Removed abstract causal test case + pylint

Author: jmafoster1

causal_testing/generation/__init__.py

@@ -87,11 +87,10 @@ def setup(self, scenario: Scenario, ignore_cycles=False):
             )
         self._populate_metas()
 
-    def run_json_tests(self, effects: dict, estimators: dict, f_flag: bool = False, mutates: dict = None):
+    def run_json_tests(self, effects: dict, estimators: dict, f_flag: bool = False):
         """Runs and evaluates each test case specified in the JSON input
 
         :param effects: Dictionary mapping effect class instances to string representations.
-        :param mutates: Dictionary mapping mutation functions to string representations.
         :param estimators: Dictionary mapping estimator classes to string representations.
         :param f_flag: Failure flag that if True the script will stop executing when a test fails.
         """

causal_testing/generation/abstract_causal_test_case.py

@@ -83,15 +83,9 @@ def test_data_adequacy_cateogorical(self):
         }
         self.json_class.test_plan = example_test
         effects = {"NoEffect": NoEffect()}
-        mutates = {
-            "Increase": lambda x: self.json_class.scenario.treatment_variables[x].z3
-            > self.json_class.scenario.variables[x].z3
-        }
         estimators = {"LinearRegressionEstimator": LinearRegressionEstimator}
 
-        test_results = self.json_class.run_json_tests(
-            effects=effects, estimators=estimators, f_flag=False, mutates=mutates
-        )
+        test_results = self.json_class.run_json_tests(effects=effects, estimators=estimators, f_flag=False)
         self.assertEqual(
             test_results[0]["result"].adequacy.to_dict(),
             {"kurtosis": {"test_input_no_dist[T.b]": 0.0}, "bootstrap_size": 100, "passing": 100, "successful": 100},