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def train_valid_or_test(): """ 主程序 :return: """ # 建立参数、数据、模型、模型最佳值 pas = Params() p = pas.p model, model_name, size = pas.build_model_one_by_one(flag=p['prme']) best = GlobalBest(at_nums=p['at_nums']) _, starts_ends_tes = pas.compute_start_end(flag='test') _, starts_ends_auc ...
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def get_phi(row): """Helper function for rotating data. row: 2D-entry in matrix with shape (?, 2) """ return np.arctan2(row[0], row[1])
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def _get_export_path(path, working_path): """Creates an export path and filename (with extension). Arguments: path (str): The input file path. working_path (str): Working path Returns: (str): Export file path. """ filename, extension = _basename(path) export_path = os.p...
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def clone(id, path): """ - Download all files in a dataset or from a Job output Eg: alice/projects/mnist/1/files, alice/projects/mnist/1/output or alice/dataset/mnist-data/1/ Using /output will download the files that are saved at the end of the job. Note: This will download the files that are sa...
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def verifyProxy(ip, type): """ 验证代理的有效性 """ request_header = { 'User-Agent': "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.80 Safari/537.36" } url = "http://www.baidu.com" # 填写代理地址 proxy = {type: ip} # 创建proxyHandler proxy_ha...
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def execute_orca(inp_tp, work_dir, exec_cmd, subs=None, subs_delims=("<",">"), sim_name="orcarun", inp_ext=_DEF.FILE_EXTS[_E_SW.ORCA][_E_FT.INPUTFILE], out_ext=_DEF.FILE_EXTS[_E_SW.ORCA][_E_FT.OUTPUT], wait_to_complete=True, bohrs=False): """Executes |orca...
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def str_aula(value): # Only one argument. """Converts a string into all lowercase""" if(value == True): return "Sim" else: return "Nao"
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def unions_buffered(contig, buffer, lower_bound='start', upper_bound='stop'): """ Calculate interval unions among loci of a contig and extend them with a non-overlapping buffer. The new cluster intervals will contain only fields of the upper and lower bounds of clusters which may be named with the ...
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def backtrack(maps, k): """ 1. string map을 입력받아 백트래킹시 현재 상태의 저장이 필요 @param maps: list @param k: int @return: None """ if k == 5: max_value = 0 for i in range(n): for j in range(n): if max_value < maps[i][j]: max_value = maps[i][...
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def coll_exc_xsec(eng, species=None): """ e-e collisional excitation cross section in cm\ :sup:`2`\ . See 0906.1197. Parameters ---------- eng : float or ndarray Abscissa of *kinetic* energies. species : {'HI', 'HeI', 'HeII'} Species of interest. Returns ------- f...
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def test_get_smallest_intervals_between_pitch_classes(key: tuple[str, str], value: int) -> None: """Test `get_smallest_intervals_between_pitch_classes` function.""" mapping = get_smallest_intervals_between_pitch_classes() assert mapping[key] == value
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def mirror_tree(root: TreeNode): """ Offer 27 二叉树的镜像 :param root: :return: """ if not root: return [] nodes = [root] while nodes: node = nodes.pop(0) node.left, node.right = node.right, node.left if node.left: nodes.append(node.left) i...
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def get_scheduled_query_output(arn: Optional[pulumi.Input[str]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetScheduledQueryResult]: """ The AWS::Timestream::ScheduledQuery resource creates a Timestream Scheduled Query. """ ...
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def reverse_digit(x): """ Reverses the digits of an integer. Parameters ---------- x : int Digit to be reversed. Returns ------- rev_x : int `x` with it's digits reversed. """ # Initialisations if x < 0: neg = True else: neg ...
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def yyyymmdd(d, separator=''): """ :param d: datetime instance separator: string :return: string: yyyymmdd """ month = d.month if month < 10: month = '0' + str(month) else: month = str(month) day = d.day if day < 10: day = '0' + str(day) else: ...
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def _download(url, path): """ Download a file from the Google drive and save it at the given ``path``. """ logger.info('Downloading %s', url) google.download(url, path)
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def recurrent_layers( value, layer_sizes, bidirectional=True, dropout=0.0, rnn_type="lstm", return_sequences=False): """ Make one or more RNN layers """ if rnn_type == "lstm": rnn_class = LSTM elif rnn_type == "gru": rnn_class = GRU ...
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def load(environment="common"): """Load configuration parameters for an environment, or the common configuration shared by all environments. """ basedir = os.path.abspath( os.path.dirname(os.path.dirname(os.path.dirname(__file__))) ) settingsdir = os.path.join(basedir, "backend", "main",...
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def describe_domain(FleetArn=None, DomainName=None): """ Provides information about the domain. See also: AWS API Documentation Exceptions :example: response = client.describe_domain( FleetArn='string', DomainName='string' ) :type FleetArn: string :par...
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def _applicable_weight_based_methods(weight, qs): """Return weight based shipping methods that are applicable for the total weight.""" qs = qs.weight_based() min_weight_matched = Q(minimum_order_weight__lte=weight) | Q( minimum_order_weight__isnull=True ) max_weight_matched = Q(maximum_order...
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def write_to_file(output_file_handle_dict, inferred_text, line_count, limits, cues): """Write the inferred text to SRT file Follows a specific format for SRT files Args: output_file_handle_dict : Mapping of subtitle format (eg, 'srt') to open file_handle inferred_text : text to be written ...
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def path(a, b): """ A path of nodes from a to b >>> from blaze.expr.table import TableSymbol >>> t = TableSymbol('t', '{name: string, amount: int, id: int}') >>> expr = t['amount'].sum() >>> list(path(expr, t)) [sum(t['amount']), t['amount'], t] """ while not a.isidentical(b): y...
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def index_phenomenon(es, index_l, type_l, phenomenon = None, threshold=0): """ Indexes a phenomenon of a file. Returns the id that the phenomenon will have in the database. """ if phenomenon is None: return pid = None pid = abs(hash(str(phenomenon))) phenomenon["id"] = pid ...
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def _run_hive_query(cursor, query, has_results=False): """ Executes a given hive query on a specified database :param cursor: cursor to run queries on :param query: the specified hive query to run :return: results """ _print_debug('Executing query: {}'.format(query)) cursor.execute(query...
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def main(): """ heconsole main entrypoint """ ret = 0 if '--help' in sys.argv or '-h' in sys.argv or len(sys.argv) == 1: print(__doc__) else: program = sys.argv[1] args = sys.argv[2:] try: if args: ret = subprocess.call([program] + args) ...
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def _imwread(imgName): """ Reads a *.imw file. imgName should come with no extension. """ w, h = _readDim(imgName + '.dim') return _readImage(imgName + '.imw', w, h, '>H', 2)
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def train(**kwargs): """ Train network https://docs.deep-hybrid-datacloud.eu/projects/deepaas/en/latest/user/v2-api.html#deepaas.model.v2.base.BaseModel.train :param kwargs: :return: """ message = { "status": "ok", "training": [], } import os # use ...
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def sync_ensemble(workers: WorkerSet) -> None: """Syncs dynamics ensemble weights from driver (main) to workers. Args: workers (WorkerSet): Set of workers, including driver (main). """ def get_ensemble_weights(worker): policy_map = worker.policy_map policies = policy_map.keys()...
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def last_days_quotations(request): """Return last days quotations of a currency. Keyword arguments: request -- parameters [ days, currency ] """ args = request.GET days = int(args.get('days', None)) currency = args.get('currency', None) quotations = Quotation() quotations_list = qu...
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def cksum(buf): """Return computed CRC-32c checksum.""" return done(add(0xffffffff, buf))
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def yuv420_to_rgb(image_y: Tensor, image_uv: Tensor) -> Tensor: """Convert an YUV420 image to RGB. Image data is assumed to be in the range of [0.0, 1.0] for luma and [-0.5, 0.5] for chroma. Input need to be padded to be evenly divisible by 2 horizontal and vertical. This function assumed chroma siting ...
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def read_sensor_types_file(csv_file: str) -> []: """ Read in a csv file :param csv_file: path to file :type: csv_file: str :return: sensor_types :rtype: dict """ sensor_types = {} with open(csv_file, mode='r') as csv_file: csv_reader = csv.DictReader(csv_file) for ...
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def task_say_hello(self, room, caller): """ Send the "hello" message to a Spark space. Args: room: A :py:obj:`dict` that identifies the Spark space (room) where the output should be sent. Note the identified room can be either a group room (> 2 people) or a 1-on-1 room. ...
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def ping(value=0): """Return given value + 1, must be an integer.""" return {'value': value + 1}
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def Lf(lo, hi): """Log-uniform distributed floatint point number.""" return math.exp(random.uniform(math.log(lo), math.log(hi)))
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def the_task_ends_with_status(step, status): """ Wait for task execution and check task status """ print "TEST DATA - Region: {}; Image: {}; Flavor: {}".format(world.region_name, world.image_sdc_aware_id, world.flavor_id) check_task_status(wor...
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def main(): """Main function that runs histogram equalization metric battery on an image.""" import argparse import hist._cmd_line_util as cui parser = argparse.ArgumentParser( description='Calculate a series of metrics on the histogram equalization on an image') cui.add_input_image(parser)...
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def test_default_args(): """ Verify that default arguments are properly passed to the isolated function call. """ def isolated_function(arg1='default1', arg2='default2', arg3='default3'): return arg1, arg2, arg3 # Sanity check assert isolated_function.__defaults__ == ('default1', 'defau...
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def partition_data(array, partition_size=500, seed=None): """Partition the into multiple groups with given size It will partition the data with same schema if seed is consistent for each partitioning Args: array (array) partition_size(int): size of each partition group, default=500 ...
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def add_character(story, name='"Merquivest Monogarymbalid"', role="stranger"): """ Adds a new character to the story with the given name and role. Returns the id Predicate for the added character. """ character = next_id_prs(story, "chr", 1)[0] story.add(character) story.add( intrinsic_pr(story, character...
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def cli(): """Command-line interface (looks at sys.argv to decide what to do).""" import getopt class BadUsage(Exception): pass _adjust_cli_sys_path() try: opts, args = getopt.getopt(sys.argv[1:], 'bk:n:p:w') writing = False start_server = False open_browser = False...
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def resize_image_and_boxes(image, boxes, new_size): """ Resizes image and boxes. :param image: Image to resize. :param boxes: Boxes to resize. :param new_size: New size of the image. :return: Resized image and boxes. """ resized_image = image.resize(new_size) scale = np.zeros(2) sca...
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def InstallerNotifyServer(): """An emergency function Invoked when the client installation failed.""" # We make a temporary emergency config file to contain the new client id. Note # that the notification callback does not really mean anything to us, since # the client is not installed and we dont have basic in...
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def _standard_frame_length(header): """Calculates the length of a standard ciphertext frame, given a complete header. :param header: Complete message header object :type header: aws_encryption_sdk.structures.MessageHeader :rtype: int """ frame_length = 4 # Sequence Number frame_length += h...
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def train_opts(parser): """ These options are passed to the training of the model. Be careful with these as they will be used during unmixing. """ group = parser.add_argument_group('General') group.add('--src_dir', '-src_dir', type=str, required=True, help="System path to the Samson director...
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def f(x): """ Quadratic function. It's easy to see the minimum value of the function is 5 when is x=0. """ return x**2 + 5
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def encrypt(pubkey_path, file_path, output_path, mode="r"): """Encrypt file with PublicKey @param pubkey_path: the publickey path @param file_path: the file need to be encrypted @param mode: the file open mode @param output_path: the output file path """ key = RSA.importKey(open(pubkey_path).read()) wi...
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def execute_query(sql_query_file: str, query_params: dict, target_table: str, client): """Helper function to exectue a query Arguments: - sql_query_file: Full path to the .sql file that contains the query. Any query parameters should be wit...
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def coerce_retention_period(value): """ Coerce a retention period to a Python value. :param value: A string containing the text 'always', a number or an expression that can be evaluated to a number. :returns: A number or the string 'always'. :raises: :exc:`~exceptions.ValueError` ...
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def daily_log_return(close, fillna=False): """Daily Log Return (DLR) https://stackoverflow.com/questions/31287552/logarithmic-returns-in-pandas-dataframe Args: close(pandas.Series): dataset 'Close' column. fillna(bool): if True, fill nan values. Returns: pandas.Series: New fea...
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def find_links_fast(communities_grouped, max_parent_combinations, offsets, min_forward_containment=0, min_backward_containment=0, reverse_mappings=None): """find_links_fast Under development. """ n_largest_combos = 0 edge_list = [] for i, communities in enumerate(communiti...
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def read(path): """Return dict-like object of config parameters from file path.""" return ConfigObj(path, unrepr=True)
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def builds_file(file: str, do_clean: bool = False) -> Dict[str, PyssectGraph]: """Takes a python file and returns the corresponding PyssectGraph""" with open(file, 'r') as f: return ASTtoCFG().build(ast.parse(f.read()), do_clean)
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def dropLabels(events, minPct=.05): """ # apply weights, drop labels with insufficient examples """ while True: df0 = events['bin'].value_counts(normalize=True) if df0.min() > minPct or df0.shape[0] < 3: break print('dropped label: ', df0.argmin(), df0.min()) ...
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def get_partitions(raw_data_id): """ 获取rt_id对应的kafka topic的partition数量 @:param rt_id: result_table表的id :return: kafka上rt_id对应的topic的分区数量 """ rawdata = model_manager.get_raw_data_by_id(raw_data_id) if rawdata: kafka_bs = _get_rawdata_kafka_bootstrap_server(rawdata) if kafka_bs...
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def plot_confusion_matrix( Y_pred, Y_true, config, target_names=None, species_dict=None, title="Confusion matrix", cmap=None, normalize=False, scores=False, score_size=12, save=None, ): """Plot a confusion matrix of the predicted labels and the true labels for the tes...
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def csv_states(filename, bot_filtered=True): """ Writes the states to file. """ db = twitterproj.connect() template = "{},{},{}" with io.open(filename, 'w', encoding='utf-8') as f: f.write("# state name, state abbrev, fips\n") lines = [] for state in twitterproj.hashtag_...
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def test_rotate(angle): """We can rotate a vector.""" r, theta = vec2(1, 1).rotated(angle).to_polar() assert theta % tau == approx((angle + tau / 8) % tau) assert r == approx(2 ** 0.5)
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def test_deploy_package(qipkg_action, tmpdir, record_messages): """ Test Deploy Package """ try: import qi d_proj = qipkg_action.add_test_project("d_pkg") pml_path = os.path.join(d_proj.path, "d_pkg.pml") d_package = qipkg_action("make-package", pml_path) url = get_ssh_ur...
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def latest(history_secs=600, max_data_points=200): """ Retrieve latest data, with sampling to indicated number of data points NOTE: all speedtests are always returned """ return { 'ip_local': ip.local(), 'speedtest': DATA['speedtest'], ** { k: _sample_buffer(...
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def expand_modules( files_or_modules: List[str], ignore_list: List[str], ignore_list_re: List[Pattern], ignore_list_paths_re: List[Pattern[str]], ) -> Tuple[List[ModuleDescriptionDict], List[ErrorDescriptionDict]]: """Take a list of files/modules/packages and return the list of tuple (file, modu...
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def RegisterDolphinFixture(server): """Registers API of DolphinBFTFixture.""" dolphin = dolphin_bft_fixture.DolphinBFTFixture() dolphin.Init(**DOLPHIN_RAIDEN_CONF) server.register_instance(dolphin)
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def calc_chi2_stats(df_popl, df_cust, attributes, alpha=0.05, exclude_na=True, use_perc=True): """ Calculates the chi-sq stays for the attribute to compare the similarities between population and customer ref: https://machinelearningmastery.com/chi-squared-test-for-machine-learning/ :params df_popl:...
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def hammingDistance(str1, str2): """ Returns the number of `i`th characters in `str1` that don't match the `i`th character in `str2`. Args --- `str1 : string` The first string `str2 : string` The second string Returns --- `differences : int` The differences between `str1` and `str2` ...
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def prepare_data(df, n_cell_x, n_cell_y): """ Feature engineering and computation of the grid. """ # Creating the grid size_x = 10. / n_cell_x size_y = 10. / n_cell_y eps = 0.00001 xs = np.where(df.x.values < eps, 0, df.x.values - eps) ys = np.where(df.y.values < eps, 0, df.y.values ...
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def powerstat_ucsc(sg, wanted_servers): """ Get the power status of the UCS Central servers. """ try: handle = UCSCUtil.ucsc_login(sg) except KubamError as e: return jsonify({"error": str(e)}), Const.HTTP_UNAUTHORIZED try: powerstat = UCSCServer.list_servers(handle) ...
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def _interpret_parameters(params): """Replace params with 'value' and 'width' with a Const object having that specific value and width Example: 'param1': {'value': 10, 'width': 8} is replaced with: 'param1': Const(10, shape=(8)) :param params: dict of {'name': val} where val is...
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def _from_pretrained(cls, *args, **kw): """Load a transformers model in TF2, with fallback to PyTorch weights.""" try: return cls.from_pretrained(*args, **kw) except OSError as e: logging.warning("Caught OSError loading model: %s", e) logging.warning( "Re-trying to convert from PyTorch checkpo...
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def get_frame_durations(file): """ Return an array of each frame duration in the given file. Durations are in milliseconds. """ pos = file.tell() frame_durations = [] last_frame_timestamp = None def collect_timestamps(frame, timestamp): timestamp = round(timestamp*1000) ...
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def pedirOpcion(): """Pide y devuelve un entero en el rango de opciones validas""" correcto = False num = 0 while not correcto: try: num = int(input("Elige una opcion -> ")) if num < 0 or num > 3: raise ValueError correcto = True excep...
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def option_comment(path_to_dot_setting, option_name, comment): """Returns 200: Successful, 201: Option name was not found in .setting.xml file, file could be corrupted""" file_r = open(path_to_dot_setting, 'r') file_temp = open(path_to_dot_setting + '.temp', 'w') file_r_contents = file_r.readlin...
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def extract_preprocessing_json(root: str): """ :param root: :return: """ vols_xymin, vols_ccords = dict(), dict() for path in tqdm(sorted(glob(root))): volume_name = "_".join(path[:-5].split("/")[-2:]) with open(path, 'rb') as file: json_file = json.load(file)["shap...
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def slugurl(context, slug): """Returns the URL for the page that has the given slug.""" page = Page.objects.filter(slug=slug).first() if page: return pageurl(context, page) else: return None
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def _order_dict(d): """Convert dict to sorted OrderedDict""" if isinstance(d, dict): d = [(k, v) for k, v in d.items()] d = sorted(d, key=lambda x: x[0]) return OrderedDict(d) elif isinstance(d, OrderedDict): return d else: raise Exception('Must be dict or Ordered...
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def _sampling_probabilities(indices): """ Compute marginal sampling probabilities for each training point so that the classes will be balanced. """ N, k = indices.shape probs = np.zeros(N) for i in range(k): not_missing = indices[:,i] != -1 probs[not_missing] += 1./(np.s...
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def AddToPruningCollections(weight, mask, threshold, gradient=None, old_weight=None, old_old_weight=None): """Add mask, threshold, and weight vars to their respective collections...
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def plot_proj_error(traj_top, traj_left, X, Y, Z, cam_top, cam_left, time, savedir='data_treat/Reproj_error.png', plot=True): """Plot the reprojected trajectory for each camera to check for the trajectory errors :param traj_top,traj_left: screen trajectory for the top and left cameras :param X,Y,Z:...
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def findmodulefiles(output=None): """Produce a file containing a list of (modulename, filename-or-None) tuples mapping module names to source files""" # Immedeately grab the names import sys module_names = sys.modules.keys()[:] import os if not output: if os.name == 'mac': import macfs output, ok = m...
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def temp_monthly(): """Returns temperature obs from the database""" session = Session(bind=engine) year_ago = dt.date(my_date.year, my_date.month, my_date.day) - dt.timedelta(days=365) # In the function (logic should be the same from the starter_climate_analysis.ipynb notebook): # Calculate the date 1 y...
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def test_delete(app): """Test record indexing.""" with app.app_context(): recid = uuid.uuid4() record = Record.create({'title': 'Test'}, id_=recid) db.session.commit() client_mock = MagicMock() RecordIndexer(search_client=client_mock).delete(record) client_mock....
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def get_comment_app(): """ Get the comment app (i.e. "commentary") as defined in the settings """ # Make sure the app's in INSTALLED_APPS comments_app = _get_setting('APP', DEFAULT_COMMENTS_APP) if not apps.is_installed(comments_app): raise ImproperlyConfigured( 'The COMMENTS...
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def say(s): """prints to screen or webpage""" if context=='browser': _appendToBody(s) else: print(s)
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def get_report_types(): """Get the types of reports that are available :rtype: list """ return [{"type": key, "name": val["name"]} for key, val in REPORTS.items()]
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def read_fasta(fasta_file): """ read a fasta file and retrieve its sequences """ sequences = AlignIO.read(fasta_file, "fasta") return sequences
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def display_get_rule_name(): """display function to prompt for the name of the rule to add""" return input("Name of the rule to add: ")
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def target(observation: Union[int, float], *, label: str = "") -> None: """Calling this function with an ``int`` or ``float`` observation gives it feedback with which to guide our search for inputs that will cause an error, in addition to all the usual heuristics. Observations must always be finite. H...
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def _get_stack_status(stack_name, region): """ Returns the stack status which will be one of: 'CREATE_IN_PROGRESS' 'CREATE_FAILED' 'CREATE_COMPLETE' 'ROLLBACK_IN_PROGRESS' 'ROLLBACK_FAILED' 'ROLLBACK_COMPLETE' 'DELETE_IN_PROGRESS' 'DELETE_FAILED' ...
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def in_virtualenv() -> bool: """Return True when pype is executed inside a virtual env.""" return ( hasattr(sys, 'real_prefix') or ( hasattr(sys, 'base_prefix') and sys.base_prefix != sys.prefix ) )
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def parse_varint(stream): """ Parses SQLite's "varint" (short for variable-length integer) as mentioned here: https://www.sqlite.org/fileformat2.html#varint """ usable_bytes = read_usable_bytes(stream) value = 0 for index, usable_byte in enumerate(usable_bytes): # For all bytes except ...
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def _fix_matplotlib_crash(): """Set Matplotlib backend to avoid a crash. The default Matplotlib backend crashes Python on OSX when run on a thread that's not the main thread, so here we set a safer backend as a fix. Users can always disable this behavior by setting the config runner.fixMatplotlib =...
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def _latest_input() -> Path: """Since the exports are complete exports, can just use the most recent export""" return last(sorted(get_files(config.export_path), key=lambda p: p.stat().st_mtime))
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def jacobian(func: Callable, delta: float): """Finite differences approximation to the Jacobian.""" def jacfn(z): num_dims = len(z) Jac = np.zeros((num_dims, num_dims)) for j in range(num_dims): pert = np.zeros(num_dims) pert[j] = 0.5 * delta zh = func...
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def add_servermgr_to_path(): """ locate our servermgr directory and add it to python path for both this process and our subprocesses. """ for dir in ("..", "../..", "../../.."): if os.path.exists(os.path.join(dir, "servermgr")): pp = os.environ.get("PYTHONPATH", None) ...
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def get_full_width(text, get_full_width_char, get_full_width_number, get_full_width_symbol): """ Get full width characters. :param text: original text. :param get_full_width_char: set True to get full width English letter. :param get_full_width_number: set True to get full width number. :param ...
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def obtain_transitive_fingerprint_v_short( strategy, turns, repetitions, processes=1 ): """ Obtain the transitive fingerprint against short run time for a given strategy and save the figure to the assets dir """ short_run_time = [s() for s in axl.short_run_time_strategies] fp = axl.Transitiv...
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def polar_to_cartesian_2d(rho, phi): """Convert polar points to cartesian points. Convert polar coordinate points in 2D to cartesian coordinate points in 2D. This function uses the notation convention of ISO 80000-2:2009 and its related successors. Parameters ---------- rho : array_like ...
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def ast_rotate_left_while_assoc_prec(ast): """Performs a left rotation of the AST around its root if associativity and precedence are not enforced yet. Args: ast: The AST dict. Returns: The new root of the rotated AST. """ if ("op" in ast) and (ast["op"] in all_op_data): if...
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def plot_confusion_matrix(cm, classes, filename, title='Confusion matrix', cmap=plt.cm.Blues): """ 绘制混淆矩阵,如果本地有图形界面或 Args: cm: 混淆矩阵,numpy.ndarray classes: 类名 filename: 保存文件路径 title: 标题 cmap: 使用的色系 """ import itertools plt.imshow(cm, interpolation='neares...
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def convert_direction_from_string(s: str): """Convert direction (SkyCoord) from string TODO: Make more general! :param s: String :return: """ ra, dec, frame = s.split(',') d = SkyCoord(ra, dec, unit='deg', frame=frame.strip()) return d
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def memoryUsage(data, detail=1): """Got memory usage of dataset Parameters ---------- data: dataFrame """ if detail: display(data.memory_usage()) memory = data.memory_usage().sum() / (1024 * 1024) print("Memory usage : {0:.2f}MB".format(memory)) return memory
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