56 lines
2.9 KiB
TOML
56 lines
2.9 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 = "山居秋暝"
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license = "CC-BY-SA 4.0"
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desc = "高考古诗文 - 山居秋暝"
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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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["空山新雨后, 天气晚来秋."]
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note = []
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content = "空山/新雨/后/, 天气/晚来/秋./"
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translation = "新雨过后山谷里空旷清新, 初秋傍晚的天气特别凉爽. "
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keyword_note = {"空山" = "空旷, 空寂的山野", "新" = "刚刚", "晚来秋" = "初秋傍晚的天气特别凉爽"}
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["明月松间照, 清泉石上流."]
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note = []
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content = "明月/松间/照/, 清泉/石上/流./"
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translation = "明月映照着幽静的松林间, 清澈泉水在山石上淙淙淌流. "
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keyword_note = {"清泉石上流" = "写的正是雨后的景色"}
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["竹喧归浣女, 莲动下渔舟."]
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note = []
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content = "竹喧/归/浣女/, 莲动/下/渔舟./"
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translation = "竹林里传来喧闹声, 知是少女洗衣归来, 莲叶轻摇知是上游荡下轻舟. "
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keyword_note = {"竹喧" = "竹林中笑语喧哗", "喧" = "笑语喧哗", "浣女" = "洗衣服的女子", "浣" = "洗涤衣物"}
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["随意春芳歇, 王孙自可留."]
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note = []
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content = "随意/春芳/歇/, 王孙/自可/留./"
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translation = "任凭春天的花草消失, 眼前的秋景足以让我流连久居. "
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keyword_note = {"随意" = "任凭", "春芳" = "春天的花草", "歇" = "消散, 消失", "王孙" = "原指贵族子弟, 此处指诗人自己", "留" = "居"}
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