How to use _launch method in Playwright Python

Best Python code snippet using playwright-python

rapp.py

Source:rapp.py Github

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1#2# License: BSD3# https://raw.github.com/robotics-in-py/rocon_app_platform/license/LICENSE4#5##############################################################################6# Imports7##############################################################################8import copy9import os10import subprocess11import tempfile12import rospy13import traceback14import rocon_python_utils15import rocon_app_manager_msgs.msg as rapp_manager_msgs16import rocon_std_msgs.msg as rocon_std_msgs17from .exceptions import MissingCapabilitiesException18from . import utils19##############################################################################20# Class21##############################################################################22class Rapp(object):23 '''24 Got many inspiration and imported from willow_app_manager implementation25 '''26 # standard args that can be put inside a rapp launcher, the rapp manager27 # will fill these args in when starting the rapp28 def __init__(self, rapp_specification):29 self._connections = _create_empty_connection_type_dictionary()30 self._raw_data = rapp_specification31 self.data = rapp_specification.data32 self.data['status'] = 'Ready'33 self.data['published_interfaces'] = []34 self.data['published_parameters'] = {}35 self.data['implementations'] = []36 def __repr__(self):37 string = ''38 for d in self.data:39 string += d + ' : ' + str(self.data[d]) + '\n'40 return string41 def to_msg(self):42 '''43 Converts this app definition to ros msg format.44 :returns: ros message format of Rapp45 :rtype: rocon_app_manager_msgs.Rapp46 '''47 a = rapp_manager_msgs.Rapp()48 a.name = self.data['name']49 a.display_name = self.data['display_name']50 a.description = self.data['description']51 a.compatibility = self.data['compatibility']52 a.status = self.data['status']53 a.icon = rocon_python_utils.ros.icon_to_msg(self.data['icon'])54 a.implementations = []55 key = 'public_interface'56 if key in self.data:57 a.public_interface = [rocon_std_msgs.KeyValue(key, str(val)) for key, val in self.data[key].items()]58 key = 'public_parameters'59 if key in self.data:60 a.public_parameters = [rocon_std_msgs.KeyValue(str(key), str(val)) for key, val in self.data[key].items()]61 return a62 def install(self, dependency_checker):63 '''64 Installs all dependencies of the specified rapp65 :param dependency_checker: DependencyChecker object for installation of the rapp dependencies66 :type dependency_checker: :py:class:`rocon_app_utilities.rapp_repositories.DependencyChecker`67 :returns: A C{tuple} of a flag for the installation success and a string containing the reason of failure68 :rtype: C{tuple}69 '''70 success = False71 # Trigger the installation of all rapp dependencies72 rapps = []73 rapps.append(self.data['name'])74 try:75 dependency_checker.install_rapp_dependencies(rapps)76 except Exception as e:77 return success, str(e)78 # Update the rospack cache79 devnull = open(os.devnull, 'w')80 subprocess.call(['rospack', 'profile'], stdout=devnull, stderr=subprocess.STDOUT)81 devnull = devnull.close()82 success = True83 return success, str()84 def published_interfaces_to_msg_list(self):85 '''86 Convert the published interfaces as a rocon_app_manager_msgs.PublishedInterface list.87 '''88 return self.data['published_interfaces']89 def published_parameters_to_msg_list(self):90 '''91 Convert the published parameters as a rocon_std_msgs.KeyValue list.92 '''93 return utils.dict_to_key_value_msg(self.data['published_parameters'])94 def start(self, launch_arg_mappings, remappings=[], parameters=[], force_screen=False, caps_list=None):95 '''96 Some important jobs here.97 1) run the rapp launcher under the unique robot name namespace98 This guarantees that flipped entities generate unique node id's that won't collide when communicating99 with each other (refer to https://github.com/robotics-in-py/rocon_multimaster/issues/136).100 2) Apply remapping rules while ignoring the namespace underneath.101 :param utils.LaunchArgMappings launch_arg_mappings : args to be passed down from the rapp manager to rapp102 :param remapping: rules for the app flips.103 :type remapping: list of rocon_std_msgs.msg.Remapping values.104 :param parameters: requested public_parameters105 :type parameters: list of rocon_std_msgs.msg.KeyValue106 :param bool force_screen: whether to roslaunch the app with --screen or not107 :param caps_list: this holds the list of available capabilities, if app needs capabilities108 :type caps_list: CapsList109 '''110 data = self.data111 application_namespace = launch_arg_mappings.application_namespace112 try:113 published_parameters = utils.apply_requested_public_parameters(data['public_parameters'], parameters)114 temp = tempfile.NamedTemporaryFile(mode='w+t', delete=False)115 self._launch = utils.prepare_launcher(data, published_parameters, force_screen, launch_arg_mappings, temp)116 # Better logic for the future, 1) get remap rules from capabilities. 2) get remap rules from requets. 3) apply them all. It would be clearer to understand the logic and easily upgradable117 if 'required_capabilities' in data: # apply capability-specific remappings needed118 utils.apply_remapping_rules_from_capabilities(self._launch, data, caps_list)119 self._connections, published_interfaces = utils.apply_remapping_rules_from_start_app_request(self._launch, data, remappings, application_namespace)120 utils.resolve_chain_remappings(self._launch.config.nodes)121 self._launch.start()122 data['status'] = 'Running'123 data['published_parameters'] = published_parameters124 data['published_interfaces'] = published_interfaces125 connections = copy.deepcopy(self._connections)126 return True, "Success", connections127 # return True, "Success", self._connections['subscribers'], self._connections['publishers'], \128 # self._connections['services'], self._connections['action_clients'], self._connections['action_servers']129 except rospy.ServiceException as e:130 rospy.logerr("App Manager : Couldn't get cap remappings. Error: " + str(e))131 return False, "Error while launching " + data['name'], _create_empty_connection_type_dictionary()132 except MissingCapabilitiesException as e:133 rospy.logerr("Rapp Manager : couldn't get capability remappings. Error: " + str(e))134 return False, "Error while launching " + data['name'], _create_empty_connection_type_dictionary()135 except Exception as e:136 traceback.print_stack()137 rospy.logerr("Rapp Manager : error while launching " + data['launch'] + " : " + str(e))138 data['status'] = "Error while launching " + data['launch']139 return False, "Error while launching " + data['name'], _create_empty_connection_type_dictionary()140 finally:141 os.unlink(temp.name)142 def stop(self):143 data = self.data144 connections = copy.deepcopy(self._connections)145 try:146 if self._launch:147 try:148 self._launch.shutdown()149 finally:150 self._launch = None151 data['status'] = 'Ready'152 data['published_parameters'] = {}153 data['published_interfaces'] = []154 rospy.loginfo("Rapp Manager : stopped rapp [%s]" % data['name'] + "'.")155 except Exception as e:156 print str(e)157 error_msg = "Error while stopping rapp '" + data['name'] + "'."158 rospy.loginfo(error_msg)159 data['status'] = 'Error'160 return False, error_msg, connections161 return True, "Success", connections162 def is_running(self):163 '''164 Is the rapp both launched and currently running?165 Actually three possible states 1) not launched 2) running, 3) stopped166 Could acutally return a tertiary value, but rapp manager doesn't need167 to make any decision making about that (for now), so just return168 running or not.169 Used by the rapp_manager_script.170 :returns: True if the rapp is executing or False otherwise.171 :rtype: Bool172 '''173 if not self._launch:174 return False175 elif self._launch.pm and self._launch.pm.done:176 # time.sleep(1.0) # do we need this sleep?177 return False178 return True179##############################################################################180# Utilities181##############################################################################182def convert_rapps_from_rapp_specs(rapp_specs):183 '''184 Converts rocon_app_utilities.Rapp into rocon_app_manager.Rapp185 :param rapp_specs: dict of rapp specification186 :type rapp_specs: {ancestor_name: rocon_app_utilities.Rapp}187 :returns: runnable rapps188 :rtype: {ancestor_name:rocon_app_manager.Rapp}189 '''190 runnable_rapps = {}191 for name, spec in rapp_specs.items():192 r = Rapp(spec)193 r.data['ancestor_name'] = spec.ancestor_name194 runnable_rapps[name] = r195 return runnable_rapps196def _create_empty_connection_type_dictionary():197 '''198 Initialise connections which use as public interface199 :returns: dict of connections with empty list200 :rtype: {connection_type: list}201 '''202 PUBLIC_CONNECTION_TYPES = ['publishers', 'subscribers', 'services', 'action_clients', 'action_servers']203 connections = {}204 for connection_type in PUBLIC_CONNECTION_TYPES:205 connections[connection_type] = []...

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test_distributed.py

Source:test_distributed.py Github

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...81 module = DistributedDataParallel(module, **args)82 output = step(module, input)83 grads = {n: p.grad for n, p in module.named_parameters()}84 return output.detach(), module.state_dict(), grads85def _launch(inputs,86 modules=None,87 args=None,88 step=Steps._step,89 device_type="cpu"):90 procs = []91 with tempfile.TemporaryDirectory() as tmpdir, context.Pool(2) as pool:92 if modules is None:93 modules = [MyModule(), MyModule()]94 if args is None:95 args = {}96 file = os.path.join(tmpdir, "init")97 for i, (input, module) in enumerate(zip(inputs, modules)):98 p = pool.apply_async(99 _run,100 args=(file, input, module, i, args, step,101 device_type))102 procs.append(p)103 return [p.get() for p in procs]104def _device_types():105 retval = ["cpu"]106 if torch.cuda.is_available() and torch.cuda.device_count() >= 2:107 retval.append("cuda")108 return retval109@pytest.mark.skipif(110 sys.platform == 'win32',111 reason='DDP not fully supported on Windows')112class TestDistributedDataParallel:113 def test_save_load(self):114 module = MyModule()115 with_ddp = DistributedDataParallel(module)116 assert module.state_dict().keys() == with_ddp.state_dict().keys()117 module.load_state_dict(with_ddp.state_dict())118 assert np.array_equal(module.state_dict()["param0"],119 with_ddp.state_dict()["param0"])120 assert np.array_equal(module.state_dict()["param1"],121 with_ddp.state_dict()["param1"])122 assert np.array_equal(module.state_dict()["buffer"],123 with_ddp.state_dict()["buffer"])124 @pytest.mark.parametrize('device_type', _device_types())125 def test_sync_init_params(self, device_type):126 module0 = MyModule()127 module0.param0.data = torch.tensor([1.])128 r0, r1 = _launch(129 inputs=[torch.tensor([1.]), torch.tensor([2.])],130 modules=[module0, MyModule()],131 device_type=device_type)132 assert r0[0].item() == 1133 assert r1[0].item() == 2134 assert r0[1]["param0"].item() == 1.0135 assert r1[1]["param0"].item() == 1.0136 @pytest.mark.parametrize('device_type', _device_types())137 def test_all_reduce(self, device_type):138 r0, r1 = _launch(139 inputs=[torch.tensor([1.]), torch.tensor([2.])],140 device_type=device_type)141 assert r0[0].item() == -1142 assert r1[0].item() == -2143 assert r0[2]["module.param0"].item() == 1.5144 assert r1[2]["module.param0"].item() == 1.5145 assert r0[2]["module.param1"] is None146 assert r1[2]["module.param1"] is None147 @pytest.mark.parametrize('device_type', _device_types())148 def test_specific_reduce(self, device_type):149 r0, r1 = _launch(150 inputs=[torch.tensor([1.]), torch.tensor([2.])],151 args={"reduce_function": Collectives._to_zero},152 device_type=device_type)153 assert r0[2]["module.param0"].item() == 0.0154 assert r1[2]["module.param0"].item() == 0.0155 @pytest.mark.parametrize('device_type', _device_types())156 def test_nosync_buffer(self, device_type):157 r0, r1 = _launch(158 inputs=[torch.tensor([1.]), torch.tensor([2.])],159 args={"broadcast_buffers": False},160 device_type=device_type)161 assert r0[0].item() == -1162 assert r1[0].item() == -2163 assert r0[1]["buffer"].item() == 1164 assert r1[1]["buffer"].item() == 2165 @pytest.mark.parametrize('device_type', _device_types())166 def test_sync_buffer(self, device_type):167 r0, r1 = _launch(168 inputs=[torch.tensor([1.]), torch.tensor([2.])],169 args={"broadcast_buffers": True},170 device_type=device_type)171 assert r0[0].item() == -1172 assert r1[0].item() == -2173 assert r0[1]["buffer"].item() == 1174 assert r1[1]["buffer"].item() == 1175 @pytest.mark.parametrize('device_type', _device_types())176 def test_specific_broadcast(self, device_type):177 r0, r1 = _launch(178 inputs=[torch.tensor([1.]), torch.tensor([2.])],179 args={"broadcast_function": Collectives._to_zero,180 "broadcast_buffers": True},181 device_type=device_type)182 assert r0[1]["buffer"].item() == 0.0183 assert r1[1]["buffer"].item() == 0.0184 @pytest.mark.parametrize('device_type', _device_types())185 def test_define_by_run(self, device_type):186 r0, r1 = _launch(187 inputs=[torch.tensor([1.]), torch.tensor([-1])],188 device_type=device_type)189 assert r0[0].item() == -1190 assert r1[0].item() == 1191 assert r0[2]["module.param0"].item() == 0.5192 assert r1[2]["module.param0"].item() == 0.5193 assert r0[2]["module.param1"].item() == 0.5194 assert r1[2]["module.param1"].item() == 0.5195 @pytest.mark.parametrize('device_type', _device_types())196 def test_no_sync(self, device_type):197 r0, r1 = _launch(198 inputs=[torch.tensor([1.]), torch.tensor([2.])],199 step=Steps._step_with_no_sync,200 device_type=device_type)201 assert r0[0].item() == -1202 assert r1[0].item() == -2203 assert r0[2]["module.param0"].item() == 1204 assert r1[2]["module.param0"].item() == 2205 assert r0[2]["module.param1"] is None206 assert r1[2]["module.param1"] is None207 @pytest.mark.parametrize('device_type', _device_types())208 def test_hook(self, device_type):209 r0, r1 = _launch(210 inputs=[torch.tensor([1.]), torch.tensor([2.])],211 step=Steps._step_with_hook,212 device_type=device_type)213 assert r0[0].item() == -1214 assert r1[0].item() == -2215 assert r0[2]["module.param0"].item() == 0216 assert r1[2]["module.param0"].item() == 0217 assert r0[2]["module.param1"].item() == 0218 assert r1[2]["module.param1"].item() == 0219 @pytest.mark.parametrize('device_type', _device_types())220 @pytest.mark.skipif(221 not pytorch_pfn_extras.requires("1.6.0"),222 reason="Variable._execution_engine.queue_callback does not work "223 "with checkpointing when torch < 1.6.0")224 def test_checkpoint(self, device_type):225 r0, r1 = _launch(226 inputs=[torch.tensor([[1.]]), torch.tensor([[2.]])],227 modules=[MyModuleWithCheckpoint(), MyModuleWithCheckpoint()],228 step=Steps._step_with_hook,229 device_type=device_type)230 grad0 = r0[2]231 grad1 = r1[2]232 for key in grad0.keys():233 assert np.array_equal(grad0[key].cpu().numpy(),...

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torque.py

Source:torque.py Github

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...22 23 24 def submit( self, cmd ):25 cmds = [ r'echo \"%s\" | qsub' % (cmd,) ]26 failed, output, error = self._launch( cmds )27 if failed:28 if error.find( 'check pbs_server daemon' ) != -1:29 from exceptions import SchedulerDaemonNotStarted30 raise SchedulerDaemonNotStarted, "pbs_server"31 msg = "error in executing cmds %s. output: %s, error: %s" % (32 cmds, output, error )33 raise RuntimeError, msg34 return output35 36 def status( self, jobid ):37 38 cmds = [ 'qstat -f %s' % (jobid,) ]39 failed, output, error = self._launch( cmds )40 if failed:41 if error.find( 'Unknown Job Id' ) != -1:42 return self.statusByTracejob( job )43 msg = "error in executing cmds %s. output: %s, error: %s" % (44 cmds, output, error )45 raise RuntimeError, msg46 47 lines = output.split( '\n' )48 lines = lines[1:] # first line removed49 if len(lines) == 0: return self.statusByTracejob( job )50 d = {}51 for line in lines:52 try:53 k,v = line.split( '=' )54 except:55 continue56 d[ k.strip() ] = v.strip()57 continue58 errorpath = d['Error_Path']59 dummy, errorfilename = os.path.split(errorpath)60 outputpath = d['Output_Path']61 dummy, outputfilename = os.path.split(outputpath)62 state = d['job_state']63 import time64 start_time = d.get('start_time') or time.ctime()65 66 ret = {67 'remote_outputfilename': outputfilename,68 'remote_errorfilename': errorfilename,69 'state': _state( state ),70 'timeStart': start_time,71 }72 if ret['state'] == 'finished':73 output, error = self._readoutputerror(74 outputfilename, errorfilename )75 ret.update(76 { 'exit_code': d['exit_status'],77 'timeCompletion': d['etime'],78 'output': output,79 'error': error,80 } )81 pass82 return ret83 def statusByTracejob( self, job ):84 jobid = job.id_incomputingserver85 d = {}86 87 tag = 'Exit_status'88 words = self._tracejob_search( jobid, tag )89 status = words[3]90 key, value = status.split( '=' )91 assert key.lower() == 'exit_status'92 d [ 'exit_code' ] = value93 tag = 'job was terminated'94 words = self._tracejob_search( jobid, tag )95 d[ 'timeCompletion' ] = ' '.join( words[0:2] )96 output, error = self._readoutputerror(97 job.outputfilename, job.errorfilename )98 d.update( {99 'output': output,100 'error': error,101 } )102 103 return d104 def _readoutputerror(self, outputfilename, errorfilename ):105 return self._read( outputfilename ), self._read( errorfilename )106 def _read(self, filename):107 'read file in the remote job directory'108 cmds = [ 'tail %r' % (filename,) ]109 failed, output, error = self._launch( cmds )110 if failed:111 msg = "error in executing cmds %s. output: %s, error: %s" % (112 cmds, output, error )113 raise RuntimeError, msg114 maxlen = self.outputstr_maxlen115 return output[-maxlen+1:]116 def _tracejob_search(self, jobid, tag):117 cmds = [ 'tracejob %s | grep %r' % (jobid, tag) ]118 119 failed, output, error = self._launch( cmds )120 if failed:121 msg = "error in executing cmds %s. output: %s, error: %s" % (122 cmds, output, error )123 raise RuntimeError, msg124 # remove trailing \n to make parsing easier125 if output.endswith( '\n' ): output = output[:-1] 126 lines = output.split( '\n' )127 words = lines[-1].split( )128 debug.log( 'words: %s' % words )129 return words130 131 def _launch(self, cmds):132 if self.prefix: cmds = [ self.prefix ] + cmds133 return self.launcher( ' && '.join( cmds ) )134 pass # end of Scheduler135import os136_states = {137 'C': 'finished',138 'R': 'running',139 'Q': 'queued',140 'E': 'exiting', #after having run141 'H': 'onhold',142 'W': 'waiting',143 'S': 'suspend',144 }145 ...

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test_samples.py

Source:test_samples.py Github

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...63 'ASK_VERIFY_REQUESTS': 'false'}64 if os.name == 'nt':65 self.env['SYSTEMROOT'] = os.getenv('SYSTEMROOT')66 self.env['PATH'] = os.getenv('PATH')67 def _launch(self, sample):68 prefix = os.path.join(project_root, 'samples/')69 path = prefix + sample70 process = subprocess.Popen([self.python, path], env=self.env)71 time.sleep(1)72 self.assertIsNone(process.poll(),73 msg='Poll should work,'74 'otherwise we failed to launch')75 self.process = process76 def _post(self, route='/', data={}):77 url = 'http://127.0.0.1:5000' + str(route)78 print('POSTing to %s' % url)79 response = post(url, json=data)80 self.assertEqual(200, response.status_code)81 return response82 @staticmethod83 def _get_text(http_response):84 data = http_response.json()85 return data.get('response', {})\86 .get('outputSpeech', {})\87 .get('text', None)88 @staticmethod89 def _get_reprompt(http_response):90 data = http_response.json()91 return data.get('response', {})\92 .get('reprompt', {})\93 .get('outputSpeech', {})\94 .get('text', None)95 def tearDown(self):96 try:97 self.process.terminate()98 self.process.communicate(timeout=1)99 except Exception as e:100 try:101 print('[%s]...trying to kill.' % str(e))102 self.process.kill()103 self.process.communicate(timeout=1)104 except Exception as e:105 print('Error killing test python process: %s' % str(e))106 print('*** it is recommended you manually kill with PID %s',107 self.process.pid)108 def test_helloworld(self):109 """ Test the HelloWorld sample project """110 self._launch('helloworld/helloworld.py')111 response = self._post(data=launch)112 self.assertTrue('hello' in self._get_text(response))113 def test_session_sample(self):114 """ Test the Session sample project """115 self._launch('session/session.py')116 response = self._post(data=launch)117 self.assertTrue('favorite color' in self._get_text(response))118 def test_audio_simple_demo(self):119 """ Test the SimpleDemo Audio sample project """120 self._launch('audio/simple_demo/ask_audio.py')121 response = self._post(data=launch)122 self.assertTrue('audio example' in self._get_text(response))123 def test_audio_playlist_demo(self):124 """ Test the Playlist Audio sample project """125 self._launch('audio/playlist_demo/playlist.py')126 response = self._post(data=launch)127 self.assertTrue('playlist' in self._get_text(response))128 def test_blueprints_demo(self):129 """ Test the sample project using Flask Blueprints """130 self._launch('blueprint_demo/demo.py')131 response = self._post(route='/ask', data=launch)132 self.assertTrue('hello' in self._get_text(response))133 def test_history_buff(self):134 """ Test the History Buff sample """135 self._launch('historybuff/historybuff.py')136 response = self._post(data=launch)137 self.assertTrue('History buff' in self._get_text(response))138 def test_spacegeek(self):139 """ Test the Spacegeek sample """140 self._launch('spacegeek/spacegeek.py')141 response = self._post(data=launch)142 # response is random143 self.assertTrue(len(self._get_text(response)) > 1)144 def test_tidepooler(self):145 """ Test the Tide Pooler sample """146 self._launch('tidepooler/tidepooler.py')147 response = self._post(data=launch)...

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