code: def test_score_threshold(self, mocked_sort):
      mocked_sort.return_value = (None, torch.tensor([0, 1]))
      embedder = TransformersSimilarityRanker(
          model="model", scale_score=False, score_threshold=0.1
      )
      embedder._model = MagicMock()
      embedder._model.return_value = SequenceClassifierOutput(
          loss=None,
          logits=torch.FloatTensor([[0.955], [0.001]]),
          hidden_states=None,
          attentions=None,
      )
      embedder.tokenizer = MagicMock()
  
      documents = [
          Document(content="document number 0"),
          Document(content="document number 1"),
      ]
      out = embedder.run(query="test", documents=documents)
      assert len(out["documents"]) == 1
  
file_path: haystack/test/components/rankers/test_transformers_similarity.py
imports: from unittest.mock import MagicMock, patch
  import pytest
  import torch
  from transformers.modeling_outputs import SequenceClassifierOutput
  from haystack import Document, ComponentError
  from haystack.components.rankers.transformers_similarity import TransformersSimilarityRanker
label_desc: Use image node_id 7 for calling the TestSimilarityRanker obj's underlying member method code with example usage: obj.test_score_threshold(mocked_sort) without return types