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machine-learning/graph-neural-network/src/main.py

Summary

Maintainability
A
2 hrs
Test Coverage

Function main has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.
Open

def main():
    # Training settings
    args = get_args()

    with wandb.init(
Severity: Minor
Found in machine-learning/graph-neural-network/src/main.py - About 1 hr 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 train has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
Open

def train(model, device, loader, optimizer, task_type):
    model.train()
    total_loss = 0

    for step, batch in enumerate(tqdm(loader, desc="Iteration")):
Severity: Minor
Found in machine-learning/graph-neural-network/src/main.py - About 55 mins 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 train has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

def train(model, device, loader, optimizer, task_type):
Severity: Minor
Found in machine-learning/graph-neural-network/src/main.py - About 35 mins to fix

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