Coverage exception recovery

Author: jmafoster1

causal_testing/json_front/json_class.py

@@ -271,7 +271,6 @@ def _execute_test_case(
         if "coverage" in test and test["coverage"]:
             adequacy = DataAdequacy(causal_test_case, causal_test_engine, estimation_model)
             effect_estimate, ci_low, ci_high, outcomes = adequacy.measure_adequacy(100)
-
             self._append_to_file(f"KURTOSIS: {effect_estimate.mean()}", logging.INFO)
             self._append_to_file(f"PASSING: {sum(outcomes)}/{len(outcomes)}", logging.INFO)
 

causal_testing/testing/causal_test_adequacy.py

@@ -44,7 +44,10 @@ def measure_adequacy(self, bootstrap_size: int = 100):
         for i in range(bootstrap_size):
             estimator = deepcopy(self.estimator)
             estimator.df = estimator.df.sample(len(estimator.df), replace=True, random_state=i)
-            results.append(self.test_engine.execute_test(estimator, self.test_case))
+            try:
+                results.append(self.test_engine.execute_test(estimator, self.test_case))
+            except np.LinAlgError:
+                continue
         outcomes = [self.test_case.expected_causal_effect.apply(c) for c in results]
         results = pd.DataFrame(c.to_dict() for c in results)[["effect_estimate", "ci_low", "ci_high"]]