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src/torchio/transforms/augmentation/spatial/random_affine.py

Summary

Maintainability
C
1 day
Test Coverage

File random_affine.py has 415 lines of code (exceeds 250 allowed). Consider refactoring.
Open

from numbers import Number
from typing import Optional
from typing import Sequence
from typing import Tuple
from typing import Union
Severity: Minor
Found in src/torchio/transforms/augmentation/spatial/random_affine.py - About 5 hrs to fix

    Function apply_transform has a Cognitive Complexity of 15 (exceeds 5 allowed). Consider refactoring.
    Open

        def apply_transform(self, subject: Subject) -> Subject:
        if self.check_shape:
            subject.check_consistent_spatial_shape()
        default_value: float
        for image in self.get_images(subject):
    Severity: Minor
    Found in src/torchio/transforms/augmentation/spatial/random_affine.py - About 1 hr 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 10 arguments (exceeds 4 allowed). Consider refactoring.
    Open

        def __init__(
    Severity: Major
    Found in src/torchio/transforms/augmentation/spatial/random_affine.py - About 1 hr to fix

      Function __init__ has 9 arguments (exceeds 4 allowed). Consider refactoring.
      Open

          def __init__(
      Severity: Major
      Found in src/torchio/transforms/augmentation/spatial/random_affine.py - About 1 hr to fix

        Function get_affine_transform has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
        Open

            def get_affine_transform(self, image):
        scaling = np.asarray(self.scales).copy()
        rotation = np.asarray(self.degrees).copy()
        translation = np.asarray(self.translation).copy()
        Severity: Minor
        Found in src/torchio/transforms/augmentation/spatial/random_affine.py - About 25 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

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