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def optimise_sdss_features(sdss, scaler_path): """ Apply the W14 reddening correction and compute key colours in the SDSS dataset. Parameters ---------- sdss : DataFrame The DataFrame containing photometric features. """ # compute the three sets of reddening correction ...
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def test_makecondenserloop(): """pytest for makecondenserloop""" tdata = ( ( "", "c_loop", ["sb0", ["sb1", "sb2", "sb3"], "sb4"], ["db0", ["db1", "db2", "db3"], "db4"], """BRANCH, sb0, 0.0, , Pipe:Adiabatic, sb0_pipe, c_loop Cond_Supply...
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def trailing_whitespace(text): """Gets trailing whitespace of text.""" trailing = "" while text and text[-1] in WHITESPACE_OR_NL_CHARS: trailing = text[-1] + trailing text = text[:-1] return trailing
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def rjust(a, width, fillchar=' '): """ Return an array with the elements of `a` right-justified in a string of length `width`. Calls `str.rjust` element-wise. Parameters ---------- a : array_like of str or unicode width : int The length of the resulting strings ...
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async def test_setup_import(opp: OpenPeerPower, router: Mock): """Test setup of integration from import.""" await async_setup_component(opp, "persistent_notification", {}) entry = MockConfigEntry( domain=DOMAIN, data={CONF_HOST: MOCK_HOST, CONF_PORT: MOCK_PORT}, unique_id=MOCK_HOST,...
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def form_image_helper(caption_list, dummy=True, image_suffix='.jpg'): """ :param caption_list: <class 'list'> :param dummy: <class 'bool'> :param image_suffix: <class 'str'> :return: <class 'dict'> [dict of dummy images for form submission in django unittest] """ try: res = {} ...
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def test_calculate_part_stress(): """calculate_part_stress() should return a the attributes dict updated with calculated values.""" ATTRIBUTES["subcategory_id"] = 1 _attributes = integratedcircuit.calculate_part_stress(**ATTRIBUTES) assert isinstance(_attributes, dict) assert _attributes["piL"]...
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def is_complex_converter(obj: Any) -> bool: """Check if the object is a complex converter.`""" return isinstance(obj, ComplexConverterABC) or inspect.isclass(obj) and issubclass(obj, ComplexConverterABC)
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def test_delete_unknown_secret( corev1_api_client_with_user_secrets, user_secrets, no_db_user ): """Test delete a non existing secret.""" with patch( "reana_commons.k8s.secrets." "current_k8s_corev1_api_client", corev1_api_client_with_user_secrets(user_secrets), ) as api_client: ...
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def find_pool_or_vip_by_name(full_list, queried_name, fuzzy_search): """Wrapper function for searching the pools or VIPs.""" logger.debug( "Performing search for %s in %s partition", queried_name, ARGS.partition, ) if fuzzy_search: matches = find_resource_by_fuzzysearch...
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def _get_spreadsheet_with_values(spreadsheet_id): """Gets all sheets and their cells.""" sheets = [] if not service: return sheets result = service.spreadsheets().get(spreadsheetId=spreadsheet_id, fields=FIELDS).execute() for sheet in result["sheets"]: if "merges" in sheet: ...
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def some_task(): """ Some task """ get_word_counts('python.txt') get_word_counts('go.txt') get_word_counts('erlang.txt') get_word_counts('javascript.txt') return "Task Done"
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def _accelerate(f, n_devices): """JIT-compiled version of `f` running on `n_devices`.""" if n_devices == 1: return fastmath.jit(f) return fastmath.pmap(f, axis_name='batch')
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def savemodel(model, epoch, trainloss, valloss, metric, optimizer, stopflag, name, scheduler, size): """Saves PyTorch model.""" torch.save({ 'model': model.state_dict(), 'epoch': epoch, 'trainloss': trainloss, 'valloss': valloss, 'metric': metric, 'optimizer': opt...
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def plot_ranks(data, rank_a, rank_b, label, hue=None, palette=None, order=None, ax=None, offset=5, xlim=(-0.5, 1.5), label_kws=None, legend_kws=None): ...
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def parse_shadowserver_time(time_string: Text) -> datetime.datetime: """Parse a date on the format '2018-10-17 20:36:23'""" try: return datetime.datetime.strptime(time_string[:19], '%Y-%m-%d %H:%M:%S') except: print(time_string) raise
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def sample_along_rays(rng, origins, directions, radii, num_samples, near, far, genspace_fn, ray_shape, single_jitter, ...
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def resize(img, size, interpolation=PIL.Image.BILINEAR): """Resize image to match the given shape. This method uses :mod:`cv2` or :mod:`PIL` for the backend. If :mod:`cv2` is installed, this function uses the implementation in :mod:`cv2`. This implementation is faster than the implementation in :mo...
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def build_punt(): """ Construye la ventana del registro del usuario""" easy = PA.dividir_puntajes("facil") medium = PA.dividir_puntajes("medio") hard = PA.dividir_puntajes("dificil") rows = len(max([easy, medium, hard], key=len)) def create_table(data, dif): return sg.Table( ...
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def true_fov(M, fov_e=50): """Calulates the True Field of View (FOV) of the telescope & eyepiece pair Args: fov_e (float): FOV of eyepiece; default 50 deg M (float): Magnification of Telescope Returns: float: True Field of View (deg) """ return fov_e/M
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def add_hooks(): """ Adds the endpoint hooks to the application object. """ # Accounts hooks APP.on_inserted_accounts += hooks.log_user_create # pylint: disable=E1101 APP.on_updated_accounts += hooks.log_user_modified # pylint: disable=E1101 APP.on_update_accounts += hooks.manage_user_upd...
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async def test_html_content_type_with_utf8_encoding(unused_tcp_port, postgres_db, database_name, async_finalizer): """Test whether API endpoints with a "text/html; charset=UTF-8" content-type work.""" configure(unused_tcp_port, database_name, postgres_db.port) html_content = "<html><body>test</body></html>...
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def _increment_inertia(centroid, reference_point, m, mass, cg, I): """helper method""" if m == 0.: return mass (x, y, z) = centroid - reference_point x2 = x * x y2 = y * y z2 = z * z I[0] += m * (y2 + z2) # Ixx I[1] += m * (x2 + z2) # Iyy I[2] += m * (x2 + y2) # Izz I[...
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def enqueue_ide_stop(*args): """Reap theia session kube resources""" rpc_enqueue(reap_theia_session_by_id, queue="theia", args=args)
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def token_addresses( request, token_amount, number_of_tokens, blockchain_services, cached_genesis, register_tokens): """ Fixture that yields `number_of_tokens` ERC20 token addresses, where the `token_amount` (per token) is distributed among the addresses behind `b...
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def threatExpertSearch(pyew): """ Search in Threat Expert for the behavior's report """ baseurl = "http://www.threatexpert.com/report.aspx?md5=" buf = pyew.getBuffer() url = baseurl + md5(buf).hexdigest() webbrowser.open(url)
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def get_event_stream(ApplicationId=None): """ Returns the event stream for an app. :example: response = client.get_event_stream( ApplicationId='string' ) :type ApplicationId: string :param ApplicationId: [REQUIRED] ApplicationId :rtype: dict :return: { ...
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def saturating_sigmoid(x): """Saturating sigmoid: 1.2 * sigmoid(x) - 0.1 cut to [0, 1].""" with tf.name_scope("saturating_sigmoid", [x]): y = tf.sigmoid(x) return tf.minimum(1.0, tf.maximum(0.0, 1.2 * y - 0.1))
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def simulate_strategy(game, strategies, init_states, func): """ Harvest an accurate average payoff with the two strategies, considering traversing all possible private cards dealt by nature game : the pyspiel game strategies : the index of player's strategy, a length two list ...
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def test_request_id(test_client, log_capture): """ check if /foo endpoint will log something with request-id """ resp = test_client.get("/foo") assert resp.json == {"bar": "BAR"} last_record = log_capture.records[-1] assert last_record.message == "some message logged in foo_endpoint" assert las...
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def init_questionnaire_db(): """Create a new questionnaire database.""" db = QuestionnaireDB() with current_app.open_resource('util/schema_questionnaire.sql') as f: db().executescript(f.read().decode('utf8'))
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async def is_nsfw_and_guild_predicate(ctx): """A predicate to test if a command was run in an NSFW channel and inside a guild :param ctx: The context of the predicate """ if not ctx.guild or not ctx.channel.is_nsfw(): raise NotNSFWOrGuild() return True
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def get_account(opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetAccountResult: """ Get information on your DigitalOcean account. ## Example Usage Get the account: ```python import pulumi import pulumi_digitalocean as digitalocean example = digitalocean.get_account() `...
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def get_partition_leaders(cluster_config): """Return the current leaders of all partitions. Partitions are returned as a "topic-partition" string. :param cluster_config: the cluster :type cluster_config: kafka_utils.utils.config.ClusterConfig :returns: leaders for partitions :rtype: map of ("to...
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def xyzToAtomsPositionsWrapper( xyzFileOrDir, outDir=None, outFileBaseName=None, fileExt=None, noOutFile=False): """ Wrapper for the xyzToAtomsPositions function. Returns atom positions (order) given a molecule9s) in an xyz format. The heavy atoms positions are b...
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def find_mod_names(file_path=__file__): """Find Ice module names that start with 'ice_test_'. The returned names are without the extension '.ice'. TODO: Needs to recurse in `test_` sub directories. """ directory = pathlib.Path(file_path).absolute().parent # pylint: disable=no-member return ...
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def WR(df, N=10, N1=6): """ 威廉指标 :param df: :param N: :param N1: :return: """ HIGH = df['high'] LOW = df['low'] CLOSE = df['close'] WR1 = 100 * (HHV(HIGH, N) - CLOSE) / (HHV(HIGH, N) - LLV(LOW, N)) WR2 = 100 * (HHV(HIGH, N1) - CLOSE) / (HHV(HIGH, N1) - LLV(LOW, N1)) ...
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def make_fn_type(params): """Turn type parameters into corresponding internal type system object. Returned object will represent the type of a function over the parameters. :param params: a list of type paramaters, e.g. from a type signature. These should be instances of TypeOperator or ...
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def export(request, wid): """Export the logs from the given workflow :param request: HTML request :param pk: pk of the workflow to export :return: Return a CSV download of the logs """ dataset = LogResource().export( Log.objects.filter(user=request.user, workflow__id=wid) ) # C...
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def record_params(setup_state): """ Copy config so we can easily work with it """ app = setup_state.app worker_router_bp.config = dict( [(key, value) for (key, value) in app.config.items()] )
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def _validate_valid_xml(value): """ Checks whether the given value is well-formed and valid XML. """ try: # Try to create an XML tree from the given String value. _value = XML_DECL.sub(u'', value) _ = etree.fromstring(_value.encode('utf-8')) return True ...
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def import_submodules(package, recursive=True): """Import all submodules of a module, recursively, including subpackages :param recursive: bool :param package: package (name or actual module) :type package: str | module :rtype: dict[str, types.ModuleType] """ if isinstance(package, str): ...
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def seasonal_pattern(season_time): """Just an arbitrary pattern, you can change it if you wish""" return np.where(season_time < 0.4, np.sin(season_time * 2), 1 / np.exp(3 * season_time))
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def prepare_files(): """ Put all the lemmata to lexemes.txt. Put all the lexical rules to lexical_rules.txt, if any. Create separate versions of relevant files for diacriticless texts. Put all grammar files to uniparser_turoyo/data_strict/ (original version) or uniparser_turoyo/data_nodiacritics...
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def dice(labels, predictions, axis, weights=1.0, scope=None, loss_collection=tf.GraphKeys.LOSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS): """Dice loss for binary segmentation. The Dice loss is one minus the Dice coefficient, and therefore this loss converges towards zero. The Dice loss between predict...
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def air_density(temp, patm, pw = 0): """ Calculates the density of dry air by means of the universal gas law as a function of air temperature and atmospheric pressure. m / V = [Pw / (Rv * T)] + [Pd / (Rd * T)] where: Pd: Patm - Pw Rw: specific gas constant for wate...
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def index(dataset: Dataset, min_df=5, inplace=False, **kwargs): """ Indexes the tokens of a textual :class:`quapy.data.base.Dataset` of string documents. To index a document means to replace each different token by a unique numerical index. Rare words (i.e., words occurring less than `min_df` times) are...
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def login_principal(principal): """Start an interaction with `principal`.""" request = zope.publisher.browser.TestRequest() request.setPrincipal(principal) zope.security.management.newInteraction(request)
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def PerpendicularFrameAt(thisCurve, t, multiple=False): """ Return a 3d frame at a parameter. This is slightly different than FrameAt in that the frame is computed in a way so there is minimal rotation from one frame to the next. Args: t (double): Evaluation parameter. Returns: ...
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def _attributes_cosmo2dict(cosmo): """ Converts CoSMoMVPA-like attributes to a dictionary form Parameters ---------- cosmo: dict Dictionary that may contains fields 'sa', 'fa', 'a'. For any of these fields the contents can be a dict, np.ndarray (object array as returned by l...
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def is_instrument_port(port_name): """test if a string can be a com of gpib port""" answer = False if isinstance(port_name, str): ports = ["COM", "com", "GPIB0::", "gpib0::"] for port in ports: if port in port_name: answer = not (port == port_name) return answ...
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def test_irreg_topo_new(dans_grid2): """Test D4 routing on a toy irregular topo. 'method' passed to init.""" fr = FlowAccumulator(dans_grid2.mg, flow_director="D4") fr.run_one_step() assert_array_equal(dans_grid2.A_target_D4, dans_grid2.mg.at_node["drainage_area"]) assert_array_equal( dans_g...
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def get_anvil_path(): """Gets the anvil/ path. Returns: The full path to the anvil/ source. """ return os.path.normpath(os.path.dirname(__file__))
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def share_data(value): """ Take a value and use the same value from the store, if the value isn't in the store this one becomes the shared version. """ # We don't want to change the types of strings, between str <=> unicode # and hash('a') == hash(u'a') ... so use different stores. # In theory...
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def gaussian_dropout(incoming, keep_prob, mc, scale_during_training = True, name=None): """ Gaussian Dropout. Outputs the input element multiplied by a random variable sampled from a Gaussian distribution with mean 1 and either variance keep_prob*(1-keep_prob) (scale_during_training False) or (1-keep_prob)/keep...
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def checkTimeStamp(op, graph, frm, to): """ Confirm the timestamp formats within the metadata did not change. :param op: :param graph: :param frm: :param to: :return: """ edge = graph.get_edge(frm, to) pred = graph.predecessors(to) if pred<2: ffile = os.path.join(grap...
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def bottom_up_low_space(N,K,ts): """ Recursive algorithm. args: N :: int length of ts K :: int ts :: list of ints returns: res :: bool True :: if a subset of ts sums to K False :: otherwise subset :: list of tuples ...
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def sincpt(method, target, et, fixref, abcorr, obsrvr, dref, dvec): """ Given an observer and a direction vector defining a ray, compute the surface intercept of the ray on a target body at a specified epoch, optionally corrected for light time and stellar aberration. This routine supersedes :f...
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def create_user_upload_path_if_not_exists(upload_path, user_id): """ Generates the upload path according to the user_id :param upload_path: :param user_id: :return: nothing just creates the directory """ if not os.path.isdir(os.path.join(upload_path, str(user_id))): os.makedirs(os.pa...
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def test_dahlquist_constructor_mr(): """ Test constructor """ dahlquist = Dahlquist(t_start=0, t_stop=1, nt=11, method='MR') np.testing.assert_equal('MR', dahlquist.method)
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def crumb_link(src_crumb: hansel.Crumb, dst_crumb: hansel.Crumb, exist_ok: bool=False, verbose: bool=False): """Will link the content of `src_crumb` into `dst_crumb` folder. For this `src_crumb` and `dst_crumb` must have similar set of argument names. All the defined arguments of `src_crumb.ls()[0]` mus...
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def send_file(request, filepath_or_fp, mimetype=None, as_attachment=False, attachment_filename=None, add_etags=True, cache_timeout=60 * 60 * 12, conditional=False, use_x_sendfile=False, response_class=None): """Sends the contents of a file to the client. This will use the most efficient method ...
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def getInfo(ID): """ get info from file :param ID: meter ID :return: info = { "distance": 10, "horizontal": 10, "vertical": 20, "name": "1_1", "type": SF6, "template": "template.jpg", "ROI": { "x": 200, ...
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def DO_run(wb, args: Union[list, None] = None, external: bool = False) -> RET: """run shell_command lfn|alien: tagged lfns :: download lfn(s) as a temporary file and run shell command on the lfn(s)""" if args is None: args = [] if not args: return RET(1, '', 'No shell command specified') if is_help(args...
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def get_keychain_pass(account=None, server=None): """ Gets the password for a given account from Apple's keychain """ params = { 'user': os.environ['USER'], 'security': '/usr/bin/security', 'command': 'find-internet-password', 'account': account, 'server': ser...
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def make_train_valid(labels_dir:Path, train:float=.8, valid:float=.2, test:float=0): """ usage: make_train_valid(labels_dir:Path, train:float=.8, valid:float=.2, test:float=0) Make a train-valid directory and randomly copy files from labels_dir to sub- directories positional arguments:...
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def cast_tensor_by_spec(_input, spec): """ transform dtype & shape following spec """ try: import tensorflow as tf except ImportError: raise MissingDependencyException( "Tensorflow package is required to use TfSavedModelArtifact" ) if not _isinstance_wrapper(...
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def StopRequestHook(ref, args, request): """Declarative request hook for TPU Stop command.""" del ref del args stop_request = GetMessagesModule().StopNodeRequest() request.stopNodeRequest = stop_request return request
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def get_bucket( storage_bucket_name: str, **kwargs, ) -> Bucket: """Get a storage bucket.""" client = get_client() return client.get_bucket(storage_bucket_name, **kwargs)
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def furl_for(endpoint: str, filename: str=None, **kwargs: dict) -> str: """ Replacement for url_for. """ return URL() + (url_for(endpoint, filename=filename) if filename != None else ("/" if endpoint == "" else url_for(endpoint, **kwargs)))
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def image_max_value(img, region=None, scale=None): """Retrieves the maximum value of an image. Args: img (object): The image to calculate the maximum value. region (object, optional): The region over which to reduce data. Defaults to the footprint of the image's first band. scale (float...
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def getblock(lst, limit): """Return first limit entries from list lst and remove them from the list""" r = lst[-limit:] del lst[-limit:] return r
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def test_r53_policy_expected_aws_records(zone, boto_client): """ Tests a Policy builds the expected desired_records for the alias tree. """ policy = G(m.Policy, name='pol1') policy_record = G(m.PolicyRecord, zone=zone, name='www', policy=policy) ip1 = create_ip_with_healthcheck() G(m.Policy...
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def run_gateway(gateway): """Run a sync gateway.""" gateway.start_persistence() gateway.start() try: while True: time.sleep(0.5) except KeyboardInterrupt: gateway.stop()
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def electrode_neighborhoods(mea='hidens', neighborhood_radius=HIDENS_NEIGHBORHOOD_RADIUS, x=None, y=None): """ Calculate neighbor matrix from distances between electrodes. :param mea: (optional) type of the micro electrode array, default: 'hidens' :param neighborhood_radius:(optional) depends on mea typ...
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def lat_from_meta(meta): """ Obtains a latitude coordinates array from rasterio metadata. :param meta: dict rasterio metadata. :return: numpy array """ try: t, h = meta["transform"], meta["height"] except KeyError as e: raise e lat = np.arange(t[5], t[5] + (t[4] * h), t[4...
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def get_test_class(dbcase): """Return the implementation class of a TestCase, or None if not found. """ if dbcase.automated and dbcase.valid: impl = dbcase.testimplementation if impl: obj = module.get_object(impl) if type(obj) is type and issubclass(obj, core.Test): ...
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def calc_dp(t_c, rh): """Calculate the dew point in Celsius. Arguments: t_c - the temperature in °C. rh - the relative humidity as a percent, (0-100) Returns: The dew point in °C. """ sat_vp = vapor_pressure_liquid_water(t_c) vp = sat_vp * rh / 100.0 a = log(vp / 6....
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def getSlackMetar(input: flask.Request) -> Tuple[str, int, dict]: """ Endpoint handler for the slack_metar HTTP function trigger """ global _baseUrl global _logger _logger.debug("Entered metar") station = _getStationName(input) txt = _requestData('METAR', station) return (_buildSlac...
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def conv_block(input_tensor, kernel_size, filters, stage, block, strides=(2, 2)): """conv_block is the block that has a conv layer at shortcut # Arguments input_tensor: input tensor kernel_size: defualt 3, the kernel size of middle conv layer at main path filters: list of integers, the f...
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def _fake_before_lines(first_line: str) -> List[str]: """Construct the fake lines that should go before the text.""" fake_lines = [] indent_levels = _indent_levels(first_line) # Handle regular indent for i in range(indent_levels): prefix = SINGLE_INDENT * i fake_lines.append(f"{pre...
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def normal_logpdf(x, mu, cov): """ Multivariate normal logpdf, numpy native implementation :param x: :param mu: :param cov: :return: """ part1 = 1 / (((2 * np.pi) ** (len(mu) / 2)) * (np.linalg.det(cov) ** (1 / 2))) part2 = (-1 / 2) * ((x - mu).T.dot(np.linalg.inv(cov))).dot((x - mu)...
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def fork_workflow_step_context( workflow_id: Optional[str] = _sentinel, storage_url: Optional[str] = _sentinel, workflow_scope: Optional[List[str]] = _sentinel, outer_most_step_id: Optional[str] = _sentinel, last_step_of_workflow: Optional[bool] = _sentinel, checkpoint_context: CheckpointContext...
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def criteriarr(criteria): """Validate if the iterable only contains MIN (or any alias) and MAX (or any alias) values. And also always returns an ndarray representation of the iterable. Parameters ---------- criteria : Array-like Iterable containing all the values to be validated by the...
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def show_command( *, login_manager: LoginManager, index_id: uuid.UUID, subject: str ) -> None: """Show the data for a given subject in an index This is subject the visible_to access control list on the entries for that subject. If there are one or more entries visible to the current user, they will be ...
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def integer_or_rational(entropy, signed, min_abs=0): """Returns a rational, with 50% probability of it being an integer.""" if random.choice([False, True]): return integer(entropy, signed, min_abs=min_abs) else: return non_integer_rational(entropy, signed)
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def ignore_python_warnings(function): """ Decorator for ignoring *Python* warnings. Parameters ---------- function : object Function to decorate. Returns ------- object Examples -------- >>> @ignore_python_warnings ... def f(): ... warnings.warn('This i...
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def runMetrics( initWorkingSetName, stepName, requestInfo, jobId, outputFolder, referenceFolder, referencePrefix, dtmFile, dsmFile, clsFile, mtlFile, ): """ Run a Girder Worker job to compute metrics on output files. Requirements: - Danesfield Docker image is...
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def configure_logging(args): """Configures the default logger. This can be called only once and has to be called before any logging is done. """ logging.TIMING = logging.ERROR + 5 logging.addLevelName(logging.TIMING, 'TIMING') def timing(msg, *args, **kwargs): logging.log(logging.TIMING...
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def terminal_bg(): """Returns the first argument if the terminal has a light background, the second if it has a dark background, and the third if it cannot determine.""" colorfgbg = os.environ.get('COLORFGBG', '') if colorfgbg == '0;15': return BGColor.LIGHT if colorfgbg == '15;0': r...
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def mkdir_p(path): """ Equivalent of mkdir -p on the commandline; wrapper around os.makedirs @param path The path to create """ try: os.makedirs(path) except: pass
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def matplotlib_kwarg_dealiaser(args, kind): """De-aliase the kwargs passed to plots.""" if args is None: return {} matplotlib_kwarg_dealiaser_dict = { "scatter": mpl.collections.PathCollection, "plot": mpl.lines.Line2D, "hist": mpl.patches.Patch, "bar": mpl.patches.Re...
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def volume(): """ Get volume number :return: """ return Scheduler.ret_volume
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def grid_grad(input, grid, interpolation='linear', bound='zero', extrapolate=False): """Sample spatial gradients of an image with respect to a deformation field. Notes ----- {interpolation} {bound} Parameters ---------- input : ([batch], [channel], *inshape) tensor ...
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def delete_cart_item(quote_id, item_code): """Delete given item_codes from Quote if all deleted then delete Quote""" try: response = frappe._dict() item_code = item_code.encode('utf-8') item_list= [ i.strip() for i in item_code.split(",")] if not isinstance(item_code, list): item_code = [item_code] if n...
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def list_methods(f): """Return a list of the multimethods currently registered to `f`. The multimethods are returned in the order they would be tested by the dispatcher when the generic function is called. The return value is a list, where each item is `(callable, type_signature)`. Each type signa...
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def load_CIFAR10(file_dir): """ load all of cifar """ xs = [] ys = [] for filename in train_list: file_path = os.path.join(file_dir, filename) data, labels = load_CIFAR_batch(file_path) xs.append(data) ys.append(labels) x_train = np.concatenate(xs) y_train = np.co...
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def get_requirements(extra=None): """ Load the requirements for the given extra from the appropriate requirements-extra.txt, or the main requirements.txt if no extra is specified. """ filename = f"requirements-{extra}.txt" if extra else "requirements.txt" with open(filename) as fp: ...
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def add_account_details(config): """add account details to config""" # Get api client client = get_api_client() # Add accounts details payload = {"length": 250, "filter": "state==VERIFIED;type!=nutanix"} res, err = client.account.list(payload) if err: raise Exception("[{}] - {}".fo...
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def count_image_files(directory, montage_mode=False): """Counts all image files inside the directory. If montage_mode, counts 1 level deep and returns the minimum count. Else, counts all child images of directory. Args: directory (str): directory to look for child image files montage_mo...
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