code: def test_projects_properly(self):
      embedder = BagOfWordCountsTokenEmbedder(
          vocab=self.vocab, projection_dim=50
      )
      numpy_tensor = np.array([[1, 0], [1, 0], [4, 4]])
      inputs = torch.from_numpy(numpy_tensor)
      embedder_output = embedder(inputs)
      assert embedder_output.shape[1] == 50
  
file_path: allennlp/tests/modules/token_embedders/bag_of_word_counts_token_embedder_test.py
imports: import numpy
  import pytest
  import torch
  from numpy.testing import assert_almost_equal
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Vocabulary
  from allennlp.modules.token_embedders import BagOfWordCountsTokenEmbedder
label_desc: Use image node_id 5 for calling the TestBagOfWordCountsTokenEmbedder obj's underlying member method code with example usage: obj.test_projects_properly() without return types