From e24baaf6f747879cfe1d04cfbf9d3eeda3b0e996 Mon Sep 17 00:00:00 2001
From: Huoji's <1296564236@qq.com>
Date: Sun, 11 Oct 2020 19:43:24 +0800
Subject: [PATCH] make to English version

make to English version
---
 ai.sp   | 12 ++++--------
 test.py | 13 ++++++-------
 2 files changed, 10 insertions(+), 15 deletions(-)

diff --git a/ai.sp b/ai.sp
index f4495d2..59b2e3c 100644
--- a/ai.sp
+++ b/ai.sp
@@ -63,17 +63,12 @@ public void OnPluginStart()
 }
 void OnFileUploadCallBack(HTTPStatus status, any value)
 {
-    if (status != HTTPStatus_OK) {
-        PrintToServer("文件上传失败");
-        return;
-    }
-
     PrintToServer("Upload complete");
 } 
 public Action Event_Intermission(Handle event, const char[] name, bool dontBroadcast)
 {
     PrintToChatAll("比赛结束!上传反作弊数据中!");
-    //上传数据
+    //upload your saved data 
 	return Plugin_Continue;
 }
 stock bool IsClientNew(int client)
@@ -303,8 +298,9 @@ void Aimbot_AnalyzeAngles(int client)
         
         if (fAngleDiff > AIM_ANGLE_CHANGE)
         {
-            PrintToChatAll("[CrowAI] %N 暴力自瞄",client);
-            break;
+            PrintToChatAll("[CrowAI] %N rage aimbot skip this data",client);
+            CloseHandle(handle_file);
+            return;
         }
         int mouse[2];
         mouse = g_iMouse[client][idx];
diff --git a/test.py b/test.py
index 8ef48aa..46861d2 100644
--- a/test.py
+++ b/test.py
@@ -6,10 +6,10 @@ import matplotlib.pyplot as plt
 import functools
 import csv
 test_file_path = [
-    r"I:\csgoserver\steamcmd\steamapps\common\Counter-Strike Global Offensive Beta - Dedicated Server\csgo\addons\sourcemod\测试数据1.csv"]
+    r"I:\csgoserver\steamcmd\steamapps\common\Counter-Strike Global Offensive Beta - Dedicated Server\csgo\addons\sourcemod\test_data.csv"]
 
 train_file_path = [
-    r"I:\csgoserver\steamcmd\steamapps\common\Counter-Strike Global Offensive Beta - Dedicated Server\csgo\addons\sourcemod\训练数据.csv"]
+    r"I:\csgoserver\steamcmd\steamapps\common\Counter-Strike Global Offensive Beta - Dedicated Server\csgo\addons\sourcemod\train_data.csv"]
 
 csv_data = []
 csv_data_x = []
@@ -38,7 +38,6 @@ print(csv_data_y_avg)
 
 
 def process_continuous_data(mean, data):
-    # 标准化数据
     data = tf.cast(data, tf.float32) * 1/(2*mean)
     return tf.reshape(data, [-1, 1])
 
@@ -92,16 +91,16 @@ def start_predict():
 
     print("result:", num_cheat)
     if len(predict_data) < 20:
-        print("数据太少,无法辨别")
+        print("player kill must > 20")
     if num_cheat >= (len(predict_data) / 2) - 2:
-        print("此人微自瞄")
+        print("player is aimbot")
     else:
-        print("此人不是微自瞄")
+        print("player is not aimbot")
 
 
 model = create_model()
 model.load_weights('./save/model_weight')
 start_predict()
 while True:
-    input("按任意键开始预测")
+    input("any key ...")
     start_predict()