Add: fixture test

Author: aricohen93

changelog.md

@@ -5,6 +5,7 @@
 ### Added
 - New `edsnlp.external_information_qualifier` qualifies spans in a document based on external information and a defined distance to these contextual/external elements as in Distant Supervision.
 - New `eds.contextual_qualifier` pipeline component to qualify spans based on contextual information.
+- Add the fixture `edsnlp_blank_nlp` for the test.
 - `edsnlp/tune.py`: New hyperparameters tuning script.
 - Hyperparameter Tuning for EDS-NLP: Introduced a new script `edsnlp.tune` for hyperparameter tuning using Optuna. This feature allows users to efficiently optimize model parameters with options for single-phase or two-phase tuning strategies. Includes support for parameter importance analysis, visualization, pruning, and automatic handling of GPU time budgets.
 - `tests/tuning/test_tuning.py`: Unit tests for the tuning script.

tests/conftest.py

@@ -52,6 +52,16 @@ def blank_nlp(lang):
     return model
 
 
+@fixture
+def edsnlp_blank_nlp(lang):
+    if lang == "eds":
+        model = edsnlp.blank("eds")
+    else:
+        model = edsnlp.blank("fr")
+    model.add_pipe("eds.sentences")
+    return model
+
+
 def make_ml_pipeline():
     nlp = edsnlp.blank("eds")
     nlp.add_pipe("eds.sentences", name="sentences")