code: def mode(
      x: NdarrayTensor, dim: int = -1, to_long: bool = True
  ) -> NdarrayTensor:
      """`torch.mode` with equivalent implementation for numpy.
  
      Args:
          x: array/tensor.
          dim: dimension along which to perform `mode` (referred to as `axis` by numpy).
          to_long: convert input to long before performing mode.
      """
      dtype = torch.int64 if to_long else None
      x_t, *_ = convert_data_type(x, torch.Tensor, dtype=dtype)
      o_t = torch.mode(x_t, dim).values
      o, *_ = convert_to_dst_type(o_t, x)
      return o
  
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 24 for calling a global function with example usage: mode(x, dim, to_long) and returns: o