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

  def test_old_linear_model_old_categorical(self):
    column = fc.weighted_categorical_column(
        categorical_column=fc_old._categorical_column_with_identity(
            key='ids', num_buckets=3),
        weight_feature_key='values')
Severity: Major
Found in tensorflow/python/feature_column/feature_column_v2_test.py and 1 other location - About 2 days to fix
tensorflow/python/feature_column/feature_column_v2_test.py on lines 6249..6280

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 290.

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

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

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

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

Refactorings

Further Reading

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

  def testSize(self):

    def run_test(arr, axis=None):
      onp_arr = np.array(arr)
      self.assertEqual(np_array_ops.size(arr, axis), np.size(onp_arr, axis))
Severity: Major
Found in tensorflow/python/ops/weak_tensor_np_array_ops_test.py and 1 other location - About 2 days to fix
tensorflow/python/ops/numpy_ops/np_array_ops_test.py on lines 865..889

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 289.

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 testSize(self):

    def run_test(arr, axis=None):
      onp_arr = np.array(arr)
      self.assertEqual(np_array_ops.size(arr, axis), np.size(onp_arr, axis))
Severity: Major
Found in tensorflow/python/ops/numpy_ops/np_array_ops_test.py and 1 other location - About 2 days to fix
tensorflow/python/ops/weak_tensor_np_array_ops_test.py on lines 956..983

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 289.

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

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

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

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

Refactorings

Further Reading

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

  def _compareGradientY(self, fn, c, x, y, numeric_gradient_type=None):
    with self.cached_session():
      inx = ops.convert_to_tensor(x)
      iny = ops.convert_to_tensor(y)
      out = fn(c, inx, iny)
Severity: Major
Found in tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py and 1 other location - About 2 days to fix
tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 371..393

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 287.

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 dtype in [dtypes.half, dtypes.float32, dtypes.float64]:
      # train.GradientDescentOptimizer is V1 only API.
      with ops.Graph().as_default(), self.cached_session():
        var0 = variables.Variable([1.0, 2.0], dtype=dtype)
        var1 = variables.Variable([3.0, 4.0], dtype=dtype)
Severity: Major
Found in tensorflow/python/training/gradient_descent_test.py and 1 other location - About 2 days to fix
tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 3218..3240

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 287.

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 dtype in self.dtypes_:
      # train.GradientDescentOptimizer is V1 only API.
      with ops.Graph().as_default(), self.cached_session():
        var0 = variables.Variable([1.0, 2.0], dtype=dtype)
        var1 = variables.Variable([3.0, 4.0], dtype=dtype)
Severity: Major
Found in tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py and 1 other location - About 2 days to fix
tensorflow/python/training/gradient_descent_test.py on lines 33..54

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 287.

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

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

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

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

Refactorings

Further Reading

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

  def _compareGradientY(self, fn, c, x, y, numeric_gradient_type=None):
    with self.cached_session():
      inx = ops.convert_to_tensor(x)
      iny = ops.convert_to_tensor(y)
      out = fn(c, inx, iny)
Severity: Major
Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py and 1 other location - About 2 days to fix
tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 5165..5189

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 287.

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 _compareGradientX(self, c, x, y, numeric_gradient_type=None):
    with self.cached_session():
      inx = ops.convert_to_tensor(x)
      iny = ops.convert_to_tensor(y)
      out = array_ops.where(c, inx, iny)
Severity: Major
Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py and 1 other location - About 2 days to fix
tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 668..690

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 287.

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 _compareGradientY(self, c, x, y, numeric_gradient_type=None):
    with self.cached_session():
      inx = ops.convert_to_tensor(x)
      iny = ops.convert_to_tensor(y)
      out = array_ops.where(c, inx, iny)
Severity: Major
Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py and 1 other location - About 2 days to fix
tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 644..666

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 287.

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 _CompareFwdValues(
      self, tensor_in_sizes, filter_in_sizes, conv_strides, padding
  ):
    """Verifies that CPU and GPU produce the same values.
Severity: Major
Found in tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py and 1 other location - About 2 days to fix
tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py on lines 302..336

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 286.

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 _CompareFwdValues(self, tensor_in_sizes, filter_in_sizes, conv_strides,
                        padding):
    """Verifies that CPU and GPU produce the same values.

    Args:
Severity: Major
Found in tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py and 1 other location - About 2 days to fix
tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 1289..1325

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 286.

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

          ]]]]], [[[[[0 + 0j, 0 + 0j], [0 + 0j, 0 + 0j]], [
              [5.5 + 5.5j, 0 + 0j], [0 + 0j, 0 + 0j]
          ]], [[[0 + 0j, 0 + 0j], [0 + 0j, 0 + 0j]], [[0 + 0j, 6.6 + 6.6j], [
              0 + 0j, 0 + 0j
          ]]]], [[[[0 + 0j, 0 + 0j], [0 + 0j, 0 + 0j]], [[0 + 0j, 0 + 0j], [
Severity: Major
Found in tensorflow/python/kernel_tests/array_ops/diag_op_test.py and 1 other location - About 2 days to fix
tensorflow/python/kernel_tests/array_ops/diag_op_test.py on lines 1023..1030

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 285.

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

          [[[[[[1.1 + 1.1j, 0 + 0j], [0 + 0j, 0 + 0j]], [[0 + 0j, 0 + 0j], [
              0 + 0j, 0 + 0j
          ]]], [[[0 + 0j, 2.2 + 2.2j], [0 + 0j, 0 + 0j]], [[0 + 0j, 0 + 0j], [
              0 + 0j, 0 + 0j
          ]]]], [[[[0 + 0j, 0 + 0j], [3.3 + 3.3j, 0 + 0j]], [[0 + 0j, 0 + 0j], [
Severity: Major
Found in tensorflow/python/kernel_tests/array_ops/diag_op_test.py and 1 other location - About 2 days to fix
tensorflow/python/kernel_tests/array_ops/diag_op_test.py on lines 1031..1038

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 285.

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

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

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

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

Refactorings

Further Reading

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

  def _ComputeReferenceDilatedConv(
      self,
      tensor_in_sizes,
      filter_in_sizes,
      stride,
Severity: Major
Found in tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py and 1 other location - About 2 days to fix
tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 1327..1372

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 284.

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

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

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

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

Refactorings

Further Reading

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

  def _ComputeReferenceDilatedConv(
      self,
      tensor_in_sizes,
      filter_in_sizes,
      stride,
Severity: Major
Found in tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py and 1 other location - About 2 days to fix
tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py on lines 338..383

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 284.

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

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

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

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

Refactorings

Further Reading

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

  def test_dense_multi_column(self):
    price1 = fc._numeric_column('price1', shape=2)
    price2 = fc._numeric_column('price2')
    with ops.Graph().as_default():
      features = {
Severity: Major
Found in tensorflow/python/feature_column/feature_column_test.py and 1 other location - About 2 days to fix
tensorflow/python/feature_column/feature_column_v2_test.py on lines 1743..1760

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 284.

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 EluGradOpTest(test.TestCase):

  @test_util.run_deprecated_v1
  def testEluGradGradWRTgrad_ys(self):
    inputs = constant_op.constant(
Severity: Major
Found in tensorflow/python/ops/nn_grad_test.py and 1 other location - About 2 days to fix
tensorflow/python/ops/nn_grad_test.py on lines 219..253

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 284.

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

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

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

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

Refactorings

Further Reading

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

  def test_dense_multi_column(self):
    price1 = fc.numeric_column('price1', shape=2)
    price2 = fc.numeric_column('price2')
    with ops.Graph().as_default():
      features = {'price1': [[1., 2.], [5., 6.]], 'price2': [[3.], [4.]]}
Severity: Major
Found in tensorflow/python/feature_column/feature_column_v2_test.py and 1 other location - About 2 days to fix
tensorflow/python/feature_column/feature_column_test.py on lines 1580..1600

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 284.

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 SeluGradOpTest(test.TestCase):

  @test_util.run_deprecated_v1
  def testSeluGradGradWRTgrad_ys(self):
    inputs = constant_op.constant(
Severity: Major
Found in tensorflow/python/ops/nn_grad_test.py and 1 other location - About 2 days to fix
tensorflow/python/ops/nn_grad_test.py on lines 182..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 284.

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

  def testFullDeviceNames(self):
    server1 = server_lib.Server.create_local_server()
    server2 = server_lib.Server.create_local_server()
    cluster_def = cluster_pb2.ClusterDef()
    job = cluster_def.job.add()
Severity: Major
Found in tensorflow/python/client/session_clusterspec_prop_test.py and 2 other locations - About 2 days to fix
tensorflow/python/client/session_clusterspec_prop_test.py on lines 102..127
tensorflow/python/client/session_clusterspec_prop_test.py on lines 204..228

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 283.

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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