code: def _mover_confint_sum(stat, ci):
      stat_ = stat.sum(0)
      low_half = np.sqrt(np.sum((stat_ - ci[0]) ** 2))
      upp_half = np.sqrt(np.sum((stat_ - ci[1]) ** 2))
      ci = (stat - low_half, stat + upp_half)
      return ci
  
imports: import numpy
  from numpy.testing import assert_allclose
label_desc: Use image node_id 2 for calling a global function with example usage: _mover_confint_sum(stat, ci) and returns: ci