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def log_sum_exp(input, dim=None, keepdim=False): """Numerically stable LogSumExp. Args: input (Tensor) dim (int): Dimension along with the sum is performed keepdim (bool): Whether to retain the last dimension on summing Returns: Equivalent of log(sum(exp(inputs), dim=dim, k...
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def train_epoch_ch3(net, train_iter, loss, updater): # @save """训练模型一个迭代周期(定义见第3章)""" # 将模型设置为训练模式 if isinstance(net, torch.nn.Module): net.train() # 训练损失总和、训练准确度总和、样本数 metric = Accumulator(3) for X, y in train_iter: # 计算梯度并更新参数 y_hat = net(X) l = loss(y_hat, y) ...
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def get_defined_names_for_position(scope, position=None, start_scope=None): """ Return filtered version of ``scope.get_defined_names()``. This function basically does what :meth:`scope.get_defined_names <parsing_representation.Scope.get_defined_names>` does. - If `position` is given, delete all na...
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def create_topic(project, topic_name): """Create a new Pub/Sub topic.""" publisher = pubsub_v1.PublisherClient() topic_path = publisher.topic_path(project, topic_name) topic = publisher.create_topic(topic_path) print('Topic created: {}'.format(topic))
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def test_recursive_formatter_format_args_no_index(): """Format a string with positional args and auto index.""" formatter = RecursiveFormatter() assert (formatter.format('{} arb {} string', 'a', 'b', 'c') == 'a arb b string')
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def update( card_id: int, owner: str = typer.Option(None, "-o", "--owner"), summary: List[str] = typer.Option(None, "-s", "--summary"), ): """Modify a card in db with given id with new info.""" summary = " ".join(summary) if summary else None with cards_db() as db: try: db.up...
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def eliminate_from_neighbors(csp, var) : """ Eliminates incompatible values from var's neighbors' domains, modifying the original csp. Returns an alphabetically sorted list of the neighboring variables whose domains were reduced, with each variable appearing at most once. If no domains were reduce...
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def intermediate( raw_seqs: List[str], can_seqs: List[str], indices: List[int], seq_idx: int, subjs: dict, ents: dict, kb: dict = None, sep_char: str = SEP_CHAR, join_char: str = JOIN_SUBJ_CHAR, ...
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def make_screen_hicolor(screen): """returns a screen to pass to MainLoop init with 256 colors. """ screen.set_terminal_properties(256) screen.reset_default_terminal_palette() return screen
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def shadow(trajectorys, fcast, theta_levels, dtheta, start_time, chosen_time_index, folder, strapp): """ Shitty hack to return sum of shadows Chosen_time_index trajectorys deliberately misspelt definitely move somewhere else when done """ masks = [] for theta_level in theta_levels: ...
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def cached_object_arg_test(x): """takes a MyTestClass instance and returns a string""" return str(x)
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def calculate_news_id(title: str = "", description: str = "") -> hex: """ Calculate an idempotency ID of a piece of news, by taking and summing the unicode values of each character (in lower case if applicable) in title and description and representing the final value in hex. Example: asser...
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def set_type_of_process(process_type, param=None): """ This function is used to set which is the type of the current process, test, train or val and also the details of each since there could be many vals and tests for a single experiment. NOTE: AFTER CALLING THIS FUNCTION, THE CONFIGURATION CLOSES...
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def retrieve_artifact(artifact_id): """ Allows the client side API call to "retrieve" the artifact. Returns: type: str String representing JSON object which contains the result of the "artifact retrieve {uuid}" if the call was a success; else, JSON object which contains ...
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def ip_network(addr): """Wrapper for ipaddress.ip_network which supports scoped addresses""" idx = addr.find('/') if idx >= 0: addr, mask = addr[:idx], addr[idx:] else: mask = '' return ipaddress.ip_network(_normalize_scoped_ip(addr) + mask)
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def ShowRoleDetails(roles): """ List all the Roles in Tetration Appliance Role ID | Role Name | Description | Ability """ headers = ['Role ID', 'Name', 'Description'] data_list = [] data_list.append ([roles['id'], roles['name'], roles['description']]) tabl...
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def evaluate(env, agent, n_games=1, greedy=False, t_max=10000): """ Plays n_games full games. If greedy, picks actions as argmax(qvalues). Returns mean reward. """ rewards = [] for _ in range(n_games): s = env.reset() reward = 0 for _ in range(t_max): qvalues = agent.get_...
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def kabsch(query, target, operator=True): """Compute the RMSD between two structures with he Kabsch algorithm Parameters ---------- query : np.ndarray, ndim=2, shape=[n_atoms, 3] The set of query points target : np.ndarray, ndim=2, shape=[n_atoms, 3] The set of reference points to a...
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def test_register(): """testing the create user function""" response = client.get("/register") assert response.status_code == 200, response.template response = client.post( "/register", data={ "username": "test4", "email": "test4@example.com", "passw...
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def GetConfig(user_config): """Load and return benchmark config. Args: user_config: user supplied configuration (flags and config file) Returns: loaded benchmark configuration """ return configs.LoadConfig(BENCHMARK_CONFIG, user_config, BENCHMARK_NAME)
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def get_postgres_data(): """ reads in movie and ratings data for all users using the postgres database Parameters: - Returns: dataframe with movie IDs, ratings, user IDs; number of unique movies in database """ engine = create_engine(CONN, encoding='latin1', echo=False) df_ratings_proxy...
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def test_observation_statistics_gmi(tmpdir): """ Ensure that TrainingDataStatistics class reproduces statistic of MHS bin file for an ocean surface. """ files = [DATA_PATH / "gmi" / "pp" / "GMIERA5_190101_027510.pp"] * 2 stats = [ObservationStatistics(conditional=1), ZonalDistribut...
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def adriatic_name(p, i, j, a): """ Return the name for given parameters of Adriatic indices""" #(j) name1 = {1:'Randic type ',\ 2:'sum ',\ 3:'inverse sum ', \ 4:'misbalance ', \ 5:'inverse misbalance ', \ 6:'min-max ', \ 7:'max-mi...
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def handle_command(cmd): """Handle keypress commands""" if cmd == "mute": pyautogui.press("volumemute") elif cmd == "toggle": pyautogui.press("space") elif cmd == "seek_left": pyautogui.press("left") elif cmd == "seek_right": pyautogui.press("right") elif cmd == "...
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def add_certificate(cluster_name, data): """ Add a certificate to a cluster reference in the Asperathos section. Normal response codes: 202 Error response codes: 400, 401 """ return u.render(api.add_certificate(cluster_name, data))
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def _make_histogram(values, bins): """Converts values into a histogram proto using logic from https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/lib/histogram/histogram.cc""" values = values.reshape(-1) counts, limits = np.histogram(values, bins=bins) limits = limits[1:] sum_s...
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def test_multiple_files_check(paths, expected_exit_code): """Unsorted files should be checked.""" paths_unsorted = [os.path.join(PATH_EXAMPLES, path) for path in paths] runner = CliRunner() result = runner.invoke(cli, ["--check"] + paths_unsorted) assert result.exit_code == expected_exit_code, resu...
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def generate_spec(nu1, nu2, dist): """ Generate a fake spectrum under the assumptions of the standard accretion disk model. dist needs to be in cm returns spectrum with luminosity at the source of the object """ freq = np.linspace(nu1, nu2, 1e3) return [freq, (freq**(1./3.))]
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def dearomatize(): """ Dearomatize structure --- tags: - indigo parameters: - name: json_request in: body required: true schema: id: IndigoDearomatizeRequest properties: struct: type: string required: tru...
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def isTree(rootFile,pathSplit): """ Return True if the object, corresponding to (rootFile,pathSplit), inherits from TTree """ if pathSplit == []: return False # the object is the rootFile itself else: return isTreeKey(getKey(rootFile,pathSplit))
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def adjust_learning_rate(optimizer, epoch): """Sets the learning rate to the initial LR decayed by 10 every 30 epochs""" lr = args.lr * (0.1 ** (epoch // args.lr_adjust)) for param_group in optimizer.param_groups: param_group['lr'] = lr
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def create_server(host="localhost", remote_port=22, local_port=2222): """ Creates and returns a TCP Server thread :param str host: the host to open the port forwarding from :param int remote_port: the remote ort to be forward to locally :param int local_port: the local port to open to forward to ...
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def exit_with_error_output(error): """ Exits the program with an exit status of 1 and prints out the error message in a red color. :param error: The error that occurred. This could be a string or anything that can be converted to a string. """ click.secho(str(error), fg="red") exit(...
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def output_to_df(record): """Converts list of records to DataFrame""" df = pd.DataFrame(record, columns=["line_count_python", "author_name"]) return df
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def test_generate_spectra_dataset(): """ A function that tests that the interpolatespectra.generate_spectra_dataset function is behaving as expected. """ spectra_count = 20 x_data, y_data, label = interpolatespectra.generate_spectra_dataset(HDF5_FILENAME, ...
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def sanitize_tx_data( unspents, outputs, fee, leftover, combine=True, message=None, compressed=True, absolute_fee=False, min_change=0, version='main', message_is_hex=False, ): """ sanitize_tx_data() fee is in satoshis per byte. """ outputs = outputs.copy...
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def create_csrf_disabled_registrationform(): """Create a registration form with CSRF disabled.""" return create_registrationform(**_get_csrf_disabled_param())
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def calc_a_lzc(ts, norm_factor=None): """ Calculates lempel-ziv complexity of a single time series. :param ts: a time-series: nx1 :param norm_factor: the normalization factor. If none, the output will not be normalized :return: the lempel-ziv complexity """ bin_ts = np.char.mod('%i', ts >= n...
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def run_train_model(args): """ :param args: :return: """ logger = args.module_logger _ = create_filepath(args.modelout, logger) logger.debug('Loading model specification from {}'.format(args.modelspec)) model_spec = json.load(open(args.modelspec)) model = load_model(model_spec['modul...
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def rbd_command(command_args, pool_name=None): """ Run a rbd CLI operation directly. This is a fallback to allow manual execution of arbitrary commands in case the user wants to do something that is absent or broken in Calamari proper. :param pool_name: Ceph pool name, or None to run without...
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def get_twitter_auth(): """ Setup Twitter authentication. Return: tweepy.OAuthHandler object """ try: consumer_key = "YOUR_KEY" consumer_secret = "CONSUMER SECRET" access_token = "ACCESS TOKEM" access_secret = "ACCESS SECRET" except KeyError: sys...
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def aggregate_roles_iteration(roles, parameters=None): """ Single iteration of the roles aggregation algorithm Parameters -------------- roles Roles parameters Parameters of the algorithm Returns -------------- agg_roles (Partially aggregated) roles """ ...
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def run_example(): """Extract frames from the video and creates thumbnails for one of each""" # Extract frames from video print("Extract frames from video") # frames = video_to_frames('/home/anley1/aa20/Dataset/Videos/%s' % video_name) # Walk through all files in directory target_dir = "/home/anley1...
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def convertToOneHot(vector, num_classes=None): """ Converts an input 1-D vector of integers into an output 2-D array of one-hot vectors, where an i'th input value of j will set a '1' in the i'th row, j'th column of the output array. Example: v = np.array((1, 0, 4)) one_hot_v = c...
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def open_signal(file, sr): """ Open a txt file where the signal is Parameters: file: Address where the file is located sr: Sampling rate Return: signal: The numpy-shaped signal t: Time vector """ signal = np.loadtxt(file, comm...
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def flops_elu(module: nn.ELU, input: Tensor, output: Tensor) -> int: """FLOPs estimation for `torch.nn.ELU`""" # For each element, compare it to 0, exp it, sub 1, mul by alpha, compare it to 0 and sum both return input.numel() * 6
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def gen_DFSC_MitEx(backend: Backend, **kwargs) -> MitEx: """ Produces a MitEx object that applies DFSC characteriastion to all experiment results. :param backend: Backend experiments are run through. :type backend: Backend :key experiment_mitex: MitEx object observable experiments are run through ...
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def dumps(pif, **kwargs): """ Convert a single Physical Information Object, or a list of such objects, into a JSON-encoded string. :param pif: Object or list of objects to serialize. :param kwargs: Any options available to json.dumps(). """ return json.dumps(pif, cls=PifEncoder, **kwargs)
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def drop_database(): """Drop all SQL database tables.""" if input('Are you really sure to delete all SQL database tables? [y/N]:').lower() == 'y': db.drop_all() print('SQL Database\'s tables dropped') else: print('Aborted!')
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def replace_digits_with_zero(data): """Follow the paper's implementation """ new_data = [] for words, tags in data: new_words = [] for w in words: new_w = "0" if is_number(w) else w new_words.append(new_w) new_tags = list(tags) new_data.append((new...
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def main(args=None): """ The parser entrypoint If it gets called without arguments argparse will use 'sys.argv'. """ args = get_options(args) try: result = parse_week(args.filename) printer = PrettyPrinter(width=120) printer.pprint(result) except IOError as exc: ...
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def gcd(number1: int, number2: int) -> int: """Counts a greatest common divisor of two numbers. :param number1: a first number :param number2: a second number :return: greatest common divisor""" number_pair = (min(abs(number1), abs(number2)), max(abs(number1), abs(number2))) while number_pair[...
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def main(argv=sys.argv): """ The main script """ args = parse_args(argv) model_file = args.model_filename model_delete(model_file)
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def message_counter_down_timer(strMsg="Calling ClointFusion Function in (seconds)",start_value=5): """ Function to show count-down timer. Default is 5 seconds. Ex: message_counter_down_timer() """ CONTINUE = True layout = [[sg.Text(strMsg,justification='c')],[sg.Text('',size=(10, 0),font=(...
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def get_overlapping_timestamps(timestamps: list, starttime: int, endtime: int): """ Find the timestamps in the provided list of timestamps that fall between starttime/endtime. Return these timestamps as a list. First timestamp in the list is always the nearest to the starttime without going over. Par...
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def get_field_h5files(sdir, prefix_dirs="ph"): """Return names of field h5 files in a directory Parameters ---------- sdir: str Path to the search directory prefix_dirs: str If no matching files are found in sdir, search subdirectories whose name starts with this string. ...
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def calc_war_battingfactor(oba,mlb,league,parkfactor,batting): """ oba: instance of wOBAWeightSim mlb: instance of BattingSim league: DataFrame parkfactor: DataFrame batting: DataFrame ----------------------------------------- returns: DataFrame with column [BattingFactor] """ # ...
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def test_duplicate_remote_param(session, param, expected): """ with duplicated params, value of last param is used """ assert get_total(session, params=param) == expected
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def average_implied_variance(asset: Asset, tenor: str, strike_reference: EdrDataReference, relative_strike: Real, *, source: str = None, real_time: bool = False) -> Series: """ Historic weighted average implied variance for the underlying assets of an equity index. :param asset...
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def test_union_any_uri_float_enumeration_2_nistxml_sv_iv_union_any_uri_float_enumeration_3_4(mode, save_output, output_format): """ Type union/anyURI-float is restricted by facet enumeration. """ assert_bindings( schema="nistData/union/anyURI-float/Schema+Instance/NISTSchema-SV-IV-union-anyURI-f...
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def get_forward_backward_walk_union_ops(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, ...
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def init_model(engine): """ Call me before using any of the tables or classes in the model. :param engine: SqlAlchemy engine to bind the session :return: """ DBSession.remove() DBSession.configure(bind=engine)
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def main(): # pragma: no cover """Executes model.""" import sys try: infile = sys.argv[1] except IndexError: print("Must include input file name on command line") sys.exit(1) sart = BasicRtSa.from_file(infile) sart.run()
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def random_crop(*arrays, height, width=None): """Random crop. Args: *arrays: Input arrays that are to be cropped. None values accepted. The shape of the first element is used as reference. height: Output height. width: Output width. Default is same as height. Returns: ...
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def fetch_and_shift_spectra(n_spectra, outfile, primtarget=TARGET_GALAXY, zlim=(0, 0.7), loglam_start=3.5, loglam_end=3.9, Nlam=1000): """ This ...
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def block_amplitudes(name, block_spec, t, hrfs=(glover,), convolution_padding=5., convolution_dt=0.02, hrf_interval=(0.,30.)): """ Design matrix at times `t` for blocks specification `block_spec` Create design matrix for linear model from a block s...
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def main(): """Assess FPS performance of webcam.""" # # Open webcam device and set some capture properties # cap = cv2.VideoCapture(0) #cap.set(cv.CV_CAP_PROP_FRAME_WIDTH, 320) #cap.set(cv.CV_CAP_PROP_FRAME_HEIGHT, 240) print 'CV_CAP_PROP_FPS ', cap.get(cv.CV_CAP_PROP_FPS) prin...
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def get_embedding(param_list, meta): """ Get the USE embeddings of the input text. (non-qa USE) Param 1 - either string or list of strings Return - Embeddings """ data = { 'op': 'encode', 'text': param_list[0] } ret = USE_ENCODER_API.post(data) return ret['encoded']
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def ticket(request, key): """ 提供查询接口,让客户拿到 result key 之后查询用户的信息 """ wxuser = ResultTicket.fetch_user(key) if not wxuser: return HttpResponse(status=404) return HttpResponse(json.dumps(wxuser.serialize()))
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def is_sequence(arg): """Check if an object is iterable (you can loop over it) and not a string.""" return not hasattr(arg, "strip") and hasattr(arg, "__iter__")
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def _save_passing_tests_num(stdout: str) -> None: """ Save a passing tests number to the `.env` file. Parameters ---------- stdout : str Test command stdout. """ passing_test_num: str = _get_passing_test_num_from_stdout( stdout=stdout) logger.info('Saving a do...
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def _sig_figs(x): """ Wrapper around `utils.sigFig` (n=3, tex=True) requiring only argument for the purpose of easily "apply"-ing it to a pandas dataframe. """ return numutils.sigFigs(x, n=3, tex=True)
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def stackbar( y: np.ndarray, type_names: List[str], title: str, level_names: List[str], figsize: Optional[Tuple[int, int]] = None, dpi: Optional[int] = 100, cmap: Optional[ListedColormap] = cm.tab20, plot_legend: Optional[bool] = True, ) -> plt.Subplot: ...
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def get_mempool_transaction_ids(): """ Request the full list of transactions IDs currently in the mempool, as an array :return list: a list of transaction IDs """ resource = 'mempool/txids' return call_api(resource)
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def push_remote(c, exclude=None, dry_run=False): """push all repos from "central" to BitBucket with possibility to exclude To exclude multiple repos you need to provide a string with escaped commas e.g. binfab push_remote binfab push remote:exclude=apropos binfab push_remote:exclude="aprop...
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def zsplits(ds, flds=['density'], npts=21): """Return a lineout of a yt dataset, along z, through X=Y=0 but averaged over X,Y within a cube edge length Splits region into a series of cubes and takes their averages Expects multiple fields; returns dict of field grid vectors. Also, outputs YT ar...
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def get_ma15(ticker): """15일 이동 평균선 조회""" df = pyupbit.get_ohlcv(ticker, interval="day", count=15) ma15 = df['close'].rolling(15).mean().iloc[-1] return ma15
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def server_lcd(cmd, data): """Changes the local directory Usage: lcd /dir """ pass
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def bootstrap(config_env=None): """Build, configure, and return a WSGI application using default settings from the avalon.settings module and optionally from the file referenced by the environmental variable. :return: Fully configured WSGI application :rtype: flask.Flask """ # Note that we ...
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def plot_pmf(df, out_name, full=False): """Plot the pmf from the given dataframe.""" fig, ax = plt.subplots() set_m() x = df["Number of sampled connected neurons"] y = df["Probability"] ax.plot(x, y, "ko", ms=2.5) y_vals_min = [0 for _ in x] y_vals_max = y colors = ["k" for _ in x] ...
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def _default_error_handler(msg, _): """Default error handler callback for libopenjp2.""" msg = "OpenJPEG library error: {0}".format(msg.decode('utf-8').rstrip()) opj2.set_error_message(msg)
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def get_vpc_router_output(filter: Optional[pulumi.Input[Optional[pulumi.InputType['GetVPCRouterFilterArgs']]]] = None, zone: Optional[pulumi.Input[Optional[str]]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetVPCRouterResult]: """ Ge...
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def urls(self, key, value): """Translates urls field.""" sub_y = clean_val("y", value, str, default="") sub_u = clean_val("u", value, str, req=True) _migration = self["_migration"] volume_info = extract_volume_info(sub_y) if sub_y else None if volume_info: # url for a specific volume ...
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def distance_at_t(points, t): """ Determine the sum of all the distances of the Points at time t using the easy-to-calculate Manhattan metric. We could use the Euclidean metric but the extra computation is entirely unnecessary. :param points: the list of Points :param t: the time t :return: the ...
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def fixed_from_persian(p_date): """Return fixed date of Astronomical Persian date, p_date.""" month = standard_month(p_date) day = standard_day(p_date) year = standard_year(p_date) temp = (year - 1) if (0 < year) else year new_year = persian_new_year_on_or_before(PERSIAN_EPOCH + 180 + ...
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def fix_stddev_function_name(self, compiler, connection): """ Fix function names to 'STDEV' or 'STDEVP' as used by mssql """ function = 'STDEV' if self.function == 'STDDEV_POP': function = 'STDEVP' return self.as_sql(compiler, connection, function=function)
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def argdispatch(argument=None): """ Type dispatch decorator that allows dispatching on a custom argument. Parameters ---------- argument : str The symbolic name of the argument to be considered for type dispatching. Defaults to ``None``. When ``None``, the decorator acts exactly like th...
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def calc_intersections(cost, weights): """ --------------------------------------------------------------- |Function unused in this code but remains for debugging issues| --------------------------------------------------------------- Calculates for which layer weights the cost function value is ...
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def yaepblur(stream: Stream, *args, **kwargs) -> FilterableStream: """https://ffmpeg.org/ffmpeg-filters.html#yaepblur""" return filter(stream, yaepblur.__name__, *args, **kwargs)
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def prepare_ml_span_inputs(model: transformers.EncoderDecoderModel, tokenizer: transformers.T5TokenizerFast, encoder_input_attention: InputAndAttention, context: Tensor, chunk_size: int, device: int, trim_context: int): """Prepare the inputs for calculating the ...
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def test_validation(payload, is_valid): """ Assert that validation is turned on for the things we care about """ assert is_valid == PaymentSerializer(data=payload).is_valid()
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def toolButton(pixmap='', orientation=0, size=None): """ toolbutton function with image :param pixmap: location of the image :type pixmap: string :param orientation: rotation in degrees clockwise :type orientation: int :param size: height and width of image in pixels :type size: int...
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def process_hub_timeout(bit): """Return the HUB timeout.""" if bit == '1': return '5 Seconds' return '2 Seconds'
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def sen_loss(outputs, all_seq, dim_used, dct_n): """ :param outputs: N * (seq_len*dim_used_len) :param all_seq: N * seq_len * dim_full_len :param input_n: :param dim_used: :return: """ n, seq_len, dim_full_len = all_seq.data.shape dim_used_len = len(dim_used) dim_used = np.array...
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def test_update_sets_correct_time(): """ Tests that the update method sets the current time correctly. """ start_dt = pd.Timestamp('2017-10-05 08:00:00', tz=pytz.UTC) new_dt = pd.Timestamp('2017-10-07 08:00:00', tz=pytz.UTC) universe = StaticUniverse_MC(equity_assets, cash_assets) exchan...
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def test_list_float_min_length_2_nistxml_sv_iv_list_float_min_length_3_4(mode, save_output, output_format): """ Type list/float is restricted by facet minLength with value 7. """ assert_bindings( schema="nistData/list/float/Schema+Instance/NISTSchema-SV-IV-list-float-minLength-3.xsd", in...
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def get_net_peer_count(endpoint=_default_endpoint, timeout=_default_timeout) -> str: """ Get peer number in the net Parameters ---------- endpoint: :obj:`str`, optional Endpoint to send request to timeout: :obj:`int`, optional Timeout in seconds Returns ------ s...
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def logctx_extra_restore(): """ fixture which reverts LogCtxData.extra to old values after test end """ old_extra = LogCtxData.extra.copy() yield LogCtxData.extra LogCtxData.extra.clear() LogCtxData.extra.update(old_extra)
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def get_cursor_column_number(widget: QTextEdit) -> int: """Get the cursor column number from the QTextEdit widget Args: widget (QTextEdit): _description_ Returns: int: _description_ """ assert isinstance(widget, QTextEdit) pos = widget.textCursor().position() text = widget....
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def plot_singular_values_and_energy(sv: np.ndarray, k: int): """ Plot singular values and accumulated magnitude of singular values. Arguments: sv: vector containing singular values k: index for threshold for magnitude of Side Effects: - Opens plotting window """ en_cum = sv.cumsum...
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