tensorflow/models

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official/projects/volumetric_models/tasks/semantic_segmentation_3d.py

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Maintainability
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4 hrs
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File semantic_segmentation_3d.py has 253 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/volumetric_models/tasks/semantic_segmentation_3d.py - About 2 hrs to fix

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

      def initialize(self, model: tf_keras.Model):
        """Loads pretrained checkpoint."""
        if not self.task_config.init_checkpoint:
          return
    
    
    Severity: Minor
    Found in official/projects/volumetric_models/tasks/semantic_segmentation_3d.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 reduce_aggregated_logs has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
    Open

      def reduce_aggregated_logs(
          self,
          aggregated_logs: Optional[Mapping[str, Any]] = None,
          global_step: Optional[tf.Tensor] = None) -> Mapping[str, float]:
        """Reduces logs to obtain per-class metrics if needed.
    Severity: Minor
    Found in official/projects/volumetric_models/tasks/semantic_segmentation_3d.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 aggregate_logs has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
    Open

      def aggregate_logs(
          self,
          state: Optional[Sequence[Union[segmentation_metrics.DiceScore,
                                         tf_keras.metrics.Metric]]] = None,
          step_outputs: Optional[Mapping[str, Any]] = None
    Severity: Minor
    Found in official/projects/volumetric_models/tasks/semantic_segmentation_3d.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

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