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def get_current_time(): """just returns time stamp """ time_stamp = datetime.datetime.fromtimestamp( time()).strftime('%Y-%m-%d %H:%M:%S') return time_stamp
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def get_bad_fname(p, subj, check_exists=True): """Get filename for post-SSS bad channels.""" bad_dir = op.join(p.work_dir, subj, p.bad_dir) if not op.isdir(bad_dir): os.mkdir(bad_dir) bad_file = op.join(bad_dir, 'bad_ch_' + subj + p.bad_tag) if check_exists: bad_file = None if not op...
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def inference(config): """ Args: config (TYPE): NULL Returns: TODO Raises: NULL """ if config.model.init_model_params is None: raise RuntimeError("config.init_model_params should be a valid model path") dataset_config = {'db_file': config.data.db, 'i...
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def test_check_git_version(mocker, git_version, expected_exception): """Tests core._check_git_version""" mocker.patch('tidy.utils.shell_stdout', autospec=True, return_value=git_version) with expected_exception: core._check_git_version()
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def test_atomic_ncname_min_length_nistxml_sv_iv_atomic_ncname_min_length_1_5(mode, save_output, output_format): """ Type atomic/NCName is restricted by facet minLength with value 1. """ assert_bindings( schema="nistData/atomic/NCName/Schema+Instance/NISTSchema-SV-IV-atomic-NCName-minLength-1.xsd...
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async def test_script_mode_2(hass, hass_ws_client, script_mode, script_execution): """Test overlapping runs with max_runs > 1.""" id = 1 def next_id(): nonlocal id id += 1 return id flag = asyncio.Event() @callback def _handle_event(_): flag.set() event = ...
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def ease_of_movement(high, low, close, volume, n=20, fillna=False): """Ease of movement (EoM, EMV) It relate an asset's price change to its volume and is particularly useful for assessing the strength of a trend. https://en.wikipedia.org/wiki/Ease_of_movement Args: high(pandas.Series): da...
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def Document(docx=None, word_open_xml=None): """ Return a |Document| object loaded from *docx*, where *docx* can be either a path to a ``.docx`` file (a string) or a file-like object. Optionally, ``word_open_xml`` can be specified as a string of xml. Either ``docx`` or `word_open_xml`` may be specif...
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def save_raw_shots_as_txt(outdir, ds, wl_idx, chan, pump_idx): """Save each shot at a given wavelengths as a CSV. """ if not outdir.exists(): outdir.mkdir() points, _, shots, wavelengths, _ = ds.shape ts = core.time_axis(length=points) tmp = np.empty((points, 3, shots, wavelengths, 2)) ...
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def write_geogrid_var(path_dir,varname,array,index,bits=32,coord=None): """ write geogrid dataset and index """ path_dir=osp.abspath(path_dir) logging.info('write_geogrid_var path_dir=%s varname=%s array=%s index=%s' % (path_dir, varname, inq(array), str(index))) if not osp.exists(path_dir): ...
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def css_tag(parser, token): """ Renders a tag to include the stylesheet. It takes an optional second parameter for the media attribute; the default media is "screen, projector". Usage:: {% css "<somefile>.css" ["<projection type(s)>"] %} Examples:: {% css "myfile.css" %} ...
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def main(srcdir, destdir): """Main parser and generator function. :param srcdir: directory holding source NeuroML Core Type XML files :type srcdir: str :param destdir: directory where generated files should be stored :type destdir: str :returns: nothing """ # If not defined or empty, ...
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def camelcase(path): """Applies mixedcase and capitalizes the first character""" return mixedcase('_{0}'.format(path))
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def ImproveData_v2 (Lidar_DataOld,Lidar_Data,Data_Safe,Speed,orientation,orientationm1): """ The function calculates new positions for obstacles now taking into account the car's relative speed in relation to each point. We need the accelerometer for that. Return: Advanced...
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def label_by_track(mask, label_table): """Label objects in mask with track ID Args: mask (numpy.ndarray): uint8 np array, output from main model. label_table (pandas.DataFrame): track table. Returns: numpy.ndarray: uint8/16 dtype based on track count. """ assert mask.s...
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def load_guidata(filename, report): """Check if we have a GUI document.""" report({'INFO'}, "load guidata..") guidata = None zdoc = zipfile.ZipFile(filename) if zdoc: if "GuiDocument.xml" in zdoc.namelist(): gf = zdoc.open("GuiDocument.xml") guidata = gf.read() ...
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def question_answers(id2line, convos): """ Divide the dataset into two sets: questions and answers. """ questions, answers = [], [] for convo in convos: for index, line in enumerate(convo[:-1]): questions.append(id2line[convo[index]]) answers.append(id2line[convo[index + 1]])...
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def subgrid_kernel(kernel, subgrid_res, odd=False, num_iter=100): """ creates a higher resolution kernel with subgrid resolution as an interpolation of the original kernel in an iterative approach :param kernel: initial kernel :param subgrid_res: subgrid resolution required :return: kernel with...
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def get_spacy(): """ Loads the spaCy english processor. Tokenizing, Parsing, and NER are enabled. All other features are disabled. Returns: A spaCy Language object for English """ logging.info('Loading spaCy...') import spacy.en nlp = spacy.en.English(tagger=False, parser=True,...
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def exec_cmd(cmd_dict, cwd='../', domain_name=None): """Executing shell installing-app""" key = cmd_dict.keys()[0] val = cmd_dict[key] cmd = "echo {desc} && {cmd}".format(desc=val, cmd=key) if val else key p = subprocess.Popen(cmd, cwd=cwd, shell=True, stdout=None, stderr=None) return_code = p.wait() if return...
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def get_JDs(period='102', night=True, arrays=True, verbose=True): """ Get the Julian days for all ESPRESSO GTO runs in a given period. If `night`=True, return the JD of sunset and sunrise. This function returns the runs' start and end in arrays (lists if `arrays`=False). """ if night: #...
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def my_mutate(chromo,maxVal): """ Input: chromo: Chromosome maxVal: Largest value +1 the chromosome can take Output: returns a sequence of Perceptually important point (PIP) identification and the corresponding time values of size Q_length """ if (ran...
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def normalize_breton(breton_string: str) -> str: """Applies Breton mutations.""" return (breton_string.strip().lower() @ DO_PREPROCESSING @ DO_SOFT_MUTATION @ DO_HARD_MUTATION @ DO_SPIRANT_MUTATION @ DO_POSTPROCESSING).string()
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def load_mnist(raw=False): """Loads MNIST dataset from `DATA_PATH` or downloads it if necessary. :param raw: `True` if no preprocessing should be applied to the data. Otherwise, data is normalized to 1. :type raw: `bool` :return: `(x_train, y_train), (x_test, y_test), min, max` :rtype: `(np.ndarray...
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def word_flag(*args): """ word_flag() -> flags_t Get a flags_t representing a word. """ return _ida_bytes.word_flag(*args)
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def get_spark_config(predictrip_config: Mapping[str, Mapping[str, str]]) -> SparkConf: """ Create an object representing the Spark configuration we want :type predictrip_config: mapping returned by load_config containing configuration options :return: pyspark.SparkConf instance """ # NOTE: cont...
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def test_version(): """Test version string.""" from counter_robots import __version__ assert __version__
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def get_sequence_annotations( sequence: str, allow: Optional[set] = {"H", "K", "L"}, scheme: Optional[str] = "chothia", cdr1_scheme: Optional[Dict[str, Iterable]] = { "H": range(26, 33), "L": range(24, 35), }, cdr2_scheme: Optional[Dict[str, Iterable]] = { "H": range(52, ...
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def skew(variable=None, weights=None, data=None): """Return the asymmetry coefficient of a sample. Parameters ---------- data : pandas.DataFrame variable : array-like, str weights : array-like, str data : pandas.DataFrame Object which stores ``variable`` and ``weights``. Return...
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def deep_initial_state(batch_size, h_size, stack_size): """ Function to make a stack of inital state for a multi-layer GRU. """ return tuple(static_initial_state(batch_size, h_size) for layer in range(stack_size))
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def create_element(pan_elem, elem_type=None)->Element: """ Find the element type and call constructor specified by it. """ etype = 'ELEMENT TYPE MISSING' if elem_type is not None: etype = elem_type elif 't' in pan_elem: etype = pan_elem['t'] elif 'pandoc-api-version' in pa...
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def load_weights(variables, file_name): """Reshapes and loads official pretrained Yolo weights. Args: variables: A list of tf.Variable to be assigned. file_name: A name of a file containing weights. Returns: A list of assign operations. """ with open(file_name, "rb") as f: ...
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def parsing_sa_class_id_response(pdu: list) -> int: """Parsing TaiSEIA class ID response protocol data.""" packet = SAInfoResponsePacket.from_pdu(pdu=pdu) if packet.service_id != SARegisterServiceIDEnum.READ_CLASS_ID: raise ValueError(f'pdu service id invalid, {pdu}') return int.from_bytes(packe...
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def wrr(self) -> int: """ Name: Write ROM port. Function: The content of the accumulator is transferred to the ROM output port of the previously selected ROM chip. The data is available on the output pins until a new WRR is execute...
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def clear_console(): """ Clear the console. POSIX refers to OSX/Linux. """ os.system('clear' if os.name == 'posix' else 'cls')
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def test_section_is_applied(): """Test Section is_applied method.""" section_file = Section() section_file.read = utils.mock_read(SECTION_STR) assert section_file.is_applied(FILE_WITH_SECTION_STR) assert not section_file.is_applied(FILE_WITHOUT_SECTION_STR)
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def info(message, **formatting): """ Return an info message to the command line """ click.secho(message, fg = 'blue', **formatting)
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def convert_to_signed_int_32_bit(hex_str): """ Utility function to convert a hex string into a 32 bit signed hex integer value :param hex_str: hex String :return: signed 32 bit integer """ val = int(hex_str, 16) if val > 0x7FFFFFFF: val = ((val+0x80000000) & 0xFFFFFFFF) - 0x80000000 ...
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def parent_node(max_child_node, max_parent_node): """ Parents child node into parent node hierarchy :param max_child_node: MaxPlus.INode :param max_parent_node: MaxPlus.INode """ max_child_node.SetParent(max_parent_node) return max_child_node
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def average_error2(func1, func2, k, n = 12, cycles = 10): """ Compares the path length calculated by func2 and func1. This assumes that func1 produces the optimal path length and func2 is k_optimized_path. n: number of nodes cycles: how many times to generate a new set of nodes and run func1 an...
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def mem_naq(): """ mem_naq() Defined at ../src/mem_naq.f lines 198-449 """ _min3p.f90wrap_mem_naq()
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def get_user(): """从终端获取用户输入的QQ号及密码""" username = input('please input QQ number: ').strip() if not re.match(r'^[1-9][0-9]{4,9}$', username): logging.error('\033[31mQQ number is wrong!\033[0m') sys.exit(1) import getpass password = getpass.getpass('password: ') return { ...
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def to_numpy_or_python_type(tensors): """Converts a structure of `Tensor`s to `NumPy` arrays or Python scalar types. For each tensor, it calls `tensor.numpy()`. If the result is a scalar value, it converts it to a Python type, such as a float or int, by calling `result.item()`. Numpy scalars are c...
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def _get_flow(args): """Ensure the same flow is used in hello world example and system test.""" return ( Flow(cors=True) .add(uses=MyTransformer, replicas=args.replicas) .add(uses=MyIndexer, workspace=args.workdir) )
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def get_group_id( client: AlgodClient, txids: list ) -> list: """ Gets Group IDs from Transaction IDs :param client: an AlgodClient (GET) :param txids: Transaction IDs :return: gids - Group IDs """ # Get Group IDs gids = [] print("Getting gids...") ...
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def _simple_proc(st, sampling_rate=10, njobs=1): """ A parallel version of `_proc`, i.e., Basic processing including downsampling, detrend, and demean. :param st: an obspy stream :param sampling_rate: expected sampling rate :param njobs: number of jobs or CPU to use :return st: stream after pro...
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def closing_time(date=datetime.date.today()): """ Get closing time of the current date. """ return datetime.time(13, 0) if date in nyse_close_early_dates(date.year) else datetime.time(16, 0)
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def create_docker_network(network_name: str) -> None: """Create docker network. For more details see https://docs.docker.com/engine/reference/run/#network-settings Args: network_name (str): name of docker network. """ print("Creating docker network ...") try: args = ["dock...
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def test_read_datafiles_no_data_error(tmp_path): """Exit with error message after blank line found.""" os.chdir(tmp_path) Path("foo").write_text("") Path("bar").write_text("") with pytest.raises(SystemExit): read_datafiles()
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def begin_watch(server=SERVER, port=PORT, debug=False, username=None, password=None): """Begin watching the RFID scanner and camera for visitors. If a person's face is found, it is saved as a file and then sent off to the server to be validated. When debug is True, the camera output is displayed on th...
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def get_distances(df): """Shows the edits between two postMessages.""" for _, row in df.loc[df["method"] == "gp_window_postMessage"].iterrows(): cases = [(row["value_cookies"], row["value_no_cookies"])] for a, b in cases: print('{} => {}'.format(a,b)) for i,s in en...
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def test_constants(): """Test constants packaged with tfm""" assert tfm.CROP_SIZE[0] == tfm.CROP_SIZE[1] assert tfm.CROP_OVERLAP < tfm.CROP_SIZE[0] assert tfm.DET_SIZE[0] == tfm.DET_SIZE[1] assert tfm.CLF_SIZE[0] == tfm.CLF_SIZE[1] assert len(tfm.OD_CLASSES) == 37 assert len(tfm.CLF_CLASSE...
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def cos_fp16(x: tf.Tensor) -> tf.Tensor: """Run cos(x) in FP16, first running mod(x, 2*pi) for range safety.""" if x.dtype == tf.float16: return tf.cos(x) x_16 = tf.cast(tf.mod(x, 2 * np.pi), tf.float16) return tf.cos(x_16)
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def install(): """ Call this function to install Mosketch for Maya mosketch_for_maya.install() """ shelf_name = "MosketchForMaya" # First get maya "official" shelves layout top_level_shelf_layout = mel.eval("global string $gShelfTopLevel; $temp = $gShelfTopLevel;") # Get all shelves...
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def new(**kwargs): """Host a new project in the framework""" CMD.run(API, 'new', **kwargs)
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def test_convert_tweet_to_xy_generator(): """ test the generator function """ my_dict = {'text': ["red and yellow and pink and green, orange and purple and blue, I can sing a rainbow, sing a rainbow, sing a rainbow too", "sweet dreams are made of this, who am I to disagree, trave...
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def deletePlayers(): """Remove all the player records from the database.""" db = connect() c = db.cursor() c.execute('DELETE FROM players') db.commit() db.close()
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def is_documented_by(original: Callable) -> Callable[[_F], _F]: """ Decorator to set the docstring of the ``target`` function to that of the ``original`` function. This may be useful for subclasses or wrappers that use the same arguments. :param original: """ def wrapper(target: _F) -> _F: document_object_fr...
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def check_if_bst(root, min, max): """Given a binary tree, check if it follows binary search tree property To start off, run `check_if_bst(BT.root, -math.inf, math.inf)`""" if root == None: return True if root.key < min or root.key >= max: return False return check_if_bst(root.left,...
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def assert_widget_image(tmpdir, widget, filename, fail_now=True): """ Render an image from the given WWT widget and assert that it matches an expected version. The expected version might vary depending on the platform and/or OpenGL renderer, so we allow for multiple references and just check if *any...
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def create_video_file( root: Union[pathlib.Path, str], name: Union[pathlib.Path, str], size: Union[Sequence[int], int] = (1, 3, 10, 10), fps: float = 25, **kwargs: Any, ) -> pathlib.Path: """Create an video file from random data. Args: root (Union[str, pathlib.Path]): Root directory...
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def dump(input, variable, encoding): """ Dump contents of an input dataset. """ from xcube.api import open_dataset, dump_dataset with open_dataset(input) as ds: text = dump_dataset(ds, var_names=variable, show_var_encoding=encoding) print(text)
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def test045_compress_with_extra_files(): """TC435 Test case for compressing files with extra files. **Test scenario** #. Create two tree with some files and directories. #. Compress the first tree with extrafiles using the second tree. #. Uncompress this output file. #. Check that second tr...
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def aggregate(collection, pipeline): """Executes an aggregation on a collection. Args: collection: a `pymongo.collection.Collection` or `motor.motor_tornado.MotorCollection` pipeline: a MongoDB aggregation pipeline Returns: a `pymongo.command_cursor.CommandCursor` or ...
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def decryptAES(key, data, mode=2): """decrypt data with aes key""" return aes.decryptData(key, data, mode)
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def __ipv6_safe_get(endpoint: str, addr: str) -> str: """HTTP GET from endpoint with IPv6-safe Host: header Args: endpoint: The endpoint path starting with / addr: full address (IPV6 or IPv4) of server Notes: * This is needed because the Pyton requests modul...
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def generateModels(y0, yN, yearsInModel, stepYears, modelFolder): """Generate time shifting w2v models on the given time range (y0 - yN). Each model contains the specified number of years (yearsInModel). The start year of each new model is set to be stepYears after the previous model. Resulting models a...
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def test_count_days_method_returns_dict(): """Test the count days method returns a dictionary.""" jd = JobData('test') assert isinstance(jd.count_days(), dict)
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def format_advertisement(data): """ format advertisement data and scan response data. """ resolve_dict = { # FLAGS AD type st_constant.AD_TYPE_FLAGS: 'FLAGS', # Service UUID AD types st_constant.AD_TYPE_16_BIT_SERV_UUID: '16_BIT_SERV_UUID', st_constant.AD_TYPE_16_BIT_SERV...
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def main(): """Handle command-line interface.""" from docopt import docopt arguments = docopt(__doc__) if sys.stdout.encoding is None: encoding = 'utf-8' else: encoding = sys.stdout.encoding runeberg = Runeberg() if arguments['download-catalogue']: runeberg.downloa...
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def is_dicom_file(path): """Check if the given path appears to be a dicom file. Only looks at the extension, not the contents. Args: path (str): The path to the dicom file Returns: bool: True if the file appears to be a dicom file """ path = path.lower() for ext in DICOM_E...
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def iter_weather(city='Washington',state='DC'): """Returns an iterator giving weather for today, tomorrow, and the day after""" weather = miniweather.getweather(city=city,state=state) for i in weather.keys(): yield weather[i]
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def check_if_in_interval(interval, value, in_par, name): """ Checks if the value is within the interval :param interval: The interval of input parameter in_par :param value: The value of input parameter in_par :param in_par: The value of the input parameter :param name: The na...
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def print_each(text): """ Prints each character of text on a line by itself Example: print_each('abc') displays a b c Parameter text: The string to split up Precondition: text is a string """ x = text[0] print(x) x = test[1] print(x) … x = text[l...
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def build_graph(df_list, sens='ST', top=410, min_sens=0.01, edge_cutoff=0.0, edge_width=150, log=False): """ Initializes and constructs a graph where vertices are the parameters selected from the first dataframe in 'df_list', subject to the constraints set by 'sens', 'top', and 'min_sens...
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def inc_dict_values_from_file(path): """Reads a dict with numbers as values from file, increments the values, and writes the updated dict back to the same file, overriding the original one. Parameters ---------- path : str Path to file, including filename. """ data = read_json(path) inc_dict_valu...
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def test_ground_truth_loader_filter_with_parameter_overrides(mock_data: dict): """Test the parameter_override input functionality""" mock_data[GroundTruthLoaderFilter.KEY_PARAMETER_OVERRIDE] = { "lambda_blood_brain": 3.1, "a_new_parameter": 1, } gt_filter = GroundTruthLoaderFilter() ...
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def ranking_scores(prng=None, mix=False, permute=False, gamma=0.01, beta=5., N=100, l=1, means=None, stds=None): """ Generate the ranking scores. Parameters ---------- prng : random generator container Seed for the random number generator. mix : bool ...
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def calculate_direction(G, cutoff, normalize=True): """ Calculate direction for entire network Parameters ---------- G : nx.graph Fault network cutoff : int, float Cutoff distance for direction normalize : bolean Normalize direction (default: True) ...
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def generateVtBar(row): """生成K线""" bar = VtBarData() bar.symbol = row['code'] bar.exchange = '' bar.vtSymbol = bar.symbol bar.open = row['open'] bar.high = row['high'] bar.low = row['low'] bar.close = row['close'] bar.volume = row['volume'] bar.datetime = datetime.strpti...
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def test_validate_experiment_requests(exp_request, expected_result): """Tests that validate_experiment_requests returns True for valid fuzzres and False for invalid ones.""" assert (automatic_run_experiment.validate_experiment_requests([exp_request]) is expected_result)
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async def is_valid_channel(ctx, channel_name): """ TODO: Use discord.py converters instead of is_valid_channel check """ matched_channels = [ channel for channel in ctx.guild.channels if channel.name == channel_name ] if len(matched_channels) == 0: await ctx.send( "Ca...
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def coords_to_id(traversed): """calculate the id in level-order from the coordinates Args: input: traversed tree as list of dict Returns: traversed tree (dict) with id as key """ traversed_id = {} #print('coords to id, traversed ', traversed) for node in traversed: ...
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def dataframe_to_ipy_image(df, f=None, **kwargs): """Create IPython Image from PIL Image. Args: df - dataframe to render f - operation to perform on PIL Image (e.g. f=lambda img: img.rotate(-90, expand=True)) kwargs - arguments to IPython.display.Image, such as width and height for html display ...
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def get_yaml_file_info(file_name): """Loads a yaml file into a dictionary Args: file_name (str): The file to load Returns: Raises: ProgramError """ if not os.path.isfile(file_name): print("Cannot find file %s" % file_name) raise ProgramError(1) with open(fi...
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def cleanup(): """ Cleans up existing terminals before exit. """ tmp = copy.copy(manager.term_pool) for term in tmp: manager.terminate(term.id)
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def read_dmarkov(columns, rows, D, symbolization_type, division_order, suffix=["normal", "gaussian002"]): """ Reads the result files for the D-Markov algorithm. The function requires a configuration for the parameters of the D-Markov. The suffix parameter indicates if the non-modified files should be loaded...
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def compute_output_shape(observation_space, layers): """Compute the size of the output after passing an observation from `observation_space` through the given `layers`.""" # [None] adds a batch dimension to the random observation torch_obs = torch.tensor(observation_space.sample()[None]) with torch....
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def tenure_type(): """ RESTful CRUD controller """ return s3_rest_controller(#rheader = s3db.stdm_rheader, )
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def _format_port(port): """ compute the right port type str Arguments ------- port: input/output port object Returns ------- list a list of ports with name and type """ all_ports = [] for key in port: one_port = {} one_port['name'] = key port...
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def account_deleted(sender, instance, **kwargs): """Remove document.""" delete_credentials(instance)
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def getTileName(minfo,ti,xIndex,yIndex,level = -1): """ creates the tile file name """ global LastRowIndx max = ti.countTilesX if (ti.countTilesY > max): max=ti.countTilesY countDigits= len(str(max)) parts=os.path.splitext(os.path.basename(minfo.filename)) if parts[0][0]=="@...
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def proc_cgroups(proc='self'): """Read a process' cgroups :returns: ``dict`` - Dictionary of all the process' subsystem and cgroups. """ assert isinstance(proc, int) or '/' not in proc cgroups = {} with io.open(_PROC_CGROUP.format(proc), 'r') as f: for cgroup_line in f: ...
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def load_csv_data( data_file_name, *, data_module=DATA_MODULE, descr_file_name=None, descr_module=DESCR_MODULE, ): """Loads `data_file_name` from `data_module with `importlib.resources`. Parameters ---------- data_file_name : str Name of csv file to be loaded from `data_modu...
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def ptFromSudakov(sudakovValue): """Returns the pt value that solves the relation Sudakov = sudakovValue (for 0 < sudakovValue < 1) """ norm = (2*CA/pi) # r = Sudakov = exp(-alphas * norm * L^2) # --> log(r) = -alphas * norm * L^2 # --> L^2 = log(r)/(-alphas*norm) L2 = log(sudakovVal...
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def _set_lod_2(gml_bldg, length, width, height, bldg_center): """Adds a LOD 2 representation of the building based on building length, width and height alternative way to handle building position Parameters ---------- gml_bldg : bldg.Building() object A building object, where bldg is ...
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def load_data(filename: str): """ Load Agoda booking cancellation dataset Parameters ---------- filename: str Path to house prices dataset Returns ------- Design matrix and response vector in either of the following formats: 1) Single dataframe with last column representing ...
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def send_mail(subject, message, from_email, recipient_list, html_message='', scheduled_time=None, headers=None, priority=PRIORITY.medium): """ Add a new message to the mail queue. This is a replacement for Django's ``send_mail`` core email method. """ subject = force_text(subject) ...
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def proxy_a_distance(source_X, target_X): """ Compute the Proxy-A-Distance of a source/target representation """ nb_source = np.shape(source_X)[0] nb_target = np.shape(target_X)[0] train_X = np.vstack((source_X, target_X)) train_Y = np.hstack((np.zeros(nb_source, dtype=int), np.ones(nb_targe...
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def load_metadata(stock_model_name="BlackScholes", time_id=None): """ load the metadata of a dataset specified by its name and id :return: dict (with hyperparams of the dataset) """ time_id = _get_time_id(stock_model_name=stock_model_name, time_id=time_id) path = '{}{}-{}/'.format(training_data_...
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