monarch-initiative/N2V

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embiggen/node_label_prediction/sklearn_like_node_label_prediction_adapter.py

Summary

Maintainability
A
3 hrs
Test Coverage

Function _predict has 7 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def _predict(

    Function _predict_proba has 6 arguments (exceeds 4 allowed). Consider refactoring.
    Open

        def _predict_proba(

      Function _predict_proba has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
      Open

          def _predict_proba(
              self,
              graph: Graph,
              support: Optional[Graph] = None,
              node_features: Optional[List[np.ndarray]] = None,

      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 _fit has 6 arguments (exceeds 4 allowed). Consider refactoring.
      Open

          def _fit(

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