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def query_rpdns(self): results = requests.get(.format(self.get_data())).text.split() jsonresults = [] for idx, r in enumerate(results): if len(r) > 0: jsonresults.append(json.loads(r)) return jsonresults
Queries robtex reverse pdns-api using an ip as parameter :return: Dictionary containing results :rtype: list
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def on(signals, callback=None, max_calls=None): if isinstance(callback, int) or callback is None: if isinstance(callback, int): callback, max_calls = max_calls, callback return partial(_on, signals, max_calls=max_calls) elif isinstance(callback, types.Metho...
Registers a single callback for receiving an event (or event list). Optionally, can specify a maximum number of times the callback should receive a signal. This method works as both a function and a decorator:: smokesignal.on('foo', my_callback) @smokesignal.on('foo') def my_callback()...
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def _read_csv(self): expected_header = self._csv_header() for fname in self.datafiles: with open(fname, encoding=) as f: fields = next(csv.reader(f)) header = set(fields) if len(header) < len(fields): raise InvalidF...
:yields: asset nodes
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def tbframes(tb): frames=[tb.tb_frame] while tb.tb_next: tb=tb.tb_next; frames.append(tb.tb_frame) return frames
unwind traceback tb_next structure to array
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def get_shape(self, ds_id, ds_info): var_path = ds_info[] shape = self[var_path + ] if ((ds_info.get() == "longitude" or ds_info.get() == "latitude") and ds_id.resolution == 10000): return shape[0], int(shape[1] / 2) return shape
Get output shape of specified dataset.
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def _decrypt(self, value, encrypted_value): if sys.platform == : return self._decrypt_windows_chrome(value, encrypted_value) if value or (encrypted_value[:3] != b): return value encrypted_value = encrypted_value[3:] encrypted_value_ha...
Decrypt encoded cookies
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def on_doctree_read(app, document): literal_blocks = uqbar.book.sphinx.collect_literal_blocks(document) cache_mapping = uqbar.book.sphinx.group_literal_blocks_by_cache_path(literal_blocks) node_mapping = {} use_cache = bool(app.config["uqbar_book_use_cache"]) for cache_path, literal_block_group...
Hooks into Sphinx's ``doctree-read`` event.
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def make_dataset_models(dataset, schemas_and_tables, metadata_dict = None, version: int = 1, include_contacts=False): if metadata_dict is None: metadata_dict={} validate_types(schemas_and_tables) dataset_dict = {} cell_segment_model = make_cell_segment_model(dataset, version=version) da...
make all the models for a dataset Parameters ---------- dataset: str name of dataset table_and_types: list[(schema_name, table_name)] list of tuples with types and model names to make metadata_dict: a dictionary with keys of table_names and values of metadata dicts needed ...
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def run_exec(self, cmd, start_opts=None, globals_=None, locals_=None): if globals_ is None: globals_ = globals() if locals_ is None: locals_ = globals_ if not isinstance(cmd, types.CodeType): cmd = cmd+ pass self.core.start(start_o...
Run debugger on string `cmd' which will executed via the builtin function exec. Arguments `globals_' and `locals_' are the dictionaries to use for local and global variables. By default, the value of globals is globals(), the current global variables. If `locals_' is not given, it become...
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def addAttachment(self, attachment): if not isinstance(attachment, (list, tuple)): attachment = [attachment] original = self.getAttachment() or [] original = map(api.get_uid, original) attachment = map(api.get_uid, attachment) attachment ...
Adds an attachment or a list of attachments to the Analysis Request
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def main(command_line=True, **kwargs): version_num=pmag.get_version() meas_file= spec_file= samp_file= site_file= csv_file= ErSpecs,ErSamps,ErSites,ErLocs,ErCits=[],[],[],[],[] MagRecs=[] citation="This study" dir_path,demag=, args=sys.argv noave=0 dept...
NAME iodp_srm_magic.py DESCRIPTION converts IODP LIMS and LORE SRM archive half sample format files to magic_measurements format files SYNTAX iodp_srm_magic.py [command line options] OPTIONS -h: prints the help message and quits. -f FILE: specify input .csv file, ...
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def get_count_query(self): return ( super().get_count_query() .filter(models.DagModel.is_active) .filter(~models.DagModel.is_subdag) )
Default filters for model
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def remove(self, matcher, obj): current = self.subtree(matcher, False) if current is None: return if current._use_dict: try: del current.matchers_dict[(obj, matcher)] except KeyError: pass else: ...
Remove the matcher :param matcher: an EventMatcher :param obj: the object to remove
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def has_parent(self, router): parent = self while parent and parent is not router: parent = parent._parent return parent is not None
Check if ``router`` is ``self`` or a parent or ``self``
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def _connection(self, value): if isinstance(value, _Pipeline): self._pipelined_connection = value else: self._direct_connection = value self._pipelined_connection = None
If the value is a pipeline, save it as the connection to use for pipelines if to be shared in threads or goot thread. Do not remove the direct connection. If it is not a pipeline, clear it, and set the direct connection again.
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def html_annotate(doclist, markup=default_markup): tokenlist = [tokenize_annotated(doc, version) for doc, version in doclist] cur_tokens = tokenlist[0] for tokens in tokenlist[1:]: html_annotate_merge_annotations(cur_tokens, tokens) cur_tokens =...
doclist should be ordered from oldest to newest, like:: >>> version1 = 'Hello World' >>> version2 = 'Goodbye World' >>> print(html_annotate([(version1, 'version 1'), ... (version2, 'version 2')])) <span title="version 2">Goodbye</span> <span title="version 1...
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def might_need_auth(f): @wraps(f) def wrapper(cli_args): try: return_value = f(cli_args) except UnauthorizedException as e: config = config_from_env(config_from_file()) username = _get_username(cli_args, config) if username is None: ...
Decorate a CLI function that might require authentication. Catches any UnauthorizedException raised, prints a helpful message and then exits.
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def fail(self, text=None): return self.stop_and_persist(symbol=LogSymbols.ERROR.value, text=text)
Shows and persists fail symbol and text and exits. Parameters ---------- text : None, optional Text to be shown alongside fail symbol. Returns ------- self
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def process_m2m(self, obj, pk_set=None, action=None, update_fields=None, cache_key=None, **kwargs): if action not in (None, , , , ): return if action == : build_kwargs = self.remove_cache.take(cache_key) else: build_kwargs = self._get_build_kwargs(ob...
Process signals from dependencies. Remove signal is processed in two parts. For details see: :func:`~Dependency.connect`
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def from_graph(cls, graph, length=0): nodes = [] hyper = [] edges = defaultdict(list) j = 0 for i, node in enumerate(graph.nodes_iter()): nodes.append(node) preds = graph.in_edges(node, data=True) l = len(preds) if length...
Creates a hypergraph (expanded graph) from a :class:`caspo.core.graph.Graph` object instance Parameters ---------- graph : :class:`caspo.core.graph.Graph` The base interaction graph to be expanded length : int Maximum length for hyperedges source sets. If 0, use...
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def get_aggregate_balance(self, _async=False): params = {} path = return api_key_get(params, path, _async=_async)
查询所有子账户汇总 :param _async: 是否异步执行 :return:
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def _read_weights(self): weights = [] grams_per_pound = 453.592 for ser in self._serials: ser.write() ser.flush() time.sleep(0.02) for ser in self._serials: try: output_str = ser.readline() we...
Reads weights from each of the load cells.
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def resetCustomConfig(cls): _getLogger().info("Resetting all custom configuration properties; " "caller=%r", traceback.format_stack()) super(Configuration, cls).clear() _CustomConfigurationFileWrapper.clear(persistent=True)
Clear all custom configuration settings and delete the persistent custom configuration store.
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def kl_reverse(logu, self_normalized=False, name=None): with tf.compat.v1.name_scope(name, "kl_reverse", [logu]): return amari_alpha(logu, alpha=0., self_normalized=self_normalized)
The reverse Kullback-Leibler Csiszar-function in log-space. A Csiszar-function is a member of, ```none F = { f:R_+ to R : f convex }. ``` When `self_normalized = True`, the KL-reverse Csiszar-function is: ```none f(u) = -log(u) + (u - 1) ``` When `self_normalized = False` the `(u - 1)` term is om...
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def schnabel_eskow(mat, eps=1e-16): mat = numpy.asfarray(mat) tau = eps**(1/3.) size = mat.shape[0] mat0 = mat mat = 1*mat err = numpy.zeros(size, dtype=float) perm = numpy.eye(size) gamma = abs(mat.diagonal()).max() def invariant(mat, k): ...
Scnabel-Eskow algorithm for modified Cholesky factorisation algorithm. Args: mat (numpy.ndarray) : Must be a non-singular and symmetric matrix If sparse, the result will also be sparse. eps (float) : Error tolerance used in algorithm. Returns ------- perm : 2d array ...
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def __configure_roles(mapper, cls): cls.__roles__ = deepcopy(cls.__roles__) processed = set() for base in cls.__mro__: for name, attr in base.__dict__.items(): if name in processed or name.startswith(): continue ...
Run through attributes of the class looking for role decorations from :func:`with_roles` and add them to :attr:`cls.__roles__`
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def bourgain_embedding_matrix(distance_matrix): distance_matrix = np.array(distance_matrix) n = len(distance_matrix) if n == 1: return distance_matrix np.random.seed(123) distort_elements = [] r = range(n) k = int(math.ceil(math.log(n) / math.log(2) - 1)) t = int(math.ceil(m...
Use Bourgain algorithm to embed the neural architectures based on their edit-distance. Args: distance_matrix: A matrix of edit-distances. Returns: A matrix of distances after embedding.
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def transpose(self) -> : out = TextDiagramDrawer() out.entries = {(y, x): _DiagramText(v.transposed_text, v.text) for (x, y), v in self.entries.items()} out.vertical_lines = [_VerticalLine(*e) for e in self.horizontal_lines] o...
Returns the same diagram, but mirrored across its diagonal.
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def motion_commanded(self): rsp = self.driver.send_command(, immediate=True) if self.driver.command_error(rsp) or len(rsp[4]) != 1 \ or rsp[4][0][0:4] != : return False else: return (rsp[4][0][4] == )
Whether motion is commanded or not. ``bool`` Can't be set. Notes ----- It is the value of the first bit of the 'TAS' command.
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def DueToRun(self): if self.Get(self.Schema.DISABLED): return False cron_args = self.Get(self.Schema.CRON_ARGS) last_run_time = self.Get(self.Schema.LAST_RUN_TIME) now = rdfvalue.RDFDatetime.Now() if (last_run_time is None or now > cron_args.periodicity.Expiry(last_run_time...
Called periodically by the cron daemon, if True Run() will be called. Returns: True if it is time to run based on the specified frequency.
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def setXlimits(self, lims): self.responseSignalPlot.setXlim(lims) self.stimSignalPlot.setXlim(lims)
Sets the X axis limits of the signal plots :param lims: (min, max) of x axis, in same units as data :type lims: (float, float)
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def _date_to_datetime(value): if not isinstance(value, datetime.date): raise TypeError( % value) return datetime.datetime(value.year, value.month, value.day)
Convert a date to a datetime for Cloud Datastore storage. Args: value: A datetime.date object. Returns: A datetime object with time set to 0:00.
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def is_open_chunk(self, chk): cs = self.get_chunk_status(chk) if cs & 0x4 != 0: return True return False
Check the chunk is free or not
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def open(dataset_dir, access_mode=READ_ONLY_ACCESS): if access_mode == WRITE_ACCESS: raise ValueError() try: config_filename = os.path.join(dataset_dir, ) config = json.load(open(config_filename, )) except: ...
Opens a tensor dataset.
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def get_object(self, queryset=None): if self._cached_object is None: self._cached_object = super(EntryCacheMixin, self).get_object( queryset) return self._cached_object
Implement cache on ``get_object`` method to avoid repetitive calls, in POST.
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def update(cls, resource, new_name, algorithm, ssl_enable, ssl_disable): params = {} if new_name: params[] = new_name if algorithm: params[] = {: algorithm} if ssl_enable: params[] = ssl_enable if ssl_disable: params[] = Fa...
Update a webaccelerator
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def model_schema( model: Type[], by_alias: bool = True, ref_prefix: Optional[str] = None ) -> Dict[str, Any]: ref_prefix = ref_prefix or default_prefix flat_models = get_flat_models_from_model(model) model_name_map = get_model_name_map(flat_models) m_schema, m_definitions = model_process_schema...
Generate a JSON Schema for one model. With all the sub-models defined in the ``definitions`` top-level JSON key. :param model: a Pydantic model (a class that inherits from BaseModel) :param by_alias: generate the schemas using the aliases defined, if any :param ref_prefix: the JSON Pointer prefix for s...
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def fetch(self, is_dl_forced=False): file_paths = self._get_file_paths(self.tax_ids, ) self.get_files(is_dl_forced, file_paths) self.get_files(is_dl_forced, self.id_map_files)
Override Source.fetch() Fetches resources from String We also fetch ensembl to determine if protein pairs are from the same species Args: :param is_dl_forced (bool): Force download Returns: :return None
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def load_values(self): for config_name, evar in self.evar_defs.items(): if evar.is_required and evar.name not in os.environ: raise RuntimeError(( "Missing required environment variable: {evar_name}\n" "{help_txt}" ).fo...
Go through the env var map, transferring the values to this object as attributes. :raises: RuntimeError if a required env var isn't defined.
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def get_content(self, language, ctype, language_fallback=False): return Content.objects.get_content(self, language, ctype, language_fallback)
Shortcut method for retrieving a piece of page content :param language: wanted language, if not defined default is used. :param ctype: the type of content. :param fallback: if ``True``, the content will also be searched in \ other languages.
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def _find_hstreaming(): global WARNED_HADOOP_HOME, HADOOP_STREAMING_PATH_CACHE if HADOOP_STREAMING_PATH_CACHE: return HADOOP_STREAMING_PATH_CACHE try: search_root = os.environ[] except KeyError: search_root = cmd = % (search_root) p = subprocess.Popen(cmd.split(), ...
Finds the whole path to the hadoop streaming jar. If the environmental var HADOOP_HOME is specified, then start the search from there. Returns: Full path to the hadoop streaming jar if found, else return an empty string.
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def calculate_tree_differences(self, pytree, doctree): pykeys = set(pytree.keys()) dockeys = set(doctree.keys()) missing_doc_keys = pykeys - dockeys missing_docs = {pytree[pyfile] for pyfile in missing_doc_keys} missing_py_keys = dockeys - pykeys ...
Calculate the differences between the given trees. :param dict pytree: The dictionary of the parsed Python tree. :param dict doctree: The dictionary of the parsed documentation tree. :rtype: tuple :returns: A two-tuple of sets, where the first is the missing Python files, and the second...
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def list_actions(): for name, action in _current_actions.items(): click.echo(.format( name, if hasattr(action, ) else ))
List all registered actions.
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def show_portindex_interface_info_output_show_portindex_interface_show_portindex_port_type(self, **kwargs): config = ET.Element("config") show_portindex_interface_info = ET.Element("show_portindex_interface_info") config = show_portindex_interface_info output = ET.SubElement(sho...
Auto Generated Code
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def get_stability_criteria(self, s, n): n = get_uvec(n) stress = s * np.outer(n, n) sym_wallace = self.get_symmetric_wallace_tensor(stress) return np.linalg.det(sym_wallace.voigt)
Gets the stability criteria from the symmetric Wallace tensor from an input vector and stress value. Args: s (float): Stress value at which to evaluate the stability criteria n (3x1 array-like): direction of the applied stress
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def build(self, limit_states, discretization, steps_per_interval): new = copy.copy(self) add_zero = (self.format == and self.nodamage and self.nodamage <= self.imls[0]) new.imls = build_imls(new, discretization) if steps_per_interval > 1: new.int...
:param limit_states: a sequence of limit states :param discretization: continouos fragility discretization parameter :param steps_per_interval: steps_per_interval parameter :returns: a populated FragilityFunctionList instance
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def insertBulkBlock(self): try: body = request.body.read() indata = cjson.decode(body) if (indata.get("file_parent_list", []) and indata.get("dataset_parent_list", [])): dbsExceptionHandler("dbsException-invalid-input2", "insertBulkBlock: dataset and...
API to insert a bulk block :param blockDump: Output of the block dump command :type blockDump: dict
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def blob_to_pyasn1(blob): return pyasn1.codec.der.decoder.decode( blob, asn1Spec=pyasn1_modules.rfc2459.Certificate() )[0]
Convert an ASN.1 encoded certificate (such as obtained from :func:`extract_blob`) to a :mod:`pyasn1` structure and return the result.
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def write_path(target, path, value, separator=): parts = path.split(separator) current = target for part in parts[:-1]: if part not in current: current[part] = current = {} else: current = current[part] current[parts[-1]] = value
Write a value deep into a dict building any intermediate keys. :param target: a dict to write data to :param path: a key or path to a key (path is delimited by `separator`) :param value: the value to write to the key :keyword separator: the separator used in the path (ex. Could be "." for a jso...
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def _zipped(self, docs_base): with pushd(docs_base): with tempfile.NamedTemporaryFile(prefix=, delete=False) as ziphandle: pass zip_name = shutil.make_archive(ziphandle.name, ) notify.info("Uploading {:.1f} MiB from to ..." .format(o...
Provide a zipped stream of the docs tree.
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def file_handle(fnh, mode="rU"): handle = None if isinstance(fnh, file): if fnh.closed: raise ValueError("Input file is closed.") handle = fnh elif isinstance(fnh, str): handle = open(fnh, mode) return handle
Takes either a file path or an open file handle, checks validity and returns an open file handle or raises an appropriate Exception. :type fnh: str :param fnh: It is the full path to a file, or open file handle :type mode: str :param mode: The way in which this file will be used, for example to re...
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def _cmd_run(cmd): cmd.insert(0, ) cmd_ret = __salt__[](cmd, ignore_retcode=True) if cmd_ret[] != 0: log.debug(, cmd, cmd_ret[]) return cmd_ret[]
Run the aptly command. :return: The string output of the command. :rtype: str
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def get_range_selector(steps=[,],bgcolor=,x=0,y=0.9, visible=True,**kwargs): import string def get_step(s): term=[] stepmode= _s=s _s=_s.replace(,) _s=_s.lower() if _s in [,]: return {:1,:s,:} if _s[-2:]==: _s=_s[:-2] stepmode= if _s[0] not in string.digits: _s=+_s if _s[0] ...
Returns a range selector Reference: https://plot.ly/python/reference/#layout-xaxis-rangeselector Parameters: ----------- steps : string or list(string) Steps for the range Examples: ['1y','2 months','5 weeks','ytd','2mtd'] bgocolor : string or tuple(color,alpha) Background color Examples: ...
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def jsonify(obj): if hasattr(obj, ): d = obj.to_json() _push_metadata(d, obj) return jsonify(d) if isinstance(obj, np.ndarray): return obj.tolist() if isinstance(obj, (np.int32, np.int64)): return int(obj) if isinstance(obj, np.float64): ...
Return a JSON-encodable representation of an object, recursively using any available ``to_json`` methods, converting NumPy arrays and datatypes to native lists and types along the way.
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def _phir(self, rho, T, x): Tc12 = 0.9648407/2*(IAPWS95.Tc+NH3.Tc) Tn = (1-x)**2*IAPWS95.Tc + x**2*NH3.Tc + 2*x*(1-x**1.125455)*Tc12 dTnx = -2*IAPWS95.Tc*(1-x) + 2*x*NH3.Tc + 2*Tc12*(1-x**1.125455) - \ 2*Tc12*1.12455*x**1.12455 b = 0.8978069 ...
Residual contribution to the free Helmholtz energy Parameters ---------- rho : float Density, [kg/m³] T : float Temperature, [K] x : float Mole fraction of ammonia in mixture, [mol/mol] Returns ------- prop : dict ...
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def wrap_json(cls, json): u = User(usertype=json[], name=json[], logo=json[], twitchid=json[], displayname=json[], bio=json[]) return u
Create a User instance for the given json :param json: the dict with the information of the user :type json: :class:`dict` | None :returns: the new user instance :rtype: :class:`User` :raises: None
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def query(cls, name=None, offset=None, limit=None, api=None): api = api or cls._API return super(Automation, cls)._query( url=cls._URL[], name=name, offset=offset, limit=limit, api=api, )
Query (List) automations. :param name: Automation name. :param offset: Pagination offset. :param limit: Pagination limit. :param api: Api instance. :return: collection object
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def item_selection_changed(self): is_selection = len(self.selectedItems()) > 0 self.expand_selection_action.setEnabled(is_selection) self.collapse_selection_action.setEnabled(is_selection)
Item selection has changed
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def sysrq(vm, action=, key=): vm*** ret = {} if key not in [, , ]: ret[] = return ret if action not in [, ]: ret[] = return ret vm = lookup(.format(key, vm), one=True) if in vm: return vm cmd = .format( uuid=vm, action=action ...
Send non-maskable interrupt to vm or capture a screenshot vm : string vm to be targeted action : string nmi or screenshot -- Default: nmi key : string [uuid|alias|hostname] value type of 'vm' parameter CLI Example: .. code-block:: bash salt '*' vmadm.sysrq 186da9a...
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def create_toc(doctree, depth=9223372036854775807, writer_name=, exclude_first_section=True, href_prefix=None, id_prefix=): doctree = doctree.deepcopy() doctree.settings.auto_id_prefix = id_prefix details = { : depth, } startnode = None if ...
Create a Table of Contents (TOC) from the given doctree Returns: (docutils.core.Publisher instance, output string) `writer_name`: represents a reST writer name and determines the type of output returned. Example: pub = blazeutils.rst.rst2pub(toc_rst) pub, html_output = blazeutils...
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def _all_shorten(self): self.shorten = not self.shorten urls = iter(self.urls) for item in self.items: if isinstance(item, urwid.Columns): item[1].set_label(shorten_url(next(urls), self.size[...
S
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def __execute_validations(self, validations, data, property_name, ancestors, negation=False, prefix=None): if not isinstance(ancestors, OrderedDict): raise TypeError("ancestors must be an OrderedDict. type: {0} was passed.".format(type(ancestors))) if not isinstance(validations, di...
Validate the data for a specific configuration value. This method will look up all of the validations provided and dynamically call any validation methods. If a validation fails a error will be thrown. If no errors are found a attributes will be dynamically created on the Config object for the configur...
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def minimal_random_graph(num_vertices, seed=None, **kwargs): if isinstance(seed, numbers.Integral): np.random.seed(seed) points = np.random.random((num_vertices, 2)) * 10 edges = [] for k in range(num_vertices - 1): for j in range(k + 1, num_vertices): v = points[k] - ...
Creates a connected graph with random vertex locations. Parameters ---------- num_vertices : int The number of vertices in the graph. seed : int (optional) An integer used to initialize numpy's psuedorandom number generators. **kwargs : Unused. Returns -----...
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def describe_jobflows(self, states=None, jobflow_ids=None, created_after=None, created_before=None): params = {} if states: self.build_list_params(params, states, ) if jobflow_ids: self.build_list_params(params, jobflow_ids, ) ...
Retrieve all the Elastic MapReduce job flows on your account :type states: list :param states: A list of strings with job flow states wanted :type jobflow_ids: list :param jobflow_ids: A list of job flow IDs :type created_after: datetime :param created_after: Bound on j...
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def parse_ensembl_gene_request(result): LOG.info("Parsing genes from request") for index, row in result.iterrows(): ensembl_info = {} if type(row[]) is float: continue ensembl_info[] = row[] ensembl_info[] = int(row[]) en...
Parse a dataframe with ensembl gene information Args: res(pandas.DataFrame) Yields: gene_info(dict)
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def resolve_url(to, *args, **kwargs): from compat import six, force_text if not in to and not in to: raise return to
Return a URL appropriate for the arguments passed. The arguments could be: * A model: the model's `get_absolute_url()` function will be called. * A view name, possibly with arguments: `urlresolvers.reverse()` will be used to reverse-resolve the name. * A URL, which will be returned...
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def shape(self, i=0): shp = self.__getFileObj(self.shp) i = self.__restrictIndex(i) offset = self.__shapeIndex(i) if not offset: for j,k in enumerate(self.iterShapes()): if j == i: return k shp.seek(of...
Returns a shape object for a shape in the the geometry record file.
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def include_callback_query_chat_id(fn=pair, types=): @_ensure_seeders_list def p(seeders, delegator_factory, *args, **kwargs): return fn(seeders + [per_callback_query_chat_id(types=types)], delegator_factory, *args, include_callback_query=True, **kwargs) return p
:return: a pair producer that enables static callback query capturing across seeder and delegator. :param types: ``all`` or a list of chat types (``private``, ``group``, ``channel``)
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def get_github_cache(self, kind, key_): cache = {} res_size = 100 from_ = 0 index_github = "github/" + kind url = self.elastic.url + "/" + index_github url += "/_search" + "?" + "size=%i" % res_size r = self.requests.get(url) type_items = r.j...
Get cache data for items of _type using key_ as the cache dict key
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def find_files(filenames, recursive, exclude): while filenames: name = filenames.pop(0) if recursive and os.path.isdir(name): for root, directories, children in os.walk(name): filenames += [os.path.join(root, f) for f in children if matc...
Yield filenames.
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def _set_transmaps(self): if self._std == : self._lower_chars = string.ascii_lowercase self._upper_chars = string.ascii_uppercase elif self._std == : self._lower_chars = (string.ascii_lowercase + .join(chr(i) for i in range(1...
Set translation maps for our standard.
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def add_error(self, code, line, char, description): if code not in self.violations: self.violations[code] = 0 self.violations[code] += 1 self.lines.append((code, line, char, description))
Registers an error for this container with code on line at char. :param code: The PEP 8 error code :param line: The line number of the reported error :param char: Line location of first offending character :param description: The human readable description of the thrown error/warning
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def load_into_collection_from_file(collection, filename, content_type=None): if content_type is None: ext = os.path.splitext(filename)[1] try: content_type = MimeTypeRegistry.get_type_for_extension(ext) except KeyError: raise Va...
Loads resources from the specified file into the given collection resource. If no content type is provided, an attempt is made to look up the extension of the given filename in the MIME content type registry.
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def create_tileset(ctx, dataset, tileset, name): access_token = (ctx.obj and ctx.obj.get()) or None service = mapbox.Uploader(access_token=access_token) uri = "mapbox://datasets/{username}/{dataset}".format( username=tileset.split()[0], dataset=dataset) res = service.create(uri, tileset,...
Create a vector tileset from a dataset. $ mapbox datasets create-tileset dataset-id username.data Note that the tileset must start with your username and the dataset must be one that you own. To view processing status, visit https://www.mapbox.com/data/. You may not generate another tilesets f...
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def format(self, maxline=0, pstyle=, nline=None, extend=True): if nline is not None and maxline == 0: maxline = nline if maxline is True: maxline = sys.maxsize if maxline is False or maxline is None: maxline = -1 ...
Formats fit output details into a string for printing. The output tabulates the ``chi**2`` per degree of freedom of the fit (``chi2/dof``), the number of degrees of freedom, the ``Q`` value of the fit (ie, p-value), and the logarithm of the Gaussian Bayes Factor for the fit (``logGBF``...
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async def on_raw_kill(self, message): by, bymeta = self._parse_user(message.source) target, targetmeta = self._parse_user(message.params[0]) reason = message.params[1] self._sync_user(target, targetmeta) if by in self.users: self._sync_user(by, bymeta) ...
KILL command.
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def simBirth(self,which_agents): IndShockConsumerType.simBirth(self,which_agents) if not self.global_markov: N = np.sum(which_agents) base_draws = drawUniform(N,seed=self.RNG.randint(0,2**31-1)) Cutoffs = np.cumsum(np.array(self.MrkvPrbsInit)) ...
Makes new Markov consumer by drawing initial normalized assets, permanent income levels, and discrete states. Calls IndShockConsumerType.simBirth, then draws from initial Markov distribution. Parameters ---------- which_agents : np.array(Bool) Boolean array of size self.Agen...
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def force_list(data): if data is None: return [] elif not isinstance(data, (list, tuple, set)): return [data] elif isinstance(data, (tuple, set)): return list(data) return data
Force ``data`` to become a list. You should use this method whenever you don't want to deal with the fact that ``NoneType`` can't be iterated over. For example, instead of writing:: bar = foo.get('bar') if bar is not None: for el in bar: ... you can write::...
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def get_changed_files(self, first_sha, second_sha, exclude_paths=None): if not exclude_paths: exclude_paths = [] first_commit = self.repo.commit(first_sha) second_commit = self.repo.commit(second_sha) diffs = first_commit.diff(second_commit) changed_files =...
:param first_sha: :param second_sha: :param exclude_paths: :return:
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def move_content_to_origin(self): tcs = list(self.iter_tcs()) origin_tc = tcs[0] for spanned_tc in tcs[1:]: origin_tc.append_ps_from(spanned_tc)
Move all paragraphs in range to origin cell.
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def _check_gle_response(result): _check_command_response(result) if result.get("wtimeout", False): raise WTimeoutError(result.get("errmsg", result.get("err")), result.get("code"), result) error_msg = resul...
Return getlasterror response as a dict, or raise OperationFailure.
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def __setup_connection(self): if self.payload != None and type(self.payload) is dict and in self.payload: config.plugin_client_settings = self.payload[] config.offline = self.args.offline config.connection = PluginConnection( client=self.args.client or , ...
each operation requested represents a session the session holds information about the plugin running it and establishes a project object
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def tags(self): tags = self.config.get(, {}) env_tags = os.environ.get(, ) if env_tags: for kv in env_tags.split(): key, value = kv.split() tags[key.strip()] = value.strip() return tags
:return: Returns tags from config and `JAEGER_TAGS` environment variable to use as process-wide tracer tags
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def handle(cls, value, **kwargs): value = read_value_from_path(value) table_info = None table_keys = None region = None table_name = None if in value: table_info, table_keys = value.split(, 1) if in table_info: region, ta...
Get a value from a dynamodb table dynamodb field types should be in the following format: [<region>:]<tablename>@<primarypartionkey>:<keyvalue>.<keyvalue>... Note: The region is optional, and defaults to the environment's `AWS_DEFAULT_REGION` if not specified.
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def extractRuntime(runtime_dirs): names = [str(item) for name in runtime_dirs for item in os.listdir(name)] string = .join(names) result = extract(RUNTIME_PATTERN, string, condense=True) return result
Used to find the correct static lib name to pass to gcc
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def _process_ddg2p_annotations(self, limit): line_counter = 0 if self.graph is not None: graph = self.graph else: graph = self.graph hgnc = HGNC(self.graph_type, self.are_bnodes_skolemized) hgnc_symbol_id_map = hgnc.get_symbol_id_map() ...
The ddg2p annotations associate a gene symbol to an omim disease, along with some HPO ids and pubs. The gene symbols come from gencode, which in turn come from HGNC official gene symbols. Therefore, we use the HGNC source class to get the id/symbol mapping for use in our annotations her...
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def text(self): if self.driver.w3c: return self.driver.execute(Command.W3C_GET_ALERT_TEXT)["value"] else: return self.driver.execute(Command.GET_ALERT_TEXT)["value"]
Gets the text of the Alert.
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def create_peaklist(self, spectrum, chain, chain_idx, source): sequence_sites = self.create_sequence_sites(chain, spectrum.seq_site_length) spin_systems = [] peaklist = plsimulator.PeakList(spectrum.name, spectrum.labels, source, chain_idx) for seq_site in sequence_sites: ...
Create peak list file. :param spectrum: Spectrum object instance. :type spectrum: :class:`~nmrstarlib.plsimulator.Spectrum` :param dict chain: Chain object that contains chemical shift values and assignment information. :param int chain_idx: Protein chain index. :param str sourc...
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def wait(self, timeout=None): if timeout is None: timeout = self._timeout while self._process.check_readable(timeout): self._flush()
Wait for response until timeout. If timeout is specified to None, ``self.timeout`` is used. :param float timeout: seconds to wait I/O
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def get_mesh(sitecol, complete=True): sc = sitecol.complete if complete else sitecol if sc.at_sea_level(): mesh = numpy.zeros(len(sc), [(, F64), (, F64)]) mesh[] = sc.lons mesh[] = sc.lats else: mesh = numpy.zeros(len(sc), [(, F64), (, F64), ...
:returns: a lon-lat or lon-lat-depth array depending if the site collection is at sea level or not
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def diff_to_new_interesting_lines(unified_diff_lines: List[str] ) -> Dict[int, str]: interesting_lines = dict() for diff_line in unified_diff_lines: if not diff_line.startswith(): continue change = diff_line[3:diff_line.index(, 3)] ...
Extracts a set of 'interesting' lines out of a GNU unified diff format. Format: gnu.org/software/diffutils/manual/html_node/Detailed-Unified.html @@ from-line-numbers to-line-numbers @@ line-from-either-file ... @@ start,count start,count @@ line-from-either-file ...
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def NextToken(self): self._previous_line = self._line self._previous_column = self._column self._column += len(self.token) self._SkipWhitespace() if not self._more_lines: self.token = return match = self._TOKEN.match(self._current_line, self._column) if not match and not...
Reads the next meaningful token.
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async def close(self): if self._conn is None: return await self._run_operation(self._impl.close) self._conn = None
Close the cursor now (rather than whenever __del__ is called). The cursor will be unusable from this point forward; an Error (or subclass) exception will be raised if any operation is attempted with the cursor.
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def DyStrData(cls, name, regx, index = 0): 123 text = Web.PageSource() if not text: return if not isinstance(regx, re._pattern_type): raise Exception("DyStrData need the arg which have compiled the regular expression.") values = regx.f...
set dynamic value from the string data of response @param name: glob parameter name @param regx: re._pattern_type e.g. DyStrData("a",re.compile('123'))
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def override_subcommand(section_name, section_items, args): _boolean_states = {: True, : True, : True, : False, : False, : False} for k, v, in section_items: try: normalized_value = v.lower() except AttributeError: ...
Given a specific section in the configuration file that maps to a subcommand (except for the global section) read all the keys that are actual argument flags and slap the values for that one subcommand. Return the altered ``args`` object at the end.
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def get_freesurfer_dir(directory): dir_files = [f for f in os.listdir(directory)] if in dir_files and in dir_files: return directory for f in os.listdir(directory): sub_dir = os.path.join(directory, f) if os.path.isdir(sub_dir): if get_freesurfer_dir...
Find a subfolder in the given directory that contains a Freesurfer anatomy (this may be the directory itself). Currently, the test is whether there are sub-folders with name 'surf' and 'mri'. Processes all sub-folders recursively until a freesurfer directory is found. If no matching folder is found the ...
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def append(name, text=None, makedirs=False, source=None, source_hash=None, template=, sources=None, source_hashes=None, defaults=None, context=None, ignore_whitespace=True): ret = {: name, :...
Ensure that some text appears at the end of a file. The text will not be appended if it already exists in the file. A single string of text or a list of strings may be appended. name The location of the file to append to. text The text to be appended, which can be a single string or a...
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def get_true_function(obj): "Returns the actual function and a boolean indicated if this is a method or not." if not callable(obj): raise TypeError("%r is not callable." % (obj,)) ismethod = inspect.ismethod(obj) if inspect.isfunction(obj) or ismethod: return obj, ismethod if hasattr...
Returns the actual function and a boolean indicated if this is a method or not.
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def build_artefact(self, src_project=None): path_to_zip_file = self.build.run(src_project or self.config.get_projectdir()) self.set_artefact_path(path_to_zip_file) deploy_method = self.config["deploy"]["deploy_method"] if deploy_method == "S3": deploy_bucket = self...
Run deploy the lambdas defined in our project. Steps: * Build Artefact * Read file or deploy to S3. It's defined in config["deploy"]["deploy_method"] :param src_project: str. Name of the folder or path of the project where our code lives :return: bool
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def manhattan(x, y): result = 0.0 for i in range(x.shape[0]): result += np.abs(x[i] - y[i]) return result
Manhatten, taxicab, or l1 distance. ..math:: D(x, y) = \sum_i |x_i - y_i|