tensorflow/models

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official/projects/unified_detector/data_loaders/input_reader.py

Summary

Maintainability
B
5 hrs
Test Coverage

Function __init__ has 17 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def __init__(self,
Severity: Major
Found in official/projects/unified_detector/data_loaders/input_reader.py - About 2 hrs to fix

    Function _build_dataset_from_records has a Cognitive Complexity of 15 (exceeds 5 allowed). Consider refactoring.
    Open

      def _build_dataset_from_records(self) -> tf.data.Dataset:
        """Build a tf.data.Dataset object from input SSTables.
    
        If the input data come from multiple SSTables, use the user defined sampling
        weights to perform sampling. For example, if the sampling weights is
    Severity: Minor
    Found in official/projects/unified_detector/data_loaders/input_reader.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 __init__ has a Cognitive Complexity of 10 (exceeds 5 allowed). Consider refactoring.
    Open

      def __init__(self,
                   is_training: bool,
                   batch_size: Optional[int] = None,
                   data_root: str = '',
                   input_paths: List[str] = gin.REQUIRED,
    Severity: Minor
    Found in official/projects/unified_detector/data_loaders/input_reader.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 __call__ has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
    Open

      def __call__(
          self,
          params: cfg.DataConfig,
          input_context: Optional[tf.distribute.InputContext] = None
      ) -> tf.data.Dataset:
    Severity: Minor
    Found in official/projects/unified_detector/data_loaders/input_reader.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"

    Further reading

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