A simple python testing framework that can run unit tests under MPI (or not).
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testflo
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DESIGN.txt
LICENSE.txt
README.md
RELEASE_NOTES.txt
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setup.py

README.md

testflo

testflo is a python testing framework that uses a pipeline of iterators to process test specifications, run the tests, and process the results.

Why write another testing framework?

testflo was written to support testing of the OpenMDAO framework. Some OpenMDAO features require execution under MPI while some others don't, so we wanted a testing framework that could run all of our tests in the same way and would allow us to build all of our tests using unittest.TestCase objects that we were already familiar with. The MPI testing functionality was originally implemented using the nose testing framework. It worked, but was always buggy, and the size and complexity of the nose framework made it difficult to know exactly what was going on.

Enter testflo, an attempt to build a simpler testing framework that would have the basic functionality of other test frameworks, with the additional ability to run MPI unit tests that are very similar to regular unit tests.

Some testflo features

  • MPI unit testing
  • pre_announce option to print test name before running in order to quickly identify hanging MPI tests
  • concurrent testing (on by default, use '-n 1' to turn it off)
  • test coverage
  • flexible execution - can be given a directory, a file, a module path, file:testcase.method, module:testcase.method, or a file containing a list of any of the above. Has options to generate test list files containing all failed tests or all tests that execute within a certain time limit.
  • end of testing summary

Usage

For a full list of testflo options, execute the following:

testflo -h

NOTE: Because testflo runs tests concurrently by default, your tests must be written with concurrency in mind or they may fail. For example, if multiple tests write output to a file with the same name, you have to make sure that those tests are executed in different directories to prevent that file from being corrupted. If your tests are not written to run concurrently, you can always just run them with testflo -n 1 and run them in serial instead.

The following is an example of what an MPI unit test looks like. To tell testflo that a TestCase is an MPI TestCase, you add a class attribute called N_PROCS to it and set it to the number of MPI processes to use for the test. That's all there is to it. Of course, depending on what sort of MPI code you're testing, it's up to you to potentially test for different things on different ranks.

class MyMPI_TestCase(TestCase):

    N_PROCS = 4  # this is how many MPI processes to use for this TestCase.

    def test_foo(self):

        # do your MPI testing here, e.g.,

        if self.comm.rank == 0:
            # some test only valid on rank 0...

Here's an example of testflo output for openmdao.core:


openmdao$ testflo openmdao.core
............................................................................
............................................................................
............................................................................
..............................

OK

Passed:  258
Failed:  0
Skipped: 0


Ran 258 tests using 8 processes
Sum of test times: 00:00:6.09
Wall clock time:   00:00:1.82
Speedup: 3.347731

Running testflo in verbose mode on openmdao.core.test.test_problem is shown below. The verbose output contains the full test name as well as the elapsed time and memory usage.


openmdao$ testflo openmdao.core.test.test_problem -v
openmdao.core.test.test_problem:TestCheckSetup.test_pbo_messages ... OK (00:00:0.02, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_check_promotes ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_conflicting_connections ... OK (00:00:0.02, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_conflicting_promoted_state_vars ... OK (00:00:0.00, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_conflicting_promotions ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestCheckSetup.test_out_of_order ... OK (00:00:0.02, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_explicit_connection_errors ... OK (00:00:0.02, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_find_subsystem ... OK (00:00:0.00, 69 MB)
openmdao.core.test.test_problem:TestCheckSetup.test_cycle ... OK (00:00:0.06, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_input_input_explicit_conns_no_conn ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_illegal_desvar ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_input_input_explicit_conns_w_conn ... OK (00:00:0.02, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_check_connections ... OK (00:00:0.06, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_mode_auto ... OK (00:00:0.03, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_check_parallel_derivs ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_simplest_run ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_basic_run ... OK (00:00:0.03, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_change_solver_after_setup ... OK (00:00:0.04, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_no_vecs ... OK (00:00:0.08, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_src_idx_gt_src_size ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_src_idx_neg ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_simplest_run_w_promote ... OK (00:00:0.02, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_unconnected_param_access ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_variable_access_before_setup ... OK (00:00:0.00, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_scalar_sizes ... OK (00:00:0.07, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_byobj_run ... OK (00:00:0.01, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_error_change_after_setup ... OK (00:00:0.31, 70 MB)
openmdao.core.test.test_problem:TestProblem.test_unconnected_param_access_with_promotes ... OK (00:00:0.04, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_variable_access ... OK (00:00:0.06, 69 MB)
openmdao.core.test.test_problem:TestProblem.test_iprint ... OK (00:00:0.25, 73 MB)


OK

Passed:  30
Failed:  0
Skipped: 0


Ran 30 tests using 8 processes
Sum of test times: 00:00:1.24
Wall clock time:   00:00:1.17
Speedup: 1.054168

Operating Systems and Python Versions

testflo is used to test OpenMDAO as part of its CI process, so we run it nearly every day on linux, Windows and OS X under python 2.7 and 3.5.

You can install testflo directly from github using the following command:

pip install git+https://github.com/OpenMDAO/testflo.git

or install from PYPI using:

pip install testflo

If you try it out and find any problems, submit them as issues on github at https://github.com/OpenMDAO/testflo.