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 @@
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import random
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from pathlib import Path
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def generate_tree_from_prufer_code(code):
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@ -37,31 +38,26 @@ def generate_prufers_code(n: int):
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return code
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def generate_random_graph(n: int, log=False):
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def generate_random_graph(n: int, edges_number: int, log=False):
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code = generate_prufers_code(n)
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edges = generate_tree_from_prufer_code(code)
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number_of_edges_to_add = random.randint(n//4, int(n/3))
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if log:
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print("number of edges to add:", number_of_edges_to_add)
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counter = 0
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while counter < number_of_edges_to_add:
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edges_dict = {}
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for index in range(len(edges)):
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edges_dict[(edges[index][0], edges[index][1])] = True
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while len(edges_dict) < edges_number:
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node1 = random.randint(1, n)
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node2 = random.randint(1, n)
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while node1 == node2:
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node2 = random.randint(1, n)
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if node1 < node2:
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if [node1, node2] not in edges:
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edges.append([node1, node2])
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counter += 1
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edges_dict[(node1, node2)] = True
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else:
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if [node2, node1] not in edges:
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edges.append([node2, node1])
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counter += 1
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return edges
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edges_dict[(node2, node1)] = True
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return edges_dict.keys()
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def write_graph_to_file(graph, filename, path="graphs/"):
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print("writing to file")
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with open(path + filename, 'w') as file:
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for edge in graph:
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weight = random.randint(1, 100)
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@ -103,10 +99,17 @@ def read_graph_from_file(filename, path="graphs/"):
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if __name__ == '__main__':
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n = [100, 500, 1_000, 2_500, 5_000, 10_000, 25_000, 50_000, 100_000, 200_000]
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for i in range(1, 11):
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print("generating graph:", i, "of", 10, "with", n[i-1], "nodes")
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g = generate_random_graph(n[i-1], log=True)
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f = "graph" + str(i)
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write_graph_to_file(g, f)
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print()
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n = [200, 500, 1_000, 2_000, 5_000, 10_000, 20_000, 50_000]
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for k in [5]:
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group = str(k) + "n"
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print("generating graph group:", str(k) + "n")
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for i in range(1, len(n)+1):
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print("generating graphs group:", group, "with", n[i - 1], "nodes and", int(k * n[i - 1]), "edges")
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p = "graphs/" + group + "/" + str(n[i-1]) + "/"
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for j in range(1, 51):
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print("graph:", j, "of", 50)
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g = generate_random_graph(n[i-1], int(k * n[i - 1]), log=True)
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f = "graph" + str(j)
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Path(p).mkdir(parents=True, exist_ok=True)
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write_graph_to_file(g, f, p)
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print()
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@ -1,4 +1,5 @@
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import random as rand
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from pathlib import Path
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def generate_grid(height: int, width: int, fill_percent: int = 70):
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@ -155,11 +156,14 @@ def read_grid_graph_from_file(filename, path="grids/"):
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if __name__ == "__main__":
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n = [(20, 20), (50, 50), (100, 100), (150, 150), (250, 250), (400, 400), (500, 500),
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(600, 600), (750, 750), (1000, 1000)]
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for i in range(1, 11):
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print("generating graph:", i, "of", 10, "with size", n[i-1])
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f = "grid" + str(i)
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g = generate_grid(n[i-1][0]+2, n[i-1][1]+2)
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print("writing to file")
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write_grid_as_graph_to_file(g, f)
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n = [(20, 20), (50, 50), (100, 100), (150, 150), (250, 250), (500, 500)]
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for i in range(1, len(n)+1):
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p = "grids/" + str(n[i-1][0]) + "x" + str(n[i-1][1]) + "/"
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print("generating graphs group:", n[i - 1])
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for j in range(1, 51):
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f = "grid" + str(j)
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print(f)
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g = generate_grid(n[i-1][0]+2, n[i-1][1]+2)
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Path(p).mkdir(parents=True, exist_ok=True)
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write_grid_as_graph_to_file(g, f, p)
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print()
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@ -1,256 +0,0 @@
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2 99 1
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12 63 16
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69 62 86
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10 95 63
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36 30 8
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18 34 3
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34 18 3
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84 61 96
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100 93 25
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10 84 83
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1 30 56
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30 1 56
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61 69 78
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69 61 78
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39 80 21
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80 39 21
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33 98 40
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98 33 40
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17 60 12
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60 17 12
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18 70 57
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70 18 57
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52 64 100
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64 52 100
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72 90 31
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90 72 31
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48 50 41
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50 48 41
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77 98 63
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98 77 63
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18 45 95
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45 18 95
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27 83 31
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83 27 31
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40 41 47
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41 40 47
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35 81 40
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81 35 40
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13 97 38
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97 13 38
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533212
dataset/graphs/graph10
533212
dataset/graphs/graph10
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dataset/graphs/graph5
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dataset/graphs/graph5
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dataset/graphs/graph6
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dataset/graphs/graph6
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dataset/graphs/graph7
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dataset/graphs/graph7
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dataset/graphs/graph8
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dataset/graphs/graph8
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dataset/graphs/graph9
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dataset/graphs/graph9
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@ -1,244 +0,0 @@
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1 10,2 10,1
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1 10,1 11,1
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1 11,1 10,1
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2 5,3 5,1
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2 5,2 6,1
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2 6,2 5,1
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2 10,1 10,1
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2 10,3 10,1
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3 5,2 5,1
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3 5,4 5,1
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3 7,4 7,1
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3 9,4 9,1
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3 9,3 10,1
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3 10,2 10,1
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3 10,3 9,1
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3 10,3 11,1
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3 11,4 11,1
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3 11,3 10,1
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3 11,3 12,1
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3 12,3 11,1
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4 4,4 5,1
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4 5,3 5,1
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4 5,5 5,1
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4 5,4 4,1
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4 7,3 7,1
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4 7,5 7,1
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4 9,3 9,1
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4 9,5 9,1
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4 11,3 11,1
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5 5,4 5,1
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5 10,5 9,1
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6 7,5 7,1
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6 7,6 8,1
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6 8,5 8,1
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6 8,6 7,1
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6 10,5 10,1
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7 2,8 2,1
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7 12,6 12,1
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7 12,8 12,1
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7 12,7 11,1
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7 12,7 13,1
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7 16,7 15,1
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9 13,9 12,1
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9 13,9 14,1
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9 14,8 14,1
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9 14,9 13,1
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9 14,9 15,1
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9 15,10 15,1
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9 15,9 14,1
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9 15,9 16,1
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9 16,9 15,1
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9 16,9 17,1
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9 17,8 17,1
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9 17,10 17,1
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9 17,9 16,1
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10 2,10 3,1
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10 3,9 3,1
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10 3,10 2,1
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10 7,9 7,1
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10 7,11 7,1
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10 9,9 9,1
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10 9,11 9,1
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10 11,11 11,1
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10 11,10 12,1
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10 12,9 12,1
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10 12,10 11,1
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10 15,9 15,1
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10 15,11 15,1
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10 17,9 17,1
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11 4,12 4,1
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11 4,11 5,1
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11 5,11 4,1
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11 5,11 6,1
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11 6,11 5,1
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11 6,11 7,1
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11 7,10 7,1
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11 7,12 7,1
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11 7,11 6,1
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11 7,11 8,1
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11 8,11 7,1
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11 8,11 9,1
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11 9,10 9,1
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11 9,11 8,1
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11 9,11 10,1
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11 10,12 10,1
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11 10,11 9,1
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11 10,11 11,1
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11 11,10 11,1
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11 11,11 10,1
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11 13,11 14,1
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11 14,11 13,1
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11 14,11 15,1
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11 15,10 15,1
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11 15,12 15,1
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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
223
main.py
223
main.py
@ -8,20 +8,31 @@ import tracemalloc
|
||||
import os
|
||||
import random as rand
|
||||
|
||||
if __name__ == '__main__':
|
||||
current_graph = []
|
||||
nodes_chosen = []
|
||||
|
||||
def do_experiments():
|
||||
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 = [], [], []
|
||||
a_star_time, a_star_memory, a_star_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)
|
||||
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):
|
||||
current_graph.append(filename)
|
||||
start_node_index = rand.randint(0, len(N)-1)
|
||||
goal_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)
|
||||
while goal_node_index == start_node_index:
|
||||
goal_node_index = rand.randint(0, len(N) - 1)
|
||||
start_node = None
|
||||
@ -33,7 +44,7 @@ if __name__ == '__main__':
|
||||
start_node = node
|
||||
if start_node is not None and goal_node is not None:
|
||||
break
|
||||
nodes_chosen.append((start_node, goal_node))
|
||||
|
||||
startTime = time.time()
|
||||
tracemalloc.start()
|
||||
weight = dijkstra.dijkstra_algorithm(start_node, goal_node, N, A, w)[1]
|
||||
@ -52,66 +63,23 @@ if __name__ == '__main__':
|
||||
|
||||
startTime = time.time()
|
||||
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_time.append((time.time() - startTime))
|
||||
bidirectional_weight.append(weight)
|
||||
tracemalloc.stop()
|
||||
|
||||
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("nazwa grafu & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
||||
for i in range(len(dijkstra_weight)):
|
||||
error_a_star.append((a_star_weight[i] - dijkstra_weight[i]) / dijkstra_weight[i])
|
||||
error_bi.append((bidirectional_weight[i] - dijkstra_weight[i]) / dijkstra_weight[i])
|
||||
|
||||
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("nazwa grafu & (s, t) & Dijkstra & A* & Bi A* \\\\ \\hline\n")
|
||||
return sum(dijkstra_time) / len(dijkstra_time), sum(dijkstra_memory) / len(dijkstra_memory), 0, \
|
||||
sum(a_star_time) / len(a_star_time), sum(a_star_memory) / len(a_star_memory), sum(error_a_star) / len(error_a_star),\
|
||||
sum(bidirectional_time) / len(bidirectional_time), sum(bidirectional_memory) / len(bidirectional_memory), sum(error_bi) / len(error_bi)
|
||||
|
||||
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")
|
||||
|
||||
current_graph = []
|
||||
nodes_chosen = []
|
||||
def get_measurements_grids():
|
||||
dijkstra_time, dijkstra_memory, dijkstra_weight = [], [], []
|
||||
a_star_time, a_star_memory, a_star_weight = [], [], []
|
||||
bidirectional_time, bidirectional_memory, bidirectional_weight = [], [], []
|
||||
@ -121,9 +89,9 @@ if __name__ == '__main__':
|
||||
print(filename)
|
||||
N, A, A_b, w = gen_grid.read_grid_graph_from_file(filename, path="dataset/grids/")
|
||||
for j in range(3):
|
||||
current_graph.append(filename)
|
||||
start_node_index = rand.randint(0, len(N)-1)
|
||||
goal_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)
|
||||
while goal_node_index == start_node_index:
|
||||
goal_node_index = rand.randint(0, len(N) - 1)
|
||||
start_node = None
|
||||
@ -135,7 +103,6 @@ if __name__ == '__main__':
|
||||
start_node = node
|
||||
if start_node is not None and goal_node is not None:
|
||||
break
|
||||
nodes_chosen.append((start_node, goal_node))
|
||||
startTime = time.time()
|
||||
tracemalloc.start()
|
||||
weight = dijkstra.dijkstra_algorithm(start_node, goal_node, N, A, w)[1]
|
||||
@ -161,6 +128,62 @@ if __name__ == '__main__':
|
||||
bidirectional_weight.append(weight)
|
||||
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:
|
||||
file.write("\\begin{table}[]\n")
|
||||
file.write("\\begin{tabular}{|l|l|l|l|l|}\n")
|
||||
@ -179,38 +202,42 @@ if __name__ == '__main__':
|
||||
file.write("\\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:
|
||||
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/grids_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/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:
|
||||
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")
|
||||
if __name__ == '__main__':
|
||||
do_experiments()
|
||||
|
||||
Loading…
Reference in New Issue
Block a user