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def lambda_handler(event, context): """ Listens to SQS events fired when new data files are added to the data bucket's data directory. If the updated key matches a set of criteria, converts the raw data file into an index and writes to an output S3 bucket. As per the default configuration, the buck...
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def pinghost(host): """ Ping target with a 1-second timeout limit :param str host: Destination to reach. IP address or domain name :returns: True if reached, otherwise False """ host = str(host).split(':')[0] # leave off the port if exists # print "Pinging" if os.name == 'posix': ...
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def get_trade_factors(name: str, mp: float, allow_zero: bool, long_open_values: List, long_close_values: List, short_open_values: List = None, short_close_values: List = None) -> dict: ...
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def mbstrlen(src): """Return the 'src' string (Multibytes ASCII string) length. :param src: the source string """ try: return len(src.decode("utf8", errors = "replace")) except Exception, err: LOG.error("String convert issue %s", err) return len(src)
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def activate(paramOverrides={}, modelOverride=None, filename=None): """Activate the veneer when beginning to compile a Scenic module.""" global activity, _globalParameters, lockedParameters, lockedModel, currentScenario if paramOverrides or modelOverride: assert activity == 0 _globalParameters.update(paramOverri...
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def test_get_version_with_absolute_path_to_root(mock_open_fix, mock_is_dir_true, mock_is_path_true, versioner): """Tests if version number is returned when absolute path to projects root is given and default VERSION.txt is used as a file.""" assert versioner....
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def test_dimmer_turn_off(mock_openzwave): """Test turning off a dimmable Z-Wave light.""" node = MockNode() value = MockValue(data=46, node=node) values = MockLightValues(primary=value) device = zwave.get_device(node=node, values=values, node_config={}) device.turn_off() assert node.set_di...
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def adapted_border_postprocessing(border_prediction, cell_prediction): """ :param border_prediction: :param cell_prediction: :return: """ prediction_border_bin = np.argmax(border_prediction, axis=-1) cell_prediction = cell_prediction > 0.5 seeds = border_prediction[:, :, 1] * (1 - bord...
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def calc_bonding_volume(rc_klab, dij_bar, rd_klab=None, reduction_ratio=0.25): """ Calculate the association site bonding volume matrix Dimensions of (ncomp, ncomp, nbeads, nbeads, nsite, nsite) Parameters ---------- rc_klab : numpy.ndarray This matrix of cutoff distances for associat...
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def scale_enum(anchor, scales): """Enumerate a set of anchors for each scale wrt an anchor. """ w_w, h_h, x_ctr, y_ctr = genwhctrs(anchor) w_s = w_w * scales h_s = h_h * scales anchors = makeanchors(w_s, h_s, x_ctr, y_ctr) return anchors
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def L1(): """ Graph for computing 'L1'. """ graph = beamline(scatter=True) for node in ['scattered_beam', 'two_theta', 'L2', 'Ltotal']: del graph[node] return graph
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def _highlight_scoring( original_example, subset_adversarial_result, adversarial_span_dict ): """ Calculate the highlighting score using classification results of adversarial examples :param original_example: :param subset_adversarial_result: :param adversarial_span_dict: """ original_ut...
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def aniquilar(base, eliminaciones): """ Eliminar todas las claves (anidado) mencionadas en ''eliminaciones'', de ``base``. .. versionadded:: 1.0 """ for clave, valor in six.iteritems(eliminaciones): if isinstance(valor, dict): # NOTE: no probar si la clave [clave] existe; si...
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def server_hello(cmd, response): """Test command """ return response
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def init_db(): """Initialise DB""" clear_data() add_admin_user() add_settings() add_forecast_areas() add_regular_railway_data() add_rapid_railway_data() add_bullet_railway_data() db.session.commit()
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def applyRigidAlignment(outDir, refFile, inDataListSeg, inDataListImg=[], icp_iterations=200): """ This function takes in a filelists(binary and raw) and makes the size and spacing the same as the reference """ isoValue = 1e-20 antialias_iterations = 30 print("\n############# Rigidly...
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def test_vectorised_likelihood_not_vectorised_error(model, error): """ Assert the value is False if the likelihood is not vectorised and raises an error. """ def dummy_likelihood(x): if hasattr(x, '__len__'): raise error else: return np.log(np.random.rand()) ...
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def display_timestamps_pair(time_m_2): """Takes a list of the following form: [(a1, b1), (a2, b2), ...] and returns a string (a_mean+/-a_error, b_mean+/-b_error). """ if len(time_m_2) == 0: return '(empty)' time_m_2 = np.array(time_m_2) return '({}, {})'.format( display_timestam...
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def get_legendre(degree, length): """ Producesthe Legendre polynomials of order `degree`. Parameters ---------- degree : int Highest order desired. length : int Number of samples of the polynomials. Returns ------- legendre : np.ndarray A `degree`*`l...
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def forbid_start(): """Pseudo context manager to forbid BUI to start during the with clause.""" global FORBID_START FORBID_START = True try: yield None finally: FORBID_START = False
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def _get_table_names(): """Gets an alphabetically ordered list of table names from facet_fields.csv. Table names are fully qualified: <project id>:<dataset id>:<table name> """ config_path = os.path.join(app.app.config['DATASET_CONFIG_DIR'], 'bigquery.json') table_nam...
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def openmm_simulate_amber_explicit( pdb_file, top_file=None, check_point=None, GPU_index=0, output_traj="output.dcd", output_log="output.log", output_cm=None, report_time=10*u.picoseconds, sim_time=10*u.nanoseconds, reeval_time=None, ...
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def _get_controller_of(pod): """Get a pod's controller's reference. This uses the pod's metadata, so there is no guarantee that the controller object reference returned actually corresponds to a controller object in the Kubernetes API. Args: - pod: kubernetes pod object Returns: the refe...
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def proxify_device_objects( obj: Any, proxied_id_to_proxy: Dict[int, ProxyObject], found_proxies: List[ProxyObject], ): """ Wrap device objects in ProxyObject Search through `obj` and wraps all CUDA device objects in ProxyObject. It uses `proxied_id_to_proxy` to make sure that identical CUDA de...
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def draw_triangles_1(length): """ Draw a red triangle :param length: Length of 1 side of triangle :pre: pos:lower left, turtle down , facing east :post: pos:lower left, turtle down , facing east :return: None """ turtle.pencolor('red') for _ in range(3): turtle.forward(length...
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def monotonicity(x, rounding_precision = 3): """Calculates monotonicity metric of a value of[0-1] for a given array.\nFor an array of length n, monotonicity is calculated as follows:\nmonotonicity=abs[(num. positive gradients)/(n-1)-(num. negative gradients)/(n-1)].""" n = x.shape[0] grad = np.gradient(x) ...
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def get_cluster_cids(): """return list of CIDs with pin types""" output = subprocess.check_output([ 'docker-compose', 'exec', '-T', 'cluster', 'ipfs-cluster-ctl', 'pin', 'ls' ]) return [ '-'.join([l.split()[0], l.split()[-1].lower()]) for l in output.decode('utf-8').split...
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def download(homework, version="latest", redownload=False): """Download data files for the specified datasets. Defaults to downloading latest version on server. Parameters: homework (str): The name of the dataset to download data for, or "all" to download data for all datasets versi...
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def parse_value_namedobject(tt): """ <!ELEMENT VALUE.NAMEDOBJECT (CLASS | (INSTANCENAME, INSTANCE))> """ check_node(tt, 'VALUE.NAMEDOBJECT') k = kids(tt) if len(k) == 1: object = parse_class(k[0]) elif len(k) == 2: path = parse_instancename(kids(tt)[0]) object = par...
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async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool: """Unload Dyson cloud.""" # Nothing needs clean up return True
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def quat_correct(quat): """ Converts quaternion to minimize Euclidean distance from previous quaternion (wxyz order) """ for q in range(1, quat.shape[0]): if np.linalg.norm(quat[q-1] - quat[q], axis=0) > np.linalg.norm(quat[q-1] + quat[q], axis=0): quat[q] = -quat[q] return quat
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def vis_bbox(im, dets): """Visual debugging of detections.""" for i in range(dets.shape[0]): bbox = tuple(int(np.round(x)) for x in dets[i, :4]) # class_name = CLASS_NAME[int(dets[i, 4]) - 1] class_name = ' ' score = 0.99 cv2.rectangle(im, bbox[0:2], bbox[2:4], (0, 204, 0...
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def parse_record1(raw_record): """Parse raw record and return it as a set of unique symbols without \n""" return set(raw_record) - {"\n"}
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def test_config_start_no_api(test_microvm_with_ssh, vm_config_file): """Test microvm start when API server thread is disabled.""" test_microvm = test_microvm_with_ssh log_fifo_path = os.path.join(test_microvm.path, 'log_fifo') metrics_fifo_path = os.path.join(test_microvm.path, 'metrics_fifo') log_...
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def execute_contract_creation( laser_evm, contract_initialization_code, contract_name=None ) -> Account: """ Executes a contract creation transaction from all open states""" # TODO: Resolve circular import between .transaction and ..svm to import LaserEVM here open_states = laser_evm.open_states[:] ...
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def isValid(text): """ Returns True if the input is related to the meaning of life. Arguments: text -- user-input, typically transcribed speech """ return bool(re.search(r'\byour awesome\b', text, re.IGNORECASE))
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def list_shared_with(uri, async_req=False): """Return array sharing policies""" (namespace, array_name) = split_uri(uri) api_instance = client.client.array_api try: return api_instance.get_array_sharing_policies( namespace=namespace, array=array_name, async_req=async_req ) ...
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def format_html_data_table(dataframe, list_of_malformed, addLineBreak=False): """ Returns the predicted values as the data table """ if list_of_malformed: list_of_malformed = str(list_of_malformed) else: list_of_malformed = "None" # format numeric data into string format for...
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def colorDistance(col1, col2): """Returns a number between 0 and root(3) stating how similar two colours are - distance in r,g,b, space. Only used to find names for things.""" return math.sqrt( (col1.red - col2.red)**2 + (col1.green - col2.green)**2 + (col1.bl...
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def combine_from_streaming(stream: Iterable[runtime_pb2.Tensor]) -> runtime_pb2.Tensor: """ Restore a result of split_into_chunks into a single serialized tensor """ stream = iter(stream) first_chunk = next(stream) serialized_tensor = runtime_pb2.Tensor() serialized_tensor.CopyFrom(first_chunk) ...
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def portageq_envvar(options, out, err): """ return configuration defined variables. Use envvar2 instead, this will be removed. """ return env_var.function(options, out, err)
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def create_hash_factory(hashfun, complex_types=False, universe_size=None): """Create a function to make hash functions :param hashfun: hash function to use :type hashfun: callable :param complex_types: whether hash function supports hashing of complex types, either through nat...
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def testParamXMLFile(): """ @tests: ParamXMLFile.__init__ ParamXMLFile.load ParamXMLFile.store """ fh = pyopenms.ParamXMLFile() p = pyopenms.Param() fh.store(b"test.ini", p) fh.load(b"test.ini", p)
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def estimate_key(note_info, method="krumhansl", *args, **kwargs): """ Estimate key of a piece by comparing the pitch statistics of the note array to key profiles [2]_, [3]_. Parameters ---------- note_info : structured array, `Part` or `PerformedPart` Note information as a `Part` or `Pe...
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def print_parsable_dstip(data, srcip, dstip): """Returns a parsable data line for the destination data. :param data: the data source :type data: dictionary :param scrip: the source ip :type srcip: string :param dstip: the destination ip :type dstip: string :return: a line of urls and their hitcount "...
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def OrListSelector(*selectors) -> pyrosetta.rosetta.core.select.residue_selector.OrResidueSelector: """ OrResidueSelector but 2+ (not a class, but returns a Or :param selectors: :return: """ sele = pyrosetta.rosetta.core.select.residue_selector.FalseResidueSelector() for subsele in selec...
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def plot_regress_exog(res, exog_idx, exog_name='', fig=None): """Plot regression results against one regressor. This plots four graphs in a 2 by 2 figure: 'endog versus exog', 'residuals versus exog', 'fitted versus exog' and 'fitted plus residual versus exog' Parameters ---------- res : r...
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def capture_output(output=None): """Temporarily redirect stdout into a string buffer.""" if output is None: output = StringIO() try: setup_redirect(output) yield output finally: reset_redirect()
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def get_circles_with_admin_access(account_id: int) -> List[Circle]: """ SELECT management_style, c_name FROM ( SELECT 'SELF_ADMIN' AS management_style, c.management_style AS c_management_style, c.admin_circle AS c_admin_circle, ...
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def combine(arr): """ makes overlapping sequences 1 sequence """ def first(item): return item[0] def second(item): return item[1] if len(arr) == 0 or len(arr) == 1: return arr sarr = [] for c, val in enumerate(arr): sarr.append((val[0], val[1], c)) ...
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def sub_fft(f_fft, g_fft): """Substraction of two polynomials (FFT representation).""" return sub(f_fft, g_fft)
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def recursive_fill_fields(input, output): """ Fills fields from output with fields from input, with support for nested structures. Parameters ---------- input : ndarray Input array. output : ndarray Output array. Notes ----- * `output` should be at least the sam...
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def create_demo(): """ Create project cli demo """ typer.secho( "Welcome to flybirds cli. Please enter any information to continue.", fg=typer.colors.MAGENTA, ) user_dict = { 'device_id': "127.0.0.1:8200", 'package_name': "ctrip.android.view", 'web_driver_...
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def load_parameters(model_type, parameter_file): """ Loads in all parameter values given in a parameter file. Parameters: model_type (str): sets the type of model, which determines the exact parameter set that is needed. Possible values for the parameter mode...
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def handle_dat_edge(data_all): """ 把dat_edge个每一条记录的info拆开,然后输出,方便后续的计算 为了简化计算,忽略时间信息,把所有的月份的联系记录汇总起来 """ def cal_multi_3(string): s = string.split(',') month_times = len(s) df = list(map(lambda x: list(map(eval, x.split(':')[1].split('_'))), s)) times_sum, weight_sum ...
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def quadraric_distortion_scale(distortion_coefficient, r_squared): """Calculates a quadratic distortion factor given squared radii. The distortion factor is 1.0 + `distortion_coefficient` * `r_squared`. When `distortion_coefficient` is negative (barrel distortion), the distorted radius is only monotonically in...
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def convert_pdf_to_png(source, target): """ Wrapper for the ImageMagick convert utility. :param source: Source file in PDF format. :type source: str :param target: Output file in PNG format. :type target: str """ assert os.path.exists(source), "Source file does not exist: %s" % source ...
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def run(executable: str, *args: str): """ Run executable using core.process configuration, replacing bin with configured one, appending and prepending args. """ command_list = effective_command(executable, *args) process = subprocess.run(command_list, check=True, ...
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def open_path(path, **kwargs): """ Parameters ---------- path: str window: tuple e.g. ('1990-01-01','2030-01-01') kwargs: all other kwargs the particular file might take, see the module for details Returns ------- """ info = _tools.path2info(path) module = arm_prod...
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def generate_code() -> str: """Generates password reset code :return: Password reset code :rtype: str """ return str(uuid.uuid4())
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def process_file(name, files, url): """ Save file to shared folder on server, and return the name of the file. """ def allowed_file(filename): if "." not in filename: return False ext = filename.rsplit(".", 1)[1].lower() return ext in config.ALLOWED_EXTENSIONS ...
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def decode_auth_token(auth_token): """ Decodes the auth token :param auth_token: :return: integer|string """ try: payload = jwt.decode(auth_token, app.config.get('SECRET_KEY')) return payload['sub'] except jwt.ExpiredSignatureError: return 'Signature expired. Please log in again.' except jwt...
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def cached(path: str, validate: bool = False): """Similar to ``define``, but cache to a file. :param path: the path of the cache file to use :param validate: if `True`, always execute the function. The loaded result will be passed to the function, when the cache exists. In that case...
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def json(*arguments): """ Transform *arguments parameters into JSON. """ return ast.Json(*arguments)
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def get_default_volume_size(): """ :returns int: the default volume size (in bytes) supported by the backend the acceptance tests are using. """ default_volume_size = environ.get("FLOCKER_ACCEPTANCE_DEFAULT_VOLUME_SIZE") if default_volume_size is None: raise SkipTest( "Se...
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def set_global_user(**decorator_kwargs): """ Wrap a Flask blueprint view function to set the global user ``flask.g.user`` to an instance of ``CurrentUser``, according to the information from the JWT in the request headers. The validation will also set the current token. This requires a flask ap...
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def teleport(targets: selector, destination: Union[selector, AbsPos, RelPos, LocPos, CurrentPos], facing: Union[selector, AbsPos, RelPos, LocPos, CurrentPos] = None, facing_type: container_type = container_type.entity): """ Args: targets (selector): The targets to teleport destination (Union[sel...
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def create_game_directory(gamedir, template, setting_dict=None): """ Initialize a new game directory named dirname at the current path. This means copying the template directory from muddery's root. """ def copy_tree(source, destination): """ copy file tree """ ...
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def test_ts_ground_elements_surfaces(): """Check timeseries ground elements are created correctly""" # Create timeseries coords gnd_element_coords = TsLineCoords.from_array( np.array([[[-1, -1], [0, 0]], [[1, 1], [0, 0]]])) pt_coords_1 = TsPointCoords.from_array(np.array([[-0.5, -1], [0, 0]])) ...
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def async_register_implementation( hass: HomeAssistant, domain: str, implementation: AbstractOAuth2Implementation ) -> None: """Register an OAuth2 flow implementation for an integration.""" if isinstance(implementation, LocalOAuth2Implementation) and not hass.data.get( DATA_VIEW_REGISTERED, False ...
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def showIntroScreen(screenSurf, p1name, p2name): """This is the screen that plays if the user selected "view intro" from the starting screen.""" screenSurf.fill(SKY_COLOR) drawText('P y t h o n G O R I L L A S', screenSurf, SCR_WIDTH / 2, 15, WHITE_COLOR, SKY_COLOR, pos='center') drawTex...
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def sample_wfreq(sample): """Return the Weekly Washing Frequency as a number.""" # `sample[3:]` strips the `BB_` prefix results = session.query(Samples_Metadata.WFREQ).\ filter(Samples_Metadata.SAMPLEID == sample[3:]).all() wfreq = np.ravel(results) # Return only the first integer value fo...
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def generate_static_sku_detail_html(sku_id): """ 生成静态商品详情页 :param sku_id: 商品sku id :return: """ categories = get_categories() # 获取商品sku规格 sku = SKU.objects.get(id=sku_id) goods = sku.goods sku_specs = sku.skuspecification_set.all().order_by('spec_id') sku_key = list() f...
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def setup_shed_tools_for_test(app, tmpdir, testing_migrated_tools, testing_installed_tools): """Modify Galaxy app's toolbox for migrated or installed tool tests.""" if testing_installed_tools: # TODO: Do this without modifying app - that is a pretty violation # of Galaxy's abstraction - we shoul...
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def OffsiteRestore( source_dir, encryption_password=None, dir_substitution=None, display_only=False, ssd=False, output_stream=sys.stdout, preserve_ansi_escape_sequences=False, ): """\ Restores content created by previous Offsite backups. """ dir_substitutions = ...
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def speak_google(text, filename, model): """Synthesizes speech from the input string of text.""" from google.cloud import texttospeech client = texttospeech.TextToSpeechClient() input_text = texttospeech.types.SynthesisInput(text=text) # Note: the voice can also be specified by name. # Names o...
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def mlp_hyperparameter_tuning(no_of_hidden_neurons, epoch, alpha, roh, n_iter_no_change, X_train, X_validation, y_train, y_validation): """ INPUT no_of_hidden_neurons: 1D int arary contains different values of no of neurons present in 1st hidden layer (hyperparameter) epoch: ...
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def setup_work_directory(work_dir, text_file): """Set up a temporary working directory.""" me = os.path.realpath(__file__) my_dir = os.path.dirname(me) file_src = os.path.join(TEX_FILE, text_file) file_dst = os.path.join(work_dir, text_file) shutil.copyfile(file_src, file_dst) # copy static ...
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def play(p1:list[int], p2:list[int]) -> list[int]: """Gets the final hand of the winning player""" while p1 and p2: a = p1.pop(0) b = p2.pop(0) if a > b: p1 += [a, b] else: p2 += [b, a] return p1 + p2
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def oda_update_uhf(dFs, dDs, dE): """ ODA update: lbd = 0.5 - dE / E_deriv """ if type(dFs) is not list: raise Exception("arg1 and arg2 are list of alpha/beta matrices.") E_deriv = np.sum(dFs[0] * dDs[0] + dFs[1] * dDs[1]) lbd = 0.5 * (1. - dE / E_deriv) if lbd < 0 or lbd > 1...
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def authorize(*roles): """Decorator that authorizes (or not) the current user Raises an exception if the current user does not have at least one of the listed roles. """ def wrapper(func): """wraps the protected function""" def authorize_and_call(*args, **kwargs): """che...
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def trunked_greedy_by_size_offset_calculation(usage_recorders, show_detail=False): """ An offset calculation algorithm designed for variable-length inputs. @ params: usage_recorders : tensor usage recoders (name, start_op, end_op, size) global trunk_size...
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def main(): """ A program to strip a string of punctuation and reverse it :return: None """ in_string = "Enter a string's text here, to test the string!" converted_string = clean_string_to_list(in_string) reversed_list = reverse(converted_string) print(in_string) print(" ".join(reve...
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def decrypt(secret, ciphertext): """Given the first 16 bytes of splunk.secret, decrypt a Splunk password""" plaintext = None if ciphertext.startswith("$1$"): ciphertext = base64.b64decode(ciphertext[3:]) key = secret[:16] algorithm = algorithms.ARC4(key) cipher = Cipher(algo...
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def load_skeleton(path): """ Load the skeleton from a pickle """ # Delayed import so script can be run with both Python 2 and 3 from unet_core.vessel_analysis import VesselTree v = VesselTree() v.load_skeleton(path) return v.skeleton
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def industries_hierarchy() -> pd.DataFrame: """Read the Dow Jones Industry hierarchy CSV file. Reads the Dow Jones Industry hierarchy CSV file and returns its content as a Pandas DataFrame. The root node has the fcode `indroot` and an empty parent. Returns ------- DataFrame : A Pandas Data...
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def ready(): """ A readiness endpoint, checks on DB health too. :return: a 200 OK status if this server is up, and the backing DB is ready too; otherwise, a 503 "Temporarily unavailable." """ try: # TODO: Move to a DAO class client = get_mongo_client() info = {} ...
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def er_to_file(db_cfg, fetch_sql, tbl_names, head_row, file_path): """ 保存oracle中指定的ER到doc文件。 :param db_cfg: dict 连接oracle的配置信息 :param fetch_sql: str 查询ER结构的语句 :param tbl_names: list 要导出ER表的表名称 :param head_row: list 表格标题行内容 :param file_path: str ER保存到的xlsx文件 ...
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def setup_callback(callback: typing.Awaitable): """ This function is used to setup the callback. """ callback.is_guild = False """ The guild of the callback. """ callback.has_permissions = [] """ The permissions of the callback. """ callback.has_roles = [] """ The roles of the...
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def print_err(txt, include_moment=True): """Red collor print. Include time optional.""" print '\033[31m {} {} \n'.format(txt, str(datetime.now()) if include_moment else '')
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def prepare_for_training(ds, ds_name, conf, cache): """ Cache -> shuffle -> repeat -> augment -> batch -> prefetch """ AUTOTUNE = tf.data.experimental.AUTOTUNE # Resample dataset. NB: dataset is cached in resamler if conf["resample"] and 'train' in ds_name: ds = oversample(ds, ds_na...
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def residual3d(inp, is_training, relu_after=True, add_bn=True, name=None, reuse=None): """ 3d equivalent to 2d residual layer Args: inp (tensor[batch_size, d, h, w, channels]): is_training (tensor[bool]): relu_after (bool): add_bn (bool): add b...
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def check_letters_presence(word_generator, available_letters): """ check that the allowed characters actually occur; since the generation is random, there is always a chance that it didn't occur for the words finite amount of words generated; try N times such that the chance for any false positive is < 0.001 (0....
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def marks(family, glyph): """ :param family: :param glyph: :return: True when glyph has at least one anchor """ has_mark_anchor = False for anchor in glyph.anchors: if anchor.name: if anchor.name.startswith("_"): has_mark_anchor = True brea...
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def generate_bom(pcb_modules, config, extra_data): # type: (list, Config, dict) -> dict """ Generate BOM from pcb layout. :param pcb_modules: list of modules on the pcb :param config: Config object :param extra_data: Extra fields data :return: dict of BOM tables (qty, value, footprint, refs)...
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def make_wrapper_script(cmd): """Create a wrapper that runs the specified command locally and pauses.""" if os.name == 'nt': template, ext = '@{exe}\n@pause', '.bat' else: # https://stackoverflow.com/questions/24016046/ # Needs testing! template = '{exe}\necho "Press any key ...
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def _GetSharedLibraryInHost(soname, sosize, dirs): """Find a shared library by name in a list of directories. Args: soname: library name (e.g. libfoo.so) sosize: library file size to match. dirs: list of directories to look for the corresponding file. Returns: host library path if found, or None ...
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def check_n_jobs(n_jobs: int) -> int: """Check `n_jobs` parameter according to the scikit-learn convention. Parameters ---------- n_jobs : int, positive or -1 The number of jobs for parallelization. Returns ------- n_jobs : int Checked number of jobs. """ # scikit-l...
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def test_skip_banner(mock_organizer_init): """Test the Organizer.skip_banner() function Arguments: mock_organizer_init: patched to not perform constructor """ # Create an Organizer: skip_banner and set_metasploit_globals are patched organizer = Organizer(planner=None, mode="system", minimum_...
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def write_itk_image(image, path): """Write an itk image to a path. Parameters ---------- image : itk image or np.ndarray Image to be written. path : str Path where the image should be written to. """ if isinstance(image, np.ndarray): image = make_itk_image(image) ...
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