code: def from_shares(share, precision=None, ptype=Ptype.arithmetic):
      result = MPCTensor([])
      from_shares = ptype.to_tensor().from_shares
      result._tensor = from_shares(share, precision=precision)
      result.ptype = ptype
      return result
  
imports: import torch
  from crypten import communicator
  from crypten.common.tensor_types import is_tensor
  from crypten.common.util import torch_stack
  from crypten.config import cfg
  from crypten.cuda import CUDALongTensor
  from ..cryptensor import CrypTensor
  from ..encoder import FixedPointEncoder
  from .primitives.binary import BinarySharedTensor
  from .primitives.converters import convert
  from .ptype import ptype
label_desc: Use image node_id 3 for calling the MPCTensor obj's underlying member method code with example usage: obj.from_shares(share, precision, ptype) and returns: result