数组拼接

hello.txt

@@ -0,0 +1,2 @@
+hello
+111

miui/app/build.gradle

@@ -39,19 +39,19 @@ sonarqube {
 
         property "sonar.login", "admin" // sonar管理系统账号
 
-        property "sonar.password", "Qian15825254201!" // sonar管理系统密码
+        property "sonar.password", "Kns154273@sonarqube" // sonar管理系统密码
 
         property "sonar.sourceEncoding", "UTF-8"
 
 
 
-        property "sonar.projectKey", "qqjnb" //sonar平台中相对应项目的key
+        property "sonar.projectKey", "ns_project" //sonar平台中相对应项目的key
 
-        property "sonar.projectName", "qqjnb" //sonar平台中相对应项目的名字
+        property "sonar.projectName", "ns_project" //sonar平台中相对应项目的名字
 
         property "sonar.sources", "src/main/java" //源码，sonar检测的源文件目录
 
-        property "sonar.projectVersion", project.version //版本，随意
+        property "sonar.projectVersion", 1.0 //版本，随意
 
         property "sonar.binaries", "build/intermediates/classes"
     }

miui/app/src/main/java/net/micode/notes/ui/NotesListActivity.java

@@ -98,6 +98,8 @@ import java.io.IOException;
 import java.io.InputStream;
 import java.io.InputStreamReader;
 import java.util.HashSet;
+// 导入 android.content.res.Resources 类，该类用于访问应用的资源，
+// 比如字符串、颜色、布局文件等。通过该类可以获取应用中定义的各种资源，以在代码中动态使用
 import android.content.res.Resources;
 
 public class NotesListActivity extends Activity implements OnClickListener, OnItemLongClickListener, NotesListItem.OnClickListener {
@@ -108,7 +110,7 @@ public class NotesListActivity extends Activity implements OnClickListener, OnIt
     /** 菜单操作常量 */
     private static final int MENU_FOLDER_DELETE = 0;           // 删除文件夹的菜单选项
     private static final int MENU_FOLDER_VIEW = 1;             // 查看文件夹的菜单选项
-    private static final int MENU_FOLDER_CHANGE_NAME = 2;      // 更改文件夹名称的菜单选项
+    private static final int MENU_FOLDER_CHANGE_NAME = 2;      // 更改文件夹名称的菜单选项 
 
     /** 排序方式常量 */
     private static final int SORT_BY_MODIFIED_DATE = 0;        // 按修改日期排序

miui/build.gradle

@@ -14,7 +14,7 @@ buildscript {
 }
 
 plugins {
-    id "org.sonarqube" version "5.1.0.4882"
+  id "org.sonarqube" version "6.0.1.5171"
 }
 
 ext {

miui/gradle.properties

@@ -3,8 +3,9 @@ systemProp.sonar.host.url=http://localhost:9000
 
 systemProp.sonar.login=admin
 
-systemProp.sonar.password=Qian15825254201!
+systemProp.sonar.password=Kns154273@sonarqube
 
+sonar.token=sqp_3917154449d9d20f39feff1c42a5de00542dbe76
 # ??Androidx???????
 android.useAndroidX=true
 # ??Maven??????

生成feature_dataset.py

@@ -0,0 +1,73 @@
+import os
+import pickle
+import numpy as np
+from pathlib import Path
+
+
+def merge_pkl_files(input_dir, output_path="feature_dataset.pkl"):
+    all_features = []
+    all_labels = []
+
+    pkl_files = list(Path(input_dir).glob("*.pkl"))
+    if not pkl_files:
+        raise FileNotFoundError(f"在目录 {input_dir} 中未找到PKL文件")
+
+    # 排除已合并的文件和无效文件
+    pkl_files = [f for f in pkl_files if f.name not in ["feature_dataset.pkl", "infer_results.pkl"]]
+    print(f"发现 {len(pkl_files)} 个有效PKL文件，开始合并...")
+
+    for file in pkl_files:
+        try:
+            with open(file, "rb") as f:
+                data = pickle.load(f)
+
+            if "matrix" not in data or "label" not in data:
+                print(f"跳过 {file.name}：缺少'matrix'或'label'字段")
+                continue
+
+            features = data["matrix"]
+            labels = data["label"]
+
+            # 强制将标签转为一维整数数组（核心修复）
+            labels = labels.ravel().astype(np.int64)  # 转为int64类型
+
+            # 验证特征和标签数量匹配
+            if len(features) != len(labels):
+                print(f"跳过 {file.name}：特征({len(features)})与标签({len(labels)})数量不匹配")
+                continue
+
+            # 验证特征维度一致性
+            if all_features and features.shape[1] != all_features[0].shape[1]:
+                print(f"跳过 {file.name}：特征维度与已有数据不一致（现有{all_features[0].shape[1]}维，当前{features.shape[1]}维）")
+                continue
+
+            all_features.append(features)
+            all_labels.append(labels)
+            print(f"已加载 {file.name}：{len(features)} 条样本（特征{features.shape[1]}维）")
+
+        except Exception as e:
+            print(f"处理 {file.name} 时出错：{str(e)}，已跳过")
+
+    if not all_features:
+        raise ValueError("没有有效数据可合并，请检查输入文件")
+
+    # 合并特征和标签
+    merged_matrix = np.vstack(all_features)
+    merged_label = np.concatenate(all_labels, axis=0)  # 数组拼接
+
+    print("\n合并结果：")
+    print(f"总样本数：{len(merged_matrix)}")
+    print(f"特征矩阵形状：{merged_matrix.shape}")
+    # 确保标签为整数后再统计分布
+    print(f"标签分布：{np.bincount(merged_label)} (索引对应标签值)")
+
+    with open(output_path, "wb") as f:
+        pickle.dump({"matrix": merged_matrix, "label": merged_label}, f)
+
+    print(f"\n已成功保存至 {output_path}")
+
+
+if __name__ == "__main__":
+    INPUT_DIRECTORY = r"D:\SummerSchool\mat_cv\mat_cv-02"
+    OUTPUT_FILE = r"D:\SummerSchool\mat_cv\mat_cv-02\feature_dataset00.pkl"  # 路径
+    merge_pkl_files(INPUT_DIRECTORY, OUTPUT_FILE)