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import os
import h5py
import pytest
import numpy as np
from pynpoint.core.pypeline import Pypeline
from pynpoint.readwrite.fitsreading import FitsReadingModule
from pynpoint.processing.resizing import CropImagesModule, ScaleImagesModule, \
AddLinesModule, RemoveLinesModule
from pynpoint.util.tests import create_config, create_star_data, create_ifs_data, remove_test_data
class TestResizing:
def setup_class(self) -> None:
self.limit = 1e-10
self.test_dir = os.path.dirname(__file__) + '/'
create_star_data(self.test_dir+'resize')
create_ifs_data(self.test_dir+'resize_ifs')
create_config(self.test_dir+'PynPoint_config.ini')
self.pipeline = Pypeline(self.test_dir, self.test_dir, self.test_dir)
def teardown_class(self) -> None:
remove_test_data(self.test_dir, folders=['resize', 'resize_ifs'])
def test_read_data(self) -> None:
module = FitsReadingModule(name_in='read',
image_tag='read',
input_dir=self.test_dir+'resize',
overwrite=True,
check=True)
self.pipeline.add_module(module)
self.pipeline.run_module('read')
data = self.pipeline.get_data('read')
assert np.sum(data) == pytest.approx(105.54278879805277, rel=self.limit, abs=0.)
assert data.shape == (10, 11, 11)
module = FitsReadingModule(name_in='read_ifs',
image_tag='read_ifs',
input_dir=self.test_dir+'resize_ifs',
overwrite=True,
check=True,
ifs_data=True)
self.pipeline.add_module(module)
self.pipeline.run_module('read_ifs')
data = self.pipeline.get_data('read_ifs')
assert np.sum(data) == pytest.approx(749.8396528807369, rel=self.limit, abs=0.)
assert data.shape == (3, 10, 21, 21)
def test_crop_images(self) -> None:
module = CropImagesModule(size=0.2,
center=None,
name_in='crop1',
image_in_tag='read',
image_out_tag='crop1')
self.pipeline.add_module(module)
self.pipeline.run_module('crop1')
module = CropImagesModule(size=0.2,
center=(4, 4),
name_in='crop2',
image_in_tag='read',
image_out_tag='crop2')
self.pipeline.add_module(module)
self.pipeline.run_module('crop2')
module = CropImagesModule(size=0.2,
center=(4, 4),
name_in='crop_ifs',
image_in_tag='read_ifs',
image_out_tag='crop_ifs')
self.pipeline.add_module(module)
self.pipeline.run_module('crop_ifs')
data = self.pipeline.get_data('crop1')
assert np.sum(data) == pytest.approx(104.93318507061295, rel=self.limit, abs=0.)
assert data.shape == (10, 9, 9)
data = self.pipeline.get_data('crop2')
assert np.sum(data) == pytest.approx(105.64863165433025, rel=self.limit, abs=0.)
assert data.shape == (10, 9, 9)
data = self.pipeline.get_data('crop_ifs')
assert np.sum(data) == pytest.approx(15.870936600122521, rel=self.limit, abs=0.)
assert data.shape == (3, 10, 9, 9)
def test_scale_images(self) -> None:
module = ScaleImagesModule(name_in='scale1',
image_in_tag='read',
image_out_tag='scale1',
scaling=(2., 2., None),
pixscale=True)
self.pipeline.add_module(module)
self.pipeline.run_module('scale1')
module = ScaleImagesModule(name_in='scale2',
image_in_tag='read',
image_out_tag='scale2',
scaling=(None, None, 2.),
pixscale=True)
self.pipeline.add_module(module)
self.pipeline.run_module('scale2')
data = self.pipeline.get_data('scale1')
assert np.sum(data) == pytest.approx(105.54278879805277, rel=self.limit, abs=0.)
assert data.shape == (10, 22, 22)
data = self.pipeline.get_data('scale2')
assert np.sum(data) == pytest.approx(211.08557759610554, rel=self.limit, abs=0.)
assert data.shape == (10, 11, 11)
attr = self.pipeline.get_attribute('read', 'PIXSCALE', static=True)
assert attr == pytest.approx(0.027, rel=self.limit, abs=0.)
attr = self.pipeline.get_attribute('scale1', 'PIXSCALE', static=True)
assert attr == pytest.approx(0.0135, rel=self.limit, abs=0.)
attr = self.pipeline.get_attribute('scale2', 'PIXSCALE', static=True)
assert attr == pytest.approx(0.027, rel=self.limit, abs=0.)
def test_add_lines(self) -> None:
module = AddLinesModule(lines=(2, 5, 0, 3),
name_in='add',
image_in_tag='read',
image_out_tag='add')
self.pipeline.add_module(module)
self.pipeline.run_module('add')
data = self.pipeline.get_data('add')
assert np.sum(data) == pytest.approx(105.54278879805275, rel=self.limit, abs=0.)
assert data.shape == (10, 14, 18)
def test_remove_lines(self) -> None:
module = RemoveLinesModule(lines=(2, 5, 0, 3),
name_in='remove',
image_in_tag='read',
image_out_tag='remove')
self.pipeline.add_module(module)
self.pipeline.run_module('remove')
data = self.pipeline.get_data('remove')
assert np.sum(data) == pytest.approx(67.49726677462391, rel=self.limit, abs=0.)
assert data.shape == (10, 8, 4)
with h5py.File(self.test_dir+'PynPoint_database.hdf5', 'a') as hdf_file:
hdf_file['config'].attrs['CPU'] = 4
self.pipeline.run_module('remove')
data_multi = self.pipeline.get_data('remove')
assert data == pytest.approx(data_multi, rel=self.limit, abs=0.)
assert data.shape == data_multi.shape
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