code: def remove_sum(
      val: float, nobs: int, sum_x: float, compensation: float
  ) -> tuple[int, float, float]:
      if not np.isnan(val):
          nobs -= 1
          y = -val - compensation
          t = sum_x + y
          compensation = t - sum_x - y
          sum_x = t
      return nobs, sum_x, compensation
  
imports: from __future__ import annotations
  import numba
  import numpy
  from pandas.core._numba.kernels.shared import is_monotonic_increasing
label_desc: Use image node_id 2 for calling a global function with example usage: remove_sum(val, nobs, sum_x, compensation) and returns: nobs,  sum_x,  compensation