def test_image_reduction():
"""
Test image reduction when the following parameters are used:
roi = (3, 3, 5, 5) and bad_pixels = [(0, 1), (4, 4), (7, 8)];
roi = (0, 0, 20, 20);
bad_pixels = [(1, -1), (-1, 1)].
"""
# generate simulation image data
img = np.arange(100).reshape(10, 10)
# set up roi and bad_pixels
roi_0 = (3, 3, 5, 5)
roi_1 = (0, 0, 20, 20)
bad_pixels_0 = [(0, 1), (4, 4), (7, 8)]
bad_pixels_1 = [(1, -1), (-1, 1)]
# Expected results
xsum = [265, 226, 275, 280, 285]
ysum = [175, 181, 275, 325, 375]
xsum_bp = [450, 369, 470, 480, 490, 500, 510, 520, 530, 521]
ysum_bp = [45, 126, 245, 345, 445, 545, 645, 745, 845, 854]
xsum_roi = [450, 460, 470, 480, 490, 500, 510, 520, 530, 540]
ysum_roi = [45, 145, 245, 345, 445, 545, 645, 745, 845, 945]
# call image reduction
xline, yline = dpc.image_reduction(img, roi_0, bad_pixels_0)
xline_bp, yline_bp = dpc.image_reduction(img, bad_pixels=bad_pixels_1)
xline_roi, yline_roi = dpc.image_reduction(img, roi=roi_1)
assert_array_equal(xline, xsum)
assert_array_equal(yline, ysum)
assert_array_equal(xline_bp, xsum_bp)
assert_array_equal(yline_bp, ysum_bp)
assert_array_equal(xline_roi, xsum_roi)
assert_array_equal(yline_roi, ysum_roi)
def test_image_reduction():
"""
Test image reduction when the following parameters are used:
roi = (3, 3, 5, 5) and bad_pixels = [(0, 1), (4, 4), (7, 8)];
roi = (0, 0, 20, 20);
bad_pixels = [(1, -1), (-1, 1)].
"""
# generate simulation image data
img = np.arange(100).reshape(10, 10)
# set up roi and bad_pixels
roi_0 = (3, 3, 5, 5)
roi_1 = (0, 0, 20, 20)
bad_pixels_0 = [(0, 1), (4, 4), (7, 8)]
bad_pixels_1 = [(1, -1), (-1, 1)]
# Expected results
xsum = [265, 226, 275, 280, 285]
ysum = [175, 181, 275, 325, 375]
xsum_bp = [450, 369, 470, 480, 490, 500, 510, 520, 530, 521]
ysum_bp = [45, 126, 245, 345, 445, 545, 645, 745, 845, 854]
xsum_roi = [450, 460, 470, 480, 490, 500, 510, 520, 530, 540]
ysum_roi = [45, 145, 245, 345, 445, 545, 645, 745, 845, 945]
# call image reduction
xline, yline = dpc.image_reduction(img, roi_0, bad_pixels_0)
xline_bp, yline_bp = dpc.image_reduction(img, bad_pixels=bad_pixels_1)
xline_roi, yline_roi = dpc.image_reduction(img, roi=roi_1)
assert_array_equal(xline, xsum)
assert_array_equal(yline, ysum)
assert_array_equal(xline_bp, xsum_bp)
assert_array_equal(yline_bp, ysum_bp)
assert_array_equal(xline_roi, xsum_roi)
assert_array_equal(yline_roi, ysum_roi)
def test_image_reduction_default():
"""
Test image reduction when default parameters (roi and bad_pixels) are used.
"""
# Generate simulation image data
img = np.arange(100).reshape(10, 10)
# Expected results
xsum = [450, 460, 470, 480, 490, 500, 510, 520, 530, 540]
ysum = [45, 145, 245, 345, 445, 545, 645, 745, 845, 945]
# call image reduction
xline, yline = dpc.image_reduction(img)
assert_array_equal(xline, xsum)
assert_array_equal(yline, ysum)
def test_image_reduction_default():
"""
Test image reduction when default parameters (roi and bad_pixels) are used.
"""
# Generate simulation image data
img = np.arange(100).reshape(10, 10)
# Expected results
xsum = [450, 460, 470, 480, 490, 500, 510, 520, 530, 540]
ysum = [45, 145, 245, 345, 445, 545, 645, 745, 845, 945]
# call image reduction
xline, yline = dpc.image_reduction(img)
assert_array_equal(xline, xsum)
assert_array_equal(yline, ysum)