Code Duplication - TorchIO-project/torchio - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 14-15 lines in 2 locations

tests/transforms/test_custom_image_subclass_fix.py 1 location


import torchio as tio


class HistoryScalarImage(tio.ScalarImage):
    """Custom ScalarImage subclass that stores history metadata."""

    def __init__(self, tensor, affine, history, **kwargs):
        super().__init__(tensor=tensor, affine=affine, **kwargs)
        self.history = history

    def new_like(self, tensor, affine=None):
        """Override new_like to preserve history attribute."""
        return type(self)(
            tensor=tensor,
            affine=affine if affine is not None else self.affine,
            history=self.history,  # Preserve custom attribute
            check_nans=self.check_nans,
            reader=self.reader,
        )



tests/transforms/test_custom_image_subclass.py 1 location


import torchio as tio


class HistoryImage(tio.ScalarImage):
    """Test custom Image with required parameter."""

    def __init__(self, tensor, affine, history, **kwargs):
        super().__init__(tensor=tensor, affine=affine, **kwargs)
        self.history = history

    def new_like(self, tensor, affine=None):
        return type(self)(
            tensor=tensor,
            affine=affine if affine is not None else self.affine,
            history=self.history,
            check_nans=self.check_nans,
            reader=self.reader,
        )



		@@ 8-22 (lines=15) @@
5		import torchio as tio
6
7
8		class HistoryScalarImage(tio.ScalarImage):
9		"""Custom ScalarImage subclass that stores history metadata."""
10
11		def __init__(self, tensor, affine, history, **kwargs):
12		super().__init__(tensor=tensor, affine=affine, **kwargs)
13		self.history = history
14
15		def new_like(self, tensor, affine=None):
16		"""Override new_like to preserve history attribute."""
17		return type(self)(
18		tensor=tensor,
19		affine=affine if affine is not None else self.affine,
20		history=self.history, # Preserve custom attribute
21		check_nans=self.check_nans,
22		reader=self.reader,
23		)
24
25

		@@ 8-21 (lines=14) @@
5		import torchio as tio
6
7
8		class HistoryImage(tio.ScalarImage):
9		"""Test custom Image with required parameter."""
10
11		def __init__(self, tensor, affine, history, **kwargs):
12		super().__init__(tensor=tensor, affine=affine, **kwargs)
13		self.history = history
14
15		def new_like(self, tensor, affine=None):
16		return type(self)(
17		tensor=tensor,
18		affine=affine if affine is not None else self.affine,
19		history=self.history,
20		check_nans=self.check_nans,
21		reader=self.reader,
22		)
23
24

TorchIO-project / torchio

Code Duplication Length = 14-15 lines in 2 locations

tests/transforms/test_custom_image_subclass_fix.py 1 location

tests/transforms/test_custom_image_subclass.py 1 location