tensorflow/models

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official/projects/maskconver/modeling/layers/panoptic_segmentation_generator.py

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4 hrs
Test Coverage

File panoptic_segmentation_generator.py has 253 lines of code (exceeds 250 allowed). Consider refactoring.
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# 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

    Function __init__ has 10 arguments (exceeds 4 allowed). Consider refactoring.
    Open

      def __init__(self,

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

        def get_top_k_peaks(self,

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

          def __call__(self,
                       inputs: Dict[str, tf.Tensor],
                       images_info: Optional[tf.Tensor] = None) -> Dict[str, tf.Tensor]:
            batched_scores = tf.cast(inputs['confidence'], dtype=tf.float32)
            batched_classes = tf.cast(inputs['classes'], dtype=tf.int32)

        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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