old_contents: #!/usr/bin/env python
  
  from __future__ import division, print_function, absolute_import
  
  import numpy as np
  from numpy.testing import run_module_suite, assert_allclose
  
  import pywt
  
  
  def test_upcoef_docstring():
      data = [1, 2, 3, 4, 5, 6]
      (cA, cD) = pywt.dwt(data, 'db2', 'sp1')
      rec = pywt.upcoef('a', cA, 'db2') + pywt.upcoef('d', cD, 'db2')
      expect = [-0.25, -0.4330127, 1., 2., 3., 4., 5.,
                6., 1.78589838, -1.03108891]
      assert_allclose(rec, expect)
      n = len(data)
      rec = (pywt.upcoef('a', cA, 'db2', take=n) +
             pywt.upcoef('d', cD, 'db2', take=n))
      assert_allclose(rec, data)
  
  
  def test_upcoef_reconstruct():
      data = np.arange(3)
      a = pywt.downcoef('a', data, 'haar')
      d = pywt.downcoef('d', data, 'haar')
  
      rec = (pywt.upcoef('a', a, 'haar', take=3) +
             pywt.upcoef('d', d, 'haar', take=3))
      assert_allclose(rec, data)
  
  
  if __name__ == '__main__':
      run_module_suite()
  
new_contents: #!/usr/bin/env python
  
  from __future__ import division, print_function, absolute_import
  
  import numpy as np
  from numpy.testing import run_module_suite, assert_allclose
  
  import pywt
  
  
  def test_upcoef_docstring():
      data = [1, 2, 3, 4, 5, 6]
      (cA, cD) = pywt.dwt(data, 'db2', 'sp1')
      rec = pywt.upcoef('a', cA, 'db2') + pywt.upcoef('d', cD, 'db2')
      expect = [-0.25, -0.4330127, 1., 2., 3., 4., 5.,
                6., 1.78589838, -1.03108891]
      assert_allclose(rec, expect)
      n = len(data)
      rec = (pywt.upcoef('a', cA, 'db2', take=n) +
             pywt.upcoef('d', cD, 'db2', take=n))
      assert_allclose(rec, data)
  
  
  def test_upcoef_reconstruct():
      data = np.arange(3)
      a = pywt.downcoef('a', data, 'haar')
      d = pywt.downcoef('d', data, 'haar')
  
      rec = (pywt.upcoef('a', a, 'haar', take=3) +
             pywt.upcoef('d', d, 'haar', take=3))
      assert_allclose(rec, data)
  
  
  def test_downcoef_multilevel():
      r = np.random.randn(16)
      nlevels = 3
      # calling with level=1 nlevels times
      a1 = r.copy()
      for i in range(nlevels):
          a1 = pywt.downcoef('a', a1, 'haar', level=1)
      # call with level=nlevels once
      a3 = pywt.downcoef('a', r, 'haar', level=3)
      assert_allclose(a1, a3)
  
  
  def test_upcoef_multilevel():
      r = np.random.randn(4)
      nlevels = 3
      # calling with level=1 nlevels times
      a1 = r.copy()
      for i in range(nlevels):
          a1 = pywt.upcoef('a', a1, 'haar', level=1)
      # call with level=nlevels once
      a3 = pywt.upcoef('a', r, 'haar', level=3)
      assert_allclose(a1, a3)
  
  
  if __name__ == '__main__':
      run_module_suite()
  
subject: test level>1 cases for pywt.downcoef and pywt.upcoef