code: def wordpieces():
      strings = [
          ["some", "random", "strings"],
          ["are"],
          ["added", "here"],
      ]
      shape = (len(strings), max(len(seq) for seq in strings))
      wordpieces = WordpieceBatch(
          strings=strings,
          input_ids=numpy.zeros(shape, dtype="i"),
          token_type_ids=numpy.zeros(shape, dtype="i"),
          attention_mask=numpy.zeros(
              (shape[0], shape[1]), dtype="bool"
          ),
          lengths=[len(seq) for seq in strings],
      )
      return wordpieces
  
imports: import pytest
  import numpy
  from numpy.testing import assert_equal
  from spacy_transformers.data_classes import WordpieceBatch
label_desc: Use image node_id 1 for calling a global function with example usage: wordpieces() and returns: wordpieces