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@ -8,21 +8,40 @@ |
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因此,这个项目将通过穷举的方式来得到全部布局的详细信息并录入数据库进行分类整理,再而进行统计分析。 |
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## 文档目录 |
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+ [华容道严格定义](./docs/klotski.md) |
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+ [华容道编码原理](./docs/klotski_code.md) |
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+ [engine的使用](./docs/usage.md) |
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+ [函数库的调用](./docs/demo.md) |
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+ [群的数量统计](./docs/group_num.md) |
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+ [群包含的元素数量统计](./docs/group_size.md) |
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+ [64种分类的元素数量](./docs/jiang_bing_count.md) |
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+ [203种分类的元素数量](./docs/style_count.md) |
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## 数据库下载 |
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下载地址: |
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### 下载地址 |
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[奶牛快传](https://c-t.work/s/9049c41d245646) |
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+ [腾讯微云](https://share.weiyun.com/5nj2lci4) |
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[腾讯微云](https://share.weiyun.com/5nj2lci4) |
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+ [百度网盘](https://pan.baidu.com/s/13GtkrhbDbgA74X4MsuxYqQ)(提取码:9vef) |
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[百度网盘](https://pan.baidu.com/s/13GtkrhbDbgA74X4MsuxYqQ)(提取码:9vef) |
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+ [Github Release](https://github.com/dnomd343/HRD_Database/releases/download/v1.1/HRD_Database.7z) |
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> HRD_Database.7z |
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> MD5: EC67E7E5AACD408367A3ECF3C61E7017 |
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解压后请确认文件MD5 |
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解压后SQL文件哈希值 |
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> HRD_Database.sql |
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> MD5: B395E82B5E9E82E572DA8CB7683ECA41 |
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@ -92,6 +111,7 @@ build文件夹是计算并建立数据库的工作目录,里面的脚本均为 |
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3. 执行release.sh |
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它会将farthest和solution文件夹下全部csv文档分别进行合并,得到./release/farthest.csv与./release/solution.csv这两个文件。 |
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执行下一步之前,请先确认./release/下的文件MD5: |
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| File_name | MD5 | |
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| :-: | :-: | |
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| All_Case.txt | EEB931800E1B6EB10D46DB4DD6A1561F | |
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