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def model_outputs() -> str: """ Parses the model outputs in a human readable format. It also gets the boathouses by reach, so the user knows what boathouses are associated with each reach. Returns: Rendering of the model outputs via the `model_outputs.html` template. """ df = latest...
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def check_process(process, evaluator, quick, options): """Check the helas calls for a process by generating the process using all different permutations of the process legs (or, if quick, use a subset of permutations), and check that the matrix element is invariant under this.""" model = process.ge...
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def getFileState(fileName, workDir, jobId, ftype="output"): """ Return the current state of a given file """ # create a temporary file state object FS = FileState(workDir=workDir, jobId=jobId, ftype=ftype) # update this file state = FS.getFileState(fileName) # cleanup del FS return s...
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def to_minimal_subject_jobject(subdomain, minimal_subject): """Converts the given MinimalSubject of Subject into an object that can be passed to to_json().""" subject_types = cache.SUBJECT_TYPES[subdomain] attributes = get_attributes_to_render(subject_types) attribute_jobjects, attribute_is = make_j...
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def left_ascending_super_operator(hamiltonian, isometry, unitary): """ binary mera left ascending super operator Args: hamiltonian (tf.Tensor): hamiltonian isometry (tf.Tensor): isometry of the binary mera unitary (tf.Tensor): disentanlger of the mera Returns: tf.Tensor...
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def main(): """ cria scripts de variaveis.tf """ path_to_include = sys.argv[1] terragrunt_path = sys.argv[2] common_vars = buildvars(path_to_include, terragrunt_path) with open("{}/custom.tfvars".format(terragrunt_path), 'w') as file: # Use file to refer to the file object vars = """ ...
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def TASK_JUMP_FWD(step=1): """Jumps to the next task - eng.jumpCallForward() example: A, B, TASK_JUMP_FWD(2), C, D, ... will produce: A, B, D @var step: int """ def _x(obj, eng): eng.jumpCallForward(step) _x.__name__ = 'TASK_JUMP_FWD' return _x
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def __save__( script_name: str, benchbuild: BoundCommand, experiment: 'Experiment', projects: tp.Iterable[str] ) -> str: """ Dump a bash script that can be given to SLURM. Args: script_name (str): name of the bash script. commands (list(benchbuild.utils.cmd)): List of pl...
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def main(): """Make a jazz noise here""" args = get_args() debug = args.debug min_len = args.min_len ham = args.hamming_distance logfile = args.logfile table = args.table f1, f2 = args.positional logging.basicConfig( filename=logfile, filemode='w', level=l...
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def print_info(department_num, info): """ 按照第一层字典的键,值打印员工的所有信息 :param department_num: 部门编号 :param info: 信息的字典 :return: none """ print("%s的员工编号是%d,部门编号是%d,月薪%d元." % (info["name"], info["did"], department_num, info["money"]))
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def fib_iterative(n): """Calcualte n-th element of Fibonacci sequence. Assumes n >= 2 Returns: Fibonacci sequence up to element n, and n-th element of the seq. """ fibSeq = [0, 1] # base case for ii in range(2,n): # note: list(range(2,2)) is an empty list [] fibSeq.append(fibSeq[ii-2...
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def discover_functions( source: Union[Path, str, Module, Iterable[Module], type], signature: Type[Callable] = Callable, # type: ignore include_privates: bool = False, in_private_modules: bool = False, raise_on_fail: bool = False) -> List[type]: """ Discover any functions...
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def is_single_file(source_ref_path): """return bool""" return path.isfile(source_ref_path) or uri_validator(source_ref_path)
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def write(obj, format, into, mode='w', **kwargs): """Write a supported skbio file format from an instance or a generator. This function is able to reference and execute all *registered* write operations in skbio. Parameters ---------- obj : object The object must have a registered writ...
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def translate_connstring(connstring): """ Acepta un parámetro "connstring" que tenga la forma user@host/dbname y devuelve todos los parámetros por separado. Tiene en cuenta los valores por defecto y las diferentes formas de abreviar que existen. """ user = "postgres" passwd = "pa...
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def bytescale(im): """ The input should be between [0,1] output is [0,255] in a unsigned byte array """ imout = (im*255).astype('u1') return imout
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def pylsp_commands(config, workspace): """The list of command strings supported by the server. Returns: List[str]: The supported commands. """
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def gen_md5(src_byte): """ gen md5 :param src_byte: :return: """ m2 = hashlib.md5() m2.update(src_byte.encode("utf-8")) return m2.hexdigest()
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def workout_map_shot(context, request): """ Ask for the screenshot of a map, creating one if it does not exist. A json object is returned, containing the info for the needed screenshot """ if context.map_screenshot is None: save_map_screenshot(context, request) info = {'url': request.st...
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def config_read_only(host): """ Determine how read_only should be set in the cnf file Args: host - a hostaddr object Returns: The string value of READ_ONLY_OFF or READ_ONLY_ON. """ zk = MysqlZookeeper() try: (_, replica_type) = zk.get_replica_set_from_instance(host) except:...
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def to_string(opt): """Encodes the option into a string""" entry = opt.entry if not tosave(entry): return False line = '' for key, val in entry.items(): if key in ['kid']: continue val = '{!r}'.format(val) val = val.replace(assign_sym, ...
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def sleep(seconds): """Delay execution by the given number of seconds""" # This version of "sleep" does not throw an excpetion if passed a negative # waiting time, but instead returns immediately. from time import sleep if seconds > 0: sleep(seconds)
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def test_spreadsheet_to_plan_list_1(tmp_path, ext): """ Basic test for ``spreadsheet_to_plan_list()`` function. Check that the list of plans could be saved and then restored from the spreadsheet without change. Check that the restored parameters have correct types. """ # Add plans with a kwarg t...
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def search_in_comments( comments: List[Union[str, Comment]], filter_regex: str ) -> Optional[Match[str]]: """ Find match in pull request description or comments. Args: comments: List of comments or bodies of comments to be searched through. filter_regex: Regex to be used for...
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def train(): """Train fasterrcnn dataset.""" config_train = DatasetConfig().to_dict() config_train = config_train['_class_data'].train prefix = "FasterRcnn.mindrecord" mindrecord_dir = config_train.mindrecord_dir mindrecord_file = os.path.join(mindrecord_dir, prefix + "0") print("CHECKING MI...
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def create_local_adapter_access(mmu_access, adapter_description, adapter): """ Creates a local adapter access. Parameters ------------ mmu_access : MMUAccess The mmu access the adapters are connected to adapter_descriptions : AdapterDescription The adapter description ad...
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def avro_artifacts(version = "1.8.2"): """ version: str = "1.8.2" - the version of avro to fetch """ return [ maven.artifact( group = group_id, artifact = artifact_id, version = version, ) for [group_id, artifact_id] in [AVRO, AVRO_TOOLS] ]
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def build_resnet( repetitions=(2, 2, 2, 2), include_top=True, input_tensor=None, input_shape=None, classes=1000, block_type='conv', attention=None): """ TODO """ import keras.backend as K from keras.layers import Input from keras.layers im...
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def bed_generate_random_negatives(in_bed, chr_sizes_file, out_bed, incl_bed=False, excl_bed=False, allow_overlaps=False): """ Shuffle given in_bed, generating random negative regions. Optionally, the region...
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def parse(docs): """Parse __docs__ text into markdown. Will parse directives like `:param name:` etc""" # strip leading tabs if not docs: return "" docs = strip_leading_tabs(docs) if ":param" in docs: out, title_set = [], False for line in docs.splitlines(): if ":param" in line: if not title_set: ...
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def store_ticker_to_csv(ticker_history: TickerHistory, file_path: Union[str, io.StringIO]): """Store a ticker's historical price information in a csv file. We should always use this function to store ticker history data since it ensures that we use a unified frame layout and float precision. Otherwise,...
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def mergersort(arr): """Sort function.""" def split(arr): if len(arr) <= 1: return lst mid = len(arr) // 2 left = arr[:middle] right = arr[middle:] left = split(left) right = split(right) return merge(left, right) def merge(left, right):...
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def default_interface(): """ Return just the default interface device dictionary. """ parser = get_parser() return parser.default_interface
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def ape(y, p): """Absolute Percentage Error (APE). Args: y (float): target p (float): prediction Returns: e (float): APE """ assert np.abs(y) > EPS return np.abs(1 - p / y)
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def new_record(score): """Verifie si le score peu entrer dans le top ten""" topten = load_json('topten.json') for index, player in enumerate(topten): if score > player["score"]: return index return None
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def _mean_of_cycle(data, setup_time=30, data_dict={}): """ Calculates mean of raw and reference signal during a zero cycle setup_time in seconds """ row_selection = (data.zerocycle_runtime >= setup_time) & (data.State_Zero == 1) cycle = data.loc[row_selection].agg( { "times...
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def proteinnet_tf_dataset(pn_map, batch_size, prefetch=0, shuffle_buffer=0, repeat=True): """ Initiate a TensorFlow Dataset from a ProteinNetMap. Create a TensorFlow Dataset from a ProteinNetMap, taking the output of the map and adding batching, shuffling and repeating in additio...
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def down(services): """Bring down one or more services """ if len(services) > 0: _docker_compose('stop', *services) else: _docker_compose('down')
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def setup_deploy_map(map): """ Calls copy_map_dirs, extract_tiles, deploy_map and deploy_json. """ copy_map_dirs(map) extract_tiles(map) deploy_map(map) deploy_json(map)
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def post_gist(content, description="", filename="file", auth=False): """Post some text to a Gist, and return the URL.""" post_data = json.dumps( { "description": description, "public": True, "files": {filename: {"content": content}}, } ).encode("utf-8") ...
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def lru_cache(protected: bool = False, maxsize: int = 128, typed: bool = False): """ Wrapped version of the functools.lru_cache decorator which keeps track of all decorated functions to allow clearing all caches. :param protected: if set to True, the cache for this function will only be cleared by ...
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def mask2rle(mask): """ Efficient implementation of mask2rle, from @paulorzp img: numpy array, 1 - mask, 0 - background Returns run length as string formated Source: https://www.kaggle.com/xhlulu/efficient-mask2rle """ pixels = mask.T.flatten() pixels = np.pad(pixels, ((1, 1), )) ru...
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def CreateUniformBuffer(program, uniform_type, uniform_name, default_data=None): """ create uniform buffer from .mat(shader) file """ uniform_classes = [ UniformBool, UniformInt, UniformUint, UniformFloat, UniformVector2, UniformVector3, UniformVector4, UniformBoolVector2, UniformBoolVec...
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def root(): """Base view.""" over10 = Record.query.filter(Record.value >= 10).all() return str(over10)
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def on_wake( va_config ): """唤醒后的处理函数: 闪烁远程麦克风上的灯""" data = { "entity_id": signal_light, "effect": "Strobe" } ha_api.post_service( "light.turn_on", data )
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def quadratic_2d(data): """ Compute the quadratic estimate of the centroid in a 2d-array. Args: data (2darray): two dimensional data array Returns center (tuple): centroid estimate on the row and column directions, respectively """ arg_data_max = np.argm...
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def tr_to_final_ph(stage, tr_to_ph, wind_final_perf, final_ph): """ Computes the number of trials required to reach the final phase. """ time = np.where(stage == final_ph)[0] # find those trials in phase 4 reached = False if len(time) != 0: first_tr = np.min(time) # min trial is first tria...
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def get_shannon_entropy(sequence): """Given a sequence, compute the Shannon Entropy, defined in https://ijssst.info/Vol-16/No-4/data/8258a127.pdf Args: sequence (np.array, [t, ]): sequence over which to compute. Returns: float: shannon entropy. """ # Remove zero entries in sequ...
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def interpolate_df(x, name, fp): """Interpolate a dataframe :param x: the x-coordinates at which to evaluate the interpolated values :type x: array :param name: the name of the column to use in the dataframe for the x-coordinate :type name: str :param fp: the dataframe containing the y-coordina...
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def geocoder_to_place(result): """Convert a result object from geocoder to a Place object""" return Place( name=result.address, country=result.country, country_code=result.country_code, state=result.state, description=result.description + " - " + result.class_description,...
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def query_session_job_status(session, status, user=None): """ :type session: Session :type user: User """ session = Session.objects.with_id(session) if not session: return None, HTTPStatus.NOT_FOUND if status not in ['success', 'started', 'dispatched', 'ready', 'failure', 'created']...
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def replace_string_newline(str_start: str, str_end: str, text: str) -> str: """ re.sub function stops at newline characters, but this function moves past these params: str_start, the start character of the string to be delted str_end, the end character of the string to be deleted te...
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def convert_cell(ase_cell): """ Convert a parallelepiped (forming right hand basis) to lower triangular matrix LAMMPS can accept. This function transposes cell matrix so the bases are column vectors """ cell = ase_cell.T if not is_upper_triangular(cell): tri_mat = np.zeros((3, 3)) ...
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def header_required(response, name, callback=do_nothing): """Checks that a specific header is in a headers dictionary. Args: response (object): An HTTP response object, expected to have a ``headers`` attribute that is a ``Mapping[str, str]``. name (str): The name of a required heade...
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def test_node_catchup_when_3_not_primary_node_restarted( looper, txnPoolNodeSet, tdir, tconf, allPluginsPath, steward1, stewardWallet): """ Test case: 1. Create pool of 4 nodes 2. Stop not primary node 3. Send some txns 4. Start stopped node 5. Ensure, that restarted node go...
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def get_model(point_cloud, is_training, num_class, bn_decay=None): """ Semantic segmentation PointNet, input is BxNx3, output Bxnum_class """ if isinstance(num_class, int): num_class = [num_class] batch_size = point_cloud.get_shape()[0].value num_point = point_cloud.get_shape()[1].value end_...
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def test_kubernetes_resource_get_uid_incomplete(): """ This test verifies that KubernetesResource.get_uid() returns None for an undefined resource. """ assert KubernetesResource(dict()).get_uid() is None
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def get_internal_weights(model): """Get all weights of a model without Wrapper specific weights. Args: model (keras.models.Model): wrapped model Returns: internal layer weights """ weights = [] for layer in model.layers: if isinstance(layer, PruningWrapper): weig...
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def get_visit_date(fecha_inicio): """ :param fecha_inicio: :return: date string YYYY-mm-dd """ if not fecha_inicio.strip(): return "" try: date_obj = datetime.strptime(fecha_inicio, "%m/%d/%y %H:%M %p") except ValueError: try: date_obj = datetime.strptime...
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def text_normalize(text): """ Normalize Vietnamese accents """ text = re.sub(r"òa", "oà", text) text = re.sub(r"óa", "oá", text) text = re.sub(r"ỏa", "oả", text) text = re.sub(r"õa", "oã", text) text = re.sub(r"ọa", "oạ", text) text = re.sub(r"òe", "oè", text) text = re.sub(r"óe"...
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def from_iso8601(s): """ convert iso8601 string to datetime object. refer to http://xml2rfc.ietf.org/public/rfc/html/rfc3339.html#anchor14 for details. :param str s: time in ISO-8601 :rtype: datetime.datetime """ m = _iso8601_fmt.match(s) if not m: m = _iso8601_fmt_date.match(s)...
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def _ExtStorageEnvironment(unique_id, ext_params, size=None, grow=None, metadata=None, name=None, uuid=None, snap_name=None, snap_size=None, exclusive=None): """Calculate the environment for an External Storage...
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async def process_invoise_invalid(message: types.Message): """ If invoise is invalid """ return await message.reply("Номер заказа должен быть цифровой.\nВведите последние 5 цифр заказа:")
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def g(i, k, l): """ Stage cost. Please check page 384 and page 385 of [1]. :param i: state :param k: control :param l: switching :return: the cost """ n = 9 m = 4 X = inverse_map(i, n) U = inverse_map(k, m) A = [-28, -12, 12, 16, 0, 0, 0, 20, 16] B = [-8, 40, 20, 40]...
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def request_workload_stop(data): """Request to stop a container""" wl = utils.get_managed_object(data.client, "workload", "workload", data.id_or_name) if not wl: return try: data.client.request("workload", "request", wl["id"], {"request": {"command": "stop"}}) except client.ObjectNo...
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def fit_predict_update(clf, X_train, X_tests, y_train, y_tests, t_train, t_tests, fit_function=None, predict_function=None, rebalancers=(), rejectors=(), selectors=()): """Sliding window classification of a timestamp partitioned dataset. This...
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def is_expired(epoch_time): """True if current time has passed the provided epoch_time""" return time.time() > epoch_time
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def _assembleInit(xdata, ydata, bounds=None): """assemble the initial values based on the spectrum""" #INTITIALIZE VARIABLES init = scipy.zeros((3*len(semiEmperical)+1,)) output = scipy.zeros((len(init), 2)) ones = scipy.ones(semiEmperical.shape) #set baseline init[0] = ydata.min()#_in...
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def main(path: Union[None, str, pathlib.Path] = None): """Plot difficulty and engagement for private leaderboard :param path: Location of json dump from leaderboard api. """ if path is None: path = more_itertools.one(pathlib.Path.cwd().glob("*.json")) else: path = pathlib.Path(path)...
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def import_settings(method, filename=None, dictconfig:DictConfig=None, parent=None, **kwargs): """ Imports a filepath or a DictConfig/SettingsINI object and applies settings to the dialog. :param filename: (str, default None) The file path to the configuration settings. :param diciguration ...
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def strtobool(val: str) -> bool: """Convert a string representation of truth to True or False. True values are 'y', 'yes', 't', 'true', 'on', and '1'; false values are 'n', 'no', 'f', 'false', 'off', and '0'. Raises ValueError if 'val' is anything else. """ if not isinstance(val, str): ...
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def _convert_value_to_timestamp(value): """Convert SQL value to Python datetime object.""" # TODO: Use ciso8601 for faster conversions. if util.isString(value): return datatypes.convertTimestamp(value) else: return datetime.datetime.fromtimestamp(value / datatypes.SECS_IN_MILLISECS)
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def programs2go(program2gene_dict,organism="hsapiens",fdr=0.1): """Get GO terms for programs. ...
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def test_create_project_unknown_field(client): """Make request with unknown field passed.""" # Make sure there's 3 unit admins for unit create_unit_admins(num_admins=2) current_unit_admins = models.UnitUser.query.filter_by(unit_id=1, is_admin=True).count() assert current_unit_admins == 3 # Att...
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def api_string_search_choices(request, slug): """Return valid choices for a string search given other search criteria. This is a PRIVATE API. Return all valid choices for a given string search slug given the partial search value entered for that slug, its q-type, and the remainder of the normal se...
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def get_screensaver_running_status(): """ Get the status of the running screensaver. """ screensaver = { 'name': 'screensaver_status' } is_screensaver_running = False try: is_screensaver_running = checkPidRunning(int(get_pid("xautolock"))) except: screensaver['full_text'...
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def _unwrap(variable_parts: VariablePartsType): """ Yield URL parts. The given parts are usually in reverse order. """ curr_parts = variable_parts var_any = [] while curr_parts: curr_parts, (var_type, part) = curr_parts if var_type == Routes._VAR_ANY_NODE: var_any.a...
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def main(): """Build template and output to file.""" args = parse_args() if args.execute_step: args.execute_step(args)
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def position_extrapolate(dist_1_coords, dist_2_coords, delta_heading, delta_distance): """ update pdr predictions based on extrapolating last SfM position and direction :param dist_1_coords: sfm point immediately preceding or following (distance = 1) :param dist_2_coords: sfm point next to dist_1_coord...
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def detect_nose(cv_image): """Detects nose based on haar. Returns ponts""" return NOSE_HAAR.detectMultiScale(cvimage_grayscale(cv_image))
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def cvt_try_stmt(node: pytree.Base, ctx: Ctx) -> ast_cooked.Base: """ try_stmt: ('try' ':' suite ((except_clause ':' suite)+ ['else' ':' suite] ['finally' ':' suite] | 'finally' ':' suite)) """ #-# Try(stmt* body, excepthandler* handlers, stm...
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def plot(**pdata): """ Generic plotting routine. Sets basic options then passes parameters to detailed plotting functions. """ # Sanity checks ndata = 0 assert 'ax' not in pdata or 'save' not in pdata, 'Attempted to save the figure, but the axis has been supplied manually!' asser...
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def get_date_tag(date_format: str = DATE_FORMAT) -> str: """Returns a date string tag according to the DATE_FORMAT specifier, e.g. '2019-04-01'""" return datetime.now().strftime(date_format)
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def translate(image, dx, dy, **kwargs): """ Shift image horizontally and vertically >>> image = np.eye(3, dtype='uint8') * 255 >>> translate(image, 2, 1) array([[ 0, 0, 0], [ 0, 0, 255], [ 0, 0, 0]], dtype=uint8) :param numpy array image: Numpy array with ran...
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def iot() -> None: """Internet-of-Things."""
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def stations_by_river(stations, river): """Takes a list of stations and returns a list of all the station names on a specific river in alphabetic order""" station_names = [] for station in stations: if station.river == river: station_names.append(station.name) station_names = sor...
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def read_career_info(carrera_id, test=False): """Consulta la información de una carrera según su código.""" query = 'SELECT * FROM carrera WHERE id = %s' return execute_sql(query, args=[carrera_id], rows=1, test=test)
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def get_atomic_species_card(name, **kwargs): """ Convert XML data to ATOMIC_SPECIES card :param name: Card name :param kwargs: Dictionary with converted data from XML file :return: List of strings """ try: atomic_species = kwargs['atomic_species'] species = atomic_species['s...
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def _get_document_pdf(data: dict, data_key: str, token: str, config: BaseConfig) -> Tuple[bytes, HTTPStatus]: """Retrieve the document pdf from the Reports API. Args: data: The data to send to the API. token: The token to access the API. config: The application config data. end_...
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async def _process_group_platform(hass, domain, platform): """Process a group platform.""" current_domain.set(domain) platform.async_describe_on_off_states(hass, hass.data[REG_KEY])
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def is_url(arg): """输入是一个字符串,且值是一个合法的url""" if not isinstance(arg, str): return False try: result = urlparse(arg) return all([result.scheme, result.netloc]) except ValueError: return False
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def rm(target): """Remove target which may be file or dir. """ if os.path.isfile(target): os.remove(target) else: shutil.rmtree(target)
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def scrape_indeed(database, indeed_client, logger, job_title, locations): """ Scrape job data from indeed and save it to the database :param database: Database to save the indeed data :param indeed_client: Indeed API client :param logger: Logger to log activity :param job_title: Job title to sea...
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def upload_product(product_path, cfg, conn, browse_path=None, skip_notify=False): """Upload a product to the AWS S3 bucket. Takes a product path, the subscription ID for the product, the configuration parameters, and a database connection, uploads the product to the AWS S3 bucket, and emails the user. ...
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def run_hybrid(wf, selector, workers): """ Returns the result of evaluating the workflow; runs through several supplied workers in as many threads. :param wf: Workflow to compute :type wf: :py:class:`Workflow` or :py:class:`PromisedObject` :param selector: A function selecting ...
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def getCompartment(rxn): """ This function is used to obtain the compartment information from reaction of yeastGEM :param rxn: example acetyl-CoA[m] + L-glutamate[m] -> coenzyme A[m] + H+[m] + N-acetyl-L-glutamate[m]' :return: """ cp1 = ['[c]','[ce]','[e]','[er]','[erm]','[g]','[gm]','[lp]','[...
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def compose_class(class_names): """Create a composite class from a list of class names.""" classes = [] classes.append(Basic) # Class is the root of inheritance for class_name in class_names: if class_name != "basic": # Normally this is not explicitly specified, so is implicit, but even it i...
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def copy_outputfiles(model_id: str, new_model_id: str): """ Copy outputfiles for a single model_id to a new_model_id """ outputfiles = get_outputfiles(model_id) if type(outputfiles) == Response: return False model_outputs = [] changed_uuids = {} for f in outputfiles: old...
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def create_cancel_jobs_messages(job_ids, when): """Creates messages to cancel the given jobs :param job_ids: The job IDs to cancel :type job_ids: list :param when: The cancel time :type when: :class:`datetime.datetime` :return: The list of messages :rtype: list """ messages = [] ...
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def adsorbate_property_type_to_db( type_dict, db_path: str = None, overwrite: bool = False, verbose: bool = True, **kwargs: dict, ): """ Uploads an adsorbate property type. The type_dict takes the form of:: { 'type' : 'the_type', 'unit': 'the_unit', ...
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