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tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py

Summary

Maintainability
F
1 mo
Test Coverage

File cwise_ops_binary_test.py has 921 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2018 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/math_ops/cwise_ops_binary_test.py - About 2 days to fix

    BinaryOpTest has 100 functions (exceeds 20 allowed). Consider refactoring.
    Open

    class BinaryOpTest(test.TestCase):

  def _compareCpu(self, x, y, np_func, tf_func, also_compare_variables=False):
    np_ans = np_func(x, y)
    with test_util.force_cpu():
    Severity: Major
    Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 1 day to fix

      Function testScalarCompareScalar has a Cognitive Complexity of 12 (exceeds 5 allowed). Consider refactoring.
      Open

        def testScalarCompareScalar(self):
    dtypes = [np.float16, np.float32, np.float64, np.int32, np.int64]
    data = [-1, 0, 1]
    for t in dtypes:
      for x in data:
      Severity: Minor
      Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 1 hr to fix

      Cognitive Complexity

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

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

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

      Further reading

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

        def _compareBCast(self, xs, ys, dtype, np_func, tf_func):
    if dtype in (np.complex64, np.complex128):
      x = (1 + np.linspace(0, 2 + 3j, np.prod(xs))).astype(dtype).reshape(xs)
      y = (1 + np.linspace(0, 2 - 2j, np.prod(ys))).astype(dtype).reshape(ys)
    else:
      Severity: Minor
      Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 55 mins to fix

      Cognitive Complexity

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

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

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

      Further reading

      Function _compareGradientX has 5 arguments (exceeds 4 allowed). Consider refactoring.
      Open

        def _compareGradientX(self,
      Severity: Minor
      Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 35 mins to fix

        Function _compareBCast has 5 arguments (exceeds 4 allowed). Consider refactoring.
        Open

          def _compareBCast(self, xs, ys, dtype, np_func, tf_func):
        Severity: Minor
        Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 35 mins to fix

          Function _compareCpu has 5 arguments (exceeds 4 allowed). Consider refactoring.
          Open

            def _compareCpu(self, x, y, np_func, tf_func, also_compare_variables=False):
          Severity: Minor
          Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 35 mins to fix

            Function _compareGradientY has 5 arguments (exceeds 4 allowed). Consider refactoring.
            Open

              def _compareGradientY(self,
            Severity: Minor
            Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 35 mins to fix

              Function _compareBCast has 5 arguments (exceeds 4 allowed). Consider refactoring.
              Open

                def _compareBCast(self, xs, ys, dtype, np_func, tf_func):
              Severity: Minor
              Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 35 mins to fix

                Function _compareBoth has 5 arguments (exceeds 4 allowed). Consider refactoring.
                Open

                  def _compareBoth(self, x, y, np_func, tf_func, also_compare_variables=False):
                Severity: Minor
                Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 35 mins to fix

                  Function _testBCastByFunc has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
                  Open

                    def _testBCastByFunc(self, funcs, xs, ys):
    dtypes = [
        np.float16,
        np.float32,
        np.float64,
                  Severity: Minor
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py - About 35 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

                    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

                    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 testInt32Basic(self):
    x = np.arange(1, 13, 2).reshape(1, 3, 2).astype(np.int32)
    y = np.arange(1, 7, 1).reshape(1, 3, 2).astype(np.int32)
    self._compareBoth(x, y, np.add, math_ops.add)
    self._compareBoth(x, y, np.subtract, math_ops.subtract)
                  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 5745..5762

                  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 258.

                  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 testComplex64Basic(self):
    x = (1 + 1j) * np.linspace(-10, 10, 6).reshape(1, 3, 2).astype(  # pylint: disable=too-many-function-args
        np.complex64)
    y = (1 + 1j) * np.linspace(20, -20, 6).reshape(1, 3, 2).astype(  # pylint: disable=too-many-function-args
                  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/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 430..443

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 224.

                  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 testComplex128Basic(self):
    x = (1 + 1j) * np.linspace(-10, 10, 6).reshape(1, 3, 2).astype(  # pylint: disable=too-many-function-args
        np.complex128)
    y = (1 + 1j) * np.linspace(20, -20, 6).reshape(1, 3, 2).astype(  # pylint: disable=too-many-function-args
                  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/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 415..428

                  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 224.

                  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 y in data:
          self.assertEqual(self._compareScalar(math_ops.less, x, y, t), x < y)
          self.assertEqual(
              self._compareScalar(math_ops.less_equal, x, y, t), x <= y)
          self.assertEqual(
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 1 day to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 96..107

                  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 163.

                  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 _compareBCast(self, xs, ys, dtype, np_func, tf_func):
    x = np.linspace(-15, 15, np.prod(xs)).astype(dtype).reshape(xs)
    y = np.linspace(20, -10, np.prod(ys)).astype(dtype).reshape(ys)
    if dtype in (np.complex64, np.complex128):
      x -= 1j * x
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 1 day to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 148..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 140.

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

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

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

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

                  Refactorings

                  Further Reading

                  Identical blocks of code found in 4 locations. Consider refactoring.
                  Open

                      shapes = [
        ([1, 3, 2], [1]),
        ([1, 3, 2], [2]),
        ([1, 3, 2], [3, 2]),
        ([1, 3, 2], [3, 1]),
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 3 other locations - About 1 day to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 158..169
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 270..281
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 2654..2665

                  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 132.

                  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 testInt16Basic(self):
    x = np.arange(1, 13, 2).reshape(1, 3, 2).astype(np.int16)
    y = np.arange(1, 7, 1).reshape(1, 3, 2).astype(np.int16)
    self._compareBoth(x, y, np.subtract, math_ops.subtract)
    self._compareBoth(x, y, np.multiply, math_ops.multiply)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 1 day to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 407..413

                  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 124.

                  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 testUint64Basic(self):
    x = np.arange(1, 13, 2).reshape(1, 3, 2).astype(np.uint32)
    y = np.arange(1, 7, 1).reshape(1, 3, 2).astype(np.uint32)
    self._compareBoth(x, y, np.true_divide, math_ops.truediv)
    self._compareBoth(x, y, np.floor_divide, math_ops.floordiv)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 1 day to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 345..351

                  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 124.

                  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

                      for t in [np.float16, np.float32, np.float64, np.int32, np.int64]:
      xt = x.astype(t)
      yt = y.astype(t)
      self._compare(xt, yt, np.less, math_ops.less)
      self._compare(xt, yt, np.less_equal, math_ops.less_equal)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 2 other locations - About 7 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 129..137
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 5711..5719

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 119.

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

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

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

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

                  Refactorings

                  Further Reading

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

                  def _sparsify(x, thresh=0.5, index_dtype=np.int64):
  x[x < thresh] = 0

  non_zero = np.where(x)
  x_indices = np.vstack(non_zero).astype(index_dtype).T
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 2 other locations - About 6 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 52..61
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_unary_test.py on lines 42..51

                  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 98.

                  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 _compareGpu(self, x, y, np_func, tf_func):
    np_ans = np_func(x, y)
    with test_util.use_gpu():
      inx = ops.convert_to_tensor(x)
      iny = ops.convert_to_tensor(y)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 2 other locations - About 5 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/basic_gpu_test.py on lines 163..171
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 5649..5657

                  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 91.

                  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 _compareScalar(self, func, x, y, dtype):
    with test_util.use_gpu():
      out = func(
          ops.convert_to_tensor(np.array([x]).astype(dtype)),
          ops.convert_to_tensor(np.array([y]).astype(dtype)))
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 5 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 82..88

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 88.

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

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

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

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

                  Refactorings

                  Further Reading

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

                      for t in [np.complex64, np.complex128]:
      xt = x.astype(t)
      xt -= 1j * xt
      yt = y.astype(t)
      yt -= 1j * yt
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 4 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 140..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 81.

                  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 test_util.force_cpu():
        with self.assertRaisesRegex(
            errors_impl.InvalidArgumentError,
            "Integers to negative integer powers are not allowed"):
          x = np.array([5, 2]).astype(dtype)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 4 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 852..858

                  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 77.

                  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 test_util.force_cpu():
        with self.assertRaisesRegex(
            errors_impl.InvalidArgumentError,
            "Integers to negative integer powers are not allowed"):
          x = np.array([5, 2]).astype(dtype)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 4 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 860..866

                  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 77.

                  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

                    def _compare(self, x, y, np_func, tf_func):
    np_ans = np_func(x, y)
    with test_util.use_gpu():
      out = tf_func(ops.convert_to_tensor(x), ops.convert_to_tensor(y))
      tf_ans = self.evaluate(out)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 2 other locations - About 3 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 118..123
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 5663..5668

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 71.

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

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

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

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

                  Refactorings

                  Further Reading

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

                  def _default_tolerance(dtype):
  """Returns a sensible default tolerance for comparing results of a given type.

  Args:
    dtype: A datatype.
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 2 other locations - About 3 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 64..77
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 88..101

                  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 70.

                  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

                      if np_ans.dtype != np.object_:
      self.assertAllClose(np_ans, tf_cpu)
      self.assertAllClose(np_ans, np_left)
      self.assertAllClose(np_ans, np_right)
      if also_compare_variables:
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 3 hrs to fix
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 5519..5525

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 68.

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

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

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

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

                  Refactorings

                  Further Reading

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

                          for y in data:
          self.assertEqual(self._compareScalar(math_ops.equal, x, y, t), x == y)
          self.assertEqual(
              self._compareScalar(math_ops.not_equal, x, y, t), x != y)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 2 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 112..116

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 55.

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

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

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

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

                  Refactorings

                  Further Reading

                  Similar blocks of code found in 4 locations. Consider refactoring.
                  Open

                      x1[np.abs(x1) < 0.5] = 0.5 * np.sign(x1[np.abs(x1) < 0.5])
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 3 other locations - About 2 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 218..218
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 219..219
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 296..296

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 53.

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

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

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

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

                  Refactorings

                  Further Reading

                  Similar blocks of code found in 4 locations. Consider refactoring.
                  Open

                      x2[np.abs(x2) < 0.05] = 0.05 * np.sign(x2[np.abs(x2) < 0.05])
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 3 other locations - About 2 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 218..218
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 295..295
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 296..296

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 53.

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

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

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

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

                  Refactorings

                  Further Reading

                  Similar blocks of code found in 4 locations. Consider refactoring.
                  Open

                      x1[np.abs(x1) < 0.05] = 0.05 * np.sign(x1[np.abs(x1) < 0.05])
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 3 other locations - About 2 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 219..219
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 295..295
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 296..296

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 53.

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

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

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

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

                  Refactorings

                  Further Reading

                  Similar blocks of code found in 4 locations. Consider refactoring.
                  Open

                      x2[np.abs(x2) < 0.5] = 0.5 * np.sign(x2[np.abs(x2) < 0.5])
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 3 other locations - About 2 hrs to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 218..218
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 219..219
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 295..295

                  Duplicated Code

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

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

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

                  Tuning

                  This issue has a mass of 53.

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

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

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

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

                  Refactorings

                  Further Reading

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

                    def _testBCastB(self, xs, ys):
    funcs = [
        (np.subtract, math_ops.subtract),
        (np.subtract, _SUB),
        (np.power, math_ops.pow),
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 1 hr to fix
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6155..6161

                  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 47.

                  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

                      x = np.arange(1 << 40, 13 << 40, 2 << 40).reshape(1, 3, 2).astype(np.int64)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 2 other locations - About 1 hr to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_unary_test.py on lines 491..491
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_unary_test.py on lines 503..503

                  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 47.

                  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

                      dtypes = [
        np.float16,
        np.float32,
        np.float64,
        np.int8,
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 1 hr to fix
                  tensorflow/python/ops/ragged/ragged_dispatch.py on lines 89..101

                  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 5 locations. Consider refactoring.
                  Open

                    def _testBCastA(self, xs, ys):
    funcs = [
        (np.add, math_ops.add),
        (np.add, _ADD),
    ]
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 4 other locations - About 1 hr to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 528..533
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6148..6153
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6163..6168
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6170..6175

                  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 5 locations. Consider refactoring.
                  Open

                    def _testBCastC(self, xs, ys):
    funcs = [
        (np.multiply, math_ops.multiply),
        (np.multiply, _MUL),
    ]
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 4 other locations - About 1 hr to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 513..518
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6148..6153
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6163..6168
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6170..6175

                  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 4 locations. Consider refactoring.
                  Open

                        y = (1 + np.linspace(0, 5, np.prod(ys))).astype(dtype).reshape(ys)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 3 other locations - About 55 mins to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 474..474
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6133..6133
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6134..6134

                  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 4 locations. Consider refactoring.
                  Open

                        x = (1 + np.linspace(0, 5, np.prod(xs))).astype(dtype).reshape(xs)
                  Severity: Major
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 3 other locations - About 55 mins to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 475..475
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6133..6133
                  tensorflow/tools/ci_build/osx/arm64/tensorflow_metal_plugin_test.py on lines 6134..6134

                  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 2 locations. Consider refactoring.
                  Open

                        for f in funcs:
        with self.assertRaisesIncompatibleShapesError(
            (ValueError, errors.InvalidArgumentError)):
          f(x.astype(t), y.astype(t))
                  Severity: Minor
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 45 mins to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 215..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 35.

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

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

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

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

                  Refactorings

                  Further Reading

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

                        with self.assertRaisesWithPredicateMatch(
          ValueError, lambda e: "Dimensions must" in str(e)):
        func(
            ops.convert_to_tensor([10.0, 20.0, 30.0]),
            ops.convert_to_tensor([[40.0, 50.0], [60.0, 70.0]]))
                  Severity: Minor
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 35 mins to fix
                  tensorflow/python/kernel_tests/math_ops/matmul_op_test.py on lines 215..220

                  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 33.

                  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

                      x = np.array([["x_0_0", "x_0_1", "x_0_2"], ["x_1_0", "x_1_1", "x_1_2"],
                  ["x_2_0", "x_2_1", "x_2_2"]],
                 dtype=np.object_)
                  Severity: Minor
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 35 mins to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 459..461

                  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 33.

                  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

                      y = np.array([["y_0_0", "y_0_1", "y_0_2"], ["y_1_0", "y_1_1", "y_1_2"],
                  ["y_2_0", "y_2_1", "y_2_2"]],
                 dtype=np.object_)
                  Severity: Minor
                  Found in tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py and 1 other location - About 35 mins to fix
                  tensorflow/python/kernel_tests/math_ops/cwise_ops_binary_test.py on lines 456..458

                  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 33.

                  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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