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def get_app_data(app_id): try: conn = get_conn() c = conn.cursor() c.execute("SELECT id,name,app_data FROM app WHERE id= ".format(app_id)) result = c.fetchone() conn.close() if result: appname = result[1] app_data = utils.str2dict( base64...
get app data ( include name and app_data )
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def find_parents(self): for i in range(len(self.vertices)): self.vertices[i].parents = [] for i in range(len(self.vertices)): for child in self.vertices[i].children: if i not in self.vertices[child].parents: self.vertices[child].parent...
Take a tree and set the parents according to the children Takes a tree structure which lists the children of each vertex and computes the parents for each vertex and places them in.
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def _configuration(self, kwargs, config_item): if not in config_item: if not in kwargs: return nc = kwargs[] = {} for field in Resource.configuration[kwargs[]]: if field not in config_item: raise exc.TowerCLIError...
Combine configuration-related keyworded arguments into notification_configuration.
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def read_env(cls, env_file=None, **overrides): if env_file is None: frame = sys._getframe() env_file = os.path.join(os.path.dirname(frame.f_back.f_code.co_filename), ) if not os.path.exists(env_file): warnings.warn( "%s doesnre not...
Read a .env file into os.environ. If not given a path to a dotenv path, does filthy magic stack backtracking to find manage.py and then find the dotenv. http://www.wellfireinteractive.com/blog/easier-12-factor-django/ https://gist.github.com/bennylope/2999704
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def run(self): loop = GLib.MainLoop() context = loop.get_context() while True: time.sleep(0.1) if context.pending(): context.iteration() self._manager[ATTR_POSITION] = self._position() try: method, args ...
Run the process. Iterate the GLib main loop and process the task queue.
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def init_app(self, app): self.app = app if not hasattr(app, ): app.extensions = {} app.extensions[] = self self.reload()
Initialize this Flask extension for given app.
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def python(source): r obj = type(, (object,), {})() _exec(source, obj.__dict__, obj.__dict__) return obj
r""" >>> python('def add(a, b): return a + b').add(40, 2) 42
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def grains_dict(self): d = {grain.duration: grain for grain in self.grains()} d.update({grain.label: grain for grain in self.grains()}) return d
Allowing to lookup grain by either label or duration For backward compatibility
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def update_metric_tags(self, metric_type, metric_id, **tags): self._put(self._get_metrics_tags_url(self._get_metrics_single_url(metric_type, metric_id)), tags, parse_json=False)
Replace the metric_id's tags with given **tags :param metric_type: MetricType to be matched (required) :param metric_id: Exact string matching metric id :param tags: Updated key/value tag values of the metric
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def _setup_output_file(self, output_filename, args, write_header=True): try: output_file = open(output_filename, ) except IOError as e: sys.exit(e) if write_header: output_file.write(.join(map(util.escape_string_shell, self._build_...
Open and prepare output file.
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def run_config_diagnostics(config_path=CONFIG_PATH): config = read_config(config_path) missing_sections = set() malformed_entries = defaultdict(set) for section, expected_section_keys in SECTION_KEYS.items(): section_content = config.get(section) if not section_content: ...
Run diagnostics on the configuration file. Args: config_path (str): Path to the configuration file. Returns: str, Set[str], dict(str, Set[str]): The path to the configuration file, a set of missing sections and a dict that maps each section to the entries that have either missing or emp...
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def handle_document_error(self, item_session: ItemSession) -> Actions: self._waiter.increment() self._statistics.errors[ServerError] += 1 action = self.handle_response(item_session) if action == Actions.NORMAL: item_session.set_status(Status.error) return...
Callback for when the document only describes an server error. Returns: A value from :class:`.hook.Actions`.
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def handle_result(self, idents, parent, raw_msg, success=True): engine = idents[0] client = idents[1] raw_msg[:2] = [client,engine] self.client_stream.send_multipart(raw_msg, copy=False) msg_id = parent[] self.pending[engine].p...
handle a real task result, either success or failure
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def plot_histogram(self, filename=None): header, data = self.read_next_data_block() data = data.view() plt.figure("Histogram") plt.hist(data.flatten(), 65, facecolor=) if filename: plt.savefig(filename) plt.show()
Plot a histogram of data values
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def _fill_syns(self, new_syns, rpacketlists_per_worker): logger.debug("rank:{}/{} {}._fill_syns".format(mpi.myrank, mpi.nprocs, self.__class__.__name__)) for packetlists in rpacketlists_per_worker: for packetlist in packetlists: ...
rpacket_per_worker is a list of packetlists as returned by _run_chunk
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def inline(text, data=None): if not data: data = text.encode() elif not isinstance(data, (bytes, bytearray, memoryview)): data = str(data).encode() if len(data) > 64: raise ValueError() return types.KeyboardButtonCallback(text, data)
Creates a new inline button. If `data` is omitted, the given `text` will be used as `data`. In any case `data` should be either ``bytes`` or ``str``. Note that the given `data` must be less or equal to 64 bytes. If more than 64 bytes are passed as data, ``ValueError`` is raised.
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def error(self, fail=True, action=): e = if action: e = % (action, e) log.error(e) if fail: raise IOError(e)
SHOULD BE PRIVATE METHOD
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def best_diff(img1, img2, opts): w1, h1 = img1.size w2, h2 = img2.size w, h = min(w1, w2), min(h1, h2) best = None best_value = 255 * w * h + 1 xr = abs(w1 - w2) + 1 yr = abs(h1 - h2) + 1 p = Progress(xr * yr, timeout=opts.timeout) for x in range(xr): if w1 > w2: ...
Find the best alignment of two images that minimizes the differences. Returns (diff, alignments) where ``diff`` is a difference map, and ``alignments`` is a tuple ((x1, y2), (x2, y2)). See ``diff()`` for the description of the alignment numbers.
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def exciter(self, Xexc, Pexc, Vexc): exciters = self.exciters F = zeros(Xexc.shape) typ1 = [e.generator._i for e in exciters if e.model ==CONST_EXCITATION] typ2 = [e.generator._i for e in exciters if e.model == IEEE_DC1A] F[typ1, :] = 0.0 Ef...
Exciter model. Based on Exciter.m from MatDyn by Stijn Cole, developed at Katholieke Universiteit Leuven. See U{http://www.esat.kuleuven.be/electa/teaching/ matdyn/} for more information.
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def build_network(self, network=None, *args, **kwargs): self.network = network return network
Core method to construct PyPSA Network object.
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def random_box(molecules, total=None, proportions=None, size=[1.,1.,1.], maxtries=100): if proportions is None: proportions = np.ones(len(molecules)) / len(molecules) else: proportions = np.array(proportions) size = np.array(size) tree = CoverTree(metric="periodi...
Create a System made of a series of random molecules. Parameters: total: molecules: proportions:
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def resolve_any_xref(self, env, fromdocname, builder, target, node, contnode): prefix = node.get() results = [] match = self.find_obj(env, prefix, target, None, 1) if match is not None: (name, obj) = match results.append(( + self...
Look for any references, without object type This always searches in "refspecific" mode
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def PwDecrypt(self, password): buf = password pw = six.b() last = self.authenticator while buf: hash = md5_constructor(self.secret + last).digest() if six.PY3: for i in range(16): pw += bytes((hash[i] ^ buf[i],)) ...
Unobfuscate a RADIUS password. RADIUS hides passwords in packets by using an algorithm based on the MD5 hash of the packet authenticator and RADIUS secret. This function reverses the obfuscation process. :param password: obfuscated form of password :type password: binary string ...
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def create(cls, name, ne_ref=None, operator=, sub_expression=None, comment=None): sub_expression = [] if sub_expression is None else [sub_expression] json = {: name, : operator, : ne_ref, : sub_expression, : comment}...
Create the expression :param str name: name of expression :param list ne_ref: network element references for expression :param str operator: 'exclusion' (negation), 'union', 'intersection' (default: exclusion) :param dict sub_expression: sub expression used :param...
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def get_corpus(self): corpus = [] cd = 0 tag = None for i in range(0, self.init_corpus[0][0]): init_unit = self.unit_raw[self.init_corpus[0][0] - i] cdm = CDM(init_unit) alpha = cdm.get_alpha() if cd <= self.cd_min and c...
获取语料库 Return: corpus -- 语料库,str类型
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def get_working_login(self, database, username=None, password=None): login_user = None self.get_db(database, username=username, password=password, never_auth_with_admin=True) login_user = self.get_login_user(database) if login_user: u...
authenticate to the specified database starting with specified username/password (if present), try to return a successful login within 3 attempts
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def reboot_autopilot(self, hold_in_bootloader=False): if self.mavlink10(): if hold_in_bootloader: param1 = 3 else: param1 = 1 self.mav.command_long_send(self.target_system, self.target_component, ...
reboot the autopilot
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def create_session(docker_image=None, docker_rm=None, echo=False, loglevel=, nocolor=False, session_type=, vagrant_session_name=None, vagrant_image=, vagrant_gui=False,...
Creates a distinct ShutIt session. Sessions can be of type: bash - a bash shell is spawned and vagrant - a Vagrantfile is created and 'vagrant up'ped
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def _ip_int_from_string(self, ip_str): parts = ip_str.split() if len(parts) < 3: raise AddressValueError(ip_str) if in parts[-1]: ipv4_int = IPv4Address(parts.pop())._ip parts.append( % ((ipv4_int >> 16) & 0xFFFF)) par...
Turn an IPv6 ip_str into an integer. Args: ip_str: A string, the IPv6 ip_str. Returns: A long, the IPv6 ip_str. Raises: AddressValueError: if ip_str isn't a valid IPv6 Address.
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def write_graph(self, filename): f = open(filename, ) f.write(self._get_graphviz_data()) f.close()
Write raw graph data which can be post-processed using graphviz.
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def to_timedelta(value, strict=True): if isinstance(value, int): return timedelta(seconds=value) value, type(value).__name__ ) ) return timedelta(hours=hours, minutes=minutes, seconds=seconds)
converts duration string to timedelta strict=True (by default) raises StrictnessError if either hours, minutes or seconds in duration string exceed allowed values
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def acceptNavigationRequest(self, url, navigation_type, isMainFrame): if navigation_type == QWebEnginePage.NavigationTypeLinkClicked: self.linkClicked.emit(url) return False return True
Overloaded method to handle links ourselves
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def serialize(self, o): if isinstance(o, (list, tuple)): return [self.serialize(i) for i in o] if isinstance(o, dict): return {k: self.serialize(v) for k, v in o.items()} if isinstance(o, datetime): return o.isoformat() if isinstance(o, Result...
Returns a safe serializable object that can be serialized into JSON. @param o Python object to serialize
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def timeout(timeout_time, default): def timeout_function(f): def f2(*args): def timeout_handler(signum, frame): raise MethodTimer.DecoratorTimeout() old_handler = signal.signal(signal.SIGALRM, timeout_handler) ...
Decorate a method so it is required to execute in a given time period, or return a default value.
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def load_secret(self, secret): if isinstance(secret, pyhsm.aead_cmd.YHSM_YubiKeySecret): secret = secret.pack() return pyhsm.buffer_cmd.YHSM_Cmd_Buffer_Load(self.stick, secret).execute()
Ask YubiHSM to load a pre-existing YubiKey secret. The data is stored internally in the YubiHSM in temporary memory - this operation would typically be followed by one or more L{generate_aead} commands to actually retreive the generated secret (in encrypted form). @param secret: YubiKe...
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def output_file_job(job, filename, file_id, output_dir, s3_key_path=None): job.fileStore.logToMaster(.format(filename, output_dir)) work_dir = job.fileStore.getLocalTempDir() filepath = job.fileStore.readGlobalFile(file_id, os.path.join(work_dir, filename)) if urlparse(output_dir).scheme == : ...
Uploads a file from the FileStore to an output directory on the local filesystem or S3. :param JobFunctionWrappingJob job: passed automatically by Toil :param str filename: basename for file :param str file_id: FileStoreID :param str output_dir: Amazon S3 URL or local path :param str s3_key_path: (...
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def get_fit_failed_candidate_model(model_type, formula): warnings = [ EEMeterWarning( qualified_name="eemeter.caltrack_daily.{}.model_results".format(model_type), description=( "Error encountered in statsmodels.formula.api.ols method. (Empty data?)" )...
Return a Candidate model that indicates the fitting routine failed. Parameters ---------- model_type : :any:`str` Model type (e.g., ``'cdd_hdd'``). formula : :any:`float` The candidate model formula. Returns ------- candidate_model : :any:`eemeter.CalTRACKUsagePerDayCandida...
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def fetch_all_records(self): r api = self.doapi_manager return map(self._record, api.paginate(self.record_url, ))
r""" Returns a generator that yields all of the DNS records for the domain :rtype: generator of `DomainRecord`\ s :raises DOAPIError: if the API endpoint replies with an error
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def _initialize(self, funs_to_tally, length): chain = self.nchains self._chains[chain] = self._h5file.create_group( , % chain, % chain) for name, fun in six.iteritems(funs_to_tally): arr = np.asarray(fun()) assert arr.dtype != np.dtype() ...
Create a group named ``chain#`` to store all data for this chain.
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def set_type(self, value): if value not in self.types_available: log = "Sources field should be in one of %s" % ( self.types_available ) raise MalFormattedSource(log) self._type = value
Setter for type attribute
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def isdir(self, path): try: self.remote_context.check_output(["test", "-d", path]) except subprocess.CalledProcessError as e: if e.returncode == 1: return False else: raise return True
Return `True` if directory at `path` exist, False otherwise.
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def get_best_local_timezone(): zone_name = tzlocal.get_localzone().zone if zone_name in pytz.all_timezones: return zone_name if time.daylight: local_offset = time.altzone localtz = time.tzname[1] else: local_offset = time.timezone localtz = time.tzname[0] ...
Compares local timezone offset to pytz's timezone db, to determine a matching timezone name to use when TIME_ZONE is not set.
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def data_objet_class(data_mode=, time_mode=): classes_table = {(, ): GlobalValueObject, (, ): EventValueObject, (, ): SegmentValueObject, (, ): FrameValueObject, (, ): GlobalLabelObject, (, ): EventLabelObj...
Factory function for Analyzer result
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def unitary(self, obj, qubits, label=None): if isinstance(qubits, QuantumRegister): qubits = qubits[:] return self.append(UnitaryGate(obj, label=label), qubits, [])
Apply u2 to q.
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def _handle_dbproc_call(self, parts, parameters_metadata): for part in parts: if part.kind == part_kinds.ROWSAFFECTED: self.rowcount = part.values[0] elif part.kind == part_kinds.TRANSACTIONFLAGS: pass elif part.kind == part_kinds.STAT...
Handle reply messages from STORED PROCEDURE statements
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def get_scales(self, aesthetic): bool_lst = self.find(aesthetic) try: idx = bool_lst.index(True) return self[idx] except ValueError: return None
Return the scale for the aesthetic or None if there isn't one. These are the scales specified by the user e.g `ggplot() + scale_x_continuous()` or those added by default during the plot building process
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def javadoc_role(name, rawtext, text, lineno, inliner, options={}, content=[]): has_explicit_title, title, target = split_explicit_title(text) title = utils.unescape(title) target = utils.unescape(target) if not has_explicit_title: target = target.lstrip() if title[0] == : ...
Role for linking to external Javadoc
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def loadRule(rule_json_object): name = rule_json_object[] rule_type = rule_json_object[] validation_regex = None required = False removehtml = False include_end_regex = False strip_end_regex = None sub_rules = [] begin_stripe_id = None end_stripe_id = None begin_shift =...
Method to load the rules - when adding a new rule it must be added to the if statement within this method.
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def best_model(seq2hmm): for seq in seq2hmm: best = [] for model in seq2hmm[seq]: best.append([model, sorted([i[-1] for i in seq2hmm[seq][model]], reverse = True)[0]]) best_model = sorted(best, key = itemgetter(1), reverse = True)[0][0] seq2hmm[seq] = [best_model] + ...
determine the best model: archaea, bacteria, eukarya (best score)
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def get_used_entities(self,use_specs): if len(use_specs.strip()) == 0: return (self.pub_procs, self.pub_absints, self.pub_types, self.pub_vars) only = bool(self.ONLY_RE.match(use_specs)) use_specs = self.ONLY_RE.sub(,use_specs) ulist = self.SPLIT_RE.split(use_specs) ...
Returns the entities which are imported by a use statement. These are contained in dicts.
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def reset_object(self, driver_wrapper=None): from toolium.pageelements.page_elements import PageElements if driver_wrapper: self.driver_wrapper = driver_wrapper self._web_element = None for element in self._get_page_elements(): element.reset_object(driver...
Reset each page element object :param driver_wrapper: driver wrapper instance
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def plot_h(data, cols, wspace=.1, plot_kw=None, **kwargs): import matplotlib.pyplot as plt if plot_kw is None: plot_kw = [dict()] * len(cols) _, axes = plt.subplots(nrows=1, ncols=len(cols), **kwargs) plt.subplots_adjust(wspace=wspace) for n, col in enumerate(cols): data.loc[:, col].p...
Plot horizontally Args: data: DataFrame of data cols: columns to be plotted wspace: spacing between plots plot_kw: kwargs for each plot **kwargs: kwargs for the whole plot Returns: axes for plots Examples: >>> import pandas as pd >>> import ...
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def _compute_nfp_uniform(l, u, cum_counts, sizes): if l > u: raise ValueError("l must be less or equal to u") if l == 0: n = cum_counts[u] else: n = cum_counts[u]-cum_counts[l-1] return n * float(sizes[u] - sizes[l]) / float(2*sizes[u])
Computes the expected number of false positives caused by using u to approximate set sizes in the interval [l, u], assuming uniform distribution of set sizes within the interval. Args: l: the lower bound on set sizes. u: the upper bound on set sizes. cum_counts: the complete cummula...
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def disallow(nodes): def disallowed(cls): cls.unsupported_nodes = () for node in nodes: new_method = _node_not_implemented(node, cls) name = .format(node=node) cls.unsupported_nodes += (name,) setattr(cls, name, new_method) return cls ...
Decorator to disallow certain nodes from parsing. Raises a NotImplementedError instead. Returns ------- disallowed : callable
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def is_email_simple(value): if not in value or value.startswith() or value.endswith(): return False try: p1, p2 = value.split() except ValueError: return False if not in p2 or p2.startswith(): retur...
Return True if value looks like an email address.
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def right_join_where(self, table, one, operator, two): return self.join_where(table, one, operator, two, "right")
Add a "right join where" clause to the query :param table: The table to join with, can also be a JoinClause instance :type table: str or JoinClause :param one: The first column of the join condition :type one: str :param operator: The operator of the join condition :ty...
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def get_rt_data(self, code): if code is None or is_str(code) is False: error_str = ERROR_STR_PREFIX + "the type of param in code is wrong" return RET_ERROR, error_str query_processor = self._get_sync_query_processor( RtDataQuery.pack_req, RtDataQuery.unpack_...
获取指定股票的分时数据 :param code: 股票代码,例如,HK.00700,US.APPL :return: (ret, data) ret == RET_OK 返回pd dataframe数据,data.DataFrame数据, 数据列格式如下 ret != RET_OK 返回错误字符串 ===================== =========== ================================================================...
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def scale_cb(self, setting, value): zoomlevel = self.zoom.calc_level(value) self.t_.set(zoomlevel=zoomlevel) self.redraw(whence=0)
Handle callback related to image scaling.
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def lnprior(x): per, t0, b = x if b < -1 or b > 1: return -np.inf elif per < 7 or per > 10: return -np.inf elif t0 < 1978 or t0 > 1979: return -np.inf else: return 0.
Return the log prior given parameter vector `x`.
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def getNodeRefs(self): retn = [] for name, valu in self.props.items(): pobj = self.form.props.get(name) if isinstance(pobj.type, s_types.Ndef): retn.append((name, valu)) continue if self.snap.model.forms.get(pobj.type.name)...
Return a list of (prop, (form, valu)) refs out for the node.
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def addSubsumableToGroups(self, proteinIds, groupIds): for groupId in AUX.toList(groupIds): self.groups[groupId].addSubsumableProteins(proteinIds) self._addProteinIdsToGroupMapping(proteinIds, groupId)
Add one or multiple subsumable proteins to one or multiple protein groups. :param proteinIds: a proteinId or a list of proteinIds, a proteinId must be a string. :param groupIds: a groupId or a list of groupIds, a groupId must be a string.
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def _pop_api_call(self, method, _url, kwargs): call_queue = self._call_queue.setdefault(self._get_thread_id(), []) if not call_queue: self._pre_process_call(name= % (_url, method), endpoint_params=kwargs) return call_queue.pop...
This will initialize an api_call or pop one that has already been initialized with the endpoint parameters :param method: str of the html method ['GET','POST','PUT','DELETE'] :param _url: str of the sub url of the api call (ex. g/device/list) :param kwargs: dict of additional argume...
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def parent_ids(self): action = os.path.join(self.record_url, "parent_ids") res = requests.get(url=action, headers=HEADERS, verify=False) res.raise_for_status() return res.json()["biosamples"]
Returns an array of parent Biosample IDs. If the current Biosample has a part_of relationship, the Biosampled referenced there will be returned. Otherwise, if the current Biosample was generated from a pool of Biosamples (pooled_from_biosample_ids), then those will be returned. Otherwise, the re...
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def to_bytes(s, encoding="utf-8"): if isinstance(s, six.binary_type): return s else: return six.text_type(s).encode(encoding)
Converts the string to a bytes type, if not already. :s: the string to convert to bytes :returns: `str` on Python2 and `bytes` on Python3.
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def make_stats(data, perfile, fsamplehits, fbarhits, fmisses, fdbars): outhandle = os.path.join(data.dirs.fastqs, ) outfile = open(outhandle, ) outfile.write(.\ format("raw_file", "total_reads", "cut_found", "bar_matched")) r1names = sorted(perfile) for fname...
Write stats and stores to Assembly object.
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def delay(self, dl=0): if dl is None: time.sleep(self.dl) elif dl < 0: sys.stderr.write( "delay cannot less than zero, this takes no effects.\n") else: time.sleep(dl)
Delay for ``dl`` seconds.
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def set(self, *components): self.reset() if len(components) == 1: self.append(components[0]) else: for comp in components: self.append(comp)
Set the possible components of the block :param components: components to append Optionables or Composables
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def _read_metrics(repo, metrics, branch): res = {} for out, typ, xpath in metrics: assert out.scheme == "local" if not typ: typ = os.path.splitext(out.path.lower())[1].replace(".", "") if out.use_cache: open_fun = open path = repo.cache.local.get(...
Read the content of each metric file and format it. Args: metrics (list): List of metric touples branch (str): Branch to look up for metrics. Returns: A dict mapping keys with metrics path name and content. For example: {'metric.csv': ("value_mse deviation_mse data_...
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def tags_getrelated(tag): method = data = _doget(method, auth=False, tag=tag) if isinstance(data.rsp.tags.tag, list): return [tag.text for tag in data.rsp.tags.tag] else: return [data.rsp.tags.tag.text]
Gets the related tags for given tag.
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def AddArguments(cls, argument_group): argument_group.add_argument( , metavar=, dest=, type=str, default=, action=, help=( )) argument_group.add_argument( , , dest=, type=int, default=5, action=, help=( ...
Adds command line arguments to an argument group. This function takes an argument parser or an argument group object and adds to it all the command line arguments this helper supports. Args: argument_group (argparse._ArgumentGroup|argparse.ArgumentParser): argparse group.
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def transform(self, X, y=None, **params): data = numpy.dstack((numpy.array(X).T[0], range(len(X))))[0] phase, order = data[data[:,0].argsort()].T design_matrix = self.design_matrix(phase, self.degree) return design_matrix[order.argsort()]
Transforms *X* from phase-space to Fourier-space, returning the design matrix produced by :func:`Fourier.design_matrix` for input to a regressor. **Parameters** X : array-like, shape = [n_samples, 1] Column vector of phases. y : None, optional Unused arg...
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def precision_score(df, col_true=None, col_pred=, pos_label=1, average=None): r if not col_pred: col_pred = get_field_name_by_role(df, FieldRole.PREDICTED_CLASS) mat, label_list = _run_cm_node(df, col_true, col_pred) class_dict = dict((label, idx) for idx, label in enumerate(label_list)) tps...
r""" Compute precision of a predicted DataFrame. Precision is defined as :math:`\frac{TP}{TP + TN}` :Parameters: - **df** - predicted data frame - **col_true** - column name of true label - **col_pred** - column name of predicted label, 'prediction_result' by default. - **pos_la...
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async def trigger(self, event, kwargs): await self._queue.put((event, kwargs)) self._resume_processing.set()
Enqueue an event for processing
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def active_joined_organisations(doc): if doc.get() == and doc.get() != : for org_id, state in doc.get(, {}).items(): if state[] == : continue org = {: org_id} yield [doc[], None], org try: yield [doc[], state[]], org ...
View for getting organisations associated with a user
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def get_proteome_counts_impute_missing(prots_filtered_feathers, outpath, length_filter_pid=None, copynum_scale=False, copynum_df=None, force_rerun=False): if ssbio.utils.force_rerun(flag=force_rerun, outfile=outpath): big_str...
Get counts, uses the mean feature vector to fill in missing proteins for a strain
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def get_time_remaining_estimate(self): power_status = SYSTEM_POWER_STATUS() if not GetSystemPowerStatus(pointer(power_status)): raise WinError() if POWER_TYPE_MAP[power_status.ACLineStatus] == common.POWER_TYPE_AC: return common.TIME_REMAINING_UNLIMITED ...
Returns time remaining estimate according to GetSystemPowerStatus().BatteryLifeTime
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def _init_glyph(self, plot, mapping, properties): box = Span(level=properties.get(, ), **mapping) plot.renderers.append(box) return None, box
Returns a Bokeh glyph object.
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def convert(self, *args, **kwargs): self.strings() self.metadata() self.result.save(self.output())
Yes it is, thanks captain.
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def _prepare_value(val, maxlen=50, notype=False): if val is None or val is True or val is False: return str(val) sval = repr(val) sval = sval.replace("\n", " ").replace("\t", " ").replace("`", "'") if len(sval) > maxlen: sval = sval[:maxlen - 4] + "..." + sval[-1] if notype: ...
Stringify value `val`, ensuring that it is not too long.
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def _create_group_assignment(self, mesh_axes): partitioning = {} for logical_pnum in xrange(self.size): group = mtf.pnum_to_group(self.shape, mesh_axes, logical_pnum) if group not in partitioning: partitioning[group] = [] partitioning[group].append(self.l2p(logical_pnum)) gro...
Create group assignment for XLA cross replica ops (physical pnums).
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def show(self, baseAppInstance): self.from_dict_to_fields(self.configDict) super(ProjectConfigurationDialog, self).show(baseAppInstance)
Allows to show the widget as root window
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def share_column_widths(self, tables, shared_limit=None): for table in tables: record = (table, shared_limit) if not record in self.shared_tables and table is not self: self.shared_tables.append(record)
To have this table use sync with the columns in tables Note, this will need to be called on the other tables to be fully synced. :param tables: list of SeabornTables to share column widths :param shared_limit: int if diff is greater than this than ignore it. :return: None
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def get_location_observation(lat, lng, token): req = requests.get( API_ENDPOINT_GEO % (lat, lng), params={ : token }) if req.status_code == 200 and req.json()["status"] == "ok": return parse_observation_response(req.json()["data"]) return {}
Lookup observations by geo coordinates.
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def get_absolute_url_with_date(self): pub_date = self.published_on if pub_date and settings.USE_TZ: pub_date = make_naive(pub_date, pytz.utc) pub_date = pytz.timezone(settings.TIME_ZONE).localize(pub_date) if...
URL based on the entry's date & slug.
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def queryResponse(self, queryEngine, query=None, vendorSpecific=None, **kwargs): return self.GET( [, queryEngine, query], headers=vendorSpecific, query=kwargs )
CNRead.query(session, queryEngine, query) → OctetStream https://releases.dataone.org/online/api- documentation-v2.0.1/apis/CN_APIs.html#CNRead.query. Args: queryEngine: query: vendorSpecific: **kwargs: Returns:
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def draw_cloud_tree(self, axes=None, html=False, fixed_order=True, **kwargs): if not self.treelist: print("Treelist is empty") return None, None if not self.all_tips_shared: print("All trees in treelist do ...
Draw a series of trees overlapping each other in coordinate space. The order of tip_labels is fixed in cloud trees so that trees with discordant relationships can be seen in conflict. To change the tip order use the 'fixed_order' argument in toytree.mtree() when creating the MultiTree o...
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def warn_startup_with_shell_off(platform, gdb_args): darwin_match = re.match("darwin-(\d+)\..*", platform) on_darwin = darwin_match is not None and int(darwin_match.groups()[0]) >= 16 if on_darwin: shell_is_off = "startup-with-shell off" in gdb_args return not shell_is_off return Fa...
return True if user may need to turn shell off if mac OS version is 16 (sierra) or higher, may need to set shell off due to os's security requirements http://stackoverflow.com/questions/39702871/gdb-kind-of-doesnt-work-on-macos-sierra
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def lines_table(html_doc, tofloat=True): soup = BeautifulSoup(html_doc, "html.parser") linestables = [] elements = soup.p.next_elements for element in elements: tabletup = [] if not _has_name(element): continue if element.name == : beforetable = [] ...
return a list of [(lines, table), .....] lines = all the significant lines before the table. These are lines between this table and the previous table or 'hr' tag table = rows -> [[cell1, cell2, ..], [cell1, cell2, ..], ..] The lines act as a description for what is in the table
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def getInstance(self, aLocation, axisOnly=False, getFactors=False): self._collectAxisPoints() factors = self.getFactors(aLocation, axisOnly) total = None for f, item, name in factors: if total is None: total = f * item continue ...
Calculate the delta at aLocation. * aLocation: a Location object, expected to be in bent space * axisOnly: * True: calculate an instance only with the on-axis masters. * False: calculate an instance with on-axis and off-axis masters. * getFa...
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def stop_threadsafe(self): if self.stopped: return try: self._loop.run_coroutine(self.stop()) except asyncio.TimeoutError: raise TimeoutExpiredError("Timeout stopping task {} with {} subtasks".format(self.name, len(self.subtasks)))
Stop this task from another thread and wait for it to finish. This method must not be called from within the BackgroundEventLoop but will inject self.stop() into the event loop and block until it returns. Raises: TimeoutExpiredError: If the task does not stop in the given ...
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def render_customizations(self): disable_plugins = self.pt.customize_conf.get(, []) if not disable_plugins: logger.debug() else: for plugin in disable_plugins: try: self.pt.remove_plugin(plugin[], plugin[], ...
Customize template for site user specified customizations
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def skewvT(self,R,romberg=False,nsigma=None,phi=0.): surfmass= self.surfacemass(R,romberg=romberg,nsigma=nsigma, use_physical=False) vt= self._vmomentsurfacemass(R,0,1,romberg=romberg,nsigma=nsigma)\ /surfmass vt2= self._vmomentsurfacemass(...
NAME: skewvT PURPOSE: calculate skew in vT at R by marginalizing over velocity INPUT: R - radius at which to calculate <vR> (can be Quantity) OPTIONAL INPUT: nsigma - number of sigma to integrate the velocities over KEYWORDS: ...
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def format_list(self, at_char, user, list_name): return \ % (user, list_name, at_char, user, list_name)
Return formatted HTML for a list.
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def add_logging(parser, log_format=LOG_FORMAT, log_level=LOG_LEVEL, color=True): parser.set_defaults(log_level=log_level) parser.add_argument(, dest=, action=_LogLevelAddAction, const=1, help=) parser.add_argument(, dest=, action=_LogLevelAddAction, const=-1, help=) root_logger = logging.getLogger...
Configures the `argparse.ArgumentParser` with arguments to configure logging. This adds arguments: * ``-v`` to increase the log level * ``-q`` to decrease the log level * ``--color`` to enable color logging when available * ``--no-color`` to disable color logging The root logger is config...
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def validate_dict(in_dict, **kwargs): if not isinstance(in_dict, dict): raise ValueError() for key, value in kwargs.iteritems(): if key == : for required_key in value: if required_key not in in_dict: return False elif key not in in...
Returns Boolean of whether given dict conforms to type specifications given in kwargs.
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def grid_at_redshift_from_image_plane_grid_and_redshift(self, image_plane_grid, redshift): image_plane_grid_stack = grids.GridStack(regular=image_plane_grid, sub=np.array([[0.0, 0.0]]), blurring=np.array([[0.0, 0.0]])) tracer = Tracer...
For an input grid of (y,x) arc-second image-plane coordinates, ray-trace the coordinates to any redshift in \ the strong lens configuration. This is performed using multi-plane ray-tracing and the existing redshifts and planes of the tracer. However, \ any redshift can be input even if a plane ...
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def get_group(self, group_id): response = self._do_request( , .format(group_id=group_id)) return self._parse_response(response, MarathonGroup)
Get a single group. :param str group_id: group ID :returns: group :rtype: :class:`marathon.models.group.MarathonGroup`
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def _execute_command(self, command, sql): if not self._sock: raise err.InterfaceError("(0, )") if self._result is not None: if self._result.unbuffered_active: warnings.warn("Previous unbuffered result was left incomplete") ...
:raise InterfaceError: If the connection is closed. :raise ValueError: If no username was specified.
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def operator(self): return { : operator.eq, : operator.ne, : operator.gt, : operator.ge, : operator.lt, : operator.le, : self._starts_with, : self._in, : self._ni, }
Supported Filter Operators + EQ - Equal To + NE - Not Equal To + GT - Greater Than + GE - Greater Than or Equal To + LT - Less Than + LE - Less Than or Equal To + SW - Starts With + IN - In String or Array + NI - Not in String or Array
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def median_slitlets_rectified( input_image, mode=0, minimum_slitlet_width_mm=EMIR_MINIMUM_SLITLET_WIDTH_MM, maximum_slitlet_width_mm=EMIR_MAXIMUM_SLITLET_WIDTH_MM, debugplot=0 ): image_header = input_image[0].header image2d = input_image[0].data naxis2...
Compute median spectrum for each slitlet. Parameters ---------- input_image : HDUList object Input 2D image. mode : int Indicate desired result: 0 : image with the same size as the input image, with the median spectrum of each slitlet spanning all the spectra ...