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tensorflow/python/training/monitored_session_test.py

Summary

Maintainability
F
1 mo
Test Coverage

File monitored_session_test.py has 1807 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# pylint: disable=g-bad-file-header
# Copyright 2016 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.
Severity: Major
Found in tensorflow/python/training/monitored_session_test.py - About 4 days to fix

    MonitoredSessionTest has 37 functions (exceeds 20 allowed). Consider refactoring.
    Open

    class MonitoredSessionTest(test.TestCase):
  """MonitoredSession tests."""

  def test_defaults(self):
    with ops.Graph().as_default():
    Severity: Minor
    Found in tensorflow/python/training/monitored_session_test.py - About 4 hrs to fix

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

        def __init__(self, trace_level, timeout_in_ms, output_partition_graphs,
      Severity: Minor
      Found in tensorflow/python/training/monitored_session_test.py - About 35 mins to fix

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

          def _maybe_stop_with_exception(self, coord):
    while True:
      with self._lock:
        if self._calls_before_stopping == 0:
          try:
        Severity: Minor
        Found in tensorflow/python/training/monitored_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 test_step_fn_with_hooks(self):
    with ops.Graph().as_default():
      var = resource_variable_ops.ResourceVariable(0.0)

      # This test highlights the interaction of hooks with
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 2 days to fix
        tensorflow/python/training/monitored_session_test.py on lines 2095..2125

        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 291.

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

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

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

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

        Refactorings

        Further Reading

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

          def test_step_fn_has_the_same_hooks_behavior_without_recovery(self):
    with ops.Graph().as_default():
      var = resource_variable_ops.ResourceVariable(0.0)

      stage_0 = state_ops.assign_add(var, 0.3)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 2 days to fix
        tensorflow/python/training/monitored_session_test.py on lines 2051..2093

        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 291.

        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 test_step_fn_recovery_from_coordinator_exception_when_run_hooks(self):
    with self.cached_session() as test_session:
      session_creator = CountingSessionCreator(test_session)
      session = monitored_session.MonitoredSession(
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 1144..1172

        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 207.

        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 test_recovery_from_session_getting_stuck_when_run_hooks(self):
    with self.cached_session() as test_session:
      session_creator = CountingSessionCreator(test_session)
      session = monitored_session.MonitoredSession(
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 1078..1107

        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 207.

        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 test_recovery_from_coordinator_exception(self):
    with self.cached_session() as test_session:
      session_creator = CountingSessionCreator(test_session)
      session = monitored_session.MonitoredSession(
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 1053..1076

        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 182.

        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 test_recovery_from_session_getting_stuck(self):
    with self.cached_session() as test_session:
      session_creator = CountingSessionCreator(test_session)
      session = monitored_session.MonitoredSession(
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 997..1021

        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 182.

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

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

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

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

        Refactorings

        Further Reading

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

          def test_exit_cleanly_on_out_of_range_exception(self):
    # Tests that we stop cleanly when OutOfRange is raised.
    with ops.Graph().as_default():
      gstep = training_util.get_or_create_global_step()
      do_step = state_ops.assign_add(gstep, 1)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 2291..2308

        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 136.

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

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

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

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

        Refactorings

        Further Reading

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

          def test_exit_cleanly_on_out_of_range_exception(self):
    # Tests that we stop cleanly when OutOfRange is raised.
    with ops.Graph().as_default():
      gstep = training_util.get_or_create_global_step()
      do_step = state_ops.assign_add(gstep, 1)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 1702..1719

        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 136.

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

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

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

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

        Refactorings

        Further Reading

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

          def test_regular_exception_reported_to_coord_pass_through_run(self):
    # Tests that regular exceptions reported to the coordinator from a thread
    # passes through a "run()" call within a "with MonitoredSession" block and
    # set the session in stop mode.
    with ops.Graph().as_default():
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 1760..1779

        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 131.

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

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

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

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

        Refactorings

        Further Reading

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

          def test_regular_exception_reported_to_coord_pass_through_run(self):
    # Tests that regular exceptions reported to the coordinator from a thread
    # passes through a "run()" call within a "with MonitoredSession" block and
    # set the session in stop mode.
    with ops.Graph().as_default():
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 day to fix
        tensorflow/python/training/monitored_session_test.py on lines 2310..2329

        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 131.

        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():
      gstep = training_util.get_or_create_global_step()
      new_gstep = state_ops.assign_add(gstep, 1)
      summary.scalar('my_summary_tag', new_gstep * 2)
      with context, monitored_session.MonitoredTrainingSession(
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 5 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 524..533

        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():
      gstep = training_util.get_or_create_global_step()
      new_gstep = state_ops.assign_add(gstep, 1)
      summary.scalar('my_summary_tag', new_gstep * 2)
      with context, monitored_session.MonitoredTrainingSession(
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 5 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 503..512

        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():
      gstep = training_util.get_or_create_global_step()
      new_gstep = state_ops.assign_add(gstep, 1)
      with context, monitored_session.MonitoredTrainingSession(
          checkpoint_dir=logdir,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 4 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 585..593

        Duplicated Code

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

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

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

        Tuning

        This issue has a mass of 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

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

            with ops.Graph().as_default():
      gstep = training_util.get_or_create_global_step()
      new_gstep = state_ops.assign_add(gstep, 1)
      with context, monitored_session.MonitoredTrainingSession(
          checkpoint_dir=logdir,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 4 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 564..572

        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

          @test_util.run_deprecated_v1
  def test_should_stop_on_coord_stop(self):
    with self.cached_session() as sess:
      coord = coordinator.Coordinator()
      coord_sess = monitored_session._CoordinatedSession(sess, coord)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 4 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 703..710

        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 74.

        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 test_should_stop_on_close(self):
    with self.cached_session() as sess:
      coord = coordinator.Coordinator()
      coord_sess = monitored_session._CoordinatedSession(sess, coord)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 4 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 712..719

        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 74.

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

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

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

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

        Refactorings

        Further Reading

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

          def test_defaults(self):
    with ops.Graph().as_default():
      a_var = variable_v1.VariableV1(0)
      with monitored_session.MonitoredSession() as session:
        self.assertEqual(0, session.run(a_var))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 2 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 2265..2270

        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 2 locations. Consider refactoring.
        Open

          def test_handles_initialization(self):
    with ops.Graph().as_default():
      a_var = variable_v1.VariableV1(0)
      with monitored_session.SingularMonitoredSession() as session:
        # If it's not initialized, following statement raises an error.
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 2 hrs to fix
        tensorflow/python/training/monitored_session_test.py on lines 1511..1515

        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

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

              with monitored_session.MonitoredSession(
          session_creator=monitored_session.ChiefSessionCreator(
              scaffold, checkpoint_dir=logdir),
          hooks=hooks) as session:
        self.assertEqual(0, session.run(gstep))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 2 other locations - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 297..301
        tensorflow/python/training/monitored_session_test.py on lines 427..434

        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 49.

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

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

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

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

        Refactorings

        Further Reading

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

              with monitored_session.MonitoredTrainingSession(
          is_chief=True,
          checkpoint_dir=logdir,
          chief_only_hooks=[fake_hook],
          save_checkpoint_secs=0) as session:
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 2 other locations - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 297..301
        tensorflow/python/training/monitored_session_test.py on lines 1603..1609

        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 49.

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

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

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

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

        Refactorings

        Further Reading

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

              with monitored_session.MonitoredTrainingSession(
          is_chief=True, checkpoint_dir=logdir) as session:
        self.assertEqual(0, session.run(gstep))
        self.assertEqual(1, session.run(do_step))
        self.assertEqual(2, session.run(do_step))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 2 other locations - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 427..434
        tensorflow/python/training/monitored_session_test.py on lines 1603..1609

        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 49.

        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

          if os.path.isdir(test_dir):
    for f in glob.glob('%s/*' % test_dir):
      os.remove(f)
  else:
    os.makedirs(test_dir)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/summary/writer/writer_test.py on lines 713..717

        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 49.

        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 session:
        self.assertEqual(1, session.run(do_step))
        self.assertEqual(2, session.run(do_step))
        self.assertFalse(session.should_stop())
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 2337..2340

        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 49.

        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 session:
        self.assertEqual(1, session.run(do_step))
        self.assertEqual(2, session.run(do_step))
        self.assertFalse(session.should_stop())
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 1807..1810

        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 49.

        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

                self.assertEqual([
            config_pb2.RunOptions(
                trace_level=3,
                timeout_in_ms=60000,
                output_partition_graphs=True,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 1930..1938

        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 45.

        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

                self.assertEqual([
            config_pb2.RunOptions(
                trace_level=3,
                timeout_in_ms=60000,
                output_partition_graphs=True,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 1882..1890

        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 45.

        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

              scaffold2 = monitored_session.Scaffold(
          init_op=4,
          init_feed_dict=6,
          init_fn=lambda scaffold, sess: 8,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 177..180

        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 44.

        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

              scaffold2 = monitored_session.Scaffold(
          init_op=2,
          init_feed_dict=3,
          init_fn=lambda scaffold, sess: 4,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 212..215

        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 44.

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

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

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

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

        Refactorings

        Further Reading

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

          def test_graph(self):
    with ops.Graph().as_default() as g:
      with monitored_session.MonitoredSession() as session:
        self.assertEqual(g, session.graph)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 2345..2348

        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

          def test_graph(self):
    with ops.Graph().as_default() as g:
      with monitored_session.SingularMonitoredSession() as session:
        self.assertEqual(g, session.graph)
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 1833..1836

        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

              with monitored_session.MonitoredTrainingSession(
          is_chief=True,
          checkpoint_dir=logdir,
          save_checkpoint_steps=100,
          log_step_count_steps=10) as session:
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 388..394

        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

              with monitored_session.MonitoredTrainingSession(
          is_chief=True,
          checkpoint_dir=logdir,
          save_summaries_steps=100,
          log_step_count_steps=10) as session:
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 312..318

        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

              scaffold1 = monitored_session.Scaffold(
          init_op=2,
          init_feed_dict=3,
          init_fn=lambda scaffold, sess: 4,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 145..148

        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 2 locations. Consider refactoring.
        Open

              scaffold = monitored_session.Scaffold(
          init_op=2,
          init_feed_dict=3,
          init_fn=lambda scaffold, sess: 4,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 202..205

        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 2 locations. Consider refactoring.
        Open

        class MockExtended:

  def __init__(self, between_graph, should_init, should_checkpoint,
               should_save_summary):
    self.experimental_between_graph = between_graph
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/debug/cli/command_parser.py on lines 32..36

        Duplicated Code

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

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

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

        Tuning

        This issue has a mass of 38.

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

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

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

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

        Refactorings

        Further Reading

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

              with monitored_session.MonitoredTrainingSession(
          is_chief=True,
          checkpoint_dir=logdir,
          save_summaries_steps=None,
          save_summaries_secs=0.1,
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 329..337

        Duplicated Code

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

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

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

        Tuning

        This issue has a mass of 38.

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

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

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

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

        Refactorings

        Further Reading

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

              with monitored_session.MonitoredTrainingSession(
          is_chief=True,
          checkpoint_dir=logdir,
          save_checkpoint_secs=0.1,
          log_step_count_steps=10) as session:
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 1 hr to fix
        tensorflow/python/training/monitored_session_test.py on lines 406..415

        Duplicated Code

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

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

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

        Tuning

        This issue has a mass of 38.

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

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

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

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

        Refactorings

        Further Reading

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

              with monitored_session.MonitoredSession() as session:
        self.assertEqual(0, session.run(a_var))
        self.assertTrue(g.finalized)
        Severity: Minor
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 55 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 1850..1852

        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

              with monitored_session.MonitoredSession() as session:
        self.assertEqual(0, session.run(a_var))
        self.assertTrue(g.finalized)
        Severity: Minor
        Found in tensorflow/python/training/monitored_session_test.py and 1 other location - About 55 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 1841..1843

        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 4 locations. Consider refactoring.
        Open

                if not trace_the_exception['run_already']:
          trace_the_exception['run_already'] = True
          raise errors_impl.AbortedError(None, None, 'Abort')
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 3 other locations - About 50 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 2158..2160
        tensorflow/python/training/monitored_session_test.py on lines 2209..2211
        tensorflow/python/training/monitored_session_test.py on lines 2239..2241

        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

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

                if not trace_the_exception['run_already']:
          trace_the_exception['run_already'] = True
          raise errors_impl.AbortedError(None, None, 'Abort')
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 3 other locations - About 50 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 2158..2160
        tensorflow/python/training/monitored_session_test.py on lines 2183..2185
        tensorflow/python/training/monitored_session_test.py on lines 2239..2241

        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

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

                if not trace_the_exception['run_already']:
          trace_the_exception['run_already'] = True
          raise errors_impl.AbortedError(None, None, 'Abort')
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 3 other locations - About 50 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 2183..2185
        tensorflow/python/training/monitored_session_test.py on lines 2209..2211
        tensorflow/python/training/monitored_session_test.py on lines 2239..2241

        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

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

                  if not trace_the_exception['run_already']:
            trace_the_exception['run_already'] = True
            raise errors_impl.AbortedError(None, None, 'Abort')
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 3 other locations - About 50 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 2158..2160
        tensorflow/python/training/monitored_session_test.py on lines 2183..2185
        tensorflow/python/training/monitored_session_test.py on lines 2209..2211

        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 5 locations. Consider refactoring.
        Open

              with monitored_session.MonitoredTrainingSession(
          is_chief=True, checkpoint_dir=logdir) as session:
        self.assertEqual(0, session.run(gstep))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 4 other locations - About 35 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 303..305
        tensorflow/python/training/monitored_session_test.py on lines 320..322
        tensorflow/python/training/monitored_session_test.py on lines 339..341
        tensorflow/python/training/monitored_session_test.py on lines 555..557

        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 5 locations. Consider refactoring.
        Open

              with monitored_session.MonitoredTrainingSession(
          is_chief=True, checkpoint_dir=logdir) as session:
        self.assertEqual(100, session.run(gstep))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 4 other locations - About 35 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 303..305
        tensorflow/python/training/monitored_session_test.py on lines 320..322
        tensorflow/python/training/monitored_session_test.py on lines 339..341
        tensorflow/python/training/monitored_session_test.py on lines 439..441

        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 5 locations. Consider refactoring.
        Open

              with monitored_session.MonitoredTrainingSession(
          is_chief=True, checkpoint_dir=logdir) as session:
        self.assertEqual(100, session.run(gstep))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 4 other locations - About 35 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 303..305
        tensorflow/python/training/monitored_session_test.py on lines 339..341
        tensorflow/python/training/monitored_session_test.py on lines 439..441
        tensorflow/python/training/monitored_session_test.py on lines 555..557

        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 5 locations. Consider refactoring.
        Open

              with monitored_session.MonitoredTrainingSession(
          is_chief=True, checkpoint_dir=logdir) as session:
        self.assertEqual(11, session.run(gstep))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 4 other locations - About 35 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 303..305
        tensorflow/python/training/monitored_session_test.py on lines 320..322
        tensorflow/python/training/monitored_session_test.py on lines 439..441
        tensorflow/python/training/monitored_session_test.py on lines 555..557

        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 5 locations. Consider refactoring.
        Open

              with monitored_session.MonitoredTrainingSession(
          is_chief=True, checkpoint_dir=logdir) as session:
        self.assertEqual(2, session.run(gstep))
        Severity: Major
        Found in tensorflow/python/training/monitored_session_test.py and 4 other locations - About 35 mins to fix
        tensorflow/python/training/monitored_session_test.py on lines 320..322
        tensorflow/python/training/monitored_session_test.py on lines 339..341
        tensorflow/python/training/monitored_session_test.py on lines 439..441
        tensorflow/python/training/monitored_session_test.py on lines 555..557

        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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