class_docstr: A dataset of inflow passenger at bus stop level from Montevideo city.
  This dataset comprises hourly inflow passenger data at bus stop level for 11 bus lines during
  October 2020 from Montevideo city (Uruguay). The bus lines selected are the ones that carry
  people to the center of the city and they load more than 25% of the total daily inflow traffic.
  Vertices are bus stops, edges are links between bus stops when a bus line connects them and the
  weight represent the road distance. The target is the passenger inflow. This is a curated
  dataset made from different data sources of the Metropolitan Transportation System (STM) of
  Montevideo. These datasets are freely available to anyone in the National Catalog of Open Data
  from the government of Uruguay (https://catalogodatos.gub.uy/).
code: def _get_edge_weights(self):
      self._edge_weights = np.array(
          [(d["weight"]) for d in self._dataset["links"]]
      ).T
  
file_path: pytorch_geometric_temporal/torch_geometric_temporal/dataset/montevideo_bus.py
imports: from typing import List
  import json
  import urllib
  import numpy
  from torch_geometric_temporal.signal import StaticGraphTemporalSignal
label_desc: Use image node_id 5 for calling the MontevideoBusDatasetLoader obj's underlying member method code with example usage: obj._get_edge_weights() without return types