code: def test_vectors_get_batch():
      data = OPS.asarray(
          [[4, 2, 2, 2], [4, 2, 2, 2], [1, 1, 1, 1]], dtype="f"
      )
      v = Vectors(data=data, keys=["A", "B", "C"])
      # check with mixed int/str keys
      words = ["C", "B", "A", v.strings["B"]]
      rows = v.find(keys=words)
      vecs = OPS.as_contig(v.data[rows])
      assert_equal(OPS.to_numpy(vecs), OPS.to_numpy(v.get_batch(words)))
  
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
  from thinc.api import NumpyOps, get_current_ops
  from spacy.lang.en import English
  from spacy.strings import hash_string
  from spacy.tokenizer import Tokenizer
  from spacy.tokens import Doc
  from spacy.training.initialize import convert_vectors
  from spacy.vectors import Vectors
  from spacy.vocab import Vocab
  from ..util import add_vecs_to_vocab, get_cosine, make_tempdir
label_desc: Use image node_id 44 for calling a global function with example usage: test_vectors_get_batch() without return types