removed unnecessary test

Author: SvenKlaassen

doubleml/plm/tests/test_model_defaults.py

@@ -17,35 +17,3 @@ def test_lplr_defaults():
     _fit_bootstrap(dml_lplr_obj)
 
     _check_basic_defaults_after_fit(dml_lplr_obj)
-
-
-@pytest.mark.ci
-def test_did_multi_str():
-    # Test the string representation before fitting
-    dml_str = str(dml_lplr_obj)
-
-    # Check that all important sections are present
-    assert "================== DoubleMLLPLR Object ==================" in dml_str
-    assert "------------------ Data Summary      ------------------" in dml_str
-    assert "------------------ Score & Algorithm ------------------" in dml_str
-    assert "------------------ Machine Learner   ------------------" in dml_str
-    assert "------------------ Resampling        ------------------" in dml_str
-    assert "------------------ Fit Summary       ------------------" in dml_str
-
-    # Check specific content before fitting
-    assert "No. folds: 5" in dml_str
-    assert "No. repeated sample splits: 1" in dml_str
-    assert "Learner ml_M:" in dml_str
-    assert "Learner ml_m:" in dml_str
-    assert "Learner ml_t:" in dml_str
-
-    # Fit the model
-    dml_lplr_obj_fit = dml_lplr_obj.fit()
-    dml_str_after_fit = str(dml_lplr_obj_fit)
-
-    # Check that additional information is present after fitting
-    assert "coef" in dml_str_after_fit
-    assert "std err" in dml_str_after_fit
-    assert "t" in dml_str_after_fit
-    assert "P>|t|" in dml_str_after_fit
-    assert "Out-of-sample Performance:" in dml_str_after_fit