diff --git a/examples/automl_example/time_series/ts_regression/pdl_example.py b/examples/automl_example/time_series/ts_regression/pdl_example.py
index 0e9ba83a3..577da78f9 100644
--- a/examples/automl_example/time_series/ts_regression/pdl_example.py
+++ b/examples/automl_example/time_series/ts_regression/pdl_example.py
@@ -22,4 +22,4 @@
                                   metric_list=METRIC_NAMES).eval(dataset=DATASET_NAME,
                                                                  initial_assumption=node_list,
                                                                  finetune=False)
-        print(f'Approach: {approach}. Metrics: {result_dict["metrics"]}')
\ No newline at end of file
+        print(f'Approach: {approach}. Metrics: {result_dict["metrics"]}')
diff --git a/fedot_ind/core/repository/config_repository.py b/fedot_ind/core/repository/config_repository.py
index 5adfc12b4..269618923 100644
--- a/fedot_ind/core/repository/config_repository.py
+++ b/fedot_ind/core/repository/config_repository.py
@@ -27,8 +27,8 @@ class AutomlLearningConfigConstant(Enum):
 class AutomlConfigConstant(Enum):
     DEFAULT_SUBCONFIG = {'use_automl': True,
                          'optimisation_strategy': {'optimisation_strategy':
-                                                       {'mutation_agent': 'random',
-                                                        'mutation_strategy': 'growth_mutation_strategy'},
+                                                   {'mutation_agent': 'random',
+                                                    'mutation_strategy': 'growth_mutation_strategy'},
                                                    'optimisation_agent': 'Industrial'}}
     DEFAULT_CLF_AUTOML_CONFIG = {'task': 'classification', **DEFAULT_SUBCONFIG}
     DEFAULT_REG_AUTOML_CONFIG = {'task': 'regression', **DEFAULT_SUBCONFIG}