def worker(number, data, ppc):
gmpy2.get_context().precision = 100
m = 1
setup(ppc)
temp_data = [[0 for i in range(N)] for i in range(N)]
mm = [[gmpy2.mpfr(0.0) for i in range(N)] for ii in range(N)]
ss = [[0 for i in range(N)] for ii in range(N)]
v0 = 0.0 #v([])
vector = list(range(N))
while (True):
for i in range(0, m, N):
shuffle(vector)
prev_v = v0
spruik_solver()
for ii, vv in enumerate(vector): #size ii, player vv
new_v = v(vector[0:ii + 1])
x = new_v - prev_v
prev_v = new_v
mm[ii][vv] += x
mm[N - ii - 1][vv] += x
ss[ii][vv] += 1
ss[N - ii - 1][vv] += 1
for i in range(N):
for ii in range(N):
temp_data[i][ii] = mm[i][ii] / ss[i][ii] if ss[i][
ii] > 0 else 0 #indsplus*random()*2.0/N #random()*1000
data[number] = [
float(sum([temp_data[o][i] for o in range(N)]) / N)
for i in range(N)
]
def run(input_file):
print "---START---"
global N
ppc = json.load(input_file)
N = len(ppc['bus'])
setup(ppc)
indsplus = calc_maxmin_minmax((1<<N)-1)
print "indsplus = {}".format(indsplus)
input_file.close()
def run(input_file, output_file):
print "---START---"
global N
ppc = json.load(input_file)
N = len(ppc['bus'])
setup(ppc)
data = []
for i in tqdm.tqdm(range(2**N)):
data.append([i,calc_maxmin_minmax(i)])
output_file.write(json.dumps(data).replace("]","]\n"))
# output_file.write("{} {}\n".format(N,time.time()-t))
output_file.close()
def worker(number, data, ppc):
seed(32000)
m = 100
setup(ppc)
#print v([0,2,4])
#for i in range(10000000):
# print v([0,3,5,1])
#sys.exit(0)
listi = list(range(N))
shuffle(listi)
#spruik_solver()
for ii in range(1):
#print "hello"
output = [0.0]
for i in range(1, N + 1): #N+1):
#if (int(random()*4)==0):
# spruik_solver()
vv = listi[0:i]
#v(vv)
#print "{}\t".format(v(vv)),
t = time.time()
output.append(int(v(vv)))
print i, time.time() - t, vv
print output