jhfjhfj1/autokeras

View on GitHub
autokeras/analysers/output_analysers_test.py

Summary

Maintainability
D
2 days
Test Coverage

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

def test_wrong_num_classes_error():
    analyser = output_analysers.ClassificationAnalyser(name="a", num_classes=5)
    dataset = tf.data.Dataset.from_tensor_slices(np.random.rand(10, 3)).batch(
        32
    )
Severity: Major
Found in autokeras/analysers/output_analysers_test.py and 1 other location - About 6 hrs to fix
autokeras/analysers/output_analysers_test.py on lines 148..159

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 99.

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_reg_with_specified_output_dim_error():
    analyser = output_analysers.RegressionAnalyser(name="a", output_dim=3)
    dataset = tf.data.Dataset.from_tensor_slices(np.random.rand(10, 2)).batch(
        32
    )
Severity: Major
Found in autokeras/analysers/output_analysers_test.py and 1 other location - About 6 hrs to fix
autokeras/analysers/output_analysers_test.py on lines 51..62

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 99.

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_specify_five_classes():
    analyser = output_analysers.ClassificationAnalyser(name="a", num_classes=5)
    dataset = tf.data.Dataset.from_tensor_slices(np.random.rand(10, 5)).batch(
        32
    )
Severity: Major
Found in autokeras/analysers/output_analysers_test.py and 1 other location - About 4 hrs to fix
autokeras/analysers/output_analysers_test.py on lines 120..130

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 83.

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_specify_two_classes_fit_single_column():
    analyser = output_analysers.ClassificationAnalyser(name="a", num_classes=2)
    dataset = tf.data.Dataset.from_tensor_slices(np.random.rand(10, 1)).batch(
        32
    )
Severity: Major
Found in autokeras/analysers/output_analysers_test.py and 1 other location - About 4 hrs to fix
autokeras/analysers/output_analysers_test.py on lines 107..117

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 83.

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

    dataset = tf.data.Dataset.from_tensor_slices(
        np.random.rand(100, 32, 32, 3)
Severity: Minor
Found in autokeras/analysers/output_analysers_test.py and 1 other location - About 30 mins to fix
autokeras/analysers/input_analysers_test.py on lines 25..26

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

There are no issues that match your filters.

Category
Status