How to use _make_parallel_wrapper method in autotest

Best Python code snippet using autotest_python

server_job.py

Source:server_job.py

...327        """328        Return True if external logging should be used.329        """330        return False331    def _make_parallel_wrapper(self, function, machines, log):332        """Wrap function as appropriate for calling by parallel_simple."""333        is_forking = not (len(machines) == 1 and self.machines == machines)334        if self._parse_job and is_forking and log:335            def wrapper(machine):336                self._parse_job += "/" + machine337                self._using_parser = True338                self.machines = [machine]339                self.push_execution_context(machine)340                os.chdir(self.resultdir)341                utils.write_keyval(self.resultdir, {"hostname": machine})342                self.init_parser()343                result = function(machine)344                self.cleanup_parser()345                return result346        elif len(machines) > 1 and log:347            def wrapper(machine):348                self.push_execution_context(machine)349                os.chdir(self.resultdir)350                machine_data = {'hostname': machine,351                                'status_version': str(self._STATUS_VERSION)}352                utils.write_keyval(self.resultdir, machine_data)353                result = function(machine)354                return result355        else:356            wrapper = function357        return wrapper358    def parallel_simple(self, function, machines, log=True, timeout=None,359                        return_results=False):360        """361        Run 'function' using parallel_simple, with an extra wrapper to handle362        the necessary setup for continuous parsing, if possible. If continuous363        parsing is already properly initialized then this should just work.364        :param function: A callable to run in parallel given each machine.365        :param machines: A list of machine names to be passed one per subcommand366                invocation of function.367        :param log: If True, output will be written to output in a subdirectory368                named after each machine.369        :param timeout: Seconds after which the function call should timeout.370        :param return_results: If True instead of an AutoServError being raised371                on any error a list of the results|exceptions from the function372                called on each arg is returned.  [default: False]373        :raise error.AutotestError: If any of the functions failed.374        """375        wrapper = self._make_parallel_wrapper(function, machines, log)376        return subcommand.parallel_simple(wrapper, machines,377                                          log=log, timeout=timeout,378                                          return_results=return_results)379    def parallel_on_machines(self, function, machines, timeout=None):380        """381        :param function: Called in parallel with one machine as its argument.382        :param machines: A list of machines to call function(machine) on.383        :param timeout: Seconds after which the function call should timeout.384        :return: A list of machines on which function(machine) returned385                without raising an exception.386        """387        results = self.parallel_simple(function, machines, timeout=timeout,388                                       return_results=True)389        success_machines = []...

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