silent:\n # print(" ")\n # print("="*30)\n # print(f"When initializing question {q.title} the initialization code threw an error")\n # print(e)\n # print("The remaining parts of this question will likely fail.")\n # print("="*30)\n #\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(q_title_print, end="")\n #\n # q_time =np.round( time.time()-start, 2)\n #\n # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")\n # print("=" * nL)\n # q_with_outstanding_init = None\n #\n # # item.question = q # Set the parent question instance for later reference.\n # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)\n #\n # if show_progress_bar:\n # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)\n # else:\n # print(item_title_print + ( \'.\'*max(0, nL-4-len(ss)) ), end="")\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(item_title_print + (\'.\' * max(0, nL - 4 - len(ss))), end="")\n #\n # if not hidden:\n # ss = "PASS" if current == possible else "*** FAILED"\n # if tsecs >= 0.1:\n # ss += " ("+ str(tsecs) + " seconds)"\n # print(ss)\n\n # ws, possible, obtained = upack(q_)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nimport random\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n\n def test_add(self):\n """ Docstring for this method """\n from cs102.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n def test_reverse(self):\n """ Reverse a list """ # Add a title to the test.\n from cs102.homework1 import reverse_list\n self.assertEqualC(reverse_list([1,2,3]))\n\n\nclass Question2(UTestCase):\n """ Second problem """\n @cache\n def my_reversal(self, ls):\n # The \'@cache\' decorator ensures the function is not run on the *students* computer\n # Instead the code is run on the teachers computer and the result is passed on with the\n # other pre-computed results -- i.e. this function will run regardless of how the student happens to have\n # implemented reverse_list.\n from cs102.homework1 import reverse_list\n return reverse_list(ls)\n\n def test_reverse_tricky(self):\n ls = [2,4,8]\n self.title = f"Reversing a small list containing {ls=}"\n ls2 = self.my_reversal( tuple(ls) ) # This will always produce the right result.\n ls3 = self.my_reversal( tuple([1,2,3]) ) # Also works; the cache respects input arguments.\n self.assertEqualC(self.my_reversal( tuple(ls2) )) # This will actually test the students code.\n\n\nimport cs102\nclass Report2(Report):\n title = "CS 101 Report 2"\n questions = [(Week1, 10), (Question2, 8) ] # Include a single question for 10 credits.\n pack_imports = [cs102]'
-report1_payload = '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'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"Question {n+1} total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n """ Docstring for this method """\n from cs102.homework1 import add\n self.assertEqualC(add(2,2))\n with self.capture() as out:\n print("hello world 42")\n self.assertEqual(out.numbers[0], 42)\n self.assertEqualC(add(-100, 5))\n\n def test_reverse(self):\n """ Reverse a list """ # Add a title to the test.\n from cs102.homework1 import reverse_list\n self.assertEqualC(reverse_list([1,2,3]))\n\n\nclass Question2(UTestCase):\n """ Second problem """\n @cache\n def my_reversal(self, ls):\n # The \'@cache\' decorator ensures the function is not run on the *students* computer\n # Instead the code is run on the teachers computer and the result is passed on with the\n # other pre-computed results -- i.e. this function will run regardless of how the student happens to have\n # implemented reverse_list.\n from cs102.homework1 import reverse_list\n return reverse_list(ls)\n\n def test_reverse_tricky(self):\n ls = [2,4,8]\n self.title = f"Reversing a small list containing {ls=}" # Titles can be set like this at any point in the function body.\n ls2 = self.my_reversal( tuple(ls) ) # This will always produce the right result.\n ls3 = self.my_reversal( tuple([1,2,3]) ) # Also works; the cache respects input arguments.\n self.assertEqualC(self.my_reversal( tuple(ls2) )) # This will actually test the students code.\n\n\nimport cs102\nclass Report2(Report):\n title = "CS 101 Report 2"\n questions = [(Week1, 10), (Question2, 8) ]\n pack_imports = [cs102]'
+report1_payload = '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'
name="Report2"
report = source_instantiate(name, report1_source, report1_payload)
diff --git a/examples/example_framework/instructor/cs102/unitgrade/Question2.pkl b/examples/example_framework/instructor/cs102/unitgrade/Question2.pkl
index 634a7fbbe4bad27f24b2d894ef3c0b37c4f5dd94..b950c49faa2b91b7675ee266d63a13fe3652e3cc 100644
GIT binary patch
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diff --git a/examples/example_framework/instructor/cs102/unitgrade/Week1.pkl b/examples/example_framework/instructor/cs102/unitgrade/Week1.pkl
index 7912698f036128bb2a8b616c2a66c58ac9e774e5..6b4ee502e9c67e2ff3aba1b11c4911bb88195e34 100644
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delta 146
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diff --git a/examples/example_framework/students/cs102/.coverage b/examples/example_framework/students/cs102/.coverage
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diff --git a/examples/example_framework/students/cs102/Report2_handin_0_of_18.token b/examples/example_framework/students/cs102/Report2_handin_0_of_18.token
deleted file mode 100644
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diff --git a/examples/example_framework/students/cs102/report2.py b/examples/example_framework/students/cs102/report2.py
index d84e9c4..e4d6b02 100644
--- a/examples/example_framework/students/cs102/report2.py
+++ b/examples/example_framework/students/cs102/report2.py
@@ -1,18 +1,20 @@
"""
Example student code. This file is automatically generated from the files in the instructor-directory
"""
-from unitgrade2.unitgrade2 import Report
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
-from unitgrade2.unitgrade2 import UTestCase, cache, hide
-import random
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import UTestCase, cache
+
class Week1(UTestCase):
""" The first question for week 1. """
-
def test_add(self):
""" Docstring for this method """
from cs102.homework1 import add
self.assertEqualC(add(2,2))
+ with self.capture() as out:
+ print("hello world 42")
+ self.assertEqual(out.numbers[0], 42)
self.assertEqualC(add(-100, 5))
def test_reverse(self):
@@ -34,7 +36,7 @@ class Question2(UTestCase):
def test_reverse_tricky(self):
ls = [2,4,8]
- self.title = f"Reversing a small list containing {ls=}"
+ self.title = f"Reversing a small list containing {ls=}" # Titles can be set like this at any point in the function body.
ls2 = self.my_reversal( tuple(ls) ) # This will always produce the right result.
ls3 = self.my_reversal( tuple([1,2,3]) ) # Also works; the cache respects input arguments.
self.assertEqualC(self.my_reversal( tuple(ls2) )) # This will actually test the students code.
@@ -43,7 +45,7 @@ class Question2(UTestCase):
import cs102
class Report2(Report):
title = "CS 101 Report 2"
- questions = [(Week1, 10), (Question2, 8) ] # Include a single question for 10 credits.
+ questions = [(Week1, 10), (Question2, 8) ]
pack_imports = [cs102]
if __name__ == "__main__":
diff --git a/examples/example_framework/students/cs102/report2_grade.py b/examples/example_framework/students/cs102/report2_grade.py
index 1f9a885..e6318de 100644
--- a/examples/example_framework/students/cs102/report2_grade.py
+++ b/examples/example_framework/students/cs102/report2_grade.py
@@ -6,14 +6,10 @@ from tabulate import tabulate
from datetime import datetime
import pyfiglet
import unittest
-
import inspect
import os
import argparse
-import sys
import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
To run all tests in a report:
@@ -63,53 +59,6 @@ def evaluate_report_student(report, question=None, qitem=None, unmute=None, pass
show_tol_err=show_tol_err)
- # try: # For registering stats.
- # import unitgrade_private
- # import irlc.lectures
- # import xlwings
- # from openpyxl import Workbook
- # import pandas as pd
- # from collections import defaultdict
- # dd = defaultdict(lambda: [])
- # error_computed = []
- # for k1, (q, _) in enumerate(report.questions):
- # for k2, item in enumerate(q.items):
- # dd['question_index'].append(k1)
- # dd['item_index'].append(k2)
- # dd['question'].append(q.name)
- # dd['item'].append(item.name)
- # dd['tol'].append(0 if not hasattr(item, 'tol') else item.tol)
- # error_computed.append(0 if not hasattr(item, 'error_computed') else item.error_computed)
- #
- # qstats = report.wdir + "/" + report.name + ".xlsx"
- #
- # if os.path.isfile(qstats):
- # d_read = pd.read_excel(qstats).to_dict()
- # else:
- # d_read = dict()
- #
- # for k in range(1000):
- # key = 'run_'+str(k)
- # if key in d_read:
- # dd[key] = list(d_read['run_0'].values())
- # else:
- # dd[key] = error_computed
- # break
- #
- # workbook = Workbook()
- # worksheet = workbook.active
- # for col, key in enumerate(dd.keys()):
- # worksheet.cell(row=1, column=col+1).value = key
- # for row, item in enumerate(dd[key]):
- # worksheet.cell(row=row+2, column=col+1).value = item
- #
- # workbook.save(qstats)
- # workbook.close()
- #
- # except ModuleNotFoundError as e:
- # s = 234
- # pass
-
if question is None:
print("Provisional evaluation")
tabulate(table_data)
@@ -161,24 +110,20 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
else:
b = "Unitgrade"
- print(b + " v" + __version__)
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
s = report.title
if hasattr(report, "version") and report.version is not None:
s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ print(s, "(use --help for options)" if show_help_flag else "")
# print(f"Loaded answers from: ", report.computed_answers_file, "\n")
table_data = []
- nL = 80
t_start = time.time()
score = {}
loader = SequentialTestLoader()
for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
if question is not None and n+1 != question:
continue
suite = loader.loadTestsFromTestCase(q)
@@ -188,104 +133,28 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
q.possible = 0
q.obtained = 0
q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
UTextResult.q_title_print = q_title_print # Hacky
UTextResult.show_progress_bar = show_progress_bar # Hacky.
UTextResult.number = n
+ UTextResult.nL = report.nL
res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
- # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)
- z = 234
- # for j, item in enumerate(q.items):
- # if qitem is not None and question is not None and j+1 != qitem:
- # continue
- #
- # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.
- # # if not item.question.has_called_init_:
- # start = time.time()
- #
- # cc = None
- # if show_progress_bar:
- # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )
- # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)
- # from unitgrade import Capturing # DON'T REMOVE THIS LINE
- # with eval('Capturing')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.
- # try:
- # for q2 in q_with_outstanding_init:
- # q2.init()
- # q2.has_called_init_ = True
- #
- # # item.question.init() # Initialize the question. Useful for sharing resources.
- # except Exception as e:
- # if not passall:
- # if not silent:
- # print(" ")
- # print("="*30)
- # print(f"When initializing question {q.title} the initialization code threw an error")
- # print(e)
- # print("The remaining parts of this question will likely fail.")
- # print("="*30)
- #
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(q_title_print, end="")
- #
- # q_time =np.round( time.time()-start, 2)
- #
- # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")
- # print("=" * nL)
- # q_with_outstanding_init = None
- #
- # # item.question = q # Set the parent question instance for later reference.
- # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)
- #
- # if show_progress_bar:
- # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)
- # else:
- # print(item_title_print + ( '.'*max(0, nL-4-len(ss)) ), end="")
- # hidden = issubclass(item.__class__, Hidden)
- # # if not hidden:
- # # print(ss, end="")
- # # sys.stdout.flush()
- # start = time.time()
- #
- # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)
- # q_[j] = {'w': item.weight, 'possible': possible, 'obtained': current, 'hidden': hidden, 'computed': str(item._computed_answer), 'title': item.title}
- # tsecs = np.round(time.time()-start, 2)
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(item_title_print + ('.' * max(0, nL - 4 - len(ss))), end="")
- #
- # if not hidden:
- # ss = "PASS" if current == possible else "*** FAILED"
- # if tsecs >= 0.1:
- # ss += " ("+ str(tsecs) + " seconds)"
- # print(ss)
-
- # ws, possible, obtained = upack(q_)
possible = res.testsRun
obtained = len(res.successes)
assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
q.obtained = obtained
q.possible = possible
- s1 = f"*** Question q{n+1}"
+ s1 = f"Question {n+1} total"
s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
ws, possible, obtained = upack(score)
possible = int( msum(possible) )
@@ -300,15 +169,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
seconds = dt - minutes*60
plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
results = {'total': (obtained, possible), 'details': score}
return results, table_data
-
-
from tabulate import tabulate
from datetime import datetime
import inspect
@@ -331,7 +201,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -352,7 +223,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -396,14 +267,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -416,12 +287,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -440,9 +314,9 @@ def gather_upload_to_campusnet(report, output_dir=None):
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
@@ -455,8 +329,8 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, unmute=False, **kwargs):\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n # for item in q.items:\n # if q.name not in payloads or item.name not in payloads[q.name]:\n # s = f"> Broken resource dictionary submitted to unitgrade for question {q.name} and subquestion {item.name}. Framework will not work."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n # else:\n # item._correct_answer_payload = payloads[q.name][item.name][\'payload\']\n # item.estimated_time = payloads[q.name][item.name].get("time", 1)\n # q.estimated_time = payloads[q.name].get("time", 1)\n # if "precomputed" in payloads[q.name][item.name]: # Consider removing later.\n # item._precomputed_payload = payloads[q.name][item.name][\'precomputed\']\n # try:\n # if "title" in payloads[q.name][item.name]: # can perhaps be removed later.\n # item.title = payloads[q.name][item.name][\'title\']\n # except Exception as e: # Cannot set attribute error. The title is a function (and probably should not be).\n # pass\n # # print("bad", e)\n # self.payloads = payloads\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\nclass MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n item_title = item_title.split("\\n")[0]\n\n item_title = test.shortDescription() # Better for printing (get from cache).\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 2\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n @classmethod\n def question_title(cls):\n return cls.__doc__.splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n # def _callSetUp(self):\n # # Always run before method is called.\n # print("asdf")\n # pass\n # @classmethod\n # def setUpClass(cls):\n # # self._cache_put((self.cache_id(), \'title\'), value)\n # cls.reset()\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n # def unique_cache_id(self):\n # k0 = self.cache_id()\n # # key = ()\n # i = 0\n # for i in itertools.count():\n # # key = k0 + (i,)\n # if i not in self._cache_get( (k0, \'assert\') ):\n # break\n # return i\n # return key\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n #\n # def _cache2_contains(self, key):\n # print("Is this needed?")\n # self._ensure_cache_exists()\n # return key in self.__class__._cache2\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n # try: # For registering stats.\n # import unitgrade_private\n # import irlc.lectures\n # import xlwings\n # from openpyxl import Workbook\n # import pandas as pd\n # from collections import defaultdict\n # dd = defaultdict(lambda: [])\n # error_computed = []\n # for k1, (q, _) in enumerate(report.questions):\n # for k2, item in enumerate(q.items):\n # dd[\'question_index\'].append(k1)\n # dd[\'item_index\'].append(k2)\n # dd[\'question\'].append(q.name)\n # dd[\'item\'].append(item.name)\n # dd[\'tol\'].append(0 if not hasattr(item, \'tol\') else item.tol)\n # error_computed.append(0 if not hasattr(item, \'error_computed\') else item.error_computed)\n #\n # qstats = report.wdir + "/" + report.name + ".xlsx"\n #\n # if os.path.isfile(qstats):\n # d_read = pd.read_excel(qstats).to_dict()\n # else:\n # d_read = dict()\n #\n # for k in range(1000):\n # key = \'run_\'+str(k)\n # if key in d_read:\n # dd[key] = list(d_read[\'run_0\'].values())\n # else:\n # dd[key] = error_computed\n # break\n #\n # workbook = Workbook()\n # worksheet = workbook.active\n # for col, key in enumerate(dd.keys()):\n # worksheet.cell(row=1, column=col+1).value = key\n # for row, item in enumerate(dd[key]):\n # worksheet.cell(row=row+2, column=col+1).value = item\n #\n # workbook.save(qstats)\n # workbook.close()\n #\n # except ModuleNotFoundError as e:\n # s = 234\n # pass\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)\n z = 234\n # for j, item in enumerate(q.items):\n # if qitem is not None and question is not None and j+1 != qitem:\n # continue\n #\n # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.\n # # if not item.question.has_called_init_:\n # start = time.time()\n #\n # cc = None\n # if show_progress_bar:\n # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )\n # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)\n # from unitgrade import Capturing # DON\'T REMOVE THIS LINE\n # with eval(\'Capturing\')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.\n # try:\n # for q2 in q_with_outstanding_init:\n # q2.init()\n # q2.has_called_init_ = True\n #\n # # item.question.init() # Initialize the question. Useful for sharing resources.\n # except Exception as e:\n # if not passall:\n # if not silent:\n # print(" ")\n # print("="*30)\n # print(f"When initializing question {q.title} the initialization code threw an error")\n # print(e)\n # print("The remaining parts of this question will likely fail.")\n # print("="*30)\n #\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(q_title_print, end="")\n #\n # q_time =np.round( time.time()-start, 2)\n #\n # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")\n # print("=" * nL)\n # q_with_outstanding_init = None\n #\n # # item.question = q # Set the parent question instance for later reference.\n # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)\n #\n # if show_progress_bar:\n # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)\n # else:\n # print(item_title_print + ( \'.\'*max(0, nL-4-len(ss)) ), end="")\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(item_title_print + (\'.\' * max(0, nL - 4 - len(ss))), end="")\n #\n # if not hidden:\n # ss = "PASS" if current == possible else "*** FAILED"\n # if tsecs >= 0.1:\n # ss += " ("+ str(tsecs) + " seconds)"\n # print(ss)\n\n # ws, possible, obtained = upack(q_)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nimport random\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n\n def test_add(self):\n """ Docstring for this method """\n from cs102.homework1 import add\n self.assertEqualC(add(2,2))\n self.assertEqualC(add(-100, 5))\n\n def test_reverse(self):\n """ Reverse a list """ # Add a title to the test.\n from cs102.homework1 import reverse_list\n self.assertEqualC(reverse_list([1,2,3]))\n\n\nclass Question2(UTestCase):\n """ Second problem """\n @cache\n def my_reversal(self, ls):\n # The \'@cache\' decorator ensures the function is not run on the *students* computer\n # Instead the code is run on the teachers computer and the result is passed on with the\n # other pre-computed results -- i.e. this function will run regardless of how the student happens to have\n # implemented reverse_list.\n from cs102.homework1 import reverse_list\n return reverse_list(ls)\n\n def test_reverse_tricky(self):\n ls = [2,4,8]\n self.title = f"Reversing a small list containing {ls=}"\n ls2 = self.my_reversal( tuple(ls) ) # This will always produce the right result.\n ls3 = self.my_reversal( tuple([1,2,3]) ) # Also works; the cache respects input arguments.\n self.assertEqualC(self.my_reversal( tuple(ls2) )) # This will actually test the students code.\n\n\nimport cs102\nclass Report2(Report):\n title = "CS 101 Report 2"\n questions = [(Week1, 10), (Question2, 8) ] # Include a single question for 10 credits.\n pack_imports = [cs102]'
-report1_payload = '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'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"Question {n+1} total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\n\nclass Week1(UTestCase):\n """ The first question for week 1. """\n def test_add(self):\n """ Docstring for this method """\n from cs102.homework1 import add\n self.assertEqualC(add(2,2))\n with self.capture() as out:\n print("hello world 42")\n self.assertEqual(out.numbers[0], 42)\n self.assertEqualC(add(-100, 5))\n\n def test_reverse(self):\n """ Reverse a list """ # Add a title to the test.\n from cs102.homework1 import reverse_list\n self.assertEqualC(reverse_list([1,2,3]))\n\n\nclass Question2(UTestCase):\n """ Second problem """\n @cache\n def my_reversal(self, ls):\n # The \'@cache\' decorator ensures the function is not run on the *students* computer\n # Instead the code is run on the teachers computer and the result is passed on with the\n # other pre-computed results -- i.e. this function will run regardless of how the student happens to have\n # implemented reverse_list.\n from cs102.homework1 import reverse_list\n return reverse_list(ls)\n\n def test_reverse_tricky(self):\n ls = [2,4,8]\n self.title = f"Reversing a small list containing {ls=}" # Titles can be set like this at any point in the function body.\n ls2 = self.my_reversal( tuple(ls) ) # This will always produce the right result.\n ls3 = self.my_reversal( tuple([1,2,3]) ) # Also works; the cache respects input arguments.\n self.assertEqualC(self.my_reversal( tuple(ls2) )) # This will actually test the students code.\n\n\nimport cs102\nclass Report2(Report):\n title = "CS 101 Report 2"\n questions = [(Week1, 10), (Question2, 8) ]\n pack_imports = [cs102]'
+report1_payload = '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'
name="Report2"
report = source_instantiate(name, report1_source, report1_payload)
diff --git a/examples/example_framework/students/cs102/unitgrade/Question2.pkl b/examples/example_framework/students/cs102/unitgrade/Question2.pkl
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diff --git a/examples/example_framework/students/cs102/unitgrade/Week1.pkl b/examples/example_framework/students/cs102/unitgrade/Week1.pkl
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diff --git a/examples/example_jupyter/instructor/cs105/.coverage b/examples/example_jupyter/instructor/cs105/.coverage
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diff --git a/examples/example_jupyter/instructor/cs105/deploy.py b/examples/example_jupyter/instructor/cs105/deploy.py
new file mode 100644
index 0000000..8acafa9
--- /dev/null
+++ b/examples/example_jupyter/instructor/cs105/deploy.py
@@ -0,0 +1,15 @@
+from report5 import Report1Jupyter
+from unitgrade_private2.hidden_create_files import setup_grade_file_report
+from snipper import snip_dir
+
+if __name__ == "__main__":
+ setup_grade_file_report(Report1Jupyter, minify=False, obfuscate=False, execute=False)
+
+ # from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
+ # gather_upload_to_campusnet((Report1Flat()))
+
+ # Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
+ snip_dir.snip_dir(source_dir="", dest_dir="../../students/cs105", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
+
+
+
diff --git a/examples/example_jupyter/instructor/cs105/homework1.py b/examples/example_jupyter/instructor/cs105/homework1.py
new file mode 100644
index 0000000..b01dcab
--- /dev/null
+++ b/examples/example_jupyter/instructor/cs105/homework1.py
@@ -0,0 +1 @@
+# This file is blank.
diff --git a/examples/example_jupyter/instructor/cs105/report5.py b/examples/example_jupyter/instructor/cs105/report5.py
new file mode 100644
index 0000000..38e9fbd
--- /dev/null
+++ b/examples/example_jupyter/instructor/cs105/report5.py
@@ -0,0 +1,49 @@
+from src.unitgrade2.unitgrade2 import Report, UTestCase
+from src.unitgrade2 import evaluate_report_student
+import homework1
+import importnb
+from src.unitgrade2.unitgrade2 import Capturing2
+
+file = 'week2.ipynb'
+class Week1(UTestCase):
+ @classmethod
+ def setUpClass(cls) -> None:
+ with Capturing2():
+ cls.nb = importnb.Notebook.load(file)
+
+ def test_add(self):
+ self.assertEqual(Week1.nb.myfun(2,2), 4)
+ self.assertEqual(Week1.nb.myfun(2,4), 8)
+
+ def test_reverse(self):
+ self.assertEqual(Week1.nb.var, "hello world 2")
+
+# Nicer: Automatically load the notebook.
+class NBTestCase(UTestCase):
+ notebook = None
+ _nb = None
+ @classmethod
+ def setUpClass(cls) -> None:
+ with Capturing2():
+ cls._nb = importnb.Notebook.load(cls.notebook)
+
+ @property
+ def nb(self):
+ return self.__class__._nb
+
+class Question2(NBTestCase):
+ notebook = "week2.ipynb"
+ def test_add(self):
+ self.assertEqualC(self.nb.myfun(2,8))
+
+class Report1Jupyter(Report):
+ title = "CS 105 Report 5"
+ questions = [(Week1, 10),
+ (Question2, 8)
+ ] # Include a single question for 10 credits.
+ pack_imports = [homework1]
+
+if __name__ == "__main__":
+ # Uncomment to simply run everything as a unittest:
+ # unittest.main(verbosity=2)
+ evaluate_report_student(Report1Jupyter())
diff --git a/examples/example_jupyter/instructor/cs105/report5_grade.py b/examples/example_jupyter/instructor/cs105/report5_grade.py
new file mode 100644
index 0000000..3e65178
--- /dev/null
+++ b/examples/example_jupyter/instructor/cs105/report5_grade.py
@@ -0,0 +1,336 @@
+
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f" * q{n+1}) Total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.join(output_dir, token)
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nimport homework1\nimport importnb\n\nfile = \'week2.ipynb\'\nclass Week1(UTestCase):\n @classmethod\n def setUpClass(cls) -> None:\n with Capturing2():\n cls.nb = importnb.Notebook.load(file)\n\n def test_add(self):\n self.assertEqual(Week1.nb.myfun(2,2), 4)\n self.assertEqual(Week1.nb.myfun(2,4), 8)\n\n def test_reverse(self):\n self.assertEqual(Week1.nb.var, "hello world 2")\n\n# Nicer: Automatically load the notebook.\nclass NBTestCase(UTestCase):\n notebook = None\n _nb = None\n @classmethod\n def setUpClass(cls) -> None:\n with Capturing2():\n cls._nb = importnb.Notebook.load(cls.notebook)\n\n @property\n def nb(self):\n return self.__class__._nb\n\nclass Question2(NBTestCase):\n notebook = "week2.ipynb"\n def test_add(self):\n self.assertEqualC(self.nb.myfun(2,8))\n\nclass Report1Jupyter(Report):\n title = "CS 105 Report 5"\n questions = [(Week1, 10),\n (Question2, 8)\n ] # Include a single question for 10 credits.\n pack_imports = [homework1]'
+report1_payload = '8004955c000000000000007d94288c055765656b31947d948c0474696d6594473fed915600000000738c095175657374696f6e32947d942868048c08746573745f6164649486948c066173736572749486947d944b004b10736803473fcc28f40000000075752e'
+name="Report1Jupyter"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
\ No newline at end of file
diff --git a/examples/example_jupyter/instructor/cs105/unitgrade/Question2.pkl b/examples/example_jupyter/instructor/cs105/unitgrade/Question2.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..b08cef102cf660c34ffd24ee8633b7254630acac
GIT binary patch
literal 58
zcmZo*nX1nK0ku<lI0H*li%T-|^NgnSaFnDLm&7Ngq)cg>(!-WmT%1}|GNo-w?G$eY
JZ-L@sJpdXr6f^(;
literal 0
HcmV?d00001
diff --git a/examples/example_jupyter/instructor/cs105/unitgrade/Week1.pkl b/examples/example_jupyter/instructor/cs105/unitgrade/Week1.pkl
new file mode 100644
index 0000000..9b6ff7a
--- /dev/null
+++ b/examples/example_jupyter/instructor/cs105/unitgrade/Week1.pkl
@@ -0,0 +1 @@
+�N.
\ No newline at end of file
diff --git a/examples/02471/instructor/02471/week02/week2.ipynb b/examples/example_jupyter/instructor/cs105/week2.ipynb
similarity index 100%
rename from examples/02471/instructor/02471/week02/week2.ipynb
rename to examples/example_jupyter/instructor/cs105/week2.ipynb
diff --git a/examples/example_jupyter/students/cs105/.coverage b/examples/example_jupyter/students/cs105/.coverage
new file mode 100644
index 0000000000000000000000000000000000000000..572452543e2092b38f99ec9afedd779fdc155f29
GIT binary patch
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diff --git a/examples/example_jupyter/students/cs105/homework1.py b/examples/example_jupyter/students/cs105/homework1.py
new file mode 100644
index 0000000..80562c2
--- /dev/null
+++ b/examples/example_jupyter/students/cs105/homework1.py
@@ -0,0 +1,4 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+# This file is blank.
diff --git a/examples/example_jupyter/students/cs105/report5.py b/examples/example_jupyter/students/cs105/report5.py
new file mode 100644
index 0000000..e91cba1
--- /dev/null
+++ b/examples/example_jupyter/students/cs105/report5.py
@@ -0,0 +1,52 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+from src.unitgrade2.unitgrade2 import Report, UTestCase
+from src.unitgrade2 import evaluate_report_student
+import homework1
+import importnb
+from src.unitgrade2.unitgrade2 import Capturing2
+
+file = 'week2.ipynb'
+class Week1(UTestCase):
+ @classmethod
+ def setUpClass(cls) -> None:
+ with Capturing2():
+ cls.nb = importnb.Notebook.load(file)
+
+ def test_add(self):
+ self.assertEqual(Week1.nb.myfun(2,2), 4)
+ self.assertEqual(Week1.nb.myfun(2,4), 8)
+
+ def test_reverse(self):
+ self.assertEqual(Week1.nb.var, "hello world 2")
+
+# Nicer: Automatically load the notebook.
+class NBTestCase(UTestCase):
+ notebook = None
+ _nb = None
+ @classmethod
+ def setUpClass(cls) -> None:
+ with Capturing2():
+ cls._nb = importnb.Notebook.load(cls.notebook)
+
+ @property
+ def nb(self):
+ return self.__class__._nb
+
+class Question2(NBTestCase):
+ notebook = "week2.ipynb"
+ def test_add(self):
+ self.assertEqualC(self.nb.myfun(2,8))
+
+class Report1Jupyter(Report):
+ title = "CS 105 Report 5"
+ questions = [(Week1, 10),
+ (Question2, 8)
+ ] # Include a single question for 10 credits.
+ pack_imports = [homework1]
+
+if __name__ == "__main__":
+ # Uncomment to simply run everything as a unittest:
+ # unittest.main(verbosity=2)
+ evaluate_report_student(Report1Jupyter())
diff --git a/examples/example_jupyter/students/cs105/report5_grade.py b/examples/example_jupyter/students/cs105/report5_grade.py
new file mode 100644
index 0000000..b059908
--- /dev/null
+++ b/examples/example_jupyter/students/cs105/report5_grade.py
@@ -0,0 +1,338 @@
+"""
+Example student code. This file is automatically generated from the files in the instructor-directory
+"""
+import numpy as np
+from tabulate import tabulate
+from datetime import datetime
+import pyfiglet
+import unittest
+import inspect
+import os
+import argparse
+import time
+
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
+To run all tests in a report:
+
+> python assignment1_dp.py
+
+To run only question 2 or question 2.1
+
+> python assignment1_dp.py -q 2
+> python assignment1_dp.py -q 2.1
+
+Note this scripts does not grade your report. To grade your report, use:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('-q', nargs='?', type=str, default=None, help='Only evaluate this question (e.g.: -q 2)')
+parser.add_argument('--showexpected', action="store_true", help='Show the expected/desired result')
+parser.add_argument('--showcomputed', action="store_true", help='Show the answer your code computes')
+parser.add_argument('--unmute', action="store_true", help='Show result of print(...) commands in code')
+parser.add_argument('--passall', action="store_true", help='Automatically pass all tests. Useful when debugging.')
+
+def evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):
+ args = parser.parse_args()
+ if question is None and args.q is not None:
+ question = args.q
+ if "." in question:
+ question, qitem = [int(v) for v in question.split(".")]
+ else:
+ question = int(question)
+
+ if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:
+ raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")
+
+ if unmute is None:
+ unmute = args.unmute
+ if passall is None:
+ passall = args.passall
+
+ results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,
+ show_tol_err=show_tol_err)
+
+
+ if question is None:
+ print("Provisional evaluation")
+ tabulate(table_data)
+ table = table_data
+ print(tabulate(table))
+ print(" ")
+
+ fr = inspect.getouterframes(inspect.currentframe())[1].filename
+ gfile = os.path.basename(fr)[:-3] + "_grade.py"
+ if os.path.exists(gfile):
+ print("Note your results have not yet been registered. \nTo register your results, please run the file:")
+ print(">>>", gfile)
+ print("In the same manner as you ran this file.")
+
+
+ return results
+
+
+def upack(q):
+ # h = zip([(i['w'], i['possible'], i['obtained']) for i in q.values()])
+ h =[(i['w'], i['possible'], i['obtained']) for i in q.values()]
+ h = np.asarray(h)
+ return h[:,0], h[:,1], h[:,2],
+
+class UnitgradeTextRunner(unittest.TextTestRunner):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+
+class SequentialTestLoader(unittest.TestLoader):
+ def getTestCaseNames(self, testCaseClass):
+ test_names = super().getTestCaseNames(testCaseClass)
+ # testcase_methods = list(testCaseClass.__dict__.keys())
+ ls = []
+ for C in testCaseClass.mro():
+ if issubclass(C, unittest.TestCase):
+ ls = list(C.__dict__.keys()) + ls
+ testcase_methods = ls
+ test_names.sort(key=testcase_methods.index)
+ return test_names
+
+def evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,
+ show_progress_bar=True,
+ show_tol_err=False,
+ big_header=True):
+
+ now = datetime.now()
+ if big_header:
+ ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")
+ b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
+ else:
+ b = "Unitgrade"
+ dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
+ s = report.title
+ if hasattr(report, "version") and report.version is not None:
+ s += " version " + report.version
+ print(s, "(use --help for options)" if show_help_flag else "")
+ # print(f"Loaded answers from: ", report.computed_answers_file, "\n")
+ table_data = []
+ t_start = time.time()
+ score = {}
+ loader = SequentialTestLoader()
+
+ for n, (q, w) in enumerate(report.questions):
+ if question is not None and n+1 != question:
+ continue
+ suite = loader.loadTestsFromTestCase(q)
+ qtitle = q.question_title() if hasattr(q, 'question_title') else q.__qualname__
+ q_title_print = "Question %i: %s"%(n+1, qtitle)
+ print(q_title_print, end="")
+ q.possible = 0
+ q.obtained = 0
+ q_ = {} # Gather score in this class.
+ UTextResult.q_title_print = q_title_print # Hacky
+ UTextResult.show_progress_bar = show_progress_bar # Hacky.
+ UTextResult.number = n
+ UTextResult.nL = report.nL
+
+ res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
+
+ possible = res.testsRun
+ obtained = len(res.successes)
+
+ assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
+
+ obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
+ score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
+ q.obtained = obtained
+ q.possible = possible
+
+ s1 = f" * q{n+1}) Total"
+ s2 = f" {q.obtained}/{w}"
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
+ print(" ")
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
+
+ ws, possible, obtained = upack(score)
+ possible = int( msum(possible) )
+ obtained = int( msum(obtained) ) # Cast to python int
+ report.possible = possible
+ report.obtained = obtained
+ now = datetime.now()
+ dt_string = now.strftime("%H:%M:%S")
+
+ dt = int(time.time()-t_start)
+ minutes = dt//60
+ seconds = dt - minutes*60
+ plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
+
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
+
+ table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
+ results = {'total': (obtained, possible), 'details': score}
+ return results, table_data
+
+
+from tabulate import tabulate
+from datetime import datetime
+import inspect
+import json
+import os
+import bz2
+import pickle
+import os
+
+def bzwrite(json_str, token): # to get around obfuscation issues
+ with getattr(bz2, 'open')(token, "wt") as f:
+ f.write(json_str)
+
+def gather_imports(imp):
+ resources = {}
+ m = imp
+ # for m in pack_imports:
+ # print(f"*** {m.__name__}")
+ f = m.__file__
+ # dn = os.path.dirname(f)
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = str(__import__(m.__name__.split('.')[0]).__path__)
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
+ top_package = os.path.dirname(m.__file__)
+ module_import = True
+ else:
+ top_package = __import__(m.__name__.split('.')[0]).__path__._path[0]
+ module_import = False
+
+ # top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
+ # top_package = os.path.dirname(top_package)
+ import zipfile
+ # import strea
+ # zipfile.ZipFile
+ import io
+ # file_like_object = io.BytesIO(my_zip_data)
+ zip_buffer = io.BytesIO()
+ with zipfile.ZipFile(zip_buffer, 'w') as zip:
+ # zip.write()
+ for root, dirs, files in os.walk(top_package):
+ for file in files:
+ if file.endswith(".py"):
+ fpath = os.path.join(root, file)
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
+ zip.write(fpath, v)
+
+ resources['zipfile'] = zip_buffer.getvalue()
+ resources['top_package'] = top_package
+ resources['module_import'] = module_import
+ return resources, top_package
+
+ if f.endswith("__init__.py"):
+ for root, dirs, files in os.walk(os.path.dirname(f)):
+ for file in files:
+ if file.endswith(".py"):
+ # print(file)
+ # print()
+ v = os.path.relpath(os.path.join(root, file), top_package)
+ with open(os.path.join(root, file), 'r') as ff:
+ resources[v] = ff.read()
+ else:
+ v = os.path.relpath(f, top_package)
+ with open(f, 'r') as ff:
+ resources[v] = ff.read()
+ return resources
+
+import argparse
+parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Use this script to get the score of your report. Example:
+
+> python report1_grade.py
+
+Finally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.
+For instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to 'Documents/` and run:
+
+> python -m course_package.report1
+
+see https://docs.python.org/3.9/using/cmdline.html
+""", formatter_class=argparse.RawTextHelpFormatter)
+parser.add_argument('--noprogress', action="store_true", help='Disable progress bars')
+parser.add_argument('--autolab', action="store_true", help='Show Autolab results')
+
+def gather_upload_to_campusnet(report, output_dir=None):
+ n = report.nL
+ args = parser.parse_args()
+ results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
+ show_progress_bar=not args.noprogress,
+ big_header=not args.autolab)
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
+ # also load the source code of missing files...
+
+ sources = {}
+ print("")
+ if not args.autolab:
+ if len(report.individual_imports) > 0:
+ print("By uploading the .token file, you verify the files:")
+ for m in report.individual_imports:
+ print(">", m.__file__)
+ print("Are created/modified individually by you in agreement with DTUs exam rules")
+ report.pack_imports += report.individual_imports
+
+ if len(report.pack_imports) > 0:
+ print("Including files in upload...")
+ for k, m in enumerate(report.pack_imports):
+ nimp, top_package = gather_imports(m)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
+ nimp['name'] = m.__name__
+ sources[k] = nimp
+ # if len([k for k in nimp if k not in sources]) > 0:
+ print(f" * {m.__name__}")
+ # sources = {**sources, **nimp}
+ results['sources'] = sources
+
+ if output_dir is None:
+ output_dir = os.getcwd()
+
+ payload_out_base = report.__class__.__name__ + "_handin"
+
+ obtain, possible = results['total']
+ vstring = "_v"+report.version if report.version is not None else ""
+
+ token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
+ token = os.path.join(output_dir, token)
+ with open(token, 'wb') as f:
+ pickle.dump(results, f)
+
+ if not args.autolab:
+ print(" ")
+ print("To get credit for your results, please upload the single unmodified file: ")
+ print(">", token)
+ # print("To campusnet without any modifications.")
+
+ # print("Now time for some autolab fun")
+
+def source_instantiate(name, report1_source, payload):
+ eval("exec")(report1_source, globals())
+ pl = pickle.loads(bytes.fromhex(payload))
+ report = eval(name)(payload=pl, strict=True)
+ # report.set_payload(pl)
+ return report
+
+
+
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n # print(self.questions)\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n print("q is", q())\n q()._cache_put(\'time\', q.time) # = q.time\n report_cache[q.__qualname__] = q._cache2\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n # self._stdout = sys.stdout\n # sys._stdout = io.StringIO()\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f" * q{n+1}) Total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nimport homework1\nimport importnb\n\nfile = \'week2.ipynb\'\nclass Week1(UTestCase):\n @classmethod\n def setUpClass(cls) -> None:\n with Capturing2():\n cls.nb = importnb.Notebook.load(file)\n\n def test_add(self):\n self.assertEqual(Week1.nb.myfun(2,2), 4)\n self.assertEqual(Week1.nb.myfun(2,4), 8)\n\n def test_reverse(self):\n self.assertEqual(Week1.nb.var, "hello world 2")\n\n# Nicer: Automatically load the notebook.\nclass NBTestCase(UTestCase):\n notebook = None\n _nb = None\n @classmethod\n def setUpClass(cls) -> None:\n with Capturing2():\n cls._nb = importnb.Notebook.load(cls.notebook)\n\n @property\n def nb(self):\n return self.__class__._nb\n\nclass Question2(NBTestCase):\n notebook = "week2.ipynb"\n def test_add(self):\n self.assertEqualC(self.nb.myfun(2,8))\n\nclass Report1Jupyter(Report):\n title = "CS 105 Report 5"\n questions = [(Week1, 10),\n (Question2, 8)\n ] # Include a single question for 10 credits.\n pack_imports = [homework1]'
+report1_payload = '8004955c000000000000007d94288c055765656b31947d948c0474696d6594473fed915600000000738c095175657374696f6e32947d942868048c08746573745f6164649486948c066173736572749486947d944b004b10736803473fcc28f40000000075752e'
+name="Report1Jupyter"
+
+report = source_instantiate(name, report1_source, report1_payload)
+output_dir = os.path.dirname(__file__)
+gather_upload_to_campusnet(report, output_dir)
diff --git a/examples/example_jupyter/students/cs105/unitgrade/Question2.pkl b/examples/example_jupyter/students/cs105/unitgrade/Question2.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..b08cef102cf660c34ffd24ee8633b7254630acac
GIT binary patch
literal 58
zcmZo*nX1nK0ku<lI0H*li%T-|^NgnSaFnDLm&7Ngq)cg>(!-WmT%1}|GNo-w?G$eY
JZ-L@sJpdXr6f^(;
literal 0
HcmV?d00001
diff --git a/examples/example_jupyter/students/cs105/unitgrade/Week1.pkl b/examples/example_jupyter/students/cs105/unitgrade/Week1.pkl
new file mode 100644
index 0000000..9b6ff7a
--- /dev/null
+++ b/examples/example_jupyter/students/cs105/unitgrade/Week1.pkl
@@ -0,0 +1 @@
+�N.
\ No newline at end of file
diff --git a/examples/example_jupyter/students/cs105/week2.ipynb b/examples/example_jupyter/students/cs105/week2.ipynb
new file mode 100644
index 0000000..6bc411a
--- /dev/null
+++ b/examples/example_jupyter/students/cs105/week2.ipynb
@@ -0,0 +1,69 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Exercise 2.2.1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "hello world\n",
+ "6\n"
+ ]
+ }
+ ],
+ "source": [
+ "var = \"hello world 2\"\n",
+ "def myfun(a,b):\n",
+ " return a*b\n",
+ "\n",
+ "output = myfun(2,3) + 10\n",
+ "print(var)\n",
+ "print(output)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "z = 234 \n",
+ "def mymul(d):\n",
+ " return myfun(d,2)+1"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/example_simplest/instructor/cs101/Report1_handin_10_of_10.token b/examples/example_simplest/instructor/cs101/Report1_handin_10_of_10.token
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diff --git a/examples/example_simplest/instructor/cs101/deploy.py b/examples/example_simplest/instructor/cs101/deploy.py
index 3e9682d..b51f79c 100644
--- a/examples/example_simplest/instructor/cs101/deploy.py
+++ b/examples/example_simplest/instructor/cs101/deploy.py
@@ -1,16 +1,19 @@
-from report1 import Report1
+from cs101.report1 import Report1
from unitgrade_private2.hidden_create_files import setup_grade_file_report
from snipper import snip_dir
-import shutil
+import shutil, os
+wd = os.path.dirname(__file__)
if __name__ == "__main__":
- setup_grade_file_report(Report1, minify=False, obfuscate=False, execute=False)
+ setup_grade_file_report(Report1, minify=False, obfuscate=False, execute=False, bzip=False)
# Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
- snip_dir.snip_dir(source_dir="../cs101", dest_dir="../../students/cs101", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
+ snip_dir.snip_dir(source_dir=wd+"/../cs101", dest_dir=wd+"/../../students/cs101", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
- # For my own sake, copy the homework to the other examples.
- for f in ['../../../example_framework/instructor/cs102/homework1.py', '../../../example_docker/instructor/cs103/homework1.py']:
- shutil.copy('homework1.py', f)
+ # For my own sake, copy the homework file to the other examples.
+ for f in ['../../../example_framework/instructor/cs102/homework1.py',
+ '../../../example_docker/instructor/cs103/homework1.py',
+ '../../../example_flat/instructor/cs101flat/homework1.py']:
+ shutil.copy(wd+'/homework1.py', wd+"/"+f)
diff --git a/examples/example_simplest/instructor/cs101/report1.py b/examples/example_simplest/instructor/cs101/report1.py
index e00853f..447cedb 100644
--- a/examples/example_simplest/instructor/cs101/report1.py
+++ b/examples/example_simplest/instructor/cs101/report1.py
@@ -1,5 +1,5 @@
-from unitgrade2.unitgrade2 import Report
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
from cs101.homework1 import reverse_list, add
import unittest
diff --git a/examples/example_simplest/instructor/cs101/report1_grade.py b/examples/example_simplest/instructor/cs101/report1_grade.py
index 8972ab5..7f2feaa 100644
--- a/examples/example_simplest/instructor/cs101/report1_grade.py
+++ b/examples/example_simplest/instructor/cs101/report1_grade.py
@@ -4,14 +4,10 @@ from tabulate import tabulate
from datetime import datetime
import pyfiglet
import unittest
-
import inspect
import os
import argparse
-import sys
import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
To run all tests in a report:
@@ -61,53 +57,6 @@ def evaluate_report_student(report, question=None, qitem=None, unmute=None, pass
show_tol_err=show_tol_err)
- # try: # For registering stats.
- # import unitgrade_private
- # import irlc.lectures
- # import xlwings
- # from openpyxl import Workbook
- # import pandas as pd
- # from collections import defaultdict
- # dd = defaultdict(lambda: [])
- # error_computed = []
- # for k1, (q, _) in enumerate(report.questions):
- # for k2, item in enumerate(q.items):
- # dd['question_index'].append(k1)
- # dd['item_index'].append(k2)
- # dd['question'].append(q.name)
- # dd['item'].append(item.name)
- # dd['tol'].append(0 if not hasattr(item, 'tol') else item.tol)
- # error_computed.append(0 if not hasattr(item, 'error_computed') else item.error_computed)
- #
- # qstats = report.wdir + "/" + report.name + ".xlsx"
- #
- # if os.path.isfile(qstats):
- # d_read = pd.read_excel(qstats).to_dict()
- # else:
- # d_read = dict()
- #
- # for k in range(1000):
- # key = 'run_'+str(k)
- # if key in d_read:
- # dd[key] = list(d_read['run_0'].values())
- # else:
- # dd[key] = error_computed
- # break
- #
- # workbook = Workbook()
- # worksheet = workbook.active
- # for col, key in enumerate(dd.keys()):
- # worksheet.cell(row=1, column=col+1).value = key
- # for row, item in enumerate(dd[key]):
- # worksheet.cell(row=row+2, column=col+1).value = item
- #
- # workbook.save(qstats)
- # workbook.close()
- #
- # except ModuleNotFoundError as e:
- # s = 234
- # pass
-
if question is None:
print("Provisional evaluation")
tabulate(table_data)
@@ -159,24 +108,20 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
else:
b = "Unitgrade"
- print(b + " v" + __version__)
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
s = report.title
if hasattr(report, "version") and report.version is not None:
s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ print(s, "(use --help for options)" if show_help_flag else "")
# print(f"Loaded answers from: ", report.computed_answers_file, "\n")
table_data = []
- nL = 80
t_start = time.time()
score = {}
loader = SequentialTestLoader()
for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
if question is not None and n+1 != question:
continue
suite = loader.loadTestsFromTestCase(q)
@@ -186,104 +131,28 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
q.possible = 0
q.obtained = 0
q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
UTextResult.q_title_print = q_title_print # Hacky
UTextResult.show_progress_bar = show_progress_bar # Hacky.
UTextResult.number = n
+ UTextResult.nL = report.nL
res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
- # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)
- z = 234
- # for j, item in enumerate(q.items):
- # if qitem is not None and question is not None and j+1 != qitem:
- # continue
- #
- # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.
- # # if not item.question.has_called_init_:
- # start = time.time()
- #
- # cc = None
- # if show_progress_bar:
- # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )
- # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)
- # from unitgrade import Capturing # DON'T REMOVE THIS LINE
- # with eval('Capturing')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.
- # try:
- # for q2 in q_with_outstanding_init:
- # q2.init()
- # q2.has_called_init_ = True
- #
- # # item.question.init() # Initialize the question. Useful for sharing resources.
- # except Exception as e:
- # if not passall:
- # if not silent:
- # print(" ")
- # print("="*30)
- # print(f"When initializing question {q.title} the initialization code threw an error")
- # print(e)
- # print("The remaining parts of this question will likely fail.")
- # print("="*30)
- #
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(q_title_print, end="")
- #
- # q_time =np.round( time.time()-start, 2)
- #
- # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")
- # print("=" * nL)
- # q_with_outstanding_init = None
- #
- # # item.question = q # Set the parent question instance for later reference.
- # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)
- #
- # if show_progress_bar:
- # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)
- # else:
- # print(item_title_print + ( '.'*max(0, nL-4-len(ss)) ), end="")
- # hidden = issubclass(item.__class__, Hidden)
- # # if not hidden:
- # # print(ss, end="")
- # # sys.stdout.flush()
- # start = time.time()
- #
- # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)
- # q_[j] = {'w': item.weight, 'possible': possible, 'obtained': current, 'hidden': hidden, 'computed': str(item._computed_answer), 'title': item.title}
- # tsecs = np.round(time.time()-start, 2)
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(item_title_print + ('.' * max(0, nL - 4 - len(ss))), end="")
- #
- # if not hidden:
- # ss = "PASS" if current == possible else "*** FAILED"
- # if tsecs >= 0.1:
- # ss += " ("+ str(tsecs) + " seconds)"
- # print(ss)
-
- # ws, possible, obtained = upack(q_)
possible = res.testsRun
obtained = len(res.successes)
assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
q.obtained = obtained
q.possible = possible
- s1 = f"*** Question q{n+1}"
+ s1 = f"Question {n+1} total"
s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
ws, possible, obtained = upack(score)
possible = int( msum(possible) )
@@ -298,15 +167,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
seconds = dt - minutes*60
plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
results = {'total': (obtained, possible), 'details': score}
return results, table_data
-
-
from tabulate import tabulate
from datetime import datetime
import inspect
@@ -329,7 +199,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -350,7 +221,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -394,14 +265,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -414,12 +285,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -438,9 +312,9 @@ def gather_upload_to_campusnet(report, output_dir=None):
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
@@ -453,7 +327,7 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, unmute=False, **kwargs):\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n # for item in q.items:\n # if q.name not in payloads or item.name not in payloads[q.name]:\n # s = f"> Broken resource dictionary submitted to unitgrade for question {q.name} and subquestion {item.name}. Framework will not work."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n # else:\n # item._correct_answer_payload = payloads[q.name][item.name][\'payload\']\n # item.estimated_time = payloads[q.name][item.name].get("time", 1)\n # q.estimated_time = payloads[q.name].get("time", 1)\n # if "precomputed" in payloads[q.name][item.name]: # Consider removing later.\n # item._precomputed_payload = payloads[q.name][item.name][\'precomputed\']\n # try:\n # if "title" in payloads[q.name][item.name]: # can perhaps be removed later.\n # item.title = payloads[q.name][item.name][\'title\']\n # except Exception as e: # Cannot set attribute error. The title is a function (and probably should not be).\n # pass\n # # print("bad", e)\n # self.payloads = payloads\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\nclass MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n item_title = item_title.split("\\n")[0]\n\n item_title = test.shortDescription() # Better for printing (get from cache).\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 2\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n @classmethod\n def question_title(cls):\n return cls.__doc__.splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n # def _callSetUp(self):\n # # Always run before method is called.\n # print("asdf")\n # pass\n # @classmethod\n # def setUpClass(cls):\n # # self._cache_put((self.cache_id(), \'title\'), value)\n # cls.reset()\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n # def unique_cache_id(self):\n # k0 = self.cache_id()\n # # key = ()\n # i = 0\n # for i in itertools.count():\n # # key = k0 + (i,)\n # if i not in self._cache_get( (k0, \'assert\') ):\n # break\n # return i\n # return key\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n #\n # def _cache2_contains(self, key):\n # print("Is this needed?")\n # self._ensure_cache_exists()\n # return key in self.__class__._cache2\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n # try: # For registering stats.\n # import unitgrade_private\n # import irlc.lectures\n # import xlwings\n # from openpyxl import Workbook\n # import pandas as pd\n # from collections import defaultdict\n # dd = defaultdict(lambda: [])\n # error_computed = []\n # for k1, (q, _) in enumerate(report.questions):\n # for k2, item in enumerate(q.items):\n # dd[\'question_index\'].append(k1)\n # dd[\'item_index\'].append(k2)\n # dd[\'question\'].append(q.name)\n # dd[\'item\'].append(item.name)\n # dd[\'tol\'].append(0 if not hasattr(item, \'tol\') else item.tol)\n # error_computed.append(0 if not hasattr(item, \'error_computed\') else item.error_computed)\n #\n # qstats = report.wdir + "/" + report.name + ".xlsx"\n #\n # if os.path.isfile(qstats):\n # d_read = pd.read_excel(qstats).to_dict()\n # else:\n # d_read = dict()\n #\n # for k in range(1000):\n # key = \'run_\'+str(k)\n # if key in d_read:\n # dd[key] = list(d_read[\'run_0\'].values())\n # else:\n # dd[key] = error_computed\n # break\n #\n # workbook = Workbook()\n # worksheet = workbook.active\n # for col, key in enumerate(dd.keys()):\n # worksheet.cell(row=1, column=col+1).value = key\n # for row, item in enumerate(dd[key]):\n # worksheet.cell(row=row+2, column=col+1).value = item\n #\n # workbook.save(qstats)\n # workbook.close()\n #\n # except ModuleNotFoundError as e:\n # s = 234\n # pass\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)\n z = 234\n # for j, item in enumerate(q.items):\n # if qitem is not None and question is not None and j+1 != qitem:\n # continue\n #\n # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.\n # # if not item.question.has_called_init_:\n # start = time.time()\n #\n # cc = None\n # if show_progress_bar:\n # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )\n # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)\n # from unitgrade import Capturing # DON\'T REMOVE THIS LINE\n # with eval(\'Capturing\')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.\n # try:\n # for q2 in q_with_outstanding_init:\n # q2.init()\n # q2.has_called_init_ = True\n #\n # # item.question.init() # Initialize the question. Useful for sharing resources.\n # except Exception as e:\n # if not passall:\n # if not silent:\n # print(" ")\n # print("="*30)\n # print(f"When initializing question {q.title} the initialization code threw an error")\n # print(e)\n # print("The remaining parts of this question will likely fail.")\n # print("="*30)\n #\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(q_title_print, end="")\n #\n # q_time =np.round( time.time()-start, 2)\n #\n # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")\n # print("=" * nL)\n # q_with_outstanding_init = None\n #\n # # item.question = q # Set the parent question instance for later reference.\n # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)\n #\n # if show_progress_bar:\n # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)\n # else:\n # print(item_title_print + ( \'.\'*max(0, nL-4-len(ss)) ), end="")\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(item_title_print + (\'.\' * max(0, nL - 4 - len(ss))), end="")\n #\n # if not hidden:\n # ss = "PASS" if current == possible else "*** FAILED"\n # if tsecs >= 0.1:\n # ss += " ("+ str(tsecs) + " seconds)"\n # print(ss)\n\n # ws, possible, obtained = upack(q_)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom cs101.homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n # print("Bad output\\n\\n")\n\n\nimport cs101\nclass Report1(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [cs101]'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"Question {n+1} total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom cs101.homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n\n\nimport cs101\nclass Report1(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [cs101]'
report1_payload = '8004953f000000000000007d948c055765656b31947d948c2c6e6f20636163686520736565205f73657475705f616e737765727320696e20756e69746772616465322e7079948873732e'
name="Report1"
diff --git a/examples/example_simplest/students/cs101/Report1_handin_0_of_10.token b/examples/example_simplest/students/cs101/Report1_handin_0_of_10.token
deleted file mode 100644
index 5ccd4e5495ad2bbfe4c3cc09832916b356f0d31b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
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diff --git a/examples/example_simplest/students/cs101/report1.py b/examples/example_simplest/students/cs101/report1.py
index 8e5dfca..9e9fce7 100644
--- a/examples/example_simplest/students/cs101/report1.py
+++ b/examples/example_simplest/students/cs101/report1.py
@@ -1,8 +1,8 @@
"""
Example student code. This file is automatically generated from the files in the instructor-directory
"""
-from unitgrade2.unitgrade2 import Report
-from unitgrade2.unitgrade_helpers2 import evaluate_report_student
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
from cs101.homework1 import reverse_list, add
import unittest
@@ -13,7 +13,6 @@ class Week1(unittest.TestCase):
def test_reverse(self):
self.assertEqual(reverse_list([1,2,3]), [3,2,1])
- # print("Bad output\n\n")
import cs101
diff --git a/examples/example_simplest/students/cs101/report1_grade.py b/examples/example_simplest/students/cs101/report1_grade.py
index efb1981..c244e79 100644
--- a/examples/example_simplest/students/cs101/report1_grade.py
+++ b/examples/example_simplest/students/cs101/report1_grade.py
@@ -6,14 +6,10 @@ from tabulate import tabulate
from datetime import datetime
import pyfiglet
import unittest
-
import inspect
import os
import argparse
-import sys
import time
-import threading # don't import Thread bc. of minify issue.
-import tqdm # don't do from tqdm import tqdm because of minify-issue
parser = argparse.ArgumentParser(description='Evaluate your report.', epilog="""Example:
To run all tests in a report:
@@ -63,53 +59,6 @@ def evaluate_report_student(report, question=None, qitem=None, unmute=None, pass
show_tol_err=show_tol_err)
- # try: # For registering stats.
- # import unitgrade_private
- # import irlc.lectures
- # import xlwings
- # from openpyxl import Workbook
- # import pandas as pd
- # from collections import defaultdict
- # dd = defaultdict(lambda: [])
- # error_computed = []
- # for k1, (q, _) in enumerate(report.questions):
- # for k2, item in enumerate(q.items):
- # dd['question_index'].append(k1)
- # dd['item_index'].append(k2)
- # dd['question'].append(q.name)
- # dd['item'].append(item.name)
- # dd['tol'].append(0 if not hasattr(item, 'tol') else item.tol)
- # error_computed.append(0 if not hasattr(item, 'error_computed') else item.error_computed)
- #
- # qstats = report.wdir + "/" + report.name + ".xlsx"
- #
- # if os.path.isfile(qstats):
- # d_read = pd.read_excel(qstats).to_dict()
- # else:
- # d_read = dict()
- #
- # for k in range(1000):
- # key = 'run_'+str(k)
- # if key in d_read:
- # dd[key] = list(d_read['run_0'].values())
- # else:
- # dd[key] = error_computed
- # break
- #
- # workbook = Workbook()
- # worksheet = workbook.active
- # for col, key in enumerate(dd.keys()):
- # worksheet.cell(row=1, column=col+1).value = key
- # for row, item in enumerate(dd[key]):
- # worksheet.cell(row=row+2, column=col+1).value = item
- #
- # workbook.save(qstats)
- # workbook.close()
- #
- # except ModuleNotFoundError as e:
- # s = 234
- # pass
-
if question is None:
print("Provisional evaluation")
tabulate(table_data)
@@ -161,24 +110,20 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
b = "\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )
else:
b = "Unitgrade"
- print(b + " v" + __version__)
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
- print("Started: " + dt_string)
+ print(b + " v" + __version__ + ", started: " + dt_string+ "\n")
+ # print("Started: " + dt_string)
s = report.title
if hasattr(report, "version") and report.version is not None:
s += " version " + report.version
- print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")
+ print(s, "(use --help for options)" if show_help_flag else "")
# print(f"Loaded answers from: ", report.computed_answers_file, "\n")
table_data = []
- nL = 80
t_start = time.time()
score = {}
loader = SequentialTestLoader()
for n, (q, w) in enumerate(report.questions):
- # q = q()
- # q_hidden = False
- # q_hidden = issubclass(q.__class__, Hidden)
if question is not None and n+1 != question:
continue
suite = loader.loadTestsFromTestCase(q)
@@ -188,104 +133,28 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
q.possible = 0
q.obtained = 0
q_ = {} # Gather score in this class.
- # unittest.Te
- # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]
UTextResult.q_title_print = q_title_print # Hacky
UTextResult.show_progress_bar = show_progress_bar # Hacky.
UTextResult.number = n
+ UTextResult.nL = report.nL
res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)
- # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)
- z = 234
- # for j, item in enumerate(q.items):
- # if qitem is not None and question is not None and j+1 != qitem:
- # continue
- #
- # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.
- # # if not item.question.has_called_init_:
- # start = time.time()
- #
- # cc = None
- # if show_progress_bar:
- # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )
- # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)
- # from unitgrade import Capturing # DON'T REMOVE THIS LINE
- # with eval('Capturing')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.
- # try:
- # for q2 in q_with_outstanding_init:
- # q2.init()
- # q2.has_called_init_ = True
- #
- # # item.question.init() # Initialize the question. Useful for sharing resources.
- # except Exception as e:
- # if not passall:
- # if not silent:
- # print(" ")
- # print("="*30)
- # print(f"When initializing question {q.title} the initialization code threw an error")
- # print(e)
- # print("The remaining parts of this question will likely fail.")
- # print("="*30)
- #
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(q_title_print, end="")
- #
- # q_time =np.round( time.time()-start, 2)
- #
- # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")
- # print("=" * nL)
- # q_with_outstanding_init = None
- #
- # # item.question = q # Set the parent question instance for later reference.
- # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)
- #
- # if show_progress_bar:
- # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)
- # else:
- # print(item_title_print + ( '.'*max(0, nL-4-len(ss)) ), end="")
- # hidden = issubclass(item.__class__, Hidden)
- # # if not hidden:
- # # print(ss, end="")
- # # sys.stdout.flush()
- # start = time.time()
- #
- # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)
- # q_[j] = {'w': item.weight, 'possible': possible, 'obtained': current, 'hidden': hidden, 'computed': str(item._computed_answer), 'title': item.title}
- # tsecs = np.round(time.time()-start, 2)
- # if show_progress_bar:
- # cc.terminate()
- # sys.stdout.flush()
- # print(item_title_print + ('.' * max(0, nL - 4 - len(ss))), end="")
- #
- # if not hidden:
- # ss = "PASS" if current == possible else "*** FAILED"
- # if tsecs >= 0.1:
- # ss += " ("+ str(tsecs) + " seconds)"
- # print(ss)
-
- # ws, possible, obtained = upack(q_)
possible = res.testsRun
obtained = len(res.successes)
assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun
- # possible = int(ws @ possible)
- # obtained = int(ws @ obtained)
- # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0
-
obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0
score[n] = {'w': w, 'possible': w, 'obtained': obtained, 'items': q_, 'title': qtitle}
q.obtained = obtained
q.possible = possible
- s1 = f"*** Question q{n+1}"
+ s1 = f"Question {n+1} total"
s2 = f" {q.obtained}/{w}"
- print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )
+ print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )
print(" ")
- table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])
+ table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])
ws, possible, obtained = upack(score)
possible = int( msum(possible) )
@@ -300,15 +169,16 @@ def evaluate_report(report, question=None, qitem=None, passall=False, verbose=Fa
seconds = dt - minutes*60
plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")
- print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")
+ dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",
+ last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)
+
+ # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")
table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])
results = {'total': (obtained, possible), 'details': score}
return results, table_data
-
-
from tabulate import tabulate
from datetime import datetime
import inspect
@@ -331,7 +201,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -352,7 +223,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -396,14 +267,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -416,12 +287,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -440,9 +314,9 @@ def gather_upload_to_campusnet(report, output_dir=None):
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
@@ -455,7 +329,7 @@ def source_instantiate(name, report1_source, payload):
-report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n\n"""\n# from . import cache_read\nimport unittest\nimport numpy as np\nimport sys\nfrom io import StringIO\nimport collections\nimport re\nimport threading\nimport tqdm\nimport time\nimport pickle\nimport itertools\nimport os\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\ndef setup_dir_by_class(C,base_dir):\n name = C.__class__.__name__\n # base_dir = os.path.join(base_dir, name)\n # if not os.path.isdir(base_dir):\n # os.makedirs(base_dir)\n return base_dir, name\n\nclass Hidden:\n def hide(self):\n return True\n\nclass Logger(object):\n def __init__(self, buffer):\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\nclass Capturing(list):\n def __init__(self, *args, unmute=False, **kwargs):\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass QItem(unittest.TestCase):\n title = None\n testfun = None\n tol = 0\n estimated_time = 0.42\n _precomputed_payload = None\n _computed_answer = None # Internal helper to later get results.\n weight = 1 # the weight of the question.\n\n def __init__(self, question=None, *args, **kwargs):\n if self.tol > 0 and self.testfun is None:\n self.testfun = self.assertL2Relative\n elif self.testfun is None:\n self.testfun = self.assertEqual\n\n self.name = self.__class__.__name__\n # self._correct_answer_payload = correct_answer_payload\n self.question = question\n\n super().__init__(*args, **kwargs)\n if self.title is None:\n self.title = self.name\n\n def _safe_get_title(self):\n if self._precomputed_title is not None:\n return self._precomputed_title\n return self.title\n\n def assertNorm(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed).flat- np.asarray(expected)).flat )\n nrm = np.sqrt(np.sum( diff ** 2))\n\n self.error_computed = nrm\n\n if nrm > tol:\n print(f"Not equal within tolerance {tol}; norm of difference was {nrm}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def assertL2(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n self.error_computed = np.max(diff)\n\n if np.max(diff) > tol:\n print(f"Not equal within tolerance {tol=}; deviation was {np.max(diff)=}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol=}, {np.max(diff)=}")\n\n def assertL2Relative(self, computed, expected, tol=None):\n if tol == None:\n tol = self.tol\n diff = np.abs( (np.asarray(computed) - np.asarray(expected)) )\n diff = diff / (1e-8 + np.abs( (np.asarray(computed) + np.asarray(expected)) ) )\n self.error_computed = np.max(np.abs(diff))\n if np.sum(diff > tol) > 0:\n print(f"Not equal within tolerance {tol}")\n print(f"Element-wise differences {diff.tolist()}")\n self.assertEqual(computed, expected, msg=f"Not equal within tolerance {tol}")\n\n def precomputed_payload(self):\n return self._precomputed_payload\n\n def precompute_payload(self):\n # Pre-compute resources to include in tests (useful for getting around rng).\n pass\n\n def compute_answer(self, unmute=False):\n raise NotImplementedError("test code here")\n\n def test(self, computed, expected):\n self.testfun(computed, expected)\n\n def get_points(self, verbose=False, show_expected=False, show_computed=False,unmute=False, passall=False, silent=False, **kwargs):\n possible = 1\n computed = None\n def show_computed_(computed):\n print(">>> Your output:")\n print(computed)\n\n def show_expected_(expected):\n print(">>> Expected output (note: may have been processed; read text script):")\n print(expected)\n\n correct = self._correct_answer_payload\n try:\n if unmute: # Required to not mix together print stuff.\n print("")\n computed = self.compute_answer(unmute=unmute)\n except Exception as e:\n if not passall:\n if not silent:\n print("\\n=================================================================================")\n print(f"When trying to run test class \'{self.name}\' your code threw an error:", e)\n show_expected_(correct)\n import traceback\n print(traceback.format_exc())\n print("=================================================================================")\n return (0, possible)\n\n if self._computed_answer is None:\n self._computed_answer = computed\n\n if show_expected or show_computed:\n print("\\n")\n if show_expected:\n show_expected_(correct)\n if show_computed:\n show_computed_(computed)\n try:\n if not passall:\n self.test(computed=computed, expected=correct)\n except Exception as e:\n if not silent:\n print("\\n=================================================================================")\n print(f"Test output from test class \'{self.name}\' does not match expected result. Test error:")\n print(e)\n show_computed_(computed)\n show_expected_(correct)\n return (0, possible)\n return (1, possible)\n\n def score(self):\n try:\n self.test()\n except Exception as e:\n return 0\n return 1\n\nclass QPrintItem(QItem):\n def compute_answer_print(self):\n """\n Generate output which is to be tested. By default, both text written to the terminal using print(...) as well as return values\n are send to process_output (see compute_answer below). In other words, the text generated is:\n\n res = compute_Answer_print()\n txt = (any terminal output generated above)\n numbers = (any numbers found in terminal-output txt)\n\n self.test(process_output(res, txt, numbers), <expected result>)\n\n :return: Optional values for comparison\n """\n raise Exception("Generate output here. The output is passed to self.process_output")\n\n def process_output(self, res, txt, numbers):\n return res\n\n def compute_answer(self, unmute=False):\n with Capturing(unmute=unmute) as output:\n res = self.compute_answer_print()\n s = "\\n".join(output)\n s = rm_progress_bar(s) # Remove progress bar.\n numbers = extract_numbers(s)\n self._computed_answer = (res, s, numbers)\n return self.process_output(res, s, numbers)\n\nclass OrderedClassMembers(type):\n @classmethod\n def __prepare__(self, name, bases):\n return collections.OrderedDict()\n def __new__(self, name, bases, classdict):\n ks = list(classdict.keys())\n for b in bases:\n ks += b.__ordered__\n classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n return type.__new__(self, name, bases, classdict)\n\nclass QuestionGroup(metaclass=OrderedClassMembers):\n title = "Untitled question"\n partially_scored = False\n t_init = 0 # Time spend on initialization (placeholder; set this externally).\n estimated_time = 0.42\n has_called_init_ = False\n _name = None\n _items = None\n\n @property\n def items(self):\n if self._items == None:\n self._items = []\n members = [gt for gt in [getattr(self, gt) for gt in self.__ordered__ if gt not in ["__classcell__", "__init__"]] if inspect.isclass(gt) and issubclass(gt, QItem)]\n for I in members:\n self._items.append( I(question=self))\n return self._items\n\n @items.setter\n def items(self, value):\n self._items = value\n\n @property\n def name(self):\n if self._name == None:\n self._name = self.__class__.__name__\n return self._name #\n\n @name.setter\n def name(self, val):\n self._name = val\n\n def init(self):\n # Can be used to set resources relevant for this question instance.\n pass\n\n def init_all_item_questions(self):\n for item in self.items:\n if not item.question.has_called_init_:\n item.question.init()\n item.question.has_called_init_ = True\n\n\nclass Report():\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 80 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q,_) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n root_dir = self.pack_imports[0].__path__._path[0]\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q,_) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n # else:\n # if os.path.isfile(self.computed_answers_file):\n # self.set_payload(cache_read(self.computed_answers_file), strict=strict)\n # else:\n # s = f"> Warning: The pre-computed answer file, {os.path.abspath(self.computed_answers_file)} is missing. The framework will NOT work as intended. Reasons may be a broken local installation."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n import unittest\n loader = unittest.TestLoader()\n for q,_ in self.questions:\n import time\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self):\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\':True}\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n # for item in q.items:\n # if q.name not in payloads or item.name not in payloads[q.name]:\n # s = f"> Broken resource dictionary submitted to unitgrade for question {q.name} and subquestion {item.name}. Framework will not work."\n # if strict:\n # raise Exception(s)\n # else:\n # print(s)\n # else:\n # item._correct_answer_payload = payloads[q.name][item.name][\'payload\']\n # item.estimated_time = payloads[q.name][item.name].get("time", 1)\n # q.estimated_time = payloads[q.name].get("time", 1)\n # if "precomputed" in payloads[q.name][item.name]: # Consider removing later.\n # item._precomputed_payload = payloads[q.name][item.name][\'precomputed\']\n # try:\n # if "title" in payloads[q.name][item.name]: # can perhaps be removed later.\n # item.title = payloads[q.name][item.name][\'title\']\n # except Exception as e: # Cannot set attribute error. The title is a function (and probably should not be).\n # pass\n # # print("bad", e)\n # self.payloads = payloads\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct+1)\n if i > 0 and l.find("|", i+1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = \'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar",show_progress_bar=True):\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.1\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n\n # self.pbar = tqdm.tqdm(total=self.n)\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if hasattr(self, \'pbar\') and self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar=None\n\n sys.stdout.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=sys.stdout, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\') # , unit_scale=dt, unit=\'seconds\'):\n\n for _ in range(self.n-1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\n\n\nfrom unittest.suite import _isnotsuite\n\nclass MySuite(unittest.suite.TestSuite): # Not sure we need this one anymore.\n pass\n\ndef instance_call_stack(instance):\n s = "-".join(map(lambda x: x.__name__, instance.__class__.mro()))\n return s\n\ndef get_class_that_defined_method(meth):\n for cls in inspect.getmro(meth.im_class):\n if meth.__name__ in cls.__dict__:\n return cls\n return None\n\ndef caller_name(skip=2):\n """Get a name of a caller in the format module.class.method\n\n `skip` specifies how many levels of stack to skip while getting caller\n name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.\n\n An empty string is returned if skipped levels exceed stack height\n """\n stack = inspect.stack()\n start = 0 + skip\n if len(stack) < start + 1:\n return \'\'\n parentframe = stack[start][0]\n\n name = []\n module = inspect.getmodule(parentframe)\n # `modname` can be None when frame is executed directly in console\n # TODO(techtonik): consider using __main__\n if module:\n name.append(module.__name__)\n # detect classname\n if \'self\' in parentframe.f_locals:\n # I don\'t know any way to detect call from the object method\n # XXX: there seems to be no way to detect static method call - it will\n # be just a function call\n name.append(parentframe.f_locals[\'self\'].__class__.__name__)\n codename = parentframe.f_code.co_name\n if codename != \'<module>\': # top level usually\n name.append( codename ) # function or a method\n\n ## Avoid circular refs and frame leaks\n # https://docs.python.org/2.7/library/inspect.html#the-interpreter-stack\n del parentframe, stack\n\n return ".".join(name)\n\ndef get_class_from_frame(fr):\n import inspect\n args, _, _, value_dict = inspect.getargvalues(fr)\n # we check the first parameter for the frame function is\n # named \'self\'\n if len(args) and args[0] == \'self\':\n # in that case, \'self\' will be referenced in value_dict\n instance = value_dict.get(\'self\', None)\n if instance:\n # return its class\n # isinstance(instance, Testing) # is the actual class instance.\n\n return getattr(instance, \'__class__\', None)\n # return None otherwise\n return None\n\nfrom typing import Any\nimport inspect, gc\n\ndef giveupthefunc():\n frame = inspect.currentframe()\n code = frame.f_code\n globs = frame.f_globals\n functype = type(lambda: 0)\n funcs = []\n for func in gc.get_referrers(code):\n if type(func) is functype:\n if getattr(func, "__code__", None) is code:\n if getattr(func, "__globals__", None) is globs:\n funcs.append(func)\n if len(funcs) > 1:\n return None\n return funcs[0] if funcs else None\n\n\nfrom collections import defaultdict\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n # if self.dots or self.showAll:\n # self.stream.writeln()\n # if hasattr(self, \'cc\'):\n # self.cc.terminate()\n # self.cc_terminate(success=False)\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n # if self.showAll:\n # self.stream.writeln("FAIL")\n # elif self.dots:\n # self.stream.write(\'F\')\n # self.stream.flush()\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n # super().addSuccess(test)\n self.successes.append(test)\n # super().addSuccess(test)\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n self.cc_terminate()\n\n\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n sys.stdout.flush()\n ss = self.item_title_print\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(ss))), end="")\n # current = 1\n # possible = 1\n # current == possible\n ss = "PASS" if success else "FAILED"\n if tsecs >= 0.1:\n ss += " (" + str(tsecs) + " seconds)"\n print(ss)\n\n\n def startTest(self, test):\n # super().startTest(test)\n j =self.testsRun\n self.testsRun += 1\n # print("Starting the test...")\n # show_progress_bar = True\n n = UTextResult.number\n\n item_title = self.getDescription(test)\n item_title = item_title.split("\\n")[0]\n\n item_title = test.shortDescription() # Better for printing (get from cache).\n # test.countTestCases()\n self.item_title_print = "*** q%i.%i) %s" % (n + 1, j + 1, item_title)\n estimated_time = 10\n nL = 80\n #\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar)\n else:\n print(self.item_title_print + (\'.\' * max(0, nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 2\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n # q_title_print = "some printed title..."\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass == None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n print(self.cc.title, end="")\n # start = 10\n # q_time = np.round(time.time() - start, 2)\n nL = 80\n print(" " * max(0, nL - len(self.cc.title)) + (\n " (" + str(q_time) + " seconds)" if q_time >= 0.1 else "")) # if q.name in report.payloads else "")\n # print("=" * nL)\n\nfrom unittest.runner import _WritelnDecorator\nfrom io import StringIO\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n from io import StringIO\n stream = StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\ndef wrapper(foo):\n def magic(self):\n s = "-".join(map(lambda x: x.__name__, self.__class__.mro()))\n # print(s)\n foo(self)\n magic.__doc__ = foo.__doc__\n return magic\n\nfrom functools import update_wrapper, _make_key, RLock\nfrom collections import namedtuple\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)) )\n # key = (self.cache_id(), \'@cache\')\n # if self._cache_contains[key]\n\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n return wrapper\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n\n @classmethod\n def question_title(cls):\n return cls.__doc__.splitlines()[0].strip() if cls.__doc__ != None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd == None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n # self._testMethodDoc.strip().splitlines()[0].strip()\n sd = self.shortDescriptionStandard()\n title = self._cache_get( (self.cache_id(), \'title\'), sd )\n return title if title != None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n # def _callSetUp(self):\n # # Always run before method is called.\n # print("asdf")\n # pass\n # @classmethod\n # def setUpClass(cls):\n # # self._cache_put((self.cache_id(), \'title\'), value)\n # cls.reset()\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome == None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc != None:\n # Ensure the cache is eventually updated with the right docstring.\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard() )\n # Fix temp cache here (for using the @cache decorator)\n self._cache2[ (self.cache_id(), \'assert\') ] = {}\n\n res = testMethod()\n elapsed = time.time() - t\n # self._cache_put( (self.cache_id(), \'title\'), self.shortDescription() )\n\n self._get_outcome()[self.cache_id()] = res\n self._cache_put( (self.cache_id(), "time"), elapsed)\n\n # This is my base test class. So what is new about it?\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return (c,m)\n\n # def unique_cache_id(self):\n # k0 = self.cache_id()\n # # key = ()\n # i = 0\n # for i in itertools.count():\n # # key = k0 + (i,)\n # if i not in self._cache_get( (k0, \'assert\') ):\n # break\n # return i\n # return key\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n # self.cache_indexes = defaultdict(lambda: 0)\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n #\n # def _cache2_contains(self, key):\n # print("Is this needed?")\n # self._ensure_cache_exists()\n # return key in self.__class__._cache2\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n cache = self._cache_get(key, {})\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, first)\n assert_fun(first, _expected, *args, **kwargs)\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__) ) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache != None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n # print("Loading cache from", cfile)\n if os.path.exists(cfile):\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n else:\n print("Warning! data file not found", cfile)\n\ndef hide(func):\n return func\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n # (*)We can be somewhat "hygienic", but newDecorator still isn\'t signature-preserving, i.e. you will not be able to get a runtime list of parameters. For that, you need hackish libraries...but in this case, the only argument is func, so it\'s not a big issue\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\n\nimport inspect\nimport os\nimport argparse\nimport sys\nimport time\nimport threading # don\'t import Thread bc. of minify issue.\nimport tqdm # don\'t do from tqdm import tqdm because of minify-issue\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n # try: # For registering stats.\n # import unitgrade_private\n # import irlc.lectures\n # import xlwings\n # from openpyxl import Workbook\n # import pandas as pd\n # from collections import defaultdict\n # dd = defaultdict(lambda: [])\n # error_computed = []\n # for k1, (q, _) in enumerate(report.questions):\n # for k2, item in enumerate(q.items):\n # dd[\'question_index\'].append(k1)\n # dd[\'item_index\'].append(k2)\n # dd[\'question\'].append(q.name)\n # dd[\'item\'].append(item.name)\n # dd[\'tol\'].append(0 if not hasattr(item, \'tol\') else item.tol)\n # error_computed.append(0 if not hasattr(item, \'error_computed\') else item.error_computed)\n #\n # qstats = report.wdir + "/" + report.name + ".xlsx"\n #\n # if os.path.isfile(qstats):\n # d_read = pd.read_excel(qstats).to_dict()\n # else:\n # d_read = dict()\n #\n # for k in range(1000):\n # key = \'run_\'+str(k)\n # if key in d_read:\n # dd[key] = list(d_read[\'run_0\'].values())\n # else:\n # dd[key] = error_computed\n # break\n #\n # workbook = Workbook()\n # worksheet = workbook.active\n # for col, key in enumerate(dd.keys()):\n # worksheet.cell(row=1, column=col+1).value = key\n # for row, item in enumerate(dd[key]):\n # worksheet.cell(row=row+2, column=col+1).value = item\n #\n # workbook.save(qstats)\n # workbook.close()\n #\n # except ModuleNotFoundError as e:\n # s = 234\n # pass\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n print(b + " v" + __version__)\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print("Evaluating " + s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n nL = 80\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n # q = q()\n # q_hidden = False\n # q_hidden = issubclass(q.__class__, Hidden)\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n # unittest.Te\n # q_with_outstanding_init = [item.question for item in q.items if not item.question.has_called_init_]\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n # res = UTextTestRunner(verbosity=2, resultclass=unittest.TextTestResult).run(suite)\n z = 234\n # for j, item in enumerate(q.items):\n # if qitem is not None and question is not None and j+1 != qitem:\n # continue\n #\n # if q_with_outstanding_init is not None: # check for None bc. this must be called to set titles.\n # # if not item.question.has_called_init_:\n # start = time.time()\n #\n # cc = None\n # if show_progress_bar:\n # total_estimated_time = q.estimated_time # Use this. The time is estimated for the q itself. # sum( [q2.estimated_time for q2 in q_with_outstanding_init] )\n # cc = ActiveProgress(t=total_estimated_time, title=q_title_print)\n # from unitgrade import Capturing # DON\'T REMOVE THIS LINE\n # with eval(\'Capturing\')(unmute=unmute): # Clunky import syntax is required bc. of minify issue.\n # try:\n # for q2 in q_with_outstanding_init:\n # q2.init()\n # q2.has_called_init_ = True\n #\n # # item.question.init() # Initialize the question. Useful for sharing resources.\n # except Exception as e:\n # if not passall:\n # if not silent:\n # print(" ")\n # print("="*30)\n # print(f"When initializing question {q.title} the initialization code threw an error")\n # print(e)\n # print("The remaining parts of this question will likely fail.")\n # print("="*30)\n #\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(q_title_print, end="")\n #\n # q_time =np.round( time.time()-start, 2)\n #\n # print(" "* max(0,nL - len(q_title_print) ) + (" (" + str(q_time) + " seconds)" if q_time >= 0.1 else "") ) # if q.name in report.payloads else "")\n # print("=" * nL)\n # q_with_outstanding_init = None\n #\n # # item.question = q # Set the parent question instance for later reference.\n # item_title_print = ss = "*** q%i.%i) %s"%(n+1, j+1, item.title)\n #\n # if show_progress_bar:\n # cc = ActiveProgress(t=item.estimated_time, title=item_title_print)\n # else:\n # print(item_title_print + ( \'.\'*max(0, nL-4-len(ss)) ), end="")\n # hidden = issubclass(item.__class__, Hidden)\n # # if not hidden:\n # # print(ss, end="")\n # # sys.stdout.flush()\n # start = time.time()\n #\n # (current, possible) = item.get_points(show_expected=show_expected, show_computed=show_computed,unmute=unmute, passall=passall, silent=silent)\n # q_[j] = {\'w\': item.weight, \'possible\': possible, \'obtained\': current, \'hidden\': hidden, \'computed\': str(item._computed_answer), \'title\': item.title}\n # tsecs = np.round(time.time()-start, 2)\n # if show_progress_bar:\n # cc.terminate()\n # sys.stdout.flush()\n # print(item_title_print + (\'.\' * max(0, nL - 4 - len(ss))), end="")\n #\n # if not hidden:\n # ss = "PASS" if current == possible else "*** FAILED"\n # if tsecs >= 0.1:\n # ss += " ("+ str(tsecs) + " seconds)"\n # print(ss)\n\n # ws, possible, obtained = upack(q_)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n # possible = int(ws @ possible)\n # obtained = int(ws @ obtained)\n # obtained = int(myround(int((w * obtained) / possible ))) if possible > 0 else 0\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"*** Question q{n+1}"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"Question q{n+1}", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n print(f"Completed: "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n if m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n print(" ")\n print("="*n)\n print("Final evaluation")\n print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f"*** {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single file: ")\n print(">", token)\n print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom cs101.homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n # print("Bad output\\n\\n")\n\n\nimport cs101\nclass Report1(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [cs101]'
+report1_source = 'import os\n\n# DONT\'t import stuff here since install script requires __version__\n\ndef cache_write(object, file_name, verbose=True):\n import compress_pickle\n dn = os.path.dirname(file_name)\n if not os.path.exists(dn):\n os.mkdir(dn)\n if verbose: print("Writing cache...", file_name)\n with open(file_name, \'wb\', ) as f:\n compress_pickle.dump(object, f, compression="lzma")\n if verbose: print("Done!")\n\n\ndef cache_exists(file_name):\n # file_name = cn_(file_name) if cache_prefix else file_name\n return os.path.exists(file_name)\n\n\ndef cache_read(file_name):\n import compress_pickle # Import here because if you import in top the __version__ tag will fail.\n # file_name = cn_(file_name) if cache_prefix else file_name\n if os.path.exists(file_name):\n try:\n with open(file_name, \'rb\') as f:\n return compress_pickle.load(f, compression="lzma")\n except Exception as e:\n print("Tried to load a bad pickle file at", file_name)\n print("If the file appears to be automatically generated, you can try to delete it, otherwise download a new version")\n print(e)\n # return pickle.load(f)\n else:\n return None\n\n\n\n"""\ngit add . && git commit -m "Options" && git push && pip install git+ssh://git@gitlab.compute.dtu.dk/tuhe/unitgrade.git --upgrade\n"""\nimport numpy as np\nimport sys\nimport re\nimport threading\nimport tqdm\nimport pickle\nimport os\nfrom io import StringIO\nimport io\nfrom unittest.runner import _WritelnDecorator\nfrom typing import Any\nimport inspect\nimport textwrap\nimport colorama\nfrom colorama import Fore\nfrom functools import _make_key, RLock\nfrom collections import namedtuple\nimport unittest\nimport time\n\n_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])\n\ncolorama.init(autoreset=True) # auto resets your settings after every output\n\ndef gprint(s):\n print(f"{Fore.GREEN}{s}")\n\nmyround = lambda x: np.round(x) # required.\nmsum = lambda x: sum(x)\nmfloor = lambda x: np.floor(x)\n\n\ndef setup_dir_by_class(C, base_dir):\n name = C.__class__.__name__\n return base_dir, name\n\n\nclass Logger(object):\n def __init__(self, buffer):\n assert False\n self.terminal = sys.stdout\n self.log = buffer\n\n def write(self, message):\n self.terminal.write(message)\n self.log.write(message)\n\n def flush(self):\n # this flush method is needed for python 3 compatibility.\n pass\n\n\nclass Capturing(list):\n def __init__(self, *args, stdout=None, unmute=False, **kwargs):\n self._stdout = stdout\n self.unmute = unmute\n super().__init__(*args, **kwargs)\n\n def __enter__(self, capture_errors=True): # don\'t put arguments here.\n self._stdout = sys.stdout if self._stdout == None else self._stdout\n self._stringio = StringIO()\n if self.unmute:\n sys.stdout = Logger(self._stringio)\n else:\n sys.stdout = self._stringio\n\n if capture_errors:\n self._sterr = sys.stderr\n sys.sterr = StringIO() # memory hole it\n self.capture_errors = capture_errors\n return self\n\n def __exit__(self, *args):\n self.extend(self._stringio.getvalue().splitlines())\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n\nclass Capturing2(Capturing):\n def __exit__(self, *args):\n lines = self._stringio.getvalue().splitlines()\n txt = "\\n".join(lines)\n numbers = extract_numbers(txt)\n self.extend(lines)\n del self._stringio # free up some memory\n sys.stdout = self._stdout\n if self.capture_errors:\n sys.sterr = self._sterr\n\n self.output = txt\n self.numbers = numbers\n\n\n# @classmethod\n# class OrderedClassMembers(type):\n# def __prepare__(self, name, bases):\n# assert False\n# return collections.OrderedDict()\n#\n# def __new__(self, name, bases, classdict):\n# ks = list(classdict.keys())\n# for b in bases:\n# ks += b.__ordered__\n# classdict[\'__ordered__\'] = [key for key in ks if key not in (\'__module__\', \'__qualname__\')]\n# return type.__new__(self, name, bases, classdict)\n\n\nclass Report:\n title = "report title"\n version = None\n questions = []\n pack_imports = []\n individual_imports = []\n nL = 120 # Maximum line width\n\n @classmethod\n def reset(cls):\n for (q, _) in cls.questions:\n if hasattr(q, \'reset\'):\n q.reset()\n\n @classmethod\n def mfile(clc):\n return inspect.getfile(clc)\n\n def _file(self):\n return inspect.getfile(type(self))\n\n def _import_base_relative(self):\n if hasattr(self.pack_imports[0], \'__path__\'):\n root_dir = self.pack_imports[0].__path__._path[0]\n else:\n root_dir = self.pack_imports[0].__file__\n\n root_dir = os.path.dirname(root_dir)\n relative_path = os.path.relpath(self._file(), root_dir)\n modules = os.path.normpath(relative_path[:-3]).split(os.sep)\n return root_dir, relative_path, modules\n\n def __init__(self, strict=False, payload=None):\n working_directory = os.path.abspath(os.path.dirname(self._file()))\n self.wdir, self.name = setup_dir_by_class(self, working_directory)\n # self.computed_answers_file = os.path.join(self.wdir, self.name + "_resources_do_not_hand_in.dat")\n for (q, _) in self.questions:\n q.nL = self.nL # Set maximum line length.\n\n if payload is not None:\n self.set_payload(payload, strict=strict)\n\n def main(self, verbosity=1):\n # Run all tests using standard unittest (nothing fancy).\n loader = unittest.TestLoader()\n for q, _ in self.questions:\n start = time.time() # A good proxy for setup time is to\n suite = loader.loadTestsFromTestCase(q)\n unittest.TextTestRunner(verbosity=verbosity).run(suite)\n total = time.time() - start\n q.time = total\n\n def _setup_answers(self, with_coverage=False):\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = True\n q._report = self\n\n self.main() # Run all tests in class just to get that out of the way...\n report_cache = {}\n for q, _ in self.questions:\n if hasattr(q, \'_save_cache\'):\n q()._save_cache()\n q._cache[\'time\'] = q.time\n report_cache[q.__qualname__] = q._cache\n else:\n report_cache[q.__qualname__] = {\'no cache see _setup_answers in unitgrade2.py\': True}\n if with_coverage:\n for q, _ in self.questions:\n q._with_coverage = False\n return report_cache\n\n def set_payload(self, payloads, strict=False):\n for q, _ in self.questions:\n q._cache = payloads[q.__qualname__]\n\n\ndef rm_progress_bar(txt):\n # More robust version. Apparently length of bar can depend on various factors, so check for order of symbols.\n nlines = []\n for l in txt.splitlines():\n pct = l.find("%")\n ql = False\n if pct > 0:\n i = l.find("|", pct + 1)\n if i > 0 and l.find("|", i + 1) > 0:\n ql = True\n if not ql:\n nlines.append(l)\n return "\\n".join(nlines)\n\n\ndef extract_numbers(txt):\n # txt = rm_progress_bar(txt)\n numeric_const_pattern = r\'[-+]? (?: (?: \\d* \\. \\d+ ) | (?: \\d+ \\.? ) )(?: [Ee] [+-]? \\d+ ) ?\'\n rx = re.compile(numeric_const_pattern, re.VERBOSE)\n all = rx.findall(txt)\n all = [float(a) if (\'.\' in a or "e" in a) else int(a) for a in all]\n if len(all) > 500:\n print(txt)\n raise Exception("unitgrade.unitgrade.py: Warning, too many numbers!", len(all))\n return all\n\n\nclass ActiveProgress():\n def __init__(self, t, start=True, title="my progress bar", show_progress_bar=True, file=None):\n if file == None:\n file = sys.stdout\n self.file = file\n self.t = t\n self._running = False\n self.title = title\n self.dt = 0.01\n self.n = int(np.round(self.t / self.dt))\n self.show_progress_bar = show_progress_bar\n self.pbar = None\n\n if start:\n self.start()\n\n def start(self):\n self._running = True\n if self.show_progress_bar:\n self.thread = threading.Thread(target=self.run)\n self.thread.start()\n self.time_started = time.time()\n\n def terminate(self):\n if not self._running:\n raise Exception("Stopping a stopped progress bar. ")\n self._running = False\n if self.show_progress_bar:\n self.thread.join()\n if self.pbar is not None:\n self.pbar.update(1)\n self.pbar.close()\n self.pbar = None\n\n self.file.flush()\n return time.time() - self.time_started\n\n def run(self):\n self.pbar = tqdm.tqdm(total=self.n, file=self.file, position=0, leave=False, desc=self.title, ncols=100,\n bar_format=\'{l_bar}{bar}| [{elapsed}<{remaining}]\')\n\n for _ in range(self.n - 1): # Don\'t terminate completely; leave bar at 99% done until terminate.\n if not self._running:\n self.pbar.close()\n self.pbar = None\n break\n\n time.sleep(self.dt)\n self.pbar.update(1)\n\ndef dprint(first, last, nL, extra = "", file=None, dotsym=\'.\', color=\'white\'):\n if file == None:\n file = sys.stdout\n\n # ss = self.item_title_print\n # state = "PASS" if success else "FAILED"\n dot_parts = (dotsym * max(0, nL - len(last) - len(first)))\n # if self.show_progress_bar or True:\n print(first + dot_parts, end="", file=file)\n # else:\n # print(dot_parts, end="", file=self.cc.file)\n last += extra\n # if tsecs >= 0.5:\n # state += " (" + str(tsecs) + " seconds)"\n print(last, file=file)\n\n\nclass UTextResult(unittest.TextTestResult):\n nL = 80\n number = -1 # HAcky way to set question number.\n show_progress_bar = True\n cc = None\n\n def __init__(self, stream, descriptions, verbosity):\n super().__init__(stream, descriptions, verbosity)\n self.successes = []\n\n def printErrors(self) -> None:\n self.printErrorList(\'ERROR\', self.errors)\n self.printErrorList(\'FAIL\', self.failures)\n\n def addError(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addFailure(self, test, err):\n super(unittest.TextTestResult, self).addFailure(test, err)\n self.cc_terminate(success=False)\n\n def addSuccess(self, test: unittest.case.TestCase) -> None:\n self.successes.append(test)\n self.cc_terminate()\n\n def cc_terminate(self, success=True):\n if self.show_progress_bar or True:\n tsecs = np.round(self.cc.terminate(), 2)\n self.cc.file.flush()\n ss = self.item_title_print\n\n state = "PASS" if success else "FAILED"\n\n dot_parts = (\'.\' * max(0, self.nL - len(state) - len(ss)))\n if self.show_progress_bar or True:\n print(self.item_title_print + dot_parts, end="", file=self.cc.file)\n else:\n print(dot_parts, end="", file=self.cc.file)\n\n if tsecs >= 0.5:\n state += " (" + str(tsecs) + " seconds)"\n print(state, file=self.cc.file)\n\n def startTest(self, test):\n # j =self.testsRun\n self.testsRun += 1\n # item_title = self.getDescription(test)\n item_title = test.shortDescription() # Better for printing (get from cache).\n if item_title == None:\n # For unittest framework where getDescription may return None.\n item_title = self.getDescription(test)\n self.item_title_print = " * q%i.%i) %s" % (UTextResult.number + 1, self.testsRun, item_title)\n estimated_time = 10\n if self.show_progress_bar or True:\n self.cc = ActiveProgress(t=estimated_time, title=self.item_title_print, show_progress_bar=self.show_progress_bar, file=sys.stdout)\n else:\n print(self.item_title_print + (\'.\' * max(0, self.nL - 4 - len(self.item_title_print))), end="")\n\n self._test = test\n self._stdout = sys.stdout\n sys.stdout = io.StringIO()\n\n def stopTest(self, test):\n sys.stdout = self._stdout\n super().stopTest(test)\n\n def _setupStdout(self):\n if self._previousTestClass == None:\n total_estimated_time = 1\n if hasattr(self.__class__, \'q_title_print\'):\n q_title_print = self.__class__.q_title_print\n else:\n q_title_print = "<unnamed test. See unitgrade.py>"\n\n cc = ActiveProgress(t=total_estimated_time, title=q_title_print, show_progress_bar=self.show_progress_bar)\n self.cc = cc\n\n def _restoreStdout(self): # Used when setting up the test.\n if self._previousTestClass is None:\n q_time = self.cc.terminate()\n q_time = np.round(q_time, 2)\n sys.stdout.flush()\n if self.show_progress_bar:\n print(self.cc.title, end="")\n print(" " * max(0, self.nL - len(self.cc.title)) + (" (" + str(q_time) + " seconds)" if q_time >= 0.5 else ""))\n\n\nclass UTextTestRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n stream = io.StringIO()\n super().__init__(*args, stream=stream, **kwargs)\n\n def _makeResult(self):\n # stream = self.stream # not you!\n stream = sys.stdout\n stream = _WritelnDecorator(stream)\n return self.resultclass(stream, self.descriptions, self.verbosity)\n\n\ndef cache(foo, typed=False):\n """ Magic cache wrapper\n https://github.com/python/cpython/blob/main/Lib/functools.py\n """\n maxsize = None\n def wrapper(self, *args, **kwargs):\n key = (self.cache_id(), ("@cache", foo.__name__, _make_key(args, kwargs, typed)))\n if not self._cache_contains(key):\n value = foo(self, *args, **kwargs)\n self._cache_put(key, value)\n else:\n value = self._cache_get(key)\n return value\n\n return wrapper\n\n\ndef get_hints(ss):\n if ss == None:\n return None\n try:\n ss = textwrap.dedent(ss)\n ss = ss.replace(\'\'\'"""\'\'\', "").strip()\n hints = ["hints:", ]\n j = np.argmax([ss.lower().find(h) for h in hints])\n h = hints[j]\n ss = ss[ss.find(h) + len(h) + 1:]\n ss = "\\n".join([l for l in ss.split("\\n") if not l.strip().startswith(":")])\n ss = textwrap.dedent(ss)\n ss = ss.strip()\n return ss\n except Exception as e:\n print("bad hints", ss, e)\n\n\nclass UTestCase(unittest.TestCase):\n _outcome = None # A dictionary which stores the user-computed outcomes of all the tests. This differs from the cache.\n _cache = None # Read-only cache. Ensures method always produce same result.\n _cache2 = None # User-written cache.\n _with_coverage = False\n _report = None # The report used. This is very, very hacky and should always be None. Don\'t rely on it!\n\n def capture(self):\n if hasattr(self, \'_stdout\') and self._stdout is not None:\n file = self._stdout\n else:\n file = sys.stdout\n return Capturing2(stdout=file)\n\n @classmethod\n def question_title(cls):\n """ Return the question title """\n return cls.__doc__.strip().splitlines()[0].strip() if cls.__doc__ is not None else cls.__qualname__\n\n @classmethod\n def reset(cls):\n print("Warning, I am not sure UTestCase.reset() is needed anymore and it seems very hacky.")\n cls._outcome = None\n cls._cache = None\n cls._cache2 = None\n\n def _callSetUp(self):\n if self._with_coverage:\n if not hasattr(self._report, \'covcache\'):\n self._report.covcache = {}\n import coverage\n self.cov = coverage.Coverage()\n self.cov.start()\n self.setUp()\n\n def _callTearDown(self):\n self.tearDown()\n if self._with_coverage:\n from pathlib import Path\n from snipper import snipper\n self.cov.stop()\n data = self.cov.get_data()\n base, _, _ = self._report._import_base_relative()\n for file in data.measured_files():\n file = os.path.normpath(file)\n root = Path(base)\n child = Path(file)\n if root in child.parents:\n with open(child, \'r\') as f:\n s = f.read()\n lines = s.splitlines()\n garb = \'GARBAGE\'\n\n lines2 = snipper.censor_code(lines, keep=True)\n assert len(lines) == len(lines2)\n\n for l in data.contexts_by_lineno(file):\n if lines2[l].strip() == garb:\n if self.cache_id() not in self._report.covcache:\n self._report.covcache[self.cache_id()] = {}\n\n rel = os.path.relpath(child, root)\n cc = self._report.covcache[self.cache_id()]\n j = 0\n for j in range(l, -1, -1):\n if "def" in lines2[j] or "class" in lines2[j]:\n break\n from snipper.snipper import gcoms\n fun = lines2[j]\n comments, _ = gcoms("\\n".join(lines2[j:l]))\n if rel not in cc:\n cc[rel] = {}\n cc[rel][fun] = (l, "\\n".join(comments))\n self._cache_put((self.cache_id(), \'coverage\'), self._report.covcache)\n\n def shortDescriptionStandard(self):\n sd = super().shortDescription()\n if sd is None:\n sd = self._testMethodName\n return sd\n\n def shortDescription(self):\n sd = self.shortDescriptionStandard()\n title = self._cache_get((self.cache_id(), \'title\'), sd)\n return title if title is not None else sd\n\n @property\n def title(self):\n return self.shortDescription()\n\n @title.setter\n def title(self, value):\n self._cache_put((self.cache_id(), \'title\'), value)\n\n def _get_outcome(self):\n if not (self.__class__, \'_outcome\') or self.__class__._outcome is None:\n self.__class__._outcome = {}\n return self.__class__._outcome\n\n def _callTestMethod(self, testMethod):\n t = time.time()\n self._ensure_cache_exists() # Make sure cache is there.\n if self._testMethodDoc is not None:\n self._cache_put((self.cache_id(), \'title\'), self.shortDescriptionStandard())\n\n self._cache2[(self.cache_id(), \'assert\')] = {}\n res = testMethod()\n elapsed = time.time() - t\n self._get_outcome()[self.cache_id()] = res\n self._cache_put((self.cache_id(), "time"), elapsed)\n\n def cache_id(self):\n c = self.__class__.__qualname__\n m = self._testMethodName\n return c, m\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._load_cache()\n self._assert_cache_index = 0\n\n def _ensure_cache_exists(self):\n if not hasattr(self.__class__, \'_cache\') or self.__class__._cache == None:\n self.__class__._cache = dict()\n if not hasattr(self.__class__, \'_cache2\') or self.__class__._cache2 == None:\n self.__class__._cache2 = dict()\n\n def _cache_get(self, key, default=None):\n self._ensure_cache_exists()\n return self.__class__._cache.get(key, default)\n\n def _cache_put(self, key, value):\n self._ensure_cache_exists()\n self.__class__._cache2[key] = value\n\n def _cache_contains(self, key):\n self._ensure_cache_exists()\n return key in self.__class__._cache\n\n def wrap_assert(self, assert_fun, first, *args, **kwargs):\n # sys.stdout = self._stdout\n key = (self.cache_id(), \'assert\')\n if not self._cache_contains(key):\n print("Warning, framework missing", key)\n self.__class__._cache[\n key] = {} # A new dict. We manually insert it because we have to use that the dict is mutable.\n cache = self._cache_get(key)\n id = self._assert_cache_index\n if not id in cache:\n print("Warning, framework missing cache index", key, "id =", id)\n _expected = cache.get(id, f"Key {id} not found in cache; framework files missing. Please run deploy()")\n\n # The order of these calls is important. If the method assert fails, we should still store the correct result in cache.\n cache[id] = first\n self._cache_put(key, cache)\n self._assert_cache_index += 1\n assert_fun(first, _expected, *args, **kwargs)\n\n def assertEqualC(self, first: Any, msg: Any = ...) -> None:\n self.wrap_assert(self.assertEqual, first, msg)\n\n def _cache_file(self):\n return os.path.dirname(inspect.getfile(self.__class__)) + "/unitgrade/" + self.__class__.__name__ + ".pkl"\n\n def _save_cache(self):\n # get the class name (i.e. what to save to).\n cfile = self._cache_file()\n if not os.path.isdir(os.path.dirname(cfile)):\n os.makedirs(os.path.dirname(cfile))\n\n if hasattr(self.__class__, \'_cache2\'):\n with open(cfile, \'wb\') as f:\n pickle.dump(self.__class__._cache2, f)\n\n # But you can also set cache explicitly.\n def _load_cache(self):\n if self._cache is not None: # Cache already loaded. We will not load it twice.\n return\n # raise Exception("Loaded cache which was already set. What is going on?!")\n cfile = self._cache_file()\n if os.path.exists(cfile):\n try:\n with open(cfile, \'rb\') as f:\n data = pickle.load(f)\n self.__class__._cache = data\n except Exception as e:\n print("Bad cache", cfile)\n print(e)\n else:\n print("Warning! data file not found", cfile)\n\n def _feedErrorsToResult(self, result, errors):\n """ Use this to show hints on test failure. """\n if not isinstance(result, UTextResult):\n er = [e for e, v in errors if v != None]\n\n if len(er) > 0:\n hints = []\n key = (self.cache_id(), \'coverage\')\n if self._cache_contains(key):\n CC = self._cache_get(key)\n for id in CC:\n if id == self.cache_id():\n cl, m = id\n gprint(f"> An error occured while solving: {cl}.{m}. The files/methods you need to edit are:") # For the test {id} in {file} you should edit:")\n for file in CC[id]:\n rec = CC[id][file]\n gprint(f"> * {file}")\n for l in rec:\n _, comments = CC[id][file][l]\n hint = get_hints(comments)\n\n if hint != None:\n hints.append(hint)\n gprint(f"> - {l}")\n\n er = er[0]\n doc = er._testMethodDoc\n if doc is not None:\n hint = get_hints(er._testMethodDoc)\n if hint is not None:\n hints = [hint] + hints\n if len(hints) > 0:\n gprint("> Hints:")\n gprint(textwrap.indent("\\n".join(hints), "> "))\n\n super()._feedErrorsToResult(result, errors)\n\n def startTestRun(self):\n # print("asdfsdaf 11", file=sys.stderr)\n super().startTestRun()\n # print("asdfsdaf")\n\n def _callTestMethod(self, method):\n # print("asdfsdaf")\n super()._callTestMethod(method)\n\n\ndef hide(func):\n return func\n\n\ndef makeRegisteringDecorator(foreignDecorator):\n """\n Returns a copy of foreignDecorator, which is identical in every\n way(*), except also appends a .decorator property to the callable it\n spits out.\n """\n\n def newDecorator(func):\n # Call to newDecorator(method)\n # Exactly like old decorator, but output keeps track of what decorated it\n R = foreignDecorator(func) # apply foreignDecorator, like call to foreignDecorator(method) would have done\n R.decorator = newDecorator # keep track of decorator\n # R.original = func # might as well keep track of everything!\n return R\n\n newDecorator.__name__ = foreignDecorator.__name__\n newDecorator.__doc__ = foreignDecorator.__doc__\n return newDecorator\n\nhide = makeRegisteringDecorator(hide)\n\ndef methodsWithDecorator(cls, decorator):\n """\n Returns all methods in CLS with DECORATOR as the\n outermost decorator.\n\n DECORATOR must be a "registering decorator"; one\n can make any decorator "registering" via the\n makeRegisteringDecorator function.\n\n import inspect\n ls = list(methodsWithDecorator(GeneratorQuestion, deco))\n for f in ls:\n print(inspect.getsourcelines(f) ) # How to get all hidden questions.\n """\n for maybeDecorated in cls.__dict__.values():\n if hasattr(maybeDecorated, \'decorator\'):\n if maybeDecorated.decorator == decorator:\n print(maybeDecorated)\n yield maybeDecorated\n# 817\n\n\nimport numpy as np\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport pyfiglet\nimport unittest\nimport inspect\nimport os\nimport argparse\nimport time\n\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Example: \nTo run all tests in a report: \n\n> python assignment1_dp.py\n\nTo run only question 2 or question 2.1\n\n> python assignment1_dp.py -q 2\n> python assignment1_dp.py -q 2.1\n\nNote this scripts does not grade your report. To grade your report, use:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'-q\', nargs=\'?\', type=str, default=None, help=\'Only evaluate this question (e.g.: -q 2)\')\nparser.add_argument(\'--showexpected\', action="store_true", help=\'Show the expected/desired result\')\nparser.add_argument(\'--showcomputed\', action="store_true", help=\'Show the answer your code computes\')\nparser.add_argument(\'--unmute\', action="store_true", help=\'Show result of print(...) commands in code\')\nparser.add_argument(\'--passall\', action="store_true", help=\'Automatically pass all tests. Useful when debugging.\')\n\ndef evaluate_report_student(report, question=None, qitem=None, unmute=None, passall=None, ignore_missing_file=False, show_tol_err=False):\n args = parser.parse_args()\n if question is None and args.q is not None:\n question = args.q\n if "." in question:\n question, qitem = [int(v) for v in question.split(".")]\n else:\n question = int(question)\n\n if hasattr(report, "computed_answer_file") and not os.path.isfile(report.computed_answers_file) and not ignore_missing_file:\n raise Exception("> Error: The pre-computed answer file", os.path.abspath(report.computed_answers_file), "does not exist. Check your package installation")\n\n if unmute is None:\n unmute = args.unmute\n if passall is None:\n passall = args.passall\n\n results, table_data = evaluate_report(report, question=question, show_progress_bar=not unmute, qitem=qitem, verbose=False, passall=passall, show_expected=args.showexpected, show_computed=args.showcomputed,unmute=unmute,\n show_tol_err=show_tol_err)\n\n\n if question is None:\n print("Provisional evaluation")\n tabulate(table_data)\n table = table_data\n print(tabulate(table))\n print(" ")\n\n fr = inspect.getouterframes(inspect.currentframe())[1].filename\n gfile = os.path.basename(fr)[:-3] + "_grade.py"\n if os.path.exists(gfile):\n print("Note your results have not yet been registered. \\nTo register your results, please run the file:")\n print(">>>", gfile)\n print("In the same manner as you ran this file.")\n\n\n return results\n\n\ndef upack(q):\n # h = zip([(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()])\n h =[(i[\'w\'], i[\'possible\'], i[\'obtained\']) for i in q.values()]\n h = np.asarray(h)\n return h[:,0], h[:,1], h[:,2],\n\nclass UnitgradeTextRunner(unittest.TextTestRunner):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n\nclass SequentialTestLoader(unittest.TestLoader):\n def getTestCaseNames(self, testCaseClass):\n test_names = super().getTestCaseNames(testCaseClass)\n # testcase_methods = list(testCaseClass.__dict__.keys())\n ls = []\n for C in testCaseClass.mro():\n if issubclass(C, unittest.TestCase):\n ls = list(C.__dict__.keys()) + ls\n testcase_methods = ls\n test_names.sort(key=testcase_methods.index)\n return test_names\n\ndef evaluate_report(report, question=None, qitem=None, passall=False, verbose=False, show_expected=False, show_computed=False,unmute=False, show_help_flag=True, silent=False,\n show_progress_bar=True,\n show_tol_err=False,\n big_header=True):\n\n now = datetime.now()\n if big_header:\n ascii_banner = pyfiglet.figlet_format("UnitGrade", font="doom")\n b = "\\n".join( [l for l in ascii_banner.splitlines() if len(l.strip()) > 0] )\n else:\n b = "Unitgrade"\n dt_string = now.strftime("%d/%m/%Y %H:%M:%S")\n print(b + " v" + __version__ + ", started: " + dt_string+ "\\n")\n # print("Started: " + dt_string)\n s = report.title\n if hasattr(report, "version") and report.version is not None:\n s += " version " + report.version\n print(s, "(use --help for options)" if show_help_flag else "")\n # print(f"Loaded answers from: ", report.computed_answers_file, "\\n")\n table_data = []\n t_start = time.time()\n score = {}\n loader = SequentialTestLoader()\n\n for n, (q, w) in enumerate(report.questions):\n if question is not None and n+1 != question:\n continue\n suite = loader.loadTestsFromTestCase(q)\n qtitle = q.question_title() if hasattr(q, \'question_title\') else q.__qualname__\n q_title_print = "Question %i: %s"%(n+1, qtitle)\n print(q_title_print, end="")\n q.possible = 0\n q.obtained = 0\n q_ = {} # Gather score in this class.\n UTextResult.q_title_print = q_title_print # Hacky\n UTextResult.show_progress_bar = show_progress_bar # Hacky.\n UTextResult.number = n\n UTextResult.nL = report.nL\n\n res = UTextTestRunner(verbosity=2, resultclass=UTextResult).run(suite)\n\n possible = res.testsRun\n obtained = len(res.successes)\n\n assert len(res.successes) + len(res.errors) + len(res.failures) == res.testsRun\n\n obtained = int(w * obtained * 1.0 / possible ) if possible > 0 else 0\n score[n] = {\'w\': w, \'possible\': w, \'obtained\': obtained, \'items\': q_, \'title\': qtitle}\n q.obtained = obtained\n q.possible = possible\n\n s1 = f"Question {n+1} total"\n s2 = f" {q.obtained}/{w}"\n print(s1 + ("."* (report.nL-len(s1)-len(s2) )) + s2 )\n print(" ")\n table_data.append([f"q{n+1}) Total", f"{q.obtained}/{w}"])\n\n ws, possible, obtained = upack(score)\n possible = int( msum(possible) )\n obtained = int( msum(obtained) ) # Cast to python int\n report.possible = possible\n report.obtained = obtained\n now = datetime.now()\n dt_string = now.strftime("%H:%M:%S")\n\n dt = int(time.time()-t_start)\n minutes = dt//60\n seconds = dt - minutes*60\n plrl = lambda i, s: str(i) + " " + s + ("s" if i != 1 else "")\n\n dprint(first = "Total points at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +")",\n last=""+str(report.obtained)+"/"+str(report.possible), nL = report.nL)\n\n # print(f"Completed at "+ dt_string + " (" + plrl(minutes, "minute") + ", "+ plrl(seconds, "second") +"). Total")\n\n table_data.append(["Total", ""+str(report.obtained)+"/"+str(report.possible) ])\n results = {\'total\': (obtained, possible), \'details\': score}\n return results, table_data\n\n\nfrom tabulate import tabulate\nfrom datetime import datetime\nimport inspect\nimport json\nimport os\nimport bz2\nimport pickle\nimport os\n\ndef bzwrite(json_str, token): # to get around obfuscation issues\n with getattr(bz2, \'open\')(token, "wt") as f:\n f.write(json_str)\n\ndef gather_imports(imp):\n resources = {}\n m = imp\n # for m in pack_imports:\n # print(f"*** {m.__name__}")\n f = m.__file__\n # dn = os.path.dirname(f)\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = str(__import__(m.__name__.split(\'.\')[0]).__path__)\n\n if hasattr(m, \'__file__\') and not hasattr(m, \'__path__\'): # Importing a simple file: m.__class__.__name__ == \'module\' and False:\n top_package = os.path.dirname(m.__file__)\n module_import = True\n else:\n top_package = __import__(m.__name__.split(\'.\')[0]).__path__._path[0]\n module_import = False\n\n # top_package = os.path.dirname(__import__(m.__name__.split(\'.\')[0]).__file__)\n # top_package = os.path.dirname(top_package)\n import zipfile\n # import strea\n # zipfile.ZipFile\n import io\n # file_like_object = io.BytesIO(my_zip_data)\n zip_buffer = io.BytesIO()\n with zipfile.ZipFile(zip_buffer, \'w\') as zip:\n # zip.write()\n for root, dirs, files in os.walk(top_package):\n for file in files:\n if file.endswith(".py"):\n fpath = os.path.join(root, file)\n v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)\n zip.write(fpath, v)\n\n resources[\'zipfile\'] = zip_buffer.getvalue()\n resources[\'top_package\'] = top_package\n resources[\'module_import\'] = module_import\n return resources, top_package\n\n if f.endswith("__init__.py"):\n for root, dirs, files in os.walk(os.path.dirname(f)):\n for file in files:\n if file.endswith(".py"):\n # print(file)\n # print()\n v = os.path.relpath(os.path.join(root, file), top_package)\n with open(os.path.join(root, file), \'r\') as ff:\n resources[v] = ff.read()\n else:\n v = os.path.relpath(f, top_package)\n with open(f, \'r\') as ff:\n resources[v] = ff.read()\n return resources\n\nimport argparse\nparser = argparse.ArgumentParser(description=\'Evaluate your report.\', epilog="""Use this script to get the score of your report. Example:\n\n> python report1_grade.py\n\nFinally, note that if your report is part of a module (package), and the report script requires part of that package, the -m option for python may be useful.\nFor instance, if the report file is in Documents/course_package/report3_complete.py, and `course_package` is a python package, then change directory to \'Documents/` and run:\n\n> python -m course_package.report1\n\nsee https://docs.python.org/3.9/using/cmdline.html\n""", formatter_class=argparse.RawTextHelpFormatter)\nparser.add_argument(\'--noprogress\', action="store_true", help=\'Disable progress bars\')\nparser.add_argument(\'--autolab\', action="store_true", help=\'Show Autolab results\')\n\ndef gather_upload_to_campusnet(report, output_dir=None):\n n = report.nL\n args = parser.parse_args()\n results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,\n show_progress_bar=not args.noprogress,\n big_header=not args.autolab)\n # print(" ")\n # print("="*n)\n # print("Final evaluation")\n # print(tabulate(table_data))\n # also load the source code of missing files...\n\n sources = {}\n print("")\n if not args.autolab:\n if len(report.individual_imports) > 0:\n print("By uploading the .token file, you verify the files:")\n for m in report.individual_imports:\n print(">", m.__file__)\n print("Are created/modified individually by you in agreement with DTUs exam rules")\n report.pack_imports += report.individual_imports\n\n if len(report.pack_imports) > 0:\n print("Including files in upload...")\n for k, m in enumerate(report.pack_imports):\n nimp, top_package = gather_imports(m)\n _, report_relative_location, module_import = report._import_base_relative()\n\n # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)\n nimp[\'report_relative_location\'] = report_relative_location\n nimp[\'report_module_specification\'] = module_import\n nimp[\'name\'] = m.__name__\n sources[k] = nimp\n # if len([k for k in nimp if k not in sources]) > 0:\n print(f" * {m.__name__}")\n # sources = {**sources, **nimp}\n results[\'sources\'] = sources\n\n if output_dir is None:\n output_dir = os.getcwd()\n\n payload_out_base = report.__class__.__name__ + "_handin"\n\n obtain, possible = results[\'total\']\n vstring = "_v"+report.version if report.version is not None else ""\n\n token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)\n token = os.path.join(output_dir, token)\n with open(token, \'wb\') as f:\n pickle.dump(results, f)\n\n if not args.autolab:\n print(" ")\n print("To get credit for your results, please upload the single unmodified file: ")\n print(">", token)\n # print("To campusnet without any modifications.")\n\n # print("Now time for some autolab fun")\n\ndef source_instantiate(name, report1_source, payload):\n eval("exec")(report1_source, globals())\n pl = pickle.loads(bytes.fromhex(payload))\n report = eval(name)(payload=pl, strict=True)\n # report.set_payload(pl)\n return report\n\n\n__version__ = "0.9.0"\n\nfrom cs101.homework1 import reverse_list, add\nimport unittest\n\nclass Week1(unittest.TestCase):\n def test_add(self):\n self.assertEqual(add(2,2), 4)\n self.assertEqual(add(-100, 5), -95)\n\n def test_reverse(self):\n self.assertEqual(reverse_list([1,2,3]), [3,2,1])\n\n\nimport cs101\nclass Report1(Report):\n title = "CS 101 Report 1"\n questions = [(Week1, 10)] # Include a single question for 10 credits.\n pack_imports = [cs101]'
report1_payload = '8004953f000000000000007d948c055765656b31947d948c2c6e6f20636163686520736565205f73657475705f616e737765727320696e20756e69746772616465322e7079948873732e'
name="Report1"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..b5a3c46
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,6 @@
+[build-system]
+requires = [
+ "setuptools>=42",
+ "wheel"
+]
+build-backend = "setuptools.build_meta"
\ No newline at end of file
diff --git a/pytransform/__init__.py b/pytransform/__init__.py
deleted file mode 100644
index f656a22..0000000
--- a/pytransform/__init__.py
+++ /dev/null
@@ -1,454 +0,0 @@
-# These module alos are used by protection code, so that protection
-# code needn't import anything
-import os
-import platform
-import sys
-import struct
-
-# Because ctypes is new from Python 2.5, so pytransform doesn't work
-# before Python 2.5
-#
-from ctypes import cdll, c_char, c_char_p, c_int, c_void_p, \
- pythonapi, py_object, PYFUNCTYPE, CFUNCTYPE
-from fnmatch import fnmatch
-
-#
-# Support Platforms
-#
-plat_path = 'platforms'
-
-plat_table = (
- ('windows', ('windows', 'cygwin-*')),
- ('darwin', ('darwin', 'ios')),
- ('linux', ('linux*',)),
- ('freebsd', ('freebsd*', 'openbsd*')),
- ('poky', ('poky',)),
-)
-
-arch_table = (
- ('x86', ('i?86', )),
- ('x86_64', ('x64', 'x86_64', 'amd64', 'intel')),
- ('arm', ('armv5',)),
- ('armv6', ('armv6l',)),
- ('armv7', ('armv7l',)),
- ('ppc64', ('ppc64le',)),
- ('mips32', ('mips',)),
- ('aarch32', ('aarch32',)),
- ('aarch64', ('aarch64', 'arm64'))
-)
-
-#
-# Hardware type
-#
-HT_HARDDISK, HT_IFMAC, HT_IPV4, HT_IPV6, HT_DOMAIN = range(5)
-
-#
-# Global
-#
-_pytransform = None
-
-
-class PytransformError(Exception):
- pass
-
-
-def dllmethod(func):
- def wrap(*args, **kwargs):
- return func(*args, **kwargs)
- return wrap
-
-
-@dllmethod
-def version_info():
- prototype = PYFUNCTYPE(py_object)
- dlfunc = prototype(('version_info', _pytransform))
- return dlfunc()
-
-
-@dllmethod
-def init_pytransform():
- major, minor = sys.version_info[0:2]
- # Python2.5 no sys.maxsize but sys.maxint
- # bitness = 64 if sys.maxsize > 2**32 else 32
- prototype = PYFUNCTYPE(c_int, c_int, c_int, c_void_p)
- init_module = prototype(('init_module', _pytransform))
- ret = init_module(major, minor, pythonapi._handle)
- if (ret & 0xF000) == 0x1000:
- raise PytransformError('Initialize python wrapper failed (%d)'
- % (ret & 0xFFF))
- return ret
-
-
-@dllmethod
-def init_runtime():
- prototype = PYFUNCTYPE(c_int, c_int, c_int, c_int, c_int)
- _init_runtime = prototype(('init_runtime', _pytransform))
- return _init_runtime(0, 0, 0, 0)
-
-
-@dllmethod
-def encrypt_code_object(pubkey, co, flags, suffix=''):
- _pytransform.set_option(6, suffix.encode())
- prototype = PYFUNCTYPE(py_object, py_object, py_object, c_int)
- dlfunc = prototype(('encrypt_code_object', _pytransform))
- return dlfunc(pubkey, co, flags)
-
-
-@dllmethod
-def generate_license_file(filename, priname, rcode, start=-1, count=1):
- prototype = PYFUNCTYPE(c_int, c_char_p, c_char_p, c_char_p, c_int, c_int)
- dlfunc = prototype(('generate_project_license_files', _pytransform))
- return dlfunc(filename.encode(), priname.encode(), rcode.encode(),
- start, count) if sys.version_info[0] == 3 \
- else dlfunc(filename, priname, rcode, start, count)
-
-
-@dllmethod
-def generate_license_key(prikey, keysize, rcode):
- prototype = PYFUNCTYPE(py_object, c_char_p, c_int, c_char_p)
- dlfunc = prototype(('generate_license_key', _pytransform))
- return dlfunc(prikey, keysize, rcode) if sys.version_info[0] == 2 \
- else dlfunc(prikey, keysize, rcode.encode())
-
-
-@dllmethod
-def get_registration_code():
- prototype = PYFUNCTYPE(py_object)
- dlfunc = prototype(('get_registration_code', _pytransform))
- return dlfunc()
-
-
-@dllmethod
-def get_expired_days():
- prototype = PYFUNCTYPE(py_object)
- dlfunc = prototype(('get_expired_days', _pytransform))
- return dlfunc()
-
-
-@dllmethod
-def clean_obj(obj, kind):
- prototype = PYFUNCTYPE(c_int, py_object, c_int)
- dlfunc = prototype(('clean_obj', _pytransform))
- return dlfunc(obj, kind)
-
-
-def clean_str(*args):
- tdict = {
- 'str': 0,
- 'bytearray': 1,
- 'unicode': 2
- }
- for obj in args:
- k = tdict.get(type(obj).__name__)
- if k is None:
- raise RuntimeError('Can not clean object: %s' % obj)
- clean_obj(obj, k)
-
-
-def get_hd_info(hdtype, name=None):
- if hdtype not in range(HT_DOMAIN + 1):
- raise RuntimeError('Invalid parameter hdtype: %s' % hdtype)
- size = 256
- t_buf = c_char * size
- buf = t_buf()
- cname = c_char_p(0 if name is None
- else name.encode('utf-8') if hasattr('name', 'encode')
- else name)
- if (_pytransform.get_hd_info(hdtype, buf, size, cname) == -1):
- raise PytransformError('Get hardware information failed')
- return buf.value.decode()
-
-
-def show_hd_info():
- return _pytransform.show_hd_info()
-
-
-def assert_armored(*names):
- prototype = PYFUNCTYPE(py_object, py_object)
- dlfunc = prototype(('assert_armored', _pytransform))
-
- def wrapper(func):
- def wrap_execute(*args, **kwargs):
- dlfunc(names)
- return func(*args, **kwargs)
- return wrap_execute
- return wrapper
-
-
-def get_license_info():
- info = {
- 'ISSUER': None,
- 'EXPIRED': None,
- 'HARDDISK': None,
- 'IFMAC': None,
- 'IFIPV4': None,
- 'DOMAIN': None,
- 'DATA': None,
- 'CODE': None,
- }
- rcode = get_registration_code().decode()
- if rcode.startswith('*VERSION:'):
- index = rcode.find('\n')
- info['ISSUER'] = rcode[9:index].split('.')[0].replace('-sn-1.txt', '')
- rcode = rcode[index+1:]
-
- index = 0
- if rcode.startswith('*TIME:'):
- from time import ctime
- index = rcode.find('\n')
- info['EXPIRED'] = ctime(float(rcode[6:index]))
- index += 1
-
- if rcode[index:].startswith('*FLAGS:'):
- index += len('*FLAGS:') + 1
- info['FLAGS'] = ord(rcode[index - 1])
-
- prev = None
- start = index
- for k in ['HARDDISK', 'IFMAC', 'IFIPV4', 'DOMAIN', 'FIXKEY', 'CODE']:
- index = rcode.find('*%s:' % k)
- if index > -1:
- if prev is not None:
- info[prev] = rcode[start:index]
- prev = k
- start = index + len(k) + 2
- info['CODE'] = rcode[start:]
- i = info['CODE'].find(';')
- if i > 0:
- info['DATA'] = info['CODE'][i+1:]
- info['CODE'] = info['CODE'][:i]
- return info
-
-
-def get_license_code():
- return get_license_info()['CODE']
-
-
-def get_user_data():
- return get_license_info()['DATA']
-
-
-def _match_features(patterns, s):
- for pat in patterns:
- if fnmatch(s, pat):
- return True
-
-
-def _gnu_get_libc_version():
- try:
- prototype = CFUNCTYPE(c_char_p)
- ver = prototype(('gnu_get_libc_version', cdll.LoadLibrary('')))()
- return ver.decode().split('.')
- except Exception:
- pass
-
-
-def format_platform(platid=None):
- if platid:
- return os.path.normpath(platid)
-
- plat = platform.system().lower()
- mach = platform.machine().lower()
-
- for alias, platlist in plat_table:
- if _match_features(platlist, plat):
- plat = alias
- break
-
- if plat == 'linux':
- cname, cver = platform.libc_ver()
- if cname == 'musl':
- plat = 'musl'
- elif cname == 'libc':
- plat = 'android'
- elif cname == 'glibc':
- v = _gnu_get_libc_version()
- if v and len(v) >= 2 and (int(v[0]) * 100 + int(v[1])) < 214:
- plat = 'centos6'
-
- for alias, archlist in arch_table:
- if _match_features(archlist, mach):
- mach = alias
- break
-
- if plat == 'windows' and mach == 'x86_64':
- bitness = struct.calcsize('P'.encode()) * 8
- if bitness == 32:
- mach = 'x86'
-
- return os.path.join(plat, mach)
-
-
-# Load _pytransform library
-def _load_library(path=None, is_runtime=0, platid=None, suffix='', advanced=0):
- path = os.path.dirname(__file__) if path is None \
- else os.path.normpath(path)
-
- plat = platform.system().lower()
- name = '_pytransform' + suffix
- if plat == 'linux':
- filename = os.path.abspath(os.path.join(path, name + '.so'))
- elif plat == 'darwin':
- filename = os.path.join(path, name + '.dylib')
- elif plat == 'windows':
- filename = os.path.join(path, name + '.dll')
- elif plat == 'freebsd':
- filename = os.path.join(path, name + '.so')
- else:
- raise PytransformError('Platform %s not supported' % plat)
-
- if platid is not None and os.path.isfile(platid):
- filename = platid
- elif platid is not None or not os.path.exists(filename) or not is_runtime:
- libpath = platid if platid is not None and os.path.isabs(platid) else \
- os.path.join(path, plat_path, format_platform(platid))
- filename = os.path.join(libpath, os.path.basename(filename))
-
- if not os.path.exists(filename):
- raise PytransformError('Could not find "%s"' % filename)
-
- try:
- m = cdll.LoadLibrary(filename)
- except Exception as e:
- if sys.flags.debug:
- print('Load %s failed:\n%s' % (filename, e))
- raise
-
- # Removed from v4.6.1
- # if plat == 'linux':
- # m.set_option(-1, find_library('c').encode())
-
- if not os.path.abspath('.') == os.path.abspath(path):
- m.set_option(1, path.encode() if sys.version_info[0] == 3 else path)
-
- # Required from Python3.6
- m.set_option(2, sys.byteorder.encode())
-
- if sys.flags.debug:
- m.set_option(3, c_char_p(1))
- m.set_option(4, c_char_p(not is_runtime))
-
- # Disable advanced mode by default
- m.set_option(5, c_char_p(not advanced))
-
- # Set suffix for private package
- if suffix:
- m.set_option(6, suffix.encode())
-
- return m
-
-
-def pyarmor_init(path=None, is_runtime=0, platid=None, suffix='', advanced=0):
- global _pytransform
- _pytransform = _load_library(path, is_runtime, platid, suffix, advanced)
- return init_pytransform()
-
-
-def pyarmor_runtime(path=None, suffix='', advanced=0):
- if _pytransform is not None:
- return
-
- try:
- pyarmor_init(path, is_runtime=1, suffix=suffix, advanced=advanced)
- init_runtime()
- except Exception as e:
- if sys.flags.debug or hasattr(sys, '_catch_pyarmor'):
- raise
- sys.stderr.write("%s\n" % str(e))
- sys.exit(1)
-
-
-# ----------------------------------------------------------
-# End of pytransform
-# ----------------------------------------------------------
-
-#
-# Not available from v5.6
-#
-
-
-def generate_capsule(licfile):
- prikey, pubkey, prolic = _generate_project_capsule()
- capkey, newkey = _generate_pytransform_key(licfile, pubkey)
- return prikey, pubkey, capkey, newkey, prolic
-
-
-@dllmethod
-def _generate_project_capsule():
- prototype = PYFUNCTYPE(py_object)
- dlfunc = prototype(('generate_project_capsule', _pytransform))
- return dlfunc()
-
-
-@dllmethod
-def _generate_pytransform_key(licfile, pubkey):
- prototype = PYFUNCTYPE(py_object, c_char_p, py_object)
- dlfunc = prototype(('generate_pytransform_key', _pytransform))
- return dlfunc(licfile.encode() if sys.version_info[0] == 3 else licfile,
- pubkey)
-
-
-#
-# Deprecated functions from v5.1
-#
-@dllmethod
-def encrypt_project_files(proname, filelist, mode=0):
- prototype = PYFUNCTYPE(c_int, c_char_p, py_object, c_int)
- dlfunc = prototype(('encrypt_project_files', _pytransform))
- return dlfunc(proname.encode(), filelist, mode)
-
-
-def generate_project_capsule(licfile):
- prikey, pubkey, prolic = _generate_project_capsule()
- capkey = _encode_capsule_key_file(licfile)
- return prikey, pubkey, capkey, prolic
-
-
-@dllmethod
-def _encode_capsule_key_file(licfile):
- prototype = PYFUNCTYPE(py_object, c_char_p, c_char_p)
- dlfunc = prototype(('encode_capsule_key_file', _pytransform))
- return dlfunc(licfile.encode(), None)
-
-
-@dllmethod
-def encrypt_files(key, filelist, mode=0):
- t_key = c_char * 32
- prototype = PYFUNCTYPE(c_int, t_key, py_object, c_int)
- dlfunc = prototype(('encrypt_files', _pytransform))
- return dlfunc(t_key(*key), filelist, mode)
-
-
-@dllmethod
-def generate_module_key(pubname, key):
- t_key = c_char * 32
- prototype = PYFUNCTYPE(py_object, c_char_p, t_key, c_char_p)
- dlfunc = prototype(('generate_module_key', _pytransform))
- return dlfunc(pubname.encode(), t_key(*key), None)
-
-#
-# Compatible for PyArmor v3.0
-#
-@dllmethod
-def old_init_runtime(systrace=0, sysprofile=1, threadtrace=0, threadprofile=1):
- '''Only for old version, before PyArmor 3'''
- pyarmor_init(is_runtime=1)
- prototype = PYFUNCTYPE(c_int, c_int, c_int, c_int, c_int)
- _init_runtime = prototype(('init_runtime', _pytransform))
- return _init_runtime(systrace, sysprofile, threadtrace, threadprofile)
-
-
-@dllmethod
-def import_module(modname, filename):
- '''Only for old version, before PyArmor 3'''
- prototype = PYFUNCTYPE(py_object, c_char_p, c_char_p)
- _import_module = prototype(('import_module', _pytransform))
- return _import_module(modname.encode(), filename.encode())
-
-
-@dllmethod
-def exec_file(filename):
- '''Only for old version, before PyArmor 3'''
- prototype = PYFUNCTYPE(c_int, c_char_p)
- _exec_file = prototype(('exec_file', _pytransform))
- return _exec_file(filename.encode())
diff --git a/pytransform/__pycache__/__init__.cpython-36.pyc b/pytransform/__pycache__/__init__.cpython-36.pyc
deleted file mode 100644
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diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..f19f26e
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,49 @@
+# Use this guide:
+# https://packaging.python.org/tutorials/packaging-projects/
+
+# from unitgrade2.version import __version__
+import setuptools
+with open("src/unitgrade_private2/version.py", "r", encoding="utf-8") as fh:
+ __version__ = fh.read().strip().split(" = ")[1].strip()[1:-1]
+# long_description = fh.read()
+
+with open("README.md", "r", encoding="utf-8") as fh:
+ long_description = fh.read()
+
+setuptools.setup(
+ name="unitgrade-devel",
+ version=__version__,
+ author="Tue Herlau",
+ author_email="tuhe@dtu.dk",
+ description="A set of tools to develop unitgrade reports and evaluate them",
+ long_description=long_description,
+ long_description_content_type="text/markdown",
+ license="MIT",
+ url='https://lab.compute.dtu.dk/tuhe/unitgrade_private',
+ project_urls={
+ "Bug Tracker": "https://lab.compute.dtu.dk/tuhe/unitgrade_private/issues",
+ },
+ classifiers=[
+ "Programming Language :: Python :: 3",
+ "License :: OSI Approved :: MIT License",
+ "Operating System :: OS Independent",
+ ],
+ package_dir={"": "src"},
+ packages=setuptools.find_packages(where="src"),
+ python_requires=">=3.8",
+ install_requires=['numpy', "unitgrade", "codesnipper", 'tabulate', 'tqdm', "pyfiglet", "colorama", "coverage", "compress_pickle"],
+)
+
+# setup(
+# name='unitgrade',
+# version=__version__,
+# packages=['unitgrade2'],
+# url=,
+# license='MIT',
+# author='Tue Herlau',
+# author_email='tuhe@dtu.dk',
+# description="""
+# A student homework/exam evaluation framework build on pythons unittest framework. This package contains all files required to run unitgrade tests as a student. To develop tests, please use unitgrade_private.
+# """,
+# include_package_data=False,
+# )
diff --git a/src/unitgrade_devel.egg-info/PKG-INFO b/src/unitgrade_devel.egg-info/PKG-INFO
new file mode 100644
index 0000000..ab8dded
--- /dev/null
+++ b/src/unitgrade_devel.egg-info/PKG-INFO
@@ -0,0 +1,317 @@
+Metadata-Version: 2.1
+Name: unitgrade-devel
+Version: 0.0.1
+Summary: A set of tools to develop unitgrade reports and evaluate them
+Home-page: https://lab.compute.dtu.dk/tuhe/unitgrade_private
+Author: Tue Herlau
+Author-email: tuhe@dtu.dk
+License: MIT
+Project-URL: Bug Tracker, https://lab.compute.dtu.dk/tuhe/unitgrade_private/issues
+Platform: UNKNOWN
+Classifier: Programming Language :: Python :: 3
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: OS Independent
+Requires-Python: >=3.8
+Description-Content-Type: text/markdown
+License-File: LICENSE
+
+# Unitgrade-private
+Unitgrade is an automatic report and exam evaluation framework that enables instructors to offer automatically evaluated programming assignments.
+ Unitgrade is build on pythons `unittest` framework so that the tests can be specified in a familiar syntax and will integrate with any modern IDE. What it offers beyond `unittest` is the ability to collect tests in reports (for automatic evaluation) and an easy and 100% safe mechanism for verifying the students results and creating additional, hidden tests. A powerful cache system allows instructors to automatically create test-answers based on a working solution.
+
+ - 100% Python `unittest` compatible
+ - No external configuration files: Just write a `unittest`
+ - No unnatural limitations: Use any package or framework. If you can `unittest` it, it works.
+ - Granular security model:
+ - Students get public `unittests` for easy development of solutions
+ - Students get a tamper-resistant file to create submissions which are uploaded
+ - Instructors can automatically verify the students solution using a Docker VM and run hidden tests
+ - Tests are quick to run and will integrate with your IDE
+
+**Note: This is the development version of unitgrade. If you are a student, please see http://gitlab.compute.dtu.dk/tuhe/unitgrade.**
+
+# Using unitgrade
+The examples can be found in the `/examples/` directory: https://gitlab.compute.dtu.dk/tuhe/unitgrade_private/examples
+
+## A simple example
+Unitgrade makes the following assumptions:
+ - Your code is in python
+ - Whatever you want to do can be specified as a `unittest`
+
+Although not required, it is recommended you maintain two version of the code:
+ - A fully-working version (i.e. all tests pass)
+ - A public version distributed to students (some code removed))
+
+In this example, I will use `snipper` (see http://gitlab.compute.dtu.dk/tuhe/snipper) to synchronize the two versions automatically.
+Let's look at an example. You need three files
+```
+instructor/cs101/homework.py # This contains the students homework
+instructor/cs101/report1.py # This contains the tests
+instructor/cs101/deploy.py # A private file to deploy the tests
+```
+
+### The homework
+The homework is just any old python code you would give to the students. For instance:
+```python
+def reverse_list(mylist): #!f
+ """
+ Given a list 'mylist' returns a list consisting of the same elements in reverse order. E.g.
+ reverse_list([1,2,3]) should return [3,2,1] (as a list).
+ """
+ return list(reversed(mylist))
+
+def add(a,b): #!f
+ """ Given two numbers `a` and `b` this function should simply return their sum:
+ > add(a,b) = a+b """
+ return a+b
+
+if __name__ == "__main__":
+ # Problem 1: Write a function which add two numbers
+ print(f"Your result of 2 + 2 = {add(2,2)}")
+ print(f"Reversing a small list", reverse_list([2,3,5,7]))
+```
+### The test:
+The test consists of individual problems and a report-class. The tests themselves are just regular Unittest (we will see a slightly smarter idea in a moment). For instance:
+
+```python
+from looping import reverse_list, add
+import unittest
+
+
+class Week1(unittest.TestCase):
+ def test_add(self):
+ self.assertEqual(add(2, 2), 4)
+ self.assertEqual(add(-100, 5), -95)
+
+ def test_reverse(self):
+ self.assertEqual(reverse_list([1, 2, 3]), [3, 2, 1])
+
+```
+A number of tests can be collected into a `Report`, which will allow us to assign points to the tests and use the more advanced features of the framework later. A complete, minimal example:
+
+```python
+from src.unitgrade2.unitgrade2 import Report
+from src.unitgrade2 import evaluate_report_student
+from looping import reverse_list, add
+import unittest
+
+
+class Week1(unittest.TestCase):
+ def test_add(self):
+ self.assertEqual(add(2, 2), 4)
+ self.assertEqual(add(-100, 5), -95)
+
+ def test_reverse(self):
+ self.assertEqual(reverse_list([1, 2, 3]), [3, 2, 1])
+
+
+import cs101
+
+
+class Report1(Report):
+ title = "CS 101 Report 1"
+ questions = [(Week1, 10)] # Include a single question for 10 credits.
+ pack_imports = [cs101]
+
+
+if __name__ == "__main__":
+ # Uncomment to simply run everything as a unittest:
+ # unittest.main(verbosity=2)
+ evaluate_report_student(Report1())
+```
+
+### Deployment
+The above is all you need if you simply want to use the framework as a self-check: Students can run the code and see how well they did.
+In order to begin using the framework for evaluation we need to create a bit more structure. We do that by deploying the report class as follows:
+```python
+from report1 import Report1
+from unitgrade_private2.hidden_create_files import setup_grade_file_report
+from snipper import snip_dir
+import shutil
+
+if __name__ == "__main__":
+ setup_grade_file_report(Report1, minify=False, obfuscate=False, execute=False)
+
+ # Deploy the files using snipper: https://gitlab.compute.dtu.dk/tuhe/snipper
+ snip_dir.snip_dir(source_dir="../programs", dest_dir="../../students/programs", clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py'])
+
+```
+ - The first line creates the `report1_grade.py` script and any additional data files needed by the tests (none in this case)
+ - The second line set up the students directory (remember, we have included the solutions!) and remove the students solutions. You can check the results in the students folder.
+
+### Using the framework as a student
+You can now upload the `student' directory to the students. The students can run their tests either by running `cs101.report1` in their IDE or by typing:
+```
+python -m cs101.report1
+```
+in the command line. This produces a detailed output of the test and the program is 100% compatible with a debugger. When the students are happy with their output they can run (using command line or IDE):
+```
+python -m cs101.report1_grade
+```
+This runs an identical set of tests, but produces a `.token` file the students can upload to get credit.
+ - The reason to have a seperate `report1_grade.py` script is to avoid accidential removal of tests.
+ - The `report1_grade.py` includes all tests and the main parts of the framework and is obfuscated by default. You can apply a much strong level of protection by using e.g. `pyarmor`.
+ - The `report1_token.token` file includes the outcome of the tests, the time taken, and all python source code in the package. In other words, the file can be used for manual grading, for plagirism detection and for detecting tampering.
+ - You can easily use the framework to include output of functions.
+ - See below for how to validate the students results
+
+### How safe is this?
+Cheating within the framework is probably best done by manually editing the `.token`-file or by creating a broken set of tests. This involves risk of being trivially detected, for instance because tests have the wrong runtime, but more importantly
+the framework automatically pack all the used source code and so if a student is cheating, there is no way to hide it for an instructor who looks at the results. If the
+program is used in conjunction with automatic plagiarism software, cheating therefore involves both breaking the framework, and creating 'false' solutions which statistically match other students solutions, and then hope nobody bothers to check the output.
+ The bottom line is that I think plain old plagiarism is a much more significant risk, and one the framework reduces relative to other project work
+by demanding the source code is included.
+
+If this is not enough you have two options: You can either use `pyarmor` to create a **very** difficult challenge for a prospective hacker, or you can simply validate the students results as shown below.
+
+
+## Example 2: The framework
+One of the main advantages of `unitgrade` over web-based autograders it that tests are really easy to develop and maintain. To take advantage of this, we simply change the class the questions inherit from to `UTestCase` (this is still a `unittest.TestCase`) and we can make use of the chache system. As an example:
+
+```python
+class Week1(UTestCase):
+ """ The first question for week 1. """
+ def test_add(self):
+ from cs102.homework1 import add
+ self.assertEqualC(add(2,2))
+ self.assertEqualC(add(-100, 5))
+
+ def test_reverse(self):
+ from cs102.homework1 import reverse_list
+ """ Reverse a list """ # Add a title to the test.
+ self.assertEqualC(reverse_list([1,2,3]))
+```
+Note we have changed the test-function to `self.assertEqualC` (the `C` is for cache) and dropped the expected result. What `unitgrade` will do
+is to evaluate the test *on the working version of the code*, compute the results of the test, and allow them to be available to the user. All this happens in the `deploy.py` script from before.
+
+There are other ways to send the output to the user. For instance:
+```python
+class Question2(UTestCase):
+ """ Second problem """
+ @cache
+ def my_reversal(self, ls):
+ # The '@cache' decorator ensures the function is not run on the *students* computer
+ # Instead the code is run on the teachers computer and the result is passed on with the
+ # other pre-computed results -- i.e. this function will run regardless of how the student happens to have
+ # implemented reverse_list.
+ from cs102.homework1 import reverse_list
+ return reverse_list(ls)
+
+ def test_reverse_tricky(self):
+ ls = ("butterfly", 4, 1)
+ ls2 = self.my_reversal( tuple(ls) ) # This will always produce the right result.
+ ls3 = self.my_reversal( tuple([1,2,3]) ) # Also works; the cache respects input arguments.
+ self.assertEqualC(self.my_reversal( tuple(ls2) )) # This will actually test the students code.
+ return ls
+```
+This code showcase the `@cache` decorator. What it does is it computes the output of the function on your computer and allows that
+result to be availble to students (the input arguments must be immutable). This may seem odd, but it is very helpful
+ - if you have exercises that depend on each other, and you want students to have access to the expected result of older methods which they may not have implemented correctly.
+ - If you want to use functions the students write to set up appropriate tests without giving away the solution
+
+Furthermore, one of the test now has a return value, which will be automatically included in the `.token` file.
+
+## Example 3: Hidden and secure tests
+To use `unitgrade` as a true autograder you both want security nobody tampered with your tests (or the `.token` files), and
+also that the students implementations didn't just detect what input was being used and
+return the correct answer. To do that you need hidden tests and external validation.
+
+Our new testclass looks like this:
+
+```python
+from src.unitgrade2.unitgrade2 import UTestCase, Report, hide
+from src.unitgrade2 import evaluate_report_student
+
+
+class Week1(UTestCase):
+ """ The first question for week 1. """
+
+ def test_add(self):
+ from cs103.homework1 import add
+ self.assertEqualC(add(2, 2))
+ self.assertEqualC(add(-100, 5))
+
+ @hide
+ def test_add_hidden(self):
+ # This is a hidden test. The @hide-decorator will allow unitgrade to remove the test.
+ # See the output in the student directory for more information.
+ from cs103.homework1 import add
+ self.assertEqualC(add(2, 2))
+
+
+import cs103
+
+
+class Report3(Report):
+ title = "CS 101 Report 3"
+ questions = [(Week1, 20)] # Include a single question for 10 credits.
+ pack_imports = [cs103]
+
+
+if __name__ == "__main__":
+ evaluate_report_student(Report3())
+```
+
+This test is stored as `report3_complete.py`. Note the `@hide` decorator which will tell the framework that test (and all code) should be hidden from the user.
+
+In order to use the hidden tests, we first need a version for the students without them. This can be done by changing the `deploy.py` script as follows:
+
+```python
+def deploy_student_files():
+ setup_grade_file_report(Report3, minify=False, obfuscate=False, execute=False)
+ Report3.reset()
+
+ fout, ReportWithoutHidden = remove_hidden_methods(Report3, outfile="report3.py")
+ setup_grade_file_report(ReportWithoutHidden, minify=False, obfuscate=False, execute=False)
+ sdir = "../../students/cs103"
+ snip_dir(source_dir="../cs103", dest_dir=sdir, clean_destination_dir=True, exclude=['__pycache__', '*.token', 'deploy.py', 'report3_complete*.py'])
+ return sdir
+
+
+if __name__ == "__main__":
+ # Step 1: Deploy the students files and return the directory they were written to
+ student_directory = deploy_student_files()
+```
+This script first compiles the `report3_complete_grade.py`-script (which we will use) and then
+remove the hidden methods and compiles the students script `report3_grade.py`-script. Finally, we synchronize with the s
+student folder, which now contains no traces of our hidden method -- not in any of the sources files or the data files.
+
+The next step is optional, but we quickly simulate that the student runs his script and we get a link to the `.token` file:
+```python
+os.system("cd ../../students && python -m cs103.report3_grade")
+student_token_file = glob.glob(student_directory + "/*.token")[0]
+```
+This is the file we assume the student uploads. The external validation can be carried out as follows:
+
+```python
+def run_student_code_on_docker(Dockerfile, student_token_file):
+ token = docker_run_token_file(Dockerfile_location=Dockerfile,
+ host_tmp_dir=os.path.dirname(Dockerfile) + "/tmp",
+ student_token_file=student_token_file,
+ instructor_grade_script="report3_complete_grade.py")
+ with open(token, 'rb') as f:
+ results = pickle.load(f)
+ return results
+
+if __name__ == "__main__":
+ # Step 3: Compile the Docker image (obviously you will only do this once; add your packages to requirements.txt).
+ Dockerfile = os.path.dirname(__file__) + "/../unitgrade-docker/Dockerfile"
+ os.system("cd ../unitgrade-docker && docker build --tag unitgrade-docker .")
+
+ # Step 4: Test the students .token file and get the results-token-file. Compare the contents with the students_token_file:
+ checked_token = run_student_code_on_docker(Dockerfile, student_token_file)
+
+ # Let's quickly compare the students score to what we got (the dictionary contains all relevant information including code).
+ with open(student_token_file, 'rb') as f:
+ results = pickle.load(f)
+ print("Student's score was:", results['total'])
+ print("My independent evaluation of the students score was", checked_token['total'])
+```
+
+These steps compile a Docker image (you can easily add whatever packages you need) and runs **our** `project3_complete_grade.py` script on the **students** source code (as taken from the token file).
+
+The last lines load the result and compare the score -- in this case both will return 0 points, and any dissimilarity in the results should be immediate cause for concern.
+
+ - Docker prevents students from doing mailicious things to your computer and allows the results to be reproducible by TAs.
+
+
diff --git a/src/unitgrade_devel.egg-info/SOURCES.txt b/src/unitgrade_devel.egg-info/SOURCES.txt
new file mode 100644
index 0000000..b7b0b23
--- /dev/null
+++ b/src/unitgrade_devel.egg-info/SOURCES.txt
@@ -0,0 +1,18 @@
+LICENSE
+README.md
+pyproject.toml
+setup.py
+src/unitgrade_devel.egg-info/PKG-INFO
+src/unitgrade_devel.egg-info/SOURCES.txt
+src/unitgrade_devel.egg-info/dependency_links.txt
+src/unitgrade_devel.egg-info/requires.txt
+src/unitgrade_devel.egg-info/top_level.txt
+src/unitgrade_private2/__init__.py
+src/unitgrade_private2/deployment.py
+src/unitgrade_private2/docker_helpers.py
+src/unitgrade_private2/hidden_create_files.py
+src/unitgrade_private2/hidden_gather_upload.py
+src/unitgrade_private2/token_loader.py
+src/unitgrade_private2/version.py
+src/unitgrade_private2/autolab/__init__.py
+src/unitgrade_private2/autolab/autolab.py
\ No newline at end of file
diff --git a/src/unitgrade_devel.egg-info/dependency_links.txt b/src/unitgrade_devel.egg-info/dependency_links.txt
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/src/unitgrade_devel.egg-info/dependency_links.txt
@@ -0,0 +1 @@
+
diff --git a/src/unitgrade_devel.egg-info/requires.txt b/src/unitgrade_devel.egg-info/requires.txt
new file mode 100644
index 0000000..70825fe
--- /dev/null
+++ b/src/unitgrade_devel.egg-info/requires.txt
@@ -0,0 +1,9 @@
+numpy
+unitgrade
+codesnipper
+tabulate
+tqdm
+pyfiglet
+colorama
+coverage
+compress_pickle
diff --git a/src/unitgrade_devel.egg-info/top_level.txt b/src/unitgrade_devel.egg-info/top_level.txt
new file mode 100644
index 0000000..9da4671
--- /dev/null
+++ b/src/unitgrade_devel.egg-info/top_level.txt
@@ -0,0 +1 @@
+unitgrade_private2
diff --git a/unitgrade_private2/__init__.py b/src/unitgrade_private2/__init__.py
similarity index 97%
rename from unitgrade_private2/__init__.py
rename to src/unitgrade_private2/__init__.py
index 3164fd6..b233adc 100644
--- a/unitgrade_private2/__init__.py
+++ b/src/unitgrade_private2/__init__.py
@@ -1,5 +1,6 @@
import os
import compress_pickle
+# __version__ = "0.0.1"
def cache_write(object, file_name, verbose=True):
dn = os.path.dirname(file_name)
diff --git a/unitgrade_private2/codejudge_example/__init__.py b/src/unitgrade_private2/autolab/__init__.py
similarity index 100%
rename from unitgrade_private2/codejudge_example/__init__.py
rename to src/unitgrade_private2/autolab/__init__.py
diff --git a/autolab/autolab.py b/src/unitgrade_private2/autolab/autolab.py
similarity index 89%
rename from autolab/autolab.py
rename to src/unitgrade_private2/autolab/autolab.py
index 6f9fc05..1c863c5 100644
--- a/autolab/autolab.py
+++ b/src/unitgrade_private2/autolab/autolab.py
@@ -4,17 +4,14 @@ cd ~/Autolab && bundle exec rails s -p 8000 --binding=0.0.0.0
To remove my shitty image:
docker rmi tango_python_tue
"""
-import inspect
from zipfile import ZipFile
-import os
from os.path import basename
import os
import shutil
from jinja2 import Environment, FileSystemLoader
import glob
import pickle
-from unitgrade2.unitgrade2 import Report
-import inspect
+from src.unitgrade2.unitgrade2 import Report
from unitgrade_private2 import docker_helpers
COURSES_BASE = "/home/tuhe/Autolab/courses/AutoPopulated"
@@ -58,10 +55,10 @@ def zipFilesInDir(dirName, zipFileName, filter):
def paths2report(base_path, report_file):
mod = ".".join(os.path.relpath(report_file[:-3], base_path).split(os.sep))
- # f2 = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/cs101"
- # spec1 = importlib.util.spec_from_file_location("cs101", f2)
- # cs101 = importlib.util.module_from_spec(spec1)
- # spec1.loader.exec_module(cs101)
+ # f2 = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/programs"
+ # spec1 = importlib.util.spec_from_file_location("programs", f2)
+ # programs = importlib.util.module_from_spec(spec1)
+ # spec1.loader.exec_module(programs)
from importlib.machinery import SourceFileLoader
foo = SourceFileLoader(mod, report_file).load_module()
@@ -85,22 +82,6 @@ def run_relative(file, base):
import inspect
-# class Example:
-# @property
-# def title(self):
-# stack = inspect.stack()
-# return stack[1].function.__doc__
-# @title.setter
-# def title(self, value):
-# stack = inspect.stack()
-# stack[1].function.__doc__ = value
-# # self._title = value
-#
-# def myfun(self):
-# self.title = 234
-# self.title
-#
-# return 3
def deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STUDENT_BASE, STUDENT_GRADE_FILE,
@@ -121,8 +102,8 @@ def deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STUDENT
LAB_DEST = os.path.join(COURSES_BASE, base_name)
- # STUDENT_HANDOUT_DIR = os.path.dirname(STUDENT_GRADE_FILE) #"/home/tuhe/Documents/unitgrade_private/examples/example_simplest/students/cs101"
- # INSTRUCTOR_GRADE_FILE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/cs101/report1.py"
+ # STUDENT_HANDOUT_DIR = os.path.dirname(STUDENT_GRADE_FILE) #"/home/tuhe/Documents/unitgrade_private/examples/example_simplest/students/programs"
+ # INSTRUCTOR_GRADE_FILE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/programs/report5.py"
# Make instructor token file.
# Get the instructor result file.
run_relative(INSTRUCTOR_GRADE_FILE, INSTRUCTOR_BASE)
@@ -142,7 +123,7 @@ def deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STUDENT
print(scores)
# Quickly make student .token file to upload:
- # os.system(f"cd {os.path.dirname(STUDENT_HANDOUT_DIR)} && python -m cs101.{os.path.basename(INSTRUCTOR_GRADE_FILE)[:-3]}")
+ # os.system(f"cd {os.path.dirname(STUDENT_HANDOUT_DIR)} && python -m programs.{os.path.basename(INSTRUCTOR_GRADE_FILE)[:-3]}")
# os.system(f"cd {STUDENT_HANDOUT_DIR} && python {os.path.basename(INSTRUCTOR_GRADE_FILE)}")
# handin_filename = os.path.basename(STUDENT_TOKEN_FILE)
@@ -165,7 +146,7 @@ def deploy_assignment(base_name, INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STUDENT
INSTRUCTOR_REPORT_FILE = INSTRUCTOR_GRADE_FILE[:-9] + ".py"
a = 234
- # /home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/cs101/report1.py"
+ # /home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/programs/report5.py"
data = {
'base_name': base_name,
# 'nice_name': base_name + "please",
@@ -213,10 +194,10 @@ if __name__ == "__main__":
print("Deploying to", COURSES_BASE)
docker_build_image()
- INSTRUCTOR_GRADE_FILE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/cs101/report1_grade.py"
+ INSTRUCTOR_GRADE_FILE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor/programs/report1_grade.py"
INSTRUCTOR_BASE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/instructor"
STUDENT_BASE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/students"
- STUDENT_GRADE_FILE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/students/cs101/report1_grade.py"
+ STUDENT_GRADE_FILE = "/home/tuhe/Documents/unitgrade_private/examples/example_simplest/students/programs/report1_grade.py"
output_tar = deploy_assignment("hello4", INSTRUCTOR_BASE, INSTRUCTOR_GRADE_FILE, STUDENT_BASE, STUDENT_GRADE_FILE=STUDENT_GRADE_FILE)
diff --git a/autolab/lab_template/Makefile b/src/unitgrade_private2/autolab/lab_template/Makefile
similarity index 100%
rename from autolab/lab_template/Makefile
rename to src/unitgrade_private2/autolab/lab_template/Makefile
diff --git a/autolab/lab_template/autograde-Makefile b/src/unitgrade_private2/autolab/lab_template/autograde-Makefile
similarity index 100%
rename from autolab/lab_template/autograde-Makefile
rename to src/unitgrade_private2/autolab/lab_template/autograde-Makefile
diff --git a/autolab/lab_template/autograde.tar b/src/unitgrade_private2/autolab/lab_template/autograde.tar
similarity index 100%
rename from autolab/lab_template/autograde.tar
rename to src/unitgrade_private2/autolab/lab_template/autograde.tar
diff --git a/autolab/lab_template/hello.rb b/src/unitgrade_private2/autolab/lab_template/hello.rb
similarity index 100%
rename from autolab/lab_template/hello.rb
rename to src/unitgrade_private2/autolab/lab_template/hello.rb
diff --git a/autolab/lab_template/hello.yml b/src/unitgrade_private2/autolab/lab_template/hello.yml
similarity index 100%
rename from autolab/lab_template/hello.yml
rename to src/unitgrade_private2/autolab/lab_template/hello.yml
diff --git a/autolab/lab_template/src/Makefile b/src/unitgrade_private2/autolab/lab_template/src/Makefile
similarity index 100%
rename from autolab/lab_template/src/Makefile
rename to src/unitgrade_private2/autolab/lab_template/src/Makefile
diff --git a/autolab/lab_template/src/Makefile-handout b/src/unitgrade_private2/autolab/lab_template/src/Makefile-handout
similarity index 100%
rename from autolab/lab_template/src/Makefile-handout
rename to src/unitgrade_private2/autolab/lab_template/src/Makefile-handout
diff --git a/autolab/lab_template/src/README b/src/unitgrade_private2/autolab/lab_template/src/README
similarity index 100%
rename from autolab/lab_template/src/README
rename to src/unitgrade_private2/autolab/lab_template/src/README
diff --git a/autolab/lab_template/src/README-handout b/src/unitgrade_private2/autolab/lab_template/src/README-handout
similarity index 100%
rename from autolab/lab_template/src/README-handout
rename to src/unitgrade_private2/autolab/lab_template/src/README-handout
diff --git a/autolab/lab_template/src/driver.sh b/src/unitgrade_private2/autolab/lab_template/src/driver.sh
old mode 100755
new mode 100644
similarity index 100%
rename from autolab/lab_template/src/driver.sh
rename to src/unitgrade_private2/autolab/lab_template/src/driver.sh
diff --git a/autolab/lab_template/src/driver_python.py b/src/unitgrade_private2/autolab/lab_template/src/driver_python.py
similarity index 96%
rename from autolab/lab_template/src/driver_python.py
rename to src/unitgrade_private2/autolab/lab_template/src/driver_python.py
index 1046485..b5ad50f 100644
--- a/autolab/lab_template/src/driver_python.py
+++ b/src/unitgrade_private2/autolab/lab_template/src/driver_python.py
@@ -55,8 +55,8 @@ def rcom(cm):
start = time.time()
rcom(command)
# pfiles()
-# for f in glob.glob(host_tmp_dir + "/cs101/*"):
-# print("cs101/", f)
+# for f in glob.glob(host_tmp_dir + "/programs/*"):
+# print("programs/", f)
# print("---")
ls = glob.glob(token)
# print(ls)
diff --git a/autolab/lab_template/src/hello.c b/src/unitgrade_private2/autolab/lab_template/src/hello.c
similarity index 100%
rename from autolab/lab_template/src/hello.c
rename to src/unitgrade_private2/autolab/lab_template/src/hello.c
diff --git a/autolab/lab_template/src/hello.c-handout b/src/unitgrade_private2/autolab/lab_template/src/hello.c-handout
similarity index 100%
rename from autolab/lab_template/src/hello.c-handout
rename to src/unitgrade_private2/autolab/lab_template/src/hello.c-handout
diff --git a/unitgrade_private2/deployment.py b/src/unitgrade_private2/deployment.py
similarity index 94%
rename from unitgrade_private2/deployment.py
rename to src/unitgrade_private2/deployment.py
index e25bd89..1acee08 100644
--- a/unitgrade_private2/deployment.py
+++ b/src/unitgrade_private2/deployment.py
@@ -1,6 +1,5 @@
import inspect
-from unitgrade2.unitgrade2 import methodsWithDecorator, hide
-import os
+from src.unitgrade2.unitgrade2 import methodsWithDecorator, hide
import os
import importlib
diff --git a/unitgrade_private2/docker_helpers.py b/src/unitgrade_private2/docker_helpers.py
similarity index 58%
rename from unitgrade_private2/docker_helpers.py
rename to src/unitgrade_private2/docker_helpers.py
index cde3e6e..81bbd12 100644
--- a/unitgrade_private2/docker_helpers.py
+++ b/src/unitgrade_private2/docker_helpers.py
@@ -1,15 +1,23 @@
# from cs202courseware.ug2report1 import Report1
-# import thtools
+
import pickle
import os
import glob
-# from unitgrade_private2.deployment import remove_hidden_methods
-# from unitgrade_private2.hidden_gather_upload import gather_upload_to_campusnet
-# from unitgrade_private2.hidden_create_files import setup_grade_file_report
import shutil
import time
import zipfile
import io
+import inspect
+import subprocess
+
+def compile_docker_image(Dockerfile, tag=None):
+ assert os.path.isfile(Dockerfile)
+ base = os.path.dirname(Dockerfile)
+ if tag == None:
+ tag = os.path.basename(base)
+ os.system(f"cd {base} && docker build --tag {tag} .")
+ return tag
+
def student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade_script, grade_file_relative_destination):
"""
@@ -20,7 +28,8 @@ def student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade
:param instructor_grade_script:
:return:
"""
- # assert os.path.exists(Dockerfile_location)
+ assert os.path.exists(student_token_file)
+ assert os.path.exists(instructor_grade_script)
start = time.time()
with open(student_token_file, 'rb') as f:
@@ -31,15 +40,11 @@ def student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade
with zipfile.ZipFile(zb) as zip:
zip.extractall(host_tmp_dir)
# Done extracting the zip file! Now time to move the (good) report test class into the location.
- import inspect
- # if ReportClass is not None:
- # gscript = inspect.getfile(ReportClass)[:-3] + "_grade.py"
- # else:
+
gscript = instructor_grade_script
print(f"{sources['report_relative_location']=}")
print(f"{sources['name']=}")
- # student_grade_script = host_tmp_dir + "/" + sources['name'] + "/" + sources['report_relative_location']
- # instructor_grade_script = os.path.dirname(student_grade_script) + "/" + os.path.basename(gscript)
+
print("Now in docker_helpers.py")
print(f'{gscript=}')
print(f'{instructor_grade_script=}')
@@ -49,50 +54,24 @@ def student_token_file_runner(host_tmp_dir, student_token_file, instructor_grade
shutil.copy(gscript, gscript_destination)
# Now everything appears very close to being set up and ready to roll!.
- # import thtools
-
- # os.path.split()
d = os.path.normpath(grade_file_relative_destination).split(os.sep)
d = d[:-1] + [os.path.basename(instructor_grade_script)[:-3]]
- # print(f'{d=}')
pycom = ".".join(d)
-
"""
docker run -v c:/Users/tuhe/Documents/2021/python-docker/tmp:/app python-docker python3 -m cs202courseware.ug2report1_grade
"""
- # dockname = os.path.basename(os.path.dirname(Dockerfile_location))
-
- # tmp_grade_file = sources['name'] + "/" + sources['report_relative_location']
- # print(f'{tmp_grade_file=}')
- # pycom = ".".join((sources['name'],) + os.path.split(sources['report_relative_location'])[1:-1] + (os.path.basename(gscript),))
pycom = "python3 -m " + pycom # pycom[:-3]
print(f"{pycom=}")
- # tmp_path = os.path.abspath(host_tmp_dir).replace("\\", "/")
- # dcom = f"docker run -v {tmp_path}:/app {dockname} {pycom}"
- # cdcom = f"cd {os.path.dirname(Dockerfile_location)}"
- # fcom = f"{cdcom} && {dcom}"
- # print("> Running docker command")
- # print(fcom)
-
- # thtools.execute_command(fcom.split())
- # get token file:
token_location = host_tmp_dir + "/" + os.path.dirname( grade_file_relative_destination ) + "/*.token"
-
- # host_tmp_dir + "/" + os.path.dirname(tmp_grade_file) + "/"
- # tokens = glob.glob(host_tmp_dir + "/" + os.path.dirname(tmp_grade_file) + "/*.token")
- # token_location = host_tmp_dir + "/" + os.path.dirname(tmp_grade_file)
-
- # for t in tokens:
- # print("Source image produced token", t)
elapsed = time.time() - start
# print("Elapsed time is", elapsed)
return pycom, token_location
- pass
-def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file, ReportClass=None, instructor_grade_script=None):
+
+def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file, instructor_grade_script=None):
"""
This thingy works:
@@ -119,41 +98,33 @@ def docker_run_token_file(Dockerfile_location, host_tmp_dir, student_token_file,
with zipfile.ZipFile(zb) as zip:
zip.extractall(host_tmp_dir)
# Done extracting the zip file! Now time to move the (good) report test class into the location.
- import inspect
- if ReportClass is not None:
- gscript = inspect.getfile(ReportClass)[:-3] + "_grade.py"
- else:
- gscript = instructor_grade_script
+ gscript = instructor_grade_script
- student_grade_script = host_tmp_dir + "/" + sources['name'] + "/" + sources['report_relative_location']
+ student_grade_script = host_tmp_dir + "/" + sources['report_relative_location']
instructor_grade_script = os.path.dirname(student_grade_script) + "/"+os.path.basename(gscript)
shutil.copy(gscript, instructor_grade_script)
- # Now everything appears very close to being set up and ready to roll!.
- import thtools
-
"""
- docker run -v c:/Users/tuhe/Documents/2021/python-docker/tmp:/app python-docker python3 -m cs202courseware.ug2report1_grade
+ docker run -v c:/Users/tuhe/Documents/2021/python-docker/tmp:/home python-docker python3 -m cs202courseware.ug2report1_grade
"""
dockname = os.path.basename( os.path.dirname(Dockerfile_location) )
tmp_grade_file = sources['name'] + "/" + sources['report_relative_location']
- pycom = ".".join( (sources['name'], ) + os.path.split(sources['report_relative_location'])[1:-1] + (os.path.basename(gscript),) )
- pycom = "python3 -m " + pycom[:-3]
+ pycom = ".".join( sources['report_module_specification'][:-1] + [os.path.basename(gscript)[:-3],] )
+ pycom = "python3 -m " + pycom
tmp_path = os.path.abspath(host_tmp_dir).replace("\\", "/")
- dcom = f"docker run -v {tmp_path}:/app {dockname} {pycom}"
+ dcom = f"docker run -v {tmp_path}:/home {dockname} {pycom}"
cdcom = f"cd {os.path.dirname(Dockerfile_location)}"
fcom = f"{cdcom} && {dcom}"
print("> Running docker command")
print(fcom)
init = time.time() - start
- thtools.execute_command(fcom.split())
- # get token file:
-
+ # thtools.execute_command(fcom.split())
+ subprocess.check_output(fcom.split(), shell=True).decode("utf-8")
host_tmp_dir +"/" + os.path.dirname(tmp_grade_file) + "/"
- tokens = glob.glob(host_tmp_dir +"/" + os.path.dirname(tmp_grade_file) + "/*.token" )
+ tokens = glob.glob( os.path.dirname(instructor_grade_script) + "/*.token" )
for t in tokens:
print("Source image produced token", t)
elapsed = time.time() - start
diff --git a/unitgrade_private2/example/report0.py b/src/unitgrade_private2/example/report0.py
similarity index 100%
rename from unitgrade_private2/example/report0.py
rename to src/unitgrade_private2/example/report0.py
diff --git a/unitgrade_private2/hidden_create_files.py b/src/unitgrade_private2/hidden_create_files.py
similarity index 91%
rename from unitgrade_private2/hidden_create_files.py
rename to src/unitgrade_private2/hidden_create_files.py
index b041c81..50796e6 100644
--- a/unitgrade_private2/hidden_create_files.py
+++ b/src/unitgrade_private2/hidden_create_files.py
@@ -1,4 +1,4 @@
-from unitgrade2 import cache_read, cache_write
+from src.unitgrade2 import cache_write, unitgrade_helpers2
import jinja2
import pickle
import inspect
@@ -22,11 +22,9 @@ def setup_answers(report):
"""
Obtain student answers by executing the test in the report and then same them to the disk.
"""
- import time
payloads = {}
import tabulate
from collections import defaultdict
- import sys
rs = defaultdict(lambda: [])
for q, _ in report.questions:
# for q, _ in report.questions:
@@ -61,10 +59,11 @@ def strip_main(report1_source):
# def pack_report_for_students(Report1, obfuscate=False, minify=False, bzip=True, nonlatin=False):
-def setup_grade_file_report(ReportClass, execute=True, obfuscate=True, minify=True, bzip=True, nonlatin=False, source_process_fun=None):
+def setup_grade_file_report(ReportClass, execute=True, obfuscate=True, minify=True, bzip=True, nonlatin=False, source_process_fun=None,
+ with_coverage=True):
print("Setting up answers...")
# ReportClass()
- payload = ReportClass()._setup_answers()
+ payload = ReportClass()._setup_answers(with_coverage=with_coverage)
# setup_answers(ReportClass())
import time
time.sleep(0.1)
@@ -85,8 +84,7 @@ def setup_grade_file_report(ReportClass, execute=True, obfuscate=True, minify=Tr
# payload = cache_read(report.computed_answers_file)
picklestring = pickle.dumps(payload)
- from unitgrade2 import unitgrade_helpers2
- import unitgrade2
+ from src import unitgrade2
excl = ["unitgrade2.unitgrade_helpers2",
"from . import",
"from unitgrade2.",
@@ -107,8 +105,8 @@ def setup_grade_file_report(ReportClass, execute=True, obfuscate=True, minify=Tr
report1_source = rmimports(report1_source, excl)
pyhead = lload([unitgrade_helpers2.__file__, hidden_gather_upload.__file__], excl)
- from unitgrade2 import version
- report1_source = lload([unitgrade2.__file__, unitgrade2.unitgrade2.__file__, unitgrade_helpers2.__file__, hidden_gather_upload.__file__, version.__file__], excl) + "\n" + report1_source
+ from src.unitgrade2 import version
+ report1_source = lload([unitgrade2.__file__, src.unitgrade2.unitgrade2.__file__, unitgrade_helpers2.__file__, hidden_gather_upload.__file__, version.__file__], excl) + "\n" + report1_source
print(sys.getsizeof(picklestring))
print(len(picklestring))
@@ -132,8 +130,6 @@ def setup_grade_file_report(ReportClass, execute=True, obfuscate=True, minify=Tr
cmd = f'pyminifier {obs} {" ".join(extra)} --replacement-length=20 -o {output} {output}'
print(cmd)
os.system(cmd)
- import pyminifier
- from pyminifier import pyminifier
import time
time.sleep(0.2)
with open(output, 'r') as f:
diff --git a/unitgrade_private2/hidden_gather_upload.py b/src/unitgrade_private2/hidden_gather_upload.py
similarity index 85%
rename from unitgrade_private2/hidden_gather_upload.py
rename to src/unitgrade_private2/hidden_gather_upload.py
index 0fb11d8..db76a83 100644
--- a/unitgrade_private2/hidden_gather_upload.py
+++ b/src/unitgrade_private2/hidden_gather_upload.py
@@ -1,13 +1,8 @@
-from unitgrade2.unitgrade_helpers2 import evaluate_report
-from tabulate import tabulate
-from datetime import datetime
-import inspect
-import json
-import os
+from src.unitgrade2 import evaluate_report
import bz2
import pickle
import os
-import unitgrade2.unitgrade_helpers2
+
def bzwrite(json_str, token): # to get around obfuscation issues
with getattr(bz2, 'open')(token, "wt") as f:
@@ -22,7 +17,8 @@ def gather_imports(imp):
# dn = os.path.dirname(f)
# top_package = os.path.dirname(__import__(m.__name__.split('.')[0]).__file__)
# top_package = str(__import__(m.__name__.split('.')[0]).__path__)
- if m.__class__.__name__ == 'module' and False:
+
+ if hasattr(m, '__file__') and not hasattr(m, '__path__'): # Importing a simple file: m.__class__.__name__ == 'module' and False:
top_package = os.path.dirname(m.__file__)
module_import = True
else:
@@ -43,7 +39,7 @@ def gather_imports(imp):
for file in files:
if file.endswith(".py"):
fpath = os.path.join(root, file)
- v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package))
+ v = os.path.relpath(os.path.join(root, file), os.path.dirname(top_package) if not module_import else top_package)
zip.write(fpath, v)
resources['zipfile'] = zip_buffer.getvalue()
@@ -87,14 +83,14 @@ def gather_upload_to_campusnet(report, output_dir=None):
results, table_data = evaluate_report(report, show_help_flag=False, show_expected=False, show_computed=False, silent=True,
show_progress_bar=not args.noprogress,
big_header=not args.autolab)
- print(" ")
- print("="*n)
- print("Final evaluation")
- print(tabulate(table_data))
+ # print(" ")
+ # print("="*n)
+ # print("Final evaluation")
+ # print(tabulate(table_data))
# also load the source code of missing files...
sources = {}
-
+ print("")
if not args.autolab:
if len(report.individual_imports) > 0:
print("By uploading the .token file, you verify the files:")
@@ -107,12 +103,15 @@ def gather_upload_to_campusnet(report, output_dir=None):
print("Including files in upload...")
for k, m in enumerate(report.pack_imports):
nimp, top_package = gather_imports(m)
- report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
+ _, report_relative_location, module_import = report._import_base_relative()
+
+ # report_relative_location = os.path.relpath(inspect.getfile(report.__class__), top_package)
nimp['report_relative_location'] = report_relative_location
+ nimp['report_module_specification'] = module_import
nimp['name'] = m.__name__
sources[k] = nimp
# if len([k for k in nimp if k not in sources]) > 0:
- print(f"*** {m.__name__}")
+ print(f" * {m.__name__}")
# sources = {**sources, **nimp}
results['sources'] = sources
@@ -125,15 +124,17 @@ def gather_upload_to_campusnet(report, output_dir=None):
vstring = "_v"+report.version if report.version is not None else ""
token = "%s_%i_of_%i%s.token"%(payload_out_base, obtain, possible,vstring)
- token = os.path.join(output_dir, token)
+ token = os.path.normpath(os.path.join(output_dir, token))
+
+
with open(token, 'wb') as f:
pickle.dump(results, f)
if not args.autolab:
print(" ")
- print("To get credit for your results, please upload the single file: ")
+ print("To get credit for your results, please upload the single unmodified file: ")
print(">", token)
- print("To campusnet without any modifications.")
+ # print("To campusnet without any modifications.")
# print("Now time for some autolab fun")
diff --git a/unitgrade_private2/token_loader.py b/src/unitgrade_private2/token_loader.py
similarity index 99%
rename from unitgrade_private2/token_loader.py
rename to src/unitgrade_private2/token_loader.py
index 2feb2a8..a79f6ec 100644
--- a/unitgrade_private2/token_loader.py
+++ b/src/unitgrade_private2/token_loader.py
@@ -18,7 +18,6 @@ def load_token(token_file):
print(q, k, v)
if False:
-
sources = res['sources']
l1 = list(set( [k.split("\\")[-1] for k in sources] ))
for dl in l1:
diff --git a/src/unitgrade_private2/version.py b/src/unitgrade_private2/version.py
new file mode 100644
index 0000000..06fbe7e
--- /dev/null
+++ b/src/unitgrade_private2/version.py
@@ -0,0 +1 @@
+version = "0.0.1"
\ No newline at end of file
diff --git a/tutorial/ncode.py b/tutorial/ncode.py
new file mode 100644
index 0000000..cb66a61
--- /dev/null
+++ b/tutorial/ncode.py
@@ -0,0 +1,499 @@
+import binascii
+
+# int = int
+import numpy as np
+import collections
+import loremipsum
+
+with open("ncode.py", 'r') as f:
+ s = f.read()
+ # s.splitlines()
+ for k, line in enumerate(s.splitlines()):
+ # l = line.strip()
+ l = line
+ if '=' in l and not l.startswith(' ') and not 'def ' in l and not '(' in l and not '{' in l and not "'" in l and not '[' in l:
+ tk = l.split("=")
+ if len(tk) == 2:
+ (a,b) = tk
+ if len(a) > 8 and not a.startswith("'") or a.startswith(' ') and not '(' in b:
+ a = a.strip()
+ b = b.strip()
+ if b not in ['False', '79']:
+ print(l)
+ s = s.replace(a, b + ' ')
+ s = s.replace(f"{b} = {b}", ' ')
+# with open('ncode2.py', 'w') as f:
+# f.write(s)
+
+
+import math
+
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKR(msg, pubkey):
+ bits = int(
+ math.log(pubkey[1], 256))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRqr = bits + 1
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRKq = '%%0%dx' % (
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRqr * 2,)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRKr = msg.encode()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrq = []
+ for kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrK in range(0,
+ len(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRKr),
+ bits):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRKr[
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrK:kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrK + bits]
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRK += b'\x00' * (
+ bits - len(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRK))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRr = int(
+ binascii.hexlify(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRK), 16)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKR = pow(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRr, *pubkey)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKr = binascii.unhexlify((
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRKq % kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKR).encode())
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrq.append(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKr)
+ return b''.join(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrq)
+
+
+"""
+submission_autograder.py: Local autograder client.
+See README.md for a summary of how this program works.
+Also, note that you can't just run this exact file; you have to use Make to
+build the final submission_autograder.py file, then run that.
+The build process (Makefile) #includes header.py and rsa.py here:
+* header.py replaces the print statement with the Python 3 print() function.
+* header.py replaces open with codecs.open; this must be done in header.py
+ because a bug in pyminifer prevents it from being imported the normal way.
+* rsa.py imports binascii and math.
+* rsa.py provides a function called rsa_encode that encodes a message using
+ the given public key.
+"""
+import base64
+import hashlib
+
+hashlib.sha256 = hashlib.sha256
+import json
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqTr = json.dumps
+import logging
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTq = logging.critical
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrK = logging.debug
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrT = logging.CRITICAL
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqKr = logging.DEBUG
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqKT = logging.basicConfig
+import os
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKrT = os.environ
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKqr = os.listdir
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKqT = os.getcwd
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr = os.path
+import platform
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKrq = platform.uname
+import re
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrTq = re.match
+import shutil
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrTK = shutil.copyfile
+import subprocess
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrqK = subprocess.PIPE
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrqT = subprocess.Popen
+import sys
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRr = sys.argv
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRK = sys.exit
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrKq = sys.stdout
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrKT = sys.executable
+import tempfile
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTKR = tempfile.mkdtemp
+import time
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTrK = time.gmtime
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTrR = time.strftime
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTKr = time.time
+import urllib.request
+import zipfile
+
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqRTK = zipfile.ZipFile
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrR = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTKr()
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrK = 'tutorial'
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKRq = {
+ 'tutorial': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/tutorial.zip',
+ 'search': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/search.zip',
+ 'multiagent': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/multiagent.zip',
+ 'reinforcement': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/reinforcement.zip',
+ 'bayesnets': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/bayesNets2.zip',
+ 'tracking': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/tracking.zip',
+ 'classification': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/classification_sp16.zip',
+ 'machinelearning': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/machinelearning.zip', }
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKRr = {'tutorial': ['shopSmart.py', 'buyLotsOfFruit.py', 'addition.py'],
+ 'search': ['searchAgents.py', 'search.py'],
+ 'multiagent': ['multiAgents.py'],
+ 'reinforcement': ['analysis.py', 'qlearningAgents.py',
+ 'valueIterationAgents.py'],
+ 'bayesnets': ['factorOperations.py', 'inference.py',
+ 'bayesAgents.py'],
+ 'tracking': ['bustersAgents.py', 'inference.py'],
+ 'classification': ['perceptron.py', 'answers.py', 'solvers.py',
+ 'search_hyperparams.py', 'features.py'],
+ 'machinelearning': ['nn.py', 'models.py'], }
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKqR = False
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKqr = '1.4.0'
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKrR = 20000000 if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrK == 'machinelearning' else 5000000
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKrq = [kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrKT or 'python',
+ 'autograder.py', '--mute', '--no-graphics', '--edx-output']
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRq = 79
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRK = '%A, %B %d, %Y, %H:%M:%S'
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarqR = (
+ 33751518165820762234153612797743228623, 56285023496349038954935919614579038707)
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarqK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKRq[
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrK].replace('https://', 'http://')
+kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarKR = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKRr[
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrK]
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKq(s, width=kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRq,
+ indent=0, right_margin=5):
+ print(' ' * indent + s + '.' * (
+ width - len(s) - right_margin - indent), end='')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrKq.flush()
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq(msg='DONE', indent=1):
+ print(' ' * indent + msg)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrKq.flush()
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaK(file_path, block_size=65536):
+ if not kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.isfile(file_path):
+ return '(not file)'
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.getsize(
+ file_path) > kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKrR:
+ return '(file too big)'
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRarq = hashlib.sha256()
+ with open(file_path, 'rb')as f:
+ for kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRK in iter(lambda: f.read(block_size), b''):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRarq.update(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRK)
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRarq.hexdigest()
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRqa(file_path, mode='r'):
+ if not kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.isfile(file_path):
+ return '(not file)'
+ with open(file_path, mode)as f:
+ return f.read()
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRqK():
+ print('-' * kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRq,
+ end='\n\n')
+ print('CS 188 Local Submission Autograder')
+ print('Version ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKqr,
+ end='\n\n')
+ print('-' * kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRq,
+ end='\n\n')
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRKa():
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKqR:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRarK = 'submission_autograder.log'
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqKT(format='%(asctime)s - %(levelname)s - %(message)s',
+ level=kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqKr,
+ stream=open(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRarK, 'w'))
+ else:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqKT(format='\nERROR - %(message)s',
+ level=kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrT)
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRKq():
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqaK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.dirname(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.realpath(__file__))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqar = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKqT()
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqar != kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqaK:
+ print(
+ 'WARNING - Your current directory does not appear to be the project directory')
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqaR():
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKq('Setting up environment')
+ try:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKa = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTKR(
+ prefix='cs188-')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrK(
+ 'Temporary directory created at ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKa)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq()
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKa
+ except Exception as e:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTq(
+ 'Could not create temp directory: ' + str(e))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRK(104)
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqaK(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR, dest_dir):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKq('Downloading autograder')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrK(
+ 'Downloading from ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR)
+ try:
+ f = urllib.request.urlopen(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.join(
+ dest_dir, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.basename(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR))
+ with open(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr,
+ 'wb')as kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqra:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqra.write(f.read())
+ except Exception as e:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTq(
+ 'Download failed: ' + str(e))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRK(101)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrK(
+ 'Downloaded to ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq()
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqRa(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKq, dest_dir):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKq('Extracting autograder')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrK(
+ 'Extracting ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKq)
+ with kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqRTK(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKq)as f:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqrK = f.namelist()
+ if len(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqrK) == 0:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTq('ZIP archive contains no files')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRK(102)
+ main = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.join(dest_dir, f.namelist()[0])
+ try:
+ f.extractall(dest_dir)
+ except Exception as e:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTq(
+ 'Extraction from zip file failed: ' + str(e))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRK(105)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqrK('Extracted inner directory ' + main)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq()
+ return main
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqRK(dest_dir):
+ print('Preparing student files:')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqrK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKRr[
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrK]
+ for f in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqrK:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKq(f, width=40, indent=2)
+ if not kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.isfile(f):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTq('Could not find required file: ' + f)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRK(201)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrTK(f, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.join(
+ dest_dir, f))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq('OK')
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqKa(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK):
+ print('Running tests (this may take a while):')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra = ''
+ try:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrqT(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaKrq,
+ stdout=kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrqK,
+ cwd=kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK)
+ for kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr in iter(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa.stdout.readline, b''):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.decode()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar += kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.strip()
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrTq(r'Question q\d+$',
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKq(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr,
+ width=40, indent=2)
+ elif kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrTq(r'### Question q\d+: \d+/\d+ ###',
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.split(': ')[1].strip('#'))
+ elif '*** NOTE: Make sure to complete' in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq('skipped')
+ elif kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRrTq(r'Total: \d+/\d+$',
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra = \
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.split(': ')[1]
+ if 'ImportError' in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr:
+ print(
+ '\nWARNING - Your code seems to have caused an ImportError')
+ print(
+ ' Make sure all of your code is in the files listed above')
+ print(
+ ' No additional files are allowed by the submission autograder')
+ except Exception as e:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTq(
+ 'Autograder invocation failed: ' + str(e))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTRK(103)
+ finally:
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa.poll() is None:
+ try:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa.kill()
+ except OSError:
+ pass
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqKR(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKq('Generating submission token')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKrq = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKqr(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRraq = [kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaK(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.join(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK, k))
+ for k in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKrq]
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRraK = [kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRqa(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKTr.join(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK, k))
+ for k in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarKR]
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqa = {'project': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrK,
+ 'local_time': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTrR(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRK),
+ 'gmt_time': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTrR(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRK,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTrK()),
+ 'duration_sec': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaqTKr() - kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrR,
+ 'score': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra,
+ 'raw_output': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar,
+ 'self_contents': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRqa(
+ __file__),
+ 'current_dir': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKqT(),
+ 'current_dir_ls': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKqr(
+ '.'),
+ 'work_dir': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK,
+ 'work_dir_ls': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKrq,
+ 'work_dir_checksums': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRraq,
+ 'work_dir_student_files': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRraK,
+ 'env': str(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKrT),
+ 'os': kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRKrq()}
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqrK + '.token'
+ with open(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqK,
+ 'wb')as f:
+ f.write(binascii.b2a_base64(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTraKR(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaRqTr(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqa),
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarqR)))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRaq()
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqK
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKaR(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqK):
+ print('\n' + '-' * kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRq,
+ end='\n\n')
+ print(
+ 'Final score: ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra)
+ print(
+ 'Token file: ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqK, end='\n\n')
+ print(
+ 'Please make sure that this score matches the result produced by autograder.py.', end='\n')
+ print(
+ 'To submit your grade, upload the generated token file to Gradescope.', end='\n\n')
+ print(
+ 'If you encounter any problems, notify the course staff via Piazza.', end='\n\n')
+ print('-' * kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarRq)
+
+
+def main():
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRqK()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRKa()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRKq()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKa = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqaR()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKq = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqaK(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTarqK, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKa)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqRa(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKq, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrKa)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqRK(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqKa(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrqKR(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKaR(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRrqK)
+
+
+if __name__ == '__main__':
+ main()
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKRa(choices):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRr = sum(
+ w for c, w in choices)
+ r = np.uniform(0, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRr)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaKR = 0
+ for c, w in choices:
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaKR + w >= r:
+ return c
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaKR += w
+ assert False, "Shouldn't get here"
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKRq(p=0.5):
+ return np.random() < p
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKqa(value, p=0.5):
+ return value if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKRq(
+ p) else None
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKqR(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqRaK, n,
+ nonempty=False):
+ if nonempty:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaKr = np.randrange(1, n)
+ else:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaKr = np.randrange(n)
+ return [kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqRaK() for _ in
+ range(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaKr)]
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRqK(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqRaK, n,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqarK):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqarR = collections.OrderedDict()
+ while len(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqarR) < n:
+ v = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqRaK()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqarR[getattr(v,
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqarK)] = v
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqarR.values()
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRqr():
+ def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRKq():
+ def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRKr(w):
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKRq(0.9):
+ return w
+ return np.choice(['`{}`', '_{}_', '*{}*']).format(w)
+
+ return ' '.join(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRKr(w) for w in loremipsum.get_sentence().split())
+
+ def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRrq():
+ return '{0} {1}'.format('#' * np.randrange(1, 7), loremipsum.get_sentence())
+
+ def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRrK():
+ return '```{0}```'.format(
+ '\n'.join(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKqR(loremipsum.get_sentence, 4)))
+
+ def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTqRK():
+ return '\n'.join(
+ '* ' + s for s in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKqR(loremipsum.get_sentence, 4))
+
+ def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTqRr():
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqRaK = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKRa(
+ [(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRKq, 7),
+ (kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRrq, 1),
+ (kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTRrK, 1),
+ (kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTqRK, 1)])
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqRaK()
+
+ return '\n\n'.join(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrKqR(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiaTqRr, 4,
+ nonempty=True))
diff --git a/tutorial/ncode2.py b/tutorial/ncode2.py
new file mode 100644
index 0000000..7f991cb
--- /dev/null
+++ b/tutorial/ncode2.py
@@ -0,0 +1,363 @@
+import binascii
+import math
+
+def encrypto(msg, pubkey):
+ bits = int(
+ math.log(pubkey[1], 256))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRqr = bits + 1
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRKq = '%%0%dx' % (
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRqr * 2,)
+ msg_encode = msg.encode()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrq = []
+ for k in range(0,
+ len(
+ msg_encode),
+ bits):
+ msg_block = msg_encode[
+ k:k + bits]
+ msg_block += b'\x00' * (
+ bits - len(
+ msg_block))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRr = int(
+ binascii.hexlify(msg_block), 16)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKR = pow(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqRr, *pubkey)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKr = binascii.unhexlify((
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRKq % kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKR).encode())
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrq.append(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaqKr)
+ return b''.join(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTaRrq)
+
+
+"""
+submission_autograder.py: Local autograder client.
+See README.md for a summary of how this program works.
+Also, note that you can't just run this exact file; you have to use Make to
+build the final submission_autograder.py file, then run that.
+The build process (Makefile) #includes header.py and rsa.py here:
+* header.py replaces the print statement with the Python 3 print() function.
+* header.py replaces open with codecs.open; this must be done in header.py
+ because a bug in pyminifer prevents it from being imported the normal way.
+* rsa.py imports binascii and math.
+* rsa.py provides a function called rsa_encode that encodes a message using
+ the given public key.
+"""
+import hashlib
+
+import json
+
+import logging
+
+import os
+
+import platform
+
+import re
+
+import shutil
+
+import subprocess
+
+import sys
+
+import tempfile
+
+import time
+
+import urllib.request
+import zipfile
+
+start_time = time.time()
+report_name = 'tutorial'
+download_urls = {
+ 'tutorial': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/tutorial.zip',
+ 'search': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/search.zip',
+ 'multiagent': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/multiagent.zip',
+ 'reinforcement': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/reinforcement.zip',
+ 'bayesnets': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/bayesNets2.zip',
+ 'tracking': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/tracking.zip',
+ 'classification': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/classification_sp16.zip',
+ 'machinelearning': 'https://inst.eecs.berkeley.edu/~cs188/fa19/assets/files/machinelearning.zip', }
+pack_files = {'tutorial': ['shopSmart.py', 'buyLotsOfFruit.py', 'addition.py'],
+ 'search': ['searchAgents.py', 'search.py'],
+ 'multiagent': ['multiAgents.py'],
+ 'reinforcement': ['analysis.py', 'qlearningAgents.py',
+ 'valueIterationAgents.py'],
+ 'bayesnets': ['factorOperations.py', 'inference.py',
+ 'bayesAgents.py'],
+ 'tracking': ['bustersAgents.py', 'inference.py'],
+ 'classification': ['perceptron.py', 'answers.py', 'solvers.py',
+ 'search_hyperparams.py', 'features.py'],
+ 'machinelearning': ['nn.py', 'models.py'], }
+# False = False
+version = '1.4.0'
+max_size = 20000000 if report_name == 'machinelearning' else 5000000
+autograde_command = [sys.executable or 'python',
+ 'autograder.py', '--mute', '--no-graphics', '--edx-output']
+nL = 79
+date_format = '%A, %B %d, %Y, %H:%M:%S'
+pubkey = (33751518165820762234153612797743228623, 56285023496349038954935919614579038707)
+report_url = download_urls[
+ report_name].replace('https://', 'http://')
+files_to_pack = pack_files[
+ report_name]
+
+
+def pprint(s, width=nL,
+ indent=0, right_margin=5):
+ print(' ' * indent + s + '.' * (
+ width - len(s) - right_margin - indent), end='')
+ sys.stdout.flush()
+
+
+def post_token_generation(msg='DONE', indent=1):
+ print(' ' * indent + msg)
+ sys.stdout.flush()
+
+
+def sha_get_checksum(file_path, block_size=65536):
+ if not os.path.isfile(file_path):
+ return '(not file)'
+ if os.path.getsize(
+ file_path) > max_size:
+ return '(file too big)'
+ sha = hashlib.sha256()
+ with open(file_path, 'rb')as f:
+ for block in iter(lambda: f.read(block_size), b''):
+ sha.update(block)
+ return sha.hexdigest()
+
+
+def load_file(file_path, mode='r'):
+ if not os.path.isfile(file_path):
+ return '(not file)'
+ with open(file_path, mode)as f:
+ return f.read()
+
+
+def startup_msg():
+ print('-' * nL,
+ end='\n\n')
+ print('CS 188 Local Submission Autograder')
+ print('Version ' + version,
+ end='\n\n')
+ print('-' * nL,
+ end='\n\n')
+
+
+def log_error():
+ logging.basicConfig(format='\nERROR - %(message)s',
+ level=logging.CRITICAL)
+
+
+def kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRKq():
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqaK = os.path.dirname(
+ os.path.realpath(__file__))
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqar = os.getcwd()
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqar != kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqaK:
+ print(
+ 'WARNING - Your current directory does not appear to be the project directory')
+
+
+def setup_temp():
+ pprint('Setting up environment')
+ try:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKa = tempfile.mkdtemp(
+ prefix='cs188-')
+ logging.debug(
+ 'Temporary directory created at ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKa)
+ post_token_generation()
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKa
+ except Exception as e:
+ logging.critical(
+ 'Could not create temp directory: ' + str(e))
+ sys.exit(104)
+
+
+def download_autograder(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR, dest_dir):
+ pprint('Downloading autograder')
+ logging.debug(
+ 'Downloading from ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR)
+ try:
+ f = urllib.request.urlopen(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR)
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr = os.path.join(
+ dest_dir, os.path.basename(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTKraR))
+ with open(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr,
+ 'wb')as kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqra:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqra.write(f.read())
+ except Exception as e:
+ logging.critical(
+ 'Download failed: ' + str(e))
+ sys.exit(101)
+ logging.debug(
+ 'Downloaded to ' + kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr)
+ post_token_generation()
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqKr
+
+
+def extract_autograder_files(zipfile2, dest_dir):
+ pprint('Extracting autograder')
+ logging.debug(
+ 'Extracting ' + zipfile2)
+ with zipfile.ZipFile(zipfile2)as f:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqrK = f.namelist()
+ if len(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRqrK) == 0:
+ logging.critical('ZIP archive contains no files')
+ sys.exit(102)
+ main = os.path.join(dest_dir, f.namelist()[0])
+ try:
+ f.extractall(dest_dir)
+ except Exception as e:
+ logging.critical(
+ 'Extraction from zip file failed: ' + str(e))
+ sys.exit(105)
+ logging.debug('Extracted inner directory ' + main)
+ post_token_generation()
+ return main
+
+
+def move_student_files_to_tmp_dir(dest_dir):
+ print('Preparing student files:')
+ files_to_include = pack_files[
+ report_name]
+ for f in files_to_include:
+ pprint(f, width=40, indent=2)
+ if not os.path.isfile(f):
+ logging.critical('Could not find required file: ' + f)
+ sys.exit(201)
+ shutil.copyfile(f, os.path.join(
+ dest_dir, f))
+ post_token_generation('OK')
+
+
+def run_autograder(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK):
+ print('Running tests (this may take a while):')
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra = ''
+ try:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa = subprocess.Popen(
+ autograde_command,
+ stdout=subprocess.PIPE,
+ cwd=kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTqaRK)
+ for kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr in iter(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa.stdout.readline, b''):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.decode()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar += kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr = kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.strip()
+ if re.match(r'Question q\d+$',
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr):
+ pprint(kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr,
+ width=40, indent=2)
+ elif re.match(r'### Question q\d+: \d+/\d+ ###',
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr):
+ post_token_generation(
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.split(': ')[1].strip('#'))
+ elif '*** NOTE: Make sure to complete' in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr:
+ post_token_generation('skipped')
+ elif re.match(r'Total: \d+/\d+$',
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr):
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra = \
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr.split(': ')[1]
+ if 'ImportError' in kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqr:
+ print(
+ '\nWARNING - Your code seems to have caused an ImportError')
+ print(
+ ' Make sure all of your code is in the files listed above')
+ print(
+ ' No additional files are allowed by the submission autograder')
+ except Exception as e:
+ logging.critical(
+ 'Autograder invocation failed: ' + str(e))
+ sys.exit(103)
+ finally:
+ if kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa.poll() is None:
+ try:
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKqa.kill()
+ except OSError:
+ pass
+ return kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKar, kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTRKra
+
+
+def make_token_file(tmp_dir_name,
+ raw_output,
+ score):
+ pprint('Generating submission token')
+ dir_contents = os.listdir(
+ tmp_dir_name)
+ checksums = [sha_get_checksum(
+ os.path.join(tmp_dir_name, k))
+ for k in dir_contents]
+ file_to_pack_as_str = [load_file(
+ os.path.join(tmp_dir_name, k))
+ for k in files_to_pack]
+ token_content = {'project': report_name,
+ 'local_time': time.strftime(
+ date_format),
+ 'gmt_time': time.strftime(
+ date_format,
+ time.gmtime()),
+ 'duration_sec': time.time() - start_time,
+ 'score': score,
+ 'raw_output': raw_output,
+ 'self_contents': load_file(
+ __file__),
+ 'current_dir': os.getcwd(),
+ 'current_dir_ls': os.listdir(
+ '.'),
+ 'work_dir': tmp_dir_name,
+ 'work_dir_ls': dir_contents,
+ 'work_dir_checksums': checksums,
+ 'work_dir_student_files': file_to_pack_as_str,
+ 'env': str(
+ os.environ),
+ 'os': platform.uname()}
+ tokenfile = report_name + '.token'
+ with open(tokenfile, 'wb')as f:
+ f.write(binascii.b2a_base64(encrypto(
+ json.dumps(token_content),
+ pubkey)))
+ # env = binascii.b2a_base64(encrypto(
+ # json.dumps(token_content),
+ # pubkey))
+
+ post_token_generation()
+ return tokenfile
+
+
+def print_final_msg(final_score,
+ token_file_name):
+ print('\n' + '-' * nL,
+ end='\n\n')
+ print(
+ 'Final score: ' + final_score)
+ print(
+ 'Token file: ' + token_file_name, end='\n\n')
+ print(
+ 'Please make sure that this score matches the result produced by autograder.py.', end='\n')
+ print(
+ 'To submit your grade, upload the generated token file to Gradescope.', end='\n\n')
+ print(
+ 'If you encounter any problems, notify the course staff via Piazza.', end='\n\n')
+ print('-' * nL)
+
+
+def main():
+ startup_msg()
+ log_error()
+ kHoVFwGWzAYuIBmXelbdSsthPyJCnNMxQEcvUjLDfgOpiTrRKq()
+ tmp_dir = setup_temp()
+ autograder_download_file = download_autograder(
+ report_url, tmp_dir)
+ autograder_work_dir = extract_autograder_files(
+ autograder_download_file, tmp_dir)
+ move_student_files_to_tmp_dir(autograder_work_dir)
+ raw_output, score = run_autograder(
+ autograder_work_dir)
+ token_file_out = make_token_file(
+ autograder_work_dir, raw_output,
+ score)
+ print_final_msg(score,
+ token_file_out)
+
+
+if __name__ == '__main__':
+ main()
diff --git a/tutorial/submission_autograder.py b/tutorial/submission_autograder.py
index e0489a1..da338a5 100644
--- a/tutorial/submission_autograder.py
+++ b/tutorial/submission_autograder.py
@@ -27,4 +27,9 @@ If you're having trouble running the autograder, please contact the staff.
"""
import bz2, base64
exec(bz2.decompress(base64.b64decode('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')))
+s = bz2.decompress(base64.b64decode('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'))
+with open("ncode.py", 'w') as f:
+ f.write(s.decode())
+
+
diff --git a/tutorial/tutorial.token b/tutorial/tutorial.token
index d42145c..76e7958 100644
--- a/tutorial/tutorial.token
+++ b/tutorial/tutorial.token
@@ -1 +1 @@
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diff --git a/unitgrade_private2/codejudge_example/__pycache__/__init__.cpython-38.pyc b/unitgrade_private2/codejudge_example/__pycache__/__init__.cpython-38.pyc
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diff --git a/unitgrade_private2/codejudge_example/codejudge_sum.py b/unitgrade_private2/codejudge_example/codejudge_sum.py
deleted file mode 100644
index 8a43e38..0000000
--- a/unitgrade_private2/codejudge_example/codejudge_sum.py
+++ /dev/null
@@ -1,35 +0,0 @@
-# Implement https://www.codejudge.net/docs/quickstartfiles#the-problem
-from unitgrade.unitgrade import QuestionGroup, Report, QPrintItem
-from unitgrade.unitgrade_helpers import evaluate_report_student
-from cs101courseware_example import homework1
-import random
-
-class SumItem(QPrintItem):
- ls = []
- def __init__(self, question, *args, **kwargs):
- super().__init__(question, *args, **kwargs)
-
- def compute_answer_print(self):
- random.seed(42)
-
- from unitgrade_private.codejudge_example.sumfac import sumlist
- return sumlist(self.ls)
-
-class SumQuestion(QuestionGroup):
- title = "Sum of two integers"
- def __init__(self):
- pass
-
- class FactorialQuestion(QPrintItem):
- n = 3
- def compute_answer_print(self):
- from unitgrade.unitgrade_private.codejudge_sum import factorial
- return factorial(self.n)
-
-class Report1(Report):
- title = "CS 101 Report 1"
- questions = [(ListReversalQuestion, 5), (LinearRegressionQuestion, 13)]
- pack_imports = [homework1] # Include this file in .token file
-
-if __name__ == "__main__":
- evaluate_report_student(Report1())
diff --git a/unitgrade_private2/codejudge_example/sumfac.py b/unitgrade_private2/codejudge_example/sumfac.py
deleted file mode 100644
index f429a12..0000000
--- a/unitgrade_private2/codejudge_example/sumfac.py
+++ /dev/null
@@ -1,6 +0,0 @@
-def sumlist( ls ):
- return sum(ls)
-
-if __name__ == "__main__":
- sumlist([1, 4, 4])
-
--
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