LoafyLemon
c1b04f6ccd
* Refactored DollFace * Refactored DollBody * Refactored DollCum * Refactored DollCloth * Refactored Doll * Refactored clothing item zorders * Refactored implementation of body, face, cum, clothing layers * Refactored function calls * Removed DollLipstick * Added DollMakeup class, allowing adding dynamic clothes tracking face states * Added DollClothDynamic, allowing dynamic clothes tracking other cloth states with bangs support * Added cache to frequently called functions, drastically reducing the overhead * Added hash system, reducing clone redundancy * Added layer modifiers support for all types (face, body, cum, clothes etc.) * Added support for an arbitrary number of equipped multislot clothing items (makeup, tattoos, piercings, etc.) * Simplified initialization for clothing items and dolls * Simplified class function calls * Reduced the number of image creation calls * Added hue support for additional skin layers * Added displayable support to image cropping function * Replaced store cache with built-in functools cache for _list_files function * Refactored all character files * and more...
41 lines
1.4 KiB
Plaintext
41 lines
1.4 KiB
Plaintext
init python:
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whitespace_dict = {}
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with renpy.open_file("images.whitespace") as fp:
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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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whitespace_dict[path] = list(map(int, area.split(',')))
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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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if path in whitespace_dict:
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box = whitespace_dict[path]
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else:
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if isinstance(path, str):
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surf = Image(path).load()
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elif isinstance(path, im.Image):
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surf = path.load()
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elif isinstance(path, Transform):
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surf = path.child.load()
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box = tuple(surf.get_bounding_rect())
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whitespace_dict[path] = box
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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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def get_zoom(image, size):
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if isinstance(image, str):
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image = Image(image)
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r = renpy.render(image, 800, 800, 0, 0)
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x, y = r.get_size()
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xsize, ysize = size
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return min(ysize / y, xsize / x)
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