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

  def testCanonicalDeviceNames(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 130..155
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

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

  def testLegacyDeviceNames(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 130..155

Duplicated Code

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

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

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

Tuning

This issue has a mass of 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

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

  def testFtrlWithL1(self):
    # The v1 optimizers do not support eager execution
    with ops.Graph().as_default():
      for dtype in [dtypes.half, dtypes.float32]:
        with self.cached_session():
Severity: Major
Found in tensorflow/python/training/ftrl_test.py and 2 other locations - About 2 days to fix
tensorflow/python/training/ftrl_test.py on lines 78..107
tensorflow/python/training/ftrl_test.py on lines 220..250

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 282.

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 testFtrlWithL1_L2(self):
    # The v1 optimizers do not support eager execution
    with ops.Graph().as_default():
      for dtype in [dtypes.half, dtypes.float32]:
        with self.cached_session():
Severity: Major
Found in tensorflow/python/training/ftrl_test.py and 2 other locations - About 2 days to fix
tensorflow/python/training/ftrl_test.py on lines 78..107
tensorflow/python/training/ftrl_test.py on lines 130..159

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 282.

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 testFtrlwithoutRegularization2(self):
    # The v1 optimizers do not support eager execution
    with ops.Graph().as_default():
      for dtype in [dtypes.half, dtypes.float32]:
        with self.cached_session():
Severity: Major
Found in tensorflow/python/training/ftrl_test.py and 2 other locations - About 2 days to fix
tensorflow/python/training/ftrl_test.py on lines 130..159
tensorflow/python/training/ftrl_test.py on lines 220..250

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 282.

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,
                        x,
                        y,
                        np_func,
                        tf_func,
Severity: Major
Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 2 days to fix
tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 5602..5629

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 282.

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 testCopySparseTensorsToDevice(self):

    def make_tensor(i):
      return sparse_tensor.SparseTensorValue(
Severity: Major
Found in tensorflow/python/data/experimental/kernel_tests/copy_to_device_test.py and 1 other location - About 2 days to fix
tensorflow/python/data/experimental/kernel_tests/prefetch_to_device_test.py on lines 108..136

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 282.

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, x, y, np_func, tf_func, numeric_gradient_type=None
  ):
    z = np_func(x, y)
    zs = list(z.shape)
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_binary_test.py on lines 146..174

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 282.

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 testPrefetchSparseTensorsToDevice(self):
    def make_tensor(i):
      return sparse_tensor.SparseTensorValue(
          indices=[[0, 0]], values=(i*[1]), dense_shape=[2, 2])
Severity: Major
Found in tensorflow/python/data/experimental/kernel_tests/prefetch_to_device_test.py and 1 other location - About 2 days to fix
tensorflow/python/data/experimental/kernel_tests/copy_to_device_test.py on lines 207..238

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 282.

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,
                        x,
                        y,
                        np_func,
                        tf_func,
Severity: Major
Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 2 days to fix
tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 5573..5600

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 281.

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, x, y, np_func, tf_func, numeric_gradient_type=None
  ):
    z = np_func(x, y)
    zs = list(z.shape)
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_binary_test.py on lines 116..144

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 281.

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 test_linear_model_v1_shared_embedding_with_v2_cat_all_other_v2(self):
    # SharedEmbeddingColumns are graph-only
    with ops.Graph().as_default():
      price = fc.numeric_column('price')  # v2
      some_sparse_column = fc.categorical_column_with_hash_bucket(
Severity: Major
Found in tensorflow/python/feature_column/feature_column_v2_test.py and 2 other locations - About 2 days to fix
tensorflow/python/feature_column/feature_column_v2_test.py on lines 2135..2173
tensorflow/python/feature_column/feature_column_v2_test.py on lines 2215..2253

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 280.

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 test_linear_model_v1_v2_mix(self):
    # SharedEmbeddingColumns are graph-only
    with ops.Graph().as_default():
      price = fc.numeric_column('price')  # v2
      some_sparse_column = fc.categorical_column_with_hash_bucket(
Severity: Major
Found in tensorflow/python/feature_column/feature_column_v2_test.py and 2 other locations - About 2 days to fix
tensorflow/python/feature_column/feature_column_v2_test.py on lines 2135..2173
tensorflow/python/feature_column/feature_column_v2_test.py on lines 2175..2213

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 280.

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 test_linear_model_v1_shared_embedding_all_other_v2(self):
    # SharedEmbeddingColumns are graph-only
    with ops.Graph().as_default():
      price = fc.numeric_column('price')  # v2
      some_sparse_column = fc.categorical_column_with_hash_bucket(
Severity: Major
Found in tensorflow/python/feature_column/feature_column_v2_test.py and 2 other locations - About 2 days to fix
tensorflow/python/feature_column/feature_column_v2_test.py on lines 2175..2213
tensorflow/python/feature_column/feature_column_v2_test.py on lines 2215..2253

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 280.

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_parse_example(self):
    a = fc.categorical_column_with_vocabulary_list(
        key='aaa', vocabulary_list=('omar', 'stringer', 'marlo'))
    a_weighted = fc.weighted_categorical_column(a, weight_feature_key='weights')
    data = example_pb2.Example(
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 6339..6369

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 280.

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_parse_example(self):
    a = fc._categorical_column_with_vocabulary_list(
        key='aaa', vocabulary_list=('omar', 'stringer', 'marlo'))
    a_weighted = fc._weighted_categorical_column(
        a, weight_feature_key='weights')
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 6125..6157

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 280.

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

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

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

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

Refactorings

Further Reading

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

    with ops.Graph().as_default():
      for dtype in [dtypes.half, dtypes.float32]:
        with self.cached_session():
          var0 = variables.Variable([1.0, 2.0], dtype=dtype)
          var1 = variables.Variable([4.0, 3.0], dtype=dtype)
Severity: Major
Found in tensorflow/python/training/ftrl_test.py and 1 other location - About 2 days to fix
tensorflow/python/training/ftrl_test.py on lines 188..218

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 279.

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 testFtrlWithL2_Beta(self):
    # The v1 optimizers do not support eager execution
    with ops.Graph().as_default():
      for dtype in [dtypes.half, dtypes.float32]:
        with self.cached_session():
Severity: Major
Found in tensorflow/python/training/ftrl_test.py and 1 other location - About 2 days to fix
tensorflow/python/training/ftrl_test.py on lines 260..289

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 279.

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_fills_cols_to_vars(self):
    # Provide three _DenseColumn's to input_layer: a _NumericColumn, a
    # _BucketizedColumn, and an _EmbeddingColumn.  Only the _EmbeddingColumn
    # creates a Variable.
    price1 = fc._numeric_column('price1')
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 2497..2524

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 278.

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_fills_cols_to_vars(self):
    # Provide three _DenseColumn's to input_layer: a _NumericColumn, a
    # _BucketizedColumn, and an _EmbeddingColumn.  Only the _EmbeddingColumn
    # creates a Variable.
    price1 = fc.numeric_column('price1')
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 2784..2811

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 278.

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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