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def to_camel_case(string: str) -> str: """ Converts a ``snake_case`` string to ``camelCase``. :param string: A ``snake_case`` string. :return: A ``camelCase`` version of the input. """ components = string.split("_") return components[0] + "".join(x.capitalize() for x in components[1:])
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def reconnect(user_data): """ Attempt to perform a login to the Unistudium website, saving the cookies in user_data. Returns: "OK" if the login was performed correctly, else a description with the error that can be used to inform the users. """ # Check if user's session exists if 'sessi...
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def p_testlist_multi(p): """testlist_multi : testlist_multi COMMA test | test""" if len(p) == 2: # singleton p[0] = p[1] else: if isinstance(p[1], list): p[0] = p[1] + [p[3]] else: # singleton -> tuple p[0] = [p[1], p[...
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def flatten(encoded_tree: dict, clopen_state: dict) -> None: """ Transform and enriches an encoded tree into the format expected by the frontend library. :param encoded_tree: A tree as returned by the transcode function :param clopen_state: A dictionary that keeps track of the open-closed state of a no...
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def test_mutate_non_staff(rf, user_factory): """ If the requesting user is not a staff user, an exception should be raised. """ mutation = schema.CreateTeam() user = user_factory() request = rf.post("/") request.user = user with pytest.raises(Exception): mutation.mutate(Dum...
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def yake( doc: Doc, *, normalize: Optional[str] = "lemma", ngrams: int | Collection[int] = (1, 2, 3), include_pos: Optional[str | Collection[str]] = ("NOUN", "PROPN", "ADJ"), window_size: int = 2, topn: int | float = 10, ) -> List[Tuple[str, float]]: """ Extract key terms from a docu...
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def make_interval_plot(d, ax, start, end, show_temps = True, show_sun = True, c = 'blue'): """ Given a building record, an axis, and a start/end, plot the interval between the start and end. Parameters: d -- The building record. ax -- The axis. start -- Index of start time. end -- Index of ...
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def test_get_virtual_roots(xsession: XSession): """Tests that the list of virtual can be retrieved.""" virtual_roots = xsession.get_virtual_roots() if virtual_roots is not None: assert isinstance(virtual_roots, list)
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def parse_qsub_defaults(parsed): """Unpack QSUB_DEFAULTS.""" d = parsed.split() if type(parsed) == str else parsed options={} for arg in d: if "=" in arg: k,v = arg.split("=") options[k.strip("-")] = v.strip() else: options[arg.strip("-")] = "" ...
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def load_embeddings(word_map=None, binary=True): """ Creates an embedding tensor for the specified word map, for loading into the model. :param word_emb_file: file containing embeddings (stored in GloVe format) :param word_map: word map. If None, it will be comprised from the embeddings vocabulary :...
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def update_business_profile(business: Business, profile_info: Dict) -> Dict: """Set the legal type of the business.""" if not business or not profile_info: return {'error': babel('Business and profile_info required.')} # contact phone is optional phone = profile_info.get('phone', '') error...
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def nextpow2(i): """ Find the next power of 2 for number i """ n = 1 while n < i: n *= 2 return n
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def _extra_topo_sort(bad_ordering: Sequence[DiscoveredExtension]) -> Sequence[DiscoveredExtension]: """ Simple depth-first search version of a topological sort, but without recursion. :param bad_ordering: :return: """ lookup: Dict[str, DiscoveredExtension] = {} for node in bad_ordering...
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def getclasesbyid_(numid): """ Returns all defined clases by id [number] """ data = get_info_token() user_ = data['User'] rol_ = data['Rol'] data_response = '' if rol_ == 'Professor': try: bool_, data_response = getclassbyid_(data['User'],numid) if bool_: ...
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def load_versions(): """Load Bioversions data.""" with open(VERSIONS_PATH) as file: return json.load(file)
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async def retrieve_document(document_id: str, collection: str) -> dict: """ :param document_id: :param collection: :return: """ document_filter = {"_id": ObjectId(document_id)} if document := await greens.app.state.mongo_collection[collection].find_one(document_filter): return await...
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def get_kalliope_poststukken_uit(path, session, from_, to=None, dossier_types=None): """ Perform the API-call to get all poststukken-uit that are ready to be processed. :param path: url of the api endpoint that we want to fetch :param se...
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def export_image(filename=None, type='PNG', resolution=None, units=None, height=None, width=None, zoom=None, network=None, base_url=DEFAULT_BASE_URL): """ Save the current network view as an image file. The image is cropped per the current view in Cytoscape. Consider applying :meth:`fit_conten...
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def lstsq_cholesky( coefs: np.ndarray, result: np.ndarray, ) -> np.ndarray: """Solve OLS problem using a Cholesky decomposition.""" left = coefs.T @ coefs right = coefs.T @ result return scipy.linalg.solve(left, right, assume_a="pos")
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def get_packages(package): """Return root package and all sub-packages. """ return [dirpath for dirpath, dirnames, filenames in os.walk(package) if os.path.exists(os.path.join(dirpath, "__init__.py"))]
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def load_class_by_alias_or_classname(namespace, name): """Load a class using stevedore alias or the class name. :param namespace: The namespace where the alias is defined. :param name: The alias or class name of the class to be loaded. :returns: Class if it can be loaded. :raises ImportError: if cl...
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def _standardize(signals, demean=True, normalize=True, inplace=True, verbose=False): """ Center and norm a given signal (time is along first axis) Attention: this will not center constant signals but will replace these with colums of ones Parameters ...
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def bbox_to_poly(bboxes: np.ndarray) -> np.ndarray: """ Expects bboxes in xyxy format. Turns each into a 1D array with 8 entries, every consecutive pair being for one vertex (starting from top left and going around clockwise) Works with single bboxes (shape is (4, )) or multiple bboxes (shape is ...
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def test_projections_fits_example_in_wiki_RTK(): """ Compare the two projections, in L2 norm """ assert norm(diff) <= tol * norm(projWiki) assert norm(diff, 1) <= tol * norm(projWiki, 1) assert norm(diff, 2) <= tol * norm(projWiki, 2) assert norm(diff, np.inf) <= tol * norm(projWiki, np....
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def waypts_2_pwsplines(wp_traj, dt, degree=1, plot=False): """ Convert a sequence of multi-dimensional sparse waypoints to a sequence of interpolated multi-dimensional waypoints via splines. Parameters ---------- wp_traj: horizon * n_s, a sequence of waypoints. dt: duration of 1 time step o...
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def _bin_data(aa, bb, bins=10, verbose=False): """ If unbinned data has come in, do something smart with it here. Uses numpy.histogram for binning. bins can be: - int: number of bins - list or array: bin boundaries, from min to max, half open on right, like numpy, when bins=[1, 2, ...
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def initialize_logger(logger, logger_id, progress_bar=None, log_queue=None): """ Initialize logger for the :class:`pyro.infer.mcmc` module. :param logger: logger instance. :param str logger_id: identifier for the log record, e.g. chain id in case of multiple samplers. :param progress_bar: a...
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def test_meta_plus_classmethod(namespaceable, namespace): """Test using a classmethod in a Namespace, while messing with metaclasses. This might have been purely for coverage of some kind? I forget. """ class Meta(namespaceable, type(namespaceable)): """A throwaway test metaclass.""" wi...
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def EncodeConstants(const_dict): """the NPU requires that weights are compressed and bias/scales are 'encoded', both of which are performed by this pass. This pass modifies both the constant dict to contain the post-encoding values of the constants and the IR to adjust buffer types/sizes/accesses so th...
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def copyDirContents(source, destination, umask='000'): """ Copy the contents of a folder recursively. Could rewrite using shutil.copy / copytree? """ src = os.path.normpath(os.path.join(source, "*")) dst = os.path.normpath(destination) if platform.system() == "Windows": cmdStr = 'copy /Y "%s" "%s"' %(src, dst...
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def naive_vis(x_train, y_train): """Create some plots of some simple summary statistics of the data Args: x_train: pandas DataFrame Features for training y_train: pandas Series Targets for training Returns: None """ naive = get_naive_features(x_train...
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def count_tweet_shed_words_freq(tweet_text, ind_shed_word_dict, shed_word_ind_dict, shed_words_set): """ Count the frequency of selected Hedonometer words in tweet text. param tweet_text: String of text field of tweet return: dict of shed_word_ind to shed_word_freq mapping """ '''...
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def test_against_David_Law(): """ Test my code against an output file from using David Law's cpp code. Do: g++ SgrCoord.cpp; ./a.out to generate the data file, SgrCoord_data. """ filename = get_pkg_data_filename('SgrCoord_data') law_data = np.genfromtxt(filename, names=True, delim...
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def parse_date(text): """Return POSIX timestamp obtained from parsing date and time from given date string. Return None if no text given. """ if text: return dateparser.parse(text).timestamp()
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def format(table, field, fmt, **kwargs): """ Convenience function to format all values in the given `field` using the `fmt` format string. The ``where`` keyword argument can be given with a callable or expression which is evaluated on each row and which should return True if the conversion shou...
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def colorbias(img, refcolor=np.array([1.,0,0])): """ Compute Color Bias """ img_hsv = skimage.color.rgb2hsv(img) refcolor = skimage.color.rgb2hsv(refcolor.reshape(1,1,3)) # to make it compatible #dH = np.abs(np.sin((img_hsv[...,0] - refcolor[...,0]))) #dS = np.abs(img_hsv[...,1] - refcolor[...,1]) ...
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def walk_json(e, dict_fct=i, list_fct=i, num_fct=i, str_fct=i, bool_fct=i, null_fct=i, not_found=not_found_default): """ Go throught a json and call each function accordingly of the element type for each element, the value returned is used for the json output This doesn't change the input json, but re-c...
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def replaceFile(oldname, newname): """ Rename file 'oldname' to 'newname'. """ if os.name == 'nt' and os.path.exists(oldname): # POSIX rename does an atomic replace, WIN32 rename does not. :-( try: os.remove(newname) except OSError, exc: import errno ...
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def colIm(z): """Returns a colour where log(Im(z)) is represented by hue. This makes it easy to see where Im(z) converges to 0""" h = np.log(z.imag)*pi l = np.clip(0.5+0.05*z.real,0.1,0.9) s = 1 c = hsl2rgb(h,s,l) return c
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def gsl_blas_zdotc(*args, **kwargs): """gsl_blas_zdotc(gsl_vector_complex const * X, gsl_vector_complex const * Y, gsl_complex * dotc) -> int""" return _gslwrap.gsl_blas_zdotc(*args, **kwargs)
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def random_neighbour(vec,myid,n): """Generates a random binary vector that is 1-bit away (a unit Hamming distance) Args: vec (list or numpy.ndarray): An input vector myid (int): An id of an agent of interest n (int): Number of tasks allocated to a single agent Returns: list...
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def reset(config_file): """Restores the configuration file to its original state.""" if config_file.path == STB_INTERNAL_CONFIG_FILE: click.secho( "You're using the internal configuration file, can't reset.", fg="red" ) else: config_file.restore_original(original_path=STB...
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def _degree_of_endstopping(model, block, image, weight_id0, weight_id1, weight_id2): """Passes image to model and records the activations of block. The activations are normalized to be in [0, 1] and then summed over using different weighted masks. Parameters ---------- model : nn.Module ...
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def posts(parsed): """Calculates number of every type of post""" num_t_post = 0 num_corner_post = 0 num_line_post = 0 num_end_post = 0 num_gate_posts = 0 for post in parsed.posts(): if not post.isRemoval: if post.postType == 'tPost': num_t_post += 1 ...
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def _compute_populations(mvts: pd.DataFrame, label_col_name) -> dict: """ A private method that computes the population corresponding to each class label. :param mvts: The dataframe who class population is of interest. :param label_col_name: The column-name corresponding to the class labels in `mvts`. ...
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def plot_avg_sum_capacity_comparison( df: pd.DataFrame, port1: str, port2: str, vessel_type: str ) -> go.Figure: """ Returns a figure for the first chart on the Compare tab. It shows per day comparison between average sum of capacity by applied conditions. :param df: Pandas DataFrame, input data ...
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def fetchUrlPages(url: str, cacheDir: str = None) -> dict: """ Realiza a requisição dos dados da API retornando os dados paginados. https://openbanking-brasil.github.io/areadesenvolvedor-fase1/#introducao-paginacao """ root = fetchUrl(url, cacheDir = cacheDir) if root == None or not type(root) ...
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def _add_cloud_distro_check(cloud_archive_release, openstack_release): """Add the cloud pocket, but also check the cloud_archive_release against the current distro, and use the openstack_release as the full lookup. This just calls _add_cloud_pocket() with the openstack_release as pocket to get the corr...
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async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry): """Set up the rinnaitouch integration from a config entry.""" ip_address = entry.data.get(CONF_HOST) _LOGGER.debug("Get controller with IP: %s", ip_address) try: system = RinnaiSystem.get_instance(ip_address) #scenes...
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def num_neighbours(lag=1): """ Calculate number of neigbour pixels for a given lag. Parameters ---------- lag : int Lag distance, defaults to 1. Returns ------- int Number of neighbours """ win_size = 2*lag + 1 neighbours = win_size**2 - (2*(lag-...
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def get_solr_data_recommend(function, reader, rows=5, sort='entry_date', cutoff_days=5, top_n_reads=10): """ :param reader: :param rows: :param sort: :param cutoff_days: :param top_n_reads: :return: """ query = '({function}(topn({topn}, reader:{reader}, {sort} desc)) entdate:[NOW-{c...
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def normalize_key(key): """ Formata a chave para ser utilizada no json. Args: key (string): Campo coletado no scraping dos dados do MEC. Returns: Retorna a sttring formatada para ser utilizada no json. """ aux = key.strip(' :').replace(' ', '_').lower() ...
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def line(p0=(0,0), p1=(1,0)): """ p0 p1 o-----------o +--> u """ p0 = np.asarray(p0, dtype='d') p1 = np.asarray(p1, dtype='d') points = np.zeros((2,3), dtype='d') points[0,:p0.size] = p0 points[1,:p1.size] = p1 knots = [0,0,1,1] return NURBS([knots], points)
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def test_matcher_uses_on_match_callback(matcher: RegexMatcher, doc: Doc) -> None: """It utilizes callback on match functions passed when called on a Doc object.""" matcher(doc) assert "usa" in [ent.text for ent in doc.ents]
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def superior(): """a fixture for lake superior""" superior = LakeFactory(lake_name="Lake Superior", abbrev="SU") return superior
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def hsv_mask(img, hue_mask, sat_mask, val_mask): """ Returns a binary image based on the mask thresholds :param img: The image to mask :param hue_mask: Tuple of (hue_min, hue_max) :param sat_mask: Tuple of (sat_min, sat_max) :param val_mask: Tuple of (val_min, val_max) :return: Binary image ...
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def convert_parameter_dict_to_presamples(parameters): """Convert a dictionary of named parameters to the form needed for ``parameter_presamples``. ``parameters`` should be a dictionary with names (as strings) as keys and Numpy arrays as values. All Numpy arrays should have the same shape. Returns (numpy s...
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def convert_to_rle(annotation, width, height): """Convert complex polygons to COCO RLE format. Arguments: annotation: a dictionary for an individual annotation in Darwin's format Returns: an annotation in encrypted RLE format and a bounding box @author Dinis Gokaydin <d.gokaydin@nationaldrones....
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def test_suggest_delete_local_ixf_no_flag(entities, capsys): """ Automatic updates for network are disabled. There is no remote-ixf corresponding to an existing netixlan. There is a local-ixf corresponding to that netixlan but it does not flag it for deletion. We flag the local-ixf for deletion,...
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def getfqdn(name=None): """return (a) local IPv4 or v6 FQDN (Fully Qualified Domain Name) if name is not given, returns local hostname may raise socket.gaierror""" return _getfqdn(socket.AF_UNSPEC, name)
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def create_answer_dict(elem, restrict_elem=None, checkbox=False): """ Construct dict with choices to fulfil form's div attribute :param elem: ElemntTree element :param restrict_elem: name of element which is not included in choice text :param checkbox: boolean flag to work return data for checkbox ...
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def fasta(file_allname: str): """ 需要传入file_allname的路径 :param file_allname: :return: 返回fasta格式的序列list """ try: # file_allname = input("输入你要分析出的文件,包括后缀名\n") f = open(file_allname).read() fasts = f.split(">") fast_seq = [] index = 0 for fa...
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def ensure_variables_initialized(variables=None, name=None): """ Ensure variables are initialized. Args: variables (list[tf.Variable] or dict[str, tf.Variable]): Ensure only the variables within this collection to be initialized. If not specified, will ensure all variables w...
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def ask_version(version): """ interact with user to determine what to do""" upgrades = get_upgrades() latest = get_latest(version, upgrades) answer = False if latest > version: msg = "a new version (%s) is available. You have %s. Upgrade?" % (latest, version) answer = True if raw_inp...
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def format_size(size): """ :param float size: :rtype: str """ size = float(size) unit = 'TB' for current_unit in ['bytes', 'KB', 'MB', 'GB']: if size < 1024: unit = current_unit break size /= 1024 return '{0:.2f}'.format(size).rstrip('0').rstrip('...
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def make_full_block_header_list(block_header): """Order all block header fields into a list.""" return make_short_block_header_list(block_header) + [ block_header.timestamp, block_header.extraData, ]
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def path_constructor( loader: Union[Loader, FullLoader, UnsafeLoader], node: Node ) -> PathLike: """ Extract the matched value, expand env variable, and replace the match. :param loader: not used :param node: YAML node :return: path :raises SyntaxError: if the node value does not match the ...
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def rc_seq(seq=""): """Returns the reverse compliment sequence.""" rc_nt_ls = [] rc_dict = { "a": "t", "c": "g", "t": "a", "g": "c", "n": "n", "A": "T", "C": "G", "T": "A", "G": "C", "N": "N" } rc_nt_ls = [rc_dict[seq[i]...
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def deduplicate(directories: List[str], recursive: bool, dummy_run: bool) -> None: """ De-duplicate files within one or more directories. Remove files that are identical to ones already considered. Args: directories: list of directories to process recursive: process subd...
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def descriptions(path, values): """Transform descriptions.""" if not values: return root = E.descriptions() for value in values: elem = E.description( value['description'], descriptionType=value['descriptionType'] ) set_non_empty_attr(elem, '{xml}lang', value...
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def build_default_region_dataset( metrics: Mapping[FieldName, Union[Sequence[float], TimeseriesLiteral]], *, region=DEFAULT_REGION, start_date="2020-04-01", static: Optional[Mapping[FieldName, Any]] = None, ) -> timeseries.MultiRegionDataset: """Returns a `MultiRegionDataset` containing metrics ...
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def process(entries): """ Look for Science Direct (SCOPUS) database to update the bibliography entries. This update evaluates only '@ARTICLE' entry types. :param entries: list of bibtex entries :return: """ log.info("Seeking for Science Direct (SCOPUS) entries") count = 0 for e in e...
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def load_espnet_model(model_path): """Load an end-to-end model from ESPnet. :param model_path: Path to the model. :type model_path: str :return: The model itself, mapping from subword to index, and training arguments used. :rtype: (torch.nn.Module, dict, dict) """ model, train_...
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def full_match(nfa: NFA, text: Iterator[str]) -> Union[Match, None]: """ :param nfa: a NFA :param text: a text to match against :return: match or ``None`` """ text_it = _peek(text, sof='', eof='') curr_states_set = StatesSet() next_states_set = StatesSet() curr_states_set.extend(c...
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def smiles_tokenizer(line, atoms=None): """ Tokenizes SMILES string atom-wise using regular expressions. While this method is fast, it may lead to some mistakes: Sn may be considered as Tin or as Sulfur with Nitrogen in aromatic cycle. Because of this, you should specify a set of two-letter atoms ex...
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def merge_parameter_sets(first: Set[ParameterDefinition], second: Set[ParameterDefinition]) -> Set[ParameterDefinition]: """ Given two sets of parameter definitions, coming from different dependencies for example, merge them into a single set """ result: Set[ParameterDefinition] = first.intersection(sec...
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def pca(data, submeans=0, keep=-1, flip=1, sparse=0): """Auto-selecting PCA, with data in columns. The 'data' matrix should be ndims X npts. If npts > ndims, then does a PCA directly. If ndims > npts, then does PCA on transpose, and does appropriate normalization. Returns (eigvals, eigvecs)...or som...
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def build_udp_header(src_port, dst_port, length): """Builds a valid UDP header and returns it Parameters: - src_port: A uint16 which will be used as source port for the UDP header - dst_port: A uint16 which will be used as destination port for the UDP header ...
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def plot_confus_mat(y_true, y_pred, classes_on=None, normalize='true', linewidths=0.02, linecolor='grey', figsize: tuple = (4, 3), ax=None, fp=None, **kwargs): """ by default, normalized by row (true classes) """...
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def set_config_option(section: str, option: str, value: Any, write_to_disk: bool = False) -> bool: """ Function which updates configuration option value. By default if "write_to_disk" is False, value will only be updated in memory and not on disk. This means it won't be reflected in Plugin processes w...
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def test_extract_seq(): """ AA GT┘ <-bridge read GACGGTTGC <-bridge contig 0123456789 <-contig coord ctg_clv^ ^ice ...GACGGTTGC... <-genome 5678901234 <-genome coord 1 | ref_clv^ ^ire """ ctg = MagicMock() ctg....
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def add_or_update_user(username): """ Gets twitter user and tweets from twitter DB Gets user by "username" parameter. """ try: # Gets back twitter user object twitter_user = TWITTER.get_user(username) # Either updates or adds user to our DB db_user = (User.query.get(t...
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async def home(): """ Home endpoint to redirect to docs. """ return RedirectResponse("/docs")
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def robust_hist(x, ax=None, **kwargs): """ Wrapper function to `plt.hist` dropping values that are not finite Returns: Axes """ mask = np.isfinite(x) ax = ax or plt.gca() ax.hist(x[mask], **kwargs) return ax
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def get_version(package): """ Return package version as listed in `__version__` in `init.py`. """ init_py = open(os.path.join(package, "__init__.py")).read() return re.search( r"^__version__ = ['\"]([^'\"]+)['\"]", init_py, re.MULTILINE, ).group(1)
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def base36encode(number, alphabet='0123456789abcdefghijklmnopqrstuvxxyz'): """Convert positive integer to a base36 string.""" if not isinstance(number, (int, long)): raise TypeError('number must be an integer') # Special case for zero if number == 0: return alphabet[0] base36 = '' ...
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def pipe(*args, **kwargs): """A source that builds a url. 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 'base'. May contain the keys 'params' or 'path'...
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def get_rotation(rotation): """ Return the text angle as float. The returned angle is between 0 and 360 deg. *rotation* may be 'horizontal', 'vertical', or a numeric value in degrees. """ try: angle = float(rotation) except (ValueError, TypeError): isString = isinstance(rota...
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def checkWrite(request): """Check write""" try: _path = request.query_params.get("path") import os _file = open(_path + "test.txt", "w") _file.write("engine write test") _file.close() return HttpResponse(_path + "test.txt") except ValueError as e: ret...
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def prob_random(): """Prints out the states of various RNGs.""" print('random state: python %.3f torch %.3f numpy %.3f' % ( random.random(), torch.rand(1)[0], np.random.rand()))
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def most_seen_creators(event_kind=None, num=10): """ Returns a QuerySet of the Creators that are associated with the most Events. """ return Creator.objects.by_events(kind=event_kind)[:num]
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def use_memmap(logger, n_files=1): """Memory-map array to a file, and perform cleanup after. .. versionadded:: 0.0.8 Parameters ---------- logger : :obj:`logging.Logger` A Logger with which to log information about the function. n_files : :obj:`int`, optional Number of memory-m...
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async def test_activating_scene(hass): """Test the activation of a scene.""" calls = [] context = Context() @callback def record_call(service): """Add recorded event to set.""" calls.append(service) hass.services.async_register(scene.DOMAIN, SERVICE_TURN_ON, record_call) h...
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def _create_parser(): """ @rtype: argparse.ArgumentParser """ parser = argparse.ArgumentParser() parser.add_argument("tasks", help="perform specified task and all its dependencies", metavar="task", nargs = '*') parser.add_argument('-l', '--list-tasks', help = "List the ta...
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def sql_insert_account(con, vals): """ Insert a row/account into the accounts table. param vals: (account, username, password, email, tag, iv, salt) tag, iv, & salt are required for password decryption. """ cursor = con.cursor() try: cursor.execute(""" INSERT INT...
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def _verify_all_states_reachable(states_list): """Verifies that all states are reachable from the initial state.""" # This queue stores state names. processed_queue = [] curr_queue = [states_list[0]['name']] while curr_queue: curr_state = curr_queue[0] curr_queue = curr_queue[1:] ...
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def test_merge_strategy_merge_state_top_saltenv_foo(dunder_opts): """ This tests with state_top_saltenv=foo, which should pull states *only* from the foo saltenv. Since that top file is only authoritative for its own saltenv, *only* the foo saltenv's matches from the foo top file should be in the re...
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def gauss_to_post(trainer: IvectorExtractorTrainer) -> None: """ Multiprocessing function that does Gaussian selection and posterior extraction See: - http://kaldi-asr.org/doc/gmm-global-get-post_8cc.html - http://kaldi-asr.org/doc/scale-post_8cc.html for more details on the Kaldi binary ...
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def read_lexicon(): """ Returns the dict of {'word': string, 'score': int} represented by lexicon.txt """ return read_dict('resources/lexicon.txt')
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def get_usd_qt_path(): """ Returns path where USD Qt files are located :return: str """ from tpDcc.libs.python import path platform_dir = get_platform_path() if not platform_dir or not os.path.isdir(platform_dir): LOGGER.warning('No USD platform directory found: "{}"'.format(platfo...
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