oujago/NumpyDL

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npdl/initializations.py

Summary

Maintainability
D
2 days
Test Coverage

Function get has a Cognitive Complexity of 23 (exceeds 5 allowed). Consider refactoring.
Open

def get(initialization):
    if initialization.__class__.__name__ == 'str':
        if initialization in ['zero', 'Zero']:
            return Zero()
        if initialization in ['one', 'One']:
Severity: Minor
Found in npdl/initializations.py - About 3 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

Avoid too many return statements within this function.
Open

            return LecunUniform()
Severity: Major
Found in npdl/initializations.py - About 30 mins to fix

    Avoid too many return statements within this function.
    Open

            return copy.deepcopy(initialization)
    Severity: Major
    Found in npdl/initializations.py - About 30 mins to fix

      Avoid too many return statements within this function.
      Open

                  return HeUniform()
      Severity: Major
      Found in npdl/initializations.py - About 30 mins to fix

        Avoid too many return statements within this function.
        Open

                    return Orthogonal()
        Severity: Major
        Found in npdl/initializations.py - About 30 mins to fix

          Avoid too many return statements within this function.
          Open

                      return GlorotNormal()
          Severity: Major
          Found in npdl/initializations.py - About 30 mins to fix

            Avoid too many return statements within this function.
            Open

                        return GlorotUniform()
            Severity: Major
            Found in npdl/initializations.py - About 30 mins to fix

              Avoid too many return statements within this function.
              Open

                          return HeNormal()
              Severity: Major
              Found in npdl/initializations.py - About 30 mins to fix

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

                class GlorotNormal(Initializer):
                    """Glorot normal initializer, also called Xavier normal initializer.
                
                    It draws samples from a truncated normal distribution centered on 0
                    with `stddev = sqrt(2 / (fan_in + fan_out))` [1]_
                Severity: Major
                Found in npdl/initializations.py and 1 other location - About 2 hrs to fix
                npdl/initializations.py on lines 124..138

                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 55.

                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

                class GlorotUniform(Initializer):
                    """Glorot uniform initializer, also called Xavier uniform initializer.
                
                    It draws samples from a uniform distribution within [-limit, limit]
                    where `limit` is `sqrt(6 / (fan_in + fan_out))` [1]_
                Severity: Major
                Found in npdl/initializations.py and 1 other location - About 2 hrs to fix
                npdl/initializations.py on lines 141..155

                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 55.

                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

                class LecunUniform(Initializer):
                    """LeCun uniform initializer.
                
                    It draws samples from a uniform distribution within [-limit, limit]
                    where `limit` is `sqrt(3 / fan_in)` [1]_
                Severity: Major
                Found in npdl/initializations.py and 2 other locations - About 1 hr to fix
                npdl/initializations.py on lines 158..171
                npdl/initializations.py on lines 174..187

                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 49.

                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

                class HeNormal(Initializer):
                    """He normal initializer.
                
                    It draws samples from a truncated normal distribution centered on 0
                    with `stddev = sqrt(2 / fan_in)` [1]_
                Severity: Major
                Found in npdl/initializations.py and 2 other locations - About 1 hr to fix
                npdl/initializations.py on lines 107..121
                npdl/initializations.py on lines 174..187

                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 49.

                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

                class HeUniform(Initializer):
                    """He uniform variance scaling initializer.
                
                    It draws samples from a uniform distribution within [-limit, limit]
                    where `limit` is `sqrt(6 / fan_in)` [1]_
                Severity: Major
                Found in npdl/initializations.py and 2 other locations - About 1 hr to fix
                npdl/initializations.py on lines 107..121
                npdl/initializations.py on lines 158..171

                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 49.

                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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