code: def repeat(
      a: NdarrayOrTensor,
      repeats: int,
      axis: int | None = None,
      **kwargs,
  ) -> NdarrayOrTensor:
      """
      `np.repeat` with equivalent implementation for torch (`repeat_interleave`).
  
      Args:
          a: input data to repeat.
          repeats: number of repetitions for each element, repeats is broadcast to fit the shape of the given axis.
          axis: axis along which to repeat values.
          kwargs: if `a` is PyTorch Tensor, additional args for `torch.repeat_interleave`, more details:
              https://pytorch.org/docs/stable/generated/torch.repeat_interleave.html.
  
      """
      if isinstance(a, np.ndarray):
          return np.repeat(a, repeats, axis)
      return torch.repeat_interleave(a, repeats, dim=axis, **kwargs)
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from typing import TypeVar
  import numpy
  import torch
  from monai.config.type_definitions import NdarrayOrTensor, NdarrayTensor
  from monai.utils.misc import is_module_ver_at_least
  from monai.utils.type_conversion import convert_data_type, convert_to_dst_type
label_desc: Use image node_id 20 for calling a global function with example usage: repeat(a, repeats, axis) and returns: torch, np