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official/nlp/modeling/networks/funnel_transformer_test.py

Summary

Maintainability
C
1 day
Test Coverage

File funnel_transformer_test.py has 340 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/nlp/modeling/networks/funnel_transformer_test.py - About 4 hrs to fix

    Function test_network_invocation has 37 lines of code (exceeds 25 allowed). Consider refactoring.
    Open

      def test_network_invocation(
      self,
      output_range,
      out_seq_len,
      unpool_length,
    Severity: Minor
    Found in official/nlp/modeling/networks/funnel_transformer_test.py - About 1 hr to fix

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

          test_network = funnel_transformer.FunnelTransformerEncoder(
      Severity: Minor
      Found in official/nlp/modeling/networks/funnel_transformer_test.py and 1 other location - About 55 mins to fix
      official/nlp/modeling/networks/funnel_transformer_test.py on lines 168..168

      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 37.

      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

          test_network = funnel_transformer.FunnelTransformerEncoder(
      Severity: Minor
      Found in official/nlp/modeling/networks/funnel_transformer_test.py and 1 other location - About 55 mins to fix
      official/nlp/modeling/networks/funnel_transformer_test.py on lines 62..62

      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 37.

      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 7 locations. Consider refactoring.
      Open

          expected_config["initializer"] = tf_keras.initializers.serialize(
        tf_keras.initializers.get(expected_config["initializer"]))
      Severity: Major
      Found in official/nlp/modeling/networks/funnel_transformer_test.py and 6 other locations - About 35 mins to fix
      official/nlp/modeling/networks/albert_encoder_test.py on lines 161..162
      official/nlp/modeling/networks/albert_encoder_test.py on lines 163..164
      official/nlp/modeling/networks/funnel_transformer_test.py on lines 400..401
      official/nlp/modeling/networks/packed_sequence_embedding_test.py on lines 118..119
      official/projects/roformer/roformer_encoder_test.py on lines 208..209
      official/projects/roformer/roformer_encoder_test.py on lines 210..211

      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 7 locations. Consider refactoring.
      Open

          expected_config["inner_activation"] = tf_keras.activations.serialize(
        tf_keras.activations.get(expected_config["inner_activation"]))
      Severity: Major
      Found in official/nlp/modeling/networks/funnel_transformer_test.py and 6 other locations - About 35 mins to fix
      official/nlp/modeling/networks/albert_encoder_test.py on lines 161..162
      official/nlp/modeling/networks/albert_encoder_test.py on lines 163..164
      official/nlp/modeling/networks/funnel_transformer_test.py on lines 402..403
      official/nlp/modeling/networks/packed_sequence_embedding_test.py on lines 118..119
      official/projects/roformer/roformer_encoder_test.py on lines 208..209
      official/projects/roformer/roformer_encoder_test.py on lines 210..211

      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

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