forked from 170010011/fr
198 lines
6.3 KiB
Python
198 lines
6.3 KiB
Python
#!/usr/bin/env python
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from __future__ import division, print_function, absolute_import
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import numpy as np
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from numpy.testing import (assert_allclose, assert_, assert_raises,
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assert_equal)
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import pywt
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def test_wavelet_packet_structure():
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x = [1, 2, 3, 4, 5, 6, 7, 8]
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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assert_(wp.data == [1, 2, 3, 4, 5, 6, 7, 8])
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assert_(wp.path == '')
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assert_(wp.level == 0)
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assert_(wp['ad'].maxlevel == 3)
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def test_traversing_wp_tree():
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x = [1, 2, 3, 4, 5, 6, 7, 8]
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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assert_(wp.maxlevel == 3)
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# First level
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assert_allclose(wp['a'].data, np.array([2.12132034356, 4.949747468306,
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7.778174593052, 10.606601717798]),
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rtol=1e-12)
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# Second level
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assert_allclose(wp['aa'].data, np.array([5., 13.]), rtol=1e-12)
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# Third level
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assert_allclose(wp['aaa'].data, np.array([12.727922061358]), rtol=1e-12)
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def test_acess_path():
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x = [1, 2, 3, 4, 5, 6, 7, 8]
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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assert_(wp['a'].path == 'a')
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assert_(wp['aa'].path == 'aa')
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assert_(wp['aaa'].path == 'aaa')
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# Maximum level reached:
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assert_raises(IndexError, lambda: wp['aaaa'].path)
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# Wrong path
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assert_raises(ValueError, lambda: wp['ac'].path)
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def test_access_node_atributes():
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x = [1, 2, 3, 4, 5, 6, 7, 8]
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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assert_allclose(wp['ad'].data, np.array([-2., -2.]), rtol=1e-12)
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assert_(wp['ad'].path == 'ad')
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assert_(wp['ad'].node_name == 'd')
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assert_(wp['ad'].parent.path == 'a')
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assert_(wp['ad'].level == 2)
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assert_(wp['ad'].maxlevel == 3)
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assert_(wp['ad'].mode == 'symmetric')
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def test_collecting_nodes():
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x = [1, 2, 3, 4, 5, 6, 7, 8]
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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# All nodes in natural order
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assert_([node.path for node in wp.get_level(3, 'natural')] ==
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['aaa', 'aad', 'ada', 'add', 'daa', 'dad', 'dda', 'ddd'])
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# and in frequency order.
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assert_([node.path for node in wp.get_level(3, 'freq')] ==
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['aaa', 'aad', 'add', 'ada', 'dda', 'ddd', 'dad', 'daa'])
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def test_reconstructing_data():
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x = [1, 2, 3, 4, 5, 6, 7, 8]
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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# Create another Wavelet Packet and feed it with some data.
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new_wp = pywt.WaveletPacket(data=None, wavelet='db1', mode='symmetric')
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new_wp['aa'] = wp['aa'].data
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new_wp['ad'] = [-2., -2.]
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# For convenience, :attr:`Node.data` gets automatically extracted
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# from the :class:`Node` object:
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new_wp['d'] = wp['d']
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# Reconstruct data from aa, ad, and d packets.
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assert_allclose(new_wp.reconstruct(update=False), x, rtol=1e-12)
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# The node's :attr:`~Node.data` will not be updated
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assert_(new_wp.data is None)
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# When `update` is True:
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assert_allclose(new_wp.reconstruct(update=True), x, rtol=1e-12)
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assert_allclose(new_wp.data, np.arange(1, 9), rtol=1e-12)
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assert_([n.path for n in new_wp.get_leaf_nodes(False)] ==
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['aa', 'ad', 'd'])
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assert_([n.path for n in new_wp.get_leaf_nodes(True)] ==
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['aaa', 'aad', 'ada', 'add', 'daa', 'dad', 'dda', 'ddd'])
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def test_removing_nodes():
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x = [1, 2, 3, 4, 5, 6, 7, 8]
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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wp.get_level(2)
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dataleafs = [n.data for n in wp.get_leaf_nodes(False)]
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expected = np.array([[5., 13.], [-2, -2], [-1, -1], [0, 0]])
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for i in range(4):
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assert_allclose(dataleafs[i], expected[i, :], atol=1e-12)
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node = wp['ad']
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del(wp['ad'])
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dataleafs = [n.data for n in wp.get_leaf_nodes(False)]
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expected = np.array([[5., 13.], [-1, -1], [0, 0]])
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for i in range(3):
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assert_allclose(dataleafs[i], expected[i, :], atol=1e-12)
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wp.reconstruct()
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# The reconstruction is:
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assert_allclose(wp.reconstruct(),
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np.array([2., 3., 2., 3., 6., 7., 6., 7.]), rtol=1e-12)
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# Restore the data
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wp['ad'].data = node.data
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dataleafs = [n.data for n in wp.get_leaf_nodes(False)]
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expected = np.array([[5., 13.], [-2, -2], [-1, -1], [0, 0]])
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for i in range(4):
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assert_allclose(dataleafs[i], expected[i, :], atol=1e-12)
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assert_allclose(wp.reconstruct(), np.arange(1, 9), rtol=1e-12)
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def test_wavelet_packet_dtypes():
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N = 32
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for dtype in [np.float32, np.float64, np.complex64, np.complex128]:
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x = np.random.randn(N).astype(dtype)
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if np.iscomplexobj(x):
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x = x + 1j*np.random.randn(N).astype(x.real.dtype)
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wp = pywt.WaveletPacket(data=x, wavelet='db1', mode='symmetric')
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# no unnecessary copy made
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assert_(wp.data is x)
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# assiging to a node should not change supported dtypes
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wp['d'] = wp['d'].data
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assert_equal(wp['d'].data.dtype, x.dtype)
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# full decomposition
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wp.get_level(wp.maxlevel)
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# reconstruction from coefficients should preserve dtype
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r = wp.reconstruct(False)
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assert_equal(r.dtype, x.dtype)
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assert_allclose(r, x, atol=1e-5, rtol=1e-5)
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# first element of the tuple is the input dtype
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# second element of the tuple is the transform dtype
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dtype_pairs = [(np.uint8, np.float64),
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(np.intp, np.float64), ]
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if hasattr(np, "complex256"):
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dtype_pairs += [(np.complex256, np.complex128), ]
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if hasattr(np, "half"):
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dtype_pairs += [(np.half, np.float32), ]
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for (dtype, transform_dtype) in dtype_pairs:
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x = np.arange(N, dtype=dtype)
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wp = pywt.WaveletPacket(x, wavelet='db1', mode='symmetric')
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# no unnecessary copy made of top-level data
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assert_(wp.data is x)
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# full decomposition
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wp.get_level(wp.maxlevel)
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# reconstructed data will have modified dtype
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r = wp.reconstruct(False)
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assert_equal(r.dtype, transform_dtype)
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assert_allclose(r, x.astype(transform_dtype), atol=1e-5, rtol=1e-5)
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def test_db3_roundtrip():
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original = np.arange(512)
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wp = pywt.WaveletPacket(data=original, wavelet='db3', mode='smooth',
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maxlevel=3)
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r = wp.reconstruct()
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assert_allclose(original, r, atol=1e-12, rtol=1e-12)
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