def main(show=False):
configurations = load_configurations()
#active_config = configurations[0]
active_config = configurations[2]
demand_matrix = create_demand_matrix_for_configuration(active_config)
network = HuffmanDanNetwork(demand_matrix)
network.create_dan(active_config['dan'])
if show:
render_everyting(network)
plt.show()
def main(show=False):
configurations = load_configurations('../config.json')
active_config = configurations[5]
res = []
vertex_nums = [25, 50, 75, 100, 125, 150, 175, 200]
delta_nums = [10, 16, 24,
48] #, "1d", "2d", "4d", "6d", "8d", "10d", "12d"]
constants = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
if not os.path.exists("unified_res"):
os.mkdir("unified_res")
res_file_original = os.path.join('unified_res', 'e_star_unified_1.csv')
fields = [
'graph', 'vertex_num', 'constant', 'congestion', 'real_congestion',
'avg_route_len', 'delta', 'max_delta', 'dan', 'most_congested_route',
'max_route_len', 'avg_tree_weight', 'most_tree_ratio', 'tree_count',
'type', 'start_entropy'
]
with open(res_file_original, 'w') as csvFile:
writer = csv.DictWriter(csvFile, fieldnames=fields)
writer.writeheader()
csvFile.close()
for vertex_num in vertex_nums:
for delta_num in delta_nums:
configs = []
for constant in constants:
for i in range(20):
active_cfg = active_config.copy()
active_cfg['vertex_num'] = vertex_num
active_cfg['constant'] = constant
active_cfg['dan'] = delta_num
configs.append(active_cfg)
with mp.Pool() as p:
res1 = p.map(run_dan_original, configs)
res2 = p.map(run_dan_egobalance, configs)
res3 = p.map(run_dan_huffman, configs)
res4 = p.map(run_dan_bfs, configs)
res5 = p.map(run_dan_random, configs)
with open(res_file_original, "a+") as csvFile:
writer = csv.DictWriter(csvFile, fieldnames=fields)
writer.writerows(res1)
writer.writerows(res2)
writer.writerows(res3)
writer.writerows(res4)
writer.writerows(res5)
csvFile.close()
def main(show=False):
configurations = load_configurations('../config.json')
active_config = configurations[0]
res = []
vertex_nums = [25, 50, 75, 100, 125, 150, 175, 200]
delta_nums = ["2d", "4d", "6d", "8d", "10d", "12d"]
constants = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
if not os.path.exists("original_res"):
os.mkdir("original_res")
res_file = os.path.join('original_res', 'results_original_delta.csv')
fields = [
'graph', 'vertex_num', 'constant', 'congestion', 'real_congestion',
'avg_route_len', 'delta', 'max_delta', 'dan', 'most_congested_route',
'max_route_len', 'avg_tree_weight', 'most_tree_ratio', 'tree_count',
'type', 'start_entropy'
]
with open(res_file, 'w') as csvFile:
writer = csv.DictWriter(csvFile, fieldnames=fields)
writer.writeheader()
csvFile.close()
for vertex_num in vertex_nums:
for delta_num in delta_nums:
configs = []
for constant in constants:
for i in range(5):
active_cfg = active_config.copy()
active_cfg['vertex_num'] = vertex_num
active_cfg['constant'] = constant
active_cfg['dan'] = delta_num
configs.append(active_cfg)
with mp.Pool() as p:
res = p.map(run_dan, configs)
with open(res_file, "a+") as csvFile:
writer = csv.DictWriter(csvFile, fieldnames=fields)
#writer.writeheader()
writer.writerows(res)
csvFile.close()