mfinzi/pristine-ml

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

        return [img.crop((x1, y1, x1 + tw, y1 + th)) for img in imgs]

Found in oil/datasetup/joint_transforms.py and 1 other location - About 40 mins to fix

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oil/datasetup/joint_transforms.py on lines 108..108

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 34.

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

Don't Repeat Yourself on the C2 Wiki
Duplicated Code on SourceMaking
Refactoring: Improving the Design of Existing Code by Martin Fowler. Duplicated Code, p76

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

        return [img.crop((x1, y1, x1 + tw, y1 + th)) for img in imgs]

Found in oil/datasetup/joint_transforms.py and 1 other location - About 40 mins to fix

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oil/datasetup/joint_transforms.py on lines 57..57

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 34.

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

Don't Repeat Yourself on the C2 Wiki
Duplicated Code on SourceMaking
Refactoring: Improving the Design of Existing Code by Martin Fowler. Duplicated Code, p76

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, inplanes, planes, groups, stride=1, downsample=None):

Found in oil/architectures/img_classifiers/shake_shake.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, pad_type='reflect', filt_size=3, stride=2, channels=None, pad_off=0):

Found in oil/architectures/parts/antialiasing.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, perform_trial, config_spec={},

Found in oil/tuning/study.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, inplanes, planes, groups, stride=1, downsample=None):

Found in oil/architectures/img_classifiers/shake_shake.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, pad_type='reflect', filt_size=3, stride=2, channels=None, pad_off=0):

Found in oil/architectures/parts/antialiasing.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, x_dim, y_dim, with_r, *args, **kwargs):

Found in oil/architectures/parts/CoordConv.py - About 35 mins to fix

Function `_wide_layer` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def _wide_layer(self, block, planes, num_blocks, drop_rate, stride):

Found in oil/architectures/img_classifiers/wide_resnet.py - About 35 mins to fix

Function `_make_layer` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def _make_layer(self, block, planes, groups, blocks, stride=1):

Found in oil/architectures/img_classifiers/shake_shake.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, *args, cons_weight=.3, advEps=32, entMin=True, **kwargs):

Found in oil/model_trainers/vat.py - About 35 mins to fix

Function `_make_layer` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def _make_layer(self, block, planes, groups, blocks, stride=1):

Found in oil/architectures/img_classifiers/shake_shake.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, in_channels, out_channels, kernel_size, with_r=False, **kwargs):

Found in oil/architectures/parts/CoordConv.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, inplanes,k=16,N=20,drop_rate=0,coords=True):

Found in oil/architectures/parts/blocks.py - About 35 mins to fix

Function `init` has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

    def __init__(self, log_dir = None,comment='', no_print=False, ema_com=0, **kwargs):

Found in oil/logging/lazyLogger.py - About 35 mins to fix

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

    def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1,bias=True, eps=1e-2, n_iter=5, momentum=0.1, mode=4, num_groups=16,debug=False):
        # mode 1: remove channel correlation then pixel correlation
        # mode 2: only remove pixel correlation
        # mode 3: only channel correlation
        # mode 4: remove channel correlation and pixel correlation together

Found in oil/architectures/parts/deconv.py - About 35 mins to fix

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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 `_make_layer` has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
Open

    def _make_layer(self, block, planes, groups, blocks, stride=1):
        downsample = None
        if stride != 1 or self.inplanes != block.out_channels(planes, groups):
            if self.downsample_mode == 'basic' or stride == 1:
                downsample = nn.Sequential(

Found in oil/architectures/img_classifiers/shake_shake.py - About 35 mins to fix

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

    def __init__(self, pad_type='reflect', filt_size=3, stride=2, channels=None, pad_off=0):
        super(Downsample, self).__init__()
        self.filt_size = filt_size
        self.pad_off = pad_off
        self.pad_sizes = [int(1.*(filt_size-1)/2), int(np.ceil(1.*(filt_size-1)/2)), int(1.*(filt_size-1)/2), int(np.ceil(1.*(filt_size-1)/2))]

Found in oil/architectures/parts/antialiasing.py - About 35 mins to fix

Read up
Read up

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

    def __init__(self, pad_type='reflect', filt_size=3, stride=2, channels=None, pad_off=0):
        super(Downsample1D, self).__init__()
        self.filt_size = filt_size
        self.pad_off = pad_off
        self.pad_sizes = [int(1. * (filt_size - 1) / 2), int(np.ceil(1. * (filt_size - 1) / 2))]

Found in oil/architectures/parts/antialiasing.py - About 35 mins to fix

Read up
Read up

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 `norm` has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
Open

def norm(d,keepdim=True):
    if len(d.shape)==4:
        norm = torch.sqrt(1e-6+(d**2).sum(3).sum(2).sum(1))
        return norm[:,None,None,None] if keepdim else norm
    elif len(d.shape)==2:

Found in oil/model_trainers/vat.py - About 35 mins to fix

Read up
Read up

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