WenjieDu/PyPOTS

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File layers.py has 817 lines of code (exceeds 250 allowed). Consider refactoring.
Open

"""

"""

# Created by Wenjie Du <wenjay.du@gmail.com>
Severity: Major
Found in pypots/nn/modules/fedformer/layers.py - About 1 day to fix

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

        @staticmethod
        def time_embedding(pos, d_model=128):
            pe = torch.zeros(pos.shape[0], pos.shape[1], d_model).to(pos.device)
            position = pos.unsqueeze(2)
            div_term = 1 / torch.pow(
    Severity: Major
    Found in pypots/forecasting/csdi/core.py and 1 other location - About 1 day to fix
    pypots/imputation/csdi/core.py on lines 56..65

    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 158.

    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

        @staticmethod
        def time_embedding(pos, d_model=128):
            pe = torch.zeros(pos.shape[0], pos.shape[1], d_model).to(pos.device)
            position = pos.unsqueeze(2)
            div_term = 1 / torch.pow(
    Severity: Major
    Found in pypots/imputation/csdi/core.py and 1 other location - About 1 day to fix
    pypots/forecasting/csdi/core.py on lines 58..67

    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 158.

    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

            modules_U += [
                nn.ReplicationPad1d((pad_l, pad_r)),
                nn.Conv1d(
                    in_planes * prev_size,
                    int(in_planes * size_hidden),
    Severity: Major
    Found in pypots/nn/modules/scinet/layers.py and 3 other locations - About 7 hrs to fix
    pypots/nn/modules/scinet/layers.py on lines 66..85
    pypots/nn/modules/scinet/layers.py on lines 109..128
    pypots/nn/modules/scinet/layers.py on lines 130..149

    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 117.

    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

            modules_phi += [
                nn.ReplicationPad1d((pad_l, pad_r)),
                nn.Conv1d(
                    in_planes * prev_size,
                    int(in_planes * size_hidden),
    Severity: Major
    Found in pypots/nn/modules/scinet/layers.py and 3 other locations - About 7 hrs to fix
    pypots/nn/modules/scinet/layers.py on lines 66..85
    pypots/nn/modules/scinet/layers.py on lines 87..106
    pypots/nn/modules/scinet/layers.py on lines 130..149

    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 117.

    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

            modules_psi += [
                nn.ReplicationPad1d((pad_l, pad_r)),
                nn.Conv1d(
                    in_planes * prev_size,
                    int(in_planes * size_hidden),
    Severity: Major
    Found in pypots/nn/modules/scinet/layers.py and 3 other locations - About 7 hrs to fix
    pypots/nn/modules/scinet/layers.py on lines 66..85
    pypots/nn/modules/scinet/layers.py on lines 87..106
    pypots/nn/modules/scinet/layers.py on lines 109..128

    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 117.

    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

            modules_P += [
                nn.ReplicationPad1d((pad_l, pad_r)),
                nn.Conv1d(
                    in_planes * prev_size,
                    int(in_planes * size_hidden),
    Severity: Major
    Found in pypots/nn/modules/scinet/layers.py and 3 other locations - About 7 hrs to fix
    pypots/nn/modules/scinet/layers.py on lines 87..106
    pypots/nn/modules/scinet/layers.py on lines 109..128
    pypots/nn/modules/scinet/layers.py on lines 130..149

    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 117.

    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 base.py has 420 lines of code (exceeds 250 allowed). Consider refactoring.
    Open

    """
    The base (abstract) classes for models in PyPOTS.
    """
    
    # Created by Wenjie Du <wenjay.du@gmail.com>
    Severity: Minor
    Found in pypots/base.py - About 6 hrs to fix

      File model.py has 416 lines of code (exceeds 250 allowed). Consider refactoring.
      Open

      """
      The implementation of VaDER for the partially-observed time-series clustering task.
      
      """
      
      
      Severity: Minor
      Found in pypots/clustering/vader/model.py - About 6 hrs to fix

        File model.py has 394 lines of code (exceeds 250 allowed). Consider refactoring.
        Open

        """
        The implementation of CSDI for the partially-observed time-series forecasting task.
        
        """
        
        
        Severity: Minor
        Found in pypots/forecasting/csdi/model.py - About 5 hrs to fix

          File model.py has 387 lines of code (exceeds 250 allowed). Consider refactoring.
          Open

          """
          The implementation of GP-VAE for the partially-observed time-series imputation task.
          
          """
          
          
          Severity: Minor
          Found in pypots/imputation/gpvae/model.py - About 5 hrs to fix

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

                    if training:  # for training
                        (observed_data, indicating_mask, cond_mask, observed_tp, feature_id) = (
                            inputs["X_ori"],
                            inputs["indicating_mask"],
                            inputs["cond_mask"],
            Severity: Major
            Found in pypots/forecasting/csdi/core.py and 1 other location - About 5 hrs to fix
            pypots/forecasting/csdi/core.py on lines 114..126

            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 89.

            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

                    elif not training and n_sampling_times == 0:  # for validating
                        (observed_data, indicating_mask, cond_mask, observed_tp, feature_id) = (
                            inputs["X_ori"],
                            inputs["indicating_mask"],
                            inputs["cond_mask"],
            Severity: Major
            Found in pypots/forecasting/csdi/core.py and 1 other location - About 5 hrs to fix
            pypots/forecasting/csdi/core.py on lines 101..113

            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 89.

            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 382 lines of code (exceeds 250 allowed). Consider refactoring.
            Open

            """
            The implementation of USGAN for the partially-observed time-series imputation task.
            
            """
            
            
            Severity: Minor
            Found in pypots/imputation/usgan/model.py - About 5 hrs to fix

              File model.py has 378 lines of code (exceeds 250 allowed). Consider refactoring.
              Open

              """
              The implementation of CRLI (Clustering Representation Learning on Incomplete time-series data) for
              the partially-observed time-series clustering task.
              
              """
              Severity: Minor
              Found in pypots/clustering/crli/model.py - About 5 hrs to fix

                File model.py has 373 lines of code (exceeds 250 allowed). Consider refactoring.
                Open

                """
                The implementation of CSDI for the partially-observed time-series imputation task.
                
                """
                
                
                Severity: Minor
                Found in pypots/imputation/csdi/model.py - About 4 hrs to fix

                  File base.py has 368 lines of code (exceeds 250 allowed). Consider refactoring.
                  Open

                  """
                  The base classes for PyPOTS classification models.
                  """
                  
                  # Created by Wenjie Du <wenjay.du@gmail.com>
                  Severity: Minor
                  Found in pypots/classification/base.py - About 4 hrs to fix

                    File base.py has 367 lines of code (exceeds 250 allowed). Consider refactoring.
                    Open

                    """
                    The base dataset class.
                    """
                    
                    # Created by Wenjie Du <wenjay.du@gmail.com>
                    Severity: Minor
                    Found in pypots/data/dataset/base.py - About 4 hrs to fix

                      File base.py has 365 lines of code (exceeds 250 allowed). Consider refactoring.
                      Open

                      """
                      The base classes for PyPOTS forecasting models.
                      """
                      
                      # Created by Wenjie Du <wenjay.du@gmail.com>
                      Severity: Minor
                      Found in pypots/forecasting/base.py - About 4 hrs to fix

                        File base.py has 365 lines of code (exceeds 250 allowed). Consider refactoring.
                        Open

                        """
                        The base class for PyPOTS imputation models.
                        """
                        
                        # Created by Wenjie Du <wenjay.du@gmail.com>
                        Severity: Minor
                        Found in pypots/imputation/base.py - About 4 hrs to fix
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