style: 代码格式化

src/heurams/kernel/particles/electron.py

@@ -2,12 +2,13 @@ import heurams.services.timer as timer
 from heurams.context import config_var
 from heurams.kernel.algorithms import algorithms
 
+
 class Electron:
     """电子: 记忆分析元数据及算法"""
 
     def __init__(self, ident: str, algodata: dict = {}, algo_name: str = "supermemo2"):
         """初始化电子对象 (记忆数据)
-    
+
         Args:
             ident: 算法的唯一标识符, 用于区分不同的算法实例, 使用 algodata[ident] 获取
             algodata: 算法数据字典, 包含算法的各项参数和设置
@@ -28,34 +29,34 @@ class Electron:
 
     def activate(self):
         """激活此电子"""
-        self.algodata[self.algo]['is_activated'] = 1
-        self.algodata[self.algo]['last_modify'] = timer.get_timestamp()
+        self.algodata[self.algo]["is_activated"] = 1
+        self.algodata[self.algo]["last_modify"] = timer.get_timestamp()
 
     def modify(self, var: str, value):
         """修改 algodata[algo] 中子字典数据"""
         if var in self.algodata[self.algo]:
             self.algodata[self.algo][var] = value
-            self.algodata[self.algo]['last_modify'] = timer.get_timestamp()
+            self.algodata[self.algo]["last_modify"] = timer.get_timestamp()
         else:
             print(f"警告: '{var}' 非已知元数据字段")
 
     def is_due(self):
         """是否应该复习"""
         return self.algo.is_due(self.algodata)
-    
+
     def is_activated(self):
-        return self.algodata[self.algo]['is_activated']
-    
+        return self.algodata[self.algo]["is_activated"]
+
     def rate(self):
         "评价"
         return self.algo.rate(self.algodata)
-    
+
     def nextdate(self) -> int:
         return self.algo.nextdate(self.algodata)
 
     def revisor(self, quality: int = 5, is_new_activation: bool = False):
         """算法迭代决策机制实现
-        
+
         Args:
             quality (int): 记忆保留率量化参数 (0-5)
             is_new_activation (bool): 是否为初次激活
@@ -93,7 +94,7 @@ class Electron:
         if key == "ident":
             raise AttributeError("ident 应为只读")
         self.algodata[self.algo][key] = value
-        self.algodata[self.algo]['last_modify'] = timer.get_timestamp()
+        self.algodata[self.algo]["last_modify"] = timer.get_timestamp()
 
     def __len__(self):
         """仅返回当前算法的配置数量"""
@@ -102,4 +103,4 @@ class Electron:
     @staticmethod
     def placeholder():
         """生成一个电子占位符"""
-        return Electron("电子对象样例内容", {})
+        return Electron("电子对象样例内容", {})