def test_condMVLocal(self):
nsamples = 5
m=2
initbids = [3,3]
samples = numpy.zeros((nsamples,m))
samples[:,0] = numpy.arange(nsamples)
samples[:,1] = 2
bundles = listBundles(m)
l = 1
v = [45,20]
revenue = msListRevenue(bundles, v, l)
print bundles
print revenue
brd = {}
for b,r in zip(bundles,revenue):
brd[tuple(b)] = r
newbid = condMVLocalUpdate(brd, initbids, 0, samples, True)
print newbid
bids = condMVLocal(bundles,revenue, initbids, samples)
print bids
def main():
desc="Compute jointLocal bids given v's, l's initial bids and parameters"
parser = argparse.ArgumentParser(description=desc)
parser.add_argument('-s','--samplesFile',dest='samplesFile',
required=True,type=str,
help='Samples (text file)')
parser.add_argument('-v','--vfile',dest='vfile',
required=True,type=str,
help='Valuation v vector txt file.')
parser.add_argument('-l','--lfile',dest='lfile',
required=True,type=str,
help='Valuation lambda txt file.')
parser.add_argument('-ib','--initBidFile',dest='initBidFile',
required=True,type=str,
help='Initial Bids txt file.')
parser.add_argument('-es','--evalSamples',dest='evalFile',
required=True,type=str,
help='Evaluation samples file.')
parser.add_argument('-o','--odir',dest='odir',
required=True,type=str,
help='Output directory.')
parser.add_argument('-mi','--maxitr', dest='maxitr',
required=False, default=100, type=int,
help='Maximum Update Iterations')
parser.add_argument('-t','--tol',dest='tol',
required=False, default=1e-5,
type=float,help='L2 Update Stopping Tolerance')
parser.add_argument('--verbose',dest='verbose',
required=False,default=False,
type=bool,help='Output debugg information')
args = parser.parse_args()
args.odir = os.path.realpath(args.odir)
jointSamples = numpy.loadtxt(os.path.realpath(args.samplesFile))
initBids = numpy.loadtxt(os.path.realpath(args.initBidFile))
vmat = numpy.loadtxt(os.path.realpath(args.vfile))
lmat = numpy.loadtxt(os.path.realpath(args.lfile))
evalSamples = numpy.loadtxt(os.path.realpath(args.evalFile))
m = initBids.shape[1]
bundles = listBundles(m)
bids = numpy.zeros(initBids.shape)
es = numpy.zeros(initBids.shape[0])
for itr, initBid, v, l in zip(xrange(vmat.shape[0]),initBids,vmat,lmat):
print 'iteration {0}'.format(itr)
revenue = msListRevenue(bundles,v,l)
bids[itr,:] = \
condMVLocal(bundles,revenue,initBid,jointSamples,
args.maxitr,args.tol,args.verbose,'bids')
brd = {}
for b,r in zip(bundles,revenue):
brd[tuple(b)] = r
es[itr] = expectedSurplus_(brd, bids[itr,:], evalSamples)
numpy.savetxt(os.path.join(args.odir,'condMVLocalBids.txt'), bids)
numpy.savetxt(os.path.join(args.odir,'condMVLocalExpectedSurplus.txt'),es)
with open(os.path.join(args.odir,'condMVLocalStats.txt'),'w') as f:
print >> f, numpy.mean(es)
print >> f, numpy.var(es)