code: def test_predict_all(
      model: pykeen.models.Model,
      k: Optional[int],
      target: pykeen.typing.Target,
      batch_size: int,
  ):
      """Test the predict method."""
      pack = pykeen.predict.predict_all(
          model=model, k=k, target=target, batch_size=batch_size
      )
      _check_score_pack(
          pack=pack,
          model=model,
          num_triples=model.num_entities**2 * model.num_real_relations
          if k is None
          else k,
      )
  
imports: from typing import Any, Collection, Iterable, MutableMapping, Optional, Sequence, Tuple, Union
  import numpy
  import pandas
  import pytest
  import torch
  import unittest_templates
  import pykeen.models
  import pykeen.models.mocks
  import pykeen.predict
  import pykeen.regularizers
  import pykeen.typing
  from pykeen.constants import COLUMN_LABELS
  from pykeen.datasets.nations import Nations
  from pykeen.triples.triples_factory import AnyTriples, CoreTriplesFactory, KGInfo
  from pykeen.utils import resolve_device
  from tests import cases
label_desc: Use image node_id 5 for calling a global function with example usage: test_predict_all(model, k, target, batch_size) without return types