fix: build and ci (#45)

.github/workflows/CI.yml

@@ -18,7 +18,7 @@ jobs:
  runs-on: ubuntu-latest
  strategy:
  matrix:
- python-version: [3.8, 3.9, '3.10', 3.11]
+ python-version: ['3.10', 3.11]
  steps:
  - uses: actions/checkout@v3
  - name: Set up Python ${{ matrix.python-version }}

pyproject.toml

@@ -10,14 +10,15 @@ repository = "https:/nicrie/xeofs"
 documentation = "https://xeofs.readthedocs.io/en/latest/"
 
 [tool.poetry.dependencies]
-python = "^3.9"
-numpy = "^1.19.2"
-pandas = "^1.4.1"
+python = ">=3.10"
+numpy = ">=1.19.2"
+pandas = ">=1.4.1"
 xarray = ">=0.21.1"
-scikit-learn = "^1.0.2"
+scikit-learn = ">=1.0.2"
 pooch = "^1.6.0"
 tqdm = "^4.64.0"
 dask = ">=2023.0.1"
+statsmodels = ">=0.14.0"
 
 [tool.poetry.dev-dependencies]
 flake8 = "^4.0.1"

tests/models/test_mca.py

@@ -160,11 +160,11 @@ def test_scores(mca_model, mock_data_array, dim):
 ])
 def test_homogeneous_patterns(mca_model, mock_data_array, dim):
  mca_model.fit(mock_data_array, mock_data_array, dim)
- patterns1, patterns2, pvals1, pvals2 = mca_model.homogeneous_patterns()
- assert isinstance(patterns1, xr.DataArray)
- assert isinstance(patterns2, xr.DataArray)
- assert isinstance(pvals1, xr.DataArray)
- assert isinstance(pvals2, xr.DataArray)
+ patterns, pvals = mca_model.homogeneous_patterns()
+ assert isinstance(patterns[0], xr.DataArray)
+ assert isinstance(patterns[1], xr.DataArray)
+ assert isinstance(pvals[0], xr.DataArray)
+ assert isinstance(pvals[1], xr.DataArray)
 
 
 @pytest.mark.parametrize('dim', [
@@ -174,11 +174,11 @@ def test_homogeneous_patterns(mca_model, mock_data_array, dim):
 ])
 def test_heterogeneous_patterns(mca_model, mock_data_array, dim):
  mca_model.fit(mock_data_array, mock_data_array, dim)
- patterns1, patterns2, pvals1, pvals2 = mca_model.heterogeneous_patterns()
- assert isinstance(patterns1, xr.DataArray)
- assert isinstance(patterns2, xr.DataArray)
- assert isinstance(pvals1, xr.DataArray)
- assert isinstance(pvals2, xr.DataArray)
+ patterns, pvals = mca_model.heterogeneous_patterns()
+ assert isinstance(patterns[0], xr.DataArray)
+ assert isinstance(patterns[1], xr.DataArray)
+ assert isinstance(pvals[0], xr.DataArray)
+ assert isinstance(pvals[1], xr.DataArray)
 
 
 @pytest.mark.parametrize('dim', [