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内容
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,并提供一个解决这些问题的修正版代码。解释你在原始代码中发现的问题以及你的修复如何解决这些问题。修正后的代码应该是功能正常、高效的,并且遵循 Python 编程的最佳实践。
Userdef calculate_average(nums):
sum = 0
for num in nums:
sum += num
average = sum / len(nums)
return average

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

示例输出

修正后的 Python 代码:

Python
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)

解释:

  1. 将变量名”sum”改为”total”,以避免使用 Python 内置函数”sum()”。
  2. 修复了打印语句中的拼写错误,将”results”改为”result”,以正确引用变量。

API 请求

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-opus-4-20250514",
  max_tokens=1000,
  temperature=0,
  system="Your task is to analyze the provided Python code snippet, identify any bugs or errors present, and provide a corrected version of the code that resolves these issues. Explain the problems you found in the original code and how your fixes address them. The corrected code should be functional, efficient, and adhere to best practices in Python programming.",
  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)