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def get_session_triplets( sessions: List[int], match_types: List[int] ) -> Tuple[List[int], List[int], List[int]]: """Generate all possible triplets for each session. :param sessions: A list of integers denoting session label :param match_types: A list of integers denoting match type - 0 for anchor, 1 ...
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def _rotation_matrix_hme_to_hee(hmeframe): """ Return the rotation matrix from HME to HEE at the same observation time """ # Get the Sun-Earth vector sun_earth = HCRS(_sun_earth_icrf(hmeframe.obstime), obstime=hmeframe.obstime) sun_earth_hme = sun_earth.transform_to(hmeframe).cartesian # Ro...
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def timestamp_before_update(mapper, connection, target): """Update `updated` property with current time on `before_update` event.""" target.updated = datetime.utcnow()
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def display_cluster_median_values(df_fit, df_orig, cluster_range): """Display a series of DataFrames for desired cluster range with median feature values and size for each cluster. Arguments: ---------- - df_fit: dataframe, preprocessed data containing the presumed clusters - df_orig: data...
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def get_image(microscopy_collection, series): """Return microscopy image.""" image = microscopy_collection.image(s=series) image = image[:, :, 0] return image
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def goToDirectory(alias): """go to a saved directory""" if not settings.platformCompatible(): return False data = pickle.load(open(settings.getDataFile(), "rb")) try: data[alias] except KeyError: speech.fail("Sorry, it doesn't look like you have saved " + alias + " yet.") speech.fail("Go to the directory y...
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def process_aa_snvs(aa_snv_dict, name, defs): """ Parameters ---------- aa_snv_dict: dict name: str defs: pandas.DataFrame - genes or proteins dataframe from genes_and_proteins.py """ aa_snv = ( pd.DataFrame.from_dict(aa_snv_dict, orient="index", columns=["id"]) ....
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def test_cli(subprocess_check_call: MagicMock): """Should execute the cli command with the expected arguments.""" path = str(pathlib.Path("/foo/bar").absolute()).replace("\\", "/") assert cli.main(["-d", path, "--tag-version=10.11.12"]) command = subprocess_check_call.call_args.args[0] assert f"{pa...
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def use_file(filename): """ Return a decorator which will parse a kicad file before running the test. """ def decorator(test_method): """ Add params to decorator function. """ @wraps(test_method) def wrapper(self): """ Parse file then run test. """ self.desi...
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def create_autoscaler(gce, mig, params): """ Create a new Autoscaler for a MIG. :param gce: An initialized GCE driver object. :type gce: :class: `GCENodeDriver` :param mig: An initialized GCEInstanceGroupManager. :type mig: :class: `GCEInstanceGroupManager` :param params: Dictionary of ...
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def recog_with_two_models(args): """Decode with the given args. Args: args (namespace): The program arguments. """ set_deterministic_pytorch(args) # Weiran: load both models. model1, train_args1 = load_trained_model(args.model1) assert isinstance(model1, ASRInterface) model1.re...
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def chromium_all(*, min_major_version: int = 90, min_minor_version: int = 40) -> List[str]: """get chrome versions""" resp = Request.get(CHROME_REP_URL) versions = RE_CHROMIUM.findall(resp) versions = [v for v in versions if len(v.split(".")) > 2 and (int(v.split(".")[-1]) >= min_minor_version ...
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def test_check_mod_args(mock_module, mock_check_dsl_dependencies, mock_has_interface_config, mock_add_global_ospf, mock_config_ospf_int): """ cl_quagga_ospf - check mod args """ instance = mock_module.return_...
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def test_input_type(): """ Test for error if input is of a wrong type Parameters ---------- None Returns ------- None The test should pass and no asserts should be displayed. """ # Wrong dataframe input try: numerical_eda( list(cars), ...
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def setup(hass, config): """Setup platfrom""" async def async_auto_scale(call): """Call auto scale service handler.""" await async_handle_auto_scale_service(hass, call) hass.services.register( DOMAIN, SERVICE_AUTO_SCALE, async_auto_scale, schema=AUTO_SCALE_S...
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def parse_command_line_args(args): """Parse command line arguments. Args: args ([str]): List of command line arguments and flags. Returns (argparse.Namespace): Parsed arguments from argparse """ parser = argparse.ArgumentParser() parser.add_argument( '-s', '--schema',...
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def train_linear_clf(n_fits): """Called by the `/train` HTTP GET method in `logic.py` module. Parameters ---------- n_fits : int Number of partial fits applied to the linear estimator. Returns ------- dict measured_accuracy : float Accuracy of the linear classifier after application of the...
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def list_joysticks(): """return list of all joystick names""" joysticks = get_all_joysticks() return [joy.get_name() for joy in joysticks]
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def write_csv(vendor,product,scrape_array): """ creates a output file like "vendor-product.csv" and then writes mapped items in scrape_array""" if not os.path.exists('output'): os.makedirs('output') if not os.path.exists('output/'+vendor): os.makedirs('output/'+vendor) if os.path.exists(...
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def kurtosis(inlist): """ Returns the kurtosis of a distribution, as defined in Numerical Recipies (alternate defn in CRC Standard Probability and Statistics, p.6.) Usage: lkurtosis(inlist) """ return moment(inlist, 4) / pow(moment(inlist, 2), 2.0)
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def compute_iou(box, boxes): """Calculates IoU of the given box with the array of the given boxes. box: a polygon boxes: a vector of polygons Note: the areas are passed in rather than calculated here for efficiency. Calculate once in the caller to avoid duplicate work. """ # Calculate inters...
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def far(scores, labels, frr_op): """ Calculates FAR from FRR operating point. Parameters ---------- scores: np array It holds the score information for all samples (genuine and impostor). It is expected that impostor (negative) scores are, at least by design, greater than genuine (...
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def iso_to_plotly_time_string(iso_string): """Remove timezone info and replace 'T' delimeter with ' ' (ws).""" # make sure we don't send timezone info to plotly if (iso_string.split("-")[:3] == "00:00") or (iso_string.split("+")[0] == "00:00"): raise Exception( "Plotly won't accept times...
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def mk_vis_txt_pair_datalist(anno_path, data_ratio=1.0, vis_id_key="coco_id", txt_key="caption"): """ Args: anno_path: str, path to .jsonl file, each line is a dict data_ratio: float, (0, 1], when < 1, use part of the data. vis_id_key: str, image/video file i...
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def float_func(arg): """ Internal argument validation, have exceptions defined after a chain of function calls """ exobj = putil.exh.get_or_create_exh_obj() exobj.add_exception( exname='illegal_argument', extype=TypeError, exmsg='Argument `arg` is not valid' ) exo...
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def index_greater(array, prec=1e-8): """ Purpose: Function for finding first item in an array that has a value greater than the first element in that array If no element is found, returns None Precision: 1e-8 Return: int or None """ item=array[0] for idx, val ...
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def _json_print(json): """ Pretty print JSON """ print jsonlib.dumps(json, indent=4, separators=(',', ': '))
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def get_ssl_sampler(labels, valid_num_per_class, annotated_num_per_class, num_classes): """ :param labels: torch.array(int tensor) :param valid_num_per_class: the number of validation for each class :param annotated_num_per_class: the number of annotation we use for each classes :param num_classes: ...
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def load_parse_dict(): """Dicts for parsing Arc line lists from NIST Rejected lines are in the rejected_lines.yaml file """ dict_parse = dict(min_intensity=0., min_Aki=0., min_wave=0.) arcline_parse = {} # ArI arcline_parse['ArI'] = copy.deepcopy(dict_parse) arcline_parse['ArI']['min_in...
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def is_test(method) -> bool: """ Checks if the given method is a test method. :param method: The method to check. :return: True if the method is a test method, False if not. """ return getattr(method, _constants.IS_TEST_ATTRIBUTE, False)
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def parseTargetDirect(): """ Parse target dbms and set some attributes into the configuration singleton. """ if not conf.direct: return details = None remote = False for dbms in SUPPORTED_DBMS: details = re.search(r"^(?P<dbms>%s)://(?P<credentials>(?P<user>.+?)\:(?P<pass>....
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def data_transform(array, array2=np.asarray((None)),type='z_score_norm', means=None, stds=None): """ Transforms data in the given array according to the type array :an nd numpy array. array2 :an nd numpy array(optional-for multidimensional datasets) type :'z_score_norm' = implements z score n...
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def load_items(reader): """Load items from HDF5 file: * reader: :py:class:`guidata.hdf5io.HDF5Reader` object""" with reader.group("plot_items"): names = reader.read_sequence() items = [] for name in names: klass_name = re.match( r"([A-Z]+[A-Za-z0-9\_]*)\_([0-9]*)", na...
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def zmatrix(file_prefix): """ generate zmatrix JSONObject :param file_prefix: path to file :type file_prefix: str :param json_prefix: top level keys ex: ('energy', ['gaussian', 'b3lyp', 'cc-pvdz', 'RR']) :type json_prefix: tuple :return: instance of JSONObject class :rtype: JSONObje...
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def sequence_nd( seq, maxlen=None, padding: str = 'post', pad_val=0.0, dim: int = 1, return_len=False, ): """ padding sequence of nd to become (n+1)d array. Parameters ---------- seq: list of nd array maxlen: int, optional (default=None) If None, will calculate m...
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def random_dists(filename): """ Given a Excel filename with a row for each variable and columns for the minimum and maximum, create a dictionary of Uniform distributions for each variable. Parameters ---------- filename : string Number of parameter settings to generate ...
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def is_changed(event, old_event): """ Compares two events and discerns if it has changes that should trigger a push :param event: :param old_event: :return: bool """ # Simple changes if any( event.get(field) != old_event.get(field) for field in ["severity", "certainty"] ): ...
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def print_guide(): """Prints the rules of the game""" print(RULES)
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def view(self, view_id): """Get a particular view belonging to a case group by providing view id Arguments: id(int): view id Returns: List of :class:`rips.generated.generated_classes.EclipseView` """ views = self.views() for view_object in views: if view_object.id == v...
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def enu2geodetic( e: ndarray, n: ndarray, u: ndarray, lat0: ndarray, lon0: ndarray, h0: ndarray, ell: Ellipsoid = None, deg: bool = True, ) -> Tuple[ndarray, ndarray, ndarray]: """ East, North, Up to target to geodetic coordinates Parameters ---------- e : float ...
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def Standard_GUID_HashCode(*args): """ * H method used by collections. :param aguid: :type aguid: Standard_GUID & :param Upper: :type Upper: int :rtype: int """ return _Standard.Standard_GUID_HashCode(*args)
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def get_import_stmt_str(alias_list, import_src=None, max_linechars=88): """ Construct an import statement by building an AST, convert it to source using astor.to_source, and then return the string. alias_list: List of strings to use as ast.alias `name`, and optionally also `...
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def convert_into_decimal(non_binary_number: str, base: int) -> int: """ Converts a non binary string number into a decimal number :param non_binary_number: :param base: :return: a decimal number """ decimal_number = 0 for digit in range(len(non_binary_number)): decimal_number...
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def main(): """ NAME eqarea_magic.py DESCRIPTION makes equal area projections from declination/inclination data SYNTAX eqarea_magic.py [command line options] INPUT takes magic formatted sites, samples, specimens, or measurements OPTIONS -h prints help me...
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def sgld_sweep() -> Sequence[SGMCMCConfig]: """sweep for vanilla sgld.""" sweep = [] for learning_rate in [ 1e-5, 5e-5, 1e-4, 5e-4, 1e-3, 5e-3, 1e-2 ]: for prior_variance in [0.01, 0.1, 0.5]: sweep.append(SGMCMCConfig(learning_rate, prior_variance)) return tuple(sweep)
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def stringify(num): """ Takes a number and returns a string putting a zero in front if it's single digit. """ num_string = str(num) if len(num_string) == 1: num_string = '0' + num_string return num_string
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def zip_courses(): """ function to intelligently zip all the courses depending upon if their zips have been deleted due to less number of downloads or not """ for root, dirs, files in os.walk(DATABASE_DIR, topdown=True): flag = 0 for name in dirs: if len(name) == 2: flag = 1 break if root[len(...
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def get_symbols(market): """ Gets top 100 symbols by market cap for which historical and incremental data refresh dags will be run. """ @task() def find_symbols(market): """ Gets the most popular X number of symbols and stores them in the symbol table. For crypto...
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def euc_distance(vertex, circle_obstacle): """ Finds the distance between the point and center of the circle. vertex: Vertex in question. circle_obstacle: Circle obstacle in question. return: Distance between the vertex and the center of the circle. """ x = vertex[0] - circle_obstacle.posi...
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def less(x, y): """ Returns the truth value of (x < y) element-wise. Parameters ---------- x : tensor Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64. y : tensor A Tensor. Must have the same t...
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def get_commit_shas_since(sha: str, dir: str) -> typing.List[str]: """Gets the list of shas for commits committed after the given sha. Arguments: sha {str} -- The sha in the git history. dir {str} -- An absolute path to a directory in the git repository. Returns: typing.List[str] -...
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async def test_cached_supported_features(hass, client, monkeypatch): """Test test supported features.""" monkeypatch.setattr(client, "is_on", False) monkeypatch.setattr(client, "sound_output", None) await setup_webostv(hass) await client.mock_state_update() # TV off, support volume mute, step, ...
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def decision_tree_learning(examples: list, attributes: list, parent_examples, importance_function: callable): """ Decision tree learning algorithm as given in figure 18.5 in Artificial Intelligence A Modern Approach. :param examples: list of dictionaries containing examples t...
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def modified_bessel(times, bes_A, bes_Omega, bes_s, res_begin, bes_Delta): """ Not Tested. """ b = np.where(times > res_begin + bes_Delta / 2., special.j0(bes_s * bes_Omega * (- res_begin + times - bes_Delta / 2.) ), (np.where(times < res_begin - bes_Delta / 2., spe...
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def predict_csr_val(csr_op, rs1_val, csr_val, csr_mask): """ Predicts the CSR reference value, based on the current CSR operation. Args: csr_op: A string of the CSR operation being performed. rs1_val: A bitarray containing the value to be written to the CSR. csr_val: A bitarray containing the current...
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def request(url: str, args: dict = None, method: str = 'GET'): """ Custom Method that requests data from requests_session and confirms it has a valid JSON return """ response = request_session(url, method, args) try: # you only come here if we can understand the API response retu...
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def link(): """Link the user's account with ORCID (i.e. affiliates user with their org on ORCID).""" # TODO: handle organisation that are not on-boarded redirect_uri = url_for("orcid_callback", _external=True) external_sp = app.config.get("EXTERNAL_SP") if external_sp: sp_url = urlparse(exte...
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def create_se3(ori, trans=None): """ Args: ori (np.ndarray): orientation in any following form: rotation matrix (shape: :math:`[3, 3]`) quaternion (shape: :math:`[4]`) euler angles (shape: :math:`[3]`). trans (np.ndarray): translational vector (shape: :math:`[...
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def build_negative_log_likelihood( image, telescope_description, oversampling, min_lambda, max_lambda, spe_width, pedestal, hole_radius=0 * u.m, ): """Create an efficient negative log_likelihood function that does not rely on astropy units internally by defining needed values as ...
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def kube_deploy_reloadbalance(name, namespace, d_app): """Re-loadbalance deployment resource.""" if not name: s_msg = 'name is not defined.' return (False, s_msg) if not namespace: s_msg = 'namespace is not defined.' return (False, s_msg) if not d_app: s_msg = 'ap...
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def _ParseParameterType(type_string): """Parse a parameter type string into a JSON dict for the DF SQL launcher.""" type_dict = {'type': type_string.upper()} if type_string.upper().startswith('ARRAY<') and type_string.endswith('>'): type_dict = collections.OrderedDict([ ('arrayType', _ParseParameterTy...
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def get_now_utc_epoch(): """ Returns the epoch :return: """ return int(time.time())
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def validate_and_update_registration(transaction_executor, vin, current_owner, new_owner): """ Validate the current owner of the given vehicle and transfer its ownership to a new owner in a single transaction. :type transaction_executor: :py:class:`pyqldb.execution.executor.Executor` :param transaction...
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def patch_fakeuseragent(): """Stub out fake useragent dep that makes requests.""" with patch("pylinky.client.UserAgent", return_value="Test Browser"): yield
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def __flip(direction): """INTERNAL. Flip the pixel map. """ global _pixel_map flipped_pixel_map = deepcopy(_pixel_map) for x in range(_w): for y in range(_h): if direction == "h": flipped_pixel_map[x][y] = _pixel_map[(_w - 1) - x][y] elif direct...
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def get_top_words(text: str, blacktrie: dict, top_n: int) -> List[str]: """Get top words in a string, excluding a predefined list of words. Args: text (str): Text to parse blacktrie (dict): Trie built from a blacklist of words to ignore top_n (int): Number of top words to return Returns: List[str]: List of...
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def get_fluid_colors(fXs, fVs, normalize=False): ## I realized that with limited data, this coloring does not make much sense """ Given the velocity field (Ux, Uy) at positions (X,Y), compute for every x in (X,Y) if the position is contributing to the inflow or the outflow. This can be obtained by u*x (scal...
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def getitem(x, item): """returns specific item of a tensor (Functional). # Arguments item: Item list. # Returns A new functional object. """ validate_functional(x) res = x.copy() ys = [] lmbd = [Lambda(lambda xx: xx.__getitem__(item)) for xx in x.outputs] for l, y ...
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def norm_range( data: torch.Tensor, min: float, max: float, per_channel: bool = True, out: Optional[torch.Tensor] = None ) -> torch.Tensor: """ Scale range of tensor Args: data: input data. Per channel option supports [C,H,W] and [C,H,W,D]. min: minimal value max: maximal value ...
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def get_mvarg(size_pos, position="full"): """Take xrandrs size&pos and prepare it for wmctrl (MVARG) format MVARG: <G>,<X>,<Y>,<W>,<H> * <G> - gravity, 0 is default """ allowed = ["left", "right", "top", "bottom", "full"] if position not in allowed: raise ValueError(f"Position has...
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def delete_direct_messages(auth, author_id, server_id, del_pinned): """ :param auth: is a long string about 88 characters which can be found by inspecting network to discord In the `Request Headers` -> `authorization`. :param author_id: :param server_id: author_id and server_id ...
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def fr2date(edate, **kwargs): """ Wrapper function for :func:`date2date` with French input and standard output date formats That means `date2date(edate, fr=True, **kwargs)`; but *fr* given in call will overwrite *fr=True*. Examples -------- >>> edate = ['12/11/2014 12:00', '01/03/2015 ...
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def plugin_test(myarg="default"): """ an example command that shows plugins read plugin class from plugin-example section in my-app.ini """ klass=app_config.opt_string("plugin-example", "class") if klass.startswith('.'): klass='MyApp.MyPlugins'+klass plugin=factory(klass+'.Plugin', myar...
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def convert_species_tuple2chianti_str(species): """ Convert a species tuple to the ion name format used in `chiantipy`. Parameters ----------- species: tuple (atomic_number, ion_number) Returns -------- str ion name in the chiantipy format Examples --------- >>> co...
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def calculate_version(validate=False, error_on_invalid=False): """Construct a version string from date, time, and short git hash If input argument `validate` is set to `True`, this uses the (non-standard, but pypi-installable) `packaging` module to check the output version string. If the version is no...
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def vote(request, village_no, day_no): """投票処理""" vote_id = request.POST['vote'] login_id = request.session.get('login_id', False) participant = VillageParticipant.objects.get(village_no=village_no, pl=login_id, cancel_flg=False) ability = VillageParticipantExeAbility.objects.get(village_participant...
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def read_header_offsets(file, block_size): """Reads the PBDF header (not checking the included file size) and returns the list of offsets adjusted to match decrypted data positions. Args: file: The decrypted input file. block_size (int): The block size in bytes at which end a checksum is pla...
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def level_2_win_play(x): """ Probability that a deck with x SSGs will win on the play using level two reasoning :param int x: SSGs in deck :return float: """ return sum([ level_2_hand_odds_play(i, x) * mull_to_play(i, x) for i in range(0, 8) ])
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def getfullargspec(func): """Get the names and default values of a function's arguments. A tuple of seven things is returned: (args, varargs, varkw, defaults, kwonlyargs, kwonlydefaults annotations). 'args' is a list of the argument names. 'varargs' and 'varkw' are the names of the * and ** argumen...
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def get_json(file_path): """ Faz a leitura de um arquivo Json com codificacao utf-8, apenas para arquivos dentro do diretorio folhacerta_settings :param file_path: (string) nome do arquivo json com extensao :return: Dicionario com os dados do json """ with open(file_path, en...
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def color_array(arr, alpha=1): """ take an array of colors and convert to an RGBA image that can be displayed with imshow """ img = np.zeros(arr.shape + (4,)) for row in range(arr.shape[0]): for col in range(arr.shape[1]): c = mpl.colors.to_rgb(arr[row, col]) img[...
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def test_train_test_split(get_traain_test_sp_data): """ Test the train test split""" train_test_split = create_train_test_split(get_traain_test_sp_data) assert "train" in list(train_test_split.keys()) assert "test" in list(train_test_split.keys()) assert "validate" in list(train_test_split.keys...
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def main(args): """Splitting dataset""" df = pd.read_csv("data/lenta-ru-news.csv", usecols=["text"]).dropna() if args.sample is not None: print(f"sampling {args.sample} texts") df = df.sample(args.sample, random_state=args.sample) train, valid = train_test_split( df, random_state...
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def showturtle(): """Makes the turtle visible. Aliases: showturtle | st No argument. Example (for a Turtle instance named turtle): >>> turtle.hideturtle() >>> turtle.showturtle() """ return __SingletonTurtle().showturtle()
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def escape_the_maze(params, output_proto): """Escapes the maze.""" size = 4 boxes = [(0, 1, 0), (2, 0, 1), (1, 3, 1), (3, 1, 3)] start = (3, 3, 0) end = (1, 0, 0) # Builds a map between each position in the grid and a unique integer between # 0 and size^3 - 1. index_map = {} reverse...
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def accuracy_plot(model_list, tag='', testerror=False, savefile=None, title=None, errorbars=False, loglog=False, ylim=None, fontsize=16, legend_fontsize=16, label_fontsize=16): """Accuracy Plot ====== Creates a plot of accuracy scores for experiments run with `ssl_trials`. Parameter...
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def test_init(isolated_runner): """Test project initialization from template.""" # create the project new_project = Path('test-new-project') assert not new_project.exists() result = isolated_runner.invoke(cli, INIT) assert 0 == result.exit_code assert new_project.exists() assert (new_pro...
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def get_setting(db, name): """ Get a specific setting @param db The database connection @param name The setting's name @return The setting's value """ result = _query(db, "SELECT value FROM settings WHERE name=%(name)s;", { "name" : name }) if len(result) > 0: return getattr(res...
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def test_c_1__three_army_circular_movement(): """ TURKEY: F Ankara Coast -> Constantinople Coast A Constantinople -> Smyrna A Smyrna -> Ankara """ game_map = generate_map() turkey_starting_configuration = [ {'territory_name': 'Ankara Coast', 'unit_type': UnitTypes.FLE...
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async def test_dbus_settime(coresys: CoreSys): """Set timestamp on backend.""" test_dt = datetime(2021, 5, 19, 8, 36, 54, 405718, tzinfo=timezone.utc) with pytest.raises(DBusNotConnectedError): await coresys.dbus.timedate.set_time(test_dt) await coresys.dbus.timedate.connect() await cores...
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def test_fcg_fc_overlap_5(df_fc_overlap_5): """Split 2x2 overlapping fragments that result in 4 fragment graphs""" df_fcg = fragment_combination_graph.generate(df_fc_overlap_5) assert len(df_fcg.index) == 4 # test each of the fgraphs # for i in range(len(df_fcg.index)): # print(df_fcg.iloc[i...
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def set_up_directory_simple(rootdir, classname): """rootdir is the root directory, classname is the wnid or human-readable name, directory will be rootdir/classname Creates directories if they don't exist; throws an error if classname directories exist and aren't empty.""" dir_path = os.path.jo...
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def exa(args) -> None: """Install exa which is an Rust-implemented alternative to ls. """ if args.install: if is_debian_series(): run_cmd("cargo install --root /usr/local/ exa") elif is_macos(): brew_install_safe(["exa"]) elif is_fedora_series(): r...
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def check_table_exists(client: AitoClient, table_name: str) -> bool: """check if a table exists in the instance :param client: the AitoClient instance :type client: AitoClient :param table_name: the name of the table :type table_name: str :return: True if the table exists :rtype: bool "...
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def bytes_to_str(s, encoding='latin-1'): """Extract null-terminated string from bytes.""" if b'\0' in s: s, _ = s.split(b'\0', 1) return s.decode(encoding, errors='replace')
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def get_time_delta(time_string: str) -> timedelta: """ Takes a time string (1 hours, 10 days, etc.) and returns a python timedelta object :param time_string: the time value to convert to a timedelta :type time_string: str :returns: datetime.timedelta for relative time :type datetime.timedel...
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def test_tablemodel(mock_program_dao): """Get a data manager instance for each test function.""" # Create the device under test (dut) and connect to the database. dut = RAMSTKDesignMechanicTable() dut.do_connect(mock_program_dao) yield dut # Unsubscribe from pypubsub topics. pub.unsubscrib...
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def weighmail(imap, folder, labels, observer=None): """Applies labels to message that meet size criteria. imap - IMAPClient folder - folder name to operate on labels - list of Label tuples observer - will call back to report progress """ imap.select_folder(folder) for label in labels:...
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def lens_of(data): """Apply len(x) to elemnts in data.""" return len(data)
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def _format_phone( phone: Any, output_format: str, fix_missing: str, split: bool, errors: str ) -> Any: """ Function to transform a phone number instance into the desired format. The last component of the returned tuple contains a code indicating how the input value was changed: 0 := the va...
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