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def is_phone_in_call_video_tx_enabled(log, ad): """Return if phone in tx_enabled video call. Args: log: log object. ad: android device object Returns: True if phone in tx_enabled video call. """ return is_phone_in_call_video_tx_enabled_for_subscription( log, ad, get...
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def fit_t1_results(times: Sequence[float], z_expectations: Sequence[float], z_std_errs: Sequence[float] = None, param_guesses: tuple = (1.0, 15, 0.0)) \ -> ModelResult: """ Wrapper for fitting the results of a T1 experiment for a single qubit; simply extracts key parameters and pa...
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def find_mapping_net_assn(context, network_id, host_id): """ Takes in a network id and the host id to return an SEA that creates that mapping. If there's no association found, a None is returned :context: The context used to call the dom API :network_id: The neutron network id. :host_id: The Ho...
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def get_emergency_passphrase(): """Returns emergency passphrase provided in environment variable""" passphrase = os.environ.get(EMERGENCY_PASSPHRASE_VARIABLE) if passphrase is None: raise MissingVariableError(EMERGENCY_PASSPHRASE_VARIABLE) return passphrase
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def bubble_sort(seq): """Inefficiently sort the mutable sequence (list) in place. seq MUST BE A MUTABLE SEQUENCE. As with list.sort() and random.shuffle this does NOT return """ changed = True while changed: changed = False for i in xrange(len(seq) - 1): if seq...
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def numba_cuda_DeviceNDArray(xd_arr): """Return cupy.ndarray view of a xnd.xnd in CUDA device. """ cbuf = pyarrow_cuda_buffer(xd_arr) # DERIVED return pyarrow_cuda_buffer_as.numba_cuda_DeviceNDArray(cbuf)
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def create_dataset(project, dataset_id, description, tags, app_creds): """ Create a dataset with the given parameters. :param project: The project_id used to define the dataset. :param dataset_id: The string to name the dataset with. :param description: A string to use to describe the dataset. ...
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def deg2rad(dd): """Convertit un angle "degrés décimaux" en "radians" """ return dd/180*pi
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def createView(database, view_name, map_func): """ Creates and returns a Cloudant view. """ my_design_document = design_document.DesignDocument(database, "_design/names") my_design_document.add_view(view_name, map_func) return view.View(my_design_document, view_name, map_func)
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def find_modifiable_states(state_data): """ Find indices into the state_data array, Args: state_data (ndarray): States array, in the form returned by cmd_states.get_cmd_states.fetch_states Returns: (ndarray): Numeric index of states that represent dwells with modifiable chip counts ...
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def get_tool_def( trans, hda ): """ Returns definition of an interactive tool for an HDA. """ job = get_dataset_job( hda ) # TODO: could use this assertion to provide more information. # assert job is not None, 'Requested job has not been loaded.' if not job: return None tool = tran...
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def clean_object_caches(obj): """ Clean all object caches on the given object """ global _TYPECLASSMODELS, _OBJECTMODELS if not _TYPECLASSMODELS: from src.typeclasses import models as _TYPECLASSMODELS #if not _OBJECTMODELS: # from src.objects import models as _OBJECTMODELS #p...
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async def async_turn_on( hass, entity_id=ENTITY_MATCH_ALL, ) -> None: """Turn all or specified humidifier on.""" data = {ATTR_ENTITY_ID: entity_id} if entity_id else {} await hass.services.async_call(DOMAIN, SERVICE_TURN_ON, data, blocking=True)
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def create_multi_file_info(directory, files, piece_length): """ Return dictionary with the following keys: - pieces: concatenated 20-byte-sha1-hashes - name: basename of the directory (default name of all torrents) - files: a list of dic...
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def get_datasource_bounding_box(datasource_uri): """Get datasource bounding box where coordinates are in projected units. Args: dataset_uri (string): a uri to a GDAL dataset Returns: bounding_box (list): [upper_left_x, upper_left_y, lower_right_x, lower_right_y] in ...
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def set_inline_label(ax, line, label=None, xval=None, size=6, alpha=ALPHAS['translucent'], color=None, ha='center', va='center', bbox=dict(facecolor=COLORS['white'], edgecolor=COLORS['white'], al...
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def instance_id(instance): """ Return id of instance in hex form. Helps in logs/debugs/development troubleshooting. """ instance_id = hex(id(instance))[2:] # remove leading 0x return instance_id
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def distributions_to_lower_upper_bounds(model, negative_allowed=[], ppf=(0.05,0.95), save_to_model=False): """ Converts distributions to uniform distributions by taking specified ppf Args: model: The model object negative_allowed: list of params which are allowed to be negative ppf:...
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def refresh_database(engine, server, jobs, source_obj, container_obj): """ This function actually performs the refresh engine: server: Engine object jobs: list containing running jobs source_obj: source object used to refresh from snapshot or timeflow container_obj: VDB container """ ...
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def create_feature_indices(header): """ Function to return unique features along with respective column indices for each feature in the final numpy array Args: header (list[str]): description of each feature's possible values Returns: feature_indices (dict): unique feature names as...
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def lower(word): """Sets all characters in a word to their lowercase value""" return word.lower()
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def band_pass(data, scale_one, scale_two): """ Band pass filter Difference of two gaussians G(data, s1) - G(data, s2) """ bp = gaussian(data, scale=scale_one) - gaussian(data, scale=scale_two) return bp
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def _in_dir(obj, attr): """Simpler hasattr() function without side effects.""" return attr in dir(obj)
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def file_exists(work_dir, path): """ goal: check if file exists type: (string, string) -> bool """ prev_dir = os.getcwd() try: os.chdir(work_dir) if os.path.exists(path) and os.path.isfile(path): return True else: return False os.chdir(pr...
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def write_intermediate_inputs(synthesis_dir, model_wrapper, targets): """Write intermediate inputs""" with open(f"{synthesis_dir}/{constants.MODEL_WRAPPER_FILENAME}", "wb") as model_wrapper_file: cloudpickle.dump(model_wrapper, model_wrapper_file) targets = np.save(f"{synthesis_dir}/{constants.TARGE...
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def save_speech(data, p): """ Saves mic data to temporary WAV file. Returns filename of saved file """ filename = 'output' # writes data to WAV file data = ''.join(data) wf = wave.open(filename + '.wav', 'wb') wf.setnchannels(1) wf.setsampwidth(p.get_sample_size(pyaudio.paInt16)) ...
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def job_submit(address: Optional[str], job_id: Optional[str], runtime_env: Optional[str], runtime_env_json: Optional[str], working_dir: Optional[str], entrypoint: Tuple[str]): """Submits a job to be run on the cluster. Example: >>> ray job submit -- python my_script.py --a...
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def load_stat_features_others_windows(patient_list, data_path="statistic_features.csv", statistics_list=["std_x", "std_y", "std_z"], n_others_windows=40): """ Returns: X_all_data - ndarray of shape(n_records, n_new_features), feature-vector consist of features of curre...
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def map_format(value, pattern): """ Apply python string formatting on an object: .. sourcecode:: jinja {{ "%s - %s"|format("Hello?", "Foo!") }} -> Hello? - Foo! """ return soft_unicode(pattern) % (value)
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def Cadzow(Xk, K, N, tol_ratio=10000, max_iter=10): """ Implement Cadzow denoising Parameters ---------- Xk : signal to denoise K : number of most significant members to take N : number of samples in the signal tol_ratio : min ratio of (K+1)th singular value / Kth singular value ...
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def toposortGroup(candidateIrefs): """Given a set of IRefs, returns a list of irefs toposorted based on the include graph.""" graph = {} for iRef in candidateIrefs: graph[iRef] = set(includePaths(iRef)) candidateSet = set(candidateIrefs) output = [] for group in toposort.toposort(graph):...
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def make_template(template): """Given an OpenSearch template, return a Template instance for it. >>> template = make_template('http://localhost/search?q={term}') >>> template.substitute(term='opensearch syntax') 'http://localhost/search?q=opensearch+syntax' >>> """ terms = decompose_templat...
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def search(T, dist, w, i=0): """Searches for w[i:] in trie T with distance at most dist """ if i == len(w): if T is not None and T.is_word and dist == 0: return "" else: return None if T is None: return None f = search(T.s[w[i]], dist, w, i + 1) ...
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def get_weighted_embeddings(embeddings, weights): """Multiply a sequence of word embeddings with their weights :param embeddings: a sequence of word embeddings got from embedding_lookup, size of [batch_size, seq_len, embed_dim] :param weights: a sequence of weights for each word, size of [batch_size,...
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def importWidgetModules(basicWidgets): """ importWidgetModules(basicWidgets: widget) -> None Find all widget package under ./widgets/* to add to the spreadsheet registry """ packageName = __name__.lower().endswith('.init') and \ __name__[:-5] or __name__ widgetDir = os.path.join( ...
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def merge_pdfs(input_pdfs, output_pdf): """Combine multiple pdfs to single pdf. Args: input_pdfs (list): List of path files. output_pdf (str): Output file. """ pdf_merger = PdfFileMerger() for path in input_pdfs: pdf_merger.append(path) with open(output_pdf, 'wb') as fi...
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def _adjust_values(females, males): """ Adjusting the values as the man moves in with the woman """ females = females.copy() males = males.copy() males.loc[:,"hid"] = females["hid"].tolist() males.loc[:,"east"] = females["east"].tolist() males.loc[:,"hhweight"] = females["hhweight"].tol...
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def create_other_features(data): """Create columns for each other feature extracted.""" # Features list features_list = ['Fibra_ottica', 'Cancello_elettrico', 'Cantina', 'Impianto_di_allarme', 'Mansarda', 'Taverna', 'Cablato', 'Idromassaggio', 'Piscina'] # Crea...
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def test_local_retrieve(): """Test retrieving the stored data from the local file system""" local = Local(directory='tmp/') local.persist(path='foobar.pickle', data=pickle.dumps({'foo': 'bar'})) response = local.retrieve(path="foobar.pickle") assert pickle.loads(response) os.remove('tmp/fooba...
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def handler_good(): """Return True for a good event handler.""" return True
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def form_gov(): """ Collects the data from the government form and redirects them to the appropriate results page to report the final results """ collected_data = [] form_gov = InputData_gov() if request.method == "POST": try: collected_data.append("Government") ...
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def convert_to_grayscale(buffer): """Converts the image in the given StringIO object to grayscale. Args: buffer (StringIO): The original image to convert. Must be in RGB mode. Returns: StringIO: The grayscale version of the original image. Raises: ValueError: If the provided image is not in RGB m...
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def test_runner_with_db(dataset, time_start, time_diff): """Adding in db_connector add in a DB Connector as the next step so that we can test out the functionality together """ session = dataset end_date = datetime.datetime(2020, 5, 17, 13, 0, 5) replay_rate = 1.0 db_connector_te...
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def line_visible(plaza_geometry, line, delta_m): """ check if the line is "visible", i.e. unobstructed through the plaza""" intersection_line = plaza_geometry.intersection(line) # a line is visible if the intersection has the same length as the line itself, within a given delta delta = meters_to_degree...
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def log_mail_message(message, app): """If mails are disabled, their content will be outputted in the debug output""" app.logger.debug( f"A mail was supposed to be send:\n" f"[SUBJECT]:\n{message.subject}\n" f"[BODY]:\n{message.body}\n" f"[END]" )
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def explain_clusters(M, X, documents): """ Pick examples that are close to each cluster center. """ _, D = X.shape K, D_ = M.shape assert D == D_ for k in range(K): print("Topic #{}".format(k)) D = ((X - M[k])**2).sum(1) for idx in D.argsort()[:10]: print...
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def get_event_keywords(dict_event_windows, result_folder, args, analysis_mode=False): """ Get event keywords in each event window parameters ----------- :param dict_event_windows: dictionary Dictionary of list of EventWindows key - frequency_threshold-change_threshold :param res...
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def bad_gateway(message="Bad gateway"): """ A shortcut for creating a :class:`~aiohttp.web.Response` object with a ``502`` status and the JSON body ``{"message": "Bad gateway"}``. :param message: text to send instead of 'Bad gateway' :type message: str :return: the response :rtype: :class:...
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def chromatic_induction_factors(n: FloatingOrArrayLike) -> NDArray: """ Return the chromatic induction factors :math:`N_{bb}` and :math:`N_{cb}`. Parameters ---------- n Function of the luminance factor of the background :math:`n`. Returns ------- :class:`numpy.ndarray` ...
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def get_correctly_labeled_entries(all_entries): """Get entries that are labeled and evaluated as correct.""" return [ entry for entry in all_entries if convert_to_bool(entry[9]) and convert_to_bool(entry[10]) ]
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def data_context_connectivity_context_connectivity_serviceuuid_latency_characteristictraffic_property_name_delete(uuid, traffic_property_name): # noqa: E501 """data_context_connectivity_context_connectivity_serviceuuid_latency_characteristictraffic_property_name_delete removes tapi.topology.LatencyCharacteris...
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def test_bootstrap_reproducibility(random): """Test that bootstrapping uses the internal random state.""" data = np.random.randn(50) boots1 = algo.bootstrap(data, seed=100) boots2 = algo.bootstrap(data, seed=100) assert_array_equal(boots1, boots2) with pytest.warns(UserWarning): # Depre...
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def test__parser__grammar_oneof(seg_list): """Test the OneOf grammar.""" fs = KeywordSegment.make('foo') bs = KeywordSegment.make('bar') g = OneOf(fs, bs, code_only=False) c = ParseContext() # Check directly assert g.match(seg_list, parse_context=c).matched_segments == (bs('bar', seg_...
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def tag_state_quantities(blocks, attributes, labels, exception=False): """ Take a stream states dictionary, and return a tag dictionary for stream quantities. This takes a dictionary (blk) that has state block labels as keys and state blocks as values. The attributes are a list of attributes to tag. ...
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def optional_list(): """Return an OptionalList action.""" class OptionalList(argparse.Action): """An action that supports an optional list of arguments. This is a list equivalent to supplying a const value with nargs='?'. Which itself only allows a single optional value. """ ...
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def test_exercise_2(): """Solution for exercise 2.""" dirname = os.path.dirname(os.path.realpath(__file__)) df = pd.read_pickle(f"{dirname}/material/data-consumption-function.pkl") def construct_predicted_values(income, alpha, beta, gamma): return alpha + beta * income ** gamma mock_rslt =...
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def test_get_adviser_by_sso_email_non_staff_or_active(flags): """ Test that AuthenticationFailed is raised if SSO email matches and user has neither is_staff nor is_active flags set. """ AdviserFactory(email='some@email', **flags) with pytest.raises(AuthenticationFailed) as excinfo: get_...
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def instancesUserLookup(query=None, query_type=None): """ Return a list of sites to which the requested user belongs Display on /search """ if query_type == 'username': kwargs = {'$or': [{'users.username.site_owner': {'$regex': query, '$options': 'i'}}, {'users.username.site_editor': {'$re...
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def volume_kerucut_melingkar(radius: float, tinggi: float) -> float: """ referensi dari kerucut melingkar https://en.wikipedia.org/wiki/Cone >>> volume_kerucut_melingkar(2, 3) 12.566370614359172 """ return pi * pow(radius, 2) * tinggi / 3.0
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def vgg19(pretrained=False, **kwargs): """VGG 19-layer model (configuration "E") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet """ if pretrained: kwargs['init_weights'] = False model = VGG(make_layers(cfg['E']), **kwargs) if pretrained: model....
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def xmprv_from_seed(seed: Octets, version: Octets, decode: bool = True) -> bytes: """derive the master extended private key from the seed""" if isinstance(version, str): # hex string version = bytes.fromhex(version) if version not in PRV: m = f"invalid private version ({version})" ...
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def load_empty_config_setup() -> DictConfig: """Return a dictionary containing all the MLOQ setup config values set to None.""" return OmegaConf.load(setup_yml.src)
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def list_devices(): """List available pointer devices.""" devices = xi.get_pointer_devices() for device in devices: click.echo(message=device)
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def apply_dfg(dfg: Dict[Tuple[str, str], int], start_activities: Dict[str, int], end_activities: Dict[str, int], activities: Dict[str, int], parameters=None, variant=DEFAULT_VARIANT_DFG) -> Tuple[PetriNet, Marking, Marking]: """ Apply the chosen IM algorithm to a DFG graph obtaining a Petri net along with an in...
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def make_extrap_log_func(func, extrap_x_l=None): """ Generate a version of func that extrapolates to infinitely many gridpoints. Note that extrapolation here is done on the *log* of the function result, so this will fail if any returned values are < 0. It does seem to be better behaved for SFS calc...
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def get_logger(name): """每次调用,都是一个新的 """ return LogCollector(name)
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def test_train_ws_tknzr_on_wiki_text_2( cfg_file_path: str, exp_name: str, is_uncased: bool, max_vocab: int, min_count: int, seed: int, tknzr_file_path: str, ) -> None: """Must successfully train :py:class:`lmp.tknzr.WsTknzr` on :py:class:`lmp.dset.WikiText2Dset`.""" argv = [ WsTknzr.tknzr_name, ...
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def ShowString(name, msg): """Return a html page listing a file and a 'back' button""" return """ <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//EN"> <html> <head> <title>%s</title> </head> <body> <FORM><INPUT TYPE="BUTTON" VALUE="%s" ONCLICK="history.go(-1)"></FORM> <h3>%s</h3> ...
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def game_loop(screen, buttons, items, music, sound, g_settings, particles=None, percentthing=None): """Manage events, return a gamestate change if it happens, and update the screen""" while True: # Check and manage event queue gs_change = gf.check_events(buttons, music, sound, g_settings) ...
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def fake_request(method, url, **kwargs): """Constructs and sends a :class:`Request <Request>`. :param method: method for the new :class:`Request` object. :param url: URL for the new :class:`Request` object. :param params: (optional) Dictionary or bytes to be sent in the query string for the :class:`Requ...
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def assert_step_match( step: Step, expected_step_func: str, expected_step_arguments: List[Dict[str, Any]], step_registry: StepRegistry, ): """Assert that the Step correctly matches in the Registry""" print( "{} STEP '{}' SHOULD MATCH {}".format( cf.orange(">>"), c...
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def get_grafana_dashboards_url(admin: bool) -> List[Dict]: """ Get a list of dashboard available to the tenant. :admin (bool) A boolean representing admin status. Return a list of dashboards dictionaries. """ urls = [] req = format_grafana_admin_request('/api/search?query=[Grafonnet]') ...
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def assert_binance_trades_result( trades: List[Dict[str, Any]], trades_to_check: Optional[Tuple[int, ...]] = None, ) -> None: """Convenience function to assert on the trades returned by binance's mock 'trades_to_check' is a tuple of indexes indicating which trades should be checked. For exa...
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def validate_comma_separated_list(argument): """Convert argument to a list.""" if not isinstance(argument, list): argument = [argument] last = argument.pop() items = [i.strip(u' \t\n') for i in last.split(u',') if i.strip(u' \t\n')] argument.extend(items) return argument
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def test_core_profile_constraint(entity): """Test that multiple profiles with the same schema cannot be added""" with raises(Exception): CoreProfile(entity=entity, identity="http://bad.example.com").save()
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def get_view(brain): """Setup for view persistence test""" fig = brain._figures[0][0] if mlab.options.backend == 'test': return fig.scene.camera.parallel_scale = 50 assert fig.scene.camera.parallel_scale == 50 view, roll = brain.show_view() return fig.scene.camera.parallel_scale, vie...
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def model_description(formula): """Interpret model formula and obtain a model description. This function receives a string with a formula describing a statistical model and returns an object of class ModelTerms that describes the model interpreted from the formula. Parameters ---------- fo...
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def setup(): """ Parse command line arguments Returns parsed arguments """ parser = argparse.ArgumentParser(description='Search Reddit Thing') parser.add_argument( 'subreddit', help="Enter the name of the subreddit to search.") parser.add_argument( 'query', h...
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def eintragen_kaeufe(kliste, id_zu_objekt, id_zu_profil): """ bekommt eine Liste von dicts mit dem Inhalt von je einer Zeile der registration-Tabelle der alten db. Außerdem ein mapping der produkt_id der alten db zu model-Instanzen der neuen. Trägt entsprechende Käufe ein und gibt dict produkt_id -> mo...
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def update_status(payload: Something, context: EventContext) -> Something: """ Updates status of payload to PROCESSED and puts previous status in history. :param payload: Something, object :param context: EventContext """ logger.info(context, "updating something status", extra=extra(something_i...
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def get_holdout_set(train, target_column): """This is a sample callable to demonstrate how the Environment's `holdout_dataset` is evaluated. If you do provide a callable, it should expect two inputs: the train_dataset (pandas.DataFrame), and the target_column name (string). You should return two DataFrames:...
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def field_type(value): """Return the type of the field, using the Ref object""" if isinstance(value, Ref): return "RefValue" else: return "StringValue"
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def test_read_covars_manual_input(tmp_observe_class, covar_details_mapped_covar_mapped_names_tmp_observe_class, additional_text, monkeypatch): """ test reading of covars from manual input by user. Monkeypatches reliance on function 'input' ...
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def remove_overlapping_squares_v2(squares_dict, array_type): """ removes squares with min_x and min_y that are both within 40 pixels of each other :param squares_dict: dict with overlapping squares :param array_type: "Air_100" is the only one currently supported :return: dict of squares and datafram...
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def depth_to_space(x, scale, use_default=False): """Depth to space function.""" if use_default: out = tf.depth_to_space(x, scale) else: b, h, w, c = list(map(int, x.shape)) out = tf.reshape(x, [b, h, w, scale, scale, -1]) out = tf.transpose(out, [0, 1, 3, 2, 4, 5]) ou...
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def camelcase(key_name): """Convert snake-case to camel-case.""" parts = iter(key_name.split('_')) return next(parts) + ''.join(i.title() for i in parts)
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def get_spectrum_from_grid(config: str, values: bool, **kwargs): """Prints info about grid given in config. Args: config: Config to build grid from. values: If True, print all values per axis. """ # create grid with open(config, 'r') as f: cfg = yaml.safe_load(f) grid =...
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def calculate_sigmoid(alpha_value = 1, TDE = 0, sigma=.1): """ SOFTMAX VBDE: f(s, a, \sigma) = \frac{2e^{-|\alpha TDE| / \sigma}}{1-e^{-|\alpha TDE|/\sigma}} :return: """ temp = np.exp(-np.abs(alpha_value *TDE + 1e-16) / sigma) return 2*temp / (1-temp)
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def getprop(obj, string): """ Par exemple 'position.x' :param string: :return: """ tab = string.split('.') curr_val = obj for str in tab: curr_val = getattr(curr_val, str) return curr_val
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def config_aws_region_name(aws_region_name="us-east-1"): """Adds region to cfncluster configuration file. If the configuration file doesn't exist the template version is created with make_config_file. The "aws_region_name" field of the configuration file is rewritten based on the function args. ...
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def _StartWWW(run_callback, scan_ops): """Starts services necessary for operating in the Viewfinder WWW server environment. Invokes 'run_callback' asynchronously. """ client = db_client.DBClient.Instance() # Log emails and texts to the console in local mode. if options.options.local_services: EmailMana...
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def test_git_clone(mock_popen): """Test git_clone().""" expected_git_url = 'ssh://git@git.example.com:test.git' expected_git_clone_dir = '/no/dir' expected_popen_args = [ 'git', 'clone', expected_git_url, expected_git_clone_dir, ] # Setup mocked subprocess.Popen ...
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def get_options(): """Parses options.""" parser = argparse.ArgumentParser( description="Dynamic inventory for Decapod.") group = parser.add_mutually_exclusive_group(required=True) group.add_argument( "-l", "--list", help="List all inventory.", action="store_true", ...
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def extend(vals, inds, shape): """ Makes an array of shape `shape` where indices `inds` have vales `vals` """ z = np.zeros(shape, dtype=vals.dtype) z[inds] = vals return z
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def check_model(model_name, model, model_type): """ Check the type of input `model` . Args: model_name (str): Name of model. model (Object): Model object. model_type (Class): Class of model. Returns: Object, if the type of `model` is `model_type`, return `model` itself....
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def load_score_map(input_prefix, day, epsilon=0.000000001, excluded_indices=None, restricted_indices=None): """TODO: The centrality maps were pre-sorted in decreasing order???""" score_file_path = input_prefix + '_%i.csv' % day if not os.path.exists(score_file_path): raise IOError("File is missing: ...
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def compute_tnacs( hvib ): """ Computes the time-averaged nonadiabatic couplings for a given hvib. hvib ( list of list of matrices ): The vibronic hamiltonian for all timesteps returns: a matrix of time-averaged nonadiabatic couplings between all electronic states in meV """ nst...
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async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool: """Set up config entry.""" session = aiohttp_client.async_get_clientsession(hass) hass.data.setdefault(DOMAIN, {}) printer = SyncThru( entry.data[CONF_URL], session, connection_mode=ConnectionMode.API ) async...
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def center_binned_stats(*args, **kwargs): """ Same as scipy.stats.binned_statistic, but returns the bin centers (matching length of `statistic`) instead of the binedges. See docs.scipy.org/doc/scipy/reference/generated/scipy.stats.binned_statistic.html """ stat, binedges, binnumber = bi...
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def create_account(): """ Handles the user signing up to create an account Redirects them to the log in page with a message after if successful """ signUpForm = forms.RegisterFormFactory() if signUpForm.validate_on_submit(): netid,name,duke_email,phone_number,affiliation,password=extrac...
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