code: def concatenate(
      to_cat: Sequence[NdarrayOrTensor], axis: int = 0, out=None
  ) -> NdarrayOrTensor:
      """`np.concatenate` with equivalent implementation for torch (`torch.cat`)."""
      if isinstance(to_cat[0], np.ndarray):
          return np.concatenate(to_cat, axis, out)  # type: ignore
      return torch.cat(to_cat, dim=axis, out=out)
  
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 16 for calling a global function with example usage: concatenate(to_cat, axis, out) and returns: torch, np