code: def test_evaluate_equal_dim_and_num_lt(self):
      x1 = np.arange(3, 10, 2)
      x2 = np.arange(3, 8, 2)
      kde = mlab.GaussianKDE(x1)
      y_expected = [0.08797252, 0.11774109, 0.11774109]
      y = kde.evaluate(x2)
      np.testing.assert_array_almost_equal(y, y_expected, 7)
  
imports: from numpy.testing import assert_allclose, assert_almost_equal, assert_array_equal, assert_array_almost_equal_nulp
  import numpy
  import pytest
  from matplotlib import mlab
label_desc: Use image node_id 5 for calling the TestGaussianKDEEvaluate obj's underlying member method code with example usage: obj.test_evaluate_equal_dim_and_num_lt() without return types