给出该代码的测试函数,且测试函数内带有测试数据:给出该代码的测试函数,且测试函数内带有测试数据
时间: 2023-08-06 22:14:18 浏览: 62
以下是一个示例测试函数及其测试数据,可以供参考:
```python
from chitgpt import ChitGPT
def test_chitgpt():
# 初始化模型
model = ChitGPT()
# 测试对话
history = ""
while True:
# 输入用户的回复
user_input = input("You: ")
# 如果是退出,则结束对话
if user_input.lower() in ["exit", "quit", "bye", "goodbye"]:
print("ChitGPT: Goodbye!")
break
# 将用户的回复和历史记录拼接起来
input_text = history + user_input
# 调用模型生成回复
response = model.generate_response(input_text)
# 打印模型生成的回复
print("ChitGPT: " + response)
# 更新历史记录
history += user_input + " "
# 测试数据
test_conversations = [
# 第一组测试数据
{
"input": "Hello, how are you?",
"expected_output": "I'm doing well, thank you. How about you?"
},
{
"input": "I'm fine, thanks for asking.",
"expected_output": "You're welcome. What can I help you with today?"
},
# 第二组测试数据
{
"input": "What is your name?",
"expected_output": "My name is ChitGPT. How can I assist you?"
},
{
"input": "What can you do?",
"expected_output": "I can help you with a variety of tasks, such as answering questions and providing recommendations. What would you like me to do?"
}
]
# 执行测试
for conversation in test_conversations:
input_text = conversation["input"]
expected_output = conversation["expected_output"]
# 初始化模型
model = ChitGPT()
# 调用模型生成回复
response = model.generate_response(input_text)
# 断言模型生成的回复与预期输出相等
assert response == expected_output
```
上述测试函数实现了一个简单的命令行对话程序,并使用了一些测试数据进行自动化测试。如果您想要进行更多的测试,可以添加更多的测试数据。
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