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testFiducialPairReduction.py
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testFiducialPairReduction.py
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import unittest, os
import pygsti
from pygsti.construction import std1Q_XYI as std
from ..testutils import compare_files, temp_files
import numpy as np
import pickle
from .algorithmsTestCase import AlgorithmTestCase
class FiducialPairReductionTestCase(AlgorithmTestCase):
def test_memlimit(self):
# A very low memlimit
pygsti.alg.find_sufficient_fiducial_pairs(std.target_model(), std.fiducials, std.fiducials,
std.germs, testPairList=[(0,0),(0,1),(1,0)],
verbosity=0, memLimit=8192)
# A significantly higher one
pygsti.alg.find_sufficient_fiducial_pairs(std.target_model(), std.fiducials, std.fiducials,
std.germs, testPairList=[(0,0),(0,1),(1,0)],
verbosity=0, memLimit=128000)
def test_intelligentFiducialPairReduction(self):
fidPairs = self.runSilent(
pygsti.alg.find_sufficient_fiducial_pairs_per_germ,
std.target_model(), std.fiducials, std.fiducials,
std.germs, prepovmTuples="first",
searchMode="sequential",
constrainToTP=True,
nRandom=100, seed=None, verbosity=3,
memLimit=None)
vs = self.versionsuffix
cmpFilenm = compare_files + "/IFPR_fidPairs_dict%s.pkl" % vs
#Uncomment to SAVE reference fidPairs dictionary
if os.environ.get('PYGSTI_REGEN_REF_FILES','no').lower() in ("yes","1","true","v2"): # "v2" to only gen version-dep files
with open(cmpFilenm,"wb") as pklfile:
pickle.dump(fidPairs, pklfile)
with open(cmpFilenm,"rb") as pklfile:
fidPairs_cmp = pickle.load(pklfile)
#On other machines (eg TravisCI) these aren't equal, due to randomness, so don't test
#self.assertEqual(fidPairs, fidPairs_cmp)
#test out some additional code paths: mem limit, random mode, & no good pair list
fidPairs2 = self.runSilent(
pygsti.alg.find_sufficient_fiducial_pairs_per_germ,
std.target_model(), std.fiducials, std.fiducials,
std.germs, prepovmTuples="first",
searchMode="random",
constrainToTP=True,
nRandom=3, seed=None, verbosity=3,
memLimit=1024*10)
fidPairs3 = self.runSilent( #larger nRandom
pygsti.alg.find_sufficient_fiducial_pairs_per_germ,
std.target_model(), std.fiducials, std.fiducials,
std.germs, prepovmTuples="first",
searchMode="random",
constrainToTP=True,
nRandom=100, seed=None, verbosity=3,
memLimit=1024*10)
fidPairs3b = self.runSilent( #huge nRandom (should cap to all pairs)
pygsti.alg.find_sufficient_fiducial_pairs_per_germ,
std.target_model(), std.fiducials, std.fiducials,
std.germs, prepovmTuples="first",
searchMode="random",
constrainToTP=True,
nRandom=1000000, seed=None, verbosity=3,
memLimit=1024*10)
def test_FPR_test_pairs(self):
target_model = std.target_model()
prep_fiducials = std.fiducials
meas_fiducials = std.fiducials
germs = std.germs
maxLengths = [1,2,4,8,16]
opLabels = list(target_model.operations.keys())
fidPairs = pygsti.alg.find_sufficient_fiducial_pairs(
target_model, prep_fiducials, meas_fiducials, germs,
searchMode="random", nRandom=100, seed=1234,
verbosity=1, memLimit=int(2*(1024)**3), minimumPairs=2)
# fidPairs is a list of (prepIndex,measIndex) 2-tuples, where
# prepIndex indexes prep_fiducials and measIndex indexes meas_fiducials
print("Global FPR says we only need to keep the %d pairs:\n %s\n"
% (len(fidPairs),fidPairs))
nAmplified = pygsti.alg.test_fiducial_pairs(fidPairs, target_model, prep_fiducials,
meas_fiducials, germs,
verbosity=3, memLimit=None)
#Note: can't amplify SPAM params, so don't count them
nTotal = pygsti.alg.removeSPAMVectors(target_model).num_nongauge_params()
self.assertEqual(nTotal, 34)
print("GFPR: %d AMPLIFIED out of %d total (non-spam non-gauge) params" % (nAmplified, nTotal))
self.assertEqual(nAmplified, 34)
fidPairsDict = pygsti.alg.find_sufficient_fiducial_pairs_per_germ(
target_model, prep_fiducials, meas_fiducials, germs,
searchMode="random", constrainToTP=True,
nRandom=100, seed=1234, verbosity=1,
memLimit=int(2*(1024)**3))
nAmplified = pygsti.alg.test_fiducial_pairs(fidPairsDict, target_model, prep_fiducials,
meas_fiducials, germs,
verbosity=3, memLimit=None)
print("PFPR: %d AMPLIFIED out of %d total (non-spam non-gauge) params" % (nAmplified, nTotal))
self.assertEqual(nAmplified, 34)
if __name__ == '__main__':
unittest.main(verbosity=2)