[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

sdgx/metrics/base.py

@@ -1,3 +1,2 @@
 class base_metric:
-
     pass

sdgx/models/base.py

@@ -4,7 +4,6 @@
 
 class BaseGeneratorModel:
     def __init__(self, transformer=None, sampler=None) -> None:
-
         # 以下几个变量都需要在初始化 model 时进行更改
         self.model = None  # 存放模型
         self.status = "UNFINED"
@@ -32,7 +31,6 @@ def load_from_disk(self, model_path=""):
         raise NotImplementedError
 
     def dump_to_disk(self, output_path=""):
-
         raise NotImplementedError
 
     pass

sdgx/models/single_table/ctgan.py

@@ -301,7 +301,6 @@ def __init__(
         transformer=None,
         sampler=None,
     ):
-
         assert batch_size % 2 == 0
 
         self._embedding_dim = embedding_dim
@@ -506,7 +505,6 @@ def fit(self, train_data, discrete_columns=(), epochs=None):
         steps_per_epoch = max(len(train_data) // self._batch_size, 1)
         for i in range(epochs):
             for id_ in range(steps_per_epoch):
-
                 for n in range(self._discriminator_steps):
                     fakez = torch.normal(mean=mean, std=std)
 

sdgx/utils/io/csv_utils.py

@@ -32,12 +32,10 @@ def get_demo_single_table():
 
 # 获取csv形式的单表数据
 def get_single_table(input_path):
-
     pass
 
 
 # 自动检测函数，用于检测 discrete_cols
 # 不一定最准确，但可以一定程度上方便使用
 def auto_select_discrete_cols(pd_obj):
-
     pass

sdgx/utils/io/mysql.py

@@ -19,7 +19,6 @@ def __init__(
         database_name,
         database_type="mysql",
     ) -> None:
-
         # 配置log路径
         if not os.path.exists(sdg_log_dir):
             os.makedirs(sdg_log_dir)