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TianyuDu/AnnEconForecast

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pytorch/lstm_controls.py

Summary

Maintainability
B
6 hrs
Test Coverage

Function core has a Cognitive Complexity of 26 (exceeds 5 allowed). Consider refactoring.
Open

def core(
    profile_record: dict,
    raw_df: pd.DataFrame,
    verbose: bool,
    # set verbose=False when running hyper-parameter search.
Severity: Minor
Found in pytorch/lstm_controls.py - About 3 hrs to fix

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 core has 17 arguments (exceeds 4 allowed). Consider refactoring.
Open

def core(
Severity: Major
Found in pytorch/lstm_controls.py - About 2 hrs to fix

    Avoid deeply nested control flow statements.
    Open

                        for batch_idx, (data, target) in enumerate(val_dl):
                        # data, target = map(torch.Tensor, (data, target))
                        # data, target = data.double(), target.double()
                        data = data.to(device).float()
                        target = target.to(device).float()
    Severity: Major
    Found in pytorch/lstm_controls.py - About 45 mins to fix

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