class_docstr: Beam search 
class_docstr_tok: ["Beam","search"]
docstr: Walk back to construct the full hypothesis. 
docstr_tok: ["Walk","back","to","construct","the","full","hypothesis","."]
code: def get_hypothesis(self, k):
      """Walk back to construct the full hypothesis."""
      hyp = []
      for j in range(len(self.prev_ks) - 1, -1, -1):
          hyp.append(self.next_ys[j + 1][k])
          k = self.prev_ks[j][k]
      return list(map(lambda x: x.item(), hyp[::-1]))
  
imports: import math
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddle.nn import LayerList
  from paddle.nn import Dropout, Linear, LayerNorm
  import numpy
  from ppocr.modeling.backbones.rec_svtrnet import Mlp, zeros_, ones_
  from paddle.nn.initializer import XavierNormal
label_desc: Use image node_id 9 for calling the Beam obj's underlying member method code with example usage: obj.get_hypothesis(k) and returns: list