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import numpy as np
import pytest
from numpy.testing import assert_almost_equal, assert_equal
from drizzle.tests.helpers import wcs_from_file
from drizzle.utils import (
_estimate_pixel_scale,
calc_pixmap,
decode_context,
estimate_pixel_scale_ratio,
)
def test_map_rectangular():
"""
Make sure the initial index array has correct values
"""
naxis1 = 1000
naxis2 = 10
pixmap = np.indices((naxis1, naxis2), dtype='float32')
pixmap = pixmap.transpose()
assert_equal(pixmap[5, 500], (500, 5))
@pytest.mark.parametrize(
"wcs_type", ["fits", "gwcs"]
)
def test_map_to_self(wcs_type):
"""
Map a pixel array to itself. Should return the same array.
"""
input_wcs = wcs_from_file("j8bt06nyq_sip_flt.fits", ext=1, wcs_type=wcs_type)
shape = input_wcs.array_shape
ok_pixmap = np.indices(shape, dtype='float64')
ok_pixmap = ok_pixmap.transpose()
pixmap = calc_pixmap(input_wcs, input_wcs)
# Got x-y transpose right
assert_equal(pixmap.shape, ok_pixmap.shape)
# Mapping an array to itself
assert_almost_equal(pixmap, ok_pixmap, decimal=5)
# user-provided shape
pixmap = calc_pixmap(input_wcs, input_wcs, (12, 34))
assert_equal(pixmap.shape, (12, 34, 2))
# Check that an exception is raised for WCS without pixel_shape and
# bounding_box:
input_wcs.pixel_shape = None
input_wcs.bounding_box = None
with pytest.raises(ValueError):
calc_pixmap(input_wcs, input_wcs)
# user-provided shape when array_shape is not set:
pixmap = calc_pixmap(input_wcs, input_wcs, (12, 34))
assert_equal(pixmap.shape, (12, 34, 2))
# from bounding box:
input_wcs.bounding_box = ((5.3, 33.5), (2.8, 11.5))
pixmap = calc_pixmap(input_wcs, input_wcs)
assert_equal(pixmap.shape, (12, 34, 2))
# from bounding box and pixel_shape (the later takes precedence):
input_wcs.array_shape = shape
pixmap = calc_pixmap(input_wcs, input_wcs)
assert_equal(pixmap.shape, ok_pixmap.shape)
@pytest.mark.parametrize(
"wcs_type", ["fits", "gwcs"]
)
def test_translated_map(wcs_type):
"""
Map a pixel array to at translated array.
"""
first_wcs = wcs_from_file(
"j8bt06nyq_sip_flt.fits",
ext=1,
wcs_type=wcs_type
)
second_wcs = wcs_from_file(
"j8bt06nyq_sip_flt.fits",
ext=1,
crpix_shift=(-2, -2), # shift loaded WCS by adding this to CRPIX
wcs_type=wcs_type
)
ok_pixmap = np.indices(first_wcs.array_shape, dtype='float32') - 2.0
ok_pixmap = ok_pixmap.transpose()
pixmap = calc_pixmap(first_wcs, second_wcs)
# Got x-y transpose right
assert_equal(pixmap.shape, ok_pixmap.shape)
# Mapping an array to a translated array
assert_almost_equal(pixmap[2:, 2:], ok_pixmap[2:, 2:], decimal=5)
def test_disable_gwcs_bbox():
"""
Map a pixel array to a translated version ofitself.
"""
first_wcs = wcs_from_file(
"j8bt06nyq_sip_flt.fits",
ext=1,
wcs_type="gwcs"
)
second_wcs = wcs_from_file(
"j8bt06nyq_sip_flt.fits",
ext=1,
crpix_shift=(-2, -2), # shift loaded WCS by adding this to CRPIX
wcs_type="gwcs"
)
ok_pixmap = np.indices(first_wcs.array_shape, dtype='float64') - 2.0
ok_pixmap = ok_pixmap.transpose()
# Mapping an array to a translated array
# disable both bounding boxes:
pixmap = calc_pixmap(first_wcs, second_wcs, disable_bbox="both")
assert_almost_equal(pixmap[2:, 2:], ok_pixmap[2:, 2:], decimal=5)
assert np.all(np.isfinite(pixmap[:2, :2]))
assert np.all(np.isfinite(pixmap[-2:, -2:]))
# check bbox was restored
assert first_wcs.bounding_box is not None
assert second_wcs.bounding_box is not None
# disable "from" bounding box:
pixmap = calc_pixmap(second_wcs, first_wcs, disable_bbox="from")
assert_almost_equal(pixmap[:-2, :-2], ok_pixmap[:-2, :-2] + 4.0, decimal=5)
assert np.all(np.logical_not(np.isfinite(pixmap[-2:, -2:])))
# check bbox was restored
assert first_wcs.bounding_box is not None
assert second_wcs.bounding_box is not None
# disable "to" bounding boxes:
pixmap = calc_pixmap(first_wcs, second_wcs, disable_bbox="to")
assert_almost_equal(pixmap[2:, 2:], ok_pixmap[2:, 2:], decimal=5)
assert np.all(np.isfinite(pixmap[:2, :2]))
assert np.all(pixmap[:2, :2] < 0.0)
assert np.all(np.isfinite(pixmap[-2:, -2:]))
# check bbox was restored
assert first_wcs.bounding_box is not None
assert second_wcs.bounding_box is not None
# enable all bounding boxes:
pixmap = calc_pixmap(first_wcs, second_wcs, disable_bbox="none")
assert_almost_equal(pixmap[2:, 2:], ok_pixmap[2:, 2:], decimal=5)
assert np.all(np.logical_not(np.isfinite(pixmap[:2, :2])))
# check bbox was restored
assert first_wcs.bounding_box is not None
assert second_wcs.bounding_box is not None
def test_estimate_pixel_scale_ratio():
w = wcs_from_file("j8bt06nyq_flt.fits", ext=1)
pscale = estimate_pixel_scale_ratio(w, w, w.wcs.crpix, (0, 0))
assert abs(pscale - 0.9999999916964737) < 3.0e-9
def test_estimate_pixel_scale_no_refpix():
# create a WCS without higher order (polynomial) distortions:
w = wcs_from_file("j8bt06nyq_sip_flt.fits", ext=1)
w.sip = None
w.det2im1 = None
w.det2im2 = None
w.cpdis1 = None
w.cpdis2 = None
pixel_shape = w.pixel_shape[:]
ref_pscale = _estimate_pixel_scale(w, w.wcs.crpix)
if hasattr(w, 'bounding_box'):
del w.bounding_box
pscale1 = _estimate_pixel_scale(w, None)
assert np.allclose(ref_pscale, pscale1, atol=0.0, rtol=1.0e-8)
w.bounding_box = None
w.pixel_shape = None
pscale2 = _estimate_pixel_scale(w, None)
assert np.allclose(pscale1, pscale2, atol=0.0, rtol=1.0e-8)
w.pixel_shape = pixel_shape
pscale3 = _estimate_pixel_scale(w, None)
assert np.allclose(pscale1, pscale3, atol=0.0, rtol=1.0e-14)
w.bounding_box = ((-0.5, pixel_shape[0] - 0.5), (-0.5, pixel_shape[1] - 0.5))
pscale4 = _estimate_pixel_scale(w, None)
assert np.allclose(pscale3, pscale4, atol=0.0, rtol=1.0e-8)
def test_decode_context():
ctx = np.array(
[[[0, 0, 0, 0, 0, 0],
[0, 0, 0, 36196864, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 537920000, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0,],
[0, 0, 0, 67125536, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 163856, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0],
[0, 0, 0, 8203, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 32865, 0, 0, 0]]],
dtype=np.int32
)
idx1, idx2 = decode_context(ctx, [3, 2], [1, 4])
assert sorted(idx1) == [9, 12, 14, 19, 21, 25, 37, 40, 46, 58, 64, 65, 67, 77]
assert sorted(idx2) == [9, 20, 29, 36, 47, 49, 64, 69, 70, 79]
# context array must be 3D:
with pytest.raises(ValueError):
decode_context(ctx[0], [3, 2], [1, 4])
# pixel coordinates must be integer:
with pytest.raises(ValueError):
decode_context(ctx, [3.0, 2], [1, 4])
# coordinate lists must be equal in length:
with pytest.raises(ValueError):
decode_context(ctx, [3, 2], [1, 4, 5])
# coordinate lists must be 1D:
with pytest.raises(ValueError):
decode_context(ctx, [[3, 2]], [[1, 4]])
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