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def _create_issue_body(command: str) -> str: """Generate a Github issue body based on given exception and command. Args: command: The command causing the exception to get thrown, e.g. 'django-cloud-deploy new'. Returns: Github issue body in string. """ template_env = ji...
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def saturated_vapour_pressure_inst(t_air_i): """Like :func:`saturated_vapour_pressure` but as an instantaneous value Parameters ---------- t_air_i : float instantaneous air temperature :math:`T_{a,i}` [C] Returns ------- svp_i : float instantaneous saturated...
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def test_read_nonexisting_xmlfile_novalidator(): """ Test reading an xml file from not available path without storing the results from the validation process """ # Setup the_xml_filename = "aecg/data/nonexisting.xml" the_zip_container = "" aecg_schema_filename = "aecg/data/hl7/2003-12 Sc...
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def main(): """ This application creates and starts the server for both the RPC routes handled by opentrons.server.rpc and HTTP endpoints defined here """ log_init() arg_parser = ArgumentParser( description="Opentrons application server", prog="opentrons.server.main" ) a...
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def histogram_degree(file, dmin, dmax): """ Renvoie l'histgramme du nombre de protéine de certains degré suivant des bornes indiquées :param file: tableau contenant un graphe :type file: dataframe :param dmin: degré minimal :type dmin: int :param dmax: degré maximal :type dmax: int :...
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def format_timestamp_range( timestamp_range: Tuple[int, int], timestamp_unit: Optional[str], timestamp_format: Optional[str] ) -> str: """ Format a time range with unit. :param timestamp_range: range of timestamps :param timestamp_unit: timestamp unit, can be: formatted_timestam...
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def make_eeg_average_ref_proj(info, activate=True, verbose=None): """Create an EEG average reference SSP projection vector Parameters ---------- info : dict Measurement info. activate : bool If True projections are activated. verbose : bool, str, int, or None If not None...
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def generate_degree2_invariants_from_different(coeffs1, coeffs2): """ Generate degree 2 invariants from density projection coefficients. Parameters ---------- coeffs1 : array[num_envs, num_species, nmax1, (lmax+1)**2] Density projection coefficients. This could include the spherical ...
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def ts_css(text): """applies nice css to the type string""" return '<span class="ts">%s</span>' % text
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def PG(Date, Radiosonde_Flight_Num, LaunchTime, Window=1): """Plots the potential gradient from the RUAO +- 1 hour around launch time. Parameters ---------- Date : datetime object The datetime you want to start collecting the data from. Should have the format datetime(%Y, %m, %d, %H) where %H can be either 0...
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def noop(val: typing.Any, *_args, **_kwargs) -> typing.Any: """A function does nothing. >>> noop(1) 1 """ return val
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def consolidate_mouse_probes(data_containers, filename_or_fileobj, object_name='mouse_data_frame', poobah_column='poobah_pval', poobah_sig=0.05): """ ILLUMINA_MOUSE specific probes (starting with 'rp' for repeat sequence or 'mu' for murine) stored as data_container.mouse_data_frame. saves as a dataframe ju...
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def method_detect(method: str): """Detects which method to use and returns its object""" if method in POSTPROCESS_METHODS: if method == "rtb-bnb": return RemovingTooTransparentBordersHardAndBlurringHardBorders() elif method == "rtb-bnb2": return RemovingTooTransparentBord...
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def normalized_difference(): """ Returns class instance of `NormalizedDifference`. For more details, please have a look at the implementations inside `NormalizedDifference`. Returns ------- NormalizedDifference : Class instance implementing all 'normalized_difference' processes. ""...
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def detect_event_no_plot(VLMuscle, VRMuscle, Time, Threshold): """ This function calculates the start, end and duration of swimming episode, as defined by a threshold. Does not plot the result :param VLMuscle: list or 1-D numpy array :param VRMuscle: list or 1-D numpy array :param Time: list or...
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def test_rock(): """Test module rock.py by downloading rock.csv and testing shape of extracted data has 48 rows and 4 columns """ test_path = tempfile.mkdtemp() x_train, metadata = rock(test_path) try: assert x_train.shape == (48, 4) except: shutil.rmtree(test_path) raise()
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def build_dgl_graph_v15(nodes, edges, sent_nodes): """ Build DGL homogeneous graph based on New Graph structure. 1112: checked graph through visualisation 1116: qo_node feature: [-10, opt id] 1201: hotpotQA, store node separately and combine """ # split entity nodes and q_opt nodes entit...
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def get_large_rand_ary_tfrecord(n_samples=100000, n_features=2000, dtype=np.float32): """ Args: n_samples (int) n_features (int) Returns: str: tfrecord data folder for training str: tfrecord data path for prediction (finally generating embedding) dict: {} """ X = get_rand_ary(n_samples, n_features...
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def entropy_bubble(signal, delay=1, dimension=3, alpha=2, **kwargs): """**Bubble Entropy (BubblEn)** Introduced by Manis et al. (2017) with the goal of being independent of parameters such as *Tolerance* and *Dimension*. Bubble Entropy is based on :func:`permutation entropy <entropy_permutation>`, but ...
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def test_get_nonexistent_dataset(): """Unit test for trying to fetch a nonexistent dataset""" response = client.get(f"{PREFIX}/datasets/daflkadsjflkajdflkadfadadfadsfad") assert response.status_code == 404
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async def test_flow_import_single_instance_allowed(hass: HomeAssistant) -> None: """Test import step single instance allowed.""" entry = MockConfigEntry(domain=DOMAIN, data=CONF_DATA) entry.add_to_hass(hass) with patch_config_flow_tautulli(AsyncMock()): result = await hass.config_entries.flow.a...
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def delete_transform_from_nodes(nodes): """ Deletes the dag object transform node found from the given nodes :param shape: nodes names :type shape: list """ for node in nodes: try: shape = [x for x in cmds.listHistory(node, future=True) if x not in cmds.lis...
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def open_set(dataset_class: ClassVar, public_classes: Sequence[str], private_classes: Optional[Sequence[str]] = ()) -> ClassVar: """ Convert a dataset into its open-set version. In other words, those samples which doesn't belong to `private_classes` will be marked as "unknown". Be aware th...
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def generate_random_string(length, using_digits=False, using_ascii_letters=False, using_punctuation=False): """ Example: opting out for 50 symbol-long, [a-z][A-Z][0-9] string would yield log_2((26+26+50)^50) ~= 334 ...
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def get_blocking_times_of_all_states_using_direct_approach( lambda_1, mu, num_of_servers, threshold, system_capacity, buffer_capacity ): """Solve M*X = b using numpy.linalg.solve() where: M = The array containing the coefficients of all b(u,v) equations b = Vector of constants of equations ...
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def create_read_only_text(title: str, example: str, value: str, layout: QLayout) -> QLineEdit: """ Creates and returns a read-only one-line text widget (QLineEdit) with the given title, example contents and value in the given layout. """ widget = create_text(title, example, value, layout) widget...
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def find_lane_pixels_around_poly(binary_warped, left_fit, right_fit, margin = 100): """ Returns the pixel coordinates contained within a margin from left and right polynomial fits. Left and right fits shoud be from the previous frame. PARAMETER * margin: width around the polynomial fit """ #...
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def log_softmax_v2(logits, axis=None, name=None): """Computes log softmax activations. For each batch `i` and class `j` we have logsoftmax = logits - log(reduce_sum(exp(logits), axis)) Args: logits: A non-empty `Tensor`. Must be one of the following types: `half`, `float32`, `float64`. axis...
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def start_nsfocus_loophole_spider(): """ 爬取freebuf漏洞 :return: """ os.system("scrapy crawl nsfocus_loophole_spider -s JSONFILE_BASEDIR=D:/data/mmscrapy/nsfocus")
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def graphs_tuple_to_broadcasted_sharded_graphs_tuple( graphs_tuple: jraph.GraphsTuple, num_shards: int) -> ShardedEdgesGraphsTuple: """Converts a `GraphsTuple` to a `ShardedEdgesGraphsTuple` to use with `pmap`. For a given number of shards this will compute device-local edge and graph attributes, and add...
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def apply_reflection(reflection_name, coordinate): """ Given a reflection type and a canonical coordinate, applies the reflection and describes a circuit which enacts the reflection + a global phase shift. """ reflection_scalars, reflection_phase_shift, source_reflection_gates = reflection_options[ ...
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def _get_vcpus_from_pricing_file(instance_type): """ Read pricing file and get number of vcpus for the given instance type. :param instance_type: the instance type to search for. :return: the number of vcpus or -1 if the instance type cannot be found """ with open(pricing_file) as f: in...
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def route_from_text(obj, route): """ Recursive function to look for the requested object :param obj: :param route: :return: """ _LOG.debug(f'Looking for {route} in {obj}') if len(route) > 1 and ':' in route[0]: _LOG.debug('Is a dictionary nested inside a list') res = [d f...
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def rot_mol(rot, struct, wrt="origin", degrees=True, seq="xyz"): """ Rotate molecule using rotation matrix. Arguments --------- rot: array Can be either a list of 3 euler angles in the given order or a 3,3 rotation matrix. wrt: str Rotation performed with respect...
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def list_tags_for_resource(ResourceArn=None): """ Gets the set of key-value pairs (metadata) that are used to manage the resource. See also: AWS API Documentation Exceptions :example: response = client.list_tags_for_resource( ResourceArn='string' ) :type ResourceA...
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async def _send_multipart(data: Dict[str, str], boundary: str, headers: HeadersType, chunk_size: int = _CHUNK_SIZE) -> bytes: """Send multipart data by streaming.""" # TODO: precalculate body size and stream request, precalculate file sizes by os.path.getsize ...
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def fit_naive_bayes_model(matrix, labels): """Fit a naive bayes model. This function should fit a Naive Bayes model given a training matrix and labels. The function should return the state of that model. Feel free to use whatever datatype you wish for the state of the model. Args: matrix...
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def get_checkBox_entry(checkBox: etree._Element) -> str: """Create text representation for a checkBox element. :param checkBox: a checkBox xml element :returns: 1. attempt to get ``checked.w:val`` and return "\u2610" or "\u2612" 2. attempt to get ``default.w:val`` and return "\u2610" or "\u...
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def test_read_json_param_and_implement_reform(reform_file, set_year): """ Test reading and translation of reform file into a reform dictionary that is then used to call implement_reform method. NOTE: implement_reform called when policy.current_year == policy.start_year """ policy = Policy() ...
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def assert_lamson_settings(func): """Used to make sure that the func has been setup by a routing decorator.""" assert has_lamson_settings(func), "Function %s has not be setup with a @route first." % func.__name__
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def use_scratch_dir(original_wf, scratch_dir): """ For all RunVaspCustodian tasks, add the desired scratch dir. Args: original_wf (Workflow) scratch_dir (path): Path to the scratch dir to use. Supports env_chk Returns: Workflow """ for idx_fw, idx_t in get_fws_and_tasks(...
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def Regression_plot(df,column=''): """Regression plot: with pearsonr correlation value """ cor = round(df[['SalePrice',column]].corr().iloc[0,1], 3) sns.jointplot(x= df[column], y = df['SalePrice'], kind= 'reg', label = 'r: '+str(cor),color='blue') plt.legend() #plt.title('Regressi...
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def infer_tests_wrapper( weight_path: str, model_name: str, dataset: COCO_Dataset, test_name: str, handler_constructor: type, data_dump_dir: str=None, video_dump_dir: str=None, img_dump_dir: str=None, skip_if_data_dump_exists: bool=False, show_preview: bool=False, show_pbar: bool=True ): """...
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def auto_peak_finder(prominence, x_data, y_data): """ automatic peak finding routine which finds peaks given a user supplied prominence, and presents the peaks until user is happy :param prominence: height from noise to tip of peaks :param x_data: x_data as np array :param y_data: y_data a...
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def dataframe_reg_as_panel(df,against='index',regfunc='OLS'): """ Perform regression for each of the columns of the dataframe, and return the regression result as panel. Parameters: ----------- against: the variable used as the independent variable in the regression, default is the ...
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def serve_pyr(name, url, root_path, config='config.ini'): """Serve the Pyramid app locally in a separate thread that forks a subprocess that invokes the pserve executable. Return a function that stops serving the Pyramid app. """ process = _fork_server_process(url, root_path, config=config) thre...
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def order_line_needs_automatic_fulfillment(line_data: OrderLineInfo) -> bool: """Check if given line is digital and should be automatically fulfilled.""" digital_content_settings = get_default_digital_content_settings() default_automatic_fulfillment = digital_content_settings["automatic_fulfillment"] co...
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def docker_setup(project_path: str) -> bool: """ Tries to find evidence of a docker setup in the project. """ _file_names = ['[Dd]ockerfile', '[Dd]ocker-compose.yml'] for name in _file_names: _findings = search_filename( base_folder=project_path, file_name=name, ...
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def prac_q_count(year, month, day, hour, qtemplate): """ Fetch the practice count for the given time/qtemplate or return False if not found. Can be used when deciding if to INSERT or UPDATE. Note: may return 0 if count is zero, is not same as not exist (False) """ sql = """SELECT "qtemplate"...
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def do_graph(clustering,num_elems_of_traj_2,std_deviations,filename): """ """ graph = digraph() labels = populate_nodes_with_labels(clustering, num_elems_of_traj_2,std_deviations, graph) prob_matrix = calculate_probability_matrix(clustering) add_graph_edges(graph,labels,clustering,prob_matrix) ...
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def get_headers(gargs): """Get the required headers. """ headers = { 'Content-type': 'application/json' } if gargs.no_passwd: return headers if gargs.passwdfile is not None: passwd = open(gargs.passwdfile, "r").read().strip() auth_str = "%s:%s" % (gargs.user, passwd...
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def CSVLogRead(CSVFile): """Esta funcao lee o Log da imagem""" global UserNameTypeList UserNameTypeList = [] if os.path.exists(ActImagesFolder + '/' + LogFolder) == False: os.mkdir(ActImagesFolder + '/' + LogFolder) if os.path.isfile(CSVFile) == True: with open(CSVFile, 'rb') as f...
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def highest_prob_class(y_predicted: torch.Tensor, y_true: torch.Tensor, **kwargs) -> _TensorOrTensors: """ Get the index of class with highest probability. """ y_predicted = y_predicted.max(dim=-1)[1] assert y_true.shape == y_predicted.shape return y_predicted, y_true
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def vectorized_local_axes(three_atoms_coords): """ Takes as an argument a Nx3x3 block of reference atom coordinates to construct N local axes systems (Nx3x3) """ u12 = vectorized_unit_vector(three_atoms_coords[:, [0,1], :]) u23 = vectorized_unit_vector(three_atoms_coords[:, [1,2], :]) if np.any(...
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def _makedirs_recursive(path, mode): """Recursive part of makedirs. Calls itself to ensure head of path exists, and then makes a new directory at path. Returns an Exception if it can't make a directory at path.""" if os.path.isdir(path): return head, tail = os.path.split(path) if not tail: head, tail = os.path....
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def set_option(option, value): """Set a single option using the flat format, i.e ``section.option`` Parameters ---------- option: str Option name in the ``section.option`` format value: Value to set Example ------- .. ipython:: python @suppress from xoa...
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def dict_to_capabilities(caps_dict): """Convert a dictionary into a string with the capabilities syntax.""" return ','.join("%s:%s" % tpl for tpl in caps_dict.items())
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async def reverse_all_ips_in_range(iprange: str, callback: Callable, nameservers: Optional[List[str]] = None) -> None: """ Reverse all the IPs stored in a network range. All the queries are made concurrently. Parameters ---------- iprange: str. An IPv4 range formated as 'x.x.x.x/y'. ...
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def delta(flag, F, K, t, r, sigma): """Returns the Black delta of an option. :param flag: 'c' or 'p' for call or put. :type flag: str :param F: underlying futures price :type F: float :param K: strike price :type K: float :param t: time to expiration in years :type t: floa...
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def main(X, Y, X0, Y0, depth, omegaX, omegaY, omegaZ, ax, ay, az, opening, nu, verbose=False): """ Test CDM with test input parameters X0, Y0, depth: define the position of the dislocation omegaX, omegaY, omegaZ: define the orientation (clockwise rotations) of the dislocation ax, ay, az: define the ...
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def snapshot_cmd(jail, name): """Get a list of jails and print the property.""" lgr = logging.getLogger('ioc_cli_snapshot') jails, paths = IOCList("uuid").list_datasets() pool = IOCJson().json_get_value("pool") date = datetime.utcnow().strftime("%F_%T") _jail = {tag: uuid for (tag, uuid) in ja...
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def extend_view(response, fetch_page_data, fetch_multimedia, raise_errors): """ Extends view query results with pronunciation URLs, multimedia URLs, and extended hanja information by scraping the dictionary website. This function modifies the response in-place, and returns the modified object. See ...
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def mean(vector): """ Calculates the arithmetic mean of the given vector. Args: ----- vector : list A non-empty list/array of numbers to be averaged. Returns: -------- mean : float The arithmetic mean of the given vector. """ return sum(vector) /...
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def main(): """ Composes a BLAST command from a (DataTable) AJAX request, forwarded from molmod endpoint /blast_run, and executes the command using subprocess. """ # # Format the BLAST command - return an error if the input form is missing # required values. # try: form = r...
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def get_hamming_window(w, h, rot, sx, sy, out_size_w, out_size_h): """ A hamming window map :param w: init ellipse w :param h: init ellipse h :param rot: rotation angle(rad) :param sx: center x coordinate of the window :param sy: center y-coordinate of the window :param out_size_w: outpu...
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def IsStrip(topology): # real signature unknown; restored from __doc__ """ IsStrip(topology) Check whether or not this is a strip-type topology. :param Topology t: The topology to check. :return: ``True`` if it describes a strip topology, ``False`` for a list. :rtype: ``bool`` """ ...
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def main( context, subject, debug, no_colors, repo, dolist, update, min_score, search_score): """ Eh is a terminal program that will provide you with quick reminders about a subject. To get started run: eh help To figure out what eh knows about run: eh list To update the list ...
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def reconstructimage(lpyramid, f): """ Reconstruct image from Laplacian pyramid Args: lpyramid: Laplacian pyramid f: 2d filter kernel Returns: Reconstructed image as (H, W) np.array clipped to [0, 1] """ # # You code here # lpyramid_flip = np.flip(lpyramid) g...
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def parse_findings(output_file, scanner): """ Parse findings (code from dusty 1.0) """ log.debug("Parsing findings") nscan = parse(output_file) root = nscan.getroot() # Check validity if "nmaprun" not in root.tag: log.error("Exception during Nmap findings processing: invalid XML file") ...
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def convert_to_pressure_levels(mv, plevs, dataset, var, season): """ Given either test or reference data with a z-axis, convert to the desired pressure levels. """ mv_plv = mv.getLevel() # var(time,lev,lon,lat) convert from hybrid level to pressure if mv_plv.long_name.lower().find('hybrid') ...
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def verify_all_steps_command_alignment(layout, links_dict): """ <Purpose> Iteratively checks if all expected commands as defined in the Steps of a Layout align with the actual commands as recorded in the Link metadata. Note: Command alignment is a weak guarantee. Because a functionary can eas...
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def matrix2xzy_extrinsic(rotation_matrices: np.ndarray) -> np.ndarray: """ Ry(k3) @ Rz(k2) @ Rx(k1) = [[c2c3, -c1s2c3+s1s3, s1s2c3+c1s3], [s2, c1c2, -s1c2], [-c2s3, c1s2s3+s1c3, -s1s2s3+c1c3]] """ rotation_matrices = rotation_matrices.resha...
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def do_auth(): """ perform authentication using API_KEY, stores token and stored timestamp in integration context, retrieves new token when expired """ auth = demisto.getIntegrationContext() now_epoch = int(datetime.today().strftime('%s')) if ("token" in auth or "stored" in auth) and in...
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def main(): """Command line: python result_eval.py <path_to_reference_file> <path_to_candidate_file> """ if len(sys.argv) == 3: path_to_reference = sys.argv[1] path_to_candidate = sys.argv[2] else: print('Usage: result_eval.py <reference ranking> <candidate ranking>') ...
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async def write_credential_def(controller, schema_id): """ Writes Credential Definition to the ledger Parameters: ---------- controller: AriesController The aries_cloudcontroller object Schema id Returns: ------- write_cred_response :dict """ write_cred_response =...
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def guess_cloudwatch_log_group(alarm_name): """ Guess the name of the CloudWatch log group most likely to contain logs about the error. """ if alarm_name.startswith("loris-"): return "platform/loris" if alarm_name.startswith("catalogue-api-romulus"): return "ecs/catalogue_api_gw...
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def save_fig(fig: Figure, path: Union[str, Path], make_dir: bool = True, ext: str = "png", **kwargs: Any) -> None: """ Save a figure. Parameters ---------- fig Figure to save. path Path where to save the figure. If path is relative, save it under :attr:`scanpy.settings.figdir`. ...
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def optional_convert_i010_to_p010(config, idest, dest): """convert i010 to p010, but only if needed""" if dest.codec == "P010": if idest.codec == "I010": with open(dest.name, "wb") as p010_file: with open(idest.name, "rb") as i010_file: convert_i010_to_p01...
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def update_attrs(orig, keys, override): """Utility function for altering and adding the specified attributes to a particular repository rule invocation. This is used to make a rule reproducible. Args: orig: dict of actually set attributes (either explicitly or implicitly) by a particu...
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def _check_for_existing_display_name(display_name, account_number): """ check to see if a display name already exists for an account, and raise an exception if so. """ query = SystemBaseline.query.filter( SystemBaseline.account == account_number, SystemBaseline.display_name == display_n...
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def GetCreateLabelsFlag(extra_message='', labels_name='labels', validate_values=True): """Makes the base.Argument for --labels flag.""" value_type = VALUE_FORMAT_VALIDATOR if validate_values else None format_help = [KEY_FORMAT_HELP] if validate_values: format_help.append(VALUE_FORMAT...
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def unflatten(d, splitter='tuple', inverse=False): """Unflatten dict-like object. Parameters ---------- d : dict-like object The dict that will be unflattened. splitter : {'tuple', 'path', Callable} The key splitting method. If a Callable is given, the Callable will be used ...
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def toggle_state(state, should_set): """ .. deprecated:: 0.5.0 Alias of :func:`toggle_flag`""" toggle_flag(state, should_set)
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def get_mapped_to_elements(mapper): """ The mapper list contains all the element names that have been mapped to by other elements """ mapper_list = [] for element in mapper: for list_element in mapper[element]: if list_element not in mapper_list: mapper_list.a...
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def psd(time, rate, norm='leahy'): """ Returns power spectral density from a (real) time series with Leahy normalization. Args: time: array of times (evenly binned). rate: array of rate in counts/s. Kwargs: norm: Normalization (only Leahy for ...
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async def session_fetch( handle: SessionHandle, category: str, name: str, for_update: bool = False ) -> EntrySetHandle: """Fetch a row from the Store.""" category = encode_str(category) name = encode_str(name) return await do_call_async( "askar_session_fetch", handle, categor...
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def test_is_authorized_current_user_unavailable_permissions(client_request_authenticated): """ gets a value indicating that the current user is not authorized for given permissions. """ authorized = authorization_services.is_authorized([PERMISSION_TEST_FOUR, ...
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def login(hostname, username, password): """Login to the switch and return the console with the prompt at `#`""" try_again = True alternatives = [r'[\r\n]+.+#', "Permission denied", "[Pp]assword: *", ">", "(ibmnos-cli/iscli):*",...
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def _ComputeImageDiff(failure_image, golden_image): """Compute mask showing which pixels are different between two images.""" return (ImageChops.difference(failure_image, golden_image) .convert('L') .point(lambda i: 255 if i else 0))
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def load_pytest_conf(path, parser): """loads a ``pytestconf.py`` file and update default parser and / or tester. """ namespace = {} exec(open(path, 'rb').read(), namespace) if 'update_parser' in namespace: namespace['update_parser'](parser) return namespace.get('CustomPyTester', PyTe...
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def svn_client_import3(*args): """ svn_client_import3(svn_commit_info_t commit_info_p, char path, char url, svn_depth_t depth, svn_boolean_t no_ignore, svn_boolean_t ignore_unknown_node_types, apr_hash_t revprop_table, svn_client_ctx_t ctx, apr_pool_t pool) -> svn_error_t "...
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def labs(**kwargs): """ Change plot title, axis labels and legend titles. Parameters ---------- kwargs: A list of new names in the form aesthetic='new name', e.g. title='Plot title' or aes-name='Scale label' Returns -------- Axis label specification. Note -...
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def _filter(paths, cgroups, rgroups): """ Keep only paths with the appropriate cgroups and/or rgroups """ kept = [] for path in paths: valid_cgroup = (cgroups is None or _cname(path) in cgroups) valid_rgroup = (rgroups is None or _rname(path) in rgroups) if valid_cgroup and valid...
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def patch(target, new): """Simplified module monkey patching via context manager. Args: target: Target class or object. new: Object or value to replace the target with. """ def _import_module(target): components = target.split('.') import_path = components.pop(0) ...
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def _prepare_factor_cols(dfs: List[h2o.H2OFrame], colnames: List[str]) -> None: """Saves the original columns in the dfs as <col>_original and converts the <col> to factors. Args: dfs (list of h2o.H2OFrame): the H2O dataframes where the columns need to be changed to factors colnames (list of st...
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def _load_with_pydub(filename, audio_format): """Open compressed audio file using pydub. If a video file is passed, its audio track(s) are extracted and loaded. This function should not be called directely, use :func:`from_file` instead. :Parameters: `filename`: path to audio file. ...
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def get_storage(store: Optional[StorageEngine] = None) -> StorageEngine: """Get current storage method.""" if store is not None: return store else: if _storage_stack.top is not None: out: StorageEngine = _storage_stack.top return out else: raise Ru...
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def UniformDot(d=100, p=100, tol=1e-2): """ Let U be a random `d` x `p` matrix with i.i.d. uniform entries. Then Sigma = ``cov2corr``(U^T U) """ U = np.random.uniform(size=(d, p)) V = np.dot(U.T, U) V = cov2corr(V) return cov2corr(shift_until_PSD(V, tol=tol))
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def get_supported_eline_list(*, lines=None): """ Returns the list of the emission lines supported by ``scikit-beam`` Parameters ---------- lines : list(str) tuple or list of strings, that defines, which emission lines are going to be included in the output list (e.g. ``("K",)`` or ...
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def visualize_test(test_data_full, test_data, thetas): """ Visualize Test for Testing Results :param test_data_full: the test data set (full) with labels and data :param thetas: model parameters :return: fig """ fig, ax = plt.subplots() ax.scatter(test_data_full...
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