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)
