Syntax edits

dtcenter · Sep 18, 2024 · 9288adc · 9288adc
1 parent 44d991c
commit 9288adc
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Showing 3 changed files with 1 addition and 5 deletions.
diff --git a/metcalcpy/bootstrap.py b/metcalcpy/bootstrap.py
@@ -391,7 +391,6 @@ def _get_confidence_interval_and_value_eclv(logger, bootstrap_dist, stat_val, al
     """
 
     # TODO Only percentile method for the confident intervals is implemented
-    logger = self.logger
     if stat_val is None:
         logger.warning("Statistic value is None. Skipping confidence interval calculation.")
         val = None
@@ -571,7 +570,6 @@ def _all_the_same(elements):
 
 
 def _validate_arrays(logger, values_lists):
-    logger = self.logger
     t = values_lists[0]
     t_type = type(t)
     logger.debug(f"Validating arrays. First array type: {t_type}, shape: {t.shape}")

diff --git a/metcalcpy/calc_difficulty_index.py b/metcalcpy/calc_difficulty_index.py
@@ -125,8 +125,6 @@ def _difficulty_index(logger, sigmaij, muij, threshold, fieldijn, Aplin, sigma_o
         means more difficult.
 
     """
-    safe_log(logger, "debug", f"Checking input: sigmaij shape: {sigmaij.shape}, muij shape: {muij.shape if isinstance(muij, np.ndarray) else 'scalar'}, "
-                 f"threshold: {threshold}, fieldijn shape: {fieldijn.shape}, sigma_over_mu_ref: {sigma_over_mu_ref}, under_factor: {under_factor}")
     # Check for valid input
     _input_check(sigmaij, muij, threshold, fieldijn, sigma_over_mu_ref, under_factor, logger)
     safe_log(logger, "debug", "Input check passed successfully.")

diff --git a/test/test_event_equalize_against_values.py b/test/test_event_equalize_against_values.py
@@ -39,7 +39,7 @@ def test_event_equalize_against_values():
                                 & (stats_data[series_var].isin(series_var_vals_no_group))
                                 ]
             ee_stats_equalize_unique = (list(set(ee_stats_equalize['equalize'])))
-            f_plot = event_equalize_against_values(f_plot, ee_stats_equalize_unique, None)
+            f_plot = event_equalize_against_values(None, f_plot, ee_stats_equalize_unique)
 
             # append EE data to result
             if output_data.empty: