def test_false_positive_optimize(self) -> None:
module = FalsePositiveModule(position=(10., 2.),
aperture=0.06,
ignore=True,
name_in='false2',
image_in_tag='res_mean',
snr_out_tag='snr_fpf2',
optimize=True,
offset=0.1,
tolerance=0.01)
self.pipeline.add_module(module)
self.pipeline.run_module('false2')
data = self.pipeline.get_data('snr_fpf2')
assert data[0, 1] == pytest.approx(2.0681640624999993,
rel=self.limit,
abs=0.)
assert data[0, 2] == pytest.approx(0.21416845852767494,
rel=self.limit,
abs=0.)
assert data[0, 3] == pytest.approx(179.47800221910444,
rel=self.limit,
abs=0.)
assert data[0, 4] == pytest.approx(24.254455766076823,
rel=self.limit,
abs=0.)
assert data[0, 5] == pytest.approx(2.5776271254831863e-08,
rel=self.limit,
abs=0.)
assert data.shape == (1, 6)
def test_false_positive_optimize(self) -> None:
module = FalsePositiveModule(position=(31., 49.),
aperture=0.1,
ignore=True,
name_in='false2',
image_in_tag='res_mean',
snr_out_tag='snr_fpf2',
optimize=True,
offset=0.1,
tolerance=0.01)
self.pipeline.add_module(module)
self.pipeline.run_module('false2')
data = self.pipeline.get_data('snr_fpf2')
assert np.allclose(data[0, 0], 30.90615234375, rtol=limit, atol=0.)
assert np.allclose(data[0, 1], 49.0861328125, rtol=limit, atol=0.)
assert np.allclose(data[0, 2], 0.5161240306986961, rtol=limit, atol=0.)
assert np.allclose(data[0, 3], 92.74019185433872, rtol=limit, atol=0.)
assert np.allclose(data[0, 4], 7.831022605121996, rtol=limit, atol=0.)
assert np.allclose(data[0, 5],
2.3375921055608217e-06,
rtol=limit,
atol=0.)
def test_false_positive(self):
module = FalsePositiveModule(position=(31., 49.),
aperture=0.1,
ignore=True,
name_in='false',
image_in_tag='res_mean',
snr_out_tag='snr_fpf')
self.pipeline.add_module(module)
self.pipeline.run_module('false')
data = self.pipeline.get_data('snr_fpf')
assert np.allclose(data[0, 0], 31.0, rtol=limit, atol=0.)
assert np.allclose(data[0, 1], 49.0, rtol=limit, atol=0.)
assert np.allclose(data[0, 2], 0.513710034941892, rtol=limit, atol=0.)
assert np.allclose(data[0, 3], 93.01278750418334, rtol=limit, atol=0.)
assert np.allclose(data[0, 4], 7.333740467578795, rtol=limit, atol=0.)
assert np.allclose(data[0, 5], 4.5257622875993775e-06, rtol=limit, atol=0.)
def test_false_positive(self):
false = FalsePositiveModule(position=(31., 49.),
aperture=0.1,
ignore=True,
name_in="false",
image_in_tag="res_mean",
snr_out_tag="snr_fpf")
self.pipeline.add_module(false)
self.pipeline.run_module("false")
data = self.pipeline.get_data("snr_fpf")
assert np.allclose(data[0, 0], 31.0, rtol=limit, atol=0.)
assert np.allclose(data[0, 1], 49.0, rtol=limit, atol=0.)
assert np.allclose(data[0, 2], 0.513710034941892, rtol=limit, atol=0.)
assert np.allclose(data[0, 3], 93.01278750418334, rtol=limit, atol=0.)
assert np.allclose(data[0, 4], 7.633199090133858, rtol=limit, atol=0.)
assert np.allclose(data[0, 5], 3.029521252528866e-06, rtol=limit, atol=0.)
def test_false_positive(self):
false = FalsePositiveModule(position=(31., 49.),
aperture=0.1,
ignore=True,
name_in="false",
image_in_tag="res_mean",
snr_out_tag="snr_fpf")
self.pipeline.add_module(false)
self.pipeline.run_module("false")
data = self.pipeline.get_data("snr_fpf")
assert np.allclose(data[0, 2], 0.5280553948214145, rtol=limit, atol=0.)
assert np.allclose(data[0, 3], 94.39870535499551, rtol=limit, atol=0.)
assert np.allclose(data[0, 4], 8.542166952478182, rtol=limit, atol=0.)
assert np.allclose(data[0, 5],
9.54772666372783e-07,
rtol=limit,
atol=0.)
def test_false_positive(self) -> None:
module = FalsePositiveModule(position=(10., 2.),
aperture=0.06,
ignore=True,
name_in='false1',
image_in_tag='res_mean',
snr_out_tag='snr_fpf1',
optimize=False)
self.pipeline.add_module(module)
self.pipeline.run_module('false1')
data = self.pipeline.get_data('snr_fpf1')
assert data[0, 1] == pytest.approx(2., rel=self.limit, abs=0.)
assert data[0, 2] == pytest.approx(0.216, rel=self.limit, abs=0.)
assert data[0, 3] == pytest.approx(180., rel=self.limit, abs=0.)
assert data[0, 4] == pytest.approx(23.555448981008507,
rel=self.limit,
abs=0.)
assert data[0, 5] == pytest.approx(3.1561982060476726e-08,
rel=self.limit,
abs=0.)
assert data.shape == (1, 6)