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official/legacy/detection/executor/distributed_executor.py

Summary

Maintainability
F
3 days
Test Coverage

File distributed_executor.py has 639 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: Major
Found in official/legacy/detection/executor/distributed_executor.py - About 1 day to fix

    Function train has a Cognitive Complexity of 56 (exceeds 5 allowed). Consider refactoring.
    Open

      def train(
      self,
      train_input_fn: Callable[[params_dict.ParamsDict], tf.data.Dataset],
      eval_input_fn: Optional[Callable[[params_dict.ParamsDict],
                                       tf.data.Dataset]] = None,
    Severity: Minor
    Found in official/legacy/detection/executor/distributed_executor.py - About 1 day 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 train has 12 arguments (exceeds 4 allowed). Consider refactoring.
    Open

      def train(
    Severity: Major
    Found in official/legacy/detection/executor/distributed_executor.py - About 1 hr to fix

      Function train has 30 lines of code (exceeds 25 allowed). Consider refactoring.
      Open

        def train(
      self,
      train_input_fn: Callable[[params_dict.ParamsDict], tf.data.Dataset],
      eval_input_fn: Optional[Callable[[params_dict.ParamsDict],
                                       tf.data.Dataset]] = None,
      Severity: Minor
      Found in official/legacy/detection/executor/distributed_executor.py - About 1 hr to fix

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

          def evaluate_from_model_dir(
        Severity: Major
        Found in official/legacy/detection/executor/distributed_executor.py - About 50 mins to fix

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

            def build_executor(self,
          Severity: Minor
          Found in official/legacy/detection/executor/distributed_executor.py - About 35 mins to fix

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

              def __init__(self, strategy, params, model_fn, loss_fn, is_multi_host=False):
            Severity: Minor
            Found in official/legacy/detection/executor/distributed_executor.py - About 35 mins to fix

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

                def _create_train_step(self,
              Severity: Minor
              Found in official/legacy/detection/executor/distributed_executor.py - About 35 mins to fix

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

                  def _create_replicated_step(self,
                Severity: Minor
                Found in official/legacy/detection/executor/distributed_executor.py - About 35 mins to fix

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