_id
stringlengths
2
7
title
stringlengths
1
88
partition
stringclasses
3 values
text
stringlengths
75
19.8k
language
stringclasses
1 value
meta_information
dict
q18700
_setup_network
train
def _setup_network(): """Setup platform specific network settings""" global wlan global secret if sys.platform in PYCOM: # Update secret as tuple with wlan mode for PyCom port. wlan = network.WLAN(network.WLAN.STA) secret = (network.WLAN.WPA2, settings.WIFI_PASSWORD) else: ...
python
{ "resource": "" }
q18701
_wifi_connect
train
def _wifi_connect(): """Connects to WIFI""" if not wlan.isconnected(): wlan.active(True) print("NETWORK: connecting to network %s..." % settings.WIFI_SSID) wlan.connect(settings.WIFI_SSID, secret) while not wlan.isconnected(): print("NETWORK: waiting for connection......
python
{ "resource": "" }
q18702
disable_ap
train
def disable_ap(): """Disables any Accesspoint""" wlan = network.WLAN(network.AP_IF) wlan.active(False) print("NETWORK: Access Point disabled.")
python
{ "resource": "" }
q18703
HomieNode.get_property_id_from_set_topic
train
def get_property_id_from_set_topic(self, topic): """Return the property id from topic as integer""" topic = topic.decode() return int(topic.split("/")[-3].split("_")[-1])
python
{ "resource": "" }
q18704
HomieDevice.add_node
train
def add_node(self, node): """add a node class of HomieNode to this device""" self.nodes.append(node) # add node_ids try: if node.node_id != b"$stats": self.node_ids.append(node.node_id) except NotImplementedError: raise except Exce...
python
{ "resource": "" }
q18705
HomieDevice.subscribe_topics
train
def subscribe_topics(self): """subscribe to all registered device and node topics""" base = self.topic subscribe = self.mqtt.subscribe # device topics subscribe(b"/".join((base, b"$stats/interval/set"))) subscribe(b"/".join((self.settings.MQTT_BASE_TOPIC, b"$broadcast/#"...
python
{ "resource": "" }
q18706
HomieDevice.publish_properties
train
def publish_properties(self): """publish device and node properties""" publish = self.publish # device properties publish(b"$homie", b"3.0.1") publish(b"$name", self.settings.DEVICE_NAME) publish(b"$state", b"init") publish(b"$fw/name", b"Microhomie") pub...
python
{ "resource": "" }
q18707
HomieDevice.publish_data
train
def publish_data(self): """publish node data if node has updates""" self.publish_device_stats() publish = self.publish # node data for node in self.nodes: try: if node.has_update(): for data in node.get_data(): ...
python
{ "resource": "" }
q18708
HomieDevice.start
train
def start(self): """publish device and node properties, run forever""" self.publish_properties() self.subscribe_topics() gc.collect() self.set_state("ready") while True: try: if not utils.wlan.isconnected(): utils.wifi_con...
python
{ "resource": "" }
q18709
array
train
def array(shape, dtype=_np.float64, autolock=False): """Factory method for shared memory arrays supporting all numpy dtypes.""" assert _NP_AVAILABLE, "To use the shared array object, numpy must be available!" if not isinstance(dtype, _np.dtype): dtype = _np.dtype(dtype) # Not bothering to transl...
python
{ "resource": "" }
q18710
Parallel.print
train
def print(cls, *args, **kwargs): """Print synchronized.""" # pylint: disable=protected-access with _shared._PRINT_LOCK: print(*args, **kwargs) _sys.stdout.flush()
python
{ "resource": "" }
q18711
Parallel.range
train
def range(self, start, stop=None, step=1): """ Get the correctly distributed parallel chunks. This corresponds to using the OpenMP 'static' schedule. """ self._assert_active() if stop is None: start, stop = 0, start full_list = range(start, stop, step...
python
{ "resource": "" }
q18712
Parallel.xrange
train
def xrange(self, start, stop=None, step=1): """ Get an iterator for this threads chunk of work. This corresponds to using the OpenMP 'dynamic' schedule. """ self._assert_active() if stop is None: start, stop = 0, start with self._queuelock: ...
python
{ "resource": "" }
q18713
Parallel.iterate
train
def iterate(self, iterable, element_timeout=None): """ Iterate over an iterable. The iterator is executed in the host thread. The threads dynamically grab the elements. The iterator elements must hence be picklable to be transferred through the queue. If there is only o...
python
{ "resource": "" }
q18714
configure
train
def configure(): """ Configure information about Databricks account and default behavior. Configuration is stored in a `.apparatecfg` file. A config file must exist before this package can be used, and can be supplied either directly as a text file or generated using this configuration tool. ...
python
{ "resource": "" }
q18715
load_library
train
def load_library(filename, match, folder, token, host): """ upload an egg to the Databricks filesystem. Parameters ---------- filename: string local location of file to upload match: FilenameMatch object match object with library_type, library_name, and version folder: strin...
python
{ "resource": "" }
q18716
get_job_list
train
def get_job_list(logger, match, library_mapping, token, host): """ get a list of jobs using the major version of the given library Parameters ---------- logger: logging object configured in cli_commands.py match: FilenameMatch object match object with suffix library_mapping:...
python
{ "resource": "" }
q18717
get_library_mapping
train
def get_library_mapping(logger, prod_folder, token, host): """ returns a pair of library mappings, the first mapping library uri to a library name for all libraries in the production folder, and the second mapping library name to info for libraries in the production folder with parsable versions ...
python
{ "resource": "" }
q18718
update_job_libraries
train
def update_job_libraries( logger, job_list, match, new_library_path, token, host, ): """ update libraries on jobs using same major version Parameters ---------- logger: logging object configured in cli_commands.py job_list: list of strings output of get_j...
python
{ "resource": "" }
q18719
FileNameMatch.replace_version
train
def replace_version(self, other, logger): """ True if self can safely replace other based on version numbers only - snapshot and branch tags are ignored """ if other.library_name != self.library_name: logger.debug( 'not replacable: {} != {} ()' ...
python
{ "resource": "" }
q18720
_resolve_input
train
def _resolve_input(variable, variable_name, config_key, config): """ Resolve input entered as option values with config values If option values are provided (passed in as `variable`), then they are returned unchanged. If `variable` is None, then we first look for a config value to use. If no ...
python
{ "resource": "" }
q18721
upload
train
def upload(path, token, folder): """ The egg that the provided path points to will be uploaded to Databricks. """ config = _load_config(CFG_FILE) token = _resolve_input(token, 'token', 'token', config) folder = _resolve_input(folder, 'folder', 'prod_folder', config) update_databricks( ...
python
{ "resource": "" }
q18722
upload_and_update
train
def upload_and_update(path, token, cleanup): """ The egg that the provided path points to will be uploaded to Databricks. All jobs which use the same major version of the library will be updated to use the new version, and all version of this library in the production folder with the same major v...
python
{ "resource": "" }
q18723
parse_sas_token
train
def parse_sas_token(sas_token): """Parse a SAS token into its components. :param sas_token: The SAS token. :type sas_token: str :rtype: dict[str, str] """ sas_data = {} token = sas_token.partition(' ')[2] fields = token.split('&') for field in fields: key, value = field.spli...
python
{ "resource": "" }
q18724
EventData.offset
train
def offset(self): """ The offset of the event data object. :rtype: ~azure.eventhub.common.Offset """ try: return Offset(self._annotations[EventData.PROP_OFFSET].decode('UTF-8')) except (KeyError, AttributeError): return None
python
{ "resource": "" }
q18725
EventData.enqueued_time
train
def enqueued_time(self): """ The enqueued timestamp of the event data object. :rtype: datetime.datetime """ timestamp = self._annotations.get(EventData.PROP_TIMESTAMP, None) if timestamp: return datetime.datetime.utcfromtimestamp(float(timestamp)/1000) ...
python
{ "resource": "" }
q18726
EventData.partition_key
train
def partition_key(self): """ The partition key of the event data object. :rtype: bytes """ try: return self._annotations[self._partition_key] except KeyError: return self._annotations.get(EventData.PROP_PARTITION_KEY, None)
python
{ "resource": "" }
q18727
EventData.partition_key
train
def partition_key(self, value): """ Set the partition key of the event data object. :param value: The partition key to set. :type value: str or bytes """ annotations = dict(self._annotations) annotations[self._partition_key] = value header = MessageHeader...
python
{ "resource": "" }
q18728
EventData.application_properties
train
def application_properties(self, value): """ Application defined properties on the message. :param value: The application properties for the EventData. :type value: dict """ self._app_properties = value properties = dict(self._app_properties) self.message...
python
{ "resource": "" }
q18729
EventData.body_as_str
train
def body_as_str(self, encoding='UTF-8'): """ The body of the event data as a string if the data is of a compatible type. :param encoding: The encoding to use for decoding message data. Default is 'UTF-8' :rtype: str or unicode """ data = self.body ...
python
{ "resource": "" }
q18730
EventData.body_as_json
train
def body_as_json(self, encoding='UTF-8'): """ The body of the event loaded as a JSON object is the data is compatible. :param encoding: The encoding to use for decoding message data. Default is 'UTF-8' :rtype: dict """ data_str = self.body_as_str(encoding=encodi...
python
{ "resource": "" }
q18731
Offset.selector
train
def selector(self): """ Creates a selector expression of the offset. :rtype: bytes """ operator = ">=" if self.inclusive else ">" if isinstance(self.value, datetime.datetime): timestamp = (calendar.timegm(self.value.utctimetuple()) * 1000) + (self.value.micro...
python
{ "resource": "" }
q18732
EventHubConfig.get_client_address
train
def get_client_address(self): """ Returns an auth token dictionary for making calls to eventhub REST API. :rtype: str """ return "amqps://{}:{}@{}.{}:5671/{}".format( urllib.parse.quote_plus(self.policy), urllib.parse.quote_plus(self.sas_key), ...
python
{ "resource": "" }
q18733
EventHubConfig.get_rest_token
train
def get_rest_token(self): """ Returns an auth token for making calls to eventhub REST API. :rtype: str """ uri = urllib.parse.quote_plus( "https://{}.{}/{}".format(self.sb_name, self.namespace_suffix, self.eh_name)) sas = self.sas_key.encode('utf-8') ...
python
{ "resource": "" }
q18734
Sender.send
train
def send(self, event_data): """ Sends an event data and blocks until acknowledgement is received or operation times out. :param event_data: The event to be sent. :type event_data: ~azure.eventhub.common.EventData :raises: ~azure.eventhub.common.EventHubError if the messa...
python
{ "resource": "" }
q18735
Sender.transfer
train
def transfer(self, event_data, callback=None): """ Transfers an event data and notifies the callback when the operation is done. :param event_data: The event to be sent. :type event_data: ~azure.eventhub.common.EventData :param callback: Callback to be run once the message has b...
python
{ "resource": "" }
q18736
Sender._on_outcome
train
def _on_outcome(self, outcome, condition): """ Called when the outcome is received for a delivery. :param outcome: The outcome of the message delivery - success or failure. :type outcome: ~uamqp.constants.MessageSendResult """ self._outcome = outcome self._condit...
python
{ "resource": "" }
q18737
AzureStorageCheckpointLeaseManager.initialize
train
def initialize(self, host): """ The EventProcessorHost can't pass itself to the AzureStorageCheckpointLeaseManager constructor because it is still being constructed. Do other initialization here also because it might throw and hence we don't want it in the constructor. """ ...
python
{ "resource": "" }
q18738
AzureStorageCheckpointLeaseManager.get_checkpoint_async
train
async def get_checkpoint_async(self, partition_id): """ Get the checkpoint data associated with the given partition. Could return null if no checkpoint has been created for that partition. :param partition_id: The partition ID. :type partition_id: str :return: Given part...
python
{ "resource": "" }
q18739
AzureStorageCheckpointLeaseManager.create_lease_store_if_not_exists_async
train
async def create_lease_store_if_not_exists_async(self): """ Create the lease store if it does not exist, do nothing if it does exist. :return: `True` if the lease store already exists or was created successfully, `False` if not. :rtype: bool """ try: await se...
python
{ "resource": "" }
q18740
AzureStorageCheckpointLeaseManager.get_lease_async
train
async def get_lease_async(self, partition_id): """ Return the lease info for the specified partition. Can return null if no lease has been created in the store for the specified partition. :param partition_id: The partition ID. :type partition_id: str :return: lease info...
python
{ "resource": "" }
q18741
AzureStorageCheckpointLeaseManager.create_lease_if_not_exists_async
train
async def create_lease_if_not_exists_async(self, partition_id): """ Create in the store the lease info for the given partition, if it does not exist. Do nothing if it does exist in the store already. :param partition_id: The ID of a given parition. :type partition_id: str ...
python
{ "resource": "" }
q18742
AzureStorageCheckpointLeaseManager.delete_lease_async
train
async def delete_lease_async(self, lease): """ Delete the lease info for the given partition from the store. If there is no stored lease for the given partition, that is treated as success. :param lease: The stored lease to be deleted. :type lease: ~azure.eventprocessorhost.leas...
python
{ "resource": "" }
q18743
AzureStorageCheckpointLeaseManager.acquire_lease_async
train
async def acquire_lease_async(self, lease): """ Acquire the lease on the desired partition for this EventProcessorHost. Note that it is legal to acquire a lease that is already owned by another host. Lease-stealing is how partitions are redistributed when additional hosts are started. ...
python
{ "resource": "" }
q18744
AzureStorageCheckpointLeaseManager.release_lease_async
train
async def release_lease_async(self, lease): """ Give up a lease currently held by this host. If the lease has been stolen, or expired, releasing it is unnecessary, and will fail if attempted. :param lease: The stored lease to be released. :type lease: ~azure.eventprocessorhost.l...
python
{ "resource": "" }
q18745
AzureStorageCheckpointLeaseManager.update_lease_async
train
async def update_lease_async(self, lease): """ Update the store with the information in the provided lease. It is necessary to currently hold a lease in order to update it. If the lease has been stolen, or expired, or released, it cannot be updated. Updating should renew the lease before...
python
{ "resource": "" }
q18746
EventHubClient.from_sas_token
train
def from_sas_token(cls, address, sas_token, eventhub=None, **kwargs): """Create an EventHubClient from an existing auth token or token generator. :param address: The Event Hub address URL :type address: str :param sas_token: A SAS token or function that returns a SAS token. If a functio...
python
{ "resource": "" }
q18747
EventHubClient.from_connection_string
train
def from_connection_string(cls, conn_str, eventhub=None, **kwargs): """Create an EventHubClient from a connection string. :param conn_str: The connection string. :type conn_str: str :param eventhub: The name of the EventHub, if the EntityName is not included in the connection s...
python
{ "resource": "" }
q18748
EventHubClient.from_iothub_connection_string
train
def from_iothub_connection_string(cls, conn_str, **kwargs): """ Create an EventHubClient from an IoTHub connection string. :param conn_str: The connection string. :type conn_str: str :param debug: Whether to output network trace logs to the logger. Default is `False`. ...
python
{ "resource": "" }
q18749
EventHubClient.create_properties
train
def create_properties(self): # pylint: disable=no-self-use """ Format the properties with which to instantiate the connection. This acts like a user agent over HTTP. :rtype: dict """ properties = {} properties["product"] = "eventhub.python" properties["v...
python
{ "resource": "" }
q18750
EventHubClient.add_receiver
train
def add_receiver( self, consumer_group, partition, offset=None, prefetch=300, operation=None, keep_alive=30, auto_reconnect=True): """ Add a receiver to the client for a particular consumer group and partition. :param consumer_group: The name of the consumer group. ...
python
{ "resource": "" }
q18751
EventHubClient.add_sender
train
def add_sender(self, partition=None, operation=None, send_timeout=60, keep_alive=30, auto_reconnect=True): """ Add a sender to the client to EventData object to an EventHub. :param partition: Optionally specify a particular partition to send to. If omitted, the events will be distribut...
python
{ "resource": "" }
q18752
EventHubClientAsync._create_auth
train
def _create_auth(self, username=None, password=None): """ Create an ~uamqp.authentication.cbs_auth_async.SASTokenAuthAsync instance to authenticate the session. :param username: The name of the shared access policy. :type username: str :param password: The shared access ...
python
{ "resource": "" }
q18753
EventHubClientAsync.get_eventhub_info_async
train
async def get_eventhub_info_async(self): """ Get details on the specified EventHub async. :rtype: dict """ alt_creds = { "username": self._auth_config.get("iot_username"), "password":self._auth_config.get("iot_password")} try: mgmt_aut...
python
{ "resource": "" }
q18754
EventHubClientAsync.add_async_receiver
train
def add_async_receiver( self, consumer_group, partition, offset=None, prefetch=300, operation=None, keep_alive=30, auto_reconnect=True, loop=None): """ Add an async receiver to the client for a particular consumer group and partition. :param consumer_group: The name of t...
python
{ "resource": "" }
q18755
Checkpoint.from_source
train
def from_source(self, checkpoint): """ Creates a new Checkpoint from an existing checkpoint. :param checkpoint: Existing checkpoint. :type checkpoint: ~azure.eventprocessorhost.checkpoint.Checkpoint """ self.partition_id = checkpoint.partition_id self.offset = ch...
python
{ "resource": "" }
q18756
AzureBlobLease.with_blob
train
def with_blob(self, blob): """ Init Azure Blob Lease with existing blob. """ content = json.loads(blob.content) self.partition_id = content["partition_id"] self.owner = content["owner"] self.token = content["token"] self.epoch = content["epoch"] se...
python
{ "resource": "" }
q18757
AzureBlobLease.with_source
train
def with_source(self, lease): """ Init Azure Blob Lease from existing. """ super().with_source(lease) self.offset = lease.offset self.sequence_number = lease.sequence_number
python
{ "resource": "" }
q18758
AzureBlobLease.is_expired
train
async def is_expired(self): """ Check and return Azure Blob Lease state using Storage API. """ if asyncio.iscoroutinefunction(self.state): current_state = await self.state() else: current_state = self.state() if current_state: return cu...
python
{ "resource": "" }
q18759
PartitionPump.run
train
def run(self): """ Makes pump sync so that it can be run in a thread. """ self.loop = asyncio.new_event_loop() self.loop.run_until_complete(self.open_async())
python
{ "resource": "" }
q18760
PartitionPump.set_pump_status
train
def set_pump_status(self, status): """ Updates pump status and logs update to console. """ self.pump_status = status _logger.info("%r partition %r", status, self.lease.partition_id)
python
{ "resource": "" }
q18761
PartitionPump.set_lease
train
def set_lease(self, new_lease): """ Sets a new partition lease to be processed by the pump. :param lease: The lease to set. :type lease: ~azure.eventprocessorhost.lease.Lease """ if self.partition_context: self.partition_context.lease = new_lease ...
python
{ "resource": "" }
q18762
PartitionPump.open_async
train
async def open_async(self): """ Opens partition pump. """ self.set_pump_status("Opening") self.partition_context = PartitionContext(self.host, self.lease.partition_id, self.host.eh_config.client_address, ...
python
{ "resource": "" }
q18763
PartitionPump.close_async
train
async def close_async(self, reason): """ Safely closes the pump. :param reason: The reason for the shutdown. :type reason: str """ self.set_pump_status("Closing") try: await self.on_closing_async(reason) if self.processor: ...
python
{ "resource": "" }
q18764
PartitionPump.process_events_async
train
async def process_events_async(self, events): """ Process pump events. :param events: List of events to be processed. :type events: list[~azure.eventhub.common.EventData] """ if events: # Synchronize to serialize calls to the processor. The handler is not ins...
python
{ "resource": "" }
q18765
EventHubPartitionPump.on_open_async
train
async def on_open_async(self): """ Eventhub Override for on_open_async. """ _opened_ok = False _retry_count = 0 while (not _opened_ok) and (_retry_count < 5): try: await self.open_clients_async() _opened_ok = True ex...
python
{ "resource": "" }
q18766
EventHubPartitionPump.open_clients_async
train
async def open_clients_async(self): """ Responsible for establishing connection to event hub client throws EventHubsException, IOException, InterruptedException, ExecutionException. """ await self.partition_context.get_initial_offset_async() # Create event hub client and ...
python
{ "resource": "" }
q18767
EventHubPartitionPump.clean_up_clients_async
train
async def clean_up_clients_async(self): """ Resets the pump swallows all exceptions. """ if self.partition_receiver: if self.eh_client: await self.eh_client.stop_async() self.partition_receiver = None self.partition_receive_hand...
python
{ "resource": "" }
q18768
EventHubPartitionPump.on_closing_async
train
async def on_closing_async(self, reason): """ Overides partition pump on closing. :param reason: The reason for the shutdown. :type reason: str """ self.partition_receiver.eh_partition_pump.set_pump_status("Errored") try: await self.running ex...
python
{ "resource": "" }
q18769
PartitionReceiver.run
train
async def run(self): """ Runs the async partion reciever event loop to retrive messages from the event queue. """ # Implement pull max batch from queue instead of one message at a time while self.eh_partition_pump.pump_status != "Errored" and not self.eh_partition_pump.is_closing...
python
{ "resource": "" }
q18770
Lease.with_partition_id
train
def with_partition_id(self, partition_id): """ Init with partition Id. :param partition_id: ID of a given partition. :type partition_id: str """ self.partition_id = partition_id self.owner = None self.token = None self.epoch = 0 self.event...
python
{ "resource": "" }
q18771
Lease.with_source
train
def with_source(self, lease): """ Init with existing lease. :param lease: An existing Lease. :type lease: ~azure.eventprocessorhost.lease.Lease """ self.partition_id = lease.partition_id self.epoch = lease.epoch self.owner = lease.owner self.token...
python
{ "resource": "" }
q18772
EventProcessorHost.open_async
train
async def open_async(self): """ Starts the host. """ if not self.loop: self.loop = asyncio.get_event_loop() await self.partition_manager.start_async()
python
{ "resource": "" }
q18773
PartitionContext.set_offset_and_sequence_number
train
def set_offset_and_sequence_number(self, event_data): """ Updates offset based on event. :param event_data: A received EventData with valid offset and sequenceNumber. :type event_data: ~azure.eventhub.common.EventData """ if not event_data: raise Exception(ev...
python
{ "resource": "" }
q18774
PartitionContext.get_initial_offset_async
train
async def get_initial_offset_async(self): # throws InterruptedException, ExecutionException """ Gets the initial offset for processing the partition. :rtype: str """ _logger.info("Calling user-provided initial offset provider %r %r", self.host.guid, self.par...
python
{ "resource": "" }
q18775
PartitionContext.checkpoint_async
train
async def checkpoint_async(self, event_processor_context=None): """ Generates a checkpoint for the partition using the curren offset and sequenceNumber for and persists to the checkpoint manager. :param event_processor_context An optional custom state value for the Event Processor. ...
python
{ "resource": "" }
q18776
PartitionContext.checkpoint_async_event_data
train
async def checkpoint_async_event_data(self, event_data, event_processor_context=None): """ Stores the offset and sequenceNumber from the provided received EventData instance, then writes those values to the checkpoint store via the checkpoint manager. Optionally stores the state of the E...
python
{ "resource": "" }
q18777
PartitionContext.persist_checkpoint_async
train
async def persist_checkpoint_async(self, checkpoint, event_processor_context=None): """ Persists the checkpoint, and - optionally - the state of the Event Processor. :param checkpoint: The checkpoint to persist. :type checkpoint: ~azure.eventprocessorhost.checkpoint.Checkpoint :...
python
{ "resource": "" }
q18778
Receiver.receive
train
def receive(self, max_batch_size=None, timeout=None): """ Receive events from the EventHub. :param max_batch_size: Receive a batch of events. Batch size will be up to the maximum specified, but will return as soon as service returns no new events. If combined with a timeout an...
python
{ "resource": "" }
q18779
PartitionManager.get_partition_ids_async
train
async def get_partition_ids_async(self): """ Returns a list of all the event hub partition IDs. :rtype: list[str] """ if not self.partition_ids: try: eh_client = EventHubClientAsync( self.host.eh_config.client_address, ...
python
{ "resource": "" }
q18780
PartitionManager.start_async
train
async def start_async(self): """ Intializes the partition checkpoint and lease store and then calls run async. """ if self.run_task: raise Exception("A PartitionManager cannot be started multiple times.") partition_count = await self.initialize_stores_async() ...
python
{ "resource": "" }
q18781
PartitionManager.stop_async
train
async def stop_async(self): """ Terminiates the partition manger. """ self.cancellation_token.cancel() if self.run_task and not self.run_task.done(): await self.run_task
python
{ "resource": "" }
q18782
PartitionManager.run_async
train
async def run_async(self): """ Starts the run loop and manages exceptions and cleanup. """ try: await self.run_loop_async() except Exception as err: # pylint: disable=broad-except _logger.error("Run loop failed %r", err) try: _logger....
python
{ "resource": "" }
q18783
PartitionManager.initialize_stores_async
train
async def initialize_stores_async(self): """ Intializes the partition checkpoint and lease store ensures that a checkpoint exists for all partitions. Note in this case checkpoint and lease stores are the same storage manager construct. :return: Returns the number of partitions. ...
python
{ "resource": "" }
q18784
PartitionManager.retry_async
train
async def retry_async(self, func, partition_id, retry_message, final_failure_message, max_retries, host_id): """ Throws if it runs out of retries. If it returns, action succeeded. """ created_okay = False retry_count = 0 while not created_okay an...
python
{ "resource": "" }
q18785
PartitionManager.run_loop_async
train
async def run_loop_async(self): """ This is the main execution loop for allocating and manging pumps. """ while not self.cancellation_token.is_cancelled: lease_manager = self.host.storage_manager # Inspect all leases. # Acquire any expired leases. ...
python
{ "resource": "" }
q18786
PartitionManager.check_and_add_pump_async
train
async def check_and_add_pump_async(self, partition_id, lease): """ Updates the lease on an exisiting pump. :param partition_id: The partition ID. :type partition_id: str :param lease: The lease to be used. :type lease: ~azure.eventprocessorhost.lease.Lease """ ...
python
{ "resource": "" }
q18787
PartitionManager.create_new_pump_async
train
async def create_new_pump_async(self, partition_id, lease): """ Create a new pump thread with a given lease. :param partition_id: The partition ID. :type partition_id: str :param lease: The lease to be used. :type lease: ~azure.eventprocessorhost.lease.Lease """ ...
python
{ "resource": "" }
q18788
PartitionManager.remove_pump_async
train
async def remove_pump_async(self, partition_id, reason): """ Stops a single partiton pump. :param partition_id: The partition ID. :type partition_id: str :param reason: A reason for closing. :type reason: str """ if partition_id in self.partition_pumps: ...
python
{ "resource": "" }
q18789
PartitionManager.which_lease_to_steal
train
def which_lease_to_steal(self, stealable_leases, have_lease_count): """ Determines and return which lease to steal If the number of leases is a multiple of the number of hosts, then the desired configuration is that all hosts own the name number of leases, and the difference betw...
python
{ "resource": "" }
q18790
PartitionManager.count_leases_by_owner
train
def count_leases_by_owner(self, leases): # pylint: disable=no-self-use """ Returns a dictionary of leases by current owner. """ owners = [l.owner for l in leases] return dict(Counter(owners))
python
{ "resource": "" }
q18791
PartitionManager.attempt_renew_lease_async
train
async def attempt_renew_lease_async(self, lease_task, owned_by_others_q, lease_manager): """ Attempts to renew a potential lease if possible and marks in the queue as none adds to adds to the queue. """ try: possible_lease = await lease_task if await possi...
python
{ "resource": "" }
q18792
PymataSocket.start
train
async def start(self): """ This method opens an IP connection on the IP device :return: None """ try: self.reader, self.writer = await asyncio.open_connection( self.ip_address, self.port, loop=self.loop) except OSError: print("Can'...
python
{ "resource": "" }
q18793
PyMata3.digital_read
train
def digital_read(self, pin): """ Retrieve the last data update for the specified digital pin. It is intended for a polling application. :param pin: Digital pin number :returns: Last value reported for the digital pin """ task = asyncio.ensure_future(self.core.di...
python
{ "resource": "" }
q18794
PyMata3.encoder_read
train
def encoder_read(self, pin): """ This method retrieves the latest encoder data value. It is a FirmataPlus feature. :param pin: Encoder Pin :returns: encoder data value """ try: task = asyncio.ensure_future(self.core.encoder_read(pin)) val...
python
{ "resource": "" }
q18795
PyMata3.enable_digital_reporting
train
def enable_digital_reporting(self, pin): """ Enables digital reporting. By turning reporting on for all 8 bits in the "port". This is part of Firmata's protocol specification. :param pin: Pin and all pins for this port :returns: No return value """ task ...
python
{ "resource": "" }
q18796
PyMata3.extended_analog
train
def extended_analog(self, pin, data): """ This method will send an extended-data analog write command to the selected pin.. :param pin: 0 - 127 :param data: 0 - 0-0x4000 (14 bits) :returns: No return value """ task = asyncio.ensure_future(self.core.exte...
python
{ "resource": "" }
q18797
PyMata3.get_analog_map
train
def get_analog_map(self, cb=None): """ This method requests and returns an analog map. :param cb: Optional callback reference :returns: An analog map response or None if a timeout occurs """ task = asyncio.ensure_future(self.core.get_analog_map()) report = self....
python
{ "resource": "" }
q18798
PyMata3.get_capability_report
train
def get_capability_report(self, raw=True, cb=None): """ This method retrieves the Firmata capability report :param raw: If True, it either stores or provides the callback with a report as list. If False, prints a formatted report to the console :...
python
{ "resource": "" }
q18799
PyMata3.get_pymata_version
train
def get_pymata_version(self): """ This method retrieves the PyMata version number :returns: PyMata version number. """ task = asyncio.ensure_future(self.core.get_pymata_version()) self.loop.run_until_complete(task)
python
{ "resource": "" }