def test_angle_interpolation(self) -> None: module = AngleInterpolationModule(name_in='angle', data_tag='read') self.pipeline.add_module(module) self.pipeline.run_module('angle') attr = self.pipeline.get_attribute('read', 'PARANG', static=False) assert np.sum(attr) == pytest.approx(900., rel=self.limit, abs=0.) assert attr.shape == (10, )
def test_angle_interpolation(self): angle = AngleInterpolationModule(name_in="angle", data_tag="read") self.pipeline.add_module(angle) self.pipeline.run_module("angle") data = self.pipeline.get_attribute("read", "PARANG", static=False) assert data[5] == 2.7777777777777777 assert np.allclose(np.mean(data), 10.0, rtol=limit, atol=0.) assert data.shape == (40, )
def test_angle_interpolation(self): module = AngleInterpolationModule(name_in='angle', data_tag='read') self.pipeline.add_module(module) self.pipeline.run_module('angle') data = self.pipeline.get_attribute('read', 'PARANG', static=False) assert data[5] == 2.7777777777777777 assert np.allclose(np.mean(data), 10.0, rtol=limit, atol=0.) assert data.shape == (40, )
def test_angle_interpolation(self) -> None: module = AngleInterpolationModule(name_in='angle1', data_tag='read') self.pipeline.add_module(module) self.pipeline.run_module('angle1') data = self.pipeline.get_data('header_read/PARANG') assert np.sum(data) == pytest.approx(900., rel=self.limit, abs=0.) assert data.shape == (10, )
def test_angle_interpolation(self): angle_calc = AngleInterpolationModule(name_in="angle_interpolation", data_tag="im_arr_aligned") self.pipeline.add_module(angle_calc) self.pipeline.run_module("angle_interpolation") data = self.pipeline.get_data("header_im_arr_aligned/PARANG") assert np.allclose(data[5, ], 5.9523809523809526, rtol=limit, atol=0.) assert data.shape == (78, )
def test_angle_interpolation(self) -> None: module = AngleInterpolationModule(name_in='angle', data_tag='science') self.pipeline.add_module(module) self.pipeline.run_module('angle') data = self.pipeline.get_data('header_science/PARANG') assert np.allclose(data[0], 0., rtol=limit, atol=0.) assert np.allclose(data[15], 19.736842105263158, rtol=limit, atol=0.) assert np.allclose(np.mean(data), 50.0, rtol=limit, atol=0.) assert data.shape == (80, )
def test_angle_interpolation(self): angle = AngleInterpolationModule(name_in="angle1", data_tag="read") self.pipeline.add_module(angle) self.pipeline.run_module("angle1") data = self.pipeline.get_data("header_read/PARANG") assert np.allclose(data[0], 0., rtol=limit, atol=0.) assert np.allclose(data[15], 7.777777777777778, rtol=limit, atol=0.) assert np.allclose(np.mean(data), 10.0, rtol=limit, atol=0.) assert data.shape == (40, )
def test_angle_interpolation(self): module = AngleInterpolationModule(name_in='angle1', data_tag='read') self.pipeline.add_module(module) self.pipeline.run_module('angle1') data = self.pipeline.get_data('header_read/PARANG') assert np.allclose(data[0], 0., rtol=limit, atol=0.) assert np.allclose(data[15], 7.777777777777778, rtol=limit, atol=0.) assert np.allclose(np.mean(data), 10.0, rtol=limit, atol=0.) assert data.shape == (40, )
def test_angle_interpolation(self): angle = AngleInterpolationModule(name_in="angle", data_tag="science") self.pipeline.add_module(angle) self.pipeline.run_module("angle") data = self.pipeline.get_data("header_science/PARANG") assert np.allclose(data[0], 0., rtol=limit, atol=0.) assert np.allclose(data[15], 19.736842105263158, rtol=limit, atol=0.) assert np.allclose(np.mean(data), 50.0, rtol=limit, atol=0.) assert data.shape == (80, )
def test_angle_interpolation(self): with h5py.File(self.test_dir + 'PynPoint_database.hdf5', 'a') as hdf_file: hdf_file['config'].attrs['CPU'] = 1 module = AngleInterpolationModule(name_in='angle', data_tag='read') self.pipeline.add_module(module) self.pipeline.run_module('angle') data = self.pipeline.get_data('header_read/PARANG') assert data[5] == 2.7777777777777777 assert np.allclose(np.mean(data), 10.0, rtol=limit, atol=0.) assert data.shape == (40, )
def test_angle_interpolation(self): module = AngleInterpolationModule(name_in='angle', data_tag='binary') self.pipeline.add_module(module) self.pipeline.run_module('angle') data = self.pipeline.get_attribute('binary', 'PARANG', static=False) assert data[5] == 6.578947368421053 assert np.allclose(np.mean(data), 50.0, rtol=limit, atol=0.) assert data.shape == (80, ) parang = self.pipeline.get_attribute('binary', 'PARANG', static=False) self.pipeline.set_attribute('binary', 'PARANG', -1. * parang, static=False) data = self.pipeline.get_attribute('binary', 'PARANG', static=False) assert data[5] == -6.578947368421053 assert np.allclose(np.mean(data), -50.0, rtol=limit, atol=0.) assert data.shape == (80, )
def test_angle_interpolation_mismatch(self): self.pipeline.set_attribute("read", "NDIT", [9, 9, 9, 9], static=False) angle = AngleInterpolationModule(name_in="angle5", data_tag="read") self.pipeline.add_module(angle) with pytest.warns(UserWarning) as warning: self.pipeline.run_module("angle5") assert len(warning) == 1 assert warning[0].message.args[0] == "There is a mismatch between the NDIT and NFRAMES " \ "values. The derotation angles are calculated with " \ "a linear interpolation by using NFRAMES steps. A " \ "frame selection should be applied after the " \ "derotation angles are calculated." data = self.pipeline.get_data("header_read/PARANG") assert np.allclose(data[0], 0., rtol=limit, atol=0.) assert np.allclose(data[15], 7.777777777777778, rtol=limit, atol=0.) assert np.allclose(np.mean(data), 10.0, rtol=limit, atol=0.) assert data.shape == (40, )
def test_angle_interpolation_mismatch(self): self.pipeline.set_attribute('read', 'NDIT', [9, 9, 9, 9], static=False) module = AngleInterpolationModule(name_in='angle5', data_tag='read') self.pipeline.add_module(module) with pytest.warns(UserWarning) as warning: self.pipeline.run_module('angle5') assert len(warning) == 1 assert warning[0].message.args[0] == 'There is a mismatch between the NDIT and NFRAMES ' \ 'values. The parallactic angles are calculated ' \ 'with a linear interpolation by using NFRAMES ' \ 'steps. A frame selection should be applied ' \ 'after the parallactic angles are calculated.' data = self.pipeline.get_data('header_read/PARANG') assert np.allclose(data[0], 0., rtol=limit, atol=0.) assert np.allclose(data[15], 7.777777777777778, rtol=limit, atol=0.) assert np.allclose(np.mean(data), 10.0, rtol=limit, atol=0.) assert data.shape == (40, )
def test_angle_interpolation_mismatch(self) -> None: self.pipeline.set_attribute('read', 'NDIT', [9, 9, 9, 9], static=False) module = AngleInterpolationModule(name_in='angle5', data_tag='read') self.pipeline.add_module(module) with pytest.warns(UserWarning) as warning: self.pipeline.run_module('angle5') warning_0 = 'There is a mismatch between the NDIT and NFRAMES values. The parallactic ' \ 'angles are calculated with a linear interpolation by using NFRAMES steps. ' \ 'A frame selection should be applied after the parallactic angles are ' \ 'calculated.' if len(warning) == 1: assert warning[0].message.args[0] == warning_0 data = self.pipeline.get_data('header_read/PARANG') assert np.sum(data) == pytest.approx(900., rel=self.limit, abs=0.) assert data.shape == (10, )