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def abort_training(config, instance_id, submission_id): """ Stop training a submission. This is done by killing the screen where the training process is. Parameters ---------- instance_id : str instance id submission_id : int submission id """ cmd = 'screen -S ...
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def get_renamed_job_folder_from_list(job_id, file_list): """ Get renamed job folder from list of filenames Parameters ---------- job_id : int job_id to check the existence of a renamed job folder for file_list : list List of filenames to check the existence of the job folder in....
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def elu(x, alpha=1.0): """ Exponential linear unit # Arguments x: Tensor to compute the activation function for. alpha: scalar """ _assert_has_capability(T.nnet, 'elu') return T.nnet.elu(x, alpha)
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def save_configs(configs: Dict[str, TgcliConfiguration]): """Save the entire dictionary of configurations to files at $HOME/.tgcli/ - .tgcli/config stores non-sensitive information - .tgcli/credentials stores sensitive information (username, password, and secrets) """ combined_config = configparser...
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def guess_region(local_client): """ 1. read the consts.py 2. try read the battlenet db OR config get the region info. 3. try query https://www.blizzard.com/en-us/user 4. failed return "" """ from consts import REGION if REGION: return REGION try: if local_client._loa...
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def textfsm_to_pd(srt, name, adj): """ Parses routing table in textfsm format as returned by netmiko :param srt: Source routing table :param name: Name of the router :param adj: Adjacency information :return: Routing table as pandas dataframe """ logger = logging.getLogger('network-test...
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def set_categorical_variables(column_names, categorical_variables=None): """ Set categorical variables. This helper functions determines a logical boolean vector based on the column names and the designation for which ones are categorical variables. :param column_names: A list of strings; ...
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def compute_features(lyrics, tdm_indices): """Create new superficial lyrics features. Return df with the new features in columns and one row per track.""" import time start = time.time() total_num_words = np.zeros(len(tdm_indices)) tdm = lyrics['tdm'].toarray() for i in range(len(tdm_indice...
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def from_json_string(my_str): """Returns an object (Python data structure) represented by a JSON string: Arguments: my_str (obj) -- json str Returns: obj -- object """ return json.loads(my_str)
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def getProgress(): """Get progress of jackalify.""" global it global max_it return (it * 100 // max_it) if max_it > 0 else 0
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def _start_interactively(): """Start the program interactively through the command line.""" while True: number = int(input("Please type in the number " "you want to convert: ")) print(arabic_to_roman(number)) print("")
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def save(account): """ saves a credencial """ account.save_user()
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def generate_round(): """ Генерируем раунд. Returns: str: question Вопрос пользователю str: result Правильный ответ на вопрос """ first_num, second_num = generate_question() question = "{one} {two}".format(one=first_num, two=second_num) answer = str(math.gcd(first_num, secon...
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def filter_separation(catalogue, T_observed, antenna=None, separation_deg=1, sunmoon_separation_deg=10): """ Removes targets from the supplied catalogue which are within the specified distance from others or either the Sun or Moon. @param catalogue: [katpoint.Catalogue] @param T_observed: UTC times...
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def cconv_transpose_backprop_filter( filter, out_positions, out_importance, extent, offset, inp_positions, inp_features, inp_neighbors_index, inp_neighbors_importance, inp_neighbors_row_splits, neighbors_index, neighbors_importance, neighbors_row_splits, out_features_gradient, align_corn...
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def to_str(object_: Any) -> str: """ >>> to_str(b"ass") 'ass' >>> to_str("ass") 'ass' >>> to_str(None) '' >>> to_str({"op": "oppa"}) "{'op': 'oppa'}" """ if object_ is None: return "" if isinstance(object_, bytes): return object_.decode("utf-8") retu...
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def _create_dummy_adata(n_obs: int) -> AnnData: """ Create a testing :class:`anndata.AnnData` object. Call this function to regenerate the ground truth objects. Parameters ---------- n_obs Number of cells. Returns ------- :class:`anndata.AnnData` The created adata ...
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async def fetch_stats_data(label: str) -> Dict[str, Optional[float]]: """Get available stats in Redis.""" try: return await get_stats_dict(label) except NotFoundError: raise HTTPException(404)
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def get_bse(da, da_peak_times): """ Takes an xarray DataArray containing veg_index values and calculates the vegetation value base (bse) for each timeseries per-pixel. The base is calculated as the mean value of two minimum values; the min of the slope to the left of peak of season, and the min of...
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def send_data(rank, node_data, node_features, edge_data, node_part_ids, ntypes_map): """ Wrapper function to send graph data to non-rank-0 processes. Parameters: ----------- rank : integer rank of the process node_data : numpy ndarray node_data, augmented, from xxx_nodes....
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def approx_2rd_deriv(f_x0,f_x0_minus_1h,f_x0_minus_2h,h): """Backwards numerical approximation of the second derivative of a function. Args: f_x0: Function evaluation at current timestep. f_x0_minus_1h: Previous function evaluation. f_x0_minus_2h: Function evaluations two timesteps ago....
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def plot_tracing(results, gem, plot_satgem=True): """ standard plotting function for viewing ray tracing results """ if not isinstance(gem, satGEM_field): raise ValueError('satGEM input must be a satGEM field object') fig1 = plt.figure(figsize = (15,8)) plt.subpl...
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def ind_from_latlon(lats,lons,lat,lon,verbose=False): """Find the nearest neighbouring index to given location. Args: lats (2d array): Latitude grid lons (2d array): Longitude grid lat (float): Latitude of location lon (float): ...
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def remove_included_clip_from_filter(fid: int, cid: int) -> None: """ Removes a included clip from a filter. :param fid: The filter's id. :param cid: The camera's id. """ f = get_filter_by_id(fid=fid) assert f is not None clip = get_clip_by_id(cid) assert clip is not None f.incl...
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def get_dict_key_by_value(val, dic): """ Return the first appeared key of a dictionary by given value. Args: val (Any): Value of the key. dic (dict): Dictionary to be checked. Returns: Any, key of the given value. """ for d_key, d_val in dic.items(): if d_val ==...
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def main(): """ Main execution routine """ description = ('Simple application that logs on to the APIC' ' and displays all the faults. If tenant name is given, ' ' shows the faults associated with that tenant') creds = ACI.Credentials('apic', description) cr...
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def isJson(var=''): """ Check json >>> isJson(var='') False >>> isJson('') False >>> isJson('{}') True """ result = True try: json.loads(var) except Exception as e: result = False return result
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def test_hass_components_var(mock_collector): """Test detecting a hass_components_var reference.""" mock_collector.visit( ast.parse( """ def bla(hass): hass.components.hass_components_var.async_do_something() """ ) ) assert mock_collector.unfiltered_referenced == {"hass_c...
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def token_stream(gamestate, tokenizer=tokenizer.tokenizer): """ Take each value obtained from the tokenizer and wrap it in an appropriate Token object. :param gamestate: Gamestate dictionary :param tokenizer: tokenizer function. Passed as an argument to allow either the cython one or the regex toke...
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def trim_video(input_path: str, output_path: str, start_at: int, end_at: int=None, duration: int=None): """ trim a video clip from given video. if both end_at and duration are not given, it will trim to the end by default. :param input_path: path to the raw input video :param output_path: path to the o...
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def count_ontarget_samples(df, human_readable=False): """ Function to count usable samples. Parameters ---------- df: DataFrame human_readable: Boolean, optional default=False Returns ------- ontarget_counts: DataFrame MultiIndexed if human_readable, otherwise ...
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def read_file_from_bucketfs_to_file(bucket_file_path: str, bucket_config: BucketConfig, local_file_path: Path) -> None: """ Read a file from the specified path in the bucket in the BucketFs and save as a local file Can be used inside of an UDF. :param bucket_config: BucketConfig for the bucket to downl...
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def export_obj(mesh, include_normals=True, include_color=True, include_texture=True): """ Export a mesh as a Wavefront OBJ file Parameters ----------- mesh : trimesh.Trimesh Mesh to be exported Returns ----------- export : str OBJ ...
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def configure_interval(min_id, max_id): """Configures the server to manage debtor IDs between MIN_ID and MAX_ID. The passed debtor IDs must be between -9223372036854775808 and 9223372036854775807. Use "--" to pass negative integers. For example: $ flask swpt_debtors configure_interval -- -16 0 ...
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def test_complete_endpoint_with_freetext_bool_method(session, query): """ test of /complete endpoint with X_FEATURE_FREETEXT_BOOL_METHOD set to 'and' / 'or' / default value Verifies that results are identical regardless of bool method """ params = {'q': query, 'limit': 0} # no special header, d...
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def parse_csv_data(csv_filename: str) -> list: """This function will take the csv data from the csv file and return it as a list """ dataframe = pd.read_csv(csv_filename) return dataframe.values.tolist()
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async def do_run(): """Connect to the PLM and load the ALDB.""" devices = await async_connect(device=DEVICE) # modem = await async_connect(host=HOST, # username=USERNAME, # password=PASSWORD) modem = devices.modem _LOGGER.info('Connecte...
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def create_month(cls): """Creates one ``Month`` object.""" cls.year = mixer.blend( 'freckle_budgets.Year', year=2015, sick_leave_days=12, vacation_days=12, rate=100) cls.month = mixer.blend( 'freckle_budgets.Month', month=1, year=cls.year, public_holidays=1, employees=2)
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def classification_three_depth_manual_pipeline(): """ Returns pipeline with the following structure: logit \ knn \ rf / knn -> final prediction rf -> qda / Where rf - xg boost classifier, logit - logistic regression, knn - K nearest neighbors classifier, qda - discriminant...
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def convert_ref_to_link (match): """Converts a reference to a model object to an HTML link. :param match: match on a reference :type match: `re.MatchObject` """ model_name = match.group('model') obj_id = match.group('id') if model_name == 'site': try: site = sculpture.m...
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def find_many_shortest_paths(source_node, target_nodes, get_edges, max_path_cost=None): """ Like `find_shortest_path`, except that it finds shortest paths between the source node to a list of target nodes. It returns a list of tuples (path, path_cost). If a path is not found, the corresponding tupl...
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def update(): """ Update buildout from git/master """ with cd(env.code_root): run('nice git pull')
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def convertToMapPic(byteString, mapWidth): """convert a bytestring into a 2D row x column array, representing an existing map of fog-of-war, creep, etc.""" data = [] line = "" for idx,char in enumerate(byteString): line += str(ord(char)) if ((idx+1)%mapWidth)==0: data.append(...
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def test_day1_step2_test3(): """ The fuel required by a module of mass 100756 and its fuel is: 33583 + 11192 + 3728 + 1240 + 411 + 135 + 43 + 12 + 2 = 50346. """ spaceship = get_fuel_module_requirement(100756) assert spaceship.fuel_requirements == 50346
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def compute_edge_costs(probs, edge_sizes=None, z_edge_mask=None, beta=.5, weighting_scheme=None, weighting_exponent=1.): """ Compute edge costs from probabilities with a pre-defined weighting scheme. Arguments: probs [np.ndarray] - Input probabilities. edge_sizes [np.ndar...
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def correlation_coefficient(lagged_x, y, lag): """ Routine to determine the correlation coefficient between two data series with a certain lag shift on one of the series Input: lagged_x: The series that will be shifted by a certain lag y: The series that will not be affected by the lag shift lag: The n...
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def phar_from_mol(ligand): """Create Pharmacophore from given pybel.Molecule object.""" if not isinstance(ligand, pybel.Molecule): raise TypeError("Invalid ligand! Expected pybel.Molecule object, got " "%s instead" % type(ligand).__name__) matches = {} for (phar, pattern...
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def solve(data): """Solves an instance of the flow shop scheduling problem""" # We initialize the strategies here to avoid cyclic import issues initialize_strategies() global STRATEGIES # Record the following for each strategy: # improvements: The amount a solution was improved by this strate...
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def player_embed_url(key, player, format='js'): """ Return a signed URL pointing to a player initialised with a specific media item. :param key: JWPlatform key for the media. :param player: JWPlatform player key. :param format: (optional) Either ``'js'`` or ``'html'`` depending on whether you want ...
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def __regex_parse_documents_from_file(file_path, encoding='latin-1'): """Loads all documents from the given SGML file using REGEX and returns them """ # read whole file content = None with codecs.open(file_path, 'r', encoding=encoding) as file: content = file.read() documents = [] ...
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def create_directory(directory): """ Checks if a directory exists and if not, creates it. """ try: os.stat(directory) except: os.mkdir(directory) return
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def test_entity_find_by_business_id_no_model(session, auth_mock): # pylint:disable=unused-argument """Assert that an Entity which does not exist cannot be retrieved.""" entity = EntityService.find_by_business_identifier(TestEntityInfo.entity1['businessIdentifier']) assert entity is None
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def tone_to_note(tone): """Convert a tone to a music21 note.""" if not isinstance(tone, Tone): raise ValueError('{} is not a Tone instance'.format(tone)) if isinstance(tone, Rest): return note.Rest(quarterLength=tone.duration) if isinstance(tone, (Frequency, Vector)): p = pitch...
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def nr(a, graph_num): """Plots numerical range of a matrix with its eigenvalues.""" nv = 120 #some kind of precision m, n = a.shape if(m!=n): print('Warning: matrix is non-square') return else: e = np.linalg.eigvals(a) f = [] for k in range(1,nv+1): ...
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def info(state, bundle, layer): """Show the contents of a configuration layer. NOTE: This does not take into account any layering of multiple layers. It only shows the contents of the single specified layer. Output is returned as valid YAML. """ click.echo(yaml.dump(layer['config'], ...
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def _write_kpoints(self, directory="", fname=None): """Write out the KPOINTS file. The KPOINTS file format is as follows: line 1: a comment line 2: number of kpoints n <= 0 Automatic kpoint generation n > 0 explicit number of kpoints line 3: kpt format if n > 0: ...
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def register(plugin): """Register a signal handler which calls plugin.handle_sigterm on SIGTERM. """ signal.signal(signal.SIGTERM, create_registerer(plugin))
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def validate_flows_routines_are_linked(flows: Dict[str, Flow], wires: Dict[tuple, Wire]): """Validate that all routines flows are linked to other routines. Raises: FloatingRoutine: If a routine contained in flow but not link to any other routines. """ for flow in flows.values(): for r...
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def _extract_multipart_params( data: MultiDictProxy, ) -> Tuple[Dict[str, Any], Dict[str, Any]]: """Validate and extract the operations and map fields from the data. :param data: the data from which extract fields :type data: MultiDictProxy :return: the operations and map fields :rtype: Tuple[D...
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def create_commit(timestamp: datetime.datetime, author: str) -> None: """Create a randomly named file and commit it using the provided metadata.""" name = str(uuid.uuid4()) pathlib.Path(name).touch() subprocess.run(["git", "add", name]) subprocess.run( [ "git", "commi...
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def build_metadata(sequence, prefix, idx, keys, metadata_type="synergy"): """when adding non NN sequences, make metadata to match up sequences """ # generate for all keys metadata = {} for key in keys: metadata[key] = 0 # adjust some manually metadata[DataKeys.SEQ_METADATA] = "featu...
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def shout(): """Print a string with three exclamation marks""" # Concatenate the strings: shout_word shout_word = 'congratulations' + '!!!' # Print shout_word print(shout_word)
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def test_cray_hsm_state_components_bulk_enabled_update(cli_runner, rest_mock): """Test `cray hsm state components bulkEnabled update` with valid params """ runner, cli, config = cli_runner url_template = '/apis/smd/hsm/v1/State/Components/BulkEnabled' ids = ['x0c0s0b0n0', 'x0c0s1b0n0'] enab...
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def _read_file_to_dict(path): """ Load the problems and the corresponding labels from the *.txt file. :param path: The full path to the file to read :return: The dictionary with the problem names as keys and the true class labels as values """ label_dict = {} with open(path, 'r', encoding='u...
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def histograms(): """ histograms page """ _js_resources = Resources(mode="cdn", log_level='info').render_js() _css_resources = Resources(mode="cdn", log_level='info').render_css() _histograms = server_document(FLASK_URL + '/bkapp-histograms', resources=None) return render_template("embed.html", ...
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def rotate_petals(fp): """Rotate the X/Y offsets according to petal location. The X / Y offsets of each device are rotated to the petal location for that device. The focalplane dictionary is modified in place. Args: fp (dict): The focalplane dictionary. Returns: None ""...
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def test_rank_test_output_against_R_no_censorship(): """ > time <- c(10,20,30,10,20,50) > status <- c(1,1,1,1,1,1) > treatment <- c(1,1,1,0,0,0) > survdiff(Surv(time, status) ~ treatment) """ result = stats.multivariate_logrank_test([10, 20, 30, 10, 20, 50], [1, 1, 1, 0, 0, 0]) r_p_value...
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def closest_val(val, arr): """ Finds the closest value in `arr` to `val` Parameters ------------- val: int or float value to be looked at arr: numpy.ndarray numpy array used for finding closest value to `val` Returns ------------- idx_choice: int index for ...
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def generate_prior(dist, **kwargs): """Generate a Prior distribution. The parameter ``kwargs`` is used to pass hyperpriors that are assigned to the parameters of the prior to be built. Parameters ---------- dist: str, int, float If a string, it is the name of the prior distribution wit...
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def thc_via_cp3(eri_full, nthc, thc_save_file=None, first_factor_thresh=1.0E-14, conv_eps=1.0E-4, perform_bfgs_opt=True, bfgs_maxiter=5000, random_start_thc=True, verify=False): """ THC-CP3 performs an SVD decomposition of the eri matrix followed by a CP decomposition via pybtas. The CP de...
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def draw_rect(ax, xy, width, height): """ Draw a rectangle on a given axis with outlines Args: ax (matplotlib.axis.Axis): A matplotlib axis xy (tuple): The x and y position of the text to draw width (int): Rectangle width height (int): Rectangle height """ patch = ax....
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def sla_list_safe_domain(cluster, percentage, duration): """usage: sla_list_safe_domain [--exclude_file=FILENAME] [--exclude_hosts=HOSTS] [--grouping=GROUPING] [--include_file=FILENAME] [--include_hosts=HOSTS] [--list_jobs] [--min_job...
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def download_fn(args): """Download buildcache entry from a remote mirror to local folder. This command uses the process exit code to indicate its result, specifically, a non-zero exit code indicates that the command failed to download at least one of the required buildcache components.""" if not ar...
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def check_safety_line(path, safety_line): """Return true if the file starts with the safety line.""" with open_file(path, "r") as file: return file.readline().rstrip('\n') == safety_line
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def zopen(filename, mode): """Open filename.xz, filename.gz or filename.""" filenamexz = str(filename) if str(filename).endswith(".xz") else str(filename) + '.xz' filenamegz = str(filename) if str(filename).endswith(".gz") else str(filename) + '.gz' if os.path.exists(filenamexz): return lzma.ope...
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def main(): """ this program will draw triangle recursively """ sierpinski_triangle(ORDER, LENGTH, UPPER_LEFT_X, UPPER_LEFT_Y)
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def make_input(subject, attribute): """Generates the HTML for an input field for the given attribute. 'subject' can be None to set up an empty form for a new subject.""" name = attribute.key().name() return ATTRIBUTE_TYPES[attribute.type].make_input( name, subject and subject.get_value(name), at...
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def hs_mod_opti_step(x_n, x, u, u_n, F, dt, params): """ Must be equal to zero in order to fulfill the implicit scheme Returns ------- res : Numpy array or Casadi array Residue to minimize """ dim = vec_len(x) // 2 f = F(x, u, params)[dim:] f_n = F(x_n, u_n, params)[dim:] ...
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async def async_setup_platform( homeassistant, config, async_add_entities, discovery_info=None ): """Set up the Enphase Envoy sensor.""" ip_address = config[CONF_IP_ADDRESS] monitored_conditions = config[CONF_MONITORED_CONDITIONS] name = config[CONF_NAME] username = config[CONF_USERNAME] pas...
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def window_rowcol(lon_arr, lat_arr, bbox=None): """Get the row bounds and col bounds of a box in lat/lon arrays Returns: (row_top, row_bot), (col_left, col_right) """ if bbox is None or len(bbox) == 0: return (0, len(lat_arr)), (0, len(lon_arr)) left, bot, right, top = bbox lat...
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def success() -> int: """Represent `200` success status code""" return _success
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def close_connection(self, connection): """Summary Method closes a specific connection or the class scoped connection if none specified. Args: connection (ibm_db.connection, optional): connection to close Returns: boolean: Success or fail of connection closing """ re...
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def pa(text, nlp, language_code='en'): """Percentage of Adjectives in text.""" pa = None doc = nlp(text) words_num, _ = word_counter(text, language_code) adjectives = [token.lemma_ for token in doc if token.pos_ == 'ADJ'] adjectives_num = len(adjectives) if words_num != 0: pa = ...
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def less_than(lhs: typing.SupportsFloat, rhs: typing.SupportsFloat): """Compare the left-hand-side to the right-hand-side. Follows the Numpy logic for normalizing the numeric types of *lhs* and *rhs*. """ import numpy as np dtype = int if any(isinstance(operand, float) for operand in (lhs, rhs)...
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def test_person__PersonAddForm__10(translated_address_book, browser): """`PersonAddForm` translates country names.""" browser.login('editor') browser.lang('de-DE') browser.open(browser.PERSON_ADD_URL) assert ['Deutschland'] == browser.getControl('Land').displayValue browser.getControl('Land').di...
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def _run(run_uri): """Run stage of PKB benchmark. Args: run_uri: (string). """ if FLAGS.per_second_graphs: logging.info('Will generate per second logs for this run.') plotter = plot_sysbench_results.Plotter(FLAGS.sysbench_run_seconds, FLAGS.sysbench_report...
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def is_revoked(jti: str) -> bool: """ Returns True if a given token is revoked. """ b = TokenBlocklist.query.filter_by(jti=jti).first() return b is not None
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def test_parse__all_exception_names__param_section(raise_directive_name): """Parse all raise directives. Parameters: raise_directive_name: A parametrized directive name. """ sections, _ = parse( f""" Docstring with one line attribute. :{raise_directive_name} {SOME_EXCEP...
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def scan_htmli(url, value_forms_malforms, htmli_data): """ Given a `url`, it prints all cmdi vulnerable forms and returns True if any is vulnerable, False otherwise """ try: # get all the forms from the URL forms = get_all_forms(url) print(G + "[+]" + C + f" Det...
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def plot_roc(fpr_dict, tpr_dict, auc_roc_dict, ax, plot_prop=get_class_plot_prop()): """ Generates receiver-operating characteristic (roc) curve plot with embellishments """ if len(fpr_dict): # plot diagonal ax.plot(np.linspace(0, 1), np.linspace(0, 1), linestyle='--', color='gray') ...
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def gen_neutral_srcmap_func(original_text: Union[StringView, str], original_name: str = '') -> SourceMapFunc: """Generates a source map functions that maps positions to itself.""" if not original_name: original_name = 'UNKNOWN_FILE' return lambda pos: SourceLocation(original_name, original_text, pos)
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def get_request(url: str, headers: dict) -> requests.Response: """ Wrapper for requests.get call to use refresh token :param url: request URL :param headers: request headers :return: requests.Response """ response = requests.get(url, headers=headers) if response.status_code in BAD_TOKEN_...
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def geometric_progression_for_stepsize(x, update, dist, randomimg, params): """ Geometric progression to search for stepsize. Keep decreasing stepsize by half until reaching the desired side of the boundary, """ epsilon = dist / np.sqrt(params['cur_iter']) def phi(epsilon): new = x ...
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def cli(env, identifier): """Reset connections on a certain service group.""" mgr = SoftLayer.LoadBalancerManager(env.client) loadbal_id, group_id = loadbal.parse_id(identifier) mgr.reset_service_group(loadbal_id, group_id) env.fout('Load balancer service group connections are being reset!')
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def trace(fn): """Decorator that marks a function to be traced.""" fn.should_trace = True return fn
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def ape_update_bios_firmware_version(cookie, in_config): """ Auto-generated UCS XML API Method. """ method = ExternalMethod("ApeUpdateBIOSFirmwareVersion") method.cookie = cookie method.in_config = in_config xml_request = method.to_xml(option=WriteXmlOption.DIRTY) return xml_request
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def restore_bindpose(selected=True): """Restore the rig controls to their bindpose. Args: selected (bool): If True, reset only selected controls, otherwise reset every controls of each selected rigs. """ nodes = cmds.ls(selection=True) if not selected: namespaces = set(...
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def set_ss_value(tag, value): """ Setter for data that also work with implicit transfersyntax :param value: the value to set on the tag :param tag: the tag to read """ if tag.VR == 'OB' or tag.VR == 'UN': value = struct.pack('h', value) tag.value = value
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def squish_sound(src, percent): """Squish an audio file.""" sr, sound = wav.read(src) # Stretch the sound by the given percentage squish = rb.pyrb.time_stretch(sound, sr, 1 + percent) # Add silence to produce a sound with the same length as the original silence = np.zeros(len(sound) - len(squish...
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def FileCopy(path, destinationPath): """ Copy a File :param path:Source File :param destinationPath:Destination Path :return: """ shutil.copy(path, destinationPath)
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