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https://github.com/invoke-ai/InvokeAI
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Added Defaults to calc_tiles_min_overlap for overlap and round
Added tests for min_overlap and even_split tile gen
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@ -159,7 +159,7 @@ def calc_tiles_even_split(
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def calc_tiles_min_overlap(
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image_height: int, image_width: int, tile_height: int, tile_width: int, min_overlap: int, round_to_8: bool
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image_height: int, image_width: int, tile_height: int, tile_width: int, min_overlap: int = 0, round_to_8: bool = False
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) -> list[Tile]:
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"""Calculate the tile coordinates for a given image shape under a simple tiling scheme with overlaps.
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@ -1,7 +1,12 @@
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import numpy as np
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import pytest
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from invokeai.backend.tiles.tiles import calc_tiles_with_overlap, merge_tiles_with_linear_blending
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from invokeai.backend.tiles.tiles import (
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calc_tiles_even_split,
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calc_tiles_min_overlap,
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calc_tiles_with_overlap,
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merge_tiles_with_linear_blending,
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)
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from invokeai.backend.tiles.utils import TBLR, Tile
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####################################
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@ -85,6 +90,237 @@ def test_calc_tiles_with_overlap_input_validation(
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calc_tiles_with_overlap(image_height, image_width, tile_height, tile_width, overlap)
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####################################
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# Test calc_tiles_min_overlap(...)
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####################################
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def test_calc_tiles_min_overlap_single_tile():
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"""Test calc_tiles_min_overlap() behavior when a single tile covers the image."""
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tiles = calc_tiles_min_overlap(
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image_height=512, image_width=1024, tile_height=512, tile_width=1024, min_overlap=64, round_to_8=False
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)
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expected_tiles = [
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Tile(coords=TBLR(top=0, bottom=512, left=0, right=1024), overlap=TBLR(top=0, bottom=0, left=0, right=0))
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]
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assert tiles == expected_tiles
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def test_calc_tiles_min_overlap_evenly_divisible():
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"""Test calc_tiles_min_overlap() behavior when the image is evenly covered by multiple tiles."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_min_overlap(
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image_height=576, image_width=1600, tile_height=320, tile_width=576, min_overlap=64, round_to_8=False
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)
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expected_tiles = [
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# Row 0
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Tile(coords=TBLR(top=0, bottom=320, left=0, right=576), overlap=TBLR(top=0, bottom=64, left=0, right=64)),
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Tile(coords=TBLR(top=0, bottom=320, left=512, right=1088), overlap=TBLR(top=0, bottom=64, left=64, right=64)),
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Tile(coords=TBLR(top=0, bottom=320, left=1024, right=1600), overlap=TBLR(top=0, bottom=64, left=64, right=0)),
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# Row 1
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Tile(coords=TBLR(top=256, bottom=576, left=0, right=576), overlap=TBLR(top=64, bottom=0, left=0, right=64)),
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Tile(coords=TBLR(top=256, bottom=576, left=512, right=1088), overlap=TBLR(top=64, bottom=0, left=64, right=64)),
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Tile(coords=TBLR(top=256, bottom=576, left=1024, right=1600), overlap=TBLR(top=64, bottom=0, left=64, right=0)),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_min_overlap_not_evenly_divisible():
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"""Test calc_tiles_min_overlap() behavior when the image requires 'uneven' overlaps to achieve proper coverage."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_min_overlap(
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image_height=400, image_width=1200, tile_height=256, tile_width=512, min_overlap=64, round_to_8=False
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)
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expected_tiles = [
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# Row 0
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Tile(coords=TBLR(top=0, bottom=256, left=0, right=512), overlap=TBLR(top=0, bottom=112, left=0, right=168)),
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Tile(coords=TBLR(top=0, bottom=256, left=344, right=856), overlap=TBLR(top=0, bottom=112, left=168, right=168)),
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Tile(coords=TBLR(top=0, bottom=256, left=688, right=1200), overlap=TBLR(top=0, bottom=112, left=168, right=0)),
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# Row 1
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Tile(coords=TBLR(top=144, bottom=400, left=0, right=512), overlap=TBLR(top=112, bottom=0, left=0, right=168)),
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Tile(
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coords=TBLR(top=144, bottom=400, left=448, right=960), overlap=TBLR(top=112, bottom=0, left=168, right=168)
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),
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Tile(
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coords=TBLR(top=144, bottom=400, left=688, right=1200), overlap=TBLR(top=112, bottom=0, left=168, right=0)
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),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_min_overlap_difficult_size():
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"""Test calc_tiles_min_overlap() behavior when the image is a difficult size to spilt evenly and keep div8."""
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# Parameters are a difficult size for other tile gen routines to calculate
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tiles = calc_tiles_min_overlap(
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image_height=1000, image_width=1000, tile_height=256, tile_width=512, min_overlap=64, round_to_8=False
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)
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expected_tiles = [
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# Row 0
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Tile(coords=TBLR(top=0, bottom=512, left=0, right=512), overlap=TBLR(top=0, bottom=268, left=0, right=268)),
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Tile(coords=TBLR(top=0, bottom=512, left=244, right=756), overlap=TBLR(top=0, bottom=268, left=268, right=268)),
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Tile(coords=TBLR(top=0, bottom=512, left=488, right=1000), overlap=TBLR(top=0, bottom=268, left=268, right=0)),
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# Row 1
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Tile(coords=TBLR(top=244, bottom=756, left=0, right=512), overlap=TBLR(top=268, bottom=268, left=0, right=0)),
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Tile(coords=TBLR(top=244, bottom=756, left=244, right=756),overlap=TBLR(top=268, bottom=268, left=268, right=268)),
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Tile(coords=TBLR(top=244, bottom=756, left=488, right=1000), overlap=TBLR(top=268, bottom=268, left=268, right=0)),
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# Row 2
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Tile(coords=TBLR(top=488, bottom=1000, left=0, right=512), overlap=TBLR(top=268, bottom=0, left=0, right=268)),
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Tile(coords=TBLR(top=488, bottom=1000, left=244, right=756),overlap=TBLR(top=268, bottom=0, left=268, right=268)),
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Tile(coords=TBLR(top=488, bottom=1000, left=488, right=1000), overlap=TBLR(top=268, bottom=0, left=268, right=0)),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_min_overlap_difficult_size_div8():
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"""Test calc_tiles_min_overlap() behavior when the image is a difficult size to spilt evenly and keep div8."""
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# Parameters are a difficult size for other tile gen routines to calculate
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tiles = calc_tiles_min_overlap(
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image_height=1000, image_width=1000, tile_height=256, tile_width=512, min_overlap=64, round_to_8=True
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)
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expected_tiles = [
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# Row 0
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Tile(coords=TBLR(top=0, bottom=512, left=0, right=560), overlap=TBLR(top=0, bottom=272, left=0, right=272)),
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Tile(coords=TBLR(top=0, bottom=512, left=240, right=752), overlap=TBLR(top=0, bottom=272, left=272, right=264)),
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Tile(coords=TBLR(top=0, bottom=512, left=488, right=1000), overlap=TBLR(top=0, bottom=272, left=264, right=0)),
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# Row 1
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Tile(coords=TBLR(top=240, bottom=752, left=0, right=512), overlap=TBLR(top=272, bottom=264, left=0, right=272)),
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Tile(coords=TBLR(top=240, bottom=752, left=240, right=752),overlap=TBLR(top=272, bottom=264, left=272, right=264)),
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Tile(coords=TBLR(top=240, bottom=752, left=488, right=1000), overlap=TBLR(top=272, bottom=264, left=264, right=0)),
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# Row 2
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Tile(coords=TBLR(top=488, bottom=1000, left=0, right=512), overlap=TBLR(top=264, bottom=0, left=0, right=272)),
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Tile(coords=TBLR(top=488, bottom=1000, left=240, right=752),overlap=TBLR(top=264, bottom=0, left=272, right=264)),
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Tile(coords=TBLR(top=488, bottom=1000, left=488, right=1000), overlap=TBLR(top=264, bottom=0, left=264, right=0)),
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]
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assert tiles == expected_tiles
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@pytest.mark.parametrize(
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["image_height", "image_width", "tile_height", "tile_width", "overlap", "raises"],
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[
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(128, 128, 128, 128, 127, False), # OK
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(128, 128, 128, 128, 0, False), # OK
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(128, 128, 64, 64, 0, False), # OK
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(128, 128, 129, 128, 0, True), # tile_height exceeds image_height.
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(128, 128, 128, 129, 0, True), # tile_width exceeds image_width.
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(128, 128, 64, 128, 64, True), # overlap equals tile_height.
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(128, 128, 128, 64, 64, True), # overlap equals tile_width.
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],
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)
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def test_calc_tiles_min_overlap_input_validation(
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image_height: int, image_width: int, tile_height: int, tile_width: int, min_overlap: int, round_to_8: bool , raises: bool
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):
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"""Test that calc_tiles_with_overlap() raises an exception if the inputs are invalid."""
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if raises:
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with pytest.raises(AssertionError):
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calc_tiles_min_overlap(image_height, image_width, tile_height, tile_width, min_overlap, round_to_8)
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else:
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calc_tiles_min_overlap(image_height, image_width, tile_height, tile_width, min_overlap, round_to_8)
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####################################
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# Test calc_tiles_even_split(...)
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####################################
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def test_calc_tiles_even_split_single_tile():
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"""Test calc_tiles_even_split() behavior when a single tile covers the image."""
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tiles = calc_tiles_even_split(image_height=512, image_width=1024, num_tiles_x=1, num_tiles_y=1, overlap=0.25)
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expected_tiles = [
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Tile(coords=TBLR(top=0, bottom=512, left=0, right=1024), overlap=TBLR(top=0, bottom=0, left=0, right=0))
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]
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assert tiles == expected_tiles
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def test_calc_tiles_even_split_evenly_divisible():
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"""Test calc_tiles_even_split() behavior when the image is evenly covered by multiple tiles."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_even_split(image_height=576, image_width=1600, num_tiles_x=3, num_tiles_y=2, overlap=0.25)
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expected_tiles = [
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# Row 0
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Tile(coords=TBLR(top=0, bottom=320, left=0, right=624), overlap=TBLR(top=0, bottom=72, left=0, right=136)),
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Tile(coords=TBLR(top=0, bottom=320, left=488, right=1112), overlap=TBLR(top=0, bottom=72, left=136, right=136)),
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Tile(coords=TBLR(top=0, bottom=320, left=976, right=1600), overlap=TBLR(top=0, bottom=72, left=136, right=0)),
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# Row 1
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Tile(coords=TBLR(top=248, bottom=576, left=0, right=624), overlap=TBLR(top=72, bottom=0, left=0, right=136)),
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Tile(
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coords=TBLR(top=248, bottom=576, left=488, right=1112), overlap=TBLR(top=72, bottom=0, left=136, right=136)
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),
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Tile(coords=TBLR(top=248, bottom=576, left=976, right=1600), overlap=TBLR(top=72, bottom=0, left=136, right=0)),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_even_split_not_evenly_divisible():
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"""Test calc_tiles_even_split() behavior when the image requires 'uneven' overlaps to achieve proper coverage."""
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# Parameters mimic roughly the same output as the original tile generations of the same test name
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tiles = calc_tiles_even_split(image_height=400, image_width=1200, num_tiles_x=3, num_tiles_y=2, overlap=0.25)
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expected_tiles = [
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# Row 0
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Tile(coords=TBLR(top=0, bottom=224, left=0, right=464), overlap=TBLR(top=0, bottom=56, left=0, right=104)),
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Tile(coords=TBLR(top=0, bottom=224, left=360, right=824), overlap=TBLR(top=0, bottom=56, left=104, right=104)),
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Tile(coords=TBLR(top=0, bottom=224, left=720, right=1200), overlap=TBLR(top=0, bottom=56, left=104, right=0)),
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# Row 1
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Tile(coords=TBLR(top=168, bottom=400, left=0, right=464), overlap=TBLR(top=56, bottom=0, left=0, right=104)),
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Tile(
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coords=TBLR(top=168, bottom=400, left=360, right=824), overlap=TBLR(top=56, bottom=0, left=104, right=104)
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),
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Tile(coords=TBLR(top=168, bottom=400, left=720, right=1200), overlap=TBLR(top=56, bottom=0, left=104, right=0)),
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]
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assert tiles == expected_tiles
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def test_calc_tiles_even_split_difficult_size():
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"""Test calc_tiles_even_split() behavior when the image is a difficult size to spilt evenly and keep div8."""
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# Parameters are a difficult size for other tile gen routines to calculate
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tiles = calc_tiles_even_split(image_height=1000, image_width=1000, num_tiles_x=2, num_tiles_y=2, overlap=0.25)
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expected_tiles = [
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# Row 0
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Tile(coords=TBLR(top=0, bottom=560, left=0, right=560), overlap=TBLR(top=0, bottom=128, left=0, right=128)),
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Tile(coords=TBLR(top=0, bottom=560, left=432, right=1000), overlap=TBLR(top=0, bottom=128, left=128, right=0)),
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# Row 1
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Tile(coords=TBLR(top=432, bottom=1000, left=0, right=560), overlap=TBLR(top=128, bottom=0, left=0, right=128)),
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Tile(
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coords=TBLR(top=432, bottom=1000, left=432, right=1000), overlap=TBLR(top=128, bottom=0, left=128, right=0)
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),
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]
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assert tiles == expected_tiles
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@pytest.mark.parametrize(
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["image_height", "image_width", "num_tiles_x", "num_tiles_y", "overlap", "raises"],
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[
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(128, 128, 1, 1, 0.25, False), # OK
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(128, 128, 1, 1, 0, False), # OK
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(128, 128, 2, 1, 0, False), # OK
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(127, 127, 1, 1, 0, True), # image size must be drivable by 8
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],
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)
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def test_calc_tiles_even_split_input_validation(
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image_height: int, image_width: int, num_tiles_x: int, num_tiles_y: int, overlap: float, raises: bool
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):
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"""Test that calc_tiles_with_overlap() raises an exception if the inputs are invalid."""
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if raises:
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with pytest.raises(AssertionError):
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calc_tiles_even_split(image_height, image_width, num_tiles_x, num_tiles_y, overlap)
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else:
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calc_tiles_even_split(image_height, image_width, num_tiles_x, num_tiles_y, overlap)
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#############################################
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# Test merge_tiles_with_linear_blending(...)
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#############################################
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