From a80d141be2e95b8f1e81e2b4cd827f8bf481e070 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?MAX=5F=E5=B0=8F=E8=91=B5?= Date: Thu, 29 Jul 2021 22:51:50 +0800 Subject: [PATCH 1/2] =?UTF-8?q?=E7=BE=8E=E5=8C=96README=EF=BC=9B=E4=BF=AE?= =?UTF-8?q?=E5=A4=8Drestore=5Fscore.sc=E7=9A=84bug?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 116 +++++++++++++++++++++++++--------------------- restore_scores.sc | 30 ++++++++---- 2 files changed, 84 insertions(+), 62 deletions(-) diff --git a/README.md b/README.md index d2c2ad7..38548ff 100644 --- a/README.md +++ b/README.md @@ -4,59 +4,71 @@ A Minecraft Datapack #### This project is licensed under the terms of the GNU General Public License v3.0. #### Copyright (C)2019-2021 Harvey_Husky -### 总览 -- v2.1.x支持Minecraft1.17+ -- v2.0.x支持Minecraft1.16.3-1.16.5 +[B站链接](https://www.bilibili.com/read/cv4267319) +## 总览 +![使用](data:image/png;base64,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) - 抬头并按一下shift来打开设置界面 - 提供玩家挖掘、死亡、击杀、受伤、交易、钓鱼、滑翔、（破基岩）数据的榜单 - - 无需配置即可支持该铁头功破基岩榜Mod：https://gitee.com/harvey-husky/FZ-BBL/releases - - 破基岩榜的分数和订阅设置会在铁头功记分板的总分大于0时显示，以免未添加该mod的服务器显示破基岩榜 - - 记分板对照表： - - activation - 活跃时间(h) - - damageTaken - 受伤害榜 - - deathCounter - 死亡榜 - - digCounter - 挖掘榜 - - fishingCounter - 钓鱼榜 - - killCounter - 击杀榜 - - tradingCounter - 交易榜 - - totalList - 总 量 - - bedrockBreaked - 铁头功 - - fz.aviate1m - 滑翔距离 -- 提供一些地毯脚本：*请在升级数据包的同时替换这些工具！！* +- 提供扫地机 +- 配套的无需配置即可支持该铁头功破基岩榜Mod：[FZ-BBL](https://gitee.com/harvey-husky/FZ-BBL/releases) + - 破基岩榜的分数和订阅设置会在铁头功记分板的总分大于0时显示，以免未添加该mod的服务器显示破基岩榜 +- 记分板对照表： + | Object Name | 内容 | + | ----------- | ---- | + | activation | 活跃时间(h) | + | damageTaken | 受伤害榜 | + | deathCounter | 死亡榜 | + | digCounter | 挖掘榜 | + | fishingCounter | 钓鱼榜 | + | killCounter | 击杀榜 | + | tradingCounter | 交易榜 | + | totalList | 总 量 | + | bedrockBreaked | [铁头功破基岩](https://www.bilibili.com/video/BV1KJ411b73z) | + | fz.aviate1m | 滑翔距离 | +- 提供一些地毯脚本（.sc文件）：***请在升级数据包的同时替换这些工具！！*** - 安装方法： - - 需要carpet mod 1.4.24+：https://github.com/gnembon/fabric-carpet/releases - - 将其放入“world/scripts”中(在客户端位于“.minecraft/saves/存档名/scripts”或“.minecraft/config/carpet/scripts”) - - here.sc： - - “/here”向所有人发送自己的位置和所在维度 - - 发送的消息使用voxelmap可识别的数组格式 - - 安装voxelmap mod后，左键高亮该坐标，ctrl+左键新建坐标点 - - c.sc - - “/c”修改玩家模式为旁观模式 - - s.sc - - “/s”修改玩家模式为生存模式 - - tagplayer.sc： - - 这个工具可以防止将地毯mod生成的假人计入记分板 - - 可以通过自定义文件名来自定义游戏内命令 - - 配置文件： - - “allow_bot_tp”：用于控制是否允许tp假人 - - “allow_spawning_whitelist_players”：用于控制是否允许生成白名单内的玩家 - - 使用方法： - - 输入“/script load tagplayer”加载工具 - - 包含全部地毯假人自带的功能，以及新功能，如： - - “/tagplayer check xxx”：检查玩家的状态 - - “/tagplayer checkall”：检查所有玩家的状态 - - “/tagplayer killall”：清除所有假人 - - 其他用法可以在游戏内输入“/tagplayer”查看 - - restore_scores.sc： - - 从数据包1.4升级时也需要使用这个工具 - - 这个工具可以从白名单读取玩家列表，逐一召唤假人，读取统计信息并赋值给记分板 - - 悄悄说一句没白名单的服把usercache.json复制一份改成whitelist.json就可以啦 - - *注意：原有的记分板会被删除* - - 使用方法： - - 输入“/script load restore_scores”加载工具 - - 输入“/restore_scores by_whitelist”开始恢复 - - 输入“/script unload restore_scores”卸载工具 - - 记得用完就删掉它！ + - 需要[carpet mod](https://github.com/gnembon/fabric-carpet/releases) 1.4.24+ + - 将其放入`world/scripts`中（在客户端位于`.minecraft/saves/存档名/scripts`或`.minecraft/config/carpet/scripts`） +### `here.sc`： +- `/here`向所有人发送自己的位置和所在维度 + - 发送的消息使用voxelmap可识别的数组格式 + - 安装[voxelmap mod](https://www.curseforge.com/minecraft/mc-mods/voxelmap/files)后，左键高亮该坐标，ctrl+左键新建坐标点 +### `c.sc` +- `/c`修改玩家模式为旁观模式 +### `s.sc` +- `/s`修改玩家模式为生存模式 +### `tagplayer.sc`： +- [B站链接](https://www.bilibili.com/read/cv9178207) +- 这个工具可以防止将地毯mod生成的假人计入记分板 +- 可以通过自定义文件名来自定义游戏内命令 +- 配置文件： + - `allow_bot_tp`：用于控制是否允许tp假人 + - `allow_spawning_whitelist_players`：用于控制是否允许生成白名单内的玩家 +- 使用方法： + - 安装[carpet mod](https://github.com/gnembon/fabric-carpet/releases) + - 输入`/script load tagplayer`加载工具 + - 包含全部地毯假人自带的功能，如： + - `/tagplayer use xxx once`让假人xxx按一次使用键 + - 包含新功能，如： + - `/tagplayer check xxx`：检查玩家的状态 + - `/tagplayer checkall`：检查所有玩家的状态 + - `/tagplayer killall`：清除所有假人 + - 其他用法可以在游戏内输入`/tagplayer`查看 + +### `restore_scores.sc`： +- 从数据包1.4升级时也需要使用这个工具 +- 这个工具可以从白名单读取玩家列表，逐一召唤假人，读取统计信息并赋值给记分板 + - 悄悄说一句没白名单的服把usercache.json复制一份改成whitelist.json就可以啦 +- *注意：原有的记分板会被删除* +- 使用方法： + - 输入`/script load restore_scores`加载工具 + - 输入`/restore_scores by_whitelist`开始恢复 + - 输入`/script unload restore_scores`卸载工具 + - 记得用完就删掉它！ + +### 更新日志 +- v2.1.x支持Minecraft1.17+ +- v2.0.x支持Minecraft1.16.3-1.16.5 ##### v2.1.2/2.0.10 - 添加鞘翅滑翔距离榜单 ##### v2.1.0 @@ -91,7 +103,7 @@ A Minecraft Datapack - 无需配置即可支持该铁头功破基岩榜Mod：https://gitee.com/harvey-husky/FZ-BBL/releases - 破基岩榜的分数和订阅设置会在铁头功记分板的总分大于0时显示，以免未添加该mod的服务器显示破基岩榜 ##### v2.0.0.11 -- “/tagplayer spawn xxx”后面现在可以追加“at”、“facing”、“in”参数 +- `/tagplayer spawn xxx`后面现在可以追加`at`、`facing`、`in`参数 ##### v2.0.0.10 - 扫地机添加了位于怪物血条栏的文字提示，同时添加了各种提示的开关功能 ##### v2.0.0.9 @@ -102,7 +114,7 @@ A Minecraft Datapack - tagplayer添加了新版carpet新指令，可以为假人切换热键栏 - 现在tagplayer需要carpet1.4.21或以上版本运行！ - 现在tagplayer可以给自己设置动作了 -- 添加“/tagplayer shadow”指令将自己变为前缀为“挂机”的假人 +- 添加`/tagplayer shadow`指令将自己变为前缀为`挂机`的假人 ##### v2.0.0.6 - 修复restore_scores.sc工具不能恢复受伤害榜(抖M榜)的bug ##### v2.0.0.5 diff --git a/restore_scores.sc b/restore_scores.sc index 44827b7..8e3c1a1 100644 --- a/restore_scores.sc +++ b/restore_scores.sc @@ -1,4 +1,4 @@ -global_version = '1.2.0'; +global_version = '1.3.0'; __config() -> { 'scope' -> 'global', 'stay_loaded' -> false @@ -124,7 +124,8 @@ global_bl = ['stone', 'granite', 'polished_granite', 'diorite', 'polished_diorit 'cyan_candle', 'purple_candle', 'blue_candle', 'brown_candle', 'green_candle', 'red_candle', 'black_candle' ]; __restore(pl, s_player) ->( - scoreboard_remove('killCounter'); + scoreboard_remove('fz.aviate1m'); + scoreboard_remove('killCounter'); scoreboard_remove('digCounter'); scoreboard_remove('deathCounter'); scoreboard_remove('tradingCounter'); @@ -132,6 +133,7 @@ __restore(pl, s_player) ->( scoreboard_remove('damageTaken'); scoreboard_remove('activation'); scoreboard_remove('totalList'); + scoreboard_add('fz.aviate1m'); scoreboard_add('killCounter'); scoreboard_add('digCounter'); scoreboard_add('deathCounter'); @@ -147,15 +149,21 @@ __restore(pl, s_player) ->( total_killed = 0; total_traded = 0; total_hurt = 0; + total_aviate = 0; c_for(i = 0, i < length(pl), i += 1, run('player ' + pl:i + ' spawn'); game_tick(50); //活跃时间 - actime = statistic(pl:i, 'custom', 'play_one_minute')/72000; + actime = statistic(pl:i, 'custom', 'play_time')/72000; print(actime); scoreboard('activation', pl:i, actime); total_actime += actime; - //抖M榜 + //滑翔距离 + aviate = statistic(pl:i, 'custom', 'aviate_one_cm')/100; + print(aviate); + scoreboard('fz.aviate1m', pl:i, aviate); + total_aviate += aviate; + //受伤害榜 hurt = statistic(pl:i, 'custom', 'damage_taken')/100; print(hurt); scoreboard('damageTaken', pl:i, hurt); @@ -191,20 +199,22 @@ __restore(pl, s_player) ->( total_traded += traded; run('player ' + pl:i + ' kill') ); - scoreboard('tradingCounter', '总交♂易数', total_traded); - scoreboard('totalList', '总交♂易数', total_traded); + scoreboard('tradingCounter', '总交易数', total_traded); + scoreboard('totalList', '总交易数', total_traded); scoreboard('killCounter', '总击杀数', total_killed); scoreboard('totalList', '总击杀数', total_killed); scoreboard('fishingCounter', '总钓鱼数', total_fished); scoreboard('totalList', '总钓鱼数', total_fished); scoreboard('digCounter', '总挖掘量', total_mined); scoreboard('totalList', '总挖掘量', total_mined); - scoreboard('deathCounter', '全部木大', total_death); - scoreboard('totalList', '全部木大', total_death); + scoreboard('deathCounter', '总死亡数', total_death); + scoreboard('totalList', '总死亡数', total_death); scoreboard('activation', '总在线时间(h)', total_actime); scoreboard('totalList', '总在线时间(h)', total_actime); - scoreboard('damageTaken', '群p抖M', total_hurt); - scoreboard('totalList', '群p抖M', total_hurt); + scoreboard('damageTaken', '受伤害榜', total_hurt); + scoreboard('totalList', '总受伤害量', total_hurt); + scoreboard('fz.aviate1m', '总滑翔距离', total_aviate); + scoreboard('totalList', '总滑翔距离', total_aviate); game_tick(50); print('完成！'); run('function fz:scoreboards/install') From 40ccee8f9c875f6ca63cd2081467c07a6570f4ed Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?MAX=5F=E5=B0=8F=E8=91=B5?= Date: Sat, 31 Jul 2021 01:01:32 +0800 Subject: [PATCH 2/2] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E5=AF=BC=E5=85=A5?= =?UTF-8?q?=E7=9A=84=E6=80=BB=E6=A6=9C=E5=8F=97=E4=BC=A4=E5=AE=B3=E9=87=8F?= =?UTF-8?q?bug?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- restore_scores.sc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/restore_scores.sc b/restore_scores.sc index 8e3c1a1..0b1931c 100644 --- a/restore_scores.sc +++ b/restore_scores.sc @@ -211,7 +211,7 @@ __restore(pl, s_player) ->( scoreboard('totalList', '总死亡数', total_death); scoreboard('activation', '总在线时间(h)', total_actime); scoreboard('totalList', '总在线时间(h)', total_actime); - scoreboard('damageTaken', '受伤害榜', total_hurt); + scoreboard('damageTaken', '总受伤害量', total_hurt); scoreboard('totalList', '总受伤害量', total_hurt); scoreboard('fz.aviate1m', '总滑翔距离', total_aviate); scoreboard('totalList', '总滑翔距离', total_aviate);