Strict stubbing argument mismatch
时间: 2023-12-01 08:06:40 浏览: 46
在严格的打桩中,参数不匹配指的是在打桩过程中,使用的参数与实际方法调用中使用的参数不匹配的情况。这可能会导致测试失败或出现异常。在严格打桩中,参数的匹配非常重要,如果参数不匹配,那么打桩可能会失效。因此,在进行严格打桩时,我们需要确保使用的参数与实际方法调用中使用的参数完全一致。否则,可能需要调整打桩的参数或进行其他处理以解决参数不匹配的问题。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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相关问题
'strict' is an invalid keyword argument for Unpickler()
The error message indicates that you are trying to pass an invalid argument "strict" to the Unpickler() function. This argument is not recognized by the function and therefore it raises an exception.
To fix this error, you should remove the "strict" argument or replace it with a valid one. The Unpickler() function only accepts a few optional arguments such as "encoding", "errors", and "fix_imports". You can check the documentation for more information on these arguments.
Here's an example of how to use the Unpickler() function without the "strict" argument:
```
import pickle
with open('data.pickle', 'rb') as f:
data = pickle.load(f, encoding='utf-8', errors='ignore')
```
In this example, we're loading data from a pickle file using the Unpickler() function and specifying the "encoding" and "errors" arguments. These arguments tell the function how to handle any encoding errors that may occur during unpickling.
pydantic strict
在Pydantic中,可以使用`strict`参数来控制模型是否应该强制执行类型限制。如果启用了`strict`模式,则模型将拒绝任何不符合类型限制的值。否则,将尝试将值转换为指定的类型。默认情况下,`strict`模式是禁用的。
以下是一个启用`strict`模式的示例:
```python
from pydantic import BaseModel
class MyModel(BaseModel):
id: int
name: str
class Config:
strict = True
model = MyModel(id=1, name='John')
print(model.dict())
# Output: {'id': 1, 'name': 'John'}
model = MyModel(id='1', name='John')
Raises a ValueError because the id is not an integer
```
在上面的示例中,`strict`模式被启用,因此如果我们尝试将一个字符串传递给`id`字段,Pydantic将引发一个`ValueError`异常。
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