blob: ba9b919f50ebbb35d60c6a8ac896db09a930c6b5 [file] [log] [blame]
The functions in this module are meant to run on a separate worker process.
Exception: in single process mode _execute is called directly.
For efficiency, we copy all data needed to execute all tests into each worker
and store it in global variables. This reduces the cost of each task.
import contextlib
import os
import signal
import time
import traceback
import lit.Test
import lit.util
_lit_config = None
_parallelism_semaphores = None
def initialize(lit_config, parallelism_semaphores):
"""Copy data shared by all test executions into worker processes"""
global _lit_config
global _parallelism_semaphores
_lit_config = lit_config
_parallelism_semaphores = parallelism_semaphores
# We use the following strategy for dealing with Ctrl+C/KeyboardInterrupt in
# subprocesses created by the multiprocessing.Pool.
signal.signal(signal.SIGINT, signal.SIG_IGN)
def execute(test):
"""Run one test in a multiprocessing.Pool
Side effects in this function and functions it calls are not visible in the
main lit process.
Arguments and results of this function are pickled, so they should be cheap
to copy.
with _get_parallelism_semaphore(test):
result = _execute(test, _lit_config)
return test
# TODO(python3): replace with contextlib.nullcontext
def NopSemaphore():
def _get_parallelism_semaphore(test):
pg = test.config.parallelism_group
if callable(pg):
pg = pg(test)
return _parallelism_semaphores.get(pg, NopSemaphore())
# Do not inline! Directly used by
def _execute(test, lit_config):
start = time.time()
result = _execute_test_handle_errors(test, lit_config)
result.elapsed = time.time() - start
result.start = start = os.getpid()
return result
def _execute_test_handle_errors(test, lit_config):
result = test.config.test_format.execute(test, lit_config)
return _adapt_result(result)
if lit_config.debug:
output = 'Exception during script execution:\n'
output += traceback.format_exc()
output += '\n'
return lit.Test.Result(lit.Test.UNRESOLVED, output)
# Support deprecated result from execute() which returned the result
# code and additional output as a tuple.
def _adapt_result(result):
if isinstance(result, lit.Test.Result):
return result
assert isinstance(result, tuple)
code, output = result
return lit.Test.Result(code, output)