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def is_valid_python(code, reraise=True, ipy_magic_workaround=False): import ast try: if ipy_magic_workaround: code = .join([ if re.match(r, line) else line for line in code.split()]) ast.parse(code) except SyntaxError: if reraise: import utool as ut ...
References: http://stackoverflow.com/questions/23576681/python-check-syntax
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def stream_replicate(): stream = primary.stream(SomeDataBlob, "trim_horizon") next_heartbeat = pendulum.now() while True: now = pendulum.now() if now >= next_heartbeat: stream.heartbeat() next_heartbeat = now.add(minutes=10) record = next(stream) ...
Monitor changes in approximately real-time and replicate them
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def set_polling_override(self, override): polling_override = self.get_characteristic_handle_from_uuid(UUID_POLLING_OVERRIDE) if polling_override is None: logger.warn() return False if self.dongle._write_attribute(self.conn_handle, polling_override, struc...
Set the sensor polling timer override value in milliseconds. Due to the time it takes to poll all the sensors on up to 5 IMUs, it's not possible for the SK8 firmware to define a single fixed rate for reading new samples without it being artificially low for most configurations. ...
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def bls_stats_singleperiod(times, mags, errs, period, magsarefluxes=False, sigclip=10.0, perioddeltapercent=10, nphasebins=200, mintransitduration=0.01, maxtr...
This calculates the SNR, depth, duration, a refit period, and time of center-transit for a single period. The equation used for SNR is:: SNR = (transit model depth / RMS of LC with transit model subtracted) * sqrt(number of points in transit) NOTE: you should set the kwargs `sigclip...
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def cluster_coincs_multiifo(stat, time_coincs, timeslide_id, slide, window, argmax=numpy.argmax): time_coinc_zip = zip(*time_coincs) if len(time_coinc_zip) == 0: logging.info() return numpy.array([]) time_avg_num = [] for tc in time_coinc_zip: time_avg_num.append(mean_...
Cluster coincident events for each timeslide separately, across templates, based on the ranking statistic Parameters ---------- stat: numpy.ndarray vector of ranking values to maximize time_coincs: tuple of numpy.ndarrays trigger times for each ifo, or -1 if an ifo does not particip...
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def pemp(stat, stat0): assert len(stat0) > 0 assert len(stat) > 0 stat = np.array(stat) stat0 = np.array(stat0) m = len(stat) m0 = len(stat0) statc = np.concatenate((stat, stat0)) v = np.array([True] * m + [False] * m0) perm = np.argsort(-statc, kind="mergesort") v = v...
Computes empirical values identically to bioconductor/qvalue empPvals
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def c2ln(c,l1,l2,n): "char[n] to two unsigned long???" c = c + n l1, l2 = U32(0), U32(0) f = 0 if n == 8: l2 = l2 | (U32(c[7]) << 24) f = 1 if f or (n == 7): l2 = l2 | (U32(c[6]) << 16) f = 1 if f or (n == 6): l2 = l2 | (U32(c[5]) << 8) f = 1 ...
char[n] to two unsigned long???
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def get_datasets_list(self, project_id=None): dataset_project_id = project_id if project_id else self.project_id try: datasets_list = self.service.datasets().list( projectId=dataset_project_id).execute(num_retries=self.num_retries)[] self.log.info("Datas...
Method returns full list of BigQuery datasets in the current project .. seealso:: For more information, see: https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/list :param project_id: Google Cloud Project for which you try to get all datasets ...
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def files_to_pif(files, verbose=0, quality_report=True, inline=True): found_parser = False for possible_parser in [PwscfParser, VaspParser]: try: parser = possible_parser(files) found_parser = True break except InvalidIngesterException: ...
Given a directory that contains output from a DFT calculation, parse the data and return a pif object Input: files - [str] list of files from which the parser is allowed to read. verbose - int, How much status messages to print Output: pif - ChemicalSystem, Results and settings...
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def transform(function): def transform_fn(_, result): if isinstance(result, Nothing): return result lgr.debug("Transforming %r with %r", result, function) try: return function(result) except: exctype, value...
Return a processor for a style's "transform" function.
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def vb_get_network_addresses(machine_name=None, machine=None, wait_for_pattern=None): if machine_name: machine = vb_get_box().findMachine(machine_name) ip_addresses = [] log.debug("checking for power on:") if machine.state == _virtualboxManager.constants.MachineState_Running: log....
TODO distinguish between private and public addresses A valid machine_name or a machine is needed to make this work! !!! Guest prerequisite: GuestAddition !!! Thanks to Shrikant Havale for the StackOverflow answer http://stackoverflow.com/a/29335390 More information on guest properties: http...
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def seq_2_StdStringVector(seq, vec=None): if vec is None: if isinstance(seq, StdStringVector): return seq vec = StdStringVector() if not isinstance(vec, StdStringVector): raise TypeError() for e in seq: vec.append(str(e)) return vec
Converts a python sequence<str> object to a :class:`tango.StdStringVector` :param seq: the sequence of strings :type seq: sequence<:py:obj:`str`> :param vec: (optional, default is None) an :class:`tango.StdStringVector` to be filled. If None is given, a new :class:`tango.Std...
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def get_molo_comments(parser, token): keywords = token.contents.split() if len(keywords) != 5 and len(keywords) != 7 and len(keywords) != 9: raise template.TemplateSyntaxError( " tag takes exactly 2,4 or 6 arguments" % (keywords[0],)) if keywords[1] != : raise template.Templ...
Get a limited set of comments for a given object. Defaults to a limit of 5. Setting the limit to -1 disables limiting. Set the amount of comments to usage: {% get_molo_comments for object as variable_name %} {% get_molo_comments for object as variable_name limit amount %} {% get_mo...
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def user(self, login=None): if login: url = self._build_url(, login) else: url = self._build_url() json = self._json(self._get(url), 200) return User(json, self._session) if json else None
Returns a User object for the specified login name if provided. If no login name is provided, this will return a User object for the authenticated user. :param str login: (optional) :returns: :class:`User <github3.users.User>`
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def dump(self): return { "key": self._key, "status": self._status, "ttl": self._ttl, "answer": self._answer.word, "mode": self._mode.dump(), "guesses_made": self._guesses_made }
Dump (return) a dict representation of the GameObject. This is a Python dict and is NOT serialized. NB: the answer (a DigitWord object) and the mode (a GameMode object) are converted to python objects of a list and dict respectively. :return: python <dict> of the GameObject as detailed ...
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def get_surface_as_bytes(self, order=None): arr8 = self.get_surface_as_array(order=order) return arr8.tobytes(order=)
Returns the surface area as a bytes encoded RGB image buffer. Subclass should override if there is a more efficient conversion than from generating a numpy array first.
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def keyword(self) -> Tuple[Optional[str], str]: i1 = self.yang_identifier() if self.peek() == ":": self.offset += 1 i2 = self.yang_identifier() return (i1, i2) return (None, i1)
Parse a YANG statement keyword. Raises: EndOfInput: If past the end of input. UnexpectedInput: If no syntactically correct keyword is found.
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def get_episodes(self, series_id, **kwargs): params = {: 1} for arg, val in six.iteritems(kwargs): if arg in EPISODES_BY: params[arg] = val return self._exec_request( , path_args=[series_id, , ], params=params)[]
All episodes for a given series. Paginated with 100 results per page. .. warning:: authorization token required The following search arguments currently supported: * airedSeason * airedEpisode * imdbId * dvdSeason * dvd...
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def _fourier(self): freq_bin_upper = 2000 freq_bin_lower = 40 fs = self._metadata[] Y_transformed = {} for key in self.Y_dict.keys(): fs = self._metadata["fs"] Y_transformed[key] = (1./fs)*np.fft.fft(self.Y_dict[key])[freq_bin_lower:...
1 side Fourier transform and scale by dt all waveforms in catalog
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def callback(self, request, **kwargs): try: client = self.get_evernote_client() us = UserService.objects.get(user=request.user, name=ServicesActivated.objects.get(name=)) us.token = client....
Called from the Service when the user accept to activate it
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def bresenham(x1, y1, x2, y2): points = [] issteep = abs(y2-y1) > abs(x2-x1) if issteep: x1, y1 = y1, x1 x2, y2 = y2, x2 rev = False if x1 > x2: x1, x2 = x2, x1 y1, y2 = y2, y1 rev = True deltax = x2 - x1 deltay = abs(y2-y1) error = int(deltax...
Return a list of points in a bresenham line. Implementation hastily copied from RogueBasin. Returns: List[Tuple[int, int]]: A list of (x, y) points, including both the start and end-points.
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def upload_file(self, path=None, stream=None, name=None, **kwargs): params = "&".join(["%s=%s" % (k, v) for k, v in kwargs.items()]) url = "http://{master_addr}:{master_port}/dir/assign{params}".format( master_addr=self.master_addr, master_port=self.master_port, ...
Uploads file to WeedFS I takes either path or stream and name and upload it to WeedFS server. Returns fid of the uploaded file. :param string path: :param string stream: :param string name: :rtype: string or None
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def _lemmatise_roman_numerals(self, form, pos=False, get_lemma_object=False): if estRomain(form): _lemma = Lemme( cle=form, graphie_accentuee=form, graphie=form, parent=self, origin=0, pos="a", modele=self.modele("inv") ) yield Lemmati...
Lemmatise un mot f si c'est un nombre romain :param form: Mot à lemmatiser :param pos: Récupère la POS :param get_lemma_object: Retrieve Lemma object instead of string representation of lemma
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def configs_in(src_dir): for filename in files_in_dir(src_dir, ): with open(os.path.join(src_dir, filename), ) as in_f: yield json.load(in_f)
Enumerate all configs in src_dir
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def compute_bbox_with_margins(margin, x, y): pos = np.asarray((x, y)) minxy, maxxy = pos.min(axis=1), pos.max(axis=1) xy1 = minxy - margin*(maxxy - minxy) xy2 = maxxy + margin*(maxxy - minxy) return tuple(xy1), tuple(xy2)
Helper function to compute bounding box for the plot
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def solve(self, assumptions=[]): if self.minicard: if self.use_timer: start_time = time.clock() def_sigint_handler = signal.signal(signal.SIGINT, signal.SIG_DFL) self.status = pysolvers.minicard_solve(self.minicard, assumptions) ...
Solve internal formula.
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def supported_tags(self, interpreter=None, force_manylinux=True): if interpreter and not self.is_extended: return _get_supported_for_any_abi( platform=self.platform, impl=interpreter.identity.abbr_impl, version=interpreter.identity.impl_ver, force_many...
Returns a list of supported PEP425 tags for the current platform.
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def unqueue(self, timeout=10, should_wait=False): start, now = time.time(), time.time() wait = self.queue.empty() and should_wait while (not self.queue.empty() or wait) and (now - start) < timeout: if wait and self.queue.empty(): time.sleep(0.25) ...
Unqueue all the received ensime responses for a given file.
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def _check_all_devices_in_sync(self): In Sync if len(self._get_devices_by_failover_status()) != \ len(self.devices): msg = "Expected all devices in group to have status." raise UnexpectedDeviceGroupState(msg)
Wait until all devices have failover status of 'In Sync'. :raises: UnexpectedClusterState
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def get_top_sentences(self): if isinstance(self.__top_sentences, int) is False: raise TypeError("The type of __top_sentences must be int.") return self.__top_sentences
getter
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def create_fork(self, repo): assert isinstance(repo, github.Repository.Repository), repo url_parameters = { "org": self.login, } headers, data = self._requester.requestJsonAndCheck( "POST", "/repos/" + repo.owner.login + "/" + repo.name + "/fo...
:calls: `POST /repos/:owner/:repo/forks <http://developer.github.com/v3/repos/forks>`_ :param repo: :class:`github.Repository.Repository` :rtype: :class:`github.Repository.Repository`
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def thresholdBlocks(self, blocks, recall_weight=1.5): candidate_records = itertools.chain.from_iterable(self._blockedPairs(blocks)) probability = core.scoreDuplicates(candidate_records, self.data_model, sel...
Returns the threshold that maximizes the expected F score, a weighted average of precision and recall for a sample of blocked data. Arguments: blocks -- Sequence of tuples of records, where each tuple is a set of records covered by a blocking predicate recall...
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def aggregate(self, query: Optional[dict] = None, group: Optional[dict] = None, order_by: Optional[tuple] = None) -> List[IModel]: raise NotImplementedError
Get aggregated results : param query: Rulez based query : param group: Grouping structure : param order_by: Tuple of ``(field, order)`` where ``order`` is ``'asc'`` or ``'desc'`` : todo: Grouping structure need to be documented
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def get_season_stats(self, season_key): season_stats_url = self.api_path + "season/" + season_key + "/stats/" response = self.get_response(season_stats_url) return response
Calling Season Stats API. Arg: season_key: key of the season Return: json data
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def import_generators(self, session, debug=False): def import_res_generators(): generators_sqla = session.query( self.orm[].columns.id, self.orm[].columns.subst_id, self.orm[].columns.la_id, self.orm...
Imports renewable (res) and conventional (conv) generators Args: session : sqlalchemy.orm.session.Session Database session debug: If True, information is printed during process Notes: Connection of generators is done later on in NetworkDing0's method ...
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def plot_mixture(mixture, i=0, j=1, center_style=dict(s=0.15), cmap=, cutoff=0.0, ellipse_style=dict(alpha=0.3), solid_edge=True, visualize_weights=False): import numpy as np from matplotlib import pyplot as plt from matplotlib.patches import Ellipse from...
Plot the (Gaussian) components of the ``mixture`` density as one-sigma ellipses in the ``(i,j)`` plane. :param center_style: If a non-empty ``dict``, plot mean value with the style passed to ``scatter``. :param cmap: The color map to which components are mapped in order to choose ...
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def addToLayout(self, analysis, position=None): layout = self.getLayout() container_uid = self.get_container_for(analysis) if IRequestAnalysis.providedBy(analysis) and \ not IDuplicateAnalysis.providedBy(analysis): container_uids = map(lambda slot: s...
Adds the analysis passed in to the worksheet's layout
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def reset(name, soft=False, call=None): if call != : raise SaltCloudSystemExit( ) vm_properties = [ "name", "summary.runtime.powerState" ] vm_list = salt.utils.vmware.get_mors_with_properties(_get_si(), vim.VirtualMachine, vm_properties) ...
To reset a VM using its name .. note:: If ``soft=True`` then issues a command to the guest operating system asking it to perform a reboot. Otherwise hypervisor will terminate VM and start it again. Default is soft=False For ``soft=True`` vmtools should be installed on guest system...
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def stopped(name, connection=None, username=None, password=None): return _virt_call(name, , , "Machine has been shut down", connection=connection, username=username, password=password)
Stops a VM by shutting it down nicely. .. versionadded:: 2016.3.0 :param connection: libvirt connection URI, overriding defaults .. versionadded:: 2019.2.0 :param username: username to connect with, overriding defaults .. versionadded:: 2019.2.0 :param password: password to connect w...
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def new_figure_manager(num, *args, **kwargs): DEBUG_MSG("new_figure_manager()", 3, None) _create_wx_app() FigureClass = kwargs.pop(, Figure) fig = FigureClass(*args, **kwargs) return new_figure_manager_given_figure(num, fig)
Create a new figure manager instance
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def on_service_arrival(self, svc_ref): with self._lock: new_ranking = svc_ref.get_property(SERVICE_RANKING) if self._current_ranking is not None: if new_ranking > self._current_ranking: self._pending_ref = svc_ref ...
Called when a service has been registered in the framework :param svc_ref: A service reference
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def sg_expand_dims(tensor, opt): r opt += tf.sg_opt(axis=-1) return tf.expand_dims(tensor, opt.axis, name=opt.name)
r"""Inserts a new axis. See tf.expand_dims() in tensorflow. Args: tensor: A `Tensor` (automatically given by chain). opt: axis : Dimension to expand. Default is -1. name: If provided, it replaces current tensor's name. Returns: A `Tensor`.
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async def purgeQueues(self, *args, **kwargs): return await self._makeApiCall(self.funcinfo["purgeQueues"], *args, **kwargs)
Purge the SQS queues This method is only for debugging the ec2-manager This method is ``experimental``
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def updateVersions(region="us-east-1", table="credential-store"): dynamodb = boto3.resource(, region_name=region) secrets = dynamodb.Table(table) response = secrets.scan(ProjectionExpression=" ExpressionAttributeNames={" items = response["Items"] for old_item in i...
do a full-table scan of the credential-store, and update the version format of every credential if it is an integer
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def extract_params(raw): if isinstance(raw, (bytes, unicode_type)): try: params = urldecode(raw) except ValueError: params = None elif hasattr(raw, ): try: dict(raw) except ValueError: params = None except TypeError: ...
Extract parameters and return them as a list of 2-tuples. Will successfully extract parameters from urlencoded query strings, dicts, or lists of 2-tuples. Empty strings/dicts/lists will return an empty list of parameters. Any other input will result in a return value of None.
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def get_ticket_results(mgr, ticket_id, update_count=1): ticket = mgr.get_ticket(ticket_id) table = formatting.KeyValueTable([, ]) table.align[] = table.align[] = table.add_row([, ticket[]]) table.add_row([, ticket[]]) table.add_row([, PRIORITY_MAP[ticket.get(, 0)]]) if ticket.ge...
Get output about a ticket. :param integer id: the ticket ID :param integer update_count: number of entries to retrieve from ticket :returns: a KeyValue table containing the details of the ticket
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def parse_methodcall(self, tup_tree): self.check_node(tup_tree, , (,), (), (, , )) path = self.list_of_matching(tup_tree, (, )) if not path: raise CIMXMLParseError( _format("Element {0!A} missing ...
:: <!ELEMENT METHODCALL ((LOCALCLASSPATH | LOCALINSTANCEPATH), PARAMVALUE*)> <!ATTLIST METHODCALL %CIMName;>
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def change_password(self, id_user, user_current_password, password): if not is_valid_int_param(id_user): raise InvalidParameterError( u) if password is None or password == "": raise InvalidParameterError( u) user_map = dict() ...
Change password of User from by the identifier. :param id_user: Identifier of the User. Integer value and greater than zero. :param user_current_password: Senha atual do usuário. :param password: Nova Senha do usuário. :return: None :raise UsuarioNaoExisteError: User not regis...
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def text(self): text = for run in self.runs: text += run.text return text
String formed by concatenating the text of each run in the paragraph. Tabs and line breaks in the XML are mapped to ``\\t`` and ``\\n`` characters respectively. Assigning text to this property causes all existing paragraph content to be replaced with a single run containing the assigned...
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def draw_tiling(coord_generator, filename): im = Image.new(, size=(CANVAS_WIDTH, CANVAS_HEIGHT)) for shape in coord_generator(CANVAS_WIDTH, CANVAS_HEIGHT): ImageDraw.Draw(im).polygon(shape, outline=) im.save(filename)
Given a coordinate generator and a filename, render those coordinates in a new image and save them to the file.
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def pumper(html_generator): source = html_generator() parser = etree.HTMLPullParser( events=(, ), remove_comments=True ) while True: for element in parser.read_events(): yield element try: parser.feed(next(source)) except StopIteration...
Pulls HTML from source generator, feeds it to the parser and yields DOM elements.
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def get_aggregations(metrics_dict, saved_metrics, adhoc_metrics=[]): aggregations = OrderedDict() invalid_metric_names = [] for metric_name in saved_metrics: if metric_name in metrics_dict: metric = metrics_dict[metric_name] if metric.metric_t...
Returns a dictionary of aggregation metric names to aggregation json objects :param metrics_dict: dictionary of all the metrics :param saved_metrics: list of saved metric names :param adhoc_metrics: list of adhoc metric names :raise SupersetException: if one or more metr...
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def replace(self, **kw): if "tzinfo" in kw: if kw["tzinfo"] is None: raise TypeError("Can not remove the timezone use asdatetime()") else: tzinfo = kw["tzinfo"] del kw["tzinfo"] else: tzinfo = None is_dst = None if "is_dst" in kw: is_dst = kw["is_dst...
Return datetime with new specified fields given as arguments. For example, dt.replace(days=4) would return a new datetime_tz object with exactly the same as dt but with the days attribute equal to 4. Any attribute can be replaced, but tzinfo can not be set to None. Args: Any datetime_tz attribu...
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def get_agent(self, agent_id): url = % agent_id return Agent(**self._api._get(url))
Fetches the agent for the given agent ID
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def handle(data_type, data, data_id=None, caller=None): if not data_id: data_id = data_type if data_id not in _handlers: _handlers[data_id] = dict( [(h.handle, h) for h in handlers.instantiate_for_data_type(data_type, data_id=data_id)]) for handler in list(_handlers[...
execute all data handlers on the specified data according to data type Args: data_type (str): data type handle data (dict or list): data Kwargs: data_id (str): can be used to differentiate between different data sets of the same data type. If not specified will default to ...
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def listen(self, timeout=10): self._socket.settimeout(float(timeout)) while not self.stopped.isSet(): try: data, client_address = self._socket.recvfrom(4096) except socket.timeout: continue try: ...
Listen for incoming messages. Timeout is used to check if the server must be switched off. :param timeout: Socket Timeout in seconds
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def feedforward(self): m = self._numInputs n = self._numColumns W = np.zeros((n, m)) for i in range(self._numColumns): self.getPermanence(i, W[i, :]) return W
Soon to be depriciated. Needed to make the SP implementation compatible with some older code.
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def _search_for_user_dn(self): search = self.settings.USER_SEARCH if search is None: raise ImproperlyConfigured( "AUTH_LDAP_USER_SEARCH must be an LDAPSearch instance." ) results = search.execute(self.connection, {"user": self._username}) ...
Searches the directory for a user matching AUTH_LDAP_USER_SEARCH. Populates self._user_dn and self._user_attrs.
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def allow(self, comment, content_object, request): if self.enable_field: if not getattr(content_object, self.enable_field): return False if self.auto_close_field and self.close_after is not None: close_after_date = getattr(content_object, self.auto_close_...
Determine whether a given comment is allowed to be posted on a given object. Return ``True`` if the comment should be allowed, ``False otherwise.
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def _locate_index(self, index): assert index >= 0 and index < self.num_images, "index out of range" pos = self.image_set_index[index] for k, v in enumerate(self.imdbs): if pos >= v.num_images: pos -= v.num_images else: return (k, p...
given index, find out sub-db and sub-index Parameters ---------- index : int index of a specific image Returns ---------- a tuple (sub-db, sub-index)
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def nlerp_quat(from_quat, to_quat, percent): result = lerp_quat(from_quat, to_quat, percent) result.normalize() return result
Return normalized linear interpolation of two quaternions. Less computationally expensive than slerp (which not implemented in this lib yet), but does not maintain a constant velocity like slerp.
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def factor_kkt(S_LU, R, d): nBatch, nineq = d.size() neq = S_LU[1].size(1) - nineq oldPivotsPacked = S_LU[1][:, -nineq:] - neq oldPivots, _, _ = torch.btriunpack( T_LU[0], oldPivotsPacked, unpack_data=False) newPivotsPacked = T_LU[1] newPivots, _, _...
Factor the U22 block that we can only do after we know D.
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def send_request(self, request, callback=None, timeout=None, no_response=False): if callback is not None: thread = threading.Thread(target=self._thread_body, args=(request, callback)) thread.start() else: self.protocol.send_message(request) if n...
Send a request to the remote server. :param request: the request to send :param callback: the callback function to invoke upon response :param timeout: the timeout of the request :return: the response
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def to_serializable(self, use_bytes=False, bias_dtype=np.float32, bytes_type=bytes): from dimod.package_info import __version__ schema_version = "2.0.0" try: variables = sorted(self.variables) except TypeError: variab...
Convert the binary quadratic model to a serializable object. Args: use_bytes (bool, optional, default=False): If True, a compact representation representing the biases as bytes is used. bias_dtype (numpy.dtype, optional, default=numpy.float32): If `use_b...
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def _formatters_default(self): formatter_classes = [ PlainTextFormatter, HTMLFormatter, SVGFormatter, PNGFormatter, JPEGFormatter, LatexFormatter, JSONFormatter, JavascriptFormatter ] d = {} ...
Activate the default formatters.
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def localize_field(self, value): if self.default is not None: if value is None or value == : value = self.default return value or
Method that must transform the value from object to localized string
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def list_events(self, source=None, severity=None, text_filter=None, start=None, stop=None, page_size=500, descending=False): params = { : if descending else , } if source is not None: params[] = source if page_size is not None: ...
Reads events between the specified start and stop time. Events are sorted by generation time, source, then sequence number. :param str source: The source of the returned events. :param str severity: The minimum severity level of the returned events. One of ``INFO``...
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def add_textop_iter(func): op = type(func.__name__,(WrapOpIter,), {:staticmethod(func)}) setattr(textops.ops,func.__name__,op) return op
Decorator to declare custom *ITER* function as a new textops op An *ITER* function is a function that will receive the input text as a *LIST* of lines. One have to iterate over this list and generate a result (it can be a list, a generator, a dict, a string, an int ...) Examples: >>> @add_tex...
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def get_member_brief(self, member_id=0): title = % self.__class__.__name__ input_fields = { : member_id } for key, value in input_fields.items(): if value: object_title = % (title, key, str(value)) ...
a method to retrieve member profile info :param member_id: [optional] integer with member id from member profile :return: dictionary with member profile inside [json] key member_profile = self.objects.profile_brief.schema
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def write(self, message, delay_seconds=None): new_msg = self.connection.send_message(self, message.get_body_encoded(), delay_seconds) message.id = new_msg.id message.md5 = new_msg.md5 return message
Add a single message to the queue. :type message: Message :param message: The message to be written to the queue :rtype: :class:`boto.sqs.message.Message` :return: The :class:`boto.sqs.message.Message` object that was written.
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def confd_state_internal_cdb_client_lock(self, **kwargs): config = ET.Element("config") confd_state = ET.SubElement(config, "confd-state", xmlns="http://tail-f.com/yang/confd-monitoring") internal = ET.SubElement(confd_state, "internal") cdb = ET.SubElement(internal, "cdb") ...
Auto Generated Code
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def _set_gaussian_expected_stats(self, smoothed_mus, smoothed_sigmas, E_xtp1_xtT): assert not np.isnan(E_xtp1_xtT).any() assert not np.isnan(smoothed_mus).any() assert not np.isnan(smoothed_sigmas).any() assert smoothed_mus.shape == (self.T, self.D_latent) assert smoothe...
Both meanfield and VBEM require expected statistics of the continuous latent states, x. This is a helper function to take E[x_t], E[x_t x_t^T] and E[x_{t+1}, x_t^T] and compute the expected sufficient statistics for the initial distribution, dynamics distribution, and Gaussian observation distr...
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def vclose(L, V): lam, X = 0, [] for k in range(3): lam = lam + V[k] * L[k] beta = np.sqrt(1. - lam**2) for k in range(3): X.append((old_div((V[k] - lam * L[k]), beta))) return X
gets the closest vector
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def removeItem( self ): item = self.uiMenuTREE.currentItem() if ( not item ): return opts = QMessageBox.Yes | QMessageBox.No answer = QMessageBox.question( self, , \ ...
Removes the item from the menu.
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def setup_logging(): logging.basicConfig(format=("[%(levelname)s\033[0m] " "\033[1;31m%(module)s\033[0m: " "%(message)s"), level=logging.INFO, stream=sys.stdout) logging.addLevelName(logging.ERRO...
Logging config.
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def _validate_format(req): for key in SLOJSONRPC._min_keys: if not key in req: logging.debug( % key) raise SLOJSONRPCError(-32600) for key in req.keys(): if not key in SLOJSONRPC._allowed_keys: logging.de...
Validate jsonrpc compliance of a jsonrpc-dict. req - the request as a jsonrpc-dict raises SLOJSONRPCError on validation error
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def serial_assimilate(self, rootpath): valid_paths = [] for (parent, subdirs, files) in os.walk(rootpath): valid_paths.extend(self._drone.get_valid_paths((parent, subdirs, files))) data = [] count = 0 ...
Assimilate the entire subdirectory structure in rootpath serially.
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def encipher_shift(plaintext, plain_vocab, shift): ciphertext = [] cipher = ShiftEncryptionLayer(plain_vocab, shift) for _, sentence in enumerate(plaintext): cipher_sentence = [] for _, character in enumerate(sentence): encrypted_char = cipher.encrypt_character(character) cipher_sentence.a...
Encrypt plain text with a single shift layer. Args: plaintext (list of list of Strings): a list of plain text to encrypt. plain_vocab (list of Integer): unique vocabularies being used. shift (Integer): number of shift, shift to the right if shift is positive. Returns: ciphertext (list of Strings): ...
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def set_shuffle(self, shuffle): if not self.my_osid_object_form._is_valid_boolean( shuffle): raise InvalidArgument() self.my_osid_object_form._my_map[] = shuffle
stub
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def _evaluate_model_single_file(target_folder, test_file): logging.info("Create running model...") model_src = get_latest_model(target_folder, "model") model_file_pointer = tempfile.NamedTemporaryFile(delete=False) model_use = model_file_pointer.name model_file_pointer.close() logging.info(...
Evaluate a model for a single recording. Parameters ---------- target_folder : string Folder where the model is test_file : string The test file (.hdf5)
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def _parse(self, msg_dict): error_present = False for message in self.compiled_messages: match_on = message[] if match_on not in msg_dict: continue if message[] != msg_dict[match_on]...
Parse a syslog message and check what OpenConfig object should be generated.
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def parse_color(self, color): if color == : return None return ( int(color[1:3], 16), int(color[3:5], 16), int(color[5:7], 16))
color : string, eg: '#rrggbb' or 'none' (where rr, gg, bb are hex digits from 00 to ff) returns a triple of unsigned bytes, eg: (0, 128, 255)
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def calculateLocalElasticity(self, bp, frames=None, helical=False, unit=): r acceptedUnit = [, , ] if unit not in acceptedUnit: raise ValueError(" {0} not accepted. Use any of the following: {1} ".format(unit, acceptedUnit)) frames = self._validateFrames(frames) na...
r"""Calculate local elastic matrix or stiffness matrix for local DNA segment .. note:: Here local DNA segment referred to less than 5 base-pair long. In case of :ref:`base-step-image`: Shift (:math:`Dx`), Slide (:math:`Dy`), Rise (:math:`Dz`), Tilt (:math:`\tau`), Roll (:math:`\rho`) and Twist...
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def _retrieveRemoteCertificate(self, From, port=port): CS = self.service.certificateStorage host = str(From.domainAddress()) p = AMP() p.wrapper = self.wrapper f = protocol.ClientCreator(reactor, lambda: p) connD = f.connectTCP(host, port) def connected(...
The entire conversation, starting with TCP handshake and ending at disconnect, to retrieve a foreign domain's certificate for the first time.
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def remove_labels(self, labels, relabel=False): self.check_labels(labels) self.reassign_label(labels, new_label=0) if relabel: self.relabel_consecutive()
Remove one or more labels. Removed labels are assigned a value of zero (i.e., background). Parameters ---------- labels : int, array-like (1D, int) The label number(s) to remove. relabel : bool, optional If `True`, then the segmentation image will be re...
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def will_set(self, topic, payload=None, qos=0, retain=False): if topic is None or len(topic) == 0: raise ValueError() if qos<0 or qos>2: raise ValueError() if isinstance(payload, str): self._will_payload = payload.encode() elif isinstance(payl...
Set a Will to be sent by the broker in case the client disconnects unexpectedly. This must be called before connect() to have any effect. topic: The topic that the will message should be published on. payload: The message to send as a will. If not given, or set to None a zero length me...
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def netconf_state_statistics_in_bad_rpcs(self, **kwargs): config = ET.Element("config") netconf_state = ET.SubElement(config, "netconf-state", xmlns="urn:ietf:params:xml:ns:yang:ietf-netconf-monitoring") statistics = ET.SubElement(netconf_state, "statistics") in_bad_rpcs = ET.Su...
Auto Generated Code
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def scale(self, x, y=None, z=None): "Uniform scale, if only sx argument is specified" if y is None: y = x if z is None: z = x m = self for col in range(4): m[0,col] *= x m[1,col] *= y m[2,col] *= z...
Uniform scale, if only sx argument is specified
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def venv_bin(name=None): if not hasattr(sys, "real_prefix"): easy.error("ERROR: is not a virtualenv" % (sys.executable,)) sys.exit(1) for bindir in ("bin", "Scripts"): bindir = os.path.join(sys.prefix, bindir) if os.path.exists(bindir): if name: ...
Get the directory for virtualenv stubs, or a full executable path if C{name} is provided.
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def currentPage(self): self._updateResults(self._sortAttributeValue(0), equalToStart=True, refresh=True) return self._currentResults
Return a sequence of mappings of attribute IDs to column values, to display to the user. nextPage/prevPage will strive never to skip items whose column values have not been returned by this method. This is best explained by a demonstration. Let's say you have a table viewing a...
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def repartition(self, npartitions): if self.mode == : return self._constructor(self.values.repartition(npartitions)).__finalize__(self) else: notsupported(self.mode)
Repartition data (Spark only). Parameters ---------- npartitions : int Number of partitions after repartitions.
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def minimize_metric(field, metric_func, nm, res, ival, roi=None, coarse_acc=1, fine_acc=.005, return_gradient=True, padding=True): if roi is not None: assert len(roi) == len(field.shape) * \ 2, "ROI must match field dimension" initshape = field.s...
Find the focus by minimizing the `metric` of an image Parameters ---------- field : 2d array electric field metric_func : callable some metric to be minimized ival : tuple of floats (minimum, maximum) of interval to search in pixels nm : float RI of medium re...
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def register(scheme): scheme = nstr(scheme) urlparse.uses_fragment.append(scheme) urlparse.uses_netloc.append(scheme) urlparse.uses_params.append(scheme) urlparse.uses_query.append(scheme) urlparse.uses_relative.append(scheme)
Registers a new scheme to the urlparser. :param schema | <str>
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def user_fields(self, user): return self._query_zendesk(self.endpoint.user_fields, , id=user)
Retrieve the user fields for this user. :param user: User object or id
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def nlargest(self, n=5, keep=): return algorithms.SelectNSeries(self, n=n, keep=keep).nlargest()
Return the largest `n` elements. Parameters ---------- n : int, default 5 Return this many descending sorted values. keep : {'first', 'last', 'all'}, default 'first' When there are duplicate values that cannot all fit in a Series of `n` elements: ...
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def down(self, path, link, repo): filename = link.split("/")[-1] if not os.path.isfile(path + filename): Download(path, link.split(), repo).start()
Download files
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def start_polling(self, interval): interval = float(interval) self.polling = True self.term_checker.reset() logger.info("Starting polling for changes to the track list") while self.polling: loop_start = time() self.update_stream() ...
Start polling for term updates and streaming.
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def listen(self, timeout=10): self._socket.settimeout(float(timeout)) while not self.stopped.isSet(): try: data, client_address = self._socket.recvfrom(4096) if len(client_address) > 2: client_address = (client_address[0], client_a...
Listen for incoming messages. Timeout is used to check if the server must be switched off. :param timeout: Socket Timeout in seconds
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def isel_points(self, dim=, **indexers): warnings.warn( , DeprecationWarning, stacklevel=2) indexer_dims = set(indexers) def take(variable, slices): if hasattr(variable.data, ): ...
Returns a new dataset with each array indexed pointwise along the specified dimension(s). This method selects pointwise values from each array and is akin to the NumPy indexing behavior of `arr[[0, 1], [0, 1]]`, except this method does not require knowing the order of each array's dimen...
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def __coord_mel_hz(n, fmin=0, fmax=11025.0, **_kwargs): if fmin is None: fmin = 0 if fmax is None: fmax = 11025.0 basis = core.mel_frequencies(n, fmin=fmin, fmax=fmax) basis[1:] -= 0.5 * np.diff(basis) basis = np.append(np.maximum(0, basis), [fmax]) return basis
Get the frequencies for Mel bins