2022-05-16 23:48:22 +00:00
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init python:
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whitespace_dict = {}
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2022-09-21 18:22:14 +00:00
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with renpy.open_file("images.whitespace") as fp:
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2022-05-16 23:48:22 +00:00
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line = fp.readline()
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while line:
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path, area = line.strip("\r\n").split(':')
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2022-09-21 20:57:04 +00:00
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whitespace_dict[path] = list(map(int, area.split(',')))
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2022-05-16 23:48:22 +00:00
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line = fp.readline()
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def crop_whitespace(path):
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# Return box from whitespace_dict, or calculate and store it
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2023-06-08 16:41:06 +00:00
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def _find_file_surface(obj):
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if isinstance(obj, str):
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return obj, Image(obj).load()
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elif isinstance(obj, im.Image):
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return obj.filename, obj.load()
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elif isinstance(obj, Transform):
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return _find_file_surface(obj.child)
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2022-05-16 23:48:22 +00:00
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if path in whitespace_dict:
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box = whitespace_dict[path]
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else:
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2023-06-08 16:41:06 +00:00
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path, surf = _find_file_surface(path)
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size = surf.get_size()
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2022-05-16 23:48:22 +00:00
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box = tuple(surf.get_bounding_rect())
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2023-06-08 16:41:06 +00:00
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2023-07-26 23:54:03 +00:00
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if "/clothes/" in path and size[0] != 1010:
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2023-06-08 16:41:06 +00:00
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ratio = size[0] / 1010
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box = tuple(v/ratio for v in box)
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2023-07-26 23:54:03 +00:00
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whitespace_dict[path] = tuple(map(int, box))
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2022-05-16 23:48:22 +00:00
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return box
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def crop_image_zoom(path, xsize, ysize, grayscale=False):
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x, y, w, h = crop_whitespace(path)
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matrix = SaturationMatrix(0) if grayscale else None
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sprite = Image(path)
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return Transform(sprite, crop=(x, y, w, h), xsize=xsize, ysize=ysize, fit="contain", matrixcolor=matrix, subpixel=True)
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