Fix np.float64 being printed in logs and YAML output when using Num…

…Py>=2

CHANGELOG.md

@@ -8,6 +8,7 @@ Copyright (c) 2011-2024 Claudio Satriano <satriano@ipgp.fr>
 
 ### Input/output
 
+- Fix `np.float64` being printed in logs and YAML output when using NumPy>=2
 - HTML report improvements:
   - Link to supplementary files and plots in the HTML report
   - Display configuration, log and output files in a modal window with syntax

sourcespec/ssp_output.py

@@ -309,6 +309,8 @@ def _dict2yaml(dict_like, level=0):
     indent = ' ' * 2 * level
     # use oneliners for dict-like objects containing value and uncertainty keys
     if set(target_dict.keys()).intersection(set(value_uncertainty_keys)):
+        # make sure all values are represented as strings
+        target_dict = {key: str(value) for key, value in target_dict.items()}
         oneliner = str(target_dict).replace("'", "")
         return f'{indent}{oneliner}\n'
     lines = ''

sourcespec/ssp_summary_statistics.py

@@ -254,15 +254,20 @@ def compute_summary_statistics(config, sspec_output):
                 logarithmic=False
             )
 
+    # Log info on summary statistics for each parameter
+    # Note that numpy.float64 are cast to float to display them in the log
+    # in a more readable way
     params_name = ('Mw', 'fc', 't_star')
     means = sspec_output.mean_values()
-    sourcepar_mean = {par: means[par] for par in params_name}
+    sourcepar_mean = {par: float(means[par]) for par in params_name}
     logger.info(f'params_mean: {sourcepar_mean}')
     means_weight = sspec_output.weighted_mean_values()
-    sourcepar_mean_weight = {par: means_weight[par] for par in params_name}
+    sourcepar_mean_weight = {
+        par: float(means_weight[par]) for par in params_name}
     logger.info(f'params_mean_weighted: {sourcepar_mean_weight}')
     percentiles = sspec_output.percentiles_values()
-    sourcepar_percentiles = {par: percentiles[par] for par in params_name}
+    sourcepar_percentiles = {
+        par: float(percentiles[par]) for par in params_name}
     logger.info(f'params_percentiles: {sourcepar_percentiles}')
     logger.info('Computing summary statistics: done')
     logger.info('---------------------------------------------------')