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def get_app_details() -> pd.DataFrame: """Loads a table with app information: # load app details # Note that... # 1. only apps of interest are retained # 2. the cluster for each app is added # 3. `score` and `minInstalls` are converted to float and int, respetively # 4. `score` is rounded t...
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def certify(name, cert_path: Path, token_with_cert, ca_path: Path): """Create an envoy workspace.""" os.makedirs(cert_path, exist_ok=True) token, root_certificate = token_with_cert.split(TOKEN_DELIMITER) token = base64.b64decode(token).decode('utf-8') root_certificate = base64.b64decode(root_certif...
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def update_fw_nat_rule(fw_ip, elb_ip): """ Call our trivial playbook in order to upgrade firewall rules :param fw_ip: :param elb_ip: :return bool, String success state and the corresponding message: """ if CFG.DEBUG: return True, 'DUMMY Works!' extra_vars = { 'host': fw...
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def image_reproject_to_healpix_to_file(array, target_image_hdu_header, coordsys='galactic', filepath=None): """reproject image array to healpix image and write file :param array: image data :param target_image_hdu_header: the HDU object of :param coordsys: target coordi...
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def get_warnings(env=None): """ Returns list of warning flags by using diagtool. """ diagtool_bin = get_diagtool_bin() if not diagtool_bin: return [] try: result = subprocess.check_output( [diagtool_bin, 'tree'], env=env, universal_newlines=T...
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def list_objects(kind): """ Endpoint to fetch all objects of given type from MS graph API :request_argument since - delta token returned from last request (if exist) :return: JSON array with fetched groups """ if r.args.get('auth') and r.args.get('auth') == 'user': init_dao_on_behalf_on(...
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def test_ls_exclude(exclude, exp, populated_tmp_dir): """Test `ls` function with an exclusion of some directories""" df = ls(populated_tmp_dir, exclude=exclude) assert sorted(df["Name"]) == sorted(exp)
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def init_logger(console: Console): """Initialize logger. Args: console (Console): Console object. """ level = os.getenv('LOG_LEVEL', 'INFO') logging.basicConfig( level=logging.getLevelName(level), format='%(message)s', datefmt='[%X]', handlers=[RichHandler()...
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def test_can_generate(app, images_meta1, images_meta2, docx_meta): """Test metada with image files.""" assert can_generate(images_meta1) is True assert can_generate(images_meta2) is True assert can_generate(docx_meta) is False
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def test_one_led() -> None: """Test that we can only control LED 0.""" backend = SBArduinoConsoleBackend("test") with pytest.raises(ValueError): backend.set_led_state(1, False) with pytest.raises(ValueError): backend.get_led_state(1)
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def test_add_vertex_weak(graph): """Tests adding a weak vertex to the graph.""" graph["test.void"] = ComparisonGraph.Vertex( ("test", "test.void"), Result.Kind.EQUAL, dup("app/main.c"), (81, 82) ) assert "test.void" in graph.vertices assert graph["test.void"].names == ("test", "test.void") ...
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def dataset_donwload(url, path_target): """Donwload on disk the tar.gz file Args: url: path_target: Returns: """ import wget log(f"Donwloading mnist dataset in {path_target}") os.makedirs(path_target, exist_ok=True) wget.download(url, path_target) tar_name = url.spli...
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def get_client(): """Utility function to retrieve an authenticated client object""" try: client = ContainerPlatformClient.create_from_config_file( config_file=HPECP_CONFIG_FILE, profile=PROFILE ) client.create_session() return client except APIException as e: ...
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def run_menu(file_path, sim_names, sim_var, loop_names, loop_var): """ Prints out an interactable menu allowing user to assign values and run the simulation Parameters: (I) file_path: path to the hologram file (I) sim_names: names of the simulation parameters ...
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def resolve_presets(annotations): """Resolve annotation presets into actual annotations.""" result = [] for annotation in annotations: if annotation in presets: result.extend(resolve_presets(presets[annotation])) else: result.append(annotation) return result
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def test_init_config_class(tmpdir): """Test the init and save methods when specifying `flow` as a class""" from nessai.flows import RealNVP output = str(tmpdir.mkdir('no_config')) config = dict(model_config=dict(flow=RealNVP)) fm = FlowModel(config=config, output=output) assert fm.model_config[...
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def trace(fout=None, format=None, byteorder=sys.byteorder, nanosecond=False): # pylint: disable=redefined-builtin """Trace TCP flows. Arguments: fout (str): output path format (Optional[str]): output format byteorder (str): output file byte order nanosecond (bool): output nanos...
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def elementwise_grad(fun, argnum=0): """Like `jacobian`, but produces a function which computes just the diagonal of the Jacobian, and does the computation in one pass rather than in a loop. Note: this is only valid if the Jacobian is diagonal. Only arrays are currently supported. Can be used for broadc...
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def _max(comparer: Optional[Comparer] = None) -> Callable[[Observable], Observable]: """Returns the maximum value in an observable sequence according to the specified comparer. Examples: >>> op = max() >>> op = max(lambda x, y: x.value - y.value) Args: comparer: [Optional] Com...
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def tokens_ngram_processor(tokens, ngram_len): """ Given a `tokens` sequence or iterable of Tokens, return an iterator of tuples of Tokens where the tuples length is length `ngram_len`. Buffers at most `ngram_len` iterable items. The returned tuples contains either `ngram_len` items or less for thes...
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def assign_column_names_types(df: pd, metadata: dict = None) -> pd: """ Change column names to the names defined in metadata->data_descriptor block Args: df (pandas): pandas dataframe metadata (dict): metadata of the data Returns: pandas dataframe """ metadata_columns =...
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def run_app(): """Main function to run task manager database program""" option_chosen = main_choice() clear_screen() # if user selects option one to add a new task to the database if option_chosen == 1: option_one() run_app() # calls functions to search records in the database ...
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def batch_for_variantcall(samples): """Prepare a set of samples for parallel variant calling. CWL input target that groups samples into batches and variant callers for parallel processing. If doing joint calling, with `tools_on: [gvcf]`, split the sample into individuals instead of combining into ...
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def publish_runs(ctx, args): """Publish one or more runs. By default, runs are published to 'published-runs' subdirectory. To specify a different location, use `--dest`. A published run is a subdirectory of destination `DIR` that contains run-specific files: - `run.yml` - run information (e.g...
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def transform_grams(references, sentence, n): """ transforms all references and sentence according n-gram :param references: list of reference translations :param sentence: list containing the model proposed sentence :param n: size of the n-gram to use for evaluation :return: new_ref, new_senten...
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def curve(love): """ draws the love sign on the table :param love: a Turtle object :return: None (void function) """ love.hideturtle() love.begin_fill() love.setpos(0, 10) for i in range(50): # Setting up a loop love.right(1) love.forward(1) lo...
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def geomag2geog(phi, theta) -> tuple: """convert from geomagnetic to geographic Parameters ---------- phi: float or ndarray geomagnetic longitude in radians theta: float or ndarray geomagnetic latitude in radians Results ------- glon: float or ndarray geograph...
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def poly_coeff(points): """ # 1. calc s=Q(t) for given 4 control points in 3rd order Bezier curve. Calc (s,t) pair for 1000 t values. # 2. polynormial fit (t,s) pairs to get t = L(s) coeff # 3. return poly fit coeff, s = Q(t=1) """ xpoints = [p[0] for p in points] ypoints = [p[1] for p i...
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def prepare_attention_input(encoder_activations: fastmath_numpy.array, decoder_activations: fastmath_numpy.array, inputs: fastmath_numpy.array) -> tuple: """Prepare queries, keys, values and mask for attention. Args: encoder_activations fastnp...
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def setup_amqp_req(amqp): """Use the amqp interface to request access to the amqp broker using our local configuration. """ amqp.request_access(username='aodh', vhost='openstack') aodh.assess_status()
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def TStrUtil_GetCleanWrdStr(*args): """ TStrUtil_GetCleanWrdStr(TChA ChA) -> TChA Parameters: ChA: TChA const & """ return _snap.TStrUtil_GetCleanWrdStr(*args)
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def train(cfg: TrainConfig) -> None: """train classifer. Args: cfg (TrainConfig): Configs whose type is checked by schema. """ # Make config read only. # without this, config values might be changed accidentally. OmegaConf.set_readonly(cfg, True) # type: ignore logger.info(OmegaConf...
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def copy_project(project_name: str) -> Iterator[Path]: """Copy a project with name project_name from the assets directory to a temp directory. This function returns a ContextManager, so it should be used in a `with` statement, and when it goes out of scope it will delete the temporary directory. Retur...
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def unregisterExtModuleTopLevel(name, URI): """Unregisters an extension module top-level element""" ret = libxsltmod.xsltUnregisterExtModuleTopLevel(name, URI) return ret
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async def test_get_run_command_missing_command( decoy: Decoy, engine_store: EngineStore, ) -> None: """It should 404 if you attempt to get a non-existent command.""" key_error = pe_errors.CommandDoesNotExistError("oh no") run = Run( id="run-id", protocolId=None, createdAt=da...
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def _convert_to_utc(date_string): """ (private method) Expected input: YYYY-MM-DD-HH:MM:SS. Conversion of standard date format to UTC. :param date_string: string of date in format: YYYY-MM-DD-HH:MM:SS :type date_string: string """ big_time_tmp = date_string.split("-") year = int(big_time_tmp...
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def test_filter_barrier_plans_location(location, location_query, expected): """ Ensure that filtering with location is working correctly. """ api_client = get_api_client() barrier_plan = get_barrier_plan(location) response = api_client.get( reverse("v1:barrierplan-list"), {"location": l...
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def init(): """Glut init function.""" glClearColor(0, 0, 0, 0) glEnable(GL_DEPTH_TEST) glShadeModel(GL_SMOOTH) glEnable(GL_LIGHTING) glEnable(GL_LIGHT0) glLightModeli(GL_LIGHT_MODEL_TWO_SIDE, 0) glLightfv(GL_LIGHT0, GL_POSITION, [2, 0, 10, 1]) lA = 0.8 glLightfv(GL_LIGHT0, GL_AMB...
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def FGP_Module(V, W, check=True): """ INPUT: - ``V`` -- a free R-module - ``W`` -- a free R-submodule of ``V`` - ``check`` -- bool (default: ``True``); if ``True``, more checks on correctness are performed; in particular, we check the data types of ``V`` and ``W``, and that ``W`` is a...
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def run(leave_running_atexit=False): """Ensure an API server is running, and ARVADOS_API_* env vars have admin credentials for it. If ARVADOS_TEST_API_HOST is set, a parent process has started a test server for us to use: we just need to reset() it using the admin token fixture. If a previous ...
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def fromMorse(message: str) -> str: """decodes morse code into a message""" morseToChar = {v: k for k,v in charToMorse.items()} morseToChar['/'] = ' ' res = '' for c in message.split(): res += morseToChar.get(c,'_') if res[-1] == '_': print("# Warning: {} not correct...
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def ensure_column_exists(df, col_name, col_alt = False, raise_error = True): """Checks if a particular name is among the column names of a dataframe. Alternative names can be given, which when found will be changed to the desired name. The DataFrame will be changed in place. If no matching name is found an ...
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def _wait_for_ifc_up(ifname, timespan=10): """ Waits up to timespan seconds for the specified interface to be up. Prints a message if the interface is not up in 2 seconds. Args: ifname (str) : Name of the interface timespan (int) : length of time to wait in seconds Returns: True ...
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def search_by_keyword(keyword="", uuid=""): """ Uses the `/search` endpoint. takes a user uuid and a keyword. If you specify no `uuid`, the search will not show private streams? If the keyword is empty, it will return all the streams from the app. e.g. uuid="e9c3d27e-406b-4f4a-9b87-6d3460c60ca6...
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def getArguments(): """ Get argumments from command-line If pass only dataframe path, pop and gen will be default """ dfPath = sys.argv[1] if(len(sys.argv) == 4): pop = int(sys.argv[2]) gen = int(sys.argv[3]) else: pop = 10 gen = 2 return dfPath, pop, gen
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def plot_sigma_report( ds, temp_label, temp_var_acc_label, temp_var_prec_label=None, itimes=None): """ Returns two sub-plots. first a temperature with confidence boundaries. Parameters ---------- ds temp_label temp_var_label itimes """ time...
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def test_torsiondrive_procedure(storage_socket, session): """ Torsiondrive procedure """ assert session.query(TorsionDriveProcedureORM).count() == 0 # assert Keywords.objects().count() == 0 # molecules = MoleculeORM.objects(molecular_formula='H4O2') # assert molecules.count() == 2 ...
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def get_feedback(post_id): """ Get the list of feedback on post. """ # Returns: [(uid, feedback)] route = '{}/api/v2.0/feedbacks/post/' +\ '{}?key={}&filter=JJLFGJOFIOMFLGHJLHNIFMGJILKJKHOLMHIFGGOLFNIHF' response = requests.get(route.format(ms_config["ms_host"], post_id, ms_config["api_key"...
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def load_state_dict(model, fname): """ Set parameters converted from Caffe models authors of VGGFace2 provide. See https://www.robots.ox.ac.uk/~vgg/data/vgg_face2/. Arguments: model: model fname: file name of parameters converted from a Caffe model, assuming the file format is Pickle. ...
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def projected_co(verts, matrix): """ converts coordinates of points from OCS to WCS->ScreenCS needs matrix: a projection matrix needs verts: a list of vectors[x,y,z] returns a list of [x,y,z] """ #print 'deb:projected_co() verts=', verts #--------- temp_verts = [Mathutils.Vector(v)*matrix for v in verts] #prin...
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def cost2_sabx(p,x,y): """ Sum of squared deviations of obs and square root of general 1/x function: sqrt(a + b/x) Parameters ---------- p : iterable of floats parameters (`len(p)=2`) `p[0]` a `p[1]` b x : float or array_like of floats independent variable ...
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def set_matrix_world(obj, matrix_world): """ Seems only set pose by obj.location and obj.rotation_euler """ if len(matrix_world) == 3: matrix_world = homo_coord(matrix_world) obj.location, quaternion, obj.scale = mathutils.Matrix(matrix_world).decompose() obj.rotation_euler = quaternion...
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def createsuperuser(): """ Creates new superuser in Django. """ require('hosts') require('code_dir') management_cmd('createsuperuser')
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def build_img_fda_head(cfg, input_shape): """ Build a image-level feature distribution alignment head defined by `cfg.MODEL.IMG_FDA_HEAD.NAME`. """ head_name = cfg.MODEL.IMG_FDA_HEAD.NAME return IMG_FDA_HEAD_REGISTRY.get(head_name)(cfg, input_shape)
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def status(jobid, results_dir_path=None, extract=False, silent=False, host="http://www.compbio.dundee.ac.uk/jpred4/cgi-bin/rest", jpred4="http://www.compbio.dundee.ac.uk/jpred4"): """Check status of the submitted job. :param str jobid: Job id. :param str results_dir_path: Directory pa...
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def underline_filter(text): """Jinja2 filter adding =-underline to row of text >>> underline_filter("headline") "headline\\n========" """ return text + "\n" + "=" * len(text)
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def select_training_set_labels_from_database( label_columns, filter_args=None, filter_func=None, limit=None, **kwargs ): """ Construct a set of training labels from a query to the SDSS-V database. :param label_columns: A tuple of database column...
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def pa_to_mbar(x): """Pa to mbar. Parameters ---------- x : float or array of floats Air pressure (in Pa) Returns ------- output : float or array of floats Air pressure (in mbar) """ return x / 100.
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def myLogger(Folder, LogFileName): """ Since logging in a loop does always write to the first instaniated file, we make a little wrapper around the logger function to write to a defined log file. Based on http://stackoverflow.com/a/2754216/323100 """ import logging import os logger ...
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def vicare_login(hass, entry_data): """Login via PyVicare API.""" vicare_api = PyViCare() vicare_api.setCacheDuration(entry_data[CONF_SCAN_INTERVAL]) vicare_api.initWithCredentials( entry_data[CONF_USERNAME], entry_data[CONF_PASSWORD], entry_data[CONF_CLIENT_ID], hass.con...
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def test_unused_variable_tuple_definition( assert_errors, parse_ast_tree, context, indentation, bad_name, forbidden_tuple_unused_template, default_options, ): """Testing that any variable cannot be used if it is marked as unused.""" tree = parse_ast_tree( context.format( ...
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def test_random_uniform(): """Random uniform initializer test """ tf.reset_default_graph() tf.random.set_random_seed(0) runiform_class = INITIALIZER_REGISTRY['uniform'] runiform_obj = runiform_class({"low":0.1, "high":0.4}) tf_init = runiform_obj.get_tf_initializer() var1 = tf.get_variab...
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def markup(pre, string): """ By Adam O'Hern for Mechanical Color Returns a formatting string for modo treeview objects. Requires a prefix (usually "c" or "f" for colors and fonts respectively), followed by a string. Colors are done with "\03(c:color)", where "color" is a string represe...
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def no_translate_logs(logical_line, filename): """Check for 'LOG.*(_(' Starting with the Pike series, OpenStack no longer supports log translation. We shouldn't translate logs. - This check assumes that 'LOG' is a logger. - Use filename so we can start enforcing this in specific folders inst...
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def get_height(tracker: TrackerComponent): """Returns the height of the tracker, assuming relative to the floor.""" if tracker.is_hardware: torso_state = tracker.get_state('torso') return torso_state.pos[2] return 0
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def compute_pairs(a: Array, op: Callable[[Array, Array], Array]) -> Array: """Computes pairs based on values of `a` and the given pairwise `op`. Args: a: The array used to form pairs. The last axis is used to form pairs. op: The binary op to map a pair of values to a single value. Returns: A new arr...
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def polyfit(dates, levels, p): """given the water level time history (dates, levels) for a station computes a least-squares fit of a polynomial of degree p to water level data. return a tuple of the polynomial object and any shift of the time (date) axis""" days = matplotlib.dates.date2num(dates) if d...
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def _release_chain_resources(chain: Chain): """ Remove all 'heavy' parts from the chain :param chain: fitted chain :return: chain without fitted models and data """ chain.unfit() gc.collect() return chain
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def load_x(x): """Load the x coordinate of public key in dmem at appropriate location according to calling conventions""" dmem[pX] = x
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def ricker_wavelet(v, sigma): """ Returns the ricker wavelet, or mexican hat wavelet, like this: https://en.wikipedia.org/wiki/Mexican_hat_wavelet """ sigma_cast = tf.cast(sigma, tf.float32) sigmasquared = tf.pow(sigma_cast, 2.0) f = 3.0 * np.power(np.pi, 0.25) p1 = 2.0 / (tf.sqrt(sigma_cas...
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def solve_efield_from_potential_periodic(phi_N, delta_x_N): """Given potential field, solves for e-field in 1D""" # Perform calculation E_N = -(np.roll(phi_N, -1) - np.roll(phi_N, 1))/(2*delta_x_N) # Return E-field return(E_N)
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def add_header16(header_type_name, field_dec): """ This method returns a header definition with its fields description :param header_type_name: the type name of the header :type header_type_name: str :param field_dec: the field description of the header :type field_dec: str :returns: str -...
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async def on_guild_channel_create(channel: discord.TextChannel): """ Update the changelog with created channels. """ if isinstance(channel, discord.abc.PrivateChannel): return changelog_channel = get_changelog_channel(channel.guild) if not changelog_channel: return # Differ between...
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def response2dict(response): """ This converts the response from urllib2's call into a dict :param response: :return: """ split_newlines = response.split('\r\n') split_tabs = [s.split('\t') for s in split_newlines if s !=''] return split_tabs
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def test_export_burst_folder_album(): """test non-selected burst photos are exported with the album their key photo is in, issue #401""" import glob import os import os.path import pathlib from osxphotos.cli import export runner = CliRunner() cwd = os.getcwd() # pylint: disable=not...
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def handle_new_conn(sock, fd_to_socket, poller): """Handles a new connection to the server. Accepts the socket sonnection and registers the socket with the poller appropriately. Arguments: sock (:obj: `socket`) socket object associated with the server socket fd_to_socket (:obj: `dict`)...
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def data_context_topology_context_topologyuuid_nodenode_uuid_node_rule_groupnode_rule_group_uuid_available_capacity_bandwidth_profile_get(uuid, node_uuid, node_rule_group_uuid): # noqa: E501 """data_context_topology_context_topologyuuid_nodenode_uuid_node_rule_groupnode_rule_group_uuid_available_capacity_bandwidth...
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def _enforce_names_consistency(specs): """Enforces that either all specs have names or none do.""" def _has_name(spec): return hasattr(spec, 'name') and spec.name is not None def _clear_name(spec): spec = copy.deepcopy(spec) if hasattr(spec, 'name'): spec._name = None # pylint:disable=protect...
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def get_job_status(ibs, jobid): """ Web call that returns the status of a job CommandLine: # Run Everything together python -m ibeis.web.job_engine --exec-get_job_status # Start job queue in its own process python -m ibeis.web.job_engine test_job_engine --bg # Start...
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def plot(set_num, ref, test, diff, metrics_dict, parameter): """Based on set_num and parameter.backend, call the correct plotting function.""" if hasattr(parameter, 'plot'): parameter.plot(ref, test, diff, metrics_dict, parameter) else: if parameter.backend not in ['vcs', 'cartopy', 'mpl...
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def wedschedule(): """Wednesday Schedule""" now = wait(datetime.now(), 9, 45) if now >= now.replace(hour=9, minute=45) and now < now.replace(hour=11, minute=45): start_session(ap, now.replace(hour=11, minute=45)) now = wait(datetime.now(), 11, 45) if now >= now.replace(hour=11, minute=4...
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def int2D(igrad_x, igrad_y, idx, idy, const_at_edge=False): """ Sparse matrix integration to solve grad(a) = b for a Requires integration constant (= reference value at position [1,1] = iconst) Assumes uniform spacing Based on: https://math.stackexchange.com/questions/1340719/numerically-find-a...
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def test_bad_X_y_inputation(nameTree, Tree, nameSet, dataXY): """Checks the reaction of the estimator with bad inputation of X and y Parameters ---------- nameTree : str Name of the tree estimator Tree : estimator estimator to check nameSet : str Name of the dataset ...
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def _gr0_sorted_ ( graph , reverse = False ) : """Make sorted graph >>> graph = ... >>> s = graph.sorted() """ oitems = ( i for i in graph.iteritems() ) sitems = sorted ( oitems , key = lambda s :s[1] , reverse = reverse ) new_graph = ROOT.TGraph ( len( graph ) ) c...
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def fake_io(write_func: Callable[[str], int]) -> Iterator[None]: """Run code with stdout and stderr replaced by FakeIOStreams. Args: write_func: The function to call when write is called. """ old_stdout = sys.stdout old_stderr = sys.stderr fake_stderr = FakeIOStream(write_func) fake...
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def create_big_number(title, large_number, render_func, pacing='--'): """ title = description of big number large_number = whatever number you want to highlight render_func = plotly rendering function like iplot """ pacing_font_color = utilities.warning_color_font(pacing) background_color = ...
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def test_list_enabled_plugins(): """ Test if it returns a list of plugins. """ mock_run = MagicMock( return_value={"retcode": 0, "stdout": "saltstack\nsalt\nother", "stderr": ""} ) mock_pkg = MagicMock(return_value="") with patch.dict( rabbitmq.__salt__, {"cmd.run_all": mock_...
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def affine_forward( backbone: tf.keras.Model, moving_image: tf.Tensor, fixed_image: tf.Tensor, moving_label: (tf.Tensor, None), moving_image_size: tuple, fixed_image_size: tuple, ): """ Perform the network forward pass. :param backbone: model architecture object, e.g. model.backbone...
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def compare_size_with_json(): """ Compares size between PROTO and JSON :return: """ with open('proto.txt', 'w') as the_file: json_str = json.dumps({"employee_id" : str(uuid.uuid4()), "name" : "Bob", "type" : "FULLTIME", "email" : "bob@company.com", "extension": 9090, "groups" : ["seattle","s...
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def im_click(im, color_mapper=None, plot_height=400, plot_width=None, length_units='pixels', interpixel_distance=1.0, x_range=None, y_range=None, no_ticks=False, x_axis_label=None, y_axis_label=None, title=None, flip=True): """ """ def display_event(div,...
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def compartment_list(conf: OCIConfig): """ list all compartments :param conf: OCIConfig object """ region_tree = {} for r in conf.region_subscriptions: conf.workon_region = r.region_name region_tree[r.region_name] = compartment_tree_build(conf) conf.compartments_tree = regio...
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def is_param_comment(token, next_token, comment_syntax): """ SQLエンジンのパラメータコメント判定 """ return get_comment_type(token, comment_syntax) == EngineComment.param \ and (is_literal(next_token) or is_wildcard(next_token) or is_parenthesis(next_token))
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def train(**kwargs): """ Train model Load the whole train data in memory for faster operations args: **kwargs (dict) keyword arguments that specify the model hyperparameters """ # Roll out the parameters img_dim = kwargs["img_dim"] patch_size = kwargs["patch_size"] image_data_form...
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def multi_ts_support(func): """ This decorator further adapts the metrics that took as input two univariate/multivariate `TimeSeries` instances, adding support for equally-sized sequences of `TimeSeries` instances. The decorator computes the pairwise metric for `TimeSeries` with the same indices, and re...
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def course_search_index_handler(request, course_key_string): """ The restful handler for course indexing. GET html: return status of indexing task json: return status of indexing task """ # Only global staff (PMs) are able to index courses if not GlobalStaff().has_user(request.us...
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def test_data_file_update_url_different_file_not_indexed( create_alias, create_index, get_index_uuid, get_index_hash, client, pg_driver, admin, submitter, cgci_blgsp, ): """ Test submitting the different data (with NO id provided) and updating the URL field. HOWEVER ...
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async def data(ctx: lightbulb.Context) -> None: """Load or read data from the node. If just `data` is ran, it will show the current data, but if `data <key> <value>` is ran, it will insert that data to the node and display it.""" node = await plugin.bot.d.lavalink.get_guild_node(ctx.guild_id) if n...
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def main(): """The Imperial March Sounds""" args = get_args() cluster_ids = set() #protein_ids = set() num_sequence = 0 count= 0 for line in args.cdhit: if line.startswith('>'): continue else: match = re.search(r'>(\d+)', line) id = match...
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def report_account_status(context): """报告账户持仓状态""" if context.now.isoweekday() > 5: return logger = context.logger latest_dt = context.now.strftime(dt_fmt) account = context.account(account_id=context.account_id) cash = account.cash positions = account.positions() logger.info("...
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def generate_demos(match="demo_"): """ Load the use case manager and run every function inside it which contains a match to the string given in the argument of this function. The function docstrings get rendered as a markdown page. If images are generated and saved as a result, those are added to t...
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