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def gen_certs(): """ Generate self-signed TLS certtificate """ os.mkdir("./remote/certs") cmd = 'cd ./remote/certs && openssl req -new -newkey rsa:4096 -days 365 -nodes -x509 -subj "/C=US/ST=Denial/L=Springfield/O=Dis/CN=workspace.com" -keyout cert.key -out cert.crt' subprocess.Popen(cmd, shell=Tru...
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def prune_deg_one_nodes(sampled_graph): """ prune out degree one nodes from graph """ deg_one_nodes = [] for v in sampled_graph.nodes(): if sampled_graph.degree(v) == 1: deg_one_nodes.append(v) for v in deg_one_nodes: sampled_graph.remove_node(v) return sampled_graph
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def process_all_bpch_files_in_dir(folder=None, ext_str=None): """ Process all bpch files in a given directory (Warpper of process_bpch_files_in_dir2NetCDF for *ts*bpch* and *ctm*bpch* files) folder (str): directory address for folder contain files ext_str (str): extra str to inc. in monthly fil...
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def reduce_clauses(clauses): """ Reduce a clause set by eliminating redundant clauses """ used = [] unexplored = clauses while unexplored: cl, unexplored = unexplored[0], unexplored[1:] if not subsume(used, cl) and not subsume(unexplored,cl): used.append(cl) return ...
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def get_pretrained_t2v(name, model_dir=MODEL_DIR): """ It is a good idea if you want to switch token list to vector earily. Parameters ---------- name:str select the pretrained model e.g.: d2v_all_256, d2v_sci_256, d2v_eng_256, d2v_lit_256, w2...
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def get_np_io(arr, **kwargs) -> BytesIO: """Get the numpy object as bytes. :param arr: Array-like :param kwargs: Additional kwargs to pass to :func:`numpy.save`. :return: A bytes object that can be used as a file. """ import numpy as np bio = BytesIO() np.save(bio, arr, **kwargs) b...
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def get_deep_attr(obj, keys): """ Helper for DeepKey""" cur = obj for k in keys: if isinstance(cur, Mapping) and k in cur: cur = cur[k] continue else: try: cur = getattr(cur, k) continue except AttributeError: ...
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def fork_node_item_inline_editor(item, view, pos=None) -> bool: """Text edit support for Named items.""" @transactional def update_text(text): item.subject.joinSpec = text return True def escape(): item.subject.joinSpec = join_spec subject = item.subject if not subject...
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def get_selfies_alphabet(smiles_list): """Returns a sorted list of all SELFIES tokens required to build a SELFIES string for each molecule.""" selfies_list = list(map(sf.encoder, smiles_list)) all_selfies_symbols = sf.get_alphabet_from_selfies(selfies_list) all_selfies_symbols.add('[nop]') self...
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def update_dependencies_simple(): """ Updates all parameter dependencies """ # Number of input neurons par['n_input'] = par['num_motion_tuned'] + par['num_fix_tuned'] + par['num_rule_tuned'] # General network shape par['shape'] = (par['n_input'], par['n_hidden'], par['n_output']) # If...
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def get_face_angular_dataloader(dataset_path, input_size, batch_size, num_workers, train_portion=1): """ Prepare dataset for training and evaluating pipeline Args: dataset_path (str) input_size (int) batch_size (int) num_workers (int) train_portion (float) Return: ...
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def compile_sql_numericize(element, compiler, **kw): """ Turn common number formatting into a number. use metric abbreviations, remove stuff like $, etc. """ arg, = list(element.clauses) def sql_only_numeric(text): # Returns substring of numeric values only (-, ., numbers, scientific notati...
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def run_sgd(model, epochs): """ Runs SGD for a predefined number of epochs and saves the resulting model. """ print("Training full network") weights_rand_init = model.optimize(epochs=epochs) # weights_rand_init = model.optimize(epochs=epochs, batch_size=55000, learning_rate=0.1) print("M...
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def get_all_outcome_links_for_context_courses(request_ctx, course_id, outcome_style=None, outcome_group_style=None, per_page=None, **request_kwargs): """ :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id:...
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def GetContentResourceSpec(): """Gets Content resource spec.""" return concepts.ResourceSpec( 'dataplex.projects.locations.lakes.content', resource_name='content', projectsId=concepts.DEFAULT_PROJECT_ATTRIBUTE_CONFIG, locationsId=LocationAttributeConfig(), lakesId=LakeAttributeConfig()...
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def softplus( x: oneflow._oneflow_internal.BlobDesc, name: Optional[str] = None ) -> oneflow._oneflow_internal.BlobDesc: """This operator computes the softplus value of Blob. The equation is: .. math:: out = log(e^x+1) Args: x (oneflow._oneflow_internal.BlobDesc): A Blob ...
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def test_basic_knn(alg_list, datasets, textkey="cv-basic", testname="BASIC", seed=28): """ Evaluates the algorithms specified in the datasets provided. Parameters ---------- alg_list : list The list of algorithms. Each item must be a quadruple (alg, name, key, ks, cons), where 'alg' is the...
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def diff_gcs_directories( base_directory_url: str, target_directory_url: str ) -> Tuple[List[str], List[str], List[str]]: """ Compare objects under different GCS prefixes. :param base_directory_url: URL for base directory :param target_directory_url: URL for target directory :returns: Tuple wi...
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def main(): """Run devappserver and the user's application in separate containers. The application must be started with the proper environment variables, port bindings, and volume bindings. The devappserver image runs a standalone api server. """ logging.getLogger('appstart').setLevel(logging.I...
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def load_compatible_apps(file_name: str) -> List[Product]: """Loads from file and from github and merges results""" local_list = load_installable_apps_from_file(file_name) try: github_list = load_compatible_apps_from_github() except (URLError, IOError): github_list = [] return list...
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def delete(page_id): """Delete a page.""" page = _get_page(page_id) page_name = page.name site_id = page.site_id success, event = page_service.delete_page(page.id, initiator_id=g.user.id) if not success: flash_error( gettext('Page "%(name)s" could not be deleted.', name=pa...
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async def test_config_schema(hass): """Test that config schema is imported properly.""" config = { konnected.DOMAIN: { konnected.CONF_API_HOST: "http://1.1.1.1:8888", konnected.CONF_ACCESS_TOKEN: "abcdefgh", konnected.CONF_DEVICES: [{konnected.CONF_ID: "aabbccddeeff"}...
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def save_mission(aFileName): """ Save a mission in the Waypoint file format (http://qgroundcontrol.org/mavlink/waypoint_protocol#waypoint_file_format). """ print "\nSave mission from Vehicle to file: %s" % export_mission_filename #Download mission from vehicle missionlist = downl...
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def drift_var(): """ Concept drift: 1. n_drifts 2. concept_sigmoid_spacing (None for sudden) 3. incremental [True] or gradual [False] 4. recurring [True] or non-recurring [False] """ return [(10, None, False, False), (10, 5, False, False), (10, 5, True, False)]
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def get_generators(matrix): """ Given a matrix in H-rep, gets the v-rep Turns out, the code is the same as get_inequalities, since lrs determines the directions based on the input. Left like this for readability. """ return get_inequalities(matrix)
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def num_instances(diff, flag=False): """returns the number of times the mother and daughter have pallindromic ages in their lives, given the difference in age. If flag==True, prints the details.""" daughter = 0 count = 0 while True: mother = daughter + diff if are_reversed(daught...
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def bench(args): """ Run game of life benchmarks. """ raise ConsoleError("not implemented yet")
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def get_dipy_workflows(module): """Search for DIPY workflow class. Parameters ---------- module : object module object Returns ------- l_wkflw : list of tuple This a list of tuple containing 2 elements: Worflow name, Workflow class obj Examples -------- ...
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def test_service_to_rdf_without_identifier_should_raise_error( minimal_spec: str, ) -> None: """It raises a RequiredFieldMissingError.""" with pytest.raises(RequiredFieldMissingError): catalog = Catalog() catalog.identifier = "http://example.com/catalogs/1" url = "http://example.com...
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def azel_fit(coo_ref, coo_meas, nsamp=2000, ntune=2000, target_accept=0.95, random_seed=8675309): """ Fit full az/el pointing model using PyMC3. The terms are analogous to those used by TPOINT(tm). This fit includes the eight normal terms used in `~pytelpoint.transform.azel` with additional terms, az_sigma ...
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def repository_path(relative_path: str) -> Path: """ Resolve `relative_path` relative to the root of the repository. """ return Path(os.path.join(REPOSITORY_ROOT), relative_path).resolve()
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def geojson_to_labels(geojson_dict, crs_transformer, extent=None): """Convert GeoJSON to ObjectDetectionLabels object. If extent is provided, filter out the boxes that lie "more than a little bit" outside the extent. Args: geojson_dict: dict in GeoJSON format crs_transformer: used to c...
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def processed_transcript(df): """ Cleans the Transcript table by splitting value fileds and replacing nan values, drop extra columns PARAMETERS: transcript dataframe RETURNS: Cleaned transcript dataframe """ #expand the dictionary to coulmns (reward, amount, offre...
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def _TestSuiteName(dash_json_dict): """Extracts a test suite name from Dashboard JSON. The dashboard JSON may contain a field "test_suite_name". If this is not present or it is None, the dashboard will fall back to using "benchmark_name" in the "chart_data" dict. """ name = None if dash_json_dict.get('te...
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def create_default_prior(name, default_priors_file=None): """Make a default prior for a parameter with a known name. Parameters ---------- name: str Parameter name default_priors_file: str, optional If given, a file containing the default priors. Return ------ prior: Pr...
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def set_polling_interval(duthosts, enum_rand_one_per_hwsku_frontend_hostname): """ Set CRM polling interval to 1 second """ duthost = duthosts[enum_rand_one_per_hwsku_frontend_hostname] wait_time = 2 duthost.command("crm config polling interval {}".format(CRM_POLLING_INTERVAL))["stdout"] logger.info...
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def client(): """Provide the client session used by tests.""" with app.app.test_client() as client: yield client
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def clean_data(list_in): """ Inputs: list_in - filtered list of ticket orders Outputs: Return list of tuples, each tuple contains (last name, first name, note,[tickets]) """ notes_list = [] data_out = [] for row in list_in: trimmed_row = row[row.index('Purcha...
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def adfuller( vdf, column: str, ts: str, by: list = [], p: int = 1, with_trend: bool = False, regresults: bool = False, ): """ --------------------------------------------------------------------------- Augmented Dickey Fuller test (Time Series stationarity). Parameters ---------- vdf: ...
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def get_routes_bend180( ports: Union[List[Port], Dict[str, Port]], bend: ComponentOrFactory = bend_euler, cross_section: CrossSectionFactory = strip, bend_port1: Optional[str] = None, bend_port2: Optional[str] = None, **kwargs, ) -> Routes: """Returns routes made by 180 degree bends. Ar...
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def list_datasets(github_repo="Ouranosinc/xclim-testdata", branch="main"): """Return a DataFrame listing all xclim test datasets available on the GitHub repo for the given branch. The result includes the filepath, as passed to `open_dataset`, the file size (in KB) and the html url to the file. This uses an...
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def make_layerwise_projection_unshrink(*, server_state_type, client_update_output_type, server_update_fn, server_model_fn, client_model_fn, shrink_unshrink_info): """Creates an unshrink function which ...
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def main(fasta_in, fasta_out, report): """Insert repetitive sequences into a fasta file.""" tbls = [] recs = [rec for rec in parse(fasta_in, 'fasta') if len(rec.seq) >= TENMIL] with click.progressbar(recs) as seq_recs: for rec in seq_recs: tbls.append(insert_repetitive_regions(rec)) ...
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def embed_terms(args, classes, dest, use_cache=True, path_to_json='ebd_cache.json'): """ Embeds class strings into word representations. :param args :param classes: (list of str) topic classes :param dest: (str) path to destination file :param path_to_json: (str) path to json file contai...
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def wf_paths(reachable): """ Construct all well-formed paths satisfying a given condition. The condition is as follows: all the paths have height equal to the ceiling of log_2(`reachable` + 1). `reachable` is interpreted as a bitfield, with 1 meaning that the corresponding leaf on the floor of ...
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def get_imagemodel_in_rar(rar_path, mode): """ 압축파일(rar_path)의 이미지파일의 name, width, height를 모아서 반환한다.""" image_models = [] with rarfile.RarFile(rar_path) as rf: for name in rf.namelist(): if is_hidden_or_trash(name): continue if is_extensions_allow_image(name)...
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async def test_create_new_credential(provider: SynologyAuthProvider): """Test that we create a new credential.""" credentials = await provider.async_get_or_create_credentials( { "account": "test-user", } ) assert credentials.is_new is True assert credentials.data["account...
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def run_single(i,threshold_area_fraction,death_to_birth_rate_ratio,domain_size_multiplier,return_history=False): """run a single voronoi tessellation model simulation""" rates = (DEATH_RATE,DEATH_RATE/death_to_birth_rate_ratio) rand = np.random.RandomState() history = lib.run_simulation(simulation,L,TIM...
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def matrixmult (A, B): """Matrix multiplication function This function returns the product of a matrix multiplication given two matrices. Let the dimension of the matrix A be: m by n, let the dimension of the matrix B be: p by q, multiplication will only possible if n = p, thus creating a matr...
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def TorsLattice(data = None, *args, **kwargs): """ Construct a lattice of torsion classes from various forms of input data This raises an error if the constructed lattice is not semidistributive, since the lattice of torsion classes is semidistributive. INPUT: - ``data``, ``*args``, ``**kwarg...
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def test_dupes_no_cache(mock_DirInfo): """ dupes command does populate if necessary. """ mock_DirInfo.cached.return_value.file_count = 0 with pytest.raises(SystemExit, match='0'): main() mock_DirInfo.cached.assert_called_once_with(os.path.abspath('.')) mock_DirInfo.cached.return_valu...
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def get_accumulated_report(trigger_id, mission='fermi'): """ Return the last value for each keyword on the summary page for a given trigger_id :param trigger_id: :param mission: 'fermi' or 'swift' :return: """ if 'fermi' in mission: site = fermi_grb_site elif 'swift' in mission: ...
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def sample(model, x, steps, temperature=1.0, sample=False, top_k=None): """ take a conditioning sequence of indices in x (of shape (b,t)) and predict the next token in the sequence, feeding the predictions back into the model each time. Clearly the sampling has quadratic complexity unlike an RNN tha...
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def get_numbers(number, size, *, fg=DEFAULT_FGCHARACTER, bg=DEFAULT_BGCHARACTER): """Creates a shape of numbers. Positional arguments: number - number to print. size - size of the shape. Keyword arguments: fg - foreground character. bg - background character. ...
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def load_external_data_for_model(model, base_dir): # type: (ModelProto, Text) -> None """ Loads external tensors into model @params model: ModelProto to load external data to base_dir: directory that contains external data """ for tensor in _get_all_tensors(model): if uses_external...
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def config_from_env(key, config_schema=None): """Read config from a file path in os.env. Args: key (str) : Key represents an evironment variable to read config path config_schema (trafaret): Trafaret object that defines the schema of the config. If None, then trafaret validation i...
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def to_cmyk(r: int, g: int, b: int) -> _cmyk: """ Takes RGB values 0->255 and returns their values in the CMYK namespace. https://www.rapidtables.com/convert/color/rgb-to-cmyk.html """ r, g, b = to_float(r, g, b) k = 1 - max(r, g, b) c = (1 - r - k) / (1 - k) m = (1 - g - k) / (1 -...
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def GetHostsInClusters(datacenter, clusterNames=[], connectionState=None): """ Return list of host objects from given cluster names. @param datacenter: datacenter object @type datacenter: Vim.Datacenter @param clusterNames: cluster name list @type clusterNames: string[] @param connectionSta...
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def get_gfa_targets(tiles, gfafile, faintlim=99, gaiadr="dr2"): """Returns a list of tables of GFA targets on each tile Args: tiles: table with columns TILEID, RA, DEC; or Tiles object targets: table of targets with columsn RA, DEC gaiadr: string, must be either "dr2" or "edr3" (d...
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def test_set_str_value(): """Test that a string option can have its value set""" config = Configuration() config.add_option('test', option_type=str) with pytest.raises(ConfigurationError): config.test config.test = "1" assert config.test == "1" config.test = 1 assert config.tes...
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def main(): """Entrypoint of application""" version = sb.utils.get_version() parser = argparse.ArgumentParser(description=f"Shape Bruteforce CLI v{version}") parser.add_argument("image", type=str, nargs='?', default="", help="Image to be processed") parser.add_argument("-s", "--size", default=64, ty...
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def meijerint_indefinite(f, x): """ Compute an indefinite integral of ``f`` by rewriting it as a G function. Examples ======== >>> from sympy.integrals.meijerint import meijerint_indefinite >>> from sympy import sin >>> from sympy.abc import x >>> meijerint_indefinite(sin(x), x) -c...
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def fit_size( img: IMG, size: Tuple[int, int], mode: FitSizeMode = FitSizeMode.INCLUDE, direction: FitSizeDir = FitSizeDir.CENTER, bg_color: Union[str, float, Tuple[float, ...]] = (255, 255, 255, 0), ) -> IMG: """ 调整图片到指定的大小,超出部分裁剪,不足部分设为指定颜色 :params * ``img``: 待调整的图片 * ``siz...
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def load_iot_config(ini: dict): """ """ if not verify_params(ini, 'iot', ['file', 'filedir']): return {} # Set file directory iot_params = ini['iot'] filedir = iot_params['filedir'] filedir = filedir.strip(" ") if filedir == "": # HOME directory set filedir = os...
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def test_submit_except8(mock_ssh): """ Check that jobsubmit exception is raised on generic SSH failure. """ job = { "destdir": "/path/to/destdir", "subfile": "submit.file" } mock_ssh.side_effect = exceptions.SSHError("Error", ("out", "err", 0)) mock_ssh.return_value = ("su...
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def recordDevice(*args, **kwargs): """ Starts and stops server side device recording. Returns: None """ pass
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def test_guitab_loadall(): """Confirm that the custom shell program can correctly load tab data""" test_file = Path(__file__).parent / "test_guitab_file.txt" guitab_shell = GuitabShell() guitab_shell.do_loadall(str(test_file)) assert str(guitab_shell.user_tab) == global_test_data.str_tab_file_load ...
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def supports_colour(): """ Return True if the running system's terminal supports colour, and False otherwise. Adapted from https://github.com/django/django/blob/master/django/core/management/color.py """ def vt_codes_enabled_in_windows_registry(): """ Check the Windows Registry ...
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def next_code(value: int, mul: int = 252533, div: int = 33554393) -> int: """ Returns the value of the next code given the value of the current code The first code is `20151125`. After that, each code is generated by taking the previous one, multiplying it by `252533`, and then keeping the remainder...
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def main() -> int: """Runs a program specified by command-line arguments.""" args = argument_parser().parse_args() if not args.command or args.command[0] != '--': return 1 env = os.environ.copy() # Command starts after the "--". command = args.command[1:] if args.args_file is not ...
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def read_csv_to_lol(full_path, sep=";"): """ Read csv file into lists of list. Make sure to have a empty line at the bottom """ with open(full_path, 'r') as ff: # read from CSV data = ff.readlines() # New line at the end of each line is removed data = [i.replace("\n", "") for...
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def read_experiment(path): """ Discovers CSV files an experiment produced and construct columns for the experiment's conditions from the sub-directory structure. Args: path: path to the experiment's results. Returns: pd.DataFrame """ objects = list(path.rglob('*.csv')) ...
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def single_keyword_search(keyword): """ 구글에 keyword 검색결과를 html로 받아온뒤에 그 안에 일반 게시물 분류에 속하는 class='r' 부분만 모아서 return해주는 함수 입니다. Args: Keyword (String) : 구글에 검색할 Keyword Returns: title_list (bs4.element.ResultSet) : 구글 검색에서 확인된 일반게시물(class='r')들의 모음 """ URL = 'https://www...
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def test_cluttered_table_place_get_gt_nsrts(): """Tests for get_gt_nsrts in ClutteredTablePlaceEnv.""" test_cluttered_table_get_gt_nsrts(place_version=True)
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def partial_list(ys, xs, specified_shapes=None): """ Args: ys: A list of tensors. Each tensor will be differentiated with the partial_nd xs: A Tensor to be used for differentiation, or a list of tensors to be used for differentiation with the smae length as ys specified_shapes: A list of...
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def _GuessBrowserName(bisect_bot): """Returns a browser name string for Telemetry to use.""" default = 'release' browser_map = namespaced_stored_object.Get(_BOT_BROWSER_MAP_KEY) if not browser_map: return default for bot_name_prefix, browser_name in browser_map: if bisect_bot.startswith(bot_name_prefi...
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def compile_train_function(network, batch_size, learning_rate): """Compiles the training function. Args: network: The network instance. batch_size: The training batch size. learning_rate: The learning rate. Returns: The update function that takes a batch of images and targets an...
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def json_loads(data): """Load json data, allowing - to represent stdin.""" if data is None: return "" if data == "-": return json.load(sys.stdin) elif os.path.exists(data): with open(data, 'r') as handle: return json.load(handle) else: return json.loads(d...
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def filter_values(freq, values, nthOct: int = 3): """ Filters the given values into nthOct bands. Parameters ---------- freq : ndarray Array containing the frequency axis. values : ndarray Array containing the magnitude values to be filtered. nthOct : int, optional F...
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def create_project(request): """View to create new project""" user = request.user if user.is_annotator: error = ErrorMessage(header="Access denied", message="Only admin and managers can create projects") return render(request, 'error.html', {'error':error}) if request.method == "POST": ...
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def limit( observed_CLs: np.ndarray, expected_CLs: np.ndarray, poi_values: np.ndarray, figure_path: Optional[pathlib.Path] = None, close_figure: bool = False, ) -> mpl.figure.Figure: """Draws observed and expected CLs values as function of the parameter of interest. Args: observed_C...
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def get_genlu_code(cursor, label): """Find or create the code for this label.""" if label not in GENLU_CODES: cursor.execute("SELECT max(id) from general_landuse") row = cursor.fetchone() newval = 0 if row[0] is None else row[0] + 1 LOG.debug("Inserting new general landuse code: ...
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def main(): """ Combines all subprograms. :return: """ # Tests ftp connection. ftp,success = connectToFTP(FTP_HOST, FTP_USER, FTP_PASS,1) if not success: return # Creates a queue that will end all other threads when necessary. killThread = queue.Queue() # Initializes t...
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def make_predictions(clf_object,predictors_str,data_source): """make_predictions comes up with predictions from given input data Input: clf_object object constructed classification model predictors_str nd str array ...
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def ticket_queue_asnauto_skipvq(request, org, net, rir_data): """ queue deskro ticket creation for asn automation action: skip vq """ if isinstance(net, dict): net_name = net.get("name") else: net_name = net.name if isinstance(org, dict): org_name = org.get("name") ...
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def no_span_nodes(tree, debug=False, root_id=None): """Return True, iff there is no span node in the given ParentedTree.""" assert isinstance(tree, ParentedTree) if root_id is None: root_id = tree.root_id span_label = debug_root_label('span', debug=debug, root_id=root_id) if tree.label() =...
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def get_token_annualized(address, days): """Return annualized returns for a specific token. Args: days [int]: Days ago for which to display annualized returns. address [str]: Ethereum token address. Return: dict: Annualized returns for a specified token. key [str]: Day...
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def generate_random_string(N): """ Generate a random string Parameters ------------- N length of the string Returns ------------- random_string Random string """ return ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(N))
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def test_cmat2aset(): """Test cmat2aset.""" assert True
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def _save_owner_edge(obj_ver_key, info_tup): """Save the ws_owner_of edge.""" username = info_tup[5] from_id = 'ws_user/' + sanitize_arangodb_key(username) to_id = 'ws_object_version/' + obj_ver_key logger.debug(f'Saving ws_owner_of edge from {from_id} to {to_id}') save('ws_owner_of', [{ ...
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def derive_related_properties(): """Derive the list of related properties from property statistics.""" logger.info('Deriving related properties ...') data = statistics.get_json_data('properties') related = {} for pid in data: if 'r' in data[pid] and data[pid]['r']: related[pid]...
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def extract_charm_name_from_url(charm_url): """Extract the charm name from the charm url. E.g. Extract 'heat' from local:bionic/heat-12 :param charm_url: Name of model to query. :type charm_url: str :returns: Charm name :rtype: str """ charm_name = re.sub(r'-[0-9]+$', '', charm_url.spl...
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def class_name(service_name: str) -> str: """Map service name to .pyi class name.""" return f"Service_{service_name}"
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def interesting_columns(df): """Returns non-constant column names of a dataframe.""" return sorted(set(df.columns) - set(constant_columns(df)))
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def liberty_str(s): """ >>> liberty_str("hello") '"hello"' >>> liberty_str('he"llo') Traceback (most recent call last): ... ValueError: '"' is not allow in the string: 'he"llo' >>> liberty_str(1.0) '"1.0000000000"' >>> liberty_str(1) '"1.0000000000"' >>> liberty_...
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def is_valid_dm(D, tol=0.0, throw=False, name="D", warning=False): """ Return True if input array is a valid distance matrix. Distance matrices must be 2-dimensional numpy arrays. They must have a zero-diagonal, and they must be symmetric. Parameters ---------- D : ndarray The cand...
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def solve_gradwavefront(data, excludeself=False, predict_at=None, fix_covar=False, **kw): """Find turbulent contributions to measured fiber positions. Assumes that the turbulent contributions can be modeled as the gradient of a wavefront error. i.e., they are curl free. Args: ...
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def str_to_py(value: str): """Convert an string value to a native python type.""" rv: Any if is_boolean_state(value): rv = get_boolean(value) elif is_integer(value): rv = get_integer(value) elif is_float(value): rv = get_float(value) else: rv = value return rv
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def action(request: Dict[str, Any]) -> Tuple[str, int]: """Triggered from Slack action via an HTTPS endpoint. Args: request (dict): Request payload. """ if request.method != 'POST': return 'Only POST requests are accepted', 405 print('Triggered Slack action.') form = json.load...
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def inmemory(): """Returns an xodb database backed by an in-memory xapian database. Does not support spelling correction. """ return open(xapian.inmemory_open(), spelling=False, inmem=True)
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