tensorflow/models

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official/nlp/modeling/networks/span_labeling.py

Summary

Maintainability
C
1 day
Test Coverage

Function __init__ has 7 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def __init__(self,
Severity: Major
Found in official/nlp/modeling/networks/span_labeling.py - About 50 mins to fix

    Function call has 5 arguments (exceeds 4 allowed). Consider refactoring.
    Open

      def call(self,
    Severity: Minor
    Found in official/nlp/modeling/networks/span_labeling.py - About 35 mins to fix

      Function __init__ has 5 arguments (exceeds 4 allowed). Consider refactoring.
      Open

        def __init__(self,
      Severity: Minor
      Found in official/nlp/modeling/networks/span_labeling.py - About 35 mins to fix

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

        def _apply_paragraph_mask(logits, paragraph_mask):
          """Applies a position mask to calculated logits."""
          masked_logits = logits * (paragraph_mask) - 1e30 * (1 - paragraph_mask)
          return tf.nn.log_softmax(masked_logits, -1), masked_logits
        Severity: Major
        Found in official/nlp/modeling/networks/span_labeling.py and 1 other location - About 2 hrs to fix
        official/projects/qat/nlp/modeling/networks/span_labeling.py on lines 24..27

        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

            if output == 'logits':
              output_tensors = [start_logits, end_logits]
            elif output == 'predictions':
              output_tensors = [start_predictions, end_predictions]
            else:
        Severity: Major
        Found in official/nlp/modeling/networks/span_labeling.py and 1 other location - About 2 hrs to fix
        official/projects/qat/nlp/modeling/networks/span_labeling.py on lines 72..78

        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 51.

        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

          def _split_output_tensor(self, tensor):
            transposed_tensor = tf.transpose(tensor, [2, 0, 1])
            return tf.unstack(transposed_tensor)
        Severity: Minor
        Found in official/nlp/modeling/networks/span_labeling.py and 1 other location - About 30 mins to fix
        official/projects/qat/nlp/modeling/networks/span_labeling.py on lines 106..108

        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

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

            self.answer_logits_inner = tf_keras.layers.Dense(
                units=input_width,
                kernel_initializer=tf_utils.clone_initializer(initializer),
        Severity: Minor
        Found in official/nlp/modeling/networks/span_labeling.py and 1 other location - About 30 mins to fix
        official/nlp/modeling/networks/span_labeling.py on lines 164..166

        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

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

            self.end_logits_inner_dense = tf_keras.layers.Dense(
                units=input_width,
                kernel_initializer=tf_utils.clone_initializer(initializer),
        Severity: Minor
        Found in official/nlp/modeling/networks/span_labeling.py and 1 other location - About 30 mins to fix
        official/nlp/modeling/networks/span_labeling.py on lines 177..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 32.

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

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

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

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

        Refactorings

        Further Reading

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