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tensorflow/models

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official/projects/lra/transformer_encoder.py

Summary

Maintainability
B
4 hrs
Test Coverage

Function __init__ has 16 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def __init__(
Severity: Major
Found in official/projects/lra/transformer_encoder.py - About 2 hrs to fix

    Function call has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.
    Open

      def call(self, inputs):
    word_embeddings = None

    if isinstance(inputs, dict):
      if 'input_word_ids' in inputs.keys():
    Severity: Minor
    Found in official/projects/lra/transformer_encoder.py - About 1 hr 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 _get_embeddings has 5 arguments (exceeds 4 allowed). Consider refactoring.
    Open

      def _get_embeddings(
    Severity: Minor
    Found in official/projects/lra/transformer_encoder.py - About 35 mins to fix

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