def test_find_decluster_below_upcross(self):
x = np.array([
0., 1., 2., 1., 2., 3., 2., 1., 0., -1., -2., -1, -2, -1, 0., 1,
0., -1., -2., -1., 0., 1.
])
calculated = evstats.argrelmax_decluster(x, x_up=0.)
expected = np.array([5, 15.])
np.testing.assert_array_equal(calculated, expected)
def test_find_decluster_below_upcross(self):
x = np.array([0., 1., 2., 1., 2., 3., 2., 1., 0., -1., -2., -1, -2, -1,
0., 1, 0., -1., -2., -1., 0., 1.])
calculated = evstats.argrelmax_decluster(x, x_up=0.)
expected = np.array([5, 15.])
np.testing.assert_array_equal(calculated, expected)
def test_simple_find_none(self):
x = np.array([0.1, 1., 2., 3., 4., 5.])
calculated = evstats.argrelmax_decluster(x)
expected = np.array([5])
np.testing.assert_array_equal(calculated, expected)
def test_simple_find_decluster(self):
x = np.array([0., 1., 2., 1., 2., 3., 2., 1., 0., 2., -1., 1.])
calculated = evstats.argrelmax_decluster(x, x_up=0.)
expected = np.array([5, 9])
np.testing.assert_array_equal(calculated, expected)
def test_simple_find_none(self):
x = np.array([0.1, 1., 2., 3., 4., 5.])
calculated = evstats.argrelmax_decluster(x)
expected = np.array([5])
np.testing.assert_array_equal(calculated, expected)
def test_simple_find_decluster(self):
x = np.array([0., 1., 2., 1., 2., 3., 2., 1., 0., 2., -1., 1.])
calculated = evstats.argrelmax_decluster(x, x_up=0.)
expected = np.array([5, 9])
np.testing.assert_array_equal(calculated, expected)