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research/object_detection/metrics/oid_challenge_evaluation_utils_test.py

Summary

Maintainability
B
5 hrs
Test Coverage

File oid_challenge_evaluation_utils_test.py has 253 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2018 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.
# You may obtain a copy of the License at
Severity: Minor
Found in research/object_detection/metrics/oid_challenge_evaluation_utils_test.py - About 2 hrs to fix

    Similar blocks of code found in 5 locations. Consider refactoring.
    Open

        mask_np = np.array([[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]])
    Severity: Major
    Found in research/object_detection/metrics/oid_challenge_evaluation_utils_test.py and 4 other locations - About 50 mins to fix
    official/legacy/transformer/transformer_forward_test.py on lines 119..120
    research/object_detection/core/target_assigner_test.py on lines 450..453
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 63..63
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 66..66

    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

    Similar blocks of code found in 5 locations. Consider refactoring.
    Open

        mask_np = np.array([[0, 0, 0, 0], [0, 1, 0, 1], [0, 1, 0, 1], [0, 1, 1, 1]])
    Severity: Major
    Found in research/object_detection/metrics/oid_challenge_evaluation_utils_test.py and 4 other locations - About 50 mins to fix
    official/legacy/transformer/transformer_forward_test.py on lines 119..120
    research/object_detection/core/target_assigner_test.py on lines 450..453
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 63..63
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 69..69

    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

    Similar blocks of code found in 5 locations. Consider refactoring.
    Open

        mask_np = np.array([[0, 0, 0, 0], [0, 1, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0]])
    Severity: Major
    Found in research/object_detection/metrics/oid_challenge_evaluation_utils_test.py and 4 other locations - About 50 mins to fix
    official/legacy/transformer/transformer_forward_test.py on lines 119..120
    research/object_detection/core/target_assigner_test.py on lines 450..453
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 66..66
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 69..69

    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

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

        expected_segm = np.concatenate(
        [np.expand_dims(mask1, 0),
         np.expand_dims(mask2, 0)], axis=0)
    Severity: Minor
    Found in research/object_detection/metrics/oid_challenge_evaluation_utils_test.py and 1 other location - About 30 mins to fix
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 86..88

    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 32.

    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_segm = np.concatenate(
        [np.expand_dims(mask1, 0),
         np.expand_dims(mask2, 0)], axis=0)
    Severity: Minor
    Found in research/object_detection/metrics/oid_challenge_evaluation_utils_test.py and 1 other location - About 30 mins to fix
    research/object_detection/metrics/oid_challenge_evaluation_utils_test.py on lines 299..301

    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 32.

    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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