Installed modules on `teach.cs.toronto.edu` ($python3 -m pip freeze > requirement.txt). For last year's (python 3.8) use $python3.8 -m pip freeze

wolf_requirements.txt

astroid==2.7.3
attrs==20.3.0
certifi==2020.12.5
chardet==4.0.0
click==8.0.1
colorama==0.4.4
conllu==4.4.1
filelock==3.0.12
funcparserlib==0.3.6
huggingface-hub==0.0.17
hypothesis==5.49.0
idna==2.10
iniconfig==1.1.1
isort==4.3.21
Jinja2==2.11.2
joblib==1.0.1
lazy-object-proxy==1.4.3
MarkupSafe==1.1.1
mccabe==0.6.1
nltk==3.6.3
numpy==1.21.2
packaging==21.0
pandas==1.3.4
platformdirs==2.3.0
plotly==4.14.3
pluggy==0.13.1
psycopg2-binary<=2.9.3
py==1.10.0
pycodestyle==2.6.0
pygame==2.0.1
Pygments==2.7.3
pylint==2.10.2
pyparsing==2.4.7
pytest==6.2.2
python-dateutil==2.8.2
python-ta==2.0.0
pytz==2021.3
PyYAML==5.4.1
regex==2021.8.28
requests==2.25.1
retrying==1.3.3
sacremoses==0.0.45
six==1.15.0
sortedcontainers==2.3.0
tokenizers==0.10.3
toml==0.10.2
torch==1.9.1
tqdm==4.62.3
transformers==4.10.2
typeguard==2.10.0
typing-extensions==3.10.0.2
urllib3==1.26.2
wrapt==1.12.1

Create a local environment mimicking wolf :
N.B. there are myriad ways for env setup, this is just 1 of them (local os: Ubuntu 18.04LTS)

1. Download the wolf_requirements.txt
2. Install conda, then pip install the modules using the snippet below:

$ conda create -n cs401 python=3.9.7
$ conda activate cs401
$ pip install -U --no-cache-dir -r wolf_requirements.txt