import sys
sys.path.append('.')
from wusn.exact import solve
from wusn.commons import WusnInput
if __name__ == '__main__':
inp = WusnInput.from_file('small_data/test/001.test')
prob = solve.model_lp(inp)
out = solve.solve_lp(prob, inp)
print(out.valid)
out.plot_to_file('tests/test.png')
'rmc': (uniform_sensors, many_clustered_relays),
'rfc': (uniform_sensors, few_clustered_relays),
'br': (bordered_sensors, uniform_relays),
'cer': (centered_sensors, uniform_relays)
# 'rb': (uniform_sensors, bordered_relays),
# 'rce': (uniform_sensors, centered_relays)
}
if __name__ == '__main__':
args = parse_arguments()
count = 1
for name, (fn_s, fn_r) in GENS.items():
for i in range(args.count):
sensors_ = fn_s(args.width, args.height, args.depth, args.sensors,
args.relays, args.Y)
relays_ = fn_r(args.width, args.height, args.rheight, args.sensors,
args.relays, args.Y)
inp = WusnInput(sensors=sensors_,
relays=relays_,
relay_num=args.Y,
width=args.width,
height=args.height,
ignore_cache=True)
fname = '%s-%03d.test' % (name, i + 1)
path = os.path.join(args.output_dir, fname)
print('Saving test case %d to %s' % (count, path))
count += 1
inp.to_file(path)
def parse_arguments():
parser = ArgumentParser()
parser.add_argument('-i', '--input', required=True)
parser.add_argument('-o', '--output', default='out/exact')
parser.add_argument('--lax', action='store_true')
return parser.parse_args()
if __name__ == '__main__':
args = parse_arguments()
print('File: %s' % args.input)
inp = WusnInput.from_file(args.input)
print('Modeling...')
prob = solve.model_lp(inp, lax=args.lax)
print('Solving LP...')
out = solve.solve_lp(prob, inp)
test_name = os.path.split(args.input)[-1].split('.')[0]
if not args.lax:
save_dir = os.path.join(args.output, test_name)
print('Saving results to %s ...' % save_dir)
os.makedirs(save_dir, exist_ok=True)
out.to_text_file(args.input, os.path.join(save_dir, 'opt.out'))
out.plot_to_file(os.path.join(save_dir, 'opt.png'))
history = InMemoryHistory()
plt.ioff()
print('Enter a path to an input/output file to view its plot.')
print('Ctrl+C or Ctrl+D to exit.')
try:
while True:
path = prompt('> ', history=history)
if not os.path.exists(path):
print('No such path exists.')
continue
try:
if path.endswith('.test'):
obj = WusnInput.from_file(path)
else:
obj = WusnOutput.from_text_file(path)
except Exception:
print('Failed to open file.')
continue
fig = plt.figure()
ax = Axes3D(fig)
obj.plot(ax, highlight_max=False)
ax.legend()
plt.show()
fig.clf()
except (KeyboardInterrupt, EOFError):
print()
# print('Enter a path to an input/output file to gens.')
# path_1 = input()
# print('Enter a path to an input/output file to matrix.')
# path_2 = input()
print('Enter a path to an input/output file to data.')
path_3 = input()
try:
if not os.path.exists(path_1) or not os.path.exists(
path_2) or not os.path.exists(path_3):
print('No such path exists.')
try:
gens = ToA.from_file_gens(path=path_1)
matrix = ToA.from_file_matrix(path=path_2)
obj = WusnInput.from_file(path_3, True)
except Exception:
print('Failed')
anchors = obj.anchors
exact_non_anchors = obj.non_anchors
init_population(80)
individual_number = len(population)
population.sort(key=fitness)
crossover_selection_size = int(len(population) * 4 / 5)
mutation_selection_size = int(len(population) / 2)
for t in range(generation):
print(t)
candi_pop = population.copy()
crossover_candidates = []
mutation_candidates = []
import sys
sys.path.append('.')
from wusn.commons import WusnInput
if __name__ == '__main__':
inp1 = WusnInput.from_file('small_data/001.test', ignore_cache=True)
inp1.cache_losses()
inp2 = WusnInput.from_file('small_data/001.test', ignore_cache=False)
import sys
sys.path.append('.')
from wusn.commons import WusnInput
from wusn.yuan.lurns import lurns1, lurns2
if __name__ == '__main__':
inp = WusnInput.from_file('data/001.test')
out1 = lurns1.lurns1(inp)
out1.to_text_file('data/001.test', 'tests/001_lu.out')
# out2 = lurns2.lurns2(inp)
x, y = uniform_point(width, height)
rn = Point(x=x, y=y, r=radius, order=i + M)
non_anchors.append(rn)
return non_anchors
GENS = {
'rr': (uniform_anchors, uniform_non_anchors),
# 'rhr': (uniform_sensors, uniform_half_relays),
}
if __name__ == '__main__':
args = parse_arguments()
count = 1
for name, (fn_s, fn_r) in GENS.items():
for i in range(args.count):
anchors_ = fn_s(args.width, args.height, args.anchors, args.radius)
non_anchors_ = fn_r(args.width, args.height, args.non_anchors,
args.anchors, args.radius)
inp = WusnInput(anchors=anchors_,
non_anchors=non_anchors_,
width=args.width,
height=args.height,
ignore_cache=True)
fname = '%s-%03d.test' % (name, i + 1)
path = os.path.join(args.output_dir, fname)
print('Saving test case %d to %s' % (count, path))
count += 1
inp.to_file(path)