code: def test_create_vector_settings(
      st_extractor: SentenceTransformersExtractor,
      dataset: FeedbackDataset,
  ):
      dataset = st_extractor._create_vector_settings(
          dataset, fields=["field_1"]
      )
      assert dataset.vectors_settings == [
          VectorSettings(
              name="field_1", dimensions=st_extractor.embedding_dim
          )
      ]
  
file_path: argilla/tests/unit/client/feedback/integrations/test_sentencetransformers.py
imports: from typing import List
  from unittest.mock import MagicMock
  import numpy
  import pytest
  from argilla.client.feedback.dataset.local.dataset import FeedbackDataset
  from argilla.client.feedback.integrations.sentencetransformers import SentenceTransformersExtractor
  from argilla.client.feedback.schemas.fields import TextField
  from argilla.client.feedback.schemas.questions import TextQuestion
  from argilla.client.feedback.schemas.records import FeedbackRecord
  from argilla.client.feedback.schemas.vector_settings import VectorSettings
  from sentence_transformers import SentenceTransformer
label_desc: Use image node_id 5 for calling a global function with example usage: test_create_vector_settings(st_extractor, dataset) without return types