add installs

Author: Samoed

.github/workflows/build-docs.yaml

@@ -49,7 +49,7 @@ jobs:
 
       - name: Install dependencies
         run: |
-          uv sync --group docs
+          uv sync --group docs --all-groups
 
       - name: Run tests
         if: github.event_name != 'workflow_dispatch'

.github/workflows/reusable-test.yaml

@@ -39,7 +39,7 @@ jobs:
     - name: Install dependencies for Python ${{ matrix.python-version }}
       run: |
         uv python pin ${{ matrix.python-version }}
-        uv sync --group test
+        uv sync --group test --all-groups
 
     - name: Run tests
       run: |

tests/pipeline/test_optimization.py

@@ -22,6 +22,7 @@
     ],
 )
 def test_with_regex(dataset, data_config, refit_after):
+    pytest.importorskip("sentence_transformers", reason="Sentence Transformers library is required for regex-based pipelines")
     project_dir = setup_environment()
     search_space = get_search_space("regex")
 
@@ -34,6 +35,8 @@ def test_with_regex(dataset, data_config, refit_after):
 
 
 def test_no_node_separation(dataset_no_oos):
+    pytest.importorskip("sentence_transformers", reason="Sentence Transformers library is required for regex-based pipelines")
+
     project_dir = setup_environment()
     search_space = get_search_space("light")
 
@@ -46,6 +49,8 @@ def test_no_node_separation(dataset_no_oos):
 
 
 def test_full_config(dataset_no_oos):
+    pytest.importorskip("sentence_transformers", reason="Sentence Transformers library is required for regex-based pipelines")
+
     config_path = ires.files("tests.assets.configs").joinpath("full_training.yaml")
     pipeline_optimizer = Pipeline.from_optimization_config(config_path)
     pipeline_optimizer.fit(dataset_no_oos, refit_after=False)
@@ -56,6 +61,8 @@ def test_full_config(dataset_no_oos):
     ["tpe", "random"],
 )
 def test_bayes(dataset, sampler):
+    pytest.importorskip("sentence_transformers", reason="Sentence Transformers library is required for regex-based pipelines")
+
     project_dir = setup_environment()
     search_space = get_search_space("optuna")
 

tests/pipeline/test_presets.py

@@ -23,6 +23,7 @@
     ],
 )
 def test_presets(dataset, preset):
+    pytest.importorskip("sentence_transformers", reason="Sentence Transformers library is required for transformer-based presets")
     project_dir = setup_environment()
 
     pipeline_optimizer = Pipeline.from_preset(preset)