forked from LeenkxTeam/LNXSDK
		
	
		
			
				
	
	
		
			304 lines
		
	
	
		
			10 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			304 lines
		
	
	
		
			10 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import collections
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import itertools
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import operator
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import heapq
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import copy
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from .pack_algo import PackingAlgorithm
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from .geometry import Point as P
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from .geometry import HSegment, Rectangle
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from .waste import WasteManager
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class Skyline(PackingAlgorithm):
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    """ Class implementing Skyline algorithm as described by
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    Jukka Jylanki - A Thousand Ways to Pack the Bin (February 27, 2010)
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    _skyline:  stores all the segments at the top of the skyline.
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    _waste: Handles all wasted sections.
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    """
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    def __init__(self, width, height, rot=True, *args, **kwargs):
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        """
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        _skyline is the list used to store all the skyline segments, each 
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        one is a list with the format [x, y, width] where x is the x
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        coordinate of the left most point of the segment, y the y coordinate
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        of the segment, and width the length of the segment. The initial 
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        segment is allways [0, 0, surface_width]
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        Arguments:
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            width (int, float): 
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            height (int, float):
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            rot (bool): Enable or disable rectangle rotation
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        """
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        self._waste_management = False
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        self._waste = WasteManager(rot=rot)
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        super(Skyline, self).__init__(width, height, rot, merge=False, *args, **kwargs)
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    def _placement_points_generator(self, skyline, width):
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        """Returns a generator for the x coordinates of all the placement
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        points on the skyline for a given rectangle.
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        WARNING: In some cases could be duplicated points, but it is faster
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        to compute them twice than to remove them.
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        Arguments:
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            skyline (list): Skyline HSegment list
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            width (int, float): Rectangle width
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        Returns:
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            generator
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        """ 
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        skyline_r = skyline[-1].right
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        skyline_l = skyline[0].left
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        # Placements using skyline segment left point
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        ppointsl = (s.left for s in skyline if s.left+width <= skyline_r)
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        # Placements using skyline segment right point
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        ppointsr = (s.right-width for s in skyline if s.right-width >= skyline_l)
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        # Merge positions
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        return heapq.merge(ppointsl, ppointsr)
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    def _generate_placements(self, width, height):
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        """
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        Generate a list with 
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        Arguments:
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            skyline (list): SkylineHSegment list
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            width (number):
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        Returns:
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            tuple (Rectangle, fitness):
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                Rectangle: Rectangle in valid position
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                left_skyline: Index for the skyline under the rectangle left edge.
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                right_skyline: Index for the skyline under the rectangle right edte.
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        """
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        skyline = self._skyline
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        points = collections.deque()
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        left_index = right_index = 0 # Left and right side skyline index
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        support_height = skyline[0].top
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        support_index = 0 
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        placements = self._placement_points_generator(skyline, width)
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        for p in placements:
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            # If Rectangle's right side changed segment, find new support
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            if p+width > skyline[right_index].right:
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                for right_index in range(right_index+1, len(skyline)):
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                    if skyline[right_index].top >= support_height:
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                        support_index = right_index
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                        support_height = skyline[right_index].top
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                    if p+width <= skyline[right_index].right:
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                        break
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            # If left side changed segment.
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            if p >= skyline[left_index].right:
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                left_index +=1
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            # Find new support if the previous one was shifted out.
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            if support_index < left_index:
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                support_index = left_index
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                support_height = skyline[left_index].top
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                for i in range(left_index, right_index+1):
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                    if skyline[i].top >= support_height:
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                        support_index = i
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                        support_height = skyline[i].top
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            # Add point if there is enought room at the top
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            if support_height+height <= self.height:
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                points.append((Rectangle(p, support_height, width, height),\
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                    left_index, right_index))
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        return points
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    def _merge_skyline(self, skylineq, segment):
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        """
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        Arguments:
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            skylineq (collections.deque):
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            segment (HSegment):
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        """
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        if len(skylineq) == 0:
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            skylineq.append(segment)
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            return
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        if skylineq[-1].top == segment.top:
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            s = skylineq[-1]
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            skylineq[-1] = HSegment(s.start, s.length+segment.length)
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        else:
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            skylineq.append(segment)
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    def _add_skyline(self, rect):
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        """
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        Arguments:
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            seg (Rectangle):
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        """
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        skylineq = collections.deque([]) # Skyline after adding new one
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        for sky in self._skyline:
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            if sky.right <= rect.left or sky.left >= rect.right:
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                self._merge_skyline(skylineq, sky)
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                continue
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            if sky.left < rect.left and sky.right > rect.left:
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                # Skyline section partially under segment left
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                self._merge_skyline(skylineq, 
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                        HSegment(sky.start, rect.left-sky.left))
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                sky = HSegment(P(rect.left, sky.top), sky.right-rect.left)
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            if sky.left < rect.right:
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                if sky.left == rect.left:
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                    self._merge_skyline(skylineq, 
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                        HSegment(P(rect.left, rect.top), rect.width))
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                # Skyline section partially under segment right
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                if sky.right > rect.right:
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                    self._merge_skyline(skylineq, 
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                        HSegment(P(rect.right, sky.top), sky.right-rect.right))
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                    sky = HSegment(sky.start, rect.right-sky.left)
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            if sky.left >= rect.left and sky.right <= rect.right:
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                # Skyline section fully under segment, account for wasted space
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                if self._waste_management and sky.top < rect.bottom:
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                    self._waste.add_waste(sky.left, sky.top, 
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                        sky.length, rect.bottom - sky.top)
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            else:
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                # Segment
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                self._merge_skyline(skylineq, sky)
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        # Aaaaand ..... Done
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        self._skyline = list(skylineq)
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    def _rect_fitness(self, rect, left_index, right_index):
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        return rect.top
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    def _select_position(self, width, height):
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        """
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        Search for the placement with the bes fitness for the rectangle.
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        Returns:
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            tuple (Rectangle, fitness) - Rectangle placed in the fittest position
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            None - Rectangle couldn't be placed
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        """
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        positions = self._generate_placements(width, height)
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        if self.rot and width != height:
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            positions += self._generate_placements(height, width)
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        if not positions:
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            return None, None
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        return min(((p[0], self._rect_fitness(*p))for p in positions), 
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                key=operator.itemgetter(1))
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    def fitness(self, width, height):
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        """Search for the best fitness 
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        """
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        assert(width > 0 and height >0)
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        if width > max(self.width, self.height) or\
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            height > max(self.height, self.width):
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            return None
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        # If there is room in wasted space, FREE PACKING!!
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        if self._waste_management:
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            if self._waste.fitness(width, height) is not None:
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                return 0
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        # Get best fitness segment, for normal rectangle, and for
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        # rotated rectangle if rotation is enabled.
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        rect, fitness = self._select_position(width, height)
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        return fitness
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    def add_rect(self, width, height, rid=None):
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        """
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        Add new rectangle
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        """
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        assert(width > 0 and height > 0)
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        if width > max(self.width, self.height) or\
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            height > max(self.height, self.width):
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            return None
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        rect = None
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        # If Waste managment is enabled, first try to place the rectangle there
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        if self._waste_management:
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            rect = self._waste.add_rect(width, height, rid)
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        # Get best possible rectangle position
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        if not rect:
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            rect, _ = self._select_position(width, height)
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            if rect:
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                self._add_skyline(rect)
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        if rect is None:
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            return None
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        # Store rectangle, and recalculate skyline
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        rect.rid = rid
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        self.rectangles.append(rect)
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        return rect
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    def reset(self):
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        super(Skyline, self).reset()
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        self._skyline = [HSegment(P(0, 0), self.width)]
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        self._waste.reset()
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class SkylineWMixin(Skyline):
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    """Waste managment mixin"""
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    def __init__(self, width, height, *args, **kwargs):
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        super(SkylineWMixin, self).__init__(width, height, *args, **kwargs)
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        self._waste_management = True
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class SkylineMwf(Skyline):
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    """Implements Min Waste fit heuristic, minimizing the area wasted under the
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    rectangle.
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    """
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    def _rect_fitness(self, rect, left_index, right_index):
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        waste = 0
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        for seg in self._skyline[left_index:right_index+1]:
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            waste +=\
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                (min(rect.right, seg.right)-max(rect.left, seg.left)) *\
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                (rect.bottom-seg.top)
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        return waste
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    def _rect_fitnes2s(self, rect, left_index, right_index):
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        waste = ((min(rect.right, seg.right)-max(rect.left, seg.left)) for seg in self._skyline[left_index:right_index+1])
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        return sum(waste)
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class SkylineMwfl(Skyline):
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    """Implements Min Waste fit with low profile heuritic, minimizing the area
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    wasted below the rectangle, at the same time it tries to keep the height
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    minimal.
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    """ 
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    def _rect_fitness(self, rect, left_index, right_index):
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        waste = 0
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        for seg in self._skyline[left_index:right_index+1]:
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            waste +=\
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                (min(rect.right, seg.right)-max(rect.left, seg.left)) *\
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                (rect.bottom-seg.top)
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        return waste*self.width*self.height+rect.top
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class SkylineBl(Skyline):
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    """Implements Bottom Left heuristic, the best fit option is that which
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    results in which the top side of the rectangle lies at the bottom-most 
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    position.
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    """
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    def _rect_fitness(self, rect, left_index, right_index):
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        return rect.top
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class SkylineBlWm(SkylineBl, SkylineWMixin):
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    pass
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class SkylineMwfWm(SkylineMwf, SkylineWMixin):
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    pass
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class SkylineMwflWm(SkylineMwfl, SkylineWMixin):
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    pass
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