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q229500
TransactionStore.addToProcessedTxns
train
def addToProcessedTxns(self, identifier: str, txnId: str, reply: Reply) -> None: """ Add a client request to the transaction store's list of processed requests. """ self.transactions[txnId] = reply ...
python
{ "resource": "" }
q229501
TransactionStore.append
train
async def append(self, reply: Reply) \ -> None: """ Add the given Reply to this transaction store's list of responses. Also add to processedRequests if not added previously. """ result = reply.result identifier = result.get(f.IDENTIFIER.nm) txnId = res...
python
{ "resource": "" }
q229502
TransactionStore._isNewTxn
train
def _isNewTxn(self, identifier, reply, txnId) -> bool: """ If client is not in `processedRequests` or requestId is not there in processed requests and txnId is present then its a new reply """ return (identifier not in self.processedRequests or reply.reqId not in ...
python
{ "resource": "" }
q229503
Requests.add
train
def add(self, req: Request): """ Add the specified request to this request store. """ key = req.key if key not in self: self[key] = ReqState(req) return self[key]
python
{ "resource": "" }
q229504
Requests.ordered_by_replica
train
def ordered_by_replica(self, request_key): """ Should be called by each replica when request is ordered or replica is removed. """ state = self.get(request_key) if not state: return state.unordered_by_replicas_num -= 1
python
{ "resource": "" }
q229505
Requests.mark_as_forwarded
train
def mark_as_forwarded(self, req: Request, to: int): """ Works together with 'mark_as_executed' and 'free' methods. It marks request as forwarded to 'to' replicas. To let request be removed, it should be marked as executed and each of 'to' replicas should call 'free'. """...
python
{ "resource": "" }
q229506
Requests.add_propagate
train
def add_propagate(self, req: Request, sender: str): """ Add the specified request to the list of received PROPAGATEs. :param req: the REQUEST to add :param sender: the name of the node sending the msg """ data = self.add(req) data.propagates[sender] = req
python
{ "resource": "" }
q229507
Requests.votes
train
def votes(self, req) -> int: """ Get the number of propagates for a given reqId and identifier. """ try: votes = len(self[req.key].propagates) except KeyError: votes = 0 return votes
python
{ "resource": "" }
q229508
Requests.mark_as_executed
train
def mark_as_executed(self, req: Request): """ Works together with 'mark_as_forwarded' and 'free' methods. It makes request to be removed if all replicas request was forwarded to freed it. """ state = self[req.key] state.executed = True self._clean(state)
python
{ "resource": "" }
q229509
Requests.free
train
def free(self, request_key): """ Works together with 'mark_as_forwarded' and 'mark_as_executed' methods. It makes request to be removed if all replicas request was forwarded to freed it and if request executor marked it as executed. """ state = self.get(request_k...
python
{ "resource": "" }
q229510
Requests.has_propagated
train
def has_propagated(self, req: Request, sender: str) -> bool: """ Check whether the request specified has already been propagated. """ return req.key in self and sender in self[req.key].propagates
python
{ "resource": "" }
q229511
Propagator.propagate
train
def propagate(self, request: Request, clientName): """ Broadcast a PROPAGATE to all other nodes :param request: the REQUEST to propagate """ if self.requests.has_propagated(request, self.name): logger.trace("{} already propagated {}".format(self, request)) el...
python
{ "resource": "" }
q229512
Propagator.createPropagate
train
def createPropagate( request: Union[Request, dict], client_name) -> Propagate: """ Create a new PROPAGATE for the given REQUEST. :param request: the client REQUEST :return: a new PROPAGATE msg """ if not isinstance(request, (Request, dict)): logge...
python
{ "resource": "" }
q229513
Propagator.forward
train
def forward(self, request: Request): """ Forward the specified client REQUEST to the other replicas on this node :param request: the REQUEST to propagate """ key = request.key num_replicas = self.replicas.num_replicas logger.debug('{} forwarding request {} to {} ...
python
{ "resource": "" }
q229514
Propagator.recordAndPropagate
train
def recordAndPropagate(self, request: Request, clientName): """ Record the request in the list of requests and propagate. :param request: :param clientName: """ self.requests.add(request) self.propagate(request, clientName) self.tryForwarding(request)
python
{ "resource": "" }
q229515
Propagator.tryForwarding
train
def tryForwarding(self, request: Request): """ Try to forward the request if the required conditions are met. See the method `canForward` for the conditions to check before forwarding a request. """ cannot_reason_msg = self.canForward(request) if cannot_reason_msg...
python
{ "resource": "" }
q229516
ZStack.removeRemote
train
def removeRemote(self, remote: Remote, clear=True): """ Currently not using clear """ name = remote.name pkey = remote.publicKey vkey = remote.verKey if name in self.remotes: self.remotes.pop(name) self.remotesByKeys.pop(pkey, None) ...
python
{ "resource": "" }
q229517
ZStack.service
train
async def service(self, limit=None, quota: Optional[Quota] = None) -> int: """ Service `limit` number of received messages in this stack. :param limit: the maximum number of messages to be processed. If None, processes all of the messages in rxMsgs. :return: the number of messag...
python
{ "resource": "" }
q229518
ZStack.connect
train
def connect(self, name=None, remoteId=None, ha=None, verKeyRaw=None, publicKeyRaw=None): """ Connect to the node specified by name. """ if not name: raise ValueError('Remote name should be specifi...
python
{ "resource": "" }
q229519
ZStack.reconnectRemote
train
def reconnectRemote(self, remote): """ Disconnect remote and connect to it again :param remote: instance of Remote from self.remotes :param remoteName: name of remote :return: """ if not isinstance(remote, Remote): raise PlenumTypeError('remote', remo...
python
{ "resource": "" }
q229520
DbHashStore._readMultiple
train
def _readMultiple(self, start, end, db): """ Returns a list of hashes with serial numbers between start and end, both inclusive. """ self._validatePos(start, end) # Converting any bytearray to bytes return [bytes(db.get(str(pos))) for pos in range(start, end + 1...
python
{ "resource": "" }
q229521
pack_nibbles
train
def pack_nibbles(nibbles): """pack nibbles to binary :param nibbles: a nibbles sequence. may have a terminator """ if nibbles[-1] == NIBBLE_TERMINATOR: flags = 2 nibbles = nibbles[:-1] else: flags = 0 oddlen = len(nibbles) % 2 flags |= oddlen # set lowest bit if ...
python
{ "resource": "" }
q229522
Trie._get_last_node_for_prfx
train
def _get_last_node_for_prfx(self, node, key_prfx, seen_prfx): """ get last node for the given prefix, also update `seen_prfx` to track the path already traversed :param node: node in form of list, or BLANK_NODE :param key_prfx: prefix to look for :param seen_prfx: prefix already seen, u...
python
{ "resource": "" }
q229523
Monitor.metrics
train
def metrics(self): """ Calculate and return the metrics. """ masterThrp, backupThrp = self.getThroughputs(self.instances.masterId) r = self.instance_throughput_ratio(self.instances.masterId) m = [ ("{} Monitor metrics:".format(self), None), ("Delta...
python
{ "resource": "" }
q229524
Monitor.prettymetrics
train
def prettymetrics(self) -> str: """ Pretty printing for metrics """ rendered = ["{}: {}".format(*m) for m in self.metrics()] return "\n ".join(rendered)
python
{ "resource": "" }
q229525
Monitor.reset
train
def reset(self): """ Reset the monitor. Sets all monitored values to defaults. """ logger.debug("{}'s Monitor being reset".format(self)) instances_ids = self.instances.started.keys() self.numOrderedRequests = {inst_id: (0, 0) for inst_id in instances_ids} self.req...
python
{ "resource": "" }
q229526
Monitor.addInstance
train
def addInstance(self, inst_id): """ Add one protocol instance for monitoring. """ self.instances.add(inst_id) self.requestTracker.add_instance(inst_id) self.numOrderedRequests[inst_id] = (0, 0) rm = self.create_throughput_measurement(self.config) self.thr...
python
{ "resource": "" }
q229527
Monitor.requestOrdered
train
def requestOrdered(self, reqIdrs: List[str], instId: int, requests, byMaster: bool = False) -> Dict: """ Measure the time taken for ordering of a request and return it. Monitor might have been reset due to view change due to which this method returns None "...
python
{ "resource": "" }
q229528
Monitor.requestUnOrdered
train
def requestUnOrdered(self, key: str): """ Record the time at which request ordering started. """ now = time.perf_counter() if self.acc_monitor: self.acc_monitor.update_time(now) self.acc_monitor.request_received(key) self.requestTracker.start(key, ...
python
{ "resource": "" }
q229529
Monitor.isMasterDegraded
train
def isMasterDegraded(self): """ Return whether the master instance is slow. """ if self.acc_monitor: self.acc_monitor.update_time(time.perf_counter()) return self.acc_monitor.is_master_degraded() else: return (self.instances.masterId is not Non...
python
{ "resource": "" }
q229530
Monitor.areBackupsDegraded
train
def areBackupsDegraded(self): """ Return slow instance. """ slow_instances = [] if self.acc_monitor: for instance in self.instances.backupIds: if self.acc_monitor.is_instance_degraded(instance): slow_instances.append(instance) ...
python
{ "resource": "" }
q229531
Monitor.instance_throughput_ratio
train
def instance_throughput_ratio(self, inst_id): """ The relative throughput of an instance compared to the backup instances. """ inst_thrp, otherThrp = self.getThroughputs(inst_id) # Backup throughput may be 0 so moving ahead only if it is not 0 r = inst_thrp / oth...
python
{ "resource": "" }
q229532
Monitor.is_instance_throughput_too_low
train
def is_instance_throughput_too_low(self, inst_id): """ Return whether the throughput of the master instance is greater than the acceptable threshold """ r = self.instance_throughput_ratio(inst_id) if r is None: logger.debug("{} instance {} throughput is not " ...
python
{ "resource": "" }
q229533
Monitor.isMasterReqLatencyTooHigh
train
def isMasterReqLatencyTooHigh(self): """ Return whether the request latency of the master instance is greater than the acceptable threshold """ # TODO for now, view_change procedure can take more that 15 minutes # (5 minutes for catchup and 10 minutes for primary's answer...
python
{ "resource": "" }
q229534
Monitor.is_instance_avg_req_latency_too_high
train
def is_instance_avg_req_latency_too_high(self, inst_id): """ Return whether the average request latency of an instance is greater than the acceptable threshold """ avg_lat, avg_lat_others = self.getLatencies() if not avg_lat or not avg_lat_others: return False...
python
{ "resource": "" }
q229535
Monitor.getThroughputs
train
def getThroughputs(self, desired_inst_id: int): """ Return a tuple of the throughput of the given instance and the average throughput of the remaining instances. :param instId: the id of the protocol instance """ instance_thrp = self.getThroughput(desired_inst_id) ...
python
{ "resource": "" }
q229536
Monitor.getThroughput
train
def getThroughput(self, instId: int) -> float: """ Return the throughput of the specified instance. :param instId: the id of the protocol instance """ # We are using the instanceStarted time in the denominator instead of # a time interval. This is alright for now as all ...
python
{ "resource": "" }
q229537
Monitor.getInstanceMetrics
train
def getInstanceMetrics( self, forAllExcept: int) -> Tuple[Optional[int], Optional[float]]: """ Calculate and return the average throughput of all the instances except the one specified as `forAllExcept`. """ m = [(reqs, tm) for i, (reqs, tm) in self.numOr...
python
{ "resource": "" }
q229538
Monitor.getLatency
train
def getLatency(self, instId: int) -> float: """ Return a dict with client identifier as a key and calculated latency as a value """ if len(self.clientAvgReqLatencies) == 0: return 0.0 return self.clientAvgReqLatencies[instId].get_avg_latency()
python
{ "resource": "" }
q229539
Batched._enqueue
train
def _enqueue(self, msg: Any, rid: int, signer: Signer) -> None: """ Enqueue the message into the remote's queue. :param msg: the message to enqueue :param rid: the id of the remote node """ if rid not in self.outBoxes: self.outBoxes[rid] = deque() sel...
python
{ "resource": "" }
q229540
Batched._enqueueIntoAllRemotes
train
def _enqueueIntoAllRemotes(self, msg: Any, signer: Signer) -> None: """ Enqueue the specified message into all the remotes in the nodestack. :param msg: the message to enqueue """ for rid in self.remotes.keys(): self._enqueue(msg, rid, signer)
python
{ "resource": "" }
q229541
Batched.send
train
def send(self, msg: Any, * rids: Iterable[int], signer: Signer = None, message_splitter=None) -> None: """ Enqueue the given message into the outBoxes of the specified remotes or into the outBoxes of all the remotes if rids is None :pa...
python
{ "resource": "" }
q229542
Batched.flushOutBoxes
train
def flushOutBoxes(self) -> None: """ Clear the outBoxes and transmit batched messages to remotes. """ removedRemotes = [] for rid, msgs in self.outBoxes.items(): try: dest = self.remotes[rid].name except KeyError: removedRem...
python
{ "resource": "" }
q229543
Looper.prodAllOnce
train
async def prodAllOnce(self): """ Call `prod` once for each Prodable in this Looper :return: the sum of the number of events executed successfully """ # TODO: looks like limit is always None??? limit = None s = 0 for n in self.prodables: s += a...
python
{ "resource": "" }
q229544
Looper.add
train
def add(self, prodable: Prodable) -> None: """ Add one Prodable object to this Looper's list of Prodables :param prodable: the Prodable object to add """ if prodable.name in [p.name for p in self.prodables]: raise ProdableAlreadyAdded("Prodable {} already added.". ...
python
{ "resource": "" }
q229545
Looper.removeProdable
train
def removeProdable(self, prodable: Prodable=None, name: str=None) -> Optional[Prodable]: """ Remove the specified Prodable object from this Looper's list of Prodables :param prodable: the Prodable to remove """ if prodable: self.prodables.remove(prodable) ...
python
{ "resource": "" }
q229546
Looper.runOnceNicely
train
async def runOnceNicely(self): """ Execute `runOnce` with a small tolerance of 0.01 seconds so that the Prodables can complete their other asynchronous tasks not running on the event-loop. """ start = time.perf_counter() msgsProcessed = await self.prodAllOnce() if...
python
{ "resource": "" }
q229547
Looper.run
train
def run(self, *coros: CoroWrapper): """ Runs an arbitrary list of coroutines in order and then quits the loop, if not running as a context manager. """ if not self.running: raise RuntimeError("not running!") async def wrapper(): results = [] ...
python
{ "resource": "" }
q229548
Looper.shutdown
train
async def shutdown(self): """ Shut down this Looper. """ logger.display("Looper shutting down now...", extra={"cli": False}) self.running = False start = time.perf_counter() if not self.runFut.done(): await self.runFut self.stopall() lo...
python
{ "resource": "" }
q229549
create_default_bls_bft_factory
train
def create_default_bls_bft_factory(node): ''' Creates a default BLS factory to instantiate BLS BFT classes. :param node: Node instance :return: BLS factory instance ''' bls_keys_dir = os.path.join(node.keys_dir, node.name) bls_crypto_factory = create_default_bls_crypto_factory(bls_keys_dir)...
python
{ "resource": "" }
q229550
SigningKey.sign
train
def sign(self, message, encoder=encoding.RawEncoder): """ Sign a message using this key. :param message: [:class:`bytes`] The data to be signed. :param encoder: A class that is used to encode the signed message. :rtype: :class:`~SignedMessage` """ raw_signed = li...
python
{ "resource": "" }
q229551
Verifier.verify
train
def verify(self, signature, msg): ''' Verify the message ''' if not self.key: return False try: self.key.verify(signature + msg) except ValueError: return False return True
python
{ "resource": "" }
q229552
Box.encrypt
train
def encrypt(self, plaintext, nonce, encoder=encoding.RawEncoder): """ Encrypts the plaintext message using the given `nonce` and returns the ciphertext encoded with the encoder. .. warning:: It is **VITALLY** important that the nonce is a nonce, i.e. it is a number used only...
python
{ "resource": "" }
q229553
Box.decrypt
train
def decrypt(self, ciphertext, nonce=None, encoder=encoding.RawEncoder): """ Decrypts the ciphertext using the given nonce and returns the plaintext message. :param ciphertext: [:class:`bytes`] The encrypted message to decrypt :param nonce: [:class:`bytes`] The nonce used when en...
python
{ "resource": "" }
q229554
Privateer.decrypt
train
def decrypt(self, cipher, nonce, pubkey, dehex=False): ''' Return decrypted msg contained in cypher using nonce and shared key generated from .key and pubkey. If pubkey is hex encoded it is converted first If dehex is True then use HexEncoder otherwise use RawEncoder Int...
python
{ "resource": "" }
q229555
getInstalledConfig
train
def getInstalledConfig(installDir, configFile): """ Reads config from the installation directory of Plenum. :param installDir: installation directory of Plenum :param configFile: name of the configuration file :raises: FileNotFoundError :return: the configuration as a python object """ ...
python
{ "resource": "" }
q229556
_getConfig
train
def _getConfig(general_config_dir: str = None): """ Reads a file called config.py in the project directory :raises: FileNotFoundError :return: the configuration as a python object """ stp_config = STPConfig() plenum_config = import_module("plenum.config") config = stp_config config....
python
{ "resource": "" }
q229557
Router.getFunc
train
def getFunc(self, o: Any) -> Callable: """ Get the next function from the list of routes that is capable of processing o's type. :param o: the object to process :return: the next function """ for cls, func in self.routes.items(): if isinstance(o, cls)...
python
{ "resource": "" }
q229558
Router.handleSync
train
def handleSync(self, msg: Any) -> Any: """ Pass the message as an argument to the function defined in `routes`. If the msg is a tuple, pass the values as multiple arguments to the function. :param msg: tuple of object and callable """ # If a plain python tuple and not a ...
python
{ "resource": "" }
q229559
Router.handle
train
async def handle(self, msg: Any) -> Any: """ Handle both sync and async functions. :param msg: a message :return: the result of execution of the function corresponding to this message's type """ res = self.handleSync(msg) if isawaitable(res): return a...
python
{ "resource": "" }
q229560
Router.handleAll
train
async def handleAll(self, deq: deque, limit=None) -> int: """ Handle all items in a deque. Can call asynchronous handlers. :param deq: a deque of items to be handled by this router :param limit: the number of items in the deque to the handled :return: the number of items handled...
python
{ "resource": "" }
q229561
Router.handleAllSync
train
def handleAllSync(self, deq: deque, limit=None) -> int: """ Synchronously handle all items in a deque. :param deq: a deque of items to be handled by this router :param limit: the number of items in the deque to the handled :return: the number of items handled successfully ...
python
{ "resource": "" }
q229562
CompactMerkleTree.load
train
def load(self, other: merkle_tree.MerkleTree): """Load this tree from a dumb data object for serialisation. The object must have attributes tree_size:int and hashes:list. """ self._update(other.tree_size, other.hashes)
python
{ "resource": "" }
q229563
CompactMerkleTree.save
train
def save(self, other: merkle_tree.MerkleTree): """Save this tree into a dumb data object for serialisation. The object must have attributes tree_size:int and hashes:list. """ other.__tree_size = self.__tree_size other.__hashes = self.__hashes
python
{ "resource": "" }
q229564
CompactMerkleTree.append
train
def append(self, new_leaf: bytes) -> List[bytes]: """Append a new leaf onto the end of this tree and return the audit path""" auditPath = list(reversed(self.__hashes)) self._push_subtree([new_leaf]) return auditPath
python
{ "resource": "" }
q229565
CompactMerkleTree.extend
train
def extend(self, new_leaves: List[bytes]): """Extend this tree with new_leaves on the end. The algorithm works by using _push_subtree() as a primitive, calling it with the maximum number of allowed leaves until we can add the remaining leaves as a valid entire (non-full) subtree in one ...
python
{ "resource": "" }
q229566
CompactMerkleTree.extended
train
def extended(self, new_leaves: List[bytes]): """Returns a new tree equal to this tree extended with new_leaves.""" new_tree = self.__copy__() new_tree.extend(new_leaves) return new_tree
python
{ "resource": "" }
q229567
CompactMerkleTree.verify_consistency
train
def verify_consistency(self, expected_leaf_count) -> bool: """ Check that the tree has same leaf count as expected and the number of nodes are also as expected """ if expected_leaf_count != self.leafCount: raise ConsistencyVerificationFailed() if self.get_expe...
python
{ "resource": "" }
q229568
isHex
train
def isHex(val: str) -> bool: """ Return whether the given str represents a hex value or not :param val: the string to check :return: whether the given str represents a hex value """ if isinstance(val, bytes): # only decodes utf-8 string try: val = val.decode() ...
python
{ "resource": "" }
q229569
EMALatencyMeasurementForEachClient._accumulate
train
def _accumulate(self, old_accum, next_val): """ Implement exponential moving average """ return old_accum * (1 - self.alpha) + next_val * self.alpha
python
{ "resource": "" }
q229570
HashStore.getNodePosition
train
def getNodePosition(cls, start, height=None) -> int: """ Calculates node position based on start and height :param start: The sequence number of the first leaf under this tree. :param height: Height of this node in the merkle tree :return: the node's position """ ...
python
{ "resource": "" }
q229571
HashStore.getPath
train
def getPath(cls, seqNo, offset=0): """ Get the audit path of the leaf at the position specified by serNo. :param seqNo: sequence number of the leaf to calculate the path for :param offset: the sequence number of the node from where the path should begin. :return: tuple ...
python
{ "resource": "" }
q229572
HashStore.readNodeByTree
train
def readNodeByTree(self, start, height=None): """ Fetches nodeHash based on start leaf and height of the node in the tree. :return: the nodeHash """ pos = self.getNodePosition(start, height) return self.readNode(pos)
python
{ "resource": "" }
q229573
HashStore.is_consistent
train
def is_consistent(self) -> bool: """ Returns True if number of nodes are consistent with number of leaves """ from ledger.compact_merkle_tree import CompactMerkleTree return self.nodeCount == CompactMerkleTree.get_expected_node_count( self.leafCount)
python
{ "resource": "" }
q229574
ChunkedFileStore._startNextChunk
train
def _startNextChunk(self) -> None: """ Close current and start next chunk """ if self.currentChunk is None: self._useLatestChunk() else: self._useChunk(self.currentChunkIndex + self.chunkSize)
python
{ "resource": "" }
q229575
ChunkedFileStore.get
train
def get(self, key) -> str: """ Determines the file to retrieve the data from and retrieves the data. :return: value corresponding to specified key """ # TODO: get is creating files when a key is given which is more than # the store size chunk_no, offset = self._g...
python
{ "resource": "" }
q229576
ChunkedFileStore.reset
train
def reset(self) -> None: """ Clear all data in file storage. """ self.close() for f in os.listdir(self.dataDir): os.remove(os.path.join(self.dataDir, f)) self._useLatestChunk()
python
{ "resource": "" }
q229577
ChunkedFileStore._listChunks
train
def _listChunks(self): """ Lists stored chunks :return: sorted list of available chunk indices """ chunks = [] for fileName in os.listdir(self.dataDir): index = ChunkedFileStore._fileNameToChunkIndex(fileName) if index is not None: ...
python
{ "resource": "" }
q229578
PrimaryDecider.filterMsgs
train
def filterMsgs(self, wrappedMsgs: deque) -> deque: """ Filters messages by view number so that only the messages that have the current view number are retained. :param wrappedMsgs: the messages to filter """ filtered = deque() while wrappedMsgs: wrapp...
python
{ "resource": "" }
q229579
PluginLoader.get
train
def get(self, name): """Retrieve a plugin by name.""" try: return self.plugins[name] except KeyError: raise RuntimeError("plugin {} does not exist".format(name))
python
{ "resource": "" }
q229580
VersionBase.cmp
train
def cmp(cls, v1: 'VersionBase', v2: 'VersionBase') -> int: """ Compares two instances. """ # TODO types checking if v1._version > v2._version: return 1 elif v1._version == v2._version: return 0 else: return -1
python
{ "resource": "" }
q229581
KITZStack.maintainConnections
train
def maintainConnections(self, force=False): """ Ensure appropriate connections. """ now = time.perf_counter() if now < self.nextCheck and not force: return False self.nextCheck = now + (self.config.RETRY_TIMEOUT_NOT_RESTRICTED ...
python
{ "resource": "" }
q229582
KITZStack.connectToMissing
train
def connectToMissing(self) -> set: """ Try to connect to the missing nodes """ missing = self.reconcileNodeReg() if not missing: return missing logger.info("{}{} found the following missing connections: {}". format(CONNECTION_PREFIX, self...
python
{ "resource": "" }
q229583
CallbackHandler.emit
train
def emit(self, record): """ Passes the log record back to the CLI for rendering """ should_cb = None attr_val = None if hasattr(record, self.typestr): attr_val = getattr(record, self.typestr) should_cb = bool(attr_val) if should_cb is None ...
python
{ "resource": "" }
q229584
KITNetworkInterface.conns
train
def conns(self, value: Set[str]) -> None: """ Updates the connection count of this node if not already done. """ if not self._conns == value: old = self._conns self._conns = value ins = value - old outs = old - value logger.disp...
python
{ "resource": "" }
q229585
KITNetworkInterface.findInNodeRegByHA
train
def findInNodeRegByHA(self, remoteHa): """ Returns the name of the remote by HA if found in the node registry, else returns None """ regName = [nm for nm, ha in self.registry.items() if self.sameAddr(ha, remoteHa)] if len(regName) > 1: raise...
python
{ "resource": "" }
q229586
KITNetworkInterface.getRemoteName
train
def getRemoteName(self, remote): """ Returns the name of the remote object if found in node registry. :param remote: the remote object """ if remote.name not in self.registry: find = [name for name, ha in self.registry.items() if ha == remote.ha] ...
python
{ "resource": "" }
q229587
KITNetworkInterface.notConnectedNodes
train
def notConnectedNodes(self) -> Set[str]: """ Returns the names of nodes in the registry this node is NOT connected to. """ return set(self.registry.keys()) - self.conns
python
{ "resource": "" }
q229588
MultiZapAuthenticator.start
train
def start(self): """Create and bind the ZAP socket""" self.zap_socket = self.context.socket(zmq.REP) self.zap_socket.linger = 1 zapLoc = 'inproc://zeromq.zap.{}'.format(MultiZapAuthenticator.count) self.zap_socket.bind(zapLoc) self.log.debug('Starting ZAP at {}'.format(za...
python
{ "resource": "" }
q229589
MultiZapAuthenticator.stop
train
def stop(self): """Close the ZAP socket""" if self.zap_socket: self.log.debug( 'Stopping ZAP at {}'.format(self.zap_socket.LAST_ENDPOINT)) super().stop()
python
{ "resource": "" }
q229590
AsyncioAuthenticator.start
train
def start(self): """Start ZAP authentication""" super().start() self.__poller = zmq.asyncio.Poller() self.__poller.register(self.zap_socket, zmq.POLLIN) self.__task = asyncio.ensure_future(self.__handle_zap())
python
{ "resource": "" }
q229591
AsyncioAuthenticator.stop
train
def stop(self): """Stop ZAP authentication""" if self.__task: self.__task.cancel() if self.__poller: self.__poller.unregister(self.zap_socket) self.__poller = None super().stop()
python
{ "resource": "" }
q229592
randomString
train
def randomString(size: int = 20) -> str: """ Generate a random string in hex of the specified size DO NOT use python provided random class its a Pseudo Random Number Generator and not secure enough for our needs :param size: size of the random string to generate :return: the hexadecimal random...
python
{ "resource": "" }
q229593
mostCommonElement
train
def mostCommonElement(elements: Iterable[T], to_hashable_f: Callable=None): """ Find the most frequent element of a collection. :param elements: An iterable of elements :param to_hashable_f: (optional) if defined will be used to get hashable presentation for non-hashable elements. Otherwise jso...
python
{ "resource": "" }
q229594
objSearchReplace
train
def objSearchReplace(obj: Any, toFrom: Dict[Any, Any], checked: Set[Any]=None, logMsg: str=None, deepLevel: int=None) -> None: """ Search for an attribute in an object and replace it with another. :param obj: the object to ...
python
{ "resource": "" }
q229595
runall
train
async def runall(corogen): """ Run an array of coroutines :param corogen: a generator that generates coroutines :return: list or returns of the coroutines """ results = [] for c in corogen: result = await c results.append(result) return results
python
{ "resource": "" }
q229596
prime_gen
train
def prime_gen() -> int: # credit to David Eppstein, Wolfgang Beneicke, Paul Hofstra """ A generator for prime numbers starting from 2. """ D = {} yield 2 for q in itertools.islice(itertools.count(3), 0, None, 2): p = D.pop(q, None) if p is None: D[q * q] = 2 * q ...
python
{ "resource": "" }
q229597
untilTrue
train
async def untilTrue(condition, *args, timeout=5) -> bool: """ Keep checking the condition till it is true or a timeout is reached :param condition: the condition to check (a function that returns bool) :param args: the arguments to the condition :return: True if the condition is met in the given ti...
python
{ "resource": "" }
q229598
ClientZStack.transmitToClient
train
def transmitToClient(self, msg: Any, remoteName: str): """ Transmit the specified message to the remote client specified by `remoteName`. :param msg: a message :param remoteName: the name of the remote """ payload = self.prepForSending(msg) try: if is...
python
{ "resource": "" }
q229599
CatchupRepService._has_valid_catchup_replies
train
def _has_valid_catchup_replies(self, seq_no: int, txns_to_process: List[Tuple[int, Any]]) -> Tuple[bool, str, int]: """ Transforms transactions for ledger! Returns: Whether catchup reply corresponding to seq_no Name of node from which txns came Number of tran...
python
{ "resource": "" }