Best Python code snippet using lisa_python
BaseClass.py
Source: BaseClass.py
...62 if self.data == {}:63 continue64 self.data += self.get_league(league)65 return self.data66 async def launch_async(self):67 self.session = self._async_session.ClientSession(connector_owner=False)68 async with self.session.get(self._url):69 self.launched = True70 async def async_get_league(self, league: Betid = Betid.PREMIERLEAGUE, async_session: aiohttp.ClientSession = None):71 """72 Provides access to available league level odds for unplayed matches73 Returns:74 [type]: [description]75 """76 if not self.launched:77 await self.launch_async()78 if not async_session:79 async_session = self.session80 async with async_session as session:81 try:82 async with session.get(url=league.to_endpoint(self.site)) as resp:83 return self.normalizer(await resp.json())84 # print(res.status_code)85 # self.data = jsonpaths.bet9ja_validator(self.rawdata)86 except Exception as e:87 print(e)88 return {}89 async def async_get_all(self):90 """91 provides odds for all 1x2 and doublechance markets for all implemented leagues92 Returns:93 Sequence[Mapping[str, str]]: A lis94 """95 if not self.launched:96 await self.launch_async()97 self.launched = True98 work = await asyncio.gather(*[self.async_get_league(league) for league in Betid])99 # test = [league for league in work if league != {}]100 data = []101 for league in work:102 if league == {}:103 continue104 data += league...
workflow.py
Source: workflow.py
...65 )66async def set_property(db, workflow, key, value):67 workflow[key] = value68 await db.workflow_update(workflow['_id'], workflow)69async def launch_async(db, workflow, resume):70 # re-initialize database backend71 db.initialize()72 # start workflow73 work_dir = os.path.join(env.WORKFLOWS_DIR, workflow['_id'])74 proc = run_workflow(workflow, work_dir, resume)75 proc_pid = proc.pid76 print('%d: saving workflow pid...' % (proc_pid))77 # save workflow pid78 await set_property(db, workflow, 'pid', proc.pid)79 print('%d: waiting for workflow to finish...' % (proc_pid))80 # wait for workflow to complete81 if proc.wait() == 0:82 print('%d: workflow completed' % (proc_pid))83 await set_property(db, workflow, 'status', 'completed')84 else:85 print('%d: workflow failed' % (proc_pid))86 await set_property(db, workflow, 'status', 'failed')87 return88 print('%d: saving output data...' % (proc_pid))89 # save output data90 output_dir = os.path.join(env.WORKFLOWS_DIR, workflow['_id'], workflow['output_dir'])91 proc = save_output(workflow, output_dir)92 proc_out, _ = proc.communicate()93 print(proc_out.decode('utf-8'))94 if proc.wait() == 0:95 print('%d: save output data completed' % (proc_pid))96 else:97 print('%d: save output data failed' % (proc_pid))98def launch(db, workflow, resume):99 asyncio.run(launch_async(db, workflow, resume))100def cancel(workflow):101 # terminate child process102 if workflow['pid'] != -1:103 try:104 os.kill(workflow['pid'], signal.SIGINT)105 except ProcessLookupError:106 pass107 # delete pods if relevant108 if env.NXF_EXECUTOR == 'k8s':109 proc = subprocess.Popen(110 ['scripts/kube-cancel.sh', get_run_name(workflow)],111 stdout=subprocess.PIPE,112 stderr=subprocess.STDOUT113 )...
stupid.py
Source: stupid.py
...8 print "Hello world!"9def bye():10 print "Good bye cruel world..."11@async12def launch_async(arg):13 sleep(random.randint(2, 10))14 print "Hola %s" % arg15@serial16def pfinish():17 print "Finished!"18def main(*args):19 # next two in serial20 hello()21 bye()22 # next in parallel23 for x in args:24 launch_async(x)...
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