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重新实现对象系统

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This commit is contained in:
Wang Zhiyu
2025-10-18 00:01:56 +08:00
parent 76b715d8d2
commit e77210efc6
6 changed files with 115 additions and 90 deletions
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112
src/heurams/kernel/particles/electron.py
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@@ -3,16 +3,25 @@ from heurams.context import config_var
class Electron:
"""电子: 记忆分析元数据及算法"""
algorithm = "SM-2" # 暂时使用 SM-2 算法进行记忆拟合, 考虑 SM-15 替代
algo = "SM-2"
def __init__(self, content: str, metadata: dict):
self.content = content
self.metadata = metadata
if metadata == {}:
# print("NULL")
def __init__(self, ident: str, algodata: dict = {}):
"""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
"""
self.algodata = algodata
self.ident = ident
if self.algo not in self.algodata.keys():
self.algodata[self.algo] = {}
if algodata[self.algo] == {}:
self._default_init()
def _default_init(self):
"""默认初始化包装
"""
defaults = {
'efactor': 2.5, # 易度系数, 越大越简单, 最大为5
'real_rept': 0, # (实际)重复次数
@@ -24,16 +33,20 @@ class Electron:
# *NOTE: 此处"时间戳"是以天为单位的整数, 即 UNIX 时间戳除以一天的秒数取整
'last_modify': timer.get_timestamp() # 最后修改时间戳(此处是UNIX时间戳)
}
self.metadata = defaults
self.algodata[self.algo] = defaults
def activate(self):
self.metadata['is_activated'] = 1
self.metadata['last_modify'] = timer.get_timestamp()
"""激活此电子
"""
self.algodata[self.algo]['is_activated'] = 1
self.algodata[self.algo]['last_modify'] = timer.get_timestamp()
def modify(self, var: str, value):
if var in self.metadata:
self.metadata[var] = value
self.metadata['last_modify'] = timer.get_timestamp()
"""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()
else:
print(f"警告: '{var}' 非已知元数据字段")
@@ -49,75 +62,76 @@ class Electron:
if quality == -1:
return -1
self.metadata['efactor'] = self.metadata['efactor'] + (
self.algodata[self.algo]['efactor'] = self.algodata[self.algo]['efactor'] + (
0.1 - (5 - quality) * (0.08 + (5 - quality) * 0.02)
)
self.metadata['efactor'] = max(1.3, self.metadata['efactor'])
self.algodata[self.algo]['efactor'] = max(1.3, self.algodata[self.algo]['efactor'])
if quality < 3:
# 若保留率低于 3，重置重复次数
self.metadata['rept'] = 0
self.metadata['interval'] = 0 # 设为0，以便下面重新计算 I(1)
self.algodata[self.algo]['rept'] = 0
self.algodata[self.algo]['interval'] = 0 # 设为0，以便下面重新计算 I(1)
else:
self.metadata['rept'] += 1
self.algodata[self.algo]['rept'] += 1
self.metadata['real_rept'] += 1
self.algodata[self.algo]['real_rept'] += 1
if is_new_activation: # 初次激活
self.metadata['rept'] = 0
self.metadata['efactor'] = 2.5
self.algodata[self.algo]['rept'] = 0
self.algodata[self.algo]['efactor'] = 2.5
if self.metadata['rept'] == 0: # 刚被重置或初次激活后复习
self.metadata['interval'] = 1 # I(1)
elif self.metadata['rept'] == 1:
self.metadata['interval'] = 6 # I(2) 经验公式
if self.algodata[self.algo]['rept'] == 0: # 刚被重置或初次激活后复习
self.algodata[self.algo]['interval'] = 1 # I(1)
elif self.algodata[self.algo]['rept'] == 1:
self.algodata[self.algo]['interval'] = 6 # I(2) 经验公式
else:
self.metadata['interval'] = round(
self.metadata['interval'] * self.metadata['efactor']
self.algodata[self.algo]['interval'] = round(
self.algodata[self.algo]['interval'] * self.algodata[self.algo]['efactor']
)
self.metadata['last_date'] = timer.get_daystamp()
self.metadata['next_date'] = timer.get_daystamp() + self.metadata['interval']
self.metadata['last_modify'] = timer.get_timestamp()
self.algodata[self.algo]['last_date'] = timer.get_daystamp()
self.algodata[self.algo]['next_date'] = timer.get_daystamp() + self.algodata[self.algo]['interval']
self.algodata[self.algo]['last_modify'] = timer.get_timestamp()
def __str__(self):
return (
f"记忆单元预览 \n"
f"内容: '{self.content}' \n"
f"易度系数: {self.metadata['efactor']:.2f} \n"
f"已经重复的次数: {self.metadata['rept']} \n"
f"下次间隔: {self.metadata['interval']} 天 \n"
f"下次复习日期时间戳: {self.metadata['next_date']}"
f"标识符: '{self.ident}' \n"
f"易度系数: {self.algodata[self.algo]['efactor']:.2f} \n"
f"已经重复的次数: {self.algodata[self.algo]['rept']} \n"
f"下次间隔: {self.algodata[self.algo]['interval']} 天 \n"
f"下次复习日期时间戳: {self.algodata[self.algo]['next_date']}"
)
def __eq__(self, other):
if self.content == other.content:
if self.ident == other.ident:
return True
return False
def __hash__(self):
return hash(self.content)
return hash(self.ident)
def __getitem__(self, key):
if key == "content":
return self.content
if key in self.metadata:
return self.metadata[key]
if key == "ident":
return self.ident
if key in self.algodata[self.algo]:
return self.algodata[self.algo][key]
else:
raise KeyError(f"Key '{key}' not found in metadata.")
raise KeyError(f"Key '{key}' not found in algodata[self.algo].")
def __setitem__(self, key, value):
if key == "content":
raise AttributeError("content 应为只读")
self.metadata[key] = value
self.metadata['last_modify'] = timer.get_timestamp()
def __iter__(self):
yield from self.metadata.keys()
if key == "ident":
raise AttributeError("ident should be readonly")
self.algodata[self.algo][key] = value
self.algodata[self.algo]['last_modify'] = timer.get_timestamp()
def __len__(self):
return len(self.metadata)
"""仅返回当前算法的配置数量
"""
return len(self.algodata[self.algo])
@staticmethod
def placeholder():
"""生成一个电子占位符
"""
return Electron("电子对象样例内容", {})