格式修改

vector_tests.py

@@ -14,27 +14,27 @@ model = SentenceTransformer('all-MiniLM-L6-v2')
 # 模拟错误数据库
 error_db = [
     {
-        "error": """Traceback (most recent call last):\n  File \"image_error.py\", line 55, in <module>\n    loss = criterion(outputs, labels)\n  File \"module.py\", line 1553, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n  File \"module.py\", line 1562, in _call_impl\n    return forward_call(*args, **kwargs)\n  File \"loss.py\", line 1188, in forward\n    return F.cross_entropy(input, target, weight=self.weight,\n  File \"functional.py\", line 3104, in cross_entropy\n    return cross_entropy_loss(input, target, ...)\nIndexError: Target 15 is out of bounds.\n""",
+        "error": "Traceback (most recent call last):\n  File \"image_error.py\", line 55, in <module>\n    loss = criterion(outputs, labels)\n  File \"module.py\", line 1553, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n  File \"module.py\", line 1562, in _call_impl\n    return forward_call(*args, **kwargs)\n  File \"loss.py\", line 1188, in forward\n    return F.cross_entropy(input, target, weight=self.weight,\n  File \"functional.py\", line 3104, in cross_entropy\n    return cross_entropy_loss(input, target, ...)\nIndexError: Target 15 is out of bounds.\n",
         "solution": "可能是 labels 中的值超出了分类数量的范围。检查模型最后一层的输出维度是否正确。"
     },
     {
-        "error": """Traceback (most recent call last):\n  File \"rnn_error.py\", line 1, in <module>\n    import torch\nModuleNotFoundError: No module named 'torch'\n""",
+        "error": "Traceback (most recent call last):\n  File \"rnn_error.py\", line 1, in <module>\n    import torch\nModuleNotFoundError: No module named 'torch'\n",
         "solution": "检查路径是否存在，或模型文件是否已正确保存。"
     },
     {
-        "error": """Traceback (most recent call last):\n  File \"cnn_success.py\", line 51, in <module>\n    loss.backward()\n  File \"_tensor.py\", line 521, in backward\n    torch.autograd.backward(...)\n  File \"__init__.py\", line 289, in backward\n    _engine_run_backward(...)\n  File \"graph.py\", line 768, in _engine_run_backward\n    return run_backward(...)\nKeyboardInterrupt\n""",
+        "error": "Traceback (most recent call last):\n  File \"cnn_success.py\", line 51, in <module>\n    loss.backward()\n  File \"_tensor.py\", line 521, in backward\n    torch.autograd.backward(...)\n  File \"__init__.py\", line 289, in backward\n    _engine_run_backward(...)\n  File \"graph.py\", line 768, in _engine_run_backward\n    return run_backward(...)\nKeyboardInterrupt\n",
         "solution": "程序被用户中断 (KeyboardInterrupt)。这不是一个典型的代码错误，可能是手动停止了程序。"
     },
     {
-        "error": """Traceback (most recent call last):\n  File \"cnn_success.py\", line 1, in <module>\n    import torch\nModuleNotFoundError: No module named 'torch'\n""",
+        "error": "Traceback (most recent call last):\n  File \"cnn_success.py\", line 1, in <module>\n    import torch\nModuleNotFoundError: No module named 'torch'\n",
         "solution": "找不到模块torch, 请检查是否已安装 PyTorch。"
     },
     {
-        "error": """Traceback (most recent call last):\n  File \"rnn_error.py\", line 40, in <module>\n    loss = criterion(output, label.unsqueeze(0))\n  File \"module.py\", line 1553, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n  File \"module.py\", line 1562, in _call_impl\n    return forward_call(*args, **kwargs)\n  File \"loss.py\", line 1188, in forward\n    return F.cross_entropy(input, target, weight=self.weight,\n  File \"functional.py\", line 3104, in cross_entropy\n    return cross_entropy_loss(input, target, ...)\nValueError: Expected input batch_size (2) to match target batch_size (1).\n""",
+        "error": "Traceback (most recent call last):\n  File \"rnn_error.py\", line 40, in <module>\n    loss = criterion(output, label.unsqueeze(0))\n  File \"module.py\", line 1553, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n  File \"module.py\", line 1562, in _call_impl\n    return forward_call(*args, **kwargs)\n  File \"loss.py\", line 1188, in forward\n    return F.cross_entropy(input, target, weight=self.weight,\n  File \"functional.py\", line 3104, in cross_entropy\n    return cross_entropy_loss(input, target, ...)\nValueError: Expected input batch_size (2) to match target batch_size (1).\n",
         "solution": "检查模型输出和标签的形状是否匹配。确保它们在 batch_size 维度上是一致的。"
     },
     {
-        "error": """Syntax error in command""",
+        "error": "Syntax error in command",
         "solution": "检查代码中的语法错误。可能是缺少括号、引号或其他语法问题。"
     }
 ]