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def verify_signature( public_key: ecdsa.VerifyingKey, signature_base64: str, message: str ): """ Verifies the given bas64-encoded signature with the base64-encoded public key and serialized message. The message should not contain any whitespaces. Raises ValidationError if unsuccessful. """ ...
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def generate_layer_name(layer): """ Generates unique name for layer. Parameters ---------- layer : BaseLayer Returns ------- str """ cls = layer.__class__ layer_id = cls.global_identifiers_map[cls] cls.global_identifiers_map[cls] += 1 classname = cls.__name__ ...
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def get_costs_gas_pipeline(): """Return the full path with file name and extension to the default costs per km to gas connect to pipelines.""" return pkg_resources.resource_filename('cerf', 'data/costs_gas_pipeline.yml')
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def _tsvector_column(*columns): """ Creates an expression for tsvector values with weights from a number of columns. """ vectors = [] for column, weight in columns: tsvector = db.func.to_tsvector("english", column) if weight in ["A", "B", "C", "D"]: tsvector = db.func...
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def test_get_cve_id(org_admin_headers): """ the first ID from 1999 should always exist """ res = requests.get( f'{env.AWG_BASE_URL}{CVE_ID_URL}/{cve_id}', headers=org_admin_headers ) ok_response_contains(res, cve_id)
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def minimum_weighted_distances(df1, df2, weights): """ Compute minimum weighted distance from one DataFrame to another. Args: df1 (pandas.DataFrame): The fixed reference points. Each column is a dimension, and each row is a point. df2 (pandas.DataFrame): ...
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def merge_kwargs(config: ConfigType, markers: List[Mark]) -> ConfigType: """Merge all kwargs into a single dictionary to pass to `vcr.use_cassette`.""" kwargs = deepcopy(config) for marker in reversed(markers): kwargs.update(marker.kwargs) return kwargs
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def access_control(req): """ Check administrator privilege in request headers to protect resources from invalid access :param req: HTTP request :return: HTTPError if invalid else None """ if 'USER-UUID' not in req.headers or \ not isinstance(req.headers['USER-UUID'], str) or \ ...
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def calculate_mean(arr, log): """Calculate mean and sd of arr values.""" n = len(arr) if log: logged_arr = [math.log10(value) for value in arr if value > 0] if not logged_arr: return 0, 0, n mean = math.pow(10, statistics.mean(logged_arr)) if len(logged_arr) > 1: ...
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def recv_meas_outcome(socket): """Receive the measurement outcome (0 or 1) of the server's last measurement. """ return int(socket.recv(maxsize=1))
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def profil(): """Prikaži stran uporabnika""" username = get_user() cur.execute("SELECT COUNT(*) FROM recept JOIN uporabnik ON uporabnik.id = recept.uporabnik WHERE uporabnik.ime=%s", [username]) [[st_receptov]] = cur.fetchall() cur.execute("SELECT id FROM uporabnik WHERE ime=%s", [username]) [[i...
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def siteManagerAdapter(ob): """Look-up a site manager/component registry for local component lookup. This is registered in place of the one in zope.site so that we lookup using acquisition in addition to the ``ILocation`` API. """ site = findSite(ob) if site is None: return zope.compone...
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def convert_to_excel_data(lines_: list[Line]) -> tuple[list[float], list[float]]: """直線のリストをx座標のリストとy座標のリストに変換します。 Args: lines_ (list[Line]): 直線のリスト Returns: typle[list[float], list[float]]: x座標のリストとy座標のリスト Examples: >>> convert_to_excel_data([((0, 0), (1, 2)), ((1...
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def create_seasons(session, start_yr, end_yr): """ Adds Years and calendar and European Seasons records to database. :param session: Transaction session object. :param start_yr: Start of year interval. :param end_yr: End of year interval, inclusive. """ def exists(model, **conditions): ...
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def mean_orientation(data: pd.DataFrame, static_moments: pd.DataFrame) -> pd.DataFrame: """Compute mean orientation of acceleration signal within static moment windows. Parameters ---------- data : :class:`~pandas.DataFrame` input data static_moments : :class:`~pandas.DataFrame` dat...
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def set_pump(kettle_id, onoff): """Set pump on or off.""" requests.put( f"http://127.0.0.1:5000/api/devices/Kettle/{kettle_id}/pumpstate", json={"state": onoff}, )
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def get_cse_policy_display_name(policy_name): """Remove cse specific prefix from the given policy name. :param str policy_name: name of the policy :return: policy name after removing cse specific prefix :rtype: str """ if policy_name and \ policy_name.startswith(CSE_COMPUTE_POLICY_...
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def top_percentile(year=now().year, percentile_groups=PERCENTILE_GROUPS): """ This is calculate top percentile of top_percentile_value :return: list of (officer_id, percentile_value) # """ if any(t not in PERCENTILE_GROUPS for t in percentile_groups): raise ValueError("percentile_group is invali...
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def test_big_download2(): """A test with attribute""" pass
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def get_shortest_dist(this_point, other_points): """Get shortest (distance, index of other point) from this_point (x,y) and list of other_points [(x,y), (x,y), ...]""" dists = get_all_dists(this_point, other_points) min_dist, other_point_ind = min((val, idx) for (idx, val) in enumerate(dists)) return mi...
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def runconfiguration_transformer(values): """Calls transform_project_data with corresponding header""" return transform_project_data(values, "Run configuration")
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def get_provider_manager(osid, runtime=None, proxy=None, local=False): """ Gets the most appropriate provider manager depending on config. If local is True, then don't bother with the runtime/config and try to get the requested service manager directly from the local service implementations known t...
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def read_xml_file(xmlfilename, decode='utf-8'): """ 读取xmlfile文件,并指定文件的解码方式,默认为utf-8 返回dom树 :param xmlfilename: :param decode: :return: """ if isinstance(xmlfilename, Path): xmlfile: Path = xmlfilename else: xmlfile = Path(xmlfilename) with xmlfile.open('rb') as xf...
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def get_cap_key(): """ 获取验证码初始化 ID :return: """ url = 'https://shieldcaptain.mogu.com/gettoken' params = { 'auth': get_auth({}), '_': int(time.time() * 1000), 'callback': '' } resp = requests.get(url, params=params, headers=headers) try: result = jso...
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def test_launch_native(mock_harness: MagicMock, mock_subprocess: MagicMock) -> None: """ entrypoint: None Native enabled -> launch harness.py """ native = {"internal": {"native": {"command": ["script.py"]}}} launch.launch(det.ExperimentConfig(native)) mock_harness.assert_called_once_with(tr...
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def import_bibfiles(conn, bibfiles, *, ref_id_field=REF_ID_FIELD): """Import bibfiles with raw dbapi.""" log.info('importing bibfiles into a new db') insert_file = dbapi_insert(conn, File, column_keys=['name', 'size', 'mtime', 'priority']) insert_entry = dbapi_insert(conn...
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def facet_subsets(data_collection, cid, lo=None, hi=None, steps=5, prefix='', log=False): """Create a series of subsets that partition the values of a particular attribute into several bins This creates `steps` new subet groups, adds them to the data collection, and returns the list o...
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def kl_test(df_in: DataFrame, df_out: DataFrame, attr: str): """ df_in: the sensitive dataset df_out: the synthetic dataset attr: the attribute that will be calculated for KL-divergence. """ distribution_in = get_distribution_of_categorical_attribute(df_in[attr]) distribution_out = get_distr...
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def get_or_create_data_version(paper_id: str) -> int: """ Get the index for the version of data produced by the current pipeline session. If a version index hasn't yet been created for this session, create one by incrementing the last version number found for this paper in the database. """ try:...
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def make_basic_auth_header(username, password): """ create a basic authentication header :param username: user name [unicode on py2, str on py3] :param password: password [unicode on py2, str on py3] :return: basic auth header [str on py2, str on py3] """ # note: the coding dance in the nex...
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def xavier_init(fan_in, fan_out, const=1, dtype=tf.float32): """Xavier initialization.""" low = -const * np.sqrt(3.0 / (fan_in + fan_out)) high = const * np.sqrt(3.0 / (fan_in + fan_out)) return tf.random_uniform((fan_in, fan_out), minval=low, maxval=high, dtype=dtype)
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def plot_g_e(sco, log=False): """ plot log expression sum and detected gene counts for cell inspect should not be applyed to normalized expression log: if input data already log transformed """ expression = sco.expression_matrix bm = expression > 0 if log: x = log...
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def wrap_deepmind(env: gym.Env, episode_life: bool = True, clip_rewards: bool = True, frame_stack: int = 4, scale: bool = False, warp_frame: bool = True, channel_first: bool = True): """Configure environment for DeepMind-style At...
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def get_test_data_path(): """Returns the path to test datasets """ return join(dirname(__file__), "data")
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def alfa_key(alfa: Union[str, int]) -> Union[str, None]: """ Return the numeric value of a possible alfanumeric key name. See "alfanumeric key names". Parameters ---------- alfa : str | int The package name from "alfa numeric names" list or the correspondent index Ret...
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def test_list_g_day_enumeration_1_nistxml_sv_iv_list_g_day_enumeration_2_5(mode, save_output, output_format): """ Type list/gDay is restricted by facet enumeration. """ assert_bindings( schema="nistData/list/gDay/Schema+Instance/NISTSchema-SV-IV-list-gDay-enumeration-2.xsd", instance="ni...
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def get_config() -> Config: """Reads environment variables to a Config object.""" gcs_bucket_name = env_require("GCS_BUCKET_NAME") gcs_bucket_prefix = env_require("GCS_BUCKET_PREFIX") gcp_service_account_credentials_base64 = env_require( "GCP_SERVICE_ACCOUNT_CREDENTIALS" ) gcp_service_ac...
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def log_in(): """ The Simplest API login. :param requestBody: require passing correct login and password of existing user :return JWT: encoded authorization token for given user on success, 401/404 on incorrect credentials """ user = request.get_json() lgn = user['login'] pwd ...
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def truncate_blocks_text(blocks: List[SlackBlock]) -> List[SlackBlock]: """Modifies blocks to restrict all text to 3000 characters.""" for block in blocks: try: block['text']['text'] = block['text']['text'][:3000] except KeyError: pass return blocks
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def generate_magic(s: int, bits: int, bishop: bool): """Generate magic bitboards for fast lookups on sliding piece attacks. Taken from: https://www.chessprogramming.org/Looking_for_Magics We are precomputing the attack set considering all variations of blockers (max 4096 == 2**12, rook on a1) """...
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def user_inputsAPI(): """API for storing new user input payload is json style of shape:\n { "data": [float, float] } """ data = json.loads(request.get_data()) accepted, complete = processor.process(data["data"]) content = {"clear": not accepted, 'complete': complete} return...
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def truncated_pareto_expval(alpha, m, b): """ Expected value of truncated Pareto distribution. """ if alpha <= 1: return inf part1 = (m ** alpha) / (1. - (m / b) ** alpha) part2 = 1. * alpha / (alpha - 1) part3 = (1. / (m ** (alpha - 1)) - 1. / (b ** (alpha - 1.))) return part1 ...
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def update_team( *, db_session: Session = Depends(get_db), team_contact_id: PrimaryKey, team_contact_in: TeamContactUpdate, ): """Update a team contact.""" team = get(db_session=db_session, team_contact_id=team_contact_id) if not team: raise HTTPException( status_code=sta...
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def word_to_col(w): """Splits a hexadecimal string to a bytes column. Parameters ---------- w : str Hexadecimal 32-bit word. Returns ------- list 4 bytes column containing integers representing the input string. """ x = int(w, 16) return [x >> 24, (x >> 16) & 0...
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def _create_documents_per_words(freq_matrix: dict) -> dict: """ Returns a dictionary of words and the number of documents in which they appear. :param freq_matrix: The frequency matrix to be summarized. :return: A dictionary of words and the number of documents in which they appear. """ doc_...
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def odin_connection(): """Connects to the database, returns a connection""" connection_string = ( "host={0} ".format(environ.get("PGHOST")) + "dbname={0} ".format(environ.get("PGDBNAME")) + "user={0} ".format(environ.get("PGUSER")) + "password={0}".format(environ.get("PGPASS")) ...
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async def test_ws_current_user(hass, hass_ws_client, hass_access_token): """Test the current user command.""" assert await async_setup_component(hass, 'auth', { 'http': { 'api_password': 'bla' } }) with patch('homeassistant.auth.AuthManager.active', return_value=True): ...
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def is_mass_profile_class(cls): """ Parameters ---------- cls Some object Returns ------- bool: is_mass_profile_class True if cls is a class that inherits from mass profile """ return inspect.isclass(cls) and issubclass(cls, mass_profiles.MassProfile)
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def pyats(**kwargs): """ generates a pyats testbed config for a lab """ server = VIRLServer() client = get_cml_client(server) current_lab = get_current_lab() if current_lab: lab = safe_join_existing_lab(current_lab, client) if lab: if kwargs.get("output"): ...
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def superuser_required_or_403(): """ Decorator to make a view only accessible as a superuser or it will raise PermissionDenied. Usage:: @superuser_required_or_403() def a_view(request): # I can assume now that the view is only accessible as a superuser. """ def deco...
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def configure(ctx, project_name, project_user): """Configures PostgreSQL for the given project.""" version_ = '.'.join(get_version(ctx)[:-1]) path_confs = Path(f'/etc/postgresql/{version_}/main/') config_name = 'postgresql.conf' target_name = f'{project_name}.conf' config_linked = link_config...
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def pullback(b, c, d, b_d, c_d, inplace=False): """Find the pullback from b -> d <- c. Given h1 : B -> D; h2 : C -> D returns A, rh1, rh2 with rh1 : A -> B; rh2 : A -> C and A the pullback. """ if inplace is True: a = b else: a = type(b)() # Check homomorphisms check_ho...
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def corr_therm2_sp(omega, x, y, disp=True): """Remove the thermal component in an OMEGA spectrum, with simultaneous retriving of reflectance and temperature. Parameters ========== omega : OMEGAdata The OMEGA observation data. x : int The x-coordinate of the pixel. y : int ...
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def ward_test_more(n=100,k=5,verbose=0): """ Check that two implementations give the same result """ np.random.seed(0) X = randn(n,2) X[:np.ceil(n/3)] += 5 G = fg.WeightedGraph(n) G.knn(X,5) import time t1 = time.time() u,c = ward_segment(G,X,stop=-1,qmax=1,verbose=verbose) ...
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def amplitude_rate_modulation(y, sr, difficulty): """This function uses the average amplitude (i.e., 'loudness') of a beat and the difficulty level to determine how many blocks will be placed within the beat. Returns a list of beat numbers.""" #Make amplitude matrix D = np.abs(librosa.stft(y)) db =...
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def write(file: Union[str, Path], flow: Tensor, fmt="middlebury") -> None: """Write optical flow to a file. Supported are several common formats used to store optical flow data: - KITTI - Middlebury - PFM Args: flow: the optical flow array or tensor of shape (2, H, W) file: a ...
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def _raise_missing_if_result_is_none(function): """ Raise MissingAccountData if function's result is None. adapted from https://github.com/Backblaze/b2-sdk-python/blob/v1.5.0/b2sdk/account_info/in_memory.py """ @wraps(function) def getter_function(*args, **kwargs): assert function.__nam...
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def nb_pixels(info_dict): """ Compute the number of pixels affected by the target light Parameters ---------- info_dict: dictionnary wavelength: float wavelength in angstrom Returns -------- npix: float number of pixels affected by the target light (ceiled) ...
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def test_create_report_with_comment(client, user, angler): """if we post data with a comment, the report should be created and have that comment associated with it.""" url = reverse("tfat:create_report", kwargs={"angler_id": angler.id}) data = {"reported_by": angler.id, "comment": "My Fake Comment"} ...
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def proposed_weight_norm_g_init(wn_layer, gain=2., version=1): """ Initialize WN's g to preserve the norm of the forward pass """ if version == 1: fan_in, fan_out = _calculate_fan_in_and_fan_out(wn_layer.weight) wn_layer.weight_g = Parameter(torch.ones_like(wn_layer.weight_g) * math.sqrt...
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def showdumb(bot, msg): """Show the notification group, but don't expand subgroups.""" slug = msg.match.group(1) with db.cursor(password=bot.mysql_password) as c: group = get_group(c, slug) if group is None: msg.respond(f'{slug} not found.') return for attr in...
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def token_refresh(): """Handler for refreshing access token.""" MSGRAPHAPI.refresh_access_token() redirect(request.query.redirect_to)
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def get_rnn_layer(reservoir_weight: Optional[np.ndarray] = None, reservoir_params: Optional[Dict[str, Any]] = None, layer_name: str = "LSTM", units: int = 200, return_sequences: bool = False) -> tf.keras.layers.Layer: """Build an RNN layer. Ar...
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def generate_regenet_arch(initial_width, width_slope, quantilize, width_m, depth, bottleneck_ratio, group_width): """ Inspired by the observation from AnyNetXd and AnyNetXe """ assert width_m > 0, 'width_m must be greater than 0' # Generate block widths and depths via Eq.2 ~ Eq.4 in the paper w...
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def fetch(dataset, annot, cat=(0, 0, 0, 0), evt_type=None, stage=None, cycle=None, chan_full=None, epoch=None, epoch_dur=30, epoch_overlap=0, epoch_step=None, reject_epoch=False, reject_artf=False, min_dur=0, buffer=0): """Create instance of Segments for analysis, complete with info ab...
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def test_transaction_receipt(buffer: str, status: int, cumulative_gas_used: int, logs: tuple, should_pass: bool): """ Unit test for receipt module. """ buffer_bytes = bytes.fromhex(buffer) if buffer is not None else None if should_pass: receipt_instance = rlp.decode(buffer_bytes, receipt.Transaction...
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def tail(): """ tail syslog on remote server """ with _service.ssh_ctx(): api.sudo('tail /var/log/syslog')
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def __main__(): """ Unit test. """ try: path = sys.argv[1] except: path = os.path.join(".", "images", "sudoku3.png") img = cv2.imread(path) img = detect_edges(img) cv2.imshow("Edges:", img) cv2.waitKey(0)
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def polar(a, side="right", compute_p=False): """ Compute the polar decomposition. This is a transcription of the SciPy code - check scipy.linalg.polar for documentation. """ if side not in ['right', 'left']: raise ValueError("must be either 'right' or 'left'") a = np.asarray(a) if a...
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def main(args): """ Eval for totaltext dataset """ dbnet = load_model(args.model_path, args.device) test_img_fps = sorted(glob.glob(os.path.join(args.image_dir, "*"))) result_poly_preds = [] img_fns = [] for test_img_fp in tqdm(test_img_fps): try: test_img_fn = tes...
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def replace_file_type(file_name, new_type): """ :param file_name: :param new_type: :return: """ file_name_parts = file_name.split(".") return file_name.replace(file_name_parts[len(file_name_parts)-1], new_type)
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def _text_to_df(text_file, encoding=None): """ Convert a raw E-Prime output text file into a pandas DataFrame. """ # Load the text file as a list. if encoding is None: with open(text_file, 'rb') as fo: text_data = list(fo) # Remove unicode characters. filtered_d...
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async def unload(ctx, what: str): """Unload Modules""" bot.unload_extension(what) await ctx.send("Unloaded {}".format(what))
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def unescape_response(): """ Unescape the html body which escaped by ``_cpcompat.escape_html()``. """ response = cherrypy.serving.response if not is_closable_iterator(response.body): # Dont do this for stream response.body = bytes(unescape_html(response.collapse_body()))
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def findmatch1(x, xsearch, tol=1e-4): """RETURNS THE INDEX OF x WHERE xsearch IS FOUND""" i = argmin(abs(x - xsearch)) if tol: if abs(x[i] - xsearch) > tol: print(xsearch, 'NOT FOUND IN findmatch1') i = -1 return i
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def profile(func): """Decorator for run function profile""" def wrapper(*args, **kwargs): global i profile_filename = 'profile/' + func.__name__ + '%06d' % i + '.prof' i += 1 profiler = cProfile.Profile() result = profiler.runcall(func, *args, **kwargs) profiler.d...
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def main(): """ Main """ session = tf.Session() W = tf.Variable([0.3], tf.float32) b = tf.Variable([-0.3], tf.float32) x = tf.placeholder(tf.float32) y = tf.placeholder(tf.float32) linear_model = W * x + b squared_detas = tf.square(linear_model - y) loss = tf.reduce_su...
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def test_cached_coherence(): """Testing the cached coherence functions """ NFFT = 64 # This is the default behavior n_freqs = NFFT // 2 + 1 ij = [(0, 1), (1, 0)] ts = np.loadtxt(os.path.join(test_dir_path, 'tseries12.txt')) freqs, cache = tsa.cache_fft(ts, ij) # Are the frequencies the rig...
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def nonced(method): """ Decorates a handler to only accept requests with nonce header. If the request is missing the request handler we set the status as 400 with a malformed message. """ @functools.wraps(method) def wrapper(self, *args, **kwargs): if self.nonce_service.provided(request=...
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def userToJson(user): """Returns a serializable User dict :param user: User to get info for :type user: User :returns: dict """ obj = { "id": user.id, "username": user.username, "name": user.get_full_name(), "email": user.email, } return obj
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def create_checkbox_group(names, kind, button_dict): """Creates a dictionary containing all checkboxes for set selection and a group widget containing all of them for display.""" box_dict = {} if kind == "Sets": names = [set_ for set_ in names if set_ not in ["Intrigue", "Base"]] tooltip...
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def cmr_search(short_name, version, time_start, time_end, bounding_box='', polygon='', filename_filter='', quiet=False): """Perform a scrolling CMR query for files matching input criteria.""" cmr_query_url = build_cmr_query_url(short_name=short_name, version=version, ...
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def dijkstra(source: OrientedWay) -> SingleSourceMap: """Dijkstra algorithm.""" info: DefaultDict[OrientedWay, _NodeInfo] node: OrientedWay visited: Set[OrientedWay] queue = FibonacciHeap() visited = set() source_info = _NodeInfo(0.0) source_info.entry = queue.enqueue(source, 0) inf...
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def upgrade(migrate_engine): """Map quotas hard_limit from NULL to -1""" _migrate_unlimited(migrate_engine, None, -1)
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def start_bot() -> None: """Start VK bot.""" session = vk_api.VkApi(token=env_settings.vk_bot_token) api = session.get_api() longpoll = VkLongPoll(session) with exception_logger(Exception, vk_logger, raise_=True): for event in longpoll.listen(): if event.type == VkEventType.MESS...
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def gcv(data, channels=None): """ Calculate the geometric CV of the events in an FCSData object. Parameters ---------- data : FCSData or numpy array NxD flow cytometry data where N is the number of events and D is the number of parameters (aka channels). channels : int or str or...
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def compute_fail_probability(rankings, mtable): """ This computes experimentally how many of the M rankings fail to satisfy the mtable :param rankings: rankings that are checked (list of lists of FairScoreDoc) :param mtable: an mtable to check against (list of int) :return: the ra...
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def copy_group(source_globals_file, source_groupname, dest_globals_file, delete_source_group=False): """ This function copies the group source_groupname from source_globals_file to dest_globals_file and renames the new group so that there is no name collision. If delete_source_group is False the ...
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async def price(message: types.Message): """return the current price of $Joe""" if not timer.canMessageOnChatId(message.chat.id): return msg = message.text.lower().replace("/price", "").replace(" ", "") if msg != "" and msg != "joe": if msg == "avax": avaxp = JoeSubGraph.getA...
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def show_seg(seg, ds9, header=None, seed=1): """ Show segmentation image in DS9 with randomized segments """ from grizli.catalog import randomize_segmentation_labels ds9.view(randomize_segmentation_labels(seg, random_seed=seed)[1], header=header)
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def check_estimation_data(df, options): """Check data for estimation. Parameters ---------- options : dict Dictionary containing model options. df : pd.DataFrame Data for estimation. Raises ------ AssertionError If data has not the expected format. """ ...
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def boot(status): """Enable or disable the systemd service which activates the ir emitter Args: status (string): "enable" or "disable" or "status" Raises: Exception: status arg can only be equal to enable or disable """ if status in ("enable", "disable", "status"): os.syste...
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def test_atomic_time_min_inclusive_3_nistxml_sv_iv_atomic_time_min_inclusive_4_2(mode, save_output, output_format): """ Type atomic/time is restricted by facet minInclusive with value 19:31:35. """ assert_bindings( schema="nistData/atomic/time/Schema+Instance/NISTSchema-SV-IV-atomic-time-min...
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def build_client(username=None): """Build a Spotipy client scoped for use.""" username = get_username(username) auth = util.prompt_for_user_token( username, scope='playlist-modify-private playlist-modify-public', ) return spotipy.Spotify(auth=auth)
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def do_declare(): """Makes a f5-declarative-onboarding declaration from the generated file""" if is_rest_worker('/mgmt/shared/declarative-onboarding') and \ os.path.isfile(DO_DECLARATION_FILE): dec_file = open(DO_DECLARATION_FILE, 'r') declaration = dec_file.read() dec_file.c...
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def classify_peaks(bed, min_count, a_region_size, a_ratio, a_stretch, can_region, noncan_seqs, out_cols, size): """classify the peak sequences.""" res = ["chrom", "start", "stop", "name", "count", "strand", "seq"] for i, l in enumerate(reader(bed, header=res), start=1): # filter ...
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def write_score(func: Callable[[Any, Any], Any]) -> (Tuple[Any, ...], Dict[str, Any]): """ Save the store data of the decorated function in a file. :param func: a function :precondition: input parameter must be a function :postcondition: correctly writes the store data to the file :return: a fu...
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def get_places_around_centroid(point, radius, place_type): """ Find places of place_type within a radius around a centroid and add to database. :param point: the centroid, of type Point :param radius: radius (in metres) :param place_type: type of place to be searched for :return: list of pla...
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def generate_empty_config_file(): """ Reset the config file.""" with open(get_config_file_path(), 'w') as datafile: json.dump({}, datafile)
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def safe_import(path, default=None): """Import a given path as efficiently as possible and without failure.""" module = sys.modules.get(path, default) for exclude_name in IGNORE_MODULES: if path.startswith(exclude_name): return default if module is default and __import_unknown_module...
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