root-tmva-6.34.08-1.el10_1$>V)<bUl >Ae?Ud   D (  2   < A BFJGNzNQR,LS\L[L(](8]459^5:i5By.Gy8H|IXYZ[\]`^-bd]ebfgljtuv<wxXy;Croot-tmva6.34.081.el10_1Toolkit for multivariate data analysisThe Toolkit for Multivariate Analysis (TMVA) provides a ROOT-integrated environment for the parallel processing and evaluation of MVA techniques to discriminate signal from background samples. It presently includes (ranked by complexity): * Rectangular cut optimization * Correlated likelihood estimator (PDE approach) * Multi-dimensional likelihood estimator (PDE - range-search approach) * Fisher (and Mahalanobis) discriminant * H-Matrix (chi-squared) estimator * Artificial Neural Network (two different implementations) * Boosted Decision Trees The TMVA package includes an implementation for each of these discrimination techniques, their training and testing (performance evaluation). In addition all these methods can be tested in parallel, and hence their performance on a particular data set may easily be compared.hbuildhw-x86-09.iad2.fedoraproject.orgFedora ProjectFedora ProjectBSD-3-ClauseFedora ProjectUnspecifiedhttps://root.cern/linuxx86_64o!m8! :$(n V*y:zF(ZA;W6(z1*=fAq@(2j!o4(*U($-!0W 1/62  G0 0+ C*=Cf#%y! ;.>97T "+6&*&q5z&w ]q^1?-1*  I TWwK"=m"(/^%  #8  A  ) * k m  99f F MqU m$ -hBA큤A큤AA큤A큤A큤A큤AA큤A큤hDg&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&hDg&g&g&hDhDg&g&g&g&hDg&g&g&g&g&hDg&g&g&g&g&g&g&g&g&g&g&g&g&g&hDg&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&g&hDhDhDhDhDhDhDhDhDg&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../../../../usr/lib64/root/libTMVA.so.6.34.08libTMVA.so.6.34libTMVA.so.6.34.08rootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootroot-6.34.08-1.el10_1.src.rpmlibTMVA.so.6.34()(64bit)root-tmvaroot-tmva(x86-64)@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@    libCore.so.6.34()(64bit)libGpad.so.6.34()(64bit)libGraf.so.6.34()(64bit)libHist.so.6.34()(64bit)libImt.so.6.34()(64bit)libMLP.so.6.34()(64bit)libMathCore.so.6.34()(64bit)libMatrix.so.6.34()(64bit)libMinuit.so.6.34()(64bit)libMultiProc.so.6.34()(64bit)libNet.so.6.34()(64bit)libRIO.so.6.34()(64bit)libTMVA.so.6.34()(64bit)libTree.so.6.34()(64bit)libTreePlayer.so.6.34()(64bit)libXMLIO.so.6.34()(64bit)libc.so.6()(64bit)libc.so.6(GLIBC_2.14)(64bit)libc.so.6(GLIBC_2.2.5)(64bit)libc.so.6(GLIBC_2.3.4)(64bit)libc.so.6(GLIBC_2.32)(64bit)libc.so.6(GLIBC_2.34)(64bit)libc.so.6(GLIBC_2.38)(64bit)libc.so.6(GLIBC_2.4)(64bit)libc.so.6(GLIBC_ABI_DT_RELR)(64bit)libgcc_s.so.1()(64bit)libgcc_s.so.1(GCC_3.0)(64bit)libgslcblas.so.0()(64bit)libm.so.6()(64bit)libm.so.6(GLIBC_2.2.5)(64bit)libm.so.6(GLIBC_2.27)(64bit)libm.so.6(GLIBC_2.29)(64bit)libm.so.6(GLIBC_2.38)(64bit)libstdc++.so.6()(64bit)libstdc++.so.6(CXXABI_1.3)(64bit)libstdc++.so.6(CXXABI_1.3.11)(64bit)libstdc++.so.6(CXXABI_1.3.13)(64bit)libstdc++.so.6(CXXABI_1.3.2)(64bit)libstdc++.so.6(CXXABI_1.3.3)(64bit)libstdc++.so.6(CXXABI_1.3.7)(64bit)libstdc++.so.6(CXXABI_1.3.8)(64bit)libstdc++.so.6(CXXABI_1.3.9)(64bit)libstdc++.so.6(GLIBCXX_3.4)(64bit)libstdc++.so.6(GLIBCXX_3.4.11)(64bit)libstdc++.so.6(GLIBCXX_3.4.14)(64bit)libstdc++.so.6(GLIBCXX_3.4.15)(64bit)libstdc++.so.6(GLIBCXX_3.4.17)(64bit)libstdc++.so.6(GLIBCXX_3.4.18)(64bit)libstdc++.so.6(GLIBCXX_3.4.19)(64bit)libstdc++.so.6(GLIBCXX_3.4.20)(64bit)libstdc++.so.6(GLIBCXX_3.4.21)(64bit)libstdc++.so.6(GLIBCXX_3.4.22)(64bit)libstdc++.so.6(GLIBCXX_3.4.26)(64bit)libstdc++.so.6(GLIBCXX_3.4.29)(64bit)libstdc++.so.6(GLIBCXX_3.4.30)(64bit)libstdc++.so.6(GLIBCXX_3.4.32)(64bit)libstdc++.so.6(GLIBCXX_3.4.5)(64bit)libstdc++.so.6(GLIBCXX_3.4.9)(64bit)root-core(x86-64)root-graf(x86-64)root-graf-gpad(x86-64)root-hist(x86-64)root-io(x86-64)root-io-xml(x86-64)root-mathcore(x86-64)root-matrix(x86-64)root-minuit(x86-64)root-mlp(x86-64)root-multiproc(x86-64)root-net(x86-64)root-tree(x86-64)root-tree-player(x86-64)rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsZstd)6.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_16.34.08-1.el10_13.0.4-14.6.0-14.0-15.4.18-14.19.1.1h@g@gg0@g0@g^@g g@gg@ggkgG g5@fX@ff@f@fU@f@fqvfp%@fffe@fdGf]@fDf.:@f*Ef'ffg@e6@eeeXe@e)e(e4@e|?ek@eaeC@eB=e*d@dϋ@ds@d@d}dX@dBzMattias Ellert - 6.34.08-1Mattias Ellert - 6.34.06-1Mattias Ellert - 6.34.04-2Mattias Ellert - 6.34.04-1Benjamin A. Beasley - 6.34.02-8Orion Poplawski - 6.34.02-7Björn Esser - 6.34.02-6Mattias Ellert - 6.34.02-5Fedora Release Engineering - 6.34.02-4Mattias Ellert - 6.34.02-3Mattias Ellert - 6.34.02-2Mattias Ellert - 6.34.02-1Richard W.M. Jones - 6.32.08-2Mattias Ellert - 6.32.08-1Mattias Ellert - 6.32.06-1Mattias Ellert - 6.32.04-2Mattias Ellert - 6.32.04-1Mattias Ellert - 6.32.02-4Fedora Release Engineering - 6.32.02-3Mattias Ellert - 6.32.02-2Mattias Ellert - 6.32.02-1Mattias Ellert - 6.32.00-5Mattias Ellert - 6.32.00-4Python Maint - 6.32.00-3Mattias Ellert - 6.32.00-2Mattias Ellert - 6.32.00-1Mattias Ellert - 6.30.06-5Benjamin A. Beasley - 6.30.06-4Iñaki Úcar - 6.30.06-3Mattias Ellert - 6.30.06-2Mattias Ellert - 6.30.06-1Mattias Ellert - 6.30.04-2Mattias Ellert - 6.30.04-1Mattias Ellert - 6.30.02-9Mattias Ellert - 6.30.02-8Fedora Release Engineering - 6.30.02-7Jonathan Wakely - 6.30.02-6Mattias Ellert - 6.30.02-5Mattias Ellert - 6.30.02-4Mattias Ellert - 6.30.02-3Mattias Ellert - 6.30.02-2Mattias Ellert - 6.30.02-1Mattias Ellert - 6.30.00-1Mattias Ellert - 6.28.08-3Mattias Ellert - 6.28.08-2Mattias Ellert - 6.28.08-1Mattias Ellert - 6.28.06-1Mattias Ellert - 6.28.04-5Fedora Release Engineering - 6.28.04-4Mattias Ellert - 6.28.04-3Orion Poplawski - 6.28.04-2Mattias Ellert - 6.28.04-1Iñaki Úcar - 6.28.02-3- Update to 6.34.08- Update to 6.34.06 - Drop patches accepted upstream or previously backported- Fix roofit/roostats test failures with gcc 15- Update to 6.34.04 - Drop patches accepted upstream or previously backported- Rebuilt for libarrow 19- Rebuild with gsl 2.8- Add explicit BR: libxcrypt-devel- Apply patches to fix build with gcc 15 - Enable roofit-multiprocess for EPEL 10 (dependencies available) - Rebuild for pythia8 8.3.13- Rebuilt for https://fedoraproject.org/wiki/Fedora_42_Mass_Rebuild- Don't add dependencies on root-roofit-multiprocess and root-roofit-zmq to root-roofit-core for EPEL builds- Adjust stressGraphics.ref - Build for EPEL 10 - Disable the R interface for EPEL 10 (R not yet abailable) - Enable uring support for EPEL 9 (supported in kernel since RHEL 9.3)- Update to 6.34.02 - Build CLAD plugin - Removed package: root-roofit-dataframe-helpers- Rebuild for libarrow 18- Update to 6.32.08- Update to 6.32.06 - Split out ROOT 7 dependent parts of root-browsable to a separate package - Split out ROOT 7 dependent parts of root-browserv7 to a separate package- Re-enable Qt5 Web display for Fedora 41+ (qt5-qtwebengine fixed)- Update to 6.32.04 - Drop patches accepted upstream - Disable Qt5 Web display for Fedora 41+ (broken qt5-qtwebengine package)- Update ROOT's R interface for Rcpp 1.0.13- Rebuilt for https://fedoraproject.org/wiki/Fedora_41_Mass_Rebuild- Add openssl-devel-engine build requirement on Fedora 41+ - Fixes for TUri class (PCRE2 compatibility) - Fix test failure with tbb 2021.13.0- Update to 6.32.02 - Drop patches accepted upstream- Add dependency on liburing-devel to root-io - Exclude failing tutorial-tmva-RBatchGenerator_filters_vectors-py test on aarch64 (Fedora 40+)- Backport fix for failing test with Python 3.13- Rebuilt for Python 3.13- Python 3.13 compatibility- Update to 6.32.00 - Drop EPEL 8 build (now requires Python >= 3.7 and tbb >= 2020) - Dropped patches: 12 - New patches: 6 - The JsMVA python module is now a submodule of the ROOT python module - The notebook package was merged with the JupyROOT package- Rebuilt for libarrow.so.1601 - Improved fontconfig support- Do not test with Pandas on 32-bit architectures- R-maint-sig mass rebuild- Rebuilt for libarrow.so.1600- Update to 6.30.06- Support StandardSymbolsPS.otf- Update to 6.30.04 - Drop patch root-adjust-test-for-failures-on-aarch64-ppc64le-s390x.patch (accepted upstrem) - Exclude failing TClingDataMemberInfo.Offset test on s390x- Rebuilt for libarrow.so.1500- Exclude failing gtest-math-matrix-test-testMatrixTSparse on Fedora 40 (aarch64, ppc64le and s390x)- Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild- Rebuilt for TBB 2021.11- Define PYTHON_EXECUTABLE when calling cmake (Fixes EPEL 8 build)- Adjust tests for zlib-ng- Use "standardsymbolsps" instead of "symbol" when searching for the Symbols font in order to not find Noto Symbols instead- Exclude pyunittests-pyroot-numbadeclare test- Update to 6.30.02- Update to 6.30.00 - Removed subpackages: root-io-gfal and root-roofit-common - Dropped patches: 6 - New patches: 6- Rebuilt for libarrow.so.1400- Enable RooFit::MultiProcess on Fedora 40+- Update to 6.28.08 - New subpackage root-tmva-utils (split off from root-tmva) - Port to pcre2- Update to 6.28.06 - Drop patches root-testRooAbsL-test-compares-two-doubles-and-fails.patch and root-strlcpy.patch (fixed upstream)- Rebuilt for libarrow.so.1300- Rebuilt for https://fedoraproject.org/wiki/Fedora_39_Mass_Rebuild- Fix build on Fedora 39+ where glibc has strlcpy and strlcat - Enable build of root-gui-qt6webdisplay sub-package if Qt6 is available- Rebuilt for Python 3.12- Update to 6.28.04 - Drop patch root-RF-Rewrite-RooProdPdf.TestGetPartIntList-unit-test.patch (previously backported) - Enable Apache Arrow support (64 bit architectures only)- R-maint-sig mass rebuildroot-tmva  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~6.34.08-1.el10_16.34.08-1.el10_16.28.08 TMVABDTEventWrapper.hBinarySearchTree.hBinarySearchTreeNode.hBinaryTree.hCCPruner.hCCTreeWrapper.hClassInfo.hClassification.hClassifierFactory.hConfig.hConfigurable.hConvergenceTest.hCostComplexityPruneTool.hCrossEntropy.hCrossValidation.hCvSplit.hDNNAdadelta.hAdagrad.hAdam.hArchitecturesCpuCpu.hCpuBuffer.hCpuMatrix.hCpuTensor.hReferenceReference.hDataLoader.hTensorDataLoader.hTCudnn.hBatchNormLayer.hCNNContextHandles.hConvLayer.hMaxPoolLayer.hDLMinimizers.hDataLoader.hDeepNet.hDenseLayer.hFunctions.hGeneralLayer.hLayer.hMinimizers.hNet.hOptimizer.hRMSProp.hRNNGRULayer.hLSTMLayer.hRNNLayer.hReshapeLayer.hSGD.hTensorDataLoader.hDataInputHandler.hDataLoader.hDataSet.hDataSetFactory.hDataSetInfo.hDataSetManager.hDecisionTree.hDecisionTreeNode.hEnvelope.hEvent.hExecutor.hExpectedErrorPruneTool.hFactory.hFitterBase.hGeneticAlgorithm.hGeneticFitter.hGeneticGenes.hGeneticPopulation.hGeneticRange.hGiniIndex.hGiniIndexWithLaplace.hHyperParameterOptimisation.hIFitterTarget.hIMethod.hIPruneTool.hInterval.hKDEKernel.hLDA.hLogInterval.hLossFunction.hMCFitter.hMethodANNBase.hMethodBDT.hMethodBase.hMethodBayesClassifier.hMethodBoost.hMethodCFMlpANN.hMethodCFMlpANN_Utils.hMethodCFMlpANN_def.hMethodCategory.hMethodCompositeBase.hMethodCrossValidation.hMethodCuts.hMethodDL.hMethodDNN.hMethodDT.hMethodFDA.hMethodFisher.hMethodHMatrix.hMethodKNN.hMethodLD.hMethodLikelihood.hMethodMLP.hMethodPDEFoam.hMethodPDERS.hMethodRuleFit.hMethodSVM.hMethodTMlpANN.hMinuitFitter.hMinuitWrapper.hMisClassificationError.hModulekNN.hMonitoring.hMsgLogger.hNeuralNet.hNeuralNet.iccNode.hNodekNN.hOptimizeConfigParameters.hOption.hOptionMap.hPDEFoam.hPDEFoamCell.hPDEFoamDecisionTree.hPDEFoamDecisionTreeDensity.hPDEFoamDensityBase.hPDEFoamDiscriminant.hPDEFoamDiscriminantDensity.hPDEFoamEvent.hPDEFoamEventDensity.hPDEFoamKernelBase.hPDEFoamKernelGauss.hPDEFoamKernelLinN.hPDEFoamKernelTrivial.hPDEFoamMultiTarget.hPDEFoamTarget.hPDEFoamTargetDensity.hPDEFoamVect.hPDF.hPattern.hQuickMVAProbEstimator.hROCCalc.hROCCurve.hRTensor.hxxRanking.hReader.hRegressionVariance.hResults.hResultsClassification.hResultsMulticlass.hResultsRegression.hRootFinder.hRule.hRuleCut.hRuleEnsemble.hRuleFit.hRuleFitAPI.hRuleFitParams.hSVEvent.hSVKernelFunction.hSVKernelMatrix.hSVWorkingSet.hSdivSqrtSplusB.hSeparationBase.hSimulatedAnnealing.hSimulatedAnnealingFitter.hTActivation.hTActivationChooser.hTActivationIdentity.hTActivationRadial.hTActivationReLU.hTActivationSigmoid.hTActivationTanh.hTNeuron.hTNeuronInput.hTNeuronInputAbs.hTNeuronInputChooser.hTNeuronInputSqSum.hTNeuronInputSum.hTSpline1.hTSpline2.hTSynapse.hTimer.hTools.hTrainingHistory.hTransformationHandler.hTypes.hVarTransformHandler.hVariableDecorrTransform.hVariableGaussTransform.hVariableIdentityTransform.hVariableImportance.hVariableInfo.hVariableNormalizeTransform.hVariablePCATransform.hVariableRearrangeTransform.hVariableTransform.hVariableTransformBase.hVersion.hVolume.h.build-idc4462b51848fdc9232e27125bf6a3ece7c33f6aclibTMVA.rootmaplibTMVA.solibTMVA.so.6.34libTMVA.so.6.34.08libTMVA_rdict.pcmroot-tmvaLICENSE/usr/include/root//usr/include/root/TMVA//usr/include/root/TMVA/DNN//usr/include/root/TMVA/DNN/Architectures//usr/include/root/TMVA/DNN/Architectures/Cpu//usr/include/root/TMVA/DNN/Architectures/Reference//usr/include/root/TMVA/DNN/CNN//usr/include/root/TMVA/DNN/RNN//usr/lib//usr/lib/.build-id//usr/lib/.build-id/c4//usr/lib64/root//usr/share/licenses//usr/share/licenses/root-tmva/-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wno-complain-wrong-lang -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64-v3 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 drpmzstd19x86_64-redhat-linux-gnudirectoryC++ source, ASCII textELF 64-bit LSB shared object, x86-64, version 1 (GNU/Linux), dynamically linked, BuildID[sha1]=c4462b51848fdc9232e27125bf6a3ece7c33f6ac, strippedASCII text:R PRR RRRRRRRRRRRR/R7R(R.R8R,R0R5R#R3R'R4R&R6R$R-R+R9R"R1R%R2R*R)RRRRR RRRRRRR R R RRR!RRRhttps://bugz.fedoraproject.org/rootutf-841c8f95314579c30003fe13b1ddbcc1dd1e89b8b5f32cd4e3aab9b651a721f4f603aab7386846f08e832ab3e1906d24fc5f8d4670822c9a3cabfaa0a98dff6b0?(/hl\ DLT3root-tmva-6.34.06-1.el10_1LTI".$0\5G5j]Sl!08> 6 _ ܉3!}Nbh&3م~Xh dQD,; ?o΍XBUcp>Yk8bKtcuUVGH'+P35U&TR#([I?zQ*wnRhG|=N[TZ>uKjqHE';"rz7Ǜ)J8P? *אL`  =D6e.Iߗ%[yv1B`^2 s/C/94@:5Zgܰ[ H1ezU}yK"r<^h)f/uoiL%җ"H F㳼BmYt=YPZn=j$IEEIMEHc]IgKRoAm[ng4qjK53442951b0dc56cd4507d137dec54d7fb20132d066738c4a9a8d47b01d410ae7d489dcea304e86157da65bd644136de2e198b24b!r"ZM(`{ ]=-{h{BZh91AY&SYe~߿m?p.ifU$ zKȊ#/@Ą T&Q(!(Xl`*(6. "`XذWy,6s=,r@0P@31%"E X- IbPOG2]V|@v|T$ @"!DtZbr+99X^nr g,F.&^d=Bd 7}ݠnoU),4$J"hM^OrwM%A:>O,X^hHEUD^~VXJsJ #v m /MI2hw-jW |Z5g/ݝF({bGaWIŷ!zPA#&%՘lK\99'\>>=\pFVD:K̼:!5Gס:.L\9]XWhDtUۤEr=_J$GB&~CjuJB)RhJP9I%9?i4Z3UMѭuAF䩣[:_VDf EI* |e`W?wx?;D$D@%sj #~3O𙾃$<渡 1K3S bM uP~CRaƉf5fbRIjyܘY'tb; [ ^NҲٓ?)44$H#-"_ >κNTzZ;U-ƝOPD3Q&5-U;Mg&1XD@D;GTBV&D?L??iW`X])*qdX?u4zw <̈8IVT@'0Ed0 0?H  | =fWYn gT1\~TgD3 {pV51mfgu_6ՕɤRe*qU  (PXpe]Ԯ(cH/^;G7R)*zY֧AB_~p(sb?>AE_OU9,2@b/_^nU9(_}ag) nT/I|}zO A({Ǔ.!.R;|^LqR FcӗCь(xYľ]D#|C+$vC~64ծ6lwTf]\mrU'g#D{(#P^Ts[=4_5%M!eDKArFt/e9-TSuJ喌v`ʁԏ~HȜeQh=PJЖ^@þ7:ٙdL])Tg16@ p7tVDG-yxh%l-πI^KL!^ /D榽M Qsf1)9&kwtAH_GUւUc4˃-+ ps4c^ϣ籁x{JE+uiYAtz.*f0ێ HPe {~ܥX=vIG iq8Kl>늫0˛#e={0iưM怳ɶhX_u X~`2l*숭,S~cGDls;(чͽ{A?s2 1  0^3lVJ>"*\O7;=W ЯLЃ\vQ ]q|RB5Yo31Haif{枉vXg<HC*gpLAD=-օdԤq;_gM Ĩ⪙[SI2<#L*wVN1fywIxR]n4Bx7WSge֟Flt#nuWdC׸=f.ÒJ-w39[KoCdE[!m*ʜԽnVB6\R'?B`YuE @LI9uE@KMD|GI_~K7#a@̛6ױix Ÿ~Q|Oz w^oŪiVՖeg-H.*Ҭ)}·={1hDB ?j3YLj(uqB]U%B1WX| ^knq-A)Ԉg{[;ΑW6Uwb{r6$q$B0 "q#}#r?Kjnw-!sº.GW GH+91aJFB>\wtlRr ߃x-w7l<e'd?LmM!/Uzkc1ܕ/#OJ1NܶR*xwDXҚJU}\]hna+a&rE r[J+"c[9Lܟk07D-yQ>`e?h{3F CE{0|)UV=65JUc:)A-LϺU⫉XBT4sM~5ϨgJ|uAiDgφuLs/0?q-8rs/sr]@0Cwj쫡{,ȼwG:-M,i{2C妒NrI9Y !]:ɱs"bѴ(g#d6cy>@]+%$YS_[/vx j'f-K!eY=VTꋄ`ZAU lfcN+bb7lpYi=JOEnܢRE$xM`/%X7"ޙ EνH|Z\Pt{%"# 2ɑ9a,'z`0ړ2HgŬ-s{}T V%=S!&t$Gb~$ۻ|iRX pȥZFVa=?үFVo=':MD$0y<% \hAR3po ڤjD=Me)]QOcӿhbm;j+%vެL q^ǫ3E" <ceܾ)2L#/ ; ǍR3O݀M}Mz-b8*K~"ܡwɶ[ƥs[mEAtFЉ/0rnl _N BbT=ߋ^-)݈hH]UEO$iyD9cҗjXNvΛSr 9y]{*G̎/Eߡ5}T,A6"lT~ȝPpNFL?-dK ̇u$s.i^<I=ekv(Y`.Z+Um\JP9 ofz_=w, p #2leb'ZX #I'[e6`n#gtz\dĜ?;b=_~\^.DSin &ᓳL1V|j6^VT=,##gAן 3O2dgl;A|evOwjԚ?GT7?^\;$e;{<oBF*tANV vQHezM7\9/j/(bE1W}K$ a, y$J Q ( u֫ka3xc=5'}ql_1n=/thEegS&,>̡G8(h1k-/WuϙM(>Lv_SL_t0jOOm{~8/C5V#=EhmZ>n9uE L}-O.K_^Idyh$) >F宇]\i#߽+sJT D+6lpd#%(NByiӢLtUPMݩӦh$ScWG T}4w}kElrЀgg<yKͪ7.둩@$6}vOB5Ơ/K3zʢ z p2/ ߄ RZuc<]],pxO-yOhWliD|50$A,SގI!LƷ?3Nv(*!@8; +؂u]ܿʾ9.7 ?κTMmaLNyfzt+Gq~Lji|1'`M"GMIYRM >B>ƈ|2\b;(*Y*|袕[JdM> h]z?u&ODE P=E(fu܂ނGH0Ee-t+0yqׁ{I͡~Y[K\J=iuCtiZG#: 1ϯ%829 al]nHr΍XsqP@!P{<[mms?=!i * (xFQhxҤ&SV9_bY=}F9QXiv`q!BDPG-O [ҩ#b `94vW9]]_ .p/2U͓LiHsA t]Zno=r' D#Û~]g;Y*IndZ]9q0y7V:g&5o\O#DL@ѥX"aF)(Wst%:*7 Q X[En:9 ~N pf|jPU\͎(KyWl# |l8kfp 7;m伌;m@0}l#uۜql[:7miL=DN .?ԋc&sjl*9n-愂N쫸ܝ%l*1ؓmrAdiK SѤ=eF+e=^9Z(*AC/lVWU4o$rDu Jmc=ԍ|O@1%E/C_>ݾ1eF \r:šdғeg5;tyƑt6SN5&Z@?PҮ D˞&D'bʈͶr͸-?4@@n`; ؄K, *AX%] #|C}(ϵN}?]$,*Y5xJBm28]> K! ^sݍ ð,*ڊȢάrfy*FY3Փjt;5LL6 *zJͱk We}oq\:_ VC ם8yNߍ}hyGZqo_ Cx M_O֥ȢZs*<[Ӯ2`A^w/dsate'ay5|OFe {$f_{LGSH!Dn* 4RSSH7 2IJ')g)[dO8GeB"%1`F%aц>s8!kT)4L@̷f.X <0I9L'[8R/ci|chm9-j/J>c0 r(/Jctz%3z_I45bs>iMn0  Qq>) P>zB̫LZ:*yPV{Jfqءvt/{^e9c{sqw1}Qxmǜdo4_{ h(@ oIO J5$w30Z.N-E}oCV){;${_ڢRƎcUk_e1äUs]LU$HwԜĢ5;4kb(: ̿%ZB?Z$^Tt7/( $ZDqm l 纂p Qy NC(ݮsX(rgʃ*I |,nߖyYHձNlCR8 _bEoqq) &ȌIVYXrLHFly 8Aqg%Țc-X֏4sjNgxQb!9!6ğ%mW܆O %nMiGLy)[M֞*[G+^]?̓Y!%g΄Щq98x9lzm|슶]HDɅW$bXm <\q; ZMr wVrEiuo8*[>wr<3V8参H-:g6 4l=Dm"({2MpU0֥FU;Lb,9 v澏C06eVhbڍiFjH> _0,x)Ebiz%+3+;1w.n`S͕QpO4L.X巪6ܜR^wLcovm*U TGk-4p/Lz8x@E 2iט _  SHݲ`~^yewܥ Ĭy%]rKᄛ} i܊H@+&U[~%4'I,,dn:5ҒBP)VיZ@a-#f_|f8F* EB@([T*ϧd0CVOtuhj-?cCW]KqL$`ӻ\{s+oH%aB:2@(|BhE;Nc`⾘og\OyҌ^uUx墽L%@[!-RWjQq Qs{hM^_N/uv]CMz"-GAIߚFoO^Q>Nsmel!+)&Aw̆i9ڏTlIu.n[tד4#-?I~<}ϒșmU!wleO 6té-H&r[w0kLW-H3qx0]Z!~ ړ)u.֕7n< ;%KbM|cpY&zuӓzAu?LQ\e/Y֙Юcf&$;MscʑaRKzԔ ;^ylDfilXhuVZFd39iH`*IS4r=MneW86n[[Tzrvb0LOg FGcȒ y|yB*ά",DC @˹ -@pZ ԍd衆>7w]q{i)ialk0qe9w:Bp T>4:З|G̖Q~]O[I= \֠(*.lBʞV5z望C6kS`&ZAMQ xKp ݋=0+}*CRCax׷cj ܟ cj3LV?NyG;t%o]@]?VI ;<˜`0y` yWW΢KT;)O6꼵ttB:Ve0,r7#$cX7~jӡi]xc:֌029ܖݡ!YkP(c/I3x.cҸ ӝw3C}\҄c~wWPG2IDa݈s$aQ/m0zXVF>ګ(MaLwk'ro^o(8-|>UD@t8 5lsvX/qpSI ۣ, Fj!%Yg2ʡA|#oN|JXf1sC@mMm}@ =z5,ՙ!rtH\;SEg86=!wk ٫,:[Vg0I#9( ĺ1h*K~[,[$ d&Ԋ?:ܔ)>na4|s6dZp^dA90Yjq;f KTīþsj8c:6;J: "8 lŰĀxnMt5nSI7lؓ{/7݀ݫuk 2JJL8{1zɩ5s,pC:aS2$1[4LF 0\,yPrT8xG$m7wqlt% idN\[ ];CJ>>n%1-R~SoCŬ6J?KJX$0:El).H˳^헽NPb:(wV,οnWqC؀]).Ԏ_`ڡF)-WC ]Um%#lmWn'צׇn7ըc (eZ욄'q ),h]* 05kaZG޵hStg|b`eґ&1;X8r#gL1FxHt2t CI.W $F!b~>=Prʬ#|r:#Cϟ >jy;%TS(Ov|Y8o?ș<$Bt =X\o'#;@a1$l ]Nv5KҭSQS 'Dⶨѝށg1\nL3X;l瞣0f B&|zXVތ\ǧ$6^9vsi✽JNe(՘,:u 0cj tI0&YkLQ'kW܌<>t0y"*ʄc׫/oF ݛ趗}*mA0VHz'OsޖD!A=tۗ67/r5*L֎jL{~xb#7|XJzR,W~ 2D3=*KK 7,1G5N||?ykr_*7薖HQU;5g96ung`l2Ɇ;af g%}xR_GzB:YЉd!m{\@KԶo'\{q `ZOG<- ӆ,o횢̪6Qq5h"+Bz*-9|H@Εv]rW抴%ڧM/⼫&uBӭHAjep_i h +D{/LYm,hLcǡIH;Z iyBIX٦p$oY坫;jՕuAƐIzAM'0xwJDM<̺ ôe)x-.0jjrP68dq|DL~UU.4:p+sB]l^A}8>!"TUs)7PC8Ĉ"$Gumor18e˧:k\еCX-dăZy,v.6Uٶ• 5)lsa|~O)/T$gʵ~)@V)D1G6EpIᦞK:4 @qgYGZ.g  uvizoNCS#B!~eQ}j"Eev᠖!$Y#GK2O,BBy>Ț.F!ΔυS,gi1XW`iih4[ۻZ'jhQEpV(2 s ćޢ)jbcˁE^-+drVʿa$y<>:[b$<6qLіvpFOT v>(b>p48NfGH>6W}w6;3)@[UEYm2-:#Ab:?8oSBU 2]C UvVHLRb.2QlgYaPJoMXoM[lݪ Y }xxYy&짅5 'rF#t p8,7~+veOE8 nY~pm5O3ױxa1ˠç=)KMN/],;-3zȯ)n<..]!,@Î(cdO6 Q?g請G|2fk1"o-P'(izz}$5}&APd ?먢k#4omM+:d?'ڞ"(mΉO*Xc~ՠӊhY ,XΤHצ&x˅O)֝JAB7D19*AU6"tL|A{X_q2DC`'VGUBi< 1)ur]?&}`C_ bK#c ]O-&Ũ1BŻqIi-֪斻$}(b3Tp\I(T#;fVܻj)^k 8B갓 'EN?.*,v.!w\vRoZpϭ"nX+ [;Ԓ?GARi&^bnQm-'`w vڡaOPRTƧ.[jq $k^a<_>jڂ74`Qsa,RFh@16L\q1jd*d([HbE6Oe.t9㵅=CP /td7hxJĎțL^SFݞa sR?l g_7` ZspZ49 cϖyoAd C|]uW'Btaic@HzYZ33RAsgy8*Z 4 "W9ʲady+tEI\vLbu҆Qt{aFQ8<ĀVYïqMF6N2(c߾A#GU2@.ͥDVjKZ4&L P"QbGrKr1DLa#EF#Ύw>6id=>lLKHRbRԲrᤐ| \%tRډbpo^?׻ϒT.AH׫[I⩙[e"PH9ѶI$et?=o7\I+?%yצ NH2m;-="s&_ } 7)}?XY?= 51kvNQ4`ԉd|*M-7`=1[y|DeΈ5lKPtN!I&u|P[6lV |!pT1z|2o~ϳc,s؍yag_t@#i+!%5&Pm=O q@X4OLfb(oFq&S8݆h_*,O'Fa[-~ x+o5َH8o-.f:@{U#8ePu I\;h߱E4UgDVU?,XPK(>e:>˵3DŘ zvqR* Eb3;,@S6!iy&zrp[:d6CǢ9@4P19o߱@뮲f; a֕9LIzkrRVJ ? 3kPZfo?׬ !?aІד:u * %¿}!t%xfgԺ_ޭ;V7,g`T @]8:L4ted l~OC0j-! KhcE /D`pN+0E]Ak WW;6^=XkbR4-%EtsF&ẅne\Aks.BeM ueڧ6~Y;VߞT踠@Ŝ ٙ\BEHJFؐ :Rً倬k~FAr~?=&G5(|sJIJ%M3sa 7f >>K"l hhI}yp\3' =KB]Yl6޵n]23g(!m m䯈i D~~BԫZ38#D!HxiǙн¤Kb% W[K*:4 HBSST7kXdqtTp"il3%uWrWCx dj+wLO pJXN>ͷC$8۬NHd"F]ݻ* 5>qnW~09g3K+JO9+?8o\ֈ Fq]2j4"4KŇvXSD@V:tk^ZihoHZ?t?db"G[`Z$Hg-^G 568g(yF[FԿca`o$yA x{tqjUn3V{m$y^ _% ? JSa/uN3 J6Ȉr@D=G-E# _tFԯxGNi#iiluNkk΋uό~->b[J-PSr#DyV=##r)Y^_o~,RlLZ^OI݅f`HӋډC me@nͧ)`9kú^ AqV)ކQȃ *z,邢$y5bjK(#g35 |w)e+57V~gȈsNl )! phywd*͚^;7S! MZS3SөV ucD)in e$>AH)4ˉ9W2f #KױqUmSݱYQ5~懴(`DN1ui; ip2~/1*0Vޒ*cEM <MBJ?(xW 3tD$W]$6sJrLk]I jEy٭.!:6f]Q@}~`ImTL"! Ϋ:2dݮYm/boh YKKS('̶Jgig԰ hxs-F  W/s M&4fJSHK]`ϻWL/2}W:JE<ԇ8{0F6m4vsm˔Uި@5ݏaO?5}O&}Vztmǔ;V#dajn {/E- ejP!ۼ<+2#E"bQsn7"""Lp̏mřn>d3*y67ܱ&f9 O)cmg\&ʤ)"<hW/!٤!~\:8C-B ٳJ/yl#\Nx>k^Ƈeơ/g{: ݪ=JNj{I~O?h69u=AWu]vabepCb&fV0g$x3]&2xqR׏ͩH2]DG.T5d?-%^UݎVc2p 1ER`3leO騺({.ڰ\#mfakҍtZ_0 SyF}XNg1#(ّ-=n2Tx']ʊqm辰?fG#eQY* pr&K6-![uqw86|64$Gt}7Yf;D,Oש0)@?''/xI2Uªb`ƅURG xhQhgx tIE:5HO4I"q.Q&C}ۤͭŗӕ[5vُB$ "`׸U>WӵG-ʍqS&%f|q (`8Șz/q} ߯2ɧPq,`X9'N>С1sq,2HT6#JHeǓo]jw{<}4Ewn EdCgL8QGv|.zߵX?Kl͝'^9&/\+)(Df[BB f?s D^ɣfjSIVI)ũBcY6vshԁ s,r+G!M&0YF0%qvZf Kto*'!y%|7^^bΘSi={)e)^[dP[W#;T\},ph7ӢjFk-8Prݭb0F}ޯN ~IK#m(軱&h*)Y{kB)e&R0ɰwvCFk@Y'5B/d/D^+}@CVPFe8pk5"E~^cnݠQiAj+HaI|܉=r,LY%XuXdi4kscb2|}&HYQ/4pٶ,#FWFz%|X501oUIFZ+EveB)ׁ.\ `e]%-o6;UE$S6^QdуKyO'L] zO&{oQ(FF {VS)MOI"lhvTm]+, h,u*l8mĔ*뾔^3e41Jrz' FDӡ P"7'G|J:rnx}5zTÃUj? ra7!P6'Uye`~^ZZHs X7U'Ӂ_W=>,e|BVӎ'ri!rdT)P{e;N]"5#1\!B#tcD'Rׇ{ej8+"t6<Ln ݀k'}VTY372~u>ДqdBȺ;,b|_X]n$8!$s@/T L[o%_ΛdD_@lOTWyxzꯥ]AnsMU,#y*$ 5cOI};wj-s# lй\sCV2wTijɞz~,:mO?z ]2H߷d!;`,#I>jח, ̾{i}7kcV]H6ꚩ".[+)>:JG T8j>{ȥGbO>B5Ђ:>U ?Oҕ2D&x,(Tb8LRgrA>#F@)m}g& hY*~ٌ/6AVO˼W[XOQw[^qo9]CQh U(*`QhnuKHi݊cOv(fVac1$B]V.R#:y&tob+la7O\dmeo4b*j/X:ӰJ56qCh5^2o{bG R4/:vEXny e9:3Ā}#DcƉ CqD(wr,}Bs,:gSA x;˫_V! FGFp;׹57-UwY?N5uqr00N>D2 `Ê:ЫTų F24xj :ee3L.^zإ- 9qI,j0%L$A٭3* G ux dֈ0~ #,2'k5W6Wv\GYB[u>3\VBa*!znڠi5 8Ԗ+k`2Kl{, Bƴۂ2/K~peQg,xGEv'?MkI6m5JV7_M<%̊>LƄ$v2enT̲8Jd < iv`a6MyaGYAPJ1xSxy7 ږ",* 58T~[c.?ȣ*/) F$_'d4|Vl?{>0iQlC dPRQ-}s&xE·( ! l rbp G/\t O*Oe?,ĆsZeR.zE$DYV >|d'"(__2Q?v5_@2( b:^"7(7ԐV\|1 8ݴӠnH'W_f=+]71сc4VDiVA@yrQzLj(g)lKI?MwMV\ޚ8rqf1g#'SeC0D}A%Ƈīg^h\kI7\p vLX9pSꍝ<;XT+bΧjYn YYӹGeG9D$'hݍ@o"2R t~{4L!d+Z"4^smIᷜ| TMܢdDőZXa2 !?7 q$=MY tQ5|u[ 7ld::*4{}!*JCfni<7qz̟y~馸˅mU;R^ ;_m)XKbFb!dh];QTe[$$#ʚ KS$a_ɫmw( |o I*lUgE)ݲ@ML~Mx+aJ2ftdzԿ"btylne#'G!F*G7 KN['W_.fDJ\DhB>ajXiRw@ GZ}vxp[}&sS3\rXoI!8UPkL(nJ=/yF|*Ig>񳘁& U|IK匫 瓲+h"D7B08کykHIl<-aoDЩç}fP[P4b+R !\ X>sxzw RBGX޵SCZ4$DP xz~S>d6>)+,d! ̿ףV4P{@Z+'S^NJ4;9嵐X>E"EGsl}XcRi6Lp!)jmԗ5pCܪB-+?~uRGߗ7@tXh5BV Bц #x{> [MkuQjOk;!sQm(C1 v#N#zXtrIܧdɈe>;/(@.7yX7Q $ f uNI=^(| _ܵvvRN@#pwRe0*PK'D F HLfGbյjam\}0ڽ{Հ<^QBNtMVq#g+-ʁCR6!lգ~MS =ĬYhi^3tCdq]9L*Si߮BCVg;XICb$tb"WId1zئwUٰ1Jb> 4 xo?u;D:Y ?F+y\\N8 E1ڨ`͢smtJ:v)ŷKD1ǔ1ɋ+r , SD$U.2iu0O2cD^,=m U(tx7o9Jc$UXfg!EtM1S$DԜB5I҇ (Bz {l\BIxn ^NОvt3sX\"Z T5 OoVg&c;~bkX-cT:~ + ml!KHVm{+[Aay"im*oB"u!`ƍIL^5g6cwie`.{M* 046i6!ɧEt4:i(y,-ò6kX& xgu$B&oWUFiWwNM?Pt>16Qx܅|kMvAꀛZSϖY~XHt6vR֏?kHTd11Al/rXjNպДS7c }9z~\}#`Rs]݆ to,.f:]7v^{jM\giVL0\GH?AXTM ;E_ hȏg1ͱˮT:rpbq>`g>ȦEOA.nbmb#m^kQtu  _a8^~V[6?U/+zn†_yP2q'Ƨjo?SmބUD[">1,1EpA# xRAMۇ.1[}ԊȤ rc+ˬj,k<֮i-[:ޯ 铋V TjVɔ9~B57ktham@/ʼnut`v筎3Ē;41HNEp€ʽӡb~tgKPqWCXUxjJ\G̡d\ȴ@W'IyD(1o}o{ya#B^L&PPx Y$ 418΅\H~7,Pkb %yN[ߩi:t[9ߨ<*ԃGTFД}E 6Sk=L) mK5hEqt= ߒ}0,4l2g !ӗOt[߆Ϋq-^VBS.+-x^=]}bLL㚬$Z,bU ShTEK+=q"KNo|\DaV/yroѢOcnΦf)hQd\ɫ>.,>UKq5r.-D]Nu{)wQZ,t(Yz#zīnc(z Wɖ+؀q E/ze8\0'? MҳOkSiHӑ5բZ7pqKvcẼT;Q:DDjSh3~ &osSɛj*kbv`-jD#TC}\w>5criYqŨ_Cl{ `$WEn"'1l9iHY^շBheE]Cs ͊tЦK/۔0Rh*Zn{ N3*QlIĘ:Z -;{2Ԯ"8잤l `i|{pcR?oWHC[8P|lX'|n!#ӥ sւb)σ]79U(mRnFPD~pXZ549#c']6?U{ul7jѮT r,j[6&٫S/Ñ\M !q#2w1A+W."2g+V (f;0}Sb{43ׁo(&rXmzLѠj Z>M6W v3\ Bo 36Rlrze )`/yutl9͵/QC68Q#6|R$XFP B, J^+y2/D+ݚZԟ!'B{V3d+Nr^;g6}gQߜv-UX$ΪZ` v#nd-176.` IS-l++Hz`%pb؁lZXRjAY]'*ͯ+Z$H$wr~h\sqX%`pUzWс@x $73\cMר>g6@M\+Y!n>ҐG;bԠ̒Yh%\ѷiA:RȚh#%UhZ[_pKAYr0FVh_}J>q!B/~Y[4l}SkRCik+=l!mPK [2ײQ'mA[lMJ˪X~~1l:jśodUڛ6’]!8\P Uٯr2VЍ i҄ܔ.A8bc msN7]->x*НNsY-| 9(F$064VS}87nЄ1}<ECvg,A/s.S2H.W}NA0ٝc[װCǸMKT_j!TP%K=ُh%5-;9G i|7F ]8Ç~8WLcDl8<{]0wpH3Բۇ,|s4 n'Ciuz=c! _Oo Iaa\6j$ҍ`3aGx2,g^à9#%Ϥ;nQAn/tĦ]3/s}@s"MkX Q)ZwG &e耣~ɫe$&SF|sBmE|x(g"ٴ&g]%׸Ib=+e ckoY_Q92mѫr[}`'V_ tELYمb(4x{/փO5PnpH$>ܳ 6&ب{<"~8-'?@.LLPέ*ƈ2[۲Z宴vRn=T(zdC? `/KSZ+ܵc jT{wP@&#L=C%еP!äIQEJ?bJ[D`IK}x:{]#lI^CXjvL x jMrB2Sqň<BM:IQ~ͥ*QM#W!Ty)w܂U5)-{!lvr$]@v9du񠓵Fma*YnIt4M`ޢT,}EB/RbEU3&%gx6^OAfrxy19-f01fd_A^"+z1s?it:(}$-A9<2BUa=h ¢FF.3S/ZML|`Sm!u~jU*zD8JNw^='i*au+IMXjrutca$~+jC)a?y6e?=(XQ"7$_It {z&DZEԂ1 !G8(G~RIhѠnAb*װ 40鶭{Coڀ.N~ d&$Pԥ$;*.A?="A6npl)vf}xB ]59 |Vq:֬N{W4e{gvEΟuUxnD'Y.#&yUVmB2gjfdFϔ6 $C̑[.FNX244yg:eҲutâՃ M~HvZ&27Qtpm &"إ5@r>, G}ɖ5C&*5D MYL[ RIJ>1MF5498_heQJfڳbR &;n#:b >sW@;2Lf[` w(Թ)}/9 UQa⃖ e`&~W%s86KbOc~z7dCn܅اxY*aB^gMym%(Fx -umOdJ7Ek1}f|MJև,{! 0>=tSReF)p?ҚE 9]xRJ"&Ɇ:2BէoS7>(΋?Pl`+8zS ۴Sv.P%T6]Hb 01g[ikAaRfB(;Cta{66cJR@Es{JI&аWߕ:<)2uq$ύfoBb8K)۾O*4=tlhf D`p[",ikd{׋e PDǮQ&"}1d 𯷑 mY!Y<Ƀ[gb`VX 4~$8BF)wam\'U.D9dfC!{%-S> T׋龨Q(y3PmWUPG3CiޢS옻duvVby g48E(uINE]Iܬs (OowAU1K}&SrK 0JtGwOs[1eOW kp@M" SC7N6h74 Qnd=W\Aq&y#:/O)KNNd|4Ճ cM S6(LZm_C=϶X η1а, I9f0* 1L-..A3#SU&@jl2s:s^_z_ZXtoIڸͦ#ʽ~sT*kfy>DMơi8 AZ6JHcCþ]A \`,L25_Vb A#P:p9V\!qBť^EB2ԞqyOO̼%cyw 4u-|<[<| 3;-c͏۵M ?pL9",.1Imi|g{lUXVЛH 4٘*q6Yj\R5vcq4:GY]aݧ0̍wO0u'rIޣ42 [@ugPO؊Mq 녕  p(IbqہZqE"^y4w'053{WZ"KUcD)jlGof΅naLfϿxT[A8j\ _ar9SUIm; _ t'<81$\-_][2&.k&x\\t* ,L:hfO9gpe[S\\=7 Q YjhD T;f@Qּ1&iqFkA3ʕymӧ۶Y78Q A.vOW:L#3.f1,͈.ފD { .gMG!sF QG-#~-z9;<+}jFdJ߁d>4QK%0ޔ!mW ' @BJ} @SG6&z-(4Y,.~-QxO|$W'ӯ"pG7Dꋯǯf>qQb{ˮV5:RP;FExrVXىQǹF́е.XSz,F(?5v)Z2Q_W~i%pPi/|9K{mbSJZN?Q~h4oyf_-vk>Xd&}3v M~(~8]bnPk&vOGWyXXW+(n8Ȥ EG8Yw(Ǖ@F+$OoVK@*EOJ\U@)h uOY ''I&@礋[LA}9Vj' *?EjOjcbYqܜIWֽc dPSZdӳZ* pO%2ZVQ0\HjdB05,Hd*OH,$"~HSQf\aD+_`vqigA\<=Fe޾-9X,ijNX䅵/j8n*oŕFDiİ[ysPCYOZDފcKU,hIMp{ۇ"׬볱$5x(**@e5½.b&ԧ3qbh~Kh},G[I #@e/+vڢNP$'}xU}E)hZ?QM=@o;bV$ {`l{cSzk?]^Ջbfc?ͪKԦWKX#54󦆊9V'{_;|bP>wYFz%]SBfKb؄7xD6@3oZp?%%a$$@-66&f ENrfMkzդBOV^BK=@xa wP^PYiumbnb}&lR{-v{=dx5KBk$2 *|Fp?L0QZ@D/6B{|5a[DkTjD<Q(kC` Fw;(`:RFo^EnAԺgput%s{_ST)ɍ>u08%1mf|L5lInhK%GZ=,n)F'aE0To8}1iحcӚWӢ7*DcӴF[ s)Q%dcbmw\_Va4+.^4ޤ2gK#nD94 &>YGIԜöj֏[[:\bbU+tUWP;<"%d`A+JZnfn3XQ,JI@ƵP$+JbF?:!ȫ^yա_i4v?lֺK[2q 0c hT3xa8lM2i)o^ͣR b??4yrQz wV֍sļZí5 'u,,'Nq0AZ=889^j f?,Oul LnRbG2q1﹎f K^724JG<P!eP);էQX84/~dS qV_1 k; %eX@:Iq%_&zw.,è\0v1dEfZظΞ]xpA̝*(,3_əYFT m X! ^/sKb ͭWJyw/&$4iIx7/ x >ZWTo/S{3Niӷ풴P ΋6p&Y UnS+ d{9? ho.UxrX>Lc 1cH[2.oȉ3ꩵAs>V,1iw^FKs[w҂壊 O?(݂$_5ӥ|ҕU7{B3@]e")8L .#\p{V뾾W* wU!!V~TOfC>dҪ~ PW7mҍV br$T l31̏;7esq51D`ni CB>~qvO:-cܑ##o A#wy?5Zm0ߞ񊨰 6VkIɰR,$dYzs&!D/HbOs2껋=f9"Z[i|Aݺ08]c1`EPx[H:U9B "tc)cNI&B:bY`tv &'j+s!{^yA2.O2/@1lԠn+.{p8d|UZUrZ#hYHUzevĸ'JBOJ$P%0Z, Xӷ@)հF'$*7{Wn1F${ !$#2O,H6O]nzn~(&./cⱑ[MO.KupoЧЍW>=ٗc,4͛4MN_+vkU%l֎MEB-\+ZwD6ws;GN o7? .Cxhn-cei v5g)c)A+Bp1i < W$zr@ĖwE* q&Ju{K<yof#Ɲ'j]nDD&YN۾b=%V݆/HpItDg]Să띞N(_8cE[|pffڸIZ;p* qŒ,~2a>l.c1[% 1t;-s)Iy+px-'oLsq#n],_7?N@ŀvcfQ Ы&:Aa.eεl_ڨtTg<#]N| '. ?9;j )|J OPKMru/$v >"񣉎ǐN59 ])k#eO)id?BSc|(xuW GGW)%:n\u]?(GkՌi/üW`Hմ,w^JOQP7ݣ3*|7c:n!S?KK ?T6e@ZL iI0<*fx=CL {D!l'Q֦dje֡91J'9g܃߹7tñYBw|1vp%UF%^ $Bpߓ} L2U}ivJۄS%vfTgHf0 P~$* ^tH\!<%N Lv4:[4$(sґv*@d&UID_n%Y~P&=PCU]~o \8WzܜK{%|͟6C" 8ȪeۂRN9T@RM&O!\SJ:~euѠ+4l4I;og< ˃IM:0_z͹Nڔ`^\-ó؈4-Rjx'`=1S*-º(>~PAN rn(I#a4t tHnf1.#$[lYY' 7lP9õζm@DŪz؟-2nvk"W9 P%W`4_Jl'2 є"$nKO NjrTWv6ey|N+Ưyv?o+A5j؝W@2EJⲐ#6+׬гp=v̐M:[pk~DU pL('t`fZ_s *29tFj.asڙݻU @Y#_9~`0 l ?I+CB)TޔTuǧN+'I!k!YMZuXq8$?Īk WeƟx>ʄJx =@>pSQf"*y B\L a&blM٘;ӟf)0hq܆w5f t4(Bq9{LPwJPD>1/P: D5.y:&x>3)}O|;Z6*samgw-瑎Ff(s}Fs` p./)[G1k¨C؇ZhMoi#U)yT/6gAHb;6` eU-~΂o<%cWgenH8@$=VZnte~Ct QDYsX<\@UUHEMda.oi>a *QqJ8KO>VB~,˙Õ D1 Xpy ]Tp<+ʸ@ tRf el "[hx+7(4bnCdsݓ8Vr6f|kn|c^W]NZ+> :Bkf`u 4O ZYCNLs xW~Ga8lWT ӣR_rAA%iYHA5wIJY&J3uQl\(c֣LqAz=¼({DHޔHs cz:,xoCe9[B{"sBr_"XD}rE;zgHNdp"Apo~ytb\F]H?צ$oz d~VK<)BE6"9,o!jJyU3lolfiZi_d?]ܛlsޓ!D_Vg>Y 巶EX!{ƹb$1ygxhE2"I OWJS [+ XiBZۛ3$U%| nX=XaOnkpݳ=Ѯ)tmF~A 34ۺpidaO5>z{3öc~UƘZM)9X׉˖uNy}|-Zނ?knqahXqhC~clRdžǑ[ؗZHH0"zb&Yn-C{BP`,p!ђIN&@Sn ºynDoNC:ja``_^nt+C?}6Ls񙫁I^¾[@7xsbsAV/ 3E?.GG"Ϊr$@TPyzïs0@WB8cg%X%*6,^t='fqU8sX)6ܐMqV$љ+EiŕrV_Ԟ^3GxH ')G<@vg)DJe~9G ŀּ53FVaD+ I9e"&ng1&[}ުw6$OYc]vAG% }C)أ/)U z.l*8W)o(AIɽk|Ɓ|E['-ζ i&إi~;Iǔ ,8\;B1t8ԫW(WgIauw'ouQO, WYpԓWfE;af9kGtFн;}5'ixPÉz*=R2.q`oܗ}ϩWoZΊf^&0Ho{|~p5̶ۗ<#ɅͰ{( z[XQʟ͓yKp?t!ӴM\XPgYZ.shstrtab.note.gnu.propertybuild-idhash.dynsymversion_relapltrini.sec.texfodateh_frame_hdrcc_except_lttbss_arrayamico.attribute_debuglinkdata(pD&"Mh $c 4B.AD) , t0D !?40Θ"6cn#(EDCRb-MWR\GCk@(IԐf޺(Ov~7 vCʛ\*yּq!*S5/k0$2=\*uBԣ%Uև&zX g ?:Z&\i,2WvPxNqHTfKD^T Sis)D8\-͵̐k.vR-adW T#In.C%mzz p7,dt .dž2|w!izi0ΙY