Sign upLogin

WenjieDu/PyPOTS

View on GitHub
Star

Showing 455 of 455 total issues

Function __init__ has 20 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(
Severity: Major
Found in pypots/clustering/crli/model.py - About 2 hrs to fix

    Function __init__ has 20 arguments (exceeds 4 allowed). Consider refactoring.
    Open

        def __init__(
    Severity: Major
    Found in pypots/imputation/koopa/model.py - About 2 hrs to fix

      Function __init__ has 20 arguments (exceeds 4 allowed). Consider refactoring.
      Open

          def __init__(
      Severity: Major
      Found in pypots/imputation/nonstationary_transformer/model.py - About 2 hrs to fix

        Function __init__ has 20 arguments (exceeds 4 allowed). Consider refactoring.
        Open

            def __init__(
        Severity: Major
        Found in pypots/imputation/autoformer/model.py - About 2 hrs to fix

          File model.py has 270 lines of code (exceeds 250 allowed). Consider refactoring.
          Open

          """
The implementation of ModernTCN for the partially-observed time-series imputation task.

"""
          Severity: Minor
          Found in pypots/imputation/moderntcn/model.py - About 2 hrs to fix

            File model.py has 270 lines of code (exceeds 250 allowed). Consider refactoring.
            Open

            """
The implementation of Nonstationary-Transformer for the partially-observed time-series imputation task.

"""
            Severity: Minor
            Found in pypots/imputation/nonstationary_transformer/model.py - About 2 hrs to fix

              File model.py has 268 lines of code (exceeds 250 allowed). Consider refactoring.
              Open

              """
The implementation of FEDformer for the partially-observed time-series imputation task.

"""
              Severity: Minor
              Found in pypots/imputation/fedformer/model.py - About 2 hrs to fix

                Function _train_model has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring.
                Open

                    def _train_model(
        self,
        training_loader: DataLoader,
        val_loader: DataLoader = None,
    ) -> None:
                Severity: Minor
                Found in pypots/clustering/vader/model.py - About 2 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 _train_model has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring.
                Open

                    def _train_model(
        self,
        training_loader: DataLoader,
        val_loader: DataLoader = None,
    ) -> None:
                Severity: Minor
                Found in pypots/clustering/base.py - About 2 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 normalize_csai has a Cognitive Complexity of 18 (exceeds 5 allowed). Consider refactoring.
                Open

                def normalize_csai(
    data,
    mean: list = None,
    std: list = None,
    compute_intervals: bool = False,
                Severity: Minor
                Found in pypots/imputation/csai/data.py - About 2 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

                File model.py has 267 lines of code (exceeds 250 allowed). Consider refactoring.
                Open

                """
The implementation of SCINet for the partially-observed time-series imputation task.

"""
                Severity: Minor
                Found in pypots/imputation/scinet/model.py - About 2 hrs to fix

                  File layers.py has 266 lines of code (exceeds 250 allowed). Consider refactoring.
                  Open

                  """

"""

# Created by Wenjie Du <wenjay.du@gmail.com>
                  Severity: Minor
                  Found in pypots/nn/modules/raindrop/layers.py - About 2 hrs to fix

                    File model.py has 266 lines of code (exceeds 250 allowed). Consider refactoring.
                    Open

                    """
The implementation of SCINet for the partially-observed time-series imputation task.

"""
                    Severity: Minor
                    Found in pypots/imputation/revinscinet/model.py - About 2 hrs to fix

                      Function __init__ has 19 arguments (exceeds 4 allowed). Consider refactoring.
                      Open

                          def __init__(
                      Severity: Major
                      Found in pypots/nn/modules/reformer/lsh_attention.py - About 2 hrs to fix

                        Function __init__ has 19 arguments (exceeds 4 allowed). Consider refactoring.
                        Open

                            def __init__(
                        Severity: Major
                        Found in pypots/imputation/informer/model.py - About 2 hrs to fix

                          Function __init__ has 19 arguments (exceeds 4 allowed). Consider refactoring.
                          Open

                              def __init__(
                          Severity: Major
                          Found in pypots/imputation/tide/model.py - About 2 hrs to fix

                            Function __init__ has 19 arguments (exceeds 4 allowed). Consider refactoring.
                            Open

                                def __init__(
                            Severity: Major
                            Found in pypots/imputation/film/model.py - About 2 hrs to fix

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

                                              self.regression_layers = torch.nn.ModuleList(
                    [
                        torch.nn.Linear(
                            n_steps // (downsampling_window**i),
                            n_pred_steps,
                              Severity: Major
                              Found in pypots/nn/modules/timemixer/backbone.py and 1 other location - About 2 hrs to fix
                              pypots/nn/modules/timemixer/backbone.py on lines 83..89

                              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 54.

                              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 2 locations. Consider refactoring.
                              Open

                                          self.predict_layers = torch.nn.ModuleList(
                [
                    torch.nn.Linear(
                        n_steps // (downsampling_window**i),
                        n_pred_steps,
                              Severity: Major
                              Found in pypots/nn/modules/timemixer/backbone.py and 1 other location - About 2 hrs to fix
                              pypots/nn/modules/timemixer/backbone.py on lines 108..114

                              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 54.

                              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

                              File model.py has 262 lines of code (exceeds 250 allowed). Consider refactoring.
                              Open

                              """
The implementation of Reformer for the partially-observed time-series imputation task.

"""
                              Severity: Minor
                              Found in pypots/imputation/reformer/model.py - About 2 hrs to fix
                                Severity
                                Category
                                Status
                                Source
                                Language