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

["__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"]]


["对酒当歌, 人生几何!"]
note = ['开篇抒发人生短暂的感慨']
content = "对酒/当歌/, 人生/几何!/"
translation = "一边喝着酒, 一边唱着歌, 人生的岁月有多少. "
keyword_note = {"对酒" = "面对着酒", "当歌" = "应当唱歌", "几何" = "多少 (指岁月) "}

["譬如朝露, 去日苦多."]
note = []
content = "譬如/朝露/, 去日/苦多./"
translation = "好比晨露转瞬即逝, 已经逝去的时光实在太多! "
keyword_note = {"譬如" = "比如, 好比", "朝露" = "早晨的露水", "去日" = "逝去的日子", "苦多" = "实在太多"}

["慨当以慷, 忧思难忘."]
note = []
content = "慨当/以慷/, 忧思/难忘./"
translation = "宴会上的歌声激昂慷慨, 心中的忧愁却难以遗忘. "
keyword_note = {"慨当以慷" = "慷慨激昂", "忧思" = "忧愁思绪", "难忘" = "难以忘怀"}

["何以解忧?  唯有杜康."]
note = ['杜康代指酒, 用具体代抽象']
content = "何以/解忧/?  唯有/杜康./"
translation = "靠什么来排解忧闷? 唯有豪饮美酒. "
keyword_note = {"何以" = "用什么", "解忧" = "解除忧愁", "杜康" = "传说中造酒的人, 代指酒"}

["青青子衿, 悠悠我心."]
note = ['化用《诗经》诗句, 表达对贤才的思慕']
content = "青青/子衿/, 悠悠/我心./"
translation = "有学识的才子们啊, 你们令我朝夕思慕. "
keyword_note = {"子衿" = "读书人的衣领", "青青" = "青色的", "悠悠" = "长久的思念"}

["但为君故, 沉吟至今."]
note = []
content = "但为/君故/, 沉吟/至今./"
translation = "只是因为你们的缘故, 让我沉痛吟诵至今. "
keyword_note = {"但为" = "只因为", "君" = "您, 指贤才", "沉吟" = "深沉地吟诵"}

["呦呦鹿鸣, 食野之苹."]
note = ['再次化用《诗经》, 表达礼遇贤才的诚意']
content = "呦呦/鹿鸣/, 食野/之苹./"
translation = "阳光下鹿群呦呦欢鸣, 在原野吃着艾蒿. "
keyword_note = {"呦呦" = "鹿鸣声", "食野" = "在野外吃草", "苹" = "艾蒿"}

["我有嘉宾, 鼓瑟吹笙."]
note = []
content = "我有/嘉宾/, 鼓瑟/吹笙./"
translation = "一旦四方贤才光临舍下, 我将奏瑟吹笙宴请嘉宾. "
keyword_note = {"嘉宾" = "尊贵的客人", "鼓瑟" = "弹奏瑟", "吹笙" = "吹奏笙"}

["明明如月, 何时可掇?"]
note = ['以明月喻贤才, 表达求贤若渴的心情']
content = "明明/如月/, 何时/可掇?/"
translation = "高悬夜空的明月哟, 什么时候可以摘取呢? "
keyword_note = {"明明" = "明亮", "如月" = "像月亮", "可掇" = "可以摘取"}

["忧从中来, 不可断绝."]
note = []
content = "忧从/中来/, 不可/断绝./"
translation = "心中深深的忧思, 喷涌而出不能停止. "
keyword_note = {"忧" = "忧愁", "中" = "心中", "断绝" = "停止"}

["越陌度阡, 枉用相存."]
note = []
content = "越陌/度阡/, 枉用/相存./"
translation = "远方宾客穿越纵横交错的小路, 屈驾前来探望我. "
keyword_note = {"越陌度阡" = "穿过纵横小路", "枉用" = "屈驾", "相存" = "探望我"}

["契阔谈讌, 心念旧恩."]
note = []
content = "契阔/谈讌/, 心念/旧恩./"
translation = "久别重逢谈心宴饮, 重温那往日的恩情. "
keyword_note = {"契阔" = "久别", "谈讌" = "谈心宴饮", "旧恩" = "往日的情谊"}

["月明星稀, 乌鹊南飞."]
note = ['以乌鹊南飞喻贤才寻找明主']
content = "月明/星稀/, 乌鹊/南飞./"
translation = "月光明亮星光稀疏, 一群寻巢的喜鹊向南飞去. "
keyword_note = {"月明" = "月光明亮", "星稀" = "星星稀少", "乌鹊" = "乌鸦喜鹊"}

["绕树三匝, 何枝可依?"]
note = []
content = "绕树/三匝/, 何枝/可依?/"
translation = "环绕着树反复盘旋, 哪里才有它们栖身之处? "
keyword_note = {"绕树" = "绕着树飞", "三匝" = "三圈", "何枝" = "哪个树枝", "可依" = "可以依靠"}

["山不厌高, 海不厌深."]
note = ['以山海为喻, 表达广纳贤才的胸怀']
content = "山不/厌高/, 海不/厌深./"
translation = "高山不辞土石才见巍峨, 大海不弃涓流才见壮阔. "
keyword_note = {"厌" = "满足", "山不厌高" = "山不嫌高", "海不厌深" = "海不嫌深"}

["周公吐哺, 天下归心."]
note = ['用周公典故, 表明自己礼贤下士的决心']
content = "周公/吐哺/, 天下/归心./"
translation = "我愿如周公一般礼贤下士, 愿天下的英杰都真心归顺于我. "
keyword_note = {"周公" = "周文王之子", "吐哺" = "吐出食物 (接待贤士) ", "归心" = "真心归顺"}