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def iteritems(self): r if self.columns.is_unique and hasattr(self, ): for k in self.columns: yield k, self._get_item_cache(k) else: for i, k in enumerate(self.columns): yield k, self._ixs(i, axis=1)
r""" Iterator over (column name, Series) pairs. Iterates over the DataFrame columns, returning a tuple with the column name and the content as a Series. Yields ------ label : object The column names for the DataFrame being iterated over. content : Se...
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def saturation_equivalent_potential_temperature(pressure, temperature): r t = temperature.to().magnitude p = pressure.to().magnitude e = saturation_vapor_pressure(temperature).to().magnitude r = saturation_mixing_ratio(pressure, temperature).magnitude th_l = t * (1000 / (p - e)) ** mpconsts.kap...
r"""Calculate saturation equivalent potential temperature. This calculation must be given an air parcel's pressure and temperature. The implementation uses the formula outlined in [Bolton1980]_ for the equivalent potential temperature, and assumes a saturated process. First, because we assume a satura...
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def get_config_parameter_loglevel(config: ConfigParser, section: str, param: str, default: int) -> int: try: value = config.get(section, param).lower() if value == "debug": return l...
Get ``loglevel`` parameter from ``configparser`` ``.INI`` file, e.g. mapping ``'debug'`` to ``logging.DEBUG``. Args: config: :class:`ConfigParser` object section: section name within config file param: name of parameter within section default: default value Returns: ...
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def decr(self, field, by=1): return self._client.hincrby(self.key_prefix, field, by * -1)
:see::meth:RedisMap.decr
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def get_file_checksum(path): if not (sys.platform.startswith() or \ sys.platform in [, ]): raise OSError() assert isinstance(path, (str, _oldstr)) if not os.path.isfile(path): raise IOError( %(path)) sub = subproc.Popen( %(path), bufsize=-1, shell=T...
Get the checksum of a file (using ``sum``, Unix-only). This function is only available on certain platforms. Parameters ---------- path: str The path of the file. Returns ------- int The checksum. Raises ------ IOError If the file does not exist.
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def match(self, ra1, dec1, ra2, dec2, radius, maxmatch=1, convertToArray=True): ra1 = numpy.array(ra1, dtype=, ndmin=1, copy=False) dec1 = numpy.array(dec1, dtype=, ndmin=1, copy=False) ra2 = numpy.array(ra2, dtype=, ndmin=1, copy=False) dec2 = numpy.array(dec2, dtype=...
*Crossmatch two lists of ra/dec points* This is very efficient for large search angles and large lists. Note, if you need to match against the same points many times, you should use a `Matcher` object **Key Arguments:** - ``ra1`` -- list, numpy array or single ra value (first coordinate se...
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def add_dimension(dimension,**kwargs): if numpy.isscalar(dimension): dimension = {: dimension} new_dimension = Dimension() new_dimension.name = dimension["name"] if "description" in dimension and dimension["description"] is not None: new_dimension.description = dimension[...
Add the dimension defined into the object "dimension" to the DB If dimension["project_id"] is None it means that the dimension is global, otherwise is property of a project If the dimension exists emits an exception
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def get_version(model_instance, version): version_field = get_version_fieldname(model_instance) kwargs = {: model_instance.pk, version_field: version} return model_instance.__class__.objects.get(**kwargs)
try go load from the database one object with specific version :param model_instance: instance in memory :param version: version number :return:
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def get_learning_path_session_for_objective_bank(self, objective_bank_id=None): if not objective_bank_id: raise NullArgument if not self.supports_learning_path(): raise Unimplemented() try: from . import sessions except ImportError: ...
Gets the OsidSession associated with the learning path service for the given objective bank. arg: objectiveBankId (osid.id.Id): the Id of the ObjectiveBank return: (osid.learning.LearningPathSession) - a LearningPathSession raise: NotFound - no object...
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def fnmatch( name, pat ): import os name = os.path.normcase( name ) pat = os.path.normcase( pat ) return fnmatchcase( name, pat )
Test whether FILENAME matches PATTERN. Patterns are Unix shell style: * matches everything ? matches any single character [seq] matches any character in seq [!seq] matches any char not in seq An initial period in FILENAME is not special. Both FILENAME and PATTERN are first ...
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def word_wrap(self): return { ST_TextWrappingType.SQUARE: True, ST_TextWrappingType.NONE: False, None: None }[self._txBody.bodyPr.wrap]
Read-write setting determining whether lines of text in this shape are wrapped to fit within the shape's width. Valid values are True, False, or None. True and False turn word wrap on and off, respectively. Assigning None to word wrap causes any word wrap setting to be removed from the t...
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def add_to_inventory(self): if not self.server_attrs: return for addy in self.server_attrs[A.server.PUBLIC_IPS]: self.stack.add_host(addy, self.groups, self.hostvars)
Adds host to stack inventory
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def clear(self): if self._cache is None: return _NO_RESULTS if self._cache is not None: with self._cache as k: res = [x.as_operation() for x in k.values()] k.clear() k.out_deque.clear() return res
Clears the cache.
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def bind_rows(df, other, join=, ignore_index=False): df = pd.concat([df, other], join=join, ignore_index=ignore_index, axis=0) return df
Binds DataFrames "vertically", stacking them together. This is equivalent to `pd.concat` with `axis=0`. Args: df (pandas.DataFrame): Top DataFrame (passed in via pipe). other (pandas.DataFrame): Bottom DataFrame. Kwargs: join (str): One of `"outer"` or `"inner"`. Outer join will pr...
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def _get_installed(self): from utility import get_json fulldata = get_json(self.instpath, {}) if "installed" in fulldata: return fulldata["installed"] else: return []
Gets a list of the file paths to repo settings files that are being monitored by the CI server.
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def to_file(self, f, sorted=True, relativize=True, nl=None): if sys.hexversion >= 0x02030000: str_type = basestring else: str_type = str if nl is None: opts = else: opts = if isinstance(f, str_type): ...
Write a zone to a file. @param f: file or string. If I{f} is a string, it is treated as the name of a file to open. @param sorted: if True, the file will be written with the names sorted in DNSSEC order from least to greatest. Otherwise the names will be written in whatever or...
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def AddAnalogShortIdRecordNoStatus(site_service, tag, time_value, value): szService = c_char_p(site_service.encode()) szPointId = c_char_p(tag.encode()) tTime = c_long(int(time_value)) dValue = c_double(value) nRet = dnaserv_dll.DnaAddAnalogShortIdRecordNoStatus(szService, szPointId,...
This function will add an analog value to the specified eDNA service and tag, without an associated point status. :param site_service: The site.service where data will be pushed :param tag: The eDNA tag to push data. Tag only (e.g. ADE1CA01) :param time_value: The time of the point, which MUST be in UT...
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def _onIdle(self, evt): evt.Skip() FigureCanvasBase.idle_event(self, guiEvent=evt)
a GUI idle event
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def printUniqueTFAM(tfam, samples, prefix): fileName = prefix + ".unique_samples.tfam" try: with open(fileName, "w") as outputFile: for i in sorted(samples.values()): print >>outputFile, "\t".join(tfam[i]) except IOError: msg = "%(fileName)s: no such file" ...
Prints a new TFAM with only unique samples. :param tfam: a representation of a TFAM file. :param samples: the position of the samples :param prefix: the prefix of the output file name :type tfam: list :type samples: dict :type prefix: str
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def wait_for(self, timeout=None, **kwargs): if len(kwargs) == 0: raise ArgumentError("You must specify at least one message field to wait on") spec = MessageSpec(**kwargs) future = self._add_waiter(spec) future.add_done_callback(lambda x: self._remove_waiter(spec, ...
Wait for a specific matching message or timeout. You specify the message by passing name=value keyword arguments to this method. The first message received after this function has been called that has all of the given keys with the given values will be returned when this function is aw...
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def ast_to_html(self, ast, link_resolver): out, _ = cmark.ast_to_html(ast, link_resolver) return out
See the documentation of `to_ast` for more information. Args: ast: PyCapsule, a capsule as returned by `to_ast` link_resolver: hotdoc.core.links.LinkResolver, a link resolver instance.
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def cache_status(db, aid, force=False): with db: cur = db.cursor() if not force: number = 0 for number, watched in cur: if watched == 0: number -= 1 break set_status(db,...
Calculate and cache status for given anime. Don't do anything if status already exists and force is False.
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def set_experiment_winner(experiment): redis = _get_redis_connection() experiment = Experiment.find(redis, experiment) if experiment: alternative_name = request.form.get() alternative = Alternative(redis, alternative_name, experiment.name) if alternative.name in experiment.alter...
Mark an alternative as the winner of the experiment.
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def cov_from_scales(self, scales): ord_sc = [] for stochastic in self.stochastics: ord_sc.append(np.ravel(scales[stochastic])) ord_sc = np.concatenate(ord_sc) if np.squeeze(ord_sc).shape[0] != self.dim: raise ValueError("Improper initial scales...
Return a covariance matrix built from a dictionary of scales. `scales` is a dictionary keyed by stochastic instances, and the values refer are the variance of the jump distribution for each stochastic. If a stochastic is a sequence, the variance must have the same length.
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def _compute_fluxes(self): sma = self.sample.geometry.sma x0 = self.sample.geometry.x0 y0 = self.sample.geometry.y0 xsize = self.sample.image.shape[1] ysize = self.sample.image.shape[0] imin = max(0, int(x0 - sma - 0.5) - 1) jmin = max(0, int(y...
Compute integrated flux inside ellipse, as well as inside a circle defined with the same semimajor axis. Pixels in a square section enclosing circle are scanned; the distance of each pixel to the isophote center is compared both with the semimajor axis length and with the length of the ...
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def get_inventory(self): if self._inventory is not None: return self._inventory self._inventory = self.resolver.getMetadata() return self._inventory
Request the api endpoint to retrieve information about the inventory :return: Main Collection :rtype: Collection
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def _parse(cls, scope): if not scope: return (,) if isinstance(scope, string_types): scope = scope.split() scope = {str(s).lower() for s in scope if s} return scope or (,)
Parses the input scope into a normalized set of strings. :param scope: A string or tuple containing zero or more scope names. :return: A set of scope name strings, or a tuple with the default scope name. :rtype: set
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def api_notifications(): event_type = request.values[] assignment_id = request.values[] db.logger.debug(, event_type, assignment_id) q.enqueue(worker_function, event_type, assignment_id, None) db.logger.debug(, len(q), .join(q.job_ids)) return ...
Receive MTurk REST notifications.
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def info(self, correlation_id, message, *args, **kwargs): self._format_and_write(LogLevel.Info, correlation_id, None, message, args, kwargs)
Logs an important information message :param correlation_id: (optional) transaction id to trace execution through call chain. :param message: a human-readable message to log. :param args: arguments to parameterize the message. :param kwargs: arguments to parameterize the message.
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def morph(clm1, clm2, t, lmax): clm = (1 - t) * clm1 + t * clm2 grid_reco = clm.expand(lmax=lmax) agrid_reco = grid_reco.to_array() pts = [] for i, longs in enumerate(agrid_reco): ilat = grid_reco.lats()[i] for j, value in enumerate(longs): ilong = grid_reco.lons()...
Interpolate linearly the two sets of sph harm. coeeficients.
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def transform_doc_comments(text): try: while True: found = DOC_COMMENT_SEE_PATTERN.search(text) if found is None: break ref = found.group("attr_value").replace("<", "\<").replace("`", "\`") reftype = "any" ...
Parse XML content for references and other syntax. This avoids an LXML dependency, we only need to parse out a small subset of elements here. Iterate over string to reduce regex pattern complexity and make substitutions easier .. seealso:: `Doc comment reference <https://m...
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def chmod(self, path, mode, follow_symlinks=True): try: file_object = self.resolve(path, follow_symlinks, allow_fd=True) except IOError as io_error: if io_error.errno == errno.ENOENT: self.raise_os_error(errno.ENOENT, path) raise if se...
Change the permissions of a file as encoded in integer mode. Args: path: (str) Path to the file. mode: (int) Permissions. follow_symlinks: If `False` and `path` points to a symlink, the link itself is affected instead of the linked object.
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def parse_variant_id(chrom, pos, ref, alt, variant_type): return generate_md5_key([chrom, pos, ref, alt, variant_type])
Parse the variant id for a variant variant_id is used to identify variants within a certain type of analysis. It is not human readable since it is a md5 key. Args: chrom(str) pos(str) ref(str) alt(str) variant_type(str): 'clinical' or 'research' Returns: ...
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def ucc_circuit(theta): generator = sX(0) * sY(1) initial_prog = Program().inst(X(1), X(0)) program = initial_prog + exponentiate(float(theta) * generator) return program
Implements exp(-i theta X_{0}Y_{1}) :param theta: rotation parameter :return: pyquil.Program
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def add_func_edges(dsp, fun_id, nodes_bunch, edge_weights=None, input=True, data_nodes=None): add_edge = _add_edge_dmap_fun(dsp.dmap, edge_weights) node, add_data = dsp.dmap.nodes, dsp.add_data remove_nodes = dsp.dmap.remove_nodes_from msg = % [, ][input] i, j = ...
Adds function node edges. :param dsp: A dispatcher that identifies the model adopted. :type dsp: schedula.Dispatcher :param fun_id: Function node id. :type fun_id: str :param nodes_bunch: A container of nodes which will be iterated through once. :type nodes_bunch: iter...
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def _insert_lcl_level(pressure, temperature, lcl_pressure): interp_temp = interpolate_1d(lcl_pressure, pressure, temperature) loc = pressure.size - pressure[::-1].searchsorted(lcl_pressure) return np.insert(temperature.m, loc, interp_temp.m) * temperature.units
Insert the LCL pressure into the profile.
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def instantiate(self, **extra_args): input_block = self.input_block.instantiate() backbone = self.backbone.instantiate(**extra_args) return StochasticPolicyModel(input_block, backbone, extra_args[])
Instantiate the model
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def iterstruct(self): from rowgenerators.rowpipe.json import add_to_struct json_headers = self.json_headers for row in islice(self, 1, None): d = {} for pos, jh in json_headers: add_to_struct(d, jh, row[pos]) yield d
Yield data structures built from the JSON header specifications in a table
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def channel2int(channel): if channel is None: return None if isinstance(channel, int): return channel if hasattr(channel, "lower"): match = re.match(r, channel) if match: return int(match.group(1)) return None
Try to convert the channel to an integer. :param channel: Channel string (e.g. can0, CAN1) or integer :returns: Channel integer or `None` if unsuccessful :rtype: int
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def z_axis_rotation(theta): R = np.array([[np.cos(theta), -np.sin(theta), 0], [np.sin(theta), np.cos(theta), 0], [0, 0, 1]]) return R
Generates a 3x3 rotation matrix for a rotation of angle theta about the z axis. Parameters ---------- theta : float amount to rotate, in radians Returns ------- :obj:`numpy.ndarray` of float A random 3x3 rotation matrix.
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def parsemeta(metadataloc): if os.path.isdir(metadataloc): metalist = glob.glob(os.path.join(metadataloc, METAPATTERN)) if not metalist: raise MTLParseError( "No files matching metadata file pattern in directory %s." % metadataloc) elif ...
Parses the metadata from a Landsat image bundle. Arguments: metadataloc: a filename or a directory. Returns metadata dictionary
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def get_file_language(self, file): for language in self.__languages: if re.search(language.extensions, file): LOGGER.debug("> file detected language: .".format(file, language.name)) return language
Returns the language of given file. :param file: File to get language of. :type file: unicode :return: File language. :rtype: Language
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def set_col_width(self, col, tab, width): try: old_width = self.col_widths.pop((col, tab)) except KeyError: old_width = None if width is not None: self.col_widths[(col, tab)] = float(width)
Sets column width
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def _set_and_filter(self): fmtos = [] seen = set() for key in self._force: self._registered_updates.setdefault(key, getattr(self, key).value) for key, value in chain( six.iteritems(self._registered_updates), six.iteritems( ...
Filters the registered updates and sort out what is not needed This method filters out the formatoptions that have not changed, sets the new value and returns an iterable that is sorted by the priority (highest priority comes first) and dependencies Returns ------- list...
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def get_or_create(cls, name): obj = cls.query.filter_by(name=name).one_or_none() if obj: return obj try: with session.begin_nested(): obj = cls(name=name) session.add(obj) session.flush() return obj ...
Return the instance of the class with the specified name. If it doesn't already exist, create it.
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def _set_motion_detection(self, enable): url = ( ) % self.root_url enabled = self._motion_detection_xml.find(self.element_query()) if enabled is None: _LOGGING.error("CouldnenabledXML: %struefalseUnable to set MotionDetection, error: %sAuthentication failedt ...
Set desired motion detection state on camera
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def page_missing(request, page_name, revision_requested, protected=False): return Response( generate_template( "page_missing.html", page_name=page_name, revision_requested=revision_requested, protected=protected, ), status=404, )
Displayed if page or revision does not exist.
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def load_ensembl_coverage(cohort, coverage_path, min_tumor_depth, min_normal_depth=0, pageant_dir_fn=None): if pageant_dir_fn is None: pageant_dir_fn = lambda patient: patient.id columns_both = [ "depth1", "depth2", "onBP1", "onBP2",...
Load in Pageant CoverageDepth results with Ensembl loci. coverage_path is a path to Pageant CoverageDepth output directory, with one subdirectory per patient and a `cdf.csv` file inside each patient subdir. If min_normal_depth is 0, calculate tumor coverage. Otherwise, calculate join tumor/normal cove...
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def Match(self, artifact=None, os_name=None, cpe=None, label=None): return [ c for c in self.conditions if c.Match(artifact, os_name, cpe, label) ]
Test if host data should trigger a check. Args: artifact: An artifact name. os_name: An OS string. cpe: A CPE string. label: A label string. Returns: A list of conditions that match.
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def export(self, filepath, encoding="utf-8", gzipped=True): data = json.dumps(self.word_frequency.dictionary, sort_keys=True) write_file(filepath, encoding, gzipped, data)
Export the word frequency list for import in the future Args: filepath (str): The filepath to the exported dictionary encoding (str): The encoding of the resulting output gzipped (bool): Whether to gzip the dictionary or not
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def app_versions(self): if not self._app_versions: app_versions_url = self._build_url() response = self._request(, app_versions_url) if response.status_code == requests.codes.not_found: self._app_versions = [] elif response.status_code =...
List of the versions of the internal KE-chain 'app' modules.
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def update_progress(opts, progress, progress_iter, out): try: progress_outputter = salt.loader.outputters(opts)[out] except KeyError: log.warning() return False progress_outputter(progress, progress_iter)
Update the progress iterator for the given outputter
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def summed_probabilities(self, choosers, alternatives): if len(alternatives) == 0 or len(choosers) == 0: return pd.Series() logger.debug( .format( self.name)) probs = [] for name, df in self._iter_groups(choosers): probs.appe...
Returns the sum of probabilities for alternatives across all chooser segments. Parameters ---------- choosers : pandas.DataFrame Table describing the agents making choices, e.g. households. Must have a column matching the .segmentation_col attribute. alte...
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def vsound(H): T = temperature(H) a = np.sqrt(gamma * R * T) return a
Speed of sound
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def open_tablebase(directory: PathLike, *, libgtb: Any = None, LibraryLoader: Any = ctypes.cdll) -> Union[NativeTablebase, PythonTablebase]: try: if LibraryLoader: return open_tablebase_native(directory, libgtb=libgtb, LibraryLoader=LibraryLoader) except (OSError, RuntimeError) as err: ...
Opens a collection of tables for probing. First native access via the shared library libgtb is tried. You can optionally provide a specific library name or a library loader. The shared library has global state and caches, so only one instance can be open at a time. Second, pure Python probing code...
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def get_phonetic_info(self, lang): phonetic_data = self.all_phonetic_data if lang != LC_TA else self.tamil_phonetic_data phonetic_vectors = self.all_phonetic_vectors if lang != LC_TA else self.tamil_phonetic_vectors return phonetic_data, phonetic_vectors
For a specified language (lang), it returns the matrix and the vecto containing specifications of the characters.
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def keys_to_datetime(obj, *keys): if not keys: return obj for k in keys: if k not in obj: continue v = obj[k] if not isinstance(v, string_types): continue obj[k] = parse_datetime(v) return obj
Converts all the keys in an object to DateTime instances. Args: obj (dict): the JSON-like ``dict`` object to modify inplace. keys (str): keys of the object being converted into DateTime instances. Returns: dict: ``obj`` inplace. >>> keys_to_...
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def get_ready_user_tasks(self): return [t for t in self.get_tasks(Task.READY) if not self._is_engine_task(t.task_spec)]
Returns a list of User Tasks that are READY for user action
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def create_shepherd_tour(self, name=None, theme=None): shepherd_theme = "shepherd-theme-arrows" if theme: if theme.lower() == "default": shepherd_theme = "shepherd-theme-default" elif theme.lower() == "dark": shepherd_theme = "shepherd-th...
Creates a Shepherd JS website tour. @Params name - If creating multiple tours at the same time, use this to select the tour you wish to add steps to. theme - Sets the default theme for the tour. Choose from "light"/"arrows", "dark", "default", "...
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def loc_info(text, index): if index > len(text): raise ValueError() line, last_ln = text.count(, 0, index), text.rfind(, 0, index) col = index - (last_ln + 1) return (line, col)
Location of `index` in source code `text`.
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def enqueue(self, message, *, delay=None): queue_name = message.queue_name message = message.copy(options={ "redis_message_id": str(uuid4()), }) if delay is not None: queue_name = dq_name(queue_name) message_eta = ...
Enqueue a message. Parameters: message(Message): The message to enqueue. delay(int): The minimum amount of time, in milliseconds, to delay the message by. Must be less than 7 days. Raises: ValueError: If ``delay`` is longer than 7 days.
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def pgrrec(body, lon, lat, alt, re, f): body = stypes.stringToCharP(body) lon = ctypes.c_double(lon) lat = ctypes.c_double(lat) alt = ctypes.c_double(alt) re = ctypes.c_double(re) f = ctypes.c_double(f) rectan = stypes.emptyDoubleVector(3) libspice.pgrrec_c(body, lon, lat, alt, re, ...
Convert planetographic coordinates to rectangular coordinates. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/pgrrec_c.html :param body: Body with which coordinate system is associated. :type body: str :param lon: Planetographic longitude of a point (radians). :type lon: float :param ...
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def from_collection_xml(cls, xml_content): xml_dataset = xmltodict.parse(xml_content, process_namespaces=False) return cls(xml_records)
Build a :class:`~zenodio.harvest.Datacite3Collection` from Datecite3-formatted XML. Users should use :func:`zenodio.harvest.harvest_collection` to build a :class:`~zenodio.harvest.Datacite3Collection` for a Community. Parameters ---------- xml_content : str ...
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def get_foldrate(seq, secstruct): seq = ssbio.protein.sequence.utils.cast_to_str(seq) url = values = {: seq, : secstruct} data = urlencode(values) data = data.encode() response = urlopen(url, data) result = str(response.read()) ind = str.find(result, ) result2 = result[ind:...
Submit sequence and structural class to FOLD-RATE calculator (http://www.iitm.ac.in/bioinfo/fold-rate/) to calculate kinetic folding rate. Args: seq (str, Seq, SeqRecord): Amino acid sequence secstruct (str): Structural class: `all-alpha``, ``all-beta``, ``mixed``, or ``unknown`` Returns: ...
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def widths_in_range_mm( self, minwidth=EMIR_MINIMUM_SLITLET_WIDTH_MM, maxwidth=EMIR_MAXIMUM_SLITLET_WIDTH_MM ): list_ok = [] for i in range(EMIR_NBARS): slitlet_ok = minwidth <= self._csu_bar_slit_width[i] <= maxwidth if slitlet_o...
Return list of slitlets which width is within given range Parameters ---------- minwidth : float Minimum slit width (mm). maxwidth : float Maximum slit width (mm). Returns ------- list_ok : list List of booleans indicating whe...
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def calc_freefree_kappa(ne, t, hz): return 9.78e-3 * ne**2 * hz**-2 * t**-1.5 * (24.5 + np.log(t) - np.log(hz))
Dulk (1985) eq 20, assuming pure hydrogen.
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def _get_button_attrs(self, tool): attrs = getattr(tool, , {}) if in attrs: attrs.pop() if in attrs: attrs.pop() default_attrs = { : attrs.get(, ), : getattr(tool, , ), } standa...
Get the HTML attributes associated with a tool. There are some standard attributes (class and title) that the template will always want. Any number of additional attributes can be specified and passed on. This is kinda awkward and due for a refactor for readability.
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def check_ip(ip, log=False): if log: print(.format(ip)) request_timeout = 0.1 try: tv_url = .format(ip) request = requests.get(tv_url, timeout=request_timeout) except requests.exceptions.ConnectTimeout: return False ...
Attempts a connection to the TV and checks if there really is a TV.
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def _reproject(wcs1, wcs2): import gwcs forward_origin = [] if isinstance(wcs1, fitswcs.WCS): forward = wcs1.all_pix2world forward_origin = [0] elif isinstance(wcs2, gwcs.wcs.WCS): forward = wcs1.forward_transform else: r...
Perform the forward transformation of ``wcs1`` followed by the inverse transformation of ``wcs2``. Parameters ---------- wcs1, wcs2 : `~astropy.wcs.WCS` or `~gwcs.wcs.WCS` The WCS objects. Returns ------- result : func Function to compute...
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def broadcast(self, msg): if getattr(msg, , False): for m in msg: self._send( % self._escape(str(m))) else: self._send( % self._escape(str(msg)))
Broadcasts msg to Scratch. msg can be a single message or an iterable (list, tuple, set, generator, etc.) of messages.
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def search_windows( self, winname=None, winclass=None, winclassname=None, pid=None, only_visible=False, screen=None, require=False, searchmask=0, desktop=None, limit=0, max_depth=-1): windowlist_ret = ctypes.pointer(window_t(0)) nwindows_ret = ctypes.c_uint(0...
Search for windows. :param winname: Regexp to be matched against window name :param winclass: Regexp to be matched against window class :param winclassname: Regexp to be matched against window class name :param pid: Only return windows fro...
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def sparse_dot_product_attention(q, k, v, bi, use_map_fn, experts_params): batch_size, nb_heads, _, depth = common_layers.shape_list(q) @expert_utils.add_name_scope() def flatten_first_dims(x): if x.get_shape().as_list()[0] == 1: return tf.squeeze(x, axis=0) x = tf.transpose(x, p...
Sparse multihead self attention. Perform an approximation of the full multihead attention by dispatching the tokens using their keys/values. Thus the attention matrix are only computed each times on a subset of the tokens. Notes: * The function don't perform scaling here (multihead_attention does the /sq...
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def _set_ccm_interval(self, v, load=False): if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_type="dict_key", restriction_arg={u: {: 3}, u: {: 60000}, ...
Setter method for ccm_interval, mapped from YANG variable /cfm_state/cfm_detail/domain/ma/ccm_interval (ccm-intervals) If this variable is read-only (config: false) in the source YANG file, then _set_ccm_interval is considered as a private method. Backends looking to populate this variable should do so ...
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def _get_dataset_showcase_dict(self, showcase): if isinstance(showcase, hdx.data.showcase.Showcase) or isinstance(showcase, dict): if not in showcase: showcase = hdx.data.showcase.Showcase.read_from_hdx(showcase[]) showcase = showcase[] elif not...
Get dataset showcase dict Args: showcase (Union[Showcase,Dict,str]): Either a showcase id or Showcase metadata from a Showcase object or dictionary Returns: dict: dataset showcase dict
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def load(self, buf = None): if self.password is None and self.keyfile is None: raise KPError() elif self.filepath is None and buf is None: raise KPError() if buf is None: buf = self.read_buf() header = buf[:124] ...
This method opens an existing database. self.password/self.keyfile and self.filepath must be set.
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def create_form_data(self, **kwargs): children = kwargs.get(, []) sort_order = kwargs.get(, None) solr_response = kwargs.get(, None) superuser = kwargs.get(, False) vocabularies = self.get_vocabularies() for element in children: ...
Create groupings of form elements.
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def create(self, healthCheckNotification, instance, ipAddressResourceId, name, notificationContacts, rules, loadBalancerClassOfServiceID=1, *args, **kwargs): response = self._call(method=SetEnqueueLoadBalancerCreation, healthCheckNotification=healthCheckNoti...
:type healthCheckNotification: bool :type instance: list[Instance] :type ipAddressResourceId: list[int] :type loadBalancerClassOfServiceID: int :type name: str :type notificationContacts: NotificationContacts or list[NotificationContact] :type rules: Rules :param ...
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def fromXml(xml): slide = XWalkthroughSlide(**xml.attrib) for xgraphic in xml: slide.addItem(XWalkthroughItem.fromXml(xgraphic)) return slide
Creates a new slide from XML. :return <XWalkthroughSlide>
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def ndwi(self): data = self._read(self[self._ndwi_bands,...]).astype(np.float32) return (data[1,:,:] - data[0,:,:]) / (data[0,:,:] + data[1,:,:])
Calculates Normalized Difference Water Index using Coastal and NIR2 bands for WV02, WV03. For Landsat8 and sentinel2 calculated by using Green and NIR bands. Returns: numpy array of ndwi values
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def sha1_hexdigest(self): if self._sha1_hexdigest is None: self._sha1_hexdigest = hashlib.sha1(self._pem_bytes).hexdigest() return self._sha1_hexdigest
A SHA-1 digest of the whole object for easy differentiation. .. versionadded:: 18.1.0
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def get_abi_size(self, target_data, context=None): llty = self._get_ll_pointer_type(target_data, context) return target_data.get_pointee_abi_size(llty)
Get the ABI size of this type according to data layout *target_data*.
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def conv_block(inputs, filters, dilation_rates_and_kernel_sizes, **kwargs): return conv_block_internal(conv, inputs, filters, dilation_rates_and_kernel_sizes, **kwargs)
A block of standard 2d convolutions.
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def context_spec(self): from harpoon.option_spec import image_objs return dict_from_bool_spec(lambda meta, val: {"enabled": val} , create_spec(image_objs.Context , validators.deprecated_key("use_git_timestamps", "Since docker 1.8, timestamps no longer invalidate the ...
Spec for specifying context options
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def merge_results(x, y): z = x.copy() for key, value in y.items(): if isinstance(value, list) and isinstance(z.get(key), list): z[key] += value else: z[key] = value return z
Given two dicts, x and y, merge them into a new dict as a shallow copy. The result only differs from `x.update(y)` in the way that it handles list values when both x and y have list values for the same key. In which case the returned dictionary, z, has a value according to: z[key] = x[key] + z[key] ...
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def _get_variables(self) -> Dict[str, str]: variables = {} for group in self.groups: setting_variables = self._read_group_variables(group) variables.update(setting_variables) return variables
Gets the variables that should be set for this project. :return: the variables
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def _get_option(config, supplement, section, option, fallback=None): if supplement: return_value = supplement.get(section, option, fallback=config.get(section, option, fallback=fallback)) else: return_value = config.get(section, option, fallback=fallback) if fal...
Reads an option for a configuration file. :param configparser.ConfigParser config: The main config file. :param configparser.ConfigParser supplement: The supplement config file. :param str section: The name of the section op the option. :param str option: The name of the option. ...
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def runInParallel(*fns): proc = [] for fn in fns: p = Process(target=fn) p.start() proc.append(p) for p in proc: p.join()
Runs multiple processes in parallel. :type: fns: def
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def age_to_BP(age, age_unit): ageBP = -1e9 if age_unit == "Years AD (+/-)" or age_unit == "Years Cal AD (+/-)": if age < 0: age = age+1 ageBP = 1950-age elif age_unit == "Years BP" or age_unit == "Years Cal BP": ageBP = age elif age_unit == "ka": ageBP ...
Convert an age value into the equivalent in time Before Present(BP) where Present is 1950 Returns --------- ageBP : number
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def trace_plot(precisions, path, n_edges=20, ground_truth=None, edges=[]): _check_path(path) assert len(path) == len(precisions) assert len(precisions) > 0 path = np.array(path) dim, _ = precisions[0].shape if not edges: base_precision = np.copy(precisions[-1]) base_p...
Plot the change in precision (or covariance) coefficients as a function of changing lambda and l1-norm. Always ignores diagonals. Parameters ----------- precisions : array of len(path) 2D ndarray, shape (n_features, n_features) This is either precision_ or covariance_ from an InverseCovariance...
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def error(self, msg=, exit=None): def handler(exc): if msg: self.perr(msg.format(err=exc)) if exit is not None: self.quit(exit) return handler
Error handler factory This function takes a message with optional ``{err}`` placeholder and returns a function that takes an exception object, prints the error message to STDERR and optionally quits. If no message is supplied (e.g., passing ``None`` or ``False`` or empty string...
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def hub_virtual_network_connections(self): api_version = self._get_api_version() if api_version == : from .v2018_04_01.operations import HubVirtualNetworkConnectionsOperations as OperationClass else: raise NotImplementedError("APIVersion {} is not available".form...
Instance depends on the API version: * 2018-04-01: :class:`HubVirtualNetworkConnectionsOperations<azure.mgmt.network.v2018_04_01.operations.HubVirtualNetworkConnectionsOperations>`
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def load_yaml(yaml_file: str) -> Any: with open(yaml_file, ) as file: return ruamel.yaml.load(file, ruamel.yaml.RoundTripLoader)
Load YAML from file. :param yaml_file: path to YAML file :return: content of the YAML as dict/list
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def post(self, command, data=None): now = calendar.timegm(datetime.datetime.now().timetuple()) if now > self.expiration: auth = self.__open("/oauth/token", data=self.oauth) self.__sethead(auth[]) return self.__open("%s%s" % (self.api, command), ...
Post data to API.
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def from_domain(cls, domain, version=None, require_https=True): url = + domain + try: return cls.from_url(url, version=version, require_https=require_https) except MissingHive: url = + domain + return cls.from_url(url, version=version, require_htt...
Try to find a hive for the given domain; raise an error if we have to failover to HTTP and haven't explicitly suppressed it in the call.
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def search_feature_sets(self, dataset_id): request = protocol.SearchFeatureSetsRequest() request.dataset_id = dataset_id request.page_size = pb.int(self._page_size) return self._run_search_request( request, "featuresets", protocol.SearchFeatureSetsResponse)
Returns an iterator over the FeatureSets fulfilling the specified conditions from the specified Dataset. :param str dataset_id: The ID of the :class:`ga4gh.protocol.Dataset` of interest. :return: An iterator over the :class:`ga4gh.protocol.FeatureSet` objects defined by ...
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def check_files(cls, dap): problems = list() dirname = os.path.dirname(dap._meta_location) if dirname: dirname += files = [f for f in dap.files if f.startswith(dirname)] if len(files) == 1: msg = problems.append(DapProblem(msg, leve...
Check that there are only those files the standard accepts. Return list of DapProblems.
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def _boxFromData(self, messageData): inputBoxes = parseString(messageData) if not len(inputBoxes) == 1: raise MalformedMessage() [inputBox] = inputBoxes return inputBox
A box. @param messageData: a serialized AMP box representing either a message or an error. @type messageData: L{str} @raise MalformedMessage: if the C{messageData} parameter does not parse to exactly one AMP box.
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def show(i): import os o=i.get(,) curdir=os.getcwd() duoa=i.get(,) reset=i.get(,) stable=i.get(,) version=i.get(,) if stable==: version= r=ck.list_data({:work[], :duoa}) if r[]>0: return r if o==: ck.out() ck.out() r=ck.rel...
Input: { (data_uoa) - repo UOA (reset) - if 'yes', reset repos (stable) - take stable version (highly experimental) (version) - checkout version (default - stable) } Output: { return - return code = 0, if successful ...
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def organization_memberships(self, user): return self._query_zendesk(self.endpoint.organization_memberships, , id=user)
Retrieve the organization memberships for this user. :param user: User object or id
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def image_export(self, image_name, dest_url, remote_host=None): try: return self._imageops.image_export(image_name, dest_url, remote_host) except exception.SDKBaseException: LOG.error("Failed to export image " % image_name) ...
Export the image to the specified location :param image_name: image name that can be uniquely identify an image :param dest_url: the location of exported image, eg. file:///opt/images/export.img, now only support export to remote server or local server's file system :param remote...