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def compute_win_state_str_row(n_rows, n_cols, n_connects): """Each win state will be a string of 0s and 1s which can then converted into an integer in base 2. I assume that at the maximum n_rows = n_cols = 5, which means that a 31 bit integer (since in Python it's always signed) should be more th...
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def test_xi_transform_vgp_vs_gpr(gpr_and_vgp, xi_transform): """ With other transforms the solution is not given in a single step, but it should still give the same answer after a number of smaller steps. """ gpr, vgp = gpr_and_vgp assert_gpr_vs_vgp(gpr, vgp, gamma=0.01, xi_transform=xi_transfor...
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def hmac_sha512(key: bytes, data: bytes) -> bytes: """ Return the SHA512 HMAC for the byte sequence ``data`` generated with the secret key ``key``. Corresponds directly to the "HMAC-SHA512(Key = ..., Data = ...)" function in BIP32 (https://github.com/bitcoin/bips/blob/master/bip-0032.mediawiki#...
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def __scheduler_trigger(cron_time_now, now_sec_tuple, crontask, deltasec=2): """ SchedulerCore logic actual time: cron_time_now format: (WD, H, M, S) actual time in sec: now_sec_tuple: (H sec, M sec, S) crontask: ("WD:H:M:S", "LM FUNC") deltasec: sample time window: +/- sec: -sec...
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def gen_canvas_config() -> Dict: """Generates yaml config from user input for canvas interface Returns ------- Dict canvas config dict """ # check for existing canvas config if ( os.path.exists(CANVAS_CONF_PATH) and (input("Delete existing canvas config and r...
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def retweet(tweet): """Attempts to retweet a tweet.""" t.statuses.retweet._id(_id=tweet["id"])
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def get13FAmendmentType(accNo, formType=None) : """ Gets the amendment type for a 13F-HR/A filing - may be RESTATEMENT or NEW HOLDINGS. This turned out to be unreliable (often missing or wrong), so I don't use it to get the combined holdings for an investor. Instead I just look at the number of holdings...
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def tabs_to_cover_string(string): """ Get the number of tabs required to be at least the same length as a given string. :param string: The string :return: The number of tabs to cover it :rtype: int """ num_tabs = int(np.floor(len(string) / 8) + 1) return num_tabs
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def kl(p, q): """ Kullback-Leibler divergence for discrete distributions Parameters ---------- p: ndarray probability mass function q: ndarray probability mass function Returns -------- float : D(P || Q) = sum(p(i) * log(p(i)/q(i)) Discrete probability distribut...
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def ProcessDirectory(dirname, output_lines): """Processes a directory of batch sim files. If directory contents are sufficiently old, appends to outfile comments that describe the directory and a command to remove it. Args: dirname: Full Cloud Storage path of the directory, with trailing slash. output...
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def map_uris(uris): """Map URIs from external URI to HDFS :return: """ pkgs_path = __pillar__['hdfs']['pkgs_path'] ns = nameservice_names() return map(lambda x: 'hdfs://{0}{1}/{2}'.format(ns[0], pkgs_path, __salt__['system.basename'](x)), uris)
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def delete_task(id: str, db: Session = Depends(get_db)) -> Any: """Delete a task""" try: todo_interactor = ToDoInteractor(db=db) todo_interactor.remove(id=id) return {"success": f"removed task: {id}"} except HTTPException as e: logger.exception(e) raise HTTPException(...
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def get_body(name): """Retrieve the Body structure of a JPL .bsp file object Args: name (str) Return: :py:class:`~beyond.constants.Body` """ return Pck()[name]
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def is_available(): """ Convenience function to check if the current platform is supported by this module. """ return ProcessMemoryInfo().update()
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def test_dequeue(dq): """Test append to tail.""" dq.append(2) assert dq.tail.val == 2
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def render_path_spiral(c2w, up, rads, focal, zrate, rots, N): """ enumerate list of poses around a spiral used for test set visualization """ render_poses = [] rads = np.array(list(rads) + [1.]) for theta in np.linspace(0., 2. * np.pi * rots, N+1)[:-1]: c = np.dot(c2w[:3,:4], np.arra...
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def placeAnchorSourceToLagunaTX( common_anchor_connections: Dict[str, List[Dict[str, Any]]] ) -> List[str]: """ The anchors are placed on the Laguna RX registers We move the source cell of the anchor onto the corresponding TX registers """ anchor_to_source_cell = _getAnchorToSourceCell(common_anchor_connect...
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def sendEmailWithAttachment(subject, message, from_email, to_email=[], attachment=[]): """ :param subject: email subject :param message: Body content of the email (string), can be HTML/CSS or plain text :param from_email: Email address from where the email is sent :param to_email: List of email reci...
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def post_example_form(): """Example of a post form.""" return render_template("post-form.html")
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def validate(data): """Validates incoming data Args: data(dict): the incoming data Returns: True if the data is valid Raises: ValueError: the data is not valid """ if not isinstance(data, dict): raise ValueError("data should be dict") if "text" not in data ...
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def stripExtra(name): """This function removes paranthesis from a string *Can later be implemented for other uses like removing other characters from string Args: name (string): character's name Returns: string: character's name without paranthesis """ startIndexPer=name.find('(') start...
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def google_maps(maiden: str) -> str: """ generate Google Maps URL from Maidenhead grid Parameters ---------- maiden : str Maidenhead grid Results ------- url : str Google Maps URL """ latlon = toLoc(maiden) url = "https://www.google.com/maps/@?api=1&map_...
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def test_lin_norm_1(): """Check that negative entries become 0.""" x = torch.ones((5, 5)) x[:, 0] = -1 x_normed = ei.lin_norm(x) assert all(x_normed[:, 0] == 0) for row in x_normed[:, 1:]: assert all(row == 0.25)
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def format_signed(feature, # type: Dict[str, Any] formatter=None, # type: Callable[..., str] **kwargs ): # type: (...) -> str """ Format unhashed feature with sign. >>> format_signed({'name': 'foo', 'sign': 1}) 'foo' >>> format_signed({'na...
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def load_ligand(sdf): """Loads a ligand from an sdf file and fragments it. Args: sdf: Path to sdf file containing a ligand. """ lig = next(Chem.SDMolSupplier(sdf, sanitize=False)) frags = generate_fragments(lig) return lig, frags
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def CMDpending(parser, args): """Lists pending jobs.""" parser.add_option('-b', '--builder', dest='builders', action='append', default=[], help='Builders to filter on') options, args, buildbot = parser.parse_args(a...
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def numpy_translation(xyz): """Returns the dual quaternion for a pure translation. """ res = np.zeros(8) res[3] = 1.0 res[4] = xyz[0]/2.0 res[5] = xyz[1]/2.0 res[6] = xyz[2]/2.0 return res
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def make_crops(bids_folder, metadata_file, out_dir, out_file, new_size): """ Create a new dataset of crops from an existing dataset. Given a folder of images, and a csv file containing the info about the dataset, this function makes random crops of the images and save them to disk bids_folder: ...
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def sort_car_models(car_db): """return a copy of the cars dict with the car models (values) sorted alphabetically""" sorted_db = {} for model in car_db: sorted_db[model] = sorted(car_db[model]) return sorted_db
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def test_module(params) -> str: """Tests API connectivity and authentication'" Returning 'ok' indicates that the integration works like it is supposed to. Connection to the service is successful. Raises exceptions if something goes wrong. :return: 'ok' if test passed, anything else will fail the tes...
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def create(auto_remove: bool = False) -> Tuple[str, str]: """ Creates a database inside a docker container :return: container name, database name :rtype: Tuple[str, str] """ piccolo_docker_repository = PiccoloDockerRepository(auto_remove=auto_remove) piccolo_docker_repository.create_contain...
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def get_by_id(db: Session, work_item_id): """Get a specified WorkItem and return it.""" workitem = db.get(WorkItem, work_item_id) if workitem: return workitem if not workitem: logger.debug("Item not found") raise HTTPException(status_code=404, detail="Item not found")
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def evaluate(args, model, eval_dataset, tokenizer, step, prefix=""): """ Evaluation of model :param args: input arguments from parser :param model: pytorch model to be evaluated :param eval_dataset: dataset used for evaluation :param tokenizer: tokenizer used by the model :param step: the cu...
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def main(): """ Existing commands: stop, start, cancel, show, set_work, set_password, set_user, year, day, list, overtime (ot), public-holiday (public), projects """ # Parsing the data parser = argparse.ArgumentParser(description=main.__doc__) parser.add_argument('command', type=str) ...
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def test(path, shell, indent=2): """Run test at path and return input, output, and diff. This returns a 3-tuple containing the following: (list of lines in test, same list with actual output, diff) diff is a generator that yields the diff between the two lists. If a test exits with return co...
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def boot(configfile=None, use_argv=False): """Boot the environment containing the classes and configurations.""" setupdir = dirname(dirname(__file__)) curdir = getcwd() if configfile: pass # Already a string elif use_argv and len(sys.argv) > 1: configfile = sys.argv[1] ...
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def load_expected_results(file, pattern): """Reads the file, named file, which contains test results separated by the regular expression pattern. The test results are returned as a dictionary. """ expected = {} compiled_pattern = re.compile(pattern) with open(file) as f: test = None...
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def play(index): """ wiringpiによるソフトウェアトーン再生""" melody_list = [ ((262, 0.5), (294, 0.5), (330, 0.5), (349, 0.5), (392, 0.5), (440, 0.5), (494, 0.5), (525, 0.5)), ((525, 0.5), (494, 0.5), (440, 0.5), (392, 0.5), (349, 0.5), (330, 0.5), (294, 0.5), (262, 0.5)), ((262, 1), (294, 1), (330, 1)...
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def following(request): """View all posts from followed users""" if request.method == "GET": user = User.objects.get(pk=request.user.id) following = user.follow_list.following.all() # Post pagination: https://docs.djangoproject.com/en/3.1/topics/pagination/ posts = Post.objects....
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def create_random_polygon(min_x, min_y, max_x, max_y, vertex_num): """Create a random polygon with the passed x and y bounds and the passed number of vertices; code adapted from: https://stackoverflow.com/a/45841790""" # generate the point coordinates within the bounds x = np.random.uniform(min_x, max_x, ...
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def document_hidden(session): """Polls for the document to become hidden.""" def hidden(session): return session.execute_script("return document.hidden") return Poll(session, timeout=3, raises=None).until(hidden)
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def delete_directory_files(directory_path): """ Method for deleting temporary html files created by show in browser process. """ for file_object in os.listdir(directory_path): file_object_path = os.path.join(directory_path, file_object) if os.path.isfile(file_object_path): ...
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def cut_sounds(sound_directory, time): """Split file into specific time intervals. Parameters ---------- sound_directory: str path to the directory for the audio file time: str duration of the splits Returns ------- None """ target_path = f'{sound_directory}/split_{time}' ...
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def create_blueprint(): """Creates a Blueprint""" blueprint = Blueprint('Tasks Blueprint', __name__, url_prefix='/tasks') blueprint.route('/', methods=['POST'])(tasks.create) blueprint.route('/', methods=['PATCH'])(tasks.patch) blueprint.route('/', methods=['GET'])(tasks.list) return blueprint
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def gauss2d(sigma, fsize): """ Create a 2D Gaussian filter Args: sigma: width of the Gaussian filter fsize: (W, H) dimensions of the filter Returns: *normalized* Gaussian filter as (H, W) np.array """ # # You code here #
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def estimate_null_variance_gs(gs_lists, statslist, Wsq, single_gs_hpo=False, n_or_bins=1): """ Estimates null variance from the average of a list of known causal windows """ statspaths = {h : p for h, p in [x.rstrip().split('\t')[:2] \ for x in open(sta...
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def create_model(config): """Create the score model.""" model_name = config.model.name score_model = get_model(model_name)(config) score_model = score_model.to(config.device) score_model = torch.nn.DataParallel(score_model) return score_model
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def at(addr): """Look up an object by its id.""" import gc for o in gc.get_objects(): if id(o) == addr: return o return None
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def money_flow_index(close_data, high_data, low_data, volume, period): """ Money Flow Index. Formula: MFI = 100 - (100 / (1 + PMF / NMF)) """ catch_errors.check_for_input_len_diff( close_data, high_data, low_data, volume ) catch_errors.check_for_period_error(close_data, peri...
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def get_variable_name(ds, args): """Tries to automatically set the variable to plot.""" if args.varn is None: varns = set(ds.variables.keys()).difference(ds.coords) if len(varns) == 1: args.varn = varns.pop() else: errmsg = 'More than one variable in data set! Spe...
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def copytree(src, dst, symlinks=False, ignore=None): """ Copy all the contents of directory scr to directory dst. :param src: String Source directory. :param dst: String Destination directory. :param symlinks: default False :param ignore: default None :return: None """ ...
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def Get_Weights(dict_rank): """Converts rankings into weights.""" Weights = adapt.create_Weightings(dict_rank) return Weights
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def load_client_model(models_path, config): """ Returns Pytorch client model loaded given the client model's path """ device = load_device() client_hparams = config.get("client_hparams") for needed_param in client_hparams.get("needed", []): client_hparams[needed_param] = config.ge...
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def psisloo(log_likelihood): """ Summarize the model fit using Pareto-smoothed importance sampling (PSIS) and approximate Leave-One-Out cross-validation (LOO). Takes as input an ndarray of posterior log likelihood terms [ p( y_i | theta^s ) ] per observation unit. e.x. if using py...
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def test_pamap2_varyeps(dataset): """ This routine performs a series of tests on the PAMAP2 dataset varying epsilon """ eps=[500, 1000, 2000] num_samples = 100000 minpts = 50 grid=(4,4,4,4) timing_actual_results = [] timing_theoretical_results = [] Xfull=dataset # Create sm...
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def rxdelim(content: str) -> Tuple[Optional[Pattern], Optional[Pattern]]: """ Return suitable begin and end delimiters for the content `content`. If no matching delimiters are found, return `None, None`. """ tp = magic.from_buffer(content).lower() for rxtp, rxbegin, rxend in DELIMITERS: ...
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def main(): """loxberry plugin for solaredge PV API sends every 5 minutes the actual power production value to the miniserver""" # create file strings from os environment variables lbplog = os.environ['LBPLOG'] + "/solaredge/solaredge.log" lbpconfig = os.environ['LBPCONFIG'] + "/solaredge/plugin.cfg...
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def GenKeyOrderAttrs(soappy_service, ns, type_name): """Generates the order and attributes of keys in a complex type. Args: soappy_service: SOAPpy.WSDL.Proxy The SOAPpy service object encapsulating the information stored in the WSDL. ns: string The namespace the given WSDL-defined type ...
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def read_binary_stl(filename): """Reads a 3D triangular mesh from an STL file (binary format). :param filename: path of the stl file :type filename: str :return: The vertices, normals and index array of the mesh :rtype: Mesh :raises: ValueError """ with open(filename, 'rb') as stl_file:...
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def exit_if_missing(token: str, org: str, assignment_title: str): """ Exit CLI program if missing any required values. """ if token is None: typer.echo( f'Must specify token key in .stoplightrc or with {TOKEN_OPTION_NAME} option', err=True) raise typer.Exit(code=1) if or...
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def validate_currency(currency, locale=None): """ Check the currency code is recognized by Babel. Accepts a ``locale`` parameter for fined-grained validation, working as the one defined above in ``list_currencies()`` method. Raises a `UnknownCurrencyError` exception if the currency is unknown to Babel...
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def test__rules__std_L003_process_raw_stack(generate_test_segments): """Test the _process_raw_stack function. Note: This test probably needs expanding. It doesn't really check enough of the full functionality. """ cfg = FluffConfig() r = get_rule_from_set('L003', config=cfg) test_stack = g...
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def create_plan( session, bucket, s3_object_key, job_identifier, parameters, template_url): """Shows a plan of what CloudFormation might create and how much it might cost""" cfn_client = session.client('cloudformation') template_summary = cfn_client.get_temp...
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def raise302(url): """ Return a temporary redirect status and content to the user. """ raise web.HTTPStatus('302 Found', [('Location', url)], [''])
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def testing(model, t): """TODO: Docstring for testing. :returns: TODO """ model.eval test_set = trainSet2(t) test_data = DataLoader(test_set, batch_size) for x, y in test_data: result = model(x) print(result) print(y) break
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def monotonise_tree(tree, n_feats, incr_feats, decr_feats): """Helper to turn a tree into as set of rules """ PLUS = 0 MINUS = 1 mt_feats = np.asarray(list(incr_feats) + list(decr_feats)) def traverse_nodes(node_id=0, operator=None, threshold=None, ...
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def main(): """Main function.""" syn = login() args = get_args() # In order to make >3 Entrez requests/sec, 'email' and 'api_key' # params need to be set. Entrez.email = os.getenv('ENTREZ_EMAIL') Entrez.api_key = os.getenv('ENTREZ_API_KEY') find_publications(syn, args)
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def pythonify_and_pickle(file, out_filename): """Convert all the data in the XML file and save as pickled files for nodes, ways, relations and tags separately. :param file: Filename (the file will be opened 4 times, so passing a file object will not work). Can be anything which :module:`digest` ...
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def compute_inverse_volatility_weights(df: pd.DataFrame) -> pd.Series: """ Calculate inverse volatility relative weights. :param df: cols contain log returns :return: series of weights """ dbg.dassert_isinstance(df, pd.DataFrame) dbg.dassert(not df.columns.has_duplicates) # Compute inve...
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def log(msg): """ Since this script is used in cron and cron sends mails if there is stdout, we print ordinarily. """ print(msg)
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def resattnet164(**kwargs): """ ResAttNet-164 model from 'Residual Attention Network for Image Classification,' https://arxiv.org/abs/1704.06904. Parameters: ---------- pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.torch/model...
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def write_oldmos(fname, Cas, Cbs=None, mode='w'): """ Deprecated. May be deleted at some point. Write MOs in Cfour OLDMOS format That means packages of four MOs C[0,0] C[0,1] C[0,2] C[0,3] C[1,0] C[1,1] C[1,2] C[1,3] C[2,0] C[2,1] C[2,2] C[2,3] ... ... ... ... Format f...
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def test_retired_locale_redirects(base_url, slug, retired_locale): """Ensure that requests for retired locales properly redirect.""" resp = request("get", f"{base_url}/{retired_locale}{slug}") assert resp.status_code == 302 slug_parts = slug.split("?") expected_slug = slug_parts[0].lstrip("/") e...
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def remove_ntp_system_peer(device, system_peer, vrf=None): """ Remove ntp system peer config Args: device (`obj`): Device object system_peer ('str'): System peer IP address Returns: None Raises: SubCommandFailure """ remove_config = ''...
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def stype(obj): """ Return string shape representation of structured objects. >>> import numpy as np >>> a = np.zeros((3,4), dtype='uint8') >>> b = np.zeros((1,2), dtype='float32') >>> stype(a) '<ndarray> 3x4:uint8' >>> stype(b) '<ndarray> 1x2:float32' >>> stype([a, (b, b)]) ...
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def board2key(Z): """ Turn a "Game of Life" board into a key. """ return(bin2hex(array2string(Z[1:-1, 1:-1].reshape((1, 512 * 512 * 4))[0])))
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def CipherArray(Array = [[" "]," "], Random = 1): """ Array - array to coding Key - Key number to coding It's а function that encodes elements Returns an array consisting of coded elements """ if (type(Array) != list): raise TypeError("Неправильний формат масиву") if (ty...
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def voltage(raw_value, v_min=0, v_max=10, res=32760, gain=1): """Converts a raw value to a voltage measurement. ``V = raw_value / res * (v_max - v_min) * gain`` """ return (float(raw_value) / res * (v_max - v_min) * gain, "V")
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def extract_characteristics_from_string(species_string): """ Species are named for the SBML as species_name_dot_characteristic1_dot_characteristic2 So this transforms them into a set Parameters: species_string (str) = species string in MobsPy for SBML format (with _dot_ instead ...
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def _get_bzr_version(): """Looks up bzr version by calling bzr --version. :raises: VcsError if bzr is not installed""" try: value, output, _ = run_shell_command('bzr --version', shell=True, us_env=True) ...
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async def async_setup_platform(hass, config, async_add_entities, discovery_info=None): """Old way of setting up Terncy curtain. Can only be called when a user accidentally mentions Terncy platform in their config. But even in that case it would have been ignored. """ _LOGGER.info(" terncy curtain a...
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def register_blueprints(app: Flask): """注册需要的蓝图程序包到 Flask 程序实例 app 中""" app.register_blueprint(auth_bp) app.register_blueprint(oauth_bp) app.register_blueprint(chat_bp) app.register_blueprint(admin_bp)
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def C(source): """Compile at runtime and run code in-line""" return _embed_or_inline_c(source, True)
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def normalize(x): """Standardize the original data set.""" max_x = np.max(x, axis=0) min_x = np.min(x, axis=0) x = (x-min_x) / (max_x-min_x) return x
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def test_indefinite_freeze_attack(using_tuf=False): """ <Arguments> using_tuf: If set to 'False' all directories that start with 'tuf_' are ignored, indicating that tuf is not implemented. The idea here is to expire timestamp metadata so that the attacker """ ERROR_MSG = '\tIndefinite Fre...
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def _diff_bearings(bearings, bearing_thresh=40): """ Identify kinked nodes (nodes that change direction of an edge) by diffing Args: bearings (list(tuple)): containing (start_node, end_node, bearing) bearing_thresh (int): threshold for identifying kinked nodes (range 0, 360) Return...
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def update_holidays(cal: TextIOWrapper): """ics file from e.g., https://www.calendarlabs.com/ical-calendar/holidays/norway-holidays-62/""" import_calendar(cal)
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async def request(method: str, url: str, params: dict = None, data: Any = None, credential: Credential = None, no_csrf: bool = False, json_body: bool = False, **kwargs): """ 向接口...
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def InflRate(): """Inflation rate""" return asmp.InflRate()
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def evaluate(FLAGS, y_test, y_score, n_class): """Evaluate the quality of the model Args: FLAGS (argument parser): input information y_test (2D array): true label of test data y_score (2D) array: prediction label of test data n_class (int): number of classes Returns: ...
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def author_single_view(request, slug): """ Render Single User :param request: :param slug: :return: """ author = get_object_or_404(Profile, slug=slug) author_forum_list = Forum.objects.filter(forum_author=author.id).order_by("-is_created")[:10] author_comments = Comment.objects.filte...
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def get_predefined(schedule): """ Predefined learn rate changes at specified epochs :param schedule: dictionary that maps epochs to to learn rate values. """ def update(lr, epoch): if epoch in schedule: return floatX(schedule[epoch]) else: return f...
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def launch_ec2_instances(config, nb=1): """ Launch new ec2 instance(s) """ conf = config[AWS_CONFIG_SECTION] ami_image_id = conf.get(AMI_IMAGE_ID_FIELD) ami_name = conf.get(AMI_IMAGE_NAME_FIELD) if ami_image_id and ami_name: raise ValueError('The fields ami_image_id and ami_image_nam...
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def residual_error(X_train,X_test,y_train,y_test, reg="linear"): """ Plot the residual error of the Regresssion model for the input data, and return the fitted Regression model. ------------------------------------------------------------------- # Parameters # X_train,X_test,y_train,y_test (np.arrays): G...
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def next_row(update, context): """Increase the row, append one if necessary.""" cid = update.message.chat_id user = ClassDB.get_user(cid) row = context.chat_data["row"] + 1 context.chat_data["col"] = 0 # append row when index exceeded if row == len(user.temp_question.keyboard): use...
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def ListMethods(dev): """List user-callable methods for the device. Example: >>> ListMethods(phi) """ dev = session.getDevice(dev, Device) items = [] listed = builtins.set() def _list(cls): if cls in listed: return listed.add(cls) for name, (args, d...
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def centerSquare(pil_img: Image.Image): """Adds padding on both sides to make an image square. (Centered)""" pil_img = pil_img.convert('RGBA') # ensure transparency background_color = (0, 0, 0, 0) width, height = pil_img.size if width == height: return pil_img elif width > height: ...
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def _convert_steplist_to_string(step_data): """Converts list of step data into a single string. Parameters ---------- step_data : list List of step data Returns ------- str A space delimited string where every 6th value is followed by a newline. """ text = '' for i, datum in enumerate(step_data): ...
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def get_global_public_delegated_prefix(project: Optional[str] = None, public_delegated_prefix: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetGlobalPublicDelegatedPrefixResult: """ Returns the specif...
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def evol_indices( out, msa_data_folder, msa_list, protein_index, theta_reweighting, model_parameters_location, computation_mode, num_samples_compute_evol_indices, batch_size, device, ): """ Compute evolutionary indices """ # Generate paths to output folders and make new ...
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