def setup_class(self): self.test_dir = os.path.dirname(__file__) + '/' create_star_data(path=self.test_dir + 'star', npix_x=51, npix_y=51, x0=[10., 10., 10., 10.], y0=[10., 10., 10., 10.]) create_fake(path=self.test_dir + 'binary', ndit=[20, 20, 20, 20], nframes=[20, 20, 20, 20], exp_no=[1, 2, 3, 4], npix=(101, 101), fwhm=3., x0=[50, 50, 50, 50], y0=[50, 50, 50, 50], angles=[[0., 25.], [25., 50.], [50., 75.], [75., 100.]], sep=20., contrast=1.) create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + '/' create_star_data(path=self.test_dir + 'flux', npix_x=101, npix_y=101) create_star_data(path=self.test_dir + 'psf', npix_x=15, npix_y=15, x0=[7., 7., 7., 7.], y0=[7., 7., 7., 7.], ndit=1, nframes=1, noise=False) create_fake(path=self.test_dir + 'adi', ndit=[5, 5, 5, 5], nframes=[5, 5, 5, 5], exp_no=[1, 2, 3, 4], npix=(15, 15), fwhm=3., x0=[7., 7., 7., 7.], y0=[7., 7., 7., 7.], angles=[[0., 50.], [50., 100.], [100., 150.], [150., 200.]], sep=5.5, contrast=1.) create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + "/" create_star_data(path=self.test_dir + "limits") create_config(self.test_dir + "PynPoint_config.ini") self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + '/' create_star_data(path=self.test_dir + 'images', ndit=10, nframes=11) create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + '/' create_star_data(path=self.test_dir + 'fits') create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self) -> None: self.limit = 1e-10 self.test_dir = os.path.dirname(__file__) + '/' create_star_data(self.test_dir + 'images') create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self) -> None: self.limit = 1e-10 self.test_dir = os.path.dirname(__file__) + '/' create_fake_data(self.test_dir + 'adi') create_star_data(self.test_dir + 'psf', npix=21, pos_star=10.) create_star_data(self.test_dir + 'ref', npix=21, pos_star=10.) create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + '/' create_star_data(path=self.test_dir+'images', npix_x=20, npix_y=20, x0=[10, 10, 10, 10], y0=[10, 10, 10, 10], parang_start=[0., 25., 50., 75.], parang_end=[25., 50., 75., 100.], exp_no=[1, 2, 3, 4]) create_config(self.test_dir+'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + "/" np.random.seed(1) image_3d = np.random.normal(loc=0, scale=2e-4, size=(4, 10, 10)) image_2d = np.random.normal(loc=0, scale=2e-4, size=(10, 10)) science = np.random.normal(loc=0, scale=2e-4, size=(4, 10, 10)) dark = np.random.normal(loc=0, scale=2e-4, size=(4, 10, 10)) h5f = h5py.File(self.test_dir + "PynPoint_database.hdf5", "w") h5f.create_dataset("image_3d", data=image_3d) h5f.create_dataset("image_2d", data=image_2d) h5f.create_dataset("science", data=science) h5f.create_dataset("dark", data=dark) h5f.close() create_star_data(path=self.test_dir + "images") create_config(self.test_dir + "PynPoint_config.ini") self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + '/' np.random.seed(1) image_3d = np.random.normal(loc=0, scale=2e-4, size=(4, 10, 10)) image_2d = np.random.normal(loc=0, scale=2e-4, size=(1, 10, 10)) science = np.random.normal(loc=0, scale=2e-4, size=(4, 10, 10)) dark = np.random.normal(loc=0, scale=2e-4, size=(4, 10, 10)) with h5py.File(self.test_dir + 'PynPoint_database.hdf5', 'w') as hdf_file: hdf_file.create_dataset('image_3d', data=image_3d) hdf_file.create_dataset('image_2d', data=image_2d) hdf_file.create_dataset('science', data=science) hdf_file.create_dataset('dark', data=dark) create_star_data(path=self.test_dir + 'images') create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + "/" create_star_data(path=self.test_dir+"data1", npix_x=100, npix_y=100, x0=[50, 50, 50, 50], y0=[50, 50, 50, 50], parang_start=[0., 25., 50., 75.], parang_end=[25., 50., 75., 100.], exp_no=[1, 2, 3, 4]) create_star_data(path=self.test_dir+"data2", npix_x=100, npix_y=100, x0=[50, 50, 50, 50], y0=[50, 50, 50, 50], parang_start=[0., 25., 50., 75.], parang_end=[25., 50., 75., 100.], exp_no=[1, 2, 3, 4]) create_star_data(path=self.test_dir+"data3", npix_x=100, npix_y=100, x0=[50, 50, 50, 50], y0=[50, 50, 50, 50], parang_start=[0., 25., 50., 75.], parang_end=[25., 50., 75., 100.], exp_no=[1, 2, 3, 4]) create_config(self.test_dir+"PynPoint_config.ini") self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self) -> None: self.limit = 1e-10 self.test_dir = os.path.dirname(__file__) + '/' np.random.seed(1) images = np.random.normal(loc=0, scale=2e-4, size=(5, 11, 11)) large_data = np.random.normal(loc=0, scale=2e-4, size=(10000, 5, 5)) with h5py.File(self.test_dir + 'PynPoint_database.hdf5', 'w') as hdf_file: hdf_file.create_dataset('images', data=images) hdf_file.create_dataset('large_data', data=large_data) create_star_data(path=self.test_dir + 'images') create_config(self.test_dir + 'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir) self.pipeline.set_attribute('images', 'PIXSCALE', 0.1, static=True) self.pipeline.set_attribute('large_data', 'PIXSCALE', 0.1, static=True)
def setup_class(self) -> None: self.test_dir = os.path.dirname(__file__) + '/' create_star_data(path=self.test_dir+'dither', npix_x=100, npix_y=100, x0=[25, 75, 75, 25], y0=[75, 75, 25, 25], parang_start=[0., 25., 50., 75.], parang_end=[25., 50., 75., 100.], exp_no=[1, 2, 3, 4]) create_star_data(path=self.test_dir+'star_odd', npix_x=101, npix_y=101, x0=[50], y0=[50], parang_start=[0.], parang_end=[25.], exp_no=[1], noise=False) create_star_data(path=self.test_dir+'star_even', npix_x=100, npix_y=100, x0=[49.5], y0=[49.5], parang_start=[0.], parang_end=[25.], exp_no=[1], noise=False) create_waffle_data(path=self.test_dir+'waffle_odd', npix=101, x_spot=[20., 20., 80., 80.], y_spot=[20., 80., 80., 20.]) create_waffle_data(path=self.test_dir+'waffle_even', npix=100, x_spot=[20., 20., 79., 79.], y_spot=[20., 79., 79., 20.]) create_config(self.test_dir+'PynPoint_config.ini') self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def setup_class(self): self.test_dir = os.path.dirname(__file__) + "/" create_star_data(path=self.test_dir+"dither", npix_x=100, npix_y=100, x0=[25, 75, 75, 25], y0=[75, 75, 25, 25], parang_start=[0., 25., 50., 75.], parang_end=[25., 50., 75., 100.], exp_no=[1, 2, 3, 4]) create_star_data(path=self.test_dir+"star_odd", npix_x=101, npix_y=101, x0=[50], y0=[50], parang_start=[0.], parang_end=[25.], exp_no=[1], noise=False) create_star_data(path=self.test_dir+"star_even", npix_x=100, npix_y=100, x0=[49.5], y0=[49.5], parang_start=[0.], parang_end=[25.], exp_no=[1], noise=False) create_waffle_data(path=self.test_dir+"waffle_odd", npix=101, x_waffle=[20., 20., 80., 80.], y_waffle=[20., 80., 80., 20.]) create_waffle_data(path=self.test_dir+"waffle_even", npix=100, x_waffle=[20., 20., 79., 79.], y_waffle=[20., 79., 79., 20.]) create_config(self.test_dir+"PynPoint_config.ini") self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)