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def ggnn_fast_dense(node_states, adjacency_matrix, num_edge_types, total_value_depth, name=None): with tf.variable_scope( name, default_name="ggnn_fast_dense", values=[node_states, adjacency_matrix, num_edge_typ...
ggnn version of the MPNN from Gilmer et al. Let B be the number of batches. Let D be the size of the node hidden states. Let K be the size of the attention keys/queries. Let V be the size of the output of the ggnn. Let T be the number of transforms / edge types. Args: node_states: The value Tensor of ...
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def shift_right_3d(x, pad_value=None): if pad_value is None: shifted_targets = tf.pad(x, [[0, 0], [1, 0], [0, 0]])[:, :-1, :] else: shifted_targets = tf.concat([pad_value, x], axis=1)[:, :-1, :] return shifted_targets
Shift the second dimension of x right by one.
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def compute(self): if "Signature" in self.params: raise RuntimeError("Existing signature in parameters") if self.signature_version is not None: version = self.signature_version else: version = self.params["SignatureVersion"] if str(version) ==...
Compute and return the signature according to the given data.
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def setTau(self, vehID, tau): self._connection._sendDoubleCmd( tc.CMD_SET_VEHICLE_VARIABLE, tc.VAR_TAU, vehID, tau)
setTau(string, double) -> None Sets the driver's tau-parameter (reaction time or anticipation time depending on the car-following model) in s for this vehicle.
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def split_filename(pathname): filepart = win32.PathFindFileName(pathname) pathpart = win32.PathRemoveFileSpec(pathname) return (pathpart, filepart)
@type pathname: str @param pathname: Absolute path. @rtype: tuple( str, str ) @return: Tuple containing the path to the file and the base filename.
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def get_source_from_contracts_list(self, contracts): if contracts is None or len(contracts) == 0: return if isinstance(contracts[0], SolidityContract): self.source_type = "solidity-file" self.source_format = "text" for contract in contracts: ...
get the source data from the contracts list :param contracts: the list of contracts :return:
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def get_relationship_query_session_for_family(self, family_id=None, proxy=None): if not family_id: raise NullArgument if not self.supports_relationship_query(): raise Unimplemented() try: from . import sessions excep...
Gets the ``OsidSession`` associated with the relationship query service for the given family. arg: family_id (osid.id.Id): the ``Id`` of the family arg: proxy (osid.proxy.Proxy): a proxy return: (osid.relationship.RelationshipQuerySession) - a ``RelationshipQuerySession`` ...
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def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): mean, stds = self._get_mean_and_stddevs(sites, rup, dists, imt, stddev_types) stddevs = [np.ones(len(dists.repi))*get_sigma(imt)] return mean, stddevs
See documentation for method `GroundShakingIntensityModel` in :class:~`openquake.hazardlib.gsim.base.GSIM`
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def is_all_field_none(self): if self._uuid is not None: return False if self._avatar is not None: return False if self._public_nick_name is not None: return False if self._display_name is not None: return False if self...
:rtype: bool
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def _countOverlap(rep1, rep2): overlap = 0 for e in rep1: if e in rep2: overlap += 1 return overlap
Return the overlap between two representations. rep1 and rep2 are lists of non-zero indices.
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def list_campaigns(self, **kwargs): kwargs = self._verify_sort_options(kwargs) kwargs = self._verify_filters(kwargs, Campaign, True) api = self._get_api(update_service.DefaultApi) return PaginatedResponse(api.update_campaign_list, lwrap_type=Campaign, **kwargs)
List all update campaigns. :param int limit: number of campaigns to retrieve :param str order: sort direction of campaigns when ordered by creation time (desc|asc) :param str after: get campaigns after given campaign ID :param dict filters: Dictionary of filters to apply :return...
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def _iterbfs(self, start, end=None, forward=True): queue, visited = deque([(start, 0)]), set([start]) if forward: get_edges = self.out_edges get_next = self.tail else: get_edges = self.inc_edges get_next = self.head whil...
The forward parameter specifies whether it is a forward or backward traversal. Returns a list of tuples where the first value is the hop value the second value is the node id.
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def moreData(ra,dec,box): import cfhtCutout cdata={: ra, : dec, : 0.2} inter=cfhtCutout.find_images(cdata,0.2)
Search the CFHT archive for more images of this location
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def get(self, key): s key :return: corresponding value ' if key in self._data_fields: return self._data_fields[key] if key in self._sub_reports: return self._sub_reports[key] return None
Get a value for a given key :param key: entry's key :return: corresponding value
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def _update_secrets(self): self.secrets = read_client_secrets() if self.secrets is not None: if "registry" in self.secrets: if "base" in self.secrets[]: self.base = self.secrets[][] self._update_base()
update secrets will take a secrets credential file either located at .sregistry or the environment variable SREGISTRY_CLIENT_SECRETS and update the current client secrets as well as the associated API base.
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def averageValues(self): assert self.opts[] and self.opts[] == filled = self.density > 1 v = self.values.copy() v[filled] /= self.density[filled] v[~filled] *= self.density[~filled] return v
return the averaged values in the grid
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def pull_tar(url, name, verify=False): return _pull_image(, url, name, verify=verify)
Execute a ``machinectl pull-raw`` to download a .tar container image, and add it to /var/lib/machines as a new container. .. note:: **Requires systemd >= 219** url URL from which to download the container name Name for the new container verify : False Perform sig...
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def _(f, x): result = {} for k, v in x.items(): k_, v_ = f(k, v) result[k_] = v_ return result
fmap for dict like, not `f` should have signature `f::key->value->(key, value)`
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def _get_driver(self): ComputeEngine = get_driver(Provider.GCE) return ComputeEngine( self.service_account_email, self.service_account_file, project=self.service_account_project )
Get authenticated GCE driver.
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def create_weapon_layer(weapon, hashcode, isSecond=False): return pgnreader.parse_pagan_file(( % (PACKAGE_DIR, os.sep, os.sep)) + weapon + , hashcode, sym=False, invert=isSecond)
Creates the layer for weapons.
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def decimal(self, prompt, default=None, lower=None, upper=None): prompt = prompt if prompt is not None else "Enter a decimal number" prompt += " [{0}]: ".format(default) if default is not None else return self.input( curry(filter_decimal, default=default, lower=lower, upper...
Prompts user to input decimal, with optional default and bounds.
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def exit_config_mode(self, exit_config="exit configuration-mode"): output = "" if self.check_config_mode(): output = self.send_command_timing( exit_config, strip_prompt=False, strip_command=False ) if "uncommitted changes" in outp...
Exit configuration mode.
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def insert(self, context, plan): op = execution.Insert(self.__comp_name, self.__comp()) if op not in plan and self.available(context) != True: for dep_stub in self.dependencies(): dep_stub.insert(context, plan) plan.append(op)
Include an insert operation to the given plan. :param execution.Context context: Current execution context. :param list plan: List of :class:`execution.Operation` instances.
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def run(**kwargs): c3.large if in kwargs: kwargs.pop() ret = { : list(kwargs), : {}, : , : None, } functions = [func for func in kwargs if in func] missing = [] tests = [] for func in functions: func = func.split()[0] if func no...
Run a single module function or a range of module functions in a batch. Supersedes ``module.run`` function, which requires ``m_`` prefix to function-specific parameters. :param returner: Specify a common returner for the whole batch to send the return data :param kwargs: Pass any argum...
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def rollback(self): logger.info() config_text = self.compare_config(other=self.original_config) if len(config_text) > 0: return self._commit(config_text, force=True, reload_original_config=False)
It will rollback all changes and go to the *original_config*
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def set_default(self): try: os.makedirs(os.path.dirname(self._configfile)) except: pass self._config = configparser.RawConfigParser() self._config.add_section() for key, val in self.DEFAULTS.items(): self._config.set(, key, val) ...
Set config to default.
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def smooth(x0, rho, gamma, axis=0): n = x0.shape[axis] lap_op = spdiags([(2 + rho / gamma) * np.ones(n), -1 * np.ones(n), -1 * np.ones(n)], [0, -1, 1], n, n, format=) x_out = np.rollaxis(spsolve(gamma * lap_op, rho * np.rollaxis(x0, axis, 0)), axis, 0) return x_out
Proximal operator for a smoothing function enforced via the discrete laplacian operator Notes ----- Currently only works with matrices (2-D arrays) as input Parameters ---------- x0 : array_like The starting or initial point used in the proximal update step rho : float Mom...
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def add_sign(xml, key, cert, debug=False, sign_algorithm=OneLogin_Saml2_Constants.RSA_SHA1, digest_algorithm=OneLogin_Saml2_Constants.SHA1): if xml is None or xml == : raise Exception() elem = OneLogin_Saml2_XML.to_etree(xml) sign_algorithm_transform_map = { On...
Adds signature key and senders certificate to an element (Message or Assertion). :param xml: The element we should sign :type: string | Document :param key: The private key :type: string :param cert: The public :type: string :param debug: Activate the ...
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def remove_functions(source, all_inline=False): global INLINE_COUNT inline = {} hoisted = {} n = 0 limit = len(source) - 9 res = last = 0 while n < limit: if n and source[n - 1] in IDENTIFIER_PART: n += 1 continue if source[n:n + 8] == and...
removes functions and returns new source, and 2 dicts. first dict with removed hoisted(global) functions and second with replaced inline functions
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def _baseattrs(self): result = super()._baseattrs result["params"] = ", ".join(self.parameters) return result
A dict of members expressed in literals
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def loggers(self): ret = [] if self.logger_name: if isinstance(self.logger_name, logging.Logger): ret.append((self.logger_name.name, self.logger_name)) else: ret.append((self.logger_name, logging.getLogger(self.logger_name))) else...
Return all the loggers that should be activated
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def _detach(cls, disk_id): disk = cls._info(disk_id) opers = [] if disk.get(): for vm_id in disk[]: cls.echo( % vm_id) cls.echo() opers.append(cls.call(, vm_id, disk_id)) return ope...
Detach a disk from a vm.
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def sponsored(self, **kwargs): eqs = self.search(**kwargs) eqs = eqs.filter(AllSponsored()) published_offset = getattr(settings, "RECENT_SPONSORED_OFFSET_HOURS", None) if published_offset: now = timezone.now() eqs = eqs.filter( Published( ...
Search containing any sponsored pieces of Content.
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def downgrade(): op.drop_constraint(op.f(), , type_=) op.drop_index(op.f(), table_name=) op.create_foreign_key(, , , [], []) op.drop_constraint( op.f(), , type_=) op.drop_index(op.f(), ...
Downgrade database.
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def sub_symbols(pattern, code, symbol): return pattern.replace(, code).replace(, symbol)
Substitutes symbols in CLDR number pattern.
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def albedo(self, value=999.0): if value is not None: try: value = float(value) except ValueError: raise ValueError( .format(value)) self._albedo = value
Corresponds to IDD Field `albedo` Args: value (float): value for IDD Field `albedo` Missing value: 999.0 if `value` is None it will not be checked against the specification and is assumed to be a missing value Raises: ValueError: ...
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def get(self, request, uri): uri = self.decode_uri(uri) revisions = cio.revisions(uri) revisions = [list(revision) for revision in revisions] return self.render_to_json(revisions)
List uri revisions. JSON Response: [[uri, state], ...]
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def grant(self, lock, unit): if not hookenv.is_leader(): return False granted = set() for u in self.grants: if lock in self.grants[u]: granted.add(u) if unit in granted: return True reqs = set() ...
Maybe grant the lock to a unit. The decision to grant the lock or not is made for $lock by a corresponding method grant_$lock, which you may define in a subclass. If no such method is defined, the default_grant method is used. See Serial.default_grant() for details.
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def write_summary(self, global_step, delta_train_start, lesson_num=0): if global_step % self.trainer_parameters[] == 0 and global_step != 0: is_training = "Training." if self.is_training and self.get_step <= self.get_max_steps else "Not Training." if len(self.stats[]) > 0: ...
Saves training statistics to Tensorboard. :param delta_train_start: Time elapsed since training started. :param lesson_num: Current lesson number in curriculum. :param global_step: The number of steps the simulation has been going for
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def dump_service(self, sc): def lprint(fmt, data, index): ispchr = lambda x: x >= 32 and x <= 126 def print_bytes(octets): return .join([ % x for x in octets]) def print_chars(octets): return .join([chr(x) if ispchr(x) else for x ...
Read all data blocks of a given service. :meth:`dump_service` reads all data blocks from the service with service code *sc* and returns a list of strings suitable for printing. The number of strings returned does not necessarily reflect the number of data blocks because a range ...
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def get_historical_klines(symbol, interval, start_str, end_str=None): client = Client("", "") output_data = [] limit = 500 timeframe = interval_to_milliseconds(interval) start_ts = date_to_milliseconds(start_str) end_ts = None if end_str: end_t...
Get Historical Klines from Binance See dateparse docs for valid start and end string formats http://dateparser.readthedocs.io/en/latest/ If using offset strings for dates add "UTC" to date string e.g. "now UTC", "11 hours ago UTC" :param symbol: Name of symbol pair e.g BNBBTC :type symbol: str :p...
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def get_profile_info(self, raw_token, profile_info_params={}): "Fetch user profile information." try: response = self.request(, self.provider.profile_url, token=raw_token, params=profile_info_params) response.raise_for_status() except RequestException as e: lo...
Fetch user profile information.
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def add_cookie_header(self, request, referrer_host=None): new_request = convert_http_request(request, referrer_host) self._cookie_jar.add_cookie_header(new_request) request.fields.clear() for name, value in new_request.header_items(): request.fields.add(name, value...
Wrapped ``add_cookie_header``. Args: request: An instance of :class:`.http.request.Request`. referrer_host (str): An hostname or IP address of the referrer URL.
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def get_issues_in_queue(self, service_desk_id, queue_id, start=0, limit=50): url = .format(service_desk_id, queue_id) params = {} if start is not None: params[] = int(start) if limit is not None: params[] = int(limit) return self.get(url, header...
Returns a page of issues inside a queue for a given queue ID. Only fields that the queue is configured to show are returned. For example, if a queue is configured to show only Description and Due Date, then only those two fields are returned for each issue in the queue. Permissions: The...
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def check_auth(self, username, password): if username == self.args.username: from glances.password import GlancesPassword pwd = GlancesPassword() return pwd.check_password(self.args.password, pwd.sha256_hash(password)) else: return False
Check if a username/password combination is valid.
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def list_load_areas(self, session, mv_districts): lv_loads_threshold = cfg_ding0.get(, ) gw2kw = 10 ** 6 stations_list = [d.mv_grid._station.id_db for d in mv_districts] lv_load_areas_sqla = session.query( self.orm[]...
list load_areas (load areas) peak load from database for a single MV grid_district Parameters ---------- session : sqlalchemy.orm.session.Session Database session mv_districts: List of MV districts
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def json_files_serializer(objs, status=None): files = [file_serializer(obj) for obj in objs] return make_response(json.dumps(files), status)
JSON Files Serializer. :parma objs: A list of:class:`invenio_files_rest.models.ObjectVersion` instances. :param status: A HTTP Status. (Default: ``None``) :returns: A Flask response with JSON data. :rtype: :py:class:`flask.Response`.
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def _validate_schema(self, schema, field, value): if schema is None: return if isinstance(value, Sequence) and not isinstance(value, _str_type): self.__validate_schema_sequence(field, schema, value) elif isinstance(value, Mapping): self.__validate_sc...
{'type': ['dict', 'string'], 'anyof': [{'validator': 'schema'}, {'validator': 'bulk_schema'}]}
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def sun_ra_dec(utc_time): jdate = jdays2000(utc_time) / 36525.0 eps = np.deg2rad(23.0 + 26.0 / 60.0 + 21.448 / 3600.0 - (46.8150 * jdate + 0.00059 * jdate * jdate - 0.001813 * jdate * jdate * jdate) / 3600) eclon = sun_ecliptic_longitude(utc_time) x__ = np...
Right ascension and declination of the sun at *utc_time*.
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def sort(self, col: str): try: self.df = self.df.copy().sort_values(col) except Exception as e: self.err(e, "Can not sort the dataframe from column " + str(col))
Sorts the main dataframe according to the given column :param col: column name :type col: str :example: ``ds.sort("Col 1")``
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def safe_dump(d, fname, *args, **kwargs): if osp.exists(fname): os.rename(fname, fname + ) lock = fasteners.InterProcessLock(fname + ) lock.acquire() try: with open(fname, ) as f: ordered_yaml_dump(d, f, *args, **kwargs) except: raise finally: loc...
Savely dump `d` to `fname` using yaml This method creates a copy of `fname` called ``fname + '~'`` before saving `d` to `fname` using :func:`ordered_yaml_dump` Parameters ---------- d: object The object to dump fname: str The path where to dump `d` Other Parameters ---...
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def _getReader(self, filename, scoreClass): if filename.endswith() or filename.endswith(): return JSONRecordsReader(filename, scoreClass) else: raise ValueError( % filename)
Obtain a JSON record reader for DIAMOND records. @param filename: The C{str} file name holding the JSON. @param scoreClass: A class to hold and compare scores (see scores.py).
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def _sentiment(self, distance=True): sum_pos = 0 sum_neg = 0 text = self.parent entity_positions = range(self.start, self.end) non_entity_positions = set(range(len(text.words))).difference(entity_positions) if not distance: non_entity_polarities = np.array([text.words[i].polarity for ...
Calculates the sentiment of an entity as it appears in text.
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def filter_renderers(self, renderers, format): renderers = [renderer for renderer in renderers if renderer.format == format] if not renderers: raise Http404 return renderers
If there is a '.json' style format suffix, filter the renderers so that we only negotiation against those that accept that format.
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def _adaptSegment(self, segUpdate): trimSegment = False c, i, segment = segUpdate.columnIdx, segUpdate.cellIdx, segUpdate.segment activeSynapses = segUpdate.activeSynapses synToUpdate = set([syn for syn in activeSynapses if type(syn) == int]) ...
This function applies segment update information to a segment in a cell. Synapses on the active list get their permanence counts incremented by permanenceInc. All other synapses get their permanence counts decremented by permanenceDec. We also increment the positiveActivations count of the segment...
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def fit_transform(self, Z): self._validate_vocabulary() analyze = self.build_analyzer() A = Z.transform(lambda X: list(map(analyze, X)), column=).persist() X = A[:, ] if isinstance(A, DictRDD) else A self.vocabulary_ = self._init_vocab(X) ...
Learn the vocabulary dictionary and return term-document matrix. This is equivalent to fit followed by transform, but more efficiently implemented. Parameters ---------- Z : iterable or DictRDD with column 'X' An iterable of raw_documents which yields either str, un...
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def generate_description(dataset_name, local_cache_dir=None): assert (local_cache_dir!=None) readme_file = open(os.path.join(local_cache_dir,,dataset_name,), ) try: df = fetch_data(dataset_name) fnames = [col for col in df.columns if col!=] types = get_types(df.ix[...
Generates desription for a given dataset in its README.md file in a dataset local_cache_dir file. :param dataset_name: str The name of the data set to load from PMLB. :param local_cache_dir: str (required) The directory on your local machine to store the data files. If None, then th...
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def predict(self, Xnew, full_cov=False, kern=None, **kwargs): return self.predict_noiseless(Xnew, full_cov=full_cov, kern=kern)
Predict the function(s) at the new point(s) Xnew. For Student-t processes, this method is equivalent to predict_noiseless as no likelihood is included in the model.
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def _get_encoding(encoding_or_label): if hasattr(encoding_or_label, ): return encoding_or_label encoding = lookup(encoding_or_label) if encoding is None: raise LookupError( % encoding_or_label) return encoding
Accept either an encoding object or label. :param encoding: An :class:`Encoding` object or a label string. :returns: An :class:`Encoding` object. :raises: :exc:`~exceptions.LookupError` for an unknown label.
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def _piecewise(x, condlist, funclist, *args, **kw): x = asanyarray(x) n2 = len(funclist) if isscalar(condlist) or \ (isinstance(condlist, np.ndarray) and condlist.ndim == 0) or \ (x.ndim > 0 and condlist[0].ndim == 0): condlist = [condlist] condlist = [asarray(c, dty...
Fixed version of numpy.piecewise for 0-d arrays
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def uinit(self, ushape): if self.opt[] is None: return np.zeros(ushape, dtype=self.dtype) else: U0 = np.sign(self.block_sep0(self.Y)) / self.rho U1 = self.block_sep1(self.Y) - self.S return self.block_cat(U0...
Return initialiser for working variable U.
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def get_query_error(self,i): x = self._query_hpas[i] h = x[] pos = x[] prob = 0 be = BaseError() be.set_observable(h.get_target(),h.get_query()) if i != 0 and pos == 0: prev = x[] if len(prev.get_query()) == 0: be.set_unobserved_before(len(prev.get_target()),0,prev...
Just get a single error characterization based on the index :param i: list index :type i: int :returns: base-wise error :rtype: HPA group description
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def executed_without_callbacks(self): T = self.tm.trace if T: T.write(self.trace_message(, self.node)) for t in self.targets: if t.get_state() == NODE_EXECUTING: for side_effect in t.side_effects: ...
Called when the task has been successfully executed and the Taskmaster instance doesn't want to call the Node's callback methods.
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def keys(self): keys = list() for n in range(len(self)): key = self.get_value() if not key in [, None]: keys.append(key) return keys
Returns a sorted list of keys
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def filter_trends(self, pattern=): filtered_trends = {} with open(self.abspath) as fobj: for idx, line in enumerate(fobj): variable_idx = idx-self._attributes[]-1 if in line: break if pattern in line and va...
Filter available trends
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def check_output(self, cmd): ret, output = self._exec(cmd) if not ret == 0: raise CommandError(self) return output
Wrapper for subprocess.check_output.
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def setdbo(self, bond1, bond2, dboval): if self.bondtype != 2: raise FrownsError("To set double bond order, center bond must be double!") assert dboval in [DX_CHI_CIS, DX_CHI_TRANS, DX_CHI_NO_DBO], "bad dboval value" self.dbo.append(bond1, bond2, dboval)
Set the double bond orientation for bond1 and bond2 based on this bond
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def update_tab_label(self, state_m): state_identifier = self.get_state_identifier(state_m) if state_identifier not in self.tabs and state_identifier not in self.closed_tabs: return tab_info = self.tabs[state_identifier] if state_identifier in self.tabs else self.closed_tabs[...
Update all tab labels :param rafcon.state_machine.states.state.State state_m: State model who's tab label is to be updated
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def num_samples(input_filepath): validate_input_file(input_filepath) output = soxi(input_filepath, ) if output == : logger.warning("Number of samples unavailable for %s", input_filepath) return int(output)
Show number of samples (0 if unavailable). Parameters ---------- input_filepath : str Path to audio file. Returns ------- n_samples : int total number of samples in audio file. Returns 0 if empty or unavailable
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def reduce_multiline(string): string = str(string) return " ".join([item.strip() for item in string.split("\n") if item.strip()])
reduces a multiline string to a single line of text. args: string: the text to reduce
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def _register_template(cls, template_bytes): elif isinstance(o, _Child): cls.bind_template_child_full(name, True, 0) bound_widgets.add(name) cls.set_connect_func(_connect_func, cls) cls.__gtemplate_methods__ = bound_methods cls.__gtempl...
Registers the template for the widget and hooks init_template
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def sanitize_for_archive(url, headers, payload): url = re.sub(, , url) return url, headers, payload
Sanitize URL of a HTTP request by removing the token information before storing/retrieving archived items :param: url: HTTP url request :param: headers: HTTP headers request :param: payload: HTTP payload request :returns the sanitized url, plus the headers and payload
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def _scope_and_enforce_robots(self, site, parent_page, outlinks): pages = {} blocked = set() out_of_scope = set() for url in outlinks or []: url_for_scoping = urlcanon.semantic(url) url_for_crawling = urlcanon.whatwg(url) decision = site.acc...
Returns tuple ( dict of {page_id: Page} of fresh `brozzler.Page` representing in scope links accepted by robots policy, set of in scope urls (canonicalized) blocked by robots policy, set of out-of-scope urls (canonicalized)).
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def pre_fork(self, process_manager): salt.transport.mixins.auth.AESReqServerMixin.pre_fork(self, process_manager) process_manager.add_process(self.zmq_device)
Pre-fork we need to create the zmq router device :param func process_manager: An instance of salt.utils.process.ProcessManager
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def get_reduced_assignment( self, original_assignment, cluster_topology, max_partition_movements, max_leader_only_changes, max_movement_size=DEFAULT_MAX_MOVEMENT_SIZE, force_progress=False, ): new_assignment = cluster_topology.assignment ...
Reduce the assignment based on the total actions. Actions represent actual partition movements and/or changes in preferred leader. Get the difference of original and proposed assignment and take the subset of this plan for given limit. Argument(s): original_assignment: ...
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def request_token(self): logging.debug("Getting request token from %s:%d", self.server, self.port) token, secret = self._token("/oauth/requestToken") return "{}/oauth/authorize?oauth_token={}".format(self.host, token), \ token, secret
Returns url, request_token, request_secret
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def referencegenomefinder(self): referencematch = defaultdict(make_dict) referencehits = defaultdict(make_dict) referencegenomeprofile = .format(self.referenceprofilepath) with open(referencegenomeprofile) as referencefile: referencetypes =...
Finds the closest reference genome to the profile of interest
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def identical_dataset_and_algorithm_tuner(self, additional_parents=None): return self._create_warm_start_tuner(additional_parents=additional_parents, warm_start_type=WarmStartTypes.IDENTICAL_DATA_AND_ALGORITHM)
Creates a new ``HyperparameterTuner`` by copying the request fields from the provided parent to the new instance of ``HyperparameterTuner``. Followed by addition of warm start configuration with the type as "IdenticalDataAndAlgorithm" and parents as the union of provided list of ``additional_parents`` a...
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def sens_mppt_send(self, mppt_timestamp, mppt1_volt, mppt1_amp, mppt1_pwm, mppt1_status, mppt2_volt, mppt2_amp, mppt2_pwm, mppt2_status, mppt3_volt, mppt3_amp, mppt3_pwm, mppt3_status, force_mavlink1=False): return self.send(self.sens_mppt_encode(mppt_timestamp, mppt1_volt, mppt1_amp, m...
Maximum Power Point Tracker (MPPT) sensor data for solar module power performance tracking mppt_timestamp : MPPT last timestamp (uint64_t) mppt1_volt : MPPT1 voltage (float) mppt1_amp : MPPT1 current (float) ...
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def get_ngrams(inputfile, n=1, use_transcript=False, use_vtt=False): words = [] if use_transcript: for s in audiogrep.convert_timestamps(inputfile): for w in s[]: words.append(w[0]) elif use_vtt: vtts = get_vtt_files(inputfile) for vtt in vtts: ...
Get ngrams from a text Sourced from: https://gist.github.com/dannguyen/93c2c43f4e65328b85af
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def get_compositions_by_repository(self, repository_id): mgr = self._get_provider_manager(, local=True) lookup_session = mgr.get_composition_lookup_session_for_repository(repository_id, proxy=self._proxy) lookup_session.use_isolated_repository_view() return loo...
Gets the list of ``Compositions`` associated with a ``Repository``. arg: repository_id (osid.id.Id): ``Id`` of the ``Repository`` return: (osid.repository.CompositionList) - list of related compositions raise: NotFound - ``repository_id`` is not found raise: NullArg...
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def make_tarfile(output_filename, source_dir): with tarfile.open(output_filename, "w:gz") as tar: tar.add(source_dir, arcname=os.path.basename(source_dir))
Tar a directory
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def status_favourite(self, id): id = self.__unpack_id(id) url = .format(str(id)) return self.__api_request(, url)
Favourite a status. Returns a `toot dict`_ with the favourited status.
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def _open_ftp(self): _ftp = FTP() _ftp.set_debuglevel(0) with ftp_errors(self): _ftp.connect(self.host, self.port, self.timeout) _ftp.login(self.user, self.passwd, self.acct) self._features = {} try: feat_response ...
Open a new ftp object.
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def process(source, target, rdfsonly, base=None, logger=logging): for link in source.match(): s, p, o = link[:3] if s == (base or ) + : continue if p in RESOURCE_MAPPING: p = RESOURCE_MAPPING[p] if o in RESOURCE_MAPPING: o = RESOURCE_MAPPING[o] if p == VERSA_BAS...
Prepare a statement into a triple ready for rdflib graph
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def mutate(self, row): mutation_count = len(row._get_mutations()) if mutation_count > MAX_MUTATIONS: raise MaxMutationsError( "The row key {} exceeds the number of mutations {}.".format( row.row_key, mutation_count ) ) ...
Add a row to the batch. If the current batch meets one of the size limits, the batch is sent synchronously. For example: .. literalinclude:: snippets.py :start-after: [START bigtable_batcher_mutate] :end-before: [END bigtable_batcher_mutate] :type row: class ...
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def query(self, coords, **kwargs): return super(Lenz2017Query, self).query(coords, **kwargs)
Returns E(B-V), in mags, at the specified location(s) on the sky. Args: coords (:obj:`astropy.coordinates.SkyCoord`): The coordinates to query. Returns: A float array of the reddening, in magnitudes of E(B-V), at the selected coordinates.
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def write_config_file(self, parsed_namespace, output_file_paths, exit_after=False): for output_file_path in output_file_paths: try: with open(output_file_path, "w") as output_file: pass except IOError as e: raise V...
Write the given settings to output files. Args: parsed_namespace: namespace object created within parse_known_args() output_file_paths: any number of file paths to write the config to exit_after: whether to exit the program after writing the config files
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def find_threads_by_name(self, name, bExactMatch = True): found_threads = list() if name is None: for aThread in self.iter_threads(): if aThread.get_name() is None: found_threads.append(aThread) elif bExactMatch: ...
Find threads by name, using different search methods. @type name: str, None @param name: Name to look for. Use C{None} to find nameless threads. @type bExactMatch: bool @param bExactMatch: C{True} if the name must be B{exactly} as given, C{False} if the name can be ...
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def main(self, c): conj = self.conjugate.main(c) mult = self.complex_mult.main(c, conj) angle = self.angle.main(mult) self.y = self.GAIN_SFIX * angle return self.y
:type c: Complex :rtype: Sfix
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def get_object(self): obj = super(PublishActionView, self).get_object() if obj: if not hasattr(obj, ): raise http.Http404 return obj
Get the object for publishing Raises a http404 error if the object is not found.
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def pset_field(item_type, optional=False, initial=()): return _sequence_field(CheckedPSet, item_type, optional, initial)
Create checked ``PSet`` field. :param item_type: The required type for the items in the set. :param optional: If true, ``None`` can be used as a value for this field. :param initial: Initial value to pass to factory if no value is given for the field. :return: A ``field`` containing a ...
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def redirect_to(): args_dict = request.args.items() args = CaseInsensitiveDict(args_dict) response = app.make_response("") response.status_code = 302 if "status_code" in args: status_code = int(args["status_code"]) if status_code >= 300 and status_code < 400: ...
302/3XX Redirects to the given URL. --- tags: - Redirects produces: - text/html get: parameters: - in: query name: url type: string required: true - in: query name: status_code type: int post: consumes: ...
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def inspect_built_image(self): logger.info("inspecting built image ", self.image_id) self.ensure_is_built() inspect_data = self.tasker.inspect_image(self.image_id) return inspect_data
inspect built image :return: dict
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def get(self): self.lock.acquire() try: c = self.conn.popleft() yield c except self.exc_classes: gevent.spawn_later(1, self._addOne) raise except: self.conn.append(c) self.lock.release() ...
Get a connection from the pool, to make and receive traffic. If the connection fails for any reason (socket.error), it is dropped and a new one is scheduled. Please use @retry as a way to automatically retry whatever operation you were performing.
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def task(self, task_name): return Task(uri=.join((self._engine_name, task_name)), cwd=self._cwd)
Returns an ENVI Py Engine Task object. See ENVI Py Engine Task for examples. :param task_name: The name of the task to retrieve. :return: An ENVI Py Engine Task object.
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def apply(self, func, *args, **kwargs): self._prep_pandas_groupby() def key_by_index(data): for key, row in data.iterrows(): yield (key, pd.DataFrame.from_dict( dict([(key, row)]), orient=)) myargs = self._myarg...
Apply the provided function and combine the results together in the same way as apply from groupby in pandas. This returns a DataFrame.
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def __bindings(self): self.textctrl.Bind(wx.EVT_TEXT, self.OnText) self.fontbutton.Bind(wx.EVT_BUTTON, self.OnFont) self.Bind(csel.EVT_COLOURSELECT, self.OnColor)
Binds events to handlers
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def get_grouped_translations(instances, **kwargs): grouped_translations = collections.defaultdict(list) if not instances: return grouped_translations if not isinstance(instances, collections.Iterable): instances = [instances] if isinstance(instances, QuerySet): model = in...
Takes instances and returns grouped translations ready to be set in cache.
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def _scan_for_tokens(contents): scanner = re.Scanner([ (r"(?<![^\s\(])([\"\]([^\])*$", lambda s, t: (TokenType.BeginSingleQuotedLiteral, t)), (r"[^\s]*(?<!\\)[\'](?![^\s\)])", lambda s, t: (TokenType.EndSingleQuotedLiteral, t)), (r"...
Scan a string for tokens and return immediate form tokens.