code: def uniform_int(low:int, high:int, size:Optional[List[int]]=None)->IntOrTensor:
      "Generate int or tensor `size` of ints between `low` and `high` (included)."
      return random.randint(low,high) if size is None else torch.randint(low,high+1,sizef uniform_int(low:int, high:int, size:Optional[List[int]]=None)->IntOrTensor:
      "Generate int or tensor `size` of ints between `low` and `high` (included)."
      return random.randint(low,high) if size is None else torch.randint(low,high+1,size)
docs: Generate int or tensor `size` of ints between `low` and `high` (included).