From 3de599d07f298b31b4454cd24caf2386b830f728 Mon Sep 17 00:00:00 2001 From: bWFuanVzYWth Date: Mon, 14 Apr 2025 13:47:30 +0800 Subject: [PATCH] =?UTF-8?q?=E6=96=B0=E5=A2=9E2724=E8=8A=82=E7=82=B9?= =?UTF-8?q?=E7=90=83=EF=BC=8C=E4=BF=AE=E6=94=B9readme?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 18 ++++----- .../5个正四面体戴森球 5 Regular Tetrahedral.txt | 0 .../仙术116.txt | 0 ...术12面体戴森球蓝图_重叠4层 illegal 12-hedron.txt | 0 .../仙术最短_有瑕疵 illegal Shortest.txt | 0 .../刺球 Thorn Sphere.txt | 0 ...球体 带壳2696节点 Dense Sphere with 2696 nodes.txt | 0 .../2720_壳面 2720_shell surface.txt | 0 .../2720_节点 2720_node.txt | 0 .../2720_钢丝 2720 steel_wire.txt | 0 .../说明 illustrate.md | 0 .../2724_原始数据 2724 raw_data.txt | 0 .../2724_壳面 2724_shell.txt | 1 + .../2724_节点 2724_node.txt | 0 .../说明 illustrate.md | 38 +++++++++++++++++++ .../500_壳面 500 shell_surface.txt | 1 - .../80_壳面 80 shell_surface.txt | 1 - .../说明 illustrate.md | 19 ---------- .../450节点 450 nodes.txt | 0 .../450节点+框架 450 nodes + frame.txt | 0 .../450节点+框架+32壳面 450 nodes + frame + shell.txt | 0 .../450节点+框架+壳面_10层 450 nodes + frame + shell 10 layers.txt | 0 .../60节点 60 nodes.txt | 0 .../60节点+框架 60 nodes + frame.txt | 0 .../60节点+框架+壳面 60 nodes + frame + shell.txt | 0 .../60节点+框架+壳面_10层 60 nodes + frame + shell 10 layers.txt | 0 .../原始坐标数据 raw coordinate data.txt | 0 .../说明 .md | 0 .../说明 illustrate.md | 0 ...96节点无壳--46.36 2696 nodes without shell --46.36.txt | 0 .../7号 好大的锅 No. 7 is a big pot.txt | 0 ...型（修改） B Star 10 Orbit Ornamental Type (Modified).txt | 0 .../Communism-BV1NV4y1a7RR.txt | 0 .../lotus dsp.txt | 0 .../s弧线--34.99 s arc -- 34.99.txt | 0 .../[戴森球]巨构_戴森球.txt | 0 .../[戴森球]巨构_曲率增压场.txt | 0 .../[戴森球]巨构_环世界.txt | 0 .../[戴森球]巨构_电弧熔炉_视频预览BV1NWwzemEs3.txt | 0 .../[戴森球]巨构_脉冲时计_视频预览BV13XwzeZEL7.txt | 0 .../[戴森球]巨构_量子弹弓.txt | 0 .../[戴森球]巨构_零素提取器_视频预览BV1cYwzerEYY.txt | 0 .../万圣节主题--50.9 Halloween theme--50.9.txt | 0 .../三重部落--36.71 Mie Village--36.71.txt | 0 ...bili_BV1Y14y1m7UD Immortal Lotus_bilibili_BV1Y14y1m7UD.txt | 0 .../中子星尼维达 neutron star Nividar.txt | 0 ...尼维达修改版 Modified version of Neutron Star Nivada.txt | 0 .../临界 Critical.txt | 0 .../云_BV1e94y1b72P.txt | 0 ...层彩球--50.25 Five layers of colored balls--50.25.txt | 0 .../DNF命运齿轮 DNF Gears of Destiny.txt | 0 .../三层网格 three layer grid.txt | 0 .../五叶草 Clover.txt | 0 .../五角镂空 Pentagon hollow.txt | 0 .../五边形 Pentagon.txt | 0 .../代码 The Code.txt | 0 .../信号 Signal.txt | 0 .../光环 Halo.txt | 0 .../六叶草 Six Leaf Clover.txt | 0 .../六芒星 Hexagram.txt | 0 .../六角帆 Hexagonal Sail.txt | 0 .../六角镂空 Hexagonal Hollow.txt | 0 .../写轮眼1 Sharingan 1.txt | 0 .../写轮眼2 Sharingan 2.txt | 0 .../冠状病毒 Coronavirus.txt | 0 .../十字 The Cross.txt | 0 .../原子模型 Atomic Model.txt | 0 .../圆盘 Disc.txt | 0 .../声波 Sound Wave.txt | 0 .../太极 Tai Chi.txt | 0 .../对称漩涡 Symmetrical Vortex.txt | 0 .../布朗运动 Brownian Motion.txt | 0 .../希尔伯特曲线 Hilbert Curve.txt | 0 .../幽浮 UFO.txt | 0 .../引力约束 Gravitational Constraints.txt | 0 .../心电图 Electrocardiogram.txt | 0 .../恒星胶囊 Stellar Capsule.txt | 0 .../排风扇 Exhaust Fan.txt | 0 .../搓球界面 Rubbing Interface.txt | 0 .../时钟 Clock.txt | 0 .../曲折 Tortuous.txt | 0 .../木头镯子 Wodden Bracelet.txt | 0 .../柱 Pillar.txt | 0 .../标靶 Target.txt | 0 .../毛衣花纹 Sweater Pattern.txt | 0 .../水晶碎片 Crystal Shards.txt | 0 .../渐变 Gradient.txt | 0 .../烟花 Fireworks.txt | 0 .../王冠 Crown.txt | 0 .../环 Rung.txt | 0 .../电磁铁 electromagnet.txt | 0 .../盛开 Bloom.txt | 0 .../破损卷轴 Broken Scroll.txt | 0 .../破损精灵球 Broken Poké Ball.txt | 0 .../细菌 Bacteria.txt | 0 .../结晶 Crystallization.txt | 0 .../编织 To Weave.txt | 0 .../缠绕 Twine.txt | 0 .../聚变 Fusion.txt | 0 .../节拍 The Beat.txt | 0 .../花环 Wreath.txt | 0 .../花盆 Flowerpot.txt | 0 .../蓝图使用说明 Blueprint Instructions.md | 0 .../蜂巢 Honeycomb.txt | 0 .../蜘蛛 Spider.txt | 0 .../蜿蜒 Winding.txt | 0 .../足球 Football.txt | 0 .../轮毂 Hub.txt | 0 .../轮胎 Tire.txt | 0 .../配电 Power Distribution.txt | 0 .../钢丝球 Steel Wool.txt | 0 .../镰刀锤子 Sickle Hammer.txt | 0 .../阿戈摩托之眼 Eye of Agamotto.txt | 0 ...ili_BV1BP4y1v7x6 Icarus Visited Here_bilibili_BV1BP4y1v7x6.txt | 0 ...密度--11.46 Optimized Sphere Medium Node Density -- 11.46.txt | 0 .../佛怒唐莲绽放版-BV1VC4y1F7vA.txt | 0 .../佛怒塘莲初级版-BV1VC4y1F7vA.txt | 0 .../原子 Atom.txt | 0 .../原神_胡桃_云_BV1Lp4y1J7i4.txt | 0 .../原神_胡桃_球_BV1Lp4y1J7i4.txt | 0 .../双彩莲--10.22 Double lotus--10.22.txt | 0 .../吃豆人--5.22 Pac-Man - 5.22.txt | 0 .../四螺旋彩虹--46.15 Four Spiral Rainbows - 46.15.txt | 0 .../四角旋涡--25.26 Four-corner vortex--25.26.txt | 0 .../地球--6.25 Earth - 6.25.txt | 0 .../地球2--5.58 Earth 2--5.58.txt | 0 .../壳_BV1e94y1b72P.txt | 0 .../大面积类足球--37.99 Large area football -- 37.99.txt | 0 .../太极--30.8 Tai Chi -- 30.8.txt | 0 .../孢子 (1) Spores (1).txt | 0 .../孢子 spore.txt | 0 .../孤星-BV1Up4y177zV.txt | 0 .../宏聚之环-BV1VC4y1F7vA.txt | 0 .../宝可梦精灵球--32.77 Pokémon Elf Ball--32.77.txt | 0 ...结构球体--86.7 Dense triangular structure sphere--86.7.txt | 0 .../封面壳子 Cover Case.txt | 0 .../带状球--70.76 Ribbon -- 70.76.txt | 0 .../座天使--20.9 Seat Angel--20.9.txt | 0 .../彩带--11.77 Ribbons -- 11.77.txt | 0 ...类足球--46.7 Performance optimization football -- 46.7.txt | 0 .../恒星花2.0 Stellar Flower 2.0.txt | 0 ...化多面体--39.05 Cost Optimization Polyhedron - 39.05.txt | 0 .../星与钻--25.9 Star and Diamond--25.9.txt | 0 .../框 Frame.txt | 0 .../死星--17.84 Death Star -- 17.84.txt | 0 .../洋葱--81.23 Onion -- 81.23.txt | 0 ...包裹--40.53 Gradient color flower full package--40.53.txt | 0 .../爆炸方块--23.97 Explosion Cube - 23.97.txt | 0 .../爆炸球体--21.04 Exploding Spheres - 21.04.txt | 0 .../爬网蜘蛛--44.42 Crawling Spider -- 44.42.txt | 0 .../珍珠贝--23.12 Pearl Oyster -- 23.12.txt | 0 .../璀璨灰烬 Bright Ashes.txt | 0 .../白曜石 Obsidian.txt | 0 .../白银的溪流-贴吧.txt | 0 .../皮福尔球--27.49 Pifour Ball -- 27.49.txt | 0 .../笑脸--19.22 Smiley - 19.22.txt | 0 .../类 Kind.txt | 0 ...旋内包--41.82 Red and purple spiral inner bag--41.82.txt | 0 .../红莲--11.28 Red Lotus--11.28.txt | 0 .../红莲戴森球 Red Lotus Dyson Ball.txt | 0 .../缀天 The Sky.txt | 0 .../群星：千载星辰 Stars- A Thousand Years of Stars.txt | 0 .../聚变反应堆--44.23 Fusion Reactor -- 44.23.txt | 0 .../脉冲引擎 Pulse Engine.txt | 0 .../艾尔登球--28.12 Eldon Ball -- 28.12.txt | 0 .../蓝莲花-BV1VC4y1F7vA.txt | 0 .../虚空伯奇世界 Void Birch World.txt | 0 .../螺旋领域--32.01 Spiral field -- 32.01.txt | 0 .../装置00和04--2.78 Devices 00 and 04 -- 2.78.txt | 0 .../赤道八卦 Equator Gossip.txt | 0 .../金丹戴森球蓝图 Jindan Dyson Sphere Blueprint.txt | 0 .../银冠 Silver Crown.txt | 0 .../银冠--10.85 Silver Crown - 10.85.txt | 0 .../锚点 Anchor Point.txt | 0 .../长菱形与星--42.76 Rhomboid and star - 42.76.txt | 0 .../长菱形与星2--56.76 Rhomboid and Star 2--56.76.txt | 0 .../陀螺仪--12.21 Gyroscope - 12.21.txt | 0 .../黑洞戴森球蓝图 Black Hole Dyson Sphere Blueprint.txt | 0 .../黑白螺旋--13.07 Black and white spiral -- 13.07.txt | 0 179 files changed, 47 insertions(+), 31 deletions(-) rename {仙术球 illegal Dyson Sphere => 仙术球 XianShu Dyson Sphere}/5个正四面体戴森球 5 Regular Tetrahedral.txt (100%) rename {仙术球 => 仙术球 XianShu Dyson Sphere}/仙术116.txt (100%) rename {仙术球 illegal Dyson Sphere => 仙术球 XianShu Dyson Sphere}/仙术12面体戴森球蓝图_重叠4层 illegal 12-hedron.txt (100%) rename {仙术球 illegal Dyson Sphere => 仙术球 XianShu Dyson Sphere}/仙术最短_有瑕疵 illegal Shortest.txt (100%) rename {仙术球 illegal Dyson Sphere => 仙术球 XianShu Dyson Sphere}/刺球 Thorn Sphere.txt (100%) rename {仙术球 illegal Dyson Sphere => 仙术球 XianShu Dyson Sphere}/密集球体 带壳2696节点 Dense Sphere with 2696 nodes.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最密)2720极密节点戴森球 2720 dense => 2720节点极密戴森球 Dense 2720 Nodes}/2720_壳面 2720_shell surface.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最密)2720极密节点戴森球 2720 dense => 2720节点极密戴森球 Dense 2720 Nodes}/2720_节点 2720_node.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最密)2720极密节点戴森球 2720 dense => 2720节点极密戴森球 Dense 2720 Nodes}/2720_钢丝 2720 steel_wire.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最密)2720极密节点戴森球 2720 dense => 2720节点极密戴森球 Dense 2720 Nodes}/说明 illustrate.md (100%) rename 实用向戴森球 Practical Dyson Sphere/{(施工中，更密)2724 Underconstruction, denser 2724 => 2724节点极密戴森球 Densest 2724 Nodes}/2724_原始数据 2724 raw_data.txt (100%) create mode 100644 实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_壳面 2724_shell.txt rename 实用向戴森球 Practical Dyson Sphere/{(施工中，更密)2724 Underconstruction, denser 2724 => 2724节点极密戴森球 Densest 2724 Nodes}/2724_节点 2724_node.txt (100%) create mode 100644 实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/说明 illustrate.md delete mode 100644 实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/500_壳面 500 shell_surface.txt delete mode 100644 实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/80_壳面 80 shell_surface.txt delete mode 100644 实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/说明 illustrate.md rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/450节点 450 nodes.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/450节点+框架 450 nodes + frame.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/450节点+框架+32壳面 450 nodes + frame + shell.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/450节点+框架+壳面_10层 450 nodes + frame + shell 10 layers.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/60节点 60 nodes.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/60节点+框架 60 nodes + frame.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/60节点+框架+壳面 60 nodes + frame + shell.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/60节点+框架+壳面_10层 60 nodes + frame + shell 10 layers.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/原始坐标数据 raw coordinate data.txt (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/说明 .md (100%) rename 实用向戴森球 Practical Dyson Sphere/{(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball => 60节点最简戴森球 Shortest 60 Nodes}/说明 illustrate.md (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/2696节点无壳--46.36 2696 nodes without shell --46.36.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/7号 好大的锅 No. 7 is a big pot.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/B星10轨道 观赏型（修改） B Star 10 Orbit Ornamental Type (Modified).txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/Communism-BV1NV4y1a7RR.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/lotus dsp.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/s弧线--34.99 s arc -- 34.99.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_戴森球.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_曲率增压场.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_环世界.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_电弧熔炉_视频预览BV1NWwzemEs3.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_脉冲时计_视频预览BV13XwzeZEL7.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_量子弹弓.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_零素提取器_视频预览BV1cYwzerEYY.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/万圣节主题--50.9 Halloween theme--50.9.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/三重部落--36.71 Mie Village--36.71.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/不朽莲花_bilibili_BV1Y14y1m7UD Immortal Lotus_bilibili_BV1Y14y1m7UD.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/中子星尼维达 neutron star Nividar.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/中子星尼维达修改版 Modified version of Neutron Star Nivada.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/临界 Critical.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/云_BV1e94y1b72P.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/五层彩球--50.25 Five layers of colored balls--50.25.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/DNF命运齿轮 DNF Gears of Destiny.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/三层网格 three layer grid.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五叶草 Clover.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五角镂空 Pentagon hollow.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五边形 Pentagon.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/代码 The Code.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/信号 Signal.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/光环 Halo.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六叶草 Six Leaf Clover.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六芒星 Hexagram.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角帆 Hexagonal Sail.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角镂空 Hexagonal Hollow.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼1 Sharingan 1.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼2 Sharingan 2.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/冠状病毒 Coronavirus.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/十字 The Cross.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/原子模型 Atomic Model.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/圆盘 Disc.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/声波 Sound Wave.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/太极 Tai Chi.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/对称漩涡 Symmetrical Vortex.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/布朗运动 Brownian Motion.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/希尔伯特曲线 Hilbert Curve.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/幽浮 UFO.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/引力约束 Gravitational Constraints.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/心电图 Electrocardiogram.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/恒星胶囊 Stellar Capsule.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/排风扇 Exhaust Fan.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/搓球界面 Rubbing Interface.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/时钟 Clock.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/曲折 Tortuous.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/木头镯子 Wodden Bracelet.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/柱 Pillar.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/标靶 Target.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/毛衣花纹 Sweater Pattern.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/水晶碎片 Crystal Shards.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/渐变 Gradient.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/烟花 Fireworks.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/王冠 Crown.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/环 Rung.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/电磁铁 electromagnet.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/盛开 Bloom.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损卷轴 Broken Scroll.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损精灵球 Broken Poké Ball.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/细菌 Bacteria.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/结晶 Crystallization.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/编织 To Weave.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/缠绕 Twine.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/聚变 Fusion.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/节拍 The Beat.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花环 Wreath.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花盆 Flowerpot.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蓝图使用说明 Blueprint Instructions.md (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜂巢 Honeycomb.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜘蛛 Spider.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜿蜒 Winding.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/足球 Football.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮毂 Hub.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮胎 Tire.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/配电 Power Distribution.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/钢丝球 Steel Wool.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/镰刀锤子 Sickle Hammer.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/阿戈摩托之眼 Eye of Agamotto.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/伊卡洛斯到此一游_bilibili_BV1BP4y1v7x6 Icarus Visited Here_bilibili_BV1BP4y1v7x6.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/优化球中等节点密度--11.46 Optimized Sphere Medium Node Density -- 11.46.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/佛怒唐莲绽放版-BV1VC4y1F7vA.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/佛怒塘莲初级版-BV1VC4y1F7vA.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/原子 Atom.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/原神_胡桃_云_BV1Lp4y1J7i4.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/原神_胡桃_球_BV1Lp4y1J7i4.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/双彩莲--10.22 Double lotus--10.22.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/吃豆人--5.22 Pac-Man - 5.22.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/四螺旋彩虹--46.15 Four Spiral Rainbows - 46.15.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/四角旋涡--25.26 Four-corner vortex--25.26.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/地球--6.25 Earth - 6.25.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/地球2--5.58 Earth 2--5.58.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/壳_BV1e94y1b72P.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/大面积类足球--37.99 Large area football -- 37.99.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/太极--30.8 Tai Chi -- 30.8.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/孢子 (1) Spores (1).txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/孢子 spore.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/孤星-BV1Up4y177zV.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/宏聚之环-BV1VC4y1F7vA.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/宝可梦精灵球--32.77 Pokémon Elf Ball--32.77.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/密集三角结构球体--86.7 Dense triangular structure sphere--86.7.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/封面壳子 Cover Case.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/带状球--70.76 Ribbon -- 70.76.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/座天使--20.9 Seat Angel--20.9.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/彩带--11.77 Ribbons -- 11.77.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/性能优化类足球--46.7 Performance optimization football -- 46.7.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/恒星花2.0 Stellar Flower 2.0.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/成本优化多面体--39.05 Cost Optimization Polyhedron - 39.05.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/星与钻--25.9 Star and Diamond--25.9.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/框 Frame.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/死星--17.84 Death Star -- 17.84.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/洋葱--81.23 Onion -- 81.23.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/渐变色花全包裹--40.53 Gradient color flower full package--40.53.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/爆炸方块--23.97 Explosion Cube - 23.97.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/爆炸球体--21.04 Exploding Spheres - 21.04.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/爬网蜘蛛--44.42 Crawling Spider -- 44.42.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/珍珠贝--23.12 Pearl Oyster -- 23.12.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/璀璨灰烬 Bright Ashes.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/白曜石 Obsidian.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/白银的溪流-贴吧.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/皮福尔球--27.49 Pifour Ball -- 27.49.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/笑脸--19.22 Smiley - 19.22.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/类 Kind.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/红紫螺旋内包--41.82 Red and purple spiral inner bag--41.82.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/红莲--11.28 Red Lotus--11.28.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/红莲戴森球 Red Lotus Dyson Ball.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/缀天 The Sky.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/群星：千载星辰 Stars- A Thousand Years of Stars.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/聚变反应堆--44.23 Fusion Reactor -- 44.23.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/脉冲引擎 Pulse Engine.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/艾尔登球--28.12 Eldon Ball -- 28.12.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/蓝莲花-BV1VC4y1F7vA.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/虚空伯奇世界 Void Birch World.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/螺旋领域--32.01 Spiral field -- 32.01.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/装置00和04--2.78 Devices 00 and 04 -- 2.78.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/赤道八卦 Equator Gossip.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/金丹戴森球蓝图 Jindan Dyson Sphere Blueprint.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/银冠 Silver Crown.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/银冠--10.85 Silver Crown - 10.85.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/锚点 Anchor Point.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/长菱形与星--42.76 Rhomboid and star - 42.76.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/长菱形与星2--56.76 Rhomboid and Star 2--56.76.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/陀螺仪--12.21 Gyroscope - 12.21.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/黑洞戴森球蓝图 Black Hole Dyson Sphere Blueprint.txt (100%) rename {观赏向戴森球 Ornamental => 观赏向戴森球 Ornamental Dyson Sphere}/黑白螺旋--13.07 Black and white spiral -- 13.07.txt (100%) diff --git a/README.md b/README.md index aeb046a..29f42c3 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,14 @@ # 戴森球计划 戴森球蓝图 | Dyson Sphere Program Dyson Sphere Blueprint * 不同类型的戴森球蓝图需要粘贴在不同的位置，戴森球蓝图的使用方法：https://www.bilibili.com/read/cv26637315 -## 常用蓝图 (点击打开所在文件夹) | Common Blueprints - -* 金莲：[金丹戴森球蓝图](./观赏向戴森球 Ornamental)
Golden Lotus: [Golden Core Dyson Sphere Blueprint](./观赏向戴森球 Ornamental) -* 红莲：[红莲戴森球](./观赏向戴森球 Ornamental)
Guren: [Gurren Dyson Sphere](./观赏向戴森球 Ornamental) -* 最省性能的发电球: [最短框架450节点+框架+32壳面](./实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball)
The most performance-efficient power generation ball: [the shortest frame 450 nodes + frame + shell surface](./实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball) -* 最高电量的发电球: [2720极密节点戴森球](./实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense)
The power generation sphere with the highest power: [2720 extremely dense node Dyson Sphere](./实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense) --- -这是游戏**戴森球计划**中的蓝图仓库，用于储存与分享来自社区的戴森球蓝图
This is the blueprint repository in the game **Dyson Sphere Program**, used to store and share Dyson sphere blueprints from the community +这是游戏**戴森球计划**中的蓝图仓库，用于储存与分享来自社区的戴森球蓝图 + This is the blueprint repository in the game **Dyson Sphere Program**, used to store and share Dyson sphere blueprints from the community -您可以加入交流群并将蓝图上传到群文件，我们将不定时将群文件中的蓝图分类上传到仓库中，如有遗漏可以在群里提醒我们。您也可以通过pull request的形式直接投稿，请根据蓝图功能投稿到最合适的文件夹。
You can join the communication group and upload the blueprint to the group file. We will classify and upload the blueprint in the group file to the warehouse from time to time. If there is any omission, you can remind us in the group. You can also submit directly in the form of pull request, please submit to the most appropriate folder according to the blueprint function. +您可以加入交流群并将蓝图上传到群文件，我们将不定时将群文件中的蓝图分类上传到仓库中，如有遗漏可以在群里提醒我们。您也可以通过pull request的形式直接投稿，请根据蓝图功能投稿到最合适的文件夹。 + You can join the communication group and upload the blueprint to the group file. We will classify and upload the blueprint in the group file to the warehouse from time to time. If there is any omission, you can remind us in the group. You can also submit directly in the form of pull request, please submit to the most appropriate folder according to the blueprint function. 除了github，您可以通过这些方式联系我们： (QQ群) @@ -37,5 +33,7 @@ ## 协议 | Protocol -1. 如果蓝图作者对自己的蓝图发布使用协议，则自从使用协议发布起，对相关蓝图使用蓝图作者发布的使用协议。
If the blueprint author publishes a usage agreement for his own blueprint, the usage agreement published by the blueprint author will be used for the relevant blueprint since the usage agreement is released. -2. 若无特殊声明，蓝图仓库内的一切蓝图及其他文件使用默认协议：**知识共享 署名-非商业性使用-相同方式共享 4.0 国际(CC BY-NC-SA 4.0)**。
Unless otherwise stated, all blueprints and other files in the blueprint repository use the default license: **Creative Commons Attribution-Non-Commercial-Share Alike 4.0 International (CC BY-NC-SA 4.0)**. +1. 如果蓝图作者对自己的蓝图发布使用协议，则自从使用协议发布起，对相关蓝图使用蓝图作者发布的使用协议。 + If the blueprint author publishes a usage agreement for his own blueprint, the usage agreement published by the blueprint author will be used for the relevant blueprint since the usage agreement is released. +2. 若无特殊声明，蓝图仓库内的一切蓝图及其他文件使用默认协议：**知识共享 署名-非商业性使用-相同方式共享 4.0 国际(CC BY-NC-SA 4.0)**。 + Unless otherwise stated, all blueprints and other files in the blueprint repository use the default license: **Creative Commons Attribution-Non-Commercial-Share Alike 4.0 International (CC BY-NC-SA 4.0)**. diff --git a/仙术球 illegal Dyson Sphere/5个正四面体戴森球 5 Regular Tetrahedral.txt b/仙术球 XianShu Dyson Sphere/5个正四面体戴森球 5 Regular Tetrahedral.txt similarity index 100% rename from 仙术球 illegal Dyson Sphere/5个正四面体戴森球 5 Regular Tetrahedral.txt rename to 仙术球 XianShu Dyson Sphere/5个正四面体戴森球 5 Regular Tetrahedral.txt diff --git a/仙术球/仙术116.txt b/仙术球 XianShu Dyson Sphere/仙术116.txt similarity index 100% rename from 仙术球/仙术116.txt rename to 仙术球 XianShu Dyson Sphere/仙术116.txt diff --git a/仙术球 illegal Dyson Sphere/仙术12面体戴森球蓝图_重叠4层 illegal 12-hedron.txt b/仙术球 XianShu Dyson Sphere/仙术12面体戴森球蓝图_重叠4层 illegal 12-hedron.txt similarity index 100% rename from 仙术球 illegal Dyson Sphere/仙术12面体戴森球蓝图_重叠4层 illegal 12-hedron.txt rename to 仙术球 XianShu Dyson Sphere/仙术12面体戴森球蓝图_重叠4层 illegal 12-hedron.txt diff --git a/仙术球 illegal Dyson Sphere/仙术最短_有瑕疵 illegal Shortest.txt b/仙术球 XianShu Dyson Sphere/仙术最短_有瑕疵 illegal Shortest.txt similarity index 100% rename from 仙术球 illegal Dyson Sphere/仙术最短_有瑕疵 illegal Shortest.txt rename to 仙术球 XianShu Dyson Sphere/仙术最短_有瑕疵 illegal Shortest.txt diff --git a/仙术球 illegal Dyson Sphere/刺球 Thorn Sphere.txt b/仙术球 XianShu Dyson Sphere/刺球 Thorn Sphere.txt similarity index 100% rename from 仙术球 illegal Dyson Sphere/刺球 Thorn Sphere.txt rename to 仙术球 XianShu Dyson Sphere/刺球 Thorn Sphere.txt diff --git a/仙术球 illegal Dyson Sphere/密集球体 带壳2696节点 Dense Sphere with 2696 nodes.txt b/仙术球 XianShu Dyson Sphere/密集球体 带壳2696节点 Dense Sphere with 2696 nodes.txt similarity index 100% rename from 仙术球 illegal Dyson Sphere/密集球体 带壳2696节点 Dense Sphere with 2696 nodes.txt rename to 仙术球 XianShu Dyson Sphere/密集球体 带壳2696节点 Dense Sphere with 2696 nodes.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/2720_壳面 2720_shell surface.txt b/实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/2720_壳面 2720_shell surface.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/2720_壳面 2720_shell surface.txt rename to 实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/2720_壳面 2720_shell surface.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/2720_节点 2720_node.txt b/实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/2720_节点 2720_node.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/2720_节点 2720_node.txt rename to 实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/2720_节点 2720_node.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/2720_钢丝 2720 steel_wire.txt b/实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/2720_钢丝 2720 steel_wire.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/2720_钢丝 2720 steel_wire.txt rename to 实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/2720_钢丝 2720 steel_wire.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/说明 illustrate.md b/实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/说明 illustrate.md similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最密)2720极密节点戴森球 2720 dense/说明 illustrate.md rename to 实用向戴森球 Practical Dyson Sphere/2720节点极密戴森球 Dense 2720 Nodes/说明 illustrate.md diff --git a/实用向戴森球 Practical Dyson Sphere/(施工中，更密)2724 Underconstruction, denser 2724/2724_原始数据 2724 raw_data.txt b/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_原始数据 2724 raw_data.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(施工中，更密)2724 Underconstruction, denser 2724/2724_原始数据 2724 raw_data.txt rename to 实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_原始数据 2724 raw_data.txt diff --git a/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_壳面 2724_shell.txt b/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_壳面 2724_shell.txt new file mode 100644 index 0000000..d704c48 --- /dev/null +++ b/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_壳面 2724_shell.txt @@ -0,0 +1 @@ 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"D5E976C62EFEDCD5740B03EC56716413 \ No newline at end of file diff --git a/实用向戴森球 Practical Dyson Sphere/(施工中，更密)2724 Underconstruction, denser 2724/2724_节点 2724_node.txt b/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_节点 2724_node.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(施工中，更密)2724 Underconstruction, denser 2724/2724_节点 2724_node.txt rename to 实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/2724_节点 2724_node.txt diff --git a/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/说明 illustrate.md b/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/说明 illustrate.md new file mode 100644 index 0000000..2097332 --- /dev/null +++ b/实用向戴森球 Practical Dyson Sphere/2724节点极密戴森球 Densest 2724 Nodes/说明 illustrate.md @@ -0,0 +1,38 @@ +# 2724极密节点戴森球 | 2724 extremely dense node Dyson sphere + +## 简介 | Introduction + +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2724节点(2025.4.14)。从256个随机初始状态起，分别进行100亿轮迭代，取其中的最优解。这次搜索消耗了约5000核时。 +Use the computer to optimize the arrangement, and place as many nodes as possible without bypassing the restrictions. Currently, the optimal arrangement is 2724 nodes (2025.4.14). Starting from 256 random initial states, 10 billion rounds of iterations are performed respectively, and the optimal solution among them is taken. This search consumed about 5000 core hours. + +## 参与人员 | participants + +bWFuanVzYWth: 设计优化算法，计算节点坐标，也是项目发起者 +bWFuanVzYWth: Design optimization algorithm, calculate node coordinates, also the project initiator +阿七寇大先生: 开发mod，将坐标导入游戏 +阿七寇大先生: Develop mods and import coordinates into the game +镍镍: 为算法的优化提出了重要建议 +Ni: made important suggestions for the optimization of the algorithm +看客之眼: 帮忙测试程序，并提供了大量算力 +看客之眼: Help test the program and provide a lot of computing power +Umbradei: 连接节点，完成壳面蓝图 +Umbradei: Connect the nodes into frames and shells + +## 特别感谢 | Special thanks + +AgNO3 Grat 车轴草 科幻大脑 CIDT外院的全体成员 +AgNO3 Grat Trifolium sci-fi brain All members of the CIDT Outer Court + +## 使用 | Usage + +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 +There are three blueprint files in total, namely node/wire/complete shell surface, all of which are single-layer official blueprint formats. Open the blueprint with Notepad, copy all the content to the clipboard, create a new empty layer on the Dyson sphere blueprint page, and then paste it to the empty layer. + +## 协议 | Protocol + +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) +Blueprint file: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) +优化程序: MIT 协议 https://github.com/bWFuanVzYWth/Tammes-Problem +Optimizer: MIT License https://github.com/bWFuanVzYWth/Tammes-Problem +mod: 暂时没有说明，默认为阿七寇大先生保留一切权利 +mod: There is no explanation for the time being, the default is that Mr. Aqi Kouda reserves all rights diff --git a/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/500_壳面 500 shell_surface.txt b/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/500_壳面 500 shell_surface.txt deleted file mode 100644 index d8d1c5a..0000000 --- a/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/500_壳面 500 shell_surface.txt +++ /dev/null @@ -1 +0,0 @@ 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"79CE6244DB23FA9A86B808F5AACDA9EF \ No newline at end of file diff --git a/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/80_壳面 80 shell_surface.txt b/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/80_壳面 80 shell_surface.txt deleted file mode 100644 index d56a7de..0000000 --- a/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/80_壳面 80 shell_surface.txt +++ /dev/null @@ -1 +0,0 @@ -DYBP:0,637828781011738604,0.9.24.11286,1,81"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"60A4CB52E59E0C384A9F16BCA1F98E25 \ No newline at end of file diff --git a/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/说明 illustrate.md b/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/说明 illustrate.md deleted file mode 100644 index 3196352..0000000 --- a/实用向戴森球 Practical Dyson Sphere/500节点较短框架 500 node shorter frame/说明 illustrate.md +++ /dev/null @@ -1,19 +0,0 @@ -# (已过时，建议移步450节点) | (Obsolete, it is recommended to move to 450 nodes) - -## 简介 | Introduction - -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。
Using a computer to optimize the arrangement, it may be the optimal solution for the poorest sphere (shortest total frame length). Note that this design is for the pursuit of the highest logical frame possible, not to save rockets. There is a way to save the rocket of the frame, but as long as the frame is drawn, the logical frame will be reduced, regardless of whether it is built or not, so that approach is not the optimization direction of this design. - -## 参与人员 | Participants - -bWFuanVzYWth: 设计优化算法，计算节点坐标，也是项目发起者
bWFuanVzYWth: Design optimization algorithm, calculate node coordinates, also the project initiator -阿七寇大先生: 开发mod，将坐标导入游戏
Mr. Ah Qi Kou Da: Develop mods and import coordinates into the game - -## 使用 | Use - -共三份蓝图，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。
There are two blueprints in total, 80 nodes with shells/500 nodes with shells, all of which are single-layer official blueprint formats. Open the blueprint with Notepad, copy all the content to the clipboard, and paste it on the Dyson Sphere blueprint page. - -## 协议 | Protocol - -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)
Blueprint file: Creative Commons Attribution-NonCommercial-ShareAlike 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
mod: There is no explanation for the time being, the default is that Mr. Aqi Kouda reserves all rights \ No newline at end of file diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点 450 nodes.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点 450 nodes.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点 450 nodes.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点 450 nodes.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点+框架 450 nodes + frame.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点+框架 450 nodes + frame.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点+框架 450 nodes + frame.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点+框架 450 nodes + frame.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点+框架+32壳面 450 nodes + frame + shell.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点+框架+32壳面 450 nodes + frame + shell.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点+框架+32壳面 450 nodes + frame + shell.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点+框架+32壳面 450 nodes + frame + shell.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点+框架+壳面_10层 450 nodes + frame + shell 10 layers.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点+框架+壳面_10层 450 nodes + frame + shell 10 layers.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/450节点+框架+壳面_10层 450 nodes + frame + shell 10 layers.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/450节点+框架+壳面_10层 450 nodes + frame + shell 10 layers.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点 60 nodes.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点 60 nodes.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点 60 nodes.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点 60 nodes.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点+框架 60 nodes + frame.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点+框架 60 nodes + frame.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点+框架 60 nodes + frame.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点+框架 60 nodes + frame.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点+框架+壳面 60 nodes + frame + shell.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点+框架+壳面 60 nodes + frame + shell.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点+框架+壳面 60 nodes + frame + shell.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点+框架+壳面 60 nodes + frame + shell.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点+框架+壳面_10层 60 nodes + frame + shell 10 layers.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点+框架+壳面_10层 60 nodes + frame + shell 10 layers.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/60节点+框架+壳面_10层 60 nodes + frame + shell 10 layers.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/60节点+框架+壳面_10层 60 nodes + frame + shell 10 layers.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/原始坐标数据 raw coordinate data.txt b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/原始坐标数据 raw coordinate data.txt similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/原始坐标数据 raw coordinate data.txt rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/原始坐标数据 raw coordinate data.txt diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/说明 .md b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/说明 .md similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/说明 .md rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/说明 .md diff --git a/实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/说明 illustrate.md b/实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/说明 illustrate.md similarity index 100% rename from 实用向戴森球 Practical Dyson Sphere/(目前最稀)最短框架戴森球 (Currently the rarest) shortest frame Dyson ball/说明 illustrate.md rename to 实用向戴森球 Practical Dyson Sphere/60节点最简戴森球 Shortest 60 Nodes/说明 illustrate.md diff --git a/观赏向戴森球 Ornamental/2696节点无壳--46.36 2696 nodes without shell --46.36.txt b/观赏向戴森球 Ornamental Dyson Sphere/2696节点无壳--46.36 2696 nodes without shell --46.36.txt similarity index 100% rename from 观赏向戴森球 Ornamental/2696节点无壳--46.36 2696 nodes without shell --46.36.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/2696节点无壳--46.36 2696 nodes without shell --46.36.txt diff --git a/观赏向戴森球 Ornamental/7号 好大的锅 No. 7 is a big pot.txt b/观赏向戴森球 Ornamental Dyson Sphere/7号 好大的锅 No. 7 is a big pot.txt similarity index 100% rename from 观赏向戴森球 Ornamental/7号 好大的锅 No. 7 is a big pot.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/7号 好大的锅 No. 7 is a big pot.txt diff --git a/观赏向戴森球 Ornamental/B星10轨道 观赏型（修改） B Star 10 Orbit Ornamental Type (Modified).txt b/观赏向戴森球 Ornamental Dyson Sphere/B星10轨道 观赏型（修改） B Star 10 Orbit Ornamental Type (Modified).txt similarity index 100% rename from 观赏向戴森球 Ornamental/B星10轨道 观赏型（修改） B Star 10 Orbit Ornamental Type (Modified).txt rename to 观赏向戴森球 Ornamental Dyson Sphere/B星10轨道 观赏型（修改） B Star 10 Orbit Ornamental Type (Modified).txt diff --git a/观赏向戴森球 Ornamental/Communism-BV1NV4y1a7RR.txt b/观赏向戴森球 Ornamental Dyson Sphere/Communism-BV1NV4y1a7RR.txt similarity index 100% rename from 观赏向戴森球 Ornamental/Communism-BV1NV4y1a7RR.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/Communism-BV1NV4y1a7RR.txt diff --git a/观赏向戴森球 Ornamental/lotus dsp.txt b/观赏向戴森球 Ornamental Dyson Sphere/lotus dsp.txt similarity index 100% rename from 观赏向戴森球 Ornamental/lotus dsp.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/lotus dsp.txt diff --git a/观赏向戴森球 Ornamental/s弧线--34.99 s arc -- 34.99.txt b/观赏向戴森球 Ornamental Dyson Sphere/s弧线--34.99 s arc -- 34.99.txt similarity index 100% rename from 观赏向戴森球 Ornamental/s弧线--34.99 s arc -- 34.99.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/s弧线--34.99 s arc -- 34.99.txt diff --git a/观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_戴森球.txt b/观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_戴森球.txt similarity index 100% rename from 观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_戴森球.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_戴森球.txt diff --git a/观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_曲率增压场.txt b/观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_曲率增压场.txt similarity index 100% rename from 观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_曲率增压场.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_曲率增压场.txt diff --git a/观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_环世界.txt b/观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_环世界.txt similarity index 100% rename from 观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_环世界.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_环世界.txt diff --git a/观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_电弧熔炉_视频预览BV1NWwzemEs3.txt b/观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_电弧熔炉_视频预览BV1NWwzemEs3.txt similarity index 100% rename from 观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_电弧熔炉_视频预览BV1NWwzemEs3.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_电弧熔炉_视频预览BV1NWwzemEs3.txt diff --git a/观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_脉冲时计_视频预览BV13XwzeZEL7.txt b/观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_脉冲时计_视频预览BV13XwzeZEL7.txt similarity index 100% rename from 观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_脉冲时计_视频预览BV13XwzeZEL7.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_脉冲时计_视频预览BV13XwzeZEL7.txt diff --git a/观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_量子弹弓.txt b/观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_量子弹弓.txt similarity index 100% rename from 观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_量子弹弓.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_量子弹弓.txt diff --git a/观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_零素提取器_视频预览BV1cYwzerEYY.txt b/观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_零素提取器_视频预览BV1cYwzerEYY.txt similarity index 100% rename from 观赏向戴森球 Ornamental/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_零素提取器_视频预览BV1cYwzerEYY.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/【TTenYX】戴森球合集：群星巨构(含视频预览)/[戴森球]巨构_零素提取器_视频预览BV1cYwzerEYY.txt diff --git a/观赏向戴森球 Ornamental/万圣节主题--50.9 Halloween theme--50.9.txt b/观赏向戴森球 Ornamental Dyson Sphere/万圣节主题--50.9 Halloween theme--50.9.txt similarity index 100% rename from 观赏向戴森球 Ornamental/万圣节主题--50.9 Halloween theme--50.9.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/万圣节主题--50.9 Halloween theme--50.9.txt diff --git a/观赏向戴森球 Ornamental/三重部落--36.71 Mie Village--36.71.txt b/观赏向戴森球 Ornamental Dyson Sphere/三重部落--36.71 Mie Village--36.71.txt similarity index 100% rename from 观赏向戴森球 Ornamental/三重部落--36.71 Mie Village--36.71.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/三重部落--36.71 Mie Village--36.71.txt diff --git a/观赏向戴森球 Ornamental/不朽莲花_bilibili_BV1Y14y1m7UD Immortal Lotus_bilibili_BV1Y14y1m7UD.txt b/观赏向戴森球 Ornamental Dyson Sphere/不朽莲花_bilibili_BV1Y14y1m7UD Immortal Lotus_bilibili_BV1Y14y1m7UD.txt similarity index 100% rename from 观赏向戴森球 Ornamental/不朽莲花_bilibili_BV1Y14y1m7UD Immortal Lotus_bilibili_BV1Y14y1m7UD.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/不朽莲花_bilibili_BV1Y14y1m7UD Immortal Lotus_bilibili_BV1Y14y1m7UD.txt diff --git a/观赏向戴森球 Ornamental/中子星尼维达 neutron star Nividar.txt b/观赏向戴森球 Ornamental Dyson Sphere/中子星尼维达 neutron star Nividar.txt similarity index 100% rename from 观赏向戴森球 Ornamental/中子星尼维达 neutron star Nividar.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/中子星尼维达 neutron star Nividar.txt diff --git a/观赏向戴森球 Ornamental/中子星尼维达修改版 Modified version of Neutron Star Nivada.txt b/观赏向戴森球 Ornamental Dyson Sphere/中子星尼维达修改版 Modified version of Neutron Star Nivada.txt similarity index 100% rename from 观赏向戴森球 Ornamental/中子星尼维达修改版 Modified version of Neutron Star Nivada.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/中子星尼维达修改版 Modified version of Neutron Star Nivada.txt diff --git a/观赏向戴森球 Ornamental/临界 Critical.txt b/观赏向戴森球 Ornamental Dyson Sphere/临界 Critical.txt similarity index 100% rename from 观赏向戴森球 Ornamental/临界 Critical.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/临界 Critical.txt diff --git a/观赏向戴森球 Ornamental/云_BV1e94y1b72P.txt b/观赏向戴森球 Ornamental Dyson Sphere/云_BV1e94y1b72P.txt similarity index 100% rename from 观赏向戴森球 Ornamental/云_BV1e94y1b72P.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/云_BV1e94y1b72P.txt diff --git a/观赏向戴森球 Ornamental/五层彩球--50.25 Five layers of colored balls--50.25.txt b/观赏向戴森球 Ornamental Dyson Sphere/五层彩球--50.25 Five layers of colored balls--50.25.txt similarity index 100% rename from 观赏向戴森球 Ornamental/五层彩球--50.25 Five layers of colored balls--50.25.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/五层彩球--50.25 Five layers of colored balls--50.25.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/DNF命运齿轮 DNF Gears of Destiny.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/DNF命运齿轮 DNF Gears of Destiny.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/DNF命运齿轮 DNF Gears of Destiny.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/DNF命运齿轮 DNF Gears of Destiny.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/三层网格 three layer grid.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/三层网格 three layer grid.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/三层网格 three layer grid.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/三层网格 three layer grid.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五叶草 Clover.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五叶草 Clover.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五叶草 Clover.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五叶草 Clover.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五角镂空 Pentagon hollow.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五角镂空 Pentagon hollow.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五角镂空 Pentagon hollow.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五角镂空 Pentagon hollow.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五边形 Pentagon.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五边形 Pentagon.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五边形 Pentagon.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/五边形 Pentagon.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/代码 The Code.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/代码 The Code.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/代码 The Code.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/代码 The Code.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/信号 Signal.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/信号 Signal.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/信号 Signal.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/信号 Signal.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/光环 Halo.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/光环 Halo.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/光环 Halo.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/光环 Halo.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六叶草 Six Leaf Clover.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六叶草 Six Leaf Clover.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六叶草 Six Leaf Clover.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六叶草 Six Leaf Clover.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六芒星 Hexagram.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六芒星 Hexagram.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六芒星 Hexagram.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六芒星 Hexagram.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角帆 Hexagonal Sail.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角帆 Hexagonal Sail.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角帆 Hexagonal Sail.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角帆 Hexagonal Sail.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角镂空 Hexagonal Hollow.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角镂空 Hexagonal Hollow.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角镂空 Hexagonal Hollow.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/六角镂空 Hexagonal Hollow.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼1 Sharingan 1.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼1 Sharingan 1.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼1 Sharingan 1.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼1 Sharingan 1.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼2 Sharingan 2.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼2 Sharingan 2.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼2 Sharingan 2.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/写轮眼2 Sharingan 2.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/冠状病毒 Coronavirus.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/冠状病毒 Coronavirus.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/冠状病毒 Coronavirus.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/冠状病毒 Coronavirus.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/十字 The Cross.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/十字 The Cross.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/十字 The Cross.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/十字 The Cross.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/原子模型 Atomic Model.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/原子模型 Atomic Model.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/原子模型 Atomic Model.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/原子模型 Atomic Model.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/圆盘 Disc.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/圆盘 Disc.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/圆盘 Disc.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/圆盘 Disc.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/声波 Sound Wave.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/声波 Sound Wave.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/声波 Sound Wave.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/声波 Sound Wave.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/太极 Tai Chi.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/太极 Tai Chi.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/太极 Tai Chi.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/太极 Tai Chi.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/对称漩涡 Symmetrical Vortex.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/对称漩涡 Symmetrical Vortex.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/对称漩涡 Symmetrical Vortex.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/对称漩涡 Symmetrical Vortex.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/布朗运动 Brownian Motion.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/布朗运动 Brownian Motion.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/布朗运动 Brownian Motion.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/布朗运动 Brownian Motion.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/希尔伯特曲线 Hilbert Curve.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/希尔伯特曲线 Hilbert Curve.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/希尔伯特曲线 Hilbert Curve.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/希尔伯特曲线 Hilbert Curve.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/幽浮 UFO.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/幽浮 UFO.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/幽浮 UFO.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/幽浮 UFO.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/引力约束 Gravitational Constraints.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/引力约束 Gravitational Constraints.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/引力约束 Gravitational Constraints.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/引力约束 Gravitational Constraints.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/心电图 Electrocardiogram.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/心电图 Electrocardiogram.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/心电图 Electrocardiogram.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/心电图 Electrocardiogram.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/恒星胶囊 Stellar Capsule.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/恒星胶囊 Stellar Capsule.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/恒星胶囊 Stellar Capsule.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/恒星胶囊 Stellar Capsule.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/排风扇 Exhaust Fan.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/排风扇 Exhaust Fan.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/排风扇 Exhaust Fan.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/排风扇 Exhaust Fan.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/搓球界面 Rubbing Interface.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/搓球界面 Rubbing Interface.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/搓球界面 Rubbing Interface.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/搓球界面 Rubbing Interface.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/时钟 Clock.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/时钟 Clock.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/时钟 Clock.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/时钟 Clock.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/曲折 Tortuous.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/曲折 Tortuous.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/曲折 Tortuous.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/曲折 Tortuous.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/木头镯子 Wodden Bracelet.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/木头镯子 Wodden Bracelet.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/木头镯子 Wodden Bracelet.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/木头镯子 Wodden Bracelet.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/柱 Pillar.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/柱 Pillar.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/柱 Pillar.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/柱 Pillar.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/标靶 Target.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/标靶 Target.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/标靶 Target.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/标靶 Target.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/毛衣花纹 Sweater Pattern.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/毛衣花纹 Sweater Pattern.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/毛衣花纹 Sweater Pattern.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/毛衣花纹 Sweater Pattern.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/水晶碎片 Crystal Shards.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/水晶碎片 Crystal Shards.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/水晶碎片 Crystal Shards.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/水晶碎片 Crystal Shards.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/渐变 Gradient.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/渐变 Gradient.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/渐变 Gradient.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/渐变 Gradient.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/烟花 Fireworks.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/烟花 Fireworks.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/烟花 Fireworks.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/烟花 Fireworks.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/王冠 Crown.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/王冠 Crown.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/王冠 Crown.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/王冠 Crown.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/环 Rung.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/环 Rung.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/环 Rung.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/环 Rung.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/电磁铁 electromagnet.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/电磁铁 electromagnet.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/电磁铁 electromagnet.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/电磁铁 electromagnet.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/盛开 Bloom.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/盛开 Bloom.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/盛开 Bloom.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/盛开 Bloom.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损卷轴 Broken Scroll.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损卷轴 Broken Scroll.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损卷轴 Broken Scroll.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损卷轴 Broken Scroll.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损精灵球 Broken Poké Ball.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损精灵球 Broken Poké Ball.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损精灵球 Broken Poké Ball.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/破损精灵球 Broken Poké Ball.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/细菌 Bacteria.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/细菌 Bacteria.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/细菌 Bacteria.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/细菌 Bacteria.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/结晶 Crystallization.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/结晶 Crystallization.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/结晶 Crystallization.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/结晶 Crystallization.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/编织 To Weave.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/编织 To Weave.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/编织 To Weave.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/编织 To Weave.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/缠绕 Twine.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/缠绕 Twine.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/缠绕 Twine.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/缠绕 Twine.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/聚变 Fusion.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/聚变 Fusion.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/聚变 Fusion.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/聚变 Fusion.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/节拍 The Beat.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/节拍 The Beat.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/节拍 The Beat.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/节拍 The Beat.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花环 Wreath.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花环 Wreath.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花环 Wreath.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花环 Wreath.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花盆 Flowerpot.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花盆 Flowerpot.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花盆 Flowerpot.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/花盆 Flowerpot.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蓝图使用说明 Blueprint Instructions.md b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蓝图使用说明 Blueprint Instructions.md similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蓝图使用说明 Blueprint Instructions.md rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蓝图使用说明 Blueprint Instructions.md diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜂巢 Honeycomb.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜂巢 Honeycomb.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜂巢 Honeycomb.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜂巢 Honeycomb.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜘蛛 Spider.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜘蛛 Spider.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜘蛛 Spider.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜘蛛 Spider.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜿蜒 Winding.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜿蜒 Winding.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜿蜒 Winding.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/蜿蜒 Winding.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/足球 Football.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/足球 Football.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/足球 Football.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/足球 Football.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮毂 Hub.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮毂 Hub.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮毂 Hub.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮毂 Hub.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮胎 Tire.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮胎 Tire.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮胎 Tire.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/轮胎 Tire.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/配电 Power Distribution.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/配电 Power Distribution.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/配电 Power Distribution.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/配电 Power Distribution.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/钢丝球 Steel Wool.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/钢丝球 Steel Wool.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/钢丝球 Steel Wool.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/钢丝球 Steel Wool.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/镰刀锤子 Sickle Hammer.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/镰刀锤子 Sickle Hammer.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/镰刀锤子 Sickle Hammer.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/镰刀锤子 Sickle Hammer.txt diff --git a/观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/阿戈摩托之眼 Eye of Agamotto.txt b/观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/阿戈摩托之眼 Eye of Agamotto.txt similarity index 100% rename from 观赏向戴森球 Ornamental/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/阿戈摩托之眼 Eye of Agamotto.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/今天起叫二胖_62球合集 Call me Erpang today_62 ball collection/阿戈摩托之眼 Eye of Agamotto.txt diff --git a/观赏向戴森球 Ornamental/伊卡洛斯到此一游_bilibili_BV1BP4y1v7x6 Icarus Visited Here_bilibili_BV1BP4y1v7x6.txt b/观赏向戴森球 Ornamental Dyson Sphere/伊卡洛斯到此一游_bilibili_BV1BP4y1v7x6 Icarus Visited Here_bilibili_BV1BP4y1v7x6.txt similarity index 100% rename from 观赏向戴森球 Ornamental/伊卡洛斯到此一游_bilibili_BV1BP4y1v7x6 Icarus Visited Here_bilibili_BV1BP4y1v7x6.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/伊卡洛斯到此一游_bilibili_BV1BP4y1v7x6 Icarus Visited Here_bilibili_BV1BP4y1v7x6.txt diff --git a/观赏向戴森球 Ornamental/优化球中等节点密度--11.46 Optimized Sphere Medium Node Density -- 11.46.txt b/观赏向戴森球 Ornamental Dyson Sphere/优化球中等节点密度--11.46 Optimized Sphere Medium Node Density -- 11.46.txt similarity index 100% rename from 观赏向戴森球 Ornamental/优化球中等节点密度--11.46 Optimized Sphere Medium Node Density -- 11.46.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/优化球中等节点密度--11.46 Optimized Sphere Medium Node Density -- 11.46.txt diff --git a/观赏向戴森球 Ornamental/佛怒唐莲绽放版-BV1VC4y1F7vA.txt b/观赏向戴森球 Ornamental Dyson Sphere/佛怒唐莲绽放版-BV1VC4y1F7vA.txt similarity index 100% rename from 观赏向戴森球 Ornamental/佛怒唐莲绽放版-BV1VC4y1F7vA.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/佛怒唐莲绽放版-BV1VC4y1F7vA.txt diff --git a/观赏向戴森球 Ornamental/佛怒塘莲初级版-BV1VC4y1F7vA.txt b/观赏向戴森球 Ornamental Dyson Sphere/佛怒塘莲初级版-BV1VC4y1F7vA.txt similarity index 100% rename from 观赏向戴森球 Ornamental/佛怒塘莲初级版-BV1VC4y1F7vA.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/佛怒塘莲初级版-BV1VC4y1F7vA.txt diff --git a/观赏向戴森球 Ornamental/原子 Atom.txt b/观赏向戴森球 Ornamental Dyson Sphere/原子 Atom.txt similarity index 100% rename from 观赏向戴森球 Ornamental/原子 Atom.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/原子 Atom.txt diff --git a/观赏向戴森球 Ornamental/原神_胡桃_云_BV1Lp4y1J7i4.txt b/观赏向戴森球 Ornamental Dyson Sphere/原神_胡桃_云_BV1Lp4y1J7i4.txt similarity index 100% rename from 观赏向戴森球 Ornamental/原神_胡桃_云_BV1Lp4y1J7i4.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/原神_胡桃_云_BV1Lp4y1J7i4.txt diff --git a/观赏向戴森球 Ornamental/原神_胡桃_球_BV1Lp4y1J7i4.txt b/观赏向戴森球 Ornamental Dyson Sphere/原神_胡桃_球_BV1Lp4y1J7i4.txt similarity index 100% rename from 观赏向戴森球 Ornamental/原神_胡桃_球_BV1Lp4y1J7i4.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/原神_胡桃_球_BV1Lp4y1J7i4.txt diff --git a/观赏向戴森球 Ornamental/双彩莲--10.22 Double lotus--10.22.txt b/观赏向戴森球 Ornamental Dyson Sphere/双彩莲--10.22 Double lotus--10.22.txt similarity index 100% rename from 观赏向戴森球 Ornamental/双彩莲--10.22 Double lotus--10.22.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/双彩莲--10.22 Double lotus--10.22.txt diff --git a/观赏向戴森球 Ornamental/吃豆人--5.22 Pac-Man - 5.22.txt b/观赏向戴森球 Ornamental Dyson Sphere/吃豆人--5.22 Pac-Man - 5.22.txt similarity index 100% rename from 观赏向戴森球 Ornamental/吃豆人--5.22 Pac-Man - 5.22.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/吃豆人--5.22 Pac-Man - 5.22.txt diff --git a/观赏向戴森球 Ornamental/四螺旋彩虹--46.15 Four Spiral Rainbows - 46.15.txt b/观赏向戴森球 Ornamental Dyson Sphere/四螺旋彩虹--46.15 Four Spiral Rainbows - 46.15.txt similarity index 100% rename from 观赏向戴森球 Ornamental/四螺旋彩虹--46.15 Four Spiral Rainbows - 46.15.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/四螺旋彩虹--46.15 Four Spiral Rainbows - 46.15.txt diff --git a/观赏向戴森球 Ornamental/四角旋涡--25.26 Four-corner vortex--25.26.txt b/观赏向戴森球 Ornamental Dyson Sphere/四角旋涡--25.26 Four-corner vortex--25.26.txt similarity index 100% rename from 观赏向戴森球 Ornamental/四角旋涡--25.26 Four-corner vortex--25.26.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/四角旋涡--25.26 Four-corner vortex--25.26.txt diff --git a/观赏向戴森球 Ornamental/地球--6.25 Earth - 6.25.txt b/观赏向戴森球 Ornamental Dyson Sphere/地球--6.25 Earth - 6.25.txt similarity index 100% rename from 观赏向戴森球 Ornamental/地球--6.25 Earth - 6.25.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/地球--6.25 Earth - 6.25.txt diff --git a/观赏向戴森球 Ornamental/地球2--5.58 Earth 2--5.58.txt b/观赏向戴森球 Ornamental Dyson Sphere/地球2--5.58 Earth 2--5.58.txt similarity index 100% rename from 观赏向戴森球 Ornamental/地球2--5.58 Earth 2--5.58.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/地球2--5.58 Earth 2--5.58.txt diff --git a/观赏向戴森球 Ornamental/壳_BV1e94y1b72P.txt b/观赏向戴森球 Ornamental Dyson Sphere/壳_BV1e94y1b72P.txt similarity index 100% rename from 观赏向戴森球 Ornamental/壳_BV1e94y1b72P.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/壳_BV1e94y1b72P.txt diff --git a/观赏向戴森球 Ornamental/大面积类足球--37.99 Large area football -- 37.99.txt b/观赏向戴森球 Ornamental Dyson Sphere/大面积类足球--37.99 Large area football -- 37.99.txt similarity index 100% rename from 观赏向戴森球 Ornamental/大面积类足球--37.99 Large area football -- 37.99.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/大面积类足球--37.99 Large area football -- 37.99.txt diff --git a/观赏向戴森球 Ornamental/太极--30.8 Tai Chi -- 30.8.txt b/观赏向戴森球 Ornamental Dyson Sphere/太极--30.8 Tai Chi -- 30.8.txt similarity index 100% rename from 观赏向戴森球 Ornamental/太极--30.8 Tai Chi -- 30.8.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/太极--30.8 Tai Chi -- 30.8.txt diff --git a/观赏向戴森球 Ornamental/孢子 (1) Spores (1).txt b/观赏向戴森球 Ornamental Dyson Sphere/孢子 (1) Spores (1).txt similarity index 100% rename from 观赏向戴森球 Ornamental/孢子 (1) Spores (1).txt rename to 观赏向戴森球 Ornamental Dyson Sphere/孢子 (1) Spores (1).txt diff --git a/观赏向戴森球 Ornamental/孢子 spore.txt b/观赏向戴森球 Ornamental Dyson Sphere/孢子 spore.txt similarity index 100% rename from 观赏向戴森球 Ornamental/孢子 spore.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/孢子 spore.txt diff --git a/观赏向戴森球 Ornamental/孤星-BV1Up4y177zV.txt b/观赏向戴森球 Ornamental Dyson Sphere/孤星-BV1Up4y177zV.txt similarity index 100% rename from 观赏向戴森球 Ornamental/孤星-BV1Up4y177zV.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/孤星-BV1Up4y177zV.txt diff --git a/观赏向戴森球 Ornamental/宏聚之环-BV1VC4y1F7vA.txt b/观赏向戴森球 Ornamental Dyson Sphere/宏聚之环-BV1VC4y1F7vA.txt similarity index 100% rename from 观赏向戴森球 Ornamental/宏聚之环-BV1VC4y1F7vA.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/宏聚之环-BV1VC4y1F7vA.txt diff --git a/观赏向戴森球 Ornamental/宝可梦精灵球--32.77 Pokémon Elf Ball--32.77.txt b/观赏向戴森球 Ornamental Dyson Sphere/宝可梦精灵球--32.77 Pokémon Elf Ball--32.77.txt similarity index 100% rename from 观赏向戴森球 Ornamental/宝可梦精灵球--32.77 Pokémon Elf Ball--32.77.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/宝可梦精灵球--32.77 Pokémon Elf Ball--32.77.txt diff --git a/观赏向戴森球 Ornamental/密集三角结构球体--86.7 Dense triangular structure sphere--86.7.txt b/观赏向戴森球 Ornamental Dyson Sphere/密集三角结构球体--86.7 Dense triangular structure sphere--86.7.txt similarity index 100% rename from 观赏向戴森球 Ornamental/密集三角结构球体--86.7 Dense triangular structure sphere--86.7.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/密集三角结构球体--86.7 Dense triangular structure sphere--86.7.txt diff --git a/观赏向戴森球 Ornamental/封面壳子 Cover Case.txt b/观赏向戴森球 Ornamental Dyson Sphere/封面壳子 Cover Case.txt similarity index 100% rename from 观赏向戴森球 Ornamental/封面壳子 Cover Case.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/封面壳子 Cover Case.txt diff --git a/观赏向戴森球 Ornamental/带状球--70.76 Ribbon -- 70.76.txt b/观赏向戴森球 Ornamental Dyson Sphere/带状球--70.76 Ribbon -- 70.76.txt similarity index 100% rename from 观赏向戴森球 Ornamental/带状球--70.76 Ribbon -- 70.76.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/带状球--70.76 Ribbon -- 70.76.txt diff --git a/观赏向戴森球 Ornamental/座天使--20.9 Seat Angel--20.9.txt b/观赏向戴森球 Ornamental Dyson Sphere/座天使--20.9 Seat Angel--20.9.txt similarity index 100% rename from 观赏向戴森球 Ornamental/座天使--20.9 Seat Angel--20.9.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/座天使--20.9 Seat Angel--20.9.txt diff --git a/观赏向戴森球 Ornamental/彩带--11.77 Ribbons -- 11.77.txt b/观赏向戴森球 Ornamental Dyson Sphere/彩带--11.77 Ribbons -- 11.77.txt similarity index 100% rename from 观赏向戴森球 Ornamental/彩带--11.77 Ribbons -- 11.77.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/彩带--11.77 Ribbons -- 11.77.txt diff --git a/观赏向戴森球 Ornamental/性能优化类足球--46.7 Performance optimization football -- 46.7.txt b/观赏向戴森球 Ornamental Dyson Sphere/性能优化类足球--46.7 Performance optimization football -- 46.7.txt similarity index 100% rename from 观赏向戴森球 Ornamental/性能优化类足球--46.7 Performance optimization football -- 46.7.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/性能优化类足球--46.7 Performance optimization football -- 46.7.txt diff --git a/观赏向戴森球 Ornamental/恒星花2.0 Stellar Flower 2.0.txt b/观赏向戴森球 Ornamental Dyson Sphere/恒星花2.0 Stellar Flower 2.0.txt similarity index 100% rename from 观赏向戴森球 Ornamental/恒星花2.0 Stellar Flower 2.0.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/恒星花2.0 Stellar Flower 2.0.txt diff --git a/观赏向戴森球 Ornamental/成本优化多面体--39.05 Cost Optimization Polyhedron - 39.05.txt b/观赏向戴森球 Ornamental Dyson Sphere/成本优化多面体--39.05 Cost Optimization Polyhedron - 39.05.txt similarity index 100% rename from 观赏向戴森球 Ornamental/成本优化多面体--39.05 Cost Optimization Polyhedron - 39.05.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/成本优化多面体--39.05 Cost Optimization Polyhedron - 39.05.txt diff --git a/观赏向戴森球 Ornamental/星与钻--25.9 Star and Diamond--25.9.txt b/观赏向戴森球 Ornamental Dyson Sphere/星与钻--25.9 Star and Diamond--25.9.txt similarity index 100% rename from 观赏向戴森球 Ornamental/星与钻--25.9 Star and Diamond--25.9.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/星与钻--25.9 Star and Diamond--25.9.txt diff --git a/观赏向戴森球 Ornamental/框 Frame.txt b/观赏向戴森球 Ornamental Dyson Sphere/框 Frame.txt similarity index 100% rename from 观赏向戴森球 Ornamental/框 Frame.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/框 Frame.txt diff --git a/观赏向戴森球 Ornamental/死星--17.84 Death Star -- 17.84.txt b/观赏向戴森球 Ornamental Dyson Sphere/死星--17.84 Death Star -- 17.84.txt similarity index 100% rename from 观赏向戴森球 Ornamental/死星--17.84 Death Star -- 17.84.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/死星--17.84 Death Star -- 17.84.txt diff --git a/观赏向戴森球 Ornamental/洋葱--81.23 Onion -- 81.23.txt b/观赏向戴森球 Ornamental Dyson Sphere/洋葱--81.23 Onion -- 81.23.txt similarity index 100% rename from 观赏向戴森球 Ornamental/洋葱--81.23 Onion -- 81.23.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/洋葱--81.23 Onion -- 81.23.txt diff --git a/观赏向戴森球 Ornamental/渐变色花全包裹--40.53 Gradient color flower full package--40.53.txt b/观赏向戴森球 Ornamental Dyson Sphere/渐变色花全包裹--40.53 Gradient color flower full package--40.53.txt similarity index 100% rename from 观赏向戴森球 Ornamental/渐变色花全包裹--40.53 Gradient color flower full package--40.53.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/渐变色花全包裹--40.53 Gradient color flower full package--40.53.txt diff --git a/观赏向戴森球 Ornamental/爆炸方块--23.97 Explosion Cube - 23.97.txt b/观赏向戴森球 Ornamental Dyson Sphere/爆炸方块--23.97 Explosion Cube - 23.97.txt similarity index 100% rename from 观赏向戴森球 Ornamental/爆炸方块--23.97 Explosion Cube - 23.97.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/爆炸方块--23.97 Explosion Cube - 23.97.txt diff --git a/观赏向戴森球 Ornamental/爆炸球体--21.04 Exploding Spheres - 21.04.txt b/观赏向戴森球 Ornamental Dyson Sphere/爆炸球体--21.04 Exploding Spheres - 21.04.txt similarity index 100% rename from 观赏向戴森球 Ornamental/爆炸球体--21.04 Exploding Spheres - 21.04.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/爆炸球体--21.04 Exploding Spheres - 21.04.txt diff --git a/观赏向戴森球 Ornamental/爬网蜘蛛--44.42 Crawling Spider -- 44.42.txt b/观赏向戴森球 Ornamental Dyson Sphere/爬网蜘蛛--44.42 Crawling Spider -- 44.42.txt similarity index 100% rename from 观赏向戴森球 Ornamental/爬网蜘蛛--44.42 Crawling Spider -- 44.42.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/爬网蜘蛛--44.42 Crawling Spider -- 44.42.txt diff --git a/观赏向戴森球 Ornamental/珍珠贝--23.12 Pearl Oyster -- 23.12.txt b/观赏向戴森球 Ornamental Dyson Sphere/珍珠贝--23.12 Pearl Oyster -- 23.12.txt similarity index 100% rename from 观赏向戴森球 Ornamental/珍珠贝--23.12 Pearl Oyster -- 23.12.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/珍珠贝--23.12 Pearl Oyster -- 23.12.txt diff --git a/观赏向戴森球 Ornamental/璀璨灰烬 Bright Ashes.txt b/观赏向戴森球 Ornamental Dyson Sphere/璀璨灰烬 Bright Ashes.txt similarity index 100% rename from 观赏向戴森球 Ornamental/璀璨灰烬 Bright Ashes.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/璀璨灰烬 Bright Ashes.txt diff --git a/观赏向戴森球 Ornamental/白曜石 Obsidian.txt b/观赏向戴森球 Ornamental Dyson Sphere/白曜石 Obsidian.txt similarity index 100% rename from 观赏向戴森球 Ornamental/白曜石 Obsidian.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/白曜石 Obsidian.txt diff --git a/观赏向戴森球 Ornamental/白银的溪流-贴吧.txt b/观赏向戴森球 Ornamental Dyson Sphere/白银的溪流-贴吧.txt similarity index 100% rename from 观赏向戴森球 Ornamental/白银的溪流-贴吧.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/白银的溪流-贴吧.txt diff --git a/观赏向戴森球 Ornamental/皮福尔球--27.49 Pifour Ball -- 27.49.txt b/观赏向戴森球 Ornamental Dyson Sphere/皮福尔球--27.49 Pifour Ball -- 27.49.txt similarity index 100% rename from 观赏向戴森球 Ornamental/皮福尔球--27.49 Pifour Ball -- 27.49.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/皮福尔球--27.49 Pifour Ball -- 27.49.txt diff --git a/观赏向戴森球 Ornamental/笑脸--19.22 Smiley - 19.22.txt b/观赏向戴森球 Ornamental Dyson Sphere/笑脸--19.22 Smiley - 19.22.txt similarity index 100% rename from 观赏向戴森球 Ornamental/笑脸--19.22 Smiley - 19.22.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/笑脸--19.22 Smiley - 19.22.txt diff --git a/观赏向戴森球 Ornamental/类 Kind.txt b/观赏向戴森球 Ornamental Dyson Sphere/类 Kind.txt similarity index 100% rename from 观赏向戴森球 Ornamental/类 Kind.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/类 Kind.txt diff --git a/观赏向戴森球 Ornamental/红紫螺旋内包--41.82 Red and purple spiral inner bag--41.82.txt b/观赏向戴森球 Ornamental Dyson Sphere/红紫螺旋内包--41.82 Red and purple spiral inner bag--41.82.txt similarity index 100% rename from 观赏向戴森球 Ornamental/红紫螺旋内包--41.82 Red and purple spiral inner bag--41.82.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/红紫螺旋内包--41.82 Red and purple spiral inner bag--41.82.txt diff --git a/观赏向戴森球 Ornamental/红莲--11.28 Red Lotus--11.28.txt b/观赏向戴森球 Ornamental Dyson Sphere/红莲--11.28 Red Lotus--11.28.txt similarity index 100% rename from 观赏向戴森球 Ornamental/红莲--11.28 Red Lotus--11.28.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/红莲--11.28 Red Lotus--11.28.txt diff --git a/观赏向戴森球 Ornamental/红莲戴森球 Red Lotus Dyson Ball.txt b/观赏向戴森球 Ornamental Dyson Sphere/红莲戴森球 Red Lotus Dyson Ball.txt similarity index 100% rename from 观赏向戴森球 Ornamental/红莲戴森球 Red Lotus Dyson Ball.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/红莲戴森球 Red Lotus Dyson Ball.txt diff --git a/观赏向戴森球 Ornamental/缀天 The Sky.txt b/观赏向戴森球 Ornamental Dyson Sphere/缀天 The Sky.txt similarity index 100% rename from 观赏向戴森球 Ornamental/缀天 The Sky.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/缀天 The Sky.txt diff --git a/观赏向戴森球 Ornamental/群星：千载星辰 Stars- A Thousand Years of Stars.txt b/观赏向戴森球 Ornamental Dyson Sphere/群星：千载星辰 Stars- A Thousand Years of Stars.txt similarity index 100% rename from 观赏向戴森球 Ornamental/群星：千载星辰 Stars- A Thousand Years of Stars.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/群星：千载星辰 Stars- A Thousand Years of Stars.txt diff --git a/观赏向戴森球 Ornamental/聚变反应堆--44.23 Fusion Reactor -- 44.23.txt b/观赏向戴森球 Ornamental Dyson Sphere/聚变反应堆--44.23 Fusion Reactor -- 44.23.txt similarity index 100% rename from 观赏向戴森球 Ornamental/聚变反应堆--44.23 Fusion Reactor -- 44.23.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/聚变反应堆--44.23 Fusion Reactor -- 44.23.txt diff --git a/观赏向戴森球 Ornamental/脉冲引擎 Pulse Engine.txt b/观赏向戴森球 Ornamental Dyson Sphere/脉冲引擎 Pulse Engine.txt similarity index 100% rename from 观赏向戴森球 Ornamental/脉冲引擎 Pulse Engine.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/脉冲引擎 Pulse Engine.txt diff --git a/观赏向戴森球 Ornamental/艾尔登球--28.12 Eldon Ball -- 28.12.txt b/观赏向戴森球 Ornamental Dyson Sphere/艾尔登球--28.12 Eldon Ball -- 28.12.txt similarity index 100% rename from 观赏向戴森球 Ornamental/艾尔登球--28.12 Eldon Ball -- 28.12.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/艾尔登球--28.12 Eldon Ball -- 28.12.txt diff --git a/观赏向戴森球 Ornamental/蓝莲花-BV1VC4y1F7vA.txt b/观赏向戴森球 Ornamental Dyson Sphere/蓝莲花-BV1VC4y1F7vA.txt similarity index 100% rename from 观赏向戴森球 Ornamental/蓝莲花-BV1VC4y1F7vA.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/蓝莲花-BV1VC4y1F7vA.txt diff --git a/观赏向戴森球 Ornamental/虚空伯奇世界 Void Birch World.txt b/观赏向戴森球 Ornamental Dyson Sphere/虚空伯奇世界 Void Birch World.txt similarity index 100% rename from 观赏向戴森球 Ornamental/虚空伯奇世界 Void Birch World.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/虚空伯奇世界 Void Birch World.txt diff --git a/观赏向戴森球 Ornamental/螺旋领域--32.01 Spiral field -- 32.01.txt b/观赏向戴森球 Ornamental Dyson Sphere/螺旋领域--32.01 Spiral field -- 32.01.txt similarity index 100% rename from 观赏向戴森球 Ornamental/螺旋领域--32.01 Spiral field -- 32.01.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/螺旋领域--32.01 Spiral field -- 32.01.txt diff --git a/观赏向戴森球 Ornamental/装置00和04--2.78 Devices 00 and 04 -- 2.78.txt b/观赏向戴森球 Ornamental Dyson Sphere/装置00和04--2.78 Devices 00 and 04 -- 2.78.txt similarity index 100% rename from 观赏向戴森球 Ornamental/装置00和04--2.78 Devices 00 and 04 -- 2.78.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/装置00和04--2.78 Devices 00 and 04 -- 2.78.txt diff --git a/观赏向戴森球 Ornamental/赤道八卦 Equator Gossip.txt b/观赏向戴森球 Ornamental Dyson Sphere/赤道八卦 Equator Gossip.txt similarity index 100% rename from 观赏向戴森球 Ornamental/赤道八卦 Equator Gossip.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/赤道八卦 Equator Gossip.txt diff --git a/观赏向戴森球 Ornamental/金丹戴森球蓝图 Jindan Dyson Sphere Blueprint.txt b/观赏向戴森球 Ornamental Dyson Sphere/金丹戴森球蓝图 Jindan Dyson Sphere Blueprint.txt similarity index 100% rename from 观赏向戴森球 Ornamental/金丹戴森球蓝图 Jindan Dyson Sphere Blueprint.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/金丹戴森球蓝图 Jindan Dyson Sphere Blueprint.txt diff --git a/观赏向戴森球 Ornamental/银冠 Silver Crown.txt b/观赏向戴森球 Ornamental Dyson Sphere/银冠 Silver Crown.txt similarity index 100% rename from 观赏向戴森球 Ornamental/银冠 Silver Crown.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/银冠 Silver Crown.txt diff --git a/观赏向戴森球 Ornamental/银冠--10.85 Silver Crown - 10.85.txt b/观赏向戴森球 Ornamental Dyson Sphere/银冠--10.85 Silver Crown - 10.85.txt similarity index 100% rename from 观赏向戴森球 Ornamental/银冠--10.85 Silver Crown - 10.85.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/银冠--10.85 Silver Crown - 10.85.txt diff --git a/观赏向戴森球 Ornamental/锚点 Anchor Point.txt b/观赏向戴森球 Ornamental Dyson Sphere/锚点 Anchor Point.txt similarity index 100% rename from 观赏向戴森球 Ornamental/锚点 Anchor Point.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/锚点 Anchor Point.txt diff --git a/观赏向戴森球 Ornamental/长菱形与星--42.76 Rhomboid and star - 42.76.txt b/观赏向戴森球 Ornamental Dyson Sphere/长菱形与星--42.76 Rhomboid and star - 42.76.txt similarity index 100% rename from 观赏向戴森球 Ornamental/长菱形与星--42.76 Rhomboid and star - 42.76.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/长菱形与星--42.76 Rhomboid and star - 42.76.txt diff --git a/观赏向戴森球 Ornamental/长菱形与星2--56.76 Rhomboid and Star 2--56.76.txt b/观赏向戴森球 Ornamental Dyson Sphere/长菱形与星2--56.76 Rhomboid and Star 2--56.76.txt similarity index 100% rename from 观赏向戴森球 Ornamental/长菱形与星2--56.76 Rhomboid and Star 2--56.76.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/长菱形与星2--56.76 Rhomboid and Star 2--56.76.txt diff --git a/观赏向戴森球 Ornamental/陀螺仪--12.21 Gyroscope - 12.21.txt b/观赏向戴森球 Ornamental Dyson Sphere/陀螺仪--12.21 Gyroscope - 12.21.txt similarity index 100% rename from 观赏向戴森球 Ornamental/陀螺仪--12.21 Gyroscope - 12.21.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/陀螺仪--12.21 Gyroscope - 12.21.txt diff --git a/观赏向戴森球 Ornamental/黑洞戴森球蓝图 Black Hole Dyson Sphere Blueprint.txt b/观赏向戴森球 Ornamental Dyson Sphere/黑洞戴森球蓝图 Black Hole Dyson Sphere Blueprint.txt similarity index 100% rename from 观赏向戴森球 Ornamental/黑洞戴森球蓝图 Black Hole Dyson Sphere Blueprint.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/黑洞戴森球蓝图 Black Hole Dyson Sphere Blueprint.txt diff --git a/观赏向戴森球 Ornamental/黑白螺旋--13.07 Black and white spiral -- 13.07.txt b/观赏向戴森球 Ornamental Dyson Sphere/黑白螺旋--13.07 Black and white spiral -- 13.07.txt similarity index 100% rename from 观赏向戴森球 Ornamental/黑白螺旋--13.07 Black and white spiral -- 13.07.txt rename to 观赏向戴森球 Ornamental Dyson Sphere/黑白螺旋--13.07 Black and white spiral -- 13.07.txt