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research/deeplab/evaluation/panoptic_quality_test.py

Summary

Maintainability
F
6 days
Test Coverage

File panoptic_quality_test.py has 282 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
Severity: Minor
Found in research/deeplab/evaluation/panoptic_quality_test.py - About 2 hrs to fix

    Similar blocks of code found in 28 locations. Consider refactoring.
    Open

        gt_labels = np.array(
            [
                [1, 1, 1, 1, 1, 1],
                [1, 1, 1, 1, 1, 1],
                [1, 1, 2, 2, 2, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        good_det_labels = np.array(
            [
                [1, 1, 1, 1, 1, 1],
                [1, 1, 1, 1, 1, 1],
                [1, 2, 2, 2, 2, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        instances = np.array([
            [1, 1, 1, 1, 1, 1],
            [1, 2, 2, 2, 2, 1],
            [1, 2, 2, 2, 2, 1],
            [1, 2, 2, 2, 2, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        gt_labels = np.array([
            [1, 1, 1, 1, 1, 1],
            [1, 1, 1, 1, 1, 1],
            [1, 1, 2, 2, 2, 1],
            [1, 2, 2, 2, 2, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        bad_det_labels = np.array(
            [
                [1, 1, 1, 1, 1, 1],
                [1, 1, 1, 1, 1, 1],
                [1, 1, 1, 2, 2, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        groundtruth_instances = np.array([
            [0, 0, 0, 0, 0, 0],
            [0, 0, 0, 0, 0, 0],
            [0, 1, 1, 0, 0, 0],
            [0, 1, 1, 0, 0, 0],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        predicted_instances = np.array([
            [0, 0, 0, 0, 0, 0],
            [0, 0, 0, 0, 0, 0],
            [0, 0, 0, 0, 1, 1],
            [0, 0, 0, 0, 1, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        bad_det_labels = np.array([
            [1, 1, 1, 1, 1, 1],
            [1, 1, 1, 1, 1, 1],
            [1, 1, 1, 2, 2, 1],
            [1, 1, 1, 2, 2, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        det_categories = np.array([
            [0, 0, 0, 0, 0, 0],
            [0, 1, 0, 0, 1, 0],
            [0, 1, 1, 1, 1, 0],
            [0, 1, 1, 1, 1, 0],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        predicted_instances = np.array([
            [0, 0, 0, 0, 0, 0],
            [0, 0, 0, 0, 0, 0],
            [0, 0, 0, 0, 1, 1],
            [0, 0, 0, 0, 1, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        categories = np.array([
            [1, 1, 1, 1, 1, 1],
            [1, 1, 1, 1, 1, 1],
            [1, 2, 2, 1, 2, 2],
            [1, 2, 2, 1, 2, 2],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        good_det_labels = np.array([
            [1, 1, 1, 1, 1, 1],
            [1, 1, 1, 1, 1, 1],
            [1, 2, 2, 2, 2, 1],
            [1, 2, 2, 2, 1, 1],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 160..168
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 28 locations. Consider refactoring.
    Open

        categories = np.array([
            [1, 1, 1, 1, 1, 1],
            [1, 1, 1, 1, 1, 1],
            [1, 2, 2, 1, 2, 2],
            [1, 2, 2, 1, 2, 2],
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 27 other locations - About 3 hrs to fix
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 27..35
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 37..45
    official/vision/evaluation/panoptic_quality_evaluator_test.py on lines 70..78
    official/vision/evaluation/panoptic_quality_test.py on lines 33..41
    official/vision/evaluation/panoptic_quality_test.py on lines 72..80
    official/vision/evaluation/panoptic_quality_test.py on lines 112..121
    official/vision/evaluation/panoptic_quality_test.py on lines 123..132
    official/vision/evaluation/panoptic_quality_test.py on lines 167..176
    official/vision/evaluation/panoptic_quality_test.py on lines 197..205
    official/vision/evaluation/panoptic_quality_test.py on lines 207..215
    official/vision/evaluation/panoptic_quality_test.py on lines 247..255
    official/vision/evaluation/panoptic_quality_test.py on lines 256..264
    official/vision/evaluation/panoptic_quality_test.py on lines 265..273
    research/deeplab/evaluation/panoptic_quality_test.py on lines 47..55
    research/deeplab/evaluation/panoptic_quality_test.py on lines 71..79
    research/deeplab/evaluation/panoptic_quality_test.py on lines 98..107
    research/deeplab/evaluation/panoptic_quality_test.py on lines 108..117
    research/deeplab/evaluation/panoptic_quality_test.py on lines 136..145
    research/deeplab/evaluation/panoptic_quality_test.py on lines 169..177
    research/deeplab/evaluation/panoptic_quality_test.py on lines 196..204
    research/deeplab/evaluation/panoptic_quality_test.py on lines 205..213
    research/deeplab/evaluation/panoptic_quality_test.py on lines 214..222
    research/deeplab/evaluation/panoptic_quality_test.py on lines 278..286
    research/deeplab/evaluation/panoptic_quality_test.py on lines 287..295
    research/deeplab/evaluation/panoptic_quality_test.py on lines 306..314
    research/deeplab/evaluation/parsing_covering_test.py on lines 47..55
    research/deeplab/evaluation/parsing_covering_test.py on lines 71..79

    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 66.

    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 3 locations. Consider refactoring.
    Open

    _CLASS_COLOR_MAP = {
        (0, 0, 0): 0,
        (0, 0, 255): 1,  # Person (blue).
        (255, 0, 0): 2,  # Bear (red).
        (0, 255, 0): 3,  # Tree (lime).
    Severity: Major
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 2 other locations - About 1 hr to fix
    research/deeplab/evaluation/parsing_covering_test.py on lines 32..39
    research/deeplab/evaluation/streaming_metrics_test.py on lines 35..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 49.

    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

        np.testing.assert_array_almost_equal(pq.iou_per_class, [28 / 30 + 6 / 8])
    Severity: Minor
    Found in research/deeplab/evaluation/panoptic_quality_test.py and 1 other location - About 40 mins to fix
    official/vision/evaluation/panoptic_quality_test.py on lines 151..152

    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

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