code: def test_get_input_batch(
      factory: Optional[CoreTriplesFactory],
      head: Union[None, int, str],
      relation: Union[None, int, str],
      tail: Union[None, int, str],
      exp_target: pykeen.typing.Target,
  ):
      """Test input batch construction for target prediction."""
      target, batch, batch_tuple = pykeen.predict._get_input_batch(
          factory=factory, head=head, relation=relation, tail=tail
      )
      assert target == exp_target
      assert isinstance(batch, torch.Tensor)
      assert isinstance(batch_tuple, tuple)
      assert batch.shape == (1, 2)
      assert len(batch_tuple) == 2
      assert batch.flatten().tolist() == list(batch_tuple)
  
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 10 for calling a global function with example usage: test_get_input_batch(factory, head, relation, tail, exp_target) without return types