docstr: Test that distances between one word and multiple other words have expected values.
code: def test_distances(self):
      """Test that distances between one word and multiple other words have expected values."""
      distances = self.vectors.distances(
          "dog.n.01", ["mammal.n.01", "dog.n.01"]
      )
      self.assertTrue(np.allclose(distances, [4.5278745, 0]))
  
      distances = self.vectors.distances("dog.n.01")
      self.assertEqual(len(distances), len(self.vectors))
      self.assertTrue(np.allclose(distances[-1], 10.04756))
  
imports: import logging
  import os
  import tempfile
  import unittest
  import numpy
  from gensim.models.poincare import PoincareRelations, PoincareModel, PoincareKeyedVectors
  from gensim.test.utils import datapath
label_desc: Use image node_id 9 for calling the TestPoincareKeyedVectors obj's underlying member method code with example usage: obj.test_distances() without return types