0.4.3 更新后格式

念奴娇·赤壁怀古.toml

@@ -1,54 +1,79 @@
-# 散列表的键翻译
-["keydata"]
+# 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"
 
-# 测试项目元数据
-["testdata"]
-# 记忆时显示的额外信息
-additional_inf = ["translation","keyword_note", "note"]
-# 填空测试, content 指代键名
-fill_blank_test = {"from"=["content"], "hint"=["translation"]}
-# 选择题测试
-draw_card_test = {"from"=["keyword_note"]}
+["__metadata__.formation"] # 文件配置
+delimiter = "/"
+tts_text = "eval:payload['content'].replace('/', '')"
 
-["大江/东去/, 浪/淘尽/, 千古/风流/人物./"]
+["__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"}
+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./"]
+["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"}
+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"]
+["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"}
+keyword_note = {"雪" = "比喻浪花"}
 
-["江山/如画/, 一时/多少/豪杰./"]
+["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"}
+keyword_note = {"豪杰" = "英雄豪杰"}
 
-["遥想/公瑾/当年/, 小乔/初嫁了/, 雄姿/英发./"]
+["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"}
+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"]
+["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"}
+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./"]
+["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"}
+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"]
+["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"}
+keyword_note = {"尊" = "同'樽', 酒杯", "酹" = "洒酒于地, 表示祭奠或立誓"}