code: def _fp_sqrt_private(prot, a: "TFEPrivateTensor", precision: int = 1):
      g, _ = _fp_sqrt2(prot, a, precision=precision)
      return g
  
imports: from math import ceil
  from math import log2
  import numpy
  import tensorflow
  from ..protocol import TFEPrivateTensor
  from ..protocol import TFEPublicTensor
label_desc: Use image node_id 9 for calling a global function with example usage: _fp_sqrt_private(prot, a, precision) and returns: g