diff --git a/china.py b/china.py
index 59e5547aa25f59befa5041c50c32ec1edfd84428..6df590bc6bfc635e959984646d775a812d3269ba 100644
--- a/china.py
+++ b/china.py
@@ -1,6 +1,6 @@
 import numpy as np
 import csv
-
+from datetime import datetime
 def load_data(file_path):
     """
     Load repository data and calculate activity metrics
@@ -11,7 +11,16 @@ def load_data(file_path):
     列：仓库名称,所有者,星标,分支,语言,创建时间,最后提交,描述
     返回：形状为(仓库数, 3)的数组，包含[星标数, 分支数, 活跃天数]
     """
-    pass
+    with open(file_path, 'r', encoding='utf-8') as file:
+        reader = csv.reader(file)
+        next(reader)  # Skip header
+        data = []
+        for row in reader:
+            repo_name, owner, stars, forks, language, created_at, last_commit, description = row
+            stars, forks = int(stars), int(forks)
+            active_days = (datetime.strptime(last_commit, '%Y-%m-%d') - datetime.strptime(created_at, '%Y-%m-%d')).days
+            data.append([stars, forks, active_days])
+    return np.array(data)
 
 def calculate_statistics(data):
     """
@@ -26,7 +35,16 @@ def calculate_statistics(data):
     计算仓库指标统计量
     返回：包含平均值、中位数、方差、标准差的字典
     """
-    pass
+    means = [np.mean(data[:, i]) for i in range(3)]
+    medians = [np.median(data[:, i]) for i in range(3)]
+    variances = [np.var(data[:, i]) for i in range(3)]
+    stds = [np.std(data[:, i]) for i in range(3)]
+    return {
+        'means': means,
+        'medians': medians,
+        'variances': variances,
+        'stds': stds
+    }
 
 def print_results(stats):
     """
@@ -34,6 +52,7 @@ def print_results(stats):
     
     按严格格式打印结果，保持正确缩进
     """
+
     metrics = ['Stars', 'Forks', 'Active Days']
     for metric, mean, med, var, std in zip(metrics, 
                                          stats['means'],
diff --git a/liujiahui/main.py b/liujiahui/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..ab4f27be2705b155422f9876949a05a4c5e5507e
--- /dev/null
+++ b/liujiahui/main.py
@@ -0,0 +1 @@
+print("DA402")
\ No newline at end of file
diff --git a/pakistan.py b/pakistan.py
index f2720fce6bdb14803f8a317c60347ad58f19d43d..be8d0620efe56ab806a0277527f8b8bb14bf2218 100644
--- a/pakistan.py
+++ b/pakistan.py
@@ -1,17 +1,33 @@
 import numpy as np
 import csv
 
+
 def load_data(file_path):
     """
     Load repository data and calculate activity metrics
     Columns: repo_name,owner,stars,forks,language,created_at,last_commit,description
     Return: 2D NumPy array of shape (repos, 3) containing [stars, forks, active_days]
-    
+
     加载仓库数据并计算活跃天数
     列：仓库名称,所有者,星标,分支,语言,创建时间,最后提交,描述
     返回：形状为(仓库数, 3)的数组，包含[星标数, 分支数, 活跃天数]
     """
-    pass
+    # 读取CSV文件
+    with open(file_path, mode='r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        data = []
+        for row in reader:
+            # 提取星标数、分支数、创建时间和最后提交时间
+            stars = int(row['stars'])
+            forks = int(row['forks'])
+            created_at = np.datetime64(row['created_at'])
+            last_commit = np.datetime64(row['last_commit'])
+            # 计算活跃天数
+            active_days = (last_commit - created_at).astype('timedelta64[D]').astype(int)
+            data.append([stars, forks, active_days])
+    # 转换为NumPy数组
+    return np.array(data)
+
 
 def calculate_statistics(data):
     """
@@ -22,30 +38,44 @@ def calculate_statistics(data):
         'variances': [stars_var, forks_var, days_var],
         'stds': [stars_std, forks_std, days_std]
     }
-    
+
     计算仓库指标统计量
     返回：包含平均值、中位数、方差、标准差的字典
     """
-    pass
+    # 使用NumPy函数计算统计量
+    means = np.mean(data, axis=0).round(1)
+    medians = np.median(data, axis=0).round(1)
+    variances = np.var(data, axis=0).round(1)
+    stds = np.std(data, axis=0).round(1)
+
+    return {
+        'means': means,
+        'medians': medians,
+        'variances': variances,
+        'stds': stds
+    }
+
 
 def print_results(stats):
     """
     Print formatted results with proper indentation
-    
+
     按严格格式打印结果，保持正确缩进
     """
     metrics = ['Stars', 'Forks', 'Active Days']
-    for metric, mean, med, var, std in zip(metrics, 
-                                         stats['means'],
-                                         stats['medians'],
-                                         stats['variances'],
-                                         stats['stds']):
+    for metric, mean, med, var, std in zip(metrics,
+                                           stats['means'],
+                                           stats['medians'],
+                                           stats['variances'],
+                                           stats['stds']):
         print(f"{metric}:")
         print(f"    Average: {mean:.1f}")
         print(f"    Median: {med:.1f}")
         print(f"    Variance: {var:.1f}")
         print(f"    Standard Deviation: {std:.1f}")
 
+
+# 主程序
 repo_data = load_data('pakistan-repos.csv')
 stats = calculate_statistics(repo_data)
-print_results(stats)
+print_results(stats)
\ No newline at end of file