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tests/cupyx_tests/scipy_tests/signal_tests/test_wavelets.py
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import pytest | ||
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from cupy import testing | ||
import cupyx.scipy.signal # NOQA | ||
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try: | ||
import scipy.signal # NOQA | ||
except ImportError: | ||
pass | ||
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@testing.with_requires('scipy') | ||
class TestWavelets: | ||
@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_qmf(self, xp, scp): | ||
return scp.signal.qmf([1, 1]) | ||
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@pytest.mark.skip(reason='daub is not available on cupyx.scipy.signal') | ||
@pytest.mark.parametrize('p', list(range(1, 15))) | ||
@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_daub(self, p, xp, scp): | ||
return scp.signal.daub(p) | ||
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@pytest.mark.skip(reason='cascade is not available on cupyx.scipy.signal') | ||
@pytest.mark.parametrize('J', list(range(1, 7))) | ||
@pytest.mark.parametrize('i', list(range(1, 5))) | ||
@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_cascade(self, J, i, xp, scp): | ||
lpcoef = scp.signal.daub(i) | ||
x, phi, psi = scp.signal.cascade(lpcoef, J) | ||
return x, phi, psi | ||
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@pytest.mark.parametrize('args,kwargs', [ | ||
((50, 4.1), {'complete': True}), | ||
((50, 4.1), {'complete': False}), | ||
((10, 50), {'complete': False}), | ||
((10, 50), {'complete': True}), | ||
((3,), {'w': 2, 'complete': True}), | ||
((3,), {'w': 2, 'complete': False}), | ||
((10000,), {'s': 4, 'complete': True}), | ||
((10000,), {'s': 4, 'complete': True}), | ||
((10000,), {'s': 4, 'complete': False}), | ||
((10000,), {'s': 5, 'w': 3, 'complete': True}), | ||
((10000,), {'s': 5, 'w': 3, 'complete': False}), | ||
]) | ||
@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_morlet(self, args, kwargs, xp, scp): | ||
return scp.signal.morlet(*args, **kwargs) | ||
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@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_morlet2(self, xp, scp): | ||
return scp.signal.morlet2(1.0, 0.5) | ||
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@pytest.mark.parametrize('length', [5, 11, 15, 51, 101]) | ||
@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_morlet2_length(self, length, xp, scp): | ||
return scp.signal.morlet2(length, 1.0) | ||
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@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_morlet2_points(self, xp, scp): | ||
points = 100 | ||
w = scp.signal.morlet2(points, 2.0) | ||
y = scp.signal.morlet2(3, s=1/(2*xp.pi), w=2) | ||
return w, y | ||
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@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_ricker(self, xp, scp): | ||
return scp.signal.ricker(1.0, 1) | ||
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@pytest.mark.parametrize('length', [5, 11, 15, 51, 101]) | ||
@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_ricker_length(self, length, xp, scp): | ||
return scp.signal.ricker(length, 1.0) | ||
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@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_ricker_points(self, xp, scp): | ||
points = 100 | ||
return scp.signal.ricker(points, 2.0) | ||
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@pytest.mark.parametrize('a', [5, 10, 15, 20, 30]) | ||
@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_ricker_zeros(self, a, xp, scp): | ||
# Check zeros | ||
points = 99 | ||
return scp.signal.ricker(points, a) | ||
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@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_cwt_delta(self, xp, scp): | ||
widths = [1.0] | ||
len_data = 100 | ||
test_data = xp.sin(xp.pi * xp.arange(0, len_data) / 10.0) | ||
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def delta_wavelet(s, t): | ||
return xp.array([1]) | ||
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return scp.signal.cwt(test_data, delta_wavelet, widths) | ||
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@testing.numpy_cupy_allclose(scipy_name="scp") | ||
def test_cwt_ricker(self, xp, scp): | ||
len_data = 100 | ||
test_data = xp.sin(xp.pi * xp.arange(0, len_data) / 10.0) | ||
# Check proper shape on output | ||
widths = [1, 3, 4, 5, 10] | ||
return scp.signal.cwt(test_data, scp.signal.ricker, widths) |