WenjieDu/PyPOTS

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pypots/nn/modules/koopa/layers.py

Summary

Maintainability
D
2 days
Test Coverage

Function __init__ has 8 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(
Severity: Major
Found in pypots/nn/modules/koopa/layers.py - About 1 hr to fix

    Function forward has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
    Open

        def forward(self, z, pred_len=1):
            # z:       B L E, koopman invariance space representation
            # z_rec:   B L E, reconstructed representation
            # z_pred:  B S E, forecasting representation
            B, input_len, E = z.shape
    Severity: Minor
    Found in pypots/nn/modules/koopa/layers.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 __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
    Open

        def __init__(
    Severity: Minor
    Found in pypots/nn/modules/koopa/layers.py - About 45 mins to fix

      Function __init__ has 5 arguments (exceeds 4 allowed). Consider refactoring.
      Open

          def __init__(
      Severity: Minor
      Found in pypots/nn/modules/koopa/layers.py - About 35 mins to fix

        Similar blocks of code found in 4 locations. Consider refactoring.
        Open

                    if torch.isnan(self.K_step).any():
                        print("Encounter multistep K with nan, replace it by identity matrix")
                        self.K_step = (
                            torch.eye(self.K_step.shape[1])
                            .to(self.K_step.device)
        Severity: Major
        Found in pypots/nn/modules/koopa/layers.py and 3 other locations - About 3 hrs to fix
        pypots/nn/modules/koopa/layers.py on lines 100..106
        pypots/nn/modules/koopa/layers.py on lines 149..155
        pypots/nn/modules/koopa/layers.py on lines 162..168

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 66.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        Similar blocks of code found in 4 locations. Consider refactoring.
        Open

                if torch.isnan(self.K).any():
                    print("Encounter K with nan, replace K by identity matrix")
                    self.K = (
                        torch.eye(self.K.shape[1])
                        .to(self.K.device)
        Severity: Major
        Found in pypots/nn/modules/koopa/layers.py and 3 other locations - About 3 hrs to fix
        pypots/nn/modules/koopa/layers.py on lines 100..106
        pypots/nn/modules/koopa/layers.py on lines 162..168
        pypots/nn/modules/koopa/layers.py on lines 173..179

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 66.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        Similar blocks of code found in 4 locations. Consider refactoring.
        Open

                    if torch.isnan(self.K_step).any():
                        print("Encounter multistep K with nan, replace it by identity matrix")
                        self.K_step = (
                            torch.eye(self.K_step.shape[1])
                            .to(self.K_step.device)
        Severity: Major
        Found in pypots/nn/modules/koopa/layers.py and 3 other locations - About 3 hrs to fix
        pypots/nn/modules/koopa/layers.py on lines 100..106
        pypots/nn/modules/koopa/layers.py on lines 149..155
        pypots/nn/modules/koopa/layers.py on lines 173..179

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 66.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        Similar blocks of code found in 4 locations. Consider refactoring.
        Open

                if torch.isnan(self.K).any():
                    print("Encounter K with nan, replace K by identity matrix")
                    self.K = (
                        torch.eye(self.K.shape[1])
                        .to(self.K.device)
        Severity: Major
        Found in pypots/nn/modules/koopa/layers.py and 3 other locations - About 3 hrs to fix
        pypots/nn/modules/koopa/layers.py on lines 149..155
        pypots/nn/modules/koopa/layers.py on lines 162..168
        pypots/nn/modules/koopa/layers.py on lines 173..179

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 66.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        Identical blocks of code found in 2 locations. Consider refactoring.
        Open

                z_rec = torch.cat((z[:, :1], torch.bmm(x, self.K)), dim=1)  # B L E
        Severity: Minor
        Found in pypots/nn/modules/koopa/layers.py and 1 other location - About 50 mins to fix
        pypots/nn/modules/koopa/layers.py on lines 111..111

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 36.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        Identical blocks of code found in 2 locations. Consider refactoring.
        Open

                    z_rec = torch.cat((z[:, :1], torch.bmm(x, self.K)), dim=1)
        Severity: Minor
        Found in pypots/nn/modules/koopa/layers.py and 1 other location - About 50 mins to fix
        pypots/nn/modules/koopa/layers.py on lines 158..158

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 36.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

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