PyGSTi provides support for many different plots you may want to make with your estimates. In this tutorial, we give examples of how to generate the more commonly-used plots using the functions within pygsti.report.plotting
.
from __future__ import print_function
import pygsti
import pygsti.report.plotting as pplt
import json
%pylab inline
Populating the interactive namespace from numpy and matplotlib
Gather the data we need to create some example plots.
#Gate sets
gs_target = pygsti.io.load_gateset("tutorial_files/Example_Gateset.txt")
gs_mc2gst = pygsti.io.load_gateset("tutorial_files/Example_MC2GST_Gateset.txt")
gs_elgst = pygsti.io.load_gateset("tutorial_files/Example_eLGST_Gateset.txt")
#Data set
ds = pygsti.io.load_dataset("tutorial_files/Example_Dataset.txt", cache=False)
#Fiducials, germs, and maximum lengths (necessary to label the plots)
fiducialList = pygsti.io.load_gatestring_list("tutorial_files/Example_FiducialList.txt")
germList = pygsti.io.load_gatestring_list("tutorial_files/Example_GermsList.txt")
maxLengthList = json.load(open("tutorial_files/Example_maxLengths.json","r"))
specs = pygsti.construction.build_spam_specs(fiducialGateStrings=fiducialList)
strs = pygsti.construction.get_spam_strs(specs)
print("Gates (%d): " % len(gs_target.gates), gs_target.gates.keys())
print("Fiducials (%d): " % len(fiducialList), map(str,fiducialList))
print("Germs (%d): " % len(germList),map(str,germList))
print("Dataset has %d gate strings" % len(ds))
Loading tutorial_files/Example_Dataset.txt: 100% Gates (3): odict_keys(['Gi', 'Gx', 'Gy']) Fiducials (6): <map object at 0x10a4eb0b8> Germs (11): <map object at 0x10a56b908> Dataset has 2737 gate strings
pplt.gate_matrix_boxplot(gs_target['Gx'], mxBasis="pp", mxBasisDims=2, xlabel="testX", ylabel="testY", title="mytitle", boxLabels=True)
<pygsti.report.figure.ReportFigure at 0x10a628eb8>
errgen = pygsti.tools.error_generator(gs_mc2gst['Gx'], gs_target['Gx'], "logG-logT")
hamProjs = pygsti.tools.std_errgen_projections(errgen, "hamiltonian", "pp", "gm")
stoProjs = pygsti.tools.std_errgen_projections(errgen, "stochastic", "pp", "gm")
pplt.errgen_projection_boxplot(hamProjs,"pp",title="Hamiltonian",boxLabels=True)
pplt.errgen_projection_boxplot(stoProjs,"pp",title="Stochastic",boxLabels=True)
<pygsti.report.figure.ReportFigure at 0x10a7f46a0>
Many of the plots in the following examples plot groups of boxes. Each group corresponds to a particular "base" gate string that is sandwiched between sets of fiducial gate strings to create the group. Here we create a "gate-string-dictionary" which associates a base gate string with a (x,y) coordinate pair. Plotting functions take sets of X-coordinates (Xs
) and Y-coordinates (Ys
) to plot, along with a gate string dictionary (gateStrDict
) which serves as a lookkup table for base gate strings.
#Collect data we need for making plots
Xs = maxLengthList[1:]; xlbl = r"$L$ (max length)"
Ys = germList; ylbl = "Germ"
gateStrDict = { (x,y):pygsti.construction.repeat_with_max_length(y,x,False) for x in Xs for y in Ys }
#remove duplicates by replacing duplicate strings with None
runningList = []
for x in Xs:
for y in Ys:
if gateStrDict[(x,y)] in runningList:
gateStrDict[(x,y)] = None
else: runningList.append( gateStrDict[(x,y)] )
One of the most straightforward ways to evaluate GST estimates is to ask whether the estimates correctly reproduce the observed frequencies of the counts (or "clicks") for the experiments. The answer to this question is to compute the $\chi^{2}$ function for the gateset.
#Demonstrates a blank chi2 boxplot
pplt.blank_boxplot( Xs, Ys, gateStrDict, strs, xlbl, ylbl, sumUp=True, ticSize=20)
<pygsti.report.figure.ReportFigure at 0x10ab9a198>
#Compute the chi2 scores for the estimated gateset using the MC2GST algorithm
pplt.chi2_boxplot( Xs, Ys, gateStrDict, ds, gs_mc2gst, strs, xlbl, ylbl,
scale=1.0, sumUp=False, histogram=True)
<pygsti.report.figure.ReportFigure at 0x10e1e7b00>
Because most of the $\chi^{2}$ values are close to 0, we conclude this estimated gateset does a good job of reproducing the observed frequencies. Which it should, since the figure of merit we were using in our estimation was the $\chi^{2}$ function!
#Make another chi2 plot, with different x and y labels
pplt.chi2_boxplot( Xs, Ys, gateStrDict, ds, gs_mc2gst, strs, xlbl, ylbl,
scale=1.0, sumUp=False, histogram=True, invert=True)
<pygsti.report.figure.ReportFigure at 0x10ca1bd30>
#Sum up the chi2 boxes for each (Germ, L) pair
pplt.chi2_boxplot( Xs, Ys, gateStrDict, ds, gs_mc2gst, strs, xlbl, ylbl,
scale=1.0, sumUp=True)
<pygsti.report.figure.ReportFigure at 0x10d6e5550>
directLGST = pplt.direct_lgst_gatesets( [gs for gs in gateStrDict.values() if gs is not None],
ds, specs, gs_target, svdTruncateTo=4, verbosity=2)
directLSGST = pplt.direct_mc2gst_gatesets( [gs for gs in gateStrDict.values() if gs is not None],
ds, specs, gs_target, svdTruncateTo=4, minProbClipForWeighting=1e-2,
probClipInterval=(-1e6,1e6), verbosity=2)
#focusedGS = AT.focused_mc2gst_gatesets( [gs for gs in gateStrDict.values() if gs is not None],
# ds, specs, gs_mc2gst, minProbClipForWeighting=1e-2,
# probClipInterval=(-1e6,1e6), verbosity=2)
--- Direct LGST precomputation --- --- Computing gateset for string - Iter 01 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 02 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 03 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 04 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 05 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 06 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 07 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 08 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 09 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 10 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 11 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 12 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 13 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 14 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 15 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 16 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 17 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 18 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 19 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 20 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 21 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 22 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 23 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 24 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 25 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 26 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 27 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 28 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 29 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 30 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 31 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 32 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 33 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 34 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 35 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 36 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 37 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 38 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 39 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 40 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 41 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 42 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 43 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 44 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 45 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 46 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 47 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 48 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 49 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 50 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 51 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 52 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 53 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 54 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 55 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 56 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 57 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 58 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 59 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 60 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 61 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 62 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 63 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 64 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 65 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 66 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 67 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 68 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 69 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 70 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 71 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 72 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 73 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 74 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 75 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 76 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 77 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 78 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 79 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 80 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 81 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 82 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 83 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Computing gateset for string - Iter 84 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Direct LSGST precomputation --- --- Computing gateset for string- Iter 01 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 182.414, mu=0 --- Outer Iter 1: norm_f = 78.9004, mu=561.656 --- Outer Iter 2: norm_f = 78.3638, mu=187.219 --- Outer Iter 3: norm_f = 78.3574, mu=62.4062 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 78.3574 (192 data params - 56 model params = expected mean of 136; p-value = 0.999981) Completed in 0.1s --- Computing gateset for string- Iter 02 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 187.825, mu=0 --- Outer Iter 1: norm_f = 81.3154, mu=564.061 --- Outer Iter 2: norm_f = 80.8183, mu=188.02 --- Outer Iter 3: norm_f = 80.8096, mu=62.6734 --- Outer Iter 4: norm_f = 80.8095, mu=20.8911 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.8095 (192 data params - 56 model params = expected mean of 136; p-value = 0.999954) Completed in 0.1s --- Computing gateset for string- Iter 03 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 183.108, mu=0 --- Outer Iter 1: norm_f = 73.6826, mu=562.827 --- Outer Iter 2: norm_f = 73.2931, mu=187.609 --- Outer Iter 3: norm_f = 73.2863, mu=62.5364 --- Outer Iter 4: norm_f = 73.2863, mu=20.8455 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 73.2863 (192 data params - 56 model params = expected mean of 136; p-value = 0.999998) Completed in 0.1s --- Computing gateset for string- Iter 04 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 188.418, mu=0 --- Outer Iter 1: norm_f = 76.7849, mu=562.692 --- Outer Iter 2: norm_f = 76.3969, mu=187.564 --- Outer Iter 3: norm_f = 76.3913, mu=62.5213 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 76.3913 (192 data params - 56 model params = expected mean of 136; p-value = 0.999991) Completed in 0.1s --- Computing gateset for string- Iter 05 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 172.615, mu=0 --- Outer Iter 1: norm_f = 60.5764, mu=585.387 --- Outer Iter 2: norm_f = 60.1579, mu=195.129 --- Outer Iter 3: norm_f = 60.1494, mu=65.043 --- Outer Iter 4: norm_f = 60.1493, mu=21.681 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 60.1493 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 06 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 186.829, mu=0 --- Outer Iter 1: norm_f = 84.1503, mu=560.365 --- Outer Iter 2: norm_f = 83.8263, mu=186.788 --- Outer Iter 3: norm_f = 83.822, mu=62.2628 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 83.822 (192 data params - 56 model params = expected mean of 136; p-value = 0.99987) Completed in 0.1s --- Computing gateset for string- Iter 07 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 186.13, mu=0 --- Outer Iter 1: norm_f = 74.8149, mu=564.738 --- Outer Iter 2: norm_f = 74.4054, mu=188.246 --- Outer Iter 3: norm_f = 74.3993, mu=62.7487 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 74.3993 (192 data params - 56 model params = expected mean of 136; p-value = 0.999996) Completed in 0.1s --- Computing gateset for string- Iter 08 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 203.385, mu=0 --- Outer Iter 1: norm_f = 93.5035, mu=564.226 --- Outer Iter 2: norm_f = 92.963, mu=188.075 --- Outer Iter 3: norm_f = 92.9555, mu=62.6918 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 92.9555 (192 data params - 56 model params = expected mean of 136; p-value = 0.998189) Completed in 0.1s --- Computing gateset for string- Iter 09 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 184.235, mu=0 --- Outer Iter 1: norm_f = 80.9463, mu=562.028 --- Outer Iter 2: norm_f = 80.4379, mu=187.343 --- Outer Iter 3: norm_f = 80.4316, mu=62.4475 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.4316 (192 data params - 56 model params = expected mean of 136; p-value = 0.999959) Completed in 0.1s --- Computing gateset for string- Iter 10 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 187.377, mu=0 --- Outer Iter 1: norm_f = 89.5946, mu=560.828 --- Outer Iter 2: norm_f = 89.2952, mu=186.943 --- Outer Iter 3: norm_f = 89.2912, mu=62.3142 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 89.2912 (192 data params - 56 model params = expected mean of 136; p-value = 0.999315) Completed in 0.1s --- Computing gateset for string- Iter 11 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 173.058, mu=0 --- Outer Iter 1: norm_f = 71.7228, mu=564.057 --- Outer Iter 2: norm_f = 71.3374, mu=188.019 --- Outer Iter 3: norm_f = 71.3323, mu=62.673 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 71.3323 (192 data params - 56 model params = expected mean of 136; p-value = 0.999999) Completed in 0.1s --- Computing gateset for string- Iter 12 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 189.161, mu=0 --- Outer Iter 1: norm_f = 78.1208, mu=567.6 --- Outer Iter 2: norm_f = 77.6591, mu=189.2 --- Outer Iter 3: norm_f = 77.6486, mu=63.0667 --- Outer Iter 4: norm_f = 77.6484, mu=21.0222 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 77.6484 (192 data params - 56 model params = expected mean of 136; p-value = 0.999986) Completed in 0.1s --- Computing gateset for string- Iter 13 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 190.077, mu=0 --- Outer Iter 1: norm_f = 84.5687, mu=561.19 --- Outer Iter 2: norm_f = 84.1618, mu=187.063 --- Outer Iter 3: norm_f = 84.1569, mu=62.3544 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 84.1569 (192 data params - 56 model params = expected mean of 136; p-value = 0.999855) Completed in 0.1s --- Computing gateset for string- Iter 14 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 169.014, mu=0 --- Outer Iter 1: norm_f = 67.3174, mu=561.551 --- Outer Iter 2: norm_f = 67.0007, mu=187.184 --- Outer Iter 3: norm_f = 66.9969, mu=62.3945 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 66.9969 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 15 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 174.038, mu=0 --- Outer Iter 1: norm_f = 73.5921, mu=561.103 --- Outer Iter 2: norm_f = 73.2165, mu=187.034 --- Outer Iter 3: norm_f = 73.2119, mu=62.3448 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 73.2119 (192 data params - 56 model params = expected mean of 136; p-value = 0.999998) Completed in 0.1s --- Computing gateset for string- Iter 16 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 179.674, mu=0 --- Outer Iter 1: norm_f = 75.155, mu=561.91 --- Outer Iter 2: norm_f = 74.6695, mu=187.303 --- Outer Iter 3: norm_f = 74.664, mu=62.4344 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 74.664 (192 data params - 56 model params = expected mean of 136; p-value = 0.999996) Completed in 0.1s --- Computing gateset for string- Iter 17 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 169.998, mu=0 --- Outer Iter 1: norm_f = 69.9769, mu=561.677 --- Outer Iter 2: norm_f = 69.5522, mu=187.226 --- Outer Iter 3: norm_f = 69.5472, mu=62.4086 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 69.5472 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 18 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 175.008, mu=0 --- Outer Iter 1: norm_f = 64.0829, mu=578.54 --- Outer Iter 2: norm_f = 63.6182, mu=192.847 --- Outer Iter 3: norm_f = 63.6116, mu=64.2822 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 63.6116 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 19 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 179.802, mu=0 --- Outer Iter 1: norm_f = 80.3094, mu=560.761 --- Outer Iter 2: norm_f = 80.0114, mu=186.92 --- Outer Iter 3: norm_f = 80.0078, mu=62.3068 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.0078 (192 data params - 56 model params = expected mean of 136; p-value = 0.999965) Completed in 0.1s --- Computing gateset for string- Iter 20 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 183.462, mu=0 --- Outer Iter 1: norm_f = 80.3924, mu=561.212 --- Outer Iter 2: norm_f = 80.0247, mu=187.071 --- Outer Iter 3: norm_f = 80.0204, mu=62.3569 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.0204 (192 data params - 56 model params = expected mean of 136; p-value = 0.999965) Completed in 0.1s --- Computing gateset for string- Iter 21 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 208.242, mu=0 --- Outer Iter 1: norm_f = 90.1597, mu=566.807 --- Outer Iter 2: norm_f = 89.6519, mu=188.936 --- Outer Iter 3: norm_f = 89.6426, mu=62.9786 --- Outer Iter 4: norm_f = 89.6425, mu=20.9929 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 89.6425 (192 data params - 56 model params = expected mean of 136; p-value = 0.999244) Completed in 0.1s --- Computing gateset for string- Iter 22 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 190.285, mu=0 --- Outer Iter 1: norm_f = 88.6912, mu=567.362 --- Outer Iter 2: norm_f = 88.1986, mu=189.121 --- Outer Iter 3: norm_f = 88.1897, mu=63.0402 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 88.1897 (192 data params - 56 model params = expected mean of 136; p-value = 0.999499) Completed in 0.1s --- Computing gateset for string- Iter 23 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 189.732, mu=0 --- Outer Iter 1: norm_f = 76.0751, mu=568.3 --- Outer Iter 2: norm_f = 75.5931, mu=189.433 --- Outer Iter 3: norm_f = 75.5837, mu=63.1444 --- Outer Iter 4: norm_f = 75.5836, mu=21.0481 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 75.5836 (192 data params - 56 model params = expected mean of 136; p-value = 0.999994) Completed in 0.1s --- Computing gateset for string- Iter 24 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 182.264, mu=0 --- Outer Iter 1: norm_f = 84.0036, mu=561.587 --- Outer Iter 2: norm_f = 83.5628, mu=187.196 --- Outer Iter 3: norm_f = 83.5573, mu=62.3985 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 83.5573 (192 data params - 56 model params = expected mean of 136; p-value = 0.99988) Completed in 0.1s --- Computing gateset for string- Iter 25 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 191.738, mu=0 --- Outer Iter 1: norm_f = 78.0798, mu=560.677 --- Outer Iter 2: norm_f = 77.708, mu=186.892 --- Outer Iter 3: norm_f = 77.7036, mu=62.2974 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 77.7036 (192 data params - 56 model params = expected mean of 136; p-value = 0.999985) Completed in 0.1s --- Computing gateset for string- Iter 26 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 178.489, mu=0 --- Outer Iter 1: norm_f = 79.8012, mu=561.292 --- Outer Iter 2: norm_f = 79.4058, mu=187.097 --- Outer Iter 3: norm_f = 79.4011, mu=62.3658 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 79.4011 (192 data params - 56 model params = expected mean of 136; p-value = 0.999972) Completed in 0.1s --- Computing gateset for string- Iter 27 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 188.693, mu=0 --- Outer Iter 1: norm_f = 86.2978, mu=560.773 --- Outer Iter 2: norm_f = 85.9766, mu=186.924 --- Outer Iter 3: norm_f = 85.9726, mu=62.3081 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 85.9726 (192 data params - 56 model params = expected mean of 136; p-value = 0.999742) Completed in 0.1s --- Computing gateset for string- Iter 28 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 181.18, mu=0 --- Outer Iter 1: norm_f = 73.5305, mu=561.007 --- Outer Iter 2: norm_f = 73.1363, mu=187.002 --- Outer Iter 3: norm_f = 73.1311, mu=62.3341 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 73.1311 (192 data params - 56 model params = expected mean of 136; p-value = 0.999998) Completed in 0.1s --- Computing gateset for string- Iter 29 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 176.182, mu=0 --- Outer Iter 1: norm_f = 82.7516, mu=561.014 --- Outer Iter 2: norm_f = 82.421, mu=187.005 --- Outer Iter 3: norm_f = 82.4166, mu=62.3349 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 82.4166 (192 data params - 56 model params = expected mean of 136; p-value = 0.999919) Completed in 0.1s --- Computing gateset for string- Iter 30 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 173.274, mu=0 --- Outer Iter 1: norm_f = 71.665, mu=565.637 --- Outer Iter 2: norm_f = 71.2296, mu=188.546 --- Outer Iter 3: norm_f = 71.2217, mu=62.8486 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 71.2217 (192 data params - 56 model params = expected mean of 136; p-value = 0.999999) Completed in 0.1s --- Computing gateset for string- Iter 31 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 182.55, mu=0 --- Outer Iter 1: norm_f = 82.8134, mu=561.806 --- Outer Iter 2: norm_f = 82.4097, mu=187.269 --- Outer Iter 3: norm_f = 82.4043, mu=62.4229 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 82.4043 (192 data params - 56 model params = expected mean of 136; p-value = 0.999919) Completed in 0.1s --- Computing gateset for string- Iter 32 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 171.125, mu=0 --- Outer Iter 1: norm_f = 71.1207, mu=561.135 --- Outer Iter 2: norm_f = 70.7963, mu=187.045 --- Outer Iter 3: norm_f = 70.7918, mu=62.3483 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 70.7918 (192 data params - 56 model params = expected mean of 136; p-value = 0.999999) Completed in 0.1s --- Computing gateset for string- Iter 33 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 200.82, mu=0 --- Outer Iter 1: norm_f = 81.2744, mu=561.166 --- Outer Iter 2: norm_f = 80.9039, mu=187.055 --- Outer Iter 3: norm_f = 80.8997, mu=62.3518 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.8997 (192 data params - 56 model params = expected mean of 136; p-value = 0.999952) Completed in 0.1s --- Computing gateset for string- Iter 34 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 185.391, mu=0 --- Outer Iter 1: norm_f = 85.9617, mu=561.13 --- Outer Iter 2: norm_f = 85.6075, mu=187.043 --- Outer Iter 3: norm_f = 85.6033, mu=62.3478 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 85.6033 (192 data params - 56 model params = expected mean of 136; p-value = 0.999769) Completed in 0.1s --- Computing gateset for string- Iter 35 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 181.66, mu=0 --- Outer Iter 1: norm_f = 80.3693, mu=560.699 --- Outer Iter 2: norm_f = 80.0598, mu=186.9 --- Outer Iter 3: norm_f = 80.0558, mu=62.2999 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.0558 (192 data params - 56 model params = expected mean of 136; p-value = 0.999965) Completed in 0.1s --- Computing gateset for string- Iter 36 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 169.907, mu=0 --- Outer Iter 1: norm_f = 72.8692, mu=561.549 --- Outer Iter 2: norm_f = 72.5117, mu=187.183 --- Outer Iter 3: norm_f = 72.5072, mu=62.3944 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 72.5072 (192 data params - 56 model params = expected mean of 136; p-value = 0.999998) Completed in 0.1s --- Computing gateset for string- Iter 37 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 188.075, mu=0 --- Outer Iter 1: norm_f = 78.567, mu=569.109 --- Outer Iter 2: norm_f = 78.082, mu=189.703 --- Outer Iter 3: norm_f = 78.0728, mu=63.2343 --- Outer Iter 4: norm_f = 78.0727, mu=21.0781 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 78.0727 (192 data params - 56 model params = expected mean of 136; p-value = 0.999983) Completed in 0.1s --- Computing gateset for string- Iter 38 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 195.627, mu=0 --- Outer Iter 1: norm_f = 86.4938, mu=560.052 --- Outer Iter 2: norm_f = 86.0396, mu=186.684 --- Outer Iter 3: norm_f = 86.0334, mu=62.2281 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 86.0334 (192 data params - 56 model params = expected mean of 136; p-value = 0.999737) Completed in 0.1s --- Computing gateset for string- Iter 39 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 179.197, mu=0 --- Outer Iter 1: norm_f = 74.0564, mu=560.403 --- Outer Iter 2: norm_f = 73.7184, mu=186.801 --- Outer Iter 3: norm_f = 73.7142, mu=62.267 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 73.7142 (192 data params - 56 model params = expected mean of 136; p-value = 0.999997) Completed in 0.1s --- Computing gateset for string- Iter 40 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 185.01, mu=0 --- Outer Iter 1: norm_f = 73.1304, mu=573.963 --- Outer Iter 2: norm_f = 72.6534, mu=191.321 --- Outer Iter 3: norm_f = 72.6467, mu=63.7737 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 72.6467 (192 data params - 56 model params = expected mean of 136; p-value = 0.999998) Completed in 0.1s --- Computing gateset for string- Iter 41 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 180.199, mu=0 --- Outer Iter 1: norm_f = 80.8261, mu=560.961 --- Outer Iter 2: norm_f = 80.5169, mu=186.987 --- Outer Iter 3: norm_f = 80.5124, mu=62.329 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.5124 (192 data params - 56 model params = expected mean of 136; p-value = 0.999958) Completed in 0.1s --- Computing gateset for string- Iter 42 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 170.067, mu=0 --- Outer Iter 1: norm_f = 68.9394, mu=561.062 --- Outer Iter 2: norm_f = 68.6161, mu=187.021 --- Outer Iter 3: norm_f = 68.6122, mu=62.3402 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 68.6122 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 43 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 197.494, mu=0 --- Outer Iter 1: norm_f = 87.316, mu=561.195 --- Outer Iter 2: norm_f = 86.8534, mu=187.065 --- Outer Iter 3: norm_f = 86.8474, mu=62.355 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 86.8474 (192 data params - 56 model params = expected mean of 136; p-value = 0.999663) Completed in 0.1s --- Computing gateset for string- Iter 44 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 201.432, mu=0 --- Outer Iter 1: norm_f = 85.7008, mu=560.639 --- Outer Iter 2: norm_f = 85.3286, mu=186.88 --- Outer Iter 3: norm_f = 85.3242, mu=62.2932 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 85.3242 (192 data params - 56 model params = expected mean of 136; p-value = 0.999789) Completed in 0.1s --- Computing gateset for string- Iter 45 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 174.193, mu=0 --- Outer Iter 1: norm_f = 75.1212, mu=560.68 --- Outer Iter 2: norm_f = 74.7648, mu=186.893 --- Outer Iter 3: norm_f = 74.7599, mu=62.2977 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 74.7599 (192 data params - 56 model params = expected mean of 136; p-value = 0.999996) Completed in 0.1s --- Computing gateset for string- Iter 46 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 182.635, mu=0 --- Outer Iter 1: norm_f = 78.3553, mu=560.71 --- Outer Iter 2: norm_f = 78.0532, mu=186.903 --- Outer Iter 3: norm_f = 78.0496, mu=62.3011 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 78.0496 (192 data params - 56 model params = expected mean of 136; p-value = 0.999983) Completed in 0.1s --- Computing gateset for string- Iter 47 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 187.108, mu=0 --- Outer Iter 1: norm_f = 74.5645, mu=567.631 --- Outer Iter 2: norm_f = 74.024, mu=189.21 --- Outer Iter 3: norm_f = 74.012, mu=63.0701 --- Outer Iter 4: norm_f = 74.0119, mu=21.0234 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 74.0119 (192 data params - 56 model params = expected mean of 136; p-value = 0.999997) Completed in 0.1s --- Computing gateset for string- Iter 48 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 179.404, mu=0 --- Outer Iter 1: norm_f = 73.753, mu=563.687 --- Outer Iter 2: norm_f = 73.3692, mu=187.896 --- Outer Iter 3: norm_f = 73.364, mu=62.6319 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 73.364 (192 data params - 56 model params = expected mean of 136; p-value = 0.999998) Completed in 0.1s --- Computing gateset for string- Iter 49 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 177.125, mu=0 --- Outer Iter 1: norm_f = 71.0903, mu=561.003 --- Outer Iter 2: norm_f = 70.6859, mu=187.001 --- Outer Iter 3: norm_f = 70.6808, mu=62.3337 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 70.6808 (192 data params - 56 model params = expected mean of 136; p-value = 0.999999) Completed in 0.1s --- Computing gateset for string- Iter 50 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 193.472, mu=0 --- Outer Iter 1: norm_f = 83.8959, mu=560.886 --- Outer Iter 2: norm_f = 83.5131, mu=186.962 --- Outer Iter 3: norm_f = 83.5083, mu=62.3206 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 83.5083 (192 data params - 56 model params = expected mean of 136; p-value = 0.999882) Completed in 0.1s --- Computing gateset for string- Iter 51 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 196.926, mu=0 --- Outer Iter 1: norm_f = 85.7887, mu=560.917 --- Outer Iter 2: norm_f = 85.4423, mu=186.972 --- Outer Iter 3: norm_f = 85.4384, mu=62.3241 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 85.4384 (192 data params - 56 model params = expected mean of 136; p-value = 0.999781) Completed in 0.1s --- Computing gateset for string- Iter 52 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 171.213, mu=0 --- Outer Iter 1: norm_f = 70.8483, mu=560.752 --- Outer Iter 2: norm_f = 70.5351, mu=186.917 --- Outer Iter 3: norm_f = 70.5312, mu=62.3057 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 70.5312 (192 data params - 56 model params = expected mean of 136; p-value = 0.999999) Completed in 0.1s --- Computing gateset for string- Iter 53 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 167.351, mu=0 --- Outer Iter 1: norm_f = 65.5339, mu=560.966 --- Outer Iter 2: norm_f = 65.2197, mu=186.989 --- Outer Iter 3: norm_f = 65.2159, mu=62.3296 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 65.2159 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 54 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 200.43, mu=0 --- Outer Iter 1: norm_f = 85.9283, mu=561.812 --- Outer Iter 2: norm_f = 85.4431, mu=187.271 --- Outer Iter 3: norm_f = 85.4366, mu=62.4235 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 85.4366 (192 data params - 56 model params = expected mean of 136; p-value = 0.999781) Completed in 0.1s --- Computing gateset for string- Iter 55 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 183.778, mu=0 --- Outer Iter 1: norm_f = 75.8527, mu=561.471 --- Outer Iter 2: norm_f = 75.3869, mu=187.157 --- Outer Iter 3: norm_f = 75.3814, mu=62.3856 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 75.3814 (192 data params - 56 model params = expected mean of 136; p-value = 0.999994) Completed in 0.1s --- Computing gateset for string- Iter 56 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 185.672, mu=0 --- Outer Iter 1: norm_f = 83.8919, mu=561.276 --- Outer Iter 2: norm_f = 83.5025, mu=187.092 --- Outer Iter 3: norm_f = 83.4973, mu=62.364 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 83.4973 (192 data params - 56 model params = expected mean of 136; p-value = 0.999883) Completed in 0.1s --- Computing gateset for string- Iter 57 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 198.046, mu=0 --- Outer Iter 1: norm_f = 88.5508, mu=560.355 --- Outer Iter 2: norm_f = 88.2204, mu=186.785 --- Outer Iter 3: norm_f = 88.2165, mu=62.2617 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 88.2165 (192 data params - 56 model params = expected mean of 136; p-value = 0.999495) Completed in 0.1s --- Computing gateset for string- Iter 58 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 193.951, mu=0 --- Outer Iter 1: norm_f = 78.9849, mu=572.356 --- Outer Iter 2: norm_f = 78.4328, mu=190.785 --- Outer Iter 3: norm_f = 78.4243, mu=63.5951 --- Outer Iter 4: norm_f = 78.4242, mu=21.1984 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 78.4242 (192 data params - 56 model params = expected mean of 136; p-value = 0.999981) Completed in 0.1s --- Computing gateset for string- Iter 59 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 176.262, mu=0 --- Outer Iter 1: norm_f = 79.4752, mu=561.374 --- Outer Iter 2: norm_f = 79.1119, mu=187.125 --- Outer Iter 3: norm_f = 79.1074, mu=62.3748 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 79.1074 (192 data params - 56 model params = expected mean of 136; p-value = 0.999975) Completed in 0.1s --- Computing gateset for string- Iter 60 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 185.973, mu=0 --- Outer Iter 1: norm_f = 76.2204, mu=566.527 --- Outer Iter 2: norm_f = 75.8328, mu=188.842 --- Outer Iter 3: norm_f = 75.8274, mu=62.9475 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 75.8274 (192 data params - 56 model params = expected mean of 136; p-value = 0.999993) Completed in 0.1s --- Computing gateset for string- Iter 61 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 173.792, mu=0 --- Outer Iter 1: norm_f = 67.9979, mu=560.708 --- Outer Iter 2: norm_f = 67.6852, mu=186.903 --- Outer Iter 3: norm_f = 67.6815, mu=62.3008 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 67.6815 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 62 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 194.217, mu=0 --- Outer Iter 1: norm_f = 83.4144, mu=569.596 --- Outer Iter 2: norm_f = 82.8046, mu=189.865 --- Outer Iter 3: norm_f = 82.79, mu=63.2884 --- Outer Iter 4: norm_f = 82.7898, mu=21.0961 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 82.7898 (192 data params - 56 model params = expected mean of 136; p-value = 0.999908) Completed in 0.1s --- Computing gateset for string- Iter 63 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 177.747, mu=0 --- Outer Iter 1: norm_f = 79.2965, mu=562.883 --- Outer Iter 2: norm_f = 78.8561, mu=187.628 --- Outer Iter 3: norm_f = 78.8484, mu=62.5425 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 78.8484 (192 data params - 56 model params = expected mean of 136; p-value = 0.999977) Completed in 0.1s --- Computing gateset for string- Iter 64 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 186.668, mu=0 --- Outer Iter 1: norm_f = 80.7836, mu=560.593 --- Outer Iter 2: norm_f = 80.4311, mu=186.864 --- Outer Iter 3: norm_f = 80.4268, mu=62.2881 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 80.4268 (192 data params - 56 model params = expected mean of 136; p-value = 0.99996) Completed in 0.1s --- Computing gateset for string- Iter 65 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 184.447, mu=0 --- Outer Iter 1: norm_f = 79.4695, mu=560.408 --- Outer Iter 2: norm_f = 79.1113, mu=186.803 --- Outer Iter 3: norm_f = 79.1066, mu=62.2676 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 79.1066 (192 data params - 56 model params = expected mean of 136; p-value = 0.999975) Completed in 0.1s --- Computing gateset for string- Iter 66 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 179.585, mu=0 --- Outer Iter 1: norm_f = 76.3909, mu=561.062 --- Outer Iter 2: norm_f = 76.0713, mu=187.021 --- Outer Iter 3: norm_f = 76.0676, mu=62.3402 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 76.0676 (192 data params - 56 model params = expected mean of 136; p-value = 0.999992) Completed in 0.1s --- Computing gateset for string- Iter 67 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 178.891, mu=0 --- Outer Iter 1: norm_f = 79.4422, mu=561.274 --- Outer Iter 2: norm_f = 79.0984, mu=187.091 --- Outer Iter 3: norm_f = 79.0943, mu=62.3638 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 79.0943 (192 data params - 56 model params = expected mean of 136; p-value = 0.999975) Completed in 0.1s --- Computing gateset for string- Iter 68 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 170.416, mu=0 --- Outer Iter 1: norm_f = 66.0714, mu=563.592 --- Outer Iter 2: norm_f = 65.758, mu=187.864 --- Outer Iter 3: norm_f = 65.7537, mu=62.6214 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 65.7537 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 69 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 191.713, mu=0 --- Outer Iter 1: norm_f = 77.1352, mu=567.893 --- Outer Iter 2: norm_f = 76.7035, mu=189.298 --- Outer Iter 3: norm_f = 76.6945, mu=63.0992 --- Outer Iter 4: norm_f = 76.6944, mu=21.0331 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 76.6944 (192 data params - 56 model params = expected mean of 136; p-value = 0.99999) Completed in 0.1s --- Computing gateset for string- Iter 70 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 184.294, mu=0 --- Outer Iter 1: norm_f = 86.5632, mu=561.345 --- Outer Iter 2: norm_f = 86.2319, mu=187.115 --- Outer Iter 3: norm_f = 86.2276, mu=62.3717 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 86.2276 (192 data params - 56 model params = expected mean of 136; p-value = 0.99972) Completed in 0.1s --- Computing gateset for string- Iter 71 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 180.394, mu=0 --- Outer Iter 1: norm_f = 83.7641, mu=561.378 --- Outer Iter 2: norm_f = 83.4021, mu=187.126 --- Outer Iter 3: norm_f = 83.3976, mu=62.3753 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 83.3976 (192 data params - 56 model params = expected mean of 136; p-value = 0.999887) Completed in 0.1s --- Computing gateset for string- Iter 72 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 168.492, mu=0 --- Outer Iter 1: norm_f = 68.2857, mu=561.272 --- Outer Iter 2: norm_f = 67.952, mu=187.091 --- Outer Iter 3: norm_f = 67.9474, mu=62.3636 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 67.9474 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 73 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 182.327, mu=0 --- Outer Iter 1: norm_f = 66.4596, mu=577.926 --- Outer Iter 2: norm_f = 66.0303, mu=192.642 --- Outer Iter 3: norm_f = 66.0214, mu=64.214 --- Outer Iter 4: norm_f = 66.0212, mu=21.4047 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 66.0212 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 74 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 176.008, mu=0 --- Outer Iter 1: norm_f = 76.3108, mu=560.916 --- Outer Iter 2: norm_f = 75.9009, mu=186.972 --- Outer Iter 3: norm_f = 75.8958, mu=62.324 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 75.8958 (192 data params - 56 model params = expected mean of 136; p-value = 0.999993) Completed in 0.1s --- Computing gateset for string- Iter 75 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 192.784, mu=0 --- Outer Iter 1: norm_f = 87.4122, mu=564.052 --- Outer Iter 2: norm_f = 86.9407, mu=188.017 --- Outer Iter 3: norm_f = 86.9312, mu=62.6724 --- Outer Iter 4: norm_f = 86.9312, mu=20.8908 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 86.9312 (192 data params - 56 model params = expected mean of 136; p-value = 0.999654) Completed in 0.1s --- Computing gateset for string- Iter 76 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 165.785, mu=0 --- Outer Iter 1: norm_f = 65.319, mu=561.066 --- Outer Iter 2: norm_f = 65.0074, mu=187.022 --- Outer Iter 3: norm_f = 65.0038, mu=62.3406 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 65.0038 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s --- Computing gateset for string- Iter 77 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 190.919, mu=0 --- Outer Iter 1: norm_f = 87.7613, mu=560.041 --- Outer Iter 2: norm_f = 87.3731, mu=186.68 --- Outer Iter 3: norm_f = 87.3679, mu=62.2267 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 87.3679 (192 data params - 56 model params = expected mean of 136; p-value = 0.999606) Completed in 0.1s --- Computing gateset for string- Iter 78 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 174.043, mu=0 --- Outer Iter 1: norm_f = 73.0095, mu=561.178 --- Outer Iter 2: norm_f = 72.5772, mu=187.059 --- Outer Iter 3: norm_f = 72.5718, mu=62.3531 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 72.5718 (192 data params - 56 model params = expected mean of 136; p-value = 0.999998) Completed in 0.1s --- Computing gateset for string- Iter 79 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 183.293, mu=0 --- Outer Iter 1: norm_f = 86.0472, mu=560.969 --- Outer Iter 2: norm_f = 85.7531, mu=186.99 --- Outer Iter 3: norm_f = 85.7495, mu=62.3298 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 85.7495 (192 data params - 56 model params = expected mean of 136; p-value = 0.999759) Completed in 0.1s --- Computing gateset for string- Iter 80 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 204.505, mu=0 --- Outer Iter 1: norm_f = 94.8523, mu=565.745 --- Outer Iter 2: norm_f = 94.3282, mu=188.582 --- Outer Iter 3: norm_f = 94.319, mu=62.8605 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 94.319 (192 data params - 56 model params = expected mean of 136; p-value = 0.997468) Completed in 0.1s --- Computing gateset for string- Iter 81 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 180.614, mu=0 --- Outer Iter 1: norm_f = 72.2309, mu=567.37 --- Outer Iter 2: norm_f = 71.8053, mu=189.123 --- Outer Iter 3: norm_f = 71.798, mu=63.0411 --- Outer Iter 4: norm_f = 71.7979, mu=21.0137 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 71.7979 (192 data params - 56 model params = expected mean of 136; p-value = 0.999999) Completed in 0.1s --- Computing gateset for string- Iter 82 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 183.411, mu=0 --- Outer Iter 1: norm_f = 70.4087, mu=572.3 --- Outer Iter 2: norm_f = 70.0232, mu=190.767 --- Outer Iter 3: norm_f = 70.0157, mu=63.5889 --- Outer Iter 4: norm_f = 70.0156, mu=21.1963 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 70.0156 (192 data params - 56 model params = expected mean of 136; p-value = 0.999999) Completed in 0.1s --- Computing gateset for string- Iter 83 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 178.958, mu=0 --- Outer Iter 1: norm_f = 78.0048, mu=561.067 --- Outer Iter 2: norm_f = 77.6976, mu=187.022 --- Outer Iter 3: norm_f = 77.694, mu=62.3408 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 77.694 (192 data params - 56 model params = expected mean of 136; p-value = 0.999986) Completed in 0.1s --- Computing gateset for string- Iter 84 of 84 ---: --- LGST --- Singular values of I_tilde (truncating to first 4 of 6) = 2.99042918449 0.834913690109 0.671124159739 0.664754312975 0.0224691987452 0.0112970484379 Singular values of target I_tilde (truncating to first 4 of 6) = 3.0 1.0 1.0 1.0 2.46365884775e-16 9.80956846773e-17 --- Minimum Chi^2 GST --- bulk_evaltree: created initial tree (192 strs) in 0s bulk_evaltree: split tree (1 subtrees) in 0s Created evaluation tree with 1 subtrees. Will divide 1 procs into 1 (subtree-processing) groups of ~1 procs each, to distribute over 72 params (taken as 1 param groups of ~72 params). --- Outer Iter 0: norm_f = 169.884, mu=0 --- Outer Iter 1: norm_f = 68.808, mu=572.704 --- Outer Iter 2: norm_f = 68.291, mu=190.901 --- Outer Iter 3: norm_f = 68.28, mu=63.6338 --- Outer Iter 4: norm_f = 68.2799, mu=21.2113 Least squares message = Both actual and predicted relative reductions in the sum of squares are at most 1e-06 Sum of Chi^2 = 68.2799 (192 data params - 56 model params = expected mean of 136; p-value = 1) Completed in 0.1s
pplt.direct_chi2_boxplot( Xs, Ys, gateStrDict, ds, directLSGST, strs, xlbl, ylbl,
scale=1.0, boxLabels=True )
<pygsti.report.figure.ReportFigure at 0x10dd69908>
pplt.direct_deviation_boxplot(Xs, Ys, gateStrDict, ds, gs_mc2gst, directLSGST, xlbl, ylbl, prec=4,
scale=1.0, boxLabels=True)
<pygsti.report.figure.ReportFigure at 0x10a7e4c88>
pplt.direct2x_comp_boxplot( Xs, Ys, gateStrDict, ds, directLSGST, strs, xlbl, ylbl,
scale=1.0, boxLabels=True )
<pygsti.report.figure.ReportFigure at 0x10e603b00>
pplt.small_eigval_err_rate_boxplot(Xs, Ys, gateStrDict, ds, directLSGST, xlbl, ylbl,
scale=1.0, boxLabels=True)
<pygsti.report.figure.ReportFigure at 0x10af64400>
whack = pygsti.objects.GateString( ('Gi',)*256 )
fullGatestringList = pygsti.io.load_gatestring_list("tutorial_files/Example_LSGSTlist256.txt")
pplt.whack_a_chi2_mole_boxplot( whack, fullGatestringList, Xs, Ys, gateStrDict, ds, gs_mc2gst, strs, xlbl, ylbl,
scale=1.0, sumUp=False, histogram=True )
<pygsti.report.figure.ReportFigure at 0x10ca9b588>
pplt.gof_boxplot_keyplot(strs)
<pygsti.report.figure.ReportFigure at 0x10e402940>
pplt.gate_matrix_boxplot(gs_target['Gx'], mxBasis="gm", mxBasisDims=2)
<pygsti.report.figure.ReportFigure at 0x10e45ea58>
pplt.polar_eigenval_plot(gs_mc2gst['Gx'], gs_target['Gx'], size=(4,4), title="Gx")
<pygsti.report.figure.ReportFigure at 0x10b47dc50>
pplt.choi_eigenvalue_barplot([2,4,5,7,-2,-3],[1,2,1,1,1,1])
<pygsti.report.figure.ReportFigure at 0x10b40aa90>