zephyr/tests/kernel/timer/timer_behavior
Daniel Leung 38825c0ac5 tests: timer_behavior: use fabs() instead of abs()
abs() takes integer as argument but time_diff_us is of double.
So use fabs() instead.

Signed-off-by: Daniel Leung <daniel.leung@intel.com>
2024-10-30 16:31:15 -05:00
..
boards
dts/bindings
pytest
src
CMakeLists.txt
Kconfig
README
prj.conf
testcase.yaml

README

# Test a timer implementations variance and long term drift

Records and calculates statistical values against a timer validating that.

1. Timer variance and standard deviation is below defined acceptable values.
2. Periodic timers do not drift in either direction from expected total time.

Timers are meant to be precise and accurate. This test validates an implementation is both.

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External tool testing

It's also possible to use an external tool, such as a logic analyzer, to
collect samples. The "kernel.timer.timer_behavior_external" test will toggle a
GPIO pin on every cycle - first cycle will be a rising edge. This test expects
a Python module to interface with the external tool, which will provide the
necessary statistics that the test will use to assert the test status.

GPIO pin

To enable external tool testing on a board, it must provide the compatible
"test-kernel-timer-behavior-external", with property "timeout-gpios" being the
GPIO pin that will be toggled each period.

External tool interface

In order to get data from the external tool, the test expects a Python module,
named on testcase.yaml, with the following interface:

    run(seconds: float, options: str) -> {}, int

The `seconds` parameter defines for how long the data collection is expected
to run; `options` is a string defined on testcase.yaml with options known to
the external tool helper module. It should return a tuple with a dictionary
for the following time statistics, in seconds:

    'mean':         Mean time of each period
    'stddev':       Standard deviation from the mean time
    'var':          Variance from the mean time
    'min':          Minimum period registered
    'max':          Maximum period registered
    'total_time':   Total time, between first and last period.

and an integer value of how many data values are collected for the statistics.

Note that the collection may need to go a bit after the "seconds" parameter,
to account for expected drift in the test and between the DUT and the external
tool.

One can check `pytest/saleae_logic2.py` file as a sample of external tool
helper module.

Twister

For Twister execute the external tool testing, the fixture "gpio_timerout"
must be available on the device. Also, testcase.yaml
"harness_config/pytest_args" from "kernel.timer.timer_behavior_external" must
have parameters "tool", with the name of a loadable Python module and
"tool-options", a string with options passed to the Python module helper.

Check testcase.yaml for an example using the saleae_logic2 module.

Configuration options

At its heart, the external testing is actually comparing two clocks: one on
the board under test and one at the external tool (Zephyr implementation of
the timer also plays a role, and it's the real target of the test, but it
depends on the board's clock). Different clocks run at different speeds, so
they tend to drift. To be able to account for this drift, the external test
doesn't reuse CONFIG_TIMER_TEST_MAX_DRIFT and
CONFIG_TIMER_TEST_PERIOD_MAX_DRIFT_PERCENT, instead introducing
CONFIG_TIMER_EXTERNAL_TEST_MAX_DRIFT_PPM and
CONFIG_TIMER_EXTERNAL_TEST_PERIOD_MAX_DRIFT_PPM, that can be more finely tuned
for the hardware in question.

Also, CONFIG_TIMER_EXTERNAL_TEST_SYNC_DELAY is used to set a delay before a
test cycle starts, so that the external tool can be set up.

Dependencies

The external tool interface may have its own dependencies. For instance,
the saleae_logic2 module ones are listed at pytest/requirements-saleae.txt.
One can install them with pip (possibly in some virtual environment):

    pip install -r pytest/requirements-saleae.txt