forked from protonphoton/LJ
Lapin
f3314441d3
the feature implement a paper: https://art-science.org/journal/v7n4/v7n4pp155/artsci-v7n4pp155.pdf there is some generator to test the optimisation in: ./clitools/generators/drawingTests/ Now, all the optimisation will be in ./libs3/plotOptimizer.py in ./libs3/tracer3.py the adding of point is avoid an will be replace by the optimisation from the paper
94 lines
3.0 KiB
Python
94 lines
3.0 KiB
Python
class Node:
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def __init__(self, sid, color):
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self.sid = sid
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self.connected = []
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self.used = False
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self.color = color
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self.is_free = None # may be an other value to initialise
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def add_nodes(self, neighbord):
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not_the_same = neighbord != self.sid
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not_allrady_inside = neighbord not in self.connected
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if neighbord != self.sid and neighbord not in self.connected:
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self.connected.append(neighbord)
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# print the content of the objet to debug with print()
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def __repr__(self):
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is_free = " \t###" if self.is_free else " \t___"
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return is_free + str(self.connected) + "\n"
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#class Graph:
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# nodes = {} # dict of all nodes
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#
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# def __init__(selt):
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# pass
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def list_to_nodes(pl):
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all_nodes = {} # it will contain all nodes
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sid_prev = None
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for p in pl:
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sid = str([int(p[0]), int(p[1])])
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is_colored = p[2] != 0
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if is_colored:
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if sid not in all_nodes:
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all_nodes[sid] = Node(sid, p[2])
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if sid_prev != None:
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all_nodes[sid].add_nodes(sid_prev)
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all_nodes[sid_prev].add_nodes(sid)
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sid_prev = sid if is_colored else None
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return all_nodes
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# recursiv function witch get all connected node for one component and tag them as used
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def get_one_comp(id_elem, nodes):
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comp = []
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comp.append(id_elem)
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nodes[id_elem].used = True
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for id_near in nodes[id_elem].connected:
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if nodes[id_near].used == False:
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comp += get_one_comp(id_near, nodes)
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return comp
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def get_comps(nodes):
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comps = [] #all component
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iter_nodes = iter(nodes)
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nb_elem = len(nodes)
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for id_nodes in iter_nodes:
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if nodes[id_nodes].used == False:
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comps.append(get_one_comp(id_nodes, nodes))
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return comps
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# if ther is a class for the component it would be a good idea to set en atribute about eulerian graph or non eulerian graph
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def set_free_vertices(components, nodes):
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for comp in components:
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all_even_neighbord = True
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for id_node in comp:
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if len(nodes[id_node].connected) % 2 == 0: # test if even neighbord
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nodes[id_node].is_free = False
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else:
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nodes[id_node].is_free = True
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all_even_neighbord = False
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if all_even_neighbord:
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for id_node in comp:
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nodes[id_node].is_free = True
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def optimizer(pl):
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all_nodes = {} # it will contain all nodes
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components = [] # list of connected node as a graph
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# construct dict of connected all_nodes
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all_nodes = list_to_nodes(pl)
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components = get_comps(all_nodes)
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set_free_vertices(components, all_nodes)
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print("\n\nall_nodes:\n", all_nodes)
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print("\n\nconnected_components:\n", components)
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return pl
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if __name__ == '__main__':
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pl = [(355, 262, 0), (355, 262, 16777215), (300, 130, 16777215), (432, 75, 16777215), (487, 207, 16777215), (355, 262, 16777215), (355, 262, 0), (0, 435, 0), (0, 480, 16777215), (0, 300, 16777215), (135, 300, 16777215), (135, 570, 16777215), (135, 570, 16777215), (135, 300, 16777215), (135, 300, 0), (135, 300, 16777215), (225, 480, 16777215), (225, 480, 0), (510, 450, 0), (510, 450, 16777215), (600, 420, 16777215), (600, 300, 16777215), (720, 300, 16777215), (720, 420, 16777215), (810, 450, 16777215), (810, 450, 0)]
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optimizer(pl)
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