code: def AND(x, y):
      from .binary import BinarySharedTensor
  
      x_share = x
      y_share = y
      if isinstance(x, BinarySharedTensor):
          x_share = x.share
          y_share = y.share
  
      x_shares, y_shares = replicate_shares([x_share, y_share])
      x1, x2 = x_shares
      y1, y2 = y_shares
  
      z = x.shallow_copy()
      z.share = (x1 & y1) ^ (x2 & y1) ^ (x1 & y2)
  
      return z
  
file_path: FATE/python/fate/arch/protocol/mpc/primitives/replicated.py
imports: import torch
  from ..None import communicator
label_desc: Use image node_id 11 for calling a global function with example usage: AND(x, y) and returns: z