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def requires_auth(func): @six.wraps(func) def wrapper(self, *args, **kwargs): if self.token_expired: self.authenticate() return func(self, *args, **kwargs) return wrapper
Handle authentication checks. .. py:decorator:: requires_auth Checks if the token has expired and performs authentication if needed.
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def reportFailed(self, *args, **kwargs): return self._makeApiCall(self.funcinfo["reportFailed"], *args, **kwargs)
Report Run Failed Report a run failed, resolving the run as `failed`. Use this to resolve a run that failed because the task specific code behaved unexpectedly. For example the task exited non-zero, or didn't produce expected output. Do not use this if the task couldn't be run because ...
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def _set_logger(logger_name, level=logging.INFO): log = logging.getLogger(logger_name) log.setLevel(level) ch = logging.StreamHandler(None) ch.setLevel(level) formatter = logging.Formatter(DebugFmtString) ch.setFormatter(formatter) l...
Convenience function to quickly configure full debug output to go to the console.
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def to_seq(o) -> Optional[ISeq]: if o is None: return None if isinstance(o, ISeq): return _seq_or_nil(o) if isinstance(o, ISeqable): return _seq_or_nil(o.seq()) return _seq_or_nil(lseq.sequence(o))
Coerce the argument o to a ISeq. If o is None, return None.
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def _create_column(values, dtype): "Creates a column from values with dtype" if str(dtype) == "tensor(int64)": return numpy.array(values, dtype=numpy.int64) elif str(dtype) == "tensor(float)": return numpy.array(values, dtype=numpy.float32) else: raise OnnxRuntimeAssertionError("...
Creates a column from values with dtype
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def local_minima(img, min_distance = 4): r fits = numpy.asarray(img) minfits = minimum_filter(fits, size=min_distance) minima_mask = fits == minfits good_indices = numpy.transpose(minima_mask.nonzero()) good_fits = fits[minima_mask] order = good_fits.argsort() return good_indices[o...
r""" Returns all local minima from an image. Parameters ---------- img : array_like The image. min_distance : integer The minimal distance between the minimas in voxels. If it is less, only the lower minima is returned. Returns ------- indices : sequence ...
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def git_tags() -> str: try: subprocess.check_call([, , ]) except CalledProcessError: pass cmd = [, , , ] rv = subprocess.check_output(cmd).decode() if rv == : raise NoGitTagsException() return rv
Calls ``git tag -l --sort=-v:refname`` (sorts output) and returns the output as a UTF-8 encoded string. Raises a NoGitTagsException if the repository doesn't contain any Git tags.
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def expand_counts(df, column, values=None): d = counts_to_dicts(df, column) if len(d) > 0: if values is None: values = set(np.concatenate(d.apply(lambda c: c.keys()).values)) for value in values: name = values[value] if type(values) is dict else str(value) ...
expand a column containing value:count dictionaries
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def get(self, digest, chunk_size=1024 * 128): return self.conn.client.blob_get(self.container_name, digest, chunk_size)
Return the contents of a blob :param digest: the hex digest of the blob to return :param chunk_size: the size of the chunks returned on each iteration :return: generator returning chunks of data
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def invertDictMapping(d): inv_map = {} for k, v in d.items(): inv_map[v] = inv_map.get(v, []) inv_map[v].append(k) return inv_map
Invert mapping of dictionary (i.e. map values to list of keys)
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def set(self, othernode): self.__class__ = othernode.__class__ self.clean() if len(othernode) > 0: for k, v in othernode.items(): self[k] = v for k, v in vars(othernode).items(): setattr(self, k, v)
allow to completly mutate the node into any subclasses of Node
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def pwm_max_score(self): if self.max_score is None: score = 0 for row in self.pwm: score += log(max(row) / 0.25 + 0.01) self.max_score = score return self.max_score
Return the maximum PWM score. Returns ------- score : float Maximum PWM score.
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def _generate_requirements(self): if not self._pip_packages: return reqs = for req in self._pip_packages: reqs += "{}\n".format(req) reqs_include = { : reqs, :, : } if not in self._files: se...
Generate the info to create requirements.txt in the toookit.
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def tx_tmpdir(data=None, base_dir=None, remove=True): base_dir = base_dir or os.getcwd() tmpdir_base = utils.get_abspath(_get_base_tmpdir(data, base_dir)) utils.safe_makedir(tmpdir_base) tmp_dir = tempfile.mkdtemp(dir=tmpdir_base) try: yield tmp_dir finally: if remove: ...
Context manager to create and remove a transactional temporary directory. Handles creating a transactional directory for running commands in. Will use either the current directory or /tmp/bcbiotx. Creates an intermediary location and time specific directory for global temporary directories to prevent ...
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def init_widget(self): w = self.widget w.setAdapter(self.adapter) w.setOnItemSelectedListener(w.getId()) w.onItemSelected.connect(self.on_item_selected) w.onNothingSelected.connect(self.on_nothing_selected) super(AndroidSpinner, self).init_widget()
Initialize the underlying widget.
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def obfn_reg(self): r l1 = np.sum(mp_wl1*np.abs(self.obfn_gvar())) return (self.lmbda*l1, l1)
r"""Compute regularisation term, :math:`\| x \|_1`, and contribution to objective function.
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def read(self, timeout=20.0): start = time() while len(self.rcv_data) == 0: sleep(0) if time() - start > timeout: raise DAPAccessIntf.De...
read data on the IN endpoint associated to the HID interface
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def save_wif_file(self, path: str) -> None: version = 1 seed_fi = b"\x01" + self.seed sha256_v1 = libnacl.crypto_hash_sha256(seed_fi) sha256_v2 = libnacl.crypto_hash_sha256(sha256_v1) checksum = sha256_v2[0:2] wif_key = Base...
Save a Wallet Import Format file (WIF) v1 :param path: Path to file
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def get_methods(self, node): methods = [ m for m in node.values() if isinstance(m, astroid.FunctionDef) and not decorated_with_property(m) and self.show_attr(m.name) ] return sorted(methods, key=lambda n: n.name)
return visible methods
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def interleaves(self, info): return info.byte_offset == self.component_type.size * self.components
Does the buffer interleave with this one?
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def construct_end_message(self): app_count = self.dfk.task_count site_count = len([x for x in self.dfk.config.executors if x.managed]) app_fails = len([t for t in self.dfk.tasks if self.dfk.tasks[t][] in FINAL_FAILURE_STATES]) message = {: self.uuid, ...
Collect the final run information at the time of DFK cleanup. Returns: - Message dict dumped as json string, ready for UDP
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def write_ase(atoms, db_file, stdout=sys.stdout, user=None, data=None, **key_value_pairs): db_ase = ase.db.connect(db_file) _normalize_key_value_pairs_inplace(key_value_pairs) id = db_ase.write(atoms, data=data, **key_value_pairs) stdout.write(.format(id)) unique_id = db_ase.get(id)[] retur...
Connect to ASE db
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def find(self, **kwargs): matches = self.findall(**kwargs) num_matches = len(matches) if not num_matches: msg = "No %s matching: %s." % (self.resource_class.__name__, kwargs) raise exc.NotFound(404, msg) if num_matches > 1: msg = "More than on...
Finds a single item with attributes matching ``**kwargs``. This isn't very efficient: it loads the entire list then filters on the Python side.
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def compiled_foreign_keys(self): def get_column_args(column): tmp = [] for arg_name, arg_val in column.items(): if arg_name not in (, , ): if arg_name in (, ): arg_val = .format(arg_val) tmp.append(...
Returns compiled foreign key definitions
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def get_members(self, show=True, proxy=None, timeout=0): title = self.params.get() pageid = self.params.get() if not title and not pageid: raise LookupError("needs category title or pageid") self._get(, show, proxy, timeout) while self.data.get(): ...
GET Mediawiki:API (action=query) category members https://www.mediawiki.org/wiki/API:Categorymembers Required {params}: title OR pageid - title: <str> article title - pageid: <int> Wikipedia database ID Optional arguments: - [show]: <bool> echo page data if true ...
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def condon_errors(source, theta_n, psf=None): alphas = {: (3. / 2, 3. / 2), : (5. / 2, 1. / 2), : (5. / 2, 1. / 2), : (1. / 2, 5. / 2), : (1. / 2, 5. / 2), : (1. / 2, 5. / 2)} major = source.a / 3600. minor = source.b / 3600...
Calculate the parameter errors for a fitted source using the description of Condon'97 All parameters are assigned errors, assuming that all params were fit. If some params were held fixed then these errors are overestimated. Parameters ---------- source : :class:`AegeanTools.models.SimpleSource...
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def ticker(rest): "Look up a ticker symbols use Yahoosl1t1p2http://finance.yahoo.com/d/quotes.csv?s=%(ticker)s&f=%(format)soh... could not find information for symbol %s" % ticker return % locals()
Look up a ticker symbol's current trading value
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def attach(self, **kwargs): return self.client.api.attach(self.id, **kwargs)
Attach to this container. :py:meth:`logs` is a wrapper around this method, which you can use instead if you want to fetch/stream container output without first retrieving the entire backlog. Args: stdout (bool): Include stdout. stderr (bool): Include stderr. ...
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def encodeValue(self, value, toBeAdded=True): encodedValue = np.array(self.encoder.encode(value), dtype=realDType) if toBeAdded: self.encodings.append(encodedValue) self.numEncodings+=1 return encodedValue
Value is encoded as a sdr using the encoding parameters of the Field
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def create_extracted_license(self, lic): licenses = list(self.graph.triples((None, self.spdx_namespace.licenseId, lic.identifier))) if len(licenses) != 0: return licenses[0][0] else: license_node = BNode() type_triple = (license_node, RDF.type, self...
Handle extracted license. Return the license node.
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def partition_block(block): result = [block] if not block.is_partitionable: return result EDP = END_PROGRAM_LABEL + for i in range(len(block) - 1): if i and block.asm[i] == EDP: block, new_block = block_partition(block, i - 1) LABELS[END_PROGRAM_LABEL]....
If a block is not partitionable, returns a list with the same block. Otherwise, returns a list with the resulting blocks, recursively.
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def _ParseRecordLogline(self, parser_mediator, structure): date_time = dfdatetime_time_elements.TimeElementsInMilliseconds() try: datetime_iso8601 = self._GetISO8601String(structure.date_time) date_time.CopyFromStringISO8601(datetime_iso8601) except ValueError: parser_mediator.Produc...
Parses a logline record structure and produces events. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and dfvfs. structure (pyparsing.ParseResults): structure of tokens derived from a line of a text file.
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def add_snmp_community(self, **kwargs): community = kwargs.pop() callback = kwargs.pop(, self._callback) config = ET.Element() snmp_server = ET.SubElement(config, , xmlns=("urn:brocade.com:mgmt:" "br...
Add SNMP Community to NOS device. Args: community (str): Community string to be added to device. callback (function): A function executed upon completion of the method. The only parameter passed to `callback` will be the ``ElementTree`` `config`. ...
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def _get_ontology(ontology): onto_name = onto_path = onto_url = None if os.path.exists(ontology): onto_name = os.path.split(os.path.abspath(ontology))[1] onto_path = os.path.abspath(ontology) onto_url = "" else: discovered_file = _discover_ontology(ontolog...
Return the (name, path, url) to the short ontology name. :param ontology: path to the file or url.
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def _module_info_to_proto(module_info, export_scope=None): def strip_name_scope(name_scope): return ops.strip_name_scope(name_scope, export_scope) def process_leafs(value): return strip_name_scope(_graph_element_to_path(value)) module_info_def = module_pb2.SonnetModule( module_name=module_info.mo...
Serializes `module_into`. Args: module_info: An instance of `ModuleInfo`. export_scope: Optional `string`. Name scope to remove. Returns: An instance of `module_pb2.SonnetModule`.
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def _init_client(self, from_archive=False): return MattermostClient(self.url, self.api_token, max_items=self.max_items, sleep_for_rate=self.sleep_for_rate, min_rate_to_sleep=self.min_rate_to_sleep, ...
Init client
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def stop(self): self.ready = False sock = getattr(self, "socket", None) if sock: if not isinstance(self.bind_addr, basestring): try: host, port = sock.getsockname()[:2] except socket.error, x: ...
Gracefully shutdown a server that is serving forever.
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def _kafka_failure(self, item, spider, response): item[] = False item[] = traceback.format_exc() item[] = spider.name item = self._clean_item(item) self.logger.error("Failed to send page to Kafka", item)
Callback for failed send
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def one_step( objective_function, population, population_values=None, differential_weight=0.5, crossover_prob=0.9, seed=None, name=None): with tf.compat.v1.name_scope( name, , [population, population_values, differential_weight, crossover_prob]): population, _ = _ensure_...
Performs one step of the differential evolution algorithm. Args: objective_function: A Python callable that accepts a batch of possible solutions and returns the values of the objective function at those arguments as a rank 1 real `Tensor`. This specifies the function to be minimized. The inpu...
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def timestamp_any(value): return int(calendar.timegm(dateutil.parser.parse(value).utctimetuple()))
Convert timestamp string to time in seconds since epoch. Most timestamps strings are supported in fact this wraps the dateutil.parser.parse() method. This is SLOW use the other timestamp_*() functions if possible. Args: value: A timestamp string. Returns: The time in seconds since...
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def methodcallPayload(self, methodname, obj, namespace, **kwargs): if isinstance(obj, CIMInstanceName): path = obj.copy() path.host = None path.namespace = None localpath = cim_xml.LOCALINSTANCEPATH( cim_xml.LOCALNAMESPACEPATH( ...
Generate the XML payload for an extrinsic methodcall.
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def vcsNodeState_originator_switch_info_switchIpV4Address(self, **kwargs): config = ET.Element("config") vcsNodeState = ET.SubElement(config, "vcsNodeState", xmlns="urn:brocade.com:mgmt:brocade-vcs") originator_switch_info = ET.SubElement(vcsNodeState, "originator-switch-info") ...
Auto Generated Code
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def getIDsFromFiles(files): if type(files) is str: files=glob.glob(files+"/*.*") IDs=[] for fname in files: if fname[-4:].lower()==: ext=fname.split()[-1] IDs.append(os.path.basename(fname).replace(+ext,)) return sorted(IDs)
given a path or list of files, return ABF IDs.
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def _get_initialized_channels_dict_for_service(self, org_id, service_id): fn = self._get_channels_info_file(org_id, service_id) if (os.path.isfile(fn)): return pickle.load( open( fn, "rb" ) ) else: return {}
return {channel_id: channel}
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def mask(array, predicates, new_value, ty): weld_obj = WeldObject(encoder_, decoder_) array_var = weld_obj.update(array) if isinstance(array, WeldObject): array_var = array.obj_id weld_obj.dependencies[array_var] = array predicates_var = weld_obj.update(predicates) if isinstan...
Returns a new array, with each element in the original array satisfying the passed-in predicate set to `new_value` Args: array (WeldObject / Numpy.ndarray): Input array predicates (WeldObject / Numpy.ndarray<bool>): Predicate set new_value (WeldObject / Numpy.ndarray / str): mask value ...
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def get_file_service_properties(self, timeout=None): s File service, including Azure Storage Analytics. :param int timeout: The timeout parameter is expressed in seconds. :return: The file service properties. :rtype: :class:`~azure.storage.common.models.S...
Gets the properties of a storage account's File service, including Azure Storage Analytics. :param int timeout: The timeout parameter is expressed in seconds. :return: The file service properties. :rtype: :class:`~azure.storage.common.models.ServiceProperties`
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def get_synth_input_fn(height, width, num_channels, num_classes): def input_fn(is_training, data_dir, batch_size, *args, **kwargs): images = tf.zeros((batch_size, height, width, num_channels), tf.float32) labels = tf.zeros((batch_size, num_classes), tf.int32) return tf.data.Dataset.from_tensors((imag...
Returns an input function that returns a dataset with zeroes. This is useful in debugging input pipeline performance, as it removes all elements of file reading and image preprocessing. Args: height: Integer height that will be used to create a fake image tensor. width: Integer width that will be used t...
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def should_build(self, fpath, meta): if meta.get(, self.default_template) in self.inc_layout: if self.prev_mtime.get(fpath, 0) == os.path.getmtime(fpath): return False else: return True return True
Checks if the file should be built or not Only skips layouts which are tagged as INCREMENTAL Rebuilds only those files with mtime changed since previous build
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def delete(self, storagemodel:object, modeldefinition = None) -> bool: deleted = False if (storagemodel.id != ) and (storagemodel.pop_receipt != ) and (not storagemodel.id is None) and (not storagemodel.pop_receipt is None): try: modeldefinition[].delete_message(stor...
delete the message in queue
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def resize(self, dims): width, height = dims[:2] self.dims = (width, height) self.logger.debug("renderer reconfigured to %dx%d" % ( width, height)) self.surface = agg.Draw(self.rgb_order, self.dims, )
Resize our drawing area to encompass a space defined by the given dimensions.
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def get_tree(config=None): path = os.path.dirname(os.path.abspath(__file__)) pypath = os.path.realpath(os.path.join(path, , )) if pypath not in sys.path: sys.path.append(pypath) os.chdir(pypath) from tree.tree import Tree tree = Tree(config=config) return tree
Get the tree for a given config Parameters: config (str): The name of the tree config to load Returns: a Python Tree instance
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def create_sockets(self): ports = self.ports context = zmq.Context() poller = zmq.Poller() rep = context.socket(zmq.REP) if "REQ" in ports: rep.bind( "tcp://*:{port}".format(port=ports["REQ"]) ...
create zmq sockets
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def _parse_arguments(): parser = argparse.ArgumentParser( description= ) parser.add_argument( , , action=, help= ) parser.add_argument( , , help= ) parser.add_argument( , , action=, help= ...
Constructs and parses the command line arguments for eg. Returns an args object as returned by parser.parse_args().
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def _pool_put(pool_semaphore, tasks, put_to_pool_in, pool_size, id_self, \ is_stopping): log.debug( % id_self) last_tasks = {} for task in xrange(tasks.lenght): last_tasks[task] = -1 stop_tasks = [] while True: if is...
(internal) Intended to be run in a seperate thread. Feeds tasks into to the pool whenever semaphore permits. Finishes if self._stopping is set.
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def calculate_similarity(container1=None, container2=None, comparison=None, metric=None): if metric is None: metric = information_coefficient if comparison == None: comparison = compare_containers(container1=contai...
calculate_similarity will calculate similarity of two containers by files content, default will calculate 2.0*len(intersect) / total package1 + total package2 Parameters ========== container1: container 1 container2: container 2 must be defined or metric a function to take a total...
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def _acking(self, params=None): while self._is_running: try: t, num_try, (ip, port), packet = self._to_ack.get( timeout=self._select_timeout ) except queue.Empty: continue diff = t ...
Packet acknowledge and retry loop :param params: Ignore :type params: None :rtype: None
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def apply_defaults(self, instance): for field, spec in self.doc_spec.iteritems(): field_type = spec[] if field not in instance: if in spec: default = spec[] if callable(default): instance[field] = d...
Applies the defaults described by the this schema to the given document instance as appropriate. Defaults are only applied to fields which are currently unset.
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def set_pattern_step_time(self, patternnumber, stepnumber, timevalue): _checkPatternNumber(patternnumber) _checkStepNumber(stepnumber) _checkTimeValue(timevalue, self.time_max) address = _calculateRegisterAddress(, patternnumber, stepnumber) self.write_register(...
Set the step time. Args: * patternnumber (integer): 0-7 * stepnumber (integer): 0-7 * timevalue (integer??): 0-900
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def set_lcm_config(config_mode=None, config_mode_freq=None, refresh_freq=None, reboot_if_needed=None, action_after_reboot=None, refresh_mode=None, certificate_id=None, configuration_id=No...
For detailed descriptions of the parameters see: https://msdn.microsoft.com/en-us/PowerShell/DSC/metaConfig config_mode (str): How the LCM applies the configuration. Valid values are: - ApplyOnly - ApplyAndMonitor - ApplyAndAutoCorrect config_mode_freq (int): How often, in...
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def update(self, domain, type_name, search_command, body): return self._request(domain, type_name, search_command, , body)
Update entry in ThreatConnect Data Store Args: domain (string): One of 'local', 'organization', or 'system'. type_name (string): This is a free form index type name. The ThreatConnect API will use this resource verbatim. search_command (string): Search comman...
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def merge_nodes(self, partition, consider_comms=None): if (consider_comms is None): consider_comms = self.consider_comms diff = _c_leiden._Optimiser_merge_nodes(self._optimiser, partition._partition, consider_comms) partition._update_internal_membership() return diff
Merge nodes for *optimising* the partition. Parameters ---------- partition The partition for which to merge nodes. consider_comms If ``None`` uses :attr:`consider_comms`, but can be set to something else. Returns ------- float Improvement in quality function. ...
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def cancelRequest(self, requestId, reason=None, _=None): if reason is None: reason = CancelledError() tReq = self.requests.pop(requestId) tReq.d.errback(reason)
Cancel a request: remove it from requests, & errback the deferred. NOTE: Attempts to cancel a request which is no longer tracked (expectResponse == False and already sent, or response already received) will raise KeyError
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def _per_era_supply(self, block_height): coins = 0 for era in self.supply_data[]: end_block = era[] start_block = era[] reward = era[] if not end_block or block_height <= end_block: blocks_this_era = block_height - start_block ...
Calculate the coin supply based on 'eras' defined in crypto_data. Some currencies don't have a simple algorithmically defined halfing schedule so coins supply has to be defined explicitly per era.
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def unreferenced_vert(script): if script.ml_version == : filter_xml = else: filter_xml = util.write_filter(script, filter_xml) return None
Check for every vertex on the mesh: if it is NOT referenced by a face, removes it. Args: script: the FilterScript object or script filename to write the filter to. Layer stack: No impacts MeshLab versions: 2016.12 1.3.4BETA
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def place(self, part: str, val: Union[, ]): if part.startswith(): if self.param and self.param != part: err = raise ParamAlreadyExist(err.format(part, self=self)) self.param = val self.param_name = part return val ...
place a leaf node
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def func_desc_poco(self, step): desc = { "touch": u"点击UI组件 {name}".format(name=step.get("text", "")), } if step[] in desc: return desc.get(step[]) else: return self._translate_desc(step)
把对应的poco操作显示成中文
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def increment_timeperiod(time_qualifier, timeperiod, delta=1): pattern = define_pattern(timeperiod) t = datetime.strptime(timeperiod, pattern) if time_qualifier == QUALIFIER_HOURLY: t = t + timedelta(hours=delta) return t.strftime(SYNERGY_HOURLY_PATTERN) elif time_qualifier == QU...
method performs simple increment/decrement of the timeperiods For instance: 2010010119 with delta=1 -> 2010010120 Or 2010010000 with delta=-1 -> 2009120000, etc
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def guess_lexer_for_filename(_fn, _text, **options): fn = basename(_fn) primary = {} matching_lexers = set() for lexer in _iter_lexerclasses(): for filename in lexer.filenames: if _fn_matches(fn, filename): matching_lexers.add(lexer) primary[lexer...
Lookup all lexers that handle those filenames primary (``filenames``) or secondary (``alias_filenames``). Then run a text analysis for those lexers and choose the best result. usage:: >>> from pygments.lexers import guess_lexer_for_filename >>> guess_lexer_for_filename('hello.html', '<%= @...
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def tangent(obj, params, **kwargs): normalize = kwargs.get(, True) if isinstance(obj, abstract.Curve): if isinstance(params, (list, tuple)): return ops.tangent_curve_single_list(obj, params, normalize) else: return ops.tangent_curve_single(obj, params, normalize) ...
Evaluates the tangent vector of the curves or surfaces at the input parameter values. This function is designed to evaluate tangent vectors of the B-Spline and NURBS shapes at single or multiple parameter positions. :param obj: input shape :type obj: abstract.Curve or abstract.Surface :param param...
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def alloc_retrieve_subnet_info(self, tenant_id, direc): serv_obj = self.get_service_obj(tenant_id) subnet_dict = self.retrieve_dcnm_subnet_info(tenant_id, direc) if subnet_dict: return subnet_dict ip_subnet_dict = self.get_next_ip(tenant_id, direc) subnet_dic...
Allocate and store Subnet. This function initially checks if subnet is allocated for a tenant for the in/out direction. If not, it calls routine to allocate a subnet and stores it on tenant object.
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def find_person_by_id(self, person_id): url = params = { : self.client_id, : person_id } r = requests.get(url, params=params) check_error(r) return r.json()
doc: http://open.youku.com/docs/docs?id=87
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def log_the_survey_settings( log, pathToYamlFile): import yaml from datetime import datetime, date, time now = datetime.now() now = now.strftime("%Y%m%dt%H%M%S") fileName = pathToYamlFile stream = file(fileName, ) yamlContent = yaml.load(st...
*Create a MD log of the survey settings* **Key Arguments:** - ``log`` -- logger - ``pathToYamlFile`` -- yaml results file **Return:** - None
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def times(x, y): def decorator(fn): def wrapped(*args, **kwargs): n = random.randint(x, y) for z in range(1, n): fn(*args, **kwargs) return wrapped return decorator
Do something a random amount of times between x & y
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def filter(self, **kwargs): value__nevaluevalueothervaluevalue selfCopy = self.__copy__() return IndexedRedisQuery._filter(selfCopy, **kwargs)
filter - Add filters based on INDEXED_FIELDS having or not having a value. Note, no objects are actually fetched until .all() is called Use the field name [ model.objects.filter(some_field='value')] to filter on items containing that value. Use the field name suffxed with '__ne' for a negation filter [ mo...
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def _wavReadData(fid, size:int, channels:int, encoding:str, bigendian:bool) -> np.ndarray: bits = int(encoding[3:]) if bits == 8: data = np.fromfile(fid, dtype=np.ubyte, count=size) if channels > 1: data = d...
adapted from scipy.io.wavfile._read_data_chunk assume we are at the data (after having read the size)
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def _deserialize(self, value, attr, data): value = super(SanitizedHTML, self)._deserialize(value, attr, data) return bleach.clean( value, tags=self.tags, attributes=self.attrs, strip=True, ).strip()
Deserialize string by sanitizing HTML.
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def read_scenarios(filename): filename = os.path.abspath(filename) blocks = {} parser = ConfigParser() return blocks
Read keywords dictionary from file. :param filename: Name of file holding scenarios . :return Dictionary of with structure like this {{ 'foo' : { 'a': 'b', 'c': 'd'}, { 'bar' : { 'd': 'e', 'f': 'g'}} A scenarios file may look like this: [jakarta_flood] hazard: /path/t...
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def H_donor_count(mol): mol.require("Valence") return sum(1 for _, a in mol.atoms_iter() if a.H_donor)
Hydrogen bond donor count
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def __get_default_settings(self): LOGGER.debug("> Accessing default settings file!".format(UiConstants.settings_file)) self.__default_settings = QSettings( umbra.ui.common.get_resource_path(UiConstants.settings_file), QSettings.IniFormat)
Gets the default settings.
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def update_network(network, update_nodes = True, update_links = True, update_groups = True, update_scenarios = True, **kwargs): log.info("Updating Network %s", network.name) user_id = kwargs.get() try: net_i = db.DBSession.query(Network).filter(Network.id == network.id...
Update an entire network
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def execute(self, offset=0, **query): _params = self._build_query(**query) self._page_offset = offset _params.update( offset=self._page_offset, limit=min(self._page_size, self._limit) ) logger.debug( % (_params[], _params[])...
Executes a query. Additional query parameters can be passed as keyword arguments. Returns: The request parameters and the raw query response.
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def create(cls, value): if isinstance(value, bytes): value = value.decode() if isinstance(value, str): comma_separated_exprs = cls._split_modifier_expr(value) if len(comma_separated_exprs) > 1: return cls.merge([cls.create(x) for x in comma_separated_exprs]) action = cls.MOD...
Interpret value as either a list or something to extend another list with. Note that we accept tuple literals, but the internal value is always a list. :param value: The value to convert. Can be an instance of ListValueComponent, a list, a tuple, a string representation of a list or tuple (...
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def _to_dict(self): _dict = {} if hasattr(self, ) and self.field_name is not None: _dict[] = self.field_name if hasattr(self, ) and self.field_type is not None: _dict[] = self.field_type return _dict
Return a json dictionary representing this model.
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def get_dimension_type(self, dim): dim_obj = self.get_dimension(dim) if dim_obj and dim_obj.type is not None: return dim_obj.type return self.interface.dimension_type(self, dim_obj)
Get the type of the requested dimension. Type is determined by Dimension.type attribute or common type of the dimension values, otherwise None. Args: dimension: Dimension to look up by name or by index Returns: Declared type of values along the dimension
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def flex_loader(alias): if not alias.startswith(): return try: if alias.startswith(): import pyamf.flex.messaging elif alias.startswith(): import pyamf.flex elif alias.startswith(): import pyamf.flex.data return CLASS_CACHE[alias...
Loader for L{Flex<pyamf.flex>} framework compatibility classes. @raise UnknownClassAlias: Trying to load an unknown Flex compatibility class.
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def logpdf(self, mu): if self.transform is not None: mu = self.transform(mu) return -np.log(float(self.sigma0)) - (0.5*(mu-self.mu0)**2)/float(self.sigma0**2)
Log PDF for Normal prior Parameters ---------- mu : float Latent variable for which the prior is being formed over Returns ---------- - log(p(mu))
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def dictify_device_meta(device_object): try: if isinstance(device_object[][][], str) or \ isinstance(device_object[][][], unicode): device_object[][][] =\ json.loads(device_object[][][]) except ValueError as err: print("dictify: {0}".format(err)) ...
Input: Portals device object. Output: The same device object with the device meta converted to a python dictionary.
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def _init_metadata(self): super(edXNumericResponseQuestionFormRecord, self)._init_metadata() QuestionTextFormRecord._init_metadata(self) QuestionFilesFormRecord._init_metadata(self)
stub
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def tolocal(self): from thunder.series.readers import fromarray if self.mode == : logging.getLogger().warn() pass return fromarray(self.toarray(), index=self.index, labels=self.labels)
Convert to local mode.
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def safety_set_allowed_area_send(self, target_system, target_component, frame, p1x, p1y, p1z, p2x, p2y, p2z, force_mavlink1=False): return self.send(self.safety_set_allowed_area_encode(target_system, target_component, frame, p1x, p1y, p1z, p2x, p2y, p2z), force_mavlink1=force_mavlink1)
Set a safety zone (volume), which is defined by two corners of a cube. This message can be used to tell the MAV which setpoints/MISSIONs to accept and which to reject. Safety areas are often enforced by national or competition regulations. ...
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def delays(self, delays=[]): if delays: return self._session.put( self.__v1() + "/delays", data=json.dumps(delays)).json() else: return self._session.get(self.__v1() + "/delays").json()
Gets / Sets the delays.
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def _create_embedded_template_draft(self, client_id, signer_roles, test_mode=False, files=None, file_urls=None, title=None, subject=None, message=None, cc_roles=None, merge_fields=None, use_preexisting_fields=False): url = self.TEMPLATE_CREATE_EMBEDDED_DRAFT_URL payload = { : self...
Helper method for creating embedded template drafts. See public function for params.
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def result(self, result): if result is None: raise ValueError("Invalid value for `result`, must not be `None`") allowed_values = ["OK", "ERROR"] if result not in allowed_values: raise ValueError( "Invalid value for `result` ({0}), must be one ...
Sets the result of this ResponseStatus. :param result: The result of this ResponseStatus. # noqa: E501 :type: str
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def params_section(thing, doc, header_level): lines = [] class_doc = doc["Parameters"] return type_list( inspect.signature(thing), class_doc, " )
Generate markdown for Parameters section. Parameters ---------- thing : functuon Function to produce parameters from doc : dict Dict from numpydoc header_level : int Number of `#`s to use for header Returns ------- list of str Markdown for examples secti...
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def _handle_candles(self, dtype, data, ts): self.log.debug("_handle_candles: %s - %s - %s", dtype, data, ts) channel_id, *data = data channel_identifier = self.channel_directory[channel_id] entry = (data, ts) self.candles[channel_identifier].put(entry)
Stores OHLC data received via wss in self.candles[chan_id]. :param dtype: :param data: :param ts: :return:
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def updateAcqEraEndDate(self, acquisition_era_name ="", end_date=0): try: self.dbsAcqEra.UpdateAcqEraEndDate( acquisition_era_name, end_date) except dbsException as de: dbsExceptionHandler(de.eCode, de.message, self.logger.exception, de.message) except HTTPError ...
API to update the end_date of an acquisition era :param acquisition_era_name: acquisition_era_name to update (Required) :type acquisition_era_name: str :param end_date: end_date not zero (Required) :type end_date: int
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def grid(self, force_rerun=False): log.debug(.format(self.id)) if not self.receptormol2_path or not self.box_path: return ValueError() gridscript = op.join(self.dock_dir, "{}_grid.in".format(self.id)) out_name = op.join(self.dock_dir, "{}_grid.out".format(self.id))...
Create the scoring grid within the dummy box. Args: force_rerun (bool): If method should be rerun even if output file exists
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def link(self, src, dst, label=None): dst = self._normalize(dst) self._tag(dst, label) self._ensure_parent(dst) abs_src = src abs_dst = os.path.join(self.chroot, dst) safe_copy(abs_src, abs_dst, overwrite=False)
Hard link file from ``src`` to ``chroot/dst`` with optional label. May raise anything os.link can raise, e.g. IOError(Errno 21 'EISDIR') May raise ChrootTaggingException if dst is already in a fileset but with a different label.
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def _psdn(timeseries, method_func, *args, **kwargs): try: timeseries, other = timeseries except ValueError: return method_func(timeseries, kwargs.pop(), *args, **kwargs) else: return method_func(timeseries, other, kwargs.pop(), *args, **kwarg...
Generate a PSD using a method function with FFT arguments in samples All arguments are presumed to be in sample counts, not physical units Parameters ---------- timeseries : `~gwpy.timeseries.TimeSeries`, `tuple` the data to process, or a 2-tuple of series to correlate method_func : `call...
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def mergeNewMSBWT(mergedDir, inputBwtDirs, numProcs, logger): re allowed to use @param logger - output goes here NOTE: in practice, since we msbwts[i] = MultiStringBWT.loadBWT(dirName, logger) mergedLength += msbwts[i].totalSize binSize = 2**28 ...
This function will take a list of input BWTs (compressed or not) and merge them into a single BWT @param mergedFN - the destination for the final merged MSBWT @param inputBWTFN1 - the fn of the first BWT to merge @param inputBWTFN2 - the fn of the second BWT to merge @param numProcs - number of processe...