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research/object_detection/builders/calibration_builder_test.py

Summary

Maintainability
F
3 days
Test Coverage

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

  def test_tf_linear_interp1d_map(self):
    """Tests TF linear interpolation mapping to a single number."""
    def graph_fn():
      tf_x = tf.constant([0., 0.5, 1.])
      tf_y = tf.constant([0.5, 0.5, 0.5])
Severity: Major
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 6 hrs to fix
research/object_detection/builders/calibration_builder_test.py on lines 44..54

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 104.

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 2 locations. Consider refactoring.
Open

  def test_tf_linear_interp1d_interpolate(self):
    """Tests TF 1d linear interpolation not mapping to a single number."""
    def graph_fn():
      tf_x = tf.constant([0., 0.5, 1.])
      tf_y = tf.constant([0.6, 0.7, 1.0])
Severity: Major
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 6 hrs to fix
research/object_detection/builders/calibration_builder_test.py on lines 32..42

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 104.

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

    def graph_fn():
      calibration_fn = calibration_builder.build(calibration_config)
      # batch_size = 2, num_classes = 2, num_anchors = 2.
      class_predictions_with_background = tf.constant(
          [[[0.1, 0.2, 0.3], [0.4, 0.5, 0.0]],
Severity: Major
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 3 hrs to fix
research/object_detection/builders/calibration_builder_test.py on lines 134..145

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 69.

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

    def graph_fn():
      calibration_fn = calibration_builder.build(calibration_config)
      # batch_size = 2, num_classes = 2, num_anchors = 2.
      class_predictions_with_background = tf.constant(
          [[[0.1, 0.2, 0.3],
Severity: Major
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 3 hrs to fix
research/object_detection/builders/calibration_builder_test.py on lines 185..193

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 69.

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

    def graph_fn():
      calibration_fn = calibration_builder.build(calibration_config)
      # batch_size = 2, num_classes = 2, num_anchors = 2.
      class_predictions_with_background = tf.constant(
          [[[0.1, 0.2], [0.9, 0.1]],
Severity: Major
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 3 hrs to fix
research/object_detection/builders/calibration_builder_test.py on lines 218..226

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 65.

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

    def graph_fn():
      calibration_fn = calibration_builder.build(calibration_config)
      # batch_size = 2, num_classes = 2, num_anchors = 2.
      class_predictions_with_background = tf.constant(
          [[[0.1, 0.2], [0.9, 0.1]],
Severity: Major
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 3 hrs to fix
research/object_detection/builders/calibration_builder_test.py on lines 167..175

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 65.

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 2 locations. Consider refactoring.
Open

    self.assertAllClose(calibrated_scores_np,
                        [[[0.05, 0.1, 0.15], [0.2, 0.25, 0.0]],
                         [[0.3, 0.35, 0.4], [0.45, 0.5, 0.5]]])
Severity: Minor
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 45 mins to fix
research/object_detection/builders/calibration_builder_test.py on lines 147..150

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 35.

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 2 locations. Consider refactoring.
Open

    self.assertAllClose(calibrated_scores_np, [[[0.05, 0.1, 0.15],
                                                [0.2, 0.25, 0.0]],
                                               [[0.35, 0.45, 0.55],
                                                [0.65, 0.75, 0.75]]])
Severity: Minor
Found in research/object_detection/builders/calibration_builder_test.py and 1 other location - About 45 mins to fix
research/object_detection/builders/calibration_builder_test.py on lines 195..197

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 35.

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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