Bump minimal scipy version to 1.11.1

pyproject.toml

@@ -4,12 +4,12 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "tabpfn"
-version = "2.0.5"
+version = "2.0.6"
 dependencies = [
   "torch>=2.1,<3",
   "scikit-learn>=1.2.0,<1.7",
   "typing_extensions>=4.4.0",
-  "scipy>=1.7.3,<2",
+  "scipy>=1.11.1,<2",
   "pandas>=1.4.0,<3",
   "einops>=0.2.0,<0.9",
   "huggingface-hub>=0.0.1,<1",

tests/test_regressor_interface.py

@@ -306,3 +306,18 @@ def test_get_embeddings(X_y: tuple[np.ndarray, np.ndarray], data_source: str) ->
     assert embeddings.shape[0] == n_estimators
     assert embeddings.shape[1] == X.shape[0]
     assert embeddings.shape[2] == encoder_shape
+
+
+def test_overflow():
+    """Test which fails for scipy<1.11.0."""
+    # Fetch a small sample of the California housing dataset
+    X, y = sklearn.datasets.fetch_california_housing(return_X_y=True)
+    X, y = X[:20], y[:20]
+
+    # Create and fit the regressor
+    regressor = TabPFNRegressor(n_estimators=1, device="cpu", random_state=42)
+
+    regressor.fit(X, y)
+
+    predictions = regressor.predict(X)
+    assert predictions.shape == (X.shape[0],), "Predictions shape is incorrect"