when esp_event_handler_unregister_with_internal cannot take
the loop mutex (e.g., when the handler unregisters itself),
create an event with a special base identifier and add it to
the queue of the corresponding loop to postpone the removal
of the handler from the list at a time when the loop mutex can be
successfully taken.
handler_execute function is looking to match the handler only in the
list of loop events but does not look in the base event handler list
nor the id event handler list. So unless the event handler is
registered to be triggered for all event bases and all event ids of
an event loop, its profiling fields (invoked and time) are not updated
when it is called.
This commit updates the search for the matching handler to also look
in base event list and ID event list.
Closes https://github.com/espressif/esp-idf/issues/15041
* Decomposed tests into atomic unit tests
* Made tests less time-dependent, hence more robust
on different platforms (ESP32, QEMU, Linux)
* Ported most of the tests to linux
* Removed some redundant tests
* Fixed bug the tests discovered
* Simplified parts of the tests to be more clear
* Partially used C++ to simplify setup/teardown
* Unified setup/teardown in general
* Description of unregistering was incorrect
* Made clear that event loop arg mustn't be NULL
* Added parameter check in create function
Closes https://github.com/espressif/esp-idf/issues/6761
Closes IDFGH-4969
When a handler instance is the last one in the list und unregisters
itself, the handler iterator will be invalidated by entering free'd
memory. Same applies for event base and id, if they become empty.
Merges https://github.com/espressif/esp-idf/pull/4139
Fixes an issue with post instance data preparation. Currently, there is
no way to check if event data has really been set during handler
execution preparation. When data is not allocated from the heap, user
could have passed 0x0 which can lead to failed checks.
This also implements using the already allocated data memory for posting
events from non-ISR functions when data size is less than the capacity.
