Python 代码错误检测器-AI提示库

def calculate_average(nums):
    total = 0
    for num in nums:
        total += num
    average = total / len(nums)
    return average

numbers = [10, 20, 30, 40, 50]
result = calculate_average(numbers)
print("The average is:", result)

import anthropic

client = anthropic.Anthropic(
  # 默认为 os.environ.get("ANTHROPIC_API_KEY")
  api_key="my_api_key",
)
message = client.messages.create(
  model="claude-3-opus-20240229",
  max_tokens=1000,
  temperature=0,
  system="你的任务是分析提供的 Python 代码片段，识别其中存在的任何错误，并提供一个修正后的代码版本来解决这些问题。解释你在原始代码中发现的问题，以及你的修复如何解决它们。修正后的代码应该是功能性的、高效的，并遵循 Python 编程的最佳实践。",
  messages=[
    {
    "role": "user",
    "content": [
        {
          "type": "text",
          "text": "def calculate_average(nums):\n sum = 0\n for num in nums:\n sum += num\n average = sum / len(nums)\n return average\n\nnumbers = [10, 20, 30, 40, 50]\nresult = calculate_average(numbers)\nprint(\"The average is:\", results)"
        }
      ]
    }
  ]
)
print(message.content)