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Test environment

Environment is built around Python pytest framework - it offers some nice and easy to use tools for test execution control and parametrization out of the box.

Current workflow is based on the pyhdlsim example - sim.py is a wrapper around HDL simulators and test_*.py files contain tests.

Tested on:

  • Windows 10, Python 3.8, Modelsim 10.6d
  • Ubuntu 20.04, Python 3.8, Modelsim 2020.02

Requirements

Several Python modules are required:

python3 -m pip install pytest pytest-xdist

Frequently used commands

All the commands are invoked from the tests directory.

List all tests:

pytest --collect-only -q

Run all tests on all available cores in parallel:

pytest -v -n auto

Run only tests that have SINGLE and 60e6 substrings in their name:

pytest -v -n auto -k "SINGLE and 60e6"

Run "default" test with no parametrization to debug the testbench inside the simulator GUI:

pytest -v test_245sync.py::test_debug --gui

Run specific test using it's full name:

pytest -v test_245sync.py::test[SINGLE_CLK_DOMAIN-DATA_W=32-FIFO_CLK_FREQ=48e6-FT_CLK_FREQ=100e6-TESTCASE=test_read_corners]

Run specific test inside the simulator GUI (helpful for failed tests debugging):

pytest -v --gui test_245sync.py::test[SINGLE_CLK_DOMAIN-DATA_W=32-FIFO_CLK_FREQ=48e6-FT_CLK_FREQ=100e6-TESTCASE=test_read_corners]

Run tests in the specified simulator (also compatible with variants above):

pytest -v -n auto --sim vivado