class_docstr: Naive (but fast) aggregator method which returns every N'th point.
  
  !!! note
      This downsampler supports all dtypes.
class_docstr_tok: ["Naive","(","but","fast",")","aggregator","method","which","returns","every","N'th","point",".","!","!","!","note","This","downsampler","supports","all","dtypes","."]
code: def _arg_downsample(
      self,
      x: np.ndarray | None,
      y: np.ndarray,
      n_out: int,
  ) -> np.ndarray:
      return EveryNthDownsampler().downsample(y, n_out=n_out)
  
imports: from __future__ import annotations
  import math
  from typing import Tuple
  import numpy
  from tsdownsample import EveryNthDownsampler, LTTBDownsampler, MinMaxDownsampler, MinMaxLTTBDownsampler
  from ..aggregation.aggregation_interface import DataAggregator, DataPointSelector
label_desc: Use image node_id 1 for calling the EveryNthPoint obj's underlying member method code with example usage: obj._arg_downsample(x, y, n_out) and returns: EveryNthDownsampler