class_docstr: No gap handling.
class_docstr_tok: ["No","gap","handling","."]
code: def _get_gap_mask(self, x_agg: np.ndarray) -> Optional[np.ndarray]:
      return
  
file_path: plotly-resampler/plotly_resampler/aggregation/gap_handlers.py
imports: from __future__ import annotations
  from typing import Optional, Tuple
  import numpy
  from plotly_resampler.aggregation.gap_handler_interface import AbstractGapHandler
label_desc: Use image node_id 1 for calling the NoGapHandler obj's underlying member method code with example usage: obj._get_gap_mask(x_agg) without return types