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def get_package_path() -> Path: """ Get local install path of the package. """ return to_path(__file__).parent.absolute()
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def parameterized_class(cls): """A class decorator for running parameterized test cases. Mark your class with @parameterized_class. Mark your test cases with @parameterized. """ test_functions = inspect.getmembers(cls, predicate=inspect.ismethod) for (name, f) in test_functions: if name...
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def isStringLike(s): """ Returns True if s acts "like" a string, i.e. is str or unicode. Args: s (string): instance to inspect Returns: True if s acts like a string """ try: s + '' except: return False else: return True
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def velocity_to_wavelength(velocities, input_units, center_wavelength=None, center_wavelength_units=None, wavelength_units='meters', convention='optical'): """ Conventions defined here: http://www.gb.nrao.edu/~fghigo/gbtdoc/doppler.html * Radio V = c (c/l0 - c/l)/(c/l0) f(V) = (c/l0)...
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def get_social_profile_provider_list(profile): """ """ sp = None sp = SocialProfileProvider.objects.filter(user=profile.user).order_by('provider', 'website',) return sp
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def load_tomogram(path_to_dataset: str, dtype=None) -> np.array: """ Verified that they open according to same coordinate system """ _, data_file_extension = os.path.splitext(path_to_dataset) print("file in {} format".format(data_file_extension)) assert data_file_extension in [".em", ".hdf", ".m...
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def ip2long(ip): """ Convert an IP string to long """ packedIP = socket.inet_aton(ip) return struct.unpack("!L", packedIP)[0]
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def item_link_copy(request, op): """ Objekt zum Einblenden markieren """ if request.GET.has_key('id'): item_container = get_item_container_by_id(request.GET['id']) else: item_container = get_my_item_container(request, op) if item_container.parent_item_id != -1: #request.session['dms_link_copy_id'] =...
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def get_aggregation_fn_cls(rng): """Sample aggregation function for feature""" return rng.choice(AGGREGATION_OPERATORS)
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def resnet_mvgcnn(depth, pretrained=False, **kwargs): """Constructs a MVGCNN based on ResNet-18 model.""" model = ResNetMVGCNN(BasicBlock, resnet_layers[depth], **kwargs) if pretrained: pretrained_dict = model_zoo.load_url( model_urls['re...
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def temp_bucket_context(prefix='temp-bucket-'): """ Creates a temporary bucket """ connection_args = {} if os.getenv('S3_URL', None): connection_args['endpoint_url'] = os.environ['S3_URL'] if os.getenv('AWS_DEFAULT_REGION', None): connection_args['region_name'] = os.environ['AWS_...
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def _smooth_samples_by_weight(values, samples): """Add Gaussian noise to each bootstrap replicate. The result is used to compute a "smoothed bootstrap," where the added noise ensures that for small samples (e.g. number of bins in the segment) the bootstrapped CI is close to the standard error of the me...
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def lpc_ref(signal, order): """Compute the Linear Prediction Coefficients. Return the order + 1 LPC coefficients for the signal. c = lpc(x, k) will find the k+1 coefficients of a k order linear filter: xp[n] = -c[1] * x[n-2] - ... - c[k-1] * x[n-k-1] Such as the sum of the squared-error e[i] = ...
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def main(): """ Generate Guassian-weighted point load distribution """ fem_mesh.check_version() opts = read_cli() # setup the new output file with a very long, but unique, filename loadfilename = ("gauss_exc_sigma_%.3f_%.3f_%.3f_center_%.3f_%.3f_%.3f_amp_%.3f_amp_cut_%.3f_%s.dyn" % ...
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def make_mpo_networks( action_spec, policy_layer_sizes = (300, 200), critic_layer_sizes = (400, 300), ): """Creates networks used by the agent.""" num_dimensions = np.prod(action_spec.shape, dtype=int) critic_layer_sizes = list(critic_layer_sizes) + [1] policy_network = snt.Sequential([ netw...
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def numgrad_x(f: Callable[[Any], Any], x: Tensor, eps: float = 1e-6) -> Tensor: """get numgrad with the same shape of x Args: f (Callable[[Any], Any]): the original function x (Tensor): the source x eps (float, optional): default error. Defaults to 1e-6. Returns: Tensor: the numgrad with...
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def throw_darts_serial(n_darts): """Throw darts at a square. Execute serially! Count how many end up in an inscribed circle. Approximate pi. Parameters ---------- n_darts : int Number of darts to throw Returns ------- pi_approx : float Approximation of pi ...
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def sample_category(user, name='Movie', slug='film'): """Create and return a sample ingredient""" return Category.objects.create(user=user, name=name, slug=slug)
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def inherit_xdata(source, target): """Inherit all fields from source (xdata entry).""" # Though not stated in the biblatex manual, we do not let xdata inheritance # overwrite existing fields for field, value in source: if field not in target: setattr(target, field, value)
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def get_all(): """ gets all genres. :rtype: list[GenreEntity] """ return get_component(GenresPackage.COMPONENT_NAME).get_all()
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def dist(node1, node2): """Calculate the distance between two vertices """ return np.sqrt(np.sum((node1 - node2)**2))
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def train(td_steps=0, max_episodes=5000, exp_dir='def_dir', exp_name='No_Name'): """ :param td_steps: determines the algorithm used. if td_steps<0 -> reinforce, if td_steps=0 -> advantage using replay-buffer and target-network if td_steps=N>0 -...
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def log_method(log_method, log=None, display_name=''): """Decorator to log whenever a method is called including arguments Main usage is in function log_class Args: log_method: Class method that when called emits a log message log: a file-like object (stream), such as sys.stdout. ...
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def propagate_errors(f, x, dx, jac=None, n_samples=1e4, seed=42): """Propagates the errors over all the elements of the array x To see how the error propagation is performed see the documentation of dy Returns: [array]: Array with the same size of x with the errors """ return n...
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def getFibonacciIterative(n: int) -> int: """ Calculate the fibonacci number at position n iteratively """ a = 0 b = 1 for _ in range(n): a, b = b, a + b return a
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def snapshotModifyKeyCtx(q=1,e=1,ex=1,ch=1,i1="string",i2="string",i3="string",n="string"): """ http://help.autodesk.com/cloudhelp/2019/ENU/Maya-Tech-Docs/CommandsPython/snapshotModifyKeyCtx.html ----------------------------------------- snapshotModifyKeyCtx is undoable, queryable, and editable. Creates a cont...
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def louvain(graph, min_progress=1000, progress_tries=1): """Compute best partition on the `graph` by louvain. Args: graph (:class:`Graph`): A projected simple undirected graph. min_progress: The minimum delta X required to be considered progress, where X is the number of nodes ...
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def compat(data): """ Check data type, transform to string if needed. Args: data: The data. Returns: The data as a string, trimmed. """ if not isinstance(data, str): data = data.decode() return data.rstrip()
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def cascade(u: np.ndarray, balanced: bool = True, phase_style: str = PhaseStyle.TOP, error_mean_std: Tuple[float, float] = (0., 0.), loss_mean_std: Tuple[float, float] = (0., 0.)): """Generate an architecture based on our recursive definitions programmed to implement unitary :math:`U`, or a set of :...
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def rsa_decrypt(cipher: int, d: int, n: int) -> int: """ decrypt ciphers with the rsa cryptosystem :param cipher: the ciphertext :param d: your private key :param n: your public key (n) :return: the plaintext """ return pow(cipher, d, n)
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def ajax_update_report_findings(request): """ Update the ``position`` and ``severity`` fields of all :model:`reporting.ReportFindingLink` attached to an individual :model:`reporting.Report`. """ data = {"result": "error"} if request.method == "POST" and request.is_ajax(): pos = request.P...
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def cmd_clean(ctx: ProjectContext, args: argparse.Namespace) -> int: """Clean up the build directory and build files.""" build_dir: str = ctx.build_dir() if not os.path.exists(build_dir): return 0 if not os.path.isdir(build_dir): print(f'Build directory {build_dir} is not a directory') ...
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def head_pos_to_trans_rot_t(quats): """Convert Maxfilter-formatted head position quaternions. Parameters ---------- quats : ndarray, shape (N, 10) MaxFilter-formatted position and quaternion parameters. Returns ------- translation : ndarray, shape (N, 3) Translations at eac...
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def geo_to_h3(lats, lngs, res): """ Convert arrays describing lat/lng paris to cells. Parameters ---------- lats, lngs : arrays of floats res: int Resolution for output cells. Returns ------- array of H3Cells """ assert len(lats) == len(lngs) out = np.zeros(le...
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def create_roads(roads): """ Create roads information from roads reference data Args: roads: dataframe from roads reference data Returns: list of road curves for all roads """ road_curves = [] for _, row in roads.iterrows(): splitcoords = row["coordinates"].split(",") ...
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def set_extentions(doc): """No-param function. Sets 'frequency' and 'instance_list' variable for each token. The frequency is calculated by lemma_.lower() word of the noun phrase. And lemma_.lower() is used to add instance to instance list. Returns: None """ freq_count = defaultdict(int) i...
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def test_basics(): """ Test mean/standard deviation/mode. """ basics = Basics() mean, sd, mode = basics() expect_mean = [1.0, 1.0] expect_sd = np.sqrt(np.array([0.5, 0.5]) / np.square(np.array([0.5, 0.5]))) expect_mode = [0.0, 0.0] tol = 1e-6 assert (np.abs(mean.asnumpy()- expect...
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def stream_occurrences(read_token, project_slug, last_id=None): """ read_token: Rollbar project_access_token with read_scope project_slug: The name of the project that this token is for last_id: The lowest occurence_id we are interested in returns: Occurrence list Highest ...
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def custom_print(data): """ Print to display in the Blender console. """ for window in bpy.context.window_manager.windows: screen = window.screen for area in screen.areas: if area.type == "CONSOLE": override = {"window": window, "screen": screen, "area": area}...
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def git_describe(repos): """Try running git describe on the given repos""" return run(["git", "-C", str(repos), "describe", "--tags", "--abbrev=8"])
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def get_parser() -> ArgumentParser: """Get the argument parser.""" parser = ArgumentParser( prog="toml-sort", formatter_class=argparse.RawDescriptionHelpFormatter, description="Toml sort: a sorting utility for toml files.", epilog="""\ Examples: - **Stdin -> Stdout**: cat inpu...
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def convertToModelZ(z): """ scale Z-axis coordinate to the model """ return z * SCALE_2_MODEL
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def opt_get_model_rest_api(model_id): """Retrieve model data """ model_id = Markup.escape(model_id) return retrieve_model_data(model_id)
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def tokenize(texts, context_length=77, truncate=False) -> Tensor: """ Returns the tokenized representation of given input string(s) Parameters ---------- texts : Union[str, List[str]] An input string or a list of input strings to tokenize context_length : int The context length t...
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def patch_keycloak_api(get_realm_role, create_realm_role=None, update_realm_role=None, delete_realm_role=None): """Mock context manager for patching the methods in PwPolicyIPAClient that contact the IPA server Patches the `login` and `_post_json` methods Keyword arguments are passed to the mock object tha...
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def config_get_timesteps(filepath): """Get list of time steps from YAML configuration file. Parameters ---------- filepath : pathlib.Path or str Path of the YAML configuration file. Returns ------- list List of time-step indices (as a list of integers). """ with op...
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def join_expressions(positions, labels, sep="\t"): """Join mean expressions. Join expressions from different time points and return only those that are in all samples. """ dfs = [] for position, replicates in positions: dfs.append( get_mean_expression( replic...
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def current_snapshot(id_or_symbol): """ 获得当前市场快照数据。只能在日内交易阶段调用,获取当日调用时点的市场快照数据。 市场快照数据记录了每日从开盘到当前的数据信息,可以理解为一个动态的day bar数据。 在目前分钟回测中,快照数据为当日所有分钟线累积而成,一般情况下,最后一个分钟线获取到的快照数据应当与当日的日线行情保持一致。 需要注意,在实盘模拟中,该函数返回的是调用当时的市场快照情况,所以在同一个handle_bar中不同时点调用可能返回的数据不同。 如果当日截止到调用时候对应股票没有任何成交,那么snapshot中的close, hig...
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def infection_rate_symptomatic_50x40(): """ Real Name: b'infection rate symptomatic 50x40' Original Eqn: b'Susceptible 40*Infected symptomatic 40x50*contact infectivity symptomatic 40x50*(self quarantine policy SWITCH self 40\\\\ * self quarantine policy 40+(1-self quarantine policy SWITCH self 40))/non con...
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def deepcopy_sqla_object(startobj: object, session: Session, flush: bool = True, debug: bool = False, debug_walk: bool = False, debug_rewrite_rel: bool = False, objmap: D...
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def test_nodes_one(test_graph): """Test nodes method list.""" assert test_graph[1].nodes() == ['A']
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def temperature(temp, season, daylight, hours=None): """ Temperature method for Menu option 1 """ try: if season == 0: # Isolate winter to narrow down the target month df_season = df.loc[df['Season'] == 0] m_range = (210, 720) # Winter daylight hour range in minutes ...
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def remove_stress_utility(duthost, container_name): """Removes the 'stress' utility from container. Args: duthost: The AnsibleHost object of DuT. container_name: Name of container. Returns: None. """ logger.info("Removing 'stress' utility from '{}' container ...".format(con...
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def cut_limits(x_data: tuple, y_data: tuple, x_lims: tuple): """Selecting range of x/y data based on x_lims. Args: x_data (tuple): x axis data y_data (tuple): y axis values x_lims (tuple): limits to select range from x and y Raises: ValueError: If x_lims have wrong shape ...
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def str_to_number_with_uncert(representation): """ Given a string that represents a number with uncertainty, returns the nominal value and the uncertainty. See the documentation for ufloat_fromstr() for a list of accepted formats. When no numerical error is given, an uncertainty of 1 on the la...
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def saveRecipe(): """ Processing POST method from local for saving the new generated recipe :return: """ method = request.method if(method == "POST" and checkPassword(request, app.admin_password)): j = json.loads(request.json) fields = ['name','url', 'ingredients','picture'] ...
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def list_queues_command(client: Client, args: Dict[str, Any]) -> CommandResults: """ List queues in Azure storage account. Args: client (Client): Azure Queue Storage API client. args (dict): Command arguments from XSOAR. Returns: CommandResults: outputs, readable outputs and ra...
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def isUnsaturated(mol): """ Does the molecule have a bond that's not single? Eg. a bond that is double or triple or benzene """ cython.declare(atom1=Atom, atom2=Atom, bonds=dict, bond=Bond) for atom1 in mol.atoms: bonds = mol.getBo...
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def run_with_fixed_seeds(count=128, master_seed=0x243F6A8885A308D3): """ decorator run test method w/ multiple fixed seeds. """ def builder(func): @wraps(func) def wrapper(*args, **kwds): rng = random.Random(master_seed) for _ in irange(count): kwd...
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def merge_cv_results(cv_results): """ Means across CV """ dtypes = ["train", "dev", "test"] props_l1 = ["mean_loss", "mean_accuracy", "mean_positive_f1", "UL-A", "Joint-A"] props_l2 = ["accuracy", "positive_f1"] merged_results = {} for dtype in dtypes: merged_results[dt...
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def _broads_cores(sigs_in: List[Tuple[str]], shapes: Tuple[Tuple[int, ...]], msg: str ) -> Tuple[List[Tuple[int, ...]], List[Tuple[int, ...]]]: """Extract broadcast and core shapes of arrays Parameters ---------- sigs_in : Tuple[str, ...] Co...
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def batch_iou(boxes, box): """Compute the Intersection-Over-Union of a batch of boxes with another box. Args: box1: 2D array of [cx, cy, width, height]. box2: a single array of [cx, cy, width, height] Returns: ious: array of a float number in range [0, 1]. """ lr = np.maximum(np.min...
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def createRandomIntID(length): """ Creates a random number.\n Useful for identifiers. """ global dict_of_ids final_id = '' for _ in range(length): final_id += str(random.randint(0,10)) if int(final_id) in dict_of_ids: final_id = createRandomIntID(length) dict_of_ids[i...
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def get_all_colors(): """ :return: Color Options """ return color
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def get_username(): """Get Windows username Get current logged in user's username :return: Username :Example: >>> get_username() 'Automagica' Keywords windows, login, logged in, lockscreen, user, password, account, lock, locked, freeze, hibernate, sleep Icon las la-us...
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def _ParseStepLogIfAppropriate(data, log_name): """PConditionally parses the contents of data, based on the log type.""" if not data: return None if log_name.lower() == 'json.output[ninja_info]': # Check if data is malformatted. try: json.loads(data) except ValueError: logging.error('...
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def perform_fun(username, channel_id): """This is the FUNction.""" fun_count = 0 try: while True: fun_count += 1 msg = 'Hi %s! This is %ix fun!' % (username, fun_count) API.chat.post_message(channel_id, msg, as_user=True) wait = random.randint(1, 10) ...
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def lr_finder_plot(lr_array, batch_loss): """Function to plot learning rate vs batch loss Parameters ---------- lr_array : list List of learning rates per iteration batch_loss : list List of losses per iteration """ fig1 = plt.figure() ax1 = fig1.add_subplot(111) a...
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def _plot_changes_since_last_quarter(report, filename, kind): """ Internal function to plot a heatmap of the changes to the monthly revenue/spending/fund balance totals since last quarter. """ kind = kind.lower() assert kind in ["revenue", "spending", "fund balance"] this_quarter = f"FY{str...
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def RSIZJ(df, N=3, LL=6, LH=6): """ 相对强弱专家系统 :param df: :param N: :param LL: :param LH: :return: """ CLOSE = df['close'] LC = REF(CLOSE, 1) WRSI = SMA(MAX(CLOSE - LC, 0), N, 1) / SMA(ABS(CLOSE - LC), N, 1) * 100 ENTERLONG = CROSS(WRSI, LL) EXITLONG = CROSS(LH, WRSI) ...
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def autocomplete_service_env(actions, objects): """ Returns current service_env for object. Used as a callback for `default_value`. Args: actions: Transition action list objects: Django models objects Returns: service_env id """ service_envs = [obj.service_env_id fo...
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def SoftwareProvenanceConst_get_decorator_type_name(): """SoftwareProvenanceConst_get_decorator_type_name() -> std::string""" return _RMF.SoftwareProvenanceConst_get_decorator_type_name()
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def collate_fn(batch, train=True): """ list of tensors to a batch tensors """ premise_batch, _ = pad_batch([row['premise'] for row in batch]) hypothesis_batch, _ = pad_batch([row['hypothesis'] for row in batch]) label_batch = torch.stack([row['label'] for row in batch]) # PyTorch RNN requires batch...
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def test_run_tests_using_unittest_and_display_results(qtbot, tmpdir, monkeypatch): """Basic check.""" os.chdir(tmpdir.strpath) testfilename = tmpdir.join('test_foo.py').strpath with open(testfilename, 'w') as f: f.write("import unittest\n" ...
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def weights_and_neighbours(graph): """Compute weight and neighbors matrices from graph Parameters ---------- graph : scipy.sparse.csr_matrix sparse distance matrix representing an undirected graph Returns ------- weights : array_like (N,M) corresponding weights for N nodes ...
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async def test_create() -> None: """Creating a record using model-based access""" user = await User.prisma().create({'name': 'Robert'}) assert isinstance(user, User) assert user.name == 'Robert' user = await User.prisma().create( data={ 'name': 'Tegan', 'posts': { ...
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def load_archive(args): """ Load or create the model, optimizer, and parameters as a `ModelArchive`. If the command is `start`, this attempts to create a new `ModelArchive` with name `args.name`, if possible (that is, without overwriting an existing one). If the command is `resume`, this attemp...
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def _json_request(): """ Make an json request """ client = HttpClient() response = client.get('https://api.github.com/') assert response.status_code == 200 assert response.ok assert isinstance(response.json, dict)
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def aabb_with_result(a: Rectangle, b: Rectangle, result: Rectangle) -> bool: """ Does Axis Aligned Bounding Box collision detection between two rectangles a and b. Also calculates the intersection rectangle. :param a: :param b: :param result: :return: """ # Horizontal amin = a.x ...
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def intersperse(iteratorables: List[Iterable]): """ Given a list of iterables, return a single list with all the individual items interspersed For example: [[1,2,3], [4,5,6]] should return [1,4,2,5,3,6]. Adapted from: https://www.geeksforgeeks.org/python-merge-two-lists-alternatively/ :param iterator...
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def make_visualizations_from_config(config: Config, extension: str = 'pdf') -> List[Figure]: """ Used to generate the embedding visualizations from a given Config object :param config: the Config used :param extension: the extension to be saved the artifacts :retu...
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def get_intervals(bin_type, thresholds): """ Returns a list of interval objects. If bin_type is *within*, then intervals are formed by using each pair of consecutive thresholds. For bin_type below* the interval [-np.inf, threshold] is used and for bin_type above* the inveral [threshold, np.inf] is used. ...
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def register_output_contents(coll_scope, coll_name, contents, request_id=None, workload_id=None, relation_type=CollectionRelationType.Output, session=None): """ register contents with collection scope, collection name, request id, workload id and contents. :param coll_scope: sc...
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def check_bash_path(fname): """Check if file is in your bash path and executable (i.e. executable from command line), and prepend path to it if so. Arguments: ---------- fname : str Filename to check. Returns: -------- fname : str Potentially updated filename with absolute...
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def plot_eco_rats(bin_centers,y_vals,neigh_val,ax,col_num,plot_idx,only=False): """ Returns subplots of ECO density-cut,mass ratios Parameters ---------- bin_centers: array-like An array with the medians mass values of the mass bins y_vals: array-like An array containing th...
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def shapely_formatter(_, vertices, codes=None): """`Shapely`_ style contour formatter. Contours are returned as a list of :class:`shapely.geometry.LineString`, :class:`shapely.geometry.LinearRing`, and :class:`shapely.geometry.Point` geometry elements. Filled contours return a list of :class:`shap...
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def _patch_redirect(session): # type: (requests.Session) -> None """Whether redirect policy should be applied based on status code. HTTP spec says that on 301/302 not HEAD/GET, should NOT redirect. But requests does, to follow browser more than spec https://github.com/requests/requests/blob/f6e13cc...
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def cal_rank_from_proc_loc(pnx: int, pi: int, pj: int): """Given (pj, pi), calculate the rank. Arguments --------- pnx : int Number of MPI ranks in x directions. pi, pj : int The location indices of this rank in x and y direction in the 2D Cartesian topology. Returns ------...
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def get_kafka_brokers(): """ Parses the KAKFA_URL and returns a list of hostname:port pairs in the format that kafka-python expects. """ # NOTE: The Kafka environment variables need to be present. If using # Apache Kafka on Heroku, they will be available in your app configuration. if not os....
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def width_trailing(sdf): """Return the FWHM width in arcmin for the trailing tail""" # Go out to RA=245 deg trackRADec_trailing=\ bovy_coords.lb_to_radec(sdf._interpolatedObsTrackLB[:,0], sdf._interpolatedObsTrackLB[:,1], degree=True) ...
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def load_report_fn(report_path: gpath.GPath) -> Optional[ExperimentReport]: """Tries to load report from path, if it exists. Returns None otherwise.""" report = None if not gfile.Exists(report_path): print(f'File {report_path} does not exist.') return report try: report = hparams_utils.load_datacla...
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def get_proposal_statistics_report(from_date, to_date, all_fields=False): """Gets the proposal statistics report from Cayuse""" # List of fields we want to retrieve from Cayuse and include in the CSV REPORT_FIELDS = ( 'application_type_code', 'proposal_id', 'employee_id', 'f...
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def emitter_for_format(construct_format): """ Creates a factory method for the relevant construct format. """ def _factory(): return ConstructEmitter(construct_format) return _factory
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def get_client(settings): """Return a client for the Elasticsearch index.""" host = settings["elasticsearch_url"] kwargs = {} # nb. No AWS credentials here because we assume that if using AWS-managed # ES, the cluster lives inside a VPC. return Elasticsearch([host], **kwargs)
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def merge_model_predict( predict: TModelPredict, predict_append: TModelPredict ) -> TModelPredict: """Append model predictions to an existing set of model predictions. TModelPredict is of the form: {metric_name: [mean1, mean2, ...], {metric_name: {metric_name: [var1, var2, ...]}}) This...
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def test_static_raw(good_data): """ Test statically sized raw fields """ packet1 = StaticPacket(raw=good_data) raw1 = packet1.pack() packet2 = StaticPacket.from_raw(raw1) raw2 = struct.pack(u'>256s', good_data) packet3 = StaticPacket() packet3.unpack(raw2) assert packet1['raw'].rs...
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def voucher_objects(states=voucher_states()): """ Build ``Voucher`` instances. """ return builds( Voucher, number=vouchers(), created=one_of(none(), datetimes()), expected_tokens=integers(min_value=1), state=states, )
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def vpga_u(X,Y,Gamma=1, sigmaX=3, sigmaY=1, polarIn=False, polarOut=False): """ Velocity for 2D Gaussian vortex patch asymmetric """ print('>>>> TODO vpga is wrong for now') if polarIn: r = X theta = Y X = r*np*cos(theta) Y = r*np*sin(theta) else: ...
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def get_mime(path=None): """Returns the MIME type to use for the given path. Defaults to 'text/plain' if the extension is not recognized, or if no argument is passed.""" if not path: return MIME_PLAIN _, ext = os.path.splitext(path) without_dot = ext[1:] return MIMES.get(without_dot, MIM...
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def lang_sel(request, langid, idx): """ Selects a file to be translated """ if langid not in [l[0] for l in settings.LANGUAGES]: raise Http404 else: rosetta_i18n_catalog_filter = request.session.get('rosetta_i18n_catalog_filter', 'project') third_party_apps = rosetta_i18n_c...
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