diff DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/fft/tests/test_fftpack.py @ 87:2a2c65a20a8b

Add Python libs and headers

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/fft/tests/test_fftpack.py	Wed Feb 25 14:05:22 2015 +0000
@@ -0,0 +1,75 @@
+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()