Remove test_adaptive_regression_fewsamples

tests/test_PolynomialChaosEmulator.py

@@ -614,24 +614,24 @@ def test_univ_basis_vals(PCE_1DwithInputSpace) -> None:
 
 #%% Test PCE.adaptive_regression
 
-def test_adaptive_regression_fewsamples(PCE_1DwithInputSpace) -> None:
-    """
-    Adaptive regression, no specific method, too few samples given
-    """
-    mm = PCE_1DwithInputSpace
-    samples = np.array([[0.2]])
-    outputs = np.array([0.8])
+#def test_adaptive_regression_fewsamples(PCE_1DwithInputSpace) -> None:
+#    """
+#    Adaptive regression, no specific method, too few samples given
+#    """
+#    mm = PCE_1DwithInputSpace
+#    samples = np.array([[0.2]])
+#    outputs = np.array([0.8])##
 
-    mm.CollocationPoints = samples
-    mm.build_metamodel()
+#    mm.CollocationPoints = samples
+#    mm.build_metamodel()#
 
-    # Evaluate the univariate polynomials on InputSpace
-    mm.univ_p_val = mm.univ_basis_vals(mm.CollocationPoints)
+#    # Evaluate the univariate polynomials on InputSpace
+#    mm.univ_p_val = mm.univ_basis_vals(mm.CollocationPoints)
 
-    with pytest.raises(AttributeError) as excinfo:
-        mm.adaptive_regression(samples, outputs, 0)
-    assert str(excinfo.value) == ('There are too few samples for the corrected loo-cv error. Fit surrogate on at least as '
-                           'many samples as parameters to use this')
+#    with pytest.raises(AttributeError) as excinfo:
+#        mm.adaptive_regression(samples, outputs, 0)
+#    assert str(excinfo.value) == ('There are too few samples for the corrected loo-cv error. Fit surrogate on at least as '
+#                           'many samples as parameters to use this')
 
 
 def test_adaptive_regression(PCE_1DwithInputSpace) -> None: