# 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 = "念奴娇·过洞庭"
license = "CC-BY-SA 4.0"
desc = "高考古诗文 - 念奴娇·过洞庭"

["__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"]]


["洞庭青草, 近中秋, 更无一点风色."]
note = []
content = "洞庭/青草/, 近/中秋/, 更/无/一点/风色./"
translation = "洞庭湖与青草湖相连, 浩瀚无边, 在这中秋将至的时节, 更是没有一点风势"
keyword_note = {"洞庭" = "湖名, 在湖南岳阳西南", "青草" = "青草湖, 与洞庭湖相连", "风色" = "风势"}

["玉鉴琼田三万顷, 着我扁舟一叶."]
note = ['着 同: 著', '玉鉴 一作: 玉界']
content = "玉鉴/琼田/三万顷/, 着/我/扁舟/一叶./"
translation = "平静清澈的湖面像白玉磨成的镜子, 像美玉铺成的田地, 有几万顷那么宽阔, 湖上只漂浮着我的一叶扁舟"
keyword_note = {"玉鉴" = "像白玉磨成的镜子", "琼田" = "像美玉铺成的田地", "扁舟" = "小船"}

["素月分辉, 明河共影, 表里俱澄澈."]
note = ['明河 一作: 银河']
content = "素月/分辉/, 明河/共影/, 表里/俱/澄澈./"
translation = "皎洁的明月和灿烂的银河, 在这浩瀚的玉镜中映出她们的芳姿, 水面上下一片澄明"
keyword_note = {"素月" = "洁白的月亮", "明河" = "天河", "表里" = "里里外外, 此处指天上月亮和银河的光辉映入湖中, 上下一片澄明"}

["悠然心会, 妙处难与君说."]
note = []
content = "悠然/心会/, 妙处/难/与/君/说./"
translation = "体会着万物的空明, 这种美妙的体验却不知如何与君分享"
keyword_note = {"悠然" = "闲适自得的样子", "心会" = "内心领会"}

["应念岭海经年, 孤光自照, 肝肺皆冰雪."]
note = ['岭海 一作: 岭表', '肝肺 一作: 肝胆']
content = "应念/岭海/经年/, 孤光/自照/, 肝肺/皆/冰雪./"
translation = "感怀这一轮孤光自照的明月啊, 多少年徘徊于岭海之间, 胸襟仍像冰雪一样透明"
keyword_note = {"岭海" = "岭外, 即五岭以南的两广地区, 作者此前为官广西", "孤光" = "指月光", "冰雪" = "比喻心地光明磊落像冰雪般纯洁"}

["短发萧骚襟袖冷, 稳泛沧浪空阔."]
note = ['短发 一作: 短鬓', '沧浪 一作: 沧冥']
content = "短发/萧骚/襟袖/冷/, 稳/泛/沧浪/空阔./"
translation = "如今我 (虽) 因年老而深感短发稀疏, 衣襟单薄透着寒意,  (但) 我仍能平静地泛舟在这广阔浩淼的苍溟之中"
keyword_note = {"萧骚" = "稀疏", "沧浪" = "青苍色的水"}

["尽挹西江, 细斟北斗, 万象为宾客."]
note = ['尽挹 一作: 尽吸']
content = "尽挹/西江/, 细斟/北斗/, 万象/为/宾客./"
translation = "让我捧尽西江清澈的江水, 细细地斟在北斗星做成的酒勺中, 请天地万象统统来做我的宾客"
keyword_note = {"挹" = "舀", "西江" = "长江连通洞庭湖, 中上游在洞庭以西, 故称西江", "北斗" = "星座名. 由七颗星排成像舀酒的斗的形状", "万象" = "万物"}

["扣舷独啸, 不知今夕何夕!"]
note = ['扣 一作: 叩', '啸 一作: 笑']
content = "扣舷/独啸/, 不知/今夕/何夕!/"
translation = "我尽情地拍打着我的船舷, 独自地放声高歌啊, 不知道今夕是何年! "
keyword_note = {"扣舷" = "敲击船舷", "啸" = "撮口作声", "不知今夕何夕" = "赞叹夜色美好, 使人沉醉, 竟忘掉一切 (包括时间) "}