class_docstr: Flips node positions along a given axis randomly with a given
  probability (functional name: :obj:`random_flip`).
  
  Args:
      axis (int): The axis along the position of nodes being flipped.
      p (float, optional): Probability that node positions will be flipped.
          (default: :obj:`0.5`)
code: def __init__(self, axis: int, p: float = 0.5) -> None:
      self.axis = axis
      self.p = p
  
file_path: pytorch_geometric/torch_geometric/transforms/random_flip.py
imports: import random
  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 1 to create a new RandomFlip object from inherited base classes: BaseTransform with example: obj = RandomFlip(axis, p)