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def truncate_out_cert_raw(origin_raw_str: str): """truncate the original ssl certificate raw str like:\n -----BEGIN CERTIFICATE----- raw_str_data... -----END CERTIFICATE-----\n and split out the raw_str_data""" if not isinstance(origin_raw_str, str) or origin_raw_str == "": raise Excepti...
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def addNewUser(db: Connection, userID: int) -> bool: """ Add new user to database :param db: database object instance :param userID: User ID :return: Boolean True if no error """ if db is None: return False now: datetime = datetime.utcnow() currentTime: str = now.strftime("%Y...
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def dv_dlogdp(dp, n, gm, gsd): """The volume weighted PDF of a lognormal distribution as calculated using equation 8.20 from Seinfeld and Pandis. .. math:: n_V^o(log D_p)=log(10)*D_p n_V(D_p) Parameters ---------- dp : float or array of floats Particle diameter in microns. ...
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def generate_lp_file_borda_owa(owa, lp_file_name, params, votes): """ this function generates lp file""" lp_file = open(lp_file_name, 'w') lp_file.write("Maximize\nobj: ") pos = 0 first = True for i in range(params['voters']): for j in range(params['orders']): for k in range...
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def auto_pairing(ctx, status): """Configure auto-pairing status. When auto-pairing is enabled, if no known device is available when adapter is plugged in, a pairing is automatically done with first available device.""" adapter = ctx.obj['adapter'] if status is None: with hid.Device(adap...
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def cmp_char(a, b): """Returns '<', '=', '>' depending on whether a < b, a = b, or a > b Examples -------- >>> from misc_utils import cmp_char >>> cmp_char(1, 2) '<' >>> print('%d %s %d' % (1, cmp_char(1,2), 2)) 1 < 2 Parameters ---------- a Value to be compare...
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def retrieve_context_topology_node_owned_node_edge_point_available_capacity_bandwidth_profile_committed_burst_size_committed_burst_size(uuid, node_uuid, owned_node_edge_point_uuid): # noqa: E501 """Retrieve committed-burst-size Retrieve operation of resource: committed-burst-size # noqa: E501 :param uuid...
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def get_command_name(cmd, default=''): """Extracts command name.""" # Check if command object exists. # Return the expected name property or replace with default. if cmd: return cmd.name return default
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def ref_ad_factory(path_to_refs): """ Read the reference file. Parameters ---------- path_to_refs : pytest.fixture Fixture containing the root path to the reference files. Returns ------- function : function that loads the reference file. """ def _reference_ad(filename...
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def _getText(node): """ Obtains the text from the node provided. @param node Node to obtain the text from. @retval Text from the node provided. """ return " ".join(child.data.strip() for child in node.childNodes if child.nodeType == child.TEXT_NODE)
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def make_connection_plus_from(conn: Union[sqlite3.Connection, ConnectionPlus] ) -> ConnectionPlus: """ Makes a ConnectionPlus connection object out of a given argument. If the given connection is already a ConnectionPlus, then it is returned without any changes. Args:...
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def _update_sensor_geometry(info, fine_cal, ignore_ref): """Replace sensor geometry information and reorder cal_chs.""" from ._fine_cal import read_fine_calibration logger.info(' Using fine calibration %s' % op.basename(fine_cal)) fine_cal = read_fine_calibration(fine_cal) # filename -> dict ch_...
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def print_reshaped_data_dimension(x_train, y_train, x_val=None, y_val=None): """Print dimensions after reshaping data""" print("\n\nAfter reshaping:\nTraining shape: ") print(x_train.shape, y_train.shape) if (x_val is not None) and (y_val is not None): print("Validation shape: ") print(...
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def polygonOffsetWithMinimumDistanceToPoint(point, polygon, perpendicular=False): """Return the offset from the polygon start where the distance to the point is minimal""" return polygonOffsetAndDistanceToPoint(point, polygon, perpendicular)[0]
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def closeWindows(): """ Closes all of the windows derived from QProxyWindow. :rtype: None """ from dcc.userinterface import qproxywindow qproxywindow.QProxyWindow.closeWindows()
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def get_package_versions(sha1, os_type, package_versions=None): """ Will retrieve the package versions for the given sha1 and os_type from gitbuilder. Optionally, a package_versions dict can be provided from previous calls to this function to avoid calling gitbuilder for information we've alrea...
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def get_configs_from_model_files(state: 'State', model_root = None, ignore_files: list = None) -> List[dict]: """ Assumes that all configs are defined within the model files: models/m_{name}.py and that each model file has a get_config() option which returns an array of all configs. Each config...
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def get_arrdepth(arr): """ USAGE ----- arr_depths = get_arrdepth(arr) Determine number of nested levels in each element of an array of arrays of arrays... (or other array-like objects). """ arr = np.array(arr) # Make sure first level is an array. all_nlevs = [] for i in ran...
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def get_ocid(prefix, tenderID): """greates unique contracting identifier""" return "{}-{}".format(prefix, tenderID)
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def verify_soc_board_combination(args): """Verifies the given board exists for the SOC.""" soc_file = f"meta/socs/{args.soc}.yaml" if not os.path.exists(soc_file): raise SystemExit(f"SOC {args.soc} does not exist.") all_boards = open_yaml(soc_file).get('boards', []) if args.board not in all_...
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def main(): """Make a jazz noise here""" args = get_args() str = args.str.upper() codons = {} for line in args.codons: codon, protein = line.upper().split() codons[codon] = protein k = 3 proteins = [] for codon in [str[i:i + k] for i in range(0, len(str) - k + 1, k)]: ...
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def md5(fileName): """Compute md5 hash of the specified file""" m = hashlib.md5() try: fd = open(fileName,"rb") except IOError: print("Reading file has problem:", filename) return x = fd.read() fd.close() m.update(x) return m.hexdigest()
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def Kernel(x,f,theta): """ build square kernel matrix for inputs x with kernel function f and parameters theta Inputs ------- x : vector values to evaluate the kenrel function at, pairwise f: kernel function function that accepts inputs as (x1,x2,theta) theta: vector ...
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def drop_duplicated_indices(df: Union[pd.Series, pd.DataFrame]) -> Union[pd.Series, pd.DataFrame]: """If one concatenates dataframes there might be duplicated indices. This can lead to problems, e.g., in interpolation steps. One easy solution can be to just drop the duplicated row Args: df (Uni...
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def report_response(params, runner=None, cache=DEFAULT_CACHE): """ This frontend helper function is meant to be used in your request-processing code to handle all AJAX responses to the Blingalytics JavaScript frontend. In its most basic usage, you just pass in the request's GET parameters as a ...
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def median( y, mask): """Return the median of the array y, ignoring masked elements. Parameters ----------- y : ndarray array of values mask : ndarray array of (int32) ones or zeros (0 indicates a good value) Returns -------- med...
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def train_model(x_train, y_train_e, x_val, y_val_e, num_epochs, learning_rate): """ Train the model using the data given, along with the parameters given. @param x_train is the training dataset. @param y_train_e is an np.array of the training labels. @param x_val is the validation...
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def run_forever(): """Create the server instance using the above create_server method.""" server = create_server() try: print(f'Starting server on 127.0.0.1:5000') server.serve_forever() except KeyboardInterrupt as error: print('Thanks for running the server. Shutting down...') ...
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def polynomial(a0,a1,a2,a3,a4,x): """ Up to x4 """ return a0 + x*(a1+x*(a2+x*(a3+x*a4)))
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def fibo(f=1, g=1): """Yields Fibonacci numbers.""" while True: yield f f, g = g, f + g
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def find_place(word: Word, panel: Panel): """ Find a place for a word inside the panel. The position will be written into word.positions. :param panel: The panel where the word should find a place. :param word: The word which is looking for a place inside the panel. :raise PermutationsExceededExce...
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def time_round(time, delta, epoch=None): """From https://stackoverflow.com/a/57877961/13775459""" mod = time_mod(time, delta, epoch) if mod < (delta / 2): return time - mod return time + (delta - mod)
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def resnet(info, depth=28, width=1): """Resnets of varying width and depth.""" N = (depth - 4) // 6 inputs = Input(shape=info.features['image'].shape) x = Conv2D(16, (3, 3), padding='same')(inputs) x = BatchNormalization()(x) x = Activation('relu')(x) for _ in range(N): x = _residu...
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def get_str_md5(content): """ Calculate the MD5 for the str file :param content: :return: """ m = hashlib.md5(content) # 创建md5对象 return m.hexdigest()
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def cv_personal_info(request): """Add information about person to CV requests""" return {'cv_personal_info': CV_PERSONAL_INFO}
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def make_test(row): """ Generate a test method """ def row_test(self): actual = row.get("_actual") if actual in ("P", "F"): if actual == "P": self.assertMeansTest("eligible", row) else: self.assertMeansTest("ineligible", row) ...
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def replace_german_umlaute(unicode_string): """.""" utf8_string = unicode_string.encode("utf-8") print("xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx") print("{}".format(utf8_string)) print(u"{}".format(utf8_string)) print("xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx") for k in umlaute_dict.keys(): utf8_string ...
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def audio_conversion(): """Convert audio file to MP3 and update metadata on mp3. :return: Converted audio """ # For whatever reason temporary file was workable with subprocess. tmp_path = os.path.join("/tmp", "audio_" + uuid.uuid4().hex + ".mp3") try: audio_bytes = request.files["audio_...
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def populate(contents_mgr): """ Populate a test directory with a ContentsManager. """ dirs_nbs = [ ('', 'inroot.ipynb'), ('Directory with spaces in', 'inspace.ipynb'), ('unicodé', 'innonascii.ipynb'), ('foo', 'a.ipynb'), ('foo', 'name with spaces.ipynb'), ...
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def running_mean(clazz=None, batch_size=50, step_size=10, dim=None): """The :func:`running_mean` decorator is used to add a :class:`.RunningMean` to the :class:`.MetricTree`. If the inner class is not a :class:`.MetricTree` then one will be created. The :class:`.RunningMean` will be wrapped in a :class:`.To...
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def min_value(state, depth, max_depth, alpha, beta, transposition_table): """ Acting as the minimizer for the min_max search with alpha beta """ state.depth = depth # checking entry in transposition table table_check = transposition_table.table_lookup(state) if(len(table_check) > 0): ...
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def evaluate(): """ Evaluate the CNN model. """ path = 'results/' eval = EvaluateModel(ConvolutionalNeuralNetwork) eval.evaluate(path, path)
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def api_client(cluster_name: str, api_class: str) -> k8s.client.apis: """ Creates and returns a python k8s api client of the specified class and pointing to the specified cluster. Usage: Use this function whenever you want a python k8s api client. Python k8s api documentation: https://github.com/kubernetes-clie...
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def plot_intensity(tc, ax=None, figsize=(10,5), fontsize=15): """ Plot the intensity of the given TC. Parameters ---------- tc: TC A single TC. ax: Axe Axe for plotting figsize: tuple Figure size of (12, 6) fontsize: int Size of the font (title, label and...
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def fig_2_Image(fig): """ Ref: https://panjinquan.blog.csdn.net/article/details/104179723 fig = plt.figure() image = fig2data(fig) @brief Convert a Matplotlib figure to a 4D numpy array with RGBA channels and return it @param fig a matplotlib figure @return a numpy 3D array of RGBA valu...
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def binary_sigmoid(n: float, lmbda: float = 1.0) -> float: """ Binary Sigmoidal (Unipolar Continuous) Activation Function """ return 1 / (1 + (math.exp(-lmbda * n)))
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def user_is_valid(data): """user error handling""" from .collections import store resp = "The username you provided already exists" body = store.get_by_field(key='username', value=data.get('username')) is not None errors = {} if store.get_by_field(key='email', value=data.get('email')) is not No...
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def create_new_ap_hostname(country_code, ap_macs: list(), mgmt_subnet: str) -> dict: """ "WAP<COUNTRY_CODE><2nd_OCTET>3rd_OCTET>_<ascending index starting from 001>" start index will be the lowest management IP address Args: mgmt_subnet: IP network portion (without prefix) ap_macs: list...
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def ldns_tsig_keydata_clone(*args): """LDNS buffer.""" return _ldns.ldns_tsig_keydata_clone(*args)
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def then_ros(result: dict, ros_em: float, note: str): """ check the relative error of the ros """ error = check_metric('ROS', result['fuel_type'], result['python'].ros, result['expected']['ros'], ros_em, ...
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def capture_output(stream, loglevel=None): """Context manager which captures all log and console output to given `stream` while in scope.""" root_logger = logging.getLogger() old_level = root_logger.getEffectiveLevel() old_id = getattr(local_context, 'session_id', None) # Keep using current, or crea...
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def log_variance(locations): """ Compute location variance feature from location data. Logarithm of combined variance of latitude and longitude values. :param locations: dataframe of location data with columns latitude and longitude. :return: location variance. """ if len(locations) < 2: ...
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def main(cmd_args): """ Complete Scenario Generator. """ args = get_options(cmd_args) logging.info('%s', args) ## ======================== PROFILER ======================== ## if args.profiling: profiler = cProfile.Profile() profiler.enable() ## ======...
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def exec_code_in_pi(source, inp=None, out=None, err=None, locals=None): """Runs code in a separate context: (thread, PySystemState, PythonInterpreter)""" def execution_context(): from org.python.core import Py from org.python.util import PythonInterpreter from org.python.core import PyS...
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def client(app): """ Fixture to emulate client""" return app.test_client()
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def test_wage_nonpecs(): """Replace constants in reward functions with constants due to observables.""" point_constr = {"n_periods": 3, "n_lagged_choices": 1, "observables": [2]} params, options = generate_random_model(point_constr=point_constr) solve = get_solve_func(params, options) state_space =...
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def menu(): """Print the menu""" print '\nWelcome to the Rock-Paper-Scissors Game' print 'Please select:' print '1 for rock' print '2 for paper' print '3 for scissors'
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def first_discoverable(targets, cat, kwargs): """A target chooser: the first target for which discover() succeeds This may be useful where some drivers are not importable, or some sources can be available only sometimes. """ for t in targets: try: if cat: s = cat...
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def _centralize(shape): """Create a shape which is just like the input, but aligned to origin. The origin is (0; 0) in 2D case. The input shape stays unchanged. It's expected to be a numpy.array. """ centroid = shape.mean(0) return shape - centroid
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def evaluate_model(Net, seeds, mini_batch_size=100, optimizer = optim.Adam, criterion = nn.CrossEntropyLoss(), n_epochs=40, eta = 1e-3, lambda_l2 = 0, alpha=0.5, beta=0.5, plot=True,statistics = True ,rotate = False,translate=False,swap_channel = False, GPU=False): """ ...
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def factory(_context, request): """Return a AuthCookieService instance for the passed context and request.""" cookie = SignedCookieProfile( # This value is set in `h.auth` at the moment secret=request.registry.settings["h_auth_cookie_secret"], salt="authsanity", cookie_name="aut...
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def get_fcn_resnet50_model_instance(num_classes): """ This method gets an instance of FCN-Resnet-50 model given num_classes. 0 < num_classes <= 21 :param num_classes: number of classes :return: instance of FCN-Resnet-50 model. """ # Checks constraint on num_classes if num_classes <= 0 ...
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def projC(gamma,q): """return the KL projection on the column constrints """ return np.multiply(gamma,q/np.maximum(np.sum(gamma,axis=0),1e-10))
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def read_file(file_name, package_level=True): """Get file content given file path. :param: [package_level] - Wheather the file is in/out side the `gmail_api_wrapper` package """ file_path = get_absolute_path(file_name, package_level=package_level) with open(file_path) as file_descriptor: ...
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def test_query_into_dictcursor(sn): """Verifies passing `as_dcur=True` to snowmobile.query() returns a dictcursor.""" from snowflake.connector import DictCursor dcur = sn.query("select 1", as_dcur=True) assert isinstance(dcur, DictCursor)
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def fit_vfa_nonlinear(s, fa_rad, tr): """Return T1 based on VFA signals using NLLS fitting. Parameters ---------- s: ndarray 1D array of signals. fa_rad: ndarray 1D array of flip angles (rad). tr: float Repetition time (s). Returns ---...
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def GenerateRandomName(): """Generates a random string. Returns: The returned string will be 12 characters long and will begin with a lowercase letter followed by 10 characters drawn from the set [-a-z0-9] and finally a character drawn from the set [a-z0-9]. """ buf = cStringIO.StringIO() buf.wri...
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def p_fillnull_macro(p): """fillnullcmd : FILLNULL MACRO""" p[0] = ParseTreeNode('COMMAND', raw='fillnull') p[1] = ParseTreeNode('MACRO', raw=p[1], is_argument=True) p[0].add_child(p[1])
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def sign_correct(a_v, a_terms2idx, a_pos, a_neg, a_neut): """Fix polarity values of the seed terms in the given vector. @param a_v - vector of word polarity scores @param a_terms2idx - mapping from terms to ``a_v`` indices @param a_pos - set of lexemes with positive polarity @param a_neg - set of l...
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def get_restoration_targets(message_ids): """Given a list of message-ids, return a list of tuples of (message_id, recipient) suitable for the unremediate_emails command. The values are discovered by querying the remediation table in the database.""" from saq.database import get_db_connection ...
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def _check_fit_params(x_data, fit_params, indices=None): """Check and validate the parameters passed during ``fit``.""" fit_params_validated = {} for param_key, param_value in fit_params.items(): if (not _is_arraylike(param_value) or _num_samples(param_value) != _num_samples(x_data))...
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def filter_wrong_poses( skel_ours_2d, skel_ours_3d, d_thresh=Conf.get().optimize_path.head_ank_dthresh, l_torso_thresh=Conf.get().optimize_path.torso_length_thresh, show=False): """Attempts to filter poses, where ankles are too close to the head. Remember, up is -y, so lower y coordinate means "higher" ...
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def clone_file(in_: Input, out: Output): """.""" _out: Path = Path(out) with _out.open("w") as f: f.write("Child\n") f.write(open(in_, "r").read())
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def read_binary_file( bbseries, comps, station_names=None, wave_type=None, file_type=None, units="g" ): """ read all stations into a list of waveforms :param input_path: :param comp: :param station_names: :param wave_type: :param file_type: :return: [(waveform_acc, waveform_vel]) ...
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def _install(package, src_dir, dst_dir, params, prefix_len=None, rec=None): """Interpolate source directory into target directory with params. """ package_name = package.__name__ _LOGGER.info( 'Installing package: %s %s %s', package_name, src_dir, dst_dir ) contents = pkg_resources.reso...
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def is_html_needed(user_agent): """ Basing on `user_agent`, return whether it needs HTML or ANSI """ plaintext_clients = ['curl', 'wget', 'fetch', 'httpie', 'lwp-request', 'python-requests'] if any([x in user_agent for x in plaintext_clients]): return False return True
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def open_hansen_biomass_tile(tile_id, version): """ Open single tile from the Hansen 2020 dataset and then massage it into a format for use by the rest of the routines. Parameters ---------- tile_id : str The latitude/longitude of the northwest corner of the tile (e.g. 50N_130W) ver...
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def get_image(max_number=None): """ This function returns a iterator of image. It is used for local test of participating algorithms. Each iteration provides a tuple of (image_id, image), each image will be in RGB color format with array shape of (height, width, 3) return: tuple(image_id: str, ...
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def main(): """ Entrypoint for all 4 command-line tools. Typical usage: $ djhtml -i file1.html file2.html """ Mode = modes.DjHTML if sys.argv[0].endswith("djtxt"): Mode = modes.DjTXT if sys.argv[0].endswith("djcss"): Mode = modes.DjCSS if sys.argv[0].endswith("djjs"...
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def process_entry(base_url, i, entry): """ Given a base URL, an index, and an entry dictionary, ensure that the entry is valid, and return an Apache RedirectMatch directive string. """ source = '' replacement = '' # Check entry data type if type(entry) is not dict: raise ValueError('Entry %d is n...
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def _normalize(string_to_convert, normalize=False): """ a utility method for normalizing string """ try: return unicodedata.normalize('NFC', string_to_convert) if normalize else string_to_convert except TypeError: return string_to_convert
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def pipe(*args, **kwargs): """An aggregator that eagerly sums fields of items in a stream. Note that this pipe is not lazy if `group_key` is specified. Args: items (Iter[dict]): The source. kwargs (dict): The keyword arguments passed to the wrapper Kwargs: conf (dict): The pipe...
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def save_data_list_to_npz(data_list, npz_file): """tbd""" keys = data_list[0].keys() merged_data = {} for key in keys: lens = np.array([len(data[key]) for data in data_list]) values = np.concatenate([data[key] for data in data_list], 0) merged_data[key] = values merged_da...
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def __xor_bytes(bytes1, bytes2): """xor of a list of bytes""" assert len(bytes1) == len(bytes2) return [bytes1[i] ^ bytes2[i] for i in range(len(bytes1))]
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def plugins_help() -> str: """ Gets the help text for the 'plugins' sub-command. """ return PluginsOptions.get_configured_parser(prog="wai-annotations plugins").format_help()
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def report_issue() -> str: # pragma: no cover """Used when errors are really f*cked up""" return ('Report an issue please? ' '( https://github.com/agamm/comeback/issues )')
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def get_distro(): """ factory to return the right Distro object """ return distro_instance
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def compute_coefficients(temperature_resistance_pairs): """Computes Steinhart-Hart model coefficients. Equations taken from https://www.dataloggerinc.com/wp-content/uploads/2016/10/self-calibrate-thermistors.pdf. Args: temperature_resistance_pairs: sequence of three (temperature, resistance) tuples....
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def timed_cache(**timed_cache_kwargs): """LRU cache decorator with timeout. Parameters ---------- days: int seconds: int microseconds: int milliseconds: int minutes: int hours: int weeks: int maxsise: int [default: 128] typed: bool [default: False] """ def _wrap...
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def _get_orthologous_imodulons(M1, M2, method, cutoff): """ Given two M matrices, returns the dot graph and name links of the various connected ICA components Parameters ---------- M1 : ~pandas.DataFrame M matrix from the first organism M2 : ~pandas.DataFrame M matrix from t...
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def cont6(): """ 1 cluster (2 shared contours) with 2 subclusters (those from <cont4>). Contains 3 minima (subclusters contain 1 and 2, resp.). """ cont_min = [ cncc(5, (6.00, 3.00), 0.2, (1, 1)), cncc(2, (7.00, 4.00), 0.1, (4, 1), rmin=0.15), cncc(2, (6.25, 3.25), 0.3, (6, 1...
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def test_logger_no(caplog): """Can we not emit logs.""" util.LOG.debug("hi daryl") assert "hi daryl" not in caplog.text
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def _get_raw_parts_helper(response, http_response_type): """Helper for _get_raw_parts Assuming this body is multipart, return the iterator or parts. If parts are application/http use http_response_type or HttpClientTransportResponse as enveloppe. """ body_as_bytes = response.body() # In or...
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def add_cdb_to_cfg(name, loc, cfg_file): """Adds cdb of name `name` and path `loc` to `cfg_file` Parameters ---------- name : str Name of cdb (e.g. example_database) loc : str path to cdb (e.g. C:\\example_database.cdb) cfg_file : str Full filename of an adams drill ...
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def mom2mag_nm(mom): """Converts moment to magnitude - newtonmetre""" return (np.log10(mom) - 9.05) / 1.5
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def mergeWindows(data, dimOrder, maxWindowSize, overlapPercent, batchSize, transform, progressCallback=None): """ Generates sliding windows for the specified dataset and applies the specified transformation function to each window. Where multiple overlapping windows include an element of the input datas...
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def UDPOS(*args, **kwargs): """ Universal Dependencies English Web Treebank Separately returns the training and test dataset Arguments: root: Directory where the datasets are saved. Default: ".data" Examples: >>> from torchtext.datasets.raw import UDPOS >>> train_dataset, vali...
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def _load_global_signal(confounds_raw, global_signal): """Load the regressors derived from the global signal.""" global_params = _add_suffix(["global_signal"], global_signal) _check_params(confounds_raw, global_params) return confounds_raw[global_params]
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def DictTester( value_test: Callable[[Any], bool], ) -> Callable[[Any], bool]: """ Return a callable that tests whether a given TypeSpec is a DictTypeSpec with the expected valueSpec. It is assumed that keySpec must be a ScalarTypeSpec[str], since that is the only type of Dict we support. "...
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def isHarmonic(field, sphericalMask, shellMask): """Checks if the extrema of the field are in the shell.""" fullField = np.multiply(field, sphericalMask) # [T] reducedField = np.multiply(field, shellMask) if int(ptpPPM(fullField)) > int(ptpPPM(reducedField)): print( "ptpPPM of field...
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