Changed generated datasets to include more graphs and split them into groups by nodes count and number of edges. Started working on code for experiments using those data.
This commit is contained in:
Bartosz
parent
83c6b3e879
commit
e7626bef27
@ -1,4 +1,5 @@
|
|||||||
import random
|
import random
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
|
||||||
def generate_tree_from_prufer_code(code):
|
def generate_tree_from_prufer_code(code):
|
||||||
@ -37,31 +38,26 @@ def generate_prufers_code(n: int):
|
|||||||
return code
|
return code
|
||||||
|
|
||||||
|
|
||||||
def generate_random_graph(n: int, log=False):
|
def generate_random_graph(n: int, edges_number: int, log=False):
|
||||||
code = generate_prufers_code(n)
|
code = generate_prufers_code(n)
|
||||||
edges = generate_tree_from_prufer_code(code)
|
edges = generate_tree_from_prufer_code(code)
|
||||||
number_of_edges_to_add = random.randint(n//4, int(n/3))
|
edges_dict = {}
|
||||||
if log:
|
for index in range(len(edges)):
|
||||||
print("number of edges to add:", number_of_edges_to_add)
|
edges_dict[(edges[index][0], edges[index][1])] = True
|
||||||
counter = 0
|
while len(edges_dict) < edges_number:
|
||||||
while counter < number_of_edges_to_add:
|
|
||||||
node1 = random.randint(1, n)
|
node1 = random.randint(1, n)
|
||||||
node2 = random.randint(1, n)
|
node2 = random.randint(1, n)
|
||||||
while node1 == node2:
|
while node1 == node2:
|
||||||
node2 = random.randint(1, n)
|
node2 = random.randint(1, n)
|
||||||
if node1 < node2:
|
if node1 < node2:
|
||||||
if [node1, node2] not in edges:
|
edges_dict[(node1, node2)] = True
|
||||||
edges.append([node1, node2])
|
|
||||||
counter += 1
|
|
||||||
else:
|
else:
|
||||||
if [node2, node1] not in edges:
|
if [node2, node1] not in edges:
|
||||||
edges.append([node2, node1])
|
edges_dict[(node2, node1)] = True
|
||||||
counter += 1
|
return edges_dict.keys()
|
||||||
return edges
|
|
||||||
|
|
||||||
|
|
||||||
def write_graph_to_file(graph, filename, path="graphs/"):
|
def write_graph_to_file(graph, filename, path="graphs/"):
|
||||||
print("writing to file")
|
|
||||||
with open(path + filename, 'w') as file:
|
with open(path + filename, 'w') as file:
|
||||||
for edge in graph:
|
for edge in graph:
|
||||||
weight = random.randint(1, 100)
|
weight = random.randint(1, 100)
|
||||||
@ -103,10 +99,17 @@ def read_graph_from_file(filename, path="graphs/"):
|
|||||||
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
if __name__ == '__main__':
|
||||||
n = [100, 500, 1_000, 2_500, 5_000, 10_000, 25_000, 50_000, 100_000, 200_000]
|
n = [200, 500, 1_000, 2_000, 5_000, 10_000, 20_000, 50_000]
|
||||||
for i in range(1, 11):
|
for k in [5]:
|
||||||
print("generating graph:", i, "of", 10, "with", n[i-1], "nodes")
|
group = str(k) + "n"
|
||||||
g = generate_random_graph(n[i-1], log=True)
|
print("generating graph group:", str(k) + "n")
|
||||||
f = "graph" + str(i)
|
for i in range(1, len(n)+1):
|
||||||
write_graph_to_file(g, f)
|
print("generating graphs group:", group, "with", n[i - 1], "nodes and", int(k * n[i - 1]), "edges")
|
||||||
|
p = "graphs/" + group + "/" + str(n[i-1]) + "/"
|
||||||
|
for j in range(1, 51):
|
||||||
|
print("graph:", j, "of", 50)
|
||||||
|
g = generate_random_graph(n[i-1], int(k * n[i - 1]), log=True)
|
||||||
|
f = "graph" + str(j)
|
||||||
|
Path(p).mkdir(parents=True, exist_ok=True)
|
||||||
|
write_graph_to_file(g, f, p)
|
||||||
print()
|
print()
|
||||||
|
|||||||
@ -1,4 +1,5 @@
|
|||||||
import random as rand
|
import random as rand
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
|
||||||
def generate_grid(height: int, width: int, fill_percent: int = 70):
|
def generate_grid(height: int, width: int, fill_percent: int = 70):
|
||||||
@ -155,11 +156,14 @@ def read_grid_graph_from_file(filename, path="grids/"):
|
|||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
n = [(20, 20), (50, 50), (100, 100), (150, 150), (250, 250), (400, 400), (500, 500),
|
n = [(20, 20), (50, 50), (100, 100), (150, 150), (250, 250), (500, 500)]
|
||||||
(600, 600), (750, 750), (1000, 1000)]
|
for i in range(1, len(n)+1):
|
||||||
for i in range(1, 11):
|
p = "grids/" + str(n[i-1][0]) + "x" + str(n[i-1][1]) + "/"
|
||||||
print("generating graph:", i, "of", 10, "with size", n[i-1])
|
print("generating graphs group:", n[i - 1])
|
||||||
f = "grid" + str(i)
|
for j in range(1, 51):
|
||||||
|
f = "grid" + str(j)
|
||||||
|
print(f)
|
||||||
g = generate_grid(n[i-1][0]+2, n[i-1][1]+2)
|
g = generate_grid(n[i-1][0]+2, n[i-1][1]+2)
|
||||||
print("writing to file")
|
Path(p).mkdir(parents=True, exist_ok=True)
|
||||||
write_grid_as_graph_to_file(g, f)
|
write_grid_as_graph_to_file(g, f, p)
|
||||||
|
print()
|
||||||
|
|||||||
@ -1,256 +0,0 @@
|
|||||||
1 24 87
|
|
||||||
24 1 87
|
|
||||||
5 49 52
|
|
||||||
49 5 52
|
|
||||||
7 11 41
|
|
||||||
11 7 41
|
|
||||||
9 90 12
|
|
||||||
90 9 12
|
|
||||||
3 11 51
|
|
||||||
11 3 51
|
|
||||||
14 17 89
|
|
||||||
17 14 89
|
|
||||||
15 73 74
|
|
||||||
73 15 74
|
|
||||||
17 85 89
|
|
||||||
85 17 89
|
|
||||||
18 94 43
|
|
||||||
94 18 43
|
|
||||||
10 19 52
|
|
||||||
19 10 52
|
|
||||||
10 45 88
|
|
||||||
45 10 88
|
|
||||||
20 43 13
|
|
||||||
43 20 13
|
|
||||||
25 41 7
|
|
||||||
41 25 7
|
|
||||||
26 88 16
|
|
||||||
88 26 16
|
|
||||||
30 34 18
|
|
||||||
34 30 18
|
|
||||||
24 32 36
|
|
||||||
32 24 36
|
|
||||||
24 85 83
|
|
||||||
85 24 83
|
|
||||||
35 47 30
|
|
||||||
47 35 30
|
|
||||||
3 37 50
|
|
||||||
37 3 50
|
|
||||||
40 46 84
|
|
||||||
46 40 84
|
|
||||||
6 44 63
|
|
||||||
44 6 63
|
|
||||||
6 16 64
|
|
||||||
16 6 64
|
|
||||||
47 72 15
|
|
||||||
72 47 15
|
|
||||||
51 74 86
|
|
||||||
74 51 86
|
|
||||||
52 85 40
|
|
||||||
85 52 40
|
|
||||||
39 53 74
|
|
||||||
53 39 74
|
|
||||||
21 54 47
|
|
||||||
54 21 47
|
|
||||||
21 68 17
|
|
||||||
68 21 17
|
|
||||||
55 63 36
|
|
||||||
63 55 36
|
|
||||||
57 92 32
|
|
||||||
92 57 32
|
|
||||||
29 59 57
|
|
||||||
59 29 57
|
|
||||||
48 62 70
|
|
||||||
62 48 70
|
|
||||||
2 65 33
|
|
||||||
65 2 33
|
|
||||||
2 99 1
|
|
||||||
99 2 1
|
|
||||||
28 67 91
|
|
||||||
67 28 91
|
|
||||||
68 78 83
|
|
||||||
78 68 83
|
|
||||||
45 70 49
|
|
||||||
70 45 49
|
|
||||||
39 45 60
|
|
||||||
45 39 60
|
|
||||||
22 39 37
|
|
||||||
39 22 37
|
|
||||||
33 75 95
|
|
||||||
75 33 95
|
|
||||||
33 49 40
|
|
||||||
49 33 40
|
|
||||||
76 82 30
|
|
||||||
82 76 30
|
|
||||||
77 90 47
|
|
||||||
90 77 47
|
|
||||||
79 95 11
|
|
||||||
95 79 11
|
|
||||||
34 80 95
|
|
||||||
80 34 95
|
|
||||||
29 34 19
|
|
||||||
34 29 19
|
|
||||||
28 29 41
|
|
||||||
29 28 41
|
|
||||||
48 82 46
|
|
||||||
82 48 46
|
|
||||||
83 84 63
|
|
||||||
84 83 63
|
|
||||||
50 83 62
|
|
||||||
83 50 62
|
|
||||||
49 50 5
|
|
||||||
50 49 5
|
|
||||||
23 49 94
|
|
||||||
49 23 94
|
|
||||||
64 85 69
|
|
||||||
85 64 69
|
|
||||||
16 64 77
|
|
||||||
64 16 77
|
|
||||||
16 60 84
|
|
||||||
60 16 84
|
|
||||||
60 74 20
|
|
||||||
74 60 20
|
|
||||||
71 74 64
|
|
||||||
74 71 64
|
|
||||||
71 72 79
|
|
||||||
72 71 79
|
|
||||||
56 86 17
|
|
||||||
86 56 17
|
|
||||||
56 58 71
|
|
||||||
58 56 71
|
|
||||||
36 58 94
|
|
||||||
58 36 94
|
|
||||||
88 95 16
|
|
||||||
95 88 16
|
|
||||||
90 97 43
|
|
||||||
97 90 43
|
|
||||||
81 91 12
|
|
||||||
91 81 12
|
|
||||||
43 81 54
|
|
||||||
81 43 54
|
|
||||||
43 87 59
|
|
||||||
87 43 59
|
|
||||||
8 92 17
|
|
||||||
92 8 17
|
|
||||||
8 48 14
|
|
||||||
48 8 14
|
|
||||||
13 48 47
|
|
||||||
48 13 47
|
|
||||||
13 41 81
|
|
||||||
41 13 81
|
|
||||||
3 41 82
|
|
||||||
41 3 82
|
|
||||||
3 22 25
|
|
||||||
22 3 25
|
|
||||||
22 38 70
|
|
||||||
38 22 70
|
|
||||||
73 94 100
|
|
||||||
94 73 100
|
|
||||||
46 73 93
|
|
||||||
73 46 93
|
|
||||||
23 46 42
|
|
||||||
46 23 42
|
|
||||||
23 42 47
|
|
||||||
42 23 47
|
|
||||||
42 100 78
|
|
||||||
100 42 78
|
|
||||||
89 95 22
|
|
||||||
95 89 22
|
|
||||||
4 89 75
|
|
||||||
89 4 75
|
|
||||||
38 96 52
|
|
||||||
96 38 52
|
|
||||||
28 38 64
|
|
||||||
38 28 64
|
|
||||||
12 28 60
|
|
||||||
28 12 60
|
|
||||||
12 63 16
|
|
||||||
63 12 16
|
|
||||||
27 63 84
|
|
||||||
63 27 84
|
|
||||||
4 98 13
|
|
||||||
98 4 13
|
|
||||||
4 31 13
|
|
||||||
31 4 13
|
|
||||||
27 31 97
|
|
||||||
31 27 97
|
|
||||||
27 72 8
|
|
||||||
72 27 8
|
|
||||||
72 93 63
|
|
||||||
93 72 63
|
|
||||||
69 93 51
|
|
||||||
93 69 51
|
|
||||||
69 97 31
|
|
||||||
97 69 31
|
|
||||||
87 97 49
|
|
||||||
97 87 49
|
|
||||||
66 87 69
|
|
||||||
87 66 69
|
|
||||||
61 66 72
|
|
||||||
66 61 72
|
|
||||||
36 61 62
|
|
||||||
61 36 62
|
|
||||||
36 99 82
|
|
||||||
99 36 82
|
|
||||||
78 99 28
|
|
||||||
99 78 28
|
|
||||||
78 100 41
|
|
||||||
100 78 41
|
|
||||||
5 78 62
|
|
||||||
78 5 62
|
|
||||||
22 81 46
|
|
||||||
81 22 46
|
|
||||||
19 52 87
|
|
||||||
52 19 87
|
|
||||||
4 77 38
|
|
||||||
77 4 38
|
|
||||||
62 69 86
|
|
||||||
69 62 86
|
|
||||||
10 95 63
|
|
||||||
95 10 63
|
|
||||||
52 92 86
|
|
||||||
92 52 86
|
|
||||||
30 36 8
|
|
||||||
36 30 8
|
|
||||||
18 34 3
|
|
||||||
34 18 3
|
|
||||||
2 61 65
|
|
||||||
61 2 65
|
|
||||||
61 84 96
|
|
||||||
84 61 96
|
|
||||||
93 100 25
|
|
||||||
100 93 25
|
|
||||||
10 84 83
|
|
||||||
84 10 83
|
|
||||||
49 71 50
|
|
||||||
71 49 50
|
|
||||||
1 30 56
|
|
||||||
30 1 56
|
|
||||||
61 69 78
|
|
||||||
69 61 78
|
|
||||||
39 80 21
|
|
||||||
80 39 21
|
|
||||||
33 98 40
|
|
||||||
98 33 40
|
|
||||||
17 60 12
|
|
||||||
60 17 12
|
|
||||||
18 70 57
|
|
||||||
70 18 57
|
|
||||||
52 64 100
|
|
||||||
64 52 100
|
|
||||||
72 90 31
|
|
||||||
90 72 31
|
|
||||||
48 50 41
|
|
||||||
50 48 41
|
|
||||||
77 98 63
|
|
||||||
98 77 63
|
|
||||||
18 45 95
|
|
||||||
45 18 95
|
|
||||||
27 83 31
|
|
||||||
83 27 31
|
|
||||||
40 41 47
|
|
||||||
41 40 47
|
|
||||||
35 81 40
|
|
||||||
81 35 40
|
|
||||||
13 97 38
|
|
||||||
97 13 38
|
|
||||||
533212
dataset/graphs/graph10
533212
dataset/graphs/graph10
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
13026
dataset/graphs/graph5
13026
dataset/graphs/graph5
File diff suppressed because it is too large
Load Diff
25786
dataset/graphs/graph6
25786
dataset/graphs/graph6
File diff suppressed because it is too large
Load Diff
64416
dataset/graphs/graph7
64416
dataset/graphs/graph7
File diff suppressed because it is too large
Load Diff
126272
dataset/graphs/graph8
126272
dataset/graphs/graph8
File diff suppressed because it is too large
Load Diff
252878
dataset/graphs/graph9
252878
dataset/graphs/graph9
File diff suppressed because it is too large
Load Diff
@ -1,244 +0,0 @@
|
|||||||
1 10,2 10,1
|
|
||||||
1 10,1 11,1
|
|
||||||
1 11,1 10,1
|
|
||||||
2 5,3 5,1
|
|
||||||
2 5,2 6,1
|
|
||||||
2 6,2 5,1
|
|
||||||
2 10,1 10,1
|
|
||||||
2 10,3 10,1
|
|
||||||
3 5,2 5,1
|
|
||||||
3 5,4 5,1
|
|
||||||
3 7,4 7,1
|
|
||||||
3 9,4 9,1
|
|
||||||
3 9,3 10,1
|
|
||||||
3 10,2 10,1
|
|
||||||
3 10,3 9,1
|
|
||||||
3 10,3 11,1
|
|
||||||
3 11,4 11,1
|
|
||||||
3 11,3 10,1
|
|
||||||
3 11,3 12,1
|
|
||||||
3 12,3 11,1
|
|
||||||
4 4,4 5,1
|
|
||||||
4 5,3 5,1
|
|
||||||
4 5,5 5,1
|
|
||||||
4 5,4 4,1
|
|
||||||
4 7,3 7,1
|
|
||||||
4 7,5 7,1
|
|
||||||
4 9,3 9,1
|
|
||||||
4 9,5 9,1
|
|
||||||
4 11,3 11,1
|
|
||||||
5 5,4 5,1
|
|
||||||
5 5,5 6,1
|
|
||||||
5 6,5 5,1
|
|
||||||
5 6,5 7,1
|
|
||||||
5 7,4 7,1
|
|
||||||
5 7,6 7,1
|
|
||||||
5 7,5 6,1
|
|
||||||
5 7,5 8,1
|
|
||||||
5 8,6 8,1
|
|
||||||
5 8,5 7,1
|
|
||||||
5 8,5 9,1
|
|
||||||
5 9,4 9,1
|
|
||||||
5 9,5 8,1
|
|
||||||
5 9,5 10,1
|
|
||||||
5 10,6 10,1
|
|
||||||
5 10,5 9,1
|
|
||||||
5 12,6 12,1
|
|
||||||
6 2,7 2,1
|
|
||||||
6 7,5 7,1
|
|
||||||
6 7,7 7,1
|
|
||||||
6 7,6 8,1
|
|
||||||
6 8,5 8,1
|
|
||||||
6 8,6 7,1
|
|
||||||
6 10,5 10,1
|
|
||||||
6 10,7 10,1
|
|
||||||
6 12,5 12,1
|
|
||||||
6 12,7 12,1
|
|
||||||
6 15,7 15,1
|
|
||||||
7 2,6 2,1
|
|
||||||
7 2,8 2,1
|
|
||||||
7 5,8 5,1
|
|
||||||
7 7,6 7,1
|
|
||||||
7 7,8 7,1
|
|
||||||
7 10,6 10,1
|
|
||||||
7 10,8 10,1
|
|
||||||
7 10,7 11,1
|
|
||||||
7 11,7 10,1
|
|
||||||
7 11,7 12,1
|
|
||||||
7 12,6 12,1
|
|
||||||
7 12,8 12,1
|
|
||||||
7 12,7 11,1
|
|
||||||
7 12,7 13,1
|
|
||||||
7 13,7 12,1
|
|
||||||
7 15,6 15,1
|
|
||||||
7 15,7 16,1
|
|
||||||
7 16,7 15,1
|
|
||||||
7 16,7 17,1
|
|
||||||
7 17,8 17,1
|
|
||||||
7 17,7 16,1
|
|
||||||
8 2,7 2,1
|
|
||||||
8 2,8 3,1
|
|
||||||
8 3,9 3,1
|
|
||||||
8 3,8 2,1
|
|
||||||
8 3,8 4,1
|
|
||||||
8 4,8 3,1
|
|
||||||
8 4,8 5,1
|
|
||||||
8 5,7 5,1
|
|
||||||
8 5,9 5,1
|
|
||||||
8 5,8 4,1
|
|
||||||
8 5,8 6,1
|
|
||||||
8 6,8 5,1
|
|
||||||
8 6,8 7,1
|
|
||||||
8 7,7 7,1
|
|
||||||
8 7,9 7,1
|
|
||||||
8 7,8 6,1
|
|
||||||
8 7,8 8,1
|
|
||||||
8 8,8 7,1
|
|
||||||
8 10,7 10,1
|
|
||||||
8 12,7 12,1
|
|
||||||
8 12,9 12,1
|
|
||||||
8 14,9 14,1
|
|
||||||
8 17,7 17,1
|
|
||||||
8 17,9 17,1
|
|
||||||
8 17,8 18,1
|
|
||||||
8 18,8 17,1
|
|
||||||
9 3,8 3,1
|
|
||||||
9 3,10 3,1
|
|
||||||
9 5,8 5,1
|
|
||||||
9 7,8 7,1
|
|
||||||
9 7,10 7,1
|
|
||||||
9 9,10 9,1
|
|
||||||
9 12,8 12,1
|
|
||||||
9 12,10 12,1
|
|
||||||
9 12,9 13,1
|
|
||||||
9 13,9 12,1
|
|
||||||
9 13,9 14,1
|
|
||||||
9 14,8 14,1
|
|
||||||
9 14,9 13,1
|
|
||||||
9 14,9 15,1
|
|
||||||
9 15,10 15,1
|
|
||||||
9 15,9 14,1
|
|
||||||
9 15,9 16,1
|
|
||||||
9 16,9 15,1
|
|
||||||
9 16,9 17,1
|
|
||||||
9 17,8 17,1
|
|
||||||
9 17,10 17,1
|
|
||||||
9 17,9 16,1
|
|
||||||
10 2,10 3,1
|
|
||||||
10 3,9 3,1
|
|
||||||
10 3,10 2,1
|
|
||||||
10 7,9 7,1
|
|
||||||
10 7,11 7,1
|
|
||||||
10 9,9 9,1
|
|
||||||
10 9,11 9,1
|
|
||||||
10 11,11 11,1
|
|
||||||
10 11,10 12,1
|
|
||||||
10 12,9 12,1
|
|
||||||
10 12,10 11,1
|
|
||||||
10 15,9 15,1
|
|
||||||
10 15,11 15,1
|
|
||||||
10 17,9 17,1
|
|
||||||
11 4,12 4,1
|
|
||||||
11 4,11 5,1
|
|
||||||
11 5,11 4,1
|
|
||||||
11 5,11 6,1
|
|
||||||
11 6,11 5,1
|
|
||||||
11 6,11 7,1
|
|
||||||
11 7,10 7,1
|
|
||||||
11 7,12 7,1
|
|
||||||
11 7,11 6,1
|
|
||||||
11 7,11 8,1
|
|
||||||
11 8,11 7,1
|
|
||||||
11 8,11 9,1
|
|
||||||
11 9,10 9,1
|
|
||||||
11 9,11 8,1
|
|
||||||
11 9,11 10,1
|
|
||||||
11 10,12 10,1
|
|
||||||
11 10,11 9,1
|
|
||||||
11 10,11 11,1
|
|
||||||
11 11,10 11,1
|
|
||||||
11 11,11 10,1
|
|
||||||
11 13,11 14,1
|
|
||||||
11 14,11 13,1
|
|
||||||
11 14,11 15,1
|
|
||||||
11 15,10 15,1
|
|
||||||
11 15,12 15,1
|
|
||||||
11 15,11 14,1
|
|
||||||
11 15,11 16,1
|
|
||||||
11 16,11 15,1
|
|
||||||
12 1,13 1,1
|
|
||||||
12 1,12 2,1
|
|
||||||
12 2,12 1,1
|
|
||||||
12 2,12 3,1
|
|
||||||
12 3,13 3,1
|
|
||||||
12 3,12 2,1
|
|
||||||
12 3,12 4,1
|
|
||||||
12 4,11 4,1
|
|
||||||
12 4,12 3,1
|
|
||||||
12 7,11 7,1
|
|
||||||
12 10,11 10,1
|
|
||||||
12 10,13 10,1
|
|
||||||
12 15,11 15,1
|
|
||||||
12 15,13 15,1
|
|
||||||
13 1,12 1,1
|
|
||||||
13 1,14 1,1
|
|
||||||
13 3,12 3,1
|
|
||||||
13 3,14 3,1
|
|
||||||
13 8,13 9,1
|
|
||||||
13 9,14 9,1
|
|
||||||
13 9,13 8,1
|
|
||||||
13 9,13 10,1
|
|
||||||
13 10,12 10,1
|
|
||||||
13 10,13 9,1
|
|
||||||
13 14,13 15,1
|
|
||||||
13 15,12 15,1
|
|
||||||
13 15,14 15,1
|
|
||||||
13 15,13 14,1
|
|
||||||
13 15,13 16,1
|
|
||||||
13 16,13 15,1
|
|
||||||
14 1,13 1,1
|
|
||||||
14 3,13 3,1
|
|
||||||
14 3,14 4,1
|
|
||||||
14 4,15 4,1
|
|
||||||
14 4,14 3,1
|
|
||||||
14 6,15 6,1
|
|
||||||
14 9,13 9,1
|
|
||||||
14 9,15 9,1
|
|
||||||
14 11,15 11,1
|
|
||||||
14 15,13 15,1
|
|
||||||
15 4,14 4,1
|
|
||||||
15 6,14 6,1
|
|
||||||
15 6,16 6,1
|
|
||||||
15 6,15 7,1
|
|
||||||
15 7,16 7,1
|
|
||||||
15 7,15 6,1
|
|
||||||
15 9,14 9,1
|
|
||||||
15 9,16 9,1
|
|
||||||
15 9,15 10,1
|
|
||||||
15 10,15 9,1
|
|
||||||
15 10,15 11,1
|
|
||||||
15 11,14 11,1
|
|
||||||
15 11,16 11,1
|
|
||||||
15 11,15 10,1
|
|
||||||
16 6,15 6,1
|
|
||||||
16 6,16 7,1
|
|
||||||
16 7,15 7,1
|
|
||||||
16 7,16 6,1
|
|
||||||
16 7,16 8,1
|
|
||||||
16 8,17 8,1
|
|
||||||
16 8,16 7,1
|
|
||||||
16 8,16 9,1
|
|
||||||
16 9,15 9,1
|
|
||||||
16 9,16 8,1
|
|
||||||
16 11,15 11,1
|
|
||||||
16 11,17 11,1
|
|
||||||
17 8,16 8,1
|
|
||||||
17 8,18 8,1
|
|
||||||
17 11,16 11,1
|
|
||||||
18 8,17 8,1
|
|
||||||
18 8,19 8,1
|
|
||||||
19 7,19 8,1
|
|
||||||
19 8,18 8,1
|
|
||||||
19 8,20 8,1
|
|
||||||
19 8,19 7,1
|
|
||||||
20 8,19 8,1
|
|
||||||
1068402
dataset/grids/grid10
1068402
dataset/grids/grid10
File diff suppressed because it is too large
Load Diff
1710
dataset/grids/grid2
1710
dataset/grids/grid2
File diff suppressed because it is too large
Load Diff
7282
dataset/grids/grid3
7282
dataset/grids/grid3
File diff suppressed because it is too large
Load Diff
17736
dataset/grids/grid4
17736
dataset/grids/grid4
File diff suppressed because it is too large
Load Diff
53958
dataset/grids/grid5
53958
dataset/grids/grid5
File diff suppressed because it is too large
Load Diff
149854
dataset/grids/grid6
149854
dataset/grids/grid6
File diff suppressed because it is too large
Load Diff
243842
dataset/grids/grid7
243842
dataset/grids/grid7
File diff suppressed because it is too large
Load Diff
361054
dataset/grids/grid8
361054
dataset/grids/grid8
File diff suppressed because it is too large
Load Diff
582176
dataset/grids/grid9
582176
dataset/grids/grid9
File diff suppressed because it is too large
Load Diff
215
main.py
215
main.py
@ -8,18 +8,29 @@ import tracemalloc
|
|||||||
import os
|
import os
|
||||||
import random as rand
|
import random as rand
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
current_graph = []
|
def do_experiments():
|
||||||
nodes_chosen = []
|
current_group = []
|
||||||
|
dijkstra_mean_time, dijkstra_mean_memory, dijkstra_mean_error = [], [], []
|
||||||
|
a_star_mean_time, a_star_mean_memory, a_star_mean_weight = [], [], []
|
||||||
|
bidirectional_mean_time, bidirectional_mean_memory, bidirectional_mean_weight = [], [], []
|
||||||
|
graph_groups1 = os.listdir("dataset/grids/")
|
||||||
|
graph_groups2 = ["200", "500", "1000", "2000", "5000", "10000", "20000", "50000"]
|
||||||
|
grid_groups = os.listdir("dataset/grids/")
|
||||||
|
print(grid_groups)
|
||||||
|
|
||||||
|
|
||||||
|
def get_measurements_graph(group1, group2):
|
||||||
dijkstra_time, dijkstra_memory, dijkstra_weight = [], [], []
|
dijkstra_time, dijkstra_memory, dijkstra_weight = [], [], []
|
||||||
a_star_time, a_star_memory, a_star_weight = [], [], []
|
a_star_time, a_star_memory, a_star_weight = [], [], []
|
||||||
bidirectional_time, bidirectional_memory, bidirectional_weight = [], [], []
|
bidirectional_time, bidirectional_memory, bidirectional_weight = [], [], []
|
||||||
for i in range(1, len(os.listdir('dataset/graphs')) + 1):
|
error_a_star, error_bi = [], []
|
||||||
|
|
||||||
|
for i in range(1, len(os.listdir("dataset/graphs/" + group1 + "/" + group2)) + 1):
|
||||||
filename = "graph" + str(i)
|
filename = "graph" + str(i)
|
||||||
print(filename)
|
print(filename)
|
||||||
N, A, A_b, w = gen_graph.read_graph_from_file(filename, path="dataset/graphs/")
|
N, A, A_b, w = gen_graph.read_graph_from_file(filename, path="dataset/graphs/" + group1 + "/" + group2)
|
||||||
for j in range(3):
|
for j in range(3):
|
||||||
current_graph.append(filename)
|
|
||||||
start_node_index = rand.randint(0, len(N) - 1)
|
start_node_index = rand.randint(0, len(N) - 1)
|
||||||
goal_node_index = rand.randint(0, len(N) - 1)
|
goal_node_index = rand.randint(0, len(N) - 1)
|
||||||
while goal_node_index == start_node_index:
|
while goal_node_index == start_node_index:
|
||||||
@ -33,7 +44,7 @@ if __name__ == '__main__':
|
|||||||
start_node = node
|
start_node = node
|
||||||
if start_node is not None and goal_node is not None:
|
if start_node is not None and goal_node is not None:
|
||||||
break
|
break
|
||||||
nodes_chosen.append((start_node, goal_node))
|
|
||||||
startTime = time.time()
|
startTime = time.time()
|
||||||
tracemalloc.start()
|
tracemalloc.start()
|
||||||
weight = dijkstra.dijkstra_algorithm(start_node, goal_node, N, A, w)[1]
|
weight = dijkstra.dijkstra_algorithm(start_node, goal_node, N, A, w)[1]
|
||||||
@ -52,66 +63,23 @@ if __name__ == '__main__':
|
|||||||
|
|
||||||
startTime = time.time()
|
startTime = time.time()
|
||||||
tracemalloc.start()
|
tracemalloc.start()
|
||||||
weight = bidirectional.bidirectional_algorithm(start_node, goal_node, N, A, A_b, w, a_star.heuristic_cost)[1]
|
weight = bidirectional.bidirectional_algorithm(start_node, goal_node, N, A, A_b, w, a_star.heuristic_cost)[
|
||||||
|
1]
|
||||||
bidirectional_memory.append(tracemalloc.get_traced_memory()[1])
|
bidirectional_memory.append(tracemalloc.get_traced_memory()[1])
|
||||||
bidirectional_time.append((time.time() - startTime))
|
bidirectional_time.append((time.time() - startTime))
|
||||||
bidirectional_weight.append(weight)
|
bidirectional_weight.append(weight)
|
||||||
tracemalloc.stop()
|
tracemalloc.stop()
|
||||||
|
|
||||||
with open("output/graphs_times.out", "w", encoding="utf-8") as file:
|
for i in range(len(dijkstra_weight)):
|
||||||
file.write("\\begin{table}[]\n")
|
error_a_star.append((a_star_weight[i] - dijkstra_weight[i]) / dijkstra_weight[i])
|
||||||
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
error_bi.append((bidirectional_weight[i] - dijkstra_weight[i]) / dijkstra_weight[i])
|
||||||
file.write("\\hline\n")
|
|
||||||
file.write("nazwa grafu & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
|
||||||
|
|
||||||
with open("output/graphs_memory.out", "w", encoding="utf-8") as file:
|
return sum(dijkstra_time) / len(dijkstra_time), sum(dijkstra_memory) / len(dijkstra_memory), 0, \
|
||||||
file.write("\\begin{table}[]\n")
|
sum(a_star_time) / len(a_star_time), sum(a_star_memory) / len(a_star_memory), sum(error_a_star) / len(error_a_star),\
|
||||||
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
sum(bidirectional_time) / len(bidirectional_time), sum(bidirectional_memory) / len(bidirectional_memory), sum(error_bi) / len(error_bi)
|
||||||
file.write("\\hline\n")
|
|
||||||
file.write("nazwa grafu & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
|
||||||
|
|
||||||
with open("output/graph_weights.out", "w", encoding="utf-8") as file:
|
|
||||||
file.write("\\begin{table}[]\n")
|
|
||||||
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
|
||||||
file.write("\\hline\n")
|
|
||||||
file.write("nazwa grafu & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
|
||||||
|
|
||||||
with open("output/graphs_times.out", "a", encoding="utf-8") as file:
|
def get_measurements_grids():
|
||||||
for j in range(len(dijkstra_time)):
|
|
||||||
file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " + str(round(dijkstra_time[j], 5))
|
|
||||||
+ " & " + str(round(a_star_time[j], 5)) + " & " + str(round(bidirectional_time[j], 5)) +
|
|
||||||
" \\\\ \\hline\n")
|
|
||||||
file.write("\\hline\n")
|
|
||||||
file.write(" & średnia & " + str(round(sum(dijkstra_time) / len(dijkstra_time), 5))
|
|
||||||
+ " & " + str(round(sum(a_star_time) / len(a_star_time), 5))
|
|
||||||
+ " & " + str(round(sum(bidirectional_time) / len(bidirectional_time), 5))
|
|
||||||
+ " \\\\ \\hline\n")
|
|
||||||
|
|
||||||
file.write("\\end{tabular}\n")
|
|
||||||
file.write("\\end{table}\n")
|
|
||||||
|
|
||||||
with open("output/graphs_memory.out", "a", encoding="utf-8") as file:
|
|
||||||
for j in range(len(dijkstra_time)):
|
|
||||||
file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " + str(dijkstra_memory[j])
|
|
||||||
+ " & " + str(a_star_memory[j]) + " & " + str(bidirectional_memory[j]) + " \\\\ \\hline\n")
|
|
||||||
file.write("\\hline\n")
|
|
||||||
file.write(" & średnia & " + str(sum(dijkstra_memory) // len(dijkstra_memory))
|
|
||||||
+ " & " + str(sum(a_star_memory) // len(a_star_memory))
|
|
||||||
+ " & " + str(sum(bidirectional_memory) // len(bidirectional_memory))
|
|
||||||
+ " \\\\ \\hline\n")
|
|
||||||
file.write("\\end{tabular}\n")
|
|
||||||
file.write("\\end{table}\n")
|
|
||||||
|
|
||||||
with open("output/graph_weights.out", "a", encoding="utf-8") as file:
|
|
||||||
for j in range(len(dijkstra_time)):
|
|
||||||
file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " +
|
|
||||||
str(dijkstra_weight[j]) + " & " + str(a_star_weight[j]) + " & " +
|
|
||||||
str(bidirectional_weight[j]) + " \\\\ \\hline\n")
|
|
||||||
file.write("\\end{tabular}\n")
|
|
||||||
file.write("\\end{table}\n")
|
|
||||||
|
|
||||||
current_graph = []
|
|
||||||
nodes_chosen = []
|
|
||||||
dijkstra_time, dijkstra_memory, dijkstra_weight = [], [], []
|
dijkstra_time, dijkstra_memory, dijkstra_weight = [], [], []
|
||||||
a_star_time, a_star_memory, a_star_weight = [], [], []
|
a_star_time, a_star_memory, a_star_weight = [], [], []
|
||||||
bidirectional_time, bidirectional_memory, bidirectional_weight = [], [], []
|
bidirectional_time, bidirectional_memory, bidirectional_weight = [], [], []
|
||||||
@ -121,7 +89,7 @@ if __name__ == '__main__':
|
|||||||
print(filename)
|
print(filename)
|
||||||
N, A, A_b, w = gen_grid.read_grid_graph_from_file(filename, path="dataset/grids/")
|
N, A, A_b, w = gen_grid.read_grid_graph_from_file(filename, path="dataset/grids/")
|
||||||
for j in range(3):
|
for j in range(3):
|
||||||
current_graph.append(filename)
|
|
||||||
start_node_index = rand.randint(0, len(N) - 1)
|
start_node_index = rand.randint(0, len(N) - 1)
|
||||||
goal_node_index = rand.randint(0, len(N) - 1)
|
goal_node_index = rand.randint(0, len(N) - 1)
|
||||||
while goal_node_index == start_node_index:
|
while goal_node_index == start_node_index:
|
||||||
@ -135,7 +103,6 @@ if __name__ == '__main__':
|
|||||||
start_node = node
|
start_node = node
|
||||||
if start_node is not None and goal_node is not None:
|
if start_node is not None and goal_node is not None:
|
||||||
break
|
break
|
||||||
nodes_chosen.append((start_node, goal_node))
|
|
||||||
startTime = time.time()
|
startTime = time.time()
|
||||||
tracemalloc.start()
|
tracemalloc.start()
|
||||||
weight = dijkstra.dijkstra_algorithm(start_node, goal_node, N, A, w)[1]
|
weight = dijkstra.dijkstra_algorithm(start_node, goal_node, N, A, w)[1]
|
||||||
@ -161,6 +128,62 @@ if __name__ == '__main__':
|
|||||||
bidirectional_weight.append(weight)
|
bidirectional_weight.append(weight)
|
||||||
tracemalloc.stop()
|
tracemalloc.stop()
|
||||||
|
|
||||||
|
|
||||||
|
def write_output_table_graph():
|
||||||
|
with open("output/graphs_times.out", "w", encoding="utf-8") as file:
|
||||||
|
file.write("\\begin{table}[]\n")
|
||||||
|
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
||||||
|
file.write("\\hline\n")
|
||||||
|
file.write("grupa & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
||||||
|
|
||||||
|
with open("output/graphs_memory.out", "w", encoding="utf-8") as file:
|
||||||
|
file.write("\\begin{table}[]\n")
|
||||||
|
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
||||||
|
file.write("\\hline\n")
|
||||||
|
file.write("grupa & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
||||||
|
|
||||||
|
with open("output/graph_weights.out", "w", encoding="utf-8") as file:
|
||||||
|
file.write("\\begin{table}[]\n")
|
||||||
|
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
||||||
|
file.write("\\hline\n")
|
||||||
|
file.write("nazwa grafu & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
||||||
|
|
||||||
|
# with open("output/graphs_times.out", "a", encoding="utf-8") as file:
|
||||||
|
# for j in range(len(dijkstra_time)):
|
||||||
|
# file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " + str(round(dijkstra_time[j], 5))
|
||||||
|
# + " & " + str(round(a_star_time[j], 5)) + " & " + str(round(bidirectional_time[j], 5)) +
|
||||||
|
# " \\\\ \\hline\n")
|
||||||
|
# file.write("\\hline\n")
|
||||||
|
# file.write(" & średnia & " + str(round(sum(dijkstra_time) / len(dijkstra_time), 5))
|
||||||
|
# + " & " + str(round(sum(a_star_time) / len(a_star_time), 5))
|
||||||
|
# + " & " + str(round(sum(bidirectional_time) / len(bidirectional_time), 5))
|
||||||
|
# + " \\\\ \\hline\n")
|
||||||
|
#
|
||||||
|
# file.write("\\end{tabular}\n")
|
||||||
|
# file.write("\\end{table}\n")
|
||||||
|
#
|
||||||
|
# with open("output/graphs_memory.out", "a", encoding="utf-8") as file:
|
||||||
|
# for j in range(len(dijkstra_time)):
|
||||||
|
# file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " + str(dijkstra_memory[j])
|
||||||
|
# + " & " + str(a_star_memory[j]) + " & " + str(bidirectional_memory[j]) + " \\\\ \\hline\n")
|
||||||
|
# file.write("\\hline\n")
|
||||||
|
# file.write(" & średnia & " + str(sum(dijkstra_memory) // len(dijkstra_memory))
|
||||||
|
# + " & " + str(sum(a_star_memory) // len(a_star_memory))
|
||||||
|
# + " & " + str(sum(bidirectional_memory) // len(bidirectional_memory))
|
||||||
|
# + " \\\\ \\hline\n")
|
||||||
|
# file.write("\\end{tabular}\n")
|
||||||
|
# file.write("\\end{table}\n")
|
||||||
|
#
|
||||||
|
# with open("output/graph_weights.out", "a", encoding="utf-8") as file:
|
||||||
|
# for j in range(len(dijkstra_time)):
|
||||||
|
# file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " +
|
||||||
|
# str(dijkstra_weight[j]) + " & " + str(a_star_weight[j]) + " & " +
|
||||||
|
# str(bidirectional_weight[j]) + " \\\\ \\hline\n")
|
||||||
|
# file.write("\\end{tabular}\n")
|
||||||
|
# file.write("\\end{table}\n")
|
||||||
|
|
||||||
|
|
||||||
|
def write_output_table_grid():
|
||||||
with open("output/grids_times.out", "w", encoding="utf-8") as file:
|
with open("output/grids_times.out", "w", encoding="utf-8") as file:
|
||||||
file.write("\\begin{table}[]\n")
|
file.write("\\begin{table}[]\n")
|
||||||
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
||||||
@ -179,38 +202,42 @@ if __name__ == '__main__':
|
|||||||
file.write("\\hline\n")
|
file.write("\\hline\n")
|
||||||
file.write("nazwa siatki & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
file.write("nazwa siatki & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
||||||
|
|
||||||
with open("output/grids_times.out", "a", encoding="utf-8") as file:
|
# with open("output/grids_times.out", "a", encoding="utf-8") as file:
|
||||||
for j in range(len(dijkstra_time)):
|
# for j in range(len(dijkstra_time)):
|
||||||
file.write(
|
# file.write(
|
||||||
" " + current_graph[j] +
|
# " " + current_graph[j] +
|
||||||
" & " + str(nodes_chosen[j]) + " & "
|
# " & " + str(nodes_chosen[j]) + " & "
|
||||||
+ str(round(dijkstra_time[j], 5))
|
# + str(round(dijkstra_time[j], 5))
|
||||||
+ " & " + str(round(a_star_time[j], 5)) + " & " + str(round(bidirectional_time[j], 5)) +
|
# + " & " + str(round(a_star_time[j], 5)) + " & " + str(round(bidirectional_time[j], 5)) +
|
||||||
" \\\\ \\hline\n")
|
# " \\\\ \\hline\n")
|
||||||
file.write("\\hline\n")
|
# file.write("\\hline\n")
|
||||||
file.write(" & średnia & " + str(round(sum(dijkstra_time) / len(dijkstra_time), 5))
|
# file.write(" & średnia & " + str(round(sum(dijkstra_time) / len(dijkstra_time), 5))
|
||||||
+ " & " + str(round(sum(a_star_time) / len(a_star_time), 5))
|
# + " & " + str(round(sum(a_star_time) / len(a_star_time), 5))
|
||||||
+ " & " + str(round(sum(bidirectional_time) / len(bidirectional_time), 5))
|
# + " & " + str(round(sum(bidirectional_time) / len(bidirectional_time), 5))
|
||||||
+ " \\\\ \\hline\n")
|
# + " \\\\ \\hline\n")
|
||||||
file.write("\\end{tabular}\n")
|
# file.write("\\end{tabular}\n")
|
||||||
file.write("\\end{table}\n")
|
# file.write("\\end{table}\n")
|
||||||
|
#
|
||||||
|
# with open("output/grids_memory.out", "a", encoding="utf-8") as file:
|
||||||
|
# for j in range(len(dijkstra_time)):
|
||||||
|
# file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " + str(dijkstra_memory[j])
|
||||||
|
# + " & " + str(a_star_memory[j]) + " & " + str(bidirectional_memory[j]) + " \\\\ \\hline\n")
|
||||||
|
# file.write("\\hline\n")
|
||||||
|
# file.write(" & średnia & " + str(sum(dijkstra_memory) // len(dijkstra_memory))
|
||||||
|
# + " & " + str(sum(a_star_memory) // len(a_star_memory))
|
||||||
|
# + " & " + str(sum(bidirectional_memory) // len(bidirectional_memory))
|
||||||
|
# + " \\\\ \\hline\n")
|
||||||
|
# file.write("\\end{tabular}\n")
|
||||||
|
# file.write("\\end{table}\n")
|
||||||
|
#
|
||||||
|
# with open("output/grids_weights.out", "a", encoding="utf-8") as file:
|
||||||
|
# for j in range(len(dijkstra_time)):
|
||||||
|
# file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " +
|
||||||
|
# str(dijkstra_weight[j]) + " & " + str(a_star_weight[j]) + " & " +
|
||||||
|
# str(bidirectional_weight[j]) + " \\\\ \\hline\n")
|
||||||
|
# file.write("\\end{tabular}\n")
|
||||||
|
# file.write("\\end{table}\n")
|
||||||
|
|
||||||
with open("output/grids_memory.out", "a", encoding="utf-8") as file:
|
|
||||||
for j in range(len(dijkstra_time)):
|
|
||||||
file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " + str(dijkstra_memory[j])
|
|
||||||
+ " & " + str(a_star_memory[j]) + " & " + str(bidirectional_memory[j]) + " \\\\ \\hline\n")
|
|
||||||
file.write("\\hline\n")
|
|
||||||
file.write(" & średnia & " + str(sum(dijkstra_memory) // len(dijkstra_memory))
|
|
||||||
+ " & " + str(sum(a_star_memory) // len(a_star_memory))
|
|
||||||
+ " & " + str(sum(bidirectional_memory) // len(bidirectional_memory))
|
|
||||||
+ " \\\\ \\hline\n")
|
|
||||||
file.write("\\end{tabular}\n")
|
|
||||||
file.write("\\end{table}\n")
|
|
||||||
|
|
||||||
with open("output/grids_weights.out", "a", encoding="utf-8") as file:
|
if __name__ == '__main__':
|
||||||
for j in range(len(dijkstra_time)):
|
do_experiments()
|
||||||
file.write(" " + current_graph[j] + " & " + str(nodes_chosen[j]) + " & " +
|
|
||||||
str(dijkstra_weight[j]) + " & " + str(a_star_weight[j]) + " & " +
|
|
||||||
str(bidirectional_weight[j]) + " \\\\ \\hline\n")
|
|
||||||
file.write("\\end{tabular}\n")
|
|
||||||
file.write("\\end{table}\n")
|
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user