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from numpy.testing import *
import numpy as np
def fft1(x):
L = len(x)
phase = -2j*np.pi*(np.arange(L)/float(L))
phase = np.arange(L).reshape(-1,1) * phase
return np.sum(x*np.exp(phase),axis=1)
class TestFFTShift(TestCase):
def test_fft_n(self):
self.assertRaises(ValueError,np.fft.fft,[1,2,3],0)
class TestFFT1D(TestCase):
def test_basic(self):
rand = np.random.random
x = rand(30) + 1j*rand(30)
assert_array_almost_equal(fft1(x), np.fft.fft(x))
if __name__ == "__main__":
run_module_suite()
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