执行FSRS4Anki v3.5.0 Optimizer的1.2步骤时出现"KeyError"[BUG]

[5mdld]

Describe the bug
使用Anki v2.1.55 beta 2导出的.apkg文件（已经勾选了兼容旧版本），
执行FSRS4Anki v3.5.0 Optimizer的1.2步骤时出现"KeyError"
如有需要，可以邮件发您使用的.apkg文件

KeyError Traceback (most recent call last)
in
66 return group
67
---> 68 df = df.groupby(by=['r_history', 'delta_t']).progress_apply(cal_retention)
69 print("Retention calculated.")
70 df = df.drop(columns=['id', 'cid', 'usn', 'ivl', 'last_lvl', 'factor', 'time', 'type', 'create_date', 'review_date', 'real_days', 'r', 't_history'])

9 frames
/usr/local/lib/python3.7/dist-packages/tqdm/std.py in inner(df, func, *args, **kwargs)
812 # on the df using our wrapper (which provides bar updating)
813 try:
--> 814 return getattr(df, df_function)(wrapper, **kwargs)
815 finally:
816 t.close()

/usr/local/lib/python3.7/dist-packages/pandas/core/groupby/groupby.py in apply(self, func, *args, **kwargs)
1273 with option_context("mode.chained_assignment", None):
1274 try:
-> 1275 result = self._python_apply_general(f, self._selected_obj)
1276 except TypeError:
1277 # gh-20949

/usr/local/lib/python3.7/dist-packages/pandas/core/groupby/groupby.py in _python_apply_general(self, f, data)
1307 data after applying f
1308 """
-> 1309 keys, values, mutated = self.grouper.apply(f, data, self.axis)
1310
1311 return self._wrap_applied_output(

/usr/local/lib/python3.7/dist-packages/pandas/core/groupby/ops.py in apply(self, f, data, axis)
850 # group might be modified
851 group_axes = group.axes
--> 852 res = f(group)
853 if not _is_indexed_like(res, group_axes, axis):
854 mutated = True

/usr/local/lib/python3.7/dist-packages/tqdm/std.py in wrapper(*args, **kwargs)
807 # take a fast or slow code path; so stop when t.total==t.n
808 t.update(n=1 if not t.total or t.n < t.total else 0)
--> 809 return func(*args, **kwargs)
810
811 # Apply the provided function (in **kwargs)

in cal_retention(group)
62
63 def cal_retention(group: pd.DataFrame) -> pd.DataFrame:
---> 64 group['retention'] = round(group['r'].map(lambda x: {1: 0, 2: 1, 3: 1, 4: 1}[x]).mean(), 4)
65 group['total_cnt'] = group.shape[0]
66 return group

/usr/local/lib/python3.7/dist-packages/pandas/core/series.py in map(self, arg, na_action)
4159 dtype: object
4160 """
-> 4161 new_values = super()._map_values(arg, na_action=na_action)
4162 return self._constructor(new_values, index=self.index).finalize(
4163 self, method="map"

/usr/local/lib/python3.7/dist-packages/pandas/core/base.py in _map_values(self, mapper, na_action)
868
869 # mapper is a function
--> 870 new_values = map_f(values, mapper)
871
872 return new_values

/usr/local/lib/python3.7/dist-packages/pandas/_libs/lib.pyx in pandas._libs.lib.map_infer()

in (x)
62
63 def cal_retention(group: pd.DataFrame) -> pd.DataFrame:
---> 64 group['retention'] = round(group['r'].map(lambda x: {1: 0, 2: 1, 3: 1, 4: 1}[x]).mean(), 4)
65 group['total_cnt'] = group.shape[0]
66 return group

KeyError: 0

Environment

• Anki version: [2.1.55 beta 2]
• OS: [macOS 13 beta (22A5373b)]

[5mdld]

感觉好像文件太大就会出现该问题？选取了部分卡（两千个左右）打包执行的时候一切正常

[L-M-Sherlock]

看起来是异常数据，理论上反馈只有 1 2 3 4 四种，我会在下个版本修复。

[5mdld]

谢谢，等待修复

[L-M-Sherlock]

试一下最新版

https://github.com/open-spaced-repetition/fsrs4anki/blob/v3.7.0/fsrs4anki_optimizer.ipynb

[5mdld]

谢谢，已可以正常使用