Fix problem with float32 json dump (#112)

* fix problem with float32 json dump

* less complexity

* pep8

Author: dmitrii-kriukov

bench.py

@@ -540,11 +540,15 @@ def print_output(library, algorithm, stages, params, functions,
                                     data[i], alg_instance, alg_params)
             result.update({'time[s]': times[i]})
             if isinstance(metric_type, str):
-                result.update({f'{metric_type}': metrics[i]})
+                result.update({f'{metric_type}': np.float64(metrics[i])
+                              if isinstance(metrics[i], np.float32)
+                              else metrics[i]})
             elif isinstance(metric_type, list):
                 for ind, val in enumerate(metric_type):
                     if metrics[ind][i] is not None:
-                        result.update({f'{val}': metrics[ind][i]})
+                        result.update({f'{val}': np.float64(metrics[ind][i])
+                                      if isinstance(metrics[ind][i], np.float32)
+                                      else metrics[ind][i]})
             if hasattr(params, 'n_classes'):
                 result['input_data'].update({'classes': params.n_classes})
             if hasattr(params, 'n_clusters'):

configs/xpu/kmeans.json

@@ -4,7 +4,7 @@
         "algorithm": "kmeans",
         "data-format": "pandas",
         "data-order": "C",
-        "dtype": ["float64"],
+        "dtype": ["float32", "float64"],
         "device": ["host", "cpu", "gpu", "none"]
     },
     "cases": [

configs/xpu/pca.json

@@ -4,7 +4,7 @@
         "algorithm": "pca",
         "data-format": "pandas",
         "data-order": "F",
-        "dtype": ["float64"],
+        "dtype": ["float32", "float64"],
         "device": ["host", "cpu", "none"]
     },
     "cases": [