pypots/nn/modules/csdi/backbone.py
Function forward
has a Cognitive Complexity of 15 (exceeds 5 allowed). Consider refactoring. Open
Open
def forward(self, observed_data, cond_mask, side_info, n_sampling_times):
B, K, L = observed_data.shape
device = observed_data.device
imputed_samples = torch.zeros(B, n_sampling_times, K, L).to(device)
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function __init__
has 12 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def __init__(
Function calc_loss
has 6 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def calc_loss(self, observed_data, cond_mask, indicating_mask, side_info, is_train, set_t=-1):
Function calc_loss_valid
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def calc_loss_valid(self, observed_data, cond_mask, indicating_mask, side_info, is_train):