codacy

Author: christopher-wild

causal_testing/json_front/json_class.py

@@ -127,7 +127,7 @@ def execute_tests(self, effects: dict, mutates: dict, estimators: dict, f_flag:
                 if failed:
                     failures += 1
 
-        logger.info(f"{failures}/{executed_tests} failed")
+        logger.info("{%d}/{%d} failed", failures, executed_tests)
 
     def _json_parse(self):
         """Parse a JSON input file into inputs, outputs, metas and a test plan
@@ -180,7 +180,7 @@ def _execute_test_case(self, causal_test_case: CausalTestCase, estimator: Estima
         if not test_passes:
             failed = True
             logger.warning(
-                f"    FAILED - expected {causal_test_case.expected_causal_effect}, got {causal_test_result.ate}")
+                "   FAILED- expected %s, got %s", causal_test_case.expected_causal_effect, causal_test_result.ate)
         return failed
 
     def _setup_test(self, causal_test_case: CausalTestCase, estimator: Estimator) -> tuple[CausalTestEngine, Estimator]:

examples/poisson/run_causal_tests.py

@@ -93,13 +93,6 @@ def populate_num_shapes_unit(data):
     area = data['width'] * data['height']
     data['num_shapes_unit'] = data['num_shapes_abs'] / area
 
-
-def logger_setup():
-    logger = logging.getLogger(__name__)
-    fh = logging.FileHandler()
-    logger.addHandler(fh)
-
-
 inputs = [
     {"name": "width", "type": float, "distribution": "uniform"},
     {"name": "height", "type": float, "distribution": "uniform"},