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tensorflow/python/ops/structured/structured_array_ops_test.py

Summary

Maintainability
F
1 mo
Test Coverage

File structured_array_ops_test.py has 1120 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2021 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 tensorflow/python/ops/structured/structured_array_ops_test.py - About 2 days to fix

    StructuredArrayOpsTest has 37 functions (exceeds 20 allowed). Consider refactoring.
    Open

    class StructuredArrayOpsTest(test_util.TensorFlowTestCase,
                             parameterized.TestCase):

  def assertAllEqual(self, a, b, msg=None):
    if not (isinstance(a, structured_tensor.StructuredTensor) or
    Severity: Minor
    Found in tensorflow/python/ops/structured/structured_array_ops_test.py - About 4 hrs to fix

      Function testGatherError has 6 arguments (exceeds 4 allowed). Consider refactoring.
      Open

        def testGatherError(self, params, indices, axis, batch_dims, error_type,
      Severity: Minor
      Found in tensorflow/python/ops/structured/structured_array_ops_test.py - About 45 mins to fix

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

          def assertAllEqual(self, a, b, msg=None):
    if not (isinstance(a, structured_tensor.StructuredTensor) or
            isinstance(b, structured_tensor.StructuredTensor)):
      return super(StructuredArrayOpsTest, self).assertAllEqual(a, b, msg)
        Severity: Minor
        Found in tensorflow/python/ops/structured/structured_array_ops_test.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 testGather has 5 arguments (exceeds 4 allowed). Consider refactoring.
        Open

          def testGather(self, params, indices, axis, batch_dims, expected):
        Severity: Minor
        Found in tensorflow/python/ops/structured/structured_array_ops_test.py - About 35 mins to fix

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

            def testGatherRagged(self, params, indices, axis, batch_dims, expected):
          Severity: Minor
          Found in tensorflow/python/ops/structured/structured_array_ops_test.py - About 35 mins to fix

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

              @parameterized.named_parameters([
      dict(
          testcase_name="scalar_int32",
          row_partitions=None,
          shape=(),
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 days to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 478..584

            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 633.

            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

              @parameterized.named_parameters([
      dict(
          testcase_name="scalar_int32",
          row_partitions=None,
          shape=(),
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 days to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 328..434

            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 633.

            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

              @parameterized.named_parameters([
      dict(
          testcase_name="list_empty_2_1",
          values=[[{}, {}], [{}]],
          dtype=dtypes.int32,
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 2 days to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 586..626

            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 290.

            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

              @parameterized.named_parameters([
      dict(
          testcase_name="list_empty_2_1",
          values=[[{}, {}], [{}]],
          dtype=dtypes.int32,
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 2 days to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 436..476

            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 290.

            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

                  dict(
          testcase_name="lists_of_lists_axis_minus_1",
          params=[[{"a": {}, "b": [3, 4]}, {"a": {}, "b": [5]}],
                  [{"a": {}, "b": [7, 8, 9]}, {"a": {}, "b": [2, 8, 2]}],
                  [{"a": {}, "b": []}, {"a": {}, "b": [4]}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 1 day to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1053..1063

            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 153.

            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

                  dict(
          testcase_name="lists_of_lists_axis_1",
          params=[[{"a": {}, "b": [3, 4]}, {"a": {}, "b": [5]}],
                  [{"a": {}, "b": [7, 8, 9]}, {"a": {}, "b": [2, 8, 2]}],
                  [{"a": {}, "b": []}, {"a": {}, "b": [4]}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 1 day to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1075..1085

            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 153.

            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

                  dict(
          testcase_name="lists_of_lists",
          params=[[{"a": {}, "b": [3, 4]}, {"a": {}, "b": [5]}],
                  [{"a": {}, "b": [7, 8, 9]}],
                  [{"a": {}, "b": []}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 1 day to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1064..1074

            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 122.

            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

                  dict(
          testcase_name="lists_of_lists_axis_minus_2",
          params=[[{"a": {}, "b": [3, 4]}, {"a": {}, "b": [5]}],
                  [{"a": {}, "b": [7, 8, 9]}],
                  [{"a": {}, "b": []}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 1 day to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1042..1052

            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 122.

            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

                  dict(
          testcase_name="lists_of_lists_axis_minus_2",
          values=[[[{"a": {}, "b": [3, 4]}, {"a": {}, "b": [5]}],
                   [{"a": {}, "b": [7, 8, 9]}]],
                  [[{"a": {}, "b": [10]}]]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 7 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 743..751

            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 112.

            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

                  dict(
          testcase_name="lists_of_lists",
          values=[[[{"a": {}, "b": [3, 4]}, {"a": {}, "b": [5]}],
                   [{"a": {}, "b": [7, 8, 9]}]],
                  [[{"a": {}, "b": [10]}]]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 7 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 761..769

            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 112.

            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

                original = StructuredTensor.from_pyval([
        {"x0": 0, "y": {"z": [[3, 13]]}},
        {"x0": 1, "y": {"z": [[3], [4, 13]]}},
        {"x0": 2, "y": {"z": [[3, 5], [4]]}},
        {"x0": 3, "y": {"z": [[3, 7, 1], [4]]}},
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 907..912

            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 104.

            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

                original = StructuredTensor.from_pyval([
        {"x0": 0, "y": {"z": [[3, 13]]}},
        {"x0": 1, "y": {"z": [[3], [4, 13]]}},
        {"x0": 2, "y": {"z": [[3, 5], [4]]}},
        {"x0": 3, "y": {"z": [[3, 7, 1], [4]]}},
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 890..895

            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 104.

            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

                  dict(
          testcase_name="3D_2",
          st=[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]],
          axis=2,
          expected=[[[[{"x": [1]}, {"x": [2]}]], [[{"x": [3]}]]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 150..155

            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 102.

            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

                  dict(
          testcase_name="3D_minus_2",
          st=[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]],
          axis=-2,  # same as 2
          expected=[[[[{"x": [1]}, {"x": [2]}]], [[{"x": [3]}]]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 144..149

            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 102.

            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

                  dict(
          testcase_name="params_2D_vector_index_axis_1_batch_dims_1",
          params=[[{"x0": 0, "y": {"z": [[3, 13]]}},
                   {"x0": 1, "y": {"z": [[3], [4, 13]]}}],
                  [{"x0": 2, "y": {"z": [[3, 5], [4]]}},
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1138..1144

            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 100.

            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

                  dict(
          testcase_name="params_2D_index_2D_axis_1_batch_dims_1",
          params=[[{"x0": 0, "y": {"z": [[3, 13]]}},
                   {"x0": 1, "y": {"z": [[3], [4, 13]]}}],
                  [{"x0": 2, "y": {"z": [[3, 5], [4]]}},
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1112..1118

            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 100.

            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

                  dict(
          testcase_name="3D_1",
          st=[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]],
          axis=1,
          expected=[[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 138..143

            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 100.

            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

                  dict(
          testcase_name="3D_minus_3",
          st=[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]],
          axis=-3,  # same as 1
          expected=[[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 132..137

            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 100.

            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

                  dict(
          testcase_name="3D_minus_4",
          st=[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]],
          axis=-4,  # same as zero
          expected=[[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 120..125

            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 98.

            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

                  dict(
          testcase_name="3D_0",
          st=[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]],
          axis=0,
          expected=[[[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 6 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 126..131

            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 98.

            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 3 locations. Consider refactoring.
            Open

                  dict(
          testcase_name="from_structured_tensor_util_test",
          values=[[{"x0": 0, "y": {"z": [[3, 13]]}},
                   {"x0": 1, "y": {"z": [[3], [4, 13]]}},
                   {"x0": 2, "y": {"z": [[3, 5], [4]]}}],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 2 other locations - About 5 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1086..1092
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1101..1107

            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 96.

            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 3 locations. Consider refactoring.
            Open

                  dict(
          testcase_name="scalar_index_axis_0",
          params=[{"x0": 0, "y": {"z": [[3, 13]]}},
                  {"x0": 1, "y": {"z": [[3], [4, 13]]}},
                  {"x0": 2, "y": {"z": [[3, 5], [4]]}},
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 2 other locations - About 5 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 770..782
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1086..1092

            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 96.

            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 3 locations. Consider refactoring.
            Open

                  dict(
          testcase_name="from_structured_tensor_util_test",
          params=[{"x0": 0, "y": {"z": [[3, 13]]}},
                  {"x0": 1, "y": {"z": [[3], [4, 13]]}},
                  {"x0": 2, "y": {"z": [[3, 5], [4]]}},
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 2 other locations - About 5 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 770..782
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1101..1107

            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 96.

            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 testExpandDimsAxisTooSmall(self):
    st = [[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]]
    st = StructuredTensor.from_pyval(st)
    with self.assertRaisesRegex(ValueError,
                                "axis=-5 out of bounds: expected -4<=axis<4"):
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 4 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 168..173

            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 83.

            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 testExpandDimsAxisTooBig(self):
    st = [[[{"x": [1]}, {"x": [2]}], [{"x": [3]}]], [[{"x": [4, 5]}]]]
    st = StructuredTensor.from_pyval(st)
    with self.assertRaisesRegex(ValueError,
                                "axis=4 out of bounds: expected -4<=axis<4"):
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 4 hrs to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 175..180

            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 83.

            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

                if not (isinstance(a, structured_tensor.StructuredTensor) or
            isinstance(b, structured_tensor.StructuredTensor)):
      return super(StructuredArrayOpsTest, self).assertAllEqual(a, b, msg)
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 1 hr to fix
            tensorflow/python/ops/structured/structured_tensor_spec_test.py on lines 61..63

            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

                  dict(testcase_name="concat_axis_large",
           values=[[{"a": [3]}], [{"a": [4]}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 1 hr to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 837..838

            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 38.

            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

                  dict(testcase_name="concat_axis_large_neg",
           values=[[{"a": [3]}], [{"a": [4]}]],
            Severity: Major
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 1 hr to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 831..832

            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 38.

            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

                  dict(
          testcase_name="list_with_fields",
          params=[{"a": 4, "b": [3, 4]}, {"a": 5, "b": [5, 6]},
                  {"a": 7, "b": [9, 10]}],
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 40 mins to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1013..1021

            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 34.

            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 self.assertRaisesRegex(error_type, error_regex):
      structured_array_ops.gather(
          params,
          indices,
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 40 mins to fix
            tensorflow/python/ops/ragged/ragged_one_hot_op_test.py on lines 128..131

            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 34.

            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

                  dict(testcase_name="axis_large",
           params=[{"a": [3]}],
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 35 mins to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1193..1194

            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

                  dict(testcase_name="axis_large_neg",
           params=[{"a": [3]}],
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 35 mins to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1185..1186

            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

                a_tensors = [
        x for x in nest.flatten(a, expand_composites=True)
        if isinstance(x, tensor.Tensor)
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 30 mins to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 62..64

            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 32.

            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

                  dict(
          testcase_name="list_with_submessages",
          values=[[{"a": {"foo": 3}, "b": [3, 4]}],
                  [{"a": {"foo": 4}, "b": [5, 6]}]],
          axis=0,
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 30 mins to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 1022..1031

            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 32.

            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

                b_tensors = [
        x for x in nest.flatten(b, expand_composites=True)
        if isinstance(x, tensor.Tensor)
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 30 mins to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 58..60

            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 32.

            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

                  dict(
          testcase_name="list_with_submessages",
          params=[{"a": {"foo": 3}, "b": [3, 4]},
                  {"a": {"foo": 4}, "b": [5, 6]},
                  {"a": {"foo": 7}, "b": [9, 10]}],
            Severity: Minor
            Found in tensorflow/python/ops/structured/structured_array_ops_test.py and 1 other location - About 30 mins to fix
            tensorflow/python/ops/structured/structured_array_ops_test.py on lines 729..735

            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 32.

            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

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