content
stringlengths
22
815k
id
int64
0
4.91M
def resolve_grant_endpoint(doi_grant_code): """Resolve the OpenAIRE grant.""" # jsonresolver will evaluate current_app on import if outside of function. from flask import current_app pid_value = '10.13039/{0}'.format(doi_grant_code) try: _, record = Resolver(pid_type='grant', object_type='re...
5,349,300
def from_tiff(path: Union[Path, str]) -> OME: """Generate OME metadata object from OME-TIFF path. This will use the first ImageDescription tag found in the TIFF header. Parameters ---------- path : Union[Path, str] Path to OME TIFF. Returns ------- ome: ome_types.model.ome.OME...
5,349,301
def increase_structure_depth(previous_architecture, added_block, problem_type): """Returns new structure given the old one and the added block. Increases the depth of the neural network by adding `added_block`. For the case of cnns, if the block is convolutional, it will add it before the flattening operation....
5,349,302
def elina_linexpr0_set_cst_scalar_double(linexpr, num): """ Set the constant of an ElinaLinexpr0 by using a c_double. Parameters ---------- linexpr : ElinaLinexpr0Ptr Destination. num : c_double Source. Returns ------- None """ try: elina_linexpr0_...
5,349,303
def create_table_string(data, highlight=(True, False, False, False), table_class='wikitable', style=''): """ Takes a list and returns a wikitable. @param data: The list that is converted to a wikitable. @type data: List (Nested) @param highlight: Tuple of rows and columns that should be highlighte...
5,349,304
def group_tokens(tokens): """ Join and separate tokens to be more suitable for diffs. Transformations: - Empty tokens are removed - Text containing newlines is split to have the newline be one token - Other sequential whitespace tokens are joined - Token types which contain freeform text (i...
5,349,305
def path_to_dnd(path: Path) -> str: """Converts a `Path` into an acceptable value for `tkinterdnd2.`""" # tkinterdnd2 will only accept fs paths with forward slashes, even on Windows. wants_sep = '/' if os.path.sep == wants_sep: return str(path) else: return wants_sep.join(str(path)....
5,349,306
def modify_reflection(args, json_reflection, rid): """ modify a reflection """ base_url, token = get_base_url_token(args) x = _modify_reflection(token, base_url, rid, json_reflection, ssl_verify=args.get("ssl_verify", True)) click.echo(json.dumps(x))
5,349,307
async def current_page_error(call: CallbackQuery): """The function handles clicking on the current page""" await call.answer(cache_time=60)
5,349,308
def registry_dispatcher_document(self, code, collection): """ This task receive a list of codes that should be queued for DOI registry """ return _registry_dispatcher_document(code, collection, skip_deposited=False)
5,349,309
def get_reddit_oauth_scopes( scopes: Collection[str] | None = None, ) -> dict[str, dict[str, str]]: """Get metadata on the OAUTH scopes offered by the Reddit API.""" # Set up the request for scopes scopes_endpoint = "/api/v1/scopes" scopes_endpoint_url = REDDIT_BASE_URL + scopes_endpoint headers...
5,349,310
def loop_filtering(preprocessed_file: str = None, unprocessed_text_file: str = None, output_file: str = r'./preprocessed_filtered.txt', unprocessed_filtered_file: str = r'./unprocessed_filtered.txt', saved_file: str = None, t...
5,349,311
def beta_reader(direc): """ Function to read in beta values for each tag """ path = direc H_beta = np.loadtxt('%s/Beta Values/h_beta_final2.txt' % path) Si_beta = np.loadtxt('%s/Beta Values/si_beta_final2.txt' % path) He_emi_beta = np.loadtxt('%s/Beta Values/he_emi_beta_final2.txt' % path) ...
5,349,312
def import_people( ctx: DataFunctionContext, user_key: str, use_sample: bool = False, ): """ Params: user_key: User API key from crunchbase. use_sample: Whether to use the sample bulk CSV endpoint (default False) """ base_import( data_source="people", user_key...
5,349,313
def boto3_s3_upload(s3, dst, file): """Upload Item to s3. :param s3: -- Sqlalchemy session object. :param dst: -- str. Location to storage ??? :param file: -- ???. File object. Return Type: Bool """ s3.Object(settings.config_type['AWS_BUCKET'], file).put(Body=open(os.path.join(dst, file), ...
5,349,314
def get_logging_format(): """return the format string for the logger""" formt = "[%(asctime)s] %(levelname)s:%(message)s" return formt
5,349,315
def plot_hydrogen_balance(results): """ Plot the hydrogen balance over time """ n_axes = results["times"].shape[0] fig = plt.figure(figsize=(6.0, 5.5)) fig.suptitle('Hydrogen production and utilization over the year', fontsize=fontsize+1, fontweight='normal', color='k') axes = fig.subplots(n_axes) ...
5,349,316
def ref_dw(fc, fmod): """Give the reference value for roughness by linear interpolation from the data given in "Psychoacoustical roughness:implementation of an optimized model" by Daniel and Weber in 1997 Parameters ---------- fc: integer carrier frequency fmod: integer modu...
5,349,317
def points_2d_inside_image( width: int, height: int, camera_model: str, points_2d: np.ndarray, points_3d: Optional[np.ndarray] = None, ) -> np.ndarray: """Returns the indices for an array of 2D image points that are inside the image canvas. Args: width: Pixel width of the image canv...
5,349,318
def list2tensors(some_list): """ :math:`` Description: Implemented: [True/False] Args: (:): (:): Default: Shape: - Input: list - Output: list of tensors Examples:: """ t_list=[] for i in some_list: t_lis...
5,349,319
def print_sys_info(verbosity=None): """Print package information as a formatted table.""" global _COL_MAX pkgs = get_info_fluiddyn() pkgs_third_party = get_info_third_party() widths = None width_pkg_name = 0 for _pkgs in (pkgs, pkgs_third_party): for pkg_name, pkg_details in _pkgs.i...
5,349,320
def interpret_input(inputs): """ convert input entries to usable dictionaries """ for key, value in inputs.items(): # interpret each line's worth of entries if key in ['v0', 'y0', 'angle']: # for variables, intepret distributions converted = interpret_distribution(key,...
5,349,321
def time(prompt=None, output_hour_clock=24, milli_seconds=False, fill_0s=True, allow_na=False): """ Repeatedly ask the user to input hours, minutes and seconds until they input valid values and return this in a defined format :param prompt: Message to display to the user before asking them for inputs. Defa...
5,349,322
def main(): """ Simple tests for the L3OrderBookManager class """ os.system("cls") print("------------ORDERBOOK TEST------------") order_book = L3OrderBookManager() # Testing insertion order1 = create_order(1, 100, 10, 1, 2) order2 = create_order(2, 100, 20, 1, 2) order3 = creat...
5,349,323
def update_notes(text1, text2, index): """ Displays notes with the given index in given text widgets. If index is lower than 0, displays notes for index 0. If index is higher than the highest index there are notes for the text widgets are left empty. text2 is always given the notes at index (index + 1) if exis...
5,349,324
def PySys_GetFile(space, name, def_): """Return the FILE* associated with the object name in the sys module, or def if name is not in the module or is not associated with a FILE*.""" raise NotImplementedError
5,349,325
def byol_a_url(ckpt, refresh=False, *args, **kwargs): """ The model from URL ckpt (str): URL """ return byol_a_local(_urls_to_filepaths(ckpt, refresh=refresh), *args, **kwargs)
5,349,326
def parse_csv_row(obj: dict[str, Any], rowtype: str, content: str) -> None: """Parses a row in the CSV.""" if rowtype == 'row': if 'dataset_labels' not in obj: obj['dataset_labels'] = defaultdict(list) assert '|' in content ds, ds_label = content.split('|') obj['data...
5,349,327
def bellman_ford(g, start): """ Given an directed graph with possibly negative edge weights and with n vertices and m edges as well as its vertex s, compute the length of shortest paths from s to all other vertices of the graph. Returns dictionary with vertex as key. - If vertex not present in th...
5,349,328
def _read_date(settings_file): """Get the data from the settings.xml file Parameters ---------- settings_file : Path path to settings.xml inside open-ephys folder Returns ------- datetime start time of the recordings Notes ----- The start time is present in the...
5,349,329
def conv_res_step(x, hparams, padding, mask): """One step of convolutions and mid-residual.""" k = (hparams.kernel_height, hparams.kernel_width) k2 = (hparams.large_kernel_size, 1) dilations_and_kernels1 = [((1, 1), k), ((1, 1), k)] dilations_and_kernels2 = [((1, 1), k2), ((4, 4), k2)] with tf.variable_scop...
5,349,330
def _get_kind_name(item): """Returns the kind name in CollectionDef. Args: item: A data item. Returns: The string representation of the kind in CollectionDef. """ if isinstance(item, (six.string_types, six.binary_type)): kind = "bytes_list" elif isinstance(item, six.integer_types): kind = ...
5,349,331
def set_default_config(app): """ :param app: """ app.config.setdefault('RB_DEFAULT_ACCEPTABLE_MIMETYPES', { v.mimetype for _, v in DEFAULT_BUILDERS.items() }) app.config.setdefault('RB_DEFAULT_RESPONSE_FORMAT', DEFAULT_BUILDERS['json'].mimetype) app.config.setdefault('RB_FORMAT_KEY'...
5,349,332
def Froude_number(v, h, g=9.80665): """ Calculate the Froude Number of the river, channel or duct flow, to check subcritical flow assumption (if Fr <1). Parameters ------------ v : int/float Average velocity [m/s]. h : int/float Mean hydrolic depth float [m]. g : in...
5,349,333
def handle_error( func: Callable[[Command | list[Command]], Any] ) -> Callable[[str], Any]: """Handle tradfri api call error.""" @wraps(func) async def wrapper(command: Command | list[Command]) -> None: """Decorate api call.""" try: await func(command) except Request...
5,349,334
def write(ser, command, log): """Write command to serial port, append what you write to log.""" ser.write(command) summary = " I wrote: " + repr(command) log += summary + "\n" print summary return log
5,349,335
def update(probabilities, one_gene, two_genes, have_trait, p): """ Add to `probabilities` a new joint probability `p`. Each person should have their "gene" and "trait" distributions updated. Which value for each distribution is updated depends on whether the person is in `have_gene` and `have_trait`...
5,349,336
def anscombe(x): """Compute Anscombe transform.""" return 2 * np.sqrt(x + 3 / 8)
5,349,337
def max_accuracy(c1, c2): """ Relabel the predicted labels *in order* to achieve the best accuracy, and return that score and the best labelling Parameters ---------- c1 : np.array numpy array with label of predicted cluster c2 : np.array numpy array with label of true ...
5,349,338
def create_sphere(): """Create and return a single sphere of radius 5.""" sphere = rt.sphere() sphere.radius = 5 return sphere
5,349,339
def calc_entropy(data): """ Calculate the entropy of a dataset. Input: - data: any dataset where the last column holds the labels. Returns the entropy of the dataset. """ entropy = 0.0 ########################################################################### # TODO: Implement...
5,349,340
def get_input(prompt=None): """Sets the prompt and waits for input. :type prompt: None | list[Text] | str """ if not isinstance(prompt, type(None)): if type(prompt) == str: text_list = [Text(prompt, color=prompt_color, new_line=True)] elif type(...
5,349,341
def alpha_liq(Nu, lyambda_feed, d_inner): """ Calculates the coefficent of heat transfer(alpha) from liquid to wall of pipe. Parameters ---------- Nu : float The Nusselt criterion, [dimensionless] lyambda_feed : float The thermal conductivity of feed, [W / (m * degreec celcium)] ...
5,349,342
def get_dataset(opts): """ Dataset And Augmentation """ if opts.dataset == 'camvids': mean, std = camvids.get_norm() train_transform = train_et.ExtCompose([ # et.ExtResize(size=opts.crop_size), train_et.ExtRandomScale((0.5, 2.0)), train_et.ExtRandomHorizo...
5,349,343
def gen_sankey_diagram_distribute_query(query_statement, params, final_entites_name): """ 桑基图数据分布查询 :param query_statement: :param params: :param final_entites_name: :return: """ query_statement = dgraph_get_project_count(query_statement) # 第一层的节点 first_level_sql = """select a.c...
5,349,344
def draw_rotation_button(button_data: ButtonData) -> None: """Draw the rotation button according to the button data given. This essentially consists into filling the button surface and drawing a little arrow onto it. """ if button_data['drawable']: button_surface = button_data['surface'] ...
5,349,345
def declare(objective:str, displayname:str=None, criteria:str="dummy"): """ objective:str -> The id/name given to a scoreboard displayname:str -> The name that will be displayed on screen criteria:str -> The criteria of the scoreboard """ f = f"scoreboard objectives add {objective} {criteria}" ...
5,349,346
def complement_angle(angle): """ 90 minus angle, in degrees""" return 90 - angle;
5,349,347
def parse_custom_commands(command, separator=";"): """Parse run custom command string into the commands list :param str command: run custom [config] command(s) :param str separator: commands separator in the string :rtype: list[str] """ if not command: return [] return command.stri...
5,349,348
def lower_volatility_band(c, dev_target, band_target, center_target): """ | Calculates the lower volatility band | Name: lower\_volatility\_band\_\ **c**\ \_times\_\ **band_target.name**\ &\ **dev_target.name**\ \_over\_\ **center_target.name** :param c: Multiplier constant :type c: float :para...
5,349,349
def find_by_attr(node, value, name="name", maxlevel=None): """Identical to :any:`search.find_by_attr` but cached.""" return search.find_by_attr(node, value, name=name, maxlevel=maxlevel)
5,349,350
def training(request): """ Function: training * training top """ def _get_selected_object(): project_name = request.session.get('training_view_selected_project', None) selected_project = Project.objects.get(name=project_name) model_name = request.session.get('training_v...
5,349,351
def remind(phenny, input): """Set a reminder""" m = r_command.match(input.bytes) if not m: return phenny.reply("Sorry, didn't understand the input.") length, scale, message = m.groups() length = float(length) factor = scaling.get(scale, 60) duration = length * factor if durat...
5,349,352
def compile_shader(path_to_glslc, shader_path, stage, out_name, md5_name): """ -fauto-map-locations SPIR-V and later GLSL versions require inputs and outputs to be bound to an attribute location, this just assigns them automagically -fauto-bind-uniforms SPIR-V and later GLSL versions require uniforms to ha...
5,349,353
def set_random_seed(seed, device=None): """ Set random seed before running training. Refs: https://qiita.com/TokyoMickey/items/cc8cd43545f2656b1cbd https://github.com/chainer/chainer/issues/4550 """ print( "==> Set manual random seed to {} in process PID={} PPID={} on device={}"...
5,349,354
def get_timestamps_from_sensor_folder(sensor_folder_wildcard: str) -> NDArrayInt: """Timestamp always lies at end of filename. Args: sensor_folder_wildcard: string to glob to find all filepaths for a particular sensor files within a single log run Returns: Numpy array o...
5,349,355
def plot(topography, subplot_location=111): """ Plot an image of the topography using matplotlib. Parameters ---------- topography : :obj:`SurfaceTopography` Height information """ # We import here because we don't want a global dependence on matplotlib import matplotlib.pyplot ...
5,349,356
def vehicles_missing(request): """ Displays to users their theft reports """ reports = TheftReport.objects.all() return render(request, "vms/theft_reports.html", { 'reports': reports, })
5,349,357
def isfile(path): """ Test for existence of input file. """ if not os.path.isfile(path): log("Input file not found: %s" % path) sys.exit(1) else: return os.path.abspath(path)
5,349,358
def create_distribution_p_dest(tfs): """ Calculates probability distributions of choosing a destination. Note that city zones correspond to positions in datatensor and not the origional IDs from the city_zone_coordinates.index array. """ p_dest = np.zeros( ( tfs.number_zones, ...
5,349,359
def get_limits(data): """ Get the x, y ranges of the ST data. """ y_min = 1e6 y_max = -1e6 x_min = 1e6 x_max = -1e6 for doc in data: x = doc["x"] y = doc["y"] y_min = y if y < y_min else y_min y_max = y if y > y_max else y_max x_min = x if x < x_min e...
5,349,360
def test_upload_list(staff_client): """Listview does not support GET""" response = staff_client.get(api_path) assert response.status_code == status.HTTP_405_METHOD_NOT_ALLOWED
5,349,361
def get_bool(prompt: str | None = None, default: bool = False) -> bool: """Gets a boolean response from the command line. :param prompt: Input prompt. :param default: Default value used if no characters are typed. :return: Input boolean. """ input_str = input(_prompt_from_message(prompt, defau...
5,349,362
def create_config_file(access_key='', secret_key=''): """ Creates a config file for secret stuff. Option to provide keys. Parameters: access_key: Unsplash access key. secret_key: Unsplash secret key. """ config = configparser.ConfigParser() if not os.path.exists('config.ini'): ...
5,349,363
def proj_helsinki(x, y): """Project Helsinki coordinates into ETRS-GK25 (EPSG:3879). https://www.hel.fi/helsinki/fi/kartat-ja-liikenne/kartat-ja-paikkatieto/paikkatiedot+ja+-aineistot/koordinaatistot_ja+_korkeudet/koordinaatti_ja_korkeusjarjestelmat # pylint: disable=line-too-long """ # pylint: disable...
5,349,364
def _check_start_stop(raw, start, stop): """Aux function.""" out = list() for st in (start, stop): if st is None: out.append(st) else: try: out.append(_ensure_int(st)) except TypeError: # not int-like out.append(raw.time_as...
5,349,365
def main(function, js): """Console script for es_reindex.""" args = json.loads(js) config = args['config'] # e.g. --json='{"config": "./es_index_tool/data/example_config.json"}' tool = ESIndexTool(config_path=config) if 'id' not in args: tool.reindex() else: # e.g., --json='{...
5,349,366
def read( datapath, qt_app=None, dataplus_format=True, gui=False, start=0, stop=None, step=1, convert_to_gray=True, series_number=None, use_economic_dtype=True, dicom_expected=None, orientation_axcodes="original", **kwargs ): """Returns 3D data and its metadata. ...
5,349,367
def simulate(rmg, diffusion_limited=True): """ Simulate the RMG job and run the sensitivity analysis if it is on, generating output csv files diffusion_limited=True implies that if it is a liquid reactor diffusion limitations will be enforced otherwise they will not be in a liquid reactor """ ...
5,349,368
def test_sombrero_start(): """ Checks if the second and last values are right. """ xbegin = -0.899999995500383 ybegin = 8.99884295089148e-06 test = so.stingray(0.18, -0.9, 0, 50) assert math.isclose(test[0][1], xbegin) assert math.isclose(test[1][1], ybegin)
5,349,369
def sum_squares2(n): """ Returns: sum of squares from 1 to n-1 Example: sum_squares(5) is 1+4+9+16 = 30 Parameter n: The number of steps Precondition: n is an int > 0 """ # Accumulator total = 0 print('Before while') x = 0 while x < n: print('Start loo...
5,349,370
def make_bgm( music_path_list: list, output_dir: str, output_tmp_filename: str, music_total_time: int = 0, fade_time: list = [1000, 1000], ) -> str: """ 调整BGM时长以适应视频 Args: music_path_list (list): BGM文件的存放路径 output_dir (str): 转换过后BGM文件的输出路径 output_tmp_filename (st...
5,349,371
def read_image(src): """Read and resize individual images""" im = cv2.imread(src, cv2.IMREAD_COLOR) im = cv2.resize(im, (COLS, ROWS), interpolation=cv2.INTER_CUBIC) return im
5,349,372
def add_db_entry(): """ Store received data to database if validation is okay :return: validation information and error code """ data = request.get_json() app.logger.debug("Received Data (POST)") app.logger.debug(pformat(data)) # Make sure the data is valid validation, err_...
5,349,373
def pattern_classifier(data, pattern_threshold): """Return an array mask passing our selection.""" return data["key_pattern"] > pattern_threshold
5,349,374
def is_scalar(a) -> bool: """ Tests if a python object is a scalar (instead of an array) Parameters ---------- a : object Any object to be checked Returns ------- bool Whether the input object is a scalar """ if isinstance(a, (list, tuple)): return False...
5,349,375
def median(ts: TimeSeries, /, window_length: int = 3) -> TimeSeries: """ Calculate a moving median. On n-dimensional data, filtering occurs on the first axis (time). Parameters ---------- ts Input TimeSeries window_length Optional. Kernel size, must be odd. The default is ...
5,349,376
def execute_read_query(connection, query): """Execute a read query on the postgres database. Args: connection (Psycopg2 Connection): The connection to the postgres database. query (string): The SQL query to be run. Returns: list(tuples): The results of the SQL query. """ l...
5,349,377
def extract_strings_from_file(filename): """ extracts strings from a provided filename Returns the a list of extracted strings found in a provided filename. Entries are stripped when processing and lines leading with a comment are ignored. Args: filename: the filename Returns: ...
5,349,378
def event_income(): """ >>> SELECT event.name, SUM((((registration.ticket * (100 - registration.discount)) * event.ticket_price) / 100)) AS price FROM registration INNER JOIN event ON (registration.event_id = event.id) GROUP BY event.name """ tickets_price = F('ticket') * (100 - F('discount')) *...
5,349,379
def convert_polynomial_coefficients(A_in, B_in, C_in, D_in, oss=False, inverse=False, parent_aperture=None): """Emulate some transformation made in nircam_get_polynomial_both. Written by Johannes Sahlmann 2018-02-18, structure largely based on nircamtrans.py code by Coli...
5,349,380
def spinner_runner_factory(spec, t_compile, extra_commands): """Optimized spinner runner, which receives the spec of an animation, and controls the flow of cycles and frames already compiled to a certain screen length and with wide chars fixed, thus avoiding any overhead in runtime within complex spinners, ...
5,349,381
def _project_im_rois(im_rois, im_scale_factor, im_crop): """Project image RoIs into the rescaled training image.""" im_rois[:, 0] = np.minimum( np.maximum(im_rois[:, 0], im_crop[0]), im_crop[2]) im_rois[:, 1] = np.minimum( np.maximum(im_rois[:, 1], im_crop[1]), im_crop[3]) im_rois[:, 2] ...
5,349,382
def evaluate_error_absolute(poses_to_test: List[Tuple[str, kapture.PoseTransform]], poses_ground_truth: List[Tuple[str, kapture.PoseTransform]] ) -> List[Tuple[str, float, float]]: """ Evaluate the absolute error for poses to a ground truth. :param po...
5,349,383
def restricted_offset(parent_dimensions, size, offset): """ Get offset restricted by various factors """ limit_x = (parent_dimensions[0] - size[0]) / 2 limit_y = (parent_dimensions[1] - size[1]) / 2 x = clamp(offset[0], -limit_x, limit_x) y = clamp(offset[1], -limit_y, limit_y) return x, y
5,349,384
def plot_object_var(ax, arr, top=10, color=DEFAULT_COLOR, label=None, alpha=1.): """Plots a bar plot into an matplotlib axe. Parameters ---------- ax: plt.axes.Axes axe where to add the plot arr: array like Array of object values color: str (default DEFAULT_COLOR) color...
5,349,385
def wt_sgrna(target='none'): """ Return the wildtype sgRNA sequence. The construct is composed of 3 domains: stem, nexus, and hairpins. The stem domain encompasses the lower stem, the bulge, and the upper stem. Attachments are allowed pretty much anywhere, although it would be prudent to r...
5,349,386
def export_nodes(nodes, csvfilepath): """ Writes the standard nodes data in `nodes` to the CSV file at `csvfilepath`. """ with open(csvfilepath, "w") as csv_file: csvwriter = csv.DictWriter(csv_file, STANDARD_NODE_HEADER_V0) csvwriter.writeheader() for node in nodes: ...
5,349,387
def _var_network(graph, add_noise=True, inno_cov=None, invert_inno=False, T=100, initial_values=None): """Returns a vector-autoregressive process with correlated innovations. Useful for testing. Example: graph=num...
5,349,388
def build_features(component, borders, initial_group): """ Integrate peaks within similarity components and build features :param component: a groupedROI object :param borders: dict - key is a sample name, value is a (n_borders x 2) matrix; predicted, corrected and transformed to normal values b...
5,349,389
def test_rl(): """Test the RL algorithm using an openai gym environment""" ENVS = ('Pendulum-v0', 'MountainCarContinuous-v0', 'BipedalWalker-v3', 'LunarLanderContinuous-v2', 'BipedalWalkerHardcore-v3') ENV = ENVS[0] model_dir = os.path.join(os.getcwd(), 'models') os.makedirs(os.path.j...
5,349,390
def get_cred_fh(library: str) -> str: """ Determines correct SimplyE credential file """ if library == "BPL": return ".simplyE/bpl_simply_e.yaml" elif library == "NYPL": return ".simplyE/nyp_simply_e.yaml" else: raise ValueError("Invalid library code passsed")
5,349,391
def create_app(enviornment): """Construct the core application.""" app = Flask(__name__, static_url_path = "") app.config.from_object(Config) if enviornment == 'test': app.config['TESTING'] = True return app db.init_app(app) with app.app_context(): # Imports fr...
5,349,392
async def on_member_update(before: Member, after: Member): """ """ # todo pass
5,349,393
def list_characters(caller, character_list, roster_type="Active Characters", roster=None, titles=False, hidden_chars=None, display_afk=False, use_keys=True): """ Formats lists of characters. If we're given a list of 'hidden_chars', we compare the list of names in character_list to that, ...
5,349,394
def initLogging(logFilename): """Init for logging """ logging.basicConfig( level = logging.DEBUG, #format = '%(name)-12s.%(lineno)-4d %(levelname)-8s %(message)s', format = 'LINE %(lineno)-4d %(levelname)-8s %(message)s', # ('%(name)-1...
5,349,395
def test_list_g_day_max_length_nistxml_sv_iv_list_g_day_max_length_1_2(mode, save_output, output_format): """ Type list/gDay is restricted by facet maxLength with value 5. """ assert_bindings( schema="nistData/list/gDay/Schema+Instance/NISTSchema-SV-IV-list-gDay-maxLength-1.xsd", instanc...
5,349,396
def destroyDomain(): """ Delete the domain. Warning, deletes all items as well! """ global sdbConnection global sdbDomain sdbConnect() try: sdbConnection.delete_domain(config.AWS_SDB_DOMAIN_NAME) sdbDomain = None return except Exception as e: debug(e) ...
5,349,397
def weighted_percentiles(a, percentiles, weights=None): """Compute weighted percentiles by using interpolation of the weighted ECDF. Parameters ---------- a : np.ndarray Vector of data for computing quantiles percentiles : np.ndarray Vector of percentiles in [0, 100] weights...
5,349,398
def mirror_image(images: List[str], registry: Registry): """Synchronize all source images to target registry, only pushing changed layers.""" sync_config = SyncConfig( version=1, creds=[registry.creds], sync=[sync_asset(image, registry) for image in images], ) with NamedTemporary...
5,349,399