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flaky package from flaky repo

flaky

Third-Party Package

This third-party package's source repository does not contain a package manifest. Instead, its package manifest is stored in its release repository. In order to build this package from source in a Catkin workspace, please download its package manifest.

Package Summary

Tags No category tags.
Version 3.1.0
License Apache
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/box/flaky.git
VCS Type git
VCS Version v3.1.0
Last Updated 2016-02-11
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

Plugin for nose or py.test that automatically reruns flaky tests.

Additional Links

Maintainers

  • AlexV

Authors

No additional authors.

flaky

image

image

image

image

About

Flaky is a plugin for nose or py.test that automatically reruns flaky tests.

Ideally, tests reliably pass or fail, but sometimes test fixtures must rely on components that aren't 100% reliable. With flaky, instead of removing those tests or marking them to \@skip, they can be automatically retried.

For more information about flaky, see this presentation.

Marking tests flaky

To mark a test as flaky, simply import flaky and decorate the test with \@flaky:

``` {.sourceCode .python} from flaky import flaky



``` {.sourceCode .python}
@flaky
def test_something_that_usually_passes(self):
    value_to_double = 21
    result = get_result_from_flaky_doubler(value_to_double)
    self.assertEqual(result, value_to_double * 2, 'Result doubled incorrectly.')

By default, flaky will retry a failing test once, but that behavior can be overridden by passing values to the flaky decorator. It accepts two parameters: max_runs, and min_passes; flaky will run tests up to max_runs times, until it has succeeded min_passes times. Once a test passes min_passes times, it's considered a success; once it has been run max_runs times without passing min_passes times, it's considered a failure.

``` {.sourceCode .python} @flaky(max_runs=3, min_passes=2) def test_something_that_usually_passes(self): “"”This test must pass twice, and it can be run up to three times.””” value_to_double = 21 result = get_result_from_flaky_doubler(value_to_double) self.assertEqual(result, value_to_double * 2, ‘Result doubled incorrectly.’)


### Marking a class flaky

In addition to marking a single test flaky, entire test cases can be
marked flaky:


``` {.sourceCode .python}
@flaky
class TestMultipliers(TestCase):
    def test_flaky_doubler(self):
        value_to_double = 21
        result = get_result_from_flaky_doubler(value_to_double)
        self.assertEqual(result, value_to_double * 2, 'Result doubled incorrectly.')

    @flaky(max_runs=3)
    def test_flaky_tripler(self):
        value_to_triple = 14
        result = get_result_from_flaky_tripler(value_to_triple)
        self.assertEqual(result, value_to_triple * 3, 'Result tripled incorrectly.')

The \@flaky class decorator will mark test_flaky_doubler as flaky, but it won't override the 3 max_runs for test_flaky_tripler (from the decorator on that test method).

Don't rerun certain types of failures

Depending on your tests, some failures are obviously not due to flakiness. Instead of rerunning after those failures, you can specify a filter function that can tell flaky to fail the test right away.

``` {.sourceCode .python} def is_not_crash(err, *args): return not issubclass(err[0], ProductCrashedError)

@flaky def test_something(): raise ProductCrashedError

@flaky(rerun_filter=is_not_crash) def test_something_else(): raise ProductCrashedError


Flaky will run [test\_something]{.title-ref} twice, but will only run
[test\_something\_else]{.title-ref} once.

It can also be used to incur a delay between test retries:


``` {.sourceCode .python}
import time

def delay_rerun(*args):
    time.sleep(1)
    return True

@flaky(rerun_filter=delay_rerun)
def test_something_else():
    ...

Activating the plugin

Like any nose plugin, flaky can be activated via the command line:

``` {.sourceCode .console} nosetests –with-flaky


With py.test, flaky will automatically run. It can, however be disabled
via the command line:


``` {.sourceCode .console}
py.test -p no:flaky

Command line arguments

No Flaky Report

Pass --no-flaky-report to suppress the report at the end of the run detailing flaky test results.

Shorter Flaky Report

Pass --no-success-flaky-report to suppress information about successful flaky tests.

Force Flaky

Pass --force-flaky to treat all tests as flaky.

Pass --max-runs=MAX_RUNS and/or --min-passes=MIN_PASSES to control the behavior of flaky if --force-flaky is specified. Flaky decorators on individual tests will override these defaults.

Additional usage examples are in the code - see test/test_example.py

Installation

To install, simply:

``` {.sourceCode .console} pip install flaky


Compatibility
-------------

Flaky is tested with the following test runners and options:

-   Nosetests. Doctests cannot be marked flaky.
-   Py.test. Works with [pytest-xdist]{.title-ref} but not with the
    [\--boxed]{.title-ref} option. Doctests cannot be marked flaky.

Contributing
------------

See
[CONTRIBUTING.rst](https://github.com/box/flaky/blob/master/CONTRIBUTING.rst).

### Setup

Create a virtual environment and install packages -


``` {.sourceCode .console}
mkvirtualenv flaky
pip install -r requirements-dev.txt

Testing

Run all tests using -

``` {.sourceCode .console} tox

```

The tox tests include code style checks via pep8 and pylint.

Copyright 2015 Box, Inc. All rights reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
CHANGELOG
No CHANGELOG found.

Wiki Tutorials

This package does not provide any links to tutorials in it's rosindex metadata. You can check on the ROS Wiki Tutorials page for the package.

Package Dependencies

System Dependencies

No direct system dependencies.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged flaky at Robotics Stack Exchange

flaky package from flaky repo

flaky

Third-Party Package

This third-party package's source repository does not contain a package manifest. Instead, its package manifest is stored in its release repository. In order to build this package from source in a Catkin workspace, please download its package manifest.

Package Summary

Tags No category tags.
Version 3.1.0
License Apache
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/box/flaky.git
VCS Type git
VCS Version v3.1.0
Last Updated 2016-02-11
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

Plugin for nose or py.test that automatically reruns flaky tests.

Additional Links

Maintainers

  • AlexV

Authors

No additional authors.

flaky

image

image

image

image

About

Flaky is a plugin for nose or py.test that automatically reruns flaky tests.

Ideally, tests reliably pass or fail, but sometimes test fixtures must rely on components that aren't 100% reliable. With flaky, instead of removing those tests or marking them to \@skip, they can be automatically retried.

For more information about flaky, see this presentation.

Marking tests flaky

To mark a test as flaky, simply import flaky and decorate the test with \@flaky:

``` {.sourceCode .python} from flaky import flaky



``` {.sourceCode .python}
@flaky
def test_something_that_usually_passes(self):
    value_to_double = 21
    result = get_result_from_flaky_doubler(value_to_double)
    self.assertEqual(result, value_to_double * 2, 'Result doubled incorrectly.')

By default, flaky will retry a failing test once, but that behavior can be overridden by passing values to the flaky decorator. It accepts two parameters: max_runs, and min_passes; flaky will run tests up to max_runs times, until it has succeeded min_passes times. Once a test passes min_passes times, it's considered a success; once it has been run max_runs times without passing min_passes times, it's considered a failure.

``` {.sourceCode .python} @flaky(max_runs=3, min_passes=2) def test_something_that_usually_passes(self): “"”This test must pass twice, and it can be run up to three times.””” value_to_double = 21 result = get_result_from_flaky_doubler(value_to_double) self.assertEqual(result, value_to_double * 2, ‘Result doubled incorrectly.’)


### Marking a class flaky

In addition to marking a single test flaky, entire test cases can be
marked flaky:


``` {.sourceCode .python}
@flaky
class TestMultipliers(TestCase):
    def test_flaky_doubler(self):
        value_to_double = 21
        result = get_result_from_flaky_doubler(value_to_double)
        self.assertEqual(result, value_to_double * 2, 'Result doubled incorrectly.')

    @flaky(max_runs=3)
    def test_flaky_tripler(self):
        value_to_triple = 14
        result = get_result_from_flaky_tripler(value_to_triple)
        self.assertEqual(result, value_to_triple * 3, 'Result tripled incorrectly.')

The \@flaky class decorator will mark test_flaky_doubler as flaky, but it won't override the 3 max_runs for test_flaky_tripler (from the decorator on that test method).

Don't rerun certain types of failures

Depending on your tests, some failures are obviously not due to flakiness. Instead of rerunning after those failures, you can specify a filter function that can tell flaky to fail the test right away.

``` {.sourceCode .python} def is_not_crash(err, *args): return not issubclass(err[0], ProductCrashedError)

@flaky def test_something(): raise ProductCrashedError

@flaky(rerun_filter=is_not_crash) def test_something_else(): raise ProductCrashedError


Flaky will run [test\_something]{.title-ref} twice, but will only run
[test\_something\_else]{.title-ref} once.

It can also be used to incur a delay between test retries:


``` {.sourceCode .python}
import time

def delay_rerun(*args):
    time.sleep(1)
    return True

@flaky(rerun_filter=delay_rerun)
def test_something_else():
    ...

Activating the plugin

Like any nose plugin, flaky can be activated via the command line:

``` {.sourceCode .console} nosetests –with-flaky


With py.test, flaky will automatically run. It can, however be disabled
via the command line:


``` {.sourceCode .console}
py.test -p no:flaky

Command line arguments

No Flaky Report

Pass --no-flaky-report to suppress the report at the end of the run detailing flaky test results.

Shorter Flaky Report

Pass --no-success-flaky-report to suppress information about successful flaky tests.

Force Flaky

Pass --force-flaky to treat all tests as flaky.

Pass --max-runs=MAX_RUNS and/or --min-passes=MIN_PASSES to control the behavior of flaky if --force-flaky is specified. Flaky decorators on individual tests will override these defaults.

Additional usage examples are in the code - see test/test_example.py

Installation

To install, simply:

``` {.sourceCode .console} pip install flaky


Compatibility
-------------

Flaky is tested with the following test runners and options:

-   Nosetests. Doctests cannot be marked flaky.
-   Py.test. Works with [pytest-xdist]{.title-ref} but not with the
    [\--boxed]{.title-ref} option. Doctests cannot be marked flaky.

Contributing
------------

See
[CONTRIBUTING.rst](https://github.com/box/flaky/blob/master/CONTRIBUTING.rst).

### Setup

Create a virtual environment and install packages -


``` {.sourceCode .console}
mkvirtualenv flaky
pip install -r requirements-dev.txt

Testing

Run all tests using -

``` {.sourceCode .console} tox

```

The tox tests include code style checks via pep8 and pylint.

Copyright 2015 Box, Inc. All rights reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
CHANGELOG
No CHANGELOG found.

Wiki Tutorials

This package does not provide any links to tutorials in it's rosindex metadata. You can check on the ROS Wiki Tutorials page for the package.

Package Dependencies

System Dependencies

No direct system dependencies.

Dependant Packages

No known dependants.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged flaky at Robotics Stack Exchange

No version for distro hydro. Known supported distros are highlighted in the buttons above.
No version for distro kinetic. Known supported distros are highlighted in the buttons above.
No version for distro melodic. Known supported distros are highlighted in the buttons above.