code: def test_three_overlapping_labels(self):
      raw = ["Indico Is the very best"]
      finetunex = [["Indico ", "Is the very", " best"]]
      finetuney = [[("<PAD>",), ("1", "2", "3"), ("1", "3")]]
      encoder = GPTEncoder()
      indicox_pred, indicoy_pred = finetune_to_indico_sequence(
          raw, finetunex, finetuney, none_value="<PAD>"
      )
      indicoy_pred = [
          sorted(seq, key=lambda x: x["label"]) for seq in indicoy_pred
      ]
      indicoy = [
          sorted(
              [
                  {
                      "start": 7,
                      "end": 18,
                      "label": "2",
                      "text": "Is the very",
                  },
                  {
                      "start": 7,
                      "end": 23,
                      "label": "1",
                      "text": "Is the very best",
                  },
                  {
                      "start": 7,
                      "end": 23,
                      "label": "3",
                      "text": "Is the very best",
                  },
              ],
              key=lambda x: x["label"],
          )
      ]
      self.assertEqual(indicoy, indicoy_pred)
      self.assertEqual(raw, indicox_pred)
  
imports: import unittest
  from collections import Counter
  import pytest
  import numpy
  import tensorflow
  import unicodedata
  from finetune.encoding.sequence_encoder import finetune_to_indico_sequence
  from finetune.optimizers.gradient_accumulation import get_grad_accumulation_optimizer
  from finetune.util.imbalance import compute_class_weights
  from finetune.util.optimize_loss import OPTIMIZERS
  from finetune.util.timing import ProgressBar
  from finetune.errors import FinetuneError
  from finetune import Classifier, SequenceLabeler
  from finetune.base_models.gpt.encoder import GPTEncoder
  from finetune.base_models.gpt2.encoder import GPT2Encoder
  from finetune.base_models.bert.roberta_encoder import RoBERTaEncoderV2, RoBERTaEncoder, RoBERTaEncoderSlow
  from finetune.base_models.bert.encoder import BERTEncoderMultuilingal, BERTEncoder
  from finetune.base_models.oscar.encoder import GPCEncoder
  from finetune.scheduler import Scheduler
label_desc: Use image node_id 7 for calling the TestFinetuneIndicoConverters obj's underlying member method code with example usage: obj.test_three_overlapping_labels() without return types