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mlforecast and lightgbm registered as part of dev requirement
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.github/workflows/ci.yaml

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@@ -56,7 +56,7 @@ jobs:
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python-version: ${{ matrix.python-version }}
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- name: Install pip requirements
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run: pip install uv && uv pip install --system ".[dev,distributed,nbconvert]"
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run: pip install uv && uv pip install --system ".[dev,distributed]"
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- name: Run tests
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run: pytest --cov=nixtla --reruns 2 --reruns-delay 1 --only-rerun httpx.ConnectError nixtla_tests
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python-version: ${{ matrix.python-version }}
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- name: Install pip requirements
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run: pip install uv && uv pip install --prerelease=allow --system ".[dev,distributed]"
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run: pip install uv && uv pip install --system ".[dev,distributed]"
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- name: Run tests
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run: pytest -m "not distributed_run" --reruns 2 --reruns-delay 1 --only-rerun httpx.ConnectError nixtla_tests

settings.ini

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@@ -19,10 +19,10 @@ requirements = annotated-types httpx[zstd] orjson pandas pydantic>=1.10 tenacity
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dev_requirements = black datasetsforecast fire hierarchicalforecast ipython<=8.32.0 ipywidgets
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jupyterlab nbdev neuralforecast numpy<2 plotly polars pre-commit pyreadr<0.5.3
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python-dotenv pyyaml setuptools<70 statsforecast tabulate shap pytest pytest-cov pytest-rerunfailures
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mlforecast lightgbm
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distributed_requirements = fugue[dask,ray,spark]>=0.8.7 dask<=2024.12.1 pandas<2.2 ray<2.6.3
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plotting_requirements = utilsforecast[plotting]
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date_extra_requirements = holidays pandas_market_calendars
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nbconvert_requirements = mlforecast lightgbm statsforecast neuralforecast hierarchicalforecast
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nbs_path = nbs
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doc_path = _docs
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recursive = True

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