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

class AnyReductionTest(test.TestCase):

  def _compare(self, x, reduction_axes, keepdims, use_gpu=False):
    np_ans = x
    if reduction_axes is None:
Severity: Major
Found in tensorflow/python/kernel_tests/math_ops/reduction_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/math_ops/reduction_ops_test.py on lines 1068..1114

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 469.

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

class AllReductionTest(test.TestCase):

  def _compare(self, x, reduction_axes, keepdims, use_gpu=False):
    np_ans = x
    if reduction_axes is None:
Severity: Major
Found in tensorflow/python/kernel_tests/math_ops/reduction_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/math_ops/reduction_ops_test.py on lines 1117..1163

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 469.

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 testMultiDequeueManyWithPartiallyKnownShapesAndVariableSizeInput(self):
    with self.cached_session() as sess:
      q = data_flow_ops.PaddingFIFOQueue(
          10, (dtypes_lib.string, dtypes_lib.int32),
          shapes=((None,), (1, None)))
Severity: Major
Found in tensorflow/python/kernel_tests/data_structures/padding_fifo_queue_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/data_structures/padding_fifo_queue_test.py on lines 494..533

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 464.

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 testMultiDequeueUpToPartiallyKnownShapesAndVariableInputNoBlocking(self):
    with self.cached_session() as sess:
      q = data_flow_ops.PaddingFIFOQueue(
          10, (dtypes_lib.string, dtypes_lib.int32),
          shapes=((None,), (1, None)))
Severity: Major
Found in tensorflow/python/kernel_tests/data_structures/padding_fifo_queue_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/data_structures/padding_fifo_queue_test.py on lines 453..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 464.

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

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

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

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

Refactorings

Further Reading

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

@test_util.run_all_in_graph_and_eager_modes
class FresnelSinTest(test.TestCase, parameterized.TestCase):

  @test_util.run_in_graph_and_eager_modes
  def test_fresnel_sin_boundary(self):
Severity: Major
Found in tensorflow/python/ops/special_math_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/ops/special_math_ops_test.py on lines 263..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 452.

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

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

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

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

Refactorings

Further Reading

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

@test_util.run_all_in_graph_and_eager_modes
class FresnelCosTest(test.TestCase, parameterized.TestCase):

  @test_util.run_in_graph_and_eager_modes
  def test_fresnel_cos_boundary(self):
Severity: Major
Found in tensorflow/python/ops/special_math_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/ops/special_math_ops_test.py on lines 308..350

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 452.

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

class MatrixExponentialBenchmark(test.Benchmark):

  shapes = [
      (4, 4),
      (10, 10),
Severity: Major
Found in tensorflow/python/kernel_tests/linalg/matrix_exponential_op_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/linalg/determinant_op_test.py on lines 209..259

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 438.

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

class MatrixDeterminantBenchmark(test.Benchmark):

  shapes = [
      (4, 4),
      (10, 10),
Severity: Major
Found in tensorflow/python/kernel_tests/linalg/determinant_op_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/linalg/matrix_exponential_op_test.py on lines 166..216

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 438.

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 testPrepareSessionFails(self):
    checkpoint_dir = os.path.join(self.get_temp_dir(), "prepare_session")
    checkpoint_dir2 = os.path.join(self.get_temp_dir(), "prepare_session2")
    try:
      gfile.DeleteRecursively(checkpoint_dir)
Severity: Major
Found in tensorflow/python/training/session_manager_test.py and 1 other location - About 4 days to fix
tensorflow/python/training/session_manager_test.py on lines 86..145

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 435.

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 testPrepareSessionFails(self):
    checkpoint_dir = os.path.join(self.get_temp_dir(), "prepare_session")
    checkpoint_dir2 = os.path.join(self.get_temp_dir(), "prepare_session2")
    try:
      gfile.DeleteRecursively(checkpoint_dir)
Severity: Major
Found in tensorflow/python/training/session_manager_test.py and 1 other location - About 4 days to fix
tensorflow/python/training/session_manager_test.py on lines 713..772

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 435.

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

Severity: Major
Found in third_party/xla/third_party/tsl/third_party/gpus/check_cuda_libs.py and 1 other location - About 4 days to fix
third_party/gpus/check_cuda_libs.py on lines 0..88

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 429.

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

Severity: Major
Found in third_party/gpus/check_cuda_libs.py and 1 other location - About 4 days to fix
third_party/xla/third_party/tsl/third_party/gpus/check_cuda_libs.py on lines 0..88

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 429.

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

  @combinations.generate(test_base.graph_only_combinations())
  def testIteratorStringHandleFuture(self):
    dataset_3 = dataset_ops.Dataset.from_tensor_slices([1, 2, 3])
    dataset_4 = dataset_ops.Dataset.from_tensor_slices([10, 20, 30, 40])
Severity: Major
Found in tensorflow/python/data/kernel_tests/iterator_test.py and 1 other location - About 4 days to fix
tensorflow/python/data/kernel_tests/iterator_test.py on lines 433..489

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 422.

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

  @combinations.generate(test_base.graph_only_combinations())
  def testIteratorStringHandle(self):
    dataset_3 = dataset_ops.Dataset.from_tensor_slices([1, 2, 3])
    dataset_4 = dataset_ops.Dataset.from_tensor_slices([10, 20, 30, 40])
Severity: Major
Found in tensorflow/python/data/kernel_tests/iterator_test.py and 1 other location - About 4 days to fix
tensorflow/python/data/kernel_tests/iterator_test.py on lines 491..554

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 422.

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 _RunAndVerifyBackpropInputDilation(self, input_sizes, filter_sizes,
                                         output_sizes, strides, dilations,
                                         padding, data_format, use_gpu, err):
    x1 = self._CreateNumpyTensor(input_sizes)
    x2 = self._CreateNumpyTensor(filter_sizes)
Severity: Major
Found in tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py on lines 1861..1903

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 416.

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 _RunAndVerifyBackpropFilterDilation(self, input_sizes, filter_sizes,
                                          output_sizes, strides, dilations,
                                          padding, data_format, use_gpu, err):
    x1 = self._CreateNumpyTensor(input_sizes)
    x2 = self._CreateNumpyTensor(filter_sizes)
Severity: Major
Found in tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py on lines 1815..1858

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 416.

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

class FalseNegativesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4283..4333
tensorflow/python/kernel_tests/metrics_test.py on lines 4390..4440
tensorflow/python/kernel_tests/metrics_test.py on lines 4495..4545

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 413.

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

class TruePositivesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4178..4228
tensorflow/python/kernel_tests/metrics_test.py on lines 4283..4333
tensorflow/python/kernel_tests/metrics_test.py on lines 4390..4440

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 413.

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

class TrueNegativesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4178..4228
tensorflow/python/kernel_tests/metrics_test.py on lines 4283..4333
tensorflow/python/kernel_tests/metrics_test.py on lines 4495..4545

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 413.

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

class FalsePositivesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4178..4228
tensorflow/python/kernel_tests/metrics_test.py on lines 4390..4440
tensorflow/python/kernel_tests/metrics_test.py on lines 4495..4545

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 413.

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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