tensorflow/models

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official/nlp/modeling/ops/beam_search_test.py

Summary

Maintainability
D
2 days
Test Coverage

Similar blocks of code found in 3 locations. Consider refactoring.
Open

    if noise_multiplier > 0:
      self.assertAllEqual([[[0, 1, 0, 1], [0, 0, 2, 2]]], predictions)
    else:
      self.assertAllEqual([[[0, 1, 0, 1], [0, 1, 1, 2]]], predictions)
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 2 hrs to fix
official/nlp/modeling/ops/beam_search_test.py on lines 148..151
official/nlp/modeling/ops/beam_search_test.py on lines 196..199

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 61.

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 3 locations. Consider refactoring.
Open

    if noise_multiplier > 0:
      self.assertAllEqual([[[0, 1, 0, 1], [0, 0, 2, 2]]], predictions)
    else:
      self.assertAllEqual([[[0, 1, 0, 1], [0, 1, 1, 2]]], predictions)
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 2 hrs to fix
official/nlp/modeling/ops/beam_search_test.py on lines 101..104
official/nlp/modeling/ops/beam_search_test.py on lines 196..199

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 61.

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 3 locations. Consider refactoring.
Open

    if noise_multiplier > 0:
      self.assertAllEqual([[[0, 0, 0, 1], [0, 0, 0, 2]]], predictions)
    else:
      self.assertAllEqual([[[0, 0, 0, 1], [0, 0, 1, 2]]], predictions)
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 2 hrs to fix
official/nlp/modeling/ops/beam_search_test.py on lines 101..104
official/nlp/modeling/ops/beam_search_test.py on lines 148..151

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 61.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Identical blocks of code found in 3 locations. Consider refactoring.
Open

    def _get_test_symbols_to_logits_fn():
      """Test function that returns logits for next token."""

      def symbols_to_logits_fn(_, i, cache):
        logits = tf.cast(probabilities[:, i, :], tf.float32)
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 1 hr to fix
official/nlp/modeling/ops/beam_search_test.py on lines 125..132
official/nlp/modeling/ops/beam_search_test.py on lines 172..179

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 3 locations. Consider refactoring.
Open

    def _get_test_symbols_to_logits_fn():
      """Test function that returns logits for next token."""

      def symbols_to_logits_fn(_, i, cache):
        logits = tf.cast(probabilities[:, i, :], tf.float32)
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 1 hr to fix
official/nlp/modeling/ops/beam_search_test.py on lines 79..85
official/nlp/modeling/ops/beam_search_test.py on lines 172..179

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 3 locations. Consider refactoring.
Open

    def _get_test_symbols_to_logits_fn():
      """Test function that returns logits for next token."""

      def symbols_to_logits_fn(_, i, cache):
        logits = tf.cast(probabilities[:, i, :], tf.float32)
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 1 hr to fix
official/nlp/modeling/ops/beam_search_test.py on lines 79..85
official/nlp/modeling/ops/beam_search_test.py on lines 125..132

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 3 locations. Consider refactoring.
Open

  @parameterized.named_parameters([
      ('padded_decode_true_with_name', True, 0.0, 'decoding'),
      ('padded_decode_false_with_name', False, 0.0, 'decoding'),
      ('padded_decode_true_without_name', True, 0.0, None),
      ('padded_decode_false_without_name', False, 0.0, None),
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 1 hr to fix
official/nlp/modeling/ops/beam_search_test.py on lines 62..67
official/nlp/modeling/ops/beam_search_test.py on lines 153..158

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 3 locations. Consider refactoring.
Open

  @parameterized.named_parameters([
      ('padded_decode_true_with_name', True, 0.0, 'decoding'),
      ('padded_decode_false_with_name', False, 0.0, 'decoding'),
      ('padded_decode_true_without_name', True, 0.0, None),
      ('padded_decode_false_without_name', False, 0.0, None),
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 1 hr to fix
official/nlp/modeling/ops/beam_search_test.py on lines 106..111
official/nlp/modeling/ops/beam_search_test.py on lines 153..158

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 3 locations. Consider refactoring.
Open

  @parameterized.named_parameters([
      ('padded_decode_true_with_name', True, 0.0, 'decoding'),
      ('padded_decode_false_with_name', False, 0.0, 'decoding'),
      ('padded_decode_true_without_name', True, 0.0, None),
      ('padded_decode_false_without_name', False, 0.0, None),
Severity: Major
Found in official/nlp/modeling/ops/beam_search_test.py and 2 other locations - About 1 hr to fix
official/nlp/modeling/ops/beam_search_test.py on lines 62..67
official/nlp/modeling/ops/beam_search_test.py on lines 106..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 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

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