I'm not sure I undertand this. I think the limitation for
non-concurrent tests is that they cannot be concurrently, because they
do front buffer rendering and other things. That doesn't mean all the
off-screen tests cannot be run with the non-concurrent tests
simultaneously.

Marek

On Thu, Apr 17, 2014 at 10:59 PM, Dylan Baker <baker.dyla...@gmail.com> wrote:
> Currently we call join after initializing both of the pools, which means
> that they run simultaneously. This patch fixes that by creating a helper
> function which sets off the pool, closes it, and then joins it. This
> fixes the problem by forcing each pool to run in series.
>
> Signed-off-by: Dylan Baker <baker.dyla...@gmail.com>
> ---
>  framework/profile.py | 29 ++++++++++++++---------------
>  1 file changed, 14 insertions(+), 15 deletions(-)
>
> diff --git a/framework/profile.py b/framework/profile.py
> index 2e160e3..3def3e0 100644
> --- a/framework/profile.py
> +++ b/framework/profile.py
> @@ -119,6 +119,8 @@ class TestProfile(object):
>          self.prepare_test_list(env)
>          log = Log(len(self.test_list), env.verbose)
>
> +        chunksize = 1
> +
>          def test(pair):
>              """ Function to call test.execute from .map
>
> @@ -128,33 +130,30 @@ class TestProfile(object):
>              name, test = pair
>              test.execute(name, log, json_writer, self.dmesg)
>
> +        def run_threads(pool, testlist):
> +            """ Open a pool, close it, and join it """
> +            pool.imap(test, testlist, chunksize)
> +            pool.close()
> +            pool.join()
> +
>          # Multiprocessing.dummy is a wrapper around Threading that provides a
>          # multiprocessing compatible API
>          #
>          # The default value of pool is the number of virtual processor cores
>          single = multiprocessing.dummy.Pool(1)
>          multi = multiprocessing.dummy.Pool()
> -        chunksize = 1
>
>          if env.concurrent == "all":
> -            multi.imap(test, self.test_list.iteritems(), chunksize)
> +            run_threads(multi, self.test_list.iteritems())
>          elif env.concurrent == "none":
> -            single.imap(test, self.test_list.iteritems(), chunksize)
> +            run_threads(single, self.test_list.iteritems())
>          else:
>              # Filter and return only thread safe tests to the threaded pool
> -            multi.imap(test, (x for x in self.test_list.iteritems() if
> -                              x[1].run_concurrent), chunksize)
> +            run_threads(multi, (x for x in self.test_list.iteritems() if
> +                                x[1].run_concurrent))
>              # Filter and return the non thread safe tests to the single pool
> -            single.imap(test, (x for x in self.test_list.iteritems() if not
> -                               x[1].run_concurrent), chunksize)
> -
> -        # Close and join the pools
> -        # If we don't close and the join the pools the script will exit 
> before
> -        # the pools finish running
> -        multi.close()
> -        single.close()
> -        multi.join()
> -        single.join()
> +            run_threads(multi, (x for x in self.test_list.iteritems() if not
> +                                x[1].run_concurrent))
>
>          log.summary()
>
> --
> 1.9.2
>
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