tensorflow/models

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research/adversarial_text/layers.py

Summary

Maintainability
C
1 day
Test Coverage

File layers.py has 293 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2017 Google Inc. 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 research/adversarial_text/layers.py - About 3 hrs to fix

    Function optimize has 8 arguments (exceeds 4 allowed). Consider refactoring.
    Open

    def optimize(loss,
    Severity: Major
    Found in research/adversarial_text/layers.py - About 1 hr to fix

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

      def _summarize_vars_and_grads(grads_and_vars):
        tf.logging.info('Trainable variables:')
        tf.logging.info('-' * 60)
        for grad, var in grads_and_vars:
          tf.logging.info(var)
      Severity: Minor
      Found in research/adversarial_text/layers.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 __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
      Open

        def __init__(self,
      Severity: Minor
      Found in research/adversarial_text/layers.py - About 45 mins to fix

        Function cl_logits_subgraph has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
        Open

        def cl_logits_subgraph(layer_sizes, input_size, num_classes, keep_prob=1.):
          """Construct multiple ReLU layers with dropout and a linear layer."""
          subgraph = K.models.Sequential(name='cl_logits')
          for i, layer_size in enumerate(layer_sizes):
            if i == 0:
        Severity: Minor
        Found in research/adversarial_text/layers.py - About 35 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

        Similar blocks of code found in 3 locations. Consider refactoring.
        Open

          def __init__(self, cell_size, num_layers=1, keep_prob=1., name='LSTM'):
            self.cell_size = cell_size
            self.num_layers = num_layers
            self.keep_prob = keep_prob
            self.reuse = None
        Severity: Major
        Found in research/adversarial_text/layers.py and 2 other locations - About 1 hr to fix
        official/legacy/xlnet/squad_utils.py on lines 252..264
        research/vid2depth/reader.py on lines 37..44

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 43.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        Similar blocks of code found in 2 locations. Consider refactoring.
        Open

            return tf.identity(
                tf.reduce_sum(weights * eq) / _num_labels(weights), name='accuracy')
        Severity: Minor
        Found in research/adversarial_text/layers.py and 1 other location - About 35 mins to fix
        research/adversarial_text/layers.py on lines 201..202

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 33.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        Similar blocks of code found in 2 locations. Consider refactoring.
        Open

            lm_loss = tf.identity(
                tf.reduce_sum(lm_loss * weights) / _num_labels(weights),
        Severity: Minor
        Found in research/adversarial_text/layers.py and 1 other location - About 35 mins to fix
        research/adversarial_text/layers.py on lines 249..250

        Duplicated Code

        Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

        Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

        When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

        Tuning

        This issue has a mass of 33.

        We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

        The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

        If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

        See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

        Refactorings

        Further Reading

        There are no issues that match your filters.

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