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def render_template(self, template_name, out_path=None): return render_template(template_name, self.to_dict(), out_path=out_path)
Render a template based on this TileBus Block. The template has access to all of the attributes of this block as a dictionary (the result of calling self.to_dict()). You can optionally render to a file by passing out_path. Args: template_name (str): The name of the templat...
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def files(self): if self._files is None: self._files = SeriesZipTifPhasics._index_files(self.path) return self._files
List of Phasics tif file names in the input zip file
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def discover_single_case(self, module, case_attributes): case = module loader = self._loader for index, component in enumerate(case_attributes): case = getattr(case, component, None) if case is None: return loader.create_suite() ...
Find and load a single TestCase or TestCase method from a module. Parameters ---------- module : module The imported Python module containing the TestCase to be loaded. case_attributes : list A list (length 1 or 2) of str. The first component must be...
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def _get_mean_deep_soil(self, mag, rake, rrup, is_reverse, imt): if mag <= self.NEAR_FIELD_SATURATION_MAG: c4 = self.COEFFS_SOIL_IMT_INDEPENDENT[] c5 = self.COEFFS_SOIL_IMT_INDEPENDENT[] else: c4 = self.COEFFS_SOIL_IMT_INDEPENDENT[] c5 = self.COEF...
Calculate and return the mean intensity for deep soil sites. Implements an equation from table 4.
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def to_bytes(self): self.sanitize() bitstream = BitArray( % self.message_type) bitstream += BitArray( % (self.probe, self.enlra_enabled, self.security)) ...
Create bytes from properties
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def open(self): self.device = usb.core.find(idVendor=self.idVendor, idProduct=self.idProduct) if self.device is None: raise NoDeviceError() try: if self.device.is_kernel_driver_active(self.interface): self.device.detach_kernel_driver(self...
Search device on USB tree and set is as escpos device
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def allowance (self, filename): for line in self.rulelines: log.debug(LOG_CHECK, "%s %s %s", filename, str(line), line.allowance) if line.applies_to(filename): log.debug(LOG_CHECK, " ... rule line %s", line) return line.allowance log.debug...
Preconditions: - our agent applies to this entry - filename is URL decoded Check if given filename is allowed to acces this entry. @return: True if allowed, else False @rtype: bool
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def get_plugins(modules, classobj): for module in modules: for plugin in get_module_plugins(module, classobj): yield plugin
Find all class objects in all modules. @param modules: the modules to search @ptype modules: iterator of modules @return: found classes @rytpe: iterator of class objects
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def on_return(self, channel, method, properties, body): pending = self.pending_confirmations() if not pending: self.logger.warning( , utils.message_info(method.exchange, ...
Invoked by RabbitMQ when it returns a message that was published. :param channel: The channel the message was delivered on :type channel: pika.channel.Channel :param method: The AMQP method frame :type method: pika.frame.Frame :param properties: The AMQP message properties ...
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def getNextSample(self, V): W, WProb = self.drawRankingPlakettLuce(V) VProb = self.calcProbOfVFromW(V, W) acceptanceRatio = self.calcAcceptanceRatio(V, W) prob = min(1.0, acceptanceRatio * (VProb/WProb)) if random.random() <= prob: V = W return V
Given a ranking over the candidates, generate a new ranking by assigning each candidate at position i a Plakett-Luce weight of phi^i and draw a new ranking. :ivar list<int> V: Contains integer representations of each candidate in order of their ranking in a vote, from first to last.
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def factors(self): if self._factors is None: self._factors = FactorList( self._version, service_sid=self._solution[], identity=self._solution[], ) return self._factors
Access the factors :returns: twilio.rest.authy.v1.service.entity.factor.FactorList :rtype: twilio.rest.authy.v1.service.entity.factor.FactorList
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def _add_deprecated_function_notice_to_docstring(doc, date, instructions): if instructions: deprecation_message = % (( if date is None else ( % date)), instructions) else: deprecation_message = % (( if date is None else ( % date))) main_text = [deprecation_message] return _add...
Adds a deprecation notice to a docstring for deprecated functions.
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def openSafeReplace(filepath, mode=): tempfileName = None if not _isFileAccessible(filepath): raise IOError( % (filepath, )) with tempfile.NamedTemporaryFile(delete=False, mode=mode) as tmpf: tempfileName = tmpf.name yield tmpf if not _isFileAccessible(fi...
Context manager to open a temporary file and replace the original file on closing.
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def _getDefaultCombinedL4Params(self, numInputBits, inputSize, numExternalInputBits, externalInputSize, L2CellCount): sampleSize = numExternalInputBits + numInputBits activationThreshold = int(max(numExternalInputBits, numInputBits) * .6) ...
Returns a good default set of parameters to use in a combined L4 region.
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def _handle_authentication_error(self): response = make_response() response.headers[] = self.auth.get_authenticate_header() response.status_code = 401 return response
Return an authentication error.
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def page_view(url): def decorator(func): @wraps(func) async def wrapper(self: BaseState, *args, **kwargs): user_id = self.request.user.id try: user_lang = await self.request.user.get_locale() except NotImplementedError: user_...
Page view decorator. Put that around a state handler function in order to log a page view each time the handler gets called. :param url: simili-URL that you want to give to the state
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def male_breeding_location_type(self): if int(self.Male.all()[0].Cage) == int(self.Cage): type = "resident breeder" else: type = "non-resident breeder" return type
This attribute defines whether a breeding male's current location is the same as the breeding cage. This attribute is used to color breeding table entries such that male mice which are currently in a different cage can quickly be identified.
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def sync_agg_metric(self, unique_identifier, metric, start_date, end_date): self.sync_week_metric(unique_identifier, metric, start_date, end_date) self.sync_month_metric(unique_identifier, metric, start_date, end_date)
Uses the count for each day in the date range to recalculate the counters for the associated weeks and months for the ``metric`` for ``unique_identifier``. Useful for updating the counters for week and month after using set_metric_by_day. The redis backend supports lists for both ``unique_identifier`` ...
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def _data_update(subjects, queue, run_flag): while run_flag.running: while not queue.empty(): data = queue.get() for subject in [s for s in subjects if not s.is_disposed]: subject.on_next(data) time.sleep(0.1)
Get data from backgound process and notify all subscribed observers with the new data
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def iter_work_specs(self, limit=None, start=None): count = 0 ws_list, start = self.list_work_specs(limit, start) while True: for name_spec in ws_list: yield name_spec[1] count += 1 if (limit is not None) and (count >= limit): ...
yield work spec dicts
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def clear_context(pid_file): return raise RuntimeError("Should not happen") fname = get_context_file_name(pid_file) shutil.move(fname, fname.replace("context.json", "context.old.json")) data = {} data["terminated"] = str(datetime.datetime.now(datetime.timezone.utc)) set_context(pid_fil...
Called at exit. Delete the context file to signal there is no active notebook. We don't delete the whole file, but leave it around for debugging purposes. Maybe later we want to pass some information back to the web site.
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def replace_cluster_custom_object(self, group, version, plural, name, body, **kwargs): kwargs[] = True if kwargs.get(): return self.replace_cluster_custom_object_with_http_info(group, version, plural, name, body, **kwargs) else: (data) = self.replace_cluster_...
replace_cluster_custom_object # noqa: E501 replace the specified cluster scoped custom object # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_cluster_custom_object(group, ve...
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def get_case(word, correction): if word.istitle(): return correction.title() if word.isupper(): return correction.upper() if correction == word and not word.islower(): return word if len(word) > 2 and word[:2].isupper(): return correction.title() if not known_as_...
Best guess of intended case. manchester => manchester chilton => Chilton AAvTech => AAvTech THe => The imho => IMHO
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def get(cls, name=__name__): if not isinstance(name, str): raise TypeError() if name not in cls.__instances: cls.__instances[name] = cls() cls.__instances[name]._name = name return cls.__instances[name]
Return a Mapper instance with the given name. If the name already exist return its instance. Does not work if a Mapper was created via its constructor. Using `Mapper.get()`_ is the prefered way. Args: name (str, optional): Name for the newly created instance. ...
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def _set_log_level(self): log_level = "INFO" if hasattr(self._config, "level") and self._config.level.upper() in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]: log_level = self._config.level.upper() self._log_level = log_level
Inspects config and sets the log level as instance attr. If not present in config, default is "INFO".
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async def _dump_container_val(self, writer, elem, container_type, params=None): elem_type = container_elem_type(container_type, params) await self.dump_field(writer, elem, elem_type, params[1:] if params else None)
Single elem dump :param writer: :param elem: :param container_type: :param params: :return:
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def max_date(self, symbol): res = self._collection.find_one({SYMBOL: symbol}, projection={ID: 0, END: 1}, sort=[(START, pymongo.DESCENDING)]) if res is None: raise NoDataFoundException("No Data found for {}".format(symbol)) return utc_...
Return the maximum datetime stored for a particular symbol Parameters ---------- symbol : `str` symbol name for the item
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def select_action(self, state): value = 0 if self.steps < self.min_steps: action = np.random.randint(self.actions) else: self.eps = max(self.eps_end, self.eps * self.eps_decay) if random.random() < self.eps: action = np.random.randint(self.actions) else: self.loc...
Select the best action for the given state using e-greedy exploration to minimize overfitting :return: tuple(action, value)
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def render_er(input, output, mode=, include_tables=None, include_columns=None, exclude_tables=None, exclude_columns=None, schema=None): try: tables, relationships = all_to_intermediary(input, schema=schema) tables, relationships = filter_resources(tables, relationships, ...
Transform the metadata into a representation. :param input: Possible inputs are instances of: MetaData: SQLAlchemy Metadata DeclarativeMeta: SQLAlchemy declarative Base :param output: name of the file to output the :param mode: str in list: 'er': writes to a file the markup to genera...
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def pool_function(p, nick, rutaDescarga, avoidProcessing=True, avoidDownload=True, verbosity=1): try: res = p.getInfo( query=nick, mode="usufy", process=True ) return {"platform" : str(p), "status": "Ok", "data": res} except Exception as...
Wrapper for being able to launch all the threads of getPageWrapper. We receive the parameters for getPageWrapper as a tuple. Args: ----- pName: Platform where the information is stored. It is a string. nick: Nick to be searched. rutaDescarga: Local file where saving the obtained in...
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def create(self, friendly_name=values.unset, domain_name=values.unset, disaster_recovery_url=values.unset, disaster_recovery_method=values.unset, recording=values.unset, secure=values.unset, cnam_lookup_enabled=values.unset): data = values.of({ :...
Create a new TrunkInstance :param unicode friendly_name: A string to describe the resource :param unicode domain_name: The unique address you reserve on Twilio to which you route your SIP traffic :param unicode disaster_recovery_url: The HTTP URL that we should call if an error occurs while sen...
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def pci_contents(self, use_dict=None, as_class=dict): if _debug: PCI._debug("pci_contents use_dict=%r as_class=%r", use_dict, as_class) if use_dict is None: use_dict = as_class() for k, v in ((, self.pduUserData), (, self.pduSource), (, self.pduDestinatio...
Return the contents of an object as a dict.
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def coredump_configured(name, enabled, dump_ip, host_vnic=, dump_port=6500): s core dump configuration. name Name of the state. enabled Sets whether or not ESXi core dump collection should be enabled. This is a boolean value set to ``True`` or ``False`` to enable or disable...
Ensures a host's core dump configuration. name Name of the state. enabled Sets whether or not ESXi core dump collection should be enabled. This is a boolean value set to ``True`` or ``False`` to enable or disable core dumps. Note that ESXi requires that the core dump m...
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def solve2x2(lhs, rhs): if np.abs(lhs[1, 0]) > np.abs(lhs[0, 0]): ratio = lhs[0, 0] / lhs[1, 0] denominator = lhs[0, 1] - ratio * lhs[1, 1] if denominator == 0.0: return Tru...
Solve a square 2 x 2 system via LU factorization. This is meant to be a stand-in for LAPACK's ``dgesv``, which just wraps two calls to ``dgetrf`` and ``dgetrs``. We wrap for two reasons: * We seek to avoid exceptions as part of the control flow (which is what :func`numpy.linalg.solve` does). * W...
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def configure_savedsearch(self, ns, definition): paginated_list_schema = self.page_cls.make_paginated_list_schema_class( ns, definition.response_schema, )() @self.add_route(ns.collection_path, Operation.SavedSearch, ns) @request(definition.request_schema...
Register a saved search endpoint. The definition's func should be a search function, which must: - accept kwargs for the request data - return a tuple of (items, count) where count is the total number of items available (in the case of pagination) The definition's request_sch...
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def _setVirtualEnv(): try: activate = options.virtualenv.activate_cmd except AttributeError: activate = None if activate is None: virtualenv = path(os.environ.get(, )) if not virtualenv: virtualenv = options.paved.cwd else: virtualenv = p...
Attempt to set the virtualenv activate command, if it hasn't been specified.
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def split_iterable_as_unordered_iterable(self, values): from collections import defaultdict cache = defaultdict(list) count = self.count unique = self.unique key = (lambda i: unique[i]) if isinstance(unique, np.ndarray) else (lambda i: tuple(c[i] for c in unique)) ...
Group iterable into iterables, without regard for the ordering of self.index.unique key-group tuples are yielded as soon as they are complete Parameters ---------- values : iterable of length equal to keys iterable of values to be grouped Yields ------ ...
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def toc_html(self): if self._toc is None: return None def indent(): return * (len(h_stack) - 1) lines = [] h_stack = [0] for level, id, name in self._toc: if level > h_stack[-1]: lines.append("%s<ul>" % indent()) ...
Return the HTML for the current TOC. This expects the `_toc` attribute to have been set on this instance.
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def sendcontrol(self, char): \ag n, byte = self.ptyproc.sendcontrol(char) self._log_control(byte) return n
Helper method that wraps send() with mnemonic access for sending control character to the child (such as Ctrl-C or Ctrl-D). For example, to send Ctrl-G (ASCII 7, bell, '\a'):: child.sendcontrol('g') See also, sendintr() and sendeof().
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def from_str(string, max_number=9, separator="."): tokens = string.split(separator) tokens = list(reversed(tokens)) most_important = tokens[-1] levels = [ Level(max_number, int(token)) for token in tokens[:-1] ] levels.append( Level(fl...
Parses string :param string: Version :param max_number: Max number reachable by sub :param separator: Version numbers are separated with this split :return: Parses string and returns object
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def _image_size(image_config, type_, target_size): return min( image_config[.format(type_)], key=lambda size: (abs(target_size - int(size[1:])) if size.startswith() or size.startswith() else 999), )
Find the closest available size for specified image type. Arguments: image_config (:py:class:`dict`): The image config data. type_ (:py:class:`str`): The type of image to create a URL for, (``'poster'`` or ``'profile'``). target_size (:py:class:`int`): The size of imag...
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def linop_scale(w, op): with tf.name_scope("linop_scale"): def scaled_identity(w): return tf.linalg.LinearOperatorScaledIdentity( num_rows=op.range_dimension_tensor(), multiplier=w, is_non_singular=op.is_non_singular, is_self_adjoint=op....
Creates weighted `LinOp` from existing `LinOp`.
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def cli(ctx, verbose, fake, install, uninstall, config): ctx.obj = SCMRepo() ctx.obj.fake = fake ctx.obj.verbose = fake or verbose if install: do_install(ctx, verbose, fake) ctx.exit() elif uninstall: do_uninstall(ctx, verbose, fake) ctx.exit() ...
legit command line interface
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def create_new(self, body): return self.client.post(self._url(), data=body)
Configure a new custom domain Args: body (str): The domain, tye and verification method in json See: https://auth0.com/docs/api/management/v2#!/Custom_Domains/post_custom_domains
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def create_code_cell(block): code_cell = nbbase.new_code_cell(source=block[]) attr = block[] if not attr.is_empty: code_cell.metadata \ = nbbase.NotebookNode({: attr.to_dict()}) execution_count = attr.kvs.get() if not execution_count:...
Create a notebook code cell from a block.
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def set_cmd_env_var(value): def func_decorator(function): @functools.wraps(function) def wrapper(*args, **kwargs): previous_cmd_env_var = os.getenv(temple.constants.TEMPLE_ENV_VAR) os.environ[temple.constants.TEMPLE_ENV_VAR] = value try: ret_v...
Decorator that sets the temple command env var to value
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def getRoles(self): self.log.info("Get all the roles in <ProjectArea %s>", self) roles_url = "/".join([self.rtc_obj.url, "process/project-areas/%s/roles" % self.id]) resp = self.get(roles_url, ...
Get all :class:`rtcclient.models.Role` objects in this project area If no :class:`Roles` are retrieved, `None` is returned. :return: a :class:`list` that contains all :class:`rtcclient.models.Role` objects :rtype: list
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def namedb_state_transition( cur, opcode, op_data, block_id, vtxindex, txid, history_id, cur_record, record_table, constraints_ignored=[] ): try: assert opcode in OPCODE_NAME_STATE_TRANSITIONS + OPCODE_NAMESPACE_STATE_TRANSITIONS, "BUG: opcode is not a state-transition" assert not i...
Given an operation (opcode, op_data), a point in time (block_id, vtxindex, txid), and a current record (history_id, cur_record), apply the operation to the record and save the delta to the record's history. Also, insert or update the new record into the db. The cur_record must exist already. Return t...
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def delete_entity(self, partition_key, row_key, if_match=): request = _delete_entity(partition_key, row_key, if_match) self._add_to_batch(partition_key, row_key, request)
Adds a delete entity operation to the batch. See :func:`~azure.storage.table.tableservice.TableService.delete_entity` for more information on deletes. The operation will not be executed until the batch is committed. :param str partition_key: The PartitionKey of the entity...
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def render_to_json_response(self, context, **kwargs): return HttpResponse( self.convert_context_to_json(context), content_type=, **kwargs )
Returns a JSON response, transforming 'context' to make the payload.
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def value(self): if self.scores.numel() == 0: return 0 ap = torch.zeros(self.scores.size(1)) rg = torch.arange(1, self.scores.size(0)).float() for k in range(self.scores.size(1)): scores = self.scores[:, k] targets = se...
Returns the model's average precision for each class Return: ap (FloatTensor): 1xK tensor, with avg precision for each class k
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def multi_index_df_to_component_dfs(multi_index_df, rid="rid", cid="cid"): rids = list(multi_index_df.index.get_level_values(rid)) cids = list(multi_index_df.columns.get_level_values(cid)) mi_df_index = multi_index_df.index.droplevel(rid) rhds = list(mi_df_...
Convert a multi-index df into 3 component dfs.
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def crossvalidate(self, foldsfile): options = "-F " + self.format + " " + self.timbloptions + " -t cross_validate" print("Instantiating Timbl API : " + options,file=stderr) if sys.version < : self.api = timblapi.TimblAPI(b(options), b"") else: self.api =...
Train & Test using cross validation, testfile is a file that contains the filenames of all the folds!
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def to_env_vars(self): env = { : self.hosts, : self.network_interface_name, : self.hyperparameters, : self.user_entry_point, : self.additional_framework_parameters, : self.resource_config, : self.input_data_config, : self.output_data_dir, ...
Environment variable representation of the training environment Returns: dict: an instance of dictionary
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def upgrade(): if op.get_context().dialect.name == : Fk = op.execute( .format(Fk)) else: op.drop_constraint(, , type_=) op.create_primary_key( , , []) op.create_unique_constraint( ,...
Upgrade database.
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def data2schema( _data=None, _force=False, _besteffort=True, _registry=None, _factory=None, _buildkwargs=None, **kwargs ): if _data is None: return lambda _data: data2schema( _data, _force=False, _besteffort=True, _registry=None, _factory=None, _buildkwargs=None,...
Get the schema able to instanciate input data. The default value of schema will be data. Can be used such as a decorator: ..code-block:: python @data2schema def example(): pass # return a function schema @data2schema(_registry=myregistry) def example(): pass # return a...
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def save_thumbnail(image_path_template, src_file, file_conf, gallery_conf): thumbnail_number = file_conf.get(, 1) if not isinstance(thumbnail_number, int): raise TypeError( % (thumbnail_number,)) thumbnail_image_path, ext = _find_image_ext(image_path_template, ...
Generate and Save the thumbnail image Parameters ---------- image_path_template : str holds the template where to save and how to name the image src_file : str path to source python file gallery_conf : dict Sphinx-Gallery configuration dictionary
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def _parse_lti_data(self, courseid, taskid): post_input = web.webapi.rawinput("POST") self.logger.debug( + str(post_input)) try: course = self.course_factory.get_course(courseid) except exceptions.CourseNotFoundException as ex: raise web.notfound(str(ex)...
Verify and parse the data for the LTI basic launch
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def get_tables(self): url = self.build_url(self._endpoints.get()) response = self.session.get(url) if not response: return [] data = response.json() return [self.table_constructor(parent=self, **{self._cloud_data_key: table}) for table in ...
Returns a collection of this worksheet tables
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def _parse_hello_extensions(data): if data == b: return extentions_length = int_from_bytes(data[0:2]) extensions_start = 2 extensions_end = 2 + extentions_length pointer = extensions_start while pointer < extensions_end: extension_type = int_from_bytes(data[pointer:pointe...
Creates a generator returning tuples of information about each extension from a byte string of extension data contained in a ServerHello ores ClientHello message :param data: A byte string of a extension data from a TLS ServerHello or ClientHello message :return: A generator th...
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def read_config_file(self, file_name): with open(os.path.join(self.__path(), os.path.basename(file_name)), ) as file_config: return self._parser.parseString(file_config.read())
Reads a CWR grammar config file. :param file_name: name of the text file :return: the file's contents
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def spin(self): for x in self.spinchars: self.string = self.msg + "...\t" + x + "\r" self.out.write(self.string.encode()) self.out.flush() time.sleep(self.waittime)
Perform a single spin
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def check_chunks(n_samples, n_features, chunks=None): if chunks is None: chunks = (max(100, n_samples // cpu_count()), n_features) elif isinstance(chunks, Integral): chunks = (max(100, n_samples // chunks), n_features) elif isinstance(chunks, Sequence): chunks = tuple(chunks) ...
Validate and normalize the chunks argument for a dask.array Parameters ---------- n_samples, n_features : int Give the shape of the array chunks : int, sequence, optional, default None * For 'chunks=None', this picks a "good" default number of chunks based on the number of CPU...
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def add_spectra(self, spectra_dict, key_sort_func=None): if key_sort_func: keys = sorted(spectra_dict.keys(), key=key_sort_func) else: keys = spectra_dict.keys() for label in keys: self.add_spectra(label, spectra_dict[label])
Add a dictionary of doses, with an optional sorting function for the keys. Args: dos_dict: dict of {label: Dos} key_sort_func: function used to sort the dos_dict keys.
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def knot_removal_alpha_j(u, degree, knotvector, num, idx): return (u - knotvector[idx - num]) / (knotvector[idx + degree + 1] - knotvector[idx - num])
Computes :math:`\\alpha_{j}` coefficient for knot removal algorithm. Please refer to Eq. 5.29 of The NURBS Book by Piegl & Tiller, 2nd Edition, p.184 for details. :param u: knot :type u: float :param degree: degree :type degree: int :param knotvector: knot vector :type knotvector: tuple ...
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def get_end_trigger(options): if options.endTriggerType.lower() == "epoch": return MaxEpoch(options.endTriggerNum) else: return MaxIteration(options.endTriggerNum)
When to end the optimization based on input option.
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def load_dependencies(req, history=None): if history is None: history = set() dist = pkg_resources.get_distribution(req) spec = dict( requirement=str(req), resolved=str(dist), ) if req not in history: history.add(req) extras = parse_extras(req) ...
Load the dependency tree as a Python object tree, suitable for JSON serialization. >>> deps = load_dependencies('jaraco.packaging') >>> import json >>> doc = json.dumps(deps)
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def coalesce_events(self, coalesce=True): self._coalesce = coalesce if not coalesce: self._eventset.clear()
Coalescing events. Events are usually processed by batchs, their size depend on various factors. Thus, before processing them, events received from inotify are aggregated in a fifo queue. If this coalescing option is enabled events are filtered based on their unicity, only unique events ...
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def Update(self): return(clc.v2.Requests(clc.v2.API.Call(, % (self.parent.server.alias,self.parent.server.id,self.id), json.dumps({: [o.ToDict() for o in self.ports], : [o.ToDict() for o in self.source_restrictions] }), session=self.session), ...
Commit current PublicIP definition to cloud. Usually called by the class to commit changes to port and source restriction policies. >>> clc.v2.Server("WA1BTDIX01").PublicIPs().public_ips[0].Update().WaitUntilComplete() 0
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def read_file(self): with open(self.filename, mode=, encoding=) as text_file: self.raw_file = text_file.read() self.file_lines = [x.rstrip() for x in self.raw_file.splitlines()]
Grabs filename and enables it to be read. :return: raw_file = unaltered text; file_lines = text split by lines.
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def iter_by_year(self): for yr, details in self.txn_details.iter_by_year(): yield yr, Performance(details)
Split the return objects by year and iterate
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def writeToDelimitedString(obj, stream=None): if stream is None: stream = BytesIO() _EncodeVarint(stream.write, obj.ByteSize(), True) stream.write(obj.SerializeToString()) return stream
Stanford CoreNLP uses the Java "writeDelimitedTo" function, which writes the size (and offset) of the buffer before writing the object. This function handles parsing this message starting from offset 0. @returns how many bytes of @buf were consumed.
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def parse_sentence(obj: dict) -> BioCSentence: sentence = BioCSentence() sentence.offset = obj[] sentence.infons = obj[] sentence.text = obj[] for annotation in obj[]: sentence.add_annotation(parse_annotation(annotation)) for relation in obj[]: sentence.add_relation...
Deserialize a dict obj to a BioCSentence object
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def rdn_to_dn(changes: Changeset, name: str, base_dn: str) -> Changeset: dn = changes.get_value_as_single() if dn is not None: return changes value = changes.get_value_as_single(name) if value is None: raise tldap.exceptions.ValidationError( "Cannot use %s in dn as it i...
Convert the rdn to a fully qualified DN for the specified LDAP connection. :param changes: The changes object to lookup. :param name: rdn to convert. :param base_dn: The base_dn to lookup. :return: fully qualified DN.
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def main(): global args, server_address parser = ArgumentParser(description=__doc__) parser.add_argument( "host", nargs=, help="address of host (default %r)" % (SERVER_HOST,), default=SERVER_HOST, ) parser.add_argument( "port", nargs=, type=int, ...
Main function, called when run as an application.
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def get_cdd_hdd_candidate_models( data, minimum_non_zero_cdd, minimum_non_zero_hdd, minimum_total_cdd, minimum_total_hdd, beta_cdd_maximum_p_value, beta_hdd_maximum_p_value, weights_col, ): cooling_balance_points = [ int(col[4:]) for col in data.columns if col.startswit...
Return a list of candidate cdd_hdd models for a particular selection of cooling balance point and heating balance point Parameters ---------- data : :any:`pandas.DataFrame` A DataFrame containing at least the column ``meter_value`` and 1 to n columns each of the form ``hdd_<heating_bala...
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def handle_authorized(self, event): request_software_version(self.client, self.target_jid, self.success, self.failure)
Send the initial presence after log-in.
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def ffill(arr, dim=None, limit=None): import bottleneck as bn axis = arr.get_axis_num(dim) _limit = limit if limit is not None else arr.shape[axis] return apply_ufunc(bn.push, arr, dask=, keep_attrs=True, output_dtypes=[ar...
forward fill missing values
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def get_urlpatterns(self): return [ path( _(), self.topic_lock_view.as_view(), name=, ), path( _(), self.topic_unlock_view.as_view(), name=, ), pat...
Returns the URL patterns managed by the considered factory / application.
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def UpdateValues(self): msg = wx.grid.GridTableMessage(self, wx.grid.GRIDTABLE_REQUEST_VIEW_GET_VALUES) self.grid.ProcessTableMessage(msg)
Update all displayed values
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def _Execute(statements, context, callback, trace): if trace: trace.exec_depth += 1 for i, statement in enumerate(statements): if isinstance(statement, six.string_types): callback(statement) else: raise
Execute a bunch of template statements in a ScopedContext. Args: callback: Strings are "written" to this callback function. trace: Trace object, or None This is called in a mutually recursive fashion.
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def get_page_template(self, **kwargs): opts = self.object_list.model._meta return .format( opts.app_label, opts.object_name.lower(), self.template_name_suffix, self.page_template_suffix, )
Return the template name used for this request. Only called if *page_template* is not given as a kwarg of *self.as_view*.
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def get_flat(self): self._check_sess() return np.concatenate([ v.eval(session=self.sess).flatten() for v in self.variables.values() ])
Gets the weights and returns them as a flat array. Returns: 1D Array containing the flattened weights.
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def macronize_tags(self, text): return [self._macronize_word(word) for word in self._retrieve_tag(text)]
Return macronized form along with POS tags. E.g. "Gallia est omnis divisa in partes tres," -> [('gallia', 'n-s---fb-', 'galliā'), ('est', 'v3spia---', 'est'), ('omnis', 'a-s---mn-', 'omnis'), ('divisa', 't-prppnn-', 'dīvīsa'), ('in', 'r--------', 'in'), ('partes', 'n-p---fa-', 'partēs'), ...
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def disconnect(self, mol): log.debug() for smarts in [self._metal_nof, self._metal_non]: pairs = mol.GetSubstructMatches(smarts) rwmol = Chem.RWMol(mol) orders = [] for i, j in pairs: orders.append(int(mol...
Break covalent bonds between metals and organic atoms under certain conditions. The algorithm works as follows: - Disconnect N, O, F from any metal. - Disconnect other non-metals from transition metals + Al (but not Hg, Ga, Ge, In, Sn, As, Tl, Pb, Bi, Po). - For every bond broken, adju...
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def apply_time_offset(time, years=0, months=0, days=0, hours=0): return (pd.to_datetime(time.values) + pd.DateOffset(years=years, months=months, days=days, hours=hours))
Apply a specified offset to the given time array. This is useful for GFDL model output of instantaneous values. For example, 3 hourly data postprocessed to netCDF files spanning 1 year each will actually have time values that are offset by 3 hours, such that the first value is for 1 Jan 03:00 and the ...
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def _filter_defs_at_call_sites(self, defs): filtered_defs = LiveDefinitions() for variable, locs in defs.items(): if isinstance(variable, SimRegisterVariable): if self.project.arch.name == : if variable.reg in (self.project.arch...
If we are not tracing into the function that are called in a real execution, we should properly filter the defs to account for the behavior of the skipped function at this call site. This function is a WIP. See TODOs inside. :param defs: :return:
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def _serialize_input_list(input_value): input_list = [] for item in input_value: if isinstance(item, list): input_list.append(Task._serialize_input_list(item)) else: if isinstance(item, File): item = Task._to_api_file_f...
Recursively serialize task input list
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def get_ssm_parameter(parameter_name): try: response = boto3.client().get_parameters( Names=[parameter_name], WithDecryption=True ) return response.get(, None)[0].get(, ) except Exception: pass return
Get the decrypted value of an SSM parameter Args: parameter_name - the name of the stored parameter of interest Return: Value if allowed and present else None
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def device_status(self): try: return self.device_status_simple( self.data.get().get()) except (KeyError, AttributeError): return self.device_status_simple()
Return the status of the device as string.
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def mutect_to_bed(df): s = (df.contig.astype(str) + + (df.position - 1).astype(int).astype(str) + + df.position.astype(int).astype(str) + + df.tumor_name) s = .join(s.values) + bt = pbt.BedTool(s, from_string=True) return bt
Convert MuTect results (read into dataframe) to BedTool object Parameters ---------- df : pandas.DataFrame Pandas DataFrame with MuTect results. Returns ------- bt : pybedtools.BedTool BedTool with variants.
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def handle_assignattr_type(node, parent): try: values = set(node.infer()) current = set(parent.instance_attrs_type[node.attrname]) parent.instance_attrs_type[node.attrname] = list(current | values) except astroid.InferenceError: pass
handle an astroid.assignattr node handle instance_attrs_type
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def get_ref_dir(region, coordsys): if region is None: if coordsys == "GAL": c = SkyCoord(0., 0., frame=Galactic, unit="deg") elif coordsys == "CEL": c = SkyCoord(0., 0., frame=ICRS, unit="deg") return c tokens = parse_hpxregio...
Finds and returns the reference direction for a given HEALPix region string. region : a string describing a HEALPix region coordsys : coordinate system, GAL | CEL
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def figureStimulus(abf,sweeps=[0]): stimuli=[2.31250, 2.35270] for sweep in sweeps: abf.setsweep(sweep) for stimulus in stimuli: S1=int(abf.pointsPerSec*stimulus) S2=int(abf.pointsPerSec*(stimulus+0.001)) abf.sweepY[S1:S2]=np.nan I1=int(abf.poi...
Create a plot of one area of interest of a single sweep.
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def _group_raw(self, raw_scores, cur=None, level=1): def trim_groups(r): if isinstance(r.name, tuple) or isinstance(r.name, list): new_name = r.name[1:] else: new_name = [] return Result(r.weight, r.value, new_name, r.msgs) ...
Internal recursive method to group raw scores into a cascading score summary. Only top level items are tallied for scores. @param list raw_scores: list of raw scores (Result objects)
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def _update_yaw_and_pitch(self): front = Vector3([0.0, 0.0, 0.0]) front.x = cos(radians(self.yaw)) * cos(radians(self.pitch)) front.y = sin(radians(self.pitch)) front.z = sin(radians(self.yaw)) * cos(radians(self.pitch)) self.dir = vector.normalise(front) self.r...
Updates the camera vectors based on the current yaw and pitch
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def convert_type(self, type): mapping = { : sa.Text, : None, : sa.Boolean, : sa.Date, : sa.DateTime, : None, : None, : None, : sa.Integer, : sa.Float, : None, ...
Convert type to SQL
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def optimize_branch_length(self, mode=, **kwargs): self.logger("TreeAnc.optimize_branch_length: running branch length optimization in mode %s..."%mode,1) if (self.tree is None) or (self.aln is None): self.logger("TreeAnc.optimize_branch_length: ERROR, alignment or tree are missing"...
Perform optimization for the branch lengths of the entire tree. This method only does a single path and needs to be iterated. **Note** this method assumes that each node stores information about its sequence as numpy.array object (node.sequence attribute). Therefore, before calling this...
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def x_axis_rotation(theta): R = np.array([[1, 0, 0,], [0, np.cos(theta), -np.sin(theta)], [0, np.sin(theta), np.cos(theta)]]) return R
Generates a 3x3 rotation matrix for a rotation of angle theta about the x axis. Parameters ---------- theta : float amount to rotate, in radians Returns ------- :obj:`numpy.ndarray` of float A random 3x3 rotation matrix.
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def promote_deployment_groups(self, id, groups=list()): promote_groups_json = {"Groups": groups, "DeploymentID": id} return self.request("promote", id, json=promote_groups_json, method="post").json()
This endpoint is used to promote task groups that have canaries for a deployment. This should be done when the placed canaries are healthy and the rolling upgrade of the remaining allocations should begin. https://www.nomadproject.io/docs/http/deployments.html arguments: ...