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def multiclass_jaccard_loss_softmax(logits, labels, weight_class_sample_prob=False, weight_class_global_prob=False, train_class_probs=None, name='loss'): """ multiclass Jaccard loss measure, softmax is applied internally on the y_preds Args: logits the predicted logits with shape [batchsize, ..., c...
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def encrypteddatadecoder(data): """ parses EncryptedData object yields (algorithm-oid, iv, itercount, data) """ t, l, v = get_tlv(data) version, content = der_decode(v) ctyp, algo, content = der_decode(content[1]) algoid, params = der_decode(algo[1]) iv, itercount = der_decode(params...
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def get_testbed_vars(): """ returns the testbed variables in a dictionary :return: testbed variables dictionary :rtype: dict """ return getwa().get_testbed_vars()
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def sign_user(user_data, fields=None): """Sign user data.""" signer = Signer(current_app.config['SECRET_KEY'], salt='newdle-users') return dict( user_data, signature=signer.get_signature( _get_signature_source_bytes(user_data, fields) ).decode('ascii'), )
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def svn_repos_parse_dumpstream3(*args): """svn_repos_parse_dumpstream3(svn_stream_t * stream, svn_repos_parse_fns3_t parse_fns, void * parse_baton, svn_boolean_t deltas_are_text, svn_cancel_func_t cancel_func, apr_pool_t pool) -> svn_error_t""" return _repos.svn_repos_parse_dumpstream3(*args)
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def decode_string_six_bits(binary: str, max_chars: int) -> str: """Decode binary string by decoding every sequence of six bits. Args: binary (str): Binary string max_chars (int): Maximum length of resulting string Raises: ConvertException: Resulting string too large Returns: ...
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def apply_scbc(ds, mizuroute_exe, bmorph_config, client=None, save_mults=False, **tqdm_kwargs): """ Applies Spatially Consistent Bias Correction (SCBC) by bias correcting local flows and re-routing them through mizuroute. This method can be run in parallel by providing a `dask client`. Paramete...
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def whois(ip_address): """Whois client for Python""" whois_ip = str(ip_address) try: query = socket.gethostbyname(whois_ip) except Exception: query = whois_ip s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.connect(("whois.ripe.net", 43)) s.send(query.encode("utf8") +...
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def get_interesting_columns_all2D(datapath, column_indices, number_of_spectra, n_rows): """ This will return a LIST of 2D DATA SETS. Each 2D spectrum in the list will just be from the columns chosen by the user. """ n_columns = len(column_indices) all_relevant...
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def oned_bump_combined(): """ display all 1d traveling bump figures in one. """ fig = plt.figure(figsize=(10,4)) """ oned_const_vel #(oned_const_vel_bump,[],['oned_const_vel_bump_fig.pdf']), """ ############################################################################...
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def canonicalize_RefCityCountyCode(apps, schema_editor): """Update existing city and county names to canonicalized form.""" RefCityCountyCode.canonicalize()
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def get_det_coords(size: int, spacing: float) -> np.ndarray: """Compute pixel-center positions for 2D detector The centers of the pixels of a detector are usually not aligned to a pixel grid. If we center the detector at the origin, odd images will have a pixel at zero, whereas even images will have tw...
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def inverse_document_frequency(word, document_number, document_frequency): """Calculate idf value of a word Args: word: the word to be scored. document_number: number of documents in dataset. document_frequency: Frequency of a word in documents dataset, i.e. if a document ha...
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def str_to_acemask(lvl, is_object): """Return the acemask from a simplified access level :param lvl: the access level to map, in "none, "read", "write" or "read/write" :type lvl: str :param is_object: defined if the level corresponds to a data object or a coll...
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def main(bibtex, html, no_overwrite): """ Given paths to a BIBTEX and HTML file, program will find all instances of "\cite{}" within <p> tags and replace with a link to the DOI / URL in the bibtex entry. """ # Check files exist for input_file in [bibtex, html]: assert os.path.exists(inpu...
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def min_probabilities(p=0.0): """ !! OBSOLETE FUNCTION !! :param p: p percentage, int(0 < p < 1) :return: list of families with min(can be tuned) probabilities larger than p """ min_prob = [] with open(saved_feature_path + '/prob_of_each_sample_25families', 'rb') as fp: prob = pickl...
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def BRANCH_DESCRIPTOR( project: ProjectHandle, branch: BranchHandle, urls: Optional[UrlFactory] ) -> Dict[str, Any]: """Dictionary serialization for branch descriptor. Parameters ---------- project: vizier.engine.project.base.ProjectHandle Handle for the containing...
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def evaluate_lenet5(train_set_x, train_set_y, valid_set_x, valid_set_y, test_set_x, test_set_y, learning_rate=0.1, n_epochs=10, nkerns=[20, 50], batch_size=BATCH_SIZE): """ Demonstrates lenet on MNIST dataset :type learning_rate: float :param learning_rate: learning ...
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def check_se(se): """ Ensure that standard error is a float greater than zero. Parameters ---------- se : float a float with the standard error of the restricted regression. Returns ------- """ if (type(se) is not float and type(se) is not int) or se < 0: sys.exit(...
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def require_volume_exists(f): """Decorator to require the specified volume to exist. Requres the wrapped function to use context and volume_id as their first two arguments. """ def wrapper(context, volume_id, *args, **kwargs): db.api.volume_get(context, volume_id) return f(context,...
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def longitudinal_distance(reference: StateSE2, other: Point2D) -> float: """ Longitudinal distance from a point to a reference pose :param reference: the reference pose :param other: the query point :return: the longitudinal distance """ return float( np.cos(reference.heading) * (oth...
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def _log_bessel_kve_bwd(aux, g): """Reverse mode impl for bessel_kve.""" v, z = aux dtype = dtype_util.common_dtype([v, z], tf.float32) numpy_dtype = dtype_util.as_numpy_dtype(dtype) log_kve = _log_bessel_kve_custom_gradient(v, z) grad_z = tfp_math.log_add_exp( _log_bessel_kve_custom_gradient(v - 1.,...
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def send_message_via_backend(msg, backend=None, orig_phone_number=None): """send sms using a specific backend msg - outbound message object backend - MobileBackend object to use for sending; if None, use msg.outbound_backend orig_phone_number - the originating phone number to use when sending; th...
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def check(text): """Check the text.""" err = "misc.bureaucratese" msg = "'{}' is bureaucratese." bureaucratese = [ "meet with your approval", "meets with your approval", ] return existence_check(text, bureaucratese, err, msg, join=True)
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def main(model_name='map_learning', exp_name='localization_all_maps', azimuth=12, snr=0.2, freq_bands=24, max_freq=20000, elevations=25, mean_subtracted_map=True, ear='ipsi', n_trials=100, normalization_type='sum_1', sigma_smoothing=0, sigma_gauss_norm=1, clean=False): """ Learns the elevation spectra map gradually...
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def create_label_colormap(no_class=7, dataset=None): """Creates a label colormap used in Cityscapes segmentation benchmark. Returns: A Colormap for visualizing segmentation results. """ # GTA 19 Classes if (dataset == 'GTA') or ( no_class == 19) : colormap = np.array([ #...
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def confirm_current_token(token_type: str, revoked: bool = True) -> User: """ 验证token :param jti: str jti字符串 :param token_type: str token类型 :param revoked 是否撤销token :return (state, user) """ try: jti = get_raw_jwt()["jti"] token = TokenBlackList.where(jti=jti, token_type...
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def rotate_image(img, max_rot_angle, dim=32): """Rotate image.""" # Pad image padding = int(dim * 1.5) padded_img, (x1, y1) = pad_image(img, padding=padding) # Rotate image rotation_deg = np.random.uniform(-max_rot_angle, max_rot_angle) x_np = padded_img.permute(1, 2, 0).numpy() x_np = ndimage.rotate(x...
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def test_deploy_raiden_save_info_false(mock_deploy, mock_verify, get_accounts, get_private_key): """ Calling deploy raiden command with --save_info False""" (signer,) = get_accounts(1) priv_key = get_private_key(signer) with NamedTemporaryFile() as privkey_file: privkey_file.write(bytearray(priv...
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def simplify_control(A, B, x0, u0): """ Given the linarized A and B matrices corresponding to the state: x = [u, v, w, p, q, r, phi, th, dpsi, x_r, y_r, z_r] u = [T, a, e, r] this function simplifies the model to assume the body rates p, q, r are directly controlled, by essentially just removing the ro...
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def hdot_chart_line(datum: int) -> str: """Produce one line of a dot chart (without the label).""" return lit.HDOT_ONE * datum
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def move_cursor(user): """行動予定表内で、指定した人の位置にカーソルを移動""" tn.write('R{}\n'.format(userdata.userdata[user][1])) tn.write('C0\n') #print('R{}\n'.format(userdata.userdata[user][1])) #print('C0\n')
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def align_features_to_words(roberta, features, alignment): """ Align given features to words. Without assert. Args: roberta (RobertaHubInterface): RoBERTa instance features (torch.Tensor): features to align of shape `(T_bpe x C)` alignment: alignment between BPE tokens and words ret...
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def img_one_day(request, date): """ get one-day detected faces :param request:http request :param date: the day client chose :return:url list of one-day detected faces, formatted with JSon """ result_list = reader.get_one_day_img(date) return HttpResponse(json.dumps(result_list))
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def prepare(model_name): """Run all steps to prepare the environment before a functional test run. :param model: Name of model to add :type bundle: str """ zaza.controller.add_model( model_name, config=deployment_env.get_model_settings(), region=deployment_env.get_cloud_regi...
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def do_targets( subparsers, parent, # type: argparse.ArgumentParser completer, # type: CompositeActionCompletionFinder ): # type: (...) -> None """Command line parsing for all `coverage analyze targets` commands.""" targets = subparsers.add_parser( 'targets', help='ana...
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def get_date_age(date): """ Take a datetime and return its "age" as a string. The age can be in second, minute, hour, day, month or year. Only the biggest unit is considered, e.g. if it's 2 days and 3 hours, "2 days" will be returned. Make sure date is not in the future, or else it won't work. ...
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def SubtractHistogram(histogram_json, start_histogram_json): """Subtracts a previous histogram from a histogram. Both parameters are json serializations of histograms.""" start_histogram = json.loads(start_histogram_json) # It's ok if the start histogram is empty (we had no data, maybe even no # histogram at ...
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def lev_from_alignment(x_y_alignment_list, lengths): """ Given a list of aligned pairs and a list of lengths, computes the Levenshtein for each pair in the list. Returns a list of distances. :param x_y_alignment_list: a list where each element is itself a list containing tuples representing the...
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def get_shortest_path_lengths(G: nx.Graph, origin_nodes: list, destination_nodes: list, weight: str): """ This function calculates the shortest paths based on weight parameter. --- Args: origin_nodes (list): list of origin nodes destination_nodes (list): list of destination nodes ...
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def do_performance_metric_get_hsm_summary(cs, args): """Gets hsm summary.""" performance_metric = cs.performance_metrics.get_hsm_summary() if isinstance(performance_metric, dict): utils.print_dict(performance_metric) else: utils.print_dict(performance_metric._info)
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def evaluateAllQuestions(groundtruth_list, predictions_list): """ Prints classification report for all questions Parameters ---------- groundtruth_list : list of event tuples for all questions predictions_list : list of event tuples for all questions """ questions = ["Type 1...
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def _front_left_tire_pressure_supported(data): """Determine if front left tire pressure is supported.""" return data["status"]["tirePressure"]["frontLeftTirePressurePsi"] is not None
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def display_error(error_message): """Display an error message and exit. @param error_message: the error message to be displayed """ print(f"[bold red][ ERROR ]:[/bold red] {error_message}") exit(-1)
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def index_exists(name: str) -> bool: """ Check if an index with this name exists """ return es.indices.exists(index=name)
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def sslwrap_simple (sock, keyfile=None, certfile=None): """A replacement for the old socket.ssl function. Designed for compability with Python 2.5 and earlier. Will disappear in Python 3.0.""" ssl_sock = _ssl.sslwrap(sock._sock, 0, keyfile, certfile, CERT_NONE, PROTOCOL_S...
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def test_boutiques_spec_2(): """ testing spec: providing partial input/output fields names""" btask = BoshTask( name="NA", zenodo_id="1482743", infile=Infile, maskfile="test_brain.nii.gz", input_spec_names=["infile"], output_spec_names=[], ) assert len(bt...
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def count_missing_doc_types(articles): """ :param articles A PyMongo collection of articles :return: int: Number or articles without a a 'doc_type' property or having it equal to the empty string ('') """ return articles.count_documents( {"$or": [{"doc_type": {"$exists": False}}, {"doc_t...
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def assert_equal(actual: Literal["numeric"], desired: Literal["numeric"]): """ usage.scipy: 4 """ ...
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def segment_length(p1 : np.ndarray, p2 : np.ndarray): """ p1 (2,) p2 (2,) """ return npla.norm(p2-p1)
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def get_file_messages(fn, verbosity=0): """Returns a list of messages from an individual JSON file""" channel = path.basename(path.dirname(fn)) msgs = [] for conv in load(open(fn)): if conv['type'] == 'message' and 'text' in conv and conv['text'] and 'client_msg_id' in conv: id, user...
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def calculate_average(storage): """ Function prototype: calculate_average(storage) Function parameters (required): storage - a list of tuples with RGB values; this list will be iterated and, using the values obtained, will find the average RGB value Function parameters ...
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def parse_args(): """ Parses the arguments of the command line """ parser = argparse.ArgumentParser( description="Checks a file for british and american spellings") parser.add_argument('files', metavar="files", type=str, nargs='+', help='file where to check the spellings') retu...
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def update(): """ """ lan_object = Languages() lan_object.update() message = lan_object.message status = lan_object.status data = { "success": True, } return data
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def convert_keras(model, name=None, doc_string='', target_opset=None, channel_first_inputs=None, debug_mode=False, custom_op_conversions=None): # type: (keras.Model, str, str, int, [], bool, {}) -> onnx.ModelProto """ :param model: keras model :param name: the converted onnx model inte...
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def combineSeries(series, methods=MethodType.Unknown, reverse=False, squeeze=False, warn=True, shapeTolerance=0.01, spacingTolerance=0.1): """Combines a series into an N-D Numpy array and returns some information about the volume Many of the parameters are from the :meth:`sortSeries` function...
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def now_int(): """ Returns the current POSIX time as an integer. :return: integer POSIX time """ now = datetime.now() - datetime(1970, 1, 1) return int(now.total_seconds())
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def gradient_pred(model, ref, ref_rc, alt, alt_rc, mutation_positions, out_annotation_all_outputs, output_filter_mask=None, out_annotation=None): """Gradient-based (saliency) variant effect prediction Based on the idea of [saliency maps](https://arxiv.org/pdf/1312.6034.pdf) the gradient-based...
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def compute_fid_from_activations(fake_activations, real_activations): """Returns the FID based on activations. Args: fake_activations: NumPy array with fake activations. real_activations: NumPy array with real activations. Returns: A float, the Frechet Inception Distance. """ logging.info("Comput...
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def test_wrong_union_nested_in_optional( assert_errors, parse_ast_tree, code, annotation_template, default_options, mode, ): """Ensures that `Union` nested in `Optional` annotations are forbidden.""" tree = parse_ast_tree(mode(annotation_template.format(code))) visitor = SemanticAnn...
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def _load_defaults() -> None: """ Pulls the defaults from the QCA folder """ # Find the config load_path = None test_paths = [os.getcwd(), os.path.join(os.path.expanduser('~'), ".qcarchive")] if "DQM_CONFIG_PATH" in os.environ: test_paths.insert(0, os.environ["DQM_CONFIG_PATH"]) ...
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def homoRunForOneVariant(chr_fa_seq, variant): """ Calculate and return the length of the largest homopolymer touching this variant. Compute homopolymer lengths on the left and right, and return the largest. Args: chr_fa_seq: A fasta sequence of chromosome in `varianti.CHROM` varian...
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def _get_exon_junction_dict(metadata_list, strand): """ Creates an auxiliary dictionary used for filtering. Assigns to each junction all overlapping exon pairs. Parameters ---------- metadata_list: List(Output_metadata). Returns ------- exon_dict: dict. (read_frame, pos_mid_1, pos_mid_2, v...
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def handle_encoding_upload_json(project_id, dp_id, clk_json, receipt_token, uses_blocking, parent_span): """ Take user provided upload information - accepting multiple formats - and eventually injest into the database. Encodings uploaded directly in the JSON are first quarantined in the object store, ...
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def _align_dtypes( df_a: pd.DataFrame, df_b: pd.DataFrame ) -> Tuple[List[int], pd.DataFrame, pd.DataFrame]: """Try to enforce the dtypes of non-object type of one dataframe on the other. Return a list of index values for those columns where it is not possible and the two dataframes (one of them tra...
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def matrix_cfpq( graph: nx.MultiDiGraph, cfg: CFG, start_nodes: Set[int] = None, final_nodes: Set[int] = None, start_variable: Variable = Variable("S"), ) -> Set[Tuple[int, int]]: """ Context-Free Path Querying based on matrix multiplication Parameters ---------- graph: nx.Multi...
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def module_loaded(module): """ Checks if the specified kernel-module has been loaded. :param module: Name of the module to check :return: True if the module is loaded, False if not. """ return any(s.startswith(module) for s in open("/proc/modules").readlines())
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def IsMonophyleticForTaxa(tree, taxa, support=None): """check if a tree is monophyletic for a list of taxa. Arguments --------- tree : :class:`Tree` Tree to analyse taxa : list List of taxa support : float Minimum bo...
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def cleanfieldlower(value): """ remove spaces and convert to lower case so flag error """ if not value: return None value = str(value) value = value.strip() value = value.lower() return value
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def bs_preprocess(html): """remove distracting whitespaces and newline characters (c) mail-group of beautifulsoup4""" pat = re.compile('(^[\s]+)|([\s]+$)', re.MULTILINE) html = re.sub(pat, '', html) # remove leading and trailing whitespaces return html
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def query_done_cb(request, server_id): """ A callback for query completion notification. When the query is done, BeeswaxServer notifies us by sending a GET request to this view. """ message_template = '<html><head></head>%(message)s<body></body></html>' message = {'message': 'error'} try: query_histo...
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def get_user_info(request): """ A helper function which uses the user information in the request to get the Player object (which also contains the user object). :param request: A html request with user data (specifically username) :return: None if no user found, otherwise the Player object. """...
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def enthalpyliq(temp=None,pres=None,dliq=None,chkvals=False, chktol=_CHKTOL,temp0=None,pres0=None,dliq0=None,chkbnd=False, mathargs=None): """Calculate ice-liquid liquid water enthalpy. Calculate the specific enthalpy of liquid water for ice and liquid water in equilibrium. :arg temp: ...
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def dataset(directory, images_file, labels_file): """Download and parse MNIST dataset.""" images_file = download(directory, images_file) labels_file = download(directory, labels_file) check_image_file_header(images_file) check_labels_file_header(labels_file) def decode_image(image): #...
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def summary(map: 'World') -> None: """Log how many territories each player has""" ownership = defaultdict(lambda: 0) # type: 'Dict[str, int]' for t in map.territories: if t.owner: ownership[t.owner.name] += 1 logger.info(dict(ownership))
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def web3_get_code_sha256_hash(web3, addr): """ web3: Web3 addr: address in hex string """ code = web3.eth.getCode(to_checksum_address(addr)) return compute_code_sha256_hash(code)
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def complete_cluster(cluster: Cluster, host: Host) -> Cluster: """Add service, component and host to cluster""" cluster.host_add(host) service = cluster.service_add(name="first_service") cluster.hostcomponent_set((host, service.component(name="first_service_component_1"))) return cluster
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def year_range(entry): """Show an interval of employment in years.""" val = "" if entry.get("start_date") is None or entry["start_date"]["year"]["value"] is None: val = "unknown" else: val = entry["start_date"]["year"]["value"] val += "-" if entry.get("end_date") is None or ent...
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def test_init(mock_main): """ Action : Test init call. Expected Results : Init correctly called. Returns: N/A. """ init() mock_main.assert_called_once()
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def hamming_dist(a,b): """Return number of non-equal entries of a and b.""" return np.linalg.norm(a-b,ord=1)
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def find_images(directory: str, dest_ext: str, src_ext=None, output_dir=None) -> None: """Examines a directory and returns images that can be converted Arguments: directory -- the directory to look for files in dest_ext -- the extension that files should ahve after conversion src_ex...
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def prepare_splitfile_sql(sql: str, image_mapper: Callable) -> Tuple[str, str]: """ Transform an SQL query to prepare for it to be used in a Splitfile SQL command and validate it. The rules are: * Only basic DDL (CREATE/ALTER/DROP table) and DML (SELECT/INSERT/UPDATE/DELETE) are permitted. * Al...
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def grr_hostname(line): """Returns hostname of the selected client. Args: line: A string representing arguments passed to the magic command. Returns: String representing hostname of a client. Raises: NoClientSelectedError: Client is not selected to perform this operation. """ del line # Unus...
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def halo_bias(cosmo, halo_mass, a, overdensity=200): """Tinker et al. (2010) halo bias Args: cosmo (:obj:`Cosmology`): Cosmological parameters. halo_mass (float or array_like): Halo masses; Msun. a (float): Scale factor. overdensity (float): Overdensity parameter (default: 200)....
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def main(): """ Execute action from playbook """ command = NetAppONTAPCommand() command.apply()
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def settlements(ctx, asset, limit): """ Show pending settlement orders of a bitasset """ from bitshares.asset import Asset asset = Asset(asset, full=True) if not asset.is_bitasset: print_message("{} is not a bitasset.".format(asset["symbol"]), "warning") sys.exit(1) calls = asse...
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def battery(data): """ Gets battery percentage from subscribed ROS topic and converts it into a percentage out of 100. """ global batteryLevel message_creator.batteryLevel = batteryLevel # this function was found empirically through multiple tests # with a turtlebot. It is an estimate...
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def test_targets(): """Returns the test targets which contain the main package and tests folder """ return [package_name(), 'tests']
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def advanceboundary(repo, tr, targetphase, nodes): """Add nodes to a phase changing other nodes phases if necessary. This function move boundary *forward* this means that all nodes are set in the target phase or kept in a *lower* phase. Simplify boundary to contains phase roots only.""" phcache = ...
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def setup(bot: commands.Bot): """Initiate cog""" bot.add_cog(InfoLookup(bot))
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def LU_lndet(matrix, permutation, sign): """ Compute the determinant of {matrix} given its LU decomposition """ # easy enough return gsl.linalg_LU_lndet(matrix.data)
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def _sample_household_cluster(sampler, bin_lower, bin_upper, reference_age, n): """ Return list of ages in a household/location based on mixing matrix and reference person age """ ages = [reference_age] # The reference person is in the household/location if n > 1: idx = np.digitize(refere...
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def genChirpVC(Vclamp=-70,Rm=100,amp=10,graphToo=False): """Create a voltage-clamp sine protocol. Vclamp - center of clamped voltage (mV) Rm - membrane resistance (Mohm) amp - amplitude of sine (deviation Vclamp, in mV) """ xs,ys,zi=genSine() ys=ys*amp+Vclamp genATF(xs,ys,'stimulus-VC.atf') graphData(...
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def extract_BIO_tagged_tokens(text, source_spans, tokenizer): """ Разобьем на bio-токены по безпробельной разметке """ tokens_w_tags = [] for span in source_spans: s,e,tag = span tokens = tokenizer(text[s:e]) if tag == 'Other': tokens_w_tags += [(token,ta...
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def delete_user(id): """Get a particular user with it's ID and delete it.""" user = Users.query.get(id) if user.role_id is 1: return jsonify({ "message": "YOU DON'T WANNA DO THAT! YOU CANT DELETE AN ADMIN", "status": 400 }), 400 user.delete() return jsonify({ ...
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def test_saving_observables_with_callable_expression(dummy_hdf5_file: str): """ Tests that callable observables can be (de)serialized into and from a HDF5 file Parameters ---------- dummy_hdf5_file: str Path to the temporal file to use during the test """ dummy_callable = str t...
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def run(cfg): """Main function.""" # Logging # wandb.init(project=cfg.experiment_name) # Creating working directory if not os.path.exists(cfg.path): os.makedirs(cfg.path) # Getting the objects torch.cuda.empty_cache() if cfg.test_size != 0.0: trainloader, valloader, te...
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def _wait_for_iscsi_daemon(attempts=10): """Wait for the ISCSI daemon to start.""" # here, iscsi daemon is considered not running in case # tgtadm is not able to talk to tgtd to show iscsi targets cmd = ['tgtadm', '--lld', 'iscsi', '--mode', 'target', '--op', 'show'] _execute(cmd, "ISCSI daemon didn...
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def find_ifgs_for_dates(ifg_dir, master_date, slc_dates=None): """Find all the interferograms for a set of SLC dates and a given master date. Arguments --------- ifg_dir : str The directory to search for interferograms. Interferograms should be named as SLAVE_MASTER.nc where SLAVE and M...
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def configure_extensions(flask_app, cli): """configure flask extensions """ db.init_app(flask_app) cors.init_app(flask_app) db.app = flask_app bcrypt.init_app(flask_app) if cli is True: migrate.init_app(flask_app, db) return flask_app
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