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official/projects/teams/teams_pretrainer.py

Summary

Maintainability
D
1 day
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File teams_pretrainer.py has 371 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2024 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
Severity: Minor
Found in official/projects/teams/teams_pretrainer.py - About 4 hrs to fix

    Function __init__ has 9 arguments (exceeds 4 allowed). Consider refactoring.
    Open

      def __init__(self,
    Severity: Major
    Found in official/projects/teams/teams_pretrainer.py - About 1 hr to fix

      Function sample_k_from_softmax has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
      Open

      def sample_k_from_softmax(logits, k, disallow=None, use_topk=False):
  """Implement softmax sampling using gumbel softmax trick to select k items.

  Args:
    logits: A [batch_size, num_token_predictions, vocab_size] tensor indicating
      Severity: Minor
      Found in official/projects/teams/teams_pretrainer.py - About 45 mins to fix

      Cognitive Complexity

      Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

      A method's cognitive complexity is based on a few simple rules:

      • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
      • Code is considered more complex for each "break in the linear flow of the code"
      • Code is considered more complex when "flow breaking structures are nested"

      Further reading

      Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
      Open

        def __init__(self,
      Severity: Minor
      Found in official/projects/teams/teams_pretrainer.py - About 45 mins to fix

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

          def __init__(self,
        Severity: Minor
        Found in official/projects/teams/teams_pretrainer.py - About 35 mins to fix

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

              gumbel_noise = -tf.math.log(-tf.math.log(uniform_noise + 1e-9) + 1e-9)
          Severity: Major
          Found in official/projects/teams/teams_pretrainer.py and 2 other locations - About 1 hr to fix
          official/nlp/modeling/models/electra_pretrainer.py on lines 309..309
          official/projects/teams/teams_pretrainer.py on lines 445..445

          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 3 locations. Consider refactoring.
          Open

              gumbel_noise = -tf.math.log(-tf.math.log(uniform_noise + 1e-9) + 1e-9)
          Severity: Major
          Found in official/projects/teams/teams_pretrainer.py and 2 other locations - About 1 hr to fix
          official/nlp/modeling/models/electra_pretrainer.py on lines 309..309
          official/projects/teams/teams_pretrainer.py on lines 455..455

          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

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

              rtd_labels = masked * (1 - tf.cast(
        tf.equal(updated_input_ids, inputs['input_word_ids']), tf.int32))
          Severity: Major
          Found in official/projects/teams/teams_pretrainer.py and 1 other location - About 1 hr to fix
          official/nlp/modeling/models/electra_pretrainer.py on lines 201..202

          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 39.

          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

              mws_sequence_outputs = self.discriminator_mws_network([
        disc_input['input_word_ids'], disc_input['input_mask'],
        disc_input['input_type_ids']
          Severity: Major
          Found in official/projects/teams/teams_pretrainer.py and 1 other location - About 1 hr to fix
          official/nlp/modeling/models/electra_pretrainer.py on lines 154..156

          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 39.

          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

              candidate_embeddings = tf.reshape(
        candidate_embeddings,
        tf.concat([tf.shape(candidate_sets), [self.embed_size]], axis=0)
          Severity: Minor
          Found in official/projects/teams/teams_pretrainer.py and 1 other location - About 45 mins to fix
          official/nlp/modeling/layers/on_device_embedding.py on lines 108..110

          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 35.

          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

              flat_offsets = tf.reshape(
        tf.range(0, batch_size, dtype=tf.int32) * seq_length, [-1, 1])
          Severity: Minor
          Found in official/projects/teams/teams_pretrainer.py and 1 other location - About 40 mins to fix
          official/nlp/modeling/layers/masked_lm.py on lines 122..123

          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

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