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def io_loop(): """ Create new io loop for each test, and tear it down after. """ loop = salt.ext.tornado.ioloop.IOLoop() loop.make_current() try: yield loop finally: loop.clear_current() loop.close(all_fds=True)
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def inverse_sphere_distances(batch, dist, labels, anchor_label): """ Function to utilise the distances of batch samples to compute their probability of occurence, and using the inverse to sample actual negatives to the resp. anchor. Args: batch: torch.Tensor(), batch ...
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def add_module_path(folder): """Adds a new search path to the list of search paths.""" import os __path__.append(os.path.abspath(folder))
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def get_recording(sleeps=False): """Get list of recorded steps. :param sleeps: set False to exclude recording sleeps """ # TODO. atm will always use CLICK # TODO. Add examples global recording # pylint: disable=W0602 output = [] top = None action_name = "Click" for item in reco...
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def wrap_onspace(text, width): """ A word-wrap function that preserves existing line breaks and most spaces in the text. Expects that existing line breaks are posix newlines (\n). """ return reduce(lambda line, word, width=width: '%s%s%s' % (line, ' \n'[(len(line[line.rfind('\n...
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def xsd_simple_type_factory(elem, schema, parent): """ Factory function for XSD simple types. Parses the xs:simpleType element and its child component, that can be a restriction, a list or an union. Annotations are linked to simple type instance, omitting the inner annotation if both are given. """ ...
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def test_add_user_to_group(onefs_client, created_user, created_group): """Ensure that a user can be added to a group successfully.""" assert onefs_client.add_user_to_group( user_name=created_user[0], group_name=created_group[0], ) is None
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def setup_logger(run_mode="training", log_level=10, console_logging=True): """ Call logger create module and setup the logger for current run params: run_mode - str - optional - Default - training params: log_level - int - optional - Default - 20 - INFO params: console_logging - Boolean - optional -...
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def amen_solve(A, f, x0, eps, kickrank=4, nswp=20, local_prec='n', local_iters=2, local_restart=40, trunc_norm=1, max_full_size=50, verb=1): """ Approximate linear system solution in the tensor-train (TT) format using Alternating minimal energy (AMEN approach) :References: Sergey Dolgov,...
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def get_vss(ts, tau_p): """ Compute candidates of VS for specified task tau_p """ if tau_p == None: return [] C, T, D = extract(ts) R = rta(C, T) _VS = _get_vs(C, T, R, task_name_to_index(ts, tau_p)) _VS.sort() VS = [] vs = Server(0, 0, None) # ignore duplicates for s i...
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def groupby( entities: Iterable["DXFEntity"], dxfattrib: str = "", key: "KeyFunc" = None ) -> Dict[Hashable, List["DXFEntity"]]: """ Groups a sequence of DXF entities by a DXF attribute like ``'layer'``, returns a dict with `dxfattrib` values as key and a list of entities matching this `dxfattrib`. ...
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def py_binary(name, srcs=[], deps=[], main=None, base=None, **kwargs): """python binary. """ target = PythonBinary(name, srcs, deps, main, ...
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def train_test_split(data_filepath, num_train=10, num_test=10): """Split a dataset into training and test sets.""" df = pd.read_csv(data_filepath, sep=',', header=None) data = df.values train = data[:2*num_train, :] test = data[2*num_train:2*(num_train+num_test), :] ind = np.argsort(train[:,-1...
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def get_filings(app: Flask = None): """Get a filing with filing_id.""" r = requests.get(f'{app.config["LEGAL_URL"]}/internal/filings') if not r or r.status_code != 200: app.logger.error(f'Failed to collect filings from legal-api. {r} {r.json()} {r.status_code}') raise Exception return r....
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def _uno_struct__setattr__(self, name, value): """Sets attribute on UNO struct. Referenced from the pyuno shared library. """ return setattr(self.__dict__["value"], name, value)
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def load_imgs_from_tree(data_dir, img_sub_folder=None, fovs=None, channels=None, dtype="int16", variable_sizes=False): """Takes a set of imgs from a directory structure and loads them into an xarray. Args: data_dir (str): directory containing folders of images ...
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def register(): """Registers the user.""" if g.user: return redirect(url_for('user_home')) error = None if request.method == 'POST': if not request.form['username']: error = 'You have to enter a username' elif not request.form['email'] or '@' not in request.form['em...
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def test_single_while_2(): """ Feature: JIT Fallback Description: Test fallback with control flow. Expectation: No exception. """ @ms_function def control_flow_while(): x = Tensor(7).astype("int32") y = Tensor(0).astype("int32") while x >= y: y += x ...
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def build_and_predict_model(ml_input_df): """ Create a standardized feature matrix X and target array y. Returns the model and accuracy statistics """ import cuml from cuml.metrics import confusion_matrix feature_names = ["college_education", "male"] + [ "clicks_in_%d" % i for i in ...
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def codes_new_from_file(fileobj, product_kind, headers_only=False): """ @brief Load in memory a message from a file for a given product. The message can be accessed through its id and will be available\n until @ref grib_release is called.\n \b Examples: \ref get_product_kind.py "get_product_kind.p...
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def list_resources(path, long_format=None, relations=False): """List resources in a given DMF workspace. Args: path (str): Path to the workspace long_format (bool): List in long format flag relations (bool): Show relationships, in long format Returns: None """ t = C...
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def calc_streamtemp(tas): """ Global standard regression equation from Punzet et al. (2012) Calculates grid cell stream temperature based on air temperature Both input and output temperature are in K""" # global constants, taken from Punzet et al., 2012 c0 = 32; c1 = -0.13; c2 = 1.94 ...
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def _process(proc_data): """ Final processing to conform to the schema. Parameters: proc_data: (List of Dictionaries) raw structured data to process Returns: List of Dictionaries. Structured data to conform to the schema. """ # nothing more to process return proc_data
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def _extractor_image_dependencies(): """Defines external repositories necessary for extractor images.""" go_repository( name = "com_github_bazelbuild_bazelisk", importpath = "github.com/bazelbuild/bazelisk", tag = "v1.3.0", ) go_repository( name = "com_github_mitchellh_go...
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def get_station_info(my_token, station_id): """ This function gets all the information on the station ---------- Input: my_token (str) token generated from "token request page" station_id (str) ---------- Output: dictionary of station information """ station_url = '{}stations/{}'.format(base_url, s...
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def start(task): """ Start cache and start the Stanford parser """ startCache(task) startServer(task.stanfordParserConfig())
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def test_salt_cp(master, minion, salt_cp, tempfiles): """ Test copying a file from the master to the minion """ tfile = tempfile.NamedTemporaryFile(delete=True) tfile.close() dest = tfile.name try: contents = "id: foo" sls = tempfiles.makeslsfile(contents) assert mast...
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def json_response(f, *args, **kwargs): """Wrap a view in JSON. This decorator runs the given function and looks out for ajax.AJAXError's, which it encodes into a proper HttpResponse object. If an unknown error is thrown it's encoded as a 500. All errors are then packaged up with an appropriate Con...
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def tests_pyenv(session: nox_poetry.Session): """ Runs pytest with coverage on the latest patch of each available pyenv minor python version at least 3.7. """ _run_tests(session)
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def check_fit_input(coordinates, data, weights, unpack=True): """ Validate the inputs to the fit method of gridders. Checks that the coordinates, data, and weights (if given) all have the same shape. Weights arrays are raveled. Parameters ---------- coordinates : tuple of arrays Ar...
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def main(): """ Main :return: void """ a = ProbabilityTable({"Werewolf": 3, "Possessed": 1, "Villager": 8, "Bodyguard": 1, "Medium": 1, "Seer": 1}, ["Player1", "Player2", "Player3", "Player4", "Player5", "Player6", "Player7", "Player8", "Player9...
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def _sigint_handler(sig, frame): """Signal handler for ^C.""" global polite_stop if not polite_stop: print('Stop requested. Regression will stop safely at next iteration. ' 'Press ^C again to force quit.') polite_stop = True else: print('Force quitting now.') ...
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def get_logger(name, handler=logging.StreamHandler(sys.stderr), level=logging.DEBUG): """ encapsulate get logger operation :param name: logger name :param handler: logger handler, default is stderr :param level: logger level, default is debug :return: logger """ logger = logging.getLogge...
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def update_params(layers, param_grads, learning_rate): """ Function to update the parameters of the given layers with the given gradients by gradient descent with the given learning rate. """ for layer, layer_backprop_grads in zip(layers, param_grads): for param, grad in zip(layer.get_params...
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def get_local_beneficiaries(map_lat: float, map_lng: float, map_zoom: int) -> DataFrame: """Return only projects that are fairly close to the map's centre.""" return beneficiaries[ (map_lat - 100 / map_zoom < beneficiaries.lat) & (beneficiaries.lat < map_lat + 100 / map_zoom) & (map_lng...
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def parse_args(args): """ Parse command line parameters :param args: command line parameters as list of strings :return: command line parameters as :obj:`argparse.Namespace` """ parser = argparse.ArgumentParser( description="Build html reveal.js slides from markdown in docs/ dir") p...
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def main(model=None, new_model_name="imasc", output_dir="IMaSC", n_iter=10): """Set up the pipeline and entity recognizer, and train the new entity.""" random.seed(0) if model is not None: nlp = spacy.load(model) # load existing spaCy model print("Loaded model '%s'" % model) else: ...
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def imayavi_remove_source(src): """Safely remove a specific vtk source Args: src (vtk_data_source): vtk data source to remove """ src.stop() try: try: src.data.release_data() except TraitError: src.data.release_data_flag = 1 src.cell_scalars_n...
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def lines_to_word_occurrences(in_file, stdout): """For each line of input, output (word, 1) for each word in the line""" for line in in_file: for word in WORD_RE.findall(line): _write(stdout, word, 1)
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def create_atoms(atoms, atom_dict): """Transform the atom types in a molecule (e.g., H, C, and O) into the indices (e.g., H=0, C=1, and O=2). """ atoms = [atom_dict[a] for a in atoms] return np.array(atoms)
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def uint2float(A,bits,x_min,x_max=None): """ Converts uint[bits] to the corresponding floating point value in the range [x_min,x_max]. """ if x_max is None: x_min,x_max = x_range(x_min) return x_min + (x_max - x_min) * A / ((1 << bits) - 1)
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def test_get_all_pos_error(): """Check that we get an error when we don't specify qso.""" cat = catalog.Catalog("foo") with pytest.raises(ValueError, match="Only know how to do QSOs right now"): cat.get_all_pos() return
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def partCmp(verA: str, verB: str) -> int: """Compare parts of a semver. Args: verA (str): lhs part to compare verB (str): rhs part to compare Returns: int: 0 if equal, 1 if verA > verB and -1 if verA < verB """ if verA == verB or verA == "*" or verB == "*": return 0 if int(verA) > int(verB): return 1 ...
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def plot_clustering(X, Y_hat, color=[1, 0, 0], mode='outer', show=False, savefn=''): """Plot boundaries produced by segmentation.""" # Initialize subplots fg, ax = plt.subplots(ncols=1, figsize=(10, 10)) # Plot prediction ...
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def OrigPosLemConcordancer(sentences, annots, textMnt, wordType="word", nrows=10): """Output HTML for the text (including lemma and pos tags) identified by the AQAnnotation (typically a sentence annotation). Below the sentence (in successive rows) output the original terms, parts of speech, and lemma terms for...
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def get_args(**kwargs): """Generate cli args Arguments: kwargs[dict]: Pair value in which key is the arg and value a tuple with the help message and default value Returns: Namespace: Args namespace object """ parser = argparse.ArgumentParser() for key, (help, default) in kwa...
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def dispfps(handler, n=100): """Average iterations per second over last n iterations. Args: handler (generator): Generator that yields data. n (int, optional): Number of iterations to average over. Defaults to 100. Yields: pyobj: Forwards data from handler """ times = deque...
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def show_hidden_article(request, id): """ 展示隐藏的文章 """ db = connect_mongodb_database(request) article = db.articles.find_one({ 'Id':int(id), 'IsPublic': False }) if article is None: return HttpResponse(404) return render_admin_and_back(request, 'show-hidden-article.html',...
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def MakeNormalPmf(mu, sigma, num_sigmas, n=201): """Makes a PMF discrete approx to a Normal distribution. mu: float mean sigma: float standard deviation num_sigmas: how many sigmas to extend in each direction n: number of values in the Pmf returns: normalized Pmf """ pmf = Pmf() ...
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def _val_from_env(env, attr): """Transforms env-strings to python.""" val = os.environ[env] if attr == 'rules': val = _rules_from_env(val) elif attr == 'wait_command': val = int(val) elif attr in ('require_confirmation', 'no_colors'): val = val.lower() == 'true' return va...
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def histogram(a, bins, ranges): """ Examples -------- >>> x = np.random.uniform(0., 1., 100) >>> H, xedges = np.histogram(x, bins=5, range=[0., 1.]) >>> Hn = histogram(x, bins=5, ranges=[0., 1.]) >>> assert np.all(H == Hn) """ hist_arr = np.zeros((bins,), dtype=a.dtype) return ...
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def testfile(path, shell='/bin/sh', indent=2, env=None, cleanenv=True, debug=False, testname=None): """Run test at path and return input, output, and diff. This returns a 3-tuple containing the following: (list of lines in test, same list with actual output, diff) diff is a generator...
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def is_valid_python_code(src_string: str): """True if, and only if, ``src_string`` is valid python. Valid python is defined as 'ast.parse(src_string)` doesn't raise a ``SyntaxError``' """ try: ast_parse(src_string) return True except SyntaxError: return False
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def rss_format_export_post(): """ :return: """ try: payload = request.get_json(force=True) # post data in json except: payload = dict(request.form) # post data in form encoding if 'link' in payload: link = read_value_list_or_not(payload, 'link') else: link...
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def send_file(app, name, content_type, file_like, node, user): """Upload file to OSF.""" file_like.seek(0) with app.test_request_context(): upload_url = storage_utils.get_waterbutler_upload_url( user, node, path=name, ) requests.put( upload_url...
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def on_command(name: Union[str, CommandName_T], *, logger: Logger, checkfunc: Callable[[CommandSession], bool] = None, wait_for: Callable[[], bool] = None, cooldown: int = 0, use_default_infolog: bool = True, aliase...
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def fillOrders(barberId, start, end, step=1): """ Создаёт заказы для барбера с iD = barberId :param: barberId: id барбера :type: int :param start: время начало работы :type: datetime.datetime :param end: время конца работы :type: datetime.datetime :param step: время с которым будет с...
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async def urlcheck( api: vq.API, event: vq.Event(), sender: vq.Sender() ): """ Update data for user """ link = re.fullmatch( config.LINK_PATTERN, event.object.message.text ) if event.object.message.peer_id > vq.PEER: if not re.fullmatch( config.LINK_PATTE...
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def SetUp(filename, rel_path=RELATIVE_TEST_PATH): """ SetUp returns a parsed C Program.""" if not os.path.exists(PICKLE_FILE): KVStore.CreateNewStore(PICKLE_FILE, redhawk.GetVersion()) return G.GetLanguageSpecificTree(os.path.join(rel_path, filename), PICKLE_FILE, language='c')
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def setup_agents(model, initial_locations): """Load the simulated initial locations and return a list that holds all agents. """ initial_locations = initial_locations.reshape(2, model["n_types"], 30000) agents = [] for typ in range(model["n_types"]): for i in range(model["n_agents_by_t...
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def properties_to_csv(prop_dict : dict, csv_filename : str, epoch_key : str, append : bool=True) -> None: """ Writes a CSV summarizing how training is going by comparing the properties of the generated structures during evaluation to the training set. Also writes the properties to ...
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async def get_active_infraction( ctx: Context, user: MemberOrUser, infr_type: str, send_msg: bool = True ) -> t.Optional[dict]: """ Retrieves an active infraction of the given type for the user. If `send_msg` is True and the user has an active infraction matching the `infr_t...
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def __compute_optical_function_vs_s(transporter, particles, optical_function_name): # todo Adjust """ Compute values of optical function vs s for one particle, which coordinates are x_min, theta_x_min, ... or x_mean - delta_x, ... :param transporter: transport function :param particles: BunchCon...
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def plot_arb_images(label, data, label_string): """ Neatly displays arbitrary numbers of images from the camera returns fig Parameters: ----------- label: array of values that each image is labeled by, e.g. time data: array of arrays of image data label_string: string describing label,...
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def listGslbServer(**kargs): """ List the Servers of KT Cloud GSLB. * Args: - zone(String, Required) : [KR-CA, KR-CB, KR-M, KR-M2] * Examples: print(gslb.listGslbServer(zone='KR-M')) """ my_apikey, my_secretkey = c.read_config() if not 'zone' in kargs: return c.printZon...
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def imencode(image, pix_fmt=IM_RGB, quality=DEFAULT_QUALITY): """ Encode image into jpeg codec Adapt convert image pixel color with pix_fmt Parameters ---------- image: source pix_fmt: format of pixel color. Default: RGB quality: JPEG quality image. Returns ------- ...
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def db_load(infile, outfile, db_type): """ Calls the linux db_load command to load up the database files The command is: db_load -c duplicates=1, -f infile -T -t [ btree | hash | queue | recno ] outfile """ assert db_type is "btree" or db_type is "hash" or \ ...
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def split_train_test_data(X, Y, train_rate): """ 将数据集划分为训练集与测试集 :param X: 数据集的特征 :param Y: 数据集的标签 :param train_rate: 训练集的比例 :return: 训练集的特征;训练集的标签;测试集的特征;测试集的标签 """ number = len(X) number_train = int(number * train_rate) number_test = number - number_train train_X = [] tr...
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def nonsingular_concat(X, vector): """Appends vector to matrix X iff the resulting matrix is nonsingular. Args: X (np.array): NxM Matrix to be appended to vector (np.array): Nx1 vector to be appended to X Returns: new_X (np.array): Nx(M+1) Matrix or None """ # Cast vector to matrix ...
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def get_oxidation_state(element: Union[str, Element]) -> int: """Get a typical oxidation state If it doesn't exist in the database, 0 is returned. Args: element (str/ Element): Input element Return: Oxidation state of the element. """ try: return oxidation_state_dic...
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def __quality_indexes( graph: nx.Graph, communities: object, scoring_function: Callable[[object, object], float], summary: bool = True, ) -> object: """ :param graph: NetworkX/igraph graph :param communities: NodeClustering object :param summary: boolean. If **True** it is returned an a...
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def test_non_positive_integer_max_exclusive003_1571_non_positive_integer_max_exclusive003_1571_v(mode, save_output, output_format): """ TEST :Facet Schemas for string : facet=maxExclusive and value=-1 and document value=-5 """ assert_bindings( schema="msData/datatypes/Facets/nonPositiveInteg...
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def serve_scripts(scripts): """ Combines one or more script files into one and embeds them in the small autoCSP JavaScript framework. """ debug = DEBUG and not LOCKED_MODE views_path = os.path.expanduser(PATHS['VIEWS']) with open(views_path + 'static/sha256.js', 'r') as f: sha256js = f.r...
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def readFromDB_DSC_authorityKey(authorityKey: bytes, connection: Connection) -> DocumentSignerCertificate: """Reading from database""" try: logger.info("Reading DSC object from database with authority key.") return connection.getSession().query(DocumentSignerCertificateStorage).filter(DocumentSi...
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def history_report(history, config=None, html=True): """ Test a model and save a history report. Parameters ---------- history : memote.HistoryManager The manager grants access to previous results. config : dict, optional The final test report configuration. html : bool, opt...
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def matrix_reduce(): """ reduce :return: """ isses = tf.InteractiveSession() # 对角值 X = tf.constant([[1, 2, 3, 4], [2, 3, 4, 5], [3, 4, 5, 6]]) logger.info("X\n%s" % X.eval()) logger.info("tf.reduce_sum(X)\n {0}".format(tf.reduce_sum(X).eval())) logger.info("tf.reduce_sum(X,axis=...
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def derive_from_dem(dem): """derive slope and flow direction from a DEM. Results are returned in a dictionary that contains references to ArcPy Raster objects stored in the "in_memory" (temporary) workspace """ # set the snap raster for subsequent operations env.snapRaster = dem # ...
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def from_error_details(error: str, message: str, stacktrace: Optional[str]) -> BidiException: """Create specific WebDriver BiDi exception class from error details. Defaults to ``UnknownErrorException`` if `error` is unknown. """ cls = get(error) return cls(error, message, stacktrace)
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def tangential_proj(u, n): """ See for instance: https://link.springer.com/content/pdf/10.1023/A:1022235512626.pdf """ return (ufl.Identity(u.ufl_shape[0]) - ufl.outer(n, n)) * u
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def test_no_env(argv, expected): """Test outside of any supported CI env. :param iter argv: Mock sys.argv. :param dict expected: Expected return value of get_arguments(). """ environ = dict(PATH='.') actual = get_arguments(['download'] + argv, environ) assert actual == expected
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def _RemoveEdges(tris, match): """tris is list of triangles. er is as returned from _MaxMatch or _GreedyMatch. Return list of (A,D,B,C) resulting from deleting edge (A,B) causing a merge of two triangles; append to that list the remaining unmatched triangles.""" ans = [] triset = set(tris) ...
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def viewdata(data): """Prints out readable information of the output of getSearchData""" print('_' * 50) print('Number of Results: ' + str(data[0]['numResults'])) print('\nSearchURL: ' + data[0]['searchURL']) print('_' * 50) i = 1 for m in data[1]: print(str(i) + '. ') for...
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def cli(): """Extinct Gaming CLI Tools"""
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def get_course_authoring_url(course_locator): """ Gets course authoring microfrontend URL """ return configuration_helpers.get_value_for_org( course_locator.org, 'COURSE_AUTHORING_MICROFRONTEND_URL', settings.COURSE_AUTHORING_MICROFRONTEND_URL )
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def sumDwellStateSub(params): """Threaded, sums dwell times with 1 day seeing no change & accounting for fractional days""" (dfIn,dwellTime,weight) = params dfOut = dfIn.copy(deep=True) while dwellTime > 1: if dwellTime > 2: increment = 1 else: increment = dwellT...
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def launch_attacker_view(): """ Accepts a JSON payload with the following structure: { "target": "nlb-something.fqdn.com", "attacker": "1.2.3.4" } If the payload parses correctly, then launch a reverse shell listener using pexpect.spawn then spawn the auto-sploit.sh tool and ente...
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def stretch(alignment, factor): """Time-stretch the alignment by a constant factor""" # Get phoneme durations durations = [factor * p.duration() for p in alignment.phonemes()] alignment = copy.deepcopy(alignment) alignment.update(durations=durations) return alignment
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def train(epoch, train_loader, model, contrast, criterion_l, criterion_ab, optimizer, opt): """ one epoch training """ model.train() contrast.train() batch_time = AverageMeter() data_time = AverageMeter() losses = AverageMeter() l_loss_meter = AverageMeter() ab_loss_meter = Aver...
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def create_issue_digraph(epics_stories): """Return a graph representation of all issues. Blocking dependencies are modelled as graph edges. """ log.info('creating graph...') graph = nx.DiGraph() for epic, stories in epics_stories.items(): for issue in stories: graph.add...
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def loadmesh(basedirMesh, ptcode=None, meshname=None, invertZ=True, fname=None): """ Load Mesh object, flip z and return Mesh meshname includes ctcode """ if fname is None: try: mesh = vv.meshRead(os.path.join(basedirMesh, ptcode, meshname)) except FileNotFoundError: ...
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def get_transport(socket, host, kerberos_service_name, auth_mechanism='NOSASL', user=None, password=None): """ Creates a new Thrift Transport using the specified auth_mechanism. Supported auth_mechanisms are: - None or 'NOSASL' - returns simple buffered transport (default) - 'PLAIN...
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def _read_node( data, pos, md_total ): """ 2 3 0 3 10 11 12 1 1 0 1 99 2 1 1 2 The quantity of child nodes. The quantity of metadata entries. Zero or more child nodes (as specified in the header). """ child_count = data[ pos ] pos += 1 md_count = data[ pos ] pos += 1 for i in range( child_count ): pos, m...
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def _large_flag_fit(x, yDat, yFit, initz, speciesDict, minSize, errBound): """ Attempts to more robustly fit saturated lyman alpha regions that have not converged to satisfactory fits using the standard tools. Uses a preselected sample of a wide range of initial parameter guesses designed to fit sa...
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def mse_large_arrays_masked(dataA: 'LargeArray', dataB: 'LargeArray', mask: 'LargeArray', dtype: Type, batchSizeFlat=1e8): """ Compute MSE between two HDF datasets, considering elements where the mask is set to true (one). Computation is performed in batches to decrease memory re...
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def test_shell_cmd_inputs_1(): """additional input with provided position""" my_input_spec = SpecInfo( name="Input", fields=[ ( "inpA", attr.ib( type=str, metadata={"position": 1, "help_string": "inp1", "argstr":...
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def xml_elem_or_str_to_text(elem_or_xmlstr, default_return=""): """ Return string with all tags stripped out from either etree element or xml marked up string If string is empty or None, return the default_return >>> root = etree.fromstring(test_xml) >>> xml_elem_or_str_to_text(test_xml, None)...
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def sequence_equals(sequence1, sequence2): """ Inspired by django's self.assertSequenceEquals Useful for comparing lists with querysets and similar situations where simple == fails because of different type. """ assert len(sequence1) == len(sequence2), (len(sequence1), len(sequence2)) for i...
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def test_load_external(): """ This function tests if a model that has been trained on a different computer can be loaded and used on a different computer. """ x = np.linspace(-10.0, 10.0, 2000) y = x ** 2 x = np.reshape(x, (x.shape[0], 1)) estimator = MRMP() estimator.load_nn("save...
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def create_or_update_user_profile(sender, instance, created, **kwargs): """If the User is being created and does not have a UserProfile model, create one.""" if created or not hasattr(instance, 'userprofile'): UserProfile.objects.create(user=instance) instance.profile.save()
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def extract_parameters_by_usrDict(preModel, preDict, usrModel, usrDict, paraDim): """ Extract desired parameters from a pretrained embedding model based on user dictionary """ if paraDim not in [32, 64, 128, 256]: raise RuntimeError("We only support 32, 64, 128, 256 dimensions now") fi = op...
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