Caçador de bugs em Python

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	Conteúdo
System	Sua tarefa é analisar o trecho de código Python fornecido, identificar quaisquer bugs ou erros presentes e fornecer uma versão corrigida do código que resolva esses problemas. Explique os problemas que você encontrou no código original e como suas correções os solucionam. O código corrigido deve ser funcional, eficiente e seguir as melhores práticas de programação em Python.
User	def 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)

Exemplo de Saída

Código Python corrigido:

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)

Explicação:

Mudei o nome da variável “sum” para “total” para evitar o uso da função integrada do Python “sum()”.
Corrigi o erro de digitação na instrução print, alterando “results” para “result” para referenciar corretamente a variável.

Requisição de API

import anthropic

client = anthropic.Anthropic(
  # padrão para 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)

import anthropic

client = anthropic.Anthropic(
  # padrão para 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)

import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic({
  apiKey: "my_api_key", // padrão para process.env["ANTHROPIC_API_KEY"]
});

const msg = await anthropic.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)"
        }
      ]
    }
  ]
});
console.log(msg);

from anthropic import AnthropicBedrock

# Veja https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock

# para opções de autenticação

client = AnthropicBedrock()

message = client.messages.create(
model="anthropic.claude-opus-4-20250514-v1:0",
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)

import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

// Veja https://docs.anthropic.com/claude/reference/claude-on-amazon-bedrock
// para opções de autenticação
const client = new AnthropicBedrock();

const msg = await client.messages.create({
  model: "anthropic.claude-opus-4-20250514-v1:0",
  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)"
        }
      ]
    }
  ]
});
console.log(msg);

from anthropic import AnthropicVertex

client = AnthropicVertex()

message = client.messages.create(
model="claude-3-7-sonnet-v1@20250219",
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)

import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';

// Lê das variáveis de ambiente `CLOUD_ML_REGION` e `ANTHROPIC_VERTEX_PROJECT_ID`.
// Adicionalmente passa pelo fluxo padrão de `google-auth-library`.
const client = new AnthropicVertex();

const msg = await client.messages.create({
  model: "claude-3-7-sonnet-v1@20250219",
  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)"
        }
      ]
    }
  ]
});
console.log(msg);

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Exemplo de Saída
Requisição de API

Recursos

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Exemplo de Saída

Requisição de API