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def _get_task_info(): """Get task info from Rosetta Code Returns: List of Tuple(task name, task url) """ url = "http://www.rosettacode.org/wiki/Category:Programming_Tasks" soup = get_soup(url) task_tags = soup.find("div", class_="mw-category").find_all("a") task_urls = [] # list of task ...
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def sample_action(policy, state): """ Samples a policy for an action given the current state. """ choices = np.arange(0, policy.shape[1]) probabilities = policy[state] return np.random.choice(choices, p=probabilities)
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def _plot_clusters(estimator, fdata, *, chart=None, fig=None, axes=None, n_rows=None, n_cols=None, labels, sample_labels, cluster_colors, cluster_labels, center_colors, center_labels, center_width, colormap): """Implementation of the plot of the FDataGrid sam...
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def plot(canvas, word, grid, answers): """ called by handle_plot() function draws a box around the word if it is a correct solution """ # pulls data from answers dictionary (iscol, isrev, word_len, x_start, y_start) = answers[word] (x1, y1, square_dim) = find_coord(x_start, y_start, sgs.WIN...
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def split_flow_into_segments(flow): """Splits the flow into multiple segments where a segment is defined by: data only from endpoint A (request) followed by data only from endpoint B (response). New data from endpoint A initiates a new segment. Returns: list of TcpFlow instances with each instance repre...
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def sigD(jax=True, dtype=np.float32): """ Pauli 'down' matrix. PARAMETERS ---------- jax (bool, default True): Toggles whether a Jax or np array is returned. dtype: the data type of the return value. """ vals = [[0, 0], [1, 0]] D = np.array(vals, dtype=dtype) if jax:...
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def test_writing_plot(tmpdir): """Testing that we can create write a plot to disk.""" fig = Figure(jinja_env=env, template="line.html_template", title="Simple plot") plot = fig.add_plot("Energies") x_axis = plot.add_axis("x", label="Time (ps)") y_axis = plot.add_axis("y", label="Energy (kcal/mol)"...
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def do_check_package_status(package_id, host_ip): """ 检查包状态 Args: package_id: host_ip: Returns: """ time.sleep(5) package = AppPkgMapper.get(app_package_id=package_id, host_ip=host_ip) if package is None: logger.debug("package record %s not found", package_id) ...
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def is_clockwise(points): """ Check if the points given forms a clockwise polygon :return: True if the points forms a clockwise polygon """ a = 0 i, j = 0, 0 for i in range(len(points)): j = i + 1 if j == len(points): j = 0 a += points[i][X]*points[j][Y] -...
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def upload_chunk_feather(*, data: DataFrame, container: str, dir_path: str, filename: str) -> NoReturn: """ Requires keyword arguments. Parameters ---------- data: DataFrame container: str Storage container name. dir_path: str Storage directory pat...
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def filter_stats(stats): """Remove individual-level data in the statistics""" logger.info("Filtering out individual level data in the statistics") # sex: all stats.loc[ stats.loc[:, "nindivs_all"].isin(INDIV_LEVELS), ALL_COLS + FEMALE_COLS + MALE_COLS ] = None # sex: female ...
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def kl_divergence(p, q): """Standard KL divergence.""" return stats.entropy(p, q)
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def calculate_unaberrated_contrast_and_normalization(instrument, design=None, return_coro_simulator=True, save_coro_floor=False, save_psfs=False, outpath=''): """ Calculate the direct PSF peak and unaberrated coronagraph floor of an instrument. :param instrument: string, 'LUVOIR', 'HiCAT', 'RST' or 'JWST' ...
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def validate_category(value): """Validator for Node#category. Makes sure that the value is one of the categories defined in CATEGORY_MAP. """ if value not in Node.CATEGORY_MAP.keys(): raise ValidationValueError('Invalid value for category.') return True
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def cache_bottlenecks(sess, image_lists, image_dir, bottleneck_dir, jpeg_data_tensor, decoded_image_tensor, resized_input_tensor, bottleneck_tensor, architecture): """Ensures all the training, testing, and validation bottlenecks are cached. Because we're likely to read t...
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def dideryServerService(self): """ Service server given by valet Ioinit attributes: valet is a Valet instance Context: recur Example: do didery server service """ if self.valet.value: self.valet.value.serviceAll()
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def drop_unevaluated_comp(df): """Drop unevaluated compounds from a dataframe.""" df = df[df.index.get_level_values( level=metadata.TREATMENT_GROUP) != metadata.NEGATIVE_CONTROL] df = df[df.index.get_level_values(level=metadata.MOA) != metadata.UNKNOWN] return df
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def target_frame(): """Input target frame.""" return 'IAU_ENCELADUS'
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def associate_node_id(tr, node=""): """ Returns a dictionary with key 'id' and value as the ID associated with the node string. """ return {"id": tr.get_uml_id(name=node)}
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def example_data(): """Create some sample data for testing.""" # van = City(name="Vancouver") chambar = Restaurant(name="Chambar", location="568 Beatty St, Vancouver, BC V6B 2L3", phone="(604) 879-7119", latitude=49.2810018, ...
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def record(app, db, s3_location): """Create a record.""" record = { 'title': 'fuu' } record = Record.create(record) record.commit() db.session.commit() return record
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async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool: """Set up Flipr from a config entry.""" hass.data.setdefault(DOMAIN, {}) coordinator = FliprDataUpdateCoordinator(hass, entry) await coordinator.async_config_entry_first_refresh() hass.data[DOMAIN][entry.entry_id] = coord...
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def build_api_query(req: ExternalAPIRequest) -> str: """ build_api_query takes a ExternalAPIRequest object and returns a URL with query params """ # if the query options weren't specified, return the url without # adding to it. if not req.q: return req.url base_url = req.url if not ba...
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def SET(query): """ Decorator that marks a method as a SET query handler for some variable in the genotype-phenotype interface. The decorator receives as argument the name of the query. For instace, this decorator is applied to the Synapses.set_weights method as @SET("synapses:weights"). ...
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def setup(bot: Bot) -> None: """Set up the ping cog.""" bot.add_cog(Ping(bot))
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def parse_arguments(args): """ Parse the arguments from the user """ parser = argparse.ArgumentParser( description= "Filter UniRef EC list\n", formatter_class=argparse.RawTextHelpFormatter) parser.add_argument( "-i","--input", help="the UniRef EC triplet file [m...
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def pax(src, pkgdir, verbose=0, dry_run=0, TOOL='/bin/pax'): """ Create a pax gzipped cpio archive of the given src directory and store it to the given pkg directory returns size of archive """ dest = os.path.realpath(os.path.join(pkgdir, 'Contents', 'Archive.pax.gz')) mkpath(os.path.dirnam...
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def get_last_close_str( fmt=ae_consts.COMMON_DATE_FORMAT): """get_last_close_str Get the Last Trading Close Date as a string with default formatting ae_consts.COMMON_DATE_FORMAT (YYYY-MM-DD) :param fmt: optional output format (default ae_consts.COMMON_DATE_FORMAT) """ retur...
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def load_grad_z(grad_z_dir=Path("./grad_z/"), train_dataset_size=-1): """Loads all grad_z data required to calculate the influence function and returns it. Arguments: grad_z_dir: Path, folder containing files storing the grad_z values train_dataset_size: int, number of total samples in data...
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def feed_json(directory=None, name=None, obj=None): """ feed json file at directory with obj ================================================================= """ if name is None: raise ValueError("Name can't be None") set_dir(directory) with open(name, 'r') as f: data = json...
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def extract_games(world_folder): """ Locate the games in a world folder. """ envs = [] for filename in os.listdir(world_folder): if filename.endswith(".ulx"): envs.append(world_folder + "/" + filename) return envs
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def try_int(options, key, default): """Expects a int.""" flatten(options, key, default) if options[key] != default: options[key] = int(options[key])
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def clause_words(clause_tree): """ Returns the constants in a clause. These will be everything that is not a keyword. """ if clause_tree == []: return [] elif clause_tree[0] == 'func': assert(len(clause_tree) == 3) if clause_tree[2] == []: return [clause_tree[1]] else: return [clause_...
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def list(on): """list the command's man page.""" command_list = find_commands_on_specified_platform(on) click.echo('\n'.join(command_list))
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def _reusables(): """Return the reusables object. We use this wrapper because so that functions which use the reusables variable can be pickled. """ return reusables
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def algo_ration(balls: Balls) -> int: """ Algorithmus: Binäre-Suche mit optimiertem Teilverhältnis mit der ersten Kugel, dann mit Einzelschritten suchen. Teilverhältnis -> Mittlere Anzahl: 0.10 -> 13.43 ; 0.19 -> 10.94 ; 0.20 -> 10.94 ; 0.21 -> 10.96 ; 0.30 -> 12.30 :param balls: Die Kugeln für ...
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def D50(Stk50, RhoP, Q, C, Eta, W): """ Returns the cut point diameter D50 Parameters ---------- Stk50 : float Stokes number for 50% collection efficiency = 0.23 RhoP : float particle density (g/cm3) Q : float volumetric flow rate (cm3/s) ...
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def rank_transform(arr: np.ndarray, centered=True) -> np.ndarray: """ Transform a 1-dim ndarray with arbitrary scalar values to an array with equally spaced rank values. This is a nonlinear transform. :param arr: input array :param centered: if the transform should by centered around zero :retu...
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def getMagic(fileName): """Get file magic.""" mime = magic.Magic(mime=True) mimeType = mime.from_file(fileName) return mimeType
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def features(args): """ Applys the trained Word2Vec model to translate the token vectors into feature vectors. Parameters ---------- args : dict Configuration dict, typically loaded from YAML file """ with timer("Generating Feature Vectors"): pf.finalize_feature_vectors...
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def inspect_out(*args, **kwargs): """Deprecated: Please use inspect_hex()""" warnings.warn("inspect_out() is deprecated; use inspect_hex().", DeprecationWarning) return inspect_hex(*args, **kwargs)
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def get_slurm_queue(): """Get a list of jobs currently in the Slurm queue. """ pattern = ('(?P<job_id>\d+)+\s+(?P<name>[-\w\d_\.]+)\s+(?P<user>[\w\d]+)\s+(?P<group>\w+)' '\s+(?P<account>[-\w]+)\s+(?P<partition>[-\w]+)\s+(?P<time_limit>[-\d\:]+)\s+' '(?P<time_left>[-\d\:]+)\s+(?P<s...
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def DirDocNode(arg_dir, the_dir): """ This creates a non-clickable node. The text is taken from __doc__ if it exists, otherwise the file name is 'beautifuled'. """ full_module = arg_dir + "." + the_dir try: imported_mod = importlib.import_module(full_module) except ImportError: ...
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def ReadAll(buf): """Reads all the chunks from the input buffer (until the end). Args: buf: An input buffer to read the chunks from. Yields: Chunks of bytes stored in the buffer. Raises: ValueError: If the buffer contains an incorrect sequence of bytes. """ while True: chunk = Read(buf) ...
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def is_move_slide_locked(start_hex: tuple, ending_hex: tuple, board_piece_locations: set[tuple]) -> bool: """ A move is 'slide locked' if a piece on a physical board cannot be slid from its current hex to an adjacent, empty hex without having to pick up the moving piece. This function expects start_hex and ...
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def face_detect(): """ { "faceimage":"img(base64 or url)" } :return: { "similar":1.0, "code":"00000", "errorinfo":"message", "result":true } """ try: face_base64 = request.json face_detect_result = FaceUtils.detect_face(face_base64['faceimage']...
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def uninstall(): """ Uninstall the Azure Monitor Linux Agent. This is a somewhat soft uninstall. It is not a purge. Note: uninstall operation times out from WAAgent at 5 minutes """ find_package_manager("Uninstall") if PackageManager == "dpkg": OneAgentUninstallCommand = "dpkg -P azu...
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def match_riccati(eq, f, x): """ A function that matches and returns the coefficients if an equation is a Riccati ODE Parameters ========== eq: Equation to be matched f: Dependent variable x: Independent variable Returns ======= match: True if equation is a Riccati ODE, F...
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def find_nonAscii(text): """ Return the first appearance of a non-ASCII character (in a `Match` object), or `None`. """ regex = re.compile(r'([^\x00-\x7F])+') return re.search(regex, text)
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def linear_search(arr, x): """ Performs a linear search :param arr: Iterable of elements :param x: Element to search for :return: Index if element found else None """ l = len(arr) for i in range(l): if arr[i] == x: return i return None
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def _filter(data, scopedData, scopedLogic): """ Filter 'scopedData' using the specified 'scopedLogic' argument. 'scopedData' argument can be: - a manually specified data array; - a JsonLogic rule returning a data array; - a JsonLogic 'var' operation returning part of the data object ...
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def write_file(filename, data, encoding=__ENCODING_UTF8): """ write text into file :param filename: file path to save :param data: text data :param encoding: file encoding :return: None """ with open(filename, 'w', encoding=encoding) as f: f.write(data)
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def _parse_age_specific_distribution(df, parameter, parameter_function, age_bins, full_factorial): """Age-specific parameter sampling from a numpy distribution Create a column in the DataFrame for each age bin, and sample from the specified distribution. Modifies the input DataFrame in place. """ ...
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def generic_tarfile_verify(filepath, method): """ Verify that a tar/tgz/tbz/txz file is valid and working. :param filepath: Filename. :type filepath: str :param method: Tarfile read method. :type method: str """ if smart_is_tarfile(filepath): with tarfile.open(filepath, method)...
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def helicsFederateInfoSetCoreType(fi: 'helics_federate_info', coretype: 'int') -> "void": """ """ return _helics.helicsFederateInfoSetCoreType(fi, coretype)
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def score_hmm_unit_id_shuffle(bst, hmm, n_shuffles=250, normalize=False): """Docstring goes here. Returns ------- scores : array of size (n_events,) shuffled : array of size (n_shuffles, n_events) """ scores = score_hmm_logprob(bst=bst, hmm=hmm, ...
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def get_service_rel_tech_decr_by(tech_decreased_share, service_tech_by_p): """Iterate technologies with future less service demand (replaced tech) and get relative share of service in base year Parameters ---------- tech_decreased_share : dict Technologies with decreased service service...
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def cmd_run(client, args): """Runs the application container. Parameters ---------- client : docker.client.DockerClient The Docker API client. args : argparse.Namespace A Namespace object populated with the values of the command line arguments. Returns ------- docker.Co...
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def step(grouped_seqs, stop_short=False): """ Generates tuples of lists of rows for every matching keys """ Empty = object() NoMore = object() EmptyVal = [] keys = [Empty] * len(grouped_seqs) vals = [EmptyVal] * len(grouped_seqs) def update(i, gs): try: ...
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def get_opencor_algorithm(requested_alg, config=None): """ Get a possibly alternative algorithm that OpenCOR should execute Args: requested_alg (:obj:`Algorithm`): requested algorithm config (:obj:`Config`, optional): configuration Returns: :obj:`Algorithm`: possibly alternative al...
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def test_s3_import__no_pipeline_capabilities(mocker): """Test S3 import failure when project has no pipeline capabilities. """ runner = CliRunner() mocked_login = mocker.patch.object(APIClient, "login", return_value=None) mocked_import_s3_projects = mocker.patch.object( APIClient, ...
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def wassertein_distance(u_x: Tensor, s_x: Tensor, u_y: Tensor, s_y: Tensor, is_target: bool = True, num_iter: int = 10): """ Computer Wassertein distance between two multivariate normal distribution X Y the covariance matrix of Y is assumed to be unit matrix if is_target is True ...
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def mask_tokens(inputs: torch.Tensor, tokenizer: PreTrainedTokenizer, args) -> Tuple[torch.Tensor, torch.Tensor]: """Prepares masked tokens inputs/labels for masked language modeling: 80% MASK, 10% random, 10% original.""" if tokenizer.mask_token is None: raise ValueError( "This tokeniz...
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def to_json(p): """Returns a JSON-compatible dict of a plugin that can be serialized and sent to clients. """ name = (p['vimorg_name'] or p['github_repo_name'] or p['github_vim_scripts_repo_name']) author = (p['vimorg_author'].strip() or p['github_author'].strip()) plugin_manager_us...
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def sms_in(request): """ sender - the number of the person sending the sms receiver - the number the sms was sent to msgdata - the message """ sender = request.GET.get("sender", None) receiver = request.GET.get("receiver", None) msgdata = request.GET.get("msgdata", None) if sender is...
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def test_DIGRAC(): """ Testing DIGRAC """ num_nodes = 100 num_features = 3 num_classes = 3 X, A, F, _, edge_index, edge_weight = \ create_mock_data(num_nodes, num_features, num_classes) A = scipy_sparse_to_torch_sparse(A).to(device) prob_imbalance_loss = Prob_Imbalance_Loss...
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def my_qq_plot(y_pre, y_tar, title): """ Plot qq - plot. :param y_pre: Prediction :param y_tar: Target :param title: Title of the plot :return: """ plt.figure() plt.scatter(y_tar, y_pre, label="prediction", color="b", marker="x") plt.plot(range(3), range(3), label="target", color...
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def bytes_to_str(data): """bytes to string, used after data transform by internet.""" if isinstance(data, bytes): return data if sys.version_info.major == 2 else data.decode("ascii") if isinstance(data, dict): return dict(map(bytes_to_str, data.items())) if isinstance(data, tuple): ...
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def test_false_negative(): """Test false negative function.""" from my_ml.utils.scoring import false_negative y: np.ndarray = np.array([0, 0, 1, 1, 0, 1]) y_preds: np.ndarray = np.array([1, 0, 0, 0, 1, 0]) tp: float = false_negative(y, y_preds) assert np.isclose(tp, 3, rtol=.001)
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def best_model_based_selector(train_features, test_features, train_similarity_target, test_similarity_target, regressor): """ Function used to select the best model based selector """ model_based_score = 0 scaling_factors = ["0.25*mean", "0.5*mean", "median", "1.25*mean", "1.5*mean"] # scaling_factors = ["0.5*mean"...
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def ex12(): """ Example 12 Example with state file name: Example12.py Copyright Log Opt Co., Ltd. """ m1 = Model() n = 9 #number of activities state = m1.addState("state") state.addValue( time=0, value=0 ) state.addValue( time=7, value=0 ) state.addValue( time=14, valu...
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def GetAllCmdOutput(args, cwd=None, quiet=False): """Open a subprocess to execute a program and returns its output. Args: args: A string or a sequence of program arguments. The program to execute is the string or the first item in the args sequence. cwd: If not None, the subprocess's current director...
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def resultados_portafolio(p,w,C): """ Dados unos pesos de colocacion para un portafolio y teniendose los rendimientos y covarianzas historicas, se obtiene el rendimiento y volatilidad del portafolio `p`: matriz con rendimientos historicos del portafolio `w`:...
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def arg_parser() -> dict: """Parse CLI arguments. Returns: dict: parsed arguments in dictionary """ parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("words", nargs="+", type=str, help="Sentence that will be translated") return parser.parse_args().__dict__
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def pml_prompt(): """ Reads user input given the PML prompt. """ return raw_input("pml:> ")
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def out_labels(G, q): """Returns a list of each of the labels appearing on the edges starting at `q` in `G`. Parameters ---------- G : labeled graph q : vertex in `G` Examples -------- >>> G = nx.MultiDiGraph() >>> G.add_edge(1, 2, label="a") >>> G.add_edge(1, 3, label="a")...
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def get_project_root(name, context='local'): """find out where a repository lives context can be 'local' or 'remote' or a repo type ('sf', 'bb', 'git') """ is_private = name in private_repos is_private_value = name in private_repos.values() if is_private_value: value = name for ...
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def relpath(path, start=os.curdir): """Return a relative version of a path flaming - copied from the python 2.7 source for os.path.relpath() because python 2.5 doesn't have this by default""" if not path: raise ValueError("no path specified") start_list = [x for x in os.path.abspath(sta...
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def IKinBody(Blist, M, T, thetalist0, eomg, ev): """Computes inverse kinematics in the body frame for an open chain robot :param Blist: The joint screw axes in the end-effector frame when the manipulator is at the home position, in the format of a matrix with axes as the colu...
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def create_parent_child_relation(parent, child, relation_type, volume): """Create parent child relations.""" rr = RecordRelationsParentChild() click.echo('Creating relations: {0} - {1}'.format(parent['pid'], child['pid'])) rr.add( parent=pare...
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def paper1c(sc=1.2): """ paper1c - Define params to make pretty 1col fig publication """ rescale = sc/1.2 fontSize = rescale*10. rc('figure', figsize=(3.*sc,2.3*sc)) rc('figure.subplot', left=0.15, right=0.97, bottom=0.18, top=0.95) rc('lines', linewidth=0.5*rescale) rc('axes', line...
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def _read_uint8(stream: BinaryIO) -> int: """Read an unsigned 8-bit integer from the given byte stream.""" return helpers.read_int(stream, 1, signed=False)
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def config_homepath(homepath, logpath=False, cachepath=False): """ Fix path for ini file. :param homepath: Path to ini file. :type homepath: str :param logpath: True if processing log folder, False if not. Default is False. :type logpath: bool :param cachepath: True if processing cache fo...
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def orthonormal_initializer(output_size, input_size, debug=False): """adopted from Timothy Dozat https://github.com/tdozat/Parser/blob/master/lib/linalg.py Parameters ---------- output_size : int input_size : int debug : bool Whether to skip this initializer Returns ------- ...
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def get_items(access_token, env, realm_id): """ Uses access token to get Item data for Invoice API """ half_url = f"{env}/v3/company/{realm_id}/query" api_parameters = {"query": "select * from Item", "minorversion": "38"} api_headers = {"Accept": "application/json", "Authoriz...
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def preload_powers(session): """ All possible powers in Powerplay. """ session.add_all([ Power(id=0, text="None", eddn='None', abbrev="NON"), Power(id=1, text="Aisling Duval", eddn='Aisling Duval', abbrev="AIS", home_system_name='Cubeo'), Power(id=2, text="Archon Delaine", eddn='Archon D...
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def exercise_1(prefix="tst_model_remove_alternative_conformations_1"): """ Make sure that CA in SER3 gets to the right position. """ inp = iotbx.pdb.input(lines=tst_pdb_str, source_info=None) model = mmtbx.model.manager( model_input = inp) model.remove_alternative_conformations(always_keep_one_conformer=F...
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def create_dummy_tensors_single(): """ Binary: 1 actual, 1 predicted (tp: 1, fp: 0, fn: 0) """ label = torch.tensor([1]) pred = torch.tensor([1]) return (label, pred)
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def uniqueroots(nodes): #(1) """Returns a list of the nodes in `nodes` that are not children of any node in `nodes`.""" result = [] def handle_node(n): #(2) """If any of the ancestors of n are in realroots, just return, otherwise, append n to realroots. """ for an...
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async def test_find_system_by_invalid_name(galaxy_fx): """ Test that an invalid system will return None. """ invalid = await galaxy_fx.find_system_by_name("Fualun") assert invalid is None
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def autodoc_skip(app, what, name, obj, skip, options): """ Hook to tell autodoc to include or exclude certain fields (see :event:`autodoc-skip-member`). Sadly, it doesn't give a reference to the parent object, so only the ``name`` can be used for referencing. :param app: The Sphinx application obj...
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async def get_interval_data(meta_ids: str, start: str, end: str): """ 获取某时间段内的统计数据和 :param meta_ids: 请求的 meta_ids, 以英文 , 分隔的字符串 :param day: 开始时间,例如 2020-12-01 :param end: 结束时间,例如 2020-12-01 :param db: 数据库连接,不需要传 :return: """ ...
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def convert_tf_config_to_jax_bert(config): """Convert TF BERT model config to be compatible with JAX BERT model. Args: config: dictionary of TF model configurations Returns: dictionary of param names and values compatible with JAX BERT model """ unnecessary_keys = ['initializer_range', 'backward_com...
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async def test_storage_is_removed(hass, hass_storage): """Test entity map storage removal is idempotent.""" await setup_platform(hass) entity_map = hass.data[ENTITY_MAP] hkid = '00:00:00:00:00:01' entity_map.async_create_or_update_map( hkid, 1, [], ) assert hkid in ...
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def create_shapers(aces_ctl_directory, lut_directory, lut_resolution_1d, cleanup): """ Creates sets of shaper colorspaces covering the *Log 2* and *Dolby PQ* transfer functions and dynamic ranges suitable of use with the 48 nit, 1000 nit, 2000 ...
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def find_sequences_before(context, strip): """ Returns a list of sequences that are before the strip in the current context """ return [s for s in context.sequences if s.frame_final_end <= strip.frame_final_start]
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def assert_user_props(user_props, expand): """ Assert the output object of the zhmc_user module """ assert isinstance(user_props, dict) # Dict of User properties # Assert presence of normal properties in the output for prop_name in zhmc_user.ZHMC_USER_PROPERTIES: prop_name_hmc = prop_n...
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def unpack_line_key(key): """Retrieve a model instance and options dict from a unique key created by create_line_key. """ bits = key.split(KEY_SEPARATOR) instance = unpack_instance_key(*bits[:-1]) options = json.loads(bits[-1]) return (instance, options)
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def profile_stgs(request): """ Display the users current settings and allow them to be modified """ user = request.user prof = get_object_or_404(Profile, user=user) if request.POST: form = SettingsForm(request.POST) if form.is_valid(): user.email = form.cleaned_data['ema...
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def pipe(*args, **kwargs): """A source that fetches the result of a given YQL query. Args: item (dict): The entry to process kwargs (dict): The keyword arguments passed to the wrapper Kwargs: conf (dict): The pipe configuration. Must contain the key 'query'. May contain...
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