code: def config_str():
      return """
      [nlp]
      lang = "en"
      pipeline = ["sentencizer","assert_sents"]
      disabled = []
      before_creation = null
      after_creation = null
      after_pipeline_creation = null
      batch_size = 1000
      tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
  
      [components]
  
      [components.assert_sents]
      factory = "assert_sents"
  
      [components.sentencizer]
      factory = "sentencizer"
      punct_chars = null
  
      [training]
      dev_corpus = "corpora.dev"
      train_corpus = "corpora.train"
      annotating_components = ["sentencizer"]
      max_steps = 2
  
      [corpora]
  
      [corpora.dev]
      @readers = "unannotated_corpus"
  
      [corpora.train]
      @readers = "unannotated_corpus"
      """
  
file_path: spacy/spacy/tests/pipeline/test_annotates_on_update.py
imports: from typing import Callable, Iterable, Iterator
  import pytest
  from thinc.api import Config
  from spacy.lang.en import English
  from spacy.language import Language
  from spacy.training import Example
  from spacy.training.loop import train
  from spacy.util import load_model_from_config, registry
label_desc: Use image node_id 1 for calling a global function with example usage: config_str() and returns: str