-
Notifications
You must be signed in to change notification settings - Fork 0
/
IO.py
193 lines (164 loc) · 7.57 KB
/
IO.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
import os.path
from random import *
import CONSTANT
seed(CONSTANT.random_seed)
def Import_data(H, data='sonla', n=100, Rs=40, Rc=80, Qmax=10, change=1):
'''
@param H: size of the AoI (HxH)
@param data: dataset name
@param n: Number of target (start)
@param Rs: Sensing radius (start)
@param Rc: Communication radius (start)
@param Qmax: Q max (start)
@param change: index of the scenario (1: change n, 2: change Rs, 3: change Q max, 4: change Rc)
@return: The dataset config, the target set for each case, vector Q for each case, dataset name, scenario index (from 0)
'''
global n_default , Rs_default, Rc_default , Qmax_default
# file = ["bacgiang", "hanoi", "lamdong", "sonla", "thaibinh"]
Dataset = [[[n + CONSTANT.n_step * i, Rs, Rc, Qmax] for i in range(CONSTANT.dataset_num)], # change n
[[n, Rs + CONSTANT.Rs_step * i, Rc, Qmax] for i in range(CONSTANT.dataset_num)], # change Rs
[[n, Rs, Rc, Qmax + CONSTANT.Qmax_step * i] for i in range(CONSTANT.dataset_num)],# change Qmax
[[n, Rs, Rc + CONSTANT.Rc_step * i, Qmax] for i in range(CONSTANT.dataset_num)]] # change Rc
with open(f"Data/{data}.asc", "r") as f:
f.readline()
f.readline()
xllcorner = float(f.readline()[9:-1])
yllcorner = float(f.readline()[9:-1])
cellsize = float(f.readline()[8:-1])
NODATA_value = f.readline()
data_asc = f.readlines()
data_asc[0] = data_asc[0][13:]
data_asc[0] = list(map(float, data_asc[0].split()))
for i in range(1, len(data_asc)):
data_asc[i] = list(map(float, data_asc[i].split()))
data_asc[i - 1].append(data_asc[i].pop(0))
data_asc.pop()
cell = int(H // 25)
data_asc = data_asc[-cell:]
for i in range(len(data_asc)):
data_asc[i] = data_asc[i][:cell]
Dataset = Dataset[change - 1]
Targets, Qs = place_random(H, Dataset, data_asc, change)
return Dataset, Targets, Qs, data, change - 1, data_asc
def place_random(H, Dataset, data_asc, change):
if change == 1:
Targets = []
Qs = []
for j in range(len(Dataset)):
n = Dataset[j][0]
T = []
for k in range(n):
x, y = random() * H, random() * H
z = data_asc[int(x // 25)][int(y // 25)]
T.append([x, y, z])
Qmax = Dataset[j][3]
Q = [randint(1, Qmax) for _ in range(n)]
Qs.append(Q)
Targets.append(T.copy())
elif change == 2 or change == 4:
Targets = []
Qs = []
n = Dataset[0][0]
T = []
for k in range(n):
x, y = random() * H, random() * H
z = data_asc[int(x // 25)][int(y // 25)]
T.append([x, y, z])
Qmax = Dataset[0][3]
Q = [randint(1, Qmax) for _ in range(n)]
for j in range(len(Dataset)):
Qs.append(Q.copy())
Targets.append(T.copy())
elif change == 3:
Targets = []
Qs = []
n = Dataset[0][0]
T = []
for k in range(n):
x, y = random() * H, random() * H
z = data_asc[int(x // 25)][int(y // 25)]
T.append([x, y, z])
for j in range(len(Dataset)):
Qmax = Dataset[j][3]
Q = [randint(1, Qmax) for _ in range(n)]
Qs.append(Q)
Targets.append(T.copy())
return Targets, Qs
def exportDataCov(average_S, average_runtimeCov, Dataset, file, name, H, change):
n = Dataset[0][0]
Rs = Dataset[0][1]
Q = Dataset[0][3]
changes = ["n", "Rs", 'Qmax', 'Rc']
assert change != 3, "Cannot change Rc in Phase I!"
if not os.path.exists(f"Result/{name}/{file}"):
os.makedirs(f"Result/{name}/{file}")
with open(f"Result/{name}/{file}/change {changes[change]} n{n} Rs{Rs} Q{Q} H{H} data.txt", "w") as f:
if change == 0:
f.write("changing n\n")
for i in range(CONSTANT.dataset_num):
string = f'n = {Dataset[i][0]}, s1-1-{i + 1}, {average_S["n"][i]}, {average_runtimeCov["n"][i]}\n'
f.write(string)
if change == 1:
f.write("changing Rs\n")
for i in range(CONSTANT.dataset_num):
string = f'Rs = {Dataset[i][1]}, s1-2-{i + 1}, {average_S["Rs"][i]}, {average_runtimeCov["Rs"][i]}\n'
f.write(string)
if change == 2:
f.write("changing Qmax\n")
for i in range(CONSTANT.dataset_num):
string = f'Qmax = {Dataset[i][3]}, s1-3-{i + 1}, {average_S["Q"][i]}, {average_runtimeCov["Q"][i]}\n'
f.write(string)
def exportDataCon(average_Rn, average_runtimeCon, Dataset, file, name, H, change):
n = Dataset[0][0]
Rs = Dataset[0][1]
Rc = Dataset[0][2]
Q = Dataset[0][3]
changes = ["n", "Rs", 'Qmax', 'Rc']
assert change != 1, "Cannot change Rs in Phase II!"
if not os.path.exists(f"Result/{name}/{file}"):
os.makedirs(f"Result/{name}/{file}")
with open(f"Result/{name}/{file}/change {changes[change]} n{n} Rc{Rc} Q{Q} H{H} data.txt", "a") as f:
if change == 0:
f.write("changing n\n")
for i in range(CONSTANT.dataset_num):
string = f'n = {Dataset[i][0]}, s2-1-{i + 1}, {average_Rn["n"][i]}, {average_runtimeCon["n"][i]}\n'
f.write(string)
if change == 3:
f.write("changing Rc\n")
for i in range(CONSTANT.dataset_num):
string = f'Rc = {Dataset[i][2]}, s2-2-{i + 1}, {average_Rn["Rc"][i]}, {average_runtimeCon["Rc"][i]}\n'
f.write(string)
if change == 2:
f.write("changing Qmax\n")
for i in range(CONSTANT.dataset_num):
string = f'Qmax = {Dataset[i][3]}, s2-3-{i + 1}, {average_Rn["Q"][i]}, {average_runtimeCon["Q"][i]}\n'
f.write(string)
def exportDataBoth(average_S, average_Rn, average_runtime, Dataset, file, name, H, change):
n = Dataset[0][0]
Rs = Dataset[0][1]
Rc = Dataset[0][2]
Q = Dataset[0][3]
changes = ["n", "Rs", 'Qmax', 'Rc']
if not os.path.exists(f"Result/{name}/{file}"):
os.makedirs(f"Result/{name}/{file}")
with open(f"Result/{name}/{file}/change {changes[change]} n{n} Rs{Rs} Rc{Rc} Q{Q} H{H} data.txt", "a") as f:
if change == 0:
f.write("changing n\n")
for i in range(CONSTANT.dataset_num):
string = f'n = {Dataset[i][0]}, s3-1-{i + 1}, {average_S["n"][i]}, {average_Rn["n"][i]}, {average_runtime["n"][i]}\n'
f.write(string)
if change == 1:
f.write("changing Rs\n")
for i in range(CONSTANT.dataset_num):
string = f'Rs = {Dataset[i][1]}, s3-2-{i + 1}, {average_S["Rs"][i]}, {average_Rn["Rs"][i]}, {average_runtime["Rs"][i]}\n'
f.write(string)
if change == 3:
f.write("changing Rc\n")
for i in range(CONSTANT.dataset_num):
string = f'Rc = {Dataset[i][2]}, s3-3-{i + 1}, {average_S["Rc"][i]}, {average_Rn["Rc"][i]}, {average_runtime["Rc"][i]}\n'
f.write(string)
if change == 2:
f.write("changing Qmax\n")
for i in range(CONSTANT.dataset_num):
string = f'Qmax = {Dataset[i][3]}, s3-4-{i + 1}, {average_S["Q"][i]}, {average_Rn["Q"][i]}, {average_runtime["Q"][i]}\n'
f.write(string)