code: def repeat_scale(self, scale: torch.Tensor) -> torch.Tensor:
      return scale.squeeze(-1).repeat_interleave(
          self.base_dist.context_length, 0
      )
  
imports: from typing import List, Optional, Tuple
  from cpflows.flows import DeepConvexFlow, SequentialFlow
  import torch
  from torch.distributions import AffineTransform, Distribution, Normal, TransformedDistribution
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the TransformedMQF2Distribution obj's underlying member method code with example usage: obj.repeat_scale(scale) and returns: scale