Refactor python files of suggestion services

pkg/suggestion/v1alpha3/base_health_service.py

@@ -24,8 +24,7 @@
 SERVICE_NAME = _health_pb2.DESCRIPTOR.services_by_name['Health'].full_name
 
 
-class _Watcher():
-
+class _Watcher:
     def __init__(self):
         self._condition = threading.Condition()
         self._responses = collections.deque()

pkg/suggestion/v1alpha3/hyperband_service.py

@@ -17,6 +17,7 @@
 logger.setLevel(DEBUG)
 logger.addHandler(handler)
 
+
 class HyperbandService(api_pb2_grpc.SuggestionServicer, HealthServicer):
     def GetSuggestions(self, request, context):
         """

pkg/suggestion/v1alpha3/hyperopt_service.py

@@ -3,7 +3,7 @@
 from pkg.apis.manager.v1alpha3.python import api_pb2
 from pkg.apis.manager.v1alpha3.python import api_pb2_grpc
 
-from pkg.suggestion.v1alpha3.internal.search_space import HyperParameter, HyperParameterSearchSpace
+from pkg.suggestion.v1alpha3.internal.search_space import HyperParameterSearchSpace
 from pkg.suggestion.v1alpha3.internal.trial import Trial, Assignment
 from pkg.suggestion.v1alpha3.hyperopt.base_hyperopt_service import BaseHyperoptService
 from pkg.suggestion.v1alpha3.base_health_service import HealthServicer

pkg/suggestion/v1alpha3/nasrl_service.py

@@ -1,8 +1,7 @@
 import logging
-from logging import getLogger, StreamHandler, INFO, DEBUG
+from logging import getLogger, StreamHandler, INFO
 import json
 import os
-import time
 import tensorflow as tf
 import grpc
 
@@ -13,7 +12,8 @@
 from pkg.suggestion.v1alpha3.NAS_Reinforcement_Learning.AlgorithmSettings import parseAlgorithmSettings
 from pkg.suggestion.v1alpha3.base_health_service import HealthServicer
 
-class NAS_RL_Experiment(object):
+
+class NAS_RL_Experiment:
     def __init__(self, request, logger):
         self.logger = logger
         self.experiment_name = request.experiment.name

pkg/suggestion/v1alpha3/parameter.py

@@ -1,6 +1,7 @@
 import numpy as np
 from sklearn.preprocessing import MinMaxScaler
 
+
 class ParameterConfig:
     """
     Class to hold the parameter configuration for an experiment.