lab3-rc2

main.py

@@ -2,89 +2,175 @@ import matplotlib.pyplot as plt
 import networkx as nx
 import pandas as pd
 
+write_files = False
+
+n = 0
 nn_total_levels = 0
 
-def nn(cluster_no, node_name):
+edge_groups = {}
-    if not nn_total_levels:
-        return str(cluster_no) + '-' + node_name
-    return str(cluster_no % nn_total_levels) + '-' + node_name
 
-def lvl(node_name):
+def y(i):
-    return int(node_name.split('-')[0])
+    # backwards compatibility
+    if i.__class__ == str:
+        i = int(i.split('-')[0])
 
-def join_nodes(g, a, b, target_degree = 6):
+    return i % round(nn_total_levels ** 0.5)
-    if not (g.degree[a] == target_degree or g.degree[b] == target_degree):
+
+def x(i):
+    # backwards compatibility
+    if i.__class__ == str:
+        i = int(i.split('-')[0])
+
+    return i // round(nn_total_levels ** 0.5)
+
+def xy(i):
+    return x(i), y(i)
+
+def i(x, y):
+    return x * round(nn_total_levels ** 0.5) + y
+
+def nn(*args):
+    if len(args) == 2:
+        # legacy_mode
+        cluster_no = args[0]
+        node_name = args[1]
+
+        if not nn_total_levels:
+            return str(cluster_no) + '-' + node_name
+
+        return str(cluster_no % nn_total_levels) + '-' + node_name
+    else:
+        # modern mode
+        x = args[0]
+        y = args[1]
+        l = args[2]
+
+        return str(i(x, y)) + '-' + l
+
+def join_nodes(g, a, b, group = 'default', target_degree = 6):
+    if a == b:
+        return
+
+    if not (g.degree[a] >= target_degree or g.degree[b] >= target_degree):
         g.add_edge(a, b)
 
+        if g.degree[a] > target_degree or g.degree[b] > target_degree:
+            g.remove_edge(a, b)
+            return
+
+        if group not in edge_groups:
+            edge_groups[group] = []
+
+        edge_groups[group].append((a, b))
+
 def start_file(p):
+    if not write_files:
+        return
+
     index = ['i', 'N', 'E', 'S', 'D', 'D_avg', 'T', 'C']
     open(p, 'w').write(','.join(index) + '\n')
 
 def write_file(p, data):
+    if not write_files:
+        return
+
     index = ['i', 'N', 'E', 'S', 'D', 'D_avg', 'T', 'C']
     open(p, 'a').write(','.join([str(data[i]) for i in index]) + '\n')
 
 def build_cluster(n):
     g = nx.Graph()
-    nodes = ['ls', 'lu', 'ld', 'm', 'rd', 'ru', 'rs']
+    nodes = ['ll', 'lu', 'lr', 'ld', 'rl', 'ru', 'rr', 'rd']
-    edges = [('ls', 'lu'), ('ls', 'ld'), ('ld', 'lu'),
+    edges = [('ll', 'lu'), ('lu', 'lr'), ('lr', 'ld'), ('ld', 'll'),
-             ('rs', 'ru'), ('rs', 'rd'), ('rd', 'ru'),
+             ('rl', 'ru'), ('ru', 'rr'), ('rr', 'rd'), ('rd', 'rl'),
-             ('lu', 'm'),  ('ld', 'm'),
+             ('lu', 'ru'), ('ld', 'rd'), ('ll', 'lr'), ('rl', 'rr')]
-             ('ru', 'm'),  ('rd', 'm')]
 
     g.add_nodes_from([nn(n, x) for x in nodes])
     g.add_edges_from([tuple(nn(n, y) for y in x) for x in edges])
 
     return g
 
-def build_network(n):
+def total_clusters(s):
-    throw_dist = 4
+    return 2 ** s - 1
+
+def build_network(l_n):
+    class P():
+        def __init__(self, x, y):
+            self.x = x
+            self.y = y
 
     g = build_cluster(0)
 
-    global nn_total_levels
+    global n, nn_total_levels
-    nn_total_levels = n
+    n = l_n
+    nn_total_levels = l_n ** 2
 
-    for i in range(1, n):
+    for j in range(1, nn_total_levels):
-        c = build_cluster(i)
+        c = build_cluster(j)
         g = nx.union(g, c)
 
-    for i in range(n):
+    for x in range(n):
-        if n >= 2:
+        for y in range(n):
-            if i % 2:
+            # regular grid
-                join_nodes(g, nn(i, 'lu'), nn(i-1, 'lu'), 4)
+            if x < n - 1:
-                join_nodes(g, nn(i, 'rd'), nn(i-1, 'rd'), 4)
+                join_nodes(g, nn(x, y, 'lr'), nn(x + 1, y, 'rl'))
-            else:
+                join_nodes(g, nn(x, y, 'rr'), nn(x + 1, y, 'll'))
-                join_nodes(g, nn(i, 'ld'), nn(i-1, 'ld'), 4)
-                join_nodes(g, nn(i, 'ru'), nn(i-1, 'ru'), 4)
 
-            g.add_edge(nn(i, 'ls'), nn(i-1, 'rs'))
+            if y < n - 1:
-            g.add_edge(nn(i, 'rs'), nn(i-1, 'ls'))
+                join_nodes(g, nn(x, y, 'lu'), nn(x, y + 1, 'rd'))
+                join_nodes(g, nn(x, y, 'ru'), nn(x, y + 1, 'ld'))
 
-        if n > 1 * throw_dist:
+    # corner cross
-            g.add_edge(nn(i, 'rs'), nn(i-(1*throw_dist), 'ls'))
+    join_nodes(g, nn(0, 0, 'lu'), nn(n // 2, n // 2, 'lu'))
-            g.add_edge(nn(i, 'ls'), nn(i-(1*throw_dist), 'rs'))
+    join_nodes(g, nn(n // 2, n // 2, 'ld'), nn(n - 1, n - 1, 'ld'))
 
-        if n > 2 * throw_dist:
+    join_nodes(g, nn(n - 1, 0, 'ru'), nn(n // 2, n // 2, 'ru'))
-            a = nn(i, 'lu')
+    join_nodes(g, nn(n // 2, n // 2, 'rd'), nn(0, n - 1, 'rd'))
-            b = nn(i-(2*throw_dist), 'lu')
+
-            join_nodes(g, a, b)
+    # grid fill
-        if n > 3 * throw_dist:
+    i = 0
-            a = nn(i, 'ld')
+    while True:
-            b = nn(i-(3*throw_dist), 'ld')
+        start = P(n // 2 ** (1 + i) - 1 + n % 2, 0)
-            join_nodes(g, a, b)
+        step = n // 2 ** (1 + i) - 1 + n % 2
-        if n > 4 * throw_dist:
+
-            a = nn(i, 'ru')
+        if step == 0:
-            b = nn(i-(4*throw_dist), 'ru')
+            #print(f'Breaking at {i}')
-            join_nodes(g, a, b)
+            break
-        if n > 5 * throw_dist:
+
-            a = nn(i, 'rd')
+        while True:
-            b = nn(i-(5*throw_dist), 'rd')
+        #for _ in range(2*i+1):
-            join_nodes(g, a, b)
+            y = start.y
-        if n > 7 * throw_dist:
+            while y + step < n:
-            a = nn(i, 'm')
+                #print('---', i, start.x, y, step, y + step, n)
-            b = nn(i-(7*throw_dist), 'm')
+                if step == 0:
-            join_nodes(g, a, b)
+                    exit(1)
+                join_nodes(g, nn(start.x, y, 'll'), nn(start.x - step, y + step, 'll'), f"gf{i}")
+                join_nodes(g, nn(start.x, y, 'rr'), nn(start.x + step, y + step, 'rr'), f"gf{i}")
+                y += step * 2
+                join_nodes(g, nn(start.x, y, 'lr'), nn(start.x - step, y - step, 'lr'), f"gf{i}")
+                join_nodes(g, nn(start.x, y, 'rl'), nn(start.x + step, y - step, 'rl'), f"gf{i}")
+
+            start.x += step * 2
+
+            if start.x + step >= n:
+                break
+
+        i += 1
+        #visualize(g)
+
+    # inline skips
+    for x in range(n):
+        for y in range(n):
+            join_nodes(g, nn(x, y, 'ld'), nn((x + n//2) % n, y, 'ld'), "is1")
+            join_nodes(g, nn(x, y, 'rd'), nn((x + n//3) % n, y, 'rd'), "is2")
+
+            join_nodes(g, nn(x, y, 'lu'), nn(x, (y + n//5) % n, 'lu'), "is3")
+            join_nodes(g, nn(x, y, 'ru'), nn(x, (y + n//6) % n, 'ru'), "is4")
+
+            join_nodes(g, nn(x, y, 'll'), nn((x + round(n//3)) % n, (y + round(n//3)) % n, 'll'), "is5")
+            join_nodes(g, nn(x, y, 'rr'), nn((x + round(n//2)) % n, (y + round(n//2)) % n, 'rr'), "is6")
+
+            join_nodes(g, nn(x, y, 'lr'), nn((x + round(n//5)) % n, (y - round(n//5)) % n, 'lr'), "is7")
+            join_nodes(g, nn(x, y, 'rl'), nn((x + round(n//6)) % n, (y - round(n//6)) % n, 'rl'), "is8")
 
     return g
 
@@ -108,104 +194,94 @@ def analyze(G: nx.Graph) -> dict:
             'C': C,
     }
 
+
 def visualize(g):
-    def draw_edges_between(a, b, lvl_min = 0, lvl_max = False, color = 'black', width = 1.0, debug = False, direct = False):
+    def draw_edge_groups():
+        colors = ["#FF0000", "#00FF00", "#0000FF", "#AAAA00", "#BB00BB", "#1ab278", "#ea44fc", "#c9c204", "#49af5a", "#692c8e"]
+        for i, v in enumerate(edge_groups.values()):
+            nx.draw_networkx_edges(g, exp_pos, edgelist = v, connectionstyle='arc3,rad=0.2', arrows=True, width = 2.0, edge_color = colors[i % len(colors)])
+
+    def draw_edges_between(a, b, x_min = 0, x_max = False, y_min = 0, y_max = False, color = 'black', width = 1.0, debug = False, direct = False, fmode = True, fmask = [1, 1, 1, 1], fsplit = False):
         edgelist = [e for e in g.edges() if all([True if (a in i) or (b in i) else False for i in e])]
+        edgelist_filtered = []
 
-        if debug:
+        for i in edgelist:
-            print(edgelist)
+            pa, pb = i
 
-        if lvl_max.__class__ == bool:
+            constraints = [True] * 4
-            if debug:
-                print("Running 1 branch")
 
-            edgelist = [(pa, pb) for pa, pb in edgelist if not (abs(lvl(pa) - lvl(pb)) < lvl_min or nn_total_levels - abs(lvl(pa) - lvl(pb)) < lvl_min)]
+            if (x_max.__class__ != bool) and (abs(x(pa) - x(pb)) > x_max):
-            '''
+                constraints[1] = False
-            for p in edgelist:
-                if abs(lvl(pa) - lvl(pb)) < lvl_min:
-                    edgelist.remove((pa, pb))
-            '''
-        else:
-            if debug:
-                print(f"Running 2 branch on {edgelist}")
 
-            edgelist = [(pa, pb) for pa, pb in edgelist if not ((abs(lvl(pa) - lvl(pb)) < lvl_min or nn_total_levels - abs(lvl(pa) - lvl(pb)) < lvl_min) or (abs(lvl(pa) - lvl(pb)) > lvl_max and nn_total_levels - abs(lvl(pa) - lvl(pb)) > lvl_max))]
+            if (y_max.__class__ != bool) and (abs(y(pa) - y(pb)) > y_max):
-            '''
+                constraints[3] = False
-            for pa, pb in edgelist:
-                if debug:
-                    print(f"Processing ({pa}, {pb})")
 
-                if abs(lvl(pa) - lvl(pb)) < lvl_min or abs(lvl(pa) - lvl(pb)) > lvl_max:
+            if abs(x(pa) - x(pb)) < x_min:
-                    edgelist.remove((pa, pb))
+                constraints[0] = False
-                    if debug:
-                        print(f'Discarding {pa} <-> {pb} (lvl(pa) == {lvl(pa)}, lvl(pb) == {lvl(pb)})')
-                elif debug:
-                    print(f'Leaving {pa} <-> {pb} (lvl(pa) == {lvl(pa)}, lvl(pb) == {lvl(pb)})')
 
-            for pa, pb in edgelist:
+            if abs(y(pa) - y(pb)) < y_min:
-                if debug:
+                constraints[2] = False
-                    print(f"Processing ({pa}, {pb})")
 
-                if abs(lvl(pa) - lvl(pb)) < lvl_min or abs(lvl(pa) - lvl(pb)) > lvl_max:
+            #filt = [v for k, v in enumerate(constraints) if fmask[k]]
-                    edgelist.remove((pa, pb))
+            if fsplit:
-                    if debug:
+                if any([all(constraints[:2]), all(constraints[2:])]):
-                        print(f'Discarding {pa} <-> {pb} (lvl(pa) == {lvl(pa)}, lvl(pb) == {lvl(pb)})')
+                    edgelist_filtered.append(i)
-                elif debug:
+            else:
-                    print(f'Leaving {pa} <-> {pb} (lvl(pa) == {lvl(pa)}, lvl(pb) == {lvl(pb)})')
+                if all(constraints):
-            '''
+                    edgelist_filtered.append(i)
 
-        if debug:
+            #if fmode:
-            print(edgelist)
+            #    if all(filt):
+            #        edgelist_filtered.append(i)
+            #else:
+            #    if any(filt):
+            #        edgelist_filtered.append(i)
 
         if direct:
-            nx.draw_networkx_edges(g, exp_pos, edgelist = edgelist, width = width, edge_color = color)
+            nx.draw_networkx_edges(g, exp_pos, edgelist = edgelist_filtered, width = width, edge_color = color)
         else:
-            nx.draw_networkx_edges(g, exp_pos, edgelist = edgelist, connectionstyle='arc3,rad=0.2', arrows=True, width = width, edge_color = color)
+            nx.draw_networkx_edges(g, exp_pos, edgelist = edgelist_filtered, connectionstyle='arc3,rad=0.2', arrows=True, width = width, edge_color = color)
 
     pos = {
-        'ls': (-2, 0),
+        'll': (-3, 0),
-        'lu': (-1, 1),
+        'lu': (-2, 1),
-        'ld': (-1, -1),
+        'lr': (-1, 0),
-        'm' : (0, 0),
+        'ld': (-2, -1),
-        'ru': (1, 1),
+        'rl': (1, 0),
-        'rd': (1, -1),
+        'ru': (2, 1),
-        'rs': (2, 0)
+        'rr': (3, 0),
+        'rd': (2, -1)
     }
 
     exp_pos = {}
 
     for i in range(nn_total_levels):
         for j, v in pos.items():
-            exp_pos[nn(i, j)] = (v[0], v[1] * 0.65 + 3 * i)
+            from math import log
+            bx, by = xy(i)
+            exp_pos[nn(i, j)] = (v[0] + bx * 8, v[1] + by * 3)
 
-    nx.draw_networkx_nodes(g, exp_pos, node_size = 600)
+    nx.draw_networkx_nodes(g, exp_pos, node_size = 100)
-    nx.draw_networkx_labels(g, exp_pos, font_size = 8)
+    nx.draw_networkx_labels(g, exp_pos, font_size = 3)
-
-    #nx.draw_networkx_edges(g, exp_pos, edgelist = [e for e in g.edges() if all([True if ('ls' in i) or ('rs' in i) else False for i in e])], connectionstyle='arc3,rad=0.2', arrows=True)
 
     # cluster
-    draw_edges_between('', '', lvl_max = 0, color = '#888888', width = 0.5, direct = True)
+    draw_edges_between('', '', x_max = 0, y_max = 0, color = '#888888', width = 0.5, direct = True)
 
-    # S => 4
+    # regular grid
-    draw_edges_between('ls', 'rs', lvl_max = 1, color = '#33AAAA', width = 2)
+    #draw_edges_between('', '', x_min = 1, x_max = 1, y_min = 1, y_max = 1, color = '#FF0000', width = 2.0, fsplit = True)
 
-    draw_edges_between('lu', 'lu', lvl_max = 1, color = '#AAAA33', width = 1)
+    # anything (debug)
-    draw_edges_between('ru', 'ru', lvl_max = 1, color = '#AAAA33', width = 1)
+    #draw_edges_between('', '', x_min = 1, y_min = 1, color = '#00FF00', width = 2.0, direct = True)
-    draw_edges_between('ld', 'ld', lvl_max = 1, color = '#AAAA33', width = 1)
-    draw_edges_between('rd', 'rd', lvl_max = 1, color = '#AAAA33', width = 1)
 
-    # S => 6
+    draw_edge_groups()
-    draw_edges_between('lu', 'lu', lvl_min = 2, color = '#FF0000', width = 1.5)
-    draw_edges_between('ld', 'ld', lvl_min = 2, color = '#FFFF00', width = 1.5)
-    draw_edges_between('ru', 'ru', lvl_min = 2, color = '#00FF00', width = 1.5)
-    draw_edges_between('rd', 'rd', lvl_min = 2, color = '#00FFFF', width = 1.5)
-    draw_edges_between('ls', 'ls', lvl_min = 2, color = '#0000FF', width = 1.5)
-    draw_edges_between('rs', 'rs', lvl_min = 2, color = '#FF00FF', width = 1.5)
-    draw_edges_between('m' , 'm' , lvl_min = 2, color = '#000000', width = 1.5)
 
     plt.show()
 
 def main():
+    global write_files
+
+    write_files = True
+
     i = 0
 
     start_file('data.csv')
@@ -218,25 +294,12 @@ def main():
         r = analyze(g)
         r.update({"i": i})
 
-        '''
-        if d.__class__ == None.__class__:
-            d = pd.DataFrame(r, index = ['i', 'N', 'E', 'S', 'D', 'D_avg', 'T', 'C'])
-        else:
-            d.add(r)
-        '''
-
         print(r)
         write_file('data.csv', r)
 
-        if g.number_of_nodes() > 1000:
+        if g.number_of_nodes() > 2000:
             break
 
-    #print(r)
-    #nx.draw(g, with_labels = True)
-    #plt.show()
-
-    #d.to_csv('data.csv')
-
 def test():
     g = build_network(15)
     print(analyze(g))
@@ -251,9 +314,10 @@ def test2():
     print(set([v for i, v in g.degree()]))
 
 def test3():
-    g = build_network(3)
+    g = build_network(2)
-    #print(g.adj['0-ls'])
+    print(analyze(g))
     visualize(g)
 
 if __name__=="__main__":
-    test3()
+    #test3()
+    main()