新增全流程蓝图分类，重新整理SLyF所有蓝图

2025-12-10 05:13:28 +08:00 · 2023-07-11 10:31:40 +08:00
parent beac1fc2a7
commit 3138b2b8f4
864 changed files with 75 additions and 419 deletions
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/2720_壳面.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/2720_壳面.txt
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/2720_节点.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/2720_节点.txt
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/2720_钢丝.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/2720_钢丝.txt
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/说明.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/2720极密节点戴森球/说明.txt
@@ -0,0 +1,24 @@
+## 简介  
+
+使用计算机优化排列，在不绕开限制的前提下放置尽量多的节点，目前找到最优排列为2720节点(2022.3.5)。从256个随机初始状态起，分别进行10亿轮迭代，取其中的最优解。这次搜索消耗了约500核时。  
+
+## 参与人员
+
+bWFuanVzYWth: 设计优化算法，计算节点坐标，也是项目发起者  
+阿七寇大先生: 开发mod，将坐标导入游戏  
+镍镍: 为算法的优化提出了重要建议  
+看客之眼: 帮忙测试程序，并提供了大量算力  
+
+## 特别感谢
+
+AgNO3 橙棂九月 Grat 车轴草 科幻大脑 CIDT外院的全体成员  
+
+## 使用
+
+共三份蓝图文件，分别为节点/钢丝/完整壳面，都是单层的官方蓝图格式。用记事本打开蓝图，把所有内容复制到剪贴板内，在戴森球蓝图页面先新建一个空层级，然后黏贴到空层级上即可  
+
+## 协议
+
+蓝图文件: 知识共享许可协议 署名-非商业性使用-相同方式共享 4.0 (CC BY-NC-SA 4.0)  
+优化程序: MIT 协议 https://github.com/origin0110/Tammes-Problem  
+mod: 暂时没有说明，默认为阿七寇大先生保留一切权利  
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/500_壳面.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/500_壳面.txt
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/80_壳面.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/80_壳面.txt
@@ -0,0 +1 @@
+DYBP:0,637828781011738604,0.9.24.11286,1,81"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"60A4CB52E59E0C384A9F16BCA1F98E25
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/80_节点.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/80_节点.txt
@@ -0,0 +1 @@
+DYBP:0,637828781735650785,0.9.24.11286,1,81"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"2233E9034038906B9FE6A3DDC6217F83
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/说明.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/最穷(最短框架长度)戴森球蓝图作者“bWFuanVzYWth”/说明.txt
@@ -0,0 +1,13 @@
+## 简介  
+    使用计算机优化排列，可能是最穷球(最短总框架长度)的最优解。注意这个设计是追求尽可能高的逻辑帧用的，而不是节约火箭。有办法可以省掉框架的火箭，但是只要框架画出来就会降低逻辑帧，无关是否建造完成，所以那种做法并不是这个设计的优化方向。
+
+## 参与人员
+    bWFuanVzYWth: 设计优化算法，计算节点坐标，也是项目发起者
+    阿七寇大先生: 开发mod，将坐标导入游戏
+
+## 使用
+    共三份蓝图，分别是80纯节点/80节点带壳/500节点带壳，都是单层的官方蓝图格式。用记事本打开蓝图，把所有内容复制到剪贴板内，在戴森球蓝图页面黏贴即可。
+
+## 协议
+    蓝图文件: 知识共享许可协议 署名-非商业性使用-相同方式共享 4.0 (CC BY-NC-SA 4.0)
+    mod: 暂时没有说明，默认为阿七寇大先生保留一切权利
--- a/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/说明.txt
+++ b/Folder_All_in_one/【T-bit】通用型全流程黑盒2022/戴森球蓝图/说明.txt
@@ -0,0 +1,4 @@
+原作者为B站“bWFuanVzYWth”、“阿七寇大先生”等
+
+蓝图框架少可有效降低计算延迟，提升逻辑帧；
+最密框架则可提供单层最多电量，但计算量数十倍于最少框架，易造成严重卡顿。
				`@@ -0,0 +1 @@`
				DYBP:0,637828781011738604,0.9.24.11286,1,81"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"60A4CB52E59E0C384A9F16BCA1F98E25
				`@@ -0,0 +1 @@`
				DYBP:0,637828781735650785,0.9.24.11286,1,81"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"2233E9034038906B9FE6A3DDC6217F83