code: def _edge_correct(this_result, this_X, smax, smin, ch0, ch1):
      if smax > 0:
          tail = _toeplitz_dot(
              this_X[-1:-smax:-1, ch0], this_X[-1:-smax:-1, ch1]
          )
          if smin > 0:
              tail = tail[smin - 1 :, smin - 1 :]
          this_result[max(-smin + 1, 0) :, max(-smin + 1, 0) :] -= tail
      if smin < 0:
          head = _toeplitz_dot(
              this_X[:-smin, ch0], this_X[:-smin, ch1]
          )[::-1, ::-1]
          if smax < 0:
              head = head[:smax, :smax]
          this_result[:-smin, :-smin] -= head
  
imports: import numpy
  from scipy import linalg
  from scipy.signal import fftconvolve
  from scipy.sparse.csgraph import laplacian
  from ..cuda import _setup_cuda_fft_multiply_repeated
  from ..filter import next_fast_len
  from ..fixes import jit
  from ..utils import ProgressBar, _check_option, _validate_type, logger, warn
  from .base import BaseEstimator
label_desc: Use image node_id 2 for calling a global function with example usage: _edge_correct(this_result, this_X, smax, smin, ch0, ch1) without return types