fix pep8

Author: itearsl

bench.py

@@ -504,9 +504,9 @@ def gen_basic_dict(library, algorithm, stage, params, data, alg_instance=None,
         else:
             alg_instance_params = dict(alg_instance.get_params())
             print(alg_instance_params)
-            if 'min_samples_split' in alg_instance_params \
-            and 'handle' in alg_instance_params \
-            and 'cuml' in str(alg_instance_params['handle']):
+            if ('min_samples_split' in alg_instance_params
+            and 'handle' in alg_instance_params
+            and 'cuml' in str(alg_instance_params['handle'])):
                 print(str(alg_instance_params['dtype']))
                 alg_instance_params['dtype'] = str(alg_instance_params['dtype'])
         result['algorithm_parameters'].update(alg_instance_params)

configs/testing/sklearn.json

@@ -24,6 +24,7 @@
         },
         {
             "algorithm": "df_clsf",
+            "dtype": "float32",
             "dataset": [
                 {
                     "source": "synthetic",
@@ -42,6 +43,7 @@
         },
         {
             "algorithm": "df_regr",
+            "dtype": "float32",
             "dataset": [
                 {
                     "source": "synthetic",

cuml_bench/tsne.py

@@ -7,8 +7,8 @@
 parser.add_argument('--n-components', type=int, default=2,
                     help='Dimension of the embedded space.')
 parser.add_argument('--early-exaggeration', type=float, default=12.0,
-                    help='Controls how tight natural clusters in the original space are in the embedded space'
-                    'and how much space will be between them.')
+                    help='Controls how tight natural clusters in the '
+                    'original space are in the embedded space and how much space will be between them.')
 parser.add_argument('--learning-rate', type=float, default=200.0,
                     help='The learning rate for t-SNE is usually in the range [10.0, 1000.0].')
 parser.add_argument('--angle', type=float, default=0.5,

datasets/loader_regression.py

@@ -260,6 +260,7 @@ def yolanda(dataset_dir: Path) -> bool:
     logging.info(f'dataset {dataset_name} is ready.')
     return True
 
+
 def airline_regression(dataset_dir: Path) -> bool:
     """
     yolanda x train dataset (8500000, 9)

sklearn_bench/tsne.py

@@ -53,8 +53,8 @@ def main():
     parser.add_argument('--n-components', type=int, default=2,
                         help='Dimension of the embedded space.')
     parser.add_argument('--early-exaggeration', type=float, default=12.0,
-                        help='Controls how tight natural clusters in the original space are in the embedded space'
-                        'and how much space will be between them.')
+                        help='Controls how tight natural clusters in the'
+                        'original space are in the embedded space and how much space will be between them.')
     parser.add_argument('--learning-rate', type=float, default=200.0,
                         help='The learning rate for t-SNE is usually in the range [10.0, 1000.0].')
     parser.add_argument('--angle', type=float, default=0.5,