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def cost_aggregation(c_v, max_d): """ the formula Lr(p,d) = C(p,d) + min[Lr(p-r, d),Lr(p-r, d-1)+p1,Lr(p-r,d+1)+p1,miniLr(p-r, i)+p2] - minkLr(p-r,k) :param c_v: :param max_d: :return: sum of all the Lr """ (H, W, D) = c_v.shape p1 = 10 p2 = 120 Lr1 = ...
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def send_approved_resource_email(user, request, reason): """ Notify the user the that their request has been approved. """ email_template = get_email_template() template = "core/email/resource_request_approved.html" subject = "Your Resource Request has been approved" context = { "sup...
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def is_in_section_title(node: Element) -> bool: """Determine whether the node is in a section title""" from sphinx.util.nodes import traverse_parent warnings.warn('is_in_section_title() is deprecated.', RemovedInSphinx30Warning, stacklevel=2) for ancestor in traverse_parent(node): ...
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def create_number_type(lang): """ Creates a sort corresponding to the PDDL "number" """ parent = lang.get_sort("Real") lower = parent.lower_bound upper = parent.upper_bound lang.interval("number", parent, lower, upper)
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def _set_data_location(elec_meters, building): """Goes through each ElecMeter in elec_meters and sets `data_location`. Modifies `elec_meters` in place. Parameters ---------- elec_meters : dict of dicts building : string e.g. 'building1' """ for meter_instance in elec_meters: dat...
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def convert(im_fd: str, pc_fd: str, out_fd: str): """Converts 2D bbox in image to 3D bbox in pointcloud""" model = ObjectDetctor() im_fd_prefix = im_fd + IM_PREFIX pc_fd_prefix = pc_fd + PC_PREFIX frame_list = get_frame_ids(im_fd, pc_fd) i = 0 total_frames = len(frame_list) # down sampl...
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def common_mgr(): """ Create a base topology. This uses the ExtendedNMLManager for it's helpers. """ # Create base topology mgr = ExtendedNMLManager(name='Graphviz Namespace') sw1 = mgr.create_node(identifier='sw1', name='My Switch 1') sw2 = mgr.create_node(identifier='sw2', name='My S...
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def reshape_array_h5pyfile(array,number_of_gatesequences,datapoints_per_seq): """reshaping function""" new_array = np.reshape(array,(number_of_gatesequences,datapoints_per_seq),order='F') #order is important, for data as column, #use order F, this will give an number_of_gatesequences x datapoints_per_seq ma...
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def step060() -> None: """ Update the tsa of documents in elasticsearch """ logger.logMessage('Begin: elasticsearch bulk update') client = es.Elasticsearch(hostlist) def generate(): with open(renumFile,'r') as f: line = f.readline().rstrip() while line != '': ...
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def write_png_from_xr(png_path, dataset, bands, png_filled_path=None, fill_color='red', scale=None, low_res=False, no_data=-9999, crs="EPSG:4326"): """Write a rgb png from an xarray dataset. Note that using `low_res==True` currently causes the file(s) for `png_path` and `png_filled_pat...
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def build_value_counts_query(table: str, categorical_column: str, limit: int): """ Examples: SELECT {column_name}, COUNT (*) as frequency FROM `{table}` WHERE {not_null_str...
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def get_model_benchmarks_data(benchmark_runlogs_filepath: Path): """ Return Python dict with summary of model performance for one choice of training set size. """ benchmark_genlog = read_json(benchmark_runlogs_filepath) benchmark_runlog = read_json(benchmark_runlogs_filepath.parent / "runlog.jso...
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def make_labels(module_path, *names, **names_labels): """Make a namespace of labels.""" return collections.Namespace( *((name, Label(module_path, name)) for name in names), *((n, l if isinstance(l, Label) else Label(module_path, l)) for n, l in names_labels.items()), )
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def check_port_occupied(port, address="127.0.0.1"): """Check if a port is occupied by attempting to bind the socket and returning any resulting error. :return: socket.error if the port is in use, otherwise False """ s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: s.bind((address,...
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def test_heterogeneous_multiagent_env( common_config, pf_config, multicomponent_building_config, pv_array_config, ev_charging_config ): """Test multiagent env with three heterogeneous agents.""" building_agent ={ "name": "building", "bus": "675c", "cls": MultiCompone...
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def find_sublinks(artist_link): """Some artists have that many songs so we have multiple pages for them. This functions finds all subpages for given artist e.g if we have page freemidi/queen_1 script go on that page and seek for all specific hyperlinks. as a return we could get [freemidi/queen_1, fre...
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def class_mock(request, q_class_name, autospec=True, **kwargs): """Return mock patching class with qualified name *q_class_name*. The mock is autospec'ed based on the patched class unless the optional argument *autospec* is set to False. Any other keyword arguments are passed through to Mock(). Patch i...
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async def test_reclaim_pending_messages(redis_client, redis_pool, error_queue): """Test that unacked messages belonging to this consumer get reclaimed on startup""" # Add a message await redis_client.xadd( "my.dummy.my_event:stream", fields={ b"api_name": b"my.dummy", ...
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def kwargs_only(fn): """Wraps function so that callers must call it using keyword-arguments only. Args: fn: fn to wrap. Returns: Wrapped function that may only be called using keyword-arguments. """ if hasattr(inspect, 'getfullargspec'): # For Python 3 args = inspect.getfullargspec(fn) ...
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def _labeling_complete(labeling, G): """Determines whether or not LPA is done. Label propagation is complete when all nodes have a label that is in the set of highest frequency labels amongst its neighbors. Nodes with no neighbors are considered complete. """ return all(labeling[v] in...
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def get_random_id_str(alphabet=None): """ Get random integer and encode it to URL-safe string. """ if not alphabet: alphabet = BASE62 n = _random(RANDOM_ID_SOURCE_BYTES) return int2str(n, len(alphabet), alphabet)
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def multivariate_normal_pdf(x, mean, cov): """Unnormalized multivariate normal probability density function.""" # Convert to ndarray x = np.asanyarray(x) mean = np.asanyarray(mean) cov = np.asarray(cov) # Deviation from mean dev = x - mean if isinstance(dev, np.ma.MaskedArray): ...
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def remove_below(G, attribute, value): """ Remove attribute below certain value Parameters ---------- G : nx.graph Graph attribute : str Attribute value : float Value Returns ------- G : nx.graph Graph """ ...
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def format_header(header_values): """ Formats a row of data with bolded values. :param header_values: a list of values to be used as headers :return: a string corresponding to a row in enjin table format """ header = '[tr][td][b]{0}[/b][/td][/tr]' header_sep = '[/b][/td][td][b]' return ...
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def plot_confusion_matrix(cm: ndarray, classes: List[str], savefolder: str, filename: str = utils.timestamp() + '.png', figsize: Tuple[int, int] = (30,20)) -> str: """ Creates an image of a confusion ma...
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def getRandomWalk(initial_position: int, current_path: np.ndarray, adjacency_matrix: np.ndarray, heuristic: np.ndarray, pheromone: np.ndarray, alpha: float, max_lim: int, Q: float or None, R: float or None) -> np.ndarray: """ Function that given an array indicating the nodes ...
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def sample_circle(plane="xy", N=100): """Define all angles in a certain plane.""" phi = np.linspace(0, 2 * np.pi, N) if plane == "xy": return np.array([np.cos(phi), np.sin(phi), np.ones_like(phi)]) elif plane == "xz": return np.array([np.cos(phi), np.ones_like(phi), np.sin(phi)]) eli...
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def generate_today_word_cloud(path='images/'): """ generate today word cloud Args: path (str, optional): [description]. Defaults to 'images/'. """ terms_counts = get_term_count() if terms_counts: word_cloud = generate_word_cloud(terms_counts, drc_flag_color_map) word_clo...
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def load_attr(str_full_module): """ Args: - str_full_module: (str) correspond to {module_name}.{attr} Return: the loaded attribute from a module. """ if type(str_full_module) == str: split_full = str_full_module.split(".") str_module = ".".join(split_full[:-1]) str_at...
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def define_and_run_dnn_classifier(num_steps, logdir, lr=.1, batch_size=100): """Run a DNN classifier.""" feature_columns = [tf.contrib.layers.real_valued_column("pixels", dimension=784)] dnn_classifier = tf.estimator.DNNClassifier( feature_columns=feature_columns, n_classes=10, hidd...
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def conv(node: NodeWrapper, params: Dict[str, np.ndarray], xmap: Dict[str, XLayer]) -> List[XLayer]: """ONNX Conv to XLayer Conv conversion function""" logger.info("ONNX Conv -> XLayer Conv (+ BiasAdd)") assert len(node.get_outputs()) == 1 name = node.get_outputs()[0] bottoms = no...
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def plot_3D( Xdata, Ydata, Zdata, colormap="RdBu_r", color_list=None, x_min=None, x_max=None, y_min=None, y_max=None, z_min=None, z_max=None, title="", xlabel="", ylabel="", zlabel="", xticks=None, yticks=None, xticklabels=None, yticklabels=Non...
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def yices_bvconst_int32(n, x): """Conversion of an integer to a bitvector constant, returns NULL_TERM (-1) if there's an error. bvconst_int32(n, x): - n = number of bits - x = value The low-order bit of x is bit 0 of the constant. - if n is less than 32, then the value of x is truncated to ...
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def combination(n, k): """ 组合数 n!/k!(n-k)! :param n: :param k: :return: """ from scipy.special import comb return comb(n, k, exact=True)
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def save_report(report, output_dir, participant_id): """Saves HTML report.""" # Create output directory makedirs(output_dir, exist_ok=True) # Save fname = f'{output_dir}/{participant_id}_report.html' print(f'Saving HTML report to {fname}') _ = report.save(fname, open_browser=False, overwri...
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def insert_prize(conn, number, prize): """ Insert de premios """ try: cur = conn.cursor() logger.debug('INSERT PRIZE - "%s" / "%s"', number, prize) cur.execute(INSERT_PRIZE_QUERY, (number, prize, prize)) conn.commit() cur.close() return True except mysql.conn...
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def register_cors(app: FastAPI): """ 支持跨域 :param app: :return: """ if settings.BACKEND_CORS_ORIGINS: app.add_middleware( CORSMiddleware, allow_origins=settings.BACKEND_CORS_ORIGINS, allow_credentials=True, allow_methods=["*"], a...
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def merge_original_and_extra_vocab( tokenizer_name, dest_tokenizer_name=uuid.uuid4().hex[:6].upper(), src_wordpiece_vocab="wordpiece.vocab", mode="a", ): """ Merge original BERT model vocabulary with our extra vocabulary. Arguments tokenizer_name: str Valid model id on h...
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def create_carray(h5file_uri, type, shape): """Creates an empty chunked array given a file type and size. h5file_uri - a uri to store the carray type - an h5file type shape - a tuple indicating rows/columns""" h5file = tables.openFile(h5file_uri, mode='w') root ...
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def sort_dictionary_by_keys(input_dict): """ Sort the dictionary by keys in alphabetical order """ sorted_dict = {} for key in sorted(input_dict.keys()): sorted_dict[key] = input_dict[key] return sorted_dict
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def sorted_instructions(binview): """ Return a sorted list of the instructions in the current viewport. """ addrs = [] instructions = [] for ii in binview.instructions: if ii[1] not in addrs: instructions.append(instr(ii)) addrs.append(ii[1]) del addrs in...
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def setup_transfer_service(project_name: str, source_bucket: str, sink_bucket: str, start_date: datetime.date) -> None: """Set up a data transfer job between two buckets. Args: project_name: string like 'firehook-censoredplanet' source_bucket: GCS bucket to read from like 'censor...
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def log_rate_limits(hass, device_name, resp, level=logging.INFO): """Output rate limit log line at given level.""" if ATTR_PUSH_RATE_LIMITS not in resp: return rate_limits = resp[ATTR_PUSH_RATE_LIMITS] resetsAt = rate_limits[ATTR_PUSH_RATE_LIMITS_RESETS_AT] resetsAtTime = dt_util.parse_date...
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def quick_sort(seq): """ Реализация быстрой сортировки. Рекурсивный вариант. :param seq: любая изменяемая коллекция с гетерогенными элементами, которые можно сравнивать. :return: коллекция с элементами, расположенными по возрастанию. Examples: >>> quick_sort([0, 5, 3, 2, 2]) [0, 2, 2, 3,...
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def _geocode(address): """ Like :func:`geocode` except returns the raw data instead. :param str address: A location (e.g., "Newark, DE") somewhere in the United States :returns: str """ key = _geocode_request(address) result = _get(key) if _CONNECTED else _lookup(key) if _CONNECTED ...
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def main(): """Entrypoint function.""" prog_desc = 'Simple network socket client with customized \ workload support.' parser = ParameterParser(description=prog_desc) start_parser = parser.prepare(socket.socket) __populate_start_parser(start_parser) parser.parse_args()
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def easeOutBack(n, s=1.70158): """A tween function that overshoots the destination a little and then backs into the destination. Args: n (float): The time progress, starting at 0.0 and ending at 1.0. Returns: (float) The line progress, starting at 0.0 and ending at 1.0. Suitable for passing to...
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def clean_db(database, exp_config): """Clean insert example experiment entries to collections.""" database['experiments'].drop() database['experiments'].insert_many(exp_config[0]) database['trials'].drop() database['trials'].insert_many(exp_config[1]) database['workers'].drop() database['wor...
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def apply_corrections(chain): """ Apply phase0 and freq shift correction to individual FID data """ ds = chain._dataset set = chain.set time = chain.raw_combined.copy() xx = np.arange(time.shape[3]) / ds.sw _, ncoil, nfids, npts = chain.raw.shape if chain.do_freq_raw: chain....
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def test_11_log_file(capsys): """Verify that we can open a log file.""" with capsys.disabled(): config = {'log_file_name': 'tmp.log', 'logger_name': 'f', 'version': 'r1.0.0', 'migration_action': 'info'} pydbvolve.setup_file_logger(config) ...
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def print_multipage(path: Path, tick: int, rgb_image: np.ndarray, heatmaps: np.ndarray): """ Prints a multi-page PDF. """ with PdfPages(path) as pdf: height, width, _channels = rgb_image.shape figsize = width / float(DPI), height / float(DPI) fig = plt.figure(figsize=figsize) ...
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def multi_count_word(args, process_no=None): """ :param args: 参数字典 :param process_no: 进程数量,默认为 None, 即 CPU核数 :return: """ if process_no is None: process_no = cpu_count() logger.info('- ' * 30) logger.info(' {:d} 进程 n_gram 词组统计程序开始。。。。'.format(process_no)) # 词组长度 n_gram 窗...
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def normalize_query_result(result, sort=True): """ Post-process query result to generate a simple, nested list. :param result: A QueryResult object. :param sort: if True (default) rows will be sorted. :return: A list of lists of RDF values. """ normalized = [[row[i] for i in range(len(row))...
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def count_jobpairs(buildpairs: List) -> int: """ :param buildpairs: A list of build pairs. :return: The number of job pairs in `buildpairs`. """ counts = [len(bp['jobpairs']) for bp in buildpairs] return sum(counts)
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def unravel_params(nn_params, input_layer_size, hidden_layer_size, num_labels, n_hidden_layers=1): """Unravels flattened array into list of weight matrices :param nn_params: Row vector of model's parameters. :type nn_params: numpy.array :param input_layer_size: Number of units in th...
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def is_op_stack_var(ea, index): """ check if operand is a stack variable """ return idaapi.is_stkvar(idaapi.get_flags(ea), index)
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def test_beams(): """Beams with axial force""" # Analytic problem nodes = np.array([ [0, 0.0, 0.0], [1, 0.0, 6.0], [2, 4.0, 6.0]]) cons = np.array([ [-1, -1, -1], [0, 0, 0], [-1, -1, -1]]) mats = np.array([[200e9, 1.33e-4, 0.04]]) ...
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def get_circles(): """ Create 3 images each containing a circle at a different position. Returns: List([numpy array,]) of 3 circle images """ circles = [] x, y = np.meshgrid(range(256), range(256)) for d in range(30, 390, 120): img = np.zeros((256, 256), dtype=np.uint8...
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def load_sequences( fasta_file ): """! @brief load candidate gene IDs from file """ sequences = {} assembly_seq_order = [] with open( fasta_file ) as f: header = f.readline()[1:].strip() if " " in header: header = header.split(' ')[0] seq = [] line = f.readline() while line: if line[0] == '>': ...
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def test_action_not_configured(client, fake_identity): """Tests a non configured action call.""" # NOTE: recid can be dummy since it won't reach pass the resource view response = client.post( "/records/1234-abcd/draft/actions/non-configured", headers=HEADERS ) assert response.status_code ==...
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def compute_distance_fields(params, canvas_size, df=distance_to_cuboids): """Compute distance fields of size (canvas_size+2)^3 to specified primitives. params -- [b, *] canvas_size df -- distance_to_* """ grid_pts = th.stack(th.meshgrid([th.linspace(-1/(canvas_size-1), ...
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def restart_router(): """Restart the Traefik docker container. You can run this after updating the config (~/_mypaas/traefik.toml or staticroutes.toml) or to update Traefik after updating MyPaas. Your PAAS will be offline for a few seconds. """ image_name = "traefik:" + __traefik_version__ ...
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def url_retrieve(url: str, outfile: Path, overwrite: bool = False): """ Adapted from https://www.scivision.dev/python-switch-urlretrieve-requests-timeout/ """ outfile = Path(outfile).expanduser().resolve() if outfile.is_dir(): raise ValueError("Please specify full filepath, including filenam...
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def view_user_posts(request, pk=None): """View your own posts or others posts""" if pk is None: pk = request.user.pk user = get_object_or_404(User, pk=pk) return render(request, 'home/view_user_posts.html', {"pk": user.username, "user": user})
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def find_all_strobogrammatic_numbers(n: int): """ Returns all strobogrammatic numbers for a given number of digits. Args: int: number of digits Returns: A list of string with strobogrammatic numbers. """ result = numdef(n, n) return result
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def write_htmls(grouped_details, grouped_task, start_date, end_date, output_folder): """Write detailed dataframe and main page's task dataframe to html files Because of that Linux file name cannot contain slash, html file name of a task contains different characters(-_-) which are replaced with slash. ...
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def get_deploy_size_bytes(deploy: Deploy) -> int: """Returns size of a deploy in bytes. :deploy: Deploy to be written in JSON format. :returns: Size of deploy in bytes. """ size: int = len(deploy.hash) for approval in deploy.approvals: size += len(approval.signature) size += le...
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def find_coordinates( hass: HomeAssistantType, entity_id: str, recursion_history: Optional[list] = None ) -> Optional[str]: """Find the gps coordinates of the entity in the form of '90.000,180.000'.""" entity_state = hass.states.get(entity_id) if entity_state is None: _LOGGER.error("Unable to f...
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def make_hetero_tuple_unstructure_fn(cl: Any, converter, unstructure_to=None): """Generate a specialized unstructure function for a heterogenous tuple.""" fn_name = "unstructure_tuple" type_args = get_args(cl) # We can do the dispatch here and now. handlers = [ converter._unstructure_func....
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def get_dps(name: Optional[str] = None, resource_group_name: Optional[str] = None, tags: Optional[Mapping[str, str]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetDpsResult: """ Use this data source to access information about an existing IotHub Device P...
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def install(ctx): """Install platform firmware""" ctx.obj[COMPONENT_PATH_CTX_KEY] = [ ]
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def obtener_id_modulo_por_nombre(modulo: Union[str, None]) -> Union[str, None]: """Devuelve el UUID de un modulo por su nombre.""" if modulo: from cacao_accounting.database import Modulos MODULO = Modulos.query.filter_by(modulo=modulo).first() return MODULO.id else: return N...
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def qg8_graph_get_chunk(graph: qg8_graph, idx: int): """ Get a chunk from the graph according to its index provided the second argument `idx` """ if not isinstance(graph, qg8_graph): raise TypeError("Argument is not a qg8_graph") if idx > len(graph.chunks) - 1: raise ValueError("Inde...
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def InterruptStartForwardForVector(builder, numElems): """This method is deprecated. Please switch to Start.""" return StartForwardForVector(builder, numElems)
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def build_network( operations, cwd=None, rescheduled=None, endured=None, parallel=None, marshalled=None, node_props=None, renamer=None, excludes=None, ): """ The :term:`network` factory that does :term:`operation merging` before constructing it. :param nest: see ...
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def convert(source, target): """ Performs actuall conversion. Currently, 'source' has to be UnitFile and 'target' RCFile. """ if isinstance(source, UnitFile) and isinstance(target, RCFile): _unit2openrc(source, target) else: raise TypeError("Unsupported conversion")
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def test_addExt_imageFiles_mustExist_shouldPass(): """Tests the addExt function where the path exists, and the inputs are valid. """ groups = fslimage.FILE_GROUPS allowedExts = fslimage.ALLOWED_EXTENSIONS # (files_to_create, path, expected) tests = [ # Single files ...
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def merge_contents(cset, offset=None, callback=None): """ merge a :class:`pkgcore.fs.contents.contentsSet` instance to the livefs :param cset: :class:`pkgcore.fs.contents.contentsSet` instance :param offset: if not None, offset to prefix all locations with. Think of it as target dir. :para...
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def test_get_user(staff_client, user): """ Get a user """ profile = user.profile url = reverse("user_api-detail", kwargs={"username": user.username}) resp = staff_client.get(url) assert resp.status_code == 200 assert resp.json() == { "id": user.id, "username": user.userna...
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def main(): """Register subcommands and run taurus_cmd""" # set the log level to WARNING avoid spamming the CLI while loading # subcommands # it will be restored to the desired one first thing in taurus_cmd() taurus.setLogLevel(taurus.Warning) #register the subcommands register_subcommands...
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def write_dat(ds, file_name): """ This writes the .dat files that generate the intermediate parameters used by the Igor processing. Parameters ---------- ds: xarray Dataset The dataset containing the processed signal data. file_name: str The name of the file to save to. ...
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def test_four_who_likes_it_code_wars(): """Function that emulates test.assert_equals (likes(['Max', 'John', 'Mark']).""" from who_likes_it import likes assert likes(['Max', 'John', 'Mark']) == 'Max, John and Mark like this'
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def docker_volume_exist(volume): """Check if the docker-volume exists.""" cmd = "docker volume inspect {0}".format(volume) status = execute_subprocess(cmd) return status == 0
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def test_set_and_unset_launch_configuration_execute(): """Test the execute() of the SetLaunchConfiguration and UnsetLaunchConfiguration classes.""" lc1 = LaunchContext() assert len(lc1.launch_configurations) == 0 SetLaunchConfiguration('name', 'value').visit(lc1) assert len(lc1.launch_configuration...
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def get_embed_similarity(embed1, embed2, sim_measure="euclidean", num_top=None): """ Score alignments based on embeddings of two graphs """ if embed2 is None: embed2 = embed1 if num_top is not None and num_top != 0: # KD tree with only top similarities computed kd_sim = kd_...
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def test_onchain_middleman_their_unilateral_in(node_factory, bitcoind): """ This is the same as test_onchain_middleman, except that node l1 drops to chain, not l2, reversing the unilateral handling logic """ # We track channel balances, to verify that accounting is ok. coin_mvt_plugin = os.p...
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def get_ingredientes(): """ Devuelve una lista de todos los ingredientes. """ logger.info("IP: %s\n" % request.environ['REMOTE_ADDR'] + "Devuelve lista completa de los ingredientes") try: cx = db.connect() ings = bocadillos.get_ings_all(cx) cx.close() ...
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def pathmatch(path, patterns): """ Test whether the ``path`` string matches any of the strings in ``patterns``. ``path`` can be a relative file path, with both its basename and absolute path also tested against ``patterns``. :param path: The file path to test. :param patterns: An iterable o...
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def preprocess_meta_data(): """ preprocess the config for specific run: 1. reads command line arguments 2. updates the config file and set gpu config 3. configure gpu settings 4. define logger. """ args = get_args() config = read_config(args) gpu_in...
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def calc_water(scenario, years, days_in_year): """Calculate Water costs Function Args: scenario (object): The farm scenario years (int): The no. of years the simulation will analyse days_in_year (float): The number of days in a year Returns: cogs_water (list): Cost of Goods So...
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def vit_large_patch32_224_in21k(pretrained=False, **kwargs): """ ViT-Large model (ViT-L/32) from original paper (https://arxiv.org/abs/2010.11929). ImageNet-21k weights @ 224x224, source https://github.com/google-research/vision_transformer. """ model_kwargs = dict( patch_size=32, embed_...
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def test_md027_bad_block_quote_setext_heading_multiples_last_misaligned(): """ Test to make sure we get the expected behavior after scanning a good file from the test/resources/rules/MD026 directory that has atx headings that do not end with punctuation. """ # Arrange scanner = MarkdownScan...
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def _check_template(hass, value_template): """ Checks if result of template is true """ try: value = template.render(hass, value_template, {}) except TemplateError: _LOGGER.exception('Error parsing template') return False return value.lower() == 'true'
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def test_load_startup_script_3(tmp_path, reset_sys_modules): # noqa: F811 """ Test for ``load_startup_script`` function. Verifies if variables defined in global and local scope in the script are handled correctly. """ # Load first script script_dir = os.path.join(tmp_path, "script_dir1") sc...
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def test_octree_partition_accept(): """ if the population of a NestedOctree search space _within the buffered bounds of the region of interest_ is acceptable, then it should create only one partition. if it has only one partition, then why call it an octree? """ # build a query set and two sea...
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def _snr_single_region(spectrum, region=None): """ Calculate the mean S/N of the spectrum based on the flux and uncertainty in the spectrum. Parameters ---------- spectrum : `~specutils.spectra.spectrum1d.Spectrum1D` The spectrum object overwhich the equivalent width will be calculated....
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def getFusedSimilarity(filename, sr, hop_length, win_fac, wins_per_block, K, reg_diag, reg_neighbs, niters, do_animation, plot_result, do_crema=True): """ Load in filename, compute features, average/stack delay, and do similarity network fusion (SNF) on all feature types Parameters ---------- fi...
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def plot_results(): """Creates a stacked bar chart of the results""" plot_array = Nuts3_Area.loc[:,Nuts3_Area.columns.str.startswith('perc_')].to_numpy() plot_array_T = plot_array.T # invert columns and rows label_array = Nuts3_Area['NUTS_NAME_left'] #to get NUTS3 units to label x-axis colors...
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def squared_error( prediction: chex.Array, targets: chex.Array, weight: float = 1.0, # register_loss: bool = True, ) -> chex.Array: """Squared error loss.""" if prediction.shape != targets.shape: raise ValueError("prediction and targets should have the same shape.") # if register_loss: kfac_...
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def add_vqe_exact(params): """Add the ground states to the dict""" ex = run_exact(params["operator"]) vq = run_vqe(params["operator"]) return {**params, **vq, **ex}
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