code: def parse_texts(nlp: Language, texts: Sequence[str]) -> None:
      for doc in nlp.pipe(
          tqdm.tqdm(texts, disable=None), batch_size=16
      ):
          pass
  
file_path: spacy/spacy/cli/profile.py
imports: import cProfile
  import itertools
  import pstats
  import sys
  from pathlib import Path
  from typing import Iterator, Optional, Sequence, Union
  import srsly
  import tqdm
  import typer
  from wasabi import Printer, msg
  from ..language import Language
  from ..util import load_model
  from ._util import NAME, Arg, Opt, app, debug_cli
label_desc: Use image node_id 3 for calling a global function with example usage: parse_texts(nlp, texts) without return types