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tox setup + env as requirements file
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name: Test notebooks | ||
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on: | ||
- push | ||
- pull_request | ||
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jobs: | ||
build: | ||
runs-on: ubuntu-latest | ||
strategy: | ||
matrix: | ||
python-version: ["3.12"] | ||
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steps: | ||
- uses: actions/checkout@v4 | ||
- name: Set up Python ${{ matrix.python-version }} | ||
uses: actions/setup-python@v5 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
- name: Install dependencies | ||
run: | | ||
python -m pip install --upgrade pip | ||
pip install tox tox-gh-actions | ||
- name: Test notebooks with tox | ||
run: tox -e testnb |
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appdirs==1.4.4 | ||
appnope==0.1.4 | ||
asttokens==2.4.1 | ||
attrs==23.2.0 | ||
beautifulsoup4==4.12.3 | ||
branca==0.7.1 | ||
certifi==2024.2.2 | ||
charset-normalizer==3.3.2 | ||
click==8.1.7 | ||
cmdstanpy==1.2.2 | ||
comm==0.2.2 | ||
contourpy==1.2.1 | ||
cycler==0.12.1 | ||
debugpy==1.8.1 | ||
decorator==5.1.1 | ||
et-xmlfile==1.1.0 | ||
executing==2.0.1 | ||
fastjsonschema==2.19.1 | ||
folium==0.16.0 | ||
fonttools==4.51.0 | ||
frozendict==2.4.2 | ||
gensim==4.3.2 | ||
gurobi-machinelearning==1.5.0 | ||
gurobipy==11.0.1 | ||
gurobipy-pandas==1.1.1 | ||
holidays==0.47 | ||
html5lib==1.1 | ||
idna==3.7 | ||
importlib_resources==6.4.0 | ||
iniconfig==2.0.0 | ||
ipykernel==6.29.4 | ||
ipython==8.23.0 | ||
ipywidgets==8.1.2 | ||
jedi==0.19.1 | ||
Jinja2==3.1.3 | ||
joblib==1.4.0 | ||
jsonschema==4.21.1 | ||
jsonschema-specifications==2023.12.1 | ||
jupyter_client==8.6.1 | ||
jupyter_core==5.7.2 | ||
jupyterlab_widgets==3.0.10 | ||
kiwisolver==1.4.5 | ||
lightfm==1.17 | ||
lxml==5.2.1 | ||
MarkupSafe==2.1.5 | ||
matplotlib==3.8.4 | ||
matplotlib-inline==0.1.7 | ||
multitasking==0.0.11 | ||
names==0.3.0 | ||
nbclient==0.6.8 | ||
nbformat==5.10.4 | ||
nest-asyncio==1.6.0 | ||
networkx==3.3 | ||
nltk==3.8.1 | ||
numpy==1.26.4 | ||
openpyxl==3.1.2 | ||
packaging==24.0 | ||
pandas==2.2.2 | ||
parso==0.8.4 | ||
patsy==0.5.6 | ||
peewee==3.17.3 | ||
pexpect==4.9.0 | ||
pillow==10.3.0 | ||
platformdirs==4.2.1 | ||
plotly==5.21.0 | ||
pluggy==1.5.0 | ||
prompt-toolkit==3.0.43 | ||
prophet==1.1.5 | ||
psutil==5.9.8 | ||
ptyprocess==0.7.0 | ||
pure-eval==0.2.2 | ||
pydot==2.0.0 | ||
Pygments==2.17.2 | ||
pyparsing==3.1.2 | ||
python-dateutil==2.9.0.post0 | ||
pytz==2024.1 | ||
pyzmq==26.0.2 | ||
referencing==0.35.0 | ||
regex==2024.4.16 | ||
requests==2.31.0 | ||
rpds-py==0.18.0 | ||
scikit-learn==1.4.2 | ||
scipy==1.12.0 | ||
seaborn==0.13.2 | ||
six==1.16.0 | ||
smart-open==7.0.4 | ||
soupsieve==2.5 | ||
stack-data==0.6.3 | ||
stanio==0.5.0 | ||
statsmodels==0.14.2 | ||
tenacity==8.2.3 | ||
threadpoolctl==3.4.0 | ||
tornado==6.4 | ||
tqdm==4.66.2 | ||
traitlets==5.14.3 | ||
typing_extensions==4.11.0 | ||
tzdata==2024.1 | ||
urllib3==2.2.1 | ||
wcwidth==0.2.13 | ||
webencodings==0.5.1 | ||
widgetsnbextension==4.0.10 | ||
wordcloud==1.9.3 | ||
wrapt==1.16.0 | ||
xgboost==2.0.3 | ||
xyzservices==2024.4.0 | ||
yfinance==0.2.38 |
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# in multiple virtualenvs. This configuration file will run the | ||
# test suite on all supported python versions. To use it, "pip install tox" | ||
# and then run "tox" from this directory. | ||
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[tox] | ||
envlist = testnb | ||
isolated_build = True | ||
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[gh-actions] | ||
python = | ||
3.12: py312 | ||
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[testenv:testnb] | ||
deps = | ||
pytest | ||
nbmake | ||
-rrequirements_test.txt | ||
commands = | ||
python -m pip install --upgrade pip setuptools wheel | ||
pytest --nbmake --nbmake-kernel=python3 --nbmake-timeout=2000 \ | ||
./3d_tic_tac_toe/3d_tic_tac_toe.ipynb \ | ||
./agricultural_pricing/agricultural_pricing.ipynb \ | ||
./aviation_planning/airlineplanning.ipynb \ | ||
./burrito_optimization_game/burrito_optimization_game.ipynb \ | ||
./car_rental/car_rental_1.ipynb \ | ||
./car_rental/car_rental_2.ipynb \ | ||
./cell_tower_coverage/cell_tower.ipynb \ | ||
./colgen-cutting_stock/colgen-cutting_stock.ipynb \ | ||
./constraint_optimization/constraint_optimization.ipynb \ | ||
./covid19_facility_location/covid19_facility_location.ipynb \ | ||
./curve_fitting/curve_fitting.ipynb \ | ||
./customer_assignment/customer_assignment.ipynb \ | ||
./decentralization_planning/decentralization_planning.ipynb \ | ||
./drone_network/drone_network.ipynb \ | ||
./economic_planning/economic_planning.ipynb \ | ||
./efficiency_analysis/efficiency_analysis.ipynb \ | ||
./electrical_power_generation/electrical_power_1.ipynb \ | ||
./electrical_power_generation/electrical_power_2.ipynb \ | ||
./facility_location/facility_location.ipynb \ | ||
./factory_planning/factory_planning_1.ipynb \ | ||
./factory_planning/factory_planning_2.ipynb \ | ||
./fantasy_basketball/fantasy_basketball_part1.ipynb \ | ||
./fantasy_basketball/fantasy_basketball_part2.ipynb \ | ||
./farm_planning/farm_planning.ipynb \ | ||
./food_manufacturing/food_manufacture_1.ipynb \ | ||
./food_manufacturing/food_manufacture_2.ipynb \ | ||
./gurobi_days_digital_2023/intro_to_gurobipy/intro_to_gurobipy.ipynb \ | ||
./linear_regression/l0_regression.ipynb \ | ||
./logical_design/logical_design.ipynb \ | ||
./lost_luggage_distribution/lost_luggage_distribution.ipynb \ | ||
./manpower_planning/manpower_planning.ipynb \ | ||
./market_sharing/market_sharing.ipynb \ | ||
./marketing_campaign_optimization/marketing_campaign_optimization.ipynb \ | ||
./milk_collection/milk_collection.ipynb \ | ||
./milp_tutorial/introduction_to_modeling.ipynb \ | ||
./milp_tutorial/milp_tutorial_RAP_problem_001.ipynb \ | ||
./milp_tutorial/milp_tutorial_RAP_problem_002.ipynb \ | ||
./milp_tutorial/milp_tutorial_RAP_problem_003.ipynb \ | ||
./mining/mining.ipynb \ | ||
./music_recommendation/music_recommendation.ipynb \ | ||
./offshore_wind_farming/offshore_wind_farming.ipynb \ | ||
./opencast_mining/opencast_mining.ipynb \ | ||
./optimization101/Modeling_Session_1/completed_modeling1.ipynb \ | ||
./optimization101/Modeling_Session_2/completed_Exercise_Set2.ipynb \ | ||
./optimization101/Modeling_Session_2/completed_modeling2.ipynb \ | ||
./optimization101/Modeling_Session_2/energy_storage_ML.ipynb \ | ||
./optimization201/Modeling_Session_1/completed_modeling1.ipynb \ | ||
./optimization201/Modeling_Session_2/completed_modeling2.ipynb \ | ||
./optimization201/technician_assignment/resource_assignment_complete.ipynb \ | ||
./optimization201/technician_assignment/technician_routing.ipynb \ | ||
./pooling/std_pooling.ipynb \ | ||
./portfolio_selection_optimization/portfolio_selection_optimization.ipynb \ | ||
./power_generation/optimize_power_schedule.ipynb \ | ||
./price_optimization/price_optimization.ipynb \ | ||
./price_optimization/price_optimization_gurobiML.ipynb \ | ||
./pricing_competing_products/generate_data.ipynb \ | ||
./pricing_competing_products/price_optimization_with_competing_products.ipynb \ | ||
./protein_comparison/protein_comparison.ipynb \ | ||
./protein_folding/protein_folding.ipynb \ | ||
./refinery/refinery.ipynb \ | ||
./supply_network_design/supply_network_design_1.ipynb \ | ||
./supply_network_design/supply_network_design_2.ipynb \ | ||
./technician_routing_scheduling/technician_routing_scheduling.ipynb \ | ||
./text_dissimilarity/text_dissimilarity.ipynb \ | ||
./traveling_salesman/tsp.ipynb \ | ||
./workforce/workforce_scheduling.ipynb \ | ||
./yield_management/yield_management.ipynb |