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async def test_month_wordcloud(app: App, mocker: MockerFixture, message_record: None): """测试本月词云""" from nonebot.adapters.onebot.v11 import Message, MessageSegment from nonebot_plugin_wordcloud import wordcloud_cmd mocked_datetime_now = mocker.patch( "nonebot_plugin_wordcloud.get_datetime_now_...
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def hash_files(paths: List[str]): """ MD5 checksum a list of file paths """ return map(hash_file, paths)
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def get_version(*file_paths): """Retrieves the version from django_toosimple_q/__init__.py""" filename = os.path.join(os.path.dirname(__file__), *file_paths) version_file = open(filename).read() version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M) if version_match: ...
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def _probability_of_improvement(mu, sigma, y_max, xi): """ Calculates the probability of improvement at the point 'x', for which: mu = mean(x) sigma = std(x) TODO: should be in log-domain? Parameters ---------- mu : array_like, shape (n,) Mean. sigma : a...
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def length_of_year(year): """ the length of a day :param year: The year you wuld like to know the length. :returns: exact days. a day is longer then 365 days. """ return float(365.2564) if is_leap_year(year) else float(364.2564)
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def activate_environment_variables(): """Method to activate the current environment variables activate_environment_variables ============================== This method is used to activate the environments in the current active environment """ import subprocess as sp from argparse import Na...
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def test_failure_response_from_bitcoin_abuse(requests_mock): """ Given: - bitcoin address report. When: - Trying to report the address to Bitcoin Abuse Api, and receiving a failure response from Bitcoin Abuse service. Then: - Ensure the command throws an error. ...
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def remove_hydrogens(mol): """Removes any hydrogens from the graph of a molecule. This is a wrapper around rdkit.Chem.rdmolops.RemoveHs. Parameters ---------- mol: rdkit.Chem.Mol The molecule to be modified. Returns ------- mol: rdkit.Chem.Mol A new molecule with the h...
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def pixel_to_meter(sample, line, geotransform, shift=False): """provide point in map projection coordinates. Parameters ========== sample, line: <integer> Sample and line of an image in pixel coords Geotransform in format as given by GDAL datasets.GetGeoTransform() Returns ======= tupl...
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def get_status(api_key=None, request_id=None, proxies=None, auth=None): """ Получить состояние активации: http://sms-activate.ru/stubs/handler_api.php?api_key=$api_key&action=getStatus&id=$id :param api_key: ключ API авторизации на сервисе :param request_id: id активации :param proxies: адрес пр...
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def wait_for_task_complete (task_name: str, task_href: str): """ Summary: polls a task state and returns when the task is complete Parameters: task_name (str): the name of the task task_href (str): the href for the task Returns: None """ #logging msg = f"wa...
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def match_event(event_type): """Return event type matcher.""" def matcher(func): """Add decorated function to list for event matching.""" func = add_skill_attributes(func) func.matchers.append( {"event_type": { "type": event_type}}) return func ret...
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def fetch_data_for_date(record_date, site_id, data_dir): """ Download radar data for a given date and siteId from public S3 bucket """ files = [] bucket = S3.Bucket('noaa-nexrad-level2') data_site_prefix = '{record_date}/{site_id}'.format(record_date=record_date, site_id=site_id) for s3_obje...
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def update_item_from_dict(table_name, key, dictionary, client): """ Update the item identified by `key` in the DynamoDB `table` by adding all of the attributes in the `dictionary`. Args: table_name (str): key (dict): dictionary (dict): client: Returns: dict ...
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def indirect_bp_names(): """Return a list of valid Indirect Branch Predictor names.""" return _indirect_bp_classes.keys()
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def safely_generate(ds: tf.data.Dataset, progress: bool = True): """Yields examples from dataset, catching and logging exceptions.""" # Unsafe generating: # for example in ds: # yield example ds_iter = iter(ds) i = 0 wall_t0 = time.time() done = False while not done: t...
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def conv2tif_handler(config_file): """ Convert interferograms to geotiff. """ config_file = os.path.abspath(config_file) params = cf.get_config_params(config_file, step=CONV2TIF) conv2tif.main(params)
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def device_action(device): """ Generates an actionable text for a :class:`~two_factor.plugins.phonenumber.models.PhoneDevice`. Examples: * Send text message to `+31 * ******58` * Call number `+31 * ******58` """ assert device.__class__.__name__ == 'PhoneDevice' number = mask_phone_numb...
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def main_app_url(module_scoped_container_getter): """ Wait for the api from fastapi_main_app_main to become responsive """ return h.get_app_url(module_scoped_container_getter, "fastapi_main_app_main")
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def help_discover(): """ Discover the world """ s = ' ' * 2 # Discover the world usage = '\n' usage += s + grey(u'\u266A' + ' Discover the world \n') usage += s * 2 + light_green('trend') + ' will show global trending topics. ' + \ 'You can try ' + light_green('trend US') + ' or ...
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def _get_sign_array_1d(i: int, nsyms: int) -> Array: """Calculate array of nsyms signs that alternate every 2**i entries.""" sym_ints = jnp.arange(nsyms) # The exponent below is simply a clever way to get the value of the i_spin-th bit # of each integer in the sym_int array, to give us signs which alte...
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def test_write_append_df(sample_dataframe, first_chunk, second_chunk, tmp_path_factory): """Write the dataframe in two pieces, read it again and check identity""" tempdir = tmp_path_factory.mktemp("test_write_append_df") # Write first chunk backend = dframeio.ParquetBackend(str(tempdir)) backend.wr...
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def solve(lines): """Solve the problem.""" mem = dict() mask = "X" * 36 for line in lines: if line.startswith("mem"): m = MEM_RE.match(line) loc, val = [int(v) for v in m.groups()] mem[loc] = apply_val_mask(mask, val) elif line.startswith("mask"): ...
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def _squash_unicode_in_bestrefs(bestrefs, localrefs): """Given bestrefs dictionariesy `bestrefs` and `localrefs`, make sure there are no unicode strings anywhere in the keys or complex values. """ refs = {} for filetype, refname in bestrefs.items(): if isinstance(refname, tuple): ...
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def enum(**enums): """Enable use of enums by utilizing types""" return type('Enum', (), enums)
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def create_arithmetictrainer_from_files(*files) -> Arithmetictrainer: """ Create a Arithmetictrainer from a configuration file. """ config_files = configparser.ConfigParser() config_files.read(*files) if len(config_files.sections()) == 0: raise ValueError("Could not find a valid config i...
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def shrink(epsilon, x): """The shrinkage operator. This implementation is intentionally slow but transparent as to the mathematics. Args: epsilon: the shrinkage parameter (either a scalar or a vector) x: the vector to shrink on Returns: The shrunk vector """ # try e...
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def profiler_dtype_func(dtype, null=False): """ Return a function that check if a value match a datatype :param dtype: :param null: :return: """ def _float(value): if null is True: return fastnumbers.isfloat(value, allow_nan=True) is True and fastnumbers.isint(value) is ...
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def stop(job_id, event, action, resource, _count): """App stop event type""" job_name = '{}:event={}:action={}'.format( resource, event, action ) func_kwargs = dict( job_id=job_id, app_name=resource, ) return job_name, func_kwargs
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def kurt(im): """Return kurtosis = mean((image-mode)/2)^4). """ mode = stats.mode(im, axis = None)[0][0] z_score = (im-mode)/2 z_score = z_score**4 k = float(z_score.mean().values) return k
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def _format(str_lst, concise): """Format a string for printing. Parameters ---------- str_lst : list of str List containing all elements for the string, each element representing a line. concise : bool, optional, default: False Whether to print the report in a concise mode, or not. ...
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def vector_add(v, w): """adds corresponding elements""" return [v_i + w_i for v_i, w_i in zip(v, w)]
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def test_distribution_parameter_support(setup): """ * multinomial: test_distribution_parameter_support -- make sure all supports are (0.0, 1.0)... """ multinomp = setup['multinomp'] for p in multinomp: assert multinomp.distribution_parameter_support[p] == (0.0, 1.0)
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def get_chebi_role_to_children() -> Mapping[str, Set[Tuple[str, str]]]: """Get the ChEBI role to children mapping.""" df = get_filtered_relations_df('chebi', relation=has_role) return multisetdict( (role_id, ('chebi', chemical_id)) for chemical_id, _, role_id in df.values )
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def resample_solar_flux(solar_flux_file, sensor_waves, sensor_fwhms): """ Resample solar flux to sensor wavelengths. Arguments: solar_flux_file: str Solar flux filename. sensor_waves: array Sensor wavelengths. sensor_fwhms: array Sensor FWHMs. Retu...
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def get_arguments(): """Parse all the arguments provided from the CLI. Returns: A list of parsed arguments. """ parser = argparse.ArgumentParser(description="NAS Search") parser.add_argument("--dataset_type", type=str, default='celebA', help="dataset type to be traine...
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def nexthop_is_local(next_hop): """ Check if next-hop points to the local interface. Will be True for Connected and Local route strings on Cisco devices. """ interface_types = ( 'Eth', 'Fast', 'Gig', 'Ten', 'Port', 'Serial', 'Vlan', 'Tunn', 'Loop', 'Null' ) for type in interf...
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def mouse_body_geometry(beta,gamma,s,theta,phi): """ This function calculates the configuration of the mouse body In this configureation, it has four free parameters: azimuth and elevation of the nose/hip Returns the points, which define the model: center-points and radii theta el is elevation of th...
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def _set_mul(x, y): # noqa:F811 """ Multiplications in interval arithmetic https://en.wikipedia.org/wiki/Interval_arithmetic """ # TODO: some intervals containing 0 and oo will fail as 0*oo returns nan. comvals = ( (x.start * y.start, bool(x.left_open or y.left_open)), (x.start *...
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def calculate_expval(xcoords, wfuncs): """ Calculates the expected values :math:`<x>` for the x-coordinate by numerically calculating the integral .. math:: \\int_{x_{min}}^{x_{max}} | \\psi (x) |^2 x dx Args: xcoords (1darray): Array containing the x-coordinates wfuncs (nd...
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def generate_bbox(cls_map, reg, scale, threshold): """ 得到对应原图的box坐标,分类分数,box偏移量 """ # pnet大致将图像size缩小2倍 stride = 2 cellsize = 12 # 将置信度高的留下 t_index = np.where(cls_map > threshold) # 没有人脸 if t_index[0].size == 0: return np.array([]) # 偏移量 dx1, dy1, dx2, dy2 = [...
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def logistic_expval(mu, tau): """ Expected value of logistic distribution. """ return mu
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def is_(var): """intuitive handling of variable truth value also for `numpy` arrays. Return `True` for any non-empty container, otherwise the truth value of the scalar `var`. Caveat of the most unintuitive case: [0] evaluates to True, like [0, 0]. >>> import numpy as np >>> from cma.utilities...
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def test_biblary_upload_entry_get_with_storage(get_bibliography, client): """Test the :class:`biblary.views:BiblaryUploadFileView` view ``GET`` method with configured file storage.""" with get_bibliography(): url = reverse('upload-entry') response = client.get(url) assert response.status...
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def abs_load_diff(ilp_vars, x, y, vnfs, vims, dec_vars, types=['cpu', 'ram']): """ Calculating the actual load difference between two vims x and y. """ load_x = 0.0 load_y = 0.0 for res_type in types: if res_type == 'cpu': type_used = 'core_used' type_tot = 'cor...
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def facebook_auth_settings(request): """ Facebook Auth client side ID. """ context = {} context['FACEBOOK_AUTH_ID'] = getattr(settings, 'SOCIAL_AUTH_FACEBOOK_KEY', '') return context
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def keras_model_fn(hyperparameters): """keras_model_fn receives hyperparameters from the training job and returns a compiled keras model. The model will be transformed into a TensorFlow Estimator before training and it will be saved in a TensorFlow Serving SavedModel at the end of training. Args: ...
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def test_filter_entities_with_exclude_rename(): """ filters entity results using given schema which has exclude and rename attributes. """ exclude = ['id'] rename = dict(grade='new_grade', id='new_id') schema = ResultSchema(exclude=exclude, rename=rename, depth=4) kwargs = dict(id=1, age=2...
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def _check_open_tarball(testcase, response): """ Check http-response headers and open tar ball from content. """ testcase.assertTrue(re.search(r'attachment;\s*filename="[^"]*.tar.gz"', response['Content-Disposition'])) testcase.assertEqual(response['Content-Type'], ...
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def test_mscs_pre_assoc(dev, apdev): """MSCS configuration pre-association""" try: run_mscs_pre_assoc(dev, apdev) finally: dev[0].request("MSCS remove")
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def test_group_add(container, tmpdir): """Container should run with the specified uid, gid, and secondary group. """ c = container.run( user='1010:1010', group_add=['users'], command=['start.sh', 'id'] ) rv = c.wait(timeout=5) assert rv == 0 or rv["StatusCode"] == 0 ...
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def square_shaper(x, y, side_length=1): """Shaper function for a square with a given side length. Parameters ---------- x : float or array-like x-component of the step. y : float or array-like y-component of the step. side_length : float Square side length. Returns ...
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def make_non_pad_mask(lengths, xs=None, length_dim=-1): """ See https://github.com/espnet/espnet/blob/e962a3c609ad535cd7fb9649f9f9e9e0a2a27291/espnet/nets/pytorch_backend/nets_utils.py#L179 """ return ~make_pad_mask(lengths, xs, length_dim)
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def to_nsec(val): """Returns value in nanoseconds if value is ROS time/duration, else value.""" return val.to_nsec() if isinstance(val, genpy.TVal) else val
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def prob14(cur: sqlite3.Cursor) -> pd.DataFrame: """Show the 1984 winners and subject ordered by subject and winner name; but list Chemistry and Physics last. The expression subject IN ('Chemistry','Physics') can be used as a value - it will be 0 or 1. Parameters ---------- cur (sq...
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def instructor_get_projects(): """ Returns all the projects created by the instructor """ # TODO: get the userid from the auth service userid = "1" # get all the project ids for this user with db_utils.db_session() as session: query = db.select([Project]).where(Project.columns.instru...
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def GetKDPPacketHeaderInt(request=0, is_reply=False, seq=0, length=0, key=0): """ create a 64 bit number that could be saved as pkt_hdr_t params: request:int - 7 bit kdp_req_t request type is_reply:bool - False => request, True => reply seq: int - 8 sequence numb...
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def get_model(args, iteration: int): """Use the corresponding iCluster Model.""" logger.info("Setting up icluster-{} model...".format(args.mode)) save_dir = os.path.join(args.save_dir, MODEL_NAMES[args.mode], "iteration_{}".format(iteration)) if args.mode == "vanilla": model = iCl...
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def save_items_list(drive_service, file_location): """ save cloud items list in a json file :param file_location: location where file needs to be saved :param drive_service: servive object for drive :return: True if list successfully saved else false """ files = drive_service.files().list()....
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def dashifyHeadline(line): """ Takes a header line from a Markdown document and returns a tuple of the '#'-stripped version of the head line, a string version for <a id=''></a> anchor tags, and the level of the headline as integer. E.g., >>> dashifyHeadline('### some header l...
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def lineFileNext(fh): """ parses tab-sep file with headers as field names yields collection.namedtuples strips "#"-prefix from header line """ line1 = fh.readline() while line1.startswith("##"): line1 = fh.readline() line1 = line1.strip("\n").strip("#") headers = ...
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def setpos(fh, off): """Implementation of perl $fh->setpos method""" global OS_ERROR, TRACEBACK, AUTODIE try: fh.seek(off, os.SEEK_SET) return True except Exception as _e: OS_ERROR = str(_e) if TRACEBACK: cluck(f"setpos({off}) failed: {OS_ERROR}",skip...
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def create_pickle(data, filename): """ Create pickle for given data :param data: data object to be saved :param filename: pickle file name :return: None """ with open(filename, "wb") as f: pickle.dump(data, f)
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def check_game_has_finished(player, game): """ Checks if the game has finished :param player: (Player object) Current player :param game: current game being played :return: (boolean) True if the game has finished, else False """ finished_game = False # Check if game has finished if ...
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def nullspace_relative_norm(A, x, tol=1e-12): """Compute the ratio between the norm of components of `x` that are in the nullspace of `A` and the norm of `x`. Args: A (torch.Tensor): A matrix. x (torch.Tensor): A certain vector. tol (float): The tolerance level for determining what ...
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def get_filter(df, alt_list, mach_list, aos_list, aoa_list): """ Get a dataframe filter for a set of parameters lists. """ filt = pd.Series(True, index=df.index) if alt_list: filt &= df["altitude"].isin(alt_list) if mach_list: filt &= df["machNumber"].isin(mach_list) if aos_list:...
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def inet_ntoa(address): """Convert a network format IPv6 address into text. @param address: the binary address @type address: string @rtype: string @raises ValueError: the address isn't 16 bytes long """ if len(address) != 16: raise ValueError("IPv6 addresses are 16 bytes long") ...
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def _add_debug_argument(parser: argparse.ArgumentParser): """ Add ``--debug`` to an :class:`argparse.ArgumentParser` enables debug logging. """ parser.add_argument('--debug', '-D', action='store_true', help='enable debug logging')
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def write_manifest(manifest, files, ipAddress): """Write manifest file for kpush. Catagorize out source, test, tp+, ls, xml/csv files. """ file_list = dict() #load in manifest if it exists if os.path.exists(manifest): with open(manifest) as man: file_list = yaml.load(man, Loade...
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def parseOutputForAllowedKeys(ml, allowed_keys=None): """ Parses the given vclient output, while accepting only known (or allowed) keys. Also handles void states, where line occur that are neither a key nor a value. """ data = {} # When explicit keys are defined, start in void mo...
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def getAnyRun(sha256): """ Retrieves information from AnyRun Service :param sha256: hash value :return info: info object """ info = {'anyrun_available': False} if sha256 == "-": return info try: response = requests.get(URL_ANYRUN % sha256, proxies=PROXY) # print(r...
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def explore_run_save_data_path(run_data_path): """Save run data path Save run data path for next load in run stage :param run_data_path: str, represent result evaluate path :return: bool, represent save result """ explore_run_inst.run_data_path = run_data_path return True
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def test_get_release_from_bucket(): """ Gets the release from an object stored in a S3 bucket. """ s3 = boto3.resource("s3") client = boto3.client("s3") s3.create_bucket(Bucket="test") bucket = s3.BucketVersioning("test") bucket.enable() resp = client.put_object( Bucket="te...
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def add_alias(alias: str, id: str) -> bool: """ This function assigns a desired alias of the user to its id. Parameters ---------- alias : str The alias name of the user id : str The id of the user Returns ------- bool True if new alias has been added, otherw...
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def _weights_init(module, conv_weight_init_fn): """ initialize weights """ classname = module.__class__.__name__ if 'Conv' in classname and classname != "AvgPool2dWithConv": conv_weight_init_fn(module.weight) if module.bias is not None: init.constant(module.bias, 0) e...
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def launch_new_instance(): """ Launch an instance of the ArchieML parser. This is the entry function of the command-line tool `archieml`. """ archieml = ArchieML() archieml.main()
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def multi_scale_retinex(image: np.ndarray, sigma_list: List) -> np.ndarray: """ Performs multi-scale retinex by wrapping single-scale retinex Parameters ----------------------------- image: np.ndarray, Image to be enhanced sigma_list: List Recommended sigma values: [15, 80, 250]...
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async def update_check_notes( db_session: Session, check_id: uuid.UUID, note: str, accepted: bool, accepted_by: Optional[str] = None, ) -> None: """ Updates conclusion of check note. If Check accepted, user (accepted_by) should be provided. """ query = ( db_session.query(...
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def craft_unknown_asset_message( username, emoji, channel, launch_time, cloud_provider, vps_name, tags ): """Function to craft a nicely formatted Slack message using blocks for cloud assets not found in Ghostwriter. """ UNKNOWN_ASSET_MESSAGE = { "username": username, "icon_emoji": em...
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def nevow_adapter_resource(interceptors=v()): """ Create a Nevow ``IResource`` that executes a context and avoids as much Nevow machinery as possible. A ~`fugue.interceptors.nevow.nevow` interceptor will be attached to the front of the queue to facilitate the interaction with Nevow. """ _im...
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def make_division_term_lookup() -> pd.DataFrame: """DataFrame giving salient keywords for each division. Combines the two sources of salient terms. """ # Match trend terms to divisions (combining the two sources of salience data) division_term_lookup1 = _division_term_lookup_v1() division_ter...
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def address_has_changed(instance) -> bool: """ Check that the newly saved address is different from the already saved """ return (instance.address != get_user_model() .objects.get(id=instance.id).address)
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def condition(string: str) -> str: """Turn variable conditions into `if score`""" def equal_int(match: re.Match) -> str: groups = match.groups() return f'score {groups[0]} __variable__ matches {groups[1]}' string, success = re.subn( f'^{Re.var}\s*(?:==|=)\s*{Re.integer}$', equal_int,...
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def keyframe(absolute: bool = False,adjustBreakdown: bool = False,animation: str = "",attribute: str = "",breakdown: bool = False,clipTime: Tuple[float, float, float] = tuple(1.0, 1.0, 1.0),controlPoints: bool = False,eval: bool = False,float: Tuple[float, float] = tuple(1.0, 1.0),floatChange: float = 1.0,hierarchy: st...
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def setup_logger(): """Set up logging.""" logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) console_handler = logging.StreamHandler() console_handler.setLevel(logging.DEBUG) formatter = logging.Formatter("%(asctime)s %(name)24s %(levelname)8s: %(message)s") console_handler....
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def tilted_L1(u, quantile=0.5): """ tilted_L1(u; quant) = quant * [u]_+ + (1 - quant) * [u]_ """ return 0.5 * abs(u) + (quantile - 0.5) * u
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def get_abs_path(path: str) -> str: """ Gets the fully evaluated absolute path for a given path. This function uses a horrific workaround for an issue where CMD and Powershell 5 provide incorrect arguments when called with a path with spaces which ends in a backslash, like ".\my path\". This is pr...
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def prep_and_search(st, segment, data, indexprefix='new', returnsoltime=False): """ Reproduces rfpipe.search.prep_and_search but calculates and indexes noises. """ from rfpipe import source, search, reproduce, candidates ret = source.data_prep(st, segment, data, returnsoltime=returnsoltime) if...
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def update_entity(id): """ Update a story from the provided json :param intent_id: :param json: :return: """ json_data = loads(request.get_data()) entity = Entity.objects.get(id=ObjectId(id)) entity = update_document(entity, json_data) entity.save() return 'success', 200
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def data_augmentation(original_samples, original_labels, original_groups, augmentation_factor=2, x_coord=0, y_coord=1, c_coord=2): """ Pass original_samples after interpolation as a constant shape of (n_samples, NUM_FRAMES, n_keypoints, xyc) """ org_num_samples, org_num_frames, org_num_keypoints, org_...
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def get_sectors(): """Get all sectors in Yahoo Finance data. [Source: Finance Database] Returns ------- list List of possible sectors """ return fd.show_options("equities", "sectors")
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def addtracklabels( x: np.ndarray, y: np.ndarray, axes: Axes, ts: np.ndarray, c: str, plotall: bool, thislabel: str, cvs: List[str], seonly: bool, count: Counter, name: str, zorder: int = 16 ) -> None: """Adds labels to the track lines. Specifically the start and end ...
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def getId(collection): """ Get the ImageCollection id. **CLIENT SIDE** :type collection: ee.ImageCollection :return: the collection's id :rtype: str """ return collection.limit(0).getInfo()['id']
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def _process_data_ascii(raw, metadata, verbose_acquistion=True): """Process raw comma separated ascii data to time values and y voltage values as received from :func:`Oscilloscope.capture_and_read_ascii` Parameters ---------- raw : str From :func:`~keyoscacquire.oscilloscope.Oscilloscope.ca...
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def predict_batch(model, dataset_batcher: Batcher): """Predict the values using the given batcher Parameters ---------- model: SKLearn model dataset_batcher : Batcher Returns ------- np.array Predictions array """ y_pred = [] for X, y in dataset_batcher: y_...
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def migrate_file_target(target: FileTarget, copy: bool = False) -> FileTarget: """Apply a move, or copy of the FileTarget from source to new destination.""" _ensure_target_directory(target.target_move_path) target = _check_existing_target_file(target) if target.file_path == target.target_move_path: ...
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def bytes_to_human(size, digits=2, binary=True): """Convert a byte value to the largest (> 1.0) human readable size. Args: size (int): byte size value to be converted. digits (int, optional): number of digits used to round the converted value. Defaults to 2. binary (bool, op...
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def softModContext(*args, **keywords): """ Dynamic library stub function """ pass
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def get_stellar_toml(domain, allow_http=False): """Retrieve the stellar.toml file from a given domain. Retrieve the stellar.toml file for information about interacting with Stellar's federation protocol for a given Stellar Anchor (specified by a domain). :param str domain: The domain the .toml fil...
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def parseReplyBlock(s): """Return a new ReplyBlock object for an encoded reply block. Raise ParseError on failure. """ block, length = _parseReplyBlock(s) if length > len(s): raise ParseError("Misformatted reply block: extra data.") return block
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