tmp
/
pip-install-ghxuqwgs
/numpy_78e94bf2b6094bf9a1f3d92042f9bf46
/numpy
/fft
/tests
/test_fftpack.py
from __future__ import division, absolute_import, print_function | |
import numpy as np | |
from numpy.testing import TestCase, run_module_suite, assert_array_almost_equal | |
from numpy.testing import assert_array_equal | |
import threading | |
import sys | |
if sys.version_info[0] >= 3: | |
import queue | |
else: | |
import Queue as queue | |
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)) | |
class TestFFTThreadSafe(TestCase): | |
threads = 16 | |
input_shape = (800, 200) | |
def _test_mtsame(self, func, *args): | |
def worker(args, q): | |
q.put(func(*args)) | |
q = queue.Queue() | |
expected = func(*args) | |
# Spin off a bunch of threads to call the same function simultaneously | |
t = [threading.Thread(target=worker, args=(args, q)) | |
for i in range(self.threads)] | |
[x.start() for x in t] | |
[x.join() for x in t] | |
# Make sure all threads returned the correct value | |
for i in range(self.threads): | |
assert_array_equal(q.get(timeout=5), expected, | |
'Function returned wrong value in multithreaded context') | |
def test_fft(self): | |
a = np.ones(self.input_shape) * 1+0j | |
self._test_mtsame(np.fft.fft, a) | |
def test_ifft(self): | |
a = np.ones(self.input_shape) * 1+0j | |
self._test_mtsame(np.fft.ifft, a) | |
def test_rfft(self): | |
a = np.ones(self.input_shape) | |
self._test_mtsame(np.fft.rfft, a) | |
def test_irfft(self): | |
a = np.ones(self.input_shape) * 1+0j | |
self._test_mtsame(np.fft.irfft, a) | |
if __name__ == "__main__": | |
run_module_suite() | |