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Add a test that verifies the Tux logo is displayed on the framebuffer. We simply follow the OpenCV "Template Matching with Multiple Objects" tutorial, replacing Lionel Messi by Tux: https://docs.opencv.org/4.2.0/d4/dc6/tutorial_py_template_matching.html When OpenCV and NumPy are installed, this test can be run using: $ AVOCADO_ALLOW_UNTRUSTED_CODE=hmmm \ avocado --show=app,framebuffer run -t device:framebuffer \ tests/acceptance/machine_arm_integratorcp.py JOB ID : 8c46b0f8269242e87d738247883ea2a470df949e JOB LOG : avocado/job-results/job-2020-01-31T21.38-8c46b0f/job.log (1/1) tests/acceptance/machine_arm_integratorcp.py:IntegratorMachine.test_framebuffer_tux_logo: framebuffer: found Tux at position [x, y] = (0, 0) PASS (3.96 s) RESULTS : PASS 1 | ERROR 0 | FAIL 0 | SKIP 0 | WARN 0 | INTERRUPT 0 | CANCEL 0 JOB TIME : 4.23 s Signed-off-by: Philippe Mathieu-Daudé <f4bug@amsat.org> Reviewed-by: Wainer dos Santos Moschetta <wainersm@redhat.com> Message-id: 20200225172501.29609-5-philmd@redhat.com Message-Id: <20200131211102.29612-3-f4bug@amsat.org> Signed-off-by: Philippe Mathieu-Daudé <f4bug@amsat.org> Signed-off-by: Peter Maydell <peter.maydell@linaro.org>
============================================ Acceptance tests using the Avocado Framework ============================================ This directory contains functional tests, also known as acceptance level tests. They're usually higher level, and may interact with external resources and with various guest operating systems. For more information, please refer to ``docs/devel/testing.rst``, section "Acceptance tests using the Avocado Framework".