from unittest.mock import patch import numpy as np import pytest from anyimage.common.image import premultiplied_rgba from anyimage.operators import frame_tool as frame def source(rgba, *, bounds=(-1, 1, -1, 1), depth=1, slope=0, active=True): rgba = np.asarray(rgba, dtype=np.float32) height, width = rgba.shape[:2] world = np.eye(4) world[2, 3] = -depth world[2, 0] = slope result = frame.frame_source_projection( np.eye(4), np.eye(4), world, bounds, (1, 1), perspective=False ) result.update( rgba=rgba, pixels=premultiplied_rgba(np.flipud(rgba).ravel(), (width, height)), image_size=(width, height), active=active, name="Active" if active else "Bottom", ) return result def render(sources, size=(1, 1)): return np.flipud(frame.composite_frame_pixels( sources, ((0, 1), (1, 1), (1, 0), (0, 0)), size ).reshape(size[1], size[0], 4)) def test_white_half_coverage_does_not_mix_canvas_black(): image = source([[[1, 1, 1, 1]]], bounds=(-1, 0, -1, 1)) np.testing.assert_allclose(render((image,)), [[[1, 1, 1, 0.5]]]) def test_uncovered_canvas_has_no_rgb_to_reveal_with_mask_add(): from anyimage.common.selection import SelectionMask from anyimage.operators.mask_tool import apply_alpha_mask result = render((source([[[1, 1, 1, 1]]], bounds=(-0.5, 0.5, -0.5, 0.5)),), (8, 8)) uncovered = result[..., 3] == 0 assert np.any(uncovered) np.testing.assert_array_equal(result[uncovered], 0) restored = np.flipud(apply_alpha_mask( result, SelectionMask(np.ones((8, 8)), (0, 0, 8, 8)), "ADD" ).reshape((8, 8, 4))) np.testing.assert_array_equal(restored[..., :3][uncovered], 0) np.testing.assert_array_equal(restored[..., 3], 1) def test_partial_foreground_over_transparent_blue(): bottom = source([[[0, 0, 1, 0]]], depth=2, active=False) top = source([[[1, 0, 0, 0.5]]], bounds=(-1, 0, -1, 1)) np.testing.assert_allclose(render((bottom, top)), [[[0.25, 0, 0.75, 0.25]]]) @pytest.mark.parametrize("alpha", [0, 1e-12, 1e-8, 1e-7]) def test_near_zero_alpha_keeps_covered_rgb(alpha): result = render((source([[[0.2, 0.4, 0.8, alpha]]]),)) np.testing.assert_allclose(result[..., :3], [[[0.2, 0.4, 0.8]]]) np.testing.assert_allclose(result[..., 3], 0 if alpha <= 1e-8 else alpha, atol=1e-15) def test_narrow_source_missed_by_center_is_sampled(): image = source([[[1, 1, 1, 1]]], bounds=(-0.8, -0.7, -1, 1)) np.testing.assert_allclose(render((image,)), [[[1, 1, 1, 0.25]]]) @pytest.mark.parametrize("alpha", [0, 1]) def test_crossing_planes_resolve_per_sample_depth(alpha): first = source([[[1, 0, 0, alpha]]], slope=1) second = source([[[0, 0, 1, alpha]]], slope=-1, active=False) np.testing.assert_allclose(render((first, second)), [[[0.5, 0, 0.5, alpha]]]) def test_aligned_interior_keeps_checkerboard(): rgba = np.ones((8, 8, 4), dtype=np.float32) rgba[..., :3] = (np.indices((8, 8)).sum(axis=0) % 2)[..., None] np.testing.assert_allclose(render((source(rgba),), (8, 8)), rgba) def test_oblique_boundary_matches_reference_and_chunk_sizes(): top = source([[[1, 0, 0, 0.5]]], bounds=(-0.7, 0.7, -0.7, 0.7)) angle = 0.3 world = np.eye(4) world[:2, :2] = ((np.cos(angle), -np.sin(angle)), (np.sin(angle), np.cos(angle))) world[2, 3] = -1 top.update(frame.frame_source_projection( np.eye(4), np.eye(4), world, (-0.7, 0.7, -0.7, 0.7), (1, 1), perspective=False )) bottom = source([[[0, 0, 1, 0]]], depth=2, active=False) sources = (bottom, top) size = 17 reference = np.zeros((size, size, 4), dtype=np.float32) for dy in (0.125, 0.375, 0.625, 0.875): for dx in (0.125, 0.375, 0.625, 0.875): x, y = np.meshgrid((np.arange(size) + dx) / size, 1 - (np.arange(size) + dy) / size) sample, _ = frame._composite_frame_samples(sources, np.stack((x, y), axis=-1)) reference += sample / 16 for rows in (1, 3, 256): with patch.object(frame, "PROJECTIVE_CHUNK_ROWS", rows): np.testing.assert_allclose(render(sources, (size, size)), reference, atol=1e-6) @pytest.mark.parametrize("background", [0, 1]) def test_packed_frame_mask_add_keeps_boundary_color(background): from io import BytesIO import bpy from PIL import Image from anyimage.common.image import create_image_edit_result, image_rgba from anyimage.common.selection import SelectionMask from anyimage.operators.mask_tool import apply_alpha_mask bottom = source([[[background, background, background, 0]]], depth=2, active=False) top = source([[[1, 0, 0, 1]]], bounds=(-1, 0, -1, 1)) rgba = render((bottom, top)) original = bpy.data.images.new("Boundary source", width=1, height=1, alpha=True) result = create_image_edit_result(original, rgba.ravel(), (1, 1)) try: packed = np.asarray(Image.open(BytesIO(result.packed_file.data))) / 255 expected = (np.array([1, 0, 0]) + background) / 2 np.testing.assert_allclose(packed[0, 0, :3], expected, atol=1 / 255) restored = apply_alpha_mask( image_rgba(result), SelectionMask(np.ones((1, 1)), (0, 0, 1, 1)), "ADD" ).reshape(1, 1, 4) np.testing.assert_allclose(restored[0, 0, :3], expected, atol=1 / 255) assert restored[0, 0, 3] == 1 assert result.alpha_mode == "STRAIGHT" finally: bpy.data.images.remove(original) bpy.data.images.remove(result)