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def folder_get(self, token, folder_id): parameters = dict() parameters[] = token parameters[] = folder_id response = self.request(, parameters) return response
Get the attributes of the specified folder. :param token: A valid token for the user in question. :type token: string :param folder_id: The id of the requested folder. :type folder_id: int | long :returns: Dictionary of the folder attributes. :rtype: dict
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def cmd(send, msg, args): if not msg: msg = gen_word() send(gen_fullwidth(msg.upper()))
Converts text to fullwidth characters. Syntax: {command} [text]
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def transition_to_add(self): assert self.state in [AQStateMachineStates.init, AQStateMachineStates.add] self.state = AQStateMachineStates.add
Transition to add
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def activate(paths, skip_local, skip_shared): if not paths: ctx = click.get_current_context() if cpenv.get_active_env(): ctx.invoke(info) return click.echo(ctx.get_help()) examples = ( ) ...
Activate an environment
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def value(self, obj): if self.template_name: t = loader.select_template([self.template_name]) return t.render(Context({: obj})) if self.eval_func: try: return eval(self.eval_func) except Exception as e: raise type(...
Computes the value of this field to update the index. :param obj: object instance, as a dictionary or as a model instance.
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def factorize(cls, pq): if pq % 2 == 0: return 2, pq // 2 y, c, m = randint(1, pq - 1), randint(1, pq - 1), randint(1, pq - 1) g = r = q = 1 x = ys = 0 while g == 1: x = y for i in range(r): y = (pow(y, 2, pq) + c) % ...
Factorizes the given large integer. :param pq: the prime pair pq. :return: a tuple containing the two factors p and q.
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def delete_user(self, user_id, **kwargs): return DeleteUser(settings=self.settings, **kwargs).call(user_id=user_id, **kwargs)
Delete user :param user_id: User ID :param kwargs: :return:
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def convert_markerstyle(inputstyle, mode, inputmode=None): mode = mode.lower() if mode not in (, ): raise ValueError("`{0}` is not valid `mode`".format(mode)) if inputmode is None: if inputstyle in markerstyles_root2mpl: inputmode = elif inputstyle in markerstyles_m...
Convert *inputstyle* to ROOT or matplotlib format. Output format is determined by *mode* ('root' or 'mpl'). The *inputstyle* may be a ROOT marker style, a matplotlib marker style, or a description such as 'star' or 'square'.
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def _pairwise(iterable): a, b = itertools.tee(iterable) next(b, None) if sys.version_info.major == 2: return itertools.izip(a, b) else: return zip(a, b)
Wrapper on itertools for SVD_magnitude.
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def calculate_checksum_on_iterator( itr, algorithm=d1_common.const.DEFAULT_CHECKSUM_ALGORITHM ): checksum_calc = get_checksum_calculator_by_dataone_designator(algorithm) for chunk in itr: checksum_calc.update(chunk) return checksum_calc.hexdigest()
Calculate the checksum of an iterator. Args: itr: iterable Object which supports the iterator protocol. algorithm: str Checksum algorithm, ``MD5`` or ``SHA1`` / ``SHA-1``. Returns: str : Checksum as a hexadecimal string, with length decided by the algorithm.
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def _duplicate_queries(self, output): if QC_SETTINGS[]: for query, count in self.queries.most_common(QC_SETTINGS[]): lines = [.format(count)] lines += wrap(query) lines = "\n".join(lines) + "\n" output += self._colorize(lines, ...
Appends the most common duplicate queries to the given output.
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def get_forward_star(self, node): if node not in self._node_attributes: raise ValueError("No such node exists.") return self._forward_star[node].copy()
Given a node, get a copy of that node's forward star. :param node: node to retrieve the forward-star of. :returns: set -- set of hyperedge_ids for the hyperedges in the node's forward star. :raises: ValueError -- No such node exists.
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def args_length(min_len, max_len, *args): not_null(*args) if not all(map(lambda v: min_len <= len(v) <= max_len, args)): raise ValueError("Argument length must be between {0} and {1}!".format(min_len, max_len))
检查参数长度
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def nearest_vertices(self, x, y, k=1, max_distance=np.inf ): if self.tree == False or self.tree == None: return 0, 0 xy = np.column_stack([x, y]) dxy, vertices = self._cKDtree.query(xy, k=k, distance_upper_bound=max_distance) if k == 1: vertices =...
Query the cKDtree for the nearest neighbours and Euclidean distance from x,y points. Returns 0, 0 if a cKDtree has not been constructed (switch tree=True if you need this routine) Parameters ---------- x : 1D array of Cartesian x coordinates y : 1D array of Ca...
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def _footer_start_thread(self, text, time): footerwid = urwid.AttrMap(urwid.Text(text), ) self.top.footer = footerwid load_thread = Thread(target=self._loading_thread, args=(time,)) load_thread.daemon = True load_thread.start()
Display given text in the footer. Clears after <time> seconds
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def do_build_reports(directory): for cwd, dirs, files in os.walk(directory): for f in sorted(files): if f in (, , , ): job_ini = os.path.join(cwd, f) logging.info(job_ini) try: reportwriter.build_report(job_ini, cwd) ...
Walk the directory and builds pre-calculation reports for all the job.ini files found.
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def get_joke(): page = requests.get("https://api.chucknorris.io/jokes/random") if page.status_code == 200: joke = json.loads(page.content.decode("UTF-8")) return joke["value"] return None
Returns a joke from the WebKnox one liner API. Returns None if unable to retrieve a joke.
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def merge(args): from jcvi.formats.base import DictFile p = OptionParser(merge.__doc__) opts, args = p.parse_args(args) if len(args) != 3: sys.exit(not p.print_help()) quartets, registry, lost = args qq = DictFile(registry, keypos=1, valuepos=3) lost = DictFile(lost, keypos=1...
%prog merge protein-quartets registry LOST Merge protein quartets table with dna quartets registry. This is specific to the napus project.
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def add_dynamic_kb(kbname, tag, collection="", searchwith=""): kb_id = add_kb(kb_name=kbname, kb_type=) save_kb_dyn_config(kb_id, tag, searchwith, collection) return kb_id
A convenience method.
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def create(self, using=None, **kwargs): self._get_connection(using).indices.create(index=self._name, body=self.to_dict(), **kwargs)
Creates the index in elasticsearch. Any additional keyword arguments will be passed to ``Elasticsearch.indices.create`` unchanged.
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def _phase_kuramoto(self, teta, t, argv): index = argv; phase = 0.0; neighbors = self.get_neighbors(index); for k in neighbors: conn_weight = 1.0; if (self._ena_conn_weight is True): conn_weight = self._c...
! @brief Overrided method for calculation of oscillator phase. @param[in] teta (double): Current value of phase. @param[in] t (double): Time (can be ignored). @param[in] argv (uint): Index of oscillator whose phase represented by argument teta. @return (d...
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def series(self): data = self.values() if len(data): for c in range(self.count()): yield data[:, c] else: raise StopIteration
Generator of single series data (no dates are included).
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def requestSchema(self, nym, name, version, sender): operation = { TARGET_NYM: nym, TXN_TYPE: GET_SCHEMA, DATA: {NAME : name, VERSION: version} } req = Request(sender, operation=operation) return self.prep...
Used to get a schema from Sovrin :param nym: nym that schema is attached to :param name: name of schema :param version: version of schema :return: req object
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def is_read_only(p_command): read_only_commands = tuple(cmd for cmd in (, ) + READ_ONLY_COMMANDS) return p_command.name() in read_only_commands
Returns True when the given command class is read-only.
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def selection_error_control(self, form_info): keys, names = self.return_selected_form_items(form_info[]) chosen_channels_number = len(keys) if form_info[] and chosen_channels_number < 2: return False, _( u"You should choose at least two channel to merge oper...
It controls the selection from the form according to the operations, and returns an error message if it does not comply with the rules. Args: form_info: Channel or subscriber form from the user Returns: True or False error message
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def add_node(self, node): self.nodes.append(node) for x in xrange(self.replicas): ring_key = self.hash_method(b("%s:%d" % (node, x))) self.ring[ring_key] = node self.sorted_keys.append(ring_key) self.sorted_keys.sort()
Adds a `node` to the hash ring (including a number of replicas).
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def sorted_items(d, key=__identity, reverse=False): def pairkey_key(item): return key(item[0]) return sorted(d.items(), key=pairkey_key, reverse=reverse)
Return the items of the dictionary sorted by the keys >>> sample = dict(foo=20, bar=42, baz=10) >>> tuple(sorted_items(sample)) (('bar', 42), ('baz', 10), ('foo', 20)) >>> reverse_string = lambda s: ''.join(reversed(s)) >>> tuple(sorted_items(sample, key=reverse_string)) (('foo', 20), ('bar', 42), ('baz', 10)) ...
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def table_path(cls, project, instance, table): return google.api_core.path_template.expand( "projects/{project}/instances/{instance}/tables/{table}", project=project, instance=instance, table=table, )
Return a fully-qualified table string.
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def debug(self, *msg): label = colors.yellow("DEBUG") self._msg(label, *msg)
Prints a warning
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def get_query_rows(self, job_id, offset=None, limit=None, timeout=0): query_reply = self.get_query_results(job_id, offset=offset, limit=limit, timeout=timeout) if not query_reply[]: logger.warning( % job_id) raise Un...
Retrieve a list of rows from a query table by job id. This method will append results from multiple pages together. If you want to manually page through results, you can use `get_query_results` method directly. Parameters ---------- job_id : str The job id th...
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def from_perseus(network_table, networks): graphs = [] for guid, graph_attr in zip(network_table[], network_table.values): network = networks[guid] edge_table = network[] if edge_table[[, ]].duplicated().any(): warnings.warn(.format(network[])) G = nx.from_pandas...
Create networkx graph from network tables >>> from perseuspy import read_networks, nx >>> network_table, networks = read_networks(folder) >>> graphs = nx.from_perseus(network_table, networks)
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def compute_key(cli, familly, discriminant=None): hash_key = hashlib.sha256() hash_key.update(familly) hash_key.update(cli.host) hash_key.update(cli.user) hash_key.update(cli.password) if discriminant: if isinstance(discriminant, list): for i in discriminant: ...
This function is used to compute a unique key from all connection parametters.
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def normalize_url(url): if url.endswith(): url = url[:-5] if url.endswith(): url = url[:-1] return url
Return url after stripping trailing .json and trailing slashes.
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def GetData(ID, season = None, cadence = , clobber = False, delete_raw = False, aperture_name = None, saturated_aperture_name = None, max_pixels = None, download_only = False, saturation_tolerance = None, bad_bits = None, **kwargs): raise NotImplementedError()
Returns a :py:obj:`DataContainer` instance with the raw data for the target. :param int ID: The target ID number :param int season: The observing season. Default :py:obj:`None` :param str cadence: The light curve cadence. Default `lc` :param bool clobber: Overwrite existing files? Default :py:obj:`False` :...
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def _from_docstring_rst(doc): def format_fn(line, status): if re_from_data.match(line): line = re_from_data.sub(r"**\1** ", line) status["add_line"] = True line = re_from_defaults.sub(r"*\1*", line) if status["listing"]: if re_...
format from docstring to ReStructured Text
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def insert(self, row): data = self._convert_value(row) self._service.InsertRow(data, self._ss.id, self.id)
Insert a new row. The row will be added to the end of the spreadsheet. Before inserting, the field names in the given row will be normalized and values with empty field names removed.
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def verify_psd_options_multi_ifo(opt, parser, ifos): for ifo in ifos: for opt_group in ensure_one_opt_groups: ensure_one_opt_multi_ifo(opt, parser, ifo, opt_group) if opt.psd_estimation[ifo]: required_opts_multi_ifo(opt, parser, ifo, [, ], ...
Parses the CLI options and verifies that they are consistent and reasonable. Parameters ---------- opt : object Result of parsing the CLI with OptionParser, or any object with the required attributes (psd_model, psd_file, asd_file, psd_estimation, psd_segment_length, psd_segment...
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def create_ngram_set(input_list, ngram_value=2): return set(zip(*[input_list[i:] for i in range(ngram_value)]))
Extract a set of n-grams from a list of integers. >>> create_ngram_set([1, 4, 9, 4, 1, 4], ngram_value=2) {(4, 9), (4, 1), (1, 4), (9, 4)} >>> create_ngram_set([1, 4, 9, 4, 1, 4], ngram_value=3) [(1, 4, 9), (4, 9, 4), (9, 4, 1), (4, 1, 4)]
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def get_proficiencies_by_genus_type(self, proficiency_genus_type): collection = JSONClientValidated(, collection=, runtime=self._runtime) result = collection.find( dict({: st...
Gets a ``ProficiencyList`` corresponding to the given proficiency genus ``Type`` which does not include proficiencies of types derived from the specified ``Type``. arg: proficiency_genus_type (osid.type.Type): a proficiency genus type return: (osid.learning.ProficiencyList) - the ret...
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def generator(self, output, target): "Evaluate the `output` with the critic then uses `self.loss_funcG` to combine it with `target`." fake_pred = self.gan_model.critic(output) return self.loss_funcG(fake_pred, target, output)
Evaluate the `output` with the critic then uses `self.loss_funcG` to combine it with `target`.
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def current_site_id(): if hasattr(override_current_site_id.thread_local, "site_id"): return override_current_site_id.thread_local.site_id from yacms.utils.cache import cache_installed, cache_get, cache_set request = current_request() site_id = getattr(request, "site_id", None) if requ...
Responsible for determining the current ``Site`` instance to use when retrieving data for any ``SiteRelated`` models. If we're inside an override_current_site_id context manager, return the overriding site ID. Otherwise, try to determine the site using the following methods in order: - ``site_id`` in...
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def config_path(self, value): self._config_path = value or if not isinstance(self._config_path, str): raise BadArgumentError("config_path must be string: {}".format( self._config_path))
Set config_path
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def reset_coords(self, names=None, drop=False, inplace=None): inplace = _check_inplace(inplace) if names is None: names = self._coord_names - set(self.dims) else: if isinstance(names, str): names = [names] self._assert_all_in_dataset(n...
Given names of coordinates, reset them to become variables Parameters ---------- names : str or list of str, optional Name(s) of non-index coordinates in this dataset to reset into variables. By default, all non-index coordinates are reset. drop : bool, optional ...
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def lv_load_areas(self): for load_area in sorted(self._lv_load_areas, key=lambda _: repr(_)): yield load_area
Returns a generator for iterating over load_areas Yields ------ int generator for iterating over load_areas
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def get_least_salient_words(vocab, topic_word_distrib, doc_topic_distrib, doc_lengths, n=None): return _words_by_salience_score(vocab, topic_word_distrib, doc_topic_distrib, doc_lengths, n, least_to_most=True)
Order the words from `vocab` by "saliency score" (Chuang et al. 2012) from least to most salient. Optionally only return the `n` least salient words. J. Chuang, C. Manning, J. Heer 2012: "Termite: Visualization Techniques for Assessing Textual Topic Models"
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def binary_regex(self): regex = {: r, : r, : r, : r, : r, : r, } return regex[self.platform] % { : APPLICATIONS_TO_BINARY_NAME.get(self.app...
Return the regex for the binary.
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def gain_offsets(Idat,Qdat,Udat,Vdat,tsamp,chan_per_coarse,feedtype=,**kwargs): if feedtype==: I_OFF,I_ON = foldcal(Idat,tsamp,**kwargs) Q_OFF,Q_ON = foldcal(Qdat,tsamp,**kwargs) XX_ON = (I_ON+Q_ON)/2 XX_OFF = (I_OFF+Q_OFF)/2 YY_ON = (I_ON-Q_ON)/2 ...
Determines relative gain error in the X and Y feeds for an observation given I and Q (I and V for circular basis) noise diode data.
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def export_partlist_to_file(input, output, timeout=20, showgui=False): input = norm_path(input) output = norm_path(output) commands = export_command(output=output, output_type=) command_eagle( input=input, timeout=timeout, commands=commands, showgui=showgui)
call eagle and export sch or brd to partlist text file :param input: .sch or .brd file name :param output: text file name :param timeout: int :param showgui: Bool, True -> do not hide eagle GUI :rtype: None
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def _from_dict(cls, _dict): args = {} if in _dict: args[] = MessageContextGlobal._from_dict( _dict.get()) if in _dict: args[] = MessageContextSkills._from_dict( _dict.get()) return cls(**args)
Initialize a MessageContext object from a json dictionary.
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def fetch(self, fetch_notes=None): if fetch_notes is None: fetch_notes = self.fetch_notes values, notes_index = get_sheet_values(self.name, self.sheet_name, spreadsheet_service=self._spreadsheet_service, ...
update remote values (called automatically at __init__)
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def from_xy_array(cls, xy, shape): keypoints = [Keypoint(x=coord[0], y=coord[1]) for coord in xy] return KeypointsOnImage(keypoints, shape)
Convert an array (N,2) with a given image shape to a KeypointsOnImage object. Parameters ---------- xy : (N, 2) ndarray Coordinates of ``N`` keypoints on the original image, given as ``(N,2)`` array of xy-coordinates. shape : tuple of int or ndarray ...
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def with_bundler(self): def gemfile_exists(): return os.path.exists() if in os.environ: print(colored( s config system. To set it globally, run this command anywhere: git config --global git-up.bundler.check true To set it ...
Check, if bundler check is requested. Check, if the user wants us to check for new gems and return True in this case. :rtype : bool
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def setCol(self, x, l): for i in xrange(0, self.__size): self.setCell(x, i, l[i])
set the x-th column, starting at 0
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def parse_cell(self, cell): field = if (isinstance(cell.value, (str, unicode)) and cell.value.startswith() and cell.value.endswith()): field = cell.value[2:-2].strip() value = else: value = cell.value return value, f...
Process cell field, the field format just like {{field}} :param cell: :return: value, field
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def make_spark_lines(table,filename,sc,**kwargs): spark_output = True lines_out_count = False extrema = False for key,value in kwargs.iteritems(): if key == : lines_out_count = value if key == : extrema = value list = [] count = 0 for row in table.columns.values.tolist(): if in row: list.ap...
alignment_field = False spark_output = True if kwargs is not None: for key,value in kwargs.iteritems(): if key == 'alignment_field': alignment_field = value if key == 'spark_output': spark_output = value #changing dataframe to list if dataframe if isinstance(table,pd.DataFrame): table=df2list(ta...
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def to_molden(cartesian_list, buf=None, sort_index=True, overwrite=True, float_format=.format): if sort_index: cartesian_list = [molecule.sort_index() for molecule in cartesian_list] give_header = ("[MOLDEN FORMAT]\n" + "[N_GEO]\n" + str(len(cart...
Write a list of Cartesians into a molden file. .. note:: Since it permamently writes a file, this function is strictly speaking **not sideeffect free**. The list to be written is of course not changed. Args: cartesian_list (list): buf (str): StringIO-like, optional buffer to wr...
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def _dens(self,R,z,phi=0.,t=0.): return 3./4./nu.pi*self._b2*(R**2.+z**2.+self._b2)**-2.5
NAME: _dens PURPOSE: evaluate the density for this potential INPUT: R - Galactocentric cylindrical radius z - vertical height phi - azimuth t - time OUTPUT: the density HISTORY: 2015-06-15 - Written -...
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def _rotate(lon, lat, theta, axis=): lon, lat = np.atleast_1d(lon, lat) lon, lat = map(np.radians, [lon, lat]) theta = np.radians(theta) x, y, z = sph2cart(lon, lat) lookup = {:_rotate_x, :_rotate_y, :_rotate_z} X, Y, Z = lookup[axis](x, y, z, theta) lon, lat = cart2sp...
Rotate "lon", "lat" coords (in _degrees_) about the X-axis by "theta" degrees. This effectively simulates rotating a physical stereonet. Returns rotated lon, lat coords in _radians_).
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def get_de_novos_in_transcript(transcript, de_novos): in_transcript = [] for de_novo in de_novos: in_transcript.append(de_novo) return in_transcript
get the de novos within the coding sequence of a transcript Args: transcript: Transcript object, which defines the transcript coordinates de_novos: list of chromosome sequence positions for de novo events Returns: list of de novo positions found within the transcript
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def less_than(self, less_than): if hasattr(less_than, ): less_than = datetime_as_utc(less_than).strftime() elif isinstance(less_than, six.string_types): raise QueryTypeError( % type(less_than)) return self._add_condition(, less_than, types=[int, str])
Adds new `<` condition :param less_than: str or datetime compatible object (naive UTC datetime or tz-aware datetime) :raise: - QueryTypeError: if `less_than` is of an unexpected type
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def read_object_from_yaml(desired_type: Type[Any], file_object: TextIOBase, logger: Logger, fix_imports: bool = True, errors: str = , *args, **kwargs) -> Any: return yaml.load(file_object)
Parses a yaml file. :param desired_type: :param file_object: :param logger: :param fix_imports: :param errors: :param args: :param kwargs: :return:
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def populate_dataframe(index,columns, default_dict, dtype): new_df = pd.DataFrame(index=index,columns=columns) for fieldname,dt in zip(columns,dtype.descr): default = default_dict[fieldname] new_df.loc[:,fieldname] = default new_df.loc[:,fieldname] = new_df.loc[:,fieldname].astype(d...
helper function to populate a generic Pst dataframe attribute. This function is called as part of constructing a generic Pst instance Parameters ---------- index : (varies) something to use as the dataframe index columns: (varies) something to use as the dataframe columns defau...
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def fn_floor(self, value): if is_ndarray(value) or isinstance(value, (list, tuple)): return numpy.floor(self._to_ndarray(value)) else: return math.floor(value)
Return the floor of a number. For negative numbers, floor returns a lower value. E.g., `floor(-2.5) == -3` :param value: The number. :return: The floor of the number.
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def zan(self, id_reply): logger.info(.format(id_reply)) MReply2User.create_reply(self.userinfo.uid, id_reply) cur_count = MReply2User.get_voter_count(id_reply) if cur_count: MReply.update_vote(id_reply, cur_count) output = {: cur_count} else: ...
先在外部表中更新,然后更新内部表字段的值。 有冗余,但是查看的时候避免了联合查询
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def get_template_debug(template_name, error): }
This structure is what Django wants when errors occur in templates. It gives the user a nice stack trace in the error page during debug.
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def update_report_collector(self, timestamp): report_enabled = in self.information and self.information[] == report_enabled = report_enabled and in self.information report_enabled = report_enabled and Event.collector_queue is not None if report_enabled: Event.col...
Updating report collector for pipeline details.
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def warm_spell_duration_index(tasmax, tx90, window=6, freq=): r if not in tx90.coords.keys(): raise AttributeError("tx90 should have dayofyear coordinates.") doy = tasmax.indexes[].dayofyear tx90 = utils.adjust_doy_calendar(tx90, tasmax) thresh = xr.full_like(tasmax, np.na...
r"""Warm spell duration index Number of days with at least six consecutive days where the daily maximum temperature is above the 90th percentile. The 90th percentile should be computed for a 5-day window centred on each calendar day in the 1961-1990 period. Parameters ---------- tasmax : xarra...
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def fit(self, xy=False, **kwargs): kwargs.setdefault(, self.tpr) kwargs.setdefault(, self.ndx) kwargs[] = self.xtc force = kwargs.pop(, self.force) if xy: fitmode = kwargs.pop(, None) infix_default = else: fitmode...
Write xtc that is fitted to the tpr reference structure. Runs :class:`gromacs.tools.trjconv` with appropriate arguments for fitting. The most important *kwargs* are listed here but in most cases the defaults should work. Note that the default settings do *not* include centering or ...
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def usergroups_users_update( self, *, usergroup: str, users: List[str], **kwargs ) -> SlackResponse: self._validate_xoxp_token() kwargs.update({"usergroup": usergroup, "users": users}) return self.api_call("usergroups.users.update", json=kwargs)
Update the list of users for a User Group Args: usergroup (str): The encoded ID of the User Group to update. e.g. 'S0604QSJC' users (list): A list user IDs that represent the entire list of users for the User Group. e.g. ['U060R4BJ4', 'U060RNRCZ']
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def _bucket_key(self): return "{}.size.{}".format( self.prefix, (self._hashed_key//1000) if self._hashed_key > 1000 else self._hashed_key)
Returns hash bucket key for the redis key
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def func(nargs: Optional[int] = None, nouts: Optional[int] = None, ndefs: Optional[int] = None): return lambda f: wraps(f)(WrappedFunction(f, nargs=nargs, nouts=nouts, ndefs=ndefs))
decorates normal function to Function with (optional) number of arguments and outputs. : func(nargs: Optional[int] = None, nouts: Optional[int] = None, ndefs: Optional[int] = None)
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def from_backend(self, dagobah_id): logger.debug(.format(dagobah_id)) rec = self.backend.get_dagobah_json(dagobah_id) if not rec: raise DagobahError( % dagobah_id) self._construct_from_json(rec)
Reconstruct this Dagobah instance from the backend.
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def healthy(self): try: if self.is_healthy(): return "OK", 200 else: return "FAIL", 500 except Exception as e: self.app.logger.exception(e) return str(e), 500
Return 200 is healthy, else 500. Override is_healthy() to change the health check.
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def max_insertion(seqs, gene, domain): seqs = [i[2] for i in list(seqs.values()) if i[2] != [] and i[0] == gene and i[1] == domain] lengths = [] for seq in seqs: for ins in seq: lengths.append(int(ins[2])) if lengths == []: return 100 return max(lengths)
length of largest insertion
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def calc_svd(self, lapack_driver=): if self._isSpectral(): msg = "svd not implemented yet for spectral data class" raise Exception(msg) chronos, s, topos = _comp.calc_svd(self.data, lapack_driver=lapack_driver) return u, s, v
Return the SVD decomposition of data The input data np.ndarray shall be of dimension 2, with time as the first dimension, and the channels in the second Hence data should be of shape (nt, nch) Uses scipy.linalg.svd(), with: full_matrices = True compute_u...
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async def toggle(self): self.logger.debug("toggle command") if not self.state == : return if self.streamer is None: return try: if self.streamer.is_playing(): await self.pause() else: await self....
Toggles between pause and resume command
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def __normalize_args(**keywds): if isinstance(keywds[], Callable) and \ None is keywds[]: keywds[] = keywds[] keywds[] = None return keywds
implementation details
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def save_output_meta(self): options = self.options file_path = os.path.join(options.outputdir, ) with open(file_path, ) as outfile: json.dump(self.OUTPUT_META_DICT, outfile)
Save descriptive output meta data to a JSON file.
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def skull_strip(dset,suffix=,prefix=None,unifize=True): if prefix==None: prefix = nl.suffix(dset,suffix) unifize_dset = nl.suffix(dset,) cmd = bet2 if bet2 else if unifize: info = nl.dset_info(dset) if info==None: nl.notify( % dset,level=nl.level.error...
use bet to strip skull from given anatomy
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def dist_calc(loc1, loc2): R = 6371.009 dlat = np.radians(abs(loc1[0] - loc2[0])) dlong = np.radians(abs(loc1[1] - loc2[1])) ddepth = abs(loc1[2] - loc2[2]) mean_lat = np.radians((loc1[0] + loc2[0]) / 2) dist = R * np.sqrt(dlat ** 2 + (np.cos(mean_lat) * dlong) ** 2) dist = np.sqrt(di...
Function to calculate the distance in km between two points. Uses the flat Earth approximation. Better things are available for this, like `gdal <http://www.gdal.org/>`_. :type loc1: tuple :param loc1: Tuple of lat, lon, depth (in decimal degrees and km) :type loc2: tuple :param loc2: Tuple of...
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def get_user_choice(items): q choice = raw_input() while choice != : try: item = items[int(choice)] print return item except ValueError: return None
Returns the selected item from provided items or None if 'q' was entered for quit.
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def shell_split(text): assert is_text_string(text) pattern = r.*?(?<!\\)\ out = [] for token in re.split(pattern, text): if token.strip(): out.append(token.strip().strip("'")) return out
Split the string `text` using shell-like syntax This avoids breaking single/double-quoted strings (e.g. containing strings with spaces). This function is almost equivalent to the shlex.split function (see standard library `shlex`) except that it is supporting unicode strings (shlex does not suppor...
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def write(self, buf): assert self.writable self._check_pid(allow_reset=False) check_call(_LIB.MXRecordIOWriterWriteRecord(self.handle, ctypes.c_char_p(buf), ctypes.c_size_t(len(buf)))...
Inserts a string buffer as a record. Examples --------- >>> record = mx.recordio.MXRecordIO('tmp.rec', 'w') >>> for i in range(5): ... record.write('record_%d'%i) >>> record.close() Parameters ---------- buf : string (python2), bytes (python3)...
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def groups(self, labels, collect=None): if not _is_non_string_iterable(labels): return self.group(labels, collect=collect) collect = _zero_on_type_error(collect) columns = [] labels = self._as_labels(labels) for label in labels: if label...
Group rows by multiple columns, count or aggregate others. Args: ``labels``: list of column names (or indices) to group on ``collect``: a function applied to values in other columns for each group Returns: A Table with each row corresponding to a unique combination of values i...
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def update(self, changed_state_model=None, with_expand=False): if not self.view_is_registered: return if changed_state_model is None: parent_row_iter = None self.state_row_iter_dict_by_state_path.clear() self.tree_store.clea...
Checks if all states are in tree and if tree has states which were deleted :param changed_state_model: Model that row has to be updated :param with_expand: The expand flag for the tree
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def get_available_devices(self): connected_devices = self.mbeds.list_mbeds() if self.mbeds else [] edbg_ports = self.available_edbg_ports() for port in edbg_ports: connected_devices.append({ "platform_name": "SAM4E", "serial_...
Gets available devices using mbedls and self.available_edbg_ports. :return: List of connected devices as dictionaries.
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def make_directory(self, directory_name, *args, **kwargs): self.dav_client().mkdir(self.join_path(self.session_path(), directory_name))
:meth:`.WNetworkClientProto.make_directory` method implementation
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def server(self): server = getattr(self, "_server", None) if server is None: log.debug("Binding datagram server to %s", self.bind) server = DatagramServer(self.bind, self._response_received) self._server = server return server
UDP server to listen for responses.
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def get_randomness_stream(self, decision_point: str, for_initialization: bool=False) -> RandomnessStream: if decision_point in self._decision_points: raise RandomnessError(f"Two separate places are attempting to create " f"the same randomness stream for {de...
Provides a new source of random numbers for the given decision point. Parameters ---------- decision_point : A unique identifier for a stream of random numbers. Typically represents a decision that needs to be made each time step like 'moves_left' or 'gets_d...
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def get_array_dimensions(data): depths_and_dimensions = get_depths_and_dimensions(data, 0) grouped_by_depth = { depth: tuple(dimension for depth, dimension in group) for depth, group in groupby(depths_and_dimensions, itemgetter(0)) } invalid_depths_dimensions = tuple( ...
Given an array type data item, check that it is an array and return the dimensions as a tuple. Ex: get_array_dimensions([[1, 2, 3], [4, 5, 6]]) returns (2, 3)
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def prepare_socket(bind_addr, family, type, proto, nodelay, ssl_adapter): sock = socket.socket(family, type, proto) prevent_socket_inheritance(sock) host, port = bind_addr[:2] IS_EPHEMERAL_PORT = port == 0 if not (IS_WINDOWS or IS_EPHEMERAL_PORT): ...
Create and prepare the socket object.
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def batch_fetch_labels(ids): m = {} for id in ids: label = anyont_fetch_label(id) if label is not None: m[id] = label return m
fetch all rdfs:label assertions for a set of CURIEs
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def add_project(self, ): i = self.prj_tablev.currentIndex() item = i.internalPointer() if item: project = item.internal_data() if self._atype: self._atype.projects.add(project) elif self._dep: self._dep.projects.add(pro...
Add a project and store it in the self.projects :returns: None :rtype: None :raises: None
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def peek_at(iterable: Iterable[T]) -> Tuple[T, Iterator[T]]: gen = iter(iterable) peek = next(gen) return peek, itertools.chain([peek], gen)
Returns the first value from iterable, as well as a new iterator with the same content as the original iterable
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def main_passpersist(self): line = sys.stdin.readline().strip() if not line: raise EOFError() if in line: print("PONG") elif in line: oid = self.cut_oid(sys.stdin.readline().strip()) if oid is None: print("NONE") elif oid == "": print(self.get_first()) else: print(self.g...
Main function that handle SNMP's pass_persist protocol, called by the start method. Direct call is unnecessary.
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def before_all(ctx): ctx.client = get_client() try: ctx.client.inspect_image(IMAGE) except NotFound: ctx.client.pull(IMAGE)
Pulls down busybox:latest before anything is tested.
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def alternative_short_name(self, name=None, entry_name=None, limit=None, as_df=False): q = self.session.query(models.AlternativeShortName) model_queries_config = ( (name, models.AlternativeShortName.name), ) q = self.get_model_queries(q, model_queries_config) ...
Method to query :class:`.models.AlternativeShortlName` objects in database :param name: alternative short name(s) :type name: str or tuple(str) or None :param entry_name: name(s) in :class:`.models.Entry` :type entry_name: str or tuple(str) or None :param limit: - ...
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def clear_cache(backend=None): fileserver = salt.fileserver.Fileserver(__opts__) cleared, errors = fileserver.clear_cache(back=backend) ret = {} if cleared: ret[] = cleared if errors: ret[] = errors if not ret: return return ret
.. versionadded:: 2015.5.0 Clear the fileserver cache from VCS fileserver backends (:mod:`git <salt.fileserver.gitfs>`, :mod:`hg <salt.fileserver.hgfs>`, :mod:`svn <salt.fileserver.svnfs>`). Executing this runner with no arguments will clear the cache for all enabled VCS fileserver backends, but this ...
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def handleNotification(self, handle, data): _LOGGER.debug("Got notification from %s: %s", handle, codecs.encode(data, )) if handle in self._callbacks: self._callbacks[handle](data)
Handle Callback from a Bluetooth (GATT) request.
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def array_addunique(path, value, create_parents=False, **kwargs): return _gen_4spec(LCB_SDCMD_ARRAY_ADD_UNIQUE, path, value, create_path=create_parents, **kwargs)
Add a new value to an array if the value does not exist. :param path: The path to the array :param value: Value to add to the array if it does not exist. Currently the value is restricted to primitives: strings, numbers, booleans, and `None` values. :param create_parents: Create the array i...