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tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py

Summary

Maintainability
F
3 wks
Test Coverage

File parse_single_example_op_test.py has 857 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2015 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/kernel_tests/io_ops/parse_single_example_op_test.py - About 2 days to fix

    Function _test has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
    Open

      def _test(self, kwargs, expected_values=None, expected_err=None):
    with self.cached_session() as sess:
      if expected_err:
        with self.assertRaisesWithPredicateMatch(expected_err[0],
                                                 expected_err[1]):
    Severity: Minor
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py - About 55 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 _test has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
    Open

      def _test(self, kwargs, expected_values=None, expected_err=None):
    with self.cached_session() as sess:
      if expected_err:
        with self.assertRaisesWithPredicateMatch(expected_err[0],
                                                 expected_err[1]):
    Severity: Minor
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py - About 25 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

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

        original = [
        example(features=features({
            "val": float_feature([3, 4]),
            "idx0": int64_feature([5, 10]),
            "idx1": int64_feature([0, 2]),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 day to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 338..356
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 380..402

    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 137.

    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

        for proto, expected_output in zip(original, expected_outputs):
      self._test({
          "serialized": ops.convert_to_tensor(proto.SerializeToString()),
          "features": {
              aname:
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 7 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 756..773

    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 119.

    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

        for proto, expected_output in zip(original, expected_outputs):
      self._test({
          "serialized": ops.convert_to_tensor(proto.SerializeToString()),
          "features": {
              aname:
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 7 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 778..795

    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 119.

    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 4 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            cname: int64_feature([2]),
        })),
        example(features=features({
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 3 other locations - About 7 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 699..713
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 753..770
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 772..789

    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 117.

    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 3 locations. Consider refactoring.
    Open

        original = [
        (example(features=features({
            aname: float_feature([10, 10]),
        })), example(features=features({
            aname: float_feature([1, 1]),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 7 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 427..440
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 478..494

    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 113.

    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 3 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            "val": float_feature([3, 4]),
            "idx": int64_feature([5, 10])
        })),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 7 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 259..275
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 285..305

    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

                            {
                            "idx": (np.array([[0], [1]], dtype=np.int64),
                                    np.array([7, 1], dtype=np.int64),
                                    np.array([2], dtype=np.int64)),
                            "sp": (np.array([[1], [7]], dtype=np.int64),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 6 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 670..676

    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 109.

    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

        expected_outputs = [{
        "idx": (np.array([[0], [1]], dtype=np.int64),
                np.array([0, 3], dtype=np.int64), np.array([2],
                                                           dtype=np.int64)),
        "sp": (np.array([[0], [3]], dtype=np.int64),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 6 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 678..684

    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 109.

    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

            if isinstance(f, parsing_ops.FixedLenFeature) and f.shape is not None:
          self.assertEqual(tuple(out[k].get_shape().as_list()), f.shape)
        elif isinstance(f, parsing_ops.VarLenFeature):
          self.assertEqual(
              tuple(out[k].indices.get_shape().as_list()), (None, 1))
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 6 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 904..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 108.

    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

            if isinstance(f, parsing_ops.FixedLenFeature) and f.shape is not None:
          self.assertEqual(tuple(out[k].get_shape()),
                           tensor_shape.as_shape(f.shape))
        elif isinstance(f, parsing_ops.VarLenFeature):
          self.assertEqual(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 6 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 112..119

    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 108.

    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

        expected_outputs = [
        {
            aname:
                np.array([1, 1], dtype=np.float32).reshape(1, 2, 1),
            bname:
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 6 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 424..437

    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 108.

    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

        expected_outputs = [
        {
            aname:
                np.array([1, 1], dtype=np.float32).reshape(1, 2, 1),
            bname:
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 6 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 479..492

    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 108.

    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 4 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            "st_c": float_feature([3, 4])
        })),
        example(features=features({
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 3 other locations - About 5 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 217..229
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 242..255
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 964..977

    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 95.

    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

                "features": {
                "st_a":
                    parsing_ops.VarLenFeature(dtypes.float32),
                "sp":
                    parsing_ops.SparseFeature(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 5 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1234..1252

    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 92.

    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 3 locations. Consider refactoring.
    Open

        input_features = {
        "st_a":
            parsing_ops.VarLenFeature(dtypes.int64),
        "a":
            parsing_ops.FixedLenFeature(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 5 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 154..168
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 158..172

    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 88.

    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 3 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            "c": float_feature([3, 4]),
            "val": bytes_feature([b"a", b"b"]),
            "idx": int64_feature([0, 3])
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 4 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 545..553
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 602..613

    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 84.

    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 3 locations. Consider refactoring.
    Open

                  "features": {
                  "st_a":
                      parsing_ops.VarLenFeature(dtypes.int64),
                  "sp":
                      parsing_ops.SparseFeature("idx", "val", dtypes.string, 13
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 4 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 572..585
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 634..647

    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 75.

    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 3 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            "val1": float_feature([3, 4]),
            "val2": float_feature([5, 6]),
            "idx": int64_feature([5, 10])
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 3 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 296..304
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 331..341

    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 71.

    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

            {
            aname: np.empty(shape=(0, 2, 1), dtype=np.int64),
            bname: np.empty(shape=(0, 1, 1, 1), dtype=bytes),
            cname: np.array([2], dtype=np.int64),
            dname: np.empty(shape=(0,), dtype=bytes)
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 3 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 747..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 71.

    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

            {
            aname: np.empty(shape=(0, 2, 1), dtype=np.int64),
            bname: np.empty(shape=(0, 1, 1, 1), dtype=bytes),
            cname: np.array([3], dtype=np.int64),
            dname: np.empty(shape=(0,), dtype=bytes)
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 3 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 725..729

    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 71.

    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 3 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            "val": bytes_feature([b"a", b"b"]),
            "idx": int64_feature([0, 3])
        })), example(features=features({
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 3 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 602..608
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 663..672

    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 68.

    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 3 locations. Consider refactoring.
    Open

            "features": {
            sparse_name:
                parsing_ops.VarLenFeature(dtypes.int64),
            a_name:
                parsing_ops.FixedLenFeature(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 3 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 136..147
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 142..153

    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 66.

    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 3 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            aname: float_feature([1, 1]),
            bname: bytes_feature([b"b0_str"]),
        })), example(features=features({
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 3 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 386..392
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 434..443

    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 66.

    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 3 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            "a": float_feature([1, 1]),
        })),
        example(features=features({
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 3 hrs to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 497..505
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 552..559

    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 66.

    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 = example(features=features({
        "c": float_feature([3, 4]),
        "d": float_feature([0.0, 1.0]),
        "val": bytes_feature([b"a", b"b"]),
        "idx": int64_feature([0, 3]),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 3 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1221..1227

    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 62.

    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 4 locations. Consider refactoring.
    Open

        expected_st_a = (
        np.array(
            [[0], [1]], dtype=np.int64),  # indices
        np.array(
            [3.0, 4.0], dtype=np.float32),  # values
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 3 other locations - About 2 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1256..1259
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1382..1385
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1586..1589

    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 57.

    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

            "sp": (np.array([[0], [3], [9]], dtype=np.int64),
               np.array([1.0, -1.0, 2.0], dtype=np.float32),
               np.array([13], dtype=np.int64))
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 2 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 261..263

    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 56.

    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

            "st_c": (np.array([[0], [1], [2]], dtype=np.int64),
                 np.array([1.0, 2.0, -1.0], dtype=np.float32),
                 np.array([3], dtype=np.int64)),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 2 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 307..309

    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 56.

    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 3 locations. Consider refactoring.
    Open

        expected_sp = (  # indices, values, shape
        np.array(
            [[0], [3]], dtype=np.int64), np.array(
                ["a", "b"], dtype="|S"), np.array(
                    [13], dtype=np.int64))  # max_values = 13
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 2 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1261..1263
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1387..1389

    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 55.

    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

          if expected_err:
        with self.assertRaisesWithPredicateMatch(expected_err[0],
                                                 expected_err[1]):
          out = parsing_ops.parse_single_example(**kwargs)
          sess.run(flatten_values_tensors_or_sparse(out.values()))
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 2 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 90..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 53.

    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

          if expected_err:
        with self.assertRaisesWithPredicateMatch(expected_err[0],
                                                 expected_err[1]):
          out = parsing_ops.parse_single_example(**kwargs)
          sess.run(flatten_values_tensors_or_sparse(out.values()))
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 2 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 889..894

    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 53.

    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

        expected_output = {
        "st_a": expected_st_a,
        "sp": expected_sp,
        "a": [a_default],
        "b": b_default,
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 2 hrs to fix
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 1265..1271

    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 51.

    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 3 locations. Consider refactoring.
    Open

              "features": {
              "a":
                  parsing_ops.FixedLenFeature(
                      (1, 2, 1),
                      dtype=dtypes.float32,
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 hr to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 523..529
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 580..587

    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 49.

    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

            {
            "a":
                np.array([3, -3], dtype=np.float32).reshape(1, 2, 1),
            "b":
                np.array("tmp_str", dtype=bytes).reshape(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 hr to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 550..555
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 557..562

    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 49.

    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

            {
            "a":
                np.array([3, -3], dtype=np.float32).reshape(1, 2, 1),
            "b":
                np.array("b1", dtype=bytes).reshape(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 hr to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 550..555
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 564..569

    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 49.

    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

            {
            "a":
                np.array([1, 1], dtype=np.float32).reshape(1, 2, 1),
            "b":
                np.array("tmp_str", dtype=bytes).reshape(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 hr to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 557..562
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 564..569

    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 49.

    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

            "sp": (np.array([[7]], dtype=np.int64), np.array(["c"], dtype=bytes),
               np.array([13], dtype=np.int64)),
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 1 hr to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 264..265

    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 46.

    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

            "st_d": (np.array([[0]], dtype=np.int64), np.array(["hi"], dtype=bytes),
                 np.array([1], dtype=np.int64))
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 1 other location - About 1 hr to fix
    tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py on lines 625..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 46.

    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 3 locations. Consider refactoring.
    Open

                "features": {
                aname:
                    parsing_ops.FixedLenSequenceFeature(
                        (2, 1), dtype=dtypes.float32, allow_missing=True),
                bname:
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 hr to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 847..853
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 878..884

    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 44.

    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 3 locations. Consider refactoring.
    Open

                "features": {
                aname:
                    parsing_ops.FixedLenFeature(
                        (None, 2, 1), dtype=dtypes.float32),
                bname:
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 hr to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 860..865
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 913..919

    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 42.

    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 3 locations. Consider refactoring.
    Open

        original = [
        example(features=features({
            "a": float_feature([1]),
        })), example(features=features({}))
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 1 hr to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 472..475
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 527..531

    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

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

              "features": {
              "sp1":
                  parsing_ops.SparseFeature("idx", "val1", dtypes.float32, 13),
              "sp2":
                  parsing_ops.SparseFeature(
    Severity: Major
    Found in tensorflow/python/kernel_tests/io_ops/parse_single_example_op_test.py and 2 other locations - About 45 mins to fix
    tensorflow/python/data/experimental/kernel_tests/parse_example_dataset_test.py on lines 326..331
    tensorflow/python/kernel_tests/io_ops/parsing_ops_test.py on lines 365..373

    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 35.

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

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

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

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

    Refactorings

    Further Reading

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