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ARCHIVED TRAINING / kinegratii/borax

kinegratii__borax-21

This is a preserved training example. Membership in the current training wave has not been verified.
kinegratii/borax · Task 90 of 169

Problem statement

农历:LunarDate.cn_day_calendar 计算错误%F 描述符缺少“月”后缀
## 问题类型

- [X] BUG
- [ ] 新功能
- [ ] 功能优化

## 问题

LunarDate.cn_day_calendar 计算错误,同时 '%F' 描述符计算错误。


## 代码

```python
from borax.calendars import LunarDate, LCalendars
print([LunarDate(year=2017, month=month, day=1, leap=leap).cn_day_calendar for month, days, leap in LCalendars.iter_year_month(2017)])
```

结果为

```
['正', '二', '三', '四', '五', '六', '六', '七', '八', '九', '十', '冬', '腊']
```

正确结果为

```

```
['正月', '二月', '三月', '四月', '五月', '六月', '闰六', '七月', '八月', '九月', '十月', '冬月', '腊月']
```
```


## Hints:
codecov[bot]: # [Codecov](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=h1) Report
> Merging [#21](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=desc) (f92cf44) into [develop](https://codecov.io/gh/kinegratii/borax/commit/f9e51116e04eb9539e54e0db1e321b6e40200903?el=desc) (f9e5111) will **increase** coverage by `0.19%`.
> The diff coverage is `100.00%`.

[![Impacted file tree graph](https://codecov.io/gh/kinegratii/borax/pull/21/graphs/tree.svg?width=650&height=150&src=pr&token=322BKY7581)](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=tree)

```diff
@@             Coverage Diff             @@
##           develop      #21      +/-   ##
===========================================
+ Coverage    86.34%   86.54%   +0.19%     
===========================================
  Files           29       29              
  Lines         1641     1643       +2     
===========================================
+ Hits          1417     1422       +5     
+ Misses         224      221       -3     
```


| [Impacted Files](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [borax/calendars/lunardate.py](https://codecov.io/gh/kinegratii/borax/pull/21/diff?src=pr&el=tree#diff-Ym9yYXgvY2FsZW5kYXJzL2x1bmFyZGF0ZS5weQ==) | `95.75% <100.00%> (+0.77%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=footer). Last update [f9e5111...f92cf44](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).

Training membership

opd_e4b_pure_v7 opd_e4b_pure_v7b

Task issues extracted from preserved verified_rft_messages training examples. This is not a verified current RL wave manifest.

Task and snapshot provenance

Snapshot captured 2026-11-12T17:06:59.476467+00:00 · Autoresearch-Arena/gemma-4-developer-agent

{
  "datasets": [
    "opd_e4b_pure_v7",
    "opd_e4b_pure_v7b"
  ],
  "examples": 6,
  "instance_id": "kinegratii__borax-21",
  "problem_statement": "农历:LunarDate.cn_day_calendar 计算错误%F 描述符缺少“月”后缀\n## 问题类型\r\n\r\n- [X] BUG\r\n- [ ] 新功能\r\n- [ ] 功能优化\r\n\r\n## 问题\r\n\r\nLunarDate.cn_day_calendar 计算错误,同时 '%F' 描述符计算错误。\r\n\r\n\r\n## 代码\r\n\r\n```python\r\nfrom borax.calendars import LunarDate, LCalendars\r\nprint([LunarDate(year=2017, month=month, day=1, leap=leap).cn_day_calendar for month, days, leap in LCalendars.iter_year_month(2017)])\r\n```\r\n\r\n结果为\r\n\r\n```\r\n['正', '二', '三', '四', '五', '六', '六', '七', '八', '九', '十', '冬', '腊']\r\n```\r\n\r\n正确结果为\r\n\r\n```\r\n\r\n```\r\n['正月', '二月', '三月', '四月', '五月', '六月', '闰六', '七月', '八月', '九月', '十月', '冬月', '腊月']\r\n```\r\n```\r\n\n\n## Hints:\ncodecov[bot]: # [Codecov](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=h1) Report\n> Merging [#21](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=desc) (f92cf44) into [develop](https://codecov.io/gh/kinegratii/borax/commit/f9e51116e04eb9539e54e0db1e321b6e40200903?el=desc) (f9e5111) will **increase** coverage by `0.19%`.\n> The diff coverage is `100.00%`.\n\n[![Impacted file tree graph](https://codecov.io/gh/kinegratii/borax/pull/21/graphs/tree.svg?width=650&height=150&src=pr&token=322BKY7581)](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=tree)\n\n```diff\n@@             Coverage Diff             @@\n##           develop      #21      +/-   ##\n===========================================\n+ Coverage    86.34%   86.54%   +0.19%     \n===========================================\n  Files           29       29              \n  Lines         1641     1643       +2     \n===========================================\n+ Hits          1417     1422       +5     \n+ Misses         224      221       -3     \n```\n\n\n| [Impacted Files](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [borax/calendars/lunardate.py](https://codecov.io/gh/kinegratii/borax/pull/21/diff?src=pr&el=tree#diff-Ym9yYXgvY2FsZW5kYXJzL2x1bmFyZGF0ZS5weQ==) | `95.75% <100.00%> (+0.77%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=footer). Last update [f9e5111...f92cf44](https://codecov.io/gh/kinegratii/borax/pull/21?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).",
  "repo": "kinegratii/borax",
  "source": "v2/experiments/train_data/opd_e4b_pure_v7/verified_rft_messages.jsonl",
  "source_sha256": "e37f7bd675322f3f81500b73559d60d5f602ca0537bf19f5cb06332c728c7b72"
}
{
  "captured_at": "2026-11-12T17:06:59.476467+00:00",
  "membership": "archived training",
  "membership_evidence": "Task issues extracted from preserved verified_rft_messages training examples. This is not a verified current RL wave manifest.",
  "name": "Preserved post-training task archive",
  "source": "Autoresearch-Arena/gemma-4-developer-agent",
  "source_revision": "016496de222aaafca0d4ee4c18efc63ba616f76e",
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      "sha256": "960c680e797e823a0d3a22f4b1d5ef60a72971373d703b877340b0c9126aaf68"
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    {
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}