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def fake_categorize_file(tmpdir_factory): """Creates a simple categorize for testing.""" file_name = tmpdir_factory.mktemp("data").join("categorize.nc") root_grp = netCDF4.Dataset(file_name, "w", format="NETCDF4_CLASSIC") n_points = 7 root_grp.createDimension('time', n_points) var = root_grp.cre...
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def safe_unsigned_div(a, b, eps=None): """Calculates a/b with b >= 0 safely. a: A `float` or a tensor of shape `[A1, ..., An]`, which is the nominator. b: A `float` or a tensor of shape `[A1, ..., An]`, which is the denominator. eps: A small `float`, to be added to the denominator. If left as `None`, it...
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def create_helm(ioc_dict: Dict, entity_yaml: str, path: Path): """ create a boilerplate helm chart with name str in folder path update the values.yml and Chart.yml by rendering their jinja templates and insert the boot script whose text is supplied in script_txt """ helm_folder = path / ioc_dic...
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def load_unpack_npz(path): """ Simple helper function to circumvent hardcoding of keyword arguments for NumPy zip loading and saving. This assumes that the first entry of the zipped array contains the keys (in-order) for the rest of the array. Parameters ---------- path : string P...
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def verify(message, expected, *args, **kwargs): """Verify target substitutions.""" actual = command_handler._inject( MessagePacket( *message if isinstance(message, list) else (message,)), *args, **kwargs ).text assert actual == expected
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def is_valid_email(email): """ Check if a string is a valid email. Returns a Boolean. """ try: return re.match(EMAIL_RE, email) is not None except TypeError: return False
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def test_field_upload_resp_fields(datapack_tar, svc_client_with_repo): """Check response fields.""" svc_client, headers, project_id, _ = svc_client_with_repo headers.pop("Content-Type") response = svc_client.post( "/cache.files_upload", data=dict(file=(io.BytesIO(datapack_tar.read_bytes...
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def _create_matcher(utterance): """Create a regex that matches the utterance.""" # Split utterance into parts that are type: NORMAL, GROUP or OPTIONAL # Pattern matches (GROUP|OPTIONAL): Change light to [the color] {name} parts = re.split(r'({\w+}|\[[\w\s]+\] *)', utterance) # Pattern to extract nam...
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def loadTrainingData(path_to_follow): """ It loads the images, assuming that these are in the /IMG/ subfolder. Also, the output is in the CSV file "steering.csv". :param path_to_follow: is the full path where the images are placed. :return: a list with (1) a numpy array with the...
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def configure_logging(log_level=None, log_file=None, simplified_console_logs=False): """ This should be called once as early as possible in app startup to configure logging handlers and formatting. :param log_level: The level at which to record log messages (DEBUG|INFO|NOTICE|WARNING|ERROR|CRITICAL) :t...
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def top_compartment_air_CO2(setpoints: Setpoints, states: States, weather: Weather): """ Equation 2.13 / 8.13 cap_CO2_Top * top_CO2 = mass_CO2_flux_AirTop - mass_CO2_flux_TopOut """ cap_CO2_Top = Coefficients.Construction.greenhouse_height - Coefficients.Construction.air_height # Note: line 46 / se...
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def test_zero_indexed(bucketer, df): """Test that bins are zero-indexed.""" BUCK = bucketer(n_bins=3) x_t = BUCK.fit_transform(df.drop(columns=["pet_ownership"])) assert x_t["MARRIAGE"].min() == 0 assert x_t["EDUCATION"].min() == 0 assert x_t["LIMIT_BAL"].min() == 0 assert x_t["BILL_AMT1"].m...
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def coning_sculling(gyro, accel, order=1): """Apply coning and sculling corrections to inertial readings. The algorithm assumes a polynomial model for the angular velocity and the specific force, fitting coefficients by considering previous time intervals. The algorithm for a linear approximation is we...
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def add(): """Add a task. :url: /add/ :returns: job """ job = scheduler.add_job( func=task2, trigger="interval", seconds=10, id="test job 2", name="test job 2", replace_existing=True, ) return "%s added!" % job.name
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def magnitude(x: float, y: float, z: float) -> float: """ Magnitude of x, y, z acceleration √(x²+y²+z²) Dispatch <float> Args: x (float): X-axis of acceleration y (float): Y-axis of acceleration z (float): Z-axis of acceleration Returns: float: Magnitude of acceleratio...
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def save_images(images: List[np.array], path: str, name: str ) -> None: """ This function takes an array of np.array images, an output path and an ID for the name generation and saves the images as png files ("$name_$index.png). Args: images (...
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def test_extract_phrase_returns_correctly(test_input_sentences, test_input_merge_inplace, test_expected): """Test that the extract_phrase method returns correctly.""" # Invoke the `extract_phrase` method of `ChunkParser` test_output = ChunkParser().extract_phrase(test_input_sentences, test_input_merge_inpl...
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def dauth( bot, input ): """Toggle whether channel should be auth enabled by default""" if not input.admin: return False if not input.origin[0] == ID.HON_SC_CHANNEL_MSG: bot.reply("Run me from channel intended for the default auth!") else: cname = bot.id2chan[input.origin[2]] ...
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def write_to_disk(func): """ decorator used to write the data into disk during each checkpoint to help us to resume the operation Args: func: Returns: """ def wrapper(*args, **kwargs): func(*args, **kwargs) with open("checkpoint.json", "r") as f: f.write(...
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def _get_partition(device, uuid): """Find the partition of a given device.""" LOG.debug("Find the partition %(uuid)s on device %(dev)s", {'dev': device, 'uuid': uuid}) try: _rescan_device(device) lsblk = utils.execute('lsblk', '-PbioKNAME,UUID,PARTUUID,TYPE', device) r...
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def get_hourly_total_exchange_volume_in_period_from_db_trades(tc_db, start_time, end_time): """ Get the exchange volume for this exchange in this period from our saved version of the trade history. """ # Watch this query for performance. results = tc_db.query( func.hour(EHTrade.time...
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def test_case_1(): """ If we add new choice, which changes the max length, we should have a migration, plus the column in postgres should be affected. """ print('Running test case 1') database = Database() setuper = Setuper(database, 'TEST_1') setuper.before_setup() assert databas...
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async def action(bot, msg): """**!dice** _dice_**d**_sides_[+|-_modifier_] Simulate a dice roll. _Dice_ is the number of dice to roll and _sides_ is the number of sides each die has. Optionally you can specify _modifier_, prefixed with + or -. `!dice 1d20+3` """ match = match_pattern.match(msg.clean_content...
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def descending(sorting_func: typing.Any) -> typing.Any: """ Modify a sorting function to sort in descending order. :param sorting_func: the original sorting function :return: the modified sorting function """ def modified_sorting_func(current_columns, original_columns, sorting_func=sorting_func...
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def circleColor(renderer, x, y, rad, color): """Draws an unfilled circle to the renderer with a given color. If the rendering color has any transparency, blending will be enabled. Args: renderer (:obj:`SDL_Renderer`): The renderer to draw on. x (int): The X coordinate of the center of the ...
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def _get_ref_init_error(dpde, error, **kwargs): """ Function that identifies where the continuous gyro begins, initiates and then carries the static errors during the continuous modes. """ temp = [0.0] for coeff, inc in zip(dpde[1:, 2], error.survey.inc_rad[1:]): if inc > kwargs['header'...
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def get_free_hugepages(socket=None): """Get the free hugepage totals on the system. :param socket: optional socket param to get free hugepages on a socket. To be passed a string. :returns: hugepage amount as int """ hugepage_free_re = re.compile(r'HugePages_Free:\s+(?P<free_hp>\d...
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def setup_logger( log_filename: Pathlike, log_level: str = "info", use_console: bool = True ) -> None: """Setup log level. Args: log_filename: The filename to save the log. log_level: The log level to use, e.g., "debug", "info", "warning", "error", "critical" """ ...
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def get_extrainfo_descriptors(start = None, end = None, cache_to = None, bridge = False, timeout = None, retries = 3): """ Shorthand for :func:`~stem.descriptor.collector.CollecTor.get_extrainfo_descriptors` on our singleton instance. """ for desc in get_instance().get_extrainfo_descriptors(start, end, cac...
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async def loop(reader: asyncio.StreamReader, writer: asyncio.StreamWriter, my_id: int): """The main event loop. Gets the current world and returns the decision made.""" data = await next_state(reader) while data["state"] == "playing": choice = decision(my_id, World(data["map"])) writer.write...
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def umount(path, bg=False): """Umount dfuse from a given path""" if bg: cmd = ['fusermount3', '-uz', path] else: cmd = ['fusermount3', '-u', path] ret = subprocess.run(cmd, check=False) print('rc from umount {}'.format(ret.returncode)) return ret.returncode
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def assert_allclose(actual: List[int], desired: numpy.ndarray): """ usage.scipy: 4 usage.statsmodels: 1 """ ...
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def parse_internal_ballot(line): """ Parse an internal ballot line (with or without a trailing newline). This function allows leading and trailing spaces. ValueError is raised if one of the values does not parse to an integer. An internal ballot line is a space-delimited string of integers of the...
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def get_fratio(*args): """ """ cmtr = get_cmtr(*args) cme = get_cme(*args) fratio = cmtr / cme return fratio
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def log_progress(is_first_update, total, current, message): """Log progress of the issues or PRs processing. Args: is_first_update (bool): This is the first update of this repo. total (int): Number of issues/PRs. current (int): Last processed issue/PR number. message (str): Stri...
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def _select_by_property(peak_properties, pmin, pmax): """ Evaluate where the generic property of peaks confirms to an interval. Parameters ---------- peak_properties : ndarray An array with properties for each peak. pmin : None or number or ndarray Lower interval boundary for `p...
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def from_period_type_name(period_type_name: str) -> PeriodType: """ Safely get Period Type from its name. :param period_type_name: Name of the period type. :return: Period type enum. """ period_type_values = [item.value for item in PeriodType] if period_type_name.lower() not in period_type_...
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def scale_down_all_workloads(wait_time: int): """Kill all workloads""" command = "kubectl scale sts --all --replicas=0 && sleep {wait_time}".format( wait_time=wait_time) default_shell_run(command)
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def randomInt(length=4, seed=None): """ Returns random integer value with provided number of digits >>> random.seed(0) >>> randomInt(6) 874254 """ if seed is not None: _ = getCurrentThreadData().random _.seed(seed) choice = _.choice else: choice = random...
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def matchatleastone(text, regexes): """Returns a list of strings that match at least one of the regexes.""" finalregex = "|".join(regexes) result = re.findall(finalregex, text) return result
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def safe_string_equals(a, b): """ Near-constant time string comparison. Used in order to avoid timing attacks on sensitive information such as secret keys during request verification (`rootLabs`_). .. _`rootLabs`: http://rdist.root.org/2010/01/07/timing-independent-array-comparison/ """ if le...
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def DFS_complete(g): """Perform DFS for entire graph and return forest as a dictionary. forest maps each vertex v to the edge that was used to discover it. (Vertices that are roots of a DFS tree are mapped to None.) :param g: a Graph class object :type g: Graph :return: A tuple of dicts summar...
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def get_keys(mapping, *keys): """Return the values corresponding to the given keys, in order.""" return (mapping[k] for k in keys)
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def test_initialize_physical_parameters(): """ Checks function SolveDiffusion2D.initialize_domain """ solver = SolveDiffusion2D() w = 22. h = 3. dx = 0.5 dy = 0.86 solver.initialize_domain(w, h, dx, dy) d = 7.0 solver.initialize_physical_parameters(d) actual_dt_rounde...
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def accents_dewinize(text): """Replace Win1252 symbols with ASCII chars or sequences needed when copying code parts from MS Office, like Word... From the book "Fluent Python" by Luciano Ramalho (O'Reilly, 2015) >>> accents_dewinize('“Stupid word • error inside™ ”') '"Stupid word - error inside(TM) ...
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def spiral_trajectory(base_resolution, spiral_arms, field_of_view, max_grad_ampl, min_rise_time, dwell_time, views=1, phases=None, ordering='lin...
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def total_examples(X): """Counts the total number of examples of a sharded and sliced data object X.""" count = 0 for i in range(len(X)): for j in range(len(X[i])): count += len(X[i][j]) return count
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def convert_and_save(model, input_shape, weights=True, quiet=True, ignore_tests=False, input_range=None, filename=None, directory=None): """ Conversion between PyTor...
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def no_afni(): """ Checks if AFNI is available """ if Info.version() is None: return True return False
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def delta_eta_plot_projection_range_string(inclusive_analysis: "correlations.Correlations") -> str: """ Provides a string that describes the delta phi projection range for delta eta plots. """ # The limit is almost certainly a multiple of pi, so we try to express it more naturally # as a value like pi/2 or ...
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def select_gpu(gpu_ids=None, gpu_mem_frac=None): """ Find the GPU ID with highest available memory fraction. If ID is given as input, set the gpu_mem_frac to maximum available, or if a memory fraction is given, make sure the given GPU has the desired memory fraction available. Currently only sup...
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def load_classification_dataset( fname, tokenizer, input_field_a, input_field_b=None, label_field='label', label_map=None, limit=None ): """ Loads a dataset for classification Parameters ========== tokenizer : transformers.PretrainedTokenizer Maps text to id tens...
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def test_mnist(args): """ Calculates error rate on MNIST for a previously saved MulticlassClassifier instance. Parameters ---------- args : argparse.Namespace Arguments from command line. Returns ------- error_rate : float The calculated error rate. Raises ------ ...
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def has_content_in(page, language): """Fitler that return ``True`` if the page has any content in a particular language. :param page: the current page :param language: the language you want to look at """ if page is None: return False return Content.objects.filter(page=page, languag...
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def public_encrypt(key, data, oaep): """ public key encryption using rsa with pkcs1-oaep padding. returns the base64-encoded encrypted data data: the data to be encrypted, bytes key: pem-formatted key string or bytes oaep: whether to use oaep padding or not """ if isinstance(key, str): key = key.en...
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def newton_method(f, x_init = 0, epsilon = 1e-10): """ Newton Raphson Optimizer ... Parameters --- f: Function to calculate root for x_init(optional) : initial value of x epsilon(optional): Adjustable precision Returns --- x: Value of root """ prev_value = x_init +...
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def create_preference_branch(this, args, callee): """Creates a preference branch, which can be used for testing composed preference names.""" if args: if args[0].is_literal: res = this.traverser.wrap().query_interface('nsIPrefBranch') res.hooks['preference_branch'] = args[0]...
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def circle( gdf, radius=10, fill=True, fill_color=None, name="layer", width=950, height=550, location=None, color="blue", tooltip=None, zoom=7, tiles="OpenStreetMap", attr=None, style={}, ): """ Convert Geodataframe to geojson and plot it. Parameters ...
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def draw_rectangle(turtle): """ This function draws the Guitar handle :param turtle: The name of the turtle :return: None """ turtle.color(139,69,19) turtle.penup() turtle.setpos(30, -45) turtle.begin_fill() turtle.pendown() for i in range(2): turtle.forw...
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def no_recurse(f): """Wrapper function that forces a function to return True if it recurse.""" def func(*args, **kwargs): for i in traceback.extract_stack(): if i[2] == f.__name__: return True return f(*args, **kwargs) return func
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def get_tap_number(distSys: SystemClass, names: List[str]) -> pandas.DataFrame: """ Get the tap number of regulators. Args: distSys : An instance of [SystemClass][dssdata.SystemClass]. names : Regulators names Returns: The tap number of regulators. """ def get_one(reg...
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def status(app: str) -> dict: """ :param app: The name of the Heroku app in which you want to change :type app: str :return: dictionary containing information about the app's status """ return Herokron(app).status()
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def GetIPv4Interfaces(): """Returns a list of IPv4 interfaces.""" interfaces = sorted(netifaces.interfaces()) return [x for x in interfaces if not x.startswith('lo')]
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def merge_dicts(source, destination): """ Recursively merges two dictionaries source and destination. The source dictionary will only be read, but the destination dictionary will be overwritten. """ for key, value in source.items(): if isinstance(value, dict): # get node or creat...
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def format_code(session): """Run code reformatter""" # session.install("-e", ".[lint]") session.install( "isort==4.3.21", "seed-isort-config==2.1.0", "black==19.10b0" ) session.run("seed-isort-config", success_codes=[0, 1]) session.run("isort", "-rc", *files_to_format) session.run("b...
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def create_hive_connection(): """ Create a connection for Hive :param username: str :param password: str :return: jaydebeapi.connect or None """ try: conn = jaydebeapi.connect('org.apache.hive.jdbc.HiveDriver', hive_jdbc_url, ...
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def main(): """ The main function to execute upon call. Returns ------- int returns integer 0 for safe executions. """ print('Hello World') return 0
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def brightness(image, magnitude, name=None): """Adjusts the `magnitude` of brightness of an `image`. Args: image: An int or float tensor of shape `[height, width, num_channels]`. magnitude: A 0-D float tensor or single floating point value above 0.0. name: An optional string for name of...
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def sitemap_xml(): """Sitemap XML""" sitemap = render_template("core/sitemap.xml") return Response(sitemap, mimetype="text/xml")
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def build_editable(location, expose=None, hide=None): """Generate files that can be added to a wheel to expose packages from a directory. By default, every package (directory with __init__.py) in the supplied location will be exposed on sys.path by the generated wheel. Optional arguments: expose:...
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def get_CM(): """Pertzの係数CMをndarrayとして取得する Args: Returns: CM(ndarray[float]):Pertzの係数CM """ # pythonは0オリジンのため全て-1 CM = [0.385230, 0.385230, 0.385230, 0.462880, 0.317440,#1_1 => 0_0 0.338390, 0.338390, 0.221270, 0.316730, 0.503650, 0.235680, 0.235680, 0.24128...
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def remove_sleepEDF(mne_raw, CHANNELS): """Extracts CHANNELS channels from MNE_RAW data. Args: raw - mne data strucutre of n number of recordings and t seconds each CHANNELS - channels wished to be extracted Returns: extracted - mne data structure with only specified channels """ extra...
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def zip(zipfilename, srcdirs): # , recursive=True): """ Last element of srcdir is considered root of zip'd content. E.g., srcdir="doc/Java" gives zip file with Java as the root element. srcdir might expand to /Volumes/SSD2/Users/parrt/antlr/code/antlr4/doc/Java """ if isinstance(srcdirs, bases...
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def save_email_schedule(request, action, schedule_item, op_payload): """ Function to handle the creation and edition of email items :param request: Http request being processed :param action: Action item related to the schedule :param schedule_item: Schedule item or None if it is new :param op_p...
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def MutipleClouds_LOS_example(): """Example spectrum from a LOS of multiple clouds""" # Define input wavenelgth array wavelength_array = WavelengthArray(1000,1560,7.5) # All physical parameters become arrays lognHs = [-4,-4.1,-3.6] logZs = [0, 0, 0] logTs = [4.3,4.2,4.0] # The...
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def show_colored_canvas(color): """Show a transient VisPy canvas with a uniform background color.""" from vispy import app, gloo c = app.Canvas() @c.connect def on_draw(e): gloo.clear(color) show_test(c)
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def slice( _data: DataFrame, *rows: NumericOrIter, _preserve: bool = False, base0_: bool = None, ) -> DataFrame: """Index rows by their (integer) locations Original APIs https://dplyr.tidyverse.org/reference/slice.html Args: _data: The dataframe rows: The indexes ...
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def get_random_color(): """ Get random color :return: np.array([r,g,b]) """ global _start_color, _color_step # rgb = np.random.uniform(0, 25, [3]) # rgb = np.asarray(np.floor(rgb) / 24 * 255, np.uint8) _start_color = (_start_color + _color_step) % np.array([256, 256, 256]) rgb = np.a...
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def test_del_list() -> None: """Remove element(s) from a list.""" nums: List[int] = [1, 2, 3, 4, 5] del nums[0] assert nums == [2, 3, 4, 5] del nums[1:3] assert nums == [2, 5] del nums[:] assert nums == [] # Delete entire variable del nums
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async def test_delete_start_entry_not_found( event_loop: Any, mocker: MockFixture, start_entry_mock: dict, ) -> None: """Should raise StartEntryNotFoundException.""" mocker.patch( "race_service.adapters.start_entries_adapter.StartEntriesAdapter.get_start_entry_by_id", return_value=No...
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def test_handler_issue_pr_mentioned(monkeypatch): """ handler_issue_pr_mentioned にサンプル入力を入れて動作確認 """ mentioned_header_path = SCRIPT_PATH.parent / "testdata/mentioned-header.json" mentioned_body_path = SCRIPT_PATH.parent / "testdata/mentioned-body.json" header = json.loads(mentioned_header_path.read_text...
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def CNN2d(CNN=None, second=10, saveable=True, name='cnn', fig_idx=3119362): """Display a group of RGB or Greyscale CNN masks. Parameters ---------- CNN : numpy.array The image. e.g: 64 5x5 RGB images can be (5, 5, 3, 64). second : int The display second(s) for the image(s), if savea...
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def get_client_ip(request): """ Simple function to return IP address of client :param request: :return: """ x_forwarded_for = request.META.get('HTTP_X_FORWARDED_FOR') if x_forwarded_for: ip = x_forwarded_for.split(',')[0] # pylint: disable=invalid-name else: ip = reque...
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def entropy(wair,temp,pres,airf=None,dhum=None,dliq=None,chkvals=False, chktol=_CHKTOL,airf0=None,dhum0=None,dliq0=None,chkbnd=False, mathargs=None): """Calculate wet air entropy. Calculate the specific entropy of wet air. :arg float wair: Total dry air fraction in kg/kg. :arg float te...
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def get_list_item(view, index): """ get item from listView by index version 1 :param view: :param index: :return: """ return var_cache['proxy'].get_list_item(view, index)
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def test_update_user_ensures_request_data_id_matches_resource_id(client, auth): """If request data contains an (optional) "id" then it has to match the resource id.""" auth.login() assert client.put("/api/users/{}".format(auth.id), headers=auth.headers, json={"id": auth.id, "name": "??", "password": "????"}...
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def interquartile_range_checker(train_user: list) -> float: """ Optional method: interquatile range input : list of total user in float output : low limit of input in float this method can be used to check whether some data is outlier or not >>> interquartile_range_checker([1,2,3,4,5,6,7,8...
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def pause(args): """Pause all the swift services. @raises Exception if any services fail to stop """ for service in args.services: stopped = service_pause(service) if not stopped: raise Exception("{} didn't stop cleanly.".format(service)) with HookData()(): kv()....
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def make_linear_colorscale(colors): """ Makes a list of colors into a colorscale-acceptable form For documentation regarding to the form of the output, see https://plot.ly/python/reference/#mesh3d-colorscale """ scale = 1.0 / (len(colors) - 1) return [[i * scale, color] for i, color in enum...
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def background(image_size: int, level: float=0, grad_i: float=0, grad_d: float=0) -> np.array: """ Return array representing image background of size `image_size`. The image may have an illimination gradient of intensity `I` and direction `grad_d`. The `image_size` is in pixels. `grad_i` expected to be ...
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def _warn_if_uri_clash_on_same_marshaled_representation(uri_schema_mappings, marshal_uri): """ Verifies that all the uris present on the definitions are represented by a different marshaled uri. If is not the case a warning will filed. In case of presence of warning please keep us informed about the is...
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def mapTypeCategoriesToSubnetName(nodetypecategory, acceptedtypecategory): """This function returns a name of the subnet that accepts nodetypecategory as child type and can be created in a container whose child type is acceptedtypecategory. Returns None if these two categories are the same (i...
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def sorted_unique(series): """Return the unique values of *series*, correctly sorted.""" # This handles Categorical data types, which sorted(series.unique()) fails # on. series.drop_duplicates() is slower than Series(series.unique()). return list(pd.Series(series.unique()).sort_values())
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def create_query_from_request(p, request): """ Create JSON object representing the query from request received from Dashboard. :param request: :return: """ query_json = {'process_type': DVAPQL.QUERY} count = request.POST.get('count') generate_tags = request.POST.get('generate_tags') ...
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def create_cxr_transforms_from_config(config: CfgNode, apply_augmentations: bool) -> ImageTransformationPipeline: """ Defines the image transformations pipeline used in Chest-Xray datasets. Can be used for other types of images data, type of augmentations to use and str...
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def is_compiled_with_npu(): """ Whether paddle was built with WITH_ASCEND_CL=ON to support Ascend NPU. Returns (bool): `True` if NPU is supported, otherwise `False`. Examples: .. code-block:: python import paddle support_npu = paddle.device.is_compiled_with_npu() "...
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def odd_occurrence_parity_set(arr): """ A similar implementation to the XOR idea above, but more naive. As we iterate over the passed list, a working set keeps track of the numbers that have occurred an odd number of times. At the end, the set will only contain one number. Though th...
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def write_directory_status(directory_status, run_id=None): """ Writes a status to the status file: Overwrites anything that is in the file Writes a timestamp to the time of last written :param directory_status: DirectoryStatus object containing status to write to directory :param run_id: optio...
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def larmor_step_search(step_search_center=cfg.LARMOR_FREQ, steps=200, step_bw_MHz=5e-3, plot=False, shim_x=cfg.SHIM_X, shim_y=cfg.SHIM_Y, shim_z=cfg.SHIM_Z, delay_s=1, gui_test=False): """ Run a stepped search through a range of frequencies to find the highest signal response Used to find a starting po...
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def get_role_tempalte(context: Optional[str] = None, name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetRoleTempalteResult: """ Use this data source to access information about an existing resource. """ pulumi.log.warn("""g...
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