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def RandomImageDetection(rows=None, cols=None): """Return a uniform random color `vipy.image.ImageDetection` of size (rows, cols) with a random bounding box""" rows = np.random.randint(128, 1024) if rows is None else rows cols = np.random.randint(128, 1024) if cols is None else cols return ImageDetectio...
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def upsample(x, stride, target_len, separate_cls=True, truncate_seq=False): """ Upsample tensor `x` to match `target_len` by repeating the tokens `stride` time on the sequence length dimension. """ if stride == 1: return x if separate_cls: cls = x[:, :1] x = x[:, 1:] outp...
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def torsional_scan_linspaces(zma, tors_names, increment=0.5, frm_bnd_key=None, brk_bnd_key=None): """ scan grids for torsional dihedrals """ sym_nums = torsional_symmetry_numbers( zma, tors_names, frm_bnd_key=frm_bnd_key, brk_bnd_key=brk_bnd_key) intervals = tuple(2*...
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def test_equal(): """Test for equality""" assert Q.positive(x) == Q.positive(x) assert Q.positive(x) != ~Q.positive(x) assert ~Q.positive(x) == ~Q.positive(x)
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def get_output_to_console(p_state): """Returns a bool indicating whether the Log is output to the console.""" return bool(_Get_Output_To_Console(ctypes.c_void_p(p_state)))
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async def calling_all_units(message: types.Message, config: Config, lang: Lang, bot: Bot): """ Handle messages starting with "@admin". No additional checks are done, so "@admin", "@admin!!!", "@administrator" and other are valid :param message: Telegram message with /report command :param config: c...
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def check_valid_column(observation): """ Validates that our observation only has valid columns Returns: - assertion value: True if all provided columns are valid, False otherwise - error message: empty if all provided columns are valid, False otherwise """ valid...
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def _params_to_filename(job_id, run_id, extra_run_id): """ Prepare file name based on params. Args: job_id (str): Job Uid run_id (str): Job Run Uid extra_run_id (str): Extra Job Uid Returns: str: filenames """ with current_app.app_context(): _logs_store...
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def load_starting_page(config_data): """ Load starting page into the CMS :param config_data: configuration data """ with chdir(os.path.abspath(config_data.project_directory)): env = deepcopy(dict(os.environ)) env[str('DJANGO_SETTINGS_MODULE')] = str('{0}.settings'.format(config_data...
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def test_rescale_nowf(generate_structure): """Test to rescale some structure """ from aiida_fleur.tools.StructureData_util import rescale_nowf from aiida_fleur.tools.StructureData_util import rescale from aiida.orm import Dict, Float structure = generate_structure() old_cell = np.array(structur...
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def w_getopt(args, options): """A getopt for Windows. Options may start with either '-' or '/', the option names may have more than one letter (/tlb or -RegServer), and option names are case insensitive. Returns two elements, just as getopt.getopt. The first is a list of (option, valu...
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def remove_files(ll, d, debug_level): """ Returns a list of all the lines in the file :param ll: list of all files :param d: directory :param debug_level: debug level :return: a list of all the lines in the file """ for l in ll: bash_command = "rm -f " + d + l if debug_le...
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def insert_new_img(data_dir): """ Insert new images into point cloud using image matching. New images must be saved in <data_dir>/images, along with the original images used to create an existing reconstruction with openSFM :param data_dir: directory of data :return: None; updates reconstructio...
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def swc(name, srcs = None, args = [], data = [], output_dir = False, swcrc = None, source_maps = False, out_dir = None, **kwargs): """Execute the swc compiler Args: name: A name for the target srcs: source files, typically .ts files in the source tree data: runtime dependencies to be pr...
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def cards_to_textfile(cards, outfile): """Take an iterable of cards, and turn them into a text file that Anki can read.""" for card in cards: outfile.write(card.to_character_separated_line())
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def get_alt_for_density(density: float, density_units: str='slug/ft^3', alt_units: str='ft', nmax: int=20, tol: float=5.) -> float: """ Gets the altitude associated with a given air density. Parameters ---------- density : float the air density in slug/ft^3 densi...
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def parse_date_string(date: str) -> datetime: """Converts date as string (e.g. "2004-05-25T02:19:28Z") to UNIX timestamp (uses UTC, always) """ # https://docs.python.org/3.6/library/datetime.html#strftime-strptime-behavior # http://strftime.org/ parsed = datetime.strptime(date, '%Y-%m-%dT%H:%M:%SZ')...
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def levenshtein_distance(s, t, ratio_calc = False): """ levenshtein_distance: Calculates levenshtein distance between two strings. If ratio_calc = True, the function computes the levenshtein distance ratio of similarity between two strings For all i and j, distance[i,j] will con...
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def jupyter_supervisor_conf( path=JUPYTER_SERVICE_SETTINGS['default_conf_file'], command=JUPYTER_SERVICE_SETTINGS['command'], args=JUPYTER_SERVICE_SETTINGS['args'], log_dir=SERVICES_DIR, autostart=JUPYTER_SERVICE_SETTINGS['autostart'], ): """Generates Supervisor config for Ju...
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def no_warnings(func): """ Decorator to run R functions without warning. """ def run_withoutwarnings(*args, **kwargs): warn_i = _options().do_slot('names').index('warn') oldwarn = _options()[warn_i][0] _options(warn=-1) try: res = func(*args, **kwargs) except ...
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def _dump(df, fmt='presto', idx='never'): """Dumps df to terminal""" print('\n', tabulate(df, headers='keys', tablefmt=fmt, showindex=idx))
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def test_returns_None_in_bucket_if_key_is_not_preset(): """Successfull returns appended None to bucket if both keys are not present""" h1 = HashMap(1) h2 = HashMap(1) h1.add('wrath', 'anger') h2.add('flow', 'jam') expected = [[['wrath', 'anger', None]]] actual = left_join(h1, h2) assert ...
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def ParseKindsAndSizes(kinds): """Parses kind|size list and returns template parameters. Args: kinds: list of kinds to process. Returns: sizes_known: whether or not all kind objects have known sizes. size_total: total size of objects with known sizes. len(kinds) - 2: for template rendering of gr...
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def load_3D(path, n_sampling=10000, voxelize=True, voxel_mode="binary", target_size=(30, 30, 30)): """Load 3D data into numpy array, optionally voxelizing it. Parameters ---------- path : srt Path to 3D file. n_sampling : int Number o...
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def test_list_unsigned_int_max_length_nistxml_sv_iv_list_unsigned_int_max_length_1_1(mode, save_output, output_format): """ Type list/unsignedInt is restricted by facet maxLength with value 5. """ assert_bindings( schema="nistData/list/unsignedInt/Schema+Instance/NISTSchema-SV-IV-list-unsignedIn...
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def create_vector2d(vec): """Returns a vector as a numpy array.""" return array([vec[0],vec[1]])
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def make_pdirs(fn): """Like mkdir -p `dirname fn`""" import os.path dn = os.path.dirname(fn) if not os.path.exists(dn): os.makedirs(dn)
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def get_chrom_start_end_from_string(s): """Get chrom name, int(start), int(end) from a string '{chrom}__substr__{start}_{end}' ...doctest: >>> get_chrom_start_end_from_string('chr01__substr__11838_13838') ('chr01', 11838, 13838) """ try: chrom, s_e = s.split('__substr__') start, ...
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def test_org_parser(): """Test the OrgParser parser.""" p = OrgParser() # this parser is not fully implemented yet with pytest.raises(NotImplementedError): p.parse("content")
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def Remove_Invalid_Tokens(tokenized_sentence, invalidating_symbols): """ Returns a tokenized sentence without tokens that include invalidating_symbols """ valid_tokens_sentence = [] + tokenized_sentence # forcing a copy, avoid pass by reference for token in tokenized_sentence: for invalid_symbol in invalidat...
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def _get_protocol(url): """ Get the port of a url. Default port is 80. A specified port will come after the first ':' and before the next '/' """ if url.find('http://') == 0: return 'http' elif url.find('https://') == 0: return 'https' else: return 'h...
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def convert_spectral_axis(mywcs, outunit, out_ctype, rest_value=None): """ Convert a spectral axis from its unit to a specified out unit with a given output ctype Only VACUUM units are supported (not air) Process: 1. Convert the input unit to its equivalent linear unit 2. Convert t...
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def row_to_str(row): """Convert a df row to a string for insert into SQL database.""" return str(list(row)).replace("[", "(").replace("]", ")")
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def interpolate_affines(affines): """ """ # get block grid block_grid = affines.shape[:3] # construct an all identities matrix for comparison all_identities = np.empty_like(affines) for i in range(np.prod(block_grid)): idx = np.unravel_index(i, block_grid) all_identities[id...
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def notify(subject, message, to="herbemalveillante@gmail.com"): """ Permet d'envoyer un mail à mon adresse pro pour me notifier de quelque chose d'important. """ msg = EmailMessage() msg.set_content(message) msg["subject"] = subject user = "alerts.herbemalveillante@gmail.com" msg["from"...
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def getLineMeasures(file_list, orders, names, err_cut=0): """ Find line center (in pixels) to match order/mode lines """ # Load in x values to match order/mode lines x_values = np.empty((len(file_list),len(orders))) x_values[:] = np.nan # want default empty to be nan x_errors = np.empty((len...
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def is_slackware(): """ Checks if we are running on a Slackware system. :returns: **bool** to indicate if we're on a Slackware system """ return os.path.exists('/etc/slackware-version')
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def save_data(url, file): """Save a dict into a file""" with open(file, 'w') as f: json.dump(get_json_data(url), f)
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def create_dropout_masks(route, fname, dimensionality, ks=1000): """ route = path where to create a file fname = filename ks = thousand of masks to create (1e6 masks by default) """ hdf5_backend = Backends.HDF5(route, fname) # set_trace() for i in xrange(ks): mask = random.random...
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def signature_exempt(view_func): """Mark a view function as being exempt from signature and apikey check.""" def wrapped_view(*args, **kwargs): return view_func(*args, **kwargs) wrapped_view.signature_exempt = True return wraps(view_func)(wrapped_view)
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def main(): """ Main function. """ args = arg_parser().parse_args() config = load_config(args.config) freeze(args, config)
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def setup(args): """ Create configs and perform basic setups. """ cfg = get_cfg() add_tridentnet_config(cfg) cfg.merge_from_file(args.config_file) cfg.merge_from_list(args.opts) # if args.eval_only: # cfg.MODEL.WEIGHTS = "/root/detectron2/projects/TridentNet/log_80_20/model_0...
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def emscript_fastcomp(infile, outfile, memfile, libraries, compiler_engine, temp_files, DEBUG): """Runs the emscripten LLVM-to-JS compiler. Args: infile: The path to the input LLVM assembly file. outfile: An open file object where the output is written. """ assert shared.Settings...
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def get_intersections(line, potential_lines, nodes, precision): """ Get the intersection points between the lines defined by two planes and the lines defined by the cost area (x=0, y=0, y=-x+1) and the lines defined by the possible combinations of predictors """ slope, intercept = line # In...
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def subtract_loss_from_gain(gain_load, loss_load): """Create a single DataCollection from gains and losses.""" total_loads = [] for gain, loss in zip(gain_load, loss_load): total_load = gain - loss total_load.header.metadata['type'] = \ total_load.header.metadata['type'].replace(...
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def zero_out_noisy_epochs(psg, sample_rate, period_length_sec, max_times_global_iqr=20): """ Sets all values in a epoch of 'period_length_sec' seconds of signal to zero (channel-wise) if any (absolute) value within that period exceeds 'max_times_global_iqr' times the IQR of all...
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def reduce_language_model(language_model_path, out_language_model_path): """ TODO DOCUMENTATION :param language_model_path: :param out_language_model_path: :return: """ command = 'sphinx_lm_convert' script = [command, '-i', language_model_path, '-o', out_lang...
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def start_training(channel: Channel) -> Tuple[List[ndarray], int, int]: """Start a training initiation exchange with a coordinator. The decoded contents of the response from the coordinator are returned. Args: channel (~grpc.Channel): A gRPC channel to the coordinator. Returns: ~typin...
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def has_forbidden(mylist) -> bool: """ Does the string contain one of the forbidden substrings "ab" "cd" "pq" "xy"? """ return bool(re.search(FORBIDDEN, mylist))
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def classFactory(iface): # pylint: disable=invalid-name """Load PagLuxembourg class from file PagLuxembourg. :param iface: A QGIS interface instance. :type iface: QgsInterface """ # from main import PAGLuxembourg return PAGLuxembourg(iface)
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def is_official_target(target_name, version): """ Returns True, None if a target is part of the official release for the given version. Return False, 'reason' if a target is not part of the official release for the given version. target_name: Name if the target (ex. 'K64F') version: The release ver...
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def test_ibd_1(): """ Test with custom distortion. """ ibd = InformationBottleneckDivergence(dist, beta=0.0, divergence=relative_entropy) ibd.optimize() pmf = ibd.construct_joint(ibd._optima) assert float(ibd.complexity(pmf)) == pytest.approx(0.0, abs=1e-4) assert float(ibd.relevance(pmf...
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def _convert_to_dict_or_str(elements_map: Dict[str, Element]) -> Dict[str, Union[str, Dict[Any, Any]]]: """Combines a dictionary of xml elements into a dictionary of dicts or str""" return { key: XmlDictElement(value) if value or value.items() else value.text for key, value in elements_map.items...
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def vsi_tecaji(): """ Funkcija vrne vse tečaje PGD Hrušica. """ poizvedba = """ SELECT id, naziv FROM tecaji """ tecaji = conn.execute(poizvedba).fetchall() return tecaji
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def cosine(u, v, dim=-1): """cosine similarity""" return (u * v).sum(dim=dim) / (u.norm(dim=dim, p=2) * v.norm(dim=dim, p=2))
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def retrive_cache_data(format: str, query: str) -> dict[int, Book]: """ Retrive the cached data for the query. """ date_now = datetime.now() # save the search results in the cache if not already there or if the cache is expired if format not in book_cache: book_cache[format] = {} if...
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def get_orders_loadings_palette_number(client_orders, value): """ Searches OrdersLoadingPlaces objects linked with client orders and that contain value :param client_orders: orders of profile :param value: value of palettes number for which OrdersLoadingPlaces objects are searching :return: List wit...
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def rotmat(x=0,y=0,z=0): """Rotation Matrix function This function creates and returns a rotation matrix. Parameters ---------- x,y,z : float, optional Angle, which will be converted to radians, in each respective axis to describe the rotations. The default is 0 for ea...
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def dump_db(): """Dumps the database into the tmp/ folder""" env.box_datetime = datetime.now().strftime('%Y-%m-%d-%s') env.box_dump_filename = os.path.join( os.getcwd(), 'tmp', '%(box_database_local)s-local-%(box_datetime)s.sql' % env, ) run_local('pg_dump -Ox %(box_database...
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def set_path_effects(object,**kwargs): """ Print a nice warning if withStroke doesn't exist. """ try: from matplotlib.patheffects import withStroke object.set_path_effects([withStroke(**kwargs)]) except ImportError, er: print 'Nicer plots require a newer version of matplotlib with pa...
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def add_model_components(m, d, scenario_directory, subproblem, stage): """ :param m: :param d: :return: """ m.Horizon_Energy_Target_Shortage_MWh = Var( m.ENERGY_TARGET_ZONE_BLN_TYPE_HRZS_WITH_ENERGY_TARGET, within=NonNegativeReals ) def violation_expression_rule(mod, z...
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def process(order): """ Process this timestamp """ cursor = PGCONN.cursor() for tarfn in glob.glob("NWSTG*tar.Z"): subprocess.call("uncompress %s" % (tarfn,), shell=True) ts = datetime.datetime.strptime(tarfn[6:14], '%Y%m%d') ts = ts.replace(hour=23, minute=59, tzinfo=pytz.utc) ...
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def grow_rate(n, k, nu_c, nu_d, sigma, g, dp, rho_c, rho_d, K): """ Compute the instability growth rate on a gas bubble Write instability growth rate equation in Grace et al. as a root problem for n = f(k) Returns ------- res : float The residual of the growth-rate equation...
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def cg_semirelaxed_fused_gromov_wasserstein(C1:th.Tensor, A1:th.Tensor, p:th.Tensor, C2:th.Tensor, A2:th.Tensor, ...
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def add_bounding_boxes(axis, bboxes): """ :param axis: axis to modify :param bboxes: bounding boxes to draw on the axis :return: None """ for bbox in bboxes: rect = patches.Rectangle((bbox[0], bbox[1]), bbox[2], bbox[3], l...
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def Vinv_terminal_time_series(m_t,Vdc_t): """Function to generate time series inverter terminal voltage.""" try: assert len(m_t) == len(Vdc_t) != None return m_t*(Vdc_t/2) except: LogUtil.exception_handler()
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def render(ob, ns): """Calls the object, possibly a document template, or just returns it if not callable. (From DT_Util.py) """ if hasattr(ob, '__render_with_namespace__'): ob = ZRPythonExpr.call_with_ns(ob.__render_with_namespace__, ns) else: # items might be acquisition wrapped ...
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def GetFlakeInformation(flake, max_occurrence_count, with_occurrences=True): """Gets information for a detected flakes. Gets occurrences of the flake and the attached monorail issue. Args: flake(Flake): Flake object for a flaky test. max_occurrence_count(int): Maximum number of occurrences to fetch. ...
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def get_prop_cycle(): """Get the prop cycle.""" prop_cycler = rcParams['axes.prop_cycle'] if prop_cycler is None and 'axes.color_cycle' in rcParams: clist = rcParams['axes.color_cycle'] prop_cycler = cycler('color', clist) return prop_cycler
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def binary_crossentropy(target, output, from_logits=False): """Binary crossentropy between an output tensor and a target tensor. Arguments: target: A tensor with the same shape as `output`. output: A tensor. from_logits: Whether `output` is expected to be a logits tensor. By default, we...
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def create_all_snapshots(volume_ids): """ Creates the snapshots of all volumes in the provided list. Params: volume_ids (list): List of volumes attached to the instance Returns: None """ for i in volume_ids: snapshot(i) return True
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def GenerateSSHConfig(vms): """Generates an SSH config file to simplify connecting to "vms". Writes a file to GetTempDir()/ssh_config with SSH configuration for each VM in 'vms'. Users can then SSH with 'ssh -F <ssh_config_path> <vm_name>'. Args: vms: List of virtual machines. """ target_file = os.pa...
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def repopulate(particles,celllist): """Make new list of the nearest neighbors.""" for p in particles: celllist[p] = [] for p2 in particles: if p != p2 and np.linalg.norm(odleglosc(p.r - p2.r)) < 3.5: celllist[p].append(p2)
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def stack_subsample_frames(x, stacking=1, subsampling=1): """ Stacks frames together across feature dim, and then subsamples x.shape: FEAT, TIME output FEAT * stacking, TIME / subsampling """ # x.shape: FEAT, TIME seq = [] x_len = tf.shape(x)[1] for n in range(0, stacking): tm...
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def compute_TVL1(prev, curr, TVL1, bound=20): """ Args: prev (numpy.ndarray): a previous video frame, dimension is `height` x `width`. curr (numpy.ndarray): a current video frame, dimension is `height` x `width`. bound (int): specify the maximum and minimux of op...
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def main() -> None: """Check the guard records.""" test_answer = 240 # Guard #10 * common minute 24 file = config.TestFile(test_answer, sort=True) test = determine_sleepiest_guard(file.contents) file.test(test) file = config.File(sort=True) file.write_to_file() result = determine_sleepi...
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def show(): """Show the window.""" qapp = QtWidgets.QApplication(sys.argv) toolbar = Toolbar() toolbar.show() qapp.setStyle(QtWidgets.QStyleFactory.create("Fusion")) sys.exit(qapp.exec_())
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def _fetch_all_namespace_permissions(cursor): """ Fetches all user-namespace-permissions mapping registered with Herd :param: cursor to run hive queries :return: list of all users that have READ on each respective namespace """ namespaces = _fetch_all_namespaces() user_namespace_permissions...
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def for_in_right(obj, callback=None): """This function is like :func:`for_in` except it iterates over the properties in reverse order. Args: obj (list|dict): Object to process. callback (mixed): Callback applied per iteration. Returns: list|dict: `obj`. Example: >...
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def test_equal(mongo_client): """Should compare the equality of two Frame instances by Id""" # Create some dragons burt = Dragon( name='Burt', breed='Cold-drake' ) burt.insert() fred = Dragon( name='Fred', breed='Fire-drake' ) fred.insert() ...
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def evaluate_on_real(model_name: str): """Evaluates a model on real scanned music pages""" from app.Network import Network network = Network.load(model_name) print("\n") total_metric_aggregate = _initialize_metrics_aggregate() for file, staves in REAL_RAW_ANNOTATIONS.items(): print("\...
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def metadata_fake(batch_size): """Make a xr dataset""" # get random OSGB center in the UK lat = np.random.uniform(51, 55, batch_size) lon = np.random.uniform(-2.5, 1, batch_size) x_centers_osgb, y_centers_osgb = lat_lon_to_osgb(lat=lat, lon=lon) # get random times t0_datetimes_utc = make_t...
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def delete_document(ix: str, docid: str): """ delete a document PUT request body should be a json {field: value} mapping of fields to update """ check_role(Role.WRITER, _index(ix)) try: elastic.delete_document(ix, docid) except elasticsearch.exceptions.NotFoundError: abort(4...
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def sentence_segment(doc, candidate_pos): """Store those words only in cadidate_pos""" sentences = [] for sent in doc.sents: selected_words = [] for token in sent: # Store words only with cadidate POS tag if token.pos_ in candidate_pos and token.is_stop is False and l...
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def get_speckle_spatial_freq(image, pos, cx, cy, lambdaoverd, angle=None): """ returns the spatial frequency of the speckle defined in the area of aperture mask """ """ lambdaoverd = nb of pixels per lambda/D """ nx, ny =image.shape[0], image.shape[1] k_xy = (np.roll(pos,1,axis=0)-[cx,cy])/lambdaoverd ...
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def verify_ping( device, address, loss_rate=0, count=None, max_time=30, check_interval=10): """ Verify ping loss rate on ip address provided Args: device ('obj'): Device object address ('str'): Address value loss_rate ('int...
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def add_server_arguments(parser): """Add the --bind option to an argparse parser""" def hostportsplit_helper(arg): """Wrapper around hostportsplit that gives better error messages than 'invalid hostportsplit value'""" try: return hostportsplit(arg) except ValueError...
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async def test_sensor_events(): """Test event_handler works.""" session = DeconzSession(AsyncMock(), HOST, PORT, API_KEY, add_device=Mock()) # Add sensor session.event_handler( { "e": "added", "id": "1", "r": "sensors", "sensor": { ...
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def get_default(key): """ get the default value for the specified key """ func = registry.defaults.get(key) return func()
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def log_compute_hindcast_header(metric, comparison, dim, alignment): """Add header to the log for a `compute_hindcast` instance.""" logging.info( f'`compute_hindcast` for metric "{metric.name}", ' f'comparison "{comparison.name}", dim "{dim}", and alignment "{alignment}" at ' f"{str(date...
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def antisymmetric(r: Relation) -> (bool, List): """Kiểm tra tính phản xứng của r""" antisymmetric_tuple = [] for x, y in r: if x == y: continue if (y, x) in r: return False, [((x, y), (y, x))] antisymmetric_tuple.append(((x, y), (y, x))) return True, antis...
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def docstring_func_parameters(arg1, arg2): """Test parameters docstring. :param arg1: first argument :param arg2: second argument """ pass
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def status(job_id: str): """ Start the service. """ from job_api.jobapi import JobApi api = JobApi() pprint(api.status(job_id))
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def calc_negative_predictive_value(cause, actual, predicted): """Calculate negative predictive value (NPV) for a single cause Negative predictive value is the number of prediction correctly determined to not belong to the given cause over the total number of predicted to not be the cause: .. math:...
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def print_atom_swap(swap): """Return atom swap string for DL CONTROL""" return "{} {}".format(swap["id1"], swap["id2"])
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def set_alarm_time(month, day, year, hour, minute, second): """Set the desired alarm event time""" rtc_set_alarm(month, day, year, hour, minute, second)
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def export_onnx_model(model, inputs): """ Trace and export a model to onnx format. Args: model (nn.Module): inputs (torch.Tensor): the model will be called by `model(*inputs)` Returns: an onnx model """ assert isinstance(model, torch.nn.Module) # make sure all module...
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def dot_product_area_attention(q, k, v, bias, dropout_rate=0.0, image_shapes=None, name=None, attention...
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def update_docs(cfid, docs) -> bool: """Updates the documentation of an already existing model The update_docs function can be used to upload the documentation of an already existing model by simply providing the cfid and the new docs object. Args: cfid: a string with a valid computeFunction I...
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def test_ssd_mean_pos(): """ Compare to online calculators the result of Sample Size Determination for proportions. Due to approximations, the test passes if sample_size belongs to the right neighbourhood of the result given by the online calculator; in other words the test passes if sample_size is in r...
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