code: def __init__(
      self,
      nodes_per_layer,
      importance_sampling=True,
      weight="w",
      out_weight="edge_weights",
      skip=False,
  ):
      super().__init__(
          nodes_per_layer, importance_sampling, weight, out_weight
      )
      self.eps = 0.9999
      self.skip = skip
  
file_path: dgl/examples/pytorch/labor/ladies_sampler.py
imports: import dgl
  import dgl.function
  import torch
label_desc: Use image node_id 1 to create a new PoissonLadiesSampler object from inherited base classes: LadiesSampler with example: obj = PoissonLadiesSampler(nodes_per_layer, importance_sampling, weight, out_weight, skip)