text: import numbers
  import random
  import math
  
  import torch
  from torch_geometric.transforms import LinearTransformation
  
  
  class RandomRotate(object):
      def __init__(self, degrees, axis=0):
          if isinstance(degrees, numbers.Number):
              degrees = (-abs(degrees), abs(degrees))
          assert isinstance(degrees, (tuple, list)) and len(degrees) == 2
          self.degrees = degrees
          self.axis = axis
  
      def __call__(self, data):
          degree = math.pi * random.uniform(*self.degrees) / 180.0
          sin, cos = math.sin(degree), math.cos(degree)
  
          if data.pos.size(1) == 2:
              matrix = [[cos, sin], [-sin, cos]]
          else:
              if self.axis == 0:
                  matrix = [[1, 0, 0], [0, cos, sin], [0, -sin, cos]]
              elif self.axis == 1:
                  matrix = [[cos, 0, -sin], [0, 1, 0], [sin, 0, cos]]
              else:
                  matrix = [[cos, sin, 0], [-sin, cos, 0], [0, 0, 1]]
          return LinearTransformation(torch.tensor(matrix))(data)
  
      def __repr__(self):
          return '{}({})'.format(self.__class__.__name__, self.degrees)
  