def complex_example():
n = 630
space = fft.complex_workspace(n)
wavetable = fft.complex_wavetable(n)
print(space.get_type())
print(wavetable.get_type())
print(wavetable.get_factors())
data = numx.zeros((630, ), numx.Complex)
data[:11] = 1.0
data[11:] = 1.0
d = data[:]
fft.complex_forward(data, space, wavetable)
def complex_example_simple():
n = 16
data = numx.arange(n) * (2 * numx.pi / n)
data = numx.cos(data) +0j
space = fft.complex_workspace(n)
wavetable = fft.complex_wavetable(n)
print data
#data[:11] = 1.0
#data[11:] = 1.0
tmp = fft.complex_backward(data, space, wavetable)
print "tmp", tmp
def complex_example():
n = 630
space = fft.complex_workspace(n)
wavetable = fft.complex_wavetable(n)
print space.get_type()
print wavetable.get_type()
print wavetable.get_factors()
data = numx.zeros((630,), numx.Complex)
data[:11] = 1.0
data[11:] = 1.0
d = data[:]
fft.complex_forward(data, space, wavetable)
def complex_example_simple():
n = 16
data = numx.arange(n) * (2 * numx.pi / n)
data = numx.cos(data) + 0j
space = fft.complex_workspace(n)
wavetable = fft.complex_wavetable(n)
print(data)
#data[:11] = 1.0
#data[11:] = 1.0
pygsl.init.set_debug_level(0)
tmp = fft.complex_backward(data, space, wavetable)
print("tmp", tmp)
