code: def repeat(src: Any, length: int) -> Any:
      if src is None:
          return None
  
      if isinstance(src, Tensor):
          if src.numel() == 1:
              return src.repeat(length)
  
          if src.numel() > length:
              return src[:length]
  
          if src.numel() < length:
              last_elem = src[-1].unsqueeze(0)
              padding = last_elem.repeat(length - src.numel())
              return torch.cat([src, padding])
  
          return src
  
      if isinstance(src, numbers.Number):
          return list(itertools.repeat(src, length))
  
      if len(src) > length:
          return src[:length]
  
      if len(src) < length:
          return src + list(
              itertools.repeat(src[-1], length - len(src))
          )
  
      return src
  
imports: import itertools
  import numbers
  from typing import Any
  import torch
  from torch import Tensor
label_desc: Use image node_id 1 for calling a global function with example usage: repeat(src, length) and returns: src, None, src, list, src, unknown, src, src, torch