# 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 = "扬州慢" license = "CC-BY-SA 4.0" desc = "高考古诗文 - 扬州慢" ["__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"]] ["淮左名都, 竹西佳处, 解鞍少驻初程."] note = [] content = "淮左/名都/, 竹西/佳处/, 解鞍/少驻/初程./" 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. " 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"} ["过春风十里, 尽荠麦青青."] note = [] content = "过/春风/十里/, 尽/荠麦/青青./" translation = "昔日繁华热闹的扬州路, 如今长满了青青荠麦, 一片荒凉. " keyword_note = {"春风十里" = "借指扬州, 出自杜牧《赠别》诗"} ["自胡马窥江去后, 废池乔木, 犹厌言兵."] note = [] content = "自/胡马/窥江/去后/, 废池/乔木/, 犹厌/言兵./" 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. " 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"} ["渐黄昏, 清角吹寒, 都在空城."] note = [] content = "渐/黄昏/, 清角/吹寒/, 都在/空城./" 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. " keyword_note = {"清角" = "凄清的号角声", "空城" = "凄凉残破的空城"} ["杜郎俊赏, 算而今, 重到须惊."] note = [] content = "杜郎/俊赏/, 算/而今/, 重到/须惊./" translation = "杜牧俊逸清赏, 料想他现在再来的话也会感到震惊. " keyword_note = {"杜郎" = "杜牧", "俊赏" = "俊逸清赏"} ["纵豆蔻词工, 青楼梦好, 难赋深情."] note = [] content = "纵/豆蔻/词工/, 青楼/梦好/, 难赋/深情./" 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. " 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"} ["二十四桥仍在, 波心荡, 冷月无声."] note = [] content = "二十四桥/仍在/, 波心/荡/, 冷月/无声./" 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. " keyword_note = {"二十四桥" = "扬州城内古桥"} ["念桥边红药, 年年知为谁生?"] note = [] content = "念/桥边/红药/, 年年/知为/谁生?/" 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? " keyword_note = {"红药" = "红芍药花, 扬州繁华时期的名花"}