QInfer/python-qinfer

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src/qinfer/tests/test_region_estimates.py

Summary

Maintainability
F
5 days
Test Coverage

Cyclomatic complexity is too high in method test_in_credible_region. (9)
Open

    def test_in_credible_region(self):

Cyclomatic Complexity

Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

Construct Effect on CC Reasoning
if +1 An if statement is a single decision.
elif +1 The elif statement adds another decision.
else +0 The else statement does not cause a new decision. The decision is at the if.
for +1 There is a decision at the start of the loop.
while +1 There is a decision at the while statement.
except +1 Each except branch adds a new conditional path of execution.
finally +0 The finally block is unconditionally executed.
with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
assert +1 The assert statement internally roughly equals a conditional statement.
Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

Source: http://radon.readthedocs.org/en/latest/intro.html

Cyclomatic complexity is too high in method test_in_credible_region. (9)
Open

    def test_in_credible_region(self):

Cyclomatic Complexity

Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

Construct Effect on CC Reasoning
if +1 An if statement is a single decision.
elif +1 The elif statement adds another decision.
else +0 The else statement does not cause a new decision. The decision is at the if.
for +1 There is a decision at the start of the loop.
while +1 There is a decision at the while statement.
except +1 Each except branch adds a new conditional path of execution.
finally +0 The finally block is unconditionally executed.
with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
assert +1 The assert statement internally roughly equals a conditional statement.
Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

Source: http://radon.readthedocs.org/en/latest/intro.html

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

        assert_array_less(
            np.hstack([x.astype('float') for x in results1]),
            np.hstack([x.astype('float') for x in results2]) + 0.5
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 2 hrs to fix
src/qinfer/tests/test_region_estimates.py on lines 348..350

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 54.

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

        assert_array_less(
            np.hstack([x.astype('float') for x in results1]),
            np.hstack([x.astype('float') for x in results2]) + 0.5
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 2 hrs to fix
src/qinfer/tests/test_region_estimates.py on lines 196..198

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 54.

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 6 locations. Consider refactoring.
Open

        results = [
            u.in_credible_region(test_points, level=0.9, method='pce'),
            u.in_credible_region(test_points, level=0.84, method='pce'),
            u.in_credible_region(test_points, level=0.5, method='pce'),
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 172..175
src/qinfer/tests/test_region_estimates.py on lines 183..186
src/qinfer/tests/test_region_estimates.py on lines 312..315
src/qinfer/tests/test_region_estimates.py on lines 324..327
src/qinfer/tests/test_region_estimates.py on lines 335..338

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 48.

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 6 locations. Consider refactoring.
Open

        results1 = [
            u.in_credible_region(test_points, level=0.9, method='hpd-hull'),
            u.in_credible_region(test_points, level=0.84, method='hpd-hull'),
            u.in_credible_region(test_points, level=0.5, method='hpd-hull'),
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 160..163
src/qinfer/tests/test_region_estimates.py on lines 172..175
src/qinfer/tests/test_region_estimates.py on lines 183..186
src/qinfer/tests/test_region_estimates.py on lines 312..315
src/qinfer/tests/test_region_estimates.py on lines 335..338

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 48.

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 6 locations. Consider refactoring.
Open

        results2 = [
            u.in_credible_region(test_points, level=0.9, method='hpd-mvee'),
            u.in_credible_region(test_points, level=0.84, method='hpd-mvee'),
            u.in_credible_region(test_points, level=0.5, method='hpd-mvee'),
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 160..163
src/qinfer/tests/test_region_estimates.py on lines 172..175
src/qinfer/tests/test_region_estimates.py on lines 183..186
src/qinfer/tests/test_region_estimates.py on lines 312..315
src/qinfer/tests/test_region_estimates.py on lines 324..327

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 48.

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 6 locations. Consider refactoring.
Open

        results = [
            u.in_credible_region(test_points, level=0.9, method='pce'),
            u.in_credible_region(test_points, level=0.84, method='pce'),
            u.in_credible_region(test_points, level=0.5, method='pce'),
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 160..163
src/qinfer/tests/test_region_estimates.py on lines 172..175
src/qinfer/tests/test_region_estimates.py on lines 183..186
src/qinfer/tests/test_region_estimates.py on lines 324..327
src/qinfer/tests/test_region_estimates.py on lines 335..338

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 48.

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 6 locations. Consider refactoring.
Open

        results1 = [
            u.in_credible_region(test_points, level=0.9, method='hpd-hull'),
            u.in_credible_region(test_points, level=0.84, method='hpd-hull'),
            u.in_credible_region(test_points, level=0.5, method='hpd-hull'),
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 160..163
src/qinfer/tests/test_region_estimates.py on lines 183..186
src/qinfer/tests/test_region_estimates.py on lines 312..315
src/qinfer/tests/test_region_estimates.py on lines 324..327
src/qinfer/tests/test_region_estimates.py on lines 335..338

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 48.

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 6 locations. Consider refactoring.
Open

        results2 = [
            u.in_credible_region(test_points, level=0.9, method='hpd-mvee'),
            u.in_credible_region(test_points, level=0.84, method='hpd-mvee'),
            u.in_credible_region(test_points, level=0.5, method='hpd-mvee'),
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 160..163
src/qinfer/tests/test_region_estimates.py on lines 172..175
src/qinfer/tests/test_region_estimates.py on lines 312..315
src/qinfer/tests/test_region_estimates.py on lines 324..327
src/qinfer/tests/test_region_estimates.py on lines 335..338

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 48.

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

        assert_almost_equal(
            np.array([np.mean(x.astype('float')) for x in results]),
            np.array([0.9, 0.84, 0.5]),
            3
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 165..168

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 45.

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

        assert_almost_equal(
            np.array([np.mean(x.astype('float')) for x in results]),
            np.array([0.9, 0.84, 0.5]),
            3
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 317..320

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 45.

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 4 locations. Consider refactoring.
Open

        assert_array_less(
            np.array([0.9, 0.84, 0.5]),
            np.array([np.mean(x.astype('float')) for x in results2])
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 177..179
src/qinfer/tests/test_region_estimates.py on lines 329..331
src/qinfer/tests/test_region_estimates.py on lines 340..342

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 44.

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 4 locations. Consider refactoring.
Open

        assert_array_less(
            np.array([0.9, 0.84, 0.5]),
            np.array([np.mean(x.astype('float')) for x in results2])
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 177..179
src/qinfer/tests/test_region_estimates.py on lines 188..190
src/qinfer/tests/test_region_estimates.py on lines 329..331

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 44.

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 4 locations. Consider refactoring.
Open

        assert_array_less(
            np.array([0.9, 0.84, 0.5]),
            np.array([np.mean(x.astype('float')) for x in results1])
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 177..179
src/qinfer/tests/test_region_estimates.py on lines 188..190
src/qinfer/tests/test_region_estimates.py on lines 340..342

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 44.

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 4 locations. Consider refactoring.
Open

        assert_array_less(
            np.array([0.9, 0.84, 0.5]),
            np.array([np.mean(x.astype('float')) for x in results1])
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 188..190
src/qinfer/tests/test_region_estimates.py on lines 329..331
src/qinfer/tests/test_region_estimates.py on lines 340..342

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 44.

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 4 locations. Consider refactoring.
Open

        assert_almost_equal(
            np.sort(unique_rows(np.concatenate([points1, points2])), axis=0),
            np.sort(points1, axis=0)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 83..85
src/qinfer/tests/test_region_estimates.py on lines 91..93
src/qinfer/tests/test_region_estimates.py on lines 240..242

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

Identical blocks of code found in 4 locations. Consider refactoring.
Open

        assert_almost_equal(
            np.sort(unique_rows(np.concatenate([points1, points2])), axis=0),
            np.sort(points1, axis=0)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 83..85
src/qinfer/tests/test_region_estimates.py on lines 232..234
src/qinfer/tests/test_region_estimates.py on lines 240..242

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

Identical blocks of code found in 4 locations. Consider refactoring.
Open

        assert_almost_equal(
            np.sort(unique_rows(np.concatenate([points1, points2])), axis=0),
            np.sort(points1, axis=0)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 91..93
src/qinfer/tests/test_region_estimates.py on lines 232..234
src/qinfer/tests/test_region_estimates.py on lines 240..242

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

Identical blocks of code found in 4 locations. Consider refactoring.
Open

        assert_almost_equal(
            np.sort(unique_rows(np.concatenate([points1, points2])), axis=0),
            np.sort(points1, axis=0)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 83..85
src/qinfer/tests/test_region_estimates.py on lines 91..93
src/qinfer/tests/test_region_estimates.py on lines 232..234

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

Identical blocks of code found in 4 locations. Consider refactoring.
Open

        u = ParticleDistribution(
            particle_locations = dist.sample(self.N_PARTICLES),
            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 224..226
src/qinfer/tests/test_region_estimates.py on lines 250..252
src/qinfer/tests/test_region_estimates.py on lines 275..277

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 38.

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 4 locations. Consider refactoring.
Open

        u = ParticleDistribution(
            particle_locations = dist.sample(self.N_PARTICLES),
            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 250..252
src/qinfer/tests/test_region_estimates.py on lines 275..277
src/qinfer/tests/test_region_estimates.py on lines 303..305

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 38.

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 4 locations. Consider refactoring.
Open

        u = ParticleDistribution(
            particle_locations = dist.sample(self.N_PARTICLES),
            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 224..226
src/qinfer/tests/test_region_estimates.py on lines 275..277
src/qinfer/tests/test_region_estimates.py on lines 303..305

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 38.

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 4 locations. Consider refactoring.
Open

        u = ParticleDistribution(
            particle_locations = dist.sample(self.N_PARTICLES),
            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 3 other locations - About 1 hr to fix
src/qinfer/tests/test_region_estimates.py on lines 224..226
src/qinfer/tests/test_region_estimates.py on lines 250..252
src/qinfer/tests/test_region_estimates.py on lines 303..305

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 38.

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

        assert_almost_equal(
            QA / np.linalg.norm(QA),
            QC / np.linalg.norm(QC),
            1
Severity: Minor
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 55 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 140..143

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 37.

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

        assert_almost_equal(
            QA / np.linalg.norm(QA),
            QC / np.linalg.norm(QC),
            1
Severity: Minor
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 55 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 291..294

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 37.

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

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])
Severity: Minor
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 50 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 216..216

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

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])
Severity: Minor
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 50 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 68..68

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 6 locations. Consider refactoring.
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-hull', modelparam_slice=self.SLICE)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 40 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 202..202
src/qinfer/tests/test_region_estimates.py on lines 203..203
src/qinfer/tests/test_region_estimates.py on lines 204..204
src/qinfer/tests/test_region_estimates.py on lines 354..354
src/qinfer/tests/test_region_estimates.py on lines 356..356

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

Similar blocks of code found in 6 locations. Consider refactoring.
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='pce', modelparam_slice=self.SLICE)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 40 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 203..203
src/qinfer/tests/test_region_estimates.py on lines 204..204
src/qinfer/tests/test_region_estimates.py on lines 354..354
src/qinfer/tests/test_region_estimates.py on lines 355..355
src/qinfer/tests/test_region_estimates.py on lines 356..356

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

Similar blocks of code found in 6 locations. Consider refactoring.
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='pce', modelparam_slice=self.SLICE)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 40 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 202..202
src/qinfer/tests/test_region_estimates.py on lines 203..203
src/qinfer/tests/test_region_estimates.py on lines 204..204
src/qinfer/tests/test_region_estimates.py on lines 355..355
src/qinfer/tests/test_region_estimates.py on lines 356..356

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

Similar blocks of code found in 6 locations. Consider refactoring.
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-mvee', modelparam_slice=self.SLICE)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 40 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 202..202
src/qinfer/tests/test_region_estimates.py on lines 203..203
src/qinfer/tests/test_region_estimates.py on lines 354..354
src/qinfer/tests/test_region_estimates.py on lines 355..355
src/qinfer/tests/test_region_estimates.py on lines 356..356

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

Similar blocks of code found in 6 locations. Consider refactoring.
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-mvee', modelparam_slice=self.SLICE)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 40 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 202..202
src/qinfer/tests/test_region_estimates.py on lines 203..203
src/qinfer/tests/test_region_estimates.py on lines 204..204
src/qinfer/tests/test_region_estimates.py on lines 354..354
src/qinfer/tests/test_region_estimates.py on lines 355..355

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

Similar blocks of code found in 6 locations. Consider refactoring.
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-hull', modelparam_slice=self.SLICE)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 40 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 202..202
src/qinfer/tests/test_region_estimates.py on lines 204..204
src/qinfer/tests/test_region_estimates.py on lines 354..354
src/qinfer/tests/test_region_estimates.py on lines 355..355
src/qinfer/tests/test_region_estimates.py on lines 356..356

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

Similar blocks of code found in 6 locations. Consider refactoring.
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-hull').size == 1)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 35 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 207..207
src/qinfer/tests/test_region_estimates.py on lines 209..209
src/qinfer/tests/test_region_estimates.py on lines 359..359
src/qinfer/tests/test_region_estimates.py on lines 360..360
src/qinfer/tests/test_region_estimates.py on lines 361..361

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 33.

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 6 locations. Consider refactoring.
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='pce').size == 1)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 35 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 207..207
src/qinfer/tests/test_region_estimates.py on lines 208..208
src/qinfer/tests/test_region_estimates.py on lines 209..209
src/qinfer/tests/test_region_estimates.py on lines 360..360
src/qinfer/tests/test_region_estimates.py on lines 361..361

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 33.

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 6 locations. Consider refactoring.
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-mvee').size == 1)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 35 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 207..207
src/qinfer/tests/test_region_estimates.py on lines 208..208
src/qinfer/tests/test_region_estimates.py on lines 209..209
src/qinfer/tests/test_region_estimates.py on lines 359..359
src/qinfer/tests/test_region_estimates.py on lines 360..360

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 33.

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 6 locations. Consider refactoring.
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-hull').size == 1)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 35 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 207..207
src/qinfer/tests/test_region_estimates.py on lines 208..208
src/qinfer/tests/test_region_estimates.py on lines 209..209
src/qinfer/tests/test_region_estimates.py on lines 359..359
src/qinfer/tests/test_region_estimates.py on lines 361..361

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 33.

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 6 locations. Consider refactoring.
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-mvee').size == 1)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 35 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 207..207
src/qinfer/tests/test_region_estimates.py on lines 208..208
src/qinfer/tests/test_region_estimates.py on lines 359..359
src/qinfer/tests/test_region_estimates.py on lines 360..360
src/qinfer/tests/test_region_estimates.py on lines 361..361

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 33.

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 6 locations. Consider refactoring.
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='pce').size == 1)
Severity: Major
Found in src/qinfer/tests/test_region_estimates.py and 5 other locations - About 35 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 208..208
src/qinfer/tests/test_region_estimates.py on lines 209..209
src/qinfer/tests/test_region_estimates.py on lines 359..359
src/qinfer/tests/test_region_estimates.py on lines 360..360
src/qinfer/tests/test_region_estimates.py on lines 361..361

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 33.

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

        assert_almost_equal(
            np.round(np.mean(vertices, axis=0)),
            np.round(self.MEAN)
Severity: Minor
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 30 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 259..261

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

        assert_almost_equal(
            np.round(np.mean(vertices, axis=0)),
            np.round(self.MEAN)
Severity: Minor
Found in src/qinfer/tests/test_region_estimates.py and 1 other location - About 30 mins to fix
src/qinfer/tests/test_region_estimates.py on lines 109..111

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

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (82 > 79 characters)
Open

        # the model is irrelevant; we just want the updater to have some particles

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Line too long (90 > 79 characters)
Open

        test_points = np.random.multivariate_normal(self.MEAN, self.COV, self.N_PARTICLES)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Line too long (112 > 79 characters)
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='pce', modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-hull', modelparam_slice=self.SLICE)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (117 > 79 characters)
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-mvee', modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Line too long (82 > 79 characters)
Open

    return a[ind[np.concatenate(([True],np.any(a[ind[1:]]!=a[ind[:-1]],axis=1)))]]

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    return a[ind[np.concatenate(([True],np.any(a[ind[1:]]!=a[ind[:-1]],axis=1)))]]

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace around operator
Open

    return a[ind[np.concatenate(([True],np.any(a[ind[1:]]!=a[ind[:-1]],axis=1)))]]

Surround operators with a single space on either side.

- Always surround these binary operators with a single space on
  either side: assignment (=), augmented assignment (+=, -= etc.),
  comparisons (==, <, >, !=, <=, >=, in, not in, is, is not),
  Booleans (and, or, not).

- If operators with different priorities are used, consider adding
  whitespace around the operators with the lowest priorities.

Okay: i = i + 1
Okay: submitted += 1
Okay: x = x * 2 - 1
Okay: hypot2 = x * x + y * y
Okay: c = (a + b) * (a - b)
Okay: foo(bar, key='word', *args, **kwargs)
Okay: alpha[:-i]

E225: i=i+1
E225: submitted +=1
E225: x = x /2 - 1
E225: z = x **y
E225: z = 1and 1
E226: c = (a+b) * (a-b)
E226: hypot2 = x*x + y*y
E227: c = a|b
E228: msg = fmt%(errno, errmsg)

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (112 > 79 characters)
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='pce', modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-hull', modelparam_slice=self.SLICE)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-mvee').size == 1)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    MEAN = np.array([2,3,5,7])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Missing whitespace after ','
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-hull').size == 1)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (89 > 79 characters)
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='pce').size == 1)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    MEAN = np.array([2,3,5,7])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

At least two spaces before inline comment
Open

from __future__ import division # Ensures that a/b is always a float.

Separate inline comments by at least two spaces.

An inline comment is a comment on the same line as a statement.
Inline comments should be separated by at least two spaces from the
statement. They should start with a # and a single space.

Each line of a block comment starts with a # and a single space
(unless it is indented text inside the comment).

Okay: x = x + 1  # Increment x
Okay: x = x + 1    # Increment x
Okay: # Block comment
E261: x = x + 1 # Increment x
E262: x = x + 1  #Increment x
E262: x = x + 1  #  Increment x
E265: #Block comment
E266: ### Block comment

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (82 > 79 characters)
Open

        # the model is irrelevant; we just want the updater to have some particles

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Line too long (82 > 79 characters)
Open

        # the model is irrelevant; we just want the updater to have some particles

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (80 > 79 characters)
Open

        points1 = u.est_credible_region(level=0.95, modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Expected 2 blank lines, found 1
Open

class TestSMCCredibleRegions(DerandomizedTestCase):

Separate top-level function and class definitions with two blank lines.

Method definitions inside a class are separated by a single blank
line.

Extra blank lines may be used (sparingly) to separate groups of
related functions.  Blank lines may be omitted between a bunch of
related one-liners (e.g. a set of dummy implementations).

Use blank lines in functions, sparingly, to indicate logical
sections.

Okay: def a():\n    pass\n\n\ndef b():\n    pass
Okay: def a():\n    pass\n\n\nasync def b():\n    pass
Okay: def a():\n    pass\n\n\n# Foo\n# Bar\n\ndef b():\n    pass
Okay: default = 1\nfoo = 1
Okay: classify = 1\nfoo = 1

E301: class Foo:\n    b = 0\n    def bar():\n        pass
E302: def a():\n    pass\n\ndef b(n):\n    pass
E302: def a():\n    pass\n\nasync def b(n):\n    pass
E303: def a():\n    pass\n\n\n\ndef b(n):\n    pass
E303: def a():\n\n\n\n    pass
E304: @decorator\n\ndef a():\n    pass
E305: def a():\n    pass\na()
E306: def a():\n    def b():\n        pass\n    def c():\n        pass

Missing whitespace after ','
Open

    MEAN = np.array([2,3,5,7])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Expected 2 blank lines, found 1
Open

class TestCredibleRegions(DerandomizedTestCase):

Separate top-level function and class definitions with two blank lines.

Method definitions inside a class are separated by a single blank
line.

Extra blank lines may be used (sparingly) to separate groups of
related functions.  Blank lines may be omitted between a bunch of
related one-liners (e.g. a set of dummy implementations).

Use blank lines in functions, sparingly, to indicate logical
sections.

Okay: def a():\n    pass\n\n\ndef b():\n    pass
Okay: def a():\n    pass\n\n\nasync def b():\n    pass
Okay: def a():\n    pass\n\n\n# Foo\n# Bar\n\ndef b():\n    pass
Okay: default = 1\nfoo = 1
Okay: classify = 1\nfoo = 1

E301: class Foo:\n    b = 0\n    def bar():\n        pass
E302: def a():\n    pass\n\ndef b(n):\n    pass
E302: def a():\n    pass\n\nasync def b(n):\n    pass
E303: def a():\n    pass\n\n\n\ndef b(n):\n    pass
E303: def a():\n\n\n\n    pass
E304: @decorator\n\ndef a():\n    pass
E305: def a():\n    pass\na()
E306: def a():\n    def b():\n        pass\n    def c():\n        pass

Missing whitespace after ','
Open

    return a[ind[np.concatenate(([True],np.any(a[ind[1:]]!=a[ind[:-1]],axis=1)))]]

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='pce', modelparam_slice=self.SLICE)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-hull').size == 1)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (90 > 79 characters)
Open

        test_points = np.random.multivariate_normal(self.MEAN, self.COV, self.N_PARTICLES)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-mvee', modelparam_slice=self.SLICE)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Missing whitespace after ','
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='pce', modelparam_slice=self.SLICE)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    MEAN = np.array([2,3,5,7])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (80 > 79 characters)
Open

        points1 = u.est_credible_region(level=0.95, modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Line too long (117 > 79 characters)
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-hull', modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Missing whitespace after ','
Open

    MEAN = np.array([2,3,5,7])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (82 > 79 characters)
Open

        # the model is irrelevant; we just want the updater to have some particles

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='pce').size == 1)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Line too long (94 > 79 characters)
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-hull').size == 1)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Line too long (94 > 79 characters)
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-mvee').size == 1)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (94 > 79 characters)
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-hull').size == 1)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Line too long (85 > 79 characters)
Open

from qinfer.distributions import MultivariateNormalDistribution, ParticleDistribution

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Line too long (94 > 79 characters)
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-mvee').size == 1)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (117 > 79 characters)
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-mvee', modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_weights = np.ones(self.N_PARTICLES)/self.N_PARTICLES

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Missing whitespace after ','
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='pce').size == 1)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Expected 2 blank lines, found 1
Open

def unique_rows(a):

Separate top-level function and class definitions with two blank lines.

Method definitions inside a class are separated by a single blank
line.

Extra blank lines may be used (sparingly) to separate groups of
related functions.  Blank lines may be omitted between a bunch of
related one-liners (e.g. a set of dummy implementations).

Use blank lines in functions, sparingly, to indicate logical
sections.

Okay: def a():\n    pass\n\n\ndef b():\n    pass
Okay: def a():\n    pass\n\n\nasync def b():\n    pass
Okay: def a():\n    pass\n\n\n# Foo\n# Bar\n\ndef b():\n    pass
Okay: default = 1\nfoo = 1
Okay: classify = 1\nfoo = 1

E301: class Foo:\n    b = 0\n    def bar():\n        pass
E302: def a():\n    pass\n\ndef b(n):\n    pass
E302: def a():\n    pass\n\nasync def b(n):\n    pass
E303: def a():\n    pass\n\n\n\ndef b(n):\n    pass
E303: def a():\n\n\n\n    pass
E304: @decorator\n\ndef a():\n    pass
E305: def a():\n    pass\na()
E306: def a():\n    def b():\n        pass\n    def c():\n        pass

Missing whitespace after ','
Open

    MEAN = np.array([2,3,5,7])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

    COV = np.array([[1,0,0,0.5],[0,1,0.2,0],[0,0.2,2,0],[0.5,0,0,1]])

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Unexpected spaces around keyword / parameter equals
Open

            particle_locations = dist.sample(self.N_PARTICLES),

Don't use spaces around the '=' sign in function arguments.

Don't use spaces around the '=' sign when used to indicate a
keyword argument or a default parameter value, except when
using a type annotation.

Okay: def complex(real, imag=0.0):
Okay: return magic(r=real, i=imag)
Okay: boolean(a == b)
Okay: boolean(a != b)
Okay: boolean(a <= b)
Okay: boolean(a >= b)
Okay: def foo(arg: int = 42):
Okay: async def foo(arg: int = 42):

E251: def complex(real, imag = 0.0):
E251: return magic(r = real, i = imag)
E252: def complex(real, image: float=0.0):

Line too long (117 > 79 characters)
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-hull', modelparam_slice=self.SLICE)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

Missing whitespace after ','
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='hpd-mvee').size == 1)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Missing whitespace after ','
Open

        u.in_credible_region(test_points[:100,self.SLICE], level=0.9, method='hpd-mvee', modelparam_slice=self.SLICE)

Each comma, semicolon or colon should be followed by whitespace.

Okay: [a, b]
Okay: (3,)
Okay: a[1:4]
Okay: a[:4]
Okay: a[1:]
Okay: a[1:4:2]
E231: ['a','b']
E231: foo(bar,baz)
E231: [{'a':'b'}]

Line too long (89 > 79 characters)
Open

        assert(u.in_credible_region(test_points[0,:], level=0.9, method='pce').size == 1)

Limit all lines to a maximum of 79 characters.

There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side.  The default wrapping on such
devices looks ugly.  Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.

Reports error E501.

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