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Automated Tests

Both unit tests and functional tests are used to verify pyOCD.

The primary difference between unit tests and functional tests is that unit tests will work without a debug probe connected. Some unit tests do take advantage of a connected probe to expand testing, but those tests will be skipped if no probe is present. In contrast, all functional tests require at least one probe to be connected.

Unit tests

The unit tests are located in the pyocd/tests/ directory of the repo. They must be executed using pytest, as they rely on the advanced capabilities of this tool.

To run the unit tests, simply invoke pytest in the root directory of the repo. Read the pytest usage to see the many options it provides.

To get code coverage results, do the following:

$ pytest --cov-report=html --cov=pyocd
$ firefox htmlcov/index.html

Functional tests

A series of quite comprehensive functional tests are provided in the test/ directory. The primary script for running these tests is automated_test.py. It will execute all functional tests in sequence for all connected debug probes, then produce a summary and JUnit-style XML report. This script is used to execute our CI test plan, and we frequently use it on our personal development systems to test prior to creating pull requests.

Functional tests:

  • basic_test.py: a simple test that checks a range of basic functionality, from flash programming to accessing memory and core registers.
  • blank_test.py: tests ability to connect to devices with with blank flash. (Not run by automated_test.py.)
  • connect_test.py: tests all combinations of the halt on connect and disconnect resume options.
  • cortex_test.py: validates CPU control operations and memory accesses.
  • flash_test.py: comprehensive test of flash programming.
  • gdb_server_json_test.py: validates the JSON output from pyocd-gdbserver used by tools like the GNU MCU Eclipse pyOCD plugin.
  • gdb_test.py: tests the gdbserver by running a script in a gdb process.
  • parallel_test.py: checks for issues with accessing debug probes from multiple processes and threads simultaneously. (Not run by automated_test.py.)
  • speed_test.py: performance test for memory reads and writes.