class_docstr: Uniformly samples a fixed number of points on the mesh faces according
  to their face area (functional name: :obj:`sample_points`).
  
  Args:
      num (int): The number of points to sample.
      remove_faces (bool, optional): If set to :obj:`False`, the face tensor
          will not be removed. (default: :obj:`True`)
      include_normals (bool, optional): If set to :obj:`True`, then compute
          normals for each sampled point. (default: :obj:`False`)
code: def __repr__(self) -> str:
      return f"{self.__class__.__name__}({self.num})"
  
file_path: pytorch_geometric/torch_geometric/transforms/sample_points.py
imports: import torch
  from torch_geometric.data import Data
  from torch_geometric.data.datapipes import functional_transform
  from torch_geometric.transforms import BaseTransform
label_desc: Use image node_id 3 for calling the SamplePoints obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str