# 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 = "蜀相"
license = "CC-BY-SA 4.0"
desc = "高考古诗文 - 蜀相"

["__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"]]


["丞相祠堂何处寻? 锦官城外柏森森."]
note = []
content = "丞相/祠堂/何处/寻? /锦官/城外/柏/森森./"
translation = "去哪里寻找武侯诸葛亮的祠堂? 在成都城外那柏树茂密的地方. "
keyword_note = {"丞相祠堂" = "即诸葛武侯祠, 在现在成都, 晋李雄初建", "锦官城" = "成都的别名", "柏森森" = "柏树茂盛繁密的样子"}

["映阶碧草自春色, 隔叶黄鹂空好音."]
note = []
content = "映阶/碧草/自/春色/, 隔叶/黄鹂/空/好音./"
translation = "碧草映照石阶, 不过自为春色; 隔着树叶的黄鹂, 亦不过空作好音. "
keyword_note = {"自" = "白白的, 徒然", "空" = "白白的, 徒然", "好音" = "美妙的声音"}

["三顾频烦天下计, 两朝开济老臣心."]
note = []
content = "三顾/频烦/天下/计/, 两朝/开济/老臣/心./"
translation = "刘备为统一天下而三顾茅庐, 问计于诸葛亮, 辅佐两代君主的老臣忠心耿耿. "
keyword_note = {"三顾" = "刘备三顾茅庐", "频烦" = "频繁, 多次", "两朝" = "刘备、刘禅父子两朝", "开济" = "开创帝业, 扶助朝政"}

["出师未捷身先死, 长使英雄泪满襟."]
note = []
content = "出师/未捷/身/先死/, 长使/英雄/泪/满襟./"
translation = "可惜出师伐魏还没有取得最后的胜利就先去世了, 常使后代英雄感慨泪湿衣襟! "
keyword_note = {"出师" = "出兵", "未捷" = "没有取得胜利", "长使" = "常使", "泪满襟" = "泪湿衣襟"}