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262 lines
6.8 KiB
262 lines
6.8 KiB
#!/usr/bin/python
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#Import required libraries
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import sys
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import os
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from PIL import Image, ImageDraw, ImageShow, ImageFont
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import math
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import psutil
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import time
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from collections import defaultdict
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class Node:
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def __init__(self, rect, colour, index, node_size):
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self.rect = [rect[0], rect[1], rect[0] + node_size, rect[1] + node_size]
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self.pos = ((self.rect[0] + self.rect[2])/2, (self.rect[1] + self.rect[3])/2)
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self.colour = colour
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self.index = index
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def colour(index):
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array = ["red", "blue", "green"]
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return array[index % len(array)]
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class Sxiv(ImageShow.UnixViewer):
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def get_command_ex(self, file, **options):
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return ("bspc rule -a \* -o state=floating focus=off && sxiv",) * 2
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node_size = 10
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m, n = 600, 600
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nodes = []
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num_nodes = 9
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assert(num_nodes % 3 == 0)
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ImageShow.register(Sxiv(), -1)
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font = ImageFont.truetype("Hack-Bold.ttf", node_size*3)
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im = Image.new('RGB', (m, n))
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draw = ImageDraw.Draw(im)
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draw.rectangle([0, 0, m, n], "white")
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x_step = math.floor(m / num_nodes) - 10
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y_step = math.floor(n / num_nodes) - 10
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centerX = math.floor(m/2)
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centerY = math.floor(n/2)
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step = -math.floor(360 / num_nodes)
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radius = math.floor(n/2.5)
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for i in range(0, num_nodes):
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angle = (i * step)
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coordinates = [centerX + radius*math.cos(math.radians(angle)), centerY + radius*math.sin(math.radians(angle))]
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nodes.append(Node(coordinates, colour(i), i, node_size))
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for i,node in enumerate(nodes):
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draw.rectangle(node.rect, fill=node.colour)
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draw.text(node.pos, str(node.index),font=font, fill="black")
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def connect_tuple(d, e):
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connect(d, e[0], e[1])
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def connect(d, v, w):
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d.line([v.pos, w.pos], fill="black", width=math.floor(node_size/4))
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def draw_tree(edges):
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local = im.copy()
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d = ImageDraw.Draw(local)
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for e in edges:
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connect(d, e[0], e[1])
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local.show()
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def sort_edges(edges):
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return sorted(edges, key = lambda x: (x[0].index, x[1].index))
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def to_indices(edge):
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return (edge[0].index, edge[1].index)
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def list_to_indices(edges):
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e = []
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for edge in edges:
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e.append(to_indices(edge))
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return e
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def has_crossing(edge, edges):
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new = to_indices(edge)
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if(new[0] > new[1]):
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new = new[::-1]
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for e in edges:
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exis = to_indices(e)
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if(exis[0] > exis[1]):
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exis = exis[::-1]
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if(exis[0] < new[0] < exis[1] and new[1] > exis[1]):
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return True
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if(exis[0] < new[1] < exis[1] and new[0] < exis[0]):
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return True
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return False
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def dfs(parents, visited, adj, node):
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visited.add(node)
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for adj_node in adj[node]:
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if adj_node not in visited:
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parents[adj_node] = node
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dfs(parents, visited, adj, adj_node)
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elif parents[node] != adj_node:
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return True
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def has_cycle(new_edge, edges):
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adj = defaultdict(set)
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es = [to_indices(e) for e in edges]
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es.append(to_indices(new_edge))
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for x, y in es:
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adj[x].add(y)
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adj[y].add(x)
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visited = set()
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parents = [None] * len(adj)
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if dfs(parents, visited, adj, to_indices(new_edge)[0]):
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return True
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return False
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def construct_neighbourhood(edges, index):
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neighbourhood = []
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i = 0
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#print(list_to_indices(edges))
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for e in edges:
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start = e[0].index
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#print("Testing: " + str(to_indices(e)))
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for new_target in range(start + 1, num_nodes):
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new_edge = (e[0], nodes[new_target])
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if(e == new_edge): continue
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cropped_edges = edges[:]
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cropped_edges.remove(e)
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#print(list_to_indices(cropped_edges))
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#print(to_indices(new_edge))
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#input()
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if(new_target % 3 == e[0].index % 3):
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#print("isn't bicolored")
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continue
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if(has_crossing(new_edge, cropped_edges)):
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#print("has_crossing")
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continue
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if(has_cycle(new_edge, cropped_edges)):
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#print("has_cycle")
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continue
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cropped_edges.append(new_edge)
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#print("Added: " + str(list_to_indices(cropped_edges)))
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neighbourhood.append(sort_edges(cropped_edges))
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if(i == index):
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return neighbourhood
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i = i + 1
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return neighbourhood
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def degree(edges):
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#print("degree...")
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l = len(construct_neighbourhood(edges, sys.maxsize))
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#print("done...")
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return l
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def get_jth_neighbour(edges, index):
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#print("Getting index: " + str(index))
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return construct_neighbourhood(edges, index)[index]
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def is_from_root(edge):
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return abs(edge[0] - edge[1]) == 1
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def get_largest_non_root_edge(edges):
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edges.reverse()
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print(edges)
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for e in edges:
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if not is_from_root(e):
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return e
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return edges
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def get_largest_missing_convex_edge(edges):
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difference = [e for e in root_tuples if e not in edges]
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return difference[-1]
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def get_parent(edges):
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sorted_edges = list_to_indices(sort_edges(edges))
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e = get_largest_non_root_edge(sorted_edges)
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if type(e) is list: return list_to_indices(edges)
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sorted_edges.remove(e)
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sorted_edges.append(get_largest_missing_convex_edge(sorted_edges))
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return sorted_edges
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def get_parent_in_nodes(edges):
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parent = get_parent(edges)
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p = []
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for e in parent:
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p.append((nodes[e[0]], nodes[e[1]]))
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return sort_edges(p)
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root = []
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for i in range(0, num_nodes - 1):
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root.append((nodes[i], nodes[i+1]))
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root_tuples = list_to_indices(root)
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draw_tree(root)
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assert(False)
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v = root
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j = 0
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count = 1
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while True:
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print("Current v: " + str(list_to_indices(v)))
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deg = degree(v)
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print(" degree = " + str(deg))
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while(j != deg):
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j = j + 1
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w = sort_edges(get_jth_neighbour(v, j - 1))
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if(sort_edges(get_parent_in_nodes(w)) == sort_edges(v)):
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print("\t " + str(list_to_indices(w)))
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print("\t parent: " + str(list_to_indices(get_parent_in_nodes(w))))
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v = w
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j = 0
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count = count + 1
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print(" Current w:" + str(list_to_indices(v)))
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print(" degree = " + str(deg) + " j = " + str(j))
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deg = degree(v)
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if(v != root):
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w = v
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v = get_parent_in_nodes(w)
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j = 0
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neighbours = construct_neighbourhood(v, sys.maxsize)
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n = neighbours[j]
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while(n != w):
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j = j + 1
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n = neighbours[j]
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input()
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if(v == root and j == degree(root)):
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print(list_to_indices(v))
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print(j)
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break
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#while True:
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# for tree in construct_neighbourhood(root, sys.maxsize):
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# im1 = im.copy()
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# d = ImageDraw.Draw(im1)
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# draw_tree(d, tree)
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# im1.show()
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#
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# input()
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# #for proc in psutil.process_iter():
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# # if proc.name() == "sxiv":
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# # proc.kill()
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# assert(False)
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