App.open_food_window() missing 1 required positional argument: 'food_name'
时间: 2023-10-25 14:06:55 浏览: 39
As an AI language model, I do not have access to the specific context or code you are referring to. However, based on the error message you provided, it seems that the function `open_food_window()` expects an argument called `food_name`, but when you called the function, you did not provide this argument.
You need to call the function and provide a value for the `food_name` argument. For example:
```
App.open_food_window("Pizza")
```
This would open the food window for the food item "Pizza". You can replace "Pizza" with the name of the food item you want to open the window for.
相关问题
CubicSpline.__init__() missing 1 required positional argument: 'y'
根据提供的引用内容,报错信息是`CubicSpline.__init__() missing 1 required positional argument: 'y'`。这个错误通常发生在使用`CubicSpline`类的构造函数时,缺少了一个必需的参数`y`。
为了解决这个问题,你需要确保在创建`CubicSpline`对象时提供了正确的参数。根据错误信息,你需要提供一个名为`y`的参数。
下面是一个示例代码,演示了如何使用`CubicSpline`类的构造函数并提供正确的参数:
```python
from scipy.interpolate import CubicSpline
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]
cs = CubicSpline(x, y)
```
在上面的示例中,我们创建了一个`CubicSpline`对象`cs`,并提供了两个参数`x`和`y`。这样就可以避免`CubicSpline.__init__() missing 1 required positional argument: 'y'`错误。
Normalize.__init__() missing 1 required positional argument: 'std'
引用[1]:出现错误:Traceback (most recent call last): File "D:\ProgramFiles\Pytorch-Basic-GANs-master\Pytorch-Basic-GANs-master\vanilla_gan.py", line 95, in <module> convert_model(single_model="model.pth") TypeError: convert_model() missing 1 required positional argument: 'para_model'。[1]这个错误是因为在调用convert_model函数时,缺少了一个必需的参数para_model。引用[2]:出现这种错误,就是class中init函数中的参数没有赋值。[2]在这个例子中,ff类的初始化函数__init__缺少了一个参数n的赋值,导致在创建实例a时出现错误。正确的做法是在创建实例a时传入参数,例如a = ff(1)。引用[3]:ValueError: Using a target size (torch.Size([64])) that is different to the input size (torch.Size([192, 1])) is deprecated.添加:validity = validity.squeeze(-1) ValueError: Using a target size (torch.Size([64])) that is different to the input size (torch.Size([192])) is deprecated.实验之后发现batch_size与input size成3倍关系,尝试除3:z = torch.randn([batch_size/3, z_dim]).to(device) 错误:TypeError: randn(): argument 'size' (position 1) must be tuple of ints, not list。[3]这个错误是因为torch.randn函数的参数size需要传入一个元组(tuple),而不是一个列表(list)。正确的做法是将参数size改为一个元组,例如z = torch.randn((batch_size/3, z_dim)).to(device)。问题:Normalize.__init__() missing 1 required positional argument: 'std'。