# 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 = "临安春雨初霁" license = "CC-BY-SA 4.0" desc = "高考古诗文 - 临安春雨初霁" ["__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"]] ["临安春雨初霁"] note = ['陆游〔宋代〕'] content = "临安/春雨/初霁/" translation = "临安春雨初霁" keyword_note = {"临安" = "南宋都城, 今杭州", "霁" = "雨后或雪后转晴"} ["世味年来薄似纱, 谁令骑马客京华."] note = [] content = "世味/年来/薄似纱/, 谁令/骑马/客/京华./" translation = "这些年世态人情淡薄得似纱, 谁又让我乘马来到京都作客沾染繁华? " keyword_note = {"世味" = "人世滋味; 社会人情", "客" = "客居", "京华" = "京城之美称, 这里指当时的京城临安"} ["小楼一夜听春雨, 深巷明朝卖杏花."] note = [] content = "小楼/一夜/听/春雨/, 深巷/明朝/卖/杏花./" translation = "住在小楼听尽了一夜的春雨淅沥滴答, 明日一早, 深幽的小巷便有人叫卖杏花. " keyword_note = {"深巷" = "很长的巷道", "明朝" = "明日早晨"} ["矮纸斜行闲作草, 晴窗细乳戏分茶."] note = [] content = "矮纸/斜行/闲/作草/, 晴窗/细乳/戏/分茶./" translation = "铺开小纸从容地斜写着草书, 在小雨初晴的窗边细细地煮水、沏茶、撇沫, 试品名茶. " keyword_note = {"矮纸" = "短纸、小纸", "斜行" = "倾斜的行列", "草" = "指草书", "晴窗" = "明亮的窗户", "细乳" = "沏茶时水面呈白色的小泡沫", "分茶" = "宋元时煎茶之法"} ["素衣莫起风尘叹, 犹及清明可到家."] note = [] content = "素衣/莫起/风尘/叹/, 犹及/清明/可/到家./" translation = "不要叹息那京都的尘土会弄脏洁白的衣衫, 清明时节还来得及回到镜湖边的山阴故家. " keyword_note = {"素衣" = "原指白色的衣服, 这里用作代称. 是诗人对自己的谦称", "风尘叹" = "因风尘而叹息. 暗指不必担心京城的不良风气会污染自己的品质"}