TST Check FFT for C/Fortran ordered and non contigous arrays

1 files changed, 38 insertions, 0 deletions

diff --git a/numpy/fft/tests/test_pocketfft.py b/numpy/fft/tests/test_pocketfft.py
index 1029294a1..6092c976f 100644
--- a/numpy/fft/tests/test_pocketfft.py
+++ b/numpy/fft/tests/test_pocketfft.py
@@ -166,6 +166,44 @@ class TestFFT1D(object):
         assert_array_almost_equal(np.fft.ifft(np.fft.fft(x)), x)
         assert_array_almost_equal(np.fft.irfft(np.fft.rfft(x)), x)
 
+
+@pytest.mark.parametrize(
+        "dtype",
+        [np.float32, np.float64, np.complex64, np.complex128])
+@pytest.mark.parametrize("order", ["F", 'non-contiguous'])
+@pytest.mark.parametrize(
+        "fft",
+        [np.fft.fft, np.fft.fft2, np.fft.fftn,
+         np.fft.ifft, np.fft.ifft2, np.fft.ifftn])
+def test_fft_with_order(dtype, order, fft):
+    # Check that FFT/IFFT produces identical results for C, Fotran and
+    # non contiguous arrays
+    rng = np.random.RandomState(42)
+    X = rng.rand(8, 7, 13).astype(dtype, copy=False)
+    if order == 'F':
+        Y = np.asfortranarray(X)
+    else:
+        # Make a non contiguous array
+        Y = X[::-1]
+        X = np.ascontiguousarray(X[::-1])
+
+    if fft.__name__.endswith('fft'):
+        for axis in range(3):
+            X_res = fft(X, axis=axis)
+            Y_res = fft(Y, axis=axis)
+            assert_array_almost_equal(X_res, Y_res)
+    elif fft.__name__.endswith(('fft2', 'fftn')):
+        axes = [(0, 1), (1, 2), (0, 2)]
+        if fft.__name__.endswith('fftn'):
+            axes.extend([(0,), (1,), (2,), None])
+        for ax in axes:
+            X_res = fft(X, axes=ax)
+            Y_res = fft(Y, axes=ax)
+            assert_array_almost_equal(X_res, Y_res)
+    else:
+        raise ValueError
+
+
 class TestFFTThreadSafe(object):
     threads = 16
     input_shape = (800, 200)