Code Duplication - DeepRegNet/DeepReg - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 22-23 lines in 3 locations

test/unit/test_backbone_local_net.py 1 location


        output = network.call(inputs)
        assert inputs.shape == output.shape

    def test_get_config(self):
        config = dict(
            image_size=(4, 5, 6),
            out_channels=3,
            num_channel_initial=2,
            depth=2,
            extract_levels=(0, 1),
            out_kernel_initializer="he_normal",
            out_activation="softmax",
            pooling=False,
            concat_skip=False,
            use_additive_upsampling=True,
            encode_kernel_sizes=[7, 3, 3],
            decode_kernel_sizes=3,
            encode_num_channels=(2, 4, 8),
            decode_num_channels=(2, 4, 8),
            strides=2,
            padding="same",
            name="Test",
        )
        network = LocalNet(**config)
        got = network.get_config()
        assert got == config


test/unit/test_backbone_unet.py 1 location


        output = network.call(inputs)
        assert inputs.shape == output.shape

    def test_get_config(self):
        config = dict(
            image_size=(4, 5, 6),
            out_channels=3,
            num_channel_initial=2,
            depth=2,
            extract_levels=(0, 1),
            out_kernel_initializer="he_normal",
            out_activation="softmax",
            pooling=False,
            concat_skip=False,
            encode_kernel_sizes=3,
            decode_kernel_sizes=3,
            encode_num_channels=(2, 4, 8),
            decode_num_channels=(2, 4, 8),
            strides=2,
            padding="same",
            name="Test",
        )
        network = UNet(**config)
        got = network.get_config()
        assert got == config


test/unit/test_backbone_global_net.py 1 location


            )
        assert "GlobalNet requires `depth` or `extract_levels`" in str(err_info.value)

    def test_get_config(self):
        config = dict(
            image_size=(4, 5, 6),
            out_channels=3,
            num_channel_initial=2,
            depth=2,
            extract_levels=(2,),
            out_kernel_initializer="he_normal",
            out_activation="softmax",
            pooling=False,
            concat_skip=False,
            encode_kernel_sizes=[7, 3, 3],
            decode_kernel_sizes=3,
            encode_num_channels=[2, 4, 8],
            decode_num_channels=[2, 4, 8],
            strides=2,
            padding="same",
            name="Test",
        )
        network = GlobalNet(**config)
        got = network.get_config()
        assert got == config


		@@ 89-111 (lines=23) @@
86		output = network.call(inputs)
87		assert inputs.shape == output.shape
88
89		def test_get_config(self):
90		config = dict(
91		image_size=(4, 5, 6),
92		out_channels=3,
93		num_channel_initial=2,
94		depth=2,
95		extract_levels=(0, 1),
96		out_kernel_initializer="he_normal",
97		out_activation="softmax",
98		pooling=False,
99		concat_skip=False,
100		use_additive_upsampling=True,
101		encode_kernel_sizes=[7, 3, 3],
102		decode_kernel_sizes=3,
103		encode_num_channels=(2, 4, 8),
104		decode_num_channels=(2, 4, 8),
105		strides=2,
106		padding="same",
107		name="Test",
108		)
109		network = LocalNet(**config)
110		got = network.get_config()
111		assert got == config
112

		@@ 113-134 (lines=22) @@
110		output = network.call(inputs)
111		assert inputs.shape == output.shape
112
113		def test_get_config(self):
114		config = dict(
115		image_size=(4, 5, 6),
116		out_channels=3,
117		num_channel_initial=2,
118		depth=2,
119		extract_levels=(0, 1),
120		out_kernel_initializer="he_normal",
121		out_activation="softmax",
122		pooling=False,
123		concat_skip=False,
124		encode_kernel_sizes=3,
125		decode_kernel_sizes=3,
126		encode_num_channels=(2, 4, 8),
127		decode_num_channels=(2, 4, 8),
128		strides=2,
129		padding="same",
130		name="Test",
131		)
132		network = UNet(**config)
133		got = network.get_config()
134		assert got == config
135

		@@ 93-114 (lines=22) @@
90		)
91		assert "GlobalNet requires `depth` or `extract_levels`" in str(err_info.value)
92
93		def test_get_config(self):
94		config = dict(
95		image_size=(4, 5, 6),
96		out_channels=3,
97		num_channel_initial=2,
98		depth=2,
99		extract_levels=(2,),
100		out_kernel_initializer="he_normal",
101		out_activation="softmax",
102		pooling=False,
103		concat_skip=False,
104		encode_kernel_sizes=[7, 3, 3],
105		decode_kernel_sizes=3,
106		encode_num_channels=[2, 4, 8],
107		decode_num_channels=[2, 4, 8],
108		strides=2,
109		padding="same",
110		name="Test",
111		)
112		network = GlobalNet(**config)
113		got = network.get_config()
114		assert got == config
115

DeepRegNet / DeepReg

Code Duplication Length = 22-23 lines in 3 locations

test/unit/test_backbone_local_net.py 1 location

test/unit/test_backbone_unet.py 1 location

test/unit/test_backbone_global_net.py 1 location