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def __generate_linear_plot_func( cloudpair: tuple[Cloud, Cloud], ax: Axes, distance: list[float], y: list[float], color: str, series_name: str, semilogy: bool, ) -> Callable[[Optional[int]], list[PathCollection]]: """ :return function that actually does the plotting. We do this becau...
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def get_id_set(id_set_path: str) -> dict: """ Parses the content of id_set_path and returns its content. Args: id_set_path: The path of the id_set file Returns: The parsed content of id_set """ with open(id_set_path, 'r') as id_set_file: id_set = json.load(id_set_file) ...
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async def update_recipe_category(category: str, new_category: CategoryIn, session: Session = Depends(generate_session)): """ Updates an existing Tag in the database """ try: return db.categories.update(session, category, new_category.dict()) except Exception: raise HTTPException(status.HTTP...
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def get_station_id(pool, latitude, longitude, station_type) -> str: """ Retrieve station id :param pool: database connection pool :param latitude: :param longitude: :param station_type: StationEnum: which defines the station type such as 'CUrW', 'WRF' :return: str: station id, if station...
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def lambda_handler(event, context): """Lambda function"""
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def get_bgp_summary( device, address_family=None, vrf=None, rd=None, all_summary=False ): """ Get neighbors from show bgp summary command Args: device ('obj'): Device object address_family ('str'): address family vrf ('str'): vrf name all_summary ('bool')...
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def give_stats(list_of_scores, list_of_dates, selected_date, over_all): """returning the stats of a list of scores""" if not over_all: total = 0 ctr = 0 best = 9999 worst = 0 for score in list_of_scores: if score[0].text == list_of_dates[selected_date].text: ...
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def initialize( backends=( "libturbojpeg.so.0", # for Ubuntu "turbojpeg.dll", # for Windows "/opt/libjpeg-turbo/lib64/libturbojpeg.0.dylib", # for Mac OS X )): """Loads the shared library if it was not loaded yet. Parameters: backends: tuple of shared library ...
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def get_swt( sig: Union[pd.DataFrame, pd.Series], wavelet: Optional[str] = None, depth: Optional[int] = None, timing_mode: Optional[str] = None, output_mode: Optional[str] = None, ) -> Union[pd.DataFrame, Tuple[pd.DataFrame, pd.DataFrame]]: """ Get stationary wt details and smooths for all a...
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def get_structure_AlN(): """Set up AlN primitive cell Al N 1.0 3.1100000000000000 0.0000000000000000 0.0000000000000000 -1.5550000000000000 2.6933390057696038 0.0000000000000000 0.0000000000000000 0.0000000000000000 4.9800000000000000 Al N 2 2 ...
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def _tail(filename, starting_lines=10): """ A generator for reading new lines off of the end of a file. To start with, the last `starting_lines` lines will be read from the end. """ f = open(filename) current_size = os.stat(filename).st_size _seek_to_n_lines_from_end(f, starting_lines) ...
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def transpose(transform, df, dicts): """Transposes the given dataframe""" df = df.reset_index().set_index('index').T.reset_index() df.columns = df.iloc[0] return (df[1:], dicts)
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def wizard_xy_df(run, channel_i=None, result_block="sigproc_v1", **kwargs): """ Wizard to explore sigprocv2 data as a function of the stage Audience: Trained technicians. Goal: Allow user to see: Any anomalies that are occuring as a result of the stage position """ ...
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def autostart(): """call autostart scripts""" home = os.path.expanduser('~/.config/qtile/autostart.sh') subprocess.call([home])
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def test_2_8_type_check(): """ Tests type check validation failure with traceback alteration. """ with pytest.raises(Exception) as excinfo: msg_override = "Incorrect (<Sample Key>) YAML value." type_check(value=1, required_type=str, tb_remove_name="test_2_8_type_check", msg_override=msg_...
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def getrecursionlimit(): # real signature unknown; restored from __doc__ """ getrecursionlimit() Return the current value of the recursion limit, the maximum depth of the Python interpreter stack. This limit prevents infinite recursion from causing an overflow of the C stack and crashing Pytho...
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def format_label_value(*values): """ Construct a label value. If multiple value components are provided, they are joined by underscores. """ return '_'.join(values)
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def get_ticker_from_user(): """ This function prompts a user for an input, and returns it as the ticker :return: """ logging.info('Prompting user to enter a ticker symbol') print('Note: Data up to 1 month from today will be fetched from Yahoo Finance') return raw_input('Enter a Symbol Ticker...
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def get_failed_info(res): """获取失败用例信息""" intf_summary_list, full_summary_list = res failed_intf_dic = {} for system_dic in intf_summary_list: if system_dic['failCaseNum'] == 0: continue for intf_dic in system_dic['children']: if intf_dic['failCaseNum'] == 0: ...
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def delete(targets, branch_name): """ delete command: delete target associated with <branch_name> local branch Returns the updated targets dict """ if branch_name not in targets: logging.error('No such deploy target: {0}'.format(branch_name)) return targets print 'You are about t...
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def _singularity_prefix( singularity_cmd=DEFAULT_SINGULARITY_COMMAND, sudo=DEFAULT_SUDO, sudo_cmd=DEFAULT_SUDO_COMMAND, **kwds ): """Prefix to issue a singularity command.""" command_parts = [] if sudo: command_parts.append(sudo_cmd) command_parts.append(singularity_cmd) retu...
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def build_in_mem_cube(gene_ids, cube_index, other_attrs, cube_sum, cube_nnz): """ Build the cube in memory, calculating the gene expression value for each combination of attributes """ logger.info("Building in-mem cube") # Count total values so we can allocate buffers once total_vals = 0 fo...
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def set_country(request, response, country_code): """Set region instance.""" info = get_cookie(request) if country_code and Country.objects.filter(country=country_code): info["country_code"] = country_code set_cookie(request, response, info) return True else: return Fals...
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def filter_from_strings(filter_strings: Union[str, Sequence[str]]) -> StringFilter: """Create a string filter from a sequence of input strings. Each string in the sequence can have the following format: - `ALL`: Accept all strings. - `NONE`: Accept no strings. - `<regex>` or `+<regex>`: Include str...
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def get_data_train_in_candidates(): """ Return artificial datasets when train_in_candidates = True """ sent_idx_to_idx = {} # Manually set alias map alias2wpids = { 'alias1': [["Q1", 10], ["Q4", 6]], 'multi word alias2': [["Q2", 5], ["Q1", 3], ["Q4", 2]], 'alias3': [["Q1", 30]]...
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def first_true(iterable, default=False, pred=None): """Returns the first true value in the iterable. If no true value is found, returns *default* http://docs.python.org/3.4/library/itertools.html#itertools-recipes """ return next(filter(pred, iterable), default)
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def _fHN(phi, const, lamb, omega, alpha, beta, gamma, S, K, t, r, real=True): """ real=True to return fstarHN, real=False to return fHN """ # Internal Function: # Model Parameters: gamma = gamma + lamb + 1 / 2 lamb = -1 / 2 sigma2 = (omega + alpha) / (1 - beta - alpha * gamma ** 2) ...
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def test_11(pc): """add_transceiver with valid sendEncodings should succeed""" encodings = [ webrtc.RtpEncodingParameters( active=False, max_bitrate=1337, max_framerate=30, rid="foo", scale_resolution_down_by=2.0 ) ] init = webrtc.RtpTransceiverInit(send_encodings=encodings) ...
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def build_season_div(num, nomen, season): """ Build the string for the HTML div representing an entire season """ txt = SEASON_START % {'season': str(num), 'name': nomen} for episode_num in sorted(season.keys()): txt += build_episode_row(season[episode_num]) txt += SEASON_END return txt
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def create_batch_groups(test_groups, batch_size): """Return batch groups list of test_groups.""" batch_groups = [] for test_group_name in test_groups: test_group = test_groups[test_group_name] while test_group: batch_groups.append(test_group[:batch_size]) test_group =...
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def _random_menu(update, context): # pylint: disable=unused-argument """Present the user the comic options""" comics = database_query("SELECT name FROM sources") buttons = [InlineKeyboardButton(f"{name}", callback_data=name) \ for name in itertools.chain.from_iterable(comics)] buttons_grouped =...
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def forwards(apps, schema_editor): """ Change all Play objects into Work objects, and their associated data into WorkRole and WorkSelection models, then delete the Play. """ Play = apps.get_model("spectator_events", "Play") Work = apps.get_model("spectator_events", "Work") WorkRole = apps.ge...
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def debug_off(): """Turn off logging of the requests module.""" http.client.HTTPConnection.debuglevel = 0 LOGGER.setLevel(logging.WARNING).setPropagate(False)
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def process_single(path, save=True): """ Process single image segment """ # Parse file name name = parse_name(path) if save: print(f"{name.full}:") # Get file fields header, data = load_hrit(path) # Get image properties from HRIT header h, v, bpp = get_image_properties(hea...
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def pr_hr_series(): """Return hourly time series.""" def _pr_hr_series(values, start="1/1/2000"): coords = pd.date_range(start, periods=len(values), freq=pd.DateOffset(hours=1)) return xr.DataArray( values, coords=[coords], dims="time", name="pr",...
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def calculate_derivative(contour_points, target_index): """ Calculates derivative. Calculates the derivative of the current point(contour_points[target_index]) and returned it. Args: contour_points:: [RPoint, RPoint, ...] RContour's points(RPoint objects) to be derivative. ...
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def test_started_after_assigned_and_scheduled(): """ Started occurs after both assigned and scheduled. """ state = { TaskEventType.CREATED, TaskEventType.ASSIGNED, TaskEventType.SCHEDULED, } # already created assert_that(TaskEventType.CREATED.may_transition(state), ...
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def _get_timeout(value): """ Turn an input str or int into a float timeout value. :param value: the input str or int :type value: str or int :raises ValueError: :returns: float """ maximum_dbus_timeout_ms = 1073741823 # Ensure the input str is not a float if isinstance(value, ...
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def addScriptTestsTo(TestClassFactory, tests): """Add all the tests to the test class""" TestClass = TestClassFactory() for idx in range(len(tests)): setattr(TestClass, "test%d" % idx, getScriptTestMethod(tests[idx])) return TestClass
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def _latest_snapshot_path(experiment_name): """Return the latest pkl file""" return osp.join(DATA_DIR, "%s.latest" % (experiment_name))
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def lambda_handler(evt, ctx): """AWS Lambda entrypoint""" try: return awsgi.response(app, evt, ctx) except Exception as err: print(f'{err}') return { 'statusCode': 500, 'body': json.dumps({ 'message': 'internal server error', }) }
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def get_next_pid(custom_xml): """Get highest pid from XML file.""" maxPid = 0 e = xml.fromstring(custom_xml) for prop in e: if 'pid' in prop.keys(): thisPid = int(prop.get('pid')) if maxPid < thisPid: maxPid = thisPid return str(maxPid + 1)
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def pad_input_ids_msmarco(input_ids, max_length, pad_on_left=False, pad_token=0): """An original padding function that is used only for MS MARCO data.""" padding_length = max_length - len(input_ids) padding_id = [pad_token] * padding_length if padding...
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def batch_iter(data, batch_size, shuffle): """ each data item is a tuple of lables and text """ n_batches = int(np.ceil(len(data) / batch_size)) indices = list(range(len(data))) if shuffle: np.random.shuffle(indices) for i in range(n_batches): batch_indices = indices[i * batch_size...
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def get_child_context(xml_node: XmlNode, parent_node: Node, _: RenderingContext) -> RenderingContext: """Return""" return RenderingContext({ 'parent_node': parent_node, 'node_globals': InheritedDict(parent_node.node_globals), 'xml_node': xml_node })
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def generate_map(lat, lon): """ Generate a map object for a given set of latitude and longtitude """ distances = _distance_from_coordinates(lat, lon) # Sort distances in ascending order sorted_distances = sorted(distances) split_distances = sorted_distances[:2 * app.config["NUM_OF_HOTSPOTS"]...
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def test_check_007(): """ Font designer field in METADATA.pb must not be 'unknown'. """ from fontbakery.specifications.googlefonts import (com_google_fonts_check_007 as check, family_metadata) good = family_metadata("data/test/merriweather/") print('Test PASS...
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def error_message(page_user) -> None: """I should see the error message.""" p_action = UpdateUserAction(_page=page_user) assert p_action.has_failed() is True
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def build_grid_ds_tf(sorted_keys, num_cells, batch_size, name=None): """ Method to build a fast access data structure for point clouds. Creates a 2D regular grid in the first two dimension, saving the first and last index belonging to that cell array. Args: sorted_keys: An `int` `Tensor` of shape `[N]`, t...
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def check_class(module_name, class_name, packages=None, pip_args=None): """ Checks whether a class is present in the specified module and (tries to) install if packages have been provided. :param module_name: the module to check :type module_name: str :param class_name: the name of the class to che...
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def create_group(opp, name): """Create a new person group. This is a legacy helper method. Do not use it for new tests. """ data = {ATTR_NAME: name} opp.services.call(DOMAIN, SERVICE_CREATE_GROUP, data)
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def getsyncat(word): """Returns a list of all syntactic categories of the word as strings or an empty list if no results.""" syncats = ', '.join(list(SYNCAT_ORDER.values())) tup = (word.upper(),) c.execute('''SELECT {0} FROM syncat WHERE word=?'''.format(syncats), tup) result = c.fetchone() re...
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def pin_to_core(worker): """ Worker is a handle to a remote Ray actor with a `run_fn` method. """ resource_ids = ray.get(worker.run_fn.remote((lambda: ray.get_resource_ids()))) cpu_idx = resource_ids["CPU"][0][0] ray.get(worker.run_fn.remote((lambda: psutil.Process().cpu_affinity([cpu_idx]))))
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def prompt_for_instances(ecs_instances, asg_contents, scale_down=False, sort_by="launch_time"): """ sorts the instances into an order that tries not to cause an AZ imbalance when removing instances. Also, prompts the user if there are issues. @param ecs_instances: list of ECSInstance() objects @para...
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def classifier_extra_metrics(features, labels, predictions): """Returns extra metrics to use with classifier.""" if 'logistic' in predictions: return { 'my_mean_prediction': tf.compat.v1.metrics.mean(predictions['logistic']), 'my_mean_age': tf.compat.v1.metrics.mean(featu...
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def getAnswer(x,input_string): """Iegūst mainīgajam x vērtību 1 vai 2, parādot tekstu input_string. Ja ievadīta nepareiza vērtība, tad tiek paradīta kļūdas ziņa.""" while True: try: x = int(input(input_string)) if x < 1: raise ValueError elif x > 2: r...
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def test_instantiation(): """test the instantiation of a escpos-printer class and basic printing""" instance = printer.Dummy() instance.text('This is a test\n')
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def get_model_version_uri(project_id: int, model_id: Text, version: Text) -> Text: """Get model version URI. Args: project_id {int}: project id model_id {Text}: model id (name) version {Text}: model version Returns: Text: path to model package for model version """ p...
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def _depc_factory(name, cache_dir): """DependencyCache factory for the examples Args: name (str): name of the cache (e.g. 'annot') cache_dir (str): name of the cache directory """ cache_dpath = HERE / cache_dir controller = DummyController(cache_dpath) depc = DependencyCache( ...
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def nx_to_pandas(g): """ Convert directed multigraph stored as NetworkX MultiDiGraph into Pandas DataFrame. Parameters ---------- g : networkx.MultiDiGraph Directed multigraph to convert. Returns ------- df_node : pandas.DataFrame Node attributes. The NetworkX identifie...
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def get_case_properties(patient, importer): """ Returns case name and dictionary of case properties to update Raises ConfigurationError if a value cannot be deserialized using the data types given in a column mapping. """ name_columns = importer.name_columns.split(' ') case_name = ' '.join(...
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def review_log(request, type, ctype_id, obj_id): """ Display list of record changes and allow user to select status (approved/not approved) """ current_user = request.user log_list = LogEntry.objects.filter(content_type_id=ctype_id, object_id=obj_id) if type == 'user': # exclude chang...
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def left2right_decode( symbols_to_logits_fn, start_symbols, context_BxU_dict, batch_size, max_decode_len, vocab_size, top_p, temperature, beam_size = 1, beam_start = 5, beam_alpha = 0.6, beam_min = 0, beam_max = -1, eos_id = 1, ): """left to right decode. N...
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def test_empty_graph(graph_empty): """ this test check to see if empty graph contains a value. """ assert graph_empty.has_vert('foo') is False
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def encode_key( key: str, value: Optional[Union[int, float, str]] = None, value_type: str = "str" ) -> bytes: """Encode given header key to a bytes string. Parameters ---------- key : str header key value : Optional[Union[int, float, str]], optional value of the header key, by d...
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def loads(*args, **kwargs): """ calls json.loads """ return json.loads(*args, **kwargs)
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def windows_create_static_package(input_hat_binary_path, output_hat_path, hat_file, quiet=True): """Creates a Windows static .lib HAT package from a static .obj HAT package""" # Confirm that this is a static hat library _, extension = os.path.splitext(input_hat_binary_path) if extension != ".obj": ...
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def hashIter(bytesiter, hasher, ashexstr=True): """Will hash the blockIter generator and return digest""" for block in bytesiter: hasher.update(block) return hasher.hexdigest() if ashexstr else hasher.digest()
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def parse(code, delimiter=' '): """Return the result of the RPN calculation of the `code` string or list. Supported operatorations are * +, -, *, mult, /, div, //, idiv, pow, %, mod * sin, cos, tan, asin, acos, atan, sqrt, sqr, abs, exp Args: code (str|list): string of ...
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def get_session(autocommit=True, expire_on_commit=False, use_slave=False): """Helper method to grab session.""" facade = _create_facade_lazily() return facade.get_session(autocommit=autocommit, expire_on_commit=expire_on_commit, use_slave=use_slave...
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def test_basicdataset_export_round_trip(public_client): """ Test basic dataset round tripping to file. """ with temp_directory(): result = BasicCollectionResult.from_server( client=public_client, dataset_name="OpenFF Gen 2 Opt Set 1 Roche", spec_name="default...
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def test_141_parseWind_nonstd(): """Check parsing of nonstandard wind groups.""" def report(wind_group): """(Macro) Return Metar object from parsing the given wind group.""" return Metar.Metar(sta_time + wind_group) assert report("OOOOOKT").wind_speed.value() == 0 assert report("OOOOOK...
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def query_aisc_shapes(shape=None, metric=False, version=None): """ Queries the AISC steel shape database and returns a list of the shape names in the specified shape category. Parameters ---------- shape : str The shape for which names will be returned. If None, all shape names ...
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def upload_avatar(): """保存图片""" # 提取参数 req_data = request.files.get("image") # 校验参数 if not req_data: return jsonify(errno=RET.PARAMERR, errmsg="请选择图片文件") # 保存图片 file_data = req_data.read() try: filename = upload_image(file_data) except Exception as e: current...
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def get_roster_alltime(team_id, start_year=START_YEAR, end_year=END_YEAR): """Return the roster file of team with matching id.""" try: return urlopen(ROSTER_ALLTIME_URL.format(team_id, start_year, end_year)) except HTTPError: raise ValueError('Could not find a roster for a team with that id....
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def test_check_datetime(): """Test if check_datetime throws an exception if an improperly formatted datetime is found.""" a = { 'start': '2016-12-30T11:30:00Z', } check_datetime('upsert_event', a, ('start',)) a = { 'start': '2016-12-30T11:30:00+4506', } with pytest.raises(PyC...
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def induced_subgraph(G, nbunch): """Returns a independent deep copy subgraph induced on nbunch. The induced subgraph of a graph on a set of nodes N is the graph with nodes N and edges from G which have both ends in N. Parameters ---------- G : NetworkX Graph nbunch : node, container of nod...
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def get_calib_images(calib_img_paths, calib_img_names, resimgs=False): """Reads and returns images used for calibration.""" calibImages = [] calibImgNames = [] for calib_img_path, calib_img_name in zip(calib_img_paths, calib_img_names): calibImage = cv2.imread(calib_img_path) if ca...
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def test(testpath, import_models=True, verbose=False): """ Run doctests in web2py environment. testpath is formatted like: a tests all controllers in application a a/c tests controller c in application a a/c/f test function f in controller c, application a Where a, c and f are applica...
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def test_RepartitionedHybridTopologyFactory_energies(): """ Test whether the difference in the nonalchemical zero and alchemical zero states is the forward valence energy. Also test for the one states. """ from perses.tests.test_topology_proposal import generate_atp from openmmforcefields.generato...
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def make_image(imagePath, detections): """ returns "image": a numpy array representing an image, compatible with scikit-image """ image = io.imread(imagePath) logger.info("*** "+str(len(detections))+" Results, color coded by confidence ***") imcaption = [] for detection in detections: ...
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def html_chemname_format(name): """ Format a chemical formula to display subscripts and superscripts in HTML (e.g., Plotly plots) Example, "CH3COO-" becomes "CH<sub>3</sub>COO<sup>-</sup>" Parameters ---------- name : str A chemical formula. Returns ------- ...
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def from_shape_and_word(shape, word): """ Returns the ribbon corresponding to the given ribbon shape and word. EXAMPLES:: sage: import sage.combinat.ribbon as ribbon sage: ribbon.from_shape_and_word([2,3],[1,2,3,4,5]) [[1, 2], [3, 4, 5]] """ pos = 0 r = [] for l...
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def dcm_to_hvdict( unique_id, slice_paths, patient_name='', mri_type = '', segmentation_info=None, seg_label_info=None, visualization_parameters_override=None ): """ Given a list of dcm file names, creates a dehydrated version of an hv object as a dict. Slices with blank segmenta...
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def normalize(X, Y=None): """ Normalise X and Y according to the mean and standard deviation of the X values only. """ # # It would be possible to normalize with last rather than mean, such as: # lasts = np.expand_dims(X[:, -1, :], axis=1) # assert (lasts[:, :] == X[:, -1, :]).all(), "{}, {}, {}...
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def import_maplight_from_json_view(request): """ Take data from Test XML file and store in the local Voting Info Project database """ # If person isn't signed in, we don't want to let them visit this page yet if not request.user.is_authenticated(): return redirect('/admin') import_mapli...
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def create_app(): """ Function Construct the core application for the flask """ app = Flask(__name__) CORS(app) app.config.from_object('config.Config') """ Initializing the sqlalchemy db with the app """ db.init_app(app) """ Creating the app context ""...
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def move_polygons(polygons, from_grid, to_grid=None): """ A function that moves polygons to the origin bounding box (0, 250, 250, 250) """ if(to_grid): x_displacement = (from_grid // 10) - (to_grid // 10) y_displacement = (from_grid % 10) - (to_grid % 10) else: x_displacemen...
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def get_output_template(config: Dict, software: Union[PlacementSoftware, AlignmentSoftware], extension: str, **kwargs) -> str: """ Creates a name template of .{extension} output files produced by specific software. Used to produce .tree, .align etc. file name templates. Stored in the...
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def create_tf_strings_model(): """ A model that concatenates two input strings """ g = tf.Graph() with g.as_default(): with tf.name_scope("some_namespace"): x = tf.placeholder(tf.string, name="in_x") y = tf.placeholder(tf.string, name="in_y") # Assigned t...
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def get_numeric_project_id(gcloud, project_id): """Get the numeric project ID.""" project_info = json.loads( gcloud.run('projects', 'describe', project_id, '--format=json')) return project_info['projectNumber']
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def vstran(d1: np.ndarray, d2: np.ndarray) -> tuple: """calculate variance stabilized weights Calculation of variance stabilized weights which describes in paper in section "Variance stabilized weights" Parameters ---------- d1 : np.ndarray 1d ndarray of diagonal elements d2 : np.n...
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def send_real_person_status(status=None, channel=None): """Send the status of the person to the websocket. :param status: the current status of the RealPerson, will fetch the status automatically :param channel: an outgoing reply channel, defaults to the entire group """ if channel is None: ...
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def count_local_minmax(A): """ Count local max and min @author Akafael """ n = len(A) # Trivial Solution if n <= 1: return 1 # Calculate the diff B = [] count = 0 isRising = False isFalling = False for i in range(1, n - 1): B.append(A[i + 1] - A[i]...
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def ensure_directory(path): """Ensure that the parent directory of `path` exists""" dirname = os.path.dirname(path) if not os.path.isdir(dirname): os.makedirs(dirname)
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def fitness(individual,target): """ individual : the individual to evaluate (a list) target : the target sum the individuals are aiming for """ sum = reduce(add,individual,0) return abs(target-sum)
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def dynamic_gru(input, size, param_attr=None, bias_attr=None, is_reverse=False, gate_activation='sigmoid', candidate_activation='tanh', h_0=None, origin_mode=False): """ :api_attr: Static...
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def purpleStraightLine(l): """Draws a purple straight line. Args: Length of line.""" pencolor("#cc00ff") for pixels in range(l): forward(1)
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def create_schema(name: str) -> str: """Function for generating create schema statements :param str name: The name of the schema :return: Create statement :rtype: str """ statement = f"CREATE SCHEMA {name}" return statement
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def sec_validation_correctness(): """ Determine the actual status of each process to compare with simulation results and understand the accuracy of multiple blockchain validations """ # Each validator has 85% accuracy of correct secondary validation # Array that tabulates validation status of ea...
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