# 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 = "登岳阳楼" license = "CC-BY-SA 4.0" desc = "高考古诗文 - 登岳阳楼" ["__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"]] ["昔闻洞庭水, 今上岳阳楼."] note = [] content = "昔闻/洞庭水/, 今上/岳阳楼./" translation = "以前就听说洞庭湖波澜壮阔, 今日终于如愿登上岳阳楼" keyword_note = {"洞庭水" = "即洞庭湖, 在今湖南北部, 长江南岸, 是中国第二淡水湖"} ["吴楚东南坼, 乾坤日夜浮."] note = [] content = "吴楚/东南/坼/, 乾坤/日夜/浮./" translation = "浩瀚的湖水把吴楚两地分隔开来, 整个天地仿似在湖中日夜浮动" keyword_note = {"坼" = "分裂", "乾坤" = "天地, 或指日月", "浮" = "日月星辰和大地昼夜都飘浮在洞庭湖上"} ["亲朋无一字, 老病有孤舟."] note = [] content = "亲朋/无/一字/, 老病/有/孤舟./" translation = "亲朋好友音信全无, 年老多病唯有孤舟一叶飘零无定" keyword_note = {"一字" = "音讯全无, 这里指书信", "老病" = "杜甫时年五十七岁, 身患肺病, 风痹, 右耳已聋", "孤舟" = "唯有孤舟一叶飘零无定"} ["戎马关山北, 凭轩涕泗流."] note = [] content = "戎马/关山/北/, 凭轩/涕泗/流./" translation = "北方边境的战争仍未止息, 凭栏遥望, 胸怀家国泪水横流" keyword_note = {"戎马" = "指战争", "关山北" = "北方边境", "凭轩" = "凭栏", "涕泗流" = "眼泪禁不住地流淌"}