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LibMTL/architecture/LTB.py

Summary

Maintainability
F
4 days
Test Coverage

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

    def forward(self, inputs, epoch, epochs):
        if epoch < epochs/100: # warmup
            alpha = torch.ones(6, self.task_num, self.task_num).to(self.device)
        else:
            tau = epochs/20 / np.sqrt(epoch+1) # tau decay
Severity: Minor
Found in LibMTL/architecture/LTB.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 7 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, task_name, encoder_class, decoders, rep_grad, multi_input, device, **kwargs):
Severity: Major
Found in LibMTL/architecture/LTB.py - About 50 mins to fix

    Function forward has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
    Open

        def forward(self, inputs, task_name=None):
        r"""
        Args: 
            inputs (torch.Tensor): The input data.
            task_name (str, default=None): The task name corresponding to ``inputs`` if ``multi_input`` is ``True``.
    Severity: Minor
    Found in LibMTL/architecture/LTB.py - About 35 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

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

        def __init__(self, encoder_list, task_name, device):
        super(_transform_resnet_ltb, self).__init__()
        
        self.task_name = task_name
        self.task_num = len(task_name)
    Severity: Major
    Found in LibMTL/architecture/LTB.py and 1 other location - About 2 days to fix
    LibMTL/architecture/Cross_stitch.py on lines 9..23

    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 254.

    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

            for tn, task in enumerate(self.task_name):
            if task_name is not None and task != task_name:
                continue
            ss_rep = s_rep[tn] if isinstance(s_rep, list) else s_rep
            ss_rep = self._prepare_rep(ss_rep, task, same_rep)
    Severity: Major
    Found in LibMTL/architecture/LTB.py and 1 other location - About 5 hrs to fix
    LibMTL/architecture/abstract_arch.py on lines 49..54

    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 95.

    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

        def __init__(self, task_name, encoder_class, decoders, rep_grad, multi_input, device, **kwargs):
        super(LTB, self).__init__(task_name, encoder_class, decoders, rep_grad, multi_input, device, **kwargs)

        if self.multi_input:
            raise ValueError('No support LTB for multiple inputs MTL problem')
    Severity: Major
    Found in LibMTL/architecture/LTB.py and 1 other location - About 5 hrs to fix
    LibMTL/architecture/Cross_stitch.py on lines 49..56

    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 92.

    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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