更新 function.py

function.py

@@ -43,7 +43,9 @@ name = "廖子豪"
 # 这里写自己的代码实现
 
 
+def classify(input_vector, dataSet, labels, k_values=[1, 31]):
     # ... 你的代码 ...
+
 def load_dataset(directory):
     labels = []
     file_list = os.listdir(directory)
@@ -66,12 +68,16 @@ def img_to_vector(filename):
     return img_vector
 
 if __name__ == "__main__":
-    # 确保在调用classify函数之前，所有的函数和变量都已经被定义
+    # 请确保trainingDigits文件夹在你的工作目录中，或者提供完整的路径
     train_data, train_labels = load_dataset("trainingDigits")
-    test_data = "00000000000000110000000000000000"  # 示例数据
+
+    test_data = (
+        # ... 你的测试数据 ...
+    )
     predicted_label = classify(
         np.array([int(char) for char in test_data]).reshape(1, 1024),
         train_data,
         train_labels,
     )
+
     print(f"预测的标签: {predicted_label}")