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official/projects/centernet/losses/centernet_losses_test.py

Summary

Maintainability
F
4 days
Test Coverage

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

    expected_value = np.array([
        # First batch
        [[1 / 4 * LOG_2,
          0.3 * 0.0625 * (2 * LOG_2 - LOG_3),
          1 / 16 * (2 * LOG_2 - LOG_3)],
Severity: Major
Found in official/projects/centernet/losses/centernet_losses_test.py and 1 other location - About 2 days to fix
research/object_detection/core/losses_test.py on lines 1386..1400

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 234.

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

    expected_value = np.array([
        # First batch
        [[1 / 4 * LOG_2,
          0.0,
          1 / 16 * (2 * LOG_2 - LOG_3)],
Severity: Major
Found in official/projects/centernet/losses/centernet_losses_test.py and 1 other location - About 6 hrs to fix
research/object_detection/core/losses_test.py on lines 1416..1430

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 108.

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

    self._prediction = np.array([
        # First batch
        [[1 / 2, 1 / 4, 3 / 4],
         [3 / 4, 1 / 3, 1 / 3]],
        # Second Batch
Severity: Major
Found in official/projects/centernet/losses/centernet_losses_test.py and 1 other location - About 6 hrs to fix
research/object_detection/core/losses_test.py on lines 1358..1364

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 101.

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

    self._target = np.array([
        # First batch
        [[1.0, 0.91, 1.0],
         [0.36, 0.84, 1.0]],
        # Second Batch
Severity: Major
Found in official/projects/centernet/losses/centernet_losses_test.py and 1 other location - About 1 hr to fix
research/object_detection/core/losses_test.py on lines 1367..1373

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 41.

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 9 locations. Consider refactoring.
Open

      weights = tf.constant([
          [[1.0, 0.0, 1.0], [0.0, 0.0, 1.0]],
          [[1.0, 1.0, 1.0], [0.0, 0.0, 0.0]],
Severity: Major
Found in official/projects/centernet/losses/centernet_losses_test.py and 8 other locations - About 50 mins to fix
official/projects/waste_identification_ml/model_inference/color_and_property_extractor_test.py on lines 75..82
official/projects/waste_identification_ml/model_inference/color_and_property_extractor_test.py on lines 93..100
official/projects/yt8m/modeling/yt8m_model_utils_test.py on lines 29..31
research/deeplab/utils/get_dataset_colormap_test.py on lines 82..84
research/delf/delf/python/datum_io_test.py on lines 73..74
research/delf/delf/python/datum_io_test.py on lines 84..85
research/object_detection/core/losses_test.py on lines 1405..1407
research/object_detection/meta_architectures/center_net_meta_arch_tf2_test.py on lines 1501..1503

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 36.

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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