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tensorflow/models

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official/legacy/bert/bert_models.py

Summary

Maintainability
C
7 hrs
Test Coverage

File bert_models.py has 308 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/legacy/bert/bert_models.py - About 3 hrs to fix

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

      def _add_metrics(self, lm_output, lm_labels, lm_label_weights,
    Severity: Major
    Found in official/legacy/bert/bert_models.py - About 50 mins to fix

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

      def classifier_model(bert_config,
      Severity: Minor
      Found in official/legacy/bert/bert_models.py - About 45 mins to fix

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

        def pretrain_model(bert_config,
        Severity: Minor
        Found in official/legacy/bert/bert_models.py - About 45 mins to fix

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

          def squad_model(bert_config,
          Severity: Minor
          Found in official/legacy/bert/bert_models.py - About 35 mins to fix

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

              def call(self,
            Severity: Minor
            Found in official/legacy/bert/bert_models.py - About 35 mins to fix

              Function pretrain_model has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
              Open

              def pretrain_model(bert_config,
                   seq_length,
                   max_predictions_per_seq,
                   initializer=None,
                   use_next_sentence_label=True,
              Severity: Minor
              Found in official/legacy/bert/bert_models.py - About 25 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"

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