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tensorflow/python/kernel_tests/control_flow/functional_ops_test.py

Summary

Maintainability
F
3 wks
Test Coverage

File functional_ops_test.py has 864 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
Severity: Major
Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py - About 2 days to fix

    FunctionalOpsTest has 55 functions (exceeds 20 allowed). Consider refactoring.
    Open

    class FunctionalOpsTest(test.TestCase):

  @test_util.run_in_graph_and_eager_modes
  def testFoldl_Simple(self):
    elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
    Severity: Major
    Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py - About 7 hrs to fix

      Function testWhileLowering has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
      Open

        def testWhileLowering(self):

    def Run(n, fetch_by_name):
      for use_gpu in (True, False):
        with ops.Graph().as_default() as g:
      Severity: Minor
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py - About 25 mins to fix

      Cognitive Complexity

      Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

      A method's cognitive complexity is based on a few simple rules:

      • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
      • Code is considered more complex for each "break in the linear flow of the code"
      • Code is considered more complex when "flow breaking structures are nested"

      Further reading

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

        @test_util.run_deprecated_v1
  def testRemoteFunctionCPUGPU(self):
    if not test_util.is_gpu_available():
      self.skipTest("No GPU available")
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 501..524

      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 200.

      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_deprecated_v1
  def testRemoteFunctionGPUCPU(self):
    if not test_util.is_gpu_available():
      self.skipTest("No GPU available")
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 476..499

      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 200.

      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_deprecated_v1
  def testFoldl_Scoped(self):
    with self.cached_session() as sess:
      with variable_scope.variable_scope("root") as varscope:
        elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 156..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 194.

      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_deprecated_v1
  def testFoldr_Scoped(self):
    with self.cached_session() as sess:
      with variable_scope.variable_scope("root") as varscope:
        elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 103..121

      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 194.

      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 testWhileInt32(self):
    with ops.Graph().as_default() as g:

      @function.Defun(*[dtypes.int32] * 2)
      def Cond(n, unused_x):
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 633..649

      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 171.

      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

          for use_gpu in (True, False):
      with ops.Graph().as_default() as g:

        @function.Defun(*[dtypes.float32] * 2)
        def Cond(n, unused_x):
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 678..694

      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 171.

      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_in_graph_and_eager_modes
  def testFoldl_Simple(self):
    elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")

    r = functional_ops.foldl(
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 123..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 134.

      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_in_graph_and_eager_modes
  def testFoldr_Simple(self):
    elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")

    r = functional_ops.foldr(
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 day to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 61..74

      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 134.

      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_in_graph_and_eager_modes
  def testFoldl_SingleInputMultiOutput(self):
    elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
    initializer = np.array([1, -1.0])
    r = functional_ops.foldl(lambda a, x: a + x, elems, initializer)
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 7 hrs to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 138..146

      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 111.

      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_in_graph_and_eager_modes
  def testFoldr_SingleInputMultiOutput(self):
    elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
    initializer = np.array([1, -1.0])
    r = functional_ops.foldr(lambda a, x: a + x, elems, initializer)
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 7 hrs to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 76..84

      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 111.

      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_in_graph_and_eager_modes
  def testFoldr_MultiInputSingleOutput(self):
    elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
    initializer = np.array(1.0)
    r = functional_ops.foldr(lambda a, x: a + x[0] + x[1], (elems, -elems),
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 6 hrs to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 86..92

      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 106.

      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_in_graph_and_eager_modes
  def testFoldl_MultiInputSingleOutput(self):
    elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
    initializer = np.array(1.0)
    r = functional_ops.foldl(lambda a, x: a + x[0] + x[1], (elems, -elems),
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 6 hrs to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 148..154

      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 106.

      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_in_graph_and_eager_modes
  def testFoldShape(self):
    x = constant_op.constant([[1, 2, 3], [4, 5, 6]])

    def fn(_, current_input):
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 5 hrs to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 355..364

      Duplicated Code

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

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

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

      Tuning

      This issue has a mass of 95.

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

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

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

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

      Refactorings

      Further Reading

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

        @test_util.run_in_graph_and_eager_modes
  def testScanShape(self):
    x = constant_op.constant([[1, 2, 3], [4, 5, 6]])

    def fn(_, current_input):
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 5 hrs to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 344..353

      Duplicated Code

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

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

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

      Tuning

      This issue has a mass of 95.

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

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

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

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

      Refactorings

      Further Reading

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

      def simple_scoped_fn(a, x):
  """Simple function: (a, x) -> 2(x+a), but with "2" as a variable in scope."""
  with variable_scope.variable_scope("body"):
    # Dummy variable, just to check that scoping works as intended.
    two = variable_scope.get_variable(
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 3 hrs to fix
      tensorflow/python/kernel_tests/control_flow/map_fn_test.py on lines 42..50

      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 64.

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

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

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

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

      Refactorings

      Further Reading

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

              a = math_ops.tanh(math_ops.matmul(a, ws[i, :]) + bs[i, :])
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 938..939

      Duplicated Code

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

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

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

      Tuning

      This issue has a mass of 42.

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

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

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

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

      Refactorings

      Further Reading

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

          for i in range(wsval.shape[0]):
      xval = np.tanh(np.dot(xval, wsval[i, :]) + bsval[i, :])
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 925..925

      Duplicated Code

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

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

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

      Tuning

      This issue has a mass of 42.

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

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

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

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

      Refactorings

      Further Reading

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

              return functional_ops.remote_call(
            args=[constant_op.constant([1.])] + _remote_fn.captured_inputs,
            Tout=[dtypes.float32],
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 1026..1028

      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 40.

      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

              return functional_ops.remote_call(
            args=[constant_op.constant([1.])] + collective_fn.captured_inputs,
            Tout=[dtypes.float32],
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 591..593

      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 40.

      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

          with ops.device("/job:worker/replica:0/task:0/cpu:0"):
      remote_op = functional_ops.remote_call(
          args=[a, b],
          Tout=[dtypes.int32],
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 2 other locations - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 444..447
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 467..469

      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 39.

      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

          with ops.device("/cpu:0"):
      remote_op = functional_ops.remote_call(
          args=[a, b], Tout=[dtypes.int32], f=_remote_fn, target="/cpu:0")
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 2 other locations - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 419..422
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 444..447

      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 39.

      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

          with ops.device("/job:localhost/replica:0/task:0/cpu:0"):
      remote_op = functional_ops.remote_call(
          args=[a, b],
          Tout=[dtypes.int32],
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 2 other locations - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 419..422
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 467..469

      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 39.

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

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

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

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

      Refactorings

      Further Reading

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

            with self.assertRaisesRegex(errors.InvalidArgumentError,
                                  "Invalid start/limit/delta"):
        functional_ops.For(0, 10, -1, [0.0], Foo)[0].eval()
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 982..985

      Duplicated Code

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

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

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

      Tuning

      This issue has a mass of 38.

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

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

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

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

      Refactorings

      Further Reading

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

            with self.assertRaisesRegex(
          errors.InvalidArgumentError,
          "For loop body returned 2 arguments. Expected: 1"):
        functional_ops.For(0, 10, 1, [0.0], ReturnsTooManyArgs)[0].eval()
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 979..981

      Duplicated Code

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

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

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

      Tuning

      This issue has a mass of 38.

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

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

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

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

      Refactorings

      Further Reading

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

          with self.test_session(config=worker_config) as sess:
      self.evaluate(variables.global_variables_initializer())
      mul = self.evaluate(remote_op)
      self.assertEqual(mul, [6])
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 2 other locations - About 55 mins to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 426..429
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 471..474

      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 37.

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

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

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

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

      Refactorings

      Further Reading

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

          with self.cached_session() as sess:
      self.evaluate(variables.global_variables_initializer())
      mul = self.evaluate(remote_op)
      self.assertEqual(mul, [6])
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 2 other locations - About 55 mins to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 426..429
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 451..454

      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 37.

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

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

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

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

      Refactorings

      Further Reading

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

          with session.Session(worker[0].target) as sess:
      self.evaluate(variables.global_variables_initializer())
      mul = self.evaluate(remote_op)
      self.assertEqual(mul, [6])
      Severity: Major
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 2 other locations - About 55 mins to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 451..454
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 471..474

      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 37.

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

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

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

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

      Refactorings

      Further Reading

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

                with self.assertRaisesRegex(
              errors.InvalidArgumentError,
              "Expected a single scalar.*got 2 tensors."):
            functional_ops.While([5., 0.], CondReturnsTooManyArgs,
                                 Body)[0].eval()
      Severity: Minor
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 55 mins to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 759..763

      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 37.

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

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

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

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

      Refactorings

      Further Reading

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

                with self.assertRaisesRegex(
              errors.InvalidArgumentError,
              "While loop body returned 3 arguments. Expected: 2"):
            functional_ops.While([5., 0.], Cond,
                                 BodyReturnsTooManyArgs)[0].eval()
      Severity: Minor
      Found in tensorflow/python/kernel_tests/control_flow/functional_ops_test.py and 1 other location - About 55 mins to fix
      tensorflow/python/kernel_tests/control_flow/functional_ops_test.py on lines 754..758

      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 37.

      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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