re-enable unnecessary-pass

Author: Robert (Bob) Turner

.pylintrc

@@ -152,8 +152,7 @@ disable=raw-checker-failed,
         useless-suppression,
         deprecated-pragma,
         use-symbolic-message-instead,
-        invalid-name,
-        unnecessary-pass
+        invalid-name
 
 # Enable the message, report, category or checker with the given id(s). You can
 # either give multiple identifier separated by comma (,) or put this option

causal_testing/data_collection/data_collector.py

@@ -21,7 +21,6 @@ def collect_data(self, **kwargs) -> pd.DataFrame:
         Populate the dataframe with execution data.
         :return df: A pandas dataframe containing execution data for the system-under-test.
         """
-        pass
 
     def filter_valid_data(self, data: pd.DataFrame, check_pos: bool = True) -> pd.DataFrame:
         """Check is execution data is valid for the scenario-under-test.
@@ -119,8 +118,6 @@ def run_system_with_input_configuration(self, input_configuration: dict) -> pd.D
         :return: A pandas dataframe containing execution data obtained by executing the system-under-test with the
         specified input configuration.
         """
-        pass
-
 
 class ObservationalDataCollector(DataCollector):
     """A data collector that extracts data that is relevant to the specified scenario from a csv of execution data."""

causal_testing/testing/estimators.py

@@ -64,7 +64,6 @@ def add_modelling_assumptions(self):
         Add modelling assumptions to the estimator. This is a list of strings which list the modelling assumptions that
         must hold if the resulting causal inference is to be considered valid.
         """
-        pass
 
     @abstractmethod
     def estimate_ate(self) -> float:
@@ -73,15 +72,13 @@ def estimate_ate(self) -> float:
         in the linear regression equation.
         :return: The intercept and coefficient of the linear regression equation
         """
-        pass
 
     def compute_confidence_intervals(self) -> list[float, float]:
         """
         Estimate the 95% Wald confidence intervals for the effect of changing the treatment from control values to
         treatment values on the outcome.
         :return: 95% Wald confidence intervals.
         """
-        pass
 
 
 class LogisticRegressionEstimator(Estimator):