def test_signal_edges(self):
"""Test if correct behavior on signal edges."""
x1 = np.array([1., 0, 2])
assert_equal(_argmaxima1d(x1), np.array([]))
x2 = np.array([3., 3, 0, 4, 4])
assert_equal(_argmaxima1d(x2), np.array([]))
x3 = np.array([5., 5, 5, 0, 6, 6, 6])
assert_equal(_argmaxima1d(x3), np.array([]))
def test_signal_edges(self):
"""Test if correct behavior on signal edges."""
x1 = np.array([1., 0, 2])
assert_equal(_argmaxima1d(x1), np.array([]))
x2 = np.array([3., 3, 0, 4, 4])
assert_equal(_argmaxima1d(x2), np.array([]))
x3 = np.array([5., 5, 5, 0, 6, 6, 6])
assert_equal(_argmaxima1d(x3), np.array([]))
def test_simple(self):
"""Test with simple signal."""
x = np.linspace(-10, 10, 50)
x[2::3] += 1
maxima = _argmaxima1d(x)
assert_equal(maxima, np.arange(2, 50, 3))
assert_(maxima.base is None)
def test_simple(self):
"""Test with simple signal."""
x = np.linspace(-10, 10, 50)
x[2::3] += 1
maxima = _argmaxima1d(x)
assert_equal(maxima, np.arange(2, 50, 3))
assert_(maxima.base is None)
def test_exceptions(self):
"""Test input validation and raised exceptions."""
with raises(ValueError, match="wrong number of dimensions"):
_argmaxima1d(np.ones((1, 1)))
with raises(ValueError, match="expected 'float64_t'"):
_argmaxima1d(np.ones(1, dtype=int))
with raises(TypeError, match="list"):
_argmaxima1d([1., 2.])
with raises(TypeError, match="'x' must not be None"):
_argmaxima1d(None)
def test_exceptions(self):
"""Test input validation and raised exceptions."""
with raises(ValueError, match="wrong number of dimensions"):
_argmaxima1d(np.ones((1, 1)))
with raises(ValueError, match="expected 'float64_t'"):
_argmaxima1d(np.ones(1, dtype=int))
with raises(TypeError, match="list"):
_argmaxima1d([1., 2.])
with raises(TypeError, match="'x' must not be None"):
_argmaxima1d(None)
def test_empty(self):
"""Test with empty signal."""
x = np.array([], dtype=np.float64)
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([]))
assert_(maxima.base is None)
def test_flat_maxima(self):
"""Test if flat maxima are detected correctly."""
x = np.array([-1.3, 0, 1, 0, 2, 2, 0, 3, 3, 3, 0, 4, 4, 4, 4, 0, 5])
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([2, 4, 8, 12]))
assert_(maxima.base is None)
def test_signal_edges(self, x):
"""Test if correct behavior on signal edges."""
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([]))
assert_(maxima.base is None)
def test_simple(self):
"""Test with simple signal."""
x = np.linspace(-10, 10, 50)
x[2::3] += 1
assert_equal(_argmaxima1d(x), np.arange(2, 50, 3))
def test_flat_maxima(self):
"""Test if flat maxima are detected correctly."""
x = np.array([-1.3, 0, 1, 0, 2, 2, 0, 3, 3, 3, 0, 4, 4, 4, 4, 0, 5])
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([2, 4, 8, 12]))
assert_(maxima.base is None)
def test_linear(self):
"""Test with linear signal."""
x = np.linspace(0, 100)
assert_equal(_argmaxima1d(x), np.array([]))
def test_linear(self):
"""Test with linear signal."""
x = np.linspace(0, 100)
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([]))
assert_(maxima.base is None)
def test_linear(self):
"""Test with linear signal."""
x = np.linspace(0, 100)
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([]))
assert_(maxima.base is None)
def test_signal_edges(self, x):
"""Test if correct behavior on signal edges."""
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([]))
assert_(maxima.base is None)
def test_empty(self):
"""Test with empty signal."""
x = np.array([], dtype=np.float64)
assert_equal(_argmaxima1d(x), np.array([]))
def test_simple(self):
"""Test with simple signal."""
x = np.linspace(-10, 10, 50)
x[2::3] += 1
assert_equal(_argmaxima1d(x), np.arange(2, 50, 3))
def test_linear(self):
"""Test with linear signal."""
x = np.linspace(0, 100)
assert_equal(_argmaxima1d(x), np.array([]))
def test_empty(self):
"""Test with empty signal."""
x = np.array([], dtype=np.float64)
maxima = _argmaxima1d(x)
assert_equal(maxima, np.array([]))
assert_(maxima.base is None)
def test_empty(self):
"""Test with empty signal."""
x = np.array([], dtype=np.float64)
assert_equal(_argmaxima1d(x), np.array([]))
