code: def combined_all_model_fixture():
      nlp = get_spacy_model(
          "en_core_sci_sm",
          True,
          True,
          True,
          with_custom_tokenizer=True,
          with_sentence_segmenter=False,
          with_serializable_abbreviation_detector=True,
      )
      return nlp
  
imports: from typing import Dict, Tuple, Optional
  import os
  import pytest
  import spacy
  from spacy.language import Language
  from spacy.cli.download import download
  from scispacy.custom_sentence_segmenter import pysbd_sentencizer
  from scispacy.custom_tokenizer import combined_rule_tokenizer, combined_rule_prefixes, remove_new_lines
  from scispacy.abbreviation import AbbreviationDetector
label_desc: Use image node_id 10 for calling a global function with example usage: combined_all_model_fixture() and returns: nlp