# 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·赤壁怀古"
license = "CC-BY-SA 4.0"
desc = "高考古诗文 - 念奴娇·赤壁怀古"

["__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"]]


["大江东去, 浪淘尽, 千古风流人物."]
note = []
content = "大江/东去/, 浪/淘尽/, 千古/风流/人物./"
translation = "滚滚长江向东奔流而去, 千百年来奔腾不息的滔滔巨浪淘尽了多少杰出的英雄人物"
keyword_note = {"大江" = "指长江", "淘" = "冲洗, 冲刷", "风流人物" = "指杰出的历史名人"}

["故垒西边, 人道是, 三国周郎赤壁."]
note = []
content = "故垒/西边/, 人道是/, 三国/周郎/赤壁./"
translation = "旧日营垒的西边, 有人说, 那儿是三国时周瑜大破曹军的赤壁"
keyword_note = {"故垒" = "过去遗留下来的营垒", "周郎" = "指三国时吴国名将周瑜, 字公瑾"}

["乱石穿空, 惊涛拍岸, 卷起千堆雪."]
note = ['穿空 一作: 崩云']
content = "乱石/穿空/, 惊涛/拍岸/, 卷起/千堆雪./"
translation = "只见陡峭纷乱的岩壁耸入云霄, 汹涌澎湃的巨浪拍打着江岸, 卷起无数堆雪白的浪花"
keyword_note = {"雪" = "比喻浪花"}

["江山如画, 一时多少豪杰."]
note = []
content = "江山/如画/, 一时/多少/豪杰./"
translation = "雄壮的江山奇丽如画, 一时间涌现了多少英雄豪杰"
keyword_note = {"豪杰" = "英雄豪杰"}

["遥想公瑾当年, 小乔初嫁了, 雄姿英发."]
note = []
content = "遥想/公瑾/当年/, 小乔/初嫁了/, 雄姿/英发./"
translation = "我不禁遥想起当年的周公瑾, 美丽的小乔刚嫁给他, 英姿雄健风度翩翩神采照人"
keyword_note = {"公瑾" = "周瑜字公瑾", "小乔" = "周瑜之妻", "雄姿英发" = "谓周瑜体貌不凡, 言谈卓绝"}

["羽扇纶巾, 谈笑间, 樯橹灰飞烟灭."]
note = ['樯橹 一作: 强虏']
content = "羽扇/纶巾/, 谈笑间/, 樯橹/灰飞/烟灭./"
translation = "手摇羽扇, 头戴纶巾, 谈笑之间, 就将曹军的战船烧得灰飞烟灭"
keyword_note = {"羽扇纶巾" = "古代儒将的便装打扮", "樯橹" = "这里代指曹操的水军战船"}

["故国神游, 多情应笑我, 早生华发."]
note = []
content = "故国/神游/, 多情/应笑我/, 早生/华发./"
translation = "如今我身临古战场神游往昔, 应笑我多愁善感, 以至于过早生出了白发"
keyword_note = {"故国神游" = "'神游故国'的倒文, 指当年的赤壁战场", "华发" = "花白的头发"}

["人生如梦, 一尊还酹江月."]
note = ['人生 一作: 人间; 尊 同: 樽']
content = "人生/如梦/, 一尊/还酹/江月./"
translation = "人生在世犹如大梦一场, 还是洒一杯酒祭献给江中伴我的明月吧"
keyword_note = {"尊" = "同'樽', 酒杯", "酹" = "洒酒于地, 表示祭奠或立誓"}