WenjieDu/PyPOTS

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pypots/nn/modules/scinet/layers.py

Summary

Maintainability
F
4 days
Test Coverage

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

    def __init__(
Severity: Major
Found in pypots/nn/modules/scinet/layers.py - About 50 mins to fix

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

        def __init__(self, in_planes, num_levels, kernel_size, dropout, groups, hidden_size, INN):
    Severity: Major
    Found in pypots/nn/modules/scinet/layers.py - About 50 mins to fix

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

          def __init__(self, in_planes, current_level, kernel_size, dropout, groups, hidden_size, INN):
      Severity: Major
      Found in pypots/nn/modules/scinet/layers.py - About 50 mins to fix

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

            def __init__(self, in_planes, kernel, dropout, groups, hidden_size, INN):
        Severity: Minor
        Found in pypots/nn/modules/scinet/layers.py - About 45 mins to fix

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

              def __init__(self, in_planes, kernel_size, dropout, groups, hidden_size, INN):
          Severity: Minor
          Found in pypots/nn/modules/scinet/layers.py - About 45 mins to fix

            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 83..102
            pypots/nn/modules/scinet/layers.py on lines 105..124
            pypots/nn/modules/scinet/layers.py on lines 126..145

            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_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 62..81
            pypots/nn/modules/scinet/layers.py on lines 105..124
            pypots/nn/modules/scinet/layers.py on lines 126..145

            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 62..81
            pypots/nn/modules/scinet/layers.py on lines 83..102
            pypots/nn/modules/scinet/layers.py on lines 126..145

            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 62..81
            pypots/nn/modules/scinet/layers.py on lines 83..102
            pypots/nn/modules/scinet/layers.py on lines 105..124

            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 3 locations. Consider refactoring.
            Open

                        pad_l = self.dilation * (self.kernel_size - 2) // 2 + 1  # by default: stride==1
            Severity: Minor
            Found in pypots/nn/modules/scinet/layers.py and 2 other locations - About 35 mins to fix
            pypots/nn/modules/scinet/layers.py on lines 50..50
            pypots/nn/modules/scinet/layers.py on lines 51..51

            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 33.

            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 3 locations. Consider refactoring.
            Open

                        pad_l = self.dilation * (self.kernel_size - 1) // 2 + 1  # we fix the kernel size of the second layer as 3.
            Severity: Minor
            Found in pypots/nn/modules/scinet/layers.py and 2 other locations - About 35 mins to fix
            pypots/nn/modules/scinet/layers.py on lines 46..46
            pypots/nn/modules/scinet/layers.py on lines 51..51

            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 33.

            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 3 locations. Consider refactoring.
            Open

                        pad_r = self.dilation * (self.kernel_size - 1) // 2 + 1
            Severity: Minor
            Found in pypots/nn/modules/scinet/layers.py and 2 other locations - About 35 mins to fix
            pypots/nn/modules/scinet/layers.py on lines 46..46
            pypots/nn/modules/scinet/layers.py on lines 50..50

            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 33.

            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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