Git stash stores the changes you made to the working directory locally (inside your project's .git directory;/.git/refs/stash, to be precise) and allows you to retrieve the changes when you need them. It's handy
Note that multiple calls tologging.getLogger('loggerName')returns a reference to the same logger object, in this caseloggerNameobject. This holds true both within and between modules as long as they are running in the same Python interpreter session. For references to the same object, the appl...
error( "aiohttp exception for %s [%s]: %s", url, getattr(e, "status", None), getattr(e, "message", None), ) return found except Exception as e: logger.exception( "Non-aiohttp exception occured: %s", getattr(e, "__dict__", {}) ) return found else: for link in HREF_RE.find...
(socket.AF_INET, socket.SOCK_DGRAM) self._ip = ip self._port = portdefwrite(self, message): self._socket.send(message, (self._ip, self._port))deflog(message, destination): destination.write('[{}] - {}'.format(datetime.now(), message)) upd_logger = SocketWriter('1.2.3.4','...
To improve throughput, Azure Functions lets your out-of-process Python language worker share memory with the Functions host process. When your function app is hitting bottlenecks, you can enable shared memory by adding an application setting named FUNCTIONS_WORKER_SHARED_MEMORY_DATA_TRANSFER_ENABLED ...
# urlcaller.py import logging import sys import requests logger = logging.getLogger(__name__) try: response = requests.get(sys.argv[1]) except requests.exceptions.ConnectionError as e: logger.exception() print(-1, 'Connection Error') else: print(response.status_code, response.content) Now...
logger = logging.getLogger(__name__)classDownloadWorker(Thread):def__init__(self, queue): Thread.__init__(self) self.queue = queuedefrun(self):whileTrue:# Get the work from the queue and expand the tupledirectory, link = self.queue.get()try: ...
debug(_message_)Writes a message with level DEBUG on the root logger. To learn more about logging, seeMonitor Azure Functions. Logging from created threads To see logs coming from your created threads, include thecontextargument in the function's signature. This argument contains an attributethre...
(logging.DEBUG) # Configure a console output handler = logging.StreamHandler(stream=sys.stdout) logger.addHandler(handler) # This client will log detailed information about its HTTP sessions, at DEBUG level service_client = ShareServiceClient.from_connection_string("your_connection_string", log...
+Here you can see clusters between positions 5 and 30 according to size: + + + - - - 2.6 Gaming - + -Cluster for some gaming related libraries, is centered around pygame. +Some of the other clusters: + + Testing cluster, d3 link, graphistry cluster + Openstack cluster, d3 ...