old_contents: from unittest import TestCase
  import unittest
  from equadratures.poly import Poly
  from equadratures.sampling_methods.induced import Induced
  from equadratures.parameter import Parameter
  from equadratures.basis import Basis
  import numpy as np
  import time
  
  
  class TestSamplingGeneration(TestCase):
      def test_sampling(self):
          d = 3
          order = 3
          param = Parameter(distribution='uniform', order=order, lower=-1.0, upper=1.0)
          myparameters = [param for _ in range(d)]
          mybasis2 = Basis('total-order')
          mypoly2 = Poly(myparameters, mybasis2, method='least-squares', sampling_args={'mesh':'induced', 'subsampling-algorithm':'qr', 'sampling-ratio':1.0})
          assert mypoly2._quadrature_points.shape == (mypoly2.basis.cardinality, d)
  
      def test_induced_jacobi_evaluation(self):
          dimension = 3
          parameters = [Parameter(1, "Uniform", upper=1, lower=-1)]*dimension
          basis = Basis("total-order")
          induced_sampling = Induced(parameters, basis)
          parameter = parameters[0]
          parameter.order = 3
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 0, parameter)
          np.testing.assert_allclose(cdf_value, 0.5, atol=0.00001)
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 1, parameter)
          assert cdf_value == 1
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, -1, parameter)
          assert cdf_value == 0
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 0.6, parameter)
          np.testing.assert_allclose(cdf_value, 0.7462, atol=0.00005)
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 0.999, parameter)
          np.testing.assert_allclose(cdf_value, 0.99652, atol=0.000005)
  
  if __name__ == '__main__':
      unittest.main()
  
new_contents: from unittest import TestCase
  import unittest
  from equadratures.poly import Poly
  from equadratures.sampling_methods.induced import Induced
  from equadratures.parameter import Parameter
  from equadratures.basis import Basis
  import numpy as np
  # import time
  
  
  class TestSamplingGeneration(TestCase):
      def test_sampling(self):
          d = 3
          order = 3
          param = Parameter(distribution='uniform', order=order, lower=-1.0, upper=1.0)
          myparameters = [param for _ in range(d)]
          mybasis2 = Basis('total-order')
          mypoly2 = Poly(myparameters, mybasis2, method='least-squares', sampling_args={'mesh':'induced', 'subsampling-algorithm':'qr', 'sampling-ratio':1.0})
          assert mypoly2._quadrature_points.shape == (mypoly2.basis.cardinality, d)
  
      def test_induced_jacobi_evaluation(self):
          dimension = 3
          parameters = [Parameter(1, "Uniform", upper=1, lower=-1)]*dimension
          basis = Basis("total-order")
          induced_sampling = Induced(parameters, basis)
          parameter = parameters[0]
          parameter.order = 3
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 0, parameter)
          np.testing.assert_allclose(cdf_value, 0.5, atol=0.00001)
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 1, parameter)
          assert cdf_value == 1
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, -1, parameter)
          assert cdf_value == 0
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 0.6, parameter)
          np.testing.assert_allclose(cdf_value, 0.7462, atol=0.00005)
          cdf_value = induced_sampling.induced_jacobi_evaluation(0, 0, 0.999, parameter)
          np.testing.assert_allclose(cdf_value, 0.99652, atol=0.000005)
  
  if __name__ == '__main__':
      unittest.main()
  
subject: remove test_induced print statement