def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
print 'options = %s' % (options)
argv = sys.argv
argc = len(argv)
lef, rig = 0, 1
if argc > 2:
lef = int(argv[1])
rig = int(argv[2])
history = history_c()
history.load('../../daily/163/data/dbf/2016.dbf')
px = []
py = []
foo = []
for i in xrange(lef, rig):
rep = run(i, history)
foo.append(rep)
sys.stdout.flush()
px.append(rep[0])
py.append(rep[1])
with open('plabels.json', 'w') as jsf:
json.dump(foo, jsf)
plt.axhline(y=0, color='k', alpha=0.2)
plt.plot(px, py, 'b.')
plt.show()
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
sys.stdout.flush()
argv = sys.argv
argc = len(argv)
lef, rig = 0, 1
if argc > 2:
lef = int(argv[1])
rig = int(argv[2])
history = history_c()
history.load('../data/dbf/2017.dbf')
report = []
for pgy in xrange(-30, 30, 6):
row = []
for pcy in xrange(-30, 30, 6):
acc = 0.0
num = 0.0
for i in xrange(lef, rig):
foo = run(i, history, 2.0**pgy, 2.0**pcy)
acc += foo[0]
num += foo[1]
row.append(acc / num)
report.append(row)
print report
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
print 'options = %s' % (options)
argv = sys.argv
argc = len(argv)
lef, rig = 0, 1
if argc>2:
lef = int(argv[1])
rig = int(argv[2])
history = history_c()
history.load('../data/dbf/2016.dbf')
px = []
py = [[], [], []]
pc = ['r.', 'b.', 'g.']
for i in xrange(lef, rig):
rep = run(i, history)
sys.stdout.flush()
px.append(i)
for k in xrange(3):
py[k].append(rep[k])
plt.axhline(y=0.0, color='k', alpha=0.2)
for k in xrange(3):
mean = np.array(py[k]).mean()
print 'pos %d, mean = %.12f' % (k, mean)
plt.plot(px, py[k], pc[k])
plt.axhline(y=mean, color=pc[k][:-1], alpha=0.3)
sys.stdout.flush()
plt.show()
def main():
history = history_c()
history.load('../../daily/163/data/dbf/2012.dbf')
jstr = raw_input().strip()
task = json.loads(jstr)
n = len(task['code'])
sample = [(task['code'][i], task['tweek'][i]) for i in xrange(n)]
progress(history, sample)
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
argv = sys.argv
argc = len(argv)
history = history_c()
history.load('../data/dbf/2017.dbf')
run(history)
def main():
history = history_c()
#history.load('../../daily/163/data/dbf/2016.dbf')
#history.load('../../daily/163/data/dbf/2012.dbf')
history.load('../../daily/163/data/dbf/overview.dbf')
foo = history.uniws()
for row in foo[::-1]:
print row
def main():
notes = 'nsample = %d\n' % (nsample)
print 'nsample = %d' % (nsample)
notes += 'ntracks = %d\n' % (ntracks)
print 'ntracks = %d' % (ntracks)
notes += 'options = %s\n' % (options)
print 'options = %s' % (options)
argv = sys.argv
argc = len(argv)
lef, rig = 0, 1
pref = ''
img = 'untitled.png'
if argc > 2:
lef = int(argv[1])
rig = int(argv[2])
if argc > 3 and argv[3] != 'ss':
pref = argv[3]
if argc > 4:
img = argv[4]
notes += 'cprefix = \'%s\'\n' % (pref)
print 'cprefix = \'%s\'' % (pref)
history = history_c()
#history.load('../../daily/163/data/dbf/2016.dbf')
history.load('../../daily/163/data/dbf/2012.dbf')
selections = {'code': [], 'tweek': []}
px = []
py = [[], [], []]
pc = ['r.', 'b.', 'g.']
for i in xrange(lef, rig):
rep = run(history, i, pref, selections)
sys.stdout.flush()
px.append(i)
for k in xrange(3):
py[k].append(rep[k])
plt.axhline(y=0.0, color='k', alpha=0.2)
print json.dumps(selections)
for k in xrange(3):
mean = np.array(py[k]).mean()
notes += 'pos %d, mean = %.24f\n' % (k, mean)
print 'pos %d, mean = %.24f' % (k, mean)
plt.plot(px, py[k], pc[k])
plt.axhline(y=mean, color=pc[k][:-1], alpha=0.3)
sys.stdout.flush()
plt.figtext(0.14,
0.11,
notes,
alpha=0.3,
horizontalalignment='left',
fontsize=6,
multialignment='left',
fontweight='normal')
#plt.show()
plt.savefig(img)
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
argv = sys.argv
argc = len(argv)
lef, rig = 0, 1
if argc > 2:
lef = int(argv[1])
rig = int(argv[2])
history = history_c()
history.load('../data/dbf/2017.dbf')
for i in xrange(lef, rig):
run(i, history)
sys.stdout.flush()
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
print 'options = %s' % (options)
argv = sys.argv
argc = len(argv)
lef, rig, logfile = 0, 1, 'benchmark.log'
if argc > 2:
lef = int(argv[1])
rig = int(argv[2])
#logfile = argv[3]
#with open(logfile, 'a') as log:
# log.write('nsample = %d\nntracks = %d\noptions = %s\n' % (nsample, ntracks, options))
history = history_c()
history.load('../data/dbf/2017.dbf')
for i in xrange(lef, rig):
run(i, history, logfile)
sys.stdout.flush()
def main():
history = history_c()
history.load('../../daily/163/data/dbf/2012.dbf')
plt.axhline(y=0.0, color='k', alpha=0.2)
jstr = raw_input().strip()
task = json.loads(jstr)
n = len(task['code'])
for i in xrange(n):
row = history.kweek(task['code'][i], task['tweek'][i])
co = 'r'
if row[0] < 1e-6:
co = 'g'
li = '-'
if row[3] < 5:
li = '--'
plt.plot([i, i], [row[1], row[2]], co + li)
plt.plot([i], [row[1]], co + ',')
plt.plot([i], [row[2]], co + ',')
plt.plot([i], [row[0]], co + 'o')
#plt.plot([-1, n], [0, 0], '.', alpha=1.0)
plt.xlim(-1, n)
plt.show()
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
print 'options = %s' % (options)
argv = sys.argv
argc = len(argv)
lef, rig = 0, 1
if argc > 2:
lef = int(argv[1])
rig = int(argv[2])
history = history_c()
history.load('../data/dbf/2017.dbf')
px = []
py = []
for i in xrange(lef, rig):
rep = run(i, history)
sys.stdout.flush()
px.append(rep[0])
py.append(rep[1])
plt.axhline(y=0, color='k', alpha=0.2)
plt.plot(px, py, 'b.')
plt.show()
foo.sort(key=lambda tup: (-tup[1]))
for i in xrange(3):
print '%s y\' = %.6f, y = %.6f' % foo[i]
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
sys.stdout.flush()
earliest = -1
try:
earliest = int(sys.argv[1])
except IndexError, ValueError:
print 'error: tweek was not found.'
return
history = history_c()
history.load('../../daily/163/data/dbf/2016.dbf')
uniws = history.uniws()
for tweek in xrange(earliest + 1):
if tweek > 0:
print uniws[tweek - 1]
else:
print '?:??????:????-??-??:(?)'
sys.stdout.flush()
run(history, tweek, '')
sys.stdout.flush()
run(history, tweek, 'sh')
sys.stdout.flush()
if __name__ == '__main__':
def main():
print 'nsample = %d' % (nsample)
print 'ntracks = %d' % (ntracks)
history = history_c()
history.load('../data/dbf/2017.dbf')
run(history)