code: def decode(self, ids: List[int]) -> str:
      if self.hasnan and ids[0] == self.NA_token_id[0]:
          return self.NA_token
      v = 0
      for i in reversed(range(self.code_len)):
          digit = int(
              self.digits_id_to_item[i][ids[self.code_len - i - 1]]
          )
          v += digit * self.base**i
      v = self.reverse_convert_to_int(v)
      accuracy = max(
          int(abs(np.log10(0.1 / self.base**self.extra_digits))), 1
      )
      return f"{v:.{accuracy}f}"
  
imports: import math
  from typing import Dict, List, Tuple
  import numpy
  from numpy import ndarray
  from sklearn.preprocessing import PowerTransformer, QuantileTransformer, RobustScaler
  from nemo.utils import logging
label_desc: Use image node_id 5 for calling the FloatCode obj's underlying member method code with example usage: obj.decode(ids) and returns: v, self