code: def test_cola(ndim):
      """Test COLA processing."""
      sfreq = 1000.0
      rng = np.random.RandomState(0)
  
      def processor(x):
          return (x / 2.0,)  # halve the signal
  
      for n_total in (999, 1000, 1001):
          signal = rng.randn(n_total)
          out = rng.randn(n_total)  # shouldn't matter
          for _ in range(ndim - 1):
              signal = signal[np.newaxis]
              out = out[np.newaxis]
          for n_samples in (
              99,
              100,
              101,
              102,
              n_total - n_total // 2 + 1,
              n_total,
          ):
              for window in ("hann", "bartlett", "boxcar", "triang"):
                  # A few example COLA possibilities
                  n_overlaps = ()
                  if (
                      window in ("hann", "bartlett")
                      or n_samples % 2 == 0
                  ):
                      n_overlaps += ((n_samples + 1) // 2,)
                  if window == "boxcar":
                      n_overlaps += (0,)
                  for n_overlap in n_overlaps:
                      # can pass callable or ndarray
                      for storer in (out, _Storer(out)):
                          cola = _COLA(
                              processor,
                              storer,
                              n_total,
                              n_samples,
                              n_overlap,
                              sfreq,
                              window,
                          )
                          n_input = 0
                          # feed data in an annoying way
                          while n_input < n_total:
                              next_len = min(
                                  rng.randint(1, 30), n_total - n_input
                              )
                              cola.feed(
                                  signal[
                                      ..., n_input : n_input + next_len
                                  ]
                              )
                              n_input += next_len
                          assert_allclose(out, signal / 2.0, atol=1e-7)
  
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose
  from mne._ola import _COLA, _Interp2, _Storer
label_desc: Use image node_id 2 for calling a global function with example usage: test_cola(ndim) and returns: unknown