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def _bfd_rx(self, **kwargs): int_type = kwargs[] method_name = % int_type bfd_rx = getattr(self._interface, method_name) config = bfd_rx(**kwargs) if kwargs[]: tag = config.find( % tag).set(, ) pass return config
Return the BFD minimum receive interval XML. You should not use this method. You probably want `BGP.bfd`. Args: min_rx (str): BFD receive interval in milliseconds (300, 500, etc) delete (bool): Remove the configuration if ``True``. Returns: XML to b...
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def is_complex(self) -> bool: from .main import BaseModel return ( self.shape != Shape.SINGLETON or lenient_issubclass(self.type_, (BaseModel, list, set, dict)) or hasattr(self.type_, ) )
Whether the field is "complex" eg. env variables should be parsed as JSON.
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def _sitelist(self, matrix): _list = [] for item in matrix: sites = [] if isinstance(matrix[item], list): sites = matrix[item] elif isinstance(matrix[item], dict): sites = matrix[item][] for site in sites: ...
Returns a list of sites from a SiteMatrix, optionally filtered by 'domain' param
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def write_meta(self): path = os.path.join(self.get_private_dir(create=True), "meta.yaml") units = {key: str(value) for key, value in self.units.items()} meta_info = dict(description=self.description, ucds=self.ucds, units=units, descriptions=self.descri...
Writes all meta data, ucd,description and units The default implementation is to write this to a file called meta.yaml in the directory defined by :func:`DataFrame.get_private_dir`. Other implementation may store this in the DataFrame file itself. (For instance the vaex hdf5 implementation does...
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def _sync_outlineexplorer_file_order(self): if self.outlineexplorer is not None: self.outlineexplorer.treewidget.set_editor_ids_order( [finfo.editor.get_document_id() for finfo in self.data])
Order the root file items of the outline explorer as in the tabbar of the current EditorStack.
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def _check_axis(self, ds, name): TXYZ allowed_axis = [, , , ] variable = ds.variables[name] axis = variable.axis valid_axis = TestCtx(BaseCheck.HIGH, self.section_titles[]) axis_is_string = isinstance(axis, basestring), valid_axis.assert_true(axis_is_string and l...
Checks that the axis attribute is a string and an allowed value, namely one of 'T', 'X', 'Y', or 'Z'. :param netCDF4.Dataset ds: An open netCDF dataset :param str name: Name of the variable :rtype: compliance_checker.base.Result
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def grad(self, params, epsilon=0.0001): grad = [] for x in range(len(params)): temp = np.copy(params) temp[x] += epsilon temp2 = np.copy(params) temp2[x] -= epsilon grad.append((self.__cost_function(temp)-self.__cost_function(temp2))/(...
Used to check gradient estimation through slope approximation.
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def _parse_source_sections(self, diff_str): source_dict = dict() src_path = None if src_path not in source_dict: source_dict[src_path] = [] if found_hunk or line...
Given the output of `git diff`, return a dictionary with keys that are source file paths. Each value is a list of lines from the `git diff` output related to the source file. Raises a `GitDiffError` if `diff_str` is in an invalid format.
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def GetScriptHashesForVerifying(self): if not self.References and len(self.Attributes) < 1: return [] hashes = set() for coinref, output in self.References.items(): hashes.add(output.ScriptHash) for attr in self.Attributes: if attr.Usage == ...
Get a list of script hashes for verifying transactions. Raises: Exception: if there are no valid assets in the transaction. Returns: list: of UInt160 type script hashes.
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def copy(self): new_client = self._client.copy() return self.__class__( self.instance_id, new_client, self.configuration_name, node_count=self.node_count, display_name=self.display_name, )
Make a copy of this instance. Copies the local data stored as simple types and copies the client attached to this instance. :rtype: :class:`~google.cloud.spanner_v1.instance.Instance` :returns: A copy of the current instance.
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def update_entity(self, entity, if_match=): request = _update_entity(entity, if_match) self._add_to_batch(entity[], entity[], request)
Adds an update entity operation to the batch. See :func:`~azure.storage.table.tableservice.TableService.update_entity` for more information on updates. The operation will not be executed until the batch is committed. :param entity: The entity to update. Could be a...
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def fasta(self): if not self._fasta: self._fasta = .format(self.id, self.sequence) return self._fasta
str: Returns the sequence, as a FASTA-formatted string Note: The FASTA string is built using ``Sequence.id`` and ``Sequence.sequence``.
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def encode(strs): res = for string in strs.split(): res += str(len(string)) + ":" + string return res
Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
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def notes(path): df = pd.read_csv(path, delimiter=) text_row = df.iloc[0:-1, 0].str.contains(, ) text_row_index = text_row.index[text_row].tolist() notes = df.loc[text_row_index] return notes
This function extracts any experimental notes from a ProCoDA data file. :param path: The file path of the ProCoDA data file. If the file is in the working directory, then the file name is sufficient. :type path: string :return: The rows of the data file that contain text notes inserted during the experime...
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def find_commands(cls): cmds = [] for subclass in cls.__subclasses__(): cmds.append(subclass) cmds.extend(find_commands(subclass)) return cmds
Finds commands by finding the subclasses of Command
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def get_bestfit_line(self, x_min=None, x_max=None, resolution=None): x = self.args["x"] if x_min is None: x_min = min(x) if x_max is None: x_max = max(x) if resolution is None: resolution = self.args.get("resolution", 1000) bestfit_x =...
Method to get bestfit line using the defined self.bestfit_func method args: x_min: scalar, default=min(x) minimum x value of the line x_max: scalar, default=max(x) maximum x value of the line resolution: int, default=1000 ...
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def time(self): if self.isMilitaryTime(): format = time_of_day = else: format = time_of_day = self._timeOfDayCombo.currentText().lower() try: hour = int(self._hourCombo.currentText()) if self.showHours() else 1 ...
Returns the current time for this edit. :return <QtCore.QTime>
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def get_objective_banks(self): catalogs = self._get_provider_session().get_objective_banks() cat_list = [] for cat in catalogs: cat_list.append(ObjectiveBank(self._provider_manager, cat, self._runtime, self._proxy)) return ObjectiveBankList(cat_list...
Pass through to provider ObjectiveBankLookupSession.get_objective_banks
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def sample_distinct(self, n_to_sample, **kwargs): n_notsampled = np.sum(np.isnan(self.cached_labels_)) if n_notsampled == 0: raise Exception("All distinct items have already been sampled.") if n_to_sample > n_notsampled: warnings.warn("Only {} distinct...
Sample a sequence of items from the pool until a minimum number of distinct items are queried Parameters ---------- n_to_sample : int number of distinct items to sample. If sampling with replacement, this number is not necessarily the same as the number of ...
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def regex(pattern, prompt=None, empty=False, flags=0): s = _prompt_input(prompt) if empty and not s: return None else: m = re.match(pattern, s, flags=flags) if m: return m else: return regex(pattern, prompt=prompt, empty=empty, flags=flags)
Prompt a string that matches a regular expression. Parameters ---------- pattern : str A regular expression that must be matched. prompt : str, optional Use an alternative prompt. empty : bool, optional Allow an empty response. flags : int, optional Flags that wi...
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def retrieve_by_id(self, id_): items_with_id = [item for item in self if item.id == int(id_)] if len(items_with_id) == 1: return items_with_id[0].retrieve()
Return a JSSObject for the element with ID id_
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def start_worker(self): if not self.include_rq: return None worker = Worker(queues=self.queues, connection=self.connection) worker_pid_path = current_app.config.get( "{}_WORKER_PID".format(self.config_prefix), ) try: ...
Trigger new process as a RQ worker.
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def server(self): server = [s for s in self._server.resources() if s.clientIdentifier == self.machineIdentifier] if len(server) == 0: raise NotFound( % self.machineIdentifier) return server[0]
Returns :class:`plexapi.myplex.MyPlexResource` with server of current item.
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def token(self): if not self._token: self._token = self.fetch_token() logger.payment(self) return self._token
Token given by Transbank for payment initialization url. Will raise PaymentError when an error ocurred.
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def save(self, model_filename, optimizer_filename): serializers.save_hdf5(model_filename, self.model) serializers.save_hdf5(optimizer_filename, self.optimizer)
Save the state of the model & optimizer to disk
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def database_admin_api(self): if self._database_admin_api is None: self._database_admin_api = DatabaseAdminClient( credentials=self.credentials, client_info=_CLIENT_INFO ) return self._database_admin_api
Helper for session-related API calls.
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def retrieve_equities(self, sids): cache = self._asset_cache try: return { k: cache[k] for k in sids } except KeyError: raise EquitiesNotFound(sids=sids)
Retrieve Equity objects for a list of sids. Users generally shouldn't need to this method (instead, they should prefer the more general/friendly `retrieve_assets`), but it has a documented interface and tests because it's used upstream. Parameters ---------- sids : iter...
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def Readdir(self, path, fh=None): del fh if not self._IsDir(path): raise fuse.FuseOSError(errno.ENOTDIR) fd = aff4.FACTORY.Open(self.root.Add(path), token=self.token) children = fd.ListChildren() for directory in [u".", u".."]: yield directory for child ...
Reads a directory given by path. Args: path: The path to list children of. fh: A file handler. Not used. Yields: A generator of filenames. Raises: FuseOSError: If we try and list a file.
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def from_json(cls, json_doc): d = json.loads(json_doc) token = cls() token.__dict__.update(d) return token
Create and return a new Session Token based on the contents of a JSON document. :type json_doc: str :param json_doc: A string containing a JSON document with a previously saved Credentials object.
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def is_exported(bundle): if not ckan: raise EnvironmentError(MISSING_CREDENTIALS_MSG) params = {: .format(bundle.dataset.vid.lower())} resp = ckan.action.package_search(**params) return len(resp[]) > 0
Returns True if dataset is already exported to CKAN. Otherwise returns False.
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def find_cell_end(self, lines): if self.in_region: self.cell_type = for i, line in enumerate(lines): if self.end_region_re.match(line): return i, i + 1, True elif self.metadata is None: self.cell_type = ...
Return position of end of cell marker, and position of first line after cell
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def anneal(self, mode, matches, orig_matches): changed = False def dupes_in_matches(): items_by_path = config.engine.group_by() hashes = set([x.hash for x in matches]) for idx, item in enumerate(matches): same_path_but_not_in_mat...
Perform post-processing. Return True when any changes were applied.
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def _fix_quantities(tree): if isinstance(tree, dict): tree = {k: _fix_quantities(v) for k, v in tree.items()} if isinstance(tree.get(), list): tree[] = len(tree[]) if not tree[]: tree.pop() return tree elif isinstance(tree, list): re...
Stupidly simple function to fix any Items/Quantity disparities inside a DistributionConfig block before use. Since AWS only accepts JSON-encodable data types, this implementation is "good enough" for our purposes.
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def _set_fcoe_fcf_map(self, v, load=False): if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("fcf_map_name",fcoe_fcf_map.fcoe_fcf_map, yang_name="fcoe-fcf-map", rest_name="fcf-group", parent=self, is_container=, user_ordered=False, path_helper=self._path_helper...
Setter method for fcoe_fcf_map, mapped from YANG variable /fcoe/fcoe_fabric_map/fcoe_fcf_map (list) If this variable is read-only (config: false) in the source YANG file, then _set_fcoe_fcf_map is considered as a private method. Backends looking to populate this variable should do so via calling thisObj...
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def resolve_dst(self, dst_dir, src): if os.path.isabs(src): return os.path.join(dst_dir, os.path.basename(src)) return os.path.join(dst_dir, src)
finds the destination based on source if source is an absolute path, and there's no pattern, it copies the file to base dst_dir
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def get_activity_admin_session_for_objective_bank(self, objective_bank_id=None): if not objective_bank_id: raise NullArgument if not self.supports_activity_admin(): raise Unimplemented() try: from . import sessions except ImportError: ...
Gets the OsidSession associated with the activity admin service for the given objective bank. arg: objectiveBankId (osid.id.Id): the Id of the objective bank return: (osid.learning.ActivityAdminSession) - an ActivityAdminSession raise: NotFound - obje...
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def _make_parent(self): if self.is_partial: parent_args = self.flat_path[:-1] else: parent_args = self.flat_path[:-2] if parent_args: return self.__class__( *parent_args, project=self.project, namespace=self.namespace )
Creates a parent key for the current path. Extracts all but the last element in the key path and creates a new key, while still matching the namespace and the project. :rtype: :class:`google.cloud.datastore.key.Key` or :class:`NoneType` :returns: A new ``Key`` instance, whose path cons...
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def merge_with(self, another, ubound=None, top_id=None): self.top_id = max(self.top_id, top_id if top_id != None else 0, another.top_id) self.ubound = max(self.ubound, ubound if ubound != None else 0, another.ubound) self.lits.extend(another.lits) def_sigint...
This method merges a tree of the current :class:`ITotalizer` object, with a tree of another object and (if needed) increases a potential upper bound that can be imposed on the complete list of literals in the sum of an existing :class:`ITotalizer` object to a new value. ...
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def _prep_datum(self, datum, dialect, col, needs_conversion): if datum is None or (needs_conversion and not str(datum).strip()): return pytype = self.columns[col][] if needs_conversion: if pytype == datetime.datetime: datum = dateutil.parser.par...
Puts a value in proper format for a SQL string
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def add_graph(patterns, G): if not patterns: patterns.append([G]) return for i, graphs in enumerate(patterns): if networkx.is_isomorphic(graphs[0], G, node_match=type_match, edge_match=type_match): patterns[i].append(G) retur...
Add a graph to a set of unique patterns.
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def exists(self): self_object = self.query.filter_by(id=self.id).first() if self_object is None: return False return True
Checks if item already exists in database
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def _get_size(size, size_max, size_min, default_max, default_min): if len(default_max) != len(default_min): raise ValueError( .format(str(default_max), str(default_min)) + ) if size is not None...
Helper method for providing a size, or a range to randomize from
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def fit(self, X, y=None, **kwargs): self.k_scores_ = [] self.k_timers_ = [] if self.locate_elbow: self.elbow_value_ = None self.elbow_score_ = None for k in self.k_values_: start = time.time() self.est...
Fits n KMeans models where n is the length of ``self.k_values_``, storing the silhouette scores in the ``self.k_scores_`` attribute. The "elbow" and silhouette score corresponding to it are stored in ``self.elbow_value`` and ``self.elbow_score`` respectively. This method finishes up by c...
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def to_string(cls, error_code): if error_code == cls.RTT_ERROR_CONTROL_BLOCK_NOT_FOUND: return return super(JLinkRTTErrors, cls).to_string(error_code)
Returns the string message for the given error code. Args: cls (JLinkRTTErrors): the ``JLinkRTTErrors`` class error_code (int): error code to convert Returns: An error string corresponding to the error code. Raises: ValueError: if the error code is inva...
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def _prep_cnv_file(cns_file, svcaller, work_dir, data): in_file = cns_file out_file = os.path.join(work_dir, "%s-%s-prep.csv" % (utils.splitext_plus(os.path.basename(in_file))[0], svcaller)) if not utils.file_uptodate(out_file, in_file): ...
Create a CSV file of CNV calls with log2 and number of marks.
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def information_coefficient(total1,total2,intersect): total = total1 + total2 return 2.0*len(intersect) / total
a simple jacaard (information coefficient) to compare two lists of overlaps/diffs
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def _submit(self): user_prompt_issueI want to do the thing.record_asciinema/tmp/helpme.93o__nt5.jsonrecord_environment self.authenticate() title = "HelpMe UserVoice Ticket: %s" %(self.run_id) body = self.data[] envars = self.data.get() if envars not...
submit a uservoice ticket. When we get here we should have: {'user_prompt_issue': 'I want to do the thing.', 'record_asciinema': '/tmp/helpme.93o__nt5.json', 'record_environment': ((1,1),(2,2)...(N,N))} Required Client Variables self.api_key ...
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async def stop(self): self.stopped = True self.loop_event.set() await self.stopped_event.wait()
Stop heartbeat.
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def data_directory(self): return expand_path(self.get(property_name=, environment_variable=, configuration_option=, default= if is_root() else ))
The absolute pathname of the directory where pip-accel's data files are stored (a string). - Environment variable: ``$PIP_ACCEL_CACHE`` - Configuration option: ``data-directory`` - Default: ``/var/cache/pip-accel`` if running as ``root``, ``~/.pip-accel`` otherwise
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def add_track(self, *args, **kwargs): new_track = Track(*args, **kwargs) self.tracks = self.tracks + [new_track]
Add a track to a position. Parameters ---------- track_type: string The type of track to add (e.g. "heatmap", "line") position: string One of 'top', 'bottom', 'center', 'left', 'right' tileset: hgflask.tilesets.Tileset The tileset to be plotte...
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def makedoetree(ddict, bdict): dlist = list(ddict.keys()) blist = list(bdict.keys()) dlist.sort() blist.sort() doesnot = lst = [] for num in range(0, len(blist)): if bdict[blist[num]] == doesnot: lst = lst + [blist[num]] doedict = {} for num in range(0...
makedoetree
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def take_along_axis(large_array, indexes): if len(large_array.shape) > len(indexes.shape): indexes = indexes.reshape(indexes.shape + tuple([1] * (len(large_array.shape) - len(indexes.shape)))) return np.take_along_axis(large_array, indexes, axis=0)
Take along axis
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def reshape(self, shape: tf.TensorShape) -> : s shape. Returns: A TensorFluent wrapping the reshape operation. ' t = tf.reshape(self.tensor, shape) scope = self.scope.as_list() batch = self.batch return TensorFluent(t, scope, batch=batch)
Returns a TensorFluent for the reshape operation with given `shape`. Args: shape: The output's shape. Returns: A TensorFluent wrapping the reshape operation.
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def _candidate_merges(self, f): candidates = [self._get_feature(f.id)] c = self.conn.cursor() results = c.execute( constants._SELECT + , (f.id,) ) for i in results: candidates.append( feature.Feature(dialect=self.iterat...
Identifies those features that originally had the same ID as `f` (according to the id_spec), but were modified because of duplicate IDs.
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def get_displays_params(self) -> str: output, error = self._execute( , self.device_sn, , , , ) return output
Show displays parameters.
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def make_PCEExtension_for_prebuilding_Code( name, Code, prebuild_sources, srcdir, downloads=None, **kwargs): import glob from .dist import PCEExtension build_files = [] dist_files = [(os.path.join(srcdir, x[0]), x[1]) for x in getattr(Code, , [])] for attr in...
If subclass of codeexport.Generic_Code needs to have some of it sources compiled to objects and cached in a `prebuilt/` directory at invocation of `setup.py build_ext` this convenience function makes setting up a PCEExtension easier. Use together with cmdclass = {'build_ext': pce_build_ext}. files ...
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def node(self, name): nodes = self.nodes(path=name) return next(node for node in nodes)
Gets a single node from PuppetDB. :param name: The name of the node search. :type name: :obj:`string` :return: An instance of Node :rtype: :class:`pypuppetdb.types.Node`
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def cli(conf): if conf: if not os.path.isfile(conf): raise click.exceptions.BadParameter("{} is not a file".format(conf)) try: config.conf.load_config(config_path=conf) except exceptions.ConfigurationException as e: raise click.exceptions.BadParameter...
The fedora-messaging command line interface.
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def display_waypoints(self): from MAVProxy.modules.mavproxy_map import mp_slipmap self.mission_list = self.module().wploader.view_list() polygons = self.module().wploader.polygon_list() self.map.add_object(mp_slipmap.SlipClearLayer()) for i in range(len(polygons)): ...
display the waypoints
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def _canonicalize(self, filename): path, ext = os.path.splitext(filename) if not ext: ext = ".collection" return path + ext
Use .collection as extension unless provided
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def resource(self, uri, methods=frozenset({}), host=None, strict_slashes=None, stream=False, version=None, name=None, **kwargs): if strict_slashes is None: strict_slashes = self.strict_slashes def decorator(handler): self.resources.appe...
Create a blueprint resource route from a decorated function. :param uri: endpoint at which the route will be accessible. :param methods: list of acceptable HTTP methods. :param host: :param strict_slashes: :param version: :param name: user defined route name for url_for ...
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def add_to_item_list(self, item_urls, item_list_url): item_list_url = str(item_list_url) name = self.get_item_list(item_list_url).name() return self.add_to_item_list_by_name(item_urls, name)
Instruct the server to add the given items to the specified Item List :type item_urls: List or ItemGroup :param item_urls: List of URLs for the items to add, or an ItemGroup object :type item_list_url: String or ItemList :param item_list_url: the URL of the list to w...
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def do_handle_log(self, workunit, level, *msg_elements): entry_info = { : self._log_level_str[level], : self._render_messages(*msg_elements), } root_id = str(workunit.root().id) current_stack = self._root_id_to_workunit_stack[root_id] if current_stack: current_stack[-1][].ap...
Implementation of Reporter callback.
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def get_allowed_methods(self): return ", ".join([method for method in dir(self) if method.upper() == method and callable(getattr(self, method))])
Returns a coma-separated list of method names that are allowed on this instance. Useful to set the ``Allowed`` response header.
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def sunset_utc(self, date, latitude, longitude, observer_elevation=0): try: return self._calc_time(90 + 0.833, SUN_SETTING, date, latitude, longitude, observer_elevation) except ValueError as exc: if exc.args[0] == "math domain error": raise AstralError(...
Calculate sunset time in the UTC timezone. :param date: Date to calculate for. :type date: :class:`datetime.date` :param latitude: Latitude - Northern latitudes should be positive :type latitude: float :param longitude: Longitude - Eastern longitudes should be...
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def Call(self, Id=0): o = Call(self, Id) o.Status return o
Queries a call object. :Parameters: Id : int Call identifier. :return: Call object. :rtype: `call.Call`
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def get_item_type_id_from_identifier(self, identifier, item_types=None): if item_types is None: item_types = ItemType.objects.get_all_types() identifier_type, _ = identifier.split() item_types = [it for it in item_types.values() if it[].endswith(identifier_type)] if ...
Get an ID of item type for the given identifier. Identifier is a string of the following form: <model_prefix>/<model_identifier> where <model_prefix> is any suffix of database table of the given model which uniquely specifies the table, and <model_identifier> is identifier of t...
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def default(cls) -> : if cls._default_cache is not None: return cls._default_cache if pkg_resources.resource_exists(__name__, ): import lzma with pkg_resources.resource_stream(__name__, ) as f: w...
Returns a reasonable default PrecalculatedTextMeasurer.
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def get_legacy_storage_path(self): config_dir = os.path.dirname( self.py3_wrapper.config.get("i3status_config_path", "/tmp") ) storage_path = os.path.join(config_dir, "py3status.data") if os.path.exists(storage_path): return storage_path else: ...
Detect and return existing legacy storage path.
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def BSearchCeil(a, x, lo=0, hi=None): if len(a) == 0: return -1 hi = hi if hi is not None else len(a) pos = bisect_left(a, x, lo, hi) return pos if pos < hi else -1
Returns lowest i such as a[i] >= x, or -1 if x > all elements in a So, if x is in between two elements in a, this function will return the index of the higher element, hence "Ceil". Arguments: a -- ordered numeric sequence x -- element to search within a lo -- lowest index to con...
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def from_computed_structure_entry(entry, miller_index, label=None, adsorbates=None, clean_entry=None, **kwargs): return SlabEntry(entry.structure, entry.energy, miller_index, label=label, adsorbates=adsorbates, clean_entry=clean_entry, **kw...
Returns SlabEntry from a ComputedStructureEntry
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def write(self, node, filehandle): dictexporter = self.dictexporter or DictExporter() data = dictexporter.export(node) return json.dump(data, filehandle, **self.kwargs)
Write JSON to `filehandle` starting at `node`.
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def _unpack_oxm_field(self): field_int = self.oxm_field_and_mask >> 1 if self.oxm_class == OxmClass.OFPXMC_OPENFLOW_BASIC: return OxmOfbMatchField(field_int) return field_int
Unpack oxm_field from oxm_field_and_mask. Returns: :class:`OxmOfbMatchField`, int: oxm_field from oxm_field_and_mask. Raises: ValueError: If oxm_class is OFPXMC_OPENFLOW_BASIC but :class:`OxmOfbMatchField` has no such integer value.
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def _run_play(self, play): self.callbacks.on_play_start(play.name) if not self.inventory.list_hosts(play.hosts): self.callbacks.on_no_hosts_matched() return True self._do_setup_step(play) all_hosts = self._list_available_hos...
run a list of tasks for a given pattern, in order
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def augmentation_transform(self, data, label): for aug in self.auglist: data, label = aug(data, label) return (data, label)
Override Transforms input data with specified augmentations.
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def activate(self, target=None, **options): log.debug("initiator options: {0}".format(options)) self.did = options.get(, None) self.nad = options.get(, None) self.gbi = options.get(, )[0:48] self.brs = min(max(0, options.get(, 2)), 2) self.lri = min(max(0, optio...
Activate DEP communication with a target.
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def initialize(self, params, repetition): self.name = params["name"] self.dataDir = params.get("datadir", "data") self.seed = params.get("seed", 42) + repetition torch.manual_seed(self.seed) np.random.seed(self.seed) random.seed(self.seed) self.epochs = params.get("epochs", 1) ...
Initialize experiment parameters and default values from configuration file
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def water_self_diffusion_coefficient(T=None, units=None, warn=True, err_mult=None): if units is None: K = 1 m = 1 s = 1 else: K = units.Kelvin m = units.meter s = units.second if T is None: T = 298.15*K _D0...
Temperature-dependent self-diffusion coefficient of water. Parameters ---------- T : float Temperature (default: in Kelvin) units : object (optional) object with attributes: Kelvin, meter, kilogram warn : bool (default: True) Emit UserWarning when outside temperature range. ...
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def map_names(lang="en"): cache_name = "map_names.%s.json" % lang data = get_cached("map_names.json", cache_name, params=dict(lang=lang)) return dict([(item["id"], item["name"]) for item in data])
This resource returns an dictionary of the localized map names for the specified language. Only maps with events are listed - if you need a list of all maps, use ``maps.json`` instead. :param lang: The language to query the names for. :return: the response is a dictionary where the key is the map id an...
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def get_data(self, environment_title_or_num=-1, frequency=None): if isinstance(environment_title_or_num, int): environment_title = tuple(self._raw_environments.keys())[environment_title_or_num] else: environment_title = environment_title_or_num if envi...
Parameters ---------- environment_title_or_num frequency: 'str', default None 'timestep', 'hourly', 'daily', 'monthly', 'annual', 'run_period' If None, will look for the smallest frequency of environment.
680
def log_likelihood(self): ll = GP.log_likelihood(self) jacobian = self.warping_function.fgrad_y(self.Y_untransformed) return ll + np.log(jacobian).sum()
Notice we add the jacobian of the warping function here.
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def step_random_processes(oscillators): if not rand.prob_bool(0.01): return amp_bias_weights = [(0.001, 1), (0.1, 100), (0.15, 40), (1, 0)] num_moves = iching.get_hexagram() % len(oscillators) for i in range(num_moves): pair = [gram % len(oscillators) for gram i...
Args: oscillators (list): A list of oscillator.Oscillator objects to operate on Returns: None
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def fit(self, x, y=None, batch_size=32, nb_epoch=10, validation_data=None, distributed=True): if distributed: if isinstance(x, np.ndarray) and isinstance(y, np.ndarray): training_data = to_sample_rdd(x, y) if validation_data: validation_da...
Train a model for a fixed number of epochs on a dataset. # Arguments x: Input data. A Numpy array or RDD of Sample or Image DataSet. y: Labels. A Numpy array. Default is None if x is already RDD of Sample or Image DataSet. batch_size: Number of samples per gradient update. nb_ep...
683
def get(self, key, default=None, as_int=False, setter=None): if as_int: val = uwsgi.cache_num(key, self.name) else: val = decode(uwsgi.cache_get(key, self.name)) if val is None: if setter is None: return default val = se...
Gets a value from the cache. :param str|unicode key: The cache key to get value for. :param default: Value to return if none found in cache. :param bool as_int: Return 64bit number instead of str. :param callable setter: Setter callable to automatically set cache value if...
684
def delete_state_definition(self, process_id, wit_ref_name, state_id): route_values = {} if process_id is not None: route_values[] = self._serialize.url(, process_id, ) if wit_ref_name is not None: route_values[] = self._serialize.url(, wit_ref_name, ) if...
DeleteStateDefinition. [Preview API] Removes a state definition in the work item type of the process. :param str process_id: ID of the process :param str wit_ref_name: The reference name of the work item type :param str state_id: ID of the state
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def single_page_members(self, page_number=1): url = % (self.dismiss_url, page_number) html = self.request(url).text soup = BeautifulSoup(html) members_html = soup.find(id=) if not members_html: return [] def get_tag_string(html, class_, tag=, n=0): ...
获取单个页面内的小组成员信息 :param page_number: 页码 :return: 包含小组成员信息的列表 返回值示例: :: [{ 'id': 123, # member_id 'username': 'jim', # username 'nickname': 'Jim', # 昵称 'role': u'小组长', # 身份 ...
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def show_fabric_trunk_info_input_rbridge_id(self, **kwargs): config = ET.Element("config") show_fabric_trunk_info = ET.Element("show_fabric_trunk_info") config = show_fabric_trunk_info input = ET.SubElement(show_fabric_trunk_info, "input") rbridge_id = ET.SubElement(inpu...
Auto Generated Code
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def vertices(self): if self._faces is None: if self._vertices is None: return None self.triangulate() return self._vertices
Return an array (Nf, 3) of vertices. If only faces exist, the function computes the vertices and returns them. If no vertices or faces are specified, the function returns None.
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def _get_event_and_context(self, event, arg_type): eid = _choose_id(event, arg_type) ev = self.concept_dict[eid] concept, metadata = self._make_concept(ev) ev_delta = {: [], : get_states(ev), : get_polarity(ev)} context = self._mak...
Return an INDRA Event based on an event entry.
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def _format_params(self, type_, params): if in params: initial_state = params[] if isinstance(initial_state, Mapping): initial_state_list = [3]*self.properties[] low = -1 if type_ == else 0 ...
Reformat some of the parameters for sapi.
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def version(self) -> Optional[str]: if self._version is None: self._version = self._parser.get_http_version() return self._version
获取 http 版本
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def get_biome_color_based_on_elevation(world, elev, x, y, rng): s rgb value, potentially modifying the noise based on elevation, and finally incorporating this with the base biome color. The basic rules regarding noise generation are: - Oceans have no noise added - land tiles star...
This is the "business logic" for determining the base biome color in satellite view. This includes generating some "noise" at each spot in a pixel's rgb value, potentially modifying the noise based on elevation, and finally incorporating this with the base biome color. The basic rules regardi...
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def anonymous_login(self): self._LOG.debug("Attempting Anonymous login") self._pre_login() self.username = None self.login_key = None message = MsgProto(EMsg.ClientLogon) message.header.steamid = SteamID(type=, universe=) message.body.protocol_version ...
Login as anonymous user :return: logon result, see `CMsgClientLogonResponse.eresult <https://github.com/ValvePython/steam/blob/513c68ca081dc9409df932ad86c66100164380a6/protobufs/steammessages_clientserver.proto#L95-L118>`_ :rtype: :class:`.EResult`
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def _draw_circle(self, pos_x, pos_y, radius, depth, stroke_width=1., fill_color=None, border_color=None, from_angle=0., to_angle=2 * pi): visible = False if not self.point_outside_view((pos_x, pos_y)): visible = True if not visible: ...
Draws a circle Draws a circle with a line segment a desired position with desired size. :param float pos_x: Center x position :param float pos_y: Center y position :param float depth: The Z layer :param float radius: Radius of the circle
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def delete_message(self, messageid="", folderid="", stackid=""): if self.standard_grant_type is not "authorization_code": raise DeviantartError("Authentication through Authorization Code (Grant Type) is required in order to connect to this endpoint.") response = self._req(, post_...
Delete a message or a message stack :param folderid: The folder to delete the message from, defaults to inbox :param messageid: The message to delete :param stackid: The stack to delete
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def _GetStringValue(self, data_dict, name, default_value=None): values = data_dict.get(name, None) if not values: return default_value for index, value in enumerate(values): if in value: values[index] = .format(value) return .join(values)
Retrieves a specific string value from the data dict. Args: data_dict (dict[str, list[str]): values per name. name (str): name of the value to retrieve. default_value (Optional[object]): value to return if the name has no value set in data_dict. Returns: str: value represente...
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def parse_orgtable(lines): def parseline(l): w = l.split()[1:-1] return [wi.strip() for wi in w] columns = parseline(lines[0]) data = [] for line in lines[2:]: data.append(map(str, parseline(line))) dataframe = _pd.DataFrame(data=data, columns=columns) dataframe.set...
Parse an org-table (input as a list of strings split by newline) into a Pandas data frame. Parameters ---------- lines : string an org-table input as a list of strings split by newline Returns ------- dataframe : pandas.DataFrame A data frame containing the org-table's ...
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def strings_to_integers(strings: Iterable[str]) -> Iterable[int]: return strings_to_(strings, lambda x: int(float(x)))
Convert a list of strings to a list of integers. :param strings: a list of string :return: a list of converted integers .. doctest:: >>> strings_to_integers(['1', '1.0', '-0.2']) [1, 1, 0]
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def multipoint(self, points): shapeType = MULTIPOINT points = [points] self._shapeparts(parts=points, shapeType=shapeType)
Creates a MULTIPOINT shape. Points is a list of xy values.
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def is_step_visible(self, step): return self.idempotent_dict.get(step, True) or \ step not in self.storage.validated_step_data
Returns whether the given `step` should be included in the wizard; it is included if either the form is idempotent or not filled in before.