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

class FeatureWriter(object):
  """Writes InputFeature to TF example file."""

  def __init__(self, filename, is_training):
    self.filename = filename
Severity: Major
Found in official/nlp/data/squad_lib.py and 1 other location - About 3 days to fix
official/nlp/data/squad_lib_sp.py on lines 891..932

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 400.

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

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

class FeatureWriter(object):
  """Writes InputFeature to TF example file."""

  def __init__(self, filename, is_training):
    self.filename = filename
Severity: Major
Found in official/nlp/data/squad_lib_sp.py and 1 other location - About 3 days to fix
official/nlp/data/squad_lib.py on lines 116..158

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 400.

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

File deepmac_meta_arch_test.py has 1450 lines of code (exceeds 250 allowed). Consider refactoring.
Open

"""Tests for google3.third_party.tensorflow_models.object_detection.meta_architectures.deepmac_meta_arch."""

import functools
import math
import random
Severity: Major
Found in research/object_detection/meta_architectures/deepmac_meta_arch_test.py - About 3 days to fix

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

      def test_top_k_feature_map_locations(self):
    feature_map_np = np.zeros((2, 3, 3, 2), dtype=np.float32)
    feature_map_np[0, 2, 0, 1] = 1.0
    feature_map_np[0, 2, 1, 1] = 0.9  # Get's filtered due to max pool.
    feature_map_np[0, 0, 1, 0] = 0.7
    Severity: Major
    Found in research/object_detection/meta_architectures/center_net_meta_arch_tf2_test.py and 1 other location - About 3 days to fix
    research/object_detection/meta_architectures/center_net_meta_arch_tf2_test.py on lines 442..470

    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 395.

    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

      def test_top_k_feature_map_locations_no_pooling(self):
    feature_map_np = np.zeros((2, 3, 3, 2), dtype=np.float32)
    feature_map_np[0, 2, 0, 1] = 1.0
    feature_map_np[0, 2, 1, 1] = 0.9
    feature_map_np[0, 0, 1, 0] = 0.7
    Severity: Major
    Found in research/object_detection/meta_architectures/center_net_meta_arch_tf2_test.py and 1 other location - About 3 days to fix
    research/object_detection/meta_architectures/center_net_meta_arch_tf2_test.py on lines 412..440

    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 395.

    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

      def testRandomSelfConcatImageVertically(self):

    def graph_fn():
      images = self.createTestImages()
      boxes = self.createTestBoxes()
    Severity: Major
    Found in research/object_detection/core/preprocessor_test.py and 1 other location - About 3 days to fix
    research/object_detection/core/preprocessor_test.py on lines 3897..3945

    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 392.

    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

      def testRandomSelfConcatImageHorizontally(self):
    def graph_fn():
      images = self.createTestImages()
      boxes = self.createTestBoxes()
      labels = self.createTestLabels()
    Severity: Major
    Found in research/object_detection/core/preprocessor_test.py and 1 other location - About 3 days to fix
    research/object_detection/core/preprocessor_test.py on lines 3846..3895

    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 392.

    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

          with slim.arg_scope(self._conv_hyperparams_fn()):
        with tf.variable_scope('fpn', reuse=self._reuse_weights):
          feature_blocks = [
              'layer_4', 'layer_7', 'layer_14', 'layer_19'
          ]
    Severity: Major
    Found in research/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py and 1 other location - About 3 days to fix
    research/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py on lines 159..200

    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 389.

    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

          with slim.arg_scope(self._conv_hyperparams_fn()):
        with tf.variable_scope('fpn', reuse=self._reuse_weights):
          feature_blocks = [
              'Conv2d_3_pointwise', 'Conv2d_5_pointwise', 'Conv2d_11_pointwise',
              'Conv2d_13_pointwise'
    Severity: Major
    Found in research/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py and 1 other location - About 3 days to fix
    research/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py on lines 157..197

    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 389.

    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

      def test_mask_one_tp_one_fp(self):
    # GT: one box with mask, one without
    # Det: one mask matches gt1, one is fp (box does not match)
    groundtruth_boxes = np.array([[0, 0, 2, 3], [2, 2, 4, 4]], dtype=float)
    groundtruth_mask_0 = np.array([[0, 1, 1, 0], [0, 0, 1, 0], [0, 0, 0, 0]],
    Severity: Major
    Found in research/object_detection/utils/per_image_evaluation_test.py and 1 other location - About 3 days to fix
    research/object_detection/utils/per_image_evaluation_test.py on lines 595..629

    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 388.

    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

      def test_two_mask_one_gt_one_fp(self):
    # GT: one box with mask, one without.
    # Det: two mask matches same gt, one is tp, one is passed down to box match
    # and is fp.
    groundtruth_boxes = np.array([[0, 0, 2, 3], [2, 3, 4, 6]], dtype=float)
    Severity: Major
    Found in research/object_detection/utils/per_image_evaluation_test.py and 1 other location - About 3 days to fix
    research/object_detection/utils/per_image_evaluation_test.py on lines 524..557

    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 388.

    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

    File detection_generator.py has 1420 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/vision/modeling/layers/detection_generator.py - About 3 days to fix

      File losses_test.py has 1393 lines of code (exceeds 250 allowed). Consider refactoring.
      Open

      # Copyright 2017 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 research/object_detection/core/losses_test.py - About 3 days to fix

        File t5.py has 1392 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/nlp/modeling/models/t5.py - About 3 days to fix

          File movinet_layers.py has 1391 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/projects/movinet/modeling/movinet_layers.py - About 3 days to fix

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

                def graph_fn():
      proposal_boxes = tf.constant(
          [[[1, 1, 2, 3],
            [0, 0, 1, 1],
            [.5, .5, .6, .6],
            Severity: Major
            Found in research/object_detection/meta_architectures/faster_rcnn_meta_arch_test.py and 1 other location - About 3 days to fix
            research/object_detection/meta_architectures/faster_rcnn_meta_arch_test.py on lines 111..146

            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 373.

            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

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

                def graph_fn():
      proposal_boxes = tf.constant(
          [[[1, 1, 2, 3],
            [0, 0, 1, 1],
            [.5, .5, .6, .6],
            Severity: Major
            Found in research/object_detection/meta_architectures/faster_rcnn_meta_arch_test.py and 1 other location - About 3 days to fix
            research/object_detection/meta_architectures/faster_rcnn_meta_arch_test.py on lines 43..79

            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 373.

            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

            Severity: Major
            Found in official/projects/mae/tasks/linear_probe_test.py and 1 other location - About 3 days to fix
            official/projects/mae/tasks/image_classification_test.py on lines 0..95

            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 370.

            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

            Severity: Major
            Found in official/projects/mae/tasks/image_classification_test.py and 1 other location - About 3 days to fix
            official/projects/mae/tasks/linear_probe_test.py on lines 0..94

            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 370.

            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

            File mobilenet.py has 1350 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/vision/modeling/backbones/mobilenet.py - About 3 days to fix
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