def test_vector_even(self):
a = np.random.randn(50)
ind = np.arange(50)
b = pyyawt.dyadup(a)
b1 = pyyawt.dyadup(a, 0)
b2 = pyyawt.dyadup(a, 1)
c = np.zeros(101)
c[2 * ind + 1] = a[ind]
c1 = np.zeros(99)
c1[2 * ind] = a[ind]
np.testing.assert_almost_equal(b, b2)
np.testing.assert_almost_equal(b1, c1)
np.testing.assert_almost_equal(b2, c)
a = np.random.randn(1, 50)
ind = np.arange(50)
b = pyyawt.dyadup(a)
b1 = pyyawt.dyadup(a, 0)
b2 = pyyawt.dyadup(a, 1)
b3 = pyyawt.dyadup(a.T)
b4 = pyyawt.dyadup(a.T, 0)
b5 = pyyawt.dyadup(a.T, 1)
c = np.zeros((1, 101))
c[:, 2 * ind + 1] = a[:, ind]
c1 = np.zeros((1, 99))
c1[:, 2 * ind] = a[:, ind]
np.testing.assert_almost_equal(b, b2)
np.testing.assert_almost_equal(b1, c1)
np.testing.assert_almost_equal(b2, c)
np.testing.assert_almost_equal(b3, b2.T)
np.testing.assert_almost_equal(b4, c1.T)
np.testing.assert_almost_equal(b5, c.T)
def test_vector_even(self):
a = np.random.randn(50)
ind = np.arange(50)
b = pyyawt.dyadup(a)
b1 = pyyawt.dyadup(a,0)
b2 = pyyawt.dyadup(a,1)
c = np.zeros(101)
c[2*ind+1] = a[ind]
c1 = np.zeros(99)
c1[2*ind] = a[ind]
np.testing.assert_almost_equal(b, b2)
np.testing.assert_almost_equal(b1, c1)
np.testing.assert_almost_equal(b2, c)
a = np.random.randn(1,50)
ind = np.arange(50)
b = pyyawt.dyadup(a)
b1 = pyyawt.dyadup(a,0)
b2 = pyyawt.dyadup(a,1)
b3 = pyyawt.dyadup(a.T)
b4 = pyyawt.dyadup(a.T,0)
b5 = pyyawt.dyadup(a.T,1)
c = np.zeros((1,101))
c[:,2*ind+1] = a[:,ind]
c1 = np.zeros((1,99))
c1[:,2*ind] = a[:,ind]
np.testing.assert_almost_equal(b, b2)
np.testing.assert_almost_equal(b1, c1)
np.testing.assert_almost_equal(b2, c)
np.testing.assert_almost_equal(b3, b2.T)
np.testing.assert_almost_equal(b4, c1.T)
np.testing.assert_almost_equal(b5, c.T)
def test_type5(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = ['symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1',
'ppd','per']
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_R,Hi_R] = pyyawt.wfilters(wname,'r')
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
for N in np.arange(len(dwtModes)-1):
r = pyyawt.idwt(cA,cD,wname,50,'mode',dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA,cD,wname,50,'mode','per')
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
def test_type6(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = ['symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1',
'ppd','per']
[cA,cD] = pyyawt.dwt(x1,wname)
Lo_R = np.random.rand(14)
Hi_R = np.random.rand(14)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R.flatten())
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R.flatten())
x0 = pyyawt.wkeep(a0+d0,50)
for N in np.arange(len(dwtModes)-1):
r = pyyawt.idwt(cA,cD,Lo_R,Hi_R,50,'mode',dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA,cD,Lo_R,Hi_R,50,'mode','per')
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
def test_type5(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = [
'symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1', 'ppd', 'per'
]
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_R, Hi_R] = pyyawt.wfilters(wname, 'r')
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
for N in np.arange(len(dwtModes) - 1):
r = pyyawt.idwt(cA, cD, wname, 50, 'mode', dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA, cD, wname, 50, 'mode', 'per')
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
def test_type6(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = [
'symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1', 'ppd', 'per'
]
[cA, cD] = pyyawt.dwt(x1, wname)
Lo_R = np.random.rand(14)
Hi_R = np.random.rand(14)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R.flatten())
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R.flatten())
x0 = pyyawt.wkeep(a0 + d0, 50)
for N in np.arange(len(dwtModes) - 1):
r = pyyawt.idwt(cA, cD, Lo_R, Hi_R, 50, 'mode', dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA, cD, Lo_R, Hi_R, 50, 'mode', 'per')
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
def test_type2(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "bior3.9"
[cA,cD] = pyyawt.dwt(x1,wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x2,wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(s1,wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
def test_coif(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
for N in np.arange(1, 6):
wname = "coif" + str(N)
[cA, cD] = pyyawt.dwt(x1, wname)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
def test_haar(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = 'haar'
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
def test_type2(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "bior3.9"
[cA, cD] = pyyawt.dwt(x1, wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x2, wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(s1, wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
def test_bior(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wnames = [
'bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8'
]
for N in np.arange(1, 13):
wname = wnames[N]
[cA, cD] = pyyawt.dwt(x1, wname)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
def test_haar(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = 'haar'
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
def test_bior(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wnames = ['bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8']
for N in np.arange(1,13):
wname = wnames[N]
[cA,cD] = pyyawt.dwt(x1,wname)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
def test_coif(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
for N in np.arange(1,6):
wname = "coif" + str(N)
[cA,cD] = pyyawt.dwt(x1,wname)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
def test_type3(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "sym8"
[cA, cD] = pyyawt.dwt(x1, wname)
r = pyyawt.idwt(cA, cD, wname, 50)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x2, wname)
r = pyyawt.idwt(cA, cD, wname, 50)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(s1, wname)
r = pyyawt.idwt(cA, cD, wname, 50)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
Lo_R = np.random.randn(50)
Hi_R = np.random.randn(50)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten(), 50)
np.testing.assert_almost_equal(r, x0)
def test_type3(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "sym8"
[cA,cD] = pyyawt.dwt(x1,wname)
r = pyyawt.idwt(cA,cD,wname,50)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x2,wname)
r = pyyawt.idwt(cA,cD,wname,50)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(s1,wname)
r = pyyawt.idwt(cA,cD,wname,50)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
Lo_R = np.random.randn(50)
Hi_R = np.random.randn(50)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten(),50)
np.testing.assert_almost_equal(r, x0)
def test_matrix(self):
a = np.random.randn(50, 51)
b = pyyawt.dyadup(a)
b1 = pyyawt.dyadup(a, 0)
b2 = pyyawt.dyadup(a, 1)
b3 = pyyawt.dyadup(a, 'r')
b4 = pyyawt.dyadup(a, 'c')
b5 = pyyawt.dyadup(a, 'm')
b6 = pyyawt.dyadup(a, 0, 'r')
b7 = pyyawt.dyadup(a, 0, 'c')
b8 = pyyawt.dyadup(a, 0, 'm')
b9 = pyyawt.dyadup(a, 1, 'r')
b10 = pyyawt.dyadup(a, 1, 'c')
b11 = pyyawt.dyadup(a, 1, 'm')
ind = np.arange(50)
ind1 = np.arange(51)
c = np.zeros((99, 51))
c[2 * ind, :] = a[ind, :]
c1 = np.zeros((101, 51))
c1[2 * ind + 1, :] = a[ind, :]
c2 = np.zeros((50, 101))
c2[:, 2 * ind1] = a[:, ind1]
c3 = np.zeros((50, 103))
c3[:, 2 * ind1 + 1] = a[:, ind1]
c4 = np.zeros((99, 101))
c4[2 * ind, :][:, 2 * ind1] = a[ind, :][:, ind1]
c5 = np.zeros((101, 103))
c5[2 * ind + 1, :][:, 2 * ind1 + 1] = a[ind, :][:, ind1]
np.testing.assert_almost_equal(b, b10)
np.testing.assert_almost_equal(b, c3)
np.testing.assert_almost_equal(b1, c2)
np.testing.assert_almost_equal(b2, b)
np.testing.assert_almost_equal(b3, c1)
np.testing.assert_almost_equal(b4, b2)
# np.testing.assert_almost_equal(b5, c5)
np.testing.assert_almost_equal(b6, c)
np.testing.assert_almost_equal(b7, c2)
# np.testing.assert_almost_equal(b8, c4)
np.testing.assert_almost_equal(b9, c1)
np.testing.assert_almost_equal(b10, c3)
np.testing.assert_almost_equal(b11, b5)
def test_matrix(self):
a = np.random.randn(50,51)
b = pyyawt.dyadup(a)
b1 = pyyawt.dyadup(a,0)
b2 = pyyawt.dyadup(a,1)
b3 = pyyawt.dyadup(a,'r')
b4 = pyyawt.dyadup(a,'c')
b5 = pyyawt.dyadup(a,'m')
b6 = pyyawt.dyadup(a,0,'r')
b7 = pyyawt.dyadup(a,0,'c')
b8 = pyyawt.dyadup(a,0,'m')
b9 = pyyawt.dyadup(a,1,'r')
b10 = pyyawt.dyadup(a,1,'c')
b11 = pyyawt.dyadup(a,1,'m')
ind = np.arange(50)
ind1 = np.arange(51)
c = np.zeros((99,51))
c[2*ind,:] = a[ind,:]
c1 = np.zeros((101,51))
c1[2*ind+1,:] = a[ind,:]
c2 = np.zeros((50,101))
c2[:,2*ind1] = a[:,ind1]
c3 = np.zeros((50,103))
c3[:,2*ind1+1] = a[:,ind1]
c4 = np.zeros((99,101))
c4[2*ind,:][:,2*ind1] = a[ind,:][:,ind1]
c5 = np.zeros((101,103))
c5[2*ind+1,:][:,2*ind1+1] = a[ind,:][:,ind1]
np.testing.assert_almost_equal(b, b10)
np.testing.assert_almost_equal(b, c3)
np.testing.assert_almost_equal(b1, c2)
np.testing.assert_almost_equal(b2, b)
np.testing.assert_almost_equal(b3, c1)
np.testing.assert_almost_equal(b4, b2)
# np.testing.assert_almost_equal(b5, c5)
np.testing.assert_almost_equal(b6, c)
np.testing.assert_almost_equal(b7, c2)
# np.testing.assert_almost_equal(b8, c4)
np.testing.assert_almost_equal(b9, c1)
np.testing.assert_almost_equal(b10, c3)
np.testing.assert_almost_equal(b11, b5)
