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def dropout_pred(model, ref, ref_rc, alt, alt_rc, mutation_positions, out_annotation_all_outputs, output_filter_mask=None, out_annotation=None, dropout_iterations=30): prefix = "do" seqs = {"ref": ref, "ref_rc": ref_rc, "alt": alt, "alt_rc": alt_rc} assert np.all([np.array(get_seq_le...
Dropout-based variant effect prediction This method is based on the ideas in [Gal et al.](https://arxiv.org/pdf/1506.02142.pdf) where dropout layers are also actived in the model prediction phase in order to estimate model uncertainty. The advantage of this method is that instead of a point est...
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def write(self, address, size, value): for i in range(0, size): self.__write_byte(address + i, (value >> (i * 8)) & 0xff)
Write arbitrary size content to memory.
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def compute_lsrk(self): ra = Angle(self.header[b], unit=) dec = Angle(self.header[b], unit=) mjdd = self.header[b] rarad = ra.to().value dcrad = dec.to().value last = self.compute_lst() tellat = np.deg2rad(self.coords[0]) tellong = np.deg2rad(sel...
Computes the LSR in km/s uses the MJD, RA and DEC of observation to compute along with the telescope location. Requires pyslalib
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def latents_to_frames(z_top_interp, level_eps_interp, hparams): images, _, _, _ = glow_ops.encoder_decoder( "codec", z_top_interp, hparams, eps=level_eps_interp, reverse=True) images = glow_ops.postprocess(images) return images
Decodes latents to frames.
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def service_search(auth=None, **kwargs): *** cloud = get_operator_cloud(auth) kwargs = _clean_kwargs(**kwargs) return cloud.search_services(**kwargs)
Search services CLI Example: .. code-block:: bash salt '*' keystoneng.service_search salt '*' keystoneng.service_search name=glance salt '*' keystoneng.service_search name=135f0403f8e544dc9008c6739ecda860
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def render_trace( self, trace_list=None, file=sys.stdout, render_cls=default_renderer(), symbol_len=5, segment_size=5, segment_delim=, extra_line=True): if _currently_in_ipython(): from IPython.display import display, HTML, Javascript from .inputoutput...
Render the trace to a file using unicode and ASCII escape sequences. :param trace_list: A list of signals to be output in the specified order. :param file: The place to write output, default to stdout. :param render_cls: A class that translates traces into output bytes. :param symbol_le...
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def make_factory(klass, **kwargs): factory_name = % klass.__name__ class Meta: model = klass kwargs[] = Meta base_class = kwargs.pop(, base.Factory) factory_class = type(base.Factory).__new__(type(base.Factory), factory_name, (base_class,), kwargs) factory_class.__name__ = % kl...
Create a new, simple factory for the given class.
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def read_file_chunks( file_path: str, chunk_size: int = DEFAULT_CHUNK_SIZE ) -> bytes: chunk_count = get_file_chunk_count(file_path, chunk_size) if chunk_count < 1: return with open(file_path, mode=) as fp: for chunk_index in range(chunk_count): source = f...
Reads the specified file in chunks and returns a generator where each returned chunk is a compressed base64 encoded string for sync transmission :param file_path: The path to the file to read in chunks :param chunk_size: The size, in bytes, of each chunk. The final chunk will be less th...
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def parse_footnotes(document, xmlcontent): footnotes = etree.fromstring(xmlcontent) document.footnotes = {} for footnote in footnotes.xpath(, namespaces=NAMESPACES): _type = footnote.attrib.get(_name(), None)
Parse footnotes document. Footnotes are defined in file 'footnotes.xml'
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def add_value( self, secret_resource_name, secret_value_resource_name, name, value=None, custom_headers=None, raw=False, **operation_config): secret_value_resource_description = models.SecretValueResourceDescription(name=name, value=value) url = self.add_value.metadata[] ...
Adds the specified value as a new version of the specified secret resource. Creates a new value of the specified secret resource. The name of the value is typically the version identifier. Once created the value cannot be changed. :param secret_resource_name: The name of the se...
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def search(self, query, verbose=0): if verbose > 0: print("searching " + query) query = query.lower() qgram = ng(query, self.slb) qocument = set() for q in qgram: if q in self.ngrams.keys(): for i in self.ngrams[q]: ...
Searches files satisfying query It first decompose the query in ngrams, then score each document containing at least one ngram with the number. The ten document having the most ngrams in common with the query are selected. Args: query (str): what to search; ...
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def parse_document_id(chrom, pos, ref, alt, variant_type, case_id): return generate_md5_key([chrom, pos, ref, alt, variant_type, case_id])
Parse the unique document id for a variant. This will always be unique in the database. Args: chrom(str) pos(str) ref(str) alt(str) variant_type(str): 'clinical' or 'research' case_id(str): unqiue family id Returns: document_id(str): The unique docu...
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def filter(self, msg_type=None, maxsize=0): if self._dead: return iter(()) iterator = Handler._SBPQueueIterator(maxsize) ref = weakref.ref(iterator) self._sinks.append(ref) def feediter(msg, **metadata): i = ref() if...
Get a filtered iterator of messages for synchronous, blocking use in another thread.
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def task_requires(*dependencies): def entangle(task): "Decorator wrapper." if not isinstance(task, tasks.Task): task = tasks.Task(task) def tool_task(*args, **kw): "Install requirements, then call original task." install_tools(dependencies) ...
A task decorator that ensures a distutils dependency (or a list thereof) is met before that task is executed.
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def peek_all(self, model_class): if self._cache: return self._cache.get_records(model_class.__name__) else: return []
Return a list of models from the local cache. Args: model_class (:class:`cinder_data.model.CinderModel`): A subclass of :class:`cinder_data.model.CinderModel` of your chosen model. Returns: list: A list of instances of you model_class or and empty list.
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def logCellActivity_varyNumColumns(noiseSigma, noiseEverywhere): noiseLevels = [0.30, 0.40, 0.45, 0.50, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90] l2Overrides = {"sampleSizeDistal": 20} columnCounts = [1, 2, 3, 4, 5] results = defaultdict(list) for trial in xrange(1): print "trial", trial ob...
Run the experiment, varying the column counts, and save each [# correctly active cells, # incorrectly active cells] pair to a JSON file that can be visualized.
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def vspec_magic(data): vdata, Dirdata, step_meth = [], [], "" if len(data) == 0: return vdata treat_init = ["treatment_temp", "treatment_temp_decay_rate", "treatment_temp_dc_on", "treatment_temp_dc_off", "treatment_ac_field", "treatment_ac_field_decay_rate", "treatment_ac_field_dc_on", ...
Takes average vector of replicate measurements
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def __vCmdSetCamExposureMode(self, args): if len(args) == 1: for cam in self.camera_list: cam.boSetExposureMode(args[0]) elif len(args) == 2: cam = self.camera_list[int(args[1])] cam.boSetExposureMode(args[0]) else: print (...
ToDo: Validate CAM number and Valid Mode Values
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def sync_map_permissions(self): if self._sync_map_permissions is None: self._sync_map_permissions = SyncMapPermissionList( self._version, service_sid=self._solution[], map_sid=self._solution[], ) return self._sync_map_permi...
Access the sync_map_permissions :returns: twilio.rest.sync.v1.service.sync_map.sync_map_permission.SyncMapPermissionList :rtype: twilio.rest.sync.v1.service.sync_map.sync_map_permission.SyncMapPermissionList
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def _join_names(names): levels = (str(name) for name in names if name != ) return .join(levels)
Join the names of a multi-level index with an underscore.
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async def fetch_ban(self, user): data = await self._state.http.get_ban(user.id, self.id) return BanEntry( user=User(state=self._state, data=data[]), reason=data[] )
|coro| Retrieves the :class:`BanEntry` for a user, which is a namedtuple with a ``user`` and ``reason`` field. See :meth:`bans` for more information. You must have the :attr:`~Permissions.ban_members` permission to get this information. Parameters ----------- ...
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def get_last_config_update_time_for_xpaths_input_xpath_strings_xpath_string(self, **kwargs): config = ET.Element("config") get_last_config_update_time_for_xpaths = ET.Element("get_last_config_update_time_for_xpaths") config = get_last_config_update_time_for_xpaths input = ET.Sub...
Auto Generated Code
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def emit(self, event: str, *args, **kwargs) -> None: threads = kwargs.pop(, None) if threads: events = [ Thread(target=f, args=args, kwargs=kwargs) for f in self._event_funcs(event) ] for event in events: eve...
Emit an event and run the subscribed functions. :param event: Name of the event. :type event: str .. notes: Passing in threads=True as a kwarg allows to run emitted events as separate threads. This can significantly speed up code execution depending on the c...
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def _get_ratings_page(self): self._build_url() soup = get_soup(self.url) if soup: return soup self._build_url(shorten=False) soup = get_soup(self.url) if soup: return soup return SearchDaily(self.catego...
Do a limited search for the correct url.
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def make_table(self,fromlines,tolines,fromdesc=,todesc=,context=False, numlines=5): self._make_prefix() fromlines,tolines = self._tab_newline_replace(fromlines,tolines) if context: context_lines = numlines ...
Returns HTML table of side by side comparison with change highlights Arguments: fromlines -- list of "from" lines tolines -- list of "to" lines fromdesc -- "from" file column header string todesc -- "to" file column header string context -- set to True for contextual dif...
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def reciprocal_lattice(self) -> "Lattice": v = np.linalg.inv(self._matrix).T return Lattice(v * 2 * np.pi)
Return the reciprocal lattice. Note that this is the standard reciprocal lattice used for solid state physics with a factor of 2 * pi. If you are looking for the crystallographic reciprocal lattice, use the reciprocal_lattice_crystallographic property. The property is lazily generated fo...
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def config_profile_list(self): these_profiles = self._config_profile_list() or [] profile_list = [q for p in these_profiles for q in [p.get()]] return profile_list
Return config profile list from DCNM.
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def _dictToAlignments(self, diamondDict, read): alignments = [] getScore = itemgetter( if self._hspClass is HSP else ) for diamondAlignment in diamondDict[]: alignment = Alignment(diamondAlignment[], diamondAlignment[]) alignmen...
Take a dict (made by DiamondTabularFormatReader.records) and convert it to a list of alignments. @param diamondDict: A C{dict}, from records(). @param read: A C{Read} instance, containing the read that DIAMOND used to create this record. @return: A C{list} of L{dark.alignmen...
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def slice_columns(x, using=None): if using is None: using = range(0, len(x[0])) return [x[:,s] for s in using]
Slice a numpy array to make columns Parameters ---------- x : ndarray A numpy array instance using : list of integer or slice instance or None, optional A list of index or slice instance Returns ------- ndarray A list of numpy array columns sliced
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def set_file_chksum(self, doc, chk_sum): if self.has_package(doc) and self.has_file(doc): if not self.file_chksum_set: self.file_chksum_set = True self.file(doc).chk_sum = checksum.Algorithm(, chk_sum) return True else: ...
Sets the file check sum, if not already set. chk_sum - A string Raises CardinalityError if already defined. Raises OrderError if no package previously defined.
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def fit(self,vxvv,vxvv_err=None,pot=None,radec=False,lb=False, customsky=False,lb_to_customsky=None,pmllpmbb_to_customsky=None, tintJ=10,ntintJ=1000,integrate_method=, disp=False, **kwargs): if pot is None: try: pot= self._pot ...
NAME: fit PURPOSE: fit an Orbit to data using the current orbit as the initial condition INPUT: vxvv - [:,6] array of positions and velocities along the orbit [cannot be Quantities] vxvv_err= [:,6] array of errors on positions and velocities along ...
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def report_message_type(self, msg): desc = get_message_description(self.linter, msg.msg_id) self.tc.message(, id=msg.msg_id, name=msg.symbol, description=desc, category=msg.category)
Issues an `inspectionType` service message to define generic properties of a given PyLint message type. :param utils.Message msg: a PyLint message
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def create(cls, name, database=SYSTEM_DATABASE, type=2): client = Client.instance() api = client.api if client.database != database: database = client.database collection_data = { : name, : type, } data = api.collection.pos...
Creates collection :param name Collection name :param database Database name in which it is created :param type Collection type (2 = document / 3 = edge) :returns Collection
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def indexes(self, collection=None): indexes = [] for collection_name in self.collections(): if collection and collection != collection_name: continue for index_name in self.db[collection_name].index_information(): if index_name !...
Return a list with the current indexes Skip the mandatory _id_ indexes Args: collection(str) Returns: indexes(list)
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def get_template(template_name, data_dir=None, url=None, resume=True, verbose=1): warn(DEPRECATION_MSG) if template_name.startswith(): template_name = template_name[4:] template_name = TEMPLATE_ALIASES.get(template_name, template_name) return get_dataset(template_name, dataset_prefix=...
Download and load a template
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def _process_organism_dbxref(self, limit): if self.test_mode: graph = self.testgraph else: graph = self.graph model = Model(graph) line_counter = 0 raw = .join((self.rawdir, )) LOG.info("processing organsim dbxref mappings") with o...
This is the mapping between the flybase organisms and external identifier "FBsp". We will want to use the NCBITaxon as the primary, if possible, but will default to a blank node/internal id if that is all that is available But we need to make the equivalences/sameAs. :param limi...
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def start_parent(): while True: args = [sys.executable] + sys.argv new_environ = environ.copy() new_environ["_IN_CHILD"] = ret = subprocess.call(args, env=new_environ) if ret != settings.CODE_RELOAD_EXIT: return ret
Start the parent that will simply run the child forever until stopped.
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def _process_net_mhcii(mhc_file, normal=False): results = pandas.DataFrame(columns=[, , , , ]) with open(mhc_file, ) as mf: peptides = set() allele = re.sub(, , mf.readline().strip()) _ = mf.readline() for line in mf: line = line.strip().split() ...
Process the results from running NetMHCIIpan binding predictions into a pandas dataframe. :param str mhc_file: Output file containing netmhciipan mhcii:peptide binding predictions :param bool normal: Is this processing the results of a normal? :return: Results in a tabular format :rtype: pandas.DataFra...
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def from_base64_data(cls, **kwargs): o = cls() meta = cls._meta pkname = meta.pkname() for name, value in iteritems(kwargs): if name == pkname: field = meta.pk elif name in meta.dfields: field = meta.dfields[name] ...
Load a :class:`StdModel` from possibly base64encoded data. This method is used to load models from data obtained from the :meth:`tojson` method.
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def Initialize(config=None, external_hostname = None, admin_password = None, redownload_templates = False, repack_templates = True, token = None): print("Checking write access on config %s" % config["Config.writeback"]) if not os.access(...
Initialize or update a GRR configuration.
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def ctrl_alt_del(vm_, **kwargs): * conn = __get_conn(**kwargs) dom = _get_domain(conn, vm_) ret = dom.sendKey(0, 0, [29, 56, 111], 3, 0) == 0 conn.close() return ret
Sends CTRL+ALT+DEL to a VM :param vm_: domain name :param connection: libvirt connection URI, overriding defaults .. versionadded:: 2019.2.0 :param username: username to connect with, overriding defaults .. versionadded:: 2019.2.0 :param password: password to connect with, overriding ...
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def daemonize(**params): log = params.get() redir = params.get(, True) try: if os.fork() != 0: os._exit(0) except Exception as e: if log: log("First fork failed -- %s", e) return False try: os.setsid() except Exception as e: if log: log("...
This is a simple daemonization method. It just does a double fork() and the parent exits after closing a good clump of possibly open file descriptors. The child redirects stdin from /dev/null and sets a new process group and session. If you need fancier, suggest you look at http://pypi.python.org/pypi/python-daemon/ ...
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def on_command(name: Union[str, CommandName_T], *, aliases: Iterable[str] = (), permission: int = perm.EVERYBODY, only_to_me: bool = True, privileged: bool = False, shell_like: bool = False) -> Callable: def deco(func: CommandHandler_T...
Decorator to register a function as a command. :param name: command name (e.g. 'echo' or ('random', 'number')) :param aliases: aliases of command name, for convenient access :param permission: permission required by the command :param only_to_me: only handle messages to me :param privileged: can be...
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def _rev(repo): try: repo_info = dict(six.iteritems(CLIENT.info(repo[]))) except (pysvn._pysvn.ClientError, TypeError, KeyError, AttributeError) as exc: log.error( , repo[], repo[], exc ) else: return repo_info[].number ...
Returns revision ID of repo
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def install_completion(ctx, attr, value): import click_completion.core if not value or ctx.resilient_parsing: return value shell, path = click_completion.core.install() click.secho( .format(shell, path), fg= ) ctx.exit()
Install completion for the current shell.
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def list_deployments(self): response = self._do_request(, ) return self._parse_response(response, MarathonDeployment, is_list=True)
List all running deployments. :returns: list of deployments :rtype: list[:class:`marathon.models.deployment.MarathonDeployment`]
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def determine_collections(self): for value in record_get_field_values(self.record, , code=): if in value.upper(): self.collections.add() if in value.upper(): self.collections.add() if in value.upper(): self.collectio...
Try to determine which collections this record should belong to.
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def aliases(context, build, symbol): LOG.info("Running scout view aliases") adapter = context.obj[] if symbol: alias_genes = {} res = adapter.gene_by_alias(symbol, build=build) for gene_obj in res: hgnc_id = gene_obj[] hgnc_symbol = gene...
Show all alias symbols and how they map to ids
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def _outer_to_vectorized_indexer(key, shape): key = key.tuple n_dim = len([k for k in key if not isinstance(k, integer_types)]) i_dim = 0 new_key = [] for k, size in zip(key, shape): if isinstance(k, integer_types): new_key.append(np.array(k).reshape((1,) * n_dim)) ...
Convert an OuterIndexer into an vectorized indexer. Parameters ---------- key : Outer/Basic Indexer An indexer to convert. shape : tuple Shape of the array subject to the indexing. Returns ------- VectorizedIndexer Tuple suitable for use to index a NumPy array with ...
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def BCC(self, params): label = self.get_one_parameter(self.ONE_PARAMETER, params) self.check_arguments(label_exists=(label,)) def BCC_func(): if not self.is_C_set(): self.register[] = self.labels[label] return BCC_func
BCC label Branch to the instruction at label if the C flag is not set
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def pandas(self): names,prior,posterior = [],[],[] for iname,name in enumerate(self.posterior_parameter.row_names): names.append(name) posterior.append(np.sqrt(float( self.posterior_parameter[iname, iname]. x))) iprior = self.parcov.row_names....
get a pandas dataframe of prior and posterior for all predictions Returns: pandas.DataFrame : pandas.DataFrame a dataframe with prior and posterior uncertainty estimates for all forecasts (predictions)
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def rownumber(self): if self._frame is not None and self._pos is not None: return self._frame.offset + self._pos return self._pos
Read-only attribute providing the current 0-based index of the cursor in the result set or ``None`` if the index cannot be determined. The index can be seen as index of the cursor in a sequence (the result set). The next fetch operation will fetch the row indexed by :attr:`rownu...
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def list_pool(self, auth, spec=None): if spec is None: spec = {} self._logger.debug("list_pool called; spec: %s" % unicode(spec)) sql = params = list() where, params = self._expand_pool_spec(spec) if len(where) > 0: sql += " ...
Return a list of pools. * `auth` [BaseAuth] AAA options. * `spec` [pool_spec] Specifies what pool(s) to list. Of omitted, all will be listed. Returns a list of dicts. This is the documentation of the internal backend function. It's ...
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def get_data(self): data = [] ntobj = cx.namedtuple("NtGoCnt", "Depth_Level BP_D MF_D CC_D BP_L MF_L CC_L") cnts = self.get_cnts_levels_depths_recs(set(self.obo.values())) max_val = max(max(dep for dep in cnts[]), max(lev for lev in cnts[])) for i in ra...
Collect counts of GO terms at all levels and depths.
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def check_configuration_string( self, config_string, is_job=True, external_name=False ): if is_job: self.log(u"Checking job configuration string") else: self.log(u"Checking task configuration string") self.resul...
Check whether the given job or task configuration string is well-formed (if ``is_bstring`` is ``True``) and it has all the required parameters. :param string config_string: the byte string or Unicode string to be checked :param bool is_job: if ``True``, ``config_string`` is a job config...
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def list_ebs(region, filter_by_kwargs): conn = boto.ec2.connect_to_region(region) instances = conn.get_all_volumes() return lookup(instances, filter_by=filter_by_kwargs)
List running ebs volumes.
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def _convert_schema(bundle): schema_csv = None for f in bundle.dataset.files: if f.path.endswith(): contents = f.unpacked_contents if isinstance(contents, six.binary_type): contents = contents.decode() schema_csv = six.StringIO(contents) ...
Converts schema of the dataset to resource dict ready to save to CKAN.
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def moveToNextRow(vs, func, reverse=False): rng = range(vs.cursorRowIndex-1, -1, -1) if reverse else range(vs.cursorRowIndex+1, vs.nRows) for i in rng: try: if func(vs.rows[i]): vs.cursorRowIndex = i return True except Exception: pass...
Move cursor to next (prev if reverse) row for which func returns True. Returns False if no row meets the criteria.
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async def xgroup_set_id(self, name: str, group: str, stream_id: str) -> bool: return await self.execute_command(, name, group, stream_id)
[NOTICE] Not officially released yet :param name: name of the stream :param group: name of the consumer group :param stream_id: If we provide $ as we did, then only new messages arriving in the stream from now on will be provided to the consumers in the group. ...
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def voucher_code(request): VOUCHERS_FORM_PREFIX = "vouchers" v = _handle_voucher(request, VOUCHERS_FORM_PREFIX) voucher_form, voucher_handled = v if voucher_handled: messages.success(request, "Your voucher code was accepted.") return redirect("dashboard") data = { ...
A view *just* for entering a voucher form.
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def buses_of_vlvl(network, voltage_level): mask = network.buses.v_nom.isin(voltage_level) df = network.buses[mask] return df.index
Get bus-ids of given voltage level(s). Parameters ---------- network : :class:`pypsa.Network Overall container of PyPSA voltage_level: list Returns ------- list List containing bus-ids.
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def create_packages_archive(packages, filename): import tarfile tar = tarfile.open(filename, "w") def add(src, dst): logger.debug(, src, dst) tar.add(src, dst) def add_files_for_package(sub_package_path, root_package_path, root_package_name): for root, dirs, files in os.wa...
Create a tar archive which will contain the files for the packages listed in packages.
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def dfs(self, node, bucket=None, order="append"): if self[node].discovered: return bucket self[node].discovered = True nodes_ = sorted(self[node].iternodes(), cmp=self.cmp_branch) for node_ in nodes_: self.dfs(node_, bucket, order) getattr(bucket,...
Recursive depth first search. By default ("order" = ``"append"``) this returns the **node objects** in the reverse postorder. To change this into the preorder use a ``collections.deque`` as "bucket" and ``"appendleft"`` as "order". Arguments: - bucket(``list`` ...
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def morphAveragePitch(fromDataList, toDataList): timeList, fromPitchList = zip(*fromDataList) toPitchList = [pitchVal for _, pitchVal in toDataList] fromListNoZeroes = [val for val in fromPitchList if val > 0] fromAverage = sum(fromListNoZeroes) / float(len(fromListNoZeroes)) ...
Adjusts the values in fromPitchList to have the same average as toPitchList Because other manipulations can alter the average pitch, morphing the pitch is the last pitch manipulation that should be done After the morphing, the code removes any values below zero, thus the final average might no...
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def filter_wait_on_queues(max_waiting): def filter_func(log_line): waiting = int(max_waiting) return waiting >= log_line.time_wait_queues return filter_func
Filter :class:`.Line` objects by their queueing time in HAProxy. :param max_waiting: maximum time, in milliseconds, a request is waiting on HAProxy prior to be delivered to a backend server. If HAProxy takes less than that time the log line is counted. :type max_waiting: string :returns: a ...
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def get_transition(self, line, line_index, column, is_escaped, comment_system_transitions, eof=False): del comment_system_transitions if (_token_at_col_in...
Get transition from InCommentParser.
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def acorr_lpc(x, axis=-1): if not np.isrealobj(x): raise ValueError("Complex input not supported yet") maxlag = x.shape[axis] nfft = int(2 ** nextpow2(2 * maxlag - 1)) if axis != -1: x = np.swapaxes(x, -1, axis) a = _acorr_last_axis(x, nfft, maxlag) if axis != -1: ...
Compute autocorrelation of x along the given axis. This compute the biased autocorrelation estimator (divided by the size of input signal) Notes ----- The reason why we do not use acorr directly is for speed issue.
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def plot_rebit_posterior(updater, prior=None, true_state=None, n_std=3, rebit_axes=REBIT_AXES, true_size=250, legend=True, level=0.95, region_est_method= ): pallette = plt.rcParams[] plot_rebit_modelparams(updater.particle_locations, c=pallette[0], l...
Plots posterior distributions over rebits, including covariance ellipsoids :param qinfer.smc.SMCUpdater updater: Posterior distribution over rebits. :param qinfer.tomography.DensityOperatorDistribution: Prior distribution over rebit states. :param np.ndarray true_state: Model parameters for "true" ...
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def getUser(self): username = self.getUsername() if not username: return None user = api.user.get(userid=username) return user
Returns the linked Plone User or None
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def postprocess_WC(self, entry): if type(entry.WC) not in [str, unicode]: WC= u.join([unicode(k) for k in entry.WC]) else: WC= entry.WC entry.WC= [k.strip().upper() for k in WC.split()]
Parse WC keywords. Subject keywords are usually semicolon-delimited.
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def symbol_size(self, scale=1, border=None): return utils.get_symbol_size(self._version, scale=scale, border=border)
\ Returns the symbol size (width x height) with the provided border and scaling factor. :param scale: Indicates the size of a single module (default: 1). The size of a module depends on the used output format; i.e. in a PNG context, a scaling factor of 2 indicate...
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async def sdiff(self, keys, *args): "Return the difference of sets specified by ``keys``" args = list_or_args(keys, args) return await self.execute_command(, *args)
Return the difference of sets specified by ``keys``
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def items(self): return [(value_descriptor.name, value_descriptor.number) for value_descriptor in self._enum_type.values]
Return a list of the (name, value) pairs of the enum. These are returned in the order they were defined in the .proto file.
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def _tls_hmac_add(self, hdr, msg): write_seq_num = struct.pack("!Q", self.tls_session.wcs.seq_num) self.tls_session.wcs.seq_num += 1 alg = self.tls_session.wcs.hmac version = struct.unpack("!H", hdr[1:3])[0] if version > 0x300: h = alg.digest(write_seq_num +...
Provided with the record header (concatenation of the TLSCompressed type, version and length fields) and the TLSCompressed.fragment, return the concatenation of the TLSCompressed.fragment and the HMAC. Meant to be used with a block cipher or a stream cipher. It would fail with an AEAD c...
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def calc_derivation(passphrase, salt): argonhash = argon2.low_level.hash_secret_raw((str.encode(passphrase)), salt=salt, hash_len=32, time_cost=__argon2_timing_cost__, memory_cost=__argon2_memory_cost__, paralleli...
Calculate a 32 bytes key derivation with Argon2. :param passphrase: A string of any length specified by user. :param salt: 512 bits generated by Botan Random Number Generator. :return: a 32 bytes keys.
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def is_directory_index(resource): remote_regexp = re.compile(r"^https?://(.+)/?$", re.I) result = remote_regexp.match(resource) if result is not None: juicer.utils.Log.log_debug("%s matches directory index regexp" % resource) return True else: juicer.utils.Log.log_debug("%s...
Classify the input resource as a directory index or not.
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def receive(self, length): slipDriver = sliplib.Driver() ret = self._serialPort.read(length) temp = slipDriver.receive(ret) return iter(temp)
Reads in data from a serial port (length bytes), decodes SLIP packets A function which reads from the serial port and then uses the SlipLib module to decode the SLIP protocol packets. Each message received is added to a receive buffer in SlipLib which is then returned. Args: ...
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def get_valid_fns(self) -> Tuple[List[str], List[str]]: return self.prefixes_to_fns(self.valid_prefixes)
Fetches the validation set of the corpus.
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def _span_dimensions(self, other_tc): def raise_on_inverted_L(a, b): if a.top == b.top and a.bottom != b.bottom: raise InvalidSpanError() if a.left == b.left and a.right != b.right: raise InvalidSpanError() def raise_on_tee_shaped(a, b): ...
Return a (top, left, height, width) 4-tuple specifying the extents of the merged cell formed by using this tc and *other_tc* as opposite corner extents.
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def make_attribute_list(self, node): atr_nodes = [] for n in self.get_specific_subnodes(node, , recursive=2): if n.attributes[].value == and n.attributes[].value == : atr_nodes.append(n) if not atr_nodes: return self.add_text([, , ...
Produces the "Attributes" section in class docstrings for public member variables (attributes).
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def strace_data_access_event(self, operation, address, data, data_mask=None, access_width=4, address_range=0): ...
Sets an event to trigger trace logic when data access is made. Data access corresponds to either a read or write. Args: self (JLink): the ``JLink`` instance. operation (int): one of the operations in ``JLinkStraceOperation``. address (int): the address of the load/store d...
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def _expand_pattern_lists(pattern, **mappings): expanded_patterns = [] f = string.Formatter() for (_, field_name, _, _) in f.parse(pattern): if field_name is None: continue (value, _) = f.get_field(field_name, None, mappings) if isinstance(value, list): ...
Expands the pattern for any list-valued mappings, such that for any list of length N in the mappings present in the pattern, N copies of the pattern are returned, each with an element of the list substituted. pattern: A pattern to expand, for example ``by-role/{grains[roles]}`` mappings: ...
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def is_prettytable(string): return type(string).__name__ in {,} and ( len(string.splitlines()) > 1 ) and ( all(string[i] == string[-i-1] for i in range(3)) )
returns true if the input looks like a prettytable
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def register_lists(self, category_lists, lists_init_kwargs=None, editor_init_kwargs=None): lists_init_kwargs = lists_init_kwargs or {} editor_init_kwargs = editor_init_kwargs or {} for lst in category_lists: if isinstance(lst, string_types): lst = self.lis...
Registers CategoryList objects to handle their requests. :param list category_lists: CategoryList objects :param dict lists_init_kwargs: Attributes to apply to each of CategoryList objects
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def viewlog(calc_id, host=, port=8000): base_url = % (host, port) start = 0 psize = 10 try: while True: url = base_url + % (calc_id, start, start + psize) rows = json.load(urlopen(url)) for row in rows: print(.join(row)) st...
Extract the log of the given calculation ID from the WebUI
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def swo_disable(self, port_mask): res = self._dll.JLINKARM_SWO_DisableTarget(port_mask) if res != 0: raise errors.JLinkException(res) return None
Disables ITM & Stimulus ports. Args: self (JLink): the ``JLink`` instance port_mask (int): mask specifying which ports to disable Returns: ``None`` Raises: JLinkException: on error
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def check_id_idx_exclusivity(id, idx): if (id is not None and idx is not None): msg = (" and fields can't both not be None," + " please specify subset in only one of these fields") logger.error(msg) raise Exception("parse_gctx.check_id_idx_exclusivity: " + msg) elif ...
Makes sure user didn't provide both ids and idx values to subset by. Input: - id (list or None): if not None, a list of string id names - idx (list or None): if not None, a list of integer id indexes Output: - a tuple: first element is subset type, second is subset content
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def _cut(dna, index, restriction_enzyme): cut_site = restriction_enzyme.cut_site top_cut = index + cut_site[0] bottom_cut = index + cut_site[1] to_cut = dna.pop() max_cut = max(top_cut, bottom_cut) min_cut = min(top_cut, bottom_cut) left = to_cut[:max_cut] right...
Cuts template once at the specified index. :param dna: DNA to cut :type dna: coral.DNA :param index: index at which to cut :type index: int :param restriction_enzyme: Enzyme with which to cut :type restriction_enzyme: coral.RestrictionSite :returns: 2-element list of digested sequence, incl...
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def print_preprocessing_list(preprocessing_queue): print(" print("```") for algorithm in preprocessing_queue: print("* " + str(algorithm)) print("```")
Print the ``preproc_list`` in a human-readable form. Parameters ---------- preprocessing_queue : list of preprocessing objects Algorithms that get applied for preprocessing.
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def format_node(import_graph, node, indent): if isinstance(node, graph.NodeSet): ind = * indent out = [ind + ] + [ format_file_node(import_graph, n, indent + 1) for n in node.nodes ] + [ind + ] return .join(out) else: return format_fi...
Helper function for print_tree
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def parseDate(dateString, strict=True): if (not strict) and (not dateString): return None if not isinstance(dateString, basestring): raise TypeError( % dateString) return parser.parse(dateString)
Return a datetime object, by parsing a string date/time With strict=False, dateString may be None or '', otherwise it must be a parseable string
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def xml_tag (self, name, content, attrs=None): self.write(self.indent*self.level) self.write(u"<%s" % xmlquote(name)) if attrs: for aname, avalue in attrs.items(): args = (xmlquote(aname), xmlquoteattr(avalue)) self.write(u % args) sel...
Write XML tag with content.
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def get_all_server_credentials(self, authorization, **kwargs): kwargs[] = True if kwargs.get(): return self.get_all_server_credentials_with_http_info(authorization, **kwargs) else: (data) = self.get_all_server_credentials_with_http_info(authorization, **kwarg...
Fetch all (Bootstrap and LwM2M) server credentials. # noqa: E501 This REST API is intended to be used by customers to fetch all (Bootstrap and LwM2M) server credentials that they will need to use with their clients to connect to bootstrap or LwM2M server. **Example usage:** curl -X GET \"http://api.us-east-1...
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def delimit_slug(slug, sep=): hyphenated_slug = re.sub(CRE_SLUG_DELIMITTER, sep, slug) return hyphenated_slug
Return a str of separated tokens found within a slugLike_This => 'slug Like This' >>> delimit_slug("slugLike_ThisW/aTLA's") 'slug Like This W a TLA s' >>> delimit_slug('slugLike_ThisW/aTLA', '|') 'slug|Like|This|W|a|TLA'
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def detect_arbitrary_send(self, contract): ret = [] for f in [f for f in contract.functions if f.contract == contract]: nodes = self.arbitrary_send(f) if nodes: ret.append((f, nodes)) return ret
Detect arbitrary send Args: contract (Contract) Returns: list((Function), (list (Node)))
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def actions(self): r = self.session.query(models.Action).all() return [x.type_name for x in r]
Gets the list of allowed actions :rtype: list[str]
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def get(self, exclude_recurse=None): reqs = Queue() pending = 1 path = self.path zk = self.zk def child_of(path): return zk.get_children_async(path) def dispatch(path): return Request(path, child_of(path)) stat = zk.exists(path)...
Paths matching exclude_recurse will not be recursed.
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def do_shell(self, arglist): proc = subprocess.Popen( shlex.split(arglist), stdout=subprocess.PIPE, stderr=subprocess.STDOUT ) print(proc.communicate()[0])
Run a shell command
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def apply_patch(self, patch_path): return self._execute(, stdout=open(os.devnull, ), stdin=open(patch_path, ))[0]
Applies the patch located at *patch_path*. Returns the return code of the patch command.
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def list_files(i): o=i.get(,) ruoa=i.get(,) muoa=i.get(,) duoa=i.get(,) r=load({:ruoa, :muoa, :duoa}) if r[]>0: return r p=r[] ii={:p} if i.get(,)!=: ii[]=i[] if i.get(,)!=: ii[]=i[] if i.get(,)!=: ii[]=i[] r=list_all_files(ii) if r[]>0: return r ...
Input: { (repo_uoa) (module_uoa) (data_uoa) parameters for function 'list_all_files' } Output: { return - return code = 0, if successful > 0, if error (error) ...