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tensorflow/python/client/session_test.py

Summary

Maintainability
F
1 wk
Test Coverage

File session_test.py has 1755 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/client/session_test.py - About 4 days to fix

    SessionTest has 106 functions (exceeds 20 allowed). Consider refactoring.
    Open

    class SessionTest(test_util.TensorFlowTestCase):

  def setUp(self):
    super(SessionTest, self).setUp()
    warnings.simplefilter('always')
    Severity: Major
    Found in tensorflow/python/client/session_test.py - About 2 days to fix

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

        def testDefaultLogDevicePlacement(self):

    class CaptureStderr(str):
      """Class to capture stderr from C++ shared library."""
      Severity: Minor
      Found in tensorflow/python/client/session_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 testFeedAndFetch has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
      Open

        def testFeedAndFetch(self):
    with session.Session() as sess:
      for dtype in [
          dtypes.float16, dtypes.float32, dtypes.float64, dtypes.int32,
          dtypes.uint8, dtypes.int16, dtypes.int8, dtypes.int64, dtypes.bool,
      Severity: Minor
      Found in tensorflow/python/client/session_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 testParallelRunAndParallelBuild has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
      Open

        def testParallelRunAndParallelBuild(self):
    with session.Session() as sess:
      c = constant_op.constant(5.0)
      stop = threading.Event()
      Severity: Minor
      Found in tensorflow/python/client/session_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

        def testDeviceAttributesCanonicalization(self):
    attrs = session._DeviceAttributes('/job:worker/replica:0/task:3/cpu:1',
                                      'TYPE', 1337, 1000000)
    self.assertEqual(1337, attrs.memory_limit_bytes)
    self.assertEqual('/job:worker/replica:0/task:3/device:CPU:1', attrs.name)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 5 hrs to fix
      tensorflow/python/client/session_test.py on lines 2046..2054

      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

        def testDeviceAttributes(self):
    attrs = session._DeviceAttributes(
        '/job:worker/replica:0/task:3/device:CPU:2', 'TYPE', 1337, 1000000)
    self.assertEqual(1337, attrs.memory_limit_bytes)
    self.assertEqual('/job:worker/replica:0/task:3/device:CPU:2', attrs.name)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 5 hrs to fix
      tensorflow/python/client/session_test.py on lines 2056..2064

      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

            for expected_type, r in zip(test_dct_types, res[3:]):
        self.assertIsInstance(r, expected_type)
        self.assertEqual(3, len(r))
        self.assertEqual(a_val, r['a'])
        self.assertEqual(b_val, r['b'])
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 5 hrs to fix
      tensorflow/python/client/session_test.py on lines 489..494

      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 92.

      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 expected_type, r in zip(test_dct_types, res[3:]):
        self.assertIsInstance(r, expected_type)
        self.assertEqual(3, len(r))
        self.assertEqual(a_val, r['a'])
        self.assertEqual(b_val, r['b'])
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 5 hrs to fix
      tensorflow/python/client/session_test.py on lines 462..467

      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 92.

      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

          with ops.Graph().as_default() as g, ops.device('/cpu:0'):
      a = constant_op.constant(6.0, shape=[1, 1])
      b = constant_op.constant(7.0, shape=[1, 1])
      c = math_ops.matmul(a, b, name='matmul')
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 4 hrs to fix
      tensorflow/core/tfrt/tfrt_session/tfrt_session_python_test.py on lines 34..37

      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 76.

      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 session.Session(config=config_pb) as s:
      inp = constant_op.constant(20.0, name='W2')
      results = s.run([inp])
      self.assertAllEqual([20.0], results)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 2 hrs to fix
      tensorflow/python/client/session_test.py on lines 148..151

      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 54.

      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 session.Session(config=config_pb) as s:
      inp = constant_op.constant(10.0, name='W1')
      results = s.run([inp])
      self.assertAllEqual([10.0], results)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 2 hrs to fix
      tensorflow/python/client/session_test.py on lines 155..158

      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 54.

      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 run_loop():
        while not stop.is_set():
          time.sleep(random.random() * 0.1)
          self.assertEqual(sess.run(c), 5.0)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 2 hrs to fix
      tensorflow/python/client/session_test.py on lines 1187..1190

      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 51.

      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 run_loop():
        while not stop.is_set():
          time.sleep(random.random() * 0.1)
          self.assertEqual(sess.run(c), 5.0)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 2 hrs to fix
      tensorflow/python/client/session_test.py on lines 1208..1211

      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 51.

      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 i in range(len(c_list)):
        self.assertEqual(c_list[i], out[i].decode('utf-8'))
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/client/session_test.py on lines 1625..1626

      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

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

            for i in range(len(c_list)):
        self.assertEqual(c_list[i], out[i].decode('utf-8'))
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/client/session_test.py on lines 1621..1622

      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

        @test_util.run_v1_only('b/120545219')
  def testOutputPartitionGraphsDistributed(self):
    server = server_lib.Server.create_local_server()
    self.runTestOutputPartitionGraphs(session.Session(server.target))
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/client/session_test.py on lines 2041..2044

      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

        @test_util.run_v1_only('b/120545219')
  def testBuildGraphErrorDist(self):
    server = server_lib.Server.create_local_server()
    self.runTestBuildGraphError(session.Session(server.target))
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/client/session_test.py on lines 1811..1814

      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

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

              c_list = np.array([compat.as_bytes(str(i)) for i in range(size)],
                          dtype=np.object_).reshape(shape) if size > 0 else []
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/client/session_test.py on lines 1589..1590

      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 41.

      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

              c_list = np.array([compat.as_bytes(str(i)) for i in range(size)],
                          dtype=np.object_).reshape(shape)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 1 other location - About 1 hr to fix
      tensorflow/python/client/session_test.py on lines 1578..1579

      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 41.

      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

            for dtype in [
          dtypes.float16, dtypes.float32, dtypes.float64, dtypes.int32,
          dtypes.uint8, dtypes.int16, dtypes.int8, dtypes.int64, dtypes.bool,
          dtypes.complex64, dtypes.complex128
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 3 other locations - About 50 mins to fix
      tensorflow/python/kernel_tests/array_ops/constant_op_test.py on lines 452..456
      tensorflow/python/kernel_tests/array_ops/constant_op_test.py on lines 693..697
      tensorflow/python/kernel_tests/math_ops/cwise_ops_test.py on lines 760..761

      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 36.

      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

            indices_out, values_out, shape_out = s.run(
          [sp_indices, sp_values, sp_shape], {
              sp: sparse_tensor.SparseTensorValue(indices, values, shape)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 3 other locations - About 30 mins to fix
      tensorflow/python/client/session_test.py on lines 778..780
      tensorflow/python/client/session_test.py on lines 813..815
      tensorflow/python/client/session_test.py on lines 908..910

      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 32.

      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

            indices_out, values_out, shape_out = s.run(
          [sp_indices, sp_values, sp_shape], {
              sp: sparse_tensor.SparseTensorValue(indices, values, shape)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 3 other locations - About 30 mins to fix
      tensorflow/python/client/session_test.py on lines 737..739
      tensorflow/python/client/session_test.py on lines 778..780
      tensorflow/python/client/session_test.py on lines 908..910

      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 32.

      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

            values_out, indices_out, dense_shape_out = s.run([
          ind_values, ind_indices, ind_dense_shape
      ], {ind: indexed_slices.IndexedSlicesValue(values, indices, dense_shape)})
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 3 other locations - About 30 mins to fix
      tensorflow/python/client/session_test.py on lines 737..739
      tensorflow/python/client/session_test.py on lines 778..780
      tensorflow/python/client/session_test.py on lines 813..815

      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 32.

      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

            indices_out, values_out, shape_out = s.run(
          [sp_indices, sp_values, sp_shape], {
              sp: sparse_tensor.SparseTensorValue(indices, values, shape)
      Severity: Major
      Found in tensorflow/python/client/session_test.py and 3 other locations - About 30 mins to fix
      tensorflow/python/client/session_test.py on lines 737..739
      tensorflow/python/client/session_test.py on lines 813..815
      tensorflow/python/client/session_test.py on lines 908..910

      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 32.

      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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