80 lines
4.2 KiB
TOML
80 lines
4.2 KiB
TOML
# Nucleon 是 HeurAMS 软件项目使用的基于 TOML 的专有源文件格式, 版本 5
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# 建议使用的 MIME 类型: application/vnd.xyz.imwangzhiyu.heurams-nucleon.v5+toml
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["__metadata__"]
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["__metadata__.attribution"] # 版权元信息
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author = "__heurams__"
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group = "高考古诗文"
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name = "扬州慢"
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license = "CC-BY-SA 4.0"
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desc = "高考古诗文 - 扬州慢"
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["__metadata__.annotation"] # 键批注
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note = "笔记"
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keyword_note = "关键词翻译"
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translation = "语句翻译"
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["__metadata__.formation"] # 文件配置
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delimiter = "/"
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tts_text = "eval:payload['content'].replace('/', '')"
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["__metadata__.orbital.puzzles"] # 谜题定义
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# 我们称 "Recognition" 为 recognition 谜题的 alia
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"Recognition" = { __origin__ = "recognition", __hint__ = "", primary = "eval:payload['content']", secondary = ["eval:payload['keyword_note']", "eval:payload['note']"], top_dim = ["eval:payload['translation']"] }
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"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: " }
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"FillBlank" = { __origin__ = "cloze", __hint__ = "", text = "eval:payload['content']", delimiter = "eval:metadata['formation']['delimiter']", min_denominator = "eval:default['cloze']['min_denominator']"}
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["__metadata__.orbital.schedule"] # 内置的推荐学习方案
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quick_review = [["FillBlank", "1.0"], ["SelectMeaning", "0.5"], ["Recognition", "1.0"]]
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recognition = [["Recognition", "1.0"]]
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final_review = [["FillBlank", "0.7"], ["SelectMeaning", "0.7"], ["Recognition", "1.0"]]
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["淮左名都, 竹西佳处, 解鞍少驻初程."]
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note = []
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content = "淮左/名都/, 竹西/佳处/, 解鞍/少驻/初程./"
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translation = "扬州自古是著名的都会, 这里有著名游览胜地竹西亭, 初到扬州我解鞍下马停留一会儿. "
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keyword_note = {"淮左名都" = "指扬州, 宋朝淮南东路的首府", "竹西" = "竹西亭, 扬州著名游览胜地", "解鞍少驻初程" = "解下马鞍稍作停留, 初段行程"}
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["过春风十里, 尽荠麦青青."]
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note = []
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content = "过/春风/十里/, 尽/荠麦/青青./"
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translation = "昔日繁华热闹的扬州路, 如今长满了青青荠麦, 一片荒凉. "
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keyword_note = {"春风十里" = "借指扬州, 出自杜牧《赠别》诗"}
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["自胡马窥江去后, 废池乔木, 犹厌言兵."]
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note = []
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content = "自/胡马/窥江/去后/, 废池/乔木/, 犹厌/言兵./"
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translation = "金兵侵略长江流域地区, 洗劫扬州后, 只留下残存的古树和废毁的池台, 都不愿再谈论那残酷的战争. "
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keyword_note = {"胡马窥江" = "指金兵侵略长江流域地区", "废池" = "废毁的池台", "乔木" = "残存的古树"}
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["渐黄昏, 清角吹寒, 都在空城."]
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note = []
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content = "渐/黄昏/, 清角/吹寒/, 都在/空城./"
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translation = "临近黄昏, 凄清的号角声响起, 回荡在这座凄凉残破的空城. "
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keyword_note = {"清角" = "凄清的号角声", "空城" = "凄凉残破的空城"}
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["杜郎俊赏, 算而今, 重到须惊."]
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note = []
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content = "杜郎/俊赏/, 算/而今/, 重到/须惊./"
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translation = "杜牧俊逸清赏, 料想他现在再来的话也会感到震惊. "
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keyword_note = {"杜郎" = "杜牧", "俊赏" = "俊逸清赏"}
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["纵豆蔻词工, 青楼梦好, 难赋深情."]
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note = []
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content = "纵/豆蔻/词工/, 青楼/梦好/, 难赋/深情./"
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translation = "即使'豆蔻'词语精工, 青楼美梦的诗意很好, 也难抒写此刻深沉悲怆感情. "
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keyword_note = {"豆蔻词工" = "杜牧《赠别》诗词语精工", "青楼梦好" = "杜牧《遣怀》诗意境很好"}
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["二十四桥仍在, 波心荡, 冷月无声."]
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note = []
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content = "二十四桥/仍在/, 波心/荡/, 冷月/无声./"
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translation = "二十四桥依然还在, 桥下江水水波荡漾, 月色凄冷, 四周寂静无声. "
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keyword_note = {"二十四桥" = "扬州城内古桥"}
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["念桥边红药, 年年知为谁生?"]
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note = []
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content = "念/桥边/红药/, 年年/知为/谁生?/"
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translation = "想那桥边红色的芍药花年年花叶繁荣, 可它们是为谁生长为谁开放呢? "
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keyword_note = {"红药" = "红芍药花, 扬州繁华时期的名花"}
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