Created
January 13, 2023 16:20
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python version: 3.10.6. Installed modules on `teach.cs.toronto.edu` ($python3 -m pip freeze > requirement.txt).
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absl-py==1.1.0 | |
astroid==2.12.13 | |
astunparse==1.6.3 | |
attrs==21.4.0 | |
blis==0.7.8 | |
cachetools==5.2.0 | |
catalogue==2.0.7 | |
certifi==2022.6.15 | |
chardet==5.0.0 | |
charset-normalizer==2.1.0 | |
click==8.1.3 | |
colorama==0.4.5 | |
conllu==4.4.2 | |
cycler==0.11.0 | |
cymem==2.0.6 | |
dill==0.3.5.1 | |
exceptiongroup==1.0.0rc8 | |
filelock==3.7.1 | |
flatbuffers==1.12 | |
fonttools==4.33.3 | |
funcparserlib==1.0.0 | |
future==0.18.2 | |
gast==0.4.0 | |
google-auth==2.9.0 | |
google-auth-oauthlib==0.4.6 | |
google-pasta==0.2.0 | |
grpcio==1.47.0 | |
h5py==3.7.0 | |
huggingface-hub==0.8.1 | |
hypothesis==6.48.1 | |
idna==3.3 | |
iniconfig==1.1.1 | |
iso8601==1.0.2 | |
isort==5.10.1 | |
Jinja2==3.1.2 | |
joblib==1.1.0 | |
keras==2.9.0 | |
Keras-Preprocessing==1.1.2 | |
kiwisolver==1.4.3 | |
langcodes==3.3.0 | |
lazy-object-proxy==1.7.1 | |
libclang==14.0.1 | |
Markdown==3.3.7 | |
MarkupSafe==2.1.1 | |
matplotlib==3.5.2 | |
mccabe==0.7.0 | |
murmurhash==1.0.7 | |
nltk==3.7 | |
nose==1.3.7 | |
numpy==1.23.0 | |
oauthlib==3.2.0 | |
opencv-python==4.6.0.66 | |
opt-einsum==3.3.0 | |
packaging==21.3 | |
pandas==1.4.3 | |
pathy==0.6.1 | |
pexpect==4.8.0 | |
Pillow==9.1.1 | |
platformdirs==2.5.2 | |
plotly==5.9.0 | |
pluggy==1.0.0 | |
preshed==3.0.6 | |
protobuf==3.19.4 | |
psycopg2==2.9.3 | |
ptyprocess==0.7.0 | |
py==1.11.0 | |
pyasn1==0.4.8 | |
pyasn1-modules==0.2.8 | |
pycodestyle==2.8.0 | |
pydantic==1.8.2 | |
pygame==2.1.2 | |
Pygments==2.12.0 | |
pylint==2.15.9 | |
pyparsing==3.0.9 | |
pyserial==3.5 | |
pytest==7.1.2 | |
python-dateutil==2.8.2 | |
python-magic==0.4.27 | |
python-ta==2.4.0 | |
pytz==2022.1 | |
PyYAML==6.0 | |
regex==2022.6.2 | |
requests==2.28.1 | |
requests-oauthlib==1.3.1 | |
retrying==1.3.3 | |
rsa==4.8 | |
sacremoses==0.0.53 | |
scikit-learn==1.1.1 | |
scipy==1.8.1 | |
six==1.16.0 | |
sklearn==0.0 | |
smart-open==5.2.1 | |
sortedcontainers==2.4.0 | |
spacy==3.3.1 | |
spacy-legacy==3.0.9 | |
spacy-loggers==1.0.2 | |
srsly==2.4.3 | |
tabulate==0.8.10 | |
tenacity==8.0.1 | |
tensorboard==2.9.1 | |
tensorboard-data-server==0.6.1 | |
tensorboard-plugin-wit==1.8.1 | |
tensorflow==2.9.1 | |
tensorflow-estimator==2.9.0 | |
tensorflow-io-gcs-filesystem==0.26.0 | |
termcolor==1.1.0 | |
thinc==8.0.17 | |
threadpoolctl==3.1.0 | |
tokenizers==0.12.1 | |
toml==0.10.2 | |
tomli==2.0.1 | |
tomlkit==0.11.0 | |
torch==1.12.1 | |
tqdm==4.64.0 | |
transformers==4.21.3 | |
typeguard==2.13.3 | |
typer==0.4.1 | |
typing_extensions==4.2.0 | |
urllib3==1.26.9 | |
wasabi==0.9.1 | |
Werkzeug==2.1.2 | |
wrapt==1.14.1 |
W24 update
- Renamed requirements file to:
wolf_w24_py_requirements.txt
- Install conda, then pip install the modules using the snippet below:
$ conda create -n cs401_w24 python=3.10.13
$ conda activate cs401_w24
$ pip install -U --no-cache-dir -r wolf_w24_py_requirements.txt
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Create a local environment mimicking wolf :
N.B. there are myriad ways for
env
setup, this is just 1 of them (local os: Ubuntu 20.04LTS)wolf-py310-requirements.txt