# Nucleon 是 HeurAMS 软件项目使用的基于 TOML 的专有源文件格式, 版本 5
# 建议使用的 MIME 类型: application/vnd.xyz.imwangzhiyu.heurams-nucleon.v5+toml

["__metadata__"]
["__metadata__.attribution"] # 版权元信息
author = "__heurams__"
group = "高考古诗文"
name = "菩萨蛮·书江西造口壁"
license = "CC-BY-SA 4.0"
desc = "高考古诗文 - 菩萨蛮·书江西造口壁"

["__metadata__.annotation"] # 键批注
note = "笔记"
keyword_note = "关键词翻译"
translation = "语句翻译"

["__metadata__.formation"] # 文件配置
delimiter = "/"
tts_text = "eval:payload['content'].replace('/', '')"

["__metadata__.orbital.puzzles"] # 谜题定义
# 我们称 "Recognition" 为 recognition 谜题的 alia
"Recognition" = { __origin__ = "recognition", __hint__ = "", primary = "eval:payload['content']", secondary = ["eval:payload['keyword_note']", "eval:payload['note']"], top_dim = ["eval:payload['translation']"] }
"SelectMeaning" = { __origin__ = "mcq", __hint__ = "eval:payload['content']", primary = "eval:payload['content']", mapping = "eval:payload['keyword_note']", jammer = "eval:list(payload['keyword_note'].values())", max_riddles_num = "eval:default['mcq']['max_riddles_num']", prefix = "选择正确项: " }
"FillBlank" = { __origin__ = "cloze", __hint__ = "", text = "eval:payload['content']", delimiter = "eval:metadata['formation']['delimiter']", min_denominator = "eval:default['cloze']['min_denominator']"}

["__metadata__.orbital.schedule"] # 内置的推荐学习方案
quick_review = [["FillBlank", "1.0"], ["SelectMeaning", "0.5"], ["Recognition", "1.0"]]
recognition = [["Recognition", "1.0"]]
final_review = [["FillBlank", "0.7"], ["SelectMeaning", "0.7"], ["Recognition", "1.0"]]


["郁孤台下清江水, 中间多少行人泪."]
note = []
content = "郁孤台下/清江水/, 中间/多少/行人泪./"
translation = "郁孤台下这赣江的流水, 水中有多少苦难之人的眼泪"
keyword_note = {"郁孤台" = "今江西省赣州市城区西北部贺兰山顶, 又称望阙台", "清江" = "赣江与袁江合流处旧称清江", "行人泪" = "指逃难民众的泪水"}

["西北望长安, 可怜无数山."]
note = []
content = "西北/望/长安/, 可怜/无数山./"
translation = "我举头眺望西北的长安, 可惜只看到无数青山"
keyword_note = {"长安" = "今陕西省西安市, 为汉唐故都. 此处代指宋都汴京", "可怜" = "可惜", "无数山" = "很多座山"}

["青山遮不住, 毕竟东流去."]
note = []
content = "青山/遮不住/, 毕竟/东流去./"
translation = "但青山怎能把江水挡住? 浩浩江水终于还是向东流去"
keyword_note = {"遮不住" = "阻挡不了", "东流去" = "向东流去"}

["江晚正愁余, 山深闻鹧鸪."]
note = ['愁余 一作: 愁予']
content = "江晚/正/愁余/, 山深/闻/鹧鸪./"
translation = "江边日晚我正满怀愁绪, 听到深山传来声声鹧鸪悲鸣"
keyword_note = {"愁余" = "使我发愁", "鹧鸪" = "鸟名. 传说其叫声如云'行不得也哥哥', 啼声凄苦"}